Build_Week_1_Vis_3_4_CD.ipynb

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      "name": "Build_Week_1_Vis_3-4_CD.ipynb",
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      "authorship_tag": "ABX9TyP9Wrhk+ZjHa6lLVU8u6gUC",
      "include_colab_link": true
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    "kernelspec": {
      "name": "python3",
      "display_name": "Python 3"
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  "cells": [
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "view-in-github",
        "colab_type": "text"
      },
      "source": [
        "<a href=\"https://colab.research.google.com/github/KristineYW/Unit-1-Build/blob/master/Build_Week_1_Vis_3_4_CD.ipynb\" target=\"_parent\"><img src=\"https://colab.research.google.com/assets/colab-badge.svg\" alt=\"Open In Colab\"/></a>"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "M56QO3S93zwM",
        "colab_type": "code",
        "colab": {}
      },
      "source": [
        "import pandas as pd\n",
        "import numpy as np\n",
        "import matplotlib.pyplot as plt\n",
        "import math"
      ],
      "execution_count": 0,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "hzWpszN_3-iX",
        "colab_type": "code",
        "outputId": "1b83346b-480b-4129-88c5-697a8d575b4f",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 292
        }
      },
      "source": [
        "# Read in dataset\n",
        "\n",
        "ch_d = pd.read_csv('https://raw.githubusercontent.com/KristineYW/Unit-1-Build/master/causes-of-death-in-children.csv')\n",
        "\n",
        "ch_d.head()"
      ],
      "execution_count": 2,
      "outputs": [
        {
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              "      <th></th>\n",
              "      <th>Entity</th>\n",
              "      <th>Code</th>\n",
              "      <th>Year</th>\n",
              "      <th>Malaria (deaths)</th>\n",
              "      <th>HIV/AIDS (deaths)</th>\n",
              "      <th>Preterm birth complications (deaths)</th>\n",
              "      <th>Whooping cough (deaths)</th>\n",
              "      <th>Lower respiratory infections (deaths)</th>\n",
              "      <th>Congenital birth defects (deaths)</th>\n",
              "      <th>Measles (deaths)</th>\n",
              "      <th>Neonatal sepsis &amp; infections (deaths)</th>\n",
              "      <th>Birth asphyxia and trauma  (deaths)</th>\n",
              "      <th>Drowning (deaths)</th>\n",
              "      <th>Tuberculosis (deaths)</th>\n",
              "      <th>Diarrheal diseases (deaths)</th>\n",
              "      <th>Cancers (deaths)</th>\n",
              "      <th>Meningitis (deaths)</th>\n",
              "      <th>Nutritional deficiencies (deaths)</th>\n",
              "      <th>Other neonatal disorders (deaths)</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>0</th>\n",
              "      <td>Afghanistan</td>\n",
              "      <td>AFG</td>\n",
              "      <td>1990</td>\n",
              "      <td>117.787829</td>\n",
              "      <td>7.498654</td>\n",
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              "      <td>952.331865</td>\n",
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              "      <td>8659.475236</td>\n",
              "      <td>258.367519</td>\n",
              "      <td>5473.605334</td>\n",
              "      <td>1506.484835</td>\n",
              "      <td>5667.359368</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1</th>\n",
              "      <td>Afghanistan</td>\n",
              "      <td>AFG</td>\n",
              "      <td>1991</td>\n",
              "      <td>123.219140</td>\n",
              "      <td>8.965332</td>\n",
              "      <td>8599.301603</td>\n",
              "      <td>1230.927545</td>\n",
              "      <td>19174.882442</td>\n",
              "      <td>7185.381787</td>\n",
              "      <td>11197.293793</td>\n",
              "      <td>496.405430</td>\n",
              "      <td>2441.173769</td>\n",
              "      <td>911.374751</td>\n",
              "      <td>1236.183360</td>\n",
              "      <td>8426.787563</td>\n",
              "      <td>252.613202</td>\n",
              "      <td>5332.225337</td>\n",
              "      <td>1454.065661</td>\n",
              "      <td>5744.215629</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2</th>\n",
              "      <td>Afghanistan</td>\n",
              "      <td>AFG</td>\n",
              "      <td>1992</td>\n",
              "      <td>125.663504</td>\n",
              "      <td>12.993281</td>\n",
              "      <td>9347.794346</td>\n",
              "      <td>1299.032836</td>\n",
              "      <td>19907.997133</td>\n",
              "      <td>7481.088853</td>\n",
              "      <td>11772.826326</td>\n",
              "      <td>540.735172</td>\n",
              "      <td>2690.812206</td>\n",
              "      <td>896.176995</td>\n",
              "      <td>1257.489351</td>\n",
              "      <td>8749.387051</td>\n",
              "      <td>257.074124</td>\n",
              "      <td>5527.464485</td>\n",
              "      <td>1498.632928</td>\n",
              "      <td>6236.912651</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>3</th>\n",
              "      <td>Afghanistan</td>\n",
              "      <td>AFG</td>\n",
              "      <td>1993</td>\n",
              "      <td>155.203295</td>\n",
              "      <td>17.952750</td>\n",
              "      <td>12753.995223</td>\n",
              "      <td>1459.329955</td>\n",
              "      <td>24732.410838</td>\n",
              "      <td>9501.380243</td>\n",
              "      <td>12282.008121</td>\n",
              "      <td>733.405365</td>\n",
              "      <td>3715.201390</td>\n",
              "      <td>969.520533</td>\n",
              "      <td>1483.454933</td>\n",
              "      <td>11710.601455</td>\n",
              "      <td>298.682199</td>\n",
              "      <td>6778.601437</td>\n",
              "      <td>1799.184564</td>\n",
              "      <td>8469.547312</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>4</th>\n",
              "      <td>Afghanistan</td>\n",
              "      <td>AFG</td>\n",
              "      <td>1994</td>\n",
              "      <td>198.951854</td>\n",
              "      <td>21.288766</td>\n",
              "      <td>13862.161128</td>\n",
              "      <td>1844.931772</td>\n",
              "      <td>29035.079800</td>\n",
              "      <td>10858.293500</td>\n",
              "      <td>13343.653435</td>\n",
              "      <td>816.191459</td>\n",
              "      <td>4077.710931</td>\n",
              "      <td>1167.391417</td>\n",
              "      <td>1814.913734</td>\n",
              "      <td>13085.336308</td>\n",
              "      <td>357.944962</td>\n",
              "      <td>8066.119569</td>\n",
              "      <td>2222.462913</td>\n",
              "      <td>9379.303256</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
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            ],
            "text/plain": [
              "        Entity  ... Other neonatal disorders (deaths)\n",
              "0  Afghanistan  ...                       5667.359368\n",
              "1  Afghanistan  ...                       5744.215629\n",
              "2  Afghanistan  ...                       6236.912651\n",
              "3  Afghanistan  ...                       8469.547312\n",
              "4  Afghanistan  ...                       9379.303256\n",
              "\n",
              "[5 rows x 19 columns]"
            ]
          },
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            "tags": []
          },
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        }
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        "id": "OZqeB8JQ4FRJ",
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        "colab": {
          "base_uri": "https://localhost:8080/",
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      "source": [
        "# Remove all rows that do not pertain to the US\n",
        "\n",
        "ch_d = ch_d.loc[ch_d['Code']=='USA']\n",
        "\n",
        "ch_d.head()"
      ],
      "execution_count": 3,
      "outputs": [
        {
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              "      <th>Measles (deaths)</th>\n",
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              "      <th>Drowning (deaths)</th>\n",
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              "      <th>Nutritional deficiencies (deaths)</th>\n",
              "      <th>Other neonatal disorders (deaths)</th>\n",
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              "      <td>NaN</td>\n",
              "      <td>383.449561</td>\n",
              "      <td>11064.483936</td>\n",
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              "      <th>6078</th>\n",
              "      <td>United States</td>\n",
              "      <td>USA</td>\n",
              "      <td>1992</td>\n",
              "      <td>NaN</td>\n",
              "      <td>399.554773</td>\n",
              "      <td>10441.392120</td>\n",
              "      <td>8.105493</td>\n",
              "      <td>1423.639281</td>\n",
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              "      <td>701.948045</td>\n",
              "      <td>14.562346</td>\n",
              "      <td>169.544542</td>\n",
              "      <td>844.227276</td>\n",
              "      <td>558.960979</td>\n",
              "      <td>24.776121</td>\n",
              "      <td>2629.154946</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>6079</th>\n",
              "      <td>United States</td>\n",
              "      <td>USA</td>\n",
              "      <td>1993</td>\n",
              "      <td>NaN</td>\n",
              "      <td>425.886905</td>\n",
              "      <td>10165.307262</td>\n",
              "      <td>8.434532</td>\n",
              "      <td>1383.627507</td>\n",
              "      <td>8368.012440</td>\n",
              "      <td>0.202186</td>\n",
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              "    <tr>\n",
              "      <th>6080</th>\n",
              "      <td>United States</td>\n",
              "      <td>USA</td>\n",
              "      <td>1994</td>\n",
              "      <td>NaN</td>\n",
              "      <td>427.732609</td>\n",
              "      <td>9782.921992</td>\n",
              "      <td>8.247758</td>\n",
              "      <td>1290.416698</td>\n",
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              "      <td>22.044427</td>\n",
              "      <td>2357.698209</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
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            "text/plain": [
              "             Entity  ... Other neonatal disorders (deaths)\n",
              "6076  United States  ...                       3075.754425\n",
              "6077  United States  ...                       2858.334181\n",
              "6078  United States  ...                       2629.154946\n",
              "6079  United States  ...                       2504.526630\n",
              "6080  United States  ...                       2357.698209\n",
              "\n",
              "[5 rows x 19 columns]"
            ]
          },
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            "tags": []
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          "execution_count": 3
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        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 343
        }
      },
      "source": [
        "# Fill NaN values with 0\n",
        "\n",
        "ch_d = ch_d.fillna(0)\n",
        "ch_d.columns = ['Entity','Code','Year','Malaria','HIV/AIDS','Preterm Birth',\n",
        "                'Whooping Cough','Lower Respiratory Infections','Congenital Birth Defects','Measles',\n",
        "                'Neonatal Sepsis','Birth Asphyxia','Drowning','Tuberculosis','Diarrheal Diseases',\n",
        "                'Cancers','Meningitis','Nutritional Deficiencies','Other Disorders']\n",
        "\n",
        "ch_d.head()"
      ],
      "execution_count": 4,
      "outputs": [
        {
          "output_type": "execute_result",
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              "      <th>Drowning</th>\n",
              "      <th>Tuberculosis</th>\n",
              "      <th>Diarrheal Diseases</th>\n",
              "      <th>Cancers</th>\n",
              "      <th>Meningitis</th>\n",
              "      <th>Nutritional Deficiencies</th>\n",
              "      <th>Other Disorders</th>\n",
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              "      <th>6077</th>\n",
              "      <td>United States</td>\n",
              "      <td>USA</td>\n",
              "      <td>1991</td>\n",
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              "      <td>26.227960</td>\n",
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              "    <tr>\n",
              "      <th>6078</th>\n",
              "      <td>United States</td>\n",
              "      <td>USA</td>\n",
              "      <td>1992</td>\n",
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              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "</div>"
            ],
            "text/plain": [
              "             Entity Code  ...  Nutritional Deficiencies  Other Disorders\n",
              "6076  United States  USA  ...                 27.215834      3075.754425\n",
              "6077  United States  USA  ...                 26.227960      2858.334181\n",
              "6078  United States  USA  ...                 24.776121      2629.154946\n",
              "6079  United States  USA  ...                 24.335223      2504.526630\n",
              "6080  United States  USA  ...                 22.044427      2357.698209\n",
              "\n",
              "[5 rows x 19 columns]"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 4
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "KSGu5Emwy9yi",
        "colab_type": "code",
        "outputId": "f6d85f2f-1054-4ea8-9e8d-c41185869686",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 306
        }
      },
      "source": [
        "cd_rest = ch_d[['Entity','Code','Year','HIV/AIDS','Preterm Birth','Congenital Birth Defects',\n",
        "                'Neonatal Sepsis','Birth Asphyxia','Drowning','Cancers','Nutritional Deficiencies','Other Disorders']].copy()\n",
        "\n",
        "cd_rest.head()"
      ],
      "execution_count": 5,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
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              "      <td>United States</td>\n",
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              "      <td>362.946087</td>\n",
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              "      <td>United States</td>\n",
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              "    <tr>\n",
              "      <th>6080</th>\n",
              "      <td>United States</td>\n",
              "      <td>USA</td>\n",
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              "      <td>427.732609</td>\n",
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              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "</div>"
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            "text/plain": [
              "             Entity Code  ...  Nutritional Deficiencies  Other Disorders\n",
              "6076  United States  USA  ...                 27.215834      3075.754425\n",
              "6077  United States  USA  ...                 26.227960      2858.334181\n",
              "6078  United States  USA  ...                 24.776121      2629.154946\n",
              "6079  United States  USA  ...                 24.335223      2504.526630\n",
              "6080  United States  USA  ...                 22.044427      2357.698209\n",
              "\n",
              "[5 rows x 12 columns]"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 5
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "nDf1rRwO0hUR",
        "colab_type": "code",
        "outputId": "77ba417d-92d2-44be-a8d7-dd51c7c2bb84",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 306
        }
      },
      "source": [
        "sum_rest = cd_rest['HIV/AIDS'] + cd_rest['Preterm Birth'] + cd_rest['Congenital Birth Defects'] + cd_rest['Neonatal Sepsis'] + cd_rest['Birth Asphyxia'] + cd_rest['Drowning'] + cd_rest['Cancers'] + cd_rest['Nutritional Deficiencies'] + cd_rest['Other Disorders']\n",
        "\n",
        "cd_rest['All'] = sum_rest\n",
        "\n",
        "cd_rest.head()"
      ],
      "execution_count": 6,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
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              "      <td>2504.526630</td>\n",
              "      <td>26366.136527</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>6080</th>\n",
              "      <td>United States</td>\n",
              "      <td>USA</td>\n",
              "      <td>1994</td>\n",
              "      <td>427.732609</td>\n",
              "      <td>9782.921992</td>\n",
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              "      <td>2357.698209</td>\n",
              "      <td>25331.757781</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "</div>"
            ],
            "text/plain": [
              "             Entity Code  ...  Other Disorders           All\n",
              "6076  United States  USA  ...      3075.754425  29748.823628\n",
              "6077  United States  USA  ...      2858.334181  28439.046663\n",
              "6078  United States  USA  ...      2629.154946  26915.313766\n",
              "6079  United States  USA  ...      2504.526630  26366.136527\n",
              "6080  United States  USA  ...      2357.698209  25331.757781\n",
              "\n",
              "[5 rows x 13 columns]"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 6
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "jWobpUbG1mQe",
        "colab_type": "code",
        "colab": {}
      },
      "source": [
        "cd_rest = cd_rest.drop(['HIV/AIDS','Preterm Birth','Congenital Birth Defects',\n",
        "                'Neonatal Sepsis','Birth Asphyxia','Drowning','Cancers','Nutritional Deficiencies','Other Disorders'], axis=1)\n"
      ],
      "execution_count": 0,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "S0QIcIT41vyU",
        "colab_type": "code",
        "outputId": "776c24f7-d296-4497-f56d-8867d910e558",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 359
        }
      },
      "source": [
        "cd_rest.head(10)\n",
        "\n"
      ],
      "execution_count": 8,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/html": [
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              "    .dataframe tbody tr th:only-of-type {\n",
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              "    <tr>\n",
              "      <th>6080</th>\n",
              "      <td>United States</td>\n",
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              "      <td>1994</td>\n",
              "      <td>25331.757781</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>6081</th>\n",
              "      <td>United States</td>\n",
              "      <td>USA</td>\n",
              "      <td>1995</td>\n",
              "      <td>23709.874339</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>6082</th>\n",
              "      <td>United States</td>\n",
              "      <td>USA</td>\n",
              "      <td>1996</td>\n",
              "      <td>22845.701990</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>6083</th>\n",
              "      <td>United States</td>\n",
              "      <td>USA</td>\n",
              "      <td>1997</td>\n",
              "      <td>22735.825146</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>6084</th>\n",
              "      <td>United States</td>\n",
              "      <td>USA</td>\n",
              "      <td>1998</td>\n",
              "      <td>22950.568126</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>6085</th>\n",
              "      <td>United States</td>\n",
              "      <td>USA</td>\n",
              "      <td>1999</td>\n",
              "      <td>22964.151979</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "</div>"
            ],
            "text/plain": [
              "             Entity Code  Year           All\n",
              "6076  United States  USA  1990  29748.823628\n",
              "6077  United States  USA  1991  28439.046663\n",
              "6078  United States  USA  1992  26915.313766\n",
              "6079  United States  USA  1993  26366.136527\n",
              "6080  United States  USA  1994  25331.757781\n",
              "6081  United States  USA  1995  23709.874339\n",
              "6082  United States  USA  1996  22845.701990\n",
              "6083  United States  USA  1997  22735.825146\n",
              "6084  United States  USA  1998  22950.568126\n",
              "6085  United States  USA  1999  22964.151979"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 8
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "pXo20h3o3Ix1",
        "colab_type": "code",
        "outputId": "e9568533-1606-481b-b697-9b06f0d369f1",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 297
        }
      },
      "source": [
        "cd_rest = cd_rest.set_index(keys='Year')\n",
        "cd_rest=cd_rest.loc[[1990,1995,2000,2005,2010,2015,2017]]\n",
        "\n",
        "cd_rest.head(10)"
      ],
      "execution_count": 9,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
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              "      <th>Year</th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>1990</th>\n",
              "      <td>United States</td>\n",
              "      <td>USA</td>\n",
              "      <td>29748.823628</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1995</th>\n",
              "      <td>United States</td>\n",
              "      <td>USA</td>\n",
              "      <td>23709.874339</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2000</th>\n",
              "      <td>United States</td>\n",
              "      <td>USA</td>\n",
              "      <td>22875.632255</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2005</th>\n",
              "      <td>United States</td>\n",
              "      <td>USA</td>\n",
              "      <td>23215.802976</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2010</th>\n",
              "      <td>United States</td>\n",
              "      <td>USA</td>\n",
              "      <td>19587.219927</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2015</th>\n",
              "      <td>United States</td>\n",
              "      <td>USA</td>\n",
              "      <td>18883.052677</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2017</th>\n",
              "      <td>United States</td>\n",
              "      <td>USA</td>\n",
              "      <td>18029.699140</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "</div>"
            ],
            "text/plain": [
              "             Entity Code           All\n",
              "Year                                  \n",
              "1990  United States  USA  29748.823628\n",
              "1995  United States  USA  23709.874339\n",
              "2000  United States  USA  22875.632255\n",
              "2005  United States  USA  23215.802976\n",
              "2010  United States  USA  19587.219927\n",
              "2015  United States  USA  18883.052677\n",
              "2017  United States  USA  18029.699140"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 9
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "kXxf4wgv2CN9",
        "colab_type": "code",
        "outputId": "8ee435f9-8ce6-48d6-a3a9-1e8f98c9aadd",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 695
        }
      },
      "source": [
        "cd_rest.plot(kind='bar', figsize=(20,10),color=(\"#c0c1c3\"), legend=False)\n",
        "\n",
        "\n",
        "plt.title(\"All Other Deaths Caused by Diseases in Children\",fontsize=35)\n",
        "\n",
        "plt.ylabel('Number of Deaths', fontsize=28,labelpad=20)\n",
        "plt.xlabel('Year', fontsize=28,labelpad=20)\n",
        "\n",
        "plt.xticks(fontsize=15)\n",
        "plt.yticks(fontsize=15)\n",
        "\n",
        "plt.gca().spines['top'].set_visible(False)\n",
        "plt.gca().spines['right'].set_visible(False)\n",
        "\n",
        "plt.show()"
      ],
      "execution_count": 10,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "image/png": 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\n",
            "text/plain": [
              "<Figure size 1440x720 with 1 Axes>"
            ]
          },
          "metadata": {
            "tags": [],
            "needs_background": "light"
          }
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "E961_71B477Y",
        "colab_type": "code",
        "outputId": "1df940a7-c7b5-4b3d-f36a-9e306632b38c",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 343
        }
      },
      "source": [
        "'''\n",
        "Combine all non-vaccination-treatable diseases pertinent to the US into a \n",
        "separate column under \"All Other Diseases\"\n",
        "'''\n",
        "sum = ch_d['Malaria'] + ch_d['HIV/AIDS'] + ch_d['Preterm Birth'] + ch_d['Congenital Birth Defects']+ ch_d['Neonatal Sepsis']+ ch_d['Birth Asphyxia']+ ch_d['Drowning']+ ch_d['Cancers']+ ch_d['Nutritional Deficiencies']+ ch_d['Other Disorders']\n",
        "\n",
        "ch_d['All Other Diseases'] = sum\n",
        "\n",
        "ch_d.head()\n"
      ],
      "execution_count": 11,
      "outputs": [
        {
          "output_type": "execute_result",
          "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>Entity</th>\n",
              "      <th>Code</th>\n",
              "      <th>Year</th>\n",
              "      <th>Malaria</th>\n",
              "      <th>HIV/AIDS</th>\n",
              "      <th>Preterm Birth</th>\n",
              "      <th>Whooping Cough</th>\n",
              "      <th>Lower Respiratory Infections</th>\n",
              "      <th>Congenital Birth Defects</th>\n",
              "      <th>Measles</th>\n",
              "      <th>Neonatal Sepsis</th>\n",
              "      <th>Birth Asphyxia</th>\n",
              "      <th>Drowning</th>\n",
              "      <th>Tuberculosis</th>\n",
              "      <th>Diarrheal Diseases</th>\n",
              "      <th>Cancers</th>\n",
              "      <th>Meningitis</th>\n",
              "      <th>Nutritional Deficiencies</th>\n",
              "      <th>Other Disorders</th>\n",
              "      <th>All Other Diseases</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>6076</th>\n",
              "      <td>United States</td>\n",
              "      <td>USA</td>\n",
              "      <td>1990</td>\n",
              "      <td>0.0</td>\n",
              "      <td>362.946087</td>\n",
              "      <td>11620.392572</td>\n",
              "      <td>8.588814</td>\n",
              "      <td>1635.913226</td>\n",
              "      <td>9389.587952</td>\n",
              "      <td>18.161524</td>\n",
              "      <td>893.021764</td>\n",
              "      <td>2763.798999</td>\n",
              "      <td>749.729570</td>\n",
              "      <td>17.117167</td>\n",
              "      <td>161.481894</td>\n",
              "      <td>866.376424</td>\n",
              "      <td>811.466625</td>\n",
              "      <td>27.215834</td>\n",
              "      <td>3075.754425</td>\n",
              "      <td>29748.823628</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>6077</th>\n",
              "      <td>United States</td>\n",
              "      <td>USA</td>\n",
              "      <td>1991</td>\n",
              "      <td>0.0</td>\n",
              "      <td>383.449561</td>\n",
              "      <td>11064.483936</td>\n",
              "      <td>7.747370</td>\n",
              "      <td>1535.296153</td>\n",
              "      <td>8975.466296</td>\n",
              "      <td>6.246960</td>\n",
              "      <td>878.247842</td>\n",
              "      <td>2655.940097</td>\n",
              "      <td>737.269759</td>\n",
              "      <td>15.851765</td>\n",
              "      <td>167.086152</td>\n",
              "      <td>859.627030</td>\n",
              "      <td>611.934378</td>\n",
              "      <td>26.227960</td>\n",
              "      <td>2858.334181</td>\n",
              "      <td>28439.046663</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>6078</th>\n",
              "      <td>United States</td>\n",
              "      <td>USA</td>\n",
              "      <td>1992</td>\n",
              "      <td>0.0</td>\n",
              "      <td>399.554773</td>\n",
              "      <td>10441.392120</td>\n",
              "      <td>8.105493</td>\n",
              "      <td>1423.639281</td>\n",
              "      <td>8465.900759</td>\n",
              "      <td>1.423512</td>\n",
              "      <td>858.722357</td>\n",
              "      <td>2549.637368</td>\n",
              "      <td>701.948045</td>\n",
              "      <td>14.562346</td>\n",
              "      <td>169.544542</td>\n",
              "      <td>844.227276</td>\n",
              "      <td>558.960979</td>\n",
              "      <td>24.776121</td>\n",
              "      <td>2629.154946</td>\n",
              "      <td>26915.313766</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>6079</th>\n",
              "      <td>United States</td>\n",
              "      <td>USA</td>\n",
              "      <td>1993</td>\n",
              "      <td>0.0</td>\n",
              "      <td>425.886905</td>\n",
              "      <td>10165.307262</td>\n",
              "      <td>8.434532</td>\n",
              "      <td>1383.627507</td>\n",
              "      <td>8368.012440</td>\n",
              "      <td>0.202186</td>\n",
              "      <td>846.778920</td>\n",
              "      <td>2504.492244</td>\n",
              "      <td>692.971897</td>\n",
              "      <td>13.538472</td>\n",
              "      <td>181.139857</td>\n",
              "      <td>833.825006</td>\n",
              "      <td>539.544713</td>\n",
              "      <td>24.335223</td>\n",
              "      <td>2504.526630</td>\n",
              "      <td>26366.136527</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>6080</th>\n",
              "      <td>United States</td>\n",
              "      <td>USA</td>\n",
              "      <td>1994</td>\n",
              "      <td>0.0</td>\n",
              "      <td>427.732609</td>\n",
              "      <td>9782.921992</td>\n",
              "      <td>8.247758</td>\n",
              "      <td>1290.416698</td>\n",
              "      <td>8004.439495</td>\n",
              "      <td>0.580205</td>\n",
              "      <td>840.652661</td>\n",
              "      <td>2434.577431</td>\n",
              "      <td>657.460682</td>\n",
              "      <td>11.841905</td>\n",
              "      <td>192.683480</td>\n",
              "      <td>804.230274</td>\n",
              "      <td>528.571573</td>\n",
              "      <td>22.044427</td>\n",
              "      <td>2357.698209</td>\n",
              "      <td>25331.757781</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "</div>"
            ],
            "text/plain": [
              "             Entity Code  ...  Other Disorders  All Other Diseases\n",
              "6076  United States  USA  ...      3075.754425        29748.823628\n",
              "6077  United States  USA  ...      2858.334181        28439.046663\n",
              "6078  United States  USA  ...      2629.154946        26915.313766\n",
              "6079  United States  USA  ...      2504.526630        26366.136527\n",
              "6080  United States  USA  ...      2357.698209        25331.757781\n",
              "\n",
              "[5 rows x 20 columns]"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 11
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "XCy_7o1U-RiU",
        "colab_type": "code",
        "outputId": "305fd357-fcae-4da7-e130-288d9da4cd68",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 306
        }
      },
      "source": [
        "'''\n",
        "Remove all non-vaccination-treatable diseases since they are already added in the \n",
        "All Other Diseases column above\n",
        "'''\n",
        "\n",
        "ch_d_clean = ch_d.drop(['Malaria','HIV/AIDS','Preterm Birth','Congenital Birth Defects',\n",
        "                        'Neonatal Sepsis','Birth Asphyxia','Drowning','Cancers',\n",
        "                        'Nutritional Deficiencies','Other Disorders'], axis=1)\n",
        "\n",
        "ch_d_clean.head()"
      ],
      "execution_count": 12,
      "outputs": [
        {
          "output_type": "execute_result",
          "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>Entity</th>\n",
              "      <th>Code</th>\n",
              "      <th>Year</th>\n",
              "      <th>Whooping Cough</th>\n",
              "      <th>Lower Respiratory Infections</th>\n",
              "      <th>Measles</th>\n",
              "      <th>Tuberculosis</th>\n",
              "      <th>Diarrheal Diseases</th>\n",
              "      <th>Meningitis</th>\n",
              "      <th>All Other Diseases</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>6076</th>\n",
              "      <td>United States</td>\n",
              "      <td>USA</td>\n",
              "      <td>1990</td>\n",
              "      <td>8.588814</td>\n",
              "      <td>1635.913226</td>\n",
              "      <td>18.161524</td>\n",
              "      <td>17.117167</td>\n",
              "      <td>161.481894</td>\n",
              "      <td>811.466625</td>\n",
              "      <td>29748.823628</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>6077</th>\n",
              "      <td>United States</td>\n",
              "      <td>USA</td>\n",
              "      <td>1991</td>\n",
              "      <td>7.747370</td>\n",
              "      <td>1535.296153</td>\n",
              "      <td>6.246960</td>\n",
              "      <td>15.851765</td>\n",
              "      <td>167.086152</td>\n",
              "      <td>611.934378</td>\n",
              "      <td>28439.046663</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>6078</th>\n",
              "      <td>United States</td>\n",
              "      <td>USA</td>\n",
              "      <td>1992</td>\n",
              "      <td>8.105493</td>\n",
              "      <td>1423.639281</td>\n",
              "      <td>1.423512</td>\n",
              "      <td>14.562346</td>\n",
              "      <td>169.544542</td>\n",
              "      <td>558.960979</td>\n",
              "      <td>26915.313766</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>6079</th>\n",
              "      <td>United States</td>\n",
              "      <td>USA</td>\n",
              "      <td>1993</td>\n",
              "      <td>8.434532</td>\n",
              "      <td>1383.627507</td>\n",
              "      <td>0.202186</td>\n",
              "      <td>13.538472</td>\n",
              "      <td>181.139857</td>\n",
              "      <td>539.544713</td>\n",
              "      <td>26366.136527</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>6080</th>\n",
              "      <td>United States</td>\n",
              "      <td>USA</td>\n",
              "      <td>1994</td>\n",
              "      <td>8.247758</td>\n",
              "      <td>1290.416698</td>\n",
              "      <td>0.580205</td>\n",
              "      <td>11.841905</td>\n",
              "      <td>192.683480</td>\n",
              "      <td>528.571573</td>\n",
              "      <td>25331.757781</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "</div>"
            ],
            "text/plain": [
              "             Entity Code  ...  Meningitis  All Other Diseases\n",
              "6076  United States  USA  ...  811.466625        29748.823628\n",
              "6077  United States  USA  ...  611.934378        28439.046663\n",
              "6078  United States  USA  ...  558.960979        26915.313766\n",
              "6079  United States  USA  ...  539.544713        26366.136527\n",
              "6080  United States  USA  ...  528.571573        25331.757781\n",
              "\n",
              "[5 rows x 10 columns]"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 12
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "5O3YyDVKBqgy",
        "colab_type": "code",
        "outputId": "bf2c2666-84f5-4451-9920-b587df3cba78",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 204
        }
      },
      "source": [
        "ch_d_clean.dtypes\n"
      ],
      "execution_count": 13,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "Entity                           object\n",
              "Code                             object\n",
              "Year                              int64\n",
              "Whooping Cough                  float64\n",
              "Lower Respiratory Infections    float64\n",
              "Measles                         float64\n",
              "Tuberculosis                    float64\n",
              "Diarrheal Diseases              float64\n",
              "Meningitis                      float64\n",
              "All Other Diseases              float64\n",
              "dtype: object"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 13
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "IZjZubx3_QtW",
        "colab_type": "code",
        "outputId": "4433a34a-acca-47f9-85f0-47c82c6881be",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 319
        }
      },
      "source": [
        "# Graph data using stacked area chart \n",
        "\n",
        "import seaborn as sns\n",
        "\n",
        "plt.stackplot(ch_d_clean['Year'],ch_d_clean['Lower Respiratory Infections'],\n",
        "              ch_d_clean['Diarrheal Diseases'],ch_d_clean['Meningitis'],\n",
        "              ch_d_clean['Whooping Cough'],ch_d_clean['Tuberculosis'],\n",
        "              ch_d['Measles'],labels=['Lower Respiratory Infections','Diarrheal Diseases','Meningitis','Whooping Cough',\n",
        "                      'Tuberculosis','Measles'])\n",
        "\n",
        "plt.legend(loc='upper right')\n",
        "plt.show()"
      ],
      "execution_count": 14,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "/usr/local/lib/python3.6/dist-packages/statsmodels/tools/_testing.py:19: FutureWarning: pandas.util.testing is deprecated. Use the functions in the public API at pandas.testing instead.\n",
            "  import pandas.util.testing as tm\n"
          ],
          "name": "stderr"
        },
        {
          "output_type": "display_data",
          "data": {
            "image/png": 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\n",
            "text/plain": [
              "<Figure size 432x288 with 1 Axes>"
            ]
          },
          "metadata": {
            "tags": [],
            "needs_background": "light"
          }
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "QlhWeMNyEcsu",
        "colab_type": "code",
        "outputId": "dca074cc-4d0d-423b-8833-57893388fb72",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 706
        }
      },
      "source": [
        "\n",
        "labels = ['Lower Respiratory Infections','Diarrheal Diseases','Meningitis',\n",
        "          'Whooping Cough','Tuberculosis','Measles']\n",
        "\n",
        "\n",
        "\n",
        "fig, ax = plt.subplots(figsize=(18,10))\n",
        "ax.stackplot(ch_d_clean['Year'],ch_d_clean['Lower Respiratory Infections'],\n",
        "              ch_d_clean['Diarrheal Diseases'],ch_d_clean['Meningitis'],\n",
        "              ch_d_clean['Whooping Cough'],ch_d_clean['Tuberculosis'],\n",
        "              ch_d['Measles'], labels=labels, colors=('#00C0A3','#00896F','#B0A8B9',\n",
        "                                                      '#4B4453','#845EC2','#1C053a'))\n",
        "\n",
        "ax.set_title(\"Leading Causes of Vaccine-Treatable Deaths in Children\", color='black', \n",
        "             weight='bold', fontsize=24, x=.475, y=1.05)\n",
        "\n",
        "\n",
        "ax.set_yticklabels([0,500,1000,1500,2000,2500], color='#000000', fontsize=20)\n",
        "ax.set_xticklabels([0,1990,1995,2000,2005,2010,2015,2020], color='#000000', fontsize=18)\n",
        "\n",
        "ax.set_xlabel('Year',fontsize=25,labelpad=30)\n",
        "ax.set_ylabel('Number of Deaths',fontsize=25,labelpad=20)\n",
        "\n",
        "ax.spines['right'].set_visible(False)\n",
        "ax.spines['top'].set_visible(False)\n",
        "\n",
        "ax.legend(fontsize=18,bbox_to_anchor=(.97,1.05),shadow=True,facecolor='#f1f1f1',borderpad=1)\n",
        "\n",
        "plt.show();"
      ],
      "execution_count": 15,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "image/png": 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IIYI3rSiE24bJoRY+kOd4HYQLgp2Pu27kTyd5KNesGb4/rLXfGWO+wgWQUmXlb0tOr025Id2d6jk/EwJGfxjiceA7n2hccLsHrhZGWVzzxPRmVB7XV024BDa5+jngd4mA31/jakSCq9nwpTFmBX/97fnaWnswG9f/7Mpq+SMpr8sa7Px7zfdHOudtKJ5MZ3zg3/HCQHKI58WSDKafTftZ/oYUhBE5c2T3wdvbx4Ux5gpch5zFQszr+3nekqS9JmwJkic3bl5/CTIu8MHRt2yBVdb3Wmv3BZnHZnIWhNkV8LuUMaZgVh/YcrhfwuUJXL8LqU0cavJXUAbAGmO+AJ601s7zGZ+T43KrtfZnY8zLuGrf4IIJ3TxDqr3GmDeA4dZ9cjQry/D1W5A0W4KMKxdkXFhYa78wxvyMC56k6o3rCDCwadJOXBMmrxweK8H21foQ5lGKtA/XoeTLrqye7zm9NlYk+LGR6grSNuPIjvS2WTiu7RVwDxwXZiF/UbIZhDHG9MZ1vhlqk87Mrll7rLUHgozfiv/DXMjNkcjhtSmbeTNTIci41GtaOI6D4rgvPgU2OcxIOP+eHLTW7ggYl9G5C64vkA/561iqj3/A9bQxZjnwuLV2edhKGlx2yp+ZwPsEcMfBpiDjsyrwWhlY1lCa5GRF4Pm3x1p7MEi6wPM2MydwAbdgcnxepCOvt51IlqhPGJGzXyEAY0x+XJ8eoT68gf+bs0xfO3gEe9ObU3uCjDudhfy5USZI+1AVQ9q3NhkKw34JJtjNQ3qdKQNgrf0eF5B6juDt/Q2urfY7xpg+oRQyE74ddQ7C9X+xHHczFug84DZguWd7ne1mBfy+3vP2OjAI86a19lTqj1w6Vs5EOT3fQ5VZZ7Hh9r8wz8+3/BPJWgAGsnlsePplmUrW+tTK7nGYW9fujOTmcdE6yLjA2oBZ5Vve4WQtAAPhvUZk+dy11i7FBV1eJXjAIhrXbGyJMaZVjkuYsdy49gQLvl6Rw3kCYK0NLG9uXCd95dZ94A5rbUpWC5OJDM/jCGw7kSxRTRiRM8f2gN9rybyzQ4DUGiDNSPuGfxKuucMuXD8EfUi/1/tkXF8NvteFKkHSJYRQptwW+CarpDGmWJA3Ntn6GpCPD4DxAePuxfXiH6qc7hdw+8VXsE7xamRWEE8TkCHAEGNMvCdPTVwHdVf5JL2fvwIJ23FVyH3L/p/MloXP8expojETmOlp9na+Z9n1cR3+pVYLvhhXW2ceodmOf2eiwb6skBBkXDir5gczE3jM53cZXEeQgV/sCWyKlNNjJVgQoA5pO+ENlIwLjvkGwOqQtiPXSMnptTFPZPCQEVj+k7hmJJnVqDsG3i9edQqYthhXvX+rZ37Vydp1KSMd8L/GpOA6jJ3PX333PIDrUDZUJY0xxYPUhkkI+B14bc9Ijq9N4WSMKUHar4v9yV+dJgdbbmsyr5Xje/0P/CrNV7jAzC+4DmYLkH6Ng4ix1m7A9ROSWqurBu562I+/vpQWjeu3I7drw4TbEtw56Bu0vMMY86oNzxeS8lKo91YJWZxvRgGYwPNiO381X8tIXjVfE8kVqgkjcuYI7KPiEqC4tXZLsAFXxbmJTzOcwIe3fdba2621n1trN3vypFt91HOzEPiFjWCfSc3up1PD6csg4/zKZYypTw77g7HW/oCrRu3ramPMI+nlMcZEGWNu8/kUco72S2qegN8ljTFxPsssTiZf8Qn8NLO1dqe1dpW19mXSfiXA94174HF5Na6KcnrH5Slcp6OpD5CFfb/yYq09aa390Vr7vrV2OAF9+ZC1t/2BX6rq5Xlg9RX49aTjuIf4XGOt3YxrfuQrMHDys7X2i4BxOT2H/yBts5uHPH2J+DFOcU++08CqgCS3+x5jAXlj0ytDLsnRtdEz3mQwLMvl8n+Jf8AlH3BFBuX/Hdc/V2qtsWDNxe6z1i621v7iyVMrhHIEPhCm9yY58DjcYK0dYa1dZ639DdiGf3OSUN3o+8PzGfHA4znYtT09Obo2hZPnnJgLxAdM+k9qP0HW2t9JG3DpkF55PWWuhv++D9w3I621C6y1Gz3pQ7l+hnochIUxxq/M1tr/WmuXWWsn4/q+8pXV2l4R57nOvBwwug7uU/PpPmcZY3oaY4J9WSmSQrm3Cnbe5kTgeVwWuCiDc+J/QKssNl0WOeOoJoxI7itojEnIYPoR6zrAXI77gk3qm718wCfGmH/jHjb34Jpt1MZ12NnZM+4NT/rAP0glPMGCuUAs7maneyZlfQP/m+tGxpjXcW8YwdWiaJgmVx6z1n5vjFmP/6ch/+O54VmOq8EzMUyLuwdX/dv3c7GPe/rueBH4DndTWwHXVKk/rkbGIk/acOyX74KMm2WMeRh3nIz2zCsjk4wxNYD3cTdaW3BfIYjDfZrc12Gf/78CPMhfDwLnA0nGmHHABtzDZVncZ1g74Kphz+Kv4FU1YI0xZj7ujeGPuFod0biH6cAmOocJ3Uv4P9iVw50zj+Nqd3TD/xOtADNtkI5qc8FM/N/mBQaHApssQXiOleeBf/v8rgGsNMaMwe2vArhz/Fbcp0jf9cnnW4W+JLDKGDMKd7wY3IPFP3D79ulMyhFOOb02RpS19qgx5jX8HzifMcZciKv19Seu5skFuNpQ3XH92FTFrcc+XFV632aIw4wxY3GBhQ7AoyEUJbApSBtjTDtc31kpwCHPg03gcVjLGHMrrt+csrjagNnpnH28p1neMtx1YULA9JNkrfZVTq9N2VXC8zc9P+6a0wp3PgUGSNbimn/6egF3vU51v6dW4ixccKsAbts0xh0HNTzl3uxJvztgOXcZY3YCBzzlGBlC+QOPg3rGmK64bXYaOGatDWdtofeNMSeBBbimWdtw+6Y8rtalr6xc/88kI3DXHd8+gf4JXGaMmYSrsXQUVyuyMe7vVh3C1GwpXKzrdPc73LU0Veq91QrcOfZUmJf5mzHmY/xr484xxjyF6zNtJ+7+6yLcMd4VKI1r3iZy9rJnwCeaNGg4lwbSfo41s+Fdn7wtcG/qQ827xSdvEdJ+5jVw2J5efp95BH4GMHA4GTguyDYIzNM6k200IoTtOCJgemII2yfwk7XTs7lPr8JVfc3Kfk0I137xzCfNp8EDhpRM9u3bWSj7zIC892dx3af75A32Ocv0htPAhVncN69kYf5/AGUD8iekt+9yeB0ohavJkF5ZqgXJE45zuCCuFk4o26OrTz4DvBNivsDPwQdOz43zPdvXxmzsu8B5BStv68B0mcwznrSfhs1sSPDJ/1EWj4s0xzFwTSbzmOlJV5mMj91gy1sWsKz+AdNPhbC+/87quUkOrk05OB5CGb4DKgSZVyFc88CszKu1T/4XsnEcBJ6PdTOZx8oM9mOwv00ZpsEFo0Jd11FZ3DfTM9q/4Sh/FspSDxcwyO6+bR04PavXHXL4iWrP9I4hlDvwPjDL2z0g/YXA3qxsu6xej0NJo0FDXg5qjiRyBrHWJuHepgT9NGwQ3g5WrbWHcZ2bptf29jP8+6kItvzDuNoDwTqvwzP+3hDLlqustR8AwzJIMhv3UOkrWKewoSzrY9yb3zUhZjmMp/lBOPaLx+2k7d0/1WZCewMaip+A+3xHWGv/jXvYCbV9+3+zsVyLa2KxMYv5bsV1IpqZjcCVNrxveNNlrU0m/Tfuq61rshSYJxzn8DHcTfTC0EvruRt1/c1My0q+vJKTa+OZwLrajm1wb8RDkYz/+X4n6V+XdwA3hTDPD3C1HTJkXbOZjK6tc0n7+dfM/JHJPD8E0m3mmZ48ujZlxQlcoKShtTbNsqyrhXc18EmI8zsE+H4S/hHS/9LXQdxnqzNkrV1PzmsD5YbPgDGRLkR2WWu/wdW6CnXbnsTtszOKtXYhrp+h9CwC5oR5mRtxtRjT/F1MR26fxyK5TkEYkTOM54H/fNxN98e4N1sncG+B/4tr0jES1+dB84C8s3HVWz/GVU8+CvyA+0TkFaT/EO87j29wb8qm4trensBVH34RV302Nz9dmyXW2tG4G9oluPU9jGs6Mcha25u0HQuH+gAXbFk/Wmub4N6mTMQ9TO3C3Ugdxd08zMM17ano+7Afpv3yOa6pwvu4N0bHcYGFUbhmPendmKe6E/egNhX3ZjK1SvgJXHOIT3CBnsustWk6rrXWjsNVjR+NC0alduR8BPcpzvdwTbfOt9b6Pmz9hKtC/Aju5vQn3MPkadwN6He4Y6uBtTbL1ZyttSestYNwVbxfBn7GHQcncefOh7jOMutaa3/M6vxzKLDj3czGh+tY2WOt7YS7qZ2OO04O4vb1f3HNex4moN8aa+1Ra+0AoAGuedJ3uAfA1G25Bvep8/mZlSE35OTaeCbwBN4a4joVfgv3RvoI7jzajdu+k3DBpvLW51O61tqfcM3IXsMFXU7i+o6Zgnvw+zmE5Z/EHUOTcNerdIPSnvO9G66512HP8DWuSep1ZNzRZnrzHI2rVfgR7hp2DPf35C6gk7X2eFbn6VPW7FybcuI07lzcgVuHd3DB6yrW2luttUcyKO8ua+1VQHvc/vwFF2w5hdsuX+Gu0z1xNfe+9sm7E3cMPYe7hp/EXb9nAZdbawP7dkpPD9z2+onMO4jOqZ64pngzccdQ6n3Fcdw6LMDVnGjpCUSftazr7yYR12fKv3HH4w7c+h7DnbOLcB21V7HWZtZpekRYax/HBfM/xf3tOIw7Lu/AXZ/C3uGwtfYrXGfNA3D3OX/w1z3KDlzfMeNxf9cqh3v5InnNuJdfIiLnFmNMNdxDpG+ng12ste9HqEgiIiIiIvI3p5owInLWMsbMN8bcaoyp5DMuyhjTDPdm0jcAk1rbQ0REREREJCJUE0ZEzlrGmD/462sEhzxDCVznpL5SgOustYF9xIiIiIiIiOQZfaJaRM4VRT1DoH3AYAVgREREREQk0lQTRkTOWsaYq3Ed8zYFygOlcbVe9uA6S/wYeM1am95XRURERERERPKMgjAiIiIiIiIiInlAHfOKiIiIiIiIiOQBBWFERERERERERPKAgjAiIiIiIiIiInlAQRgRERERERERkTygIIyIiIiIiIiISB5QEEZEREREREREJA8oCCMiIiIiIiIikgcUhBERERERERERyQMKwoiIiIiIiIiI5IGYSBdARERERORct27duj5RUVFjUlJSKgIm0uURETkbGWMOGGMWpKSkjKxfv/5PkS5PdhhrbaTLICIiIiJyzlq3bl1dY8ya8uXLFypUqBDGKAYjIpJV1lpOnTrFgQMH7J49ew4dPHiwaevWrb+LdLmySs2RRERERERyUVRU1LOlSpUqULhwYQVgRESyyRhDvnz5KFWqlDnvvPOK7tu3b05iYmK5SJcrqxSEERERERHJRdbaS4oWLar7bhGRMImNjTXlypWrDgxJTEw8q6Lb+mMgIiIiIpKLrLXFY2LUFaOISLjExMQQExOTHygHlI90ebJCQRgRERERkdxl1AxJRCR8fK6pKUCJCBYlyxSEEREREREREZGz1VkV5VYQRkREREREREQkDygIIyIiIiIiIiKSBxSEERERERERERHJAwrCiIiIiIiIiIjkAQVhRERERERERETygIIwIiIiIiIiIiJ5QEEYEREREREREZE8oCCMiIiIiIiIiEgeUBBGRERERERERCQPKAgjIiIiIiIiIpIHFIQREREREREREckDCsKcpa6++moLaNCgQYMGDRo0aDjzB5GzSseOHalTp06ki3FOWLFiBW3btqVChQrExsYya9asPC9DUlJSxJad26666qqBzz///AYif50P+bofE44Vl7y3e/fuSBdBRERERPJQ7NfvR7oIfvZfek228yYlJdGpUydGjhzJHXfcEcZSnZnGjBnD2LFjvb+NMcTGxlK3bl0GDx5Mhw4dIli6vLVv3z6ef/55mjdvTosWLSJdnHRt3bqVunXrMmjQIMaPH5+teezdu5e+fftSoUIFRo0aReHChWnYsGGYS+qsX7+ehQsXcsMNN1ClSpVcWYaEh4IwIiIiIiIieWDYsGFUqVKFU6dO8dtvvzFt2jR69+7N1KlTue666yJdPK958+Zhbe5U4tq/fz9jx47lwQcfPKODMOHw1VdfsX//fiZNmsQ112Q/aDLyt58AACAASURBVBmKDRs2MHbsWJo3b54mCNOsWTN27NhBvnz5crUMEhoFYURERERERHLg4MGDFCtWLNN07dq147LLLvP+7tKlC82bN+epp546o4Iw+fPnDyldqOudl86kMu3cuROA8847L6LliIqKomDBghEtg/xFfcKIiIiIiMgZa9WqVXTp0oVKlSpRpkwZWrRowWuvveaXZuzYscTGxrJlyxbvuO3btxMbG0uJEiXYs2ePd/zGjRuJjY1lwoQJfvP49NNP6dq1K5UrVyY+Pp6mTZvy8ssvpylPnTp16NixI99++y3dunWjUqVKNG3aNFvrVqdOHUqVKsWmTZvSTPvqq6/o06cPVatWJS4ujvr16zNu3DhOnTrll+7HH3/kpptuombNmsTFxVGjRg06derERx995E0za9YsYmNj+fTTTxkzZgy1a9cmLi6Opk2b8vbbb6dZdrA+YVLH/fbbb9x4441UqVKFihUrApCSksK4ceNITEykRo0alC5dmlq1anH33Xf7bfukpCTq1q0L/LXPYmNj/ZZ16tQpJkyYQMOGDYmPjychIYE+ffrw/fff+5Vn69atxMbGMmbMGObOnUvLli0pU6YM999/Pw888ACxsbFBt+v27dspWbIk//d//5fufslIbGwsgwcP5osvvqBDhw6UK1eOhIQEhgwZwqFDh7zp6tSpw6233gpAp06dvOua6vjx44wfP55GjRoRHx9P5cqV6dmzJ99++22aZVprmT59Om3atKF8+fKUL1+eJk2a8MQTTwCuudttt92WZlmDBw/2bvdgfcIcPnyYESNGcMkll3iPnVtuuYXff//dL51v/pkzZ9KoUSPi4uKoXbs2Tz/9dJryfv755/To0YMaNWoQHx9PzZo1ufbaa/nyyy+zs8nPOaoJIyIiIiIiZ6QPPviAPn36UKZMGYYMGULRokWZO3cut99+O1u2bOHRRx8FoGXLlowZM4YVK1aQkJAAwPLly4mKiiIlJYWkpCS6dOkCuI5SU/OkmjZtGnfffTeXX3459957L4ULF2bZsmXcc889/Pbbb4waNcqvXNu2baNz58507dqVa665hsOHD2dr/fbu3cvevXuJj4/3G//RRx/Rt29fqlWrxpAhQzjvvPP48ssvGT16NBs2bPAGofbs2UPnzp0BGDBgAJUqVSI5OZmvv/6atWvX0r59e7/5Dh8+nCNHjjBw4EDABWcGDhzI8ePH6dOnT6blPXToEB07dqRRo0Y88sgj3n4qT5w4wbPPPkvnzp3p0KEDhQsX5quvvmLGjBmsWbOG5cuXkz9/fi688ELGjBnD0KFD6dSpk7eJTpEiRbzL+Oc//8m8efO44oorGDhwIDt27GDq1KlceeWVfPDBB1xyySV+ZVq4cCFTpkxh4MCBDBgwgGLFinHRRRcxZcoUZsyYwYgRI/zSv/7665w+fZqbbrop0/VNz4YNG7j++uvp06cP1157LStXrmTGjBlERUUxceJEwAVGPvnkE6ZPn869997LhRde6M1/8uRJevToweeff07Pnj0ZNGgQBw4c4NVXX6V9+/YsWrTIr8bUzTffzJw5c2jQoAH33nsvsbGx/PLLL7z33nsMGzaMzp07s3379jTLqlq1arrrcPLkSbp3786aNWvo0qULQ4YMYfPmzbz88sssXbqUZcuWUaFCBb88r7zyCjt37uSmm24iNjaWN998k+HDh1OhQgVvTa5ffvmFrl27Eh8fz6233kp8fDw7d+5kzZo1bNiwgcsvvzzb2/1coSCMiIiIiIiccU6fPs19991H0aJFWbp0KeXKlQNg0KBBdOrUiQkTJtCnTx+qV6/O5ZdfTuHChVmxYoX34XrFihXUqVOHY8eOsXz5cm8QZvny5cTGxlKvXj3A1Yx44IEH6NGjh1/Nl0GDBvHAAw/w3HPPMXDgQL8H2q1btzJx4kT69euXpXU6cOAAycnJ3j5hRo0aRUpKCtdff703zbFjxxgyZAgNGjRg/vz5xMS4R7YBAwZQu3ZtHnroIZKSkmjRogVr1qxh165dTJs2je7du2e6/D179rBq1SpvjYwBAwbQrFkzHnroIbp3706hQoUyzf+vf/2LRx55xG98gQIF2Lhxo1/+gQMH0qhRI26//XYWLFhA9+7diY+Pp2PHjgwdOpTatWvTs2dPv/ksXbqUefPm0a1bN6ZNm4YxBoBu3brRqlUrHnjgAT788EO/PD/++COfffaZX5ADoGHDhrzxxhs88sgjREdHe8fPnDmTCy+8kEaNGmW6vdLz3XffsXjxYho0aAC47Xjw4EFmzZrF6NGjKVq0KJ06dWL//v1Mnz6dK664wq//mxdffJGkpCTmzp1Lu3btvOP/+c9/0qRJEx555BEWLlwIwDvvvMOcOXPo2bMnU6ZMISrqr8YsKSkpANSuXZuGDRsGXVZ6Zs2axZo1a7jjjjsYOXKkd3zr1q25/vrreeyxx3jxxRf98vzxxx988cUX3uOnb9++1K5dmxdeeMEbhFmyZAlHjhzhlVdeoX79+lnarn8Xao4kIiIiIiJnnG+++YZt27bRt29fbwAGXH8ld955JykpKd4H1Xz58tG4cWOSkpK86VasWEGrVq1o1aoVy5cvB1yzjlWrVtGsWTPvg/l7773H8ePHufHGG0lOTvYbrr76alJSUli2bJlf2c477zz69u2b5XXq0qUL1apV44ILLqB9+/Z88cUX3HXXXQwfPtyb5tNPP2Xnzp306dOH/fv3+5XnqquuAlywAqB48eIALF68mAMHDmS6/AEDBvg1iYmNjeUf//gH+/btY+XKlSGtw+23355mnDHGG4A5ffo0+/btIzk52VvbaN26dSHNe8GCBQD861//8gZgwDXtSUxMZPXq1Wm+Etu+ffs0ARiA/v37s337dj7++GPvuFWrVrFp0yZuvPHGkMqTnoYNG3oDMKlatmzJqVOn0jTlCebNN9/kggsu4NJLL/XbvydPnqR169asXr2ao0ePAvDWW28BMGrUKL8ADJDmd1YsWLCAqKgo7rnnHr/x7du3p06dOixatMgb5EnVp08fv+OncOHCXH755X7NvlKPyYULF3Ls2LFsl+9cppowIiIiIiJyxknt36VmzZpppqWO8+0DpmXLlixdupSNGzeSP39+fv/9d1q1asXRo0d58cUX+d///sfu3bvZs2ePX1OkjRs3AnhrygSza9cuv99Vq1b1q10RqvHjx3P++edz9OhRkpKSmDJlCvv27fPWdvEtT0Z9lqR2+Nq8eXN69+7NrFmzmDNnDpdddhmtW7eme/fuQbdbsGBFsG2ZntKlS1OiRImg09555x0mTZrE+vXrOXnypN+0ffv2ZTpvcDWMoqKi0i3nggUL2Lp1K6VLl/aOr169etB5de/enaFDhzJjxgwSExMBmDFjBvnz56d3794hlSc9qU3efJUsWRLArw+c9Pz8888cPXqUatWqpZsmOTmZihUrsmnTJsqWLZumyVpObd26lXLlygXtNPiiiy5iw4YNJCcnExcX5x2f3nr7rnOPHj148803+c9//sPkyZNp0KABbdu2pUePHlSuXDms63C2UhBGRERERETOeqmBlRUrVpA/f37y5ctHkyZNOHHiBFFRUSxfvpzk5GS/tID3U8wvvPACZcqUCTrvwIfPwoULZ6uM9evX9/b10aFDB+Li4njssceoW7eut5+W1PKMHDkyTee4qXxrBk2ZMoU77riDTz75hNWrVzNp0iTGjx/P2LFjufnmm7NVzvSkt97vv/8+//jHP6hfvz5jx46lYsWKFChQgNOnT9OjR480NSryokyFChXi+uuvZ9q0aezcuZOCBQvy3nvvkZiY6BfEyY6MAnChfNrbWkutWrW8HesGk9My5oZQAo8FChTgvffeY926dSxZsoRVq1YxevRoxo4dy9SpU719GP2dKQgjIiIiIiJnnNTAx08//ZRmWmptEd/gSL169YiNjWXZsmUUKFCABg0aUKRIEYoUKULdunVZvnw5e/fuJS4ujosvvtibL7UmRalSpbjiiityb4WCuP3225kxYwajRo3iuuuuo3jx4t7yFC5cOOTyXHzxxVx88cXceeed7Nu3j7Zt2zJixAgGDRrk16xn48aNdOzY0S9v6vYNVsshVG+++SYFCxZkwYIFfkGRn3/+OU1a3/IESkhIICUlhY0bN1K7du2g5axSpUrI5erfvz8vvfQSr7/+OsWLF+fIkSM56pA3XKpXr87u3btp1apVpk2Kzj//fBYuXMjOnTszrA2T0XYNJiEhgcWLF7Nv3740tZt++uknihcvTqlSpbI0T1/169f39gnzxx9/0KJFC0aNGqUgDOoTRkREREREzkD16tWjUqVKzJw5kx07dnjHnzx5kokTJ2KM8QsoREdH06xZM1atWkVSUpJfbZeWLVuyfPlyPvvsM5o3b+73wNqtWzcKFCjA6NGjvf1w+Nq/fz/Hjx/PlXXMly8f9957L3v27OGFF14AoG3btsTFxfH0008Hbdpy9OhRDh48CLimL4G1TEqUKEGVKlU4cuRImj45XnnlFfbv3+/9vX//fqZNm0ZsbCzNmjXL9npERUVhjPEri7WWcePGpUlbtGhRwH0ZKlDq/nzqqaf8apT88MMPfPDBBzRp0iRLNURq165N/fr1mTlzJjNmzKBSpUq0adMm5Py5pVevXuzYsYNJkyYFnZ7a3Azwdnj76KOPptnXvtso9QtTwbZrMB07diQlJSXNp9o/+eQT1q9fT2JiYrb6nEmtbearQoUKlC5dOuSynetUE0ZERERERCJi+fLlQQMcJUuWZODAgYwbN44+ffpwxRVX0L9/f4oWLco777zDl19+yb333pumP5CWLVuyaNEi7/9TtWrVyvvpYN/x4B4Qn3rqKW6//XYaNmxIz549qVSpErt37+aHH35g4cKFfP7551mqgZEVvXr14sknn2TSpEnccsstFC9enClTptCnTx8aNGjg/VT1/v37+fnnn5k/fz6zZs2iRYsWzJ49m8mTJ9OpUyeqVatGTEwMq1atYsmSJXTr1i3N145KlixJ27ZtvZ+jnjVrFtu2bePZZ5/NdhMrcP3pvP/++3Tu3JnevXtz8uRJFi5cyJEjR9KkLVmyJNWqVWPu3LlUrVqVuLg4ihQpQmJiIm3atKFbt27MnTuXffv2cfXVV7Njxw5eeuklChYsyJNPPpnlsvXv39/bmfCDDz6Yo85sw2Xw4MF8+umnPPLII6xYsYKWLVtSrFgx/vjjD5YvX+6tVQQuSPj+++/zxhtvsGnTJhITEylRogSbNm1iyZIlrFmzBoDLLruMqKgoxo8fz759+yhcuDAJCQlpOhBO1adPH9544w2efvppfv/9d5o2bcpvv/3G1KlTiY+P937+PavGjRvH0qVLad++PVWqVMFay4cffsjPP//MnXfemb0Ndo5REEZERERERCJi8eLFLF68OM34GjVqMHDgQBITE3n//fcZN24cEydO5MSJE1xwwQU8++yzQZuVpAZYChUqRMOGDb3jmzRpQr58+Th58iStWrVKk69v376cf/75PPvss0ybNo39+/dTqlQpatSowbBhw9LtKyYcYmJiuPvuu7n77ruZPHkyDz74IO3atePTTz9lwoQJzJkzh927d1OiRAmqVq3KkCFDqFWrFuA65l2/fj0ffvghO3bsIDo6mipVqjBq1Kig/cE89thjrF69mqlTp7Jz507OP/98pk6d6q1tkV3XXnsthw4dYvLkyTz88MOUKFGCq6++mhEjRvh92jvV1KlTGTp0KI8//jhHjhyhcuXK3s5zp06dyiWXXMLrr7/OsGHDKFy4MM2bN2fYsGHe9c6KHj16MGzYMA4dOuQNPkVavnz5eOutt5g6dSqzZ89mzJgxAJQtW5b69eun6Tj45ZdfpmnTprz22mv8+9//9u7nrl27etNUqlSJ5557jqeffpp77rmHkydPcsMNN6QbhMmXLx/vvPMO48aN45133mH+/PnExsbStWtXHn74YSpWrJitdevYsSPbt2/n3Xff9fbFU716dSZOnHhGNAU7E5hQOg6SM0+DBg3s2rVrI10MEREREcnEunXrqFGjRqSLIX9js2bN4rbbbmPBggW0aNEi0sXJU8ePH+eCCy7gsssuY968eZEujoTRL7/8wooVK+jWrVuO+jTKJel20hP5ulgiIiIiIiIiuWDOnDns27eP/v37R7ooIoCaI4mIiIiIiMg55oMPPmDbtm2MGTOGmjVr0qlTp0gXSQRQEEZERERERETOMffffz9//vkn9erV49lnnyU6OjrSRRIBFIQRERERERE5p/Xp0+eM6ZQ2r2zYsCHSRRAJSn3CiIiIiIiIiIjkAQVhRERERERERETygIIwIiIiIiIiIiJ5QEEYEREREREREZE8oCCMiIiIiIiIiEgeUBBGRERERERERCQPKAgjIiIiIiIiIpIHFISRPPPlZ+sjXQQRERERERGRiFEQRvLMpCdfI3nX3kgXQ0RERETOUrNmzSI2NpakpKQ8X3ZsbCyDBw/O8+X6SkpKIjY2llmzZuXaMsaMGUNsbCxbt27NtWWI/J3FRLoA8vdxYN8hnhr5Ck9MvDfSRRERERE568ROeTTSRfCz/9bHs503KSmJTp06eX9HRUVRrFgxypcvT7169bj22mtp27YtxphwFPVvadasWdx2223e3zExMRQrVoxKlSpRv359evXqRePGjSNYQpG/JwVhJM8ULFSA16e+R//BPahxUUKkiyMiIiIiEXbttddy1VVXYa3l4MGD/PrrryxcuJA33niD1q1b8+qrr1KiRAlv+l69etGjRw/y588fwVKfXW699VYuu+wyUlJSOHDgAD/88APz589n2rRpXHfddUyePNlve953333cfffdFChQIIKlFjl3KQgjeaZ5k6tYuXQtox6cxKvvjY90cUREREQkwi655BJ69uzpN2706NE8+uijTJo0iYEDBzJ37lzvtOjoaKKjo8NaBmsthw8fpmjRokGnHzx4kGLFioV1mXmpSZMmdO3a1W/c2LFjGTJkCG+99RbFihVjwoQJ3mkxMTHExOgxUSS3qE8YyTNFoyrSvHUTln6wmhWLv4h0cURERETkDBQdHc0TTzxBkyZNWLx4MatXr/ZOC9YnzMGDBxk5ciRt2rShatWqxMXFUa9ePYYPH86RI0f85u3bp8pLL71Ew4YNiY+P59lnn2Xr1q3ExsYyZswY5s6dS8uWLSlTpgz333+/3zy++OILOnToQLly5UhISGDIkCEcOnQozXps376du+++m1q1alG6dGkuvPBC7rjjDnbt2uWX7s8//2TYsGE0b96cypUrEx8fT8OGDZkwYQKnT58OxyZNo1ChQjz//PMkJCTw6quv+vX/EqxPmD179jB06FAuueQS4uPjSUhIoGXLljzzzDNp5j137lzat29PhQoVKFu2LG3atOHdd98Nmq5Xr17UqlWLuLg4qlatyg033MB3332XJu3nn39Ojx49qFGjBvHx8dSsWZNrr72WL7/80i/d/v37efTRR6lXrx5xcXFUq1aNAQMG8Ntvv/mlO3bsGGPGjKF+/fqULVuWypUr06RJEx5++OEsb0uRrFKIU/KOgdpV2vFlwXWMeuA5PvyyAVFRigOKiIiISFo33ngjq1ev5qOPPqJJkybppvvzzz957bXXuOaaa7juuuuIiYlh5cqVPPPMM6xfv5558+alyfP888+zZ88e+vXrR3x8PBUrVvROW7hwIVOmTGHgwIEMGDDArxbMhg0buP766+nTpw/XXnstK1euZMaMGURFRTFx4kRvum3btnHllVdy4sQJbrzxRqpWrcrmzZt55ZVXSEpKYtmyZcTGxgLw/fff8/7779O5c2eqVq3KyZMnWbx4MSNGjGDLli1BAx3hkD9/fnr16sXYsWNZsmQJAwYMSDdtv379+OyzzxgwYAC1atXi2LFjbNy4kZUrV3LnnXd6040cOZLx48fTrl07hg0bRlRUFAsWLKBfv36MHz+eQYMGedO+9NJLlCxZkv79+xMfH89vv/3G9OnTad++PStWrKB69eoA/PLLL3Tt2pX4+HhuvfVW4uPj2blzJ2vWrGHDhg1cfvnlgAvAXHXVVfzxxx/07duXmjVrsmPHDqZOnUrbtm1ZtmwZlStXBuDee+9l5syZ9O7dm//7v//j9OnTbNq0iRUrVuTGphbxoyCM5JmCJQ/DL0Xo0LET8+a+w5vTF9B7wDWRLpaIiIiInIFq1aoFwK+//pphuoSEBH744Qfy5cvnHTdo0CBGjRrFuHHjWLduHfXr1/fLs23bNtauXUtcXJx3XGrNjx9//JHPPvuMCy+8MM2yvvvuOxYvXkyDBg0AGDBgAAcPHmTWrFmMHj3a26Tp/vvv5+TJkyQlJVGhQgVv/q5du9KuXTsmT57M0KFDAWjWrBnr16/364T4tttu4+abb+a1115j6NChlC1bNvMNlg2p23jTpk3pptm/fz8rVqxg4MCBjBs3Lt1033zzDePHj+eee+5h+PDh3vG33norN9xwA4899hi9evXyBrXmzp1LkSJF/ObRu3dvmjdvznPPPcdTTz0FwJIlSzhy5AivvPJKmv3oa/To0WzZsoXFixdTp04d7/gbbriBpk2bMmbMGJ5//nkAFixYwJVXXsmUKVPSnZ9IblE1BMkzP2xbRvHS+ShT8DLKlo9n/IipHD50JPOMIiIiIvK3k/qwfvDgwQzT5c+f3xuAOXXqFHv37iU5OZnWrVsDsHbt2jR5evfu7ReA8dW+ffugARiAhg0begMwqVq2bMmpU6f4/fffARe0+PDDD0lMTKRgwYIkJyd7hypVqlCtWjWWLl3qzV+oUCFvAObEiRPs2bOH5ORk2rZtS0pKCl9//XWG658Tqdv4wIED6aYpVKgQBQoUYO3atRl+tvqtt97CGMMNN9zgt87JyckkJiZy8OBBvvjiry4JUgMw1loOHDhAcnIypUuXpkaNGn77rHjx4oCroXTs2LGgy7bWMmfOHJo2bUr58uX9ll2kSBEaNGjgt82LFy/OTz/9xA8//BDCVhIJL9WEkTxTv8GlfL3qa2JSanN1u65Mf+1Fnvv3TO5//OZIF01EREREzjCpwZdQOsV96aWXmDZtGj/++CMpKSl+0/bt25cmfWpTl2AympaQkJBmXMmSJQHXbwq4mjspKSnMmDGDGTNmZDqfU6dOMWHCBN544w02b96MtTbT8odL6jZODXQEkz9/fsaMGcODDz5I3bp1qVmzJi1btqRjx47eQBfAxo0bsdamCVL58u0P59tvv+WJJ55g5cqVHD582C9dlSpVvP/v0aMHb775Jv/5z3+YPHkyDRo0oG3btvTo0cPbvGj37t3s2bOHpUuXUq1ataDL9u0GYezYsdxyyy00adKEhIQEWrRoQWJiIomJieouQXKdgjCSZ86LLcWpfGspWyWK3VurUa9+bV56ZjY33tyVchXjI108ERERETmDfP/99wDUqFEjw3STJk1i2LBhtGnThltuuYVy5cqRL18+/vzzTwYPHpwmKANQuHDhdOeX0bSMvsyUGjxJ/bdnz5707t07aNpChQp5///QQw/xwgsv0L17d/71r38RFxdHTEwM3377LcOHDw9a/nBJ3cbnn39+hukGDhxIx44d+eijj1i1ahXvvfceL774It27d2fatGmAW29jDG+//Xa62+miiy4CXHOwDh06UKxYMe677z5q1KhB4cKFMcYwdOhQv6BMgQIFeO+991i3bh1Llixh1apVjB49mrFjxzJ16lQ6d+7s3eatW7fmrrvuynS9O3bsyPr16/nkk09YuXIly5YtY8aMGTRt2pT33ntPn0CXXKUgjOSpepdcyvKlH1I+pj0N63ZkwzfjGfvwFJ6Z/mikiyYiIiIiZ5DUWiTt27fPMN3s2bOpXLkyc+fO9avFsHjx4lwtX3qqVauGMYYTJ05wxRVXZJp+9uzZNGvWzBvMSLV58+bcKiLgmj7Nnj2b6Oho2rZtm2n6smXL0q9fP/r168fp06e5+eabefvttxkyZAj169enevXqLF68mEqVKqXbnCvVggULOHToEG+88QYtW7b0m7Znzx4KFCiQJk/9+vW9fcL88ccftGjRglGjRtG5c2dKly5NbGwsBw8eDGmbg6vB1LNnT3r27Im1luHDh/PMM8+wcOFCunXrFtI8RLJDda0kT8VE56d6zfIUr3yYqGPncWX7Nsx742O+XfdjpIsmIiIiImeA06dPM2zYMFavXs1VV11F48aNM0wfHR2NMcavGU9qE59IKFmyJFdddRXz589P8wllcDVGdu/e7f0dHR2dpgnS4cOHmTx5cq6V8ejRowwePJgtW7bwj3/8w9usJ5gjR46k+dR3dHS0t1PfvXv3Aq7mD8Djjz8e9NPaO3fu9MsPpFnv6dOns2PHDr9xycnJaeZVoUIFSpcu7V12VFQU119/PevWrQv6OWz4qynU6dOn0zTxMsZQt25dv/URyS2qCSN5rkrFqnz00UdcGHsdCTHNKR67hsfve5a5S3PvD42IiIiInHm+/fZb3nzzTcD1T/Lrr7+ycOFCfv/9d9q0acPUqVMznUeXLl147LHH6NGjB507d+bgwYO8/fbbxMRE7lHnqaee4uqrryYxMZFevXpxySWXkJKSwpYtW1i4cCG9e/f2fh2pS5cuTJs2jf79+9O6dWt27drFjBkzvH3N5NTq1as5fvy4twPcH374gfnz57N792569uzJ2LFjM8z/66+/0rFjRzp16sRFF11EiRIl2LhxI6+88gpVqlShadOmgKupMnToUMaMGUPz5s3p2rUrZcuWZceOHXzzzTd8/PHH3uBTu3btKFy4MLfccguDBg2iRIkSfP7553z88cdUrVrVL4gzbtw4li5dSvv27alSpQrWWj788EN+/vlnv89jP/LII6xZs4b+/fvTrVs3Lr/8+aWHwwAAIABJREFUcvLly8e2bdv45JNPqFevHs8//zwHDx7kwgsvJDExkbp16xIXF8fWrVt5+eWXKVGiBImJiWHZ7iLpURBG8pwxUTRucjl/bv4F9lelQ4cuvPH6TBa98ykduodWfVBEREREzn5vv/02b7/9NlFRURQtWpTy5cvTrFkzJkyYQLt27UKax5133om1lhkzZvDggw9SpkwZunXrRt++fWnYsGEur0FwFStWZPny5UyYMIFFixYxZ84cChYsSIUKFUhMTPRr7pL6aet3332XRYsWUaFCBfr3789ll11Gly5dclyW1M8wR0dHU7RoUSpXrkznzp3p3bs3jRo1Cmld+vbtS1JSEgsXLuT48eOUK1eOfv36cdddd/n1ofPggw9y6aWXMmXKFCZPnsyRI0eIi4vjoosu4sknn/Smq1atGm+//TaPP/44Tz31FNHR0TRq1IhFixZx3333eb80Ba7/lu3bt/Puu++yc+dOChYsSPXq1Zk4cSI33XSTN11sbCwff/wxkyZNYt68eSxatIiYmBjKly9P48aN6devH+D6/Bk8eDDLly9n2bJlHD58mLJly9KhQwfuueceypUrl+NtLpIRE1gFTM4ODRo0sME+t3cmS1r8BXuS/6r6t2r1CqoW7kjyf0+w5KuXOHnqBEu/nUX+/PkiWEoRERGR8Fq3bl2mncuKiEjW/PLLL6xYsYJu3boF/XJZhJn0JqhPGImYBvUvZ9OepUSZKFo36cLWTf9l+uS5kS6WiIiIiIiISK5QEEYipkD+QpSpXJRSVU8Rc7wsLa5oysTR09mbvD/SRRMREREREREJOwVhJKKqV72Ab7csokDhaGpVbsvx4yeYMOqVSBdLREREREREJOwUhJGIio6K5rLL6xBd+n9woggdOnZk5ovvsvnn3zPPLCIiIiIiInIWURBGIq50yTJs3f0lJeLzEV+gPqXjSzLqweciXSwRERERERGRsFIQRiLOGEPjxo358/gaSImmfdvufLJgJZ8tWxfpoomIiIiIiIiEjYIwckYoVLAIBc87QekEQ8GTCVzaoA4j759ESkpKpIsmIiIiIiIiEhYKwsgZ4+Katfnuj0XE5I+iYe2O/LhhE2/P/CDSxRIREREREREJi3MyCGOMKWWM+acxZp4x5ldjzFFjzH5jzEpjzEBjTFRA+gRjjM1gmJ3BsvoZY74wxhzyLGOZMaZTBumjjTF3G2PWe8q1xxizyBjTNJzb4GwUHRXDxXWrU6TCPszxElx5dTv+/eiLHD1yLNJFExEREREREcmxczIIA1wHvAQ0Aj4HngbmArWBqcAcY4wJku9b4LEgw9vBFmKMGQ9MB8p5ljcTqAPMN8YMCZLeALOBp4D8wCRgHtASWGGM6ZKttT2HlCtbgZ/+u4xiJfNR9bxmHD96gufHz4p0sURERERERERyLCbSBcglPwPXAAuttd5ORYwxDwFfAD2A7rjAjK9vrLUjQlmAp+bKvcAm4HJr7V7P+HHAOmC8MWaBtXaLT7ZewLXAZ0Bba+0xT54pwErgJWPMUmvtwayt7rnDEEWTpo3Y8sN3cPpCOiR2ZcpTr3PDP6+hbPm4SBdPREREREREJNvOyZow1tql1tr5vgEYz/jtwBTPz9Y5XMytnn+fSA3AeJaxBXgOKAD8IyDPYM+/D6cGYDx5vgTeBOJwQZq/taKFi3Ms6k9KV4qmmK1Jxcrl+fejL0a6WCIiIiIiIiI5ck4GYTJx0vPvqSDTyhtjbjHGPOT5t24G82nj+ffDINM+CEiDMaYg0BQ4AiSFkufvrN4ll7Jx1ydER0fTqkkX5s78kO++/jnSxRIRERGRc1hSUhKxsbHMmpU3zeFnzZpFbGwsSUnBHg/SyuvyiUj4navNkYIyxsQAN3l+BgueXOkZfPMsA/pZa3/3GVcEqAAcstb+GWQ+v3j+vcBnXHUgGthsrQ0WAAqW528rJjo/VWrEk//wUfZsLkPz1k0Y+cCzvPnxs5EumoiIiEhEfPrBmkgXwc8ViY1zlD8pKYlOndz3LAYNGsT48ePTpNm1axcXXXQRJ0+epHnz5ixcuDBHyzwbrF+/noULF3LDDTdQpUqVSBdHRMLs71YTZiyuc95F1tqPfMYfAUYC9YHzPEMr4FNcs6UlnsBLqljPv/vTWU7q+BI5zOPHGHOzMWatMWbtrl270kt2zqhSsSrfb/uYQkVjuLhiW77+4gc+ej+0twQiIiIicnYoWLAgb731FsePH08zbfbs2VhriYnJm3fHzZo1Y8eOHfTq1StPlterVy927NhBs2bNvOM2bNjA2LFj+f3339Okz+vyiUj4/W2CMMaYO3Ad6f4E3Og7zVq701r7qLX2K2vtPs+wArgK93Wl84F/5nmhA1hrX7TWNrDWNoiLO/c7qTUmigYNL+P0/7N35+E1Xfsfx9/7nMwySCSECBkQQ0IRQ9VQQ81qqkvF0Ort9ONqq9qiA6qX3kvRWdVtlWtoqds2bQ01XUlNNaQoNQ81BEmIECHD/v2R4YoECdEjyef1POc5zt5r7f1Zp8+Tp/lm7bU8DkOqC527dGHi6A9JTc1vIpGIiIiIFEddu3bl/Pnz+c5ymTdvHu3bt8fR0fFPyWKxWHBycsJqtf4p97NarTg5OWGxFOzXsj87n4gUvVJRhMnaLvpdYDfQ2jTNhIL0y3psaFbWx5bXnMqeteJB/rKPn7/DPqWep0c5zibvwbOiPT4ODbiSksrcT/5j61giIiIiUkTq1atHaGhonnVOtm7dyp49e4iIiMi337Zt24iIiCAwMBAfHx8aNmzI5MmTSUvL/Qe7Ll26EBYWxqlTpxgyZAhVqlTB19eXnj17cuDAgVxt81tz5dpj//73v2nSpAk+Pj6EhoYyffr0fLPNmjWLhg0b4uPjQ/369Zk5c2a+679cf2zSpEn83//9H5BZnPLw8MDDw4Nnn332hvkyMjL46KOPaNasGX5+flSuXJmGDRsydOhQUlNTEZF7S4lfE8YwjOeBacAuMreFPlPIS2Q/95PzOJJpmpcMwzgB+BmGUTGfdWGqZ71fu5LsQSAdCDIMwy6fdWHy6yNAeMNwtm1ah5t5Pw+16cG0tz6jV0QHynq62zqaiIiIiBSBAQMGMGbMGE6ePEmlSpUAmDt3Lj4+PnTs2DFP++XLlzNgwACCgoIYNmwYnp6e/PLLL0ycOJGdO3cyZ86cXO0vXbpEp06daNSoEW+88QZHjx5lxowZPProo2zcuLFAM0s+++wzzpw5w6BBg/Dw8ODLL79k7Nix+Pn50adPn5x206ZNY9y4cdSrV4+xY8dy+fJl3nvvPcqVK3fLe3Tr1o3Y2Fhmz57Niy++SEhICACBgYE37DNlyhT+/ve/06lTJx5//HGsVitHjx5l6dKlXLlyBXt7+1veV0T+PCW6CGMYxitkrgMTAzxkmmbcbVwme8WxQ9cdX03mY00dgc+vO9fpmjYAmKaZYhjGeqBF1mvNrfpIJkcHZ8pVcsT9agZxhwMIqhbIuxNnM3bycFtHExEREZEi0LdvX9544w3mz5/PyJEjuXz5MkuWLGHgwIF51oNJSUlh2LBhhIeHExkZmXN+yJAhhIaGMmbMGKKiomjRokVOn/j4eIYPH87zzz+fc8zb25s33niDNWvW0K5du1tmPH78OJs3b8bDI3MC+4ABAwgNDeWTTz7JKcIkJCTw9ttvU6dOHVasWIGTkxMAgwYNIjw8/Jb3CA0NpXHjxsyePZvWrVvnGsONREZGEhISwsKFC3MdHz9+/C37isifr8Q+jmQYxutkFmC2kjkD5oYFGMMwGhiGkee7MAyjLfBC1sd/X3d6Rtb7q4ZheF7TJwAYClwhb3Hm46z3t7K2rM7u0wjoS+asm69vOrBSKjiwBruOL8PByUKj2p2Y9+m3HDl43NaxRERERKQIeHl50alTJ+bPnw9kFhYSExMZOHBgnrZr1qzhzJkzREREkJiYSHx8fM6rffv2AKxenfvvmhaLhWeeeSbXsZYtM1cbOHTo+r+15i8iIiKnAAPg4uJCo0aNOHjwYK5sKSkpDBkyJKcAA1ChQoVcs2WKkoeHB6dOnWLDhg135foiUrRK5EwYwzAGA2+S+fhPFDDcMIzrmx0xTXN21r+nAtWzZqpk/2ZfF2iT9e/XTdNcf21n0zTXG4YxFRgB7DAMYzHgQGYxxQv4m2maR66750KgF/AIsN0wjEigXFYfK/CkaZoXbnfcJZnVYqVeg1pcij3L1aPlaN32QSaO/oiZX020dTQRERERKQIDBgygT58+bNiwgblz59KwYUNq1qyZp93evXsBGDp06A2vdeZM7hUIKlasmKsoApmFH8icvVIQAQEBeY55eXnl6n/06FEAqlevnqdtfseKwhtvvEH//v3p2LEjFStWpHnz5nTo0IHu3bvj4OBwV+4pIrevRBZhgOyHJq3A8zdo819gdta/5wI9gUZkPhZkD5wGvgI+ME0z332RTdN80TCMnWTOfHkKyAC2AZNN0/w+n/amYRiPAuuBIcDfgBRgHfDW9YUeyc3bqwK/7VpLsHd3qtg148sf32FTdAxNmt9n62giIiIicofatm1LpUqVePvtt4mKimLq1Kn5tjNNE4AJEyYQFhaWb5uKFSvm+nyzNV+yr3cr9+qORI0bNyYmJoZVq1YRFRVFVFQUixYtYvLkySxbtiyn2CQi94YSWYQxTXMcMK4Q7f8F/Os27zWb/xVzCtI+jcyFgqfdzv1KM8MwaNKkMXtituKQVpfOHXvw5kvv8/36WeQz00lEREREihGr1Uq/fv2YOnUqzs7OPPLII/m2Cw4OBjIfB2rduvWfGfGWqlSpAsD+/ftp1apVrnP79+8v0DVu5/9rXV1d6d69O927dwfg008/ZeTIkcydO5fnnnuu0NcTkbunxK4JIyWTs1MZ7N0v4V3VgltGCCnJqSyZt9zWsURERESkCAwZMoRRo0Yxbdo03N3z3wmzbdu2+Pj4MH369HwfJbp8+TJJSUl3O2q+2rRpg6OjI5999hkpKSk5x0+fPs2iRYsKdI0yZTI3ZT137lyB2sfHx+c5dt999xXqGiLy5ymRM2GkZKtdM5SoNcupYNeeVk2788+xM+ncuzXOzo62jiYiIiIid8Df35/Ro0fftE2ZMmWYMWMGERERhIeH52xVnZiYyL59+4iMjGTevHkF2lmoqHl5efHKK6/w5ptv0r59e/r27UtycjJffPEFwcHBbN++/ZYzXRo0aIDFYmHKlCmcP38eFxcXAgICbri7UqNGjWjUqBHh4eH4+voSGxvLF198gYODA717974bwxSRO6AijBQ7VosdNepUxTx3kXOHy1O9enVmTlvAc2Mes3U0EREREfkTtGvXjjVr1jBt2jS++uor4uLiKFu2LIGBgQwbNow6derYLNuLL76Iu7s7H3/8MePGjaNy5coMHz4c0zTZvn07zs7ON+3v7+/Phx9+yPTp0xkxYgSpqan079//hkWYYcOG8dNPPzFjxgwuXLiAj48P4eHhjBgx4oZr5oiI7RgFXYhK7i3h4eHmli1bbB2jUKJWbiYh/nyRXMskg9Wr1xLk2J1Lly+weOkHLN8ym/K+5Yrk+iIiIiJFZevWrXdtZxwpPl566SVmzpzJvn37qFChgq3jiBR7+/fvZ926dfTs2TPf3cts7IZT3rQmjBRLBhaaNA0nxXkvXHWhVas2TB4709axRERERKSUu3YtmGyxsbEsXLiQ2rVrqwAjUsrpcSQptlxd3Llk/I5f5RA4WZ8f13zEnh0HqFW3mq2jiYiIiEgpFR0dzeuvv063bt2oVKkSx44d44svvuDixYuMGzfO1vFExMZUhJFi7b6697Epeg1laUGblg8z4ZX3mb/0XVvHEhEREZFSKjAwkMDAQL744gsSEhJwcnLivvvuY8SIEffcltoi8udTEUaKNTurA36BnjgmpxJ/qCqXL25g1Y/radu5ma2jiYiIiEgpFBwczPz5820dQ0TuUVoTRoq9qv6B7D6xAqcyVhrW6sTbr80gLS3N1rFEREREREREclERRoo9w7DQILwehtdxjCseBAeFMG/Wd7aOJSIiIiIiIpKLijBSInh6lOP0xZ2UrWCPv/v9zP5wMRcSL9o6loiIiIiIiEgOFWGkxAgPb8SpKxsh3Z4m4a15f9IXto4kIiIiIiIikkNFGCkxHOyd8Chv4B0Abhk1+HnNdo4dPmnrWCIiIiIiIiKAijBSwgQH1WBP7HLsHe1oWq8zb782w9aRRERERERERAAVYaSEsVqshNargUvFBKxXfLh4LpWtG3fZOpaIiIiIiIiIijBS8nh7VeBQ3EbcvOwJqdSaf74xE9M0bR1LRERERERESjkVYaTEMQyDxk3CSbTugFRn/MoH8+2XK20dS0RERESK2LPPPouHh4etYxRKccx8LwkLC6NLly62jiFy2+xsHUDkbnB2LINR5gDezlY4Xo+5nyymY4+WODk52jqaiIiIyG3p33uIrSPkMv/rz26r38qVK+nduzcjR47k9ddfz3Xul19+oV27djg4OHD06FFcXFxyne/VqxerV6/m4MGDlCtX7razSybTNImMjGTevHls376dhIQEXFxcCAkJoWPHjjz++ON4eXnZOqZIiaKZMFJi1a5Zh/1xK7EYdtSpdj//eu8rW0cSERERKfWaNm2KnZ0d0dHRec6tW7cOOzs7rl69yqZNm3KdS0tLY+PGjdSuXbtYF2Dee+89Tp8+besYJCcn069fPwYOHMiRI0d47LHHmDZtGmPGjKFKlSr885//pHfv3raOKVLiaCaMlFhWix3BNf3gfDIZh6qwce339H3sHN7lPW0dTURERKTUcnV1pUGDBmzbto3k5ORcs12io6Np3bo1O3bsyPl3tm3btnHp0iWaN29ui9hFxt7eHnt7e1vH4IUXXmDZsmX87W9/480338Ri+d/f55955hliY2P55JNPbJhQpGTSTBgp0Sr6+rEvdg0ubnaEVG7Ju3//3NaRREREREq9Fi1acPXqVTZu3JhzLC0tjU2bNvHAAw/wwAMPEBUVlatP9ucWLVrkuV5iYiIvvPACwcHBlC9fnvbt27Nly5Y87S5dusS4ceOoV68ePj4+VK9enaeffppjx47ddtuoqCg8PDyYN28en3zyCQ0aNKB8+fI0aNAg3yJGfmvCZB8r6DgSEhIYOnQoAQEBVKpUia5du/Lrr7/SpUsXwsLC8rS/3q5du1i4cCGNGjViwoQJuQow2Xx9fRk7dmyefhEREQQEBFC+fHkaN27M9OnTSU9Pz9XuRjmOHj2Kh4cHkyZNuuPx7Nu3jz59+uDn54e/vz8DBw68J2YYidyKZsJIiWZgIbxxQ07uP4RxogrnEq+yZvlGWndoautoIiIiIqVWixYteOedd4iOjqZNmzZA7pkubm5ujBo1ikuXLlGmTBkgc5aMYRg88MADea7Xq1cvvL29eeWVV0hISODDDz+kT58+7NixAzc3NwBSU1Pp1asXGzdupHv37gwbNoxDhw7xr3/9i9WrV7N27Vr8/PwK3TbbJ598wpkzZ3j88cdxdXVl8eLFvPzyy5w7d45Ro0YV6HspyDiuXLnCww8/zM6dO4mIiKBBgwb89ttvdO/eHU/Pgs34/u677wAYPHgwhmEUqM+2bdvo0qUL9vb2/PWvf6VChQosXbqUsWPHsmvXLmbNmlWg61zvdsZz8uRJunTpQteuXXnzzTfZtWsXn3/+OUlJSXzzzTe3lUPkz6IijJR4ri7uJGVspmKlYDjdmPEvvk/q1VTad8v7VxQRERERufuaNm2Kg4NDrtkuUVFRuLq6Ur9+fdzd3UlNTWXjxo20bds2Z5ZMaGhovgvF1qtXj6lTp+Z8DgkJ4bHHHmPRokUMGZK5oPG8efPYuHEjw4cPZ8KECTltH3zwQf7yl78wfvx4Zs6cWei22Q4ePMjmzZtzijNPPvkkHTp0YPLkyQwcODBP0SY/BRnHnDlz2LlzJ6+99hovvfRSTtvatWszcuRIqlSpcsv77N69G6BAs2ayjRo1iitXrvDTTz8RGhoKwFNPPZWTb8CAATz44IMFvl622xnPoUOH+Pzzz+nVq1fOMYvFwqxZs9i/fz/Vq1cvdA6RP4seR5JSoV7d+zh2cR1k2PNQ08FMHjuLH75eY+tYIiIiIqWSs7Mz4eHhbN++nUuXLgGZM10aN26MnZ0dISEh+Pj45Czemz1LJr9HkQCGDh2a63OrVq2AzMJItu+//x6LxcKIESNyte3QoQNhYWH8+OOPZGRkFLpttuxHY7I5ODgwdOhQ0tLSWLp0aYG+l4KMY9myZVitVp599tlcbQcPHlzgra+TkpIAcmbX3MrZs2fZtGkTnTp1yinAABiGwciRI4HM7+x23M54KlasmKsAA9CyZUsg93clci9SEUZKBTurA75V3PAOSIdUZ1rfN4gP/zmf/8xfbutoIiIiIqVSixYtSE1NZcOGDbnWg8nWrFmznJky2e83WpQ3ICAg1+fs2TLnzp3LOXb06FEqVqyY7yMutWrVIikpifj4+EK3zRYSEpKnbfaxI0eO5Jv7Tsbh6uqaq62Dg0OBZsHA/4ovFy9eLFD7o0ePApljv15ISAgWi6XAY8zv2oUdz/XfE/zvu0pISLitHCJ/FhVhpNSo6h/IntMrcXGzw0x34IE6/fni429ZOPv2qvYiIiIicvuyZ7VER0fnu/NR8+bN2b59OxcvXiQ6OhqLxUKzZs3yvZbVas33uGmaRR/8LvqzxlG7dm0AduzYUaTXzXajdWbS0tKK5Po3+p6g+P03l9JHRRgpNQzDwn3167Av6VtcPe0h3Y5G1f7CkrmrmPPJf2wdT0RERKRUady4MU5OTkRFRREVFYWzszMNGjTIOf/AAw+QlpZGdHQ0mzZtIiwsrMALz+YnICCAU6dOcf78+Tznfv/9d9zd3SlXrlyh22bbu3dvnrbZx/KbuXG7qlSpwqlTp/LMYklNTc13l6f8dOvWDYC5c+cWqGhRtWpVAPbs2ZPn3L59+8jIyMg1xrJly+aavZMtv9kyRTEekeJERRgpVTw9yhEcUomY2AV4+NhDhpV6/j1Y+e1mZr33pa3jiYiIiJQajo6ONGrUiJiYGJYvX06jRo1wcHDIOV+7dm28vLx47733broeTEF16dKFjIwMpk2bluv4Tz/9xI4dO+jUqVPOVs2FaZtt0aJFnDhxIufz1atX+fDDD7FarXTs2PGOsl+rU6dOpKen8/HHH+c6Pnv2bBITEwt0jbCwMPr168emTZsYN25cvoWY06dPM378eAB8fHxo0qQJy5Yty1nUFzJnnWQvJNy1a9ec49WqVSMpKYmtW7fmHMvIyOCjjz66K+MRKU60O5KUOtWDa+Lg4MCmDbO5v/pjnDuVSohPRzauXsOVlLkMfXmgrSOKiIiIlAotW7YkKiqKTZs2MWbMmFznDMOgWbNmOQu+3mkRJiIiggULFjB9+nSOHTtGs2bNOHz4MLNmzaJ8+fK88cYbt9U2W3BwMG3btmXIkCG4urqyaNEitm3bxssvv0zlypXvKPu1Bg0axOeff85bb73F4cOHc7Z0/s9//kNQUFCBH/mZNm0a58+fZ/r06axYsYKHH34Yf39/Ll26xNatW4mMjMx5bAng7bffpkuXLnTs2JEnn3ySChUqsGzZMlatWkWfPn1y7Yz02GOP8cEHHxAREcEzzzyDg4MD3377bb7Zimo8IsWFZsJIqVTVP4gHHmzCuj0zKVfZDrAQ6NGW3VtO8M74WbaOJyIiIlIqXFtYuXZR3uuPWa1W7r///ju6l729PUuWLOGFF15g69atjB49mi+//JIePXqwatWqXIWSwrTN9vTTT/P888+zYMECxo4dy/nz53n77bd59dVX7yj39RwdHfnuu+/o378/P/zwA6+//jr79+/nu+++w93dHWdn5wJdx8XFhYULFzJnzhz8/f357LPPeO655/j73//OkSNHePnll/n6669z2jdo0IAVK1bQvHlzZs2axauvvsoff/zB+PHj+eSTT3JdOyAggPnz5+Pt7c3f//533n33XZo0acKMGTPu2nhEigtDCxcVT+Hh4eaWLVtsHaNQolZuJiE+73O1thR/7gzLfvyJtvc9RdzRzG0G49K3Ur6KI6MnPnuL3iIiIiK3tnXrVqpXr27rGHKXREVF0bVrVz766CMiIiJsliM9PZ3AwEDCw8NZsmSJzXIUlZI2Hil6+/fvZ926dfTs2bNI110qIvmvTo1mwkgpV86zPF27deKn7R/jHZhZkPS2NuTcSRg/8j0bpxMRERERyevy5ct5jn322WckJibSunVrGyS6MyVtPCI3ozVhpNTzcPeiZ68efPOfT2nb8DHiDzngYYaSfG4/rw5/h7feHXHDbfZERERERP5sw4cPJyUlhSZNmuDo6MjmzZtZtGgRQUFBPPbYY7aOV2glbTwiN6OZMCKAq4s7vXv3Ym3MHDyDMrfHc0mrjvVyBUYPnUxGRoaNE4qIiIiIZGrTpg0nTpzgn//8J6NGjSI6OppBgwaxfPly3NzcbB2v0EraeERuRmvCFFNaE+buuHL1Mt9FRtKoZlcuHi0HQJrjSS5ymLc/fgmr1WrjhCIiIlLcaE0YEZGipzVhREoARwdnenTvTszBZThWPo5hAbsrlXCjBi899Q9SU7VFnoiIiIiIiNweFWFErmNv50jXLt3Yf3IDps8+rHYG1is+eFrr8NJTb3PlylVbRxQREREREZFiSEUYkXzYWe3p0L4jsYm7ueweg72jBcsVL7zt6/PK05O5fPmKrSOKiIiIiIhIMaMijMgNWC12tGn9EBfTTxJv/zOOzlaMK+742Ddk9LNTSL6Udys9ERERERERkRtREUbkJiyGhebNWmJ1uczx9J9wdrODq2XwsWvEmKHTSbpwydYRRUREREREpJhQEUbkFiyGhcYNm+JZ3oG/IRNRAAAgAElEQVT9Sd/i6mkHqc6UtzTmjec+4Py5C7aOKCIiIiIiIsWAijAiBWAYBvXqNqBqcHl2nF6Ih489ZroD3kZj3ho5k4S4e3vrbREREREREbE9FWFECsjAoFZIKHXuq8GmI1/g6WsP6XZ4ZoTz9ujPOXs6wdYRRURERERE5B6mIoxIIQUHVKfpAw1Y9/unlKtsBxlWPFIbMO2NecSePGvreCIiIiKlzrPPPouHh4etYxSJSZMm4eHhwdGjR+/qfTw8PHj22Wfv6j1EJC87WwcQKY4qV6pK2/YOLF/6MQ81eJq4o1AmpS4fvvU1z4zqgV8VX1tHFBERkRLm/b/9ausIufzt/Xq31a8wxZIdO3ZQtWrV27qPiMi9SEUYkdtU3rsiXR7uSOR3H9Eh/GniDltwulSHT//5A4+P6EjVID9bRxQRERG558ycOTPX5/Xr1zN79mwee+wxmjVrluuct7f3nxmtVDl9+jRWq9XWMURKHRVhRO6Al4c3vXp255tvPuGh8CeIO2SPfVINvpi+ioihrQgO0V9uRERERK7Vt2/fXJ/T0tKYPXs2jRs3znPuXpWUlISbm5utY9wRJycnW0cQKZW0JozIHXJzLUuv3r1Zte1zPIMuAWBNDGThR+vZu/uQjdOJiIiIFD9Hjx7Fw8ODSZMm5Tl3szVT4uLiePrppwkICKBixYp069aNmJiYfO/x9ddf06FDB/z8/PD19aVNmzZ88803edplr52ydu1aOnToQKVKlejXr1/O+V9//ZVBgwZRrVo1fHx8qF27NkOGDOHQoUN3NJb8vpOnnnoq5z716tVj/PjxJCcn52qXkJDA6NGjqVevHuXLlycgIICWLVvy7rvv5juuay1fvpzOnTsTGBhIhQoVqFOnDhERERw4cOCW+USkYDQTRqQIlHF2pVfv3nz37Zc0De1O0pFycL4yX3+ylZ5/NakVFmzriCIiIiIlXq9evfD09GT06NGcPn2aTz/9lC5duvDTTz9Ru3btnHYTJkxgypQptGvXjldffRWLxcL333/P4MGDmTJlCk8++WSu627fvp3vvvuOwYMH8+ijj+YcX7ZsGQMHDsTFxYVBgwYRFBTEmTNnWLVqFXv27CEoKKhIxnXs2DHatGnDhQsX+Otf/0pQUBDR0dFMnTqVTZs28d1332Fnl/mr3eDBg1m/fj1DhgyhTp06pKSksHfvXqKjo3nuuedueI/o6Gj69etH7dq1GTFiBB4eHsTGxrJ27VoOHTpEtWrVimQsIqWdijAiRcTZ0YUePXvy/feR1A1uy9UTfpjnffn20x2kP55OaP0ato4oIiIiUqL5+/vz73//G8MwAOjWrRutW7fmtddeY8mSJQDExMQwZcoURowYwdixY3P6PvPMM/Tv35/x48fTr1+/XI8b7dmzh2+++YbWrVvnHEtOTub//u//cHd3JyoqikqVKuWce+WVV8jIyCiycb355pvExcWxaNEi2rdvD8CTTz7Ja6+9xvvvv8/8+fMZNGgQiYmJrFu3jieeeILJkycX6h4//vgjGRkZfPPNN/j4+OQcf/nll4tsHCKix5FEipSjvRPdH+7O739EQfn9WO0M0hO9+f6z39mxZa+t44mIiIiUaM8//3xOAQagfv36tG7dmrVr13Lx4kUAFi1ahGEY9O/fn/j4+FyvTp06kZSUxObNm3NdNywsLFcBBmDVqlXEx8czbNiwXAWYbBZL0fyqlZGRwdKlS6lbt25OASbbiBEjcmbxADg7O+Po6MiWLVsKvcW1u7s7AN9++y1paWlFkl1E8lIRRqSI2Vkd6NSxM3/E7+Cy+6/YOVhIv+DJ0tkH2LZxj63jiYiIiJRYNWrknXlcs2ZN0tPT+eOPPwDYu3cvpmkSHh5OUFBQrtewYcMAOHv2bK5rBAfnfbT84MGDANStW7eoh5FLXFwcFy9epFatWnnOeXl54evry5EjRwBwcHBg0qRJ7Nmzh7p169KkSRNeeukl1q5de8v7PPXUU9StW5cXX3yRgIAAHnnkEWbMmEFcXFwRj0ikdNPjSCJ3gZ3Vnofatee/UWu56niZctZmXElyZ8WcI2Skm4Q/UPvWFxEREREppa6dzXK9O52lYZomhmGwePHiG27RfH3Bw8XF5bbvdzfHkp8nnniCLl26sHz5cn7++We+/fZbZs6cSa9evfj8889v2M/Ly4u1a9eyfv161qxZw/r16xk9ejQTJ05k8eLFNG7cuMizipRGKsKI3CVWix0PtmzDho0/c+LKSvxdH+LyRVdW/vsPMjKgcQsVYkRERETy4+npCcC5c+fynMue9ZGfffv20ahRo1zHfv/9d6xWK/7+/kDmrJaVK1fi7+9PSEjIbWfMXqh2586dtG3b9obtbncs2by9vXFzc2PPnrwzqs+dO0dsbCxhYWG5jvv6+jJ48GAGDx5Meno6Tz31FIsXL2bYsGE0bNjwhveyWq20aNGCFi1aALBr1y5atWrF5MmTWbRo0S2zisit6XEkkbvIYlho1rQ5rl4GBy5+h6unHenJLqyae4KP3/qeb+evY9/uw7aOKSIiInJPcXNzo0KFCqxbtw7TNHOOHz58mB9++OGG/aZPn56rfUxMDGvXrqVVq1a4uroC0LdvXyBzsdv09PQ81zhz5kyBMrZp04Zy5crxwQcfEBsbm+d8do7bHUs2i8VCx44d2bFjBytXrsx1btq0aWRkZNC1a1cgc7Hg67estlqt1KlTB8i/EJQtPj4+z7EaNWrg7Ox8034iUjiaCSNylxmGQcP6jdm1+1d2HviK+yr2JTEOEvY7kbAfdq3ej5PnTvyC3fCr5kHD+2vhUsbZ1rFFREREbOrJJ5/krbfeonfv3nTp0oXY2Fg+++wzatWqxbZt2/Lt88cff9CzZ086d+5MbGwsn376Kc7OzkyYMCGnTcOGDRk9ejSTJk2iefPm9OjRA19fX06fPk1MTAwrVqwo0DooLi4ufPDBBwwaNIimTZvmbFEdFxfH6tWrGTp0KF26dLntsVzrjTfeYM2aNfTv35+//vWvBAYGsn79epYsWcIDDzxA//79AThw4ABdunSha9eu1KpVi7Jly7J3714+++wzqlatSrNmzW54j+HDh3PixAnatGmDv78/KSkpLFmyhKSkJPr163fLjCJSMCrCiPwJDMMgtHY9HBwd2bT9C+4PHsy52NTMk6nOpJxx5uAZOLghieglq/Cp4oh/dQ+q161IUHV/24YXERERsYEXXniBCxcu8OWXXxIdHU1ISAgffPABMTExNyxcLFmyhDFjxjBx4kRSUlIIDw9nwoQJhIaG5mo3atQo6tevz4wZM/joo49ITk7Gx8eHWrVq8Y9//KPAGTt37szy5ct55513mDt3LhcvXqR8+fLcf//91K79v0fPb2cs16pSpQqrVq1i4sSJfPnllyQmJlKpUiVGjBjBSy+9hJ1d5q91lStXZsCAAURFRfHDDz9w5coVKlasyODBg3n++edvurZN3759mT9/PgsWLCAuLg43Nzdq1qzJnDlz6N69e4G/ExG5OePaKXFSfISHh5tbtmyxdYxCiVq5mYT487aOYXNH/jjE+nUbaRjaDg+HKlw6a8fli3mnwgJgd5Uy3lepXN2DKiFlCWsYhLOL058bWERERO7I1q1bqV69uq1jiIiUKPv372fdunX07NmTgIAAW8e53g1X5NZMGJE/WYB/EI4PObJ61QqSLyVjGAY1AusR4FsX+zQfzsemk56WVRxNc+BSrAN7Y9PZGxXP6gXH8A10pkqIB8GhFagaVNG2gxEREREREZECUxFGxAYqlvejf78ILqdc4kzcaQ4dPMxPG+eSkWHi4uRK7eqN8fWoQdoFVxLjUnP6pV8qw4ldcGJXEhv+cw53391UCfEgoKYnIfdVxsnJ0YajEhERERERkZtREUbERgzDwMXZlQB/VwL8g0lvmcaFi4mcPHGCvb/HsGXnagAq+lQhJLARbnaVuXjGSkpy1qNLGXZcOAm7Tl5m15rLLHM5QqVqLgTU8iQ4zJtK/t42HJ2IiIiIiIhcT0UYkXuE1WKHp3s5PN3LUadWXa6kphCfEMfRo0dY/2skV69cxWKxEBJUn6rlw7BLLce52HQy0jMfXUpLduDYjjSO7TjLukWn8fQ1qFq7LIF1PKkW6ouDg72NRygiIiIiIlK6qQgjco9ytHeiUoXKVKpQmaaNHuDS5SRiT5/iwP6DLFu/FYAyLu7UqdaU8u7BpCaW4UJ81qNLGRbOnYRzJxOJWZmIvcsh/Gu4EhjqSXBYOXx8PWw4MhERERERkdJJRRiRYsAwDFxd3KkW6E61wBDS0tM4n5jA8eN/8PvejWxOXAGAn28gNaqG42r1I+m0hSuXMx9dSk22cCgmmUMxyaziD7z8HAgK9aJaXS+CQ31sOTQREREREZFSQ0UYkWLIzmqHt1d5vL3KUy+sASlXLxMXf5bDhw8TtXUJaWnpWCxWagU3pEr5OliueHEuNg0zA8BCwok0Ek6cYcvyM/hVP8aDfQIICCln62GJiIiIiIiUaCrCiBRzhmHg7OiCf6Wq+FeqSvP7W5B06QKnYk+yf98Bftu/GQC3Mh6EVr+fcq5BXD3vQlJC5qNLJ/Yn8++Jv1GjYVke7B1AeT93Ww5HRERERESkxFIRRqSEsViseLh54uHmSc3qdUhNu0rC+XiOHTvGr7//l+TkZQD4V6pGSJVGGEmVuHgujf1bEzkQE0PdFt606F4VD68yNh6JiIiIiIhIyaIijEgJZ2/nQAXvilTwrkh4/cZcTrnE6bOnOXTwEKs3L8TO6kCr8N6kxfmScimdX9fGs3tjPOEPVeD+zgE4uzjYeggiIiIiIiIlgoowIqWIYRi4OLsSWMWVwCrBpLdM49DRA6yNWoSjvQstGzzCxRPupKZksCHyNL9GneH+zpUIb1sFOzv9uBAREREREbkT+q1KpBSzWu2oHlSTwKrB7Nn7G8vWf4ZX2QrcX7sXCUcdSD5vsmr+CbatPk3zHv7Uvb+yrSOLiIiIiIgUWxZbBxAR27Oz2hNW+z4GDBiAX9XyREZ/xLH0SLwDAQPOxaYROeMw/3pzMwd2nbZ1XBERERGbOXr0KB4eHkyaNMnWUUSkGNJMGBHJ4ejgTOOGTQmtHcYvWzcT+fO7hATVp0b51sQdSyf24BW+nLyXoHrHadU7kEpVvWwdWUREpNSo493J1hFy+S1u6R31j4qKomvXrgA8+eSTTJkyJU+bs2fPUqtWLVJTU2nevDk//PDDHd1TRMTWNBNGRPJwcS5Dq+at6dvvLySnnSVy41RSym7Hs6I9YHDo12Q+H7+Tbz/9lYSzSbaOKyIiIsWYk5MTixYt4sqVK3nOLVy4ENM0tTadiJQYKsKIyA25u5alQ/tO9Ordg+Nxu1m67R0svvtxL2cP6RZ2RV/g01e3s2Lhbi4lXbZ1XBERESmGunbtyvnz5/Od5TJv3jzat2+Po6OjDZKJiBQ9FWFE5KYMDMp5lqd7tx506daZnQejWbl7Ok7+J3FxtyPtisEvS+P5ZMwWon/Yx9WrqbaOLCIiIsVIvXr1CA0NZd68ebmOb926lT179hAREZFvv23bthEREUFgYCA+Pj40bNiQyZMnk5aWluc6zz77LA0aNMDX1xc/Pz/at29PZGRknmseP36coUOHEhoaio+PD8HBwTz00EPMnz+/QGP5+uuv6dChA35+fvj6+tKmTRu++eabPO2WL19O586dCQwMpEKFCtSpU4eIiAgOHDhQoPuISPGleX0iUiCGYaFieT/69O7DsRNHiVoXCaaVBxs8wuXT5bh8IZ3/fnWamP+e4f6ufjRoEYBhGLaOLSIiIsXAgAEDGDNmDCdPnqRSpUoAzJ07Fx8fHzp27Jin/fLlyxkwYABBQUEMGzYMT09PfvnlFyZOnMjOnTuZM2dOTtvIyEj27dtHz5498ff3JyEhgQULFjBgwABmzZpFnz59AEhLS6NHjx6cOnWKJ554gmrVqnHhwgV+++031q9fT//+/W86hgkTJjBlyhTatWvHq6++isVi4fvvv2fw4MFMmTKFJ598EoDo6Gj69etH7dq1GTFiBB4eHsTGxrJ27VoOHTpEtWrViuprFZF7kIowIlIoFouVAP8g/PtV4cChfaxcPw9XJ3ceqNeHxGPOJJ42Wfav42xbFUvz7v7UaqBtrUVEROTm+vbtyxtvvMH8+fMZOXIkly9fZsmSJQwcODDPejApKSkMGzaM8PBwIiMjc84PGTKE0NBQxowZQ1RUFC1atADgpZdeYty4cbmu8cwzz9CiRQsmT56cU4T5/fff2b9/P+PHj+f5558vVP6YmBimTJnCiBEjGDt2bK779O/fn/Hjx9OvXz/c3Nz48ccfycjI4JtvvsHHxyen7csvv1yoe4pI8aTHkUTktlitdoRUr82AiAHUqBPE0vUzOXh5Cd6BGRgWOHMkjSXvHmTu5M0cO3DG1nFFRETkHubl5UWnTp1yHvuJjIwkMTGRgQMH5mm7Zs0azpw5Q0REBImJicTHx+e82rdvD8Dq1atz2pcpUybn38nJySQkJHD58mVatmzJ3r17uXDhAgDu7u5A5q5NZ8+eLVT+RYsWYRgG/fv3z5UnPj6eTp06kZSUxObNm3Pd59tvv83z6JSIlHyaCSMid8TezoF6oQ2oWaMW23/dTuTP7xNUpRZ1qnQk7ggc23WFubt3U7PJcVo+HIRPpbK2jiwiIiL3oAEDBtCnTx82bNjA3LlzadiwITVr1szTbu/evQAMHTr0htc6c+Z/fwA6e/YsEyZM4Mcff8y3uJKYmIi7uztVqlRh5MiRTJ06lRo1ahAWFkarVq3o0aMHDRs2vGn2vXv3Ypom4eHhN2yTfe+nnnqKH374gRdffJFx48bRtGlT2rVrxyOPPIK3t/dN7yMixZ+KMCJSJBwdnGnaqBlhoXXZtHkjkeunEVqjCQFlmxN/HH7fcIn9236lbktPmncNxr1smVtfVEREREqNtm3bUqlSJd5++22ioqKYOnVqvu1M0wQy12AJCwvLt03FihVz2vbs2ZO9e/fyzDPPUL9+fdzd3bFarcybN49FixaRkZGR0+/1119nwIABrFixgvXr1zNnzhzee+89nnvuOd58880bZjdNE8MwWLx4MVarNd82tWrVAjJn/axdu5b169ezZs0a1q9fz+jRo5k4cSKLFy+mcePGt/6yRKTYUhFGRIpUGWdX2rRqR4MG51j/88/s2vcOjeu1w8u4j8QzqWz/KZE9G7fQoJ0P93cMxslJW06KiIgIWK1W+vXrx9SpU3F2duaRRx7Jt11wcDAALi4utG7d+qbX3LVrFzt37uSVV15hzJgxuc5du3jvtQIDA3n66ad5+umnSUlJoVevXrz77rv87W9/y7WGy/WZVq5cib+/PyEhIbcaKlarlRYtWuSsW7Nr1y5atWrF5MmTWbRo0S37i0jxpTVhROSuKOvmSacOXejZqzsHT2xnxY6p2PsdxdXTjpQkC+v/E8/M1zaxafX+XH+BEhERkdJryJAhjBo1imnTpuWsnXK9tm3b4uPjw/Tp00lISMhz/vLlyyQlJQHkzErJnj2Tbffu3Xz//fe5jiUmJpKamprrmJOTEzVq1ADg/PnzN8zdt29fAN58803S09PznL/28aj4+Pg852vUqIGzszPnzp274T1EpGQokTNhDMMoB/QEugBhgB9wFdgJfA58bppmnt/6DMNoBrwGNAWcgf3AZ8D7pmnm/Wma2acrMBKoD1iB34CPTNP84ib5BgNDgdpAOrAdmGKa5vc36iNSHBmGgbdXBXp078mp0ydY99+VXE1ZSqvw3qTF+ZJ0Np2VX8Ty24Y4+g6/jzJuzraOLCIiIjbk7+/P6NGjb9qmTJkyzJgxg4iICMLDw3O2qk5MTGTfvn1ERkYyb948WrRoQUhICLVq1eLdd98lOTmZ6tWrc+DAAWbPnk3t2rWJiYnJuW5UVBTPPfccDz/8MNWrV6dMmTLExMQwZ84cwsPDqV69+g0zNWzYkNGjRzNp0iSaN29Ojx498PX15fTp08TExLBixQri4uIAGD58OCdOnKBNmzb4+/uTkpLCkiVLSEpKol+/fkXzRYrIPatEFmGAPsDHwClgDXAMqAD0AmYBnQzD6GNeUxI3DKM78DWQAnwJJADdgGnAA1nXzMUwjGHA+0A88G8yCz2PALMNwwgzTXNkPn2mAC8Cx4FPAQegHxBpGMbfTNP8oCi+AJF7icWw4Ofrz1/69OXYH4dZt+5r7K1OtKj/CJdOunNqXxoLp/1KvxfqqRAjIiIit9SuXTvWrFnDtGnT+Oqrr4iLi6Ns2bIEBgYybNgw6tSpA2TOhPnqq6947bXXWLBgAcnJydSqVYuPP/6YXbt25SrChIaG0q1bN6Kjo1m0aBHp6elUrlyZF198kWHDht0y06hRo6hfvz4zZszgo48+Ijk5GR8fH2rVqsU//vGPnHZ9+/Zl/vz5LFiwgLi4ONzc3KhZsyZz5syhe/fuRf9licg9xbh+al5JYBhGG6AM8MO1M14Mw/AFNgP+wCOmaX6dddwdOAB4AA+Yprkl67gTsBq4H3jUNM2F11wrAPgduAQ0NE3zSNZxT+AXIBhoZprmhmv6NAN+Bg4CjUzTPHfNtbZmZa6Zfa2bCQ8PN7ds2VKo78XWolZuJiH+xtM4pfRIS09l/8F9bPh5I54ePtxf6y/EHTaoEGzPo8/Xo4y7CjEiIlJybN269aazKEREpPD279/PunXr6NmzJwEBAbaOcz3jRidK5JowpmmuNk0z8vpHjkzTjAVmZH188JpTjwA+wMLsAkxW+xQyH08CePa62wwBHIEPri2aZBVWJmZ9fOa6Ptmf/55dgMnqcwT4MOt6j996hCLFm53Vnlo16jBw4EACgivx/fr3KRd0hdMHU1kw9VcuXki2dUQREREREZEiVyKLMLeQvdpW2jXH2mS9L8un/TogGWhmGMa127jcrM/S69rcSR+REsvezoH69cJ5tH8/Vm39Aq+gy5w+nMqCqTu4mKhCjIiIiIiIlCylqghjGIYdMCjr47WFkOx95PZd38c0zTTgMJnr5wQVsM8pMh9TqmwYhkvWvcuQuUDwxazz19uf9V6jQIMRKUHKOLvRq3dP1mz/N56BlzijQoyIiIiIiJRApaoIA7wNhAI/mqa5/JrjHlnviTfol3287G308bjuvTD3yMUwjKcMw9hiGMaWs2fP3qiZSLHk4uRKr149WffrAsoGXuDMkVTmT/mVJBViRERERESkhCg1RRjDMIaTuSvR78BAG8e5LaZpzjRNM9w0zXAfHx9bxxEpcs6OZejZsyfROxfhEXCes8fSWDBlB0nnVYgREREREZHir1QUYbK2kn4X2A20Nk0z4bom189auV728Wu39ilon8Tr3gtzD5FSx8nRhZ49erL+t//gFpDA2WOpzJ+8g8SES7aOJiIiIiIickdKfBHGMIzngfeBXWQWYGLzabY36z3PeixZ68gEkrmQ76EC9qlI5nbTx03TTAYwTfMScAJwzTp/vex9C/OsMSNS2jg6ONOje3c27/4O16pniTueuUaMCjEiIiIiIlKclegijGEYrwDTgBgyCzBnbtB0ddZ7x3zOtQRcgPWmaV4pYJ9O17W5kz4ipZKjgzPdu3dny96luPjHEn88jfnv7OB8vAoxIiIiIiJSPJXYIoxhGK+TuRDvVqCtaZpxN2m+GIgD+hmGEX7NNZyAt7I+fnxdn8+BK8AwwzACrunjCYzJ+jjjuj7Zn1/NapfdJwAYmnW9z28+MpHSw8Heie4Pdyfm4EqcKp8k4UTmGjHn41SIERERERGR4seuKC+W9ehOGJAB7DBN0yzK6xcix2DgTSAdiAKGG4ZxfbMjpmnOBjBN84JhGE+SWYxZaxjGQiABeJjMragXA19e29k0zcOGYbwEvAdsMQzjS+Aq8AhQGXjHNM0N1/VZbxjGVGAEsMMwjMWAA9AX8AL+ZprmkSL5EkRKCHs7B7p17cYPP3xP7YCWnDvpz/x3dvLoi6F4ervaOp6IiIiIiEiBFaoIYxhGCJkFgyOmac657tyDwHygQtahPwzD6G+a5vqiCFpIgVnvVuD5G7T5LzA7+4Npmt8YhtEKeBXoDTgBB8gsmLyXX0HJNM33DcM4AowEBpE5s2g38Jppml/kd1PTNF80DGMnmTNfniKzYLUNmGya5veFG6ZI6WBv50DXrt348ccfqOHflPOxgSyYspNHXwzD00eFGBERERERKR4K+zjSIGAsUOXag1mP1nwN+AJG1qsK8INhGL5FkLNQTNMcZ5qmcYvXg/n0+9k0zc6maXqapulsmmaYaZrTTNNMv8m9Ik3TbGWapptpmmVM02x0owLMNX1mZ7Urk9WvlQowIjdnZ7Wnc+cu7D+xCaPCQRLPpDN/yk4Szly0dTQREREREZECKWwRpk3W+9fXHX8C8ASOAg8BzYGdgDsw/E4Ciohks7Pa06ljFw7HbiXDey8XzqazYPIO4k8n2TqaiIiIiIjILRW2COOX9X7wuuPdARMYbZrmqqxHkJ4lc0ZMhzuLKCLyP3ZWOzq278QfcTtI89pNUkIGC6fsUiFGRERERETueYUtwvgA503TvJp9wDAMe6ARkAZEZh/PKsSkAdWKIKeISA6r1Y72D3Xg1Pk9XPHYSVJCOgsm7yL+tB5NEhERERGRe1dhizAZQJnrjtUnc4efX03TvH7f2ETA8TaziYjckNViR7u27Tl78QCX3WO4dD6D+f/cwdlTmhEjIiIiIiL3psIWYY4D9oZh1LrmWJes95+vbWhk7gntDsTdfjwRkRuzWqy0bd2Oc5ePklRmC8kXTBZM2UmcCjEiIiIiInIPKmwR5r9krvPyjmEY5Q3DuA94hsz1YH68rm0IYA+cvOOUIiI3YLFYaf1gWy6lneSC0yZSkkzmT97JmRMXbB1NRDbNnRcAACAASURBVEQkh2mato4gIlJiFOefqYUtwrwDXCFzsd1TwFYy14n51TTNn65r2zHrffMdJRQRuQWLYaFli9Zc5iwJ9uu5cslk4ZRdnD2hGTEiImJ7dnZ2pKWl2TqGiEiJkZaWRkZGhq1j3JZCFWFM09wLPAwcJnNGjAn8RObuSNd7POt9zZ0EFBEpCIthoUWzlqTZneesJYorl2H+5F2aESMiIjbn4uLCxYtaPF5EpKhcuHAh5+dq5kooxUdhZ8JgmuZPpmlWAyoArqZpdjBN849r22TtmDQcaA0sLZKkIiK3YLFYaX5/CwynS5w215B6xWT+5F2c/kOFGBERsR0/Pz/i4uJITk4u1lPoRURsyTRNUlNTiY+PJy4ujrNnz2KaJi4uLraOVih2t9vRNM2zNzmXSub6MSIifyrDsHB/k+Zs2rKBkxdW4ne1HQve2cWjL4ZSwd/d1vFERKQUcnFxwWKxcOjQIRwcHIrdX21FRO4VGRkZXLx4kbNnzxIXF4eHhwfe3t62jlUot12EERG5VxmGQZPwpvyybTN/JKygitGBBZN30e/FOvhW9bB1PBERKYXq1q3LsmXL+P333zFNU4UYEZE7YBgGLi4uPPzww8Xu56lxu1MiDcOwANUBLzJ3Qboh0zTX3dZN5IbCw8PNLVu22DpGoUSt3ExC/Hlbx5BSxCSDrdu3cP7MFYJcOoMlg0dHhuJbRYUYERH585mmSVxcHKdPn+bq1at6NElE5DZYrVY8PDzw8/PDwcHB1nFu5IaVoUIXYQzDqAhMAh4BnAvQxTRNUzNuipiKMCIFY5omMTu2cvbkRaq7dyMjI4N+I+tQKaCsraOJiIiIiEjJdMMiTKEW5jUMoxKZW04PBFyyLnyrV6EX/xURKSqGYXBf3YZUqOzO3sRvsFotLJyym5OHVRAUEREREZE/V2ELJOMAP+AimbsfVQXsTdO03OxVxJlFRArFMAzqhtXHL6AcuxOWYLWzsGDKbyrEiIiIiIjIn6qwBZJOgAk8YZrmB6Zp/mGaZvpdyCUiUqQMDEJr1aNqNV92nf0KewcrC6f8xomD52wdTURERERESonCFmF8gDTgm7uQRUTkrjIMg9ohoVSr5c+vsQuwd7Ky8J3dnDioGTEiIiIiInL3FbYIcwa4bJpm2t0IIyJytxmGQc3qdagZFsy24/NxdLGy8J1dHD+gGTEiIiIiInJ3FbYIsxJwMwyj+t0IIyLyZ6kRXJPQ+tX55ehcHMvYsfCd39i9+RTpaXrCUkRERERE7o7Cbh09kcytqf8B9Cr6OCIif55qgSFYrVY2bfqCpkGD+c+HB3ByO0S1emWpGV6O4FBv7OwL+2NSREREREQkf4X67cI0zQOGYTwMfG0Yxk9kFmU2m6Z56a6kExG5ywKrVMNiWNiw/jNa1HmM+OPp7IpOYFd0Ao6uB6h+nyc1GpSjWl1v7FWQERERERGRO3DD3ygMw7jVnPw2WS8Mw7hZO9M0Tf3mIiL3rKr+QViaW4hcOhWvsj7Uq/EgrhZ/Ek5k/K8gU+YA1eqVJSTcm+Cwcjg42Ns6toiIiIiIFDOGaZr5nzCMjCK6h2maprWIriVZwsPDzS1bttg6RqFErdxMQrx2oZF714Wkcxw4dJDfdv5GSsoVyrp5Ua/mg7jbVeXcCZP/Z+++4+O87jvff87zzDN9MIPeQRAdpEiKVYWyuuXEVW6SHMe24mSd5O7Nxkm82Vfi1LWTONnEN/UmN+vUjfPKOrazsR2bslUsq8uSKLF3ohC9T6/PuX/MACJFkARBAIPye79eeA145im/oUSU75zzO7ls/uuly6do2R6kc3c57TsqJZARQgghhBBCXOyKM1WuFsLctVR311o/vVTXEnkSwgixfLS2mYnO0NtzniOHjxKPJwj4gtzcfTchZwvTA5psJv+10+mFlm0hOveU0769EpdbAhkhhBBCCCE2uOsPYcTqJiGMECtDa5tILExvbw9HDh8lGo3h8/i5ufsuytztzAwpMqn8xEHLA63bg3TsrqBjhwQyQgghhBBCbFASwqw3EsIIsfI0NtFYhL7+Po4cPkp4Jozb5WFn911U+DoID5mkk4VAxg0t20vo3FVO+81VuD3OIlcvhBBCCCGEWCFLE8Iopc4Bo1rrWxd4/DNAnda6dcE3EQsiIYwQxaW1Jp6I0Hehn6NHjjI1OY3TcnFz99uoDnQTGbFIxfP9zR1uaNmWD2Q6dq6eQEZrzcxUguhkmsh0ishUmshUishUhuhUCq3BV2LhC7rwlVh4Aw68JU58QQtvwMIfdMpsHyGEEEIIIS63ZCGMDQxrresWePx5oEka8y49CWGEWD00mkQixoWBfo4cOcbE+ASWw8n2rv3UhbYQHXGRjBUCGRe0bAvQvrOCzl2VeLyuZakpk8kwM54kMpMmOpkiMp0mMpkiMp0PWMJTaWIzGezs/N8fZje9u9a3CIdT4Qta+AJOvCVW/vMSC4/fwh+08mMlTnxBJ76A81q76QkhhBBCCLEeFC2E6QdqtNbyVukSkxBGiNVJa00iFWdw6ALHjhxnZGQUwzDZ3nU7DWXbSIx5iEeyQD6Qad4aoGN3GZ07q/D63Au6RzyaZGYySWQqRXQ6TWQqXXh8M2SJh3OgjXnPVwo8AQcun8J0ZdFGknQuSiw9zUxkjImpIUYnB9HaJlRSQaikkhJ/GT5PELcVwGl6cSg32BZ2xiSbVCTjNulE7qp1KwM8fkchtLHys2pKCqFNYWaNt8TCXwhtLKfk90IIIYQQYk1a+RBGKeUBpoGY1rpswTcRCyIhjBBrQzIVZ2h4kKNHjzE0OIxhGGxt38emyptJTviIzeQDGdOlad5SQseuMirrvESnM4SnU0SnUkSnM/mlQtP5sCUd08D8AQsKvH4HLv9FAYsdI56cYiY2zsT0EGMTQ2Sy6XlP93o9lJaVEgoFQSki4QiRSITwTIRc7uohi2U5KS2pJFRSQcBXis8dxGX5sUwvpnaBbZFLm2SSmmTMJpu2r3o9p1vhCzoprfZQ1eCjqtFLVYOPyno/hikzaoQQQgghxKp1xR9WHVc9S6kmoPktw06l1NuuclEFhICPAhZweMFlCiHEOuN2edm8qY3Nm9pIphMMjwxx/NhxDj/7Ikopulv3sLlmJ5npEs4ejHD2YOTKF1Pg8VmU1ihMd64QsESJp6YJx8aZmB5mdHyAzMDlAYtSipJggFAoxJabOgkEAvj8frweLy63G5flwmE6MIz5Z59orbG1TTabIZvLkE6nSKVSJJNJ4ok4sVicaDRKNBKlf/gUiUTimn83HrePslAVJf4yAt5SPK4S3JYfh+HB0C501iSXtuk/GebcoTcDXMOE8joPlfU+qhq8VDX6qGzwEarwXPs/iBBCCCGEEEV01ZkwSqnfBH7j4iFgoVNnZo/9mNb6nxddoZjXWpwJ85lvf5U7VRU6nCx2KUIUXTqTZHh0mBPHT9Db0wdAZ8tOWuv2YNp+tJEkY8eIp6cJR8cZnx5ibGKQdCZ12bVM0yRUGqK0NEQwWII/EMDn8+Fxe3C73DidTkzDgVJXmD2zDGxtY9s5Mpk0mWyGVCpFKpUknkiQiMeJxWJEIlHC4QiR8NVn2SilqKtupr6qjVJ/HU4VIhuziExmyWXf/Jbk9ppUNHipLoQy+YDGj8tz1fcbhBBCCCGEWGqLmwkzz8n6ahe76JgwcAT4KwlgxKwXpgb4o4Fn+XjTdh4OtJGJShgjNi6n5aapvpmm+mYy2TQjY8OcPHGSbz/7Py85zuVyUVoWIlQWor55G35/AJ/Xi9vjwe1043BYmKYDdc0vzSvLUAaGaeAwLTwA/isfq7XGtnNk7SyZTIZMJkUymSKZShCPJxgfG+fChQEGhs9fcp7lcNJY10ptRStBbzVmroSZ8SQDpyNvNhRWECx3Utngo/KigKaizodhrK6/MyGEEEIIsf4ta2NesXzW4kyY/V/+E54fyP8SpVD8t/bbeZtRSSY5f28KITaibC5DIhnHspxYDgvTkFkcszLZFLFEnJnpKUbHxhgcGGR0ZOyy49xuH5vrO6kqa8bvqsTI+ohPK+Lh7NwxpkNRXuehqsGbnzXT6KOqwUdJ2cKaIwshhBBCCHEVS9aY9++Baa31p5egKHED1noIM8tnWnyu6246Uh6ymewVzhRCiPnZ2iaRjBGJhJmYmGBoaJiBCwOk05nLjg0Fymiq76Iy2IjXKsdOeYhNalIX7erk8TuobPBcEsxUNfhwuiUME0IIIYQQC7Y0IYxYPdZLCDOr3lPC59vupDwKtn31HVOEEOJqtNZksimisShTU5OMjo5yoX+A6emZeY+vrmigoaad8pJ6XKqUXMJFZCJHNpP/WqQUlFa7aL+5nK59FTS0Blfy5QghhBBCiLVHQpj1Zr2FMLN2ldbyq4234JiRJUpCiKWVs7PEEzFmwjOMj48zNDjE0ODwvE2BDcOgoaaV+qpWgt5anASZGVakkzbBCiedu8vp2ltJY7sEMkLYOU3viWlOvTZBz7Epslkb01QYpoEyFIZDYRgK01AY5qUfppl/zjCNS8dmPwrnmI6LjwPDNOY9bvZ8h9PA47PwBCx8AQuHNf/Ob0IIIcQyWfoQRinVANwONAC+q91Ea/3fF3UTcUXrNYSZ9a6adn6mchs52UlJCLGMbG2TSieJRsNMTk4yPDzChQsDxGPxy451Wi5u7r6L6kAnkWGLVCJHSflsIFNOU0dpEV6BEMWRjGc488Ykpw5OcO7QNKal8FQkmIz1kM1lMQ0DpUwMw8AwTAxlopSRf8TAUAZq9oPZDwWq8Dj7Z20ACrS66BHQKt+A284/al0Ys/Of2zlIxXOkk/kZbU63wuN34vE78PgdeP35gMYbcODxW3gDFr5A4fnC54YpzbuFEEIs2tKFMEqpCuCvgAevduGLbqy11vL2wxJb7yHMrJ/evJv3eZpIxy7fllcIIZZLNpcmGo8yMz3N2NgY/f0XGB+bmHvespzs6LqD2pItREedJGM5AmX5QKZ7XwWN7UGUkl/gxPoyM57k5GvjnHptggunIwTKHeCdomf4ICfOHWQ1zq62HE5KAmUEA+UEfCG8rhLcLj8u04vDcKO0E3IWuYxBNnVRcKPA5TbwFEIaj//NkMYbsArBzcWfW3j9Fkp2XRNCCJG3ZI15fcBLQDeQBt4A9hU+fxmoAdoKh08ChwG01vcspmpxZRslhAGwlMFnO+5gry4lk7q82aYQQqyEZCrOwNAARw8fZWRkdG7cNB3s6NpPXelW4qMeEtEs/lIHXbsr6NpbQVNnSAIZsWYNng9z6rUJTr8+wfhAktJag6QxxPGeFy/bNn69WGxwoxS4PGZ+ho3fwhNw0LajjF331MrXACGE2HiWLIT5ZeALwAngPq310Fu3rVZKbQJ+H/gQ8Fmt9e/fSOVifhsphJkVcrr5fMddbEo4yWUv7+EghBArJZGKMzDYz5FDRxkbG58bNwyDbZ230Vi+ncS4l3g4iz9kzc2QkUBGrHa5rE3PsWlOHZzg9MFJUskcJdU5plLneOPks0SiU8UucVW6UnDjNxrwuv2865PtlNV4i12mEEKIlbNkIcwL5Ge+fEBr/e+FsUtCmIuO/WfgYeABrfUTi6laXNlGDGFmbfaV8rnWOwiE7VU59VkIsbHEkzEGBvs5fOgoE+NvLllSSrG1fR/NVTeTmvQTnc7iCzro3FNB954KNnWFZOnCGqdtzeRIHNNhEKxwr9mALRnLcvr1CU4dnOD8kWksl8JVFmdw6hiHT75AJnvtZvnlFeV0d3dSU1uLoRRaa2ytwdbYOv/92rY1Go227fzn2sbWhT/ri8bs2WMu+tCzn+v8Yy6XH8tpbDuHbdvkbBs7lz8uk8kQjcaIRqJF33Xx9p3vwp/pZu/b67nlRxow5N+9EEJsBEsWwkwBJYBXa50qjNnAhNa68i3HbgbOAt/QWj+4mKrFlW3kEGbW7eUNfKZ+L8aM9IsRQhSf1ppEMsaFwX4OvXGEqclLZwx0t+1mc81ustMlRCYz+IIOOnblm/pu7i6TQGYV07ZmYjjO2GCc8YEY4wNxxgfjTAwnyWXyP0eZDkWo0klplZfSKjehKjel1R5Kq9yUVXlXXZPXqdEEpw5OzPV3CVY6sN0TnB18ldM9h655vmEYtLa10NrWSlVFFS6nZwWqvn75MMgmm8uQy2bJZNOk02lSqRTJVJJEIkE8FicWixONRolEovM25r5RoUAZb9v+UZwqyLt+sp2qBt+S30MIIcSqsmQhTAKIaa0rLhqLF65z2XffQmiTeOssGXHjJIR504fqt/BoaRfZiOykJIRYHbTWJFJR+vr7OHzoKNNT05c837F5B211e8lFQoTHM3hLTDp2VdC9r4Lm7lJ5p7xI7MLMlvGBOGMDccYGYowPxpkcSpLLarwlDrxBjbbiRNPjjE330Td4GsvhoLZyM+XBWnyuMhwEsNMWiTAkIlkMUxEotSir9hCq8lBW7c4/FoIay7n8+xdorRk8F8n3dzk4weRIktI6gzgDHD37PMNj/de8ht/vo3tLF02NTQSDZZjG+tx3QWOTy+XI2TmymTTpTIZ0OkUylSKZTJKIJ4gn4kQjUaLRGJFIhHTq2rOFAPZsu4dytZvt+2u4471NmA5jmV+NEEKIIlmyEKYHKNdaBy4a6yW/TfUmrfWFi8ZNIEF+dyTXIooWVyEhzOU+3XoLDzjrSMdlZowQYvXQaOKJKH19vRw+fISZ6fAlz7c0baWj8RaIljEzlsEbMAszZCrYvLVMApllYNuayeF80DI7q2VsIM7EcBw7SyFsAW3FiGUmGJvqo3fw1KL6ofg8fuqqW6gorSPgqcRllEDGTTIKsZksWoM/aM3NmimtKjxW58Mat9da9OvMZmzOH53i1MEJzrw+RTadw1+dZSJ+hjdOPkssHr7mNRob62nv7KCmugav279ml1wtN9vOL4/KZjNkshkymfxsm/M9PRw9fOySY33eEu7Z9VGMdIh3/WQ79S0lRapaCCHEMlqyEOYHwH6gVms9Whj7d+DdwKe11n920bHvB74GDGitGxdZuLgCCWHm5zRMfrvzTrZlA2TT2WW9lxBCXC+tNbFEhN6+Xg4fOkwkHL3k+eaGDrqabkMlKpkeyeDxm3NLllpuKpdA5jrZufwyotmQZXwgv5xocjS/jMgbcOAJabDixDMTjE330zt4inBkckXqsxxOaqs2UVXeQNBXjccRROW8ZOImseks2YzG4zfnZs3MzqKZDWz8wcvf44pF0px5fZJTByfoOTqDy2tghSJcGD/CkdMvkctd/Xuj02nR2d1Jc3Mz5aUVWA7ncr38DWNiapTvfvdxopFL/71v67yVes8ddO2q5K4PNq/IjCghhBArZslCmN8HPgM8pLX+WmHsx4B/AuLAbwOvAzuAXwMCwN9orT+16NLFvCSEubpKl5ff6bibmpiBnStuQz4hhJiP1ppoPExvXw+H3zhCNBq75PmG2ha2bN6PI1XN1FAGj9+gdXs5De0BGtpLqGqQWQmzZsOWsYv6tYwNxJkaKSwjCjjwBDU4E8Qy44xP99M/eIrpRYQthqGoqq6ipqaa8vJygsEQtp0jHA4zNTXF2Ng4oyOjpNOZG3pNSimqyuuoqdhEKFCDz1mGqX3kUhbxGZtUPIfTbRKqdFFa7SFY7mLofISBs1FC1Q6yzjFOX3iZc33Hr3mv2aa69fX1+L0lGOt0mVEx5ewsr7/xGq+9+vol407Lxf23fBwVL+Odj7azqTtUpAqFEEIssSULYW4BXuCiZrsq/xPgE8DdwMUXU8AwsEdrPXj9NYurkRBmYbaUVPIbzbfjDmcu/b9TCCFWEY1NJBqmt7eHQ4eOXNYYtK56E1tb7sCVq2FmJEc2o3H7DOpaSmhoC1DfFqChLYjT7SjSK1g50ZkUwz1RhnqijPbnQ5fJkSR2TuMJ5JcR4czPbBmf6adv4OSiw5bKqkpqamuoKC8nFArh9fhwOd0odfU+HhpNNpshlU4SjUYJR8JMTk4yNjrG2Og4uVxuka/+TSWBMuqrmikL1RFwlWMZfiLpEQ6ffpaJqeFrvraWthba2tpWdVPd9Wg6PMn3vvf4ZX2iOlt20Bp6O5s6S7n/I624POv/37IQQqxzSxPCXPEiSnnIz3x5GGgEZoADwK9prftu+AbiMhLCXJ97Kzfz87U70TPSvFcIsbppbROOztDTe57DbxwlkUhc8rzlcNLWvI36yk48qpLEtIPYdBZlQFWjl4a2knwo015CaaW3SK9iacxMJBnujTLcU/jojRKdzmC5DAIVBsoVJ5GdZHy6n77BU0yFx6/7HoahqKyspKa2mvKKCkLBED7vwsKWxdBak8mmSaYSRGNRZqanmZycYmx0jImJCWx7ed4x8Pt9dG3ppKlxE6XBMpntUkQ5O8ux40d48YWXLxk3TQf33/JRjFg1D/x4K+03lxepQiGEEEtgeUMYsfIkhFmcjzdt5xF/K+mYNO8VQqx+trYJR6fpOX+ew4ePkkzMHyTXVDbS2riNkLcRkgFmRrPksppAqUV9W4D61hIa2gPUNpes2t1YpkbjDPfGCrNcIoz0xYiHszjd+cBFO6PMJIa4MHKKvsFT2Pb1LTVVSlFVdXHYEsTn8+N0uFZNIGFrm0wmRSL5ZkAzMTHByMjYZTMnFqKhsZ6OjnZqamqlqe4qFI2FefyJxxkbvTQ8bG7o4Kba91DdGOIdH2vD6198c2YhhBBFIyHMeiMhzOK5DQd/0H0vzXHndf8QL4QQxTI7Q2Z0bIS+3n56e/quuKzF5fTQsXkHteXtuHQ5sUmTRCSLw6mobfZT355fxtTQXoIvsPIbGE4MxRgqzGwZ6Y0x3BslGcvh8pj4KxTaijAdH6R/+CT9Q2e4zqXTVFZV5JcRVVQQLMmHLS5r9YQti2HbOdKFgCYcCTMzPc34+AQjI6NzDV+dTovOrg6aN2+moqwChylNdVc7W9ucPnOCZ5957pJZUEop7t33EI5EE/d+uJmtt1YXsUohhBCLsDwhTKEfTDnglWVHK0tCmBu3r6yeX6u/BTssS5SEEGuPrW3iiSjjE2P091/g/NkeUqkrz/Krr9lMS8M2gu567LiP6dEMWkNZtYv6tjdDmaqGwJLVqG3N2GDskiVFo/1xUokcbq+JvxxyVoSZ+AC9Qye4MHRuwddWSlFRWU5tIWwJhUJ4vWs/bFmMXCGg2Yivfb2IJ2I89f0nGRwYumS8tqqJPS0foqwiyDs+3kZJ6cqHpkIIIRZlaUMYpdQu8j1g7gd8gNZaOy56vhT4AvlWqL+gtU7MeyGxaBLCLJ3PdtzBbbpMtrQWQqxpGptkMsHk1AQDg4OcPXPusi1xL+Z1++lo2UlNqAVLlxEdUyTjOTx+g9qWEhoLvWXq20pwuq7dJDSXsxm9UJjZ0hNluC/KaF+cTMrG4zfxlUHODDMVv0Dv4HEGR3oX/NocloP6+jpq62qpqKigJFCCx+3DWIaeLUIUi9aanr6zPPXk05fNcrtzz/vwZjrY/+5Gdt5dV6QKhRBCXIelC2GUUh8DvgRcvEBVa63Ntxz3OHAP8FGt9b9c103ENUkIs7SavEH+R9vduGZubEtRIYRYLbTWpDNJpsPTDA0Ocf78ecbHJq54vFKKTfUdbKrdSomrlkzUw8xYBqWgqsk7F8o0tJfgD7oY6c/PbBnpy890Ge2Pk8vkt4P2ltlkjTBTsX56Bo4zPNa/4Lp9Ph8NTfXU1NRQVlqK31eCy+VCIYGL2BhS6QRPP/M0vecvnWReHqrm9i2P4PeW8K5PdhCqlF2thBBiFVuyLaq3AK8BTuBPgX8kvwtS+TwhzMeAfwD+l9b6E4soWlyFhDDL4+NN23nE10o6Lo17hRDrTzaXIRyZZnhkmJ7zvQwODF2130rAX0pH881UBTfjyIYIj2nSSRtlgLbBF3TgCdlkjWkmov2c7z/G2OTgguspryinoaGOquoqQsFSfF4flkOWWwihtWZgqI8nHn+SdPrSN4huvfkBQnoHe99ex74HGqThshBCrE5LFsJ8Cfgk8Bda658rjA0BVfOEMHXABeCY1vqmxVQtrkxCmOUTcLj4o+77qI6o62oGKYQQa41t54jEwoyNjxaa/faSzc7f7BfAMAxaGrcQDFTQM3CCianhBd3HNE1q62qoq6+lorySYEkQr8cn/UuEuIZ0JskLLz7PqZNnLhkP+ILcvfNjuMwg7/5kBxV1viJVKIQQ4gqWLIQ5CzQDm7TWFwpj84YwhediQFZrHbzeisXVSQiz/O6pbOaXqneRjUjjXiHExmDbOeLJGBMT4/RfuMD5s+dJJq9vZqDb7aKxqYHqmhrKy8so8QdxOt3Sv0WIRdJaMzI+xPe++/hl29TfvOVt1DpvZfsdNex/dxOGKbNihBBilViyECYBZLTWJReNXS2EGQOCWmvZI3GJSQizMhSKz3XdxY5MgNxV3h0WQoj1SGtNMh1namqSgcFBzp05RzgcmXs+FArS0NRAVVUVZaWl+LwBLMuJuvLPHUKIRcpk07zy6sscOXzsknG328d9e34cyy7jnY+2U7e55ApXEEIIsYKWLISZBtyARxdOvMpyJBcQBaa01lWLqVpcmYQwK6vTX87vttyJOSO9YoQQG1e+2W+KTCaN2+3BYVrXPkkIsaTGJ0f43veeuGz3sy3tu2kO3Evn7kruen8zDktmnwkhRBFdMYS53q/O58jvitSxgGPfAZjA0eu8hxCrzsnoBB889G88ZoxiuWVilxBiY1JK4XK68ftKJIARokgqyqp56MMPsWv3zZeMHzv9Kt87/CccP3aCv/2t1+g7NV2kCoUQQlzN9YYw3yaf6Hz6agcppQLAFwANfGNxpQmx+vzl+Vf42PkDTAcN2Y1ACCGEEEVhGg5279zHhx/6EKHS0Nx4JpPmwHN/y9Hhb/Iff3+CA/94mlQyW8RKOygnIgAAIABJREFUhRBCvNX1hjB/DMwAn1JKfU4pFbr4SaWURyn1AeBloAsYBv56SSoVYpWYTCd59NC3+OvkKSy/u9jlCCGEEGKDCpWU8YH3f4Bbb9t3yfjZvqN859UvcvLMEf72tw7Sf1pmxQghxGpxXSGM1noc+DCQBH4VGAEqAJRSg+QDmn8FOsn3g/mQ1jq2lAWLtauxtKLYJSyp/xg+zYPH/g9nfWlMU9ZdCyGEEGLlmYaDbVtv5pGPPExl5Zs/a9m2zfde+DJvDP4r//H3J/jh4wNFrFIIIcSs62rMO3eSUtvIz4q55wqHfB/4Oa219INZJmuyMe/Bx0hMTRI+e46zU2PFLmdJ3Ryq5reb9qNnZDtrIYQQQhSHrW1OnznBs888h22/+TO+03Lxjlt+ipraWt71aAcOp7x5JIQQy2xpdke67GSlNgH7gTryTXiHgee01mcWfVGxIGs1hHk+PIYJ7E/CoRNHmU4lil3WkvpM263cY1STSWWKXYoQQgghNqh4MspTTz3F4MDQJeN37f0A5e5OPvCzWwhVeopUnRBCbAjLE8KI4lnLIcysMgy2TsZ4/sxxctouYmVLq84d4A877sE7I43whBBCCFEcWmt6+s7y1JNPk8vl5sY7W3bSXnY/93+kjbbt5UWsUAgh1rUl26JaiCUzic0zZR5a9+xjR21TsctZMoPJCD926Bv8c7YHp89V7HKEEEIIsQEppdi8qY2PfvTHqKuvnRs/ee4gz536O5786kme+fde5A1ZIYRYWdc9E0Yp1QzcBbQCZYXhCeAs8H2tdd8S1ieuYD3MhHmrWzMG/adPMRBZPx38PaaDP+y+j8aYhW2vn9k+QgghhFg7bG3z+huv8uorB+fGDMPgHbf9BFWlTbz3U524PI4iViiEEOvOjS9HUkrtB34XuOMah34f+KzW+sWFVieu33oMYQDcWnFLLMsPTx4hnl0/fVVuL2/gV+r2kQtL414hhBBCFMfg8AUOfOexS5Yn7dv+dup8u3nvp7qoavAXsTohhFhXbmw5klLqU8BT5AMYdY2Pu4EfKKU+eUMliw0pqTRP+02Cu3ZyW3NHsctZMs9PXOA9h7/Oa+4IDkveaRJCCCHEyquraeCRRx6mtCw0N/byoe/xau9X+fr/e4SjL40UsTohhNgYrhnCKKXuBP4ScABx4C+AdwL1gKfwUV8Y+4vCMQ7g/1NK3b48ZYv1bkjZvFBdwva9t9JVUVPscpbMfz/5DD839AzpkBPDlJZMQgghhFhZXo+fB9/3fjq72ufG+gfP8Pjhv+S5A6f43j+fuWR7ayGEEEvrmsuRlFJHgW7gDeBBrXXvNY7fBHwD2AYc1lrvWKJaxUXW63Kk+SgNd6QVx08eYzwRW4bKisNUil2ltewN1tHpLaXW9OLLmdjJDLls7toXEEIIIYRYJK01Z8+f4qknn75k/P5bP0KFv5UHf6Ybf1A2GBBCiEVaXE+YQh+YZ4AZYLvWun9Bd1OqiXxoUwLcobV+4brKFde0kUKYWSUY3Dyd4IXTx8jY6zekUCi2h6rYF6qjy1tOvcOH3zbRCQlnhBBCCLG0psMTfOub3yaRSMyNbeu8lc2hu3jno500tJUUsTohhFizrhjCXKs5xXsKj19aaAADoLXuU0p9Cfgl4L2AhDDihoWx+UHIxeY9eygbHOXVC+eLXdKy0GjemB7hjenL12V3l1Rya2kd3b4KGhw+SmwHpLJk09kiVCqEEEKItS5UUs5DDz/EE088zoX+AQAOn3yRobIe+McfZ9ddjey5r764RQohxDpyrRBmJ6CBry3i2l8jH8LsWsS5QlzReZXjfH05e6urGD1zmt6ZyWKXtGKOh8c4Ps9sohZfKbeV1bPVV0mj009IWxipHJnU+tlhSgghhBDLw+lw8Y4HfpRDhw/yw5dfBWB8cpj/ePmPsc2fYvBchHc+2oHDkn52Qghxo661HOk80AR4tdap67qwUi4gAfRorVtuqEpxmY24HGk+lobbEzavnTxKJH1d/4tuCI2eEm4ra+CmQCWbnAFKtRMznSOTlHBGCCGEEJcbGh3gwLcPkL1oCfQdu95NjX8HD/5sF6EKTxGrE0KINWPRPWEmAUtrHVjUXZUKA1mtddlizhdXJiHMpSox6ByP8NzZE2iko/+1VLl87C9vZFdJNbvMcjLRZLFLEkIIIcQqEU/E+M6BbzM5MTU31tq0lS217+L+h1tp3VZexOqEEGJNWHQIkwHGtNZ1i7qrUkNAudbauZjzxZVJCDO/LbaJ6r3A0dGBZb3PevPoph18sKSVXFjCGCGEEEJALpfl+Zee48Sxk3Njfm+Qe3d+ki27GrjjvZuKWJ0QQqx6VwxhrrWw01yCmy/FNYRYkGNGjqPNNezfuY9q36ImcG1If9/7Bu85/HX+LnMWLdtRCiGEEBueaTq447Y7uff+e1Aq/7tEND7DN5//Yw6+eoh//dMjJOOyvFkIIa6XdNcS649SPOe0id7UxV3dO3CZ1+o/LWb9++BJ3n/o3/hi7CjpkDX3Q5cQQgghNh6lFK3N7Xz4oQ/i9XkB0Frz2PP/wJFzT/HlPzjE2ECsyFUKIcTacq3lSDaQBp5f5PX3Aw6ttcyGWWKyHGnhmrRJzfA4L/edXfF7r3U7gtX80qZ9hKIaO2cXuxwhhBBCFEkmm+aJJx+nv+/C3Fhd9Sb2tjzE/ndtZsstVUWsTgghVp1F94SxyW9RvZi3w2fP0xLCLD0JYa7fzpxJ+Ow5zk4Vr4a1qtkb5Fdab6c+YZHNZItdjhBCCCGKwLZzHD72Bi+/+ObPoE7LxTtu+U+0djRy78MtGIbMohVCCG4ghPk+3PhWM1rre270GuJSEsIsjgncEbN5+cRhEllZx3y9Kl1efrVtPx0ZL5mU/P0JIYQQG9HI2CDf/vaBS96YuXvfh6gLbeF9P92Fr0T25BBCbHiLC2HWMqXUh4C7gJuBHUAA+LLW+sfnObYZOH+Vy/1vrfUjV7jPJ4D/DGwBcsBB4A+11t+6wvEm8F+AnwDagQTwIvB5rfWCl31JCHNjmrRJWf8Qrw/1FbuUNclnWvy39tvZo8pIx1PFLkcIIYQQKyyRjPGdAweYGJ+YG+tu3UVnzQP86Mc6qG8tKWJ1QghRdBsyhHmdfPgSBS4AXVw7hHkD+D/zXO6I1vqr85z3h8AvFa7/VcAJPAKUAT+ntf7ztxyvgK8AHwJOAt8sHPsw4AY+qLX+94W8PglhloDW3JE2OHz8CDOpRLGrWZNMpfiF1lu4x1VHJirbWwshhBAbSc7O8tLLL3D0yPG5sdJgJXfe9HF23dnE7nvri1idEEIU1YYMYe4hH46cIT8j5imuHcL8g9b60QVe/3bgOeAssFdrPXXRtV4FfECX1rrnonM+Avwz+UbH92mtk4XxvcCzwAzQqrWOXOv+EsIsnSpMNg9P8FLvmWKXsqb9VPNO3hfYTC4sYYwQQgixUWg0Pb1neeLxp5j9vcIwDH7ktk/S2NDMj36iA4clG7IKITacK4Yw6/Yrotb6Ka31ab18KdPPFB5/ZzaAKdy3B/gLwEV+ydHFfrbw+GuzAUzhnB8C/xuoJD9LRqygUXK8VBPill37qPIGil3OmvWlnoO85/DX+V/Z8xB0FbscIYQQQqwAhWLzpjYeevhD+Hw+AGzb5tvPfYk3Tj7Dl//gDWbG5Q0aIYSYtW5DmEWqU0r9tFLqVwuP269y7L2FxwPzPPedtxyDUsoN3A7EgWcWco5YWS9ZNslt3dzRtqXYpaxpXxs4zoOH/o0/jR8nE3SSX4UnhBBCiPWsxF/Khz/8YTY1N82Nvfj6Y7x06iv8658d5tyRySJWJ4QQq4ej2AWsMm8vfMwp7BD1Ca1130VjPqAeiGqth+a5zunCY8dFY63kN+c5p7Web4/f+c4RKyyMzbPlXm4O3crk6VP0zcgPDIv15Nh5nhw7z67SWn6xcQ8lEY1t28UuSwghhBDLxHI4eft9D3Dk+CFefP5lAPoGTzM++RfYxk/SfqKeuz6wWbaxFkJsaDITJi8OfA7YDZQWPmb7yNwNPFEIXmYFC48zV7je7HjoBs+5hFLqU0qpV5RSr4yNrb7eKuvJ62aWsc4W7urajqnkn8mNeG1qiB8/9E1+YfQ5xkvAdJjFLkkIIYQQy0Qpg21bbuZ9D74Hy7IAiCejfOPZP+HVgy/z5d9/g+kx2RBBCLFxyW+XgNZ6VGv9G1rr17TW04WPHwAPAC8BbcBPFbdK0Fr/tdZ6j9Z6T2VlZbHLWfcSCp4OOunYu5eO8upil7PmnY1N8VOHv81PXniSXn8Wy2UVuyQhhBBCLJOqiloeeeRhKisr5sa+//JXeenUV/nXPzvM0RdHi1idEEIUj4QwV1FYNvSlwh/vvOip2VkrQeY3Oz59g+eIVeC4ynG2rZG7btqFy5QVfDdqNBXj549+l0fOHeCoN47T4yx2SUIIIYRYBm6Xl/e8533ctH3r3FjPhRN855U/4ZnHDvGtL50kncoVsUIhhFh5VwxhlFLblVLdK1nMKjW77mduOZLWOgYMAH6lVO0857QXHk9dNHYWyAEtSqn5fpOf7xyxSuSAp30Gdbt3s72msdjlrAuRbIrPHv8+7zv5DQ66IzgsCbiEEEKI9cY0TG7ddztvf8f9c71g0pkU33r2r3jl2BP80xdeZ6gnUuQqhRBi5VxtJszrwOMXDyil/lYp9cXlLWnVubXweO4t408WHn9knnN+9C3HUNiS+nnAC7xtIeeI1ee8ynGoqYq37dhLwCnbMC+FjLb57ZPP8MujL2CUuItdjhBCCCGWmELR3NjCIx95hPKK8rnxVw4/ydNH/45v/f0RXvzOBbTWRaxSCCFWxrWWI721dfmjwCPLU0rxKKV2KXV591Wl1H3ALxT++E9vefqvCo+fVUqVXnROM/CfgRTwd2855y8Lj58vbFk9e85e4GHys26+trhXIVaMUjzj1vh23szexpZiV7NuHAuP8d7DX+eYJ4FhykpJIYQQC2MYBg7LxHJZWB4nTp8Ly+/G8rlwel1YHieW24nltHBYDkzTQMnuPEXh8wR433vfx+49O+fGJqaG+cbzX+SlF17hK398hFg4XcQKhRBi+akrJc5KqThga639F43ZwLDWum6F6ls0pdSDwIOFP9YA7yA/m+WZwti41vozhWO/T3450PPAhcLz24F7C5//utb68/Pc44+AXyyc81XAST5MKQd+Tmv95285XgFfAT4EnAC+WTj2YcANfFBr/e8LeX179uzRr7zyykIOXTX2H3yM58Prb1en29IGp08cZTwRK3Yp68YtZfX8et0tZCPJYpcihBDiOhmmgWEYKFOhDAMUaENhK/IfaLJzHzZpbZPRNimdI6VzJO0sSTtLPJclbmeIZzPEchmi2TTRXJpIJk04myKcTRHJpMjdwOwJl2HicVh4DAdu08JtOvCYDlyGidtw4DIcuEwTlzJxmQ6cysBpOHAaBk5l4jRMLGVgGQYODCzDxIHCoQwcyqAWN7mwfC+bz9jECAe+c4BkMjU31tmyk+7aB7jng620bisrYnVCCHHDrpj2Xy2EOQZ0Ag9prb9WGFtLIcxvAb95lUN6tdbNhWN/Eng/cBNQAVjACPAC8Oda62eudBGl1KPkZ75sAWzgNeB/aK2/dYXjHcDPAZ8kv+tSsnCfz2utn1/o65MQZnUp1Qbd42GeP3ei2KWsG5Yy+OLW+2mKWWhbpicLIcRqZRgGuYDF8/Fh/qbvIJNpCR0u9vOt+3iHVUc6ITM83iqdTfGDH3yf8+d658a8bj/373mUlo5G7vnwZkyHzI4VQqxJiwphPgd8FtDABBAFmsn3KO2/jptrrXXrdRwvFkBCmNVpd9Zk+NRJBiKyydVSeaC6hU+X7yAdS137YCGEECtCKQUlTn6YHONLfQcZTsps0KvxmRa/13UPm5MuclnZDehiGptz58/w1JNPX9ITZv+ud1IX3Mm7P9lJeY23iBUKIcSiLCqE8ZBfOvOuG7y51lqbN3gN8RYSwqxePhS7pxI8e/ootjSYWxIe08Gfb3mA8gj5WFgIIcTKU2AG3LyemeB/9r1OX3ym2BWtOZ3+cj7XcgfOmUyxS1l1ovEwjz32GJMTU3NjddWb2Nf2Yfbe18yOt9UUsTohhLhu1x/CzB2gVCewjfwWzX8HzACfvp67a63/4XqOF9cmIczqt9V2kDp7ljOTG+c1L7eHG7byCX+7TOkWQogV5Ai4OZqb5m/73+BkdKLY5awL76vr5FNlW8lI77NL5OwcB19/hYOvvTE3ZhgmD9z2CeqrN/POR9txeRxFrFAIIRZs8SHMJQevoZ4w652EMGuDpeH2WJYXThwmnZPpx0uh3Onlz7ruxzuTLXYpQgixbll+F6eJ8vcDh3h9eqTY5axLCsWvtO9nvyonk5KZMRcbGRvisQPfJZV6cynyts5baau8m3d8tJ2GtmARqxNCiAVZshDmN4Go1vqPlqIqsXgSwqwtrdrE03uBIyMDxS5l3fjU5l28z2qUH1yFEGKJOH0ueow4/zR0lOcnLlz7BLEkypxuvtB5LzVRA9u2i13OqpHOpPj+00/R29M3Nxbwl3LvzZ+ge2cj+9/dJFuNCyFWs6UJYcTqISHM2qM0vC2pefX4YWIZWU6zFBo9Jfxx+72YM/L3KYQQi+H0uLhgpfjKyHEeHz1f7HI2tN2ldXy28RaMGWlEP0trmzPnT/H0U89c0rT37n0fpK50K+/5yU4Cpa4iViiEEFe0PCGMUmorsAeoKgyNAj/UWh9b9EXFgkgIs3bVa5PawVFeuSA/7C6V/9p2G3dRSTYjS5SEEOJaLLeTUWeWr4+f4ptDp4pdjniLjzVt5yP+NtIx6RczKxKb4cCBx5ieenP3yeaGDm5ufpC3vbuFzt0VRaxOCCHmtbQhjFLqHcAfADdd4ZDDwC9rrb973RcXCyIhzNpXrQ02Z8EZSzA2Oc7piRGyMg150boDlXxh89vQM/JDqxBCvJXltJjy2Hxz8hxfuXAMLVvNrWqWMvitrjvZkS0hm5Y3GABydpZXXvshh14/PDdmWU4euOUnaG5u5u0facXhNIpYoRBCXGLpQhil1P8N/HHhogrIAeOFp8uB2ZblGvgvWuu/uN5qxbVJCLP+eLWiwzYIJtLEZqY5NTZEOCWBwvX6fNfd7Ej7yeUk0BJCbGwOy0HEq3hspocv9x0mo+Xr4lpT7ynh99rvIhi2kRYCecNjgzz2ncdIp9/sCbf7pnvYXHEb7/xEB1UN/iJWJ4QQc5asMe8O4FXAAF4Cfht4SmudKjzvAu4Bfh24jXxAs1trfWjRpYt5SQiz/ikNbZjUpGxykTB94yNcCE9f+0TBvrJ6fqPuFrKy9acQYoMxHSZJn8mTkX7+rvcNkrbMolgP7qzYxGdqd2OH5fsaQCqd4KnvP0V/35sNpMtD1dxx00fZeUcze+6TjVyFEEW3ZCHMPwAfA74JfEBrPe+eu0opE/g68B7gH7TWP3Fd5YprkhBmY5IlTAtnKsUXt7yd5riFtuXdQyHE0jBMA8PnZJgkr0VH+dbIafrjYZyGgctw4DYduAwTl+nAbThwmY78c8qB0zRwzj2aWIaJUxlYhomlDCzDwFImDmXgUAaWMnAoNfdnUylM8p8bgEl+zEChgFdiI/xN7+uEs9LYdb36vzbv4d3uRtJx+W9sa5vTZ07wg6efnRtTSnH/rR+hvqqTdz3agcdvFbFCIcQGt2QhTA/QCLRqrXuucexm4CzQp7VuXvBNxIJICCPg0iVM0ZlpTo8OEU7Lu2QXe3tVC79QcbM0OBRCLIrltki6DM5lwzw7dYHHRs7K7BJRVB7Twe923kNbyk0uO+/7oRtKJDrNdw4cYGY6PDfWsXk7NzW8k/seamNTV6iI1QkhNrAlC2ESQEJrXbbA4ycBj9bas+CbiAWREEbMR5Ywzc9jOvizLQ9QGVGypl4IcUVKKRw+F5NmhsPxcR4bP8cb0yPFLkuIebX5y/h8y9twhzNs9D7LOTvLD195icOHjs6Nud0+3r73UTq3NnPn+5sxjCv+PiSEEMthyUKYScAL+LXWV30bSCnlAKJAfKGhjVg4CWHEQtVok81ZsKIxxqYmNvQSpg/Vb+GTgU7SCZnGLYTIN67NeRz06xgvhYf4j+FTTMpsQrHGvKumnZ+t2Lbh+6BprRkeHeCxA98jk3mzae9tO3+U5oo9vPuTnQQr3EWsUAixwSxZCPMccCvwUa31v1zj2I8AXwZe0FrvX/BNxIJICCMWK7+EySSYSBGemuTgYG+xS1pRZU43f9b1AL4ZWU4gxEbj9LqIWDYn09M8OdHL02O9slWzWDd+ue027jKrySTTxS6lqFLpBE88+QQDFwbnxmorm7i16yFufaCFrbdWFbE6IcQGsmQhzKeBLwLTwIe11k9c4bj7gX8FSoBf1Fr/yXWVK65JQhixVLptB64Lg7w+1FfsUlbUf2reyYPOJjKpzLUPFkKsORc30D0YHeU/Rk7TE58pdllCLKuQ083vddxNfdyBnduYs14BtLY5ceoYzz7z/NyYYZg8cNvHqa9uoWtPBZu6Q3ilca8QYvksWQjjAl4BtpJfffoC8DgwUDikAbiP/PbUCjgC7NFab+xIfhlICCOW2u6sSbS3l5Pjw8UuZcXUe0r4k/Z7cczIl6hVR4HlcmI7DZQGlbXJpbLYG3Qpnbg2y2WRchca6E5f4MCwNNAVG9eOYDW/vum2Df/9bSYyxYHvHCAcjsyNdWzeTmvdXsxMCIfppLEjyKauIJu6Q3h8EsoIIZbM0oQwAEqpOvLbT+8rDL31ArM3ewn4oNZ6ELHkJIQRy0JrbsuYXDh7mv7wVLGrWTH/te027qKSbEZ+YVtRFwUtYZVlOBvnXGKaw5ExXp0aJJa7fJbSJm+QDn85zd4g9a4AVZaHkOHCi4mVU5DJkUlLk8qNwOlzMenIcjgxwWNjZ3ldGugKcZmHG7by8WAnmejG7ReTzWV5+YcvcPTI8cuec7s8dLXuoa6sAyMdwnK4aOwI0tRVwqYuCWWEEDdk6UIYAKWUAXwIeBjYA8wurhwlP1PmX4Cvaa3lLctlIiGMWE6WhtuSmmOnTzCeiBW7nBXR6S/nN1v2E8yaZONp2UVpCVnuN4OWkVyCs4lpjoRHeeUKQcuNchomHYFy2nylbPIEqXX6qHB4KFEWbm3iyGpy6axs7brGOJwOkh6DQ6kJvjp0gmPy/USIBTGV4ne67mFr2rdhv+5prRkcucB3H/veVd9wcbt9bGndQ02oHSMTwrIsGtvzs2Q2dQVxeyWUEUIs2NKGMKL4JIQRK8GPwe5ImldPHyea2Tg7CgUcLu6tbGZvsJYWZwnBnINcPC1LYa5iNmiJqCzDuQTnE9McDo/x6vQQkezq/H+nzOmmM1BBizdEoztIteWlzOHCj4XLVhhZm6wsgSoaZSgMv4tzdpQD4+c5MHJGmugKcQO2Bav43KY7YGbjzopJpuI88eQTDA4MLeh4r9tPd+tuqks7MNJBnC5nPpTpCrKpK4TL41jmioUQa5iEMOuNhDBiJVVog+6pGC+ePUHG3pjvorkNB3dXNnNrqI42V5CQbWHH0xuq8aHltrCdJpHCjJZziWmORMZ4ZWr1Bi1LockbpNNfTouvlEZXgCrLS0hZeLSJmdVkkxkJapaI0+tizMrwXGSQrw4ck+2ihVgGn2m7lXuM6g3bmF5rTTqTZGp6iqGhQc6ePc/U5MKWYPs8frpa91IdasNIB3G5Cj1lukM0dQZxuSWUEULMkRBmvZEQRhRDkzapH53ixZ7T8o40YCmD/RVN3B5qoNMTolw70fHMmp3ubTktcBpkTIiRYyyX4FxyhiPhMV6ZGiS8joOWG9XsDdIdqKTFV0qDy0+Vw0NQOXFrAyNjk0lmZInbPGaXGB1OTfC1oZMcCY8WuyQhNoR6Twl/1H4P7pmNGcS8VSabYiY8zdDQEOfP9TAysrCvRT5vCd2te6gOtkEqgNvjpmm2p0xnCKeEMkJsZBLCrDcSwohi6rIdeAaGODjYW+xSVh2F4tbyeu4obaTbU0YFLoxEtqhNf5VSOFwOsExShiZChslciqFUlN5kmNOxSY6Hx0jkpDHxcjGVotVXRleggpZCU+EKM9+nxmUrVMYmm1r/QY1SCiPgokdHeWy8h++MnCa3zl+zEKvZx5q28xFfK+m4hOwXy+YyhCMzjIwMc/58D4MDQwv6+uz3Bulu3UNVsBVSATweN02d+VCmsSOIyy09ZYTYQCSEWW8khBGrwa6cSbynlxMbaFvrxdoZquGu8ia2eCuoVi4cCTu/i88NMgwD0+VAWwZJZRPWGcZzSQZTUXoS05yMTnImMkFG+qSvepYy6CqpoNNfTrMnSJ0rQIXpJoADp60gnVuTywecXhfjVpYXIoN8ZeA4E+l4sUsSQlwk4HDx/3TfR2VErfsgeLFydpZINMzo2Ci9Pb309fYvaBlqwBeku3UvlSWtkPTj9bsLuy8FaWoPykwZIdY3CWHWGwlhxKpR2NZ64Oxp+jbQttZLobukknvKN3GTr4I6w4OV0mSS6bnnTdPAdFlkHYqEyjGjM4xl4wwko5yLT3MyOkFPbFqWhm0gbsNBsy/EJm+QeneAapePCoeboOnCryzcGFi2goxNLpMtSs8ih+Ug5TU5kprk68MneGNGto4WYi14oLqFn6+4eUNvZ71QtraJxsKMjY/R19dHz/neBc14DfhL6W7ZQ2VJCyT9OJ1Oqhp91G72U7s5QE1TANNhrMArEEKsAAlh1hsJYcRq49BwWxKOnznBeDxa7HLWrFZfKY2eICeiYwwnN8b24GL5VDi9bPaHaPSUUOcKUOX0Umq6CZpOvJi4tIGR05BZ/MwspRRmwEWPjvG9iR6+NXxKlhgJsUZZyuD3uu+hM+kht4Eaz98orW3iiSjjE+P09/dz7mwPqdRF+f5mAAAgAElEQVS1l3g5LRetTVuprWjD56jCTrlxu51Ub/JT0+yndrOf6gY/hinBjBBrkIQw642EMGK18qHYE8lsuG2thVjrTKXY5M3PsmnwlFDj9FFheSh1uPErBx5MrMLW3SjFhJXlxcgQXxk8xlhKlhgJsZ7sKq3ltxpvw97A21nfCI1NIhlncnKCgYEBzpw5Rzy2sK+TbpeH1qZt1JS34jUrsFMuvD4XNYVgpq4lQEWdD6Wu+PudEGJ1kBBmvZEQRqx2Fdpgy3ScF84c37DbWgshhBBr2a907Ge/LieblsbtN0KjSaWTTE1PMjgwwNmz/z97dx5l6X3Xd/79u2vte/W+t1q7rMXtBcm2wGQCIZAwsQnmJMBAJhxnQs5hMJkMxhizhAAxYY6dhSFMWMIEO4GThQRDIMYLWHgsW0i21JK6W70v1VVde9Vdn+c3f9zbUqnVW1VX3VtV/X4d33NvPc/v9zzfp4+6XfWp3/IKM9Ozt9y/q6OHg3sfZNvQAToyI8Rqge7eDrbt62V7M5gZ2tq1hk8gaQVWJ4QJIXy4+fHXYoxnbrcqrZwhjDaKPTHLzvEp/vyE21pLkrTR7Ovq5xfu+gYKM9WbN9Ytq9YrzM/PMjExwfnzFzh96swtTWG6oqern7v2PsSWgf0UwxCxVqB3oLMxWmZ/LzsO9NI/3LGGTyDpJlYthEmABOiOMW68LRo2EUMYbTT3pjm6zl/kK+dOtrsUSZK0TH9n7yO8p3Mf1ZJhzFqIMVKplZmbm+Xy5QnOnTvPmdNnqdVu/Ueuvt4h7trzEKP9+ygwSEgK9A52smN/L9v397LjQA89/cU1fApJS6xaCDMGZGOMI6tRlVbOEEYb1aNJlvKp0xwZv9DuUiRJ0jIMFDr4pXv+EkNz0e2sWyCSUqmWmZmZYWJinHPnznP2zDmS5NaneQ8NjHJg90OM9O0hHxvBzOBoV3Ph31627O6md6DgGjPS6lu1EOa/A+8GtsYYL69CYVohQxhtaDHy9nqWC8ePcWpmst3VSJKkZfir2w7xvw0/5HbWbZDGlEqlxPTMNOMTlzh75hwXzl8gTW/9Z7rRoR3s3/UAw727ycc+0nqObCZLoSNP70CB3sEifcPFxuehAn1DHfQNFgkZgxppGVYthHkP8B+AfxJj/LFVKEwrZAijzSAX4fEKHDn6IuNuay1J0oZRyGT5p/e9m/2lIqnbWbdVGlNK5QVmZqYZuzTG2TPnGLt4admjlfK5AqPD2xke2E5f9wjdxQEK2R5C2kFay5LLZskV8vT2FxohzWCRvqECvUNF+oYaX2fdTlu6YvV2RwohfBT434FfBH4hxjhxe7VpJQxhtJn0k+G+i1P8+amj7S5FkiQtw1uHdvLjO99GMuuomPUkTRMWygtMT09xaWyMM6fPMj5++z+2ZbM5tgztYHhwO/09o3QVByhku8mknaTVLJlMlkIhR89gkb7BQuN9qEDfUJGewQL9Qx3k8tlVeEJp3Vu1kTCfbn48DHQDKXAMuERjwd5riTHGb7zlm+iWGMJoM3pHBb7ytWdZrLvutyRJG8mH73knb00Gqdfcznq9StI6C4vzTE1PMXbxIqdPn2FqcnrV75PN5hgdaoyoGegdoas4SCHb0whqalkCGQrFPN39efoGi/QOFRkc7WBkZxfD27vI5QxptCmsWgizkrGGMcbo36RVZgijzWp/zFJ85RQvTlxsdymSJGkZDnYP8vMHnyTndtYbRpomVOtVqtUKpVKJUmmRufl55mZnmZ6eYWpyisXF0qrfN5PJMjq0jeGBHfT3jtLXOUIh009ayZPL5hnc0snIji5GdnYxsqOTkR09hjPaaK4bwuSWeaGfvM1CJOmGToSE/IFdvGtkC59/8atE3H1BkqSN4PjCFO997j/x/v1v5tsKu6mVDWPWu0wmS0ehk45CJ309A9dsk6YJ9aROpVahUi5RKpWYn59ndnaWmdlZpianmZudW9YaNGmaMDZxjrGJc284F0Jgx9Z97Nx6kIHu7RQzA6TlAtl8jqHRToZ3NAOa7V2M7uwml1/uj7RSey17TRitD46E0Z3gsSTL2Rde4NLiXLtLkSRJyzBc6OKX7v1G+mYT/H3K5hdjSj2pUa1VqVQrlBYXWVhYYG5+npmZGaYnp5menlnW9tpXWxrODHbvoBAaI2cyuRxDWzoZ2d7J8I4uRnZ0Mbqjm3whv4pPKC3b6i3Mq/XBEEZ3imEyHDg/wZfOvNLuUiRJ0jL9zzvu5e8O3Ed1odLuUtRmkUi9XqeeVKlWKiyWSiwuLjA/P8/k5BQXzl9kYWFh2dfNZDJs37L3deFMUsmTzWUZGu1geEcXwzu6GdnRyej2HgpFwxm1hCHMZmMIozvNO0vwpRf+gnLdBf8kSdpIOjI5Pnr/N7JnMe921rqhelKnXF5kfmGOqakpJiYmuHDhIjPTs8u+ViaTYcfWfewYPchgz3YKYYCkkiObzTA42hw1s705tWlHD8WOwho8ke5gqxvChBC6gP8V+CZgL9AZYzy45Hw/8FdpLMr728u+gW7KEEZ3okMxRzx2nGOT/nckSdJG89jgdj68++0w46gYLU+SJlQqJeYX55iZnmFiYoKLF8e4PDG5rLVo4HrhTJZMNkuhkCWTgZAJZDKBkM2QCc2vs4FsJhAygZCBTCaQyWYa5wJkslfOBTJLzmdePda8ZqbZNgSyzT6Na2ea5zJ09uTo7s/T01+gq6e4Rn+qWmOrF8KEEB4B/jOwa8mFX7cDUgghAM8D9wD/U4zx02+4kG6LIYzuVEUCb51c5PNHn293KZIkaQV+YP9jfHvHXqqLhjG6PWlMqVbLzC/MMzM7w+XLlxm7OMalsXHSdHmjrkIIFAsdZDM5MtkcuUyWTPOVy+bIZBufs5lM43jIks023sOrnzOETJZsyBAymcbXIUvmymcan0NovDLNd8iQCYFAo30uUyQTi8R6njQJ5LJZcvkcXb2Nrb27+wr0NN+7+wt09+XpHsjT1W1gs46s2hbVw8BzwHbgy8BvAx8Geq/ehjqE8AHgnwIfizH+0AqK1g0YwuhO95Z6llde+BqXS8ufOyxJktqrM5vjF+57N3sXC05R0qqLMVKtlVkoLTA7O8vk5ctcGrvEhYtj1Gsbc2p7JpNlsH+Uof4t9PUM0d05QEe+l3ymqxHY1HLENJDN5sgXc41gphnWdPXl6e4v0NN87+7P09Hp9Ks1tmohzM8AHwT+B/BNMcY0hHAB2HKNEOZe4AXgSzHGt62obF2XIYwEW8iy6+xFvnLuVLtLkSRJK/BQ/xY+svcJsk5RUgvEGKklVRZLC8zNzTE5eZnxS+NcOH+Rcnnz/DeYzeYYHtjKYP8WersH6e64Eth0EtIisd4IbHK5LIVijq4rI2t6C3T1N0bb9A93sH1fL41JLlqBVQthngUeBA7HGJ9pHrteCBOAMjAXYxxZSdW6PkMYqSlG3rUYeeqFZ6mlK9/2UJIktc/37n2Y7+w+4C5KaosYI/WkRpImEGNzV/XY/N+S90ZjGj9CN45c+Xm68b7k3JK+jWtG4qt9l7QHYvr6z5VKmcXFReYXFpibnWN2ZpaZmRnq9dX/XreQLzI8sJWB/lF6u4bo6uinI9dDPtNNpt7NzoMD3P3YEPvvHyKby6z6/TexVQth5oAc0BWbHa8XwjTPjQP9MUbHOq0yQxjp9e5Nc5SPHuXk9OV2lyJJklagI5PjZ+/7Bg6VO0jW4IdNaSOLMZLGlCSpUa1VqVQrVMplFkuLLC6WmJ+bZ25ujpmZGeZm50jT1dkF+b6Dj7F/22Pk6gNs2dXPoUeHOPTwMIWO3KpcfxNbtRBmAUhjjL1Ljt1oJMwiUI4xDi67ZN2QIYz0Rl0x8Njlef70+JF2lyJJklbovt5Rfmr/E+Rnqu0uRdqQYowkaZ0kqVOtVahUKpTKZUqLiywsLjA/N8/s7Bwz07MsLNz6+op7d97NPXvfRjHdwuBwL4ceHeLuR4fp7nNB4GtYtRDmZeAgsD3GeKl57HohzFuBPwf+Isb42Eqq1vUZwkjX9/ZahiPPf5WZSqndpUiSpBX6rl0P8t19h5yiJK2hK4FNrV6lWq1SqZQplUrMz8/z4osvMXl56pr9Rod28OChd9Cb3UVXVxeHHhnmnsdGGBjtbPETrFvXDWGWO4boMzRCmO8Dfv4mbX+Cxgy4P1rmPSTptvx5PmXHw29i7+nzPHfxTLvLkSRJK/DbZ7/G74QX+Jl7v577q91OUZLWQAiBXDZPLpuns9gNva+du//ehyhXFrkwdoEXj7zIubPnXz03PnmeP/nivwegt7ufhyffxbNPHaSQ7eLgQ0McemyIbXv6Wv04G8JyR8I8ADwLLADviTH+8dUjYUIIW4F/BnwXUAHuiTGeXvXK73COhJFuLhPhnQsJf3bkWeqp219KkrRRHewe5GcPvoviTK3dpUh3rGqtwvjEGEePHuP4sePXXHemkC/y8L3vYFv/vWRjL/vuHeTux4bYfWjgTttpaXWmIwGEEP4P4OdojHJ5BrgfKAKfBPYCbwbyzZu+P8b4KyurWTdiCCPdugfTLDMvvcyZ2WsPp5QkSRvDe3bex/cP3EdtvtzuUqQ7WpLUuTw1wYkTr/DikZeoVt8YkGYyGR449Fb2jD5MLulnx/4rOy0Nksu/YV+fzWb1QhiAEMLfAT4K9C85HJfcaBr4oRjjby774rolhjDS8vTGwEPjM3zhxMvtLkWSJN2GbAj81L1P8nCtj3qt3u5ypDteGlNmZqc4ffoUz3/tyHUX+71r74PctfMtFOIwo9v7ufvRIe56ZJji5txpaXVDGIAQQg/wHuAJYAeQBS4Cfwb8hxjjzIourFtiCCOtzOPVwFeff465qov8SZK0ke3p6ufn7nqSrtl649fBktouxshCaY5z587y/PNHuDxx+Zrtdm7bz337vo6usJ3+wR7ufnSYQ48N07N5dlpa/RBG7WUII63cnpil9+QZnr90/uaNJUnSuvZt2+/m/cMPUptzipK03pQqi1wcO89LR17izJlz12wz2D/Km+5+J/2FvXR1dnPwTcPce3iYwdGuFle7qgxhNhtDGOn2ZIF3zNb4/IvPkfrvoCRJG1og8BP3vJPD6QD1qlOUpPWoVq8wPnGJo0ePcezosWsu7NvV0cPD972Dka67Kea6+ebvvodte3vaUO1tW5sQprlb0mFgS/PQJeDpGOPzK76obokhjLQ6Hk5yXHrxCBfmnUEpSdJGt7Ozj58/9CS9syn+sllav5K0zuTUBCdOnODICy9ec2HfbDbHj3/kRzn89ofbUOFtu24Is6IVcEII3wr8LPDAdc4/D3woxvhfVnJ9SWqVZ7N1Bu6/m7eNTfHFU8faXY4kSboN50qz/O3nfo9v3nqQHxx9mLpTlKR1KZvJMTq8jdHhbRx+89uYnZvm1OlTvPD8Eebn5oHGDkzVWqnNla6+ZYcwIYQPAz/Ba8lOHbiy2s5w85oPAv8xhPDTMcaPrEKdkrRmpkPki9sGeMvI2yjOzPHKxXOcd2SMJEkb1h+MHecPxo7zY3e/g8cZplZ542/ZJa0PmZBhoG+IgQeHeNMDj7BYmuPs+XMcef5Iu0tbE8uajhRC+Gbg95tffg74GeDzMcZK83wBeBfwQeDraaxT/i0xxj9cxZqF05GktXYwZtlZqjN3eYIXxs5RSZxfLknSRrSl2M0v3PMNDM5GpyhJG8yb3/4gu/buaHcZK7Fq05F+uPn+H4D3xav+FYsxVoE/DiH8D+ATwHc0+xjCSNpQjoeE410Bukbp2rWFw0mGzrkFTo2d5/TMZLvLkyRJt+hSZYH/5bn/yjeM7uOHtj9GmK+SJmm7y5J0CzLZbLtLWHXLDWEO0xjd8sNXBzBLxRhjCOEDNEKYt9xGfZLUdosh8nQugcEOGDzAnniIveWE0uRlXrh4lsW6Q5wlSVrv/mT8JH8yfpJsCBwe3MHbB3dyb+cQWzOddNSgWqo0ftKRpDW03BCmAEzHGK+9wfcSMcazIYSpZh9J2jROh4TTncDOYYo7R3gsydAzt8jZSxd5Zcopd5IkrWdJjHxx8hxfnHz9jzQDhQ6eHN7Lo31bOVDsZzDmCeW6W15LWlXLDWFeAe4JIRSaU4+uK4RQBHqAF1danCStdxUiX8kmMFCEgb3sjAfYX0moTk1x5OJZ5qqVdpcoSZJuwXS1zH++8BL/+cJLrzt+T88w7xjezYPdo+zMd9NdC9RLVWLqsBlJy7fcEObf0dia+nuAX71J2+8G8s0+knRHOBcSznUA2wfJbRvk4TTLwEKJC5fGePnyWLvLkyRJy/TS/GVemr/8umOFTJbHh3fz1v7tHOocZDQUyVcitfINf08tScsOYX4R+BbgYyGEWozxN67VKITwPcDHgM83+0jSHace4NlsAn0F6NvNlrv2caiSkk7PcOTCGaYrpXaXKEmSVqCaJnxm/CSfGT/5uuPbOrp5cmQfD/dsYW+hl/40RyzVSOpJewqVtO5cN4QJIXz4Oqc+DzwE/JsQwk8CnwGuTKjcCTwJ7AFmmm0/CPzUKtUrSRvWJRIuFYGtfWS2PMCDMcvwQoXx8UscGb9AdDVASZI2tIvlBT559nk+yfOvHgsEHh3cxtcN7OS+7mG2ZzrprAdqi1W3zJbuQOF6f/FDCCk3Xh/8yr7XV7d5w/EY4+bbV6rNDh8+HJ9++ul2l7EsTzzzh3xh1kVLpWsZJsPdVcjMzHBhapJSrcpCrcJ8tULqN2iSJG06ndkcTwzv5rG+bdzVnNJUdJcm6XXe8sTD7Ni1td1lrES43okbTUf6HP71l6SWuEzKUwVgtLfxWqIzQjcZugh0AsU0UIiRfBrJxpRsEiFJIElIk4R6Uqder1Ot16jUapRqVRZrVRaqFbfTliRpnSgldf740gn++NKJ1x3vyxV5Yng3j/Y3dmkaCR0UqinVkuvNSJvBdUOYGOPXt7AOSdJ1lAKUSF878IaxhYHGP+c3X+YrE6GHQBeBbgIdsRHoFCLk0kg2TQlJ2gh06nWSeo1qrUapWmWhUmauWmamUqKepje9lyRJWr7ZeoVPjR3jU2PHXnd8qNDBO4b38kjfFvYX+hgKRXKV1MWApQ1muQvzSpI2sDTALJHZKwMdrzlQMtN85YHOa16nhwx9MTQCnTRSTJsjc+rNETn1GvVanUqtSqlaYb5SZq5SZrZadnqVJEkrMFkt818uvMR/uWoL7W0d3TwxvIc39W5hX6GXwVggW0moVRz9Kq1HhjCSpGWbJ2X+SoCT5bXROcWlAc4bhQh9oRngxEBnbAY4SSSTJFCvk9Tr1Gs1KrXG6Jvjk+Mk0ZE3kiRdy8XyAr977gi/y5HXHd/d2ccTw7t5qHeUPfleBmKeUK5Tr9bbVKkkMISRJLVQDDBLymzgtVE4WZqZTQYoNF+vGWUv95USJscu8rWxc0iSpJs7U5rlE2ef5xNXHT/YPcjjw7t5sHuEHfluuslRSAOZekq9Uid1yrG0plYUwoQQ3g28D3gTMMj1fuXZEGOMB1dyH0mSxkkZ7wywbzu79+7iwGKNc+fPcGzS3dYkSVqu4wtTHF+Yuu75HR293N0zzN7ufnYWe9iS72IgW6SHHMU0QzaJJNU6ST1pYdXS5rGsECaEkAN+E/jOK4duoZuT/yVJq+JMSDjTnYFDezkUD7JjrsTxc6c4Ozvd7tIkSdoUzpfnOF+eg4kbtxsudHF37xD7OgfY1dHL1kIXQ9kOekOejtgIa9JqQr3m9CdpqeWOhPlHNEbAAHwe+ENgDPBvliSppY6GOkf78tB7kAdjjsGZBY6cPcnE4ny7S5MkadO7XF3kqcuLPMXZG7brzRU51DvEga4Bdnf0sbXQzXCug75Mno6YJZdArNQNa3THWG4I8700Rrb84xjjh9egHkmSlicEvhYSGOwgM3AvjyVZOqdn+OqZk8xWy+2uTpKkO9pcvcJXpi7wlakLN2y3pdjNw/1bubdnmL0dfWzJddFHjkIdknKNJHGtGm0Oyw1hdtMIYX5uDWqRJOm2pAG+kktgpIfiyEO8vZaBy5P8xbkTlOv+hk2SpPXqUmWBP7r0Cn906ZVrnt/X1c+b+rdxd/cgu4t9jGQ76CVHrhapl2suKKwNY7khzDjQE2NcXItiJElaLRUif55PYFs/vVsf5c3VQGn8Es+eP+2W15IkbTAnF2c4uThzzXOBwH19IzzUt4WDnYPsLHYzku2gK82SqabUKzVidKlSrQ/LDWE+B3xXCGFXjPHGk/8kSVon5kLkz4oRdo0wsnML95dTJscuuOW1JEmbQCTywuw4L8xee+fEQibLm/q3cn/vCAc6B9hR6GEoFOhIM4RqQq1Sa3HFupMtN4T5OeDbgZ8H/tbqlyNJ0tqaCCmf6wT2bWfnvl3ctVDj/PmzHJ281O7SJEnSGqimCU9PnefpqfPXPN+bK/LIwFaG8p1kQiAbAhnCa59DhmwIZJvHMiGz5POVtpAhkA2ZNxzLkCG8+rl5PGTI0BjFc+VYoHG/rpCnO+TooLHLFPWUerVOTB3NsxksK4SJMX4thPCdwG+FED5FI4z5UoxxYU2qkyRpDZ0j4Vx3Bg7t4a54gJ1zJV45d5ozs1PtLk2SJLXIXL3C5ydOt7uMm9pa7GZ/9wC7OvvZXuxmtNDFUK6DvkyBLrIUm1uDxyuhjVOw1qXljoQB+APg48CHgL8MEEK4UfsYY1zJfSRJapljoc6xvjz0HeT+NMfIzDxHzp5k3C2vJUnSOjBWWWCssgDcfDp1ILC7q4+9Xf3s7uhjW0c3I7kuBnNFepuhTT4NZNNIWk3cIryFlhWOhBC6gN8H3nnl0KpXJElSm72Qqb+65fWjaZbu6TmOXjjD2MJcu0uTJEm6qUjk9OIMp6+zmPHV8iHD3u4B9nb2s7Ozlz0dfTzUOUxPGWpl18xZTcsdofKjwLuABPh3wB8CY8C6is1CCO8FngQeAR4GeoH/N8b4t2/Q53Eao3veDnQCR4F/A3w8xphcp8+3Aj8CPApkgeeBfxlj/I0b3Od7gb8P3E/jz/EZ4KMxxv+6zMeUJK2xNMAz2QSGu2D4Hg7FHNtLVeYnJ3lh7KzbXkuSpE2hFlOOzU9ybH7yDee+fnQf3zp6kEO5PsJ8jTRxl8nbsdwQ5ruACPxQjPFfrEE9q+VDNMKXeeAscO+NGocQ/jrwu0AZ+CQwCXwb8EvAE8B3XKPPD9KYlnUZ+C2gCrwX+PUQwkMxxh+5Rp+PAh9o1vSvgQLwPuD3Qgj/IMb4z1fysJKk1jga6hztykDXCB07R3ksydA7v8jZSxc5PnXtHRkkSZI2ss+Mn+Qz4ycB6M7mee+u+3mybxdbkwK1hUp7i9uAwnIW6wkhlGiM+OiNMa7bP+0QwjfQCDqO0RgR8ydcZyRMCKGv2a4feCLG+HTzeAfwaeDrgO+KMX5iSZ99wIvAAvDmGOPJ5vFB4EvAQeDxGONTS/o8DvwZcBx4S4xxasm1vgx0A/deudbNHD58OD799NO30nTdeOKZP+QL19k2TpI2um0xw13VSDI9w4sXzzJVXmx3SZIkSWvqrp4hvmPHfTzaOUp3Ka76dt9veeJhduzauqrXbJHrLt2y3JEwl4C+9RzAAMQY/+TK55ssGgyN0SujwG9eCWCa1yiHED4E/A/g7wGfWNLn+4Ei8PNLQ5MY41QI4WeB/wd4P/DUkj7vb77/4ysBTLPPyRDCvwB+HPg+4Cdu8TElSevIxZBysQhs7SNsuZ/7Y5bRxSqTl8c5cuk89dShu5IkaXM5Nj/JP3n5z4DGYsB/act+vmXkIAezvTBfJfX7nzdYbgjz34HvDyHcE2N8aS0KaoN3N9//4BrnPgcsAo+HEIpLwqcb9fnUVW1u5T6fohHCvBtDGEna8GKAF0ICPVno2Ubfnu3cl2QozM5xYuw8Z2en212iJEnSqopE/ujSK/zRpVcA6MsV+Zu77ucdfTsZreedutS03BDmp4H3AB8LIXxrjHEzLJN8T/P95atPxBjrIYQTwAPAAeDILfS5EEJYAHaFELpijIshhG5gJzAfY7xwjRqONt/vvo3nkCStU7Mh8sVcAkNdMHQXe2OWveWE0tQkRy6eY77mNyWSJGlzma1X+NWTz/CrPAPAfb2jvHfHPTxcHKGjlFKv3pkbHCw3hAH4OzSm23w5hPDPaKyBcsM9O2OMp1dwn1bpb75fb++uK8cHltmnu9lucYX3kCRtUqdCwqlOoHOI/PYhHk6zDCyUGRsf46WJMSK3vl6bJEnSRnBkbpyffqmxRmgg8C3b7uKbhvezP9NDOl8hpnfG9z/LDWFOLPncTyOMuZm4gvvoGkIIPwD8AMCePXvaXI0kaTXUAjybTaAvD327GDmwh0M1yMzMcvTiOS4t3vD3HJIkSRtOJPLfLh7lv11sTAoZKnTwN3c+wOO9Oxip5agubt5RwssNR266yu0q9WmlK6NQ+q9z/srxpRP4Z4CR5rnLN+gzc9X7cu7xBjHGXwF+BRq7I92orSRpY5oIKRMFYLQHRu7mUMyxo1RjdvIyL4ydo5LcmUN3JUnS5jVZLfPLJ77ML/NlAB7u38rf2HYvd6UVdrS5ttW23BBm/5pU0V4vAYdprMfy5aUnQgg5Gs9cB165qs9Is89TV/XZTmMq0tkY4yJAjHEhhHAO2BlC2H6NdWEONd/fsMaMJOkOFgJHQ8LR7gx0j1LcvYWHkgyD5Rrl2RlemRhjYnG+3VVKkiStqmdnxnh2ZowH7zvAA2yuWSDLCmFijKfWqpA2+jTwt4BvBn77qnPvArqAz121LfengSeafZ66qs9fWdLm6vt8d7PPr91iH0mSXlUh8tVsAt0Z6B6E7YPsiVl2VSPZhQXGJic4NnmJNDpYUpIkaT3KtLuAdeB3gAngfSGEw1cOhhA6gJ9pfvmvrurza0AF+MEQwr4lfQaBDza//OWr+lz5+sea7ZHp8LUAACAASURBVK702Qf8/eb1rg5nJEm6odMh4QvFlM8PdfLyXbvpeutbePTNb+PJBx7hsZ376Ct2tLtESZIkNW3KBXNDCN8OfHvzy23N968LIfx68/NEjPFHAGKMsyGEv0sjjPlMCOETwCTw12hsRf07wCeXXj/GeCKE8A+BjwFPhxA+CVSB9wK7gF+MMT51VZ8vNHeT+mHguRDC7wAF4DuBIeAfxBhPrtIfgSTpDjVPyjM5oCcHPSOEnSPcRY5tlTpxbp6zly9xamay3WVuOJkQ6M4X6MoX6Mjl6cgXKORyFLI5FqsVzs1MMVstt7vMthjq6GJn/xB9Pb3kOjogRkhTYpqSJglJmpAkCfUkoZbUqdXrVJM6lXqNSr1OqV6jVK85gkuSdEdYVggTQvieldwkxvibK+l3Gx4BvveqYweaL4BTwI9cORFj/E8hhCeBHwPeA3QAx2gEJh+L8Y3fFcQYPx5CONm8zvfQGFX0AvChGONvXKuoGOMHQghfpTHy5QeAFPgK8E9jjP91ZY8qSdL1xQDHqHOsA+jogdEehrmLA3XoWiwzNTXF0YmLlOq1dpe6KvKZLN35Ap35Ap35PMVcnkIuTz6bJZ/Lk8lmyeayhEwWshliJkMaMiTZQD1ALWSohkglQBkohchCjFRCZA64/l5VOxmJGbangf56SrZSoby4yOW5Wc7OTlKub+wFlXOZDLv6BtnSN0BnVzdJR5GZfJazIWUypKxGrFeI0BEydEYoEigAhRgoxEguQi5GshEyaUpIU0KMkDTCnpgmJElKktRJkpRqvcZcucRUaYHpSmkVqpMkaXWEa+QL128cQkpjy+nliDHGTTnipp0OHz4cn3766XaXsSxPPPOHfGF2vN1lSJKukotwKGYZrdSpzs5ycmKMi/OzbamlkM0yUOyit9hBd7GDjkKBfL5ANp8n5HIk2Qz1bIZyJkM5QJlIOQOLRBZjSn097skYIzvIsTWFnlpKKJcpLS4wPjvD2bkp6mna7gpf9bpRLV2dlAp5LmXgbEjW55/tLchFGCbDAIHuBDrTSLZWJ9Tr1KpVKtUKC+USU6VFJksL1NKk3SVLkpp+99u/j79x98PtLmMlrvv/mssNR05z4xCmHxhofl6gsdaKJElax+oBjoSEI50BOvthaz/bY4Z9NcgvLDI+dZmjl8eWFRa8Pkwp0lEoXjdMWczAHCkzRBZD5BJw6YZXT5uvq6zXkCAEzpNwPgtkgY4iDBRhxxBZ9rMnZtmSQFetTiyVWVicZ2x2mvNzs8Rl/+7r5pY3qmXjBxL1AGOkjMFr3/kWMjRmhReAntcax0g/GQZjhr4Y6EpTCklKqNVJa1Wq1SqL5TKz5UZgM1etXH07SZJuaLm7I+27WZsQwiHgQ8B3AP8oxvjvV1aaJElqlwsh5UIBKHTA4E469+/k/jTLYLlGUi6TyeUI2SxpLkctG5phSmQemCa9vTDlDpLQWFz5dA7IBejshKFOYJQigV1phpEUOio1klKJ2YV5LsxOMX4LW5PfaFTLyQAnX20ZgY09XWrVhMAMkZnQDJ+yQB7oyNH4trnrdc2LBIZjhv4I3SkUk5RcPSHWatSrVS5MXebEtL+TlCS9ZtWnCcUYjwLfG0KoAb8ZQng5xvgXq30fSZLUOqUAz726PfbSH0Rj83VnhylroULkeCbheAbIZaC7G0a6ga30kGFXmmGwnlKo1qiXS+TyhU0/qmW9qRA5HxLOBxqrA+aAYgYoNl5benkovYu+yRmeOXWMxU2y9pIkaeXWcq2WjwDfD/wojR2AJEmStArmSXkxkzZn1GSh58qUGke1rDdfzdRhpJve4Ud4RyUyef48L4yfb3dZkqQ2WbMQJsZ4NoQwDTy5VveQJEmSNoK5EPnTDuDADg7t38326QW+evoVpsqL7S5NktRCaxbChBA6gD7AcZeSJElS09GQcHSwg8LA/XxdLUN5bIy/OH96TRZiliStL2s5Hen7aMyOPbeG95AkSZI2pGqApwop7B5l965tHJgv89LpE23bIl6StPaWFcKEEPbcpEkHsBt4D431YCLwH1dWmiRJknRnOBMSzvTmydx/N4eTLNnxy3z57CvL2hpekrT+LXckzIlltA3A88DPLPMekiRJ0h0pDfB0LoHtA4xuP8z9C3VOnTnFyZnL7S5NkrQKlhvChFtsdxz4beDnY4wLy7yHJEmSdMcbJ+Wz3Rm4dz9vSg7RMznNM6ePU3Kra0nasJYbwuy/yfk6MBVjdJl3SZIkaZU8l63DaA99I49wuALj587w4sTFdpclSVqmZYUwMcZTa1WIJEmSpBubDZHPdwAHd3HPgb1snV7g2VPHmamU2l2aJOkWrOXuSJIkSZLWyEsh4aXBDoqDD/J4FRYvjvHshTNudS1J65ghjCRJkrSBVYh8oQDs2cKe3dvZP1fmxdOvMLYw1+7SJElXuWEIE0J412rcJMb4udW4jiRJkqTrOx0STvflyT54D2+tZ+HSBF8+e4IkutW1JK0HNxsJ8xm47fGM8RbuI0mSJGmVJMD/l0tgxyA7d4xw1/Qiz5w4ymy13O7SJOmOdivhyK1uSy1JkiRpnTlHwrmBIj2Pvol3lRJOnHyFM7NT7S5Lku5INwthbrYl9bWMAj8OfCsGOJIkSdK6ME/K5zoD4d6DvK2eoXT+PM9dPNvusiTpjnLDEGY5W1KHELqADzRfvTQCmBeBD95OgZIkSZJWTwzwxXwKe7dx356dDE5M86WTx6ilSbtLk6RN77bXagkhZIH3Ax8CttAIX84CHwF+PUZXAZMkSZLWoyMhgdFeto0c5p65Ms+dOMpUebHdZUnSpnVbIUwI4X3ATwMHaIQvU8DPAR+PMbrqlyRJkrQBXAwJF/vydL7pft5ZgbOnTnJieqLdZUnSprOiECaE8JeBfwI8QiN8KQEfB34uxji9euVJkiRJapVSgM93AHfv5XBykPTiRb5y7pZXKJAk3cSyQpgQwmEaI12+gUb4kgC/Bnwkxnh+9cuTJEmS1HIh8HQugV2jHNq5na2XZ/jSyaNUknq7K5OkDe2WQpgQwl3AzwLv4bUdj/4j8MEY40trVJskSZKkNjsa6hwd6WZk+DHevlDl+RPHmFicb3dZkrQh3TCECSFsA34C+H4g3zz8WeD/jDF+cY1rkyRJkrROTISUz/bkKDx4L++oBi6dOc3Ll8faXZYkbSg3GwlzHOigMfrlWeBHY4x/sOZVSZIkSVqXqgH+tBjhrt08un8/ubFLPH3mBJHY7tIkad27WQjTCcTmaxD4lyGEG/d4oxhjPLiC2iRJkiStY89k67BjiP3bR9k1Pc+XX3mZxXqt3WVJ0rp1K2vCXEld9qzwHkbikiRJ0iZ2IiScGOxk4LFHeMtiwksnj3FxfrbdZUnSunOzEOYnW1KFJEmSpA1vOkQ+250h+8DdfF0tw8yZs7ww7iaqknTFDUOYGKMhjCRJkqRlSYCn8ikc2MFD+/bQfekyXzp9nCSm7S5NktrqlraoliRJkqSV+GqmDtv62bH1LRyaK/PVE0eZLC+2uyxJagtDGEmSJElr7nxION+Xp/jwA7yjAhNnz/DixMV2lyVJLWUII0mSJKllKkT+tAgc3MWD+/fROzHJ06eOU0uTdpcmSWvOEEaSJElSW3wtU4ctfWwdfTP3zld54eQxxhfn212WJK0ZQxhJkiRJbTUWUsZ6c+QfvJfHaxlmzp3j+Uvn2l2WJK06QxhJkiRJ60ItwBcKKezfzn17dzN0eZqnTx2jktTbXZokrQpDGEmSJEnrzpFMHUZ7GB59jLcv1Hjp5HEuzs+2uyxJui2GMJIkSZLWrcukfLY7S/aBu3l7LUPpwgWevXCm3WVJ0ooYwkiSJEla9xLgz/Mp7NnK3bt2snVqlqdPHqVUr7W7NEm6ZYYwkiRJkjaUlzN1Xh7uYmDoEd66mHD89CucnZ1ud1mSdFOGMJIkSZI2pOkQ+Wx3hnDvXbwlyZJcvMhXzp1qd1mSdF2GMJIkSZI2tBjgS7kEdo1yYOd2dk3N8ZWTx5ivVdpdmiS9jiGMJEmSpE3jlVDnlaFO+gbfxLvKKadPneTkzOV2lyVJgCGMJEmSpE1oNkQ+1xngnn28OTlEGLvEl8+eIBLbXZqkO5ghjCRJkqTNKwS+nKvDziG27xhhaxroTCL5JCHU6iS1GpVKmYVymZnyIhOL81SSerurlrRJGcJIkiRJuiNcCCkXskAWIEBnHsgDXa9r1xcDQ2Toi43AptgMbNJalWqlykKlxGxpkculBRZq1dY/iKQNyxBGkiRJkpaYDZFZEghAhkZO05Gj8eNTFzDwatvOCMNk6Y+B7rQR2GRqCbFWo1qtsFguM1teZKq0yEyl1JbnkbR+GMJIkiRJ0gqVApwl4eyVwCYHFK8Mt+kA+l9tW4gwTIbBGOhLIoVqnVipUCotMrkwx8W5GRbrtbY8h6TWMISRJEmSpBaoBrhAyoVXR9hkoLsT6ASGARiJGbY0Q5pitU7aDGkuz89xYX6act31aqSNzBBGkiRJktaJiZAycb2QJkZGyLIlZuivpxRqddJymYXmSJoLczMuKiytc4YwkiRJkrQRhMAEKRMhhQJQyEB3F411akYgRkZDlq1poLceKVRrJJUKi6VFJufnOD8/TTVJ2vwQ0p3NEEaSJEmSNoMQGCdlPEMzpMlCz+tDmq1kGY0ZepsjaUhTSBKSJCFJ6tTrdar1GtV6nXKtxmKtSqlWZb5WIY2xvc8nbQKGMJIkSZJ0JwiBMVLGlo6keXU14ZvriNBNoIsMHRGKBIppJBchl6Zk00hohjrxGsFOpV6nXKuy+OqrRsRgR3cWQxhJkiRJ0k2VA5SJXL6yfTc0MpzXuRLs5G96vRChOwR6YqCLQFcMFGOkkDZCnUySEJK0EejU6yT1OtV6lXK1RqlWZaFaYa5apuSOUtpADGEkSZIkSS0XAywQWQjN0TBXgp3slRZLR+oUr3udXIReMs1ROoHONFKIkXwzzAn1BNKUtF6nXq9Rr9ep1KqUqo0ROfPNMGcl063Cq0VDCCs7vvQYQDVJHCG0iRnCSJIkSZI2rHqAKVKmrhzIXt0i23zlaew0dQ0xvi4MuWYIEsIbDsXrfL5dhQgdIUMHgWJszh4D8jGQi40pYNk0komRTIRMmkJMm2v8pKQxJSZpY0pYmlBPEupJnVqSUK3XqSZ1KvU6laROuV5zV60WMoSRJEmSJN3ZQrgqRHlj4NJK1QBVUmavLuW6ZQVeC5uWL0ToADrIUAyB7gij9UixVGFhbpbTkxNcWpxb0bX1eoYwkiRJkiTdwWKAElAibRwIcDwP5PPQNww7hxmJGfYmgZ5Kjer8PBemL3N6ZtJds5bJEEaSJEmSJN3QREiZyAG5DHT3wdY+uuIBDsQMg9UEFhaZmJnixNQ45brTm67HEEaSJEmSJC3bYoh8LSTNuUxdMNxFJu7kIFm21lJypQpzszOcnBxnqrzY7nLXBUMYSZIkSZK0KtIAx0k4XgAKBegfhd2jbI8ZdiXQVa5Rnp/j3NQEZ2en211uyxnCSJIkSZKkNXUhpFzIAT1Z6BmAbQP0kWF/Euiv1kkWFhifnuLE1AS1NGl3uWvGEEaSJEmSJLXcLCnPZoHOAJ09MNJDPu7mHrKMVFOKXd3tLnHVGcJIkiRJkqR1oRbgJRJeKkKlWGh3Oasu0+4CJEmSJEmS7gSGMJIkSZIkSS1gCCNJkiRJktQChjCSJEmSJEktYAgjSZIkSZLUAoYwkiRJkiRJLWAII0mSJEmS1AKGMJIkSZIkSS1gCCNJkiRJktQChjCSJEmSJEktYAgjSZIkSZLUAoYwkiRJkiRJLWAII0mSJEmS1AKGMJIkSZIkSS1gCCNJkiRJktQChjCSJEmSJEktYAgjSZIkSZLUAoYwkiRJkiRJLWAII0mSJEmS1AKGMEuEEE6GEOJ1Xhev0+fxEMLvhxAmQwilEMJzIYQfCiFkb3Cfbw0hfCaEMBNCmA8hfDGE8L1r92SSJEmSJKndcu0uYB2aAf6vaxyfv/pACOGvA78LlIFPApPAtwG/BDwBfMc1+vwg8HHgMvBbQBV4L/DrIYSHYow/sjqPIUmSJEmS1hNDmDeajjF+5GaNQgh9wL8GEuDrY4xPN4//OPBp4L0hhPfFGD+xpM8+4KM0wprDMcaTzeM/BXwJ+EAI4XdjjE+t5gNJkiRJkqT2czrSyr0XGAU+cSWAAYgxloEPNb/8e1f1+X6gCPzzKwFMs88U8LPNL9+/VgVLkiRJkqT2cSTMGxVDCH8b2AMsAM8Bn4sxJle1e3fz/Q+ucY3PAYvA4yGEYoyxcgt9PnVVG0mSJEmStIkYwrzRNuDfXnXsRAjh+2KMn11y7J7m+8tXXyDGWA8hnAAeAA4AR26hz4UQwgKwK4TQFWNcvJ2HkCRJkiRJ64vTkV7v14BvpBHEdAMPAf83sA/4VAjh4SVt+5vvM9e51pXjAyvo03+tkyGEHwghPB1CeHp8fPx6zyBJkiRJktYhQ5glYow/GWP8dIxxLMa4GGP8Wozx/cA/AzqBj7S5vl+JMR6OMR4eHR1tZymSJEmSJGmZDGFuzS8339+15NgNR60sOT69gj7XGykjSZIkSZI2KEOYW3Nl7k/3kmMvNd/vvrpxCCEH7AfqwCu32Gd78/pnXQ9GkiRJkqTNxxDm1ry9+b40UPl08/2br9H+XUAX8IUlOyPdrM9fuaqNJEmSJEnaRAxhmkII94UQuq9xfB/wz5tf/taSU78DTADvCyEcXtK+A/iZ5pf/6qrL/RpQAX6wed0rfQaBDza//GUkSZIkSdKm4xbVr/lO4AMhhM8Bp4A54CDwV4EO4PeBj15pHGOcDSH8XRphzGdCCJ8AJoG/RmMr6t8BPrn0BjHGEyGEfwh8DHg6hPBJoAq8F9gF/GKM8ak1fUpJkiRJktQWhjCv+RMa4cmjwBM01meZBv4U+LfAv40xxqUdYoz/KYTwJPBjwHtohDXHgB8GPnZ1+2afj4cQTgI/AnwPjdFILwAfijH+xto8miRJkiRJajdDmKYY42eBz66g358B37LMPr8H/N5y7yVJkiRJkjYu14SRJEmSJElqAUMYSZIkSZKkFjCEkSRJkiRJagFDGEmSJEmSpBYwhJEkSZIkSWoBQxhJkiRJkqQWMISRJEmSJElqAUMYSZIkSZKkFjCEkSRJkiRJagFDGEmSJEmSpBYwhJEkSZIkSWoBQxhJkiRJkqQWMISRJEmSJElqAUMYSZIkSZKkFjCEkSRJkiRJagFDGEmSJEmSpBYwhJEkSZIkSWoBQxhJkiRJkqQWMISRJEmSJElqAUMYSZIkSZKkFjCEkSRJkiRJagFDGEmSJEmSpBYwhJEkSZIkSWoBQxhJkiRJkqQWMISRJEmSJElqAUMYSZIkSZKkFjCEkSRJkiRJagFDGEmSJEmSpBYwhJEkSZIkSWoBQxhJkiRJkqQWMISRJEmSJElqAUMYSZIkSZKkFjCEkSRJkiRJagFDGEmSJEmSpBYwhJEkSZIkSWoBQxhJkiRJkqQWMISRJEmSJElqAUMYSZIkSZKkFjCEkSRJkiRJagFDGEmSJEmSpBYwhJEkSZIkSWoBQxhJkiRJkqQWMISRJEmSJElqAUMYSZIkSZKkFjCEkSRJkiRJagFDGEmSJEmSpBYwhJEkSZIkSWoBQxhJkiRJkqQWMISRJEmSJElqAUMYSZIkSZKkFjCEkSRJkiRJagFDGEmSJEmSpBYwhJEkSZIkSWoBQxhJkiRJkqQWMISRJEmSJElqAUMYSZL0/7d378GSVPUBx78/WBCWx0JA3pREENiSCAjytBKgUCFExQoYMb7wgS9Q0CpLUCOoRC1fGDQaNLiEAkVKAcUoIrIBQcSNIKiACFmB5a2wPBaQxy9/nDPQDDP37t2d6Zm79/upOtUz3Wd6Tk/9qqfnN+ecliRJUgtMwkiSJEmSJLXAJIwkSZIkSVILTMJIkiRJkiS1wCSMJEmSJElSC0zCSJIkSZIktcAkjCRJkiRJUgtMwkiSJEmSJLXAJIwkSZIkSVILTMJIkiRJkiS1wCSMJEmSJElSC0zCSJIkSZIktcAkjCRJkiRJUgtMwkiSJEmSJLXAJIwkSZIkSVILTMJIkiRJkiS1wCSMJEmSJElSC0zCSJIkSZIktcAkjCRJkiRJUgtMwkiSJEmSJLXAJIwkSZIkSVILTMJIkiRJkiS1wCSMJEmSJElSC0zCSJIkSZIktcAkjCRJkiRJUgtMwkiSJEmSJLXAJIwkSZIkSVILTMKMQERsFhEnR8StEfFIRCyMiBMiYt1Rt02SJEmSJA3HrFE3YKaJiC2BS4ENgHOAa4FdgPcC+0XEnpn5pxE2UZIkSZIkDYE9Ydr375QEzHsy88DM/GBm7gN8AdgGOH6krZMkSZIkSUNhEqZFtRfMS4GFwJe7Nn8UeBB4fUSs0XLTJEmSJEnSkJmEadfedfnjzHyiuSEz7wcuAWYDu7XdMEmSJEmSNFwmYdq1TV3+vs/26+ty6xbaIkmSJEmSWuTEvO2aU5eL+2zvrF+nhba0btvZa/PwE4+PuhmSJEmSpGlg3VmrjroJA2cSZhqJiMOAw+rTByLiulG2ZxmsD9w96kZIEzBGNe6MUU0HxqnGnTGqcWeMVvuMugHL7keZuV+vDSZh2tXp6TKnz/bO+nt7bczMk4CTBt2otkTEgszcedTtkPoxRjXujFFNB8apxp0xqnFnjK7YnBOmXZ2eK/3mfHleXfabM0aSJEmSJE1TJmHadWFdvjQinvbZR8RawJ7AEuCythsmSZIkSZKGyyRMizLzBuDHwBbAu7s2HwesAZyamQ+23LS2TNuhVJoxjFGNO2NU04FxqnFnjGrcGaMrsMjMUbdhRomILYFLgQ2Ac4BrgF2BvSnDkPbIzD+NroWSJEmSJGkYTMKMQERsDnwM2A9YD7gNOAs4LjPvGWXbJEmSJEnScJiEkSRJkiRJaoFzwqiniDg6Is6MiBsjIiNi4QR1IyLeERFXRMRDEXFvRPwoInbrU3/LiDgtIu6IiEci4g8RcVxErNan/q4R8ZOIuD8i7qv73mFAh6ppalxiNCLm1ffvVQ4a4CFrmomIrSPiYxFxWUTcVc9hV0bEhyJijR71t4mIsyPinoh4MCIujoh9+ux7TkScGBGLIuLhiPhtRLwzIqJH3ZUi4qiIuLbWvTkiPterDZpZxihG+51DHxjGcWv6GFaMRsTGEXF8vRa4q8bbvEna8obGdcQdEfH1iHj2AA9X09C4xGhELJzgXLr+gA9by8meMOopIhL4M/ArYCfgvszcok/drwDvAOYD3wVmA4cBmwEvy8z5jbrbAj8HZgFfBv4P2B14A2XS4v2zEZRRfiTPBxYBX6qrD6fMqbNHZl49gMPVNDRGMToPeCPw+h5vfVFm3rTsR6npLCI+RZmE/XuUu949Spn/69XAVcBumflQrbslcDnwGHACsBh4G7AdJeZ+0tjvqsDPgB2BEylzi+0PvIoyrPXYrnZ8EXgPZdjrD4G5wBHAxcC+mfnE4I9e08EYxWhS4rF7IspHM/OMwR2xppshxuhelLuW3gz8hhKfp2Tmm/q04yjg88D/AKdTrh/eB/wR2GUFvqmGJjFGMboQeAg4vsfmMzPzkeU7Ug1UZloszyjAcxuPfwMs7FNvByApF/bRWL8OcDtlsuGVGuvPBp6gJFCa+zm67ud1XesvB+4DNm2s27Su+/GoPyfL6MoYxei8ciod/WdiGa8C7AzM6bH+EzWWDm+s+zbwOLBDY92alAv867pi91319Ud07fc7wF+A5zTWPb/G83e66h5R9/HaUX9OltGVcYjRuj6BeaP+PCzjV4YYo2sBz66P158oBuv2B+s16cqN9S+vrztm1J+TZXRlHGK01lkIzB/152FZuuJwJPWUmTcuZdW96/KUrGeA+vp7KXd/eh6wZ1f932fmpV37mVeXh3ZWRMRWwIso2dtFjX0vAs4E9o2IjZaynVrBjEOMNkWxdkR4XhUAmbkgMxf32NT5Z387gNpd+RWUi6crG69/APg6sDXlXNjxWmAJ8LWu/Z4ArAL8U2PdIUDUbU1fq/t43RQOSSuYMYnRJ0XEqhGx5jIcilZQw4rRzLw/M+9aymYcSOlBe2JmPt7Yx/eBG/E8OqONSYw+KSJmRcTaU32d2uWPBS2vZ9Xlkh7bOuua8248a5K6uzTGi3dORD/vUf8yyg+LnZa+qZqhhhmjTYtreSgizo+IXZelsZoRNqvLO+ryBZS463eug3o+rEm+FwJXZObDXXUvp/xT1vwx/CJKT5jLmxXra6/sqit1tBmjHQdRzrP3R8SddT6ZOct+CFrBLXOMLoPJrke3NXmoHtqM0Y5dKefRxVHmPzwlIjZZzn1qCEzCaHn9ti6fNqFU/ZH6d/Xp5l315/bowdLprbAmsG593DlpLOKZOus2nWqDNeMMM0ahDGn6AvBOynwH/0rpmnpxROy73K3XCiUiVgY+QhkPfnpdPZVz3brA6r3qZhnvfTdPPy9uAtydvceCLwLWr/N3SMBIYhRKcuZYSiLmjcBPKfO/XeyPW3UbQIxO1WT7jkYdaRQxCuX69XhKD9hDgG8B/wxcbiJm/MwadQM07f0Q+B3wroi4lacmPX0ftftdfd7xOeA04JyI+ABl/OKuwBcpE1mtUuv/ufG6Xj8eOv+uze6xTWoaZoySmR/ser+zI+J0Si+Dr1CGO0kdJ1Amej4mM6+r66Zyrpuobqd+M55nT1K3U+cvE7RZM0vbMUpmdvcc/K+IuIryg+K99J5oUjPX8sboVHk9qqlqO0bJzAO6Vn0rIi6iXNMeR5kAWGPCnjBaLpn5GGW27kuATwPXA7+m3BGh8+P0vkb90yl36diGcqeahcCpwFcpP1qb9TvDPzrDSZpW66oj9TTkGO33ntdTJl/bKiK2HsyRaLqLiI9Tgow/UwAAChhJREFU/t0/KTM/2dg0lXPdRHU79ZvnxSWT1G3uUzPciGK0n89QkoPdPyw0gw0oRqfK61EttRHFaE/1mnYhnkfHjkkYLbfMvCkz9waeQxnesV1mbs9TWd1ru+qfCGxIGff4YmDDzDwO2AK4LTM7P3BvrcteXfM663p16ZOeZogxOpGFdbn+ch+Apr2IOBb4MPANyu3Sm6ZyrruHcgvKZ9SNiGdR4q15XryVMuSo10XfppShSvaC0ShjtKfMfLS+r+dQAQON0amabN/ZqKMZbIQxOpGFeB4dOyZhNDD1h+5FmdmZg+PvKRNCntej7iN1NvFLMvPeiNgZeDbw341qv6zL3Xu83W6UL73/HdwRaEU3hBidSGcY0h0T1tIKr16UfRQ4BXhr8y5d1dWU7sn9znUACwAy8wngV8COPRIru1DmJljQWPdLynf9Ll1tWo1y+/ZmXc1QI47Rfm1ajTKxpedQDTRGl8Fk16PX1TvcaAYbcYxOZCs8j44dkzAaioh4BaXr26mZ+cdJ6q5GGTv5CPDZzvrM/APlZHRwc0Kp+vhg4KeZefsQmq8ZYBAxGhFr1G3d9XekxOg1mXnDQBuuaSUi/oVyUXYq8Ob6A/Vp6sX794G9ImL7xmvXBN5KGULXvLvRNynjxg/r2tWRlEkAz2isO4OSsD6yq+7b6j5Om/pRaUUy6hiNiPX6NO3jlLkLvz/FQ9IKZkgxOhXnUHp3HV4nXO3s++XAc/E8OuONOkYj4q/6rH83JZnteXTMxDOTdBJExOspQzcAjgBWpUxYCvDHzDy1Ufc/Kf9sXUn5knoxZTbuXwEvyczFjbrPB+YB5wK3UIZ8vBHYEji0ud9afw/gwlr3xEZ7NgT2zMxfD+aINd2MQ4xGxA6UiX/Ppnx5PghsD7yZ0sPmpZn5s0Eet6aPevHzJeAmyl0Sui/K7sjM82vdrSgXX49S7rZ1HyVR8jfAAZl5XmO/qwKXUmLt34BrKL26XgV8IjM/0tWOEynj08+i9OSaS5n36BJgn14Xi5oZxiFGI+ILlH+BL6ztWLPW3Rv4BbB3Zj400APXtDGsGK31P1wfzgaOBq6gTN4PcFFmXtSo+37KnzDzKUnGTYH3AzcDL7InzMw1DjEaEUcCbwF+RBl+NAvYCzgQuAHYPTPvGsgBazAy02J5RqF8yWSfMr+r7tspw4IWU37gXg0cA6zeY78bUn4I3EKZcO8uyslklwnasjtwAfAAcD9l6MgLR/0ZWUZbxiFGgY0o/3pcS/kifZTyJXwKsO2oPyPLaAslmdcvRnvF6VzKP673Uibn+xmwb599r0O56LuV0kPrd5RES/SouzLlx8J1te4i4PPAmqP+jCyjLeMQo8Ar6/f6Iso8XQ9SEubHAKuN+jOyjLYMOUYn2u+xPeq/iTKx/8PAncDJwAaj/owsoy3jEKPAnsD3KNegD9UYvQb4FLDOqD8jyzOLPWEkSZIkSZJa4JwwkiRJkiRJLTAJI0mSJEmS1AKTMJIkSZIkSS0wCSNJkiRJktQCkzCSJEmSJEktMAkjSZIkSZLUApMwkiRJkiRJLTAJI0mSJEmS1AKTMJIkSZIkSS0wCSNJkiRJktQCkzCSJEmSJEktMAkjSZIkSZLUApMwkiRJkiRJLTAJI0mSJEmS1AKTMJIkSZIkSS0wCSNJkiRJktQCkzCSJEmSJEktMAkjSZIkSZLUApMwkiRJkiRJLTAJI0mSJEmS1AKTMJIkSZIkSS0wCSNJkiRJktQCkzCSJEmSJEktMAkjSZIkSZLUApMwkiRJkiRJLTAJI0mSJEmS1AKTMJIkSZIkSS0wCSNJkiRJktQCkzCSJEmSJEktMAkjSZIkSZLUApMwkiRJkiRJLTAJI0mSJEmS1AKTMJIkSZIkSS0wCSNJkiRJktQCkzCSJEk9RHF+RGRE3BgRay7Fa75d698eEeu30U5JkjR9mISRJEnqITMTeDOwGPhr4HMT1Y+IQ4CD69O3Zubdw22hJEmabkzCSJIk9ZGZNwPvqU8Pi4j9e9WLiI2BL9WnJ2fmuW20T5IkTS9R/uSRJElSPxHxXeBVwK3Adpl5T9f2c4EDgIXACzLz/tYbKUmSxp49YSRJkib3duAuYBPgy80NEfEWSgImgUM7CZiI2C4iToqI6yNiSUQ8EBFXRcTx/eaLiYhVIuIV9XULIuK2iPhLRNwZEedFxCEREX1eu1edjybr8x0j4rSIuCUiHo2I+QP7NCRJ0jKxJ4wkSdJSiIgDgbPq01dn5pkR8RzgKmBt4ITMPKrW/QDwSZ76w2sJMAtYtT6/DTggM6/oeo+9gAsbq+4DAlirse5M4DWZ+cQErz0I+CawSt3HqsAvMnOvqR63JEkaHHvCSJIkLYXMPBs4pT79Sp0H5mRKAuYa4Gh4smfMpymJlw8BG2fmGsBsYGfgp8DGwPd63HFpCfAfwEuAOZk5JzPXBtYD3ktJqBwMHD5Jc+cB5wNz6z5WB962jIcuSZIGxJ4wkiRJSyki5gBXA5sDtwCbAY8Bu2fmgohYC7gJWAfYLzPP67GPWcBlwE7AUZl5whTe/yBKT5gbMnOrrm178VRPmMuBPTLz8akdoSRJGiZ7wkiSJC2lzFwMHEqZ/2WzuvpfM3NBffyPlATMFb0SMHUfj1GGCgG8bIpN+EFdbhkRG01Q7zMmYCRJGj+zRt0ASZKk6SQzL4iIc4ADKZP1fryxec+6nBsRt0+wm9Xr8jndG2pvmncA/wDMpSR1Vumxj82Afu9xyQTvLUmSRsQkjCRJ0tQtrssltWdLxyZ1uVotk5ndfBIRWwMX8FQvGyjzxNwLdCbi3bAu15hgv3cuxXtLkqSWORxJkiRpcFauyzMyM5aibNH1+m9QEjALKRPwrpeZa2TmBpm5EbBpo27PW1UDOBRJkqTxZE8YSZKkwekMD3rGMKPJRMTmwB716SGZeVmPahPNAyNJksacPWEkSZIGpzMXy071FtZTsXnj8RV96uw79SZJkqRxYRJGkiRpcM6kzN+yCvD5iOg7ZCgiVoqIdRqrFjceb9+j/lrAhwfVUEmS1D6TMJIkSQOSmfcCR9anrwF+EBG7RsRK8GTiZW5EvB/4LeUOSB3XADfVxydHxE6dDRGxOzAfWHfIhyBJkobIOWEkSZIGKDNPiYjVgS8C+9fySEQ8AKzN0283nY3XPRER7wbOAp4PLIiIJXXzbOBB4JXAT4Z/FJIkaRjsCSNJkjRgmflVYBvgs8CvgUeAdYAHgAXAicBLgG92ve5c4G+BH1CGNc0C7qbcNWmnzLygpUOQJElDEJk5eS1JkiRJkiQtF3vCSJIkSZIktcAkjCRJkiRJUgtMwkiSJEmSJLXAJIwkSZIkSVILTMJIkiRJkiS1wCSMJEmSJElSC0zCSJIkSZIktcAkjCRJkiRJUgtMwkiSJEmSJLXAJIwkSZIkSVILTMJIkiRJkiS14P8BqbmAMYmMR+oAAAAASUVORK5CYII=\n",
            "text/plain": [
              "<Figure size 1296x720 with 1 Axes>"
            ]
          },
          "metadata": {
            "tags": [],
            "needs_background": "light"
          }
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "JyfVGX5yzBIh",
        "colab_type": "code",
        "outputId": "c3491a11-c877-44f2-a927-440b8acfa7c5",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 235
        }
      },
      "source": [
        "ch_d_clean_2 = ch_d_clean.set_index(keys='Year')\n",
        "ch_d_clean_2 = ch_d_clean_2.drop(['All Other Diseases'], axis=1)\n",
        "\n",
        "\n",
        "ch_d_clean_2.head()"
      ],
      "execution_count": 16,
      "outputs": [
        {
          "output_type": "execute_result",
          "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>Entity</th>\n",
              "      <th>Code</th>\n",
              "      <th>Whooping Cough</th>\n",
              "      <th>Lower Respiratory Infections</th>\n",
              "      <th>Measles</th>\n",
              "      <th>Tuberculosis</th>\n",
              "      <th>Diarrheal Diseases</th>\n",
              "      <th>Meningitis</th>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>Year</th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>1990</th>\n",
              "      <td>United States</td>\n",
              "      <td>USA</td>\n",
              "      <td>8.588814</td>\n",
              "      <td>1635.913226</td>\n",
              "      <td>18.161524</td>\n",
              "      <td>17.117167</td>\n",
              "      <td>161.481894</td>\n",
              "      <td>811.466625</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1991</th>\n",
              "      <td>United States</td>\n",
              "      <td>USA</td>\n",
              "      <td>7.747370</td>\n",
              "      <td>1535.296153</td>\n",
              "      <td>6.246960</td>\n",
              "      <td>15.851765</td>\n",
              "      <td>167.086152</td>\n",
              "      <td>611.934378</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1992</th>\n",
              "      <td>United States</td>\n",
              "      <td>USA</td>\n",
              "      <td>8.105493</td>\n",
              "      <td>1423.639281</td>\n",
              "      <td>1.423512</td>\n",
              "      <td>14.562346</td>\n",
              "      <td>169.544542</td>\n",
              "      <td>558.960979</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1993</th>\n",
              "      <td>United States</td>\n",
              "      <td>USA</td>\n",
              "      <td>8.434532</td>\n",
              "      <td>1383.627507</td>\n",
              "      <td>0.202186</td>\n",
              "      <td>13.538472</td>\n",
              "      <td>181.139857</td>\n",
              "      <td>539.544713</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1994</th>\n",
              "      <td>United States</td>\n",
              "      <td>USA</td>\n",
              "      <td>8.247758</td>\n",
              "      <td>1290.416698</td>\n",
              "      <td>0.580205</td>\n",
              "      <td>11.841905</td>\n",
              "      <td>192.683480</td>\n",
              "      <td>528.571573</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "</div>"
            ],
            "text/plain": [
              "             Entity Code  ...  Diarrheal Diseases  Meningitis\n",
              "Year                      ...                                \n",
              "1990  United States  USA  ...          161.481894  811.466625\n",
              "1991  United States  USA  ...          167.086152  611.934378\n",
              "1992  United States  USA  ...          169.544542  558.960979\n",
              "1993  United States  USA  ...          181.139857  539.544713\n",
              "1994  United States  USA  ...          192.683480  528.571573\n",
              "\n",
              "[5 rows x 8 columns]"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 16
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "tgXL78q74WDA",
        "colab_type": "code",
        "outputId": "570bb654-59c8-47fd-c4ac-0f8804b3658e",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 297
        }
      },
      "source": [
        "ch_d_clean_2=ch_d_clean_2.loc[[1990,1995,2000,2005,2010,2015,2017]]\n",
        "\n",
        "ch_d_clean_2.head(10)"
      ],
      "execution_count": 17,
      "outputs": [
        {
          "output_type": "execute_result",
          "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>Entity</th>\n",
              "      <th>Code</th>\n",
              "      <th>Whooping Cough</th>\n",
              "      <th>Lower Respiratory Infections</th>\n",
              "      <th>Measles</th>\n",
              "      <th>Tuberculosis</th>\n",
              "      <th>Diarrheal Diseases</th>\n",
              "      <th>Meningitis</th>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>Year</th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>1990</th>\n",
              "      <td>United States</td>\n",
              "      <td>USA</td>\n",
              "      <td>8.588814</td>\n",
              "      <td>1635.913226</td>\n",
              "      <td>18.161524</td>\n",
              "      <td>17.117167</td>\n",
              "      <td>161.481894</td>\n",
              "      <td>811.466625</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1995</th>\n",
              "      <td>United States</td>\n",
              "      <td>USA</td>\n",
              "      <td>8.148322</td>\n",
              "      <td>1165.840270</td>\n",
              "      <td>0.183915</td>\n",
              "      <td>10.194441</td>\n",
              "      <td>198.200700</td>\n",
              "      <td>478.125705</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2000</th>\n",
              "      <td>United States</td>\n",
              "      <td>USA</td>\n",
              "      <td>13.083106</td>\n",
              "      <td>987.943643</td>\n",
              "      <td>0.046728</td>\n",
              "      <td>7.055266</td>\n",
              "      <td>348.344650</td>\n",
              "      <td>362.314711</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2005</th>\n",
              "      <td>United States</td>\n",
              "      <td>USA</td>\n",
              "      <td>20.535206</td>\n",
              "      <td>970.134906</td>\n",
              "      <td>0.032740</td>\n",
              "      <td>5.940921</td>\n",
              "      <td>494.284571</td>\n",
              "      <td>280.299353</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2010</th>\n",
              "      <td>United States</td>\n",
              "      <td>USA</td>\n",
              "      <td>18.811986</td>\n",
              "      <td>730.791280</td>\n",
              "      <td>0.028673</td>\n",
              "      <td>4.241182</td>\n",
              "      <td>422.069157</td>\n",
              "      <td>204.200072</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2015</th>\n",
              "      <td>United States</td>\n",
              "      <td>USA</td>\n",
              "      <td>15.246474</td>\n",
              "      <td>675.495437</td>\n",
              "      <td>0.075909</td>\n",
              "      <td>4.001932</td>\n",
              "      <td>376.526878</td>\n",
              "      <td>179.547238</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2017</th>\n",
              "      <td>United States</td>\n",
              "      <td>USA</td>\n",
              "      <td>15.002648</td>\n",
              "      <td>636.699016</td>\n",
              "      <td>0.062201</td>\n",
              "      <td>3.856037</td>\n",
              "      <td>353.158622</td>\n",
              "      <td>171.538460</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "</div>"
            ],
            "text/plain": [
              "             Entity Code  ...  Diarrheal Diseases  Meningitis\n",
              "Year                      ...                                \n",
              "1990  United States  USA  ...          161.481894  811.466625\n",
              "1995  United States  USA  ...          198.200700  478.125705\n",
              "2000  United States  USA  ...          348.344650  362.314711\n",
              "2005  United States  USA  ...          494.284571  280.299353\n",
              "2010  United States  USA  ...          422.069157  204.200072\n",
              "2015  United States  USA  ...          376.526878  179.547238\n",
              "2017  United States  USA  ...          353.158622  171.538460\n",
              "\n",
              "[7 rows x 8 columns]"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 17
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "Usmrgv_oQeKh",
        "colab_type": "code",
        "colab": {}
      },
      "source": [
        "ch_d_clean_2 = ch_d_clean_2[['Entity','Code','Lower Respiratory Infections','Diarrheal Diseases',\n",
        "                             'Meningitis','Tuberculosis','Whooping Cough','Measles']]"
      ],
      "execution_count": 0,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "Z3tWP0cP44bG",
        "colab_type": "code",
        "outputId": "dfe376a7-4899-4ff0-ff4d-9e25ac1c437a",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 700
        }
      },
      "source": [
        "import seaborn as sns\n",
        "\n",
        "ch_d_clean_2.plot(kind='bar',stacked=True, figsize=(20,10),color=(\"#262161\",\n",
        "                                                                  \"#92268f\",\"#2f75bc\",\"#de7773\",\"green\",\"crimson\"))\n",
        "\n",
        "\n",
        "plt.title(\"Leading Causes of Vaccine-Treatable Deaths in Children\",fontsize=35)\n",
        "\n",
        "plt.legend(fontsize=23)\n",
        "\n",
        "plt.ylabel('Number of Deaths', fontsize=28,labelpad=20)\n",
        "plt.xlabel('Year', fontsize=28,labelpad=20)\n",
        "\n",
        "plt.xticks(fontsize=15)\n",
        "plt.yticks(fontsize=15)\n",
        "\n",
        "plt.gca().spines['top'].set_visible(False)\n",
        "plt.gca().spines['right'].set_visible(False)\n",
        "\n",
        "plt.show()"
      ],
      "execution_count": 19,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "image/png": 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yxRmp5bY7nQ08bodU1zwxKfOR2Ov3XNdyUz3k9SPYSsSTwKMEtNQBuuLfYnBzsP2Vh3QWRHk0zb0M5+/PwE24yqbY6/Id+Lf2/XeYeN3bLyNMuHRXuLQw4eJ1z+OO05dv3yHg/IqtGKzk+t99vTkFjCKgVSO25f0Q/FuWjQ2Tlowg+2IGAa3Ksde7DwLS3iMe+aO4fhKeAP3oJz8fYlQ5hi0Mb3TFlU6Y7ijYG5AVrvBPhAhXioDCQ5g4/+iKbyehC03t8C8MhWxqjS187g44ic4NE959ck4JESY1IL5jQMcwcd7kCpsFNAwRbmBAvH8OE2cj/AtWeS4AB8TrvqDOjFOejUeeSIn2OCBC5Ri2svK4a7818Rhvrso+Z/q/XctbDlSNEM+/XOH/G+T3P7h+34Lrpi9MnBLuuI5i//3sWvYKoHKY8K8F5NOLwoSNePzlI91VXfvTAMMjhK+F/8OCx4KE8doFvAQw3RXXC2HCBlbiDfO4jFxdC4DeAXH9Ew83LSHiauCOK8y86QHLXA9UCxPeXcjOCBNugCvcQaBdhHVwh9/vdV9FmafmhjuHuMKlBGwTA/TzEP/TrvA7gPoRwj8VsN2D7uso8m1159zii7N3mLBprnDpUWzDeBxD7rQYbEXpFWHC9w0IH7RrGN5veGN6rs9j3szIy/4IiCOwW9tDQcJUcY4vX5hnIsRZF/+KlKDHAba1tqdrFfCAK74fIoR1r08Dj/GnBsyX7zIfCbp+O/HMdS071UNe961HuAr3zviXy1NikM6CKI8Gnit+C5cvsN1pfWF/x/XwOsz2ywgTX7orXFqIMPG85wm8Lv3TwzZzr9tJ4MoI4S/BtnIzzt9zQ4TLCEjLu6HyO7Z8vtwVNj0e+aO4fnRAfqWsG7BNwsE+ebjTGJMVKrCxXV8Guyb9JdjAiMaYU8aYE14SYIz5CFjg/HsWOV2gAt2JLSSAbWY7NEyc28jd9SvWnjPGLArz+wfYp8hg031xiHB3ur5/YYyZEiIcxnZFeCqqVEYgdpD/aq5J20OFzY845Yl4qIl98gXwqzFmg5eZTJCun2IHyu7n/JsJ3GyM2R8hqnuxT6kBLhORJgG/u7uc/GA8NFU3Vsjj2qMbsDc4PgONMQfDhP8btpuIz1/zufw8cbb3p65J/SMM5tqPnK5nvnHTAuP83eOys/A/T10bLJyIJGG3l8/nxpiRHpcRrDuiu2vdCuAe45Qs8xBXXg02xgR2j3V7yfX9XAk9qLx7+w01YbqnAxhjJpPTlaoKOcdfYfCZMWZquAAiUhb/Y2WgMSbSOXkEtoUr2G5slwcLFEW+3YttEeATNN/mR6yPoRDSjTFfhIn7HeAT16Q7Q4WNJE7n+kTZE/B/tSBhBpPTDftbY0zYcokx5hfgIdeke0KEOxbFtWocOeWVTiJSN1zgGIhFmS9R1++8mmzCdJU0dmiVBa5JXfOzsIIqjwbxN2NMRpjf3yCnK245bMVVvBXUPc9ubEVzJA+7vo8xxswMF9gYMxvb8g1sQwwv59eD2LJD0PxujMkEXnFNyld+U/60ckwpq7/r+9+9VF4YYxZim0+DrbiIxdvBFrq+dw4R5o+u7/8yxgQbM8JtKrnHLoqlsGOfODej37gmNQ8M44wx5K74meBhuVOwzZVjpSr+58RwFR4FyUueiIfjru+18lng7kvOGAmzjDFrIs3g3DS634x4SZj0tXIKkwXBffx9a4z5MVxgY8xx/PPzNU4lUCKku743xD69D8X9lsovTT7HFjHGbCbnZvN8EQk2rlcXJ10+w4OE8cS5SXev37PGmFN5jS+P1htj5oUL4GyXX1yTgp0fOwAtnX/3Y1vmeOF+S2ng8ZNI//QQpjc5Y0+uDle54+Nca9xvZIvFOifq/JuLx2MomPFRhmkuIrnyoUfxONcnSmClXrDKMXfZ8WWP8U4np+zSWfL5plAn37vHvY13Ps13mY/EXb/zyssYf+7KsbwePz6JKI8eBqaFC+A8OHKPvZjf9fSioO553o70sMJ5U6dv/NLT+FdQhRPttfidCA9dwT+/NRaR0h7ToiLQAflVsee0nnDXun8ZxewryRmMsz12bJlQyymDfZLdHtstsBJ2zA93643zXN9ztSBwBid2D1gc9okF2JZKIvIVtql7rG01xuzyEO4n1/dgr20PbBE1O1KExpgjziDjPTws34vAV0B7at2VH7HIE/FijNkvIlucdAnwqYjcYfI2WLO7kiLa48unfcBvi13fWwL/FpFHnSfz8XSh6/tnHuf5DzDa+V4Bm94VsUyUR7Ow4935BvgegB2U2Y+ItMF/4NvJkSIWkfrYMT/aYM9RlchdxqjgC459oHAg4Hd3PtlpjPk+0nLDcMeViX+ruYLyrcdwP5HTGjHY+dG9LvOjqOQLd/wk0oLIQeJyzshFRNpjx3dqga38qID/Tan7ZSRxPf/G6BgKtNsEf5FAoLnYFiG+9e1ETiu8aBTIfisggRU2fq1ORaQaOZXWYMdKjMgYc1JENmDPsUnYAbZDnitEpBJ2IP222AHgK5G7vNLa9T2e+TRWZb5EXb/z4iQQrqWcT6R1jkaBl0eBRV5a8BHb9QyrgO95vFyXupFTPl9ljNntMW73+a2diEiEVuxeyg7u/SDYF/L85jE9KgytHFPKNu92n+BfEhEvFwjwL5DUDBbAqQB5HNt1oHKwMCEEC3tewP+rPMa1ivhUjnkpJIF/C69yQX6v7/r+i4cnJj5riV3lWOBNRtC338VCjPNEPL1MTouCjsAyEVmJfWvQ18A3xpjArifBuI+TVBEJfHNgKO5Cvt/xZYzZLiIfkvOWnj8D/URkAfYmZQGw0MNTRs9EpCT+b+YM+1Yvl3XYChrfNfc8ElA5Zow5LSJvkdN18SYRGRJkGw1wfT8IfBQqTqcL1Djs09Rw3TQDBcvL7qfQi4P8Hg13XGtimQ+iEKvzo/v4aS8iEW8QHO6KnaDXpwQ4EKGbqY97na8SkWYhQ/pzt+4Juc4i0gsYi3/lRiRxOf/G+BgK5KmM4Jwb1pHTTer8KNLhFvNzfQIFtswLzLctydlfWdi3M3qN230dCVV2rIzt1ns7/sdyJPEsJ8TknJaI63c+7HW6sUUS6TwejQIrj7rE6noVSwV5z7M5chD/SugorsVupbH7M9x9TsR9YYw5GnC+ife+KDa0ckypnK4bPj3zGE+uAomIVMA+6chLf/DAJ0fgX4l3MoqxcYK+fjwGvFYiugUrPboLoZGehLvFrKm5c6E5jm25BcG7UORbHPJEPL2OvUm61zWttfN5CDAishz75rd/GWN+DRGP+xi7wPlEK1iBfxD2xqK7838StrLUV2F6QkS+xna1etvrWG9hBN4seTqujDGZInKAnFfSx/VpawTp5FSOVcR2WcjuiuZ0+bzFFf69UDcoItINm5fz0i0oWF52H3Oh8pJXsYwrr2J1fnQfP+c4n2j5HT8icjn+Yx8Fs9sYMyBCmGgd9hjOvc5NnE+0glYSiMgD+I/15lXMu63E4RgKFM213x3Wa5fNQPE61ydCYKVVYOWYe11LYFt35UWwsmMdbGu+vAzXEc9yQqzOaVDw1++8iuU6e1JQ5dEABb6eHhTkPY+Xa5P7mK9B/o75cPcvhXFfFBuFvY+3UgUhX+M9uAQ7nl7AvxLkC+zrkNthCwVljTHi+xB5jB13oSeak2eiChXxFuvBWbe6vrcOGSp/Yp0n4sYZAPc+bHo/IGcgVh/BdvV4FtgiIvcSXCyOsVzHlzPQc0/sANBfkzs/JGO7KU0CNohIXiu+3fG5RXMMusMWdCVnNmPMavy7iARWfvQip9sl+I9Tlk1EKmLzhG/fHsG2MrwGW5FRCSgVkJe3BYvLxb1d8nvOimVciRaL4yew4Hw2dl+H+8SqVa6b13N2XM4ZInIhtsWYz3bgSewbyOpjuy0mufJsw8A4YiVOx1CgvJYT8nqOist+S5AOAf8HtiyJZ9lxEjkVY1nYfHIrtlxSDSgTkC8idn0vbBJw/S5qCqI8WtgV5D2Pl2tTPI95VUhoyzGlctfe1/U4pkJYIlId/zdaPmKMeSHCbBUj/H7I9b28h37rXuNNNPc+iOapcaxb4HxNTnesliJS3uvbxLyIU57IK8+DwhtjvgW+FZFk7JhbPbBPe/9ATuGlPPCKkycDByk9SM4Tt5udt6PFhPM2n7eBt50Bqrs7nxTs2DW+SoH6wOci0t15s1ReBJ4rotk37rDRtI6Mh3RsN1mwb4c7yxjzs/O/u7Jsg7Pvg7kdqO18PwB0Mcasj7DcSNvLvV3y2nIlHnElmjvf/cMYc1fCUlJw3Ov8mDHmuRjF+yg554QfgMuMMeFaDMTz2hmPYyg/4d1hD4UMFV7czvUJ4H6IZbDlAzd3Hj1hjClDDIjIBcBVrkk3G2PeizBbYS/jBVXA1++iJq7l0SKisN3zuI/5WcYYr93GVRGiNZdK2df3utUKGip6l5BTAZEBvOhhnnoRfnenVYAGHtPSyGO4RHG/prquMwCtF17HofFqrut7ErEfpy0eeQL8n6iVChnKX9QVBsaYE8aY+caYEcaYy7HNyu/C/5X3zwR5+5Y738bq+AqWvgPGmE+NMX8zxnTEFqifw75VCGxF3rP5iP8I/q3nPB1XzttY3YW1RA+aOo2cJ6slsC0SfGPc/K8rXLjWCFe4vr8S6abeyROR8pz7oURexzwKFlfguCVFTcyPH2NMurvlSYhPg1gsK49ivs7Oy3cud016JELFGHg7/+ZVPI6hQNG0fHOfz/LaFblAzvXx5pRB+rgmrQwyVp57XZOjKLdE4s4X8zxUjEF882mBiPf1uwia6/oej/JoUVDY7nnOiPObCk8rx1SxZ4z5DdjimnRRjKJ2DzK/KNLTDqfgHmnZK7EDe/t4fWV3Ql9B78GPru+Ch3HfnBuFwLdc5tfH+FdcDJEoRtj1IB55AvzHSqjqMc35bqZvjDlijPkH/oW2SkCXgKALXd9jdXxFZIz5yRjzGDDSNbmH0wIur5a6vgeuZygXBvy/JB/LzzfnJu//uSb5Wov9iZwxTrKAKWGiceflH0OGytGFyGUOdz5pm8+bTXdctUUkL2P3FBbudfGa54q6eJwzquHfLcZLvr3YY9zuLjlerxnxOIYCNXe6b4YlInXxr2DJ6zkqIef6OHgA/wcabwQJsxz/hyXxKDtGzBciUg7vY7u5yxyFeoyiOF2/i5J4l0eLgsJ2z+M+v7V2xhBWZxitHFPKcr9x5LYYxem1BY/PpUQYaNkZGNs9XtCfIkUqIo0p5JVjzkDu7rfTeek21J/Y9f/3peMY8JprUgf8B6P3TERKiEjg06uY5wmHu+VdWSK0lBGR0vh328gXY8xc/Jub1w4I4j6+rnG6lxakj13fS5L7JRzRmO/6/kfnzaOR3Or6vsYYE68XZETD3SqshYh0xL9L5WxjzE+EFm1e9nJenU1OQbg0kBrlMtx+BPa7/r8zH3El2pfktJ6oG8UbAIsy9znjQhFpEYM4o8qzzssp+nsM7u7u5PXNgvE4hoIt448ewt3s+n4C2+U0LxJ9rs83Z2yrJ12TdgL/DgxnjDkJzHFNSlTZ8Ra8jxGXl3yaaLG8fhcZBVAeLfQK4T3PQnKGbCiJf9lOnSG0ckwp6xVynvxeKCKDwwX26BfX9y4iEnKMP6eyYmyo3wO4b2qvE5FIF4FRHuNNtH+4vl8pIv1CBRSRBsCIOKXjJcDdveV5EfFyc5FNRKoBn+PfRQ3ilCeMMQfxb/0YqQBxPxGahEfzhNJ5kut+k1tg95OPsN1IwVZojvcad5hlRvMENbAF0v6gobz5NzlP36sDj4QLLCKd8G9ZNzEfy46lmfh3PRyOfyuZ9Ajzu/Nyt3ABRaQr/jffQTljPX7gmpQmInnqLmSMOYX/OWWIiLTLS1yJZoz5BXCP3fRyDLtwFUrGmB+Bb5x/BXhDRKKtNAi0Fzjl+j9svgWGAud6jDsv3XhjfgyF8FS4SnynO/XDrkkfGWPyOuZYzM/1BUlEBmGv3b7hD04Dd4R5U+LLru83iUgsHjpFky+qAs9EEXeh6G6ewOt3URPP8mhRUWjueZxyxeuuScNFJC9vj1aFmFaOKQUYYzbg32z+dRF5wHlyHBnXD48AACAASURBVJKIVBOR+0Tk3SA/z3N9rwc8FSKOisCHQBuPyf0/YIdvduBDEQlayBGRJ/DwpKWQ+Dewwv2/iAwVkeynm2L1wo7FUAP/sa5iwhlX6iZyukskA++LyGjnJiIkESkjIg9iCzNXBAkSrzwBMN31fWiolhYicjP+3RRC6S4in4lITw8F2ZHkPIU+iX/Tc4wxmfjffN0sIlMidfcRkdIicoOILAxyc/ewiLwhIs2DzpwTR3n8bx5+cJ5G5olzrnjfNempUBW5Tle+j8i51v6MffNWwjn7ZKprUm/X90P456dg5rq+D3EGkc7FKch+jPfyRhpw1PleFZgrIi3DzSAiV4lIsJvIl8i5GSwFzAoRzh3XxSJytce0FqSnyRmcuBkw23lCHpJzvrxYRN4XkcvDhS2khpLTkrA78B8RCWyV6kdEkkTkChGZFdiV1rmx+cY16UWxg4AHi+cOorvJcndDbCve3qw31/U9lsdQoMbANPe11BV3Jeyx7tuup7FvVM6TOJ3r40pEzhORu0RkJfBP/Fth3WuMmRliVowxXwKfOf+WwJYVQj7Ycy2zrog8JSLBKg/nur53EZHbQ8RRG/uQo26k5bm48+ndkrguigm5fhc1cS6PFhWF7Z7nJVd6agFzRCTwzba5iEhrEZkoIrFqYariRN9Wqc4k54rI8SjnucIY4+sm9SDQFvuGopLYE+A9TsXXImxFTGlsa5GW2PElejphvw+M2BiTISIfA9c5k550CrlvYV/HXhE7hsgd2MLNYWwhq2+4BBtjfheRu7FjBgm2kmWZiPwT28T/ELYwPAB7Q2GwN/N9gsdYOBhjMp1C5XzsTXEpbCH9aRFZhe3qcR5wljPLd9huWE84/0fzmudIaVkpIldgb0iqY58iP4otTM7Ebuefsc2rqzlp6gn0IvdTTne8cckTjteBe7CVVJWA70TkVewbj05iByjt46TxNPYNUbeEiU+wFSa9gZ0i8jn2ONiOzWPlsW9SugX/JuyvGWNyvY3RGPO+iLyIveEF213pGhGZBizAPi3Pwg443QQ7nly47VkW2/32LhFZDnyFHQ9sN7ZypRq2G8Jt+I/h4qViMJJ7sG/qrIu9IXrLqXR8F7t9KmNfQX8HOZWGWcBAp5VfYZEOPBRk+nsebkD+iW01VxaogH2b6QTsMXkIOBu4Gpt3k4BZQAsidx1f75zf0rF5sDGwXEQ+wN4Ibsduy7rYPHIddtDx27D5yB3Xb845ZSb2fFIT+FpEZgCfYltbnsAWcNtjn6y3xLai+0+E9S9QxpjNItIfW5GRhM3b65zzyX+xrXWOYvPeOdj1uZKc7f2vgk5zfhljvhOR+8npWnQFsFVE3sNWIPyE3X9VsOe3Dth1rumED1apPw77Jjyw4y6uEJHXsN36s7AvgrgF+0ZegDeBQR7SulZElmHLEIKtvFyBvYlyj5kz2BlGAOJ0DAX4EmiHPU5WOPEvx563OgB3B8Q31hizNFcsUYjDuT6/Lneu227lscfKWQTvpvcLcJsxZpaH+PtjHwg1ceJ9S0SGYh9wLcO2dCqLfaB3AbY12EXYfRDswep87LXM19L1X0555EMnXdWwZbs7nHXYid2nvXNHlcvb5JQFrwR+cfKtu6XgbGPMqx7iyo9EXr+LlHiVR4uKwnbPY4zZJyI3YK9B5Zxl/+jsi8+BjcARbHn+LOxxfBnge1izKDBOVcgYY/SjnyL7wd5AmXx8UgLiK4ftvhJtPAtDpK8O9qYl0vzHsIXXNNe09Ajr/hePaXsaO3aP7/+5YeJ0pzUlRBhPcQXME816dQA2RVinr7A3QM+5pr0Yh/x1Hra1V7T5IcvJR+cUcJ4Y5Cw7XLynnbwTdj9ibyCjXe+PgOQIaXzYSUO0cZcJk6e8fh6JYd443+N+NNjKyb4e4nTHF/T4i0MeXxQkvV09znuLx325Eluo97x+QD9sxYfXfZsaJq5LsTcOXuNKCxJHA3eYMMtKDxdPiHnmelkPJ+zl2G7L0eb9K+OQd9zpznUOcYVLcYXLyMNy+mHPh9Guc7MQ8U3wOP9UbMVrxP3uxNsRWxESLs4G8T6GCLhmYCtBjnpYxttAiVjtR2J0rs9j3szIw3INtsL8CaBalMurgb1Rj3Z574SIrznejvN92Adq6a5pYc872JY44eJMDwif6vot5HEeLg9G+N3rJybXbzycb6PN63ndTlGmOx7l0bD7KUQ6IuY1r9svynwbj3se93wNotwf7bAPtaPdH3eFiC/DFSbFYxrynH79hP5ot0qlXIwxR40xfbGDlX+N/xuocgXHNlEfRohXLBs7hs6F2Cc+JkQ8C4DOxpiPQ/weKq1/xz6NWBciyHbgFmPM8GjiTTRjzGLsE/37sNtmD/YmeRu2FVUfbIu/3/AfNyseXSw3GWN6YG8uZpDT3SuUX7FjrLQ1xvQ1xuwIDBDnPPEmdvvsDBFkDXbb/d1DdCuxBacfyRkMPJS1wO3A9Sb02Cy+NL6A3b/TgEgtPbdit2cnY0xg2Ped3zZFiMNgb1r+YIx5PkJYz4wxG7GtAMbg/7ZQtyxsnm1rjHknRJhESw/4f6Mx5ptgAQMZY97GtmzZHCLIEew+6myifAmBMWYqtpXMNOzxH8oBbKuoOWHi+grbFfENJ02h/I5tyfFhNGktSMaY/2JbqDyPHUMrnH3Ym6JrsK3LiiQnLzTFVmqFOtZ8fF2Xe+I/Vo/b3dhWTblauDp2AvcYY/oR+hwdLJ2LgFbY7pgLsds/M8I8cTuGXMuYiR1PMNSbD/cCfwX6GWPClXmiXW6szvWxlomtxMzAtux6G9tzoBvQ2Bgzytg3+npmjNmDrYS/Gf83Goda/jfYN2L+NUR8a7HlhHnBfsdek33XloUhwoRKa3/geuz4jluw5z3P+TxGEnr9LoriUR4tSgrbPY+xLWxbAo8RusztcwTbWv1mIo/nqhJMjCno86FSRYfYgSy7Ybs3VMUO5nsA22x2RTQFKBE5F9tV4yzszd4v2BZnGTFIZyfsU4zq2Fc/rwe+iWVBtzByulv6xiO60njrApGf5SVjC6znYJ8UV8C+pfFXYIkxJlJBLzC+uOQJsQP9d8XeqFXCdlVYaewg13mJrwK2u1BjbIVkMrZg9jN2vTfkMd4y2Ju2Rti8WwK7PTOAVcaY7aHn9ounNnZ8tobYbgVJ2Kb2GcCPToVk3Ih9ecIfsE92q2MLQjuxTywLw5sp40rs2IwXYs9BlbGVAtux6x+pAO8l/nLY7hLnYrfvKewxtwab/yJV3rrjKo09Ns7DHsNZ2Ir1dcCiSJW7hYmIlMAel62wLWnLkJP31gJrz7RrgHNu64ytLKuB7S57GJvf1jiV1l7jKo9t4dAEe07bjb22f1vQ2y3ex5BrOS2xXW7PwlaKbADmGDseW9zE6lxfVIhIXez61sF2Hz2BrYTcgC07RqrkdcfVDHvOqoXdZz8DC+J9XSsoib5+F1WxLo8WJYXxnkfsOL/tsfuiPPZY3Y0tW6yK9zlWxY5WjimliiQRuZCcgd8zgdrRPu1VSimllFJKKaW0W6VSqtAQ8fZ6b+ctPRNdkz7VijGllFJKKaWUUnmhlWNKqcKksfMq99tEpGbgjyJSSkSuw46d0sqZnAk8W5CJVEoppZRSSil15iiZ6AQopVSAC50PIrId2IEdzLcydoDucgHhH3UG8VdKKaWUUkoppaKmlWNKqcIkcDDN+s4nmAPAQ8aYSfFNklJKKaWUUkqpM5kOyK+UKlScNzNdi31LaFPs257KYVuP7QVWAF8C6caYg4lKp1JKKaWUUkqpM4NWjhUyV155pZk5c2aik6GUUkoppZRSSil1Jgn5AjgdkL+Q2bNnT6KToJRSSimllFJKKVVsaOWYUkoppZRSSimllCq2tHJMKaWUUkoppZRSShVbWjmmlFJKKaWUUkoppYotrRxTSimllFJKKaWUUsWWVo4ppZRSSimllFJKqWJLK8eUUkoppZRSSimlVLGllWNKKaWUUkoppZRSqtjSyjGllFJKKaWUUkopVWxp5ZhSSimllFJKKaWUKra0ckwppZRSSimllFJKFVslE50ApZRSSiml1JkpKyuL/fv3c+TIEY4fP05WVlaik6SUUqoIK1GiBGXKlKFChQpUrVqVEiVi0+ZLK8eUUkoppZRSMZeZmcmOHTsoWbIk1apVo1y5cpQoUQIRSXTSlFJKFUHGGLKysjh69CgHDhzg0KFDnHPOOZQsmf+qLe1WqZRSSimllIq5ffv2kZycTL169ahYsSJJSUlaMaaUUirPRISkpCQqVqxIvXr1SE5OZt++fTGJWyvHlFJKKaWUUjF38OBBqlevrhViSimlYk5EqF69OgcPHoxJfFo5ppRSSimllIq5zMxMSpcunehkKKWUOkOVLl2azMzMmMSllWNKKaWUUkqpuNBWY0oppeIlltcYrRxTSimllFJKKaWUUsWWVo4ppZRSSimllFJKqWJLK8eUUkoppZRSSimlVLGllWNKKaWUUkoppVQhIiKICBkZGYlOigpjx44d3HrrrdStW5ekpCREhLS0tEQnKyjNU+Fp5ZhSSimllFJKJVhKSkqhvrEubNLS0rJv9n2fEiVKUKlSJdq0acODDz7I9u3bE53MImfcuHGkpaWdURUoGRkZcakYOnnyJD179mTq1KkcO3aMjh070rVrV+rXrx+zZXiVlpZGWloaBw4cKPBlnylKJjoBSimllFJKqeKpaaPbE52EPFm/ZVKik6AclSpVonXr1gBkZWXx008/sWrVKlauXMnEiROZOXMmF198cYJTGb2mTZsCUKpUqQJd7rhx49i2bRspKSk0aNCgQJdd1MyaNYvNmzdTr149Vq1aReXKlROWluHDhwOQmppKlSpVgoZJVJ4qKrRyTCmllFJKKaVUkdSuXTvmzp3rN23JkiX06dOHzZs38+c//5n169eTlJSUmATm0bp16xKdBBXB2rVrAbj44osTWjHmleap8LRbpVJKKaWUUkqpM0b79u157bXXANi8eTNLlixJcIrUmejYsWMAlC1bNsEpUbGglWMqKptr/kE/+fgopZRSSikVS59++ilXXXUVNWvWpHTp0tSrV49bbrklaIXQhAkTEBH69u2b67eXX345e1ymwJZYYLtkiQjff/99rt++/fZb+vbtS7169UhOTqZGjRr07t2bmTNnBk2zb7yw1NRUjh07RlpaGi1atKBcuXIx68rXpUuX7O9btmwJGibadJ8+fZoJEybQrVs3qlSpQqlSpahVqxZt2rThnnvuYcWKFX7hU1NTs8eR27t3L/fccw/169cnOTmZhg0bMnToUA4dOhR0WaHGyHLHuX//fh588EEaN25McnIyKSkp2eGWLl3Kk08+yUUXXcTZZ59N6dKlqVmzJr169eKjjz7Ktbz09HREhG3btgHQs2dPv/HcAsfCO3z4MCNGjKBt27ZUqFCB8uXL07p1a5566ikOHjwYdJ184+qlp6ezY8cOBg0aRP369SlVqhSpqal89NFHiAgNGzbEGBM0DoB+/fohIjz88MMhw3jlzounTp1i9OjRNG/enDJlylCrVi369+/Pjh07gs7j2yaTJ0/221aBPvvsM6699lrq1KlD6dKlqVOnDjfeeGPQY8lt4cKF3HrrrZx77rmUKVOGGjVq0KFDB4YNG5Y9np4vLT4NGzb0S0t6enr2b+HGXcvKymLy5MmkpKRQrVq17Dw6aNAgNm3aFLNt57Nz507uvfdemjZtStmyZSlbtiz169enZ8+ePPvss9kVjwVJK8eUUkoppZRSqggaMmQI1157LTNnzqRUqVK0bduW33//nWnTptG5c2f+9a9/+YXv2bMnQNDKrzlz5gT9DvDzzz+zYcMGKlasSIcOHfx+e/rpp+natSvvvvsuR48epWXLlpQoUYLPP/+cq666KnsspGCOHz9Ojx49GD58OKdPn6ZFixaUL18+2s0Q1NGjR7O/lytXLtfveUn3rbfeyt13380333xDxYoVadeuHZUrV2bjxo38/e9/59NPPw2aln379tG5c2cmTJhAlSpVOP/889m2bRtjxozh4osvZu/evVGv3549e+jQoQOvvPIKZcuWpWXLliQnJ2f/PmjQIEaOHMm6deuoXLkybdq0ISkpiS+++ILrr7+eoUOH+sVXu3Ztunbtmh1Hq1at6Nq1a/bHPcj8Tz/9RKdOnXjqqadYsWIFDRs25LzzzmPNmjWMGDGCdu3ahayQBNi4cSNt27Zl8uTJVK9enebNm5OUlMQ111xDnTp1yMjIYPbs2UHnPXDgANOnTwdg4MCBUW+3UE6dOsWVV17JE088AUDjxo3Zt28fb731Fl27dmXfvn3ZYevXr0/Xrl0555xzAKhVq5bftvLJysri9ttv5+qrr+bTTz8lKyuLVq1aceLECT788EO6du3KpEnBxy/0VWxOnTqVffv20bJlS6pXr87q1asZNWpU9jbwpcXH91IA36d27dqe1v36668nNTWVefPmUblyZVq3bs1vv/3GxIkTueCCC5gxY0ZMth3A9u3bad++PePHj2fr1q00aNCAli1bkpmZyfz583niiSfydEzkl1aOKaWUUkoppVQRM2nSJF5//XVKlSrFlClT2LlzJz/88AO7d+/m4Ycf5vTp09x1110sXrw4e56mTZtSt25ddu/ezZo1a7Knnz59mvnz51O3bl1KlCiRq3LM93+3bt0oWTJn2OrJkyfzzDPPULNmTT788EP27dvHkiVL+PXXX/nggw+oWLEiaWlp/Pe//w26Dh988AF79+5l+fLlrF+/nkWLFrFo0aKYbB9fRVWJEiW44IIL/H7LS7qXLl3KO++8Q6VKlZg3bx47duzghx9+YOPGjRw+fJjPPvvMr7Wa24QJE0hOTmbdunWsWLGCVatWsWLFCho0aMDq1au59957o16/CRMmUKNGDTZt2sSqVatYsmQJH3/8cfbvDz74IKtXr2b//v2sWbOGRYsWsWvXLr766itq1arFmDFj+Pbbb7PDX3XVVSxYsIA6deoAMH78eBYsWJD9uf32nJdn9OvXj/Xr19OqVSvWr1/PypUrWb58OZs2baJdu3Zs3bqVPn36kJWVFTTtzz//PF26dGHnzp0sXbqUFStW8Nprr1GyZElSU1MBQlYaTZ06lePHj9OtW7fsAeZj4f3332fnzp2sWrWKtWvXsnr1alasWMFZZ53Fjh07GDt2bHbY22+/3W+b+Lad7+MzYsQI/v3vf9O4cWPmzp3Lr7/+ypIlS9i3bx9vvPEGAHfffbffsQjw5ptvMnLkSJKSkhg7dix79+5l8eLFrF+/nsOHD/Pee+/RsmVLv7S418Odlquuuiriuo8YMYJPPvmESpUqMXPmTLZu3ZqdX/r378/Ro0e5+eabQ7YCi2bbAYwdO5Zff/2Vyy67jJ9//pm1a9eyaNEifv75Z3bt2sX48eNjVkkeDa0cU0oppZRSSqkixBjDqFGjALj//vvp379/dteq0qVL8/zzz9OjRw8yMzMZPXq037y+rnfuCrClS5dy8OBBevfuTdu2bfn+++/9ujX5wvpanoFtLTJs2DDAVlhcf/31fsu54YYbGDlyJAAvvvhi0PU4ffo07777Lm3atMmelp/xm7KystixYwevvvpqdsuo/v37+7V6ymu6169fD8All1xC9+7d/eYpWbIkvXv35rLLLguarlOnTjFlyhTOP//87GmtWrVi4sSJALzzzjtBu7qFU7JkSaZPn07Dhg2zp7m33S233EKLFi1yzXfJJZdk553/+7//i2qZAPPnz2f+/PmICNOmTfNbp4YNG/L++++TlJTE4sWLQ7Y2qlGjBu+++y41a9bMlfZBgwYhIkyfPp0DBw7kmtdXaXbHHXdEnfZwMjMzmTJlit82a9GiRXbXzc8++yyq+Pbu3csLL7xA6dKl+fjjj+nRo0f2byLCXXfdxb333svJkycZN25c9m8nTpzgySefBODZZ5/lwQcfpHTp0tm/lypViptuuonLL788T+sZ6MiRI9nLHz16NL169cr+rUKFCtmVe4cOHeKVV14JGke02853LA0ZMoQaNWr4/VazZk2GDBlC1apV879yUdK3VaqonDdkQeRAKqTQPeeVUkoppZTyZv369dnd1u6///6gYR566CHmzZvHrFmzOH36dPbbGnv27Mm0adOYM2cO99xzD5BT+XXJJZdQtWpVlixZwjfffJNd2ROscmzhwoX89NNPNGjQIOSN+nXXXcd9993HggUL/NLg07JlSzp27JjXzQDAvHnzgo7zVK5cOR544AGef/55v+l5Tbevgu37778nIyMjqrHRunTpEnQ9L730Ulq0aMGaNWuYNWsWd955p+c4L7vsMurVqxc2zNatW5k2bRrLli1jz549nDx5EiB7TLClS5d6Xp6Pr8Lrsssuo1WrVrl+b9y4Mddeey3Tp09nxowZXH311bnC3HjjjVSoUCFo/I0aNeKSSy7hq6++4u233+Yvf/lL9m/Lli1jyZIlVKpUiZtuuinqtIdzwQUX0Llz51zTL7zwQsC+2CEaM2bM4OjRo6SkpATdTmDz2csvv+zXzfmbb75h9+7dVKhQgb/+9a9RLTMvFixYwOHDh6lUqZJf60CfpKQk7rvvPu69915mzJjBmDFjcoWJdtv5jqXp06fTu3dvSpUqFYtVyTetHFNR2XLsoUQnQSmllFJKqWLN1/KiatWqnHXWWUHDtG7dGrAtQ3bu3Jl9Q+prOTZv3jyMMYiIX+VXlSpVGDNmDHPmzOGyyy5j+/btbNmyhcqVK9OuXbvs+H2Dzx84cIBu3boFTYNvUPVjx46xd+9eatWq5fd78+bN87L6fipVqpS9rsePH2fz5s0cOHCA8uXL06NHj1w33nlNd5cuXejWrRsLFizg/PPPp3v37vTo0YNu3bpx8cUXU6ZMmZBpDNaCy/3bmjVrsvepV5G23bhx43j44Yc5depUyDB5GdfJl85QFT5g89706dNZt25d0N8jpX3w4MF89dVXTJo0ya9yzDeGXt++fYOOI5cf5513XtDpvjx75MiRqOLz5bN169aFzGfHjx8H7BhuPqtXrwZshVNBvAXTtz8bN24cMg/7jq8NGzZknzPcot129957L1OmTGHKlCnMmDGDXr160bVrV3r06BH2WIk3rRxTSimllFJKqSLk8OHDAGEH2/aNHeUOD3D++edz9tlns3PnTlauXEmLFi34+uuvs8cjq1ChAiVLlsyuMPP9/cMf/uDX8svX5e3AgQN88803EdPsHiDfJxbjCrVr186v5c2JEycYO3YsTzzxBDfeeCMLFizIbsGSn3SXKFGCGTNmMGrUKKZMmcLs2bOzB42vWLEigwcP5plnnglaaRNYKejm24fufeRFuG337bff8sADDwA53W4bN25MxYoVKVGiBLNnz+bSSy8NW3EWSjR5L9Q6Rdrv1113HTVq1GDx4sWsWLGCNm3acOLECd5++20g9l0qw6WpRIm8jUTly2e7du1i165dYcO6uzD73l5apUqVPC03WtHsz9OnT3P06NFc2yrabdeqVSu+/fZbhg8fzqxZs5g6dSpTp04FoFmzZowaNSpXd+eCoGOOKaWUUkoppVQRUrFiRQB2794dMoz7htwX3sc97tiiRYs4cuQIl1xySXbYjh078uOPP3LkyJHsyjHfPD6+bnFXXHEFxpiIn2i6IeZHcnIyjz/+OLfddhuZmZkMHDiQ06dPxyTdFStW5LnnnsseRPzNN9/kxhtv5Pjx44wdOzZkt8hff/01ZHp9+zBwH+XHlClTAOjTpw8vv/wy7du3p3LlytmVFfl5E2A0eS+v61S6dGkGDBgA5Iwx9tFHH7Fv3z5at25Np06d8hRvQfLls8GDB3vKZz6VKlUCcrq+xls0+zMpKSlmLfbat2/PJ598woEDB5g7dy4jRoygbdu2rFu3jhtvvJEvv/wyJsuJhlaOKaWUUkoppVQR4ntL3/79+/n555+Dhlm1ahVgb37PPvtsv998Y4fNmTMn6HhiPXv2JDMzkwULFgT9HXK61a1evdrv5r6wGD16NOXLl2f16tV+A8/HKt3NmjXjjjvu4P33389+S+TUqVODtpYKfBuh29q1awFi+ubFrVu3AoTszrdw4cKQ8wYbv83Nl05f/grG91uzZs3CxhXOoEGDAHjrrbc4efJkdpfKgQMH5jnOguTLZ+G2U7j5li1b5teiLF58+3PTpk3Z3TwD+dahSZMmEfNHtMqUKUOPHj0YNmwYS5cupU+fPhhjmDBhQkyX44V2q1RR+WNW5FfBqtCWJToBSimllFKqyGvatCmNGjViy5YtjBs3jhdeeCFXmJdeegmAXr165RoI31fRNX/+fI4cOYKI+LUM69mzJ6NHj2bixIls376dKlWq0LZtW784unXrRp06ddi5cyfvvvsuffv2jfFa5k/t2rW56667GDt2LCNHjqR///4kJSXFJd0XX3wxYMcq++WXX3K1mFq4cCGLFy+mQ4cOftNnz57N6tWrERGuuOKKfKfDx9e6J1h3vr179zJ58uSQ8/rGuQpVMdO7d2+ef/55vvzyS1avXk3Lli39ft+yZUt2ZeH//M//5Cn9YPN49+7dmT9/Pq+++iqzZ88mOTmZ/v375znOgnT11VdTpkwZvvvuO7777jsuuugiT/N17dqVOnXqsGvXLl5//XX+9re/eZqvbNmyHDt2LOoKtW7dulGxYkUOHz6ca4w3sF0pfW+pzM/+9Oqiiy7ivffeC1npH0/ackwppZRSSimlihARYdiwYYAdeP2tt97K/u3UqVM8/vjjzJkzh5IlS/LYY4/lmr9Ro0bUr1+f/fv3M3v2bFq1akXNmjWzf+/WrRulS5dm+vTpAHTv3j3X+EHJyck899xzgB0DauLEibnGsNq9ezcTJkzIDlfQ/va3v1G2bFk2b96cPaZRXtP91ltvs9ZXZAAAIABJREFU8fTTT7Nx40a/sMeOHeOZZ54BoHr16kG7j5YqVYoBAwb4vbVvzZo12a2j/vSnP9GwYcP8r7Cje/fuAPz9739nyZIl2dO3b9/ONddcw++//x5y3saNGwM5Y80Fi7t79+4YY7j55pv9tse2bdvo06cPp0+fpkOHDlx1Vf4aVgwePBiAxx57jKysLK677jqqVauWrzgLSu3atXn00UcxxmS/vTMrK8svzLZt2xgzZkx2qziwXUpHjBgB2PV+5ZVXst8yCvb4/uCDD3J1O/TtN984eF5VqFAhe3y6xx57jC+++CL7t99//52BAweyadMmKlWqxH333RdV3KHceeedQVtZbtmyhTfffBMgV0VyQdDKMaWUUkoppZQqJF544QVq1KgR8vPnP/8ZgNtuu42//OUvnDp1iv79+3P22WfTuXNnateuzejRo0lKSuKNN96gffv2QZfjaylmjMnVZbJs2bJceOGF2d0OA3/3GTBgAM899xzHjh1j0KBBVK1alQ4dOtC5c2fq169PnTp1uPvuu0O+tTDe6tSpk10BNXLkyOyxx/KS7j179vDMM8/QpEkTateuTadOnWjbti21a9fm5ZdfpmTJkkyYMIHSpUvnSsddd93FsWPHaNKkCRdccAGtW7emVatWbNmyhebNmzN+/PiYrvegQYNo2rQpBw4coFOnTjRv3pwLLriARo0asXr16qAtDX369esHwIsvvsj5559Pjx49SElJIT09PTvM1KlTadKkCStXrqRZs2a0adOGtm3b0rhxYxYvXkzDhg1577338jyYvc8NN9xA1apVyczMBOIzEH88PfXUUwwZMoTffvuNG264gerVq9OpUyc6duxI3bp1adCgAUOHDmXHjh1+891xxx08/vjjZGZmcv/991OjRg06duxIs2bNqFixIjfddFOu7pq+/TZkyBBatmxJSkoKKSkpzJw5M2I6hw0bxrXXXsuhQ4fo1asXjRo1olOnTtSuXZvJkydTtmxZpk2bRr169WKyXb7//ntuvfVWqlSpQpMmTejSpQtNmzblvPPOY82aNTRp0oSnnnoqJsuKhlaOKaWUUkoppVQhcezYMfbu3Rvy43ubHcDrr7/Oxx9/TK9evThx4gTLli2jTJky9O3bl++//z5sZULgGGPhfg8cjN/tkUceYenSpdxxxx3UqVOHNWvWsHz5cgCuueYaJk6cyJgxY6LZBDH1yCOPkJyczMaNG5k2bZrf9GjSfcMNNzBmzBiuuuoqypcvz5o1a1i7di01atRgwIABLF68mBtvvDFoGqpVq8YPP/zAnXfeyb59+9iwYQPnnHMODz30EN999x01atSI6TpXqFCBr7/+msGDB1OrVi02b97M3r176devH0uWLKF169Yh5+3bty8TJkygQ4cO/PLLL8yfP5958+aRkZGRHaZevXosWrSI4cOH06pVKzZv3syGDRto1qwZTz75JEuWLKFRo0b5Xo8yZcpw6623AtCgQQMuvfTSfMdZkESE8ePHM3/+fG655RYqVarEypUrWbVqFWXLlqVPnz68/fbbPPjgg7nmHTVqFAsWLKBPnz7Z8+3du5dWrVrx1FNPccMNN/iFHzp0KM8++yytWrVi69atzJs3j3nz5kV8UybYlo3Tp08nPT2d7t27s2/fPlasWEH16tUZOHAgy5cvp3fv3jHbLuPGjePBBx+kQ4cOHD58mMWLF/PLL7/Qvn17Ro4cyaJFi/xashYUKYyDJxZnHTt2NIsWLUp0MkJq+/BXiU5CkbbshaJ1QldKKaWUyqu1a9fSvHnzRCdDqYRJTU1l8uTJPP3006SlpSU6OUVSnz59eP/99xk+fHhCWhOpwi/Ka03INwpoyzGllFJKKaWUUkoVKr/++iuffPIJSUlJ3H777YlOjjrDaeWYUkoppZRSSimlCg1jDMOGDePkyZNcd911MRvvSqlQSiY6AUoppZRSSimllFIzZ87kueeeY/v27WzdupXk5OTstzcqFU/ackwppZRSSimllFIJt2vXLubNm8cvv/xC586d+fzzz3XsQlUgtOWYUkoppZRSSikVY+np6aSnpyc6GUVKamoqqampiU6GKoa05ZhSSimllFJKKaWUKra0ckwppZRSSimllFJKFVtaOaaUUkoppZRSSimlii2tHFNKKaWUUkoppZRSxZZWjimllFJKKaWUUkqpYuuMrxwTkZtE5FMR2SkiR0RksYjcHBBmroiYIJ8yAeHOFpGPROSwiOwRkddEpFyQZQ4SkY0ictxZ3qXxXk+llFJKKaWUUkopFb2SiU5AAXgQ2Ao8AOwBegNvi0gNY8x4V7g5wOMB857wfRGRUsAs4CTQF6gCvOT8vdUV7mZgApAGLABuA/4jIp2MMatiumZKKaWUUkoppZRSKl+KQ+XYNcaYPa7/Z4vIWdhKM3fl2D5jzMIw8dwINAfOM8ZsBRCRU8A7IjLcGLPRCZcGTDbGjHDCzAPaAY/iqkRTSimllFJKKaWUUol3xnerDKgY81kKnBVlVFcBP/oqxhwfY1uSXQkgIo2AJsB7ruVnAe878yullFJKKaWUUkqpQuSMrxwL4SJgQ8C0K0TkqPOZJSJtAn5vBqxzTzDGnAQ2O7/h+usXDlgLVBORmvlPulJKKaWUUkoppZSKlWJXOeYMjn8dMNY1eR5wH9ALGAzUB74WkQauMFWBA0Gi3O/8hutvYLj9Ab8rpZRSSimlVExlZGQgIohIopOSS2FOW6C5c+ciIjRo0CAhy2/QoAEiwty5cxOyfKWKo2JVOeZUdr0NfGKMSfdNN8Y8bYz5tzHma2PMW0BPwAD3F1C6BovIIhFZ9NtvvxXEIpVSSimllFKFSEpKSnblke9TtmxZ6tSpQ/v27Rk4cCDvvPMOJ06ciByZSoi0tLRc+7BUqVLUqFGDZs2a8ac//YlXX32VPXuCjfyjlEqk4jAgPwAiUg34HNgG9AsX1hizS0S+Adq7Ju8HKgcJXhVY7gqDE+5AQBj374HL+yfwT4COHTuacGlTSimllFLqTDG+6bhEJyFP/ro+fs/QzznnHOrXrw9AZmYmBw4cYPXq1SxdupRJkyZRo0YNxo8fT9++fXPNW6pUKZo2bRq3tClvKlWqROvWrQEwxnDw4EF++ukn1q9fz3vvvcfQoUMZOnQoTz/9NKVKlco1f+PGjSlTpgzlypUr6KQrVWwVi8oxESkH/AcoDVxtjDnqYTbjfHzWkTOmmC/e0kAjYIIrDE64ba6gzbBvw9RmYUoppZRSSqmQbr/9dtLS0vymnThxgnnz5jF69Gjmzp3LzTffzPbt23n44Yf9wp199tmsWxc4/LEqaO3atcvVJdIYw/Lly3nttdeYNGkSo0aNYvny5XzyySeUKOHfoeurr74qwNQqpaAYdKsUkZLYt0WeD1xpjPnVwzx1gG7AYtfkz4FOInKua9r/AsnATABjzBbsQP83ueIq4fz/ef7WRCmllFJKKVUcJScnc8UVVzB79myGDBkCwKOPPsr333+f4JQpr0SEtm3bMnHiRN555x1EhP/85z+MHTs28sxKqbg74yvHgL8DvYERQHUR6eL6JItIGxH5TERSRaSniAwA5gJZgLud9wfYlmHTRaS3iNwMvAa8bYzZ6AqXBtwmIsNEpCcwCVsx91y8V1QppZRSSil15hIRXn75ZVq0aIExhlGjRvn9Hm7Q+59++olx48bRq1cvGjVqRNmyZalcuTIXXnghL730UsixzFJTUxER0tLS/j979x6fc/3/cfzxmbEx2zDn44yZzZLDHGdZzqmciqQcC6X65lB0duggOikdlLOiIkon5RRyNkKGzTBhTMOYOYzt8/tju67fLrt2uhobe95vt+t26X18fT5Xt1s3r94Hzp49y8iRI6lVqxYuLi6EhoYCMGfOHAzDIDQ0lOTkZKZMmULDhg1xd3fP9AD+lStX0q5dO0qVKoWbmxstWrTgp59+yvL59+zZw6BBg6hZsyaurq6UKlWK0NBQFixYYLd9UlISixcvZsCAAQQGBlK6dGlcXV2pVasWQ4YMISoqKsv5bpRevXoxePBgAN555x0uX75sU5/ZgfzJyclMmzaNVq1aUapUKYoWLUr58uWpX78+Tz31FLt377Y738aNG+nduzdVq1bFxcWFsmXL0rlzZ3777Te77S9cuMBXX33FQw89hL+/Px4eHpQoUQJ/f39GjhzJyZMnM322b775hnbt2lG2bFmKFi2Kl5cXAQEBPPbYY/z55592++T2d3V0HpGsFIbkWIe07w+BTdd9KgGnAQOYCPwOvA+EAy1N0/zHMohpmleBTsBRYCGpibHFpN5uSbp2XwNPAANIXVFWn9StnHtuyNOJiIiIiEih4ezszJNPPgnA8uXLc3xA/5QpUxgxYgR//vknTk5O3HHHHZQpU4Zt27YxatQo2rZtS1JSUqb94+LiaNy4MR9++CHFixenXr16uLi42LQxTZMePXowYsQI4uPjqVu3Lp6eGY9tnjFjBh06dODvv/+mdu3aODs7s3nzZrp27cqiRYvszj99+nQaNmzI7NmzOX36NHXr1sXNzY21a9fyyCOPMHDgwAx9IiMjefDBB/nyyy85c+YMPj4++Pj4cPLkSaZPn06jRo3YvHlzjt5fXnvmmWcA+Pfff3Mcw6OPPsqTTz7Jhg0bcHd3p2HDhnh6enLgwAE+/fRTfvzxxwx9xo4dS3BwMN9++y0XL16kXr16ODk5sWzZMu655x7Gjx+foc+aNWvo27cvS5Ys4cKFC/j5+VGtWjUOHTrEBx98QMOGDTl48GCGfi+++CIPP/wwq1atwtnZmTvvvJPy5cvzzz//MGvWLObOnZuhjyO/qyPziGTntk+OmabpbZqmkckn2jTN46ZpdjZNs5JpmsVM0/QyTfMB0zQzbNY3TfOYaZrdTNMsmdbuKXvnl5mmOd00zdqmabqYptnINE1tGhcRERERkTxx1113Aalnke3cuTNHfe655x7Wrl1LQkICUVFRbN26lcOHD7N//35atmzJhg0bstziN23aNMqWLUtUVBR79uxhx44d/PDDDzZtNmzYwMaNG1mzZg2HDx9m27ZtnDhxIsNY//vf//j88885efIkYWFhnDp1it69e2OaJqNGjSIlJcWm/R9//METTzxBsWLFmD59OvHx8ezcuZPjx4+zZs0aKlWqxJw5c5gxY4ZNv3LlyvHVV18RFxdHTEwM27dvZ+/evcTGxjJ27FgSEhIYMGAApnnz70QLDAykTJkyADnaHvvXX3/xzTff4OHhwdq1azl69Chbt27lwIEDJCQk8Msvv9C8eXObPnPnzmXChAmUK1eOxYsXc+bMGXbs2MGpU6f47rvvcHd3Z9y4caxYscKmn6+vL4sXLyY+Pp6jR4+ybds2IiIiiImJYejQoZw8eZJhw4bZ9ImLi+Odd97B2dmZ7777jhMnThAWFsa+fftISEhgzZo13HPPPTZ9HPldHZlHJCdu++SYiIiIiIjI7cRymyVAbGxsjvq0bduWu+66iyJFitiU16lTx7rSZt68eZn2d3Z2ZsmSJdSsWdNaVrx4cZs2ycnJfPbZZ7Ru3TrTNgADBw5k8ODB1i2XLi4ufPjhhxQrVoyjR49m2B74wgsvkJKSwpQpU3j88cdtDrBv3bo106al3o82efJkm34VKlTgkUceoXTp0jblJUuWZNy4cQQHBxMREcHWrVszfe4bqVq1akDOfsOIiAgA2rRpY02OWjg7O9O5c2fatWtnLbt69SqvvPIKAPPnz6dHjx42fR544AHeeOMNIHVrZ3p+fn706NEDNzc3m3IvLy+mTZtG1apVWb58uc32yqioKJKTkwkMDOSBBx6w2U5rGAatW7fmgQcesBnPkd/VkXlEcqJQ3FYpIiIiIiJyuyhZsqT1zwkJCTnuFx8fz7fffsvGjRs5ceIEly5dslk1FRERwaVLl+wmtNq1a0fVqlWzHN/Dw4Pu3btnG8eQIUMylJUvX56aNWsSERHBwYMHadCgAZB6VtrWrVtxdXWlX79+dsfr3LkzRYsW5cCBA8TExFC5cmVrnWmarFixgl9//ZWoqCjOnz9vXZl24EDq0dF//fUXzZo1yzbuvGb5HXPyG1oSolu2bCE6Ohpvb+8s22/evJljx47h7e1N+/bt7bbp1q0bzz77LOvXryc5OdkmcXrt2jV+/PFHVq5cyeHDh0lMTLS+t/PnzwOwc+dOOnXqZBNfZGQkO3bsoFGjRlnG5+jvmtt5RHJKyTEREREREZFbSPpkioeHR476rFmzhp49exIXF5dpG9M0OXPmDFWqVMlQ5+/vn+0cderUybAyzZ7atWvbLS9fvjwRERFcuHDBWrZr1y4gdVVQ27ZtMx3TsoLo2LFj1uRYQkIC3bp1Y/Xq1VnGc/r06WxjvhEsv2NOfsPmzZvTqlUr1q9fj6+vL3fddRetW7emVatWtGzZEldXV5v2ltV38fHxtGrVyu6YlsTopUuXOH36NOXLlwcgJiaGzp07W999ZtK/t8qVK9OnTx8WLFhAUFAQzZs35+677yY4OJiQkBDc3d1t+jr6u+Z2HpGcUnJMRERERETkFnLkyBHrnytUqJBt+/Pnz1sTYx07dmTMmDHccccdlCpVCmdnZ1JSUqxJratXr9od4/otdo62yaqdZVtd+tVs8fHxQGoCZ8OGDdmOffHi/x8JPWrUKFavXk2FChWYNGkSd911F5UqVbImkvr168eXX36Z6TPfSKZpcvToUSBnv6GTkxO//vorb775JvPmzWP16tXWpJ+7uztDhgxhwoQJlChRAvj/9xYfH5/r9zZgwAB27dqFr68vb731Fs2bN6d8+fIUK1YMSD3z7s8//8zw3mbPnk1gYCAzZsxg06ZNbNq0CQBXV1cefvhh3nnnHby8vGzic+R3zc08IjmlM8dERERERERuIevWrQNSkwGW7YdZ+fXXX4mLi6N69er88MMP3H333ZQtWxZn59S1Evm1cionLFsP69Spg2ma2X5CQ0OB1G2BX3/9NZCaTOnfvz81a9a0WWGVn8/9999/c/bsWYAMB+lnxt3dnbfffpuYmBj27dvH9OnTefDBB7l8+TLvvfceQ4cOtba1vLcOHTrk6L1ZtmmeOHHCekD/0qVLefDBB6latao1MQaZv7dixYrx4osvcvDgQQ4fPsyXX35Jv379KFKkCLNnz6ZHjx7WrZmO/q65nUckp5QcExERERERuUVcu3bNelB5x44dbZIWmTl8+DAAQUFBGbbfQer5VAVVYGAgANHR0SQmJua437///mvdnmlvW2FycjJhYWF5E6QDpk6dCqRuJXXkvLO6devy+OOPs2jRIuutofPnz7du1bS8t/Dw8FzdxhkdHQ1AmTJl7G6lPXv2LJGRkdmO4+3tzaOPPsrcuXPZsmULhmGwbt069u7daxNfbn/X3M4jklNKjomIiIiIiNwCTNNkxIgR7Nu3DycnJ15++eUc9bNstUt/u2B6H3zwQZ7FmNdq1apFw4YNSUpKsiaUcsLyzGD/ub/66itOnTqVJzHm1sKFC5k5cyYAY8aMwcXF5T+N17JlSyD1348TJ04AqQnBihUrcvz4cb799tscj2V5b+fPn7fZymjx0Ucfce3atVzFV69ePTw9PYHU88zA8d81t/OI5JSSYyIiIiIiIgXYlStXWL58OW3atOHjjz8G4J133qFJkyY56n/XXXcBsHHjRmbNmmUtT0xMZOjQodYzmwqqd999lyJFivDKK6/w9ttvZ0jaxMfH89VXXzF69GhrmaenJ/Xr1wdg5MiR1hsWIXW74FNPPWV3Fd2NYpomO3fuZPDgwfTu3RvTNOnatSvDhw/PUf+vvvqKsWPHWm/YtLh06RITJkwAwMvLy7o90sXFhbfffhuAxx9/nBkzZmQ4Iyw2NpZp06ZZ2wEEBATg5eXFtWvXePbZZ7ly5QoAKSkpfPHFF7z++ut239vKlSsZOXJkhkP8r127xvvvv098fDzOzs7ceeed1jpHfldH5hHJCR3ILyIiIiIiUkDMmjWLlStXAql/4T937hyHDh0iKSkJSN2GN3XqVHr16pXjMRs2bGi94e+xxx5j7NixVKxYkX379nHx4kVmzZrFwIEDb8jz5IU2bdowe/ZshgwZwosvvsi4ceOoW7cuLi4uxMXFcfjwYUzTpHXr1jb9Jk2axH333cfPP/9MlSpVqFOnDv/++y9Hjx6lffv2VKhQga+++irP4/3rr7+sWzlN0+T8+fMcPXqUc+fOAamJq9GjR/Paa69ZLyHITlxcHBMmTGDChAmUL1+e6tWrc/XqVQ4dOkRCQgLOzs5MmzbNZptt//79OXnyJC+99BKDBw9m+PDh+Pn5UaRIEU6ePGm9EKB///7WPkWLFmXixIkMGTKEGTNmsHjxYnx8fDh27BixsbEMHDiQQ4cOsXbtWpv4Lly4wAcffMAHH3xA6dKlqVmzJpC6pddytto777xjc/mAI7+rI/OI5ISSYyIiIiIiIgXE0aNHrUkLFxcXPD09qVevHg0bNqRDhw507949R+eMXW/u3LnUq1ePOXPmEB0dzaVLlwgJCeH555+nTZs2BTo5BtC3b1+Cg4P56KOPWLFiBVFRUVy5coWyZcvSrl077rvvPnr06GHTp1OnTqxYsYLXX3+drVu3sn//fmrVqsWwYcMYNWoUgwcPviGxnj9/3noDo7OzMx4eHlSsWJGOHTvSqlUr+vTpk+vbFB944AGSk5NZtWoV+/fvZ+/evVy7do0qVarQo0cPRo4caV0pl96YMWO45557mDp1Kn/88Qd79+4lJSWFChUqcP/999O1a1e6du1q02fw4MGUKVOGyZMns3v3biIjI6lbty7jx49nyJAh3H333RnmCQkJ4eOPP2bVqlX8/fffHDhwgMuXL1OhQgXatWvHM888Q0hISIZ+uf1dHZ1HJDtGbg7nkxsvKCjIzM+DIbPTYPSq/A7hlrZzctv8DkFERETkpti3b5/dA71FRETySi7/W2NkVqEzx0REREREREREpNBSckxERERERERERAotJcdERERERERERKTQUnJMREREREREREQKLSXHRERERERERESk0FJyTERERERERERECi0lx0REREREREREpNBSckxERERERERERAotJcdERERERERERKTQUnJMREREREREREQKLSXHRERERERERESk0FJyTERERERERERECi0lx0REREREREREpNBSckxERERERERERAotJcdERERERERERKTQUnJMREREREREREQKLSXHRERERERExGFz5szBMAxCQ0PzOxQAQkNDMQyDOXPm5LpvQXsWEbk5lBwTERERERHJZ5aEjmEYNGnSJMu2Fy9exNPT09p++PDhNynKW9vOnTsZN26cQ0kzEbm9Oed3ACIiIiIiUjg1GL0qv0NwyM7JbW/o+GFhYezbtw9/f3+79d9//z3nz5+/oTHkhqenJ35+flSvXj2/QwGgevXq+Pn54enpaVO+c+dOxo8fT+vWrRkwYIDdvgXtWUTk5lByTEREREREpICoW7cu+/fvZ+7cubz99tt221hWPlna5rfu3bvTvXv3/A7Dat68eQ73LWjPIiI3h7ZVioiIiIiIFBC9evXCxcWF+fPnk5KSkqH+2LFjrF69Gj8/P5o1a5YPEYqI3H6UHBMRERERESkgSpcuTZcuXTh27BirVmXcdvrll1+SkpJC//79sxznwoULTJw4kSZNmuDp6Unx4sWpW7cuL7zwAmfOnLHbx3KGWXR0NNu3b6dr166ULVuW4sWL07BhQ2bPnm23X1aH2Ds6Zvrnbdq0KW5ubpQpU4ZOnTqxfv16oqOjrWNfz96B/N7e3gwcOBCAtWvXWvteP0ZWzxIREcGgQYOoWbMmLi4ulCxZEm9vbzp16sSUKVOyfA4RKdiUHBMRERERESlALImvuXPnZqibO3cuTk5O9O3bN9P+UVFRNGjQgJdeeomdO3dSrlw5fHx8OHToEJMmTaJx48ZER0dn2n/ZsmW0bNmSdevW4e3tjZubGzt37mTQoEG8++67Dj2TI2OOGDGCfv36sW3bNjw9PalVqxZbtmwhNDSU77//PlfzN2nSBF9fXwA8PDwIDg62+WRn+/btNG7cmNmzZxMbG4uvry9+fn5cunSJ5cuX89xzz+UqHhEpWJQcExERERERKUA6duxIhQoV+P7770lISLCWb968mYiICNq0aUPVqlXt9r18+TJdunTh4MGD9OnTh2PHjhEVFUV4eDgxMTF06dKF6OhoHn300Uznf/bZZ3nllVc4deoUYWFhnDp1ipEjRwIwduxYhy4DyO2YP//8M1OmTMHJyYkvvviC48ePs23bNmJjY3n66acZM2ZMruZftGgRL730EgANGzZk/fr1Np/sTJgwgcTERPr27UtsbCx79uxh+/btxMbGcuTIESZOnJireESkYFFyTEREREREpABxdnbmkUce4eLFi3z33XfWcstKsqy2VM6ePZt9+/YREhLCl19+SYUKFax1ZcuWZcGCBVStWpUNGzawceNGu2O0b9+eV199laJFiwLg5OTExIkTqVChAhcvXmT16tW5fqbcjjl58mQAnnrqKQYPHmzd+lisWDGmTJlCkyZNch3DfxEREQHAqFGjcHd3t6mrVq0azz///E2NR0TylpJjIiIiIiIiBcz1WyuvXLnCN998g7u7Oz169Mi0nyWZ9thjj+HklPGve25ubrRv3x6ANWvW2B1jyJAhGcqKFStGgwYNADh48GDOH8SBMS9cuMCGDRuA1Oew5/HHH891DP9F9erVAVi4cKHdixJE5NbmnN8BiIiIiIiIiK369evToEED1q1bx5EjR9iyZQvx8fEMHDiQEiVKZNpv9+7dALz//vtMnz7dbpsjR44AqTdf2lO7dm275eXLlwdSk1e5lZsxo6KiSElJoUiRIgQGBtrtZ0mq3SwQcL8PAAAgAElEQVTPPfccK1eu5K233mLevHl07NiR4OBgWrdujY+Pz02NRUTynpJjIiIiIiIiBdCAAQMYPnw48+bNY/PmzdayrMTHxwP/nyTLysWLF+2Wu7m52S23rEQzTTPbsf/LmJZEWfHixSlSpIjdftdvbbzROnTowIoVK3jzzTf5888/mTlzJjNnzgSgadOmTJ48mdatW9/UmEQk72hbpYiIiIiISAHUp08fihYtyueff87vv/9OzZo1CQkJybJPyZIlAdi4cSOmaWb5mTNnzk14ityzPMOlS5dITk622yb9RQU3S9u2bVm9ejVnzpzh999/5+WXX8bX15etW7fSsWNHwsPDb3pMIpI3lBwTEREREREpgMqVK8c999zD8ePHSU5Opl+/ftaD6TNj2Ya4Z8+emxHiDVG7dm2cnJxITk7ONOG0a9euXI+b3bvLKXd3dzp06MAbb7zB3r17adGiBVeuXGH27Nl5Mr6I3HxKjomIiIiIiBRQTz/9NG3btqVt27b069cv2/Y9e/YE4OOPPyYpKelGh3dDlCxZkuDgYABmzZplt01m5VkpXrw4kLoiLa84OzvTtGlTAGJiYvJsXBG5uZQcExERERERKaDat2/PypUrWblyZY4Ofh88eDD+/v7s3r2b+++/nwMHDtjUJycns379eh5//HGOHz9+o8L+z0aPHg2kJvlmzZplPZMsKSmJUaNGWc9gy41atWoBEB4ezqlTp3LVt1evXvzwww9cvnzZpvyvv/5i4cKFADRu3DjXMYlIwaDkmIiIiIiIyG2iePHi/Prrr9SrV4/ly5dTp04datWqRYsWLahfvz7u7u6EhIQwc+ZMrl69mt/hZuq+++7j2WefJTk5mccee4yqVavStGlTKlasyIcffsjbb78N/P+B/jnRqFEj6tatS2JiIrVq1aJZs2aEhoYSGhqabd/ly5fTvXt3PDw8CAgIoFmzZvj4+NCoUSNOnDhBixYteOqppxx9XBHJZ0qOiYiIiIiI3Ea8vb0JCwvjk08+ITQ0lPj4eLZt28aRI0eoW7cuo0aNYv369dSoUSO/Q83SlClTmDt3LkFBQZw9e5YDBw4QFBTEqlWr6NixIwAeHh45Hs8wDJYtW0afPn3w8PBgx44drF27lrVr12bbd968eQwbNoyAgADi4uLYsWMHZ8+eJTg4mI8++og1a9bg6urq8LOKSP4yHLmGV26coKAgMywsLL/DyFSD0avyO4Rb2s7JbfM7BBEREZGbYt++ffj7++d3GHKb+u677+jZsycNGzZkx44d+R2OiOSTXP63JtNbObRyTERERERERG4plgP5Q0JC8jkSEbkdKDkmIiIiIiIiBc7HH3/Mpk2bbMoSEhIYMWIEy5Ytw9nZmaFDh+ZTdCJyO3HO7wBERERERERErvfbb7/xzDPP4OXlhY+PD0lJSezfv58rV65gGAYffPABAQEB+R2miNwGlBwTERERERGRAmfYsGG4u7uzZcsW9u/fz+XLlylfvjwtW7bk2WefJTg4OL9DFJHbhJJjIiIiIiIiUuB07tyZzp0753cYIlII6MwxEREREREREREptJQcExERERERERGRQkvJMRERERERERERKbSUHBMRERERERERkUJLyTERERERERERESm0lBwTEREREREREZFCS8kxEREREREREREptJQcExERERERERGRQkvJMRERERERERERKbSUHBMRERERERERkUJLyTEREREREZFCYMCAARiGwbhx4/I7lHwzbtw4DMNgwIAB+TJ/dHQ0hmFgGEa+zC8i9ik5JiIiIiIikk8siZLcfqKjo/M7dBGR24ZzfgcgIiIiIiKF0+EXnsvvEBxS8+1382ys4OBgu+UbNmwAIDAwEE9Pzwz1rq6ueRaD3DxFixbFz88vv8MQkesoOSYiIiIiIpJP1q9fb7fcsu1u6tSphIaG3sSI5EaqUqUK+/fvz+8wROQ62lYpIiIiIiIiIiKFlpJjIiIiIiIit4g5c+ZgGEaWq8lyci7Z6dOneeqpp6hevTouLi7UrFmT559/nvPnz2faJykpiU8//ZSQkBDKlCmDi4sLPj4+PPXUUxw7dsxuH29vbwzDYM2aNYSHh/Pwww9TqVIlihQpkuFigN9++40ePXpQpUoVXFxcqFChAi1atGDixInExcVZ261ZswbDMPD29s401vTz5kZ0dDRPPvkktWrVwtXVlVKlShESEsKMGTNITk622yciIoJBgwZRs2ZNXFxcKFmyJN7e3nTq1IkpU6ZkGD+zA/nPnj3Lyy+/zB133IGbmxsuLi5UqVKFli1b8uqrr9q8AxHJW9pWKSIiIiIiUoicOXOGpk2bEh0dTb169fDw8GDv3r28++67LFu2jLVr1+Ll5WXT59SpU9x7772EhYXh5OREtWrVqFatGpGRkXz66ad8++23/P777zRu3NjunOvXr+fNN9/EMAwCAgIoVaqUNUGUnJzM448/zpw5cwAoXbo09evX58yZM4SFhbF582b8/f3p1q3bDX0vq1evpmvXrly4cIHixYsTGBhIfHw869evZ/369SxevJjvv//e5ry37du307p1axITEylevDi+vr64uLhw7Ngxli9fzsqVKxk+fHi2c58/f57mzZsTGRmJk5MTtWrVolSpUpw8eZKtW7eyadMmOnbsSKtWrW7kKxAptLRyTEREREREpBCZNm0aLi4u7N+/n927d7Nnzx52796Nt7c34eHh/O9//8vQp3fv3oSFhdGhQwcOHDhAdHQ0u3btIi4ujsGDB3P69Gl69uxJUlKS3TnHjRvHww8/TGxsLGFhYezbt4/Ro0cD8NprrzFnzhzc3NyYN28ecXFxbNu2jYMHD3Lu3DlmzpxJtWrVbug7+ffff+nVqxcXLlygV69enDhxgrCwMKKioli9ejWlS5fmt99+46WXXrLpN2HCBBITE+nbty+xsbHs2bOH7du3Exsby5EjR5g4cWKO5p85cyaRkZHUr1+fw4cPExkZydatW/nnn384c+YMs2bNolKlSjfi0UUEJcdEREREREQKlatXrzJv3jx8fX2tZYGBgcyYMQOAb775xmZL5rJly/jjjz/w9fVlyZIl+Pj4WOvc3NyYNm0aQUFBHD58mO+++87unPXq1WP69Om4u7tby4oXL05sbCzvvfceALNmzaJv3744Of3/X1NLlCjBoEGDMl2Rllc+++wzTp8+TZUqVfjyyy9tbgi9++67ef/99wH49NNPbbY3RkREADBq1CibZwOoVq0azz//fI7mt4wzaNAgqlevblPn4eHBwIEDqVWrVu4fTERyRMkxERERERGRQqR58+YEBQVlKG/bti0BAQGkpKTw+++/W8stCa9HHnkENze3DP2cnJy4//77ATI946tv374UKVIkQ/kvv/zClStXqFWrFr169XLkcfLEr7/+CsCwYcMoVqxYhvpHH32UChUqcOXKFVavXm0ttySyFi5cSEpKisPzW8b5+eefSUxMdHgcEXGMzhwTEREREREpRAICArKs27t3r3UlE8Du3bsB+Prrr1mxYoXdfrGxsQCZHszv7+9vtzw8PBxITdjlJ8vzBgYG2q13dnambt26xMbGsn//fmv5c889x8qVK3nrrbeYN28eHTt2JDg4mNatW9ussMvOoEGDeO+991i5ciWVK1emffv2tGrVipCQEBo1amT3AH8RyTtKjomIiIiIiBQi5cuXz7SuQoUKACQkJFjL4uPjgdQEUvqkmT0XL160W25vxRlgvR2zVKlSWY57o1me1/L89lSsWNGmLUCHDh1YsWIFb775Jn/++SczZ85k5syZADRt2pTJkyfTunXrbOevWLEiW7ZsYezYsSxdupTFixezePFiIHV75iuvvMKQIUMcfj4RyZq2VYqIiIiIiNwiLCuITNO0W5+TLXmnTp3KtM6yAiz9+VklS5YEYMGCBZimmeUns22VmfHw8ADg3LlzOe6T3TuAnL2H9CzPa3l+e06ePGnT1qJt27asXr2aM2fO8Pvvv/Pyyy/j6+vL1q1b6dixo3V1XHZq167N/PnziY+PZ/PmzbzzzjuEhIRw9OhRhg4dak26iUjeU3JMRERERETkFmFZgZVZgisqKirbMfbu3Ztp3b59+wDw8/Ozllm2Gu7ZsyfHceaUZexNmzbluE927+DcuXM2h+bnhOV5M3vGa9euWbdT1q1b124bd3d3OnTowBtvvMHevXtp0aIFV65cYfbs2bmKxdnZmWbNmvHcc8+xbt0666H+n332Wa7GEZGcU3JMRERERETkFlG7dm0ADh8+bDcB9Pnnn2c7xubNm9m+fXuG8tWrVxMeHo5hGHTo0MFa3rNnTwBmz57N2bNnHQ3drnvvvRdXV1cOHjyY6U2X17Pc2nj58mX+/vvvDPU5eQfX69y5M5CagEpKSspQv2DBAmJjY3F1daVNmzbZjufs7EzTpk0BiImJyXU86bVs2TJPxhGRzCk5JiIiIiIicouoX78+1apV48qVKwwfPtyayDFNkxkzZjBnzpxsxyhatCj9+/fn4MGD1rK9e/cyePBgAB566CFq1qxprbv//vu5++67OXHiBO3atWPHjh0245mmyY4dOxg5ciTbtm3L1fOUL1+eUaNGATBw4EAWLFhgc+vjxYsXmT17tk0yr3Tp0taE0YgRI6znlgH89NNPvP766xQtWjRXcTz55JN4eXlx7Ngx+vXrZ7PNc+3atYwcOdLarmzZsta6Xr168cMPP3D58mWb8f766y8WLlwIQOPGjbOd/6WXXuLzzz/PkPCMjY1lypQpOR5HRByj5JiIiIiIiMgtwsnJiXfffRfDMJg/fz7lypUjKCiISpUqMWTIEKZOnZrtGE888QSXLl2iTp063Hnnndxxxx0EBgZy6NAh/P39M4xhGAaLFi0iJCSEHTt20LhxY6pVq0bz5s1p0KABpUqVonHjxnzwwQe5PusLYPz48fTr148LFy7wyCOPUK5cOZo2bUrt2rUpVaoUgwYN4ujRozZ9Jk+eTLFixVi1ahWVKlWicePGVK9enS5dujBy5EgqV66cqxjKlSvHwoULKVmyJN9++y2VKlWiSZMm+Pr6EhoayunTp+nYsSNvvfWWTb/ly5fTvXt3PDw8CAgIoFmzZvj4+NCoUSNOnDhBixYteOqpp7Kdf+/evTzxxBOUL18eHx8fmjVrRkBAAFWrVmXt2rVUqFCB9957L1fPJCI5p+SYiIiIiIjILaRXr14sXbqUFi1acPXqVSIjIwkICGD58uU89thj2fYvU6YMW7duZejQoZw5c4bIyEiqVavGqFGj2LRpk83KKAsvLy/++OMPvvzySzp16sSVK1fYvn07Bw8epFq1ajz55JMsX76cVq1a5fp5ihQpwty5c/nxxx+5//77cXZ2ZufOnSQmJtKkSRPefvttQkJCbPoEBwezevVq2rZti5OTExEREVSuXJlvvvmG8ePH5zoGgDZt2rB7926GDh1KxYoV2b17N6dOnSI4OJgvvviCX375BVdXV5s+8+bNY9iwYQQEBBAXF8eOHTs4e/YswcHBfPTRR6xZsyZDH3teffVVXn75ZVq2bElSUhI7d+7kyJEj+Pv7M2bMGHbv3k2dOnUcei4RyZ6R1Q0fcvMFBQWZYWFh+R1GphqMXpXfIdzSdk5um98hiIiIiNwU+/btw9/fP7/DEBGR21gu/1tjZFahlWMiIiIiIiIiIlJoKTkmIiIiIiIiIiKFlpJjIiIiIiIiIiJSaDnfqIENw/ABygLRpmmeulHziIiIiIiIiIiIOCrXK8cMwyhrGMaQtI+nnXofwzC2AQeATUCMYRgL7bW9GQzD6GkYxo+GYRw3DOOCYRjbDcN42E67wYZhHDAM43JamwwnpxuGUcUwjO8Nw0gwDCPOMIyPDcMo4chYIiIiIiIiIiKS/xzZVtkDmAY8b5rmufQVhmEUBX4FGpF6C4CRNscDwJL/FqrDRgIXgBFAF+APYIFhGM9YGqQly6YB84B7gHDgZ8MwAtO1KQr8DtQAegPPAj2BL9JPlpOxRERERERERESkYHBkW2XHtO8f7NT1A+oAJqmJpNVAW6ADEGoYRg/TNG92kux+0zTj0v3zasMwKpOaNJuaVjYOmGua5usAhmGsBRoCLwCPprV5EPAHapumeTit3VXgG8MwxpumeSAXY4mIiIiIiIiISAHgyMoxP1KTX1vs1PVJ+/7TNM17TNN8h9TVU2uuq79prkuMWfwFVAbr2Wh1gIXp+qQAi0iN3eIeYJslMZbmByAJ6JTLsUREREREREREpABwJDlWLu37SPpCwzBcgJakJs4+t5SbpmkCM0jdYtnYsTDzXAsgMu3PddO+91/XZh9QxjCMcuna2bQxTTMJOJhujJyOJSIiIiIiIiIiBYAjybHSad/XritvArik/XnFdXWH0r4rODBfnko7HL8b8F5akeV54q9reva6+tJ22ljalb6ubXZjiYiIiIiIiIhIAeBIciwx7bv8deV3pX1H2NnKeCXt23RgvjxjGIY3sABYaprmnPyMJb20mz/DDMMI+/fff/M7HBERERERERGRQsOR5FhU2neb68q7kZr8WmenjyWRFuvAfHnCMIwywDJSt4M+kq7KsqrL87oupa+rP2unjaXd2evaZjeWDdM0vzBNM8g0zaBy5bTzUkRERERERETkZnEkObac1PPDnjAMo7NhGCUNw3gGCEqrX2qnz51p3zEOzPefGYZRAvgZKAbcZ5rmxXTVlvPB6l7XrS5wxjTNf9O1s2ljGEYxwCfdGDkdS0RERERERERECgBHkmMfkXqmVkngJ+AcMCWtbo9pmsvs9OlM6qqyvxwJ8r8wDMOZ1NsifYFOpmmeSl9vmuYhUg/n75muj1PaP6d/lmVAE8MwaqQr60LqOWu/5XIsEREREREREREpAJxz28E0zVjDMO4HvgUqp6uKIl1SyMIwjNpAq7R/XOlIkP/Rp6Qm554FvAzD8EpX95dpmleAccBXhmFEAxuA/qQm0/qka/sd8DKwxDCMV0ndOvkBsMA0zQPp2uVkLBERERERERERKQBynRwDME1zg2EYNUlNelUkdbvkBtM0r7/BkrT619P+vNyhKP+bDmnfH9qpqwlEm6b5tWEYJYExwKtAOKnbL/dYGpqmedUwjE7Ax8BCUi8Z+AZ4Pv2AORlLREREREREREQKBke2VQKpySLTNP8wTfNr0zTXZpIYwzTN9aZpjk/7XHI8VIfj9DZN08jkE52u3XTTNGubpulimmYj0zRX2RnrmGma3UzTLGmappdpmk9dd35ZjscSERERERG50aKjozEMA8Mw8juUG2rAgAEYhsG4cePyOxRJZ86cORiGQWhoaH6HIpIlh5NjIiIiIiIi8t8cO3bMmrzatWuX3TYXLlygaNGiGIZBSEhIpmN9+OGHGIZB7dq1b1S4kseOHDnCK6+8QvPmzSlfvjzFihWjVKlSNG7cmGeffZbt27fnd4gihYJD2ypFRERERET+K2P8rbmayRxr5tlYVatWxcfHh0OHDrFu3TruvPPODG02btzItWupG3W2bdvG5cuXcXV1zdBu7dq1AIVylU6lSpXw8/OjbNmy+R1KjpimyRtvvMEbb7xBUlISADVr1sTb25vz588THh7Ojh07+Oijj+jbty/z5s3L54hFbm//KTlmGMYdQGvAB3AHimTTxTRN87H/MqeIiIiIiMjtpHXr1hw6dIi1a9fyzDPPZKi3JL0sSbTNmzdnSICZpsmff/5pHa+wmThxIhMnTszvMHJs2LBhTJs2jSJFivD8888zfPhwKlf+//vuLly4wE8//cTrr7/OunXr8jFSkcLBoeSYYRi1gFn8/y2UOeoGmICSYyIiIiIiImlat27N7Nmzrcmt61mSI2PGjGHo0KGsXbs2Q3Js7969xMXFWceTguubb75h2rRpGIbBwoUL6dGjR4Y2JUuW5OGHH+bBBx/kww/t3S0nInkp12eOGYZRAVhHamLMSPskAseAf7L4HEn7FhERERERkTSWRNepU6fYt2+fTd2lS5fYunUrfn5+PPDAAxiGYV1Jlp6lrGbNmlSvXj3TuVauXEm7du0oVaoUbm5utGjRgp9++inL+H788UfuueceypUrR7FixahatSp9+vRhx44dWfZbv349DzzwAJUqVaJYsWJUqFCBbt26sXr1arvt16xZg2EYeHt7AzB9+nQaN26Mm5sbZcqU4f7778/0DK7MDuS/fsyFCxfSsmVL3N3d8fDwoF27dmzYsCHTZ7h8+TLjx4+nTp06uLq6UrlyZQYOHMjRo0cdOmw+JSWFsWPHAjBw4EC7ibH0ihYtynPPPZehPCkpiY8++ojmzZvj6elJ8eLF8fPzY8SIEZw4ccLuWKGhoRiGwZw5c+zWZ/c8+/fvp1evXpQrV44SJUoQGBjIe++9R3JycrZjQ+rqxmnTptGwYUNKlChBmTJl6NatG+Hh4Vm+A5GbwZED+V8CKqX9eTbgb5qmh2maNUzTrJndJ+9CFxERERERufXVqFGDGjVqAGRIfG3evJmkpCTuuusuvLy88Pf3t5alZ+mX1aqxGTNm0KFDB/7++29q166Ns7MzmzdvpmvXrixatMhun6effpquXbvy22+/UbRoURo0aEBiYiJff/01TZs2ZebMmXb7TZ48mZCQEJYsWcLVq1etZ6ktXbqUtm3bZnur5PDhwxkyZAixsbEEBARw7do1fv755xwl8zLz6quv8tBDD3H06FF8fX1JTk5m1apVtGnTxm6C7OLFi9ZYDxw4QI0aNahUqRILFiygUaNGHD58ONcxhIWFERkZCWB3C21OnDt3jtDQUJ599lm2bNlCxYoV8ff3Jzo6milTplC/fn3CwsIcGjszGzZsICgoiEWLFpGYmEhAQACXLl3iueee46GHHsrRGP379+fJJ58kISEBX19fEhMTWbp0KcHBwURFReVpvCK55Uhy7F5St0cuME3zMdM0I/I4JhERERERkULFktS6/nwpyz/fddddAISEhFhXk9lrl1Vy7H//+x+ff/45J0+eJCwsjFOnTtG7d29M02TUqFGkpKTYtJ81axaffPIJRYsWZd68eRw/fpytW7cSGxvL6NGjSU5O5oknnsiwmmvVqlW88MILAEyaNInY2Fi2bdvGiRMnrDdqjh8/nh9//NFunMePH+eTTz5hzpw5HDt2jG3btnHy5En69+/P1atX6d+/P6dOncryfdobc8qUKSxdupSjR4+yY8cOYmJiCA0NJSkpidGjR2fo89prr7Fx40bKlSvHpk2biIiIYPv27fzzzz8EBgY6dMbZ+vXrAShVqpTdyxdy4plnnmHTpk1UqVKFbdu2ERERwY4dOzh27BgdOnQgLi6OBx54gAsXLjg0/vUuXrzIww8/TGJiIvfffz/Hjx8nLCyMgwcPsmLFCpYvX87GjRuzHGPjxo2sWLGCDRs2EBUVxa5duzh06BCBgYGcO3fOuppOJL84khyrkvY9Jw/jEBERERERKbQsW9muT45dvyLMkiRLv8IsMjKSkydP2oxjz8CBAxk8eDCGkXpLqIuLCx9++CHFihXj6NGj7N6929rWNE3efPNNIHUVV9++fa39ihUrxqRJk2jdujXXrl3LkCR68803MU2Tnj17Mnr0aIoUSb23zcnJif/973/069cPgAkTJtiN89q1awwdOpT+/ftby0qUKMGMGTPw9vbm7NmzTJs2LdPnzGzM1157jS5duljLPD09mTJlCpCavDl79qy1LiEhwTrHtGnTaN68ubWuQoUKLFq0iOLFi+cqBkhN0gF4e3tb32duHD58mPnz5wPwxRdfEBQUZK0rV64cCxcuxNPTk3/++SfLLY658c0333D06FEqVqzI119/TenSpa117dq147333uPq1atZjnH16lU++ugjWrZsaS2rUqUKb7zxBgC//vprnsQq4ihHkmPn075P52UgIiIiIiIihZUl+XX8+HEOHjwIpJ4rtXnzZry9valWrRqQunIMbJNjloRa9erVrWdr2TNkyJAMZeXLl6dmzdTTbyzzAkRERHDo0CEgNTlmz6hRowD4/fffSU5OBiAxMdEaT3b9tm/fnukKMHtbDp2dnRk2bBgAy5Yts9svK/ae/84778TV1RXA+rwAf/75J4mJiXh5edGtW7cM/cqWLWu3PDvnz6f+dbpkyZK57gup7zolJYU6derQuXPnDPWenp489ljqHXh5lXD67bffAOjduzdubm4Z6h999FHrO8xM6dKl6dmzZ4byZs2aARAfH8/p00oxSP5xJDlm+d8JOj9MREREREQkD/j4+FC1alXg/xNf27Zt49KlS9bVYgDVqlWjRo0abNq0iWvXrtm0z+6Wytq1a9stL1++PIDNNryIiNTTc0qXLk3lypXt9rvjjjus/SwroqKioqyJssDAQLv9/P39ravJ9u/fn6G+aNGi+Pr62u0bEBBgE19OlS1bFk9PT7t15cqVA2yf33IuWGBgIE5O9v/a3KBBg1zFAODh4ZFhrtywPHe9evUybWP5Xey9W0dY3kVm20CLFy9OnTp1shyjVq1adsst/+6B4+9EJC84khybRuoNlQPyNhQREREREZHCy5LcsiS7LN/pk2OQunrswoUL1rO+cnLeGGB31Q9gTf6YpmktS0hIAFK3EGamYsWKGdpbvl1dXa2JoOs5OztTtmxZm/bpeXl5ZZqQssRjr19WMnt2sP/8lkSNu7t7pv2yqstMlSqppxRFR0fbzJdTufldcvuOMpMX7yK7f/cAh96HSF7JdXLMNM3FwFfAfYZhvJr3IYmIiIiIiBQ+1587dv1h/Bbpzx2Ljo7mn3/+semfFyzJjtjY2EzbWM45S9/e8n358mXrFsLrXbt2jbi4OJv26Z0+fTrD5QAWlngcSUzlhmXbY1YJJkeST61atQJStxHu2rUr1/1z87tc/44sZ5xlloRKTLhNvtAAACAASURBVEy0W36j3oVIQeKcWYVhGHdlVgfMBnyAcYZhdAXmA/uAi9lNaJrmuuzaiIiIiIiIFDaWlV/R0dEcPnyYDRs2UKlSpQxbDNOfO2ZZQVSlSpVMt645ws/PD4CzZ88SExNjd2vlnj17gNQkjGVFVO3atSlSpAjJycns2bPH5gB2i/3791u3XtatWzdD/dWrVzlw4IA1hvT27t1rE9+NYtkmGB4eTkpKit2VbI4kt4KCgvD19eXAgQNMnTqVmTNn5qq/5bnDw8MzbWP5Xa5/t5bVW5md8xYVFWW3vE6dOuzatcvmwob0Ll++bN16KXKrymrl2Brgj0w+K4EWae0aAu8Cv2TR3vJZndcPICIiIiIicjvw9fW1JqE++OADLly4YE2EpVe3bl3KlSvH+vXr+eOPP4Dst1Tmlp+fHz4+PgDWGx2v9/777wPQsWNH6xlibm5u1pVt2fULCgqyOXMqvU8++SRDWXJyMp999hkAnTp1yumjOCQkJAQ3Nzfi4uL48ccfM9SfPn2aH374IdfjOjk5MW7cOABmz57NkiVLsmx/9epV3nvvPes/d+rUCScnJyIjI+0euH/+/Hlrwu3ee++1qbOcObd169YM/RISEvj666/txmB5199++y0XL2ZcDzN//nwuX76c5XOIFHTZbas0bsBHRERERERE7LAkuaZPnw5k3FJpERISwvnz5/n222+BvN1SCalb8F555RUgNcn11VdfWeuuXr3KSy+9xB9//IGzszMvvviiTd+XX34ZwzBYtGgR77zzjnWVWEpKCp988glz584F4NVX7Z/S4+zszLRp02zmvHjxIoMHD+bw4cOUKlWKJ554Ik+f93ru7u7WOYYOHcqWLVusdadOnaJXr152E0U50adPHwYPHoxpmvTq1YsXXniBmJgYmzYXL15k0aJFNGzYkKlTp1rLvb29efTRR61xhYWFWevi4uJ46KGHiI+Pp3r16vTv399mTEuybOnSpSxdutRafubMGfr168eZM2fsxtu7d2+qV69OTEwMffr0IT4+3lq3evVqRo0aRdGiRR16FyIFRabbKoG7b1oUIiIiIiIiQuvWrfn666+tK3GySo4tWbLE2i6vV44BDBw4kLCwMD799FP69u3LmDFjqFKlClFRUZw9e5YiRYrw2Wef0ahRI5t+bdu25e2332bMmDGMHj2ayZMnU7NmTf755x/rWVmvvfYaXbp0sTtvlSpV6NatG3379uXFF1+kUqVK7N+/n4SEBJydnZk9e3aWB9LnlQkTJrBp0yY2btxI8+bNqVu3LiVKlGDPnj24u7vzwgsv8Prrr1tXzeXG559/TqVKlZg4cSKTJk1i0qRJ+Pj4ULZsWRISEjh06BBXrlwBUn+H9KZOnUpkZCSbN2+mSZMm+Pn54ebmxp49e0hKSsLLy4vFixdbzwqzaN++Pffeey+//PIL3bp1o0aNGnh5eREeHk7ZsmV59dVXee211zLEWqJECRYsWECHDh1YunQplStXpl69epw9e5aDBw/So0cP4uLiWLdunUPvQqQgyHTlmGmaa2/E52Y+nIiIiIiIyK0kfZKrTJkyBAYG2m2XfrtlxYoVrWdk5bVPPvmEH374gY4dO3LlyhV27tyJq6srvXv3ZsuWLTz++ON2+40ePZp169bRvXt3ihQpws6dO0lJSaFLly6sXLmS8ePHZznvlClT+OKLLyhXrhzh4eEUKVKEe++9lw0bNtCtW7cb8agZlChRgpUrVzJ27Fhq167NoUOHiImJoVevXoSFhVkTdJndypkVwzAYP348kZGRvPjiizRt2pRz586xY8cOYmJiqFevHsOHD+evv/5i1qxZNn09PDxYs2YNU6ZMoWnTpsTExBAeHk716tUZPnw4f//9N0FBQXbn/e6773jxxRfx9vYmJiaGkydP0q9fP7Zv3061atUyjTc4OJiwsDB69uxpTRC6uLgwadIkFi5caF1F58i7ECkIDF2XWrAEBQWZ6ZfGFjQNRq/K7xBuaTsnt83vEERERERuin379uHv75/fYcgtZM2aNdx9993UqFGD6Ojo/A4nW08//TSffPIJI0aMsJ6jVhglJyfj5eXFuXPn2LVrF/Xr18/vkKQQyeV/azI96iu7M8cyjmQYswzDmGkYRqVc9Cln6Zfb+UREREREREQKkoSEBL777jsAu5cmFCaLFy/m3LlzeHl5ERAQkN/hiDgk18kxYEDap3Qu+nik6yciIiIiIiJS4L3yyiscOnTIpuzIkSN069aN2NhYatSowX333ZdP0d08GzduZPbs2SQmJtqU//jjjzYXFzg7Z3WsuUjBpX9zRUREREREROyYMmUKb775JjVq1KBixYrEx8cTGRmJaZp4enqyYMGCQnFTY0xMDIMGDeKJJ56gTp06lChRgujoaE6dOgWkXhyR2e2jIreCm5Ucc037vnKT5hOR25AxPtMt4pINc6zOlxQRERHJrYkTJ/Lzzz8THh7Orl27APD19aV9+/Y899xzeHt752+AN0nTpk0ZNWoUq1at4tixY8THx1OyZEmCg4N5+OGHGTx4MMWKFcvvMEUcdrOSY8Fp37E3aT4RuQ0dujQqv0MQERERkRskNDSUgnZh3DPPPMMzzzyT32Hku+rVq/Puu+/mdxgiN0y2yTHDMF7LpGqYYRinsunuAtQCugAmsCF34YmIiIiIiIiIiNw4OVk5No7UxFZ6BvBkLuYxgMvAO7noIyJio3vKPfkdwi1rZ34HICIiIiIiUkDl9LZKI93HTPsYOfhcAaKB+UAL0zR35WHsIiIiIiIiIiIi/0m2K8dM07RJoBmGkUJqcizQNM29NyowERERERERERGRG82RA/n/ITU5lpTHsYiIiIiIiIiIiNxUuU6OmabpfQPiEBERERERERERuelyeuaYiIiIiIiIiIjIbUfJMRERERERERERKbQcOXPMyjCMu4FuwJ1AWaA4qbdUZsY0TbPWf5lTREREREREREQkrziUHDMMozzwDdDaUpRJU/O6OtOR+URERERERERERG6EXCfHDMMoCiwDGpCa+NoJHAfuJTX59RVQBmgEVEor2wHsyZuQJT89tvTv/A7h1ja5bX5HICIiIiKSrwwjdf3E4cOH8fb2zt9gRERw7MyxAUDDtD8PNE2zEfCCpdI0zf6mad5vmmYVoAdwAggAfjZNc+B/jFdEREREROS2ExoaimEYGIZBkyZNsmx78eJFPD09re2HDx9+k6IUEbk9ObKt8oG0799M05ybVUPTNH8wDONvIAyYYxjGbtM0Dzgwp4iIiIiI3GYOlgvJ7xAcUuvfP2/o+GFhYezbtw9/f3+79d9//z3nz5+/oTGIiBQmjqwcu5P/3z6ZgWFZI5vGNM2DwIeAG/CsA/OJiIiIiIgUCnXr1gVg7tzM1yHMmTPHpq2IiPw3jiTHyqR9H05XlpTuzyXs9FmV9t3egflEREREREQKhV69euHi4sL8+fNJSUnJUH/s2DFWr16Nn58fzZo1y4cIRURuP45sq0xK65c+IZZ+TW8VIPK6PpfT1YmIiIhIDhjjM7sQXHLCHKuL0uXWU7p0abp06cKiRYtYtWoV7dvbri/48ssvSUlJoX///kRERGQ6zoULF5g6dSpLliwhMjKSpKQkatSoQbdu3Rg9ejRlypTJ0Oevv/5iyZIlrFy5kn/++Yd///0XT09PGjVqxBNPPEH37t3tznX8/9i78yjLqvJu/N+nu0UZGmygW96IyKBIAA0i5ueAoCAx8IoaATWKImHQvC+gYhxCSIRWXhEBjaJBMSo4RMWoRIWgSBQBQVEIyiSCTCIi2B2GBoFm//64t6Aoumu4XVW3q+/ns9Zdp+45e5/9VK+zblV/a599fvObfOADH8iZZ56ZG264IUkyf/78bLbZZtlll13ytre9Lauvvvq4/w3OP//8fOQjH8m5556b3//+95k7d27+/M//PIccckj+8i//8lHtly5dmpNOOimf//zn84tf/CJ333135s2blw022CAveMEL8qY3vSnPeMYzxj0+MHh6mTl2Q3f7hKEdrbXfJbmz+3ZZf77YeqhpD+MBAAAMjH322SfJsm+tPPnkkzNr1qy8/vWvX27/X/3qV9lmm21y2GGH5ZJLLsn8+fOz6aab5tprr80HPvCBPOtZz8p11133qH4HHHBA3ve+9+XKK6/MOuusk2c84xmZPXt2vvOd7+SVr3xl3vGOdzyqzw033JBtt902H/3oRx96+uRWW22VBx54IOecc07+4R/+Ibfffvu4v/f3vOc9ef7zn58vf/nLWbJkSbbaaqvMmjUrZ5xxRnbdddcceeSRj+qz995752//9m9z3nnnZe7cuXnmM5+ZddZZJ1dffXU+/vGP5z/+4z/GPT4wmHoJx37W3T5zxP5zklSSt1TVY4d2VtXjk7wrnWDs8l6KBAAAGBQveclL8oQnPCFf//rXc+eddz60/4ILLshVV12VnXbaKRtuuOEy+95777152ctelmuuuSavfe1rc9NNN+VXv/pVLrvsstx888152cteluuuuy577733o/oeeuihueyyy7Jo0aJcfvnlueiii3LLLbfke9/7XhYsWJBjjz02559//iP6HHfccbn11lvz4he/ODfffHOuuOKKXHTRRbn55ptzyy235KMf/WjWXHPNcX3fJ598chYuXJj58+fn3//93/OHP/whP/vZz3Lrrbfmq1/9aubOnZsjjjgi3/3udx/qc/HFF+dLX/pS1l577fzgBz/IjTfemB//+Me5+uqrc+edd+bb3/52nvOc54xrfGBw9RKOfS+dEOx/j9h/Ynf7zCSXVtUHq+rjSX6eZPPusVN6qhIAAGBAzJkzJ6973euyZMmSfPWrX31o/9BMsqGZZcvymc98JldccUVe8IIX5HOf+1ye8ISHbvjJ+uuvny9+8YvZcMMNc9555z0q6Hrta1+bLbfc8lHn3GmnnXLUUUcl6dzWOdzQrZ0HHXRQ1l9//Uccmz9/fg466KDMmzdvzO/5/vvvz+GHH54k+cIXvpBXvvKVjzi+xx575H3ve1+S5IMf/OCjxt9pp52yww47PKLPnDlzsttuu+XFL37xmOMDg62XNce+keSIJBtW1Wbdp1Gmtfbtqvp0kr9J8tQkh3bbDy2W8Z0k/7Ji5QIADI5r73l7v0sA+mSfffbJ8ccfn5NPPjn77rtv/vjHP+ZLX/pS5s6d+6jgaLihMG2//fbLrFmPngux5pprZpdddslnPvOZfP/738/znve8Rxz/9a9/nX/7t3/LJZdckttuuy333ddZavp//ud/knRmag230UYbJUm+9rWvZbfddstjHvOYnr7fCy64IDfddFM23njjR62zNuQVr3hF3vKWt+Tcc8/N0qVLM3v27IfGv/DCC3Pddddl44037ml8YLBNOBxrrS1OsvFyju1fVT9Ksn+SrbrnvzqdGWP/3Fp79ONWAABYpr96cNd+lzCjXdLvAmAFPOMZz8g222yTc845J9dff30uvPDCLF68OPvuu2/WWGON5fa79NJLkyTHH398TjrppGW2uf7665N0nnw53Ic//OG8853vzP3337/c849cP+yQQw7JKaecklNOOSWnn356XvKSl+T5z39+dtxxx2XOQhur7sWLF2f77bdfZpvWOktY33PPPbn99tuzYMGCPOc5z8n222+fc889N0996lOzww47ZMcdd8z222+f5z3veXnc4x437hqAwdXLzLFRtdb+Ncm/TvZ5AQAABskb3/jGvPWtb80pp5ySCy644KF9o1m8eHGSh8Om0SxZsuShr88///y87W1vS5K89a1vzetf//psttlmmTt3bmbNmpWzzz47O++886OCs6233jrnn39+jjzyyJx55pn5whe+kC984QtJki222CJHHXXUqDPdRta9ePHinHfeeeOufdasWTn99NNz1FFH5ZRTTsnZZ5+ds88+O0kyd+7cHHjggVm4cOGogSJAL2uOAQAAMMVe+9rX5jGPeUw+8YlP5Mwzz8wmm2ySF7zgBaP2WWuttZJ0wq7W2qivz372sw/1O+WUzvLQr3rVq/KhD30o2267bdZZZ52Hbs0c7YmT2267bU477bQsXrw43//+9/Pe974322yzTa688srsueeeOeuss8b8Xofq/ou/+Isx626tPeL2yblz5+boo49+6IEAJ510Uvbcc8/ce++9Oe644/KmN71pzPGBwSYcAwAAWAnNnz8/u+66a37zm99k6dKlecMb3pCqGrXP1ltvnST5xS9+MaGxfv3rXyfJcm9pHJq5NprHPe5x2XHHHXP44Yfn4osvzqte9aq01nLiiSeO2Xeo7ssuu+yh2yd7scUWW2T//ffPqaeemm984xtJOgv8D3/qJ8BIKxSOVdVTquq9VXVWVf2iqq6pqqeMaLN1Ve1WVTuuWKkAAACD5aCDDsrOO++cnXfeOW94wxvGbL/XXnslSU444YSHFtMfj6HbDm+55ZZHHbv99tsfelLmRDz3uc9Nktx8881jtt1+++2zwQYb5De/+U2+/OUvT3isZRl62EBrLb/97W8n5ZzAqqmnNceq8+eKo9N5IuWsPPxEypZktRHNN07yH0keqKpNWmu/6a1UAOiPOnL0v9Izuvae3mcAAAy6XXbZZblPb1yWAw44ICeeeGIuvfTS7L777jnhhBPy1Kc+9aHjS5cuzY9+9KN89rOfzZFHHpknPvGJSZIddtgh3/jGN/Lxj388e+yxR7bddtskyQ033JDXvOY1ufvuu5c53pve9KbssMMOednLXpa5c+c+tP/aa6996IEAz3rWs8as+7GPfWyOPvrovPGNb8z++++fu+66K/vss88jnn75u9/9Ll//+tezePHivPvd706SfP7zn8/VV1+dvffe+xHf5z333JOFCxcmSdZbbz1PsQRG1euC/B9PcmA6odjNSX6UZI9lNWytfauqrk+yUbfNR3ocEwAAgFGsvvrqOf300/PSl7403/nOd7L55ptn0003zYIFC3L33XfnV7/6Ve65554kyeGHH/5QvwMOOCCf+MQnctVVV+XZz352Nt9886y22mq57LLLsuaaa+aYY47JIYcc8qjxLrzwwnzyk5/MrFmzstlmm2XdddfNokWLcvXVV6e1ls033zz/9E//NK7a99lnn9xyyy057LDDcsABB+Stb31rnva0p2X27Nm55ZZbcuONNz7Ubshtt92WhQsXZuHChVmwYEE22mij3H///bn22mtz5513Zs6cOTnxxBOz2moj53AAPGzCt1VW1Q5JhlY0PCbJxq21vcbo9tV0grSdJjoeAAAA47fxxhvnoosuysc+9rG88IUvzOLFi/OTn/wk119/fbbYYou8/e1vz7nnnpsnP/nJD/VZa6218sMf/jAHHnhgFixYkGuuuSa33357Xve61+VnP/tZnv70py9zrA9/+MM59NBD86xnPSt33nlnfvrTn+a3v/1ttt1227zvfe/LRRddlPnz54+79ne96125+OKLs//++2eDDTbI5Zdfnv/+7/9Okuy+++751Kc+lWOPPfah9nvssUeOPfbY7LrrrllzzTVz+eWX54orrsj666+fffbZJz/96U+z55579vgvCQyKmuhih1X1xSSvSfKfrbXdhu1/MJ3bKp/eWrt8RJ89kpya5JrW2lPDcm233Xbtoosu6ncZy/XRp3243yXMaAdf9dZ+lzCjbfPO7/W7hBnrkmN27ncJM9qv3/13/S5hRtvk6GPHbsQy+dxbMT77+uuKK67In/7pn/a7DABWYRP8WbPctVJ6ua3y+emEYJ+aQJ+butsNehgPAPrqrx7ctd8lzGiX9LsAAAAYRS9Pq1zQ3V47gT5/7G7d6A0AAADASqOXcOze7nb9CfT5X93toh7GAwAAAIAp0Us4dl13u/kE+vxFd3tFD+MBAAAAwJToJRw7K51FzP52PI2rapMk+6WzTtl3ehgPAAAAAKZEL+HYCUnuS7JlVb1/tIZVtU2SM5OsleTuJJ/oYTwAAAAAmBITflpla+36qnpXkg8leWdV7Zrka8OavK6qlibZPskO6QRwLclBrbU/TELNAAAAADApJhyOJUlr7Z+ranaS9yd5RpKnpxOAJcm7hzWtJA8keVtr7ZQVKRQAAAAAJlsvt1UmSVprxyf5sySfTnJbOkHY8NcdSb6QZJvW2sdWvFQAAAAAmFw9zRwb0lq7Msn+SVJVGyVZkGR2OmHZr1trD65whQAAwIzUWktV9bsMAFZBrbWxG43TCoVjw7XWbkhyw2SdDwAAmLnmzJmT++67L4997GP7XQoAq6D77rsvc+ZMTqzV822VAAAAy7POOuvk9ttvn9S/7ANA0pk1dvvtt2edddaZlPP1FLFV1ROSvCDJ5knWTTI3nTXG/pDkqiQ/bK39flIqZKVywv2X9ruEGe3gfhcAADBN1l133dx444256aab8vjHPz5rrLFGZs2a5TZLAHrSWsuDDz6YJUuWZPHixXnggQeyYMGCSTn3hMKxqvrfSQ5L8pxxtD0vyftba2f0WBsAADBDzZkzJ09+8pOzaNGiLFq0KDfffHMefNCSxAD0btasWVl99dWz5pprZt68eZk1a3JuiBxXOFZVj0nyqSR7D+0aR7fnJ/lWVX0uyQGttft7KxEAAJiJZs2alfXWWy/rrbdev0sBgOUa78yxLyd5eR4Oxa5O8t0kP0tye5K70rm1cv0k2yZ5cZKndNu+PslaSfacnJIBAAAAYHKMGY5V1d8keUWSluQ3Sd7cWvv2OPrtnuTjSZ6Y5K+q6o2ttc+uWLkAAAAAMHnGc3PmYd3t9Um2HU8wliSttW8meVa3XyU5vKcKAQAAAGCKjBqOVdXOSTZNZ9bYGyb6BMrW2q1J9um+3aSqduqpSgAAAACYAmPNHHtRd/vj1tq5vQzQWjsnyY+7b4VjAAAAAKw0xgrHnpXOrLH/XMFxzkjn1srtVvA8AAAAADBpxgrHhp44+dMVHOdnI84HAAAAAH03Vji2Tnd7+wqOc9uI8wEAAABA3403HLtjBce5s7udu4LnAQAAAIBJM1Y49pjutq3gOEP9HzNqKwAAAACYRmOFYwAAAACwypozznbPrqr1V2CcTVagLwAAAABMifGGY5+e0ioAAAAAoA/GE47VlFcBAAAAAH0wVjh25LRUAQAAAAB9MGo41loTjgEAAACwyvK0SgAAAAAGlnAMAAAAgIE1EOFYVT2lqj5RVZdW1dKq+v4y2lxXVW3E65ZltNuyqr5XVUuq6uaqWlhVs0e0qao6rKpurKp7quqcqtpmCr9FAAAAAHownqdVrgq2SrJbkguSPGaUdl9M8tFh7+8bfrCq5iU5K8nlSV6eZLMkx6UTMh4+rOm7k/xjknckuTLJoUnOqqqtW2uPCtwAAAAA6I9BCce+2Vo7LUmq6qtJ1l9Ou9+21i4Y5TxvTrJ6kle21u5I8t2qWjvJEVV1TGvtjqp6XDrh2Ptbayd0x/xRkuuSHJRHhmgAAAAA9NFA3FbZWntwkk61a5Izu8HYkC+lE5jt2H3/vCRrJ/nKsPHvTvLNbn8AAAAAVhIDEY5NwH5VdV9V/U9VfbWqnjzi+Bbp3Cb5kNbaDUmWdI8NtVma5OoRfa8Y1gYAAACAlcCg3FY5HqelsybZTUn+NMl7kvywqp7eWvufbpt5SRYvo++i7rGhNne11pYuo80aVbVaa+2+AAAAANB3wrGu1tpbhr39YVWdn+SSJPsm+fBUjl1VByY5MEk22mijqRwKAAAAgGGWe1tlVb2h+1p7OgtaWbTWfpHkqiTbDtu9KMk6y2g+r3tsqM1aVTV7GW2WLGvWWGvtk6217Vpr282fP3/FiwcAAABgXEZbc+yzST6TZMPhO6vq7Kr63jLW41oVte5ryJUZsW5YVT0pyRp5eC2yK5PMTvKUEed61HplAAAAAPRXLwvyv7D7WnNSK1nJVNXW6QRaPx22+4wkL6mqucP2vTrJPUl+0H1/fpI7kuw17FxrJNm92x8AAACAlcRoa479MclqSeaO0mZG6IZTu3XfPjHJ2lW1Z/f96UlelGTvJN9KcnM6odjhSW5IZwbdkBOTHJLka1X1gSSbJjkiyfGttTuSpLV2b1UdneQfq2pROrPFDk0niPzoFH2LAAAAAPRgtHDspnTCnx2SXDg95UyZBUlOHbFv6P0mSW7stvlwkscnuT3JfyY5bCj0SpLW2qKq2jnJCUm+mc6TKz+UTkA23NHphGF/n2S9JBcl2aW19rvJ+5YAAAAAWFGjhWNnJXlTkqOq6tnpLE5//7Dj/6eqbp3ogK21hRPts6Jaa9clqTGa7TzOc12eZKcx2rQkR3VfAAAAAKykRgvH/l+SPdOZ+bTHiGOV5G97HHPawzEAgJlov9N+3u8SZrZjxvW3TwBgwC13Qf7W2o1Jtk3yqSTXpTNrrPLw0xurxxcAAAAArBRGmzk2FJAdOHxfVT2YTkD29O4thgAAAAAwIy135hgAAAAArOpGnTm2HPt2tzdNZiEAAAAAMN0mHI611k6eikIAAAAAYLr1MnPsEarqsUn+vyRPT7Jud/cfkvw8yYWttT+u6BgAAAAAMBV6Dseqas0kRybZL8nay2l2R1V9KskRrbW7ex0LAAAAAKZCTwvyV9WTklyS5G1J1klSy3mtk+TQJBdX1YaTUTAAAAAATJYJzxyrqjlJzkiyWXfXVUk+k+SCJLd0922Qzq2W+ybZIslTkpxeVc9srS1d0aIBAAAAYDL0MnNsvyRbJmlJjkmydWvtmNbaOa21X3Zf57TWPpjOOmQf6PbbqtsXAAAAAFYKvYRje3W332qtvXu0mWCttaWttb9P8q10brPca3ltAQAAAGC69RKOPT2dWWOfmkCfk7rbZ/QwHgAAAABMiV7Cscd3tzdNoM9Q23V6GA8AAAAApkQv4dii7vZJE+gz9KTKxT2MBwAAAABTopdwQE6gugAAIABJREFU7Ofd7QET6LN/d3tpD+MBAAAAwJSY00OfU5PsnGS3qvpgkuUuyl9Vs5K8N8nu6axTdmqvhQIAANOnjqx+lzCjtfe0fpcAwDj1Eo59OsnBSbZKcmiSl1fVyUkuSHJrOiHYE5L8f0len2Tzbr9fdPsCAAAAwEphwuFYa+2BqtotyfeSPCXJZkkWjtKlklydZLflzTADAAAAgH7oZeZYWms3VtU2Sd6Tznpi85bTdFGSk5K8t7V2d28lAnTsd9rPx27Esh2zc78rAAAAWCn1FI4lSWttSZJ3VdXhSbZLsnWSdbuH/5DObZQXtdbuX+EqAQCAaXXtPW/vdwkAMC16DseGdMOvH3VfAADAKuCvHty13yXMaJf0uwAAxm1WvwsAAAAAgH4RjgEAAAAwsIRjAAAAAAysFV5zDABWdZ6UuoI8LRUAgJWYmWMAAAAADCzhGAAAAAADSzgGAAAAwMASjgEAAAAwsCa8IH9Vrd398r7W2r2TXA8AAAAATJteZo4tTrIoyZsnuRYAAAAAmFa9hGNDs8V+NJmFAAAAAMB06yUc+2132yazEAAAAACYbr2EY9/vbp89iXUAAAAAwLTrJRw7IckDSf6uqtaZ5HoAAAAAYNpMOBxrrV2c5KAkGyb5YVVtP+lVAQAAAMA0mDPRDlX16e6XVyXZOskPqurGJJem8xTLpaN0b621/SZcJQAAAABMgQmHY0nemIcX429JKslGSZ40Rr/qtheOAQAAALBS6CUcuyGeVAkAAADAKmDC4VhrbeMpqAMAAAAApl0vT6sEAAAAgFVCL7dVAgAAwJSoI6vfJcxo7T1WQYKJmpRwrKpmJVk3yRpJftNaG+2JlQAAAACwUuj5tsqqml1V+1bVD5MsSfK7JNcmedqIdi+tqmOq6h9WrFQAAAAAmFw9zRyrqvWTfD3J85KMNef1hiR/l6RV1bdba5f0MiYAAACrvj+7+6x+lwAMmAnPHOveQnlakucnaUlOTXLw8tq31i5N8pPu21f0UCMAAAAATIlebqvcO8lzkzyQ5GWttVe31j42Rp//SGeG2fY9jAcAAAAAU6KXcOyv05kxdlJr7fRx9vlZd/u0UVsBAAAAwDTqJRx7Znf7jQn0ubW7Xa+H8QAAAABgSvQSjs3rbn8/gT5jLdoPAAAAANOul3BscXe74QT6bNrdTiRQAwAAAIAp1Us4dmV3+8xRWz3SHt3tz0ZtBQAAAADTqJdw7Fvp3CZ5cFWtOVbjqvqLdMKxluS0HsYDAAAAgCnRSzj2L+ncHrlektOqaoNlNaqqx1XVW5J8PZ0w7bokn++xTgAAAACYdHMm2qG1dldV7ZXkO0lelOS6qjp/WJMPV9XjkmybZPV0grF7kuzVWntgEmoGAAAAmHR1pOcJ9qq9p/W7hJ71MnMsrbVzkrwwyfVJVut+PfSvsHOS5ydZI51g7PokO7bWrDcGAAAAwEplwjPHhrTWLqiqzZO8OsnLk2yXZEGS2UluS3JxOmuMndJau38SagUAAACASdVzOJYk3dskv9B9AUypE+6/tN8lzFgH97sAAACYAa695+39LoE+WKFwDAAAAGBV8VcP7trvEmasS/pdwAroac0xAAAAAFgVrNDMsaqal+QNSXZJ8owk63UP3Z7k50m+m+Tk1tqiFRkHAACYXvud9vN+lzCzHbNzvysAYJx6Dseq6sAkxySZO7Rr2OENkzwxyV8mObKq3tVaO7HnKgEAAABgCvQUjlXVwiT/kIcDsbuTXJrkd933T0hnJtma6YRnH6uqJ7XW/mHFygUAAACAyTPhcKyqXpTk8O7bW5K8K8lXWmt/HNFutSSvTvL+JH+S5N1VdVZr7b9WrGQAAAAAmBy9LMj/lu721iTPaa19bmQwliSttftaa59L8txu2+F9AQAAAKDvegnHnpOkJTm6tXbDWI1bazcm+UA6t2A+t4fxAAAAAGBK9BKOrd3dnjeBPkNt547aCgAAAACmUS/h2G+724msVzZ7RF8AAAAA6LtewrHvdrcvmkCfobZn9TAeAAAAAEyJXsKx45IsSfLOqvrTsRp327wzyV3dvgAAAACwUphwONZauzrJXkkeTHJ+VR1aVeuObFdV61bV29JZb+zBJK9qrf1yRQsGAAAAgMmy3HXDqursMfr+PslTk3wwyTFV9eskt6bzJMsnJNkknSdUJsnV6cw0e0drbecVrhoAAAAAJsFoi+q/MJ2gq5ZxrA37urqvzbqvZXlqks1H9AMAAACAvhotHDsnwiwAAAAAVmHLDcdaay+cxjoAAAAAYNr18rRKAAAAAFglCMcAAAAAGFjCMQAAAAAG1mgL8o+pqmYl2TLJpknmJpk9Vp/W2ikrMiYAAAAATJaewrGqWiPJ4Un2T7LeBLq2JMIxAAAAlmm/037e7xJmtmN27ncFMONMOByrqrWS/FeSbZPUpFcEAAAAANOkl5ljhyd5VvfrC5J8Msl/J1mc5MFJqgsAAAAAplwv4die6dweeXqSl7fWBGIAAAAAzEi9PK3yid3tRwRjAAAAAMxkvYRjt3a3t01mIVOpqp5SVZ+oqkuramlVfX8ZbaqqDquqG6vqnqo6p6q2WUa7Lavqe1W1pKpurqqFVTW7l3MBAAAA0F+9hGM/7m6fNpmFTLGtkuyW5Kokv1xOm3cn+cckH0iye5K7kpxVVRsMNaiqeUnOSue20pcnWZjk7UmOnOi5AAAAAOi/XsKxD3W3B1XVTHla5Tdba09qre2V5LKRB6vqcekEWu9vrZ3QWjsryV7phGAHDWv65iSrJ3lla+27rbUT0wnGDq2qtSd4LgAAAAD6bMLhWGvt/CTvSvK8JF+qqsdPelWTbBxroz0vydpJvjKsz91Jvplk12Htdk1yZmvtjmH7vpROYLbjBM8FAAAAQJ/18rTKtNaOraprkpyU5Maq+m46tysuGUffhb2MOcW2SLI0ydUj9l+R5NUj2p09vEFr7YaqWtI99s0JnAsAAACAPuspHKuqBUn+Ksk66cw+e/kEuq+M4di8JHe11paO2L8oyRpVtVpr7b5uu8XL6L+oe2wi5wIAAACgzyYcjlXVeknOSfLUJDNlzbGVWlUdmOTAJNloo436XA0AAADA4Ohl5thhSTbvfv3VJB9P8t9JFrfW2mQVNs0WJVmrqmaPmPE1L8mSYTO9FqUzW26ked1jEznXQ1prn0zyySTZbrvtZuq/IQAAAMxo+532836XMHMds3O/K+hZL+HYy9J58uLnW2v7THI9/XJlktlJnpLkqmH7t+geG95ui+Edq+pJSdYY1m685wJghjjh/kv7XcKMdnC/CwAAgFFM+GmVSZ7Y3X56Mgvps/OT3JFkr6EdVbVGkt2TnDGs3RlJXlJVc4fte3WSe5L8YILnAgAAAKDPepk5dls6Admdk1zLlOmGU7t13z4xydpVtWf3/emttSVVdXSSf6yqRenM8Do0nfDwo8NOdWKSQ5J8rao+kGTTJEckOb61dkeStNbuHee5AAAAAOizXsKxHyZ5TZKtk/xscsuZMguSnDpi39D7TZJcl+TodAKsv0+yXpKLkuzSWvvdUIfW2qKq2jnJCUm+mc6TKz+UTkA23JjnAgAYi1t6V4xbegGA8eglHDsuyR5J/q6qvtJau3eSa5p0rbXrMsaTNbsPEziq+xqt3eVJdpqMcwEAAADQXxNec6y19rMk+6fzxMrvVNXmY3QBAAAAgJXShGeOVdXQQvyXJ9k+yeVVdWmSXyZZMkb31lrbb6JjAgAAAMBU6OW2yjcmad2vWzqzz/6s+xpNddsLxwAAAABYKfQSjt2Qh8MxAAAAAJixJhyOtdY2noI6AAAAAGDaTXhBfgAAAABYVQjHAAAAABhYwjEAAAAABtaE1xyrqo1WZMDW2g0r0h8AAAAAJksvT6v89QqM13ocEwAAAAAmXS9BVU16FQAAAADQB72EY/uOo82aSbZIskeS/5Xk3CT/2sNYAAAAADBlJhyOtdZOHm/bqvq7JB9L8jdJzmmtHT7R8QAAAABgqkzp0ypba/e11g5Icn6Sv6+qnadyPAAAAACYiCkNx4b5eDprlR08TeMBAAAAwJimKxy7qrv982kaDwAAAADGNF3h2Brd7brTNB4AAAAAjGm6wrE9u9vfTdN4AAAAADCmCT+tciKqaq0kb01nrbGW5KypHA8AAAAAJmLC4VhVnT2OZrOSzEuyeZLV0lmM/84k/2+i4wEAAADAVOll5tgL05kFVhPo8+skr2utXdPDeAAAAAAwJXoJx85JJxwbzYPpzBS7NskPkny7tfZAD2MBAAAAwJSZcDjWWnvhFNQBAAAAANNuup5WCQAAAAArHeEYAAAAAANLOAYAAADAwBp1zbGq2nyyB2yt/XKyzwkAAAAAvRhrQf4rM/aTKSeijWNMAAAAAJgW4wmqasqrAAAAAIA+GCscO3IFz79GkjcmWT9CNgAAAABWMqOGY621nsKxqnpMkr9N8qY8Mhj7SS/nAwAAAICpMKlPq6yq2VV1QJJfJflQkg3SCcYuTfKK1tpzJnM8AAAAAFgRk7I4flVVkr2T/FOSTfPwTLErkxzRWvvKZIwDAAAAAJNphcOxqtoznbXJtsjDodi1SRYm+Xxr7cEVHQMAAAAApkLP4VhVvTSdAOzPhnYluSnJ+5J8urX2wIqXBwAAAABTZ8LhWFW9OMl7k/z50K4kv0vy/iQnttbum7zyAAAAAGDqjDscq6rt0wnFdhjaleQPST6Y5COttXsmvzwAAAAAmDpjhmNVtV06t0ruMrQryR3pPI3y+NbanVNXHgAAAABMnVHDsar6RpLdh94mWZLkI0k+2FpbNMW1AQAAAMCUGmvm2MuGff37JCeks77YXlW17B5jaK19sqeOAAAAADDJxrPmWOtu109yxAqO15IIxwAAAABYKYwnHOttihgAAAAArOTGCsdeNC1VAAAAAEAfjBqOtdZ+MF2FAAAAAMB0m9XvAgAAAACgX8az5hgAADBgTrj/0n6XMKMd3O8CABg3M8cAAAAAGFjCMQAAAAAGlnAMAAAAgIElHAMAAABgYAnHAAAAABhYwjEAAAAABpZwDAAAAICBJRwDAAAAYGAJxwAAAAAYWMIxAAAAAAbWnH4XAAAAAENOuP/Sfpcwox3c7wJgBjJzDAAAAICBJRwDAAAAYGAJxwAAAAAYWMIxAAAAAAaWcAwAAACAgSUcAwAAAGBgzel3AQAAAAArgxPuv7TfJcxYB/e7gBVg5hgAAAAAA0s4BgAAAMDAEo4BAAAAMLCEYwAAAAAMLOEYAAAAAANLOAYAAADAwBKOAQAAADCwhGMAAAAADCzhGAAAAAADSzgGAAAAwMASjgEAAAAwsIRjAAAAAAws4RgAAAAAA0s4BgAAAMDAEo4BAAAAMLCEYwAAAAAMLOEYAAAAAANLOAYAAADAwBKOAQAAADCwhGMAAAAADCzhWFdVvbGq2jJebx7WpqrqsKq6saruqapzqmqbZZxry6r6XlUtqaqbq2phVc2e3u8IAAAAgLHM6XcBK6Gdktwz7P21w75+d5J/TPKOJFcmOTTJWVW1dWvtliSpqnlJzkpyeZKXJ9ksyXHpBJGHT3n1AAAAAIybcOzRftJau2vkzqp6XDrh2Ptbayd09/0oyXVJDsrDwdebk6ye5JWttTuSfLeq1k5yRFUd090HAAAAwErAbZXj97wkayf5ytCO1trdSb6ZZNdh7XZNcuaIEOxL6QRmO05DnQAAAACMk3Ds0a6pqgeq6qqqetOw/VskWZrk6hHtr+geG97uyuENWms3JFkyoh0AAAAAfea2yof9Np31xH6cZHaS1yQ5sarWaK19KMm8JHe11paO6LcoyRpVtVpr7b5uu8XLOP+i7jEAAAAAVhLCsa7W2plJzhy264zuOmOHV9U/T+XYVXVgkgOTZKONNprKoQAAAAAYxm2Vo/tqknWTbJzOzK+1qmr2iDbzkizpzhpLt906yzjXvO6xR2mtfbK1tl1rbbv58+dPSuEAAAAAjE04Nro2bHtlOrdbPmVEm5FrjF2ZEWuLVdWTkqwxoh0AAAAAfSYcG92eSW5Lcn2S85PckWSvoYNVtUaS3ZOcMazPGUleUlVzh+17dZJ7kvxgqgsGAAAAYPysOdZVVf+ezmL8l6YzQ+zV3dchrbUHk9xbVUcn+ceqWpTOLLBD0wkYPzrsVCcmOSTJ16rqA0k2TXJEkuNba3dM07cDAAAAwDgIxx52VZK/SfKkJJXk8iRvaK19blibo9MJw/4+yXpJLkqyS2vtd0MNWmuLqmrnJCck+WY6T678UDoBGQAAAAArEeFYV2vtsCSHjdGmJTmq+xqt3eVJdpq86gAAAACYCtYcAwAAAGBgCccAAAAAGFjCMQAAAAAGlnAMAAAAgIElHAMAAABgYAnHAAAAABhYwjEAAAAABpZwDAAAAICBJRwDAAAAYGAJxwAAAAAYWMIxAAAAAAaWcAwAAACAgSUcAwAAAGBgCccAAAAAGFjCMQAAAAAGlnAMAAAAgIElHAMAAABgYAnHAAAAABhYwjEAAAAABpZwDAAAAICBJRwDAAAAYGAJxwAAAAAYWMIxAAAAAAaWcAwAAACAgSUcAwAAAGBgCccAAAAAGFjCMQAAAAAGlnAMAAAAgIElHAMAAABgYAnHAAAAABhYwjEAAAAABpZwDAAAAICBJRwDAAAAYGAJxwAAAAAYWMIxAAAAAAaWcAwAAACAgSUcAwAAAGBgCccAAAAAGFjCMQAAAAAGlnAMAAAAgIElHAMAAABgYAnHAAAAABhYwjEAAAAABpZwDAAAAICBJRwDAAAAYGAJxwAAAAAYWMIxAAAAAAaWcAwAAACAgSUcAwAAAGBgCccAAAAAGFjCMQAAAAAGlnAMAAAAgIElHAMAAABgYAnHAAAAABhYwjEAAAAABpZwDAAAAICBJRwDAAAAYGAJxwAAAAAYWMIxAAAAAAaWcAwAAACAgSUcAwAAAGBgCccAAAAAGFjCMQAAAAAGlnAMAAAAgIElHAMAAABgYAnHAAAAABhYwjEAAAAABpZwDAAAAICBJRwDAAAAYGAJxwAAAAAYWMIxAAAAAAaWcAwAAACAgSUcAwAAAGBgCccAAAAAGFjCMQAAAAAGlnAMAAAAgIElHAMAAABgYAnHAAAAABhYwjEAAAAABpZwDAAAAICBJRwDAAAAYGAJxwAAAAAYWMIxAAAAAAaWcAwAAACAgSUcAwAAAGBgCcemSFVtWVXfq6olVXVzVS2sqtn9rgsAAACAh83pdwGroqqal+SsJJcneXmSzZIcl04YeXgfSwMAAABgGOHY1HhzktWTvLK1dkeS71bV2kmOqKpjuvsAAAAA6DO3VU6NXZOcOSIE+1I6gdmO/SkJAAAAgJGEY1NjiyRXDt/RWrshyZLuMQAAAABWAsKxqTEvyeJl7F/UPQYAAADASqBaa/2uYZVTVfcneUdr7cMj9t+U5JTW2mEj9h+Y5MDu26cluWpaCl01rZ/ktn4XwUBy7dFPrj/6xbVHP7n+6BfXHv3k+uvdba21v1zWAQvyT41FSdZZxv553WOP0Fr7ZJJPTnVRg6CqLmqtbdfvOhg8rj36yfVHv7j26CfXH/3i2qOfXH9Tw22VU+PKjFhbrKqelGSNjFiLDAAAAID+EY5NjTOSvKSq5g7b9+ok9yT5QX9KAgAAAGAk4djUODHJH5N8rape3F1T7Igkx7fW7uhrZas+t6fSL649+sn1R7+49ugn1x/94tqjn1x/U8CC/FOkqrZMckKS56bz5MpPJTmitba0r4UBAAAA8BDhGAAAAAADy22VAAAAAAws4RgAAAAAA0s4BgAAAMDAmtPvAmAyVNWcJGmtPdDvWgCmQ1Wtl2Re9+2i1trt/awHYKr53ANgqpg5xoxUVQuqamFV/aSq7kzyxyR/rKo7u/uOrKr5/a6TwVBVc6vqkKr6bFV9pqr+b1Wt1e+6WPVU1ZZVdUpV/T7JrUmu6r5urarfV9XJ3aclw6SpqtWWsW+jqjq+qr5fVf9VVR+sqg37UR+rNp979IvPPvqlqq6oquOqart+1zJIPK2SGaeq/izJWUlakm8muSLJou7heUm2SLJ7kkry4tbapf2ok1VTVd2cZLfW2iXd9xslOSfJE9P5Zb2lcw1el+QFrbVb+lQqq5iq2inJt5L8KsmpWfZn315JnpLkf7fWvt+HMlkFVdXSJM9trf24+/7p6XzuJcl56XzubZ/kgSTPb639si+FssrxuUc/+eyjX6rqwXSuq9lJrk3yb0m+3Fq7rK+FreKEY8w4VfWDJHcl2au1tmQ5bdZI55eoNVtrL5zG8ljFdX9YPWfYL0qnJnlukpcM/cCqqq2T/GeSM1tr+/WtWFYpVXVRksuSvLEt54d3VVWSzyTZurXmr41MimV87v1nkicl2am19rvuvg2S/FeSn7fWXtW3Ylml+Nyjn3z20S/da+9FSRYk+eskf5nksel8Hn4xnaDs1/2rcNXktkpmomcnOW55wViSdI8d120LU2mXJEcM/0tOa+0XSY5KsmvfqmJVtFWSTy/vP4hJ0j322W5bmCovSHLU0H8Ok6Q7S/bodH6Zh8nic4+Vic8+ptM9rbVTW2uvTPKEJPsmuSnJwiS/qqofVdXB3YCWSSAcYya6LcnTxtFuiyQWamWqrZ7ObR4jXZFkvWmuhVXbjUmeP452z++2hck0Mpy4fhltrk8ydxpqYXD43KPffPbRd621O1trp7TWdkuyQZL/k+TeJB+Kz75J42mVzEQnJjm2qtZN59bJq4f+otidWv+UdNafOCyd2Tsw2Q6uqt92v74rybIWYv2TJIunryQGwAeT/EtVbZLOZ9+VefgaWycPr72zb5I396VCVmXvr6o/dL++P52fteeNaPPk+KMUk8vnHv3ms4+VSmvtD0k+keQTVfUn6XwGMgmEY8w4rbX/V1UtybvSmVa6tKru6h5eK52FC+9M8r7W2tF9KpNV1w3pLL465I4kz0ny5RHtXprEwyCYNK21k7qfde9Jsl8e/dfsSvLLJK9vrX1puutjlXZOOj9bh54CfXGSjZfRbq/uMZgUPvfoM599rNRaazcn+ed+17GqsCA/M1ZVPTadafRPS+eJRUnnCUZXJjm/tfbHftUGVbVbkhtbaz/vdy2serqzKLbIiM8+i7PST90nud3e/WUdJpXPPVZWPvuYbFX15CS/ba3d1+9aBolwDAAAAICB5bZKZqyqmpPkuUn+NMm6SR5MckuSC1prv+xnbaz6XH/0S1Vtls4jvR81gyLJf7bWrulXbazaXHusrKpq/SRbttbO6XctDJ6qWi/JVq4/pptrb3KZOcaMVFWHJPmndH45r+7u1v26JTk/yZtba5f1p0JWZa4/+qGqVk9nAdbXprMo8DXpBBNJ51rcNMlqSb6Q5E2ttXv7USerHtceK7uq2iPJV1prs/tdC4PH9Ue/uPYm16x+FwATVVVvS3Jsks8m2TXJTkn+PsnvkxyU5M+TXJ3kvKrask9lsopy/dFHxyT5iyR/nWTt1trWrbUXdF9bp/Pkttd02xzTxzpZ9bj2AIBVmpljzDhVdW2Sf22tHTVi/0uSfDXJE1prS6rq1CSPa63t3o86WTW5/uiXqvp9kkNaa/82Rru/TvKR1tr80drBeLn26Jfuz9zxWCPJfLMnmEyuP/rFtdcf1hxjJvqTJBcuY/+FSdZMskmSy5J8MclnprEuBoPrj355bB6+lW00i7ttYbK49uiXJya5OMkPx2i3eZKXTn05DBjXH/3i2usD4Rgz0VVJ9kpy1oj9eyZ5IMlN3fd3xK3DTD7XH/3yvSTvq6rLW2s3LKtBVT0pyXvz6OsTVoRrj365JMktrbV3jNaou+6O/yAy2Vx/9Itrrw+EY8xE70ny71W1RZLvJrkvybOTvCLJv7TW/qfbbpt0nqAFk8n1R7/83yTfSXJNVf0knetrcffY/9/encboVZZhHP9fUgwoigqiYISBCmohCgQLggGCqARE+UCiJqJSl2hwQ6MxspngxmKCiruiEsX9g4IYo6hoFNFCKRFEFmlADbIEV0q6cPvhnKaTcdqZlpn3Yd7z/yWTd845z3nfe5ormeae53nOjnRPEHxef/6tTSrUuDJ7auVquj9IzUZmHiJtEfOnVsxeA+45pgUpyWHAGXQNiO2AW4HPAhdV1UP9mIOBtVV1bbNCNZbMn1pJsojuP0vH0DUknthfup+uMfEj4LtVta5NhRpXZk8tJNkZeFpVrWxdi4bH/KkVs9eGzTFJkiRJkiQNlssqJUlagJLsxKTZO1V1X8t6NBxmT62YPbVk/tSK2RsNN4vWgpRkhyTvSnJFkr8leTDJA0n+nOSSJEe1rlHjy/yplSRLklyc5B7gbroHRPwJuDvJPUm+mmRJ2yo1jsyeWjF7asn8qRWzN3ouq9SCk2Qx3dOwdgFW0m2Ivh/dpsAX9+ePBi4B3rhhDyhpLpg/tdI3XS+j2+PuO8Af6fZ7gu6vic+i2xPqGcBxVfWLBmVqDJk9tWL21JL5Uytmrw2bY1pwklwO7AQcX1V39+e2Az4HTFTVEUn2Bn4NnFtV57erVuPG/KmVJMuBG4DX1SZ+eScJ8GVgv6o6aJT1aXyZPbVi9tSS+VMrZq8Nm2NacJL8G3hVVV025fyuwF+AxVW1KsnbgbdW1T4t6tR4Mn9qJclq4JiqunKGcUcCP6qq7UdSmMae2VMrZk8tmT+1YvbacM8xLURrgMdPc/5xQIBt++PrgaePqigNhvlTK3cCh81i3GH9WGmumD21YvbUkvlTK2avAZ9WqYXo+8A5Sf4GXFlVlWRf4PPAbVV1Sz9uZ+DeVkVqbJk/tXIe8Jkke9LtP3ET8I/+2o5s3H/iZODNTSrUuDJ7asXsqSXzp1bMXgMuq9SCk2RH4NvAi+hm8awHtgNWAa+sqt/3404HdqqqUxvqBI05AAAIEElEQVSVqjFk/tRSklcBZwH7AFN/gQe4GfhAVX1z1LVpvJk9tWL21JL5Uytmb/RsjmnBSnIIsD9dY+JW4MdVtbZtVRoK86eWkuwFPJPuiUXQPcHopqq6vV1VGgKzp1bMnloyf2rF7I2OzTGNrf4JgrtU1R2ta9HwmD+1kmRbYFezp1Eze2rF7Kkl86dWzN7cckN+jbPjADvqasX8ac4lOSXJbUlWJ1mZ5KRphh2I2dMcM3tqxeypJfOnVsze6NkckyRpAUjySuCTwG+BM4DbgK8k+W4/U1GaF2ZPrZg9tWT+1IrZa8NllVpwkvxslkOfDCypqm3msx4Ni/lTK0mWAz+rqvdOOvdC4Ot0fzV8aVXdl+Rg4DdmT3PF7KkVs6eWzJ9aMXttOHNMC9HhwFOA+2b4+nerAjXWzJ9aeSZw+eQTVXUFcAjwBOCqftNWaa6ZPbVi9tSS+VMrZq+BRa0LkLbCDXRP6HjF5gYlORH41mhK0oCYP7XyT2DnqSeralWSQ4EfAlcBZ4+6MI09s6dWzJ5aMn9qxew14MwxLUS/peuaz6SAzHMtGh7zp1auAU6Y7kJV3Q+8EFgOfGKURWkQzJ5aMXtqyfypFbPXgM0xLUTnAm+bxbjLgT3nuRYNj/lTK18D9krypOkuVtVq4GXAFwEf6a25ZPbUitlTS+ZPrZi9BtyQX5IkSZIkSYPlzDFJkiRJkiQNls0xSZIkSZIkDZbNMUmSJEmSJA2WzTFJkiRJkiQNls0xSZIkSZIkDZbNMUmSJEmSJA2WzTFJkiRJkiQNls0xSZIkSZIkDZbNMUmSJEmSJA2WzTFJkiRJkiQNls0xSZIkSZIkDZbNMUmSJEmSJA2WzTFJkiRJkiQNls0xSZIkSZIkDZbNMUmSJEmSJA2WzTFJkiRJkiQNls0xSZIkSZIkDZbNMUmSJEmSJA2WzTFJkiRJkiQNls0xSZKkMZDOL5NUknVJls7yvqX9+Orvz3zXKkmS9EiSqmpdgyRJkuZAkr2BlcD2wA3AgVW1ZjPjHw1cA+wHrAaeW1W3jKJWSZKkRwpnjkmSJI2JvrF1Zn+4L3DaDLe8n64xBnCmjTFJkjREzhyTJEkaI0m2AX4DLAXWAgdV1fXTjNsXuBZ4NPA74NCqWj/KWiVJkh4JbI5JkiSNmSRLgBV0ja/lwCGTG19JHkXXQDsYWAMcUFU3tqhVkiSpNZdVSpIkjZm+0XV2f3gQ8O4pQ95J1xgDOHtyYyzJRJLzklyX5B9JHkxyR5JvJDlic5+b5IlJTk7ytSQ3JvlPkjVJ7kry4yRv6vc529T9E/2DASrJ6/pzJyS5NMlf+wcHXLeF/xySJEmb5cwxSZKkMZRkEfB7YH/gQbrN9m9Oshi4HngMcB3wvKpa19/zDuBcuhlnm/I54JTplmAmWQXsMUNpK4Bjq+quae6fAG7vD5cBRwCvnTJsZVXtP8NnSJIkzZrNMUmSpDGV5AC6/cQWAb8CjgR+AhwFrAOWVtWKfuy7gI/1t/4R+DRwM3AvsBfwBuAl/fXzq+o903zencBfgcvommB/p2u07Qm8GjimH3plVR05zf0TbGyOXQ88h27556eBPwGPA55VVZ/Zsn8JSZKkTbM5JkmSNMaSfJCNT638KXB0//2Hqur0fsyzgZXAtsB5wPuq6qFp3usc4L3AQ8Czq+rmKdf33twTL5OcDFzUHx5dVVdMuT7BxuYYwCXASdPVIkmSNFdsjkmSJI2xfo+vFcCSSadvpNuEf00/5ovA64E/0C2/nLYZlWRbYBWwG/DhqjptunEz1LOCbqnnhVX1tinXJtjYHPsnsHtV/WtLP0OSJGlLuCG/JEnSGOsbYMvoZnvRvy7b0Bjrvax//d7mZmlV1Vrgqv7w+Zv73HSemmSfJPtt+KJbdgnw3BlKv9TGmCRJGoVFrQuQJEnS/Kqqq/v9wPYA7qyqqzdcS7IH8OT+8KwkZ83ybZ863ckkxwFvAQ6n2yNsU3ae4f1XzrIOSZKkh8XmmCRJ0rDtspX3PWbyQZIAX6Bbnjkb289w/f6tKUqSJGlL2RyTJEkatm0mff9R4OuzvG/NlONlbGyMXQdcAFxNt4zygapaD5DkYuAkIDO8//pZ1iFJkvSw2ByTJEkatnsnfb++qv6wle/zxv71VuDQqlq9iXFP2sr3lyRJmhduyC9JkjRst9M9GRLgBQ/jffbtX3+wqcZYv/TywIfxGZIkSXPO5pgkSdKA9csdL+sPD0+ytc2rDSsSHruZMS8Hdt3K95ckSZoXNsckSZL0EWAd3T5g306y16YGpnN8kudMuXRL/3p8kv9bOplkMfCpuSpYkiRprtgckyRJGriqugE4tT9cDKxMckGSY5MckOSQJCcmOR/4M/ADYPcpb3Nx/7obcFWSZUmWJjk8yQeAa+j2G7t23n8gSZKkLeCG/JIkSaKqLkzyH+BCYAfgHf3XdB4C/jvl3MeBFwEvBvYBvjTl+mrgNcBxuO+YJEl6BHHmmCRJkgCoqq8AE8DpwC+Be+iWWz5AN2PsUroZZhNV9fMp966la3y9HVje37Oa7umVnwUOrKrvjOLnkCRJ2hKpqtY1SJIkSZIkSU04c0ySJEmSJEmDZXNMkiRJkiRJg2VzTJIkSZIkSYNlc0ySJEmSJEmDZXNMkiRJkiRJg2VzTJIkSZIkSYNlc0ySJEmSJEmDZXNMkiRJkiRJg2VzTJIkSZIkSYNlc0ySJEmSJEmDZXNMkiRJkiRJg2VzTJIkSZIkSYP1Pyt8uROQe9I0AAAAAElFTkSuQmCC\n",
            "text/plain": [
              "<Figure size 1440x720 with 1 Axes>"
            ]
          },
          "metadata": {
            "tags": [],
            "needs_background": "light"
          }
        }
      ]
    }
  ]
}