Exploratory Data Analysis .ipynb

{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 4,
   "id": "ce17fa66-29a4-42ba-af06-db9af85e1470",
   "metadata": {},
   "outputs": [],
   "source": [
    "import pandas as pd\n",
    "import seaborn as sns\n",
    "import matplotlib.pyplot as plt"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "id": "6fae62c6-b269-4dd6-89ec-5b0210d9d1f6",
   "metadata": {},
   "outputs": [],
   "source": [
    "df =pd.read_csv(r\"C:\\Users\\BG COMPUTERS\\Videos\\Captures\\Pandas\\Reading files\\world_population.csv\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "id": "de1a7793-211c-4b47-847c-7557fadff188",
   "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>Rank</th>\n",
       "      <th>CCA3</th>\n",
       "      <th>Country</th>\n",
       "      <th>Capital</th>\n",
       "      <th>Continent</th>\n",
       "      <th>2022 Population</th>\n",
       "      <th>2020 Population</th>\n",
       "      <th>2015 Population</th>\n",
       "      <th>2010 Population</th>\n",
       "      <th>2000 Population</th>\n",
       "      <th>1990 Population</th>\n",
       "      <th>1980 Population</th>\n",
       "      <th>1970 Population</th>\n",
       "      <th>Area (km²)</th>\n",
       "      <th>Density (per km²)</th>\n",
       "      <th>Growth Rate</th>\n",
       "      <th>World Population Percentage</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>36</td>\n",
       "      <td>AFG</td>\n",
       "      <td>Afghanistan</td>\n",
       "      <td>Kabul</td>\n",
       "      <td>Asia</td>\n",
       "      <td>41128771.0</td>\n",
       "      <td>38972230.0</td>\n",
       "      <td>33753499.0</td>\n",
       "      <td>28189672.0</td>\n",
       "      <td>19542982.0</td>\n",
       "      <td>10694796.0</td>\n",
       "      <td>12486631.0</td>\n",
       "      <td>10752971.0</td>\n",
       "      <td>652230.0</td>\n",
       "      <td>63.0587</td>\n",
       "      <td>1.0257</td>\n",
       "      <td>0.52</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>138</td>\n",
       "      <td>ALB</td>\n",
       "      <td>Albania</td>\n",
       "      <td>Tirana</td>\n",
       "      <td>Europe</td>\n",
       "      <td>2842321.0</td>\n",
       "      <td>2866849.0</td>\n",
       "      <td>2882481.0</td>\n",
       "      <td>2913399.0</td>\n",
       "      <td>3182021.0</td>\n",
       "      <td>3295066.0</td>\n",
       "      <td>2941651.0</td>\n",
       "      <td>2324731.0</td>\n",
       "      <td>28748.0</td>\n",
       "      <td>98.8702</td>\n",
       "      <td>0.9957</td>\n",
       "      <td>0.04</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>34</td>\n",
       "      <td>DZA</td>\n",
       "      <td>Algeria</td>\n",
       "      <td>Algiers</td>\n",
       "      <td>Africa</td>\n",
       "      <td>44903225.0</td>\n",
       "      <td>43451666.0</td>\n",
       "      <td>39543154.0</td>\n",
       "      <td>35856344.0</td>\n",
       "      <td>30774621.0</td>\n",
       "      <td>25518074.0</td>\n",
       "      <td>18739378.0</td>\n",
       "      <td>13795915.0</td>\n",
       "      <td>2381741.0</td>\n",
       "      <td>18.8531</td>\n",
       "      <td>1.0164</td>\n",
       "      <td>0.56</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>213</td>\n",
       "      <td>ASM</td>\n",
       "      <td>American Samoa</td>\n",
       "      <td>Pago Pago</td>\n",
       "      <td>Oceania</td>\n",
       "      <td>44273.0</td>\n",
       "      <td>46189.0</td>\n",
       "      <td>51368.0</td>\n",
       "      <td>54849.0</td>\n",
       "      <td>58230.0</td>\n",
       "      <td>47818.0</td>\n",
       "      <td>32886.0</td>\n",
       "      <td>27075.0</td>\n",
       "      <td>199.0</td>\n",
       "      <td>222.4774</td>\n",
       "      <td>0.9831</td>\n",
       "      <td>0.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>203</td>\n",
       "      <td>AND</td>\n",
       "      <td>Andorra</td>\n",
       "      <td>Andorra la Vella</td>\n",
       "      <td>Europe</td>\n",
       "      <td>79824.0</td>\n",
       "      <td>77700.0</td>\n",
       "      <td>71746.0</td>\n",
       "      <td>71519.0</td>\n",
       "      <td>66097.0</td>\n",
       "      <td>53569.0</td>\n",
       "      <td>35611.0</td>\n",
       "      <td>19860.0</td>\n",
       "      <td>468.0</td>\n",
       "      <td>170.5641</td>\n",
       "      <td>1.0100</td>\n",
       "      <td>0.00</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "   Rank CCA3         Country           Capital Continent  2022 Population  \\\n",
       "0    36  AFG     Afghanistan             Kabul      Asia       41128771.0   \n",
       "1   138  ALB         Albania            Tirana    Europe        2842321.0   \n",
       "2    34  DZA         Algeria           Algiers    Africa       44903225.0   \n",
       "3   213  ASM  American Samoa         Pago Pago   Oceania          44273.0   \n",
       "4   203  AND         Andorra  Andorra la Vella    Europe          79824.0   \n",
       "\n",
       "   2020 Population  2015 Population  2010 Population  2000 Population  \\\n",
       "0       38972230.0       33753499.0       28189672.0       19542982.0   \n",
       "1        2866849.0        2882481.0        2913399.0        3182021.0   \n",
       "2       43451666.0       39543154.0       35856344.0       30774621.0   \n",
       "3          46189.0          51368.0          54849.0          58230.0   \n",
       "4          77700.0          71746.0          71519.0          66097.0   \n",
       "\n",
       "   1990 Population  1980 Population  1970 Population  Area (km²)  \\\n",
       "0       10694796.0       12486631.0       10752971.0    652230.0   \n",
       "1        3295066.0        2941651.0        2324731.0     28748.0   \n",
       "2       25518074.0       18739378.0       13795915.0   2381741.0   \n",
       "3          47818.0          32886.0          27075.0       199.0   \n",
       "4          53569.0          35611.0          19860.0       468.0   \n",
       "\n",
       "   Density (per km²)  Growth Rate  World Population Percentage  \n",
       "0            63.0587       1.0257                         0.52  \n",
       "1            98.8702       0.9957                         0.04  \n",
       "2            18.8531       1.0164                         0.56  \n",
       "3           222.4774       0.9831                         0.00  \n",
       "4           170.5641       1.0100                         0.00  "
      ]
     },
     "execution_count": 6,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.head(5)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "id": "32a02fa6-4a8e-4b36-8662-f1368d1a606e",
   "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>Rank</th>\n",
       "      <th>CCA3</th>\n",
       "      <th>Country</th>\n",
       "      <th>Capital</th>\n",
       "      <th>Continent</th>\n",
       "      <th>2022 Population</th>\n",
       "      <th>2020 Population</th>\n",
       "      <th>2015 Population</th>\n",
       "      <th>2010 Population</th>\n",
       "      <th>2000 Population</th>\n",
       "      <th>1990 Population</th>\n",
       "      <th>1980 Population</th>\n",
       "      <th>1970 Population</th>\n",
       "      <th>Area (km²)</th>\n",
       "      <th>Density (per km²)</th>\n",
       "      <th>Growth Rate</th>\n",
       "      <th>World Population Percentage</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>36</td>\n",
       "      <td>AFG</td>\n",
       "      <td>Afghanistan</td>\n",
       "      <td>Kabul</td>\n",
       "      <td>Asia</td>\n",
       "      <td>41128771.00</td>\n",
       "      <td>38972230.00</td>\n",
       "      <td>33753499.00</td>\n",
       "      <td>28189672.00</td>\n",
       "      <td>19542982.00</td>\n",
       "      <td>10694796.00</td>\n",
       "      <td>12486631.00</td>\n",
       "      <td>10752971.00</td>\n",
       "      <td>652230.00</td>\n",
       "      <td>63.06</td>\n",
       "      <td>1.03</td>\n",
       "      <td>0.52</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>138</td>\n",
       "      <td>ALB</td>\n",
       "      <td>Albania</td>\n",
       "      <td>Tirana</td>\n",
       "      <td>Europe</td>\n",
       "      <td>2842321.00</td>\n",
       "      <td>2866849.00</td>\n",
       "      <td>2882481.00</td>\n",
       "      <td>2913399.00</td>\n",
       "      <td>3182021.00</td>\n",
       "      <td>3295066.00</td>\n",
       "      <td>2941651.00</td>\n",
       "      <td>2324731.00</td>\n",
       "      <td>28748.00</td>\n",
       "      <td>98.87</td>\n",
       "      <td>1.00</td>\n",
       "      <td>0.04</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>34</td>\n",
       "      <td>DZA</td>\n",
       "      <td>Algeria</td>\n",
       "      <td>Algiers</td>\n",
       "      <td>Africa</td>\n",
       "      <td>44903225.00</td>\n",
       "      <td>43451666.00</td>\n",
       "      <td>39543154.00</td>\n",
       "      <td>35856344.00</td>\n",
       "      <td>30774621.00</td>\n",
       "      <td>25518074.00</td>\n",
       "      <td>18739378.00</td>\n",
       "      <td>13795915.00</td>\n",
       "      <td>2381741.00</td>\n",
       "      <td>18.85</td>\n",
       "      <td>1.02</td>\n",
       "      <td>0.56</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>213</td>\n",
       "      <td>ASM</td>\n",
       "      <td>American Samoa</td>\n",
       "      <td>Pago Pago</td>\n",
       "      <td>Oceania</td>\n",
       "      <td>44273.00</td>\n",
       "      <td>46189.00</td>\n",
       "      <td>51368.00</td>\n",
       "      <td>54849.00</td>\n",
       "      <td>58230.00</td>\n",
       "      <td>47818.00</td>\n",
       "      <td>32886.00</td>\n",
       "      <td>27075.00</td>\n",
       "      <td>199.00</td>\n",
       "      <td>222.48</td>\n",
       "      <td>0.98</td>\n",
       "      <td>0.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>203</td>\n",
       "      <td>AND</td>\n",
       "      <td>Andorra</td>\n",
       "      <td>Andorra la Vella</td>\n",
       "      <td>Europe</td>\n",
       "      <td>79824.00</td>\n",
       "      <td>77700.00</td>\n",
       "      <td>71746.00</td>\n",
       "      <td>71519.00</td>\n",
       "      <td>66097.00</td>\n",
       "      <td>53569.00</td>\n",
       "      <td>35611.00</td>\n",
       "      <td>19860.00</td>\n",
       "      <td>468.00</td>\n",
       "      <td>170.56</td>\n",
       "      <td>1.01</td>\n",
       "      <td>0.00</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "   Rank CCA3         Country           Capital Continent  2022 Population  \\\n",
       "0    36  AFG     Afghanistan             Kabul      Asia      41128771.00   \n",
       "1   138  ALB         Albania            Tirana    Europe       2842321.00   \n",
       "2    34  DZA         Algeria           Algiers    Africa      44903225.00   \n",
       "3   213  ASM  American Samoa         Pago Pago   Oceania         44273.00   \n",
       "4   203  AND         Andorra  Andorra la Vella    Europe         79824.00   \n",
       "\n",
       "   2020 Population  2015 Population  2010 Population  2000 Population  \\\n",
       "0      38972230.00      33753499.00      28189672.00      19542982.00   \n",
       "1       2866849.00       2882481.00       2913399.00       3182021.00   \n",
       "2      43451666.00      39543154.00      35856344.00      30774621.00   \n",
       "3         46189.00         51368.00         54849.00         58230.00   \n",
       "4         77700.00         71746.00         71519.00         66097.00   \n",
       "\n",
       "   1990 Population  1980 Population  1970 Population  Area (km²)  \\\n",
       "0      10694796.00      12486631.00      10752971.00   652230.00   \n",
       "1       3295066.00       2941651.00       2324731.00    28748.00   \n",
       "2      25518074.00      18739378.00      13795915.00  2381741.00   \n",
       "3         47818.00         32886.00         27075.00      199.00   \n",
       "4         53569.00         35611.00         19860.00      468.00   \n",
       "\n",
       "   Density (per km²)  Growth Rate  World Population Percentage  \n",
       "0              63.06         1.03                         0.52  \n",
       "1              98.87         1.00                         0.04  \n",
       "2              18.85         1.02                         0.56  \n",
       "3             222.48         0.98                         0.00  \n",
       "4             170.56         1.01                         0.00  "
      ]
     },
     "execution_count": 7,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# to format the numeric values to 2 decimal point\n",
    "pd.set_option('display.float_format',lambda x:'%.2f' %x)\n",
    "df.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "id": "f42314bd-4c82-4998-a25c-811875eccaf9",
   "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>Rank</th>\n",
       "      <th>2022 Population</th>\n",
       "      <th>2020 Population</th>\n",
       "      <th>2015 Population</th>\n",
       "      <th>2010 Population</th>\n",
       "      <th>2000 Population</th>\n",
       "      <th>1990 Population</th>\n",
       "      <th>1980 Population</th>\n",
       "      <th>1970 Population</th>\n",
       "      <th>Area (km²)</th>\n",
       "      <th>Density (per km²)</th>\n",
       "      <th>Growth Rate</th>\n",
       "      <th>World Population Percentage</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>count</th>\n",
       "      <td>234.00</td>\n",
       "      <td>230.00</td>\n",
       "      <td>233.00</td>\n",
       "      <td>230.00</td>\n",
       "      <td>227.00</td>\n",
       "      <td>227.00</td>\n",
       "      <td>229.00</td>\n",
       "      <td>229.00</td>\n",
       "      <td>230.00</td>\n",
       "      <td>232.00</td>\n",
       "      <td>230.00</td>\n",
       "      <td>232.00</td>\n",
       "      <td>234.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>mean</th>\n",
       "      <td>117.50</td>\n",
       "      <td>34632250.88</td>\n",
       "      <td>33600710.95</td>\n",
       "      <td>32066004.16</td>\n",
       "      <td>30270164.48</td>\n",
       "      <td>26840495.26</td>\n",
       "      <td>19330463.93</td>\n",
       "      <td>16282884.78</td>\n",
       "      <td>15866499.13</td>\n",
       "      <td>581663.75</td>\n",
       "      <td>456.81</td>\n",
       "      <td>1.01</td>\n",
       "      <td>0.43</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>std</th>\n",
       "      <td>67.69</td>\n",
       "      <td>137889172.44</td>\n",
       "      <td>135873196.61</td>\n",
       "      <td>131507146.34</td>\n",
       "      <td>126074183.54</td>\n",
       "      <td>113352454.57</td>\n",
       "      <td>81309624.96</td>\n",
       "      <td>69345465.54</td>\n",
       "      <td>68355859.75</td>\n",
       "      <td>1769133.06</td>\n",
       "      <td>2083.74</td>\n",
       "      <td>0.01</td>\n",
       "      <td>1.71</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>min</th>\n",
       "      <td>1.00</td>\n",
       "      <td>510.00</td>\n",
       "      <td>520.00</td>\n",
       "      <td>564.00</td>\n",
       "      <td>596.00</td>\n",
       "      <td>651.00</td>\n",
       "      <td>700.00</td>\n",
       "      <td>733.00</td>\n",
       "      <td>752.00</td>\n",
       "      <td>1.00</td>\n",
       "      <td>0.03</td>\n",
       "      <td>0.91</td>\n",
       "      <td>0.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25%</th>\n",
       "      <td>59.25</td>\n",
       "      <td>419738.50</td>\n",
       "      <td>406471.00</td>\n",
       "      <td>394295.00</td>\n",
       "      <td>382726.50</td>\n",
       "      <td>329470.00</td>\n",
       "      <td>261928.00</td>\n",
       "      <td>223752.00</td>\n",
       "      <td>145880.50</td>\n",
       "      <td>2567.25</td>\n",
       "      <td>36.60</td>\n",
       "      <td>1.00</td>\n",
       "      <td>0.01</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>50%</th>\n",
       "      <td>117.50</td>\n",
       "      <td>5762857.00</td>\n",
       "      <td>5456681.00</td>\n",
       "      <td>5244415.00</td>\n",
       "      <td>4889741.00</td>\n",
       "      <td>4491202.00</td>\n",
       "      <td>3785847.00</td>\n",
       "      <td>3135123.00</td>\n",
       "      <td>2511718.00</td>\n",
       "      <td>77141.00</td>\n",
       "      <td>95.35</td>\n",
       "      <td>1.01</td>\n",
       "      <td>0.07</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>75%</th>\n",
       "      <td>175.75</td>\n",
       "      <td>22653719.00</td>\n",
       "      <td>21522626.00</td>\n",
       "      <td>19730853.75</td>\n",
       "      <td>16825852.50</td>\n",
       "      <td>15625467.00</td>\n",
       "      <td>11882762.00</td>\n",
       "      <td>9817257.00</td>\n",
       "      <td>8817329.00</td>\n",
       "      <td>414643.25</td>\n",
       "      <td>236.88</td>\n",
       "      <td>1.02</td>\n",
       "      <td>0.28</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>max</th>\n",
       "      <td>234.00</td>\n",
       "      <td>1425887337.00</td>\n",
       "      <td>1424929781.00</td>\n",
       "      <td>1393715448.00</td>\n",
       "      <td>1348191368.00</td>\n",
       "      <td>1264099069.00</td>\n",
       "      <td>1153704252.00</td>\n",
       "      <td>982372466.00</td>\n",
       "      <td>822534450.00</td>\n",
       "      <td>17098242.00</td>\n",
       "      <td>23172.27</td>\n",
       "      <td>1.07</td>\n",
       "      <td>17.88</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "        Rank  2022 Population  2020 Population  2015 Population  \\\n",
       "count 234.00           230.00           233.00           230.00   \n",
       "mean  117.50      34632250.88      33600710.95      32066004.16   \n",
       "std    67.69     137889172.44     135873196.61     131507146.34   \n",
       "min     1.00           510.00           520.00           564.00   \n",
       "25%    59.25        419738.50        406471.00        394295.00   \n",
       "50%   117.50       5762857.00       5456681.00       5244415.00   \n",
       "75%   175.75      22653719.00      21522626.00      19730853.75   \n",
       "max   234.00    1425887337.00    1424929781.00    1393715448.00   \n",
       "\n",
       "       2010 Population  2000 Population  1990 Population  1980 Population  \\\n",
       "count           227.00           227.00           229.00           229.00   \n",
       "mean       30270164.48      26840495.26      19330463.93      16282884.78   \n",
       "std       126074183.54     113352454.57      81309624.96      69345465.54   \n",
       "min             596.00           651.00           700.00           733.00   \n",
       "25%          382726.50        329470.00        261928.00        223752.00   \n",
       "50%         4889741.00       4491202.00       3785847.00       3135123.00   \n",
       "75%        16825852.50      15625467.00      11882762.00       9817257.00   \n",
       "max      1348191368.00    1264099069.00    1153704252.00     982372466.00   \n",
       "\n",
       "       1970 Population  Area (km²)  Density (per km²)  Growth Rate  \\\n",
       "count           230.00      232.00             230.00       232.00   \n",
       "mean       15866499.13   581663.75             456.81         1.01   \n",
       "std        68355859.75  1769133.06            2083.74         0.01   \n",
       "min             752.00        1.00               0.03         0.91   \n",
       "25%          145880.50     2567.25              36.60         1.00   \n",
       "50%         2511718.00    77141.00              95.35         1.01   \n",
       "75%         8817329.00   414643.25             236.88         1.02   \n",
       "max       822534450.00 17098242.00           23172.27         1.07   \n",
       "\n",
       "       World Population Percentage  \n",
       "count                       234.00  \n",
       "mean                          0.43  \n",
       "std                           1.71  \n",
       "min                           0.00  \n",
       "25%                           0.01  \n",
       "50%                           0.07  \n",
       "75%                           0.28  \n",
       "max                          17.88  "
      ]
     },
     "execution_count": 8,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# to summarize the data use the decribe function\n",
    "df.describe()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "id": "71122196-524f-420d-8168-96e326c49ec7",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Rank                           0\n",
       "CCA3                           0\n",
       "Country                        0\n",
       "Capital                        0\n",
       "Continent                      0\n",
       "2022 Population                4\n",
       "2020 Population                1\n",
       "2015 Population                4\n",
       "2010 Population                7\n",
       "2000 Population                7\n",
       "1990 Population                5\n",
       "1980 Population                5\n",
       "1970 Population                4\n",
       "Area (km²)                     2\n",
       "Density (per km²)              4\n",
       "Growth Rate                    2\n",
       "World Population Percentage    0\n",
       "dtype: int64"
      ]
     },
     "execution_count": 9,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# to run a data analyis, we need to know the number of missing/null values in the entire dataset\n",
    "df.isnull().sum()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "id": "24bc6277-716f-45b9-ae7e-c5a61ac3d9ae",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "<class 'pandas.core.frame.DataFrame'>\n",
      "RangeIndex: 234 entries, 0 to 233\n",
      "Data columns (total 17 columns):\n",
      " #   Column                       Non-Null Count  Dtype  \n",
      "---  ------                       --------------  -----  \n",
      " 0   Rank                         234 non-null    int64  \n",
      " 1   CCA3                         234 non-null    object \n",
      " 2   Country                      234 non-null    object \n",
      " 3   Capital                      234 non-null    object \n",
      " 4   Continent                    234 non-null    object \n",
      " 5   2022 Population              230 non-null    float64\n",
      " 6   2020 Population              233 non-null    float64\n",
      " 7   2015 Population              230 non-null    float64\n",
      " 8   2010 Population              227 non-null    float64\n",
      " 9   2000 Population              227 non-null    float64\n",
      " 10  1990 Population              229 non-null    float64\n",
      " 11  1980 Population              229 non-null    float64\n",
      " 12  1970 Population              230 non-null    float64\n",
      " 13  Area (km²)                   232 non-null    float64\n",
      " 14  Density (per km²)            230 non-null    float64\n",
      " 15  Growth Rate                  232 non-null    float64\n",
      " 16  World Population Percentage  234 non-null    float64\n",
      "dtypes: float64(12), int64(1), object(4)\n",
      "memory usage: 31.2+ KB\n"
     ]
    }
   ],
   "source": [
    "df.info()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "id": "ecaf0e56-8758-446c-b046-1f48f9624ddd",
   "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>Rank</th>\n",
       "      <th>CCA3</th>\n",
       "      <th>Country</th>\n",
       "      <th>Capital</th>\n",
       "      <th>Continent</th>\n",
       "      <th>2022 Population</th>\n",
       "      <th>2020 Population</th>\n",
       "      <th>2015 Population</th>\n",
       "      <th>2010 Population</th>\n",
       "      <th>2000 Population</th>\n",
       "      <th>1990 Population</th>\n",
       "      <th>1980 Population</th>\n",
       "      <th>1970 Population</th>\n",
       "      <th>Area (km²)</th>\n",
       "      <th>Density (per km²)</th>\n",
       "      <th>Growth Rate</th>\n",
       "      <th>World Population Percentage</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>229</th>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>230</th>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>231</th>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>232</th>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>True</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>233</th>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>234 rows × 17 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "      Rank   CCA3  Country  Capital  Continent  2022 Population  \\\n",
       "0    False  False    False    False      False            False   \n",
       "1    False  False    False    False      False            False   \n",
       "2    False  False    False    False      False            False   \n",
       "3    False  False    False    False      False            False   \n",
       "4    False  False    False    False      False            False   \n",
       "..     ...    ...      ...      ...        ...              ...   \n",
       "229  False  False    False    False      False            False   \n",
       "230  False  False    False    False      False            False   \n",
       "231  False  False    False    False      False            False   \n",
       "232  False  False    False    False      False            False   \n",
       "233  False  False    False    False      False            False   \n",
       "\n",
       "     2020 Population  2015 Population  2010 Population  2000 Population  \\\n",
       "0              False            False            False            False   \n",
       "1              False            False            False            False   \n",
       "2              False            False            False            False   \n",
       "3              False            False            False            False   \n",
       "4              False            False            False            False   \n",
       "..               ...              ...              ...              ...   \n",
       "229            False            False            False            False   \n",
       "230            False            False            False            False   \n",
       "231            False            False            False            False   \n",
       "232            False             True            False            False   \n",
       "233            False            False            False            False   \n",
       "\n",
       "     1990 Population  1980 Population  1970 Population  Area (km²)  \\\n",
       "0              False            False            False       False   \n",
       "1              False            False            False       False   \n",
       "2              False            False            False       False   \n",
       "3              False            False            False       False   \n",
       "4              False            False            False       False   \n",
       "..               ...              ...              ...         ...   \n",
       "229            False            False            False       False   \n",
       "230            False            False            False       False   \n",
       "231            False            False            False       False   \n",
       "232            False            False            False       False   \n",
       "233            False            False            False       False   \n",
       "\n",
       "     Density (per km²)  Growth Rate  World Population Percentage  \n",
       "0                False        False                        False  \n",
       "1                False        False                        False  \n",
       "2                False        False                        False  \n",
       "3                False        False                        False  \n",
       "4                False        False                        False  \n",
       "..                 ...          ...                          ...  \n",
       "229              False        False                        False  \n",
       "230              False        False                        False  \n",
       "231              False        False                        False  \n",
       "232              False        False                        False  \n",
       "233              False        False                        False  \n",
       "\n",
       "[234 rows x 17 columns]"
      ]
     },
     "execution_count": 11,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# To explore the dataset, lets examine the number of null values in each column\n",
    "df.isnull() "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "id": "385d6347-ad76-4bc3-9b8e-95ce46c8c1e7",
   "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>Rank</th>\n",
       "      <th>2022 Population</th>\n",
       "      <th>2020 Population</th>\n",
       "      <th>2015 Population</th>\n",
       "      <th>2010 Population</th>\n",
       "      <th>2000 Population</th>\n",
       "      <th>1990 Population</th>\n",
       "      <th>1980 Population</th>\n",
       "      <th>1970 Population</th>\n",
       "      <th>Area (km²)</th>\n",
       "      <th>Density (per km²)</th>\n",
       "      <th>Growth Rate</th>\n",
       "      <th>World Population Percentage</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>36</td>\n",
       "      <td>41128771.00</td>\n",
       "      <td>38972230.00</td>\n",
       "      <td>33753499.00</td>\n",
       "      <td>28189672.00</td>\n",
       "      <td>19542982.00</td>\n",
       "      <td>10694796.00</td>\n",
       "      <td>12486631.00</td>\n",
       "      <td>10752971.00</td>\n",
       "      <td>652230.00</td>\n",
       "      <td>63.06</td>\n",
       "      <td>1.03</td>\n",
       "      <td>0.52</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>138</td>\n",
       "      <td>2842321.00</td>\n",
       "      <td>2866849.00</td>\n",
       "      <td>2882481.00</td>\n",
       "      <td>2913399.00</td>\n",
       "      <td>3182021.00</td>\n",
       "      <td>3295066.00</td>\n",
       "      <td>2941651.00</td>\n",
       "      <td>2324731.00</td>\n",
       "      <td>28748.00</td>\n",
       "      <td>98.87</td>\n",
       "      <td>1.00</td>\n",
       "      <td>0.04</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>34</td>\n",
       "      <td>44903225.00</td>\n",
       "      <td>43451666.00</td>\n",
       "      <td>39543154.00</td>\n",
       "      <td>35856344.00</td>\n",
       "      <td>30774621.00</td>\n",
       "      <td>25518074.00</td>\n",
       "      <td>18739378.00</td>\n",
       "      <td>13795915.00</td>\n",
       "      <td>2381741.00</td>\n",
       "      <td>18.85</td>\n",
       "      <td>1.02</td>\n",
       "      <td>0.56</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>213</td>\n",
       "      <td>44273.00</td>\n",
       "      <td>46189.00</td>\n",
       "      <td>51368.00</td>\n",
       "      <td>54849.00</td>\n",
       "      <td>58230.00</td>\n",
       "      <td>47818.00</td>\n",
       "      <td>32886.00</td>\n",
       "      <td>27075.00</td>\n",
       "      <td>199.00</td>\n",
       "      <td>222.48</td>\n",
       "      <td>0.98</td>\n",
       "      <td>0.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>203</td>\n",
       "      <td>79824.00</td>\n",
       "      <td>77700.00</td>\n",
       "      <td>71746.00</td>\n",
       "      <td>71519.00</td>\n",
       "      <td>66097.00</td>\n",
       "      <td>53569.00</td>\n",
       "      <td>35611.00</td>\n",
       "      <td>19860.00</td>\n",
       "      <td>468.00</td>\n",
       "      <td>170.56</td>\n",
       "      <td>1.01</td>\n",
       "      <td>0.00</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "   Rank  2022 Population  2020 Population  2015 Population  2010 Population  \\\n",
       "0    36      41128771.00      38972230.00      33753499.00      28189672.00   \n",
       "1   138       2842321.00       2866849.00       2882481.00       2913399.00   \n",
       "2    34      44903225.00      43451666.00      39543154.00      35856344.00   \n",
       "3   213         44273.00         46189.00         51368.00         54849.00   \n",
       "4   203         79824.00         77700.00         71746.00         71519.00   \n",
       "\n",
       "   2000 Population  1990 Population  1980 Population  1970 Population  \\\n",
       "0      19542982.00      10694796.00      12486631.00      10752971.00   \n",
       "1       3182021.00       3295066.00       2941651.00       2324731.00   \n",
       "2      30774621.00      25518074.00      18739378.00      13795915.00   \n",
       "3         58230.00         47818.00         32886.00         27075.00   \n",
       "4         66097.00         53569.00         35611.00         19860.00   \n",
       "\n",
       "   Area (km²)  Density (per km²)  Growth Rate  World Population Percentage  \n",
       "0   652230.00              63.06         1.03                         0.52  \n",
       "1    28748.00              98.87         1.00                         0.04  \n",
       "2  2381741.00              18.85         1.02                         0.56  \n",
       "3      199.00             222.48         0.98                         0.00  \n",
       "4      468.00             170.56         1.01                         0.00  "
      ]
     },
     "execution_count": 12,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# we can check the data types in your data, the code below filters out all numbers/integers in this df\n",
    "df.select_dtypes(include ='number').head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "id": "6d5dd514-2818-49e1-8d01-445b1ed5356f",
   "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>CCA3</th>\n",
       "      <th>Country</th>\n",
       "      <th>Capital</th>\n",
       "      <th>Continent</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>AFG</td>\n",
       "      <td>Afghanistan</td>\n",
       "      <td>Kabul</td>\n",
       "      <td>Asia</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>ALB</td>\n",
       "      <td>Albania</td>\n",
       "      <td>Tirana</td>\n",
       "      <td>Europe</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>DZA</td>\n",
       "      <td>Algeria</td>\n",
       "      <td>Algiers</td>\n",
       "      <td>Africa</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>ASM</td>\n",
       "      <td>American Samoa</td>\n",
       "      <td>Pago Pago</td>\n",
       "      <td>Oceania</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>AND</td>\n",
       "      <td>Andorra</td>\n",
       "      <td>Andorra la Vella</td>\n",
       "      <td>Europe</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "  CCA3         Country           Capital Continent\n",
       "0  AFG     Afghanistan             Kabul      Asia\n",
       "1  ALB         Albania            Tirana    Europe\n",
       "2  DZA         Algeria           Algiers    Africa\n",
       "3  ASM  American Samoa         Pago Pago   Oceania\n",
       "4  AND         Andorra  Andorra la Vella    Europe"
      ]
     },
     "execution_count": 13,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# we can check the data types in your data, the code below filters out all stings in this df\n",
    "df.select_dtypes(include ='object').head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "id": "8aac2753-91bd-4698-8f60-6e67768784ac",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Rank                           0\n",
       "CCA3                           0\n",
       "Country                        0\n",
       "Capital                        0\n",
       "Continent                      0\n",
       "2022 Population                4\n",
       "2020 Population                1\n",
       "2015 Population                4\n",
       "2010 Population                7\n",
       "2000 Population                7\n",
       "1990 Population                5\n",
       "1980 Population                5\n",
       "1970 Population                4\n",
       "Area (km²)                     2\n",
       "Density (per km²)              4\n",
       "Growth Rate                    2\n",
       "World Population Percentage    0\n",
       "dtype: int64"
      ]
     },
     "execution_count": 14,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# To explore the dataset, lets examine the number of null values in each column\n",
    "df.isnull().sum()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "id": "a53bef21-3fa5-440b-8fdb-781a6fb1a400",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Rank                           234\n",
       "CCA3                           234\n",
       "Country                        234\n",
       "Capital                        234\n",
       "Continent                        6\n",
       "2022 Population                230\n",
       "2020 Population                233\n",
       "2015 Population                230\n",
       "2010 Population                227\n",
       "2000 Population                227\n",
       "1990 Population                229\n",
       "1980 Population                229\n",
       "1970 Population                230\n",
       "Area (km²)                     231\n",
       "Density (per km²)              230\n",
       "Growth Rate                    178\n",
       "World Population Percentage     70\n",
       "dtype: int64"
      ]
     },
     "execution_count": 15,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# likewise, its good to check the number of unique values in each field/column\n",
    "df.nunique()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "id": "b81fb7b7-cb6e-4407-bfa0-031bcc43ae22",
   "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>Rank</th>\n",
       "      <th>CCA3</th>\n",
       "      <th>Country</th>\n",
       "      <th>Capital</th>\n",
       "      <th>Continent</th>\n",
       "      <th>2022 Population</th>\n",
       "      <th>2020 Population</th>\n",
       "      <th>2015 Population</th>\n",
       "      <th>2010 Population</th>\n",
       "      <th>2000 Population</th>\n",
       "      <th>1990 Population</th>\n",
       "      <th>1980 Population</th>\n",
       "      <th>1970 Population</th>\n",
       "      <th>Area (km²)</th>\n",
       "      <th>Density (per km²)</th>\n",
       "      <th>Growth Rate</th>\n",
       "      <th>World Population Percentage</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>41</th>\n",
       "      <td>1</td>\n",
       "      <td>CHN</td>\n",
       "      <td>China</td>\n",
       "      <td>Beijing</td>\n",
       "      <td>Asia</td>\n",
       "      <td>1425887337.00</td>\n",
       "      <td>1424929781.00</td>\n",
       "      <td>1393715448.00</td>\n",
       "      <td>1348191368.00</td>\n",
       "      <td>1264099069.00</td>\n",
       "      <td>1153704252.00</td>\n",
       "      <td>982372466.00</td>\n",
       "      <td>822534450.00</td>\n",
       "      <td>9706961.00</td>\n",
       "      <td>146.89</td>\n",
       "      <td>1.00</td>\n",
       "      <td>17.88</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>92</th>\n",
       "      <td>2</td>\n",
       "      <td>IND</td>\n",
       "      <td>India</td>\n",
       "      <td>New Delhi</td>\n",
       "      <td>Asia</td>\n",
       "      <td>1417173173.00</td>\n",
       "      <td>1396387127.00</td>\n",
       "      <td>1322866505.00</td>\n",
       "      <td>1240613620.00</td>\n",
       "      <td>1059633675.00</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>557501301.00</td>\n",
       "      <td>3287590.00</td>\n",
       "      <td>431.07</td>\n",
       "      <td>1.01</td>\n",
       "      <td>17.77</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>221</th>\n",
       "      <td>3</td>\n",
       "      <td>USA</td>\n",
       "      <td>United States</td>\n",
       "      <td>Washington, D.C.</td>\n",
       "      <td>North America</td>\n",
       "      <td>338289857.00</td>\n",
       "      <td>335942003.00</td>\n",
       "      <td>324607776.00</td>\n",
       "      <td>311182845.00</td>\n",
       "      <td>282398554.00</td>\n",
       "      <td>248083732.00</td>\n",
       "      <td>223140018.00</td>\n",
       "      <td>200328340.00</td>\n",
       "      <td>9372610.00</td>\n",
       "      <td>36.09</td>\n",
       "      <td>1.00</td>\n",
       "      <td>4.24</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>93</th>\n",
       "      <td>4</td>\n",
       "      <td>IDN</td>\n",
       "      <td>Indonesia</td>\n",
       "      <td>Jakarta</td>\n",
       "      <td>Asia</td>\n",
       "      <td>275501339.00</td>\n",
       "      <td>271857970.00</td>\n",
       "      <td>259091970.00</td>\n",
       "      <td>244016173.00</td>\n",
       "      <td>214072421.00</td>\n",
       "      <td>182159874.00</td>\n",
       "      <td>148177096.00</td>\n",
       "      <td>115228394.00</td>\n",
       "      <td>1904569.00</td>\n",
       "      <td>144.65</td>\n",
       "      <td>1.01</td>\n",
       "      <td>3.45</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>156</th>\n",
       "      <td>5</td>\n",
       "      <td>PAK</td>\n",
       "      <td>Pakistan</td>\n",
       "      <td>Islamabad</td>\n",
       "      <td>Asia</td>\n",
       "      <td>235824862.00</td>\n",
       "      <td>227196741.00</td>\n",
       "      <td>210969298.00</td>\n",
       "      <td>194454498.00</td>\n",
       "      <td>154369924.00</td>\n",
       "      <td>115414069.00</td>\n",
       "      <td>80624057.00</td>\n",
       "      <td>59290872.00</td>\n",
       "      <td>881912.00</td>\n",
       "      <td>267.40</td>\n",
       "      <td>1.02</td>\n",
       "      <td>2.96</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>149</th>\n",
       "      <td>6</td>\n",
       "      <td>NGA</td>\n",
       "      <td>Nigeria</td>\n",
       "      <td>Abuja</td>\n",
       "      <td>Africa</td>\n",
       "      <td>218541212.00</td>\n",
       "      <td>208327405.00</td>\n",
       "      <td>183995785.00</td>\n",
       "      <td>160952853.00</td>\n",
       "      <td>122851984.00</td>\n",
       "      <td>95214257.00</td>\n",
       "      <td>72951439.00</td>\n",
       "      <td>55569264.00</td>\n",
       "      <td>923768.00</td>\n",
       "      <td>236.58</td>\n",
       "      <td>1.02</td>\n",
       "      <td>2.74</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>27</th>\n",
       "      <td>7</td>\n",
       "      <td>BRA</td>\n",
       "      <td>Brazil</td>\n",
       "      <td>Brasilia</td>\n",
       "      <td>South America</td>\n",
       "      <td>215313498.00</td>\n",
       "      <td>213196304.00</td>\n",
       "      <td>205188205.00</td>\n",
       "      <td>196353492.00</td>\n",
       "      <td>175873720.00</td>\n",
       "      <td>150706446.00</td>\n",
       "      <td>122288383.00</td>\n",
       "      <td>96369875.00</td>\n",
       "      <td>8515767.00</td>\n",
       "      <td>25.28</td>\n",
       "      <td>1.00</td>\n",
       "      <td>2.70</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16</th>\n",
       "      <td>8</td>\n",
       "      <td>BGD</td>\n",
       "      <td>Bangladesh</td>\n",
       "      <td>Dhaka</td>\n",
       "      <td>Asia</td>\n",
       "      <td>171186372.00</td>\n",
       "      <td>167420951.00</td>\n",
       "      <td>157830000.00</td>\n",
       "      <td>148391139.00</td>\n",
       "      <td>129193327.00</td>\n",
       "      <td>107147651.00</td>\n",
       "      <td>83929765.00</td>\n",
       "      <td>67541860.00</td>\n",
       "      <td>147570.00</td>\n",
       "      <td>1160.04</td>\n",
       "      <td>1.01</td>\n",
       "      <td>2.15</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>171</th>\n",
       "      <td>9</td>\n",
       "      <td>RUS</td>\n",
       "      <td>Russia</td>\n",
       "      <td>Moscow</td>\n",
       "      <td>Europe</td>\n",
       "      <td>144713314.00</td>\n",
       "      <td>145617329.00</td>\n",
       "      <td>144668389.00</td>\n",
       "      <td>143242599.00</td>\n",
       "      <td>146844839.00</td>\n",
       "      <td>148005704.00</td>\n",
       "      <td>138257420.00</td>\n",
       "      <td>130093010.00</td>\n",
       "      <td>17098242.00</td>\n",
       "      <td>8.46</td>\n",
       "      <td>1.00</td>\n",
       "      <td>1.81</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>131</th>\n",
       "      <td>10</td>\n",
       "      <td>MEX</td>\n",
       "      <td>Mexico</td>\n",
       "      <td>Mexico City</td>\n",
       "      <td>North America</td>\n",
       "      <td>127504125.00</td>\n",
       "      <td>125998302.00</td>\n",
       "      <td>120149897.00</td>\n",
       "      <td>112532401.00</td>\n",
       "      <td>97873442.00</td>\n",
       "      <td>81720428.00</td>\n",
       "      <td>67705186.00</td>\n",
       "      <td>50289306.00</td>\n",
       "      <td>1964375.00</td>\n",
       "      <td>64.91</td>\n",
       "      <td>1.01</td>\n",
       "      <td>1.60</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "     Rank CCA3        Country           Capital      Continent  \\\n",
       "41      1  CHN          China           Beijing           Asia   \n",
       "92      2  IND          India         New Delhi           Asia   \n",
       "221     3  USA  United States  Washington, D.C.  North America   \n",
       "93      4  IDN      Indonesia           Jakarta           Asia   \n",
       "156     5  PAK       Pakistan         Islamabad           Asia   \n",
       "149     6  NGA        Nigeria             Abuja         Africa   \n",
       "27      7  BRA         Brazil          Brasilia  South America   \n",
       "16      8  BGD     Bangladesh             Dhaka           Asia   \n",
       "171     9  RUS         Russia            Moscow         Europe   \n",
       "131    10  MEX         Mexico       Mexico City  North America   \n",
       "\n",
       "     2022 Population  2020 Population  2015 Population  2010 Population  \\\n",
       "41     1425887337.00    1424929781.00    1393715448.00    1348191368.00   \n",
       "92     1417173173.00    1396387127.00    1322866505.00    1240613620.00   \n",
       "221     338289857.00     335942003.00     324607776.00     311182845.00   \n",
       "93      275501339.00     271857970.00     259091970.00     244016173.00   \n",
       "156     235824862.00     227196741.00     210969298.00     194454498.00   \n",
       "149     218541212.00     208327405.00     183995785.00     160952853.00   \n",
       "27      215313498.00     213196304.00     205188205.00     196353492.00   \n",
       "16      171186372.00     167420951.00     157830000.00     148391139.00   \n",
       "171     144713314.00     145617329.00     144668389.00     143242599.00   \n",
       "131     127504125.00     125998302.00     120149897.00     112532401.00   \n",
       "\n",
       "     2000 Population  1990 Population  1980 Population  1970 Population  \\\n",
       "41     1264099069.00    1153704252.00     982372466.00     822534450.00   \n",
       "92     1059633675.00              NaN              NaN     557501301.00   \n",
       "221     282398554.00     248083732.00     223140018.00     200328340.00   \n",
       "93      214072421.00     182159874.00     148177096.00     115228394.00   \n",
       "156     154369924.00     115414069.00      80624057.00      59290872.00   \n",
       "149     122851984.00      95214257.00      72951439.00      55569264.00   \n",
       "27      175873720.00     150706446.00     122288383.00      96369875.00   \n",
       "16      129193327.00     107147651.00      83929765.00      67541860.00   \n",
       "171     146844839.00     148005704.00     138257420.00     130093010.00   \n",
       "131      97873442.00      81720428.00      67705186.00      50289306.00   \n",
       "\n",
       "     Area (km²)  Density (per km²)  Growth Rate  World Population Percentage  \n",
       "41   9706961.00             146.89         1.00                        17.88  \n",
       "92   3287590.00             431.07         1.01                        17.77  \n",
       "221  9372610.00              36.09         1.00                         4.24  \n",
       "93   1904569.00             144.65         1.01                         3.45  \n",
       "156   881912.00             267.40         1.02                         2.96  \n",
       "149   923768.00             236.58         1.02                         2.74  \n",
       "27   8515767.00              25.28         1.00                         2.70  \n",
       "16    147570.00            1160.04         1.01                         2.15  \n",
       "171 17098242.00               8.46         1.00                         1.81  \n",
       "131  1964375.00              64.91         1.01                         1.60  "
      ]
     },
     "execution_count": 16,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# we can explore further by looking at countries with highest population\n",
    "df.sort_values(by=\"2022 Population\", ascending=False).head(10) "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "id": "a5a7b3a8-3d2e-4464-875e-8ac8dc18b19c",
   "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>Rank</th>\n",
       "      <th>CCA3</th>\n",
       "      <th>Country</th>\n",
       "      <th>Capital</th>\n",
       "      <th>Continent</th>\n",
       "      <th>2022 Population</th>\n",
       "      <th>2020 Population</th>\n",
       "      <th>2015 Population</th>\n",
       "      <th>2010 Population</th>\n",
       "      <th>2000 Population</th>\n",
       "      <th>1990 Population</th>\n",
       "      <th>1980 Population</th>\n",
       "      <th>1970 Population</th>\n",
       "      <th>Area (km²)</th>\n",
       "      <th>Density (per km²)</th>\n",
       "      <th>Growth Rate</th>\n",
       "      <th>World Population Percentage</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>41</th>\n",
       "      <td>1</td>\n",
       "      <td>CHN</td>\n",
       "      <td>China</td>\n",
       "      <td>Beijing</td>\n",
       "      <td>Asia</td>\n",
       "      <td>1425887337.00</td>\n",
       "      <td>1424929781.00</td>\n",
       "      <td>1393715448.00</td>\n",
       "      <td>1348191368.00</td>\n",
       "      <td>1264099069.00</td>\n",
       "      <td>1153704252.00</td>\n",
       "      <td>982372466.00</td>\n",
       "      <td>822534450.00</td>\n",
       "      <td>9706961.00</td>\n",
       "      <td>146.89</td>\n",
       "      <td>1.00</td>\n",
       "      <td>17.88</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>92</th>\n",
       "      <td>2</td>\n",
       "      <td>IND</td>\n",
       "      <td>India</td>\n",
       "      <td>New Delhi</td>\n",
       "      <td>Asia</td>\n",
       "      <td>1417173173.00</td>\n",
       "      <td>1396387127.00</td>\n",
       "      <td>1322866505.00</td>\n",
       "      <td>1240613620.00</td>\n",
       "      <td>1059633675.00</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>557501301.00</td>\n",
       "      <td>3287590.00</td>\n",
       "      <td>431.07</td>\n",
       "      <td>1.01</td>\n",
       "      <td>17.77</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>221</th>\n",
       "      <td>3</td>\n",
       "      <td>USA</td>\n",
       "      <td>United States</td>\n",
       "      <td>Washington, D.C.</td>\n",
       "      <td>North America</td>\n",
       "      <td>338289857.00</td>\n",
       "      <td>335942003.00</td>\n",
       "      <td>324607776.00</td>\n",
       "      <td>311182845.00</td>\n",
       "      <td>282398554.00</td>\n",
       "      <td>248083732.00</td>\n",
       "      <td>223140018.00</td>\n",
       "      <td>200328340.00</td>\n",
       "      <td>9372610.00</td>\n",
       "      <td>36.09</td>\n",
       "      <td>1.00</td>\n",
       "      <td>4.24</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>93</th>\n",
       "      <td>4</td>\n",
       "      <td>IDN</td>\n",
       "      <td>Indonesia</td>\n",
       "      <td>Jakarta</td>\n",
       "      <td>Asia</td>\n",
       "      <td>275501339.00</td>\n",
       "      <td>271857970.00</td>\n",
       "      <td>259091970.00</td>\n",
       "      <td>244016173.00</td>\n",
       "      <td>214072421.00</td>\n",
       "      <td>182159874.00</td>\n",
       "      <td>148177096.00</td>\n",
       "      <td>115228394.00</td>\n",
       "      <td>1904569.00</td>\n",
       "      <td>144.65</td>\n",
       "      <td>1.01</td>\n",
       "      <td>3.45</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>156</th>\n",
       "      <td>5</td>\n",
       "      <td>PAK</td>\n",
       "      <td>Pakistan</td>\n",
       "      <td>Islamabad</td>\n",
       "      <td>Asia</td>\n",
       "      <td>235824862.00</td>\n",
       "      <td>227196741.00</td>\n",
       "      <td>210969298.00</td>\n",
       "      <td>194454498.00</td>\n",
       "      <td>154369924.00</td>\n",
       "      <td>115414069.00</td>\n",
       "      <td>80624057.00</td>\n",
       "      <td>59290872.00</td>\n",
       "      <td>881912.00</td>\n",
       "      <td>267.40</td>\n",
       "      <td>1.02</td>\n",
       "      <td>2.96</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>149</th>\n",
       "      <td>6</td>\n",
       "      <td>NGA</td>\n",
       "      <td>Nigeria</td>\n",
       "      <td>Abuja</td>\n",
       "      <td>Africa</td>\n",
       "      <td>218541212.00</td>\n",
       "      <td>208327405.00</td>\n",
       "      <td>183995785.00</td>\n",
       "      <td>160952853.00</td>\n",
       "      <td>122851984.00</td>\n",
       "      <td>95214257.00</td>\n",
       "      <td>72951439.00</td>\n",
       "      <td>55569264.00</td>\n",
       "      <td>923768.00</td>\n",
       "      <td>236.58</td>\n",
       "      <td>1.02</td>\n",
       "      <td>2.74</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>27</th>\n",
       "      <td>7</td>\n",
       "      <td>BRA</td>\n",
       "      <td>Brazil</td>\n",
       "      <td>Brasilia</td>\n",
       "      <td>South America</td>\n",
       "      <td>215313498.00</td>\n",
       "      <td>213196304.00</td>\n",
       "      <td>205188205.00</td>\n",
       "      <td>196353492.00</td>\n",
       "      <td>175873720.00</td>\n",
       "      <td>150706446.00</td>\n",
       "      <td>122288383.00</td>\n",
       "      <td>96369875.00</td>\n",
       "      <td>8515767.00</td>\n",
       "      <td>25.28</td>\n",
       "      <td>1.00</td>\n",
       "      <td>2.70</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16</th>\n",
       "      <td>8</td>\n",
       "      <td>BGD</td>\n",
       "      <td>Bangladesh</td>\n",
       "      <td>Dhaka</td>\n",
       "      <td>Asia</td>\n",
       "      <td>171186372.00</td>\n",
       "      <td>167420951.00</td>\n",
       "      <td>157830000.00</td>\n",
       "      <td>148391139.00</td>\n",
       "      <td>129193327.00</td>\n",
       "      <td>107147651.00</td>\n",
       "      <td>83929765.00</td>\n",
       "      <td>67541860.00</td>\n",
       "      <td>147570.00</td>\n",
       "      <td>1160.04</td>\n",
       "      <td>1.01</td>\n",
       "      <td>2.15</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>171</th>\n",
       "      <td>9</td>\n",
       "      <td>RUS</td>\n",
       "      <td>Russia</td>\n",
       "      <td>Moscow</td>\n",
       "      <td>Europe</td>\n",
       "      <td>144713314.00</td>\n",
       "      <td>145617329.00</td>\n",
       "      <td>144668389.00</td>\n",
       "      <td>143242599.00</td>\n",
       "      <td>146844839.00</td>\n",
       "      <td>148005704.00</td>\n",
       "      <td>138257420.00</td>\n",
       "      <td>130093010.00</td>\n",
       "      <td>17098242.00</td>\n",
       "      <td>8.46</td>\n",
       "      <td>1.00</td>\n",
       "      <td>1.81</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>131</th>\n",
       "      <td>10</td>\n",
       "      <td>MEX</td>\n",
       "      <td>Mexico</td>\n",
       "      <td>Mexico City</td>\n",
       "      <td>North America</td>\n",
       "      <td>127504125.00</td>\n",
       "      <td>125998302.00</td>\n",
       "      <td>120149897.00</td>\n",
       "      <td>112532401.00</td>\n",
       "      <td>97873442.00</td>\n",
       "      <td>81720428.00</td>\n",
       "      <td>67705186.00</td>\n",
       "      <td>50289306.00</td>\n",
       "      <td>1964375.00</td>\n",
       "      <td>64.91</td>\n",
       "      <td>1.01</td>\n",
       "      <td>1.60</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "     Rank CCA3        Country           Capital      Continent  \\\n",
       "41      1  CHN          China           Beijing           Asia   \n",
       "92      2  IND          India         New Delhi           Asia   \n",
       "221     3  USA  United States  Washington, D.C.  North America   \n",
       "93      4  IDN      Indonesia           Jakarta           Asia   \n",
       "156     5  PAK       Pakistan         Islamabad           Asia   \n",
       "149     6  NGA        Nigeria             Abuja         Africa   \n",
       "27      7  BRA         Brazil          Brasilia  South America   \n",
       "16      8  BGD     Bangladesh             Dhaka           Asia   \n",
       "171     9  RUS         Russia            Moscow         Europe   \n",
       "131    10  MEX         Mexico       Mexico City  North America   \n",
       "\n",
       "     2022 Population  2020 Population  2015 Population  2010 Population  \\\n",
       "41     1425887337.00    1424929781.00    1393715448.00    1348191368.00   \n",
       "92     1417173173.00    1396387127.00    1322866505.00    1240613620.00   \n",
       "221     338289857.00     335942003.00     324607776.00     311182845.00   \n",
       "93      275501339.00     271857970.00     259091970.00     244016173.00   \n",
       "156     235824862.00     227196741.00     210969298.00     194454498.00   \n",
       "149     218541212.00     208327405.00     183995785.00     160952853.00   \n",
       "27      215313498.00     213196304.00     205188205.00     196353492.00   \n",
       "16      171186372.00     167420951.00     157830000.00     148391139.00   \n",
       "171     144713314.00     145617329.00     144668389.00     143242599.00   \n",
       "131     127504125.00     125998302.00     120149897.00     112532401.00   \n",
       "\n",
       "     2000 Population  1990 Population  1980 Population  1970 Population  \\\n",
       "41     1264099069.00    1153704252.00     982372466.00     822534450.00   \n",
       "92     1059633675.00              NaN              NaN     557501301.00   \n",
       "221     282398554.00     248083732.00     223140018.00     200328340.00   \n",
       "93      214072421.00     182159874.00     148177096.00     115228394.00   \n",
       "156     154369924.00     115414069.00      80624057.00      59290872.00   \n",
       "149     122851984.00      95214257.00      72951439.00      55569264.00   \n",
       "27      175873720.00     150706446.00     122288383.00      96369875.00   \n",
       "16      129193327.00     107147651.00      83929765.00      67541860.00   \n",
       "171     146844839.00     148005704.00     138257420.00     130093010.00   \n",
       "131      97873442.00      81720428.00      67705186.00      50289306.00   \n",
       "\n",
       "     Area (km²)  Density (per km²)  Growth Rate  World Population Percentage  \n",
       "41   9706961.00             146.89         1.00                        17.88  \n",
       "92   3287590.00             431.07         1.01                        17.77  \n",
       "221  9372610.00              36.09         1.00                         4.24  \n",
       "93   1904569.00             144.65         1.01                         3.45  \n",
       "156   881912.00             267.40         1.02                         2.96  \n",
       "149   923768.00             236.58         1.02                         2.74  \n",
       "27   8515767.00              25.28         1.00                         2.70  \n",
       "16    147570.00            1160.04         1.01                         2.15  \n",
       "171 17098242.00               8.46         1.00                         1.81  \n",
       "131  1964375.00              64.91         1.01                         1.60  "
      ]
     },
     "execution_count": 23,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# we can explore further by looking at countries with highest population\n",
    "df.sort_values(by=\"World Population Percentage\", ascending=False).head(10)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "id": "00c9d0f1-db49-4c1e-a27a-b19c8f8ed622",
   "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>Rank</th>\n",
       "      <th>2022 Population</th>\n",
       "      <th>2020 Population</th>\n",
       "      <th>2015 Population</th>\n",
       "      <th>2010 Population</th>\n",
       "      <th>2000 Population</th>\n",
       "      <th>1990 Population</th>\n",
       "      <th>1980 Population</th>\n",
       "      <th>1970 Population</th>\n",
       "      <th>Area (km²)</th>\n",
       "      <th>Density (per km²)</th>\n",
       "      <th>Growth Rate</th>\n",
       "      <th>World Population Percentage</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>Rank</th>\n",
       "      <td>1.00</td>\n",
       "      <td>-0.36</td>\n",
       "      <td>-0.36</td>\n",
       "      <td>-0.35</td>\n",
       "      <td>-0.35</td>\n",
       "      <td>-0.34</td>\n",
       "      <td>-0.33</td>\n",
       "      <td>-0.33</td>\n",
       "      <td>-0.34</td>\n",
       "      <td>-0.38</td>\n",
       "      <td>0.13</td>\n",
       "      <td>-0.22</td>\n",
       "      <td>-0.36</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2022 Population</th>\n",
       "      <td>-0.36</td>\n",
       "      <td>1.00</td>\n",
       "      <td>1.00</td>\n",
       "      <td>1.00</td>\n",
       "      <td>1.00</td>\n",
       "      <td>0.99</td>\n",
       "      <td>0.99</td>\n",
       "      <td>0.99</td>\n",
       "      <td>0.97</td>\n",
       "      <td>0.45</td>\n",
       "      <td>-0.03</td>\n",
       "      <td>-0.02</td>\n",
       "      <td>1.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2020 Population</th>\n",
       "      <td>-0.36</td>\n",
       "      <td>1.00</td>\n",
       "      <td>1.00</td>\n",
       "      <td>1.00</td>\n",
       "      <td>1.00</td>\n",
       "      <td>1.00</td>\n",
       "      <td>0.99</td>\n",
       "      <td>0.99</td>\n",
       "      <td>0.98</td>\n",
       "      <td>0.45</td>\n",
       "      <td>-0.03</td>\n",
       "      <td>-0.03</td>\n",
       "      <td>1.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2015 Population</th>\n",
       "      <td>-0.35</td>\n",
       "      <td>1.00</td>\n",
       "      <td>1.00</td>\n",
       "      <td>1.00</td>\n",
       "      <td>1.00</td>\n",
       "      <td>1.00</td>\n",
       "      <td>0.99</td>\n",
       "      <td>0.99</td>\n",
       "      <td>0.98</td>\n",
       "      <td>0.46</td>\n",
       "      <td>-0.03</td>\n",
       "      <td>-0.03</td>\n",
       "      <td>1.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2010 Population</th>\n",
       "      <td>-0.35</td>\n",
       "      <td>1.00</td>\n",
       "      <td>1.00</td>\n",
       "      <td>1.00</td>\n",
       "      <td>1.00</td>\n",
       "      <td>1.00</td>\n",
       "      <td>1.00</td>\n",
       "      <td>0.99</td>\n",
       "      <td>0.98</td>\n",
       "      <td>0.46</td>\n",
       "      <td>-0.03</td>\n",
       "      <td>-0.04</td>\n",
       "      <td>1.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2000 Population</th>\n",
       "      <td>-0.34</td>\n",
       "      <td>0.99</td>\n",
       "      <td>1.00</td>\n",
       "      <td>1.00</td>\n",
       "      <td>1.00</td>\n",
       "      <td>1.00</td>\n",
       "      <td>1.00</td>\n",
       "      <td>1.00</td>\n",
       "      <td>0.99</td>\n",
       "      <td>0.47</td>\n",
       "      <td>-0.03</td>\n",
       "      <td>-0.05</td>\n",
       "      <td>0.99</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1990 Population</th>\n",
       "      <td>-0.33</td>\n",
       "      <td>0.99</td>\n",
       "      <td>0.99</td>\n",
       "      <td>0.99</td>\n",
       "      <td>1.00</td>\n",
       "      <td>1.00</td>\n",
       "      <td>1.00</td>\n",
       "      <td>1.00</td>\n",
       "      <td>1.00</td>\n",
       "      <td>0.52</td>\n",
       "      <td>-0.03</td>\n",
       "      <td>-0.07</td>\n",
       "      <td>0.99</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1980 Population</th>\n",
       "      <td>-0.33</td>\n",
       "      <td>0.99</td>\n",
       "      <td>0.99</td>\n",
       "      <td>0.99</td>\n",
       "      <td>0.99</td>\n",
       "      <td>1.00</td>\n",
       "      <td>1.00</td>\n",
       "      <td>1.00</td>\n",
       "      <td>1.00</td>\n",
       "      <td>0.53</td>\n",
       "      <td>-0.03</td>\n",
       "      <td>-0.08</td>\n",
       "      <td>0.99</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1970 Population</th>\n",
       "      <td>-0.34</td>\n",
       "      <td>0.97</td>\n",
       "      <td>0.98</td>\n",
       "      <td>0.98</td>\n",
       "      <td>0.98</td>\n",
       "      <td>0.99</td>\n",
       "      <td>1.00</td>\n",
       "      <td>1.00</td>\n",
       "      <td>1.00</td>\n",
       "      <td>0.51</td>\n",
       "      <td>-0.03</td>\n",
       "      <td>-0.08</td>\n",
       "      <td>0.97</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Area (km²)</th>\n",
       "      <td>-0.38</td>\n",
       "      <td>0.45</td>\n",
       "      <td>0.45</td>\n",
       "      <td>0.46</td>\n",
       "      <td>0.46</td>\n",
       "      <td>0.47</td>\n",
       "      <td>0.52</td>\n",
       "      <td>0.53</td>\n",
       "      <td>0.51</td>\n",
       "      <td>1.00</td>\n",
       "      <td>-0.06</td>\n",
       "      <td>-0.01</td>\n",
       "      <td>0.45</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Density (per km²)</th>\n",
       "      <td>0.13</td>\n",
       "      <td>-0.03</td>\n",
       "      <td>-0.03</td>\n",
       "      <td>-0.03</td>\n",
       "      <td>-0.03</td>\n",
       "      <td>-0.03</td>\n",
       "      <td>-0.03</td>\n",
       "      <td>-0.03</td>\n",
       "      <td>-0.03</td>\n",
       "      <td>-0.06</td>\n",
       "      <td>1.00</td>\n",
       "      <td>-0.07</td>\n",
       "      <td>-0.03</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Growth Rate</th>\n",
       "      <td>-0.22</td>\n",
       "      <td>-0.02</td>\n",
       "      <td>-0.03</td>\n",
       "      <td>-0.03</td>\n",
       "      <td>-0.04</td>\n",
       "      <td>-0.05</td>\n",
       "      <td>-0.07</td>\n",
       "      <td>-0.08</td>\n",
       "      <td>-0.08</td>\n",
       "      <td>-0.01</td>\n",
       "      <td>-0.07</td>\n",
       "      <td>1.00</td>\n",
       "      <td>-0.02</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>World Population Percentage</th>\n",
       "      <td>-0.36</td>\n",
       "      <td>1.00</td>\n",
       "      <td>1.00</td>\n",
       "      <td>1.00</td>\n",
       "      <td>1.00</td>\n",
       "      <td>0.99</td>\n",
       "      <td>0.99</td>\n",
       "      <td>0.99</td>\n",
       "      <td>0.97</td>\n",
       "      <td>0.45</td>\n",
       "      <td>-0.03</td>\n",
       "      <td>-0.02</td>\n",
       "      <td>1.00</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                             Rank  2022 Population  2020 Population  \\\n",
       "Rank                         1.00            -0.36            -0.36   \n",
       "2022 Population             -0.36             1.00             1.00   \n",
       "2020 Population             -0.36             1.00             1.00   \n",
       "2015 Population             -0.35             1.00             1.00   \n",
       "2010 Population             -0.35             1.00             1.00   \n",
       "2000 Population             -0.34             0.99             1.00   \n",
       "1990 Population             -0.33             0.99             0.99   \n",
       "1980 Population             -0.33             0.99             0.99   \n",
       "1970 Population             -0.34             0.97             0.98   \n",
       "Area (km²)                  -0.38             0.45             0.45   \n",
       "Density (per km²)            0.13            -0.03            -0.03   \n",
       "Growth Rate                 -0.22            -0.02            -0.03   \n",
       "World Population Percentage -0.36             1.00             1.00   \n",
       "\n",
       "                             2015 Population  2010 Population  \\\n",
       "Rank                                   -0.35            -0.35   \n",
       "2022 Population                         1.00             1.00   \n",
       "2020 Population                         1.00             1.00   \n",
       "2015 Population                         1.00             1.00   \n",
       "2010 Population                         1.00             1.00   \n",
       "2000 Population                         1.00             1.00   \n",
       "1990 Population                         0.99             1.00   \n",
       "1980 Population                         0.99             0.99   \n",
       "1970 Population                         0.98             0.98   \n",
       "Area (km²)                              0.46             0.46   \n",
       "Density (per km²)                      -0.03            -0.03   \n",
       "Growth Rate                            -0.03            -0.04   \n",
       "World Population Percentage             1.00             1.00   \n",
       "\n",
       "                             2000 Population  1990 Population  \\\n",
       "Rank                                   -0.34            -0.33   \n",
       "2022 Population                         0.99             0.99   \n",
       "2020 Population                         1.00             0.99   \n",
       "2015 Population                         1.00             0.99   \n",
       "2010 Population                         1.00             1.00   \n",
       "2000 Population                         1.00             1.00   \n",
       "1990 Population                         1.00             1.00   \n",
       "1980 Population                         1.00             1.00   \n",
       "1970 Population                         0.99             1.00   \n",
       "Area (km²)                              0.47             0.52   \n",
       "Density (per km²)                      -0.03            -0.03   \n",
       "Growth Rate                            -0.05            -0.07   \n",
       "World Population Percentage             0.99             0.99   \n",
       "\n",
       "                             1980 Population  1970 Population  Area (km²)  \\\n",
       "Rank                                   -0.33            -0.34       -0.38   \n",
       "2022 Population                         0.99             0.97        0.45   \n",
       "2020 Population                         0.99             0.98        0.45   \n",
       "2015 Population                         0.99             0.98        0.46   \n",
       "2010 Population                         0.99             0.98        0.46   \n",
       "2000 Population                         1.00             0.99        0.47   \n",
       "1990 Population                         1.00             1.00        0.52   \n",
       "1980 Population                         1.00             1.00        0.53   \n",
       "1970 Population                         1.00             1.00        0.51   \n",
       "Area (km²)                              0.53             0.51        1.00   \n",
       "Density (per km²)                      -0.03            -0.03       -0.06   \n",
       "Growth Rate                            -0.08            -0.08       -0.01   \n",
       "World Population Percentage             0.99             0.97        0.45   \n",
       "\n",
       "                             Density (per km²)  Growth Rate  \\\n",
       "Rank                                      0.13        -0.22   \n",
       "2022 Population                          -0.03        -0.02   \n",
       "2020 Population                          -0.03        -0.03   \n",
       "2015 Population                          -0.03        -0.03   \n",
       "2010 Population                          -0.03        -0.04   \n",
       "2000 Population                          -0.03        -0.05   \n",
       "1990 Population                          -0.03        -0.07   \n",
       "1980 Population                          -0.03        -0.08   \n",
       "1970 Population                          -0.03        -0.08   \n",
       "Area (km²)                               -0.06        -0.01   \n",
       "Density (per km²)                         1.00        -0.07   \n",
       "Growth Rate                              -0.07         1.00   \n",
       "World Population Percentage              -0.03        -0.02   \n",
       "\n",
       "                             World Population Percentage  \n",
       "Rank                                               -0.36  \n",
       "2022 Population                                     1.00  \n",
       "2020 Population                                     1.00  \n",
       "2015 Population                                     1.00  \n",
       "2010 Population                                     1.00  \n",
       "2000 Population                                     0.99  \n",
       "1990 Population                                     0.99  \n",
       "1980 Population                                     0.99  \n",
       "1970 Population                                     0.97  \n",
       "Area (km²)                                          0.45  \n",
       "Density (per km²)                                  -0.03  \n",
       "Growth Rate                                        -0.02  \n",
       "World Population Percentage                         1.00  "
      ]
     },
     "execution_count": 18,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# we can check correlation between numeric values\n",
    "df.corr(numeric_only= True) "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "id": "adbc3461-cd8d-4a2a-8248-b5a449c2b520",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "iVBORw0KGgoAAAANSUhEUgAAAskAAAJdCAYAAADAwuq4AAAAOXRFWHRTb2Z0d2FyZQBNYXRwbG90bGliIHZlcnNpb24zLjguNCwgaHR0cHM6Ly9tYXRwbG90bGliLm9yZy8fJSN1AAAACXBIWXMAAA9hAAAPYQGoP6dpAAEAAElEQVR4nOydd1hT1xuA3zAFQUBkqMU6cbbuvXAh7lG31SrOIiLuvau4J86q4KxbpA7cey8UAdmKyt4qyMzvj2AwkKC2WvzpeZ8nz2Nuvnvec4K5+fLdc8+VSKVSKQKBQCAQCAQCgUCOWkF3QCAQCAQCgUAg+NoQSbJAIBAIBAKBQJALkSQLBAKBQCAQCAS5EEmyQCAQCAQCgUCQC5EkCwQCgUAgEAgEuRBJskAgEAgEAoFAkAuRJAsEAoFAIBAIBLkQSbJAIBAIBAKBQJALkSQLBAKBQCAQCAS5EEmyQCAQCAQCgUCQC5EkCwQCgUAgEAj+My5fvkynTp0oUaIEEokENze3D+5z6dIlateuTaFChShbtiwbN2784v0USbJAIBAIBAKB4D/jzZs3VK9eHWdn54+KDwkJoX379jRt2pQHDx4wbdo0HBwcOHTo0Bftp0QqlUq/qEEgEAgEAoFAIFCCRCLhyJEjdO3aVWXM5MmTcXd3x9fXV75t5MiRPHz4kBs3bnyxvolKskAgEAgEAoHgX5GamkpSUpLCIzU19bO0fePGDaytrRW2tW3blrt375Kenv5ZHMrQ+GItCwSCPKTHBBeIV/8HqwLxgqxK8L2hVoBjllAwbnW1gqu5qBXQmLMouBOxb9LeFoh3lVmLAvECbE4PKhCvf8LLAvECvH0b+sUdn+t7ycl5B3PnzlXYNnv2bObMmfOv246IiMDMzExhm5mZGRkZGcTExFC8ePF/7VCGSJIFAoFAIBAIBP+KqVOnMm7cOIVt2tran6393AWXd7OFv2QhRiTJAoFAIBAIBN8rWZmfpRltbe3PmhS/j7m5OREREQrboqKi0NDQwNjY+Is4QSTJAoFAIBAIBN8v0qyC7sEHadiwIX///bfCttOnT1OnTh00NTW/mFdcuCcQCAQCgUAg+M94/fo1np6eeHp6ArIl3jw9PQkNlc3Bnjp1KgMHDpTHjxw5kmfPnjFu3Dh8fX3Ztm0bW7duZcKECV+0n6KSLBAIBAKBQPC9kvXfV5Lv3r1LixY5F4G+m8v822+/4erqSnh4uDxhBihTpgwnTpxg7NixrFu3jhIlSrBmzRp++eWXL9pPkSQLBAKBQCAQfKdIC2C6hZWVFfndpsPV1TXPtubNm3P//v0v2Ku8iOkWAoFAIBAIBAJBLkSSLBB8JKVLl2bVqlUF3Q2BQCAQCD4fWVmf5/ENIpJkwf89gwYNQiKRIJFI0NDQoFSpUvz+++/Ex8cXdNf+NXc9vRg1aTYtOvenWuN2nLt8/bO0O2PGWIKD7xAf78/p0/uoXNky3/guXWy4du0YERFexMY+4datk/Tr1z1PXIkSZri4rOLly4fExflx69ZJatasphAzfbojwcG3iYvz49SpvVSuXOGD7qtX/yY8/BExMb7cvHmCvn27KXVv27aKFy88iY19ws2bJxTcX8I7fbojKSnPFB4hIXfytDVtuiOBQbeIiX3CSY8Puzt3acuVq+68DHtEVLQPN5S4p0135E3yU4VHsFL3GAKCbhId68tJj78+yn356lFehD0kMtqb6zeP00fJ+/2O8RN+53VyCE6LZyhsnzLNgScB14mI9ubYyd1U+oC3U2drLl5249mLB4RFenHl+t/07tNVIWbI0H5cu3mc52GePA/z5My5A7Ru0zxPW5OnOeATcI2w6Mf8/RHujp2tOX/5CE9f3OdF5CMuX3fP47Yd2o+rN4/xLMyTZ2GenFLi/hJjfp9x40eS+Dooz3sNMGvmOEKf3uNVYiDnzhygSpX8P9Ndu7bj5o0TxET5kBgfwN07p+nfX3F+p7q6OvPmTiLA7wavEgPxf3KdumO6Qva6tNUGtmbgtRWMDNhGr+PzKV6vokqfrqkh1mvt6H9xKaOe7aDJ7F/zxJS1qUOv4/MY9ngTI/y20NtjARW7N1bZ5u8ThnDW053bIRfZengd5SqWyXfMv/TvjKvbBq4+OcXVJ6fYvH8N1WpWUYgZMnogezy2ciPwLBcfH2eVyyIqVCirEPNfHj//E6RZn+fxDSLmJAu+CWxsbHBxcSEjIwMfHx9sbW1JSEjgr7/+Kuiu/StSUt5SsXxZura3Zuz0Pz5Lm+PH/46Dw1CGDRtPQEAwU6Y4cPz4bn7+2YrXr98o3Sc+PoHFi9fi5xdEeno67dq1YvPmZURFxXD27GUADA0NuHDhMJcu3aBLl4FER8dStuyPJCQkveceiYPDUIYPn5DtHp3tbqHSHReXwJIlzvj5BZGWlkb79jJ3dHTse+4inD9/iEuXbtC1629ERSm6v5QXwNvbjw4d+sufZ2Yqrjk6btxIRo8ewogREwgMCGHS5NH8fWwXNaq3VP1+xyWyZMk6/P0CSUuTvd8bNy3N4/bx9qNjx5xkI7d77LgR2I8ewsgRE7Pd9rgf20nN6q3ycSewdMk6/P2Cst0t2bhpCdHRsZx7zw1Qq/bPDLbti9cjX4XtjmOHM8reFruRkwgMfMrESaNwc99OnZpt8vk/lsiypevx9w8iPS2dtu1asn7jYmKiYzl37goAL19GMGfWUoKDnwLQr/8v/LVvI80bd+GJbwAAY8YOx87ellEjJxEUGMKESaM47O5KvZrW+bqXL11PgH8waWnptG3XAueNi4iOjuV8tjvsZQRzZy0lOPgZAH37d+evfRtp2rgzT3wDvtiY5e91rZ8YNLgPXl6+edqZOMEOxzHDsR06loCAYKZNHYPHib+oUq1Zvn9np0Vr8Mv+P9ahfWu2/rmC6KgYTp+5BMCkiaMYPmwAtkMc8fbxo3bt6uzasprUVykkRyfQdPavXJruSvhdf6r2b0mnHRPZ03Iyr8Ni8/jUtTRIiX3F3bVHqTHURmmfUhPecHetO/GBYWSmZ1C6VU1aLR9OSmwSoZe8FGIH2//KgBF9mTlmPs+CnzPMcRCb9q2mc+M+JL9JVtp+nUa1OOl2Bs87XqSmpjF41K9s3LuK7s37ExURLYtpWJO9Lofw9vRFXV2d0VNHcvz4LmrUaEVycsp/fvw8efL/+zvs/x2JNL+Z0wLB/wGDBg0iISEBNzc3+bbx48fj6upKbGwsmZmZDB8+nPPnzxMREUGpUqWws7NjzJgxedpo0qQJy5cvJy0tjT59+rBq1Sr5GoylS5fG0dERR0dHAFxcXHB0dOTgwYO0adPmo/r6b27/Wa1xO1Y7zaRVs0afvO/7t6UOCbmLs/NWli/fAICWlhahofeYMWMRW7bs/ug2b9w4jofHeebOXQ7A/PlTaNSoDq1a9VCIe/9uSMHBd1i3bivLl2+Uu589u8uMGYvYunXPR7uvX5e55817555Mw4Z1aN26p9L4L+WdPt2RTp2sadCgvULc+7elDgq+zTrnbaxYkeMOeXqXmTMXse0T3NeuH8PD4zzz560AZJXkTp2saZjL/f5tqQODb7HOeRsrV2ySu4Of3mHWzEVs2/rxX75Xr//NKY8LcjdA4cK6XL1+jLGOM5k82R4vL1+mTpb9kPMLvMGGdS6sWrlZ7g0IvsWcWUtw2fbx3stXj3Lq1EUWzF+pMuZp6D1mzVjMrh0HAPANvM7Gda6sfs/tH3yTObOW4Lpt70e7L149yulTF1g4f5XKmODQu8ycsYidOw580TEXLqzL5avujB87iwmTR+H1yBeHsTnV5OfP7rNm7RaWLlsvd4e98GTqtIX8uWXXR7tv3/Lg5MlzzJ6zFICjR7YTGRXN8BE5y2z5uR0hPSUNw7LmRD9+yqVprvLX+p1fTMipe9xYvD9fT7f904n2fsbVuR/uW68Tf/DsvCe3lh1UuC31uYd/s+vPfbg4y9rQ1NLkgtdxVv2xnoM73T5qvGpqalz1O43TtOX8fUB51dbI2JBL3idp3boHV6/e/s+Pn//FbanTnn2ei+G0fqz1Wdr5mhDTLQTfHMHBwXh4eMiT26ysLH744Qf279+Pj48Ps2bNYtq0aezfr3ggv3DhAkFBQVy4cIHt27fj6uqq9ApbgGXLljFhwgROnTr10Qny10CZMqUoXtxUoRqZlpbGlSu3aNCg9ke306JFYywty3H16m35to4d23Dv3iN2795AaOh9bt48ga1tX/nrpUtbZLtzKmT/xG1l1RhLy7JcvXpLvq1Dhzbcv/+I3bvX8+zZPW7cOMHgwX2+uBegfPkyBAffxtf3Kjt2rKV0aQuFMZubmypUBdPS0rh69RYN6n+KuxEVKpTl2nvvN0C5cqUJDLqFt88VXLd/vLv+P3BfzeVesXIepzzOc/HCNYXt77znz11V8F67eot69T/+S7S5VSPKVyjL9Vzed6ipqfFLj47oFtbhzu0HAPyo0n37k9zNrBpSvkIZrl/NO33lnbt7jw7oFtbh9u0HX3zMy1bM5dSpC1y8mHe6lewzbcaZs5cU3Jev3KRhwzof7W7ZogkVLctx5cpN+bZr12/TskUT+XSDn3+uQvG6FQm97IXpT2V4fvmxQhvPLz/GvE7+U0w+hR8aV8WonDlht54obC9ZqgQmZsW4cTHnfUpPS+fejQfUqPvTR7dfSKcQGhoaJL53tis3evp6gOzMUkEeP78oYrqFSsR0C8E3wbFjx9DT0yMzM5O3b98CsGKFrOqlqanJ3Llz5bFlypTh+vXr7N+/n169esm3GxkZ4ezsjLq6OpUqVaJDhw6cO3eOYcOGKbimTp3K9u3buXjxIj/99PEH5K8BMzMTAKKiYhS2R0XFUKpUyXz3LVJEn+Dg22hra5GZmcmYMTMUErAyZSwYPvxX1qzZwpIlztStW4Ply+eSmprGnj2HMTc3zXZF/yN3UNCt99wzOX8+JyEpU8aCYcPeuddRp051ufvd6fEv4b1zx5OhQ8cREBCMqWkxpkwZzYULh6lbx5q4uAT5+x2Zxx1NKYsfPugOCLyZ7c5irOMMBffdO54MGzqOwMAQTE2LMWnyaM5fOEzd2oru3H/r6KgYLCw+PG7/wBvvuWdy4T13jx4dqVGjKs2adsmzr6kqb3QsFhYlPuDVw9f/utw7fuwsLuRKwqtUteTMuYMUKqTN69fJ9O9rh9+TQADMzIrJx/g+UdEfM2Y9vP2vyd0Txs7O8wOgSlVLTp07QKFC2rx5z/0uEf4SY/6lR0eq16hKi2Zdle5vbib7XEVGKrojI6P5sdSH/4+FPr0n//9tP3oaZ9/7TC9Zug4DA328vS6RmZmJuro6t5Yc4OU1b9Q01EmOTlRoLzkmEV0Tw3ydH0JLX4dBd9airqWBNDOLSzNceX5FMRkvZiq7DXFsdJzC9tjoOIr/YP7RLscZdkRFRHPzsvIfQwAT5zpw7dptfHz85Ynwf3n8/E/4Ri+6+xyIJFnwTdCiRQs2bNhAcnIyW7Zswd/fn9GjR8tf37hxI1u2bOHZs2ekpKSQlpZGjRo1FNqoWrUq6urq8ufFixfHy0txHtzy5ct58+YNd+/epWxZxYs5cpOamkpqaqrCNrXU1C92b3tlSLT1UNcrRkyMbB5jt26DAPKsTymRSPJdsxLg1avX1Ktng55eYVq0aMzixTMJCQnl8mVZ5UlNTY179x4xa9YSACpXroCGhjqbNy9j9eo/6NZtcLY7Vx8/0l2/frv33DMICQmVV73U1NS4f9+L2bOX0qdPVxYtmiF329j0/WLe06cvymO9vf2wsCjBhg1LCAy6TXp6Or90t0WZXCKRIOXD7oYN2qOnVxgrq0Y4LZpJSMhzle4fLEqwfv0SAoJukZ6eTo/uQ7LVeQb+Ue5GDTpQWE8XK6vGOC2awdOQUK5cuUXJksVZsnQ2nTsPJDU1jV69u9CocV0aNKzNwN960avHUKVeCZI8f4O83jc0bdSJwoV1aW7ViAVO03n69DlXr+RU7wP8Q2jaqBMGBkWYNMWeA4e2kJLylqysLHr3GJaP+0NjfkOzRp3fc0/j6dPnXMvlbtaoM7/06MDEKaPl7h7Zf+fPPeaSJYuzaMlMunX+jdTUNABMTIwZNvxXBv4m+4HfuctA5e6P/P9du641enqFadmiCcuWziYkJJRLl28A0KtXZ/r1/YVfB47Cx8ef6tWrsmnFAtJTZH3J+6FSsu0TSXv9ln0209HU1eaHJlVpMrM/RSxMqT7UBltkydyoXyeoHPMH/mvLGTyqP+26tsG2ux1p2e9tbjbtW039pnVISXlLTIzvf3r8fPjQm8qVLRk1avDHDUjwRRBJsuCboHDhwpQvXx6ANWvW0KJFC+bOncv8+fPZv38/Y8eOZfny5TRs2BB9fX2WLl3KrVuKp81z3/9dIpGQlesXdtOmTTl+/Dj79+9nypQp+fbJyclJoYINMGOiA7MmjVGxx+dHmvaGjPi31Gsiu7DsXYJuZmZCRESUPM7ExDhPdSRPW1KpvCr76JEPlSqVZ+LEUfKDfEREFE+eBMjjjx07w8KFqxk58jdatvwFbW2tz+auWLE8EyfayRPGiIgofLMv3Dp27Ay3bz+gd+8ujBgxkNjYuC/mzc3hwyf47bfePH/+kj/mr3xvzKZERORUk01MihEV+YnuSuWZMEG1+8jhE/w2sFe2e5XC+x2p4Db+JLfXI18qVirP+Al2XLlyi5q1qmFqVoyr19zl8erq6kgkEgoV0iY+LiHHG5njLWZS9JPeby8vXypWLMe48SMVkuT09HR5zLAh4zjs5sKL52EseG/MprncJibGearLytwh2e0+9vLFsmI5xo4fqZAkp6enExL8jI3rt3Po4HE2bF7C8+dhxMbGf5Ex16hZDVPTYly6elQer6GhQVZWFoUKafPTzy3Q1JJ9jZubK/7/NjUtRuRHuIOCngKypKxSpfJMnmQvT5IXO81kyVJn9u+X/a0fP37C71Wa8tOAVmRlZKJraqjQnq6xAckxitXlT0YqJfFpJAAxPqEYlS+Jee3y7LOZzt502fxcLW3ZsbqYqTExUTkXCRYtZkRsTFzeNnPx2+/9GOLwG8N7ORDgG6Q0ZsqCcZStUJqhPey5+URWLPkvj59AnudfioK4mcj/C2JOsuCbZPbs2SxbtoywsDCuXLlCo0aNsLOzo2bNmpQvX56gIOUHxg9Rr149PDw8WLhwIUuXLs03durUqSQmJio8Jo8Z+Y+8/xipFLIyCA5+RnDwM3x9/QkPj6JVq6byEE1NTZo2rc/Nm/c+qWmJRCJPSgBu3LiLpWU5+fPXr99gZGRISEhotjsg293kC7jvYWlZVu4NDn6GkZEBISGhX9Sbm7S0dH788Qf8/YPlY46IiKJlS0V3kyb1uXnr091aH3CXUupW/Fs3aVKfW5/sRj7uixeuU69OWxo16CB/3Lv3kP37jtKkUSd8fPyJiIiiRa4xN25Sn9u3Pu0CoQ+N+fXrN7x9m0pqahohwc94kj3mFi1zlg2Tuev9I7eqv/Xr128ICX4md+d4P++YL128ToN67WjSqJP8cf/eI/bvO0rtutYEBAbj4+NPeHgkrVs1U3A3a9qAGzfu/qsx6+rqkJWlWCGVZmYhUZMQ5RWCRVPF5R0tmlYj4u7nTewkElBTVyfxaSTPn77g+dMXBPmFEB0ZQ8PmdeVxGpoa1G5YE887Xvm0BoPs+jN87GDs+o7F5+ETpTFTF46nVXsrhvwyirvXHxTI8RPIs/TcF0Osk6wSUUkWfJNYWVlRtWpVFi5cSIUKFdixYwenTp2iTJky7Ny5kzt37lCmTP5raqqiYcOGnDx5EhsbGzQ0NBg7dqzSOG1t7TxTK9LT8q825CY5OYXQF2Hy5y/DInniH4RBEX2KZ8/x/VScnbcyadIoAgNDCAwMYfJke5KT37J3r5s8ZuvWlYSFRTBz5mIAJk4cxf37jwgOfoampiY2Ni3o3/8XHBymy/dZs2YLFy8eYdKkURw8eIy6dWswZEg/7O2nymPWrdvKxImjCAx8SmBgCJMm2ZOS8pZ9+3IqZVu2rCAsLEJ+2nHCBDu5W0tLK9vdHQeHnKv7167dwoULh5k4cRSHDsnctrY57i/ldXKazvHjZ3n+PAxTU2MmTx6Nvr4eu3cdyhmz8zYmTBxFYNBTggJDmDhxFCkpKex/z/3nn8sJC4tk9mzl7rZtrejXrztjxuS4Fy6cxokT53j+/CUmpsWYPNk+2304l9uOoKAQggKfMmGiXbY7pwq8+c/lhIVFMGe27Eff+Am/c/++FyHBz9DS0sS6bQv69euO45iZgCxB9PHxV/g/lfwmhbi4BHyzt29Y58K4Cb8TFPSUoKCnjJ/wOykpKRzYn+PduHkZ4WERzJ2zDJCtAfzgvhchIaFoamlibW1Fn37dGOc4S77PrNnjOXPmEi9fhKOnX5hfenSiSdP69Ohqm9PuOle5OzjoKeMm/E5ySgoH9/8tj9mweSnhYZHMy3aPfc+tpaVJG2sr+vTrynjH2fJ9Zs4ez9kzl3jxIhx9/cJ079GRJk3r80vXwV9szK9fv5G/p+94k5xMXFwC3t5+8m1r1m5hyuTRBGR/pqdMHk1ycgp/7T0ij3HZtpqwsHCmz1gEwORJ9ty795Cg7L9zO5tWDPi1B6Pe+7weO36GqVMceP78Jd4+ftSoUY0aw9rhs+8S0Y+f0mbV70Q9CibiXiBV+7dAr6Qxj3edA6Dh5F4UNjfi7NhN8vaKVSkFgGZhbXSM9SlWpRSZ6RnEB8iOcbVHdSLqUQiJzyJR09SgdMsaVPylicIKGu/Y9ec+hjj8xrPgF4SGPGeow2+8TXnLicOn5TEL1s4iMjyaNQtlK1EMHtWfUZOGM8VuNi+fh2NsUhSQ/f9NSU4BYPqiCbTrZs2YQZN58zoZY5OimGmnkZiYxNu3qf/58VNQsIgkWfDNMm7cOAYPHoy/vz+enp707t0biURC3759sbOz4+TJf75Qe+PGjTl+/Djt27dHXV0dBweHz9jzHB4/CcB29GT58yVrZctLdWnXmgUzxv+jNpcv34COTiFWr16AkVER7tzxpGPH/gprfFpYlFCYalK4sA6rV/9ByZLFSUl5i59fIIMHO3LwYE7ice/eI3r1Gs78+ZOZNm0MT58+Z+LEuQpfHsuXb6RQoUKsWvXHe+5fP+DWVXD7+wdha+vIwYPHFNy9ew9n3rzJTJvmwNOnLxTcX8pbsqQ5O3asxdjYiJiYOG7ffkDz5t14/vylPGbFio0U0inEqlXzMTQ04M4dTzp3GqDg/sGipELFTrewDitXzVdwD7Edy6FDOe4SJYvjun2NgruFlaJ75YpN6OgUYmW2++4dT7p0GvjBca9cNU/BPdR2LIcOHedjWbVyM4V0CrF85VyZ964n3boMyjXm4gpe3cK6LF85jxIlzXmb8hZ//2CGDx3P4fe8pqbF2PTncszNTUhKeo334yf80nUwly7krPqwOtu9LNt97+5DfsnjLpHLrcOylXPl7gD/YEYMHc+RQyfkMSamxdj45zLMzE1JSnold7+7yO5LjfljWLpsPTo6hXBesxAjIwNu335Auw79FNyllPyd165x4ocfzLM/00EMHOTAgQM5Sf0YxxnMnTOJtWsWYmpqTFhYJI93n+fOqiNkpWdSyEifumO6UdjUkFi/Fxz7bSmvXsqmP+iaGaJfsphCP/ucWij/t+nPZanYrTFJz6PZ0UhWaNDQ1ab5gkHoFS9Kxts04gPDODNmA4F/K06NA3Bx3kWhQtpMXzSBIgb6eD3wYWQfR4U1ks1LmimMudegX9DS1mLFVieFtjYs28KGZVsB6D1IdkMVlyPrFWKGDRvHzp0H//Pj5/r1i/OM/bMjpluoRKyTLBD8h/ybdZL/De+vk/xf8/46yd8LagU45vfXSf4vUVcruNl7agU05qyPvUrsC/Am7W2BeFeZtSgQL6CwTvJ/iX/Cyw8HfSH+i3WSU59c+nDQR6BdKe/dL//fEXOSBQKBQCAQCASCXIjpFgKBQCAQCATfK2K6hUpEkiwQCAQCgUDwvfKNrkzxORDTLQQCgUAgEAgEglyISrJAIBAIBALB94qYbqESkSQLBAKBQCAQfK+I6RYqEUmyQCAQCAQCwXeKVJpZ0F34ahFzkgUCgUAgEAgEglyISrJAIBAIBALB94qYk6wSkSQLBP8hBXXnu1cvLhaIV/AdkVWAp2wL6EtemplRIF6A+P52BeKdHlIwd/oDaKj+Q4F4773YXSDe/wwxJ1klYrqFQCAQCAQCgUCQC1FJFggEAoFAIPheEdMtVCKSZIFAIBAIBILvlYKcKvWVI6ZbCAQCgUAgEAgEuRCVZIFAIBAIBILvFTHdQiUiSRYIBAKBQCD4XhGrW6hETLcQ/F9hZWWFo6PjV9OOQCAQCASCbxORJH8lODk5UbduXfT19TE1NaVr1674+fkpxEilUubMmUOJEiXQ0dHBysoKb29v+etxcXGMHj2aihUroqurS6lSpXBwcCAxMVEe8/TpU4YMGUKZMmXQ0dGhXLlyzJ49m7S0tHz7Z2VlhUQiQSKRoK2tjaWlJQsXLiQz8+ue8H/x4kUkEgkJCQkK2w8fPsz8+fMLplPvMWPGWIKD7xAf78/p0/uoXNky3/guXWy4du0YERFexMY+4datk/Tr1z1PXIkSZri4rOLly4fExfmhYVgS1LU+qW93Pb0YNWk2LTr3p1rjdpy7fP2T9v+nFJS3IN1fwrv38DHa9hhErRad6WU7mnuej/ON/+vQ33TqN5zaLbrQsc9Qjp48q/B6ekYGG7btxqbnYGq16Ez33+y4evOucveR47TtNYRarbrRa8gY7j38gPvwMTr9OpLarbrTsd8Ijnqcy+t2+Qub3kOp1aob3QfZc/XWPSXeE7TtNZRarX+h19Cx3HvonSdG0XucTr/aUbt1Dzr2/52jHufzel33YtNnOLVa/0L3wQ5KvQB73U5i03ckta1702v4BO498snffeQknX8bTZ22feg00B73UxcUXh/sOJOfWnTP87Cb8odCnE6XrhTbsxfTU6cpumkzmj/9nK/3HZrVqmF69hxF/9yisL1QWxvMLlzK80BTdvzo7NiLZbc2s/7JbibunUuJCh9eu7iWTX3mnVnJBr+/mHdmJTXb1lN4vZ1dN6YfXYTz452suLuVUZsnYVa2hEJMz2kDWOu7i40h+9kQtI+JB+ZjWto8X29Nm/rMPrMSZ789zD6zkhq5vDZ2XZl61InVj3ew9O4Wft88UcGrpqFO9yn90TD8AQ3j0mgYlUJdzwTU1D845oI8jn0y0qzP8/gGEUnyV8KlS5cYNWoUN2/e5MyZM2RkZGBtbc2bN2/kMUuWLGHFihU4Oztz584dzM3NadOmDa9evQIgLCyMsLAwli1bhpeXF66urnh4eDBkyBB5G0+ePCErK4tNmzbh7e3NypUr2bhxI9OmTftgH4cNG0Z4eDh+fn44ODgwY8YMli1b9vnfjP+AokWLoq+vX6B9GD/+dxwchjJ27EwaN+5IREQ0x4/vRk+vsMp94uMTWLx4Lc2bd6Nu3bbs2HGAzZuX0bp1M3mMoaEBFy4cJj09gy5dBlKzZisy38R+8kEsJeUtFcuXZdq4//amBQXlLUj35/aePHuJRas3MWxgHw64OFPr56qMnDCT8IgopfF7jxxj1UYX7Gz747ZrI3ZDf2XB8vVcvHpTHrN283YOHD3JtLG/c3TXJnp1bc+YqfPx9Q9UdJ+7zKI1fzJsQC8ObF1DrepVGTlxDuGRqtwnWLVpO3aD++G2cz12tv1YsGIjF6/dynH/uZMD7ieZ5jiCozs30KtLe8ZMW4Cvf9B73issWruFYQN7cWDLKmr9XIWRk+YSHhmt3Ot2glWbd2A3uC9uO5yxs+3LgpWbuHjt9nveXRxw92DamOEc3bGOXl1sGDPdScEL4HH+KovXuTDs11848Odyav9cmd8n/6HSve+oB6u37MLut94ccVmF3aA+LFj9Jxev35HHrJo3iQuHtsofR7atQl1NDWurRvIY7RYt0B9lz5tdO4kdNoy0R48wXLwYNVNTpd53SAoXpsiUaaTdv6/09azXr4nu3k3hQXoaun360mZIR/bM2sofnaeQGJ3AuF2z0C5cSKWrbC1LRjiP48aRy8xtP54bRy4zwnkcZWpUkMdUrF+FCzs9WNhtKisGzENNXZ1xO2aipaMNgM3IrrQZ0pGY51FsGb0K70ueWFQtg+Pu2fIYZd5hzmO5deQS89tP4NaRSwx3HkvpGuXlMZb1q3Jx5ykWdZvG6gHzUVNXZ8yOGfI2tXS0sahalszkeDISXpL5KhLUNVHXzz85h4I9jn0yWVmf5/ENIpLkrwQPDw8GDRpE1apVqV69Oi4uLoSGhnLvnqxqIZVKWbVqFdOnT6d79+5Uq1aN7du3k5yczJ49ewCoVq0ahw4dolOnTpQrV46WLVuyYMEC/v77bzIyZHeGsrGxwcXFBWtra8qWLUvnzp2ZMGEChw8f/mAfdXV1MTc3p3Tp0tjb29OqVSvc3NwAiI+PZ+DAgRgZGaGrq0u7du0ICAiQ7+vq6oqhoSFubm5YWlpSqFAh2rRpw/Pnz+UxgwYNomvXrgpOR0dHrKysVPZp165d1KlTB319fczNzenXrx9RUbIv46dPn9KiRQsAjIyMkEgkDBo0CMg73eJj+3/q1CkqV66Mnp4eNjY2hIeHf/B9U4W9/RAWL3bm6FEPfHz8GTp0HLq6hejTp6vKfS5fvom7+yn8/AIJDn7GunXb8PLypXHjuvKY8eN/58WLcIYPn8Dduw959uwF0vS3kPVpdwdr2rAuDsN/o41V4386xH9EQXkL0v25vTv2HaF7R2t6dLahXOlSTHEcibmpCXuPHFca/7fHeXp2aU+71s2xKFmc9q2t6N7Rmq27DyjEDBvYm2aN6mFRsjh9unWkcf3auP6leOzYsc+N7h3a0KNTW8qVtmCKw3DMTYux98gJ5e7T5+nZuR3tWjXDooQ57Vs3p3vHNmzdfSgn5tQFhg3oRbOGdbEoYU6fbu1pXK8WrnuP5Hj3H6V7h9b06Gid7R2GuUkx9rqp8J66SM/ONrRr1VTmbdWM7h1as3XPe97TFxn2a0+aNawj83ZtT+N6NXHd56Y45gN/0719K37p0IayP/7AZPshmJsas8/9lHL3mUv07GSNTcsmWJQwp13LJnRv34ptf+WMx6CIPsWKGskfN+49pFAhbayb5yTJhXv2IuXECVJOHCcz9Bmv1zmTFRWNbucuSr3vKDJuPG/PnSXdW1WlXUpWfJzCA0C3R0+OrzvM/VO3CPN/zrbxa9HS0aZ+l6YqXW1sO+Bz9REn1x8hIiiMk+uP8OS6F61tO8hjVv22gOsHLxIW8IIXvs9wmbgO4x9M+PGnsgC0HdYJNXV1No9awd1j19k4cimZGRkUNtSjbmfln5lWth3wvfoIj/VuRAaF4bHejSfXH9PqPe+a3xZw4+BFwrO92yeuV/C+fZXM6gHzkaa9gcx0pBmpZL2JRU1T+4PV5II8jn0yIklWiUiSv1LeTZEoWrQoACEhIURERGBtbS2P0dbWpnnz5ly/rvo0TmJiIkWKFEFDQ/U1momJiXLPp6Cjo0N6ejogS3Dv3r2Lu7s7N27cQCqV0r59e/nrAMnJySxYsIDt27dz7do1kpKS6NOnzyd73yctLY358+fz8OFD3NzcCAkJkSfCFhYWHDok+8Lz8/MjPDyc1atXK23nY/u/bNkydu7cyeXLlwkNDWXChAn/qN9lypSieHFTzp69rDCWK1du0aBB7Y9up0WLxlhaluPq1ZzqV8eObbh37xG7d28gNPQ+N2+eQKJdsFVzwX9Heno6Pn4BNKpXS2F7o3q1ePhY+RSA9PR0tLUUp+Noa2vj5eNPevYP7LT0dLTyxGjx4JG3Qjs+/oE0qldT0V23Jg8fP1HuTktHW1tTsV0tLbx8P8Lt5aPorfsJ3vR0tLVyebW18PINyOXNG/PAyzfXmINoVKe6ortODTxVuNPSlLWrjdeTQLk7N4dPnMOmRRN0dbKrthoaaFhaknb3jkJc2t07aFarprQNgEI27VAvUZI327erjJHo6FDsr30U238Aw4VOaJSvgHrx4qgbG+N95aE8LiMtA79bPpSvXVFlW2VrWuLz3j4A3pcfUr6W6n109XUBeJPwmmIWpugbGwCQnpou9/rf8kFNTUL5upU/wetJuXy8Ou95VSJRQyqVfrPTCwSKiCT5K0QqlTJu3DiaNGlCteyDXUREBABmZmYKsWZmZvLXchMbG8v8+fMZMWKESldQUBBr165l5MiRH92/rKwsPDw8OHXqFK1atSIgIAB3d3e2bNlC06ZNqV69Ort37+bly5fySjPIvkycnZ1p2LAhtWvXZvv27Vy/fp3bt2+rln0AW1tb2rVrR9myZWnQoAFr1qzh5MmTvH79GnV1dXnyb2pqirm5OQYGBnna+JT+b9y4kTp16lCrVi3s7e05d+5cnvY+BjMzEwCiomIUtkdFxchfU0WRIvrExPjy6lUQR464MG7cLM6duyJ/vUwZC4YP/5WgoBA6dRrAli27UdczRqKt94/6Kvj/Ij4hiczMLIyLGilsNzYyJCY2Xuk+jerV5tAxD7yfBCCVSnns68+R46fJyMggISEJgMb1a7Nj72GePX9JVlYW12/f58KVm0THxuW4E7PdRrndRsTEqXLX4tDfp/H2C5S5nwRw5MRZRXe9WuzY55bjvvOAC1dvyd05XkNFb1EDYuISVHhrcujYmQ94a7Jj/1GePQ9T6pW5X5GZpcRtZEBsvHJ347o1OHz8LN5+QUilUrz9Ajly8pzMnZiUJ97LN4DAkFB+6dBavk3NwACJuoa8yvuOzPh41IyUFz3US5ZEb9hwEhfMV3kDiczQUJIWLSJhxjQS589HmpZG0bXOaFSUJZdJ0YpjSopOoIiJYd6GsjEwMSQx1z6JH9in14zf8L/tS5j/cwxMZP+X4sJi6DapH7pFCqOuqYGBiSFaOtoYmCpvp4iJIUnRiQrbkqIT8/X2nPEbAdle5UhQ0y2KNPU1SKUq2/l/QyrN/CyPbxGxBNxXiL29PY8ePeLq1at5XpNIJArPpVJpnm0ASUlJdOjQgSpVqjB79mylnrCwMGxsbOjZsydDhw79YL/Wr1/Pli1b5Bf5DRgwgNmzZ3P27Fk0NDSoX7++PNbY2JiKFSvi65tTcdHQ0KBOnTry55UqVcLQ0BBfX1/q1VO8oOJjefDgAXPmzMHT05O4uDiysk/5hIaGUqVKlY9qw9fX96P6r6urS7ly5eTPixcvLp/aoYzU1FRSU1MB2dh1dHSIiZG1163bIED293sfiUSSZ1tuXr16Tb16NujpFaZFi8YsXjyTkJBQLl+WzR9VU1Pj3r1HzJq1BICHD71ZvXQKaoWKkJmaT4VE8E2R51iB8mMFwMjBfYmJi6P/8LFIkWJsZETX9q3ZtvsgauqyWsqUMSOYs3gNnfoNRyIBixLF6dqhDW7HzyhxKz7P1z2oDzFx8fQfMT7bbUjXdq3YtudQjtthOHOWrKXTr7/nuNu3xu2E4sWFeY+Pefsi9/7WW+YdOTHHa9OKbX8dfs87jDlLnOk0wC7H2641brkualQ2aNmnWLl8xMCexMQl8OuoKUilUoyLGtKlbQtc9rqhppa3dnX4xFnKlynFT5Ur5G0s1+FComwjgJoaBjNm8cbVhcwXL5T2CyDd14d0Xx8KtW6N/rjxsha1tCjUomW2L+8x68MJo5J9lPURGLtzJlUa/0Ta2zScvXeyxtYJgO2TN9Bj6gBWPnIlMyOTpOgEXsUmkpWZX0U3tzfvtnf0nTeEkpVLsbTHTJWtqeubIpFAxpsYlTH/l3yjUyU+ByJJ/soYPXo07u7uXL58mR9+yLlq2NxcdqFAREQExYsXl2+PiorKU11+9eoVNjY26OnpceTIETQ1FU/rgSxBbtGiBQ0bNmTz5s0f1bf+/fszffp0tLW1KVGiBOrqsjlZqpI6ZQm8si/Kd9vU1NTytPX+dIfcvHnzBmtra6ytrdm1axcmJiaEhobStm3bD67WkbufH9P/3O/jhxJaJycn5s6dC4Cenh5mZmaoq+ujrq6HtrbswhAzMxMi3ruYysTEOE91WVm/goOfAfDokQ+VKpVn4sRR8iQ5IiKKJ08CFHfKTEOipfqCQMG3g5FhEdTV1YiJVawwxsUnYlzUUOk+hbS1+WPaOGZPciA2Lh4T46IccD9JYV0djAyKAFDUyJA1i2aRmppGQlISpsWMWblhGyWL5xx/jAyy3bmqxnHxCXkqrQruqY7MnmhPbFwCJsZGHHA/lcttwBqnGYruja5yt2pvYv7eKWOYPWFUjvfvXF5DA9YsnJ7tfYVpsaKs3Lg915j1UVdTI1apO++Zq3fu+ZPtmTV+JLHxCZgUNeLgsTMK7nekvE3F48I1Rg1SnJqWlZiINDMDtVxT5dSMjMiKz1u1l+joolmpEhoVyqM/Zkz2RjUkamqYnj1H/MQJpD94II9PvXaNdB/Zj/rCQ4aiXqwYAEVMjRQqw/rFDEiKUazYvk9idIK8GvyOIsUM8lR5AfrOsaV4+R9Y1ncu8RGxAGhoydKUpLgk/mg/kUL6umhoajBg8UjK1a5I7HPlhQplFW59Fd4+c2z5uXUdlvWaTUJEXJ7XAdT1zZCoa5CRGP5NVZEF+SOmW3wlSKVS7O3tOXz4MOfPn6dMmTIKr5cpUwZzc3POnMmp2qSlpXHp0iUaNcq5kCMpKQlra2u0tLRwd3enUKG8Vx2/fPkSKysratWqhYuLi9LKhTIMDAwoX748FhYW8gQZoEqVKmRkZHDrVs7V6LGxsfj7+1O5cs58sYyMDO7ezVkyys/Pj4SEBCpVqgSAiYlJngvhPD09VfbnyZMnxMTEsGjRIpo2bUqlSpXyVHbfzWPMb6m6j+3/pzJ16lQSExNJTEzk5cuX3L9/n6dPYwgOfoavrz/h4VG0apVzwYumpiZNm9bn5k3lS0ypQrYsX858zRs37mJpWU4xSF0L6SdeuCf4/0RTU5MqFStw484Dhe037tynerX8z65oamhgbmqCuro6Hmcv0bxx/TzHB21tLcxMipGRmcmZi9do0bShotuyPDfueOZye1K9WqWPcBeTuc9dpnmjevm7L12nRZP6it67ubx3P9V7heaN6qrwGsu8l3O8Oe5y3LirOP/1xr2H1PgYt4nMffL8VZo1qJPHferiNdLS0unYprnizhkZZPj7o/Xe2TkArdp1SH+cd8k9afIbYgYPInboUPkj5W93MkKfETt0KOnvnTUDkKakkBn2ksywl2iUKEHmyxdkxsZStUnOEnPqmhpUrF+FwHt+uXVygh/4U+W9fQCqNK1O4H3FffrNHUItm/os6zsbv1veRD2LIOpZBGEBL0iIipd7375KJuVVMhUbVqWwoR6eZxTnZL/vrazEG5TL22fuEGrY1Gdlv7nEvsibcKtpqGcnyJrZCfI3WHUVS8CpRFSSvxJGjRrFnj17OHr0KPr6+vJ5xgYGBujo6CCRSHB0dGThwoVUqFCBChUqsHDhQnR1denXrx8gqyBbW1uTnJzMrl27SEpKIilJNr/NxET2xRcWFoaVlRWlSpVi2bJlREfnLFH0rlr9qVSoUIEuXbowbNgwNm3ahL6+PlOmTKFkyZJ06ZJzlbWmpiajR49mzZo1aGpqYm9vT4MGDeRTLVq2bMnSpUvZsWMHDRs2ZNeuXTx+/JiaNWsq9ZYqVQotLS35nOrHjx/nWfv4xx9/RCKRcOzYMdq3b4+Ojg56eopzcz+2/5+Ktra2vGL8jvcr087OW5k0aRSBgSEEBoYwebI9yclv2bvXTR6zdetKwsIimDlzMQATJ47i/v1HBAc/Q1NTExubFvTv/wsODtPl+6xZs4WLF48wadIoDh48Rt26NVArpE/m6087RZicnELoizD585dhkTzxD8KgiD7FzfNfYurfUFDegnR/bu/A3t2YOn8ZVStVoHq1yhw8epLwyGh6d2sPwMoNLkTFxOI0U3bh6dPQF3j5+vNzlYokvXrN9r2HCQh+xoIZORemPvJ+QmR0LJUqlCUqOpb123YhlUqx7d8jl7srU/9YQdVK5aletTIH3T0Ij4qmd9ds90ZXmXvG+Gz3y2y3pcy9z42AkGcsmD72PbcfkTHv3DGs37YHaVYWtv1+yfH26sLUBSupWrE81atW4uDfp2TeLu1k3k3biYqJwym73afPs72Vs8e8/ygBIaEsmOaY4/XxUxyzy19Is6TY9lVcm3xgz05MdVqT7a7IgWOnCY+MoVcn2YXWq/7cRVR0LAunjcl2h+H1JICfK1cg6dUbdhxwJ/BpKAumOuT5Wx45cY6WTephaJD34ts3B/ZjMHU66X5+pHt7o9OxI2pmpiT/7Q6A3tBhqJmYkOS0EKRSMp+GKOyfFR+PNC1NYXvhgb+R7utD5osXSHQLo/vLL2iUL0/S6pVkhIbSftQAIp+GExkSTodR3UlLSeXW0ZxrImyXjyYhMpbDS2SrLp3ddoJJ++dhM7IrnmduU6NNPSo3/onFPXOmNfSfP5T6XZriPGwxb9+8lVeAU5KSSU9N4+y243Qa0xNNLQ2ePgyi3ajuaOlo8+jsXXyvPAJg0HJ7EiLjcMv2ntt2nAn759F2ZBc8z9yhRpu6VG78E0ve8/adP5R6XZqwftgSpV41dTVGbBiPREObjKQIQAKS7ALRB+bgFuRx7JMR0y1UIpLkr4QNGzYA5FnuzMXFRb5aw6RJk0hJScHOzo74+Hjq16/P6dOn5ev93rt3T14NLV++vEI7ISEhlC5dmtOnTxMYGEhgYKDCdA5QPe3gY3BxcWHMmDF07NiRtLQ0mjVrxokTJxSmKOjq6jJ58mT69evHixcvaNKkCdu2bZO/3rZtW2bOnMmkSZN4+/Yttra2DBw4EC8vL6VOExMTXF1dmTZtGmvWrKFWrVosW7aMzp07y2NKlizJ3LlzmTJlCoMHD2bgwIG4urr+o/5/bpYv34COTiFWr16AkVER7tzxpGPH/rx+nbM2toVFCfk8a4DChXVYvfoPSpYsTkrKW/z8Ahk82JGDB/+Wx9y794hevYYzf/5kpk0bw9Onz8l8HSu72OQTePwkANvRk+XPl6yVTcvp0q41C7ITnC9BQXkL0v25ve1aNycx6RUbXfYQHRtHhbKl2bBsHiXMZdMEYmLjFNYtzszKYvtfh3ga+hINDXXq1arOro0rFKYVpKalsfbP7bwIi0BXR4emDeviNHMiRfQVf3S2a9VM5nbdK3OX+ZENS+ZQIjsxiImNV1g/ODMri+37juS4a/7Mrg1Llbh38iI8292gNk4zxyu427VqKvNu35fjXTxLtTczi+373LK9GtSr+RO71i/O5U1n7Zbd2d5CNG1QB6cZY/OM2aZlExKSXrFxx36i4+IpX7oU6xdNl7ujY+MJf28aVVZWFjv2u/P0ucxdt0Y1dq51omSu5Onp8zDue/myaekspX/n1AsXeFXEAL2BA1ErakzG0xASpkwmKzISADVjY9Q/sGZybiR6ehQZNwG1okWRvnlDemAA8WMcyHjyhIwnT7iVUpT+84dR2KAwwZ4BrBgwn9Q3b+X7G5cshvS9qmLQfT82j15J1wl96TquN9GhkWy2X0mIZ86UsBYDbACYtG+eQl+2TXDm+sGLeGx0o2KDqnRy7I1ETUJGWjpX/zrHvrku8tiiJYspfIcF3/dny+hVdJnQh87j+hAdGsGf9it56pmzrrfVgLYATNg3V8HrOmEdNw5exKi4MTXayJbX1DRS/L7MSAyTLa2pgoI8jgk+HxLpv8mMBIKPxNXVFUdHxzx3vvveKFSoVIF4X724WCBewXeEitUS/hMK6FSvNLPgpjDF9y+Ym1RMD8l/9Z0vibqKCyG/NM53FxeIF0CzWNkv7kg5u/GztKPT+uNXyfp/QVSSBQKBQCAQCL5XxHQLlYgL9wQCgUAgEAgE/znr16+nTJkyFCpUiNq1a3PlypV843fv3k316tXR1dWlePHiDB48mNjY2C/WP5EkC/4TBg0a9N1PtRAIBAKB4KujgFa32LdvH46OjkyfPp0HDx7QtGlT2rVrR2hoqNL4q1evMnDgQIYMGYK3tzcHDhzgzp07H3Wfh3+KSJIFAoFAIBAIvleysj7P4xNZsWIFQ4YMYejQoVSuXJlVq1ZhYWEhX8ggNzdv3qR06dI4ODhQpkwZmjRpwogRIxSWlv3ciCRZIBAIBAKB4HulAJLktLQ07t27h7W1tcJ2a2trrl+/rnSfRo0a8eLFC06cOIFUKiUyMpKDBw/SoUOHfzz0DyGSZIFAIBAIBALBvyI1NVV+f4Z3j9TUVKWxMTExZGZm5rljsJmZmfw+Eblp1KgRu3fvpnfv3mhpaWFubo6hoSFr16797GN5h0iSBQKBQCAQCL5XPtOcZCcnJwwMDBQeTk5O+arfv8EWyO7XkHvbO3x8fHBwcGDWrFncu3cPDw8PQkJCGDnyyy09J5aAEwgEAoFAIPhe+UxLwE2dOpVx48YpbMt919l3FCsmux177qpxVFRUnuryO5ycnGjcuDETJ04E4Oeff6Zw4cI0bdqUP/74g+LFi3+GUSgiKskCgUAgEAgEgn+FtrY2RYoUUXioSpK1tLSoXbs2Z86cUdh+5swZGjVqpHSf5ORk1NQU01Z1ddltwr/UffFEJVkg+A9RdRpJIBAIPgVJAZW4JAV01zsAccuLL0QB3bFy3LhxDBgwgDp16tCwYUM2b95MaGiofPrE1KlTefnyJTt27ACgU6dODBs2jA0bNtC2bVvCw8NxdHSkXr16lChR4ov0USTJAoFAIBAIBN8rBXTHvd69exMbG8u8efMIDw+nWrVqnDhxgh9//BGA8PBwhTWTBw0axKtXr3B2dmb8+PEYGhrSsmVLFi/+crcNl0i/VI1aIBDkQUfnxwLxJj2/UCBewXdEVmbBuQuoEibNzCgQL0DCALsC8U4PMi0Qb0Gy/u6XS8I+hGaxsl/ckXJk0WdpR6fblM/SzteEqCQLBAKBQCAQfK8U0I/M/wdEkiwQCAQCgUDwvVJA0y3+HxCrWwgEAoFAIBAIBLkQlWSBQCAQCASC7xVRSVaJSJIFAoFAIBAIvlfE+g0qEdMtBP9XWFlZ4ejo+NW0IxAIBALB/zVZWZ/n8Q0ikuSvBCcnJ+rWrYu+vj6mpqZ07doVPz8/hRipVMqcOXMoUaIEOjo6WFlZ4e3tLX89Li6O0aNHU7FiRXR1dSlVqhQODg4kJiYqtBMfH8+AAQPk91YfMGAACQkJ+fbPysoKiUSCRCJBW1sbS0tLFi5cSGZmAS779BFcvHgRiUSSZ3yHDx9m/vz5BdOp95g+3ZHg4NvExflx6tReKleukG98ly42XL36N+Hhj4iJ8eXmzRP07dstT1yJEmZs27aKFy88iY19goZhSVDX+qS+3fX0YtSk2bTo3J9qjdtx7vL1T9r/n1JQ3oJ0f2tj3nvkOG17DaFWq270GjKGew8f5xv/1+FjdPp1JLVbdadjvxEc9Tin8Hp6RgYbXP7CpvdQarXqRvdB9ly9dU+J9wRtew2lVutf6DV0LPceeueJUfQep9OvdtRu3YOO/X/nqMf5vF7Xvdj0GU6t1r/QfbCDUi/AXreT2PQdSW3r3vQaPoF7j3zydx85SeffRlOnbR86DbTH/VTeZRp3HvybTgPtqdO2D617DWPxum2kpqUpxOh07orxrr2YnDyN0YbNaP70c77ed2hWrYbJ6XMYbdqisL1QWxtMz13K80BTdvzo5NiTpbc2se7JbibsnUOJCj980FXLpj5zz6xkvd8e5p5ZSc229RReb2fXlelHnVj7eAfL727BbvNEzMoq3hyi28S+OPvsZHPIfjYF72Ph5bU0/9X6i3sBUNdEXd8MjaKl0ShaGnWDEqCmnq+7ID/Tgs+HSJK/Ei5dusSoUaO4efMmZ86cISMjA2tra968eSOPWbJkCStWrMDZ2Zk7d+5gbm5OmzZtePXqFQBhYWGEhYWxbNkyvLy8cHV1xcPDgyFDhii4+vXrh6enJx4eHnh4eODp6cmAAQM+2Mdhw4YRHh6On58fDg4OzJgxg2XLln3eN+I/omjRoujr6xdoH8aPH4mDw1DGjp1FkyadiIyM5vjx3ejpFVa5T1xcAkuWOGNl1Z26dduyc+cBNm9eRuvWzeQxhoZFOH/+EOnp6XTt+hs1a7Ym803sJy/zk5LylorlyzJt3H+7HmtBeQvS/S2N+eS5yyxa8yfDBvTiwNY11KpelZET5xAeGaU0fu+RE6zatB27wf1w27keO9t+LFixkYvXbslj1v65kwPuJ5nmOIKjOzfQq0t7xkxbgK9/0HveKyxau4VhA3txYMsqav1chZGT5hIeGa3c63aCVZt3YDe4L247nLGz7cuClZu4eO32e95dHHD3YNqY4RzdsY5eXWwYM91JwQvgcf4qi9e5MOzXXzjw53Jq/1yZ3yf/odK976gHq7fswu633hxxWYXdoD4sWP0nF6/fkcccO3OJVZt3MXJgL45uX8O8iaM4deEaq/7cJY/RtmqBnp09b/bsJG7EMNK9HmHgtBg10/zXMpYULkyRKdNIu39f6etZr18T06ObwoP0NHT79KXNkI7smbWVBZ2nkBidwNhdM9EuXEilq2wtS4Y7j+XmkUvMaz+Bm0cuMdx5LGVqlJfHWNavyoWdp3DqNo2VA+ajrq7O2B0z0NKR3dLYZmQXrId35u3rFFwnrsfr/H0KG+rTd44t1dvU+WJeAJNSZmgYlECamU5GYhgZCS/ISo7/4BSFgvxMfzKikqwSkSR/JXh4eDBo0CCqVq1K9erVcXFxITQ0lHv3ZFULqVTKqlWrmD59Ot27d6datWps376d5ORk9uzZA0C1atU4dOgQnTp1oly5crRs2ZIFCxbw999/k5EhW/Te19cXDw8PtmzZQsOGDWnYsCF//vknx44dy1O5zo2uri7m5uaULl0ae3t7WrVqhZubGyCrTg8cOBAjIyN0dXVp164dAQEB8n1dXV0xNDTEzc0NS0tLChUqRJs2bXj+/Lk8ZtCgQXTt2lXB6ejoiJWVlco+7dq1izp16qCvr4+5uTn9+vUjKkr2Zfz06VNatGgBgJGRERKJhEGDBgF5p1t8bP9PnTpF5cqV0dPTw8bGhvDw8Hzfs/wYNWoIS5Y4c/SoBz4+/gwdOh4dnUL07t1F5T5XrtzE3f0Ufn6BhISEsm6dC15eT2jUqK48Zvz433nxIpwRIyZy9+5DQkNfIE1/C1mfduODpg3r4jD8N9pYNf7HY/wnFJS3IN3f0ph37HOje4c29OjUlnKlLZjiMBxz02LsPXJCafzfp8/Ts3M72rVqhkUJc9q3bk73jm3YuvtQTsypCwwb0ItmDetiUcKcPt3a07heLVz3Hsnx7j9K9w6t6dHROts7DHOTYux1U+E9dZGenW1o16qpzNuqGd07tGbrnve8py8y7NeeNGtYR+bt2p7G9Wrius9NccwH/qZ7+1b80qENZX/8gcn2QzA3NWaf+ynl7jOX6NnJGpuWTbAoYU67lk3o3r4V2/7KGc9DH39qVqtEh9bNKGluSqO6NWjXsgk+fjkJum6PXqScPMHbE8fJDH3G6/XOZEVFo9NJ9TEEQH/seN6eO0uGj6pKu5Ss+DiFB4BO956cWHeYB6duE+b/HJfxzmjpaFO/SxOVrta2HfC5+oiT692ICArj5Ho3nlx/TGvbDvKY1b8t4PrBi4QFvOCF7zNcJq7H+AcTfvxJdiONVrYdeJPwigs7T3H94EU22i0HICEyjtI/lftiXoCuE/siTUsmKzkOMtMgKwNpesoHiw4F+Zn+ZKRZn+fxDSKS5K+Ud1MkihYtCkBISAgRERFYW+ecXtLW1qZ58+Zcv676NE5iYiJFihRBQ0N2jeaNGzcwMDCgfv368pgGDRpgYGCQbzvK0NHRIT09HZAluHfv3sXd3Z0bN24glUpp3769/HWA5ORkFixYwPbt27l27RpJSUn06dPnk5y5SUtLY/78+Tx8+BA3NzdCQkLkibCFhQWHDsm+8Pz8/AgPD2f16tVK2/nY/i9btoydO3dy+fJlQkNDmTBhwj/qd+nSFhQvbsrZs1cUxnLlyi0aNKj90e1YWTXG0rIsV6/mVN06dGjD/fuP2L17Pc+e3ePGjRNItAu2ai74PkhPT8fHP5BG9WoqbG9UtyYPHz9Rvk9aOtramgrbtLW08PL1Jz37x31aejpaWorThbS1tXjg5aPorfsJ3vR0tLVyebW18PINyOXNG/PAyzfXmINoVKe6ortODTxVuNPSlLWrjdeTQLm71k+V8fEPwstX9mP9eVgEV27dp+m744OGBhqWlqTdvaPY9r07aFatptQLUKhtO9SLl+TNju0qYyQ6Ohjv2Yfx3gMYLHBCo3wF1IoXR93YGO8rD+VxGWkZ+N/yoVztiirbKlvTEp/39gHwvuxJuVqq99HR1wXgTcJrilmYYmhqROCdJ9RoXQdDs6JkpGUQ5v8cQ1MjvC8/VNrGv/UCSCQSfm5RC2lmOupFzNEo+iPqBiWQaOmqbEPwbSFWt/gKkUqljBs3jiZNmlCtmuxgFxERAYCZmZlCrJmZGc+ePVPaTmxsLPPnz2fEiBHybREREZgqORVnamoqd3yIrKwsTp8+zalTp3B0dCQgIAB3d3euXbtGo0aNANi9ezcWFha4ubnRs2dPQPZl4uzsLE/Qt2/fTuXKlbl9+zb16tVT6csPW1tb+b/Lli3LmjVrqFevHq9fv0ZPT0/+I8PU1BRDQ0OlbXxK/zdu3Ei5crLKhb29PfPmzftH/TY3l/0NoqIUT8dGRcVQqlTJfPctUkSfoKBbaGtrkZmZyZgxMzl//qr89TJlLBg27FfWrNnCkiXrqFOnOmvXLiATKdLU1/+ovwLBxxCfmERmZhbGRkYK242NjIiJU35qv1G9Whz6+zQtmzakimU5vP0COXLiLBkZGSQkJGFSrCiN69Vixz436lSvikXJ4ty895ALV2+RmX0r7ByvoaK3qAExcQkqvDU5dOwMLZs2yMdbkx37j1KnejUsSpq/582pmsUnviIzS4nbyIDYeOXuxnVrcPj4WVo2rk8Vy7L4+Adx5OQ5mTsxCRPjorRr2YS4hEQGOkwHqZSMzEx6d27L0H7dAVAzMECiriGv8r4jKz4etezjXm7US5ZEb9hw4h1Hq7yNeEZoKElLFpEZHIykcGF0uv+C0WpnkpY4AZAUrXiNS1J0IsY/FFPaFoCBiaHSfYqYGKrcp9eM3wi47UuY/3PK1bIEYP+CnXQZ14ultzaRkZ6BmpoaYQHPCbyr/IfIv/UC6BczoJCeDlKpNllv4sl8E4ealg7q+mZkJoYjzXirsq3/K77RqRKfA5Ekf4XY29vz6NEjrl69muc1iUSi8FwqlebZBpCUlESHDh2oUqUKs2fPzreN/Np5n/Xr17NlyxbSsi8cGTBgALNnz+bs2bNoaGgoVKeNjY2pWLEivr45FRcNDQ3q1MmZP1apUiUMDQ3x9fX9x0nygwcPmDNnDp6ensTFxZGV/WEPDQ2lSpUqH9WGr6/vR/VfV1dXniADFC9eXD61QxmpqamkpqYCsrHr6OgQHS2rfHXrNhjIO61NIpEg/cBct1evXlO/fjv09ArTokVjFi+eQUhIKFeu3ARATU2N+/e9mD17KQAPH3qzeukU1AoVIVMkyYL/gNyHEimqjy8jB/UhJi6e/iPGI0WKsZEhXdu1YtueQ6ipy052TnEYzpwla+n06+9IJGBRojhd27fG7cTZXN7cx8e8fZF7f+st846cmOO1acW2vw6/5x3GnCXOdBpgl+Nt1xq3k2fzNpjbLduo1D1iYE9i4hL4ddQUpFIpxkUN6dK2BS573VBTk7nveD7mz12HmOE4jJ8qW/L8ZTiLnLdRbMd+Rg7spXxQ7w88N2pqFJk2i9euLmS+eKFy1wxfHzJ8fdBu1Rr9seNlY9DSQtuqpfK2JR+zgphigOytUr7T2J0zqNz4J9LeprHWeydrbWXJeZNeLShbw5K1QxYR+zKaX/8YTpka5anc+Cd8r3n9a2+/eUP4oXIplvSY+V687O8nTU0m660s4c5KSUOiUQg1nSJkvvpGkmSxBJxKRJL8lTF69Gjc3d25fPkyP/yQc9Wwubk5IKsEFy9eXL49KioqT3X51atX2NjYoKenx5EjR9DU1FRoJzIyMo83Ojo6Tzu56d+/P9OnT0dbW5sSJUqgri67uldVUqcs8Vb2Rflum5qaWp623p/ukJs3b95gbW2NtbU1u3btwsTEhNDQUNq2bStP5D+Gj+3/++/ju37nl9A6OTkxd+5cAPT09DAzM0NdXR8NDX20tWWnjs3MTIiIyEm0TUyMiYqK+WB/g4NlZw8ePfKhYsXyTJxoJ0+SIyKi8PUNUNwpMw2JluoLAgWCz4GRQRHU1dWIiYtX2B4Xn5Cn0vqOQtra/DHVkdkT7YmNS8DE2IgD7qcorKuDkUERAIoaGbDGaQapqWkkJCVhWsyYlRtdKVnc7APexPy9U8Ywe8KoHO/fubyGBqxZOD3b+wrTYkVZuXG73Ctz66OupkasUreBSvf8yfbMGj+S2PgETIoacfDYGQW387a/6GTdnF86tAHAsuyPJL9NZd7yDQz/tQdZiYlIMzNQM1KsGqsZGZEVH5/HKdHRRbNSJTQqlEffYUz2RjUkamqYnD5HwqQJpHs+kMenXb9GfHaRoLDtUNSKyarFRUwNSYxOkMcVKWZAUkzO89wkRifkqd7qFzPIU+UF6DvHFvPyP7C87zziImIB0NSSpSnt7LqxfvhSvC7Izki8jk8i5nkU1sM7K02SP9VbvXUdlvaaTXxETmX+dfwrMtIzkGQqfp9IM9ORaKq+WFHw7SDmJH8lSKVS7O3tOXz4MOfPn6dMmTIKr5cpUwZzc3POnDkj35aWlsalS5fkUwRAVkG2trZGS0sLd3d3ChVS/CA3bNiQxMREbt/OuYL71q1bJCYmKrSjDAMDA8qXL4+FhYU8QQaoUqUKGRkZ3LqVMy82NjYWf39/KleuLN+WkZHB3bt35c/9/PxISEigUqVKAJiYmOS5EM7T01Nlf548eUJMTAyLFi2iadOmVKpUKU9l9908xvyWqvvY/n8qU6dOJTExkcTERF6+fMn9+/d59iyW4OBn+PoGEB4eRatWORe8aGpq0rRpfW7eVL7ElCpky/LlzNe8ceMelpZlFYPUtZB+4oV7AsGnoqmpSRXL8ty446mw/cYdT6pXq5T/vhoamJsWQ11dHY9zl2neqJ68qvoObW0tzEyKkZGZyZlL12nRpL6i924u791P9V6heaO6KrzGMu/lHG+Ouxw37irOf71x7yE1PsZtInOfPH+VZg3qyN0pb1PzFBXU1dSQSrN/2GdkkOHvj1ZtxdUdtGrXId0775J70uQ3xA4ZRNzwofJHyt/uZIQ+I274UNKf+CrGp6SQGfaSzLCXqBcvQeaLF2TGxlKlSc4Sc+qaGljWr0LQPdUXfQc/8FfYB6BK0+oE3Vfcp+/cIdS0qc/yvnPwu+VN9LMIop9FEBbwgsToBDQ0NZBmXxz2zpsYHa/yDMUne/vNJeaF4vdHZnoGTx8FIVHPVSBR14TMb+h4Kla3UImoJH8ljBo1ij179nD06FH09fXl84MNDAzQ0dFBIpHg6OjIwoULqVChAhUqVGDhwoXo6urSr18/QFZBtra2Jjk5mV27dpGUlERSUhIgS0DV1dWpXLkyNjY2DBs2jE2bNgEwfPhwOnbsSMWKqi9oyI8KFSrQpUsXeZv6+vpMmTKFkiVL0qVLzlXWmpqajB49mjVr1qCpqYm9vT0NGjSQT7Vo2bIlS5cuZceOHTRs2JBdu3bx+PFjatasqdRbqlQptLS0WLt2LSNHjuTx48d51j7+8ccfkUgkHDt2jPbt26Ojo4Oent4/6v+noq2tjba2tsK29w/o69ZtZeLEUQQGPiUwMIRJk+xJSXnLvn1H5TFbtqwgLCyCWbOWADBhgh337z8iOPgZWlpa2Ni0oH//7jg4zJDvs3btFi5cOMzEiaM4dOgYdevWQK2QPpmv869Q5yY5OYXQF2Hy5y/DInniH4RBEX2Km+e/xNS/oaC8Ben+lsY8sHdXpv6xgqqVylO9amUOunsQHhVN767tAVi50ZWomFicZowH4GnoS7x8/fm5iiVJr16zfZ8bASHPWDB9rLzNR95+RMbEUqlCWaKiY1i/bQ/SrCxs+/2S4+3VhakLVlK1YnmqV63Ewb9Pybxd2sm8m7YTFROHU3a7T59neytXlHn3HyUgJJQF0xxzvD5+REa/88ay3uUvpFlSbPt2Vxxzz05MdVqT7a7IgWOnCY+MoVcn2YXWq/7cRVR0LAunjcl2h+H1JICfK1cg6dUbdhxwJ/BpKAumOsjbtGpUhx0H/qZyhbL8VLkCoS/Dcd72F1aN6siLFMkH91NkynQy/P1I9/FGp0NH1ExNSfnbHYDCQ4ahVsyEV4sXglRK5tMQhX5LE+KRpqUpbNcd8JtsysXLF6jpFkan2y9olC/PqzUryXwRSvtRA4h6GkFkSDjtR3UnLSWVW0dzpgbaLrcnPjKOI0tkqy6d23acifvnYTOyC55n7lCjTV0qN/6JJT1zpjX0mz+U+l2asG7YEt6+eSuvAKckJZOemsbZrcfoOqEvvy4YjvvK/bL1jqVQ+ufy7P9j+xfzApze7M7vGycgSX+LND0FNS1dJFq6ZCbmfGaUUZCf6U/mG01wPwciSf5K2LBhA0Ce5c5cXFzkqzVMmjSJlJQU7OzsiI+Pp379+pw+fVq+3u+9e/fk1dDy5csrtBMSEkLp0qUB2UVpDg4O8pUyOnfujLOz87/qv4uLC2PGjKFjx46kpaXRrFkzTpw4oTBFQVdXl8mTJ9OvXz9evHhBkyZN2LZtm/z1tm3bMnPmTCZNmsTbt2+xtbVl4MCBeHkpn29mYmKCq6sr06ZNY82aNdSqVYtly5bRuXNneUzJkiWZO3cuU6ZMYfDgwQwcOBBXV9d/1P/PzfLlGylUqBCrVv2BkVER7tzxpGPHX3n9OmdtbAuLEvJ51gCFC+uyevUflCxZnJSUt/j7B2Fr68jBg8fkMffuPaJ37+HMmzeZadMcePr0BZmvYz/5or3HTwKwHT1Z/nzJ2s0AdGnXmgXZCc6XoKC8Ben+lsbcrlUzEpNesdF1L9GxcVQo8yMblsyhRHZiEBMbr7B+cGZWFtv3HeFp6Es0NNSpV/Nndm1YqjClITUtjbV/7uRFeAS6Ojo0bVAbp5njKaKv9563qcy7fV+Od/Es1d7MLLbvc8v2alCv5k/sWr84lzedtVt2Z3sL0bRBHZxmjFXwAti0bEJC0is27thPdFw85UuXYv2i6XJ3dGw84e9No8rKymLHfneePpe569aoxs61TpR8L3kaPqAnEomEtVv3EBUTh5FhEZo3rIPD0P45/bt4gddFDCg8YCBqRY3JeBpC4tTJZEXJptSpGRuj/oE1k3OjpqeH/rgJqBkVRfrmDemBAcSPdSDD7wkZfk+4+aYo/eYPpbBBYYI9A1k54A9S3+TMzS1aspjCNLSg+/5sHr2KrhP60GVcH6JDI9hsv5IQz0B5TIsBbQGYuG+uQl9cJqzj+sGLeGw8il7RIrQY0JZBS+2QSqXEvozmgqsHl3ad/mJegAenbpP5OgZ1XUNQM4bMdDJfRSLNSM33fSzIz7Tg8yGRfugqIYHgM+Dq6oqjo+MH7+z3raOj82OBeJOe572bl0DwWVGxWsJ/QgGt0SotwFPuCQMK5iYV04O+sirof8D6u4sLzK1ZrOyHg/4lKVvGfZZ2dIau+CztfE2ISrJAIBAIBALBd4o0S9RKVSGSZIFAIBAIBILvFTEnWSVidQvBf8KgQYO++6kWAoFAIBAI/n8QlWSBQCAQCASC75UCmtP//4BIkgUCgUAgEAi+V8ScZJWI6RYCgUAgEAgEAkEuRCVZIBAIBAKB4HtFXLinEpEkCwQCgUAgEHyviCRZJWK6hUAgEAgEAoFAkAtRSRYIBALBv0dNveDcBVQIk0hEnem/RIq4wOyLIG68rBKRJAsEAoFAIBB8r4jpFioRSbJAIBAIBALB94pYAk4l4lyRQCAQCAQCgUCQC1FJFggEAoFAIPheEXfcU4lIkgUCgUAgEAi+V8R0C5WI6RYCgUAgEAgEAkEuRJIs+L/CysoKR0fHr6YdgUAgEAj+n5FmZX2Wx7eISJK/EpycnKhbty76+vqYmprStWtX/Pz8FGKkUilz5syhRIkS6OjoYGVlhbe3t0LM5s2bsbKyokiRIkgkEhISEvK4SpcujUQiUXhMmTIl3/5ZWVnJY7W1tbG0tGThwoVkZmb+67F/SS5evKj0fTh8+DDz588vmE69x/TpjgQH3yYuzo9Tp/ZSuXKFfOO7dLHh6tW/CQ9/REyMLzdvnqBv32552kxJeabw0Cha6pP7dtfTi1GTZtOic3+qNW7HucvXP7mNf0JBeQvS/a2Nee/hY7TtMYhaLTrTy3Y09zwf5xv/16G/6dRvOLVbdKFjn6EcPXlW4fX0jAw2bNuNTc/B1GrRme6/2XH15t283iPHadtrCLVadaPXkDHce/gB7+FjdPp1JLVbdadjvxEc9TiX1+vyFza9h1KrVTe6D7Ln6q17ysfsdoK2fYZTq01Peg0fx71H3krj5O4jJ+g00J7a1r3oOMCOo6cu5InZecCdjgPsqG3di1Y9h7DYeSupqWkKMTqdu2K8ay8mJ09jtGEzmj/9nK/3HZpVq2Fy+hxGm7bkeU1SWA89B0eM9x/G5ORpim7bgVa9+gB0cuzJ0lubWPdkNxP2zqFEhR8+6KplU5+5Z1ay3m8Pc8+spGbbegqvt7PryvSjTqx9vIPld7dgt3kiZmVLKMR0m9iXdT67+DPkAJuD9+N02RmrX60/6J13ZiUb/P5inhKv1a/WzDm5nLVeO1jrtYOphxdQzaqmYhtt66NexByNoj+iWawsqGt9cLxQsJ/pTyZL+nke3yAiSf5KuHTpEqNGjeLmzZucOXOGjIwMrK2tefPmjTxmyZIlrFixAmdnZ+7cuYO5uTlt2rTh1atX8pjk5GRsbGyYNm1avr558+YRHh4uf8yYMeODfRw2bBjh4eH4+fnh4ODAjBkzWLZs2T8fdAFStGhR9PX1C7QP48ePxMFhKGPHzqJJk05ERkZz/Phu9PQKq9wnLi6BJUucsbLqTt26bdm58wCbNy+jdetmCnHe3n6ULl1H/siIf/HJ/UtJeUvF8mWZNs7uk/f9NxSUtyDd39KYT569xKLVmxg2sA8HXJyp9XNVRk6YSXhElNL4vUeOsWqjC3a2/XHbtRG7ob+yYPl6Ll69KY9Zu3k7B46eZNrY3zm6axO9urZnzNT5+PoH5njPXWbRmj8ZNqAXB7auoVb1qoycOIfwSFXeE6zatB27wf1w27keO9t+LFixkYvXbuV4/9zJAfeTTHMcwdGdG+jVpT1jpi3A1z9Iccznr7LIeRvDfu3JgS0rqPVTFUZOmk94ZLRy99GTrPpzJ3aD+uDmuga7QX1ZsGoTF6/flsccO3OJlZt38vtvvXHfvpZ5k+zxuHCVVX/ulMdoW7VAz86eN3t2EjdiGOlejzBwWoyaqWk+fyGQFC5MkSnTSLt/P++LGhoYLlmOupk5SXNnEfvbAF6tWEpWTAy6ffrSZkhH9szayoLOU0iMTmDsrploFy6k0lW2liXDncdy88gl5rWfwM0jlxjuPJYyNcrLYyzrV+XCzlM4dZvGygHzUVdXZ+yOGWjpaANgM7IL1sM78/Z1Cq4T1+N1/j6FDfXpO2cINdrUVekd4TyOG0cuM7f9eG4cucwI53GUqZFTiIgPj+XQ4l380Xkyf3SezJPrj7HfPEkh8dfS1Uaa/pbMN3H5vqe5KcjPtODzIZLkrwQPDw8GDRpE1apVqV69Oi4uLoSGhnLvnqxqIZVKWbVqFdOnT6d79+5Uq1aN7du3k5yczJ49e+TtODo6MmXKFBo0aJCvT19fH3Nzc/lDT0/vg33U1dXF3Nyc0qVLY29vT6tWrXBzcwMgPj6egQMHYmRkhK6uLu3atSMgIEC+r6urK4aGhri5uWFpaUmhQoVo06YNz58/l8cMGjSIrl27KjgdHR2xsrJS2addu3ZRp04d+Xj69etHVJTsS/Hp06e0aNECACMjIyQSCYMGDQLyTrf42P6fOnWKypUro6enh42NDeHh4R9831QxatQQlixx5uhRD3x8/Bk6dDw6OoXo3buLyn2uXLmJu/sp/PwCCQkJZd06F7y8ntCokeIXRUZGBpGR0fLHP7l6uWnDujgM/402Vo0/ed9/Q0F5C9L9LY15x74jdO9oTY/ONpQrXYopjiMxNzVh75HjSuP/9jhPzy7tade6ORYli9O+tRXdO1qzdfcBhZhhA3vTrFE9LEoWp0+3jjSuXxvXvw6/53Wje4c29OjUlnKlLZjiMBxz02LsPXJCuff0eXp2bke7Vs2wKGFO+9bN6d6xDVt3H8qJOXWBYQN60axhXSxKmNOnW3sa16uF694jimM+cJTu7VvTo2Mbyv1owZTRQ2Xuox4q3Bfp2akt7Vo2kblbNaV7+9Zs3ZPT7kNvP2r+VIkOrZtTsrgZjevWpH2rpnj75fww0O3Ri5STJ3h74jiZoc94vd6ZrKhodDqpPoYA6I8dz9tzZ8nwyVvtLmTTHrUi+iTOmk6692OyoiJJf+xFRnAQOt17cmLdYR6cuk2Y/3NcxjujpaNN/S5NVLpa23bA5+ojTq53IyIojJPr3Xhy/TGtbTvIY1b/toDrBy8SFvCCF77PcJm4HuMfTPjxp7IAtLLtwJuEV1zYeYprBy+wwU5WnEmIjOPHn8op9baRe49ke4/w5LqXgvfhuXt4XXxAZEg4kSHhHFn2F6nJbylb01Iec/PIZbJSEpCmp+T7nuamID/Tn4w06/M8vkFEkvyVkpiYCMgqngAhISFERERgbZ1zeklbW5vmzZtz/fqnn8ZZvHgxxsbG1KhRgwULFpCWlvbhnXKho6NDeno6IEtw7969i7u7Ozdu3EAqldK+fXv56yCrci9YsIDt27dz7do1kpKS6NOnzyd73yctLY358+fz8OFD3NzcCAkJkSfCFhYWHDok+8Lz8/MjPDyc1atXK23nY/u/bNkydu7cyeXLlwkNDWXChAn/qN+lS1tQvLgpZ89eURjLlSu3aNCg9ke3Y2XVGEvLsly9ekthe/nyZQgOvo2v71V27FgLamIhG8GXJz09HR+/ABrVq6WwvVG9Wjx87KNyH20txVPY2traePn4k56RAUBaejpaeWK0eJA9pSE9PR0f/0Aa1VM8Vd6obk0ePn6i3JuWjra2pmKbWlp4+X6E1ytnLLIxB9Gobo1c7ho89FbhTk9HWyuXW1sbrycBcnfNnyrj4xeEl68/AM/DIrh88z7NGtSR7aChgYalJWl37yi0k3bvDppVqyn1AhRq2w714iV5s2O70te1GzUm3ccbfYexFDt4hKJbXNDt9ytqJUqibmyM95WH8tiMtAz8b/lQrnZFlb6yNS3xeW8fAO/LnpSrpXofHX1dAN4kvKaYhSmGpkYE3nlC9dZ1MDQrSkZaBi/9n2NoaoT3Zc9P8D6kvAqvRE2Nup0ao6VTiKD7/ir79k0ipluoRHxzfoVIpVLGjRtHkyZNqFZNdrCLiIgAwMzMTCHWzMyMZ8+efVL7Y8aMoVatWhgZGXH79m2mTp1KSEgIW7bknZumjKysLE6fPs2pU6dwdHQkICAAd3d3rl27RqNGjQDYvXs3FhYWuLm50bNnT0D2xeDs7Ez9+rK5bdu3b6dy5crcvn2bevXqqfTlh62trfzfZcuWZc2aNdSrV4/Xr1+jp6cn/5FhamqKoaGh0jY+pf8bN26kXDlZ5cLe3p558+b9o36bm8tOh0ZFKZ6OjYqKoVSpkvnuW6SIPkFBt9DW1iIzM5MxY2Zy/vxV+et37ngydOg4AgKCMTUtxpQpo9EwLCGbcvGN/toXfB3EJySRmZmFcVEjhe3GRobExMYr3adRvdocOuZBy2YNqVKxPN5PAjhy/DQZGRkkJCRhUqwojevXZsfew9SpUQ2LksW5edeTC1dukpkluyYiPjHba5Tba0RMnJIpBcgS90N/n6Zl04ZUsSyHt18gR06cVfTWq8WOfW7UqV5V5r33kAtXb8m9MvcrMrOyMDYyzOU2ICZOxZjr1uTQ8bO0bFI/2x3EkZPZ7sQkTIyL0r5VU+ITExkwehpIpWRkZtK7iw1D+/8CgJqBARJ1DbLiFacBZMXHo5Z93MuNesmS6A0bTrzjaMhSfj2JevHiqNesydtzZ0mYOhn1H35A38ERNfPiACRFJyrEJ0UnYvxDMaVtARiYGCrdp4iJocp9es34jYDbvoT5P6dcLVlVd/+CnXQZ14tltzaTkZ6BmpoaYQHPCbyr/IeIgYkhidEJCtsSoxPyeEtWLMXUwwvQ1NYiNfkt60csITzw06enCb5NRJL8FWJvb8+jR4+4evVqntckEonCc6lUmmfbhxg7dqz83z///DNGRkb06NFDXl1Wxfr169myZYu86jxgwABmz57N2bNn0dDQkCe/AMbGxlSsWBFfX1/5Ng0NDerUqSN/XqlSJQwNDfH19f3HSfKDBw+YM2cOnp6exMXFkZV9hW1oaChVqlT5qDZ8fX0/qv+6urryBBmgePHi8qkdykhNTSU1NRWQjV1HR4foaFkFqlu3wQBIc/34lkgkSHNvzMWrV6+pX78denqFadGiMYsXzyAkJJQrV2RzOE+fviiP9fb249at+8REP0ZNW5+st4kqWhUIPh95jlOoPk6NHNyXmLg4+g8fixQpxkZGdG3fmm27D6KmLjvZOWXMCOYsXkOnfsORSMCiRHG6dmiD2/EzubyKbefrHdSHmLh4+o8Yn+01pGu7VmzbcyjH6zCcOUvW0unX33O87VvjduJsnvbyuKUgQYV7YC9i4hLobzcZqVSKcVFDutq0ZNtfR1BTk7lvP/Bi886DzHAcwc9VKhD6MoJFa7dgYryPkQN7K21XQZ4bNTWKTJvFa1cXMl/kkwSqqZEVn0CapyeGK2Vn3iQammg3aaq8bYlyXa4OKe4iybvtHWN3zqBy459Ie5vGWu+drLV1AqBJrxaUrVGBtUOciH0Zw69/DKNMjQpUbvwTvte8PtIrybMtIjiMee0nolOkMLXb1cd2uT1Les/+vhLlb3Rlis+BSJK/MkaPHo27uzuXL1/mhx9yLh4wNzcHZBXl4sWLy7dHRUXlqS5/Ku/mLwcGBuabJPfv35/p06ejra1NiRIlUFdXB1CZ1ClL4JV9Yb3bpqamlqet96c75ObNmzdYW1tjbW3Nrl27MDExITQ0lLZt237S9JGP7b+mpuLp0Q8ltE5OTsydOxcAPT09zMzMUFfXR0NDH21t2SlcMzMTIt67oMnExJioqJgP9jc4WHb24NEjHypWLM/EiXbyJDk3yckpSDPSQF1T6esCwefCyLAI6upqxMQqVjfj4hMxLmqodJ9C2tr8MW0csyc5EBsXj4lxUQ64n6Swrg5GBkUAKGpkyJpFs0hNTSMhKQnTYsas3LCNksVlxz4jg2xvrsptXHxCngqvgneqI7Mn2hMbl4CJsREH3E/l8hqwxmmGonejq9wrc+ujrqZGTFyCojvhA2OePJrZ43/PcR87reB23raHTtZW9OjYBgDLsqVJSXnL3OXrGf5rT7ISE5FmZqBmpFg1VjMyIis+bwVboqOLZqVKaFQoj77DmOyNakjU1DA5fY6ESRNI93xAVmwsZGSQdu0K8dlzljWrV6fIhMkAFDFVrNAWKWZAUkwCqlBWvdUvZpCnugzQd44t5uV/YHnfecRFxMrcWrI0pZ1dN9YNX4LXBdmZgVfxr4h5Hknb4Z2VJsmJ0QkYmCieWSiixJuZnkHUM9mZ2mdeQZT+uTytbduzc9pmlWP65vhGp0p8DsSc5K8EqVSKvb09hw8f5vz585QpU0bh9TJlymBubs6ZMzmVk7S0NC5duiSfIvBPefDgAYBC8q0MAwMDypcvj4WFhTxBBqhSpQoZGRncupUzLzY2NhZ/f38qV64s35aRkcHduznLNvn5+ZGQkEClSpUAMDExyXMhnKenp8r+PHnyhJiYGBYtWkTTpk2pVKlSnsruu/mE+S1V97H9/1SmTp1KYmIiiYmJvHz5kvv37/PsWSzBwc/w9Q0gPDyKVq1yLnjR1NSkadP63LypfIkpVciW5VO9LJGWlhYSdS3IyvjHYxEIPgZNTU2qVKzAjTsPFLbfuHOf6tXyP7OjqaGBuakJ6urqeJy9RPPG9eVV1Xdoa2thZlKMjMxMzly8RoumDXO8luW5ccczl9eT6tUqfYS3mMx77jLNG9XL33vpOi2a5Jx1ko25HDfu5nLf9aR61U9wn79K84Z15O63qamoqSkWFdTV1ZBKs3/YZ2SQ4e+PVu06CjFateuQ7p136Ttp8htihwwibvhQ+SPlb3cyQp8RN3wo6U9kZ83SvR+jXrIk0rdvyQx7SWbYSyQ6OmTGxJAZG0uVJjlLzKlramBZvwpB9/zy+N4R/MBfYR+AKk2rE3RfcZ++c4dQ06Y+y/vOwe+WN9HPIoh+FkFYwAsSoxPQ0NSQFyXUNTWoWL8KidEJSCTK0xhV3sD7qvsKsuOphtZ3VlAQF+6pRFSSvxJGjRrFnj17OHr0KPr6+vI5yAYGBujo6CCRSHB0dGThwoVUqFCBChUqsHDhQnR1denXr5+8nYiICCIiIggMlF0B7eXlhb6+PqVKlaJo0aLcuHGDmzdv0qJFCwwMDLhz5w5jx46lc+fOlCr16WvpAlSoUIEuXbowbNgwNm3ahL6+PlOmTKFkyZJ06ZJzlbWmpiajR49mzZo1aGpqYm9vT4MGDeRTLVq2bMnSpUvZsWMHDRs2ZNeuXTx+/JiaNWsq9ZYqVQotLS3Wrl3LyJEjefz4cZ61j3/88UckEgnHjh2jffv26Ojo5FnJ42P7/6loa2ujra2tsO39yvS6dVuZOHEUgYFPCQwMYdIke1JS3rJv31F5zJYtKwgLi2DWrCUATJhgx/37jwgOfoaWlhY2Ni3o3787Dg45S/g5OU3n+PGzPH8ehqmpMZMnjwaJGlmprz+p/8nJKYS+CJM/fxkWyRP/IAyK6FPcPP8lpv4NBeUtSPe3NOaBvbsxdf4yqlaqQPVqlTl49CThkdH07tYegJUbXIiKicVppuyi16ehL/Dy9efnKhVJevWa7XsPExD8jAUzci6KfeT9hMjoWCpVKEtUdCzrt+1CKpVi27/He96uTP1jBVUrlad61cocdPcgPCqa3l2zvRtdZd4Z47O9L7O9ljLvPjcCQp6xYPrY97x+RMa888awftsepFlZ2Pb7RXHMPbswdeEqqlYsT/WqFTn492nCI2Po3bmtzL15p8w9zVHmfv4SL9+AHPd+dwJCQlkwxUHeZvOGddlxwJ1K5cvycxVLQl+Gs3brHqwa15UXKZIP7qfIlOlk+PuR7uONToeOqJmakvK3OwCFhwxDrZgJrxYvBKmUzKchCv2WJsQjTUtT2J7i7oZO1+7ojXIgxe0Q6iV/oHC/X0k+fAiyMmk/agBRTyOIDAmn/ajupKWkcutoztRA2+X2xEfGcWSJbNWlc9uOM3H/PGxGdsHzzB1qtKlL5cY/saTnTPk+/eYPpX6XJqwbtoS3b97KK88pScmkp6Zxdusxuk7oy4AFw3FfuV+23rEUSv9cjv1/bM/2jiYhMpbD2d6z204waf88bEZ2xfPMbWq0qUflxj+x+D1vt4n9eHzxAXHhMRQqrEO9To2p2KAKq35bII8pbKAH6lpI1GTvuURdUzZhIysTpKqLLwX5mRZ8PkSS/JWwYcMGgDzLnbm4uMhXa5g0aRIpKSnY2dkRHx9P/fr1OX36tMJ6vxs3bpSf4gdo1qyZQjva2trs27ePuXPnkpqayo8//siwYcOYNGnSv+q/i4sLY8aMoWPHjqSlpdGsWTNOnDihMEVBV1eXyZMn069fP168eEGTJk3Ytm2b/PW2bdsyc+ZMJk2axNu3b7G1tWXgwIF4eSmfb2ZiYoKrqyvTpk1jzZo11KpVi2XLltG5c2d5TMmSJZk7dy5Tpkxh8ODBDBw4EFdX13/U/8/N8uUbKVSoEKtW/YGRURHu3PGkY8dfef06Z21sC4sS8nnWAIUL67J69R+ULFmclJS3+PsHYWvryMGDx94bszk7dqzF2NiImJg4bt9+QEbiy0+uJD9+EoDt6Mny50vWyk4/dmnXmgXZicaXoKC8Ben+lsbcrnVzEpNesdFlD9GxcVQoW5oNy+ZRwlw2RSEmNk5h7eLMrCy2/3WIp6Ev0dBQp16t6uzauEJhSkNqWhpr/9zOi7AIdHV0aNqwLk4zJ1JEP+cHb7tWzWRe170yb5kf2bBkDiWyE5KY2HiFdYszs7LYvu9Ijrfmz+zasFSJdycvwrO9DWrjNHO8ghegXcsmJCYlsXH7PqLj4qlQphQbFs98zx2X173/KE+fv0RDQ4N6Naqxy3mRgnvEgF5IJBLWbt1NVEwcRoZFsGpUF4ch/XP6d/ECr4sYUHjAQNSKGpPxNITEqZPJiooEQM3YGPUPrJmcm6zoaBImT0D/91Ho/LmNrJgYkg8fInnvHsjK4uabovSbP5TCBoUJ9gxk5YA/SH3zVr5/0ZLFFKahBd33Z/PoVXSd0Icu4/oQHRrBZvuVhHjmLGXXYoDsx8TEfTnfXQAuE9Zx/eBFPDYeRa9oEVoMaMugpXZIpVJiX0Zz3vUkF3edBsC4ZDGk71Uzg+77sXn0SrpO6EvXcb2JDo3M9uYs7VmkmAFDVo7GwMSIlFfJvHjyjFW/LcDn6iN5TPU2ddA0ypn6qFFE9jfKTI4nK1n5hZlQsJ/pT6YAp1usX7+epUuXEh4eTtWqVVm1ahVNmzZVGZ+amsq8efPYtWsXERER/PDDD0yfPl3hIv7PiUT6oauEBILPgKurK46OjkrvAPg9oaPzY4F4k57nvZuXQPDNoGKlhi9OZsFNYYr/dWSBeKcHFVwVVKriYr8vzYa7SwrEC8ju8veFeT31lw8HfQR6Toc+HPQe+/btY8CAAaxfv57GjRuzadMmtmzZgo+Pj8oz2126dCEyMpI//viD8uXLExUVRUZGxr+edqoKUUkWCAQCgUAgEPynrFixgiFDhjB06FAAVq1axalTp9iwYQNOTk554j08PLh06RLBwcHy5V1Lly79RfsoLtwTCAQCgUAg+F75TDcTSU1NJSkpSeHxbhnU3KSlpXHv3j2FG6QBWFtbq7xBmru7O3Xq1GHJkiWULFkSS0tLJkyYQErKp90N8VMQSbLgP2HQoEHf/VQLgUAgEAi+Oj5Tkuzk5ISBgYHCQ1lFGCAmJobMzEylN0h7t3BBboKDg7l69SqPHz/myJEjrFq1ioMHDzJq1KjP/pa8Q0y3EAgEAoFAIBD8K6ZOncq4ceMUtuVe4Sk3n3KDtKysLCQSCbt378bAwACQTdno0aMH69atQ0dH51/0XjkiSRYIBAKBQCD4XvlMaxwrW/ZUFcWKydYHz101zu8GacWLF6dkyZLyBBmgcuXKSKVSXrx4QYUKFf5551UgplsIBAKBQCAQfK98pukWn4KWlha1a9dWuEEawJkzZ1SuVNG4cWPCwsJ4/TpnzX9/f3/U1NQU7lD8ORFJskAgEAgEAoHgP2XcuHFs2bKFbdu24evry9ixYwkNDWXkSNnyhlOnTmXgwIHy+H79+mFsbMzgwYPx8fHh8uXLTJw4EVtb2y8y1QLEdAuBQCAQCASC7xZpAd1MpHfv3sTGxjJv3jzCw8OpVq0aJ06c4McfZfcTCA8PJzQ0VB6vp6fHmTNnGD16NHXq1MHY2JhevXrxxx9/fLE+iiRZIBAIBAKB4HulAO+4Z2dnh52dndLXlN0dt1KlSnmmaHxJRJIsEPyHqKm4alcgEAg+Bcl3OFny81xeJshDlnhnVfEdfswEAoFAIBAIBIL8EZVkgUAgEAgEgu+VApxu8bUjkmSBQCAQCASC7xWRJKtETLcQCAQCgUAgEAhyISrJAoFAIBAIBN8pUqmoJKtCJMkCgUAgEAgE3ytiuoVKxHQLwf8VVlZWODo6fjXtCAQCgUAg+DYRSfJXgpOTE3Xr1kVfXx9TU1O6du2Kn5+fQoxUKmXOnDmUKFECHR0drKys8Pb2VojZvHkzVlZWFClSBIlEQkJCQh5XfHw8AwYMwMDAAAMDAwYMGKA07n2srKyQSCRIJBK0tbWxtLRk4cKFZGZm/tuhf1EuXryo9H04fPgw8+fPL5hOvce06Y4EBt0iJvYJJz32UrlyhXzjO3dpy5Wr7rwMe0RUtA83bp6gb99uedp8k/xU4aFRtNQn9+2upxejJs2mRef+VGvcjnOXr39yG/+EgvIWpFuM+fN49x45TtteQ6jVqhu9hozh3sPH+cb/dfgYnX4dSe1W3enYbwRHPc4pvJ6ekcEGl7+w6T2UWq260X2QPVdv3VPudjtB2z7DqdWmJ72Gj+PeI2+lcXL3kRN0GmhPbetedBxgx9FTF/LE7DzgTscBdtS27kWrnkNY7LyV1NQ0hZhCnbpSdMdeih0/jeG6zWhW+zlf7zs0qlajmMc5jDZuyfOapLAeeqMdKbr3MMWOn8Zo6w606tUHoJNjT5be2sS6J7uZsHcOJSr88EFXLZv6zD2zkvV+e5h7ZiU129ZTeL2dXVemH3Vi7eMdLL+7BbvNEzErW0Ih5s+nB9j29GCeh83wziq9tW3q88eZlWzy+4s/zqykVi6v1a/WzD25nHVeO1jntYNphxfwk1VNhRht3UKoFTZGw6gUGsal0TD8AbVC+h8cc0F+pj+ZLOnneXyDiCT5K+HSpUuMGjWKmzdvcubMGTIyMrC2tubNmzfymCVLlrBixQqcnZ25c+cO5ubmtGnThlevXsljkpOTsbGxYdq0aSpd/fr1w9PTEw8PDzw8PPD09GTAgAEf7OOwYcMIDw/Hz88PBwcHZsyYwbJly/7dwAuIokWLoq//4QPdl2TcuJGMHj2EceNm0axpZyIjo/n72C709Aqr3Cc+LpElS9bRskU36tezYeeOA2zctJTWrZspxPl4+1G2TF35IyP+xSf3LyXlLRXLl2XaOOV3Q/pSFJS3IN1izP+ek+cus2jNnwwb0IsDW9dQq3pVRk6cQ3hklNL4vUdOsGrTduwG98Nt53rsbPuxYMVGLl67JY9Z++dODrifZJrjCI7u3ECvLu0ZM20Bvv5Biu7zV1nkvI1hv/bkwJYV1PqpCiMnzSc8Mlq5++hJVv25E7tBfXBzXYPdoL4sWLWJi9dvy2OOnbnEys07+f233rhvX8u8SfZ4XLjKqj93ymO0m7dA73d7kv/aSfzvw0h//AiDhYtRMzHN972S6BamyKRppD+4n/dFDQ0MFi9HzcycpPmziBs8gFcrlpIZE4NO7760GdKRPbO2sqDzFBKjExi7aybahQupdJWtZclw57HcPHKJee0ncPPIJYY7j6VMjfLyGMv6Vbmw8xRO3aaxcsB81NXVGbtjBlo62gDYjOzC29cpbJu0nkV9ZnH/9G2SE9+QlZXFvZM3lXrL1bJkpPM4rh+5zOz247l+5DIjncdRtkZOISI+PJaDi3cxr/Nk5nWezJPrjxm9eZJC4t9n5iDUtHTJfB1FRvwLMlMSUStcDImWbr7vcUF+pj8VaZb0szy+RUSS/JXg4eHBoEGDqFq1KtWrV8fFxYXQ0FDu3ZNVLaRSKatWrWL69Ol0796datWqsX37dpKTk9mzZ4+8HUdHR6ZMmUKDBg2Uenx9ffHw8GDLli00bNiQhg0b8ueff3Ls2LE8levc6OrqYm5uTunSpbG3t6dVq1a4ubkBsur0wIEDMTIyQldXl3bt2hEQECDf19XVFUNDQ9zc3LC0tKRQoUK0adOG58+fy2MGDRpE165dFZyOjo5YWVmp7NOuXbuoU6cO+vr6mJub069fP6KiZF+KT58+pUWLFgAYGRkhkUgYNGgQkHe6xcf2/9SpU1SuXBk9PT1sbGwIDw/P9z3Lj1H2tixdsg73o6fw8fFn+LDx6Ojo0Kt3F5X7XLlyk7/dT+HnF0RISCjr17vw+PETGjaqoxCXkZlJZGS0/IH00++o1LRhXRyG/0Ybq8afvO+/oaC8BekWY/737NjnRvcObejRqS3lSlswxWE45qbF2HvkhNL4v0+fp2fndrRr1QyLEua0b92c7h3bsHX3oZyYUxcYNqAXzRrWxaKEOX26tadxvVq47j2i6D5wlO7tW9OjYxvK/WjBlNFDZe6jHircF+nZqS3tWjaRuVs1pXv71mzdk9PuQ28/av5UiQ6tm1OyuBmN69akfaumePsFymN0funFW48TvD15nMzQZ7zZ4ExmdDQ6nVQfQwD0HMfz9vxZ0n3yVrsL2bRHTV+fpNnTyfB+TFZUJBneXmQGB6HTrScn1h3mwanbhPk/x2W8M1o62tTv0kSlq7VtB3yuPuLkejcigsI4ud6NJ9cf09q2gzxm9W8LuH7wImEBL3jh+wyXiesx/sGEH38qC0Ar2w4cdz7E1f3n8b/pw0b7FWjpahMRHE70c+U/gtpke0+sP0JEUBgn1h/B97oXbd7zPjx3D6+LD4gMCScyJJzDy/7ibfJbytW0lMeUq2VJ1ttXSNPfQlYG0tRXkJmGREM73/e4ID/Tgs+HSJK/UhITEwFZxRMgJCSEiIgIrK2t5THa2to0b96c69c//jTOjRs3MDAwoH79+vJtDRo0wMDA4JPaAdDR0SE9PR2QJbh3797F3d2dGzduIJVKad++vfx1kFW5FyxYwPbt27l27RpJSUn06dPnk5y5SUtLY/78+Tx8+BA3NzdCQkLkibCFhQWHDsm+8Pz8/AgPD2f16tVK2/nY/i9btoydO3dy+fJlQkNDmTBhwj/qd+nSFpibm3Lu3BWFsVy9eosG9Wt/dDtWVo2oUKEs167eVtherlxpAoNu4e1zBdfta0FNXKMr+HZJT0/Hxz+QRvUUT5U3qluTh4+fKN8nLR1tbU2FbdpaWnj5+pOekQFAWno6WlpaijHaWjzw8lF0+wXRqG6NXO4aPPRW4U5PR1srl1tbG68nAXJ3zZ8q4+MXhJevPwDPwyK4fPM+zRpk/yDW0EDD0pK0e3cU2km7dweNqtWUegG027ZDvURJknduV/q6VsPGpPt4ozd6LMb7j2C02QXdvr+iVqIk6sbGeF95KI/NSMvA/5YP5WpXVOkrW9MSn/f2AfC+7Em5Wqr30dGXVWnfJLymmIUphqZGCl7dIoVRU1fjVWyiyjbK1bTkcS7v48sPVXolamrU69QYbZ1CBN33l28PuPtEVjVWU5fFaRYCNU2kackq3f93iOkWKhHfnF8hUqmUcePG0aRJE6pVkx3sIiIiADAzM1OINTMz49mzZx/ddkREBKameU/FmZqayh0fIisri9OnT3Pq1CkcHR0JCAjA3d2da9eu0ahRIwB2796NhYUFbm5u9OzZE5B9MTg7O8sT9O3bt1O5cmVu375NvXr1VPryw9bWVv7vsmXLsmbNGurVq8fr16/R09OT/8gwNTXF0NBQaRuf0v+NGzdSrlw5AOzt7Zk3b94/6reZmQkAkVGKp2OjoqIpZZH/HL8iRfQJCLyJtrYWmZlZjHWcwfnzV+Wv373jybCh4wgMDMHUtBiTJo9Gw7CEbMrFP6goCwRfO/GJSWRmZmFsZKSw3djIiJg4JVMKgEb1anHo79O0bNqQKpbl8PYL5MiJs2RkZJCQkIRJsaI0rleLHfvcqFO9KhYli3Pz3kMuXL1FZlbOtRjxia/IzMrC2Mgwl9uAmLh45e66NTl0/Cwtm9TPdgdx5GS2OzEJE+OitG/VlPjERAaMngZSKRmZmfTuYsPQ/r8AoGZggERdg6z4OIW2pfHxqBkVVepVL1kSvSHDSRg7GrKUX0+ibl4c9Ro1eXvuLInTJ6Ne8gf0RjuiZl4cgKRoxcQ0KToR4x+KKW0LwMDEUOk+RUwMVe7Ta8ZvBNz2Jcz/OeVqWebxNvrFisz0DDLS0lU1ke1NyOVNwCCXt2TFUkw/vABNbS1Sk9/iPGIJYYE509P2zNlG818aoln0R/lSaZmvo5FmpKp0/98hvhZUIpLkrxB7e3sePXrE1atX87wmkUgUnkul0jzbPoSy+I9pZ/369WzZsoW0NNmFIwMGDGD27NmcPXsWDQ0Nheq0sbExFStWxNfXV75NQ0ODOnVypgVUqlQJQ0NDfH19/3GS/ODBA+bMmYOnpydxcXFkZck+7aGhoVSpUuWj2vD19f2o/uvq6soTZIDixYvLp3YoIzU1ldRU2YFUQ0MDHR0dIqNkpzd/6Z6d3Odan1IikSAl/1/kr169pmGD9ujpFcbKqhFOi2YSEvKcK1dkc/NOn74oj/X29uPWrftERXmhpq1P1lvVlReB4P+d3IcwKaqPayMH9SEmLp7+I8YjRYqxkSFd27Vi255DqKnLTrJOcRjOnCVr6fTr70gkYFGiOF3bt8btxNkPu6UgQYV7YC9i4hLobzcZqVSKcVFDutq0ZNtfR1BTk7lvP/Bi886DzHAcwc9VKhD6MoJFa7dgYryPkQN7vz/IXB0hz3EFADU19KfO4s0OFzJf5nONgpoaWQkJpD/0xHB59pk3DU20GjfNGVgu34eX2c19nFPWcRljd86gcuOfSHubxlrvnay1dcrjbdqrJVHPIuTH+4/3SvJsiwgOY077iegWKUztdvUZutyexb1nyxPl1oPaI9HQJiMpAmlmBmqahVAvXIzMrEyk6SkfGvj/Bd/qfOLPgUiSvzJGjx6Nu7s7ly9f5ocfciqK5ubmgKwSXLx4cfn2qKioPNXl/DA3NycyMjLP9ujo6A+2079/f6ZPn462tjYlSpRAXV12+knVQuTKEm9lX1jvtqmpqeVp6/3pDrl58+YN1tbWWFtbs2vXLkxMTAgNDaVt27byRP5j+Nj+a2oqnh6VSCT5LsLu5OTE3LlzAdDT08PMzAwNDX00NYqgrS07hWtmZkpERE412cSkGFGRMR/sb3Cw7OzBo/+xd95hUR3fH36XXsSlixp7wZaoWLFXFFRAv7ZgRIM1ioq9xxajsceCXbF3xRLFWGI3GgsKioAookivgsACu78/MIsLLJafitF5n+c+Dzv3zHzmXvbOnnvumbl372NdrTLjxg1TOsl5efkyDUWWDDS1C9wvEPzXMZEWR1NTI1/kNj4hMV+E91/0dHX5ZbIHM8a7ExefiIWZCfuOnMTQQB8TaXEATE2kLJ83jYwMGYnJyViam7F0jRelS+aOlSZSIzQ1NIiNT1TVTkzCzLQQ7YkjmDH2p1ztY3+qaK/ctJMudq3o3rk9AFUrlictLZ1Ziz0Z/EMP5ElJOU6bqWrUWGJsgjwxfwRbom+AtnU1tCpXppj7qFeFGkg0NDD3OUPSpHFk+t5GHh8HWVnIrlwkPiDnpl7n29oYjZsIQHFLY5Jei9AWN5eSHJuIOpJiEvNFjY3MpfmiywDfz3TDqvI3LP5+NvGRcQBo62gpdeNjEqjSoDolK5XmwVV/kmPV3/Tn6Ko+WTAyl5KURzc7M4voJzlPUUP9QqjwXWXauTmwdco6tHV1+N/478lOjVU6xPJsGRItHTT0pWR/IU6yQD0iJ/kzQaFQ4O7uzsGDBzl79iwVKlRQ2V+hQgWsrKw4deqUskwmk3H+/HllisDbYGtrS1JSEtev5+awXrt2jaSkpDe2I5VKqVy5MmXKlFE6yAA1atQgKyuLa9dyZ4XHxcURFBRE9erVlWVZWVncuHFD+TkwMJDExESqVasGgIWFRb6JcL6+vmr78+DBA2JjY5k/fz7NmzenWrVq+SK7/+YTFrZU3dv2/12ZPHkySUlJJCUlER4ezq1btwh7Es+jR08ICAgmMjKaNm1yJ7xoa2vTrFkj/lazxJQ6JBIJOro6avfr6Ogg0dQBedZ7H4tA8Dmjra1NjaqVufqPr0r51X98qV2rWuF1tbSwsjRHU1MTnzMXaNmkoTKa+y+6ujqUsDAnKzubU+ev0LpZ7lMnbW1talhX4uqNPNo3fKld8x20z16ipW19pXZ6RgYaGqpBBU1NDRSKVzf2WVlkBQWhY6M6aVfHpj5Z9/Ivfad4mUr8oP4kDB2o3NKPHSEr7AkJQweS+SDnqVnWPX80S5VGkZ6O/Hk48ufhSAz0yY6LJTsujhrNcpeY09TWomqjGoTcVD/p+9HtIJU6ADWa1ybklmqd72cNoG7HRiz+fiaB1+4R8ySSmCeRPA9+RmJ0grKN5r3aEOoXQtmaFXhYiG7I7SBq5tGtVYBuPiQStF7li2tqayr/fp0v7gV1IidZLSKS/JkwfPhwdu7cyeHDhzEyMlLmB0ulUvT19ZFIJHh4ePDrr79SpUoVqlSpwq+//oqBgQEuLi7KdiIjI4mMjOThw5wZ0H5+fhgZGVG2bFlMTU2pXr06HTt2ZNCgQaxduxaAwYMH07lzZ6yt1U+kKIwqVarg5OSkbNPIyIhJkyZRunRpnJxyZ1lra2szYsQIli9fjra2Nu7u7jRu3FiZatGmTRsWLlzI1q1bsbW1Zfv27fj7+1O3bt0CdcuWLYuOjg4rVqxg6NCh+Pv751v7uFy5ckgkEo4dO4aDgwP6+voUK1bsvfr/rujq6qKrqzoD+vXI9KqVmxg3fjgPQ0IJefiY8eOHk5aWxt49h5U269cv5vnzKGbMWADAuHHDuHXrLo8ePUFHR4cOHVrh4tKNUaOmKev8+usUjh8/w9On4VhYmjNxojtINJBnpLxT/1++TCPs2XPl5/DnUTwICkFa3IiSVoUvMfX/oah0i1JbHPP/X9e1lzOTf1lCzWqVqV2zOvuP+BARHUMvZwcAlq7xIjo2jnnTxgIQGhaOX0AQ39WoSvKLFLbs8Sb48RPmTh2tbPPuvUCiYuOoVqUi0TGxeG7aiUIux83lf6raPZyY/OsyalpXpnZNa/Yf/ZOIqFh6OXbI0V63LUd7ikeO9tNw/AKCc7X3HiH4cRhzJ41UttnStgFb9x2hWuWKfFejKmHhEazYuJNWTRsogxRpB/ZiNHEqWUGBZAbcQ8+hM5qWlqQdOwKAodsgNMwteLHgV1AoyA59rNJveWICZMpUytOOeqPn1I1iw0aS5n0AzdLfYPD9D6R5H0CRnY3D8L5Eh0YS9TgCh+HdkKVlcO1wbmqg22J3EqLiObQgZ9WlM5v+YPze2XQc6oTvqX+o074B1Zt+y4Ie05V1XOYMpJFTM1YNWkB6aroy8pyW/JLMDBlnNv2Bw/BuxEXG0bBTE8KDnr7SzZ34PHDxCBKi4jjwSvfUpuNM2jsb+6HO3D51nbrtG1K96bfMf02323gX/M7dJj4iFj1DfRp1aUq1xjVY0m8uAOkpaTz4+x7W9avkRJOzs5Bo66GhVwx5alwh38aivabfGZGTrBbhJH8mrF69GiDfcmebN29WrtYwYcIE0tLSGDZsGAkJCTRq1Ig///xTZb3fNWvWKB/xA7Ro0SJfOzt27GDkyJHKlTIcHR1ZuXLl/6v/mzdvZtSoUXTu3BmZTEaLFi04fvy4SoqCgYEBEydOxMXFhWfPntGsWTM2bdqk3N+hQwemT5/OhAkTSE9Px83NDVdXV/z8/ArUtLCwwMvLiylTprB8+XJsbGxYtGgRjo65i8uXLl2aWbNmMWnSJH788UdcXV3x8vJ6r/5/aJYsWYOevh7Lls3B2FjKP//44tilLykpuWtjf1OmNPLX7tANDPVZumwOpUuXJC0tnaCgEAa4jebAgWNKm1KlS+K1ZTlmZibExsZz/fptspLC3zmS7P8gGLcRE5WfF6xYB4CTfTvmvnI0PgZFpVuU2uKY//+69m1bkJT8gjVeu4mJi6dKhXKsXjCTUq8ckti4BJV1i7PlcrbsOURoWDhaWpo0rPsd21cvVEmlyJDJWLF+G88iIjHQ16d543rMmz6W4kaqN9r2bZqRlJzMmi17iIlPoEqFsqz+bfpr2vH5tfceJvRpOFpaWjSsU4vtK+eraA/p2xOJRMKKjTuIjo3HxLg4rZo0YOSAPrn9O/8XkuJSDH5wRcPUjKzQxyRNnYg8OielTsPMDI0CJmoXhjwmhqRJ4yj203BM1m1CHhtL2qEDvNyzE+RyrqaY4jJnIIZSQx75PmRp31/ISE1X1jctba6ShhZyK4h1I5bhPK43TmN6ExMWyTr3pTz2zV3KrnXfnJuJ8Xtyf7sANo9bxZX95/BZcxhtPR36zhmEtp4OWZlZLO47h/Q8uvLXJiaH3ApkzYildBv3PV3H9CI6LIo17kt55Ju7tKfUXMqgpSOQWpiQ9uIlzx48YUm/udy/dFdps2bEUpZcXIpmMUvQ0IDsLOSpCcjTc99PUBBFeU0LPhwSRWFJlQLBB8LLywsPD483vtnvS8fQoHyR6CaGnS0SXYHgk6BmpYaPTnbRpTAlug4tEt0pwUUXBc1+w6Tmj8XaGwuKRBdA27ziR9dI6NHqg7Rjsu/cB2nnc0JEkgUCgUAgEAi+VkS6hVrExD2BQCAQCAQCgSAPwkkWfBL69+//1adaCAQCgUDwuaGQKz7I9iUi0i0EAoFAIBAIvlZEuoVaRCRZIBAIBAKBQCDIg4gkCwQCgUAgEHylKEQkWS3CSRYIBAKBQCD4WhFOslqEkywQCAQCgUDwlSIiyeoROckCgUAgEAgEAkEeRCRZIBAIBAKB4GtFRJLVIpxkgeATIkFS1F0QCL48NDSLugefHMlX+OudKfICPgritKpHpFsIBAKBQCAQCAR5+ArvRQUCgUAgEAgEICLJhSGcZIFAIBAIBIKvFOEkq0ekWwgEAoFAIBAIBHkQkWSBQCAQCASCrxWFmFCuDuEkCwQCgUAgEHyliHQL9Yh0C8F/ilatWuHh4fHZtCMQCAQCgeDLRDjJnwnz5s2jQYMGGBkZYWlpibOzM4GBgSo2CoWCmTNnUqpUKfT19WnVqhX37t1TscnIyGDEiBGYm5tjaGiIo6Mjz549U7FJSEigb9++SKVSpFIpffv2JTExsdD+tWrVColEgkQiQVdXl6pVq/Lrr7+SnZ39QY7/Y3Hu3DkkEkm+4zt48CBz5swpmk69xpSpowgO+ZuYuABO+OyievUqhdo7OnXgwqXDPHt+h6iYe1z5+w96f99Vrf3YcT+R8vIxGoZmyrLdB4/RoXt/bFo70tNtBDd9/QvV3HXgKF1cBlOvtROdew/k8InTKvszs7JYvWkHHXv8iE1rR7r1G8alv2+8xdEXzA1fP4ZPmEFrxz7UamrPmQtX3rut/4q2OOb//jHvPvQHHXoOwKZtV3oOGMXNO2+4rg4eo8sPQ6nXthudXYZw2OeMyv7MrCxWb95Fx14DsWnblW793bl07Wa+dvQ6OWOyeTdmh//EePk6tGp+91b91apRC7NjZzBeuUGlXPrbMsxPnM+3FZ81H4AuHj1YeG0tqx7sYNzumZSq8s0btWw6NmLWqaV4Bu5k1qml1O3QUGW//TBnph6exwr/rSy+sYFh68ZTomIpFZsuHj1YdXMzWx7txytkH+sDdjLj0HzMSpmr1a1v35j5p39nU9Ae5p/+nXodGqns7+rRi21PDqpsK/7ZqNyvqaVJr0l90TL+Bi2z8miZlGXPH+c+6/HzfVDIJR9k+xIRTvJnwvnz5xk+fDh///03p06dIisrCzs7O1JTU5U2CxYsYMmSJaxcuZJ//vkHKysr2rdvz4sXL5Q2Hh4eHDp0iN27d3Pp0iVSUlLo3LmzijPr4uKCr68vPj4++Pj44OvrS9++fd/Yx0GDBhEREUFgYCAjR45k2rRpLFq06MOeiE+EqakpRkZGRdqH0WOG4D5iAGPHzKBlcyeiomI4cmwbxYoZqq2TEJ/IwgWraNu6G40b2rN96z7WrF1A23Yt8tna1PuOH92+x+9ugLLsxOnzzP99LYNce7Nv80psvqvJ0HHTiYiMLlBv96FjLFuzmWFuffDevoZhA39g7mJPzl36W2mzYt0W9h0+wZTRP3F4+1p6OjswavIcAoIevtd5SUtLx7pyRaaMGfZe9f8/FJW2OOZPy4fWPnHmAvOXr2dQ357s27gcm9o1GTp+JhFR6q6r4yxbu4VhP7rgvc2TYW4uzF2yhnOXryltVqzfxr4jJ5jiMYTD21bT08mBUVPmEhAUorTRadEawyHuvNy9jUT3QWTeu4t0zm9oWFgW2l+JgSFG46aQ6Xsr377kOdOJc+mq3BKG9EORnUXGxXPo9/ie9gM6s/Pnjcx1nERSTCKjt09H11BPrVZFm6oMXjmavw+dZ7bDOP4+dJ7BK0dToU5lpU3VRjX5a9tJ5nWdwtK+c9DU1GT01mno6OsC0HGoE3aDuqCtp8PF/We5d/kuGS/T+WP9YTIzMgvUrWxTFfeVY7l88DxT7cdw+eB53FeNpVId1UDEs8Aw3Ou7KbcpHUbnnl99XcrXqkj2ywSyEsM5dnA38xcsZsiQoZ/t+Pk+KOQfZvsSEU7yZ4KPjw/9+/enZs2a1K5dm82bNxMWFsbNmzmRA4VCwbJly5g6dSrdunWjVq1abNmyhZcvX7Jz504AkpKS2LhxI4sXL6Zdu3bUrVuX7du34+fnx+nTOXevAQEB+Pj4sGHDBmxtbbG1tWX9+vUcO3YsX+Q6LwYGBlhZWVG+fHnc3d1p27Yt3t7eQE502tXVFRMTEwwMDLC3tyc4OFhZ18vLC2NjY7y9valatSp6enq0b9+ep0+fKm369++Ps7OziqaHhwetWrVS26ft27dTv359jIyMsLKywsXFhejonAErNDSU1q1bA2BiYoJEIqF///5A/nSLt+3/yZMnqV69OsWKFaNjx45EREQUes4KY7i7GwsXrOLI4ZPcvx/E4EHj0NfXp2cvR7V1Ll68xtEjfxIYGMLjx2F4enrh7/+AJk3qq9gZGhqwcdMy3IdPJjExSVm+dc8hunW2o7tjRyqVL8skj6FYWVqw+9AfBeod9TlLDycH7Nu1pEzpkji0a0W3znZs3LFPxWaQay9aNGlImdIl6d21M00b1cNr18H3Oi/NbRswcnA/2rdq+l71/z8UlbY45k/Lh9beusebbp3a071LByqVL8OkkYOxsjRn96HjBdof/fMsPRztsW/bgjKlrHBo15JunduzcceBXJuTfzGob09a2DagTCkrend1oGlDG7x2H1La6HftSfqfx8k4+QfZT5+QunYl2TEx6HVyKrS/xUaOJeOv02QF3Mu3T5HyAkVCvHLTtqmPIiMjx0l27sHxVQe5ffI6z4OesnnsSnT0dWnk1EytVju3Tty/dJcTnt5EhjznhKc3D674086tk9Lm935zubL/HM+Dn/Es4Ambx3ti9o0F5b6tCEBbt07EPIni5p/X2DDBk6UD56GlrY2RsRHJcUkF6nZw64L/pTsc9TxIREg4Rz0Pcv+yHx3cOqvYZWdlkxSTqNxexCcr96W9eMlvP8xCIUuF7Ey27NxLN0d7en3vQqWKFT7L8fN9UCgkH2T7EhFO8mdKUlLOhW9qagrA48ePiYyMxM7OTmmjq6tLy5YtuXIl51HhzZs3yczMVLEpVaoUtWrVUtpcvXoVqVRKo0a5j50aN26MVCpV2rwt+vr6ZGbm3MX379+fGzducOTIEa5evYpCocDBwUG5H+Dly5fMnTuXLVu2cPnyZZKTk+ndu/c7aeZFJpMxZ84c7ty5g7e3N48fP1Y6wmXKlOHAgZwfncDAQCIiIvj9998LbOdt+79o0SK2bdvGhQsXCAsLY9y4ce/V7/Lly2BlZcmZMxdVjuXSpWs0alTvrdtp1aoJVapU5NKl6yrlS5bO5qTPWc79dVlZlpmZyf3AYJo0tFGxbdLQhjv+9wtsPzMzE10dHZUyXV1d/O4HkZmVldPvzEx08tnocPtu/h9ggeBLIzMzk/tBD2nSsK5KeZMGdbnj/6DgOrJMdHW1Vcp0dXTwC3iL68rv1bWqpYVWlapk3vpHte1b/6Bdo5ba/uq2t0ejZGle7tjyVsenZ9cJ2fmzaJiYoGFqxr2Ld5T7smRZBF27T6V61mrrV6xblfuv1QG4d8GXSjbq6+gbGQCQmpiCeRlLjC1NsCxvReTjCMZvnc7vV9eDQkHjLupvcirbVMX/gq9Kmd+F21SpV02lzKpCSZZf38CSS6sZvmIMFmVKFNiecvxs1BCFQqEMnYrx88tGOMmfIQqFgjFjxtCsWTNq1coZ7CIjIwEoUUL1Ai5RooRyX2RkJDo6OpiYmBRqY2mZ/1GcpaWl0uZNyOVyfHx8OHnyJG3btiU4OJgjR46wYcMGmjdvTu3atdmxYwfh4eHKSDPkDBgrV67E1taWevXqsWXLFq5cucL169fVi70BNzc37O3tqVixIo0bN2b58uWcOHGClJQUNDU1lTcZlpaWWFlZIZVK87XxLv1fs2YN9evXx8bGBnd3d86cOZOvvbehRAkLAKKjY1XKY6JjlfvUUby4EZHR/iQkBbH/4CbGjZ3JX2cvKfd3796ZOnVqMuPnBSr1EhKTyc6WY2aq+v0wMzEmNi6hQK0mDetx4JgP9x4Eo1Ao8A8I4tAff5KVlUViYk7EpWmjemzdfZAnT8ORy+VcuX6Lvy7+TUxc/NudDIHgP0xC0qvryiTvdWVCbLy668qGA0f/5F7gw5zr6kEwh46fVr2uGtqwdY937nX1z23+unRNeV1pFJci0dRCnqB6nckTE5CYmBaoq1GqNIY/DubFgjkgf/N8Eq2q1dCqUJF0n2NovGozOUY1cpsck4TUwlhtG1IL4wLrFC+kTs9p/Qi+HsDzoKfKtnUN9OjyU1f8zt/mt76ziAyNoLptLao1qlFgG8YWxiTFquomxar2NcQ3iDVjlrOg72w2TlyN1MKYnw/+SjHjYvna+3f8tChVDkVGCigUwJcxfop0C/UIJ/kzxN3dnbt377Jr1658+yQS1UcaCoUiX1le8toUZP827Xh6elKsWDH09PRwdHTkhx9+YMaMGQQEBKClpaUSnTYzM8Pa2pqAgNx8WC0tLerXz00LqFatGsbGxio278rt27dxcnKiXLlyGBkZKVMzwsLC3rqNt+2/gYEBlSpVUn4uWbKkMrWjIDIyMkhOTiY5OZmXL1+iUCiIjPYnMtofbe2cKJLi1UCrRCJBgaKA1nJ58SKFJo070aK5E7NmLmLe/Gk0b57T99KlS7Jg4QwGDBhDRoaswPr5vkOo/98P/fF7mjWuT5/Bo6nTsjMjJ83G2aEdABqaOcPHpFFDKFemNF1cBlO3VRd+XeKJc6f2aGpoFnocAsGXRN5LqNDrqn9vmjWuR58hY6nT2omRk+fgbN8WeO26GjmYct+UossPP1G3jTO/Ll2Ds0O7/NdV3uFCgtKBU0FDA6OJP/Ny+2bk4c/y78+Dbut2SBevQiGXI52/FLRerRibb8wqWK6wTuacloIrjd42jdptbShbqwIr7m1DUzt3pdqbp67js/EYYfdDCQsIJTkumTZ9OqhXVeTVlaiU3T13mxsn/uZZYBj3Lt9l8Y9zAWjWvbXaNiUaErJTc4MbX8L4WZQT9zw9PalQoQJ6enrUq1ePixcvvrkScPnyZbS0tKhTp8576b4tYp3kz4wRI0Zw5MgRLly4wDff5M4atrKyAnIiwSVLllSWR0dHK6PLVlZWyGQyEhISVKLJ0dHRNGnSRGkTFRWVTzcmJiZflDovffr0YerUqejq6lKqVCk0NXMu4nyO3isKcrwLGkz+LdPQ0MjX1uvpDnlJTU3Fzs4OOzs7tm/fjoWFBWFhYXTo0AGZrGAHUV0/36b//zq2r/dbXV3IWbFk1qxZABQrVowSJUqgrWWEtpYUXd2cx2slSlgQFRmjrGNhYUZ0VGyB7b3er0ePngDgdzcA62qVGTtuGBcvXqOuTS0sS5hz6fIRpb2WlhYKhQLzit+hqalBbJ4IRXxCEmamxgVq6enq8suUMcyYMJK4+AQszEzZd+QEhgb6mEiLA2BqYszy+T+TkSEjMTkZS3Mzlq7eROmShX+fBIIvARNp8ZzrKk/UOD4hETMT4wLr6Onq8stkD2aMdycuPhELMxP2HTmZ57qSsnzeNNXrao2X8rqSJyehyM5Cw1Q1aqwhNUGRmD+yKdE3QLtqNbQqVcZw2KhXhRpINDQwO3aG5KnjyLxzW2kvu3UDhSyDNO/9ZJw+ieTV+Ffc0pikmESlXXFzKcmxiagjKSYxX9TYyFyaL7oM8P1MN6wqf8Pi72cTHxkHgLZOjpuSlZnF8+Bc5764mZTkuCTMShf85C0xJhHjPLrFzYqTHJtf918y0jJ4FhiGVfmS+faZlamCpqYmUWHBfFs+d0UNMX6+P3v27MHDwwNPT0+aNm3K2rVrsbe35/79+5QtW1ZtvaSkJFxdXWnbtm2B/syHRESSPxMUCgXu7u4cPHiQs2fPUqFCBZX9FSpUwMrKilOnTinLZDIZ58+fVzrA9erVQ1tbW8UmIiICf39/pY2trS1JSUkqKQ7Xrl0jKSlJaaMOqVRK5cqVKVOmjNJBBqhRowZZWVlcu5Y7MzsuLo6goCCqV6+uLMvKyuLGjdylbQIDA0lMTKRatZwcMQsLi3wT4Xx9fdX258GDB8TGxjJ//nyaN29OtWrV8kV2/831Kmypurft/7syefJkkpKSSEpKIjw8nFu3bhH2JIFHj54QEBBMZGQ0bdo0V9pra2vTrFkjrhWwzFNhSCQone5zf12hYf0ONGncSbndvHkHRUYKGi+jqWFdhav/3Fapf/WfW9SuVfAjS2XftLSwsrRAU1MTn9Pnadm0ERoaqsOHrq4OJSzMycrO5tS5y7RubvtOxyEQ/BfR1tamRtXKXP3HV6X86j++1K5VreBK/9bV0sLK0jznujpzgZZNGhZ+XZ2/Qutmr554ZWWRFRyEdl3VSbvaNvXJvJ9/WTLFy1QShvYncfhA5ZZ+/AhZT5+QOHwgmQ9Un+jpNGiMREuLdO/9yCPCyQ4LRR4fR41muUvMaWprUbVRDUJuqp/0/eh2kEodgBrNaxNyS7XO97MGULdjIxZ/P5PAa/eIeRJJzJNIngc/IzE6gcSoBKxeLQunqa1FtUY1yc7KJja84Kd5D28FUat5bZWyWi3qEHyz4DxxAC0dLUpV/obE6NybDE0tTTSNSqCrZ0AN68pcva46Pn8J46dC8WG2d2XJkiUMGDCAgQMHUr16dZYtW0aZMmVYvXp1ofWGDBmCi4sLtrYf/xyJSPJnwvDhw9m5cyeHDx/GyMhImR8slUrR19dHIpHg4eHBr7/+SpUqVahSpQq//vorBgYGuLi4KG0HDBjA2LFjMTMzw9TUlHHjxvHtt9/Srl3OI57q1avTsWNHBg0axNq1awEYPHgwnTt3xtpa/USKwqhSpQpOTk7KNo2MjJg0aRKlS5fGySl3lrW2tjYjRoxg+fLlaGtr4+7uTuPGjWnYMGfNzDZt2rBw4UK2bt2Kra0t27dvx9/fn7p16xaoW7ZsWXR0dFixYgVDhw7F398/39rH5cqVQyKRcOzYMRwcHNDX16dYMdV8s7ft/7uiq6uLrq6uStnrkelVKzcxbvwwQkIeE/IwlHHjh5GWlsbePblR4HXrF/P8eSQzZywEctY9vnXLj8ePnqCjo41dh9a4uHTDY9R0AFJSUrl/P0hF82VqGgqFHLIzce3VlclzFlGzWhVq16rO/sMniIiKoVdXBwCWrt5MdGwc86bnTEgMDXuGX0AQ39WwJvlFClt2HyT40RPmTsudsHj33gOiYuKoVqUi0TFxeG7ajkKhwK1P9/c6by9fphH27Lnyc/jzKB4EhSAtbkRJq8KXtvr/UlTa4pj/28fs2suZyb8soWa1ytSuWZ39R3yIiI6hl/Or62qNV851NW0sAKFh4a+uq6o519Ueb4IfP2Hu1Nzlx+7eCyQq9t/rKhbPTTtRyOW4ufxPaZN2aC9G46aSFRxIVsA99Ow7o2lhSfrxnDHEoP8gNMwsSFn8KygUZD95rNJvRWICyGT5ygH0OnRCdvUSihevrfbgvQ+H4X2JDo0k6nEEDsO7IUvL4Nrh3DkRbovdSYiK59CCnFWXzmz6g/F7Z9NxqBO+p/6hTvsGVG/6LQt6TFfWcZkzkEZOzVg1aAHpqenKyHNa8ksyM2Sc2fQHnUd2x7ZLM6JDIyn/bSUkEihjXZZtP68HYMiSkSRExrF3wQ4A/tx8jKl7f6HT0K7cOnUdm/YNqdn0O37pPlWp+/3Uftw+/Q9xz2MpbibFaUR39Ivpc/HAOSAnJWLE6vFItHTJSo7Etff/mDx7ATWrW1O7pvVnOX6+D0WxxrFMJuPmzZtMmjRJpdzOzq7QRQQ2b95MSEgI27dv55dffvnY3RRO8ufCv3dOeZc727x5s3K1hgkTJpCWlsawYcNISEigUaNG/Pnnnyrr/S5duhQtLS169uxJWloabdu2xcvLSyXyu2PHDkaOHKlcBcPR0ZGVK1f+v/q/efNmRo0aRefOnZHJZLRo0YLjx4+rpCgYGBgwceJEXFxcePbsGc2aNWPTpk3K/R06dGD69OlMmDCB9PR03NzccHV1xc/Pr0BNCwsLvLy8mDJlCsuXL8fGxoZFixbh6Ji7hFrp0qWZNWsWkyZN4scff8TV1RUvL6/36v+HZumStejr67F02RyMjaXc+McXpy6upKTkro1dpkwp5PLcGRGGhgYsXTab0qVLkpaWTlBQCAPdRnPgQMFLEOXFvl1LkpJfsGbzTmLi4qlSsTyrF82mlFXOo73YuHiVtV2z5XK27DpAaFg4WlqaNLSpzfY1S1QeBWbIZKxYv4VnzyMx0NenuW0D5k0fT3Gj/JNf3gb/B8G4jZio/LxgxToAnOzbMfeVk/GxKCptccz/7WO2b9si57ry2p1zXVUox+oFMyn1yuGOjUsgIio3rSpbLmfLnkO511Xd79i+emEB19U2nkW8uq4a12Pe9LEq15Xswl+kGkkxcHFFw9SM7NDHJP08EXl0ziNoDVMzNAuYqP0mNEp/g3at70iaonou0vbt4kqyKS5zBmIoNeSR70OW9v2FjNR0pY1paXOVNLSQW0GsG7EM53G9cRrTm5iwSNa5L+Wxb+46wK375uQVj98zS0Vv87hVXNl/Dp81h9HW06GdWye6evRCgYLIR8/ZM38bQTdyIsNmpcxRvDZWBt8MZNWIJXQf+z3dx/YmKiyKVe6LCfHNXdrT1MqMYSvGYGRiRHJ8MiG3g5jZdRJx4Tn/K9OSZtSzywniaJt8g2OvfrzI0mLtxo1ER0dTpWK5z278LEoyMjLIyMhQKSsoWAQQGxtLdnZ2oYsR5CU4OJhJkyZx8eJFtLQ+jfsqURSWVCkQfCC8vLzw8PB445v9vnSKGVR4s9FHICHs/VbhEAgEhfAWK0R8LJL6DSwS3ckBHzfKXxjpiqI535tuFt1Ls7TNK350jdA67T9IO17OTZXzcP5lxowZzJw5M5/t8+fPKV26NFeuXFFJm5g7dy7btm3jwQPVtJjs7GwaN27MgAEDGDp0KAAzZ87E29u70LTM/y8ikiwQCAQCgUDwlfKhQqWTJ09mzJgxKmUFRZEBzM1zcvHzRo1fX4zgdV68eMGNGze4ffs27u7uQM5ytAqFAi0tLf7880/atGnzYQ7kNYSTLBAIBAKBQCD4f6EutaIgdHR0qFevHqdOnaJr167K8lOnThU4F6h48eL5Ui89PT05e/Ys+/fvz7fYwYdCOMmCT0L//v2VudUCgUAgEAg+D4pi4h7AmDFj6Nu3L/Xr18fW1pZ169YRFhamTKeYPHky4eHhbN26FQ0NDeXL1f7F0tISPT29fOUfEuEkCwQCgUAgEHylKBRF4yT36tWLuLg4Zs+eTUREBLVq1eL48eOUK1cOyFnC9l1eDPYxEBP3BIJPiJi4JxB8QYiJe58UMXHv4/Cwhvq3Fr4Lle+f/CDtfE6Il4kIBAKBQCAQCAR5EOkWAoFAIBAIBF8p8iJKt/gvIJxkgUAgEAgEgq+UospJ/i8g0i0EAoFAIBAIBII8iEiyQPAJ0dQoovvSIpxgVKRoaL7ZRiB4X4rw+6VtXjQ/3wqKbq5/FvI3G30MvvDxs6iWgPsvIJxkgUAgEAgEgq8UscaZekS6hUAgEAgEAoFAkAcRSRYIBAKBQCD4ShHpFuoRTrJAIBAIBALBV4pYAk49It1CIBAIBAKBQCDIg4gkCwQCgUAgEHyliHWS1SMiyYL/FK1atcLDw+OzaUcgEAgEgv8yCsWH2b5EhJP8mXDhwgW6dOlCqVKlkEgkeHt757OJioqif//+lCpVCgMDAzp27EhwcLCKTUhICF27dsXCwoLixYvTs2dPoqKiVGwSEhLo27cvUqkUqVRK3759SUxMLLR/rVq1QiKRIJFI0NXVpWrVqvz6669kZ3/e60eeO3cOiUSS7/gOHjzInDlziqZTrzFpykgeBF8hMuYex07soFr1KoXad3G049wFb548u83zKD8uXjlKr97OKjYDBrpw+e8/ePrcl6fPfTl1Zh8SHQPl/t2H/qBDzwHYtO1KzwGjuHnHv1DNXQeP0eWHodRr243OLkM47HNGZX9mVharN++iY6+B2LTtSrf+7ly6drPAtopKe/fBY3To3h+b1o70dBvBTd836B44SheXwdRr7UTn3gM5fOJ0ft1NO+jY40dsWjvSrd8wLv19o9A2C+OGrx/DJ8ygtWMfajW158yFK+/d1n9F+2s85o+hrdPWEaMl2ym+8QTFZq9Gs+q3am01q9VGuu1Mvk2jZBmljXYrBwynLaP4Gm+Kr/HGcOICNCtaK/c7evRk0bV1eD7YwfjdsyhV5Zs39tGmYyNmn1rK6sBdzD61lLodGqrsb/WDHTNPLGaF31ZW+G1l8sG51GpVN7ffWppM3P8L2x7uZ2foIbYG72Ps+smYWJoUqtvQ3paFp1ewNWgfC0+voH6HRvlsTEqYMnyZB+t8t+L1YA/zji+lQq1Kyv27nnijbVlFue09dZ0OvYdg07bbJx8/PxZyheSDbF8iwkn+TEhNTaV27dqsXLmywP0KhQJnZ2cePXrE4cOHuX37NuXKlaNdu3akpqYq27Czs0MikXD27FkuX76MTCajS5cuyOW5i7C7uLjg6+uLj48PPj4++Pr60rdv3zf2cdCgQURERBAYGMjIkSOZNm0aixYt+jAn4BNjamqKkZFRkfbBY/Rghru7MX7sTFq37Ep0VCzeR7ZQrJih2joJCUksWuhJ+7bdadq4Ezu2H8BzzW+0bdtcaRMeHsnMnxfSqoUzrVo4c+HC32hKS4GmDifOXGD+8vUM6tuTfRuXY1O7JkPHzyQiKrpAvd2HjrNs7RaG/eiC9zZPhrm5MHfJGs5dvqa0WbF+G/uOnGCKxxAOb1tNTycHRk2ZS0BQiEpbRaV94vR55v++lkGuvdm3eSU239Vk6LjpRESq0z3GsjWbGebWB+/taxg28AfmLvbk3KW/c3XXbWHf4RNMGf0Th7evpaezA6MmzyEg6KHa/11hpKWlY125IlPGDHuv+v8fikr7azzmD62t3agVej8MI/3wTlKmDyEr0A/D8fOQmFkWWu/F+H4ku3dXbvLIcOU+req1ybx6lpRfx5IyawTyuGgMJyxAYmKOTqfetB/QmZ0/b+QXx0kkxSQyZvvP6BrqqdWqaFOVISvHcPXQBWY5jOXqoQsMWTmGCnVyAwIJEXEc+G07vzhO5BfHiTy44o/7uglKB9xheDcq1qmCz+ZjLHT7hQfX7lGnVT3Gb56mVreKjTUjV47j0sFzTLL34NLBc4xaNZ5Kr+kaFjdk1oH5ZGVm81u/OYxrN4LtczeTmpyqtBlavz+ZsY/IjH3Ekd2b+fXXXxk6dGjOWPIJx09B0SCc5M8Ee3t7fvnlF7p161bg/uDgYP7++29Wr15NgwYNsLa2xtPTk5SUFHbt2gXA5cuXCQ0NxcvLi2+//ZZvv/2WzZs3888//3D27FkAAgIC8PHxYcOGDdja2mJra8v69es5duwYgYGBhfbRwMAAKysrypcvj7u7O23btlVGvBMSEnB1dcXExAQDAwPs7e1VotxeXl4YGxvj7e1N1apV0dPTo3379jx9+lRp079/f5ydnVU0PTw8aNWqldo+bd++nfr162NkZISVlRUuLi5ER+cMWKGhobRu3RoAExMTJBIJ/fv3B/KnW7xt/0+ePEn16tUpVqwYHTt2JCIiotBzVhg/Df+RxQs9OXrkTwLuBzF08Hj09fXp0dNRbZ1LF69x7OifBAWG8PhxGGs8vbjn/4DGTeorbXxOnOXUn+cIeRhKyMNQ5sxaDAo5Em09tu7xplun9nTv0oFK5cswaeRgrCzN2X3oeIF6R/88Sw9He+zbtqBMKSsc2rWkW+f2bNxxINfm5F8M6tuTFrYNKFPKit5dHWja0Aav3YdU2ioq7a17DtGtsx3dHTtSqXxZJnkMxcrSgt2H/ihY1+csPZwcsG/XkjKlS+LQrhXdOtuxccc+FZtBrr1o0aQhZUqXpHfXzjRtVA+vXQfV/u8Ko7ltA0YO7kf7Vk3fq/7/h6LS/hqP+UNr69h3R3b+BJnnjyN/Hkb6Dk/kcdHotO1SaD15cgKKpNwNRW4QJW31PGRnjiAPC0Ee8ZS0jUtAQ4JWjbroduzGH6sOcuvkNZ4HPWXT2BXo6OvSyKm5Wq32bp24f+kuJzwPERnynBOeh3hwxY92bp2UNnfO3MTv3G2iHkcQ9TiCQ4t2kfEynYp1qwLQso8dhxbtYsdcL26fvckCt1/IlGVSoVYlzEqZF6hr79YFv0u+HPY8wPOQcA57HuDe5bs4uOWemy4/dSMuIpa141cQcieY2GfR3Lt8l+iwSKVNUkxizhv35Nls3X2Q/3V1ortzZyqVLfVJx8+PiUIh+SDbl4hwkv8jZGRkAKCnl3vHrqmpiY6ODpcuXVLa/JsO8S96enpoaGgoba5evYpUKqVRo9zHTo0bN0YqlXLlyrs99tPX1yczMxPIcXBv3LjBkSNHuHr1KgqFAgcHB+V+gJcvXzJ37ly2bNnC5cuXSU5Opnfv3u94JlSRyWTMmTOHO3fu4O3tzePHj5WOcJkyZThwIGcwCgwMJCIigt9//73Adt62/4sWLWLbtm1cuHCBsLAwxo0b9179Ll++DFZWlpw9c0nlWC5fukbDRjZv3U7LVk2oXKUiVy5dL3C/hoYG/+veGSQSZC9fcD/oIU0a1lWxadKgLnf8HxRYP1OWia6utkqZro4OfgFBZGZl5fQ7MxMdHR1VG10dbvvdz20nM7NItDMzM7kfGEyThqrntElDG+7436cgMjMz0c3Xpi5+999C9+69AtsUCD44mlpolq9Klp9qmk+W/020qtQstKrRL2sxWrEXw0kL0axep3AdXV3Q1AItLTSMzbh38U6uliyLwGv3qVzPWm31inWrcv+1OgD3Ltyhsk3BdSQaGjTo0hQdfT1CbgVhXsYSY0uTfLpPH4SiUCh4+VrU93Wq2Fhz94KvStmdC7epUq+a8nO99g15dPchozzHs+amF/OOL6FN7/YFtvfvGNasRSvkacnK8k8xfn5sRE6yeoST/B+hWrVqlCtXjsmTJ5OQkIBMJmP+/PlERkYqo5mNGzfG0NCQiRMn8vLlS1JTUxk/fjxyuVxpExkZiaVl/kdxlpaWREZG5isvCLlcjo+PDydPnqRt27YEBwdz5MgRNmzYQPPmzalduzY7duwgPDxcJbc6MzOTlStXYmtrS7169diyZQtXrlzh+vWCHby3wc3NDXt7eypWrEjjxo1Zvnw5J06cICUlBU1NTUxNTZXHZ2VlhVQqzdfGu/R/zZo11K9fHxsbG9zd3Tlz5ky+9t4GyxIWAERHx6qUx8TEUaJEwZGRfylevBjhkXeJTXjA3v0bmDBuFn/9dVnFpkbNqoRH3iUmPoAly+aQnRRBQnws2dlyzExU8/jMTEyIjU8oUKtJQxsOHP2Te4EPUSgU+D8I5tDx02RlZZGYmPND0bShDVv3ePPkaThyuZwr/9zmr0vXiImLV7aTkJRcJNoJia90TfPqGhMbp063HgeO+XDvQXCObkAQh/74U1W3UT227j6Yq3v9Fn9d/FvlmAWCj4nESIpEUxNFsur3WJGUgERqWmAdRWIcLzcuJvX3Wbz8fSbZEU9zHGVr9XnMer0GIU+IRR6Vk5KRHJOosj85JpHiFsZq60stjHOisa+RVECd0tZlWXlvG2uCdtF37mA8hywg4uEzpBYm+XS1dbWxqlCKxOgE0lLSCtQ1tjAmKTZJVTc2CWOL3LHAskwJ2v3QkcjHEcx3ncXp7T70mzWQ5t1a5WtPOYaZmaLISFGWf4rxU1B0iCXg/iNoa2tz4MABBgwYgKmpKZqamrRr1w57e3uljYWFBfv27eOnn35i+fLlaGho8P3332NjY4OmpqbSTiLJ/1hEoVAUWP46np6ebNiwAZlMBkDfvn2ZMWMGp0+fRktLSyU6bWZmhrW1NQEBAcoyLS0t6tfPTQuoVq0axsbGBAQE0LCh6kSOt+X27dvMnDkTX19f4uPjlbnXYWFh1KhR463aCAgIeKv+GxgYUKlS7oSOkiVLKlM7CiIjI0P5BEBLSwt9fX3CI+8C0LP7QCDnvL+OBMkb78hfvEileZMuGBoa0LJVE+bOm0po6FMuXczNcwsOekzzJl2QSovj6NSB0WMGQWTOBM68/2YF6v/3Q/v3JjY+gT5DxqJAgZmJMc72bdm08wAamjn32JNGDmbmghV0+eEnJBIoU6okzg7t8D5+Ol97RaWdV6NQ3R+/JzY+nj6DR7/SNcHZoR2bduzP1R01hJm/LaeLy+Bc3U7t8f7jVIFtCgQfjbzjhQS1YT155DPkkc+Un7Mf3kfDzBJdh568DPRTsdVu0hb9geNBSwtkGa/p5RmzJJK3CCMWUCdPWeSj58x2GE+DLk3pMqoHIzdPQZYu4/f+c1V0NbU0GbFiHBKJhGfBTymUfH1VHXM1NCQ88gthz8LtAITee8w3VcvSrm9HLh48V3CbsjQgN9jyKcfPj8WXOunuQyCc5P8Q9erVw9fXl6SkJGQyGRYWFjRq1EjF8bSzsyMkJITY2Fi0tLQwNjbGysqKChUqAGBlZZVvtQuAmJgYSpQoUah+nz59mDp1Krq6upQqVUrpeOd19P6lIMe7oMHk3zINDY18bb2e7pCXfycq2tnZsX37diwsLAgLC6NDhw5KR/5teNv+a2urPjaTSCRq6wLMmzePWbNmAVCsWDFKlCiBjnZxdLWN0dHNebxWooQFUVExyjrmFqb5ossF9evRoycA+PkFYG1diTFjh6o4yZmZmUqb27f98BjZD9NSZdHU1MgX9YhPSMTMxLhALT1dXX6Z7MGM8e7ExSdiYWbCviMnMTTQx0RaHABTEynL500jI0NGYnIyluZmLF3jRemSud8nE2nxItE2MX6lmycqE5+QhJlpIbpTxjBjwkji4hOwMDNl35ETeXSNWT7/Z1Xd1ZtUjlkg+JgoXiShyM5GIlV9SiIpbpIvulwY2Q/vo92kXb5yiXkJyJTxctUc5E8fw6vxr7iliUpk2MhcSnKeiO3rJMUkKqPB/1LcXEpyjGqd7Mwsop9EcnrzH/xz9DI/LnYn/nkMKfHJSt2o+ARGrRqPZRlLQu4EkxynXjcxJhFpnmh1cTMpSbG5fU+ITsjnaIc/fEZDe9t87ZmYW6KpqUl0RBhUslKWf4rx82PzpeYTfwhEusV/EKlUioWFBcHBwdy4cQMnJ6d8Nubm5hgbG3P27Fmio6NxdMyZDGZra0tSUpJKisO1a9dISkqiSZMmb9StXLkyZcqUUYlM16hRg6ysLK5dy3XS4uLiCAoKonr16sqyrKwsbtzIzZ8LDAwkMTGRatVycsQsLCzyTYTz9fVV258HDx4QGxvL/Pnzad68OdWqVcsX2f0316uwperetv/vyuTJk0lKSiIpKYnw8HBu3brFs7BEHj16woOAYCIjo2ndppnSXltbm6bNGnH92q130pFIJEqnuzB0tXWoUbUyV//xVSm/+o8vtWtVK7jSv33T0sLK0hxNTU18zlygZZOGaGioDh+6ujqUsDAnKzubU+ev0LpZbmReW1u7SLS1tbWpYV2Fq//czqN7i9q1Cn/SkKNrkaN7+jwtmzYqXPfcZVo3z//jKhB8FLKzyA4NQqtWPZVirVr1yAp++9x4zXJVUCSp3kTqOPREr1MvUhdMJOvmZeTRz5GHP0GeGEfNZt/l1tXWwrpRDR7eVD/p+9HtIGq8VgegRvPaPLxVcJ2M1HSin0SSlZFJliyL58HPSIxOoFaLOoxaNR6rCiWZ3282VWyqEXSz4FxggOBbgXzbvI5K2Xct6hD8Wp2gmw8oVbG0ik3JCqWIDY8hL3pG5tSsUZ2r11RzwD/F+CkoOkQk+TMhJSWFhw9zl496/Pgxvr6+mJqaUrZsWQD27duHhYUFZcuWxc/Pj1GjRuHs7IydnZ2y3ubNm6levToWFhZcvXqVUaNGMXr0aKytcyZJVK9enY4dOzJo0CDWrl0LwODBg+ncubPS5l2pUqUKTk5OyjaNjIyYNGkSpUuXVnHgtbW1GTFiBMuXL0dbWxt3d3caN26sTLVo06YNCxcuZOvWrdja2rJ9+3b8/f2pW7dugbply5ZFR0eHFStWMHToUPz9/fOtfVyuXDkkEgnHjh3DwcEBfX19ihUr9l79f1d0dXVVJlGCaiR99arNjBn3EyEhoYSEhDJ23E+kpaWxb+8Rpc2adYuIeB7JrJk5S+2NGTuU27f8ePw4DG0dbezsWtHbpStjPH5W1vl5xlhOnTpP+LMIihkZ8r/uXZBo65Od+hzXXs5M/mUJNatVpnbN6uw/4kNEdAy9nB0AWLrGi+jYOOZNGwtAaFg4fgFBfFejKskvUtiyx5vgx0+YO3W0Uu/uvUCiYuOoVqUi0TGxeG7aiUIux83lfyrHXlTarr26MnnOImpWq0LtWtXZf/gEEVEx9Or6Snf15hzd6eNe6T57pWudo7v7IMGPnjB32rjXdB8QFfOvbhyem7ajUChw69P97b4ceXj5Mo2wZ8+Vn8OfR/EgKARpcSNKWhW+nNf/l6LS/hqP+UNry07sR3/oJLIfB5H98D46rTuhYWaJ7MxRAHR7DkDDxJy0tb8BoNOhG/LYKOTPQkFLC+2m7dBu2ILU32co29Tp1Au9//XnpeevyGMjlZFqRXoaGT4HcRjuQlRozioUnYZ3Q5aWwbXDF5X13RaPIDEqjoMLdgJwetNxJuydTcehzvieuk6d9g2p3vRbfusxXVmn63gX/M/dJj4iFj1DfRp2aYp14xos65eTanFm83GcxvQi7cVL1k/25Mc5g8mUyfC7fBdNbS2yM7P4ackoEiLj2L0gJ3XixOajzNj7K12GduXmqevUa9+QWk1rM7P7ZKXu8Q1HmHVwPk7Du/P3sUtUqlOVNi52bJjsqXqiJRpI9IrRr3d3Js74pUjGz4+JSLdQj3CSPxNu3LihXK4MYMyYMQD069cPLy8vACIiIhgzZgxRUVGULFkSV1dXpk+frtJOYGAgkydPJj4+nvLlyzN16lRGjx6tYrNjxw5GjhypdK4dHR3Vrs/8tmzevJlRo0bRuXNnZDIZLVq04Pjx4yopCgYGBkycOBEXFxeePXtGs2bN2LRpk3J/hw4dmD59OhMmTCA9PR03NzdcXV3x8/MrSBILCwu8vLyYMmUKy5cvx8bGhkWLFimj5gClS5dm1qxZTJo0iR9//BFXV1fl+XzX/n9oli1dh56+HouXzsLYWMqNG750depPSkrubO1vypRUWePawNCAxUtnU6q0Felp6QQFPWLwwLEcPJC7nJmlpTlr1y/GysqC5OQU7vk/IDvxOYrMl9i3bUFS8gvWeO0mJi6eKhXKsXrBTEq9+nGOjUsg4rX0j2y5nC17DhEaFo6WliYN637H9tULVR4FZshkrFi/jWcRkRjo69O8cT3mTR9LcSPVm5Gi0rZv1zJHd/POHN2K5Vm9aDalrEq80o1XWec0Wy5ny64Dubo2tdm+ZkkBult49vyVrm0D5k0fn++Y3xb/B8G4jZio/LxgxToAnOzbMffVD+7Hoqi0v8Zj/tDamdfOISlWHD3nvkiMTZE/CyV10WQUcTnfZw1jMzReXzNZSxu974egYWKOQpaBPPwJqYsmk3Un98mibltHJNo6GI6aqaKVfnALGYe2cj5SSp85gzCUGvLIN5glfeeQkZqutDMrbY7itSXlQm4Fsm7EUpzHfY/zmF7EhEWxzn0pj31zl9gsbi5lwNIRSC1MSHvxkmcPnrCs31zuX8qZw3H96CX+N7EPRqbFGbN2krLe7xfWMLvXNAL+9se8lAUKeW76W/DNQJaPWETPsX3oOdaFqLBIlrsvIuQ13Ud3H7Jk8Hx6T+xLt5E9iXkWxbZZG7nsfUHl2CW6Odd1h5YNSRg5qEjGz4/JF7owxQdBoigsqVIg+EB4eXnh4eHxxjf7felIi1V6s9FHIPaRT5HoFjkamm+2EQj+g7wcPahIdMdeLPwtdx+TVEVWkehu/WdhkegCaFsW/hbWD8HfpQp+P8O70vj5+60T/zkjIskCgUAgEAgEXyki3UI9wkkWCAQCgUAg+EoRq1uoR6xuIfgk9O/f/6tPtRAIBAKB4HND/oG2LxHhJAsEAoFAIBAIBHkQ6RYCgUAgEAgEXykKRLqFOoSTLBAIBAKBQPCVIhdrnKlFpFsIBAKBQCAQCAR5EJFkgUAgEAgEgq8UuUi3UItwkgUCgUAgEAi+UkROsnqEkywQfEI0imowUnypC/S8ga/xsMVbBr8OvsJkyayieoHy1zp+CoSTLBAIBAKBQPC1Im4B1COcZIFAIBAIBIKvFJFuoZ6v8IGNQCAQCAQCgUBQOCKSLBAIBAKBQPCVItIt1COcZIFAIBAIBIKvFOEkq0c4yQKBQCAQCARfKSInWT0iJ1kgEAgEAoFAIMiDcJIF/ylatWqFh4fHZ9OOQCAQCAT/ZeSSD7N9iYh0i8+ECxcusHDhQm7evElERASHDh3C2dlZxSYqKoqJEyfy559/kpiYSIsWLVixYgVVqlRR2kRGRjJ+/HhOnTrFixcvsLa2ZsqUKXTv3l1pk5CQwMiRIzly5AgAjo6OrFixAmNjY7X9a9WqFefPnwdAR0eHcuXK0b9/fyZOnIim5uf78oJz587RunVrEhISVI7v4MGDaGtrF13HXjFxykj6/dgLY2MpN2/cYfyYmTwICFZr39nRjjHjfqJixXJoaWvxKCSUVcs3sWe3t9LGbaALbgNdKFP2GwAeBAQj0TFEIUsFYPeh42zedZCY+AQqly/LxBEDqVe7plrNXQf/YOfBP3geGU3JEhYM6tsDp45tlPszs7LYsH0/h33OEh0bR/kypRkztB/NGtXL11ZRae8+9EeOblx8ju7IQdSrXasQ3WPsPHiM5xGvdF174tSxrarutn0c9jmTq/vTj2qOuei034Ybvn5s3rmf+w8eEhMXz+/zptO2RZP3auu/oPulaeu0cUTXoScSqRny56Gk7fAkO8ivQFvNarUpNnlJvvIXk/ojj3gKgFa9Zuh2cUHTsjRoaSKPDCfDZx+ZV04D4OjRkxbft8NAashj34fsmL6e58HPCu2jTcdGOI/tjUVZK2LCIjm0aBe3T15X7m/1gx2t+nTA7BsLAJ4HP+Xo8v34n7ud028tTcbtnkWF2pXR1NIkKzML33O3WD91DQnR8Wp1G9nb0ntsH0qUtSIqLJJdC7dz/eTfyv2rLq3DskyJfPV8th5n4/S1AOgZ6KFhZImGbjHQ0GTn9m1s3LSJmNi4Tz5+fizEa6nVIyLJnwmpqanUrl2blStXFrhfoVDg7OzMo0ePOHz4MLdv36ZcuXK0a9eO1NRUpV3fvn0JDAzkyJEj+Pn50a1bN3r16sXt27eVNi4uLvj6+uLj44OPjw++vr707dv3jX0cNGgQERERBAYGMnLkSKZNm8aiRYv+/wdfBJiammJkZFSkfRg1ejDD3N2YMHYWbVt2JToqhoNHvChWzFBtnYSEJBYv9MSubQ+aNe7Mju0HWLlmPm3aNlfaPA+PZNbPC2nTwpk2LZy5eOEqmsalQVOHE2cuMn/FBga59mTfhmXYfFeDoRNmEREVU6Debu/jLFu3lWE/fo/31pUMc/ueuUvXcu5y7g/civXb2XfEhymjBnN46yp6OnVk1NR5BASFqLRVVNonzlxg/vL1DOrbk30bl2NTuyZDx88kIiq6YN1Dx1m2dgvDfnTBe5snw9xcmLtkDecuX3tNdxv7jpxgiscQDm9bTU8nB0ZNmVvAMRed9tuSlpaOdeWKTBkz7L3qvy9FpfslaWs3bIVen2GkH91Jys9DyAr0w3DsPCSmloXWezGhH8kjuys3eWS4cp8i9QUZR3eQMmcEKdMGIbt4Ev2BE9CqVR8dh960H9CZnT9v5BfHSSTFJDJm+8/oGuqp1apoU5UhK8dw9dAFZjmM5eqhCwxZOYYKdXKDOwkRcRz4bTu/OE7kF8eJPLjij/u6CZSqknOj7zC8GxXrVOH45qP85vYLAdfuUbdVPSZtnqZWt6qNNaNXjuf8wb8YZz+K8wf/YvSq8VSuU1VpM9lxHIPq91Nus11+BuDqH5eVNv1+HoCGjiHZSREc3ePFr/MXMPSn4ezfuu6Tjp+CokE4yZ8J9vb2/PLLL3Tr1q3A/cHBwfz999+sXr2aBg0aYG1tjaenJykpKezatUtpd/XqVUaMGEHDhg2pWLEi06ZNw9jYmFu3bgEQEBCAj48PGzZswNbWFltbW9avX8+xY8cIDAwstI8GBgZYWVlRvnx53N3dadu2Ld7e3kBOdNrV1RUTExMMDAywt7cnODg3Iurl5YWxsTHe3t5UrVoVPT092rdvz9OnT5U2/fv3zxc99/DwoFWrVmr7tH37durXr4+RkRFWVla4uLgQHZ3jgISGhtK6dWsATExMkEgk9O/fH8ifbvG2/T958iTVq1enWLFidOzYkYiIiELPWWEMHd6fJQs9OXbkTwLuB/PT4AkY6OvTvWcXtXUuX7zGH0dPERQYQujjMNZ6buGefyCNm+RGHXxOnOXUn+cJeRhKyMNQfpm1BBRyJNr6bN17mG6d2tG9sx2Vypdh0shBWFmYs9v7eIF6R0+eo4djR+zbNqdMKSsc2ragW6d2bNx5INfmz3MM+qEHLWzrU6aUFb2dHWjasC5ee7xV2ioq7a17vOnWqT3du3R4pTsYK0tzdh9So/vnWXo42mPftkWObruWdOvcno07XtM9+ReD+vakhW2DHN2uDjRtaIPX7kOqx1yE2m9Lc9sGjBzcj/atmr5X/felqHS/JG2djt2RXThB5vnjyCPCSN/piTw+Gp226scQAPmLBBRJudvrr13OfnCHrJuXkUeEIY+OQHbqIPKnj9CsWgvdDt34Y9VBbp28xvOgp2wauwIdfV0aOTVXq9XerRP3L93lhOchIkOec8LzEA+u+NHOrZPS5s6Zm/idu03U4wiiHkdwaNEuMl6mU7FujkPbso8dhxbtYttcL26evcE8tzlkyjKpWKsS5qXMC9Tt5ObI3Uu+eHse4HlION6eB/C/fJdObrnnJjk+mcSYROVWr219IkMjuP+3v9Kmqo018vRkFJlpbN19iG6d2tGjqyOVq1T9pOPnx0Txgbb3wdPTkwoVKqCnp0e9evW4ePGiWtuDBw/Svn17LCwsKF68OLa2tpw8efI9ld8O4ST/R8jIyABATy/3jl1TUxMdHR0uXbqkLGvWrBl79uwhPj4euVzO7t27ycjIUDqaV69eRSqV0qhRI2Wdxo0bI5VKuXLlyjv1SV9fn8zMTCDHwb1x4wZHjhzh6tWrKBQKHBwclPsBXr58ydy5c9myZQuXL18mOTmZ3r17v/O5eB2ZTMacOXO4c+cO3t7ePH78WOkIlylThgMHcgajwMBAIiIi+P333wts5237v2jRIrZt28aFCxcICwtj3Lhx79XvcuXLYGVlydkzuf87mUzG5UvXadjI5q3badHKlspVKnDl0j8F7tfQ0KBb904gkSB7mcz9oIc0aVBXxaZJg7rc8X9QYP3MzEx0dVTTUnR1dfALCCYzKyun35mZ6BRgc9svQKWdotBW6jZ8B11ZJrq6edrU0cEvICiPrk4BuvfzH3MRaAu+AjS10CxflSz/GyrFWf430aqs/vE/gNHstRj9vhfDCQvRrFancJkaddEo+Q3yyHA0jM24d/FOrpYsi8Br96lcz1pt/Yp1q3L/tToA9y7cobJNwXUkGho06NIUHX09Qm4FYV7GEmNLk3y6YQ9CUSgUpCanFthOVRtr7lzwVSnzvXAb63rVCrTX0taieddWnN17WqX8wT8BSHQNycxWcD/oIU0bNwJNHRSyl8CnGT8/NvIPtL0re/bswcPDg6lTp3L79m2aN2+Ovb09YWFhBdpfuHCB9u3bc/z4cW7evEnr1q3p0qWLypPyD41wkv8jVKtWjXLlyjF58mQSEhKQyWTMnz+fyMhIlWjmnj17yMrKwszMDF1dXYYMGcKhQ4eoVKkSkJOzbGmZ/1GcpaUlkZGRb9UXuVyOj48PJ0+epG3btgQHB3PkyBE2bNhA8+bNqV27Njt27CA8PFwZaYacAWPlypXY2tpSr149tmzZwpUrV7h+/bp6sTfg5uaGvb09FStWpHHjxixfvpwTJ06QkpKCpqYmpqamyuOzsrJCKpXma+Nd+r9mzRrq16+PjY0N7u7unDlz5r36XaJETvQjJjpWpTw6JhbLEhaF1i1evBhPI+8QnRDAnv0bmDhuNuf+uqxiU6NmVZ5G3iEq/j5Lls0hO/E5CfGxZGfLMTMxVrE1M5USG59YoFaThnU5cOwU9wIfolAo8H8QzKHjp8nKyiIxMRmApg3rsnXvYZ48fY5cLufKP7f569I1YuJycwUTkpKLRDtX10RV18SE2PgENbo2HDj65xt0bdi6x5snT8Pf4pg/vbbgy0diJEWiqZkTCX4NRVICEqlpgXUUiXG83LSY1BWzeLl8JtmRTzGcuBBN629VDfUNKb72GMU3nsRw9K+kbVuJPDonJSM5JlHFNDkmkeIWxmr7KbUwJilPnaQC6pS2LsvKe9tYE7SLvnMH4zlkAREPnyG1MMmnq62rTckKpUiITiAtJa1AXWMLY5Ji8+jGJmJsYVKgfQO7RhgWN+TcvrMq5ZtnrocsGS80TcjOlmNRzprsF1EoMnN0P8X4+aWyZMkSBgwYwMCBA6levTrLli2jTJkyrF69ukD7ZcuWMWHCBBo0aECVKlX49ddfqVKlCkePHv1ofRQT9/4jaGtrc+DAAQYMGICpqSmampq0a9cOe3t7Fbtp06aRkJDA6dOnMTc3x9vbmx49enDx4kW+/TZnIJRI8ifpKxSKAstfx9PTkw0bNiCTyYCc/OcZM2Zw+vRptLS0VKLTZmZmWFtbExCQezespaVF/fr1lZ+rVauGsbExAQEBNGzY8N1PCnD79m1mzpyJr6+vMnoOEBYWRo0aNd6qjYCAgLfqv4GBgfJmA6BkyZLK1I6CyMjIUD4B0NLSQl9fn6eROdGQXt0HATnn/XUkSPKV5eXFi1RaNHHE0NCAlq2aMHfeFEJDn3L5Ym7eanDQY1o0cUQqNcLRqSMeYwbCq5ugvP9nhQLU/euH9utFbHwCfYaOR4ECMxNjnDu2ZdOug2ho5txjTxo5iJkLVtKl7zAkEihTqiTO9u3wPnE6X3tFpZ1XQ4H67/vQ/r1zdIeMzdW1b8umnQde0x3MzAUr6PLDT7m6Du3wPl7QMRedtuArIO9wISHnwioAeeQz5JG5k+yyQ+6jYWqJrn1PXga+Ntkv/SXpB73Q+9+PoKGJ/oBxpO3wfKWXZ8ySSNTqqetkzvdftSzy0XNmO4ynQZemdBnVg5GbpyBLl/F7/7kquppamnisGAcSCc+CC444KlXz9kuifnxt06s9t8/dzDcR0P7Hzki09clOepxTkJaIplFdsuVZKGQvP+n4+bGQv+G3/215/TfvX3R1ddHV1c1nK5PJuHnzJpMmTVIpt7Oze+un2nK5nBcvXiiDYR8D4ST/h6hXrx6+vr4kJSUhk8mwsLCgUaNGSsczJCSElStX4u/vT82aOY/bateuzcWLF1m1ahVr1qzBysqKqKiofG3HxMRQokT+Wb6v06dPH6ZOnYquri6lSpVSrmqhbtApyPEuyDn4t0xDQyNfW6+nO+QlNTUVOzs77Ozs2L59OxYWFoSFhdGhQwelI/82vG3/866GISlkwAWYN28es2bNAqBYsWKUKFECHW0petrG6OrmPC63LGFB1GuTPiwszPJFlwvq1+NHTwDw9wugqnUlRo8dquIkZ2ZmKm18b/szakRfTEuVQ1NTI18UMz4hKV+E91/0dHX5ZdIoZowbTlx8IhZmJuw7ehJDA31MpMUBMDWWsvzXqWRkyEhMfoGluSlL12yhdMnc75OJtHiRaKvXTSxcd7IHM8a75+oeyaNrImX5vGmvdJOxNDdj6Rqvtzzmj68t+PJRvEhCkZ2NxFg1MiopboIiueAnFQWRHXIf7Sbt8jSuQHb+D7Ju5zgrut0HoN2wBQDFLU1UIsNG5lKSY5PUtp8Uk6iMBv9LcXMpyTGqdbIzs4h+EsnpzX/wz9HL/LjYnfjnMaTEJyt1NePjGbNqApZlShByJ5ikOPW6iTH5o8ZSM2m+6DKAeWkLvmv2HQuHzFcp19HVwWX8D2S/iMLYQAtNTQ2iI56iyEhGw8CUbNnLTzJ+fmzeN584L6//5v3LjBkzmDlzZj7b2NhYsrOz8/kdJUqUeOun2osXLyY1NZWePXu+d5/fhEi3+A8ilUqxsLAgODiYGzdu4OTkBOTkzEKOs/k6mpqaygirra0tSUlJKikO165dIykpiSZNCl+GSCqVUrlyZcqUKaOy7FuNGjXIysri2rVcJy0uLo6goCCqV6+uLMvKyuLGjdz8ucDAQBITE6lWLSdHzMLCIt9EOF9fX7X9efDgAbGxscyfP5/mzZtTrVq1fJHdf3M3s7Oz1bbztv1/VyZPnkxSUhJJSUmEh4dz69Ytnocl8vjREx4EBBMZGU3rNrmTd7S1tWnarCHXr916Jx2JRKJ0ugtDV0eHGlUrc/WGr0r51Ru+1K5VcJ6esm9aWlhZmqOpqYnPmYu0bNIg3/dMV1eHEhZmZGVnc+rCFVo3y43Ma2trF4m2UvefPLr/vKvuBVo2aahG1zxH97yaYy4CbcFXQHYW2aFBaNVUXSpMq2Y9sh7ee+tmNMtVQZFYwKP99DTk0c+RRz+H9DQk2dnIE+Oo2ey73LraWlg3qsHDm+onfT+6HUSN1+oA1Ghem4e3Cq6TkZpO9JNIsjIyyZJl8Tz4GYnRCdRqUYcxqyZgVaEkv/abRVUbawJvFpwLDBB0K5DvmtdWKavdok6BdVr3aEtSXBK3zqrmd2tqa6L1Kl/49THs9djIpxg//yu8/pv37zZ58uRC6+R/uvjmp9oAu3btYubMmezZs6fAFNIPhYgkfyakpKTw8OFD5efHjx/j6+uLqakpZcuWBWDfvn1YWFhQtmxZ/Pz8GDVqFM7OztjZ2QE56QuVK1dmyJAhLFq0CDMzM7y9vTl16hTHjh0DoHr16nTs2JFBgwaxdm3OOpCDBw+mc+fOWFurn3xRGFWqVMHJyUnZppGREZMmTaJ06dJKBx5yBpkRI0awfPlytLW1cXd3p3HjxspUizZt2rBw4UK2bt2Kra0t27dvx9/fn7p16xaoW7ZsWXR0dFixYgVDhw7F39+fOXPmqNiUK1cOiUTCsWPHcHBwQF9fn2LFir1X/9+Vgh4zvX7xr1nlxZhxPxESEsqjkFDGjPuJl2lp7N+bm1+1et1CIp5HMXtmzlJ7o8cO5fYtPx4/DkNHR5v2dq3o7eLMWI8ZyjrTZ4zl9KnzPHsWgZGRId26d0aiY0B24jNcezoxee5SalpXpnbNauw/epKI6Bh6OeWk7Sxdu4Xo2HjmTR0NQOjTcPwCgviuujXJL1LYsvcwwY/DmDvFQ6l3934gUTFxVKtSkeiYODw370IhV+D2vepKLUWl7drLmcm/LKFmtcrUrlmd/Ud8cnSdHXJ013gRHRvHvGljc3TDXunWqJqju8eb4MdPmPuqXwB37wUSFfuvbiyem3aikMtxc/mf6jEXofbb8vJlGmHPnis/hz+P4kFQCNLiRpS0+ng/PkWl+yVpy3z2oz9kEtmPg8h+eB+d1p3QMLNEdjZnDNHtMQANE3PS1v0GgI5dN+SxUcjDQ0FLC+0m7dBu0ILU5bnjh27n73Pai36OREsLre8aod20PWlbf0diWByH4S5EheasQtFpeDdkaRlcO5y7IoHb4hEkRsVxcMFOAE5vOs6EvbPpONQZ31PXqdO+IdWbfstvPaYr63Qd74L/udvER8SiZ6hPwy5NsW5cg2X9clItzmw+jtOYXrx88ZJ1kz0ZMGcImbJM/C7fQUtbi6zMLNyXeBAfGcfOBdsA+GPzUWbv/RWnod3459Q1GrRvxLdNazO9u6rTJpFIaN2jLef3/4U8W3X6WVpKGveu+lGjQVWyk+W49u7G5DmL+K5BU76rUpa9+/Z/svHzY/I+k+4KQl1qRUGYm+fcNOSNGkdHR7/xqfaePXsYMGAA+/bto127doXa/n8RTvJnwo0bN5TLlQGMGTMGgH79+uHl5QVAREQEY8aMISoqipIlS+Lq6sr06bkDjba2NsePH2fSpEl06dKFlJQUKleuzJYtW3BwcFDa7dixg5EjRyqda0dHR7XrM78tmzdvZtSoUXTu3BmZTEaLFi04fvy4SoqCgYEBEydOxMXFhWfPntGsWTM2bdqk3N+hQwemT5/OhAkTSE9Px83NDVdXV/z8Cl4Y38LCAi8vL6ZMmcLy5cuxsbFh0aJFODo6Km1Kly7NrFmzmDRpEj/++COurq7K8/mu/f/Q/L50HXr6eixaOkv5MpH/OfUnJSV3tvY3ZUopnwIAGBjqs2jpLEqVtiI9LZ3goEcMGTiWQwdylyCysDRnzfpFlLCyJDn5Bff8H5Cd+AyF7CX2bZuTlPyCNVv2EBMXT5UK5Vj928+UevXjHBuXoLLmZ3a2nC17vAkNC0dLS4uGdb9lu+dvKo8CM2SZrNiwg2cRkRjo69G8cX3mTRtNcSPVm5Gi0rZv2yJH12t3ru6Cmep15XK27Dn0SleThnW/Y/vqhXl0ZaxYv+2Vrj7NG9dj3vSxBRxz0Wm/Lf4PgnEbMVH5ecGKdQA42bdj7ivn/WNQVLpfknbm9XNIihVHz6kvEmNT5OGhpC6ZjCIu54mahtQMjdfXTNbSRq/3EDRMzFHIMpCHPyF18WSy7r42eVpXDz3XkWiYWuTYRDwlbe08Mq+fA+B8hJQ+cwZhKDXkkW8wS/rOISM1XVndrLQ5iteWlAu5Fci6EUtxHvc9zmN6ERMWxTr3pTz2zV1is7i5lAFLRyC1MCHtxUuePXjCsn5zuX/pLgDXj17ifxP7UNy0OOPW5uawrrywlhm9pnL/b3/MS5mjeG2sDLr5gGUjFtF7bB96j3UhMiySpe4LeegbpHIOv21WG4tvLPOtavEvy0YsYu3F5WhKS9KlVz9eZGqwauVKYmJjP+n4+TEpirfl6ejoUK9ePU6dOkXXrl2V5adOnSo0OLVr1y7c3NzYtWsXnTp1Umv3oZAo3jRLSCD4AHh5eeHh4UFiYmJRd6VIMSlWuUh0o0P+KBLdIkfyFWaUaXy+b8AUfDhejh1UJLpjzxe8OsSnIEmhfo7Kx2Tn9QVFogugXeL9nvC+CztK/fBB2unzfPs72e/Zs4e+ffuyZs0abG1tWbduHevXr+fevXvK1bzCw8PZunUrkOMgu7q68vvvv6u8U0JfX7/Alas+BCKSLBAIBAKBQCD4pPTq1Yu4uDhmz55NREQEtWrV4vjx45QrVw7IeXr++prJa9euJSsri+HDhzN8+HBl+etP3D80wkkWCAQCgUAg+EopynSCYcOGMWxYwa9oz+v4njt37uN3KA9f4bNIQVHQv3//rz7VQiAQCASCzw255MNsXyLCSRYIBAKBQCAQCPIg0i0EAoFAIBAIvlI+1BJwXyLCSRYIBAKBQCD4ShFLnKlHpFsIBAKBQCAQCAR5EJFkgUAgEAgEgq+UL3XS3YdAOMkCgUAgEAgEXykiJ1k9wkkWCD4h8iLK/lJkZxWJblEj+RrfuFdUiDf9fVIU6UXj2kj4+sKOX+v4KRBOskAgEAgEAsFXi4gkq0c4yQKBQCAQCARfKYqv7+HAWyOcZIFAIBAIBIKvFBFJVo9I2BMIBAKBQCAQCPIgIskCgUAgEAgEXykikqwe4SQLBAKBQCAQfKWIN+6pR6RbCP5TtGrVCg8Pj8+mHYFAIBAIBF8mIpL8mXDhwgUWLlzIzZs3iYiI4NChQzg7O6vYREVFMXHiRP78808SExNp0aIFK1asoEqVKgCEhoZSoUKFAtvfu3cvPXr0ACAhIYGRI0dy5MgRABwdHVmxYgXGxsZq+9eqVSvOnz8PgI6ODuXKlaN///5MnDgRTc3Pd33Uc+fO0bp1axISElSO7+DBg2hraxddx14xacpI+v/YG2NjKTdu+DJuzEweBASrte/iaMfYccOoULEc2tpahISEsnL5Rvbs9i7QfszYocyYNZ7slDiykyMB2O19Aq89h4mJS6BS+TJMdHej3nc11GruOnSCXd7HeR4ZQ8kS5gzq8z8cO7RW7v/RYzo37tzLV695Ixs8509TKfvQ2gDb9h9l75GTRETFYiw1on1LWzwG/YCujs5rusfZvNubmLgEKlcow0T3AdT7rmYhusfZeeg4zyOjc3R/6IFTXt19R9hzxEepa9eyCR6D+qKrq6NiV1Tauw/9weZdB4mJi6dy+bJMHDmIerVrqdc9eIydB4/xPCKakiUsGOTaE6eObZX7M7Oy2LBtH4d9zhAdG0f5MqUZ89OPNGtUT22bhXHD14/NO/dz/8FDYuLi+X3edNq2aPJebX3N2jp2Tuh26YWGsRnZz0JJ27KS7Ad+Bdpq1ahNsRnL8pUnj3ZF/vwpABrflEev549oVaiKhqUVaVtWknH8gNK2i0cPWnzfDgNpMR77BrNz+gaeBz8rtI82HRvhNLY3FmVLEBMWhfeiXdw+eV25336YMzYdGmFVqTSydBkhtwI5MH8HUY+eK210DfQYMLE/DewaYWRiRPSzaKKeRFKhViWKSQ0Jvh3EhulreRb8tNC+NLK3pffYPpQoa0VUWCS7Fm7n+sm/lfs1NDXoOfp7mju3xNjCmIToBDSKaSBPiQGKdvz8WIg37qlHRJI/E1JTU6lduzYrV64scL9CocDZ2ZlHjx5x+PBhbt++Tbly5WjXrh2pqakAlClThoiICJVt1qxZGBoaYm9vr2zLxcUFX19ffHx88PHxwdfXl759+76xj4MGDSIiIoLAwEBGjhzJtGnTWLRo0Yc5AZ8YU1NTjIyMirQPHqMHM9zdjfFjZ9K6ZVeio2LxPrKFYsUM1dZJSEhi0UJP2rftTtPGndix/QCea36jbdvm+WxtbL6l/4+98fMLUJb5nL3Eb6s2M+iH/7Fv/WLqfVednyb+QkRUTIF6ew778PuG7Qzr14tDm5cxrH9v5v6+nnNX/lHaLJs9gb8ObFRuhzYtQ1NDA7tWqj/8H0P72KnzLFu3naGuPTm8ZTmzxw/n5F+XWbZ+u9LmxNlLzF+5iUE/9GDfhiXYfFuDoRPmqNXdffgEy9ZvY1j/3nh7LWdY/++Zu2wt567k/qgfO3Wepeu28VO/XhzZsoLZE9zx+esSy9ZvU2mrqLRPnLnA/OXrGdS3J/s2Lsemdk2Gjp9JRFR0wbqHjrNs7RaG/eiC9zZPhrm5MHfJGs5dvqa0WbF+G/uOnGCKxxAOb1tNTycHRk2ZS0BQSIFtvom0tHSsK1dkyphh71X//8OXoq1t2xr9fsPJOLSdF5MGkf3gLsUm/4bEzLLQeskefUka3E25ySPClfskurrIo56Ttmsd8oQ4lXq6jr1pP6AzO3/eyFzHSSTFJDJ6+3R0DfXUalW0qcrglaP5+9B5ZjuM4+9D5xm8cjQV6lRW2lRtVJO/tp1kXtcpLO07B01NTUZvnYaOvq7Spuf0ftRpacNyj6V4tHXnWfBTbNrU5/yBs0zqMo7EmESm75iNnqG+2r5UtbFm9MrxnD/4F+PsR3H+4F+MXjWeynWqKm2cf/of7ft0ZOPPa/Fo6872eVvQLGaGhqFpkY6fHxP5B9q+RIST/Jlgb2/PL7/8Qrdu3QrcHxwczN9//83q1atp0KAB1tbWeHp6kpKSwq5duwDQ1NTEyspKZTt06BC9evWiWLFiAAQEBODj48OGDRuwtbXF1taW9evXc+zYMQIDAwvto4GBAVZWVpQvXx53d3fatm2Lt7c3kBOddnV1xcTEBAMDA+zt7QkOzo2Ienl5YWxsjLe3N1WrVkVPT4/27dvz9GnuXX///v3zRc89PDxo1aqV2j5t376d+vXrY2RkhJWVFS4uLkRH5zgCoaGhtG6dc8duYmKCRCKhf//+QP50i7ft/8mTJ6levTrFihWjY8eOREREFHrOCuOn4T+yeKEnR4/8ScD9IIYOHo++vj49ejqqrXPp4jWOHf2ToMAQHj8OY42nF/f8H9C4SX0VO0NDA9ZvXMpI9ykkJiYpy7fuO0o3h7b8r1N7Kpb7honuA7CyNGPPkZMF6h09dZ4eXezo2KYZZUpZYd+mGd0c2rJp1yGljbS4EeamJsrt6s076OnpYtdSdZD/GNp37gdRt1Y1OrVrQWkrS5o0qIN9m2bcD8x13LbuO0w3h3Z079yeSuXKMGnEQKwszdl92Kdg3T/P0aNLB+xf6Tq0bU43h3Zs3Pma7r1A6n5bjU7tWlK6ZAmaNqiLQ9vm3At8mOeYi0Z76x5vunVqT/cuHahUvgyTRg7O0T10XI3uWXo42mPftkWObruWdOvcno07ciOIR0/+xaC+PWlh24Aypazo3dWBpg1t8Np9qMA230Rz2waMHNyP9q2avlf9/w9firZupx7Izh5HdvY48vAw0rasQh4Xja6d+jEEQJGUoLKhyHVxskMCSd+xlswrf0FmpqqeQ3eOrzrI7ZPXeR70lM1jV6Kjr0sjp2Zqtdq5deL+pbuc8PQmMuQ5Jzy9eXDFn3ZunZQ2v/eby5X953ge/IxnAU/YPN4Ts28sKPdtRaVNJZuqnDtwlvt/+xPzLBrretWIj4wjOyubp0FhrBy7DF09HZo5tVDbl05ujty95Iu35wGeh4Tj7XkA/8t36eTWRWlT1caaG6eucevsTWKeRfP38SsoMlKRaOsX6fgpKBqEk/wfISMjAwA9vdw7dk1NTXR0dLh06VKBdW7evImvry8DBgxQll29ehWpVEqjRo2UZY0bN0YqlXLlypV36pO+vj6ZrwbR/v37c+PGDY4cOcLVq1dRKBQ4ODgo9wO8fPmSuXPnsmXLFi5fvkxycjK9e/d+J828yGQy5syZw507d/D29ubx48dKR7hMmTIcOJDzIx8YGEhERAS///57ge28bf8XLVrEtm3buHDhAmFhYYwbN+69+l2+fBmsrCw5eyb3fyeTybh86RoNG9m8dTstWzWhcpWKXLl0XaV80ZJZnDz5F+fO5f5PMzMzuR8UQpP6tVVsm9Svg6//gwLbl8ky0dFRTUvR1dXF78FDMrMKflXrweNn6Ni6GQb6ud/Vj6Vt82117geF4PcqReXp80guXrtF88b1cnUDQ2jSoI6qboM63LlXsG5mZia6BeoGK3Xrflud+4Eh+AUEKXUv/H2LFo3rq7RTFNo55/ohTRrWzaNblztqznWmLBNd3Ty6Ojr4BQQpdWWZmejoqKaS6OrqcNvvfoFtCj4ymlpoVqxK1t0bKsVZd26gVVV9Wg1Asd/WU3zNfgynLUarZp23ktOwLImGiRn3Lt7J1ZJlEXTtPpXqWautV7FuVe6/Vgfg3gVfKtmor6NvZABAamKKsuzhjQfUb9cQ0xKmWJYpgYmlKYbSYtw5f1vZl/vX7mFdr5radqvaWHPngq9Kme+F2yp1HvwTQK0m31GyQikAylUvj0THgIyU+CIbPz82IpKsHpGT/B+hWrVqlCtXjsmTJ7N27VoMDQ1ZsmQJkZGRaqOZGzdupHr16jRpkntHGhkZiaVl/kdxlpaWREZGvlVf5HI5f/75JydPnsTDw4Pg4GCOHDnC5cuXlVo7duygTJkyeHt7K3OhMzMzWblypdJB37JlC9WrV+f69es0bNjwnc7Hv7i5uSn/rlixIsuXL6dhw4akpKRQrFgxTE1NlcenLuf6Xfq/Zs0aKlWqBIC7uzuzZ89+r35blrAAIDo6VqU8JiaOMmVKFVq3ePFiBARdQVdXh+xsOWNH/8xff11W7v9f987UrlOT1i2cVeolJL0gWy7HzMRYpdzMREpcQmKBWk0b1OHgH6dp07QRNapW5H5QCIdOnCErK4vEpGQszExV7P0Cgnn4OIzZ44d/Em37Ns2IT0zCdeRUUCjIys6ml2MHBrp0e6NubHxCgbpNGtTlwB+nadOsETWqVuJeYAiHTpxW0XVo25yEpCT6jpiSq+vUkYF9/vdWx/wxtROSksnOlmNmYpJH14TY+FsF6za04cDRP2nT3PaV7kMOHX+lm5iMhbkpTRvasHWPN/Vr16RM6ZL8ffMOf126RrY8u8A2BR8XSXEpEk1N5Emq3yV5UgJaxiYF1pEnxPNy7SKyHweBljY6LewwnLaYlNmjyQ64W7iecc61nhyTpFKeHJOE2TfmautJLYwLrFPcwlhtnZ7T+hF8PYDnQblPGnfN3EzveYNYe30zWa8czJ3zt/LgRm46WVJsIual1aeaGFsYkxSbqFKWFJuIsUXu+fJefQADIwOWnV2FPFuOhqYG2SkxxEeGF9n4+bERq1uoRzjJ/xG0tbU5cOAAAwYMwNTUFE1NTdq1a6eSa/w6aWlp7Ny5k+nTp+fbJ5Hkz9JXKBQFlr+Op6cnGzZsQCaTAdC3b19mzJjB6dOn0dLSUolOm5mZYW1tTUBA7gCmpaVF/fq5kbZq1aphbGxMQEDAezvJt2/fZubMmfj6+hIfH49cnnM/GxYWRo0a6idTvE5AQMBb9d/AwEDpIAOULFlSmdpREBkZGconAFpaWujr6xMemfND1LP7QCDnvL+OBAmKN4xYL16k0rxJFwwNDWjZqglz500lNPQply5eo3TpksxfMJ2ujv3IyJAV3ECe/7PilXJBDHHtQWx8Ij8Mn4RCocDM1BinDq3ZvNsbDY38D6IOHj9N5Qpl+bZ6lU+i/Y+vP+u3H2CaxyC+rV6Vp+ERzF+5CfOtexnq2lOdLApFzrkuiKGuPYmNT6TPsIlKXeeObdi065BS9/ptP9Zt2880jyF8V6MKYeGRzF+xAQuzPQx17VXYIX8y7Xy6qL/Gh/bvTWx8An2GjEWBAjMTY5zt27Jp5wE0NHN0J40czMwFK+jyw09IJFCmVEmcHdrhffx0gW0KPhF5BwwJar0eecRTZBG5jmda8H00zCzQ69yT1DxOsnazdkjMLdFzGYxerwGkzJ+sVu9NY1beDuV8DQuu5DJ7AN9UL8uC7rm/XY2cmtF/4TA0tDSRpctYP20NwxeN5PuJfXn28Bl+l+/kNvyGzuQdc5FIVMqadGlO866t+H3kEp4FhVG+RgXcl4xAQ8/o9c7nObJPNH4KPjnCSf4PUa9ePXx9fUlKSkImk2FhYUGjRo1UHM9/2b9/Py9fvsTV1VWl3MrKiqioqHz2MTExlChRolD9Pn36MHXqVHR1dSlVqpRyVYt8g84rCnK8C/qR/rdMQ0MjX1uZeXLiXic1NRU7Ozvs7OzYvn07FhYWhIWF0aFDB6Uj/za8bf/zroYhyTO45mXevHnMmjULgGLFilGiRAl0tIujq22MzqtVCEqUsCDqtUkf5ham+aLLBfXr0aMnAPj5BWBtXYkxY4dy6eI16tSthaWlOecvHVbaa2lpoVAosLBuiKaGBnF5opjxCUmYmUgL1NLT1WXORHd+HjuUuIRELExN2H/sFIYG+phIi6vYpqVn4PPXZYb3z59CYyI1+ijaKzftootdS/7XqT0AVSuW42V6BrMXr2bwD92VurHxiaq6iUmYmRqr1f1l4ghmjP2JuPhELMxM2Hfszzy6O+li14runf/VLU9aWjqzFnsy+IceaGhoFJm2ibQ4mpoa+aLV8QmJ+aJgKrqTPZgx3j1X98hJFV1TEynL500jI0NGYnIyluZmLF3jRemShY8bgo+DIjkJRXY2GsamvB7L1yhukpNn/JZkBd9Hp3n7fOWZNy6jSIhDdt4H2Tkf0M4Zs4pbGpMUk6i0K24uJTlPdPZ1kmIS80WNjcyl+aLLAN/PdKN2u/os7DmDhMh4Zfm9i3cBCesmr+LeVX+0XqUw3L14B8fBzkonWWomJbGQviTGqEaN/63zenS575T+eK8+wJWjFwEIC3zCT7NdMPumcpGNnx8bsbqFekRO8n8QqVSKhYUFwcHB3LhxAycnp3w2GzduxNHREQsLC5VyW1tbkpKSuH49N4f12rVrJCUlqaRlqNOtXLkyZcqUUVn2rUaNGmRlZXHtWu5M+Li4OIKCgqhevbqyLCsrixs3cvPnAgMDSUxMpFq1nHwwCwuLfKkjvr6+avvz4MEDYmNjmT9/Ps2bN6datWr5Irv/5lBmZ6t/JPy2/X9XJk+eTFJSEklJSYSHh3Pr1i2ehSXy6NETHgQEExkZTes2uRNetLW1adqsEdevFfxIXB0SiUTpdJ8/d4XGDe1p1qSLcrt18y7ytCQ0kp5So2olrt5QzQ+8evMOdWqpz+MD0NbSwsrCHE1NTU6cvUSLxvXzRUJOnruMTJZJ5/Yt89fX1v4o2mnpGfluvDQ1NFAocm4mtLW1qWFdias3fFV1b/hSu+Zb6Frm6PqcvURL21zd9IwMNDTy6Grm6iqPuQi0c851Za7+k0f3H19qv825/lf3zAVaNmmY7/+sq6tDCQtzsrKzOXX+Cq2bNVLTmuCjkp1F9qMgtL5TDZJofVePrCD/t25Gs3yVfKtYAJCeBtnZKF4kIY96jvxZKPKEOGo0+y63rrYWVRvVIOSm+knfj24HqdQBqNG8NiG3VOt8P2sAdTs2YrHLLGKfqY7jWbJMtHS0iIuMJ/JJJM+Cn5IQHY9JCRMkr64FLW0tajSqSeDNgvODAYJuBfJdc9Wc4tot6qjU0dXXQSHPn2Gro/NxxrB/KWz8/NiInGT1iEjyZ0JKSgoPH+bOTn/8+DG+vr6YmppStmxZAPbt24eFhQVly5bFz8+PUaNG4ezsjJ2dnUpbDx8+5MKFCxw/nn8me/Xq1enYsSODBg1i7dq1AAwePJjOnTtjba1+IkVhVKlSBScnJ2WbRkZGTJo0idKlS6s48Nra2owYMYLly5ejra2Nu7s7jRs3VqZatGnThoULF7J161ZsbW3Zvn07/v7+1K1bt0DdsmXLoqOjw4oVKxg6dCj+/v7MmTNHxaZcuXJIJBKOHTuGg4MD+vr6ypU+3rX/74quri66uroqZa87dKtXbWbMuJ8ICQklJCSUseN+Ii0tjX17jyht1qxbRMTzSGbNzFlqb8zYody+5cfjx2Fo62hjZ9eK3i5dGePxMwApKakE3A9S0Ux9+RLk2SiyMnDt0YXJ85ZT07oytWtas+/Yn0RExdKzS853aNn67UTHxPHrlFEAhD59jt+DYL6rXoXkF6ls3XeEh6FhzJ08Mt/xHjp+hjbNGmIsLXhpvY+h3apJfbbuO0r1KhX5tnoVwsIjWLlpF62a1FfeyLn2cGLyr8uUuvuP5uj2cuwAwNJ124iOjWPeFI9XuuH4BQTzXY2qJL9IYcveIwQ/DmPupFzdlrYN2LrvCNUqV+S7GlUJC49gxcadtGraQOUGsqi0XXs5M/mXJdSsVpnaNauz/4gPEdEx9HJ2yNFd45WjO21sjm5YOH4BQbm6e7wJfvyEuVNHK3Xv3gskKjaOalUqEh0Ti+emnSjkctxccvOw34WXL9MIe5a7Dm748ygeBIUgLW5ESavClzD7//KlaGf8sQ8D98lkhwSSFXwPnbad0TAvQcapowDofT8QDVMLXq6aB4Cuw/+QR0eS/Sw0Jye5eTt0GrckdfHPuY1qaqH5Tbmcv7W0kJiYo1muEor0NDKO78dh+A9Eh0YS9TgCh+HdkKVlcO1w7gRkt8XuJETFc2jBTgDObPqD8Xtn03GoE76n/qFO+wZUb/otC3rkplO4zBlII6dmrBq0gPTUdGXkOS35JZkZMtJT0gj8+x59p/RHli4jNjyagOv3se3UlNM7T1Kmalm6uXcnI13GpcMXlO26L/EgPjKOnQtylkf8Y/NRZu/9Faeh3fjn1DUatG/Et01rM737ZGWdm6f/oZt7D2Kfx/A06CkValZE09AM+cvEIh0/PyYiJ1k9wkn+TLhx44ZyuTKAMWPGANCvXz+8vLwAiIiIYMyYMURFRVGyZElcXV0LzDnetGkTpUuXzuc8/8uOHTsYOXKkcr+jo6Pa9Znfls2bNzNq1Cg6d+6MTCajRYsWHD9+XCVFwcDAgIkTJ+Li4sKzZ89o1qwZmzZtUu7v0KED06dPZ8KECaSnp+Pm5oarqyt+fgUvjG9hYYGXlxdTpkxh+fLl2NjYsGjRIhwdc5c/Kl26NLNmzWLSpEn8+OOPuLq6Ks/nu/b/Q7Ns6Tr09PVYvHSW8mUiXZ36k5KSqrT5pkxJZZ41gIGhAYuXzqZUaSvS09IJCnrE4IFjOXjgj7fS7NimGYnJL1izdS8x8QlULl8Wz/lTKfXqxzkmLoGI19I95HI5W/ceIfRpOFpaWjSoU4ttK+ZROs+PeejT59zyC2Dtwp9Rx8fQHty3BxKJhBUbdxIdG4+JcXFa2tZn5MA+Shv7Ns1ISk5mzZY9xMQnUKVCWVb/Nl2pGxsXr7LOabZczpa9h5W6DevUYvvK+SppBUP69nylu0Op26pJA0YOyNUtSm37ti1ISn7BGq/dxMTFU6VCOVYvmPmabkJ+3T2HCA0LR0tLk4Z1v2P76oUquhkyGSvWb+NZRCQG+vo0b1yPedPHUtxI9abzbfF/EIzbiInKzwtWrAPAyb4dc1857x+LL0U78+pfpBkVR+9/rkhMTMl+GkrK/EkoYnNS6jSMzdB4fc1kLW30+v6Ehqk5ClkG8qehpMybRJZv7lM0DVMzjBZsUH7Wc+yNnmNvsu75kjJ7NBdiTHCZMxBDqSGPfB+ytO8vZKSmK+1NS5urpKGF3Api3YhlOI/rjdOY3sSERbLOfSmPfXODQq375tw0jt8zS+X4No9bxZX95wBYN2IZncf3ZtTvYyhmXIyYZzHcuXCb+u0b0vJ/bXjoG8QvP8wgPTVNWd+8lLlKVDjo5gOWjVhE77F96D3WhciwSJa6L+Shb25gYeOM9fQe68LAOUORmkuJj4pH/jKB7BcxRTp+CooGiaKwpEqB4APh5eWFh4cHiYmJRd2VIkVarNKbjT4CMUFH3mz0BSKRfIUZZZpFFPvQ+HzfvPklkjp8wJuNPgLjr6lfyeJjk6h4+7kmH5IdV38tEl0AnVLq3875oZhbrs+bjd6CqU92fJB2PidEJFkgEAgEAoHgK+VLzSf+EHyFYRaBQCAQCAQCgaBwhJMs+CT079//q0+1EAgEAoHgc0PxgbYvEZFuIRAIBAKBQPCVItIt1CMiyQKBQCAQCAQCQR5EJFkgEAgEAoHgK0W8cU89wkkWCAQCgUAg+EqRf7EZxf9/RLqFQCAQCAQCgUCQBxFJFggEAoFAIPhKEXFk9QgnWSD4hKTK0t9s9BFI6DOsSHQBvsaX3hXlMUuKaFTXNi/Cn5MiOt+K9KJbF8Bw1cYi0U2t93Ff210Y5hLdItEtyvGzxF/nP7qGWN1CPcJJFggEAoFAIPhKETnJ6vkKYzwCgUAgEAgEAkHhiEiyQCAQCAQCwVeKiCOrRzjJAoFAIBAIBF8pIidZPSLdQiAQCAQCgUAgyIOIJAsEAoFAIBB8pYiJe+oRkWSBQCAQCASCrxTFB9reB09PTypUqICenh716tXj4sWLhdqfP3+eevXqoaenR8WKFVmzZs17Kr8dwkkW/GeZPn06gwcPVn5u1aoVHh4en0R73LhxjBw58pNoCQQCgUDwpbFnzx48PDyYOnUqt2/fpnnz5tjb2xMWFlag/ePHj3FwcKB58+bcvn2bKVOmMHLkSA4cOPDR+ihRKBQizi54K65cuULz5s1p3749Pj4+RdqXqKgoqlSpwt27dylfvjyQ4yTXqVOHZcuWfTCdOXPmcP78ecLDw6lTpw5eXl7o6uoSHR1NpUqVuHv3LhUqVHjr9rR0Sqt8/nn6GAYO6IOJiZTr128zYtRU7t8PUlvf2dmeSRNHULlSebS1tQl++Jily9ayY0fuIKGpqcmMn8fyfe+uWFlZEBERjeX5M6Ru2woKBfpOzhj26o2GmSlZoaG8WLmSTL+7b+y7dq1amCz7nazHj4kfNFBZrtehI9JJk/PZR9m1h0yZyos19B2dMeiZq53i+ZbaNWthvDRHO2GIqnbxCfm1ozvmaH8sXQCJYTEMBwxEt1kLNIyKkR0RScqaVciuX1M5Zr0uzhj0yNVOXb2STP83a2vVrIXx4t/JDn1MwtACtN0GotP0lXZkJKlrX2m/SqLT6+SMfvfeaJiakv0klJS1K8m69xa6NWohXZCjm+ieqyv9bRna39XNZy+7fpXkGZNUXiai09YR3U49kUjNkIeHkrbdk+wgvwL1NKvVptjUJfnKX0zojzziKQDarRzQaWaH5jflAch+HET6vo1kPwrMMX51vnXaOKLr8Er3eShpO96gO7kA3Um5ulr1mqHbxQVNy9KgpYk8MpwMn31kXjkNqL5MRMfOCd0uvdAwNiP7WShpW1aS/aBgba0atSk2Y1m+8uTRrsif52hrfFMevZ4/olWhKhqWVqRtWUnG8dzr/F1fJnLD14/NO/dz/8FDYuLi+X3edNq2aPJObQAc2XadNi52GEoNeXg7mM3T1xEe/LTQOg3sG9NjrAslyloRFRbJ3oU7uHHymoqNSQlTvp/sSu1WNujo6RDx6DnrJ6zksf8jAP7n0Yu2LnYYSIvxMikF4xKm7JvtxdlNx9Xq1u3YiC5je2FetgSxYVEcXrSLOyf/Ue6v3LA67Qc7UvbbChiXMGXN4IXc+fMflTY6efSgY7eGaFpYosjKIjshHg0DQzSKG32S8fNTvExkVPneH6Sd30N3v5N9o0aNsLGxYfXq1cqy6tWr4+zszLx58/LZT5w4kSNHjhAQEKAsGzp0KHfu3OHq1avv3/FCEDnJgrdm06ZNjBgxgg0bNhAWFkbZsmXV2ioUCrKzs9HS+jhfsY0bN2Jra6t0kD8WEyZMYPr06SgUCqpWrUpISAg1atTA0tISOzs71qxZw2+//fZebY8fNwyPUYNxGzia4OBHTJk8Cp/ju6hRqwUpKakF1kmIT2Te/OUEBj5EJsukk0M7Nq5fQkx0LH+eyhlMJ4wfzuBBfXEb4MG9+4HUq1ebGC7v/wAAwmBJREFU3ZuWIU9NQR4fj9Fwd14sW4rM3x/9Ll0w/u034vr3Qx4drbavEkNDik+aguzWLTRMTPLtl6ekEOfaV7XwNScVQLdVa4oNc+fF8qVk+vuj37kL0nm/Ee/2/9eO769e+6PoamlhvGAx8sQEkmf9THZMDJqWlihevlQ95patKfaTOykrlpJ5zx+9Tl2Q/vob8QP6IY8pRNvAkOITppB5u2Bt6W+vtOf8jDwmBg0LSxRpudo6LVpjOMSdlFVLybrvj55DF6RzfiNhyJt1jcZNIdP3FhrGqrrJc6aDtrbys4ZRcYw9N5Jx8ZyKnXajVuj9MIw0r+VkB/uj07ozhuPn8WKSG4o49dovxvdDkZb7vVckJ+UecvXaZF49S1rwPciUodupF4YTFvBi8gAUCbE5ug1boddnGGlbl5Md9Ep37DxeTHZDEV+I7oR+KNIL1lWkviDj6I4cxzU7E63atugPnIAiOZEs/xu5x2zbGv1+w0nbuIysQH9023Wh2OTfSB7Tv9BjTvboi+JlwdoSXV3kUc9J+/sc+q7D1bbxtqSlpWNduSLODnaMnvrLe7WhoS/FfqAja8etIOLRc7qO6M6UHTMZ23o46akFv020io01I1eOY9/indw4eY36HRoxctU4ZnWfQohvMACGxQ2ZeWAe96/6saDfHJLiEilRzorU5JzvdJehXbEf6Mi2cZ4YlzSjy+ieyLPlaOmo/32pYFOFASs9OLpkD74nr1OnQ0MGrRzNoh4/E+r7EABdA13CA0K5uu8vhqwdV2A70Y+e8+L338mOeI5O8+YYDfkJhUxG/JjR6LVq/cnGz4+J4gPlJGdkZJCRkaFSpquri65u/jclymQybt68yaRJk1TK7ezsuHLlSoHtX716FTs7O5WyDh06sHHjRjIzM9F+bXz6UIh0C8FbkZqayt69e/npp5/o3LkzXl5eKvvPnTuHRCLh5MmT1K9fH11dXS5evIhCoWDBggVUrFgRfX19ateuzf79+5X1srOzGTBgABUqVEBfXx9ra2t+//33N/Zn9+7dODo6Fmrj4+ODVCpl69atAPTv3x9nZ2d+/fVXSpQogbGxMbNmzSIrK4vx48djamrKN998w6ZNm5Rt/Htxz549G2dnZ2rUqKHc5+joyK5du97YV3WMHDGQefOX4+19gnv3AvnRzQMDA32+791VbZ3zF65y+LAPDx485NGjJ6xYuZG7fgE0bdpQadO4UT2OHD3J8RNnePLkGQcP/oHsxj9oV62GYY+epB0/TtrxP8gOe0LKqpXIo2MwcHQqtK/Fx4wl/cxpMu/dU2OhQJ4Qr7LlxaB7T9JOHCf9X23PHG39LoVrG43O0c66/37aH0NXr6MDGsWNSPp5Kpn3/JFHR5Hp70fWoxAVO/3/9STd5zjpJ3K0U1evJDvmzdrFPMaSfvY0meq0jYxInjGVrFfaWff8yH5NW79rT9L/PE7GyT/IfvqE1LU5unqd3qA7ciwZf50mKyC/riLlBYqEeOWmbVMfRUZGPidZx747svMnyDx/HPnzMNJ3eCKPi0anbZdCteXJCSiScjcUuVHatNXzkJ05gjwsBHnEU9I2LgENCVo1ciPbOh27I7vwSjcijPSdnsjj30L3hXrd7Ad3yLp5GXlEGPLoCGSnDiJ/+gjNqrVU2tDt1APZ2ePIzh5HHh5G2pZVyOOi0bUrfIx6XTefdkgg6TvWknnlL8jMLLSdt6G5bQNGDu5H+1ZN37sNDX0ph1fu5x+fv3kWFMbqscvR0dOliVMLtXU6unXG79Idjnge5HlIOEc8D3Lv8l3s3XL/L11+6kZcRCxrx68k5E4wsc9iuHfZj+iwyJw2BnTm8Mr9PPYNxm6II0u/nwkSKFurolrdNm6deHDpLic9vYkKec5JT28eXPGnjVsnpc29c74cWZzjRKvjnyOXkd26SXZEBPqtWpN24gQaenpo6Op+0vHzv8C8efOQSqUqW0ERYYDY2Fiys7MpUaKESnmJEiWIjIwssE5kZGSB9llZWcTGxn6Yg8iDcJIFb8WePXuwtrbG2tqaH374gc2bN1NQps6ECROYN28eAQEBfPfdd0ybNo3NmzezevVq7t27x+jRo/nhhx84fz4n6imXy/nmm2/Yu3cv9+/f5+eff2bKlCns3btXbV8SEhLw9/enfv36am12795Nz5492bp1K66ursrys2fP8vz5cy5cuMCSJUuYOXMmnTt3xsTEhGvXrjF06FCGDh3K06f/x955h0VxvHH8c3f03sFeQOyNWKLGFrF3Tewt9tgLdo0t9l6i0ahYY++xN+xdsCJNUVEQUIp0Du73x8HBwR1qApJfnA/PPg83OzvfeWd35+befWdW+fgwOjqa7t27Y2lpyaJFi9Q0atSowatXr3jx4sVntSVAiRJFKVDAnjNnMx6lJSUlcenyDWrV0m5XVr5v+B2lnR25fPmGKu3qtVt83/A7SpVSfoFUqlQO3QoVSbp9Cx1nZ5LuqD9OTLpzG90K6l/6mTFo1hxZwULEbtmiNY/E0BCbnbux2bMXi7nz0HEqpZ5BR0ez9t3b6JbPQbtpc2QFChG7NWdt6z93Y71rL+Zzsmjnka5+7TokP3mM6YjR2Ow7iNUGd4y69QBppi41Xftudm2dHLT1myrbO26bZm29Wkptk+Gjsd5zEMv17hh1zaSto4NOKWeS76nrJt+7jW65HHQbN0daoBBxO7S3dWYMmrQk6eJ5SMzkQZTpICvujPzhHbW88kd30SlVPsfyTH9dh+mqPRhPXISsbJWcxfX1QaaDIvaDuu4jDbpOH9GdtQ7TFXswHr8IWZmcdWXlqiItUJgUn0xhFDIdZCWdkT/Ion3/DjrO2tsbwGTBH5j9vg/jqUvQKZ+zdr4j1UEi1eHBZS9VkjxJjvfNxzh/U0brYaVcSvPwkpda2oNLXpT6prTqs0vj6jx74M/INeNYe3czc48voWGXxgDYFbHH0s6Kh1fu89Oy4ZxZf4SgJy+QJyZjXcROq27Jqs48uaweBvHk0n1Kujh/htGZ0NFBx7k0EpmU1JgPJPsrf5R+kf4zj0nNpW3SpElERUWpbZMmZQ8lyYxEIlH7rFAosqV9LL+m9NxChFsIPomNGzfSo0cPAJo1a0ZMTAznzp3D1dVVLd+sWbNo3FjZucXGxrJ06VLOnz9PrVq1AChZsiRXrlxh3bp11K9fH11dXWbOnKk6vkSJEly7do09e/bQqVMnjXV58eIFCoWCggULaty/Zs0aJk+ezOHDh2nYsKHaPisrK1auXIlUKqV06dIsXLiQuLg4Jk+eDChv8vnz53P16lW6dOlCz549uXHjBgEBAfz5558sWbKEOnWUnphChZTxxYGBgRQrVuyz2tPBXtm5v32r/uv37dswihUtnOOxZmamvAy8i76+HikpKQwbPpmz5zJmBC9c9Bvm5qY8fniRlJQUZDIZsRs3kOR5D4lMJ5uXIiUiAj1LK41askKFMBkwkIiRwyE1RWOelJcviZ4/H/nzZ0iMjDHq2BGrVat5178vKa9fAyA1N9eonRoRgdTqI9qjtGvLX74keuF8Up49Q2JsjGGHjliuWM37gUrtvNKVFSiArGpVEs6dJXLSBGSFC2M6YhTIZKrBrTZtRUQE0pzau99AIkfnoO1QAFkVpXbUlAnIChXGZHia9vYtSM202BwZgUSLrrRgIYx/GkjkOO26mdFxLoNOiZLELFcPNZKYmiORyVBER6jbHBWBxFyztiLyHXEbl5Dy3A+Jri66dVwxnriI2Llj1AejmTDoPIDUiHDkj++q60Z9pu6mJaQE+iHRSdOdsIjY+Vl0DY0xW74bdHQhNZX4rStUugASM6V2ahbt1KgIdCyyP1oHSI14T9y6xaQ89wUdXfTqNcF46hJiZo0mxfvj8a35gUQqAyAqLFItPTo8EptCtlqPs7C1ICpc/Zio8EgsbDPaxq6IPa49mnFiwxEO/bYPx8ql6D2zH/KkZEJeBANQo0UtUuQpXHA/AUBqSioGJoZadc1sLfiQpa4fwiIxs7X4iKXZ0fu2Fua/TEcik6FX81si3NxUoTFfov/Ma3JrCThtoRWasLGxQSaTZfMah4aGZvMWp+Pg4KAxv46ODtbW1n+v0h9BDJIFH8XHx4dbt25x4MABAHR0dOjcuTObNm3KNkjO7N198uQJCQkJqkFzOklJSVStmvGY9Pfff2fDhg28ePGC+Ph4kpKSqFKlitb6xMfHA2BgYJBt3/79+3n79i1XrlyhRo0a2faXL18eaSZvn729PRUyeQFkMhnW1taEpsWXHT58WGs9DA2VHXRcljjUdDLHZ+no6GBoaEjke+WkvDZtld7trN54iUSi0UOfmQ8fYvimehNMTIz5vuF3LF40nefPX3LxknLiQqdObejWtSM9eg3lyRNfKlcuj/vy2SjSPX5ZipdoSgSQSjGf+guxm91JCQrSWp9k7yckez9RfY569BCr9X9g1KEjH1atzNEWpbRmbbPJvxDzEW259xPkmbSTHz3E8vc/MGzXkZjfPqL9D3SRSkmNiOTD0sWQmorczxeptQ1Gnbpk9wBnlZFo1zad9AuxW91Jef0R7chIYparaxv+2IW47Zm0P0d3wi/EbXcnNSfdTOg3bYn8+TPkvk81Z/hUbSA1JIjUkAzdFP8nSK3t0G/RiTgNg2S9lp3R/bYhsXPHZg9D+Ce6AU+QWtmh3zyLbkIcMdMGgoEhOuVcMOz6M6lhwaQ8vZ9FW8ONpeVWTg1+RVJwxmS3eL8nSK1tMWjVidh/ySBZom+CzMRG9TklSvMjcD6hz/pYPyeVSnj2MIDdi3ZQp109ekztg1QmY9Di4fza9RcAGnZ2ZV6LCVkKztmGbLslOZyUHEjy8iTSbSxWv61B7v0Ei+kzeDdkMIrIyPzvP3OB/Fi9QU9Pj2+++YYzZ87Qvn1GiOGZM2do21Zz+EqtWrU4evSoWtrp06epVq1ansQjgxgkCz6BjRs3IpfLVZ5TUHZ6urq6REREYJlpIoKxsbHq/9RUZXzdsWPH1I6FjFjfPXv2MHr0aJYsWUKtWrUwNTVl0aJF3LypPvM5MzY2yo47IiICW1t1D0aVKlW4d+8e7u7uVK9ePdsjmKw3kkQi0ZiWXveceP9e6anLWod05s2bp/KSm5iYYG9vj0RqjFRmgr6+HgAODraEhGRM+LCzs+FtaM6xVQqFgoCAQADu339MmTJOTBg/TDVIXjBvGgsXrWbPniMAPHr0lN++q4RRm7YoUuTZPKhSS0tSI9S9YAASQyN0y5RBp5QTpiNHpiVKkUil2J09R8Q4N5I9PTVVkOSnPsgKZXjEU6OilNqWf0N7hLq27elzRI53I9lLs7bcxwdZ4cJ5qpv67h3I5ZDpOkl5+QKZtTXo6ECqPEM7S3tLLCxJjdSiXboMOk5OmAxT17Y5eY6oiWna73PWTo3WrCs1t0ShTde5DDqOThgPUde1/usc0VPcSL6fqa319dGv/z1x2zZlK0vxIQpFSgoSc3UPqsTMMpt3OSdS/J+gW9s1W7peix8xaN2N2AXjSH31LLuuxT/UDdCgq1CQGvoGgKSXAcgKFkW/VVfi0gbJimilttTCisy+QqmZZTbPdk7I/Z6gV7fxxzN+IRRJscgjMoXSpPWl5rYWRIZm2GVmbU5UeFTWw1VEhql7jTOOiVR9jgiNUK2QcffMLfw9fandti6NezXnw/toAEytzJhzbY3qGJmODPuSBfn1ymqmfjcsm260Bq+xqY050WHa66qVhASSfX1QpMiJP3ECk0GDMWzRkrg/d3yR/vO/ypgxY+jZsyfVqlWjVq1arF+/npcvXzJ48GBA+WT39evXqnlFgwcPZvXq1YwZM4YBAwZw/fp1Nm7c+I/mBn0MMUgW5IhcLmfr1q0sWbIk26zSjh07smPHDoYNy95BAZQrVw59fX1evnxJ/fr1Nea5fPkytWvXZsiQIaq0gIAAjXnTcXR0xMzMjCdPnuDs7Jxt35IlS2jQoAEymYzVq1d/ipl/i0ePHqGrq0v58ppjHidNmsSYMWPU0iytyyCRKAfBwcFvcW1UDy8v5WQOXV1d6tX9lkmT535WPSQSiWrQDWBkZEhqqrpvQJGaChIpcl9f9KpVI/FKRniG3jfVSLx6JVu5irhYwn/qo5Zm1K4delWrEjl9OikhwVrrpOvkhPx5xiAGuVyp/U01kq5+mva7furahm2U2lEzc9bWccyknUe6yY8fYfB9I+XAIc0jJitcmJTwcOUAVppJ2yWLtks1kq5p1n4/IIt263boVqlK9OwMbfnjR+g31KD9Lk0bkPv5olu1GknXMnR1XaqRdF2zbsRgdV2DVu3QrVyVD3Oyt7V+3YZIdHVJPH8mW1mkyEkJ9EWnwjfI715VJetU+Ibke1ez59eCrFgpFFHq4SJ6LTph0LY7sQsnKsMUNOmWz6Jb/huSPT9TN/Jjk6YkSHQy/bBOkZPyzBedStVIvp3RvjqVviH5zmdoFy9FasS7T86f5ygUoJCrJ6XKqfhdZV48fg6ATFeHsjXLs3P+Vq3F+N3zoWLdypzYmOEBrFivCn53fVSffe8+pUBJpSMlITaBhNgQjM1NCH35ltd+r4gKi+TKoYvc23sJAKmOjMl/zefJ5QfsnemuUfeZpy9lv6vI+Y3HVGnl6lbi2T3tS2zmSPr9XK0aSECS5lz5Iv1nHpNfb9zr3Lkz7969Y9asWQQHB1OhQgWOHz+uCl8MDg5WWzO5RIkSHD9+nNGjR/Pbb79RsGBBVq5cSceOHfOsjmKQLMiRv/76i4iICPr164e5ubnavh9++IGNGzdqHSSbmpri5ubG6NGjSU1N5bvvviM6Oppr165hYmJC7969cXJyYuvWrZw6dYoSJUqwbds2bt++nePaw1KpFFdXV65cuUK7du2y7Xd2dubChQs0aNAAHR2dXF03OTOXL1+mbt26qrCLrGiKz8rs2V65agMTJwzHz/85/v7PmThhOHFx8ezcdVCVx33TCt68CWbK1PkATBg/jLt37xPw7AV6ero0b9aInj1+YOiwjMkRfx07w6SJI3j16jWPn/hQpUoF5aoWJ46T7OeL+aQpJPv4kPz4MYatWiG1tyPuqNLrbNJ/AFJbW6LnzQWFgpTA52r1T42IQJGUpJZu3Ks3yd5PSAkKUsXU6Tg5Eb1imdqxcfv2YDZxCnJfH5KfPMawZSukdnbEp2kb9xuA1MaWDws0aysis2sb9eytDLl4HYTUyBjD9krtDyuX5alu/JFDGLbrgMnQEcQf2o+sUGGMu/Ug7oD6ovbx+/dgOiFN2/sxBi1aIbOzI/6vNO2+adoLtbR3ZAQkZ9E+egiDth0wGZKhbdS1B/GHMrTjD+7B1G0Kcj8f5N6PMWjeCpmtHQnHlbpGfQYgtbYlZkma7ovsNpOUlC0dwKBpS5KuX0HxITrbPoCkE/swHKwcyKb4P0GvYUuk1nYknVMOkvQ79UNqaUP8OmU8s17TDqSGvyU1KBB0dNCt44pujXrErpiuKlOvZWcMOvYhbs1cUsNDVJ5qRUK8auJg0sl9GA7SoHs+TffHNN31abpN0nRfp+nWdkW3ej1iV2bo6rfqqiwv9A0SHR10KtVEt05j4reqr8CTeGwvRsMmkRLgg9zvMXqNWiG1sSfxjFLboGt/pFa2xP2mnOmv36IjqaEhpAQFKmOS67qi9219Ypf8klGoTAdZ4bS5Djo6SCxtkBVzRJEQT+rbNxrbPifi4uJ5GZRx3Os3b3nqG4C5mSkFHLRPgMtManwUbYf+QEhgMCHPg2k7rCNJCYlcO3xJlefnpSN4H/Ke3Qu3A3DS/S9+2TOH1oPbc/fMLb5pXIMKdSox84fJqmNObDjKjAPzaDu0Izf+uopjlVJ8360JGycp1889vuEIbYZ05NUdX8Keh9BkUBsUCgW+1x/x9plysNl7yVAi377n8EKlV/HCpuOM2TOTJoPbcv/MbSo3rk6ZOhVZ/GNGG+sb6WNb3EH12bqIHYXLFSM2MoaIN+/QM9Sn+bAO6D4+Tcr7dyRcvoxJ/wGQmkKyrw8mQ4Z+sf4zL/n4c9O8Y8iQIWpOssxkXUULoH79+ty7dy+Pa5WBGCQLcmTjxo24urpmGyCD0pM8d+7cHC/Y2bNnY2dnx7x583j27BkWFha4uLioJsoNHjwYLy8vOnfujEQioWvXrgwZMoQTJ07kWK+BAwfSr18/Fi5cqBZjnE7p0qU5f/68yqO8ZMmSz7T84+zcuVNt0uHnsmjxGgwNDVi9cq7qZSLNW3ZTWyO5aJGCaqEfxsZGrFo5j8KFHYiPT8DHJ4BefUawd+8RVZ6Ro6Yyc8Z4Vq2ci52dNW/evCXu6BHlSg1yOR/MzDHp1QuplTXywOdETpxA6tu3AEitrZHZfdoXZjoSExPMxrghtbJCERtLsr8fESNHIH+qHq+a6HGBGDNzjHtmaEdNmkBq6N/XlpqYYDrGDallJu3RI5D7ZGjnhW5qWBiRE9ww/Xkohn9sIjU8nLgD+4nb9ae6zRcvIDEzx6hHJu0p6trSv6EdNdENk5+HYrleqR1/cD9xuzO0ky5dINbUHKNuSt2UwOdE/ZJJ1+rzbQaQFiqMboVKRE0eqzVP8k0PJCZmGLTricTCitSgQGIXT1KtFyy1sEZqnUlbRxeDroOQWtqgSEok9fULYhdPQn4/Y1ku/UZtkOjqYTxyhppWwoEtJB5UejGTb6Xptk3TfR1I7NJMuubWSK2y6HbJortkEvIHmZYD0zfAoNcIpFa2yjzBr4hfN4/kWx7qNl+/QLypGQYdeyGxtCLlVSAx8yeiCH+r3eaePyO1StN+FUjMvInIvTLCzKRW1pgu3KD6bNCmCwZtuiB/7EXMrNFa218bj5760Xd4RkzvwlXrAWjb3JU5U7Wfz8ykxkdxctsZfvp1IMZmJgR4+TGvx0y1NZKtC9qqPcnyu+vDquFL6DS2Gz+O7crbl29ZNWyJao1kgGcP/Fk2cAGdJ/Sg/YhOhAWFsm3mJq4eUg6+j/5+ED0DPbrO7o+RuTHPvfyJDotEnpTh6bYqZKMW5/zsni8bhy+njVsXWo/pTNjLEDYMW65aIxmgaCVHxuyaofr847TeAFzf58FWtzWkpqZi71gQ806zkJqbkxodjfz5M6QWFljMmPVF+09B/iDeuCf4v0ShUPDtt98yatQounbt+sX1jx07xrhx43jw4MFnvTAl6xv3vhSv6zjliy6g9va5r4X8tFmST66PzG/c++LkU3tnfuPel+Zz37iXW/T+5tMG1HmBuSRvJmd9jBkl3uaLLvBF3rjXv/gPuVLOhsB9H8/0f8ZX+PUl+C8gkUhYv349crn845nzgNjYWNzd3fPsjYICgUAgEHwJcmud5P8i4hte8H9L5cqVqVy5cr5oa1vDWSAQCAQCwX8DMUgWCAQCgUAg+EpR5NPqFv8PiEGyQCAQCAQCwVfKfzVUIjcQMckCgUAgEAgEAkEWhCdZIBAIBAKB4CslVSxyphUxSBYIBAKBQCD4ShFDZO2IQbJAIBAIBALBV0p+vZb6/wERkywQCAQCgUAgEGRBeJIFgi/IcvuG+aI75XnCxzPlERIk+aYt+HJ8jctI5ee1HZtPb77bcndJvugC9PpmTL7oTnlumy+6ABs+nuUf8zXeu5+KGCQLBAKBQCAQfKWIJeC0I8ItBAKBQCAQCASCLAhPskAgEAgEAsFXipi4px0xSBYIBAKBQCD4ShExydoR4RYCgUAgEAgEAkEWhCdZIBAIBAKB4CtFTNzTjvAkf2X06dOHdu3a5UnZSUlJODk5cfXq1Twp/2PkpW1ZWb16NW3atPkiWgKBQCAQ5BUKhSJXtv8iwpP8BejTpw9btmwBQEdHBysrKypVqkTXrl3p06cPUumX+62yYsUKtYu5QYMGVKlSheXLl//jstevX0+xYsWoU6fOPy7r38L69evZs2cPYWFhODg4sHPnTqysrBgwYABz5szhypUrfPfdd3+r7Aq9XHEZ1AIjOwve+77m8sztBN/y0ZjXyM6C76Z1w7ZiCSxK2HN/02muzNyulqdks2pUG94G82L2SHVlRD5/i9f64/gcuEqbUZ2o19UVI3Njnnv5s2PaH7zxC8qxfi7NatJubBdsizoQ9jKEg4t34nnqlmp/8yHtcWlakwKOhUhKSCLgng/75m/n7bM3qjxmNuaM3jqNQqWLIpFKiIuKZcOoFTzy8PqodtuxXbAtak/Yy7ccyqbdDpemNXHIpL1//g417fbjutLopxboGeqjUCh4FxTKqfVHubj9dJ7q6hsZMPbP6RSrWBKJVEJSQhKn/zjKkaW789zmPwL3aix779xtnF5/JM90AbrN7EfdLo3Q0dNFkZpKkO8rVvebz/s34TnanNM11qBHExp0b4p1YeU6tW/8XnF05T4eeXgCINOR4bZrJiUrOyHVkZGSLOehhxfbp64nKjQiT3XbuXWlzg8NMbUyAwlEh0exfvgyfG880aqbW+3dflxXvv+pBfpp13ZYUCjH1h3i7PZTWnWrN/+WH8d2w76oA29fhrBn0Q7unLqplsfS3oquk3pRuYELegZ6BD97wx/jV/P80bNs5UmNbZAZmpESE05qQnSONt/xeoj7n/t48tSfsHfvWTFvGo3q1c7xmGx6RpasubUJY3Nj/D39cJ+2jiC/VzkeU6N5LTWbdy/artHmbiqb9Ql+9ob141fz/FEAAOY25kzeNoPCpYul9WEx/PGJfdg/7T/1jQw+q40EuY/wJH8hmjVrRnBwMIGBgZw4cYKGDRsycuRIWrVqhVwu/2L1MDc3x8LCIk/KXrVqFf3798+TsjOTlJSU5xrp9O7dm7Nnz3L//n1SUlK4eVPZwerr69OtWzdWrVr1t8p1al2TutN7cGfVEXY3n8qbWz603joOk4LWGvPL9HSIf/eBO6sOE/7kpcY8iZGx3Fl1hH3tZrKzyWS891yi0ZKBfL+oP437teLPXzbya5uJRIVFMmb7L+gba++AS7o4M2j1GK4fvMTMFmO5fvASg1aPoUSVUqo8pWuW48K2k8xtP4mlPWchlckYs3Uaeob6qjxTDs+nYOkiHFi4g1X9FhAbFcPwjRMxtTbPUXvg6tHcOHiRWS3cuHHwIgNXj6ZEFSdVHuea5bmw7RTz2k9mWc/ZyGQyRm+dqtJuNrgtTQa2ISEmns3j1vDw/D2MLUzpOqMvlRtXyzNdgDF//kKxSiU5snwPy3v9yhvfV7Qa3pFqrbQPCnLL5oSYeDaPX8OiLtPxPH2LuKhYUlNTuXfiRp7a3HFidxr2asYjD0/WDl3CQw9PrByskcq0f8V8yjUWEfyO/Qu282ubCfzaZgJPrz1i2PrxFCxVGIAWQztQskopzrofY2W/+fjefELFhlUZsWlSnurqGerj0rQGBsYG7Jy5iQ2jViLTkTJ627SP3le5dW3Hx8SzbtwqPM/fxcTClN4zB/BN4xoadUu5lGbEajeuHPBgUvPRXDngwYjf3HDMZLOxmTEz9s8jJVnOwt6zGec6nB1z3ImNjstWnkTPCKmuPoqUT/vuio9PoLRTSSaPGfJJ+bMiNTRHamCO+y/rmdJ6HJFhEUzeMRODHNo6s80Tm4/iygEPRv42LpvNM/fPR56cwoLes3FzHc72Oe7ERseq8sw+sohCpYuyf+F2VvabT2xUDCM2TvpoH5Yb/WfnaX3+Vnt9LqkocmX7LyIGyV8IfX19HBwcKFSoEC4uLkyePJnDhw9z4sQJNm/erMoXFRXFwIEDsbOzw8zMjO+//5779++r9s+YMYMqVaqwbds2ihcvjrm5OV26dOHDhw+qPPv27aNixYoYGhpibW2Nq6srsbHKmz5zSEKfPn24ePEiK1asQCKRIJFIeP78OU5OTixevFit/o8ePUIqlRIQEKDRvnv37uHv70/Lli1VaYGBgUgkEnbt2kXt2rUxMDCgfPnyeHh4qB375MkTWrRogYmJCfb29vTs2ZPw8AzvU4MGDRg2bBhjxozBxsaGxo0bf1Kb3717Fzs7O+bMmaPWdps2baJo0aKYmJjw888/k5KSwsKFC3FwcFDLD8rzBrBp0yZsbW1p1qyZal+bNm04dOgQ8fHxn1SfzFQZ0Jwnuz14ssuDCP83XJm5nZg376jYs5HG/B+Cwrk8Yxs++6+Q9EGz3usb3jw7eYcI/zdEvwjlwaZThHu/wqn1txz77QD3Tt3kje8rNo1dhZ6hPjXb1tVav8Z9W/LkygNOrDlISMAbTqw5yNNrD3Htm3F+l/eew7V9HrzxCyLI+wXu437DurAtxSqWBMC+RAGsC9ly3v04p9Yd4eH5u8xoOhaJRMqPU3pq1XZVaR9K0z7E02uP1LRXZNNeo6bdqG9LYiM/cGHbKa7t8+D3Icq3hEW+fU/xio55pgtQrEJJvK884Niq/Ty5/ICFP05DkZpKrQ718tzmY6v3c3XPBXxvPGH9sGXoGenz9lkw4a9C89Tm7/u04OXj5/w2aBH3jt9g7c+LkcqklKtbWavNn3KN3T93l4cenrx9Hszb58EcXLyTxLgESlZ1BqB+9yYcXLyTvXO38fD8XVb2m4c8MZliFUpiVdAmz3TjP8Shb2zI0RV7ubDlJLcOX2F1vwXo6Orwfa9mGnVz8zzHRn7g7LYTXNp7gRU/LwQFRLx9T8lKmq/tZn1b8fDKfY6sOcCbgNccWXOAx1cf0Lxva1We1j934F1wOOvGrSbgvh/hQWE8vvqQ0Jch6oVJZciMbZB/CIVPHBjVrVWdEQN707jB33vKKDU0JzU+gtsnbxDk+5K1Y1egZ6BPnbba76nmfVvz8IoXh9fs503Aaw6v2c/jqw9oodHmVWk2h/L46gOVzQ4lCmJbyI5zmfqw6Wl9WKcpvbRq50b/CeDo4vy32utzSc2l7b+IGCTnI99//z2VK1fmwIEDgDIuqGXLloSEhHD8+HHu3r2Li4sLjRo14v3796rjAgICOHToEH/99Rd//fUXFy9eZP78+QAEBwfTtWtX+vbti7e3Nx4eHnTo0EFjvNCKFSuoVasWAwYMIDg4mODgYIoWLUrfvn1xd3dXy7tp0ybq1q2Lo6PmTvjSpUs4OztjZmaWbd+4ceMYO3Ysnp6e1K5dmzZt2vDu3TtVfevXr0+VKlW4c+cOJ0+e5O3bt3Tq1EmtjC1btqCjo8PVq1dZt27dR9vWw8ODRo0aMXPmTKZMmaLWdidOnODkyZPs3LmTTZs20bJlS4KCgrh48SILFixg6tSp3Lih9LwlJSUxcuRI/Pz82L59OxJJxmtoq1WrRnJyMrdu3cqmnxNSXRl2FUvw6tIjtfRXlx7hUK2UlqM+n8J1ymPpVAA9YwMeX874oSVPkuNz8wlO35TWemzJqs48yXQMwONL93Fy0X6MkakRALGRMQDYFrUH4On1x6o8yQlJyJOTccyhHM3aXjkeY5hJ26aIHRZ2lvjffkoV12pY2FshT5LzxvcVFnaWPL50X2MZ/1QXwKaIHTIdGZYOVljYWwHg+E1pFAqQ5BBWlVs2Zz7PhmbGSGVSPryLyjNdUJ5nPQM9nnn6MmrrVJbe2cj4PbMJefYmV68xiVRK9dZ10DM0IOCer0ab5UlygnxeoFAoiMvkDcxNXUCjdnpYT6EyxT7T5r93bbu4Vscy7doO8nuJhZ0lDy56aSyjlEtpHl5S3/fgkhelMp0fl8bVefbAn5FrxrH27mbmHl9Cwy7qDgmJRILMxI7U+EhISdZa51xFqoNEqkNqUoZzQJ4kx/vmI5y/KaP1sFIupXmQxeb7lzwplemYbxrXUNn8+93NzDu+lO8z2Wxf1AGAp9cz+uqMPkz7ADY3+k8AvztPtebPTRS59PdfRMQk5zNlypThwYMHAFy4cIGHDx8SGhqq8mAuXryYQ4cOsW/fPgYOHAhAamoqmzdvxtTUFICePXty7tw55syZQ3BwMHK5nA4dOlCsmLKzrlixokZtc3Nz9PT0MDIywsHBQZX+008/8csvv3Dr1i1q1KhBcnIy27dvZ9GiRVrtCAwMpGDBghr3DRs2jI4dOwKwdu1aTp48ycaNGxk/fjxr167FxcWFuXPnqvJv2rSJIkWK4Ovri7OzsiNycnJi4cKFH29Q4PDhw/Ts2ZN169bRtWtXtX2pqals2rQJU1NTypUrR8OGDfHx8eH48eNIpVJKly7NggUL8PDw4Ntvv2XcuHFs2bKFMmXKUKdOHdzc3Pjhhx8AMDY2xsLCgsDAQOrXr/9JdQMwtDJFqiMjLkx98BIXHoWRrcUnl6MJPVND+txehUxPB0VKKl5/nKDa8LZEh0Wq5YsOi1TFW2rC3NaCqCzHRIVFYpZD/TpN7Y3vLW/e+CrjBBPjEgGo16UR/refkhifSOP+rdDV18PIzChH7egsbRMdFvVRbb807fQvrz1zttF2TCcW3VyHPFmOVCrljd8r/LV88fxT3fQyAF77Bal0FakK/G57I5VKtJaTWzZnLqN2x/qkJKcgT9L+SDw3bC6QFoJQ+4cGHFq8i/3zt1OhfhU6jO+u9qNSk/anXGOFShdl0oE56OrrkRiXwJpBCwn2D1INLDNf2zr6utgXL0hUaAQJMZqfuPxTXWUZlmnaUSrdDhO6ExoYgomlSY4259a13XL0j/x2a6Pq2g7ye4XPHW+NZVjYWhAVnsXm8Egs0uwAsCtij2uPZpzYcIRDv+3DsXIpes/shzwpmcsHPABo/XN7QPHRGOTcRCKVKf9RpKilR4VHYVNIex+mtFm9raPCozTafHzDEQ6rbO5PcprNifEJANTr4qrqw5qk9WGGZsZatXOj/wTYOWMTDbo30XqMIO8Rg+R8RqFQqL5I7t69S0xMDNbW6nGp8fHxamEOxYsXVw2QAQoUKEBoqPJxauXKlWnUqBEVK1akadOmNGnShB9++AFLS0s+lQIFCtCyZUs2bdpEjRo1+Ouvv0hISODHH3/Uekx8fDwGBprjw2rVqqX6X0dHh2rVquHt7a2y+cKFC5iYZP9iCQgIUA2Sq1XTHEealZs3b/LXX3+xd+9e2rdvn21/1razt7dHJpOpTZ60t7dXteeKFStYsWKFVj1DQ0Pi4rLH7AEkJiaSmJiolpacuaPP6t2XaEj7TIq7uiCRSEiVpyCVSan0UxONWhKJ5BO0NByjxVvQbVZ/HF2c0TPUZ/XjbQCs7DsPAJtiDqx4sJkUeQreVx/y/k04uvq6n6mdPS2d0dumUrZORZISklj1eBur0nS/69SQklWcWdVvPu9eh9Hj14GUqOJE2ToV8b768B/rdpvVD0eXUugZ6rMqzeZ07WLlS6p0nWuUo9O03gQ9CcxzmzOf0zqdvifsRQipqR97EPrPbN40ZjUAjy96cWbjXwC8ehJIg+5NsSygOcZeu3b2ayzk2RtmtRhH9dZ1aD3yR0a4TyYpIYkVfdLCotJslunIGLRqNEj46KTUz9E1NDOm9YgfVLqK1FTVtY1CgUxHxsBVo5BIJQTc9clxIKRZO3taOjld205VnVncdw5hr8PoN2cQjlWcqVCnEo+uPtCsqqEPyJwmlUp49jCA3Yt2APDi8XMKOxfBtWczLh/woESFkjT7qRUpMWEfse+fIdE3QWaSESqTEpUW7pG1u/yU/jKbzWixWTkJulCpIkhlMgYvHkHfXwex8KdfAbApZs/KB1vS+rAHf7MPy7n/LFy2GAt+mKqW3qhPi49o5A7/1Xji3EAMkvMZb29vSpQoASi9nAUKFMgWswuoTbbT1VW/OSUSieqLUCaTcebMGa5du8bp06dZtWoVU6ZM4ebNmyqdT6F///707NmTZcuW4e7uTufOnTEy0u79s7Gx4eFDbQOP7KT/MEhNTaV169YsWLAgW54CBQqo/jc21v6rPTOOjo5YW1urwij09PTU9mtqu5za82O8f/8eW1vN3ox58+Yxc+ZMtbTmphVppVeVVHkKRnYWavuMrM2Jy+L5+Fyen77LW09/1edaEzvj1LIGZnaWap4NUxtzonPQigqLVHnL0jGzMc/mBQPoOqMvVVyrsajLDORJGY9gdfSU3cvG0SsJfxmKTFeHmPfRLL/v/lHtrAMN0xy0HZwKs6TrLN6HKEN4dNN0mw9pz5qBi3h44R4AMRHRhL8KpcnANhoHyZ+rW9m1Gou7zCQ5k82GJoYAnHM/zoNzdwF4/fQlTQe2wTwt/CIvbTazU3qwSlUvQwHHQjy9/ojoLB7E3LY5fQZ+ZKi6jjxZjq6B+v2XVftTrrGUZDmhL0I4636M20ev8tOSYbx/E0bM++g0my2JifjAoN/GYFPEjsD7/nx4r93T+bm6AH+MWsGoLVN5/yaMw0t2q65tywLWdP91ADZF7FjSdSZ9Fg3J1fbO6dpeOnA+XueV11j0+w+EvnpLy4FtNQ6SI8PUvcYAZtbmat7liNAIXmdZLeKNfxA1miudHKVrlMPMxhyJJKP+EokEqbE1UkNz5BE5rzTxqSiSYpFHJGQkpD+NSPcoa6l/ViLDIlVPdrQdExEaobZCxt0ztziwcg9NejVnRsdJ6Oopvxs2jl5F+Mu3qj5sxf3Nud5/Luz0CxEhGWGVuvp6dBjXNVv+vOC/unxbbiBikvOR8+fP8/DhQ1UogouLCyEhIejo6ODk5KS22dhonoSiCYlEQp06dZg5cyaenp7o6elx8OBBjXn19PRISUnJlt6iRQuMjY1Zu3YtJ06coG/fvjlqVq1aladPn2q82dLjewHkcjl3796lTJkyKpsfP35M8eLFs9n8qQPjzNjY2HD+/HkCAgLo3Lkzycl5FzcXEBBAQkICVatW1bh/0qRJREVFqW2NzcqTmpxC6MPnFKlbQS1/kboVCLnj94/qlBybQFTgW9WW9CGOlCQ55b+rpMoj09WhdM1y+N/VvNwcwDNPX8plOgagXN3K+N9TP6bbzH64NKvJ4m4zeOP3itAXIartjV8QkaERlPuuEvEf4oh5H00Bp0IYmRnzWEvsZE7aAVm0u87sR9VmNVnSdQY+Nx8T9iKEsDTdqLBIdHR1UChSVTY71yxHVFiE1hCAz9btNpM3fq9UumFpdgMUKZcRlyrT1cHczoL4D5pjZHPL5vS2BviucyMCHwZQtHwJAv7Gef4cm4O8A5Eny3GsmhGjKdPVwbqwLe+CNE8YzEk76zWWTmJsAqEvQpAnJitjzNNsrlCvCoN+G4N98QIs7z0Hx29K58q1nVU7XTf92o4KjaDPoiHYFXdgaffZJMQm4FyzXO62d07XdmqaB11Xh7I1yxMVGqE17t3vng8Vs0yirFivCn6Z6up79ykFShZSy+NQoiDhr5We4ysHLjKx6WjkkUGqTZEiJzU+Cnl0lsl9/wSFAlLlGVtKMopUOVI9Q1UWpc0V8L2rPWZXaXMVtbRK9argl+kY37tPKZjJ5oTYBEzMTQh9+Za3L0II8ntFROh7ymvowx79jT4sp/4zPMu9ItOVoaP3MW+1IK8Rg+QvRGJiIiEhIbx+/Zp79+4xd+5c2rZtS6tWrejVSzlL1tXVlVq1atGuXTtOnTpFYGAg165dY+rUqdy5c+eTdG7evMncuXO5c+cOL1++5MCBA4SFhVG2bFmN+YsXL87NmzcJDAwkPDxczSPdp08fJk2ahJOTk1rIhCYaNmxIbGwsjx8/zrbvt99+4+DBgzx9+pShQ4cSERGhGnQPHTqU9+/f07VrV27dusWzZ884ffo0ffv21Th4/xTs7Ow4f/48T58+pWvXrnm2xN7ly5cpWbKk1smM+vr6mJmZqW26EqU3xOuPE5Tr0oCyneth6VSQ76Z3x6SQNY+2nwOg1oROuC4bpFaeTbmi2JQriq6xPobWptiUK4plqYw48G+GtqZI3QqYFbXFwrEAVQY0p3TH73h+5h4thnagatMaFHQuQt/FQ0mKT+Tm4cuqY/suGU6H8d1Un89uOk65upVpNrgdDo4FaTa4HWXrVOTspmOqPN1n9+fb9vX4Y+QKEmITMLO1wMzWAl39DO+h99WHtBrxA/W6NaZh72ZMPjKf5MRkDi3ZlUl7GO0zaZ/bdCxNu22adtts2t1m9+fb9nXZoEX77Ma/SJGn0GPOQGr/0IDBa8aAAopXcsLz9K08002IiSfs5Vtq/9CQlsM7UL5uZcbtnolMV4dLO8/lqc3nNh2jxdAO1Gj7HdVa1kKRqkg7z1fyVBfg9tGrFK1Qgu6z+1OxQVUm7f8VmY6Mg4t3/qNrrP24bpSqXhbrwrYUKl2U9m5dKf1tOW4eUl6759yP03ZMZ0pVL8vhZbvpPqs/yYnJeF99gExXJ890pTIpMVExFChVmCt7zlPQuTADV40iOTGZO8cznAJ5eW33mzuYej82ZNTacYCCkpWduHNKqf3z0hF0Ht9DVeZJ97+oWLcKrQe3p6BjIVoPbk+FOpU4semoKs+JDUdxqupM26EdsS/mQO22dfm+WxPObD0BQEzkB4J8Xyon7KVvKFQD2ZyIi4vnqW8AT32VYYOv37zlqW8AwSHaf0RlJjU+CqmhBdWa1qSwc1F+XjKCpIRErh6+pMrz89KRdMlk8wn3o1TKZnNljmey+fiGI2k2/5Bmcz2+79aE01uPq/I8vvqAViN+oH63xnzfuzlTjixI68P+2bX9sf4zISYenxvZv0/zArG6hXZEuMUX4uTJkxQoUAAdHR0sLS2pXLkyK1eupHfv3qp4WIlEwvHjx5kyZQp9+/ZVvcCiXr162Nvbf5KOmZkZly5dYvny5URHR1OsWDGWLFlC8+bNNeZ3c3Ojd+/elCtXjvj4eJ4/f07x4sUB6NevH3Pnzv2oFxnA2tqaDh06sGPHDubNm6e2b/78+SxYsABPT08cHR05fPiwyjNesGBBrl69yoQJE2jatCmJiYkUK1aMZs2a/aOXrDg4OHD+/HkaNGhA9+7d+fPPP/92WdrYuXMnAwYM+FvH+h+9iYGlKdVHtsfYzoJ3PkH81XsRH14rH6sa2VtgWkj96UGXUxmTG+0qlaR0+zpEvwpja+3RAOgY6VN/Th9MClghT0giwv8NZ0auxf/oTYqObUP32QMwNjfmmZcfS3vOJjE245GmdSEbldcVIOCeD+uHL6OdW1fajelM2Mu3rB+2jOdeGZ7uhj2VS12N3z1LrZ6b3FZzbZ8HAIH3/aniWo0ec5Tt9P5NOL8NWKimbVXIRu0JRMA9X9YPX047ty60HdOFsJchadoZYSQNezYFYNxu9XAWd7ffuLbPg5O/H8bEyoyGPZvSZ9EQ5ctEXodxYfNJ1ctE8kIXYH7HqYzcPJk2ozqrXiZyat0RzmX6gswrm3UN9Og+uz+6BnqkJMtZ1vPXPG9rUMYlG5gYUa9rYxr0aEpiXAI7Z2ziyZWMR/9/5xozszGn37LhmNtaEv8hjqCnL1jee46q3FtHr9BxQndMrcwY8vs41XHzLv7Goi7T8bnxOE90LQtYU6hUESD7WraFyxRVvVAkL6/tBj2bMmjRcBQKBeFBoZzeckL1MhHrgrakpmbo+t31YdXwJXQa240fx3bl7cu3rBq2hIBMNj974M+ygQvoPKEH7Ud0IiwolG0zN3H10CX+KY+e+tF3+ATV54Wr1gPQtrkrc6aO/ejxqfFRIJHS99dBGJuZEODly9weM0jIdG3bFLRVedfTbV45fDGdxnan09huvH0Zwsphi7PZvHTgfLpM6EmHEZ0IC3rLtpkb1Wz29/LjG9ca9JijnDj//k04qwcs+CL957rhy1h6e8NH2+ef8l9dmSI3kChEMIpAC1evXqVBgwYEBQV90iD94cOHuLq64u/vj6mpKYGBgZQoUQJPT0+qVKmS9xX+gjx69IhGjRrh6+uLubn2ReWzsrpIj49nygO8ZAkfz5RHSNC+woHgv8PX+EWbn9d2rOLLvYQqM1vuLskXXYBe34zJF11jSf75EzcE7stzjSZFtK/t/TmcfnUyV8r5NyHCLQTZSExMxN/fn2nTptGpU6dP9mJXrFiRhQsXEhgYmLcV/Bfw5s0btm7d+lkDZIFAIBAI/m2IN+5pR4RbCLKxc+dO+vXrp3qz3+fQu3fvPKrVv4smTcTalQKBQCD4/0cEFGhHDJIF2ejTpw99+vT5x+UUL15c3HwCgUAgEAj+LxGDZIFAIBAIBIKvlP9qqERuIAbJAoFAIBAIBF8pX+Ok209FDJIFAoFAIBAIvlJSRVikVsTqFgKBQCAQCAQCQRaEJ1kgEAgEAoHgK0X4kbUjBskCgUAgEAgEXyli4p52xCBZIPiCrE8OyBfdWrLC+aILkPrxLHlGfk1IyU+bkxX5oy7PR6vlX+GXvI1EP1908+utdwBb7y7NF91h1SZ8PJPgP4kYJAsEAoFAIBB8pQhPsnbEIFkgEAgEAoHgK0W89Es7YnULgUAgEAgEAsG/koiICHr27Im5uTnm5ub07NmTyMhIrfmTk5OZMGECFStWxNjYmIIFC9KrVy/evHnz2dpikCwQCAQCgUDwlZKKIle2vKJbt254eXlx8uRJTp48iZeXFz179tSaPy4ujnv37jFt2jTu3bvHgQMH8PX1pU2bNp+tLcItBAKBQCAQCL5S/s1v3PP29ubkyZPcuHGDmjVrAvDHH39Qq1YtfHx8KF26dLZjzM3NOXPmjFraqlWrqFGjBi9fvqRo0aKfrC88yQKBQCAQCARfKQqFIle2vOD69euYm5urBsgA3377Lebm5ly7du2Ty4mKikIikWBhYfFZ+mKQLPjXERgYiEQiwcvLK7+rIhAIBAKB4BNITEwkOjpabUtMTPxHZYaEhGBnZ5ct3c7OjpCQkE8qIyEhgYkTJ9KtWzfMzMw+S1+EW3yFhISEMG/ePI4dO0ZQUBDm5uaUKlWKHj160KtXL4yMjL5YXfr06UNkZCSHDh36x2UVL16cFy9eAGBgYECxYsXo168fbm5uSCSSzypn1KhRjBo16h/X6WP87NaPjj3aYmZuxkPPx8ydtJgAn+da83fs3obWPzbHqUxJAJ488GHlvN955PlElaff8F40almfEk7FSExIxOv2QyShcVRtVhMjcxOee/mxc9oGgv2Ccqxb1WY1aTO2C7ZF7Ql7+ZbDi3fideqWan+zIe2o2rQmDo6FSEpI4tk9Hw7M38HbZ8rJEVIdGe3culDrh4aYWpmBBKLDo1g/fBm+N55okwXApVlN2mbSPrR4J56ZtJsPaYdLJu2Aez7sz6QN0HrUjzTo0RQTS1MUCgXypGSCfF6ybuhS3r8J16rbbmwXbIs6EPYyhINZdBv0aEKD7k2xLmwLwBu/VxxduY9HHp4ZZTStyQ+Te2JTxA6pVMrzBwFsHLuKNx9p72+a1aR9Ju0Di3dyL4t2w+5NsUnTfp2m/TCTdodx3Wj8Uwv0DPVRKBSEBYVyYt1hzm0/pVW3WvNv+WFsV+yKOhD6MoS9i/7k7qmbqv3tR3Wmw+jOasdEhkYwvHo/AGQ6Mn5w60bdHxtiZmUOEogKj2TVsMU8ufE4R5trNK/Fj2O7YV/UgbcvQ9i9aDt3MmkDWNpb0W1SLyo3cEHPQJ/gZ29YP341zx8p1xzf+eKQxrK3zd3MkXUHNe6r2bwWXcZ2V+nuXLSdW6duqPb/dmU9dkXssx13cutxNk5bB4CBkQHdJ/aiepOamFqaEhoUytsXIZSo4IiJuTF+nr5smLaOIL9XObbBx+oilUnpNLorddvVx8LWgojQCMKCwijsWAgjcxMCvfzYNW3jJ93Prcd2xqaoPeFp9/P9U7dV+51qlKXxwDYUrVgCC3srfh+4iPunb6uV0XLUj9Tr1RRTC1OQQGx0LJum/M71o1dy1M6N82xuY47MxBaJriFIpSiSE0iJCYdUuVbdO14Pcf9zH0+e+hP27j0r5k2jUb3aOdZVE61G/Ujdrq5ftP8EqNq0xmfX9e+QW/HE8+bNY+bMmWpp06dPZ8aMGdnyzpgxI1verNy+rbz+NH1/KxSKT/peT05OpkuXLqSmprJmzZqP5s+K8CR/ZTx79oyqVaty+vRp5s6di6enJ2fPnmX06NEcPXqUs2fPaj02OTn5C9b07zFr1iyCg4Px9vbGzc2NyZMns379+vyulkZ+GtaDnoO6Mm/yEro170t46DvW7V6BkbH2HynVartw4tAZ+nUcRo9WAwl+/Zbfdy3HzsE2I0+tquxy30+PlgMY2GkkxZ2KUb9nU/bN2cq8NhOJDotk1PZp6BsbaNUp6eLMgNWjuXnwIrNbuHHz4EUGrh5N8SpOqjzONcvjse0U89tPZkXP2UhlMkZunYqeofIlB3qG+lRpWhMDYwN2ztzEhlErkelIGb3t49oDV4/mxsGLzGrhxo007RJZtC9sO8W89pNZ1nM2MpmM0Zm0mw1uS5MBrdE10OPavgt4X31IYlwCp9YfITkxSavuoNVjuH7wEjNbjOX6wUsMWj2GElVKqfJEBL9j/4Lt/NpmAr+2mcDTa48Ytn48BUtlvKylWqvaWDpY47H9NAAxEdG4bf8FgxxsdnRxZvDqMVw7eInpLcZy7eAlBq8eQ8ks2vsWbGdWmwnMStMenkm7+eB2NBvYhviYeP4Ytxqv83cxtTCl58z+uDSurlHXycWZYavHcvXARaY0H8PVAxcZ9ttYHDPpAgT5vGRYtb6qbXLT0ap9eob6VGtWEwNjQzbP+IPVI5cik8mYtH1mjjaXcinNiNVuXDngwcTmo7hywIORv41T0zY2M2bm/vnIk1NY0Hs2bq7D2T7HndjoWABaD25PfEw8a8atZHrnydw6fYPYqBhSU1O5cVzzo1hnl9KMXj2Oiwcu4NZ8JBcPXGD0b+NwquKsyjOpjRsDqvVWbbO6/QLA9WNXVXl6/9KPKvVdWDlqGaMaDSPI7xUu31fj4v7zTGztRmRYJNN2zMLA2FBrG3xKXdr93JHG3Zux8Zd1jGo0DJ+7TylfqwKPPbxY0GYS0WGRjNg+Ncd7qoRLKfqtHsXNg5eY02IcNw9eYkCW+1nfSJ/X3oHs/mWT1nLsSxZA30CPTVPXsWTAPGIjYxi2cgw2hbN7+tLJjfMMMOaPSSDTIeXDW+SRr1GkyNExLwBoHyjFxydQ2qkkk8cM0ZrnY0gNzXHt14pdv2z8ov0ngJ6Rdo3cJLfCLSZNmkRUVJTaNmnSJI2aw4YNw9vbO8etQoUKODg48Pbt22zHh4WFYW+f/YdsZpKTk+nUqRPPnz/nzJkzn+1FBjFI/uoYMmQIOjo63Llzh06dOlG2bFkqVqxIx44dOXbsGK1bt1bllUgk/P7777Rt2xZjY2N+/fVXANauXYujoyN6enqULl2abdu2qY4ZO3asWhnLly9HIpFw7NgxVVrp0qVZt24dM2bMYMuWLRw+fBiJRIJEIsHDw0OV79mzZzRs2BAjIyMqV67M9evXP2qfqakpDg4OFC9enP79+1OpUiVOnz6t2h8QEEDbtm2xt7fHxMSE6tWrq/0waNCgAS9evGD06NGqOqVz7do16tWrh6GhIUWKFGHEiBHExsbyd+kxoDN/rNjMueMX8X/6jKkjZmNgaECLDk20HjNp6Ax2bz6Az2M/Av1fMHPsPKRSKTXrVlPl+bnbaI7sPk6Az3N8n/hjbmGGVColMuQ9b3xfsXnsavQM9anR9jutOo36tsT7ygNOrjnE24A3nFxziKfXHtGob0tVnpW953B9nwfBfkEEeb9gy7g1WBe2pVhFpZc74UMcBsYGHF2xlwtbTnLr8BVW91uAjq4O3/dqplXbtW9Lnlx5wIk1hwgJeMOJNG3XTNores/h2j4P3qRpu2fRbtS3JWEv3uJ1+habJ6xl9YD56OjpYmJpyod30Rp1G6t0D6bpHuTptYdquvfP3eWhhydvnwfz9nkwBxfvJDEugZJVMwY1zjXLcWjZbk6sPwzAwSW70DPUp2bbulptTtc+nqZ9fM1BvK89pHEO2gcW7yQhLgHHNO3GfVsSG/mBs9tOcnnvBVb9vAiFAiLevqdEJSeNuk37tubRlfscXXOA4IDXHF1zgCdXH9K0byu1fCnyFKLCIlXbh/cZbRj/IQ4DY0P2L9/F6S3HuXb4Mov6zUFHV4cmvVtotbl539Y8vOLF4TX7eRPwmsNr9vP46gNa9M3oP1r/3IF3weGsG7eKgPt+hAeF8vjqA0JfKh+zNu/XmoOr9nBhzzme3HjMsqGL0DcyIPjZa0JfZf9iBWjZtw0PrnhxKE330Jr9PLr6gJaZdKPfRxMZFqnavmlUjZDAYJ7ceKTK4+xSGo/953ly4xFhQaGU/qYM70PekSJP4ZXvS1aPXY6+gR7fta2ntQ0+pS7OLqW5c+Ym987fJSwolIp1KvHK9yU6ujq88X3FlrG/oWeoT/Uc7ufv+7bk6ZUHnEq7n0+l3VPfZ7q+Hnt4cWTJbjVvZ1acvy3P/hW7ObvjJHfP3GJa23FIpVKa/9RK6zG5cZ4dShTE2aUMKTHhKOSJkJJMamw4SKRI9E20atetVZ0RA3vTuEEdrXk+htTQnBO/HcDz1K0v2n8C3Dx46W/XOz/Q19fHzMxMbdPX1/xmSBsbG8qUKZPjZmBgQK1atYiKiuLWrYzr8ubNm0RFRVG7tvanAukDZD8/P86ePYu1tfXfskkMkr8i3r17x+nTpxk6dCjGxsYa82R9fDF9+nTatm3Lw4cP6du3LwcPHmTkyJGMHTuWR48eMWjQIH766ScuXLgAKAeZly9fJjVV+YraixcvYmNjw8WLFwFlqIevry/169fHzc2NTp060axZM4KDgwkODla76KdMmYKbmxteXl44OzvTtWtX5HLtj9Yyo1Ao8PDwwNvbG11dXVV6TEwMLVq04OzZs3h6etK0aVNat27Ny5cvAThw4ACFCxdWeaSDg4MBePjwIU2bNqVDhw48ePCA3bt3c+XKFYYNG/ZJ9clKoaIFsbW34bpHxo2fnJTM3eueVKle8ZPLMTA0QEdHh6hIzQO/QkULYm1rBUBsZAwA8iQ5vjef4PhN9lnB6ZSs6syTy/fV0h5f8sLRRfsxhqZGajo2Rewwt7PkcaZy0sMACpUplmfaNkXssLCzxK64A2+fBzNq61QWXluHQqGgRivtnapm3fs4adGVSKVUb10HPUMDAu75qmy2yGJzijwFn5tPcMqhvR2rOvMoi/ajS/e12iyRSqnRug76adq2abq+t5/i4lodS3sr5ElyXvu9xMLOkocXPTWW4+TizKNLXmppDy95UuqbMmppDiUKsPLWBpZeWcvQVWOwzRSKYFvEXqlxOaMc/bTzXLRMca02l3IpzYMs2vezaH/TuAbPHvgzcs04fr+7mXnHl/J9l8YA2BWxx9LOSk3X2MwYqUxKlJYfQqAcdN7Pout1yZPSWWxOR0dXh7rtG3B+j/pTtqe3vanmWgMreytVXYzNTbif1tbyJDlPbj7WWu6n1uXpbW8q1K5EgRIFVTqWdlaqEB95khy/T7qfH6ilPbl0n5IuzlqOyE76/Zze3jJdHer9+D3yZDkW9pZaj/un5xlAVy+tD882OUyBVDcPva1SHSRSHbV+4Uv1n1+Sf/MScGXLlqVZs2YMGDCAGzducOPGDQYMGECrVq3UVrYoU6YMBw8qw6vkcjk//PADd+7cYceOHaSkpBASEkJISAhJSZqfJGpDxCR/Rfj7+6NQKLItmWJjY0NCQgIAQ4cOZcGCBap93bp1o2/fvmqf+/Tpw5AhysdXY8aM4caNGyxevJiGDRtSr149Pnz4gKenJy4uLly+fBk3NzcOHDgAwIULF7C3t6dMGWUHaWhoSGJiIg4ODtnq6+bmRsuWyl/eM2fOpHz58vj7+6uO1cSECROYOnUqSUlJJCcnY2BgwIgRI1T7K1euTOXKlVWff/31Vw4ePMiRI0cYNmwYVlZWyGQylUc6nUWLFtGtWzdVnHKpUqVYuXIl9evXZ+3atRgYfF5HbWOn/FX7Luy9Wvq7sPcUKJy9LbQxauoQQkPCuHHptsb96TrPPP1445sRG/khLAqrwjZayzWztSA6LEotLTosCjNbC63H/Di1N363vFU66XnTy9HR16XDhO6EBoZgYqnd+2P+N7Q7ZdJ2TPvi1zcyoPnP7Ti0ZBf752+n19xBlK5VAeea5fC9mT0m2tzWgqiwSLW0qLDIbLqFShdl0oE56OrrkRiXwJpBCwn2D0orwzKtvpHI9DK61+iwSFUcs3ab1bWjwyIx16A9JZP26kELeeMfpPry3T1nK21Hd2LlrQ3Ik+VIpVJe+73C985TjboWthZEhau3dVR4lJpugJcvv49ZScizN5jbWNB2+A/8cmAukxqPJCYyBgs7C1VbAejq69J1Yi/eBgZjYmGq1WZt2ha2GQMuuyL2uPZoxvENRzj82z4cK5ei98z+JCclE/IiWE0XoH7H70lJliNP0h4aptSNVEuLCo9U081M9SY1MTYzxmPvebV09xl/MGj+UNbdclf9eP9z/lae3vFWK9emkPZQhE+py6G1+zEyNWL5+d9Uzoczf57kzpGM0I/osCisP3I/f8hyfX3QcG3nRHreIqWLMX3vXPQM9YkMjcDz3B2MzbTfz//0PF8+4MGbgCDCXoVibWeljENWpCI1NEci1UEhlX2yDZ+LJK3srP3Rl+g/vyT/5iXgAHbs2MGIESNo0kT5lLVNmzasXr1aLY+Pjw9RUco2DwoK4siRIwBUqVJFLd+FCxdo0KDBJ2sLT/JXSFZv8a1bt/Dy8qJ8+fLZZqJWq1ZN7bO3tzd16qg/uqpTpw7e3sovBnNzc6pUqYKHhwcPHz5EKpUyaNAg7t+/z4cPH/Dw8KB+/fqfVM9KlSqp/i9QoAAAoaGhOR4zbtw4vLy8uHjxIg0bNmTKlClq3unY2FjGjx9PuXLlsLCwwMTEhKdPn6o8ydq4e/cumzdvxsTERLU1bdqU1NRUnj/XPNEu80zfuLg4FAoFNwLOcSPgHDq6ygFU1mVzJBIJn9pf/TS0O83bNWZ034kkpcXZtujQRKVxI+AcfYZ0B+DPqVnisiV8gk7WumVPS6frrH6UdClF0QolWPF4Gyseb0OWZiMKBTIdGQNXjUIilRBw1ye7Q+gfaI/eNpXKjVwoWqEEqzLrAl5nbnNm41+8ehLIK+8XfHgXTf3u2sNZsutmb6iQZ2+Y1WIcc9tPxvfmE0a4T+Y37x2sfrwNma4szeQsdZVIPmGJpE/TntFiHIeX70HPUJ9R7pNZ671DpVu30/c4VXVmad+5/NJqHP6evhR0Kkz5OpXQhqZrMHPaAw9P7py4QZDPSx5ffcCV/R6Y21iw8vZG/niyA5mOTFV7mY6M4avckEgl+Nx9qsHzl008i7Z6faRSCYGPn7F70XYKlSpCj6k/IZXJGLx4BDo6Otla7ftOroS8CCE1JfUjsp9+fr7v3BhPj7tEhGb8oP2uXX22PtlFvQ4NSEpIYt1E5YSgrhN6UrFOxo/wNIP+dl2+a1efHb57afdzR+TJctZNUOo06d6MbzvWz3SI5ONNnTVBw/WVmVI1yrLs8VbVln6N+dzxZmLz0UzvMJH7Fz2p8F0ldHQ/MlD9jPMc+Pg55/48zfmdZ3DtqQzLSpGnsGzwAiQyXXSti6NjXQKJriGpSXE5634mEn0TdKyLq7b0eOfs54hc7z8LlS3KhhHLP7vOXwNWVlZs375d9X26ffv2bEu5KRQK+vTpAygn32uLm/6cATIIT/JXhZOTExKJhKdP1b1KJUsqY6AMDbNPMNEUlpF1kJ11lmmDBg3w8PBAT0+P+vXrY2lpSfny5bl69SoeHh6fvGpE5jCJ9PLTPSnasLGxwcnJCScnJ/bv34+TkxPffvstrq6ugHIQferUKRYvXoyTkxOGhob88MMPH30Ek5qayqBBg9S80uloW5g880xfExMT7O3tsTZywMaoAHr6Stts7KwJD32nOsbKxpJ34e81lpeZ3j93o9+I3gzsNAI/7wBVusepKzy8p/SSDhrzE7Xra54dbWpjTnQWD1ZmojV4mUxtzLN5RwC6zOhLJddqLOkyU82Dp5PmSbUsYE33XwdgU8SOJV1n0mfRkBy1NXlvtWl3ndEXB6fCLOk6i/chynbUTdOVJ8vVVpQwtTEn+l0U1gU1e4CiwiJVnuB0zDTopiTLCX2hjJX8Y9QKRm2Zyvs3YRxesltls7mdJbFRMerlhGevv7rN6tqmNuZEadE+636MW0ev0m/JMN6/CSMmLUa45ZB2LB+4kPvn7wLw4X00Ya/e0mJgWx5fVX/cDhAZFolFlrY2szbLsa63jl+jfudGhL8OY//SXapH4VYO1vSdPQi7Inb82vUXBi0als1LmlU7q6fczNpc7ZiI0AjV6hB3z9zC39OX2m3r0aRXc1VctIWtBeGh7ylTvRyFnArz6PpDIj+im9VrbJ5FNx2bQrZU+q4SiwbNV0t/cMkTCbB+0m88vv4InbQ2eHD5Pm0GtuPh1fuqcv9JXe6cuUVMZAxn/zzF5YMeKp0rRy7RdEg7buxXhrGZ2pjxIYdz9jn3czqB9/25uC1jVZR0bSNTIwIfP+ftixD8PX2p1aoORqaaw/fSbfyc85zOa/8gajSvpfr8/FEA8sjXaaNNCShSkZkXVMYo5xKKpFjkEQkZCWnfO+Z26k968qL/XNxpOpEhH+/784LUPFrj+L+A8CR/RVhbW9O4cWNWr179tyeclS1blitX1Jf7uXbtGmXLllV9To9LPn/+vOpXW/369dm1a5cqHjkdPT09UlJS/lZdPoalpSXDhw/Hzc1N5Qm4fPkyffr0oX379lSsWBEHBwcCAwPVjtNUJxcXFx4/fqwagGfe9PT0NOpnnun7+vVr7t27R+zbZF4FBhHg85ywt+HUqp+x6oCOrg7f1KqK1+2HOdrVZ0h3Bo7+iSFdR/PkvvoPnrjYOF4FBtFjYGdq1q1On3Y/E/Y2nLLfZXgSZbo6ONcsR8BdH60azzx91Y4BKFe3MgH31I/pMrMfVZrVZFm3mQT7vSLsRYhqC/YLIio0gj6LhmBX3IGl3WeTEJvwSdrlPkG768x+VG1WkyVdZ+Bz87FK941fEJGhEUS+jcChZEGVzaVrliNVnsK712Gfpet/T3tdE2MTkCcmI09SDl7TtTOXI9ORUbpmOfxzsDnA05fyWbQraLA5nYTYBEJfhJCcmExykvLHQFRYJDq6uijSfkjKdHUoU7M8kaGRSKSaVwDwv+dLhbqV1dIq1KuC313N4Rmg/PFhU9iO4IDXhL4I4bXfKyJDIxi8eDgOJQowp/t04mPjKVuzAr45lON3z4eKdauopVXKou179ykFSxZS2fz2RQgm5iaEvnxLkN8rIkLfU/E7ZRmNOrsS8NCfEuVKKL3YWvC950OlLDZXrldF4zENf2xE1Lso7p2/o5aenJSMjp4u70LeE/IiRFUXS3tLVVvr6OpQrmb5f1SXhNh4dPV0iAqPVNOxL+KgchzIdGWU+qT7WX2uQ7m6lXiWFkuvieTEZMJevFVt6fdzensrtXXQM9Tn/Vvtg7vPPc/pFChRkHBN96pCAYpUZbywjj6K3PQmKxTKJeXSt5RkFKnyL9J/vgvK+SlpXqLIpb//ImKQ/JWxZs0a5HI51apVY/fu3Xh7e+Pj48P27dt5+vQpMlnOj83GjRvH5s2b+f333/Hz82Pp0qUcOHAANzc3VZ70uOSjR4+qBskNGjRg+/bt2NraUq5cOVXe4sWL8+DBA3x8fAgPD8/1ZeaGDh2Kj48P+/fvB5Te9AMHDuDl5cX9+/fp1q1bNu908eLFuXTpEq9fvyY8XLme7oQJE7h+/TpDhw7Fy8sLPz8/jhw5wvDhw7Vqa5rpK5Vk3HLb/9hNvxG9+b55fZzKlOTXFdNIiE/g+IGM1TjmrPqFEZN/Vn3+aWh3hk0YyPTRc3j9KhhrWyusba0wNMp4CjBlvhstOzZl4pDpxMbEceDPo7QY1pFvWtamoHMR+iweSlJ8IrcOZ/zY6bNkGO3Gd1N9PrfpGOXqVqbp4LbYOxak6eC2lK1TkXObMlYp6Tq7PzXb12XjyBUkxCZgZmuBma0FuvrKHw1SmZTYqBgKlCrMlT3nKehcmIGrRpGcmMyd4xnrwPZdMoz2GrSbDW6Lg2NBmqVpn82k3W12f75tX5cNWrTPbTqGqZUpNVrXofXIHxmyVnl9FipdlAtp3rG+S4bTIZPu2U3H03Tbpem2y6bbflw3SlUvi3VhWwqVLkp7t66U/rYcNw9dVuW59OcZWg//gbqdGinb6ZefkCfLeZLJk9t/yXA6ZtI+s+k45etWpnmadvM07TOZtDtk0e7g1pUy35bjRpr26Y1/kSJP4ae5g6n7Y0NGrHUDFJSs7Kha93jQ0hF0Gt9dVeZp97+oULcKLQe3p4BjIVoObk/5OpU4temvjPM8pTdlapbDtogdjlVKMWLtOAxNDLm830N1nmMiYyhUqggXdp+lsHMRRqweS3JSktoybD8vHUmX8T1Un0+4H6VS3Sq0Htyego6FaD24PRXqVOb4pqOqPMc3HMGpqjNth/6AfTEHaretx/fdmnB663FlGRuP0nboD3zXth61Wn2HIlVBYkISVw5nrAowbOkouo3vqfp8zP0oletWpe3gDhR0LETbwR2oWKcyxzLpgvLpVcMfG3Fx34Vs4RvxMfE8vv6QnpP7UO7bCtgVscP71hNKVXEm9NVbijgXZeiSEblSl7tnb9Nh2I+4fP8NtoXteHD5PlXqu/DGN4iCzkXonXY/3850P/deMpS247uqPl/YdJyydSvTJO1+bjK4LWXqVOR8putL30ifwuWKUbicclKtdRE7CpcrhmVB5bwGPUN9Qvxf035kJ77v2oSaLWuz+NwqJBIJB1fsztPzDFCzRW0kugbKwbGeETrmBVAkxaFIjkcbcXHxPPUN4Kmv8mnb6zdveeobQHDIpw9IU+OjaD60A1Wa1vii/SeAkbn2WG/Bl0GEW3xlODo64unpydy5c5k0aRJBQUHo6+tTrlw53NzcVBPytNGuXTtWrFjBokWLGDFiBCVKlMDd3V0tzsfc3JyqVavy8uVL1YC4bt26pKamZotHHjBgAB4eHlSrVo2YmBguXLhA8eLFc81eW1tbevbsyYwZM+jQoQPLli2jb9++1K5dGxsbGyZMmEB0tPpM+FmzZjFo0CAcHR1JTExEoVBQqVIlLl68yJQpU6hbty4KhQJHR0c6d+6sRfnjuK/ejoGBPlPmu2FmbspDzycM7jKKuNgMz4hDIXu1QXynPh3R09dj6cZ5amWtXbyBtYs3AtC5T0dl+QfVF07vMW8guvq6PPfyZ0XPX0mMzXisaFXIRi3u7tk9XzYMX05bty60GdOFsJch/DFsGYFe/qo8DXo2BcBtt/qC8JvdfuP6Pg8sC1hTsFQRZZ2m9VHLU7hMUdULRbJqB9zzZf3w5bRz60LbNO31w5bxPJN2wzTtcVm03d1+49o+D07+fhhdAz1c+7akzchOKFDw9vkb9s/fgX/aJDbrQjYoFKmZdH1YP3wZ7dy60m5MZ8Jevk3T9VPlMbMxp9+y4ZjbWhL/IY6gpy9Y3nsOT65kDIDDg0IxNDGkzYgfAChVTTnRtHb7+hxevkdlc2oW7d+HL6ODW1faj+lM6Mu3/D5sGc8yaZvbmDMgi/bSTNonfj+EqZUZDXs2ZcCiYSgUCsKDQjmz5YTqZSLWBW1UnmYAv7s+/DZ8KT+M7coPY7vw9uVbfhu2hIBMulYO1gxZNQZTS1Oi30cT4OnLjPYTVR55qwLWFHZWnudev/RTOx9FyxTHO23ZNJuCtihSM86z310fVg5fTKex3ek0thtvX4awcthiNe1nD/xZOnA+XSb0pMOIToQFvWXbzI1cPaQceB79/SB6Bvr0/3UwegZ6yJPk/NpjOgmxGQMnmyw2+959yvLhi+kytjtdxnYj5GUIy4Ytwt9L3ata8bvK2Ba2y7aqRTrLhy+m2/hejFwxBhMLE8KCwrh/yZNqjWtQv+P3+Hv55kpdNk7/gy5ju9F/9mDMbcx5//Y93refUNKlFBOPzuO5lz+res756P28cfhy2rh1ofWYzoS9DGHDsOVq93PRSo6M2TVD9fnHab0BuL7Pg61ua0hNTSUuOhYUCvrPU/5wj4n4wMphSwh4kFFOXpxnAAs7S2QmdiCVQaqc1MQYUuMiNJ6bdB499aPv8AmqzwtXKedmtG3uypypY3M8Np3U+CjObT9Ht9n9MTI3/mL9J0DlxupzgvIKEW6hHYkir164LRAIslHJodbHM+UBtQwKfzxTHpFzFHnekl+PAPPT5mRF/qjL89Fq+X/0UW9O2Eg0rz+b10QqPm8Jrdxk692l+aI7rNqEj2fKI9YF7s1zjTJ2ml829Lk8DdW8ytL/M8KTLBAIBAKBQPCVIjzJ2hExyQKBQCAQCAQCQRaEJ1kgEAgEAoHgK+W/ujJFbiAGyQKBQCAQCARfKSLcQjsi3EIgEAgEAoFAIMiC8CQLBAKBQCAQfKWIcAvtiEGyQCAQCAQCwVeKIp+Wjfx/QIRbCAQCgUAgEAgEWRCeZIFAIBAIBIKvlFQRbqEVMUgWCAQCgUAg+EoRL17WjngttUDwBTEwKJovuh+CPPJFV/AVkZqSf9r5FFOpSJHniy5ARPch+aI75bltvugCyJDki+7qOwvyRRdA16ZknmsUtaqYK+W8fP8wV8r5NyE8yQKBQCAQCARfKSLcQjtikCwQCAQCgUDwlSICCrQjBskCgUAgEAgEXynijXvaEUvACQQCgUAgEAgEWRCeZIFAIBAIBIKvFPHGPe2IQbJAIBAIBALBV4qISdbOvzbcok+fPrRr1y7HPA0aNGDUqFFfpD7/hM2bN2NhYfGvKUcgEAgEAoFAkDOfPEj+/fffMTU1RS7PWBcyJiYGXV1d6tatq5b38uXLSCQSfH19c6+mf4PNmzcjkUhUW4ECBejUqRPPnz/P13p9CsWLF2f58uVqaZ07d/4ibdqgQQNVm+nr6+Ps7MzcuXNJScnHdVA/EYlEwqFDh/K7Gp/M1KmjefbsNhERvpw+vZuyZZ1zzN+2bTOuXv2LkJCHvHv3lJs3T9CtW4ds+QoWtMfdfTmvX9/n/XsfdCwKgUzvs+p2x+shQ8dPp2Gb7lSo05xzl6591vF/l/zSzU/tvNDddeAvmv7QB5eGbejUdzh3vR7lmH/n/qO07jaQbxq2pVWX/hw+cVZtf7JcztpNO2j240+4NGxDh95DuHLjjmbtg8do2qkfLo3a06nfSO7e/4j2gb9o3WMw3zTqQKtugzh88lx2bfedNOvcH5dG7enQZxhXbt7VoHucpp364+LakU79R3P3/uOP6B6jdY8hfOP6A626/8zhk+ez627eRbMuA3Fx7UiHn0Zo1AXYdegEzboO5psmnek00I27D57krH3wBG16D6da0y607jWMI6cuqO3/adQ0KjbskG0bMvFXtXyGbdth8+cu7E6dxmrdenQrVspRNx3dChWwO3sOqz82qKUbNG2G/YWL2TZ0lf1Hm1GdWHxzPWue7mDcrpkULFX4o1ouzWoy68wy1vrsZNaZZVRtWkNtf/Mh7ZlyeD6rH21j6Z2NDF0/HvuSBdXytB/XjZVPtvH78z2sfbabXy+tol6PJjnqVm1Wk+lnlrHa50+mn1lGlSy6zYa0Y9Lheax4tJVFdzbw8/px2XSrNq2BzMwBHatiyjWLP7Efzc9+7HNJRZEr23+RTx4kN2zYkJiYGO7cyegUL1++jIODA7dv3yYuLk6V7uHhQcGCBXF2zvkLXxMpKSmkpubewvBmZmYEBwfz5s0b/vzzT7y8vGjTps3/xYAvK4aGhtjZ2X0RrQEDBhAcHIyPjw8jRoxg6tSpLF68+G+Vldvn9L/C2LE/M2JEf0aPnkadOq0ICQnj2LEdmJgYaz0mIiKSBQtWUb9+e6pXb8rWrXtZv34xrq71VHksLMy5cOEAycly2rbtRdWqjUiJfffZL1yIj0+gtFNJJo/5si8tyC/d/NTObd0TZy8yf8U6BvTqwl731bhUKs9gt2kEh4RqzL/r4F8s/92dIX27c2j77wzp34M5S9bgceWGKs+q9VvYe/gEk0f/zOHt6+jUrgUjJ83G29dfXfvcJeav/IMBPTuxd+NKXCqXZ/C4GQS/1aZ9nOXrtjDkp24c2raGIX27MWfp73hcvZmh/cc29h45weRRgzi8bS2d2rZg5OQ5ePsGZNK9zPxVGxjQqxN7NyzHpVI5Bo+fSfDbMM26h46zfP1WhvzUlUNbVzOkb1fmLFuHx9VbmXS3s/fISSaPHMjhrb/RqW0zRk6Zp6YLcPL8FRb85s6AHh3Z+8cSvqlUlp8n/KpVe/fhk6zYsJ0hvTtz0H05Q/p0Yc6KP/C4dluVZ/ms8VzYv1G1Hdy0HJlUSpMGtVV59Bs2xHToMGK3b+PdgAEkPXiAxYIFSD/yPSExNsZs4mSS7t3TuD81JoawDu3VNpKTMOrSlcb9WvHnLxv5tc1EosIiGbP9F/SNDbRqlXRxZtDqMVw/eImZLcZy/eAlBq0eQ4kqpVR5Stcsx4VtJ5nbfhJLe85CKpMxZus09Az1AWg2uB1NB7YhISaeLePW8Oj8PYwtTOkyoy+VG1fTqjtg9WhuHrzI7BZu3Dx4kYGrR1O8ipMqj3PN8nhsO8X89pNZ0XM2UpmMkVunqnQB9IwMUCQnkBL7Psc2zUp+9mOfi0KhyJXtv8gnD5JLly5NwYIF8fDwUKV5eHjQtm1bHB0duXbtmlp6w4YNAYiIiKBXr15YWlpiZGRE8+bN8fPzU+VNDyH466+/KFeuHPr6+rx48SKbfmxsLL169cLExIQCBQqwZMmST6q3RCLBwcGBAgUK0LBhQ6ZPn86jR4/w91d27GvXrsXR0RE9PT1Kly7Ntm3bsh2/du1amjdvjqGhISVKlGDv3r1qtkokEiIjI1VpXl5eSCQSAgMDNdYpICCAtm3bYm9vj4mJCdWrV+fs2QyvTYMGDXjx4gWjR49WeXQzt1VmPqX+GzZsoH379hgZGVGqVCmOHDny0XYzMjLCwcGB4sWLM2zYMBo1aqTy0CYlJTF+/HgKFSqEsbExNWvWVLsutJ3TxMRExo8fT5EiRdDX16dUqVJs3LhRddyTJ09o0aIFJiYm2Nvb07NnT8LDw9XaZcSIEYwfPx4rKyscHByYMWOGan/x4sUBaN++PRKJRPX5Y+0NEBwcTMuWLVXn+M8//8zmzY+KimLgwIHY2dlhZmbG999/z/379z/altoYNqwfCxas5vDhkzx54kv//mMwMjKgS5d2Wo+5dOkGR46cwsfHn2fPXvDbb5t4+NCbOnWqq/KMHfszQUHBDBzoxp0793nxIghFcgKkft7bwerWqs6Igb1p3KDO3zXxb5Ffuvmpndu6W3cfpEOrJvzQphmOxYsycdRgHOxs2XXwmMb8R0+e58e2LWjuWp8ihQrQwrUBHVo1YeOOvWp5BvTqTL3aNShSqABd2reiTs1v2LzzQBbtQ3Ro2ZgfWjfFsXgRJo4YiIOdDbsOHtesffo8P7ZpTvNG9ShS0IEWrvXp0KoxG3fsz8hz6gIDenaiXq3qFCnoQJf2LahTw4XNuw5m6O45TIeWrvzQqkma7gAcbG3YdUiL7ikPfmzTjOaN6ip1G9WjQ0tXNv6ZSfe0BwN6/Ei9WtWUuu1aUKdGVTbvPqRu896jdGjRiI4tG1OyWGEmDOuHg501u4+c0qx95iI/tm5Cs++/o0hBB5p//x0dWjRi084Me8zNTLGxslRt1+/ex8BAnyb1MwbJxj92Iv74ceKPHyPl5QtifltNamgYRm3aatRNx2zMWBLOnSX5sTZPu4LUiPdqG4DRDz9y7LcD3Dt1kze+r9g0dhV6hvrUbFtXSznQuG9Lnlx5wIk1BwkJeMOJNQd5eu0hrn1bqvIs7z2Ha/s8eOMXRJD3C9zH/YZ1YVuKVVS+bc61b0tiIz/gse0U1/d5sG6I8vs/8u17ilV01KjbqG9LvK884OSaQ7wNeMPJNYd4eu0RjTLpruw9h+v7PAhO090ybo2aLsDNg5dIjY9EkRyfY5tmJT/7MUHu8VkxyQ0aNODChYxHQhcuXKBBgwbUr19flZ6UlMT169dVg+Q+ffpw584djhw5wvXr11EoFLRo0YLk5GRVOXFxccybN48NGzbw+PFjjd7ScePGceHCBQ4ePMjp06fx8PDg7l3Nj71ywtDQEIDk5GQOHjzIyJEjGTt2LI8ePWLQoEH89NNPajYCTJs2jY4dO3L//n169OhB165d8fb2/mztdGJiYmjRogVnz57F09OTpk2b0rp1a16+fAnAgQMHKFy4MLNmzSI4OJjg4GCN5Xxq/WfOnEmnTp148OABLVq0oHv37rx//3m/ig0NDVXn7KeffuLq1avs2rWLBw8e8OOPP9KsWTO1Hz+azmmvXr3YtWsXK1euxNvbm99//x0TExNAOUitX78+VapU4c6dO5w8eZK3b9/SqVMntXps2bIFY2Njbt68ycKFC5k1axZnzpwB4PZtpRfG3d2d4OBg1eePtTdAr169ePPmDR4eHuzfv5/169cTGprh+VIoFLRs2ZKQkBCOHz/O3bt3cXFxoVGjRp/dlgAlShSlQAE7zp69pEpLSkri8uWbfPvtN59cTsOGdXB2duTKlQzvV6tWjbl79wE7dqzl5ct73LhxHIm+6WfXUfD/SXJyMk98/Khdw0UtvXYNF+4/0hwCkJycjL6e+mNkfX19Hj7xJTktxC4pORm9bHn08HzwWK2cJ77+1K5RVV27elXuP3qqWTspGX19XfVy9fR46P0J2g+fqOtW/wzd5GT09bLo6uvx0Nsvi272PJ4PvdXKeeIbQO1qldW1q1XBS4t2UpKmcvV5+NRfpZ2VA8fP0azhdxgZpnltdXTQcXYm6c5ttXxJd26jW6GCxjIADJo1R1awELFbtmjNIzE0xGbnbmz27MVi7jx0nEohK1AAmbU1jy9nOAbkSXJ8bj7B6ZvSWssqWdWZJ5fVnQmPL93HyUX7MUamRgDERsZgU8QOCztL/G4/pbJrNSzsrZAnyXnj+woLO0seX9LsqNCs64VjDrqGmXS/JlIVilzZ/ot89iD56tWryOVyPnz4gKenJ/Xq1aN+/foqT+KNGzeIj4+nYcOG+Pn5ceTIETZs2EDdunWpXLkyO3bs4PXr12pxo8nJyaxZs4batWtTunRpjI3VHzfHxMSwceNGFi9eTOPGjalYsSJbtmz57JCJoKAgFi1aROHChXF2dmbx4sX06dOHIUOG4OzszJgxY+jQoUO2sIIff/yR/v374+zszOzZs6lWrRqrVq36LO3MVK5cmUGDBlGxYkVKlSrFr7/+SsmSJVUeXisrK2QyGaampjg4OODg4KCxnE+tf58+fejatStOTk7MnTuX2NhYbt26pbHMrKSmpnLy5ElOnTpFo0aNCAgIYOfOnezdu5e6devi6OiIm5sb3333He7u7qrjsp7T169fs2fPHjZt2kT79u0pWbIkjRo1onPnzoDSI+7i4sLcuXMpU6YMVatWZdOmTVy4cEEtDrtSpUpMnz6dUqVK0atXL6pVq8a5c8r4RVtbWwAsLCxwcHBQff5Yez99+pSzZ8/yxx9/ULNmTVxcXNiwYQPx8RmegwsXLvDw4UP27t1LtWrVKFWqFIsXL8bCwoJ9+/Z9Ultmxt5eWbfQ0HC19NDQcNU+bZiZmRIe7s2HDwEcPOjOmDG/cO7cZdX+EiWKMHBgDwICntO6dU82bNiBzMQaib7JZ9dT8P9HRGQ0KSmpWFtZqqVbW1oQ/i5C4zG1a3zD/r9O8vipHwqFgkfevhw8dhq5XE5kZDQAdWp+w9ZdB3jx6jWpqalcu3WPC5dvEPYu40diRFSatmVWbUvC32vTdmH/0dM89vFXaj/14+Dxs+raNVzYuvtQhvZtTy5cuanSztC1UNe1Mif8faQW3ars/+vMR3SrsnXPYV68eqNRV6n9gZRUDdqW5ryL0Kxdp3oVDhw7y2OfABQKBY99/Dl44pxSOyo6W/6H3n74P39Jx5auqjSpuTkSmY7Ky5tOSkQEUksrjbqyQoUwGTCQqDmzIVXz92fKy5dEz59P5NTJRM2ejSIpCatVq9EprRxcRoep2xQdFomZrUX2gtIwt7UgKssxUR85ptPU3vje8uaN7yvMbZXX0p45Wwn2D2LBzXWs8dtJyarOBAe8JuCO5h8iZrYWRIdFZalrVI66P07tjV+a7teECLfQzmctAdewYUNiY2O5ffs2ERERODs7Y2dnR/369enZsyexsbF4eHhQtGhR1SBER0eHmjVrqsqwtramdOnSap5YPT09KlXSPtkgICCApKQkatWqpUqzsrKidGntvwjTiYqKwsTEBIVCQVxcHC4uLhw4cAA9PT28vb0ZOHCgWv46deqwYsUKtbTMuumfvby8PqqtjdjYWGbOnMlff/3FmzdvkMvlxMfHq3k2P4VPrX/mtjU2NsbU1FTNS6qJNWvWsGHDBpKSkgDo2bMn06dP59ixYygUimzx5omJiVhbW6s+Zz2nXl5eyGQy6tevr1Hv7t27XLhwQeVZzkxAQIBKL+t1UqBAgY/a8rH29vHxQUdHBxeXDM+bk5MTlpm+6O/evUtMTIyajQDx8fEEBKjHJ6aTmJhIYmIiADo6OhgaGhIerrzu27fvA2RfekcikXy0s/nwIYYaNZphYmJMw4Z1WLBgGs+fv+TSJWX8qFQq5e7dB/zyy0IA7t9/zIpFE5EamJGS+HV5SL5m0sO00lGgyJaWzuCfuhL+/j3dB45GgQJrS0vatXBl0459SGVKX8rEkYOYsWAlrbsNRCKBIgUL0K5lYw4dO6NBW/1zjtp9uhD+PoLug8amaVvQrnkjNv25P0N7xEBmLFxF6x4/Z2i3cOXQcfWwqWw2K7LXRaXbu7NSd/C4DN1mjdi080Am3QHMWLia1j2HZOg2d+VQlkmNmoxW3sWaxQf1+pHw95H0GDoRhUKBtZUFbZs2xH3XIaTS7L6rA8fP4lSiKBXLlspeWJbuQqIpEUAqxXzqL8RudiclKEhjvQCSvZ+Q7P0EA1dXTMeMVZaop4dBw+/T9LL3WVnTPlZJ5XnSfMzobdMoV6ciSQlJrH68jZV95wHwXafvKVHFmd/6zefd6zC6/TqQElWcKFOnIk+vPvxE3exp6XSd1Y9CZYuy6IdpH7FF8DXxWYNkJycnChcuzIULF4iIiFANeBwcHChRogRXr17lwoULfP+98mbS9mWvUKh3mIaGhlo70JzK+RRMTU25d+8eUqkUe3v7bF7q7J2q9s5c03HpHVrmOmYOJdHEuHHjOHXqFIsXL8bJyQlDQ0N++OEH1YD0c/iU+uvqqj/Wk0gkH51I1717d6ZMmYK+vj4FCxZEJpMBSs+yTCbj7t27qrR0Mg9ws57T9DAXbaSmptK6dWsWLFiQbV+BAgX+kS0fa++crtPM9StQoIBa7HU62pblmzdvHjNnzgRQxVnLZKbIZCbo6ysnhtjb2xKSaTKVra11Nu+ypno9e6aM23/w4AllyjgxbtxQ1SA5JCSUp0/91A9KSUKip31CoOC/g6WFGTKZlPB36h7G9xFRWFtZaDzGQF+fXyePYfr4Ebx7H4GttRV7j5zA2MgQS3MzAKwsLVg5/xcSE5OIjI7GzsaaZWs3UaiAfYa2eZp2Fq/x+4jIbJ5WNe1Jo5g+bhjv3kdia23J3iOnsmibs3LeVHXt3zertLXrRuWsO3Ek092GZugezaJrYc7KuVPSdD9gZ2PFst+3ZLHZFJlUyjuN2uZatWdPGMYvYwfzLiISWytL9v11Rk07nfiERE5euMrQPl3U0lOjolCkyJFaqXuNpZaWpEZk99pLDI3QLVMGnVJOmI4cmZYoRSKVYnf2HBHj3Ej29FTlT7x6leQnyh/1xv36I7OxAcDMzlLNM2xqY050uLrHNjNRYZEqb3A6Zjbm2by8AF1n9KWAU2EWd51JRMg7AHT0lMOUFkPasXbgYh5dUE42jImIJvxVKE0GttE4SNbk4TbVottlRl8quVZjcafpRIZ8fvjc/zv/1ZUpcoPPXie5YcOGeHh44OHhQYMGDVTp9evX59SpU9y4cUMVj1yuXDnkcjk3b2bMUn737h2+vr6ULVv2kzWdnJzQ1dXlxo2MmdYRERGftByaVCrFycmJkiVLZhsgly1blitXrqilXbt2LVvdMuumfy5TpgyQ8Yg/c9zwx7zMly9fpk+fPrRv356KFSvi4OCQbZKfnp7eR8NJPrX+fwdzc3OcnJwoUqSI2mC4atWqpKSkEBoaipOTk9qmLSwEoGLFiqSmpnLx4kWN+11cXHj8+DHFixfPVm7W85YTurq62drtY+1dpkwZ5HI5npm+IPz9/dUmY7q4uBASEoKOjk62+tmkfXlkZdKkSURFRREVFcXr16+5d+8egYHhPHv2Am9vX4KDQ2nUKGPCi3I5xZrcuPF5sfbKpfoy4jWvX7+Ds3OWySwyPRSfOXFP8P+Jrq4u5UqX4vptT7X067fvUblCuZyP1dHBwc4WmUzGybMXqV+nZjbPpr6+Hva2NshTUjjjcZWGdTOetOnq6lLO2Ynrt72yaHtRuUKZT9C2UWqfu0T92jVy1r54jYbf1VTXvZNF987n6l6mfu3qWnStlbqXMnQztB25fkc9/vX63ftU+RRtW6X2ifNXqPdttWzapzyukpSUTKvGWZ7CyeXIfX3Rq6a+uoPeN9VIfpR9yT1FXCzhP/XhXf/+qi3+6BHkL1/wrn9/krPMs1HEx5Py5jUpb16jU7AgKa+DSHn3jvLfZTzNk+nqULpmOfzv+mi18ZmnL+W+U38CWK5uZfzvqR/TbWY/XJrVZHHX6fjcfEzoixBCX4Twxi+IqLBIdHR1UaSt0CPT1cG5ZjmiwyK0OrWeefpSVoNuQBbdLjP7UaVZTZZ1m8m7oJyfSv5XEeEW2vnsN+41bNiQoUOHkpycrPbovH79+vz8888kJCSoBsmlSpWibdu2DBgwgHXr1mFqasrEiRMpVKgQbdvmPPs2MyYmJvTr149x48ZhbW2Nvb09U6ZM0fhY6nMYN24cnTp1Uk3AOnr0KAcOHMi28kF6HOp3333Hjh07uHXrlmpVhvSB5IwZM/j111/x8/P76MobTk5OHDhwgNatWyORSJg2bVo2b2jx4sW5dOkSXbp0QV9fX+NA7FPrn5s4OzvTvXt3evXqxZIlS6hatSrh4eGcP3+eihUr0qJFC43HFS9enN69e9O3b19WrlxJ5cqVefHiBaGhoXTq1ImhQ4fyxx9/0LVrV8aNG4eNjQ3+/v7s2rWLP/74I5vXWhvFixfn3Llz1KlTB319fSwtLT/a3mXKlMHV1ZWBAweydu1adHV1GTt2rJo33NXVlVq1atGuXTsWLFhA6dKlefPmDcePH6ddu3ZUq5Z9GSJ9fX2VxzidzB366tUbGT9+KP7+z/H3f86ECcOIi0tg165DqjwbNy7jzZsQpk1TetjHjRvKvXsPePbsBbq6ujRr1pDu3TsyYsQU1TErV27Aw+Mg48cPZd++v6hevQpSA1NSYnL2UGclLi6el0FvVJ9fv3nLU98AzM1MKeCQd0sR5pdufmrntm6vzu2ZNHsx5cuUonKFsuw7fILgt2F0bq+8P5etdSc0/B3zprkBEPgyiIfevlQqV5roDzFs2XUAv2cvmDPVTVXmg8dPeRv2jjKlShIa9o41m7ajUCjo2/2HLNrtmPTrUsqXcaJy+bLsO3KS4NAwOrdL0/59s1J76tg07ddp2s5K7d2H8Hv+gjlTRmfS9uFteLp2OGs2/YkiNZW+3Tpm6HZqy6Q5yyhf2onK5cuw7+gppW7b5krddVsIDX/PvLRyA1+l6ZZNs3nPYfyev2TO5FEZuk981G1234kiVUHfruprk/f6sTWT5q1M0y7N3r9OE/w2nE6tlev4Lv9jO6Fh75g7eWSa9hsePvWjUtlSRH+IZeveI/gHvmTOpBHZzuXB4+f4/rsaWJhnn3wbu3cP5pOmkOzjQ/Ljxxi2aoXU3o64o8r5Fib9ByC1tSV63lxQKEgJVH9HQGpEBIqkJLV04169SfZ+QkpQEBIjY4w6dkTHyYnoFcuQv3xJi6E9eRsYzNvnwbQc2oGk+ERuHs6YE9F3yXAi377jwMI/ATi76Tjj98yi2eB2eJ25RZXGNShbpyILfswIa+g+uz8129Zl9YAFJMQmqDzA8dFxJCcmcWbjX7R360r3OQM5umyPcp1lBRSr5MTeX5UTEPssGUbk2/ccStM9t+kYbntm0XRwW7zO3KZK4+qUrVORhZl0u87uT42237FmwEKNugBG5iYg00MiVX4HSWS6Sr9ragootDuy8rMf+1z+q5PucoO/NUiOj4+nTJky2NtnPHKqX78+Hz58wNHRkSJFiqjS3d3dGTlyJK1atSIpKYl69epx/PjxbI/NP8aiRYuIiYmhTZs2mJqaMnbsWKKitD/i+RTatWvHihUrWLRoESNGjKBEiRK4u7urechBuTrErl27GDJkCA4ODuzYsYNy5ZQeGV1dXXbu3MnPP/9M5cqVqV69Or/++is//vijVt1ly5bRt29fateujY2NDRMmTCA6Wn2yxqxZsxg0aBCOjo4kJiZq/JX2qfXPbdzd3fn1118ZO3Ysr1+/xtramlq1amkdIKezdu1aJk+ezJAhQ3j37h1FixZl8uTJABQsWJCrV68yYcIEmjZtSmJiIsWKFaNZs2af9WNoyZIljBkzhj/++INChQoRGBj4Se29detW+vXrR7169XBwcGDevHk8fvwYAwPlTHKJRMLx48eZMmUKffv2JSwsDAcHB+rVq6d2H3wOS5asxdDQgBUr5mBpacbt2160atWdmJhYVZ4iRQqqDeiNjQ1ZseJXChUqQHx8Aj4+/vz00yj27TuqynP37gM6dRrI7NkTmDx5JIGBr0iJeYfiM+ORHz31o+/wCarPC1etB6Btc1fmpA1w8oL80s1P7dzWbe5an6joD/zu/idh795TqmRx1i6eRUEH5bUa/u692rrFKampbNm5n8CXr9HRkVHDpTLbf1+qFlaQmJTEqj+2EPQmBCNDQ+rWqs68aeMwM1WfR9C8UT2l9uZdSu0SxVi7cAYF0wYG4e8i1NYPTklNZcvugxnaVSuxfe0iDdrbCApO0/72G+ZNG6um3bxRXaXult0Zugt+0a6bksqW3YfSdHWoUbUi29csyKKbzKoNO9J0Daj7bTXmTR2dzeZm339HZPQHft+6h7D3ETgVL8qa+VNU2mHvIgjOFEaVmprK1j1HCHyl1K5epQLbVs2jUJbBU+CrN9x76M26Rb9oPM+JFy7wwcwck169kFpZIw98TuTECaS+fQuA1Noa2WeurS8xMcFsjBtSKysUsbEk+/sRMXIE8qdPkT99ys14K7rPHoCxuTHPvPxY2nM2ibEJquOtC9moPL4AAfd8WD98Ge3cutJuTGfCXr5l/bBlPPfKCAlr2LMZAON3z1Kryya31Vzb58HJ3w9hamVGw55N6b1oCAqFgvevw7iw+SSXtp8GwKqQjdr35LN7vmwYvpy2bl1oM6YLYS9D+GPYMgK9Mtb1btCzKQBuu2eq6W52+43r+zwAqNy4GrqWGS9M0TFTXh8pcRGkxmmejAr5248Jcg+J4r/qI88lJBIJBw8e/OgrsgX/LYKCgihSpAhnz56lUaNGuVaugUHRXCvrc/gQ5JEvuoKvCC2rJXwRPvNFObkmm5J/IUwR3fPnJRVTnue8+k5eItMyETKvWX0n+1yZL4WuTcmPZ/qHGBsVz5VyYuMCc6WcfxOf7UkWCP6LnD9/npiYGCpWrEhwcDDjx4+nePHi1KtX7+MHCwQCgUDwf4oIt9COGCQLBChXJJk8eTLPnj3D1NSU2rVrs2PHjs8OCxIIBAKBQPDfQAySP4KIRvk6aNq0KU2bNs3vaggEAoFA8EUR4xztiEGyQCAQCAQCwVeKQqyTrJV/toaaQCAQCAQCgUDwH0R4kgUCgUAgEAi+UkS4hXbEIFkgEAgEAoHgK0UMkrUjwi0EAoFAIBAIBIIsCE+yQCAQCAQCwVeK8CPngEIgEPzrSUhIUEyfPl2RkJDw1WgLm78swub/vm5+an+NNue3tuCfI15LLRD8HxAdHY25uTlRUVGYmZl9FdrCZmHzf1Vb2Px12Jzf2oJ/johJFggEAoFAIBAIsiAGyQKBQCAQCAQCQRbEIFkgEAgEAoFAIMiCGCQLBP8H6OvrM336dPT19b8abWHzl0XY/N/XzU/tr9Hm/NYW/HPExD2BQCAQCAQCgSALwpMsEAgEAoFAIBBkQQySBQKBQCAQCASCLIhBskAgEAgEAoFAkAUxSBYIBAKBQCAQCLKgk98VEAgEAoFAkHe8evWKwMBA4uLisLW1pXz58nm+2kJiYiK3bt1S061atSolSpTIU93MJCUl8fz5cxwdHdHR+XLDncjISPbt20dAQADjxo3DysqKe/fuYW9vT6FChb5YPQS5QP6+FVsgEPzbCAkJUfTo0UNRoEABhUwmU0ilUrXtv6abn9rCZmFzXukGBgYqJk6cqChWrJhCKpUqJBKJatPX11e4uroq9uzZo0hJSclV3atXryq6dOmiMDAwUEilUoWVlZWiUKFCCkNDQ4VUKlU4OTkpFi5cqIiOjs5V3czExsYq+vbtq5DJZAqZTKYICAhQKBQKxfDhwxXz5s3LM12FQqG4f/++wtbWVuHk5KTQ0dFRaU+dOlXRs2fPPNUW5D7CkywQ/Is5d+4cjRo10rhv9erVDBs2LNc1+/Tpw8uXL5k2bRoFChRAIpHkusa/STc/tYXNwua8YOTIkbi7u9OkSRNmzZpFjRo1KFSoEIaGhrx//55Hjx5x+fJlpk2bxsyZM3F3d6d69er/WLdt27bcvn2bbt26cerUKapVq4aRkZFq/7Nnz7h8+TI7d+5k6dKlbN26lcaNG/9j3axMmjSJ+/fv4+HhQbNmzVTprq6uTJ8+nYkTJ+a6ZjpjxoyhT58+LFy4EFNTU1V68+bN6datW57pCvKI/B6lCwQC7Zibmytu3bqVLX3ZsmUKU1PTPNE0MTFReHp65knZ/0bd/NQWNn8d2l9a183NTREaGvpJeY8dO6bYu3dvruiuXr1akZiY+El5Hz16pDh9+nSu6GalaNGiiuvXrysUCmXbp3tz/fz88qzfTMfMzEzh7++fTTswMFChr6+fp9qC3Ed4kgWCfzHLli2jRYsWXLx4kXLlygGwePFiZs+ezbFjx/JEs0iRIijy4R1D+aWbn9rC5q9D+0vrLlq06JPztmjRItd0hw4d+sl5y5cvT/ny5XNNOzNhYWHY2dllS4+Njc1zL76BgQHR0dHZ0n18fLC1tc1TbUEekH/jc4FA8CksWrRIUahQIcXz588V8+fPV5iZmSmuXr2aZ3qnTp1SNGnSRPH8+fM80/g36eantrD5y/I12ZyUlKTw9vZWfb527doX0Y2IiFCcPHlS9Xn//v1fRDcz9erVU6xcuVKhUCi9uc+ePVMoFArF0KFDFU2bNs1T7QEDBijatWunSEpKUmm/ePFCUbVqVcXIkSPzVFuQ+4jXUgsE/wdMmjSJP/74g5SUFE6ePEnNmjXzTMvS0pK4uDjkcjlGRkbo6uqq7X///v1/Sjc/tYXNwua80u3WrRt37tyhQ4cOzJ8/n9q1a3Pt2rVc18lK8+bNkcvl2NnZsX37durUqfNFdDNz7do1mjVrRvfu3dm8eTODBg3i8ePHXL9+nYsXL/LNN9/kmXZ0dDQtWrTg8ePHfPjwgYIFCxISEkKtWrU4fvw4xsbGeaYtyH1EuIVA8C9j5cqV2dIKFCiAkZER9erV4+bNm9y8eROAESNG5Lr+8uXLc73Mf7NufmoLm78O7fzQvX//Pr6+vsyaNYvVq1d/Md2QkBA8PT1xd3dn6tSpX0w3M7Vr1+bq1assXrwYR0dHTp8+jYuLC9evX6dixYp5qm1mZsaVK1c4f/489+7dIzU1FRcXF1xdXfNUV5A3CE+yQPAv41PXEZVIJDx79iyPayMQCP4fady4MWfOnAGge/funD9/nuDg4C+qO3LkSLZt25anTwcEgrxEeJIFgn8Zz58/z+8qkJKSwqFDh/D29kYikVCuXDnatGmDTCb7T+rmp7awWdicF9SvX5/k5GR0dXVZu3YtvXr1yhOdrHTq1Emlu3jx4i+6xF86MpmM4ODgbJP33r17h52dHSkpKXmmrelJICidGgYGBjg5OVGvXr0vcq0L/jnCkywQCNTw9/enRYsWvH79mtKlS6NQKPD19aVIkSIcO3YMR0fH/5RufmoLm4XNeW3z14hUKiUkJCTbIPnNmzc4OjoSHx+fZ9olSpQgLCyMuLg4LC0tUSgUREZGYmRkhImJCaGhoZQsWZILFy5QpEiRPKuHIHcQg2SB4F9MSkoKmzdv5ty5c4SGhpKamqq2//z587mu2aJFCxQKBTt27MDKygpQemB69OiBVCrNs6Xn8ks3P7WFzcLmvLYZ4PXr11y9elVjH5IX8xrSuXXrFh4eHhp1ly5dmut66V7c0aNHM3v2bExMTFT7UlJSuHTpEoGBgXh6eua6djo7d+5k/fr1bNiwQfXjx9/fn0GDBjFw4EDq1KlDly5dcHBwYN++fXlWD0HuIAbJAsG/mGHDhrF582Zatmyp8U1dy5Yty3VNY2Njbty4kW2Cy/3796lTpw4xMTG5rpmfuvmpLWz+crr5qZ2fNru7uzN48GD09PSwtrZW60Pycl7D3LlzmTp1KqVLl8be3j6bbl78wE+fz/HixQsKFy6sFtKgp6dH8eLFmTVrVp6uDuTo6Mj+/fupUqWKWrqnpycdO3bk2bNnXLt2jY4dO36RGHHBP0PEJAsE/2J27drFnj17cnXB/4+hr6/Phw8fsqXHxMSgp6f3n9PNT21h85fTzU/t/LT5l19+4ZdffmHSpElIpdI81crMihUr2LRpE3369PlimunzORo2bMiBAwewtLT8YtrpBAcHI5fLs6XL5XJCQkIAKFiwoMbrQfDv48vdMQKB4LPR09PDycnpi2q2atWKgQMHcvPmTRQKBQqFghs3bjB48GDatGnzn9PNT21hs7A5r22Oi4ujS5cuX3SADMq44Dp16nxRzXQuXLiQLwNkUA7QBw0apBbS4enpyc8//8z3338PwMOHDz95FSNBPpNHLykRCAS5wOLFixVDhgxRpKamfjHNiIgIRZs2bRQSiUShp6en0NPTU0ilUkW7du0UkZGR/znd/NQWNgub89rmcePGKebNm5enGppYsGBBvr5h7tWrV4rffvtNMWHCBMXo0aPVtrwkODhY4erqmu1cN27cWBESEqJQKBSK8+fPK06dOpWn9RDkDiImWSD4F9O+fXsuXLiAlZUV5cuXz/amrgMHDuSZtp+fH0+fPkWhUFCuXLkv5tHOL9381BY2C5vzipSUFFq1akV8fDwVK1bM1ofkxQQ6gNTUVFq2bImvry/lypX7on3XuXPnaNOmDSVKlMDHx4cKFSoQGBiIQqHAxcUlT+Khs/L06VN8fX1RKBSUKVOG0qVL57mmIPcRg2SB4F/MTz/9lON+d3f3L1QTgUDw/8js2bOZPn36F51ABzB06FA2btxIw4YNs+lC3vZdNWrUoFmzZsyaNQtTU1Pu37+PnZ0d3bt3p1mzZvz88895pi34byEGyQKBgDFjxjB79myMjY0ZM2ZMjnlz0/OUX7r5qS1sFjbnpW5WLC0tWbZs2RedQAdgamrKrl27aNmy5RfVTdf28vLC0dERS0tLrly5Qvny5bl//z5t27YlMDAwT/WDgoI4cuQIL1++JCkpSW1fXp5rQe4jVrcQCAR4enqSnJys+v+/rpuf2sJmYfOXRF9fP18m0FlZWeXbS1KMjY1JTEwElCtJBAQEUL58eQDCw8PzVPtjoR6C/y+EJ1kg+Jezb98+9uzZo9Erce/evXyqlUAg+H9g3rx5BAcHa31dcl7h7u7OyZMncXd3x8jI6Itqt2vXjpYtWzJgwADGjx/PwYMH6dOnj2pZuLNnz+aZtgj1+G8hloATCP7FrFy5kp9++gk7Ozs8PT2pUaMG1tbWPHv2jObNm+eJZt++fTWu4RkbG0vfvn3zRDM/dfNTW9j85XTzUzs/bb516xZbtmyhZMmStG7dmg4dOqhtecXKlSs5ceIE9vb2VKxYERcXF7UtL1m6dKnqhSEzZsygcePG7N69m2LFirFx48b/tXfvUVlV6/vwr/UgJwFFTBBNBEFACCU1Iy3BY6mFaPZVM/OMWWqRWbvcqWWaZZrZyTKVPKSmmeU200JBKfklonjCAyKQCpQKKScRuN8/fHlGj6ilrMVEvD5jPGO41mJw3fe2sZ1M5prT0OyUlBQMGzYMAFCnTh0UFRXB0dERb775Jt555x1Ds0l/nEkmqsH8/f0xbdo0DB482Dwr0aJFC0ydOhXnz5/HRx99pHumlZUVsrKy4OrqanH/7NmzaNy48TU3yr+dc1Vms+fqy1WZrbJnVS//vvHGGzd8Pm3aNENyVWvcuDG2bduGgIAABAYG4u2330Z4eHi1nK5I+uOaZKIaLDMzEx07dgQA2Nvbm2ejhg4dipCQEF0HyRcuXDAfdHDx4kXY2dmZn5WVleGHH36o9I/87ZyrMps9s2eje66gagecGw2CVc3NrV+/HtOnT8f+/fsNywgJCcEvv/yCgIAA9OnTB5MmTcKBAwewfv16hISEGJZLBjFyE2YiqhovLy/Zs2ePiIi0b99eFi5cKCIiW7ZskQYNGuiapWmamEym636srKzkrbfe0jVTZa7KbPbMno3uucLy5cuv++yll14yLHfWrFnXvF9aWiqDBg0yLPfzzz+XAQMGyODBgyUhIUFERGJiYiQ4OFjs7e0lMjLSsGwRkRMnTkhycrKIiBQUFMi4ceMkKChI+vXrJ+np6YZmk/643IKoBhs9ejSaNWuGadOmYeHChXjxxRfRqVMnJCYmon///rqur4uLi4OIoGvXrvjmm2/g4uJifmZjY4PmzZujSZMmuuWpzlWZzZ7Zs9E9V3B2dsaKFSvw6KOPWtyPiorC6tWrkZWVZUium5sbZsyYgcjISPO9srIyDBo0CAcPHkRKSorume+99x5ee+01tG7d2vz9p0yZgnnz5mHChAl47rnncNddd+meS7WYqtE5Ef2zsrIyuXz5svl6zZo1MmHCBPnggw8kMzPTkMz09HQpKysz5HvXxFyV2ez5zshW2fPmzZulfv36EhcXZ743fvx4adKkiaSkpBiWm5iYKM7OzrJmzRoRESkpKZF+/fpJq1atJCsry5BMf39/Wbx4sYiIbN++XTRNk27duklubq4hedfi5eUlZ8+erXQ/NzdXvLy8qq0O0gdnkoluM9nZ2Zg5cya++OILFBUVGZZTWFh4zW3nWrdubVimylyV2ey5+nJVZqvKXb16NZ599lls3boVS5YswXfffYft27fD19fX0NzY2Fj07dsXy5Ytw+LFi3HixAls27YNbm5uhuTVrVsXR44cgYeHB4Are0Tv2LHDvNNFdTCZTMjOzq601jwnJwceHh7m/Zvp9sAX94hqoLy8PDz33HPYunUrrK2t8Z///Afjx4/H9OnTMXfuXAQEBGDJkiWGZP/5558YMWIENm/efM3nZWVltSpXZTZ7rr5cldkqewaAQYMGITc3Fw8++CAaNWqEuLg4+Pj4GJoJAGFhYVi+fDkef/xxtGrVCnFxcYYudyguLrZ4OdLGxgaNGjUyLO/vvv/+e/Oft2zZgvr165uvy8rKEBMTA09Pz2qphfTDQTJRDfTaa69hx44dGDZsGH788UdERUXhxx9/RHFxMX744QeEhoYalv3CCy8gNzcXCQkJ6NKlC7799lvk5OTgrbfewty5c2tdrsps9syejci93jHYrq6uuPfee/HJJ5+Y7+l5TPL19l1u1KgRnJ2dLdYnr1+/Xrfcv/viiy/g6OgIACgtLUV0dHSlgfnEiRN1z42IiAAAaJpm3ie5grW1NTw9PQ3/75v0x+UWRDVQxab33bt3R1paGnx8fDBx4kTMnz/f8Gx3d3d899136NChA+rVq4fExET4+vri+++/x7vvvov4+Phalasymz2zZyNyu3Tp8q++TtM0bNu2Tbfcf9qT+e+M2JrO09MTmqbd8Gs0TUNaWpru2RW8vLywe/duviBYS3AmmagGOnPmDAICAgAALVq0gJ2dHUaPHl0t2QUFBeb1dC4uLvjzzz/h6+uLoKAgQ4/BVpWrMps9s2cjcrdv36779/w3VO3JXCE9PV1pPgCcPHlSdQmkIw6SiWqg8vJyWFtbm6+trKzg4OBQLdl+fn44evQoPD09ERwcjM8++wyenp5YuHAh3N3da12uymz2zJ6N7pmqX0xMDGJiYvDHH3+gvLzc4plR75KQQdRurkFE16JpmvTu3Vv69esn/fr1kzp16kjPnj3N1xUfI6xYsUKWLl0qIiJJSUnSqFEjMZlMYmdnJ6tXrzYkU2Wuymz2zJ6NyB07duy/3iJy9erVsmLFCt1ruFNNnz5dTCaTdOjQQfr27SsREREWH7q9cE0yUQ30b9f2VcevNwsLC83bKlXnOjtVuSqz2TN71sPrr7+OBQsWoGPHjggPD0f79u3RpEkT2NnZITc3F4cPH0Z8fDxWr16Npk2b4vPPP0dQUJDuddyJ3N3d8e6772Lo0KGqSyEdcJBMRERUy/zxxx9YvHgxVq9ejYMHD1o8c3JyQvfu3REZGYmePXsqqrB2atiwIX777Td4e3urLoV0wEEyEV13y6hr0XPLKFW5KrPZc/XlqsxW2fPV8vLykJGRgaKiItx1113w9vb+x10gquLy5cvo2bMnPvvsM8MPLKlpXnnlFTg6OuL1119XXQrpgC/uERH27t37r75O739YVeWqzGbP1ZerMltlz1dzdnaGs7Oz4TkVrK2tcfDgwWrp7XrKy8uRmpp6zZfnOnfubFhucXExPv/8c/z8889o3bq1xQvYgPE/EJG+OJNMREREupo0aRKsra0xe/bsas9OSEjAk08+iYyMDFw9xNE0zdATDm+0R7Xe+1KT8ThIJiIiIl1NmDABy5Ytg4+PD9q3b19pC0sjZ1SDg4Ph6+uLN954A+7u7pVmtP9+ZDTRjXCQTEQWunTpcsNfkxo1E6IqV2U2e66+XJXZKntWReWMqoODA5KTk+Hj42NYxj9JTU3FiRMn0LlzZ9jb20NElC4/oVvDNclEZCE4ONji+vLly9i3bx8OHjyIYcOG1bpcldnsmT0b3bMqqk79A4D7778fqampSgbJ586dw//93/9h+/bt0DQNx48fR4sWLTB69Gg4Oztj7ty51V4T3ToOkonIwvvvv3/N+9OnT0d+fn6ty1WZzZ6rL1dltsqeVauuGdX9+/eb/zxhwgRMmjQJ2dnZCAoKqvTyXOvWrXXPrxAVFQVra2tkZmaiVatW5vsDBw5EVFQUB8m3GS63IKJ/JTU1FR06dMD58+fviFyV2ey5etX2ntetW4evv/4amZmZKCkpsXiWlJRkSOb1ZlRHjRplyIyqyWSCpmmVXtSrUPHM6Bf3GjdujC1btqBNmzZwcnJCcnIyWrRogZMnTyIoKKjW/1BU25hUF0BEt4ddu3bBzs7ujslVmc2e74zs6shdsGABRowYAVdXV+zduxcdOnRAw4YNkZaWhl69ehmW+/cZ1bp165rvDxw4ED/++KPueSdPnkRaWhpOnjx5zU/Fs7S0NN2z/66goMCi3wpnz56Fra2todmkPy63ICIL/fv3t7gWEWRlZSExMdHQDfJV5arMZs/s2eieP/nkE3z++ecYPHgwvvzyS7z88sto0aIFpk6daugM9tatW7FlyxbcfffdFvdbtmyJjIwM3fOaN29u/vOOHTvQsWNH1KljOcQpLS3Fr7/+avG1euvcuTOWLVuGGTNmALgyg11eXo45c+bc8GVGqpk4SCYiC1dvj2QymeDn54c333zT0CNsVeWqzGbP7NnonjMzM9GxY0cAgL29PS5evAgAGDp0KEJCQvDRRx8ZkqtyRrVLly7IysqCq6urxf2//voLXbp0MXS5xZw5cxAWFobExESUlJTg5ZdfxqFDh3D+/Hn88ssvhuWSMbgmmYiIqJZq0aIF1q1bh7Zt2+K+++7D6NGjMXbsWGzduhWDBg0ybDa5T58+aNu2LWbMmAEnJyfs378fzZs3x6BBg1BeXo5169YZkgtc+SEkJycHjRo1srh/7NgxtG/fHhcuXDAsGwCys7Px6aefYs+ePSgvL0fbtm3x3HPPwd3d3dBc0h9nkonomhITE5GSkgJN09CqVSu0a9euVueqzGbP7NkoXbt2xcaNG9G2bVuMGjUKUVFRWLduHRITEystA9GTihnVin40TcPw4cMtZqzLysqwf/9+86y6kRo3bow33njD8ByqBkJE9De///67PPjgg6JpmjRo0EAaNGggmqZJp06dJDMzs9blqsxmz+zZ6J7Lysrk8uXL5us1a9bIhAkT5IMPPpBLly4Zmp2VlSVTp06VPn36SK9evWTKlCly5swZw/KGDx8uw4cPF03TZODAgebr4cOHS2RkpMyaNUv+/PNPw/JFRJYsWSJff/11pftff/21REdHG5pN+uMgmYgs9OjRQ+6//345cuSI+d6RI0ekY8eO0qNHj1qXqzKbPVdfrspslT3fiaZPny75+flKsn19fWXbtm2V7sfGxoqvr6+CiqgqOEgmIgt2dnaSlJRU6f6ePXvEzs6u1uWqzGbP1ZerMltlzyIiO3bskCFDhkhISIicOnVKRESWLVsmO3fuNDT3/PnzMmfOHBk5cqSMGjVK3nvvPTl37pyhmSIin3/+uRw7dszwnGuxtbWVkydPVrp/8uTJavm7Jn1xn2QisuDh4YHLly9Xul9aWoqmTZvWulyV2ey5+nJVZqvs+ZtvvsHDDz8Me3t77N27F5cuXQIAXLx4EbNmzTIsNy4uDl5eXliwYAFyc3Nx/vx5LFiwAF5eXoiLizMsFwDmzp0Lf39/NGnSBIMHD8Znn32GI0eOGJpZwdXV1eL0vwrJyclo2LBhtdRAOlI9SieimmXDhg3SoUMH2b17t5SXl4uIyO7duyUkJES+/fbbWperMps9s2ejew4ODpYvv/xSREQcHR3lxIkTIiKyd+9ecXNzMyw3MDBQxowZI6WlpeZ7paWlEhkZKYGBgYblVsjKypKvvvpKxo4dK35+fmIymcTNzU0GDhxoaO7kyZOlefPmsm3bNiktLZXS0lKJiYmR5s2by6RJkwzNJv1xCzgistCgQQMUFhaitLTUvBl/xZ8dHBwsvlbP7aNU5arMZs/s2eie69ati8OHD8PT09PimOS0tDQEBASguLhY17wK9vb22LdvH/z8/CzuHz16FMHBwSgqKjIk92oFBQWIj4/H6tWrsWLFCogISktLDcsrKSnB0KFDsXbtWvPfdXl5OZ5++mksXLgQNjY2hmWT/rgFHBFZmD9//h2VqzKbPd8Z2Sp7dnd3R2pqKjw9PS3ux8fHo0WLFobltm3bFikpKZUGySkpKQgODjYsFwA2b96MuLg4xMbGIjk5GYGBgejcuTO++eYbPPTQQ4blyv9/kuLSpUvx1ltvYd++fbC3t0dQUJChp/yRcTiTTEREVEu9++67+PLLL7FkyRL06NEDP/zwAzIyMhAVFYWpU6di/PjxhuSuWbMGL7/8MiZMmICQkBAAQEJCAj7++GPMnj0brVq1Mn9t69atdc02mUxo1KgRJk2ahLFjx1Y68dAo5eXlsLOzw6FDh9CyZctqySRjcZBMRJWUlZVhw4YN5oMPAgICEB4eDisrq1qZqzKbPbNno02ZMgXvv/++eWmFra0tXnrpJcyYMcOwTJPpxvsCaJoGEYGmabofEz1//nzs2LEDO3fuhJWVFUJDQxEWFoawsDCLwbkRAgMDsXjxYvMPBnR74yCZiCykpqaid+/eOH36NPz8/CAiOHbsGJo1a4ZNmzbB29u7VuWqzGbP7NnI3LKyMsTHxyMoKAh2dnY4fPgwysvLERAQAEdHR0MyK2RkZPzrrzVyKcKBAwcQFxeH7du3Y+PGjWjYsCGysrIMy9u0aRNmz56NTz/9FPfcc49hOVQ9OEgmIgu9e/eGiGDlypVwcXEBAJw7dw5PPfUUTCYTNm3aVKtyVWazZ/ZsdM92dnZISUmBl5eXYRk11d69exEbG4vt27dj586duHjxIu69917s3r3bsMy/v6RpY2MDe3t7i+d6v5hJxuIgmYgsODg4ICEhAUFBQRb3k5OT0alTJ+Tn59eqXJXZ7Ln6clVmq+z5vvvuw+zZs9GtWzfDMirs2rULDzzwwL/62oKCAqSnpyMwMFD3OsLDwxEfH48LFy4gODjYvNSic+fOqFevnu55f/fll1/e8PmwYcMMzSd9cXcLIrJga2uLixcvVrqfn59v6PZFqnJVZrPn6stVma2y55kzZ5rXH7dr167SlnN6DhqffvppeHp6YsyYMejdu/c1l3QcPnwYK1aswNKlS/Huu+8aMkj29fVFZGRktQyKr8ZBcC1TDXsxE9FtZOjQoRIYGCgJCQlSXl4u5eXlsmvXLrnnnntk2LBhtS5XZTZ7Zs9G96xpmvljMpnMn4prPZWUlMiHH34ofn5+UqdOHQkICJDu3bvLo48+Kp06dZKGDRuKnZ2dPPnkk3LgwAFds2uS1NRUmTJligwaNEhycnJERGTz5s1y8OBBxZXRzeIgmYgs5ObmSnh4uGiaJjY2NmJjYyMmk0kiIiIkLy+v1uWqzGbP7NnonmNjY2/4McqePXtk/vz58sILL8jYsWNlypQpsm7dOjl37pxhmX8XGxsrjz76qHh7e4uPj4889thjsmPHjmrJtbe3l+7du4uNjY35hMN33nlHHn/8ccPzSV9ck0xE15SamoqUlBSICAICAuDj41Orc1Vms2f2rMK+ffsMP9hDhRUrVmDEiBHo378/OnXqBBHBr7/+im+//RbR0dF48sknDct+4IEH8MQTT+DFF1+0OOFw9+7diIiIwOnTpw3LJv1xkExEAK5shD937lxs2LABly9fRvfu3TF16lTY2dnVylyV2eyZPavy119/YeXKlfjiiy+QnJys+x7FNUGrVq0QGRmJqKgoi/vz5s3DokWLkJKSYli2o6MjDhw4AC8vL4tBcnp6Ovz9/Q07BpwMomT+mohqnFmzZonJZJIePXpIeHi42NraypgxY2ptrsps9syeq1tMTIwMGTJE7O3txd/fX6ZMmSJJSUlKajGajY2NHD9+vNL948ePi62traHZTZs2lV9++UVERBwdHc3LLdavXy8tWrQwNJv0x0EyEYmIiK+vr3z88cfm682bN4utra2Ul5fXylyV2eyZPVeH33//XWbMmCFeXl7i6uoq48ePlzp16sihQ4eqJV8Vb29vWbhwYaX7CxcuFB8fH0OzJ0+eLA8++KBkZWWJk5OTHD9+XOLj46VFixYyffp0Q7NJfxwkE5GIiNja2kpGRob5ury8XGxsbOTUqVO1MldlNntmz0br1auXODk5yeDBg+V///uflJaWiojcEYPkTz75RGxsbOSZZ56RZcuWyfLly2Xs2LFia2t7zcGznkpKSuTJJ5807yBibW0tJpNJnnrqKfPfAd0+uE8yEQEASkpKLE6H0jQNNjY2uHTpUq3MVZnNntmz0bZu3YqJEydi3LhxaNmypeF5Vzt58qSyU/7GjRuHxo0bY+7cufj6668BXFmnvGbNGvTt29fQbGtra6xcuRIzZsxAUlISysvLce+99yr5O6Cq4yCZiMxef/111K1b13xdUlKCmTNnon79+uZ78+bNqzW5KrPZM3s2Mnfnzp1YsmQJ2rdvD39/fwwdOhQDBw7UPed6fHx80LlzZ4waNQoDBgyotpcVS0tLMXPmTIwcORLx8fHVkgnUzJc0qeq4uwURAQDCwsKgadoNv0bTNGzbtq1W5KrMZs/Vl6syW2XPFQoLC7F69WosWbIEv/32G8rKyjBv3jyMHDkSTk5OhuUePHgQS5YswcqVK3Hp0iUMHDgQo0aNQocOHQzLrODo6IiDBw/C09PT8KwKb7/9Nv773/+iW7dusLe3x5YtW/D000/j888/r7YaSH8cJBMREd0Bjh49isWLF2P58uXIy8tDjx498P333xuaWVpaio0bNyI6OhqbN29Gy5YtMWrUKAwdOhSNGjUyJDMiIgIREREYPny4Id//Wvz8/PD888/j2WefBQD8+OOPiIiIQFFR0T/+oEQ1FwfJREREd5CysjJs3LgRS5YsMXyQXOHSpUv45JNP8Oqrr6KkpATW1tYYOHAg3nnnHbi7u+ua9dlnn2H69OkYMmQI2rVrBwcHB4vn4eHhuuYBgJ2dHY4dOwYPDw8AgIjAzs4OaWlpaNq0qe55VD04SCYiIiJDJCYmYsmSJVi9ejUcHBwwbNgwjBo1CmfOnMHUqVNx8eJF/Pbbb7pmmkym6z7TNM2QA1RMJhNycnIsZsf/fpgI3Z44SCYiIiJdzZs3D0uXLsXRo0fRu3dvjB49Gr1797YYwKampsLf3x+lpaUKK9WHyWRCZGSkxUuaH3/8MZ566qlqeTGVjMFBMhEREemqZcuWGDlyJEaMGIHGjRtf82tKSkqwatUqDBs2rJqr019NeEmT9MdBMhEREekqPT0dHh4elZY+iAh+//1389pdPRUVFSEmJgaPPvooAODVV1+12JPaysoKM2bM4LZs9K9xkExENcLx48fx66+/Ijs7G5qmwc3NDR07dqz2Tfhzc3ORmpoKd3d33H333YZmqexZVTZ7VvffdnWysrJCVlYWXF1dLe6fO3cOrq6uhqwL/uyzz/C///0PGzduBHBlTXBgYKD5QJcjR47g5ZdfRlRUlO7ZVEtV9xF/RFQzlZSUyOTJk8Xb21vuu+8+WbJkicXz7OxsMZlMuufm5eVJeHi4aJomzs7O4uvrKy1bthRnZ2cxmUzSt29f+euvv3TPFRF59dVXpaCgQESu9D9mzBjzcbImk0n69esnRUVFuueq7FlVNnuu3p5V0zRNcnJyKt1PT0+XunXrGpL50EMPyfr1683Xjo6OcuLECfP18uXLJSQkxJBsqp04SCYiERGZNm2auLm5yZw5c2TKlClSv359iYyMND/Pzs4WTdN0zx06dKgEBQVJQkJCpWcJCQnSunVrefrpp3XPFRExmUzmf8hnzpwpjRo1km+++UZOnz4tGzdulKZNm8qbb76pe67KnlVls+fqy1UpKipKoqKixGQyydixY83XUVFRMnHiRLn//vulY8eOhmS7ubnJwYMHzdd33XWXnDx50nx99OhRqVevniHZVDtxkExEIiLi4+MjGzduNF+npqZKy5YtZfjw4VJeXm7YTHL9+vWvOYiosGvXLqlfv77uuSKWs13BwcGyePFii+dr1qyRVq1a6Z6rsmdV2ey5+nJVCgsLk7CwMNE0TTp27Gi+DgsLk549e0pkZKQcO3bMkGw7Ozs5cuTIdZ+npKSIra2tIdlUO9VRvdyDiGqG06dP45577jFfe3t7IzY2Fl27dsXQoUPx7rvvGpZ9o7fCjT6tquL7//7775WOzO3QoQMyMjIMzb3ZZ7dzNnuuvlxVtm/fDgAYMWIEPvjgA9SrV6/asu+++24cPHgQfn5+13y+f/9+w98zoNrl+jtuE9EdpXHjxjhx4oTFvSZNmmDbtm3YvXu3Yds0PfbYYxgzZgwSExMrPUtMTMQzzzxjyAlZFRYtWoQFCxbA1tYWubm5Fs/++usv2Nra6p6psmdV2ey5+nJrgqVLl1brABkAevfujalTp6K4uLjSs6KiIrzxxhvo06eP4XXk5eVh69atWLFiBZYtW2bxodsLd7cgIgDA6NGjISJYvHhxpWenT59GWFgY0tLSdH8rPS8vD4MHD8aWLVvg7OwMV1dXaJqGnJwc/PXXX3j44Yfx1VdfwdnZWddcAPD09LSYzXvhhRfw/PPPm6/nz5+PNWvWYNeuXbrmquxZVTZ7rt6eVejfvz+io6NRr1499O/f/4Zfu379et3zc3JyEBwcDBsbG4wfPx6+vr7QNA1HjhzBRx99hNLSUuzduxdubm66Z1fYuHEjhgwZgoKCAjg5OVn8/4umaTh//rxh2aQ/DpKJCACQkZGBI0eO4OGHH77m86ysLGzdutWwGeUjR45g165dyM7OBnBlZvuBBx6Av7+/IXn/RkJCAmxtbXHvvfca8v1V9pySkoKEhIRqz1aVqzK7Jv63bYQRI0ZgwYIFcHJywogRI274tUuXLjWkhpMnT2LcuHH46aefUDG80TQNPXr0wCeffGL4EdG+vr7o3bs3Zs2aZXH6Ht2eOEgmIiKiWuX8+fNITU0FAPj4+MDFxaVach0cHHDgwAHDB+NUPfjiHhFZKC8vr3RKVsX9U6dOGXJSlsrcG8nNzcXGjRvx9NNP16pcEcHPP/9c6YCLTp06oVu3boa+ULZt2zbEx8cjKysLVlZW8PLyQnh4uOEHayQnJyMpKQlhYWHw8vLCoUOH8PHHH6O8vBz9+vW77m9QquKbb75Br1697sgZxaKiIoiIufeMjAx8++23CAgIQM+ePQ3Pd3FxqfQibnV4+OGHkZiYyEFybaFqWw0iqln++usveeKJJ8TOzk5cXV1l6tSpUlpaan5u1BZwqnL/jX379inJNjL31KlTEhwcLFZWVtKmTRvp2bOn9OjRQ9q0aSNWVlbStm1bOXXqlO65OTk50qFDB9E0TaysrMRkMkm7du2kcePGYmVlJZMnT9Y9s8K6devEyspKGjZsKE5OTvLzzz+Ls7OzdO/eXR5++GGxsrKSlStX6p6raZo4OTnJmDFjbrgVXG3Uo0cP+fTTT0VEJDc3V1xdXeXuu+8WOzs7+eSTTxRXZ5wvvvhCPDw8ZNq0abJu3Tr57rvvLD50e+EgmYhERGTixIni6+sra9eulUWLFknz5s2lT58+cunSJREx7jARVbkiVwboN/rs3LnTsB8MVOSKiISHh0vXrl3lzJkzlZ6dOXNGunbtKn379tU9d+DAgRIRESG5ublSWFgozz33nPkgjZiYGGnYsKHMnz9f91wRkbZt28pbb70lIiKrVq0SZ2dni0Ni3nvvPQkODtY9V9M0efPNN+Xee+8VTdMkMDBQ3n//fTl79qzuWTVNw4YNzQd7LFq0SFq3bi1lZWXy9ddfi7+/v+LqjKNp2nU/qn7Yp1vHQTIRiYiIh4eHbN++3Xx99uxZuf/++6Vnz55SXFxs2IyuqlwRMf/Ddb2PUf+wqcoVEXFwcJB9+/Zd93lSUpI4ODjonluvXj2L09Dy8/PF2trafCzz8uXLxc/PT/dckSs9V5y8Vl5eLtbW1rJ//37z8xMnToijo6PuuX8/rCYxMVHGjRsnzs7OYmtrK0888YRs3bpV98yawt7eXjIyMkRE5IknnpDp06eLiEhmZqbY29urLI3oX+OaZCICAJw9exbNmzc3Xzds2BA//fQTHn74YfTu3RtffPFFrcoFACcnJ0yZMgX333//NZ8fP34cY8eOrTW5AGBvb3/Dbahyc3Nhb2+ve66tra3FWmeTyYSysjKUlpYCADp27Ij09HTdc4Er/3ufO3cOnp6eyMvLQ2lpKc6dO2d+fu7cOTg6OhqSXaFdu3Zo164d5s2bh7Vr12LJkiV45JFH0KxZM8P6VsnHxwcbNmxAv379sGXLFkRFRQEA/vjjj2rfP5nolqkepRNRzeDn5yebNm2qdP/ixYvywAMPSJs2bQyZ3VSVK3LlCN133nnnus/37dtnyFIPVbkiIuPHj5dmzZrJ2rVrJS8vz3w/Ly9P1q5dKx4eHjJx4kTdc/v16yePP/645OfnS0lJibzwwgvi4+Njfp6QkCCNGzfWPVdE5KmnnpL7779fVqxYIY899pg88sgjEhISIikpKXLkyBEJDQ2VAQMG6J5rMpnMM8nXcvz4cXnttdd0z60J1q5dK9bW1mIymaRHjx7m+7NmzZJHHnlEYWXGi42NlUcffVS8vb3Fx8dHHnvsMdmxY4fqsugW8MQ9IgIA9OzZ85p7lzo6OmLLli2ws7OrVbkA8OSTT97w+zdu3BjTpk2rNbkAMHfuXPTp0wdDhgyBi4sL7O3tYW9vDxcXFwwZMgR9+vTBnDlzdM997733sG/fPjg7O8PBwQHR0dH49NNPzc9TUlIwfPhw3XMrsp2cnPDMM8+gtLQUa9asQfv27REQEICAgACcOXMGs2fP1j1X/mGHVR8fH8ycOVP33JpgwIAByMzMRGJiIn788Ufz/W7duuH9999XWJmxVqxYge7du6Nu3bqYOHEixo8fD3t7e3Tr1g1fffWV6vLoJnGfZCICcOXX7GfOnEFgYOA1n+fn52PPnj0IDQ2tFbl3ugsXLiAxMRE5OTkArgzM27VrZ+ivwgsLCxEfH4+SkhKEhITgrrvuMizr30hLS0NhYSH8/f1Rp47+qw8zMjLg4eFh6JZ6VLO0atUKkZGR5uUlFebNm4dFixYhJSVFUWV0KzhIJiIiIl0VFBRg9uzZiImJwR9//IHy8nKL52lpaYoqM5atrS0OHToEHx8fi/upqam45557UFxcrKgyuhV8cY+IzAoKCvDVV19d85CJwYMHw8HBoVblqsy+E3suKirCqlWrKh0mEhERgW7duhmSqTpbZc8qjR49GnFxcRg6dCjc3d3vmNn0Zs2aISYmptIgOSYmBs2aNVNUFd0qziQTEQDg8OHD6NGjBwoLCxEaGgo3NzeICP744w/ExcXBwcEBW7duRUBAQK3IVZl9J/acmpqK7t27Iz8/HzY2NsjOzkbv3r1x9uxZJCYmon///vjqq68MWfagKltlz6o5Oztj06ZN6NSpk+pSqtWnn36KF154ASNHjkTHjh2haRri4+MRHR2NDz74wLBda8ggat4XJKKaJiwsTAYNGmQ+xOPvLl26JIMHD5awsLBak6sy+07suVevXjJ27FgpKysTEZG3335bevXqJSIix44dE09PT5k2bZruuSqzVfasmqenpxw+fFh1GUqsX79eOnXqJC4uLuLi4iKdOnWSDRs2qC6LbgEHyUQkIlc2/z906NB1nx84cMCQQwBU5arMvhN7rlu3rhw7dsx8fenSJbG2tjafPrdhwwbx9PTUPVdltsqeVVu+fLkMGDBACgoKVJdCdMu4BRwRAQAaNGiA48ePX/d5amoqGjRoUGtyVWbfiT07Ozvj4sWL5uvCwkKUlpbCxsYGANC6dWtkZWXpnqsyW2XPqs2dOxdbtmyBm5sbgoKC0LZtW4sP0e2g9i2EIqJbMmbMGAwbNgz//e9/0aNHD7i5uUHTNGRnZ+Onn37CrFmz8MILL9SaXJXZd2LPPXr0wIsvvoiFCxfC1tYWr776KoKDg+Hk5AQAyMzMhKurq+65KrNV9qxaRESE6hKqjYuLC44dO4a77roLDRo0uOFLijc67ZJqINVT2URUc8yePVvc3d1F0zQxmUxiMplE0zRxd3e/4Qlxt2uuyuw7reecnBwJCQkxZ3p6ekpSUpL5+dq1a2XBggW1Kltlz1R9oqOjpbi4WEREli5dKtHR0df90O2Fu1sQUSUnT55EdnY2gCuHTHh5edXqXJXZd1rPx48fx6VLlww7wKMmZqvsWaW8vDysW7cOJ06cwOTJk+Hi4oKkpCS4ubmhadOmqssj+kccJBMREZGu9u/fj+7du6N+/fpIT0/H0aNH0aJFC7z++uvIyMjAsmXLVJdoCCsrK2RlZVVaRnPu3Dm4urqirKxMUWV0K/jiHhGZFRUVIT4+HocPH670rLi42LB/2FTlqsy+E3u+kd9//x0jR46s9lyV2Sp7NtqLL76I4cOH4/jx47CzszPf79WrF3bs2KGwMmNdb97x0qVL5hc26fbBmWQiAgAcO3YMPXv2RGZmJjRNw0MPPYRVq1bB3d0dAJCTk4MmTZroPhOiKldl9p3Y8z9JTk5G27Ztlcy0qcpW2bPR6tevj6SkJHh7e8PJyQnJyclo0aIFMjIy4OfnV+uOZ16wYAEAICoqCjNmzICjo6P5WVlZGXbs2IH09HTs3btXVYl0C+6cxVFEdEOvvPIKgoKCkJiYiLy8PLz44ovo1KkTYmNj4eHhUetyVWbfiT1///33N3yelpZW67JV9qyanZ0dLly4UOn+0aNH0ahRIwUVGev9998HcGUmeeHChbCysjI/s7GxgaenJxYuXKiqPLpV6t4ZJKKaxNXVVfbv329x79lnnxUPDw85ceKEZGdni8lkqjW5KrPvxJ4rdnjQNO26H6N6VpWtsmfVxowZIxEREVJSUiKOjo6SlpYmGRkZcu+998rzzz+vujzDhIWFyfnz51WXQTrhmmQiAnBlnerVb95//PHHCA8PR2hoKI4dO1arclVm34k9u7u745tvvkF5efk1P0lJSYbkqsxW2bNq7733Hv7880+4urqiqKgIoaGh8PHxgZOTE2bOnKm6PMNs377dsIOAqPpxuQURAQD8/f2RmJiIVq1aWdz/8MMPISIIDw+vVbkqs+/Entu1a4ekpKTrHjKhadp1X3q6XbNV9qxavXr1EB8fj23btiEpKQnl5eVo27Ytunfvrro0w506dQrff/89MjMzUVJSYvFs3rx5iqqiW6JuEpuIapJZs2ZJr169rvt83LhxomlarclVmX0n9rxjxw7ZvHnzdZ/n5+dLbGys7rkqs1X2TGr8/PPPUrduXQkMDJQ6depIcHCwODs7S/369aVLly6qy6ObxN0tiIiISDfl5eWIjo7G+vXrkZ6eDk3T4OXlhQEDBmDo0KE3PLb5dtehQwc88sgjePPNN827eri6umLIkCF45JFHMG7cONUl0k3gIJmIiIh0ISJ47LHH8MMPP6BNmzbw9/eHiCAlJQUHDhxAeHg4NmzYoLpMwzg5OWHfvn3w9vZGgwYNEB8fj8DAQCQnJ6Nv375IT09XXSLdBK5JJiIiIl1ER0djx44diImJQZcuXSyebdu2DREREVi2bBmefvppRRUay8HBAZcuXQIANGnSBCdOnEBgYCAA4OzZsypLo1vA3S2IiIhIF6tWrcJrr71WaYAMAF27dsV//vMfrFy5UkFl1SMkJAS//PILAKBPnz6YNGkSZs6ciZEjRyIkJERxdXSzuNyCiIiIdNG4cWP8+OOPCA4OvubzvXv3olevXsjOzq7ewqpJWloa8vPz0bp1axQWFuKll15CfHw8fHx88P7776N58+aqS6SbwEEyERER6cLGxgYZGRnmY86vdubMGXh5eZmXJBDVZFxuQURERLooKyurdFjN31lZWaG0tLQaKyK6dXxxj4iIiHQhIhg+fDhsbW2v+bw2ziA3aNDgX29rd/78eYOrIT1xkExERES6GDZs2D9+TW3b2WL+/PmqSyCDcE0yEREREdFVOJNMREREpIPMzMwbPvfw8KimSkgPnEkmIiIi0oHJZLrh+uSysrJqrIaqijPJRERERDrYu3evxfXly5exd+9ezJs3DzNnzlRUFd0qziQTERERGWjTpk2YM2cOYmNjVZdCN4H7JBMREREZyNfXF7t371ZdBt0kLrcgIiIi0sGFCxcsrkUEWVlZmD59Olq2bKmoKrpVHCQTERER6cDZ2bnSi3sigmbNmmH16tWKqqJbxTXJRERERDqIi4uzuDaZTGjUqBF8fHxueFw31UwcJBMRERERXYU/1hARERHp5OjRo/jwww+RkpICTdPg7++P8ePHw9/fX3VpdJO4uwURERGRDtatW4d77rkHe/bsQZs2bdC6dWskJSUhKCgIa9euVV0e3SQutyAiIiLSQYsWLfDUU0/hzTfftLg/bdo0LF++HGlpaYoqo1vBQTIRERGRDurWrYv9+/fDx8fH4v7x48fRpk0bFBYWKqqMbgWXWxARERHpICwsDDt37qx0Pz4+Hg899JCCiqgq+OIeERERkQ7Cw8PxyiuvYM+ePQgJCQEAJCQkYO3atXjjjTfw/fffW3wt1WxcbkFERESkA5Pp3/2CXtM0lJWVGVwNVRUHyUREREREV+GaZCIiIiKiq3CQTERERKSTuLg4PPbYY/Dx8UHLli0RHh5+zZf5qObjIJmIiIhIBytWrED37t1Rt25dTJw4EePHj4e9vT26deuGr776SnV5dJO4JpmIiIhIB61atUJkZCSioqIs7s+bNw+LFi1CSkqKosroVnCQTERERKQDW1tbHDp0qNJhIqmpqbjnnntQXFysqDK6FVxuQURERKSDZs2aISYmptL9mJgYNGvWTEFFVBU8TISIiIhIB5MmTcLEiROxb98+dOzYEZqmIT4+HtHR0fjggw9Ul0c3icstiIiIiHTy7bffYu7cueb1x61atcLkyZPRt29fxZXRzeIgmYiIiKiKRASpqam4fPkyfH19UacOf1l/u+OaZCIiIqIqSE9PR3BwMPz9/REUFAQfHx8kJSWpLouqiINkIiIioip45ZVXUFxcjOXLl2Pt2rVwd3fH2LFjVZdFVcTlFkRERERV0KRJE6xatQqhoaEAgFOnTqF58+bIz8+Hvb294uroVnEmmYiIiKgKsrOz4e/vb76+++67YW9vj5ycHIVVUVVxkExERERUBZqmwWSyHFKZTCbwl/W3Ny63ICIiIqoCk8mE+vXrQ9M08728vDzUq1fPYvB8/vx5FeXRLeL+JERERERVsHTpUtUlkAE4k0xEREREdBWuSSYiIiIiugoHyUREREREV+EgmYiIiIjoKhwkExERERFdhYNkIiIiIqKrcAs4IiIiolv04osv/uuvnTdvnoGVkN44SCYiIiK6RXv37rW43rNnD8rKyuDn5wcAOHbsGKysrNCuXTsV5VEVcJBMREREdIu2b99u/vO8efPg5OSEL7/8Eg0aNAAA5ObmYsSIEXjooYdUlUi3iIeJEBEREemgadOm2Lp1KwIDAy3uHzx4ED179sSZM2cUVUa3gi/uEREREengwoULyMnJqXT/jz/+wMWLFxVURFXBQTIRERGRDvr164cRI0Zg3bp1OHXqFE6dOoV169Zh1KhR6N+/v+ry6CZxuQURERGRDgoLC/HSSy9hyZIluHz5MgCgTp06GDVqFObMmQMHBwfFFdLN4CCZiIiISEcFBQU4ceIERAQ+Pj4cHN+mOEgmIiIiIroKt4AjIiIiukU3s9Z4/fr1BlZCeuMgmYiIiOgW1a9fX3UJZBAutyAiIiKqIhFBZmYmGjVqhLp166ouh3TALeCIiIiIqkhE0LJlS5w+fVp1KaQTDpKJiIiIqshkMqFly5Y4d+6c6lJIJxwkExEREeng3XffxeTJk3Hw4EHVpZAOuCaZiIiISAcNGjRAYWEhSktLYWNjA3t7e4vn58+fV1QZ3QrubkFERESkg/nz56sugXTEmWQiIiIioqtwJpmIiIhIJ2VlZdiwYQNSUlKgaRoCAgIQHh4OKysr1aXRTeIgmYiIiEgHqamp6N27N06fPg0/Pz+ICI4dO4ZmzZph06ZN8Pb2Vl0i3QQutyAiIiLSQe/evSEiWLlyJVxcXAAA586dw1NPPQWTyYRNmzYprpBuBgfJRERERDpwcHBAQkICgoKCLO4nJyejU6dOyM/PV1QZ3Qruk0xERESkA1tbW1y8eLHS/fz8fNjY2CioiKqCg2QiIiIiHTz66KOIjIzE//t//w8iAhFBQkICnnnmGYSHh6suj24Sl1sQERER6SAvLw/Dhg3Dxo0bYW1tDQAoLS1FeHg4oqOjUb9+fcUV0s3gIJmIiIioClJTU+Hj42NxffjwYQBAQECAxTO6fXCQTERERFQFJpMJTZs2RZcuXdC1a1eEhYXB09NTdVlURRwkExEREVXBzp07ERcXh9jYWOzatQvFxcXw8PBA165d0aVLF3Tp0gVNmzZVXSbdJA6SiYiIiHRy+fJl7Nq1C7GxsYiNjUVCQgIuXboEHx8fHD16VHV5dBM4SCYiIiLSWVFREeLj47FlyxYsWrQI+fn5KCsrU10W3QQOkomIiIiqqLi4GL/++iu2b9+O2NhY7N69G15eXggNDUXnzp0RGhrKJRe3GQ6SiYiIiKogNDQUu3fvhre3t3lAHBoaCjc3N9WlURVwkExERERUBdbW1nB3d0dERATCwsLQuXNn3HXXXarLoiriIJmIiIioCgoKCrBz507ExsZi+/bt2LdvH3x9fREaGoqwsDCEhoaiUaNGqsukm8RBMhEREZGOLl68iPj4ePP65OTkZLRs2RIHDx5UXRrdBJPqAoiIiIhqEwcHB7i4uMDFxQUNGjRAnTp1kJKSorosukmcSSYiIiKqgvLyciQmJpqXW/zyyy8oKCgwn8JX8WnevLnqUukmcJBMREREVAX16tVDQUEB3N3dERYWhrCwMHTp0gXe3t6qS6Mq4CCZiIiIqAo+++wzdOnSBb6+vqpLIR1xkExEREREdBW+uEdEREREdBUOkomIiIiIrsJBMhERERHRVThIJiIiIiK6CgfJRERERERX4SCZiIiIiOgqHCQTEREREV2Fg2QiIiIioqv8f5U9mUi6Z6DHAAAAAElFTkSuQmCC",
      "text/plain": [
       "<Figure size 640x480 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# lets visualize the correlation with a plot:heatmap\n",
    "sns.heatmap(df.corr(numeric_only =True), annot =True)\n",
    "plt.show() "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 33,
   "id": "35bdbbb9-0502-4078-ac82-3829a24e5776",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "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",
      "text/plain": [
       "<Figure size 2000x700 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# lets visualize the correlation with a plot:heatmap\n",
    "sns.heatmap(df.corr(numeric_only =True), annot =True)\n",
    "plt.rcParams['figure.figsize'] =(30,7)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "id": "5f86e835-80ab-42ed-85aa-45f528b96060",
   "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>Rank</th>\n",
       "      <th>2022 Population</th>\n",
       "      <th>2020 Population</th>\n",
       "      <th>2015 Population</th>\n",
       "      <th>2010 Population</th>\n",
       "      <th>2000 Population</th>\n",
       "      <th>1990 Population</th>\n",
       "      <th>1980 Population</th>\n",
       "      <th>1970 Population</th>\n",
       "      <th>Area (km²)</th>\n",
       "      <th>Density (per km²)</th>\n",
       "      <th>Growth Rate</th>\n",
       "      <th>World Population Percentage</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Continent</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>Africa</th>\n",
       "      <td>92.16</td>\n",
       "      <td>25455879.68</td>\n",
       "      <td>23871435.26</td>\n",
       "      <td>21419703.57</td>\n",
       "      <td>18898197.31</td>\n",
       "      <td>14598365.95</td>\n",
       "      <td>11376964.52</td>\n",
       "      <td>8586031.98</td>\n",
       "      <td>6567175.27</td>\n",
       "      <td>537879.30</td>\n",
       "      <td>126.41</td>\n",
       "      <td>1.02</td>\n",
       "      <td>0.31</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Asia</th>\n",
       "      <td>77.56</td>\n",
       "      <td>96327387.31</td>\n",
       "      <td>94955134.37</td>\n",
       "      <td>89165003.64</td>\n",
       "      <td>89087770.00</td>\n",
       "      <td>80580835.11</td>\n",
       "      <td>48639995.33</td>\n",
       "      <td>40278333.33</td>\n",
       "      <td>43839877.83</td>\n",
       "      <td>642762.82</td>\n",
       "      <td>1025.02</td>\n",
       "      <td>1.01</td>\n",
       "      <td>1.18</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Europe</th>\n",
       "      <td>124.50</td>\n",
       "      <td>15055371.82</td>\n",
       "      <td>14915843.92</td>\n",
       "      <td>15027454.12</td>\n",
       "      <td>14712278.68</td>\n",
       "      <td>14817685.71</td>\n",
       "      <td>14785203.94</td>\n",
       "      <td>14200004.52</td>\n",
       "      <td>13118479.82</td>\n",
       "      <td>460208.22</td>\n",
       "      <td>663.32</td>\n",
       "      <td>1.00</td>\n",
       "      <td>0.19</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>North America</th>\n",
       "      <td>160.93</td>\n",
       "      <td>15007403.40</td>\n",
       "      <td>14855914.82</td>\n",
       "      <td>14259596.25</td>\n",
       "      <td>13568016.28</td>\n",
       "      <td>12151739.60</td>\n",
       "      <td>10531660.62</td>\n",
       "      <td>9207334.03</td>\n",
       "      <td>7885865.15</td>\n",
       "      <td>606104.45</td>\n",
       "      <td>272.49</td>\n",
       "      <td>1.00</td>\n",
       "      <td>0.19</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Oceania</th>\n",
       "      <td>188.52</td>\n",
       "      <td>2046386.32</td>\n",
       "      <td>1910148.96</td>\n",
       "      <td>1756664.48</td>\n",
       "      <td>1613163.65</td>\n",
       "      <td>1357512.09</td>\n",
       "      <td>1162774.87</td>\n",
       "      <td>996532.17</td>\n",
       "      <td>846968.26</td>\n",
       "      <td>370220.91</td>\n",
       "      <td>132.54</td>\n",
       "      <td>1.01</td>\n",
       "      <td>0.02</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>South America</th>\n",
       "      <td>97.57</td>\n",
       "      <td>31201186.29</td>\n",
       "      <td>30823574.50</td>\n",
       "      <td>29509599.71</td>\n",
       "      <td>26789395.54</td>\n",
       "      <td>25015888.69</td>\n",
       "      <td>21224743.93</td>\n",
       "      <td>17270643.29</td>\n",
       "      <td>13781939.71</td>\n",
       "      <td>1301302.85</td>\n",
       "      <td>20.97</td>\n",
       "      <td>1.01</td>\n",
       "      <td>0.39</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                Rank  2022 Population  2020 Population  2015 Population  \\\n",
       "Continent                                                                 \n",
       "Africa         92.16      25455879.68      23871435.26      21419703.57   \n",
       "Asia           77.56      96327387.31      94955134.37      89165003.64   \n",
       "Europe        124.50      15055371.82      14915843.92      15027454.12   \n",
       "North America 160.93      15007403.40      14855914.82      14259596.25   \n",
       "Oceania       188.52       2046386.32       1910148.96       1756664.48   \n",
       "South America  97.57      31201186.29      30823574.50      29509599.71   \n",
       "\n",
       "               2010 Population  2000 Population  1990 Population  \\\n",
       "Continent                                                          \n",
       "Africa             18898197.31      14598365.95      11376964.52   \n",
       "Asia               89087770.00      80580835.11      48639995.33   \n",
       "Europe             14712278.68      14817685.71      14785203.94   \n",
       "North America      13568016.28      12151739.60      10531660.62   \n",
       "Oceania             1613163.65       1357512.09       1162774.87   \n",
       "South America      26789395.54      25015888.69      21224743.93   \n",
       "\n",
       "               1980 Population  1970 Population  Area (km²)  \\\n",
       "Continent                                                     \n",
       "Africa              8586031.98       6567175.27   537879.30   \n",
       "Asia               40278333.33      43839877.83   642762.82   \n",
       "Europe             14200004.52      13118479.82   460208.22   \n",
       "North America       9207334.03       7885865.15   606104.45   \n",
       "Oceania              996532.17        846968.26   370220.91   \n",
       "South America      17270643.29      13781939.71  1301302.85   \n",
       "\n",
       "               Density (per km²)  Growth Rate  World Population Percentage  \n",
       "Continent                                                                   \n",
       "Africa                    126.41         1.02                         0.31  \n",
       "Asia                     1025.02         1.01                         1.18  \n",
       "Europe                    663.32         1.00                         0.19  \n",
       "North America             272.49         1.00                         0.19  \n",
       "Oceania                   132.54         1.01                         0.02  \n",
       "South America              20.97         1.01                         0.39  "
      ]
     },
     "execution_count": 20,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# exploring population growth across the years by continent\n",
    "df.groupby('Continent').mean(numeric_only =True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "id": "e57fb4fa-c6ee-49e0-bb80-86e398ec1f93",
   "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>Rank</th>\n",
       "      <th>2022 Population</th>\n",
       "      <th>2020 Population</th>\n",
       "      <th>2015 Population</th>\n",
       "      <th>2010 Population</th>\n",
       "      <th>2000 Population</th>\n",
       "      <th>1990 Population</th>\n",
       "      <th>1980 Population</th>\n",
       "      <th>1970 Population</th>\n",
       "      <th>Area (km²)</th>\n",
       "      <th>Density (per km²)</th>\n",
       "      <th>Growth Rate</th>\n",
       "      <th>World Population Percentage</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Continent</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>Asia</th>\n",
       "      <td>77.56</td>\n",
       "      <td>96327387.31</td>\n",
       "      <td>94955134.37</td>\n",
       "      <td>89165003.64</td>\n",
       "      <td>89087770.00</td>\n",
       "      <td>80580835.11</td>\n",
       "      <td>48639995.33</td>\n",
       "      <td>40278333.33</td>\n",
       "      <td>43839877.83</td>\n",
       "      <td>642762.82</td>\n",
       "      <td>1025.02</td>\n",
       "      <td>1.01</td>\n",
       "      <td>1.18</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>South America</th>\n",
       "      <td>97.57</td>\n",
       "      <td>31201186.29</td>\n",
       "      <td>30823574.50</td>\n",
       "      <td>29509599.71</td>\n",
       "      <td>26789395.54</td>\n",
       "      <td>25015888.69</td>\n",
       "      <td>21224743.93</td>\n",
       "      <td>17270643.29</td>\n",
       "      <td>13781939.71</td>\n",
       "      <td>1301302.85</td>\n",
       "      <td>20.97</td>\n",
       "      <td>1.01</td>\n",
       "      <td>0.39</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Africa</th>\n",
       "      <td>92.16</td>\n",
       "      <td>25455879.68</td>\n",
       "      <td>23871435.26</td>\n",
       "      <td>21419703.57</td>\n",
       "      <td>18898197.31</td>\n",
       "      <td>14598365.95</td>\n",
       "      <td>11376964.52</td>\n",
       "      <td>8586031.98</td>\n",
       "      <td>6567175.27</td>\n",
       "      <td>537879.30</td>\n",
       "      <td>126.41</td>\n",
       "      <td>1.02</td>\n",
       "      <td>0.31</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Europe</th>\n",
       "      <td>124.50</td>\n",
       "      <td>15055371.82</td>\n",
       "      <td>14915843.92</td>\n",
       "      <td>15027454.12</td>\n",
       "      <td>14712278.68</td>\n",
       "      <td>14817685.71</td>\n",
       "      <td>14785203.94</td>\n",
       "      <td>14200004.52</td>\n",
       "      <td>13118479.82</td>\n",
       "      <td>460208.22</td>\n",
       "      <td>663.32</td>\n",
       "      <td>1.00</td>\n",
       "      <td>0.19</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>North America</th>\n",
       "      <td>160.93</td>\n",
       "      <td>15007403.40</td>\n",
       "      <td>14855914.82</td>\n",
       "      <td>14259596.25</td>\n",
       "      <td>13568016.28</td>\n",
       "      <td>12151739.60</td>\n",
       "      <td>10531660.62</td>\n",
       "      <td>9207334.03</td>\n",
       "      <td>7885865.15</td>\n",
       "      <td>606104.45</td>\n",
       "      <td>272.49</td>\n",
       "      <td>1.00</td>\n",
       "      <td>0.19</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Oceania</th>\n",
       "      <td>188.52</td>\n",
       "      <td>2046386.32</td>\n",
       "      <td>1910148.96</td>\n",
       "      <td>1756664.48</td>\n",
       "      <td>1613163.65</td>\n",
       "      <td>1357512.09</td>\n",
       "      <td>1162774.87</td>\n",
       "      <td>996532.17</td>\n",
       "      <td>846968.26</td>\n",
       "      <td>370220.91</td>\n",
       "      <td>132.54</td>\n",
       "      <td>1.01</td>\n",
       "      <td>0.02</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                Rank  2022 Population  2020 Population  2015 Population  \\\n",
       "Continent                                                                 \n",
       "Asia           77.56      96327387.31      94955134.37      89165003.64   \n",
       "South America  97.57      31201186.29      30823574.50      29509599.71   \n",
       "Africa         92.16      25455879.68      23871435.26      21419703.57   \n",
       "Europe        124.50      15055371.82      14915843.92      15027454.12   \n",
       "North America 160.93      15007403.40      14855914.82      14259596.25   \n",
       "Oceania       188.52       2046386.32       1910148.96       1756664.48   \n",
       "\n",
       "               2010 Population  2000 Population  1990 Population  \\\n",
       "Continent                                                          \n",
       "Asia               89087770.00      80580835.11      48639995.33   \n",
       "South America      26789395.54      25015888.69      21224743.93   \n",
       "Africa             18898197.31      14598365.95      11376964.52   \n",
       "Europe             14712278.68      14817685.71      14785203.94   \n",
       "North America      13568016.28      12151739.60      10531660.62   \n",
       "Oceania             1613163.65       1357512.09       1162774.87   \n",
       "\n",
       "               1980 Population  1970 Population  Area (km²)  \\\n",
       "Continent                                                     \n",
       "Asia               40278333.33      43839877.83   642762.82   \n",
       "South America      17270643.29      13781939.71  1301302.85   \n",
       "Africa              8586031.98       6567175.27   537879.30   \n",
       "Europe             14200004.52      13118479.82   460208.22   \n",
       "North America       9207334.03       7885865.15   606104.45   \n",
       "Oceania              996532.17        846968.26   370220.91   \n",
       "\n",
       "               Density (per km²)  Growth Rate  World Population Percentage  \n",
       "Continent                                                                   \n",
       "Asia                     1025.02         1.01                         1.18  \n",
       "South America              20.97         1.01                         0.39  \n",
       "Africa                    126.41         1.02                         0.31  \n",
       "Europe                    663.32         1.00                         0.19  \n",
       "North America             272.49         1.00                         0.19  \n",
       "Oceania                   132.54         1.01                         0.02  "
      ]
     },
     "execution_count": 21,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# exploring population growth across the years by continent\n",
    "df.groupby('Continent').mean(numeric_only =True).sort_values(by=\"2022 Population\", ascending=False) "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "id": "4e9a6e97-ff51-423a-8af5-6aea1343daf5",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<Axes: xlabel='Continent'>"
      ]
     },
     "execution_count": 22,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": "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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "#To visualize this distribution\n",
    "df2= df.groupby('Continent').mean(numeric_only =True).sort_values(by=\"2022 Population\", ascending=False)\n",
    "df2.plot() "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "id": "5ee20a19-fbab-436a-8654-73bb22a07528",
   "metadata": {},
   "outputs": [],
   "source": [
    "# We do a transpose so we can we see the population grpwth across the years on the x axis instead\n",
    "df3=df2.transpose() "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 25,
   "id": "8ea354fc-19f2-42ea-850f-56c9639e0724",
   "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>Continent</th>\n",
       "      <th>Asia</th>\n",
       "      <th>South America</th>\n",
       "      <th>Africa</th>\n",
       "      <th>Europe</th>\n",
       "      <th>North America</th>\n",
       "      <th>Oceania</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>Rank</th>\n",
       "      <td>77.56</td>\n",
       "      <td>97.57</td>\n",
       "      <td>92.16</td>\n",
       "      <td>124.50</td>\n",
       "      <td>160.93</td>\n",
       "      <td>188.52</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2022 Population</th>\n",
       "      <td>96327387.31</td>\n",
       "      <td>31201186.29</td>\n",
       "      <td>25455879.68</td>\n",
       "      <td>15055371.82</td>\n",
       "      <td>15007403.40</td>\n",
       "      <td>2046386.32</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2020 Population</th>\n",
       "      <td>94955134.37</td>\n",
       "      <td>30823574.50</td>\n",
       "      <td>23871435.26</td>\n",
       "      <td>14915843.92</td>\n",
       "      <td>14855914.82</td>\n",
       "      <td>1910148.96</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2015 Population</th>\n",
       "      <td>89165003.64</td>\n",
       "      <td>29509599.71</td>\n",
       "      <td>21419703.57</td>\n",
       "      <td>15027454.12</td>\n",
       "      <td>14259596.25</td>\n",
       "      <td>1756664.48</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2010 Population</th>\n",
       "      <td>89087770.00</td>\n",
       "      <td>26789395.54</td>\n",
       "      <td>18898197.31</td>\n",
       "      <td>14712278.68</td>\n",
       "      <td>13568016.28</td>\n",
       "      <td>1613163.65</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "Continent              Asia  South America      Africa      Europe  \\\n",
       "Rank                  77.56          97.57       92.16      124.50   \n",
       "2022 Population 96327387.31    31201186.29 25455879.68 15055371.82   \n",
       "2020 Population 94955134.37    30823574.50 23871435.26 14915843.92   \n",
       "2015 Population 89165003.64    29509599.71 21419703.57 15027454.12   \n",
       "2010 Population 89087770.00    26789395.54 18898197.31 14712278.68   \n",
       "\n",
       "Continent        North America    Oceania  \n",
       "Rank                    160.93     188.52  \n",
       "2022 Population    15007403.40 2046386.32  \n",
       "2020 Population    14855914.82 1910148.96  \n",
       "2015 Population    14259596.25 1756664.48  \n",
       "2010 Population    13568016.28 1613163.65  "
      ]
     },
     "execution_count": 25,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df3.head() "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 26,
   "id": "3e0e4c97-1376-40c6-a4bb-0a80b9cf6185",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<Axes: >"
      ]
     },
     "execution_count": 26,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": "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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "df3.plot() "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 27,
   "id": "dc531a3e-7cd4-4459-aeb3-9b50c8c08f40",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Index(['Rank', 'CCA3', 'Country', 'Capital', 'Continent', '2022 Population',\n",
       "       '2020 Population', '2015 Population', '2010 Population',\n",
       "       '2000 Population', '1990 Population', '1980 Population',\n",
       "       '1970 Population', 'Area (km²)', 'Density (per km²)', 'Growth Rate',\n",
       "       'World Population Percentage'],\n",
       "      dtype='object')"
      ]
     },
     "execution_count": 27,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# the graph still awkward because some columns such as Rank, Density should be excluded, to specify the columns\n",
    "df.columns"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 28,
   "id": "29172ebd-2a6a-4f8d-83fd-25b90fbd2a47",
   "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>2022 Population</th>\n",
       "      <th>2020 Population</th>\n",
       "      <th>2015 Population</th>\n",
       "      <th>2010 Population</th>\n",
       "      <th>2000 Population</th>\n",
       "      <th>1990 Population</th>\n",
       "      <th>1980 Population</th>\n",
       "      <th>1970 Population</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Continent</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>Asia</th>\n",
       "      <td>96327387.31</td>\n",
       "      <td>94955134.37</td>\n",
       "      <td>89165003.64</td>\n",
       "      <td>89087770.00</td>\n",
       "      <td>80580835.11</td>\n",
       "      <td>48639995.33</td>\n",
       "      <td>40278333.33</td>\n",
       "      <td>43839877.83</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>South America</th>\n",
       "      <td>31201186.29</td>\n",
       "      <td>30823574.50</td>\n",
       "      <td>29509599.71</td>\n",
       "      <td>26789395.54</td>\n",
       "      <td>25015888.69</td>\n",
       "      <td>21224743.93</td>\n",
       "      <td>17270643.29</td>\n",
       "      <td>13781939.71</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Africa</th>\n",
       "      <td>25455879.68</td>\n",
       "      <td>23871435.26</td>\n",
       "      <td>21419703.57</td>\n",
       "      <td>18898197.31</td>\n",
       "      <td>14598365.95</td>\n",
       "      <td>11376964.52</td>\n",
       "      <td>8586031.98</td>\n",
       "      <td>6567175.27</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Europe</th>\n",
       "      <td>15055371.82</td>\n",
       "      <td>14915843.92</td>\n",
       "      <td>15027454.12</td>\n",
       "      <td>14712278.68</td>\n",
       "      <td>14817685.71</td>\n",
       "      <td>14785203.94</td>\n",
       "      <td>14200004.52</td>\n",
       "      <td>13118479.82</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>North America</th>\n",
       "      <td>15007403.40</td>\n",
       "      <td>14855914.82</td>\n",
       "      <td>14259596.25</td>\n",
       "      <td>13568016.28</td>\n",
       "      <td>12151739.60</td>\n",
       "      <td>10531660.62</td>\n",
       "      <td>9207334.03</td>\n",
       "      <td>7885865.15</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "               2022 Population  2020 Population  2015 Population  \\\n",
       "Continent                                                          \n",
       "Asia               96327387.31      94955134.37      89165003.64   \n",
       "South America      31201186.29      30823574.50      29509599.71   \n",
       "Africa             25455879.68      23871435.26      21419703.57   \n",
       "Europe             15055371.82      14915843.92      15027454.12   \n",
       "North America      15007403.40      14855914.82      14259596.25   \n",
       "\n",
       "               2010 Population  2000 Population  1990 Population  \\\n",
       "Continent                                                          \n",
       "Asia               89087770.00      80580835.11      48639995.33   \n",
       "South America      26789395.54      25015888.69      21224743.93   \n",
       "Africa             18898197.31      14598365.95      11376964.52   \n",
       "Europe             14712278.68      14817685.71      14785203.94   \n",
       "North America      13568016.28      12151739.60      10531660.62   \n",
       "\n",
       "               1980 Population  1970 Population  \n",
       "Continent                                        \n",
       "Asia               40278333.33      43839877.83  \n",
       "South America      17270643.29      13781939.71  \n",
       "Africa              8586031.98       6567175.27  \n",
       "Europe             14200004.52      13118479.82  \n",
       "North America       9207334.03       7885865.15  "
      ]
     },
     "execution_count": 28,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df4= df.groupby('Continent')[df.columns[5:13]].mean(numeric_only =True).sort_values(by=\"2022 Population\", ascending=False)\n",
    "df4.head()\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 29,
   "id": "ccae4461-bb0c-4b89-af54-a7a5661eeaa0",
   "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>1970 Population</th>\n",
       "      <th>1980 Population</th>\n",
       "      <th>1990 Population</th>\n",
       "      <th>2000 Population</th>\n",
       "      <th>2010 Population</th>\n",
       "      <th>2015 Population</th>\n",
       "      <th>2020 Population</th>\n",
       "      <th>2022 Population</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Continent</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>Asia</th>\n",
       "      <td>43839877.83</td>\n",
       "      <td>40278333.33</td>\n",
       "      <td>48639995.33</td>\n",
       "      <td>80580835.11</td>\n",
       "      <td>89087770.00</td>\n",
       "      <td>89165003.64</td>\n",
       "      <td>94955134.37</td>\n",
       "      <td>96327387.31</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>South America</th>\n",
       "      <td>13781939.71</td>\n",
       "      <td>17270643.29</td>\n",
       "      <td>21224743.93</td>\n",
       "      <td>25015888.69</td>\n",
       "      <td>26789395.54</td>\n",
       "      <td>29509599.71</td>\n",
       "      <td>30823574.50</td>\n",
       "      <td>31201186.29</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Africa</th>\n",
       "      <td>6567175.27</td>\n",
       "      <td>8586031.98</td>\n",
       "      <td>11376964.52</td>\n",
       "      <td>14598365.95</td>\n",
       "      <td>18898197.31</td>\n",
       "      <td>21419703.57</td>\n",
       "      <td>23871435.26</td>\n",
       "      <td>25455879.68</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Europe</th>\n",
       "      <td>13118479.82</td>\n",
       "      <td>14200004.52</td>\n",
       "      <td>14785203.94</td>\n",
       "      <td>14817685.71</td>\n",
       "      <td>14712278.68</td>\n",
       "      <td>15027454.12</td>\n",
       "      <td>14915843.92</td>\n",
       "      <td>15055371.82</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>North America</th>\n",
       "      <td>7885865.15</td>\n",
       "      <td>9207334.03</td>\n",
       "      <td>10531660.62</td>\n",
       "      <td>12151739.60</td>\n",
       "      <td>13568016.28</td>\n",
       "      <td>14259596.25</td>\n",
       "      <td>14855914.82</td>\n",
       "      <td>15007403.40</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Oceania</th>\n",
       "      <td>846968.26</td>\n",
       "      <td>996532.17</td>\n",
       "      <td>1162774.87</td>\n",
       "      <td>1357512.09</td>\n",
       "      <td>1613163.65</td>\n",
       "      <td>1756664.48</td>\n",
       "      <td>1910148.96</td>\n",
       "      <td>2046386.32</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "               1970 Population  1980 Population  1990 Population  \\\n",
       "Continent                                                          \n",
       "Asia               43839877.83      40278333.33      48639995.33   \n",
       "South America      13781939.71      17270643.29      21224743.93   \n",
       "Africa              6567175.27       8586031.98      11376964.52   \n",
       "Europe             13118479.82      14200004.52      14785203.94   \n",
       "North America       7885865.15       9207334.03      10531660.62   \n",
       "Oceania              846968.26        996532.17       1162774.87   \n",
       "\n",
       "               2000 Population  2010 Population  2015 Population  \\\n",
       "Continent                                                          \n",
       "Asia               80580835.11      89087770.00      89165003.64   \n",
       "South America      25015888.69      26789395.54      29509599.71   \n",
       "Africa             14598365.95      18898197.31      21419703.57   \n",
       "Europe             14817685.71      14712278.68      15027454.12   \n",
       "North America      12151739.60      13568016.28      14259596.25   \n",
       "Oceania             1357512.09       1613163.65       1756664.48   \n",
       "\n",
       "               2020 Population  2022 Population  \n",
       "Continent                                        \n",
       "Asia               94955134.37      96327387.31  \n",
       "South America      30823574.50      31201186.29  \n",
       "Africa             23871435.26      25455879.68  \n",
       "Europe             14915843.92      15055371.82  \n",
       "North America      14855914.82      15007403.40  \n",
       "Oceania             1910148.96       2046386.32  "
      ]
     },
     "execution_count": 29,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df5 = df.groupby(\"Continent\")[['1970 Population',\n",
    "       '1980 Population', '1990 Population', '2000 Population',\n",
    "       '2010 Population', '2015 Population', '2020 Population',\n",
    "       '2022 Population']].mean(numeric_only =True).sort_values(by=\"2022 Population\", ascending=False)\n",
    "df5"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 30,
   "id": "ed9d7edc-e206-4a19-94d8-343d2ec034fb",
   "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>Continent</th>\n",
       "      <th>Asia</th>\n",
       "      <th>South America</th>\n",
       "      <th>Africa</th>\n",
       "      <th>Europe</th>\n",
       "      <th>North America</th>\n",
       "      <th>Oceania</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>1970 Population</th>\n",
       "      <td>43839877.83</td>\n",
       "      <td>13781939.71</td>\n",
       "      <td>6567175.27</td>\n",
       "      <td>13118479.82</td>\n",
       "      <td>7885865.15</td>\n",
       "      <td>846968.26</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1980 Population</th>\n",
       "      <td>40278333.33</td>\n",
       "      <td>17270643.29</td>\n",
       "      <td>8586031.98</td>\n",
       "      <td>14200004.52</td>\n",
       "      <td>9207334.03</td>\n",
       "      <td>996532.17</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1990 Population</th>\n",
       "      <td>48639995.33</td>\n",
       "      <td>21224743.93</td>\n",
       "      <td>11376964.52</td>\n",
       "      <td>14785203.94</td>\n",
       "      <td>10531660.62</td>\n",
       "      <td>1162774.87</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2000 Population</th>\n",
       "      <td>80580835.11</td>\n",
       "      <td>25015888.69</td>\n",
       "      <td>14598365.95</td>\n",
       "      <td>14817685.71</td>\n",
       "      <td>12151739.60</td>\n",
       "      <td>1357512.09</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2010 Population</th>\n",
       "      <td>89087770.00</td>\n",
       "      <td>26789395.54</td>\n",
       "      <td>18898197.31</td>\n",
       "      <td>14712278.68</td>\n",
       "      <td>13568016.28</td>\n",
       "      <td>1613163.65</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2015 Population</th>\n",
       "      <td>89165003.64</td>\n",
       "      <td>29509599.71</td>\n",
       "      <td>21419703.57</td>\n",
       "      <td>15027454.12</td>\n",
       "      <td>14259596.25</td>\n",
       "      <td>1756664.48</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2020 Population</th>\n",
       "      <td>94955134.37</td>\n",
       "      <td>30823574.50</td>\n",
       "      <td>23871435.26</td>\n",
       "      <td>14915843.92</td>\n",
       "      <td>14855914.82</td>\n",
       "      <td>1910148.96</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2022 Population</th>\n",
       "      <td>96327387.31</td>\n",
       "      <td>31201186.29</td>\n",
       "      <td>25455879.68</td>\n",
       "      <td>15055371.82</td>\n",
       "      <td>15007403.40</td>\n",
       "      <td>2046386.32</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "Continent              Asia  South America      Africa      Europe  \\\n",
       "1970 Population 43839877.83    13781939.71  6567175.27 13118479.82   \n",
       "1980 Population 40278333.33    17270643.29  8586031.98 14200004.52   \n",
       "1990 Population 48639995.33    21224743.93 11376964.52 14785203.94   \n",
       "2000 Population 80580835.11    25015888.69 14598365.95 14817685.71   \n",
       "2010 Population 89087770.00    26789395.54 18898197.31 14712278.68   \n",
       "2015 Population 89165003.64    29509599.71 21419703.57 15027454.12   \n",
       "2020 Population 94955134.37    30823574.50 23871435.26 14915843.92   \n",
       "2022 Population 96327387.31    31201186.29 25455879.68 15055371.82   \n",
       "\n",
       "Continent        North America    Oceania  \n",
       "1970 Population     7885865.15  846968.26  \n",
       "1980 Population     9207334.03  996532.17  \n",
       "1990 Population    10531660.62 1162774.87  \n",
       "2000 Population    12151739.60 1357512.09  \n",
       "2010 Population    13568016.28 1613163.65  \n",
       "2015 Population    14259596.25 1756664.48  \n",
       "2020 Population    14855914.82 1910148.96  \n",
       "2022 Population    15007403.40 2046386.32  "
      ]
     },
     "execution_count": 30,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df5.transpose() "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 32,
   "id": "dece4034-9b13-4d46-986d-480917128abf",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<Axes: >"
      ]
     },
     "execution_count": 32,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": "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",
      "text/plain": [
       "<Figure size 2000x1000 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Creating a box plots to view the outliers\n",
    "df.boxplot(figsize =[20,10])\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "88373bbf-e866-4098-bb97-152d52a2ae02",
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3 (ipykernel)",
   "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": "3.12.4"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 5
}