Data analysis_2022.ipynb

{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "<class 'pandas.core.frame.DataFrame'>\n",
      "RangeIndex: 3648 entries, 0 to 3647\n",
      "Data columns (total 42 columns):\n",
      " #   Column                           Non-Null Count  Dtype  \n",
      "---  ------                           --------------  -----  \n",
      " 0   OSEBuildingID                    3648 non-null   int64  \n",
      " 1   DataYear                         3648 non-null   int64  \n",
      " 2   BuildingName                     3648 non-null   object \n",
      " 3   BuildingType                     3648 non-null   object \n",
      " 4   TaxParcelIdentificationNumber    3648 non-null   object \n",
      " 5   Address                          3648 non-null   object \n",
      " 6   City                             3647 non-null   object \n",
      " 7   State                            3647 non-null   object \n",
      " 8   ZipCode                          3593 non-null   float64\n",
      " 9   Latitude                         3648 non-null   float64\n",
      " 10  Longitude                        3648 non-null   float64\n",
      " 11  Neighborhood                     3648 non-null   object \n",
      " 12  CouncilDistrictCode              3648 non-null   int64  \n",
      " 13  YearBuilt                        3648 non-null   int64  \n",
      " 14  NumberofFloors                   3648 non-null   int64  \n",
      " 15  NumberofBuildings                3648 non-null   int64  \n",
      " 16  PropertyGFATotal                 3648 non-null   int64  \n",
      " 17  PropertyGFABuilding(s)           3648 non-null   int64  \n",
      " 18  PropertyGFAParking               3648 non-null   int64  \n",
      " 19  ENERGYSTARScore                  2242 non-null   float64\n",
      " 20  SiteEUIWN(kBtu/sf)               2857 non-null   float64\n",
      " 21  SiteEUI(kBtu/sf)                 2902 non-null   float64\n",
      " 22  SiteEnergyUse(kBtu)              2902 non-null   float64\n",
      " 23  SiteEnergyUseWN(kBtu)            2857 non-null   float64\n",
      " 24  SourceEUIWN(kBtu/sf)             2857 non-null   float64\n",
      " 25  SourceEUI(kBtu/sf)               2902 non-null   float64\n",
      " 26  EPAPropertyType                  3344 non-null   object \n",
      " 27  LargestPropertyUseType           3400 non-null   object \n",
      " 28  LargestPropertyUseTypeGFA        3400 non-null   float64\n",
      " 29  SecondLargestPropertyUseType     1906 non-null   object \n",
      " 30  SecondLargestPropertyUseTypeGFA  1906 non-null   float64\n",
      " 31  ThirdLargestPropertyUseType      700 non-null    object \n",
      " 32  ThirdLargestPropertyUseTypeGFA   700 non-null    float64\n",
      " 33  Electricity(kWh)                 3338 non-null   float64\n",
      " 34  SteamUse(kBtu)                   116 non-null    float64\n",
      " 35  NaturalGas(therms)               1724 non-null   float64\n",
      " 36  ComplianceStatus                 3648 non-null   object \n",
      " 37  ComplianceIssue                  3648 non-null   object \n",
      " 38  Electricity(kBtu)                3338 non-null   float64\n",
      " 39  NaturalGas(kBtu)                 1724 non-null   float64\n",
      " 40  TotalGHGEmissions                3346 non-null   float64\n",
      " 41  GHGEmissionsIntensity            3344 non-null   float64\n",
      "dtypes: float64(20), int64(9), object(13)\n",
      "memory usage: 1.2+ MB\n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "(   OSEBuildingID  DataYear                    BuildingName    BuildingType   \n",
       " 0              1      2022            MAYFLOWER PARK HOTEL  NonResidential  \\\n",
       " 1              2      2022                 PARAMOUNT HOTEL  NonResidential   \n",
       " 2              3      2022  WESTIN HOTEL (Parent Building)  NonResidential   \n",
       " 3              5      2022                       HOTEL MAX  NonResidential   \n",
       " 4              8      2022           WARWICK SEATTLE HOTEL  NonResidential   \n",
       " \n",
       "   TaxParcelIdentificationNumber         Address     City State  ZipCode   \n",
       " 0                    0659000030   405 OLIVE WAY  SEATTLE    WA  98101.0  \\\n",
       " 1                    0659000220     724 PINE ST  SEATTLE    WA  98101.0   \n",
       " 2                    0659000475    1900 5TH AVE  SEATTLE    WA  98101.0   \n",
       " 3                    0659000640  620 STEWART ST  SEATTLE    WA  98101.0   \n",
       " 4                    0659000970   401 LENORA ST  SEATTLE    WA  98121.0   \n",
       " \n",
       "    Latitude  Longitude Neighborhood  CouncilDistrictCode  YearBuilt   \n",
       " 0  47.61220 -122.33799     DOWNTOWN                    7       1927  \\\n",
       " 1  47.61307 -122.33361     DOWNTOWN                    7       1996   \n",
       " 2  47.61367 -122.33822     DOWNTOWN                    7       1969   \n",
       " 3  47.61412 -122.33664     DOWNTOWN                    7       1926   \n",
       " 4  47.61375 -122.34047     DOWNTOWN                    7       1980   \n",
       " \n",
       "    NumberofFloors  NumberofBuildings  PropertyGFATotal   \n",
       " 0              12                  1             88434  \\\n",
       " 1              11                  1            103566   \n",
       " 2              41                  3            956110   \n",
       " 3              10                  1             61320   \n",
       " 4              18                  1            175580   \n",
       " \n",
       "    PropertyGFABuilding(s)  PropertyGFAParking  ENERGYSTARScore   \n",
       " 0                   88434                   0             65.0  \\\n",
       " 1                   88502               15064             94.0   \n",
       " 2                  759392              196718             90.0   \n",
       " 3                   61320                   0             30.0   \n",
       " 4                  113580               62000             87.0   \n",
       " \n",
       "    SiteEUIWN(kBtu/sf)  SiteEUI(kBtu/sf)  SiteEnergyUse(kBtu)   \n",
       " 0           82.900002         82.900002            7333372.0  \\\n",
       " 1           57.799999         58.000000            5135498.0   \n",
       " 2           63.599998         64.199997           60652388.0   \n",
       " 3          118.800003        118.800003            7282760.0   \n",
       " 4           97.199997         97.800003           12066758.0   \n",
       " \n",
       "    SiteEnergyUseWN(kBtu)  SourceEUIWN(kBtu/sf)  SourceEUI(kBtu/sf)   \n",
       " 0              7333372.0            165.600006          165.600006  \\\n",
       " 1              5118380.0            107.900002          108.099998   \n",
       " 2             60137812.0            136.699997          137.300003   \n",
       " 3              7282760.0            204.899994          204.899994   \n",
       " 4             12003440.0            168.800003          169.300003   \n",
       " \n",
       "   EPAPropertyType LargestPropertyUseType  LargestPropertyUseTypeGFA   \n",
       " 0           Hotel                  Hotel                    88434.0  \\\n",
       " 1           Hotel                  Hotel                    88502.0   \n",
       " 2           Hotel                  Hotel                   945349.0   \n",
       " 3           Hotel                  Hotel                    61320.0   \n",
       " 4           Hotel                  Hotel                   123445.0   \n",
       " \n",
       "   SecondLargestPropertyUseType  SecondLargestPropertyUseTypeGFA   \n",
       " 0                          NaN                              NaN  \\\n",
       " 1                      Parking                          15064.0   \n",
       " 2                      Parking                         117783.0   \n",
       " 3                          NaN                              NaN   \n",
       " 4                      Parking                          68009.0   \n",
       " \n",
       "   ThirdLargestPropertyUseType  ThirdLargestPropertyUseTypeGFA   \n",
       " 0                         NaN                             NaN  \\\n",
       " 1                         NaN                             NaN   \n",
       " 2               Swimming Pool                             0.0   \n",
       " 3                         NaN                             NaN   \n",
       " 4               Swimming Pool                             0.0   \n",
       " \n",
       "    Electricity(kWh)  SteamUse(kBtu)  NaturalGas(therms) ComplianceStatus   \n",
       " 0         1107295.0       2192383.0             13629.0        Compliant  \\\n",
       " 1          698673.0             NaN             27516.0        Compliant   \n",
       " 2        10597710.0      18793702.0             56993.0        Compliant   \n",
       " 3          783804.0       1549427.0             30590.0        Compliant   \n",
       " 4         1378847.0             NaN             73621.0        Compliant   \n",
       " \n",
       "   ComplianceIssue  Electricity(kBtu)  NaturalGas(kBtu)  TotalGHGEmissions   \n",
       " 0        No Issue          3778091.0         1362900.0              264.5  \\\n",
       " 1        No Issue          2383872.0         2751630.0              155.3   \n",
       " 2        No Issue         36159387.0         5699300.0             1963.7   \n",
       " 3        No Issue          2674341.0         3058990.0              298.2   \n",
       " 4        No Issue          4704626.0         7362130.0              409.0   \n",
       " \n",
       "    GHGEmissionsIntensity  \n",
       " 0                   2.99  \n",
       " 1                   1.75  \n",
       " 2                   2.59  \n",
       " 3                   4.86  \n",
       " 4                   3.60  ,\n",
       " None)"
      ]
     },
     "execution_count": 3,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "import pandas as pd\n",
    "pd.set_option('display.max_columns', None)\n",
    "pd.set_option('display.max_rows', None)\n",
    "import matplotlib.pyplot as plt\n",
    "import seaborn as sns\n",
    "\n",
    "file_path = \"2022_Building_Energy_Benchmarking_20240322.csv\"\n",
    "data = pd.read_csv(file_path)\n",
    "\n",
    "data.head(), data.info()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>OSEBuildingID</th>\n",
       "      <th>DataYear</th>\n",
       "      <th>BuildingName</th>\n",
       "      <th>BuildingType</th>\n",
       "      <th>TaxParcelIdentificationNumber</th>\n",
       "      <th>Address</th>\n",
       "      <th>City</th>\n",
       "      <th>State</th>\n",
       "      <th>ZipCode</th>\n",
       "      <th>Latitude</th>\n",
       "      <th>Longitude</th>\n",
       "      <th>Neighborhood</th>\n",
       "      <th>CouncilDistrictCode</th>\n",
       "      <th>YearBuilt</th>\n",
       "      <th>NumberofFloors</th>\n",
       "      <th>NumberofBuildings</th>\n",
       "      <th>PropertyGFATotal</th>\n",
       "      <th>PropertyGFABuilding(s)</th>\n",
       "      <th>PropertyGFAParking</th>\n",
       "      <th>ENERGYSTARScore</th>\n",
       "      <th>SiteEUIWN(kBtu/sf)</th>\n",
       "      <th>SiteEUI(kBtu/sf)</th>\n",
       "      <th>SiteEnergyUse(kBtu)</th>\n",
       "      <th>SiteEnergyUseWN(kBtu)</th>\n",
       "      <th>SourceEUIWN(kBtu/sf)</th>\n",
       "      <th>SourceEUI(kBtu/sf)</th>\n",
       "      <th>EPAPropertyType</th>\n",
       "      <th>LargestPropertyUseType</th>\n",
       "      <th>LargestPropertyUseTypeGFA</th>\n",
       "      <th>SecondLargestPropertyUseType</th>\n",
       "      <th>SecondLargestPropertyUseTypeGFA</th>\n",
       "      <th>ThirdLargestPropertyUseType</th>\n",
       "      <th>ThirdLargestPropertyUseTypeGFA</th>\n",
       "      <th>Electricity(kWh)</th>\n",
       "      <th>SteamUse(kBtu)</th>\n",
       "      <th>NaturalGas(therms)</th>\n",
       "      <th>ComplianceStatus</th>\n",
       "      <th>ComplianceIssue</th>\n",
       "      <th>Electricity(kBtu)</th>\n",
       "      <th>NaturalGas(kBtu)</th>\n",
       "      <th>TotalGHGEmissions</th>\n",
       "      <th>GHGEmissionsIntensity</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>1</td>\n",
       "      <td>2022</td>\n",
       "      <td>MAYFLOWER PARK HOTEL</td>\n",
       "      <td>NonResidential</td>\n",
       "      <td>659000030</td>\n",
       "      <td>405 OLIVE WAY</td>\n",
       "      <td>SEATTLE</td>\n",
       "      <td>WA</td>\n",
       "      <td>98101.0</td>\n",
       "      <td>47.61220</td>\n",
       "      <td>-122.33799</td>\n",
       "      <td>DOWNTOWN</td>\n",
       "      <td>7</td>\n",
       "      <td>1927</td>\n",
       "      <td>12</td>\n",
       "      <td>1</td>\n",
       "      <td>88434</td>\n",
       "      <td>88434</td>\n",
       "      <td>0</td>\n",
       "      <td>65.0</td>\n",
       "      <td>82.900002</td>\n",
       "      <td>82.900002</td>\n",
       "      <td>7333372.0</td>\n",
       "      <td>7333372.0</td>\n",
       "      <td>165.600006</td>\n",
       "      <td>165.600006</td>\n",
       "      <td>Hotel</td>\n",
       "      <td>Hotel</td>\n",
       "      <td>88434.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1107295.0</td>\n",
       "      <td>2192383.0</td>\n",
       "      <td>13629.0</td>\n",
       "      <td>Compliant</td>\n",
       "      <td>No Issue</td>\n",
       "      <td>3778091.0</td>\n",
       "      <td>1362900.0</td>\n",
       "      <td>264.5</td>\n",
       "      <td>2.99</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>2</td>\n",
       "      <td>2022</td>\n",
       "      <td>PARAMOUNT HOTEL</td>\n",
       "      <td>NonResidential</td>\n",
       "      <td>659000220</td>\n",
       "      <td>724 PINE ST</td>\n",
       "      <td>SEATTLE</td>\n",
       "      <td>WA</td>\n",
       "      <td>98101.0</td>\n",
       "      <td>47.61307</td>\n",
       "      <td>-122.33361</td>\n",
       "      <td>DOWNTOWN</td>\n",
       "      <td>7</td>\n",
       "      <td>1996</td>\n",
       "      <td>11</td>\n",
       "      <td>1</td>\n",
       "      <td>103566</td>\n",
       "      <td>88502</td>\n",
       "      <td>15064</td>\n",
       "      <td>94.0</td>\n",
       "      <td>57.799999</td>\n",
       "      <td>58.000000</td>\n",
       "      <td>5135498.0</td>\n",
       "      <td>5118380.0</td>\n",
       "      <td>107.900002</td>\n",
       "      <td>108.099998</td>\n",
       "      <td>Hotel</td>\n",
       "      <td>Hotel</td>\n",
       "      <td>88502.0</td>\n",
       "      <td>Parking</td>\n",
       "      <td>15064.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>698673.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>27516.0</td>\n",
       "      <td>Compliant</td>\n",
       "      <td>No Issue</td>\n",
       "      <td>2383872.0</td>\n",
       "      <td>2751630.0</td>\n",
       "      <td>155.3</td>\n",
       "      <td>1.75</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>3</td>\n",
       "      <td>2022</td>\n",
       "      <td>WESTIN HOTEL (Parent Building)</td>\n",
       "      <td>NonResidential</td>\n",
       "      <td>659000475</td>\n",
       "      <td>1900 5TH AVE</td>\n",
       "      <td>SEATTLE</td>\n",
       "      <td>WA</td>\n",
       "      <td>98101.0</td>\n",
       "      <td>47.61367</td>\n",
       "      <td>-122.33822</td>\n",
       "      <td>DOWNTOWN</td>\n",
       "      <td>7</td>\n",
       "      <td>1969</td>\n",
       "      <td>41</td>\n",
       "      <td>3</td>\n",
       "      <td>956110</td>\n",
       "      <td>759392</td>\n",
       "      <td>196718</td>\n",
       "      <td>90.0</td>\n",
       "      <td>63.599998</td>\n",
       "      <td>64.199997</td>\n",
       "      <td>60652388.0</td>\n",
       "      <td>60137812.0</td>\n",
       "      <td>136.699997</td>\n",
       "      <td>137.300003</td>\n",
       "      <td>Hotel</td>\n",
       "      <td>Hotel</td>\n",
       "      <td>945349.0</td>\n",
       "      <td>Parking</td>\n",
       "      <td>117783.0</td>\n",
       "      <td>Swimming Pool</td>\n",
       "      <td>0.0</td>\n",
       "      <td>10597710.0</td>\n",
       "      <td>18793702.0</td>\n",
       "      <td>56993.0</td>\n",
       "      <td>Compliant</td>\n",
       "      <td>No Issue</td>\n",
       "      <td>36159387.0</td>\n",
       "      <td>5699300.0</td>\n",
       "      <td>1963.7</td>\n",
       "      <td>2.59</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>5</td>\n",
       "      <td>2022</td>\n",
       "      <td>HOTEL MAX</td>\n",
       "      <td>NonResidential</td>\n",
       "      <td>659000640</td>\n",
       "      <td>620 STEWART ST</td>\n",
       "      <td>SEATTLE</td>\n",
       "      <td>WA</td>\n",
       "      <td>98101.0</td>\n",
       "      <td>47.61412</td>\n",
       "      <td>-122.33664</td>\n",
       "      <td>DOWNTOWN</td>\n",
       "      <td>7</td>\n",
       "      <td>1926</td>\n",
       "      <td>10</td>\n",
       "      <td>1</td>\n",
       "      <td>61320</td>\n",
       "      <td>61320</td>\n",
       "      <td>0</td>\n",
       "      <td>30.0</td>\n",
       "      <td>118.800003</td>\n",
       "      <td>118.800003</td>\n",
       "      <td>7282760.0</td>\n",
       "      <td>7282760.0</td>\n",
       "      <td>204.899994</td>\n",
       "      <td>204.899994</td>\n",
       "      <td>Hotel</td>\n",
       "      <td>Hotel</td>\n",
       "      <td>61320.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>783804.0</td>\n",
       "      <td>1549427.0</td>\n",
       "      <td>30590.0</td>\n",
       "      <td>Compliant</td>\n",
       "      <td>No Issue</td>\n",
       "      <td>2674341.0</td>\n",
       "      <td>3058990.0</td>\n",
       "      <td>298.2</td>\n",
       "      <td>4.86</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>8</td>\n",
       "      <td>2022</td>\n",
       "      <td>WARWICK SEATTLE HOTEL</td>\n",
       "      <td>NonResidential</td>\n",
       "      <td>659000970</td>\n",
       "      <td>401 LENORA ST</td>\n",
       "      <td>SEATTLE</td>\n",
       "      <td>WA</td>\n",
       "      <td>98121.0</td>\n",
       "      <td>47.61375</td>\n",
       "      <td>-122.34047</td>\n",
       "      <td>DOWNTOWN</td>\n",
       "      <td>7</td>\n",
       "      <td>1980</td>\n",
       "      <td>18</td>\n",
       "      <td>1</td>\n",
       "      <td>175580</td>\n",
       "      <td>113580</td>\n",
       "      <td>62000</td>\n",
       "      <td>87.0</td>\n",
       "      <td>97.199997</td>\n",
       "      <td>97.800003</td>\n",
       "      <td>12066758.0</td>\n",
       "      <td>12003440.0</td>\n",
       "      <td>168.800003</td>\n",
       "      <td>169.300003</td>\n",
       "      <td>Hotel</td>\n",
       "      <td>Hotel</td>\n",
       "      <td>123445.0</td>\n",
       "      <td>Parking</td>\n",
       "      <td>68009.0</td>\n",
       "      <td>Swimming Pool</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1378847.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>73621.0</td>\n",
       "      <td>Compliant</td>\n",
       "      <td>No Issue</td>\n",
       "      <td>4704626.0</td>\n",
       "      <td>7362130.0</td>\n",
       "      <td>409.0</td>\n",
       "      <td>3.60</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "   OSEBuildingID  DataYear                    BuildingName    BuildingType  \\\n",
       "0              1      2022            MAYFLOWER PARK HOTEL  NonResidential   \n",
       "1              2      2022                 PARAMOUNT HOTEL  NonResidential   \n",
       "2              3      2022  WESTIN HOTEL (Parent Building)  NonResidential   \n",
       "3              5      2022                       HOTEL MAX  NonResidential   \n",
       "4              8      2022           WARWICK SEATTLE HOTEL  NonResidential   \n",
       "\n",
       "  TaxParcelIdentificationNumber         Address     City State  ZipCode  \\\n",
       "0                     659000030   405 OLIVE WAY  SEATTLE    WA  98101.0   \n",
       "1                     659000220     724 PINE ST  SEATTLE    WA  98101.0   \n",
       "2                     659000475    1900 5TH AVE  SEATTLE    WA  98101.0   \n",
       "3                     659000640  620 STEWART ST  SEATTLE    WA  98101.0   \n",
       "4                     659000970   401 LENORA ST  SEATTLE    WA  98121.0   \n",
       "\n",
       "   Latitude  Longitude Neighborhood  CouncilDistrictCode  YearBuilt  \\\n",
       "0  47.61220 -122.33799     DOWNTOWN                    7       1927   \n",
       "1  47.61307 -122.33361     DOWNTOWN                    7       1996   \n",
       "2  47.61367 -122.33822     DOWNTOWN                    7       1969   \n",
       "3  47.61412 -122.33664     DOWNTOWN                    7       1926   \n",
       "4  47.61375 -122.34047     DOWNTOWN                    7       1980   \n",
       "\n",
       "   NumberofFloors  NumberofBuildings  PropertyGFATotal  \\\n",
       "0              12                  1             88434   \n",
       "1              11                  1            103566   \n",
       "2              41                  3            956110   \n",
       "3              10                  1             61320   \n",
       "4              18                  1            175580   \n",
       "\n",
       "   PropertyGFABuilding(s)  PropertyGFAParking  ENERGYSTARScore  \\\n",
       "0                   88434                   0             65.0   \n",
       "1                   88502               15064             94.0   \n",
       "2                  759392              196718             90.0   \n",
       "3                   61320                   0             30.0   \n",
       "4                  113580               62000             87.0   \n",
       "\n",
       "   SiteEUIWN(kBtu/sf)  SiteEUI(kBtu/sf)  SiteEnergyUse(kBtu)  \\\n",
       "0           82.900002         82.900002            7333372.0   \n",
       "1           57.799999         58.000000            5135498.0   \n",
       "2           63.599998         64.199997           60652388.0   \n",
       "3          118.800003        118.800003            7282760.0   \n",
       "4           97.199997         97.800003           12066758.0   \n",
       "\n",
       "   SiteEnergyUseWN(kBtu)  SourceEUIWN(kBtu/sf)  SourceEUI(kBtu/sf)  \\\n",
       "0              7333372.0            165.600006          165.600006   \n",
       "1              5118380.0            107.900002          108.099998   \n",
       "2             60137812.0            136.699997          137.300003   \n",
       "3              7282760.0            204.899994          204.899994   \n",
       "4             12003440.0            168.800003          169.300003   \n",
       "\n",
       "  EPAPropertyType LargestPropertyUseType  LargestPropertyUseTypeGFA  \\\n",
       "0           Hotel                  Hotel                    88434.0   \n",
       "1           Hotel                  Hotel                    88502.0   \n",
       "2           Hotel                  Hotel                   945349.0   \n",
       "3           Hotel                  Hotel                    61320.0   \n",
       "4           Hotel                  Hotel                   123445.0   \n",
       "\n",
       "  SecondLargestPropertyUseType  SecondLargestPropertyUseTypeGFA  \\\n",
       "0                          NaN                              NaN   \n",
       "1                      Parking                          15064.0   \n",
       "2                      Parking                         117783.0   \n",
       "3                          NaN                              NaN   \n",
       "4                      Parking                          68009.0   \n",
       "\n",
       "  ThirdLargestPropertyUseType  ThirdLargestPropertyUseTypeGFA  \\\n",
       "0                         NaN                             NaN   \n",
       "1                         NaN                             NaN   \n",
       "2               Swimming Pool                             0.0   \n",
       "3                         NaN                             NaN   \n",
       "4               Swimming Pool                             0.0   \n",
       "\n",
       "   Electricity(kWh)  SteamUse(kBtu)  NaturalGas(therms) ComplianceStatus  \\\n",
       "0         1107295.0       2192383.0             13629.0        Compliant   \n",
       "1          698673.0             NaN             27516.0        Compliant   \n",
       "2        10597710.0      18793702.0             56993.0        Compliant   \n",
       "3          783804.0       1549427.0             30590.0        Compliant   \n",
       "4         1378847.0             NaN             73621.0        Compliant   \n",
       "\n",
       "  ComplianceIssue  Electricity(kBtu)  NaturalGas(kBtu)  TotalGHGEmissions  \\\n",
       "0        No Issue          3778091.0         1362900.0              264.5   \n",
       "1        No Issue          2383872.0         2751630.0              155.3   \n",
       "2        No Issue         36159387.0         5699300.0             1963.7   \n",
       "3        No Issue          2674341.0         3058990.0              298.2   \n",
       "4        No Issue          4704626.0         7362130.0              409.0   \n",
       "\n",
       "   GHGEmissionsIntensity  \n",
       "0                   2.99  \n",
       "1                   1.75  \n",
       "2                   2.59  \n",
       "3                   4.86  \n",
       "4                   3.60  "
      ]
     },
     "execution_count": 6,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>OSEBuildingID</th>\n",
       "      <th>DataYear</th>\n",
       "      <th>ZipCode</th>\n",
       "      <th>Latitude</th>\n",
       "      <th>Longitude</th>\n",
       "      <th>CouncilDistrictCode</th>\n",
       "      <th>YearBuilt</th>\n",
       "      <th>NumberofFloors</th>\n",
       "      <th>NumberofBuildings</th>\n",
       "      <th>PropertyGFATotal</th>\n",
       "      <th>PropertyGFABuilding(s)</th>\n",
       "      <th>PropertyGFAParking</th>\n",
       "      <th>ENERGYSTARScore</th>\n",
       "      <th>SiteEUIWN(kBtu/sf)</th>\n",
       "      <th>SiteEUI(kBtu/sf)</th>\n",
       "      <th>SiteEnergyUse(kBtu)</th>\n",
       "      <th>SiteEnergyUseWN(kBtu)</th>\n",
       "      <th>SourceEUIWN(kBtu/sf)</th>\n",
       "      <th>SourceEUI(kBtu/sf)</th>\n",
       "      <th>LargestPropertyUseTypeGFA</th>\n",
       "      <th>SecondLargestPropertyUseTypeGFA</th>\n",
       "      <th>ThirdLargestPropertyUseTypeGFA</th>\n",
       "      <th>Electricity(kWh)</th>\n",
       "      <th>SteamUse(kBtu)</th>\n",
       "      <th>NaturalGas(therms)</th>\n",
       "      <th>Electricity(kBtu)</th>\n",
       "      <th>NaturalGas(kBtu)</th>\n",
       "      <th>TotalGHGEmissions</th>\n",
       "      <th>GHGEmissionsIntensity</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>count</th>\n",
       "      <td>3648.000000</td>\n",
       "      <td>3648.0</td>\n",
       "      <td>3593.000000</td>\n",
       "      <td>3648.000000</td>\n",
       "      <td>3648.000000</td>\n",
       "      <td>3648.000000</td>\n",
       "      <td>3648.000000</td>\n",
       "      <td>3648.000000</td>\n",
       "      <td>3648.000000</td>\n",
       "      <td>3.648000e+03</td>\n",
       "      <td>3.648000e+03</td>\n",
       "      <td>3648.000000</td>\n",
       "      <td>2242.000000</td>\n",
       "      <td>2857.000000</td>\n",
       "      <td>2902.000000</td>\n",
       "      <td>2.902000e+03</td>\n",
       "      <td>2.857000e+03</td>\n",
       "      <td>2857.000000</td>\n",
       "      <td>2902.000000</td>\n",
       "      <td>3.400000e+03</td>\n",
       "      <td>1906.000000</td>\n",
       "      <td>700.000000</td>\n",
       "      <td>3.338000e+03</td>\n",
       "      <td>1.160000e+02</td>\n",
       "      <td>1.724000e+03</td>\n",
       "      <td>3.338000e+03</td>\n",
       "      <td>1.724000e+03</td>\n",
       "      <td>3346.000000</td>\n",
       "      <td>3344.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>mean</th>\n",
       "      <td>24036.143640</td>\n",
       "      <td>2022.0</td>\n",
       "      <td>98116.490398</td>\n",
       "      <td>47.624837</td>\n",
       "      <td>-122.334875</td>\n",
       "      <td>4.471491</td>\n",
       "      <td>1973.871711</td>\n",
       "      <td>5.153235</td>\n",
       "      <td>1.135965</td>\n",
       "      <td>1.068331e+05</td>\n",
       "      <td>9.011310e+04</td>\n",
       "      <td>16720.027686</td>\n",
       "      <td>74.201160</td>\n",
       "      <td>50.853168</td>\n",
       "      <td>52.315024</td>\n",
       "      <td>5.804546e+06</td>\n",
       "      <td>5.620603e+06</td>\n",
       "      <td>111.979034</td>\n",
       "      <td>114.524983</td>\n",
       "      <td>8.649614e+04</td>\n",
       "      <td>33265.767051</td>\n",
       "      <td>14526.920000</td>\n",
       "      <td>1.044304e+06</td>\n",
       "      <td>9.757366e+06</td>\n",
       "      <td>2.900029e+04</td>\n",
       "      <td>3.563165e+06</td>\n",
       "      <td>2.900028e+06</td>\n",
       "      <td>120.392080</td>\n",
       "      <td>1.045526</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>std</th>\n",
       "      <td>14448.607256</td>\n",
       "      <td>0.0</td>\n",
       "      <td>16.746737</td>\n",
       "      <td>0.046689</td>\n",
       "      <td>0.027044</td>\n",
       "      <td>2.109105</td>\n",
       "      <td>34.801809</td>\n",
       "      <td>5.819357</td>\n",
       "      <td>1.206936</td>\n",
       "      <td>1.810165e+05</td>\n",
       "      <td>1.464336e+05</td>\n",
       "      <td>48375.454454</td>\n",
       "      <td>24.802102</td>\n",
       "      <td>50.354594</td>\n",
       "      <td>51.679871</td>\n",
       "      <td>1.788389e+07</td>\n",
       "      <td>1.718677e+07</td>\n",
       "      <td>103.886476</td>\n",
       "      <td>105.200494</td>\n",
       "      <td>1.355107e+05</td>\n",
       "      <td>58366.593500</td>\n",
       "      <td>32845.806846</td>\n",
       "      <td>2.824717e+06</td>\n",
       "      <td>2.294196e+07</td>\n",
       "      <td>1.223726e+05</td>\n",
       "      <td>9.637934e+06</td>\n",
       "      <td>1.223726e+07</td>\n",
       "      <td>628.716037</td>\n",
       "      <td>2.088541</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>min</th>\n",
       "      <td>1.000000</td>\n",
       "      <td>2022.0</td>\n",
       "      <td>98101.000000</td>\n",
       "      <td>47.499170</td>\n",
       "      <td>-122.414250</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>1900.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>2.000000e+04</td>\n",
       "      <td>1.111100e+04</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>4.800000</td>\n",
       "      <td>5.100000</td>\n",
       "      <td>1.166390e+05</td>\n",
       "      <td>1.166390e+05</td>\n",
       "      <td>5.600000</td>\n",
       "      <td>5.600000</td>\n",
       "      <td>6.213000e+03</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>1.194000e+03</td>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>0.200000</td>\n",
       "      <td>0.010000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25%</th>\n",
       "      <td>20292.250000</td>\n",
       "      <td>2022.0</td>\n",
       "      <td>98105.000000</td>\n",
       "      <td>47.601458</td>\n",
       "      <td>-122.350662</td>\n",
       "      <td>3.000000</td>\n",
       "      <td>1954.000000</td>\n",
       "      <td>3.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>2.978825e+04</td>\n",
       "      <td>2.772000e+04</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>62.000000</td>\n",
       "      <td>27.100000</td>\n",
       "      <td>28.000000</td>\n",
       "      <td>9.946132e+05</td>\n",
       "      <td>9.495780e+05</td>\n",
       "      <td>68.699997</td>\n",
       "      <td>70.800003</td>\n",
       "      <td>2.652225e+04</td>\n",
       "      <td>5589.500000</td>\n",
       "      <td>2674.250000</td>\n",
       "      <td>2.039810e+05</td>\n",
       "      <td>1.098172e+06</td>\n",
       "      <td>4.974500e+03</td>\n",
       "      <td>6.959828e+05</td>\n",
       "      <td>4.974525e+05</td>\n",
       "      <td>3.900000</td>\n",
       "      <td>0.110000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>50%</th>\n",
       "      <td>23642.000000</td>\n",
       "      <td>2022.0</td>\n",
       "      <td>98112.000000</td>\n",
       "      <td>47.619340</td>\n",
       "      <td>-122.332460</td>\n",
       "      <td>4.000000</td>\n",
       "      <td>1981.000000</td>\n",
       "      <td>4.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>4.762550e+04</td>\n",
       "      <td>4.430900e+04</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>82.000000</td>\n",
       "      <td>35.799999</td>\n",
       "      <td>36.750000</td>\n",
       "      <td>2.059026e+06</td>\n",
       "      <td>1.981967e+06</td>\n",
       "      <td>85.400002</td>\n",
       "      <td>87.400002</td>\n",
       "      <td>4.330900e+04</td>\n",
       "      <td>12729.500000</td>\n",
       "      <td>5984.000000</td>\n",
       "      <td>3.731880e+05</td>\n",
       "      <td>2.689527e+06</td>\n",
       "      <td>1.148900e+04</td>\n",
       "      <td>1.273318e+06</td>\n",
       "      <td>1.148930e+06</td>\n",
       "      <td>19.750000</td>\n",
       "      <td>0.280000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>75%</th>\n",
       "      <td>27022.250000</td>\n",
       "      <td>2022.0</td>\n",
       "      <td>98122.000000</td>\n",
       "      <td>47.657293</td>\n",
       "      <td>-122.318815</td>\n",
       "      <td>7.000000</td>\n",
       "      <td>2002.000000</td>\n",
       "      <td>6.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>1.027122e+05</td>\n",
       "      <td>8.989375e+04</td>\n",
       "      <td>10437.250000</td>\n",
       "      <td>93.000000</td>\n",
       "      <td>55.000000</td>\n",
       "      <td>56.350001</td>\n",
       "      <td>4.795282e+06</td>\n",
       "      <td>4.648640e+06</td>\n",
       "      <td>116.599998</td>\n",
       "      <td>119.500000</td>\n",
       "      <td>8.804500e+04</td>\n",
       "      <td>34117.000000</td>\n",
       "      <td>13095.250000</td>\n",
       "      <td>8.646685e+05</td>\n",
       "      <td>6.247464e+06</td>\n",
       "      <td>2.559400e+04</td>\n",
       "      <td>2.950248e+06</td>\n",
       "      <td>2.559432e+06</td>\n",
       "      <td>86.450000</td>\n",
       "      <td>1.130000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>max</th>\n",
       "      <td>50893.000000</td>\n",
       "      <td>2022.0</td>\n",
       "      <td>98199.000000</td>\n",
       "      <td>47.733870</td>\n",
       "      <td>-122.258640</td>\n",
       "      <td>7.000000</td>\n",
       "      <td>2022.000000</td>\n",
       "      <td>76.000000</td>\n",
       "      <td>39.000000</td>\n",
       "      <td>2.099379e+06</td>\n",
       "      <td>2.026324e+06</td>\n",
       "      <td>686750.000000</td>\n",
       "      <td>100.000000</td>\n",
       "      <td>956.700012</td>\n",
       "      <td>956.700012</td>\n",
       "      <td>5.795551e+08</td>\n",
       "      <td>5.305824e+08</td>\n",
       "      <td>2678.899902</td>\n",
       "      <td>2678.899902</td>\n",
       "      <td>1.620419e+06</td>\n",
       "      <td>686750.000000</td>\n",
       "      <td>480625.000000</td>\n",
       "      <td>7.906009e+07</td>\n",
       "      <td>1.566072e+08</td>\n",
       "      <td>4.327243e+06</td>\n",
       "      <td>2.697530e+08</td>\n",
       "      <td>4.327243e+08</td>\n",
       "      <td>23545.100000</td>\n",
       "      <td>42.350000</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "       OSEBuildingID  DataYear       ZipCode     Latitude    Longitude  \\\n",
       "count    3648.000000    3648.0   3593.000000  3648.000000  3648.000000   \n",
       "mean    24036.143640    2022.0  98116.490398    47.624837  -122.334875   \n",
       "std     14448.607256       0.0     16.746737     0.046689     0.027044   \n",
       "min         1.000000    2022.0  98101.000000    47.499170  -122.414250   \n",
       "25%     20292.250000    2022.0  98105.000000    47.601458  -122.350662   \n",
       "50%     23642.000000    2022.0  98112.000000    47.619340  -122.332460   \n",
       "75%     27022.250000    2022.0  98122.000000    47.657293  -122.318815   \n",
       "max     50893.000000    2022.0  98199.000000    47.733870  -122.258640   \n",
       "\n",
       "       CouncilDistrictCode    YearBuilt  NumberofFloors  NumberofBuildings  \\\n",
       "count          3648.000000  3648.000000     3648.000000        3648.000000   \n",
       "mean              4.471491  1973.871711        5.153235           1.135965   \n",
       "std               2.109105    34.801809        5.819357           1.206936   \n",
       "min               1.000000  1900.000000        0.000000           0.000000   \n",
       "25%               3.000000  1954.000000        3.000000           1.000000   \n",
       "50%               4.000000  1981.000000        4.000000           1.000000   \n",
       "75%               7.000000  2002.000000        6.000000           1.000000   \n",
       "max               7.000000  2022.000000       76.000000          39.000000   \n",
       "\n",
       "       PropertyGFATotal  PropertyGFABuilding(s)  PropertyGFAParking  \\\n",
       "count      3.648000e+03            3.648000e+03         3648.000000   \n",
       "mean       1.068331e+05            9.011310e+04        16720.027686   \n",
       "std        1.810165e+05            1.464336e+05        48375.454454   \n",
       "min        2.000000e+04            1.111100e+04            0.000000   \n",
       "25%        2.978825e+04            2.772000e+04            0.000000   \n",
       "50%        4.762550e+04            4.430900e+04            0.000000   \n",
       "75%        1.027122e+05            8.989375e+04        10437.250000   \n",
       "max        2.099379e+06            2.026324e+06       686750.000000   \n",
       "\n",
       "       ENERGYSTARScore  SiteEUIWN(kBtu/sf)  SiteEUI(kBtu/sf)  \\\n",
       "count      2242.000000         2857.000000       2902.000000   \n",
       "mean         74.201160           50.853168         52.315024   \n",
       "std          24.802102           50.354594         51.679871   \n",
       "min           1.000000            4.800000          5.100000   \n",
       "25%          62.000000           27.100000         28.000000   \n",
       "50%          82.000000           35.799999         36.750000   \n",
       "75%          93.000000           55.000000         56.350001   \n",
       "max         100.000000          956.700012        956.700012   \n",
       "\n",
       "       SiteEnergyUse(kBtu)  SiteEnergyUseWN(kBtu)  SourceEUIWN(kBtu/sf)  \\\n",
       "count         2.902000e+03           2.857000e+03           2857.000000   \n",
       "mean          5.804546e+06           5.620603e+06            111.979034   \n",
       "std           1.788389e+07           1.718677e+07            103.886476   \n",
       "min           1.166390e+05           1.166390e+05              5.600000   \n",
       "25%           9.946132e+05           9.495780e+05             68.699997   \n",
       "50%           2.059026e+06           1.981967e+06             85.400002   \n",
       "75%           4.795282e+06           4.648640e+06            116.599998   \n",
       "max           5.795551e+08           5.305824e+08           2678.899902   \n",
       "\n",
       "       SourceEUI(kBtu/sf)  LargestPropertyUseTypeGFA  \\\n",
       "count         2902.000000               3.400000e+03   \n",
       "mean           114.524983               8.649614e+04   \n",
       "std            105.200494               1.355107e+05   \n",
       "min              5.600000               6.213000e+03   \n",
       "25%             70.800003               2.652225e+04   \n",
       "50%             87.400002               4.330900e+04   \n",
       "75%            119.500000               8.804500e+04   \n",
       "max           2678.899902               1.620419e+06   \n",
       "\n",
       "       SecondLargestPropertyUseTypeGFA  ThirdLargestPropertyUseTypeGFA  \\\n",
       "count                      1906.000000                      700.000000   \n",
       "mean                      33265.767051                    14526.920000   \n",
       "std                       58366.593500                    32845.806846   \n",
       "min                           0.000000                        0.000000   \n",
       "25%                        5589.500000                     2674.250000   \n",
       "50%                       12729.500000                     5984.000000   \n",
       "75%                       34117.000000                    13095.250000   \n",
       "max                      686750.000000                   480625.000000   \n",
       "\n",
       "       Electricity(kWh)  SteamUse(kBtu)  NaturalGas(therms)  \\\n",
       "count      3.338000e+03    1.160000e+02        1.724000e+03   \n",
       "mean       1.044304e+06    9.757366e+06        2.900029e+04   \n",
       "std        2.824717e+06    2.294196e+07        1.223726e+05   \n",
       "min        0.000000e+00    1.194000e+03        0.000000e+00   \n",
       "25%        2.039810e+05    1.098172e+06        4.974500e+03   \n",
       "50%        3.731880e+05    2.689527e+06        1.148900e+04   \n",
       "75%        8.646685e+05    6.247464e+06        2.559400e+04   \n",
       "max        7.906009e+07    1.566072e+08        4.327243e+06   \n",
       "\n",
       "       Electricity(kBtu)  NaturalGas(kBtu)  TotalGHGEmissions  \\\n",
       "count       3.338000e+03      1.724000e+03        3346.000000   \n",
       "mean        3.563165e+06      2.900028e+06         120.392080   \n",
       "std         9.637934e+06      1.223726e+07         628.716037   \n",
       "min         0.000000e+00      0.000000e+00           0.200000   \n",
       "25%         6.959828e+05      4.974525e+05           3.900000   \n",
       "50%         1.273318e+06      1.148930e+06          19.750000   \n",
       "75%         2.950248e+06      2.559432e+06          86.450000   \n",
       "max         2.697530e+08      4.327243e+08       23545.100000   \n",
       "\n",
       "       GHGEmissionsIntensity  \n",
       "count            3344.000000  \n",
       "mean                1.045526  \n",
       "std                 2.088541  \n",
       "min                 0.010000  \n",
       "25%                 0.110000  \n",
       "50%                 0.280000  \n",
       "75%                 1.130000  \n",
       "max                42.350000  "
      ]
     },
     "execution_count": 7,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data.describe()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Outliers Count</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>ENERGYSTARScore</th>\n",
       "      <td>89</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>SiteEUIWN(kBtu/sf)</th>\n",
       "      <td>241</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>SiteEUI(kBtu/sf)</th>\n",
       "      <td>250</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>SiteEnergyUse(kBtu)</th>\n",
       "      <td>326</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>SiteEnergyUseWN(kBtu)</th>\n",
       "      <td>322</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>SourceEUIWN(kBtu/sf)</th>\n",
       "      <td>268</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>SourceEUI(kBtu/sf)</th>\n",
       "      <td>273</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                       Outliers Count\n",
       "ENERGYSTARScore                    89\n",
       "SiteEUIWN(kBtu/sf)                241\n",
       "SiteEUI(kBtu/sf)                  250\n",
       "SiteEnergyUse(kBtu)               326\n",
       "SiteEnergyUseWN(kBtu)             322\n",
       "SourceEUIWN(kBtu/sf)              268\n",
       "SourceEUI(kBtu/sf)                273"
      ]
     },
     "execution_count": 16,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "columns_to_check = [\n",
    "    'ENERGYSTARScore', 'SiteEUIWN(kBtu/sf)', 'SiteEUI(kBtu/sf)',\n",
    "    'SiteEnergyUse(kBtu)', 'SiteEnergyUseWN(kBtu)', 'SourceEUIWN(kBtu/sf)',\n",
    "    'SourceEUI(kBtu/sf)']\n",
    "\n",
    "# IQR\n",
    "outliers_summary = {}\n",
    "\n",
    "for column in columns_to_check:\n",
    "    Q1 = data[column].quantile(0.25)\n",
    "    Q3 = data[column].quantile(0.75)\n",
    "    IQR = Q3 - Q1\n",
    "    lower_bound = Q1 - 1.5 * IQR\n",
    "    upper_bound = Q3 + 1.5 * IQR\n",
    "    \n",
    "    outliers_count = data.loc[(data[column] < lower_bound) | (data[column] > upper_bound), column].count()\n",
    "    outliers_summary[column] = outliers_count\n",
    "\n",
    "outliers_df = pd.DataFrame.from_dict(outliers_summary, orient='index', columns=['Outliers Count'])\n",
    "outliers_df"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1600x600 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# bloxplot\n",
    "# Set the style of seaborn\n",
    "sns.set_style(\"whitegrid\")\n",
    "\n",
    "# Creating boxplots for 'SiteEnergyUse(kBtu)' and 'ENERGYSTARScore'\n",
    "fig, ax = plt.subplots(1, 2, figsize=(16, 6))\n",
    "\n",
    "# Site Energy Use (kBtu)\n",
    "sns.boxplot(data=data, y='SiteEnergyUse(kBtu)', ax=ax[0])\n",
    "ax[0].set_title('Site Energy Use (kBtu)')\n",
    "ax[0].set_ylabel('Energy Use (kBtu)')\n",
    "\n",
    "# ENERGYSTARScore\n",
    "sns.boxplot(data=data, y='ENERGYSTARScore', ax=ax[1])\n",
    "ax[1].set_title('ENERGYSTARScore')\n",
    "ax[1].set_ylabel('Score')\n",
    "\n",
    "plt.tight_layout()\n",
    "plt.show()\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th>ComplianceStatus</th>\n",
       "      <th>Compliant</th>\n",
       "      <th>Not Compliant</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>EPAPropertyType</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>Adult Education</th>\n",
       "      <td>3</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Bank Branch</th>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>College/University</th>\n",
       "      <td>23</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Convenience Store without Gas Station</th>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Convention Center</th>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Courthouse</th>\n",
       "      <td>3</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Data Center</th>\n",
       "      <td>2</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Distribution Center</th>\n",
       "      <td>25</td>\n",
       "      <td>14</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Enclosed Mall</th>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Energy/Power Station</th>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Financial Office</th>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Fire Station</th>\n",
       "      <td>3</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Fitness Center/Health Club/Gym</th>\n",
       "      <td>5</td>\n",
       "      <td>3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Food Service</th>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Hospital (General Medical &amp; Surgical)</th>\n",
       "      <td>10</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Hotel</th>\n",
       "      <td>60</td>\n",
       "      <td>12</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Indoor Arena</th>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>K-12 School</th>\n",
       "      <td>139</td>\n",
       "      <td>9</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Laboratory</th>\n",
       "      <td>14</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Library</th>\n",
       "      <td>4</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Mailing Center/Post Office</th>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Manufacturing/Industrial Plant</th>\n",
       "      <td>12</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Medical Office</th>\n",
       "      <td>29</td>\n",
       "      <td>12</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Mixed Use Property</th>\n",
       "      <td>85</td>\n",
       "      <td>31</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Movie Theater</th>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Multifamily HR (10+)</th>\n",
       "      <td>102</td>\n",
       "      <td>18</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Multifamily Housing</th>\n",
       "      <td>6</td>\n",
       "      <td>4</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Multifamily LR (1-4)</th>\n",
       "      <td>846</td>\n",
       "      <td>140</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Multifamily MR (5-9)</th>\n",
       "      <td>632</td>\n",
       "      <td>98</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Museum</th>\n",
       "      <td>7</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Non-Refrigerated Warehouse</th>\n",
       "      <td>86</td>\n",
       "      <td>48</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Office</th>\n",
       "      <td>399</td>\n",
       "      <td>62</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Other</th>\n",
       "      <td>37</td>\n",
       "      <td>11</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Other - Education</th>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Other - Entertainment/Public Assembly</th>\n",
       "      <td>7</td>\n",
       "      <td>6</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Other - Lodging/Residential</th>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Other - Mall</th>\n",
       "      <td>3</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Other - Public Services</th>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Other - Recreation</th>\n",
       "      <td>18</td>\n",
       "      <td>5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Other - Restaurant/Bar</th>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Other - Services</th>\n",
       "      <td>2</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Other - Utility</th>\n",
       "      <td>3</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Other/Specialty Hospital</th>\n",
       "      <td>3</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Outpatient Rehabilitation/Physical Therapy</th>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Parking</th>\n",
       "      <td>9</td>\n",
       "      <td>6</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Performing Arts</th>\n",
       "      <td>5</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Police Station</th>\n",
       "      <td>3</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Pre-school/Daycare</th>\n",
       "      <td>2</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Prison/Incarceration</th>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Refrigerated Warehouse</th>\n",
       "      <td>11</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Residence Hall/Dormitory</th>\n",
       "      <td>7</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Residential Care Facility</th>\n",
       "      <td>3</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Restaurant</th>\n",
       "      <td>5</td>\n",
       "      <td>3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Retail Store</th>\n",
       "      <td>42</td>\n",
       "      <td>22</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Self-Storage Facility</th>\n",
       "      <td>27</td>\n",
       "      <td>8</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Social/Meeting Hall</th>\n",
       "      <td>5</td>\n",
       "      <td>4</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Stadium (Open)</th>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Strip Mall</th>\n",
       "      <td>7</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Supermarket/Grocery Store</th>\n",
       "      <td>30</td>\n",
       "      <td>5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Transportation Terminal/Station</th>\n",
       "      <td>2</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Urgent Care/Clinic/Other Outpatient</th>\n",
       "      <td>2</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Wholesale Club/Supercenter</th>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Worship Facility</th>\n",
       "      <td>25</td>\n",
       "      <td>30</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "ComplianceStatus                            Compliant  Not Compliant\n",
       "EPAPropertyType                                                     \n",
       "Adult Education                                     3              0\n",
       "Bank Branch                                         1              1\n",
       "College/University                                 23              2\n",
       "Convenience Store without Gas Station               1              0\n",
       "Convention Center                                   1              0\n",
       "Courthouse                                          3              0\n",
       "Data Center                                         2              0\n",
       "Distribution Center                                25             14\n",
       "Enclosed Mall                                       1              1\n",
       "Energy/Power Station                                1              0\n",
       "Financial Office                                    1              0\n",
       "Fire Station                                        3              0\n",
       "Fitness Center/Health Club/Gym                      5              3\n",
       "Food Service                                        1              0\n",
       "Hospital (General Medical & Surgical)              10              1\n",
       "Hotel                                              60             12\n",
       "Indoor Arena                                        1              0\n",
       "K-12 School                                       139              9\n",
       "Laboratory                                         14              1\n",
       "Library                                             4              0\n",
       "Mailing Center/Post Office                          1              0\n",
       "Manufacturing/Industrial Plant                     12              0\n",
       "Medical Office                                     29             12\n",
       "Mixed Use Property                                 85             31\n",
       "Movie Theater                                       1              0\n",
       "Multifamily HR (10+)                              102             18\n",
       "Multifamily Housing                                 6              4\n",
       "Multifamily LR (1-4)                              846            140\n",
       "Multifamily MR (5-9)                              632             98\n",
       "Museum                                              7              1\n",
       "Non-Refrigerated Warehouse                         86             48\n",
       "Office                                            399             62\n",
       "Other                                              37             11\n",
       "Other - Education                                   1              0\n",
       "Other - Entertainment/Public Assembly               7              6\n",
       "Other - Lodging/Residential                         1              2\n",
       "Other - Mall                                        3              2\n",
       "Other - Public Services                             1              0\n",
       "Other - Recreation                                 18              5\n",
       "Other - Restaurant/Bar                              1              0\n",
       "Other - Services                                    2              1\n",
       "Other - Utility                                     3              0\n",
       "Other/Specialty Hospital                            3              0\n",
       "Outpatient Rehabilitation/Physical Therapy          1              0\n",
       "Parking                                             9              6\n",
       "Performing Arts                                     5              2\n",
       "Police Station                                      3              0\n",
       "Pre-school/Daycare                                  2              0\n",
       "Prison/Incarceration                                1              0\n",
       "Refrigerated Warehouse                             11              2\n",
       "Residence Hall/Dormitory                            7              2\n",
       "Residential Care Facility                           3              1\n",
       "Restaurant                                          5              3\n",
       "Retail Store                                       42             22\n",
       "Self-Storage Facility                              27              8\n",
       "Social/Meeting Hall                                 5              4\n",
       "Stadium (Open)                                      1              0\n",
       "Strip Mall                                          7              1\n",
       "Supermarket/Grocery Store                          30              5\n",
       "Transportation Terminal/Station                     2              1\n",
       "Urgent Care/Clinic/Other Outpatient                 2              0\n",
       "Wholesale Club/Supercenter                          1              1\n",
       "Worship Facility                                   25             30"
      ]
     },
     "execution_count": 12,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# compliance status distribution 'EPAPropertyType' and 'ComplianceStatus'\n",
    "compliance_status_grouped = data.groupby(['EPAPropertyType', 'ComplianceStatus']).size().unstack(fill_value=0)\n",
    "compliance_status_grouped"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th>ComplianceStatus</th>\n",
       "      <th>Compliant</th>\n",
       "      <th>Not Compliant</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>EPAPropertyType</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>Other - Lodging/Residential</th>\n",
       "      <td>33.333333</td>\n",
       "      <td>66.666667</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Worship Facility</th>\n",
       "      <td>45.454545</td>\n",
       "      <td>54.545455</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Enclosed Mall</th>\n",
       "      <td>50.000000</td>\n",
       "      <td>50.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Bank Branch</th>\n",
       "      <td>50.000000</td>\n",
       "      <td>50.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Wholesale Club/Supercenter</th>\n",
       "      <td>50.000000</td>\n",
       "      <td>50.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Other - Entertainment/Public Assembly</th>\n",
       "      <td>53.846154</td>\n",
       "      <td>46.153846</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Social/Meeting Hall</th>\n",
       "      <td>55.555556</td>\n",
       "      <td>44.444444</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Multifamily Housing</th>\n",
       "      <td>60.000000</td>\n",
       "      <td>40.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Other - Mall</th>\n",
       "      <td>60.000000</td>\n",
       "      <td>40.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Parking</th>\n",
       "      <td>60.000000</td>\n",
       "      <td>40.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Restaurant</th>\n",
       "      <td>62.500000</td>\n",
       "      <td>37.500000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Fitness Center/Health Club/Gym</th>\n",
       "      <td>62.500000</td>\n",
       "      <td>37.500000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Distribution Center</th>\n",
       "      <td>64.102564</td>\n",
       "      <td>35.897436</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Non-Refrigerated Warehouse</th>\n",
       "      <td>64.179104</td>\n",
       "      <td>35.820896</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Retail Store</th>\n",
       "      <td>65.625000</td>\n",
       "      <td>34.375000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Transportation Terminal/Station</th>\n",
       "      <td>66.666667</td>\n",
       "      <td>33.333333</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Other - Services</th>\n",
       "      <td>66.666667</td>\n",
       "      <td>33.333333</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Medical Office</th>\n",
       "      <td>70.731707</td>\n",
       "      <td>29.268293</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Performing Arts</th>\n",
       "      <td>71.428571</td>\n",
       "      <td>28.571429</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Mixed Use Property</th>\n",
       "      <td>73.275862</td>\n",
       "      <td>26.724138</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Residential Care Facility</th>\n",
       "      <td>75.000000</td>\n",
       "      <td>25.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Other</th>\n",
       "      <td>77.083333</td>\n",
       "      <td>22.916667</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Self-Storage Facility</th>\n",
       "      <td>77.142857</td>\n",
       "      <td>22.857143</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Residence Hall/Dormitory</th>\n",
       "      <td>77.777778</td>\n",
       "      <td>22.222222</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Other - Recreation</th>\n",
       "      <td>78.260870</td>\n",
       "      <td>21.739130</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Hotel</th>\n",
       "      <td>83.333333</td>\n",
       "      <td>16.666667</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Refrigerated Warehouse</th>\n",
       "      <td>84.615385</td>\n",
       "      <td>15.384615</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Multifamily HR (10+)</th>\n",
       "      <td>85.000000</td>\n",
       "      <td>15.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Supermarket/Grocery Store</th>\n",
       "      <td>85.714286</td>\n",
       "      <td>14.285714</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Multifamily LR (1-4)</th>\n",
       "      <td>85.801217</td>\n",
       "      <td>14.198783</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Office</th>\n",
       "      <td>86.550976</td>\n",
       "      <td>13.449024</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Multifamily MR (5-9)</th>\n",
       "      <td>86.575342</td>\n",
       "      <td>13.424658</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Strip Mall</th>\n",
       "      <td>87.500000</td>\n",
       "      <td>12.500000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Museum</th>\n",
       "      <td>87.500000</td>\n",
       "      <td>12.500000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Hospital (General Medical &amp; Surgical)</th>\n",
       "      <td>90.909091</td>\n",
       "      <td>9.090909</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>College/University</th>\n",
       "      <td>92.000000</td>\n",
       "      <td>8.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Laboratory</th>\n",
       "      <td>93.333333</td>\n",
       "      <td>6.666667</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>K-12 School</th>\n",
       "      <td>93.918919</td>\n",
       "      <td>6.081081</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Urgent Care/Clinic/Other Outpatient</th>\n",
       "      <td>100.000000</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Convenience Store without Gas Station</th>\n",
       "      <td>100.000000</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Convention Center</th>\n",
       "      <td>100.000000</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Stadium (Open)</th>\n",
       "      <td>100.000000</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Data Center</th>\n",
       "      <td>100.000000</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Energy/Power Station</th>\n",
       "      <td>100.000000</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Financial Office</th>\n",
       "      <td>100.000000</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Fire Station</th>\n",
       "      <td>100.000000</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Food Service</th>\n",
       "      <td>100.000000</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Courthouse</th>\n",
       "      <td>100.000000</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Pre-school/Daycare</th>\n",
       "      <td>100.000000</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Prison/Incarceration</th>\n",
       "      <td>100.000000</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Police Station</th>\n",
       "      <td>100.000000</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Indoor Arena</th>\n",
       "      <td>100.000000</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Outpatient Rehabilitation/Physical Therapy</th>\n",
       "      <td>100.000000</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Other/Specialty Hospital</th>\n",
       "      <td>100.000000</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Other - Utility</th>\n",
       "      <td>100.000000</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Other - Restaurant/Bar</th>\n",
       "      <td>100.000000</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Library</th>\n",
       "      <td>100.000000</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Other - Public Services</th>\n",
       "      <td>100.000000</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Mailing Center/Post Office</th>\n",
       "      <td>100.000000</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Manufacturing/Industrial Plant</th>\n",
       "      <td>100.000000</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Movie Theater</th>\n",
       "      <td>100.000000</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Other - Education</th>\n",
       "      <td>100.000000</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Adult Education</th>\n",
       "      <td>100.000000</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "ComplianceStatus                             Compliant  Not Compliant\n",
       "EPAPropertyType                                                      \n",
       "Other - Lodging/Residential                  33.333333      66.666667\n",
       "Worship Facility                             45.454545      54.545455\n",
       "Enclosed Mall                                50.000000      50.000000\n",
       "Bank Branch                                  50.000000      50.000000\n",
       "Wholesale Club/Supercenter                   50.000000      50.000000\n",
       "Other - Entertainment/Public Assembly        53.846154      46.153846\n",
       "Social/Meeting Hall                          55.555556      44.444444\n",
       "Multifamily Housing                          60.000000      40.000000\n",
       "Other - Mall                                 60.000000      40.000000\n",
       "Parking                                      60.000000      40.000000\n",
       "Restaurant                                   62.500000      37.500000\n",
       "Fitness Center/Health Club/Gym               62.500000      37.500000\n",
       "Distribution Center                          64.102564      35.897436\n",
       "Non-Refrigerated Warehouse                   64.179104      35.820896\n",
       "Retail Store                                 65.625000      34.375000\n",
       "Transportation Terminal/Station              66.666667      33.333333\n",
       "Other - Services                             66.666667      33.333333\n",
       "Medical Office                               70.731707      29.268293\n",
       "Performing Arts                              71.428571      28.571429\n",
       "Mixed Use Property                           73.275862      26.724138\n",
       "Residential Care Facility                    75.000000      25.000000\n",
       "Other                                        77.083333      22.916667\n",
       "Self-Storage Facility                        77.142857      22.857143\n",
       "Residence Hall/Dormitory                     77.777778      22.222222\n",
       "Other - Recreation                           78.260870      21.739130\n",
       "Hotel                                        83.333333      16.666667\n",
       "Refrigerated Warehouse                       84.615385      15.384615\n",
       "Multifamily HR (10+)                         85.000000      15.000000\n",
       "Supermarket/Grocery Store                    85.714286      14.285714\n",
       "Multifamily LR (1-4)                         85.801217      14.198783\n",
       "Office                                       86.550976      13.449024\n",
       "Multifamily MR (5-9)                         86.575342      13.424658\n",
       "Strip Mall                                   87.500000      12.500000\n",
       "Museum                                       87.500000      12.500000\n",
       "Hospital (General Medical & Surgical)        90.909091       9.090909\n",
       "College/University                           92.000000       8.000000\n",
       "Laboratory                                   93.333333       6.666667\n",
       "K-12 School                                  93.918919       6.081081\n",
       "Urgent Care/Clinic/Other Outpatient         100.000000       0.000000\n",
       "Convenience Store without Gas Station       100.000000       0.000000\n",
       "Convention Center                           100.000000       0.000000\n",
       "Stadium (Open)                              100.000000       0.000000\n",
       "Data Center                                 100.000000       0.000000\n",
       "Energy/Power Station                        100.000000       0.000000\n",
       "Financial Office                            100.000000       0.000000\n",
       "Fire Station                                100.000000       0.000000\n",
       "Food Service                                100.000000       0.000000\n",
       "Courthouse                                  100.000000       0.000000\n",
       "Pre-school/Daycare                          100.000000       0.000000\n",
       "Prison/Incarceration                        100.000000       0.000000\n",
       "Police Station                              100.000000       0.000000\n",
       "Indoor Arena                                100.000000       0.000000\n",
       "Outpatient Rehabilitation/Physical Therapy  100.000000       0.000000\n",
       "Other/Specialty Hospital                    100.000000       0.000000\n",
       "Other - Utility                             100.000000       0.000000\n",
       "Other - Restaurant/Bar                      100.000000       0.000000\n",
       "Library                                     100.000000       0.000000\n",
       "Other - Public Services                     100.000000       0.000000\n",
       "Mailing Center/Post Office                  100.000000       0.000000\n",
       "Manufacturing/Industrial Plant              100.000000       0.000000\n",
       "Movie Theater                               100.000000       0.000000\n",
       "Other - Education                           100.000000       0.000000\n",
       "Adult Education                             100.000000       0.000000"
      ]
     },
     "execution_count": 15,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "compliance_status_percentage = compliance_status_grouped.apply(lambda x: (x / x.sum()) * 100, axis=1)\n",
    "\n",
    "compliance_status_percentage_sorted = compliance_status_percentage.sort_values(by='Not Compliant', ascending=False)\n",
    "compliance_status_percentage_sorted"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "ComplianceIssue\n",
       "No Issue                                                         2802\n",
       "Missing EUI, Incomplete Natural Gas Data                          420\n",
       "Portfolio Manager Not Connected to the City of Seattle            245\n",
       "Account Requires Verification                                      64\n",
       "Missing EUI or Utility Data                                        57\n",
       "Default Data                                                       35\n",
       "Missing EUI or Utility Data and Account Requires Verification      22\n",
       "Unknown - Contact the Help Desk                                     3\n",
       "Name: count, dtype: int64"
      ]
     },
     "execution_count": 17,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Calculate the frequency of each category in 'ComplianceIssue' column\n",
    "compliance_issue_freq = data['ComplianceIssue'].value_counts()\n",
    "\n",
    "# Display the frequency distribution\n",
    "compliance_issue_freq\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "{'Outliers in SiteEnergyUse(kBtu)': 30, 'Inconsistencies in GFA Reporting': 0}\n"
     ]
    },
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>OSEBuildingID</th>\n",
       "      <th>BuildingName</th>\n",
       "      <th>SiteEnergyUse(kBtu)</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>3</td>\n",
       "      <td>WESTIN HOTEL (Parent Building)</td>\n",
       "      <td>60652388.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>32</th>\n",
       "      <td>43</td>\n",
       "      <td>BOEING PLANT 2 ISAL  (BLDG 2-122)-North Boeing...</td>\n",
       "      <td>579555072.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>46</th>\n",
       "      <td>63</td>\n",
       "      <td>SHERATON GRAND SEATTLE - (Parent Building)</td>\n",
       "      <td>74165064.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>64</th>\n",
       "      <td>103</td>\n",
       "      <td>CLIMATE PLEDGE ARENA</td>\n",
       "      <td>112021592.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>94</th>\n",
       "      <td>147</td>\n",
       "      <td>SWEDISH MEDICAL CENTER BALLARD - CAMPUS</td>\n",
       "      <td>63329264.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>100</th>\n",
       "      <td>171</td>\n",
       "      <td>SEATTLE CENTRAL COMMUNITY COLLEGE MASTER CAMPU...</td>\n",
       "      <td>60510536.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>116</th>\n",
       "      <td>198</td>\n",
       "      <td>SEATTLE CHILDREN'S HOSPITAL  (MAIN CAMPUS)</td>\n",
       "      <td>239049424.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>144</th>\n",
       "      <td>245</td>\n",
       "      <td>CENTURYLINK FIELD-STADIUM</td>\n",
       "      <td>70757456.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>158</th>\n",
       "      <td>268</td>\n",
       "      <td>SWEDISH MEDICAL CENTER CHERRY HILL - CAMPUS</td>\n",
       "      <td>138930720.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>161</th>\n",
       "      <td>276</td>\n",
       "      <td>HARBORVIEW MEDICAL CENTER - Campus</td>\n",
       "      <td>247194720.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>208</th>\n",
       "      <td>338</td>\n",
       "      <td>SEATTLE CHILDREN'S HOSPITAL  (JACK R MCDONALD ...</td>\n",
       "      <td>59682008.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>296</th>\n",
       "      <td>435</td>\n",
       "      <td>SEATTLE CONVENTION CENTER</td>\n",
       "      <td>69657584.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>329</th>\n",
       "      <td>477</td>\n",
       "      <td>FHCRC - Weintraub/Hutchinson/Thomas Bldgs comb...</td>\n",
       "      <td>148322704.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>456</th>\n",
       "      <td>640</td>\n",
       "      <td>STARBUCKS (SODO) CENTER - Campus</td>\n",
       "      <td>68078480.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>466</th>\n",
       "      <td>657</td>\n",
       "      <td>2200 WESTLAKE</td>\n",
       "      <td>60771948.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>474</th>\n",
       "      <td>675</td>\n",
       "      <td>HARBORVIEW MEDICAL CENTER - Ninth &amp; Jefferson ...</td>\n",
       "      <td>63578576.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>597</th>\n",
       "      <td>828</td>\n",
       "      <td>SWEDISH MEDICAL CENTER FIRST HILL - Campus</td>\n",
       "      <td>244916560.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1456</th>\n",
       "      <td>22062</td>\n",
       "      <td>SEATTLE UNIVERSITY (MAIN CAMPUS)</td>\n",
       "      <td>122919920.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1631</th>\n",
       "      <td>23071</td>\n",
       "      <td>UW NORTHWEST HOSPITAL &amp; MEDICAL CENTER - CAMPUS</td>\n",
       "      <td>99064968.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1649</th>\n",
       "      <td>23113</td>\n",
       "      <td>KAISER PERMANENTE CAPITOL HILL - Campus</td>\n",
       "      <td>105958848.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2753</th>\n",
       "      <td>27100</td>\n",
       "      <td>FOUR SEASONS HOTEL &amp; 99 UNION STREET PRIVATE R...</td>\n",
       "      <td>59803276.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2979</th>\n",
       "      <td>27996</td>\n",
       "      <td>THE KENNEY</td>\n",
       "      <td>84370376.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3121</th>\n",
       "      <td>49770</td>\n",
       "      <td>University of Washington Medical Center (UWMC)</td>\n",
       "      <td>315228352.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3129</th>\n",
       "      <td>49783</td>\n",
       "      <td>UW Medicine Phase 3</td>\n",
       "      <td>70708416.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3187</th>\n",
       "      <td>49940</td>\n",
       "      <td>VIRGINIA MASON - Central Pavilion</td>\n",
       "      <td>65346348.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3197</th>\n",
       "      <td>49973</td>\n",
       "      <td>UW - FOEGE BUILDING (genome sciences)</td>\n",
       "      <td>107842344.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3199</th>\n",
       "      <td>49976</td>\n",
       "      <td>UW - HEALTH SCIENCES RR-WING</td>\n",
       "      <td>76191080.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3423</th>\n",
       "      <td>50376</td>\n",
       "      <td>KOMO PLAZA EAST &amp; WEST BUILDINGS</td>\n",
       "      <td>135951104.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3512</th>\n",
       "      <td>50523</td>\n",
       "      <td>HYATT REGENCY SEATTLE</td>\n",
       "      <td>87629152.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3644</th>\n",
       "      <td>50879</td>\n",
       "      <td>BUILDING CURE</td>\n",
       "      <td>67062412.0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "      OSEBuildingID                                       BuildingName  \\\n",
       "2                 3                     WESTIN HOTEL (Parent Building)   \n",
       "32               43  BOEING PLANT 2 ISAL  (BLDG 2-122)-North Boeing...   \n",
       "46               63         SHERATON GRAND SEATTLE - (Parent Building)   \n",
       "64              103                               CLIMATE PLEDGE ARENA   \n",
       "94              147            SWEDISH MEDICAL CENTER BALLARD - CAMPUS   \n",
       "100             171  SEATTLE CENTRAL COMMUNITY COLLEGE MASTER CAMPU...   \n",
       "116             198         SEATTLE CHILDREN'S HOSPITAL  (MAIN CAMPUS)   \n",
       "144             245                          CENTURYLINK FIELD-STADIUM   \n",
       "158             268        SWEDISH MEDICAL CENTER CHERRY HILL - CAMPUS   \n",
       "161             276                 HARBORVIEW MEDICAL CENTER - Campus   \n",
       "208             338  SEATTLE CHILDREN'S HOSPITAL  (JACK R MCDONALD ...   \n",
       "296             435                          SEATTLE CONVENTION CENTER   \n",
       "329             477  FHCRC - Weintraub/Hutchinson/Thomas Bldgs comb...   \n",
       "456             640                   STARBUCKS (SODO) CENTER - Campus   \n",
       "466             657                                      2200 WESTLAKE   \n",
       "474             675  HARBORVIEW MEDICAL CENTER - Ninth & Jefferson ...   \n",
       "597             828         SWEDISH MEDICAL CENTER FIRST HILL - Campus   \n",
       "1456          22062                   SEATTLE UNIVERSITY (MAIN CAMPUS)   \n",
       "1631          23071    UW NORTHWEST HOSPITAL & MEDICAL CENTER - CAMPUS   \n",
       "1649          23113            KAISER PERMANENTE CAPITOL HILL - Campus   \n",
       "2753          27100  FOUR SEASONS HOTEL & 99 UNION STREET PRIVATE R...   \n",
       "2979          27996                                         THE KENNEY   \n",
       "3121          49770     University of Washington Medical Center (UWMC)   \n",
       "3129          49783                                UW Medicine Phase 3   \n",
       "3187          49940                  VIRGINIA MASON - Central Pavilion   \n",
       "3197          49973              UW - FOEGE BUILDING (genome sciences)   \n",
       "3199          49976                       UW - HEALTH SCIENCES RR-WING   \n",
       "3423          50376                   KOMO PLAZA EAST & WEST BUILDINGS   \n",
       "3512          50523                              HYATT REGENCY SEATTLE   \n",
       "3644          50879                                      BUILDING CURE   \n",
       "\n",
       "      SiteEnergyUse(kBtu)  \n",
       "2              60652388.0  \n",
       "32            579555072.0  \n",
       "46             74165064.0  \n",
       "64            112021592.0  \n",
       "94             63329264.0  \n",
       "100            60510536.0  \n",
       "116           239049424.0  \n",
       "144            70757456.0  \n",
       "158           138930720.0  \n",
       "161           247194720.0  \n",
       "208            59682008.0  \n",
       "296            69657584.0  \n",
       "329           148322704.0  \n",
       "456            68078480.0  \n",
       "466            60771948.0  \n",
       "474            63578576.0  \n",
       "597           244916560.0  \n",
       "1456          122919920.0  \n",
       "1631           99064968.0  \n",
       "1649          105958848.0  \n",
       "2753           59803276.0  \n",
       "2979           84370376.0  \n",
       "3121          315228352.0  \n",
       "3129           70708416.0  \n",
       "3187           65346348.0  \n",
       "3197          107842344.0  \n",
       "3199           76191080.0  \n",
       "3423          135951104.0  \n",
       "3512           87629152.0  \n",
       "3644           67062412.0  "
      ]
     },
     "execution_count": 19,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Anomaly Detection for 'SiteEnergyUse(kBtu)' using Z-score to identify outliers\n",
    "from scipy.stats import zscore\n",
    "\n",
    "# Compute Z-scores for 'SiteEnergyUse(kBtu)'\n",
    "data['SiteEnergyUse_zscore'] = zscore(data['SiteEnergyUse(kBtu)'].dropna())\n",
    "\n",
    "# Identify outliers as those with a Z-score greater than 3 or less than -3 (typical threshold for outliers)\n",
    "outliers_energy_use = data.loc[data['SiteEnergyUse_zscore'].abs() > 3]\n",
    "\n",
    "# Consistency Check for Gross Floor Area\n",
    "# Checking if the sum of 'PropertyGFABuilding(s)' and 'PropertyGFAParking' equals 'PropertyGFATotal'\n",
    "data['GFA_Check'] = (data['PropertyGFABuilding(s)'] + data['PropertyGFAParking']) == data['PropertyGFATotal']\n",
    "\n",
    "# Summary of findings\n",
    "outliers_summary = {\n",
    "    'Outliers in SiteEnergyUse(kBtu)': outliers_energy_use.shape[0],\n",
    "    'Inconsistencies in GFA Reporting': (~data['GFA_Check']).sum()\n",
    "}\n",
    "\n",
    "print(outliers_summary)\n",
    "\n",
    "# Display the rows corresponding to the 30 outliers identified in 'SiteEnergyUse(kBtu)'\n",
    "outliers_energy_use[['OSEBuildingID', 'BuildingName', 'SiteEnergyUse(kBtu)']]\n",
    "\n",
    "#SWEDISH MEDICAL CENTER CHERRY HILL - CAMPUS (OSEBuildingID: 268) is listed as \"Not Compliant.\""
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [],
   "source": [
    "file_path = \"2021_Building_Energy_Benchmarking_20240322.csv\"\n",
    "file_path2 = \"2022_Building_Energy_Benchmarking_20240322.csv\"\n",
    "data_2021 = pd.read_csv(file_path)\n",
    "data_2022 = pd.read_csv(file_path2)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>2021 Missing Rate (%)</th>\n",
       "      <th>2022 Missing Rate (%)</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>ENERGYSTARScore</th>\n",
       "      <td>0.0</td>\n",
       "      <td>38.541667</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>SiteEUIWN(kBtu/sf)</th>\n",
       "      <td>0.0</td>\n",
       "      <td>21.683114</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>SiteEUI(kBtu/sf)</th>\n",
       "      <td>0.0</td>\n",
       "      <td>20.449561</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>SiteEnergyUse(kBtu)</th>\n",
       "      <td>0.0</td>\n",
       "      <td>20.449561</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>SiteEnergyUseWN(kBtu)</th>\n",
       "      <td>0.0</td>\n",
       "      <td>21.683114</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>SourceEUIWN(kBtu/sf)</th>\n",
       "      <td>0.0</td>\n",
       "      <td>21.683114</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>SourceEUI(kBtu/sf)</th>\n",
       "      <td>0.0</td>\n",
       "      <td>20.449561</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>TotalGHGEmissions</th>\n",
       "      <td>0.0</td>\n",
       "      <td>8.278509</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>GHGEmissionsIntensity</th>\n",
       "      <td>0.0</td>\n",
       "      <td>8.333333</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                       2021 Missing Rate (%)  2022 Missing Rate (%)\n",
       "ENERGYSTARScore                          0.0              38.541667\n",
       "SiteEUIWN(kBtu/sf)                       0.0              21.683114\n",
       "SiteEUI(kBtu/sf)                         0.0              20.449561\n",
       "SiteEnergyUse(kBtu)                      0.0              20.449561\n",
       "SiteEnergyUseWN(kBtu)                    0.0              21.683114\n",
       "SourceEUIWN(kBtu/sf)                     0.0              21.683114\n",
       "SourceEUI(kBtu/sf)                       0.0              20.449561\n",
       "TotalGHGEmissions                        0.0               8.278509\n",
       "GHGEmissionsIntensity                    0.0               8.333333"
      ]
     },
     "execution_count": 9,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "## Compare the missing rates between 2021 and 2022 datasets, and identify that the data collecion lagging exists, though the 2021 data is finalized by now,\n",
    "## the 2022 data is still in progress and have many missing values.\n",
    "\n",
    "# Define the columns for which we want to find the missing value rate\n",
    "columns_of_interest = [\n",
    "    'ENERGYSTARScore', 'SiteEUIWN(kBtu/sf)', 'SiteEUI(kBtu/sf)', 'SiteEnergyUse(kBtu)',\n",
    "    'SiteEnergyUseWN(kBtu)', 'SourceEUIWN(kBtu/sf)', 'SourceEUI(kBtu/sf)',\n",
    "    'TotalGHGEmissions', 'GHGEmissionsIntensity'\n",
    "]\n",
    "\n",
    "# Calculate the missing value rate for each column in both 2021 and 2022 datasets\n",
    "missing_rate_2021 = data_2021[columns_of_interest].isnull().mean() * 100\n",
    "missing_rate_2022 = data_2022[columns_of_interest].isnull().mean() * 100\n",
    "\n",
    "# Create a DataFrame to compare the missing value rates side by side\n",
    "missing_rate_comparison = pd.DataFrame({\n",
    "    '2021 Missing Rate (%)': missing_rate_2021,\n",
    "    '2022 Missing Rate (%)': missing_rate_2022\n",
    "})\n",
    "\n",
    "missing_rate_comparison"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [
    {
     "data": {
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yRVSnbGG5u9y9qdYBAACQP1B4AwAAAADunisx0v5FUsRvUuRyKemy2YkAIN8wLI6qkzpNJxNczI6SKVcnB9UvV1itKvurRaVi8imQO3MCAAAgd6PwBgAAAADkrEsn00ZxR8yTDq+VUpPMTgQA+dKVwpVV8fhrZsfIFicHi2qX9VOrMH+1DPNXUS83syMBAADATlB4AwAAAADu3LnI/0ru45sl8U9NADDb3wGPq+2BdmbHuGUWi1SjtK9ahfmrVWV/Bfhx328AAABkjcIbAAAAAHB7ov+SIn5PK7pP7zE7DQDgOp8XG6F3j4SaHeOOVSrupdaV08rvkGIFzY4DAACAXIbCGwAAAACQPamp0rE/00Zx750nxRwxOxEA4AZaOE7TgXh3s2PkqOAiHmoZ5q/WlYurSilvs+MAAAAgF6DwBgAAAABkLTlRilqVNpJ73x9S/BmzEwEAsiHRJ1ihJ0ebHeOuKunjnlZ+V/FXzdK+cnCwmB0JAAAAJqDwBgAAAADYSoiTDi5JG8l9YLGUcNHsRACAW3QwoJOaH+hkdox7pkhBV7WoVEytwvxVN7iQnBwdzI4EAACAe4TCGwAAAAAgXT6fNoI74nfp0Eop+arZiQAAd+CbEq9p2KHKZscwhbe7s5pVLKrWlYurYWhhuTo5mh0JAAAAdxGFNwAAAADkVylJ0v5F0s7v0kZypySanQgAkEM6uXyurRcLmh3DdF5uTmpbtbg6Vi+l+4N8ZbEw7TkAAEBeQ+ENAAAAAPnN8a1pJffun6Qr581OAwDIYckFS6rcmbFmx8h1Avzc9ch9JdWxekmVLeJpdhwAAADkEApvAAAAAMgPYo9Lf30v7Zwtnd1vdhoAwF10rFRbNTjYw+wYuVq1AB89Wr2k2lcrIT8PF7PjAAAA4A5QeAMAAABAXpUQJ0X8ljaa+/BayUg1OxEA4B74pdSL+t/BGmbHsAvOjhY1Ci2ijtVLqXmlotzvGwAAwA5ReAMAAABAXpKaKkWtTBvJHTFPSoo3OxEA4B57ymOylp3zMzuG3Sno5qS2VYqrY/WSeqCMH/f7BgAAsBMU3gAAAACQF5zeK+38VvprjnTpH7PTAABMkupeSMExk2QYlLV3opTvv/f7rlFSwdzvGwAAIFej8AYAAAAAexV/Vtr1Y9qU5dE7zE4DAMgFTpVortqH+pgdI0+pVspbHf+933chT1ez4wAAAOA6FN4AAAAAYE+SE6R9C9KmLD+4VEpNMjsRACAXWVxqsPoffNDsGHmSk8O/9/uuUVLNKxaTmzP3+wYAAMgNKLwBAAAAwB4c2yTt+Fb6+2fpaozZaQAAudQQ7w8191RRs2PkeQXdnNSmcnF1vT9ANQN9zY4DAACQr1F4AwAAAEBudeGI9Nf3aaO5z0eanQYAkMsZLh4KjZuipFTu330vVSzupcdrl1bH6iXl6epkdhwAAIB8h8IbAAAAAHKT5ERpzy/S1pnSkXWS+CcbACB7LvjXU/XDA82OkW95uDjq4ftK6okHSyushLfZcQAAAPINCm8AAAAAyA1iT0hbvpS2zZTiz5idBgBgh9YGDNATBxqZHQOS7gvwUY/apdW+Wgnu9Q0AAHCXUXgDAAAAgJmiVkubpkj7FkipyWanAQDYsRF+YzTjn1Jmx8A1vN2d9WiNkupRO1DlinqaHQcAACBPovAGAAAAgHstIU7a+Z20eap0Zq/ZaQAAeYDh6KKqCVN1KZl7SOdWtcv4qceDgWoV5i8XJwez4wAAAOQZFN4AAAAAcK+c2Z82mnvnbCnxktlpAAB5yKWitVTl6BCzYyAbCnu6qHPNAPWoXVoBfgXMjgMAAGD3KLwBAAAA4G5KTZH2/ZFWdEetNjsNACCP2hrQW50OPGR2DNwCi0VqEFJET9QurWYVi8nRwWJ2JAAAALvEHEcAAAAAcDfEn5W2zpC2TJcuHjc7DQAgj1uZEGJ2BNwiw5BW7z+j1fvPqLi3m7rdH6DHHiitYl5uZkcDAACwK4zwBgAAAICcdGyztPkL6e9fpJQEs9MAAPIBw+KgusaXir7qYnYU3CEnB4uaViiqHg8GqmFIYVksjPoGAAC4GQpvAAAAALhTSVel3T9Km76QoneYnQYAkM9cKRSmiieGmR0DOSywUAE9WTdIXe8PUAEXJuoEAADICoU3AAAAANyuC0ekzVOl7V9LV86bnQYAkE/tCXhMbQ60NzsG7hKfAs7qUbu0wusGqWhBpjsHAAC4HoU3AAAAANwKw5AOLkubtvzAYslINTsRACCfm+I/XO8cLm92DNxlLo4O6nBfCfVrWFahxQqaHQcAACDXoPAGAAAAgOy4EiPt+EbaPE06H2l2GgAArFo4TtOBeHezY+AeahRaRP0alFX9kMJmRwEAADAdhTcAAAAA3EjMUWndJGnHt1JSvNlpAACwkehTVqEn3zI7BkxSsbiX+jUoo/bVSsjZ0cHsOAAAAKag8AYAAACAzJzeK639QNr9o5SabHYaAAAyFVnqUTU72NnsGDCZv5ebetcL0uO1S8vLzdnsOAAAAPcUhTcAAAAAXOv4VmntBGnvfEn8cwkAkLt9W+JVvXaoitkxkEt4ujqpa60A9akfpFK+BcyOAwAAcE9QeAMAAACAJB1aKa2ZIEWtMjsJAADZ1sX1M22O9TI7BnIZRweLWlf2V/+GZVW1lI/ZcQAAAO4qCm8AAAAA+ZdhpI3kXjtBOrHV7DQAANySFM8SCj47zuwYyOUeKOOn/g3KqlnForJYLGbHAQAAyHFOZgcAAAAAgHsuJVnaNUda96F0Zq/ZaQAAuC3RPtWls2anQG63Keq8NkWdV3ARDz1Vv6werVFSbs6OZscCAADIMYzwBgAAAJB/JF2Vts+S1k+SYo6anQYAgDvya8mhej6yptkxYGcKe7roiQcD1btukHwKuJgdBwAA4I5ReAMAAADI+65elDZPlf78VIo/bXYaAAByRD/PyVpy1s/sGLBTnq5OCq8bqL71y8rXg+IbAADYLwpvAAAAAHlX/Fnpz0+kTVOlhFiz0wAAkGNS3f0UHPORDIN7MuPOeLo6qVedQPVrQPENAADsE4U3AAAAgLwn5ljatOXbZknJV8xOAwBAjjtdopkeOPSU2TGQh3i4OKpnnSD1b1hWfhTfAADAjlB4AwAAAMg7zuyX1n4g7ZojpSaZnQYAgLtmacBz6nugjtkxkAd5uDjqiTqB6t+grAp5upodBwAA4KYovAEAAADYvxPbpLUTpL3zJSPV7DQAANx1L3pP0I+n/M2OgTysgIujej4YqP4NKb4BAEDuRuENAAAAwH5FrZbWTJAOrTA7CQAA94zh7KEK8Z8rIdXB7CjIB9ydHfXEg6U1oFGwClN8AwCAXIjCGwAAAID9ObhUWvmedHyz2UkAALjnLvjXU/XDA82OgXzG3dlRPWqnFd9FClJ8AwCA3IPCGwAAAID9OLJBWj5aOrLO7CQAAJhmXcAA9TjQyOwYyKfcnB3Uo3agBjQqq6IF3cyOAwAAQOENAAAAwA78syOt6D641OwkAACYblSh9/XliQCzYyCfc3N20OMPBOrpRmVV1IviGwAAmIfCGwAAAEDudWaftPwtKeJ3SfzTBQAAw9FF9yVOVWySk9lRAEmSq5ODHnugtJ5pHKxiFN8AAMAEFN4AAAAAcp8Lh9Pu0f3X95KRanYaAAByjbiiNVX56FCzYwAZUHwDAACzUHgDAAAAyD0uRkurx0rbvpJSk8xOAwBArrMtIFyPHmhpdgwgS65ODgqvG6SBTcrJ293Z7DgAACAfoPAGAAAAYL7L56W1E6RNU6XkK2anAQAg1/qg6FuaeLSs2TGAm/J2d9bAJsEKrxskVydHs+MAAIA8jMIbAAAAgGnik+IVsXu2ai0YLiVeMjsOAAC5mmFxUF3jS0VfdTE7CpBtJX3c9WLLUD1yX0lZLBaz4wAAgDyIwhsAAADAPZeUkqQf9v+gKX9NUWJKghYcPyWfy+fNjgUAQK52pVAlVTzxutkxgNsSVsJLr7auqPohhc2OAgAA8hgKbwAAAAD3jGEYmh81X5O3T9aJuBPW5b18quil7fNNTAYAQO63J+AxtTnQ3uwYwB1pEFJYr7auqEolvMyOAgAA8ggKbwAAAAD3xJrjazRx20Ttu7Avw2Oujq6ad/aK/GOOm5AMAAD78IX/m3r7cAWzYwB3zMEiPXJfSQ1tWV4lfdzNjgMAAOwchTcAAACAu2r32d2asHWCNp/cfMP1HvWtopHbGOUNAEBWHnKcpv3xlIPIO1ycHNS7bpAGNiknb3dns+MAAAA7ReENAAAA4K44GX9SH2z9QAuiFsjQzf/Z4Whx1M+XHFTmTOQ9SAcAgH1J8i6rkFNvmR0DuCu83Z01sEmwwusGydXJ0ew4AADAzlB4AwAAAMhRl5Mua9ruafrq7690NeXqLW3bwreSJmxbeJeSAQBgvw6V6qimB7uYHQO4q0r6uGvoQ6HqWL2kLBaL2XEAAICdoPAGAAAAkCNSjVT9evBXfbT9I525cua29zM70VthJ3blYDIAAOzfdyVe1auHqpgdA7gnwkp46dXWFVU/pLDZUQAAgB2g8AYAAABwxzaf3Kyxm8cq4nzEHe+rtneopu5YmgOpAADIO7q6fapNMd5mxwDuqQYhhfV/rSsorASvfQAAkDUKbwAAAAC37cjFIxq/ZbxWHFuRo/udIn/VidqUo/sEAMBepXgWV/DZ8WbHAEzhYJEeua+khrYsr5I+7mbHAQAAuZCT2QEAAAAA2J/YhFh9tvMzzd43W8mpyTm+/4le7qqT43sFAMA+RftUl86anQIwR6ohzd1+QvN2RatPvTJ6rmk5ebjy39oAAOA/DmYHAAAAAGA/klOT9U3EN2r3czt9HfH1XSm7Jenvi1FaHNrwruwbAAB7s00VzI4AmC4xOVWfrYpU0/Er9fP242bHAQAAuQhTmgMAAADIllXHVmnclnE6fPHwPTlekEdJ/fL3JjkaKffkeAAA5Fb9PSdr8Vk/s2MAuUqtQF+NeDhMlUtyf28AAPI7Cm8AAAAANxQZE6n3N72vDdEb7vmxR7qH6tE9S+/5cQEAyC1S3XwVHDtZhmExOwqQ6zhYpG73l9ZLLcvLz8PF7DgAAMAkFN4AAAAAMhWfFK9Pd3yqbyK+UbJxd6Yuvxl/9yKat/9vuSZfNeX4AACY7XSJZnrg0FNmxwByNW93Z73QPEQ96wTJ0YEPhwAAkN9wD28AAAAAGfxx6A89/PPDmrlnpmlltySdvHJGsys1Nu34AACYbZdjJbMjALle7JUkjfh9j9pOWqMNkefMjgMAAO4xRngDAAAAsIqMidQ7G9/RppObzI5i5ePirQVHjsjz6kWzowAAcM+95DNBc076mx0DsCttqxTXsLYVVcLH3ewoAADgHqDwBgAAAKDLSZf16c5P9XXE10pONW9Ed1b6e1fRczvmmx0DAIB7ynD2UIX4z5WQyiSNwK1yd3bUc83KqV+DsnJ25D0EAEBeRuENAAAA5HMLohZo3JZxOn35tNlRsuTu5K4F0edVKO6M2VEAALhnYvzr6r7Dg8yOAdi14CIeGtWhsuqVK2x2FAAAcJfw0TYAAAAgnzoUc0h9F/XVy6tfztVltyRdSb6iz0MeMDsGAAD31B7nymZHAOxe5Jl49Zi6UQO/3aaTsVfNjgMAAO4CRngDAAAA+Uxun748K84OzvrtQpJKnT9qdhQAAO6J0YXe17QTAWbHAPIMDxdHPd88RH3qlZET05wDAJBnUHgDAAAA+cjCqIUau2Vsrh/RnZV2vpX17rY/zI4BAMBdZzg4676kaYpNcjI7CpDnhBbz1KgOlfVg2UJmRwEAADmAj7EByFX27t2rBx98UG5ubrrvvvuytU3v3r31yCOPWH9u3Lix/ve//92VfIBZgoKC9OGHH5p2fDPfVzNmzJCPj48px758+bI6deokLy8vWSwWxcTEmJLjVl3/+yIgSVGxUeq7uK9eWv2S3ZbdkvRHzB7tL1bB7BhAvrH6SLLaf3dZJcZfkmXkRf2yN8n6WFKKoVeWXFWVT+Pk8c5FlRh/Sb1+vqJ/LqVa10lINtTz5yvyeveiQj+K09JDtrNKjF2XoOf+uHLPzgewJ/GFqlB2A3fJ/lNx6j7lT/1v9nadvsQ05wAA2DsKbwA31Lt3b1ksFlksFrm4uKhcuXIaNWqUkpPvbPrTrMqY4cOHy8PDQ/v27dOyZctua99z587V6NGj7yhfUFCQLBaLZs+eneGxsLAwWSwWzZgx446OkdvNmDFDFotFrVq1slkeExMji8WilStXZntft1K+nTx5Us8995zKli0rV1dXBQQEqH379rf9ejDTvSypc6rgXLly5T0vdlesWKE2bdqoUKFCKlCggCpVqqShQ4fqxIkTkqRu3bpp//791vVHjBiR7Q/E3KmZM2dqzZo1Wr9+vaKjo+Xt7Z1hnZSUFL333nuqUKGC3N3d5efnp9q1a2vq1Kk5miWz5/jw4cOyWCzasWNHjh4LeUtSSpI+3fmpOv/WWRujN5od546lGqn6qGSg2TGAfCM+0VC1Yg76uI1bhscuJ0nbTqbojYau2tbfQ3O7uWvfuRQ9/N1l6zpTtiZp6z8p2vCUh/rXdNbjP11R+kRzURdS9cW2JL3dLOO+AUgH3KqYHQHI837Z8Y+ajVulrzYcFhOhAgBgvyi8AdxUq1atFB0drQMHDmjo0KEaMWKExo4de1v7SklJUWpqapaPR0ZGqn79+goMDFShQrc3rZSfn58KFix4W9teKyAgQNOnT7dZ9ueff+rkyZPy8PC44/3nFomJiVk+5uTkpKVLl2rFihX3JMvhw4dVs2ZNLV++XGPHjtWuXbu0cOFCNWnSRAMHDrwnGXBvff7552revLn8/f31008/ac+ePfrss88UGxur8ePHS5Lc3d1VtGhRU/JFRkaqYsWKqly5svz9/WWxWDKsM3LkSH3wwQcaPXq09uzZoxUrVqh///52MxoceduO0zvU5fcu+mTHJ0pMzfr3e3uz8kKEdgRUNzsGkC+0DnHWW03d1LGic4bHvN0sWtLTQ13DnFW+sKMeLOWkya3dtTU6VUdj0/7OH3E2RQ+Xd1JYUUcNvN9FZy4bOns5rVB4Zv4Vvd/cVV6uGf98BSCtSggxOwKQL1xKSNabv/6tLp9t0MHTcWbHAQAAt4HCG8BNubq6yt/fX4GBgXrmmWfUvHlz/fbbb5KkCxcuqFevXvL19VWBAgXUunVrHThwwLpt+lTEv/32mypVqiRXV1f16dNHM2fO1K+//modPZ4+qnTr1q0aNWqULBaLRowYIUnatWuXmjZtKnd3dxUqVEj9+/dXXFzW/wC5furlm2XMSo8ePbRq1SodO3bMuuzLL79Ujx495ORkO63chAkTVKVKFXl4eCggIEDPPvusTcb067Bo0SJVrFhRnp6e1g8SpNu8ebNatGihwoULy9vbW40aNdK2bdtsjrN3717Vr19fbm5uqlSpkpYuXSqLxaJffvnFus6xY8fUtWtX+fj4yM/PTx06dNDhw4etj6ePEn377bdVokQJlS9fPstr4OHhoT59+uj//u//bnitbvQcjRgxItPnOzPPPvusLBaLNm3apE6dOik0NFRhYWEaMmSI/vzzT+t6R48eVYcOHeTp6SkvLy917dpVp06dsj6ePgJ41qxZCgoKkre3t7p3765Lly5Z12ncuLEGDx6sl19+WX5+fvL397e+5tLFxMSob9++KlKkiLy8vNS0aVPt3LnTZp3ff/9d999/v9zc3FS4cGF17NjRuv8jR47ohRdesJ53urVr16pBgwZyd3dXQECABg8erPj4eOvjp0+fVvv27eXu7q4yZcrom2++ueH1v9E1vpX3z+HDh9WkSRNJkq+vrywWi3r37m19PDU19Y6v17WOHz+uwYMHa/Dgwfryyy/VuHFjBQUFqWHDhpo6darefPNNSbZTms+YMUMjR47Uzp07rec6Y8YM9enTR+3atbPZf1JSkooWLapp06ZlmeGnn35SWFiYXF1dFRQUZC3ZpbTncPz48Vq9erUsFosaN26c6T5+++03Pfvss+rSpYvKlCmjatWq6amnntKLL75oc+3effddlSlTRu7u7qpWrZp+/PFH6+MpKSl66qmnrI+XL19eEydOtD6e1XNcpkwZSVL16tVvmPFmx0feE5cYp7f+fEu9FvRSZGyk2XHuig8K+ZodAUAmYhMMWST5uKX93adaMUetPZqiK0mGFkUmq7inRYULWPTNX0lyc7JkWqQDkAyLg+acLml2DCBf2XLkgtpMWqPJyw8oOSXrwRoAACD3ofAGcMvc3d2to4J79+6tLVu26LffftOGDRtkGIbatGmjpKT/7u13+fJlvf/++5o6dar+/vtvTZo0SV27drUWvtHR0apbt66io6MVFhamoUOHKjo6Wi+++KLi4+PVsmVL+fr6avPmzZozZ46WLl2qQYMGZTtvdjJmplixYmrZsqVmzpxpPY/vv/9effr0ybCug4ODJk2apL///lszZ87U8uXL9fLLL9usc/nyZY0bN06zZs3S6tWrdfToUZtC7NKlSwoPD9fatWv1559/KiQkRG3atLGWtCkpKXrkkUdUoEABbdy4UVOmTNGwYcNsjpGUlKSWLVuqYMGCWrNmjdatW2ct168dyb1s2TLt27dPS5Ys0bx58254HUaMGKFdu3ZlWY7d7Dl68cUXM32+r3f+/HktXLhQAwcOzHQEfXrhmZqaqg4dOuj8+fNatWqVlixZokOHDqlbt24260dGRuqXX37RvHnzNG/ePK1atUrvvfeezTozZ86Uh4eHNm7cqDFjxmjUqFFasmSJ9fEuXbro9OnTWrBggbZu3aoaNWqoWbNmOn/+vCRp/vz56tixo9q0aaPt27dr2bJleuCBBySlTa1fqlQpjRo1ynre6blatWqlTp066a+//tL333+vtWvX2ryme/furWPHjmnFihX68ccf9cknn+j06azvt5vVNb7V909AQIB++uknSdK+ffsUHR1tU7re6fW63pw5c5SYmJjhvZIus/t2d+vWTUOHDlVYWJj1XLt166a+fftq4cKFNh8imTdvni5fvpzhtZFu69at6tq1q7p3765du3ZpxIgReuONN6y3K5g7d6769eunOnXqKDo6WnPnzs10P/7+/lq+fLnOnDmT6eOS9O677+qrr77SZ599pr///lsvvPCCnnjiCa1atUpS2uu6VKlSmjNnjvbs2aM333xTr732mn744QdJWT/HmzZtkiQtXbr0hhlvdnzkLcuPLleHXzvo+33fy1DenZZxW+xBrQ6uY3YMANe4mmzolaVX9VgVJ+uo7T7VnVWtmIMqfRKnt9ck6Icu7rpwVXpz5VV91NpNry+/qnKTLqnl1/E6cZFyAUiX4FteJ666mh0DyHcSk1M1bvF+tZ+8TrtPxJodBwAAZJPTzVcBgDSGYWjZsmVatGiRnnvuOR04cEC//fab1q1bZy0wv/nmGwUEBOiXX35Rly5dJKWVsJ988omqVatm3Ze7u7sSEhLk7+9vXebv7y8nJyd5enpal3/xxRe6evWqvvrqK2sJOnnyZLVv317vv/++ihUrdsPM2c2YlT59+mjo0KEaNmyYfvzxRwUHB2d67+BrR5QHBQXprbfe0tNPP61PPvnEujwpKUmfffaZgoODJUmDBg3SqFGjrI83bdrUZp9TpkyRj4+PVq1apXbt2mnJkiWKjIzUypUrrdfn7bffVosWLazbfP/990pNTdXUqVOtI4qnT58uHx8frVy5Ug899JCktJHbU6dOlYuLyw3PX5JKlCih559/XsOGDcv0HtHffvvtTZ+jzJ7v6x08eFCGYahChQo3zLNs2TLt2rVLUVFRCggIkCR99dVXCgsL0+bNm3X//fdLSisQZ8yYYZ3evmfPnlq2bJnefvtt676qVq2q4cOHS5JCQkI0efJkLVu2TC1atNDatWu1adMmnT59Wq6uaf/RNG7cOP3yyy/68ccf1b9/f7399tvq3r27Ro4cad1n+uvcz89Pjo6OKliwoM15v/vuu+rRo4f1NRMSEqJJkyapUaNG+vTTT3X06FEtWLBAmzZtsp7LtGnTVLFixSyviaenZ6bXeObMmbf0/nF0dJSfn58kqWjRohkK5zu9Xtc7cOCAvLy8VLx48SzP7Xru7u7y9PSUk5OTzbnWrVtX5cuX16xZs6wF+vTp09WlSxd5enpmuq8JEyaoWbNmeuONNyRJoaGh2rNnj8aOHavevXvLz89PBQoUkIuLyw1fuxMmTFDnzp3l7++vsLAw1a1bVx06dFDr1q0lSQkJCXrnnXe0dOlS1amTVs6VLVtWa9eu1eeff65GjRrJ2dnZ5nVUpkwZbdiwQT/88IO6du2a5XNcpEgRSVKhQoWyzJid4yNvOHP5jN7d9K6WHFly85XziEkeTmogiyx5uNgH7EVSiqGuc67IMKRP27pblzs7WvTxNT9L0pO/XtHgB1y0/WSKftmbrJ1Pe2rMugQNXnhVP3UtcK+jA7lSlEe1m68E4K6JiL6oDh+vU98GZfRC81C5OTuaHQkAANwAI7wB3NS8efPk6ekpNzc3tW7dWt26ddOIESMUEREhJycn1a5d27puoUKFVL58eUVERFiXubi4qGrVqrd17IiICFWrVs1mxG+9evWUmpqqffv2ZWv77GTMStu2bRUXF6fVq1fryy+/zHR0t5Q2urJZs2YqWbKkChYsqJ49e+rcuXO6fPmydZ0CBQpYy25JKl68uM2o3VOnTqlfv34KCQmRt7e3vLy8FBcXp6NHj0pKG3EbEBBgU2qljyZOt3PnTh08eFAFCxaUp6enPD095efnp6tXryoy8r8pbatUqZKtsjvdK6+8ojNnzujLL7/M8NidPkfpDCN7ZUVERIQCAgKsZbckVapUST4+PjbPaVBQkM293K+/3pIyvC6vXWfnzp2Ki4tToUKFrNfS09NTUVFR1mu5Y8cONWvWLNvnmL7fGTNm2OyzZcuWSk1NVVRUlPU1W7NmTes2FSpUyHS0883k1HOT7k6v1/UMw8j0nti3q2/fvpo+fbqktPfTggULsnzPSmnXp169ejbL6tWrpwMHDiglJSXbx61UqZJ2796tP//8U3369LFOSd+3b19JaR/muHz5slq0aGFzbb766iuba/Pxxx+rZs2aKlKkiDw9PTVlyhTr+/9OZPf4sF+GYWjO/jnq8GuHfFV2S9K+S0f0RwU+tAGYLSnFUNcfr+hIbKqW9Cxww3tyr4hK1t+nUzToARetPJyiNiFO8nCxqGuYs1Yezv6fv0Betz4p1OwIQL6Xkmro81WH1HriGm08dM7sOAAA4AYY4Q3gppo0aaJPP/1ULi4uKlGiRIb7V9+Mu7t7jpZa95KTk5N69uyp4cOHa+PGjfr5558zrHP48GG1a9dOzzzzjN5++235+flp7dq1euqpp5SYmKgCBdJGqTg7296f0GKx2JS84eHhOnfunCZOnKjAwEC5urqqTp06NlOR30xcXJxq1qyZ6T2f00eCSsp0yvAb8fHx0auvvqqRI0dmuE9yTgkJCZHFYtHevXtzZH+ZXe/U1NRsrxMXF6fixYtner/x9PLZ3d09w2M3ExcXpwEDBmjw4MEZHitdurT2799/y/u8V+70el0vNDRUsbGxio6OvqVR3lnp1auX/u///k8bNmzQ+vXrVaZMGTVo0OCO95sdDg4Ouv/++3X//ffrf//7n77++mv17NlTw4YNs94zff78+SpZ0vY+jOmj4WfPnq0XX3xR48ePV506dVSwYEGNHTtWGzduvONs2Tk+7FdUbJRGbhiprae2mh3FNB87XtZDDs5yTr3xrUoA3B3pZfeBc6laEV5AhQpk/bn6q8mGBv5xVd886i5HB4tSUqX0vw4npaYVCwDSzDlb2uwIAP4VdTZe3b/4U48/UFr/17qCCro533wjAABwTzHCG8BNeXh4qFy5cipdurRN2V2xYkUlJyfbFDLnzp3Tvn37VKlSpRvu08XFJVsjKCtWrKidO3cqPj7eumzdunVycHBQ+fLls7X97WZM16dPH61atUodOnSQr69vhse3bt2q1NRUjR8/Xg8++KBCQ0P1zz//ZGvf11q3bp0GDx6sNm3aKCwsTK6urjp79qz18fLly+vYsWM6deqUddnmzZtt9lGjRg0dOHBARYsWVbly5Wy+vL29bznTtZ577jk5ODjY3NNZyt5zlJ3n28/PTy1bttTHH39ss690MTEx1uMdO3ZMx44dsz62Z88excTEZPs5zY4aNWro5MmTcnJyynAtCxcuLCltxPOyZcuy3Edm512jRg3t2bMnwz7LlSsnFxcXVahQQcnJydq69b/yat++fdbzv5Vj3c77J33k/62McE4/r5tdr+t17txZLi4uGjNmTKaPZ3XOWb2eChUqpEceeUTTp0/XjBkz9OSTT94wc8WKFbVu3TqbZevWrVNoaKgcHe9surr012J8fLwqVaokV1dXHT16NMO1SZ+pIP22C88++6yqV6+ucuXKZRh9ndl5Z+f5ys7xYX+SUpP02c7P1Pm3zvm67JakY5dP6qdKTcyOAeRZcYmGdpxM0Y6TaX/WRF1I1Y6TKToam6qkFEOd51zRln9S9M2j7koxpJNxqToZl6rElIzl9ehVCWoT4qTqxdP+nK1X2lFz9ybpr1MpmrwpUfVK85l8QJKSvMtobxzT+wO5iWFI32w8qoc+WK3le0/dfAMAAHBPUXgDuG0hISHq0KGD+vXrp7Vr12rnzp164oknVLJkSXXo0OGG2wYFBemvv/7Svn37dPbsWSUlZT4qq0ePHnJzc1N4eLh2796tFStW6LnnnlPPnj1vev/uO82YrmLFijp79qx1quTrlStXTklJSfroo4906NAhzZo1S5999lm29n191lmzZikiIkIbN25Ujx49bEYQt2jRQsHBwQoPD9dff/2ldevW6fXXX5ck6wj6Hj16qHDhwurQoYPWrFmjqKgorVy5UoMHD9bx48dvOdO13NzcNHLkSE2aNMlmeXaeo+w+3x9//LFSUlL0wAMP6KefftKBAwcUERGhSZMmWe893Lx5c1WpUkU9evTQtm3btGnTJvXq1UuNGjVSrVq17ugcr9W8eXPVqVNHjzzyiBYvXqzDhw9r/fr1GjZsmLZs2SJJGj58uL777jsNHz5cERER2rVrl95//33rPoKCgrR69WqdOHHC+uGFV155RevXr9egQYO0Y8cOHThwQL/++qsGDRokKe2DDa1atdKAAQO0ceNGbd26VX379r3paPLMrvHtvH8CAwNlsVg0b948nTlzxjo6OCeu1/UCAgL0wQcfaOLEiXrqqae0atUqHTlyROvWrdOAAQM0evToLM81KipKO3bs0NmzZ5WQkGB9rG/fvpo5c6YiIiIUHh5+w8xDhw7VsmXLNHr0aO3fv18zZ87U5MmT9eKLL2brnNN17txZH3zwgTZu3KgjR45o5cqVGjhwoEJDQ1WhQgUVLFhQL774ol544QXNnDlTkZGR2rZtmz766CPNnDlTUtr7f8uWLVq0aJH279+vN954I8MHWjJ7josWLSp3d3ctXLhQp06dUmxsbIZ82Tk+7MuO0zvU9feu+njHx0pMzf4sIHnZ58mndcWFYgC4G7b8k6Lqn8er+udpH6AbsjhB1T+P15srEnTikqHf9iXr+EVD930er+Lj46xf64/Zfhhr9+kU/bAnWSMb/ze7SOdKTmob4qQG0+P116kUTWzldk/PDcitjhfk/t1AbhUde1V9ZmzR4O+263w8fxcHACC3oPAGcEemT5+umjVrql27dqpTp44Mw9Aff/yRYerj6/Xr10/ly5dXrVq1VKRIkQyjLNMVKFBAixYt0vnz53X//ferc+fOatasmSZPnnzXM16rUKFCWRaO1apV04QJE/T++++rcuXK+uabb/Tuu+9me9/ppk2bpgsXLqhGjRrq2bOnBg8erKJFi1ofd3R01C+//KK4uDjdf//96tu3r4YNGyYprYyW0q7X6tWrVbp0aT366KOqWLGinnrqKV29elVeXl63nOl64eHhKlu2rM2y7DxH2X2+y5Ytq23btqlJkyYaOnSoKleurBYtWmjZsmX69NNPJaWV+7/++qt8fX3VsGFDNW/eXGXLltX3339/x+d3LYvFoj/++EMNGzbUk08+qdDQUHXv3l1HjhyxlsWNGzfWnDlz9Ntvv+m+++5T06ZNtWnTJus+Ro0apcOHDys4ONg6pXzVqlW1atUq7d+/Xw0aNFD16tX15ptvqkSJEtbtpk+frhIlSqhRo0Z69NFH1b9/f5vXQmYyu8a38/4pWbKkRo4cqf/7v/9TsWLFrEV8TlyvzDz77LNavHixTpw4oY4dO6pChQrq27evvLy8siyeO3XqpFatWqlJkyYqUqSIvvvuO+tjzZs3V/HixdWyZUuba5qZGjVq6IcfftDs2bNVuXJlvfnmmxo1apR69+6drXNO17JlS/3+++9q3769QkNDFR4ergoVKmjx4sXWWTFGjx6tN954Q++++64qVqyoVq1aaf78+SpTpowkacCAAXr00UfVrVs31a5dW+fOndOzzz5rc5zMnmMnJydNmjRJn3/+uUqUKJHlB3ludnzYhyvJV/TuxncVvjBcB2MOmh0nVzmbcF7fVGxsdgwgT2oc5CRjuFeGrxmPuCvIxyHTx4zhXmocZDtau3JRRx14zlMeLv/d6sjBYtEnbd0V+39e2tTPU+X8+C8KQJI2plY0OwKAm/ht5z9qPmGVft1xwuwoAABAksW49gayAAC7sm7dOtWvX18HDx5UcHCw2XEA08XFxalkyZKaPn26Hn30UbPjADlm++nten3t6zp66ajZUXKtgs6eWnDsH3lfiTE7CgAAd6S726f6M+bObkkF4N5pVqGo3upYWcW9bzwzGwAAuHsovAHAjvz888/y9PRUSEiIDh48qOeff16+vr5au3at2dEAU6Wmpurs2bMaP368Zs+ercjISOvoasCeJaQkaNK2Sfo64mulGqlmx8n1nvSpoiHb55sdAwCA25bi4a/gcxPMjgHgFhV0ddLLrSvoidqlrbedAwAA9w7/EwwAduTSpUt65ZVXdPToURUuXFjNmzfX+PHjzY4FmO7o0aMqU6aMSpUqpRkzZlB2I0/YdWaXhq0bpqjYKLOj2I3vLu3XE97FVTQ22uwoAADclpM+1aVzZqcAcKsuJSTrjV926/ed/+j9TlVVprCH2ZEAAMhXGOENAAAA5CJJKUn6eMfHmvH3DKUYKWbHsTudfato+DZGeQMA7NPvJYfouchaZscAcAdcnRz0v+ah6t+wrBwdGO0NAMC9QOENAAAA5BJ7zu3RsLXDdDDmoNlR7JaTxUm/XJQCzx4yOwoAALfs6YIfaeGZQmbHAJADqpT01gfdqqlc0YJmRwEAIM9zMDsAAAAAkN8lpaaN6u4xvwdl9x1KNpL1UenyZscAAOCWpbr5aNFZP7NjAMghu07Eqt1HazVz/WGzowAAkOcxwhsAAAAw0f4L+/X62tcVcT7C7Ch5hkUWzU7wVKV//jY7CgAA2XamRFPdf6iv2TEA3AWNQotobJeqKlrQzewoAADkSYzwBgAAAEyQkpqiKX9NUfd53Sm7c5ghQxOLlTA7BgAAt2SXYyWzIwC4S1btP6NWH67Rwt0nzY4CAECeROENAAAA3GOHYg7piT+e0EfbP1JSapLZcfKk9TH7tDnofrNjAACQbQsvlTU7AoC76Hx8op7+eqte/nGn4hOSzY4DAECeQuENAAAA3COGYeirv79S13ldtfvcbrPj5HkfenuaHQEAgGwxnAvo9zNFzI4B4B74YctxtZm0RluPXDA7CgAAeQaFNwAAAHAPnLl8Rk8vfVpjt4xVQkqC2XHyhb8uRmpZSH2zYwAAcFOxharpSoqj2TEA3CNHzl1W1883aMLifUpOSTU7DgAAdo/CGwAAALjLVhxdoU6/ddL6f9abHSXf+cgtVakW/tkDAMjdIpyrmB0BwD2Wkmpo0vKD6vTZBkWdjTc7DgAAdo3/+QEAAADukqvJVzV6w2gNXjFYFxKYstAMkXHH9VuFJmbHAADghpZdCTY7AgCT7DwWo7aT1ujbjUfNjgIAgN2yGIZhmB0CAAAAyGv2nt+rV1a/okOxh8yOku+VcC+q3/ftkgtTyQMAciHDwVk1kqbpQpKT2VEAmKx5xWJ6v1MVFfJ0NTsKAAB2hRHeAAAAQA4yDEMz/56px+c/TtmdS/xz5bS+r8QobwBA7hRfqDJlNwBJ0tKIU2r54Rot33vK7CgAANgVCm8AAAAgh5y5fEYDlgzQuC3jlJSaZHYcXGNq0j+Kdy1odgwAADI46Mb9uwH852xcgvrM2KJhP+/SlcQUs+MAAGAXKLwBAACAHLD86HJ1+q2TNkRvMDsKMnE+IUYzKzQwOwYAABmsSgg1OwKAXOibjUfV9qM1+ut4jNlRAADI9biHNwAAAHAHriRf0djNYzVn/xyzo+AmPJwKaME/Z+Qbf87sKAAASJIMWdRAX+r4Ve7XCyBzzo4WDW4aomeblJOjg8XsOAAA5EqM8AYAAABu097ze9VtXjfKbjsRn3xZU0IfNDsGAABWCX7lKbsB3FBSiqHxS/ar2+cbdOz8ZbPjAACQK1F4AwAAALfIMAzN/HumHp//uKJio8yOg1vww8V9ivYNMDsGAACSpMMe1cyOAMBObDlyQW0mrtGCXdFmRwEAINeh8AYAAABuQWxCrJ5b/pzGbRmnpNQks+PgFiWmJurjMlXMjgEAgCRpXTL37waQfZcSkvXMN9s08ve/lZSSanYcAAByDe7hDQAAAGTTzjM79dKqlxQdz6gKe+ZocdRPcc4KPr3f7CgAgHyutdNURcQVMDsGADtUvbSPPn68hkr4uJsdBQAA0zHCGwAAAMiGmX/PVO+FvSm784AUI0WTSpU1OwYAIJ9L8g6i7AZw27YfjVHbSWu0Yt9ps6MAAGA6Cm8AAADgBi4mXtTg5YM1bss4Jacmmx0HOWT5hT36qxT3TQUAmOd4wfvMjgDAzl24nKQ+MzZr7KK9SkllIlcAQP5F4Q0AAABk4e+zf6vr71214tgKs6PgLviwcGGzIwAA8rFNqRXMjgAgDzAM6eMVkeox9U+dvnTV7DgAAJiCwhsAAADIxDcR36jngp46EXfC7Ci4SzbHHtC6srXNjgEAyKd+vRBodgQAecifh86r7aS12hB5zuwoAADccxTeAAAAwDXiEuM0ZOUQvbfpPSWlJpkdB3fZRE9XGbKYHQMAkM+keBTT+gveZscAkMecuZSgJ6Zt1OTlB2QYTHEOAMg/KLwBAACAf0Wci1DXeV215MgSs6PgHom4dFiLQhuaHQMAkM+c8qludgQAeVRKqqFxi/fryRmbdSE+0ew4AADcExTeAAAAgKTv936vJ/54QscuHTM7Cu6xj10SlOzgZHYMAEA+ss1S0ewIAPK4lfvOqO2kNdp29ILZUQAAuOsovAEAAJCvxSfF6+VVL+utjW8pMZUREPnR4fh/9HPFJmbHAADkI/Njy5gdAUA+8E/sVXX7fIOmrY0yOwoAAHeVxeBmHgAAAMinDlw4oCErh+jwxcNmR4HJiroV1vyDEXJLumJ2FABAHpfq5qOQ2MlKMRiHAuDeaV3ZX2M6V1VBN2ezowAAkOP4mzUAAADypUWHF6nHHz0ouyFJOn31rL6t2NjsGACAfOCcX3XKbgD33ILdJ9Xuo7X6+59Ys6MAAJDj+Ns1AAAA8pVUI1UTtk7Qi6te1JVkRvPiP9MSjuqiu7fZMQAAedwux0pmRwCQTx05d1mPfrJe3206anYUAAByFIU3AAAA8o3YhFg9s/QZTd893ewoyIUuJl7S9PL1zY4BAMjjFseVNTsCgHwsITlVr87dpSHf79CVxBSz4wAAkCO4hzcAAADyhX3n9+n5Fc/rRNwJs6MgF3N3dNMfp2JV+NIps6MAAPIgw7mAKl3+XFdSHM2OAgAKLeapz3vWUpnCHmZHAQDgjjDCGwAAAHneH4f+UM8FPSm7cVNXUq7qs5BaZscAAORRF/2qUnYDyDX2n4pTh8lrtXr/GbOjAABwRyi8AQAAkGelpKZo7OaxemXNK9yvG9n2U2yEjhUKNDsGACAPinCpYnYEALBx8WqynpyxWdPWRpkdBQCA20bhDQAAgDzpwtULGrB0gL7a85XZUWBnklOTNTkwzOwYAIA8aPmVYLMjAEAGKamGRs/bo5d/3KnE5FSz4wAAcMu4hzcAAADynIhzEfrfiv/pn/h/zI4CO2WRRXOueKj8yT1mRwEA5BGGg7NqJE3ThSQns6MAQJZqBfrqs541VdjT1ewoAABkGyO8AQAAkKf8Hvm7ei3oRdmNO2LI0MTipcyOAQDIQy4XCqPsBpDrbTlyQQ9/tFa7T8SaHQUAgGyj8AYAAECekJyarPc2vafX1r6mqylXzY6DPGBNzF5tLV3T7BgAgDzioBv37wZgH/6Jvaoun23Q/L+izY4CAEC2UHgDAADA7p2/el79FvfTNxHfmB0FecxEP2+zIwAA8ojViaFmRwCAbLuSlKKB327ThMX7xF1RAQC5HYU3AAAA7NqBCwf0+PzHteXUFrOjIA/aHntQK8vVMzsGAMDOGbJozumSZscAgFs2aflBPf31Vl1OTDY7CgAAWaLwBgAAgN1adWyVei7oqRNxJ8yOgjxskrtFqRb+6QQAuH0JfqE6esXN7BgAcFsW/X1Kj36yXsfOXzY7CgAAmeJ/bQAAAGCXpu+ersErBis+Kd7sKMjjDsQd1fwKjc2OAQCwY0c87jM7AgDckb0nL+mRj9dp46FzZkcBACADCm8AAADYlaSUJL2+9nVN2DpBqUaq2XGQT3zscElJDs5mxwAA2Kn1Sdy/G4D9OxefqCembdS3G4+aHQUAABsU3gAAALAb56+eV9/FffVr5K9mR0E+c+LyKc2p1MTsGAAAO/XjudJmRwCAHJGUYui1n3fpzV93KzmFDyADAHIHCm8AAADYhYMXDurx+Y9r2+ltZkdBPjUl+ZQuu3iYHQMAYGeSvAL19yX+/ACQt3y14Yh6fblJMZcTzY4CAACFNwAAAHK/tSfWqueCnjoRd8LsKMjHziVc0KyKjcyOAQCwMye87jM7AgDcFesjz+nhyet04NQls6MAAPI5Cm8AAADkat/t/U6Dlg1SXFKc2VEAzbgSpZgCfmbHAADYkU1GBbMjAMBdc/T8ZXX8ZL2WRZwyOwoAIB+j8AYAAECulJKaonc3vqt3Nr6jFCPF7DiAJCkuKV5Ty9cxOwYAwI78ej7Q7AgAcFfFJSSr31db9OnKSLOjAADyKYthGIbZIQAAAIBrxSfF66VVL2nNiTVmRwEycHV01byzl+UfwxT7AIAbS/EoquBzH5odAwDumcdrl9boDpXl6GAxOwoAIB9hhDcAAABylei4aPVc0JOyG7lWQkqCPi17n9kxAAB24JRPDbMjAMA99e3Goxowa4uuJDJLFwDg3qHwBgAAQK6x59z/s3ffYVXW/x/HX4e9hwxBxY0rd2q5Mk3T1HJUlmZqadvMymz+Ulvfhg3NXOVqqJVZmqWllnsPHIlbxIHiAGWPc87vD4vCiQp8DvB8XBdXccZ9P28gw/M+n/veoV6/9tKehD2mU4DLmpO4QwdCqpjOAAA4uCgL1+8GUPIsio5Xz8/X6HRKpukUAEAJwcAbAAAADmHFkRV6aMFDOpl20nQKcEVWu1WfRlQznQEAcHDzzlQ2nQAARkQdStTd41Yp9lSq6RQAQAnAwBsAAADG/bT3Jz29+GmlZvNiCIqORQk79FfZOqYzAAAOyu7ur99OljKdAQDGHDiZou7jVmrLoUTTKQCAYo6BNwAAAIwav2W8/m/l/ynbnm06Bbgqdtn1SWhp0xkAAAd1KqiBrHZeegNQsp1MzlTPz9foz53xplMAAMUYv3UDAADACKvNqhGrR+izqM9MpwDXbE3ibq2p1MR0BgDAAW1zvsF0AgA4hNRMqx75coO+XR9rOgUAUEwx8AYAAEChS8tO0zN/PqNZu2eZTgGu2yg/T9MJAAAH9HtyJdMJAOAwsm12vfjDNn20cLfpFABAMcTAGwAAAIXqdPpp9f+tv5YeXmo6BcgX288e0MJqLU1nAAAciN3FUz/Fc9kLADjf6MV7NHTWFmVbbaZTAADFCANvAAAAFJrYs7F68NcHte3kNtMpQL761C1bVouz6QwAgIM4G1RXaVb+vwAAF/PdhsMa8OUGpWZmm04BABQTDLwBAABQKLad2KYH5z+o2CSu24bi50DKEc2peavpDACAg9jpVtd0AgA4tCW7Tuj+iWt0MjnDdAoAoBhg4A0AAIACt+zwMvX/vb9Op582nQIUmHFKVIaLh+kMAIAD+COtiukEAHB4Ww+fUfexq7T/RLLpFABAEcfAGwAAAAVq1u5ZGvTHIKVlp5lOAQrUsbQTmlmrtekMAIBhdicXzYoPN50BAEVC7OlU3TN+tTbFJphOAQAUYQy8AQAAUGDGbB6jEatHyGq3mk4BCsWkjMNK9vAznQEAMCg1qLZOZbqazgCAIuN0SqZ6fb5GC3ccN50CACiiGHgDAAAg39nsNo1YPUITtk4wnQIUqoTMM5pao6XpDACAQXs96phOAIAiJz3Lpse/3qiv1xw0nQIAKIIYeAMAACBfZdmy9OKyFzVr9yzTKYARX6Xs0ymfENMZAABDlmVUM50AAEWS1WbXaz9t1/sLdppOAQAUMQy8AQAAkG/Ss9M16I9BWhCzwHQKYExqdqomRjYxnQEAMMAui74/UdZ0BgAUaWOX7NNz30Up22oznQIAKCIYeAMAACBfJGcm67GFj2nFkRWmUwDjvj+7U0dKlTedAQAoZJmB1RSb5mE6AwCKvNmbjujJbzYpM5uhNwDgyhh4AwAA4LqdTj+th397WJviN5lOARxCli1Ln1WsbToDAFDIYnzqmU4AgGLj9x3H9ciXG5SeZTWdAgBwcAy8AQAAcF2OpRxT3/l9FX062nQK4FB+SdyhPaWrm84AABSi1dn8uQ8A+Wnp7hPqO3mdUjKyTacAABwYA28AAABcs4NnD6rP/D6KORtjOgVwODa7TaPLVDSdAQAoRD+c5HIWAJDf1h44rd6T1upMWpbpFACAg2LgDQAAgGuy8/RO9ZnfR3EpcaZTAIe1JDFaURENTGcAAApBtl95bUvyNp0BAMXS5thE9Zy4RqeSM0ynAAAcEANvAAAAXLXN8Zv18IKHdTr9tOkUwOF9ElTKdAIAoBAc9qtvOgEAirUdcWd138Q1ij+bbjoFAOBgGHgDAADgqqw8slKPLXxMSVlJplOAImHjmT1aXqWp6QwAQAHbYKtpOgEAir298cm6d8JqHU5INZ0CAHAgDLwBAACQZ7/H/K6n/3haadlpplOAImW0t4vsspjOAAAUoDmJFUwnAECJcPBUqu6bsEYxJ1NMpwAAHAQDbwAAAOTJ7D2zNXTZUGXZskynAEXOzqSDml+jlekMAEABsXmFaPnpANMZAFBiHElM070TVmv3cc48BgBg4A0AAIA8+Cb6Gw1bNUxWu9V0ClBkjXFOVZaTq+kMAEABOB7Y0HQCAJQ4J5IydP/ENdp+5IzpFACAYQy8AQAAcFnT/pqmd9e9azoDKPIOpR7T7FqtTWcAAApAlIXrdwOACadTMtXz8zXaeDDBdAoAwCAG3gAAALikydsna+SGkaYzgGJjgjVeaW5epjMAAPnslzOVTScAQImVlJ6tPpPWatW+k6ZTAACGMPAGAADARX2+9XN9vPFj0xlAsXIi/bS+qcm1vAGgOLG7+2n+yVKmMwCgREvJtOqhKev156540ykAAAMYeAMAAOAC47aM0+jNo01nAMXS5LSDOuMZYDoDAJBPTpdqIKudl9gAwLSMbJse+3KjFmyPM50CAChk/DYOAACAXD6L+kxjo8aazgCKraSsZE2u3tx0BgAgn2xzucF0AgDgb5lWm56avlk/bj5sOgUAUIgYeAMAACDH6E2jNX7LeNMZQLE3PXm34v3DTWcAAPLB78lcvxsAHInVZtfz323RjHWxplMAAIWEgTcAAAAkSR9v/Fifb/vcdAZQIqRbMzS+SkPTGQCA62R38dCc+DDTGQCA89js0suzt2nSigOmUwAAhYCBNwAAADRy/UhN3j7ZdAZQovyYGK3Y4EqmMwAA1yEpqJ5SrLy8BgCO6s15OzR+6T7TGQCAAsZv5AAAACXce+ve07Qd00xnACVOtj1bn5avYToDAHAddrrVNp0AALiCd+fv1GRWegNAscbAGwAAoAR7Z+07+jr6a9MZQIn1W8IORYfXMp0BALhGf6ZXNZ0AAMiDN+bt0NdrDprOAAAUEAbeAAAAJZDdbtdba97SjJ0zTKcAJZpddo0KK2c6AwBwDexOLpp1vIzpDABAHv3fnO36bsMh0xkAgALAwBsAAKCEsdvtemPNG/p217emUwBIWpm4U+srNjadAQC4SmmlbtCJTFfTGQCAPLLbpZd+2Ko5UUdMpwAA8hkDbwAAgBLm7bVva9buWaYzAPzHJ/4+phMAAFdpn1cd0wkAgKtks0vPfbdFv26LM50CAMhHLqYDAAAAUHhGrh/Jym7AAW09u09/RLZUmz3LTacAuBrOrpKbz7kPJxfJYpGcnCWL0yU+LJLF+e8n2yW77dxyM7vt3w+bNffndrtkzZQyU6TMpHP3wyEsy4g0nQAAuAZWm13PzNwsN2cnta1V2nQOACAfWOx2u910BAAAAAremM1jNGHrBNMZAC6hqk+Efti+Wk52m+kUoPhycT83nHb3ldy8//53n3+H1u4+ktvf911wu89/bvc9909nt8I/hqy0v4ffyVJG0rl/ZqZIGcnnBuI5//73R8Z5/zz/361ZhX8MxYBdFrW2TFJMmofpFADANXJzcdLnfRqpVbUQ0ykAgOvEwBsAAKAE+GLbFxq1aZTpDABX8JZHpLpELzadARQtTs6Sd6jkGy75lpZ8wiTf/3z887lX0LkV2cgtO11KOSElHZeS4qTkv/95/ucpJ02XOpSMwGqqHjfcdAYA4Dp5uDppcr/GalYl2HQKAOA6MPAGAAAo5r7e8bXeW/+e6QwAeVDGM1Tzdm2VqzXTdApgnpOL5FP63BDbNzz3INun9L8Dbq/gc0NvFCxrlpQSLyUd+/cj+b///s9g/MS507AXc7sj7tXte7qZzgAA5AMvN2dNe7iJGlcsZToFAHCNGHgDAAAUY9/t+k5vrnnTdAaAq/CiT0313vab6Qyg4Dk5S4EVpaBIKaiqFFRF8o/4d6jtFXTuutcoWmzZUnL8vwPwxFjp1F7p1D7p5B7pzCHThfniy/DX9PqBWqYzAAD5xMfdRV/1b6IG5QNNpwAArgEDbwAAgGJq7r65em3Fa7KLX/eAoqSUe4DmH9gvr4xk0ylA/vAN/3ug/fdQO/jvAXdABU4xXhJlpUmn958bgJ/a8/cw/O+P1NOm6/LsLreJ2nrWx3QGACAf+Xm4aPojN6t2WX/TKQCAq8TAGwAAoBhaELNALy17SVa71XQKgGvwpH9tPRH1q+kMIO/c/S4caAdVlUpVltx9TdehqEg9/Z8B+H8H4vvOXWvcQWT7RahqPJeLAYDiKNDLVTMfbarqYfz+AgBFCQNvAACAYubP2D/13NLnlG3LNp0C4Bp5u3hp/tETCkw5ZToFyK1UZSm05n9WbP/94RNqugzFmd0mnT3y72nR/xmKx++Qzh4t9JyD5e5Sq733F/p+AQCFI9jHTTMfbaqqoZzJAwCKCgbeAAAAxciqI6v09B9PK9OWaToFwHXqHVBHL27+xXQGSrKgKlJ4falMAym8nhReV/IIMF0F5JYcL8VFSUejpKObz/17AQ/Bfyg7VM/vq1+g+wAAmFXaz13fPdZUFYK8TacAAPKAgTcAAEAxsf7Yej256EmlWx3nlJ8Arp2bk5vmnc5QeMIh0ykoCS4YbteTPLh+JYqoAh6C9/X+TEtPBebb9gAAjqlsgKe+fexmlQv0Mp0CALgCBt4AAADFQFR8lB5b+JhSs1NNpwDIR10D6+jNTazyRj5juI2S6L9D8Lioc4PwaxiC27yCVfn06PyuAwA4qPKlvPTtYzcr3N/TdAoA4DIYeAMAABRxO07t0IDfBigpK8l0CoB85mxx1uxkF1WO32M6BUXVf4fbZepLYXUZbgP/uGAIHnXuWuGXcazs7bp5X7+CbwMAOIzKwd6a+djNCvX1MJ0CALgEBt4AAABF2MGzB9Vnfh+dTj9tOgVAAbktoJY+2bzAdAaKAlcvqfzNUsUWUkQThtvAtfhnCB67VopZJh3ZJNmyc+6eX+4ZPbH3JnN9AAAjIkN99O1jTVXK2810CgDgIhh4AwAAFFEnUk/owfkP6kjy5VciASj6pmcFqM7hraYz4GhcPaWIvwfcFVtIZRtKzrwIC+SrzOS/h98rpJjleibpQc05Hmy6CgBgQL2IAM145CZ5ubmYTgEAnIeBNwAAQBF0NvOs+i3opz0JnOYYKAma+FfTpKhFpjNgmouHFHGTVKnluQF3mYaSi7vpKqBESc7I1saY01qz/7TW7D+lrUfOyGrjpTUAKClaRgZrcr/GcnV2Mp0CAPgPBt4AAABFTHp2uh5b+Jg2xW8ynQKgEE1QuJodWGs6A4XJxf3cgLtiC6liS6nsjQy4AQeTlJ6ljQcTtGb/Ka3ed0rbjpwR828AKN661C+jT+6rL4vFYjoFAPA3Bt4AAABFiNVm1eA/B2vJ4SWmUwAUslq+FTVz63JZxF/hii0Xd6lck3MD7kr/DLg9TFcBuApJ6VnaEJOg1ftPac3+U9rOABwAiqV+zSpq+F03mM4AAPyNgTcAAEAR8n8r/08/7f3JdAYAQz5wraQOu5eazkB+cXaTIpr8ew3uco0ZcAPFzNn0LK0/8O8p0P86ygAcAIqLF9pX11Otq5rOAACIgTcAAECR8dHGjzRl+xTTGQAMquhdRj/u2CAXW7bpFFwr7xCp+h3nPiq1kty8TRcBKEQJKZn6c1e8FkfHa8mueKVkWk0nAQCuw7vd6+j+JuVNZwBAicfAGwAAoAiY9tc0jdww0nQGAAcwzKua7vlrkekMXI3QmlL1jueG3GVvlCxOposAOICMbKvW7j+tRdHHtWjHcR09k246CQBwlZydLBr7QEO1vyHMdAoAlGgMvAEAABzcz/t+1qsrXpWd6/YCkBTqEaxf9+yQezaDEYfl5CxVaPHvSu7AiqaLABQBO46e0cLoeC3acVzbjpwxnQMAyCN3Fyd9+XAT3VQ5yHQKAJRYDLwBAAAc2LLDy/TMH88o287piwH86znfWnpo6wLTGfgvD3+pattzK7mrtpU8A0wXASjCjp1J1x87j2vhjnit2ndSGdk200kAgMvw9XDRd481Vc1wP9MpAFAiMfAGAABwUFHxUXp04aNKy04znQLAwfi7+Wn+wUPyTWcFoFEBFaQaHaVqd0gVmkrObqaLABRDKRnZWrH3pBbtOK7FO+N1OiXTdBIA4CJCfd01+8lmKhfoZToFAEocBt4AAAAOaG/CXvVd0FdnM8+aTgHgoB7xr6NBUb+Yzih5yjX693rcobVM1wAoYaw2uzbHJmhxdLwWRh/X3vhk00kAgP+oGuqjHx5vJn8vV9MpAFCiMPAGAABwMHHJceo9v7fiU+NNpwBwYJ4unvr1WKKCk46bTinenF2lKrdJNTpJ1dpLPqVNFwFAjgMnU7Q4+rh+33Fc6w6cNp0DAJDUuGKgvup/kzxcnU2nAECJwcAbAADAgSRlJunBXx/UvjP7TKcAKALuC6yj1zaxyrtAVGgm1b1PqtVF8gw0XQMAV3QkMU0/Rx3V7M2Htfs4K78BwKQ7aofps14N5eRkMZ0CACUCA28AAAAHkWXL0hMLn9DaY2tNpwAoIlycXDQ30aqIUwdNpxQPIdWluvdLde4+d31uACiiouPO6qfNRzQn6qiOnU03nQMAJVK/ZhU1/K4bTGcAQInAwBsAAMBBvLbiNc3ZN8d0BoAiplNgbb276VfTGUWXb5hU516pTg8pvK7pGgDIV1abXWsPnNJPm49q/rY4JWVkm04CgBLl5Ttq6LFWVUxnAECxx8AbAADAAYzbMk5jo8aazgBQBDlZnPRdqqeqH4s2nVJ0uPtKNe+S6vaQKraUnLi+IoDiLz3LqsXR8ZoTdUR/7opXlpWXBAGgoFks0if31VeX+mVNpwBAscbAGwAAwLCf9/2sV1a8YjoDDmDX87uUdSrrgttLtSmlMn3KKG5GnBJXJMriblHYPWEKaBaQ85gz684ocWWiKjzLaZhLolsCauqzzb+ZznBsTi5SZLtzK7mrd5BcvUwXAYAxCSmZ+nVbnH6KOqL1MQmmcwCgWHNzdtLUhxqrWdVg0ykAUGwx8AYAADBo/bH1emzhY8qyXTjkRMmTfTZbdtu/v55nHMlQzAcxqvhiRdnSbTo65agqPFtBGcczdGTSEVX/qLpcfF1kTbVq34h9qji0otyC3AweAUyaZg1Ww9hNpjMcT8RN51Zy39BN8goyXQMADudwQqrmRB3V7E1HtO9EsukcACiWfD1c9N1jTVUz3M90CgAUSwy8AQAADNl/Zr8e/PVBnc08azoFDirumzglbUlS5HuROjn/pNJj0hXxZIQkKXpQtCoMriCvyl46MvWI3MPdFdyeFQMlWQO/Kvpyy5+mMxxDUFWp7n3nrs1dqpLpGgAoMrYfOaMfNx/R3C1HdSIpw3QOABQrYX4emv1kM5UJ8DSdAgDFjovpAAAAgJLoVNopPbnoSYbduCRbtk2JqxMV1D5IFotFHhEeSliSIGuKVZknMmXPtMu9tLtSdqco/WC6yvQpYzoZhm0+u09LqzRTq32rTKeY4eEv1btfqtdTKtPAdA0AFEm1y/qrdll/vdKxplbtO6lZGw9r/rZjyrTaTKcBQJF37Gy6BkzboFlPNJWXG6MZAMhPrPAGAAAoZOnZ6Xr4t4e17eQ20ylwYGfWndGh8YdU/cPqcg10lSQd//G4zqw+I4ubRaW7lZZPPR/tG75P5QaUU+reVJ1adEouPi4q81AZeZT1MHwEMCHSp7xmbV8lJ3sJGkyE1ZWaPCLVvlty8zZdAwDFzqnkDH2/4bC+XntQhxPSTOcAQJHX/obSGt/7RlksFtMpAFBsMPAGAAAoRDa7Tc8teU6LYxebToGDixkZI4uzRRWerXDJx8T/FC9rqlWBLQMV80GMqr5VVUlbknRq0SlVHVG1EGvhSN5xr6I7dxbzU5s7u0m1u0uNB0jlGpuuAYASwWqza+nuE/pq9UEt2R0vXlEEgGs3sHVVDWlf3XQGABQbnDcDAACgEI3cMJJhN64o82Smkv9KVvmny1/yMRlHM5S4OlFVRlRR4vJEeVX3koufi/yb+OvIpCOyplnl7OlciNVwFJ85J6uDk6tcbVmmU/JfQAWpcX+p/gOSN9esB4DC5OxkUZsaoWpTI1Sxp1I1fd1Bfbv+kBJSi+H/bwCggI35c68iS/uoS/2yplMAoFhwMh0AAABQUkyPnq6vdnxlOgNFQMLyBLn4uci3nu9F77fb7Toy7YjC7g+Ts4ez7Da77NZzy6zs2X8vtypBZ7RGbkdSj2tWrTamM/KPxSJVay898L00aLPU/BmG3QBgWPkgL710R02tefk2fdijnhpEBJhOAoAiZ+isrdocm2A6AwCKBQbeAAAAhWDpoaV6f/37pjNQBNhtdiWuSFRA8wBZnC9+TbeEpQly8XWRXwM/SZJXpJdSolOUujdVJ38/Kfcy7nL2ZnV3STYx+7hSi/r1rL1KSS2elQZtkXp9J0XeLjnxcw0AjsTd1Vl3NyynH59qrp8HttB9jSPk4crLjQCQFxnZNj361UYdTUwznQIARR7X8AYAAChgO0/vVJ/5fZSWzV9icWVJ25N0cORBRb4bKfcw9wvuzz6TrX1v7FPl1yrLNdA15/b4OfE69fspufi5qOwjZeVV2asws+GAnvarrUe3/Go64+pFNDl3be5aXSQXD9M1AICrdCYtSz9sPKyv1xzU/pMppnMAwOHdUMZPsx5vJk833twJANeKgTcAAEABOpV2Sj1/6am4lDjTKQBKGF9XH80/HCf/1CJwmkRXL6luD6lRfym8rukaAEA+Wbn3pL5cfVALdxyTjVcgAeCSOtwQpnG9G8piufhZvgAAl8fAGwAAoIBkWbPU//f+2hy/2XQKgBKqX0AdPb/5F9MZlxYceW41d737JY8A0zUAgAISdyZNM9bFasa6QzqRlGE6BwAc0tNtqur526ubzgCAIomBNwAAQAEZtmqYZu+ZbToDQAnm7uyuX06kqPSZo6ZTcotsJzV9WqrcynQJAKAQZWbb9PtfxzRh2X5tO3LGdA4AOJxR99dXl/plTWcAQJHDwBsAAKAAfBP9jd5d967pDADQ3YF1NHyTA6zytjhJN3STWgyWwjhtOQCUdMv3nNDYJfu0et8p0ykA4DDcXZz07WNNVT8iwHQKABQpDLwBAADy2eqjq/XEoidktVtNpwCAnC3O+jHJSZVO7DMU4CbV7yU1f0YqVdlMAwDAYW2OTdC4Jfv0+47jplMAwCGE+Lpr7sDmCvf3NJ0CAEWGk+kAAEDRt2TJElksFiUmJppOyRcXO56ffvpJVatWlbOzswYPHqypU6cqICCgwFtuvfVWDR48uMD3g/wTezZWLyx7gWE3AIdhtVv1aUS1wt+xm7fU7Glp8FbpzlEMuwEAF9WgfKAm9mmk35+9Rd0blpWzk8V0EgAYdSIpQwOmbVBaJq8rAEBeMfAGUOysXr1azs7O6tSpk+mUa5LX4fE/j/vnIyQkRB07dtS2bdsKJ/Q/mjVrpri4OPn7+xfaPuvUqaPHH3/8ovd99dVXcnd318mTJ69p2xc7nscee0z33HOPDh06pDfffFP33Xefdu/efU3bv5hLfd9nz56tN998M9/2g4KVnJmsQX8M0pkMrkcIwLEsStihv8rULpydeZWSWr8iPfuXdPtbkm944ewXAFCkVSvtq4961NfSF25Vn6YV5O7Cy5YASq6/jp7Vc99FiRP0AkDe8JsjgGJn0qRJevrpp7Vs2TIdPXrUdE6B27Vrl+Li4vTbb78pIyNDnTp1UmZmZqE2uLm5KSwsTBbLxd+Jb7VaZbPZ8nWf/fv318yZM5WWlnbBfVOmTNFdd92l4ODgq95uVlbWBceTnJys+Ph4tW/fXmXKlJGvr688PT0VGhp63cdxJaVKlZKvr2+B7wfXz2a36aXlL2nfGUOnDAaAy7DLrlGlC3jw7FdW6vA/afB2qdWLkmdgwe4PAFAslQv00htdamvFi2305K1V5OvuYjoJAIyYv/2YPl6Yf4stAKA4Y+ANoFhJTk7Wt99+qyeeeEKdOnXS1KlTL3jMzz//rMaNG8vDw0PBwcHq1q1bzn0ZGRl68cUXFRERIXd3d1WtWlWTJk3KuX/p0qVq0qSJ3N3dFR4erpdeeknZ2dk591esWFGffPJJrv3Vr19fw4cPz/ncYrHoiy++ULdu3eTl5aXIyEjNnTtXkhQTE6PWrVtLkgIDA2WxWNSvX7/LHnNoaKjCwsLUsGFDDR48WIcOHdLOnTtz7l+xYoVatmwpT09PRUREaNCgQUpJScm5Pz4+Xnfeeac8PT1VqVIlffPNN7mOIyYmRhaLRVFRUTnPSUxMlMVi0ZIlSyRduDr5n9N9z507V7Vq1ZK7u7tiY2OVkZGhIUOGqGzZsvL29tZNN92Usw1JOnjwoO68804FBgbK29tbN9xwg3799deLHnfv3r2VlpamH374IdftBw4c0JIlS9S/f39J0pw5c9SwYUN5eHiocuXKGjFiRK7vmcVi0bhx43TXXXfJ29tbb7/9dq7jWbJkSc7AuU2bNjnHfbFTml/uZ+urr75So0aN5Ovrq7CwMPXq1Uvx8fE5X+NLfd/PP6V5QkKC+vTpo8DAQHl5eemOO+7Qnj17cu7/p+u3335TzZo15ePjow4dOiguLu6iX0fkn1GbRmnp4aWmMwDgklYn7tLaSo3zf8NBVaUuY6RnoqSbnzx3KnMAAK5TiK+7hnaooZUvt9GLHaor2MfNdBIAFLrRf+zVnKgjpjMAwOEx8AZQrHz33XeqUaOGqlevrt69e2vy5Mm5Tv3zyy+/qFu3burYsaM2b96sxYsXq0mTJjn39+nTRzNmzNDo0aMVHR2tCRMmyMfHR5J05MgRdezYUY0bN9aWLVs0btw4TZo0SW+99dZVd44YMUI9evTQ1q1b1bFjRz3wwAM6ffq0IiIicga4/6zcHjVqVJ62eebMGc2cOVPSuRXXkrRv3z516NBBd999t7Zu3apvv/1WK1as0MCBA3Oe169fPx06dEh//vmnZs2apbFjx+YMYq9Hamqq3nvvPX3xxRf666+/FBoaqoEDB2r16tWaOXOmtm7dqnvvvVcdOnTIGdg+9dRTysjI0LJly7Rt2za99957OV//8wUHB6tLly6aPHlyrtunTp2qcuXK6fbbb9fy5cvVp08fPfPMM9qxY4cmTJigqVOn6u233871nOHDh6tbt27atm2bHn744Vz3NWvWTLt27ZIk/fDDD4qLi1OzZs0u6LnSz1ZWVpbefPNNbdmyRT/99JNiYmJyhtpX833v16+fNmzYoLlz52r16tWy2+3q2LGjsrKycn3tR44cqa+++krLli1TbGyshgwZctHtIX/8sv8XTd4++coPBADDRvnl4zA6vL7U40vpqXVSgwclZwYRAID85+fhqiduraoVL7bRm11qq1ygp+kkAChUQ2dtVdShRNMZAODQOCcQgGJl0qRJ6t27tySpQ4cOOnPmjJYuXapbb71VkvT222/r/vvv14gRI3KeU69ePUnS7t279d1332nhwoVq27atJKly5co5jxs7dqwiIiI0ZswYWSwW1ahRQ0ePHtWLL76o119/XU5OeX8PUb9+/dSzZ09J0jvvvKPRo0dr3bp16tChg0qVKiXp3Mrt81cQX0y5cuUkKWfV9l133aUaNWpIkv73v//pgQceyFkhHBkZqdGjR6tVq1YaN26cYmNjNX/+fK1bt06NGzfO+RrWrFkzz8dyKVlZWRo7dmzO1zc2NlZTpkxRbGysypQpI0kaMmSIFixYoClTpuidd95RbGys7r77btWpU0dS7q//xfTv31933HGHDhw4oEqVKslut2vatGnq27evnJycNGLECL300kvq27dvzvbefPNNDR06VMOGDcvZTq9evfTQQw/lfL5///6cf3dzc8s5dXmpUqUUFhZ20ZbL/WxJyjVIr1y5skaPHq3GjRsrOTlZPj4+efq+79mzR3PnztXKlStzhu7ffPONIiIi9NNPP+nee++VdO5rP378eFWpUkWSNHDgQL3xxhuX/Vri2v118i8NWzXsyg8EAAew7ex+LYpsqbZ7ll/7Riq2lFo+J1Vpk39hAABcgYersx5sWkH3N4nQvK1xGrdkr3YfTzadBQAFLiPbpke/3KA5A5sr3J83/QDAxbDCG0CxsWvXLq1bty5nkOzi4qL77rsv1ynJo6KidNttt130+VFRUXJ2dlarVq0uen90dLSaNm2a6zrVzZs3V3Jysg4fPnxVrXXr1s35d29vb/n5+V3zqurly5dr48aNmjp1qqpVq6bx48fn3LdlyxZNnTpVPj4+OR/t27eXzWbTgQMHFB0dLRcXF9144405z6lRo0aeBu1X4ubmlus4t23bJqvVqmrVquXqWbp0qfbtO3fN40GDBumtt95S8+bNNWzYMG3duvWy+2jXrp3KlSunKVOmSJIWL16s2NjYnOH1li1b9MYbb+Ta3yOPPKK4uDilpqbmbKdRo0bXfbyX+9mSpI0bN+rOO+9U+fLl5evrm/NzFhsbm+d9/PP9uummm3JuCwoKUvXq1RUdHZ1zm5eXV86wW5LCw8PzZdU+LnQi9YQG/TlIGdYM0ykAkGefelhltThf/ROrd5QGLJL6zWPYDQAwxtXZSd0alNWCZ27R530aqWH5ANNJAFDg4pMy9MiXG5SWaTWdAgAOiRXeAIqNSZMmKTs7O2f1sCTZ7Xa5u7trzJgx8vf3l6fnpd8Febn78srJySnXKdQl5TrV9D9cXV1zfW6xWGSz2a5pn5UqVVJAQICqV6+u+Ph43XfffVq2bJmkc9c0f+yxxzRo0KALnle+fHnt3r37itv/Z+X6f4/rYsd0Pk9Pz1xvDkhOTpazs7M2btwoZ+fcL7L/c9ryAQMGqH379vrll1/0+++/63//+58+/PBDPf3005ds69evn6ZNm6bhw4drypQpat26dc7K8OTkZI0YMULdu3e/4LkeHh45/+7tff2nd73cz09KSorat2+v9u3b65tvvlFISIhiY2PVvn17ZWZmXve+z3exn6/zfy5x/TKtmRr852DFp/JmAgBFy/7kw5pbs7W67ViUtyfUvEtq/bIUWqtgwwAAuApOTha1q1Va7WqV1up9p/TBb7u0KTbBdBYAFJjtR85qyKwt+qxXQ9MpAOBwWOENoFjIzs7Wl19+qQ8//FBRUVE5H1u2bFGZMmU0Y8YMSedWVi9evPii26hTp45sNpuWLl160ftr1qyZc83kf6xcuVK+vr45pxUPCQlRXFxczv1nz57VgQMHrupY/rn+ttV69e/YfOqpp7R9+3b9+OOPkqSGDRtqx44dqlq16gUfbm5uqlGjhrKzs7Vx48acbezatUuJiYk5n4eEhEhSruOKioq66rYGDRrIarUqPj7+gpb/niY8IiJCjz/+uGbPnq3nn39en3/++WW3+9BDD+nQoUOaPXu2fvzxR/Xv3z/nvoYNG2rXrl0XPf6rOQV9XlzuZ2vnzp06deqU3n33XbVs2VI1atS4YMV1Xr7vNWvWVHZ2ttauXZtz26lTp7Rr1y7VqsUQorC9sfoNbT15+bMQAICjGqsEZTq7X/5BFVtKAxZL933FsBsA4NCaVgnS7Ceb6fM+Nyoy1Md0DgAUmF+2xmnSiqt7rREASgIG3gCKhXnz5ikhIUH9+/dX7dq1c33cfffdOac1HzZsmGbMmKFhw4YpOjpa27Zt03vvvSdJqlixovr27auHH35YP/30kw4cOKAlS5bou+++kyQ9+eSTOnTokJ5++mnt3LlTc+bM0bBhw/Tcc8/lDE/btGmjr776SsuXL9e2bdvUt2/fC1YzX0mFChVksVg0b948nThxQsnJeb8mmZeXlx555BENGzZMdrtdL774olatWqWBAwcqKipKe/bs0Zw5czRw4EBJUvXq1dWhQwc99thjWrt2rTZu3KgBAwbkWq3s6empm2++We+++66io6O1dOlSvfbaa1d1TJJUrVo1PfDAA+rTp49mz56tAwcOaN26dfrf//6nX375RZI0ePBg/fbbbzpw4IA2bdqkP//884rXE69UqZLatGmjRx99VO7u7rlWc7/++uv68ssvNWLECP3111+Kjo7WzJkzr6n/Si73s1W+fHm5ubnp008/1f79+zV37ly9+eabuZ6fl+97ZGSkunTpokceeUQrVqzQli1b1Lt3b5UtW1ZdunTJ92PCpX236zvN2TfHdAYAXLNjaSc0o1bri98ZVlfqPfvcqcvLXf9lPwAAKCztaoVpweBbNPLeuirj73HlJwBAEfTu/GhtPHjadAYAOBQG3gCKhUmTJqlt27by9/e/4L67775bGzZs0NatW3Xrrbfq+++/19y5c1W/fn21adNG69aty3nsuHHjdM899+jJJ59UjRo19MgjjyglJUWSVLZsWf36669at26d6tWrp8cff1z9+/fPNTx9+eWX1apVK3Xu3FmdOnVS165dc11LOS/Kli2rESNG6KWXXlLp0qVzhtN5NXDgQEVHR+v7779X3bp1tXTpUu3evVstW7ZUgwYN9Prrr+c67fuUKVNUpkwZtWrVSt27d9ejjz6q0NDQXNucPHmysrOzdeONN2rw4MF66623rqrpv/vq06ePnn/+eVWvXl1du3bV+vXrVb58eUnnVjc/9dRTqlmzpjp06KBq1app7NixV9xu//79lZCQoF69euU6VXn79u01b948/f7772rcuLFuvvlmffzxx6pQocI19V/O5X62QkJCNHXqVH3//feqVauW3n33XY0cOTLX8/P6fZ8yZYpuvPFGde7cWU2bNpXdbtevv/56wWnMUXC2nNiid9e9azoDAK7bpMwjSvbw+/eGwErS3ZOkx5ZKVW8zFwYAwHVwdrLonhsj9OeQW/Vap5oK8OLvSgCKlyyrXU99s1mnkjNMpwCAw7DYuagnAOA8FStW1ODBgzV48GDTKYBDOZV2Sj3m9eC63QCKjcf96+ipveulVi9KDftIzm6mkwAAyFdn07P0+bL9+mL5AaVlXf2lwwDAUTWrEqSv+t8kZyeL6RQAMI4V3gAAAHlgtVn1wrIXGHYDKDZ8XH3kVbWd7IO2SI0HMOwGABRLfh6uev726lo29Fb1aVpBLgyGABQTq/ad0kcLd5nOAACHwMAbAAAgDz7e+LHWH1tvOgMArpubk5v63tBX87vP10O1H5LFzct0EgAABS7E10NvdKmtxc+30l31ylz5CQBQBIxdsk+Lo4+bzgAA4zilOQAAwBX8FvObhiwdYjoDAK6Lk8VJd1W5S0/We1LhPuGmcwAAMGrH0TN6f8EuLdl9wnQKAFwXf09XzXu6hSJK8UZWACUXA28AAIDLyNi/Xz9/945GhK81nQIA16xN+TYa1GCQqgRUMZ0CAIBDWbP/lN6bv1ObDyWaTgGAa1a7rJ9+eKKZ3F2cTacAgBEMvAEAAC7BlpqqAz16KHPvPiXd2kDP3bxHZyzpprMAIM8alW6kwTcOVr2QeqZTAABwaL/9dUzvL9ilfSeSTacAwDXp2SRC/+te13QGABjBwBsAAOASjjw/RGd/+eXfGypX0HvdbNroFmcuCgDyoHpgdQ1uOFgtyrUwnQIAQJGRbbVp9uYj+njhbsWd4Y2uAIqeD+6pq3sbRZjOAIBCx8AbAADgIk5//Y2Ov/XWBbdbfLy14IFITSq13UAVAFxekEeQnr3xWd1Z5U45WZxM5wAAUCRlZFn1xYoD+vSPPUrPspnOAYA883B10uwnmqtWGT/TKQBQqBh4AwAAnCdtyxYd7P2g7FlZl3zMkS6N9ULNLcq28AIYAPOcLc7qWaOnnqz/pHzdfE3nAABQLBxJTNNb83Zo/vZjplMAIM8qBnlp7tMt5OfhajoFAAoNA28AAID/yE5I0IHudys77sqnLc9uUFMvtz2hgy6JBR8GAJdwY+kb9UqTV1StVDXTKQAAFEvLdp/Q8Ll/af/JFNMpAJAnt9cqrYl9GpnOAIBCw8AbAADgb3abTYceeVQpK1fm+TmW0GBNuT9Iv3rvK8AyALhQsGewhjQaok6VO5lOAQCg2MvItmryigMavXiv0rKspnMA4IpevqOGHmtVxXQGABQKBt4AAAB/OzHmM50cM+bqn+jioq33NdBb5TfnfxQAnMfZ4qwHaj6gJ+o9IR83H9M5AACUKEcT0/T2L9H6ZduVzwgFACY5O1k0fcBNuqlykOkUAChwDLwBAAAkpaxdp9iHHpJs135N7uRWDfTszXt0xik9H8sA4F+NSjfSKze9osjASNMpAACUaCv2nNSwuX9p34lk0ykAcEkhvu76ZVALhfp6mE4BgALFwBsAAJR42QkJOtClq7Lj469/Y5XL6/2u0gb3o9e/LQD4W4hniIY0HqKOlTqaTgEAAH/LzLZpysoDGrV4j1IzOc05AMfUpFIpTR9wk1ycnUynAECBYeANAABKNLvdrkOPP66UpcvybZsWH2/91itSXwRtz7dtAiiZXCwu6l2rtx6v97i8Xb1N5wAAgIs4diZd7/warblbeNMrAMf02C2V9XLHmqYzAKDAMPAGAAAl2qkpUxX/3nsFsu2jXZpoSM0oZVuu/TTpAEquJmFN9MpNr6hKQBXTKQAAIA9W7zul1+ds1554TnMOwPGM732jOtQOM50BAAWCgTcAACix0rZt18FevWTPyiqwfWTXr6lX2p1QjEtige0DQPES6hWqFxq9oA6VOphOAQAAVynLatPUVTH6ZOFupXCacwAOxNfdRfMGtVCFIM4cBaD4YeANAABKJGtyig50766s2NgC35clJFhT7w/WLz57C3xfAIouF4uLHqz1oB6r9xinLwcAoIg7fjZdb//Cac4BOJZ6EQH64fGmXM8bQLHDwBsAAJRIR4a8oLPz5hXeDl1ctO3+hnozYlPh7RNAkXFz+M16ucnLqhxQ2XQKAADIR2v2nzvN+e7jnOYcgGMY2LqqhrSvbjoDAPIVA28AAFDiJP4wW3Gvvmpk38mtGujZm/fojFO6kf0DcCz+7v56ucnL6lS5k+kUAABQQLKsNn2+bL8+WbRHmVab6RwAJZyTRZr5aFM1qVTKdAoA5BsG3gAAoETJ2L9fB+65V/bUVHMRlcvrg67SendObwiUZG0i2uj/mv6fgj2DTacAAIBCsOtYkl6YtUVbD58xnQKghCsb4Kn5g1vKz8PVdAoA5AsG3gAAoMSwZWQo5r77lbFzp+kUWby99fsD1fR50DbTKQAKmb+7v15p8oo6Vu5oOgUAABSybKtNE1ntDcAB3FmvjD7t2cB0BgDkCwbeAACgxDj2xhtKmD7DdEYuR+9qoiG1opRt4cUuoCRgVTcAAJBY7Q3AMXx4bz3dfWM50xkAcN0YeAMAgBLh7MKFOvL0INMZF2WtV0Mv335SMS6JplMAFBBWdQMAgPOx2huAaT7uLvp1UEuVD/IynQIA14WBNwAAKPayjh7V/m7dZTvjuKsnLCHBmnZ/sOb57DWdAiCfsaobAABcDqu9AZjUsHyAvnusqVycnUynAMA1Y+ANAACKNXt2tg4+2EdpmzebTrkyFxdtu6+h3iy/yXQJgHzAqm4AAJBXrPYGYNKg2yL1XLtqpjMA4Jox8AYAAMVa/Cef6NT4CaYzrkpyqwZ69uY9OuOUbjoFwDViVTcAALgWrPYGYIKzk0XfPnqzGlUsZToFAK4JA28AAFBspW7YoIN9+kq2ordCwlKpvN7vJq13P2o6BcBVYFU3AAC4Xqz2BmBCuUBPzX+mpXw9XE2nAMBVY+ANAACKJWtysg506aqsI0dMp1wzi7e3fn+gmj4P2mY6BUAesKobAADkJ1Z7AyhsXeuX0Sf3NzCdAQBXjYE3AAAolo6+9LLO/PST6Yx8EXdXE71Qa4syLVbTKQAuglXdAACgoLDaG0BhG3V/fXWpX9Z0BgBcFQbeAACg2Dn72+868swzpjPylbVedb18+ynFuCSaTgHwH6zqBgAAhYHV3gAKi6+Hi34d1FIRpbxMpwBAnjHwBgAAxUpWfLwO3NVF1sRE0yn5zik4SF/2DNVcnz2mU4ASj1XdAACgsLHaG0BhaVQhUN8+1lTOThbTKQCQJwy8AQBAsWG323XokUeVsmKF6ZSC4+Ki7T0a6I0Km02XACVW47DGerfluwr1CjWdAgAASqDouLN66ptN2n8yxXQKgGLs2bbV9EzbSNMZAJAnDLwBAECxcfrrb3T8rbdMZxSKlFsa6Lmme5XglGY6BSgxnCxOerzu43q07qNydnI2nQMAAEqwlIxs/d+c7Zq96YjpFADFlIuTRd893lQNyweaTgGAK2LgDQAAioWM/ft1oPvdsqenm04pNJZK5fVBN4vWufMiF1DQQjxD9N4t76lxWGPTKQAAADl+2HhYr/20XWlZVtMpAIqh8qW89OszLeXj7mI6BQAui4E3AAAo8uzZ2Yrp2Uvp27aZTil0Fm9vLewVqYnB202nAMVWy7It9VaLt1TKo5TpFAAAgAvsjU/WwOmbtPNYkukUAMVQ94Zl9VGP+qYzAOCynEwHAAAAXK+TEyaUyGG3JNlTUtT28yiN2t5AbnZOsQzkJxeLi5678TmNuW0Mw24AAOCwqob66Kenmqv3TeVNpwAohmZvOqKftxw1nQEAl8UKbwAAUKSl/fWXYu7vKWVlmU4xzlqvul69/bT2uySYTgGKvDLeZfR+q/dVL6Se6RQAAIA8+2VrnF76YauSMrJNpwAoRvw8XPTbs7co3N/TdAoAXBQDbwAAUGTZMjJ04O67lbl3n+kUh+EUHKQve4Zqrs8e0ylAkdW2fFuNaDZCfu5+plMAAACuWuypVA2csUlbD58xnQKgGGlTI1ST+zU2nQEAF8UpzQEAQJF14pNRDLvPYzt5Sr3H7dGwgw1NpwBFjquTq1696VV93Ppjht0AAKDIKh/kpVmPN9OAlpVMpwAoRv7YGa/Zmw6bzgCAi2KFNwAAKJJS16/Xwb79JJvNdIrDSrmlvp5ruk8JTmmmUwCHV8Gvgka2GqkapWqYTgEAAMg3i6OP6/nvtygxlUtAAbh+AV6u+v3ZWxTq62E6BQByYeANAACKHFtKivZ36aqsw7yz+EosFSM0sruT1rofMZ0COKzOlTvrtZtfk7ert+kUAACAfHc0MU3PzNys9TEJplMAFAPtbyitCQ82Mp0BALkw8AYAAEVO3IgRSpwx03RGkWHx8tKiB6prQvA20ymAQ/F08dQrN72irlW7mk4BAAAoUNlWm0Yt3qMxf+4VrwYDuF5jejVQ57plTGcAQA4G3gAAoEhJWbdOsX37iVdprt6xzo01pPZWZVqsplMA4yIDIvVBqw9UJaCK6RQAAIBCs2LPST37bZROJGeYTgFQhAX7uOn3Z1uplLeb6RQAkMTAGwAAFCG29HTt79JFWQdjTacUWda61fVq+9Pa78LpDFFy3VvtXg1tPFQeLlx3DgAAlDwnkjL03HdRWr7npOkUAEXYXfXKaHTPBqYzAEASA28AAFCEHH/vfZ2eMsV0RpHnFBykL+8P1VzfPaZTgELl7eqt4U2Hq0OlDqZTAAAAjLLZ7Bq/dJ8+XLhbVhsvDwO4Np/3aaR2tUqbzgAABt4AAKBoSNu6VTE9e0lWTsedL1xc9FePhhpRYZPpEqBQVPCroE/bfKpK/pVMpwAAADiMlXtP6slvNulMWpbpFABFUGk/d/3+bCv5e7qaTgFQwjmZDgAAALgSe2am4l59lWF3fsrO1g3T12nKitoKtHmargEKVLMyzTS943SG3QAAAOdpXjVYcwc2V2Soj+kUAEXQ8bMZenPeDtMZAMDAGwAAOL6T4ycoY89e0xnFkvfyKE38NkA3ZZQ1nQIUiD61+uiz2z6Tn7uf6RQAAACHVCHIW7OfbKa2NUNNpwAogmZtPKylu0+YzgBQwnFKcwAA4NDSd+3SgXvulbI4xV5Bsnh5afED1TU+eJvpFCBfuDq5aljTYepStYvpFAAAgCLBZrPrw4W79dmfvNkYwNUpG+Cp3569RT7uLqZTAJRQDLwBAIDDslutirnvfqVv3246pcQ41rmxhtTeqkwLp49H0RXsGaxPbv1E9ULrmU4BAAAocuZGHdELs7YqI9tmOgVAEfLATeX1drc6pjMAlFCc0hwAADis01OmMOwuZGHz1mvaLxVVJbuU6RTgmtQKqqWZnWYy7AYAALhGd9Uvq1mPN1OYn4fpFABFyPR1sVq975TpDAAlFCu8AQCAQ8o4cEAHunaTPSPDdEqJ5BRcSl/1LK05PntMpwB51rFSR41oNkIeLrw4CwAAcL1OJKXrsa82aVNsgukUAEVEhSAvLXjmFnm6OZtOAVDCMPAGAAAOx2636+CDDyptw0bTKSWbi4v+6tFQIypsMl0CXJZFFg1uOFgP13nYdAoAAECxkpFt1Ws/btf3Gw+bTgFQRDzUvKKG3XmD6QwAJQynNAcAAA4nYfp0ht2OIDtbN0xfpykraivQ5mm6Brgob1dvfdrmU4bdAAAABcDdxVkf3FtPr3euJSeL6RoARcG0VTHaePC06QwAJQwDbwBFzq233qrBgwdf93b69eunrl27Xvd2cKElS5bIYrEoMTFRkjR16lQFBATk3D98+HDVr1/fSBscX9aRIzrx4UemM/Af3sujNPFbf92UUdZ0CpBLhG+Evun4jVpFtDKdAgAAUKw93KKSpj7URH6eLqZTADg4m116YdZWpWdZTacAKEEYeAMwrl+/frJYLHr88ccvuO+pp56SxWJRv379cm6bPXu23nzzzeve76hRozR16tTr3s6V/HN853906NAh5zEWi0U//fTTRZ/736F8fg3786JixYr65JNPLrj9/GH1xZqaNWumuLg4+fv7X3TbQ4YM0eLFi3M+z683H0ydOjXn6+vs7KzAwEDddNNNeuONN3TmzJmr2lZMTIwsFouioqKuuwtXJ+71YbKlpprOwHnsMYc1ZPwJPX6yjukUQJJ0c/jNmtFphqoEVDGdAgAAUCLcUi1Ec55qoSohPqZTADi4/SdS9MmiPaYzAJQgDLwBOISIiAjNnDlTaWlpObelp6dr+vTpKl++fK7HlipVSr6+vte9T39//1yrjgtShw4dFBcXl+tjxowZhbLvK8nKysr3bbq5uSksLEwWy8XPd+bj46OgoKB8368k+fn5KS4uTocPH9aqVav06KOP6ssvv1T9+vV19OjRAtkn8k/i7B+VsnKl6Qxcgj01VW0+36xPtzWQm93ZdA5KsAdqPqBxbcfJ3/3ib6wCAABAwagU7K0fn2qm1tVDTacAcHCfL9+vrYcTTWcAKCEYeANwCA0bNlRERIRmz56dc9vs2bNVvnx5NWjQINdjz19RPHbsWEVGRsrDw0OlS5fWPffck3PfrFmzVKdOHXl6eiooKEht27ZVSkqKpIuvnh40aJCGDh2qUqVKKSwsTMOHD8+17507d6pFixby8PBQrVq1tGjRokuuzv4vd3d3hYWF5foIDAy8ui9SHo0bN05VqlSRm5ubqlevrq+++irX/RaLRePGjdNdd90lb29vvf3229e8r379+mnp0qUaNWpUzsrqmJiYC05pfr7/rhIfPny4pk2bpjlz5uRsY8mSJWrTpo0GDhyY63knTpyQm5tbrtXh57NYLAoLC1N4eLhq1qyp/v37a9WqVUpOTtbQoUNzHrdgwQK1aNFCAQEBCgoKUufOnbVv376c+ytVqiRJatCggSwWi2699VZJ0vr169WuXTsFBwfL399frVq10qZNm67hq4fzZSckKP79901nIA9Kz1uvab9UVJXsUqZTUMK4OLloRLMReqnJS3Jx4nSaAAAAJvh5uOqLvo30eKvKplMAODCrza6hs7Yqy2oznQKgBGDgDcBhPPzww5oyZUrO55MnT9ZDDz102eds2LBBgwYN0htvvKFdu3ZpwYIFuuWWWyRJcXFx6tmzpx5++GFFR0dryZIl6t69u+x2+yW3N23aNHl7e2vt2rV6//339cYbb2jhwoWSJKvVqq5du8rLy0tr167VxIkT9eqrr+bDkeefH3/8Uc8884yef/55bd++XY899pgeeugh/fnnn7keN3z4cHXr1k3btm3Tww8/fM37GzVqlJo2bapHHnkkZ+V6RETEVW1jyJAh6tGjR65V8M2aNdOAAQM0ffp0ZWRk5Dz266+/VtmyZdWmTZur2kdoaKgeeOABzZ07V1bruesHpaSk6LnnntOGDRu0ePFiOTk5qVu3brLZzv0Svm7dOknSokWLFBcXl/NmjKSkJPXt21crVqzQmjVrFBkZqY4dOyopKemqmnCh+Pfel/USb5KA43HetkvvTclWl+RI0ykoIYI8gjS5/WR1j+xuOgUAAKDEc3ay6KU7aurj++rL3YWXmAFc3M5jSfpi+QHTGQBKAJZFAHAYvXv31ssvv6yDBw9KklauXKmZM2dqyZIll3xObGysvL291blzZ/n6+qpChQo5K8Lj4uKUnZ2t7t27q0KFCpKkOnUuf+3ZunXratiwYZKkyMhIjRkzRosXL1a7du20cOFC7du3T0uWLFFYWJgk6e2331a7du2ueGzz5s2Tj0/ua1y98soreuWVV6743KsxcuRI9evXT08++aQk6bnnntOaNWs0cuRItW7dOudxvXr1uuKbCfLC399fbm5u8vLyyvmaXC0fHx95enoqIyMj1za6d++ugQMHas6cOerRo4ekc9fo/uea6FerRo0aSkpK0qlTpxQaGqq777471/2TJ09WSEiIduzYodq1ayskJESSFBQUlKvr/GH7xIkTFRAQoKVLl6pz585X3YVzUtat05krnCkBjsd28rQeGHdWDe5tqOEVOdMBCk6NUjU0uvVohfuEm04BAADAf3RrUFaVg731yJcbFJ+UceUnAChxPv1jj7rUL6MyAZ6mUwAUY7z9DoDDCAkJUadOnTR16lRNmTJFnTp1UnBw8GWf065dO1WoUEGVK1fWgw8+qG+++UapqamSpHr16um2225TnTp1dO+99+rzzz9XQkLCZbdXt27dXJ+Hh4crPj5ekrRr1y5FRETkGn42adIkT8fWunVrRUVF5fp4/PHH8/TcqxEdHa3mzZvnuq158+aKjo7OdVujRo3yfd/5zcPDQw8++KAmT54sSdq0aZO2b9+ufv36XdP2/lnZ/8+wfM+ePerZs6cqV64sPz8/VaxYUdK5N1FczvHjx/XII48oMjJS/v7+8vPzU3Jy8hWfh0uzZ2bq2PARpjNwrbKzVWvGOk1dXltBNi/TNSiGbg6/WVM7TGXYDQAA4KDqRQRo9pPNVDnY23QKAAeUmmnVm/N2mM4AUMwx8AbgUB5++GFNnTpV06ZNy9Optn19fbVp0ybNmDFD4eHhev3111WvXj0lJibK2dlZCxcu1Pz581WrVi19+umnql69ug4cuPRpdFxdXXN9brFYck5xfT28vb1VtWrVXB+lSv177VtfX1+dOXPmguclJibK39//uvd/sZ4r8fPzK9SmixkwYIAWLlyow4cPa8qUKWrTpk3Oav2rFR0dLT8/PwUFBUmS7rzzTp0+fVqff/651q5dq7Vr10qSMjMzL7udvn37KioqSqNGjdKqVasUFRWloKCgKz4Pl3Zq0iRl7t9vOgPXyWtFlMbP9FPT9HKmU1CMdKjYQZ/d9pm8XXnxFAAAwJGVC/TSrCeaqX5EgOkUAA5o/vZjWrr7hOkMAMUYA28ADqVDhw7KzMxUVlaW2rdvn6fnuLi4qG3btnr//fe1detWxcTE6I8//pB0bmDdvHlzjRgxQps3b5abm5t+/PHHa2qrXr26Dh06pOPHj+fctn79+mva1sW2vXHjxly3Wa1WbdmyRdWqVcvzdmrWrKmVK1fmum3lypWqVatWvjRJ51Za/7fJzc0t57rY1+pS26hTp44aNWqkzz//XNOnT7/m643Hx8dr+vTp6tq1q5ycnHTq1Cnt2rVLr732mm677TbVrFnzgtX/bm5uknRB18qVKzVo0CB17NhRN9xwg9zd3XXy5Mlr6oKUefCgTo6fYDoD+cR+8LCeG39cT5yoe+UHA1fQq0YvvXfLe3JzdjOdAgAAgDwo5e2mbwbcpFbVQkynAHBAw+ZsV0b29b2GCACXwjW8ATgUZ2fnnNNvOzs7X/Hx8+bN0/79+3XLLbcoMDBQv/76q2w2m6pXr661a9dq8eLFuv322xUaGqq1a9fqxIkTqlmz5jW1tWvXTlWqVFHfvn31/vvvKykpSa+99pokXfGa0hkZGTp27Fiu21xcXHJO2f7cc8+pf//+qlGjhtq1a6eUlBR9+umnSkhI0IABA/Lc+MILL6hHjx5q0KCB2rZtq59//lmzZ8/WokWLrvJopWeffVYtW7bU22+/re7du8tqtWrGjBlavXq1xo4dm/O4ihUrau3atYqJiZGPj0+ulet5VbFiRf3222/atWuXgoKC5O/vn7PafsCAARo4cKC8vb3VrVu3K27Lbrfr2LFjstvtSkxM1OrVq/XOO+/I399f7777riQpMDBQQUFBmjhxosLDwxUbG6uXXnop13ZCQ0Pl6empBQsWqFy5cvLw8JC/v78iIyP11VdfqVGjRjp79qxeeOEFeXpyDaJrdeyNN2XP4DpvxYk9LU2tv9ikWp0aa0idrcqw8JdZXL1nGj6jAXXy/v8/AAAAOAZvdxd90beRhs7aqh83HzGdA8CBxJxK1cSl+/X0bZGmUwAUQ6zwBuBw/Pz85Ofnl6fHBgQEaPbs2WrTpo1q1qyp8ePHa8aMGbrhhhvk5+enZcuWqWPHjqpWrZpee+01ffjhh7rjjjuuqcvZ2Vk//fSTkpOT1bhxYw0YMECvvvqqpHPXm76cBQsWKDw8PNdHixYtcu7v2bOnvvjiC02ePFk33nijOnTooGPHjmnZsmUqXbp0nhu7du2qUaNGaeTIkbrhhhs0YcIETZkyRbfeeutVH2+zZs00f/58zZ8/X82bN9ett96qVatWafHixapdu3bO44YMGSJnZ2fVqlVLISEh13Qt60ceeUTVq1dXo0aNFBISkmuVes+ePeXi4qKePXte8essSWfPnlV4eLjKli2rpk2basKECerbt682b96s8PBz1391cnLSzJkztXHjRtWuXVvPPvusPvjgg1zbcXFx0ejRozVhwgSVKVNGXbp0kSRNmjRJCQkJatiwoR588EENGjRIoaGhV33MkOKXbVDKeWckQPFR+pf1mvZLBUVmBZlOQRHiZHHSG83eYNgNAABQhLk6O+nDe+vpkZaVTacAcDCfLdmrQ6dTTWcAKIYsdrvdbjoCAIqqlStXqkWLFtq7d6+qVKliOqdYiomJUZUqVbR+/Xo1bNjQdA7ySWZatr4ZvkZ+ntmqummS3HZvMJ2EAmIJKqXpPcP0o+9u0ylwcO7O7vqg1QdqHdHadAoAAADyycRl+/XOr9GmMwA4kLY1Q/VF38amMwAUMwy8AeAq/Pjjj/Lx8VFkZKT27t2rZ555RoGBgVqxYoXptGInKytLp06d0pAhQ3TgwIELrk2Oom35t7u19c/DkiQnZ4uqB59S6bnvySkt2XAZCoSLi6LvbahhFTeZLoGD8nPz05jbxqhBaAPTKQAAAMhnszcd1tBZW5Vt42VoAOd80aeR2tbK+1ktAeBKOKU5AFyFpKQkPfXUU6pRo4b69eunxo0ba86cOaaziqWVK1cqPDxc69ev1/jx403nIB+dOJSkbUv/vZabzWpX9PFS2tj+I6W0ut9gGQpMdrZqzlinqctvUJDNy3QNHExpr9Kadsc0ht0AAADFVPeG5TSpbyN5ujqbTgHgIEbM+0vpWVbTGQCKEVZ4AwCAQmO32zX7g406tv/sJR8TUcauSss/lcuhXYVYhsJiqVBOH3V30WqPw6ZT4AAq+1fWhHYTFOYdZjoFAAAABSwqNkEPTV2vhNQs0ykAHMCgNlX13O3VTWcAKCYYeAMAgEKzY8VR/fn1zis+ztXdSTW9D6rU3I/klJ1ZCGUoTBZPT/35QE2NDdlqOgUG1QuppzFtxijAI8B0CgAAAArJvhPJ6jNpnY4kpplOAWCYm4uTfh98iyoGe5tOAVAMMPAGAACFIj05S98MW6P0lLy/mz8w2FU1Yn6Q54bfCrAMpsR3aqzn62xVhoXTmJU0t5S7RSNbjZSni6fpFAAAABSyY2fS1XfyOu06nmQ6BYBht1QL0ZcPNzGdAaAY4BreAACgUKz+ad9VDbslKeFkllb73qWDvT6UNSi8gMpgSugv6zVtXgVFZgWZTkEh6lq1qz5p/QnDbgAAgBIqzN9D3z/eVE0qlTKdAsCwZbtPaMH2ONMZAIoBVngDAIACF3/wrL5/d4N0Hb91eHi7qKa2KuDXsbLw60uxYgkqpRk9wzTbd7fpFBSw/rX7a/CNg01nAAAAwAGkZ1n1zMzN+u2v46ZTABhUxt9Di55vJS83F9MpAIowVngDAIACt/zbPdc17Jak9JRsbU6ppR09ximz5s35EwaHYD91WveP26U3DjQ0nYICNLTxUIbdAAAAyOHh6qzPejVUryblTacAMOjomXSNXrzXdAaAIo4V3gAAoEDtWntMi6bsyNdtOjlZVC00QWHz3pdT8pl83TbMSmteT8+3iNFJpxTTKcgnLk4uervF2+pYqaPpFAAAADiojxbuYuAFlGCuzhbNf+YWVQ31MZ0CoIhi4A0AAApMVoZV3wxbo5TEjALZvo+/i2omLZfvH18XyPZhhqV8WX18t5tWeRwynYLr5OHsoVFtRqlZmWamUwAAAODgvlwdo9fn/GU6A4AhzaoEafojnNEPwLXhlOYAAKDAbFwQU2DDbklKPpOt9bam2t3rM2VXqFVg+0Hhssce0bPjj+nJE3VNp+A6eLp4alzbcQy7AQAAkCd9mlbUu3fXkcViugSACav2ndLcLUdNZwAooljhDQAACsTZk2maPmKtrFm2Qtmfi5uTavoeVtDPI+WUWXBDdhSu+E6N9XydrcqwWE2n4Cp4uXhpbNuxurH0jaZTAAAAUMR8v+GQhv6wVbxqDZQ8pf3ctfj5W+Xj7mI6BUARwwpvAABQIFb+sLfQht2SlJ1p07ZTZRR156dKu6lzoe0XBSv0l/WaNq+CIrODTKcgj7xdvTWh3QSG3QAAALgm9zaK0If31pMTK72BEuf42Qx9snC36QwARRArvAEAQL47vPO05nwSZbShUplMlV/4oZxPHDbagfxhKRWoGb3CNduXv/g6Ml9XX41vN151QzgdPQAAAK7P3KgjGvxtlGy8eg2UKC5OFv0yqKWqh/maTgFQhDDwBgAA+cpms+vbt9bp9NEU0yly93RWTZdoBc4bLQu/8hR9zs7aee+Ner3SJtMluAg/Nz9NbDdRNwTfYDoFAAAAxcS8rUf1zMwoWZl6AyXKLdVC9OXDTUxnAChCOKU5AADIV38tO+IQw25JykizKiqpmrb3GKeMOi1N5+B6Wa2qMXOdpi27QcE2b9M1+A9/d399cfsXDLsBAACQrzrXLaMxvRrIhfObAyXKst0ntGz3CdMZAIoQVngDAIB8k56Spa9fX62MlGzTKRewOEnVSicpfN77cko6bToH18lSvqw+udtNKz0OmU4p8QLdA/X57Z+reqnqplMAAABQTC3ccUxPfrNJWVZeygZKihphvvp1UEs58YYXAHnACm8AAJBv1s7d75DDbkmy26Rdcb5a3/p/OtvuIdM5uE722CMaPP6YnornWtEmlfIopUntJzHsBgAAQIFqVytM43vfKDdnXs4GSoqdx5I0a+Nh0xkAigh+QwAAAPni1JFk/bX8qOmMK0o5m60NWY20q+dYZVVmWFqU2dPS1GrSJo3ZUl/udmfTOSVOoHugvrj9C0UGRppOAQAAQAlwW83SGte7oVydWe0JlBQfLtyltEyr6QwARQADbwAAkC+Wf7dbdlvROb3ckTi7VlV5QsfvfV12Nw/TObgOob9u0LSfyysyO8h0Sonh7+6vz2//nGE3AAAACtVtNUvrs14NuaY3UEIcP5uhz5fvN50BoAjgGt4AAOC67Y86ofnjt5nOuGb+pVxV89iv8lr1k+mUQjHx1CktSk7S/oxMeThZVN/TU8+HhKiSm3vOY96LP64fz5yRl5OTng0J0Z1+/jn3LUg6q7lnzmhsuQgT+ZdkKRWomb3K6AffXaZTijU/Nz99cfsXqhlU03QKAAAASqj52+M0cPpmWYvQm64BXBtvN2cteaG1Qnzdr/xgACUWK7wBAMB1sVltWv3jPtMZ1+XM6SytcWun/b1GKTu8oumcArchNVU9AwI0o0IFfVEuQtl2uwYcOqRUm02S9GdykuadPasvIiL0fEioXj92TAnZ567NnmS1atSJE3qtdJjJQ7go++kE3Tdup9480MB0SrHl6+qrie0mMuwGAACAUXfUDteo++uLhd5A8ZeSadVHC3ebzgDg4Bh4AwCA67J92VElHk81nZEvYo66aE29l3Sqy3OyOxXfa0JPjIhQN/8ARbq7q4aHh94JC1dcdrZ2pKdLkvZnZKqJl5dqe3iqk5+ffJycdDgrS5I08sQJ3R8QqDKuriYP4dKsVlWfuV7TltZSsM3bdE2x4uPqowm3T9ANwTeYTgEAAADUuW4ZfXwfQ2+gJPhuwyHtOZ5kOgOAA2PgDQAArllmWrbW/3LAdEa+yky3asuZKtp2z1il17vVdE6hSPp7Zbe/87khf3UPd21PT9cZq1V/pacr3W5XeTc3bUxNVXRGunoHBprMzRPPVVs1brqPmqc71mnXiyovFy+NbztedYLrmE4BAAAAcnSpX1Yj760nC0NvoFiz2ux659do0xkAHBjX8AYAANds9Y/7tOm3g6YzCozFIlUNS1HZX9+X05mTpnMKhM1u11NHDivJZtPX5Svk3D7m5An9fPasPCxOejo4WLf4+OjemBi9Ex6uqLQ0fZOQoEBnZw0PC1Oku+NeR8vi6aGlvWppTOhW0ylFlqeLp8a3Ha+GpRuaTgEAAAAu6vsNh/TCLH7nB4q7bwbcpOZVg01nAHBADLwBAMA1STqdrm+GrZE1y2Y6pcB5+bioZtYG+f/2uemUfDfi2DEtT0nW1+UrKOwypyn/7ORJJdms6ubnrwGHD2lOxUpakpKs6QkJmlWxUiEWX5sTHRvrubpblWGxmk4pUjycPTSu7Tg1CmtkOgUAAAC4rBnrYvXy7G2mMwAUoFrhfpr3dAs5cS0DAOfhlOYAAOCarJmzr0QMuyUpNTlbGzPqK7rnOGVVbWA6J9+8dfyYlqYka2pE+csOu/dnZOjns2f0dHCI1qWlqpGXl0q5uKiDr592ZGQoxeb4Q+SQX9dr2s/lFZkdZDqlyHBxctHoNqMZdgMAAKBI6NmkvIbdWct0BoACtCPurH7cfMR0BgAHxMAbAABctROxSdq97rjpjEIXF2fTqoqP6FiPEbJ5eJvOuWZ2u11vHT+mRcnJmhxRXuXc3C772OHHj+nF0FB5OznJZpey/z5B0D//tBaR8wU5/bVH70zK1N1J1U2nFAnvtHhHTcs0NZ0BAAAA5NlDzSvpqdZVTWcAKEAf/r5L6VmO/8Z7AIWLgTcAALhqq2bvlYrIkDO/WbPt2hEfrE13fKyUlveazrkmb8Yf189nz+qD8DLydnLSiexsncjOVrrtwhX7s86cUSlnF7X28ZUkNfD01NrUVG1JS9O0hNOq4uYmP2fnwj6Ea2Y/naD7xu3Um/sbylJCf4bz4qUmL+mOSneYzgAAAACu2gvtq6tHowjTGQAKyNEz6Zq04oDpDAAOhmt4AwCAqxK745R+Hr3FdIbDKF/GpopLR8nlyF7TKXlWa9fOi97+dliYuvkH5Hx+Mjtb9x+M0fQKFRTq8u8pz8eePKmvEk4ryMVF74SFq66nZ0EnF4j0pnU1pGWs4p2TTac4lP61+2vwjYNNZwAAAADXLNtq0+Nfb9Si6HjTKQAKgI+7i5a8cKuCfdxNpwBwEAy8AQBAntntdn33znqdPMSA8L9c3Z1Uy+uASs39SBZrtukcXAVLRFmNusdNKzwOmU5xCF2rdtWbzd80nQEAAABct7RMq3pPWquNBxNMpwAoAL1vLq+3utYxnQHAQXBKcwAAkGe71x1n2H0RWRk2bUmooC3dP1N6w3amc3AV7IeO6JnxcRoYX9d0inGtyrXSsKbDTGcAAAAA+cLTzVmT+jZSZKiP6RQABWDmukPaG89rVADOYeANAADyxJpl09o5+01nOLTTJ7K1yr+rYnuNlLVUadM5yCN7WrpumbRJY6Pqy8PuYjrHiHoh9fRBqw/k4lQyjx8AAADFU4CXm77s30Rl/D1MpwDIZ9k2u96df/FLtgEoeRh4AwCAPNm65LCSTqebznB8dmnvUU+tbfqGEu94wnQNrkLw/A2a+nOEqmcFm04pVJX9K+uz2z6Tp0vRvBY7AAAAcDnh/p76sv9N8vd0NZ0CIJ8tij6uNftPmc4A4AAYeAMAgCvKSM3SxgUxpjOKlPSUbG1Kq62/7h+nzBqNTecgj5z+2qO3JqXrnrPVTacUitJepTWh3QT5u/ubTgEAAAAKTNVQH03p11gerrwcDhQ37/waLbvdbjoDgGH8Hx4AAFzR5oWxykjJNp1RJB0/ZtOqsg8p7r63ZPP2M52DPLAnJKrH+J16e39DWYrx35n93Pw0vt14hXmHmU4BAAAAClzDCoH6rFdDOTtZTKcAyEdbD5/RnKijpjMAGMbAGwAAXFZacqa2/nHYdEaRZrPaFX08UBvajlTyrb1M5yAvrFZFfrtO05bWUqjVx3RNvvNw9tBnt32mqgFVTacAAAAAhea2mqX13t11TGcAyGcfLtylbKvNdAYAgxh4AwCAy9q04KCyMqymM4qF5DNZWqfm2tNrjLIjSsYps4s6j9Vb9dkML7VIjzCdkm+cLc76oNUHqh9a33QKAAAAUOjuuTFCL3WoYToDQD46dDpNszayWAMoyRh4AwCAS0pJzND2pUdMZxQ7h45atKrmYJ3o/rJsLm6mc3AF9kNH9cz4OD0dX890Sr4Y3my4bo241XQGAAAAYMzjt1bRw80rms4AkI8+/WOvsljlDZRYDLwBAMAlbZgfo+ws/rJQELIzbdp2upy2dPlUaU06ms7BFdjT0tVy0kaNjaovD7uL6Zxr9kzDZ9S1alfTGQAAAIBxr3WqpbvqlTGdASCfHElM03cbDpnOAGAIA28AAHBRZ0+lacfKo6Yzir2EU9la7d1JMb0+kjW4rOkcXEHw/A2aOrecqmcFm065ag/UfEAD6gwwnQEAAAA4BCcni0beW08tqha93+0BXNxnf+xVZjYLN4CSiIE3ABRDEydOVEREhJycnPTJJ5/kyzZjYmJksVgUFRWVL9uD49vwS4xs2XbTGSWDXdp/1F1rm/yfEjoPlN1iMV2Ey3DasVdvTUrXvWeLznXYO1TsoKGNh5rOAAAAAByKm4uTxj94o+qU9TedAiAfHD2Trm/Xx5rOAGAAA28AcAD9+vWTxWKRxWKRq6urSpcurXbt2mny5Mmy2a7uXYlnz57VwIED9eKLL+rIkSN69NFHC6R5yZIlslgsSkxMzNPjLBaLnJyc5O/vrwYNGmjo0KGKi4u76v1aLBb99NNP1xaNPEs8nqqda46Zzihx0lOt2pxcU3/1GKfMWk1N5+Ay7AmJunf8Tr29v6EsDv6+kJvDb9bbLd6Wk4Vf/QEAAIDz+bi7aMpDjVUxyMt0CoB88Nmf+5SRbTWdAaCQ8aoXADiIDh06KC4uTjExMZo/f75at26tZ555Rp07d1Z2dnaetxMbG6usrCx16tRJ4eHh8vJyjL+w7dq1S0ePHtX69ev14osvatGiRapdu7a2bdtmOg0XsW7eAdltDj7FK8bij1u1KuxBHbn/Hdl8Akzn4FKsVkV+u07TltZSqNXHdM1F1ShVQx/f+rHcnN1MpwAAAAAOK9jHXV8+fJOCffi9GSjqjp1N14y1rPIGShoG3gDgINzd3RUWFqayZcuqYcOGeuWVVzRnzhzNnz9fU6dOzXlcYmKiBgwYoJCQEPn5+alNmzbasmWLJGnq1KmqU6eOJKly5cqyWCyKiYnRvn371KVLF5UuXVo+Pj5q3LixFi1alGv/F1s5HRAQkGvf/4iJiVHr1q0lSYGBgbJYLOrXr99ljy80NFRhYWGqVq2a7r//fq1cuVIhISF64oknch6zfv16tWvXTsHBwfL391erVq20adOmnPsrVqwoSerWrZssFkvO53k5PuTdqSPJ2rvhuOmMEs9ms2vXMX+tb/Oekm7rYzoHl+Gxeqs+m+GllunlTafkEuQRpE/bfCofN8ccxgMAAACOpHyQl8b3vlGuzlxiCijqxi7Zp/QsVnkDJQkDbwBwYG3atFG9evU0e/bsnNvuvfdexcfHa/78+dq4caMaNmyo2267TadPn9Z9992XM+hdt26d4uLiFBERoeTkZHXs2FGLFy/W5s2b1aFDB915552Kjb22dztGRETohx9+kHRu5XZcXJxGjRp1Vdvw9PTU448/rpUrVyo+Pl6SlJSUpL59+2rFihVas2aNIiMj1bFjRyUlJUk6NxCXpClTpiguLi7n8/w+vpJu3c8HZGdxt8NIOZut9dabtKvXZ8qqeIPpHFyC/dBRDRp3VIOO1zOdIklycXLRx60/Vph3mOkUAAAAoMhoVLGU3upax3QGgOsUn5Shb1jlDZQoDLwBwMHVqFFDMTExkqQVK1Zo3bp1+v7779WoUSNFRkZq5MiRCggI0KxZs+Tp6amgoCBJUkhIiMLCwuTs7Kx69erpscceU+3atRUZGak333xTVapU0dy5c6+pydnZWaVKlZL078ptf3//azo2STnH16ZNG/Xu3Vs1atRQzZo1NXHiRKWmpmrp0qU5xySdW3keFhaW83l+H19JFn/wrPZHnTCdgYs4clRaHTlQ8fe8Jrubh+kcXIQ9PV0tJm/U2M315WF3Mdry+s2vq0FoA6MNAAAAQFF0X+MIPdS8oukMANdp/FJWeQMlCQNvAHBwdrtdFsu502lt2bJFycnJCgoKko+PT87HgQMHtG/fvktuIzk5WUOGDFHNmjUVEBAgHx8fRUdHG18Bbf97GfE/x3f8+HE98sgjioyMlL+/v/z8/JScnHzFTkc9vqJo7dz9phNwGdlZNm0/Ga5NnUcr9eY7TefgEoIXbNDUueVUIyvYyP571+ytbpHdjOwbAAAAKA5e7VhTLaqa+X0eQP44kZShr1YfNJ0BoJCYXXoCALii6OhoVapUSdK5wW54eLiWLFlyweMCAgIuuY0hQ4Zo4cKFGjlypKpWrSpPT0/dc889yszMzHmMxWLJGUD/IysrK1+O4VKio6Ml/Xtt7r59++rUqVMaNWqUKlSoIHd3dzVt2jRX58Xk5fhwZXF7ExX712nTGciDM6eztMajgyr1uk3lF30k53je3OFonHbs1ZtxAfq+Vw1957ez0PbbNLypnm/0fKHtDwAAACiOXJydNKZXA3X5bKUOnko1nQPgGk1Ytk+9b64gTzdn0ykAChgDbwBwYH/88Ye2bdumZ599VpLUsGFDHTt2TC4uLjlD4rxYuXKl+vXrp27dzq34S05OzjmN+D9CQkIUFxeX8/mePXuUmnrpv9S5ublJkqzWazs1UFpamiZOnKhbbrkl59TkK1eu1NixY9WxY0dJ0qFDh3Ty5Mlcz3N1db1gn3k5PlzZ2p9Z3V3UHDjqqiM3vqJarjsVOO9TWWycqsuR2BMSdc+4s6p3TyO9VnmT7JaC3V+Eb4Q+aPWBXJz4FR8AAAC4XgFebvq8TyN1H7tKyRnZpnMAXIOTyZmatjpGj7eqYjoFQAHjlOYA4CAyMjJ07NgxHTlyRJs2bdI777yjLl26qHPnzurTp48kqW3btmratKm6du2q33//XTExMVq1apVeffVVbdiw4ZLbjoyM1OzZsxUVFaUtW7aoV69estlsuR7Tpk0bjRkzRps3b9aGDRv0+OOPy9XV9ZLbrFChgiwWi+bNm6cTJ04oOTn5sscXHx+vY8eOac+ePZo5c6aaN2+ukydPaty4cbk6v/rqK0VHR2vt2rV64IEH5OnpmWs7FStW1OLFi3Xs2DElJCTk+fhweUf3JOrIrkTTGbgGmWlWRZ2N1LZ7xiq9bkvTOTifzabI79Zp2tJaCrX6FNhuvF299WmbT+Xv7l9g+wAAAABKmmqlffXJ/fVlKeA3rwIoOBOX7VcKb1oBij0G3gDgIBYsWKDw8HBVrFhRHTp00J9//qnRo0drzpw5cnY+d9odi8WiX3/9VbfccoseeughVatWTffff78OHjyo0qVLX3LbH330kQIDA9WsWTPdeeedat++vRo2bJjrMR9++KEiIiLUsmVL9erVS0OGDJGXl9clt1m2bFmNGDFCL730kkqXLq2BAwde9viqV6+uMmXK6MYbb9S7776rtm3bavv27apVq1bOYyZNmqSEhAQ1bNhQDz74oAYNGqTQ0NALOhcuXKiIiAg1aNAgz8eHy1v/ywHTCbhOJ+OztTr4fh3u+Z5sfkGmc3Aej9Vb9dl0L7VKq5Dv27bIovdavqcqAbxjHQAAAMhvbWuW1tD21U1nALhGp1MyNXVVjOkMAAXMYj//gq0AAKBEObb/jH54f6PpDOQjL18X1UpfK7+Fk02n4DwWDw+t6HWDRpXekm/bHNxwsPrX6Z9v2wMAAABwoUEzNmvulqOmMwBcgwAvV614sY183LkEGFBcscIbAIASbv0vMaYTkM9Sk7K1IetG7ew5VplV6prOwX/Y09PVfPJGjdtcXx726/+LdsdKHRl2AwAAAIXgvbvrqk5ZLiEEFEWJqVmasoKzGwLFGQNvAABKsPiDZxX71ynTGSggR+PsWl35CR2/d5js7p6mc/AfQQs2aNqccqqRFXzN26gVVEsjmo3IxyoAAAAAl+Lp5qyJfW5UiI+76RQA1+CLFQd0Nj3LdAaAAsLAGwCAEozV3cWfNcumv06EamPHUUpt3t10Dv7DEr1Xb05K131nalz1c4M9gzW69Wh5uHgUQBkAAACAiwn399SEB2+UmzMvqwNFzZm0LE1mlTdQbPF/ZgAASqgTh5IUs/Wk6QwUkrMJWVrjepv29Rota3gl0zn4mz0hUXeP36F39jWUxZ6357g6ueqT1p+otHfpgo0DAAAAcIGGFQL1TvfapjMAXINJKw7oTBqrvIHiiIE3AAAl1Ia5Xyi03Da5e/GLfkly8KizVtd7Uae6DpHd+fqvIY18YLOp6nfr9OWSmgq1eV/x4cOaDlO9kHqFEAYAAADgYu65MUL9W/BGYqCoSUrP1qTl+01nACgAFrvdnse1JAAAoLg4deSQpj3/lOx2m1zc3BVerbmSE2sqLYVrkZUkQSEuqr7nW3lE/WE6BX+zlCujMfd4aqnnwYve36dWH73Q+IVCrgIAAABwvmyrTQ9PXa9lezhzGlCU+Lq7aPmLrRXg5WY6BUA+YoU3AAAl0LqfvpfdbpMkZWdm6ND2P3T2+EQFl9kgT990w3UoLKdOZGt14N061OsDWQNDTedAkv3wUQ0cf0SDj124grt5meZ69sZnDVQBAAAAOJ+Ls5M+7dVQlYKvfJYmAI4jKSNb01Zd/E3mAIouVngDAFDCnIk/psmDH5PNar3o/U7OLipT/SalptZT6hmPQq6DKZ4+LqqVvVH+CyaaTsHfTrVvpGcbbFe6JVsV/Cpoesfp8nP3M50FAAAA4D/2xSer62crlZSRbToFQB6V8nbTyhfbyNPN2XQKgHzCCm8AAEqY9XN/uOSwW5Js1mwd3rFSCbHjFVR6pXwCUwuxDqakJWdrY3o9Rfccp8zIhqZzICnotw2aNqesblQFfdrmU4bdAAAAgAOqEuqj0T0byGIxXQIgr06nZOrb9bGmMwDkI1Z4AwBQgiSfPqUvBg2QNSsrz8+xWJwUXq2hsq0NdfaUTwHWwVE4OVtUI/ikQue+L6e0ZNM5JV7ZMZ/Kr21b0xkAAAAALuOD33bpsz/3ms4AkEdlAzy19IVb5eLMulCgOOC/ZAAASpAN8368qmG3JNntNh3dtUHxeycqIPgP+YecLaA6OAqb1a4dx4O0sf1HSm51n+mcEi3gvh4MuwEAAIAi4Nm2kWpUIdB0BoA8OpKYpp+3HjWdASCfsMIbAIASIi3prD5/6mFlZaRf97ZKV6ktJ9cmSjgecP1hcHjly9hUcdlouRzeYzqlRHGvFqmK330nJw8P0ykAAAAA8uBoYpo6jl6uxNSre6M5ADOql/bVgsEtZeGaBECRxwpvAABKiE2/zsmXYbckHd+3XXE7J8vX/xeVCjudL9uE44o96qTVNzynk91elM3FzXROiWDx9FTZjz9m2A0AAAAUIWUCPPXBPfVMZwDIo13Hk/TnrnjTGQDyAQNvAABKgMz0NG3+bV6+b/dEzC4djZ4qH5+5CipzIt+3D8eRlWHT1oTy2tr1U6XfeLvpnGIv7PX/k3uVKqYzAAAAAFyldrVKq3+LSqYzAOTRuCX7TCcAyAcMvAEAKAG2Lf5NGSkpBbb9k4f26shfX8nLa7aCyx6XXVwxpbg6fTJbq/y66GCvD2UrFWY6p1jyu+suBXTrZjoDAAAAwDUa2qG66pT1N50BIA/WxyRoQwxnLwSKOq7hDQBAMWezWvXFoAFKOll4K7ADwsrJN6SFThwJl+xcB6m48vB2US37FvnPHycLv1LmC7dKFVVx1iw5e3ubTgEAAABwHQ6eSlGn0SuUnJFtOgXAFbStGaov+jY2nQHgOrDCGwCAYm7X6uWFOuyWpMRjh3Vo20y5Oc9USLlDslgYhhZH6SnZ2pR6g3bcN06ZNW8ynVPkWdzcVPajjxh2AwAAAMVAhSBvvdu9jukMAHmweGe8dh9PMp0B4Dow8AYAoJjb8POPxvZ99kScDm37Xs6WrxUaESOLs81YCwrO8WNWrSrTV0fvf1s2bz/TOUVW6ZdekkfNmqYzAAAAAOSTzvXKqFeT8qYzAFyB3S6NX8q1vIGijFOaAwBQjB3cFqVZb71mOiOHd0ApBZW/RafiKsia7Ww6x5jfNk/XlgMrdDwxVq7O7qocVktdbnpUpQMich7zw6qxWrv7d7m5eKjLTQPUOLJtzn2b9i3Vut2/6/E73jaRf1k+/i6qeXaZfP/8xnRKkeLb/naVGzXKdAYAAACAfJaeZVWXMSu1i9WjgENzdbZo+dA2CvP3MJ0C4BqwwhsAgGJswzxzq7svJiXxtGK3/iRb+lSFRuyRi6vVdJIRe49u1S033KUhXcdoYOf3ZbVZNeaXocrISpMkbYtZpQ17/9BTnd5T15sf1fSlHyo57YwkKS0jWT+vn6QeLQaZPIRLSj6TrfX2Ztrd6zNll69hOqdIcC1bVuFvvmk6AwAAAEAB8HB11pheDeTpWnLf9A0UBVlWu6auijGdAeAaMfAGAKCYOhEbo5iojaYzLiot6Yxit/6srJRJCo2IlptHtumkQvVUp3d1c/UOCi9VUeWCqqj3rUOVkByvQyf2SJKOJcYqskw9VQiprkZV28jDzUunkuIkST+tnaiWte5SKd/SJg/hig4flVbVeEYn7n5FNjd30zmOy8VFZT/6UM5+nAoeAAAAKK4iS/vqjS43mM4AcAXT1x5USkbJeo0KKC4YeAMAUExtdLDV3ReTkZKs2K3zlZ74hULLbS9xg+9/pGemSJK8PHwlSWWDqij2xG6lZiQp9sRuZWVnKsS/rPbFbdOhk3t1a+1uJnPzLDvTpm2nymrLnaOV1qST6RyHFPrcs/KsV890BgAAAIACdm+jCHVrUNZ0BoDLOJuerW/XHzKdAeAaFOjA+9Zbb9XgwYOvezv9+vVT165dr3s7uNCSJUtksViUmJgoSZo6daoCAgJy7h8+fLjq169vpK04Of/rDMdS3H7OL3Y8w4cPV+nSpWWxWPTTTz8V2p+r/+wPhS/59ClFr1hqOiPPMtNSFbvtd6WdnqiQslvk4Z1pOqnQ2Ow2zVr1mSqH1VaZUpUkSbUiGqtxZFu9P/tJfbXkfT3Y+kW5uXho5opRur/lYC3f8bPemNlXH/00SHGnY8weQB4knMrWaq+Oiun1sawh5UznOAzvW25RqX79TGcAAAAAKCRvdq2tSsHepjMAXMbklQdktdlNZwC4Slc18O7Xr58sFosef/zxC+576qmnZLFY1O8/L9rNnj1bb+bD9QhHjRqlqVOnXvd2ruSf4zv/o0OHDjmPudTw5vzhUX4N+/OiYsWK+uSTTy64/fyh18WamjVrpri4OPn7+19020OGDNHixYtzPs+vIdnUqVNzvr7Ozs4KDAzUTTfdpDfeeENnzpy5qm3FxMTIYrEoKirqurscwf/+9z85Ozvrgw8+MJ1yTfI6PB4+fHiun4GIiAg9+uijOn36dMFHnuf8n/OCdvz4cbm6umrmzJkXvb9///5q2LDhNW///OOJjo7WiBEjNGHCBMXFxemOO+7I9z9XL/V9/2d/KHybF/wsm7XorZbOykjXoe2LlXR8okLKbpKnb4bppAL33YrRijsdo4duey3X7Z0a9dXwnl/p1Xu/UL1KLfT75hmqUbahnJ2ctWDT13q2yyg1rdFRX/75rqHyq7f/qJvWNH5NCZ0HyW6xmM4xyiU0VGXe/Z8sTpxwCQAAACgpfNxd9FmvBnJz5u8BgKM6nJCmX7fFmc4AcJWu+v+sERERmjlzptLS0nJuS09P1/Tp01W+fPlcjy1VqpR8fX2vO9Lf3z/XquOC1KFDB8XFxeX6mDFjRqHs+0qysrLyfZtubm4KCwuT5RIvOvv4+CgoKCjf9ytJfn5+iouL0+HDh7Vq1So9+uij+vLLL1W/fn0dPXq0QPZZFEyePFlDhw7V5MmTTacUuBtuuEFxcXGKjY3VlClTtGDBAj3xxBOF3nGln/PMzPxdaVq6dGl16tTpot/jlJQUfffdd+rfv/9Vb9dutys7O/uC49m3b58kqUuXLgoLC5O7u3uh/bn6z/5QuLIy0rV10QLTGdfFmpWpQ9uX6OzRCQoOXydv/3TTSQXiuxWjtf3gGg2680MF+oRc8nHHEmK1fs8idW78kPYc3aKq4XXl6xmghlVa6dDJPUrPTC3E6uuTkWrV5uTq2t5jnDJqtzCdY4aTk8p8OFIupUqZLgEAAABQyGqV8ddrnWuazgBwGV8s3286AcBVuuqBd8OGDRUREaHZs2fn3DZ79myVL19eDRo0yPXY81cUjx07VpGRkfLw8FDp0qV1zz335Nw3a9Ys1alTR56engoKClLbtm2VknLuepYXWz09aNAgDR06VKVKlVJYWJiGDx+ea987d+5UixYt5OHhoVq1amnRokV5OrWuu7u7wsLCcn0EBgZe3Rcpj8aNG6cqVarIzc1N1atX11dffZXrfovFonHjxumuu+6St7e33n777WveV79+/bR06VKNGjUqZ1VtTEzMFU+1/d9Vm8OHD9e0adM0Z86cnG0sWbJEbdq00cCBA3M978SJE3Jzc7vsqlmLxaKwsDCFh4erZs2a6t+/v1atWqXk5GQNHTo053ELFixQixYtFBAQoKCgIHXu3DlngCdJlSqdO/1rgwYNZLFYdOutt0qS1q9fr3bt2ik4OFj+/v5q1aqVNm3adNmvU16eY7FY9MUXX6hbt27y8vJSZGSk5s6dm+sxv/76q6pVqyZPT0+1bt1aMTExl93vP5YuXaq0tDS98cYbOnv2rFatWpXrfpvNpvfff19Vq1aVu7u7ypcvn+vn4vDhw+rZs6dKlSolb29vNWrUSGvXrs25/3I/cxdbKZ+YmJjzfZb+PTX74sWL1ahRI3l5ealZs2batWuXpHMr90eMGKEtW7bk/IxcbhWxi4uLwsLCVLZsWbVt21b33nuvFi5cmOsxX3zxhWrWrCkPDw/VqFFDY8eOzXX/unXr1KBBA3l4eKhRo0b68ccfcx3H+afpl6Sffvop15s8zl+d/M+fOW+//bbKlCmj6tWrS5IOHTqkHj16KCAgQKVKlVKXLl1yfW+XLFmiJk2ayNvbWwEBAWrevLkOHjx40WPv37+/Fi9erNjY2Fy3f//998rOztYDDzwgm82m//3vf6pUqZI8PT1Vr149zZo1K9f+LBaL5s+frxtvvFHu7u5asWLFBf/d3nnnnZIkJyennOM+/8/VK/1svfjii6pWrZq8vLxUuXJl/d///V/Om3Au930//8/dbdu2qU2bNjl/1j/66KNKTk6+4Gs/cuRIhYeHKygoSE899VSBvOGnOPtr6R9KT0m+8gOLAGt2tg7vWKGEQxMUFLZaPgFpV35SEWC32/XditHacmCFBt05UsF+4Zd97MzlH6t708fl7uopm90mq+3c6n2rzSrp3GnRi5oTx61aFdpTR+7/n2w+AaZzClXwU0/Ku3Fj0xkAAAAADOnTtKLa3xBmOgPAJWw5fEZr958ynQHgKlzTuVMefvhhTZkyJefzyZMn66GHHrrsczZs2KBBgwbpjTfe0K5du7RgwQLdcsstks6d8rZnz556+OGHFR0drSVLlqh79+6y2y99nYRp06bJ29tba9eu1fvvv6833ngjZ1BmtVrVtWtXeXl5ae3atZo4caJeffXVaznUAvPjjz/qmWee0fPPP6/t27frscce00MPPaQ///wz1+OGDx+ubt26adu2bXr44YeveX+jRo1S06ZN9cgjj+SsXI+IiLiqbQwZMkQ9evTItQq+WbNmGjBggKZPn66MjH9PO/v111+rbNmyatOmzVXtIzQ0VA888IDmzp0rq/Xci/gpKSl67rnntGHDBi1evFhOTk7q1q2bbLZzL+6vW7dOkrRo0SLFxcXlvBkjKSlJffv21YoVK7RmzRpFRkaqY8eOSkpKuuT+8/qcESNGqEePHtq6das6duyoBx54IOdU3IcOHVL37t115513KioqSgMGDNBLL72Up+OfNGmSevbsKVdXV/Xs2VOTJk3Kdf/LL7+sd999V//3f/+nHTt2aPr06SpdurQkKTk5Wa1atdKRI0c0d+5cbdmyRUOHDs35OuX1Zy4vXn31VX344YfasGGDXFxccn4277vvPj3//PM5K7fj4uJ033335WmbMTEx+u233+Tm5pZz2zfffKPXX39db7/9tqKjo/XOO+/o//7v/zRt2rScY+7cubNq1aqljRs3avjw4RoyZMhVH8/FLF68WLt27dLChQs1b948ZWVlqX379vL19dXy5cu1cuVK+fj4qEOHDsrMzFR2dra6du2qVq1aaevWrVq9erUeffTRS549oWPHjipduvQFbwiYMmWKunfvroCAAP3vf//Tl19+qfHjx+uvv/7Ss88+q969e2vp0tzXZX7ppZf07rvvKjo6WnXr1s1135AhQ3L+vP7ne3Ixl/vZkiRfX19NnTpVO3bs0KhRo/T555/r448/lpT373tKSorat2+vwMBArV+/Xt9//70WLVp0wRtm/vzzT+3bt09//vmnpk2bpqlTpxbKZS2KC7vdrk2/zjGdke9sVquORK/WqZgJKlV6ufyCivZA/7sVo7V+zyL1u+1Vebh66WzqaZ1NPa3M7AtP4b5q56/y8fBXnYrNJEmVw2pr99EoHTi+Q39unaWwwArycvcp7EPIF3abtOuYn9a3eU9JbfuazikUXjc1UfBFLg8EAAAAoGR5/566KhfoaToDwCV8zipvoEhxuZYn9e7dWy+//HLOysWVK1dq5syZOatALyY2Nlbe3t7q3LmzfH19VaFChZwV4XFxccrOzlb37t1VoUIFSVKdOnUu21C3bl0NGzZMkhQZGakxY8Zo8eLFateunRYuXKh9+/ZpyZIlCgs79065t99+W+3atbvisc2bN08+PrlfNH7llVf0yiuvXPG5V2PkyJHq16+fnnzySUnSc889pzVr1mjkyJFq3bp1zuN69ep1xTcT5IW/v7/c3Nzk5eWV8zW5Wj4+PvL09FRGRkaubXTv3l0DBw7UnDlz1KNHD0nnVnz+c030q1WjRg0lJSXp1KlTCg0N1d13353r/smTJyskJEQ7duxQ7dq1FRJy7hSwQUFBubrOH7ZPnDhRAQEBWrp0qTp37nzRfef1Of369VPPnj0lSe+8845Gjx6tdevWqUOHDjmrqD/88ENJUvXq1bVt2za99957lz3us2fPatasWVq9erWkc/+dtWzZUqNGjZKPj4+SkpI0atQojRkzRn37nhsKVKlSRS1anDsd7PTp03XixAmtX79epf4+RWrVqlVztp/Xn7m8ePvtt9WqVStJ54atnTp1Unp6ujw9PeXj45OzcvtKtm3bJh8fH1mtVqWnnztd8UcffZRz/7Bhw/Thhx+qe/fuks6t5t+xY4cmTJigvn37avr06bLZbJo0aZI8PDx0ww036PDhw/lyWnRvb2998cUXOQP4r7/+WjabTV988UXOz/WUKVMUEBCgJUuWqFGjRjpz5ow6d+6sKlWqSJJq1rz06amcnZ3Vt29fTZ06Vf/3f/8ni8Wiffv2afny5Vq4cKEyMjL0zjvvaNGiRWratKkkqXLlylqxYoUmTJiQ8/WXpDfeeOOSf775+PjkrHC/1PfkSj9bkvTaa/9eW7hixYoaMmSIZs6cqaFDh+b5+z59+nSlp6fryy+/lLe3tyRpzJgxuvPOO/Xee+/lDNgDAwM1ZswYOTs7q0aNGurUqZMWL16sRx555JLbxr/2b1qvhLgjpjMKjN1u09Gd6yXLBoVXrS+bGunMyeu/fEphW77j3JlBRv38XK7be9/6gm6u3iHn87Opp/Xbpm/0XNfRObdVDK2h2+reo3HzX5GvZ6AebP1i4UQXoJSz2VqvJirb8yZVXjNWrge2m04qEM4BASrzwQeyODubTgEAAABgmL+nq0bf30D3jF8l26XXfQEwZPHOeO07kawqIUVzkQFQ0lzTwDskJESdOnXS1KlTZbfb1alTJwUHB1/2Oe3atVOFChVUuXJldejQQR06dMg5JXS9evV02223qU6dOmrfvr1uv/123XPPPZc9lfj5qxjDw8MVHx8vSdq1a5ciIiJyDV6aNGmSp2Nr3bq1xo0bl+u2UgVwfcXo6Gg9+uijuW5r3ry5Ro0aleu2Ro0a5fu+85uHh4cefPBBTZ48WT169NCmTZu0ffv2C07znVf/rOz/Z6i4Z88evf7661q7dq1OnjyZs2I5NjZWtWvXvuR2jh8/rtdee01LlixRfHy8rFarUlNTLziF9LU8578/f97e3vLz88v5+YuOjtZNN92U6/H/DCwvZ8aMGapSpYrq1asnSapfv74qVKigb7/9Vv3791d0dLQyMjJ02223XfT5UVFRatCgwSV/XvP6M5cX/z3+8PBzp+GNj49X+fLlr2o71atX19y5c/X/7N13mNTlvf7xe8r23jvsLuwuRaogIAqoYLAbTTTGYznRlF80GqOmWRI90ZhYTjQmsUVNTCzJscSKIopERHrvfdnee53y+wPdiLSZbc/OfN+v6/K6dMvMPbDIfL/383yejo4O/e1vf9O6dev0gx/8QNLB3cC7d+/WNddcc0jR6XK5FBcX1/Oaxo8fr/Dw8J7P+/Jr7Ytx48Ydstt8/fr12rVrl2JiDi3WOjo6tHv3bp155pm6+uqr9ZWvfEXz5s3T3Llzdckll/T8+hzJt771Ld1333368MMPdfrpp+uZZ55Rbm6uTj/9dG3ZskVtbW2HFdldXV2HHR/R1/9PHO9nS5JeeuklPfLII9q9e7daWlrkcrkUGxvr9/NMmDChp+yWDv4Mejwebd++vafwHjt2rBxfKIMyMjK0ceNGP1+Vda1+6zXTEQaH16vynWslrVXaiHGyOU9SQ1Wc6VQ+e/S7Rz/y44tiIxN19+XPH/bxs068UmedeGV/xzKutNyrypHXqWhKmVL/db9sXcF1dnva7bcpJDXVdAwAAAAAQ8Tk4Qn6zqx8PfYRO0mBocbrlZ769179+qJjb84EMDT0aqS5dLCoefbZZ/WXv/zFp1HbMTExWrNmjV544QVlZGTozjvv1IQJE9TQ0CCHw6GFCxfqnXfe0ZgxY/T73/9eRUVF2rt371EfLyQk5JD/ttlsPUVoX0RFRWnkyJGH/PPFAjEmJkaNjY2HfV9DQ0NPCdefvlgMHU1sbOygZjqSa6+9VgsXLlRJSYmeeeYZnX766T279f21detWxcbGKikpSZJ03nnnqa6uTk8++aSWL1/ecyZ1V1fXMR/nqquu0rp16/Twww/rk08+0bp165SUlHTM7/P1ewbi5+/Pf/6zNm/eLKfT2fPPli1b9PTTT0uSIiKOPeLoeJ8/Hrv94P8OvniUwNHOTf7i6/98YUJvXn9oaKhGjhypE044Qffdd58cDofuuusuSeo51/nJJ5/UunXrev7ZtGmTPv30U5+fw263H3Y8gi/nQX/5z15LS4tOPPHEQ7KsW7dOO3bs0De/+U1JB3d8L1u2TCeffLJeeuklFRYWHjNrQUGBTj31VD3zzDPyeDz661//qv/+7/+WzWbref1vvfXWIc+3ZcuWQ87xPlJWfx3vZ2fZsmW6/PLLdfbZZ+vNN9/U2rVrddtttx33z2BvDdT/362gat8eHdi8wXSMQVe5e6Mqtv9ZsfHvKDG9znQc9JGr26PN1elac+4jajv5QtNx+k3M3LmKO8qEGQAAAADWddPcQo1MZQcpMBS9urZEDW0Dcw8UQP/qdeH9+bm1n59r6wun06m5c+fqt7/9rTZs2KB9+/bpgw8+kHSw0Jg5c6buuusurV27VqGhoXr11Vd7la2oqEgHDhxQZWVlz8dWrlzZq8c60mOvXr36kI+53W6tX79ehYWFPj/O6NGjtXTp0kM+tnTpUo0ZM6ZfMknSmjVrDskUGhracy52bx3tMcaNG6cpU6boySef1PPPP9/r88arqqr0/PPP68ILL5Tdbldtba22b9+u22+/XWeccYZGjx6t+vr6wzJJOizX0qVLdcMNN+jss8/W2LFjFRYWppqammM+f2++58tGjx7dc674545X0G7cuFGrVq3S4sWLDyk3Fy9erGXLlmnbtm0qKChQRESEFi068q7A8ePHa926dT1niR8p17F+5j4fDf/FM57XrVt3zNxH0pefs9tvv10PPPCAysrKlJaWpszMTO3Zs+ewRSh5eXk9r2nDhg0949Clw3+tU1JS1NzcrNbW1j69rsmTJ2vnzp1KTU09LM8XF5ZMmjRJP/vZz/TJJ5/ohBNO0PPPH74z84uuueYavfzyy3r55ZdVWlqqq6++WpI0ZswYhYWFqbi4+LDny8nJ8Tv/sRzvZ+uTTz7R8OHDddttt2nKlCkqKCjoOdLic778vo8ePVrr168/5Pdi6dKlstvtKioq6vsLgXV2dx9F1d6tKtv6rGJi31RShn//78bQ01jXrU9D52nPNx+WK613i+iGCkd8vNJ/cafpGAAAAACGoLAQhx742njZ/T8ZEsAA6+j26J+rSkzHAOCDXo00lw6eP7t169aefz+eN998U3v27NGsWbOUkJCgt99+Wx6PR0VFRVq+fLkWLVqkM888U6mpqVq+fLmqq6uPef7tscybN08jRozQVVddpd/+9rdqbm7uOX/2eGdKd3Z2qqKi4pCPOZ3OnpHtP/rRj3TNNddo1KhRmjdvnlpbW/X73/9e9fX1uvbaa33OeOutt+qSSy7RpEmTNHfuXL3xxht65ZVX9P777/v5aqWbbrpJp556qu655x5ddNFFcrvdeuGFF7Rs2TL98Y9/7Pm63NxcLV++XPv27VN0dHSvRrXn5ubq3Xff1fbt25WUlKS4uLie3ZjXXnutrr/+ekVFRemrX/3qcR/L6/WqoqJCXq9XDQ0NWrZsme69917FxcXpvvvuk3TwLN+kpCQ98cQTysjIUHFxsX76058e8jipqamKiIjQggULlJ2drfDwcMXFxamgoEDPPfecpkyZoqamJt16663H3cnam+/5su9973t68MEHdeutt+raa6/V6tWr9eyzzx7ze/785z/rpJNO0qxZsw773NSpU/XnP/9Z999/v37yk5/oxz/+sUJDQzVz5kxVV1dr8+bNuuaaa3TZZZfp3nvv1YUXXqhf//rXysjI0Nq1a5WZmakZM2Yc92cuIiJC06dP13333ae8vDxVVVUdcm6zr3Jzc7V3716tW7dO2dnZiomJUVhYmE/fO2PGDI0fP1733nuvHn30Ud1111264YYbFBcXp/nz56uzs1OrVq1SfX29fvSjH+mb3/ymbrvtNn3729/Wz372M+3bt08PPPDAIY85bdo0RUZG6uc//7luuOEGLV++/Li/H0dy+eWX6/7779cFF1ygu+++W9nZ2dq/f79eeeUV/fjHP1Z3d7eeeOIJnX/++crMzNT27du1c+dOXXnlsUcOf/3rX9cNN9yg7373uzrzzDN7yuyYmBjdcsstuummm+TxeHTKKaeosbFRS5cuVWxsbM9Z2/0hPDz8mD9bBQUFKi4u1osvvqipU6fqrbfeOmxBki+/75dffrl+8Ytf6KqrrtIvf/lLVVdX6wc/+IGuuOKKnnHm6L3Whnpt/2SJ6RhDQvX+HZJ2KCk7XxFxJ6u6LEU2cecgUO0rc6ps8s80JnS7Et54RDZP3xbvmZB2+21yfrawDAAAAAC+bOIwRpsDQ9Xfl+/XtafmHbdbAmBWr3d4SwdHaft6hmt8fLxeeeUVnX766Ro9erQee+wxvfDCCxo7dqxiY2O1ZMkSnX322SosLNTtt9+uBx98UGeddVavcjkcDr322mtqaWnR1KlTde211+q2226TpEPO+j2SBQsWKCMj45B/TjnllJ7PX3bZZXrqqaf09NNP68QTT9T8+fNVUVGhJUuW+FXYXHjhhXr44Yf1wAMPaOzYsXr88cf1zDPPaM6cOX6/3pNPPlnvvPOO3nnnHc2cOVNz5szRJ598okWLFh1yxvUtt9wih8OhMWPGKCUl5ZhnWR/Nt7/9bRUVFWnKlClKSUk5ZMfwZZddJqfTqcsuu+y4v86S1NTUpIyMDGVlZWnGjBl6/PHHddVVV2nt2rU95x7b7Xa9+OKLWr16tU444QTddNNNuv/++w95HKfTqUceeUSPP/64MjMzdcEFF0g6WCLX19dr8uTJuuKKK3TDDTco9TjnZvbme75s2LBhevnll/Xaa69pwoQJeuyxx3Tvvfce9eu7urr0t7/9TRdffPERP3/xxRfrr3/9q7q7u3XHHXfo5ptv1p133qnRo0fr0ksv7Tk7PDQ0VO+9955SU1N19tlna9y4cT1jwiXffuaefvppuVwunXjiifrhD3+oX/3qV3699s/zzp8/X6eddppSUlL0wgsv+PX9N910k5566ikdOHBA1157rZ566ik988wzGjdunGbPnq1nn322Z4d3dHS03njjDW3cuFGTJk3Sbbfdpt/85jeHPF5iYqL+9re/6e2339a4ceP0wgsv6Je//KXfrysyMlJLlizRsGHDdNFFF2n06NG65ppr1NHRodjYWEVGRmrbtm26+OKLVVhYqO985zu67rrr9N3vfve4j/uNb3xD9fX1h01G+J//+R/dcccd+vWvf63Ro0dr/vz5euutt3pef3861s/W+eefr5tuuknXX3+9Jk6cqE8++UR33HHHId/vy+97ZGSk3n33XdXV1Wnq1Kn62te+pjPOOEOPPvpov78eK1q/8G25XS7TMYaU2pI9Ktn8N0WGv6yUrHJJ3uN+D4amrna31jWO1Mav/VGdE+aYjuMXRpkDAAAA8AWjzYGhaV9tm5bsZJIgMNTZvF8+3DZILV26VKeccop27dqlESNGmI4TlPbt26cRI0Zo5cqVmjx5suk4sKh9+/YpLy9Pa9eu1cSJE03HAQaF2+XSk9d/S631nF99LHFpmYpNPVU1pZnyelmVG6hsNmlkequy3vqN7E21puMckyM+XvlvvM7ubgAAAAA+WXegQRf9cak8lrhjDwSOuaPT9NRVU0zHAHAMfdrhPZS9+uqrWrhwofbt26f3339f3/nOdzRz5kzK7gHQ3d2tiooK3X777Zo+fTplNwAMsp0rPqHs9kFjZZkObHxJTvvzSs0pls3hMR0JveD1SjvLo7Ri9r1qOvMa03GOKe2O2ym7AQAAAPhsYk68vjuL+9fAUPPh9iqVNrSbjgHgGIK28G5ubtZ1112nUaNG6eqrr9bUqVP1r3/9y3SsoLR06VJlZGRo5cqVeuyxx0zHAQDLWffuW6YjBJTmmkoVb/g/2d1/U2rOXtmdFN+BqK3ZpVVdk7X1sj+pe8RE03EOEzN3ruLOOcd0DAAAAAAB5odzCxhtDgwxbo9Xzy/fbzoGgGOwzEhzAACC0hFuKQAA5PNJREFUUXXxPv311utNxwhokbHxSs6dpdqKPLm7HabjoBccTpuKEquU+vr9sne0mo7DKHMAAAAAfcJoc2DoSY4O0yc/PV2hzqDdRwoENP5kAn2Um5ur3/3ud6ZjYBBcffXVuvDCC03HOKp9+/bJZrNp3bp1pqP4ZKj/egaKdQveNB0h4LU1Nah4w+tytz2j1JztCgl1mY4EP7ldXm2pStGas/5Xrad+zXQcRpkDAAAA6BNGmwNDT01Lp97ZVG46BoCjoPCGJc2ZM0c//OEPD/v4s88+q/j4+EHPE0gqKir0gx/8QPn5+QoLC1NOTo7OO+88LVq0qF+f52i/R31ls9n02muvHfNrBrs4PtqiiV/+8peaOHHioGT4ch6bzSabzaaIiAjl5ubqkksu0QcffDDoWXBsnW2t2vrxYtMxgkZHS5OKN7ylruY/KzVni0Iiuk1Hgp+a6ru13HGadn/zEbky841kiJk3j1HmAAAAAPqM0ebA0PO3TxlrDgxVFN4AfLZv3z6deOKJ+uCDD3T//fdr48aNWrBggU477TRdd911puOhH919990qLy/X9u3b9de//lXx8fGaO3eu7rnnHtPR8AWbPnxf3Z0dpmMEnc62VhVvWKCOuqeUmr1RYZFdpiPBT/vLHFo27lbVXHirvA7noD2vIz5e6XfeMWjPBwAAACB4hYU49MDXJ8huM50EwOdW7qvXtoom0zEAHAGFN3AMn49cfuCBB5SRkaGkpCRdd9116u4++q6/p556SvHx8T07nufMmaMbbrhBP/7xj5WYmKj09HT98pe/POR7iouLdcEFFyg6OlqxsbG65JJLVFlZKUlqbGyUw+HQqlWrJEkej0eJiYmaPn16z/f/7W9/U05OjqT/7E5+5ZVXdNpppykyMlITJkzQsmXL+vzr8f3vf182m00rVqzQxRdfrMLCQo0dO1Y/+tGP9Omnn/r0eqT/7Fx+7rnnlJubq7i4OH3jG99Qc3OzpIO/7h999JEefvjhnp3G+/btk9vt1jXXXKO8vDxFRESoqKhIDz/88GE5n376aY0dO1ZhYWHKyMjQ9dcfPN84NzdXkvTVr35VNput57+/LC8vT5I0adIk2Ww2zZkz55DPH+vnobOzU7fccouysrIUFRWladOmafHixf7+Uh/VU089pdGjRys8PFyjRo3SH//4x6N+7eLFi2Wz2fTWW29p/PjxCg8P1/Tp07Vp06bjPk9MTIzS09M1bNgwzZo1S0888YTuuOMO3Xnnndq+fXvP123atElnnXWWoqOjlZaWpiuuuEI1NTU9n/+///s/jRs3ThEREUpKStLcuXPV2nrk83VXrlyplJQU/eY3v/HjV8S6vF6v1i98y3SMoNbd0a7ijQvVWv2kUrLWKiKq03Qk+KG706MNDbnacNEf1DF57qA8J6PMAQAAAPQnRpsDQ89zy9jlDQxFFN7AcXz44YfavXu3PvzwQ/3lL3/Rs88+q2efffaIX/vb3/5WP/3pT/Xee+/pjDPO6Pn4X/7yF0VFRWn58uX67W9/q7vvvlsLFy6UdLDAvuCCC1RXV6ePPvpICxcu1J49e3TppZdKkuLi4jRx4sSe0nTjxo2y2Wxau3atWlpaJEkfffSRZs+efUiW2267TbfccovWrVunwsJCXXbZZXK5en8ubV1dnRYsWKDrrrtOUVFRh33+81Hwx3s9n9u9e7dee+01vfnmm3rzzTf10Ucf6b777pMkPfzww5oxY4a+/e1vq7y8XOXl5crJyZHH41F2drb++c9/asuWLbrzzjv185//XP/4xz96HvdPf/qTrrvuOn3nO9/Rxo0b9frrr2vkyJGSDhaqkvTMM8+ovLy857+/bMWKFZKk999/X+Xl5XrllVd6Pne8n4frr79ey5Yt04svvqgNGzbo61//uubPn6+dO3f6+St+uL///e+68847dc8992jr1q269957dccdd+gvf/nLMb/v1ltv1YMPPthTKJ933nnHXLRxNDfeeKO8Xq/+9a9/SZIaGhp0+umna9KkSVq1apUWLFigyspKXXLJJZKk8vJyXXbZZfrWt76lrVu3avHixbrooovk9XoPe+wPPvhA8+bN0z333KOf/OQnfmezoradNZqQM1eRkXGmowQ9V1enDmz6UE2VTyglc5UiYyi+A0lttUvL4r6q4ssekDsxbcCeh1HmAAAAAAbCD+cWqIDR5sCQ8draUjV3cAweMNQM3oxHIEAlJCTo0UcflcPh0KhRo3TOOedo0aJF+va3v33I1/3kJz/Rc889p48++khjx4495HPjx4/XL37xC0lSQUGBHn30US1atEjz5s3TokWLtHHjRu3du7dnl/Zf//pXjR07VitXrtTUqVM1Z84cLV68WLfccosWL16sefPmadu2bfr44481f/58LV68WD/+8Y8Pec5bbrlF53x24/2uu+7S2LFjtWvXLo0aNapXvw67du2S1+s97vf78nqkg8X4s88+q5iYGEnSFVdcoUWLFumee+5RXFycQkNDFRkZqfT09J7Hdjgcuuuuu3r+Oy8vT8uWLdM//vGPnpL1V7/6lW6++WbdeOONPV/3+XOmfLbrLj4+/pDH/bLPvy4pKemwrzvWz0NxcbGeeeYZFRcXKzMzU9LB34cFCxbomWee0b333nvU5/zJT36i22+//ZCPdXV1acyYMT3//Ytf/EIPPvigLrroop7Xv2XLFj3++OO66qqrjvrYv/jFLzRv3jxJBxdfZGdn69VXX+35NfNVYmKiUlNTtW/fPknSo48+qkmTJh3yup5++mnl5ORox44damlpkcvl0kUXXaThw4dLksaNG3fY47766qu68sor9dRTTx22MAJH1/5ptdKqM3R+zvfVntyp9QcWaV/xetOxgpq7u1sHNi+R3bFUmUXT1N42Qa2NEaZjwQder7SrPEKlM+7WGM8axb3zeL8+viM+Xum/uLNfHxMAAAAApIOjze//+gRd9Mel8hy+hwDAIGvtcuuVNaW66uRc01EAfAE7vIHjGDt2rBwOR89/Z2RkqKqq6pCvefDBB/Xkk0/q448/Pqzslg4W3l/0xcfYunWrcnJyesphSRozZozi4+O1detWSdLs2bP18ccfy+1266OPPtKcOXN6SvCysjLt2rXrsLHbX3zOjIwMSTos9+e+973vKTo6uuefIznSrtwj8eX1SAfHi39edn+e8Wj5vugPf/iDTjzxRKWkpCg6OlpPPPGEiouLe15fWVnZIbvr+9uxfh42btwot9utwsLCQ349P/roI+3evfuYj3vrrbdq3bp1h/zzve99r+fzra2t2r17t6655ppDHvtXv/rVcR97xowZPf+emJiooqKiQ34v/OH1emWzHTw8av369frwww8PyfP5gojdu3drwoQJOuOMMzRu3Dh9/etf15NPPqn6+vpDHm/58uX6+te/rueee46y2w+uxk51bKuVJHm7PAovC9E0x3xdOu02TZ90kZzOUMMJg5vH7VbJlk9UV/y4ktKWKjqxzXQk+Ki91aXV7eO15RuPqatoar89btodt8uZnNxvjwcAAAAAX8Roc2Bo+dunjDUHhhp2eMOSYmNj1djYeNjHGxoaFBd36HjgkJCQQ/7bZrPJ4/Ec8rFTTz1Vb731lv7xj3/opz/96WGP68tjHMusWbPU3NysNWvWaMmSJbr33nuVnp6u++67TxMmTFBmZqYKCgqO+pyfF5RHe867775bt9xyyzEzFBQUyGazadu2bT7nPpbe/Jq8+OKLuuWWW/Tggw9qxowZiomJ0f3336/ly5dLkiIiBn6n5bFyt7S0yOFwaPXq1YeU4pKOupDgc8nJyT2j1z+XmJjY8++fj69/8sknNW3atEO+7svPNVBqa2tVXV3dc8Z5S0uLzjvvvCOeuZ2RkSGHw6GFCxfqk08+0Xvvvaff//73uu2227R8+fKexxgxYoSSkpL09NNP65xzzjns1xdH1rqiQjrSH5cql4arQLlFt6gprlGrdr2tqqq9g57PKrwej0q3LZdsK5RRMFlu72Q11cQc/xthXEWFW1XZ/62iiecr7fXfyN7e0uvHYpQ5AAAAgMHww7kFen9rpXZW9f76BUD/2FnVomW7azVjRJLpKAA+ww5vWFJRUZHWrFlz2MfXrFmjwsJCvx/vpJNO0jvvvKN7771XDzzwgF/fO3r0aB04cEAHDhzo+diWLVvU0NDQM846Pj5e48eP16OPPqqQkBCNGjVKs2bN0tq1a/Xmm28edn63v1JTUzVy5Mief44kMTFRX/nKV/SHP/xBra2th32+oaHB59fji9DQULnd7kM+tnTpUp188sn6/ve/r0mTJmnkyJGH7G6OiYlRbm6uFi1adNTHDQkJOexxj/Tcko77dV82adIkud1uVVVVHfLrOXLkyGOOUPdFWlqaMjMztWfPnsMe+/Py+Gg+/fTTnn+vr6/Xjh07NHr0aL8zPPzww7Lb7brwwgslSZMnT9bmzZuVm5t7WKbPz3m32WyaOXOm7rrrLq1du1ahoaF69dVXex4zOTlZH3zwgXbt2qVLLrmkV2eLW43X7VXryopjf02bWzHl0Tot+hJ97eSfaeLYM2Wz8Vf+gPF6Vb5jtap2Pqn4pEWKT20ynQg+8Li92lqZqFVnPqTW2d/o1WMwyhwAAADAYPl8tLndZjoJAIld3sBQw91vWNL/+3//Tzt27NANN9ygDRs2aPv27XrooYf0wgsv6Oabb+7VY5588sl6++23ddddd+l3v/udz983d+5cjRs3TpdffrnWrFmjFStW6Morr9Ts2bM1ZcqUnq+bM2eO/v73v/eU24mJiRo9erReeumlPhfevvrDH/4gt9utk046SS+//LJ27typrVu36pFHHukZm+3r6zme3NxcLV++XPv27VNNTY08Ho8KCgq0atUqvfvuu9qxY4fuuOMOrVy58pDv++Uvf6kHH3xQjzzyiHbu3Kk1a9bo97///SGPu2jRIlVUVBw2XvtzqampioiI0IIFC1RZWXnEaQBHUlhYqMsvv1xXXnmlXnnlFe3du1crVqzQr3/9a7311ls+v/ajueuuu/TrX/9ajzzyiHbs2KGNGzfqmWee0UMPPXTM77v77ru1aNEibdq0SVdffbWSk5N7SuujaW5uVkVFhQ4cOKAlS5boO9/5jn71q1/pnnvu6VkUcd1116murk6XXXaZVq5cqd27d+vdd9/Vf//3f8vtdmv58uW69957tWrVKhUXF+uVV15RdXX1YWV7amqqPvjgA23btk2XXXaZXC5Xn36dgl37llp5mrp8+2Kv5Cj3qKhtki6d8HPNnX6NYmJTBjagxVXsWq+K7U8pLuFdJaQ1mI4DH7Q0dmu57VTt/OajcuUU+fW9jDIHAAAAMJgYbQ4MHe9tqVBVU4fpGAA+Q+ENS8rPz9eSJUu0bds2zZ07V9OmTdM//vEP/fOf/9T8+fN7/binnHKK3nrrLd1+++2HlKzHYrPZ9K9//UsJCQmaNWuW5s6dq/z8fL300kuHfN3s2bPldrsPOat7zpw5h31sIOXn52vNmjU67bTTdPPNN+uEE07QvHnztGjRIv3pT3/y6/Uczy233CKHw6ExY8YoJSVFxcXF+u53v6uLLrpIl156qaZNm6ba2lp9//vfP+T7rrrqKv3ud7/TH//4R40dO1bnnnuudu7c2fP5Bx98UAsXLlROTo4mTZp0xOd2Op165JFH9PjjjyszM1MXXHCBz7mfeeYZXXnllbr55ptVVFSkCy+8UCtXrtSwYcP8ev1Hcu211+qpp57SM888o3Hjxmn27Nl69tlnj7vD+7777tONN96oE088URUVFXrjjTd6drEfzZ133qmMjAyNHDlSV1xxhRobG7Vo0SL95Cc/6fmazMxMLV26VG63W2eeeabGjRunH/7wh4qPj5fdbldsbKyWLFmis88+W4WFhbr99tv14IMP6qyzzjrs+dLT0/XBBx9o48aNuvzyy/3eXW8lrSvKe/V93sZuJVUm6+y0a/TVmbeocMT0fk6GL6rcs1nl255WTOxbSsyoNR0HPjhQZtMno3+o6ot+Jo/z2P+PlKSomSczyhwAAADAoLvhjAJlJwz8sX4Ajq3b7dULKw4c/wsBDAqb1+v1mg4BAOh/ixcv1mmnnab6+nrFx8ebjoN+4KptV8UDq6T++ps7OURl3t1asel1dXYcflQB+k9SzgiFx85QbVmq6SjwQUJyiEbtf0URKxcc+QtCQpT/+r8UdpwFRwAAAAAwEN7bXKHvPLfadAzA8tJjw/XxT06T08HeUsA0/hQCABAgWldV9l/ZLUk13cqsHaav5t2o82beqKws/892h29qD+xW6ea/KSLiZSVnVcjbr7+R6G/1Nd1aFn2e9n/zIbmTMg77fNLVV1F2AwAAADDmzLHpmlPIkWWAaRVNHXp/a6XpGABE4Q0AQEDwur0HC++BeOwOtyLLwnVK6Pm6ZMbPNXXC+XI4nAPyXFZXX7ZfJZueV0ToP5WSXSbZKL6HLK+0uyxMy6f9QvXnXCevzSZJcqanK/l73zMcDgAAAIDV/eL8sQplVylg3HOf7jcdAYAYaQ4AQEBo31yr2ue2DNrz2aKdaoip1cptb6q2rmTQntdqYlPSFZ9xqqpLs+T1cKNiKEtNc6hww7PK+84lij3rLNNxAAAAAEAPvLddj36wy3QMwNJsNun9H83WiJRo01EAS6PwBgAgANQ8u1kd2+oG/4ntNrnSvdpWu1ybty0e/Oe3iOjEFCVmn6qasmHyuCm+h6qc0Yk6/8aJpmMAAAAAgCSpvcutuQ99pNKGdtNRAEv71sw83XneGNMxAEvjjioAAEOcq7FTHTsMlN2S5PHKWSad0DlN35h8u06bdpWiohLMZAliLXXVKt7wiuT6q1JzdssR4jYdCV9it9t0yiUFpmMAAAAAQI+IUIfuOJeSDTDttXWl6nZ7TMcALI3CGwCAIa5tVaU0BN4ze+u7lVqVrvOyvqcLTvmR8nInmY4UdNoa6lS84V/ytD+r1JwdcoZSfA8VE+bmKDEjynQMAAAAADjE/BPSNasg2XQMwNLqWrv0wbYq0zEAS6PwBgBgCPN6vWpdXWk6xiG83R6Fl4boJNuZuvSk2zRj8tcUEhJuOlZQaW9uVPGGN9Xd8mel5mxVaLjLdCRLi4oP1ZSzc03HAAAAAIAj+uX5YxXisJmOAVjay6tLTEcALI3CGwCAIaxzd4PcdR2mYxxdtUvD6kfo4oIf6eyZ1ys9bYTpREGls7VFxRveUUfDU0rN2aTQiG7TkSxp5sUFCg13mo4BAAAAAEeUnxKtb5+abzoGYGkfbq9SXWuX6RiAZVF4AwAwhLWuHFq7u4/G2+5WTFmUZkd9TV8/+WeadMJ82Wy8zegvXe1tKt7wntprn1Rq9nqFR3EBNViyihJUMDXNdAwAAAAAOKbrTx+pjDimrwGmdLu9en1dqekYgGVxJxoAgCHK09at9s01pmP4xyvZyz0qbJ2gS8f/THNnXKu4OMrC/tLd2aHijYvUXPmEUrJWKyKm03SkoGa32zTr0gLTMQAAAADguCJDnbrj3DGmYwCW9vIaCm/AFJvX6/WaDgEAAA7XsqxMDf/abTpG3zlt6kp1a0vlx9q+a5npNL2yu7pWi7ftUWl9o5o6OnX1zBN1QlZ6z+cXb9utD7fvkSSdNmqE5hT9Z5Tc/tp6vbJmk244Y6Yc9v5da2h3OJVZNF1tbePV1shK/v42cW6OZn6NwhsAAABA4Pivp5br410BtngeCCLv3TRLhWkxpmMAlsMObwAAhqjWVYExzvy4XF6Fltk10T1L35hyu2ZN/abCw6NNp/JLl8utzPhYfXXyCYd9rqyhSe9u3qH/mj5J/zV9khZs2q7yhiZJktvj0curN+niE8f1e9ktSR63SyVbPlZ98WNKSvtEMQlt/f4cVhUZG6qp5+SZjgEAAAAAfrnr/LEKcdhMxwAs6+XVJaYjAJZE4Q0AwBDUXdmq7tIW0zH6nbe2Wxk1Obow9wc6b+YPlZM11nQkn4zOSNVZ44o0Ljv9sM9VNbcoIy5WBWnJKkhLVkZcrKqaWyVJi7fvUX5KooYlxg9oPq/Ho9Jtn6pm7xNKTF2i2KTWAX0+K5j5tZEKjXCajgEAAAAAfhmRGq1rTmHxLmDKa+tK5fYwWBkYbBTeAAAMQa2rg2R391F4Oz2KLAvTyaHn6pLpP9dJE86XwxGY5WJGXIyqW1pV39quutY21TS3KD0uWjUtrVq5t0TzTygatCxer0dl21epavcTik/+QHEpTYP23MEksyBehScdvrgBAAAAAALBD04vUHosx14BJlQ2dXKsAGBAYN5ZBgAgiHk9XrWtrTIdY9DYKt3K02jljxmnhpg6rdz+pmprD5iO5bO02BiddUKRnliyXJJ01rhRSouN0eOLP9W5E0Zpe0W13tu8Qw67XRdMGqMRKUkDH8rrVcXOdZLWKW3EONmdJ6m+Km7gnzcI2Ow2zfpGoekYAAAAANBrUWFO3X7OaF3/wlrTUQBLenl1iWYXppiOAVgKhTcAAENMx456eZq7TccYdN4Wl+JaYjU3/nK5i7zaXr9SG7d9KHmH/hiok0cO18kjh/f898p9JQoLcWp4UoJ+885i3Tj3FDW2t+vvy9bq5+ecJqfDMWjZKndvlLRRqbmj5YiYpvqKxEF77kA0/rRsJWUF1hnzAAAAAPBl507I1PMrivXJ7lrTUQDLeW9LhZo7uhUTHmI6CmAZjDQHAGCIWbZ7tfaOaFF32NAvegeExytHuTSmY6q+Mek2nT7tKkVHJ5hO5bPWzi4t3LxDF04aq+LaBqXERCklJkojU5Pl9npV3WzmfO2qfVtVvvVZRce8oaRMRmsdSWRsqKaey1l3AAAAAILDXeePldNuMx0DsJyObo/e2lBuOgZgKRTeAAAMIR0dHfpk7XItKl2uv4cs0ccj9qsip1MeuzXLb299t1Kq0nVO5vd0wcyblZ93oulIx/WvdVs0qzBP8ZER8ni9cnv+83vn8XjkMbxjvaZ4p0o3/1WRka8qOatKXlnzZ+tIZlw0QmERDEACAAAAEBwK0mL03zNZ1AuY8PKaEtMRAEvhjh4AAEPI5s2b5XK5JEkul0vbSndpm3YpOiFaoxLzlF+fqNgaC/713e1ReJlTUzVXU0+arwPuHVq14U11dbcPytN3drtU0/Kfndl1LW0qrW9UZGioEqIiej6+o6Ja1c2t+sZJEyRJOYlxqmpu0dbyKjW2dchmsyk1ZmiMy64r3au60r2KT89RTMopqi5Jl2Tdlf/JOdEqOinddAwAAAAA6FfXnz5SL60qVlO7y3QUwFJW7qvX/tpWDU+KMh0FsASb1xsAB2MCAGARz7z6riq2rVVnZ8dRvyY9OU1F4TkaVharsDbrFpS2CIeaE5q0evcCVVTsGtDn2lVVq8cWf3rYx6fkZveU290utx5a+G/91/RJykqI6/ma5XuKtWDTDjnsdl00eazGZKYNaNbeikvNUGzaqaopzZLXa72fq3N/MEHDxyaZjgEAAAAA/e6xj3brvne2mY4BWM4NZxToR/MKTccALIHCGwCAIaKkvk2n/vZDhTmks7I9yrPXqqGiWB6P54hfb7fblZ8+XAXuDKWXhMvhtl5JKUmySZ40u3Y1r9W6ze/J6z3yrxd8E5OUqvisU1VTliOv2xqn32QVxuvCH002HQMAAAAABkRHt1uz7/9QlU2dpqMAlpKTGKElt54mm82i9+yAQUThDQDAEPGHD3fp/ne3H/Kx9EibzszsUlJnueqrK4/6vRHhESpKyVN+c7ISK0IGOuqQZYt1qjaySiu3vqGGhgrTcQJaVEKSknJOVW35cLldDtNxBtTFPz5R6flxx/9CAAAAAAhQL6wo1s9e2Wg6BmA5L31nuqblM1EOGGgU3gAADBHzHvpIO6tajvr5sUk2zUpsk6PxgFqaGo/6dUnxiRoVk6vcylhFNAV3UXlUDpu609zaUrVM23Z+bDpNQIuIjVdK7izVVeTJ1R18P0/5E1N01vfGmY4BAAAAAAPK5fbozP9doj01raajAJZyyZRs/fZrE0zHAIIehTcAAEPA5rJGnfOIb8WszebV7Ay7JkQ1qKNqvzo7jzySzGazaVhatgrtWcoqiZSzy5rjk2xJISqz7dWKTW+oo73JdJyAFR4do9T8WaqvGqnuzuAovm026Rt3TlNiRpTpKAAAAAAw4N7eWK7v/32N6RiApUSHObXytrmKCA2OeynAUEXhDQDAEHDv21v1xJI9fn9fhFOan+1Vnr1aDRUHjnred2hoqApS8zSyPVXJZSGyea1XftvC7GpLbte6fe+ruGST6TgBKzQiUukFp6qhukhdHU7Tcfpk9MkZOv3K0aZjAAAAAMCgueDRj7W+5OhT4wD0v99dOlEXTsoyHQMIahTeAAAY5vF4dfJ9H6iiqaNPj5MeadNXMruU2FGu+pqjn/cdGxOr0fF5yqtNUHSdNVeXetMc2texRas3vi23u8t0nIAUEh6u9IJT1FQ/Wp2tgXduvMNp1+V3T1dMYrjpKAAAAAAwaD7ZXaNvPrncdAzAUk4tSNZz10wzHQMIahTeAAAY9smuGn3zqf692Dx43nerHA0H1NJ89DHeWSkZKgzNVk5pjEI7LLjrO8qpxtg6rdrxjqpr9pmOE5CcoaHKKDxZLU1j1d4cZjqOzybNG6aTLx5pOgYAAAAADLor/rxc/95ZYzoGYBl2m7T0p6crIy7CdBQgaFF4AwBg2K3/XK9/ri4ZkMc+eN63TROiGo953rfD4dDI9FyN7E5XWkmY7B6Lld92yZ1m046GVdqwdZHE2yO/OZxOZRTOUHvbOLU2Du1d06HhDl3xq5MVHh14O9MBAAAAoK82lTbq3N9/bDoGYCk/nl+k789h4T0wUCi8AQAwqKPbram/el/Nna4Bf64Ip3RWjke5tppjnvcdFRmloqQ8jWhIUlx1YJ/R3Bu2+BBVh5VoxaY31NxSazpOwLE7HMooPEmdnRPVUj80Vy5PvyBfJ56VazoGAAAAABjzg+fX6I0N5aZjAJYxNjNWb91wqukYQNCi8AYAwKC3N5br+39fM+jPm/HZed/xHeVqOMZ536mJKRoVOVzDymMU3mofxIRDQIhdnald2lS6RLv2rjSdJuDYbHZlFk1RV/ckNddFmY7TIzI2VP/1PzMUEmbN8+sBAAAAQJL21rRq3kMfyeWhHgAGy0e3ztHwpKFzjwQIJhTeAAAY9O2/rtLCLUcvnAfDCYnSrOR22euLj3ret81mU176cBUqQxkHIuRwWWzkebJTJZ5dWrnxDXV1tZlOE1hsNmUUTJLHO0WNNdGm02j2ZYU6YXa26RgAAAAAYNztr27U35YXm44BWMZP5o/S/5szwnQMIChReAMAYEhje7em/up9dbmPPFp8sNlsXs3JsGl8VKPaq/ar6yjnfYeHhaswNU8jWlKUVG6tM5BtEQ61JDRrzZ53VVa+w3ScgJM2YrxszqlqqIoz8vxxqRG67BfT5HBYbFoBAAAAABxBVVOHZt3/oTq6h8Z9CSDYjc+O0+vXn2I6BhCUKLwBADDk5dUluvmf603HOKKoEOkr2cc/7zshLkGjYnOVVxWvyEYLlYg2yZNm157WDVq7aYE8HrfpRAElNW+MnOHTVFeRMKjPe+a1Y1UwJW1QnxMAAAAAhrLfLtimPy7ebToGYBkf/+Q0ZSdEmo4BBB0KbwAADLn2L6v0/laz48x9kRklnZnRfdzzvnPSslTkyFZWaZRCOq0z8twW41RdVLVWbH1DDQ3lpuMElJThhQqNmqHa8qSBf65hMfr6T6fIZrfOzyYAAAAAHE9Te7dO/e2HamzvNh0FsITbzh6tb8/KNx0DCDoU3gAAGNDW5dKkuxeq0xVYY8PGJdl0SmKrHA0Hjnred0hIiEam5aqgM00pJaGyeS1SMDps6k7zaGv1Mm3d8W/TaQJKUna+wuNOVk1ZimwamJ+X826YqGFjEgfksQEAAAAgkD3+0W79+p1tpmMAljBpWLxe/f5M0zGAoEPhDQCAAW9tKNd1z68xHaPXbDavTsu0aXxEg9qq9qurq+uIXxcTHaNRCXnKr0tQTK1zkFOaY0sMUbljn1Zuel1tbUdeGIDDJWQOV1TiTNWUpkn9WHxnFyXogpsm9dvjAQAAAEAw6eh267QHFqu8scN0FCDo2WzSJz89XRlxEaajAEGFwhsAAAOuf36N3twQHOOvo0Kk+dkeDVe1GipLjnred0ZyuorCczSsNFqh7ebP+/70wDo9vvxFbajcrqqWWj351Xs0v/DUns8/tvwFPbbiBUnS/5v2TX33pG/0fG5t2Rbd9t5Dev3Kx+S0H73It4Xa1ZbSofX7F2n/gQ0D92KCTFxalmJTT1F1aabUDxMCvvbTKUrLje2HZAAAAAAQnF5aeUA/eZnrVmAw3HnuGH3rlDzTMYCgYv5uMwAAFtPpcmvx9mrTMfpNa7f08l67HtqbpgW2E6XsiYpPTj3s68prKrS4ZKX+bl+iJfl7VTa8Qx6HuXV37V0dGp06Qr+ad9Nhn9tatVsPfvy0/nD+L/Toeb/Q/f9+Slurd0uSXB6Xfvbug7r3Kzcfs+yWJG+XRxGloZruPEuXTrtN0yZ9VU5n6IC8nmDSWFmqAxtfUqj9eaXkFMtm7/3o/xGTUyi7AQAAAOA4Lp6cpREp0aZjAJbwzqbg2AQDDCXWmS0KAMAQ8fHOGrV0ukzHGBBlrdKzu0IkDdf4pFydktQqW32xWpube77G7XZrR9ke7dAeRcZGqig5T/lNSUqoDBnUrKeNmK7TRkw/4ud21e7X6JQRmjn8REnS6JQR2l1brNEpI/TY8hc1LWe8JmaM9u8Jq1zKVaHyRo1RY2y9Vu18W9XV+/r4KoJbU02lmmr+T9GJyUrMOVU15cPlcfm3XvOk8/IHKB0AAAAABA+nw66b5hbo+hfWmo4CBL3V++tV1dSh1Nhw01GAoEHhDQDAIHtnU4XpCINiQ61XG2ojZbcVaU6mTeMjG9RWeeh5323tbVp7YLPWSkrJSFZR9HANr4hVRLPZITSjUvK1p/6ASpsq5fV6tbfugIqS87SvvlT/2Pi23r7qqV4/trfVpdjWGJ0ee6ncBTbtbFyt9Vvelzhl5qha6mrUUveqIuMSlJo7S7XluXJ3O477fXkTk5WYETUICQEAAAAg8J01LkO5723Xvto201GAoObxHrw/eNXJuaajAEGDM7wBABhELrdHU+55Xw1t3aajGPHF877rKw7oSG9DbDabctNyVGDLVFZJpBzdfT/D+XhyfjPrsDO8n1v7Lz216h+SpGunXKIrJl2gy168SVdNvkhuj1sPLX1GIXanfjn3B5qeM7FPz2+LD1F1WJlWbH5dzc01fXosK4iIiVVK3izVVY6Qq+voxTdndwMAAACAf15YUayfvbLRdAwg6E3LS9RL351hOgYQNNjhDQDAIPp0T51ly27pP+d9S2nKjErXVzK6FNdRpoaaqp6v8Xq92ltRrL0qVlhkmApT8jSiLUVJ5SGyeQe+/P7cFZMu0BWTLuj5739ufEdRoZE6MWus5jz5X3rzysdV3lyt616/S5989yWF9eFsbm9Dt5KVorPTr1XXeJc2lS/Rzj0r+uNlBKX25iYVb3hTYVHRShtxihqqC9XVcejb2uyiBMpuAAAAAPDTRZOz9Lv3d6iyqdN0FCCordxXp5qWTiVHh5mOAgQFs/NCAQCwmAWby01HGDLKWr16ZleIflcyXGuiTlJkzlhFRccc8jWdnZ3aWLJNr9X9Wy+nrNamglq1JLgHPWtdW4N+t/RZ/c/cG7W2bIvyErOVl5ijk4dPlsvt0p76A/3zRC6vQsscmuw9TZdOvU2nTPmGQkMj++exg1Bna4uKNyxQe/2TSsneqLDI/ywmmTx/uMFkAAAAABCYwpwOXXtqvukYQNDzeKUFFjn2EBgMFN4AAAwSr9er9zZXmo4xJG2o9eqPOyP1p9oiHUieqvjsAoWGHrpjuqGpUZ8eWKcX2xdrwbCt2juiRd3hnkHJd9cHj+raqZcoIzZVbq9HLvd/Sne3xy2PZwBy1LiUVTtcF434oc6deYOyMov6/zmCRHdHuw5sXKjW6ieUkrVOOaPClTM60XQsAAAAAAhIl500THERIaZjAEHvnU1sjAH6CyPNAQAYJKv316uqmZFgx+Lx2rSoRFqkeEWHxGt+tkfDjnDed0lVmUpUJqfTqZEjczWyM02ppWGye3wfed7a1aZ99aU9/32gsVybK3cqPiJWWbFpPR9fsnel9tQd0P+e83NJ0sT0UdpVt18f7v5UZc1Vstsdyk8c1g+v/si8HW5FlUXolPAL5Znh0N7W9VqzaYE8nsHf6T7Uubo6dWDTB7rglpNNRwEAAACAgBUd5tTVJ+fq4UU7TUcBgtryPXWqa+1SYlTvj8kDcJDN+8W7xwAAYMD86s0teurjvaZjBKTsaJvmpXcqrr1cDbVVR/ya6KhojUrKU35domJrjr+mb1nxWl3ywo2HffxrJ8zvKbfbuzs1/9lv6Y/n/1Jj0wp6vuaF9W/q/n8/pVBHiO4580c6Y8SMXr6y3rHFOFUfXa2VW99UXX3ZoD73UJeYma2rH/yjbHYGGQEAAABAb9W1dmnmfR+ovZvF1sBAuu+icfrGSQO3kQKwCgpvAAAGySm/+UAl9e2mYwS8ick2zUxsleqK1drSfMSvSUtK1aiIYRpWFquwNt93fQcch02uNK+21izTlu1LTKcZEr7y/27UCXPmmY4BAAAAAAHv7jc26+ml+0zHAILarMIU/fVbJ5mOAQQ8Cm8AAAbBptJGnfv7j03HCCp2m1enZ9l0QniDWqv2q7ur6/CvsduVnz5cBZ4MpR8I13MrX9Xjy19UdWudRqeO0N1zb9SkzDGSpLsWPap/bnpHkSHh+tns7+qrY8/seZw3t32olze9q2e+dt+gvT5/2RJDVOHYrxWbXldbW6PpOEbEJCXrmkeelMPJWXMAAAAA0FdlDe2aff+H6nZTIQADJcRh06rb5ikuknsZQF9whjcAAINgwaYK0xGCjsdr0/sl0vufnfd9VrZbOao55Lxvj8ejXWV7tUt7tWPvDv3zw3/qzq/dpJlR4/TnVf/UFf+4RYu//XetLd+if219X3+/5EHtrS/RLe/cp9l5JykxMl5NnS367ZIn9cI3/tfwKz42b1230pSp83O+r/aUDq0v/kD7itebjjWoppx7EWU3AAAAAPSTzPgIXTgpS/9cVWI6ChC0ut1evbelQl+fkmM6ChDQONwQAIBB8M6mctMRglpLt/TPvQ49tDdNCx1TZc+eoPiklEO+ZsmSJZo0aZLcRZHafEK9rrzuWwoLDddLG9/Srtr9mp4zURMyRunCMXMVExql4saDv2f3fvgnXTHpQmXFppl4aX7zdnkUXhqqaY75unTabZo+6SI5naGmYw24iJhYjTv9zON/IQAAAADAZ9+bPUK2ID4pDBgK3t7IfUOgryi8AQAYYLuqmrW7utV0DMsoafHq6V2h+l1prtbHnKSonDEKC49QWVmZ8vPzJUm1DXVaVrpOGflZWlC/QknjsrWhcrsaOpq1oWK7Olydyk3I1oqSDdpYuVPfOvFiw6+ql6pcGt5QoK8V3aKzT75Oqal5phMNmElnna+Q8HDTMQAAAAAgqIxIidb8semmYwBBbemuWjV1dJuOAQQ0RpoDADDAGGduztpqr9ZWR8nTki6v16v0vFEKCQ3tOe87KipK+/fvV1Nit0ZMKtLc57+lGGeEHjrnZ4oMCdfP331QD53zcz239jU9s+YVJUbE6b6v3KqilMAqjr1tbsW0Reu06EvkHmnXrsbVWr/lfXm9HtPR+kVIeIQmfeVc0zEAAAAAICh9f85IvcO9DWDAdLk9en9LpS6anG06ChCwKLwBABhgXBSa5/EenL/2Ukm0kvNGa36WW9ne6kO+5tRTT9Wpp54qSWqOidSdS57QtFEnKsTu1CPLntPCbz2r93d9opveukdvX/3UoL+GfuGVHOUeFWmSRk04STXh5Vq+5XU1N1Uf/3uHsAnzzlJ4dLTpGAAAAAAQlMZlx+nUgmT9e2eN6ShA0Hp/K4U30BeMNAcAYAAdqGvT5rIm0zEszxEZK9nscrc2qLnr4Hnf/7svXbvaIhSdknnYed979u7ROx8vVNapBfpz8zsaO2qMYhLjdN6o07SxcodaOtsMvZL+423sVlJlss5Ou0ZfnXmLCkdMNx2pVxxOp048+wLTMQAAAAAgqH1/zkjTEYCg9u+dNXK5g2MSH2AChTcAAAOIceZDg80RotD0kerYv77nY16vR7W71qkybswh531HRkbpzTff1JlnnqnQ0FDVNzWoorVGf3d8pCXD90iSum0uUy+l/7m8Ci1zaJJnti6dertOnXKZwsKjTKfy2dg5cxWdmGQ6BgAAAAAEtRkjkjQpJ950DCBoNXe4tHp/vekYQMCi8AYAYAC9u5nCe6iInXqhmte/q5aNi9Rdc0B17/5R3u4ORY+bK+nged9/2Bml335YLHtClqadcY5CQkI0bNgw7d27V/v379dzr7yglJQULUjfrDUFlWpMCaLiW5JqupVZO0xfzbtR5828UVlZo00nOiabza6p511sOgYAAAAAWML3TxthOgIQ1D7cHthHzgEm2bxer9d0CAAAglF9a5dO/NVCefibdshoWv2Gmla8IndrvUJT85U497sKyyzq+by7tV7lf71Z6f91v5wxSYoJlc7K9mjjG3/WR4veU1RUlC688EJlZWX1fE9qYoqKooZpeHmswluCby2hN82hve0btWbTO3K7h1bBP+rkWTrnxh+bjgEAAAAAluDxePWV3y3RzqoW01GAoDQqPUYLfjjLdAwgIFF4AwAwQP61rlQ3vrjOdAz0k2Ex0rz0LkW3lqqxruawz9tsNuWlD1OBMpVxIEJOl81AyoFji3aqPqZGq7a9pdq6EtNxJElX/Pb3Sh2eZzoGAAAAAFjGK2tK9KN/rD/+FwLolU9/dobS48JNxwACDoU3AAAD5Ef/WKdX1pSajoEBMDnFphkJLfLWFqut9fCV7eFh4SpMzdWIllQllYcYSDiA7Da50r3aVrtcm7ctNhYjb9IUXfTTXxp7fgAAAACwom63R6c9sFgl9e2mowBB6b6LxukbJw0zHQMIOBTeAAAMAK/Xq5PuXaTq5k7TUTCAnHbp9CyvxoY1qKVyv7q7uw/7moS4BI2KHa68qnhFNjoMpBw4toQQVYYc0IpNr6u1tX5Qn/vrd9yjYSdMGNTnBAAAAABIf/54j/7nza2mYwBB6Stj0/T4FVNMxwACDoU3AAADYFNpo879/cemY2AQxYZKZ2W7leWpUn1lqY70FmtYWpYKHdnKKo1SSGfwjDy3hdjVntqpDSUfau++tQP+fIlZ2frvhx4b8OcBAAAAAByusb1b0+59Xx3dHtNRgKATHebU2jvnKcRhNx0FCChO0wEAAAhGS3ZWm46AQdbUJb20xyEpQ8NjMjU3vfOw876LK0tVrFKFhIaoICdXIzrTlFoSKps3sMtvb7dH4aUhOsl2pk466WwVu7Zr1cY31d3dMSDPN/HMcwbkcQEAAAAAxxcXEaILJmbppZUHTEcBgk5Lp0sr99Xp5BHJpqMAAYUd3gAADIBLH1+m5XvrTMfAEHBiik0z4lvkqTvyed8x0TEalZCn/LoExdQGz1pEW4RDTQlNWrPrHVVU7u63x3WGhel7j/1VYZFR/faYAAAAAAD/MNkOGDjfnZWvn5092nQMIKBQeAMA0M9aOl2adPd76nbzVyz+w2mXzsiSxoTVH/W874zkNBWFD9Ow0miFtgfJ6Cqb5Em3a2fTGq3fvFBeb99G3o2fO1/zvn19P4UDAAAAAPTWV/+wVGsPNJiOAQSdwrRovXfTbNMxgIASPNuIAAAYIpbuqqHsxmFcHundA9K7SlBsaMJn531Xq76ypOe87/KaSpWrUg6HQ/n5w1XgzlB6SZjs7gAeee6V7OUeFWmiRo2foprISq3c/Loam6p69XAT5p3dzwEBAAAAAL3xXzOGU3gDA2BHZYvKGtqVGR9hOgoQMNjhDQBAP/v5qxv1/PJi0zEQIIbH2DQ3vUPRrWWHnPf9uciISBUl5yq/KVkJlSEGEg4Ap01dqW5tqfxY23ct8/nbMotG67K77x/AYAAAAAAAX3V2uzXt14vU0Hb4BDMAfXPPV0/Q5dOGm44BBAwKbwAA+tkpv/lAJfXtpmMgAE1JsWl6Qos8tfvV1tp62OeTE5I0Knq4civiFN4cHCPPbUkhKrXt0cqNr6uj4/Azzr/o7B/cotGnzBmcYAAAAACA4/r121v1+JI9pmMAQWfu6DQ9ddUU0zGAgEHhDQBAP9pV1aK5D31kOgYC3H/O+65TS2XxYed922w25ablqMCWqaySSDm6A3jk+WdsYQ61Jrdp3d6FOlC6+bDPR8TE6jt/+oucIUGyyx0AAAAAgsD+2lbNeWCxaBmA/hUV6tDaO89UqDM4NjwAA40zvAEA6EdLdlSbjoAg8J/zvhMVH5akr2S5lOWpUn1lqbxer7xer/ZWFGuvihUaEaqi4fnKb0tRcnmIbN7ALL+9nW5Flobp5NBz5Z1+gfa1b9LqTW/L7XZJksad8RXKbgAAAAAYYoYnRWl2YYoWb+d+CNCfWrvcWrG3TqcUJJuOAgQECm8AAPrRRxTe6GcNnV69tMchKUO5sZmam9apqJYSNdbXSpK6urq0sWSbNmqb4lPiNCouT7k18Yqud5gN3ge2SrfyNFr5Y8apIaZWK3e8rfFnzDcdCwAAAABwBFdMH07hDQyAxdurKLwBHzHSHACAftLR7dbEu99TR7fHdBRYwNRUm6bFNctdW6z2tsPP+85OzVRRSI6ySyMV0hHY46/CxyQp+coxpmMAAAAAAI7A7fFq9v0fqqS+3XQUIKiMSInSopvnmI4BBAR2eAMA0E+W762j7MagWVnl1cqqaDntYzQ3y6vRYfVqrtgvl+vgCPCSqjKVqExOp1MjR+SqoDtNKSVhsnsCb+R59LR00xEAAAAAAEfhsNt0+bRh+s2C7aajAEFld3WrDtS1KScx0nQUYMgL7O0+AAAMIR8xvgsGuDzSggM2/e+uRP1f92R1ZE5WYnq2bLaDxbbL5dK20l16o2qp/pGwXGsLqtSU4jKc2neOxHCFFSSYjgEAAAAAOIavT8lRqIO6Aehvi7dXmY4ABAT+BgIAoJ98tIM3oDCrodOrF/c49NC+DH0YMlXOnPGKS0jq+XxLa6tWH9iofzR/pDeyNmrHyEZ1Rg3tqQTR0zJkswfernQAAAAAsJLk6DCdPS7DdAwg6Cxmgw3gE0aaAwDQD0ob2rW7+vBzlAFT9jV59VRTmKR8nZSWr5NiWw4577uytkqVqpLdbld+/nAVeNKVXhIhh2sIlctOmyKnpJlOAQAAAADwwRUzhuu1daWmYwBB5ZPdtep0uRXmdJiOAgxpFN4AAPQDxpljKFtRKa2ojFaIfYzmZns1KvQ/5317PB7tKturXdqr8OhwFaXkaURLihLLQ0zHVuT4FDmizOcAAAAAABzficMTNCYjVlvKm0xHAYJGe7dby/fUaVZhiukowJDGSHMAAPoB48wRCLo90jvFB8/7frl7kjozJyshLavn8x0dHVp/YKteqV+iV9PXaktBndrizI08j57OODwAAAAACCT/NX246QhA0GGsOXB8Nq/X6zUdAgCAQOZyezTp7oVq7nSZjgL0yog4m05P7VBkS4ka6+sO+/zw9BwV2rOUVRIpZ9fgjDwPyYpW2g8mDcpzAQAAAAD6R2unS9PvXcQ9EqAfjcmI1ds3nmo6BjCkMdIcAIA+Wr2/ngs5BLTdjV7tbgyTNELT0kbqpNhmuWr3q72tTZK0v+KA9uuAQsJCVDgsTyM7UpVcGiqbd+DKb3Z3AwAAAEDgiQpz6uITs/XsJ/tMRwGCxraKJjW2dysugmPfgKNhpDkAAH300Q7GCiF4LK/06vc7o/VUw1hVpk5RQla+nM6DayS7u7u1uWSH/lXzsf6ZvEobCqvVkuju9wy2cIciJnA2FQAAAAAEIsaaA/3L45VW7D18Ih+A/6DwBgCgj/69s8Z0BKDf9Zz3vTvp4HnfWZMOOe+7qblJK4o36MW2xXo7Z7N2j2xWV3j/nJQTdWKa7KGOfnksAAAAAMDgGpkaren5iaZjAEFl+Z5a0xGAIY2R5gAA9EFzR7c2lzWajgEMqPpO6YXdTkmZGhGXddh532XVFSpThRwOh0aMyFWBK11pB8Jk9/Ru5HnkpNR+TA8AAAAAGGwXTc7Wp3vYkQr0l+Xs8AaOicIbAIA+WLW/Xp7+2dQKBIQvnvc9PW2kpsY2y1WzX+3tbXK73dpRuls7tFtR8ZEqSspXfmOS4qt8f8vpTIlQaHbMwL0AAAAAAMCAm39Cuu54bZM6XR7TUYCgsKW8Sc0d3YoJ5xxv4EgovAEA6IOVrK6EhX1a6dWnldEKsY/VvGyvikLq1FxZLJfLpda2Nq1p26Q1klIzk1UUOVzDK2IV3nLsE3XY3Q0AAAAAgS82PERnjE7V2xsrTEcBgoLb49WqffU6bRT3TYAj4QxvAAD6YAWFN6Buj/T25+d9uyapK3PyIed9V9XV6N8lq/V392J9kLdLB/La5HIeeTRC5ISUwYoNAAAAABhAX52UdfwvAuCzTznHGzgqdngDANBLHd1ubSjh/G7gi+o7pOf3OPSf877bFdFcqqaGOnm9Xu0p36892q+wqDAVpeZpREuKkspDJUmhw2PlTIow+wIAAAAAAP1idmGq4iND1NDWbToKEBQ+ZeMNcFQU3gAA9NK6Aw3qcnMWFXA0B8/7Dpc0QjPSRmhKbLNcNcVqb29TZ2enNhzYpg3apoS0eI2KzdO0SSNMRwYAAAAA9JNQp13njsvQ35YXm44CBIXNpY1q7XQpKoxqD/gyRpoDANBLnN8N+G5ZpfT7nTF6qnGsqlOnKCErX07nwQu0+sYGLS9dr9BR8WZDAgAAAAD61QWMNQf6jcvj1ar99aZjAEMSy0AAAOilFfsovAF/dXukt4ptektJSghP0tlZLqW6KpUaH6PIyEjT8QAAAAAA/ejEYQnKTohQSX276ShAUPh0T61mF6aYjgEMOezwBgCgF9wer9awohLok/oO6e+7nfrf/VnKnDjHdBwAAAAAQD+z2226kF3eQL9ZvqfWdARgSKLwBgCgFzaVNqq1y206BhAUYsKcmjYy1XQMAAAAAMAAuHAihTfQXzaWNqqde5LAYSi8AQDohZWMMwf6zfxx6QoPcZiOAQAAAAAYACNTo3VCVqzpGEBQ6HZ7tZqpk8BhKLwBAOiF5XspvIH+8lXG2wEAAABAUOO6D+g/y/cy1hz4MgpvAAD85PV6tYod3kC/SI8N17S8JNMxAAAAAAAD6LzxmbLbTKcAgsOnnOMNHIbCGwAAP+2salF9W7fpGEBQOH9iphzc9QAAAACAoJYaG66ZI5NNxwCCwvoDjero5hxv4IsovAEA8NMKxpkD/YaxdgAAAABgDRdy/Qf0iy63R2uKOccb+CIKbwAA/EThDfSPorQYjc6INR0DAAAAADAIvjI2XeEhVBJAf1i+h/uTwBfxtwsAAH5ayfndQL9gdzcAAAAAWEd0mFNnjkk3HQMICpzjDRyKwhsAAD8cqGtTeWOH6RhAUDhvYqbpCAAAAACAQcRYc6B/rDvQoE4X53gDn6PwBgDAD4wzB/rH9PxEZcVHmI4BAAAAABhEpxYkKzEq1HQMIOB1ujxaV9xgOgYwZFB4AwDgBwpvoH+wqh8AAAAArCfEYdd5E5j2BfSH5dynBHpQeAMA4AfO7wb6LtRh19knZJiOAQAAAAAw4EKOtwL6Bfcpgf+g8AYAwEfVzZ3aU9NqOgYQ8GYXpSg2IsR0DAAAAACAAZOGJSg7gSOugL5af6BBXq/XdAxgSKDwBgDAR6yaBPrHmWPSTEcAAAAAABjEdSHQd00dLu2rbTMdAxgSKLwBAPAR53cDfWezSaeNSjUdAwAAAABg0BmjKbyB/rChpMF0BGBIoPAGAMBHq/ZTeAN9NSknQcnRYaZjAAAAAAAMOikvUbHhTtMxgIC3/kCj6QjAkEDhDQCADzpdbm2vaDYdAwh488awuxsAAAAArC7EYdecIq4Pgb5ihzdwEIU3AAA+2FberG6313QMIODNZWwdAAAAAEDS3NEU3kBfbS5rktvDPUuAwhsAAB9sLGU8ENBXw5MiVZAWYzoGAAAAAGAImF2UKqfdZjoGENDau93aUclUSoDCGwAAH2wsofAG+ord3QAAAACAz8VFhGhqXqLpGEDAY6w5QOENAIBP2OEN9B2FNwAAAADgi+ZxnQj02Xo26gAU3gAAHE9Ht1s7qxgNBPRFbIRTU3ITTMcAAAAAAAwhZ3CON9Bn7PAGKLwBADiubRXN6nZ7TccAAtppRakKcfDWEwAAAADwH8OTolSYFm06BhDQtlc0q9PlNh0DMIq7jgAAHMdGVkkCfcaYOgAAAADAkXD8FdA33W6vtpQ1mY4BGEXhDQDAcXB+N9A3TrtNs4pSTMcAAAAAAAxB88ZQeAN9tYFzvGFxFN4AABzHxlJWSAJ9MS0/UbHhIaZjAAAAAACGoAnZ8UqODjUdAwho65lQCYuj8AYA4Bg6ut3aWdlsOgYQ0BhPBwAAAAA4GrvdptNHcd0I9AU7vGF1FN4AABzD1vImuTxe0zGAgEbhDQAAAAA4lnljUk1HAALanuoWtXS6TMcAjKHwBgDgGDi/G+ibUekxykmMNB0DAAAAADCEzRyZrDAndQXQWx6vtJFd3rAw/gYBAOAYeKMI9M3cMezuBgAAAAAcW2SoU6cUJJuOAQQ0zvGGlVF4AwBwDOzwBvpm7ijG0gEAAAAAju8MzvEG+mQDhTcsjMIbAICj6Oh2a2dVi+kYQMBKiQ7T+Ox40zEAAAAAAAHgjNEsmAb6Yv0BNu7Auii8AQA4is1lTXJ7vKZjAAHrjNGpstttpmMAAAAAAAJAWmy4JmTHmY4BBKzShnbVtnSajgEYQeENAMBRbGKcOdAnnN8NAAAAAPAH15FA32wo4X4mrInCGwCAo+D8bqD3wpx2zRyRbDoGAAAAACCAnDGKseZAX6znHG9YFIU3AABHsZEVkUCvTR6WoIhQh+kYAAAAAIAAMio9VvGRIaZjAAGLHd6wKgpvAACOoL3LrV3VLaZjAAFren6i6QgAAAAAgABjt9s0LS/JdAwgYDGxElZF4Q0AwBFsKW+U2+M1HQMIWNNHcIMCAAAAAOC/GVxPAr1W3dyphrYu0zGAQUfhDQDAETDOHOi9MKddE7PjTccAAAAAAAQgJoYBfbO9otl0BGDQUXgDAHAEGxj/A/Ta5OEJCgvh/G4AAAAAgP8KU2OUwDneQK/tqOKYRlgPhTcAAEewpazJdAQgYM3IZ/wcAAAAAKB37HabpnNdCfTazkp2eMN6KLwBAPgSt8erPdWtpmMAAYsbEwAAAACAvuC6Eui9HRTesCAKbwAAvmR/bau63B7TMYCAFOa0a0JOnOkYAAAAAIAANmMEhTfQWzsrGWkO66HwBgDgS3Zyzg3QaycOT1CYk/O7AQAAAAC9V5gWo8SoUNMxgIBU29ql2pZO0zGAQUXhDQDAl+yi8AZ6jVX4AAAAAID+MD0/0XQEIGDtYJc3LIbCGwCAL6HwBnqPc9YAAAAAAP1hRn6y6QhAwNpZxTnesBYKbwAAvoTCG+id8BC7xmdzfjcAAAAAoO/Y4Q303o5KCm9YC4U3AABf4PV6tbuawhvojSnDEzm/GwAAAADQLwrSYpQczTneQG8w0hxWQ+ENAMAXlDa0q63LbToGEJAYZw4AAAAA6E9cZwK9s5Md3rAYCm8AAL6AceZA7zFuDgAAAADQnyi8gd6pb+tWdXOn6RjAoKHwBgDgCyi8gd6JCHFofHa86RgAAAAAgCBC4Q30Hru8YSUU3gAAfAGFN9A7U3ITFOrkrSUAAAAAoP+MTI1WSnSY6RhAQNpB4Q0L4a4kAABfsJPCG+gVVt0DAAAAAAYCx2cBvbOD+5ywEApvAAC+gB3eQO/MoPAGAAAAAAyAGSO43gR6g5HmsBIKbwAAPlPV3KHG9m7TMYCAExHi0LjsONMxAAAAAABBaBoLrIFe2VHJxh5YB4U3AACfYXc30DtTcxMU4uBtJQAAAACg/41IiVZKDOd4A/5qbO9WVVOH6RjAoODOJAAAn6HwBnqH8XIAAAAAgIHEMVpA77DLG1ZB4Q0AwGcovIHemTwswXQEAAAAAEAQmzyc606gN3ZwjjcsgsIbAIDP7GTFI+A3m00akxlrOgYAAAAAIIiNy4ozHQEISBTesAoKbwAAPrOrmsIb8Fd+cpRiwkNMxwAAAAAABLExGbGy20ynAAIPhTesgsIbAABJjW3dqm7uNB0DCDgnsMoeAAAAADDAIkIdKkiNMR0DCDg7OcIRFkHhDQCApF3VrHYEeoOxcgAAAACAwTAum+tPwF/NHS5VNHaYjgEMOApvAADE+d1Ab1F4AwAAAAAGAxPGgN7ZV9tqOgIw4Ci8AQCQtIvxPoDfbDZpTGas6RgAAAAAAAtgwTXQO8W1baYjAAOOwhsAAHGeDdAb+clRigkPMR0DAAAAAGABYzJiZbeZTgEEnv117PBG8KPwBgBA0u5qCm/AX4yTAwAAAAAMlohQhwpSY0zHAALOfnZ4wwIovAEAludye1Te2GE6BhBwGCcHAAAAABhM47K5DgX8VVxH4Y3gR+ENALC88sYOuT1e0zGAgEPhDQAAAAAYTEwaA/xH4Q0roPAGAFheSX276QhAwLHZpDGZsaZjAAAAAAAshIXXgP8a2rrV2N5tOgYwoCi8AQCWV1LPKkfAX/nJUYoJDzEdAwAAAABgIWMyYmW3mU4BBJ5izvFGkKPwBgBYXmkDO7wBfzFGDgAAAAAw2CJCHRqZGm06BhBw9te1mo4ADCgKbwCA5THSHPAfY+QAAAAAACaMz443HQEIOPvZ4Y0gR+ENALA8RpoD/qPwBgAAAACYwMQxwH+MNEewo/AGAFgeI80B/9hs0pjMWNMxAAAAAAAWxAJswH/FdRTeCG4U3gAAS3N7vKpo7DAdAwgo+clRigkPMR0DAAAAAGBBYzJiZbeZTgEEFgpvBDsKbwCApVU0dajb7TUdAwgojI8DAAAAAJgSEerQyNRo0zGAgFLR1CGX22M6BjBgKLwBAJZWWs84c8BfjI8DAAAAAJjEdSngH7fHq3KmXCKIUXgDACytpJ5xPoC/uLEAAAAAADBpXHa86QhAwCltYOMPgheFNwDA0tjhDfjHZpPGZMaajgEAAAAAsDAWYgP+K+E+KIIYhTcAwNJ4owf4Jy8pSjHhIaZjAAAAAAAsbExGrOw20ymAwMLGHwQzCm8AgKWVNDDSHPBHYXqM6QgAAAAAAIuLCHUoJzHSdAwgoHC0I4IZhTcAwNJY2Qj4Jz85ynQEAAAAAACUx/Up4BcmXSKYUXgDACzL6/WqrKHDdAwgoHBDAQAAAAAwFLAgG/BPaQOFN4IXhTcAwLKqmjvV5faYjgEEFApvAAAAAMBQkJccbToCEFDKG9vl8XhNxwAGBIU3AMCyOLcG8B+FNwAAAABgKOD6FPBPt9urymamXSI4UXgDACyLc2sA/8RGOJUUHWY6BgAAAAAAykuh8Ab8xf1QBCsKbwCAZfEGD/DPCMbFAQAAAACGiIzYcIWHUHEA/ijlfiiCFH8bAAAsi8Ib8A+r5wEAAAAAQ4XdbmOsOeCn8kZGmiM4UXgDACyLM7wB/3AjAQAAAAAwlHCdCvinpqXTdARgQFB4AwAsq7SBHd6AP7iRAAAAAAAYSvI4egvwC4U3ghWFNwDAssoovAG/5FN4AwAAAACGEK5TAf9UN1N4IzhReAMALKm+tUsd3R7TMYCAksuNBAAAAADAEJKfwnUq4A92eCNYUXgDACyptrXLdAQgoGTEhSsy1Gk6BgAAAAAAPTh6C/APO7wRrCi8AQCWVMtqRsAv3EQAAAAAAAw18ZGhSogMMR0DCBgN7d1yuZl6ieBD4Q0AsCR2eAP+4Vw0AAAAAMBQlJccbToCEDC8Xu6LIjhReAMALIkd3oB/8jgXDQAAAAAwBHGON+AfxpojGFF4AwAsqaaFlYyAP/JZMQ8AAAAAGIKYSAb4p5qNQAhCFN4AAEuqbeWNHeAPzvAGAAAAAAxFTCQD/FPDDm8EIQpvAIAl1XFWDeAzp92m7IQI0zEAAAAAADgMC7QB/7DDG8GIwhsAYEmMNAd8NzwpUk4HbxsBAAAAAENPbhKFN+CPmmbuiyL4cOcSAGBJtaxkBHzGankAAAAAwFAVHuJQVjxTyQBfscMbwYjCGwBgSbWMNAd8lp8SbToCAAAAAABHlc853oDPOMMbwYjCGwBgOS63R43t3aZjAAGD8XAAAAAAgKGMyWSA72rY4Y0gROENALCcutYueb2mUwCBIzuB0XAAAAAAgKErk5HmgM8YaY5gROENALCcmhbGmQP+SIkJMx0BAAAAAICjSuW6FfBZY3u3ut0e0zGAfkXhDQCwnDrO7wb8khYbbjoCAAAAAABHxXUr4Duvl7HmCD4U3gAAy6lt5Q0d4KsQh02JUaGmYwAAAAAAcFTs8Ab8U9PMhiAEFwpvAIDlMNIc8F1qDKvkAQAAAABDGzu8Af+wwxvBhsIbAGA5tbyhA3zGKnkAAAAAwFAXGxGiMCd1B+Cr6mbujyK48DcAAMByatnhDfgsNZbCGwAAAAAw9HH9Cviumg1BCDIU3gAAy+EMb8B3jDQHAAAAAASCNK5fAZ+xwxvBhsIbAGA5nOEN+I4V8gAAAACAQMD1K+A7zvBGsKHwBgBYTl0rhTfgq7RYVsgDAAAAAIY+rl8B33HkI4INhTcAwHJqWcEI+Cw1hhXyAAAAAIChj+tXwHfNnd2mIwD9isIbAGApHd1utXa5TccAAgYr5AEAAAAAgSCV61fAZ62d3B9FcKHwBgBYCufTAP5JYYU8AAAAACAAsMMb8F1zh8t0BKBfUXgDACylvpVxPYCvnHabEiNDTccAAAAAAOC4UmPY4Q34qoWR5ggyFN4AAEtp7uDNHOCrlJgw2e020zEAAAAAADiutFh2eAO+6uj2yO3xmo4B9BsKbwCApTR3Mq4H8BXj4AAAAAAAgSI+MlRhTioPwFctjDVHEOH//gAAS+GNHOC7tFjGwQEAAAAAAkcKC7cBnzUz1hxBhMIbAGApLezwBnzGDm8AAAAAQCDhHG/Ad62dbtMRgH5D4Q0AsBQKb8B3qezwBgAAAAAEEM7xBnzXwg5vBBEKbwCApVB4A75L5UYBAAAAACCAsHAb8F0zRz8iiFB4AwAshTO8Ad8xCg4AAAAAEEg4mgvwHSPNEUwovAEAlsIOb8B3jIIDAAAAAAQSrmMB3zHSHMGEwhsAYCmM6gF8x8p4AAAAAEAgYVIZ4DvukyKYUHgDACyllR3egM8SIkNNRwAAAAAAwGeJUVzHAr5ipDmCCYU3AMBSGGkO+CY8xC6ng7eKAAAAAIDAERXmNB0BCBiMNEcw4S4mAMBSKLwB30RzkwAAAAAAEGCiwxymIwABg/ukCCYU3gAAS2GkOeAbVsUDAAAAAAIN17KA71oYaY4gQuENALCU9i7eyAG+iArlJgEAAAAAILBEhjpls5lOAQSGlg5GmiN4UHgDACylvZvCG/BFFGPgAAAAAAABiAXcgG8YaY5gQuENALCMLpdHLo/XdAwgIDAGDgAAAAAQiFjADfimuYPCG8GDwhsAYBmMMwd8x4p4AAAAAEAg4noW8E1rF4U3ggeFNwDAMhhnDviOHd4AAAAAgEDE9SzgmxZ2eCOIUHgDACyjjVWLgM+iGQEHAAAAAAhA0RTegE9aO9kchOBB4Q0AsIw2RpoDPovkBgEAAAAAIABFsoAb8EmX26NOF/dLERwovAEAltHBSHPAZ9GceQYAAAAACECc4Q34jrHmCBYU3gAAy2CHN+A7zjwDAAAAAAQiRpoDvutweUxHAPoFhTcAwDLa2eEN+CyKEXAAAAAAgADEAm7Ad26313QEoF9QeAMALKOdHd6Az7hBAAAAAAAIRCzgBnzn8rDDG8GBwhsAYBns8AZ8x5lnAAAAAIBAxAJuwHduDzu8ERwovAEAltHFmTSAz6JZEQ8AAAAACEAs4AZ856LwRpCg8AYAWAYrFgHfRbIiHgAAAAAQgBhpDviO+6UIFhTeAADL8Hh5Awf4ihFwAAAAAIBAxPUs4Dt2eCNYUHgDACyDwhvwXTQ3CAAAAAAAAYjrWcB3bg9HQCI4UHgDACyDBYuA7yJDGQEHAAAAAAg8XM8CvnO5uWGK4EDhDQCwDM6kAXwT5rQrxMHbRAAAAABA4GGkOeA77pciWHAnEwBgGV5GmgM+4eYAAAAAACBQMdIc8B1neCNYUHgDACzDzZE0gE8Y/wYAAAAACFRc0wK+Y4c3ggWFNwDAMjzs8AZ84rTbTEcAAAAAAKBXnHZqD8BX7PBGsOD//AAAy6DwBnxjt1F4AwAAAAACE2u4Ad+5PYzERHCg8AYAWAaFN+AbO3cHAAAAAAABimtawHfs8EawoPAGAFgGZ3gDvuHeAAAAAAAgUDG1DPAdZ3gjWFB4AwAsw8sOb8An3BwAAAAAAAQqB6u4AZ+53NwvRXCg8AYAWAYrFgHfUHgDAAAAAAAEP+6XIlhQeAMALIP3b4Bv6LsBAAAAAIGMTd6AbzjDG8GCwhsAYBkeRpoDPmGHNwAAAAAgkHFdC/jG7fGYjgD0CwpvAIBlUHgDvmElPAAAAAAgkFF4A75hhzeCBYU3AMAyOJMG8A03BgAAAAAAgYzLWsA33C9FsKDwBgBYBu/fAN/YuDMAAAAAAAhgLOQGfMMObwQLCm8AgGV4eAMH+IT7AgAAAACAQMZRXYBv2OGNYEHhDQCwDM7wBnzDHxUAAAAAQCCjwwN843LzhwXBgcIbAGAZblo8wCde/qwAAAAAAAIYmx4A33C/FMGCwhsAYBm8fwN8w40BAAAAAEAg47IW8I2T+f8IEhTeAADL4EwawDf8UQEAAAAABDIWcgO+CXFQEyI48JMMALAMLnYA3/BnBQAAAAAQyLiuBXwT4mCHN4IDhTcAwDK41gF8w58VAAAAAEAgY3IZ4Bt2eCNY8JMMALAMJysWAZ8w/h8AAAAAEKg8XNMCPqPwRrDgJxkAYBmhvIEDfMLoNwAAAABAoOKaFvAdG4QQLLjzDwCwjFAnf+0BvmAxPAAAAAAgUHFNC/iODUIIFvwkAwAsI8zpMB0BCAheVsMDAAAAAAIU17SA79jhjWBB4Q0AsAx2eAO+YfwbAAAAACBQscMb8B1neCNY8JMMALAMCm/AN91u7g4AAAAAAAJTt9tjOgIQMBhpjmDBTzIAwDLCKLwBn7R2uUxHAAAAAACgV7imBXzHSHMEC+78AwAsg8Ib8E1rJzcHAAAAAACBqbXTbToCEDAYaY5gwU8yAMAyGGkO+Kbb7VWnixsEAAAAAIDA08IibsBnIezwRpDgzj8AwDI4kwbwXRsr4gEAAAAAAaiNkeaAz9jhjWDBTzIAwDLY4Q34jjPPAAAAAACBiGO6AN9ReCNY8JMMALAMCm/Ad4yAAwAAAAAEohYmlgE+Y6Q5ggV3/gEAlhHmdJiOAAQMRpoDAAAAAAJRGwu4AZ+xwxvBgp9kAIBlsMMb8B07vAEAAAAAgYjrWcB3TgpvBAl+kgEAlhHKGzjAZ5zhDQAAAAAIRFzPAr5jpDmCBXf+AQCWwQ5vwHetrIgHAAAAAASgVo7oAnzGBiEEC36SAQCWEUbhDfiMGwQAAAAAgEDEAm7Ad4w0R7DgJxkAYBkU3oDvuEEAAAAAAAhEXM8CvmOkOYIFd/4BAJbBSHPAdy3cIAAAAAAABKAWJpYBPguxc78UwYGfZACAZVB4A75r6+IGAQAAAAAg8LR1sYAb8IXDbpPdzg5vBAfu/AMALCOUM2kAnzECDgAAAAAQiJhYBviGceYIJtz5BwBYBju8Ad9xgwAAAAAAEIhYwA34JiLEYToC0G+48w8AsIwwJ2/iAF8x0hwAAAAAEIhauZ4FfBITHmI6AtBvKLwBAJYR6rTLxqQewCfs8AYAAAAABCJ2eAO+iQl3mo4A9BsKbwCApYRwjjfgE24QAAAAAAACjcfjZWIZ4KNYdngjiHDXHwBgKZGhjDUHfMEObwAAAABAoGnt4loW8BU7vBFMKLwBAJbCykXAN6yIBwAAAAAEGq5lAd9xhjeCCYU3AMBS4iJ4Iwf4gpHmAAAAAIBAw7QywHfs8EYwofAGAFgKhTfgm06XR10uj+kYAAAAAAD4jMXbgO9iuU+KIELhDQCwlNgIVi4Cvqpt7TQdAQAAAAAAn9W0dJmOAASMWHZ4I4hQeAMALIUd3oDvqpoovAEAAAAAgaOqucN0BCBgMNIcwYTCGwBgKYzqAXzHjQIAAAAAQCCpZOE24LPYcO6TInhQeAMALIUd3oDv2OENAAAAAAgk1U0s3AZ8FUPhjSBC4Q0AsBQKb8B3lezwBgAAAAAEkMpmFm4DvmKkOYIJhTcAwFIovAHfscMbAAAAABBIqtjhDfiMox8RTCi8AQCWwtk0gO+qWBkPAAAAAAggXMcCvmOHN4IJhTcAwFLY4Q34rpKV8QAAAACAAOHxeFVN4Q34jMIbwYTCGwBgKRTegO9YGQ8AAAAACBR1bV1yebymYwABIdRpV5jTYToG0G8ovAEAlkLhDfiupqVTLrfHdAwAAAAAAI6L87sB33HsI4INhTcAwFJiI0Jks5lOAQQGr1eqbe0yHQMAAAAAgONiShngu1jGmSPIUHgDACzFYbcpOpQ3dICvOMcbAAAAABAIKpsovAFfcX43gg2FNwDAcmIZaw74jBXyAAAAAIBAUNXMgm3AV9wfRbCh8AYAWA5v6ADfVbFCHgAAAAAQALh+BXzHDm8EGwpvAIDlxEXwhg7wFSvkAQAAAACBgOtXwHcxYWwIQnCh8AYAWE4cO7wBn7FCHgAAAAAQCLh+BXzHDm8EGwpvAIDlUHgDvqtkhTwAAAAAIABUNnH9CviKIx8RbCi8AQCWQ+EN+I4V8gAAAACAQFDdwvUr4KtYdngjyFB4AwAsJzacwhvwFWegAQAAAACGurrWLnW7vaZjAAEjJSbcdASgX1F4AwAsJy6SwhvwVXVzp9webhoAAAAAAIYuxpkD/kmNDTMdAehXFN4AAMthpDngO49XqmtlLBwAAAAAYOiqbua6FfBHagyFN4ILhTcAwHIovAH/VHKONwAAAABgCGOHN+CfVEaaI8hQeAMALCeFFYyAX7hxAAAAAAAYyqrY4Q34LCbMqYhQh+kYQL+i8AYAWE5aLCsYAX+UNrSbjgAAAAAAwFGV1LeZjgAEDDYDIRhReAMALCcpKlShDv4KBHy1p7rVdAQAAAAAAI6K61bAdxTeCEbc7QcAWI7NZuONHeCHvTXcOAAAAAAADF17uG4FfJbK9EsEIQpvAIAlpcVSeAO+2lPTYjoCAAAAAABH1NzRrWrO8AZ8lspGIAQhCm8AgCVxjjfgu5L6dnW63KZjAAAAAABwmH01nN8N+IPCG8GIwhsAYEkU3oDvvF6puJYbCAAAAACAoWcvU8kAv6Qy+RJBiMIbAGBJ6XEU3oA/OA8NAAAAADAUcb0K+Cc1hvuiCD4U3gAAS+IMb8A/e6u5gQAAAAAAGHr2cL0K+IWR5ghGFN4AAEtipDngH1bMAwAAAACGor1crwJ+YYc3ghGFNwDAkii8Af9wJhoAAAAAYCii8AZ8F+a0Ky4yxHQMoN9ReAMALCmdwhvwCzcQAAAAAABDTXVzh1o6XaZjAAEjhXHmCFIU3gAAS4oKcyo6zGk6BhAwalq61NTebToGAAAAAAA9OL8b8A/ndyNYUXgDACwrLZY3eIA/OMcbAAAAADCUcJ0K+IfzuxGsKLwBAJaVHscbPMAfjDUHAAAAAAwlXKcC/kllAxCCFIU3AMCy0ljRCPhlb02L6QgAAAAAAPSg8Ab8w0hzBCsKbwCAZaWxwxvwy17ORgMAAAAADCGc4Q34h5HmCFYU3gAAy0pjRSPgF85GAwAAAAAMFS63R8V1XKcC/khhpDmCFIU3AMCyOMMb8A8r5wEAAAAAQ0VJfbu63V7TMYCAwkhzBCsKbwCAZaXGUngD/mjvdquiscN0DAAAAAAAOL8b6AVGmiNYUXgDACwrncIb8Bs3FAAAAAAAQwHXp4B/HHabkqJCTccABgSFNwDAslJjwmS3mU4BBJa9NS2mIwAAAAAAoD0U3oBf0mPDZedmKIIUhTcAwLKcDrsSozi3BvDHbs7xBgAAAAAMAXuqWZAN+GNYYqTpCMCAofAGAFhaehyFN+APRsYBAAAAAIYCrk8B/wxPovBG8KLwBgBYWloM53gD/the0Ww6AgAAAADA4hrbu1Xe2GE6BhBQhlF4I4hReAMALC0rIcJ0BCCglDa0q661y3QMAAAAAICFbSptNB0BCDjDE6NMRwAGDIU3AMDShifxRg/wFzcWAAAAAAAmbeS6FPAbI80RzCi8AQCWlssbPcBv3FgAAAAAAJjEQmzAf4w0RzCj8AYAWFpuMju8AX9ReAMAAAAATOK6FPBPfGSIYsNDTMcABgyFNwDA0nISIuWw20zHAALKxhJuLAAAAAAAzGhq79b+2jbTMYCAMjyR3d0IbhTeAABLC3XalREXbjoGEFBKG9pV19plOgYAAAAAwII2lbEIG/DXsCSmXCK4UXgDACwvj7HmgN84Lw0AAAAAYMIGpo4BfmOHN4IdhTcAwPKGJ/GGD/AX56UBAAAAAExgATbgv2EU3ghyFN4AAMvLZaQP4DcKbwAAAACACVyPAv4bxoYfBDkKbwCA5VF4A/7byAg5AAAAAMAga2rv1v7aNtMxgIDDhEsEOwpvAIDl5Sbzhg/wV2lDu+pau0zHAAAAAABYyKYyFl8D/gpz2pUeG246BjCgKLwBAJaXkxgpu810CiDwcG4aAAAAAGAwMW0M8F9OYqRsNm5+IrhReAMALC/M6VBGXITpGEDA4dw0AAAAAMBg4joU8N+wRKZbIvhReAMAIMaaA73BjQYAAAAAwGDiOhTwH4U3rIDCGwAAScOTokxHAAIOo+QAAAAAAIOlqb1b+2vbTMcAAs7wJApvBD8KbwAAJOVReAN+K21oV11rl+kYAAAAAAAL2FTGomugNyi8YQUU3gAAiDd+QG9tYpwcAAAAAGAQMGUM6J1hiWz0QfCj8AYAQFJuMm/8gN7g/DQAAAAAwGBgwTXgP5tNykmMMB0DGHAU3gAASBqWGCmbzXQKIPBQeAMAAAAABsMGrj8Bv6XHhivM6TAdAxhwFN4AAEgKD3EoIzbcdAwg4DBSDgAAAAAw0Jrau7W/ts10DCDgDEvkGEdYA4U3AACfGZ7EWHPAX6UN7apr7TIdAwAAAAAQxDaVsdga6I3hSRTesAYKbwAAPsM53kDvbCxpMB0BAAAAABDEmC4G9A4bfGAVFN4AAHwmlxWPQK+s2l9vOgIAAAAAIIhx3Qn0TmFajOkIwKCg8AYA4DOseAR659M9taYjAAAAAACClNvj1fK9XHcCvVGYFm06AjAoKLwBAPhMHiPNgV5Zd6BB7V1u0zEAAAAAAEFoa3mTmtpdpmMAASc8xK6cBCZawhoovAEA+MzwpEjZbaZTAIGn2+3VasbLAQAAAAAGAFPFgN4ZmRotOzc7YREU3gAAfCY8xKFcdnkDvfIp4+UAAAAAAAOAwhvoncJUzu+GdVB4AwDwBaPTY01HAALSp7u5AQEAAAAA6F9uj1cr9taZjgEEpII0Cm9YB4U3AABfMCqdN4JAb6wvaVBbF2eqAQAAAAD6z5ayJjV1cK0J9EZhWrTpCMCgofAGAOALRmWwwxvoDc7xBgAAAAD0N47PAnqvkB3esBAKbwAAvmB0Bm8Egd76dA9j5gAAAAAA/WcZx2cBvRIZ6lB2QoTpGMCgofAGAOALshMiFRPuNB0DCEjciAAAAAAA9BeX26OVnN8N9MrI1GjZbDbTMYBBQ+ENAMCXcI430DsbShrU2snZagAAAACAvttS3qRmrjGBXilI5f4mrIXCGwCALxmVzjneQG+4PJzjDQAAAADoH0wRA3qvMC3adARgUFF4AwDwJaMzKLyB3vp0DzckAAAAAAB99+kexpkDvVXIBEtYDIU3AABfMiqDN4RAb1F4AwAAAAD6yuX2aOU+Cm+gt8awoQcWQ+ENAMCXjEqPkc1mOgUQmNaXNHKONwAAAACgTzaVNamFa0ugVxKjQpUWG246BjCoKLwBAPiSyFCnhidGmo4BBCS3x6tVrMIHAAAAAPQB08OA3itKY3olrIfCGwCAIxiVztgfoLc4Zw0AAAAA0Bef7qbwBnqL4xphRRTeAAAcAW8Mgd5jJT4AAAAAoLe6Ob8b6JPRnN8NC6LwBgDgCNjhDfTehtJGzloDAAAAAPTK5tJGtXa5TccAAtZo7mvCgii8AQA4gjGshAR6jXO8AQAAAAC9tYypYUCvOew2FaRFm44BDDoKbwAAjiAnMULRYU7TMYCAxVhzAAAAAEBvfLqHBdRAb+UlRyk8xGE6BjDoKLwBADgCm82mQlZDAr3GDQoAAAAAgL84vxvom1HpMaYjAEZQeAMAcBSjGWsO9NqGkgY1tnebjgEAAAAACCDrDjSojfO7gV7jfiasisIbAICjGMUbRKDXPF5p8fYq0zEAAAAAAAFk0dZK0xGAgMYOb1gVhTcAAEcxmjeIQJ8s2krhDQAAAADw3ftcRwJ9wg5vWBWFNwAAR1GUHiObzXQKIHAt3l6lLpfHdAwAAAAAQADYW9OqXVUtpmMAASslJkyZ8RGmYwBGUHgDAHAUMeEhyk7gTSLQW00dLq3cV2c6BgAAAAAgADDOHOibiTnxpiMAxlB4AwBwDKPSGQME9MX73LAAAAAAAPiA60egbyi8YWUU3gAAHMMYzr0B+mThFm5YAAAAAACOrb61Syv31ZuOAQQ0Cm9YGYU3AADHwBtFoG9K6tu1raLJdAwAAAAAwBC2eEe13B6v6RhAwLLbpPHZcaZjAMZQeAMAcAyThsWbjgAEvEVbq0xHAAAAAAAMYZzfDfTNiJRoxYSHmI4BGEPhDQDAMcRHhio/Ocp0DCCgvc9YcwAAAADAUXS5PFq8vdp0DCCgTWBKJSyOwhsAgOOYyC5voE/WHmhQdXOH6RgAAAAAgCFo+d5atXS6TMcAAhrHMsLqKLwBADiOScMSTEcAAt6ibYw1BwAAAAAc7n2OwQL6jMIbVkfhDQDAcUxmhzfQZ4w1BwAAAAAcCdeLQN+Eh9g1Kj3GdAzAKApvAACOY1R6rCJDHaZjAAHt3ztr1N7lNh0DAAAAADCEbC1vUmlDu+kYQEA7ITNOTgd1H6yNPwEAAByHw27TuKw40zGAgNbp8mjp7hrTMQAAAAAAQ8j7W9ndDfQV48wBCm8AAHzCOd5A3zGmDgAAAADwRVwnAn03keMYAQpvAAB8wTneQN8t2lolj8drOgYAAAAAYAiobOrQ+pJG0zGAgDchO950BMA4Cm8AAHzADm+g76pbOrWhpMF0DAAAAADAELBoa5XpCEDAS44OVU5ipOkYgHEU3gAA+CAlJkzZCRGmYwABbyE3NAAAAAAA4vxuoD9wfjdwEIU3AAA+Ypc30HeczwYAAAAAaOtyaemuGtMxgIBH4Q0cROENAICPOMcb6Lvtlc06UNdmOgYAAAAAwKClu2rU6fKYjgEEvAkU3oAkCm8AAHzGDm+gfzC2DgAAAACsbeEWjrsC+spmo/AGPkfhDQCAj8ZmxirMyV+dQF+9x1hzAAAAALAsl9ujRSyEBvosPzlKseEhpmMAQwJ37QEA8FGIw64TsuJMxwAC3qd7alXR2GE6BgAAAADAgE9216q2tct0DCDgsbsb+A8KbwAA/DCJN5JAn3m90hsbykzHAAAAAAAY8Nq6UtMRgKDAfUrgPyi8AQDwA+d4A/3jtbXc4AAAAAAAq2nrcmnBpgrTMYCgMDGH+5TA5yi8AQDww6Rh8aYjAEFhc1mTdlQ2m44BAAAAABhEC7dUqq3LbToGEPDCnHaNyogxHQMYMii8AQDwQ2Z8hNJjw03HAIICu7wBAAAAwFpeW8vxVkB/OCErTiEOKj7gc/xpwP9n7z7D7C7r/I9/z/RMyqT3XiCFhNBD76DSBQs2dEVRENa+rt3dVRe7rgp2AZWmFAGlSw8lpJFCeu+9Taae+T8A/VsoKTNzn/J6XReXmMH45kGSM+dz7vsHwF5yyhtax53TV0c225I6AwAAgHawcWd9PLZgQ+oMKAhHDeueOgFyisEbAPaSwRtax6qtu+O5ZZtTZwAAANAO7p65Jpp96BlaxdEjeqROgJxi8AaAvXTI4G6pE6BguNYcAACgOPj+D1pHRWlJHD7ECW/4ewZvANhL4wfURIVn5ECruOeFNVHf1Jw6AwAAgDa0ZOOumL5ia+oMKAgHD6qJDhWlqTMgp3i3HgD2UlV5aUwc1DV1BhSE7bub4pF5nuEGAABQyO6c7nQ3tJajh7vOHP6ZwRsA9sGk4a4NgtZyu2vtAAAACprv+6D1TPL8bvgXBm8A2AdeWELreXju+ti2uzF1BgAAAG1g2vItsWxTbeoMKAgVZSVx6OBuqTMg5xi8AWAfHDq4W1SU+WMUWkNDczb+PGtN6gwAAADawB3TV6dOgIJxyKCuUVXu+d3wz7xTDwD7oKq8NA4d3DV1BhSMO1xvBwAAUHAam7Nx1wyDN7SWo906Ca/I4A0A++jo4T1TJ0DBeHrx5li1dXfqDAAAAFrR4ws2xuZdDakzoGAcPdzgDa/E4A0A+2jS8O6pE6Cg3OWaOwAAgILiNi9oPVXlJXGI53fDKzJ4A8A+OmRwt6gq90cptJbbpq1MnQAAAEAr2VnfFPfPWZs6AwrGYUO6RUWZ9yLhlfiVAQD7qKKsJA4b4lOV0Frmr9sZc9dsT50BAABAK7hv9tqoa8ymzoCC4TpzeHUGbwDYD15oQuu63XV3AAAABcF15tC6jh7hfUh4NQZvANgPXmhC6/rj9NXRnG1JnQEAAMB+WL+9Lp5cuDF1BhSM6orSmDCwa+oMyFkGbwDYDxMGdo3qitLUGVAw1m6vi2eWbEqdAQAAwH64a+bq8FlmaD2HDekW5aUmPXg1fnUAwH4oLy2JI4Z2T50BBeX3z69MnQAAAMB++MPzrjOH1uSWSXhtBm8A2E/HjeyZOgEKyj0z18SWXQ2pMwAAANgHU5dtiTlrtqfOgIJy9HCDN7wWgzcA7KdjDd7QquqbsnGrU94AAAB56Yanl6VOgILSqbIsxg+oSZ0BOc3gDQD7aUy/ztGzU0XqDCgov3l6WWQ98A0AACCvbNpZH/fMXJM6AwrKEUO7RZnnd8Nr8isEAPZTJpOJY0Y45Q2tafnm2nh8wYbUGQAAAOyFW6esjIbmbOoMKCie3w2vz+ANAK3Ac7yh9bkGDwAAIH80Z1viN8/4Pg5a2yTP74bXZfAGgFZw7CiDN7S2h15cHyu31KbOAAAAYA88On9DrNyyO3UGFJTOVWUxrr/nd8PrMXgDQCsY0LVDDOvZMXUGFJSWlojfPbM8dQYAAAB74IbJTndDaztqWPcoLcmkzoCcZ/AGgFZy7EjXC0Fru/m5FVHf1Jw6AwAAgNewfFNtPDJ/feoMKDjHjHCrJOwJgzcAtJLjRvZKnQAFZ9Ouhrh31trUGQAAALyG3z27LFpaUldA4TlldO/UCZAXDN4A0EqOHtHDFUPQBlyLBwAAkLvqG5vj5udWpM6AgjO8Z8cY6hGKsEcM3gDQSmo6lMdBA2pSZ0DBmbJsS8xdsz11BgAAAK/gnhfWxJbaxtQZUHBOdrob9pjBGwBa0YmjPFcH2sJvnnbKGwAAIBf5fg3ahuvMYc8ZvAGgFZ0ypk/qBChIt09bFdvrnBgAAADIJbNWbYupy7emzoCC07myLI4c1j11BuQNgzcAtKKDB9ZEr86VqTOg4NQ2NMftU1elzgAAAODvON0NbeO4UT2jvNSEB3vKrxYAaEWZTCZOOdB1Q9AWbvBGCgAAQM7Yvrsx7pjug8nQFjy/G/aOwRsAWtmpY7wghbawcP3OeHrxptQZAAAARMQfpq6MusZs6gwoOJlMxMkO1MBeMXgDQCs7flSvqCzzRyy0hRsmO+UNAACQC3x/Bm1jwgCPTIS95d14AGhlHSpK45gRPVJnQEG6b/baWLe9LnUGAABAUXty4cZYvHFX6gwoSK4zh71n8AaANnDqmD6pE6AgNWVb4qbnVqTOAAAAKGo3PO10N7SVUwzesNcM3gDQBjzHG9rO755ZFo3NnhMHAACQwpptu+OBOetSZ0BB6tW5MsYPqEmdAXnH4A0AbaBfTYcY179L6gwoSOu213tzBQAAIJEbn10ezdmW1BlQkE4+sFdkMpnUGZB3DN4A0EZcaw5t56ePLU6dAAAAUHR21TfF9ZNdZw5txXXmsG8M3gDQRk5zrTm0mekrtsbkRZtSZwAAABSVm59bEVtrG1NnQEGqKC2J40b1Sp0BecngDQBtZPyAmujduTJ1BhSsHz+yMHUCAABA0WhoysbPHnfbFrSVI4Z1i06VZakzIC8ZvAGgjWQymTjVKW9oM48v2BgvrNyWOgMAAKAo3DF9VazZVpc6AwrWKaM9HhH2lcEbANqQF6rQtpzyBgAAaHvN2Za49pFFqTOgoHl+N+w7gzcAtKHjRvaMyjJ/3EJbuXf22li0fmfqDAAAgIJ23+y1sXjjrtQZULCG9ewYw3p2TJ0Becs78ADQhjpUlMaxI3umzoCC1dISce1jThkAAAC0JbdrQds6+UCnu2F/GLwBoI15jje0rdunrorVW3enzgAAAChIj83fELNWbU+dAQXN+4ewfwzeANDGTvUcb2hTTdmW+Pnji1NnAAAAFKRrPLsb2lSnyrI4clj31BmQ1wzeANDG+tZUxUEDuqTOgIJ247MrYvOuhtQZAAAABWXa8i0xefGm1BlQ0I4b2TPKS811sD/8CgKAduCUN7St3Y3N8eunlqTOAAAAKCg/drob2twpo11nDvvL4A0A7eC0MQZvaGu/fmpp7KxvSp0BAABQEOat3REPzFmXOgMKWllJJk4b631D2F8GbwBoBwcN6BJ9ulSmzoCCtn13U/zumeWpMwAAAArCtY863Q1t7egRPaJ7x4rUGZD3DN4A0A4ymUyc4lpzaHM/f3xx1Dc1p84AAADIays218YfZ6xOnQEF76zx/VInQEEweANAOzltjOfxQFtbv6M+/vD8qtQZAAAAee2njy2O5mxL6gwoaGUlmThzXN/UGVAQDN4A0E6OG9UzOleVpc6AgveTxxZFU3M2dQYAAEBe2rCjPm6ZsiJ1BhS8o0f0iG6uM4dWYfAGgHZSWVYaZ4z1qU1oa8s21cafZ61NnQEAAJCXfvXkkqhv8iFiaGtnT3CdObQWgzcAtKOzD/ZCFtrDNY8sSp0AAACQd7bXNcYNk5elzoCCV17qOnNoTQZvAGhHx4/sGd2qy1NnQMGbs2Z7/OXF9akzAAAA8spvJi+LHfVNqTOg4B0zomd0rXadObQWgzcAtKOy0pJ4w0E+vQnt4cePLEydAAAAkDfqGpvjl08uSZ0BReEs15lDqzJ4A0A7O2dC/9QJUBSeW7olnl2yOXUGAABAXrj5uRWxcWdD6gwoeOWlmThzrAMx0JoM3gDQziYN7xG9OlemzoCi8K3756VOAAAAyHm1DU3xw7+4JQvaw7Eje0aNRx5CqzJ4A0A7KynJxJtcaw7t4tklm+Nhz/IGAAB4Tb96cmls2FGfOgOKwlnjXWcOrc3gDQAJnHOwa82hvXzj3hcjm21JnQEAAJCTtuxqiGsfWZQ6A4pCRWlJnDHOQRhobQZvAEjgsCHdon9NVeoMKAovrt0Rd85YnToDAAAgJ13z6KLYUd+UOgOKwnGjekZNB9eZQ2szeANAAplMJs6a4PoiaC/fvn9e1Dc1p84AAADIKWu27Y7rnlqaOgOKhuvMoW0YvAEgEdeaQ/tZuWV33PjsitQZAAAAOeV7Dy6I+qZs6gwoChVlJXH6uD6pM6AgGbwBIJEJA7vGkB7VqTOgaPzfQwtip2v6AAAAIiJi4fqdcesUHwyG9nLCqJ7Rpcp15tAWDN4AkNDZrjWHdrNpV0P84vHFqTMAAABywrfunxfZltQVUDze5DpzaDMGbwBIyLXm0L5++tji2LSzPnUGAABAUtOXb4l7Z61NnQFFo6KsJE4f6zpzaCsGbwBIaHTfLjGqd6fUGVA0djU0x4/+sjB1BgAAQFJX3zsvdQIUlRNG9YrOrjOHNmPwBoDEzp7glDe0p988vTxWbqlNnQEAAJDEY/M3xOTFm1JnQFHxWENoWwZvAEjsnIO94IX21NCcje8+MD91BgAAQLvLZlvi6ntfTJ0BRaWyrCROc505tCmDNwAkNrxXpxjbr0vqDCgqt01bFS+u3Z46AwAAoF3d88KamL3a90LQnk48oFd0qixLnQEFzeANADngnINdaw7tqaUl4pv3eWYdAABQPBqasvGt+30fBO3tLNeZQ5szeANADvAcH2h/D81dH88t3Zw6AwAAoF3c/NyKWLapNnUGFJWOFaVxuuvMoc0ZvAEgBwzqXh0TB3VNnQFF5+o/e3YdAABQ+GobmuIHDy1InQFF503j+0V1hevMoa0ZvAEgR7jWHNrflGVb4sG561JnAAAAtKlfPrE0NuysT50BRecthw9KnQBFweANADni7An9oiSTugKKzzfvnRfN2ZbUGQAAAG1iy66G+Mmji1JnQNEZ2qM6jhzWPXUGFAWDNwDkiD5dquKYET1TZ0DRmbduR9wxfVXqDAAAgDbx40cWxY76ptQZUHQuPHRg6gQoGgZvAMghbzncC2FI4bsPzI/6pubUGQAAAK1q1dbdcf3kpakzoOiUZCIuPMz7fNBeDN4AkEPOHNc3ajqUp86AorNyy+741ZNLU2cAAAC0qm/eOy/qm7KpM6DoHDuyZ/Tv2iF1BhQNgzcA5JCq8tI4b2L/1BlQlH7w0IJYs2136gwAAIBW8cySTR7fBIlc5HQ3tCuDNwDkmLcePih1AhSl2obm+No9c1NnAAAA7Lem5mx86c7ZqTOgKHWuKoszx/VNnQFFxeANADnmoAE1MbZfl9QZUJTumrkmJi/alDoDAABgv9zw9LJ4ce2O1BlQlM45uH9UlZemzoCiYvAGgBz01sNdewSpfPHOWdHY7Bl3AABAftqwoy6+c//81BlQtN7iOnNodwZvAMhB5x8yICrK/DENKSxYvzN+/dTS1BkAAAD75Ot/fjF21DelzoCiNLJ3pzhkcLfUGVB0vJMOADmoa3VFnDG2T+oMKFrfe2B+rNtelzoDAABgrzy3dHPcNnVV6gwoWhc53Q1JGLwBIEe97YhBqROgaO1qaI6v3jM3dQYAAMAea2rOxhfvnJU6A4pWaUkm3nzIgNQZUJQM3gCQo44d0TMGdO2QOgOK1h9nrI6nF29KnQEAALBHfvPM8pi7ZkfqDChaJx7QK3p3qUqdAUXJ4A0AOaqkJOMaJEjsi3fOisbmbOoMAACA17RhR3185/55qTOgqHkfD9IxeANADnvL4QMjk0ldAcVr/rqdcf3kpakzAAAAXtPV974Y2+uaUmdA0epWXR6njemTOgOKlsEbAHLYwG7VceyInqkzoKh994EFsX57XeoMAACAV/T8si3x++dXps6AonbexAFRUWZyg1T86gOAHPeWw12HBCntrG+Kr//5xdQZAAAA/6I52xJfvHNW6gwoeq4zh7QM3gCQ484c1zdqOpSnzoCidvu0VfHMkk2pMwAAAP7Bb59ZFrNXb0+dAUVtTL8ucdCAmtQZUNQM3gCQ46rKS+O8if1TZ0DR+9Kds6OpOZs6AwAAICIiNu2sj2/dPy91BhQ9p7shPYM3AOSBtx4+KHUCFL0X1+6IG55eljoDAAAgIiKuvndebN/dlDoDilp5aSbOd1AFkjN4A0AeOGhATYzt1yV1BhS979w/PzbsqEudAQAAFLmpy7bELVNWpM6AonfK6N7Ro1Nl6gwoegZvAMgTbzvCKW9IbUd9U/zvn19MnQEAABSx5mxLfPGPs1JnABFx0WHer4NcYPAGgDxx/sQBUVHmj25I7Q9TV8WUpZtTZwAAAEXqxmeXx6xV21NnQNHrV1MVp4zunToDCIM3AOSNmuryOHNc39QZQER88c7Z0dScTZ0BAAAUmc27GuKb981LnQFExDuOHBylJZnUGUAYvAEgr7z18IGpE4CImLNme/ziiSWpMwAAgCLzX3fNiW27G1NnQNGrKC2Ji48anDoDeJnBGwDyyHEje8aArh1SZwAR8Z0H5sei9TtTZwAAAEXigTlr447pq1JnABHxpvF9o2enytQZwMsM3gCQRzKZTLxzkk+PQi6ob8rGp34/I5qzLalTAACAAre1tiE+e/us1BnAy95zzNDUCcDfMXgDQJ65+IjBUVnmj3DIBVOXb42fP744dQYAAFDgvvzHObFhR33qDCAiJgysiUMHd0udAfwd75YDQJ7p1rEizpvYP3UG8LLvPDA/FrraHAAAaCOuMofc8u5JQ1InAP/E4A0Aeei9xwxLnQC8rL4pG5+61dXmAABA69ta2xCfvc1V5pArunesiHMOdhAFco3BGwDy0Nj+XeLIYd1TZwAvm7bC1eYAAEDr+/If58SGna4yh1zx1sMHRVV5aeoM4J8YvAEgT73vmKGpE4C/42pzAACgNbnKHHJLSSbiXZMGp84AXoHBGwDy1Bnj+kb/mqrUGcDLXG0OAAC0FleZQ+45ZXSfGNitOnUG8AoM3gCQp0pLMvGuo4ekzgD+jqvNAQCA1uAqc8g9lxzjfTjIVQZvAMhjFx8xOKrK/XEOucTV5gAAwP5wlTnknhG9OsZxI3umzgBehXfIASCPdetYEecdPCB1BvB3XG0OAADsqy27XGUOuejdk4ZEJpNJnQG8CoM3AOS5S44ZmjoB+CeuNgcAAPbFV+5ylTnkmk6VZXHR4YNSZwCvweANAHlubP8uceSw7qkzgH/ianMAAGBvuMocctMFhwyITpVlqTOA12DwBoAC8D6nvCHnuNocAADYU64yh9x1yTFDUicAr8PgDQAF4IxxfWNA1w6pM4B/Mm3F1viZq80BAIDX8eW7ZrvKHHLQMSN6xMjenVNnAK/D4A0ABaC0JBPvmuTTppCLvutqcwAA4DXcP3tt3Dl9deoM4BW852jvt0E+MHgDQIF4+xGDoqrcH+2Qa1xtDgAAvJotuxric7e7yhxyUf+aqjh9bN/UGcAe8K44ABSIbh0r4ryDB6TOAF6Bq80BAIBX4ipzyF3vnDQkSksyqTOAPWDwBoAC8t5jh6ZOAF7Fdx+YHy+u3Z46AwAAyBF/nrXGVeaQoyrKSuLtRwxKnQHsIYM3ABSQMf26xFHDuqfOAF5BfVM2PvK7aVHb0JQ6BQAASGzF5tr4j9/PTJ0BvIqzx/eLHp0qU2cAe8jgDQAF5r3HDE2dALyKhet3xpf+ODt1BgAAkFBjczauunFabK/zYVjIVZd4fw3yisEbAArMGeP6xoCuHVJnAK/i1ikr4/Zpq1JnAAAAiXzrvnkxbcXW1BnAq5g0vHscPKhr6gxgLxi8AaDAlJZk4l2ThqTOAF7D525/IRZv2Jk6AwAAaGePzFsfP3lsceoM4DV86MQRqROAvWTwBoACdPGRg6Kq3B/zkKtqG5rjyhunRX1jc+oUAACgnazdVhcfv2VG6gzgNYzt1yVOOrB36gxgL3knHAAKUNfqinjzoQNTZwCvYfbq7fHVP81NnQEAALSD5mxLfPTmabF5V0PqFOA1XHbi8NQJwD4weANAgbrshOFRWpJJnQG8husnL4t7Z61NnQEAALSx/3t4QTy9eHPqDOA1DO5eHWdP6J86A9gHBm8AKFBDenSMs8b3S50BvI5P/35GrNxSmzoDAABoI5MXbYrvP7QgdQbwOj5w/DCHRyBPGbwBoIB9+KQRqROA17G9rimuunFaNDZnU6cAAACtbOPO+vj3m6ZFS0vqEuC19OxUEW85fFDqDGAfGbwBoICN6dclThndO3UG8DqmLt8a375/XuoMAACgFWWzLfHJW2bE+h31qVOA1/HeY4ZGVXlp6gxgHxm8AaDAXXGyU96QD659dHE8Mm996gwAAKCV/PTxxfHI/A2pM4DX0amyLN599NDUGcB+MHgDQIE7bEj3OHJY99QZwB74+C0zYt32utQZAADAfpq6bEt86z63OEE+uPjIQVHToTx1BrAfDN4AUAQu9yxvyAubdzXER2+aHs1ZD/gDAIB8tW13Y1x547Ro8roecl5FaUlcevzw1BnAfjJ4A0AROOnA3nHQgC6pM4A9MHnxpvjhwwtSZwAAAPvo07+fGau27k6dAeyB8w/pH326VKXOAPaTwRsAisSHTxyZOgHYQ99/aEE8vXhT6gwAAGAvXffU0rhv9trUGcAeKMlEXHaiWxGhEBi8AaBIvPGgvjG8Z8fUGcAeyLZEXHXjtNi0sz51CgAAsIdmr94WX71nbuoMYA+dPrZPjOjVKXUG0AoM3gBQJEpKMvEhn1qFvLF+R3184pYZkfXcPwAAyHk765viit9OjYbmbOoUYA95nwwKh8EbAIrIBYcOiP41nksE+eKR+RviZ48vTp0BAAC8js/d/kIs3VSbOgPYQ5OGd49DBndLnQG0EoM3ABSR8tKSuPT44akzgL3wjfvmeZ43AADksBsmL4s7p69OnQHsBae7obAYvAGgyFx85ODo3rEidQawh5qzLfHh3zwfKzY7LQIAALlm8qJN8ZW7ZqfOAPbC2H5d4qQDe6fOAFqRwRsAikyHitJ47zFDU2cAe2FLbWNcet2U2FnflDoFAAB42fJNtXH5b5+PpmxL6hRgL1x2otsPodAYvAGgCF1yzNDoVFmWOgPYC/PW7YhP3DI9st5MAwCA5HbWN8UHrp8SW2obU6cAe2Fw9+o4e0L/1BlAKzN4A0ARqulQHu88anDqDGAv3Td7XXz/oQWpMwAAoKhlsy3xiVumx7x1O1KnAHvpA8cPi9KSTOoMoJUZvAGgSL3/+GFRUealAOSb7z+0IO6ZuSZ1BgAAFK3vPTQ/7pu9LnUGsJd6dqqItxw+KHUG0Aa8yw0ARap356p4y2EDU2cA++ATt06P2au3pc4AAICic/fM1fGDhxamzgD2wXuPGRpV5aWpM4A2YPAGgCJ22QkjXOMEeaiuMRsfuG5KbNxZnzoFAACKxuzV2+KTt85InQHsg67V5XHJMUNTZwBtxOANAEVscI/qOHtCv9QZwD5Yva0uPvyb56OhKZs6BQAACt6GHfXxgeumRF2j19+Qjz5w/PDoXFWeOgNoIwZvAChyl580MjIOeUNeem7plvjinbNSZwAAQEFraMrGh3/zfKzeVpc6BdgH3arL471Od0NBM3gDQJE7sG/nOH1Mn9QZwD666bkVcd1TS1NnAABAwfrCnbNiyrItqTOAffTBE0ZEx8qy1BlAGzJ4AwDx8TMOCI/yhvz1X3fPiScXbkydAQAABefXTy2Nm59bkToD2Ec9OlbEJccMSZ0BtDGDNwAQo/t2ibMn9E+dAeyj5mxLXPG7qbFs067UKQAAUDCeXLgx/vvuOakzgP3wwROGR3WF091Q6AzeAEBERHz89AOizDFvyFtbaxvj0uumxI66xtQpAACQ95Zt2hWX/3ZqNGdbUqcA+6hnp8p4z9FDU2cA7cDgDQBERMTQnh3josMGps4A9sOC9TvjYzdPj6w35QAAYJ/tqHvpw6TbdvswKeSzD504PDpUlKbOANqBwRsA+JurTh0VFWVeHkA+e3Du+vj2A/NTZwAAQF7KZlviYzdPjwXrd6ZOAfZDr86V8a5Jnt0NxcI72gDA3/Tv2iHeedTg1BnAfvrRXxbG3TNWp84AAIC88+0H5seDc9enzgD204dPHBFV5U53Q7EweAMA/+CKk0dGteueIO998vcz4oWV21JnAABA3vjj9FXxo78sTJ0B7Kc+XSrjHQ50QFExeAMA/6Bnp8p437FDU2cA+6muMRsfuH5KrNq6O3UKAADkvOeXbYlP/X5m6gygFVxx8kinu6HIGLwBgH/xwRNGRJeqstQZwH5au70uLvnls7G1tiF1CgAA5KwF63bEv/36uahvyqZOAfbTwG4d4uIjne6GYmPwBgD+RU2H8vjgCcNTZwCtYOH6nfFvv54SuxuaU6cAAEDOWb11d7znl8/Gtt2NqVOAVvDvp46K8lLTFxQbv+oBgFf0b8cNi56dKlJnAK1g6vItccXvpkZjsxMrAADwV1trG+KSXz4ba7bVpU4BWsGIXh3jzYcOTJ0BJGDwBgBeUXVFWXz4pJGpM4BW8vCL6+Ozt72QOgMAAHLC7obmeP91U2LB+p2pU4BW8vHTD4zSkkzqDCABgzcA8KreNWlw9K+pSp0BtJJbn18Z37j3xdQZAACQVFNzNj5y49R4ftmW1ClAKxnXv0u8aXzf1BlAIgZvAOBVVZaVxpWnjkqdAbSiHz+yKH715JLUGQAAkMxnb58VD81dnzoDaEWfPOPAyGSc7oZiZfAGAF7TWw4bGEN7VKfOAFrRV+6aE3fNWJ06AwAA2t0375sXt0xZkToDaEVHDO0WJ4/unToDSMjgDQC8prLSkvjY6QekzgBa2cdvmR6PL9iQOgMAANrNr55cEj/6y8LUGUAr++QZB6ZOABIzeAMAr+ucCf1jdN/OqTOAVtTY3BIfuuH5mLlya+oUAABoc3fNWB3/dfec1BlAKzt+VM84aniP1BlAYgZvAOB1lZRk4uNOeUPB2dXQHO/71XOxZOOu1CkAANBmnliwMT5+y/RoaUldArS2T53pdDdg8AYA9tAZ4/rGwYO6ps4AWtmmXQ3xnl8+Ext21KVOAQCAVjdr1ba47IYp0dhs7YZC88aD+saEgV1TZwA5wOANAOyxT3kmEhSkFZt3xyW/fC621zWmTgEAgFazdOOueO+vno1dDc2pU4BWVlFaEv/xhtGpM4AcYfAGAPbYcaN6xqTh3VNnAG1gzprtcdn1z0d9ozcDAQDIfxt21MV7fvlsbNzZkDoFaAPvPnpIDO3ZMXUGkCMM3gDAXvFsJChckxdvio/dMj2as657BAAgf+2oa4z3/uq5WL65NnUK0Aa6VZfHVaeOSp0B5BCDNwCwVw4b0j3OHNcndQbQRv70wtr4yl2zU2cAAMA+qW9qjstueD5mr96eOgVoI1edOipqOpSnzgByiMEbANhrn33TmKgo9TICCtX1k5fF/z28IHUGAADsleZsS3z85hnx1KJNqVOANjK8Z8d416QhqTOAHOOdagBgrw3p0THee+zQ1BlAG/r2/fPjd88sS50BAAB77Ct3zY57XliTOgNoQ5954+godwgD+Cd+VwAA9smVp4yMnp0qUmcAbehzd8yK3z+/InUGAAC8rv+5Z05cP9kHNqGQHT28R5wxrm/qDCAHGbwBgH3Suao8Pnb6AakzgDbU0hLxqd/PjNunrUqdAgAAr+p//zw3fv74ktQZQBsqyUR87qwxqTOAHGXwBgD22duPGByj+3ZOnQG0oZaWiE/cMj3+ON3oDQBA7vnW/fPi2kcXp84A2tibDx0YBw2oSZ0B5CiDNwCwz0pLMvHFs8emzgDaWLYl4mO3zIh7ZnoeIgAAueP7D86PHz68MHUG0MaqK0rjU2cemDoDyGEGbwBgvxwzsmecNqZP6gygjTVnW+Kqm6bFvbPWpk4BAID4v4cXxHcfXJA6A2gHHzxhePTpUpU6A8hhBm8AYL997qwxUV6aSZ0BtLHmbEt85HdT44E5Rm8AANK55pGF8e3756fOANpB3y5VcdkJI1JnADnO4A0A7LdhPTvGe44emjoDaAdN2Za4/LdT46G561KnAABQhH762OK4+t55qTOAdvLJMw+MDhWlqTOAHGfwBgBaxVWnjoruHStSZwDtoLG5JT78m6nx6Lz1qVMAACgiv3xiSXztT3NTZwDtZPyAmrjw0AGpM4A8YPAGAFpFTYfy+Nhpo1JnAO2koTkbH7zh+XjE6A0AQDv45RNL4r/unpM6A2hHnztrTGQyHqEHvD6DNwDQat5x1JA4oE+n1BlAO6lvysYHr3/e9eYAALSpnz622NgNReb0sX1i0vAeqTOAPGHwBgBaTWlJJr5w9tjUGUA7amjOxod+83w8MGdt6hQAAArQNY8sdI05FJny0kx89k1jUmcAecTgDQC0quNH9YpTRvdOnQG0o78+0/veWUZvAABaz/89vCCuvnde6gygnb1r0pAY1rNj6gwgjxi8AYBW97mzxkR5qWcsQTFpyrbEFb+bGvfMXJM6BQCAAvC9B+fHt++fnzoDaGc1Hcrj308dlToDyDMGbwCg1Y3o1SneNWlI6gygnTVnW+Kqm6bFH6evSp0CAEAe+9b98+J7Dy5InQEkcNWpo6JrdUXqDCDPGLwBgDbx0VMPiG7V5akzgHbWnG2Jj948PW6bujJ1CgAAeejqP78YP3x4YeoMIIFhPTvGe452gALYewZvAKBN1FSXx0dPOyB1BpBAtiXiE7fOiN8/vyJ1CgAAeeSr98yNax5dlDoDSOQzbxwd5aVmK2Dv+Z0DAGgz7zxqcIzq3Sl1BpBAS0vEp34/M37z9LLUKQAA5LjmbEt88c5Z8bPHF6dOARI58YBecea4vqkzgDxl8AYA2kxZaUl8/uyxqTOARFpaIj5/x6z47gPzU6cAAJCj6pua46obp8X1k31QEopVZVlJ/Nd541JnAHnM4A0AtKkTD+gVJx3YK3UGkND3H1oQn73thWjOtqROAQAgh+yoa4z3/eq5uOeFNalTgISuOHlkDOnRMXUGkMcM3gBAm/vC2WOjwjOYoKj97tnlcflvp0Z9Y3PqFAAAcsCGHXXx9p8+HU8t2pQ6BUhoeM+O8aETR6TOAPKcd54BgDY3olen+MAJw1JnAIndN3ttvPuXz8b23Y2pUwAASGjpxl1x4TWTY/bq7alTgMT++/yDoqLMVAXsH7+LAADt4spTRsWg7h1SZwCJPbtkc7z1J5Nj3fa61CkAACQwa9W2uOjap2L55trUKUBi5x7cP44d2TN1BlAADN4AQLuoKi+Nr5w7LnUGkANeXLsjLrzmqVi0YWfqFAAA2tETCzbG234yOTbubEidAiTWuaosPn/2mNQZQIEweAMA7eaU0X3ijLF9UmcAOWDllt1x0TVPxfQVW1OnAADQDu6esTre9+tnY1dDc+oUIAd84vQDonfnqtQZQIEweAMA7erL546L6orS1BlADthS2xgX//TpeHTe+tQpAAC0oV8/tTSuvGlaNDa3pE4BcsBBA7rEu48emjoDKCAGbwCgXfXv2iH+/dRRqTOAHLG7sTnef92UuG3qytQpAAC0gW/c+2J8+Y+zo8XWDURESSbiq+ePj9KSTOoUoIAYvAGAdvf+44bFgX06p84AckRTtiU+fsuM+Olji1OnAADQSpqas/Hp38+MHz+yKHUKkEPecdTgOHhQ19QZQIExeAMA7a6stCT+54KDIuPDvMDf+dqf5sZX75kb2azjPwAA+Wx3Q3Nc9pvn45YpK1KnADmkZ6fK+NSZo1NnAAXI4A0AJHHE0O5x4aEDU2cAOeZnjy+OT9w6Ixqbs6lTAADYB1trG+Jdv3gmHpq7PnUKkGM+d9boqOlQnjoDKEAGbwAgmc++aUx0rfaNDvCPbp+2Kj5w3ZTYVd+UOgUAgL2weuvueMu1k+P5ZVtSpwA55ujhPeKCQxx8ANqGwRsASKZ7x4r4zBtcZQX8q0fmb4h3/vyZ2LyrIXUKAAB7YMG6HXHhNU/FgvU7U6cAOaaitCT++/yDUmcABczgDQAk9bYjBsWRw7qnzgBy0PQVW+Oia56KlVtqU6cAAPAapi7bEhddOznWbKtLnQLkoA+cMCxG9u6UOgMoYAZvACCpTCYTX7tgfFSUelkC/KvFG3fFBT9+KqYtdy0mAEAuunvG6rj4Z0/Htt2NqVOAHDSwW4e48pRRqTOAAuedZQAguZG9O8WHTxqROgPIURt21MfbfvJ0/OH5lalTAAB4WTbbEt+8b1585MZpUd+UTZ0D5KivnDsuqspLU2cABc7gDQDkhMtPHhHDe3VMnQHkqIbmbHzi1hnxP/fMiaZmb6gCAKS0o64xPnjDlPjRXxamTgFy2Blj+8SpY/qkzgCKgMEbAMgJlWWl8fULxkcmk7oEyGU/f3xJvP+6Ka7MBABIZNmmXfHmHz8VD85dnzoFyGHVFaXx5XPHpc4AioTBGwDIGUcN7xFvPWxQ6gwgxz06f0Nc8KMnY9GGnalTAACKypMLN8a5P3wyFqz3Ogx4bf9+6qjo37VD6gygSBi8AYCc8tk3jYmenSpSZwA5bvHGXXHBj56MR+Y5WQQA0B6ue2ppvOeXz7ppB3hdo/t2jvcfNyx1BlBEDN4AQE6pqS6PL5w9NnUGkAe21zXFv/36ufjpY4tTpwAAFKyGpmx85g8z40t/nB3N2ZbUOUCOKyvJxDcvOjjKSs1PQPvxOw4AkHPOmzggTjigV+oMIA9kWyK+9qe58fFbpkd9Y3PqHACAgrJxZ3288+dPx03PrUidAuSJy04cHuMH1qTOAIpMpqWlxcfyAICcs2JzbZzx3cditwEL2EMTB3WNn7z7sOjTpSp1CgBA3puzelt84PrnY9XW3alTgDxxYJ/OcdeVx0VFmbOWQPvyuw4AkJMGda+OT555YOoMII9MX7E1zv3hEzFjxdbUKQAAee2emWviwmsmG7uBPVZWkolvveVgYzeQhN95AICc9W/HDo0jh3VPnQHkkXXb6+OtP5kct09blToFACDvZLMt8d0H5scVv5vqti1gr7jKHEjJleYAQE5bvqk23vD9x6K2wZstwN750InD41Nnjo7SkkzqFACAnLervik+fsuMuG/22tQpQJ45oE+nuPvK453uBpLxuw8AkNMG96iO/3zj6NQZQB669tHFcel1U2J7XWPqFACAnLZic21ceM1Txm5gr7nKHMgFfgcCAHLeuyYNiWNH9kidAeShv8xbHxf86KlYsnFX6hQAgJz09OJNce4Pn4gX1+5InQLkoQ+eMDwmDOyaOgMocgZvACDnZTKZuPrCCdGpsix1CpCHFm3YGef96Il4bP6G1CkAADnlt08vi3f9/JnYUutGHGDvHdCnU3z0tANSZwAYvAGA/DCwW3V8/qwxqTOAPLV9d1Nc8qtn47sPzI/mbEvqHACApHbWN8VHb5oen7tjVjR5bQTsg1JXmQM5xO9EAEDeePuRg+OkA3ulzgDyVEtLxPcfWhDv/PnTsXZbXeocAIAk5qzeFuf83xNxx/RVqVOAPHaZq8yBHJJpaWnxET4AIG+s3VYXZ3z30dhe15Q6Bchj3TtWxLffcnCcPLp36hQAgHZz/eSl8T93z42G5mzqFCCPHdCnU9x95fFOdwM5w+ANAOSdPzy/Mj5x64zUGUABuOyE4fHJMw+M8lJv1AAAhWv77sb49B9mxr2z1qZOAfJcaUkmbvvwMXHwoK6pUwD+xrs6AEDeufCwgXHamD6pM4AC8JPHFsdbr50cK7fUpk4BAGgT05ZviTf94HFjN9AqPnjCcGM3kHOc8AYA8tKGHfVxxncfjS21jalTgALQpaosrr5oQrzxoH6pUwAAWkU22xI/e3xxfPO+edGU9RYwsP8O6NMp7rryuKgsK02dAvAPDN4AQN7644zVcdWN01JnAAXk3ZOGxOfPGhOV5d7AAQDy16ad9fGJW2fEI/M2pE4BCoSrzIFc5kpzACBvnXtw/3jT+L6pM4ACcsPTy+KCHz8VizfsTJ0CALBPnl68Kd70g8eN3UCrcpU5kMuc8AYA8trmXQ1xxncfjY07G1KnAAWkuqI0/uf8g+LNhw5MnQIAsEeasy3xw4cXxPcfWhBuMAda06jeneLuq1xlDuQugzcAkPfunbUmPvSbqakzgAL0lsMGxlfOGxfVFWWpUwAAXtW67XXx0Zumx+TFm1KnAAXGVeZAPnClOQCQ995wUL84b2L/1BlAAbr1+ZVxzv89GXPXbE+dAgDwih6dtz7e+P3Hjd1Am/jA8a4yB3KfE94AQEHYVtsYp3/30Vi/oz51ClCAKstK4kvnjI13HDUkdQoAQERENDZn41v3zYufPLY4dQpQoFxlDuQLgzcAUDAefnFd/Nuvp6TOAArY2RP6xdfePD66VJWnTgEAitjKLbVx1Y3TYuryralTgAJVUVYSt19+TIzrX5M6BeB1udIcACgYp4zuExcdNjB1BlDA7p65Js7+wRMxfcXW1CkAQJH686w18aYfPG7sBtrUp8880NgN5A0nvAGAgrK9rjHO/O5jsWZbXeoUoICVlmTiQyeOiKtOHel6PwCgXWytbYgv/3FO3DF9VeoUoMCdeECv+PX7johMJpM6BWCPGLwBgILz5MKN8e5fPBNZr3KANnZgn87xzbdMiAkDu6ZOAQAK2ANz1sZnb5sVG3bWp04BClzPTpVx70ePj56dKlOnAOwxgzcAUJC+ce+L8eNHFqXOAIqA094AQFtxqhtoT5lMxK/fd2SceECv1CkAe8XgDQAUpKbmbLz1J5M91w5oN057AwCtyaluoL1detyw+PzZY1NnAOw1gzcAULBWbK6NN/3g8dhR15Q6BSgSTnsDAPvLqW4ghXH9u8Ttlx8bFWUlqVMA9prBGwAoaPfMXBNX/G5q6gygyDjtDQDsC6e6gRSqK0rjriuPixG9OqVOAdgnBm8AoOD9520z48ZnV6TOAIqM094AwJ5yqhtI6eoLx8fbjhicOgNgnxm8AYCCV9fYHOf83xOxYP3O1ClAETqwT+f41lsOjvEDa1KnAAA56IE56+Kzt78QG3Y41Q20v7PG94sfvfPQ1BkA+8XgDQAUhXlrd8R5P3oi6hqzqVOAIlRakokPnzQirjzFaW8A4CVbaxviK3fNidunOdUNpDGga4f4078fHzUdylOnAOwXgzcAUDR+8/Sy+Pwds1JnAEXMaW8AIMKpbiC90pJM3PTBSXHE0O6pUwD2m8EbACgqH7rh+bh39trUGUARc9obAIqXU91Arvj3U0fFx04/IHUGQKsweAMARWVbbWO86QePx6qtu1OnAEXOaW8AKC5OdQO54oih3eKmDx4dpSWZ1CkArcLgDQAUnSlLN8fbfvp0NGe9DALS+utp74+cPDKqyp32BoBCtHlXQ/z33U51A7mhS1VZ/PmjJ8SArh1SpwC0GoM3AFCU/u+hBfHtB+anzgCIiIjB3avjS+eMjVPH9EmdAgC0kuZsS9z07PL4xn3zYtvuxtQ5ABER8aN3HBpnTeiXOgOgVRm8AYCilM22xDt//kxMXrwpdQrA35w6pnd86exxMbhHdeoUAGA/TFu+Jb5w56yYtWp76hSAv3nr4QPjGxcdnDoDoNUZvAGAorVue1288fuPx+ZdDalTAP6msqwkPnTiiPjwSSNccw4AeWbTzvq4+t55ccuUFalTAP7B8F4d4+4rj4vqirLUKQCtzuANABS1h19cF++/bkp4RQTkmoHdOsSXzhkbp4/tmzoFAHgdzdmW+O0zy+Jb98+L7bubUucA/IOK0pK47fJj4qABNalTANqEwRsAKHr/ddec+OWTS1JnALyikw7sFV8+Z1wM7dkxdQoA8AqeX7YlvnjnrJi92vXlQG76/Flj4tLjh6fOAGgzBm8AoOg1NGXjzdc86fl6QM6qKC2Jy04cHpefNDI6VLjmHABywcad9XH1n1+MW59fmToF4FWdeECv+PX7johMJpM6BaDNGLwBACJiycZdcfYPHo9dDc2pUwBe1cBuHeILZ4+NM8e55hwAUmlqzsZvnlke37l/Xmyvc305kLsGdusQd195XHStrkidAtCmDN4AAC/7w/Mr4xO3zkidAfC6TjygV3zpnLExvFen1CkAUFSeW7o5vnjnrJi7ZkfqFIDXVFlWEr//0DExfqDndgOFz+ANAPB3Pn7z9Lht2qrUGQCvq6K0JC49flh85JSRUV1RljoHAArahh118fU/vxi3TfW9ApAfrr5wfLztiMGpMwDahcEbAODv1DY0xZt//FS8uNaJDSA/9K+pii+cMzbeeFC/1CkAUHCamrNxw9PL4jv3z48d9a4vB/LD2w4fFFdfNCF1BkC7MXgDAPyTpRt3xbk/fMLz+IC8cvyonvHlc8fFCNecA0CreGbJpvjSnbN9GBbIKxMG1sStHzo6KstKU6cAtBuDNwDAK3j4xXXx/uumhFdKQD4pL83EpccNjw+fPCK6VJWnzgGAvLR66+74xr3z4o7pri8H8ku36vK468rjYmC36tQpAO3K4A0A8Cq+9+D8+N6DC1JnAOy1rtXlccXJI+M9k4ZEZbmTHQCwJ7bsaogfP7Iorp+8NOqbsqlzAPZKSSbi1+87Mk44oFfqFIB2Z/AGAHgVLS0tcel1U+KhF9enTgHYJ/1rquJjpx8QFxwyIMpKS1LnAEBOqm1oil89uTSufWSR53QDeesTpx8QV546KnUGQBIGbwCA17C9rjHO++GTsWTjrtQpAPtsZO9O8ekzD4wzxvVNnQIAOaOxORs3P7civv/Qgtiwoz51DsA+O21M7/jZew6PTCaTOgUgCYM3AMDrmL9uR5z/oyejtqE5dQrAfjl0cNf4jzeMjqOG90idAgDJZLMtcc8La+Jb98+LZZtqU+cA7JchParjjx85Lmo6lKdOAUjG4A0AsAfumbkmrvjd1NQZAK3ipAN7xafPPDDG9q9JnQIA7eqx+Rvi6ntfjNmrt6dOAdhvVeUlcfvlx8aYfl1SpwAkZfAGANhDX/vT3PjpY4tTZwC0mvMm9o9PnH5gDO5RnToFANrU9OVb4ur75sXkRZtSpwC0mu+89eB486EDU2cAJGfwBgDYQ83Zlnj3L56Jp7xJBhSQspJMvOOowXHlKaOiV+fK1DkA0KoWrd8Z37x/Xtw7a23qFIBW9e5JQ+K/zz8odQZATjB4AwDshc27GuKc/3siVm3dnToFoFVVV5TGpccPiw8cPzw6V3n+HwD5bc223fH9BxfELVNWRNa7n0CBOXRw17j5sqOjvLQkdQpATjB4AwDspRdWbouLrn0q6puyqVMAWl236vL4yCkj411HDYnK8tLUOQCwV7bWNsQ1jyyKXz+11Ot1oCD17FQRd195fPStqUqdApAzDN4AAPvglikr4tO/n5k6A6DNDOjaIT52+qi44JCBUVqSSZ0DAK9pd0Nz/OrJJXHto4tie11T6hyANlFakokb3n9kHDOiZ+oUgJxi8AYA2Eefu/2F+O0zy1NnALSpUb07xcdOPyDOHNfX8A1AzqlrbI5bpqyIHz68MNbvqE+dA9CmPvPG0fGhE0ekzgDIOQZvAIB91NCUjbf/dHJMXb41dQpAmxves2N86KQRcf7EAVFR5lmBAKS1va4xfvv0svjFE0ti486G1DkAbe4N4/rGte8+LHUGQE4yeAMA7Id12+vi7P97IjY4TQIUiX41VfGB44fH248cFNUVZalzACgyG3fWxy+fWBI3TF4WO+pdXQ4Uh+G9OsYfP3JcdKr0+hvglRi8AQD203NLN8c7fvZ0NDZ7WQUUj27V5fHeY4fFJUcPia7VFalzAChwK7fUxk8fWxw3P7ci6puyqXMA2k3HitK444pjY1SfzqlTAHKWwRsAoBX8+skl8eW75qTOAGh3HStK4x1HDYlLjx8WfbpUpc4BoMDMX7cjrn10Udw5fXU0Z72NCRSXkkzEz95zeJw6pk/qFICcZvAGAGglH795etw2bVXqDIAkKkpL4sLDBsQHTxgRw3p2TJ0DQJ6btnxL/PiRRfHAnHWpUwCS+fxZY+LS44enzgDIeQZvAIBWUtfYHBde81TMXr09dQpAMiWZiDeN7xeXnzQixvavSZ0DQJ55bP6GuOaRRTF58abUKQBJXXzk4Pj6m8enzgDICwZvAIBWtHrr7jj/R0/G+h31qVMAkjvpgF7x4ZNHxFHDeqROASCHNWdb4r7Za+OaRxbFC6u2pc4BSO7YkT3iuvcdGWWlJalTAPKCwRsAoJXNXLk13vaTp2N3Y3PqFICccNiQbnH5SSM8exCAf9DQlI07pq+Kax9ZFIs37kqdA5AThvfqGLdffmzUdChPnQKQNwzeAABt4N5Za+Py3z4fWa+0AP5mdN/O8eGTRsRZ4/s5rQJQxGobmuKmZ1fEzx5fHGu21aXOAcgZXavL447Lj42hPTumTgHIKwZvAIA28pNHF8XX//xi6gyAnDO4e3W879ihceFhA6NLlZMrAMVizbbdceOzy+OGyctiS21j6hyAnFJemokb3n9UTBrucUAAe8vgDQDQhv7ztplx47MrUmcA5KQO5aVxwSED4t1HD4kx/bqkzgGgjTy5cGPc8PSyeGDOumh2BRLAK/rGhRPirUcMSp0BkJcM3gAAbaipORvv/dVz8cTCjalTAHLaYUO6xbsnDYk3ju8blWWlqXMA2E/bdzfGH6aujN88vSwWbfB8boDX8sEThsdn3zQmdQZA3jJ4AwC0se11jXHhj5+KBet3pk4ByHk9OlbE244YFO84anAM7FadOgeAvTRn9ba44ellcce01bG7sTl1DkDOO31sn/jJuw6LkpJM6hSAvGXwBgBoBys218YFP34yNu5sSJ0CkBcymYhTRveOd08aEieM6uUNQIAcVt/YHH+atTZumLwspi7fkjoHIG+M7dclfv/ho6O6oix1CkBeM3gDALSTqcu3xMU/fTrqm7KpUwDyyuDu1fHOowbHWw8fFN06VqTOAeBlKzbXxu+eWR43T1kRm3f5YCfA3ujduTLu/Mix0a+mQ+oUgLxn8AYAaEd3z1wdV944LbwCA9h7lWUlcc7B/eNdk4bExEFdU+cAFKVstiUenb8hbnh6Wfxl3nqvawH2QVV5Sdxy2dExYWDX1CkABcHgDQDQzn748IL41v3zU2cA5LXxA2ri3UcPiXMm9I8OFaWpcwAK3uZdDXHrlBXxm2eWxYrNu1PnAOStTCbiR+84NN40vl/qFICCYfAGAEjgk7fOiN8/vzJ1BkDe69KhLN5y2KB451GDY3ivTqlzAArO9OVb4oanl8XdM9d4NA9AK/jkGQfER04ZlToDoKAYvAEAEmhszsa7f/FMPL14c+oUgIJx7Mge8eZDB8aZ4/pGp8qy1DkAeWvDjvq4e+bq+P3zK2P26u2pcwAKxpsPGRDfedvE1BkABcfgDQCQyNbahnjzj5+KxRt3pU4BKChV5SVxxti+cf4hA+L4UT2jvLQkdRJAzttV3xT3z1kXd0xbFU8s3BjNWW8ZArSmw4d0i99+4KioLPM4HoDWZvAGAEho6cZdccGPn4wttY2pUwAKUveOFXH2hH5xwSED4pDB3VLnAOSUpuZsPLFwY9w+bVXcP3td7G5sTp0EUJAGde8Qd1x+bPToVJk6BaAgGbwBABJ7bunmeOfPnomGZs9EBGhLQ3pUx/kTB8R5E/t73jdQ1Kav2Bp3TFsVd89cHRt3NqTOAShonSvL4rbLj4lRfTqnTgEoWAZvAIAccMe0VfHRm6enzgAoGgcPrInzDxkQZ0/oH706O2kDFL6lG3fFndNXxR3TV8cSj9QBaBcVpSXxi/ceHseP6pU6BaCgGbwBAHLEdx6YHz94aEHqDICiUlqSieNH9YzzJw6IM8b1ieqKstRJAK1m0876uOeFNXHHtFUxdfnW1DkARSWTifj+2w+Jcw/unzoFoOAZvAEAcsi/3zQt7py+OnUGQFGqriiNM8f1jfMn9o9jR/aMstKS1EkAe213Q3M8OHdd3D5tVTw2f0M0Zb31B5DCl88ZG+89dljqDICiYPAGAMgh9U3N8Z5fPBvPLNmcOgWgqPXsVBHnHtw/zps4IA4e1DV1DsBras62xFOLNsYd01bFvbPWxq6G5tRJAEXtIyePjE+eeWDqDICiYfAGAMgxO+oa4+0/fTpmr96eOgWAiBjSozpOG9MnTh/bJw4f0s3JbyAn7G5ojicWbowH566Lh+aui407G1InARARFx85KL7+5gmpMwCKisEbACAHbdxZH2+5dnIs2bgrdQoAf6emQ3mcfGDvOG1s7zjhgF7Rpao8dRJQRNZvr4uHXlwfD81dF48v2Bj1TdnUSQD8nTPG9olr3nVYlJZkUqcAFBWDNwBAjlqxuTYuuvapWLe9PnUKAK+grCQTk4b3iNPG9onTxvSOgd2qUycBBWjumu3x0Nz18eDcdTF9xdbUOQC8iiOHdY/r/+3IqCovTZ0CUHQM3gAAOWz+uh3xlmsnx7bdjalTAHgdY/p1jlPH9InTxvSJCQNqosTJHmAfNDRl49klm+PBueviwbnrYuWW3amTAHgdo/t2jls+dLTbfwASMXgDAOS4qcu3xLt+/kzUNjSnTgFgD/XqXBmnjekdp43pE8eO7OmkD/CattY2xCPzNsRDc9fFI/M2xI76ptRJAOyhQd07xB8+dEz07lKVOgWgaBm8AQDywKPzN8Sl1z0Xjc1eugHkm6rykjh+VK84bUyfOGV07+jVuTJ1EpADlm3a9dIp7jnr49mlm6M563UeQL7p0bEifv/hY2JYz46pUwCKmsEbACBP/HHG6vjoTdPCe6EA+SuTiThkUNeXxu8xvWN03y6pk4B20ticjRkrtv7tedwL1u9MnQTAfuhUWRY3fmBSjB9YkzoFoOgZvAEA8sj1k5fGF++cnToDgFbSo2NFHDW8e0wa3iOOHt4jRvXpnDoJaCVNzdmYtXp7PL14Uzy9aFM8t3Rz7PKIGoCCUFFaEr963xFx7MieqVMACIM3AEDe+d6D8+N7Dy5InQFAG+jRseKl8XtEj5g0vEeM7N0pdRKwh5qaszH7rwP34s3x3NLNsdOzuAEKTkkm4gcXHxJnT+ifOgWAlxm8AQDy0JfunBXXTV6WOgOANtarU2VMevkE+KQRPWJELwM45IrmbEvMWb09Ji/eFE8v3hTPLdkcOwzcAAXvv84bF+85emjqDAD+jsEbACAPtbS0xEdvnh53Tl+dOgWAdtSrc2UcPfyl09+ThneP4QZwaDfN2ZaYu+avJ7g3xbNLNsf2OgM3QDG56pSR8fEzDkydAcA/MXgDAOSpxuZsfOD6KfHIvA2pUwBIpE+XypfH75eeAT60Z8fUSVAwstmWeHHtX09wb45nlmyK7bsN3ADF6uIjB8fX3zw+dQYAr8DgDQCQx3Y3NMe7fvFMPL9sS+oUAHJA3y5VMWl4jzhsSLcYP6BLjO7XJarKS1NnQV7YXtcYc1Zvj5krt8XzyzbH04s3x7bdjamzAMgBZ47rEz9+52FRWpJJnQLAKzB4AwDkuW21jfHWn0yOeet2pE4BIMeUlmTigD6d4qABNTFhQFcjOLxse11jzF61PV5YtS1mrdoWL6zaFks27kqdBUAOOmpY97j+/UdGZZnXTwC5yuANAFAA1m2vi4uufSpWbN6dOgWAHPf3I/j4ATUxYUCNEZyCZtwGYF+N6dclbr5sUnSpKk+dAsBrMHgDABSIpRt3xUXXTo6NO+tTpwCQZ/55BB8/oCbGGMHJQ/88bs9cuTWWbqpNnQVAHhres2PcdNmk6N25KnUKAK/D4A0AUEBmr94Wb//p07Gjril1CgB5zghOrjNuA9BWBnevjlsuOzr61hi7AfKBwRsAoMA8s3hTvOeXz0Z9UzZ1CgAFprQkE4O7V8ewnh1jWM+OMaJXxxjWs1MM69nRG8K0ieZsS6zasjuWbNwZizfuisUbdsWSjS/9tWqrR7kA0PoGdO0QN182KQZ2q06dAsAeMngDABSgv8xbH5fd8Hw0GL0BaCfVFaUxrGfHGN6zYwx7eQgf/vIw3qWD517y2jburP+7MXtnLHl53F62qTYamr2eAaB99OlSGbdcdnQM6dExdQoAe8HgDQBQoB5+cV186Iap3iQGILmenSpePhXeKYb36vi3IXxwj+qoLHNFerHYVd8USzftiiUbdv3dae2Xxu3tHscCQGI9O1XGzZdNihG9OqVOAWAvGbwBAArYQ3PXxYd/Y/QGIDeVZCIGdqv+26nw/l07RO/OldGnS1X0evk/O1WWpc5kD22tbYj1O+pj3fa6WL+jPtZvr4uVW3bH4o0vjdxrt9elTgSAV9S9Y0Xc9MFJcUCfzqlTANgHBm8AgAL34Jx1cflvjd4A5KfqitK/jeC9O1dG77/7zz5dKqN356ro3aUyulS5Nr2tbN7VEOu218WGHfWxfkddrNte/7dB+6W/f+lr9R6lAkAequlQHr+99Kg4aEBN6hQA9pHBGwCgCNw/e21c8bup0djspR8AhamqvCR6d/7HEbxP56ro9fJ/du9YHh0ry6JjZVl0qiyLqvLivUp9V31T1DY0xc765thV3xQbd9b//5PZLw/Y6/86au+o8/oBgILVubIsbrj0qJg4qGvqFAD2g8EbAKBI3Dd7bXzE6A0AERFRWpKJjhWl0bGyLKoryqJTZenfxvC//+/Vlf//7ztWlL08mpf+wz9XXVEWZSWZyGQyUVry0l/7I5ttiWxLS2RbIlpaWqKhORu1Dc2xs77p5bH6///9rvqm2NXw0nC9s74pautf/lrD3/39X7/W0By7GprCO0EA8NItMtf/25Fx+NDuqVMA2E8GbwCAInLvrDXxkd9Ni6asl4AA0NZKMhElmUyUZDKRefnvS0sykYn426CdbWmJlpa//veXfgwAaFsdykvjl+89Io4e0SN1CgCtwOANAFBk/vzCmrjyRqM3AAAAxaeqvCR+eckRcczInqlTAGglJakDAABoX28c3y9+cPEhUbaf160CAABAPqkqL4lfGLsBCo7BGwCgCL1pfL/43tsnGr0BAAAoCpVlJfHz9xwRxxq7AQqOwRsAoEidPaF/fPdtE6PU6A0AAEABqywriZ9fcngcN8rYDVCIDN4AAEXsnIP7x3feerDRGwAAgIJUWVYSP3vP4XH8qF6pUwBoIwZvAIAid97EAUZvAAAACk5FWUn85N2HxQkHGLsBCpnBGwCAOG/igPj2Ww4OmzcAAACF4K9j90kH9k6dAkAbM3gDABAREecfMiC+ZfQGAAAgz1WUlsRP3nVYnGzsBigKBm8AAP7mzYcOjG9eZPQGAAAgP1WWlcS17z40Th5t7AYoFmWpAwAAyC0XHjYwsi0t8R9/mBnZltQ1AAAAsGc6VpTGzy45PI4Z0TN1CgDtyOANAMC/eMvhg6IlIv7jDzOjxegNAABAjqvpUB6/ft8RccjgbqlTAGhnmZYWb2ECAPDKfv/8yviPP8yMZke9AQAAyFE9O1XGDe8/Msb065I6BYAEDN4AALyme2etjatumhYNTdnUKQAAAPAP+tdUxW8uPSqG9+qUOgWARAzeAAC8ricWbIwP3jAlahuaU6cAAABAREQM69kxfnPpUTGga4fUKQAkZPAGAGCPTF2+Jd73q+di2+7G1CkAAAAUudF9O8cN7z8qenWuTJ0CQGIGbwAA9ti8tTvi3b94JtbvqE+dAgAAQJE6eFDXuP59R0ZNdXnqFABygMEbAIC9smzTrnjXL56JFZt3p04BAACgyEwa3j1+cckR0bGyLHUKADnC4A0AwF5bt70u3vXzZ2LB+p2pUwAAACgSp4zuHT9+56FRVV6aOgWAHGLwBgBgn2zZ1RDv/fVzMWPF1tQpAAAAFLizJvSL771tYpSXlqROASDHGLwBANhnu+qb4gPXT4mnFm1KnQIAAECBetvhg+Lrbx4fJSWZ1CkA5CCDNwAA+6W+qTk+8rtp8cCcdalTAAAAKDD/duyw+MLZYyKTMXYD8MoM3gAA7Lem5mx8+vcz47Zpq1KnAAAAUCCuOnVUfPz0A1JnAJDjDN4AALSKlpaW+PIfZ8d1k5elTgEAACDPfe5NY+IDJwxPnQFAHjB4AwDQqr5z/7z4wcMLU2cAAACQh0oyEV+9YHxcfOTg1CkA5AmDNwAAre4XTyyJ/7lnTnilCQAAwJ4qK8nEt996cJw3cUDqFADyiMEbAIA2ccuUFfGft70QzVkvNwEAAHhtFWUl8aN3HBqnj+2TOgWAPGPwBgCgzdw7a01cdeP0aGjOpk4BAAAgR9V0KI+fvefwOHJY99QpAOQhgzcAAG3q8QUb4rIbno/ahubUKQAAkDNWXvNv0bx9/b/8eKdDzoqao94cq659/yv+73qe95noOPq4aN69Izbd852oW/5ClHXrHz3f9O9R0WfE3/65TfdfE+Vd+0SXI9/cZv8O0BoGdusQv37fkTGyd6fUKQDkKYM3AABtburyLfFvv34uttY2pk4BAICc0Fy7LSL7/29Cati4LNbf/Pnoc/HXonLguMjWbv+Hf37HjHtj+7O3xcArro+Sig6x+eGfR8PahdHjDVfGjml/ivqVs6PfJd+LiIj6VS/G5gevjb7v/nZkSkrb818L9sr4ATXxy/ceEb06V6ZOASCPlaQOAACg8B06uFv8/kPHxKDuHVKnAABATiitronSTt3+9tfuhc9GWdd+UTlofGRKSv/ha6WdukXt/MlRfeBxUVLx0mvqxk0rouOYE6K8+4DofPAbonHTioiIaGluik33/yi6n3GFsZucdsro3nHzZZOM3QDsN4M3AADtYmTvTnHbh4+NCQNrUqcAAEBOaWlujF1zHolOE06PTCbzL1+vX7swGtcvjk4Tzvjbj1X0HhZ1y2ZGS7Y5di+ZGuW9hkZExPZn/hBVg8ZHZb9R7ZUPe+2dRw2On73n8KiuKEudAkABMHgDANBuenWujJs+OClOHd07dQoAAOSM2vlPR7ZuZ3Q86NRX/PrOmfdHeY9BUTVwzN9+rGbSWyJKSmPVTy6N2gWTo8cb/z0aN6+KnbMeippj3x6b7vthrLr2/bHhjv+NbP2u9vpXgdeUyUT8xxtGx1cvGB+lJf/64Q4A2Bee4Q0AQLtrzrbEF++cFb99ZnnqFAAASG7dzV+ITGlZ9L7oS//ytWxjfaz80Xui6zFviy5Hvvk1f561N342uhx+bjRtWx+7Fz0XvS/6Umy69/+ipEPn6H7KpW2VD3ukorQkvvmWCXHexAGpUwAoME54AwDQ7kpLMvHVC8bHf7xhdLzCjY0AAFA0mratj7plM6LTwWe+4tdr5z0ZLY31r3r6+692znwgSqo6RvWoSVG34oWoHjUpMqVlUT36uKhf/kJbpMMeq+lQHte//0hjNwBtwuANAEAyHz5pRHzvbROjotTLUgAAitPOFx6I0uqa6DDiiFf++sz7o3rkkVFaXfOqP0dz7bbY+tRN0f20y176gWw2WrJNL3+xKVpasq2dDXtsQNcO8YcPHx2ThvdInQJAgfLOIgAASZ03cUBc//4jo0tVWeoUAABoVy0t2dj5woPR8aBTI1NS+i9fb9yyOupXzH7V099/tfmhn0aXI86Pss49IyKicuCY2DX7L9G4cUXsmHFvVA4Y2yb98HoOGtAlbr/imBjZu3PqFAAKmMEbAIDkJg3vEX/48DExoGuH1CkAANBu6pZOj+btG6LThNNf8es7Zz4QpZ17RtWwQ17159i9+Plo2rImOh961t9+rPOhZ0dZTd9Yc8PHI5qbouuxF7d6O7yekw/sFbdcdnT07lyVOgWAApdpaWlpSR0BAAAREet31MWl102JmSu3pU4BAABgH1185OD4n/MPitKSTOoUAIqAwRsAgJyyu6E5PnrztLhv9rrUKQAAAOyFTCbik2ccGFecPDJ1CgBFxOANAEDOaWlpif/984vxk8cWp04BAABgD1SUlsQ3LpoQ5x8yIHUKAEXG4A0AQM668dnl8YU7ZkVT1ktWAACAXNWlqix+8u7D4+gRPVKnAFCEDN4AAOS0xxdsiMt/OzV21DWlTgEAAOCfDOjaIX79viNiVJ/OqVMAKFIGbwAAct6CdTvifb9+LlZu2Z06BQAAgJeN698lfvXeI6J3l6rUKQAUMYM3AAB5YePO+vjA9VNi2vKtqVMAAACK3lkT+sW3Ljo4OlSUpk4BoMgZvAEAyBt1jc3xiVtnxD0z16ROAQAAKEolmYhPnHFgXHHyyNQpABARBm8AAPJMS0tLfOeB+fHDvywMr2QBAADaT+fKsvj+xRPjlNF9UqcAwN8YvAEAyEt/fmFNfPLWGbGroTl1CgAAQMEb3rNj/PQ9h8fI3p1SpwDAPzB4AwCQt+av2xEfvH5KLN1UmzoFAACgYJ10YK/4wcWHRJeq8tQpAPAvDN4AAOS1bbsb46obp8Wj8zekTgEAACg4HzpxRHz6zAOjpCSTOgUAXpHBGwCAvJfNtsQ3758X1zyyKHUKAABAQagqL4lvXHRwnHtw/9QpAPCaDN4AABSMe2auiU/9fkbUeq43AADAPhvQtUP85N2HxUEDalKnAMDrMngDAFBQXly7PT54/fOxfLPnegMAAOytI4d2j2vedWj06FSZOgUA9ojBGwCAgrOttjGuvGlaPOa53gAAAHvsnUcNji+fOy7KS0tSpwDAHjN4AwBQkLLZlvjGffPi2kc91xsAAOC1lJdm4svnjot3HjUkdQoA7DWDNwAABe2uGavj07+fGbsbPdcbAADgn/XsVBHXvOuwOGJo99QpALBPDN4AABS8uWu2xwdvmBIrNu9OnQIAAJAzxg+oiZ+8+7Do37VD6hQA2GcGbwAAisLW2oa48sZp8fiCjalTAAAAkjtvYv+4+sIJUVVemjoFAPaLwRsAgKLRnG2Jq+99MX762OLUKQAAAEmUZCL+4w2j47ITR6ROAYBWYfAGAKDo3Dl9VXzmDy94rjcAAFBUulSVxQ8uPiROOrB36hQAaDUGbwAAitKc1S8913vlFs/1BgAACt+EgTXxw4sPjcE9qlOnAECrMngDAFC0tuxqiI/cODWeXLgpdQoAAECbueToIfG5s8ZGRVlJ6hQAaHUGbwAAilpztiW+ce+L8dPHF4dXxgAAQCHpXFUW37hwQrxxfL/UKQDQZgzeAAAQEX95cX184tYZsXlXQ+oUAACA/TZ+QE386B2uMAeg8Bm8AQDgZWu31cVVN02LZ5dsTp0CAACwz1xhDkAxMXgDAMDfac62xPcfnB8//MvCyHqlDAAA5JHOlWVx9UUT4k2uMAegiBi8AQDgFTy1cGP8+83TY8OO+tQpAAAAr+ugAV3iR+84NIb06Jg6BQDalcEbAABexcad9fGxm6fH4ws2pk4BAAB4Ve85ekh87qwxUVlWmjoFANqdwRsAAF5DS0tL/PiRRfHdB+ZHkzvOAQCAHOIKcwAweAMAwB6ZsnRzXHXjtFi9rS51CgAAgCvMAeBlBm8AANhDW2sb4pO3zowH565LnQIAABSxd08aEp8/2xXmABBh8AYAgL32iyeWxNV/fjEamrOpUwAAgCLSubIs/vfCCXHWBFeYA8BfGbwBAGAfvLByW3zkxqmxbFNt6hQAAKAIjOvfJX78TleYA8A/M3gDAMA+2lHXGJ+57YW4Z+aa1CkAAEABe9ekwfGFs8e6whwAXoHBGwAA9tNvn1kW/3XXnKhvcsU5AADQejpXlsXXLxwfZ0/onzoFAHKWwRsAAFrBi2u3xxW/nRqLNuxKnQIAABSAiYO6xvfeNjGG9nSFOQC8FoM3AAC0ktqGpvjCHbPjD1NXpk4BAADyVFlJJq46dVRccfLIKC3JpM4BgJxn8AYAgFZ229SV8cU7Z8fO+qbUKQAAQB4Z2btTfPetE2P8wJrUKQCQNwzeAADQBlZsro1P3jojnlmyOXUKAACQ4zKZiEuOHhqfeePoqCovTZ0DAHnF4A0AAG2kpaUlfvHEkvjmffOivimbOgcAAMhB/Wqq4psXHRzHjeqZOgUA8pLBGwAA2tjC9TviYzfPiBdWbUudAgAA5JBzD+4f/33+QVHToTx1CgDkLYM3AAC0g6bmbPzwLwvjhw8vjKasl+AAAFDMajqUx/+cf1Ccc3D/1CkAkPcM3gAA0I5eWLktPn7L9FiwfmfqFAAAIIHjR/WMb150cPStqUqdAgAFweANAADtrK6xOb5137z45ZNLwmFvAAAoDlXlJfGfbxwT7zl6SGQymdQ5AFAwDN4AAJDIM4s3xSd/PyNWbN6dOgUAAGhDEwbWxHffNjFG9OqUOgUACo7BGwAAEtpV3xT/c8+cuPHZFalTAACAVlZWkokrTh4ZV54yMspKS1LnAEBBMngDAEAO+MuL6+M//jAz1u+oT50CAAC0guE9O8Z33jYxJg7qmjoFAAqawRsAAHLE1tqG+Pwds+LumWtSpwAAAPvh3ZOGxGffNCY6VJSmTgGAgmfwBgCAHHPXjNXxhTtnxdbaxtQpAADAXujduTK+cdGEOOnA3qlTAKBoGLwBACAHrd9eF5/+w8x4ZN6G1CkAAMAeOGt8v/jqBQdF1+qK1CkAUFQM3gAAkMNufHZ5/M/dc2JXQ3PqFAAA4BX06VIZXzn3oHjDQX1TpwBAUTJ4AwBAjluxuTY+ceuMeHbJ5tQpAADAyzKZiIuPHByfeePo6FJVnjoHAIqWwRsAAPJANtsSNzy9LL5537zYWd+UOgcAAIra8F4d43/fPCGOHNY9dQoAFD2DNwAA5JE123bHl+6cHffPWZc6BQAAik55aSY+dOKI+MgpI6OyrDR1DgAQBm8AAMhL981eG1+6c3as3V6XOgUAAIrCIYO7xv++eUIc2Ldz6hQA4O8YvAEAIE/trG+Kb977Ytzw9LLIelUPAABtomNFaXzyzAPjkqOHRklJJnUOAPBPDN4AAJDnpi3fEv952wvx4todqVMAAKCgnDK6d/z3+QfFgK4dUqcAAK/C4A0AAAWgqTkbP3t8SXz/oflR15hNnQMAAHmtZ6eK+OI54+Lcg/unTgEAXofBGwAACsjyTbXxuTteiMcXbEydAgAAeemiwwbG588aE12rK1KnAAB7wOANAAAF6I5pq+K/754Tm3Y1pE4BAIC8MLh7dXztgvFx3KieqVMAgL1g8AYAgAK1tbYhvnrP3Lj1+ZWpUwAAIGeVlmTi0uOGxcdOPyCqyktT5wAAe8ngDQAABe6pRRvj87fPisUbd6VOAQCAnDKuf5e4+sIJcdCAmtQpAMA+MngDAEARqG9qjh89vDCufXRxNDRnU+cAAEBSVeUl8bHTDohLjx8epSWZ1DkAwH4weAMAQBFZsG5H/OdtL8SUZVtSpwAAQBLHj+oZXz1/fAzuUZ06BQBoBQZvAAAoMi0tLfG7Z5fH1X9+MbbXNaXOAQCAdjGoe4f4wllj44xxfVOnAACtyOANAABFav2Ouvivu+bE3TPXpE4BAIA206G8NC4/aUR84IThUVVemjoHAGhlBm8AAChykxdtiv+6e07MXbM9dQoAALSqsyf0i8++aUz079ohdQoA0EYM3gAAQDRnW+LGZ5fHdx6YH5t3NaTOAQCA/TK6b+f48rnjYtLwHqlTAIA2ZvAGAAD+Ztvuxvjeg/PjhsnLoinrWwUAAPJLTYfy+MQZB8Q7jxoSpSWZ1DkAQDsweAMAAP9i4fod8ZW75sTjCzamTgEAgNdVkol4+5GD41NnHBjdOlakzgEA2pHBGwAAeFUPzlkX/3PPnFi6qTZ1CgAAvKLDh3SLL587Lg4aUJM6BQBIwOANAAC8poambPzyySXxw4cXxs76ptQ5AAAQERF9ulTGf75xTJx/yIDUKQBAQgZvAABgj2zYUR/fuPfF+P3UleG7CAAAUqkoLYl/O25YXHnKyOhYWZY6BwBIzOANAADslZkrt8aX/zg7pi7fmjoFAIAic8ro3vHFs8fG0J4dU6cAADnC4A0AAOyTO6ativ/984uxdntd6hQAAArcsJ4d4wtnj4lTRvdJnQIA5BiDNwAAsM9qG5rimkcWxU8fWxz1TdnUOQAAFJiOFaVxxSkj49LjhkdFWUnqHAAgBxm8AQCA/bZic2187U9z48+z1qZOAQCgAGQyERdMHBD/8cbR0adLVeocACCHGbwBAIBW89SijfFfd82JF9fuSJ0CAECeOn5Uz/jMG0fHuP41qVMAgDxg8AYAAFpVc7Ylbnx2eXzvwQWxcWd96hwAAPLE2H5d4jNvHB0nHNArdQoAkEcM3gAAQJuobWiKXz25NK59dFHsqGtKnQMAQI4a0LVDfOKMA+KCQwZEJpNJnQMA5BmDNwAA0Ka21jbENY8siusmL426xmzqHAAAckRNh/K44uQRcckxQ6OyrDR1DgCQpwzeAABAu1i3vS6+9+CCuHXKimjK+jYEAKBYVZSVxCVHD4mPnDwqaqrLU+cAAHnO4A0AALSrJRt3xbfvnxf3vLAmfDcCAFA8SjIR500cEJ8444AY2K06dQ4AUCAM3gAAQBKzVm2Lb943Lx6dvyF1CgAAbey0Mb3jk2ceGKP7dkmdAgAUGIM3AACQ1NOLN8U37n0xpi7fmjoFAIBWduSw7vEfbzgwDhvSPXUKAFCgDN4AAEBOeGDOuvjWffNi3rodqVMAANhPY/t1iU+94cA4+cDeqVMAgAJn8AYAAHJGNtsSt09bFd99cH6s3LI7dQ4AAHtpaI/q+PgZB8Y5E/pFJpNJnQMAFAGDNwAAkHMamrLxu2eWxQ//sjA27mxInQMAwOvo06Uyrjp1VLzt8EFRVlqSOgcAKCIGbwAAIGfVNjTFLx5fEj99bHHsqG9KnQMAwD/p3rEiPnjC8HjvMUOjqrw0dQ4AUIQM3gAAQM7bsqshrnl0UVz31NKob8qmzgEAKHo9O1XGB08YFu+aNCSqK8pS5wAARczgDQAA5I0123bHDx9eGLc+vzIaDN8AAO2uT5fKuOyEEfGOowY70Q0A5ASDNwAAkHfWbquLnz62OG58dnnsbmxOnQMAUPAGdO0QHzpxeLz1iEFRWWboBgByh8EbAADIW5t21scvnlgSN0xe5hnfAABtYHD36rj8pBFx4WEDo7y0JHUOAMC/MHgDAAB5b9vuxrjuqaXxqyeXxJbaxtQ5AAB5b1jPjnHFySPj/In9o8zQDQDkMIM3AABQMHbVN8Vvn1kWP3t8SWzYUZ86BwAg74zq3Sk+csrIOHtC/ygtyaTOAQB4XQZvAACg4NQ1NsctU1bETx5dHKu27k6dAwCQ80b37RxXnjIq3nhQ3ygxdAMAecTgDQAAFKzG5mzcPnVV/PiRhbF0U23qHACAnHPQgC5x5Smj4oyxfSKTMXQDAPnH4A0AABS85mxL3D1zdfz4L4ti3rodqXMAAJKbOKhrXHXqyDhldJ/UKQAA+8XgDQAAFI2Wlpa4f866+NFfFsbMldtS5wAAtLsjh3aPK08dGceP6pU6BQCgVRi8AQCAovTo/A3xw4cXxHNLt6ROAQBoc8eM6BFXnjIqjh7RI3UKAECrMngDAABF7ZnFm+KHf1kYjy/YmDoFAKBVlZVk4qwJ/eL9xw2LCQO7ps4BAGgTBm8AAICImLFia/z4kYXxwJx1kfVdEgCQx2o6lMfFRw6OS44ZEv1qOqTOAQBoUwZvAACAv7Ns06745RNL4tbnV0ZtQ3PqHACAPTa0R3W879hh8ZbDB0Z1RVnqHACAdmHwBgAAeAXbdjfGjc8uj+ueWhprttWlzgEAeFVHDese7z9uWJw2pk+UlGRS5wAAtCuDNwAAwGtoas7GPS+siV88sSRmrtyWOgcAICIiykszcfaE/vH+44bFQQNqUucAACRj8AYAANhDzy7ZHD9/fHE8ONdzvgGANGo6lMc7jhoc7z1maPTpUpU6BwAgOYM3AADAXlq2aVf86smlceuUFbHLc74BgHYwrGfH+Ldjh8ZFhw2KDhWlqXMAAHKGwRsAAGAf7ahrjFumrIzrJy+NZZtqU+cAAAVo0vDucelxw+PUMb0jk/F8bgCAf2bwBgAA2E/ZbEv8Zd76+PVTS+OJhRvDd1kAwP4oL83EORP6x/uPHxbj+ns+NwDAazF4AwAAtKKF63fGdU8tjdumrnTdOQCwV7pWl8c7jxoclxw9NHp7PjcAwB4xeAMAALSB7XWNcctzK+KGp5e57hwAeE3jB9TEO44aHOdPHOD53AAAe8ngDQAA0Iay2ZZ4+MX1cd1k150DAP9fp8qyOHdi/3jHkYPjoAGuLQcA2FcGbwAAgHaybNOuuPm5FXHr8ytjw4761DkAQAITBtbExUcOjnMP7h8dK8tS5wAA5D2DNwAAQDtras7Gwy+uj5ueWxGPzt8QzVnflgFAIXOaGwCg7Ri8AQAAElqzbXfcOmVl3DJlRazcsjt1DgDQig7+62nuif2jusJpbgCAtmDwBgAAyAEtLS3x+IKNcfNzK+KBOeuioTmbOgkA2AedXz7NfbHT3AAA7cLgDQAAkGM27ayP26auipueWx6LNuxKnQMA7IGDB3WNdxw5KM452GluAID2ZPAGAADIYc8t3Rw3Pbsi/vTCmtjd2Jw6BwD4O50ry+K8Q146zT2uv9PcAAApGLwBAADywPa6xrhz+uq46dnlMXv19tQ5AFDUnOYGAMgdBm8AAIA8M2vVtrjpueVx57TVsaO+KXUOABSFLlUvPZv7HUcOibH9u6TOAQDgZQZvAACAPLW7oTnueWFN3PTs8piybEvqHAAoOBVlJXHq6N5x3sQBcfLoXlFZVpo6CQCAf2LwBgAAKAAL1++MO6evij/OWB3LNtWmzgGAvFWSiThqWI+44JAB8YbxfaNLVXnqJAAAXoPBGwAAoMBMX7E17py+Ku6euSY27KhPnQMAeWFsvy5x/iH949yDB0TfmqrUOQAA7CGDNwAAQIHKZlti8uJN8cfpq+PPs9bE9jrP+waAvzega4c4b2L/OP+QAXFAn86pcwAA2AcGbwAAgCLQ0JSNR+atjztnrI6H5q6LusZs6iQASKJrdXmcNb5fnH/IgDh8SLfIZDKpkwAA2A8GbwAAgCKzq74p7p+zNv44fXU8vmBjNGV9WwhAYasqL4lTx/SJ8ycOiJMO7BXlpSWpkwAAaCUGbwAAgCK2eVdD/OmFNfHHGavjuaWbw3eIABSKkkzEMSN6xnkT+8cbx/eLTpVlqZMAAGgDBm8AAAAiImL11t1x98zVcef01TF79fbUOQCwTw4a0CXOnzggzj24f/TuUpU6BwCANmbwBgAA4F8s2rAz7py+Ou6asTqWbNyVOgcAXtPYfl3izHF946wJ/WJk706pcwAAaEcGbwAAAF7TzJVb44/TV8e9s9fGyi27U+cAQJSWZOLwId3ijHF944yxfWJQ9+rUSQAAJGLwBgAAYI/NXbM9HpyzLh6Yuy5eWLXNM78BaDeVZSVx/Kiecca4vnHamD7RvWNF6iQAAHKAwRsAAIB9snZbXTwwd108MGddPL1oUzQ0Z1MnAVBgulSVxalj+sQZY/vEiQf2iuqKstRJAADkGIM3AAAA+21nfVM8Om9DPDBnbfxl3obYtrsxdRIAeapvl6o4fWyfOHNc3zhqePcoLy1JnQQAQA4zeAMAANCqmpqz8eySzX87/e253wC8nhG9OsaZ4/rGGeP6xsEDayKTyaROAgAgTxi8AQAAaFNz12yPB+a8NH6/sGpb6hwAckAmEzFhYNc4c1yfOGNs3xjZu1PqJAAA8pTBGwAAgHbjud8Axau8NBOThveIM8b2idPH9o2+NVWpkwAAKAAGbwAAAJLYUdcYj87fEA/MWRd/eXF9bK9rSp0EQCsb0qM6jh/VM44f1SuOGdEjOleVp04CAKDAGLwBAABIrqk5G1OWbYknF26MxxdsjBdWbYvmrG9XAfJN56qyOGZEjzh+VK84YVSvGNyjOnUSvKL3vve9cd1118XXv/71+MxnPvO3H7/jjjviggsuiP152/zXv/51fPSjH42tW7e2QikA8HrKUgcAAABAWWlJTBreIyYN7xGfOOPA2La7MSYv2hRPLtwYTy7cGIs37kqdCMArKC3JxMEDa14auA/oGRMHdYvSkkzqLNgjVVVVcfXVV8dll10W3bp1S50DAOyjktQBAAAA8M9qOpTHGw7qG/99/kHx8CdPiic/c0p848IJce7B/aNnp4rUeQBFbVD3DvGOowbHte86NKZ98fS47fJj42OnHxCHDelu7CavnHbaadG3b9/4+te//pr/3B/+8IcYN25cVFZWxtChQ+Pb3/72Xv3/zJgxI04++eTo3LlzdOnSJQ477LCYMmVKREQsW7YszjnnnOjWrVt07Ngxxo0bF3/6058i4qWT4l27dv2Hn+uOO+6ITOYff53deeedceihh0ZVVVUMHz48vvKVr0RTk0fFAFA8nPAGAAAg5w3o2iHeesSgeOsRg6KlpSXmrtnx0vXnCzfGc0s2x+7G5tSJAAWrc2VZTBrRI054+VncQ3t2TJ0EraK0tDS+9rWvxTve8Y646qqrYuDAgf/yzzz//PPx1re+Nb785S/H2972tnjqqafi8ssvjx49esR73/vePfr/eec73xmHHHJIXHPNNVFaWhrTp0+P8vKXnmd/xRVXRENDQzz22GPRsWPHmDNnTnTq1GmP/x0ef/zxeM973hM/+MEP4vjjj49FixbFBz/4wYiI+NKXvrTHPw8A5DODNwAAAHklk8nE2P5dYmz/LvGBE4ZHQ1M2nl+2JZ5YuCGeWLgpXli5NTz+G2DflWQixg/sGieM6hknHNArDhnUNcpKXRRJYbrgggti4sSJ8aUvfSl+8Ytf/MvXv/Od78Spp54aX/jCFyIi4oADDog5c+bEN7/5zT0evJcvXx6f+tSnYvTo0RERMWrUqH/42oUXXhjjx4+PiIjhw4fvVf9XvvKV+MxnPhOXXHLJ3/73//3f/x2f/vSnDd4AFA2DNwAAAHmtoqwkjh7RI44e0SM+dWbEttrGmLx4YzyxcGM8sWBjLN1UmzoRIOcN6VEdRw/vEceP6hXHjewZNdXlqZOg3Vx99dVxyimnxCc/+cl/+drcuXPjvPPO+4cfO/bYY+N73/teNDc3R2lp6ev+/B//+Mfj0ksvjRtuuCFOO+20eMtb3hIjRoyIiIirrroqPvzhD8f9998fp512Wlx44YUxYcKEPW6fMWNGPPnkk/HVr371bz/W3NwcdXV1UVtbG9XV1Xv8cwFAvjJ4AwAAUFBqqsvjDQf1izcc1C8iIlZuqX3p+vMFG+PZJZtj/Y76xIUAaZWVvHRTxuFDuscRQ7vFYUO7Re/OVamzIJkTTjghzjzz/7V3L69113kDxz/n5H5yT5s+prW1XkitTJ+nj2PxD3ChgvjQWijqQhdVuolUpIu6qFdQEBFE3LiwSzdCN6XoxlUQccbL4PQZccZL7XXsNJf2JGlOLrM4p2mjHbyMzskneb3g8Pv9viGnnwQCyXn3+zt3xv79+3/yru2f4+mnn44HHnggDh8+HEeOHImnnnoq3nrrrdi+fXvs3r077rzzzjh8+HC8++678cILL8TLL78cQ0NDUSwWY35+8W1rKpXKousLFy7EM888Ezt27PjBv9va6ucagJVB8AYAAGBZu7a3FLu2bYhd2zZERMS35ybio2Mj8cdvqo+/nD4fs+6BDixjHS2N8b8behYC99YNPVFq9rIgXOnFF1+MrVu3xqZNmxatb968OYaHhxetDQ8Px+Dg4E/a3X3J4OBgDA4OxuOPPx73339/vPnmm7F9+/aIiFi/fn3s2bMn9uzZE/v374833ngjhoaGor+/P86fPx/lcjna29sjIuKTTz5Z9Ly33nprfP7553HTTTf9gq8aAJYHv9kCAACwoqzvK8X6vlL839Z1ERFRvjgTn347Gn+oBfCPj43E+NRMnacE+OWu6WqN32/sjW3X9cZtG/ti80BXNBQL9R4LlrQtW7bEgw8+GK+++uqi9SeeeCK2bdsWzz33XOzatSvef//9eO211+L111//Sc87OTkZ+/bti507d8b1118fx48fjw8//DDuu+++iIjYu3dv3H333TE4OBgjIyPx3nvvxebNmyMi4vbbb49SqRRPPvlkPPbYY/HBBx/EwYMHFz3/gQMH4p577okNGzbEzp07o1gsxqeffhqfffZZPP/88//+NwYAEijMf/+eKAAAALCCzc/Pxxd/v7CwA/yjb0biy7Pleo8FcFWFQsTgms5q4N7YG7dd1xfr+7xnL/yYhx9+OEZHR+PQoUMLa19//XVs2rQppqenF91K/O23344DBw7EF198EQMDAzE0NHTV9/u+5ODBg7F3794YHR2N6enpeOihh2J4eDjOnDkTq1evjh07dsRLL70Ura2tMTQ0FEeOHInjx49HV1dX3HXXXfHKK6/EqlWrIiLi0KFDsW/fvjhx4kTccccdce+998ajjz66aL533nknnn322fj444+jqakpbr755ti9e3c88sgjv/43DgCWIMEbAAAAfsS58vSiAP6nE6MxVZmr91jACtTSWIz/ubYnbtvYG7dt7I3fb+iL7lJTvccCAIC6EbwBAADgZ6rMzsWfT44vBPA/fjMSp8en6j0WsAyt62mL/762O7aur0buLet6ormxWO+xAABgyRC8AQAA4FdwfGQiPjo2Gp+dGIujJ8fj6KnxOFeervdYQCLretpiy7ru2HJtd/W4rjt625vrPRYAACxpgjcAAAD8Rk6NTVbjdy2AHz01HsfOTYS/xIEr4/bvanG7T9wGAICfTfAGAACA/6ALF2fi/0+NLwrhn585H9Mz3hMclqPGYiFu6G+PWwa64pa1XXHLQHfcsrZL3AYAgF+J4A0AAAB1NjM7F3/7rhxHT12+HfrRk+MxMlGp92jAz9DR0hg3X9NZC9vVwD34X53R2tRQ79EAAGDZErwBAABgibryluh/roXwb0fcEh3qrbWpGNev7ogb+9vjhv6OauQe6IrrVpWiUCjUezwAAFhRBG8AAABI5PxUJf769wvx1dlyfHW2HF+eLcdX35Xj63+UY2J6tt7jwbKyprMlbuzviBvXtMcNqzvixjXVyL2up03YBgCAJULwBgAAgGXi9NhUfHm2FsO/q8Xws+X49txEzMz58x+uprmxGBtXlaphu78jbuhvXzh2tjbVezwAAOBHCN4AAACwzM3MzsWxcxM/2BX+1dlynB6fqvd48B+xuqO5tku7fVHYXt9bimLRbm0AAMhK8AYAAIAVbGJ6Jr6sxe8rg/ixf5RjZKJS7/HgJys1N8RAd2us7WmLdT1tC8eNq9vjpv6O6C7ZrQ0AAMuR4A0AAABc1cT0TJwcnYyTo1O142ScuHQ+NhmnxqZiemau3mOyAjQUC7GmsyXW9rTFQHfrQtCuPqrXPaXmeo8JAADUgeANAAAA/CLz8/Px3YWLC0H81NhUnBmvPk4vnF+MycpsvUdlietsbVyI2N/fpb22pzWu6WqNxoZivccEAACWIMEbAAAA+E2NTVZ+EMJP12L4SHk6RiamY2yyEqMTlZiZ8zLFclAoRHS3NUVfqTl625ujt9Qcfe1N0dveHKtq16s7W2JtdzVod7a63TgAAPDLCN4AAADAknF+qhq+RycqMTIxHaOTlRidmF64HqsdRyYqMTZZPR+frIRO/tvqaGmM3vbLAXvheEXM7mtvqUbtUnP0lJqjoVio99gAAMAKIHgDAAAAqc3Nzcf41L+K5JU4P1WJqcpcXKzMxtTMbFyszMXUzGxMVeZiqjJbe8zFxSs+VpnN+3JJY7EQbc0N0dbUsOhYqp23Nl0+b2tujLbadWttrdTcEN1tTbWQ3Ry97U3R0thQ7y8LAADgqgRvAAAAgO+ZnZu/HMNnarF8IZTXwviVAb0yG5deYClERKFQiELh8nUUCrX1S2vVj1/aA109ry5cXrv8OZc+r1goRKkWqb8fsy+F7CbvdQ0AAKwggjcAAAAAAAAAKfkvvwAAAAAAAACkJHgDAAAAAAAAkJLgDQAAAAAAAEBKgjcAAAAAAAAAKQneAAAAAAAAAKQkeAMAAAAAAACQkuANAAAAAAAAQEqCNwAAAAAAAAApCd4AAAAAAAAApCR4AwAAAAAAAJCS4A0AAAAAAABASoI3AAAAAAAAACkJ3gAAAAAAAACkJHgDAAAAAAAAkJLgDQAAAAAAAEBKgjcAAAAAAAAAKQneAAAAAAAAAKQkeAMAAAAAAACQkuANAAAAAAAAQEqCNwAAAAAAAAApCd4AAAAAAAAApCR4AwAAAAAAAJCS4A0AAAAAAABASoI3AAAAAAAAACkJ3gAAAAAAAACkJHgDAAAAAAAAkJLgDQAAAAAAAEBKgjcAAAAAAAAAKQneAAAAAAAAAKQkeAMAAAAAAACQkuANAAAAAAAAQEqCNwAAAAAAAAApCd4AAAAAAAAApCR4AwAAAAAAAJCS4A0AAAAAAABASoI3AAAAAAAAACkJ3gAAAAAAAACkJHgDAAAAAAAAkJLgDQAAAAAAAEBKgjcAAAAAAAAAKQneAAAAAAAAAKQkeAMAAAAAAACQkuANAAAAAAAAQEqCNwAAAAAAAAApCd4AAAAAAAAApCR4AwAAAAAAAJCS4A0AAAAAAABASoI3AAAAAAAAACkJ3gAAAAAAAACkJHgDAAAAAAAAkJLgDQAAAAAAAEBKgjcAAAAAAAAAKQneAAAAAAAAAKQkeAMAAAAAAACQkuANAAAAAAAAQEqCNwAAAAAAAAApCd4AAAAAAAAApCR4AwAAAAAAAJCS4A0AAAAAAABASoI3AAAAAAAAACkJ3gAAAAAAAACkJHgDAAAAAAAAkJLgDQAAAAAAAEBKgjcAAAAAAAAAKQneAAAAAAAAAKQkeAMAAAAAAACQkuANAAAAAAAAQEqCNwAAAAAAAAApCd4AAAAAAAAApCR4AwAAAAAAAJCS4A0AAAAAAABASoI3AAAAAAAAACkJ3gAAAAAAAACkJHgDAAAAAAAAkJLgDQAAAAAAAEBKgjcAAAAAAAAAKQneAAAAAAAAAKQkeAMAAAAAAACQkuANAAAAAAAAQEqCNwAAAAAAAAApCd4AAAAAAAAApCR4AwAAAAAAAJCS4A0AAAAAAABASoI3AAAAAAAAACkJ3gAAAAAAAACkJHgDAAAAAAAAkJLgDQAAAAAAAEBKgjcAAAAAAAAAKQneAAAAAAAAAKQkeAMAAAAAAACQkuANAAAAAAAAQEqCNwAAAAAAAAApCd4AAAAAAAAApCR4AwAAAAAAAJCS4A0AAAAAAABASoI3AAAAAAAAACkJ3gAAAAAAAACkJHgDAAAAAAAAkJLgDQAAAAAAAEBKgjcAAAAAAAAAKQneAAAAAAAAAKQkeAMAAAAAAACQkuANAAAAAAAAQEqCNwAAAAAAAAApCd4AAAAAAAAApCR4AwAAAAAAAJCS4A0AAAAAAABASoI3AAAAAAAAACkJ3gAAAAAAAACkJHgDAAAAAAAAkJLgDQAAAAAAAEBKgjcAAAAAAAAAKQneAAAAAAAAAKQkeAMAAAAAAACQkuANAAAAAAAAQEqCNwAAAAAAAAApCd4AAAAAAAAApCR4AwAAAAAAAJCS4A0AAAAAAABASoI3AAAAAAAAACkJ3gAAAAAAAACkJHgDAAAAAAAAkJLgDQAAAAAAAEBKgjcAAAAAAAAAKQneAAAAAAAAAKQkeAMAAAAAAAC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      "text/plain": [
       "<Figure size 2000x2000 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Calculate the frequency of each category in 'ComplianceIssue' column for the 2022 data\n",
    "compliance_issue_freq_2022 = data['ComplianceIssue'].value_counts()\n",
    "\n",
    "# Plotting a pie chart for the 'ComplianceIssue' frequencies in the 2022 dataset\n",
    "plt.figure(figsize=(20, 20))\n",
    "compliance_issue_freq_2022.plot.pie(autopct='%1.0f%%', startangle=160, pctdistance=0.85)\n",
    "plt.title('Compliance Issue Distribution in 2022 Data')\n",
    "plt.ylabel('')  # Remove the y-label as it's not needed for pie charts\n",
    "\n",
    "# Draw a circle at the center to make it a donut chart\n",
    "centre_circle = plt.Circle((0,0),0.70,fc='white')\n",
    "fig = plt.gcf()\n",
    "fig.gca().add_artist(centre_circle)\n",
    "\n",
    "plt.tight_layout()\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "8.278508771929824"
      ]
     },
     "execution_count": 14,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "missing_rate_2022['TotalGHGEmissions']\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "count    3344.000000\n",
       "mean        1.045526\n",
       "std         2.088541\n",
       "min         0.010000\n",
       "25%         0.110000\n",
       "50%         0.280000\n",
       "75%         1.130000\n",
       "max        42.350000\n",
       "Name: GHGEmissionsIntensity, dtype: float64"
      ]
     },
     "execution_count": 16,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data_2022['GHGEmissionsIntensity'].describe()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1000x600 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Plotting the distribution of \"GHGEmissionsIntensity\" in the 2022 dataset\n",
    "plt.figure(figsize=(10, 6))\n",
    "sns.histplot(data=data, x='GHGEmissionsIntensity', kde=True, color='green')\n",
    "plt.title('Distribution of GHG Emissions Intensity in 2022')\n",
    "plt.xlabel('GHG Emissions Intensity (kgCO2e/ft²)')\n",
    "plt.ylabel('Frequency')\n",
    "\n",
    "plt.tight_layout()\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1600x600 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# bloxplot\n",
    "# Set the style of seaborn\n",
    "sns.set_style(\"whitegrid\")\n",
    "\n",
    "# Creating boxplots for 'SiteEnergyUse(kBtu)' and 'ENERGYSTARScore'\n",
    "fig, ax = plt.subplots(1, 2, figsize=(16, 6))\n",
    "\n",
    "sns.boxplot(data=data, y='TotalGHGEmissions', ax=ax[0])\n",
    "ax[0].set_title('TotalGHGEmissions')\n",
    "ax[0].set_ylabel('GHG Emissions')\n",
    "\n",
    "# ENERGYSTARScore\n",
    "sns.boxplot(data=data, y='GHGEmissionsIntensity', ax=ax[1])\n",
    "ax[1].set_title('GHGEmissionsIntensity')\n",
    "ax[1].set_ylabel('Emissions Intensity')\n",
    "\n",
    "plt.tight_layout()\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "count    3.344000e+03\n",
       "mean     2.124829e-17\n",
       "std      1.000150e+00\n",
       "min     -4.958875e-01\n",
       "25%     -4.480000e-01\n",
       "50%     -3.665913e-01\n",
       "75%      4.045232e-02\n",
       "max      1.977967e+01\n",
       "Name: GHGEmissionsIntensity_zscore, dtype: float64"
      ]
     },
     "execution_count": 19,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "from scipy.stats import zscore\n",
    "\n",
    "data_2022['GHGEmissionsIntensity_zscore'] = zscore(data_2022['GHGEmissionsIntensity'].dropna())\n",
    "data_2022['GHGEmissionsIntensity_zscore'].describe()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th>ComplianceIssue</th>\n",
       "      <th>Account Requires Verification</th>\n",
       "      <th>Default Data</th>\n",
       "      <th>Missing EUI or Utility Data</th>\n",
       "      <th>Missing EUI or Utility Data and Account Requires Verification</th>\n",
       "      <th>Missing EUI, Incomplete Natural Gas Data</th>\n",
       "      <th>No Issue</th>\n",
       "      <th>Portfolio Manager Not Connected to the City of Seattle</th>\n",
       "      <th>Unknown - Contact the Help Desk</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Neighborhood</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>BALLARD</th>\n",
       "      <td>3</td>\n",
       "      <td>1</td>\n",
       "      <td>4</td>\n",
       "      <td>0</td>\n",
       "      <td>18</td>\n",
       "      <td>110</td>\n",
       "      <td>10</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>CENTRAL</th>\n",
       "      <td>3</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>21</td>\n",
       "      <td>85</td>\n",
       "      <td>7</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>DELRIDGE NEIGHBORHOODS</th>\n",
       "      <td>3</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>7</td>\n",
       "      <td>66</td>\n",
       "      <td>3</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>DOWNTOWN</th>\n",
       "      <td>13</td>\n",
       "      <td>3</td>\n",
       "      <td>13</td>\n",
       "      <td>3</td>\n",
       "      <td>60</td>\n",
       "      <td>488</td>\n",
       "      <td>33</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>EAST</th>\n",
       "      <td>15</td>\n",
       "      <td>3</td>\n",
       "      <td>10</td>\n",
       "      <td>9</td>\n",
       "      <td>72</td>\n",
       "      <td>348</td>\n",
       "      <td>42</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>GREATER DUWAMISH</th>\n",
       "      <td>3</td>\n",
       "      <td>11</td>\n",
       "      <td>10</td>\n",
       "      <td>4</td>\n",
       "      <td>69</td>\n",
       "      <td>234</td>\n",
       "      <td>33</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>LAKE UNION</th>\n",
       "      <td>2</td>\n",
       "      <td>3</td>\n",
       "      <td>4</td>\n",
       "      <td>0</td>\n",
       "      <td>25</td>\n",
       "      <td>241</td>\n",
       "      <td>16</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>MAGNOLIA / QUEEN ANNE</th>\n",
       "      <td>7</td>\n",
       "      <td>2</td>\n",
       "      <td>7</td>\n",
       "      <td>3</td>\n",
       "      <td>36</td>\n",
       "      <td>376</td>\n",
       "      <td>31</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>NORTH</th>\n",
       "      <td>2</td>\n",
       "      <td>3</td>\n",
       "      <td>2</td>\n",
       "      <td>0</td>\n",
       "      <td>10</td>\n",
       "      <td>120</td>\n",
       "      <td>9</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>NORTHEAST</th>\n",
       "      <td>6</td>\n",
       "      <td>3</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>40</td>\n",
       "      <td>238</td>\n",
       "      <td>26</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>NORTHWEST</th>\n",
       "      <td>4</td>\n",
       "      <td>1</td>\n",
       "      <td>3</td>\n",
       "      <td>1</td>\n",
       "      <td>24</td>\n",
       "      <td>182</td>\n",
       "      <td>11</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>SHARED: BALLARD &amp; LAKE UNION</th>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>5</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>SHARED: BALLARD &amp; NORTHWEST</th>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>SHARED: CENTRAL &amp; EAST</th>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>6</td>\n",
       "      <td>21</td>\n",
       "      <td>6</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>SHARED: GREATER DUWAMISH &amp; DELRIDGE NEIGHBORHOODS</th>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>SHARED: LAKE UNION &amp; NORTHWEST</th>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>8</td>\n",
       "      <td>3</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>SHARED: NORTH &amp; NORTHWEST</th>\n",
       "      <td>2</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>36</td>\n",
       "      <td>2</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>SOUTHEAST</th>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>7</td>\n",
       "      <td>92</td>\n",
       "      <td>5</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>SOUTHWEST</th>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>0</td>\n",
       "      <td>18</td>\n",
       "      <td>147</td>\n",
       "      <td>8</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>water</th>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "ComplianceIssue                                    Account Requires Verification   \n",
       "Neighborhood                                                                       \n",
       "BALLARD                                                                        3  \\\n",
       "CENTRAL                                                                        3   \n",
       "DELRIDGE NEIGHBORHOODS                                                         3   \n",
       "DOWNTOWN                                                                      13   \n",
       "EAST                                                                          15   \n",
       "GREATER DUWAMISH                                                               3   \n",
       "LAKE UNION                                                                     2   \n",
       "MAGNOLIA / QUEEN ANNE                                                          7   \n",
       "NORTH                                                                          2   \n",
       "NORTHEAST                                                                      6   \n",
       "NORTHWEST                                                                      4   \n",
       "SHARED: BALLARD & LAKE UNION                                                   0   \n",
       "SHARED: BALLARD & NORTHWEST                                                    0   \n",
       "SHARED: CENTRAL & EAST                                                         0   \n",
       "SHARED: GREATER DUWAMISH & DELRIDGE NEIGHBORHOODS                              0   \n",
       "SHARED: LAKE UNION & NORTHWEST                                                 0   \n",
       "SHARED: NORTH & NORTHWEST                                                      2   \n",
       "SOUTHEAST                                                                      0   \n",
       "SOUTHWEST                                                                      1   \n",
       "water                                                                          0   \n",
       "\n",
       "ComplianceIssue                                    Default Data   \n",
       "Neighborhood                                                      \n",
       "BALLARD                                                       1  \\\n",
       "CENTRAL                                                       1   \n",
       "DELRIDGE NEIGHBORHOODS                                        1   \n",
       "DOWNTOWN                                                      3   \n",
       "EAST                                                          3   \n",
       "GREATER DUWAMISH                                             11   \n",
       "LAKE UNION                                                    3   \n",
       "MAGNOLIA / QUEEN ANNE                                         2   \n",
       "NORTH                                                         3   \n",
       "NORTHEAST                                                     3   \n",
       "NORTHWEST                                                     1   \n",
       "SHARED: BALLARD & LAKE UNION                                  0   \n",
       "SHARED: BALLARD & NORTHWEST                                   0   \n",
       "SHARED: CENTRAL & EAST                                        0   \n",
       "SHARED: GREATER DUWAMISH & DELRIDGE NEIGHBORHOODS             1   \n",
       "SHARED: LAKE UNION & NORTHWEST                                0   \n",
       "SHARED: NORTH & NORTHWEST                                     1   \n",
       "SOUTHEAST                                                     0   \n",
       "SOUTHWEST                                                     1   \n",
       "water                                                         0   \n",
       "\n",
       "ComplianceIssue                                    Missing EUI or Utility Data   \n",
       "Neighborhood                                                                     \n",
       "BALLARD                                                                      4  \\\n",
       "CENTRAL                                                                      0   \n",
       "DELRIDGE NEIGHBORHOODS                                                       1   \n",
       "DOWNTOWN                                                                    13   \n",
       "EAST                                                                        10   \n",
       "GREATER DUWAMISH                                                            10   \n",
       "LAKE UNION                                                                   4   \n",
       "MAGNOLIA / QUEEN ANNE                                                        7   \n",
       "NORTH                                                                        2   \n",
       "NORTHEAST                                                                    1   \n",
       "NORTHWEST                                                                    3   \n",
       "SHARED: BALLARD & LAKE UNION                                                 0   \n",
       "SHARED: BALLARD & NORTHWEST                                                  0   \n",
       "SHARED: CENTRAL & EAST                                                       0   \n",
       "SHARED: GREATER DUWAMISH & DELRIDGE NEIGHBORHOODS                            0   \n",
       "SHARED: LAKE UNION & NORTHWEST                                               0   \n",
       "SHARED: NORTH & NORTHWEST                                                    0   \n",
       "SOUTHEAST                                                                    0   \n",
       "SOUTHWEST                                                                    2   \n",
       "water                                                                        0   \n",
       "\n",
       "ComplianceIssue                                    Missing EUI or Utility Data and Account Requires Verification   \n",
       "Neighborhood                                                                                                       \n",
       "BALLARD                                                                                            0              \\\n",
       "CENTRAL                                                                                            0               \n",
       "DELRIDGE NEIGHBORHOODS                                                                             0               \n",
       "DOWNTOWN                                                                                           3               \n",
       "EAST                                                                                               9               \n",
       "GREATER DUWAMISH                                                                                   4               \n",
       "LAKE UNION                                                                                         0               \n",
       "MAGNOLIA / QUEEN ANNE                                                                              3               \n",
       "NORTH                                                                                              0               \n",
       "NORTHEAST                                                                                          2               \n",
       "NORTHWEST                                                                                          1               \n",
       "SHARED: BALLARD & LAKE UNION                                                                       0               \n",
       "SHARED: BALLARD & NORTHWEST                                                                        0               \n",
       "SHARED: CENTRAL & EAST                                                                             0               \n",
       "SHARED: GREATER DUWAMISH & DELRIDGE NEIGHBORHOODS                                                  0               \n",
       "SHARED: LAKE UNION & NORTHWEST                                                                     0               \n",
       "SHARED: NORTH & NORTHWEST                                                                          0               \n",
       "SOUTHEAST                                                                                          0               \n",
       "SOUTHWEST                                                                                          0               \n",
       "water                                                                                              0               \n",
       "\n",
       "ComplianceIssue                                    Missing EUI, Incomplete Natural Gas Data   \n",
       "Neighborhood                                                                                  \n",
       "BALLARD                                                                                  18  \\\n",
       "CENTRAL                                                                                  21   \n",
       "DELRIDGE NEIGHBORHOODS                                                                    7   \n",
       "DOWNTOWN                                                                                 60   \n",
       "EAST                                                                                     72   \n",
       "GREATER DUWAMISH                                                                         69   \n",
       "LAKE UNION                                                                               25   \n",
       "MAGNOLIA / QUEEN ANNE                                                                    36   \n",
       "NORTH                                                                                    10   \n",
       "NORTHEAST                                                                                40   \n",
       "NORTHWEST                                                                                24   \n",
       "SHARED: BALLARD & LAKE UNION                                                              0   \n",
       "SHARED: BALLARD & NORTHWEST                                                               1   \n",
       "SHARED: CENTRAL & EAST                                                                    6   \n",
       "SHARED: GREATER DUWAMISH & DELRIDGE NEIGHBORHOODS                                         2   \n",
       "SHARED: LAKE UNION & NORTHWEST                                                            1   \n",
       "SHARED: NORTH & NORTHWEST                                                                 1   \n",
       "SOUTHEAST                                                                                 7   \n",
       "SOUTHWEST                                                                                18   \n",
       "water                                                                                     2   \n",
       "\n",
       "ComplianceIssue                                    No Issue   \n",
       "Neighborhood                                                  \n",
       "BALLARD                                                 110  \\\n",
       "CENTRAL                                                  85   \n",
       "DELRIDGE NEIGHBORHOODS                                   66   \n",
       "DOWNTOWN                                                488   \n",
       "EAST                                                    348   \n",
       "GREATER DUWAMISH                                        234   \n",
       "LAKE UNION                                              241   \n",
       "MAGNOLIA / QUEEN ANNE                                   376   \n",
       "NORTH                                                   120   \n",
       "NORTHEAST                                               238   \n",
       "NORTHWEST                                               182   \n",
       "SHARED: BALLARD & LAKE UNION                              5   \n",
       "SHARED: BALLARD & NORTHWEST                               1   \n",
       "SHARED: CENTRAL & EAST                                   21   \n",
       "SHARED: GREATER DUWAMISH & DELRIDGE NEIGHBORHOODS         2   \n",
       "SHARED: LAKE UNION & NORTHWEST                            8   \n",
       "SHARED: NORTH & NORTHWEST                                36   \n",
       "SOUTHEAST                                                92   \n",
       "SOUTHWEST                                               147   \n",
       "water                                                     2   \n",
       "\n",
       "ComplianceIssue                                    Portfolio Manager Not Connected to the City of Seattle   \n",
       "Neighborhood                                                                                                \n",
       "BALLARD                                                                                           10       \\\n",
       "CENTRAL                                                                                            7        \n",
       "DELRIDGE NEIGHBORHOODS                                                                             3        \n",
       "DOWNTOWN                                                                                          33        \n",
       "EAST                                                                                              42        \n",
       "GREATER DUWAMISH                                                                                  33        \n",
       "LAKE UNION                                                                                        16        \n",
       "MAGNOLIA / QUEEN ANNE                                                                             31        \n",
       "NORTH                                                                                              9        \n",
       "NORTHEAST                                                                                         26        \n",
       "NORTHWEST                                                                                         11        \n",
       "SHARED: BALLARD & LAKE UNION                                                                       0        \n",
       "SHARED: BALLARD & NORTHWEST                                                                        0        \n",
       "SHARED: CENTRAL & EAST                                                                             6        \n",
       "SHARED: GREATER DUWAMISH & DELRIDGE NEIGHBORHOODS                                                  0        \n",
       "SHARED: LAKE UNION & NORTHWEST                                                                     3        \n",
       "SHARED: NORTH & NORTHWEST                                                                          2        \n",
       "SOUTHEAST                                                                                          5        \n",
       "SOUTHWEST                                                                                          8        \n",
       "water                                                                                              0        \n",
       "\n",
       "ComplianceIssue                                    Unknown - Contact the Help Desk  \n",
       "Neighborhood                                                                        \n",
       "BALLARD                                                                          0  \n",
       "CENTRAL                                                                          0  \n",
       "DELRIDGE NEIGHBORHOODS                                                           0  \n",
       "DOWNTOWN                                                                         2  \n",
       "EAST                                                                             0  \n",
       "GREATER DUWAMISH                                                                 1  \n",
       "LAKE UNION                                                                       0  \n",
       "MAGNOLIA / QUEEN ANNE                                                            0  \n",
       "NORTH                                                                            0  \n",
       "NORTHEAST                                                                        0  \n",
       "NORTHWEST                                                                        0  \n",
       "SHARED: BALLARD & LAKE UNION                                                     0  \n",
       "SHARED: BALLARD & NORTHWEST                                                      0  \n",
       "SHARED: CENTRAL & EAST                                                           0  \n",
       "SHARED: GREATER DUWAMISH & DELRIDGE NEIGHBORHOODS                                0  \n",
       "SHARED: LAKE UNION & NORTHWEST                                                   0  \n",
       "SHARED: NORTH & NORTHWEST                                                        0  \n",
       "SOUTHEAST                                                                        0  \n",
       "SOUTHWEST                                                                        0  \n",
       "water                                                                            0  "
      ]
     },
     "execution_count": 20,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Grouping the data by 'Neighborhood' and 'ComplianceIssue' to understand the frequency of compliance issues across neighborhoods\n",
    "neighborhood_compliance_issue_freq = data.groupby(['Neighborhood', 'ComplianceIssue']).size().unstack(fill_value=0)\n",
    "\n",
    "# Display the grouped data\n",
    "neighborhood_compliance_issue_freq"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th>ComplianceIssue</th>\n",
       "      <th>Account Requires Verification</th>\n",
       "      <th>Missing EUI or Utility Data</th>\n",
       "      <th>Missing EUI or Utility Data and Account Requires Verification</th>\n",
       "      <th>Missing EUI, Incomplete Natural Gas Data</th>\n",
       "      <th>Portfolio Manager Not Connected to the City of Seattle</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Neighborhood</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>BALLARD</th>\n",
       "      <td>0</td>\n",
       "      <td>3</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>10</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>CENTRAL</th>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>7</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>DELRIDGE NEIGHBORHOODS</th>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>DOWNTOWN</th>\n",
       "      <td>1</td>\n",
       "      <td>12</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>33</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>EAST</th>\n",
       "      <td>1</td>\n",
       "      <td>9</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>42</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>GREATER DUWAMISH</th>\n",
       "      <td>0</td>\n",
       "      <td>8</td>\n",
       "      <td>2</td>\n",
       "      <td>0</td>\n",
       "      <td>33</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>LAKE UNION</th>\n",
       "      <td>0</td>\n",
       "      <td>3</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>16</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>MAGNOLIA / QUEEN ANNE</th>\n",
       "      <td>0</td>\n",
       "      <td>6</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>31</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>NORTH</th>\n",
       "      <td>0</td>\n",
       "      <td>2</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>9</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>NORTHEAST</th>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>26</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>NORTHWEST</th>\n",
       "      <td>0</td>\n",
       "      <td>3</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>11</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>SHARED: CENTRAL &amp; EAST</th>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>6</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>SHARED: LAKE UNION &amp; NORTHWEST</th>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>SHARED: NORTH &amp; NORTHWEST</th>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>SOUTHEAST</th>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>SOUTHWEST</th>\n",
       "      <td>0</td>\n",
       "      <td>2</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>8</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "ComplianceIssue                 Account Requires Verification   \n",
       "Neighborhood                                                    \n",
       "BALLARD                                                     0  \\\n",
       "CENTRAL                                                     0   \n",
       "DELRIDGE NEIGHBORHOODS                                      0   \n",
       "DOWNTOWN                                                    1   \n",
       "EAST                                                        1   \n",
       "GREATER DUWAMISH                                            0   \n",
       "LAKE UNION                                                  0   \n",
       "MAGNOLIA / QUEEN ANNE                                       0   \n",
       "NORTH                                                       0   \n",
       "NORTHEAST                                                   0   \n",
       "NORTHWEST                                                   0   \n",
       "SHARED: CENTRAL & EAST                                      0   \n",
       "SHARED: LAKE UNION & NORTHWEST                              0   \n",
       "SHARED: NORTH & NORTHWEST                                   0   \n",
       "SOUTHEAST                                                   0   \n",
       "SOUTHWEST                                                   0   \n",
       "\n",
       "ComplianceIssue                 Missing EUI or Utility Data   \n",
       "Neighborhood                                                  \n",
       "BALLARD                                                   3  \\\n",
       "CENTRAL                                                   0   \n",
       "DELRIDGE NEIGHBORHOODS                                    1   \n",
       "DOWNTOWN                                                 12   \n",
       "EAST                                                      9   \n",
       "GREATER DUWAMISH                                          8   \n",
       "LAKE UNION                                                3   \n",
       "MAGNOLIA / QUEEN ANNE                                     6   \n",
       "NORTH                                                     2   \n",
       "NORTHEAST                                                 1   \n",
       "NORTHWEST                                                 3   \n",
       "SHARED: CENTRAL & EAST                                    0   \n",
       "SHARED: LAKE UNION & NORTHWEST                            0   \n",
       "SHARED: NORTH & NORTHWEST                                 0   \n",
       "SOUTHEAST                                                 0   \n",
       "SOUTHWEST                                                 2   \n",
       "\n",
       "ComplianceIssue                 Missing EUI or Utility Data and Account Requires Verification   \n",
       "Neighborhood                                                                                    \n",
       "BALLARD                                                                         0              \\\n",
       "CENTRAL                                                                         0               \n",
       "DELRIDGE NEIGHBORHOODS                                                          0               \n",
       "DOWNTOWN                                                                        1               \n",
       "EAST                                                                            0               \n",
       "GREATER DUWAMISH                                                                2               \n",
       "LAKE UNION                                                                      0               \n",
       "MAGNOLIA / QUEEN ANNE                                                           0               \n",
       "NORTH                                                                           0               \n",
       "NORTHEAST                                                                       1               \n",
       "NORTHWEST                                                                       0               \n",
       "SHARED: CENTRAL & EAST                                                          0               \n",
       "SHARED: LAKE UNION & NORTHWEST                                                  0               \n",
       "SHARED: NORTH & NORTHWEST                                                       0               \n",
       "SOUTHEAST                                                                       0               \n",
       "SOUTHWEST                                                                       0               \n",
       "\n",
       "ComplianceIssue                 Missing EUI, Incomplete Natural Gas Data   \n",
       "Neighborhood                                                               \n",
       "BALLARD                                                                0  \\\n",
       "CENTRAL                                                                0   \n",
       "DELRIDGE NEIGHBORHOODS                                                 0   \n",
       "DOWNTOWN                                                               0   \n",
       "EAST                                                                   0   \n",
       "GREATER DUWAMISH                                                       0   \n",
       "LAKE UNION                                                             0   \n",
       "MAGNOLIA / QUEEN ANNE                                                  0   \n",
       "NORTH                                                                  0   \n",
       "NORTHEAST                                                              0   \n",
       "NORTHWEST                                                              1   \n",
       "SHARED: CENTRAL & EAST                                                 0   \n",
       "SHARED: LAKE UNION & NORTHWEST                                         0   \n",
       "SHARED: NORTH & NORTHWEST                                              0   \n",
       "SOUTHEAST                                                              0   \n",
       "SOUTHWEST                                                              0   \n",
       "\n",
       "ComplianceIssue                 Portfolio Manager Not Connected to the City of Seattle  \n",
       "Neighborhood                                                                            \n",
       "BALLARD                                                                        10       \n",
       "CENTRAL                                                                         7       \n",
       "DELRIDGE NEIGHBORHOODS                                                          3       \n",
       "DOWNTOWN                                                                       33       \n",
       "EAST                                                                           42       \n",
       "GREATER DUWAMISH                                                               33       \n",
       "LAKE UNION                                                                     16       \n",
       "MAGNOLIA / QUEEN ANNE                                                          31       \n",
       "NORTH                                                                           9       \n",
       "NORTHEAST                                                                      26       \n",
       "NORTHWEST                                                                      11       \n",
       "SHARED: CENTRAL & EAST                                                          6       \n",
       "SHARED: LAKE UNION & NORTHWEST                                                  3       \n",
       "SHARED: NORTH & NORTHWEST                                                       2       \n",
       "SOUTHEAST                                                                       5       \n",
       "SOUTHWEST                                                                       8       "
      ]
     },
     "execution_count": 22,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "filtered_data = data[data['TotalGHGEmissions'].isnull()]\n",
    "\n",
    "# Grouping the data by 'Neighborhood' and 'ComplianceIssue' to understand the frequency of compliance issues across neighborhoods\n",
    "neighborhood_compliance_issue_freq = filtered_data.groupby(['Neighborhood', 'ComplianceIssue']).size().unstack(fill_value=0)\n",
    "\n",
    "# Display the grouped data\n",
    "neighborhood_compliance_issue_freq"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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snnvuOXTr1g0A0KJFiyIHf93Ibrdj6dKlMJvNAICcnBxMnToVMTExiIiIwLx589CoUSPMnz/fdZEHBQVh8uTJxR7TaDSiT58+2LZtGyZNmuQ67p49ezBhwgQAwIEDBxAaGophw4ZBpVKhXbt2MJlMZR6AfuN7ITs7G0ePHsXs2bMRGhpaaOyF3W7H22+/7epKK8n1Ybfb7/jczp8/H0ajEStWrHA9lx07dkSvXr2wZMmSQpXWY4895noeOnbsiJ07d+KXX35xXVM6nQ6BgYG3vabi4+NdFXZxz4PTja0nCQkJrvEDt5ORkYGMjAzUq1fvjucQBOGOTfavvfZaofeyk8lkwqFDhwp97dFHH8Xo0aNd33/88cfRokUL/Oc//wEANGnSBD/99BP++ecfV7P3jQ4cOIDOnTu7PhS0b98eJpPJFcRKe+0tX74cqamp+PHHH1GrVi0ABV1oo0aNwpw5c/Dggw9CpSr4DNq4cWPMnj3b9bNHjhzBjh07AAApKSlleo8WpSx1anldo3eqi5zHdirqmn700Uexbds27N+/Hx06dAAAbNy4EZ06dUKNGjVK9Vw4BQcHAygYlAoUBJhOnTph7ty5rtenc+fO2L17N/bv34/+/fuX+d5TUn5+fli4cKHr/REfH4958+YhLS2tyPtOUX7++Wd8//33GD58OPz9/V2/383PMwD4+PgU24ptsVgwdepU6HS6Ij/YOM2dOxfnz58v1SD2UgeYv/7665aKSKVSFUpU586dw5UrVzB+/PhClU7btm1hNpvx22+/FarcmzZt6vr74cOHYbfbcf/99xc6x+uvvw6goLkvOjoaY8eOLRSmateujQYNGuC3335zBRgArhAAwHUx39iNdTNncszJyUFcXBzi4+Nx9OhRAHC92f/8809ERUW53kQAUKtWrULn+vPPPyFJEnr27FnoOejZsycWLVqEv//+G7169brl/AcOHLjlWAAwYMAArF+/HtHR0a5KqDT69euHmTNnIjs7G2azGVu3bkXz5s1Rt27d2/5cy5YtodfrMWjQIPTt2xf33nsv2rdv76rAfXx80LBhQ7zxxhvYt28funTpgnvvvRfTpk277XEbNmxY6I3gfC7z8vJgtVpx6NAhTJgwoVBC79u3L6ZMmXLb4/7rX//C999/jyNHjqBFixbYtWsXrFarK7h16NABa9euxcCBA9GrVy9069YNDz30UJkGnhd3U27ZsiXefvvtQgN4AwICCo0DKsn1cd99993xuf3zzz/Rrl07GAwG13HMZjPatGmD33//vVC5br6mQkJCbvteKEpRn3TtdnuRz8OpU6dcfw8ODi42KD/77LO3PT5Q8Anu5jqhVq1at7Qq3uz5558vchBvUcHnxufHGTpuvGk4K/6srKwiz9W+fXt88803uHLlCrp164Zu3bq5bsZA6a+9AwcOICoqyhVenAYMGIBp06YhNjbW9Wn15tAZEhLimg1WtWrVMr1Hi1PaOrW8rtE71UUl0alTJ9SsWRM//PADOnTogCtXruCPP/7A3LlzS3yMmzlbc5yv48MPP4yHH34Y+fn5iIuLw4ULFxATEwOHwwGbzVbscUpy7ympyMjIQte4s+7Jy8srUYD56aef8OKLL6J169auhoTi3ptORV3H2dnZmDBhAo4ePYpPPvnklmsZKHj+5s6diy+//BJjx4695X1+O6UOMM2bN8eMGTNcBdbr9ahRo0ahm1F6ejoAYMaMGa7H3igpKanQv318fG752cDAwCLPn5mZCVEU8cUXX+CLL7645fs3z3y4eRaISqW67dz71NRUTJ8+HTt37oQgCKhbt66rdcj5c6mpqUVW2FWrVnX1Ozt/j+K6aK5evVrk1zMyMlyJ/uZjAyg02LY0evfujbfffts1G2n79u146KGH7vhzoaGh+Prrr/H5559j/fr1WLlyJfz8/DB06FC88MILrhHmixYtws8//4yNGzdCq9WiV69emDFjBvz9/Ys87s2zppyfVERRRHp6OhwOxy1dCGq1GgEBAbctb/v27VG9enVs3boVLVq0wNatW9GuXTvXG7hfv34QRRGrV692NdPWqlULL730Uom6JG50801Zp9MhJCSkyN/5xmscKNn1UZLnNj09Hdu2bStyNtnN76HSvheKUqtWLdfYHieNRlNojNa3336Lb7/9ttBjdDrdLf3dN37PqUqVKjCZTLeco0aNGoXOsWDBglvGOhVX3uLOe7OiPlnebnbfzV577TWEhIRg06ZNeOedd/DOO+8gKioKb731Fpo0aVLqay8jI6PImVJF1QVFvZ9uvLGW5T1anNJeR+V1jZakLroTlUqFgQMHYvny5Zg+fTp++OEHmM1m9O7d+44/W5wrV64A+F9IsFgseOedd/DDDz/AbrcjNDQUUVFR0Gg0d33vKanb1a93smLFCrz33nto164dFixY4Lqn3thafrPs7Gz4+voW+trly5cxfvx4xMXF4aOPPiryA7vVanUNgB47duwdP6DerNQBxsfH544Vgp+fHwBgypQpRU5hu90bxvmzqamphfrjEhMTER8fj4iICAiCgFGjRhVZ+ZemwinKSy+9hNjYWKxYsQJRUVHQ6XTIy8srVCGHhIQUGiDndGN/rvP3+PLLL2+5eQFAzZo1izy/v79/kf3Szua7kjb/3SwwMBAdOnTAjh070KJFC5w8ebLEg9ZubG7++++/sXbtWnz22Wdo0qQJHnjgAVSvXh1vvfUWpk+fjpMnT2LHjh344osvUKVKlTJNyQ4KCoJWq73lOXaGm9tRqVR46KGHsGXLFjzzzDP47bffXNP7nB588EE8+OCDyMrKwr59+/DFF1/g5ZdfRuvWrQu1qt3J7W7Kd1LS6+NOz62vry86derk6vq4UVEDYO9Wz5498fnnn+PixYuFbq43Pg+//PLLXZ9jz549rtZC4Nbn+k5BVg46nQ7PPvssnn32WSQmJmLPnj1YuHAhXnzxRde4rNJcezc229+oLHVBeb9HS6M8r9E71UUlMXDgQCxYsAD//e9/XTPZ7mbKv7MVqW3btgCAWbNm4ccff8THH3+MTp06uQazOmf1FKck956KJEkSZs2aha+++goPPvggZs+eXejDhY+PD6pXr37L/SklJQU5OTlo0KCB62unTp3C2LFjkZ+fj2XLlrmemxtlZWXh6aefxuHDh/Hqq6/iySefLHWZK2Ql3rCwMAQFBeHSpUuIjIx0/alevTo++OAD12yQorRo0QJarRZ79uwp9PVly5Zh8uTJMJlMaNasGWJjYwsdu1GjRpg3b16pF5VyJlOnv//+G/fffz/at2/vevH++9//Avhfem3bti0OHz5cqHJJSkrC4cOHXf92Jue0tLRC5UxNTcUnn3xS7I24bdu2SEhIuKV/ftOmTdBqtaVqLr2ZczbS+vXr0bp16xJNbV6xYgV69OgBq9UKnU6Hjh07ugYdJiYm4tChQ+jUqROOHDkCQRDQtGlTTJo0CY0bNy40I6001Go1WrVqdctsi927d99xATOgoBvpypUrWLBgAdRqdaEmyRdeeMHVrO/r64sHHngAzz33HOx2+y0tgxWpJNdHSZ7bdu3a4ezZs2jatKnrGBEREVixYgV+/vnnUpXp5vdCUYYNG4aAgAC88sorRfZ5OxwOxMbGluq8N3v66adht9vx+uuvF9l07lyDw51YLBb06dMHy5YtA1AQQIcNG4b+/fu7XqvSXntt27bFoUOHbmmN2rRpE4KDg+/Y/etUEe/R27n5Oiqva/ROdVFJygIUtMp17NgRK1euRExMDAYOHFiK366w7OxsLF++HOHh4WjVqhWAgntI+/btXZMKAODYsWNITU0t1AJSlntPRfrwww/x1VdfYfTo0Xj//fcLhRenzp0745dffin0vvzxxx+hVqtdY4ouX76M0aNHQxAErFmzpsjwYrfb8cwzz+Do0aP46KOPyhRegDK0wJSEWq3GpEmT8Oabb0KtVqNHjx7IzMzEwoULcfXq1dsO5gsMDMTIkSOxYsUK6HQ6tGvXDtHR0VizZg2mTJkClUrlGvj44osvYsCAAXA4HFi2bBmio6Px3HPPlaqsfn5++Oeff/DXX3+hTZs2aNGiBTZv3ozmzZsjJCQE//zzDz7//HMIguDqUx45ciRWrVqFsWPHuiqkhQsXwmazuZoxw8PDMWDAALzxxhtISEhARESEqyktNDS0yEGKQMGng9WrV2PChAmYOHEiQkNDsXv3bnz33Xd4/vnnXZ/cy6J3796YPn06VqxYUeTAxqJ06NAB77//PiZMmIDhw4dDrVbjm2++gU6nQ48ePVCrVi0YDAZMmTIF//73v1G1alX8/vvviImJuavFlSZOnIgRI0Zg4sSJGDRoEBITE/HJJ58AKLqv9UaNGzdG06ZNsXr1ajzwwAOFugY6dOiA6dOn47333sO9996LzMxMzJ8/H/Xq1XNNJ4+Pj0dqamqFrslRkuvDbrff8bl97rnnMGTIEIwfPx5PPPEE9Ho91q5di507d+LTTz8tVZn8/Pxw4sQJHDhwAC1atChyEb7q1atj/vz5+M9//oMBAwZg8ODBaN68OVQqFY4dO4bvvvsO58+fL3LRxNI8N3PnzsW0adMwcOBADBo0COHh4bDb7Th06BDWr1+Pa9eu3TLToSjx8fGFPljcyN/f/5YZFWVlMBjQvHlzzJ8/H1qtFuHh4YiLi8P333/vGtxfkmvvRqNHj8amTZswatQoPP/88wgICMDGjRvx559/4t133y1R4AQKBrNWxHu0ODfXqeV1jd6pLiquLEVd04MGDcLkyZPRoEGDEg+OPXv2rKulJj8/H7Gxsfjqq6+QlpaGTz75xFUvtWjRAtu3b8eaNWvQoEEDV2v3jfeQop6nktx7KkpMTAy++OILREZGom/fvrfMenKOWRw3bhy2bt2KcePGYfTo0Th//jw+/PBDPP74465W45kzZyIlJQUzZsxAdnZ2ofef2WxGw4YNsWrVKhw8eBCDBw9GSEjILe/Rkta9FRJggILR5D4+PliyZAnWrl0Lk8mEVq1a4f3337/jCpgvv/wygoKC8M0332DJkiUIDQ3FG2+8gSFDhgAomK2xdOlSzJ8/HxMnToRWq0Xz5s2xfPnyUt90nnnmGSxcuBBPPfUUtm3bhv/7v/9z9V8DBTOnZsyYgU2bNuHgwYMACi68lStXYtasWZgyZQp8fHwwdOhQGI3GQnPfZ8+ejcWLF7sG9gUFBaFfv3544YUXip09YTQa8dVXX+GDDz7AJ598guzsbISFhWHWrFkYNGhQqX63m/n5+aFLly7Yu3dvoRlTt9OkSRN89tlnWLBgASZPngyHw4GIiAgsW7bM1cW3bNkyfPDBB5g1axYyMzNRr149vP3223f1yaZNmzaYN28ePvnkEzz33HOoVasW3njjDUyaNKnILpeb/etf/8L//d//3XIjHTJkCGw2G7755husXr0aBoMBHTt2xMsvvwytVgugIIx+//33hQahVoQ7XR9qtfqOz22TJk2watUqfPTRR5gyZQokSULjxo2xYMEC3HfffaUqz5gxY/Duu+9i7NixWL58uauV6GZt2rTB5s2bsWbNGldXhNVqRY0aNdChQwd89NFHaNas2V09N3369EFERATWrFmD9evXIyEhAZIkoXbt2ujXrx+GDBlS7IeAGy1atKjYrtL77rsPCxcuvKty3ujtt9/Gxx9/jGXLliE5ORlBQUEYNGiQaxZTSa69GwUHB2PNmjX44IMPMHPmTNhsNjRp0gQLFy4s1Wur1+sr5D1anJvr1PK6RktSF92suGu6W7duEAShVL//jV3RWq0W1apVQ4cOHTB+/PhCrWGvvPIKbDYbPv74Y1itVoSGhuLZZ5/F2bNnsXv3bjgcDqjV6jLdeyrKTz/9BEmScPToUQwePPiW769cuRLt27dHgwYNsGzZMsyZMwcTJ05ElSpVMGrUKEycOBFAwZgWZxdyUV2T7dq1w1dffYWffvoJQMF0cuc08huVtO4VJO4mVWrR0dFIT08vNBvIbreje/fu6N+/f5lH99P/7Nq1CyEhIYVa686cOYMHH3yw1BU4EdGNtm3bhilTpuDXX3+97XpD5N4qrAXGkyUmJmLSpEmYMGEC2rVrh7y8PKxduxZZWVl4/PHH5S6eR9i3bx+2bduGl156CfXr18fVq1exaNEihIWFoUuXLnIXj4gUaOfOnTh69Ci++eYbDBw4kOFF4RhgyuCBBx5Aeno6Vq9ejaVLl0Kr1aJly5b4+uuvC43EprKbOnUqDAYDFi1ahKSkJAQEBLh2f72bGQNE5L0uXbqEL7/8stD6JqRc7EIiIiIixamQadREREREFYkBhoiIiBSHAYaIiIgUhwGGiIiIFIcBhoiIiBSHAYaIiIgUhwGGiIiIFIcBhoiIiBSHAYaIiIgUhwGGiIiIFIcBhoiIiBSHAYaIiIgUhwGGiIiIFIcBhoiIiBSHAYaIiIgUhwGGiIiIFIcBhoiIiBSHAYaIiIgUhwGGiIiIFIcBhoiIiBSHAYaIiIgUhwGGiIiIFIcBhoiIiBSHAYaIiIgUhwGGiIiIFIcBhoiIiBSHAYaIiIgUhwGGiIiIFIcBhoiIiBSHAYaIiIgUhwGGiIiIFIcBhoiIiBSHAYaIiIgUhwGGiIiIFIcBhoiIiBSHAYaIiIgUhwGGiIiIFIcBhoiIiBSHAYaIiIgUhwGGiIiIFIcBhoiIiBSHAYaIiIgUhwGGiIiIFIcBhoiIiBSHAYaIiIgUhwGGiIiIFIcBhoiIiBSHAYaIiIgUhwGGiIiIFIcBhoiIiBRHI3cBiMh9SZIEEQAkQBAAlSAU+RibCEiQ/ve16/+RbnicSgDUggBVMccpdE7pfz8j3OaxROS9GGCIvJRDlIoMJVaHBItDRK5dRLZNQp694O+59oK/5zmk6/8WkWeXYHFIxZyheAIAtQCoVQLUAqARBBg1AsxaFcxaFXy1atff/XQq+GpVMKiFQmGGQYfIuwmSJJW+9iEixRCvv8WdQcUmSkix2HE1z4FreXZcsziQbSsII7kO0RUK3I0KgM/1UHPjH9/r/w/Uq+GvU0EQBFfLkZqhhshjMcAQeQhRKujEcd60HaKE1HwHrubZkZznwDVLQVjJsIryFrQC6VQCgo1qhBg1qG7SoIZJgyCDGipnqJEKWn2ISPkYYIgU6MYWBlGSkJ7vKGhRsRSElWSLHen5IvjmLuiqqmpQo7pJg+pGDWqaNAg2aqBR/S/osQuKSHkYYIgUwiFJUF9vSbiSa0dslg0XsmxIyLGhDMNQvJoAINCgRnWjBiEmDUKMaoSYtNCpCwKhAAYaInfHAEPkphySBBUKbqRp+Q7EZlpxPsuG+Gwb8plYyp0AoKaPBmF+OjTy16GaUQPperfc7WZNEZE8GGCI3MSNn/xzbCLisgoCy4UsG7JsnjtuxV35aASE+enQwE+HMD8ddGrB1QpGRPJjgCGSkfOGaHVIiM+2Ii7LhvNZNqRYHHIXjW6gAlDLrEGD660zQQa2zhDJjQGGqJI5Q0uOTcSJtHycTM/H5Rw72MaiHH5aVUHrjL8W9Xx10KrYOkNU2RhgiCqB8+ZmcYiISctHTJoVF7NtnCXkAdQCEGrWorG/Ds2r6GHQqCBKEltmiCoYAwxRBZFEEYJKBUkUcTbLhsPXLIjLsrntQnF091QC0MBPh8hAPRr66+CMMJzRRFT+uJljOevZsyfCw8MRHh6OJk2aICoqCkOGDMHevXtLdZw//vgD586dK1MZXnnlFYSHh2P+/Pm3fC87OxsRERHo2bMnAGD//v0IDw8v03mcNmzY4Dqet5MkCZJY0BnkiI9H3tatgCDAYpdwLpPhxdOJEnAmw4oNcVmYdzQVOy/lICnPcf17fPGJyhMDTAV49dVXsW/fPvz6669Yu3YtWrVqhfHjx+P3338v8TFGjRqFa9eulbkMWq0Wu3fvvuXrv/zyC+x2u+vfUVFR2LdvX5nPAwD9+vXD+vXr7+oYSic5Cm5SUkYG8n/9FZkff4ycL7+E9eBB2OPi0NhPK3MJqbLlOST8fc2C5afSsSQmDQeTLbA4CsItwwzR3eNmjhXA19cXwcHBAIDq1atjypQpSE5OxuzZs7F58+ZKKUPr1q2xf/9+XL16FdWrV3d9fefOnbjnnnuQlJQEANDpdK6ylpXBYIDBYLirYyiV5HBAUKthj42F9c8/YY+NveUxtuhomMLCEOqjwaUcexFHIU93zeLA7oQc/JqYgyYBerQKNqCWj5YDf4nuAltgKsngwYNx+vRpXLhwAQBw9uxZjB07FlFRUYiMjMTQoUNdXUbO7piRI0di3rx5AIB169ahb9++iIiIQPv27TFjxgw4HMVPta1RowaaNWtWqBXGarVi3759hbp7bu5CWrlyJXr06IHIyEgMHDgQBw8edH3vww8/RJcuXdCiRQuMGDECZ86cAVC4C2n//v3o2bMnVq9eja5du+Kee+7Byy+/DKvV6jrOpk2b0KtXL7Rs2RIvvvgiJk+e7Po9lcDZTSTZbLD+8w+y5s9H7urVRYYXALDFxECy2dAlxFTJJSV345CA42n5+Op0BpbGpOHwNQusDqngmmKrDFGpMMBUkgYNGgAoCC6iKOKZZ55BrVq18MMPP+Cbb76Bw+HA3LlzAcDVHTNv3jyMGTMGBw4cwMyZMzF58mTs2LEDM2bMwPr167Fr167bnrNnz56FAswff/yBhg0bomrVqkU+/sSJE5gzZw6mT5+O7du3o02bNnjhhRcgiiJ+/vlnrF27Fh9//DG2bNmCqlWrYtq0aUUeJykpCT/++COWLFmCefPm4aeffsLGjRsBAAcPHsSrr76KcePGYcOGDTAajdi2bVupnku5OMe2SDk5sOzejawPP4Rl2zaIKSm3/0GbDbYTJ1DbpK6EUpJSJFsc+PlSDuYdS8GOi9lIt7J7iag02IVUSXx9fQEAOTk5sFgsGDJkCIYOHQqTqeBT+SOPPIIlS5YAAAIDAwEA/v7+8PHxgclkwqxZs3D//fcDAEJDQ7F8+XKcOXPG9bWi9OrVC4sXL0Zubi5MJhN27tyJ3r17F/v4hIQECIKAmjVrIjQ0FC+88AJ69OgBURSRkJAArVaLmjVrombNmnjjjTcQW1yLg82G119/HY0aNUJ4eDi6du2Ko0eP4vHHH8eaNWvQr18/DBkyBADw1ltv3fUYnIrm7CYSr1xB/u+/wxYTA4ilW7XFduQIdC1bIjJQj6Op+RVUUlIimwhEp+TjSEo+mlbRo2sNE6ro1ZyKTXQHDDCVJDs7GwBgNpthMpnwxBNPYOPGjTh27BhiY2Nx4sSJYltGIiIiYDAY8Omnn+Ls2bM4deoULly4gC5dutz2nE2aNEFwcDD27duHXr16Yffu3VizZk2hbqEbdenSBY0bN8ZDDz2EZs2a4b777sNjjz0GjUaD/v374+uvv8Z9992He+65B7169cKgQYOKPXfdunVdfzebza6Bw6dOncLgwYNd39NoNIiIiLjt7yEXyeEAVCrYT51C/h9/wHHpUpmPZY+Lg5idjbbVjAwwVCQJwIm0fMSk5aNJFR26hvgg0MAgQ1QcdiFVklOnTgEAGjVqhJycHAwaNAhbtmxBWFgYJk6ciClTphT7s3v37sXAgQNx7do1dO3aFZ9++ilatWpVovM6u5EOHz6MwMBA1KlTp9jHGo1GrFu3Dl9++SXatWuHDRs2YODAgbh69SqCg4Oxfft2LFq0CI0bN8bSpUvx+OOPIy8vr8hj6XS6Qv929u+r1epb+vrdre/fOaPIduIEsufPR+66dXcVXgoOKsF25AiCdQI0vBfRbUgAYtKs+CImDRvjMpGWz2nYREVhC0wl+e6779C8eXPUrl0be/bsQVJSEjZv3gyNpuAl2LdvX7E38nXr1uHRRx/F9OnTAQB2ux3x8fHo0KHDHc973333YfLkyahSpcptu48A4NChQ/jzzz/x7LPPokOHDnjxxRfRqVMn/P333zCZTEhMTMTQoUPRvXt3PP/88+jSpQtOnz5dquehYcOGOH78uOvfDocDMTExaNKkSamOUxFcM4rOnoVl926I12dqlRdrdDT0nTqhY3UT9l7JLddjk+eRAJxMt+JkuhVNAnToWsOEIIOGLTJE1zHAVICsrCwkJydDkiSkpaVh/fr12LZtG5YtWwYACAgIQG5uLnbu3ImIiAj88ccfWLVqFcxms+sYJpMJZ86cQbNmzRAQEIBDhw7h1KlTUKlUWLx4MZKTkwvN7ClO27Zt4XA4sHbtWqxateq2jzUYDFiwYAGqVq2Kjh074q+//kJubi7Cw8Nx4cIFzJkzB8HBwWjatCm2bt0Ko9GIevXqlWrBveHDh2PEiBFo06YNWrdujVWrVrnG3sjFuWKuPT4e+bt2wZGQUCHnEZOS4EhKQmRgEAMMlYozyIRfDzJVGWSIGGAqwrvvvot3330XgiAgMDAQzZo1w4oVK9CmTRsABYvHTZgwATNmzEB+fj7Cw8Px5ptv4rXXXnOt2zJixAjMmTMH8fHxeP755zFt2jQMHjwYZrMZ3bp1wxNPPIGYmJg7lkWj0eDee+/FP//8g6ZNm972sU2bNsWsWbOwcOFCvP3226hZsybmzp2LBg0aoEGDBpg4cSJmz56N5ORkhIWFYeHChfD39y/VcxMVFYXp06djwYIFSEtLQ9++fREVFQWttvIXenMGF0diIiy7dsFx/nyFn9N6+DB8e/WCn06FTCu3b6TSOZVuxal0K8L9dehSw4RgI4MMeS/uhUSV6siRIzCbzQgLC3N9rX///hg7diwGDhxYKWVwBZekJFh27oT9+no2lUEwm+E7eTKOp+ZjS3x2pZ2XPFNj/4IWmWCjBpIkcc8l8ipsgaFKdejQIXz99dd47733EBwcjK1bt+Ly5cvo2rVrpZxfEkVI2dnI+/FH2E6cqJRzFjp/djbssbFoVKdepZ+bPM/pDCvOZFjRMsiAHrVM0KrA1hjyGgwwVKmGDRuGS5cu4d///jeysrLQtGlTfPHFF3e9ncGdOGcW5f/2G/L37gXs8i3pb4uOhqlBA24tQOVCAnA4xYLTGfnoWcsHEYEGdiuRV2AXEnk0Z7O6LTYWlq1bIaamyl0kQKuF38sv40KehG/OZcpdGvIwdcxa9K1tRhW9il1K5NHYAkMeSxJFSLm5yN2+HXYZuouKZbPBdvw4akdEyl0S8kDx2TYsOZmG9tWM6BxigkpgtxJ5JrbAkMeRHA5AEGD9809Yfv0VKMF088qmrl8f5pEjsfVCFlfmpQrjr1OhT6gZYf46diuRx2ELDHkMZ3eRIyEBeVu3lvtCdOXJcf48txagCpdhFfFtbCYa++twf20fmDQqhhjyGAww5BEkUYSUn4+8HTtgO3JE7uLcmSTBFh2N4A4doVEBdi4JQxXodIYVcVlWdAkxoW01IwB2K5HycS8kUjRnD6j99Glkz5+vjPBynfXIEQhqFTpWM8ldFPICNhHYk5iL5SfTcSW3YPYbRxCQkjHAkGJJDgdgsyH3+++Ru3YtpFxlLc8vJiXBcfUqWgTq5S4KeZFkiwMrT2dge3wW7BI3iSTlYoAhxXLExyNrwQJFtbrczHr4MMxaAX46vhWpckWn5GPZyTSkWBwMMaRIrDVJUSRRhORwIG/HDuSsXAkpU9nrqNiOHQMEAffWYDcSVb60fBErTqXj8DULAHYpkbJwEC8phiSKEFNTkbtunVvPMCoNbi1AcnNIwE+XchCfbUO/Or5QqySoOcCXFIAtMOT2nJ8KrQcPInvxYo8JL0626GjotWqE+vDzBMnnZLoVy06m4Vqegy0xpAgMMOTWJIcDyM9Hzpo1sGzfLuseRhXFdvIkJJsNXULYjUTySreKWHk6HX8ns0uJ3B8DDLktSRQhpqQga/Fi2E+flrs4Fce5tYBJLXdJiOCQgJ0JOdgQmwmbyFlK5L4YYMht2WJikL1kCaT0dLmLUuGsR45ArVFzSjW5jdMZViw9mYYkdimRm2KAIbciiSIkSULezz8jb/16wGaTu0iVwrm1QJvrq6QSuYOM611Kf7FLidwQAwy5DcnhAKxW5H79Nay//y53cSqXc2sBnQAN35XkRkQJ2J2Qg/XnMmEVJXYpkdtgVUluwTlFOvvzz2GPjZW7OLKwRkdDUKvRuToH85L7OZtpxdKYdCTnceE7cg8MMOQW7CdPIvuLLyCmpcldFNmIyclwXL2KiCocB0PuKdMm4usz6YjLtLE7iWTHAEOykSQJkiTBsmsXctet85rxLrfDrQXI3dlEYH1sJg5dX72XSC6sJUkWkigCDgdyv/kG+fv2yV0ct2E7ehQQBHTj1gLkxiQUrN67OyGn4N9sjSEZMMBQpZNEEbDZkLNypWev71IGUk4O7LGxaOirlbsoRHd0ICkP38dlQuSu1iQDBhiqVJLDASkvD9nLlsFx8aLcxXFLtsOHodeqUZtbC5ACnEq3YvXZDFgdnKFElYsBhiqN5HBAyspC9pIlHrefUXlybS3AbiRSiIQcO1aezkCuXYSDIYYqCQMMVQpJFCFeu+Y1K+veFbsdtmPHEGrk1gKkHKn5Dqw8lYFMq8iWGKoUDDBU4SRRhOPiRWQvXw4pJ0fu4igCtxYgJcq0Fazcm8S1YqgSMMBQhZIkCfbTp5Hz1VdAfr7cxVEMx/nzELOy0JZbC5DC5NklrD6TgUvZNoYYqlAMMFShbIcOIffbbwGHQ+6iKI41OhpVdSpo+S4lhbGKEtaey8S5DCunWFOFYdVIFSb/jz+Qt3kzwAqsTGxHjkBQq9CJWwuQAjkkYENcFo6l5jPEUIVggKFyJ0kS8v/6C5affpK7KIomJifDceUKIjgOhhRKArAtPhunM6zsTqJyxwBD5Uq6vquyZds2uYviEQq2FlDBn1sLkEJJADadz8JFjomhcsZakcqNJIqwxcQgb9MmuYviMWzHjgGShHu5JgwpmEMq2D/paq6dIYbKDQMMlQtJFGE/exZ5333HMS/lyLm1QCNuLUAKZxOBtecykZrv4GJ3VC4YYOiuSaII+4ULBbONRFHu4ngcW3Q0dFo16pi5tQApm8Uh4Zszmci2cbE7unsMMHRXJFGEIyEBuWvWcKp0BbGdPAnJakXnEHYjkfJl20WsPpOBPDv3TqK7wwBDZSaJIsSrV5Hz9deAzSZ3cTyX3Q7b8ePcWoA8RoZVxJqzGbCJDDFUdgwwVCaSKEJMSUHOypWA1Sp3cTyec2uBe4I4pZo8wzWLA2vPZsIhgSGGyoQBhkpNcjggZWcjZ+VKSBaL3MXxCs6tBVoHc2sB8hyJuXasj82EBHCxOyo1BhgqFUkUAYcDOV9/DSk7W+7ieJWCrQUEcEkY8iQXsmz4IS4LAEMMlQ6rQioxZ+WSu3YtxORkmUvjfWzR0RDUam4tQB7ndIYV2+OzIQiC3EUhBWGAoRITBAF5W7fCHhsrd1G8knjt2vWtBXRyF4Wo3B1JzcfuhBy5i0EKwgBDJSKJYsEfjnmRlfXwYfho1QhgPxJ5oANJeTieauGgXioR1oJ0R6Ik4UK2HZlWET6PPQb9vffKXSSvZTt6lFsLkEfbcTGbq/VSiTDA0G2JkoQMq4jvz2dhUUw6zmdaYejRA8aBAwE11yWpbFJuLuznzqEhtxYgD2UTge9iM+EQOaiXbo8BhoolShLsIrDuXCbyHQUVyTfnMnEgKRfa5s3hM3o0BB8fmUvpfZxbC9Tl1gLkodLyRWy5kMVBvXRbDDBULAHAxvMFm6/daHdCLrZczIEqJATm8eOhqlZNngJ6KdupU9e3FmB4JM91OsOKP6/mshWGisUAQ8X6JTEXsZlFbxFwPDUfK89kwmE0wTxuHDSNG1dy6bzY9a0Fapn49iXP9mtiLi7l2Dmol4rEGpBuIUoSTqRasD8p77aPu5LnwMKYNGSLAkxDhkDXqVMllZCs0dFQq7m1AHk2CcDGuExu/EhFYoChQpyDdrdfLNkqu3l2YMGJdCTk2GHs3RvGAQMAFS+riua4cAFiZibacGsB8nA5dgkb4jLlLga5Id5p6BY/nM+CTSzdz3x9JgOHkvOgbdkSPk8+CcHIG2tFs0ZHI0iv4tYC5PEScuxc5I5uwaqPXCRJwm9XcnEl116mn//xUg5+vJQDda1aMD/9NFRVq5ZzCelGtiNHIKhU6BTCNWHI8x1MtiAmLZ9dSeTCAEMAAIck4UquHb9fuf24lzs5nJKPVeeyIJp9Cwb3hoWVUwnpZq6tBapwawHyDtvis5CeL3KROwLAAEMoaHmRJGDThSyUR7VwKceOz2IykCtoYBo2DLq2bcvhqFQU66FD3FqAvIZzkTtR4iJ3xABDKNikceelHKTll3Lgy21k20UsOJ6GqxYRxn79YOjXD+CiVOXOduxYwdYCNdmNRN4hJd+BrVzkjsAA4/VESUJshhWHU8p/k0YRwIpT6TiWYoGuTRuYhg8H9Jz2W55cWwuYubUAeY+T6VaOhyEGGG8mSRKsDglb47Mq9Dxb4rOxJyEHmrr1YH7qKaiqVKnQ83kb59YC9Xy5tQB5j58vZcMmSuxK8mIMMF5MEARsi89Gjr3iK4ADyRasjcsE/ANgfvppqOvWrfBzegvn1gKdqnNrAfIeuXYJOy/lsCvJizHAeClRknAkxYLTGdZKO+f5LDsWn8qARa2Fz8iR0EZFVdq5Pdr1rQVCubUAeZmjqfm4kGVlV5KXYo3nhURJQrZNxM5Llb8wVKZVxIJjabiW74BpwAAYevfm4N5yYI2OhkqtRhS3FiAvsy0+GyLzi1digPFCAoBN57Ngleldbwew9GQGTqbnQ9exI0xDhgA6rmVyN5xbC7Tm1gLkZTKsIv57mbtWeyMGGC8jSRL+TMrDpZyyrbZbnjbGZWHvlVxoGjaEedw4CP7+chdJ0azR0QjScWsB8j5/JeUhKc/BriQvw6rOi4iShBSLA/su58pdFJffr+Thu7gsCIGBBYN7Q0PlLpJi2aKjIahV6MytBcjLSECFz6Yk98MA40VUgoAfL2bD4WYfUs5m2rDkVAZsWj18Ro2CNjJS7iIpkpiSAsfly2jOrQXICyXlObD/ah67krwIA4yXECUJp9LzcdENuo6KkpovYsGJNKTbJJgGDoS+Rw+5i3SLqzk5mPTLL+jx7bf41w8/YM3Jk8U+dlVMDB7auBFd167Fv3fvRnxmput70cnJeGTTJtz/3XfYePZsoZ97Ze9e/HLxYpnLaD18GD5aNaqwH4m80G9XcpFhFdmV5CVYy3kJCXD77eitIrA4Jh3nMqzQd+0K02OPARr3WZxt2r59MGk0+LJvX0xu3RqLoqOxp4iwsSMuDkuPHcMrbdti1QMPIECvx4v//a/rk+HcgwfxcMOGmNm5Mz74+2+kWwpWQT6Xno7E7Gx0u4tutP9tLcA1Ycj72KWCWUkqzmz0CgwwXkCUJBxIykOGtfz2OqpI62Iz8efVPGiaNIHPmDEQzGa5i4RMqxXHUlIwJiICdfz80C00FB1r1sTBK1dueWy2zYZ/R0Whc61aqOPnh5HNmuFCZibS8vMBABcyM9E9NBTtQkJg1mqRkJ0NAFh67BjGRETc1cJcUm4u7GfPooFZXeZjEClZfLYN0dcsbIXxAgwwHk6SJOQ7JPxxJU/uopTKr5dzselCNlTVqsE8fjxUISGylkevVsOgVmNzbCzsoogLmZmITk5G48DAWx47qHFjPNKwIQAg22rF+jNnEObvjyrX94GqbjLhVGoqLufkIMtqRTWTCbEZGbiUlXVXrS9OBVsLaLi1AHmt3Yk5sDi4zYCnYw3n4QRBwJ7EbNnWfLkbMelWXLPYMaKRP8xjxyJ3wwbYY2JkKYtercaUtm0x9+BBrD11Cg5JwoNhYfhXgwbF/symc+cwc/9+6FQqfNqjh6tlZcI99+DN33+HXRQxqnlzBJtM+OS33zD6LltfnGynT0OyWtG5ug/OZ2Xc9fGIlCbfIeHHi9l4pL6f3EWhCiRIjKgeyzltetnJdCj5RTaogDFNAuCn18Cyezfy9+6VpRzzDh3C1dxcDG3SBLEZGXj/4EG80rYt+tavX+Tjr+TkICM/H5tiY7E9Lg5fPfAAal3vDrPY7bCJInx1OpzPyMAbv/+O5X364P2DB7EvMRGtq1XDq+3bQ68uW1eQ8aGHoGnZEnOOpJX59yVSuhGN/FHDR8MxMR6KXUgeTCUI+PlSjqLDCwBYRGDhiXTEZ9lg6NkTxkceAcp4Yy+rA1eu4Idz5/B6+/ZoFhSEB8PCMLJZMyw7frzYnwnx8UF4YCBeat0a1U0mbI2NdX3PoNHA9/rqw86xL3suXsSptDSsf/BB5NjtWH/6dJnL69paoCq3FiDvtTsxh+HFgzHAeChRknA6PR/x2Ta5i1JuVp/NwMGkXGgjIuAzahQEU+Ut2HYyNRV1fH1huGFWVHiVKricc+vMroNXr+LCDdOmBUFAPX9/ZFwfxHujC5mZrkG90cnJaFWtGgwaDTrUqIHDycllLq8jPp5bC5DXS8ix40x6PhzsaPBIDDAezN2nTZfFzoRcbLuYA1WNGgWDe6tVq5TzBhuNuJidDZvD4fra+cxM1CxihtTKEyew+oY1YhyiiNNpaahXxFYJy44dc419UQmCq7XMIYp33XJmPXyYWwuQ1/slMZc3Og/F19UDOadNpytk2nRpHU3Nx1dnsyCafGAeNw6aRo0q/Jxda9WCRhAwc/9+XMjMxN5Ll7DixAkMbtwYDlHEtbw8V7gZ1KgRtsTGYsf587iQmYn3/voL+Q4H+t80ViY+MxOxGRnofn3mUbPAQOxLSEBsRgZ2xscjsmrVuyqz7cgRCCpuLUDeLSXfgeiUfE6r9kAMMB5GqdOmS+tyrh0LY9KQIwkwPfEEdB06VOj5zDodFtx3H1IsFoz68Ud89M8/GNO8OR5p2BBXc3PR7/vvceTaNQDAvaGhmNq2Lb44ehTDt2/HxexszOvRAyatttAxlx0/jtHNm7tmHvWqWxdNAwMx9qefEGgw4PHGje+qzGJKCuzcWoAI+67kQoETMekOOAvJA22Pz0J0yq3jLTzVyMb+qOmjhfXvv5G3bRsgembLU1no2rWDoW9ffHEiDake2iJHVBL31jChQ3UjB/V6ELbAeBBRkpCcZ8cRLwovALDydAair+VB26oVfEaOhGAwyF0kt+HcWqArtxYgL7c/KQ92ZniPwgDjQVSCgP9ezlX8tOmy2H4xBz9dyoY6NBQ+Tz8NVVCQ3EVyC//bWoBrVpJ3y3cUjA3kWBjPwQDjISRJQlq+A2cyrHIXRTaHruVj1bkswNcP5qeegrqYBea8jTU6GjqtGvV9tXd+MJEH+yuZrTCehAHGg/x5NVfuIsjuUo4dn8VkIE/QwGf4cOjatJG7SLKznzoFKT8fnTgbibwcW2E8CwOMh7A4JBxL9a6xL8XJsouYfzwNSRYRxv79YejbF/DmgXsOB2zHj6OWkW93IrbCeA7WaB5AlCT8lZQHBz9UuIgAlp9Kx/FUC3Tt2sE0bBig995l9Z1bC7Ti1gLk5fIdEvYn5bIVxgMwwHgAUQL+uWaRuxhuafOFbOxJzIGmfn2Yn3oKQkCA3EWShSM+HmJGBrcWIAJwMNnCVhgPwACjcKIk4fA1CyxsfinWgSQLvo3NAvwDYH76aajr1JG7SLKwRkcjkFsLECHfIeGvZI6FUTpWZQonoKBPl24vLsuGL05lwKrRwmfkSGhbtpS7SJXOFh3NrQWIrjvMVmvFY4BRMIck4VS6FRlcYbVE0q0i5p9IR6pVgunhh2Ho1UvuIlUqMTUV9sRERFThOBiiLJuIsxlWtsIoGAOMgqkFAX9eZetLadhF4IuT6Tidng9dp04wDRkCaL1nfRTb4cMwaVUI1POtT/TPNQu3FlAw1mIKJUoS4rOtuJJnl7soirQhLgv7ruRC06gRzOPGQfDzk7tIlcK5tcC9Nbi1ANH5LBvS8x3gloDKxACjUCq2vty1367k4fvzWRCCgmAePx7qWrXkLlKFk/LyYD9zBmG+3FqACChohWF8USYGGAUSJQkpFjtiM21yF0XxTmfYsPRUBuxaPXxGj4a2eXO5i1ThrNHR0Gm4tQARABxJsYANMMrEAKNAbH0pXyn5IuafSEOGTYJp0CDou3eXu0gVyn76NLcWILrO4pBwIi0fDqYYxWGAURhJkpBjE3EijdsGlCerCHwWk464TCsM3brBOGgQoPHQbhaHA7Zjx7i1ANF1/1yzQM3BvIrDGkxhJAD/XOO2ARVl7blM7L+aC23TpvAZPRqC2Sx3kSqE9cgRqNRqtObWAkS4nGtHUp6dU6oVhgFGYVSCwE0bK9iexFxsvpANVfXqMD/9NFQhIXIXqdw5txZoxa0FiAAAfyfngW0wysIAoyCiJOFSto0L11WCE+lWfHk6Ew6jCeYxY6AJD5e7SOXOevgwAnUqGFgLEOFEWj5srFoVhVWXgggoGDFPleOqxYEFx9OQJQowDR4MXefOchepXNmOHIGgUqFTDQ7mJbKJwNFUC7uRFIQBRkEcEnAq3Sp3MbyKRQQWnkjHpRw7jL16wfivfwFqtdzFKhfOrQWaB3AcDBEAHOLKvIrCAKMQDknC6fR85Iv8dCCHVWcy8HdyHrQtWsDnySchmDyj1cK5tUAQtxYgwjWLAxezbWyFUQjWWgqhFgQc5eBdWf18KQfbL+ZAXbNmweDe4GC5i3TXnFsLdK3JrQWIAOCf5Dy2wigEA4xC5NpFnM/iyrtyO5Kaj6/OZkH0McM8bhw0DRvKXaS74txaoIHZQ9e8ISqls5lW2NnSrQgMMArgkCQcT83nfh1uIjHXjkUx6ciFGqahQ6Fr317uIt0Va3Q0tNxagAhAwWDe81nsRlICBhgFUAsCTqaz+8id5NglLDiehsu5dhj79oWhf39Apcy3k3Nrgc7cWoAIAHA6I59rwiiAMmtcL5NtE5GQY5e7GHQTEcDK0xk4kmKBrnVr+AwfDhgMcher9BwOWI8dQ01uLUAEADibwdmeSsAay805JAkx3PfIrW2Lz8bOhGyo69SF+amnoAoMlLtIpWaLji7YWiBYgQGMqJzl2iVczrVDYjeSW2OAcXNqQWCAUYC/k/OxJjYT8POH+amnoK5XT+4ilYrj4sWCrQWqMsAQAQVrbjG+uDcGGDeXbRORmMvuIyWIz7Zj8ckMWNRa+IwYAW2rVnIXqVS4tQDR/5zJsHI6tZtjVeXGHJKEE2x9UZRMm4h5x9KQbHHA9NBDMPTpAyikEnRuLdCZWwsQITXfgbR8h9zFoNtggHFjakHASQYYxREBLDuVgZi0fOjat4dp6FBAp5O7WHckpqbCnpCAZtxagAgAcDI9Hw6Og3FbDDBuLN8h4jK7jxTrh/NZ+DUxF5qwMJjHjYPg7y93ke7ItbUA+5GIcCbdCrVCWlC9EWspNyVKEuKzbBxEpnB/JuVhfWwWEBgI8/jxUNeuLXeRbst2/Dggiuhag1sLECXm2pFrF+UuBhWDAcaNXcjm1gGe4FyWDUtOZsCm0cHnySehbdFC7iIVi1sLEBV2Ot0KB7cWcEsMMG5KJQiIZ4DxGGlWEfNOpCHNJsH0yCPQ9+wpd5GK5dxaoAG3FiDCmYx8qFXsRnJHDDBuymIXkZTHEfCexC4Cn8ek40xGPvRdusA0eDCgdb+QYD9zBpLFgo7cWoAIF7JssLEFxi0xwLghUZLYfeTBvovNwu9X8qBp3BjmsWMh+PrKXaTCuLUAkYtdAmIzrdzc0Q2xhnJDAoD4LAYYT7b3Si5+uJANoWrVgsG9NWvKXaRCbEeOQKVWow23FiDCWS5q55YYYNyQIAhsgfECJ9OtWH46A3a9AT6jR0PTrJncRXJxXLwIMT2dWwsQAbiUw/rYHTHAuKE8u4hrFo5/8QbJFhHzj6ch0w74PPYY9PfeK3eRXKyHD6MKtxYgQlq+iHwHp1O7G1ZNbkaUJFxg95FXsYrAoph0nM+0wtCjB4wDBwJqtdzFcm0t0IVbCxAhMYe7U7sbBhg3I4Drv3irb85l4kBSLrTNm8Nn9GgIPvIuJiempcGekICm3FqACIm5drANxr0wwLgZQRDYAuPFdifkYsvFHKhCQmAePx6q6tVlLQ+3FiAqkJhj47YCboa1kpvJtYtI5Q6oXu14aj5WnsmEw2iCeexYaBo3lq0szq0F7uXWAuTluC+d+2GAcSOiJCEu0yp3McgNXMlzYGFMGrJFAaYhQ6Dr1EmWcji3Fgjj1gLk5XLtErKs/HDpThhg3IgAcPsAcsmzAwtOpCMhxw5j794wDhgAqCr/LevaWsDP/VYNJqpMF3PsXNDOjTDAuBGB+x9REb4+k4FDyXnQtmwJnyefhGA0Vur5nVsLdKrO2Ujk3S5zPRi3wgDjRmyihLR8jnOnW/14KQc/XsqBulYtmJ9+GqqqVSvv5Ne3FqjBrQXIyyXm2rkirxthjeRGUrl4Hd3G4ZR8rDqXBdHsC/O4cdCEhVXauW3R0dxagLze1Vx2IbkTBhg34ZAkJFs4yp1u71KOHZ/FZCBP0MA0bBh0bdtWynkdly5xawHyenYJXCXdjTDAuAkBfGNQyWTbC7YfuGoRYezXD4Z+/YBKaNbm1gJEQEKODQ6RrTDugFWRm1AJAlIYYKiERAArTqXjWIoFujZtYBo+HNBX7Iq5rq0FanIwL3mvxBw7VBwG4xYYYNwIAwyV1pb4bOxJyIGmbj2Yn3oKqipVKuxcYloa7JcuoZk/txYg73U51w6BA3ndAgOMmxAlCelcgZfK4ECyBWvjMgH/AJiffhrqunUr7Fy2w4dh1KpQlf1I5KVSLA7Y2IXkFlgLuYn0fJEbhVGZnc+yY/GpDFjUWviMHAltVFSFnIdbC5C3kwCk8cOmW2CAcQMiZyBROci0ilhwLA3XLA6YBgyAoXfvch/cK1kssJ85g/rcWoC8WIrFwenUboABxg1InJpH5cQOYOmpDJxMz4euY0eYhgwBdLpyPYf18GFoNWo05NYC5KXS8x1gfpEfA4wbUKs4A4nK18a4LOy9kgtNw4YwjxsHwd+/3I7t3FqgYwhnI5F3SrM6OBPJDTDAuIkUdiFROfv9Sh6+i8uCEBhYMLg3NLR8DiyKsB49ihocyEteKj1f5EwkN8AayE2kclAYVYCzmTYsOZUBm1YPn1GjoI2MLJfj2o4cgUqtRjtuLUBeiDNG3QMDjBvItjlg4xQkqiCp+SIWnEhDuk2CaeBA6Hv0uOtjOi5dgiMtDfdwawHyQlk2EQ4OgpEdA4zMJElCch7TPFUsqwgsjknHuQwr9F27wvTYY4Dm7mYS2bi1AHkpCUCWlZ865caqR2YiZyBRJVoXm4k/r+ZB06QJfMaMgWA2l/lY1utbC3StyTVhyPuwG0l+DDAyEwQg3co3AlWeXy/nYtOFbKiqVYN5/HioatQo03Gk9HTYL15EU//ynaZNpASZ7EaSHQOMzFSCAIudbwKqXDHpViw/nQG7wQjzmDHQNG1apuPYoqNh1KoQzH4k8jJZNrGgL4lkw1rHDeQ52JdKlS/ZImLh8TRkOgCfxx+HvmvXUh/Den1rga7cWoC8TLZN5FowMmOAcQNsgSG5WERg0Yl0xGfZYOjZE8ZHHgHU6lIcwAL76dPcWoC8TpaVa8HIjQHGDVgcDDAkr9VnM3AwKRfaiAj4jBoFwVTyVXat0dHQatRo5M+tBch7ZNk4dlFuDDBuwMIuJHIDOxNyse1iDlQ1ahQM7q1WrUQ/Zz9zBqLFgo7VubUAeY9sLt4lOwYYN8AuJHIXR1Pz8dXZLIgmH5jHjYOmUaM7/5Aownb0KEIMKlYo5DVy7BJ3pJYZ6xuZ2UQJzPHkTi7n2rEwJg05kgDTE09A16HDHX/GFh0NlVqNNtxagLxIPrv/ZcUAI7N8dh+RG8q1A/OPp+Nyrh3GPn1gfPBBQFV8deFISIAjLQ1R3FqAvIhdZICREwOMzNh9RO5s5ekMRF/Lg7ZVK/iMHAnBUHxAsR0+jACdCkZOSCIvwQYYeTHAyCzXzhYYcm/bL+bgp0vZUIeGwufpp6EKCirycc6tBbqEcE0Y8g5sgZEXA4yMJElCHiM8KcCha/lYdS4Lkq8fzE89BXX9+rc85n9bC3A6NXkHOwfxyooBRkaixC4kUo5LOXYsjslAnqCBz/Dh0LVpc8tjrIcPw6hVc2sB8gpsQJcXaxmZcRsBUpIsu4j5x9OQZBFh7N8fhr59C3Ykvc524gS3FiCvwS4keTHAyEngKrykPCKA5afScTzVAl27djANGwbo9QXf5NYC5EVs7EKSFQOMjFRgFxIp1+YL2diTmANN/fowP/UUhIAAAAXdSFqNGo05FoY8nEMEF7OTEQOMjARB4DYCpGgHkiz4NjYL8A+A+emnoa5TB/azZyFaLOjArQXIw3EQr7wYYGTG65+ULi7Lhi9OZcCq0cJn5EhoIyNhO3KEWwuQx7OLrMPlxPpFbtyNnTxAulXE/BPpSLVKMD38MNRVqxZsLVCNK/OS53IwvciKAUZmzC/kKewi8MXJdJxOz3etExMVxABDnouzkOTFACMzBhjyNBvisrDvSi4kUUSAjt1I5Lk4iVRenOsoM0FghCHP89uVPCTn2aERBO62Th6LLTDyYoAhogpxOsMmdxGIKpRdKrSOI1Uytu7KjNc+EZEycRCvvBhgZMb0TkSkTBpW4LJigJGZmtc/EZEi6dUC14GREQOMjERJgkbFBENEpEQGfgKVFQOMjCSwCZKISKn0aoHDAGTEACMnCdCyBYaISJEMahUnYsiIAUZmGr4CRESKZNAIXMtLRrx9yowtMEREysQxMPJigJEZB/ESESmTXs1bqJz47MtIEAAN8wsRkSLp+QFUVgwwMhJQMAiMiIiURQCgZReSrHj3lJEgCPDX8SUgIlIaHcOL7Hj3lJkvAwwRkeJwAK/8ePeUmV6t4jgYIiKF0TPAyI4Bxg346dRyF4GIiEqBAUZ+DDBuwFfLl4GISEn0KtbbcuMr4Ab8OA6GiEhRDOz7lx3vnDJzSBJbYIiIFMakUUGUJLmL4dV455SbxDEwRERKU0WvAvOLvBhgZKYS2IVERKQ0QQY11FyJV1a8c8qMi9kRESlPVb1G7iJ4Pd453YCvll1IRERKoVMJMHHsouz4CrgBnVqAjk2RRESKUEXPW6c74KvgJrilABGRMgQZ2H3kDnjXdBN+bI4kIlKEQL0aDk5Bkh3vmm5A4lowRESKEWhQg53+8uNd0w2IXAuGiEgxqhrUUAmMMHJjgHEDggAEGxlgiIiUoIqe9bU7YIBxAypBQC0frdzFICKiOzBrVdBy1qhbYIBxE2atCiZuDkZE5NaC2PriNhhg3EgNE6fmERG5syp6NSTOQHILDDBuwiFJCGGAISJya0EGNUTmF7fAAOMmBAA1TRwHQ0TkzgINanAIjHtggHETKkFADR+2wBARubNggxoCp1C7BQYYN2LSqLigHRGRmzKqBa7Z5UZ4t3QzHMhLROSeuNyFe2GAcSMOkQN5iYjcVahZwz2Q3AgDjBtRCUBNBhgiIrdU26zlTdON8LVwIwIH8hIRuSW1AIQYNRzA60YYYNyMXq2Cv44vCxGRO6lu1EDN+dNuhXdKN8SBvERE7iXUrIXI8S9uhQHGzThEiQGGiMjN1GL3vtthgHEzKgGoyal6RERupa6vFiqOf3ErDDBuRhAE1DBpwI2piYjcQ3WjGgY1b5fuhq+IG9KoBNTz1cldDCIiAlDXV8fxL26IAcYNOSQJDf0ZYIiI3EE9X3bruyMGGDekFgQ0YoAhIpKdSri+gB3Hv7gdBhg35aNVIcTIUe9ERHKqYdJAy/Vf3BIDjJsS2Y1ERCS7er5c/8VdMcC4KQFA4wAGGCIiOdX31YHtL+6JAcZNCYKAakYNfLV8iYiI5GDSCKjlw/2P3BXvjm5MkiQ08GMrDBGRHMID9HIXgW6DAcaNSQBnIxERyaR5FT04+sV9McC4MZUgoJ6vFuxFIiKqXL5aFWr5aDh92o3x1ujm1CoBdc1shSEiqkxNAnRsfXFzDDBujqvyEhFVvuaBes4+cnMMMG5OLQicTk1EVIn8dSqEmLScfeTmGGAUwKRRIcTEVXmJiCpD0yp6Ll6nAAwwCiBKEhpxOjURUaVoXoXdR0rAAKMAAoCIQK5HQERU0QL1agQbuXidEjDAKIAgCPDXq1HbzG4kIqKK1LSKjt1HCsEAoxAOSUKLQIPcxSAi8mgRVQzsPlIIBhiFUAsCmlbRQ8dt3YmIKkQ1oxpVDGp2HykEA4yCqIWC5k0iIip/TQM4+0hJGGAURAJwTxC7kYiIKkLzQD23DlAQBhgFUQkCavhoUdWglrsoREQepZaPBn461q1KwgCjMKIkoQVbYYiIylXbYCMc7D5SFAYYhVEJAloG6aFhKycRUbnw16kQHqCDmt1HisIAo0A6lYBmVbiwHRFReWgdbOTO0wrEAKNAEoA21YxyF4OISPH0KgH3BBk4eFeBGGAUSCUIqGbUoCY3eCQiuistqxqg5Z1QkfiyKZRDktA6mIN5iYjKSgDQthrrUaVigFEo58q8Jo7mJSIqk/AAHXy1XHlXqRhgFK4lp1QTEZVJh+omrryrYAwwCiYAaBNshJofHoiISiXUR4MQk4aDdxWMAUbBBEGASSMgqipbYYiISqNdNS5cp3QMMB6gU4iJC9sREZVQgE6FRv5cuE7pGGAUThAEGNUCWgVzXRgiopJoW40L13kCBhgP0bG6EToVP00QEd2OXi2gJReu8wgMMB5AEATo1QJacV0YIqLbKlh1V+5SUHlggPEQKkFAx+pG6PnOJCIqklooGLzLWtIzMMB4EK1KQBuuKklEVKQ2wUaYNAIXrvMQ3EzHg6gEAe2rmXAw2YJ8B4eoEZVVXkYa/lj6Pi4fOwi9rz9aPvIkGnXvX+gxmVcuYePLIzDyqz3FHmf5kM5Ffr3rc6+j4b0PIObH73Bo/VLozX7o+tzrqNYoAgDgsFnx/csj0G/6ApiqVC2/X8yLGTUCOoeYGF48CAOMh9GoCppI917OlbsoRIokSRJ2fzANkuhA3zfmITc1Gf9d+A60Jh/Ua9cdAJB97Sp2znkZDpv1tsca/NmmQv8+vnUtzv+xC3XadIUlMw1/fT0fvV95H8lnjuOPpR/gX/+3HABwes8W1I7qyPBSjrqEmKBhn4NH4cvpYVSCgHbVjDByeV6iMkmJPYmk00fR7d9vIah+Y9Ru3RmRA4bj2ObVAIALf/0Xm18dA5VGd8djmQKCXH8c1nzE7FiHzuNfgc5kRtbVROjMvqjRvDXqtuuGjMQLAACH3YYT275F5IDhFfp7epMgvRpRVTnzyNMwwHggtQC0r851YYjKIispEQa/APhWr+X6WmCdBrgWexKi3Y5Lh35H1ONPof2T/ynVcQ99uwQ1ItqgZmRbAIBPUDVYs7OQfe0KrsWegrlqdQDAmT1bUOueDmx9KUc9a/lw3RcPxC4kD6QSBLQJNuJAUh5y7XzbEpWG0T8Q1pxs2PMt0OgLBsXnpCRBcjhgzc1G56dfAQBcPv5PiY+Zfe0KYn/7Gf3f/sz1NVNgMJr2fQzrJz4OtVaH7hNnQLTbcWL7t+j7xrzy/aW8WF2zFg3879xaRsrDAOOhVELBTqu7E3LkLgqRolRt2AymKlXx5/KP0H7UC8hLT8Hxbd8AAES7rUzHPLNnC4LCmiC4UfNCX2877Dm0+NdwqHV6aHR6nNr5A2q2aA9BpcaPs/6DzMuX0OT+gYgcMOyufy9vJADoFeoDUZLYfeSB2IXkoVSCgFZVDTBz1BpRqWh0enSfNBOXj/+NVaPvx7a3nkP4ff8CAGhNPmU65vn9e9Cg6/1Ffk9v9oNGp4dot+P4trVoMWAYDq1bgoDQ+hjw3grE/PgdrsWeLPPv480iAvUINnLHaU/FFhgPphKA7rVM2HIhW+6iEClKcIOmeGzeeuSmp8Dg64+EIweg9w2A1mAq9bGyr11F+qXzqNOm620fd/a/21CzRVuYAoORdPoo2jzxLPQ+vghu1BxXTx5B1bAmZf11vJJWBXSv6QNJkjh12kPx47kHUwkCIgINqOerlbsoRIqRn52JrdOfhSUrA6aAIKjUGlw69AdqNIsq0/GunT0Bn6DqMFcNKfYxosOOY1vXosX1mUeCIECSCsavSaID4BDUUmtXjYvWeToGGA8nShIeqG2Ghu9hohLRm/1gt+Ti4KqFyLqagNO7N+HMni2IKME4FIfdhtz0FIiiw/W1tIuxCAitd9ufO/vfHagZ0RqmwGAAQNUGTRG77yekxJ3GlROHbhk7Q7dn1qjQsToXrfN0DDAeTiUI8NWp0Cmk9E3fRN6q+3/eRtbVBGycMhLHt32LHi/MRHCDpnf8uaRTR7H2mQHIuZbk+lpeRip0Pr7F/ozosOP41jWI/NcI19fueXQMspIvY8fMiWja51HXCr1UMvfWNHHDRi8gSM52SvJooiRh+cl0JFscd34wEZFCVTOqMTo8gK0vXoAtMF7kgTpmuYtARFSh7qvlA1HuQlClYIDxEipBQE0fLaKqcrdqIvJMTQJ0qOurg5qtL16BAcaLSJKEHjV9uDYMEXkck0ZA39pmcFSE9+CdzIsIggCNCuhdu2yLcRERuav7a5uhU3PatDdhgPEyKkFAeIAeDf24NwgReYbwAB2aBOi54q6XYYDxQqIkoW8dH+g4z5CIFM7IriOvxQDjhVSCAJNGha41uDYMESnb/aFm6Nl15JUYYLyUShDQJtiAECO3wyIiZWrsr0PTKuw68lYMMF5MAtCvrhl86xOR0pg0Ah6ow64jb8YA48VUgoBggxpd2JVERArzYB1fdh15OQYYLycIAjqHmBDmxx2riUgZWlU1IMxfx64jL8cAQxAlCQPq+cJPy8uBiNxbkF6NnrV82HVEDDBU0JWkUwl4pL4vd3AlIrelEoB/Xa+n2HVEDDAEoCDEhJg06FmTq/QSkXu6t4YJwQY1u44IAAMM3UAQBLSpZkR4AFfpJSL3UsesRftqRra8kAsDDBUiSRL61/FFFT0vDSJyD/46FR6p7wuOeqEb8S5FhQiCALUKeLS+HzT8oENEMtOqgMfC/KBTC+w6okIYYOgWakFAoEGN+2ub5S4KEXm5AfV8EWhQQ83wQjdhgKEiqQQBLYIMaBGol7soROSlutYwoaEf13uhojHAULEkScL9tc2oZlTLXRQi8jJNq+jQOcTEQbtULAYYKpYgCFAJwMD6ftBxgRgiqiQhJg361/HlYnV0WwwwdFsqQYCfToV+dTkehogqnlmjwmNhflysju6IAYbuSCUIaBKgR8fqRrmLQkQeTCMAgxr4wajhjCO6MwYYKrFuNX0QwUG9RFRBHqhTMOaO4YVKggGGSkySJPSrY0Y9X+5cTUTlq0N1I5oHGhheqMQYYKjEnP3Rj4b5oTpnJhFROWnop0O3Gia5i0EKwwBDpaISBKgFYHBDf/jrePkQ0d0JNqjxr/q+cheDFIh3ICo1lSDAoBYwpKE/DGo29xJR2fhoBAxq4Ac1ZxxRGTDAUJmoBAH+OhUeb+AHLa8iIiolH42A4Y0D4KtVcdwLlQlvPVRmKkFAiEmDQWEFn6CIiErCpBEwrFFBNzTDC5UVAwzdFZUgoLZZi4fr+/JiIqI7coaXAD2nS9Pd4T2H7ppKENDQT4f+XK2XiG7DqBEwtJE/qjC8UDlggKFyIQgCmlXR4/5QH7mLQkRuyKgWMLShPwIZXqicMMBQuREEAa2Cjehek+s5ENH/GNQCnmjkjyADwwuVHwYYKncdqpvQlYtSEREAvbqg26gqwwuVM0HifuVUQf5JzsPPl3LAC4zIO+mvdxsFc38jqgAMMFRhJEnCqQwrNp/PgoNXGZFX0asFPNHQn5szUoVhgKEKJUoSLmbb8F1sFqwiLzUib6BTCXiioR+qmzQML1RhGGCowomShOQ8B9aey0CunZcbkSfTqQQMaeiHEIYXqmAMMFQpRElCplXEmrMZyLCKcheHiCqASSPgsTC2vFDlYIChSuOQJOQ7JHxzNgNJeQ65i0NE5aiqQY3BDfzgw72NqJIwwFClEiUJdhFYdy4DF3PscheHiMpBmJ8WD9fzg0YFhheqNAwwVOlESYIkARvPZ+FMhlXu4hDRXWgdbECvWgUrcAsML1SJGGBIFs7Lbnt8No6k5stcGiIqLRWAXqE+aBVslLso5KUYYEg2kiRBEAT8kpiDP6/myV0cIiohvVrAI/V8UddXy1YXkg0DDLmFg0l52J2QA85PInJv/joVBjfwR4Ceg3VJXgww5BYkSUJirh0b47KQZWOMIXJHoT4aDArzg1YtQM3wQjJjgCG3IV6fZv3D+Sycz7LJXRwiukFEoB796pgBcKYRuQcGGHIroiRBAPDblTz8diWXG0ESuYF7a5jQKcTkGrdG5A4YYMgtSZKE+Gwbfjifxe0HiGSiEYCH6vmisb+OwYXcDgMMuS1RkpBnl7AxLpOL3hFVsmCDGg/X90UVPXeTJvfEAENuzdml9OvlXE61JqokraoacF8tHwgCx7uQ+2KAIcU4l2HF5gtZsDh4yRJVBKNaQP+6ZjT013O8C7k9BhhSDFGSkGMT8X1cFhJz2aVEVJ7qmrUYUM8XRo3AVhdSBAYYUhTx+uW6OyEHB5MtMpeGSPlUAtC1hgkdqhkhgV1GpBwMMKRYp9LzseNiNvI4S4moTIINagyo54uqBjW7i0hxGGBIsURJglWUsPtSDjeEJCoFAUCH6kZ0rWECwFYXUiYGGFI050DDS9k2bI/PRkq+Q+4iEbm1QL0aD9UzI8SoYasLKRoDDHkEx/Xp1n9cycPvV3PBiUpEt2obbEC3mj5QcXo0eQAGGPIokiQhwypie3w2LmRzPyUiAKhqUKNvbTNCzVq5i0JUbhhgyOOIkgSVIOBoigW7E3M4yJe8llEtoEsNE1pVNUAEuIM0eRQGGPJYoiTB6pCwKyEHRznIl7yICkCrYAO61jBBq+K6LuSZGGDIozkH+V68Psg3lYN8ycOF+WnRO9SMAJ0KADhQlzwWAwx5Bcf1y/yPK3n4g4N8yQMF6dXoFeqD+n46VzcqkSdjgCGvIkkS0q0idifk4EyGVe7iEN01g1pAlxATWgUbIKFyxrn07NkTCQkJAApaeIxGI8LDwzFhwgR07dq1xMf5448/UK1aNTRo0KDUZZg3bx7mz5/v+rdKpYKfnx969uyJSZMmoVq1aqU+ZkWyWq3YuHEjHn/8cbmL4jFUcheAqDIJggB/nQqPhvnhycb+qMtZGaRQAgp2jX6meRW0CjZAJQiVOkj31Vdfxb59+/Drr79i7dq1aNWqFcaPH4/ff/+9xMcYNWoUrl27VuYyREVFYd++fa5yLFmyBEePHsVLL71U5mNWlK1bt+Kzzz6TuxgeRSN3AYgqm7NpvbpJgyca+eNClhW/JObiMjeIJIWo56tF71AfBOrVAOQZ5+Lr64vg4GAAQPXq1TFlyhQkJydj9uzZ2Lx5c6WUQavVusoAANWqVcOzzz6LyZMnIyMjA/7+/pVSjpJgZ0f5YwsMeS1nkAk1a/FkeAAerV+wJwyRuwoyqDEozBdDGvqjir5g/yJ3GqQ7ePBgnD59GhcuXAAAnD17FmPHjkVUVBQiIyMxdOhQnDt3DkBBNxQAjBw5EvPmzQMArFu3Dn379kVERATat2+PGTNmwOEo3cB7tbrgedFqtdiwYQOGDBmCCRMmoHXr1ti0aRMkScKCBQvQpUsXtGnTBs888wwSExNdP79t2zb06dMHkZGR6NevH3bu3On63uXLl/HMM8+gZcuW6NmzJ+bPn+8q34YNGzBixAh8+umnaN++Pdq0aYPZs2dDkiTs378f06ZNQ0JCAsLDw3Hp0qWyP8nkwgBDXs/Z7B7mr8PYJgF4qK4ZQXoGGXIfoT4aDArzxVNNqyDMTwfAPVfSdY5lOXv2LERRxDPPPINatWrhhx9+wDfffAOHw4G5c+cCANavXw+gYCzLmDFjcODAAcycOROTJ0/Gjh07MGPGDKxfvx67du0q8fnPnz+Pzz//HB07doTJVLDP06FDh9CwYUN8++236NKlC77++mts3rwZH3zwAdauXYugoCCMGTMGNpsNKSkpmDJlCsaPH48dO3bg0UcfxeTJk5Geng5JkvD8888jKCgI33//vaul6cZuoUOHDiEuLg5r1qzBG2+8gZUrV+L3339HVFQUXn31VYSEhGDfvn2oUaNGeT3lXo1dSETXOYNMkyp6NKuix6l0K367kotkC6deU+UTADTy16FDdSNq+mhdM+ncMbg4+fr6AgBycnJgsVgwZMgQDB061BUmHnnkESxZsgQAEBgYCADw9/eHj48PTCYTZs2ahfvvvx8AEBoaiuXLl+PMmTOur93s4MGDiIqKAgDYbDbY7Xa0adMGM2fOdD1GEAQ8++yzMBgMAIAlS5Zg+vTpaN++PQDg7bffRpcuXbB3716EhITAZrMhJCQEtWrVwpgxYxAeHg69Xo8///wTiYmJWLduHVQqFcLCwjB16lRMmzYNEyZMAAA4HA688847MJvNCAsLw4oVK3D06FF07twZvr6+UKvVhbq86O4wwBDdxBlkGgXo0KSKHmcy8vHb5TxcyeMYGap4agGICNSjQ3UTqujVEK8HFyWsopudnQ0AMJvNMJlMeOKJJ7Bx40YcO3YMsbGxOHHiBKpWrVrkz0ZERMBgMODTTz/F2bNncerUKVy4cAFdunQp9nwRERF4//33ARTMQgoMDISPj0+hxwQFBbnCS05ODq5cuYJJkyZBpfpfB4TFYsH58+fRo0cPdO/eHaNHj0b9+vVx33334bHHHoPRaMS5c+eQnp6O1q1bu35OFEVYLBakpaW5zmU2m13fN5vNsNtZb1QUBhiiYri6lvx0aOSvR1ymFfuu5CIhhxUSlT+9WkCrqga0rWaEUf2/sOLOLS43O3XqFACgUaNGyMnJwaBBg1ClShX07NkTDz74IGJjY7Fs2bIif3bv3r2YMGECHn74YXTt2hUTJkzAjBkzbns+g8GAunXr3vYxer3e9XfneJVPPvkE9evXL/Q4f39/CIKAxYsX48iRI9i1axd+/vlnrF69GqtXr4bdbkdYWBgWLlx4yzmcLU86ne6W73HwbsVhgCG6A2eQqeOrxQi/ACTn2fHPNQtOpOYjX2TlRHfHT6tC22pG3FPVALXCd4n+7rvv0Lx5c9SuXRt79uxBUlISNm/eDI2m4Fazb9++Ym/o69atw6OPPorp06cDAOx2O+Lj49GhQ4dyK5+fnx+CgoKQnJyM7t27AyhYn2Xy5MkYO3Ys/Pz8sH79ekydOhUtWrTACy+8gP79+2Pv3r0IDw9HYmIiAgMDXYHlt99+w4YNGzBnzpw7ntudBlt7CgYYohJyBpmqBjXuD/XBfbV8cCItH4evWZDIKdhUStWMarSvZkTTKgUtBEoLLllZWUhOToYkSUhLS8P69euxbds2VwtLQEAAcnNzsXPnTkREROCPP/7AqlWrCnWxmEwmnDlzBs2aNUNAQAAOHTqEU6dOQaVSYfHixUhOTobVWr4LTo4aNQoff/wxgoKCXC0q//zzD2bNmgWr1Yo1a9bA19cXDz30EM6ePYuEhAQ0a9YMHTt2RK1atfDyyy9j0qRJyMrKwhtvvIFOnTpBrb7zoH+j0YiMjAycP38eoaGhrlBHZcdnkKiUnJ+kNALQPFCPFkEGXLveKnM8LR/53KeAiqECUM9Pi7bBRtT308Gh4CX/3333Xbz77rsQBAGBgYFo1qwZVqxYgTZt2gAoWGTO2Q2Un5+P8PBwvPnmm3jttddw9epVVK9eHSNGjMCcOXMQHx+P559/HtOmTcPgwYNhNpvRrVs3PPHEE4iJiSnXco8dOxY5OTl48803kZ2djYiICCxdutS1Zsy8efPw/vvv47PPPkNQUBAmT57sGoezaNEivPPOO3j88cdhMpnQt29fTJ06tUTn7dChA+rWrYuHHnoIq1evRmRkZLn+Xt6IWwkQlQPn28ghATFp+TicYuFYGXKp5aNBsyp6NK+ih0Gj4l5FROWAAYaonDkkCWpBQIrleqtMaj4sbJXxOkF6NZoF6hEZqIefTu26LoiofDDAEFUQ51tLlICY9IKxMpfYKuPRzFoVmlUpCC3BRg1bWogqEAMMUSVwfvrOtok4nZ6Ps5lWxGfZYOe7T/H0agHh/jpEBOpR26yFhIJF6DjrhKhiMcAQVTJnmLGLEuKyrDibYcW5DBuy7aLcRaMSUgtAQz8dmgfq0cBfBxUACcqbSUSkZAwwRDISJcn1aT0pz47T6VaczbTiCqdlux0/rQr1/bSo76tDmJ8OOrXALiIiGTHAELkJSZJcn+Jz7SLOXA8z57OssLFxptLpVALqmLWo76dFAz8dAvTqQq8REcmLAYbITTm7mhyShPgsG85kWHEx24ZrFgf4pi1/WhVQy0eL2j5a1PXVoqaPBipBgEOUoFYxsBC5GwYYIgW4savJLkpIyrPjcm7Bnyu5dqQw1JSaQS0g1EeL2mYN6vpqUc1YEFhufK6JyH0xwBAp1I0tA3ZRwtU8OxJzCgLNlVw7UvMZaoCCGUH+OhWqGjQIMqhR1aBGTR8NggwFC5E7RAkqgYGFSGkYYIg8hCRJECW4Qo1NlHA1147E3MKhxlOpBCBQr3aFlCCDBtUMalTRq13PiXi9uuMYFiLlY4Ah8mA3hxqHJCHLKiI934F0q4gMqwMZzv/ni4qYyq1TCaiiL9yiEmzUwF+ncgUTx/VuIAYVIs/FAEPkhZzBBgIKLW/vkCTk2SXk2ERk2URk20Tk2K//3yYi1y7CJhb8rCgVPN71dzj/Ll3/3u3LoFcJMGgEGNQCjBoVjGoBhpv+b9SoYNIU/N+gFqBXC4VCiUOUIAgMKkTeiAGGiIrkCjlAmceIOI8h4n/BRgCguymIFHVOCAW7N3NsChEVhQGGiIiIFEcldwGIiIiISosBhoiIiBSHAYaIiIgUhwGGiIiIFIcBhoiIiBSHAYaIiIgUhwGGiIiIFIcBhoiIiBSHAYaIiIgUhwGGiIiIFIcBhoiIiBSHAYaIiIgUhwGGiIiIFIcBhoiIiBSHAYaIiIgUhwGGiIiIFIcBhoiIiBSHAYaIiIgUhwGGiIiIFIcBhoiIiBSHAYaIiIgUhwGGiIiIFIcBhoiIiBSHAYaIiIgUhwGGiIiIFIcBhoiIiBSHAYaIiIgUhwGGiIiIFIcBhoiIiBSHAYaIiIgUhwGGiIiIFIcBhoiIiBSHAYaIiIgUhwGGiIiIFIcBhoiIiBSHAYaIiIgUhwGGiIiIFIcBhoiIiBSHAYaIiIgUhwGGiIiIFIcBhoiIiBSHAYaIiIgUhwGGiIiIFIcBhoiIiBSHAYaIiIgUhwGGiIiIFIcBhoiIiBSHAYaIiIgUhwGGiIiIFIcBhoiIiBSHAYaIiIgUhwGGiIiIFIcBhoiIiBSHAYaIiIgUhwGGiIiIFOf/AZi+fDmvMUMsAAAAAElFTkSuQmCC",
      "text/plain": [
       "<Figure size 800x600 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Calculating the percentage of missing and non-missing values for 'GHGEmissionsIntensity'\n",
    "ghg_missing_percentage = data['GHGEmissionsIntensity'].isnull().mean() * 100\n",
    "ghg_present_percentage = 100 - ghg_missing_percentage\n",
    "\n",
    "# Preparing data for the pie chart\n",
    "ghg_data = [ghg_present_percentage, ghg_missing_percentage]\n",
    "ghg_labels = ['Data Present', 'Data Missing']\n",
    "\n",
    "# Plotting the pie chart\n",
    "plt.figure(figsize=(8, 6))\n",
    "plt.pie(ghg_data, labels=ghg_labels, autopct='%1.1f%%', startangle=140, colors=['skyblue', 'lightcoral'])\n",
    "plt.title('Percentage of Missing vs. Present GHG Emissions Intensity Data in 2022')\n",
    "\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 35,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1200x600 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "\n",
    "import matplotlib.pyplot as plt\n",
    "\n",
    "# Sort the neighborhoods by the total count of missing data\n",
    "neighborhoods_sorted = neighborhood_compliance_issue_freq.sum(axis=1).sort_values(ascending=False)\n",
    "\n",
    "# Plot the bar chart and add % labels to the bars\n",
    "plt.figure(figsize=(12, 6))\n",
    "ax = neighborhoods_sorted.plot(kind='bar')\n",
    "plt.title('Frequency of Neighborhoods in Missing Data')\n",
    "plt.xlabel('Neighborhood')\n",
    "plt.ylabel('Frequency')\n",
    "plt.xticks(rotation=90)\n",
    "\n",
    "# Add the numbers to the bars\n",
    "for i, v in enumerate(neighborhoods_sorted):\n",
    "    ax.text(i, v, str(v), ha='center', va='bottom')\n",
    "\n",
    "plt.show()\n",
    "\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 25,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "887.5"
      ]
     },
     "execution_count": 25,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Get the total count of all neighborhoods\n",
    "total_neighborhoods = len(neighborhoods_sorted)\n",
    "\n",
    "# Get the count of the first three neighborhoods\n",
    "first_three_neighborhoods = neighborhoods_sorted[:3].sum()\n",
    "\n",
    "# Calculate the percentage\n",
    "percentage = (first_three_neighborhoods / total_neighborhoods) * 100\n",
    "\n",
    "percentage\n"
   ]
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
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