analises.ipynb

{
 "cells": [
  {
   "cell_type": "markdown",
   "id": "dominant-washington",
   "metadata": {},
   "source": [
    "# Importando Ferramentas"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "id": "announced-september",
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/"
    },
    "id": "revolutionary-province",
    "outputId": "354f02d7-8ad2-4528-f16b-f80c33a114b0"
   },
   "outputs": [],
   "source": [
    "import json\n",
    "\n",
    "import pandas as pd\n",
    "import seaborn as sns\n",
    "import matplotlib.pyplot as plt\n",
    "from ipywidgets import interact\n",
    "import plotly.graph_objects as go\n",
    "import plotly.express as px\n",
    "import numpy as np\n",
    "from scipy import stats\n",
    "\n",
    "from Utils.data_utils import *"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "welsh-airplane",
   "metadata": {},
   "source": [
    "# Início das análises "
   ]
  },
  {
   "cell_type": "markdown",
   "id": "disciplinary-killing",
   "metadata": {},
   "source": [
    "## Análise dos IDHs "
   ]
  },
  {
   "cell_type": "markdown",
   "id": "earlier-morning",
   "metadata": {},
   "source": [
    "**Base utilizada: [Atlas do Desenvolvimento Humano (ADH)](https://basedosdados.org/dataset/mundo-onu-adh)**\n",
    "\n",
    "O Atlas do Desenvolvimento Humano no Brasil é um site que traz o Índice de Desenvolvimento Humano Municipal (IDHm) e outros 200 indicadores de demografia, educação, renda, trabalho, habitação e vulnerabilidade para os municípios brasileiros. Contém as colunas idhm (IDH do município), idhm_e (índice educacional), idhm_l (índice de longevidade) e idhm_r (índice de renda).\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "id": "traditional-namibia",
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/"
    },
    "id": "decreased-audit",
    "outputId": "fcd31b06-5cfb-4174-98b0-0418e68218fd"
   },
   "outputs": [
    {
     "data": {
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       "    }\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>id_municipio</th>\n",
       "      <th>ano</th>\n",
       "      <th>expectativa_vida</th>\n",
       "      <th>fecundidade_total</th>\n",
       "      <th>mortalidade_1</th>\n",
       "      <th>mortalidade_5</th>\n",
       "      <th>razao_dependencia</th>\n",
       "      <th>prob_sobrevivencia_40</th>\n",
       "      <th>prob_sobrevivencia_60</th>\n",
       "      <th>taxa_envelhecimento</th>\n",
       "      <th>...</th>\n",
       "      <th>pia</th>\n",
       "      <th>pia_10_14</th>\n",
       "      <th>pia_15_17</th>\n",
       "      <th>pia_18_mais</th>\n",
       "      <th>indice_escolaridade</th>\n",
       "      <th>indice_frequencia_escolar</th>\n",
       "      <th>idhm</th>\n",
       "      <th>idhm_e</th>\n",
       "      <th>idhm_l</th>\n",
       "      <th>idhm_r</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>1100015</td>\n",
       "      <td>1991</td>\n",
       "      <td>62.01</td>\n",
       "      <td>4.08</td>\n",
       "      <td>45.58</td>\n",
       "      <td>58.05</td>\n",
       "      <td>73.50</td>\n",
       "      <td>83.81</td>\n",
       "      <td>66.87</td>\n",
       "      <td>1.82</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.117</td>\n",
       "      <td>0.109</td>\n",
       "      <td>0.329</td>\n",
       "      <td>0.112</td>\n",
       "      <td>0.617</td>\n",
       "      <td>0.516</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5565</th>\n",
       "      <td>1100015</td>\n",
       "      <td>2000</td>\n",
       "      <td>66.90</td>\n",
       "      <td>3.11</td>\n",
       "      <td>28.36</td>\n",
       "      <td>33.96</td>\n",
       "      <td>61.65</td>\n",
       "      <td>89.61</td>\n",
       "      <td>75.40</td>\n",
       "      <td>3.35</td>\n",
       "      <td>...</td>\n",
       "      <td>20346.0</td>\n",
       "      <td>3040.0</td>\n",
       "      <td>1830.0</td>\n",
       "      <td>15476.0</td>\n",
       "      <td>0.195</td>\n",
       "      <td>0.303</td>\n",
       "      <td>0.483</td>\n",
       "      <td>0.262</td>\n",
       "      <td>0.698</td>\n",
       "      <td>0.617</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11130</th>\n",
       "      <td>1100015</td>\n",
       "      <td>2010</td>\n",
       "      <td>70.75</td>\n",
       "      <td>2.24</td>\n",
       "      <td>23.80</td>\n",
       "      <td>25.49</td>\n",
       "      <td>47.37</td>\n",
       "      <td>94.50</td>\n",
       "      <td>83.18</td>\n",
       "      <td>5.84</td>\n",
       "      <td>...</td>\n",
       "      <td>20434.0</td>\n",
       "      <td>2401.0</td>\n",
       "      <td>1602.0</td>\n",
       "      <td>16431.0</td>\n",
       "      <td>0.368</td>\n",
       "      <td>0.629</td>\n",
       "      <td>0.641</td>\n",
       "      <td>0.526</td>\n",
       "      <td>0.763</td>\n",
       "      <td>0.657</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>1100023</td>\n",
       "      <td>1991</td>\n",
       "      <td>66.02</td>\n",
       "      <td>3.72</td>\n",
       "      <td>32.39</td>\n",
       "      <td>41.41</td>\n",
       "      <td>69.97</td>\n",
       "      <td>88.08</td>\n",
       "      <td>74.23</td>\n",
       "      <td>1.82</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.200</td>\n",
       "      <td>0.199</td>\n",
       "      <td>0.432</td>\n",
       "      <td>0.199</td>\n",
       "      <td>0.684</td>\n",
       "      <td>0.593</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5566</th>\n",
       "      <td>1100023</td>\n",
       "      <td>2000</td>\n",
       "      <td>69.52</td>\n",
       "      <td>2.77</td>\n",
       "      <td>21.68</td>\n",
       "      <td>25.99</td>\n",
       "      <td>59.88</td>\n",
       "      <td>91.91</td>\n",
       "      <td>80.15</td>\n",
       "      <td>2.92</td>\n",
       "      <td>...</td>\n",
       "      <td>57064.0</td>\n",
       "      <td>8285.0</td>\n",
       "      <td>5190.0</td>\n",
       "      <td>43589.0</td>\n",
       "      <td>0.314</td>\n",
       "      <td>0.358</td>\n",
       "      <td>0.556</td>\n",
       "      <td>0.343</td>\n",
       "      <td>0.742</td>\n",
       "      <td>0.674</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>5 rows × 230 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "       id_municipio   ano  expectativa_vida  fecundidade_total  mortalidade_1  \\\n",
       "0           1100015  1991             62.01               4.08          45.58   \n",
       "5565        1100015  2000             66.90               3.11          28.36   \n",
       "11130       1100015  2010             70.75               2.24          23.80   \n",
       "1           1100023  1991             66.02               3.72          32.39   \n",
       "5566        1100023  2000             69.52               2.77          21.68   \n",
       "\n",
       "       mortalidade_5  razao_dependencia  prob_sobrevivencia_40  \\\n",
       "0              58.05              73.50                  83.81   \n",
       "5565           33.96              61.65                  89.61   \n",
       "11130          25.49              47.37                  94.50   \n",
       "1              41.41              69.97                  88.08   \n",
       "5566           25.99              59.88                  91.91   \n",
       "\n",
       "       prob_sobrevivencia_60  taxa_envelhecimento  ...      pia  pia_10_14  \\\n",
       "0                      66.87                 1.82  ...      NaN        NaN   \n",
       "5565                   75.40                 3.35  ...  20346.0     3040.0   \n",
       "11130                  83.18                 5.84  ...  20434.0     2401.0   \n",
       "1                      74.23                 1.82  ...      NaN        NaN   \n",
       "5566                   80.15                 2.92  ...  57064.0     8285.0   \n",
       "\n",
       "       pia_15_17  pia_18_mais  indice_escolaridade  indice_frequencia_escolar  \\\n",
       "0            NaN          NaN                0.117                      0.109   \n",
       "5565      1830.0      15476.0                0.195                      0.303   \n",
       "11130     1602.0      16431.0                0.368                      0.629   \n",
       "1            NaN          NaN                0.200                      0.199   \n",
       "5566      5190.0      43589.0                0.314                      0.358   \n",
       "\n",
       "        idhm  idhm_e  idhm_l  idhm_r  \n",
       "0      0.329   0.112   0.617   0.516  \n",
       "5565   0.483   0.262   0.698   0.617  \n",
       "11130  0.641   0.526   0.763   0.657  \n",
       "1      0.432   0.199   0.684   0.593  \n",
       "5566   0.556   0.343   0.742   0.674  \n",
       "\n",
       "[5 rows x 230 columns]"
      ]
     },
     "execution_count": 2,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "idh_municipios = get_data(\"mundo_onu_adh.municipios\")\n",
    "\n",
    "idh_municipios.sort_values(by=[\"id_municipio\", \"ano\"]).head()\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "id": "played-gibraltar",
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/"
    },
    "id": "3_fziBvVcIXx",
    "outputId": "222e65cb-af6e-4ff8-dd84-93803d71948e"
   },
   "outputs": [
    {
     "data": {
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       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>id_municipio</th>\n",
       "      <th>ano</th>\n",
       "      <th>idhm</th>\n",
       "      <th>idhm_e</th>\n",
       "      <th>idhm_l</th>\n",
       "      <th>idhm_r</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>1100015</td>\n",
       "      <td>1991</td>\n",
       "      <td>0.329</td>\n",
       "      <td>0.112</td>\n",
       "      <td>0.617</td>\n",
       "      <td>0.516</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>1100023</td>\n",
       "      <td>1991</td>\n",
       "      <td>0.432</td>\n",
       "      <td>0.199</td>\n",
       "      <td>0.684</td>\n",
       "      <td>0.593</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>1100031</td>\n",
       "      <td>1991</td>\n",
       "      <td>0.309</td>\n",
       "      <td>0.108</td>\n",
       "      <td>0.636</td>\n",
       "      <td>0.430</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>1100049</td>\n",
       "      <td>1991</td>\n",
       "      <td>0.407</td>\n",
       "      <td>0.171</td>\n",
       "      <td>0.667</td>\n",
       "      <td>0.593</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>1100056</td>\n",
       "      <td>1991</td>\n",
       "      <td>0.386</td>\n",
       "      <td>0.167</td>\n",
       "      <td>0.629</td>\n",
       "      <td>0.547</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "   id_municipio   ano   idhm  idhm_e  idhm_l  idhm_r\n",
       "0       1100015  1991  0.329   0.112   0.617   0.516\n",
       "1       1100023  1991  0.432   0.199   0.684   0.593\n",
       "2       1100031  1991  0.309   0.108   0.636   0.430\n",
       "3       1100049  1991  0.407   0.171   0.667   0.593\n",
       "4       1100056  1991  0.386   0.167   0.629   0.547"
      ]
     },
     "execution_count": 3,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df_idh_municipios = idh_municipios[[\"id_municipio\", \"ano\", \"idhm\", \"idhm_e\", \"idhm_l\", \"idhm_r\"]]#.drop_duplicates(subset=[\"id_municipio\"])\n",
    "\n",
    "df_idh_municipios.head()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "sought-parcel",
   "metadata": {
    "id": "t6TkYJ3-JwxD"
   },
   "source": [
    "**Dicionário de Dados**\n",
    "\n",
    "<br>\n",
    "\n",
    "- idhm    :  `Municipal`\n",
    "- idhm_e  :  `Educação`\n",
    "- idhm_l  :  `Longevidade`\n",
    "- idhm_r  :  `Renda` "
   ]
  },
  {
   "cell_type": "markdown",
   "id": "victorian-preview",
   "metadata": {},
   "source": [
    "## Informações dos municípios"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "occupied-precipitation",
   "metadata": {},
   "source": [
    "**Base utilizada: [Diretórios Brasileiros](https://basedosdados.org/dataset/br-bd-diretorios-brasil)**\n",
    "\n",
    "Tabelas ligando diversos códigos institucionais e informações de entidades brasileiras."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "id": "deluxe-defensive",
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/"
    },
    "id": "2PfwiJLogm36",
    "outputId": "d1532c7c-568d-4f37-8921-3a7512782a37"
   },
   "outputs": [],
   "source": [
    "info_municipios = get_data(\"br_bd_diretorios_brasil.municipio\")\n",
    "\n",
    "df_info_municipios = info_municipios[[\"id_municipio\", \n",
    "                                      \"municipio\", \n",
    "                                      \"capital_uf\", \n",
    "                                      \"uf\", \n",
    "                                      \"regiao\", \n",
    "                                      \"microrregiao\", \n",
    "                                      \"mesorregiao\"]]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "id": "confused-applicant",
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "data": {
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       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>id_municipio</th>\n",
       "      <th>municipio</th>\n",
       "      <th>capital_uf</th>\n",
       "      <th>uf</th>\n",
       "      <th>regiao</th>\n",
       "      <th>microrregiao</th>\n",
       "      <th>mesorregiao</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>1100023</td>\n",
       "      <td>Ariquemes</td>\n",
       "      <td>0</td>\n",
       "      <td>Rondônia</td>\n",
       "      <td>Norte</td>\n",
       "      <td>Ariquemes</td>\n",
       "      <td>Leste Rondoniense</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>1100106</td>\n",
       "      <td>Guajará-Mirim</td>\n",
       "      <td>0</td>\n",
       "      <td>Rondônia</td>\n",
       "      <td>Norte</td>\n",
       "      <td>Guajará-Mirim</td>\n",
       "      <td>Madeira-Guaporé</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>1100114</td>\n",
       "      <td>Jaru</td>\n",
       "      <td>0</td>\n",
       "      <td>Rondônia</td>\n",
       "      <td>Norte</td>\n",
       "      <td>Ji-Paraná</td>\n",
       "      <td>Leste Rondoniense</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>1100130</td>\n",
       "      <td>Machadinho D'Oeste</td>\n",
       "      <td>0</td>\n",
       "      <td>Rondônia</td>\n",
       "      <td>Norte</td>\n",
       "      <td>Ariquemes</td>\n",
       "      <td>Leste Rondoniense</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>1100205</td>\n",
       "      <td>Porto Velho</td>\n",
       "      <td>1</td>\n",
       "      <td>Rondônia</td>\n",
       "      <td>Norte</td>\n",
       "      <td>Porto Velho</td>\n",
       "      <td>Madeira-Guaporé</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "   id_municipio           municipio  capital_uf        uf regiao  \\\n",
       "0       1100023           Ariquemes           0  Rondônia  Norte   \n",
       "1       1100106       Guajará-Mirim           0  Rondônia  Norte   \n",
       "2       1100114                Jaru           0  Rondônia  Norte   \n",
       "3       1100130  Machadinho D'Oeste           0  Rondônia  Norte   \n",
       "4       1100205         Porto Velho           1  Rondônia  Norte   \n",
       "\n",
       "    microrregiao        mesorregiao  \n",
       "0      Ariquemes  Leste Rondoniense  \n",
       "1  Guajará-Mirim    Madeira-Guaporé  \n",
       "2      Ji-Paraná  Leste Rondoniense  \n",
       "3      Ariquemes  Leste Rondoniense  \n",
       "4    Porto Velho    Madeira-Guaporé  "
      ]
     },
     "execution_count": 5,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df_info_municipios.head(5)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "id": "alternative-aquatic",
   "metadata": {
    "id": "6h5cSXFuUQgV",
    "scrolled": true
   },
   "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>id_municipio</th>\n",
       "      <th>ano</th>\n",
       "      <th>idhm</th>\n",
       "      <th>idhm_e</th>\n",
       "      <th>idhm_l</th>\n",
       "      <th>idhm_r</th>\n",
       "      <th>municipio</th>\n",
       "      <th>capital_uf</th>\n",
       "      <th>uf</th>\n",
       "      <th>regiao</th>\n",
       "      <th>microrregiao</th>\n",
       "      <th>mesorregiao</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>1100015</td>\n",
       "      <td>1991</td>\n",
       "      <td>0.329</td>\n",
       "      <td>0.112</td>\n",
       "      <td>0.617</td>\n",
       "      <td>0.516</td>\n",
       "      <td>Alta Floresta D'Oeste</td>\n",
       "      <td>0</td>\n",
       "      <td>Rondônia</td>\n",
       "      <td>Norte</td>\n",
       "      <td>Cacoal</td>\n",
       "      <td>Leste Rondoniense</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>1100015</td>\n",
       "      <td>2000</td>\n",
       "      <td>0.483</td>\n",
       "      <td>0.262</td>\n",
       "      <td>0.698</td>\n",
       "      <td>0.617</td>\n",
       "      <td>Alta Floresta D'Oeste</td>\n",
       "      <td>0</td>\n",
       "      <td>Rondônia</td>\n",
       "      <td>Norte</td>\n",
       "      <td>Cacoal</td>\n",
       "      <td>Leste Rondoniense</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>1100015</td>\n",
       "      <td>2010</td>\n",
       "      <td>0.641</td>\n",
       "      <td>0.526</td>\n",
       "      <td>0.763</td>\n",
       "      <td>0.657</td>\n",
       "      <td>Alta Floresta D'Oeste</td>\n",
       "      <td>0</td>\n",
       "      <td>Rondônia</td>\n",
       "      <td>Norte</td>\n",
       "      <td>Cacoal</td>\n",
       "      <td>Leste Rondoniense</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>1100023</td>\n",
       "      <td>1991</td>\n",
       "      <td>0.432</td>\n",
       "      <td>0.199</td>\n",
       "      <td>0.684</td>\n",
       "      <td>0.593</td>\n",
       "      <td>Ariquemes</td>\n",
       "      <td>0</td>\n",
       "      <td>Rondônia</td>\n",
       "      <td>Norte</td>\n",
       "      <td>Ariquemes</td>\n",
       "      <td>Leste Rondoniense</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>1100023</td>\n",
       "      <td>2000</td>\n",
       "      <td>0.556</td>\n",
       "      <td>0.343</td>\n",
       "      <td>0.742</td>\n",
       "      <td>0.674</td>\n",
       "      <td>Ariquemes</td>\n",
       "      <td>0</td>\n",
       "      <td>Rondônia</td>\n",
       "      <td>Norte</td>\n",
       "      <td>Ariquemes</td>\n",
       "      <td>Leste Rondoniense</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "   id_municipio   ano   idhm  idhm_e  idhm_l  idhm_r              municipio  \\\n",
       "0       1100015  1991  0.329   0.112   0.617   0.516  Alta Floresta D'Oeste   \n",
       "1       1100015  2000  0.483   0.262   0.698   0.617  Alta Floresta D'Oeste   \n",
       "2       1100015  2010  0.641   0.526   0.763   0.657  Alta Floresta D'Oeste   \n",
       "3       1100023  1991  0.432   0.199   0.684   0.593              Ariquemes   \n",
       "4       1100023  2000  0.556   0.343   0.742   0.674              Ariquemes   \n",
       "\n",
       "   capital_uf        uf regiao microrregiao        mesorregiao  \n",
       "0           0  Rondônia  Norte       Cacoal  Leste Rondoniense  \n",
       "1           0  Rondônia  Norte       Cacoal  Leste Rondoniense  \n",
       "2           0  Rondônia  Norte       Cacoal  Leste Rondoniense  \n",
       "3           0  Rondônia  Norte    Ariquemes  Leste Rondoniense  \n",
       "4           0  Rondônia  Norte    Ariquemes  Leste Rondoniense  "
      ]
     },
     "execution_count": 6,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Juntando as duas tabelas com base no ID municipal\n",
    "\n",
    "df_total_municipios = df_idh_municipios.merge(df_info_municipios, left_on=\"id_municipio\", right_on=\"id_municipio\")\n",
    "df_total_municipios.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "id": "polish-lemon",
   "metadata": {
    "scrolled": true
   },
   "outputs": [],
   "source": [
    "for ano in [1991, 2000, 2010]:\n",
    "\n",
    "    regiao = \"Norte\"\n",
    "    media = round(df_total_municipios.loc[(df_total_municipios[\"ano\"]==ano) & (\n",
    "                                          df_total_municipios[\"regiao\"]==\"Norte\")][\"idhm_e\"].mean(),2)\n",
    "    \n",
    "    std = round(df_total_municipios.loc[(df_total_municipios[\"ano\"]==ano) & (\n",
    "                                          df_total_municipios[\"regiao\"]==\"Norte\")][\"idhm_e\"].std(),2)\n",
    "  \n",
    "\n",
    "#     print(\"Ano: {} | Regiao: {}  |  Média: {}\".format(ano, regiao, media))\n",
    "#     print(\"Ano: {} | Regiao: {}  |  Std: {}\".format(ano, regiao, std))"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "affected-worthy",
   "metadata": {},
   "source": [
    "### <center>Tabela de dados estatísticos do IDHM educacional da Região Norte \n",
    "    \n",
    "||1991|2000|2010|\n",
    "|:---:|:---:|:---:|:---:|\n",
    "|Desvio Padrão|0.06|0.09|0.09|\n",
    "|Média |0.11|0.25|0.49|"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "id": "accomplished-christopher",
   "metadata": {},
   "outputs": [],
   "source": [
    "for ano in [1991, 2000, 2010]:\n",
    "\n",
    "    regiao = \"Sudeste\"\n",
    "    \n",
    "    media = round(df_total_municipios.loc[(df_total_municipios[\"ano\"]==ano) & (\n",
    "                                          df_total_municipios[\"regiao\"]==regiao)][\"idhm_e\"].mean(),2)\n",
    "    \n",
    "    std = round(df_total_municipios.loc[(df_total_municipios[\"ano\"]==ano) & (\n",
    "                                          df_total_municipios[\"regiao\"]==regiao)][\"idhm_e\"].std(),2)\n",
    "    \n",
    "\n",
    "#     print(\"Ano: {} | Regiao: {}  |  Média: {}\".format(ano, regiao, media))\n",
    "#     print(\"Ano: {} | Regiao: {}  |  Std: {}\".format(ano, regiao, std))"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "dying-smile",
   "metadata": {},
   "source": [
    "### <center>Tabela de dados estatísticos do IDHM educacional da Região Sudeste \n",
    "\n",
    "||1991|2000|2010|\n",
    "|:---:|:---:|:---:|:---:|\n",
    "|Desvio Padrão|0.09|0.10|0.08|\n",
    "|Média |0.22|0.43|0.61|"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "tight-detection",
   "metadata": {},
   "source": [
    "## Variação bruta dos índices de IDHM e IDHM educacional"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "id": "delayed-sudan",
   "metadata": {},
   "outputs": [],
   "source": [
    "evolucao_idh_municipio = { \"id_municipio\": list(df_total_municipios[\"id_municipio\"].unique()), \"idhm\": [], \"idhm_e\":[]}\n",
    "\n",
    "lista_var_percent_idhm = []\n",
    "lista_var_percent_idhm_e = []\n",
    "\n",
    "for id_municipio in df_total_municipios[\"id_municipio\"].unique():\n",
    "    \n",
    "    df_var_idhm = df_total_municipios.loc[df_total_municipios[\"id_municipio\"] == id_municipio, \"idhm\"].values\n",
    "    df_var_idhm_e = df_total_municipios.loc[df_total_municipios[\"id_municipio\"] == id_municipio, \"idhm_e\"].values\n",
    "    \n",
    "    var_percent_idhm = df_var_idhm[2]-df_var_idhm[1]   \n",
    "    var_percent_idhm_e = df_var_idhm_e[2]-df_var_idhm_e[1]\n",
    "    \n",
    "    lista_var_percent_idhm.append(var_percent_idhm)  \n",
    "    lista_var_percent_idhm_e.append(var_percent_idhm_e)\n",
    "    \n",
    "evolucao_idh_municipio[\"idhm\"] = lista_var_percent_idhm    \n",
    "evolucao_idh_municipio[\"idhm_e\"] = lista_var_percent_idhm_e "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "id": "auburn-confidentiality",
   "metadata": {
    "scrolled": true
   },
   "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>id_municipio</th>\n",
       "      <th>idhm</th>\n",
       "      <th>idhm_e</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>3319</th>\n",
       "      <td>3504701</td>\n",
       "      <td>0.030</td>\n",
       "      <td>0.015</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3499</th>\n",
       "      <td>3520426</td>\n",
       "      <td>0.031</td>\n",
       "      <td>0.066</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3389</th>\n",
       "      <td>3510807</td>\n",
       "      <td>0.031</td>\n",
       "      <td>0.059</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5026</th>\n",
       "      <td>4320305</td>\n",
       "      <td>0.036</td>\n",
       "      <td>0.099</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3772</th>\n",
       "      <td>3545159</td>\n",
       "      <td>0.040</td>\n",
       "      <td>0.085</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "      id_municipio   idhm  idhm_e\n",
       "3319       3504701  0.030   0.015\n",
       "3499       3520426  0.031   0.066\n",
       "3389       3510807  0.031   0.059\n",
       "5026       4320305  0.036   0.099\n",
       "3772       3545159  0.040   0.085"
      ]
     },
     "execution_count": 10,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df_evolucao_idh = pd.DataFrame.from_dict(evolucao_idh_municipio)\n",
    "\n",
    "df_evolucao_idh.sort_values(by=\"idhm\").head(5)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "id": "intended-expansion",
   "metadata": {},
   "outputs": [],
   "source": [
    "query_despesas = \\\n",
    "\"\"\"\n",
    "SELECT  id_municipio, sigla_uf, ano, coluna, conta, valor\n",
    "FROM `basedosdados.br_tesouro_finbra.despesas_por_funcao` \n",
    "WHERE coluna='Despesas Pagas' AND conta IN \n",
    "('Educação',\n",
    "'Ensino Fundamental',\n",
    "'Educação Infantil',\n",
    "'Educação de Jovens e Adultos',\n",
    "'Ensino Médio',\n",
    "'Educação Básica');\n",
    "\"\"\"\n",
    "\n",
    "df_despesas = get_data(\"br_tesouro_finbra.despesas_por_funcao.educacao\", query = query_despesas)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "id": "sharp-booking",
   "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>id_municipio</th>\n",
       "      <th>sigla_uf</th>\n",
       "      <th>ano</th>\n",
       "      <th>coluna</th>\n",
       "      <th>conta</th>\n",
       "      <th>valor</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>1100015</td>\n",
       "      <td>RO</td>\n",
       "      <td>2013</td>\n",
       "      <td>Despesas Pagas</td>\n",
       "      <td>Educação</td>\n",
       "      <td>11559592.81</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>1100015</td>\n",
       "      <td>RO</td>\n",
       "      <td>2013</td>\n",
       "      <td>Despesas Pagas</td>\n",
       "      <td>Ensino Fundamental</td>\n",
       "      <td>10746571.41</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>1100015</td>\n",
       "      <td>RO</td>\n",
       "      <td>2013</td>\n",
       "      <td>Despesas Pagas</td>\n",
       "      <td>Educação Infantil</td>\n",
       "      <td>813021.40</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>1100023</td>\n",
       "      <td>RO</td>\n",
       "      <td>2013</td>\n",
       "      <td>Despesas Pagas</td>\n",
       "      <td>Educação</td>\n",
       "      <td>50565537.62</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>1100023</td>\n",
       "      <td>RO</td>\n",
       "      <td>2013</td>\n",
       "      <td>Despesas Pagas</td>\n",
       "      <td>Ensino Fundamental</td>\n",
       "      <td>34560147.34</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "   id_municipio sigla_uf   ano          coluna               conta  \\\n",
       "0       1100015       RO  2013  Despesas Pagas            Educação   \n",
       "1       1100015       RO  2013  Despesas Pagas  Ensino Fundamental   \n",
       "2       1100015       RO  2013  Despesas Pagas   Educação Infantil   \n",
       "3       1100023       RO  2013  Despesas Pagas            Educação   \n",
       "4       1100023       RO  2013  Despesas Pagas  Ensino Fundamental   \n",
       "\n",
       "         valor  \n",
       "0  11559592.81  \n",
       "1  10746571.41  \n",
       "2    813021.40  \n",
       "3  50565537.62  \n",
       "4  34560147.34  "
      ]
     },
     "execution_count": 12,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df_despesas.head(5)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "growing-calibration",
   "metadata": {},
   "source": [
    "## Correção dos valores baseados no índice IGP-M \n",
    "\n",
    "Para comparar os valores investidos em diferentes anos, optamos por fazer correções baseadas no índice IGP-M (Índice Geral de Preços – Mercado). A fim de encontrar esse coeficiente de correção, utilizamos a [calculadora disponibilizada pelo Banco Central](https://www3.bcb.gov.br/CALCIDADAO/publico/exibirFormCorrecaoValores.do?method=exibirFormCorrecaoValores).  \n",
    "\n",
    "O valor encontrado foi de 30.46% num intervalo de Janeiro de 2013 a Janeiro de 2017\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "id": "blessed-berry",
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
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       "\n",
       "    .dataframe tbody tr th {\n",
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       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
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       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>id_municipio</th>\n",
       "      <th>municipio</th>\n",
       "      <th>sigla_uf</th>\n",
       "      <th>ano</th>\n",
       "      <th>rede</th>\n",
       "      <th>ensino</th>\n",
       "      <th>ideb</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>38135</th>\n",
       "      <td>3159357</td>\n",
       "      <td>Santa Rita de Minas</td>\n",
       "      <td>MG</td>\n",
       "      <td>2005</td>\n",
       "      <td>municipal</td>\n",
       "      <td>fundamental</td>\n",
       "      <td>4.3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>45965</th>\n",
       "      <td>3532827</td>\n",
       "      <td>Nova Campina</td>\n",
       "      <td>SP</td>\n",
       "      <td>2013</td>\n",
       "      <td>municipal</td>\n",
       "      <td>fundamental</td>\n",
       "      <td>5.7</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9356</th>\n",
       "      <td>2203255</td>\n",
       "      <td>Curralinhos</td>\n",
       "      <td>PI</td>\n",
       "      <td>2019</td>\n",
       "      <td>municipal</td>\n",
       "      <td>fundamental</td>\n",
       "      <td>3.6</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>57440</th>\n",
       "      <td>4313409</td>\n",
       "      <td>Novo Hamburgo</td>\n",
       "      <td>RS</td>\n",
       "      <td>2011</td>\n",
       "      <td>municipal</td>\n",
       "      <td>fundamental</td>\n",
       "      <td>5.4</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15011</th>\n",
       "      <td>2403608</td>\n",
       "      <td>Extremoz</td>\n",
       "      <td>RN</td>\n",
       "      <td>2017</td>\n",
       "      <td>municipal</td>\n",
       "      <td>fundamental</td>\n",
       "      <td>4.1</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "       id_municipio            municipio sigla_uf   ano       rede  \\\n",
       "38135       3159357  Santa Rita de Minas       MG  2005  municipal   \n",
       "45965       3532827         Nova Campina       SP  2013  municipal   \n",
       "9356        2203255          Curralinhos       PI  2019  municipal   \n",
       "57440       4313409        Novo Hamburgo       RS  2011  municipal   \n",
       "15011       2403608             Extremoz       RN  2017  municipal   \n",
       "\n",
       "            ensino  ideb  \n",
       "38135  fundamental   4.3  \n",
       "45965  fundamental   5.7  \n",
       "9356   fundamental   3.6  \n",
       "57440  fundamental   5.4  \n",
       "15011  fundamental   4.1  "
      ]
     },
     "execution_count": 13,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "query_ideb = \"SELECT id_municipio, municipio, estado_abrev AS sigla_uf, ano, rede, ensino, ideb FROM `basedosdados.br_inep_ideb.municipio`;\"\n",
    "\n",
    "df_ideb_mun = get_data(\"br_inep_ideb.municipio.reduzido\", query = query_ideb)\n",
    "\n",
    "df_ideb_mun = df_ideb_mun.loc[((df_ideb_mun[\"ensino\"]==\"fundamental\") &  \n",
    "             (df_ideb_mun[\"rede\"]==\"municipal\") & \n",
    "             (df_ideb_mun[\"ano\"]<2021)) &~\n",
    "             (pd.isna(df_ideb_mun[\"ideb\"]))].reset_index(drop=True)\n",
    "\n",
    "df_ideb_mun.sample(5).head(5)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "korean-jordan",
   "metadata": {},
   "source": [
    "Despesas apenas com o Ensino Fundamental. Esse filtro foi feito a fim de explorar correlações com a base do Ideb (focada no ensino básico). "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "id": "specific-loading",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
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       "    }\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>id_municipio</th>\n",
       "      <th>sigla_uf</th>\n",
       "      <th>ano</th>\n",
       "      <th>coluna</th>\n",
       "      <th>conta</th>\n",
       "      <th>valor</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>27</th>\n",
       "      <td>1100155</td>\n",
       "      <td>RO</td>\n",
       "      <td>2013</td>\n",
       "      <td>Despesas Pagas</td>\n",
       "      <td>Ensino Fundamental</td>\n",
       "      <td>11399481.79</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8908</th>\n",
       "      <td>4302402</td>\n",
       "      <td>RS</td>\n",
       "      <td>2017</td>\n",
       "      <td>Despesas Pagas</td>\n",
       "      <td>Ensino Fundamental</td>\n",
       "      <td>5343818.18</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10642</th>\n",
       "      <td>5221304</td>\n",
       "      <td>GO</td>\n",
       "      <td>2013</td>\n",
       "      <td>Despesas Pagas</td>\n",
       "      <td>Ensino Fundamental</td>\n",
       "      <td>1993986.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6116</th>\n",
       "      <td>3304508</td>\n",
       "      <td>RJ</td>\n",
       "      <td>2017</td>\n",
       "      <td>Despesas Pagas</td>\n",
       "      <td>Ensino Fundamental</td>\n",
       "      <td>10335208.75</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6456</th>\n",
       "      <td>3513306</td>\n",
       "      <td>SP</td>\n",
       "      <td>2013</td>\n",
       "      <td>Despesas Pagas</td>\n",
       "      <td>Ensino Fundamental</td>\n",
       "      <td>471915.26</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "       id_municipio sigla_uf   ano          coluna               conta  \\\n",
       "27          1100155       RO  2013  Despesas Pagas  Ensino Fundamental   \n",
       "8908        4302402       RS  2017  Despesas Pagas  Ensino Fundamental   \n",
       "10642       5221304       GO  2013  Despesas Pagas  Ensino Fundamental   \n",
       "6116        3304508       RJ  2017  Despesas Pagas  Ensino Fundamental   \n",
       "6456        3513306       SP  2013  Despesas Pagas  Ensino Fundamental   \n",
       "\n",
       "             valor  \n",
       "27     11399481.79  \n",
       "8908    5343818.18  \n",
       "10642   1993986.00  \n",
       "6116   10335208.75  \n",
       "6456     471915.26  "
      ]
     },
     "execution_count": 14,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "despesas_fundamental = df_despesas.loc[(df_despesas[\"conta\"]==\"Ensino Fundamental\") & \n",
    "                                                 (df_despesas[\"ano\"].isin([2013,2017]))].sort_values(by=[\"id_municipio\", \"ano\"]).dropna().reset_index(drop=True)\n",
    "\n",
    "despesas_fundamental.sample(5).head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "id": "pediatric-cooperation",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
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       "    }\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>id_municipio</th>\n",
       "      <th>ano</th>\n",
       "      <th>populacao</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>1100015</td>\n",
       "      <td>2013</td>\n",
       "      <td>25728.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>1100015</td>\n",
       "      <td>2017</td>\n",
       "      <td>25437.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>1100023</td>\n",
       "      <td>2013</td>\n",
       "      <td>101269.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>1100023</td>\n",
       "      <td>2017</td>\n",
       "      <td>107345.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>1100031</td>\n",
       "      <td>2013</td>\n",
       "      <td>6495.0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "   id_municipio   ano  populacao\n",
       "0       1100015  2013    25728.0\n",
       "1       1100015  2017    25437.0\n",
       "2       1100023  2013   101269.0\n",
       "3       1100023  2017   107345.0\n",
       "4       1100031  2013     6495.0"
      ]
     },
     "execution_count": 15,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "populacao_mun = get_data(\"br_ibge_populacao.municipios\")\n",
    "populacao_mun = populacao_mun.loc[populacao_mun[\"ano\"].isin([2013,2017])].sort_values(by=[\"id_municipio\", \"ano\"]).reset_index(drop=True)\n",
    "populacao_mun.head(5)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "id": "surgical-acoustic",
   "metadata": {},
   "outputs": [],
   "source": [
    "MUN_IDS = get_mun_ids()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "id": "accessory-glenn",
   "metadata": {},
   "outputs": [],
   "source": [
    "def format_tabela_despesas_ideb(ideb, despesas, populacao):\n",
    "    \n",
    "    igpm = 30.46\n",
    "    tabela_despesas_ideb = pd.DataFrame(columns=[\"id_municipio\", \n",
    "                                          \"municipio\", \n",
    "                                          \"sigla_uf\",\n",
    "                                          \"regiao\",\n",
    "                                          \"populacao_2013\",\n",
    "                                          \"populacao_2017\",\n",
    "                                          \"populacao_diff\",\n",
    "                                          \"rede\", \n",
    "                                          \"ensino\", \n",
    "                                          \"ideb_2013\", \n",
    "                                          \"ideb_2019\", \n",
    "                                          \"ideb_diff\", \n",
    "                                          \"valor_2013\", \n",
    "                                          \"valor_2017\", \n",
    "                                          \"valor_diff\", \n",
    "                                          \"coeficiente_efetividade\", ])\n",
    "    for id in list(MUN_IDS.index):\n",
    "        mun_ideb = ideb.loc[ideb[\"id_municipio\"]==id]\n",
    "        mun_despesas = despesas.loc[despesas[\"id_municipio\"]==id]\n",
    "        mun_populacao = populacao.loc[populacao[\"id_municipio\"]==id]\n",
    "\n",
    "        if len(mun_ideb) == 0 or len(mun_despesas) == 0 or len(mun_populacao) == 0: continue\n",
    "\n",
    "        try:\n",
    "            mun_populacao_2013 = int(max(list(mun_populacao.loc[mun_populacao[\"ano\"]==2013][\"populacao\"])))\n",
    "        except ValueError:\n",
    "            mun_populacao_2013 = float(\"NaN\")\n",
    "        try:\n",
    "            mun_populacao_2017 = int(max(list(mun_populacao.loc[mun_populacao[\"ano\"]==2017][\"populacao\"])))\n",
    "        except ValueError:\n",
    "            mun_populacao_2017 = float(\"NaN\")\n",
    "\n",
    "        try:\n",
    "            mun_ideb_2013 = max(list(mun_ideb.loc[mun_ideb[\"ano\"]==2013][\"ideb\"]))\n",
    "        except ValueError:\n",
    "            mun_ideb_2013 = float(\"NaN\")\n",
    "        try:\n",
    "            mun_ideb_2019 = max(list(mun_ideb.loc[mun_ideb[\"ano\"]==2019][\"ideb\"]))\n",
    "        except ValueError:\n",
    "            mun_ideb_2019 = float(\"NaN\")\n",
    "\n",
    "        try:\n",
    "            mun_despesas_2013 = round(max(list(mun_despesas.loc[mun_despesas[\"ano\"]==2013][\"valor\"]))/mun_populacao_2013, 2)\n",
    "        except ValueError:\n",
    "            mun_despesas_2013 = float(\"NaN\")\n",
    "        try:\n",
    "            mun_despesas_2017 = round(max(list(mun_despesas.loc[mun_despesas[\"ano\"]==2017][\"valor\"]))/mun_populacao_2017, 2)\n",
    "        except ValueError:\n",
    "            mun_despesas_2017 = float(\"NaN\")\n",
    "\n",
    "        try:\n",
    "            coef = round((mun_ideb_2019 - mun_ideb_2013)/(mun_despesas_2017 - mun_despesas_2013),8)\n",
    "        except:\n",
    "            coef = float(\"NaN\")\n",
    "\n",
    "        tabela_despesas_ideb = tabela_despesas_ideb.append({\n",
    "            \"id_municipio\": id,\n",
    "            \"municipio\": mun_ideb.iloc[0][\"municipio\"],\n",
    "            \"sigla_uf\": mun_ideb[\"sigla_uf\"].iloc[0],\n",
    "            \"regiao\": MUN_IDS.loc[id][\"regiao\"],\n",
    "            \"rede\": mun_ideb[\"rede\"].iloc[0],\n",
    "            \"ensino\": mun_ideb[\"ensino\"].iloc[0],\n",
    "            \"populacao_2013\": mun_populacao_2013,\n",
    "            \"populacao_2017\": mun_populacao_2017,\n",
    "            \"populacao_diff\": mun_populacao_2017 - mun_populacao_2013,\n",
    "            \"ideb_2013\": mun_ideb_2013,\n",
    "            \"ideb_2019\": mun_ideb_2019,\n",
    "            \"ideb_diff\": mun_ideb_2019 - mun_ideb_2013,\n",
    "            \"valor_2013\": mun_despesas_2013,\n",
    "            \"valor_2017\": mun_despesas_2017,\n",
    "            \"valor_diff\": mun_despesas_2017 - mun_despesas_2013,\n",
    "            \"valor_diff_percent\": round(((mun_despesas_2017/mun_despesas_2013)-1)*100,2) - igpm,\n",
    "            \"coeficiente_efetividade\": coef\n",
    "        }, ignore_index=True)\n",
    "    return tabela_despesas_ideb\n",
    "\n",
    "\n",
    "tabela_despesas_ideb = format_tabela_despesas_ideb(df_ideb_mun, despesas_fundamental, populacao_mun)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "id": "permanent-bidding",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
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       "\n",
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       "        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>id_municipio</th>\n",
       "      <th>municipio</th>\n",
       "      <th>sigla_uf</th>\n",
       "      <th>regiao</th>\n",
       "      <th>populacao_2013</th>\n",
       "      <th>populacao_2017</th>\n",
       "      <th>populacao_diff</th>\n",
       "      <th>rede</th>\n",
       "      <th>ensino</th>\n",
       "      <th>ideb_2013</th>\n",
       "      <th>ideb_2019</th>\n",
       "      <th>ideb_diff</th>\n",
       "      <th>valor_2013</th>\n",
       "      <th>valor_2017</th>\n",
       "      <th>valor_diff</th>\n",
       "      <th>coeficiente_efetividade</th>\n",
       "      <th>valor_diff_percent</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>1100080</td>\n",
       "      <td>Costa Marques</td>\n",
       "      <td>RO</td>\n",
       "      <td>Norte</td>\n",
       "      <td>15853</td>\n",
       "      <td>17400</td>\n",
       "      <td>1547</td>\n",
       "      <td>municipal</td>\n",
       "      <td>fundamental</td>\n",
       "      <td>5.4</td>\n",
       "      <td>4.9</td>\n",
       "      <td>-0.5</td>\n",
       "      <td>NaN</td>\n",
       "      <td>534.12</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>1100106</td>\n",
       "      <td>Guajará-Mirim</td>\n",
       "      <td>RO</td>\n",
       "      <td>Norte</td>\n",
       "      <td>45761</td>\n",
       "      <td>47451</td>\n",
       "      <td>1690</td>\n",
       "      <td>municipal</td>\n",
       "      <td>fundamental</td>\n",
       "      <td>4.8</td>\n",
       "      <td>5.0</td>\n",
       "      <td>0.2</td>\n",
       "      <td>279.46</td>\n",
       "      <td>334.39</td>\n",
       "      <td>54.93</td>\n",
       "      <td>0.003641</td>\n",
       "      <td>-10.80</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>1100205</td>\n",
       "      <td>Porto Velho</td>\n",
       "      <td>RO</td>\n",
       "      <td>Norte</td>\n",
       "      <td>484992</td>\n",
       "      <td>519436</td>\n",
       "      <td>34444</td>\n",
       "      <td>municipal</td>\n",
       "      <td>fundamental</td>\n",
       "      <td>4.4</td>\n",
       "      <td>5.3</td>\n",
       "      <td>0.9</td>\n",
       "      <td>347.61</td>\n",
       "      <td>327.03</td>\n",
       "      <td>-20.58</td>\n",
       "      <td>-0.043732</td>\n",
       "      <td>-36.38</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>1100338</td>\n",
       "      <td>Nova Mamoré</td>\n",
       "      <td>RO</td>\n",
       "      <td>Norte</td>\n",
       "      <td>26227</td>\n",
       "      <td>28891</td>\n",
       "      <td>2664</td>\n",
       "      <td>municipal</td>\n",
       "      <td>fundamental</td>\n",
       "      <td>4.9</td>\n",
       "      <td>4.8</td>\n",
       "      <td>-0.1</td>\n",
       "      <td>381.46</td>\n",
       "      <td>594.02</td>\n",
       "      <td>212.56</td>\n",
       "      <td>-0.000470</td>\n",
       "      <td>25.26</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>1100452</td>\n",
       "      <td>Buritis</td>\n",
       "      <td>RO</td>\n",
       "      <td>Norte</td>\n",
       "      <td>36555</td>\n",
       "      <td>39044</td>\n",
       "      <td>2489</td>\n",
       "      <td>municipal</td>\n",
       "      <td>fundamental</td>\n",
       "      <td>5.4</td>\n",
       "      <td>5.5</td>\n",
       "      <td>0.1</td>\n",
       "      <td>451.04</td>\n",
       "      <td>626.96</td>\n",
       "      <td>175.92</td>\n",
       "      <td>0.000568</td>\n",
       "      <td>8.54</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>5369</th>\n",
       "      <td>3169604</td>\n",
       "      <td>Tupaciguara</td>\n",
       "      <td>MG</td>\n",
       "      <td>Sudeste</td>\n",
       "      <td>25171</td>\n",
       "      <td>25538</td>\n",
       "      <td>367</td>\n",
       "      <td>municipal</td>\n",
       "      <td>fundamental</td>\n",
       "      <td>6.0</td>\n",
       "      <td>6.2</td>\n",
       "      <td>0.2</td>\n",
       "      <td>380.81</td>\n",
       "      <td>719.22</td>\n",
       "      <td>338.41</td>\n",
       "      <td>0.000591</td>\n",
       "      <td>58.41</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5370</th>\n",
       "      <td>3170107</td>\n",
       "      <td>Uberaba</td>\n",
       "      <td>MG</td>\n",
       "      <td>Sudeste</td>\n",
       "      <td>315360</td>\n",
       "      <td>328272</td>\n",
       "      <td>12912</td>\n",
       "      <td>municipal</td>\n",
       "      <td>fundamental</td>\n",
       "      <td>5.6</td>\n",
       "      <td>6.0</td>\n",
       "      <td>0.4</td>\n",
       "      <td>195.32</td>\n",
       "      <td>293.67</td>\n",
       "      <td>98.35</td>\n",
       "      <td>0.004067</td>\n",
       "      <td>19.89</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5371</th>\n",
       "      <td>3170206</td>\n",
       "      <td>Uberlândia</td>\n",
       "      <td>MG</td>\n",
       "      <td>Sudeste</td>\n",
       "      <td>646673</td>\n",
       "      <td>676613</td>\n",
       "      <td>29940</td>\n",
       "      <td>municipal</td>\n",
       "      <td>fundamental</td>\n",
       "      <td>5.7</td>\n",
       "      <td>6.0</td>\n",
       "      <td>0.3</td>\n",
       "      <td>219.41</td>\n",
       "      <td>274.29</td>\n",
       "      <td>54.88</td>\n",
       "      <td>0.005466</td>\n",
       "      <td>-5.45</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5372</th>\n",
       "      <td>3170438</td>\n",
       "      <td>União de Minas</td>\n",
       "      <td>MG</td>\n",
       "      <td>Sudeste</td>\n",
       "      <td>4498</td>\n",
       "      <td>4452</td>\n",
       "      <td>-46</td>\n",
       "      <td>municipal</td>\n",
       "      <td>fundamental</td>\n",
       "      <td>5.4</td>\n",
       "      <td>5.9</td>\n",
       "      <td>0.5</td>\n",
       "      <td>544.36</td>\n",
       "      <td>505.17</td>\n",
       "      <td>-39.19</td>\n",
       "      <td>-0.012758</td>\n",
       "      <td>-37.66</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5373</th>\n",
       "      <td>3171105</td>\n",
       "      <td>Veríssimo</td>\n",
       "      <td>MG</td>\n",
       "      <td>Sudeste</td>\n",
       "      <td>3733</td>\n",
       "      <td>3911</td>\n",
       "      <td>178</td>\n",
       "      <td>municipal</td>\n",
       "      <td>fundamental</td>\n",
       "      <td>5.9</td>\n",
       "      <td>5.1</td>\n",
       "      <td>-0.8</td>\n",
       "      <td>500.63</td>\n",
       "      <td>742.09</td>\n",
       "      <td>241.46</td>\n",
       "      <td>-0.003313</td>\n",
       "      <td>17.77</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>5374 rows × 17 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "     id_municipio       municipio sigla_uf   regiao populacao_2013  \\\n",
       "0         1100080   Costa Marques       RO    Norte          15853   \n",
       "1         1100106   Guajará-Mirim       RO    Norte          45761   \n",
       "2         1100205     Porto Velho       RO    Norte         484992   \n",
       "3         1100338     Nova Mamoré       RO    Norte          26227   \n",
       "4         1100452         Buritis       RO    Norte          36555   \n",
       "...           ...             ...      ...      ...            ...   \n",
       "5369      3169604     Tupaciguara       MG  Sudeste          25171   \n",
       "5370      3170107         Uberaba       MG  Sudeste         315360   \n",
       "5371      3170206      Uberlândia       MG  Sudeste         646673   \n",
       "5372      3170438  União de Minas       MG  Sudeste           4498   \n",
       "5373      3171105       Veríssimo       MG  Sudeste           3733   \n",
       "\n",
       "     populacao_2017 populacao_diff       rede       ensino  ideb_2013  \\\n",
       "0             17400           1547  municipal  fundamental        5.4   \n",
       "1             47451           1690  municipal  fundamental        4.8   \n",
       "2            519436          34444  municipal  fundamental        4.4   \n",
       "3             28891           2664  municipal  fundamental        4.9   \n",
       "4             39044           2489  municipal  fundamental        5.4   \n",
       "...             ...            ...        ...          ...        ...   \n",
       "5369          25538            367  municipal  fundamental        6.0   \n",
       "5370         328272          12912  municipal  fundamental        5.6   \n",
       "5371         676613          29940  municipal  fundamental        5.7   \n",
       "5372           4452            -46  municipal  fundamental        5.4   \n",
       "5373           3911            178  municipal  fundamental        5.9   \n",
       "\n",
       "      ideb_2019  ideb_diff  valor_2013  valor_2017  valor_diff  \\\n",
       "0           4.9       -0.5         NaN      534.12         NaN   \n",
       "1           5.0        0.2      279.46      334.39       54.93   \n",
       "2           5.3        0.9      347.61      327.03      -20.58   \n",
       "3           4.8       -0.1      381.46      594.02      212.56   \n",
       "4           5.5        0.1      451.04      626.96      175.92   \n",
       "...         ...        ...         ...         ...         ...   \n",
       "5369        6.2        0.2      380.81      719.22      338.41   \n",
       "5370        6.0        0.4      195.32      293.67       98.35   \n",
       "5371        6.0        0.3      219.41      274.29       54.88   \n",
       "5372        5.9        0.5      544.36      505.17      -39.19   \n",
       "5373        5.1       -0.8      500.63      742.09      241.46   \n",
       "\n",
       "      coeficiente_efetividade  valor_diff_percent  \n",
       "0                         NaN                 NaN  \n",
       "1                    0.003641              -10.80  \n",
       "2                   -0.043732              -36.38  \n",
       "3                   -0.000470               25.26  \n",
       "4                    0.000568                8.54  \n",
       "...                       ...                 ...  \n",
       "5369                 0.000591               58.41  \n",
       "5370                 0.004067               19.89  \n",
       "5371                 0.005466               -5.45  \n",
       "5372                -0.012758              -37.66  \n",
       "5373                -0.003313               17.77  \n",
       "\n",
       "[5374 rows x 17 columns]"
      ]
     },
     "execution_count": 18,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "tabela_despesas_ideb"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "id": "massive-poverty",
   "metadata": {
    "scrolled": false
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Média no crescimento percentual de investimentos em Educação (Ensino Fundamental): 81.46%\n"
     ]
    }
   ],
   "source": [
    "media_brasil = round(tabela_despesas_ideb[\"valor_diff_percent\"].mean(),2)\n",
    "\n",
    "print(\"Média no crescimento percentual de investimentos em Educação (Ensino Fundamental): {}%\".format(media_brasil))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "id": "comic-beach",
   "metadata": {},
   "outputs": [],
   "source": [
    "for regiao in tabela_despesas_ideb[\"regiao\"].unique():\n",
    "    media = tabela_despesas_ideb.loc[tabela_despesas_ideb[\"regiao\"]==regiao][\"valor_diff_percent\"].mean()\n",
    "    #print(\"{}: Média {}\".format(regiao, media))\n",
    "    "
   ]
  },
  {
   "cell_type": "markdown",
   "id": "fixed-secret",
   "metadata": {},
   "source": [
    "### <center>Tabela de dados estatísticos da média do crescimento percentual por região no Brasil\n",
    "\n",
    "\n",
    "||Brasil|Norte|Nordeste|Sul|Sudeste|Centro-Oeste|\n",
    "|:---:|:---:|:---:|:---:|:---:|:---:|:---:|\n",
    "|Média | 81.46 % | 43.28 % |50.47 % |64.30 % |153.10 % | 12.12 % |"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "structural-microphone",
   "metadata": {},
   "source": [
    "# Investimento em educação por pessoa"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "id": "public-reflection",
   "metadata": {},
   "outputs": [
    {
     "data": {
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\n",
      "text/plain": [
       "<Figure size 1080x540 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "sns.set_theme(style=\"darkgrid\")\n",
    "\n",
    "fig, ax = plt.subplots(figsize = (15,7.5))\n",
    "\n",
    "ax = sns.kdeplot(data = tabela_despesas_ideb, \n",
    "                  x= \"valor_2017\",\n",
    "                  hue = 'regiao',\n",
    "                  palette = \"tab10\",\n",
    "                  fill = True, \n",
    "                  common_norm = False, \n",
    "                  alpha = .5, \n",
    "                  linewidth = 1.5)\n",
    "\n",
    "fig.suptitle('Análise FINBRA 2017', fontsize=25)\n",
    "\n",
    "ax.xaxis.set_label_text('Investimento em educação por pessoa')\n",
    "\n",
    "ax.yaxis.set_label_text('Densidade')\n",
    "\n",
    "plt.savefig(\"./Imagens/analise_finbra_2017.png\", dpi=400)\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "id": "prepared-force",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1080x540 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "sns.set_theme(style=\"darkgrid\")\n",
    "\n",
    "fig, ax = plt.subplots(figsize = (15,7.5))\n",
    "\n",
    "ax = sns.kdeplot(data = tabela_despesas_ideb, \n",
    "                  x= \"ideb_2013\",\n",
    "                  hue = 'regiao',\n",
    "                  palette = \"tab10\",\n",
    "                  fill = True, \n",
    "                  common_norm = False, \n",
    "                  alpha = .5, \n",
    "                  linewidth = 1.5)\n",
    "\n",
    "\n",
    "ax.set_xlim(0, 10)\n",
    "\n",
    "ax.xaxis.set_label_text('Ideb')\n",
    "\n",
    "ax.yaxis.set_label_text('Densidade')\n",
    "\n",
    "\n",
    "fig.suptitle('Distribuição do Ideb por Região (2013)', fontsize=25)\n",
    "\n",
    "\n",
    "plt.savefig(\"./Imagens/dist_ideb_regiao_2013.png\", dpi=400)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "id": "informational-faith",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1080x540 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "sns.set_theme(style=\"darkgrid\")\n",
    "\n",
    "fig, ax = plt.subplots(figsize = (15,7.5))\n",
    "\n",
    "ax = sns.kdeplot(data = tabela_despesas_ideb, \n",
    "                  x= \"ideb_2019\",\n",
    "                  hue = 'regiao',\n",
    "                  palette = \"tab10\",\n",
    "                  fill = True, \n",
    "                  common_norm = False, \n",
    "                  alpha = .5, \n",
    "                  linewidth = 1.5)\n",
    "\n",
    "\n",
    "ax.set_xlim(0, 10)\n",
    "\n",
    "ax.xaxis.set_label_text('Ideb')\n",
    "\n",
    "ax.yaxis.set_label_text('Densidade')\n",
    "\n",
    "fig.suptitle('Distribuição do Ideb por Região (2019)', fontsize=25)\n",
    "\n",
    "plt.savefig(\"./Imagens/dist_ideb_regiao_2019.png\", dpi=400)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "id": "martial-colors",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1080x540 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "sns.set_theme(style=\"darkgrid\")\n",
    "\n",
    "fig, ax = plt.subplots(figsize = (15,7.5))\n",
    "\n",
    "ax = sns.kdeplot(data = tabela_despesas_ideb.loc[tabela_despesas_ideb[\"regiao\"]==\"Norte\"], \n",
    "                  x= \"ideb_2013\",\n",
    "                  palette = \"tab10\",\n",
    "                  fill = True, \n",
    "                  common_norm = False, \n",
    "                  alpha = .5, \n",
    "                  linewidth = 1.5, \n",
    "                 legend=\"2013\")\n",
    "\n",
    "ax = sns.kdeplot(data = tabela_despesas_ideb.loc[tabela_despesas_ideb[\"regiao\"]==\"Norte\"], \n",
    "                  x= \"ideb_2019\",\n",
    "                  color = 'red',\n",
    "                  palette = \"tab10\",\n",
    "                  fill = True, \n",
    "                  common_norm = False, \n",
    "                  alpha = .5, \n",
    "                  linewidth = 1.5, legend=\"2019\")\n",
    "\n",
    "\n",
    "# ax0.legend(['A simple line'])\n",
    "ax.legend([\"2013\",\"2019\"])\n",
    "\n",
    "\n",
    "ax.set_xlim(0, 10)\n",
    "ax.set_xlim(0, 10)\n",
    "\n",
    "ax.xaxis.set_label_text('Ideb')\n",
    "\n",
    "ax.yaxis.set_label_text('Densidade')\n",
    "\n",
    "\n",
    "\n",
    "fig.suptitle('Distribuição do Ideb na Região Norte (2013 - 2019)', fontsize=25)\n",
    "\n",
    "\n",
    "plt.savefig(\"./Imagens/dist_ideb_norte_2013_2019.png\", dpi=400)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 25,
   "id": "lucky-candidate",
   "metadata": {
    "scrolled": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.lines.Line2D at 0x2293c257880>"
      ]
     },
     "execution_count": 25,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1080x540 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "sns.set_theme(style=\"darkgrid\")\n",
    "\n",
    "fig, ax = plt.subplots(figsize = (15,7.5))\n",
    "\n",
    "ax = sns.kdeplot(data = tabela_despesas_ideb, \n",
    "                  x= \"ideb_diff\",\n",
    "                  hue = 'regiao',\n",
    "                  palette = \"tab10\",\n",
    "                  fill = True, \n",
    "                  common_norm = False, \n",
    "                  alpha = .5, \n",
    "                  linewidth = 1.5)\n",
    "\n",
    "\n",
    "media = tabela_despesas_ideb[\"ideb_diff\"].mean()\n",
    "dp =  tabela_despesas_ideb[\"ideb_diff\"].std()\n",
    "\n",
    "x_ = np.linspace(media - 5*dp, media + 5*dp, 100)\n",
    "\n",
    "\n",
    "plt.plot(x_, \n",
    "         stats.norm.pdf(x_, 0, dp),\n",
    "         '--',\n",
    "         c='y')\n",
    "ax.set_xlim(-4, 4)\n",
    "\n",
    "ax.xaxis.set_label_text('Diferença Ideb')\n",
    "\n",
    "ax.yaxis.set_label_text('Densidade')\n",
    "\n",
    "\n",
    "\n",
    "fig.suptitle('Distribuição da evolução do Ideb por Região', fontsize=25)\n",
    "\n",
    "\n",
    "plt.savefig(\"./Imagens/dist_evolucao_ideb_regiao.png\", dpi=400)\n",
    "\n",
    "\n",
    "ax.axvline(x=tabela_despesas_ideb[\"ideb_diff\"].mean(),linewidth=2, color='r')\n",
    "\n",
    "#fig.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 26,
   "id": "generic-million",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Ideb Brasil Médio:  0.7186337914308811\n"
     ]
    }
   ],
   "source": [
    "print(\"Ideb Brasil Médio: \", tabela_despesas_ideb[\"ideb_diff\"].mean())"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 27,
   "id": "macro-boating",
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Regiao: Norte  |  Média: 0.56\n",
      "Regiao: Nordeste  |  Média: 0.98\n",
      "Regiao: Sudeste  |  Média: 0.55\n",
      "Regiao: Sul  |  Média: 0.65\n",
      "Regiao: Centro-Oeste  |  Média: 0.53\n"
     ]
    }
   ],
   "source": [
    "for regiao in tabela_despesas_ideb[\"regiao\"].unique():\n",
    "    \n",
    "    media = round(tabela_despesas_ideb.loc[tabela_despesas_ideb[\"regiao\"]==regiao][\"ideb_diff\"].mean(),2)\n",
    "    \n",
    "    print(\"Regiao: {}  |  Média: {}\".format(regiao, media))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 28,
   "id": "digital-stationery",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Regiao: Norte  |  Std: 0.56\n",
      "Regiao: Nordeste  |  Std: 0.66\n",
      "Regiao: Sudeste  |  Std: 0.59\n",
      "Regiao: Sul  |  Std: 0.64\n",
      "Regiao: Centro-Oeste  |  Std: 0.53\n"
     ]
    }
   ],
   "source": [
    "for regiao in tabela_despesas_ideb[\"regiao\"].unique():\n",
    "\n",
    "    std = round(tabela_despesas_ideb.loc[tabela_despesas_ideb[\"regiao\"]==regiao][\"ideb_diff\"].std(),2)\n",
    "    \n",
    "    print(\"Regiao: {}  |  Std: {}\".format(regiao, std))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 29,
   "id": "radical-photographer",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Regiao: Brasil  |  Média: 0.72\n",
      "Regiao: Brasil  |  Std: 0.65\n"
     ]
    }
   ],
   "source": [
    "media = round(tabela_despesas_ideb[\"ideb_diff\"].mean(),2)\n",
    "std = round(tabela_despesas_ideb[\"ideb_diff\"].std(),2)\n",
    "\n",
    "print(\"Regiao: {}  |  Média: {}\".format(\"Brasil\", media))\n",
    "print(\"Regiao: {}  |  Std: {}\".format(\"Brasil\", std))"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "cleared-morocco",
   "metadata": {},
   "source": [
    "\n",
    "\n",
    "||Brasil|Norte|Nordeste|Sul|Sudeste|Centro-Oeste|\n",
    "|:---:|:---:|:---:|:---:|:---:|:---:|:---:|\n",
    "|Desvio Padrão |0.65|0.56|0.66|0.64|0.59|0.53|\n",
    "|Média |0.72|0.56|0.98|0.65|0.55|0.53|"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 30,
   "id": "british-vision",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<AxesSubplot:xlabel='valor_diff', ylabel='ideb_diff'>"
      ]
     },
     "execution_count": 30,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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8n5KSXjz00ON8//s/5rPPPmXy5KlMn34i1133daZOPZ4///n3zJp1Dg899Di//e0fueuuX3f5COP+yAieEEKIHiluhPCdcgOBqReAUlj+AhKHmIXRRsPpPYH8r/0G4mHw5RI3sjosAYhSCneiFidSj+bLJu7J6/AMnY7jkMgfQd5lv4JYI3hDJFyhbpMkRgjRNRILnwUzkV5oJkgsfLZDR/ECgSxuv/1H3Hnnr3j00acAWLx4AV/84ul4vakf12bNOofXXvsv06ZNJzc3j9LSXgB8+ulizjnnAgD69u3H2LHjAFi0aAErVizj2msvByAej1FcXMKsWefwj3/8lerqSo4/fjpXXXVtRnsWLVrA5s2beeCBf6Sesmmyffs2hg4d3mHPuaNJgCeEEKLHSjou8O/cMLuD4hfHIZWJc1c2zo4M7qpXUvPyn3ESUZThJveMr2P1Ho/dCUFe3AhBVmhXQYfWL4ToeXaN3B1o+aGYMuW4lqmaAPYeKX4dByzLBMDj8ez2iGL3N2Vd13eeb3HxxV/h0ku/BkBTUxO6ruP3+3nyyWeYP38eH330IU899TiPP/6ftGtZls099/yN7OzU+2V1dTW5uUf2jAeZoimEEEIcAdzJOmpfuadlbZxjJqh99T7JbimEOCKorPx2lR+qXVM1a2qqmThxEm+//QbxeAzTNHn11ZeYMGFSxjmTJk3hzTdfx7ZtysvLWLr0cwAmTJjMG2+8SiQSwTRNvv/9W3j//Xd49tn/48EH/8Epp3yRW275X+rq6mhubkbXdSzLAmDixEk891wq6Nu4cQNXXHEJ8XisU55zR5ERPCGEEOJIEG3AjkfSy2wTp7kOPIVd0yYhhNjJPflC4rMfSZ+mabhxT76wU663a6rm//t/NzFt2gyampq49torsCyTKVOO48ILL6GqqjLtnAsu+DIbN67nq1+9iJKSUgYNGgzA9Oknsm7dGm644Sps22Lq1GmceeZZLUlWrrjiEnRd51vf+g7BYJBJk6bwj3/cR1ZWFt/97m387ne/4sorL8VxHH7845/j9x/Z666V080m3dfUhDOGaY8mhYVBqqqauroZooeS/iU6k/SvffMk66l58gc4uwd5mk7h5b8lJgHeAZE+JjpTT+tf5eWbKSnp365zOjuL5tHMMDRMMzPL856vk6Yp8vOz9l1Xh7dOCCGEEO2WcOeSP+um1Bq8ZBx0g7wzbiThze+wdX5CCHEo3EOnSUDXDUiAJ4QQokcwlIUerQEcLG8+Zjf7iHMch0ThKAq+9hvscB3KHyLpLeAonrQihBDiIHSvTz8hhBCiDW6zidiCZ2le9gHg4B95Av7jLyFudJ8NyCGVGS7myoPcvJ0FXdseIYQQ3Y9k0RRCCNGtKQX29mU0L3ufXRFRZOVHmFs+RXXs7gJCCCHEEU8CPCGEEN2armvE1i/KKI+t+RjD0LugRUIIIUTXkQBPCCFEt2ZZDu7eIzPKPX1HY1mZGcmEEEKInkwCPCGEEN2a4zi4B03AVdivpczI64176NSjelsdIYQQRydJsiKEEKLbi7nyyD73dlRDWWoVXqiUmHZkb0QrhBAi3Xvvvc1jjz2CZVk4js0ZZ8zissuuOKBzy8p28O1v38gzz7zc7ut++9s3cu+9/2j3eUcqCfCEEEL0CAktALlDuroZQgjRYy0oX8JL61+nLl5PrieHcwafwZSSCR1Sd1VVJX/5y9089NDjhEI5RCIRbrrpBvr168/06TM75Bp788knizu1/sNNAjwhhBBCCCHEPi0oX8KTq54laScBqIvX8+SqZwE6JMirr6/HNE1isRihEPj9fn70oztwuz1cdNHZ3HvvPygt7cWSJYt46KF/8pe//JM1a1bx29/+AoAhQ4a11FVbW8Ndd/2aiooKNE3jxhu/xeTJU1m0aAH33XcPSimCwSB33PFrHnnkfgCuv/5K7r//X8yfP5cHH/w7pmlSWtqb22//IaFQziE/v8NJ1uAJIYQQQggh9uml9a+3BHe7JO0kL61/vUPqHzp0GDNmzOTii8/l+uuv4L777sGybPr06bvXc375y5/yjW98m4ceeoJevXq3lP/5z79n1qxzeOihx/ntb//IXXf9mkikmX/960G+973v8+CDjzF58lTWrFnFzTd/D4D77/8XdXV1/P3vf+EPf/gLDz/8JFOmHMff/nZvhzy/w0lG8IQQQgghhBD7VBevb1f5wbj11u9z5ZXXsmDBfBYsmMeNN17NT3/6izaPra+vp7q6msmTjwPgzDPP4pVXXgRg0aIFbN68mQceSK2rM02T7du3MX36ifzgB99jxoyZzJgxs+XcXVasWEZFRTnf+c7XAbBti+zsUIc9v8NFAjwhhBBCCCHEPuV6ctoM5nI9OR1S/9y5c4hGI3zhC6cxa9Y5zJp1Di+99DyvvPIiSikcJ5UV2bJMAJSipQxA11vDGsuyueeev7UEZ9XV1eTm5jJ06HBOOOFE5s6dzX333cNJJy3nyiuvbTnPti3GjTuGO+/8EwDxeJxoNNohz+9wkimaQgghRAfSlYPHasTjRFCq7WM0BV6rEY/djNrbQaLHMZSNx2zA7cS6uilCtNs5g8/ApbnSylyai3MGn9Eh9Xu9Xv7+979SVrYDSAVva9euYejQ4YRCOWzcuAGA2bM/ACAUyqGkpIS5c+cA8NZbrVNFJ06cxHPP/QeAjRs3cMUVlxCPx7j++iuJRJq5+OLLuPjiy1izZhUAuq5jmiajRo1h+fKlbNmyGYBHHnmAv/717g55foeTjOAJIYQQHcRjNhBb/DL1S99DD4TI+cLVmEWjsNFbjnFbjSSWvkX14tfRvH5CJ12O3fsYLFz7qFl0d95kLeH5zxBdNR8jVETOqdeQyB2KgwT4onvYlUils7JoTpgwiWuuuZ7bbrsZ00yN0k2dejxXXXUdY8eO409/uouHH76fKVNap1X++Me/4De/+Rn3338fo0ePayn/7ndv43e/+xVXXnkpjuPw4x//HL8/wI03fotf/epn6LqO3+/n9tt/BMD06Sdy1VWX8eCDj/G///sTfvKT72PbFoWFxfzkJz/vkOd3OCln97HNbqCmJnxUb1xbWBikqqqpq5sheijpX6Iz9fT+pWkO1sKnCS9+La284Cs/Jx7st/MYBctfpWH2/6Ufc/GPiecMPmxt7amO1D5mKJPYO38num5Ra6GmU/jVXxHzlXRdw0S7HKn962CVl2+mpKR/VzdD7GQYGqZpZ5Tv+TppmiI/P2ufdckUTSGEEKIDuJLNNC99L6Pcqtve8m/DjtL8+bsZxyR3rJGpmj2YkWhMD+4AbAurvqxrGiSE6NEkwBNCCCE6gK27MEJFGeWap/WXVltzYeRkjthoWXl0swk1oh0czY0eyMzEpzz+LmiNEKKnkwBPCCGE6ABJPOScfAWo1o9Wd8kgVH7r1BrT1glOuwilt663M3JL0UuHIXquhBEk5wvXwG7r7bwDj4Wcve/vJYQQB0uSrAghRA+iFOjJONg2lscvo0KdzKVMlBXHMvxYtiKeO5jCr/4Kq247yu1D5fUjrgfTzoln96fgsl9g1W5HGW5Ufj/iRvfbZ0kcOMdxMEvGUHjZz7Hqy1HeLMjtS0KTETwhRMeTAE8IIXoIzTYx16xgy7//DysWpeTccwlMnIwl08A6nFLgCW+nac5TJCo34R9+HL7xZxJz5RHzl4K/dK/nOg6pxBq9JbnG0cRGJ5bVF7Jk1E4I0bkkwBNCiB7C2baZdb//Y8vfWx56mAFuF57J05CBvI7liddS/Z9f4iRSG+CGP30Ls6ES/2nfJunIR6sQQoiuI2vwhBCiB9A0ReNnn2WUV77+BrpldkGLeja7oawluNsltvEztGhdF7VICCG6v/fee5trrvkaV175Fa644hKefPLRfR5/0003sGTJon0eczSSnxmFEKIHcBwHIydzHZc7Px9H10BG8DqUMjxtlLlBl49VIYQ4GFVVlfzlL3fz0EOPEwrlEIlEuOmmG+jXrz/Tp8/s6uZ1KzKCJ4QQPYDjQNaYcRjB1oQeyjAoOfccLEfe6juaE+qNZ8C4tLLQjEtJenK7qEVCCNH5GufPZcNtt7DmuqvYcNstNM6f22F119fXY5omsVgMAL/fz49+dAcDBgzioovOpqxsBwBLlizipptu6LDr9kTyU6MQQvQQVm4hQ+/4KbENG7ATCfyDBmEX7j3Zx5FCKdBtE1CYSsfQbJRtYirPEZsFNKH5yDrlerJqNmE1VWPk98XK6Ydlpx+nFFgOaErRkxZCKgWGk8DWXFi2bNAuxNGgcf5cKh59BCeRAMCsraHi0UcAyD5u2iHXP3ToMGbMmMnFF5/LsGHDGT9+EqeeegZ9+khiovaSAE8IIXoQK1SAa3xB6t9d3JYDoSdjxFcsY+vLL2MEsuh13iySFUuI71hF4Jgvog+YRELP2n9FXSBhBKF4LBS3fa8Tls3SDbW88tFGsgMeLjx5CP0K/d1+uqwnWUdi1WyaVs/H3Xs4/vFnEPMWd3WzhBCdrPq5Z1uCu12cRILq557tkAAP4NZbv8+VV17LggXzWbBgHjfeeDU//ekvOqTuo4kEeEIIIbqEUhBfsYwN9/6lpaxxxQqGfutyktVvU//OI2Sf0IwaM6vbDX4pBZ+tr+Fvzy3dWdLE8g3V/PLGaZTkeLu0bYfCpZKEP3yM2PolACRrdxDb+Am5F/+cuJHdxa0TQnQms7amXeXtNXfuHKLRCF/4wmnMmnUOs2adw0svPc8rr7yIUqplRoclicP2SxZmCCGE6BK6bVLx3/+mFzoO4Q070LNSa9maFr6C2wp3QesOTdJ2eGn2xrQy24GVm2pR3XhGoxapbQnudrHC9TgNZV3UIiHE4WLk5bervL28Xi9///tfW9baOY7D2rVrGDp0OKFQDhs3bgBg9uwPOuR6PZmM4AkhhOgaSkP3Z27CrnncOM3J1L/dXlDd77dITSn8nsyPWJ/H6HajkWk0PfV6OOmLDZVkDxWixyu44MK0NXgAyu2m4IILO6T+CRMmcc0113PbbTdjmqlRuqlTj+eqq65j7Nhx/OlPd/Hww/czZcpxHXK9nkzekYUQQnQJE43S88+ncfmKlgQkus9HoHcOTdtTo3ahmV8loXW/dWsacPEXh/KrRxa2lAV8Lob3y+myNnUE05tPcMrZNH38YkuZp88InFCvLmyVEOJw2LXOrvq5ZzFrazDy8im44MIOW38HcOaZZ3HmmWdllB9//HSOP356Rvlf/vLPDrt2T6KcIzVF2V7U1ISx7W7V5A5VWBikqqqpq5sheijpX6IztdW/NMeG8q00fv45utdH9ujhOM1bMevK8fQfi5U7ABNXF7X40Dg4bK+J8vn6arJ8LsYMyic/y929R/AAlx1BVa0nsWM1RkE/9NLhxI3MPRi7gryHic7U0/pXeflmSkr6d3UzxE6GoWGadkb5nq+Tpiny8/edfExG8IQQQnQZW2lQ2p/s3gNwHIekA6qwL9pARbyb/5inUPTJ99OvsD+O4+A4PWOnhKTmh+KxaKXjMG0HSXcghBBHFgnwhBBCdLndZ2akAqEeEAnt1FNnnfTU5yWEEN1d91u5LoQQQgghhBCiTRLgCSGEEEIIIUQPIQGeEEIIIYQQQvQQEuAJIYRA0xS6Lh8Juq6haR27E7lSPf/edsZ9E0IIcXC6JMnKn//8Z9544w2UUlx00UVcffXVXdEMIYQ46ikFNVY1S3Z8Tk20jqm9JtDX3wfd6Z5bExwsHQujfiPRVXPRfEG8Q6cSD/Q+5GQv3ng1iY1LSFRvwTdkMk7RMJKar4Na3fU0K4G9ZSNVc+fhzssjNGUKdkFJj8gWKoQ4/Jqbw/z973/l008Xo+sGwWCQm276LsOHj2h3Xb/+9c+45pobKCkpPej2RCIR/va3e1mwYB5er49AIMA119zApElT2l1XOBzmV7+6g9/85vcH3Z4DddgDvAULFjB//nxeeuklTNPkS1/6EjNnzmTQoEGHuylCCHHUq7dq+fVH9xBNxgD4cPPHfHPylYzJHn1UfUk3qtdQ/dydLX+HF79GwVd+Rsx38F8MPGYDtc/9BqupBoDIijmEZn4VbeSp2JlbHXU7SkFy1QrW/+nulrKKV19j2M/uwMor7rqGCSE6zZrlFXz8wUbCjXGysj1MnTmQYaM75v+7bdvceuv/MGHCJB5++EkMw2DJkkXceut3ePzxpwmFctpV35Ili7j66usPuj2O43D77d9l6NBhPP74f3C5XKxZs4rvfe9mfvrTXzJhwqR21dfU1MjatasPuj3tcdgDvClTpvDoo49iGAYVFRVYloXf7z/czRBCCAFsbNzSEtzt8uyK/zL8+KEYjruLWnV4uTSTpvnPpZU5ZoLE1uWo4aUHHeg6tVtbgrtdGuc+Q/7gKUfMxuCHQjfjbHn66bQyKxolun4dbgnwhOhx1iyv4IPX1rRsxh1ujPPBa2sAOiTIW7JkERUV5Vx77Y1oWmpa+4QJk/jBD36Cbds89tgjvPfeW1iWzdSpx/GNb3yH8vIyfvCDWxk0aDBr1qwmLy+fX/zit7z44vNUV1fxve/9D3/96/1ce+3ljBo1hrVrV3PffQ8wd+4cnnrqcZRSDB8+ku9+97aMeOSTTxZTXl7OPff8HaVSU9CHDRvBlVdey7/+9SATJkxi27at/P73v6GxsQGPx8t3v/s9hg0bwZtvvs6TTz6Kpmn06tWLH//4F9x9911UV1fx/e/fym9+83tee+0V/vOff2PbDsOHj+C2276PrnfM7JkumaLpcrm45557eOihhzjjjDMoLj7wTrG/nduPBoWFwa5ugujBpH8dXVRjZpnpWPgDbkLeju8LR2L/suJRwlbmdt2aY5FbcPDtDVe3UWjb+LwusnOPvPvQXslGB9u0Mso1x+nS1/lI7GOi5+hJ/auyUsMwDnx98IIPN7YEd7uYps2CDzcy6piDn+2wy/r1axg2bDhud3p4MmPGicyb9xFr167i4YdTQdkdd/yYt99+nWOOGc+6dWv50Y/uYPjwEfzv/97K22+/wdVXX8OLLz7LH/94L/n5eQBMm3YCv/71naxbt5bHHnuIBx98lFAoh7vu+g3/+tf9fPvb30277po1Kxk1ahQul55WPnHiRP7+979gGBq/+tUd3Hrr7QwfPoKNGzdw++238PTTz/PAA3/jgQf+RV5eHvfe+ye2b9/CLbfczje/eT133fVHNmxYzyuvvMD99z+Cx+Phvvvu5YknHuOaa67LuC+aprW733XZRuff+c53uP766/n617/O008/zSWXXHJA59XUhI/qzVULC4NUVTV1dTNEDyX96+jTN9Abl+4iaSVbys4dfjrJsKKqqWP7wpHcv7KmnEPty39uLdB0jD6jD6m93lAvNF8WdjTcep3Js2i0/NhH6H1oD6UUvS44n41/+3trmcuFZ9DgLnudj+Q+Jrq/nta/bNvOCNj2pakhvtfy9tSzN44DLpe7zbo+/vhjli1bypVXfhWAeDxGUVExY8YcQ25uHoMHD8M0bQYOHEx9fX1LHZbV+hxHjBiNadosXryIadNmEAhkY5o2Z511Pr/5zc8yrmvbkEyaGeWxWAKloLExzMqVy/nFL+5oeSwSiVBTU8u0aTO44YarOfHEkzjxxFMYNGgoZWU7gFRQvHDhArZu3cq11165syzJ8OEj2nzutm2n9TtNU/sd8DrsAd769etJJBKMHDkSn8/HaaedxurVh2c+qhBCiHT5RhE/nP4d3t04h8pIDV8cOJ0h2YMPObnIodI0ddA/5u1+7oHW45SMJv+8W2j+5A00XzaB8acTD/Te5zUcx9nn9M2YK4/8L/+I6LL3SFZsxD9mJlqfY0j0kN8oHQe8445l8HdvpurNN3HnF1B4+qnYhaXQQ56jEKJVVraHcGNmkJeV7emQ+keMGMXzzz+D4zgtUyIB/vGPv7J48QIuvvgrXHrp1wBoampC13UaGupxu9OXE+zt88vjSbUz8zPBwbIs5sz5gAce+AcA06efyOTJU3nmmacwTRPDaA2Zli37nBEjRmHbNm63h0ceebLlscrKCrKzQ9x8862sW3cu8+bN4Re/+DHXXHMD48Yd23KcZdmccsoXufnm7wGpwFCpjnvjPOx5m7dt28aPfvQjEokEiUSCd955h4kTJx7uZgghhCD1QVioF3PZ8Iu4efyNjAyOwuV0zIf1wXDZEdyVy7CXPItr+yI8ZhtzSPfCUkm2xDbx2ta3+KR2EZHm9difPo+7cjkuO7rPc03lJlE0Ft+Xvof75BuJBfvjkJn2X8fC07AB57MX0dZ/iDfR1jzMVjFvCcbUr+I/9wdYA04gofesZQaWy4s++lj63HIbhVdfi1Xc96hKziPE0WTqzIEZUzoNQ2PqzIEdUv8xx4wnNzePhx76J5aVmv798cfzePXVl7j44st4441XiUQimKbJ979/C++//84+69N1vaWe3Y0fP5E5cz6ksbEBgJdeeoHx4ycxffpMHnnkSR555Emuu+7rHHPMeAYOHMyf//wHTDM1jX/VqpU8+uiDXHnltWRlZdGnT1/eeONVABYunM+3vnUDlmVx6aXnk5OTw+WXX80ZZ8xizZrVae0ZP34iH374PnV1tTiOwx/+8BueeuqJDrmP0AUjeDNnzuTzzz/nvPPOQ9d1TjvtNGbNmnW4myGEEGI3ltX138p1ZZNc+gZNH7/YUubpP4as075FQu17awGlFJ/XLuOBT/7dUlbiz+c7wWFoL9xF9vEXoB9zNpa9773azH3cB6VAL19O9Yt/bG1zIIe8L/+EmDtvr+dZVg9ImbkfqVlFXd+HhBCdZ1cilc7KoqmU4re//SP33vsHrrjiEgzD2LlG7s8MGzaCiopybrjhKmzbYurUaZx55lmUl5fttb5p02Zw663/wx//eG9a+ZAhQ7n88qu56aYbME2T4cNH8r3vfb/NOn7969/xz3/ex+WXX4yu6wSD2fz4x79oyaD505/+krvu+jVPPvkohuHi5z//NYZhcO21N3Lzzd/C4/GQm5vLD394B8FgNsXFJXz72zdy773/4Oqrr+c73/k6juMwZMgwrrii47aNU05Xz8NpJ1mD17Pmf4sji/Qv0Zn217888WqqH70NnPSAqOCSnxAP7XsrnbiK8OPZv6M5EUkr/86Q0+n1+mOg6RRe8Tti7vyDbr+bGA3/+RlmXfoXirxZN5Hs3b502aJzyHuY6Ew9rX+Vl2+mpKR/VzdD7GQYWptr8PZ8nQ5kDd5hn6IphBBCtMk2M4I7AKeNDJcZp+IQNxMZ5cldA3a2hWPvv559ciycPQJISG2pIIQQQhwpJMATQghxRLB9+XgHjEsr07NyUaGS/Z7rx89pg09MK/PobkqSqYDRO3gitm/v0ygPhKlnEZx8VnqhZmAUDjikeoUQQoiO1GXbJAghhBC7S+IiePLVuFa8T3TNx3h6D8c/4UvE9Oz9nus4ilP6ziDbE+SDTfPolVXEWaXjCc55Ec9x5+EZeRJx59A2kLVtB/fgaeQYHpo/eQM9WEDwuPOJByRrpBCie9ozY6U4shzsSjpZg9fN9LT53+LIIv1LdKYD7V+aBrodx1ZuLKd9Xzw0TZEkgY6B7oDmJLA0D/YeMz9jRNjavI3aWD29s0oo9ZaiH2AAqJTCcOI4ysB0DmwijKYc3OHtmJWbUB4fWuFA4q62RxT1aJjklk0ka2rw9umN1qsfluFu81iRTt7DRGfqaf2ruroMr9dPIJAtQd4RYM81eI7j0NzcSCwWoaCgdSP5I3IfPCGEEGJfbBtsPAc1KmbbDjqpQM0CLDywR3CXVDEeXfY0n1WsaCm7fNyFHF849YBS/DuOQxJ3u9rnrltP1X9+3bLGUM8uJPeC7xPfI/umkYiy4+EHqV/ySUtZv6uuxD/jZI7i3zaFEJ0gN7eQuroqwuH6rm6KADRNw97j10jDcJObW9juuiTAE0IIcVQpj1WmBXcA/7f8JcbOHEmA/U8HbS8XSRpmP5WWQMZqrMKuXAd9pqQda5bvSAvuALY9+W9GHHssdlZuh7dNCHH00nUjbWRIdK2OHCGWJCtCCCGOKnErM+tlwkqSPNQsm3uhHBMrXJdRbkeb2HNWlB2PZR6XSOAkJFOnEEKIAyMBnhBCiKNKsa8Qr+FJKxtbNIKQ0fGjdwCm7idr/Ol7lCpcJUMypoS6S0rRfembumePG4sKHVoGUCGEEEcPCfCEEEIcVbK1EP97wrcYVTiUgMvPyQOm8bUxF6Lszlm1YNsOxtBphGZciubPxlXQh4ILbiOR3TfjWCs7j2E/+iHZY0ajBwIUnnIKfa6+GlM/tAygQgghjh6SRbOb6WkZnMSRRfqX6ExHWv+yNYukE8er/G3tr97hNE1hmGEczSBJagTRbYWhbitOvBk9p5REoBQbDd1OohJxHG8Ai9Q8Tk3ZuMNlWPVlKE8AcvuS0PedSe1oc6T1MdGzSP8SnenAM01LFk0hhBCiTZqt48F/QJkzO4JtOyS0QMvfbjtM+J1/Et/0+c4SRcEFt5IoHI2lucDbOmqnFLiqVlH1/O9bkrV4+o8h69Svk9AkyBNCCNFKpmgKIYQQXaFu227BHYBD3VsP4rYiGYe6rQh1bz2YlokzvnkZ1G07DA0VQgjRnUiAJ4QQQnQBJ9acUWY11aHszIyZyk5gNdUeUB1CCCGObhLgCSGEEF1Azy0Flf4x7Bt+HKYrmHGs6QriH3F8eqHSUnUIIYQQu5EATwghhOgCiUApBRfchpFdCErDP2IaWdMuxnT0jGNNRydw/EX4R56QCuyyCyg4/3skAhLgCSGESCdJVoQQ4iiiYaFHdpBoKMfxZWPnlOJSQTyxaqz6MjRPADu7F0nNt//KjjCalYSqcpK1tbgKCkgU5VIeryGSjFDsLyRPz8GIVGA3VKL5c7CySzGSzdh1O0A3ILf3YU1YYjuKRMEIci75OcpKYLqCxJzM310NJ4EeLsNqric49Tyypn0ZW/OQ0HwtCWI8ZiNO/XYAVE5v4ge5p5/baob6bWAl0XJ7E3fn7jMJjdsOQ90OsBJoub2Iu/MOW9IaIYQQbZMATwghjhJKgdqygNrX/tFSpk0+g8DQqVT936/AMgHwDz8e74zLSWr+rmpqu2mORfPs99n6+BMA+L84g3fHufm4fCkABf48ftHvC1S/ch+QikCKzv9/VL/2T+xYGABX0UBCs/6HuCvnsLXbcSCufGD4djUrjUESc+lr1M1/fmeJIm/WtzD7TGoJpLzxKmqfuxOrqRoAPVRI3nm3E/MUtKstnmQ9Da/9mWT5RgA0b4CCL/+IqK/tUUJPsoHG1+8hUbY+dbzHT/6Xf0TM36td1xVCCNGxZIqmEEIcJTyJWhrefiStzF74OlbFppbgDiCyeh6qvntlZ1S1VWx98t8tf4ePGdAS3AGcWTKOxrceZlcU5ek1hPCyD1uCO4Bk5UasslWHrc0HQm+upKkluINUps0HcCfqgNR+SPG181uCOwCroYrEuo/RNNWua1llq1uCOwA71kx40SvoWtubBNoVa1qCOwA7HiG84EUMdRg2FRRCCLFXEuAJIcTRIhHBScYzip3dgpyWskjD4WhRhzHDYbBbA4tmPT3ICCkDJ966/YARKiJZsz2zntod7Q6MOpMTbcwsS8QgkXoumqZI7FibcUyibG27noemKczazPuRKN+AZiczypVSmHVlGeXJyk1obWQBFUIIcfhIgCeEEEcJ25ebSuixG2W40bLyMo7Vc0oOV7M6hCs/H93fOqU0L56eqGRDohEjr3XqYGz7GrwDxmXU4+4zAts+chaRqWAhSnellRk5xeBPvWaWZeMbMS3jPO/waZjmgY+k2baDp8/IjPLAqOlYmjej3HEc3L2GZZT7R55Aso3jhRBCHD4S4AkhxFEioQXIOec7GAW9AdCDebjO+jqq9zA8fUcBoHmzyJv1bZJZ3WsdlRXMY+ht38NTlApgvfNX8I3xlxFwpYK+rfFGsmd9A1fRgNQJtol/xHEERp8IKJThJnTiV7DzBnXNE9iLhDef/PNvRQ+mAjpXYT9yz/qf1Lo9Umv4tN5jCE6aBZoOmk5w8lmoXqPafS0rfyChmV9FGW5A4R81A9fw6XsNeK3cgeSctNvxI0/APfJESbIihBBdTDlO93orrqkJH1G/rh5uhYVBqqqauroZ4gigFOjhBpKV5WgeL1phMZbr0H45l/51dPAQxYzVYrv9hHWDqkg1PsNNsfLiUS6SrlCnvM/u3r9cTgytsQzHSqJCJcT1/Wd91JSDJ1qJ3ViB5vGBP4+YKw+H1qmIRjyCE2lGBbKwvX6anTAJO0FQD2I4Gt5oJVZjFXowl7i/FAUYsXocTSPpyd19luchcdsRVGM5lq5T7fdSm2gmzx0kty6O3dSMq6gEKyt0QMGQUuCymlGJCI43SALvzms0Q0MZSmmoUDEk46Ag6cnFslvvicuJoTVVQJLUNFYnBroOOaXE9fQ99zQNXPE6lG1jenPa3LIh4/hEPcqyDuj4zibvYaIzSf8SnelA+5emKfLz953xWbJoCtFN6VVlrPnVrzGbUm8GeSdMo/grX8XyBrq4ZeJIF8cH3t5U25XcNfsewolmAE7oO4kLh56Np5N/RHObjYTffYD4ps8B0IP55J1/GzFv8V7PUQqMHZ9S+d+/gG0BitDx5+HuPYJkQeu0StPjB8/OqZq2g48APhVAOQ769k+o+O9fwLFBaeSeeg32gGnEPPk7j++Y5+dJ1tH42r2YyTgrp5zEI4vexnEcNKVxTb/TyX3wNexohGE/+AFm4f5HSh0nNfrKbv+3vYka6l76A2btDgDcpYPJPuMm4q7ctOfhNhtpfv8h3CUTiFbUQngpyYpUYhQjVEjuebcR87RO27VtUnVAm1k992TbEDdyUt8mjt7fXoUQ4ogiUzSF6IZ0x2L7U0+1BHcAtR/Nxdy6uQtbJboTW7N4evlLLcEdwEdbF7E9mpk4o6M5letagjsAq6mGyJLX0NXeIwR3oo7a1/+xM7gDcGiY/yJW9WZcOzNK7os7Xkfd639PBXcAjk3dWw/hjlXv+8R2UgrMLZ+RKN9A9NgTeXTdO+yaKGM7No9uexvXWSdhNoXZ9u9/o9vmfmrMpGmK+OqPWoI7gETZeswtn6H2yKviVK4DCyo+WIwnpFqCOwCzoYrosnfR5JuAEEL0KPK2LkQ3pOJRwmvbyJxXVdUFrRHdUcKJs74u8weB2uj+g6VDoWmKZPXWjPL4tpXozj6yL8aacJKx9DLHxknG28wC2ub55h71OzZ2B2cL1XWNxPbVADQpsJz0YcGElSTqS01jbF67Di0Ry6hjfzTNIb5lWUZ5YvtqtN2itV33Ws/pRbK+AStcmXnO1hXoTvuDTCGEEEcuCfCE6IYcr5+cSRMzyj29u1diDNF1vMrH+JLRGeXFgcI2ju44tu3gLh2cUe4bNgVT8+z9RH8Omj99nZ7SXSiXB+XP2f+F/blovvQ1C3vLIHooTNPGM3A8ADmmhUd3pz0ecPnx16eCutDECdje9m8mb1kK37CpGeWegcdiWa0BpW07uEsGk6xaj7e0GD27d8Y5vqFTsZQro1wIIUT3JQGeEN2QhUbxOecSGJzK+KcMgz6XXoLeq28Xt0x0G7binGGnMyAn1Wd0TefiUWdT6u387RGc/EEEJ58FKvUR5Ok3Gu/oU/aZ4CRhZJN/9s3ogRAAmjdA7kmXYfQeSULf92JzgIQrm/yzv9sSJGreLPLP+S7xXevvOpDWaySBMSfhXvQ23xp2JgF3KojL9gS5sc9pxF56G//gQZScfz7WQXwMO46DMXASvmFTdpYoAmNPRuuVGbA7BYPw9BlG/qShRKtj+IZNh51JabwDj8U1bNpRnbhMCCF6Ismi2c1IBiexO8OMY9fWoLnd2Dl52If4m430r6OPqSWoT9Tj1t2EtBCOc+ibfOtYuKJV2IkoKlhIXEsFYLv3L11ZGLFasJLY/gKSuNusSymFO1mHE65F82Wj3D4IV6EZLuxkAsebTdydh8eJojVXYScdkk0JVFYI5fWSrKlBz8rCyS3AURpuswmi9SgM4k1J9JwcLH92RjZLpRwa7AaaEk2EPCGCKvOYvdGUgydejROuQQvkUuf10ZCMEHIFyI01pzacT8RQwQISnnyMSOpeacECHDOBE2lABfJIuHPZ10e0iyRatAaUwvIV7DWD5a57rSwbJ+Gg6Ukc3cDyF5CkdfTOY4dxwlVohhczUIjpdL88bAf7HuaxwzhNVWhuH0lfIRZdmw1UHJnkM1J0JsmiKYQAwDQ8UNSro5L/iaOQYbspMIoAOmT/MsOJYX72KvULXgYc9GA++ed9j6gvfWTQcnQsz76ngyoFnto1VL/0J5x4BDSDvNOuQ8/Op+KZ3+IkYyjDTdHFPyS6biGOUcTGh58l2dAAmkbJGacR3bqNxhUr6XflFfiOm07S8RD+eDnb/u9psG1coWyG3HYbVnGf3S7ssKxhBfcveYKkbeI1PNw0+WoG+QfvM+AC0LDRtyyk8s37wTJRbh/559xMVt4g7HUfkbAS1M95BsdMoFweCs64gdr3/43VVI0ezCPnuHOpeftfKJeH/HNuJpE/Yq/XTOKCXfd1H81Ku9d7mRHqi1VQ88JdWI3VgCI46Uu4jj37qNi03BctSz33plpAEZx6DsbYMzGPgucuhOiZZIqmEEKIDqPVb6VpwUvsijisphoaZz+Bi2S763KbTdT8995UcAdgm9S+8U/Myo0tCVeM3GLMuh0k62rZ9uI7qeAOwLYpf/V1QseMw7EsNj/0MFSX41TsYNu/n2LXfNBkQyOb/vlPDDPect16q45/LH6M5M4MlzEzzn2L/kWzs/9fVt2xqlS2Tyt1rpOIUvvfv+CKVEA8TP3s/7Qke3GScapfv5+caeftvFe1hFfOxTfo2J3n3Ys7Wd/u+9ZehjJpnP3vncEdgEPTov+i6rd0+rW7mkuZNHzw+M7gDsCh6eMX0Ru3dWm7hBDiUEiAJ4QQosPYTZnbDsS2rkSzou2vLNaIHWlML9uZOXMXd2F/7HA9enYpkY2ZWUHteOuxydpakrW1GcdEN2+BaOt2EQ3xxozsl5FklMbk/gM8O1zbuhXDrrJoE3akHhwHx0oPdHeNQu4S37EOd1G/neeFIdb508F0M0Z864qMcrux52fl1c0I8a0rM8rtppouaI0QQnQMCfCEEEJ0GC1YkFHm7TsSW/e1vzJvdkbmTJSGcrVm20xUbUbLysFqLMM/sH9mezytx7ry8nDlZWbN9A8cAL7WTcRzvNnoKv3j0e/yke0K7rfJWlZeS/KYljJfEM2fA0qh9PSMlcrlTdu+wdNrCInKLS3n4d3/NQ+VZXjx9MtM0KJld25G1SOBZfjx9B2ZUa4FOz75jhBCHC4S4AkhhOgwdk5fglPOYVemRj2YT/aMr6Yl8zhQCSNI/qxvozw7F47pBnmn34BRNBDlSq2PMusqMHJ74crNp8+5X8AVSmXZRNMomXUmDZ99jtJ1+l9zNRQUo4p70eeyr7Brd29XKET/665LrWfdKaTlcuPEy3FpqWXqXsPDNyddSUDtP9hKeAvJO+NG0FPnKrePvFk3kQyUgCeLnBlfbhmxUy4PBWdeT/3cF3beqzyyRp5AdMOnLeclXDntvm/tZToG2dMvxWgJ6BTByWfh5PTr9Gt3taRjEJr5NfTgrsBfEZx6LlZ2n32eJ4QQRzLJotnNSAanI4OmHFyxGrASOP58Euxj/65uRPqXOFRuJ44WqUJTYDmAL4cmw6A+0UBeVhAj7oP9ZOrUNEWT3UhjLEzIFSLPSWCHa1G+bJLefBwU7kQdTnMdmj9E3JOHx4mhx+uxo0kSDc1o2bng9ZOsrcWdFcCMxdD8WVjZuSjbQtVVYzVHUL0LqU02omybPG8+tvLhdmKoSA1JQ6NCA58r0O4smq5YDU60ETs7nypMHMehyBXAE6kBM4mdiKOy8vbIolmIY8YhHsOO29iaG3LysbSOy4emFDsziTaAJystU6fHbsYJV6IZXpL+QqydedjcThQVqUU3DGzbwTE8JD15LZ/FmgJ3vAYnGUu9H6quS07SnbNo7rrPyuUl4cnncHzVSX/t8kiogxhpP4rIZ6ToTJJFU4guZNgxrJXvUD3vObAt3KWDCZ3+TWJumdIjjm7eRDUNr91HomIDaAahEy6iedhE7pr3MBXN1bh1F1ce82WOyR2L2ktKf5TDysZV3L/kSaJmjFxviCuHfYWB2f0x3HpLtsi4KxdyclN/OOCYCRrmvUB0zccABMbMxDvlInTDYM1vfkuiugbd52XA9dfjGjceK6+YaE4DT618jkUVy1AoZpQcywUDTyb22l9JVm8F3aDkxMtQQ6ZjtuM+2I4i7ikg5vXz4rrX+HBzqk1TSsZwrpWFPu8lPL2Hk3PqtZiOjukrgZ3fqw3TpvzZ56id8xEA+TNOoPiiSzAD2Xu73AFTCjwNG6l9+c9YzfVoHj95Z36TRNFoHBRxLQDZA9PO8cUqqH35bsy6MpThJjRlFtGtq8kafxpm6Tg0x8JZN5fq9x/HsZK48nuTe9Z3iHqKD7m9h1Ncy4LQ/vdT7CzeeCX1/72HZPU20A1yZl6GMXg6pmp7+5COYJDEWfcR1e8/kXrtCnqTO+t/iHqKOu2aQojDQ6ZoCtFOev0WGj/6D9gWAImy9UQWvYSuZLMCcfQylE3zx8+ngjsA26Rh9lNEy9dQ0ZxKvJKwkty/5ElqzL0nsKi36vjrwkeImqksmXWxBh5d+xSV9bUo1fbIn1IKc9PiluAOoHnZBzg7lrP5/vtJVKeuZ0VjrP/LX1E1lSilWFLxGYsqlgHg4PBh+Scsq1yDnr3zC65lUv/eo+iN29t9P5SC1XVrW4I7gAXly1gR9KL5gsS3ryby+dtoKv2cyNLPW4I7gJrZHxFZ/jl7eert4jbDLcEdgB2PUP3y3Xjibb8eLhI0vPMQZl0ZkAqi6+c+j3/wsdS8fA/uaDV60w7q33m4JXlMsmY7De89hku1JyQ+urmUSdOHT6SCO0j1u3cfRW/a0anX1Rt3UP/OI62vXfV2Gj94DJdqf8ZbIcSRRQI8IdrJrM38shddvxj9YLIECtFD6GaE6PrFGeVGUy3aHklHqiJ7D/Bq4/UZGSxro/XUNNej7SXK0TXSgrtdohuWoLQ9PuZsm0R1FUp3WLAzuNvdsqZNePsek37KQWST1HWNTyqWZ5QvatyKqzC1ti2ybgkuJ7bbOTp1CxZknFO3YCG63gEf19G6luCuhWVih9t+PfRkM/HtqzPKnWQcHBu7qQq7oTLj8fiWZejJ5oxy0TbdjBDb+HlGeVv3tiPZjZn1xzYtRU9GOvW6QojOJwGeEO2khzKnr7h7DcPWe8Y6PCEOhm14cJcOzSg3fUHsPQK2HO/epxuG3JnT5AJuPyF/EGcvu3nbDnj6jc0o9/QenrZNwi6unFywFaPyBmc8NthfSqJqfVqZCuTstb17Y1kOw/MGZZSPCpRg1pWn2tdraNoUPNu2CY7OzGYZHD0Ky+qABVmeIMq9xxorpaH5Q20ebhs+XPm9MspbksQEclGB3IzHXUUDsA3ZJPxAWboXd/HAjPKD6XftobXx2rmLBmLJaydEtycBnhDtlTcA//DjW/7U/NlkT/sypiNLWsXRK+m4yJ7xFTRfa4DmHzUdb+lQ3LttDXDWsFMpdO99jU+ukc9lY85D7crCqel8ZfCFlOYU7jXBlm07eIYdjyu/NfOhu2QQrgET6HvFFShX6/V7X3oJFBRj2w4n9J5EaaB1K4BBwd4cWzyS6MYlLWWBY76Ak9O3HXcixXEcxhaOYuBu5/bOKmICXqymGvSsHIKTz8JyWj+Gbdshe9JkfP1as1f6+vcje9JkOiIfWtKTS96Z3wBt1/pHRc4pV5L0tb0dQkJ5yTn1hpaMpQBZY04ktn01oZlfxfQX4YT6kDX+tJbHldtHzhev6TGJpw6HJG5CX7i6NVssEDjmiwfV79rDzulD1rGntvyt3D5CX7yapLx2QnR7kkWzm5EMTkcGlxNDa6rAScZRoWLiRtu/gHc3B9K/lFK4zQZIxrG9IZJ0XhIAceBcykKL1YHuIuEKtWR8VArcVjMkIjieYKdkONSxUY11oGkYfhd23XaU24eVVYyleWimCT1aj09paL4CTDvzC6RSoMcjOM1hVFYWFSpCbaSeQn8eqNRWBT6y2gx0NAWuRB26ncA2EzjJJE52CQnNj5sYelMVVsLGwoOTWwC6gSdRhTITNHkD7AhXoWyHEn8hbk8urng9TmMFmseL8gSwlYukO+egPnsSWozKaBWO49DLGyRQUwaWicrrS9TIRdMUMbOGuB0n6MkDy4MRb8asKAMURnEJpifQZt1KKfRII04shsoOYer7/7+olIMnVo0drsbwBnDcWSQ8OVh227/3KqVSWRabKtFdbhxH4bi8mP6ilkyThpNAb67AiUdQ2UU7M3O2+1btlduJouJN4M4irvlxE0fFGsDtJ6FnpV2ru35GKkUqM2xjJcrjxw4Uk+zEBCu7pL92hSTceR362vU03bV/ie5BsmgK0cWSygvZmZsq93QaNkbZUmrfegA72oS71zByTr2eqKfnb4h8JPMm6wjPfpzousUot5ecE78KA6diaS7cNWuoe/3vWOE6XIX9yD3jG0R9pR12bSPSSNWLL1D13vsoTaP0/PMInXwKljs1GqE7JqGtK6h7918k4hG8/ccSPPmqtKyzSinYup71f/0b8aoqvL1KGfjNb+IqyeehT//N2tpNBD1ZXHPsJQzNGorabdTLZUcxV75LzfwXcGyLwJiZ+CafR0Lz44uWU/fG30lWbkIP5JB7+o04KoS57HWq5r+YOn74FIZPmkU0uy+OA7YNcVcO3qBJ47sPE9+yHM0bIOeUq1B9xrdsHXCg3LaXPp7WkZhYfuu0OJ04K2tX8tCyF2lKNDM0tx/XHnMxQU8R9BsCsNfsncqxsFYsY/39D2A2NREcPpy+11+HmbPv/4uOo7BdAZLb51Kz4GVwbLKO/SKe8WeTMDL3+XMch7g7D/IzN4jfxVRuzKy+sOv7RgcFCEqBp2kLda/eh1lfjpHXi/wzbqD27YdJVm5Gz8oh9/Svk8gfjkMHZKHpQo6zMzNsfua0yc7UWa+dEKJryRRNIcQBc0fKqXnpbuxo6hemxI41NLz7MC4k61pX0TSH6KevEV2XSnDiJGLUvf0gesNW3LFqqp+/CytcB0Cyagu1r9yD2+mYhEBKKZoWL6TqnXfBtnFMkx3/eYbk+nUtxxhN26l97W848VTihtjmpTR//BzGblln9cZa1t35O+JVqWQmsR1lrPv9H9i4ZTlrazcB0BQPc8/HD1G7RwZOVb2Oxo/+k8oE6Ng0L30Pc8MiPCpO3Wv3kqxMnW8111P9wu8xGrfR8NEzrcevmk909Xw8VuuvpoayCM95iviWVJIUO9ZM7at/xejgrIbVsTLuWfJvmhKphCRr67bw8OfP4uj7z0CpVVew7k93Yzal2t20ejXbHnkEw97//0WnfBWN858H2wTHJvzJm9hbPu2QTJ0dyW02UvPC7zHrU2sWvX2GU/v6P0lWbgbACtdT/fzv8cSru7KZQghxxJEATwhxwKyGCvb8iTe+dQV6orFrGiQwzAiRVXMzys2arThN1WClBwtmXRkqUtch19Ydi9oP52SUN3z6aUvWR3vnl/PdRVZ/jGGGW/5O1lRjRWNpxyTr63E1pGfzc3CojLR+mdd1RXzjZ5n1r/gQLdFEsnqPjLe2RbI2M0iLblqKirX2YcNsbgmY005vyHwuB0spKA9XZSSOWV27kUiyYb/nxyvK2XMuXeOy5RDe9/9FXdeIrV+UUR5ZORv98O/tvU9OuAY7stvrEszLfP1ss9OzTQohRHcjAZ4Q4oBpvszsh3owTzLmdSFHd+MqzJwurGflo7yZU+6U2we7JXM4FLbSCAzNzETp698f206N0Kk2+oyroDfWbllnjawgew4fKcPA9mWuQQrulmXTtp02n7u7dAiO7kXzZq5d09vKHJjfC3ZLJGLrblz5mdNYla/j1to6DmR7MtdQ5HpDuA/g/5MRzLyv7oJ88Oz7XNt2cBVnZvd0lw7FcY6sITzlzdotIQw4ZhKtjb7bVh8TQoijmQR4QogDZod6ExhzUmuBppN72g0k9baTQIjOl3RcZE+/NC3ToaffGMjvjxUoIjj13N2OVuSedh1Jd8es87EdyP/iqbhCrV+wvX36kDV2bOvgUm4/vEMmtbZAd5FzylVpmfqcvAL6XHZpWt39r7mK3L6D0HfbQ++k/sdR7G3NwOk4oPcdjaugNXum5s/Gd8ypJIwguadeD7udH5w8C5XbJ/14X5DAmJkkdrsnCbzkfPFa0FvX2/mGTYXcjs1q2CtQyom9jm35W1ca1x1zEW5n//+f9NLeFJw0s+VvpesMuP56rDaC2t05joN7wHiM3JLWurJy8Y6e2TFbMXSgpDefnFOubPk7vHw2uSd/FXZbbxecfBZWVnEXtE4IIY5ckkWzm5EMTqIzHUj/cjkxtMYy7FgTeqiYuLeo2yc4OFIpBQkVJ+kk8asA2G3f51Smw2rsujKU2wOh3iS01EiH4SRwxWtQyRh4soi587DpmLl4mnJwmWGIxoiWVaJ0A1dpL0xf+sihy46gNe5As+I4WUXEvYUZmfo0KwlV5Zi11bjz86C4NwZRKq0wFdF6Au4ghZ4iXE7rqJ5SCrcVRrei2LEwdqwZPbcER7mwdB8WOq5oJXZDBZo/BytYiqnceK1GVMMObNtA82ahfD4s5SKhp+6ZbTnYlk3ArsWqL0PzBLBDvUiqPfaQ28ljOKi66tRky5xcVDyMZfgPKMOsQxPlzeU0JZopCRYTcpegUPjMOpSVwPLkErXbrkdPxrAryrCamnAVF2Pnpf4vKgV6rBlMEzsQxG7jt1yP1YRTtz21p50RxHIFsLz+tNdFKXCbO9fbGsEuya6oY+GOVWOFm9E8PuzsAlSkGruhMu013WXXe5ihTIxkGFv3dkrmWHF0ku9gojNJFk0hRJdJKi+EBkIISa3SmZTD+sgGHvnsaWoj9RzXZwLnDTuTLDKno6UyHeZDcX7GY65EA42znyK28TNc+b3JOfVa4qHBh7yvmttsIrH0DaqXvI7m9pIz82s4fSekfdneJan5IWdI64dXG5fWlYnduJrIgmdQI45Hr8qhesF/0TSd4RNOw91nJEl3Cdau47HQtn9G3Xv/woqGyRp3ClljT6L2lb+QqNyIp+9IQidfRdRXAr6StGslHC/xjfVsffxxrGiM4lNmEBwUxNtvGFX6AF7+z3IaG2KMGlfKtJNH4/LuPSD2NldRv/ATtj//Ak7SpPj0U8keWkhsw1xyvnD1fjOWKoKUBoKU7hx4M7DQd3xG1XtPYIXr8A+dROj48wh7Mjcct1xe6DMQDVrui+ZYmCuXs/Hhh0nUN1B40kwKzzkXMysn7dy4HsTwFlPx7LPUfDQXd14u/a+9Bn3oSGw0XHYEa82H1Mx7ARSEpl2INmQ6Sa3tILfTRCJUvDWbitdeR/d56Xv55XiOGY9dsvf76k1U0zT7SWLrl2DklZL7xWuJ5w6R9P9CiKOGTNEUQogjULVZxR/n/5OaSB0ODvO2LeaFNa+BduDfUl3EqX/z78R2JiJJ1myn+pnf4j7ErIOapjDXz6Np4StgmdjRMLWv/x29YctB16kq11D//uOAwggV0jD3eRwzgZOI0jD/RcyqzRgNW1uONxq3UvvKPVjNDWBbhD99i+al72InU8la4ltXUvvSH/HYkYxr2ds3s/Fvf8dsCuOYJuVvvkekwqTu7YdIlG+ksT4GDqz4rIy5763fa3ZJF3Gi6zex5fEnsZoj2IkEZS//l1hVAquphpoX7sJjh9s+eS9c9RupeulerKYacGwiaxbQ8PFL+LTEgVVQsYN1f/gjido6sG2q3n2P6tdfQ1Pp/UbHpvKFF6iZPQdsm0R1DWt/93uoLEsdULaChg+fwknGcBIx6t9/AlWxul3P5VBpmqLp47mUv/wKjmliNoXZeN/fsLdt3us5VqyZxnceJLY+tVm9WVtG1bO/xROrOlzNFkKILicBnhBCHIHKmyszRtnmb19CxGk+4Dq0aB2JsvVpZY6ZwDnEbJC6HaP58/cyyhNbV6Bp7Z+uaxgakVUfAeDpNYTohszMmPGy9Tjh1sDUrNyYcUzzmoX4BoxpPaa+AprTt1XQNEV4+YqMc2vmf4K710j8dm1a+crPy0jGrYzjAVxOgrrPl2aUV8+Zh3/ECVhNtRBuXzBt1pax5xBnZPUC9Ght2yfsIb59e0ZZ9fsfoEXTA00tEqb6w9npBzoO8bIdGIZOZPkHGfVEVn6EYRy+rw1aIkb1O5n9LLxiZWrvxDaYTTXEt65ML7RMrDayuQohRE8lAZ4QQhyB/K7MbIF53hxcqh0z6w0vyp25/kh5Di0pjqO5MPIyp8jp2YUHtUbath1cBakEJla4HiM3M2mGEcxLy3Sp+TMzWrpChS17/qUOMsCdPqXQth3chZmbgXuLC7EjdZh7TEEMhrxoetsflbaj8BYVZZR7S4tTe7cpDeVuX8bStrJEGqFCHGP/6/kA9KzM19ZTXAR7nO+43HjauA96IIBt27gK+mU85irse1jXwDuGC0+vzH7mLizc6xRjzeVt8x62VSaEED2VBHhCCHEE6u0vYXThsJa/lVJceeyXcTsHnjAi4c4hd7cshACB0SdiBUv2csaBMW2N4HHnpxJ07GTklqD3Gn5Q9dm2g2fIVDR/NsnqrXiKB6Z9IdcDORh5pai81iyWWtHg9C0SdIPsKWcRWf9JS1HOiZeS9OZlXM8/YgSe0tZ7oLndFM2ciINDvV3QUq4UnHbOKHSj7dGiuJ5FzrjRqaQwu5rh81J08gyiaxcQOuHLJL2Z6yL3RSvoh6dX6+uO0sg98VKirgOrx923P4GhQ1pP13X6XXEFpuFJO85ye+l/zdWg7ZZldNQo3L37YdsO3lEnonlbF/Fr/mw8Q487rAGehUavCy5Ac7f2M2+vUvzD997PXDlF5Hzh6rQy/4hp2Nm9O62dQghxpOmSLJp/+ctfeO211wCYOXMmt9122wGfK1k0JYOT6HhKKVx2hECWl/qIkmQER4i4irA9Uk4kGaHYX0ShqxDauVeZjonRtAO7oQLlD+Hk9D2oRBm2ZpF04niUD2yFUgpPtAKrdhvKcKPy+hI3QmiawrDCoAwSpAcV+3v/8iRqcWq34igNVygfs3YHyrbQswuwAoUkXdm4rAgaFhYGyjZxarfgJOPoub0wfbno9duwwrXo2YVYwV4ZSV80TeEymyEaI7Z9B048irc4H+W2cIKlWMpDItxEQ8TAF/ASykpNz0xqPhSgRZvBcBF3K0xMctCwq6qIbt2Obdn4+/YCpwHlDaKC+ViaB0tz4zKbcXQv2Mmd9fn3OgoVSFZh1W7Djkdx5ZaQyO6LrQwMsxlb95J09j2Ka0SbSGzbih2N4unVC7ugpM1MtxoOqqqMeNkOdH8Ao3dfLF8qqNOxcUersOrLQCm0/L7EXJnB8v4Ymo0eacAxvCSM9vc7pRRabQXx7dvQXG68ffqgfAam7sdyMn+jLiwMUltVhytchlVfvrPP90kl+hE9wq7PK0j9vzycn1fyHUx0pm6dRXPu3LnMmTOH559/HqUU1113HW+99Rannnrq4W6KEAIw7BhsWUT9vOdo0HSyT/gyTu9j28yGKA4vj+NnkG8Q7PpefBBfZCwMrGA/CGZOuTsQSkGlWcHTS19ic/12Jvc+hjMHnUKWEyLmLYJerVMU3VYYc9Uc6he/hubNIjTzMsyCEVgHuC1D3J0HJakgwlQOnkCMhg+ewGyoIPeUK9GtJGa4lqbP3kMpjezprX11V0ZXM2cw5AzGbKN+lxXBXvcxdQteRBkeQlPPoXnzApo2NBGaeRkq2UzzB/8gUb6enKGTyRo9neqn/wmOQ85J11G7ZCWVb72LuyAf74Vn8GhkEeNy+zOl2SSkbAKDx5HI6YVu5ZNcPZumJa+hB0KEJp9FrGw9rpxCmpa8iWNbZB9/AfSbhKlljsgmNR9mbQVNi19F92WTf/q1NC2bTeOaj3EV9id7xleIB/vu9Yut6QuiDR2Vll2zLTYKCnthFKYydO461mioovy552n49FOyho+g9yUXkziI4M4brqRm9hwq334fIxik31cvRQ0Zha0OfJsOx3GwcoswcovwRctpnPsoiW2r8Aw6luCU84l6MqeZWhhYWX0hq2P3LRRdz3DiqC2fUD/3GQBC0y7C6TseU3n2c6YQR5fDPoK3du1ampubOfbYYwH4+c9/Tv/+/bnyyiv3feJOMoInvx6JjuUu+4Sal/+cVpZ/we0kCkZ2UYvEkaSJBn724R+ImrGWsrFFI7hh3BVodutvhJqmUKve2pkJs1XhpXcQyx6Q+nc73r880TKqn/gR2BZGbgm+QcdiBHKo+/CptOPyz/8eicLR+61PKdA3z6fu9b+nleed/DVq33scNJ28ky6j9t3HWttQOhgjVEi8ahsJaygVb+6W8EPT4JYr+PP2Vzm//wlMWzyXrOFT8QyaQHz7Khp2b6fSKZj1dapf+Wt628/+HxKl49PKNE3Byjdo+OBJAHyDJ+CYCWKbl7VW5/ZScNmviLnbN/3zQBiJKBt/+xuiW1ozorpycxj6859j+jK36Ngbj5ag7r8vs+3Zl1sLlWLkz36M1WtQu9vlsRqpe+onWM31re0q7Ef2ed8nsdv+hPIZ2bO5K5ZS8+If0sryz72FRPHYw3J96V+iM3XkCN5hX4M3dOjQluBu06ZNvPbaa8ycOfNwN0MIARi6ovnztzPKo6s+Qt9LYglxdKmIVKUFdwBLK1fRaDamlRl2lPAnb2Scn9ixeq/bDOyLXbsD7NSYkn/QsSTrK4juFuTsEl0554AyOxrKormt9lVvxQgVgW1hJ9KfZ7xsPa6Cvnj7jqfqg7l7NNAmWBMF4O3yz7CGTSCydiFWfRnRdYvTDnUX9iGyRxlA8+fvYOjpN8ewIoSXtLbTUzooLbgDcBIx7Pqy/T7ng2HVVqcFdwDJunrMysp21aMaa6nc8545Ds1r1h5Uf3AaK9OCO4Bk1RZU86Ft+SG6D8PQiCzLzKoaWf7+Yc3uKkR30GUbna9du5Ybb7yR2267jQEDBhzwefuLWI8GhYXBrm6C6EGSOcWweXlamSuniLy8Q8u0KHqGiorMtUse3U3Q76Mw2PpeZCVchLPyMBvS9xtzBXPJLmg97kDfv5prW69rRcMopaEF2sicmVNEbu7++6pjmcRCBSQq0rdX0LxZ2InUeh6l7TF1UDfAsbETYVyhEPE9ghzLrUMMctxZaM1NaP4QmsuHcu2R0CTWjDeYOcXRyC0mNy/9M82K6zQFc1P74O1st3J5cZLpwac7ECDUCZ8Fzc2B1OikbaeVe7MDBNtxvZjdgCsnRKI6fZsKVyibgoL2tzuWaOM1VhqeQBbZe7RLPiN7rurcYqJ7lLlySw7oPaCjSP8Snamj+leXBHiLFy/mO9/5Dj/4wQ+YNWtWu86VKZoyPUB0LN/YL9C8fA6OmdpIWXn8uAdPkX4mAMjT8zimeBSfVbTuHXfx6LNxJXwZfST7hIup+s+vwEkFB3owH1U4uOW4dk3RzO6Dq2gAycpNRNYsIHfmpYAisnYRTjIOgHL7cA897oDrDEw6O5Vl00qt0NP82ej+IHY0jKuwH8qbHsxmjz+d5lXzMZtq6XP+Raz/5+PsWvjm7t2LjVkmqlFxcZ+pOG88RtbJX4Pc3mRPOZeqLSta7oNC4e0zkqbP38eJ7wwmXR58Y05ps+2h6ZdS9Z9fg2PTvGIu2ZO/RMPc51rvzYBxJHwlhDvh/6gWCNHrvHPZ8dzzLWUFJ59EMju/Xe8Jup5Nn/PPYvUf/tISLLoLCvAOHnJQ7y0udwGBMTNpXta6P1/2cefSrLJp3K0++Yzs2bwjZqA+fw9n52i7cnvxDD/hsL3m0r9EZ+rIKZqHfQ1eWVkZ559/Pn/60584/vjj232+BHjy5iI6llIKT6Qcs2ojhqFD/gDi3kLJpNkOmqbQ7RiOcmG2kdlvX3THQjk22s6pekmMfd57pcCFiQP7zabYUSwtSlO0mi2xOvK8uZR6S9AdV8Zxugbupq0kqzaj3D5U4QDi/hwcy0F3DLJCLhqaomjWbu3WHEySuPFkvLd7zAac6k0otxdXqAjLclDRGpK1ZRDMw8zrhebKx7FtXFYchYNteMBOYmoeIPW62MqF5WgoBZ5IGVblBjDc6Hm9idoW7mQUFSwEXFC7GauxGiOvN3ogG9sxSeg6buUlUdVAdPNmtCw/0V65rHVq6OcJUVpXi8sfwg6WYLlDGMpENTdgN1Zg20nc+aXYiTiGx4sVaSLZ3ICe24e4P7VVg6kl0DHASvUBTTm4m8sgWo9y+8CTA4lmEpUb0LPyIL8/lp6FMhPYLg97fiQamoWyLUzl3mtf0jTwODEcpRGz3eg4LfWpRAxr2xbiZWW4i4ow+vRHeb2pDcMNT0v2TwM7o2x3LjuGs2MrkS1b0P1+fIMGk8jO3DewpU0qlUTD1NzYduY8TpcdQdVuwmqowsgtxcrth6nSk9TIZ2TPphSp7L1VmwDQCwcS9xUdts8r6V+iM3XrAO+Xv/wlzz77LP36tWZ0u/TSS/nKV75yQOdLgCdvLqLzSP9qP7fViLl2HpFl72Pk9SZr6nnEs/ruNQX+LsqxcDatp3buHAomDiG2bjaOmSBr8jk4vca0mRXOcOKoHctoWvAimstL8PgLMPOHHnCWyvZSCryRMpoWvESychP+kSfgHjGDuJE5VdJjNpJcO5fmZR+gjZ3J5j59abbizNm8iKZ4mFMGnUBDrJHPylcya9gXGBEaRr1Zz3/Xvc3m+m1M6zuZ43tNwu9kpV3fF9lGdGsZ5W98QKK6luIzTyc8aTgvr3+XbY1lfKvfLPhgIY2fLyM4YjihMaNx52VhN27EXdyfuvefxFXUn+CUc3BcfiqqG9kQ9lBWG+Ojz8vpVehj5nF5OP46TMtidM4I3HjRMWlIVvD6po9YUbuJ8QXD+MLAaQRjXsIfz6Pq/Q/wlRZT/IUT8PTtTdxfgrt+M7GNy4nVOlR9MA9XTg69zpuFy28S/vwdrPoq/MMm4y4Zgp0/kCZD57PqZby14UPyfTmcO/wMSt29MKw4asdSEhXbidVpVM+ej7uwkNILL8Dp1R+9tpLK//6X8KrV5E6dQu7JJ2Nm5aJw8DRuomnes1jhOgITzkDvP5HEHlsEeKwm7C2f0PTpW2ieAFkTL6byvTk0LltBzqSJ5J3yBczs1JRShYPavpmy558nUVVN0emnEZgwEbumOq3MP2Eilvfgl1B4E9VEP3+L2IZP8Q4Yh++Y04l5CvZ/4h7kPUx0JulfojN16wDvUEmAJ28uovNI/2ofXXOwFj1D06L/tpQpl4eCy35JrI307bvTdmxi1U9/xrCbLqfp40fTHss/52YSJcdmnOMu/5Sal+5OKyu45CfEQ+3PSnggvMk6av79I+xYc0uZf9QMPDOuwnRag0pdOZgLniL8yRsol5dNp15Mo9fLv5e+hO20ruU6Z8SpfLBxPg3xJn5w4re5e94DRJKtK2pm9J/CpUMvADs1CupPVBJZ+Tlr//YUjpmaVhm47lL+lJxLNBnjnF7TGP7kxyR2tCYc8ffvT9bwoeQdM4D4pvkow010/RL8w6aS7DWWp9bnga7z4ZLtLef4PAaXXpRNs1ZJvi+PKfmTsZLl/HLRI1REWteQDc7py42eqWz/030tZZrHw5DrL8Q/ZDjVL92DKpzO1v97sfUmahrDvvVVmj5uzc4ZHH8qekFfFoayePDT1mybutL46cxbKCnfSsPsp7B9E9jx0ustjyvDYOTPfsra3/+BZF19S3nomHH0/ta3MaKVVP37Jy3JaQByTrkSZ9gpLZ+bSoFr4xxq3nwgdT/HncnWlxYRr2xdO5k1fBj9vnsLpuFBr9rBqh//pOX+A/T9yqVUvvse8YqKlrI+X/0KWV8446A+n91OlMYX7yRZuamlzJXfm9D5PyTezv3r5D1MdCbpX6IzdessmkII0VMYiUaalqRnZnSScaza7Xs5I0XTFA2ffIq3uAirflPG4+Elr+HS0r8ouzSb8OJXM46Nr1uUSq3fCey67WnBHUBkxRyMeH1amZFoIPxZKhurPmAM79asoTEeTgvuAOZtWcyxpaktDTbXb0sL7gDmbFlIk9WandOq2UqiIZ4WXNTm6ER3JhwZkPCnBXcAkc2b8eTmYsY0YpuX4SkdDIC7qB+VMQ8lBdnM+XRH2jnRuEk87MWtu3lt7bvYepLy5qq04A5gff1WKpMN6fcoHicRTpKs3Iin7zgq383MthmtaEhLvBJeNhsnUk+iOb1+y7GJxBoIL/ov3gGTqHhndtrjjmkS3byZZH16Gxo++xyntoZk5Ya04A6gaeHLGFak5W+PStD06VutdaqstOAOILx6DXZNKjtlbPPmtPsPUP7qq+ROODa97OX/okXDHAwVrkoL7gCSNdtxmtqXuVMIIUSKBHhCCHGwlIbmzpxKqfTM9Wm7cxwHIxDAisdRrsyNrjVvEGePmM1RCs2XmV1LO4RpcfvVxvNQhgtnz42qNa01gEnG8GtuDC1zfaDX5SVmphKkuNqo26UZ6LvVrXQXao/tOozd1jg6xl6mpiqFZmig6S2JTnBsDA2Slo3HlXme0h00peF3+1GoNtsH4Gpjk25N01CGG8eMoft9mY+7XTi7BV6axwuWjdnGBBql6Wi+LJxkDMOfOXqlud1kLDjSNDAMNCOzL2reAI7a7Z5pOsrdWq/S2vgaoBTKSL1+yuPOeFj3+bBisYwy9sxCeqD0tteSqr2UCyGE2DcJ8IQQ4iAlXdmETrwsrczILUXl993neY4DWWPHYsfi4ClKD/KURtakszCt9AjPtBRZk86C3b6sK5cX96DxnTdtPac3rpKBaUXZJ3yZpCcnrSzpCpEzI7WO2ty8gtMLRmBoOkFPevB5Yv+pLClbhqY0Bub0ZUCoT9rjF42aRZbWGsSq/H64Q27c+a1bDIQ21dA3WArAwuRW/FPSNwrPP/444lWVkKwmOO5kImsXARCv2k5p0MGMhjlrevpz6lPkxx1opjxcyYUjvgSmTokvj8nFI9OO+0K/KZQE0pOEeIqLMQIKo2gQyar1lJ6Rvq+rkZ2NJ9/XkrkTIHvC6bhKBlNaODjt2JA3m5Anl+CUc4ltWECvs7+Y9rg7Px/vwIEEx4xJKy895yycnDy04sFo/vTNyEPTLyVJa+AXN3VCU88GUv3LatxEzvj0TaKLTj8V8lLr3zz9B+DKzUm/X1+5lMbVq9PK+n7tMix35o8VB8IKFBEYe3JamX/ENKysvSdkEUIIsXeyBq+bkfnfojNJ/2o/w0mg120ivm0lRqgIvddw4q7MPc/2pBRoNRVE160h0CuEHS7HsS3c/cYQD/bB2XMID1DKwdO0jcSWZSiXG1ef0cT9JS0DOpqm0JSDZWcO8hwsj1mPXb0JJx5BDxVjhXpj6z7QHBxLpTatVqDZCTzJehLV27FxqCgooj7ZzI6mChJWkpEFg2lKNFPeVM24olEUufNptMKsrdtAWbiS4fmDGRjsjVvzYdo2jpUaGfNGK0hWVxNev4VEQ5jssWMJ9ytmbcMmysNVTAsNw7+5ksj6jXhLinHn5eIKulC6iZ6Vm9r3TnOjlw7D1j1EGuupTHhpSMCaLXXk5Rr07e0GTwSv5qHEXYpyNFwujVisnDX1W9jcVMbg3H4MzhmE1/GR3LiepuXLcOfnkDVkIConl6QnD6/ZgFm5CbNZ0bRuI65QiODwoSinAauuHDNch7f/WPTsAixfDkkUW8LbWFG1hhxPiDFFIwiQhY6NHqkisWMtdtJP0/rNuPMK8I8ciZmdjxFpJLZ2DdGtWwkMG4p7wGBsvw8NDXeinviWpdjhWjx9x5AM9cXaY0ckt+HgatpBdM1ClNuDq9dYmrdWEtm0mcCQIbgGDMbabcsIo6Ga5lUrSdbWERwzBtW7P1pT3R5l/bB3G7U1dHBQWNaBdUS3FcapWk+yYgOuogGowqEkjPaPTh8t72Htvb+iYxwt/Ut0DUmyIgFeVzdD9FDSvw6epql2vzdFaWZl3RoWl31Ov1BvpvWeRJCc/Z6nlAKctCDOG68itvx9EjvW4Bt5Qip7onHoG6Z6knUk184ntmExnkETCA+fxIdln7Kqeh2TS8fjT/TF05zgGPc2IivnYOQUkzXuZOLZ/bEx8CSqia9fSHzdYgIjjsPVdwyx9YuJbViCd9AE3EOnoSmb2MrZ1BQW81G0grUN2zmu1wSK431ZNruacZP7MGBoPpqmcMVrSa6dj+PoJONZuIMaiR2fg1JkjZ2JGeqP0nW0itWEP30TcMg65lSsomFYmgdPpIzo0ndJVm0h+/gLwLFpWvwqmi+bwPjTiQf74dTuoPrd90is30TW9CmEJh7Ppg2NfPZJFcVFHsZP6U1IqyO8+FXsZIzs8aeRrC0jXrYRvehYKt/9CCPgJ2/yWJzYDvyDx4PbT3TDVqqXLiM8cxzv1C3FcmxO7z2RAd58NhHn9fUfYCiN04pGU7p9K8Ehk4kHU6PBbfUtTVM02g0sKFvCpxXLGZ83mIkqi3zlRvUeS0KlTxfVsTDqNtC8cy1nYOKXsPIHYdp6S31768NKpfrdno/veY7uJDFq1xNe8hrKcJE14UwSoYHYBzhh6GD+H+2up7+HGSTRqtbQ/MnrKLePrPFnksgZgN3GD0Ki4/X0/iW6lgR4EuB1dTNEDyX96zDSHF7Y8ApvbWhNpBHyZvOjE25O2yrgQHjMRur+8zOsptakHYFxp+A6/mtY7dyXb3cu4jS/ejfxbSsBcI47iz9F1lEZqW05ZmLxsVwVHEDz6/9sKdM8fgovuh3Ll0/9c7/GrG1NauIbNB5wiG74FIDQ9C8TXbuI2NBj+H39cmpjrQlEji+dTPZnQ9i+qZGpJw7k+GnFNL16N9gO4eocQqMHE/n8/9KmP+ad+Q10bzZVz9+Z9lwKzrsVlVNKzb9/jB2PoHn8ZE+ZRf3s/7QepBkUXfJjlv/8T5g7s1R6+/WjeublfDxvt+fgd/HlkxLY8x9pve4pVxBvhHX3pWdEHfLNK4gufxH/+K+x9u6/ot9+HX/c+lLaMTdPuZI/L3y0ZWsNheL24WeT+8ajFHzl58R8JW2+PkkV595PHmR97aaWsmE5/bgu5iO7oD/OiFPTPi899euofvqX6ffl4h8RzxnSZv0Hw1Oziupnf7tbiaLw0p8Syx7QYdfYl57+HuauWkbN879vLVAahZfeQSzYb+8niQ7T0/uX6FqSRVMIIbq5JquRdzZ+lFbWEGukrLm83XU59dvTgjuA5qXvY8Rq2z7hAGnhypbgDqA6O5QW3AEsrviUWjM906Ydj5Cs2IiK1qcFdwDRDZ/g6T205W+lIFGxkapAVlpwBzC/fBG9x6amCi78aBN2YwXxbStxlYyhdtGnaDSlBXcA0bUf07xqTsZzaV76Hipahx1PZZT0DZ5A8/L0+49tEt++CicWbynyTzuJRQvSX5NoJEmDk74NRrKxitolKzKuW7tkJf5R09nxyuv4+/VlYWJLxjHvb1nIkLwBLX87OHzctBUjpwizckPG8bvUJGrSgjuANfVbqC/pS+P853GZrVktDUMjsvS9jDoin7+DYXTMVwFDT2WATecQXT0PXZcRpkPl0mzCC19JL3RsYhsWd1omXSFE9yQBnhBCdAGl1M6pluk0dRBvy22ds5f6D6VejbbWBbZ9DaU0VBvHs0fZrmPaOlJDtSTB1DSFammP02b7WmpsKwOmbuDsfhXbAr2NbJpKx7HttOO0NoIThbPH3wrNyMz6qBk6WEmUYeBYNkYbbTY0A2uP7Q0MTcOxrH1mplR7+QjXlAJNT3u+jrOXrJSGu8PWazoolLGXzKtH78SbDuPQdobe/WXtFUIcfSTAE0KILhDUgpw19AtpZSVZhZT6i9tdl8rpjZHXO73+SV8i6d1/spd9sQKF+IZObvk7v7aS/tm90o6Z1us4CtzpmRv1rByM4oFYvlzcpemZIgOjphHbtKzlbxvw9h9LYX0dvbPSR8VO6j2dLZ+mRqFOOHkwZBfjGzqZ+LZPKJxxHJblQ+2RudE/6kQCI6enB39KI2vsKTj+PPSsXAAi65eQNXpG2rnK5cXVZwSuvNyWsuYP3+H4aen3NpTjJeTsNqqnNIxQIbnjR6S2LNhF08g9djiRtQvofc6XiG7fzmS9T1oQr1Cc3G8ym+q2td4/pTEl0As70oBRtPdN7PM9+RyzR6bPCQXDyN68htD0S0jqgZZyy7Lxjzk5474Exp6CZaXvV3iwLMsha8KZpIXrmo536NSjemlFRzFtjawpZ6cX6gaegZ2YSVcI0S3JGrxuRuZ/91y6rgFOl2ZFk/7VsVKjTmqvX6ATKsb6xg0sKV/GgJw+jCscTZDQQV3Lm6gluflTEhXr8Q6aiCoeTmK3L/i7KJXqa5Zlp0Z19vh7Tx6zEWv7cuJbluHpO4qmfsP5rHY96+s2MaZwJK5YMX7TZpheRnTdQlyhYryDJxAN9MVB4UnW4dRsIr51Jb7ew9BKhmBWbSG65mO8/cdg9D8GZVskNy6hNjvEcrOR9Y1lHFsyhiK7F/XbkvTul4PXb6AZWqo9O5ZjN0cxkwFcAR2rYRN2LExg3MmQ2xfTUeiV64msmY8iFVSauQOwlQsvzcTXLSS+fQ2+UTNQSiOxYw0A7oHjMYO90RNNRDZvxq6rRyvMx1Xci6qqJMs/r2DAwBz69A/ht2qIrZ6H41j4h00h2VCNWbEJPX8UtYuXApA7dhg4dfj6jcbWXcS3lVO/YjXhqcNZ3LwJG5upBcPoY4TYZjjM374EQymm5A6iuKIcT59RODl9ME27zT6kaYpmwqysWUN5uILBwWL6NMfIdWdjFwzBVOn74mnKwd24heia+eA4+IYfTyK7HygNXddwnFTinoMN+AxDw2UANZuJLJ+NMlx4hx2XkRV2f/8v2kPTFJqmMM1UXT39PUzDwtWwmdiquSi3N3V/s/rICOlh0tP7l+hakmRFAryuboboQJpt4WzfRO3sj9C8HnKnTcMp6ZM+newwkf7VMZQCT6SM2Jr5WE21+EeegJU3CFNlbhoNqQDLth0O9e1YqdTWAnv74uxJNmBt/ZzYlmV4B4zD3Wso8W2riG9ZjnfAOPQ+Y4kb2Rnn7arXtluDQk3TiFrNrG3aQNyKE0lEqI83MSDUl0HZA/CTRULF2NC0iYU7PqFvdm8mFw0lsHQ+drgW/7Ap4NhENi3FMVwEhkykaf0nOMFcavoMYu72zxhXOpKNtVuoaKriuJJxDA4Npp4In5Z/jmklGREsYVCglIQvC2vLdsJzF+DEYuRNHIMrL4BVWMLShs1UxOoZXjCEzypWUhWuYXKvsYzUsvChMKu2Etu8HP+I49HdHppXfoSrcCjJmIe6RZ/i7d2L4KASbI9GjTGYFZ9XEAzoDB+RQ25hgKQewLKclnuiNTcQ37QROx4hNLCQ5jULcKwkgWFTUNkFOMqNWbmeZOVm3L1H4OT1J6F8KJXajqDx00+IbNpCwbTjcAdsIqs/wFXQD9+QSTR7e7X2r+YdmGVr0Pw5JBtNahd/jnK5yZlxAlrpQNr6mFQKtIrtNC1fitUcIXv8eLx5Huz6MqIbPkVzefAOGIvjycIM9cPiwKb+ue0IVG2lef0WGpavJjhsCNljR+IU9CFhp08x9cYqSaxfSLJmO77hx2MXDcVUB7d/njdelaqreiu+YcfhFA0jp7joqHgP2xWQH83fh7qCfEaKziQB3lH8hiZvLj3Q5rWs+cWvWv5UhsGIn92BVdxnHyd1DulfHcMbq6D63z/FScZayvLPuZlk6bFd9ku7y4nT/OZfiG9e2lLmG3gMynC1bAbuGzYZ30k3kDyAL/ZKc3hty1vUxhqobK5mbc3Glscm9z6Wq0Zdwoc75vF/y1szRuZ5srkl7xj02c+S98WrqH3nUXBscmd+hfp5L6B0gzUnncsDa9/kwlFf4o11HxBOtCZwuXr0+by/fREb67e2lH1r3IUMiGez/ee/T61Z22not64kbpXzkLuJU4eexMOfPE1DrLHl8UtHzeL4tauJrpyLMtzkzriY2vceRw8V4wQnsf25/7Yc6+1divaVb/HyC+tbytweg8suLCbYbwDmzn3mdMek6onHqJ3/MWN+eCNVL/+59YZpOsUX3kb16/9MS4gTOuHLMHYWWnUlq3/6E6xoa58ZePWlxNe+iJOIYmQXkn/BbUTchXij5dQ8+xtCU2aRbHax9r5H2W0zRIb87EdopZlTO/WqHaz6yU9xkkkAhnzzcjw5OrVvP5LWzryTv4YKFpAoGptRx540zUGtnU3V7BVUz5nfUh4Y0J/B37iCWH7rFF1vopaap+/AjrS+DjlfvBpnyEnt/lz3JOupe/oOrOb61rpO+hq5086jujq89xOFOATyGSk6k2TRFKKHMDSoeDk9K5pjmtQvXChZ0bqxZNmatOAOoPGjZzCc+F7O6HxauCItuAOIbvwMT0lrIBBdsxCtueqA6mu0m3h13Xv0ChalBXcAC7d/Sq1VywurXk8rr403Uh7w4yrsR3zrKnDsVPKTZAwnEcUZdTzPbvs41V6l0oI7gOfWvc2ZA6anlVWYUZo+XpwW3AFUzvkErXorZw2YRnm4Mi24A3hhzdtE8lLrHX2DjiW84qOd/z6OslffSTvWO2Isc2aXpZUl4iblVSZGdLfspXU1VL//Ab3O/RLhPTNW2haR9UvQPOl70zV+/CKuRD2R9WvTgjuAsjc+wDdwEgBmYxVWTSqwTZatwddvFPGKzVTP/yx9V3vbpu6jzKyVSimali5tCe5coRCGH6LrP8loZ7J6G5Fl7+FSSfbHFa/HrA9T/dHHaeXNmzYT2bwZt2rNcmrXbEkL7gAa5zyNy2z/F2andktacAfQMPcZzMbqdtclhBA9jQR4QnQhx3FwTDOzfI8vq6KbsTOnSDq21QWTbne7/l6GDp09skG2pK3cf4Wp/rvXx8Fuoy4HUJqG46T6uEK1tM3ZOQ1013F7shwbfY8slArV9v8h2yKVh1O1+dxtx25NiKLUzuNT/854/TStzREmx9njvu78t6ZprfXt2SYtPZOl49jgqPTMnbses+z0pCiOjVKk2rez7bbZxutlmm1mN939fUXpWuo13Fs7bYcDGW5Wu45p61jHTj2/XX+21R/auP6BaLM/23bbHUcIIY4yEuAJ0YUsR1F81qz0Qk0jZ/Lko3oqcnfnKh2Wkbo8+7jzSe6R9OKwChbh7pW+obWn9wiSVa3ZGz39x2JnFR1YdXo2Xxh4AtWRWvqF0rNMji0eQa4rjy8NS88SmuUOUBKLk6jYjLdvKvujYyXRPH6U4UZfMZ9z+kwBUoGb10i/X+cMPIlXN6fvXZeruQlOnZSevRIonDYeO6eAN7csoCSriIDbn/b4rCEn4atI7UkX3fAZWaOmARDbuIDi005KOza27FOmnVCaVma4NIoLdGx//m6NySd36hR2vPw6WWPT60BpBIZMxAqn7yMYnPglkp5s/IOHoLnT12iWnDqd2KbU9Fk9kINe0A/HAVevYUQ2fY6noA+Fxx+zx3UUOdOntSQd2cVxHLLHjUPt3BoiUVuHldDxDx7PHhXgLuqPb9SMva4Z3V3Sk4Me9JI7eUJaube0BF+//ml1aPn9UJ701yH7uPNJ6PueatQWPa8Pmjf9vODUczFC+Xs5Qwghjh6yBq+bkfnfPY9uJ7E2rafy9TfQvF6KTj8NevXHPpj90A6R9K+Dt2vExHFSCTc84W1EPnsLq6mGwLGnYRcNz8hq2DntSLWlrfdJb7KWxLoFxDZ8gnfIJLwDxhJb/wmxjZ/iHTIJ16DJxF05e61L09LrjaoIy2tW4iibmkg9q6vXM7F0LOOLxhIgG1NPsLJ2Fe9tnsfAnL6c1OsYAgvfxgrXkDVmJgoIr5qP8vgJjDmRyNblJAwXG4uKmVe+nGl9J7KsYjUVzVXM7DWJkXnDCKs4b254n6pILScXjWZUqB9mVi7mhi00vvU+djxO0YwpuPO8JIpK+LBiObbuZmjBAOZuXUxFuJrpfSdwrL8Uv2WRLN9IfMsKvMMmoxsumj59B3efY0iGDarmzCPQry85YwdjuRUVaghLFu4gJ+TimGPyKCjKIqr8LffG5dJwGhtpXPgxGibZw0qIrF2Ik4ySNfZkVKgY27SIrfiQRPl6/KNPRO93LEk9gOM46BXbqXr7LeJV1RSfegreXIPmlR/gKR2Kb+hEop6iloQunvA2kluXoWcVkGiwqPxgHprbTd7pX8TVdwiay4VpWjhO6+umcFBlW6l6801c2UFCUybjzXFh1W4nsmoeuDxkjZiK4w5i5Q7Yb4C3axqonmiEyq00rFhH/SfLyR45nLxJ47CK+qb1+V3Jh6LL3ses3op/7MlQOhrLFWj357pS4ImWE13+AWblZvxjTkL1Gk2opKRHvIft6/+x6DryGSk6kyRZOYrf8OTNpecy9NTWybJNQveilKLaqmR51WpM22RM4QiKXMXgKHRdQykH0+z81zT1hbeS5LZlWNEmvP3Hkczuh0V6FkNNU2gKLDsVjO759y5NTgOratdRFalmZOEQFBrLKlcxMKcfg7IH4CPQcl1NV6mpkDjYFhhODLt6DbEty9FzilF9hjO/cSuapjgmfyRZejaOAx6rCaehAivu0Lx+K7GyMoIjhuIbOAAzVIICXHYUu6kau6kGq6GCZFM9qnQ0TsFAssxq4ltWYIVr8PYdDf58wuu3E6uoJDh2LJT0RYWraVq2jHh1De5TT2CH1cimmi0McRdS1OSi0g6S1DWGZMfICnhJVG9Gz84nmVOER3Nhbl+LlYih8gfgmI1Y9ZVohgs9vw9rEvX0dgcJhhvRdYPYlhVoHh/e/qNJRiC8djOJ2jpCx4xF9RmAqXYmY9EVWiJOctM6mpYuxVOQS9aIISSad+DEmvGWDkZ3+Ylt+ARHaRhFQ6n+fAPKtAiMGo0q7YOma7ijjcTWriG8bh3Z48bh69sHJxEjvHIlka1b8Y8cRXWoD/M3RRjWN4dBvbIJOhHMjetpXL4CT1EhwdFjMPNLURpUNyRYtaUWTSlG9Msj29fGxuikMv+qbetp+OwzjMD/Z++9o+Q4znvtpzpNDjubA3LOiQRzBEkwgTlTJJUly5ItOcm2JPv6flcO17KvZVuyIiWSEsWcMylSzAkEiQwQaQFsTpND5++PXs5iMEsiMJPznINzsNVV1dXd1TX1dtX7e4NE5s3BbZmAkDVUVcZ2QNert82+hSxLCFwkM4vbtxWzbydqy3RE84xDXs2TZYEAbMcL8fBJGMPk1CD5jRsx02miCxYg2ifiSOM/ixofLJ+E/lXjo0vNwKsZeB92M2p8Qqn1r0NnyB7g+8/9EMP2BCkkIfG3x3+DVrX9ACXfW/z6AMO3/gNOaUyYpOHiv0avn33IdRXI8X9f+hGDhTEBkYvmnsXvdzxHWs9yRNsirpl7GYpTrbYpSQJ32+/J/P7GsbS6Fl4/4nh+t+sZIlqIvz3uT2m0BYUXb0FrXcCuG++n1DMmYjLhigtInHQithwg9/iPCbRPJ7v+aezs2PbGpiv/nuEH/qsiLXHGF3jzv+/ETKVACOb+f/+Lbf/+H5gjSULXXcxP5HWMlNLl/F+YdCbNj2/h6Y7jaKpTOcn8A2ogTHbtk9SdfDXpl+/FKeYQqp+64y9h5KnfjF1TMEr9RX/ByCM/J3HshQze95/lY+EjLmH3rU9iDI+1beqffAN10bLyilrx2afY/atfl4/721rpOHsp+XWeemd4/kmYI93oPdsRskpo6ZVs+9GNCEWh/c//msj0yQzfcjMDv39y7L5ddQXJ1avJvbl9rC0rz+FXhUns6M1x8SnTOd3dSecvxs7ra2pk5t9+m2e6XH56z5gIT0t9iO9cdwQhrfIDAYDYtoGt//KD8t9KOMzsv/5TzNYZB60Sq2BQeuZXFLe8WE4LzTsR7bhrsA4yPMN4fNzHMDk9xLZ/+N9YmTExmhl/9ReImfM/xFbVeIuPe/+q8dGmpqJZo0aNGh8BJEnwWt+6snEHnnjHozv/UKVi+H5j9WytMO4AMs/fdlBKiPvTle+pMO4AHtv+DMdO9BQdV/esZdgYHq8ompkh++ztFWlOso8ZeFv1skaenenduMkutIYOzIxZYdwB9Nz7KPZQPyI3gL57PULRKgw5ofmxh7sq0gDSL9zFhMvP8/5wXQo7d2KOJAEYbg5WGHcAd/a/gNSeYEnC4Y4XB8jWzUKJNSJkFdco4BQ9uf3gjCPIrqtUxXQKGez+ToKT5pN+9cGKY1ZRqjDuALp+81tkvQCAlEvTdcutFcdLPb047tgPdm7jswSmev5xrm3i5Pbgb2nGtSyKr72CMzjAwJP7K3U6FcYdQP6JRzhjhrfa6ivl6Lrljorj+sAgpd2d/ObRLRXpfcN5ugaqww0otknX7XdWXm8uR3bzFlSnWJX/7ZBzAxXGHUB+4zPIhYNTcf2kUtqxo8K4A+j63S0o1oenwFujRo2PHzUDr0aNGjUOEyEgbxSq0vNGoVqd8n1uh2NWTwAdvYg4WFXMfbCc6u11uqWj7SMcY9njb8ET2LiWUZUu7aMSqdu6p+jojq8Y6xiGlz7ajv0VJoWs4I5zfscoIfvHgma71ljdlqh+HiVLRwR8SLaNaTs4kuadS5Ir6pdUH45Rbbw4loHsD+IaleEN3HG2Wdul0pg6p+PgGNX3qOI693turlVC8nlGsl3Iede2/3LZOMtnrm2j4NXlV4TXjv2vwzTRjernYNrj9B3HwS5U93lbNxAcfF9znbf58PA2/erTgmNUv8d2sTiuMm+NGjVqvB01A69GjRo1DhPbdlnetrgq/fSpJ3GY6u+HheuC1jarUlIfiCxfdVjKnW2hFnxypcDG8ZOWs7p7nXc80kxjoGHcsoYSI7jo1Io0oQXo10b9z4TE1PgkpLpWzPQAatSHHKiMDdd40rEo9Q0QaUKONCAUtUKV1CnmUOrbq5RKI0tOp/u+sdh7gYkTEKqXpzEH6n75VzYfgb1+G7vtACfMqyc8uAHXMnDNEnIwVr6fhR2vEZ5bGX8PSUZtnkJ2/TNEFlWqhaoRpXzet2g571zsgLdC54ZjNJ1+WsVxORBA2ec2+CfMwRjoLP+t1M+ksMeLgxdcdgxKQyPhWTP3a5OEGo9XJAUXL+WVXs9o2lUQNK88vbKIz0dg4kTOPnZyRbpfk2lvrN4CZGt+WldVK/9GZs3APAT/ORFpRm2YWJGmNU/BDTcedB2fRIJTp5WVTt+i5bzzsPdTH61Ro0aNd6Lmg/cxo7b/u8b7Sa1/HTqusOks7Oa+Nx/DcizOmbGC6ZHpKO7h+xEdDpJw0VK7yL58N3Y+TWTZ2dCxCFMKHLjwfgghGLD6eHDbE/Rk+zlp8tFEfGHu2/o4C5pmccrE44iKurctr9op9G0vYmx8Dqm+HWnpCn6251kUSWbVjDNo1doQCHz5bpzMAI7pp+/Rpyh2dVN/9BHUHbUMM9GB40r49QGKm57FX99Kfsca7GwSMflopMlHEnUHybzyIFZ2iPC8E1AbprHrhjuxikVaVp2Lb95CrMEuBu97CKdYwr72XB7tfYW+whAnJxYwuxAmRQM7MzZHt5k0xTQyrz2Cg4u19FRiQiX/6iM4pSzhoy/Eyg1RWvskhOKEl59LvyQTdi3CmSSYOrl1TyH5QkSPPg8j49D30OOUBgZpOv10QkuXYe0j668UMmRffoGhp58l0NZC6zkrKfWuxuzcgH/GEQSnLCL59M0gyYQWn8XAc+sp7u2h8axzUKbNRPL7UJP9DD/1FOm16wjPmE7TmSsRrkPfww+T39FJ/KjljExfzC+eHeDIOU2cvLSDRjtF6qWXGXr2BQKtzbSevwq7bSq5ksWaNwd57JU9TGyJcP7xU2iK+cf1qVOMIqW1q+l75HHUaITWc1eiTp6GLocOqZ/59SGKG59C71yHf9IC/AtWUNLeXZiDj/sYJnAR3bvpvecezOFhms46k8DCJTUD7yPCx71/1fhoUxNZqRl4H3YzPrF4Mt79WAM7AFCap6EHmg9aOODtUFwDOb0Xa2gPcjgBjVMx5Mh70OL3llr/ehfIjhciwakWpfggUYSDwMZCfdf9VkguNjayq4JwsTBRUMu7B4WAXC7H9u40Bd1hWnuMpvoYvKXOSQndltjZV6RnKM/ElgjtiSCaLCEXs1i7d6L39xFobSIwqcNbiiylKA3uxWzqYCAUZG+mjxY5woQRF71zD0o0gtbYCLEw1t5elKCGvymKNbwHIavIda0kFYldxSGKtkFzpIneTB+KrDEp3kGDqeGOpCh0d2MaOmJyG059iJjQcFJ92CO9KLEmkCJkqGNnyqJoOExt1pgUd7EdE0Xx4SR7GNAUOs0cFi5T4x10yEGwTFyjiJUZIuNrY7go0Z93mdsiE812YmWGkOtaMOua8Rcy2IaFGq3HKaWxcmnUaAOOWcKxbOSmKYzkVPq6ksjCpq01SKi4CzubxGlso6j68GeTKHKAjNbOQF8J17ZoadSIh2zscCMWMq6lo2X2Yg/uQU60oUSbcIt5nGIacHFjE9H3do8+i2bUEDjFJErLNPRgK64Led1mV1+GVE5nSmuMtkQAn2sgJDDQDrmvCQHyYA/FHdsQQhCcPAEamjCkED4ziTO4E7eYQY03YelF5FgreqgNl3f2bT2UMaxQLLK9O0WuYDKtLUJbQwSbj4ZapYyDcBxsWTms9/ite+gUcyjNUzDDHTi1TVvvmtpvZI33k/fSwPtojGQ1anxE8OV7GLr1f+Oanp+KUP00XP53lIJth12nEMCulxl6/Jdj55kwh/DKb2BIta+ynxhs6QBTzw8Gy5V4r3bfu45AQvH8CV2QUSs8C3PZLP9w0zqG0p7fkCTge59dyqTmOI7jYroatz65gyde3VMus+r4KVyyvIXeX/+K1GtryukTLr8IRd5NaftrAOTP+SL/8sbD1PvjfC0/m203jwl7TLruMww89TR6Xz8zvnYl/Tf/G4y2TI420nXiefzXlvu5bvEl/MsLPyv7FIa0IN+feDl7/9+PsLKegIhQFOq/8w3Mke0UXr6/fA5t9tG84lvBb5/aW762v71oInMCQ2Q2v0hqxkL+b9ezZR9MRVL49qxzmSYHyW58jmTTEXz/ye1k8gZzJkSYMXUnQ+sfLtcfmncC2WIWJAmBoDB63QCRxaeh9+2itPAabrl9D86oT18gqHLJaTLuczcBUHfqNaSfvxP76K9y24PrMUf96FRN5rJzogT9g/gmzMJ8+XcMr//DWP1LzsDo34Xesw3/pCVke/0MPTcmeNJy5gp8aifGk7+m8fK/Y8TXzr/dsobO3rGJx7euWMLCKXWH/RFB6tvL5v/1v3FNzxdPDgWZ8fXPEpg0lZF7/hUr1T+aU5A49RqGHr+ehgv/klJ0yuGdcD8KpRL/341v0J/0fCuFgL+9aj4zJjV/JD4i20ggSRyOK6/PTJK6+5+wUgOjKYKGi799WIq6NWrU+HhS+5xTo8YosiwobnqmbNwBuGaJ0uZn35UiomamST3924o0fe9mSHUddp01anzYSJJg656RsnEH4Ljwu8e3j37VgKGMXmHcATzw/C70np4K4w6g6677UaKTAFCbp/BkZhembXJm3SKSd9xfkdcxTIp79lJ/9BEU33ySfWfBdmaQhnye6YnJrOvfXCEYIwmJ/LYdZeMOwLUs4pkchVcqlTCNLS9x1KSxso4Lt76cQlej6IN72OgWKgR2LMfi8eR2LLz3e1M2SibvCamcNT+Au+HRivrzG5/F3zELf9vMCuMOILv2SUKLz+CV17Nl4w6gWDDZm4oijfryZV59iOgRZ7N5j1w27gBMw2Zrl4K7/WmU0jD59X+orP+NJwhO8xQ65fqZFcYdQN9jT6F1LAXbIvfaw3QN5iqMO4BfPbiJknV4wh+yBIOPPFI27gDsfIH0xm24qe59jDsAl+za3xOcvpTsi3eiSO+Nc+vO7nTZuANv8fimJzpxxhFN+rjhDnXuY9wBuKSf/g0a1cI+NWrU+GRSM/Bq1BhFCIGdqZbottKDCHH4Bp6wrSqVPQB3HNXDGjU+LgghyBaqFQ+TORN7VPFPN6sn467LuEqO3mTf294q/CGGDS/kg+aIasXJ0fqVaAinWL2dRTENor4wGb1S5j+o+LFSqeprMfUq1UoAya48bypnYtkgB6OkxjEEhvQMjusiVD+pwti1q1jj1u86Nu54ajyuA7JGLld9f/NFB0nz/CqdQgY5FCOTq647k7U9VUtrHFVK1ykHtXfHM9Icp9xcJzs0rsJmNm9gjaMWejAIQB+qDrNhprLjqqPahTSyP4ydSyLeI/WiwjiB2FM5o9x3P844+jgqp/k0vJ1yaY0aNT5xHNDAW7t27QfRjho1PnQsyyE47+Sq9OD8k7EO80s1gOWPEZixvCJNqD6kutbDrrNGjQ8b23aYNTHO/t8+zj6qHVX2floaYwEa45UiL+2NIQLtbcihSkGO6Ly52FlvO6TZ/San1HsKkWuNHsILK4M8C01DKAojL7+Bf9rR+7VMkI7G2Di4jcUtcyuO9OeHiCxYUHUtejSO2jSpIk0OxenVoxVpZy6KE9Fc7OwIi8LV7+9pjXNRJRkcm4UtYzdmy7CMXD+hsv5wHY5exDVKyKF4xTG1cSJW9yaWzK8WLZncKrDS3oeo0Nxjyaz9PfOnVwv6zJ2uYNVNxQ0lkCOJyvrr27EyQwAIUUBLVArmBCZMwC15x0OLz6CtIYyy3y6G046cSMh3eP6mlgNNZ5xWlR5fMAMpXF+lBhuacyyFHa8TWrIS6zBUYcdjcmsUab++e9ayJvz+j/+2eaVhUtU9DC9ZiXmIIjg1atT4+HJAkZULL7yQu+++m+uuu44bbrjhg2rX21ITWak5+L6fKK6O6FpL5gUvGHD0uEtw2xe960mF30xSXPsohc3PozZOJHr8FeiRiXzUNI5q/avGoSC5Jtu7U9z0xC4yeZNzj27n2AWt+LSx92Ukb3LHU9vZuHOIJTObuODEqdSFVOSBHrpvvYX8jl3Elyyg6ZRjUXwWmZfvx0wPIk64mI1hPw9u+wNXtZ5I04vbGHn5VYITJtB87lnIPo2uW+8gPn8mwVaFwqankUNxokeeTV99AzdseZjWSAttkSYe3/Ecmqxy0awzmDbgIpIZeh98CFc3CJ51CsbsdiZH68mtfhi7cz1y63RCy87hzWSY3zyzl0ze5JwjmzlhmgZr7iI852hyg3vY3tLKnXtfxrBNzptxCnN7ewmYhhf8fNdmtgcXcctLI+iGw/+6uB1100Poezbga59F+OjzyL/+BPqejSROvorc5hfRu7finzQff8ds8m+uxn/C59i22+alZ3ahqhInnTqRRM9jGLtexTf/RNRJcyk8dTOicQb9jafzwjNdgODYo+K0RdJoLTMgFMNf7Cf74h3oXZvxT15EZMnppF96AKN3C77JiwjOWUn3XfeT3byZ+OKFNBw1l9wb9xI96jzEpCMw5QBdwwV++8hW+kbynLpsAqcu6yCkHb6gkGyWKL3+Kt133YukKLSdt5LwvDmYkWbU4e2kn7kZO5ckNOdYhKIgAjHkqUdjHMBIOegxTAh29ya56dFtjOQMzjqimZMXtaL6P/5GkCQc1JEdZEbvYXjJGSizTvhICnt93Kj9RtZ4P/lAVTRXrVpFY2Mj69at44gjjqg6/pOf/OSADXkvqRl4tcHl/UYIUB1vC5kpjcmEC+GiFfpxRroRqg+RmIiuRN+hpkok4aLYBVxZw/yAJfQPlgP1L5+VwR3Zg2vqSIl2jGAzrvtRkBb58JGxULLdOOl+RDCGG5+AOY6IjmM7pIaL5LM6kbifWF0Asc9SguoUEaku3EISKdKIHW3HEpUx6VQrhTW8C9soIupasCNtKK4X4Fuzc5Dcg1vKI9e1YoTbcNzD240vhEAa6Ufv6sJujNIfEaSsPA2BBM2+ZmRXRRYObimFkc8TFkWEomKlh1AS7UiOgTncjZAV7ObJ7HGKDOUGifsiJAIxutI9ICQ6om0kSylSpQzN4Qba8GMqCj1Wjv7iCAHFz6RgA1mzRH9hhKAvSNwXo81WEKk+nFwKOVpPIRKn00gypejH6R1EaCqhCa0kIxpZ26An20dQ8THV30QoX8JSNayAj6JdYne6j5DqY4oSxx3KUBQhRgwNy3JoaAwStXcj41IMRdljZMg4Jk1qnJgpowaDBIsG+b09mBZYjS3ktCAdERtXUikB/W6KCUoEn+FS2tONlcsQaGnE19yAmTUo9g6gBPyY6QxCkVEjEfThYXxtLfSqdfQkTeoiKhMTChGhYyV7cUpZlEQHetpAkUo4Zg4pEEJSVISQEJKMlR3GciTkRDtOpoDe249WF0NriOHkRrDzKZRowuuzaFjRRiTXRNHTOIU0GAWEouHqRWzLQIo0gqJiBRP0OjkG8gOEJIUOVyEgQozk/aTTBqF4CElSyOV0Eg0hQtFqpU0hBKpRQMLE8gWxnDHdNxUDydAxBwYwBodQ6xuQWtux1bFA9mN9PYcSqcPWi6jBCHqwBeugw4NYWKaN3++v2HIqY6Nku7z3ORCDugnvWhRLcUpI6S7c/AhSpAE72lH1bh8ujuWSGimQz+pE4wGidQE0yUByLEwldEjzpvI4b5SQEm0YwdYDqpd+WqjNwWq8n3ygKpp///d/T1dXF7t27WLlypUH38oaNT6muC4YYnQSsc9voi/dyeBt34dR0Qa1YQKxVX+OrsYPql7HFRhS6LBU0T4K+MwU6ft+gDk8Kg4jKTRe9p33TNXu44wkCaTO1Qw9MvbBKzj7WPwnXIspxiakrguvv7iXV57rLKedtHIm85Z6UvSKa2C8dje51x8rH4+fcg3SzFNxRg1pn5kidd8PsPZ5Dur5X4fmuQQtk9wTP0XfvX60tKD+/G9htiw8LLVDqX8vW//h/8M3bxavnNjGk5vGhFGuWnAhxzcfjTK4laG7/hVchyKgtU7D1zIVNRCk/77/xDV15Ggjm084i+u3jgUhX9I6H0WScVwX+jfwWs/68rEvLL6UgBbkJ6t/WxZJaQs3c+ykI7hjoyeGcsH0U0j0p8i/PiZeEjnqQhrqJrP9+/+Ga3u+WvFvf5VOQ+LGtXeWV8xn1U/ls04d4tWHsS/+Fv+69X5SpQxXtZ+MfcvzhI8/nSe2B0gmvQ89siJx5VUz4c3bebAlwbM9b5TPec2UlZxoTGbzD/4LM5ny8gcCuJ/7Bg+XJM6alEN/7BdIK6/hmWyKqXe9Rn7HztEbLDHrL/6UnT//NR0XXcDOH/1P2d9Qa6in6dRT2PnTXxD+8jf4yR/SGJbDacvaucD3AvaWpwFQGjqILDiVoaduLLcpMH0pQpLxtc8i/dI9OMUcki9IYMEldP7qNuZ8588pbH2J3JoHxu7dkpWYqX4ix1wEjk3m5XuR/EEkXxBjoBO9Z7uXUUgkVlzD5mgfP1x3R7n8ooYZrIyewUO3bCinLTyig+RQnu49KS7//BHEGyoNJNd1MdQAEID9dsHbrkL6md/Tdcut5bSW886l7twLsCUFzc6Re+zH6Hs3jR4VJE79DAMP/4TQglNQll6AxcF8SFNQVKXCuJMkgbR7NUMP/085LTjrGPwnXIcp+cer5CDOYmK+fi+518aUVGMnXY00e8Vhf4B5C9d1eeW5Xbz+0t5y2opzZjNrYQuupHkKQQeJz0qTfuA/MAd2eQmSTOMlf0MpPv1dtbFGjRofLAccVf7pn/6JCy64ANu2ufDCC6v+1ajxaUDFJP3MzWXjDsAc2oszuPNDbNUHizOwY8y4A3AsMs/egirGEXH4lKEaSZJP/roirbDlBaRMT2VaVq8w7gCefXwbxfyoVHy+v8K4A0g98zu00kj5b2tg25hxB+BYuC8/SMlMQ3LvPsYdgEvq99ej2vlDviZZuPTf/wCOrmMdt5AnBypVL2/beD9Za4TUE9dXCIgYvTvwT15IZu2TZSEhfdEJ/HbHUxXlX+/dwJS6CUxLTKww7gDWDW7jsR3PVChg9uT6Cap+5FHfoin4Kow7gOwr9xIeHikbd2o8zkjCz0NvPlmxHXrr8E4GJ05DCkZZXxwiVcoghGBySsbqHyTpby4bdwC25fDiiwNY80+uMO4AHup7hdTGrWXjDsAuFgm+8QIvb88xYIZR65qJb1vLEjMxZtwBOA57br6N5jNWkFzzeoWYjDE0jGuayD4f1oN3cfJcLwD4E691M5xYWM4Xmr6M1HO3VbSpuH0NvpZpZF65n/Dc471T6QXc7E7azj8XnBK51x+qvHevP0po1tFkX7yT0rZX8E+YTX7zCyjRhjHjDsB1yLzyEN25SkGqtUPbGHAyFWnrVncxdVYjjuPyh0fePKSPWyI5RNdtt1ek9d33AO7wqDpkcu8+xh2AS/rVBwnNPY7s6geR8wMcLqqRIvn7X1ekFba+iJTtGb/AQSDn+yuMO4D0s7egFqvFZg6VXFqvMO4A/vDIm5QKhy6q4g51jhl3AI5N+unfotYUOGvU+FhxwBW8TCbD9773PSzL4v/8n/9Tdfy73/3u+9KwGjU+SkiOiZ2unjA4hfSH0JoPB6eQqkqz0v1IjgHiUx5S0zLGV0rdT81OL1Ubw47jYug2/qBalR8A28I1izDq1jbec3Azg2Dp45a3c2kk2zxkzWTh2JR6vAmtLlWLDFmORcku4ctUT1CFomHt875YqoZuVavG2m+jiBjWAmwf2VWVnjPyaIpG0SyhWuNMXl0HZ5/noEYj5CSX4WKqKmsRBzkQobfgGc+qpCDlisgBP6lStSUyMlICJVGV7ld8lHr7qtsy2Ef9DJWCbhENxSE9BMHqSbI+NIwvUc/w0MtVx4xUGjkUwhgcpCk05u9WsCTio/8XiloR2uUtXMfCzqeR9vEps/PD+CbMxTXGVw3FdbGSfah1LbijxrXrVPdZKztMRKpeHTOofsZvhXlIJQs4toOkHFxHdEqlslpqRXrB6+Pj9/UUctDbNu8aBThcdzpLxzWKVcnjvp8HiatX14djg1mCw1sULDPeuGLbDqZh4wsc2tjslKq3h1npQW+cl96b7aQ1atR4/zngSPtf//VftLS0IEkS8Xi86l+NGp8GTCVIcMGpVelK0+QPvjEfEkrztKq00IJTa8HaAccfx9c+qyJNKBoi1lKRFo37CYQqJ8bxRJBw1LPeRLQZyVd5P9X6dtxQ/djf4zwHd/ZRyP6Yp8y6n3peYNZRWNqhiyvYkkrjihVeu5M6IbWyXW3hZuL+ekLzTqwsKCSs9ADhOceWk4J9e5ger1SR1GTPTwwEPrly4pgp5TimY1lVm+oDdRRHjZl+GaRA5XXJsSZEeEwRstjdQ6TockTbwop8QgiaDAdzpJdl9d7WM8M2KbXGMdMZWqLVBt6ixY0o6b34lErBJZ+sEF+2uCq/u/QYBjIGTRGZUs82SjOWkK7zs7/saMPxxzL4zLPULa2uI9jRjjE8TPCY43hulxfyIeBTaJTGPiyZwz1orZV9QigaCEFgyiJKXVvL6WrzXAZ+/zxSMIoca6ooIwUi2KUMoQWnIEcbcG0byRccrauyTwVnLWfQrjTmZCERK5udo/lCGqbhGR8Ll3WgHIIoi1xfj6+xsSJNiUZRGr12y+P09eD0pRQ7NyAFIohI5fUdCo4/jq+jMii4UDSk/d7nQ0FEm5D8lT4zSrwF9nm3D5dYXQCfv9KQa2gKEYocukG2v9orQGjByZjyO/v71KhR46PFAQ282bNn88d//Md8+9vf5utf/3rVvxo1Pg04Dvjmnkx46ZkgK8jhOupXfRMrOvHDbtoHhhWdQP2qP0UOx0FWiCw7C23OyYfl2/VJw0QjdvqXCExfBgjUhgk0XPI3GP6GinyqT+aSa5fRNiEGwKRpCS64ahHSqAS9ocWpv/hv0FqmAuCfvIC6c/8EQ4wJRtjRSdSt+nr5OSiLTsU3/ySCRDGCLTRc/G1v4igkgnOPJ3zsZVjuoasduq5LcMky2i6+CP3+J/lG+1lMHTXS5jfO4o+P/CyK7Sd45PmE5p8MQkKJNZI47Tqyrz2CUtdC9MhzPAOhcyNfnHUWS1vmIhBMiLbytSOv4dnOl3l2zyt8bfk1TIy2IRAsaZrNpZOPZ3nLPE6efDSKpBDzR/nqEZ9hb6oXgaA10kxTy3Tqz/smarPnA6q1zSK08ou8pmWoP/1UhKKgxmK0luDkSctZ3r4YSUg0BhP82fLPEn7pIeRglMmKn8/Ov5CQFuSh4mbavv5lxBvPsvLUVoJhDVmROOrYDqaGe/Ctf5FvL7uGidFWBILFTbO5yrcEX12UyZ+7BiUcRvL5iKy6gM7IBL5+Zhvq3tVIC0/iRUVng5Jhxp//KVpDPUKWaTzpWJpXnEhs8UIc3aB55elImoYSiTDhistIrV1Hw6mnkFlwDJ19Oaa2Rfje1fNojslI/hBC9SPXtRJefD7+iQtH+14HiVM+g5UaIrL4NIy+nQjNT+TYSzGLGpmNmygNpUis+AJam/dRQm2ZSsOZf4Rj6CgzjkOZehSu41B30hWUuraSOPUzKLFGr0/NXI6vbQYntS/lqI6lCCFoDTXy53POZ3pAY+KUOABtE2KcfOZM3ljdxdJjJrJwWfshCX1YvhDT/uLPiczzQl2EZ85gxl9/GzvkrdAZoVYaLvorlFiz165ZR6G1TMF1HOov+jaGGjvkPv8WJhrR075IYPqRjL3Pf42+3/t8KBhqjPqL/7psjPsmzidx3rfQ34MPZJpf5tLPLqOl3bs3U2bUs+ryRRXiTQeLFemg/vw/80JrSArhxWfgW3D6objx1ahR4yPAAVU0v//97/Od73yHr371q+Mer6lofrDUFJw+XCTJRTNzuJKMIQU/ccbNgfqXEKA5BYRjY6hhHOedJxA+O4eb7MJ1LJREO66ex84OIYUS2OGW90xB7r3GFiaDxiApPU19IEG90oB0EEaSImwUK48j+zB4h9AaLlimjarJZbekosjTm/e2+k0JNhKwwZYDmOMIRQgBqpvHsUuYWgRhV95HzS0iOSau6WIlh5BFEVwTOd6MZevomUFEtAEz2sJwKUXaSNMQqKdeacDCQBSHkFL9qIoPNTEFS7dBSBhBP0WnhCi40N2LrBcItrXi1MeQBvow+gZQQ358zY0MBjVGzCzCccgXMjRIIRqUCGZAoBayhNQAGZ+GhUDqT2IDJGI4CuzN9qJqARKBOhAg2Roj/RCNKZTsPJqkEtMchvQhso5Jc7Aey7UZ0FNEfBFkV6bOkclIJik9Q50WJioHMGWJgOQnkh7Ezg558Sh9QdDCpIWEi0vEkEFASQXD1XBdgRIwiAz3IyVakWyboiIoSRKBgo5UKKIEfd52bSmIrUXI40OMDKDZJfz1QZx8CseyQYuBpFGoC9JdHMayLVp8dRQsgxErQ2ugngZdoKgauN6HJSWkYOYMCj39SEKgdUzEDYZQswPYxSKO5EOEYyjCQpa9AOZuKYdTyiMHIxCKYZrgaGFUK49jWAhZQvg1JL0EVgkhCVwh0PU8RmYQOZJA0UJogGsZIASSL4Qrq1jpPKXuXiSfhtbaSEbSico+RHoYx9RREu0U5DiS5sOyXFzHRdGkwx4rNbuElBvBtQsIzYcZbsFGRQiBTx/CTXZ5q2vRZoq7ewEXuaUdK1xXVZeMhZrr88agcD0iGMVJ9oDjIBLt6Eq8In/5fZZ8GPuFypGw0Qr92JkBpGAcO9I27ngmBPj0YexkD0LRkOs8QSVbCbz3asoOWJZ9SCul4yEEaHYB4VqYagT7AOP8p4naHOzTg+bkINWNaxrIdW3ovvr3fc73gapoHnPMMQA1Bc0aNQDHEZTeiiX0CTPuDgbXBV0EQaZK9W5/fGaS9P3/jjm0F7W+neCso0i/cFf5eOyEK5DnnIZ94GHoA8WRHJ7ufoE7Nz9YTvv84ss5omHZuG5L+2K5MpZ8EKEzBCj7GHcZUvz7iz9lsOD5s8X8Uf7qmK8RfxsVQNcFgxDIIcQ4bmyGCCAnUww//iChhhKlXatHzyuROOUzFJ+/A8coIa38LOsVg3u3eMIuf3nsV4nm0vgevh6n6P3IKIk24uf9BbqWwLFcdmxOUvf8QxRfedGrU5KY9s1v0PmzX2LnciBJhP/3N3lo9+vE/VGe6nxx9JIFX1t0GVMevJVSeoAs4Ju8ECexmN0/uRHJ50P8xXX8cPf9Zd+8Bc2zifoitPomESlN4f/ctAbHcZkzNcbsI4d4ZNfvaQ03cdSEJdyzeUxw5dJ552LYY9cFcOXUk1ny+ksYU49lSPFhP+/FdQ1MXojaOAHFN43tP/wRSjRC7q+v4aev3oY7+oROmLScM8OTCDz4Y0LzjkcJRpC2vcbI5hdInPZZBh68HaeURwpE8M+9mF0/vREch6lfuorcCw9j55LerYrUY532Rf7rtdvozXk+ihEtxPlzVvKbtd67cfW0Uziyu5vI7GORhERufRedv3kQY8SrQ2tsYOqXvsjaf/zn8rW1X3E5kRVnoAx1kX/j/orn3XDBn2M2zcN1wZIjMLoY7LNy5F++k/ym5/BNmo/SMYv883eW64yccjXFnu0Ut3q+gcIfIn7qN9nyj/9aFoOJzJ7BhAtOIfvm0+ijW0GFotFw6XcoqZO8lWlZHPakSBIO9s4XGN5HITR+ymeQZp6Klu1m6Pbvl/0P1aZp2PIMuu99BCUSZub3vouVaKmoi+3PMbiPeEp0+bmUdm/E6N+FFIxSf8l3KPmby8ff7n0WAuSu1xl88L/H7teRq1CWnFel3OnL9zB0+/8p+++pTZOJnfPN9ydUjsS7Nu5gdJx/a2XxAGNejRqfRHxWmszD/4XR6wlMCc1Pw6XfoxRq/5BbdvAccIvmqad6fkfjKWjWVDRr1Kjxdtg9mzGHPGW30JxjSL90X8Xx9LO3ohaHPoymvSNJc5i7NlcqDN607k4ydup9OZ8Qgjf6N5SNO4B0KcNze19BOowtVgAyLv333Ud0RsfYZB/AdUi/+gChecd7IhtP387icBti1C8sVUrh2/Jq2bgDsEZ6sLrWIwQMpksE0wNjxh2A47D3hptoOM77GBg6YjF39b7AzIapZeMOwMXl+k33oi84rpymd67DL3nGQmjFcfx24NkK4ZX1/VvoiLZw/877SJup8u6NZYuDPLLr9wAcM3EZD2z9fcX1u7jcv/WJirRbdz1DYeFxWK/chtwwAUbjehU716E2zWT3jTfj2jbBS87hxk33lY07gGd3v0JfwI+VHkDWAljpYfKbX8DXNp3S7g04JU+lNDDjePbcfBc4Dr6mRoTVXzbuADCKbDH6ysYdQNbIs2OkkwmxNgBu2fk06aYOMErkt75EZltv2bgDMAaHSL3+OlpiTPCl+9bbUNJDGD3bq5538olfjquiKlJ7yW96zmv34hXkX7i74nj26VvxNY75Y/nb5rLn5lsrlD6zW7ZhFkTZuANvxS/9hxvfE9VFtThE6g+/qUhL/eFm/EaSzPO3VojLmAM7CLZHQZKwsjkGH30MeZ8ZjloaJvXUTRV1ZV59iNDMIwFwChmKG546qHdOM5IkH/9FRVr21fuRc5ViO4pwyL1yb4U4iznQid335gHPUaNGjQ8PZ2B72bgDcI0S2RfvQBEfny8eB/x0Pnv27PKP//4IIdi0adO4x2rUqPHpRZIE1nD3WILrVoSYGE30DInA4QsXvB/kzHzF5B7AdCzyVpHIQcY8PBRkWdCZ3luVvjPV6WlIHMbvibAMCp2dJBa0VR2zsyPIo+IkTjGLbJn4ZI2SpeOXFJThnqqpuTm0F3WGIFMwCegF9tdsNIZHUKPeSofU2kh3YTtzxlFfLJoldM1HpdfRqBpmUz39+Q1VZUzHQrcNbDEm6mGJyhZY+53LcR2c/ZZbHdehIMDvOth6ESEruLZ3btcRGEPexwY7HqbQXa14mDLyTAnXYWWGEZJnOSjRRozBPWOZlCBm2gsV4GtowM5WTvjlUJy9+crwAgC92QEagwn2pnuwXYeCENjFLK5pUuyq/ghS6utHq09gjIyGz3BdnJKOY4yjLJkdQbJKoFVKSjqFsZAGjm1Wq2o6FvsuvUnhBordG6vqN9NZkGRPEfKttKFuJEd/16qLbilX3S7XAbOINVT9zmDmkX0adrFEfscOGm2rrPDrlvIVbXyrLnffdvdtR8PBOVBQb6M4vmpuMQv77JqSXBNzcHdVPivZizRJfKrdTWrU+KgiBNjp6nHaHNxNyNFhH5/4jzIHXMF78cUXef7557nsssv41re+xUsvvcSrr77K3/zN33Dttdd+EG2sUaPGxwzHcdEmzB37Wy96oiD7IHxBRKSRjxr1/gT+/ZQSE4E4ddrhiza8E5blsKx1YVX6sR1HliXmDxVH81N//PG4rg/2m6z62mdhDHiTTrl5MjlVpTQawqDoWOhTq9vin7wI23ZpqgtQCNVVKUFG5swmv9MLa2C+vonldbOQhYQiVX5DbA83ExquNHpc19OId9ZuZWl9pRIpgE/WaAo2IFtjBoqrB8vKm3mjQF2g8tnYjk1kP4MmooWIF4tIgQiKP1Q27gCEMIktnA+AtGUXHdHKjw6yJNMWiGMMd6M1doCigiRT6t5KYPL8cj4n0014uieikd+1C7Wh8nrMVD8LE1OrrnFe00y2jXR67fSFiRXzKLFG5EiC+MKZVfkjs2dR2D1mWMqBAFI0hhxpoOp5T5iLrVVvM3xLiAdAcpwq9VY5FK8IOWH0biax/IiqevwtjVWGU3D2MVjvgeqiCNdXKaVKgTCOP0Zw9nFV+V01hl302lx/0onY+4RyEKEEcqiyn0j+EK499nEgMPdELPfAK3husA6lrrWyrbKKiFYqd5rCR2jO8VXlfe2zasZdjRofUVwX1ObqcTo453gs+eNh3MFBGHh1dXUkEgk2bNjAl7/8ZWKxGOFwmGuvvZZXXnnlg2hjjRo1PoY4DdOInXQ1QtHIrv8DiRXXodZ7+9eVeDMNF/4lhlYthPBhExEx/vyYr9AU8hTzOqKt/MnyL+Bz379wEDOi0zh/9koUSUEWEmdOP5n5iTmH7bvkOC6x446nOJAneszVSKOxwXwdswjNO47C9jXIrVNRVlzNs73rAJgYa2dybBJMXYw8/3gQEkLRiJ5wKW6DF0qgLqQSmTqZ+Bf+CDXm1RmeM4e2a67EyHrbOu1sltOblzCSH+GaRReVja/JkTa+OucCfDlv5Ujyh4iv/CKlugbUWIz86+s4L7iAeY0zvHq1EJfPX8WOkU7OnXgxASXEzAlxAF5cneaPl32e+mAdf+h8iUvnnUt7xDPKGkP1NITquXzBebSGvQ8IraFG/mTa6Wjb1hE4808R3V5gdSkQpu6kK7AzfbSceQaR2bPIPvwkn5tyFpNHFUPrAjG+vPRK6revp+6kK8nvWIPaOIHEiuu81SRJITTnGBASpd1vMPGqCwnPnIFdLFHoLRJZeiZICsgKwdkn05ESXDprJaqsIgmJUyYfgyarZPUcbeFG/nT6ShpCCYyBvQSnLyPQHKLljFMQioJQFFovOI/owoX4mrxr8zU3M+Pbf4UZiqN0zCR+8ufGnnf7bGKnfnZcoR49OoHGVd9ADsXJPP07Yqu+jhz3/M/kRBvRc//IU+rU/IBArW+j5dyzqTvCC18hB4NMvvYyrMH1xE+4vGwgBqYtJXjEKuyDMJQOhKHGqL/wL1ESnjGl1LVSf8FfossRfAvPIDDraEAgtACxE65i+OWNIEk0nX4akaVHVgS3N9QoifP/ArXeW9VW4i3Un/llcuufBiERXroSeeKSg3rnDBEgce6foI6GyZEjCeov/EsMf2XIA9cFdfYJhOad5L1Pqo/4KddgJ6a863tTo0aN9w+7bjLxFZ8rj3/BOcfhm3fqeKE5P7IcUEXzLc4++2z++7//m6lTPat269at/MVf/AX333//+9rA/ampaNYUnD7uCAGamcJN9SG0AE6kBVO8g+LiB0hjY4S9Q330FweRhUyTvxHNPfwovJIEqp5CuA6mL47sGAgjh6sGDyp+noSNVhzELWWRNR9WIYcI1WEFG6vEWXx2Fjfdh5Ak3GjruPWbjstAqkhRt2lOBIj6lbed0BlSiaJdJCQHUZzK56O4BnK+D7eUR4o2j6prHf64VBR5UmYKWUj4ZT9RKQ4HUK4zbIfekSKu61LfCCP6EIok064E8Q12Iak+RKQRy1KQhIlwLTICevUUsqrSEkwQTA1jqAp9msSwnqU+GKfNUdCKeQQuaCH0YCv26Eqi5haRMj1gGwglhqMboLkUfTKWHCCQ01E1DTcUJSM7ZMwMmqxg6TphSwXHRyysYulJdNdGkWRQg2Rsg6HCCEFfCL+I4lp5VNNENR3seAhNlygYgnA0RD6v41ccoj6XjG6Qt0pElTB2sUBedQkHYmQVk2QxRdwXQkYiIvmwbZt+M4tlGrSH6wmWbHRTRtd85KQkeaNIY6iB4fwIdVqAhGFi6TlErAnFVcCxEZqMkRnCMko4sQZGLJNWEUCMZLBLJXwNdSBZSIofK5NFDgSQI2F0s0jRNsgIiTopiDKSIRf1YdkWYduP7pcxFYuoLBPUS7hGESGp2MWst1IkwMqWPJXKSBA90IiwbJTSMG4hCaE6RCCCVMpgWjJm/yCST0NpbyJbkrAVgyF9CEVWaFebMLsGcS2LQHs7ms8GI48TTODgIBVTyELglgogXBxDR442kbVCJJM6PlUiKhVRFZCkApIv6K2C2RZC9WOEmjGdMaEPn5X23ks1jJkuYZsW/oYYrpFCBKNYwWZs3lkYRHOLSFYBYRax8xmkSANGoBGfk0PkhkCSccItWNkCfk2moIVQrdHxQNFwIq2Ykr9cl6IncW0Lx3aQA1EcwNTqDtko1dARehZXDWDKoaqxRMZEyQ8gLB3J58dRghha/GM1STwchIBUwWQwVSQc0GiM+ZDfxtXn48ZbczABFHIGuYxOOOojGNY+jbprn2i8uVoa4VhYvvhhhRs6VD5QFc23+OY3v8nll1/OrFmzcF2X7du384Mf/OBgi9eoUWMUX76b4Tv+CafkBS4Ozj6WwHFXY8ihA5R8/9mT6uGfX/wRQwXPt2dGYjJfWnwNIQ49UDZ4Mu/6W35rLtjCD76DMxgl4SB1vszIC3cSXXoGQ8/cOuqPI4ifeh3y9BPKE0O/PkTy3n/FSvUDoLVMJXrWN9DVsRXCkuVwyxPbeOYNzzcw5Ff47ueW0xwbvz2a40cT/iofOMUtYa6+m+TrnmqjUH00XPw3lKKTD+6m7EfKHeHfXvwJI8UUAHMaZ/D5BVcS5O0H75xu8Z+3r2N7V4rPXTKBX26/nZGSV35WfBLXqi3IL95PaN7xhBevxLCDdHXt4Gfp5+gvemIuU2IdfLF5KS+XBrhvz0sAqJLCNxddSuN9P8fRC55y2CV/gx2ehM/KkP39z9B3byA0+2hcoLDFKye0AIUzruHn/W/w2dYjMQOT+MWaWzmyYzG3b3wA13URCM6beh6+zklsdf/A2sF1yELib4/9Cj945VflAObHtS3lxLUFCo8/A0IQveJ8jAUdtKx5EmXiPNzn7sCsa2Ok4Wj2/O5upnz+s+y69TasrKfgmf/7P+E/dt5D3vT80Y5pmc+FM07jVxvvY/PITgAS/hiXt17B3vU58rP28FT3s1yx4Dx+tfEe5scmcOZQluHNY9eWO/7rDFk+pu++B3O35ycoh2LUn/8ndN9+L5nnPDEZJRxm5p9/jeSj3y/7nNpX/g3/uv52UiVv5XJe3VSuaTievj/7Pq5tgxBELrqMm4bqueDESXQ89wPsfBo5Uk/siLNIPXsr8eMuZvDBH8PodsLYcZegTpzH0G3/WN5qGl1+LnLHUt78/v/DymY9NdNv/z1qM/z49d8xUBjhktbjcR69i8KGLd7zrosz7dt/jdPQAYA/swtnZC/5PZsRQpDf/ALICs5pf8cdd23D0EfVTefVMSOzno6TjkBf94CXj1GluYv/BjMyCYBAsY+hO/8R/5SjGXxlL5mNm73zxuNMue58si/+M/GTP4M885R3NPJsoWHvfpHUkzcBLkgyDWd/jdRrD2H07gC8raiR079CoLUNe882hu78x7KfoX/aUkInfx5DDiPpWYbu+tey+I1v0nwiK758WCuOBj7wjX782W92r2DhbHqCoedu9RIkhYYL/gy3sa468ycIIaBzMM8/37Aa3fT6y3knTOWcYyahHqZo1EcNIQS73hzikbs24LreNZ910Xwmz2x4Vx/6any0cF3QldFt3R/Dx3rALZpvccYZZ/DII49w7bXXct111/Hwww9zwgknAPDAAw+8bw2sUeOThCpMMs/8rmzcARS2vADJakf8Dxohwe93Plc27gC2jXSyJbltf5erDwS1NEzy8V8Snn8iqRfu3kdswSX11I2oRc8JWpIEpc3PlI07AKNvJ9bedRXt7hrKl407gHzJ4saHtxyyhomc7ib3+pgkv2vqpB7/GVqV9MiBERI8vvPpsnEHsHlwG9vTO9++jIB1O0fY3pVicmuYXcbasnEHsDW1m12xCELRyG98DnN4L4UN63lN9JeNO4Bd6S42qS6/H92iCZ6gyS82P4Sz6CTv2owSqSeuR0XH6X8TfdS40ZqnlI07L1+R0CuP0hSI06u43LftcRa3zuPuzY+UJzwuLvfvuh9LyTEztBiA82au4JaND5aNO4Dne9aQWzS6hc11ydxyL4VUDuvos0m9cBfg4p96LHtvuYf4wgUMv/CSZ9wBoeVLuaP/hbJxB/Bi3wZ2F4fLxh3ASCnNG8U1TDkywlPdz9IcbqQ3O8BgYYTjAy24myuvLbLhLuaHRsrGHYCdT6OvfpjArDFfDSuXo+uO+/FP8Pzy5NZpPLT3lbJxB7AxuZPtpf4xP0bXJXvXbZw1I8h/3/Mm9pFXefVnh9H7OwnPO4HhJ35dNu4A0s/fgd2/s8KPMPPKA9hDPZ5xBwSXLGXIFLzc9xoDhREUSWFmSi0bdwBmMsXAQw+hCBfNLaLvXEP61YfwNU8uG23qzBN54g+DZeMOYP3GJPb0Bey59W7s0pj4jddffomGjiLZZF+6E6dUwHZiZeMOwEylGHpxA1rrDFJ/+C1KYezdHQ+lMDBm3AE4NsOP/ZzA5AXlPPreTdh9W3FMneyLd1SIyJR2rIHBnciSS2HNgxXKpvruDTj9772qpZzvI/2WcQfgWIw88hM0K/2en+ujhG65/OTOdWXjDuC+Z3fSn6wWLvq4UswbPHrPxvKKrevCo/dsopg337lgjRofIAdt4AHU19dzxhlncMYZZ5DYR6L5l7/85XvesBo1PolIlo7Rt6Mq3c4Oj5P7g8UVNpsGt1Wl70ruOWy5/nfVnkLG2xYnSRVy6N5BpzyBk3EwuqrVfI2ebUjS2BCXzFQbYDu6UujmoZl4Tj5ZlWYO9yCZhz6BsTDZOlJtzO3J9LztPZckie17vTa0NQfoyu+pyrOnlCoLSkiSRDE5wpt6X1W+Ham9JILxirRkKU0pNCbKYQ7sRnGMcsgLGA1+vR/OwB4mBxvICdg2shshBKZdOeFxXAdb0jFK3nOZEGlmV6anqq6svI8qpuui5ErkHLss5mEbDq5t429rI7977OOINLmdzmx1fSOldJUadGduN0Lz6msJN7I37ZXzG3pVefLDuKne6vS+TtTWhsqsnbuRY57PmNvQzrZsdbleK40S2WeF1nXxGXlyRZOib+y31RjcjRSMVBgrb+Ho1YqZTn4sn9QxmVhIsHX0fkR8IURftSJn4c2tSLaJZBaRVA0r2VfxfJ3YBAZ6c1XlirZKfuculFil2Ig5uAfJKiFbOkbvNuRACH0oVVU+v2sPcqwNcHEL72z0uMUM+39Cd40SQqpc9bMGduPoxQp58/KxVB+ya6J3b606Zg7tfc/HODefqkpzChnQq0NWfJIoGNa4xlwyO8579TGlmDerBLBs26FYePehQWrUeK84JAPv7agtSdeocXBYSpDAtKVV6fsrsn0YSK7CMR1LqtLnNc4q+2B9kIhwAqH5cYxSlfqdkFVExBM0sFwJ/8yjq8r7pyzGtseMt+ZEtU/e0tnN+LVDGwalWHNVmm/CHGz10FUDFVdleduiqvSZialv62ts2w6LpnsCG9t355gVm1NdPtCAlfVWYl3XJdTaxtLgpKp8CxumM5CrnPR3RJoJjoytqPgnL8SSA2itM8ppQq32GZUnz2N9Zi8x2+WIlvkYtkFIq7znPlnDNfxoQc+AWze4jcWN1SqRCXPMe0AoCkYsSMwVow7vIKsukt9Pbts2YvPnjd2b9VtZVDe9qr7mUPXWqfnxudh5z0DoTHUxq8FTv8z5x1FJq58EDZOrksXUhRQ376pIiy+ajzngfSgR3ds4YhzVzMlqfTmcwlvXmNPCNNYFCGfHDGn/hDmYyT6U+H59TkhV6pIgkGNjqrT2lvWMZGyOTHjXlSplcCZVjzOxI4/CkjVsLYxjmfjaplc8X6l/E1OmV4shhSWDuiWLMQcqjSnfpAXYahBLCRCYvhw7nyHQWl9VPr5orldWUpAiDVXHK64sXA9ypUeJHIrj6JWGhNY+GzkQJjC9Wu1TaZyIJTQCM5ZXHdNaZ7znvv1StLGsUlpuQ7wFAvH39DwfNSJ+hekd1YrDzXXvn0jVB0044kPz7ecD7lcIRz4avvQ1asB7ZOC9XZy8GjVqVGK7EqGjLkRrHZ2EygqxE6/Ejk1454IfAI7jctykI1nW6m17EkJwxrSTmHqYvmXvFkOro/68P6OwfTXxYy9CDnuTTMkfpv78b2GMrnS4ros69UgCM48aLSkILzoN0TK7or62RJBrz56DMhr9eHpHjMtXTEcc4rzOCrdSd8YXEYon0682tBM7ZXylwgPhunBc+3IWtXghJSQhcc6MFUwKT3zHcjMnxFh59CQGU0WCxanMb/SMPCEEZ008mvaunQhJpu6Ey1CapuGfPZf5dj1HNIzmQ7Bi4tFM6e/jc9NXlMNCNIbq+fLc82DLq961NU4getJnMF0Ft2EqkaPOAyFR2L6G+HEXI2TvmpXGCfQvOIZGX4wJcpjTppxAT7qfS+aeTczvrQZGtBCXTb+CjmgDO/JrAXihaw0XzFzB5KinrqpKClfMPpfgK94qixwKEf/atdRHQzhP3kzi1GuRglEKW55k2hevpNQ/QHjGdELTPCOquHU7q5qWMzXu3T9FUrhi5ulMViOcM+VEpNEJ94Km2UxjNpufGeGqGZdQsnQkIbG4ZS4PjGyB4y8sX5vcMJHeSWfxXE+A4FGrvJhvgNwxG2n+CUiqilC8yV5o+lRaz1qBnR81rgsZTm1fxvyGGWPPd+LxTJHr0eLx8jWGP/sVnthZ5M8umomz+g4A/JMXIPmCGP2d1K/8AkrUM96EL0jDOX+M0j4HZfRjg9D81K/8ItQlCM7yxpbSjh10hCXmJRZwZNMcXNflJXWAxKozPfUjILJgAXWnnIzjgomGf9ZxhBetQO/bSfzYCxGKhrlrNScdHaaxxfuAoSgSp5zQgrxrHa1nn4J/8tyxd6FxIrGTr8F0VWxHEFh8Jr6OWbi5nbSefVr5vNG5s4jObMIppKg/70/Rfe9s4Bm+ehrO+xaS32uDHK6jftU3MDOjOx+EROTIc3EbpiFkhcCSs/F1jL7/kkz0uEtxEpNxHPDPOwX/5IVj5Y46D7eh2gh/txiBRurP/RPEqLqoEm2k7pyvo39MYmgdLrIQfOWCBbQ1eD7lPk3mjy9ZRGP0k2P8aAGFC69eTDDs9ftgWOOCqxaj+Q9a1qJGjfedg1bRfCcuvPBC7r777veiPQekpqJZU9H8JKCiIxVGEIqG4UvgvAeS4u8FjY0R+odTpK0UkpCIyjGE8558BzoshADN8rY1yZoPWy+CL4yhxnFdF0syGNaHcYE2Xxw1nwEhYQUS2OMoXgkhSBcMdNOhLqyh7LMtS7Z03KEBXNtBbmzC0t5+IiaEi2YkwSjhBhMY4vCVRoUQSLlhSkP9yJEoSn0rjnvge+4CybyB60I8KpE2U8iSTIPkx9LTDLolXCHRJPnx5VJYvjC6I5GRbSTNT0KNouSTuLJgUIWMWSDmixCzJXyFLMJ1EKof27KQtAB2LokUCOEKCUpZrHAcy8gh2SZEEuiGTiil4xRKKLEwhDT0/AilaJycI2O5DgWjSKMvhKyp+Et5/LqLXXBxTQPLMrAaYujBANGiQMokMWSXdEyliElA8YPjkNBC9Ft5smaRDiVOaCCLU9JRY1EUP7jFJPnYZAZTFoosE425DOX7EYpMJBgnrWcJSBqxvINmCUzTIJ/wIasqjm0zYKSJ+SO0uzJOoYhpa+ipHIFoCC2gYEo6lm1hBsLohkGDFsTK6UimhZXNIgd8aPUxnMwQKBqE6zBcmyEjh4xMoxzASaWRfCHMdAbh81EIRpE1gaq5yCUd1dW97cmuixuMYWsxlOIwTi6JCMaxciZWOoWvqQEhC8x0HsfQ8Tc1YEtQSOcRioQ/EqGYszBjGgPGCIos06LEUAaSOCjIjc1YkoYrbJJ2koJZpMkXJV400AeHPcM1qmEHQxj4MTMWGi4BN4ccCGKMpEgFG8joDnUhibqID8MdEx1xS3n8ThrJLiICUayciVMqotXXYZuV7/K+6FKBgfwQQUmhwbQJqBquZeKaXhxDWw1jyGEU10QqDiMLcGwbF5dQyyRGsjYqBlJhGCFrGIE6nH3GMRWvHJKC5U9gH8T7djhIkkA1kqDncQNxDOnDF9L6oDAcl1TOIKDJRANvr1b8caOsoinAMhyKRZNAQEXRpE/MNdb48PhQVDRr1Kjx3mHig+DodqmP2I+C5MjUSaNbqj5kOW/XBV2Owmhcr/KI5brkyfLrN25h05C3HW5W/TS+sOhKQkTf9p66rks0oMJ+tpuSz9Bz0w2kVr8GQHDqFCZ//etY0eqtZV49Al1NcBiLdhUIAezZzpv/+m/YhQJIEhM/ex3Bo4/Dkd55eBZAIuR9QcaBhOytgqTdHDe++RDrBzwxjenxDj4bmoby9O1IC05kbWsLyyYfh22rpP1+rl97M1uHPT/AeU0zuW7+5WhamPRjP8Ec6CRx8tUMPXubJwwkJGJHnUc+Xs9PdzzEtpS3nXDVpBM4YRdsvO1ucByUSJipX7iC3Cs3YZz9N6wz+7lnxz3Yjo1f8fGNpdcytaefoU294Dj0PfLoaLkIsW98lkzXEOmuPby8KMKTG9YAUB+s46K5Z7Et283v1t3L3OhkVvXF2XPPI+WyU79wGXlJ4dEHNtPfV+DIc1p5etdj7Ex7fooLGmZyROsCfrX+TubUT+Pi/ETqCVB8dBulC07gh+tupmiVkIXENXPOY/pOg8Hrfw2A1txMxzWfQRVFhDuCH5fiM7eSmbGcwNRT2PzD/8HKZECSaD//bFR2oXdvREm0U3fyNcj3/ID6065j+LnbCS8+n56HXya71RP3iMyZScNnLuQvt93GP8y7DOfhn2LnUoAgcNQqQlOWMnDvv6HWT8Iw2+l54DFwXZrPXImdyzH03PMA+NtamfGNL2O88Ct8E49ix8OvIJ1xHDe5G9mT83wBlzXO4iIrhPrm63DKHyPXNfP80AueIA4uUV+EP55wFsV//AmuZRFcvhT1kpX868bfUjS9e/MPc66j+Nvb6T7ybH7+zBos28GnyfzZlUuY2ebHth0yXd34Nt1Obs/a0fs3heDMI0k9e5u34njen2GE26uMu6Q7xL89/1OSRc8v7+zJx3Ka4cN4xhMsURKt1K36M1wpjImKX5YZuf8/MIc9AaXivBPwH305hhweG2P3G8dMVAiMBrN/H8dfx3HRlTgo8ffvJB9RNEnQNLpq90k0fFwXZFUirH5yr7HGx5uaD16NGjU+dggB64Y2lo07gK3DO3h9YMNhbRkvbtlUNu4ACjt3kXz22fddPVQu5tn13z/yjDsAx2HP9b+CoXdWFXw7hIBNI1vLxh3A9lQXb6g2ciSBs/4Z5uDj5Z7XkGWJNf3rysYdwMaBN9mW3IG581WM7q2E5x5P+pUHxlRfXYf0S/dAIFw27gCm6SG6b7mTtwJ8Wdkce257kODyS9hpOdy1/S7sUYGUkqXzkzduJhNtRItF6Xvo4X3KZSnccBfWnh5yy6bzZP+a8jmGC0lsx+bmdfdiOhan+qaTveuhirL9T69m62A9/X0FIjE/ff7OsnEHsH7oTSzbJKD62Ty8g53tGv2PPUH8knP4yaY7KFqeEI/tOtyw6V6ceWNbp43+fkaef4HBF15HCTViZkdQ6lqQJB+7fv1bz7gbfYbddz+A0uxtA7RGuim8+TLxE68k8/rjCCEo9BXLxh1AdvObWGs385XZZ+M8f+eocQfgIueSpJ/4BU4xi9K8kJ77HwXXRcgyWjxWNu4ASj299D78OMHpR5DrTGKXDF4LZ8rGHcBrg1vZXV+Pm0/irn+YPqOPuzY/jDtq6WT0LDf3P0voRM+vtfDKGpztuzFHVTwnRlopPv4s1sKj+NnTPVijfq66YfOft75BtmSSGSmhJrdhjRp33v3bhZ1LokQbcY0SIw/9N5pZKR7jSBa/23BP2bgDeKjzBXpCYyvk1kgvhdceQBYusuRSfP3RsnEHkN/4LO5gtchKjRo1anyaOGQDL5fLoeuVakirVq16zxpUo0aNGgdCliXW92+pSl/XvwlZPrRhTZYlclurlfUyb6xFdu1xSrx3OPksxvBIVbo5Up12MMiyxMbB6mtZl+1BTrQBECjmWT+wBUmGtf3V6qMDhUH0na979YXjWOmBqjzGPjLzAP5xFPJKPb0QaiZVSld9BMwaedKFNI5RrTpX7O7G19zEkFSteprRc1ij8eXGO6frC7Jrl2eM1jcH2ZavnuhvS+2mKeStzG7M7kYOBsjYxYpQBuCFdRgxKrfK5DdvRovFsEsmTi6F1tCBFG6iuLer6jzWPop6Rs9W1IaJmIN7UBNtpNdX3/fstt1MCNRh91Sq7CrxJswhr34rN3bNSiSCMVytvpvdsg21aTqZrTtRp0xgY6G6bTuKw8iRBFL/ZtJ6qur47mwvTG4buxd7eoj5PVGXGcE2zE3byAof9n7uEvmSRaZgYugWykj1vdd7d6A2eP6WnqJk5f3VXZ0tw9Uqwykq38PS7g3ITgnZ1il1rqvKbw7s/lCUf2vUqFHjo8JBz4Q6Ozu57LLLWL58OcuWLePaa6+lt9f7KviFL3zhfWtgjRo1auyPbTssap5blb64ZV6FcubB1hWePbsqPbZsyQG3Sb5bpFAEraFaYEKrH39r6IGwbYf5TdXXsijSjj3sTfQLgRCLmufi2LCkZV5V3qZQI75pywCwRlepqtoXSVT8XYpW+yAGOtoh10edP1a1qhr1RYgF40iaVl1uwgT0vj4anOo6Y74I6qj4yXjnFEaRaVM9v4Shvjwzw9UKnTPrJtM/qhw6PzIZu1gkKgeoC+yn1IogoVUqVYbnz8NIp5H9KnI4gTG4FzvbR3BytUKpEhy7Nq19DuZgJ1rzZIzhbuKLqu97dNYUdheTyB0zKtLNZD9qk1e/Eh4TqjAzmXH7SWzebIy+bUTnTMfYsZsFwWoBp+mBBuzMMG7rPGK+eNXxKZF22DlmGEqTOsoG8NZCN+r8WURdHUWufK6hgEo0qOHzy1j1ldcB4GubjjFqrMqhGPijlceFn7kN1eXi+/nT+qcswpb8WJIP/5TFVfm1psmfal/9GjVq1DhoA+/v/u7vuOSSS1i7di1r1qzh9NNP57vf/e772bYaNWrUGBfXhfkNc1jUPBYiYH7TbBY1zj+sLeP+2XNIHHNM+e/wzBnEjzv+fZ8k2oEQU7/x9XJMNKEoTP7SF3Hrmw6rPteFOXUzWdIyv5w2JzGFRQbYuTRi8alsFQbLW5di2w5LmhYwb58wBYtb5jEzPh11yjJ8k+aR3/Q8sSPORnrLB1KSiR13MeQzzE1MKZfb6cvTcfVlZZVENRZj4qVnUXjlDqbIcOmMS1BHjeWgGuCri68kku7FzOZoO+/cinKBay5AnTqJ8KvbOKP1SASeEdEcakBC8JmFF+KTNR4vbiF66XljZeNxWk5cxozEIK3tYXIZnebCRGbWjSkkLm2aC0KiZOksbJzJlL0lWs44jeQt9/BH8y4th3VQJIUvzL8IefPY1j9fWxt1Rx1F0/HLsHMDyKEoVqofIVwmX3sF6qgqJpLEhEsvwOx7w2tXw0SCM44k9ewtRBavQEgygSaN6PyxDxSxBXORF8zi51seRDrmIuTRECAICTfWSGzFF5BDcczeN2i/8Gzvmh0HI5Wi8ZSTyvUEJnTQvPJUSp1rCXdE0KJhlmTCTIt2lPMc0zyXSYP9iGgTYt6ZtPpbuGzeqrLCaNwf5arm48k/+zIA4eOWw7QJZaXV7twAgdOOQ97wKl85uQ1N8coFfArfvHwxEb9CtC6AlZiBMnksXIHWNgM5GMXODCH5giTO+QaGUmlAS47M5fPOpyHofUAQCM6beiLt+wRTVxsmEFx6FrYrcFxBYPEZqI1jBnZ44anQOI0aNWrU+DRz0CqaF1xwAffcc09F2vnnn8+99957WCfO5XJcccUV/OQnP6Gjo+PABUapqWjWVDRrvH98FPqXLGyU4jDYJk6owROkeRtsyWTY8LYzJrQEivPOqie2ZJEyk0hCIq7UVSiEyraJOzyAa9vIDc1Y48R6OxCKWcQZGUby+3FiCZyD+IYmBMj5DNbIMHI4jBtvwEHsl0egmSkoZcAfxVBjZad+zS0i8sOg+jH99TiuwJZMRowRhKPTJPvRchkMVSOlBQhqMRRnbHXJkgySVhJVlsmbRWQh0aw1o9k2Um4QZAlJC+JmhrCDYQZlB8d28Pn8jBhZQlqQiBwkVCyQsm1yVpE6X5AYAt0oYkgSItRMrjRCxikR8AUJIEiYDsKWMDM6rm1h2xZWYxTJdCBfwBcIYRolklGFknCI+CMkjQxByUfQlZEdE4Qgben4XZWE48fKZ7HCPnIBjUyxRESOElVgsDiAkBWi4ToGCyOokkxCBEnbeTRXpk6XUMNRUnqapF0g6gvTIIcRxRSuUQQ1jFUwcUN+RlQDyeenYOr4UUnkHRTHRA4EsfIlrFweqT6KUAwUy0L2hXAdC9csIdQAti2Td4LkCyb+iIrfyuLza9guZLDIWEXiaohwwcIqFjHjTSiSTVAysQspJC2EXbCxclm0hgbkYBBjYAirWEKLxRCqjOn3M5CxkGWFOiuHE9UYtDMoskqDHEYaymKXdLTGeoyghmPmybgmBdugPthIwNRwBvtBcREBgSSBHoqTM0vEjBLCBVuOY6eyFHxRMrZEPOKnUc7ilnJIPj+WLTAIIBeHkWUQ0SbQc7ilLCKUGFc98y0MqchIYYCApNBgOSiKHywDx7Zww00Y+4Ua0NwiIjeI0PxomoqezyOCccxUHtdxkOsbSRrgWjp1ZJAlgR1swHLf/Qq9Imzk4hA4Nk6wAZPqVelyXiwvr+viBBtwhIxSHDqose7jgBCQdTPkzQIxLUqAYHmc8jkFKAwjtCCGvx7H8fIXKZA2MoTUIBERPSyxEiFAL1roRYtgRENR3z9Fy4/Cb2SNTy4fiormxIkTWbt2LYsWeUF5t2zZwsSJ7xyr6e1Yu3Yt3/3ud+ns7Dys8jVq1PhkojoFzLUPkVr9ELgOvvZZRE//CiUtMW5+2VFpUkaDQB9gZ2aODDeuvZ2Ng1u9OHBTjuPsqafjc73Joi2r0OT5B1mH0XYlOcCu//xPinu7EIpC++WXEjnhFGzl7Sd84K26WUFPKXQ8jz8hQBvcxMhD/41TyiMFwiTO/VOMxEz8pX6SD/zQE5mQFOInXoEy40RwNBpH74sDlGLeimD0rYR9KDkFTMfg4e3P8XKX53u3qHkOV8+/mFDY+/imZbsY6t/K3dYArwxsBmBJ63yaQvW80beJryy9nF3Jbn725sMUzRJRX4Q/mraChnSazUGVOW88gTVhBr/pW83ebB+ykLh4xmnMfqWP9ENPgCQx+dqrcEdCdP781zi6jpZI0H7RBYzcfAvRf/k2P11zMzuTexBCcPa0kziibhr/se420noWv+Lj81PPJn7P8wyfs5xf730c3dKJ+6N8uXkF3HQ/pS9dwL++9isKZtGLyTd/FbdtuJ+CWeR/zbya4v/8gvyOnSBJNHz2asyEQ+r5W8G2kOMthI+9ipv3vMCE5kk8t/FV9qS7kYTEua1Hc1QmRiwYpfNXN2Km08iBAG1fuo719UWO0WaQe/BHWCO9BGYez3DHuTz4wHr0kkUwpHH2xbMIB2y6st38bPPd5fZ9qf10xH/+DqW+ntbPf47SG7/D6NoCCMLzjsd1XYxOHW3aaXTfeR+ZDRtBCBpOOZmt047l50/tRQhYeUQb5zR343/hJkKLzyUzotJz9324tk2go51pX/0iZvfLiNcfJ+TY2I0TUc/5Bm5DhOxTv6LUuR4QJE7/HO7ezWS2vAiAPOUIXgmdzEudA3ztwvnEu19g8KmbcG0TJd5M7MizMTa/RPS0L429vz4/vBXz7m1m4EJANNWLed9/4BQyJLUAibP+CLN5AS7j+9UZIoAcboVdLzI02gY53kxg1tls+9ENxJYtQ5x2FqEdD5LsHFXKnXMcgWMux1Ci49Z5MGh2Hn3NvSRffxxw8U2cT3TFFyip1YHhNStL6ZU7yG94GoDA9GWE5hzL0AM/8sa6jllET3v7se4jj3DZmNnML17/Xfnd+8byz9OqtuEv9DJy379jpQcRikb81GsRk4+mxxzkv165nmQpjU/x8cUlVzAnOgdxiGEr9uxI8ug9GzENm0jUzwVXLyYc+3gbyzVqvFsO+BatWrWKVatWsWHDBq666iouuugiLrnkEi655BL27NlzoOLjctttt/H3f//3NDUd3jakGjVqfDIRw7vIvvoAuKPKfN1bKa57FOlQo5HvX6+Al3pWlwVIXFye2PUcu7K733WbARTXoufWW8tiG65l0fXb3+H0VgtcHCo+Y4Th+/8Dp5QHwCnmGLnv/+G302Se/s2YgqBjkfrDb5Cz3e9QWyWuZDFiJHlzeGfZuANY27+ZV/teR5IEilMi8/RNbPZLZeMO4PXeDfgUjayeY0+mnx9tvp+i6QmjZPQsP97xBKals8wNQC7JPalt7M32AZ5K5W1vPkZ2Tvto2x1ELMbuH/0MZ1TEyxgZoee+B+j4yuf4ffer7Ex6vzeu6/Lg9j+wTR8io3uCKiVL56fb7kW66hx+3vkQuuXVkSpl+OXAHwh9+Sr+Z/u9FMwi4Im83LLhPk6acjSTI+2Ufv+8Z9yNtkXRbFLP/BZGlSPtVB+FdQ9RH4mzdWgne9LePXZch/t6XiA9s7ls3AHYxSJdP/4FsZLKrtRetHrvOu1ZZ3PfPdvQS169hbzBA7dvoWAIrt96f0X7ftr1GP7zVlDq7CTz2CNgvfXZwSW38Vm0hnb0gT1k1m30jDvv5jD05FN0lAZQZG8V45FXe9hptYCkIEWm0n3H3bi29ymh2NXN3jvu8WLEjaqcmoN7yL5wB3bP5lHjDoQvgJ0boTBq3AHYu1azONBD71Ceh1/sJLP2SVzbBMBK9ZNd/weUUIziusc5FL0TzcoyPGrcAbhGkeH7/xNNH3rHckqul9QT15fbYKf6MTqfoeHoI0i/+irhPVuhf0y5tLD5eZzuDe9KKdcd2Ebu9cd4K9aCvmcDpS3PjFun07upbNwBFLe/htG7AznobVPVu7ZSXH9o9+qjRNIe4X9W31jx7v341RswRY7Uoz/DSg8C4FoGycd+gWEO86PVvyZZ8t4Z3dL58eobSdnJtz3HeBSyBg/cvg7T8PpvNlPi/lvX4dif3p1eNWrAQRh43/ve9/je977HP//zP/OrX/2Kv/7rv+av/uqvuP766/nOd75zWCf9/ve/zxFHHHHgjDVq1PjUIITAHOisSi9ufw3FqVZUPBQcyWZ1b7Xa3tbh7e+N2l6pSPqNtVXJxkC1AuWh4uRGcM1KxUhHLyD0bHkCvi/2OKqXb0fRLeECnalqQ/S1nvW4woFCBkmCNdnqPLuSe2mPtpAxxtQt3yKr58hHYjg9O7Dap7NuZGdV+RFlrIxtGFWrOvrAAG5LA5sGt+1flMH8COFRnznwjMZhp4DjVi5RDheTZH1gjk783yJvFNBkjbnhDvS1myuOCaoVOs2uLcyqm8SWoWp1yJ7CEHaxWJHmWhaJIvQbWbSmyQBk8y6WVdm+UtHEyFg0hipXbvJmgULME5JJr12P2lDpV2Ym+/F3zCP52uvsj7RnBw3xMRGaLQM2SrQBYyRVlTezYSNqY6WwSWnXG7h6vvy3Vt+O0Vf9/IL965jQHOHVLUPY+/jDAhh9u1Ab2iltX43iHsL7W0yVjbsyjoWbe2dlWSczWJVm9O8gNM0Tmcm8vg61oVJwprRjzSGr7r6FJAmM7mrF2tK2V1H32wMgyxL6rurxQe/ZhraP/2Bp++p3PdZ9WIyUkuO/e3oKY2BXVf60kWG4UGnMua7LcOnQDLxsulQVyzA1UqBUNMcvUKPGp4QDbtFcvnx5+f/r1q1j06ZNXHTRRWzcuJElS5a8r40bjwPtOf000NgYOXCmGjUOkw+zf+WaJrDf1A7/hDlEEwmEcvj+Mo7jMK9xJnvTPRXp0+snvSdjilVQCM+YTnZzZeiGQFMDde/yfurUg6TAPgaUUDSUQBitdRpGb6XB4Ys3HvQ5c4bM4OAg7ZFmXt3v2JzG6dTXRSg4OnnLYk6omQ37GVod0Vae37OaYzqCCCEqfKoCip9gqYDcNAFlz0amxdrZkuysKB9zxp6p7KveUqXGYkjpPJPjHQwXKyd+dYE4eXPMqBII4nJw/yqIaCFCtoQkpIoJqE/WcFyHXaUBFsyYgrn6jfIxdxw/KqVhAl35QSbHO9g48GbFsUZ/ndc/9w37IEnkAhIJNYiZ8lYfQ0EJIQncffzIVU1GDSkM5ysNGJ+sESja5IHw9GlY6cqVWSXWQH7rq0TmzKKwZ2/FMbdtAsk3xozUKfUydtcI/lh1vwhNnYqVqXwvfG0zkNQxA9FM9ROedwLFXZUfSUr1M+jbWWDu5Dhy8rmKLcZqohUrM4xv4hyiiTqEfHDvr6kkEFrA8318CyHhj9cTe4d+XcxXq9EqiXaKPZ7hF549Ayv1XMXxwKR5xOtCB9Wu8ci2TSO3pjLNP3E+0UQUIVUqf6YnzqGw5YWKNK1pEsWda/cpO5do/cHfq48SmZHqraURLUQsGEePt2Cl+iqORf0RIr4w2dFV+LdoDNfRWH/wY6ZeqN5QH4r4qKsLEo0Hxinx7qnNwWq8n7xX/eugR5G77rqLX/7yl+i6zumnn87XvvY1vvWtb3HZZZe9Jw05WGoiKzUH3xrvHx92/9ISU/BPP4LS9tUAyJF6gsvOZShZPEDJA3PihGNY07uBgby31Wte40ymhKe8Z9fbcc01bPvHf8LKeROWxhUrcJvb33X9koiRWPklRh75qbd1VZKpO/MrZEWU2KnXMXznP5e3b4YXn44RaiV/COeMqRHmNM5gXf+W8jbI1nATx3UsZ2gohyQFCB17BYtSO3kl0sLu0W2WE2Jt+BUfpmPSFm7iullncsPWR3BdF1mS+cL0FfgG+tjRWkdzMcdls07k3/OD5AyvrSd1HEF0YzdvtdTo7qH1ykvpveUOcF0kTaP9ogvo+ckvOfsf/pSdqT3lANjLWuYzLdhYNtoEgiunno788PNcduTJ3L73aVxcVEnhs+0rMH5zL9dceAY3dj7qtU9IXDTvbB7b/jTDhSSXnX01xvZOzFQKAD1jEl58Brk3HgNA+IKEj7mUNT3PsXzKkexN95IZjeF2dP1cmgdK+K+6gs5f34hrWSBJtF1zBS+KYU6rW0hh1+0AqHue4YzTj+axxzpxXZBkwcrzZhAICS6auoJfbbm33L7rJpyG+bMHUGMx6s+/AP25H5WfmX/CHJxiFnCpP3o5qTfWo/f3AxCZN5fOYCu66RltC6fVMV3tw7UMhJuk4YTjGHrWC46uhMNMvPJS9J2/H+tvgQiRE65CyDJKvBkr1Y9TyKDEGlGbp2D2e6sxUv1E3lRmACkuOHEqwW3TyHZ78f2E5ie67EzSqx+hbtU3GRo5+PdXksIkzvojhu//T++jhpCIr/gsObmOzDv0ayXQQuTIc70t3oDQAgRnr6TrRzfhnzgRd95i3NVvAJ4hrbVMQ5q4+F29n76mmfgmL0QfjcWnxJvwL1jB0HChOm/7fLS2GRg93kcStb4DrXU62TeeALyxLrDk7EO6Vx8lwiLGVQsu5Hfr7ym/e19e9hlkK0LdmV9h6M5/wR3dwh056nxUuZ6vLPsMP3zpF5iOhUBwxfzzibjxQ3omvoDMSStn8PRj28AFRZE455IFGJb1vvyWfdi/kTU+2byXIisHraJ54YUXctNNN/GZz3yGe+65h97eXr74xS/y4IMPHlyrx+HUU0/lxhtvrKloHgK1weXjhxCgUyJv5wkpIbRx4nt9kKjCQiomQVYxfXGcfXbV7N+/hADVziP0HPgj6KJ6heQ9b59bQsr2exPSWAu6/N59LdVFkYHiILIk0+hvQHXe2RFfCLAMB0O38AdVxDjbOR0gnTdRVUGdmccY6EcOBLCbEqQoEZQD+PdRkzscJBy00iBOPoUUqsMINOC4EsgOOWMIydKpc1VsXwJLeKtPiq3jptO40SBIJmoujaQEcIMJSoypjQoBBZGn6OQZLqaQhcwErR5/ykBEYxQ1yFk5T6ClqNMvCjiKgl8JMFJMMcFfjz9TRAkE6Fd1cqUCMTlCnRwkpxoUbZ0mOYDIDJPz+RhydHySj3pTIejI2KkUhqJQigdIqD4KqSxuOoc/GsPBRfh8ZOs0clYRCQGWTdxSCNkmw6rNiFUkokSo12XMXA43GmTIZ1MwS9T540iGRdwUSIZFKaTSbaUJ+8MEfCFyZh4JQdhViJoKbj6HJEzQAkiyBkVve6zwRTAyBmZ9hEFRQvJr5IwiAdlHgxQiMJJF1jQc3UAfHkFKxMhEJRK+IJpugCOwsgXkoB9b+EgZGrmsTqgugD8KEcfEsiyGhEFSz5HQosSSBk6hiNTcjE8uIePimAa4FpIv5IVJ8EVJ6T4CRhExMoBwTLREHflQHT0pA8U1aYpJRFUbOzWAJCu4WgxzKItdyONrbqagRXFxCLkjYBSRIi2YRQtTEchBCTXZj6T4kDQ/rpAxCxlcFwpagt40tDYE8fkDyJjohTzZgkksrKIgUTAU1IAfvwZKcQAch4LWSLHoEghq+JwMspnDVXzYvjAjjo7pWMhWkJBrEcj3IgUiGIFGHGTvfTQdDN0mLOlQKuD4gujCTygIsp5CsfIYpRJyMEFppIBrWSgtrQxaKoauU6eUiLg5T41TevfjmeaWENk+XNvyxivp7SddmltEZPpwXQeiLbhCrhjr0opM0fb6875Kt/ui2y65okk4oOBXPD9LWTiourfCbfrqsA9RpOSdqPwNiKKLt18Vc4XNiDVCxshR768jKsXAFZ4KsD6Mmx1E+MPYoWYsFBAuGSfNcClJVAuTUBKI/WIevhOScNGMJK7jkHcipNImkZgff1CpqWjW+FjyoahoSpJEODxWWWtrK7J88C9ijRqfRoSAbqOLn7x2E8OFJE2hBr6y9DO0am3v2w/QO+E3k2Sf+Q2lHa8hVB+xE65AmXZc2SiobLvAl9rOyEM/xs4Oo8SbqTv7j9EjE9/XtpvCD9HqwNHvBT43wAT/qPrvQcRDH+jJ8vCdG8jnDBqbw5x9yQKCkbF7lS1Z3PToVlZv7senyVx1xiyOmTuDYXeAn67+CT25fur8Mb609GomBSaBe3j+fg4SJX8z+EcVQ13Ik+OeLQ/y4t41KJLM+bPP5PjWo1BdT9Fz909/inzycppnTqD4xA3YqX7kSILYcVcTqJ9IMdToVeVCwA0RIESDvwH7zU3s+unf4Zomvr/6Ir/q+T19+SESgTifbT4Z9YYHCVx4BsycTGtOMPyzX1LYuBk54KftmqvYMlTPDm0Qc3YfD29/CtuxWd6+iFOnHMtwZpCpZpDk9b9h567dKJEIEz97Jf6whdkwlZ/tfIwTlEkotzxKqXM30RUnYV5yCg9veIi1fZtRZZULZ69k2aBG6uXXaTr1FIxnn2fwuRcYEoKGlaexcVGCKVICsPjJ8INcF1pO8oa7MYaG8DU10b7qHJJ1GjdZm1k/sAWf4uOsGSczLdZB67pHsbavQY4kCC+9iB0/vwMhSXR88Tr2/vzXRJcuInvucn798m9JlTK0hZv5wsQzyH3/x7iGQctZK/G3trD933+IpGmoF51NeNo0Om+4hWJXN2o8ztQvXou07SECvduR4s2ETr6Kwp5NZNf+HmHbdMw+FtNqZsvNdxHoaGfyZy7EMPpIvXAPkcUr8E+cR/+t/4QUjGCd8rc89OBWUiNFonE/Z53eROj564ksOYNmtZU3fTmCyRTG03dgZ0dQ4s0kTrsOs3ctRmIxz780wvr12xBCsPz4SSxe0EHfj/6H7MZNyMEg4ctX4Z8/lbo9G8i88gCuZSBPOYKtjaehuiOE7/wlg6EAU7/8eXZQx3/evomhVImWRJCrT5nOyw+uZ9XZbbS62xh64wmKi7/Aw0/uJZsuUVcf5KxTosjP/QfyktN4tbGOu958AsuxWdy0kKnSUcxp7aAtGMB1vfEoOZjnyYe2cPI8mf7bbsAYHsHX0kz7579Afvfv0be9XB7XnLopuG2NCCHYNZTnv25/tdy2r1+6iHY5UOW7dTgYwg/RyQeZNwCxKZWJ0UmAy47iDn7x0u/I6Fkmxtr50pKrSUhj206FgO6RIv912xv0J4s0xgN849JFTI27GG88QGrNowCEl5yBb/G5GMq733p+qL8BwpWplxupD3hjy1v313VddC0B9ftt43QFUREnGohX5D8YVKeAtfEJBl++Dxyb0PyTaF9+Ebry/hl3NWp8nDjozzzxeJzNmzcjRuWh7rvvPmKx2Ls6+ZNPPnlIq3c1anzcyLtZ/t9LPy87kw/kh/iPl39OgdwBSr73SJJL8Y2HKe3wZMJdUyf15A3IqfHVcDUjydDdP8DODgOeMt7wPT9Asz4dXy9LeZO7fvM6+ZznVzXYn+OB29aV/aeEgEde3s3qzd7WON2w+dUDm9gzlOM/X72enpyXniyl+X8v/5yMk37P2iZJgld6X+OFva/h4mI6FndseoDd+b3ItsHe66/HLhaxpzdRfPhn2CmvLXZ2hOTvf46V7EMbR/hCjAyw7d/+HSuTIXDuCn6892H6Rre0jhRT/KjrYeQzjiX54xsIF20yDzxGYaMnUGIXS+z92fXMbXVILHC5/83HsRwLF5eXu99gbf8WOgL1JH99G6Vdnnqplc2y80e/wDZknuxbR8gSKL/zjDsA6byTeXHvGtb2eecwbZPbNj5AX3OAxPLlZDdvYeiZ58BxcG2bwYceZcGwxq+HnmWdNMSp0bkU/+e3GEPeNegDAwyuWcNT0l7WD3j+krqlc8/mR+nOD5KaNr98nzIv3ET7qhUYIyN0/vDHtF99OaWpLfzotd+QKnmeoj25fv6n80FCZ5yIa9v0PvAQCAmhqjiGgT6UZdcvf0Oxy/OfM1Mp3vyPH+Nr9/zXrfQgVmqA7JpHRxU7XQpbnkcLFtESCYpd3ey64U6EFkeNN5Jd8yh2fgQ5HEfMPYt77tpFanRLXyZV4p77e7AnHEvqmVsIZrZRZ+ZQHrsRO+ttS7RS/Qw//FOU+ll09sO6dcO4LjiOy0vPdNLVmSS/zfPptAsF0r+6lbqkQfqFu3At7z2wd61memEtt70+gnTmBeR37GLPjn7++aY1DKW8PtU3UuDnj2xh0XGTaAslST59M+7ss7n7wUFPFANIDhe479Ek8vxz6KpPcOuWRzBH+8vrA2tJKtu4/sGN5EfVEY2SxZ03vc7CaX6Sv/4fjGHvmvS+fvb+6EcoQc8Y2n9cyxZN/uWm1RVt+7+/eY28Pl5Qkg+HlJPkhy/9orztd0+6m5+uuQlLGvPpzOk2//c3r9E/ul19MFXkh7e+jt21nuxrD3vbt12H3JpHcHrenTroW3yUfwPEwDYyL9416pvskt/wB8ydr5TnqDVqfNo5aAPvb//2b/nLv/xLduzYwfHHH88Pf/hDvvvd776fbatR42PPiJ4sS5+/RdbIkyylPvC2KFaBwtaXqtKtofFDBbi5oUqhA/DU7fLD70v7PmqkU8Uqqe3hwTyFvDfpKpkOL6zvrSq3uy9D3qj0wTFtk6HSO6sAHgoWJi90ra5K3zq8HUkvkN28BXXRbHymjp1PVeRxzRJWehjZrvb1MQa8bXQAxYYw6VKl5I1u6WQjCjgOWsGksLpaGdCnp9iWrVaa7Mr2YqXTlHbsp6jnOBg6vNS9lulyfdm4AyhINhv6q5UKO41BrGyW3PYdVcf0NzbiUzQivjDxgmeo7IuYMZFX+qrVR4tmiSExtqzrmjry6A5eR9dxBKSDEuZ+aqFDhRFKrWNxz9LrNxBoawNAq4tT6uuvyO9aFlbRO48Sa8QYrH7/jN6NRGZNB6DU24uZLeBrn+X9vXsTwRnLKMr15b5YvvaSRZ4Ydi4JRoEmG1yj0pC3S3ksE7Z1VZYF2LE7h7+ttbLOvmpVVmXPapZMCjIyul1vRIdCqfK+ZPIGakTDzXrXn3cjZSn7t8hldYxQO9uL1e/GxtQG2lv8JDOeWEw2XcLQLQJ2HrtYeU1mOo3rVm59f2tcG86Uxm3bSLZaKfXDYrA4jL2fAmVXppeMOfb+JbM6mf2ed0M8SOnN6jG9uPWFw1YH3ZeP6m+ALAtKndVjT3Hz8yjicKKY1qjxyeOgR4Bp06Zx7733cvfdd3P99dfzyCOPMGvWrPezbTVqfOwJq2EkUfmayZJMSDt85bbDxZV9FZLc5fZEG8fNL/kjsF/bkRXwfTqUbIOh6m2r/oCKz+ftbNcUiSlt1UGSG+IBGCcgc1R77+6bjMLUuupn2R5pwVVUtIZ6nK5+bFVDyOp+uQRyKIpblQ5KdOx6fLqDul8egSBoeX3C1lR8E9qr6rC1MG3B1qr0mC+CHAiixuPV5/XJTI51kBQl1NhYGzRk2qLNVfmbfHXIwQC+cWKpalMnUjAKmLaFGVBBquzDbu8gE6LV7fMrPsIVP4kC9y1fRSGQVZWQXe2W4Fd8aIUxSfbQxAkYI57B4loWcrDaz0vxe/XahTTKOO+fEm+nNGpYyaEgcsCPlfL+1homYPR34pN0JLmynwkBfsVEKBpC0SiqKvv3RYFAViRaEtUeGi2NfoyRSrVSNVrdx53ERPYMm4Qlz2ALa1JV/DZFlpBsF/yeD61ftateC0WRUO08rb7qc7SF2hkaMQgHvHsVCKoIAbYWZP/lKaGqSPtdjhzx7ms4qI3btrfq/SgQGef3IKyFCChj/m7hgIqy3/MezpRQW2fsXxRf26z3RKvgo/ob4DhuOfTIvmit07GpuQ7VqAEHYeDdc8895X/3338/69evZ9OmTTz44IPcc889H0ATa9T4+BJT4ly94MKKtGsWXkxMin/gbTFdhcjxlyO0sUmDb9J8aJgyfv5AA/GTr6pIq1vxOUx/tRz5J5FIzMfRJ43dGyFg5YXz0PzeTFIAV6yYRcA3NrOcP62eaa0xPrf4MsQ+s9mL5pxNQqmWET9cXAdWTju5YmI4JT6BGfFp2L4Qk7/yZQqbtiLyLqH9nmF46bko8QZ0qVq8RjS30nz2WQBYDz/N1R2nVhy/uP0EePxFQiuOZyTgEr58FZI2ZgjHjljKm0MqoWQjHZExIyrmi7C0ZR5mQCX62UsR+/hvN5x2CmT3cOG0E3k2tYXANReVjTJl7TZOnnIMIXXMSJpRP4W23iLG8AixhQvQ9vHr8bU00zu1jgvajiOiwyOZdUQvW1VxDbHmNi6pPwqfMiawM6dxOgFZpWHv2MpjaOGZDD7jBY9oufRChh57EuXFdZw/47Sx+4XgmomnYTz0BwD8ra1ojQ1YWW8LW6FrL5OvvbLCyGxddRbGaExG1yihNU2qiM8mBaNI0Rnkd3WCJDHpygtRwxqlvZtQ6lrRWqeh92xH2vIIp62oNLBPXjERedsTxI4+HzM+mTWlJOKYyuuvO/lKnOxuZrZLhPfxJ61vCDJ1RgKnNLY6FjhiMW5bPVrLWAw+yR9iZPJptEcUfGueRygKHc0Brjt7dsV5LjtpGhtf2kPR145/0nyU7Y9x0gmVBvlpK5pg0/1MzhWYXjexnB7WQswNHckJiyYQH/3QEghpnHzWLNZsLZI4/+KKeiZe+xlKe8dWtL1xbTIAibDKtWdXxuj7wqq5xEMfHQOvUWvi7Blj75oQgi8suYIgY4ZUPKTy+VXzKsqtOn4K/hlHocTH7qsca0SbftR7YuB9VH8DXBfkCQsq3hs5FCOw8LQK0bAaNT7NHFBF86tf/SoAg4OD7Ny5k6OPPhpFUXj55ZeZM2cON9xwwwfS0LeoqWjWFJw+KmjoSGYRWw1ijhM36y0cYTNsDpEspanzx6lX65EOQSls3HO7JSSrhK2GMDn4iYoQ4DNGEKUMQpJwgvWUxJiRsG//koSLZqURhRR2IYOI1GMFm7EPXptp3PObhgOuSyAgkPUMrqRhyIevMqkIG8XM4sgqlhwi73oy/H7JT8Eu4JN8b6tIdyBcxyWb0inkdaLxQIXAiiy5KGaWEUNj77COpsq01wfxKRKucBixhhkuJon5IjRojcjuu49tJUmgGRlcwFCj5NwsfbkeVEmhJdyG5gS8e6zbSHoReaSXUlOUsJHDTQ8h+6OIcD1GqBFnHMEXFQPFyGIXDJxCATkRpk91GSqMEJODxIaKaPE42YiCLGQCIoA1PIDVP4AvGMZtjJO1/ICLiDi4wqWo54koAYTtQ7Ikgn4JY7AfN50h1NSGKQeQfTKyapBRJHJ6gXjawB0Ywd/QhJEIMEiBocIIQcXPBCdM1BLYhRJyKIRrWRR7enEa68gnAjiyINqfx7UtkvU+DMukuSDhjmTQ4jGckgEdTaRVm778IJIkkfDFaHY0FNMgjY6k+pBQMAaTBISMPxjBtWzkkIIluwxKDv2FEVr99WhCwXRNAgWboBZCtzUENn6KWH4JGRV3OI2jG0g+DTkgEHYBp5RHCsZwjBKSL4hjFHBtGylQj/7/s/feAXIc553203Fy2N3ZnLGLsMgAkQnmnJMkKlvJcrizfU53Pn+WLWf7LMtnW+cgWZZkiRQlihRFipkESBAgcs7YXWzOYXLs9P0xwC4as0sCIEBS5Dz/zdtV3dU91VX1dlX93nAS9BzOMh+iy4mRySIIEqIiYokCEUtDNWVkTSZiOElmLMrdBoKloTosFIcTy8ghWAaW040ZSWJpOpJDIueQSIoCqg5SRmZ0UkdUFYKVARxGCjEVJxONowsgVPhxyCIuAfR4DEMT0R0eYpKbkBXHSiURHB6koB8tmyVrygwnBRTBwKs6iURy+PwOKj0pjPAAOipxuZpoAgIBhaAUQUinQFJIB730ZmOkNQ2fWILLcFHmd2Gd8x3asiyS0RxGJo3fiGHGIuALknSVEPLkIDaE4vaguSttCpmmZTEWyzIZy1AWcBHyOaZm9UwglTVwKiLyDCq5kmgh52IgiGiKH1HLQjoFThe67EBBQ9KSWIqTrCUj5eKIqhPtLdQmZ0IXNMZzY8SyCepdIXwZAVQnuuI68+4LyFqUbM6gNy7jdCiU+x2IgoBDj2FFB8GyEEpqyUqFM6KXimRpyMkRzOQk4mXoAy4nqpmA8ACYRv6+5XemC/F2GKIGqg45Gcl8dz4QiCJTfZpH8BQd2A8470mYhC9/+cv80R/9EQ0N+a9sg4ODfOUrX+Hb3/72hWS/bBQdvKKD914jCOCI9xF5+VtoY704aucTuPFzpF2Fy74u/7UFHLGu/LXHB3DUtxG44XOknYXL2GbOb6FOthN56dvo0RGcLSvxXfNJMmr+i+zZ+qUacXKHXyK+93lEWcV/zccRmteiC28dVuCtMA2L9qMjbH21A9OwWLuhilZzD/TtoeSWL6KVL8hL/18ETi1MYvuPSZ/YgXDVLeypruLp9k0A3NxyDZPpMAOxET6/7GEqlarLpq7m0GNkDjxH4sDLiKoLY8VD/KgzyNzmSjYsqkKVL59M+VlUM4V2fDPxnT8DQaTkll9l8sBphn/+HKKqUvfxh3GuXMOu3SPs29GLqsrccMc8PJVe/vEnBxkcS7K0NcQv3dlGibtwcOJKDxHd9F2yAydRyusJrLmbyM6f42y9jd7HniY7Pk7or/+AnekuXu58A4C75t3EtcFWtGe+gREZQWlby8iqm/neoZ8ykhynrXwutzRfTXAixKsvdBMNp2mdG2TjKgei6GbfkTiHDk/gcMrccHsrJ5yHeabjJUpcAX577kNoz75GdNtOFL+fhk9+DCHXAybE+7KMbt6K6HBQ/8mPEl/ezA+OP8epyS7q/NXcN+9mqg4PEv3p8yi/8jA/ju+lM9JLfaCGTy97kK6JHnTL5OenXsGwTD7V9iC1NHIocYiX+jZhYXFby/WIAqwumYfy2l681Q6SR57HzKZxLrketXU9m9I9PNO5GYBfWfx5IofhwK4BHE6Za9aGqDEGcc+tRhuO0f/9R8mFI5SuX0v17dchCjrhQ+0MPvMSmCZVd9yE05/EiA1Scu3DJI+/SeLIFkSHi+DVD5MZ6iB19HWUiia8Gz9O1zd/RPp0F7UfeRBEiaGfPQ1A8M57CGxYg/bC36CUt2BILQw8+RSWBSV/9Bv8ZHwnh0ZPUOkp49M1N9CSFlH9DpIDMXp/8EOMVBrvNddxqnEVpiJxVXorwZp5jO84wfi27SgBP42ffIhczyaM2BihO3+NRMc+UkdeQ3S4kdd+HKFpFaqabyscWoT0ridJHtuK5PYTvOlzGFVLQNdJ791N36OPYmZzVN5xG6W33oYY6yby6ncwklHcC9bjWfcRMkpJQX2djYvpIyeTOb7z7DGOnp6krsLLr9y/hLoyN2eHRQ4jRvbA88T3v4zk9uO/7lfofeQnJE61425uoukLnyV97FkynXuRS6sJrLufyOuPguwgcPOX0ENzsS5SOVeOjjPwyCNE9+3HUVlJ05e/hFzfgNm1negbPwJDx7vqTtTFt5CTPhzL5d8PTJhjfO/gj+kM99AUrONzyx6mQq68ooqdOTJsH9nNz07kFVLvnX8r66vX4LDe21BLRa4cl9PBu+BRyNDQ0JRzB1BTU8Pw8PCFZi9S5AODmosw8eTfoI3lVdqyAyeZfPrrqGbyil/bkZtk/Im/QRvPq/Jl+44TfvafUK0LC47rSI8y/sTfokfzwgeZzn3ENn0Hhek9RIIgYHTtJb7rGTB0zGyKyCv/iTTZNdtpL4jRwRibnjtJLmug6ybbtgwy4lqOmU0y/tOvoSZH3v4k5yAJJsmdT5A+sR1BVuiqqOTxEy+QNXJkjRzPnnqVOn81Q4lRvrbj30heJuVSURTQ2t8kse8FMA3MTAJh+/e4e77Ffz1/go7B2Nuf5BKwBo8Q2/Z4PmaWrBA73sXQU09j6TpGKkXPf36HVHs7e9/swTQsMmmN5588ykBPhMGxfN081DHOvzxxCP28j2SqlWTy6a+THcgLmmhjfUy++l8EN3yMjn/5LtnRUbwb13LCHOfnp16desZPHn+e46lhzER+31aitoWv7/wOI2eUN4+PtfNcx2scPTFG9Iz6X0d7hD3HBU50ZTlwcBzTtEinNJ578ji1ZhMWFgHFQ/alN4i+sR1MEy0SofNfvongrCQdlhh5+bX8fSeTTIwO8Y0Dj3HqTP3sjw3xnYM/IWPkcN58Nf8+vpnOM4qKfdFB/nXX9wm6A/zk2LNk9CyaoeFI+OhO9fBMd77+5AyNZ069jCqr/NvRJ/EvrCe++3HMdAJMg8zBV9EHDvN6/26yRg6/w8vESZ19O/qn7uelzUNElRC5ziG6//3b+b1tlsXkmzsYeWUbmYkk/Y8/jZnJYOZyDP7seQyrHFPLkO7YR+LQ5nz9SieYfOXbOMrzitPaaDfR5/8foVVLEFUVUZIY+PHjeSGYbJbJn/6E8PEOaFiJGFxI7yOPYaQzuNcs5/sDmzl0Rj10JDnBP3Y+RX8yip4ROf2v30KPJ7AMg/hrm5g7foIXD04yWX8D4zuP54OjmyZaOELH//s2job1iE4P6dP7SR169UxZ4+Re+xaZoQ4Q8rNfmf3PkTy6BSwTIxlh4un/ixwfwOjrpvtb/4GRzMeqG37mWRK7thN55Tt5kRjLJHV8G6ndP0MSL/+0Rc60+L8/OsDR0/n9kv2jCf7qe7uJpfNtYf49355XqDR1nM2r6fjnb5E4lQ9Unurq5tT/+TqyP/+/6JNDTL70bXwrbsWIjjL50/+Dmi4UqHkrZEOj7z++TXTffgCyIyOc+uu/hbF+Iq9+FyuXxjI04jt/htG7/7IoZRZ5e7JCin/Y+U06w3nhnu5IP1/f8U1SXNk+vyN+mh8ffWaqvX382M9pjxYKWBUpMhMX7OCVl5fzT//0T/T19dHX18ff/d3fUV9f//YZixT5gGHFxzAz9oZdj44hJC+fSuJsmLGRAlU8bWIAIXVh1zYiw2DaleyyvUcRs9MS/jIaycObCvJmug8izrCE6UKQJJGTRwoduKPtGmr13PzgLzJ4UeeU9QSp428CoFY282a0uyDNyfHTNAZqSeZSjKcvj/KbbGRIHt5cYPfEugl4VXYcHb4sCna2a8oiqaOvT/1Wa+YzuatQRS5+8ADBUruoR3wiRdA3PfPaORAlcp4an5CYRI+O2WxmJomZTmLpeVU655rlU87BuWwfPoxa2QTAuCSgn6cy2THZjb/eviRZUmSOHCuss7lRAY/qZo1/Lsk3C1VCtYTO5G77fadrSxk9T9UvpaWJBR0kK/1MpiO2YwGnj/1DR8/57UdKuziaOMr5HBtrJ+QtRY8V1s3ssW2sKssrXS4pWUT34cIwGKMJkcjBw3jnzLHZx7e+iZEtdFom9x7Fu/Aakqd2FRwzEpOIzvxyajMdR/GreOY0EztRqDJq7NuF0Lqe6JH2adv8Jtqj9pAouqkz6TDJjoXPPwW5nW+ypslLLicwuaPwv8jFc7gaF5Hq3FdwjLEu0jkDWU/knbvzMBPjxI8UPu+xzVtQa+zibcljb6Bolz+sTDiepX/Uft50Vmc0kv8QIZv299wSfVPhNs6ixxMY+vRseD6UxJmPJ6aOHr64j+BWPEL8+HG7TdfJ9PcXpE0d3oTM+yfUwweZyWyYcNr+fseycSYuozLy+ciyOKNS8ra+3chXYIVIkQ8eF1xL/uZv/oZTp05x//3388ADDzA4OMhf//VfX8myFSnyvkRwzqCAKcqgXtyei0u69gzqZYKsgnJh1xZnKLvo8oE8vbfMFCTb5vWzyCXVXOCK7gJM06K8qlDUo7xUwkzkO0nBcXHKopaoTCkQGokwDc7CZVwhT+lUzDK3UqhmeCmYooJcWlNgN1ylpDM6DZW+S35Os2FZFkp50/S1EpM4q2ZQkKysJn2OoiOA06OSPkcm3uWQcarn7QFVXRTIEAKiY7peGRMRKjxlBWnqvJX5GRfAPUOX4lZcmBn7h4FsVqe0tLDOOnwiWT3HiBZFrShUl5ScMo5yu8CDmjWRxBnULU0Rp06Bim0sE6faN/3sUloaS9apUAufZ5WnnIlkGMkdLDgmllQxcubDyERuEn9p4fJlr1NALQ+RC9sdKGdlBYJU+LHEVV2OHhlCDhYuuRadHszcWWl/AZDJTYZxhGYQvKiqxYrb64iUzOCeoZ1wmRKydwalz8oqhuM6oiTgmOm/UGX0+OSMKqCWO4AsiZiiahMAOYugOGZUQHXV1mAk7c9KDlRgipe2h/atcKryjEupPWdElExRQSmbFrERZcEmDnQWSbW/N4I0/XvGvuItEFQHsrewjZd9hW2nEmrAFIqKke8GLtlZ0I4ICLjlK9fnm6ZFg7+wn2kI1H6otykVuXDe1sH7rd/6LQC++MUv0tPTQ01NDdXV1XR0dPDZz372ihewSJH3G4a7At+ae2224HWfQHNePpXEWa/tqcC78nb7ta//zAVf2/TX4p6/3mYrufkL5M7ZnG6YAp6r7kJQp9f5y8EKlLpFl7zfwLIsWuaH8J4zk+R0KSxs1NAmBnDOWQElF7ciICe4CN7yBRBE9Ogoq5USfOc4wD6Hl0pPiPHUJHfPu4VS+cL38bwVuiXiW/9g3rE+gxis5lS2HK9L4aoFFZe9AzYMC+fCaxFd+fvTRk4TWrcEyTU9wFDLywmuWI5hTM8MlZZ78IbcZLXpL/1fuHshPqd9UKo5Swle9wmbzbv0BnKjXZSuzgflTjz5HKtCCwue8brSuVOzf6U9p7i6bqXtPA+13Ulu4hxnRoAFrV7WLvXbvkSXV3oYdQ6gmzrbxg7j/fg9tgG1d24rgjZKxbUrER3T9Ujef4KPt91lu+Ztc65B3d+O8dKbPFi70XZsXf1KmoJ1BJ15IQrN0Ig4x5jnVeL6OwAA6IZJREFUmEfAMT2Q9qkeKn3lXFu9gux4FrlkerAlyCqeq+6kM5qPg3ho/Bgt6322+wmFXATSI5SuXIxSGpwugCjS+MmPoAZUlJJpu+z1ElzUROLwFvxX3WarX0qoFkvLnQnqDN7ltzG2dS/Z0VFcNdW28Bay349/zWrY/UPc1W7U0ny9z73wOp+su8H+LMoWUZ40kV0Crrq66SKqKub1d9A1mqTEGqX2/lvO+y9aEKxJ0l2H8C65zhaKQyytx1k7H0UU0HAQvOGzcI4DrtbMg5IG3AsX4qiqms7ndFJ1r/0/RxAJ3vx5csLl33MU9Mj80l0LbbY7NzQR8uevpZsi3rX3Iyj5upbt3kHtA/Z6VnPvXeQG90/99sxfR6Y/P6PqmLcOMVjHxWB4AjR+8Qs2W9nVG3DUNyD5px15weHGs+I2jKLgxrtCQC7lIwvt//39C26jRLlyfb5pWqypWYn/3DbJ4WV97aqig1fkgnhbkZUjR46wePFidu0qXDICsGbNmitSsNkoiqwURVYuC0I+ULUqixc+jX0OspVFig5gJCaR/OUY/hr0i1CznLFIAqhGEkuU0ATnrM6UbGWQIv0YyQhSoALdW40hXPi1FTOFEOnHSseQglXkPNWYZ2IHna1fggBqZhxzsg9BUhBK6y+LQpmWNZgYS2KZJuWlIq746bwjWVJPTrz42ICiYKEkhzEjgwhOH5GSMvqSeWejxB1kPDlBQPVT6axCti6f6pkgCDjSIxjhAUxRIapW0pdQqC/34nVemMKcJFjIehJTcrytEqoggC5kcWkJhGgUAQvJF0RL6aT7hxBkCbWuAcMbJJ3MMTmWRJJFyso9IItMZhJkNZ1yhwO/YqLLXkwrf17FyoBpYEkOxOgAZnwMyeNHkhW08DCCu5JcJE1OdmCFyok7kwwkRhEFkcZAPYoF3mwWIRbD9LhJen0MpceJZROUugIEVC++uMxEXCCT1giWOgg50hhOF5OmhpUWyU7qlJaKxLwGST2NW3ZgmhaBiI7VP4TkVJHLSpHJYGZjiHKQ7EgYS1Vw1NeQdSuM5mKMZ8IEHQFKFS++nEgyHUUUZSYdBoPpSUqcfhrc5RjJJLKkoOkapiRguBQcuptwJsFYbgxRgoDLS0h0UqIJGGkdM5tA0GLogoFVXkdOdpIzdfozE+iWSYuvBTMuEBlPIFkGpU4Nh5JGL/Ghxg2MsXGMTBZnZQghVIZmSOSkHEIiTVbwoqoS3nQ/Sa8fRXHhSkbQo+MgyIieEEYyjJWLIwTKiKouhOEoYjyJu6ke2aGSjaRIyhaSz49fURHCI2BlET1l6LEE2ck4cm01I06NkeQ4XhSqDSd+DESXE1NwkxkYQsvkECuqyLrdiJJIiTaK6PSgJUwyg0OoJSUoAS+WFscyNaRgJXomhRaPICpeBG8pkkvFsCQShoLHISLHhzAjQwiKGylUh2AZmIKMlcqR7evFNEzU2nqMkhCKnoRwH4IgYjkC6J5yNENAUQVM88zcpZFCFCEnegpmy2fqIxXBQNTTGLIL/RwFY8OyGIlkGAunCfoc1JS6Uc6ZWRUEAUdmFGOyH0FSEIN1ZMciaOPjKKWlKNXVkIuQsDI4RAXREMiNDSB7/chlDWiiG0EQzuzPFsiJ7red3RctA0aHyI0MI/n8yDV1GA43Dj2CNdmHZRqIpXXkHKErKvDxVihkEU0NTfb+Qqg6KuQQzRyalG/3LgVD0BjJjhLVogQUPxWOysvap8xGghgDiSHAotZbg5fLp5Ba5P3He6Ki+X6h6OAVHbx3SjSt8+TrHew5PkpLXYBP37aAyoDjPessAVQjgX7yDeJ7n0N0eglc90mMirZ3XY66WL/eHZzaJKm9z5A6sQO1vAH/dZ8i62uccfBnCjonYidJjw7TcGiE2GtbUcvKqLvvFmR3DtlXilWxwCYLfxZd0DgWOc5Pjj2LYRnc27CORX29eFUvruW3YYx1E93yKGYujW/VXUjzNnAkNcBjR5/mhub1+CyR+Yk0kzTyg+1R+sZSbFhSxcZVpUzQy+6BA5ya6GJ+oIm7nW0oOZPdgTiaZSCJElt7duFW3dw3/xY8iptv7n2UUqefL678OC90vs7B4ePUB6p5oO0uVEHmx8efoSfSz5LK+cwPtRJJR6jwlvPDwz+j2lvOx5uuoWFSZ0xV2ax1ktDSNAZrEQSRwdgwe4cOU+kp54bm9cTScdJmlsPDx3lg/q3UCwFS8QjCrqP4KqqQHA4mgjLPxg9zJHqaeaXN3Dn/Rp4+8QqjyTH+aN49WG8+TW68D2fDUlzzriV2shdl7RK2RU/wfNc23IqLjy+8m4pcHZuf6yQ8kWL+okpWbWhgqH2QbTtGMAyLDRvraS2bJL3jh3DN/6ArluKkdZTtI7spdQW5oeZWDu2H61bUcjKzh954B1/2b2Dk0SfIjoxSdvUGKq5bRWTzN8Gy8C67nYkDvZQsW4g+cYhM10HkqjnEVlzHf/a9yZ0Vq6nb20P50mYS+57BzMTxLbsJTS+l+zuP4aqrofbeW1EDEtEdT+FuvQojHUeta0OSJKI7n0aLjOJdsAG5pBJRdZI6fQC5bC7hw/1M7tyLs7aaho/dh1pTjWGpxLa/ydCzLyA6nNTcczNCtotEzVXsiYYIIpMcT3DbNR6M0U5ie57HzKbwr7gFPR1DGxsgcO0nyfjys/jG8CDjr25Cb1vL1n0RkgmNqzY0sqCtDKF/D9r+n4Jl4Fv7AGLzGjRxeib7/DbMlR4i9sYPyQ6ewtm0DN/6j5B2FC4rvVgM3WQ0Mc7rw1vZM3aAam8ln1x8PzVq7VRfIlsZ6NlLbPsTAPg3fATqr0IXL12N+L1EFCyUyXair30fIz6JZ+lNOBbfTFZ+fzodgmDhiJwmuvkH6NER3Iuvw7n0NrJK8JLPWewji1xJig5e0cF7r4vxC4tuWXzth/s51RuZsnlcCn/9q+vxOt6b2D6iKCCceJnIaz+w2cs//lUy/qZ3tSzF+nXlUQSN1EvfINM1LRYiKA7KPvWXZNXC/VS9mW5+ePinfPZ0kPjL00IriCJzf/XjKC4dPKUYjesKPlJ0pjr5+o5/t9l+de5tNL/8I8pu+xLjz/6L7Zjvps/yB8NbqfdX41Zc3KeUY6R9fOWFHDl9+lP95x9oZnPk8Sm1TIASV4BPzL+LR0/8nA0Nq3julF2o59fXfJbHjz7L2roVnBrv5NTEtCqrS3Zy9/ybePzos1O2ltJGQu5SPKqb46PtDCVGkUWZP2h6iJcyJ9g7fISPLLyL/UNH8Du87Bk8NJVXFmUeWngHk+koB4aPMpEK8ztrvoD0z49RuWEDejJJ3Mjw7fI+BpPTSocBp5+NDauoM2XmvPoTLG1a0MhRswB13h286QvzyPHnbPf2pZbPseOH0yI18xdVgmBx8sj0ue+6u4kqT5SXdllkl/eyaeCNqWOCIPDR+s/z+M9H+W8fW4SUPo7wd9+dErgBCG1ch6d0nNxwXkWv7I7fIrbnKbSxnqk0osvHkWvu5L9Ob+Ybiz5N4mdft5XTs+wuep94k9xkGNHhoOVL96M4LcJv/Jjg1Q8hl1Qz/ty/TS0FBfAsWI9pmZiZNJF2iByYfs6iqtL2h79JamCcrm9913at1l/9NMl9jxDe+Nts6la5Z65IldDH5Kbv29IF1j9A4tAmLEOn7JN/SToN3X/6Vdwf+wJPbg5PaZYAbLyhidbub9gEgUrv/g20mqumfp/bhjn0KOEf/TFGclogQwnV43/gD8ldZJy6cxEEGBqK8Oz4z9k3Ov08FFHmq9f+HkExv3RPHT7IxNP/YMtbdt/vkqtccsnXfi9xJgcYe/QrYE23Bb5VdyFe9dFLnhm7kjjSQ4w/8kc2YTHPkhtQNnwG4yJD8pyl2EcWuZK8J2ESihT5IBBO5GzOHUAyrTE8eWFhBq4EspEmsf+lAntu4GRRBvsDiJiO2Jw7AEvLYkWGCtOKAgdHjrEx2Eby9e32g6ZJLp4j3XMEbfAUsmBX1JMkkd3n7A86y2uT7ThaVpIdbC84ljnwKqvK5rKgvJVkLoWn4zAjutfm3AFkSNicO4BwOsqYFmVJ5QJ2DxQqfHaF+1hbu5w5JfU25w4grWcwz/NOOyd7qPNXsbNvP8uq83uldFNnwgu7Bw/RFKzj5HgniyrmsXfosC2vburops6u/v0sq2rDtEwmUmG0gSFyk2EESSJVE7Q5dwDRTAyn7KDGwObcAWQHT6B7JV7t211wbwNaP27v9J65k8dGWLjMLpBw4FCYhBCiosXFtuGdtmOWZaHJUVIZnZHxHGX4bc4dwPibu1Brl07n0WM25w7y6po1poRbcaGNFYY1yXbvouSqZfm02Sx60sA6M1hPntyFmYranLu8fSeOUB1KaJ7NuQMwczm0VI6RlwtVZeMdfciBEMHsILtPjlLiSKFFCsMGJE9sx9m0BDOTxIoMkRkexkilmMyqNucO4MCeIWhca89/8BXkWbRGrPiozbkD0Mb7EBLjM2e4QAQEJpNh9o/a651m6gyn8vcoyyKpI68V5E0dff0XVgXRmOy3OXcAiYOvouiXX+X0cmCGBwtUo5NHXkfWig5akQ8+v5itTJEil4gqi8gzSNi7HO+dGpklykj+QnVC0RN4T5eNFrlCyIpNwOYswgwqrJZlUeoOEtZTKMHCPZCiKiN5ggiqE+u85tyyLMpnUL2scPgx4xOIzsKvf6K/jLCWJKNn0S0DwxfEKRVWQkVQESj8+uCQHcSzySkBk3PxKG7CmSiGaaJIhXtXJNFefkWUMS2LoNNPPDsdlsRhibhVF/FskoDTR1rP4FUL929KokTQNZ3XIatYloXkciLKMoqRnzmbKV9uBrVEQXEgmQJlzsL/wSN50HLTA0mXSyGTsTtKJSVOVBkyCX3G5yOd2YfpdEiY6AXHFb8fKzf9HATJaRMvOYsuSWiGhuAqVF4U3UG06HScRlGVEc6op0q+UpjhfxFdXsxsCowskrtwGbAoiTMqeSpBH2Y2hSZ7cDtlDCRER2F+yVuKmcoPuAWHC8nlwtR1HHJhvfP5VYRMxGaTg5WYswQTF2ZSFxZEmOH9uygEUCQF9wzvrEvOn9uyLKSSqoLjcknVL+wqpJnaKMlbgjWDAu/7gZn+f8njxxKv/N65IkXea4oOXpEPFUG3yidvnWezXb20morglQ9xMBuaJeO/+qO2wZrkCyFXzXuLXEV+UckpQYLXfcpmczYvx/LXFqS1LFgcWsDeWAeOj93FuVO6rvo6JCmFo3Yeznnr0E37INc0LVZWLsVzTngIh6Ryva+B3GA7zoZFSN5zlEVFGc/a++iNj/Jm7x6WVy1konEBFckOFjfYnQWvw831zetsthsrV1Jrejg8coINDauQzpEVL3OVMKe0nl39B3i+/TXuX3CbLe/yqkUF7uKtrdeyo38/N87ZwO6BAwDMK22mciLHJ+bfyWhynDp/NfsGD3PnXLs6ZHNJPROpCNc1rWPv4GFqfVVUeMrw3nsLAOmRUbz9Ye6qtt/D1Q2rOT7Wwa70CI7mZbZjnqV3Yk4kebD1RltYhlJXgEpqbQ7eDbfPZ8/W6Rk0WRFZ3qag9GzGoUncVXuHzUGu8VYTG3exfF45JWUmB3N9OFqabdev/8hdpDu2ASAoTvSMiGfxLbY0wvxVbIv34VSciO4KRN85Dr4o4ZyzkfDe/Oyqf9ECJCWHFhkBScYzdxWyJ4Baab9uYN19WIJAunMbdQ/eYTvmb5uPEvBQfc8dCMr0oFkJ+HFVesHhpTNbyoMbmjnVJyN5S/KO5Dll8i7cQLr7MO756zC8VahV1fivuRZ/YohgybQjJogCG29sxhiYnjUTFAfuZbfM6jCZngo8S+x1w7/+AXRn4YePi8E0LWrLKriv4U6bfUFZK1WufIgLw7BwtV1r+5gjqC6cC67+xXXwyhrPC6EjELzhM1dE5fSyUFqPWt1iMwVv/ByadHlC5hQp8n6muAfvF4zi+u93jmaaDE6kGZpIUuZ3Ul/hxSGLGKaFIomXFMNMFAVkM4MpyDaVttnTKejn7AEQsHCkhtDHexBkB2J5E9nLJMEsCKCbFqJQOOciCCBbORAENEu5ovVLEXSwTHRBvaIzk6KQD1JsiA6MWb7sz5RHzGWwFBXjEr57zXRvspmPR6fP8LVYRkOK9mFMDiJ6g1DaRE7yYokGFhaSJdueUZwI44lRqiIG0uAYslPFWe5HcopY7hKy7goso/BeBQEiZpjeeD+WZdDoKac8HAGnB8Nfh5KLYYx1ga4hhRrIeqpJiwnG05P5mTZZoUaHbEahJwqRlEVVyEdJ0CInZJnIjRFNxwhJXioiBoIsMxFyEs7FKXEFGEmOoYoKtf4qFEHh9NhpnIg0ljQwlIswlBwj4PBR564F02JMGyOciRF0+bFMC7/DQ0Dxks4kkRxOXLqGL5EhJzuJO0XktEbcAdFcAkESCacjuBQXXtmFIqtE01EkQaLRXU6JqZLUMgipLKolgG6QMnIMuHOMmUnKPGUEnX5GUxNEMzGWe2vwRcLkRAFJ9SAZKlgigsvBiJKiKzaM3+Gj2luOknExMpAhndYIlXsoD8kYyTSRrERWtyjzS/jMMEYmTsZdRSQhEHPGGNXGcCtuyuVK/KqCokoMZ0aJZ6LMF8qw+kbQYwmclZU4asvQYhNg5FCcfhI9o7hqKpHEDFlTR3N7mcBgJJegQfCjdgzjb67GSo0jGBmUkipyKYF0Tx+y142ztpyc6kZKjqM6HORik8jBCkRJwggPY2ZTKGU1IEiY2TS6x4slOZHTJunePgTRwlVXjeYtw1I9SMM9pLt7EFQFZ2UJOT1NzFlJ1PQjZw08ASchdxYlPYYeGcYyDZRgNbnwKKLbB+UtU0q6VjpJtq8HQ/UT0VQ0UyRU5cPjVRHiwxDuRRIslKpmUp5SREsCU8QCXB4H2VRuqh1XjBRCuBczPo5cVovpKsdUXOi8s1UbggDJVIYRbYTRzCglbj/13jpceGxpHJlRjLEewEIubyTnrkQ0ciCIaNb0zJds5tsQQ1aRBBPR0NAl5yWNd65kW+vQolgT3ZiZBFKoAc1Xi3mJ+9neDRx6LF/edAyprB7dV4fxDv774hisyJWkKLJSdPDe62J8cBCgfyLF4692MB5Nc/u6RlbPL8epXHgHoBoJ9M7tJA++ihyowLf+QbL+poKOVTXi6B07SB56FTlYiW/9Q2R9DVfU2cnpJgc6J/j5ti68LoWP3TSPpor8AES2cghDR4jvfApBlPCtfwjf3BVMRLW3OevFIWKgTLQTe/MJrFwK35p7sWqXoYuX/6uvU5skc+gV0h17cNQtwH3V3WSchQGVz0WOh5l8bTPh7TvwzJ1L5b33YJQVLq2aCVEwUSbaib/5BGY2iW/1PQg1i8l2djH4xJNYpkn1/fejLliEIc8erNkSDLpTPfz05PNk9Cx3z72ZtuACVFTGjVGeOfUyvdFBNtStZH3tGjz4iBNlc89W9g0foS3Uyu1zbiAgFH4UsEQd4j1kdr8AIz0o81YzVD+HPfFBbmq+Bj/BM/diEc4N8EzHZjpig9zcvJGVcjWxl7eQPXgM98J5OG+5hnGXn31HYuw5Eqax0svd890IP/0B/mvWc7xOZkv4KB9fdDdHR0/idXp5o2c3kiBybdM6Kl2l1I/kGHnsCXwLFqCGyoiEXLT7NUxZYGvvblyygxubr6bOXYto5Xil+02OTnYyP9RKa1kjsiWwVKwg/MSzJDu7CC5fStmG9Zz+1rfxzpuL9+ZrUJI5rHiSoRdexMzmaPjkw4T37CN6+DD1D3+U+IlTRA4cxHfvrQwtqCSLxuvdO0hpaW6tWUv93j7cTY1016n8vHMLLknlgeaN1PYnyXQN4Z43j4nGMnaMHWD/0FHq/dXcXbGa3LceR/X7qbj5Jtp1Lz/ZN876Zi8rc31ENm1CrQhR/tC9TLy5g/SBo7jmziXw4B0cSHbyUu8OSh0+7m+9nqAzwE9OvUpvfIhb6texyj+HxM9eJHrkOIHFiwhdfRXpoWEm9hwme/91/HxyL5OZKLc0bcAM1/H81hHuu7aZ6pCXNw7088kVDlL7DzO6eStKSRDvJz/P5lMxth8fZ159kHuvmUPZmT2EcmSMXM8pRGuM9KntyHULGF52NU+2byKhJbkltIK2pJuAYoAeQZm/8S1DqBiWRcdgjMc3tWMYFvdsaCbeEyYZybDi6iae3NlFPKXz0Zvm0lzpRbzAjccpIcHOwb280buT+aFW1gZv5qebuxmPnGnHF1TgPGevm5RJkty7m9EXX0QtKaX6ow9BXTPWDEuNLycSOvLYSWLbn0StnoNa3kB834sIihP/hocwSuagnz7NwE+ewMxmqLn3LkRhjMypbXgWX48y7+oLVqmU0JHHT+XbWj2Hb+19WDVL0IVfTNXO9yPFMViRK0nRwSs6eO91MT4wjMWz/OG/volxTp361O0LuGVl7QXVM1EE6+DTxLY/OW2UZEKf/AuyrnOC+ApgHvgp8Z0/m7IJkkLok39OxnVhzsTFIgiw68QY//rTwzbbn//yempKXaijh5l46u9teao+/hWS/pbzT/WOcMa6GHvsT2220rv+O3rdqsvq3CrkSD73D2T7j0/ZJF8ZJR/7KlmpcD8SgGxoDPz7vxDdNy1GogT8zP2zP0f3vH3cP2es+8y9nb0RAf/1v8XJ//N/benm/s/fQ5i3eNbzDOT6+Kut/2yz/bfVn6PBW8dXt36N9DmCHxvqV/Hwgvv4pz3/QWd4WmSjwl3GH6z/TRyWfbmxlukl9/j/wUxPCyE4Wq/i0QovI9kYv7P611BMlaw+zJ/s/CbxbD7d/175Bcx//RGZzumlho7KcuKf+nW+/vQ5CpgOmf+9UiT1/f/A/7F7OL2yhqeOv8i9C27hh4en6zvAp5beT2XYQPz3Jyi//lriZoYf1Iyyun4ljx/9uS3t7234FR459FOGEtPCHHX+alrLmmi2ApT8408wkikA/AvbCF2zkdP//i18bfOpvPVWOv4x/zzLr7+OZHc3qe4eyq7eQHZ0lER7B5LHw8R/vx+9xMOjh36GdY6ixy813orXH+T/Hf6xrUz/39KPIz3yKt7lS3mmKsIbA3unn4Ps5LfVDST/4zFEp5P4p3+THx2I8lvVo8Sf+SkAZRvWkx0fJ3EqL3Cjhsro+827eOzEC1PnkQSRP1z1OTqzkzx66CkAPtJwA3O+vYns2BiCLNPwqU/Q873v4/ytX+Jr4y9inCN88dEFd/Hc0wq3rWvi8VdO8bUvtSDt3E3f408D4Fm1hidL17H/dGQqj9+j8hdfXkeQLIPf/iahpWUkj+VVUGN3foG/PvWs7fl8tuFm5u8bweXuRy2vR173yVlVCbtGE/z5f9rj6P7yHW0ceqkdy4JVd8zjX549BsCf/vI66svefvmcIFo80fkMr3ZtBeDhOZ/h+z8et7fjty3glqvy7bgoCiQ3v0zf96eVigVJYsGf/xlGReHS6MuJI9zO+ON/iaA4CK6/n/CWH9mOB279X5z4i7+12Zo//zDZU09haVm8y29FXvuJC1qN4Ih0Mv7jP7fZyu79H+Sqlr/j+yiSpzgGK3IlKapoFilymegeitsGBQDPvHGalGbMksOOoiWI77VLpmPomBN9NpOqx0nsfd5mswwtr0p2hdBNeGabXUnPsuBo9ySKIpI88HJBnsTRLUgziNBcKqIokOk6UHidvc8VqD6+42ulxm3OHYARn8CKDs+ax4pM2pw7AC0aQxsuVLQsuJ4okO09zLlSf2pFA+NbtxekHX3xJWRp5gGaKArsHz5SYH+x8zUSRtzm3AFs79vLWHbM5twBjKYmGMuM2WyyLJIe67U5dwDZjr3cEFpAb3SAyewkAIPx4SnnrtpbgTQZszl3ANmRMZTJCZstndUZV/POcPqlN3BLDuoCVRwZPVlwTyfHTzOg5ii//jomtm0n2VhO0F3CvvNUMAEi2ajNuQPojw1R5irh5cmDuK+a3iMXO3Yc2ZOfmQ4sWULknP/UWVlBqjv/rNx1tSTa82EGXKuWsT3VwXgqbHNeAF6ePEhP1n6fAIci3ZRtWEnUCVsH99mfg55hMpCf+TczGUqzYa6f7yf92vR75q6vm3LuANy3XMfz3W/azmNYJv2xIULq9KzNiyO7Ua9ZDYBvwXzCe/YiyDKDTs3m3AG81P0G65aXYhgmmmHi1dKMbJ6+ht62zObcAcSSOYYn0+ijI/jmNpE6mQ/hILp8tBuJgufzSvgwKT2Ls3kdiUObUHJ2pcqzSJLIGwcGC+w7T41R2xjEMi3MpIbjzIqJfSdHEcW3d2QSZpzNZ56bKIikY47CdnzradJn9kWK6STDP7d/QLAMg1RXodLo5USSRDKndgDgbFhIqn2P7bgcrCSye29BvrGte3HU5ZVjE4deRZ7l+dqvJZBp31VgT+x7AVn88H4UL1Lkw0rRwSvyocapFi7F9DoVpAuNTyCKMyrDCectxzPFmRXkzk93ORFF8LkLz+9xyliWhegunKGSPMFL2oM4G5bFzGqNLv/lXxolKnmFvPMQ5NkV0wRZRpALFeDOFYyYDcuyEJ129UYzl0H2F96vEgjOer+WxYwqkH7VizRDE61KCoqozKhiqZy338+yLMQZ6pggKWQt/Uwe+cx5p9NljCyiqjJjnI4ZzqeccQAkjxtBEMjoWdwzKNi5VReqJaAnE0huN7LJrGkVceZ3QxREvJITKzUd2kSQJDjzYUJPJJA957xrgmC/j7NqnakMDkGx3fdZvLILaYbn65EcmNkcosmM+ZRzZrEsSSaZM6ccz4LrA1YigWeGe3dIMvo5jptbdmKdma00MxlkjxvLNHEIhe2XR3GRSpuIooBlgSWKtuchmfqMHxtUWURUVMx0FtGZT28ZGq4Z9pB6JSdiTsMycnkF11lUFC3LIuCd4fm6ZLTsGedLFjHM/L363Be2Z0wSJJyyY+oa0gyXdzvlaWdRkpC9he+l5Lyy4iCWZSG48o66lcsUtBeWlkXyFb77steNlcvXb1FxzKiWWngtkGZUTg1gFePtFCnyoaPo4BX5UNNU5aPMb+/kP33HAtRZZlvOJye6CV7/aZtNCpQjlDXYbJroJnBeOjlYgVBqT3c5ESz46I1zbWNbr0uhrbEEXbfwLL8FzhmYCbKKp23DZV0CbVkWasMShHOdW0HEt+ZedPPyNj+6qxTfKruqnXPOSkzf7EtgzUAJ1Q/cZ7P5Fi1Eqqp+2+tZFih1i2yOux4dI7Rhfd45OoMgy4RuvRnDMGc6DZZlsbRi4ZS8OuSdmDvm3ohPCdBcYq8jDy28i3K1nFtarrHZV9cso8xhl6s3DAtHeRNidavN7lp3N0/07+aGpg2UKHklzRpvFW0ljUA+pl3YK+K7yX6N4NrVaOX2DwNNFW6Co90AqA/cQn9iBNM0mR+ag3xO/VIkhaZgHXUphfHX36DihuuQdx2lVHCysnox4jnOuVN24FFcbKhbabvW2roVHBs7xd0Va0jsm47JVnHLTcTPzIzl4gkCK1Ygnhm8Rw8dJrRxQ/6+9u2n/LprAUjuO8jN3jbcihOPOv0fCgjcFVxOm6PaFkbBpThZHGhk+MUtlApOHpprV7Bs9Fbh787HV3PV19Ft+dh0LIxy5wNTacJ791F+w3VTv+Mvb+HhubfazlPi8FETqKEvMT2L/NGG60lvyc8EJTo6KV23FkEUqRjLEXTYB/X3tdzGm/vHSGV0qsrcDOQUau65eeq4sXUT962yvxOL55RRWeJCCFWQS+u4F+VVTq1chlZNmPH5BJvmkDr2CsFrPoGmzLxHzDQt1i+unpqhA5AlgVVzQgwPxPB4VVKChW5YuBwyy1rLLugDk1vw8vCie/NlxMJ0TVLqt+8z+8ztbVPtuC47qPvEx23HlZIgzma7YujlxjQtnK2rERQHmb4TuFtW2j5CmVqWkpUrkVzn9EGiSPnGlWQH8jPgges+OevzPf9aastVCMq555LwXnUHxuVdLFGkSJFfAIp78H7BKK7/vvxE0zone8NEElnamkqpLXNf1JcPydKQo71oAycQvaXI1fPJqIViFzI6UmoMfaIPwTKRquaRnSHdO0EQBGTRxLBETDO/sGo4nOZY9yQup0xbYwmlnvxXckGwcCSGyA0cQxBElLo2fA3zLrl+iaKAgDD1NX66TOBIj6INHMfSMqh1C8n56maNXQUgSxaWJRYsu3o7FDOFMNGFNtyJHKpHqGglN8v+u7NIuQx672mS7R0462pxtsxFd88+oBKE/BjNsgDrzL0NnsDKplHr29D89TA6TPL4cSzTxLtwIUJVLYZ55ou+cCb+mgCmYU2dc9KY4FS4g5yhsSDUSpVahaFDkgS9iV40w6DCU0ZIKUe2FHJChuH0CPFsBJfipcZdjZMZ4oxJAmgT5IZOYY4PoNa00u1QcLsClLkqUCwVJAtMgYw2Tkesn4HEKK1lzVQKXsSJGLmOLtSyMuR5zSQVhe7+FJNhnZZqHzVuGYeZwAQG5CyGKOJ3uhiKDCLKKkOJEQQEavxV+GU3VRM6mYFBHE0NiJZAXDGIqDppTLojfaiSSnOgDrfgxTLSjCbH6EmNUOWrQJVUylwBanUXucFhtEgMtSKEw+Ml2dmFo7qKbIkb4inUjE5maBjZ5cJRWUF2bIxkXx+++fMw0xn0XBalqpLRkELcyDCcGEUzdOZ7avEe7SPQOpcxn8Xx8XZUUWaBvx7f6TFE1YVQWkY06GIwO8LpSC+13grmimWYb+zF09yMo7KCobSF7vBgWiblyXFy7acQS/wIzXVoo+NYPUNIVTUoTfVMqHGOT57Gr3qYW9KArLg4NdlNJBNnZeUCKnCjj02iZzJYuRzO8gBmRife0U1mQQOnxShRLUFbaQtWupT+0TTVZV78HpXJeIo5pSZW3wCJ46dQgkGkeQvpSqu0D8apq/Ayv6GEUheYCBipLGZ4DEnOYUSHsQydydomTsYGSWYSLPY0UG25ELITCC43RrAJXVDP1GMBVTaxTAHNzL8ngiAwEs5yvGcSw7CYXxcgMRxHliVKqnwc7JlElkQWNpcQ8juwrPx7IQgCEiamIM7Y5xuCxkBmkFMTnVR5y6lWWunsTRBL5ZjfUEJtqTuvqHumLbEMHWuwj8TxYyh+P54FC7CCZQXhRSDflkmCgWFJ73i8IQgCjtQQ2sBxkBUcpdVkBjsRZBWlro2cuxJhfITk8eOYuRz+tnmIVhRtog+1dj5GsHHq+b79tcCRGkYbOIFlaKh1bWQ9tVdcSOb9jnzm+4J+GRzdixmDCQLIgoUpCEUnu8gFURRZKTp473UxPpAIgvCOlie+VX4L6B1L8szWLnTD5O6rm2mu8l74UtALwKFH0U7vJn1yO47aBTgXXU/GUT5VNrBmXP50tgiWdWn1SxAgFs6yb3sPsUiaFesaqGkIIp43C3rudWZDNrOII8dJ7H8B0RPAu/JOsv4GrAsMdzB9rYv/Ly8kT0ZIcWTiGFt6d9Lgr+XGpo2USdOzZudmFwTIpHQO7upjsC/KouU1NLSWcbgvzCu7+6gr93Lr2gYqAw40cozkhjk+3s7J8S5q/VU0l9RT6SonRCU9HZMc2TdARY2f5avrcPtUHNlJsqe2kTm9H2fLShzzNpA5L7SGPDnC+KZNpDo6KLnmaibmVtCfHWK1pmAc2wqtq+mqqeHF7jfxKC7urF9DaN9mZF8ZkbbVbB8/xfGxdjY2rMbrcLPp9HbcspO75t/EvsHDHB/vYElFGwGnlxNjp1lTuY5NW5IsagmwoUHF7Oggum0nSkmA4LJlJFsrGSXDroEDDCfGuKZxDX6Hjzf79hDNxFlffxUBh4/xxBhzg424YznS23YjReMEVqzA0g3Cg72MLq8n7VEYSoxycvw0y8vmsdrRSOoHP0UJBJBvWkc2KFI51E+2cx9q/UKyLcv58cAullQuQLHg1b4dhNQA13nmUx3PL3gdfXUTgY3rkRAYf2UzYnkpgdtvwiM5GH9pE3osRunqVUhuF6ObXgOg8r47GQyYvDq0n3scC9E27cARLMEzp4nRza8jOZ1U3HYbO3sV/DUKRnWc7X17CDq93NiwBiObZjzppr0zSyxpsLw5QFX7HlxGhrKrWokffBlBknHOWcfY9qO4li7CEXKi7X0G9/x1TNS38PrAAYazEVaUtLIwG0AZnMTd1sagV+fFzteJZOPcVLmStrIGtJPboOsojpo2hMAcnGU+EodeBUFCqVtL+MBxPA31TOzYCVhU3XEbBhJjL75E9V3XYY6fIDvUjqtxCY7qOQieUtLuWlQ9jtG5neSpXShzljPUvIDnurehmwa3t9xAs7seYWCQ4Z89DZKAc91GpDnz8Pvd5HSL9oEoz73Zg9ej8EvrKrCO7Ce8YwfetjZKr7sOPVh+Qe/t2TZMMTMwdJTkgZeQ/CE8K24n66tHEASE4X5Gn3+B7OgI5bfcgnPhYowzQbyduQmyp958y/fqUji3/ZupLTxrC6c0th4c5PRgjMVzyljTVoHXcXGBxC+krf0wIKEhj3eQ2PssgqTgXXUXuZI57yisw4X2kaqRxOw/SOrwJuSyetzLbiHrqfnQ/ydF3pqig1d08N7rYhS5SPonUvzxt3bYbP/f51bTUvXWs0sXiizoZLd8h9TxbVM2KVBOyUf+eFYFyZm4lPqViuf4wb/vxNCnZ+5uf2ARcxaUX5STJQgg9+1m8rn/N20UZco/8adkPFdW6e5CEER4ofcVnj710pTNo7j5yjX/A9+ZUAPnomUNfvitXSQTuSnb4qtqeXMszsneMJBXoPyrX11PVBzgyRPP0z4xLfpQH6hhVfVSSrrnsGvLtKCK06XwpV9fRur5r5Mb7pyyq7Xz8N35u+TOSKLLiQjtf/LHaNHYVBr/zddSelU92c2PIMgqfbd9km+cnBYJEgSBP5x7F4H2g/ww5GL/2CkUUeYji+6aUsS8uWUjR0fbGYqPTOVrK2/Fo7jZP3yUj9R/jp+9MM4ftaUZe3RatVBUVZx/+3t8ff/3yepZAD6x5D4eP/osuqlPpXtw4R2oksIrp7fyq461xL/xPWSfj6rbbmHo2eeJ/Y+PckoI0xsZoDsyLVLU6q/n4U4PiZe3UHb1Wny1abLd08s4xdJq9q+5Htnp5ftHptU9FUnhdwM3EuyZJHbiBMHFixn46fRxUVWp+9hH6P3BoyAINP3SZ+j+7n/Z/mvPb3+BlGzBP3wfQRSp++hD9D7yw+kEokjz7/8vdqkxHu18fMr8mWUPkYu7eeQnE2jnvD9fvK6Gjf4hYtu+Z7uOb91nOfVP/0Xtr34esfPnZFbcyF+P7iSZS02luaNuPTcOe4m2VPDX7Y9hmNNTB19ecBetL/8IM5tPX3bbl5h4+btg6njXfJb2f32Eps98quD+mj73WYxkGHNiG2ZicsrunrsKV/My5No24jueJHU8L3wSvvtL/O2Jp23n+J+rv0j29/8O9On/2vfFX8O38iq6h+N8/Yd5YZxVrUHuG99Ocs/uqXSOinJavvLH6DPsMTuf8nIf4+MJpK43CL/0H1P2vGrxn6GlRE5+5SuYuen3suHzn8N9zQ3IRor4M1+b4b36nXclmHdaM/nz7+5ieGL6/1y7qJJfvmdRcT/NJeCYOM74E+cqlAqEPv7HZP2XvjT3QvpIUQSOPEd067QKr6C6CH3iz8mct4y+SJFzKapoFinyC4QkiWw9WKgk9/z27sumWCmlJ23OHYARHcOKFF73cjM8ELM5dwDbXzuNOcues9mQrSzxnU/ZjaaONnhiRq2Pd5ukmeD5jk12m5ZiMDGzSmd4ImVz7gCO7htg7bzpmYh0VieaSTOQGLY5dwB90UFqPFXs3WZXZM2kNYzwsG0QCpAbOIWQmHa6coMDNucOILZpK0o8XyapeSnPjdjVKy3L4kh2guScxewfOwXAwoq57BmcdpSCzoDNuQM4PtZBU0k9hmmQEIa5ZXEJkefsqoVmLsdEOjLl3DkklUQuZXPuALb17CaWidMWamXUna9DpatXMbblDVxrVvB8+AAVnpDNuQPoiPWRmVcHgH9+g825AzAnh5gfqOXnHa/Z7JqhMeQxGdv8OtV33jE1M3duuc1cDkQRz5xmokePcT7ijsOUJwUsXSewbOmZ2a9zT2KSOXmMfZFp5c1qXyXd4X6SEYfNuQM4OmGQGzxYcB194hTuhnomnn4Bx8q7GHaqNucO4KXBXcRdAt1izObcATwzsAfmXgWA4HCjh4fB1JH8IeKn+vA0NhA7Vnh/0aPHcFUHbc4dQKp9L2YuDanwlHOnhOrYEestOMdLPW/ibbWHYDHfeBUtp/PU69N1eUOtanPuALKjYxekbHsWxUwR2/GUzWYZGvpwJ5nebptzBzD006cQ0wmE+Ogs75VdnfZKMRxO2Zw7gJ1HRwgnsu/K9T9IyBIk9r5wntUic2J7ftn6FUTR4sTOCYkEYOXSGJN9s+QoUuTyU3TwihS5wliWhTqDWqeqyFy2uWhBnFlB8gLU194p5y/FhLxTe9FemSDOrHg5i0Lfu40ggDTD85RmUDIEZgzYLIoi5nmzmgL52GczX3Tm5zvr/3qOXRBnqA+SNPW/CIaOOsOzVQQJ0bKmVDp107SJpcz2r561C4KEZoA4gxLpuUIqJtaMz+jstQzTRDxzVlPX8ufTdVRBnlFBFJhKP9txAHkGyUUJASQJS9dnVFAVBAEsC0vXEZUZ6qOicHYVcT7NDPeuyAjn3L9hGsiShDCjhL0wo8KuIMpYhoGgKlimzky1QBYkBMOasU4pgohgnHGoTXO6zTANBFXO3/8M76Aoy8z4zwtC3n52Yyr58AOOGeqVKipYut2ZR1FAEFDPEWExEWxKo9P3fjHDFRFBmqEtkeQZ3x1BlvPXnO0aF3XtS2emJftTe3aLXBQWAoIywzukXJhS6ztDQJihnRFm6SuKFLkSFB28IkWuMKZpsWFJtU2aXBDgzvWNFz3LNRu6sxTfytttNqWiGSvw9mqQ75SqWj8Op70zu/aW1oseE2mWgm/9R2w2QXWi1Cx4X+xbcOPlwTa7SmeZq4Qa78zPuCTkpqzcLoF+1dWNbDkyPeMX9Doocbmp89ewonqRLe38UAunIz1suGmOzR4ocSIGK3G22BUmXfPWYHimZweV2jqcNfay+e+6mUwwL8SidR/hrsoltuOKpLBQ9uM6sYfrapYDcHysnVW1S6fSDCVGaS1tsuVbXbuMY2PtuGQnLq2Clw5PUPLAg7Y0ss9LqTOA/4zqo2ZoOGUHLsW+9O3aprWUukronOym/Ez4vvDuvZTfcD2p3Qe4q2QF3ZE+FlXMt+VbWTYfeX9eeTByuAPnwo2242JNK/vGO3lwnl210qO6qYqYVN16M4NPPUPlzTcWlFtQFLAsUj29+BYssA/4RRF97UKGPSaSy0X08BHK1q21X1tVUVrbWFc6bR9NjlMfqMEZSOM57/1ZXSmhVCyyf7QRJcRgC+mBQcofuJvMrp9RmYgTcpfY8t5bt5GALtKYdU2FEjjLAw0bMNvzcdcsLYNcWo2gOjESYbxNVaSHhvEtmF9wf762BSRODyOX1dvO5118LaLTjeUuwbcyr7yph4dY46m2OZiCIHBr09Wkeu0zGPJ1t6KqMg/eMK3yuul0Gt+1N9jSeVrmIF+Asu1ZNNFBYOPHbDbR4UaubMHR1ITssy9tqvvEwxiqC9NT8bbv1ZWkstTF3PqgzXbrmkZKPFcunM4HFcOw8K68A9uHCVHGOXftFd/moyk+Ahvtqq2StwThvPenSJErSXEP3i8YxT14v6AIMBzOsOvYMJphsW5xFTUlrsuqbaYaSayRk2S6DqBWtyDXLyWrlLx9xnO4VJGVVFyj8+QY8WiaeYuqKC13I1xAwOLzkdCRI91kTu1AdAdxtFxF1l39vnDwADQhS3eih33Dh6n1VbG0fBF+IThr+lxGp6djkpHBGC0LyglVeekaT7Lr2AjVZR5Wzg9R4lYxBYNxfZTTkV46wz00BGood5dR7gxRKoQYGYjReWKMUKWXprkhHC4Zhx7FGDxOtu8YjvqFiDULycl29U85NkHi0EFS3T34Vi5jqNLJcHacVaIX8/QhxNq5DFZW8ebgAXyqlzWhuZQe2YnoDRJrXsTx5DAdk90srViAR3Wze+AQXtXFmrrldE320zHZzdyyOQjkQyvMCy6gr1tkTr2POh8wPklk524EUcDb2oowv5FhPc7x8Q5GEuMsrVqAIip0hnuIZuIsCLXgkp0kkzEa/NUoySzmyW7kWAp3Yz0YJrHhISJL64koBkk9TU9kgMWlLSyQK0lv2oZ3wQLUuY1EjTjBWASt+yhKwwKS/jKOpMcpcwUQLINdA4colT0sliqp0FRERWV8x3acCxfgUJ2Ed++BsgDuZYvxyi5yXb3ET58mtH49giITP3kSTAv3glbCZQ5ORLpZIlbhGI1hJZI4KipIdnVjZnN4Fy9mVxfUzvUhhHIcGjuGS1RZW72EZHyS0bST9q4ssYTBNQsrqAr3ImlZvPUlpE7tRJAV5Ip5jB1ox7uoDYcHtBPbcDYtJlJRw4GJDvrTEZYHW2hMO5En4rjmtDDqMdg3fIhwMsrq8jbqXAG0geMow70465cg+muQJJ1MzwHMXAalYhmxU104K6uInzoFlkHpunUYgsT4ljcoW70EyZhAG+3CUTcfxR/C8pShe6sRMjEYPkbm9H6U6lZG6lvYPXYC3TRYXbOcOnctwuQEY69tQVAUnIuXYJRV4XaqmBYMTKTYfmQIr1vhxnkB5L4OYgcO4pnbimfxUnSv/T2TJHFqkYBhmFNtRHm5j3A4iWhqCOOdZNp3InnLUFuuIuuqzMeLmxwhtm8fubExgmvWIDfOwTgzY3rue+WsX4RcvwjTGSSX02dthwQhXx7DsN5xHNFEVufI6UlO9YVZ1lrOvPogLqX4Lf5ikOUzyqumgRrvJX1qJ4Kk4Jy7mqy37qJFu87lQvtI2cwiTnSQ6diDXFqN2rRiSvSsSJHZKIqsFB2897oYRS6Rs4F3r2QdliQR0zQvySl6J/VLFAUEQZg13tvFIEn5IM3v13c9/4wvbDAnCPmlmec+l9nyS5KQX8Z55v879/5nzyO+5TM/9/r5gaiEZmUZTvWxrX8fblHhusZ1lKRlIjt3o0ciuOfNZ1QKcbo/zbJV9fhLHBiGRVZMk7TidEf7OTbWzvyyOcwpbSSZSyKLEpFMnD2Dhwg4/SyraiOSjjAYH2Vh+VxcipPjI+10R/pZF5zHHErRXQqvxY8zz1XDvKyX2O59qKESzPnNbNW7WFmxgqNjp2gPd7K0oo0FlOEaGMVVX0/SyOAWVKLpCCesCQ4le2ktaybg9NE52c2iivkYpsFgfIS+6CBLKuaT1jNYuQzL5AAhQ0KoaqZfyNAT6efw8AnmBRtZUb6Ijn0pFja7cWQjhD2wL9KBYVlcbVSRPdqOuWQDJ7pSWILIgrYylGM7MONR0jetZOvIISxRYHX5Skb26YT8Ck2NHiynQqKjm9yeHbhCZfgXLmBy+w588+fhbW1EGzmO6KnC0BTiJ0+R7u/HveIqhoINeBwi5alRfHOa6eyOcronQ8vcEGXlDug8gpnJ4mxuRKqqBdGBaVo4shPkuvehTw6gNi3luKTRrcXZWLcG31CEyTe2kIvEKF19Fa6GWkQpi5GcRCptIOeuwjQsxkfiHNjZR2W9n1CrQjI1QONIjlR7J7LPTXDFMo6lvbx8YJSlLSGWNJcQHU4yPhKnobkUURLpODGKhMH8BvAbI6jBEKn2XVimjnvRdeT8DYyPZjiyb4BQhZfmeeW4fUreEZuhLRMxUKM9mLFRjPgE2eHTOJtXINUvJSX56BtPsWlPHyV+BxuX1lBd4sI0rYK2RBAERHH29iqtm2TjOfpPTzDUF6WpNURTaxmK077MTkrFSB89QnT/frxtbfhWrED3XtyHtbd6Z4tcOLKVQRw9Rer4NpSyWhxz15JxVl7Wfvdi+8iL6SuKFCk6eO/TQd+7QdHBK3IlKdavDz6CAIfD+/nXfdMqj5+uv4ma77xCdnRaTKLktjt5IzmHkeEkn/qVNfSFh9FKI3RF+3ml842pdBWeEJ9f+TEGYyN8/+ATU3aX4uTTSx9kR/8+moL17Ozfz2hyfOr47dVrWHs4xfYlbtZGvMS+/djUMcnlouyv/pBvnnyKntj0sr51NSu5ZU8CbWSUuk88zMgrr/LqChdvjk2LxTQEamkpbcSjutnZt4+x1LQwyA3NG+ic7EHTM/ymqwWP4uXHSpytvdOiHo3eKn5j8WeJPfFzPDeu4e97nyaqJfl9z3XE//UHBH/9f/HEy6Oc3UArCPDgLRWkfJN8rf/pqYGcgMAvz/08bz46QuucILdcXcKpP/mTKe160emk7qEH6H3kh5SsWkHltUtJDqYZ3fw62ZFpEZvgLbfxn7lWPrbQhfTUI8Ru+gxbd+T/J7dX5WN3VtP3V1/N3/tv/zeci1ajmkliP/tbtLFpsRNx4Qa+5zW527ec7Ne+jaVp0/f8uc/gm1PDxHNfQxAlQp/4U7bty7Hrje6pNHMXlLLaPMLIcy9O2RwVFdT++hf4zR+PkMkZtDWWcFWJh56T46y9ppnXXzo1lVZ1yHz6U83kfvZHYJ11XASCD/4h3/j24NTzlCSRT/3KGjznBS4/izPSQeroa+jhEbKD7VN2d9sGTjR8lL8/o8YJ4FAl/uLL6ynzXtwSx2TOYHg4zqHXuxgemBYqmr+4kpvubsM6U1jJ1Bn5r+8wuXVa4MrT2kLj7/we+pmwC0XeHURRQOh4jcgr35m2ubyUPfynZNSyy3adYh9Z5EpSVNEsUqRIkSKXhC7m+MnJl2y2mrhgc+4AIq++xNJ5+T2EI4NxotIkAZefTaftaq2jyXF0Q+e5U3aF0bSWYTIdYUGoBaes2pw7gJeH96DVhbhabSL7zKu2Y0Y6TTQbtTl3ADsG92HetB7PnTehdfeRW9hkc+4AeqMDhNwluGSHzbkD2NKzk6tqljCUnGAsEGRSFdnWu8eWpicxzIQ2gaxl6M9MMJqeZE1ZG/pzW/A0N3G83+BcdSTLgoGkyi69z/aV3sJif3wf1bUBOjojhCfSeOZMy7ObmQxGJoOgKIT37Mc088/6XOcu/z+8zI0tbnYMW4iiSLk8rbKYSuQI56adl7Enn0EyMwjRQZtzB2Ae285N5W0Eusdtzh3A+Bvb0JI5nPVtWHqOXN9xDu8dsKVpqZIZeeFlmy07Ooow3M/VbfkZq+M9YbwVXuYtquTgHrvKaS6rMzyaO098ySJ96GVq6gJTFsMw6emcnFFYRJYEEnufRy2tsTl3ABlL5fFNHfby5QxO9oULzvN2DIwnUU1szh3AySMjJKKZaUN43ObcASQ7OjFGZ1bWLXLlUPQEsW2P22xmOoE5UajoWqTIh4Gig1ekSJEiHyIswLTsS79mXMdxrrNiWlO/rZm0XwUwKVxOdjbtjKeH/GDfsrDMGfLOsrjEQgABLOutl6/NmHuGc850P6ZlgSBOlUFEOKM6KTDzAhKhQB01fx5zOug0M6ghmuaUzbKsWf6I/GMyLAtE4ZzZrxluzzSxmG052Bll1Jnym+Z5EbjNgqcyq5CjZXHudluLs3/rDM/ahAI1TtMoOPfsq3QsLMuYpQ6KGDPkm6FqvS2WNfuSOpsTP1uaS7lokXdGfk37DOYP74qvIh9uig5ekSJFinyIUEwHD8672WYb8YNaWmqzBa6/kSMd+dmiyho/frOUWCbOdY3rbOnKXCXIoswdrXblQ4fsoMxVQvtENzkjR6kraDt+Q+UK5J5hdhr9OO+yK1eKDgdBZwm15ymUrqxagvzGLpLPbUZpqkc93sOqUJstTY2vknAmSk7PUeIM2I5taFjFgeGjhFxBQvEYJVmDNbXL7fnd5YTUEDoSdc4ySpwBdk0cR779WpJd3bTVF0qd13iyrFHrC8IzrPRfxWB/lOZmP6WlThKdp6fvUVWRPB7MXI7A0sVISiYfMiBkX04WuPZ6XjudZn21hJHJMmFOL8txuhRKHNOzceX33w2yCyFQg1xif3bivNW8NnGCWFN5PizAOZRtvBrF4yDTexwkGbV+IQuX2vN3DOmU33S9zaaGyqCqnq3HIwC01gZIT6Q4dWyEJStrbWkVVaK6ygHnxeZzLb2Vwb7odDlFgabWshkH5roB3pV3oEfGUCvtwaodeoKP3GCPs6fIIvMbggXneTtqQx50WaS80r4EqnVBOb6SadVXoSREyZrV9vtpbECuvPLqxUXsaIoP/4aHbDbB4UYsKlcW+ZBS3IP3Djkbo+bdKlNx/XeRK8mHtX6J4uzvsCgKZ77ov/058pMwF98WvNX1LyXdW+W3LAuNLKdj7Wzq2Um5w88tTVdTrrmJHTxI7MhRStauZUQMcbQjyVXrGyiv8pHN6ETMMJZD43S4lz2DB2kI1LK8ahET6TBBh59oNs72vr2UOAOsqltGLB2nM9zNVTVLcSoODg4e5XSklzWBeSwwy8Dr4gfDr7MuOJ9FEwqJA4eRA35YtZBt9LOuZg37ho5ybOI4yyuWsNxZC7sP4m9rI0mOgKeEsfAIx4Rx9iVOsyDUSshdwrHRDlbWLMYwdbqj/XSH+1hZtYScmSObSbDGEaI0GsdsWszB7BCJTIp9w0dZGGhkdcVSDm6Js3qRD7eQIuqV2Dp6CEkQ2ZirJHP4FOaKazl0MoEgCCxeXolycAt6Mkr21jW8MrQHC4GN1esY2mMQ8oi0tgawVIlUZxeZba/jCIUoWbmc8de34Js/H1/bHLThI4iBBoyMROzIMVI9vXjXrKHb30ipTyU4cIpA2zxOj+h0dqUpC7mYO7eE1JbnyfUPELz5evyLlmDgwLIsHNlxtN4j6ON9CHWtnHY5OJ4cYUPtKspGkoy9/DJaLE5o/Vpc9dVog/sw0nHcS24i66tHyxn0nQ5z7OAQzXNL8TeLxJM9tA5pxA6fQC3zU7p2NUczHp7eMcTK+RWsbA1x+tAww/1RVm9sAuDYgUEcqsDiuRIBbQC1pILE0dexTAPPslvQgs2MDmfYv7MXl1tl2Zo6/CXOWd83RTQRw12QDKON95EdOIWzdRVy01UkpQDdowme395Nmd/JTavqqQrOfK63e6/DqRxkDLpPjjPYG2HO/BAtC8pRzwtpISejJA7sJ7JzJ76lSwmsWYPuv3x7vopcOIqZhuHjpI5sRi6txb34erLuqkuaxZ2ND2sfWeTdoSiy8j5x8BzZcfT+oxjRURxNSzFKmtGFKxuvpti4FLmSfNjqVzJncKovwunBKPPrS2ip9eM6E3RZM0y6RhIc6RynJuRlYXMpfmdh8FoREwZ7iR44iORy4lu6DDNUdUEqpoqZRhjvJNt7FKW8HqlmIVklWJAuTZLTsW46wl20ljQxx9+MC0/hCWfBEDT60wMcHjtByFXCwrL5BMQScnKK4eQIx8bbMS2L1pJGyi2Rkp52HHUL0QQX4X0HCNSXI6oiwyUVRLUYDkkkZeZwyQ4qHH7UZJR0oAw1pSFORDDjKRw11TjKguRG2smcPohS3YqrfhFaLEVk114EQUBdPJ9OTxbDMvA6vBweOU6JM8j80mbGUhOcmuyi1FXC4op5RDIx2ie70XWNZeXzyWKwf/goVd5yFvmbKBvPYnqCRHUVfAZhYwJN0BmKjxCUPNQ7ygg4yxiP6CQmcqjVGh3xU6S0NIsr51MVNckcPI6zNIC+bCGDRpTj4+2oksLy8gXMcZSSOb0XyVWGnhFJ9fbjqKpCLq/AyOZIdHQge1yIixYwELPoH0qzuLkUj5ZE6+tirLyZI90xGstdzClXCWRiJLt70efUEbN89HZEcSgyLa2l+KKD5EZH8cxpJtPfT/xkO96WZtxNtejJDLHDxxAkGf/iRZjldURTOQYjGY70RKgvVVhYo+BwOtnZY5DIZGida9EePoFXdbLYVU6V4MIqbUJS80GfNW16BHyucqMgQDKWo6t9HEM3WdLqQu9qJ93Tg29hG3JzK6bTgyQJU0qBcmSczPAQomWR6uoGScK/YhlSTQOmBbpuIsv5xUO6bleWPf/652KZFhMjSVKTESqMCbIdJ/C0tuBZ0EbO4Z36sHI2TIJlzXwuCQM50k22+yCSJ4BSv4SMs2LGa4qigKJICIJFLmfOOvYQBGHqGbxfxicfZlTJRIoNkD61E8lbitKw5LKFKPiw9ZFF3l2KDt77oAF1aBHCP/lzjPjElK30jl9Hb1h7Rdd8FxuXIleSD1P90kyLf3/6CPtOTIuL3LymgY/f0IokwuaDQ/zXc8enjtVVePmDz1yFW7Ev0RN6Ojj5F39pU0ec/9U/wQi99TItUbCwjjxnEwZQKpvx3/175KRp580QNX544gm29++bsq2rXckn2x5CMpW3vU9BEDgYOci/7/3BlK3UGeQ31n2enkg//3Xwiak9eYoo84ml99OcSOF64Xv4N36O1FAEInuI3fRlvtP5BPc0Xce/HJxW4PQ5vPxh20fwmwIDjz1H8kBe9KRk1QpK5smkO84qVAr4rv01Tn3936b2yoiqivQ7nyVS7uE/9ubP+dllD2FYBo8cemrqGp9Z9iCPH32WjJ49cyaBzyx/kEcO/hTDMqn0hPjvjffQdVJFrDZ4bPSHPLjwdr5/4Mmp/VoOSeU3F/0yz/9HN+sfqub7Q9+3ne932h7G+Or/w3PbdYzdtJT/2PeY7bn876UPE3jtJ2jCAoaenRYbcTc34Zs7l5GXXsZRXc2pmz/LD7cPTR2vD7n40m2t/Mkj02IwHpfC/1wpI54+SPbmu3npB51THwRkWeShu2rQX30aUVWY3DUtAlOyZhUCApO78s9UUBQW/OH/4vkBicde65pK11jp5rfX6WwaClAxT+CRU/81dcwlO/lfDddR6yhFq1nxlh8ikrEsj3xzF4ZusmpFGVX7nyLdMS1kUnXfPQTveQDzzG4PaWKYk3/yVRo+8TA9338ES9fz5ZRl5n/1jzGrGma/2FsgigLtx0bZu7WbGyuGmHz6yen7aWig+ff/J7orP9h5uzZMHT3MxFN/P31ul5eyj32VjCN0SWUr8v5CEEAZOsjE0/8wZRPdfko/9idkL4Oa5oepjyzy7lNU0XwfYE302Jw7gOiWR1GM5HtUoiJFilwMY9GMzbkDeGVXL+FkjkTW4EevnLId6x9NMDBmf79lTIaeesomjmFmMsQPH5pRBfBclGyY2I6f2mzaSBdE7eqFk7mwzbkD2DGwj8mcXSFyNrJCmseOPm2zGZj0Rgc4MnrSJriimTo9kX56JBPR7SPTuQ1fSy1C1UK6EqPc1rCBJzpfsZ0rnk3QnYtjDYxMOXcAJcvmnuPcgVozl7HNb9qEEMxcjkASXup4HYCA048iKbzWvWMqjVf1MJ4KTzljkBdG2dV/kIUV8wAYSY4z7DY4eGCYSXmExmAduwcO2cQ4skaOY9F2SkJuRsXBgvM9O7Ibz4qlsKKNvUOHC57Lrng/rvk3MPziZtv9p7q6UUvzKpLyNTfx5J5R2/G+8TRdEfu+s2Rao0cIoFy7hlN7wjYnS9dNuiYguHKFzbkDCO/aY1PitDSNyT172XrMXo97RlKMaD7Wz3OxY3SL7Vhaz9BOltjOp1DMDLMhigKnjo5inJllq/PmbM4dwPAzzyJE8vVQEAQShw/jKC8nfqp9yrkDsHSdiddem5qlu1i0rMHrL5xixQIvkRd+br+f3l60wf5ZctpRyRF74zGbzUwn0Ec7L6lcRd5/KFaG6Bs/tNnMVAxz9PQsOYoU+WBSdPAuEcvQCmymlkF4G2W3IkWKvD84d3mYzW7kl2JpMxzXjfOnOyyMVKognZHOzK46OJXVBMMotBu67adu6YVpAN2cIe8MmJhkz3FmID8jZZiGzck5S0bPogOCpGDpGQQRUJxopo4qKgXnAtAsHcs4v5z2ZyXKKkamMC+WSfrMORVRxrJMsnrOVtackSvIltYzqNL0knjdMhAQ0CwNVZq5nBkji8Mhk7NmPp/gVLEkkYxeeDylpRFk1ea4TN/DGbVQRUHTC/+XmdQds4aFJYnoucJ6lssYCOIs3fN5U256MokkFVY23RIQRciaMzwH88z/9Rb9lSAIZDLn9HMz1Tdzug4LQj68heRQMTOFjqOeSL79OzELlgW6ZiKKFuYMz7+w7s12IhMzV1g2S5uhXhb5hUQwTSxthv94hjFbkSIfZIoO3iUildUjyPb9dr7V96Apbz1lWqRIkfcHFSUuqkNum21hcyllfgc+l8Itq+3LyTxOmdqQfd+bjkTV3XfbTywIBJYve9ul5IazBPfCq2020e1HCNbYbCFHGY2BOputMVBHyHlhy43cuLl77k02Wywbp9ZfzdKqtoL0c8uaaUDBiE/gbF5HejiM1bOTJm8lL/a+yR0NG23pZVGmyVWGXF2FWjO9LDXVN44Smn6GmYETlF+zpuB6GbfCTXPyz2E8lY9/dnXDqqnj4UyUal9lgULl2roVHBk9CeSDqleLPurq/VSJtRwfa2dV7VJbegGBRcF5DA/EqJcbC2ZYb69ZQ2rvQcT2PlZULSoo5/rQPDKnd1C65iqbXQn4Mc/ElbP2vMn1i+xL/bwuhYYSe18higJznBrm4RPMWWFX+gRobXSR6OjE09xks7sa6shN2mduQ+vX0Vxhr5d+j0qVEudkv86acnsdEwSBBWoQ79Ib0OXZ93Eahknbkqqp32HLi3JmpvIsJauvgpK8+qppWviXLSPR1Y1/ceHzK7/xxlk/qrwdikNi9dWNnOjOElhvvx/Z50Wtrp0lpx1NdOFbe6/dKMoolS0zZyjyC4cme/CtPu8/lmTk8uaZMxQp8gGluAfvEhEEAUeil8Tun6OHh/AsuxmpcSU56co6eMX137/4nAn99b7h3PJ82OpXJK3xyu4+DndOsLqtkmuX10wJqaRyBruOj/Lavn6aavzcvaGJcr+j4L+TtCy5k0cZfubnyB4PVffdh9A4Z2pf0lvh0KNo7dtJHd+GWt2Ke8VtZF2FAi1xomzp287BkWMsq1zItfXr8VHoGMyEIECGDEcnj/HK6a3U+qu5pfkaKtRKhnNDDCdH2Ny1HVEQuaZxDdWik7L9W/DOXYXhKGfk+VepWLOQnCgwWFFBVk8QycbYPLSHUtXP3Y0bCcUjxEPlqDGD1Ovb0XsHUOe2UH3DOuLHt2D1HkNqaMOz4Aai3f1EXnkNLIvSe+9gk9iP4nRR5gqypWcnDcFa1tYsoyPcw47+fQSdAe6ZexMTmQivd28nrWe5bc61mAI8376Zam8Ft9WvJ7D3NFLrIrqGNYzqND1aFwGXn10DB3FJCreVr6LMWcWJkwkmhzI0bVTZNLiFlJbi1uaN1A9miT/xLP7FC+GeG+lIDvB693ZkQebO1uuZr6nkDr2CXNpEcijN5O4DuBrqKb/lJuK9/UQ3b0b0epA/8lF29mbYfXiS5ioPN9dLuJPjdAVbeHZnP0GPzANrqyjvO874ljfxfv6TTKScHH5zGEkWWXtNA8r2l0m2t1P/8Y8SPXiQyP6DBBYtoPy6jaSHhhl+4RUESab67jswymsZT4ucGEvy2v5h5lQ5uWNZgJBf5bHdCURFp3Fehjf6t+BTvdxVtYxGTUCqXEBOdNvqyfn1zrJgcjTJjtdPY1kmd1xbTmzLJhInTlC6bh2Bqzeie4NT6UXLxOo7TWTXLtx1tYy9sQ1Blqm6927k5rkY4tvvGZ0NXTM4fXIcORWjdOIU8V078LTMofyOO2yiRm/XhilmCqv/EMl9zyP5yvCuuZesvxHLEmZ9Du+U91ub/0FHMVNYfQdI7n8RubQGz4rbz/zH7/zcF9pHXsn/vFifPrgURVbeBw7eWSTRQrR0dJR35YX7sA3AP0jopkX/eJLuoTgVJS6aqny41cKYWu8WiplCmOxBn+hHLq2B0iYCVVUfuvolCAKGZSGLhXFyRVFANy0kQXhb8SQZAxDQL3JhhCgKyJYGWAjhXvTRbiRfKUL5HLLytBMniGCgIyG/1cq6KVIk6I73MpGepNlTTlVkEkVUGPF4yDo81LpqiOpRwrkwHsVNQPGTjVq4PSIRbYKhTJSAy8tAbJiA6qXOV42QyyHKTmSHSi6XQjd1XJaEOhwhfbob7/y5pIdHyEUjOJubiHtCYEmUlklESBOPahiTKtm4QXm9C92fImdq9Eb7USSVen813ZF+PIqL+SVNKCmNbGc3kqLgmDcHTRIwDQ09mWIwG0ZyOHE5nPRN9iOLMq3eGjwnhzBVJ66mGgbkJN3xQQQEytwlxDIJmv01BC0PkihgSgIpM0vPZC8TqUmafLV4JSdKLIUcSSFUl+P2+9HH+8mN9aGU1TJZXkp7bADDMJhTWo8zlsPVO4oejSE21RIp91DrLMWKZ5EEHa1vgMzQGM6mRsSaShQhh6VJJE/3oksWE/U+elIjlHlC1DlrKYknGXZodKSGEZFpcNZRIbhw+ST69Cjd0QHqnWVUqD7ckSSRdJIhHwxmJ6hyV1CbFFGGJnG3tGC5RHLpLB6nimZmMaOjqA43pmGgR0ZRqlqI+UL0JgcZSoxQ66umzl2DajltdUkUhDMB1EEUQU4n0UaGSJ3uwllbi9zQhOGYdhZl8gHex/RJOiNdWIZGi6+airBB/GQ7SsCHu6WFXLD6ovpN4czIVpREBC2HJcmcv2r6QvpIQQAZHUsQ8ytPRwdJdXSA6sCsqCfjKiEYciOKl7im9AymYRIeSzM+EidY5qas0ousvHX7kEvrDA/EyGZ1qmr9+ILOt0z/QSWXMRgdipFK5Kiq9eMvdV1UfoUs0mQP2ngvkr8CQs3kZN87Ltfb1a8r2c/LaEjRPvSRLkRvCWJFi62PKPKLz+V08Ao1v4tcFIYpYHDpXyWLfDgQRIFth4f43rPTqoxLW0P82v2Lccjv/kppWdDJ7X+GxN7np2yeJTfgve0L73pZ3mssy0Kk0LmD/LIzkQuLbadzaZ24aVroooLYtY3wi9+csqvVrfju/B9TqwIsE0RkLmQ8nCHFv+z/Ll3h3inbl+bdxvzNz+ALVrG7tQW9YSX/vOu7U3vVFEnht5f9Kt898Cy9iQEeWngH/773+1P5Kzwh1tatYDIdZjId4fhYByWuAL9hrCD63R9T/0ufpudfv0V2YFpBsuI3vsTRSDl161QO9JzA3FPBcG8C1SGz9hOlODSRb+z8HrqZ30PlUpzcv+A2vrn3Uaq9FXw+0ULy0Z8BELr9Zto3NjFPKue73S/SEe/nl1Z8lB/sfhLjzP4wj+LmN33Xkvr7b+D+hz/kazu/i3b23LKTBxfezl9u+xf+56JP4Y/pjFY4ePTo0/TGp8v85QUPUPvSYSa3vomvbR4Va2pIHX8NgOgtn+HvdjxJIpcX25EEkd+d8yCj3/j3qU/q/v/+S+yoH+YazcvQi1sZf2NaMKbitlsJrllMz3d+jJXLMfD5m3h077SKaltZC/fVbeTvdn8f44wX71U9fKbm01RpLv70wD9On8tdyn8ruZE36OWVjl1T9msrlnH1jhG0Rx6j6VO3IWgThEe7yQ1NC4kE1j9A8uhWzPI6ft5YzZbeaTGX21tv4O6m2xDM6XbJPKf+C5rG6M+eYvSlaSXRiltvoewjD2OI+SGFjsi4PspfbfvnqfqlSgq/XXE7mUd+lP8/amuY+7u/QcZ/4UHBz76HhmGCKJ+/zfMizgMa+fxCXwcn/+KvphoAJRiEh77MUH+QxVfVXrIqtiDA0X1DbH11Wphm/qJKbrhzPsIMeyYBsmmdH39nD4lYduocH/v8KkorLjwkygcBPWvw1KP7mRidFrW6/5PLqWkMXNAHAVEA48QWJl9/ZMrmbF6G56Zfsc1aX25m6ueXtJbx6/cvecf9vCgKCD37GH/+X6dsatUcfHf9NjnpnTuuRT54FPfgFSnyLhBLazz2kl2V8VDHOMPh9HtSHjk1TmLvCzZb8vBmtImBWXIUuZIoWpToaz+w2XJDHRC+MHXA8xlMDdmcO4Afdr+BvuRa9P4TrHKWs2fokE2IRDM0JqwxTkVOs7ZuBa90brXlH02O45Qd1PiqOD6WH7TeVrqCxON5VUPR47Y5dwCRR59k2VU+XujYTJ3QyHBvAoB5K0vRXVne6Nk15dwBpLUM46lJSpwBhhKjhOumv06Pv/AKK+RaxqKjdMT7mVvWzKHhY1POHUBSS3HSlaR0w3peG9o75dxBXkRlOJG/h8PpPmS/h0wubXPuAH7Y9TKuGzcAUL5+OanjeYVP0enlBJkp5w7AsExejBzCs3h6L2P2Jy8wPj7MpMdjc+4ARl98CSOmke3vR71tI08M2Z8xosgLw7unnDuARC7JoNXHyJiGLE5/kx1NTRKv9vPKwC7bKbaMHsRYvwQtGiUb0ZBLKm3OHUBs7/N4Fm4gOmehzbkDeLHjNSJ6mNmwJsdszh3A6EsvY01Mq4eKosD2/r22+pUzNHZZA7jq8/tJ0wODpLq63vEs2TtBNnUGfvRj29cdLRLBlxhi5+tdZFOXLsyRTmq8udn+3E8eHSEWnV25dLg/OuXcQd4RfePl9ksuwy8q46MJm3MHsOm5E5gFIlczo2QniW39sc2W6TqIEBuaJcflYaZ+/nDHxGXp5xUtRmTz92223PDpS+4jinzwKTp4RYq8C+i6RVYrVKHL5i5MCfFyY+k5Zvr8XVSTe28QTB0zWzgIsGZQgrwQsubMKpCm6gBAMU3i2cKQLpkzapVuxUUslyg4bliGLXyAS1Aw0vkB61mhkXPR4wlE0yCciWHp0wN51S0iixKxbOE1ErkkLiW/LC0n2qdVRcMka2rTZZwhf9RIoVSUEc4ULnNJ5JK4FRfhbAzBtMjNoKyXyqUwpuT8Lc6+J4LqJKoX/kcRI4nom14qo8fiuAUFfZbe1czln7HpKFT6PFu2gnIbCUzdQhbts8Q5a2YHJCeemelKpoFCB8rKZRFkBW2mNgCL7AyqpdN5Zz52rl0UBSbThU7ipJ5E9kzPRpmZzNuGE7mimDpaJFpgttIpBFFAnyXo+oVg6DMHRtdmafMFATKZQjXQRDyLdYGOzQcFTSt87qlE7oIdPEx9RtVMS5u9Xl8OdOPK9fP5PqJQsbnYZxeZjaKDV6TIu0DAo3DVggqbze2UqS67cstF3grLW44Ssiszyv5ylNILXy5V5PKhqwHcC+3qlIKsIpXUzJLjral2V6JI9qXj11QtRe04gKC66BNNls2goFntqsQlO9k/dIQN9Xa1SFEQUSUFwzLwqPl6uyPZiXd9XvFScXsQZPuqf++NGxmNStzYvIGsK4HqyDsoXQdjJJJp1tQuLyhDc0kDQ/FRJEEklJwe/Dtqaxh35oOaOySVE+OdrKheXJB/iVLN2PMvc13dqoJjLaWNDMSGWRloQdM1St1BFNFe5murViB15r+KpwbGkUvzCo1GbJzF7oqCc97gW0jqwJGp3+6brias6AQTKRwV9vTO2hocVeX557TvOFeVLbAdPz3Zw011hUqjzY45BEoVW1gLURApycrUeO3XKHeX4hnIO1fu2hCWnkNQ7Pu4XC3LyfSdoCQWJeSyK2PW+aspc5QWlOEsUqgcZ3WVzeasrkIKlU/91nWTq+sL72ODq4VER35WS5BlXA0N+eWW7xGG4qLyjtvtRkHArGqkotqH26POnPECcPtUahuDdptXJTjLXjLLguq6QIE/vmpDE9Lb7Nv7oFFW7kE8bxnryvUNyBe4l810luBsXGKziU4PQrBqlhyXh4D7yvXzmhrAs/g6m+2d9BFFPvgURVZ+wSiKrPziEs/qvLizlzcPDzGnJsDHbmqlMuB8z9SwnNkxUrufJtNzCLVhEd7V9+OrbynWr/cIhxYhe+QVUse2IpfV4t/4cbK+hkvaAyQIAsPaID85/nMG4yNcXbOMqzUFV/cxYsuuYa8W5eq6NfTG+njy+POYlsktdTditHupX+Hhhb5XaAjWIggCW3t3EXKVcvf8m3mpYwuJXIKPLb6XlzpepzvSx6/OuQffrlMkj5+k5qMPMvjkz9DHxvBetwHnuvVs2xZm9Z1VnI734kuV0vFmjInRNOvuqcFZbdEb6efV09uQRYk75t7AgaGjRLNxPjLvNhw/30py5z48SxdRcs9t7NB6WeSsJWNkear3dUp95dT5q3jl9FYcosKDLTcRfG4XmaOnKP9vX+CoO8Fz7ZuRRIkbmtfTE+5nRWUbc8UyMskEuYoA6UySJ06+yEhqgo2Vy1hXuRTj8AmSz7yK6HLQ8mufI3H8NfTeQ0gLr6V37gJ+cuIlMnqW21uvYxEhEv/5I3Ljk7iuX0diRQuVoWpKI2mMZIKRl7YQP9mBf+liQjddS+bwUyhtDzD0+BNI169mVzDBjrEjNPiquLvxVkKpHAeNIZ7r24ZDUrmj7haajAAeb4btmSFe7tpKqTPARxo2UDdhMSbqvGqc5sh4B20lzdwstWA++TJ1H3kQK9lJpnMnwasfIn7oNbSxPtwL1qEEq4juehrvyjsIz13Gzzo2cWKsnaWVbdzRchMBoeQt65ccHmXk6Z8RO3QE/9LFVN57H3qJfWBriBonwif56ckXMLF4YM71zOlNM/bYT1FDIeo/9gBC01z0y7yH/WL7SCmTJLl7J8PPPovk9eG7/T4GrDLmLqlBdb4zmYJcWmfP9h46jo1S2xhkww0tuLxv7TROjCTZ8uJJUimNVRsaaWmreFthlg8aggCR8TRbXjpFJJxm+Zp62pZVISsXvs/ZqU2SPvAC6VM7Uapa8K3/CFlPzTvub9+ufsUzOi/uujL9vEOLkD22idTRLciltfg3PkzW13jJ+0SLvP8oqmgWHbz3uhhXFAuLkUiWoYkkHpdCfbkHlyIhCKBmxrEm+/LCGGUN5JyhXyi5YEGAjGaiyOL7YvpcEk1kPYMhOdEt8UNRvy4HWd2kfzxJNJHLx9MrcSGJArKZQYz2YyUmEH0hjEAduuC44POKIih6ClNS0awLG1wKAqSTOmJ4FGt0EEmWcDY0oAfKsCQDnRzeXBoxPg6ChOYJYqpljOsTjKRGaSSAOjSBmUgjVpbR7dJQHC5KnH5K1FKyuRjW5AS53n7UinKsmmoiaZANhWw8Syaj4S9VcTuzZAWNgOJGM3XGSDOamkDBQcgVIpILkzXSNPoa8JgedCXLQHKUtJahyhfCp7rR9AxZw0A3dUZSE0iiRI2zkmTCAe4YY+kxVEnB7/DiER0EFQ9qziCXzWF4naTR8aYFHEiYLhE1pZFQAVkigUZfbAjd1Klyl+E2JfpTY0iKQp0zhBSO44hlUUOl5Mq8jKQjjKTye/YafTX4NJmImKE3MYwlCNS6Qvg6R1G8XiSnipnOokUiyIEAucpqxqwo4+lRPJJCvangzWTJ4GTIYTBhpql2luK2ZCxZRlZk5HgMJTKMI1AKipdJt0pYTxNJRanCQ6AvghAohVIf0sQEgm6gxWJgWahVlWT9DpyqA90SkWUvUTFNJDuJ1wjRO5JD00yqgk58XpO+bAdNBHEMR7FyBkJ9AxFZocSp4kyPMCqbDGhxFNlFrbcGD34kdOTYAGZ0BMHtQwjWY+gilsOJMUtrJmGipSbQo1HUVA6lth5RtBBkhazksrXdAhbi+AjZgX5EhwO1vgHdU6gQGM/o9I4mMAyTugovZV6HbYB7tg0zdJPweIpUIkeg1IW/xDnrclBRFBCzKRBlcpaMpAio2UmsyV4s00AqrSfrqrikvkYQwNAsJFnEughVGMsElzaKMdGHIEoIZY1klbd2vC8n+XZFY2I0H6C+rMKLw1XYJhmaycRokkxGozTkwRu48PbuQjANC0kWLunZi6KFoqcxJAe6dXmULC9UpfVK9fOX0kcU+cWhqKJZ5AOLIMDx3hhfe3TvVIO+eE4Zv/7AEoLGKBM//nPMTH7vkOj0Uvaxr5BxVr6HJb44LIv3RDVzNgxTxBDdl6xG92FEMy0ee7Wd1/dPC9L88n2LuWZRKfqB54jvenrK7l//INLSuzAucHBhmpC9yP8jEc2R6DxN4rv/hJHM79GQfV7mfeUr6KWV+KJDjD3+l3BGjEQpq0O959f5sze/wW0Vq/A8f4LM8TPCAIKA/9c+w9dTW/AqHn5/8RdI/ORJwm9sm7pe6Wc/RmTOGk680cVAT+RMPrj2oUZ2aFvwOjw0lzTwgwNPTImFVPsqWVWzhGdOvoIgCPzvjb/OpuM72TE4LfDxsbYHOB3pYnHVXL5/cFoZs95fywNtt/PPb/7n1EC+MVjHglALK9QS6vpHGHn1GOGHr+NfTz/DLzfewQpDwkzEOfHYK+QmJ/H9/pf5p/FXiWXzHadLdvLFqz7O64N7OTp6ilpPOZ9LzyPxg5+ilJZgfOXL/OOe703tN2wI1PLLKz/GX2/9N1Jafh+eV/XwG/5rSf3d12n+5S/S99iP0eNxZK+X7B9+gW8ceWzq3tpKGvmcUsvRkgD/dXRaufaqmqUs8tey+ORhcu37puzSx/+Av9v5M0ZTE/n/U5T5nfq7yf75nzHnV75ELpFk+PkXyY2PAyCqKo2f+RQnf/Q4Zb/zZTI1ZfzTju/wS3M/z9//+CCReH5pp1OV+PU7F1IfDDLyz/+GNpIXRhFkmerf/F2ykwcYbm3k/5z4+ZRATYW7jN9d92uU9B23Kfi55q7Bdf3nZw0LIghgdJyk42//bkrExDtvLg2/8Zvoqqugjgv93Zz4i7/E0vPXddbVMud3fw/dN+3URFIaf/nd3UzE8vs+HarEV7+4lsqAfQmqaVq88VI7xw8NT9luf2ARcxbM/EHQNC1MJb90UgQcmTEmf/KXGMlIvmyKk9DDXyHjvrCA6udiWSDKwkU5dwCudD/jP/qzM/ulQfKVUfrQ/yajhi66DJdCMpbjsW/vJntmX6DLrfDwF1bj8k7PuOr/P3v3HebWdd/5/31uQa/TO9uwiqRYRDWq995lq9iSu2MnTmInzm6S/cXZTXGSTXHWSezEdlxlW5YsyZLVe6dYJJKi2DunV2DQb/39gSGGIIZNIoftvPz4ecSDe4ED4M4FvrjnfI7p8Mwj69izY3S+pYDbP7mI+ubwUfvhVVE/XHEH4DjiiM+nR8Ox/Jz/MJ8R0unpxPmmKUlAznL4/uPryk7o67YP0jmYIb/+9VJxB+Dk0+Q3vXVcU9ik009fIl9W3AH85KkNMNJHavkTZe0jyx5Dzw0cs74oimDTBz2I9StLxR0Uw00Sy5bhUWySr/+iVNwBmIMd5Ds3YbsOs43IWHEH4LrkfvE4V9UuojfTj9nTVVbcASR++Rhhm7HiDsCF957r5bLmC8mZeV7buawsCbI71YtX86IIBdd12ZXsKivuAB7b/Fuunnopb+1eWZaMObWqlV+u+03ZVZpdiQ6ivjAPd60il+snfvcN/LzrFTyqziwlSub9Z8j15zCGhtDjMdb7M6XiDoqJmqu63ufclkUAdGb66WsOgaLgPfMMfr3p2bIwmd3JTrYnOkvFHRQDW9Z6hvHW1tLxq4epubA4h9J/5YX8dOtTZc9tw/Auepon8YutL5S1r+pay5l6DGef4k5oHjYmOkrFHYDlWDyVWkdwwVz2/PyXeGtqSsUdFINbhlasJDipDVas4+2OVUyOtdDR4ZaKO4C8YbNyxyDqjs5ScQfgWhbpF55CC3t4ou+DsvTRvuwgW4e3kHjtF2V9z21ZjpLs4kBUI8+u//5RWUJlevMWzI7dFdtqtknHL35RKu4A8h2d5HdsH3tdBLy/fbBU3EExvOLJN3ci9vsMGBnKlRV3UExhNPKHDrsQQmDsXF0q7gBcM0/mvWdQJ+gbk6q4pFf+tlTcAdipQcw965iITBpVFax7t7NU3AHksiab1/eWfd4O92fGijsAF55/fD22JasPSTreZIEnnVAsyyGRrkyFyuYtrHEi/K3BDlngSRMqm69MZyuYNnYhS8XPqq4zbjrmUeOCkbewB3oqbsp1dqJiY4/0V+6WS6ErGto4z8VMJImNrhVl5yqTNh3DwChUflFOp/Kojk7UF2Yom6i4vWAVSimQ+XHSQQ3bxBUOg7nyfWO+CEP7tQHYjk1fLoEdDGP7dJL5FH7dh+66YNsUhotplHokQm9+sGL/wewwujp2ZTXlGii6jqiOMjBOAmTGzKKI8o/MHmsEPRrBHBlBC44GKcTCjIyT4Jl1TMxxkv3YLwVPeHwMW5Wve18hgaiKYY6kcJ3K198YHESPxSh09WDYJvWhGvqGKiP5kxkDe7gyObLQ0wuhGnrziYrbBnMJxDiXDMZL9Ss9D8vEGKx83a3MOPvYJkZ/5XFqJROlgkYIQe9Q5b6dA+mKKzxGoTKN0ijYWOOkM+5PUcBO9Fb2ZagLRUxMIIzi2tjDlZH+VqJ3QlJHhRAM9lceg4N96bLP28I4qZ+pkQLOcQzOkSSpSBZ40gkl6NNYOq88FUpVBI3VAQL7JUgBBGZfiGXJDxNp4tRXBfDtl+bW3hJFi9WhhmJl7Wq4GhE+dkOqXFwaW6LoZ55TcVvVBUsp4CE4/7KK2/T6KRRsg3SVH6GWP5fg2YtYni6uc+eta0TxlQ9/802bQrDKV3HVZOrcanqtHrYP7uKs5vkVjxnyBEvLEtQHq/Fp5XN1JkVbSeTSnNVUvu/a3g0sbVtS1iaEQFd1LmmYi3ewBzbu4uzaOSTyIwwroNdPJjy1OJwuu6eDRZH2iv7Mr59Fb3qsAGm2AziFAsY7q7lovwROgaA10lh2VQ/gLG8bmZ27iC1cwMj64uLG9or3WVJ3Rtl2qlBocDUmR8vPbT7NSz4YQWhjwRtOdoQZwcq0v4ticzDefZ/YogUVtwHEFy9iZN0HhM8/m0mxFt7e/S7zZ8QqtpvbFsfTPrWiverii3G3ruDS2sp01VnV7WjV5am7QvOgHCSV0PGHqLlkv3O2ouBtqkz9s70Bai6vPE79U6aWijfHcVk4o7ZimyuXtFUUn9GqQEUwScvkGP7goQNdbNvFO21xRXtw/mVYzsR8ZbLQCMy/vKLdN3nBhGQQWJbDvMWVw1HnnNlU9nkbrwlUnAfmLmjC45WzfyTpeJMFnnRCES7ceVk7lyxqQVUETbVB/uxTS6gJe3HrZxG79D4UbwDFFyR22f249bMOfaeSdBRF/Tr/69NnM7U5iiJgyex6vnz7fEw1QtWt/wNv62wQCt62M6i+5esUlINPhP4oXBdapsSxW9qpvv3jqMEAWijEpM98Gk/7TBwHPLMuIXzW9QhVRw1XUX3TV1Gqp3LzzKt5NLGK6B98Bm9zE0JViV60lIHL5tKVH+Szcz+Bp7qZ9j//H/inTAZFIbjoTOo+fz9PruzkslvPIF4dQFEEsxfVM3NpjCe2Ps8lU8+nLljDRZPPQVc0qv1xvrj4E2zs34aqqFw46WzqAzV89ewvMCnaghCC+bVn8Kn5d7G6ZxUAV027CF3VifujXD75YhZXn8PFk85FVVTqgjXcO/9WbCPPUq0avX4xvQ8/wY3VSzivZREPDS9Hm3kRasBk8n0fQw+HCL/wLvfNu5WQJ4hf83HjjCuYUTWFF7e9QZU/xpfnfRz9uWWowSB1l13CrOqpXDBpCZqiUROo4itn30+TJ87ts68joPsJ6gHumXwlVW9tourcc2i8/lqcQgEUBU3RuHXaFZzXdBaqUGgK1fG12TcRW/MGX5xxEwtrZiGEYHKshXvm38J/73gF782/j1Y7GYSCf9pipgRr+Z1Z1xP3RfGoOte3LGXGtgyh2XNovPFGsrt303rXx9BjMRSvl4Zrr8axLBpuvI6ByXHm15zBx864kU3GCr5wy1wiQQ9+r8YtF0xhSp2fZVoP1b9zH56qOIrHQ9U117PLNwUx/1YWWR5umnQeHlUn5ovw5bPup8HXTOTyz+CfeS4IBb22jZo7/hTDV1lw7WUjqL3hRmqvuByhaXgb6pnxJ1+H2sqlWFwXYhdeTMONN6B4PHiqq2j/2lcRTa1l202qC/Hl2+cTDXnweVTuunIGZ7ZXV1zB8wV0Pv7ps6hviiAUwcy59Vx98xnjLQk4Lqd6GvGrv4ASiCA8PqIXfhylZcGEBXq5LiiTFhFZeidC96EEIlRd8zvYVVMmpgNAU2uUy66biden4fPrXHnTHOqawmXbhKJe7rx/cfE8oArmn9XCORdPwTmZks8k6RR1XFI0n3jiCb7zne9gWRb3338/995772HvK1M0T5OUQyHIGja6KtD3+YVQUQS6lQIEphY6rY+FY+G0Ob6OAstxyYssA4U+ClaBhmA9MaUKzTVQ7ByOFihLOdNcAzXdjZMeQg3XYgbrscWHi4gXAtSRIYzOToSm4WluwfCG0PMZhCqw/eV/G4oAj5XCVXV6nAy9mT58Hh+6opI1MrToUaLpAkowREHTUBO95LxeuoVJwTSZplajJ9LkE0mUeDWJcJQRPUlMi6AKlSQJLNsEF3JmlqpAnIAexHAM8pZB3ioQ8YbBFfiVED25PUzWa8BwyangR6HD6CHsi+DVQgQVBcuyMLwKvpyN2zNIvi5ERnfxal40oTKcGSLnWNToIeJJG2UkQyGbxqmKkG+IMZgfAdemyV9D3NSwNUHa42LiMJxNkjfzVIeqCateAukEylA/ii+MTYBMZx9uXQNmfQi/AlnHoDs3iAvUBKsIWiq2pdNrDpExM9RGqsjm0+i4tPiqKJgRcvkCvlAev23gdxwUbxA7mcLy6uQCXlxFY9hMIxCEHR/+gktAd3C8XtzhbrANMlX1JFwTnykI2TrDHg/duT5wHdqCNUTyGrqwsDM57GQCK5/H09iEFguRKwzRRYG0Y1ETqCfgxPCrGrrPJWNkYcRE6elEmCZ6YwtZTxRfQMer2STzFgkrh0Ah7g2XAiM0YaNZGVKun47BAum8STToAdelLh7AN06whIqLkkvjahrWaJCJ67ikEnnSqQKRmJ9QxAuieJwq2RSoKrY3MG5BJYQgbzk4rkvQo+w7xQ8oP4e5rltcIF5XKgaYqljomR7skX6UYBV2pKlsyQYhBB47DbgYauiQxZ0QLt5cP3aiG+EJQKwZQ/lo658pCuhmGoQY7cPEft4pisA0bASgedQDft66jotju2ge9ZSP7JefkdKxdFKnaPb29vIv//IvPPLII3g8Hu666y7OOecc2tsrh9BIpzHXJTDO2j+O445dEZHFnXQcmWqW/179UzYNFoMgdFXnT5f+HvVaI6h62XQ8Vdg4G15k+PUHS22xyz+F0n4RjnvkAynU/m42/dVfY2eK82SKiYN/hBUeXaB6v78Nx4WCFmZnbif/9PZ3SwEo8+pnEfGG+UnvJv6w6VyqNu7Byo6QqWvmh2YXW5MdTA41ct/IZJK//E3p/qo+fgvr2hUMHGqDNWwc2EpA9/P2nuIVOIHga0s/z3+t/DmpQhqAmkAVl0w5DzOvcmaojcEHfsnIO6NBK4pC5Pc/zd8NP8jnZ99EkzKZYX2Qvo5ump98j8K15/KtZT8uhX/MqJ5Ka7SRtT0b+OPgxaQ27qD32ecACH76Tn7YuYHudDFEJOgJ8Mdnf4bo6uVk4hH+X/8qBrLFOXYRb5g/mn8nhV/8Xem5Bc64nKFlHYxs2ETkhpvJX7OEh7Y+y7q+TaPvpcJXz/08b+1axVujQTGKULh3/i08vP4p2mOTmJtaypm1Nvaj/0rKMkgBnoap+JpnMLLqGQrXf57/u+MF0kbx/avzV/E5ziTc2Y+/Kk1+6/JiZ4SCes39/OWOF/ncwnv5xarHGMgVh5WGvSF+b8HnCT79ChTy9L/8auk5tP7Z7/NQbg3v9G4o9e/TMz5BndFM69Q4iT0pcj/9HsZoiIni81H7pa/y7Ooc598wi//zw+VkR+dXtdWH+aN7FhL2aliuyogT5LuPrWPdtmI/dE3hU9fP4devbOOLN88lsN/wZRuB7d/nyo/rsnZlJ2+9tK3UdM0tZzB1dg2OC87ebQ9wenddF68qAFFR3O1PCIGqV84eVIQL296i/4X/LrVFl96JesY12KilxykowYP2ZV/e4W30P/x3MHqM+qYsIHjZ5zDUD38F33GgsHf/41A4OU5xeYe9/30gQhGoijjliztJOplM+BDNt956i3PPPZdYLEYgEODqq6/mmWeemehuSJIkfSS7Ux2l4g7AtE0eXP84jlIZPKBn+0m+/quytsTLP0PPVYZQHIoqXHqffqpU3EExcTC7fv1BE/YMUeBHqx8sS7d8v3cjLZEGhgojvOuk8TROJb9jDZ3xOFuTHQBcHZ1P8lfl6aBDDz3OBb52Ah4/T2x6nlk100rFHUBjuI7lHe+VijuAgewQGSPLa52vER5KjhV3AI5D4YHHubxmAT/e9DTCl2dTuoPpWT9u2M/DQ8vLkh03D26nOhDn+qqFaAMjpeJODQTYWauUijuAjJHlld3LcYd2sk63S8UdwEghxds969DiY8MGsx+8SM3ShcXbn3ycwfxwqbgDsF2Hn6z9NR7v2NUex3V4avPLnN96Fu/3byI81ULf9ERZCqLRsx01GEWrbePV9J5ScQfQlxtie5VLeEbzWHEH4Dp433yCG9rOpTPVUyruAFKFNG90Lic6f35ZcQewp5AsFXd7+/fo7sfp6O2jf6SAuWNbqbgDcPJ5si8+SWtLiN+8vqNU3AHs7k2xaXdi7L5706XiDsC0HF5YsZtwwMOu3rH3+0AyKaOsuAN4/rcbKGQr/26OFT0/SOLln5S1Jd98GC3bd4A9Ds7jFki89MNScQeQ37Eahvd8lG5KkiR9aBN+Ba+vr4/a2rFx+3V1daxdu/aw9z/UJcnTQW1t+NAbSdKHJI+vw7NiNKVxX50jPXgCgri//DXM7thBxWUAx0KnQOQIX28rm2PXjp0V7YXubpprDnxfPel8WfT+XnsLp525IUS0DqF5GLbHkh09BYuKSyWOg5vJ4gl5yJq5suILoDoQpydduTzEQGaIkDeAPVJZCBT6+6nRwiQLKUxMhnNJRFpFNNbRlX2vst+2hd8UOMZYX/VolG6zMiFy50gnWt1kdmYqn/+O3ABqpBprn9RCwWjapeuSNiqTG/szg8R95UEsg7lhor7i62+Qxx6uTP11ClmUqgZ2ZCtfm04rgapXBlvYIwO0hGp4e58fE/bqyXXhRirnIWdEZbE0lEug1wkKBRslOVRxe6Gjg5rLvOzaUvka9QxlS+eFVVsrb+8eyDC/vYZUzjjk+WNksDJV1rYcXPfonXsOdT/5jk6w93+NXDQnd8R/jwBmMsfgYGXqpWKk5fn0FCTfU+lYOlrH14QXeI7jlMX8uq57RLG/cg6eHP8tHTvy+Dp8TcHKsIjzW8/Czij0p8tfQ683juILlq3jqIZimHqU9BG+3ooiqL7oIrI/e6CsPXTGnIO+d4qis7hxHqu63y+1CQRetZjgeHakFaeQwzXztKljc4f6vTYt0Qhmcqyg1cJhzFiQ/uROWqNNqEJFVdTS+nXbh3ZzVftFbBncUdaHyfEWdiT2oLfWFycS7jOkK7BgHq9ndzMzNgmP46Mt2oSBjvXSa5x9w2xe71tddl8+zcseJUm7N4jq92Hn8uR7e5mt1/Pyfs/9gpbFGK89yVnnXcPy7vIfFM+PT8N479Gx10T3YY+uLqD6/dQE4uxvUdNcNu9XcM2unc62oV0A+M0I6pRzcNaXr3un+MNYa19h6YXXsWO4fD24uZ4GzKRBMQlk7HVRJ83lzd71zG1cwLLOd8v2mV+1AGcggeLx4BhjVwtr8SMoX1x7TtUMsn0u8RleBhvKw0sAIuedz1vrhrnwzGYefHFz2W2z2uKlY6u+yl/5esyqY922QRbNrDvk+cMX1PF41bKlNiIxH7pHOSrnnsM5h3m1KGq4Cjs1VugKbwDLG/9QfVCFl8Cs88huKF8z0o3Uy/PpKUZ+RkrH0tGcgzfhQzQbGhro32e9m/7+furq6ia6G5IkSR9Jg7eBzy+6h4Be/DJ9TstCrph0Ea5b+YOV4YlRfeufoFUVi0K9ppWqm/8YQzvyX+ocxyV89jnUXXUlKAqK10vrJ+5FmzztoPsJR+XO2Tcyv64Ygx/xhrlr3k28tXslN01aypTuDoyBTmLXfJnqre/zqfYr8es+Hu97h9jvfRp/c/Hqkre5iaav/S4PdrzKlFgrV067kC2DO7hn/i1U+WPF1yZcy8yaqVw8uZh8qas6102/jJFCmntm3c0yq5vWP/wyejQCQHDeHEauXULOLfCJ2Tdimh7a7Qh7wiZVV1/OJYV6FlcXr1QFPQE+eebtrOhcwysDa7FmTWLSp+/HW18PjkPVpl7unHUtHlVHEQpXTF5Ka6gO78X3Mam3m1unX4auaKiKyiWTz2N23Qy0aPEzSIvVE116H51PPI+3oZ7aL/8+EcvLfQtuJ+wtfpjOq5/FLZMv5+KWpUS9xfdvVk07ixrPYPvQbr604C6MLp1u/2L0aecAAsUbIH7ZJ8nuWItTyDLPE+OqqReiCgWPqnNb60XE3tlKqi9P6KrfRQ1Gi8dJ2xl0zjuHNQNbiXp83DzjWnRVR1VULm27iBmBdnI5i0n3fQLv6MiY4LSpTIrV8ZXZN5b6N6d6OlfWXMlZZ08h6FWJzppB/O5Povr9oCjEL7iAZPN85ixo5IL5DVyxpBVFgM+j8unr5zCpfuyLRFPcz1fuPJOQX0cIWDizlqnNUa4+dxJN4xR/+/P6de64bzGxquKPCPWNYW69dyHKOAEtx0pBDVF18x+h17YBoMUaqLn1TzA8lcX84bBdheC5t+MbXV5B8YepuuErWKHKJSEkSZImwoSnaPb29nL33Xfz8MMP4/f7ueuuu/irv/or5s+vXDdpPPIKnvz16FSnuDZisA9zeAi9qgqnqg5XqIfe8SiQx9eRURRBxk1juRZhNQz2wb+ketwcipHF8QQxhO+g2x7ysXFQUglQVJxwFCWXw+rtwjVN9MYmrEBk3P0cxSbrpnFw6M8Ooikqzf44obyNowWxBofIhqHXTqHoXuKeCNGCinAUrFyB4SD0mwkCHg8xXxQdDQsTw7XAdTAsg5gnhO042IrAdCw0oaDZDv58Dq+iM+T3kCtoJAdMVKFQX+PFFin8WoABO00mP0K9L0bGymOIYrBJzsgR80cJZG08uk6XlcS1bepsH76UgSceJ+tx6XJSGNhU+eMYloHf9iMSgkDYoV8MU+0EMDwqec3FdV00IYjjwVPI4boaBdvFNk0Ujx+BjciZuFhk4n5cVaFgFhhJDVPjieILRMnaNlHNQ95OoyNQhQdd0SgkDTw+gRcTO2OS7+1H9XrwNNYyEvLRm02SsTLUBatpyOs42TwJJ4iDQl3cQTVHcBSVYQ1UBIrhxVY8ZBUDx3Wp8sTIJAqENBM1kyyGYbgutmHi6B7cgE7Oq2AqCj4niK7quIpLwh4EI0+VEsFJ5VFtC8MTIIGPBjuJ2dOFGg5j1jRT0LyEvGrpQqvqmLgDfVjJJEpVNZlgFWJ08fqQT0VJJTB7uhG6jtrYwICaZyg/TMwboUqrRrhj5zHHdjEKFl6fjjiKtd2+5zAhwMhZJIZzeLwakVj5+o0et4BipHE8AQwxfnHq2C7JoRy25RCr9qN5Dnwu1oSFVkjiqh4MLSJDR05BtbVhegeGGTQHGTFS1PiriCpxGOeHPUk6Uid1imZ9fT1f/epXue+++zBNkzvuuOOwiztJOtUprkN+5TJ2/tf3i8PXhGDyF7+A76xzcQ53ESdpwjiOi5/RpD374NsCxS+R3kNf5Tisx0bBGU3NVFNJ9vznd0mNLratx2JM//M/xYrXV+ynOCqGY/APb/0HqdGgj/n1c7h/9q0YTzxBakYj/7b5ZUYKxQ+ZuXUzuX/ux1n5fgpvLMVDH/yMnFkcw3hOy0I+PvMWHAe+s/IndKZ6AGgK1/OFxffyd6/9O3X+OF8OTcd+/RHSuKSFgnHrX/NPv95M33BxPtakxjDXXx0izWYeWv9bFjScQcgbIJlPUeWP8erOZQBoisZXzryHx7e8yrbh4nDIhkA1n1EWoHXv4le+7WwcLAZ4RL1h7lt4B/+w4jt8eton2fRQmsuua2Lo4YfYc+c5/HjtI7i4CAR3z7uZqkCMH7z7y9JzO7duDndEFtHxN/+Ka9v45s9hyy0LeGRrcdilKhS+PO1mZmdtRl77PgBu/WS0i+8k9/QPcFJD2E2zcdqvZtePH6AwOnIldseNvDTN5fU9xTAVr+bldxd8lq2vptm+eRPBsJe7rlIpvPpdPDUtBKecSfKdx4tvnlDwL/0Mj7yhs+icSdR4cgz+4ntYw0O03XMXu37689JQzeAlV/B0YA54/Xzy6pkIBd4dXM2W7nV8TJ9Mz5NvMfLBxuLrGo3S+ntfYfO3/hk7U5xzGD9nCY333Y/lFr9EqI5J6uUX6fjFL4tdUVWmffUPUGefieu6KAM9bPnbb2ImEsXHnzObrdedwa+6XgPgk/Nv55zaJYjR1FhFFfgCH26ZkMOVShT41Q9XUhgNjZk9v5ELr2ovJUMawgte7wH3twybZx/7gN3bi8E8wXBx3Td/aPx+W66G5aku/kMWd6eknJnnpc7XeHRjMRxQVVT+8JzPMS3QLgt66YRyXBY6v/HGG/ntb3/Ls88+y+c///nj0QVJOiGJ5CC7fvDDsS8Hrsuu7/8AkTjytEXp9JHfsrlU3AGYiQR9Tz2NOl6+u+Lwm83PlYo7gLW969mV3M3Ijm08b24tFXcA6/o2sS25i417+nlz4KVSAQTwTsd7dGa7WNW7tlTcAXSlelne+R5+zcdNDWfCG4+yd16ZFq3ljbVDpeIOYFd3ilR/iKe2vgTAzJqpvLFrBXNqp5eKOwDLsfjRht8wrXpSqa0nO8iGqEFXjVoq7gCShRQrOtbQEm3kie6nqGnx07U5jbjzSn627jel+WkuLlsGd/Dc1lfLntuyvvXsKgzj2sXK3b3inFJxB8U0zR/tfo6EHkCLFodHqo6DtmE5zujcLu+U80m8u6ZU3AEMT4qXijuAglXgV5sfY/o5xWL8vCURzLd/BI5NcNZ5JJf/duy9cx2sd37KeYvDrHhrF96OjRS6uqi5YCldTzxZNg8v88oLXNwoeOv9bnb3pUnYw/x4za+4MNSC3ZcqFXcA4fZpDPz64VJxBzD8zgrMXWNzKN2BvlJxB+DaNju+85+o6QSqcOl76qlScQeQWb+B6cMqulL8Hfln7z/CsD2WYDoRXnpqY6m4A9iwtpvh/srQnAPp7hgpFXcAmVSBlW/tPKLcAOnUsjvZVSruAGzH5r/efYAsh06QlaSJdFwKPEmSxmenUrhWebqba1nYqcrERkmC4lCN/J7KOPb0pk0I26hoNzDYNrSzor0n0482dRLbs5VpgN2pXia3BOgY6ai4LZFPVgSOAOxKdlEbrMZvFodulvobb2RDj1mx/faOFNX+4hyovamc+6dzAgznk4Q8wbK2TneEHqdyWMuO4d00huroTHUTrtXp7smTVmys/e63PlzDjkTlcxsRBnvXnsh4Km4mZWRIG1nUaLE406saMbv3eS0UL9nd5WEqabXyUm/nSDeKr/gaBXWrFMbj2mbZawfgmgX8aoFo1Ed2c3H5Bj0Wo9DXz/48+eKXzqFUgbSZwXYdgo5LYaj8fOJrbCC7a1fF/ubA2A9LVrIyndTOZHCyGYRpkN60ueJ2uvsJeYvvleu6pAoTN/zbNh16OyvPm+lUYZytKymKYGCcZR86dyVw7UMswCedspL5ymMqVUiTsyrTYSXpeJIFniSdQLR4FWogUNamBgNoVdXHqUfSic5xXIIzZ1S0V513LrZWOfzM63pZ0nxmRfukaDOF99axKNJecduUeBsfbEoxp3p2xW31wVoWN1UOs59d286ekS6GNIHQx+YbWr3bOXdq5fzDudNj9I0uY+BRi0PgdEVH7Dc0uTXSRO9+SzBMF9VMIlpxnwub5rJlaCdnVM+kf0eOqVNCRHMuQb38b2zXcCcLG86o2L/G9ZeupkfSNsp+k8XqgzXEvUHM/p0AFLq34WtfOLaBnSE8q3wZg7hZOYdrTvVMjNH6aSCloUVGlxISAqGVV5ZqMEoi5yMxnCOyuLhUQ66zk+DUKRX3mwvGAGisDhDzRvFrPpKagq++qmy71OYtRBdUHhPe5rFlG/SaGoRa3ndvbS1KNIbj8RI/95yK/e3JTSRGvxDrql4K4ZkImkehfXZlgFvsMIJgoPh31dwWq2ifNa8BRZNX8E5XdcHqiiu4jaE6wrpcOkE6scgCT5JOIHY4TvsffQ09OpqiF4vR/kdfww7Fjm/HpBOaPnkqTbfeUvoCHl20iNiFF487Dch1BZdPupAzaotFoaqo3DH7OlrDbTTfcgvnZGKcEZ9Wuu22WdcyOdTKDRe0MydwLlOixeRBXdG4d96tNHgbmBOfycWTzkWM/u+iSeewqH4ujaE6Ht7zDuaVn0AZDX0RisJZc6pYMrcGAEXAFee0QLCfLy6+l6AnwNt7VvHxuTeyonM1H5t7A36tWBA2BGu5f/JV+Fy19FhLa+cxaccIzRmN69ovRR0twubWzaIpXI9H8XBR5BL8AQ/eZgfruTf40oK7ifmK/Yl6w1w69XzObJjN1Pik0nO7Z9plTPKGS+mU7jNv8nsLiqmpALWBKr4w6VpCVhonlwah4E6ZS09TG95pxSIvt/45YgvmEl+8qPjiKwo1gyb3zbu9VMS2RVq4dcZ1DGwpDutcsWoI/eIvokVqSa15ifgl96CMrquohqtwzv48qz9Ic/XNc+gQ9UQvuIih5Supu/Ri/M3F1EbV7yPyyc/w+KYc918/m6aqAGER5Q/O+SzPJ7bhNMZpuulqhFYcPunoHnxXXENwRvGYELpO2713ozS3lY4bJ15L+9e+ihosXpHz1tYy9Q9/H8sTwHEgfvHFRBcVn7dQVepvvYm1gSSu6xL2BPmDcz5LWFQW4ceK68LSy6bR1Fp8TE1TuOKG2cSqD38ObE1DkPMumYoyGswybWYNZyxsqlgWUjp9tESb+MqST5fOA/XBGn7nrPvQnQPP5ZSk42HCUzQ/KpmiKVMOT3VCgJpN4aRTKKEwdiA8YfP15fF18lJxEYnB4pyxeBW2cvAAC0exSFhJNKESVaK4rkBRBFY6TcK2yGk5vB4NBxPTtqj11WLldQwKmEoGv+ZBVVQGskOEPSGiepQRawTXdYlqMYSjYKsGCSuBi0OukCamB6hWophKALOQwOkZRAhBviZIwSdQHYUgLun8CDFPhLSrkMfB71EpWHniWgjvYBJsl3wugxKPoSkqwrZJ6BEcTVDQileMLMeiYBuE9CAh149Nnv7CCHFvhJqswkhEI2PnyWZThPESFQHcSIhUdgjh0bGMPJrwYaZ9ZHMmVSEPwqOg+fJk82mC+BnOaSg+jWZPHq2QJxkMkXZcakUYkR5A02DYq9FvpNCERgCNaqGjoNOvOBTMAnWahj+dBG8MAz8jTpJhJ0M0GKU2LzCHkiiahhLy43iCJHI6Hp+OP6iSz9i4toW/MIKNi6F7IZ3CHwljZQuYw0P4amtQq6Ko6UGsZBrTsnFqq/B7NEhksFyVtD+Ko3mIkacvZZI2oLo6QsinlQVHCCFQ0wmcbAYlGsPy7DfawDFheAhFuDimha24pKN+VK+fAKFDhlB4nSxuqgeh6jihekzGrl4KAYWcRXqkQCDkOWBAS8U5zIVs2kDTFXwB/bC+P6hWAbe/D8e20OobyVgaju0QCHnGm9UqnUZqa8MMDqZJOymyVo6IJ4zH+WiJyJK010mdoilJ0sG5Llj+MPjDOID8RiEdDhsBsZrD3l5xNKqU4tDfvd+7U3mLHzyzndWbi/O5JjeGWXoxPLL9IRqCtfz+2Z8jJuIIEWBXfhf/+s73yVsFFKHwyTNvZ0n1omIU/ugVjoSZZFtiFw+ue7xsu3N97fT+23+Q2bwFAN+s6Qzcci4LI3EyT/4nulkgo6hEz7mTDqedtQMOt81XeHHkPeZtyZF65GlwHNRgkGm/cz8vJqM8/e4ObrkpRI+5g5FCilVdxQXda4PV3DDjckzH4mdrHkFXdX53yX0URgr88L2HSv26q/USFvdPRcQ0/uXdnzA53I7SO5tXV/QBUBXxcdul7bj5HIGoj+/8ej2W7eDRFD53+wxme7vh1z8ldtvf8Ojj6+ntSnHeXfX8ZOfPyRhZBIIr2y8konq4wFNPjfBhbFlO+v0XSQN6dRP9V97Ht1Y/QN4q8Ltt1zP8s2cpdHQBED/3XBruuZdQrPhl0rZB96mAyoCI8X8fWEXPYJYrFjVzc1UXXd//L1zLQug6U7/0RdLbNtP75HMAeGqqaf+TP8GqbgEgANiuywtrU/zsmQ04LgR9Gv/jk2fRWhPYJ/PJxQpGIRhlvItYtqKj4bLl7/4BY6h4RbLu6quI3nwLtufgJzKfMUDiiW9hDhbnQvpnnE3ggk9iaGGEEPR1jvDYL1ZjmQ6KIrjm1jOYNP0whq4LCISLheJhFXfZEbp/+hMSK1YW+9HWypQ/+AOsaI08FUtA8TgKECKghRj3D0GSTgByiKYkSZKEEPDBjqFScQewszvFwJ4gNYEqejL9PLf9FYQCWTJ8d+VPyFvFwArHdfjJ6ocZsoZK+9qKyQcDG3lswzMV2/Wku0vFHUB+4xbaOw3yrzyIa46GYDg2I8t+xexwmlWbB9iZ1Llcn0Lq4SfZO0bOzmTY/cCvGRkxuPT8ah7f8Sg1gapScQfQnxlkXd8mhrIJ2qsmY9omm4d28Iv3Hy/r1893v0RfqpP+ZB8DuWEme+eWijuAoZE8b63toqY+ynd+vQFrNGjDsBx+8OgWhsNTUfxhNqztoXN3khmLq3ms6wkyRjG10cXlua2voeoBdhSGUAtJMu+/WLp/o30h31n3MHmrQFu4kdjyLaXiDmB42TIK28Zes7E3Dp58awc9g8XHuX5GgK4ffK8U1uSaJju++1/ogbE5QsbAIN0PPYS6z7fTvkSBnzxdLO4AMnmLbz+8hrx5+N9gNdei88EHS8UdQN+zz2Ht2X2QvYrDdHNrXygVdwC5zctx+4rBLUbe4olfrcUa7YvjuDz96AfkMpVhPR9VfvOmUnEHkNu9h6GXX0aR0+4kSTqJyAJPkiRJQlEUNuwcqmjftitPc7g4t+uD/k2YFMiYWZL7JSK6uAwXxpIW804e07HG3W4wVbnsR379ZlT/fkNOXAeRHqC1NshAVsEZqkxyzPf00hISaF4TRQgS+cpttg/txnEdWqKNAPg0byn8Y18jiomTziAQFLKVYSjbOpLYjlsq7vYqGDbDaRNvyyx27CkWjcFaje50b8V9mI5Jt5nGMfJl7blguJTQNyVQj7VhW8W+2R3bS/PBSvdnuby/dez1FJkUrlle+Oy7fELpua7fgCiMJf8Np/IV2/QP58gUKpNMD6iQJ71hQ0WzMTAwzsZjVNegsHNtRbvZU3y++axZttwBgOu4ZA4zEfNwKYogs7WyiB5ZuxbFPvrFpCRJ0rEiCzxJkiQJ23aYO61yyNv0qT72jC6PcGb9HHQ8hPUgcX95YIYQgipfrPRvv+LHo+jjblczum7cvnzzZmPn9oulV1TccC27etPUBV2U6njFfv6WZnaNuJg5Hddl3KTG6dVTUBWVXaNLIeTMfGlJhlK/EEQdD0o4iIuLN1C5nMHMSXEUReDRyj86/V6NqpBOfvcHTJtcHEKZ7jFpHS2M9+VRdZr0MOp+C94H0olS37dkutDmzazYN9jeXjHMUNcEC2eOvZ5OKIqy3+Ldis9XsfB2dP483H36UB2tnEfUWB0g5Dv8mRyuL0Bk/ryKdm9dZZrlvmzFg2/aoop2vaH4fP1BD/795twpiiAUObrBFo7jEpo5q6I9ungRjnZsF2WXJEk6mmSBJ0mSJAEwuy3O0vmNpX/PmhIj0phkKJdgUqyFy6dchOsIfAT48ln3l9aj0xWNzy+6h7g6Fr+vOBrzamdx6+xryrb73KK7qQ82Epk/trRCYOE8NjYq+C67F8VbDO4QmofI0ntZO+znojMbmRQzecHcSuTe20rpj3osRuvdN9NY4+WVZYPcMvV2utN9nN96Vum+WyKNzK5tJ+aLsGN4D37dx5ya6dw17ybC+/Tr/slXUR9poS5aR1Oonm351Vy1tKE0NK+hOsCSOfWMDKb4vY+dgc9TvMLn92p84Y4ZxBObwDaYObeeKdOr2fzeEDc03FBK61SFwg0zL0cYBlN8cSxvlNDC62A09VPfvoEvz72DsCdIV7qPwUWTCEybWnoetZddimdK5RIWuHDtuZOY0lh8nMc+GKH5C19C9RcLNtXvY+rvfgnHKpTW9PM1N9Fw+23Y+3wFqI34+MItc9HU4jaxkJffu3MBHvXwvybYKDTecSe+xtFjSFFovOVm1Ja2g+7nOOA741I8jWPPLzj3YqifXnxtvAo33XUm3tFiU9MVbvzYfPzBo190edtnUHPxRaV/h2ZMJ37RxTI5U5Kkk4pM0TzJyJRD6WB0TJRsPyBwAjWYHNkXIHl8TRzbLS5ADVAd8R7/X9uES9JJYNsCM+fBth0CYYcCGXCgyluN7pSnGmZFhoyVQXEU1KwfXdEgYJK208S9cXTHi6kUSBYyjBgp6kJxwiKC64BmF7AGe7Fci3wsiDdro+UKBCI+XCOJ8ITpdSJkHI3GsMWQnUL1eTGNAtVZQU51SCkmHo+XoBsjNWKh+sANGBQsA4SDZZsEVA9RxUfBsjFMFyXvw4NLkBzpsMKwkSbkaMRFCDsQRcskSQdc+q0kftWHXgiTyoJPV9CwUEImUQUSeQ8Fw6HBSEMuiycWQYmFMXNJRuwAQzmVkN+D4suTMJN4NYWAK4jbKggv2CpJJUuGHBHFh+qEybs6qkiSsNKEgjFijo9CXzdC0/DFqrEHh9F0gfCruP4Yhhi7AmfaLiNGjoIyQkD3UJV2cAaG0IJ+1KoqVKeAMTCMY9loDc0Y3uA4xwAkMibpnElVxEvQo+K6oFNAyfSDomMHarDcyuGr+9IKWezBfhSfDzdWg6McfPu9PG4eJZ/AThuYhosbrUYJhXApXvk18haZtEEgoOMNFIu9fNaikDcJhrxoHoWamuI5rPT3JaA6fGR/X6pjwuAAjm2hVtdi6UcvJVEI8NhpyAyBN4ThjeO6coLfyUJ+RkrHkkzRlCSpgtdMknn9J+S2rgLAP+s8AuffjaFFjnPPpP1lCjY/fXYjy9cX52gtnd/IXVfMIOg5vC/CR5stLJb1reDBDx7HdmzqgzV85ezPEhPVQARUKtLiXBdSZor1HdvJrQ6xc+MwAFPnVOHOGeC9xGq+vPBzLFuZ5KGXtuA4Lq11If7wroXEAzqd7hD/vu0B7p5yF9Vvraf7Vz/HNU081VVM/uQt5PpfZaXnfH72ej9nnVFN06x+3up5g7vm3cSA4uEH7z5E1swR0P3cO+1O1j6WwsjbLLmmCbfGojkH0be/hzXST1bV8Nz817z4ZBd93SmEgCWLamkXHdSGfaQ2bmbXnj1M/srvscOf5YHVj7In2YUQghvazmVpVw/BqhYeFAne6HmfgO7nzxbcR+D11Wx8ohj64m9tZfKnPsFuR+cfnthGKmvi92rcd8UMtr7VjWvDLfcuwIx6QbhsTm/hP5f/lLxVIOQJcuvkO/nVY0Ncv3QqF585hYLI8J+bHmZ1zwd8ddJNaP/2nxQ6uxCqStONV+GL5wmedR15b3F4pqGmeXTHo7zXs45p4RY+bc1m4Ce/Kr2mbffcxbbvFsNX6q6+kuobbsb27VfkuRAL6MRGh0O6LvjMIUae/08KHZsAQWjBlXgX34yhjlMgjrK8AWiaROUg10MchxYMvbqCrkceBcfB19pK9O7PEJzchuZR0b0qsdFhpa4Lu7cO8exvPsAyHUJhL7fcu4CamjAZw+Znz27inQ96ADh3bgP3XjXzsP++bEWH2uJVyCOYgXhYvKk9DD3+T9jpBELzEL/ys9itZ+FwfP72JUk6NR33H40lSfrohBBYu1aVijuA3Ma3cTre3zsqSzpBCCF4d0t/qbgDeHNtNx/sGDpu71Wf0cvP338U2yl+Je/NDPCz9x/GUQ789dZQ8vxk7UP4h6pLxR3A9vVDVI00MZxLsqVziAdf2FwadbGnL82vXtyCqZh8d9VPmR6bjq8nR+KBH5eCQYzBIfY89Cwe1cPCQA9Bn8bKDwbxZFpwcMiYOb63+kGyZjEgJGvm+MnWB5lzQRWmYfP2E3uoVVVCq3+BNVJMBNXr23lnWT993cVfRl0Xlq/qJx1uwhgaJjhlMtndexh4521e2vEGe5Jdo9u5PLHrbfonzyLz5q+5ONhcekytc4iu3zxRSvTM7dlDz9PPYRYEqWzxueQKFv/97EZmntVCaiTP079+H9d2GXGS/PuKH5VSPNNGhkd3PsQl59XwwLMb6R7Ksqb/fd7rWcfCmhl4n3qbQudon2ybzseeBk8D6eWPogoHIQSrR7cHuCE8j/4fPFD2mnY+8htqLjgfXJe+Z57D3FEZ4rI/RYH8By+PFncALunVz8HAoff9MOzOPXQ9/OvSa5rfs4fsS08z2D1S8beRTRk8+ev3S8ma6VSB3/7qfdKpPGu2DpaKO4Bl63pYs23wuJ8LvW6O4Sf/DTudAMC1DIae/i56tu/gO0qSJB0hWeBJ0ilAVQX5LSsr2vPbV6MewRwa6dhTVVFW3O317qa+4/ZeDWQr0zM3Dmwj5+TG2booY2bQVZ3BHZUJjYM7DJojDQwmKm9bvaWfdN6gLzNAg68VhisfO9fZifDX4O//gOa6Yrz/tp0FGkN1eBWtVBjtVbAKWN5im+tC1BFYvTtKt7t1s9m+vXLYS7KgkuvoxDEKeGIxCsJmff/Wiu167BxC8xDMF18PXdWhpzIJdGTDRqqU8rRF03IojBa4A30Z8nmL4UICyykvntNGBm+guG9fIsfK7jUAzPG3kltXmUxpZQwK21ej2VkUFVZ1j6VQ+kYqEzFznZ14a8bWScxs2VKRyLk/1SmQ31p5XjG6Dr3vh2H09lS0Zdevw0gmK/42RhL5ijVCE0NZ0qkCKzdU/n2t2tB7/M+F+RGs5P59c3FSB08ZlSRJOlLym58knQIcx8U7aZz0urbZ2PbpO2f1ROQ4Lme2Vy5IfsbU6uP2XsV90Yq2SbEWvMqBUwoDmp+8VSDeUjnPM97qoSfdTzRcedvMtjgBr0bMF2HQ6INw5WN7a2vBSJKvnk7PYAaAthYv/ZlBLNcpzvXbh6Zo6NZYXzOKQIuPhcUwtJ3m5sohhWGvg6+hHkX3YI6M4LVhaqy1Yrta1Y9rGeS8xblYpm0iaioTPUNTp5ByK9MevaOFRSTmw+vTiHjCKKL849enebELxX2rwj7m1hbTHLfne/FNm1zxWJpfx9MyC1v14TqUtgcohCrfN29tLWZybGkI/+RJh5zPbisevK1zKtr1ukPv+2Ho1ZV/F75p7ejhUMXfxngJmqGIl0DAw7xx0mDnTTt+f18l3iBqKFbRrAQrjyVJkqSPQhZ4knQKcBwXT/s56HWTS22epulokxZykuUonfIcx+XsOfVMbRqbGzmjLcaC9prj9l7V+xq4tv3S0r+DeoBPzf8Y2j6hKvvzEeDuubfg1I9Q2zRWPNU2hzBqi0M2Z7RUccWSsYIpEvRw79Uz8eHli4s/yXv9q7CaI4Svv7m0jeLz0XbXDRSSnWx2JzOSMZjaHMJbPUjWyqMpGvfPvx11tEBShcLHp97G5reSIGDR5Y10mnkKZ38S4SnO17J2r2Hp0lqC4bGiYPbMGMFEB57qGvJ9fWihENVLzuXK9ouI+sbem/Pr51LftRPf/Et4M9dTekyjOV4c8jhKj8VovOFaTBW00YJOUQT3Xjadbau70D0q198xD1UTxNU4n17w8VKRpykat0y5nZfeGuKacyfRXBPg7MaFtEWbWTbwAe6tl6OFxxYqr734fDC6iZz/MSxXw3FcloxuD/BSfgux264ve02bbruZgddfByC2eBHe9hkHfG/3chyBf8E1aLGxZQ580xYh6g+974ehtU6i+pKLS//Wo1GCV91EVWOs4m8jGPFwyTUzYPRCoqYrXH/HPCIxP2fNqmNa89gPB9OaoyyeWXfcz4WGGiJ+7e8itL1/V4LoxfdgBeuPa78kSTr1yBTNk4xMcJIOxuNkEaniECA30lCWsnc4juT4EgJ0O4MopHC9YUw1uP9SW9JBGLZD73AeIaA25serHr0hb0KBVNbCsB2iQc9hxTc4isWgUSyianxVhET4kO+nEDDiJjHyFk5KQ1M11LDNiNVPnSdMUI2Sdz30JwvkDYtJjVEUx8ZRLYatIQzHJKD5EQUX7+AIajaHNxrA0k1EoI7dPSZC1whWCwbMHqLeCJZtE9ZDuLbJQGGYgCdAxI6TSph4Qjp520VxBX5dEPOksZN96IEqhKFhCB/JjIPq2oRFFl11UTQNO19AjVeRCwbIOBksYTGUGyakegkJDcV1iNk+spkMpk8Hj0bOMYjqQTzdw5ipFHpdLcmYF9U2MPM+BtIQ82nEfDp2JoPmGGjxOLbHj2nYmJZJ3pNmxBgh7ImSTXrRVZWaiBd1dLKYoxQg04ciBJrjx+obQPNqFEJxUngJhYJo+xw2hpKnP9ePEAqNehXqwDB2MoG3OkYiomHlC4TyIKIxFP3Q7+9eXjuNm+pFKBpOuB5THL1Uyf2ploHT34uZySLiNSjxKsQ+w0E1I4uTGkEJhrD9IXJZi5GciaarVEc91FQXz2EF26FvOAdCUB/zHdFyD/vSrALuSALh8+OEoh/5+4cQ4C0M4aQGEIEwlr8WW+bdHTUOMJI1UYQgGtCO+meS/A4mHUtHM0VTFngnGXlykY6lwz2+hBB4E9sYeurfsFNDaJFa4tf/LoXIZFnkHWe267JsQx8/e2YjBcNmfnsNn7lhDpEjWLD6w1KwUTtXk3jhBziFLJ76qUSv+R3y3uIVoNraMFv6d7JpaBsPffBbcmaeqfE2bpl9Nf/y1veZVTON++d/jDCx0n0OOn18d9VP6Ur1EvaG+PzCe5gWmsrm1FZ+8N4vSBsZ2qsmc+fk+/iPX62jZyhLPOzlixfW0+y1CDU3MPjrhxh44y2EqlJ3+aVYqTR6PIZr2/Q+9wIANUvPx3f1RTyUXEnUF0FXNPqzg3zQt5k/rL8a80ePYmcy6F/7FP/d/RL92SHi/iifmXs3TlrjVx2/pjPVTcgT5LNn3Irvu49BJkvj9dey51cPY6VSRBYtRLnhPp76zQZyGZOauiDXf2w+gVDllVLdyWJ98AIj7zwOjk1gzlI8597Fip0FfvDEB+QKFjMnxfjizfNKqZf7yhsW7N6CG8rzZHITr3S9h0Bw2eTz0DWdhfXzaPG2HferWodLCBDdu9nx7X+n0NuLpyrOpC9/iSe7PTz22nYQgqvPaePjV87EMY5O9qU23MfO736X7LbtqMEgkz//WbQzzsQVMvHyRJQu2Dz44hbeXNuFpgpuu6SdyxY1f+jifjzyO5h0LB3NAk8O0ZQk6Yh5jCEGHv2/2KliQIY10s/gY/+Ixxo5xJ7SsdY5mOUHj39AwSgmYq7dOsATb+woDWU7ljyZHoae/DZOIQuA0budkZd+hE4xPGQ4l6QvO8BPVj9MziwGgWwf3s3TW17h/Laz2DCwlce3PAdKsegwlQLfWfkTukavSqcKaf71ne/Ta/by/5b/gLRRnJ83NTyDb/18LT1DxccdThX4l+c7SSVSpJe9zcDrb4Lr4loWvc8+T3DqFLRAgN5nnismNjoOA6+/gbtmIxc2LmR5x3sgYEXnGm6oOxvjP3+J0deP/8Yr+E7Hs/SPhtIM55L8+3s/pE/rpDPVDRTDUv7f6gfg6vOou+wSdvzwx1ip4ge2Ou8cHvnl++QyxddjoC/Dk79aizvOj5aibysjbz8CjgW4ZNe/QUdvkn97eA25QrGA2bQrwc+e27R/1giKIsh2dOLN9PB+oZeXO9/FdV0c1+GFHW8S9Yb595U/Ju2ePH+vajbFtn/8Zwq9xWPBGBpm2//9J2rdLI5bHPr89Nu7WLWx96ikZaq2wZ7v/4Dstu0A2JkM2771/xD9lUEw0vGnKIK31nXz5tpi2qxlu/zqxS3s6Ekf555J0vEhCzxJko6Ymx7ENcoTFp1cGjddmYgoTayu/kxF29vruskZzjhbH112RUIgFPasRzWKBc5IPjVuYueG/i3MqZ0OwIquNeTdYqE2YqboTpdHyNuuQ1+mv+zKU8CtYmi/5MiCaUMkxvDbyyr7mc2S2bGzon3k/Q+IO16mxNvYMJqmWWvopXCSbFWAkUL5r6t5q0DOLn9s13VJ+Fwc0yxF/gNkhb+imBvoy5DLlidvKoqgsHtdRf/2Bs7s692NfWSN8hXnTNsl092DFvKzIrmrYp/Ngzuo9scYKgxX3HaishPDmIlEWZtTKBCzyr/Av7Gm66ikZYpMitSmTRXtRp9c0uBEZDoub6zpqmhfv2PwmCS+StKJThZ4kiQdMcUfLk702peqIXwHHzIgHXvxSOX8qCmNUbz6sT/dK4HKREwtWoerF/vk032EvZVplvXBGvqzxWUH2iJN6KIYhuLXfAQ9gYrt9w1BAXBVA+9+i1gLARQKBNunVfbT48HX0FDR7m9tJa9Y9GUGaIkUb897BEIvDoH0F9yKBE8hBF61MtExaKsoevnQSZ9SufS3P6Dj2a/vruui17VVbBsNVg7lbKkL4dHK31tNBU88hlMwaA/UVe4TaWQ4lySsnzx/r0owiOLZ7/kLgbHf8TF7cvXRmcbh9eOpqUzj1CORcTaWjjdVwPTWWEV7a334tJ7WI52+ZIEnSdIRM/y1xC67r6wtfvmnMX2VX4ikidVWF2LRrLEv9X6vxr3XzJyQk70TaSY4/7KxBlUjftXnMZTil/D6UA31gRrObl5Q2kRXND4+7yae3vwyXtXDvfNuQ3WKRVSQMJ9beDdinzF3N828ikZfY1nq59u9r/GZm2aVDc37+Dn16Olhqq+8Ej0WK7UH2lpxCgVUvw9f09hSCp6aakLnn8W6zG50VaM12kTcF+XJ4XeJfOI2EALzqVe5p+UyxD7jXe+YfgNV1JRSPQGumbQUz5trSa77gNpLLym1W+++wblLx1JFhSK49ra56N7yotF1QW0+A71uythLGYwxuTnGxQuax/qsKXz+5rno+12hcB0IT2olV9A4O9RMrX8shr8hWItX83DjjCuIqjFOFk60ikmf/yz7vsnN99zD271jV0gbqoNccGbTUflCb/sCTPmdLyK0sfem9orLURqbD7KXdNy4cP15k4nuM5+1vSXGrDa5BIV0epIhKycZOcFXOpaO5PhSsdEyPbjpIUS4GitQj31YeY3SsWbYDj1DOfKGTUN1gKj/IGlyikvaHcHBIaSEUOzKwA4ASzHIO3l8iq9s+QQhBGp2BGwLNxRFuCZqqhs3n0aJ1mP4a9CyGdx8Bn8sRkr1krGH6c4PkLcKNIRqEa5CxswR84WoSrsIB+xQFTYChMuwPcRAbpCIJ0yNpwbV1bGEyYDZT6KQpCZQRZVaw1DCYmAwRcTjUu0xEVUhVDWAlk5id3WhuC5abTXDioFX9xJIm1hDw7iui6+xgUR1iM5UD1F/hJyRw6PppI0sIcVPQ8rFSaUxmqrIag6ZfAa/7iVi+UnlNQq+LCPOCHF/hFolhtrdh5VO4W9owMxmMJIJfPUN2NE6RpIG2YxBNOYjEPaM+95YSgHDzhDMZ9EzaUSskYIWxXRc+oYzpLMmNXE/8ZDvgMW7mc/jSfeT9zv02CnQdLzeMCoq1VoNinty/b0K10YZ7MMYGECPx6G2noyt0DVYHNLbVB2krSl61D4jBS7q8ABGXy9qKIRS34itHXhtyBORJiw0I4Wjek6LpON0waJ7MIumKjRWB/BpR/enLfkdTDqWZIqmLPCOdzekU5Q8vk4vWdI8tf0FXt21DL/m47oZlzK3bha1Sn3pi6AQ0G/18t9rHmRXooO2aDOfWXAXdVo9wrYw3n+P3T/6CVYmQ81FF1J3y61Yo4s5q2Yee+c2Bl59laHlKwnPnknszpt5PbuZrYU+ZtW288zWV8iZec5vXcyVvpkk//47OKZJ/dVXUHXNdVj+8YfEpUjy4Ibf8F73OuL+KLfMuprpsal4hY+XO97gma2voCoqN824ilQhxTPbXuET829jy+AOlneuJuwNce/cm5i2axvWO79F8QaIXvoJaD0LCw0hYKA3QzqZZ/2aLtovCdLtdPLk5pfImjmWti2hOhDjqc0vcdOMK1nadC4ed7/hscJle3Y7P1z9IEO5BAsbzuDjc24uSwndnxDQbXbx3+/9ks5UD+3xSdx/5seoUmoB8FtDbOlM8V8vdNPRn2VmW4zP3TSX6nGSOE9H8hw2xmcMknr95+S3rUINVxG/8nOYtbNwXDl468OSx5d0LMkUTUmSJOkjEQLe7HqHl3e+heM6ZMwsD33wJJsGt5HaJ10xR4Z/fud77Ep0ALA72ck/L/svsmRwu/ew/dv/XkyJdBwGXnmVoReeZ++IQbtzN8PLlzO0bDk4DtVLlrA+u4ffdLzB/IbZ/Hr9U2SMLI7r8MbuFaxIb0OLRnAti54nnyG9fFnZ8My9XMXmV6PFHRTTLH+0+iE2J7bx/tAH/HbzC1iORcEq8ND6J4j6w0yNt7F1aCfvdL6Hi8tIIcV3Vj3AUCwOroOTTzP89HdRE8VQkmzKYMfmAV5/fiv1c7z0uT08uO4J0kYGx3V4fdc7ZIwsVf4YD294is3JrRX9HLQG+Odl/8VQLgHAez0f8Iv1j+GOMxdvr7Sb4h/f/i6dqWJa49bhXXx7xQ8xRB4dk+6du/jmI7vo6C9etdq0O8E//fxdDPv0/eFTqqQJi9TrD5DftgoAOzXEwKP/iJ6pDEKSJOnUIws8SZKk05AhCry+a3lF+2B2mIQxVuAN5RMk8+Vx+iOFFIP5IfK7dlfsP/Dqqyi5DKqqYA0MMLzy3dJtaiDA8vxOArqf4XyyYt83h9ejL55X+nf/K6+j2mbFdlknw7vd5SmTruti2Cav7XqnYvudiQ7Obl7Au93vV9zWK8qLLat/B0LA8GAWn08nNZLH8udJFCqXFFjRuYYz6mYA8HbHKrT9hoP1Zfsr1plb07OejHPg6PaB3GBpCYnS/WQGGDYSKIUk/Rm3tEzCXj1DWYZThQPep3T60YwU+W3vlje6Dk6i+/h0SJKkCSULPEmSpNOQhkZTuDJhMegJ4FPGhvsFdH/FVTQhBEE9gLZPeMle/qZm8HhwHBfF78dXP/YYjmnSqldRsAoE9cp0zCZfDW7PwNh9tbXgqpXzxHThocpf+diqUGiLNlW0Vwfi9Gb6qQvWVNwW2m/eqBKqwnXB59cRojgURrVVArq/Yt+GUC2D2QQAbdHmiukDgXGeY8wXQRcHHk453uuiKRp+zQeal6Cn8oqmrin4vCfXfDrp2HJUL2q4qqJdJh1L0ulBFniSJEmnIeGo3Db7OjzqWKhKc7iBxlA9VfrYF8OoGuPOOTeU7Xv7rOuIqXG8k6eULUMgNI3me+7GUnRc18XT0kbdFZeVlhnI7t7NEr2VgCdA3irQEhlLsdRVnRurFpF5by0Aqt9Pw/XXY7uVBY0XH59a8LGywvOMuhnU+Ku5fPKFZUVStT9OQPfzxq4VXD7tAlRlrBCaWTWF+sH+sT7UT0GpKT6faFWAXMZgydLJDGy0iWoRWvcpHnVVZ+mkJazpXU/UG+acpkUVBV6jv4GzGs8ce32E4NMLPo6PymJxryq9ihumX17Wds/cm4mqMQwtQnNdlBuX1Jbd/qnrZhELyDl40hhTDRC/4rNly9n42s+CWMtx7JUkSRNFhqycZOQEX+lYOi2PL8fFdlx0j3ranVuEEAw7A3SkuxAI6oI1xNUqNLe8WLCFSV+hj8H8MHFfhAZ/I4qrUnDzBPMW1p5O7Hwevbkep6YOYY9Fy2u5Edz+PgoD/ejhMHpTM4N2ii5jiHCkioyVx3IsWoK16BaIRAqtfxhfcytWrG7c1D9XM8m5OUzHZPdIF7qiUusv9l1VVEwnhWEWKCgOquJlODVC0kpQP5rY2Z3qI+Dx0+KPEyzkcUa60TQfavVk0pqGBwev5WAqfhKFLI7t4rds7JDDsJPFsW1Cuo+MZZIxcjSFGggxGgajOOTdPF7hQTgahsjTneshbWaoD9RRo9XAOEUrgCJAyaUxPIJua5hEPkGNv5oaTy2qW3xNhWJiZxJ0DbsMZR3qqsPUxgKo48xV/LA0YSEck7Sto6nqYd236tqIfBY8Pix1/CTWiXCszmFCEeQMG00RaCfJwtmKcNAzPTiJnuKVu1hLackS6cM5LT8jpQlzNENWtIPeKkmSdArr707z0pMbSacKLDynlflnNaN5Tp+hbq7rEhPVxML7rF84TkGl4UEIwbPbXqFzpIezWxYwp3Y6P3zvV8ysmsadc2/gmS0vs3Ltw0yKtnDP3Fup1xtwXYopmG0RtLZ2akY/vMLEmUkbQkDS6cYcHuTljtd4tW81Vb4on5h3K5MCtZV9ES69Vjevb1/O2x2riPui3DP/Fqb6p4ErSLsjWIMDbEru5jedb4DrcvP0K2itamGePhcxmh7YFAiQePlFup55Dj0aofW+T2JMn86GkS005DL4VzxLqm8PnvZFZOecjdidJK+rvKjuYUX/elpD9dzVcg5tqSzqlLMxKC7ePuIO88iGp1jTs55p8UncNfcWatU6Jvkmw96AzQP8hqBlRxh68QX6n3sePR6j7b77aG2fg4NS2mfQ6efB93/DlqEdzK2bxR2zricqKheO/yj8hV66e4d5ZE2eFZuTTGoM86nr5tAY91fMJyz1PTlAz8MPk1j1LsH2abR84l6c+pZTJpI/Y9i8tKqDZ5btIh72cv/1c2hvDHOil3mOq1AINEGgctiyJEmnNnkF7yQjfz2SjqXT6fhKDef52X+9U/aF+9yLp7J4adtpfY4ZT9Id5huv/SPmPoEnc+tmoioKXtXLUC7B1qGdpdt8mpe/vOiPCRMtu5/9j6+EM4i1aTNv0slz3WOBL0IIvnHh16jV6sv2TzDIc9tf5dWdy8q3vehr1Og1rO9YiVsw+M6OJ8r2++yCj9ESaaFOa0AISD3zW7oeerhsm8l/+adscHYz7aVHcI1cqd3TNINCZCEPRPawbmgsKdOj6vx/LRdTK7w40y7BFAX+eeV3S2mjACFPkG9c8DUChA/6+ioCkk88SvdjvxlrFIJZf/V/cBqKC6PnRIa/euOfSRbGXr+mUD1fP/d38Ti+/e/yQ/E4GUaW/5Z/3zGND3aNhcr4PCrf/NJSov7K34Q1q8Cu//v3ZLZtL7WpwQAz/+ZvsEITv8j00T6HCUXw27d38euXx957IeCvv3gejbEDD7WVTk2n02ekNPHkMgmSJEkf0UBfuuJqyurlezCNA0fYn656Mn1lxR3Aur5NtFdNpjXaWFbcAeStAn3ZAQ4lY2UQpsVr/WvK2l3XpSvTU7F92szwTsd7Fdt2pLpIO2mihsKyTOVyBSu73yc5mgyq5jP0P/d85X1v306dLcqKOwCjazP2rNay4g7AsE36NEFm9fNoGAwbw2XFHUDayNCXO/TroOTS9D3/Qnmj65LfPZZS2p8bLCvuALrSvQwXEoe8/8Ml0v0kA81lxR1A3rDpHcqMu48zPFhW3AHYmSxm76kRx58zbJ57Z1dZm+vC7p4DJ6FKkiQdb7LAkyTptOT1V84TikS9qOqJPvBq4vn1yitEAd1PwTawXacsqGUvn+o95P0qQkUIhbivcjFzv1b5mJpQifuiFe0B3YcuNEzFpV6tvFpW569GE6NDbzUdT011xTZaOIypVH4kCs2DZrrj9seHghqtwxUqXtVbFuBS2mac/SofXMdTVZl4qAbHhl/6tcrXUxEKXvXohasI3Y/uFPCOM0zZ5x1/RofwehFa5W2K/9S4uqWrCtXRyucSHOdqpiRJ0olCFniSJJ2WautD1NSNDXEQAi65dlbxP6QyDb565tfNKmu7dvolvLV7FW/vXsXNs64uu21J0wLqfOVJj+Op8lRhxAJ8rP6CskTM1kgjLcHmiu1jWpxrp19atm1LpJHWUCsBEULE45wVn1lWkPo1HzNrp1HnL/bHUj203HMP7FPM+ZoaCba3s6YwiJi2oOwxA+ffRv6Z17mz6cKy9jOrp1Hd20H47JuxHIWoEuWO2deXbXNh2znUeCqXZtifpXlpu/+T5X1qacE7eXLp39V6NZdPuaBsv5tnXkVUO3rDIM1ADdV+h09cWD409pw59TTGxw/ncKPVtNx9V1lb9YUXoNQ2HLV+HU+qgE9eO4t9c1Va6kJMbqj8UUKSJOlEIefgnWTk+O+PTlEEmpPDFTqme/oEahyO0+34Mgs2g31pCnmL6roQoeihrzqdioQAQxhoaAhn/N/98mTpyHYxUkhRH6pFFYKuVC9VvjgNwXoG84P0ZvqJeqO0BJvwupVXPfYeX0IITFFAFSqGa8DQAMPk6DaGCfpCtEQnEXDHim9HtXBdF83VyYsM3ble+jIDhDxBJoXbCLrFq3aOsMnmBygYWbpyA6Aq1IXriAWrUCwNr/AV1+fDRfR3k9uzC9Xvx9s6GSsUY8RNYOUGqUqnUHMpRKyBXbogklfwpgr0RwT9bpqI6qUVL2FPhEKgoRQmYgmTnnw3fdkB4r4YzYEmPO7hzY9TcHBHBsilE3gKLp7aBqxQFCHAtV1QBAZ5UoUhzEIWAgFq9JqKxNODvs8UhxcKUXzTx/v419w8dmqQPSmV7pRLLOKntTaMTz/wuVK1DOyuPRi9vehVcbSWSdjew09rFAJUswCKgqWUXw0WgOMWz9uH83XlmJzDBPQl8uzuSxPwarTVhwl5VVAcTEw8eHGdo/uQ0onpdPuMlCaWTNGUpA/JY6ewNr1NcvULqNFaIuffSSE6CfcAseXSqU33qjS0Vg75O51kRZq3u1bw+q53aAzVc+usa6nXGyu+TPsI0B5oh32+tzfER6+yOdDsCdDsKQaCHCgpEqBAlnf71/L8tteI+6LcOvs6WuItNLiC0jWf0f0dYbMjs4NHNj5NwTa4/8w7eL9vI8s63mVKrI2bZlxFiHDp4RRXJeStJ+QFQkFe2v4GpiZ4eNOz9GcGuGTy+ZzTsBghBKvcnbxovkmVFuU2bw1NIkpUxOjzFvj+rjfpSHZzvnYWS5vPJhgIQxU0U/z/Xvn9nqvm6rR422jxth3yddhXKm/Rmevi1Y5X6Mx0cm7zIi4ONeG3HXZtHWL56zuJVfm4ckkI67FHKHR3U3PZZfjOX4p1mOvfJQdzvP7CFlLJArPmN+DzabRMjhPZLx3TEj6INNMSgcNdMc3WPNA2DU9bcQ3BI5nFqpp58mtX0/P44yg+H0133oE6dQaOojHUl+GNF7aSHV2PcMqMahTtOAw8cqEu6qMuWizWhYB+q4/fbHiG3ckuzmtZzIUt5xI8RJiOJEnSRJFX8E4y8tejD09RwF3zBCNv/3qfRo3ae/6KfKDxwDueRuTxdZpRXB7b/lue3/56qcmj6nzjoj8iJirnhH1UtbVhHvngGX65biwtUhEKf3HRV6lV6yu27zT28LdvfBuAefWzEAjW9m4o3R7UA/zFhV8bW4NuVE5J89dvfIur2i/i0fXPYDpW6bbbZ1+PEPDw+idLbapQ+IuLvoZH8fC/X/8n8lahdNuFk87mrum3g3NsfgQyHZcV23fwaPePyZpjAS9Lms7k2tj1PPKjYgDNDZfWUvjxt3AMo7RNw/XXE7vtDpxD/ECVGSnws+++U/bZueSCyWzb2MfNdy/AFzw+69YJAebqlWz/9r+Vtc/8xl8wEmqqSLm96qY5tJ9Rd9AreRNxDku5Sf73G/9EzsyX2s5tWcQnZn3sgFfApVOD/IyUjiWZoilJH4Jupkmteqq80bGwhzrG30GSTnFZN81LO94sazNsk+70sUlATORHeGbry2VtjuuwK1n5N6goglXda0v/nlE9tay4A8iYWXqzfRX7dmd7SeRHsB2nrLgDyFhZntn6Slmb7Tp0pLrozvSWFXcAb+xeQdopT5U8mgZG8mRFoqy4A1jRtYb+zFDp3/7cUFlxB9D77LOomUN/Gejvrvxh9IP3upgyvZbB/vHTMSeC6tr0Pv10RXvy3XcZHCfldvkbO3Hs4z8WsifbV1bcAbzT8R4p+9gdJ5IkSUdCFnjSacNVVBRf5aLAQjt6KXSSdDJRUPGNk5A5Xirm0aApGiG98m/QN05CpOtCxDs25M12bfRx+qUrlW17+6+Iyo84x7EJ6pXzAz2q54BpoIo4dnN1PZqKMs5sCY+qo+3Tf1et3EYNBHDHSf7cn+4dJxXTr1MoWGjHY8jjKFco6JHKsBItEkHTK/sVCOoI5fgPpx/vOPGoOuoxPE4kSZKOhCzwpNOGqfiJXfKJsjYtWouobjtOPZKk4ysggtx9xs1lbS2RRpqCx2bIcsgT4GNzbyxrq/LFmBRurdjWdV3OrJtTWp7gnY7VXDG1PEVyZvVUGvx1Ffs2eBs4s342WTNLfag8zXN61RTunndLWVu1P05buIXGQANTYuV9ufOMGwiJYze3Kh7Siao1TIlMKmu/bfZ1NFfXl0Jd+50Insby96X1k5/A9h+6b7UNIcKR8kJ+4TmtDPSmqa6rLLgniu0KGm66qSw9VA0ECJ85n9rGCIHgPj++CbjwiunHoZeVGvz1tFdNKWu7fc71hBU5B0+SpBODnIN3kpHjvz8aFRt9ZDdG5yaUUBytYTp5/ejPNTpZyePr9GMLi658F1uHd1DtjzMtOpkghx8BLwSguAgEziHSNWprw/QNJOkxetg8tI2wJ8T0+FTCREv35SoOmtDAsnBVlQFzgC3D2/GqHqbFp5AoJNg8uJ36UC1Tw5PwUzkPQQiwyNKR7SbnGAjXxbVsosEqGvz1YIvRPmwn6g0zLTqFuDeOYluknQKbk9vozw4yLTaJlmALCgrCUQ8rxVEIQHURbvH1UBVQhIPlKOy/e/HimUvacBnMJ+jJd6CqDo3hBqr0Kjx4SCUKdOwcxuNVmVavYOzahjEwSGjGDERzG85hXm0t5Cy6O5KkRwrU1AZRVEG8JoB+gPXtJorARfR2ktm4EcXrJThzJnZVHa4LhaxF154EhZxJ06Q4kfihE0kn6hyWJc2O1C560/1Mi0+m2d90RImm0slJfkZKx9LRnIMnC7yTjDy5HB1CUPFlS5LH1+lMHCA2/2AKIse6oQ28svMtmsINXDnlImq1ugP+be17fO3/N5giyZsdy2m1/DRu6ie3ci3huWdQdeml9Klhnl++hy0dCS5c0MSSmXUExlmMG0A1suQ/eJ/+Z5/D19pC3aWX0vfSy+T27MGzdDF9U6uob5xKrdYAuLhAur+f3LvvYqxchm/qVGqvugK3uolhZ5BXdr3FlqHtnNeymEV1ZxIYp6DcKy+yrB34gNd2v8PMqqncWj2bwnsvYCV6CJ55JaJ5PqYaQMHBk9xBasVvcY0cocXXYdRPZ2u2g6e3voxX9XBt+6W0+FoRrlLxWn2U89feK4In2vnvYM/pSJ7vRJ/DPszfjXTykp+R0rEkl0mQpI9Ifh5LUrkj/ZKqKPBW1/JSGuX24d2s6FrDNy78KtHDSODc9+EMJc9/rPgRzZ44c1/uZWDtBwBkduwgW9PM379nk0wXA0a2dybp7EtzzxXTK0I4FEWQWf4Ou3/0YwDiixex6e/+ATubLd7ftu1UXX8FP25byWcX3ktMqaJ/JIX51JOkX3uluM32HSSXr2DqX/1//NOa7zGUTwCwM9HB7tYu7p55+7hJiUKBV3a/wRObXwDg5tozSPzqm7hWsd9G9zZil34CZeaVeJJ76H/wr9n7BArdW+m78w/5l5U/Kd3f2t4N/NmFv0+T3lxxvvoo568T9dx3sH6dqH2GI/+7kSRJmghyDp4kSZJ0xLJuplTM7FWwCnSmu4/4vgbyg+xOdrJAayI7Wtzt1S+CpeJur5dW7iGZLU/HBFByabof+01Z297ibq/0c6+yNDKDznQ3iiIw+4ZIv/Fa2TbWyAi5PXtKxd1eb+1ZyYidHPc5ZNw0T4+mcwoEdbl8qbjba2TZb/A4WfLb32Xf6lRvnc0zO98q29bFZWXXapQTIFREkiRJOrnIAk+SJEk6YkIoeJRxkh3FkQ8MUUfTIl0hxsYQjlLGWS1cURTGrXsUBUXXy/5dsYmmYbkO6t7bVIFQK4d7jtemCIFygI9NBYE++nq4uDjjJHgKTQehoOyf3GuZ476W46WLSpIkSdKhyAJPkiRJOmI+N8Cdc8oTMeO+KM2hI0/grPZWc2b9HN7MbSV08Xllt9WRobWufK7BrZdMI+KvDBexPX6a776r9G8nn8dTU122TfCWq1mW2UZLqBnHcfHW1RK6+rqybbzNTfhb25gUbS5rv3b6ZUTU6LjPISBC3DFn7H46vCpKoDysJnrh3RTw4pmysGx5FrNzC9dPuwjBWNWqKxoLG+ad1nPOJUmSpA9HhqycZOQEX+loUNXibzv2fosGy+Pr+NM0BcdxT4rznCUMdmf38F7POuqDNcyrnUNUxA+4/XjHl6YV0yVT9gibE1vxZAwm9VsU1m8mNH06gdlzGdaCrN0+yO6eES5Z1EJLbQjHssedm6XYBs6eXeR27UTx+wlNmcLIxo1kOztQ585gsDFETVULVVqx8HMch5HEMPa2bRgfrCMwpY3ImWfihKvJiBTrBzexY3gP8+tnMzU8GY974CRHSzEZMPpZ2bWG2kA1S0PNODs/wB7pxzdtMXbVVCxRLOx82S4K21eBbeOfdR75QA2d+V5Wda/Bo3pY2DCXOq3+hJ5/diKS5zDpWJLHl3QsyRTNk+CLz7EiTy7SR6HgQtduBl55Bdc0qbn0UkTrZJzRBXrl8XX8OJZD154kG9Z0U98cYcYZ9fgCx2bB8aNNVQWOc+jAiX2PL8WxcPfsZODll1F8XqovvgS3sRVFVbFtB1VVcBynVOA4ism29C7e2PUOQT3M4vqFNATqCarlwx0N8mxNbeftjpW0Rpo5u2khcaWqNJfNcV26C128tnsZtutwUds5NHmb0RQNTRMYRnGtB2+2m/zGN7EzCYJnXIIVbcFSDlzcZQybNdsGeXdjL/Pba1g4o5awV0MIgaKAbVe+NlpuhOzatSRWrSI8dy7hRYtwIsWAmtP5c+6jkOcw6ViSx5d0LMkC7zT+4JMnF+mjULp3sfEb/xucsSt3M/+//4U7qR2Qx9fxoiiCNe908MaLW0ttobCXuz531nFfp+xoKju+dmxm89/87diNisKs//O/cRoqFz0XAtYlP+A/Vv641OZRdT4z+/PMq59cyisRAl7teYMHP3i8tF3EG+bPl/4BodG1/brNLv7mjX8tK0b/9IKv0OIZe1xfoZ+BX/wFrpErtVVd80WsSeePW8TawPce/4Dl63tLbTMnxfnqxxfgOUBIimqb9Pz39xh+Z3mpLdg+jUlf+2Msj3/cfaRDk+cw6ViSx5d0LB3NAk/OwZOk04SqCobeequsuAPoffppVFUm9R1PhZzFsle3l7WlUwWG+rMH2OPkpinQ++ST5Y2OQ2LFinFTIy3F5Debny1rM2yTjvRuBrL5UluWDI9tKt9upJAqJXuqqsJbe1ZUFGkv7Hi97G/A7t9ZVtwBJN98CI8z/vsxOJIvK+4ANu0apj+RG3d7AHeov6y4A8hs3Ybd13PAfSRJkiTpcMgCT5JOJ+Nd/HZdZHl3fAkO8NZMdEcm0niDR1ynsg2KL8R4mwNi/xsOMSjFHeeOXNeBw/orOMB9H8U36pR+zyVJkqQJIQs8STpN2LZL1fnnV0TH1193LdY484OkiaP7NM69aEpZWzDkobo2eJx6dGxZDtRff315o6IQW3L2uEPwNVfnpplXlbXpqk5LqI3q4NhwxqAIVmwX9gRLyZ627bC0dUlZWiXAFVMuKgscUmsmITzl8+0i592OoYz/flRHvCyeVVfWNr01Rm30wEMtlapa4kvOKmsLTpuKVlt/wH0kSZIk6XDIOXgnGTn+W/ooFNcphqy8+CKOaVF7xeWItikyZOUEYFsOXbsTfPBeFw3NUWbNa8AXPDlCVvZSFIHruge8iFYesmLj7tlO//MvoHh91Fx+GW5TGy4CVRW4bnnQiCVMtqd38uqutwlpYc5uPItGfz2B0eUG9g7tzLk5tiS38uaeFbRFmziv+SxiYmypBFc4dBvdvLLrTWzH5tLJF9Dia0FBKT2eEODNdJHb8Dr2cDeBeZfh1M3AEr4DPs9Mwea9rQOs2NDDwum1LJ5ZR9h38PmTWiZJZs1qhlesIHrmfMKLz8IKV1VsJ4RAiAMHr5QCZE7jz8a9TvRzmKqKcQN3pJPDiX58SSe3UyJk5Vvf+haqqvKVr3zliPaTBZ48uUgfnaoqCAGWJZdJONFomorjOCfVeU6xDZzdO0mufg9PVTWhM8/EjtVWbHewZRJs2yFLio2JLWwb2kVbtJnmcCP13jp0d2zBb69XQ1EU8nkD1y0WY/1WH2v61mPaJgvqz6DB04imqgddbkJVFRQFnO5ORlavxsnliCxaCE2TcEcXKVdVgRCi9HeiuQXUwe3kd65Gizeitc6l4Kkp3acQAlVVsG3nkImiY/uAOpocuv8+QsCQPci6gQ0k8ikW1p9Bk68ZxVVLtyt9nYy8+x6OaRJdvBgaWsZdZP10caKew7RsivyWjaQ3bSY0cya+6TOxAuHj3S3pCJ2ox5d0ajiaBd6Ex7OlUim++c1v8uSTT/K5z31uoh9ekiQq17+TThyWZR/vLhwRIcBY/z7b//XbpTb98ceZ/o1vYEWqD7Jn0d7iyRQF/nvtL9nQv6V023mti5lfP5sFsfmlbKBCwSrbv9/q469f/xamU2z/7ZYX+NOlX6HZ03LQx7VtB3p72PSNv8QpFADofvwJZvz5n8Hk6aPbjE3+UxQB21Yw8Pz3S/ehhmuI3/G/KOgxoLhMxJG+f6574Pc84QzzzTe/TcYshrs8s/Vl/vDczzE9MKPYp95ONn7jL3FNs9T/mX/xv6Bl6hH1QTq2NNug++cPMLxsGQB9zz1P1Xnn0nD/Z7A0zyH2liRJOnIT/jPfiy++yOTJk/n0pz890Q8tSZIkHWWqkaPz578sazOTIxR27Tqi++kvDJQVdwDL9rzLcC5B2k2Pu4+iCN7tWVsq7qBYZD2z7WUU9eCPJ4Qg9f7aUnE3ujM9jz2GRuUPILqZIvn6L8ra7NQA7tCeQzyzD297YmepuNvr1+ufwlZNFEWQWL68VNwB4Dj0PSVTcU80zkBfqbjba+jtZThD/cepR5Ikneom/AreLbfcAsC3v/3tg294AIe6JHk6qK2VwzqkY0ceX9KRMIZM7H2LpFHCdcY9lg50fPWMszqAO/o/j1elNjz+foWdRkVb3soTjfrR1IN/xGWMyn7buRyRiA/V6y1rN5N5XMus2F4R4z/Po8Eerryyl7cLBIIeIt4Qw/l8xe1OLkcs6kdRD1HhnsJOtHPYyMD4BbeuQOQE66t0aCfa8SWdWo7W8XXMCrynn36ab37zm2VtU6dO5Uc/+tFHul85B0+O/5aOHXl8SUdKUTw03nwTe376s7E2jwe9uaXiWDrY8RXXqqgL1tCXGSi1zappJ6gH0A3fAfdb3DifZ7a+UtZ21bRLGB468Bp0e4Xmnwm/frRsbciGG29kaMQAygtHRfERPut6RpY9WmoTHh9Em47Z38zkSBuqomI7Y4XejTOuwEhB/0iK+Lnn0PtM+bp/dddew+DQqbl+4uE4Ec9hWqSKwJTJZHfsLLUFpk3FjladcH2VDu5EPL6kU8cpEbKy9wqeDFk5MvLkIh1L8viSoDiv7kg+GdR8ltz7q+l/7nm8DXXUXX89bmNbxX0c7PgSApLuMC/vepMNA1uZXdPOvPpZNPob8bvBsj7t+9+ucNiT38OTW17AsE2ubb+UaaGpqO6hE0gV18Hds4Oexx/HzmSov+EG9JmzcTTvuNt77DT2zlVk338JraaV4OLrKASajui1OpSy11649BjdPLntRRK5JFdOvYjZsZnorhchQNg2zu5t9D35FI7jUHfVlWjTZuKcxvO6TtRzmDYyyPBrr5J8bzXRhQuIX3QJVqQyMVU6sZ2ox5d0apAFnizwjnc3pFOUPL5Ob6Yw6Mx1sivZQUOwlrZQK34Oby0+IUB1bVyhYLvjD0kb7/gyRJ49mU46Ul00heqZFG7Do+gIIcBSsTHpLvSwa6SDds900j0OtuHQ2BojHPOWiiFFdUnmLTZsT2DZDtNbY9RFvIdVfKnCQbhgHca0dCFAVxy03BBGbz+ZnXsQqgf/rFk41Y2HnZ5Z0Qcs9JEOjJ4tqIEoSn07Bb1YAAi1OFRVOAoGBTpzXaPvUR0znTjWth1YIyn806cjGltKy54cCSEEmZEC3XsSIARNrVECYW/p+QghyKYKdO1J4rouTa0xghHvh36++z6uN9uN2bMFXAe9ccZo0fzh7vdEPocpCiiWhaNp+140lk4iJ/LxJZ38TuoUTUmSJOkEJFze7F7GQ+t/W2qaVzeLz867B931HWTHItcFC3Vv6ORhcRWH53a+zNNbXy61nd96FnfNvBXV0RECNo5s4t9X/Jj7pt7DU49vIpctzoMTiuDuzy4hWl1cTLw3YfCN7y0jbxSHM+qawv/5/LnURw/dd9s9/Lwx1wUl3Ud26ya2fucBHKM4lFPxepn5l9/Arm067PvaSwhQe9bT/5t/LrVpsTpit/4ZBT2GawtAgHB5o+ttHt7wFACfarmCHf/9X5gDg6X9pv+PP0FMn3PEfUgn8/z8v5aXUk11j8rdn1tCMOIt3f6L76/AHH19NU3h7s+fTSg6/tXOw+XNdDDw4P/BNYvzIYXmoebjf0E+ePAU1JOR44CjaIyT4SNJknRUHbfFcr7yla8c8dU7SZIk6dhIOUke3fhMWdv7fRvpzR+7pL+ENVwxf+6tPSsZKBTn4RVElp+9/ygB3Q8D/lJxB+A6Lm+/sh0hBIoiWLaup1TcAZiWw3PLd6OqR/djTlEEVs9mht7dWCruAJxCgeE33ywtOn4kdCdH8pWflrVZiT7cwfIk0qST5NFNxTl3AkHzsFtW3AF0PPAAmlUZHnMwqqqwdmVn2bqYpmGzYW0PilJ8fdev6SkVd1Bc3uL9VZ0f6fVVFEF+w5ul4g7AtQxy61456u+bJEnS6USeQSVJkiQs18ZyrIp2w6lMqTxaDMfEHeeSn+EUCznbtckYWbyaByNbedkjkyqA6yKEYDBZmSg5lMzDUV4xQAiBa+QxRyqXbjCHhj5UgSccGztXeX+uWf6cLMcqBa4oQqAUKlM9rVQK7Mr38aCPLyA1Uvn6pZL5UoGXPsDt4iO8vooisNJDFe12avAj3a8kSdLpThZ4kiRJEhEtyry6mWVtQU+Aen/dMXvMak+cSbHyoXg1/ipqfTUABESQK6ZeyHAuSbil8uPqrPMngSguWn7hgsqhkVed04ZtHd3xcLbtoNVOoXrJ3Irbqi66qOwq2OEy9RDhxdeUNyoqanVrWVNMj3FGbXGRc9t1SNWFixO79lF/3XU4/iNbTsiyHM5cUjkkcu6iZizLwbIc5i6sfH3PPLvlQz3ffR83cMZFFe2B+Zd9pPuVJEk63R23kJUPS4asyAm+0rEjj6/TW5okL+56gxWdq5kab+PmmddQo9YetZTI8Y6vETfBszteZk3PembVTOP66VcSF9Wl23Okeat7BdsG9nBJ+FLef60fI29zzkVTmNxehaIVCxzbcdm4J8FDL23Fsh1uv7SduZOr0I/Bot8qJtrATtKbd9Dz7CsgBM133I42a+6HTrD02CmszW+SXvMCWqSGyNKPUYhNwd0vsKb4Hr3Ois41LG6Yy83aLHoe/DXm0DB1V19F6JzzsI+wwANwHJeunQneenkbQgiWXjaNxrYoYu8VSdela1eSN1/ahuu6nH/ZNJomxT7UFct9aZiI7nWk3noYXJfwebfjNs3FEh9ubp88h0nHkjy+pGPplEjR/LBkgSdPLtKxI48vSShQcPPowoNwju4gjwMeX4qL4RbwCC84lQWDEGCIAprQELaK67goqlKRtCgEWI6L6wp09ciWevgwdGGiWga20LDUw0vsPBhFEWh2FlfRMd0DZ6AJ4VKggEd4wFHQHAssE8cXKPt8VC0Dp7sDo68PLRZDa2nD9gYOcr/g2m4xz0URFc9HiOLcR1wQauXtH5YQoLkFBGCKj/Y6ynOYdCzJ40s6lmSKpiRJknRMuA548B1RGuZH5oiDPqbrgu6OXdEpFh+VG7suqELAEa7j92GZro6pjq63dxQez3FcDOE/5H25bvnrZSkaeDTYp7hTBGTefp3dPx4Lb6m55GJq77oH+wDr/Lnu6I6M//q5LsVq7Ci/vq4LJqN9On1/v5UkSTpq5Bw8SZIkSTrFiOQge37+y7K2gVdexenrPU49kiRJkiaKLPAkSZIk6RTjFgq4ZmXKppPLHofeSJIkSRNJFniSJEmSdIpR4tUEpk4pa1ODAfT6huPUI0mSJGmiyAJPkiRJkk4xluZl8pe/TPzsJQhNIzRjOjP+7E+xw7Hj3TVJkiTpGJMhK5IkSdJpyxImfYVeEvkRagPV1Og1CFc9rH0zpOjKdCMQNAUbCBA+xr09MlaslobP/w6N+Syux4uteo55iInluPQmcgyO5KmN+amL+orBN5IkSdKEkQWeJEmSdFqyhckzu17g6a0vl9o+t+geFsUXHDIlMuEO8Q9v/TvJQjHSusoX44/P+xJRET+WXT5itlDBPzGFpwO89F4nv3x+c6nt0zfM4cJ5DTIdU5IkaQLJIZqSJEnSaWnQHCwr7gB+uuZhUm7yoPspiuDtzhWl4g5gKJ9gVc+aj7zw98lsKFXgwRc2l7X99OkNJDKVYS+SJEnSsSMLPEmSJOm0lDErEyULtkHeKhx0P1VV2D68p6J9V7LjtC7wMnmz4sqnZbtk8tbx6ZAkSdJpShZ4kiRJ0mmpxl+FZ+9C5aMaQ3VE9ehB97Msmwtal1S0n928EMtyjmofTybVER9Bf/nrWRXxURUef2F1SZIk6diQBZ4kSZJ0WgoT44/P+x3qgzUAtMcn8btLPoXuHrwgcV2YFZ/BzTOvQlc0dFXn9tnX0R6ZNhHdPmGFfRp/dt9ZtNSFAJjSGOFPPrEYvy6/akiSJE0k4bqHmkp+YhkcTOM4J1WXj6ra2jD9/alDbyhJH4I8vqRj6aMeX5Yw6Cv0k7Ny1AVqiIg4R+MjzFQK5O08ATWA6uiH3mGUUCDtpBAIgkoI9/S9eFfGdFxyBZuAV0Ob4NpOnsOkY0keX9KxdLjHl6IIqqtDB91GpmhKkiRJJ7yCyPPrzY/z5p6VAHhVD3+y9Ms0aE0f+b51x4suvMUYyCPgOhAcXRpBFndjdEWg++XXC0mSpONFjpuQJEmSTnjd2e5ScQfFMJSfrH0YW5EJjZIkSZK0L1ngSZIkSSe8kULlsJXdyU4M1zgOvZEkSZKkE5cs8CRJkqQTXu1oEMq+FjXMwyf8x6E3kiRJknTikgWeJEmSdMKr89Tx6QUfx6t6AJgWn8Qds29AOPJjTJIkSZL2JWdBS5IkSSc81dVYUr2YWRdPx3AMolq0lHjpCJtha4iMmaXGV0VQhCsW3JakE5GGhZrtwy1kEeE6DD0ij11Jkj4yWeBJkiRJJwXXhRCR4tiT0dRKS5i80vk6j218FheXoB7ga+d94aika0rSsaQ5eazVTzC88kkAlECE6tv+B/lA83HumSRJJzs5tkWSJEk6afUV+nh04zO4FC97ZMwsP3jvF1hK4Tj3TJIOTknuITVa3AE42RGSL/0YHRkcJEnSRyMLPEmSJOmklSgkK9q6Ur3k7Pxx6I0kHT43PVzRZnRtQZHHriRJH5Es8CRJkqSTVrUvXtE2OdZCQA0ch95I0uFTIpXJsN62M3A0mQwrSdJHIws8SZIk6aRV46nlk/NvR1VUAKr8MT6z4K5SAIsknajsSAvRC+8CUfwqpkXriV7ySUxXHruSJH00MmRFkiRJmnAeJ4PIDILux/RX47gf7vdG1dU4t/ZsZl88g5yZI+6N4XXl1TvpxGcJD+qcq6mZshjMHARryCny2JUk6aOTBZ4kSZI0ofy5bgZ/80/YIwOgaMQuvhtt+kVYfMgrF64gKuJEPXGQEfPSScR2BbavFnzHuyeSJJ1K5BBNSZIkacLoGCRe+EGxuANwLBIv/xQ11XV8OyZJkiRJpwhZ4EmSJEkTRjUzGN1bK9qdkf7j0BtJkiRJOvXIAk+SJEmaMI4WQK9tq2hXQtXHoTeSJEmSdOqRBZ4kSZI0YQzhJXbl51B8wVJb+NxbsSNNx7FXkiRJknTqkCErkiRJ0oQqhNuo+cQ3iymaqooVbMBwPce7W5IkSZJ0SpAFniRJkjShNCtN9r0nSb/3PLguwbkX4zv7Ngwtcry7JkmSJEknPTlEU5IkSZpY3RtIv/ssuA7gkln3Cvbu1QhxvDsmSZIkSSc/WeBJkiRJE0bTFHLbVlW05za+iarICk+SJEmSPipZ4EmSJEkTxrZdPI3tFe2eljk4cpFySZIkSfrIZIEnSZIkTRjXdfFMXoRe3VJq06K1+GYuxZEVniRJkiR9ZDJkRZIkSZpQeU8VkVv/JyS6wHURsSbyavh4d0uSJEmSTgmywJMkSZImnKGEoGrG8e6GJEmSJJ1y5BBNSZIkSZIkSZKkU4Qs8CRJkiRJkiRJkk4RssCTJEmSJEmSJEk6RcgCT5IkSZIkSZIk6RQhCzxJkiTplCIEaGYOLZ9Grp0uSZIknW5kiqYkSZJ0ylAcC2vTenb+5KeYqRQN115D9NLLsAOR4901SZIkSZoQssCTJEmSThludwdb/+mfS//uevQxFJ+P0JXXyoXUJUmSpNOCHKIpSZIknRKEgOzWLRXtfc8/j5LPHoceSZIkSdLEkwWeJEmSdEpwXdCi0Yp2b20t6Ppx6JEkSZIkTTxZ4EmSJEmnDP+06XgbG0r/FqpK88c/hiXkjARJkiTp9DDhn3irVq3im9/8JqZpEovF+Nu//Vuam5snuhuSJEnSKcgKx5n2P/8nhV27cI0C3uZWnNqGQ+8oSZIkSaeICS/wvv71r/Mf//EfzJo1i4cffpi//uu/5jvf+c5Ed0OSJEk6RVnBGOqcGAD28e2KJEmSJE24CR2iaRgGf/AHf8CsWbMAmDlzJt3d3RPZBUmSJEmSJEmSpFPWhBZ4Ho+Hm2++GQDHcfi3f/s3rrjiionsgiRJkiRJkiRJ0ilLuK57TBYGevrpp/nmN79Z1jZ16lR+9KMfYRgG//N//k+SySTf/e530WW6mSRJkiRJkiRJ0kd2zAq8A8lkMnzpS18iFovxj//4j3g8niPaf3AwfVovVltbG6a/P3W8uyGdouTxJR1L8viSjjV5jEnHkjy+pGPpcI8vRRFUV4cOvs3R6tTh+vrXv86kSZP41re+dcTFnSRJkiRJkiRJknRgE5qiuX79el588UXa29u59dZbAairq+N73/veRHZDkiRJkiRJkiTplDShBd6cOXPYtGnTRD6kJEmSJEmSJEnSaWPCh2hKkiRJkiRJkiRJx4Ys8CRJkiRJkiRJkk4RssCTJEmSJEmSJEk6RcgCT5IkSZIkSZIk6RQhCzxJkiRJkiRJkqRThCzwJEmSJEmSJEmSThETukzC0aAo4nh34biTr4F0LMnjSzqW5PElHWvyGJOOJXl8ScfS4Rxfh7ONcF3XPRodkiRJkiRJkiRJko4vOURTkiRJkiRJkiTpFCELPEmSJEmSJEmSpFOELPAkSZIkSZIkSZJOEbLAkyRJkiRJkiRJOkXIAk+SJEmSJEmSJOkUIQs8SZIkSZIkSZKkU4Qs8CRJkiRJkiRJkk4RssCTJEmSJEmSJEk6RcgCT5IkSZIkSZIk6RQhC7wT0Le+9S2+/e1vl/49MjLCF77wBa699lruvfde+vv7ATAMg69//etce+213HrrrWzbtg0A13X5+7//e6655hquu+46Vq1adVyeh3TievTRR7ngggu4+eabufnmm/mXf/kX4MiPNUk6XE888QTXXXcdV111FQ888MDx7o50kvrkJz/J9ddfXzp3rVmzhrfeeosbb7yRq666qnQuA9iwYQO33XYbV199NX/+53+OZVnHsefSiSydTnPDDTfQ0dEBcMTHVFdXF/feey/XXHMNX/rSl8hkMsfleUgnpv2Prz/90z/l/2/v/mOqqv84jj+vXLQIl7lxgdSb0pxbt1KDUsvBrJCZXKcMNnLrF0tbbv1Y0gb0axl6F2uuKP9w2cYUGpoGdB2KWkO38hcbirUyG2rknZBCCnRh98fn+4fzJol56YsB19fjL8773g/n82Gvfe7e59wd5s+fH9rHdu/eDQxyvowMGxcvXjSFhYXm/vvvN6WlpaH6u+++a9avX2+MMaaqqsq88sorxhhjNmzYYN566y1jjDGHDh0yOTk5xhhjduzYYZYtW2YCgYBpbm426enpxufz/beLkWFt1apVxu12X1UfaNZEwnH27Fkzb94809HRYbq7u43T6TQnTpwY6mnJCBMMBs3cuXP7fJ55vV6TlpZmfv31V+Pz+UxeXp6pr683xhizcOFC09jYaIwxprCw0FRUVAzFtGWYO3LkiMnMzDQOh8O0tLT8q0wtX77cbN++3RhjzCeffGJKSkqGZC0y/Pw9X8YYk5mZaVpbW69672DmS3fwhpGvv/6ayZMn89xzz/Wp19fX43Q6AcjMzGTfvn34fD7q6+tZtGgRAA8++CDt7e14PB727t3LE088wahRo5gyZQqJiYk0Njb+5+uR4evYsWNUVVXhdDrJz8/nwoULwMCzJhKO7777jtmzZzNu3DhiYmLIyMhg586dQz0tGWGam5sByMvLY9GiRZSXl9PU1MRdd93FpEmTsFqtOJ1Odu7cyZkzZ+jp6WHGjBkAZGVlKXPSry1btvDOO+9gs9kABpwpn8/H4cOHycjI6FMXgavz5fV68Xg8FBUV4XQ6KS0tJRgMDnq+1OANI4sXL2b58uVERUX1qbe1tREXFweA1WolNjaW9vb2PnWAuLg4zp49S1tbWyhIV9ZFLouLi2PFihV89dVXJCYmsmrVKmDgWRMJx9/zY7PZaG1tHcIZyUh08eJF5syZw7p16ygrK6OyshKPx9Nvtvrbs5Q56c/q1atJSUkJHV9rv7pWpjo6OoiNjcVqtfapi8DV+Tp37hyzZ89mzZo1bNmyhYaGBrZu3Tro+bIO/lLkenbs2IHL5epTS0pKoqysLKzxxhhGjRqFMQaLxXJVPRgM9luXm084WXv++edJT0/vd/z1siYSjv72pCuPRcIxc+ZMZs6cGTrOzs6mtLSU5OTkUO1ytpQ5+beulZ1r1fvLlrIm1zJp0iTWrVsXOn7qqaeorq7m7rvvHtR8qcEbAgsWLGDBggVhv99ms3Hu3DkSEhLw+/10d3czbtw44uPjaWtrw263A5euCthsNhISEmhrawuNv1yXm09/Wevs7KSsrIxnn30WuLSJXL5rPNCsiYQjISGBhoaG0PHvv/+u/MiANTQ04PP5mDNnDnBp75owYULoYVDwV7YSEhL61LVnSbj+np3rZWr8+PF0dnYSCASIiorS/ib/6Pjx45w6dSr0lUtjDFarddDzpUvwI0BaWhrV1dUA1NbWkpKSQnR0NGlpadTU1ACXPvjGjBnDnXfeSWpqKm63m0AgwOnTpzl16hT33XffEK5AhpOYmBg2bNjA0aNHASgvLw/dwRto1kTC8fDDD7N//37a29vxer3s2rWL1NTUoZ6WjDCdnZ2UlJTQ29tLV1cXVVVVvPbaa5w8eZLTp08TCATYvn07qampTJgwgTFjxoSeIl1TU6PMSVimT58+oExFR0eTkpJCbW0tANXV1cqaXJMxhjVr1nDhwgV8Ph+bN28mPT190PNlMcaYG7oSGbDL/yLhpZdeAuCPP/6goKCAlpYWxo4dywcffMDEiRPp7e3l7bff5vvvv2f06NEUFxfjcDgwxlBSUsK+ffuAS49jnTt37pCtR4afhoYGVq9eTU9PD5MnT6akpISxY8cOOGsi4XK73axfvx6fz0d2djbLli0b6inJCPThhx9SV1dHMBhk6dKlPPPMM+zfvx+Xy0Vvby9paWkUFhZisVj46aefePPNN+nq6sLhcOByuRg9evRQL0GGqUcffZSNGzcyceLEAWfqzJkzFBQUcP78eRITE1m7di233377UC9JhpEr81VRUUFFRQV+v5/58+eTn58PMKj5UoMnIiIiIiISIfQVTRERERERkQihBk9ERERERCRCqMETERERERGJEGrwREREREREIoQaPBERERERkQihBk9ERERERCRCqMETEZGbWkFBAZ999tkN+/2ZmZkcPHiQ1tZWcnNzAejq6iI3N5eFCxdSV1fHiy++SEZGBuXl5TdsHiIicnOwDvUEREREbgbx8fFUVlYC8OOPP3L+/Hl2796Nx+MhPz+fI0eOEBUVNcSzFBGRkU4NnoiIRJSVK1ficDjIy8sD4PPPP+fAgQPYbDaOHj1Kd3c3xhiKi4tJTk7uM7ahoYGSkhK8Xi/R0dG8+uqrpKam8uWXX7J161a8Xi+xsbFs2rTpmuf/5ZdfKCoqwuv1kpSUxJ9//gnAb7/9htPpZNu2bRQVFdHa2srjjz9OMBjE7/eTlZXFxx9/jN1uv3F/HBERiXj6iqaIiESUnJwcqqqqQsdVVVVMmzaNtrY2Nm/eTG1tLUuWLOHTTz/tM66jo4OXX36ZN954A7fbzfvvv8/rr79OS0sLcKlx27Rp0z82dwD5+fnk5OTgdrt5+umn8Xg8fV5PSkqiuLgYu93Onj172LhxI7fccgs1NTVq7kRE5P+mO3giIhJRZs2aRW9vL8eOHePWW2+lvb2dFStWcPLkSSorK2lpaeHgwYPcdtttfcY1NTVht9uZPn06AFOnTuWBBx7g0KFDWCwWpk2bRmxs7D+eu6Ojg+PHj7N48WIAkpOTmTp16g1Zp4iISH90B09ERCKKxWIhOzubmpoatm3bRnZ2Nnv37uWFF14A4LHHHuPJJ5+8alwgEMBisfSpGWPw+/0AxMTEhD0HY0zoZ6tV11JFROS/owZPREQizpIlS/jmm2+oq6sjKyuLb7/9lnnz5rF06VLuvfde9uzZQyAQ6DNmxowZNDc309TUBMCJEyc4fPgwDz30UNjnveOOO3A4HHzxxRcA/PDDD/z888+DtzAREZHr0GVFERGJOHFxcdxzzz34/X7i4+PJzc1l5cqVOJ1O/H4/jzzyCLt27SIYDIbGjB8/no8++oj33nuPnp4eLBYLLpeLKVOm0NjYGPa5165dS2FhIZWVldjtdpKSkm7EEkVERPplMVd+j0RERERERERGLN3BExERGYADBw7gcrn6fW3WrFkUFRX9xzMSERH5i+7giYiIiIiIRAg9ZEVERERERCRCqMETERERERGJEGrwREREREREIoQaPBERERERkQihBk9ERERERCRC/A8az1DzncnL4QAAAABJRU5ErkJggg==\n",
      "text/plain": [
       "<Figure size 1080x540 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "sns.set_theme(style=\"darkgrid\")\n",
    "\n",
    "fig, ax = plt.subplots(figsize = (15,7.5))\n",
    "\n",
    "sns.scatterplot(data=tabela_despesas_ideb, x=\"valor_diff\", y=\"ideb_diff\", hue=\"regiao\")"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "grateful-hungarian",
   "metadata": {},
   "source": [
    "## Piores colocados por diferença de Ideb (2013 - 2019)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 31,
   "id": "great-fruit",
   "metadata": {
    "scrolled": false
   },
   "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>municipio</th>\n",
       "      <th>sigla_uf</th>\n",
       "      <th>regiao</th>\n",
       "      <th>ideb_diff</th>\n",
       "      <th>valor_diff</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>Coronel Pacheco</td>\n",
       "      <td>MG</td>\n",
       "      <td>Sudeste</td>\n",
       "      <td>-1.1</td>\n",
       "      <td>-71.48</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>Novo Horizonte</td>\n",
       "      <td>SC</td>\n",
       "      <td>Sul</td>\n",
       "      <td>-1.1</td>\n",
       "      <td>284.99</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>Bossoroca</td>\n",
       "      <td>RS</td>\n",
       "      <td>Sul</td>\n",
       "      <td>-1.1</td>\n",
       "      <td>175.95</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>Riachão</td>\n",
       "      <td>PB</td>\n",
       "      <td>Nordeste</td>\n",
       "      <td>-1.1</td>\n",
       "      <td>172.89</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>Envira</td>\n",
       "      <td>AM</td>\n",
       "      <td>Norte</td>\n",
       "      <td>-1.1</td>\n",
       "      <td>84.19</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>Antônio Cardoso</td>\n",
       "      <td>BA</td>\n",
       "      <td>Nordeste</td>\n",
       "      <td>-1.1</td>\n",
       "      <td>240.92</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>Barra do Chapéu</td>\n",
       "      <td>SP</td>\n",
       "      <td>Sudeste</td>\n",
       "      <td>-1.1</td>\n",
       "      <td>50.40</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>Cássia dos Coqueiros</td>\n",
       "      <td>SP</td>\n",
       "      <td>Sudeste</td>\n",
       "      <td>-1.1</td>\n",
       "      <td>273.18</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>Brejo Santo</td>\n",
       "      <td>CE</td>\n",
       "      <td>Nordeste</td>\n",
       "      <td>-1.1</td>\n",
       "      <td>445.24</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>Colinas do Sul</td>\n",
       "      <td>GO</td>\n",
       "      <td>Centro-Oeste</td>\n",
       "      <td>-1.1</td>\n",
       "      <td>346.67</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>Esmeralda</td>\n",
       "      <td>RS</td>\n",
       "      <td>Sul</td>\n",
       "      <td>-1.2</td>\n",
       "      <td>309.24</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11</th>\n",
       "      <td>São Miguel do Anta</td>\n",
       "      <td>MG</td>\n",
       "      <td>Sudeste</td>\n",
       "      <td>-1.3</td>\n",
       "      <td>128.13</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12</th>\n",
       "      <td>Coronel Murta</td>\n",
       "      <td>MG</td>\n",
       "      <td>Sudeste</td>\n",
       "      <td>-1.3</td>\n",
       "      <td>175.95</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>13</th>\n",
       "      <td>Juarina</td>\n",
       "      <td>TO</td>\n",
       "      <td>Norte</td>\n",
       "      <td>-1.3</td>\n",
       "      <td>404.07</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>14</th>\n",
       "      <td>Malacacheta</td>\n",
       "      <td>MG</td>\n",
       "      <td>Sudeste</td>\n",
       "      <td>-1.4</td>\n",
       "      <td>58.65</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15</th>\n",
       "      <td>Lagoa de Velhos</td>\n",
       "      <td>RN</td>\n",
       "      <td>Nordeste</td>\n",
       "      <td>-1.5</td>\n",
       "      <td>652.84</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16</th>\n",
       "      <td>Santana do Deserto</td>\n",
       "      <td>MG</td>\n",
       "      <td>Sudeste</td>\n",
       "      <td>-1.5</td>\n",
       "      <td>78.53</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>17</th>\n",
       "      <td>Itaú</td>\n",
       "      <td>RN</td>\n",
       "      <td>Nordeste</td>\n",
       "      <td>-1.6</td>\n",
       "      <td>14.19</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>18</th>\n",
       "      <td>Tupanatinga</td>\n",
       "      <td>PE</td>\n",
       "      <td>Nordeste</td>\n",
       "      <td>-1.7</td>\n",
       "      <td>15.25</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>19</th>\n",
       "      <td>Ibiraiaras</td>\n",
       "      <td>RS</td>\n",
       "      <td>Sul</td>\n",
       "      <td>-1.9</td>\n",
       "      <td>91.18</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "               municipio sigla_uf        regiao  ideb_diff  valor_diff\n",
       "0        Coronel Pacheco       MG       Sudeste       -1.1      -71.48\n",
       "1         Novo Horizonte       SC           Sul       -1.1      284.99\n",
       "2              Bossoroca       RS           Sul       -1.1      175.95\n",
       "3                Riachão       PB      Nordeste       -1.1      172.89\n",
       "4                 Envira       AM         Norte       -1.1       84.19\n",
       "5        Antônio Cardoso       BA      Nordeste       -1.1      240.92\n",
       "6        Barra do Chapéu       SP       Sudeste       -1.1       50.40\n",
       "7   Cássia dos Coqueiros       SP       Sudeste       -1.1      273.18\n",
       "8            Brejo Santo       CE      Nordeste       -1.1      445.24\n",
       "9         Colinas do Sul       GO  Centro-Oeste       -1.1      346.67\n",
       "10             Esmeralda       RS           Sul       -1.2      309.24\n",
       "11    São Miguel do Anta       MG       Sudeste       -1.3      128.13\n",
       "12         Coronel Murta       MG       Sudeste       -1.3      175.95\n",
       "13               Juarina       TO         Norte       -1.3      404.07\n",
       "14           Malacacheta       MG       Sudeste       -1.4       58.65\n",
       "15       Lagoa de Velhos       RN      Nordeste       -1.5      652.84\n",
       "16    Santana do Deserto       MG       Sudeste       -1.5       78.53\n",
       "17                  Itaú       RN      Nordeste       -1.6       14.19\n",
       "18           Tupanatinga       PE      Nordeste       -1.7       15.25\n",
       "19            Ibiraiaras       RS           Sul       -1.9       91.18"
      ]
     },
     "execution_count": 31,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "tabela_despesas_ideb.dropna().sort_values(by=\"ideb_diff\", ascending=False)[-20:][[\"municipio\", \n",
    "                                                                                  \"sigla_uf\", \n",
    "                                                                                  \"regiao\", \n",
    "                                                                                  \"ideb_diff\", \n",
    "                                                                                  \"valor_diff\"]].reset_index(drop=True)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "compatible-summer",
   "metadata": {},
   "source": [
    "## Melhores colocados por diferença de Ideb (2013 - 2019)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 32,
   "id": "further-specialist",
   "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>municipio</th>\n",
       "      <th>sigla_uf</th>\n",
       "      <th>regiao</th>\n",
       "      <th>ideb_diff</th>\n",
       "      <th>valor_diff</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>Santana do Mundaú</td>\n",
       "      <td>AL</td>\n",
       "      <td>Nordeste</td>\n",
       "      <td>4.2</td>\n",
       "      <td>-116.22</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>Salvador do Sul</td>\n",
       "      <td>RS</td>\n",
       "      <td>Sul</td>\n",
       "      <td>4.2</td>\n",
       "      <td>145.15</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>Itatira</td>\n",
       "      <td>CE</td>\n",
       "      <td>Nordeste</td>\n",
       "      <td>3.9</td>\n",
       "      <td>468.88</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>Coruripe</td>\n",
       "      <td>AL</td>\n",
       "      <td>Nordeste</td>\n",
       "      <td>3.8</td>\n",
       "      <td>170.72</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>Maravilha</td>\n",
       "      <td>AL</td>\n",
       "      <td>Nordeste</td>\n",
       "      <td>3.8</td>\n",
       "      <td>331.95</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>Machados</td>\n",
       "      <td>PE</td>\n",
       "      <td>Nordeste</td>\n",
       "      <td>3.8</td>\n",
       "      <td>100.42</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>Bom Jesus</td>\n",
       "      <td>PI</td>\n",
       "      <td>Nordeste</td>\n",
       "      <td>3.7</td>\n",
       "      <td>246.74</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>Uruoca</td>\n",
       "      <td>CE</td>\n",
       "      <td>Nordeste</td>\n",
       "      <td>3.6</td>\n",
       "      <td>84.14</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>Oeiras</td>\n",
       "      <td>PI</td>\n",
       "      <td>Nordeste</td>\n",
       "      <td>3.4</td>\n",
       "      <td>194.99</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>Milhã</td>\n",
       "      <td>CE</td>\n",
       "      <td>Nordeste</td>\n",
       "      <td>3.4</td>\n",
       "      <td>637.87</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>Catunda</td>\n",
       "      <td>CE</td>\n",
       "      <td>Nordeste</td>\n",
       "      <td>3.4</td>\n",
       "      <td>224.78</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11</th>\n",
       "      <td>Janiópolis</td>\n",
       "      <td>PR</td>\n",
       "      <td>Sul</td>\n",
       "      <td>3.3</td>\n",
       "      <td>-122.41</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12</th>\n",
       "      <td>São Domingos do Cariri</td>\n",
       "      <td>PB</td>\n",
       "      <td>Nordeste</td>\n",
       "      <td>3.3</td>\n",
       "      <td>177.22</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>13</th>\n",
       "      <td>Ararendá</td>\n",
       "      <td>CE</td>\n",
       "      <td>Nordeste</td>\n",
       "      <td>3.2</td>\n",
       "      <td>381.51</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>14</th>\n",
       "      <td>Taquaruçu do Sul</td>\n",
       "      <td>RS</td>\n",
       "      <td>Sul</td>\n",
       "      <td>3.2</td>\n",
       "      <td>24.66</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15</th>\n",
       "      <td>Mucambo</td>\n",
       "      <td>CE</td>\n",
       "      <td>Nordeste</td>\n",
       "      <td>3.2</td>\n",
       "      <td>35.62</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16</th>\n",
       "      <td>Pugmil</td>\n",
       "      <td>TO</td>\n",
       "      <td>Norte</td>\n",
       "      <td>3.2</td>\n",
       "      <td>205.09</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>17</th>\n",
       "      <td>Deputado Irapuan Pinheiro</td>\n",
       "      <td>CE</td>\n",
       "      <td>Nordeste</td>\n",
       "      <td>3.0</td>\n",
       "      <td>136.23</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>18</th>\n",
       "      <td>Porteirinha</td>\n",
       "      <td>MG</td>\n",
       "      <td>Sudeste</td>\n",
       "      <td>3.0</td>\n",
       "      <td>-79.44</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>19</th>\n",
       "      <td>Orobó</td>\n",
       "      <td>PE</td>\n",
       "      <td>Nordeste</td>\n",
       "      <td>3.0</td>\n",
       "      <td>206.54</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                    municipio sigla_uf    regiao  ideb_diff  valor_diff\n",
       "0           Santana do Mundaú       AL  Nordeste        4.2     -116.22\n",
       "1             Salvador do Sul       RS       Sul        4.2      145.15\n",
       "2                     Itatira       CE  Nordeste        3.9      468.88\n",
       "3                    Coruripe       AL  Nordeste        3.8      170.72\n",
       "4                   Maravilha       AL  Nordeste        3.8      331.95\n",
       "5                    Machados       PE  Nordeste        3.8      100.42\n",
       "6                   Bom Jesus       PI  Nordeste        3.7      246.74\n",
       "7                      Uruoca       CE  Nordeste        3.6       84.14\n",
       "8                      Oeiras       PI  Nordeste        3.4      194.99\n",
       "9                       Milhã       CE  Nordeste        3.4      637.87\n",
       "10                    Catunda       CE  Nordeste        3.4      224.78\n",
       "11                 Janiópolis       PR       Sul        3.3     -122.41\n",
       "12     São Domingos do Cariri       PB  Nordeste        3.3      177.22\n",
       "13                   Ararendá       CE  Nordeste        3.2      381.51\n",
       "14           Taquaruçu do Sul       RS       Sul        3.2       24.66\n",
       "15                    Mucambo       CE  Nordeste        3.2       35.62\n",
       "16                     Pugmil       TO     Norte        3.2      205.09\n",
       "17  Deputado Irapuan Pinheiro       CE  Nordeste        3.0      136.23\n",
       "18                Porteirinha       MG   Sudeste        3.0      -79.44\n",
       "19                      Orobó       PE  Nordeste        3.0      206.54"
      ]
     },
     "execution_count": 32,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "tabela_despesas_ideb.dropna().sort_values(by=\"ideb_diff\", ascending=False)[:20][[\"municipio\", \n",
    "                                                                                  \"sigla_uf\", \n",
    "                                                                                  \"regiao\", \n",
    "                                                                                  \"ideb_diff\", \n",
    "                                                                                  \"valor_diff\"]].reset_index(drop=True)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "employed-ratio",
   "metadata": {},
   "source": [
    "# Análise interativa dos dados de IDH"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "eleven-tribune",
   "metadata": {},
   "source": [
    "## IDHMe interativo por região"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 33,
   "id": "awful-decrease",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "76a2536ee5f84eba982e96414d8d4b07",
       "version_major": 2,
       "version_minor": 0
      },
      "text/plain": [
       "interactive(children=(Dropdown(description='regiao', options=('Norte', 'Nordeste', 'Sudeste', 'Sul', 'Centro-O…"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/plain": [
       "<function __main__.f(regiao)>"
      ]
     },
     "execution_count": 33,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "def f(regiao):\n",
    "  \n",
    "    sns.set_theme(style=\"darkgrid\")\n",
    "\n",
    "    fig, ax = plt.subplots(figsize = (15,7.5))\n",
    "\n",
    "    ax = sns.kdeplot(data = df_total_municipios.loc[df_total_municipios[\"regiao\"]==regiao], \n",
    "                    x= \"idhm_e\",\n",
    "                    hue = 'ano',\n",
    "                    palette = \"tab10\",\n",
    "                    fill = True, \n",
    "                    common_norm = False, \n",
    "                    alpha = .5, \n",
    "                    linewidth = 1.5)\n",
    "    \n",
    "    fig.suptitle('Distribuição do IDH municipal educacional por ano da Região {}'.format(regiao), fontsize=22)\n",
    "\n",
    "    ax.set_xlim(0, 1)\n",
    "    ax.set_ylim(0, 12)\n",
    "\n",
    "    plt.savefig(\"./Imagens/idhme_{}.png\".format(regiao), dpi=400)\n",
    "\n",
    "    plt.show()\n",
    "    \n",
    "interact(f, regiao = df_total_municipios[\"regiao\"].unique())"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "sharing-bobby",
   "metadata": {},
   "source": [
    "## IDHMe interativo por estado"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 34,
   "id": "connected-november",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "58292bccbf3c4503b8150e401130c872",
       "version_major": 2,
       "version_minor": 0
      },
      "text/plain": [
       "interactive(children=(Dropdown(description='uf', options=('Rondônia', 'Acre', 'Amazonas', 'Roraima', 'Pará', '…"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/plain": [
       "<function __main__.f(uf)>"
      ]
     },
     "execution_count": 34,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "def f(uf):\n",
    "  \n",
    "    sns.set_theme(style=\"darkgrid\")\n",
    "\n",
    "    fig, ax = plt.subplots(figsize = (15,7.5))\n",
    "\n",
    "    ax = sns.kdeplot(data = df_total_municipios.loc[df_total_municipios[\"uf\"]==uf], \n",
    "                    x= \"idhm_e\",\n",
    "                    hue = 'ano',\n",
    "                    palette = \"tab10\",\n",
    "                    fill = True, \n",
    "                    common_norm = False, \n",
    "                    alpha = .5, \n",
    "                    linewidth = 1.5)\n",
    "    ax.set_xlim(0, 1)\n",
    "    ax.set_ylim(0, 15)\n",
    "    \n",
    "    fig.suptitle('Distribuição do IDH municipal educacional por ano do estado {}'.format(uf), fontsize=22)\n",
    "\n",
    "    plt.show()\n",
    "    \n",
    "interact(f, uf = df_total_municipios[\"uf\"].unique())"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "separated-characteristic",
   "metadata": {},
   "source": [
    "# Índices IDHM por ano"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 35,
   "id": "recent-standing",
   "metadata": {
    "id": "BAQfMcc3Uqz2",
    "scrolled": false
   },
   "outputs": [
    {
     "data": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "5a1816b3471f4b10812e6d6fb5549cd0",
       "version_major": 2,
       "version_minor": 0
      },
      "text/plain": [
       "interactive(children=(Dropdown(description='Ano', options=(1991, 2000, 2010), value=1991), Output()), _dom_cla…"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/plain": [
       "<function __main__.Graf_Interativo_Ano_Regiao(Ano)>"
      ]
     },
     "execution_count": 35,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "def Graf_Interativo_Ano_Regiao(Ano):\n",
    "    \n",
    "    sns.set_theme(style=\"darkgrid\")\n",
    "\n",
    "    fig, (ax0, ax1, ax2, ax3) = plt.subplots( ncols = 1,\n",
    "                                              nrows = 4,\n",
    "                                              figsize = (15,22),\n",
    "                                              sharex = True)\n",
    "\n",
    "    ax0 = sns.kdeplot(  data = df_total_municipios.loc[df_total_municipios[\"ano\"] == Ano], \n",
    "                        x = \"idhm\",\n",
    "                        hue = 'regiao',\n",
    "                        palette = \"rocket\",\n",
    "                        fill = True, \n",
    "                        common_norm = False, \n",
    "                        alpha = .5, \n",
    "                        linewidth = 1.5,\n",
    "                        ax = ax0)\n",
    "    \n",
    "    ax0.set_title('IDH Total',\n",
    "                   fontsize = 18,\n",
    "                   y = 1.03)\n",
    "    \n",
    "    ax1 = sns.kdeplot(  data = df_total_municipios.loc[df_total_municipios[\"ano\"] == Ano], \n",
    "                        x = \"idhm_e\",\n",
    "                        hue = 'regiao',\n",
    "                        palette = \"rocket\",\n",
    "                        fill = True, \n",
    "                        common_norm = False, \n",
    "                        alpha = .5, \n",
    "                        linewidth = 1.5,\n",
    "                        ax = ax1)\n",
    "    \n",
    "    ax1.set_title('IDH Escolar',\n",
    "                   fontsize = 18,\n",
    "                   y = 1.03)\n",
    "    \n",
    "    ax2 = sns.kdeplot(  data = df_total_municipios.loc[df_total_municipios[\"ano\"] == Ano], \n",
    "                        x = \"idhm_l\",\n",
    "                        hue = 'regiao',\n",
    "                        palette = \"rocket\",\n",
    "                        fill = True, \n",
    "                        common_norm = False, \n",
    "                        alpha = .5, \n",
    "                        linewidth = 1.5,\n",
    "                        ax = ax2)\n",
    "    \n",
    "    ax2.set_title('IDH Longevidade',\n",
    "                   fontsize = 18,\n",
    "                   y = 1.03)\n",
    "    \n",
    "    ax3 = sns.kdeplot(  data = df_total_municipios.loc[df_total_municipios[\"ano\"] == Ano], \n",
    "                        x = \"idhm_r\",\n",
    "                        hue = 'regiao',\n",
    "                        palette = \"rocket\",\n",
    "                        fill = True, \n",
    "                        common_norm = False, \n",
    "                        alpha = .5, \n",
    "                        linewidth = 1.5,\n",
    "                        ax = ax3)\n",
    "    \n",
    "    ax3.set_title('IDH Renda',\n",
    "                   fontsize = 18,\n",
    "                   y = 1.03)\n",
    "    \n",
    "\n",
    "    fig.suptitle('Distribuição de IDH Municipal', \n",
    "                 fontsize = 25, \n",
    "                 fontweight = 'bold', \n",
    "                 y = 0.92)\n",
    "    \n",
    "    ax1.legend_ = None\n",
    "    ax2.legend_ = None\n",
    "    ax3.legend_ = None\n",
    "    \n",
    "    ax0.legend(labels = ['Norte', 'Nordeste', 'Sudeste', 'Sul', 'Centro-Oeste'],\n",
    "               title=\"Região\",\n",
    "               loc= 0, \n",
    "               fontsize='medium', \n",
    "               fancybox= True,\n",
    "               bbox_to_anchor=(0.5, 0.8, 0.5, 0.5),\n",
    "               edgecolor  = '#FFFFFF',\n",
    "               title_fontsize = 'large')\n",
    "    \n",
    "    ax0.set_ylabel('Densidade', fontsize = 15, y = 0.5)\n",
    "    ax1.set_ylabel('Densidade', fontsize = 15, y = 0.5)\n",
    "    ax2.set_ylabel('Densidade', fontsize = 15, y = 0.5)\n",
    "    ax3.set_ylabel('Densidade', fontsize = 15, y = 0.5)\n",
    "    \n",
    "    plt.xlabel('IDH', fontsize = 20, x = 0.5)\n",
    "    \n",
    "    ax0.set_xlim(0, 1)\n",
    "    ax0.set_ylim(0, 15)\n",
    "\n",
    "    plt.show();\n",
    "\n",
    "interact(Graf_Interativo_Ano_Regiao, Ano = [1991,2000, 2010])"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "optical-directive",
   "metadata": {},
   "source": [
    "# Índices IDHM por mesorregião"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 36,
   "id": "afraid-variance",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "7d79d569c72f4d3b86bf8c23d53204c2",
       "version_major": 2,
       "version_minor": 0
      },
      "text/plain": [
       "interactive(children=(Dropdown(description='UF', options=('Rondônia', 'Acre', 'Amazonas', 'Roraima', 'Pará', '…"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/plain": [
       "<function __main__.Graf_Interativo_Meso(UF)>"
      ]
     },
     "execution_count": 36,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "def Graf_Interativo_Meso(UF):\n",
    "    \n",
    "    sns.set_theme(style=\"darkgrid\")\n",
    "    \n",
    "    fig, ax = plt.subplots(figsize = (15,7.5))\n",
    "    \n",
    "    ax = sns.kdeplot(data = df_total_municipios.loc[df_total_municipios['uf'] == UF], \n",
    "                     x = \"idhm\",\n",
    "                     hue = 'mesorregiao',\n",
    "                     palette = \"rocket\",\n",
    "                     fill = True, \n",
    "                     common_norm = False, \n",
    "                     alpha = .5, \n",
    "                     linewidth = 1.5)\n",
    "    \n",
    "    ax.legend(labels = df_total_municipios.mesorregiao.loc[df_total_municipios['uf'] == UF].unique(),\n",
    "               title=\"Mesorregião\",\n",
    "               loc= 0, \n",
    "               fontsize='medium', \n",
    "               fancybox= True,\n",
    "               bbox_to_anchor=(0.5, 0.6, 0.5, 0.5),\n",
    "               edgecolor  = '#FFFFFF',\n",
    "               title_fontsize = 'x-large')\n",
    "    \n",
    "    ax.set_xlabel('IDH', \n",
    "                  fontsize = 15, \n",
    "                  y = 0.5,\n",
    "                  fontweight = 'bold')\n",
    "    \n",
    "    ax.set_ylabel('Densidade', \n",
    "                  fontsize = 15, \n",
    "                  y = 0.5,\n",
    "                  fontweight = 'bold')\n",
    "    \n",
    "    fig.suptitle('IDH das Mesorregiões', \n",
    "                 fontsize = 20, \n",
    "                 fontweight = 'bold',\n",
    "                 y = 0.94)\n",
    "        \n",
    "    plt.show(); \n",
    "    \n",
    "interact(Graf_Interativo_Meso,\n",
    "         UF = df_total_municipios.uf.unique())"
   ]
  }
 ],
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\n",
        "metadata": {
         "tags": []
        },
        "output_type": "display_data",
        "text/plain": "<Figure size 1080x540 with 1 Axes>"
       }
      ]
     }
    },
    "6a0a6b54af324faf9a24a08b68c75538": {
     "model_module": "@jupyter-widgets/controls",
     "model_name": "VBoxModel",
     "state": {
      "_dom_classes": [
       "widget-interact"
      ],
      "_model_module": "@jupyter-widgets/controls",
      "_model_module_version": "1.5.0",
      "_model_name": "VBoxModel",
      "_view_count": null,
      "_view_module": "@jupyter-widgets/controls",
      "_view_module_version": "1.5.0",
      "_view_name": "VBoxView",
      "box_style": "",
      "children": [
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       "IPY_MODEL_59ba44c39579461abd0fa4e8804315eb"
      ],
      "layout": "IPY_MODEL_f14d3c7c40684b62bb1cb8f3c7dc27fd"
     }
    },
    "846788471b8649c3b11557cc8e230e37": {
     "model_module": "@jupyter-widgets/controls",
     "model_name": "DescriptionStyleModel",
     "state": {
      "_model_module": "@jupyter-widgets/controls",
      "_model_module_version": "1.5.0",
      "_model_name": "DescriptionStyleModel",
      "_view_count": null,
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