top_20_solar_power_plants.ipynb

{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 109,
   "metadata": {},
   "outputs": [],
   "source": [
    "%matplotlib inline"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Defining 'Big Power' in the 20 Largest Solar Power Plants\n",
    "\n",
    "Analysis and data visualization by Kathryn Hurchla for Data Design Dimension"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 110,
   "metadata": {},
   "outputs": [],
   "source": [
    "from matplotlib import cbook\n",
    "import matplotlib.pyplot as plt\n",
    "import matplotlib.gridspec as gridspec\n",
    "from mpl_toolkits.axes_grid1 import ImageGrid\n",
    "import pandas as pd\n",
    "import numpy as np"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 111,
   "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>Name</th>\n",
       "      <th>Country</th>\n",
       "      <th>MWp (Megawatts Peak Capacity)</th>\n",
       "      <th>Acres</th>\n",
       "      <th>Sq Mi</th>\n",
       "      <th>Sq Km</th>\n",
       "      <th>Year</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>Bhadla Solar Park</td>\n",
       "      <td>India</td>\n",
       "      <td>2245</td>\n",
       "      <td>14000</td>\n",
       "      <td>21.0</td>\n",
       "      <td>54.4</td>\n",
       "      <td>2020</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>Huanghe Hydropower Hainan Solar Park</td>\n",
       "      <td>China</td>\n",
       "      <td>2200</td>\n",
       "      <td>1408</td>\n",
       "      <td>2.2</td>\n",
       "      <td>5.7</td>\n",
       "      <td>2020</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>Pavagada Solar Park</td>\n",
       "      <td>India</td>\n",
       "      <td>2050</td>\n",
       "      <td>13000</td>\n",
       "      <td>20.3</td>\n",
       "      <td>52.6</td>\n",
       "      <td>2019</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>Benban Solar Park</td>\n",
       "      <td>Egypt</td>\n",
       "      <td>1650</td>\n",
       "      <td>9216</td>\n",
       "      <td>14.4</td>\n",
       "      <td>37.3</td>\n",
       "      <td>2019</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>Tengger Desert Solar Park</td>\n",
       "      <td>China</td>\n",
       "      <td>1547</td>\n",
       "      <td>10625</td>\n",
       "      <td>16.6</td>\n",
       "      <td>43.0</td>\n",
       "      <td>2016</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                                   Name Country  \\\n",
       "0                     Bhadla Solar Park   India   \n",
       "1  Huanghe Hydropower Hainan Solar Park   China   \n",
       "2                   Pavagada Solar Park   India   \n",
       "3                     Benban Solar Park   Egypt   \n",
       "4             Tengger Desert Solar Park   China   \n",
       "\n",
       "   MWp (Megawatts Peak Capacity)  Acres  Sq Mi  Sq Km  Year  \n",
       "0                           2245  14000   21.0   54.4  2020  \n",
       "1                           2200   1408    2.2    5.7  2020  \n",
       "2                           2050  13000   20.3   52.6  2019  \n",
       "3                           1650   9216   14.4   37.3  2019  \n",
       "4                           1547  10625   16.6   43.0  2016  "
      ]
     },
     "execution_count": 111,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# load the entire Excel data file into a pandas dataframe, which contains only one sheet and just a few columns\n",
    "df = pd.read_excel(\"./data/20 Largest Solar Power Plants.xlsx\")\n",
    "# display the dataframe\n",
    "df.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 112,
   "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>Name</th>\n",
       "      <th>Country</th>\n",
       "      <th>MWp (Megawatts Peak Capacity)</th>\n",
       "      <th>Acres</th>\n",
       "      <th>Sq Mi</th>\n",
       "      <th>Sq Km</th>\n",
       "      <th>Year</th>\n",
       "      <th>MWp/Acre</th>\n",
       "      <th>MWp/Sq Mi</th>\n",
       "      <th>MWp/Sq Km</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>Bhadla Solar Park</td>\n",
       "      <td>India</td>\n",
       "      <td>2245</td>\n",
       "      <td>14000</td>\n",
       "      <td>21.0</td>\n",
       "      <td>54.4</td>\n",
       "      <td>2020</td>\n",
       "      <td>0.160357</td>\n",
       "      <td>106.904762</td>\n",
       "      <td>41.268382</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>Huanghe Hydropower Hainan Solar Park</td>\n",
       "      <td>China</td>\n",
       "      <td>2200</td>\n",
       "      <td>1408</td>\n",
       "      <td>2.2</td>\n",
       "      <td>5.7</td>\n",
       "      <td>2020</td>\n",
       "      <td>1.562500</td>\n",
       "      <td>1000.000000</td>\n",
       "      <td>385.964912</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>Pavagada Solar Park</td>\n",
       "      <td>India</td>\n",
       "      <td>2050</td>\n",
       "      <td>13000</td>\n",
       "      <td>20.3</td>\n",
       "      <td>52.6</td>\n",
       "      <td>2019</td>\n",
       "      <td>0.157692</td>\n",
       "      <td>100.985222</td>\n",
       "      <td>38.973384</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>Benban Solar Park</td>\n",
       "      <td>Egypt</td>\n",
       "      <td>1650</td>\n",
       "      <td>9216</td>\n",
       "      <td>14.4</td>\n",
       "      <td>37.3</td>\n",
       "      <td>2019</td>\n",
       "      <td>0.179036</td>\n",
       "      <td>114.583333</td>\n",
       "      <td>44.235925</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>Tengger Desert Solar Park</td>\n",
       "      <td>China</td>\n",
       "      <td>1547</td>\n",
       "      <td>10625</td>\n",
       "      <td>16.6</td>\n",
       "      <td>43.0</td>\n",
       "      <td>2016</td>\n",
       "      <td>0.145600</td>\n",
       "      <td>93.192771</td>\n",
       "      <td>35.976744</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>Noor Abu Dhabi</td>\n",
       "      <td>United Arab Emirates</td>\n",
       "      <td>1177</td>\n",
       "      <td>1920</td>\n",
       "      <td>3.0</td>\n",
       "      <td>7.8</td>\n",
       "      <td>2019</td>\n",
       "      <td>0.613021</td>\n",
       "      <td>392.333333</td>\n",
       "      <td>150.897436</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>Mohammed bin Rashid Al Maktoum Solar Park</td>\n",
       "      <td>United Arab Emirates</td>\n",
       "      <td>1013</td>\n",
       "      <td>19200</td>\n",
       "      <td>30.0</td>\n",
       "      <td>77.7</td>\n",
       "      <td>2020</td>\n",
       "      <td>0.052760</td>\n",
       "      <td>33.766667</td>\n",
       "      <td>13.037323</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>Kurnool Ultra Mega Solar Park</td>\n",
       "      <td>India</td>\n",
       "      <td>1000</td>\n",
       "      <td>5952</td>\n",
       "      <td>9.3</td>\n",
       "      <td>24.1</td>\n",
       "      <td>2017</td>\n",
       "      <td>0.168011</td>\n",
       "      <td>107.526882</td>\n",
       "      <td>41.493776</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>Datong Solar Power Top Runner Base</td>\n",
       "      <td>China</td>\n",
       "      <td>1000</td>\n",
       "      <td>6176</td>\n",
       "      <td>9.6</td>\n",
       "      <td>24.9</td>\n",
       "      <td>2016</td>\n",
       "      <td>0.161917</td>\n",
       "      <td>104.166667</td>\n",
       "      <td>40.160643</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>NP Kunta</td>\n",
       "      <td>India</td>\n",
       "      <td>978</td>\n",
       "      <td>7680</td>\n",
       "      <td>12.0</td>\n",
       "      <td>31.1</td>\n",
       "      <td>2021</td>\n",
       "      <td>0.127344</td>\n",
       "      <td>81.500000</td>\n",
       "      <td>31.446945</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>Longyangxia Dam Solar Park</td>\n",
       "      <td>China</td>\n",
       "      <td>850</td>\n",
       "      <td>6656</td>\n",
       "      <td>10.4</td>\n",
       "      <td>26.9</td>\n",
       "      <td>2015</td>\n",
       "      <td>0.127704</td>\n",
       "      <td>81.730769</td>\n",
       "      <td>31.598513</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11</th>\n",
       "      <td>Villanueva Solar Park</td>\n",
       "      <td>Mexico</td>\n",
       "      <td>828</td>\n",
       "      <td>6784</td>\n",
       "      <td>10.6</td>\n",
       "      <td>27.5</td>\n",
       "      <td>2018</td>\n",
       "      <td>0.122052</td>\n",
       "      <td>78.113208</td>\n",
       "      <td>30.109091</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12</th>\n",
       "      <td>Copper Mountain Solar Facility</td>\n",
       "      <td>United States</td>\n",
       "      <td>802</td>\n",
       "      <td>4000</td>\n",
       "      <td>6.2</td>\n",
       "      <td>16.1</td>\n",
       "      <td>2016</td>\n",
       "      <td>0.200500</td>\n",
       "      <td>129.354839</td>\n",
       "      <td>49.813665</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>13</th>\n",
       "      <td>Mount Signal Solar</td>\n",
       "      <td>United States</td>\n",
       "      <td>794</td>\n",
       "      <td>3929</td>\n",
       "      <td>6.1</td>\n",
       "      <td>15.8</td>\n",
       "      <td>2020</td>\n",
       "      <td>0.202087</td>\n",
       "      <td>130.163934</td>\n",
       "      <td>50.253165</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>14</th>\n",
       "      <td>Charanka Solar Park</td>\n",
       "      <td>India</td>\n",
       "      <td>790</td>\n",
       "      <td>4900</td>\n",
       "      <td>7.6</td>\n",
       "      <td>19.7</td>\n",
       "      <td>2012</td>\n",
       "      <td>0.161224</td>\n",
       "      <td>103.947368</td>\n",
       "      <td>40.101523</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15</th>\n",
       "      <td>Rewa Ultra Mega Solar</td>\n",
       "      <td>India</td>\n",
       "      <td>750</td>\n",
       "      <td>1590</td>\n",
       "      <td>2.4</td>\n",
       "      <td>6.2</td>\n",
       "      <td>2018</td>\n",
       "      <td>0.471698</td>\n",
       "      <td>312.500000</td>\n",
       "      <td>120.967742</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16</th>\n",
       "      <td>Solar Star (I and II)</td>\n",
       "      <td>United States</td>\n",
       "      <td>747</td>\n",
       "      <td>3200</td>\n",
       "      <td>5.0</td>\n",
       "      <td>12.9</td>\n",
       "      <td>2015</td>\n",
       "      <td>0.233437</td>\n",
       "      <td>149.400000</td>\n",
       "      <td>57.906977</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>17</th>\n",
       "      <td>Kamuthi Solar Power Project</td>\n",
       "      <td>India</td>\n",
       "      <td>648</td>\n",
       "      <td>2500</td>\n",
       "      <td>3.9</td>\n",
       "      <td>10.1</td>\n",
       "      <td>2017</td>\n",
       "      <td>0.259200</td>\n",
       "      <td>166.153846</td>\n",
       "      <td>64.158416</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>18</th>\n",
       "      <td>Dau Tieng Solar Power Project</td>\n",
       "      <td>Vietnam</td>\n",
       "      <td>600</td>\n",
       "      <td>1245</td>\n",
       "      <td>1.9</td>\n",
       "      <td>4.9</td>\n",
       "      <td>2019</td>\n",
       "      <td>0.481928</td>\n",
       "      <td>315.789474</td>\n",
       "      <td>122.448980</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>19</th>\n",
       "      <td>Desert Sunlight Solar Farm</td>\n",
       "      <td>United States</td>\n",
       "      <td>550</td>\n",
       "      <td>3900</td>\n",
       "      <td>6.2</td>\n",
       "      <td>16.1</td>\n",
       "      <td>2015</td>\n",
       "      <td>0.141026</td>\n",
       "      <td>88.709677</td>\n",
       "      <td>34.161491</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                                         Name                Country  \\\n",
       "0                           Bhadla Solar Park                  India   \n",
       "1        Huanghe Hydropower Hainan Solar Park                  China   \n",
       "2                         Pavagada Solar Park                  India   \n",
       "3                           Benban Solar Park                  Egypt   \n",
       "4                   Tengger Desert Solar Park                  China   \n",
       "5                              Noor Abu Dhabi   United Arab Emirates   \n",
       "6   Mohammed bin Rashid Al Maktoum Solar Park   United Arab Emirates   \n",
       "7               Kurnool Ultra Mega Solar Park                  India   \n",
       "8          Datong Solar Power Top Runner Base                  China   \n",
       "9                                    NP Kunta                  India   \n",
       "10                 Longyangxia Dam Solar Park                  China   \n",
       "11                      Villanueva Solar Park                 Mexico   \n",
       "12             Copper Mountain Solar Facility          United States   \n",
       "13                         Mount Signal Solar          United States   \n",
       "14                        Charanka Solar Park                  India   \n",
       "15                      Rewa Ultra Mega Solar                  India   \n",
       "16                      Solar Star (I and II)          United States   \n",
       "17                Kamuthi Solar Power Project                  India   \n",
       "18              Dau Tieng Solar Power Project                Vietnam   \n",
       "19                 Desert Sunlight Solar Farm          United States   \n",
       "\n",
       "    MWp (Megawatts Peak Capacity)  Acres  Sq Mi  Sq Km  Year  MWp/Acre  \\\n",
       "0                            2245  14000   21.0   54.4  2020  0.160357   \n",
       "1                            2200   1408    2.2    5.7  2020  1.562500   \n",
       "2                            2050  13000   20.3   52.6  2019  0.157692   \n",
       "3                            1650   9216   14.4   37.3  2019  0.179036   \n",
       "4                            1547  10625   16.6   43.0  2016  0.145600   \n",
       "5                            1177   1920    3.0    7.8  2019  0.613021   \n",
       "6                            1013  19200   30.0   77.7  2020  0.052760   \n",
       "7                            1000   5952    9.3   24.1  2017  0.168011   \n",
       "8                            1000   6176    9.6   24.9  2016  0.161917   \n",
       "9                             978   7680   12.0   31.1  2021  0.127344   \n",
       "10                            850   6656   10.4   26.9  2015  0.127704   \n",
       "11                            828   6784   10.6   27.5  2018  0.122052   \n",
       "12                            802   4000    6.2   16.1  2016  0.200500   \n",
       "13                            794   3929    6.1   15.8  2020  0.202087   \n",
       "14                            790   4900    7.6   19.7  2012  0.161224   \n",
       "15                            750   1590    2.4    6.2  2018  0.471698   \n",
       "16                            747   3200    5.0   12.9  2015  0.233437   \n",
       "17                            648   2500    3.9   10.1  2017  0.259200   \n",
       "18                            600   1245    1.9    4.9  2019  0.481928   \n",
       "19                            550   3900    6.2   16.1  2015  0.141026   \n",
       "\n",
       "      MWp/Sq Mi   MWp/Sq Km  \n",
       "0    106.904762   41.268382  \n",
       "1   1000.000000  385.964912  \n",
       "2    100.985222   38.973384  \n",
       "3    114.583333   44.235925  \n",
       "4     93.192771   35.976744  \n",
       "5    392.333333  150.897436  \n",
       "6     33.766667   13.037323  \n",
       "7    107.526882   41.493776  \n",
       "8    104.166667   40.160643  \n",
       "9     81.500000   31.446945  \n",
       "10    81.730769   31.598513  \n",
       "11    78.113208   30.109091  \n",
       "12   129.354839   49.813665  \n",
       "13   130.163934   50.253165  \n",
       "14   103.947368   40.101523  \n",
       "15   312.500000  120.967742  \n",
       "16   149.400000   57.906977  \n",
       "17   166.153846   64.158416  \n",
       "18   315.789474  122.448980  \n",
       "19    88.709677   34.161491  "
      ]
     },
     "execution_count": 112,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# calculate MWp/Acre and MWp/SqMi and MWp/SqKm and append each as columns to the dataframe\n",
    "df[\"MWp/Acre\"] = df[\"MWp (Megawatts Peak Capacity)\"] / df[\"Acres\"]\n",
    "df[\"MWp/Sq Mi\"] = df[\"MWp (Megawatts Peak Capacity)\"] / df[\"Sq Mi\"]\n",
    "df[\"MWp/Sq Km\"] = df[\"MWp (Megawatts Peak Capacity)\"] / df[\"Sq Km\"]\n",
    "df"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Among the Top 20 Solar Plants\n",
    "\n",
    "As we look at the top 20 plants as measured by peak capacity each generates, in megawatts, in the scatterplot graph below, a trend appears to show that a larger plant, in acreage, produces a higher peak capacity of solar energy."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 113,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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jgz0DB/TlheeM34D2cNcdNAH+vvzx8xdIkkTM8Ti+/eF3nnjmVfx8vRk3ZpjR994Ie3tbZDKZPt7aMjMv1flhq7mCra2h22bMgkUrGTFsIP/30Rv6aYkXDLvy2tvbIZfLSU3PuNqm3HB8Cxat5K5Z03j1paf1rxWXlBrM6+6u++HKupRtMF2j0ZCdk3td621qjg52APz602d06xJc5/Wa+3F79x/mYlIKOzYvYWD/vvrX1T/83mSxlJeXs3L1Rt589Vmeevx+/fTYk6ebbB3G1NyjybqUjb/V5avezKxrd+uuT2M/T2PHYn3y8gqoqqoySHSZWbpjzLP6qqQpj+MaDvZ2zPv1K26ZNofZc57gr9++vur9VQAnR3tOnrx6h6OGfK9ry8y6RIC/b62/Dbd9weKVBAX68dtPn+vnqaqqIjc3/4rYHPSJsSk4Otpz27SJ/PTrX4weNYRtO6L56btPjM7r6+OFt5dHo5bf5pLckuVrWbVmE089fp++2WzIwH4sXrqaPXsPMiDq8oOV/yxcjouLE12rf2TGjB7Cvv1H6NY1uEGXsjKZjPCwbnz68Rv8+se/nIw70yxJzsrKkt49e7B42RrefO05FAoFABeTUojed5gnHp1zzWU0dttqKy0t0//o1vh9nmHPN0tLCwb278Pf/yzl9ZefbvQ6GhpfaVk5JiaGh92VvfC8PN3x8nRn8dI13Hv3TP305as21OkBeyP75Ub0j4xApbLm/PkL3HPnbfXOV9ND2ER5+Yc1Ly+flas3NlksFRWVaDSaOlcp84z04GxKfSPCkclkLF66hv/WSgqLl6657mU25+ep0WhYsnwtt992q37agsUr8fH2xNPTrVHrb8hxXNvQwVGsWT6PiVPuYdY9TzD/j2+umuhGjRjMgkUrWbVmE5MmjDIeQwO+17UtWrKaF//zuP7vBYtWYm1tpW8SLy0tqxPTn/OXoNFoDGMbOZhlK9aRnp6JewNPImtaJMrKyo2+/uhDdzNg6K089Nh/sbW1MfiMatu09t8Gra+2Vk1yx47HkZ2TR2VlJUnJaaxZt5nFS9cwcsQgPnjnJf1899w1g6+++5XpdzzEu2++gJenG/MXLGfzll18//VH+qTx9uv/IXLQJIaOms5jj8zBz9eLvLwCTsadISExiV9+/JTjsad49r9vctu0SQQF+qHRaPjjr0UolcqG9dS5Tm+/8R8mTZ3DpKlzePShuykuKeHt9z7D1lbFc089dO33N2Db6jNm9FA++fQ7Pvzka/pEhLNt+x6WLF9bZ75PPniNYWNuY8DQyTz79EN4ebqTkJhEzPGT13xmsaHxjRk1hHl/L6ZHt84EBvqxbMV69u47ZLAsuVzO6688y8OPv8CDj/5X17syMYlPPv0OW1sb5DJ5o9fb1GxsVHz8/qs8+exrXMrOZezoodja2pCalsHOXfsYMjiSWTOn0D8yAhsbFU8++ypvvvY8JaWlfPDxVzg52uvvQdwoW1sbIvv24rOvfsLNzQUnRwd+m7egSc+2jekcEsQdMyfzRnVX9F49e7BtRzSr124GuGZvR2Oa8/NUqax56dUPyMnOIyjIj38XrWDL1l38+tNn+ivCpjyOrzRoQD/WrviTCZPv5va7HuOfed/WOTGpcecdU/nlt3+YPecJXvrP4/Tt05OiomI2bt7J00/cT+eQoAZ/r2v8/Nt8tFotEb3D2Lh5B7/8/g9vvvoctrY21ds0lBWrNvDcC28xYdxIDh85zjff/1bnFs1brz3Hug1bGTh8Ci/99wmCAv1ITctgw6bt/PnrV0bXHRwUgFKp5Ld5C3BwsMPM1JSQ4EB9ko7s24ueYd3ZuXs/Tzx6b739AoK7D6R/VB9+n/u50deNadUkN3P2IwCYm5vh4uxEz/DuzJ/3LdOnTDBohrCysmTbhkW8+NoHvPLGhxQVlRASHMAfv3zJnXdM1c/n4+3Jgd1rePv9z3jtzY+5lJ2Lo4M93bqFcPfs6YDuPp63tydffD2XlNR0zM3N6NGtMyuX/EbvXqHNtq1jRw9j1dLfefeDL7j9rkcxNTVlyKBIPn7/1QbdwG3IttXn9ZefJj+/gC+++Zny8goGD4xk3cq/COo6wGC+PhHh7NqyjDff/ZSnn3+DiooKfH28rtrVubHxffXpu0iSxGtv/w+AcWOG8ffv3xA5eJLB8h649w5KSkr44uuf+fvfZXTvGsy8X79k8m33Y2uravR6m8PDD9yJt5cHn37xA/8sXI5arcbTw42B/fsSHqrrmOPs7MiSf+fy35feZcbsh/Fwd+Wpx+8nNzefdz5o+Bf1Wv7+4xsee+oVnnz2NSwszLlt6kTm/O9tbpk2p8nWYcyP33yMytqK/33+PZWVVQwb0p+vP3+PW6bNwbYR901qNOfnaaOyZv68b3n2P28Se/IMri5OfPF/bxtciTf1cXylAVF9WLfyL8bfehczZj/Cgr++19/Xr83ExIT1q/7mnQ8+Z+6v83nngy9wdLCnf1SE/vZGQ7/XNZYt/IWnn3+D9z76ElsbG1598Slee/lyc+uD980iJSWN3+Yt4Kdf/qZP7zBWLP6Nabc/aLAcP19vorev4PW3/8erb35EcXEpnh6uV+0k4+hoz1efvcv/PvueYaNvQ6PRsGX9QoPOhNOnTuBozAmjHU5qqNWaOleW1yKr7rosCG3eocMx9Bs0kd9//oK7Zk1r7XCEenz6xQ+8+OoHJJzei4+3Z2uHA+geTt6ydTdJ5w62digt7u33PuOdDz6nojDxmvcCW9Og4VOQy2Xs2Fx3kI8b0Xa3WLipJV5I4rsf/2Bg/77Y2Kg4ffosH/7vG/z9fOp0Axdaz+q1mzkZd4aw0K7I5XJ27znAp1/+yG3TJraZBCe0XRUVFRw5doItW3cRve8Qyxb+0uTrEElOaJMszM05cfIMf85fQl5eAfb2towYNpAP3335ms/xCS1HpbJixaoNfPzpd5SUlOLp4caTj93HW9WjaAjC1aRnZDFw2GTs7Gx5+b9PNGiEosYSzZWCIAhCh9UmRzwRBEEQhKYgkpwgCILQYYkk1wRqVzmv71/tKrnN4dDhGB5+/EW6hg/F2rETfsH9uPPeJ42OgKDVavnof9/oy9j07Df6qs/X1FZYWMRb735K917DUTkF4+jRnbA+I3nkiZfIysq+9gKuoLD05u33Pmv0+xrr3oeeNfg8XH3CGDpqGus3btPPU1NO6WoP9d6o5SvX8/lXPzXb8q/U3itTx5/VVbwI7zsKG+cQPP17c+v0e4k5Hmd0/rm/zqdr+FAs7ALpEjbEaCmfVWs2MXvOE3QOHYzSyofhY+p/mB9g3t+L6Tdwgr6c0uARU+tU5riSRqPh0y9+YOS4mbj79cTWpTMRUeP45fd/jVY7ORl3hjGTZmHjHIKzVw/ue+g5cnPzDOZZvGwN0+94CP+QSH05pVfe+IiiouI6y8vLy+fBR/+Li3coKqdgRk+445oxd1Si40kTuLK0xrSZDxLao4u+hAWAmZFnYZrSgsUriTsVz5OP3kvXrsGkpmXw/kdf0XfgBI7s22AwFM4bb/+PT7/8iffe+i+9eoayYNFKZs5+hJVLfmf82OH1rkOj0TB6wh1cSErhheceJSy0GyUlpZyMO8O/i1aQlp6Ji4tTve9vbc7Ojixf9CugG3fx869+YuKUe9iwej4jhg1skRhWrN7Alq27ebYBAwAIusGAt++M5u7Z0+kZ3oP8/AL+7/Mf6D/0FnZuXmrwbOvcX+fz6JMv8dJ/HmfE8EFs3babJ555FUmSDMalXbFqAzHH4+jXt9c1x/V89Y2P+PLbX/jvs4/y0fuvUlpaxsFDxygtNT5yR42ysnLe//hr7po1jScfuw9rayvWbdjKw4+/wJn4c3zywWv6edPSMhg+dgadgwNZ+PcP5BcU8uIr73PLtHvZuWWp/qH6z774EW9vT957+0W8PN04FnOSt9//nO07otm9bbl+PkmSuHX6fVy4mMyXn76DvZ0tH//ft4wYN5Mjezfg5dV04062B6LjSTMI6BzFgP596n36vzlcupRTp2rzxaQUArv059UXn+LtN/4DQFZWNr7B/Xjx+cd46/Xn9fOOGn87l7JzOHZgU73r2Lp9D6PG387SBT9z66QxdV7XarWNHuVCYenNG688a3BCcL2uVhna2HNShYVF+IVEMmhAX1Ys/o0LF5MJ7NKfX378tEEPwF+Pln5eq70/H5adnYujo73B4BAFBYUEdOnPxPEj+ePnLwBQq9V4BUYwdvQwg9Ew7n/4eVat3URqwmH96CK1j9PBI6aiVCrYuqHuEGh79x9m0PApLP7np0ZVOwDdCWFBQSEOVxT1vP/h5/ln4Qpy0mL1w4Y998Jb/P7nIhJORetHF9m5ex/DRt/Govk/MXXyOMD4d3ze34u598Fn2bT2X4YP1T0EvmLVBqbOfIDN6xboR3EqKCgksGt/Zt8+lS8/fadR29LeiebKFnLg4FFGT7gDG+cQVE7BjBp/OwcOHjWYpzHVi6905cEPusFMnZ0dDYZ32rB5B5WVlcyuNVIM6MoWxZ44fdUBXmuqPbi5Gh/5vXaCkySJL76eS5ewIZjbBuDp35snn33tmqVvGlpxuWZf7d1/mIHDJmPlEMSLr35w1WVfycZGRXCQP+cTLtY7T0MrbtdUTN+8dRcRUeOwduxEaMQIg4rS9z70LPP+WkxqWkadZuzi4hKeeu51/IL7YWEXiJtvOKMn3GG0KnNt8xcso3fkWGycQ7Bz7UJYn5H8+PNfdeZrSEXuax2jS5avRWHpTUrK5crT/3npHRSW3vz82z/6aZu27ERh6a2vaF5TmfrsuUQmTrkHG+cQ/EMiefeDL65ZqNjJyaHOIMy2tjYEB/mTVuu43rv/MJcu5dQpsnnnrGnk5OSxO/pykm/oidgPc//E38+70QkOdBUzrkxwABG9w6ioqCA753JT5Ko1mxg/drjB8FmDB0bi4+3JyjWXxzg19h3vU12AtPZ3fNWaTXi4uxoMU2hra8PE8aOadMzU9kIkuRZwPPaUrrJ5XgG//vQZv//8BYWFRQwbc1udews11Yvvnn0bSxfMZcjgSJ5+/o3ruk906vRZsrKy6dI5SD8t7lQ8ZmZmBAX6GcxbM5J+3Kmz9S6vV3h3lEoljz75EstWrKuTeGp77c2Pef7Fdxg5fBArFv/Kf597hD/+WsSkqfdc9YetdsXldSv/4rWXn2br9j1MnHJPnXkLCouYdffj3D7jVtYs/5M7Zkyud7nGqNVqklPSsaseu8+Ymorb3331IWtX/MlTj93Hb/MWct/Dz9eZ93zCRZ7971s889SDLP7nJ9zcXJl556Ocq67n9tpLTzNuzHCcnR3Zs30Fe7avYMm/cwF47oW3WbR0Na+/8iwbVv/N9199SFho1zqV0GvbHX2Au+97msGDIlm64GcW/v0DD9w7q86YmDUVuWfdPpVlC38honcYjz/9Ctt2ROvnacgxOmRgJDKZjK079ujft217NBYW5myrPW1HNK4uznTrGmIQx7TbH2D40P76loC33vuUP65jEOnc3DxOxJ3R1/gDOBmnqynZ/Yp11hzXp6prTjbGnuiDhPboyv8++x7vwAhMVX6ERoxg0dLVjV5WjZ2792FnZ6svEVRWVkbiheQ6cQN07RJ8zbh37NoHQJcQw+94t251l9etSzBJyakUF5dcd/ztkbgn1wLe/fALzMzM2LT2H/3Z2qjhgwjoEsU7H3yu/6EDKCoq5odvPtKPwj129DBS0zJ5+73PuOfO2xpcWkStVvPYUy/j7OzIfffcrp+em5uPna1NneU4VJeOyb1K4grw9+XbLz/guRfeYvodDyGTyejSuRPjxgzjmSce0I/BmZubx2dfzeXuO6fz9efvAbrBX52cHLnn/qdZvXZzvQ99Dh4YyeCBkfq/+0dGEBTox5CR0zh67IRBjani4hLm/fKl0abTq+0XgIyMS7z30ZdkZGbxwvPGy6oABqOrSJLEgKg+qGxUzHngGb75/H0cHS+frWfn5LJ902I6BfkD0Cu8B54BvVm0ZDUvv/AkgQF+ODs7YGpiQmTfXgbr2XfgMLNmTub+OZc/qym3jrvqtuw/cAQ7Oxs+/99b+mmjaxXvrVFUVMw3X7yvP7MfPLAfGzfv4N+FK/TTGnKMOjk50KN7Z7bv0N0jy83NIyY2jmeefIB/F16+L719RzRDBkfWiePZpx7SV5UYOXwQ23bs4d9FKwwqTTTEU8+/gSRJPP3E5bJCNSdcV9YGbMhxXZ+09Eyyc3I5FnOSjz94FWcnR+b+Op/b73wU0wUmjTruQFeQddGS1bzzxn/0w2vV1Jq8chDkmtjjz9YtMVYjNTWdt977lBHDBxFRfUUHum319fWqM7999ZiXefkFWFtbNSr29kxcybWAXXv2M2HcCIMD2cZGxaQJo9i5e5/BvA2pXtwQTz77OtH7DjPvly/1B3dTeODeO7gYv58/f/uKB++bjVar5dMvfqRHxEh989S+A0d1TaK3GzaJ3n7bLSiVyjrbXFtjKi6bmJgwcfzIBseempahr8ztG9yXfxYu5+3Xn+fJx+6r9z2NqbjdKchfn+AAXFyccHF2Iik57ZqxRfQK44+/FvHhJ19z6HBMgwahjegdRl5eAXfd9xSr124mP7/A6HwNqcjd0GN02JD+bN+5F4DtO/dhZ2fDM088SHpGFqdOn6WoqJjDR2MZOrhuRY8JYw0rYnfrGkJyA/ZNbR/97xv+WbCcrz57l6BA/2u/4QZotVqKiopZNP9HZs2cwqgRg/n3z+/o1jWYj/73DaA78aldQfzKUlA14k7FM3vOEwwb0p8Xnn/shmMrLi5hyoz7USoU/PpD81Ta6ChEkmsBubn1VTZ3IS/P8IfpWtWLG+Ll1z9k7q9/8/MP/1fnzN7e3pb8gkIkybC/UU1hxCsLuBpjb2/HrJlT+P7rDzl5dBtLF/yse7Sg+lGAmrPmK7dZqVTi6GBfpwhjba+88RFvv/85s2+fwqqlf7Bv5yoW/6Prcn9lTzhnJwd9maWGcHFxYv+u1RzYvYbzp6LJTT/Jay8/c9V7NPc9/Dw//vwXTz52HxtW/83+Xav5pvrq9Mp4jO07MzNTg6rK9fnqs3d56P47+W3eAvoNmoibbzjPvfCWvh6dMUMGRbHg7x9ISUlj2u0P4uqju493PNawq3hDKnI39BgdOrg/F5NSSEi8yPad0QweGImXlzshwYFs3xHNzt37UavV+k4QtdVcVdWOoSFVy2v8MPdPXn3zY959878GrROAPjlf+X1qzHF9JUcHexwc7OjVs4d+mlwuZ/jQgRyrbsLdsWuf/sSp5t+VEhIvMmbiLPx9fVjy71yDQZLt7HQFlY2doOTm5huNu6ysjFun30vChSTWrfyrTm9Jeztb8owsT3+1a+R46MhEc2ULcHCwM1oVPCMzq07zSkOqF1/NBx9/xSeffsdXn75rdKT+rl2Cqaio4HzCBYMz4bjTZ6tf79Swjarl1kljCOvRlVPVy6j5YmZkXjK4L6NWq8nJzavzY1dbYyouN6YqNICJUmnQrHMtLVlx29raig/eeYkP3nmJi0kpLFm2hpdf/whTU1M+eu+Vet83fcoEpk+ZQHFxCdt37uXl1z9k/K13knTuYKN6ujb0GB08sB8KhYKt26PZtiOahx+4E9Bd4W3dEY2vjyeeHm4GV7RN4c/5S3jimVd57umHeOXFp+q83q2r7t7byVPxBoU8a47rLkaqt19Lt67BHI05YfS1mmOvd88e7N9V/z26lJR0Ro2/AxsbFetW/oXNFeWHLC0t8PP15qSRe2+nTp9l8CDDZt+qqipum/UIh44cZ8Pq+fTo3qXO+7p2CWbTlp11psedjsfH2/OmaqoEcSXXIgYPjGTdhq0GD20WFRWzeu1mhgwyfEi8pnpxbVdWL67P19/9yutv/4/33nqBx+upNj521FBMTEyY/+9yg+nz/11G924h+Pv51Lv8nJw8qqqq6kwvKSklOTVNfyUQ2bcnpqamLFi08ortWIVara6zzbU1tuJyc2qOittmpmaUlV/9ys7Xx4vnnn6YHt06c+LkmQYt19raionjR/LQ/bNJz8giJyfv2m+qpaHHqJ2dLT3DurGw+rnMmmbQYUMHsHP3PrZu28PQJi4+vGzFOu5/+Hnun3MH//vwdaPzRPXrjZOTA/P/XWYw/e9/luLgYMeAqIhGr3fypDHk5uZz6HCMfppWq2Xz1l306a17Pk+lsiaid5jBvxqXLuUweuIdAGxYNR8nJwej65k0YRRr12816DC0O/oAF5NSDKqCa7Va7rz3Kbbt2MPSBT/Xua9be3mpaRns2LVXP62wsIjVazfXW2W8IxNXci3gtZeeZs26zYwafzv/ff4xZMj432ffUVpaxusvP2Mwb0OqFxvz76IVPPvftxgzaijDhg5g34Ej+tdsVNZ0rT6TdXFx4tmnHuSj//sWlcqKnuE9WLh4JVu379E/KF2fbTujee6/bzHrdl3Fazs7Gy4mpfLt97+Rm5vPM0/qiis6ONjzXPU6rKwsGTdmGKfPnOP1t//HwP59mDBuRL3ruJ6Ky82lOSpud+3Sibm/5vP9T/OI6BWqK9rbvQsDht7KpAmj6N6tM9bWVuzctY+Y2DjuvrP+QqFvvvN/ZGZlM3RIFB7urqSkpvP1d78SHtrNaHfzq2nMMTp0SH/+7/MfcHFx0l+pDx0URU5OHtnZuTz5eP33OBtr5+59zJ7zJGE9unLPXbcZHNdmpqb6jkgmJia8/fp/eOKZV/H0cGPE8EFs276H3+Yt4KtP3zEoTHoxKYWD1YkrJzcPuVzO4mVrAF2XfF8fXaeN++bcznc/zeO2WQ/zzpv/xcnRgbm//s2Z+POsX/X3VeMuKytj3C13cuFiCj//8D9S0tJJSbv86EXXzp30V3X/eeZh/v53KZNvu48X//M4BYVFvPTqB/Tr05MptR5feOKZV1m8dDWvvPAkVlaWBvvCy8Nd32x5y8TRRPXrzd33Pc3HH7yqfxhckiT++1z9naw6KpHkWkBojy5sXb+I19/+hHsffBZJkojs24ttGxYRFtrVYN6GVC82ZsOm7UiSxIZN29mwabvBa0MGRRo87PreWy9gbWXJV9/+SkbmJUKCA/j3r++v2Ykjsk8v7pw1jW3b9/D7nwvJyyvAzs6GiF5hbFg93+A+zHtvv4izsyM//vwX3/80D0cHe+6aNY0P3nnpqs1o11txubk0dcXt++fcwb4DR3jtrU/Izy/A18eLhNN7GTSwH4uWrObjT79DrVYT4O/DZ5+8edVOMX379OTr73/l+Rc2kZuXj4uzI6NGDOad6gf/G6Mxx+jQwbokV7uqc03Py+Oxpww6udyobdujq2uOxTJouOEzcDX7rsYjD96FTCbj869+4v+++BEfbw++/uxdHn3Y8PGTbTuiuf+KR0Bmzn4EwGAgAHNzczat+YcXXn2fZ//7JqWl5fQM68aa5fOuOUJOZla2vqnzrnvrNq/Wrort6enOlnULeP6ld7lt1sOYmppyy8RR/N+Hbxh8V9Zv3A7AB598zQeffG2wvNoDKsjlclYu+Y3/vvweTzzzKuXlFUT1682WdQsNRj66WYgRT9qQ9j46hSAIQlsj7skJgiAIHZZIcoIgCEKHJZorBUEQhA5LXMkJgiAIHZZIcoIgCEKHJZKcIAiC0GGJJCcIgiB0WCLJCYIgCB2WSHKCIAhChyWSnCAIgtBhiSQnCIIgdFgiyQmCIAgdlkhygiAIQoclkpwgCILQYYkkJwiCIHRYIskJgiAIHVaLVQbPLSzh95W7KCwpQ4aMgT2DGdG3KyVlFcxdtp2c/GIc7ax5cMpQrCzMkCSJhRsPcOJ8CqYmSu6ZOBAfd0cA9h4/x9rduvL14weGERUaBMDF9Gz+WLWbKrWG7oFezBjdF5lM1lKbKAiCILQxLZbkFDIZ00f0wcfdkfKKKj74dRVd/D3Ye/wcnf3cGds/lPXRx9mwN5apwyM4cT6VrNxC3nl0Kolpl5i/fi8v3TuRkrIK1uw6xsv3TQLgw19XEdrJGysLM+av28edE/rj7+HMN/9u5uT5VLoHebXUJgqCIAhtTIslOVuVJbYqSwDMzUxwc7Qlv6iU4/FJPHfnWACiegTx2V/rmTo8guPxSUSGBiKTyQjwdKGsvJKColLikzLo4u+BlYUZAF38PYhLSCXYx43yykoCPF0AiAwNJCY+6ZpJrqCw0Oh0mUyGJLWvUnsi5pYhYm4Z7S3m9hYv3FjMMsDGxqZpA2oGLZbkasvOLyI5Mxd/TycKS8r0yc/G2oLCkjIA8otKsbex0r/HzsaK/KJS8q6crrIir6hUN7/KcHp+UanR9e86coZdR+MBmDMxCg9XpybfRkEQhI6suLi4tUNokBZPcuWVVfy0ZDszRvXFwszU4DWZTNYi99AG9QphUK8QQHclZ+xqztbGpt6rvLZKxNwyRMwto73F3N7ihRuLWSFvH/0WWzRKjUbLT0u20bd7AD07+wJgY2VBQfUVV0FRKSpLcwDsVJbkFZbo35tfWIKdyhL7K6cXlWCvstTNX2Q43a76ClEQBEG4ObVYkpMkiXlr9uDmaMvIft3000ODvdkbew6AvbHnCA320U3v5M2+4+eRJImE1CzMzUyxVVnSNcCTuIQ0SsoqKCmrIC4hja4BntiqLDE3NSUhNQtJkth3/Lx+WYIgCMLNqcWaK8+nZLE/9jyeLva8N3cFALcO682YqB7MXbaDPcfO4mhrzYNThwLQPciLE+dTef27pZiaKLhn4kAArCzMGD8wjI9+Ww3AhEFh+k4os8ZG8sfq3VRWaegW6En3QM+W2jxBEAShDZJpSpPbV3egJlZfe/TN1r7eWkTMLUPE3PzaW7xw4/fkrK2tmziiptcqvSsFocaq+Ao+i9aQWQKuVvBIuIyxAe3jhrYgCG2fSHJCq1mfoOWj/aWUq3V/Z5TAR/skQCsSnSAITUL8kgit5odjkj7B1SjX6KYLgiA0BZHkhFaTWdK46YIgCI0lkpzQalytGjddEAShsUSSE1rNI+EyzK+4K2yu0E0XBEFoCqLjidBqxgbIsbQ047PoUtG7UhCEZiGSnNCqJgWbMditorXDEAShgxKnzIIgCEKHJZKcIAiC0GGJJCcIgiB0WCLJCYIgCB2WSHKCIAhChyWSnCAIgtBhiSQnCIIgdFgiyQmCIAgdlkhygiAIQoclkpwgCILQYbXYsF7zVu0m9lwKKitz3nhoMgBzl24nM6cAgNKKSizNTHntwVvJzi/i7R+X4+pgA4C/pzOzx/cH4GJ6Nn+s2k2VWkP3QC9mjO6LTCajpKyCucu2k5NfjKOdNQ9OGYqVhVlLbZ4gCILQBrVYkosKC2JoRBd+X7VLP+3BqUP1/79480EszEz0fzvbq3jtwVvrLGf+un3cOaE//h7OfPPvZk6eT6V7kBfro2Pp7OfO2P6hrI8+zoa9sUwdHtGs2yQIgiC0bS3WXNnJxw1LC1Ojr0mSxOG4RCK6BVx1GQVFpZRXVhLg6YJMJiMyNJCY+CQAjscnEdUjCICoHkHEnElq2g0QBEEQ2p02UYXgXHImKisLffMkQHZ+Me//vBJzMxNuGdKLTj6u5BeVYq+6XFHTTmVFflEpAIUlZdiqLAGwsbagsKSsZTdCEARBaHPaRJI7eDKRPt389X/bWlvywRPTsbY052J6Nj8s2sobD09u8PJkMhkyWf2FN3cdOcOuo/EAzJkYhYerk9H5bG1sjE5vy0TMLUPE3DLaW8ztLV64/piLi4ubOJLm0epJTqPVcvTMRV65b5J+molSgYlSAYCvuxNO9iqycgqxU1mSV1Siny+/qAS7mqs3KwsKikqxVVlSUFSKytK83nUO6hXCoF4hABQUFlJQWFhnHlsbG6PT2zIRc8sQMbeM9hZze4sXbixmhbx9dM5v9ShPJ6bh5miLvc3lZsiiknK0Wi0Al/KKyMotwsleha3KEnNTUxJSs5AkiX3HzxMa7ANAaLA3e2PPAbA39px+uiAIgnDzarEruZ+X7SD+YgbFZeW89NVCJg0OZ0B4MAfjEunT1d9g3rPJGazacQyFXNfsOHtclP5xgFljI/lj9W4qqzR0C/Ske6AnAGOiejB32Q72HDuLo621Qc9NQRAE4eYk05QmS60dRGuq71L9Zmt6aC0i5pYhYm5+7S1euPHmSmtr6yaOqOm1enOlIAiCIDQXkeQEQRCEDkskOUEQBKHDEklOEARB6LBEkhMEQRA6LJHkBEEQhA5LJDlBEAShwxJJThAEQeiwRJITBEEQOiyR5ARBEIQOSyQ5QRAEocMSSU4QBEHosESSEwRBEDoskeQEQRCEDkskOUEQBKHDEklOEARB6LBEkhMEQRA6LJHkBEEQhA5LJDlBEAShw1K21IrmrdpN7LkUVFbmvPHQZABW7TzK7qNnUVmaAXDrsN70CPICYP2e4+yJOYtcJmPG6H50C/QE4OT5FBZuPIBWkhgQ3omx/UMByM4v4udlOygpq8DHzZF7bx2EUqFoqc0TBEEQ2qAWS3JRYUEMjejC76t2GUwf0a8royO7G0xLu5TPwbhE3nhoMgXFpXzx90beeXQKAP+s38/Ts0Zjb2PJh7+uJrSTDx7OdizdepgRfbvSp1sAf6+NZs+xswzp3bmlNk8QBEFog1qsubKTjxuWFqYNmvd4fBJ9uvpjolTgZKfCxUHFhbRsLqRl4+KgwtlehVKhoE9Xf47HJyFJEmcupNOrix8AUaFBxMQnNePWCIIgCO1Bi13J1Wf7oVPsjz2Pr5sj00b2wcrCjLyiUgI8nfXz2KmsyCsqBcBeZXV5uo0ViamXKCmrwNLcFIVcrp+eXz2/MbuOnGHX0XgA5kyMwsPVyeh8tjY2N7x9LU3E3DJEzC2jvcXc3uKF64+5uLi4iSNpHq2a5Ib06syEgWEgk7Fy+1GWbD7I3ZMGNvt6B/UKYVCvEAAKCgspKCysM4+tjY3R6W2ZiLlliJhbRnuLub3FCzcWc81FRVvXqlHaWFsgl8uRy2QM7NmJC+nZANirLMkrLNHPl19Ugr3KUje9qNb0Qt10KwszSssr0Wi1+ul2KsuW3RhBEAShzWnVJFdQq0nx2JkkPJztAAgN9uZgXCJVag3Z+UVk5Rbi5+GEr4cTWbmFZOcXodZoOBiXSGiwNzKZjBBfN46cugDA3uPnCO3k0wpbJAiCILQlLdZc+fOyHcRfzKC4rJyXvlrIpMHhxF/MIDkzF5lMhqOtNbPHRQHg4WxP7y5+vP3jchRyGbePiURefWk8c0wkX/2zCa1Won9YEB7O9gBMGR7Bz8t2sHLHUbxdHRgQ3qmlNk0QBEFoo2Sa0mSptYNoTfW1R99s7eutRcTcMkTMza+9xQs3fk/O2tq6iSNqeu3jzqEgCIIgXAeR5ARBEIQOq9WfkxMEQRBazvoELT8ck8gsAXfrAh4Kkxgb0HGvd0SSEwRBuEmsT9Dy0T6Jco3u77RiLR/tA9B22ETXMbdKEARBqOOHY5cTXI1yjW56RyWSnCAIwk0is6Rx0zsCkeQEQRBuEq5WjZveEYgkJwiCcJN4JFyG+RVlNs0Vuukdleh4IgiCcJPQdS6p3btSLnpXCoIgCB3H2AA5YwN0/98eR2lprI6bvgVBEISbnkhygiAIQoclkpwgCILQYYkkJwiCIHRYouOJIAhCM6s9XqSrla7Lfkfu0diWiCQnCILQjK4cLzKjBD7aJ9GRx4tsS8QeFgRBaEY343iRbYlIcoIgCM3oZhwvsi1psebKeat2E3suBZWVOW88NBmAJVsOcvxsMkqFAic7FfdMGoCluRnZ+UW8/eNyXB1sAPD3dGb2+P4AXEzP5o9Vu6lSa+ge6MWM0X2RyWSUlFUwd9l2cvKLcbSz5sEpQ7GyMGupzRMEQTDK1UrXRGlsutD8WizJRYUFMTSiC7+v2qWf1sXfg8nDeqOQy1m69RDro2OZOjwCAGd7Fa89eGud5cxft487J/TH38OZb/7dzMnzqXQP8mJ9dCyd/dwZ2z+U9dHH2bD38rIEQRBayyPhMoN7ctDxx4tsS1qsubKTjxuWFqYG07oGeKKQ60Lw93Amr7D0qssoKCqlvLKSAE8XZDIZkaGBxMQnAXA8PomoHkEARPUIIuZMUjNshSAIQuOMDZDzUqQMNyuQAW5W8FKk6F3ZUtpM78romLNEdPXX/52dX8z7P6/E3MyEW4b0opOPK/lFpdirLl/j26msyC/SJcbCkjJsVZYA2FhbUFhS1rIbIAiCUI/a40UKLatNJLm1u2OQy+X07a47CmytLfngielYW5pzMT2bHxZt5Y2HJzd4eTKZDJms/qaAXUfOsOtoPABzJkbh4epkdD5bG5uGb0QbIWJuGSLmltHeYm5v8cL1x1xcXNzEkTSPVk9y0TFniT2XwrOzx+gTk4lSgYlSV/TI190JJ3sVWTmF2KksySu6fAc3v6gEu5qrNysLCopKsVVZUlBUisrSvN51DuoVwqBeIQAUFBYaHYW7PY7OLWJuGSLmltHeYm5v8cKNxVxzq6mta9UoT55PYeO+Ezx22whMTS7n26KScrRaLQCX8orIyi3CyV6FrcoSc1NTElKzkCSJfcfPExrsA0BosDd7Y88BsDf2nH66IAiCcPNqsSu5n5ftIP5iBsVl5bz01UImDQ5nfXQsarWGL+dvAC4/KnA2OYNVO46hkOuaHWePi9I/DjBrbCR/rN5NZZWGboGedA/0BGBMVA/mLtvBnmNncbS15sGpQ1tq0wRBEIQ2SqYpTb6pH7uv71L9Zmt6aC0i5pYhYm5+7S1euPHmSmtr6yaOqOm1j0ZVQRAEQbgOIskJgiAIHZZIcoIgCEKHJZKcIAiC0GE1qHdl/MUMTJQK/D2dAd2zbXuOncXD2Y5pI/tgbmrSrEEKgiAIwvVo0JXcok0HKCjWDZOVkVPA/HV78XSxJyH1Eku3HGrWAAVBEAThejUoyWXlFeLpYg/A0dMX6eLvwaxxUdw5vj/HzyY3a4CCIAiCcL0alORkMhlaSfc43ekL6XQN0D2AbWNtQUlZRfNFJwiCIAg3oEFJzs/dibW7Y9gXe55zSZl0D9IluZz8YmytLZo1QEEQBEG4Xg1KcreN6ktKZi7/btjHuAGhONvrRq0+fOoC/p4uzRqgIAiCIFyvBvWu9HSx53UjVbqnj4xALhNPIQiCIAhtU6My1MW0bA7FJVJRWQWAVivpSt0KgiAIbZtUgrJqD+ZlX6IqvBNl1b7WjqhFNOhKrrC4jO8XbeFCWjbIZLzz6FScTU1YvPkgSqWCmaP7NXecgiAIQmNIxSjVRzGpOohSfRCFJg4Zav3LSvV+YHTrxddCGpTkFm0+gMrKgv977g5e+WaRfnqvLn4s2LC/2YITBKF5rU/Q8sMxicwScLWCR8JljA0QtyDaI5m2EKX6MEr1oeqkdgoZWv3rEnLUiu6olX1QKyNQK3th1orxtpQGJbnTF9J5ZtYYfU23Gs72KnILS+p5lyAIbdn6BC0f7ZMo1+j+ziiBj/ZJgFYkunZAps3XJzSl+hAKzRlkXK6cJqFEreiBWhlBlUkf1MqeIGv7pXGaWoOSXFWVBqWi7kFfVFKOiVLR5EEJgtD8fjh2OcHVKNfopo8NaJ2YhPrJtDnVSa36nybe4HUJJVXK0OqrtD6olWEgs2qlaNuOBiW5Tj6u7D1+jsnDegMgk4FWq2Xj3hOE+Lk3a4CCIDSPzHoaYeqbLrQsmfYSSvVBTKqqmx+1CQavS5iiVobVan4MA5l5K0XbdjUoyU0ZHsFnf63jQno2arWWxZsPkn4pn7KKSv57z/jmjlEQhGbgaqVrojQ2XWh5Mm26PqEp1YdQaC8avC5hjloZXutKrQfIboa7ajemQUnOw9mO1x+8lZ2Hz2CiUFCl1tCrix9De3fGVmXZ3DEKgtAMHgmXGdyTAzBX6KYLzU+uSdUnNF1SMxwHWMIStbInamUfqkwi0Ci6gcy0laJtv66Z5DQaLf+bt5Y5twxi0pCeN7Syeat2E3suBZWVOW88NBmAkrIK5i7bTk5+MY521jw4ZShWFmZIksTCjQc4cT4FUxMl90wciI+7IwB7j59j7e4YAMYPDCMqNAiAi+nZ/LFqN1VqDd0DvZgxui8ymfjCCoIxus4londli5Ak5NqkWvfUDqLQphvOgjVVJr2rr9Qi0Ci6gqxB1yHCVVxzDyoUcnLyi5vkme+osCCGRnTh91W79NPWR8fS2c+dsf1DWR99nA17Y5k6PIIT51PJyi3knUenkph2ifnr9/LSvRMpKatgza5jvHzfJAA+/HUVoZ28sbIwY/66fdw5oT/+Hs588+9mTp5PpXuQVxNELggd09gAuehk0hwkCbk2EaX6UPVzaoeQS1kGs2hlNqiVNUmtLxpFCMhER76m1qDThMjQQHYfi2faiD43tLJOPm5k5xcZTDsen8Rzd44FIKpHEJ/9tZ6pwyM4Hp9EZGggMpmMAE8XysorKSgqJT4pgy7+HvrHGbr4exCXkEqwjxvllZUEVI+lGRkaSEx8kkhygiA0P0mCyjOYlW/XX6nJpRyDWbQy++qk1qf6Si0YxLCIza5BSa6iUs2BkwmcSkjDx90JMxPDt80cc/0jnhSWlOnv69lYW1BYoivOml9Uir3N5TvgdjZW5BeVknfldJUVeUWluvlVhtPzi0qvOy5BEIR6SVoUmvhaz6kdRp6fR+0eClqZoz6hVZn0QSsPEEmtFTQoyWXkFODjprsfduWVWFPe8ZLJZC1yD23XkTPsOqp7xmTOxCg8XJ2MzmdrY9PssTQ1EXPLEDG3jDYTs6SBypNQsQ9Z+T6oOIBMW2A4i8IVzCKRzKPAPBKUAShlMpRAW+7Yf737uLi4uIkjaR4NSnI1zYnNwcbKgoKiUmxVlhQUlaKy1B0OdipL8mqNppJfWIKdyhJ7lSXxFzMuTy8qIdjXTTd/UYnBdLt6en4O6hXCoF4hABQUFlJQWFhnHlsbG6PT2zIRc8sQMbeMVo1ZUqPQxNV6Tu0IMgx/1DVy91rPqEWgsutOQVERSEAZQJGxJbcpN7KPFfL2cVXaoCRXUFyKVisZNBMC5BWWoJDLsbmBwqmhwd7sjT3H2P6h7I09R2iwj256J2+2HzpNRFd/EtMuYW5miq3Kkq4BnizfdkRfkTwuIY3Jw3pjZWGGuakpCalZ+Hs4s+/4eYb26XLdcQmCcBORKlFoTtZ6Tu0oMgxvd2jk3vqEplb2QavwNFyG6MndJjUoyf22Yhe9u/ozqGewwfS4hFQOxV3g6VkNG8n652U7iL+YQXFZOS99tZBJg8MZE9WDuct2sOfYWRxtrXlw6lAAugd5ceJ8Kq9/txRTEwX3TBwIgJWFGeMHhvHRb6sBmDAoTN8JZdbYSP5YvZvKKg3dAj3pHuhpNA5BEG5yUiVK9fFaz6nFINNdfulp5L76hFZlEoEkF6M7tUcNSnIX07O5fWxknelB3q4s2XKowSt7YMoQo9OfnT2mzjSZTMYdRtYJMCC8EwPCO9WZ7uvhpH/+ThAEQU8qR6mOqdVR5DgyKgxm0cgD9AlNrYxAkru0UrBCU2pQktNqJdRqTZ3pVWoNao3WyDsEQbjZtKmyPVIpSvWxWldqscioMphFrQiu1fwYgSR3bJ1YhWbVoCTn5+nMziNnmDUuymD6jsOn8XUXB4Yg3OxavWyPQYHQQyg0Jw0KhErIUCs61xr3sTeS3L754xJaXYOS3K1De/L5XxtIycqjs68bAKcvZpCckcMzRpoaBUG4ubR02R5dgdAj1VdpB+opENrNoECoJLdt+kCENq9BSS7A04UX50xgw94THD2TBICPmwOzxkZSVFrerAEKgtD2NXfZHl2B0MO1CoSevqJAqAK1IuymLxAq1NXg0T+9XB24f/JgQPfoQHTMOX5YvJWcghK+f+WeZgtQEIS2r6nL9si0OVCyC4vSnfUWCFUrelQntAjUynBRIFQwqsFJTqvVEhOfzJ5jZ4lLTMXLxYFBvULo3cWvGcMTBKE9uNGyPboCoTWDGV8uEFozUsjlAqE1HUXCQHb9z+cKN49rJrmMnAL2HItnX+x5zEyU9OkWQFxCKnNuGYSHs10LhCgIQlvX2LI9Mm3GFQVCLxi8LmEO5hGUEy4KhAo35KpJ7v/mrSXtUj49Q3x5cMpQgqs7nWzYG9sSsQmC0I5crWzPtQuEWlxRILQ7trZOlLezociEtueqSS4h5RJDIjozqGcwHs6iu60gCA0gSci1ybUevDZeIFSt7FX94HUfNIouIDNppYCFjuyqSe6l+yay59hZ/m/eOhxtrenXI5A+3fxbKjZBENoDSUKuvaC/UjOpOoRcyjSYxbBAaB80is6iQKjQIq6a5HzcHPEZ68j0kREcPnWR6JizLN16CEmCE+dSsLW20I8bKQjCTUKSkGvP6x+81lW9zjaYRSuzMxhNRFcgVCQ1oeU1qHeliVJJZI9AInsEkpVbyJ5j8Ww5cJKVO44Q4uvOk3eMau44BUFoLZIWheasYYFQKddgFl2B0IhaBUIDRYFQoU1o8CMENVwcbJgyPIJbh/bi+NkUomPONkdcgiC0FkmDQnOmVkeRw8glwwKhWplzdULri1oZgVbuL0rNCG1So5NcDblcTniID+EhPk0ZjyAILU1So9CcqnWldgS5ZFjwUytzq/XgdR+0ch+R1IR24bqTnCAI7ZRUhUJzslbV66PIMByuRCP3MiwQKvcUSU1ol0SSE4SOTqqE8v2Yl+2ovlo7ZqRAqI9+MGNdgVCPVgpWEJqWSHKC0NFIFVcUCI1BRgW1B8HSFQiN0D+nJgqECh2VSHJCi2hTBTU7Gqm0OqnVdBQ5XqdAqGQSTIW8d61aak6tFKwgtKxWT3IZOQX8vHS7/u/s/GImDQmntLyS3UfPorLUPYd367De9AjyAmD9nuPsiTmLXCZjxuh+dAv0BODk+RQWbjyAVpIYEN6Jsf1DW3x7hLquVlBzZnhrRtZOSSUo1Uf199QUmhNGCoSG1KqlFoGNnS9lYogs4SbU6knOzdGW1x68FdBVOnjpq4WEh/gSHXOWEf26Mjqyu8H8aZfyORiXyBsPTaaguJQv/t7IO49OAeCf9ft5etZo7G0s+fDX1YR28hGDSLcBVyuoKZJcA0hFKNVHalW9jkPG5R16uUBoTUeR3qJAqCBUa/UkV9vpC+k42dvgaFt/scPj8Un06eqPiVKBk50KFwcVF9J0oy24OKhwtlcB0KerP8fjk0SSawOau6BmR6MrEHrkigKhtateK1AretR6Tq0nyFStGLEgtF1tKskdOplIn66Xx8bcfugU+2PP4+vmyLSRfbCyMCOvqJQAT2f9PHYqK/KKSgGwV10ummhnY0Vi6qWWC16oV1MX1OxoZNo8/fBYSvVBFJr4K6peK1ErQms9p9ZTFAgVhAZqM0lOrdEQczaZycN6AzCkV2cmDAwDmYyV24+yZPNB7p40sEnWtevIGXYd1VUanjMxCg9X4zfhbW1smmR9Laktxvxc/wre2FZK+eXbRpgr4bn+lkDbjPlabihmzSUo34esfB9U7ENWdWXVa1Mks55gHolkFglmvZHLLTADbmSk2JtuP7eC9hYvXH/MxcXFTRxJ82gzSe7EuVR83ByxsdZ1dK75L8DAnp34buEWAOxVluQVXr4syC8qwV6l+7HMK6o1vfDy9CsN6hXCoF4hABQUFlJg5Ia8rY2N0eltWVuNebAbvNRPVqd35WC3CsCsTcZ8NY3dzzJtVnUnkZoCoYkGr0uYVVe9rrlSCwVZdU3sKqCqqvp/Wi7mtqC9xdze4oUbi1khbx+9o9tMkjsUl2BQxqegqBTb6iR17Mzle2uhwd78snwnI/p1o6C4lKzcQvw8nJCArNxCsvOLsFNZcjAukfsnD26FLRGMuVpBzY5Gpk2rHkmkuvlRm2Tw+uUCoRHVBUJ7gMy0laIVhI6tTSS5isoqTiWmM3tcf/20pVsPkZyZi0wmw9HWmtnjogDwcLandxc/3v5xOQq5jNvHRCKvPqOYOSaSr/7ZhFYr0T8sSBR6FZqfJCHXptR68PoQCm2q4SxY1ioQ2heNoqsoECoILUSmKU2Wrj1bx1XfpfrN1vTQWtpdzJKErWUuZfnbqguEHkQuZRjMopWpUCt76ZsfdVWvW/d8st3tZ9pfzO0tXrjx5kpr6/p7wrcVbeJKTmgdYhSSBpAk5NoEfUJTqg8hz79E7b6NWpmtwWDGokCoILQdIsndpIyNQvL+XonPDmooqryJk56kRa49V6vq9WHkUo7hLHJHqhS1r9Q6iQKhgtBGiSR3kzI2CkmVFqoqdf9fe+itDp3oJG11gdBD+n9yKd9gFq3MCbWyT/U9tQhUdj0pKSoyvjxBENoUkeRuUg0ZbaRm6K0O1StSUqPQnL6iQKjhPQmtzFU/Or+ulpqvYS01UVdNENoNkeRuUvWNQnKldj/0llRVXfW65jm1I0YKhHro76eplRFo5d4ikQlCByGS3E3qkXCZwT25+rS7obekShSaE9XPqR2srnp9ZYFQ71oPXvdBqxAFQgWhoxJJ7ialu892uXeljRmUVIK61gMl5gpdMmzTpAqU6uO1aqnFIKPcYBaN3E+f0HRVr91aKVhBEFqaSHI3sStHIWnJRwouryuvceuSyq6oen0cGZUGs2jkgbXuqUUgyZ3rWZggCB2dSHKCXksNvXW1Iqp1Ep1UglJ9TP+cmkITa1AgFECtCDYoECrJHZp/IwRBaBdEkhNa3NWKqI71LzZSIPTKqtddanUU6Y0kt2vZDRAEod0QSU5ocbV7daqUhUQ4HKGP4yH6Oh7GLv+UkQKh3WtdqfVCkre/ciaCILQOkeSEFiXT5jPa7QARDofo43iYzjZnkMuuLBDao1aB0F6iQKggCNdNJDmhWcm02SjVh6ufUzuEQnuWryMuv16pMeF4fncO5kZwICeCz8b2ApnxOoCCIAiNJZKc0KQuFwg9VF12JsHgdQkzjuWFsvtSbw7mRHAsL5QKra5AqJsVYmBjQRCalEhywg2RadNrPXhdX4HQ8FodRXpwOk/Jz+cNO5+0i2fyBEFod0SSExpOkpBrU2s9eH0IhTbFcBYsUSt7Vt9T61NdINSw6rXuMQVR5kcQhOYnkpxQP0lCrk3SJzVjBUIlrKky6a1/Rk2X1K59WNU8k9ceC00KgtB+iCQnXCZJyLWJhgVCpSyDWbQymysKhIaI+2iCILRZIsndzCQtcu35WgVCD9UpEKqV2aNW9kat7CsKhAqC0O60mST3yjeLMDc1QS6TIZfLeeX+SZSUVTB32XZy8otxtLPmwSlDsbIwQ5IkFm48wInzKZiaKLln4kB83B0B2Hv8HGt3xwAwfmAYUaFBrbhVbYykRaGJrzXuo7ECoY76B6+rTPqglQeKsjOCILRbbSbJATx351isLc31f6+PjqWznztj+4eyPvo4G/bGMnV4BCfOp5KVW8g7j04lMe0S89fv5aV7J1JSVsGaXcd4+b5JAHz46ypCO3ljZWHWWpvUuiRNdYHQg9XPqh0yUiDURZ/QdAVC/URSEwShw2hTSe5Kx+OTeO7OsQBE9Qjis7/WM3V4BMfjk4gMDUQmkxHg6UJZeSUFRaXEJ2XQxd9Dn9S6+HsQl5BKn24dqbT1VUhVKKrLzui69R9BRrHBLCUad5QWlwcz1sp9RFITBKHDajNJToaML+dvRCaTMahnMIN6hVBYUoatSjf6hY21BYUluuKX+UWl2NtcHurJzsaK/KJS8q6crrIir6i0ZTekJUmVKDQn9c+pyfKPYiMZbm9yqRcHsiM4kKt7+Dqn0pOXIkV3fUEQbg5tJsn95+5x2NtYUVhSxpfzN+LmZGvwukwmQ9ZEVxy7jpxh19F4AOZMjMLD1cnofLY2bWwgYKkCKo5C+T5kFfuh4hAyybBAqKT0B/MoJLNIbl/dhZgc1zqL+SlGxszwtrNtbW4/N4CIuWW0t5jbW7xw/TEXFxdfe6Y2oM0kuZorMBsrC8JDfEhMy8bGyoKColJsVZYUFJWiqr5fZ6eyJK/w8lD2+YUl2KkssVdZEn/x8nNc+UUlBPvWrQI9qFcIg3qFAFBQWGj0Oa028fyWVG6kQGiFwSwaeYD+npql3VAKSqvHfdTC8RyNkYVCerG29betWpvYz40kYm4Z7S3m9hYv3FjMCnn7aA1qE0muorIKSQJzMxMqKqs4lZDGhEFhhAZ7szf2HGP7h7I39hyhwT4AhHbyZvuh00R09Scx7RLmZqbYqizpGuDJ8m1HKCnTJYK4hDQmD+vdmpvWOFJpdYHQmi79scioMphFI+9Uq+p1byR5ratQpQ1w+YB1tTIsa1N7uiAIws2gTSS5wpJyfli8FQCtVqJPN3+6BXrh6+7E3GU72HPsLI621jw4dSgA3YO8OHE+lde/W4qpiYJ7Jg4EwMrCjPEDw/jot9UATBgU1rZ7VkolKNVHqh++PoRCc8JIgdDOVxQItW/w4h8JlxlU4AYxRqQgCDcXmaY0Wbr2bB1XfZfqzdH0INMW6pOaUn0QheYUMi5nIAk5GkWXKwqE2l5lideOeX1C2x4j8mZr4mktIubm197ihRtvrrS2tm7iiJpem7iS66hk2nx9LTWl+hAKzWlk1C4QqkCtCK31nFpPkKmaNIaaMSIFQRBuRiLJNSGZNkc/PJZSfQilJt7g9bpVr8NF1WtBEIRmJJLcDZBpL+mbHnVVr88bvC5hiloZVmtA4zCQWbRStIIgCDcfkeSuk0ybg13BUINpEuZ1CoQia/2OL+sTtHx+SKKg+ukDG1N4rk/bujcnCILQHESSuw66zhx2fNezCyVae8wsIvB36YNG0b1OgdDWtj5By/t7Jaq0l6cVVsJ70RKgFYlOEIQOTSS5RlqfoNV3y5+6+19AhrmCNjtU1g/HDBNcDbWke010ShEEoSNre7/KbdwPx2o/d6Z73qxco5veFmUaeRi8Ia8JgiB0BCLJNVJ9iaGtJoyrjW4iRj4RBKGjE0mukepLDG01YTwSLsPEyKeslImRTwRB6PhEkmukR8J19+Bqa8tDZY0NkPNqlAzbWp08bUzhtf5t8x6iIAhCUxIdTxpJlxja9lBZVxKjngiCcLMSSe46tKWkUXtsSnfrAh4Kk9p0whUEQWhJIsm1Y7UfZwBIK9by0T4Qz78JgiDoiF/CdszwcQadtvw4gyAIQksTSa4da2+PMwiCILQ0keTasfb2OIMgCEJLE0muHWtvjzMIgiC0NNHxpB278nEGd2u56F0pCIJQS6snudzCEn5fuYvCkjJkyBjYM5gRfbuyaudRdh89i8pS9xTzrcN60yPIC4D1e46zJ+YscpmMGaP70S3QE4CT51NYuPEAWkliQHgnxvYPbbXtaim1H2e4kVL2giAIHVGrJzmFTMb0EX3wcXekvKKKD35dRRd/DwBG9OvK6MjuBvOnXcrnYFwibzw0mYLiUr74eyPvPDoFgH/W7+fpWaOxt7Hkw19XE9rJBw9nu5bepAar/Yxbe3ioXBAEob1p9SRnq7LEVmUJgLmZCW6OtuQXldY7//H4JPp09cdEqcDJToWLg4oLadkAuDiocLZXAdCnqz/H45PabJK78hm3jBL4aJ+o8SYIgtCU2tSvaXZ+EcmZufh7OgGw/dAp3p27gnmrdlNSpitrnVdUir3N5e6Ddior8opKddNVtabb6Ka3VeIZN0EQhObX6ldyNcorq/hpyXZmjOqLhZkpQ3p1ZsLAMJDJWLn9KEs2H+TuSQObZF27jpxh19F4AOZMjMLD1cnofLY2Nk2yPmMyS/LqmX5j623OmJuLiLlliJibX3uLF64/5uLi4iaOpHm0iSSn0Wj5ack2+nYPoGdnXwBsrC30rw/s2YnvFm4BwF5lSV7h5aed84tKsK9u7swrqjW98PL0Kw3qFcKgXiEAFBQWGu2s0dydOFytdE2UxqZf73rbY8cTEXPLEDE3v/YWL9xYzAp5m2oIrFerRylJEvPW7MHN0ZaR/brppxfUamo8dubyvbXQYG8OxiVSpdaQnV9EVm4hfh5O+Ho4kZVbSHZ+EWqNhoNxiYQGe7f05jSYeMZNEASh+bX6ldz5lCz2x57H08We9+auAHSPCxw6mUByZi4ymQxHW2tmj4sCwMPZnt5d/Hj7x+Uo5DJuHxOJvPqMYuaYSL76ZxNarUT/sCA8nO1bbbuupT2W7OlIRM9WQbg5yDSlyTd1T4f6LtVvtqaH1tIaMV/ZsxV0V9EvRTYs0Yn93DLaW8ztLV648eZKa2vrJo6o6YlTV+GmI3q2CsLNQyQ54aYjqjcIws2j1e/JCTfu8v2lPHF/qQGu1rNVEISORfwStnM195cySkDi8sgp6xO0rR1amyV6tgrCzUNcybVzV7u/VDNws2BI9GwVOjLRc9iQSHLtnLi/dH1qV28QhI5CjIlb18251S1gfYKWyUs1RP2pYfJSTbM1H4rq4IIg1BA9h+sSSa4ZtOR9MnF/SRCEGqJlpy6R5JpBS55NjQ2Q81KkDDcrkAFuVg1/qFkQhI5FtOzUJe7JNYOWPpuqub/UHkdcEASh6TwSLjM6ms/N3LIjklwzEM9hCYLQGkTP4bpEkmsG4mxKEITWInoOGxJJrhmIsylBEIS2QSS5ZiLOpgRBEFqfuLQQBEEQOiyR5ARBEIQOSyQ5QRAEocMSSU4QBEHosESSEwRBEDosmaY0+eYduRMoLCxELq+b64tKy1FZmrdCRNdPxNwyRMwto73F3N7ihRuLWavVYmNj08QRNb2b/hGC+j6krxZs45X7J7VwNDdGxNwyRMwto73F3N7ihfYZc2OJ5kpBEAShwxJJThAEQeiwRJKrx6Cewa0dQqOJmFuGiLlltLeY21u80D5jbqybvuOJIAiC0HGJKzlBEAShw7ppe1e+8s0izE1NkMtkyOVyXrl/EiVlFcxdtp2c/GIc7ax5cMpQrCzMkCSJhRsPcOJ8CqYmSu6ZOBAfd8cWjTcjp4Cfl27X/52dX8ykIeGUlley++hZVJZmANw6rDc9grwAWL/nOHtiziKXyZgxuh/dAj2bPc55q3YTey4FlZU5bzw0GeC69uve4+dYuzsGgPEDw4gKDWrRmJdsOcjxs8koFQqc7FTcM2kAluZmZOcX8faPy3F10PXK9fd0Zvb4/gBcTM/mj1W7qVJr6B7oxYzRfZHJmqe8krGYV+082uhj4eT5FBZuPIBWkhgQ3omx/UObJd76Yp67dDuZOQUAlFZUYmlmymsP3tpm9nNuYQm/r9xFYUkZMmQM7BnMiL5d2+wxXV+8bf14bk43bZIDeO7OsVjXekZkfXQsnf3cGds/lPXRx9mwN5apwyM4cT6VrNxC3nl0Kolpl5i/fi8v3TuxRWN1c7TltQdvBXTPp7z01ULCQ3yJjjnLiH5dGR3Z3WD+tEv5HIxL5I2HJlNQXMoXf2/knUenGH0msClFhQUxNKILv6/apZ/W2P1aUlbBml3HePk+XdfmD39dRWgnb6wszFos5i7+Hkwe1huFXM7SrYdYH62LGcDZXqX/LGqbv24fd07oj7+HM9/8u5mT51PpXp1kWiJmoFHHAsA/6/fz9KzR2NtY8uGvqwnt5IOHs12Lxfzg1KH6/1+8+SAWZib6v9vCflbIZEwf0Qcfd0fKK6r44NdVdPH3YO/xc23ymK4v3rZ+PDcn0VxZy/H4JKJ66M6uonoEEXMmST89MjQQmUxGgKcLZeWVFBSVtlqcpy+k42Rvg6Otdb3zHI9Pok9Xf0yUujM3FwcVF9Kymz22Tj5uWFqY1omlMfs1LiGVLv4eWFmYYWVhRhd/D+ISUls05q4BniiqTwj8PZzJK7z6511QVEp5ZSUBni7IZDIiQwOJiU9q0ZjrU9+xcCEtGxcHFc72KpQKBX26+nO8lWKWJInDcYlEdLt6faqW3s+2Kkv9lZi5mQlujrbkF5W22WO6vnjb+vHcnG7aKzkZMr6cvxGZTMagnsEM6hVCYUkZtipLAGysLSgsKQMgv6gUexsr/XvtbKzILyrVz9vSDp1MpE9Xf/3f2w+dYn/seXzdHJk2sg9WFmbkFZUS4Omsn8dOZUVeKyXmxu7XvCunt2LsANExZ4motb+z84t5/+eVmJuZcMuQXnTycdVti8ow5vxWiLmxx4JBzDZWJKZeavGYAc4lZ6KystA3m0Hb28/Z+UUkZ+bi7+nULo7p2vHW1p6O56Zw0ya5/9w9DnsbKwpLyvhy/kbcnGwNXpfJZG2y/Vmt0RBzNpnJw3oDMKRXZyYMDAOZjJXbj7Jk80HunjSwlaOsX1vdr/VZuzsGuVxO3+66Kwxba0s+eGI61pbmXEzP5odFW3nj4cmtG2S19nYs1HbwZCJ9ul3+4W1r+7m8soqflmxnxqi+WJgZXo22xWO6vnjb0/HcVG7a5sqasyobKwvCQ3xITMvGxspC3wxZUFSqH9PNTmVJXmGJ/r35hSXYtdJV3Ilzqfi4OWJjbQHoziLlcjlymYyBPTtxIV3XJGl/ZcxFJdi3UsyN3a9tJfbomLPEnkvh/smD9T9iJkqF/j6ur7sTTvYqsnIKddtSZBhzSx8jjT0W7K+MubB19rNGq+XomYsGVxdtaT9rNFp+WrKNvt0D6NnZF2jbx7SxeKH9Hc9N5aZMchWVVZRXVOn//1RCGp7OdoQGe7M39hwAe2PPERrsA0BoJ2/2HT+PJEkkpGZhbmbaek2VcQkGZ7y17w0eO5Ok7zQQGuzNwbhEqtQasvOLyMotxM/D6crFtYjG7teuAZ7EJaRRUlZBSVkFcQlpdA1o/p6htZ08n8LGfSd47LYRmJpcbvAoKilHq9UCcCmviKzcIpzsVdiqLDE3NSUhNQtJkth3/Lx+O1tKY48FXw8nsnILyc4vQq3RcDAukdBg7xaNGeB0YhpujrYGzXltZT9LksS8NXtwc7RlZL9u+ult9ZiuL972eDw3lZvyYfBLeUX8sHgrAFqtRJ9u/owfGEZxaTlzl+0gt6AYR1trHpx6uVvwvxv2c/J8KqYmCu6ZOBDfVkgYFZVVvPLNYt57bBoW5romiN9W7CQ5MxeZTIajrTWzx0XpE/Da3TFEx5xDIZdx26i+LdIz6udlO4i/mEFxWTk2VhZMGhxOWLBPo/frnmNnWR99HIBxA0LpH9apRWNeHx2LWq3R936r6Vp95PQFVu04hkKua6KaNLinPjFcTMvmj9W7qazS0C3Qk9vH9Gu2ZixjMcdfzGj0sRB7LoVFmw6g1Ur0Dwti/MCwZom3vpgHhAfz+6pdBHg4M7h3Z/28bWU/n0vO5P/mrcPTxZ6aNdw6rDf+Hk5t8piuL96FG/e36eO5Od2USU4QBEG4OdyUzZWCIAjCzUEkOUEQBKHDEklOEARB6LBEkhMEQRA6LJHkBEEQhA5LJDlBaCVnLqbzyPu/U1xa3tqhNJtH3v+dw6cuNMuyM3ML+e8X/1JWXtksy78R2w+d4tsFm1s7DIGbeFivjuz3VbvYd/w8/cM6cffEAQavLd16iI17T9AjyIvHZ45spQibRnTMWRZs2M+XL9xpMP2VbxYxNKJLndH4G7vseav36P+2sbIgyMeVqcN742Snuu7lNoXyiio27o3lyJmL5OQX6wfiHdwrhN5d/ZG3oWeZPn56BpbmumezsvOLeO3bJbx878Qmec50xbbDDOnVWf/M6JmL6Xz+1wbMTU345JmZBg89p2fn8/aPywH4v2dvx9rSnBe+WMDQiM4Gzwau3R3Dyh1HeXDqUHp38dNP/3XFTnILivnP3eMbFNuA8GDW7TnO2aRMOvm43vC2CtdPXMl1UPY2Vhw+lUhFZZV+mkarZd/x8zjUGllCqJ+piZKPn57Bx0/N4P7Jg0nJzOW7hVv0I0S0htLyCj75Yw17Ys4xOrI7L983kf/cPZ6o0CDW7I4ht6C41WIzxtbaEhOlosmXm1tYwrH4JPqH1a3JZmFuWufqcc+xs3WO+xA/N+IvZhhMO3MxA3sbq7rTL2QQ4uve4PhMlAr6dAtg28G4Br9HaB7iSq6D8nKxJ7+olMOnLuhHVog9m4KJUkEnH1dKyioM5o+OOcvGfSfIzivCwdaawb1CGN63q/6qIDOngL/WRpOYeglHW2umj+rLz0u3M3NMP/3yl209xLEzSeQWlqCyMqd3F39uGRKOiVJJeWUVz306n//cPY4ATxcAXv5qIaamSt5+ZCoApxLT+H7RVj57/g6UCgWb959k7/FzXMorwsLMlO6BnkwbGYGluRlnLqbrr7Qeef93ACYMCiP+Yga5BSUs3XKIpVsOAfDDq3MoK6/k3w37iEtIo6yiEjuVJcP6dGFE327UR4buRxp0JUwmDArjtxW7yMorws3RluPxyazedYy0S3nYWlvSp1sAEweHoVToftT3x55n68E4MnIKMFUq6eTjym2j+hoMX1VblVrDz9WjaDx5xyhsrCzqzLN82xGy84t5+5EpBstxdbAxGO7tWuuuuep5bMYIVm4/QkZOAR7O9sweH4Wvu+4qq7i0nH837OdcciYlZRU42akYFdnNYKQOSZLYvP8kO4+cIa+wBGtLc/r1CGRK9QDij7z/u/6q6LVvlwDw4W+rAejk48otQ3ry+d8b+PDJ2/T7umY7Y88l87qROmcAh+IS8XS2x8FIuamo0CCiY87qi5JqNFr2nzjP4J4hrKkuWgoQ7OuuGwlEo0GpUFCl1pCQksX0kX3Yfui0fr7MnAIKiksJ8dMluZoWhPsnD2HxloPkFhQT4OXCXRMG4Gx/+So/LNibL+dvpLJKbXBVKbQssec7sAHhnYiOOav/UdL9fxCX8osM5tt1NJ5VO44yc0w/fN0dScvK56+1e1DI5Qzr0wWtJPHD4m3YWFvw4pwJVKk1LNx0gCqNxmA5piYm3DVxAHYqS9KzC5i/bi8mCjm3DO2FuakJvm6OxF/MIMDThazcQkorKikuq6CguBRba8vq15z1SUImg9tG9cXJzprcghIWbNzPgg37uffWwQR6uXDbqL6s2H6Edx/TJUkzUxOG9+nKe3NX0D+sE4N7h+hjW7HjCKlZeTw2YwQ21hZk5xdRXGqY6K/FVKn7umg0Wk6eT+XXFTuZMbovnXxcyS0oYf66vag1GqaP7AOAWqNl4uCeuDnaUlxazrJth/ll+U7+c/e4Ossuq6jk+0VbkSSJ5+4aW2ekewCtJHEoLpG+3QKMJkoT5eWvc0PXvWTLQWaM6oedypI1u47x7YItvPf4NExNlFSpNfi4OTImqjvmZqacTkzj77V7cbCxorO/BwDLtx9h5+HTTB+p2w/FpeUkZeQa3X8v3TuRj35bzZO3j8LL1R6lQoGVhRnO9ir2xZ5nTFQP/Xbujz3HyKs0N59LytTXTbtSv+4BbNp3gkt5hTjb23D8bDJmJiYE+7oZJLkQXzeq1BoSUy/RyceNxNRLWFuYEdkjkEWbDlBYXIaNtQVnLmZgolTgX6tcUZVGw+pdx7h74gBMTZQs3HiAHxdv5dUHbtEPfeXr7oRGK5GQkqXfX0LLE82VHVifbgFcTM8hM7eQgmJd4caas9va1u6OYeqICHp38cPJTkVosDdj+vdgxxHd2eyphDQycwqYM2kg3m6OBFQnGK3WcES4CYPCCPJ2xclORY8gL8b178HBuET968G+l5uH4i9mEOTlip+Hk8G0YF83/fwj+najs587TnYqgn3dmDq8N4dPXUArSSgVCizMTPRXW7bWlpibmmBlYYZMLsPMzEQ/HSC3oAQfN0f8PZ1xtLUmxNfd4J7LteQVlrBx3wnsVZa4Otqwbs9xRkV2p39YJ5ztbQjxc2fK8N7sOnIGSdLtlwHhnegR5IWzvQp/T2dmjY3kXHKmwWj0AIUl5fp7SU/dMcpoggPdlVVpeWWdslDGNHTd4weG0S3QE08Xe+6eNJAqtZoDJxIAXZP36KjueLs54myvYlCvEHp29uHgSd1nWl5ZxZb9J5kyrDcDwjvh4mBDgJcLQyM614kHwNpSd2/O2sIMW2tL/TiKA8KD2RtzTj9f3PlUikrL6de9/gKquQXF2FkbHyTdysKM0E7e7DmmW2bNyR1X3Kp0cbDB3saKMxd0x9+Zi+l08nXDzNQEHzdH4pNqjst0Ar1cDJpdtVqJGaP7EuTtio+bI/feOojUS/mcvpCun8fURImFmQk5bawJ+WYjruQ6MCsLM8JDfIiOOYulmSnBvm51mneKSsrJKyzh77XR/LNur366ptZ9p4ycAmxVlgZXD37uTnUGaz186gJbD8RxKa+Qiko1WkkySITBvm5sP3QajUZLfFIGwX5uVFapib+YQViwDxfTs5kyvLd+/tMX0lkffZyM7ALKKirRaiXUGi2FxWWNLvsxuFcIPy3dzsWMHLr4exDaydsgoRpTUaXm6U/+QgIqq9T4uDny8PThKBUKkjJyuJB2iY17Y/XzayWJKrWGwmJdQc2k9BxW7zpGSmYuJeUVUL0rcgtLDPbl1/9sxNvNkYenD9NXbzaqEaPMNnTdNU3HAOamJni62JOena/bHq2W9dGxHD51gfyiUtRqDWqNVr/f0i/lo9ZoCbnBq5SoHkGs3H6E8ylZBHq5EB1zlrBgH30JGGOq1Jqr3usbEN6JP1fvYXDvEE4lpjFrXBRZeYV15gvxdePMxXQmohvgul/3QEB3rJ65kE5EV3/iL2YwNKKLwftkMhn+Hpev7BxtrbGztiA9O58utfaHiVJJZZVhi4fQskSS6+D6h3Xi95W7MTdVMmlIzzqv11x1zB4XRYCXS53XGyohNYtflu1gwqBwugX2xcLclOPxSSypvi8GEOjtSpVGw4X0bM5ezGB4n65UVFXx99q9nE/JQi6X68sB5RQU8+2CzQwMD+aWwT2xsjAjKSOHX5bvRK1p/I9G9yAvPnhiOifOp3L6QhrfLthMry5+3HOVoqKmJkp985ONlTlmpib61yRJYuKgcHoZuRq0tjKnorKKr/7dSGc/D+69dRAqS3OKyyr4v3nr6sTfo5M3h09dIC0rD283401wNcu1NDclI7vgqtvamHVfzaZ9J9m8/yQzRvfD09kOM1MTlm8/QlF1FeymorIyJ7STN9HHzuLqoGtefGzGiKu+x8rSnJKrPDrQ2d8DmUzG7yt3EeLrjr2NldEkF+zrxvx1eykpqyAx9RJ3TdD1Ru7k48bCTftJz86nsKSczn5GOp00oBNraXkFKqv6k7XQ/ERzZQfX2c8dpUJOcVkFYUbqQdlYW2BrbcmlvCJcHGzq/ANwc7SloKiU/Fr1yi6mZ+sTJMD55Czsqjtn+Hk44epgQ26BYdNYzX253UfjKauswsfNgQBPZ/IKSzhwIsHgftzF9GzUGi23jepDgJcLro62FBQb/rgqFQq0Ut3LG6VCgaStO93a0pzIHoHMmTSIuyYOYN/xc1Sp6//Rl6Fr0nK2VxkkOABvN0cycgqM7jOFXE5GTgHFpRVMHtaLTj5uuDnZUVRi/Hm4W4b0ZFDPEL6Yv5HkjJx645HLZER09efAyYQ6zY4AVWo1VWp1o9admHpJ//8VlVWkXcrHzckO0JVtCe3kTWSPQH2TZVbO5QTr7mSHUiHnTGJavTHXVvPZGvvMBvYM5vCpC+w6Go+NlcU172F5uzqQUX3FaYxcJiMqNIj4ixn0D6+/pE2InztqjZbN+0+isjTXH/OB3i5cyiviwIkEzEyVdR55kCSJC2nZ+r9zC4rJLy7DzdFOP+1SXiFVas1VT1yE5ieu5Do4mUzG6w/eioRUb/POpMHhLNi4HwtzU7oHeaHRaEnOyCG/qJSxA0LpEuCBq6Mtv6/axfQRfahUq1m0+SDy6hpUAK4OtuQXlbL/xHkCPF2IS0jlYFxCnXUF+7qxaf9JugV46qpYV1+97T9xnomDwvXzudjbIEkSWw7E0bOzL4mpl9hywLA7tqOdNVVqDXEJafi4OWBqosTURImjrTXnkjPpWxigr3y8csdRfNwccHe2R6vVcvT0RZzsVdfdvX3CwDC+XbgZB1trenfxQyGXkXopnwtp2UwbEYGDjTVKhZzth04zpHdnMrLzWbnjaL3LmzysFyDxxfyNPDt7DF6uDkbnu3VoL+IvZvDRb2u4dWhP/DycUCoUJKReYkN0LI/PHNGoda/dE4O1pTl2KgvW7IpBoZDTt7qXpqujLYfiEjmXnIm1hRnbDp0mu6AYb3NdbOZmJgzv25Xl24+grO61W1xaQVJGDkN6170vp7Iyx0SpIC4hFUdba0yUCv0zbl38PbCyMGPNrmOMiepxzWf9ugV48sfq3Wi02nqbeMcPDGNYny5YVt/7M8bR1honO2u2HTxlUDC25oRs28FTBHm71lmHXC5j4cYDzBzdFxOlgkWbD+LhbEcX/8tXfGeTMnGyU+FanTiF1iGS3E3A3Mzkqq8P7BmMmamSjXtPsHzbYUxNlLg72ek7EMhlMh6ZPow/10Tz0W+rcbS1ZtrIPvy4eJs+SYQGezMqqjuLNh2gqkpDlwAPJg3uyT/r9xmsK9jXjQ17T9Cp1v2wYF83ziZlGtwj83J1YMbovmyIPsHKHUcJ8HJh2ogIfl62Qz9PoJcLg3uF8MvyHZSUVTBhUBiTBvdk0pBw/l67l9e/W4Jao+WHV+egVMhZsf0o2flF+p5y12oSu5pugZ48MXMka3fHsGnfCRRyOS4ONvqOPSorc+bcMojl246w/dApPF0cmD6yD1//u6neZU4e1hsJ+PzvDfUmOisLM16cM4ENe0+wYW8sOfnFWJiZ4uZky/iBoTjYWiOXyRq87inDerNky0Eycwpwd7Lj8Rkj9Vet4waEkp1fxNf/bsJUqSQyNIi+3QL09+xqYrY0N2Xt7hjyCkuxsTKnX4+6nZsAFHI5M0f3Y83uGFbviiHI24Xn79L19pTJZPQPC2L1zmNEGXn27UrdgzwxVSqIO59Kj07Gq5krFPKr3terEezrTnTMWYJ93K6Y7kZiWrb+0YHaTBQKxg0I5beVu8grLMHf05mHpw0zuE99KC6RgT2br9iv0DCiaKpwXVIyc3nv55W8fN9E/XNVQvtR85xczegfbcH8dXvJyivkmVljGjT/zsOnOXz6Is/Obtj8TaW+kXZqS83K44v5G3jnkan6q1WhdYgrOaFBjp6+iJmpEhcHG3Lyi1m8+SBeLvb4iPsNwg0qK68kPTuffbHneXDKkAa/b2DPYErKKykrr2xziaSguJQ5kwa1ubhuRiLJCQ1SUVnFsm2HySsswdJc9zjCbSP71nmMQBAa67tFW7iQlq17tq+epkdj5HI54waENmNk169rgGdrhyBUE82VgiAIQoclHiEQBEEQOiyR5ARBEIQOSyQ5QRAEocMSSU4QBEHosESSEwRBEDoskeQEQRCEDkskOUEQBKHDEklOEARB6LBEkhMEQRA6LJHkBEEQhA5LJDlBEAShwxJJThAEQeiwRJITBEEQOiyR5ARBEIQOSyS5m9DuvcfYsGXfNef76ocFpKRltUBExs37Zw0nTp1vtfW3JWs27GHfwVijr504dZ55/6y5ruW++8kvNxKWcIOSkjOY+8dyAPILivjg09+Nzhd78hwLl21u8vXPX7SemNh4oOG/C+2NKJoKXEhKZ/P2A+TkFqBQyHF3dWTKxGFYWpq3dmj1+mP+agqLSnjioRlXLVyaX1DEdz8v4ZXn5+inDYwKb/4Aa4k7k8jOPUcoKCjBxFSJh5szM6eObNaCqyvW7uTkqfPI5XKUCgXeXq6MG9UfG5VVs62zOU0YM6DF1znvnzWkpF1CIZcjk8twcbKnZ2gwYT2CG/z+XuGd6d4lsNHrVqs1bNq2n9PxF6isVGNtbUm/iK5E9Oza6GW1JI1Gwydf/slDc6bg6GALwIYtezl+4hz/eepO/TH/29+r6NkjhPDQYB68Z/I1l9ujWxA9ugU1Z+gt/rvQUm76JFdeUcmi5Zu5dfwQOgV6U1lZxdmE5CZfj1arRS5vmgvngsJiUtKyMFEqSUnNwtvLtd51trac3ALWbtjD7dNG4enhQll5BWfiLzbrOmu2e8iAXgyIDKOsvILFy7ewaet+pt06vFnXXZsk6eoRt+fq6beMH0T3LoGUV1RyPjGFDVv2kZ1bwIghfZp1vbv3xZCXX8TD907FwsKM7Jx88vKLmnQdTfmdrKFQKHB3cyIlNVOf5JJTsrC0tOBSdh4uzg6o1RrSM3K4ZZzx763QtG76JJebW4CJUklwkA8AZmamBmeeZWUVrNm4hwsX07CwMGPooN506xwA1D1TXbNhD9ZWFgwZ2Isdu4+Qm1dIZVUViRfTmHXbGFTWVqzfHE1q2iUUCjkDIsPo27sbWq2WHXuOEnvyLGqNltBuQQwfHFHvF/BE3Hl8vd2xsbEiNu6cQZJ795NfGDsyir0HYnF0sKGgsASNRsNHn/8BwJMPzeDQ0VMUl5Tprw5Onkpg196jFBSUYGtrzfRbh+PkaGewzqoqNZu27efM2STkchn9IroR2afHNfdvZlYuTo52eHnqYrS0MKdnWIj+9fyCItZs2ENq+iVsbawZM7wffr4edZaTkprJ+s37yMkrwMLcjAGRYfQO7wxgdF/XZmFuRudgPw4fOwXAhYtpbNi6n4LCYjzdnZkwZgB2tiq27jyEXCZj6KDe5OQW8N3Pi5kxZSQhnXyJjTvPqTOJzJgy8qr7YsXanZibmZCZlUtq+iUef/A2g6vHw8dOs3PPUWQy6N8vlA1b9vH6C/frP7tnH7sDa2tLAL77eTHjRw/Az8edFWt34uRgy4DIMLRaLRu27OPEqfOorK0I6eRrsL0XLqaxadsB8gqKcHd1ZNK4QdjZqq75WV2NuZkp3ToHoFDIWbJiG5F9umNlacHO6KMcjTlDeUUlrs4OTBgzAGcne3bvPUZSSiYpaZdYvX43Qwf2ol9EdxYt30JyaiZarZZAPy/GjxmAuZlpnfWlZ1yiS7CfvjXF2ckeZyd7/esnTyewfddhysoq8PP1YMLoAVhYmHEhKZ21G/fw2APTASguLuXz7/4x2Me1vx+zZ4zjwOGTHDwcR3FJGU6Ottxx2xgsLczJyMph/ea9XLqUh4O9DRPGDMTN1fGa+8rb05WklEzCegRTWVlFWXkF3bsGkJySiYuzA+kZ2ZibmeDoYFsn3tr27I/h1JkLzJ4xlvizFzl5OoFZt43Vvyc4yIcjx05jY2PFpHGD8XR3BnTfqbUbo0lNz8LaypKxI6Pwr/5O5eQWsHzNDrKz8+kc7ItWK+nXt2P3Ef3vQmlZOctWbSc9IxuZXEbXEH9GD49EoWh/d7hu+iTn4GBLlVrN2o176BLij6e7M6amJvrX122KxsREyTOP3U5GVi7zF67HxdkB5yuSgDGnz17g9mmjmTFlJBqNlrl/LKdblwBumzwCjUZLbl4hAHsPxpKalsUD90xGJpPx75KNxMSeNUgGtcXGnadv767YqKxZsWYHY0dGGSTExItpPHzvFORyOSWlZXz38xJeevYeo8tKTslk/Za9zJwyEk8PF3JyCzAz8qOzadt+KiurePzB6ZRXVPLnv2txcXYgwM+TpJQM1m2K5uF7p9Z5n5urI+mZ2WzdeYhOAd54uDuhUCj0ry9dtQ1/X09unzaK84mpLFy+hSceug1LC8OmYrlczoQxA3BzdSQ1/RJ/L1iPj5er/ofvyn199Hi8/r2lZeWcjr+Aq4sjpaXlLFy+hSkThxDg58mOPUdZtmo79945CW9PV/19r+SUTOxsrUlOzSSkky/JKRn4VJ9MXG1fAJw4lcCs28bg4uRA7Yu4zEu5bN1xkLtuH4+DvQ3LVm83+plcy6Gjp0hJy+KxB6ZTWVnFXwvWYWtjDeh+4Jas3MaMKSPx9HBm/6GTLF+9gzmzJ17Xuq4UHOiDJEmkpWfTKdAbZ0c7HrjnVszNzNi26xCr1u3ivrtuYWBUOAkXUg1OAiVJonOwH1MmDkWt0bB4+Rb27IsxelXo6e7Cnv0xIAMfLzf9VRHApew81m7Yw6wZY3FxsmfNht2s2xzN1EnDGrQNtb8fsSfPcfBwHDOmjsTJ0Y6MzBwUcjkVFZX8s2gj40ZHERzow6n4CyxavoXHHpiOQiFn7cY92NpYMyAyrM7yvT1d2bz9AACp6ZfwcHfC29OVE3Hn6d2zC8mpmfqTvvrsij7K2fPJ3DlznNGTgNy8QkxNTHj+ydkcP3GOxdXfm5rfj97hXbh92ihSUrP0cVtYmLFs1XaCg3yYM2sCx0+cY83GPfToWrc5WZIk+vTqSoCfJ6Vl5cxftIFjx8/Qu2eXBu3jtqT9peUmZm5myj13TKCysoplq7fz6Td/s25TNBqNFq1Wy6n4RIYN6o1SqcTLw4XOIX6cOp3YoGX7+bjj7+uBTCYjPSObqio1g6LCUSqVmJmZ4u7mBMCx42cZNjgCSwtzLMzN6BfRnVPxxteRmZVLTm4+nYP9CPDzQJIkziemGMwzMDIMMzNTTEyufQ4TcyKe3uFd8PJ0RSaT4eRoh6r6SqKGJEnEnDjLqGH9MDU1wUZlRa+wzpw6cwHQ/QgZS3AADvY23DljHNk5+fy7dCOffv03O3YfAXTNrlmX8hjcPxyFQkFwkA/uro6cPV+3udjD3Rl3NydkMhleHi74+3mQknq5U0ztfa1U6pLozuijfPLln/z46zIsLc0ZPawfZxOS8XBzolOgDwqFgsH9w8nIyqGgsBhvTxfS0rPRaLQkpWYQ1bcHSSkZACSnZuLt5XbNfQHQNcQfd1cnFAq5wcnH6TMX6BLij5urI6amJvTvF3rNz8eY0/EXiOzTAytLC+ztbAivdY/sxKkEuoT44e3lilwuJ7JPdzIv5VJcXHpd67qSXC7H0tKc8vIKALqE+GNlaYFCIWdgVDhpGdloNBqj75XJZIR2C8LERImFuRl9e3cjOSXT6LwDo8Lo06srR2LO8MOvS/ju58Ukp+rmPXXmAp2D/fB0d8bERMmwwRGcOnOhwc3ztb8fMSfOMiAqDGcne2QyGe5uTpiZmXL2fDJurg507uSHXC6nW+cATEwUpGdmAzB+9ACjCQ7A28uV3LxCSkvLdceNpyteHi76TlzJqZn6EyZjtu8+wrnEFGbPGGs0wQEolQoGRIaiUCjoGRaCQiEnJS2LtPRLSBL06dUVuVyOj7cbnu7OnL+QQn5BEdm5+Qbvs7O1Nrp8K0sLgoN8UCoV2Kis6BkaTFKq8c+qrbvpr+QAXJwdmDxxKADpGdksXrEVZ6fTdO7khyRh8KNva2NNcUnDfjBqN1MVFpVgZ2tt9P5MYVExfy9YR81pvyRJONjZGF1mbNw5/H099Vc6NU1pnQJ99POoGtG5orCoFO9rnFWWlpajVmv49ufF+mmSVsLfr26zojHeXq54e7kiSRIXktJZvGILHu7OWFiYYWVpbnBlV9/+zcrOY+OWfWRm5aLRaKhSa/D0cNa/bqxDyeD+Pev8EBUXlxrMq1QqsbayoLi4FFsPF+zsrEnPzCYlNYsxwyPZeyCWouJS8vOLcXd1bNC+qG//F5eUGaz7ypOJhtIt5/J7bWwu/1AVFhYTc+IsJ04l6KdptVqKikv1zaA3QqvVUlpajrm5GQBHYk6z/9BJiopKQCZDkiTKyiuxtrIw+t5N2w5w5uwFysorkSSp3o5AcrmcfhHd6RfRnYqKSvbsP86i5Vt49rE7KCouxcbm8vtsVFZIkkRpWUWDtkFV53tZtym3sKiExItpfPLln/ppGo2GogacLFiYm+HoYEtyaiYpqZkMHdgbc3MzlEoFhUUlpKRm1dvJQ6vVcvDISSaNG2S0RaWG7sTi8vfGRmVNcXEZyCA3r8Agbq1Wi5+vB8UlZUbfZ0xFRSXrNu/lwsU0Kiqr0Gq1+Hq7X3Pb2yKR5K7g7uZE52BfLmXn0yvMHJkM3Zeq+otRWFiibxoyMVGiVl8+ay0pLbviy305odnYWFFQWIwkSXUSnY21FdMnj8DVxeGqsUmSxMlTCZSVV/DZt/MB3b0ySZKorKzSN7M2ppuDjcqK/ILiq85jaWmOUqngqUdm1ntm2RAymQx/Xw/8fDzIzsmna2d/SkrL0Wg0+i9eQWExvj51v0zrN+3F18eNmVNHYWKi1HWnlgyW3qAYrK0tSbyYpv9brdZQXFKmTwDenq6cjr+ASfXVtoe7M/sPncDD3Ul/FXOtfVFfJNZWFhQVl+j/vvIH08RESVX18SRJEqWl5fUup7Do8nsLCy9/fiqVFb3DOzN6eGT9O+EGnD2fjEwmw8PdifyCIjZtPcDdd4zHzdWRisoq/vflnyDVfDCGeyI27jxJKRncO3sSKpUVZ85eZMuOg9dcp5mZKQMjw9izL4aysgpU1pYU1NrmwqISZDIZlhZmmJooUavV+tdKjOzD2lHZ2lhRUFAEGB5zKmtLggK8mTFl5DXjM8bHy5XklEwys/L09/G8PFw5FhtPlVqNez339uRyOXdMH8PCZZtRWVni6eFidL6S0jI0Gq3+HllhUTHWVhbI5XJcnBx4cM7kOu/JLygy+j5j9h06QXlZBQ/dOwVLC3P2HzpRp8Wovbjpmyuzc/LZd/CE7kwU3Y3Z+HPJeLg7I5fL6dzJj+27D6NWq0lNv8Sp+At0CfEDdFeAp89cQKPRkJyaScKF1HrX4+nujFKpZM++GNRqDRUVlaRn6Jo+wkKD2bbrEMUlZUiSRF5+IUnJGXWWkZScQXl5JQ/fO5WH7pnMQ/dM5vEHpmNpYc6Zs8Z7LFpamKPRaOptrgrr3onDx06RmpaFJElk5+TX+fGtaWbavG0/5RW6M/BL2Xn6+K8mKSWDY8fj9T/Y6RnZJKVk4OHmhK2NNS5O9uzaG4NGo+Xs+WTSM7LpFOBdZzmVlVVYVJ8NX7iYdtV9fTVBAV6kZWRzLiEFjUbLrr1HcXVx0J+4eHu5cfjYaX1nHp+av6uvdm9kX4QE+xJ3JpHMrFwqK6vYe8DwuTcXJ3tOnk5Aq9Vy4PBJyisqjS6nc7Af+w+eoLS0nLz8Io7FntW/1r1LIHGnE0lOyUSSJCoqKjkVf+F6dpWB8opK4s4ksnZjNP16d8PK0oLKyipkMt1JkEajZWd1M3QNK0tzCmqdQFVWVqFUKjA3N6OkpIx9B0/Uu779h06QlJKBWq1Go9Fw8EgcdrbWWFqa0znEj9PxF0hLv4RarWb77iN0DvZFLpfjYG9DSWk5ySmZVFWpid5//KrbFdo9mN37jpOdk48kSaRnZFNRUUmnIB/SM7KJP5eEVqulqkrN2fNJVFZWNWh/eXm6EnPyLI4Otvoma29PFw4eicOz+rel3vd6uDB5whAWLttM5qVco/Oo1Rqi9+u+N8di41GrNXh5uuDp4YxGq+VIzGk0Gi1qtYaLSekUVV+xOtrbGryvvhPcysoqlCZKzM1Mycsv4kjMmQZtd1t001/JmZqakJyaSfSB41RWVmFlaUFY906EVj+TMm5Uf9Zs3MPn3/2Dpbk540f113d26BfRnSUrtvJ/X/2Nv58Hna/o5VabXC7n9mmjWLcpmr0HYlEqFQyMCsfdzYn+fXuwe6+W3/5aRWlZOXa2KgZG1W3vj407T7cu/tjbGTav9AwL4cSp80afozE1NSGqbw9++G0pWq3E41f04vL2cmXU8EhWrN1JUVEpdnbWTLtleJ2mtNHDI9m68xA//rqUisoqHB1sGTE4AtAl3zUb9/Do/dPqrN/czJRT8Yls3nEAjVqLSmXJ0AG99FdrUyYNY82G3Xz6zd/Y2lhx25SRRp9PHDG0D2s27GbbzsMEBngSZCQRNoSVpQW3TR7Bxq37KCgswcPNiSkTL3dY8PFypbKyyiDJ1f77WvviSms27MHWxoqBUeG4uTgybFAE8xetRyaTEdmnO+dqPa4yeng/VqzZyd79x+nTuxsO9sabrHuHd+FSdj7fzl2ESmVF966BJFffO7S3UzFl4lA2bdtPdm4BpiZKAv296BLsd137a+XaXaxevxu5TIazsz1DB/XS3wN0cXagZ2gIP/66FFNTEwYP6Gnw3oheXVi5dhd79h9nyICehPcI5uz5pOrP2prQbkHEnDhrbLUolUrWb95LXn4RCrkcN1dHbqu+qnJxsmfcqP4sW7Wd0vJy/Hx0vSsBzM3NGD2sHwuXbdZ9xyLDrjqgQI+ugZSWlvHP4o2Ulpbj7GTHHdPHYGFhxu3TRrNx6z5WrN2BQqHA29NV32RX+3M1xsfLldLScrxCL1+JeXnqpl3r9gBAgJ8nY0dG8c+iDdx9x4Q6rzvY21BRUcWnX/+FSqVrCappDbl92ig2bNnH1p2HkKG76p4wZiAAUyYNZcWaHUTvj6VzsC9+RlpNAPr27saSlVv55Ms/cXK0I6STLxmZ1z6Ra4tkmtJk6dqzCYLQ1C4mp7Ny7U6efHhmq8Xw7ie/6LvXC+3D1R47EOq66ZsrBaElnT2fhFqtobSsnJ17juqfzxQEoXnc9M2VgtCSTpxKYNmq7cjlcgL8PRkyoFerxjO4f89rzyQI7ZhorhQEQRA6LNFcKQiCIHRYIsk1o+9/WUJa+qXWDqPdqV1+pKV99PkflJSUtcq6a2uufSBJEnN/X05hUclV57uQlM6i5VuafP2C0NJEcyW6umklpWW6IaEUCtxcHenTq2udgW/bopqSMgq5AmTgaG9L964B9O3drUEjrNce+LexLiSl8+e/a/XDh1lZmuPn48Gg/uE3PCBwc2jPn3NTOXkqgbMJyUyeMOSa8/78xwpuGT8IF+e6gxRk5+SzedsBUtKzkMlkBPp5MnZUf/0D8lVValat20X8+SSsLC0YMyJS38kmJjae/YdPkpdXhJWVOf37hdIrTDfYtlarZcnKbaSmZVFUXGowYLUgXA/R8aTaXbePx8vDhZLSMk7HX2T5mh2MHNKnXQxIWlNSprKyiuTUTNZv2ktq+iWm3dL8ZWUcHWx57IHpaLVa8vKL2LnnKL/MW8kD99yqf8C6LWnPn3NTOBZ7hr69uzdo3q6d/TkWG2909JSKyiq6dPZn8qShyGUyVq3bxeZt+5k4dhAA23Ydokqt5rnHZ5GSlsXiFVt57IHpWFtZoNZoGT96AB5uTmTnFvDXv2txcrTDx8sN0D1jFtW3B7/9tarpNly4aYkkdwUrSwt6h3dGrVazbfdheoaFIJfL6y27IUkS6zZFE3cmEUkr4eRox913TEChkPPVDwuYesswvDxcKC4pY/nq7aSmX8LXyw0zc1Mc7Gz0ZXny8gupqKziwsV03N0cmXbLcKyMjP93NaamJgT6ezH1lmH8PG8FAyJzcHNx5EjMafbuj6W4pAx7exVjR0bh4+VG7MlznIg7h0wmY9feY/QMDWHMiEjWbtzDmbMXqVL/f3vn/hTVdQfwz959sSwLKALyhiyggihC0PhAqK9EpTHG1NikNknTJtPMZCad/tLpX9CZdNpJMm2aaWrGsTHRMb6faAgEUDC+I1EEUVCe8hDYZV8s2x8WrrvZXVjUJI05n9/2de+dc+6c7z3fPef7cZIYH0PJU0smlI1KkkTU1AieKSniw637qP3qMquWuwfH02fr5AoeM9JTeGrFQtRqFd09dzlwpJKu7j40ahXz87NZ/MRcn31A9Q3NlJbVYLM7WLpoHifKv+KN324gMsLAu//aMVrI9ypDFisF87IoLsy/73721N14HttstlBcmE9CXDT7j1RiMg9RuDBXVuxMrN/R0NHZQ0dXD2kp8awvKZ5UGwTSA41JcVctW0BF9TmUksTqlYv8zk6Hh5203O7kuXXL5ffsdgcnyk9zrbEFh2OYDGOSXMc1OTGWA0er/LZfQly0rHYBd0GC0rJa+fXlK008/+xKNBo1j6UmkBgfTX1DM/m5M2VFErg3dqelJNDadofkxOlyzUqB4GEhglwAMtNTKC2rpae3n3CDPqB240ZzG20d3bz52kbUahVtHd34c2QeOX6SKZEGNm1Yxa3WTj7ZVcpijyr09Q0tvPCLJ3lu3TJ27jlBzZnLsoLkg492s3rlIvlJdyLipk8jIlzP7dZOpsdEYQgL5VebVmMIC+XshavsOVDOm69vJCc7nabmNp90ZVLidJYXFSBJEgePVnH8i9qgZ4UKhYKM9GSuj1byqLvSxPlL19i8aQ2huhD2HqqgquYCPyt8nIrqc27tx4sl2O0OWT3kidlsYe+hCjauX0FSQiylZTU+Ve4bm27xm81PMzRk5d9b9zI7y+jjwwuEZz97+so8j/3qr9fR09vP1u0HyTAm8/ILJQyYzGzZtp852RmEhoZMqN+5Un+DFzc+RbhBz9ZPDnGprpH83JlBtcF4eiBwFw6+e3eQt36/ibqrTRwuPek3yPX2uTVKnoV/S8tqMJmtvPbKerQaDa3t98wOUVGRdPfcDUouequ1k+hpkYDbwWg2W4jxaM+YaVPp7unz+d3IyAit7V3fufVa8NNFLDwJgCHMPYuyWu3jajeUSkkenMY0MN8eEEZGRqhvaGbponmoVErSUuJJSfIu7ZOWGk9SYixKpZJZmWl0edSse/2VZ4MOcGOE6UOxWN21DzOMyUSEhyFJEgV5WdgdjnGLMudkGWUVycIFOQF1KIEw6HVYR8994etrLFk4l4jwMNRqFYsXzJG1NEpJon/AhHnI6qUe8qSx6RaJ8dGkpcSjUikp9FNGaX5+tlz5PS42iq47voNpwGv16Gd/zM/PJkSrISEumjC9jqyZaeh0WmKjpxIZYZBrHk6o35mZRvS0KWi1GjKNyXL/BtMG4+mBxigc1RXNnmXEPGTBPOS7eMZmc6Dx0C+5XC4u1V3nyeVPEKoLQamUvO4z7WjBb5tt/HqN7R3dfHX2GwpH99zZHQ4UCoWX6kmjVWO3D/v8tuzLM4Qb9BjTEsY9h0Bwv4iZXAAGTe5BIiREw63WwNqNWZmpzJszg32HK7BY7OTNnUHREu8NvmPFiQ1emhXv9J8+9F5qUqVW4nD4DgiTwWQeQhfifmK/2nCTyuoL9PUPAm6NhsVihQC1EStPnufi5Qa5gnuwnq4xBs0WQkbPPTBo5uCRKg4dq3Z/6HLJDwHLiwrkGpCRkQZWFBX4GAhMZotXu4WFhfpYHDzTumq1CocjuCK64N3P/vA8tkql8uontUqF3TEclH7H63dqFf2jqxuDaoNx9EB6vVudMjY7kyS3w87f/aPVqrE7vCv0O53OgE4x22gxYq1W7fdzgL67A+zYfZyS1UvkmZtGrcblcuFwDMuBzm5zoNF4Dzdnzn9DfUMLr7xY4ldBJRA8DESQC8C1xmZ0OvfsoKOzZ1ztxsL5OSycn0Nv3wDbPj1MUmKsnKYC5ILDg6YhufDxoMn8nS3MaO/spn/ATGJCLMPDTvYcKOf5Z1eSmhyHJEm8/c42/MtQoLmlnXMX69m8aQ1TIg103ully7bgFwC4XC4arreQMjojMISFsmzp437TZwaDnnVri3C5XFz4+hp7Dpbz1hu/9PpOmF7HzZZ2+bXJNITL9fAWBHv28/3yICqioNpgHD3QZNpi6pQIrFY7NpsdrVYju/z6B0x+V8P29PYzLSoyYKrSZBpi+85jLF00j5kZqfL7Op0WvV7Hne4+4kf/t+vq7vO6B+quNlFdc4mXXljrtyC3QPCwEOnKbzFksXL+Yj0VVecoWpyHJEnjajfa2u/Q3tHNyMgIWo0aSVL4PJVKkkRmejKVJ8/jdDq52dxGyyRTgMFgtztoutnK7v3lzJqRyvSYKJxOJ07niCxZPVl7SX5CB/cA7Zm6tNkdKJUSOp0Wu91B9amLQZ17ZGSE3r4B9h3+kv4BEwsK3IsHcnMyqaq5SN9d9yxycNAse6mu1N/AZBpCoVCg1Wj8Ps0bH0vidlsXN5vbcDqdVNUEdz0T4a+f75cH0e8E0wYT6YGCRaVSuj1no4bnsesuLavFYrHhdI54paZbbnVgTPWfRrTa7GzfdYyc7HTyPBaSjDF71mNUnrog35O327rkIHf9xm2OnjjFpg2r/AbX4WGn7IQbdjq9/HACwWQRM7lRtn16GIVCgVIpMT0miqfXLGXmqJ4kRKsJqN2w2R0c+/wUd/tNaDRqcnMySUvxNWavXrmIvQfL+eu7H5OcFEumMRmlSunzPX+8/5/PWLtqMclJ/v+Xq6g+R9Wpi7hwETU1gry5M5ifnw24hZMrigv4744jKBQKCvKyvFJfc3My+Wzf57z9zjbm5mSwong+dVdiePf9HYSGhrDg8WzqG1sCXltPbz9/+ftWwO2uS02J49XN97YPzM4yYrXZ+WTXMXkmW5CXhTENWtvucPTEKWx2B1Miw3l6zVKf44fpdaxbs5T9RyqxOxwULsxFkhReduPJMF4/PwiT0e94EkwbTKQHmgy5czK5fKVJVhWtWraA41+c5v0tn+F0Osk0JstaoW/qb/Dz1YV+j1Pf0ExnVy+9fQOcPH3P2fanP7wEQPGSfA4creRv/9iOPjSEZ9YWyULh6ppLWK02Pvr4XoYgJyudtU+6dTn//HCX/H/jex/sBBCmBMF9IzaD/0Bs+/Qwc2ZnMHd2xg99KT8q+gdMvPfBTv78x5cfaPb1U8XlcvHh1n08v2HluNtCmlvaqT1bd99mbIHg/wUxk/ue6OruQ1IoiJoaQX1jM7fbuuT9SILxuX7jtiyaLPvyDBnGJBHg7hOFQsHvXn5mwu+lJMf5LIARCH6MiCD3PWGz2tlzsBzzkIWI8DDWlxT72LcF/rnZ0s7u/V/gApISYmTLsUAgEEyESFcKBAKB4JFF5HwEAoFA8MgigpxAIBAIHllEkBMIBALBI4sIcgKBQCB4ZBFBTiAQCASPLCLICQQCgeCR5X9ckNEJwqi0AAAAAABJRU5ErkJggg==\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# plot relationship between peak capacity and acreage\n",
    "\n",
    "x = df[\"MWp (Megawatts Peak Capacity)\"]\n",
    "y = df[\"Acres\"]\n",
    "# use a Solarize Light stylesheet from matplotlib\n",
    "with plt.style.context('Solarize_Light2'):\n",
    "    # use a scatter plot\n",
    "    plt.scatter(x, y)\n",
    "    plt.title('Does more acreage mean a higher peak capacity?\\nTop 20 Solar Plants shown 2016-2020', pad=20)\n",
    "    plt.xlabel('Megawatts Peak Capacity (MWp)', fontsize=14)\n",
    "    plt.ylabel('Acres', fontsize=14)\n",
    "    # add a trend line using numpy\n",
    "    z = np.polyfit(x, y, 1)\n",
    "    p = np.poly1d(z)\n",
    "    plt.plot(x,p(x), color=\"gold\") # color the trend line gold #\"y--\") # color the trend line yellow\n",
    "    # add a source footer\n",
    "    plt.annotate(\"Source Article: SolarPower.guide | Data Source: Wikipedia\\nDesign: Data Design Dimension (c) 2021\", (0,0), (0, -50), xycoords='axes fraction', textcoords='offset points', va='top', color=\"gray\", size=11.5)\n",
    "        \n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Among the Top Plants Limited to 2020\n",
    "\n",
    "The top plants have been measured by peak wattage ranging in years from 2016 to 2020, as we have seen in our data table above. Graphing only the most recent year available, 2020, only four plants among the same top 20 were appear as recorded with these highs in 2020. \n",
    "\n",
    "Although the trend appears to be reversed towards less acreage and lower wattage, the number of plants are not sufficient to make any conclusions from within this single year. If a full dataset of 2020 recordings was available, more could be seen about how acreage and peak capacity related to one another in that year."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 114,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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x4vMNX4D2cNe+aQL8ffn9p8+RJImoU9F88/1vPPnsq/j5ejNm1JAGH3sj7O1tkclkunjryszMrvfFVluDrcvQ59aQf5auYdiQ/vzvgzd0ZQmJ+l157e3tkMvlpKZnNPVUbji+f5au4b57pvHqS8/o7isuKdXb1t1d+8WVlZ2jV65Wq8m5nHtdxzU2Rwc7AH758VM6tg+pd3/t9bjIQ8e4lJTC7m3L6d+3l+7+6u9/M1os5eXlrFm3hTdffY6nn3hQV3767HmjHaMhtddosrJz8Le+UuvNzGq+W3djrvX1bOi92Ji8vAKqqqr0El1mlvY95llTKzHm+7iWg70dC3/5konT5nLv3Cf589evmry+CuDkaM/Zs013ODLkc11XZlY2Af6+dW7rP/d/lq0hKNCPX3/8TLdNVVUVubn5V8XmoEuMxuDoaM+MaeP58Zc/GTliEDt3H+DHbz9qcFtfHy+8vTyuaf+tLsktX7WBteu38vQTD+iazQb1782yFevYH3mEfhFXBlYuXrIKFxcnOtR8yYwaOYiDh47TsUOIQVVZmUxGeJeOfPLhG/zy+9+cjb7QIknO2tqK7l07s2zlet587XkUCgUAl5JSOHDwGE8+NrfZfVzrc6urtLRM96Vb67eF+j3frKws6d+3J38tXsHrLz9zzccwNL7SsnJMTfXfdlf3wvPydMfL051lK9Yz7/5ZuvJVazfX6wF7I+flRvTt0wOl0oa4uETmzJ7R6Ha1PYRNTa58sebl5bNm3RajxVJRUYlara5XS1nYQA9OY+rVIxyZTMayFev5vzpJYdmK9de9z5Z8PdVqNctXbeCuGZN0Zf8sW4OPtyeenm7XdHxD3sd1DR4YwfpVCxk/ZQ73zHmSRb9/3WSiGzFsIP8sXcPa9VuZMG5EwzEY8Lmua+nydfz7X0/obv+zdA02Nta6JvHS0rJ6Mf2xaDlqtVo/tuEDWbl6I+npmbgb+COytkWirKy8wfsfe/h++g2exMOP/x+2tiq916iurRv+Nuh4dd3SJHfyVDQ5l/OorKwkKTmN9Ru3sWzFeoYPG8D7b7+k227OfTP58ttfmH73w7zz5ot4ebqx6J9VbNu+l++++kCXNN56/V/0GTCBwSOm8/ijc/Hz9SIvr4Cz0ReIT0ji5x8+4dTpczz3f28yY9oEggL9UKvV/P7nUkxMTAzrqXOd3nrjX0yYOpcJU+fy2MP3U1xSwlvvfoqtrZLnn364+ccb8NwaM2rkYD765Fv++9FX9OwRzs5d+1m+akO97T56/zWGjJpBv8GTee6Zh/HydCc+IYmoU2ebHbNoaHyjRgxi4V/L6NyxHYGBfqxcvYnIg0f19iWXy3n9led45IkXmf/Y/2l7VyYk8dEn32Jrq0Iuk1/zcY1NpVLy4Xuv8tRzr5Gdk8vokYOxtVWRmpbBnr0HGTSwD/fMmkLfPj1QqZQ89dyrvPnaC5SUlvL+h1/i5GivuwZxo2xtVfTp1Y1Pv/wRNzcXnBwd+HXhP0b9td2QdqFB3D1rMm/UdEXv1rUzO3cfYN2GbQDN9nZsSEu+nkqlDS+9+j6Xc/IICvLj76Wr2b5jL7/8+KmuRmjM9/HVBvTrzYbVfzBu8v3cdd/jLF74Tb0fJrVm3z2Vn39dzL1zn+Slfz1Br55dKSoqZsu2PTzz5IO0Cw0y+HNd66dfF6HRaOjRvQtbtu3m598W8+arz2Nrq6p5ToNZvXYzz7/4H8aNGc6x46f4+rtf612i+c9rz7Nx8w76D53CS//3JEGBfqSmZbB56y7++OXLBo8dEhSAiYkJvy78BwcHO8zNzAgNCdQl6T69utG1Syf27DvEk4/Na7RfQEin/vSN6MlvCz5r8P6G3NIkN+veRwGwsDDHxdmJruGdWLTwG6ZPGafXDGFtbcXOzUv592vv88ob/6WoqITQkAB+//kLZt89Vbedj7cnh/et5633PuW1Nz8kOycXRwd7OnYM5f57pwPa63je3p58/tUCUlLTsbAwp3PHdqxZ/ivdu4W12HMdPXIIa1f8xjvvf85d9z2GmZkZgwb04cP3XjXoAq4hz60xr7/8DPn5BXz+9U+Ul1cwsH8fNq75k6AO/fS269kjnL3bV/LmO5/wzAtvUFFRga+PV5Ndna81vi8/eQdJknjtrY8BGDNqCH/99jV9Bk7Q299D8+6mpKSEz7/6ib/+XkmnDiEs/OULJs94EFtb5TUftyU88tBsvL08+OTz71m8ZBXV1dV4erjRv28vwsO0HXOcnR1Z/vcC/u+ld5h57yN4uLvy9BMPkpubz9vvG/5Bbc5fv3/N40+/wlPPvYalpQUzpo5n7sdvMXHaXKMdoyE/fP0hShtrPv7sOyorqxgyqC9fffYuE6fNxfYarpvUasnXU6W0YdHCb3juX29y+uwFXF2c+Px/b+nVxI39Pr5av4iebFzzJ2Mn3cfMex/lnz+/013Xr8vU1JRNa//i7fc/Y8Evi3j7/c9xdLCnb0QP3eUNQz/XtVYu+ZlnXniDdz/4AluVilf//TSvvXyluXX+A/eQkpLGrwv/4cef/6Jn9y6sXvYr0+6ar7cfP19vDuxazetvfcyrb35AcXEpnh6uTXaScXS058tP3+HjT79jyMgZqNVqtm9aoteZcPrUcZyIOtNgh5Na1dXqejXL5shqui4LQqt39FgUvQeM57efPue+e6bd6nCERnzy+ff8+9X3iT8fiY+3560OB9AOTt6+Yx9JF4/c6lBuurfe/ZS33/+MisKEZq8F3koDhk5BLpexe1v9ST5uROt9xsIdLSExiW9/+J3+fXuhUik5fz6W/378Nf5+PvW6gQu3zroN2zgbfYEuYR2Qy+Xs23+YT774gRnTxreaBCe0XhUVFRw/eYbtO/Zy4OBRVi752ejHEElOaJUsLSw4c/YCfyxaTl5eAfb2tgwb0p//vvNys+P4hJtHqbRm9drNfPjJt5SUlOLp4cZTjz/Af2pm0RCEpqRnZNF/yGTs7Gx5+f+eNGiGomslmisFQRCENqtVzngiCIIgCMYgkpwgCILQZokkdxupu5p6Y391V+NtKSejzjL97ofxC+mNpV0gnv7dGTZ6Jl99+8s17+tGVpu+VnXPk5nSj8D2fXng4edJSbmyNEntsiQt6a13P2XHrv1G2deuPZG6ZUuMYfvOfdz3wNMEd+yHtUMQwR21S8hkZeXU27a8vJwXX3kXT//uWDsE0W/wJPbsO6i3TUysdsWK8F4jUDmH4unfnUnT5xF1KrrB4y/4ZREdwgdjaRdI+y6DGlyK53rUvq5NLacltE2i48lt5OolPKbNmk9Y5/a6pTIAzBsYc2NMR46eZNCI6fTuGc4H772Cm6sLKanp7D9whFVrNvHU4w+06PFv1JzZM3j4odlUV1cTFRXNf977hMhDxzh+cNNNmzHl7fc/45UXn2Lo4IbHM12LbuGd2L9rNR3aBRshMvjhpz8pLtYutxLg70PsxUTeevcTtmzbw8nDW7CxsdZt+9Bj/8eGTTv48L1XCfD34dsffmfMxNns37laN4H31m172LXnAPffO52u4Z3Jzy/gf599T9/BE9mzbYXe2NQFvyzisade4qV/PcGwoQPYsXMfTz77KpIkGTSvrCA0RCS520ifXt30bpubm+Hk5FCvvCV9/f1v2Nmq2LT2L71VmGffPdWg9fhaklqtRpKkJscCeXq46c5X/769sFFa88DDz7Nx8y6mTh5zs0I1GpVKadTX/5vP39Nb/XvQgAhCgv0ZMnIGS5av5YE5dwHaxXUX/7OKn77/n27qtUED+tC5+zDefOd/rF6mXYx01oyJPP7oHL3JHYYO7kdA+758+e0v/P7T5wBUV1fz+lsfMfueabz71r8BGDKoL2npmbz5zv94aN7djc4OIghNEc2VbczhIycYOe5uVM6hKJ1CGDH2Lg4fOaG3zbWskny13Nx87O1t9RJcrauncTJ0NferXctK2q+9+SEf/u8bAtv3xcI2gNNnrm1S4p41CzjGxSc2us033/1Gv8GTcPLshIN7R/oOmsj6jdv1tqldOf6Hn/7kzbf/h6d/dxzcOzJx2jy95tDaptD3P/pK13T61rufAtpa8sjx9+hWZQ/q0I8nnnmlyfgbaq6sXb1924699IgYg41jMGE9hhm0WnrdBFer9hyl1ZkmbO36LZiamjJr+kRdmYmJCbOmT2TLtj26lQWcnBzqTaJsa6siJMhfb3+Rh46RnX253iKZs++ZxuXLeew70PQg7s1bd9F/yGTs3Tqgcg6lfZdBvPP+5/W2S0hMZvyUOaicQ/EP7cM7739e78fZhZg4ps56CAf3jlg7BNF30EQ2bdmpu//Y8VMorLzZd+Cwruzr737VrexeK/ZiAgorb917pbZp/uDh48ye9xR2ru3xCujOMy+8QXl5w3M6CjdOJLk25NTpc9oV1PMK+OXHT/ntp88pLCxiyKgZ9a6B1K6SfP+9M1jxzwIGDezDMy+80eQks6CdlPf8hYs89tTLHD5yotFrHLWruW/aspN3//NvVvzzE506tmPOg8/w489/NXmM2pW0//jlS1b88xPjxw7n4cdfbPD6zO9/LmXDpu189N/XWLvit2tedSAhUXstsHb+voYkJiXzwNy7+efP71m88Bu6dwtj4rS5el98tT783zdcjE/kp+//x2cf/4eDh49x/4NXVsqubXKeM3sG+3etZv+u1Tw4926Ki0sYM2k2CrmcX374lPWr/uC1l5+huvrapjCqFRd/ief+7z88+/R8li3+ETc3V2bNfoyLBqwtd7Xde7XX2drVaRI9ey4Gfz/vemMWO3QIobKykotxiY3uLzc3jzPRF3Rr9AGcjdauCdmpQ6jetrUrPJyrWTOyIfEJl5g840H8/LxZvPAbVi39hWefmk9Jaf1VAabd9RBDB/dlxT8/MWnCKP7z7id6P6DS0jIYOHwqp06f48tP3+HvP77D1lbFhKlz2bhZ+3p3De+EnZ0tO3cd0D1ux679WFpasHO3fpmJiQkD+/fWi2HOg88Q6O/LssU/8uj8+/j2h9/54ONvGn1+wo0RzZVtyDv//Rxzc3O2blism1R1xNABBLSP4O33P2P53wt02xYVFfP91x/oZvsePXIIqWmZvPXup8yZPaPRJUz+9dwjnIg6w48//8mPP/+JpaUF/fr2ZPqU8Tw49y5dbe63hUuIvZigNz/dmFFDyMrK4Y23P+bBuXfpJta+2ssvPqX7v0ajYfDACNIzsvjhpz94dP59ettKksSmtX8ZfD1NkiTdQpgnT0Xz4ivvYmVlyfgmFrL8+L+v68UzbEh/Yi7G8/2CP+otouvn68Vfv32tu52Tc5kXX3mPtLQMPOo0ldZtNgXtlGV5eQV8+N6rhHVuX1MaYdC8oQ3JuZzLrq3LCA7yB6BbeGc8A7qzdPk6vfPbnKKiYp5/8S3atwtm8oRRuvLcvPwG14ernVexdo3Hhjz9whtIksQzT15ZFiivZvur1/ZzcGh+f8dPnqGyspJvv3hft85YY9c7n3v6YV3z6vChA9i5ez9/L12tK/vsqwXk5RWwf+cqggK1527s6KF06jaU1//zEWNGDUEulzOgXy927TnA6688i0ajYc++gzw6/z6++vZXiotLsLGxZteeA3Tv2rneSgF3z5zMf15/QRfDoSMn+Xvpal2ZYFyiJteG7N1/iHFjhunNGq5SKZkwbkS9Xm+GrJLcEEtLS1b88xOnj23no/dfZfTIIRw7fopHn/w3Yyffp1vV3dDV3BtyLStpjxox+Jo6jPz3468xV/lj7RBMv8GTMDU1Yd3K35ucJPvY8VNMmDoXd7+umCn9MFf5s2373gZXXx4zaqje7U61K3vXrBLfmOAgf+zsbHnsqZf4c/EK3ary1ys4yF+X4ABcXJxwcXYiKdnw/VZXV3PPnCdJTctg0e/fGGXeww8+/prF/6ziy0/f0SWRGxUe1gFTU1Puvv8Jlq1c32BP0FrjRuv/mOnYIZTkOudk775D9OnVTS82hULBXTMmcfLUWd3K4EMH9yPy0HHKy8s5GXWW/PxC/u+5xzA3N2Pvfm0z5q49kQxuYGWTsaP13yOdO7W7ptdFuDYiybUhubmNraDuQl5egV5Zc6skN6dD+xBeePZRli3+kZS4o9x791S2btuju/5g6GruV6tdSfvU6XO8/87L7N62nEN71zHv/lkNrlJ9LStDA8y7fxaH9q7jWOQmspJPcfLwVgYNaHzYRXJKGiPG3U1eXj5ffPI2+3au4tDedYwaMbjB1Zft663srb122dzq3La2KrZv/Ad3d1ftAr4hvQnrMazJpVOacvVCvNpYzPRWeG6KRqNh7vzn2L5zHyv++alO7VLL3s6WvPyCeo+rfV0bOv73C/7g1Tc/5J03/0/XgaVW7Q+zq9+ntQt2NrS/WkGB/mxc8ycajYY5Dz6Dh383+g6ayO699YdV1NYMa5mbm+m9Nrl5+brFYOtydXVGkiTdcx48sC8VFRUcOHiMXXsO0KVzB1xdnekX0ZNdew5wNvoCWVk5DS7fVS8Gs6ZXYBdujEhybYiDg12Dq49nZGbVawaqXSW5rqtXCjaUhYUF/3pWu2zSufOxgPbLvuFY9Fdzv1rtStrff/0B990zjb59etCjexeqG1le41pWhgZtUuzRvQvhXTri6Gjf7PabtuyioKCQv//4jpnTJtCnVzd6dO9CWVnZNR3XEOFdOrJs8Y/kpJ5m/67VBPj7ctfsxzjTwit8N+Sxp15mybK1LPr9a4YN6V/v/o7tQ0lITNYtClvr3LlYzMzMCAr00yv/Y9Fynnz2VZ5/5mFe+ffTXK1jB+21t7NX1fCja95P7RtYfb2uIYP6snHNn+Smn2XL+sWYmJgwYepccnJym3zc1Rzs7cjMzKpXnpmZjUwm0zXRdu7UDicnB3bu2s+OXQcYMlibzIYO7sfOXfvZufsAZmZmeos8C7eGSHJtyMD+fdi4eQdFRcW6sqKiYtZt2FavtlK7SnJdV6+S3JD09MwGy8/HXATQ/Qoe1L+3dvxcpH6vuKtXc7/azVhJ+1rUJrO6q0DHxMazP7LpBTKbYmZmRlkTvelMTEzo06sbb7/xf2g0Gs5duHjdx7oe/3rpbX7+bTE///AJkyeObnCb8WOHU1VVxdIV63Rl1dXVLFm+lhHDBur1vl25eiMPPvICD869W+/6Zl0Rvbvj5OTAor9X6pX/tXgFDg529IvoYVDs5ubmDB3cj3899yglJaUkJCYZ9LhaAwf04eDhE3qTE6jVapYsX0vXLp101/xkMhmDBkSwbcde9h04zJBB2muAQwb15UTUWVat2USvHl3EZOKtgOh40oa89tIzrN+4jRFj7+L/XngcGTI+/vRbSkvLeP3lZ/W2NWSV5IY88uRLFBUVMXXyWDp2CEWtVnP0WBQff/Y9gQG+TKn5UjR0Nfer3YyVtK/FsCH9MTExYc78Z3n+6YdJz8jirXc/xcfb87rHBXZoF8yGTTsYNWIw9na2eLi7cvzkGRb88heTJozC38+HkpJSvvruF5RKGyJ6dTfys2rcR598y2dfLmDe/bMIDvLn4OHjuvucnRwIDPADtD0MZ06fwPMvvkVVVTX+ft58v+APEhKT9VaH3rPvIPfOfYounTsw574ZevszNzOja3gnQLtI6Fuv/4snn30VTw83hg0dwM5d+/l14T98+cnbDS4sWuv7BX+wd/8hxowaireXOzmX8/jw46/xcHelU8fQRh/XkGeffIjf/1zKqPH38OZrz6NSKvnux4XExMazdsVvetsOGRjBk8+9hkKhYEC/XrrzolTasHP3gXqfOeHWEEmuDQnr3J4dm5by+lsfMW/+c0iSRJ9e3di5eSldwjrobWvIKskNeeLROSxesppvf/idtPRMKiur8PJ04967pvDaS8/oZsQwdDX3q92slbQN1bFDKH/8+iX/eecTJs94kMAAX95/5yU2b93F7j0Hm99BA7787B2efeFNJk1/gIqKCt545TnumjkJS0sL3vvgS9IzslAqrenRrQub1y7Cy8vdyM+qcbXDIn5d+A+/LvxH7777Z0/n1x+vvAa//PAJr/3nI95462PyCwrp0rk9G1b/QbeunXXb7Nx1oGbNsNMMGKo/Bs7Xx4v481eumz06/z5kMhmfffkj//v8B3y8Pfjq03d47JE5TcbcJawDm7bs5NU3PiAr+zIO9nb069uTP3796ppnsfHwcGPPthW89Nr7PPHMq1RUVBIe1oG1K36r15O2tlNJj25huhqeQqFgYP/erF2/tcFOJ8LNJ5bauQPdyaskC4JwZxHX5ARBEIQ2SyQ5QRAEoc0SzZWCIAhCmyVqcoIgCEKbJZKcIAiC0GaJJCcIgiC0WSLJCYIgCG2WSHKCIAhCmyWSnCAIgtBmiSQnCIIgtFkiyQmCIAhtlkhygiAIQpslkpwgCILQZokkJwiCILRZIskJgiAIbZZIcoIgCEKbddNWBs8tLOG3NXspLClDhoz+XUMY1qsDJWUVLFi5i8v5xTja2TB/ymCsLc2RJIklWw5zJi4FM1MT5ozvj4+7IwCRpy6yYV8UAGP7dyEiLAiAS+k5/L52H1XVajoFejFzZC9kMtnNeoqCIAhCK3PTkpxCJmP6sJ74uDtSXlHF+7+spb2/B5GnLtLOz53RfcPYdOAUmyNPM3VoD87EpZKVW8jbj00lIS2bRZsieWneeErKKli/9yQvPzABgP/+spawYG+sLc1ZtPEgs8f1xd/Dma//3sbZuFQ6BXndrKcoCIIgtDI3LcnZKq2wVVoBYGFuipujLflFpZyKSeL52aMBiOgcxKd/bmLq0B6cikmiT1ggMpmMAE8XysorKSgqJSYpg/b+HlhbmgPQ3t+D6PhUQnzcKK+sJMDTBYA+YYFExSQ1m+QKCgtv6HnJZDIkqfUvySfiNC4Rp3GJOI3rZsQpA1QqVYsewxhuWpKrKye/iOTMXPw9nSgsKdMlP5WNJYUlZQDkF5Vir7LWPcZOZU1+USl5V5crrckrKtVur9Qvzy8qbfD4e49fYO+JGADmjo/Aw9XJ6M9REAShLSsuLr7VIRjkpie58soqfly+i5kjemFpbqZ3n0wmuynX0AZ0C2VAt1BAW5O7kdqcrUp1w7XBm0HEaVwiTuMScRrXzYhTIb89+i3e1CjVag0/Lt9Jr04BdG3nC4DK2pKCmhpXQVEpSisLAOyUVuQVlugem19Ygp3SCvury4tKsFdaabcv0i+3q6khCoIgCHemm5bkJEli4fr9uDnaMrx3R115WIg3kacvAhB5+iJhIT7a8mBvDp6KQ5Ik4lOzsDA3w1ZpRYcAT6Lj0ygpq6CkrILo+DQ6BHhiq7TCwsyM+NQsJEni4Kk43b4EQRCEO9NNa66MS8ni0Ok4PF3seXfBagAmDenOqIjOLFi5m/0nY3G0tWH+1MEAdAry4kxcKq9/uwIzUwVzxvcHwNrSnLH9u/DBr+sAGDegi64Tyj2j+/D7un1UVqnpGOhJp0DPm/X0BEEQhFZIpi5Nbv1dhVrQjbZbizZ64xJxGpeI07hEnFco5HJsbGxa9BjGcEt6Vwq3xqZ4Dd+flMgsAVdreDRcxuiA2+PisSAIwvUQSe4OsTamgg8OSpSrtbczSuCDgxKgEYlOEIQ2S3y73SE+jyzXJbha5Wr4/uQd3VotCEIbJ5LcHSK9WNNgeWZJg8WCIAhtgkhydwh3m4ZfalfrBosFQRDaBJHk7hDPRlhgodAvs1BoO58IgiC0VaLjyR1iQog5paVlonelIAh3FJHk7iCjA+SMDrjVUQiCINw84me8IAiC0GaJJCcIgiC0WSLJCYIgCG2WQUkuNikDtab+OCu1RkNsUobRgxIEQRAEYzAoyX3652ZKyirqlZeVV/Lpn5uNHpQgCIIgGINhzZWShIz646lKyiowNxUdNAVBEITWqckM9e2S7dr/yGT8umYPJooro4k1Gom07DwCvJxbNEBBEARBuF5NJrnaxUiRJKwszDA1ubK5iUJOkLcL/buGtGiAgiAIgnC9mkxycyZoV+N2tLVhRJ+OmJuZ3pSgBEEQBMEYDLqgNn5geAuHIQiCIAjGZ1CSKymrYPWu45xPTKeopAzpqiXIPv+/e5vdx8K1+zh9MQWltQVvPDwZgAUrdpF5uQCA0opKrMzNeG3+JHLyi3jrh1W4OqgA8Pd05t6xfQG4lJ7D72v3UVWtplOgFzNH9kImk1FSVsGClbu4nF+Mo50N86cMvtLcKgiCINyRDEpyC9ftJznzMgO6hmJrY4lMdu0z10d0CWJwj/b8tnavrmz+1MG6/y/bdgRL8yvNoc72Sl6bP6nefhZtPMjscX3x93Dm67+3cTYulU5BXmw6cJp2fu6M7hvGpgOn2Bx5mqlDe1xznIIgCELbYdAQgguJ6cyfMpgx/cLo2yWYiLAgvT9DBPu4YWVp1uB9kiRxLDqBHh2bnj24oKiU8spKAjxdkMlk9AkLJComCYBTMUlEdNbGEtE5iKgLSQbFJQiCILRdBtXklNYWmJu13Hi4i8mZKK0tdc2TADn5xbz30xoszE2ZOKgbwT6u5BeVYq+8ssqnndKa/KJSAApLyrBVWgGgsrGksKSsxeIVBEEQbg8GZa5Jg7uxdvdJ5kzsj0UL9LA8cjaBnh39dbdtbax4/8np2FhZcCk9h++X7uCNRyYbvD+ZTNZkk+re4xfYeyIGgLnjI/Bwdbru2AFsVarmN2oFRJzGJeI0LhGncbV0nMXFxS26f2MxKMlt2BfF5YJi/u+zv3G0tUGh0G/lfL2Ba2eGUms0nLhwiVcemKArMzVRYGqiHXju6+6Ek72SrMuF2CmtyCsq0W2XX1SCXW3tzdqSgqJSbJVWFBSVorSyaPSYA7qFMqBbKAAFhYUUFBZed/y2KtUNPf5mEXEal4jTuEScxnUz4lTIb4/5/Q1Kct3a+bVYAOcT0nBztMVedaUZsqikHGtLM+RyOdl5RWTlFuFkr8Ta0hwLMzPiU7Pw93Dm4Kk4BvdsD0BYiDeRpy8yum8YkacvEhbi02IxC4IgCLeHmzZO7qeVu4m5lEFxWTkvfbmECQPD6RcewpHoBHp28NfbNjY5g7W7T6KQa5sd7x0ToRsOcM/oPvy+bh+VVWo6BnrSKdATgFERnVmwcjf7T8biaGuj13NTEARBuDPJ1KXJUvObtV03WqUXzRfGJeI0LhGncYk4r1DI5djY2LToMYzBoJpctVrNxn2nOBKdQG5BMWqNfl787pU5LRKcIAiCINwIg64crtl9gsjTFxneuyMymYxpw3owuHs7bCzNuXt0n5aOURAEQRCui0FJ7lh0IveOiWBgt1DkchldQryZNao34weGcy4hraVjFARBEITrYlCSKywpw93JDgBzU1NKyysB6Bjoybl4keQEQRCE1smgJOdga01+sXZmERcHJdE1iS0+JRtTU0VTDxUEQRCEW8agjifhob6cT0gnwNOFIT078POq3ew7EUN+USkj+nRq6RgFQRAE4boYlOSmDOmu+3/39n7Yq6yIT8nGxUFFWLB3iwUnCIIgCDfiumZdDvB0IcDTxdixCIIgCIJRNZrkTpy/ZPBOurbzNUowgiAIgmBMjSa5H5fvNGwPMpkYDC4IgiC0So0mue9enXsTwxAEQRAE4zNoCEFVtZqKyqqWjkUQBEEQjKrJjifFpeX8tmYf0QmpSBL4ezgxb9JAnO2VNys+QRAEQbhuTdbkVu48RlJGDhMGdmXasB4Ul1Xw18YDNys2QRAEQbghTdbkouPTuG98fzoHeQHQKdCTt39cjVqtqbc6uCAIgiC0Nk1mqoKiUnxcHXS33ZzsUCjkuim+BEEQBKE1azLJSYBcrr+JQi5Hku7odVYFQRCE20TTM55IEp/8uRFFnURXWVXNV39vxURxZWLm1+dParEABUEQBOF6NZnkxg0Ir1fWNVTMbiIIgiDcHppMcuMHhhvtQAvX7uP0xRSU1ha88fBkANbuOcG+E7EorcwBmDSku66Ty6b9p9gfFYtcJmPmyN50DPQE4GxcCku2HEYjSfQLD2Z03zAAcvKL+GnlbkrKKvBxc2TepAF6tU1BEAThznNdEzRfj4guQQzu0Z7f1u7VKx/WuwMjr1quJy07nyPRCbzx8GQKikv5/K8tvP3YFAAWbzrEM/eMxF5lxX9/WUdYsA8eznas2HGMYb060LNjAH9tOMD+k7EM6t7uZj09QRAEoRW6aeMAgn3csLI0M2jbUzFJ9Ozgj6mJAic7JS4OShLTckhMy8HFQYmzvRIThYKeHfw5FZOEJElcSEynW3s/ACLCgoiKSWrBZyMIgiDcDm5aTa4xu46e49DpOHzdHJk2vCfWlubkFZUS4Oms28ZOaU1ekXbYgr3S+kq5ypqE1GxKyiqwsjDTdZCxU1mTXySGOQiCINzpbmmSG9StHeP6dwGZjDW7TrB82xHun9C/xY+79/gF9p6IAWDu+Ag8XJ1uaH+2KpUxwmpxIk7jEnEal4jTuFo6zuLi4hbdv7E0m+TUag2/rN7D5CHdcLY37klT2Vjq/t+/azDfLtkOgL3SirzCEt19+UUl2CutAMgrqlNeqC23tjSntLwStUaDQi4nv7AEu5rtGzKgWygDuoUCUFBYSEFh4XU/B1uV6oYef7OIOI1LxGlcIk7juhlxKuS3x6xXzUapUMg5l5AGyIx+8II6TYonLyTh4WwHQFiIN0eiE6iqVpOTX0RWbiF+Hk74ejiRlVtITn4R1Wo1R6ITCAvxRiaTEerrxvFziQBEnrpIWLCP0eMVBEEQbi8GNVeGh/py4sKler0gr8VPK3cTcymD4rJyXvpyCRMGhhNzKYPkzFxkMhmOtjbcOyYCAA9ne7q39+OtH1ahkMu4a1Qf3cwrs0b14cvFW9FoJPp2CcLD2R6AKUN78NPK3azZfQJvVwf6hQdfd6yCIAhC2yBTlyY3O0fXuj0n2X74LME+bvi6O2Fupp8bh/fu2GIBtrQbrdKL5gvjEnEal4jTuEScVyjkcmxsbFr0GMZgUE0u8tRFrCzMSc3KIzUrT+8+mez2TnKCIAhC22VQknvvyektHYcgCIIgGN01d48pLC5DI1YhEARBEG4DBtXk1GoNq3YdZ8/x81RVqXnrsak42ytZseMoDiobBvcQ02cJgiDcDjbFa/j+pERmCbhaw6PhMkYH3B7DAa6HQc9s3d6TnI5NZt7EgZiYXJn02M/DichTF1ssOEEQBMF4NsVr+OCgREaJdr3QjBL44KDEpnjNrQ6txRiU5I6cTeCeMRGEh/ogqzNczsPZnqzcgpaKTRAEQTCi709KlKv1y8rV2vK2yqAkV1BcioOtdb1yjUaDRtN2T44gCEJbkllybeVtgUFJzt3JjotJmfXKj0Un4uPuaPSgBEEQBONzrV9XabK8LTCo48n4AeH8smYPuYUlaDQSx88lknG5gCNn43li1vCWjlEQBEEwgkfDZXxwUL/J0kKhLW+rDKrJhYV4M3/KYM4lpCGXyVi39yRZuYU8PnMY7f09WjhEQRAEwRhGB8h5qY8MN2vtbMRu1vBSn7bdu9LgpXY6BnrSMdCzJWMRBEEQWtjoADmjA251FDePQel74/5TxKdkoda03W6mgiAIQttjUE3ubFwK6/eeRKGQE+DpQoivGyG+bvh5ON02awoJgiAIdx6Dkty/7h9LZVU1cSlZxF7K4GxcChv2RSGXywj0cuHpu0e2dJyCIAiCcM0MviZnZmpCe38PPJ3tcXe24/TFFI5FJxLbwNACQRAEQWgNDEpyR6MTiLmUQcylDHILS/D3cCLYx41n7hmJv6dzS8coCIIgCNfFoCT388rd2FhbMKJ3Jwb3aIeZqcEVQEEQBEG4ZQzKVveO7UtsUgY7j55j4/4ogrxdCfF1I9TXHW83B2SytjuQUBAEQbh9GZTk+ncNoX/XEACy8wqJuZTBuYQ0Vu86jrmZKZ88f3eLBikIgiAI18PgdkeNJHEpLYeYSxlcuJROXHIWkgQuDiqDHr9w7T5OX0xBaW3BGw9PBmD59iOcik3GRKHAyU7JnAn9sLIwJye/iLd+WIVrzb79PZ25d2xfAC6l5/D72n1UVavpFOjFzJG9kMlklJRVsGDlLi7nF+NoZ8P8KYOxtjS/trMhCIIgtCkGJbmvFm8lLjWLqio1Pu6OhPi6MaxXR4K8XTA3MzXoQBFdghjcoz2/rd2rK2vv78HkId1RyOWs2HGUTQdOM3VoDwCc7ZW8Nn9Svf0s2niQ2eP64u/hzNd/b+NsXCqdgrzYdOA07fzcGd03jE0HTrE58sq+BEEQhDuTQUnOy82Bob06XFNSu1qwjxs5+UV6ZR0CrkwT5u/hzPHzl5rcR0FRKeWVlQR4ugDQJyyQqJgkOgV5cSomiednjwYgonMQn/65SSQ5QRCEO5xBSW7KkO4tHQcHomLp0cFfdzsnv5j3flqDhbkpEwd1I9jHlfyiUuyVV9aEsFNak19UCkBhSRm2SisAVDaWFJaUtXjMgiAIQutm8DW507HJbI48Q3pOPjKZdo25kRGd6RzkdcNBaGdPkdOrk3bWUFsbK95/cjo2VhZcSs/h+6U7eOORyQbvTyaTNdnjc+/xC+w9EQPA3PEReLg63VD8tirDrkveaiJO4xJxGpeI07haOs7i4uIW3b+xGJTk9p2IYfGmg/TqFEBEWCAAscmZ/LBsB3ePjqBfePB1B3AgKpbTF1N47t5RusRkaqLA1EQBgK+7E072SrIuF2KntCKv6MoStvlFJdjV1t6sLSkoKsVWaUVBUSlKK4tGjzmgWygDuoUCUFBYSEFh4XXHb6tS3dDjbxYRp3GJOI1LxGlcNyPO22XeYoOS3ObI00wf3pMhPdvryvqFh+Dr5sTmyNPXneTOxqWw5eAZXpg9Rm+AeVFJOdaWZsjlcrLzisjKLcLJXom1pTkWZmbEp2bh7+HMwVNxDK6JKSzEm8jTFxndN4zI0xcJC/G5rpgEQRCEtsOgJJdXWNLgWnIdAz1Zvv2IQQf6aeVuYi5lUFxWzktfLmHCwHA2HThNdbWaLxZtBq4MFYhNzmDt7pMo5Npmx3vHROiGA9wzug+/r9tHZZWajoGedKqJa1REZxas3M3+k7E42towf+pgg+ISBEEQ2i6Dkpy9yppzCWn1xsRFx6fhYGtj0IEemjKoXlm/8JAGt+3Wzo9u7fwavM/Xw0k3zq4uGysLnrt3lEGxCIIgCHcGg5LciD6d+GfzIZIyLhPope2+H5ecxaEzccwa2btFAxQEQRCE62VQkhvYLRSllQXbDp3l5IUkANwcbXloymDCQ8W1L0EQBKF1ajbJSZJEVl4Rro62PH/f6NumR40gCIIgNJnkcvKL+G7pDtKy8wGwV1nx6LSh+Lg73ozYBEEQBOGGNFktW7njGNXVauZNHMDDUwdja2PFXxsP3KzYBEEQBOGGNFmTu5icyYOTBxHi6waAn4cTr3y9jMqqarFwqiAIgtDqNVmTKywuw83RVnfbXmWNmYlCzAspCIIg3Baa7kXSwByQYhVwQRAE4XbRdJujJPHat8uQcSWxVVRW8c6C1Xpln//fvS0WoCAIgiBcryaT3P0T+t+sOARBEATB6JpMchFhQTcrjtuSZekHyNQ2mFcp0cidkWROaOROSDInJJkSRNOuIAjCLSW6SF4vScK84m9kFVVYNXQ3ZrqEV/ffq5OhRu4IMvObHr4gCMKdQCS566am1OoNLM2KqCxLRa7JQSblINdo/2SUoNCkAWmgbnpPGplKl/AaT4ZOSDJ7kIkZZwRBEAwlktz1kplQaT4VS5WKMlkDixNKJcg1l/UTn5RzVTKsuV8qBKkQhSa+yUNKKJBkDlfVDJ2QZM71ysBKNJcKgnDHE0mupcis0SisAZ+mK3KSBplU0EwyzEEmZSOXCrT/qrObPbyEZU3ic0Qjd0JW5YFFtW0DCdIBZGbGetaCIAitSrNJTq3W8PHCDcydOEBvYLhgJDI5ksweCXs0imZWWJcqkUmXm0mGl5FrspFRhkKTDCRrm0urwLKR3Wpkds3WDLWdaWxF7VAQhNtKs0lOoZBzOb8Y8dXWCsjMkGTuqOXuzdQOJaBELxlamRVTUZaCXJNdpxk1G5mUi1zKBykfheZik4eXMNFdO2zommHd/yNrLKUKgiDcPAY1V/YJC2TfyRimDevZ0vEIxiCTATZoFDZoFH7aMpWKchq6dqhGJuU1UTOs869UhEzKQK7OaLYzjYR1ox1o6nemEa3mgiC0DIO+XSoqqzl8Np5z8Wn4uDthftXkzLNGidXBb1syBZLMCbXcqfltpXK9zjQNJ8PsOr1LS1BoLjW9S2R6nWlkle5Y1lw7vHoIhhh7KAjCtTIoyWVcLsDHTbuGXE5+kd591/KVs3DtPk5fTEFpbcEbD08GoKSsggUrd3E5vxhHOxvmTxmMtaU5kiSxZMthzsSlYGZqwpzx/XXr2EWeusiGfVEAjO3fRTdo/VJ6Dr+v3UdVtZpOgV7MHNlLzLVpTDILNApPwLPZ5lKZVNh8zVCTo61FSpeRqy8DF6AaLBrbrW7sYcPXDMXYQ0EQrmZQknt+9mijHCyiSxCDe7Tnt7V7dWWbDpymnZ87o/uGsenAKTZHnmbq0B6ciUslK7eQtx+bSkJaNos2RfLSvPGUlFWwfu9JXn5gAgD//WUtYcHeWFuas2jjQWaP64u/hzNf/72Ns3GpdAryMkrswjWQyZBktkjYolEENr2tVKXXXGptXkxFSUq9mqG2dlh6HWMPm0qGYuyhILR1N/ViSLCPW72a4KmYJF0SjegcxKd/bmLq0B6cikmiT1ggMpmMAE8XysorKSgqJSYpg/b+Hlhban+pt/f3IDo+lRAfN8orKwnwdAG01xGjYpJEkmvtZKZIMhfUcu3rho2Kck0D1w7BwLGHNT1Mr2nsoWOzyVDbmcbayE9eEISWZnCSu5CYzpGzCeQWFqNWa/Tue+4GanqFJWXYKrUTY6lsLHVr1eUXlWKvuvKlYqeyJr+olLyry5XW5BWVardX6pfnF5U2eMy9xy+w90QMAHPHR+DhasD1qCbYqlQ39Pib5faPUwW4N/t4SdIgafJBnQXq7Jq/LGSabKjOAk3dsnxkUhZydVbz+5VZgcIZFC5Q4YydwhlJXnNbUfdfJ5CZXtNzbkm3/+veuog4tYqLi1t0/8ZiUJI7EBXLoo2RhIf6EnMpgy4hPmTlFpKTX0SvTs00R10DWQPr17WEAd1CGdAtFICCwkIKChupORjAVqW6ocffLHdenCaAR80f2ovHipq/ugwae1g73KIUqi9p/7iy24ZoZPbN1gxvxtjDO+91b1kizisU8tujmd+gJLft0FnuGtWH/l1DeObjP5k8pDvO9koWbzqIhdmNtXiqrC0pKCrFVmlFQVEpSitttwM7pRV5hSW67fILS7BTWmGvtCLmUsaV8qISQnzdtNsXleiV2ykbmjpZEOq4zrGH1hYllJck6xKgfoLMRS7lgZSHQhPb5OGvjD1sKBk6X9WZRow9FIRrZVCGys4rop2/tpnIRKGgorIKgCE92vHpn5uYMrTHdQcQFuJN5OmLjO4bRuTpi4SF+GjLg73ZdfQ8PTr4k5CWjYW5GbZKKzoEeLJq53FKyioAiI5PY/KQ7lhbmmNhZkZ8ahb+Hs4cPBXH4J7trzsuQdBz9dhDaxUV6sauHTY29jCbekMwrmnsoU2zNcMrU7VdXWUVhDuTQUnOxtKcispqQFvDSsvOx8vVgeKyCiqrm/lk1vHTyt3EXMqguKycl75cwoSB4YyK6MyClbvZfzIWR1sb5k8dDECnIC/OxKXy+rcrMDNVMGe8dgFXa0tzxvbvwge/rgNg3IAuuk4o94zuw+/r9lFZpaZjoCedAj0Njk0QjMYoYw+z6w+3oBiFphiFJrHpXaKdKk4jd0JW5oaVxq6BmmHtRN42Yuyh0KbJ1KXJUnMb/bxqNz5ujozo04kN+6LYfjiasGBvziem4+fhxCPThtyMWFvEjbZbizZ64xJxNqLRsYfZumuKujIp1/DdYt5szbD2/y05kbd43Y3rZl2Ts7GxadFjGINBNbm7RvWhqqbGNrpfGAq5nLiULLq392Ns/7AWDVAQBK577KGNZSllxUkN1gyvjD1MBVKvY+xhYxN524mxh0KrYVCSq20OBJDLZIzq27nFAhIE4QbVHXtoqaKyqolf9PXGHtYmw6vHI17f2MMrc5c6NlhLFGMPhZbWaJKr7dhhiLpJUBCE28h1r3vYSM1QyqlZ97Bm7GGznWm06x7KSt2w1tg305mm9Yw9FG4fjSa5f326uPkL0pIEMhnfvTLH2HEJgtCa3NC6h3WHWNS9flhn3cOKZJq74ndl7GFtM6ljA8lQrHso6Gs0yd3ILCaCINzBrmPsodKylNLiS01M6H0tYw9NDRhmUdtc2th04EJb0WiSC/F1u5lxCIJwp6kz9hALFVWVHRrfVm/sYfZVybD+2EOFJh1IN6AzjbLeChYNT+Qtxh7ergyerqSqWs3hM/Gk5+Qjk4G7kx09OwZgaiJeeEEQWpje2MN2TW+rG3t4dTJsYNo2qQikIhSahKZ3iRxJ5oCs2BUbyb7JGWrAWjSXtiIGJbm07Hy++nsr5RWVeLrYA7DvRAzr9pzkqbtH4O5k15IxCoIgGO6a1z1sKBnWH3sok3KgKofmur9IWFzVTOrYYDKUZI4tOvZQ0DIoyS3ZeghvVwfmTRqApbn2RSmrqOTX1XtZuvUwT989skWDFARBMDq9sYdBTW9bM/ZQZVlKSc21w0Yn9KYUhSYFSDGgudTWoLlLtZ1pxNjD62FQkotLzuLlB8brEhyApbkZkwZ348Pf1rdYcIIgCK1CzdhDzFVUV/g1va1U0kgzaUNjDwtAKkChiWt6l5g00JvUsV4y1HamERPT12VQkjM1UVBaXlmvvKyiUlyTEwRBqEs39tDXgLGH+QYsAlw79jATuTrTgLGHVlDkgg0OBkzk3fbHHhqU5MKCvflzwwFmj+1LgKczAPGp2fy1IZKwYO8WDVAQBKFNkmk7s0g4oFGENL2tVNlEMrx67GEpVCdiSmKTuyy1/D8qLOYa7em0VgYluZkje/Hbmn18snAjMrm215AkaZPfzBG9WjRAQRCEO57MDEnmgVruYcDYw2JsrcopKUxscnULjdz5JgV/axmU5KwszHl85jCycgvJyCkAwM3JFheH22MZeEEQhDuCTAYowdSTatM7I4k155qW9XZxUOHioEKt0ehWJRAEQRCE1qrJJHc+IY3isgp6dPDXlW06cIp1e06i0Ui083fnoSmDsLIQEzQLgiAIrU+TAy82RZ4mv6hUdzshNZvVO4/Tu3MgU4f1ICUzj437T7V4kIIgCIJwPZpMcmlZeQT7uOpuHz+fSICXC/eN68fw3h2ZNao3p2KSWzxIQRAEQbgeTTZXlpZXorS21N2OS86iU5CX7ravu6NeTe96ZFwu4KcVu3S3c/KLmTAonNLySvadiEVppW0KnTSkO51rjr1p/yn2R8Uil8mYObI3HQM9ATgbl8KSLYfRSBL9woMZ3VesWi4IgnAnazLJ2dpYkZ1XiIPKmqpqNcmZuUwc1FV3f0VlNSY3OBjczdGW1+ZPAkCj0fDSl0sID/XlQFQsw3p3YGSfTnrbp2XncyQ6gTcenkxBcSmf/7WFtx+bAsDiTYd45p6R2Kus+O8v6wgL9sHD2e6G4hMEQRBuX00muY6BnqzYfowpQ7tzKiYJM1MTguo0X6Zk5eJsrzRaMOcT03GyV+Foa9PoNqdikujZwR9TEwVOdkpcHJQkpuUA4OKg1MXTs4M/p2KSRJITBEG4gzV5TW7ioK6Ymij44q/NHIi6yOyxfTFRXKm5HYi6SHt/D6MFc/RsAj3r9OTcdfQc7yxYzcK1+ygpqwAgr6gUe5W1bhs7pTV5RaXacmWdcpW2XBAEQbhzNVmTs7Gy4F/3j6GsvBJzMxPkcv2c+PDUwZibXdNQu0ZVq9VExSYzeUh3AAZ1a8e4/l1AJmPNrhMs33aE+yf0N8qx9h6/wN4TMQDMHR+Bh6vTDe3PVnV7DIoXcRqXiNO4RJzG1dJxFhcXt+j+jcWgDGVp0fCaR9aWxhsfd+ZiKj5ujqhstB1dav8F6N81mG+XbAfAXmlFXmGJ7r78ohLsldpZt/OK6pQXXim/2oBuoQzoFgpAQWEhBYWF1x23rUp1Q4+/WUScxiXiNC4Rp3HdjDgV8ttj6Z9WE+XR6Hh6drzSVFlQp6nx5IUr19bCQrw5Ep1AVbWanPwisnIL8fNwwtfDiazcQnLyi6hWqzkSnUBYiJg8WhAE4U5mnLbGG1RRWcW5hHTuHdNXV7Zix1GSM3ORyWQ42tpw75gIADyc7ene3o+3fliFQi7jrlF9dM2os0b14cvFW9FoJPp2CcLD2f6WPB9BEAShdZCpS5OlWx3ErXSjVXrRfGFcIk7jEnEal4jzCoVcjo1N4z3hW4tGmys/+3MTpeXaHo0HT10UEzILgiAIt51Gk1xcShaVVdrE9vu6/ZRV1F8ZXBAEQRBas0avybk62rJq1zFCfd1BkjgWnYilecNLpfcJC2qxAAVBEAThejWa5O4ZE8GSLYe0EzDLZKzaeQxk9beTIRNJThAEQWiVGk1ygV4uvPzABAAee+833nliGqo6kzULgiAIQmtn0Di5d5+cjtLKoqVjEQRBEASjMmicnKOtDYXFZew6dp70nHxkgLuTHYO6t9ObmUQQBEEQWhODanIXkzN5/bvlHDkbj5mJAlMTBYfPxvPGdyuIT8lq6RgFQRAE4boYVJNbvv0oPTsEcM/YCOQybe8TjSSxaEMky7Yd4cW541o0SEEQBEG4HgbV5FIycxnep6MuwQHIZTKG9+5AcmZuiwUnCIIgCDfCoCRnaW7K5fyieuU5+cVYmje8QoEgCIIg3GoGNVf26ODPwnUHmDqsO4FeLgDEJWexYscxvZUDBEEQBKE1MSjJTR3WAwn4Y91+1BrtfM4KuYyB3dsxZWj3loxPEARBEK6bQUnORKFg1sjeTBnSnew8bbOls70SM9NWsVKPIAiCIDTomrKUmakJni5ijTZBEATh9tBqVgYXBEEQBGMTSU4QBEFos0SSEwRBENoskeQEQRCENsugjicxlzIwNVHg7+kMwIGoWPafjMXD2Y5pw3tiYdbwYqrX4pWvl2JhZopcJkMul/PKgxMoKatgwcpdXM4vxtHOhvlTBmNtaY4kSSzZcpgzcSmYmZowZ3x/fNwdAYg8dZEN+6IAGNu/CxFirTtBEIQ7lkE1uaVbD1NQXAZAxuUCFm2MxNPFnvjUbFZsP2q0YJ6fPZrX5k/ilQe169htOnCadn7uvPP4NNr5ubM58jQAZ+JSycot5O3HpnLv2AgWbYoEoKSsgvV7T/LSvPG8NG886/eepKSswmjxCYIgCLcXg5JcVl6hbujAifOXaO/vwT1jIpg9ti+nYpNbLLhTMUlEdNbWxCI6BxF1IUlX3icsEJlMRoCnC2XllRQUlRIdn0p7fw+sLc2xtjSnvb8H0fGpLRafIAiC0LoZ1Fwpk8nQSNqZTs4nphMe4gOAysbSaDUlGTK+WLQFmUzGgK4hDOgWSmFJGbZKK92xCku0tcn8olLsVda6x9qprMkvKiXv6nKlNXlFpUaJTxAEQbj9GJTk/Nyd2LAvivb+HlxMymT22AgALucXY2ukRVP/df8Y7FXWFJaU8cWiLbg52erdL5PJkNVZBeFG7D1+gb0nYgCYOz4CD1enG9qfrUpljLBanIjTuEScxiXiNK6WjrO4uLhF928sBiW5GSN68cvqPUTFJDGmXxjO9tqTd+xcIv6eLkYJpLYGprK2JDzUh4S0HFTWlhQUlWKrtKKgqBSllQUAdkor8gpLdI/NLyzBTmmFvdKKmEsZV8qLSgjxdat3rAHdQhnQLRSAgsJCCgoLrztuW5Xqhh5/s4g4jUvEaVwiTuO6GXEq5LdH53yDkpyniz2vz59Ur3z68B7IZTf+RCsqq5AksDA3paKyinPxaYwb0IWwEG8iT19kdN8wIk9fJKymmTQs2JtdR8/To4M/CWnZWJibYau0okOAJ6t2Htc1oUbHpzF5iJhAWhAE4U51TXNXXkrLITu/iM5BXpibmaLRSMiNMEdzYUk53y/bAYBGI9Gzoz8dA73wdXdiwcrd7D8Zi6OtDfOnDgagU5AXZ+JSef3bFZiZKpgzvj8A1pbmjO3fhQ9+XQfAuAFdsLY0v/EABUEQhNuSTF2aLDW3UWFxGd8t3U5iWg7IZLz92FSc7ZX8teEAJibaFQpuVzdapRfNF8Yl4jQuEadxiTivUMjl2NjYtOgxjMGwcXLbDqO0tuR/z9+NmalCV96tvR/n4tNaLDhBEARBuBEGJbnzielMGtytXtOfs72S3DodQARBEAShNTEoyVVVqTFR1N+0qKQcUxNFA48QBEEQhFvPoCQX7ONK5KmLutsyGWg0GrZEniHUz73FghMEQRCEG2FQ38gpQ3vw6Z8bSUzPobpaw7JtR0jPzqesopL/mzO2pWNsdTbFa/j+pERmCbjbFPBwF4nRAbfHmBFBEIQ7iUFJzsPZjtfnT2LPsQuYKhRUVavp1t6Pwd3b6abdulNsitfwwUGJcrX2dlqxhg8OAmhEohMEQWhlmk1yarWGjxduYO7EAUwY1PVmxNSqfX/ySoKrVa7Wlo8OuDUxCYIgCA1rtuqhUMi5nF+McWaNvP1lNtKZtLFyQRAE4dYxqH2tT1gg+07GtHQstwVX62srFwRBEG4dg67JVVRWc/hsPOfi0/Bxd8LcVP9hs0bdvjOeXKtHw2V61+QALBTackEQBKF1MSjJZVwuwMfNEYCc/CK9++60r3Zt55K6vSvlonelIAhCK2VQknt+9uiWjuO2MjpArutkcrvMZScIgnAnMqj6UVBcqrd+W628whIKi8uMHpQgCIIgGINBSe7X1Xs5E5darzw6PpVf1+w1elCCIAiCYAwGJblL6TkE+7jWKw/yduVSeo7RgxIEQRAEYzAoyWk0EtXV6nrlVdVqqtUaowclCIIgCMZgUJLz83Rmz/EL9cp3HzuPr7uj0YMSBEEQBGMwqHflpMFd+ezPzaRk5dHO1w2A85cySM64zLP3jmrRAAVBEAThehmU5AI8Xfj33HFsOXiGExeSAPB2c+Ce0X3wcnVo0QAFQRAE4XoZlOQAvFwdeGDSwHrl5xLSaO/vcd0B5BaW8NuavRSWlCFDRv+uIQzr1YG1e06w70QsSivtauSThnSnc5AXAJv2n2J/VCxymYyZI3vTMdATgLNxKSzZchiNJNEvPJjRfcOuOy5BEATh9mdwkqsrr7CEyFMXORAVy+WCEr57Zc51B6CQyZg+rCc+7o6UV1Tx/i9rdUlzWO8OjOzTSW/7tOx8jkQn8MbDkykoLuXzv7bw9mNTAFi86RDP3DMSe5UV//1lHWHBPng42113bIIgCMLtzeAkp9FoiIpJZt/JGM4lpOHl4sCAbqF0b+93QwHYKq10a9JZmJvi5mhLflFpo9ufikmiZwd/TE0UONkpcXFQkpimHcbg4qDE2V4JQM8O/pyKSRJJThAE4Q7WbJLLuFzA/pMxHDwdh7mpCT07BnAuIY25EwcYPYHk5BeRnJmLv6cTcSmZ7Dp6jkOn4/B1c2Ta8J5YW5qTV1RKgKez7jF2SmvyapKivfLKUgB2KmsSUrONGp8gCIJwe2kyyf1v4QbSsvPpGurL/CmDCanpWbk58rTRAymvrOLH5buYOaIXluZmDOrWjnH9u4BMxppdJ1i+7Qj3T+hvlGPtPX6BvSe0SwfNHR+Bh6vTDe3PVqUyRlgtTsRpXCJO4xJxGldLx1lcXNyi+zeWJpNcfEo2g3q0Y0DXEDyc7VssCLVaw4/Ld9KrUwBd2/kCoLKx1N3fv2sw3y7ZDoC90kpvHs38ohLsa5o784rqlBdeKb/agG6hDOgWCkBBYeENTbB8u0zQLOI0LhGncYk4jetmxKmQ3x4rrzQZ5UsPjEejkfjfwo2899Math06S0Fx49fLrockSSxcvx83R1uG9+6oKy+oc13u5IUr19bCQrw5Ep1AVbWanPwisnIL8fNwwtfDiazcQnLyi6hWqzkSnUBYiLdRYxUEQRBuL03W5HzcHPEZ7cj04T04du4SB6JiWbHjKJIEZy6mYGtjibWl+Q0FEJeSxaHTcXi62PPugtWAdrjA0bPxJGfmIpPJcLS14d4xEQB4ONvTvb0fb/2wCoVcxl2j+iCv+UUxa1Qfvly8FY1Gom+XoBatfQqCIAitn0xdmixdywOycgt1HVFKyioI9XXnqbtHtFR8Le5Gq/Si+cK4RJzGJeI0LhHnFQq5HBsbmxY9hjFc8zg5FwcVU4b2YNLgbpyKTeFAVGxLxCUIgiAIN+y6BoMDyOVywkN9CA/1MWY8giAIgmA0t0f3GEEQBEG4DiLJCYIgCG3WdTdXCoIgCK3LpngN35+UyCzJw9UaHg2XMTrgzq7LiCQnCILQBmyK1/DBQYlytfZ2Rgl8cFACNHd0ortzn7kgCEIb8v3JKwmuVrlaW34nE0lOEAShDcgsubbyO4VIcoIgCG2Aq/W1ld8pRJITBEFoAx4Nl2Gh0C+zUGjL72Si44kgCEIboO1cUtu7EtG7soZIcoIgCG3E6AA5owNunzk2b4Y7O8ULgiAIbZpIcoIgCEKbJZKcIAiC0GaJJCcIgiC0WSLJCYIgCG3WNa8M3tYUFhYil19/ri8qLUdpZWHEiFqGiNO4RJzGJeI0rpsRp0ajQaVStegxjOGOH0Jwoy/Sl//s5JUHJxgpmpYj4jQuEadxiTiN63aJ82YQzZWCIAhCmyWSnCAIgtBmiSR3gwZ0DbnVIRhExGlcIk7jEnEa1+0S581wx3c8EQRBENouUZMTBEEQ2qw7vnelIbYdOsv+k7HIZODhbM+cCf0oKC7jp5W7KSmrwMfNkXmTBmCiUFBVrea3NXtJyriMtaU5D00ZhJOdskXiWrh2H6cvpqC0tuCNhycDUFJWwYKVu7icX4yjnQ3zpwzG2tIcSZJYsuUwZ+JSMDM1Yc74/vi4OwIQeeoiG/ZFATC2fxciwoJaPM7l249wKjYZE4UCJzslcyb0w8rCHIBN+0+xPyoWuUzGzJG96RjoCcDZuBSWbDmMRpLoFx7M6L5hLR5nra0Hz7B8+1H+99xd2FhZtLrzCbDzyDl2HTuHXCanU5AX04b1AFrX+UzOuMyijZFUVauRy+XcPboP/p7Ot+x85haW8NuavRSWlCFDRv+uIQzr1aHVfY4ai7M1fo5aG1GTa0ZeYQk7j5zj5QfG88bDk9FIEkfOJrBixzGG9erAO49Pw8rCjP0nYwHYfzIWKwsz3nl8GsN6dWDljmMtFltElyCeumuEXtmmA6dp5+fOO49Po52fO5sjTwNwJi6VrNxC3n5sKveOjWDRpkhAmxTX7z3JS/PG89K88azfe5KSsooWj7O9vwdvPDyZ1+dPwtVRxaYD2jjTsvM5Ep3AGw9P5qm7R7B400E0Gg0ajYbFmw7x5F0jePORyRw5m0Badn6LxwnaL5hzCWk4qK6sPtnazueFxHSiYpJ47aFJvPnIZEb06Qi0vvO5Yscxxg0I57X5k5gwqCsrdhwFbt35VMhkTB/Wk/88MoV/zx3H7mPnScvOb3Wfo8bibI2fo9ZGJDkDaDQaqqrVqDUaqqqqsbWx4kJiOt3a+wEQERZEVEwSAKdik3S/4Lq19+N8YjqS1DKXPYN93LCyNNMrOxWTRERn7fEjOgcRdSFJV94nLBCZTEaApwtl5ZUUFJUSHZ9Ke38PrC3NsbY0p72/B9HxqS0eZ4cATxQ1g/D9PZzJKyzVxdmzgz+mJtpfpi4OShLTckhMy8HFQYmzvRIThYKeHfw5VXPOWzJOgKVbDzN1aA+os/Zkazufu49fYFTfzpiaaFfNVFlb6uJsTedTJoPyyioAyisqsVNa6eK8FefTVmmlq4lZmJvi5mhLflFpq/scNRZna/wctTaiubIZ9iprhvfpxCtfLcXUVEF7f0983R2xsjDTvbnsVNbkF2nfXPlFpdjX/OJXyOVYmptRUlaBzU2aJaGwpAzbmi8OlY0lhSVl9eKqG3Pe1eVKa/JqnsvNciAqlh4d/AHIKyolwNO5wXjslfrxJ6Rmt3hsJy8kYae0wsvVQa+8tZ3PrMsFXEzKZPWu45iaKJg2rCd+Hk6t7nzOGNGLLxdvZfm2I2gkeHHuWKB1nM+c/CKSM3Px93Rq1Z+junHW1Zo/R7eSqMk1o6SsglMxSbz7xHQ+fHoWlVVVnI0z7i/zliKTyZDJZM1veAtt2BeFXC6nV6eAWx1KPZVV1Ww6cIqJA7ve6lCapZEkSsor+PfccUwd2oMFK3a1WAvCjdhz7AIzRvTkv0/PZMaInvyxbv+tDgnQ1i5/XL6LmSN6YWl+de2z9XyOGouzNX+ObjWR5JpxPjEdRzslSmsLFAo5XUN9iUvJorS8ErVGA0B+YYmu2cVOaUVeYQkAao2GsopKrC3Nb1q8KmtLCmp+sRUUlermr6sbV92Y7a8uLyrBvua5tLQDUbGcvpjCg5MH6r5EGovHXmlFXpF+/C0dZ3ZeEZfzi3nnp9W88vVS8gtLee/ntRQUl7a682mntKJrqC8ymQx/T2dkMhnFpRWt6nwCRJ6+SNdQXwC6t/cjMS1HF/+tOp9qtYYfl++kV6cAurbTxtYaP0cNxQmt/3N0q4kk1wyHmup8ZVU1kiRxPjEddyc7Qn3dOH4uEdD2qgoL9gEgLNibyFMXATh+LpFQP/eb+iswLMSbyNPa40eevkhYyJW4Dp6KQ5Ik4lOzsDA3w1ZpRYcAT6Lj0ygpq6CkrILo+DQ6BHi2eJxn41LYcvAMj88YhpnplVbzsBBvjkQnUFWtJie/iKzcQvw8nPD1cCIrt5Cc/CKq1WqORCcQFuLdojF6utjz8XN38f6TM3j/yRnYqax49cEJ2NpYtbrzGR7iw4VLGQBkXi5ArVZjY2Xeqs4ngJ2NFTFJ2jgvJKbj4qCdO/ZWnU9Jkli4fj9ujrYM791RV97aPkeNxXk7fI5uNTEY3ABrd5/g6LkEFHI53q4OzB7Xj/yiUn5auZvS8gq8XR2YN2kgpiYKqqqr+XX1XpIzc7Gy0A4hcLZvmSEEP63cTcylDIrLylFZWzJhYDhdQnxYsHI3uQXFONraMH/qla7Pf28+xNm4VMxMFcwZ3x9fD22b/v6TsWw6cAqAMf3C6NsluMXj3HTgNNXVal0t19/TmXvH9gW0TS8Hoi6ikMuYMaIXnYK8ADh9MYWlWw+j0Uj07RLE2P5dWjzOfuFXZo545eulvPLABN0QgtZ0Pnt3DmThuv2kZOaikMuZNrwn7fzcgdZ1Pl0dbVmy5TBqjQZTEwV3j+6Dr7vTLTufF5Mz+d/CjXi62Ov6FU0a0h1/D6dW9TlqLM4lWw61us9RayOSnCAIgtBmieZKQRAEoc0SSU4QBEFos0SSEwRBENoskeQEQRCENkskOUEQBKHNEklOEG6RC5fSefS93yguLb/VobSYR9/7jWM140mNLTO3kP/7/G/KyitbZP83YtfRc3zzz7ZbHYaAmLuyTfpt7V4Onoqjb5dg7h/fT+++FTuOsiXyDJ2DvHhi1vBbFKFxHIiK5Z/Nh/jixdl65a98vZTBPdozsk+nG9r3wjpTTqmsLQnycWXq0O4ttnSSocorqtgSeZrjFy5xOb9YN2HvwG6hdO/gj7yVTEEF8OEzM3VLv+TkF/HaN8t5ed543diyG7F65zEGdWuHpYV2eqsLl9L57M/NWJiZ8tGzs/QGR6fn5PPWD6sAdMslvfj5Pwzu0U5vnNiGfVGs2X2C+VMH071mAnaAX1bvIbegmH/dP9ag2PqFh7Bx/ylikzIJ9nG94ecqXD9Rk2uj7FXWHDuXQEXNjO+gnWbs4Kk4vSVjhMaZmZrw4TMz+fDpmTw4eSApmbl8u2Q7mprp3G6F0vIKPvp9PfujLjKyTydefmA8/7p/LBFhQazfF0VuQfEti60htjZWupURjCm3sISTMUn07VJ/zTZLC7N6tcf9J2Prve9D/dyIqZklptaFSxnYq6zrlydmEOrrbnB8piYKenYMYOeRaIMfI7QMUZNro7xc7MkvKuXYuUTdzAunY1MwNVEQ7ONab62rA1GxbDl4hpy8IhxsbRjYLZShvTroagWZlwv4c8MBElKzcbS1YfqIXvy0YhezRvXW7X/ljqOcvJBEbmEJSmsLurf3Z+KgcExNTCivrOL5Txbxr/vHEODpAsDLXy7BzMyEtx6dCsC5hDS+W7qDT1+4GxOFgm2HzhJ56iLZeUVYmpvRKdCTacN7YGVhzoVL6bqa1qPv/QbAuAFdiLmUQW5BCSu2H2XFdu1aZd+/Opey8kr+3nyQ6Pg0ymqWeBnSsz3DenWkMTK0X9KgXepk3IAu/Lp6L1l5Rbg52nIqJpl1e0+Slp2HrY0VPTsGMH5gF0wU2i/1Q6fj2HEkmozLBZiZmBDs48qMEb30Zquvq6pazU81s2w8dfcI3XI5da3aeZyc/GLeenSK3n5cHVT07Oivu93csWtrPY/PHMaaXcfJuFyAh7M9946NwNddW8sqLi3n782HuJicSUlZBU52Skb06ag3k4ckSWw7dJY9xy+QV1iCjZUFvTsHMmVId91rU1sreu2b5QD899d1AAT7uDJxUFc++2sz/31qhu5c1z7P0xeTeX3+pAbP1dHoBDyd7XGwtal3X0RYEAeiYnVLXqnVGg6diWNg11DW1yxqChDi666dMUSt1i14HJ+SxfThPdl19Lxuu8zLBRQUlxJaM4NMbQvCg5MHsWz7EXILignwcuG+cf30ZjfqEuLNF4u2UFlVrVerFG4ucebbsH7hwRyIitV9KWn/H0R2fpHedntPxLB29wlmjeqNr7sjaVn5/LlhPwq5nCE926ORJL5fthOVjSX/njuOqmo1S7Yepkqt1tuPmakp943vh53SivScAhZtjMRUIWfi4G5YmJni6+ZIzKUMAjxdyMotpLSikuKyCgqKS7G1saq5z1mXJGQy7dIsTnY25BaU8M+WQ/yz+RDzJg0k0MuFGSN6sXrXcd55XJskzc1MGdqzA+8uWE3fLsEM7B6qi2317uOkZuXx+MxhqGwsyckvorj02ha1NDPRflzUag1n41L5ZfUeZo7sRbCPK7kFJSzaGEm1Ws304T0BqFZrGD+wK26OthSXlrNy5zF+XrWHf90/pt6+yyoq+W7pDiRJ4vn7RtebCR+0Kw0cjU6gV8eABhOlqcmVj7Ohx16+/QgzR/TGTmnF+r0n+eaf7bz7xDTMTE2oqlbj4+bIqIhOWJibcT4hjb82ROKgsqadvwcAq3YdZ8+x80wfrj0PxaXlJGXkNnj+Xpo3ng9+XcdTd43Ay9UeE4UCa0tznO2VHDwdx6iIzrrneej0RYY30dx8MSlTt77a1Xp3CmDrwTNk5xXibK/iVGwy5qamhPi66SW5UF83qqrVJKRmE+zjRkJqNjaW5vTpHMjSrYcpLC5DZWPJhUsZmJoo8K+zdE2VWs26vSe5f3w/zExNWLLlMD8s28GrD03UzVXr6+6EWiMRn5KlO1/CzSeaK9uwnh0DuJR+mczcQgqKtQs71v66rWvDviimDutB9/Z+ONkpCQvxZlTfzuw+rv01ey4+jczLBcyd0B9vN0cCahKMRqM/I9y4AV0I8nbFyU5J5yAvxvTtzJHoBN39Ib5XmodiLmUQ5OWKn4eTXlmIr5tu+2G9OtLOzx0nOyUhvm5MHdqdY+cS0UgSJgoFluamutqWrY0VFmamWFuaI5PLMDc31ZUD5BaU4OPmiL+nM462NoT6uutdc2lOXmEJWw6ewV5phaujio37TzGiTyf6dgnG2V5FqJ87U4Z2Z+/xC7olbvqFB9M5yAtneyX+ns7cM7oPF5Mz9WaHBygsKdddS3r67hENJjjQ1qxKyytxc7JtNl5Djz22fxc6Bnri6WLP/RP6U1VdzeEz8YC2yXtkRCe83RxxtlcyoFsoXdv5cOSs9jUtr6xi+6GzTBnSnX7hwbg4qAjwcmFwj3YNxmRjpb02Z2Npjq2NlW6+xX7hIURGXdRtFx2XSlFpOb2bWDYmt6AYO5uGZ8+3tjQnLNib/Se1+6z9ccdVlypdHFTYq6y5kFgzYfSldIJ93TA3M8XHzVE3kXTMpXQCvVz0ml01GomZI3sR5O2Kj5sj8yYNIDU7n/OJ6bptzExNsDQ35XIra0K+04iaXBtmbWlOeKgPB6JisTI3I8TXrV7zTlFJOXmFJfy14QCLN0bqytV1rjtlXC7AVmmlV3vwc3eqt7rCsXOJ7DgcTXZeIRWV1WgkSS8Rhvi6sevoedRqDTFJGYT4uVFZVU3MpQy6hPhwKT2HKUO767Y/n5jOpgOnyMgpoKyiEo1GolqtobC4TLe0kaEGdgvlxxW7uJRxmfb+HoQFe+sl1IZUVFXzzEd/IqFdW87HzZFHpg/FRKEgKeMyiWnZbIk8rdteI0lUVaspLNYuuJmUfpl1e0+SkplLSXkF1JyK3MISvXP51eIteLs58sj0IbqFeBt0DbPMGnrs2qZjAAszUzxd7EnPydc+H42GTQdOc+xcIvlFpVRXq6lWa3TnLT07n2q1htAbrKVEdA5iza7jxKVkEejlwoGoWLqE+DS50HBVtbrJa339woP5Y91+BnYP5VxCGveMiSArr7DedqG+bly4lM54wom5lEHvToGA9r16ITGdHh38ibmUweAe7fUeJ5PJ8Pe4UrNztLXBzsaS9Jx82tc5H6YmJlRW6bd4CDeXSHJtXN8uwfy2Zh8WZiZMGFR/8c/aWse9YyII8HKpd7+h4lOz+HnlbsYNCKdjYC8sLcw4FZPE8prrYgCB3q5UqdUkpucQeymDoT07UFFVxV8bIolLyUIul+NX0+vuckEx3/yzjf7hIUwc2BVrS3OSMi7z86o9VKuv/UujU5AX7z85nTNxqZxPTOObf7bRrb0fcyb0b/QxZqYmuuYnlbUF5mamuvskSWL8gHC6NVAbtLG2oKKyii//3kI7Pw/mTRqA0sqC4rIK/rdwY734Owd7c+xcImlZeXi7NdwEV7tfKwszMnIKmnyu13Lspmw9eJZth84yc2RvPJ3tMDczZdWu4xTVrJJtLEprC8KCvTlwMhZXB23z4uMzhzX5GGsrC0qaGDrQzt8DmUzGb2v2Eurrjr3KusEkF+LrxqKNkZSUVZCQms1947S9kYN93Fiy9RDpOfkUlpTrVnTQY0An1tLyCpTWjSdroeWJ5so2rp2fOyYKOcVlFXSpWROrLpWNJbY2VmTnFeHioKr3B+DmaEtBUSn5NYtIAlxKz9FbeTouOQu7ms4Zfh5OuDqoyC3QbxqrvS6370QMZZVV+Lg5EODpTF5hCYfPxOtdj7uUnkO1WsOMET0J8HLB1dGWgmL9L1cThQJNA6tfmygUSJr65TZWFvTpHMjcCQO4b3w/Dp66SFV141/6MrRNWs72Sr0EB+Dt5kjG5YIGz5lCLifjcgHFpRVMHtKNYB833JzsKCppeDzcxEFdGdA1lM8XbSE543Kj8chlMnp08Ofw2fh6zY4AVdXVVFVXX9OxE1Kzdf+vqKwiLTsfNyc7QLu8S1iwN306B+qaLLMuX0mw7k52mCjkXEhIazTmumpf24Zes/5dQzh2LpG9J2JQWVs2ew3L29WBjJoaZ0PkMhkRYUHEXMqgb3jjS96E+rlTrdaw7dBZlFYWuvd8oLcL2XlFHD4Tj7mZSb0hD5Ik6RZ8BW3zaX5xGW6Odrqy7LxCqqrVTf5wEVqeqMm1cTKZjNfnT0JCarR5Z8LAcP7ZcghLCzM6BXmhVmtIzrhMflEpo/uF0T7AA1dHW35bu5fpw3pSWV3N0m1HkMtluiZLVwdb8otKOXQmjgBPF6LjUzkSHV/vWCG+bmw9dJaOAZ7I5XJd7e3QmTjGDwjXbedir0KSJLYfjqZrO18SUrPZfli/O7ajnQ1V1Wqi49PwcXPAzNQEM1MTHG1tuJicSa/CAExNFNhYWbBm9wl83Bxwd7ZHo9Fw4vwlnOyV1929fVz/LnyzZBsOtjZ0b++HQi4jNTufxLQcpg3rgYPKBhOFnF1HzzOoezsycvJZs/tEo/ubPKQbIPH5oi08d+8ovFwdGtxu0uBuxFzK4INf1zNpcFf8PJwwUSiIT81m84HTPDFr2DUde8P+KGysLLBTWrJ+bxQKhZxeNb00XR1tORqdwMXkTGwszdl59Dw5BcV4W2hjszA3ZWivDqzadRyTml67xaUVJGVcZlD3+tfllNYWmJooiI5PxdHWBlMThW6MW3t/D6wtzVm/9ySjIjo3O9avY4Anv6/bh1qjabSJd2z/Lgzp2R6rmmt/DXG0tcHJzoadR87pLR5a+4Ns55FzBHm71juGXC5jyZbDzBrZC1MTBUu3HcHD2Y72/ldqfLFJmTjZKXGtSZzCrSGS3B3Awty0yfv7dw3B3MyELZFnWLXzGGamJrg72ek6EMhlMh6dPoQ/1h/gg1/X4Whrw7ThPflh2U5dkggL8WZERCeWbj1MVZWa9gEeTBjYlcWbDuodK8TXjc2RZwiucz0sxNeN2KRMvWtkXq4OzBzZi80HzrBm9wkCvFyYNqwHP63crdsm0MuFgd1C+XnVbkrKKhg3oAsTBnZlwqBw/toQyevfLqdareH7V+diopCzetcJcvKLdD3lmmsSa0rHQE+enDWcDfui2HrwDAq5HBcHla5jj9LagrkTB7Bq53F2HT2Hp4sD04f35Ku/tza6z8lDuiMBn/21udFEZ21pzr/njmNz5Bk2R57mcn4xluZmuDnZMrZ/GA62NshlMoOPPWVId5ZvP0Lm5QLcnex4YuZwXa11TL8wcvKL+OrvrZiZmNAnLIheHQN01+xqY7ayMGPDvijyCktRWVvQu3P9zk0ACrmcWSN7s35fFOv2RhHk7cIL92l7e8pkMvp2CWLdnpNENDD27WqdgjwxM1EQHZdK5+CGV7ZWKORNXterFeLrzoGoWEJ83K4qdyMhLUc3dKAuU4WCMf3C+HXNXvIKS/D3dOaRaUP0rlMfjU6gf1fjLpgrXDuxaKpwXVIyc3n3pzW8/MB43bgq4fZRO06udvaP1mDRxkiy8gp59p5RBm2/59h5jp2/xHP3Gra9sTQ2005dqVl5fL5oM28/OlVXWxVuDVGTEwxy4vwlzM1McHFQcTm/mGXbjuDlYo+PuN4g3KCy8krSc/I5eDqO+VMGGfy4/l1DKCmvpKy8stUlkoLiUuZOGNDq4roTiSQnGKSisoqVO4+RV1iClYV2OMKM4b3qDSMQhGv17dLtJKblaMf2NdL02BC5XM6YfmEtGNn16xDgeatDEGqI5kpBEAShzRJDCARBEIQ2SyQ5QRAEoc0SSU4QBEFos0SSEwRBENoskeQEQRCENkskOUEQBKHNEklOEARBaLNEkhMEQRDaLJHkBEEQhDZLJDlBEAShzRJJThAEQWizRJITBEEQ2iyR5ARBEIQ2SyQ5QRAEoc0SSe4OtC/yJJu3H2x2uy+//4eUtKybEFHDFi5ez5lzcbfs+K3J+s37OXjkdIP3nTkXx8LF669rv+989PONhCXcoKTkDBb8vgqA/IIi3v/ktwa3O332IktWbjP68Rct3UTU6RjA8O+F241YNBVITEpn267DXM4tQKGQ4+7qyJTxQ7CysrjVoTXq90XrKCwq4cmHZza5cGl+QRHf/rScV16YqyvrHxHe8gHWEX0hgT37j1NQUIKpmQkebs7Mmjq8RRdcXb1hD2fPxSGXyzFRKPD2cmXMiL6olNYtdsyWNG5Uv5t+zIWL15OSlo1CLkcml+HiZE/XsBC6dA4x+PHdwtvRqX3gNR+7ulrN1p2HOB+TSGVlNTY2VvTu0YEeXTtc875uJrVazUdf/MHDc6fg6GALwObtkZw6c5F/PT1b957/9a+1dO0cSnhYCPPnTG52v507BtG5Y1BLhn7Tvxduljs+yZVXVLJ01TYmjR1EcKA3lZVVxMYnG/04Go0Gudw4FeeCwmJS0rIwNTEhJTULby/XRo95q13OLWDD5v3cNW0Enh4ulJVXcCHmUoses/Z5D+rXjX59ulBWXsGyVdvZuuMQ0yYNbdFj1yVJ2vWIb+fV0yeOHUCn9oGUV1QSl5DC5u0HycktYNigni163H0Ho8jLL+KReVOxtDQn53I+eflFRj2GMT+TtRQKBe5uTqSkZuqSXHJKFlZWlmTn5OHi7EB1tZr0jMtMHNPw51Ywrjs+yeXmFmBqYkJIkA8A5uZmer88y8oqWL9lP4mX0rC0NGfwgO50bBcA1P+lun7zfmysLRnUvxu79x0nN6+QyqoqEi6lcc+MUShtrNm07QCpadkoFHL69elCr+4d0Wg07N5/gtNnY6lWawjrGMTQgT0a/QCeiY7D19sdlcqa09EX9ZLcOx/9zOjhEUQePo2jg4qCwhLUajUffPY7AE89PJOjJ85RXFKmqx2cPRfP3sgTFBSUYGtrw/RJQ3FytNM7ZlVVNVt3HuJCbBJyuYzePTrSp2fnZs9vZlYuTo52eHlqY7SytKBrl1Dd/fkFRazfvJ/U9GxsVTaMGtobP1+PevtJSc1k07aDXM4rwNLCnH59utA9vB1Ag+e6LksLc9qF+HHs5DkAEi+lsXnHIQoKi/F0d2bcqH7Y2SrZsecocpmMwQO6czm3gG9/WsbMKcMJDfbldHQc5y4kMHPK8CbPxeoNe7AwNyUzK5fU9GyemD9Dr/Z47OR59uw/gUwGfXuHsXn7QV5/8UHda/fc43djY2MFwLc/LWPsyH74+bizesMenBxs6denCxqNhs3bD3LmXBxKG2tCg331nm/ipTS27jxMXkER7q6OTBgzADtbZbOvVVMszM3o2C4AhULO8tU76dOzE9ZWluw5cIITURcor6jE1dmBcaP64exkz77IkySlZJKSls26TfsY3L8bvXt0Yumq7SSnZqLRaAj082LsqH5YmJvVO156RjbtQ/x0rSnOTvY4O9nr7j97Pp5de49RVlaBn68H40b2w9LSnMSkdDZs2c/jD00HoLi4lM++Xax3jut+Pu6dOYbDx85y5Fg0xSVlODnacveMUVhZWpCRdZlN2yLJzs7DwV7FuFH9cXN1bPZceXu6kpSSSZfOIVRWVlFWXkGnDgEkp2Ti4uxAekYOFuamODrY1ou3rv2Hojh3IZF7Z44mJvYSZ8/Hc8+M0brHhAT5cPzkeVQqayaMGYinuzOg/Uxt2HKA1PQsbKytGD08Av+az9Tl3AJWrd9NTk4+7UJ80Wgk3fF27zuu+14oLStn5dpdpGfkIJPL6BDqz8ihfVAobr8rXHd8knNwsKWqupoNW/bTPtQfT3dnzMxMdfdv3HoAU1MTnn38LjKyclm0ZBMuzg44X5UEGnI+NpG7po1k5pThqNUaFvy+io7tA5gxeRhqtYbcvEIAIo+cJjUti4fmTEYmk/H38i1EnY7VSwZ1nY6Oo1f3DqiUNqxev5vRwyP0EmLCpTQemTcFuVxOSWkZ3/60nJeem9PgvpJTMtm0PZJZU4bj6eHC5dwCzBv40tm68xCVlVU8MX865RWV/PH3BlycHQjw8yQpJYONWw/wyLyp9R7n5upIemYOO/YcJTjAGw93JxQKhe7+FWt34u/ryV3TRhCXkMqSVdt58uEZWFnqNxXL5XLGjeqHm6sjqenZ/PXPJny8XHVffFef6xOnYnSPLS0r53xMIq4ujpSWlrNk1XamjB9EgJ8nu/efYOXaXcybPQFvT1fdda/klEzsbG1ITs0kNNiX5JQMfGp+TDR1LgDOnIvnnhmjcHFyoG4lLjM7lx27j3DfXWNxsFexct2uBl+T5hw9cY6UtCwef2g6lZVV/PnPRmxVNoD2C275mp3MnDIcTw9nDh09y6p1u5l77/jrOtbVQgJ9kCSJtPQcggO9cXa046E5k7AwN2fn3qOs3biXB+6bSP+IcOITU/V+BEqSRLsQP6aMH0y1Ws2yVdvZfzCqwVqhp7sL+w9FgQx8vNx0tSKA7Jw8Nmzezz0zR+PiZM/6zfvYuO0AUycMMeg51P18nD57kSPHopk5dThOjnZkZF5GIZdTUVHJ4qVbGDMygpBAH87FJLJ01XYef2g6CoWcDVv2Y6uyoV+fLvX27+3pyrZdhwFITc/Gw90Jb09XzkTH0b1re5JTM3U/+hqz98AJYuOSmT1rTIM/AnLzCjEzNeWFp+7l1JmLLKv53NR+f3QPb89d00aQkpqli9vS0pyVa3cREuTD3HvGcerMRdZv2U/nDvWbkyVJome3DgT4eVJaVs6ipZs5eeoC3bu2N+gctya3X1o2MgtzM+bcPY7KyipWrtvFJ1//xcatB1CrNWg0Gs7FJDBkQHdMTEzw8nChXagf584nGLRvPx93/H09kMlkpGfkUFVVzYCIcExMTDA3N8PdzQmAk6diGTKwB1aWFlhamNO7RyfOxTR8jMysXC7n5tMuxI8APw8kSSIuIUVvm/59umBuboapafO/YaLOxNA9vD1enq7IZDKcHO1Q1tQkakmSRNSZWEYM6Y2ZmSkqpTXdurTj3IVEQPsl1FCCA3CwVzF75hhyLufz94otfPLVX+zedxzQNrtmZecxsG84CoWCkCAf3F0diY2r31zs4e6Mu5sTMpkMLw8X/P08SEm90imm7rk2MdEm0T0HTvDRF3/wwy8rsbKyYOSQ3sTGJ+Ph5kRwoA8KhYKBfcPJyLpMQWEx3p4upKXnoFZrSErNIKJXZ5JSMgBITs3E28ut2XMB0CHUH3dXJxQKud6Pj/MXEmkf6o+bqyNmZqb07R3W7OvTkPMxifTp2RlrK0vs7VSE17lGduZcPO1D/fD2ckUul9OnZycys3MpLi69rmNdTS6XY2VlQXl5BQDtQ/2xtrJEoZDTPyKctIwc1Gp1g4+VyWSEdQzC1NQESwtzenXvSHJKZoPb9o/oQs9uHTgedYHvf1nOtz8tIzlVu+25C4m0C/HD090ZU1MThgzswbkLiQY3z9f9fESdiaVfRBecneyRyWS4uzlhbm5GbFwybq4OtAv2Qy6X07FdAKamCtIzcwAYO7JfgwkOwNvLldy8QkpLy7XvG09XvDxcdJ24klMzdT+YGrJr33EuJqRw78zRDSY4ABMTBf36hKFQKOjaJRSFQk5KWhZp6dlIEvTs1gG5XI6Ptxue7s7EJaaQX1BETm6+3uPsbG0a3L+1lSUhQT6YmChQKa3pGhZCUmrDr1Vrd8fX5ABcnB2YPH4wAOkZOSxbvQNnp/O0C/ZDktD70rdV2VBcYtgXRt1mqsKiEuxsbRq8PlNYVMxf/2yk9me/JEk42Kka3Ofp6Iv4+3rqajq1TWnBgT66bZTX0LmisKgU72Z+VZaWllNdreabn5bpyiSNhL9f/WbFhnh7ueLt5YokSSQmpbNs9XY83J2xtDTH2spCr2bX2PnNysljy/aDZGblolarqapW4+nhrLu/oQ4lA/t2rfdFVFxcqretiYkJNtaWFBeXYuvhgp2dDemZOaSkZjFqaB8iD5+mqLiU/Pxi3F0dDToXjZ3/4pIyvWNf/WPCUNr9XHmsSnXli6qwsJioM7GcORevK9NoNBQVl+qaQW+ERqOhtLQcCwtzAI5HnefQ0bMUFZWATIYkSZSVV2JjbdngY7fuPMyF2ETKyiuRJKnRjkByuZzePTrRu0cnKioq2X/oFEtXbee5x++mqLgUlerK41RKayRJorSswqDnoKz3uazflFtYVELCpTQ++uIPXZlarabIgB8LlhbmODrYkpyaSUpqJoP7d8fCwhwTEwWFRSWkpGY12slDo9Fw5PhZJowZ0GCLSi3tD4srnxuV0obi4jKQQW5egV7cGo0GP18PikvKGnxcQyoqKtm4LZLES2lUVFah0Wjw9XZv9rm3RiLJXcXdzYl2Ib5k5+TTrYsFMhnaD1XNB6OwsETXNGRqakJ19ZVfrSWlZVd9uK8kNJXKmoLCYiRJqpfoVDbWTJ88DFcXhyZjkySJs+fiKSuv4NNvFgHaa2WSJFFZWaVrZr2Wbg4qpTX5BcVNbmNlZYGJiYKnH53V6C9LQ8hkMvx9PfDz8SDncj4d2vlTUlqOWq3WffAKCovx9an/Ydq0NRJfHzdmTR2BqamJtju1pLd3g2KwsbEi4VKa7nZ1tZrikjJdAvD2dOV8TCKmNbVtD3dnDh09g4e7k64W09y5aCwSG2tLiopLdLev/sI0NTWhqub9JEkSpaXlje6nsOjKYwsLr7x+SqU13cPbMXJon8ZPwg2IjUtGJpPh4e5EfkERW3cc5v67x+Lm6khFZRUff/EHSLUvjP6ZOB0dR1JKBvPunYBSac2F2Ets332k2WOam5vRv08X9h+MoqysAqWNFQV1nnNhUQkymQwrS3PMTE2orq7W3VfSwDmsG5WtypqCgiJA/z2ntLEiKMCbmVOGNxtfQ3y8XElOySQzK093Hc/Lw5WTp2Ooqq7GvZFre3K5nLunj2LJym0ora3w9HBpcLuS0jLUao3uGllhUTE21pbI5XJcnByYP3dyvcfkFxQ1+LiGHDx6hvKyCh6eNwUrSwsOHT1Tr8XodnHHN1fmXM7n4JEz2l+iaC/MxlxMxsPdGblcTrtgP3btO0Z1dTWp6dmci0mkfagfoK0Bnr+QiFqtJjk1k/jE1EaP4+nujImJCfsPRlFdraaiopL0DG3TR5ewEHbuPUpxSRmSJJGXX0hScka9fSQlZ1BeXskj86by8JzJPDxnMk88NB0rSwsuxDbcY9HK0gK1Wt1oc1WXTsEcO3mO1LQsJEki53J+vS/f2mambTsPUV6h/QWenZOni78pSSkZnDwVo/vCTs/IISklAw83J2xVNrg42bM3Mgq1WkNsXDLpGTkEB3jX209lZRWWNb+GEy+lNXmumxIU4EVaRg4X41NQqzXsjTyBq4uD7oeLt5cbx06e13Xm8am9XVPbvZFzERriS/SFBDKzcqmsrCLysP64Nxcne86ej0ej0XD42FnKKyob3E+7ED8OHTlDaWk5eflFnDwdq7uvU/tAos8nkJySiSRJVFRUci4m8XpOlZ7yikqiLySwYcsBenfviLWVJZWVVchk2h9BarWGPTXN0LWsrSwoqPMDqrKyChMTBRYW5pSUlHHwyJlGj3fo6BmSUjKorq5GrVZz5Hg0drY2WFlZ0C7Uj/MxiaSlZ1NdXc2ufcdpF+KLXC7HwV5FSWk5ySmZVFVVc+DQqSafV1inEPYdPEXO5XwkSSI9I4eKikqCg3xIz8gh5mISGo2GqqpqYuOSqKysMuh8eXm6EnU2FkcHW12TtbenC0eOR+NZ893S6GM9XJg8bhBLVm4jMzu3wW2qq9UcOKT93Jw8HUN1tRovTxc8PZxRazQcjzqPWq2hulrNpaR0impqrI72tnqPa+wHbmVlFSamJliYm5GXX8TxqAsGPe/W6I6vyZmZmZKcmsmBw6eorKzC2sqSLp2CCasZkzJmRF/Wb9nPZ98uxsrCgrEj+uo6O/Tu0Ynlq3fwvy//wt/Pg3ZX9XKrSy6Xc9e0EWzceoDIw6cxMVHQPyIcdzcn+vbqzL5IDb/+uZbSsnLsbJX0j6jf3n86Oo6O7f2xt9NvXunaJZQz5+IaHEdjZmZKRK/OfP/rCjQaiSeu6sXl7eXKiKF9WL1hD0VFpdjZ2TBt4tB6TWkjh/Zhx56j/PDLCioqq3B0sGXYwB6ANvmu37Kfxx6cVu/4FuZmnItJYNvuw6irNSiVVgzu101XW5syYQjrN+/jk6//wlZlzYwpwxscnzhscE/Wb97Hzj3HCAzwJKiBRGgIaytLZkwexpYdBykoLMHDzYkp4690WPDxcqWyskovydW93dy5uNr6zfuxVVnTPyIcNxdHhgzowaKlm5DJZPTp2YmLdYarjBzam9Xr9xB56BQ9u3fEwb7hJuvu4e3JzsnnmwVLUSqt6dQhkOSaa4f2dkqmjB/M1p2HyMktwMzUhEB/L9qH+F3X+VqzYS/rNu1DLpPh7GzP4AHddNcAXZwd6BoWyg+/rMDMzJSB/brqPbZHt/as2bCX/YdOMahfV8I7hxAbl1TzWtsQ1jGIqDOxDR0WExMTNm2LJC+/CIVcjpurIzNqalUuTvaMGdGXlWt3UVpejp+PtnclgIWFOSOH9GbJym3az1ifLk1OKNC5QyClpWUsXraF0tJynJ3suHv6KCwtzblr2ki27DjI6g27USgUeHu66prs6r6uDfHxcqW0tByvsCs1MS9PbVlzlwcAAvw8GT08gsVLN3P/3ePq3e9gr6KioopPvvoTpVLbElTbGnLXtBFs3n6QHXuOIkNb6x43qj8AUyYMZvX63Rw4dJp2Ib74NdBqAtCre0eWr9nBR1/8gZOjHaHBvmRkNv9DrjWSqUuTpeY3EwTB2C4lp7Nmwx6eemTWLYvhnY9+1nWvF24PTQ07EOq745srBeFmio1LorpaTWlZOXv2n9CNzxQEoWXc8c2VgnAznTkXz8q1u5DL5QT4ezKoX7dbGs/Avl2b30gQbmOiuVIQhP9v78y/orzyPPzUWxtFgaAIsi9BUFEEIeCKGPeFVqOZxE7GTjKd6T6TOX1Oz8wvc+Yv6HN6zvTp9JlJ57RJxjadaEbjDooGNYiAcVdUFhFQQPatiqL2+aHgtSpVQOGSRHKf34C36n25t8573/utez+PQDBpEeVKgUAgEExaxCD3HPnw4wO0tHb80JfxwuGuH/m++d0fdmM0mn6Qc7vzvNrA6XTyl/89RP+AcczjGppa+b9DXz/z8wsE3zeiXInLm2YcNLkioZRKImeEkZOV5hV8+2NkRCmjlJSggLCpIcxLe4nc7Ll+Jay7B/9OlIamVvbsLZTjw/SBASTGR5O3JPOpA4GfBy9yPz8rqu7UU1v/gK2b8sc9dtfuw2zemEdEuHdIQWdXL6fPXORhazsKhYLkxBjWr1kib5C3Wm0cLSql5l4T+kAd61YtkhfZXL9ZQ+XlKnp6BtDrA1iycD5ZGa6wbYfDwYEjZ2huaWfAMOgRWC0QPAli4ckwO3dsJDY6AuOgibs1jRw6fo7V+TkvRCDpiFLGYrHyoLmNE6fKaW7tYPvm56+VCZsWwvvvvYbD4aCnd4Bvyq7y8V+P8N7bW+QN1j8mXuR+fhZcu1lNbvY8v45Nm53EtZs1PtNTzBYrc2YnsfVnK5AUCo4WlXL6TCUF6/MAOFN6CavNxr/+85s8bGln/+ES3n/vNYL0Omx2BxvXLiU6cjqd3X18treQ6WGhxMdGAq49Zotz0/n0s6PP7h8X/GQRg9x30AfqyM6cjc1m48z5yyzImIUkSaNqN5xOJ0WnLnC7+j5Oh5PpYaH84uebUColPvjzPrZtfoXY6AgMRhOHjp2lubWDhNhItAEapoVOkbU8Pb39mC1WGhpbiYoMY/vmleh95P+NhUajJjkplm2bX2HXXw+zdFEXkRFhXLl+l/LKmxiMJqZODWb96sXEx0Zys6qOW7frUCgUlJZfY8H8WaxbtYjC4jKqaxux2uzERkdQsH7ZuLJRSZIImxbC1oJ8du0+TOW3t1i7ynVzvHi5Sk7wmDUzgfWrF6NWq+js6uVoUSntnT1o1Cpys+eydFGG1z6g6tpGiksqMFusLF+ygNNnv+X997YTGhLMB3/eNxzke5dB0xA5C9JYkZf9xP3srrtxf2+j0cSKvGxiosI5UlSKwThI3uJMWbEzvn5Hw6O2Lh61d5GUEM2rBSsm1Aaj6YFGpLhrVy7kXNkVlJLEhjVLfM5ObTY7TQ/beG3LKvl3FouV02cvUlPXhNVqIyU5Ts5xjY+dwdET5322X0xUuKx2AVcgQXFJpfzzrTv1vLFtDRqNmpcSY4iNDqe6tpHszNmyIglcG7uTEmJobukgPjZSzqwUCJ4VYpAbhdSZCRSXVNLV3ceUYP2o2o37jS20POrkN796HbVaRcujTnw5MotOXWBqaDA7tq/lQXMbX+wvZqlbCn11bRNv/t06Xtuyki8Pnqbi0i1ZQfLRp1+xYc0S+Ul3PKIipxMyRc/D5jYiI8IIDgrk73dsIDgokMvX7nLw6Fl+8+vXSZ87k/rGFq9yZVxsJKvyc5AkiWMnznPqTKXfs0KFQkHKzHjuDSd5VN2p5+qNGnbu2EigLoBDx89xvuIar+S9zLmyKy7tx1sFWCxWWT3kjtFo4tDxc7z+6mriYmZQXFLhlXJfV/+Af9i5mcHBIf6y+xDz0pK9fHij4d7P7r4y9/f+5S+20NXdx+7Pj5GSHM87bxbQbzDyyZ4jzJ+bQmBgwLj6nTvV93nr9fVMCdaz+4vj3KiqIztztl9tMJYeCFzBwb29A/z2n3ZQdbeewuILPge57h6XRsk9+Le4pAKDcYhfvfsqWo2G5tbHZoewsFA6u3r9kos+aG4jfHoo4HIwGo0mItzaM2L6NDq7erxe53A4aG5tf+7Wa8FPF7HwZBSCg1yzqKEhy5jaDaVSkm9OIxqY794QHA4H1bWNLF+yAJVKSVJCNAlxntE+SYnRxMXOQKlUMic1iXa3zLpfv7vN7wFuhCB9IKYhV/ZhSnI8IVOCkCSJnKw0LFbrmKHM6WnJsopk8cL0UXUooxGs1zE0fO5rN2tYtjiDkClBqNUqli6cL2tplJJEX78B4+CQh3rInbr6B8RGh5OUEI1KpSTPR4xSbvZcOfk9akYY7R3eN9NRr9Wtn32Rmz2XAK2GmKhwgvQ60mYnodNpmRE+jdCQYDnzcFz9zuwkwqdPRavVkJocL/evP20wlh5ohLxhXdG8OckYB00YB70Xz5jNVjRu+iWn08mNqnusW7WIQF0ASqXk8TnTDgd+m81j5zW2Purk28u3yRvec2exWlEoFB6qJ41WjcVi83ptyTeXmBKsJzkpZsxzCARPipjJjcKAwXWTCAjQ8KB5dO3GnNREFsyfxeHCc5hMFrIyZpG/zHOD70g4cbCHZsWz/KcPfFyaVKmVWK3eN4SJYDAOogtwPbHfrW2gtOwaPX0DgEujYTINwSjZiKUXrnL9Vq2c4O6vp2uEAaOJgOFz9w8YOVZ0nuMny1x/dDrlh4BV+TlyBmRoaDCr83O8DAQGo8mj3YKCAr0sDu5lXbVahdXqX4guePazL9zfW6VSefSTWqXCYrX5pd/xeJ1aRd/w6ka/2mAMPZBe71KnjMzOJMnlsPP1+dFq1Visngn9drt9VKeYeTiMWKtV+/w7QE9vP/u+OkXBhmXyzE2jVuN0OrFabfJAZzFb0Wg8bzeXrt6muraJd98q8KmgEgieBWKQG4WaukZ0Otfs4FFb15jajcW56SzOTae7p589ewuJi50hl6kAOXB4wDAoBx8PGIzPbWFGa1snff1GYmNmYLPZOXj0LG9sW0NifBSSJPH7P+7BtwwFGptauXK9mp07NjI1NJi2jm4+2eP/AgCn00ntvSYShmcEwUGBrFz+ss/yWXCwni2b8nE6nVy7WcPBY2f57fs/9zgmSK+joalV/tlgGMTpfHYLgt37+Ul5GhWRX20whh5oIm0xbWoIQ0MWzGYLWq1Gdvn19Rt8robt6u5jeljoqKVKg2GQz788yfIlC5idkij/XqfTotfr6OjsIXr4e7v2zh6Pz0DV3XrKKm7w9pubfAZyCwTPClGu/A6DpiGuXq/m3Pkr5C/NQpKkMbUbLa0dtD7qxOFwoNWokSSF11OpJEmkzoyn9MJV7HY7DY0tNE2wBOgPFouV+oZmvjpyljmzEomMCMNut2O3O2TJ6oXKG/ITOrhu0O6lS7PFilIpodNpsVislJVf9+vcDoeD7p5+Dhd+Q1+/gYU5rsUDmempnK+4Tk+vaxY5MGCUvVR3qu9jMAyiUCjQajQ+n+aTX4rjYUs7DY0t2O12zlf4dz3j4aufn5Sn0e/40wbj6YH8RaVSujxnw4bnkesuLqnEZDJjtzs8StNNDx6RnOi7jDhktvD5/pOkz51JlttCkhHmzXmJ0vJr8mfyYUu7PMjdu/+QE6fL2bF9rc/B1Wazy044m93u4YcTCCaKmMkNs2dvIQqFAqVSIjIijM0blzN7WE8SoNWMqt0wW6yc/Lqc3j4DGo2azPRUkhK8jdkb1izh0LGz/OcHfyM+bgapyfEoVUqv43zx4ccH2LR2KfFxvr+XO1d2hfPl13HiJGxaCFkZs8jNngu4hJOrV+Tw2b4iFAoFOVlpHqWvjPRUDhz+mt//cQ8Z6SmsXpFL1Z0IPvhwH4GBASx8eS7VdU2jXltXdx+/+8NuwOWuS0yI4pc7H28fmJeWzJDZwhf7T8oz2ZysNJKToLmlgxOnyzFbrEwNncLmjcu93j9Ir2PLxuUcKSrFYrWStzgTSVJ42I0nwlj9/DRMRL/jjj9tMJ4eaCJkzk/l1p16WVW0duVCTp25yIefHMBut5OaHC9rhW5X3+dnG/J8vk91bSNt7d109/Rz4eJjZ9u//8vbAKxYls3RE6X8139/jj4wgK2b8mWhcFnFDYaGzHz6t8cVgvS0mWxa59Ll/M+u/fL3jX/66EsAYUoQPDFiM/gPxJ69hcyfl0LGvJQf+lJeKPr6Dfzpoy/5j39756lmXz9VnE4nu3Yf5o3ta8bcFtLY1Erl5aonNmMLBD8WxEzue6K9swdJoSBsWgjVdY08bGmX9yMJxube/YeyaLLkm0ukJMeJAe4JUSgU/OM7W8c9LiE+ymsBjEDwIiIGue8J85CFg8fOYhw0ETIliFcLVnjZtwW+aWhq5asjZ3ACcTERsuVYIBAIxkOUKwUCgUAwaRE1H4FAIBBMWsQgJxAIBIJJixjkBAKBQDBpEYOcQCAQCCYtYpATCAQCwaRFDHICgUAgmLT8PyrMiIZHOoIhAAAAAElFTkSuQmCC\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# limit plot to only 2020 year plant records, and plot relationship between peak capacity and acreage\n",
    "\n",
    "df_2020 = df.loc[(df.Year == 2020)]\n",
    "\n",
    "x = df_2020[\"MWp (Megawatts Peak Capacity)\"]\n",
    "y = df_2020[\"Acres\"]\n",
    "# use a Solarize Light stylesheet from matplotlib\n",
    "with plt.style.context('Solarize_Light2'):\n",
    "    # use a scatter plot\n",
    "    plt.scatter(x, y)\n",
    "    plt.title('Does more acreage mean a higher peak capacity?\\nTop Solar Plants in 2020 shown', pad=20)\n",
    "    plt.xlabel('Megawatts Peak Capacity (MWp)', fontsize=14)\n",
    "    plt.ylabel('Acres of Solar Power Plant', fontsize=14)\n",
    "    # add a trend line using numpy\n",
    "    z = np.polyfit(x, y, 1)\n",
    "    p = np.poly1d(z)\n",
    "    plt.plot(x,p(x), color=\"gold\") # color the trend line gold #\"y--\") # color the trend line yellow    \n",
    "    # add a source footer\n",
    "    plt.annotate(\"Source Article: SolarPower.guide | Data Source: Wikipedia\\nDesign: Data Design Dimension (c) 2021\", (0,0), (0, -50), xycoords='axes fraction', textcoords='offset points', va='top', color=\"gray\", size=11.5)\n",
    "     \n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Did we make more power per acre in 2020 than in 2016?\n",
    "\n",
    "The real question becomes, are the top power plants become more efficient, or are just bigger?\n",
    "\n",
    "To see if a time based trend has developed over the years these peak capacities were recorded, the Megawatts Peak Capacity of each power plant was divided by the plant's number of Acres, for a MWp by Acre measurement.\n",
    "\n",
    "A more modest, but more meaningful, trend shows that the top 20 power plants were indeed making an increasingly higher peak capacity of solar energy per acre over this six year timespan. "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 115,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# plot over time the relationship between peak capacity and acreage (MWp/Acre by Year)\n",
    "\n",
    "x = df[\"Year\"]\n",
    "y = df[\"MWp/Acre\"]\n",
    "# use a Solarize Light stylesheet from matplotlib\n",
    "with plt.style.context('Solarize_Light2'):\n",
    "    # use a scatter plot\n",
    "    plt.scatter(x, y)\n",
    "    plt.title('Are We Making More Peak Capacity Per Acre?\\nTop 20 Solar Plants shown 2016-2020', pad=20)\n",
    "    plt.xlabel('Megawatts Peak Capacity by Acre Over Time', fontsize=14)\n",
    "    plt.ylabel('MWp by Acre', fontsize=14)\n",
    "    # add a trend line using numpy\n",
    "    z = np.polyfit(x, y, 1)\n",
    "    p = np.poly1d(z)\n",
    "    plt.plot(x,p(x), color=\"gold\") # color the trend line gold #\"y--\") # color the trend line yellow\n",
    "    # add a source footer\n",
    "    plt.annotate(\"Source Article: SolarPower.guide | Data Source: Wikipedia\\nDesign: Data Design Dimension (c) 2021\", (0,0), (0, -50), xycoords='axes fraction', textcoords='offset points', va='top', color=\"gray\", size=11.5)\n",
    "    \n",
    "plt.show()"
   ]
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.8.3"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 4
}