Tarea04_ML_Febrero_FeatureSelection_MetodosEnvoltura_2023.ipynb

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        "\n",
        "🤖 📓\n",
        "# Tarea #04\n",
        "#### Nombre :Joel Alejandro Rodarte Rivera \n",
        "#### Matrícula: 2173260\n",
        "\n",
        "El siguiente cuaderno contiene:\n",
        "*  Métodos de filtro\n",
        "  * Anova de valor de F.\n",
        "  * Valor R d correlación.\n",
        "  * Umbral de varianza \n",
        "\n",
        "* Revisón de literatura\n",
        "  * Se investiga sobre las siguiente preguntas:\n",
        "    * ¿Cuántas características se utilizan en los modelos médicos de predicción?\n",
        "    * ¿Cuáles son los métodos más comúnes para selección de características en el área médica? \n",
        "  \n",
        "* Wrapper \n",
        "  * Selección de caracterstica exhaustiva \n",
        "\n",
        "\n",
        "\n",
        " \n",
        "\n",
        "\n"
      ],
      "metadata": {
        "id": "2Db7cJzIa7M1"
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      "cell_type": "markdown",
      "source": [
        "###  Dudas\n",
        "\n",
        "* Para esta tarea estuve trabajando con variables predictivas numericas para predecir otra variable numerica. En este caso usar 131 sítnomas para predecir la presencia de vómito.\n",
        "  * Me interesa saber cómo realizar lo mismo de esta tarea pero para predecir una variable categórica como el nombre de una enfermedad. \n",
        "  * ¿Cómo funciona los feature selections para variables categóricas en general?\n",
        "\n",
        "### Comentarios de interés para tesis \n",
        "\n",
        "* Cross correlations con lag (clase 30 enero minuto 35) \n",
        "\n",
        "* Conclusiones para datos tipicos y outliers (minuto 44 clase 30 enero) \n",
        "\n",
        "\n"
      ],
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      "outputs": [
        {
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          "text": [
            "fatal: destination path 'MachineLearning_EM23' already exists and is not an empty directory.\n"
          ]
        }
      ],
      "source": [
        "! git clone https://github.com/JoeAM11/MachineLearning_EM23.git\n",
        "import pandas as pd\n",
        "from scipy import stats\n",
        "import statistics\n",
        "import matplotlib.pyplot as plt\n",
        "df = pd.read_csv('/content/MachineLearning_EM23/Testing.csv') #Importar el csv desde mi repositorio en Guthub"
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "# Ignorar advertencias\n",
        "import warnings\n",
        "warnings.filterwarnings('ignore')"
      ],
      "metadata": {
        "id": "Ph_SdqIlaNpD"
      },
      "execution_count": 127,
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      "source": [
        "pd.set_option('display.max_columns', 10)\n",
        "pd.set_option('display.max_rows', 10) #Para evitar que me trunque informacióno o que no despliegue tanta, segun sea necesario \n",
        "df = df[df.columns[::-1]] # Me es más logico tener la enfermedad en la primera columna por motivos de organización. "
      ],
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        "df.head()"
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      "execution_count": null,
      "outputs": []
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      "cell_type": "code",
      "source": [
        "df.drop(columns=['prognosis'],inplace=True) #necesario quitar para poder hacer el siguiente paso. \n",
        "\n",
        "#duda --> como realizar lo siguiente sin tener que utilizar inplace."
      ],
      "metadata": {
        "id": "tM15Aj-yVo35"
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      "execution_count": null,
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      "source": [
        "s = df.sum() #sumando todos los 1 de cada columna \n",
        "s.sort_values(ascending=False) #De mayor a menor cualse son los sintomas más comunes \n",
        "\n",
        "#Vomiting resulta ser el síntoma más repetido, lo utilizaré para predecir su presencia. "
      ],
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        "Objetivo \n",
        "\n",
        "Determinar cuales son las variable que mas efecto podría tener sobre el síntoma vomito, el cual es el síntoma más común de todos considerando todas las enfermedades."
      ],
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        "### ANOVA de valor de F\n",
        "\n",
        "Entre más grande sea el valor del estadístico F --> Más información aporta al modelo. \n",
        "\n",
        "Valores pequeños de F --> Poca relación lineal de esa variable en el modelo. \n",
        "\n"
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        "vindex = df.columns.get_loc(\"vomiting\") #el index a quitar de la siguiente lista \n",
        "dfy = df.iloc[:,120:121] #obtener solamente vomiting \n",
        "dfy"
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              "      <td>...</td>\n",
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              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>1</td>\n",
              "      <td>0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>40</th>\n",
              "      <td>1</td>\n",
              "      <td>1</td>\n",
              "      <td>1</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>...</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>1</td>\n",
              "      <td>0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>41</th>\n",
              "      <td>0</td>\n",
              "      <td>1</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>...</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>1</td>\n",
              "      <td>1</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "<p>42 rows × 131 columns</p>\n",
              "</div>\n",
              "      <button class=\"colab-df-convert\" onclick=\"convertToInteractive('df-e9723ab5-4dd6-4671-84c6-e823a1b0c535')\"\n",
              "              title=\"Convert this dataframe to an interactive table.\"\n",
              "              style=\"display:none;\">\n",
              "        \n",
              "  <svg xmlns=\"http://www.w3.org/2000/svg\" height=\"24px\"viewBox=\"0 0 24 24\"\n",
              "       width=\"24px\">\n",
              "    <path d=\"M0 0h24v24H0V0z\" fill=\"none\"/>\n",
              "    <path d=\"M18.56 5.44l.94 2.06.94-2.06 2.06-.94-2.06-.94-.94-2.06-.94 2.06-2.06.94zm-11 1L8.5 8.5l.94-2.06 2.06-.94-2.06-.94L8.5 2.5l-.94 2.06-2.06.94zm10 10l.94 2.06.94-2.06 2.06-.94-2.06-.94-.94-2.06-.94 2.06-2.06.94z\"/><path d=\"M17.41 7.96l-1.37-1.37c-.4-.4-.92-.59-1.43-.59-.52 0-1.04.2-1.43.59L10.3 9.45l-7.72 7.72c-.78.78-.78 2.05 0 2.83L4 21.41c.39.39.9.59 1.41.59.51 0 1.02-.2 1.41-.59l7.78-7.78 2.81-2.81c.8-.78.8-2.07 0-2.86zM5.41 20L4 18.59l7.72-7.72 1.47 1.35L5.41 20z\"/>\n",
              "  </svg>\n",
              "      </button>\n",
              "      \n",
              "  <style>\n",
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              "      gap: 12px;\n",
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              "\n",
              "    .colab-df-convert {\n",
              "      background-color: #E8F0FE;\n",
              "      border: none;\n",
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              "    }\n",
              "\n",
              "    .colab-df-convert:hover {\n",
              "      background-color: #E2EBFA;\n",
              "      box-shadow: 0px 1px 2px rgba(60, 64, 67, 0.3), 0px 1px 3px 1px rgba(60, 64, 67, 0.15);\n",
              "      fill: #174EA6;\n",
              "    }\n",
              "\n",
              "    [theme=dark] .colab-df-convert {\n",
              "      background-color: #3B4455;\n",
              "      fill: #D2E3FC;\n",
              "    }\n",
              "\n",
              "    [theme=dark] .colab-df-convert:hover {\n",
              "      background-color: #434B5C;\n",
              "      box-shadow: 0px 1px 3px 1px rgba(0, 0, 0, 0.15);\n",
              "      filter: drop-shadow(0px 1px 2px rgba(0, 0, 0, 0.3));\n",
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              "    }\n",
              "  </style>\n",
              "\n",
              "      <script>\n",
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              "          document.querySelector('#df-e9723ab5-4dd6-4671-84c6-e823a1b0c535 button.colab-df-convert');\n",
              "        buttonEl.style.display =\n",
              "          google.colab.kernel.accessAllowed ? 'block' : 'none';\n",
              "\n",
              "        async function convertToInteractive(key) {\n",
              "          const element = document.querySelector('#df-e9723ab5-4dd6-4671-84c6-e823a1b0c535');\n",
              "          const dataTable =\n",
              "            await google.colab.kernel.invokeFunction('convertToInteractive',\n",
              "                                                     [key], {});\n",
              "          if (!dataTable) return;\n",
              "\n",
              "          const docLinkHtml = 'Like what you see? Visit the ' +\n",
              "            '<a target=\"_blank\" href=https://colab.research.google.com/notebooks/data_table.ipynb>data table notebook</a>'\n",
              "            + ' to learn more about interactive tables.';\n",
              "          element.innerHTML = '';\n",
              "          dataTable['output_type'] = 'display_data';\n",
              "          await google.colab.output.renderOutput(dataTable, element);\n",
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              "          docLink.innerHTML = docLinkHtml;\n",
              "          element.appendChild(docLink);\n",
              "        }\n",
              "      </script>\n",
              "    </div>\n",
              "  </div>\n",
              "  "
            ]
          },
          "metadata": {},
          "execution_count": 140
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "from sklearn.feature_selection import f_regression\n",
        "f_value = f_regression(dfx,dfy)\n",
        "f_value #Resultado de la regresión F "
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "13tMd6myfEaR",
        "outputId": "136c03e4-a7f5-42c4-d9e8-e7339a646a21"
      },
      "execution_count": 142,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "(array([6.74603175e-01, 1.40786749e+00, 6.74603175e-01, 6.74603175e-01,\n",
              "        6.74603175e-01, 6.74603175e-01, 1.40786749e+00, 6.74603175e-01,\n",
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              "        1.99258954e+00, 9.44123314e-01, 6.74603175e-01, 1.40786749e+00,\n",
              "        6.74603175e-01, 3.31047919e+00, 4.76190476e-01]),\n",
              " array([4.16319961e-01, 2.42410467e-01, 4.16319961e-01, 4.16319961e-01,\n",
              "        4.16319961e-01, 4.16319961e-01, 2.42410467e-01, 4.16319961e-01,\n",
              "        4.16319961e-01, 4.16319961e-01, 2.42410467e-01, 2.29656041e-01,\n",
              "        4.16319961e-01, 2.29656041e-01, 2.29656041e-01, 2.29656041e-01,\n",
              "        2.29656041e-01, 2.29656041e-01, 2.29656041e-01, 4.16319961e-01,\n",
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              "        4.16319961e-01, 4.16319961e-01, 2.42410467e-01, 2.29656041e-01,\n",
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              "        6.92067116e-01, 2.42410467e-01, 4.16319961e-01, 2.29656041e-01,\n",
              "        4.16319961e-01, 9.41053708e-01, 4.16319961e-01, 2.42410467e-01,\n",
              "        4.16319961e-01, 2.29656041e-01, 7.84993890e-01, 7.84993890e-01,\n",
              "        1.65802242e-01, 3.37059007e-01, 4.16319961e-01, 2.42410467e-01,\n",
              "        4.16319961e-01, 7.63299539e-02, 4.94137531e-01]))"
            ]
          },
          "metadata": {},
          "execution_count": 142
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "import numpy as np"
      ],
      "metadata": {
        "id": "14I2f0h-kJc-"
      },
      "execution_count": 102,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "df_results = pd.DataFrame(f_value[0], index=dfx.columns)\n",
        "df_results.columns = ['f_value']\n",
        "df_results.sort_values('f_value', inplace = True, ascending = False) #las variables más linealmente relacionada de mayor a menor \n",
        "df_results"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 424
        },
        "id": "BtqkBkljmPbK",
        "outputId": "da8a090e-8688-49fa-a7fe-e4088ccf3e64"
      },
      "execution_count": 143,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "                       f_value\n",
              "nausea               18.661146\n",
              "abdominal_pain       14.444876\n",
              "yellowish_skin        5.269424\n",
              "loss_of_appetite      5.098819\n",
              "diarrhoea             3.841307\n",
              "...                        ...\n",
              "swelled_lymph_nodes   0.065265\n",
              "loss_of_balance       0.065265\n",
              "fatigue               0.005537\n",
              "cough                 0.000509\n",
              "fluid_overload             NaN\n",
              "\n",
              "[131 rows x 1 columns]"
            ],
            "text/html": [
              "\n",
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              "      <th></th>\n",
              "      <th>f_value</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>nausea</th>\n",
              "      <td>18.661146</td>\n",
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              "    <tr>\n",
              "      <th>abdominal_pain</th>\n",
              "      <td>14.444876</td>\n",
              "    </tr>\n",
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              "      <th>yellowish_skin</th>\n",
              "      <td>5.269424</td>\n",
              "    </tr>\n",
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              "      <th>loss_of_appetite</th>\n",
              "      <td>5.098819</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>diarrhoea</th>\n",
              "      <td>3.841307</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>...</th>\n",
              "      <td>...</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>swelled_lymph_nodes</th>\n",
              "      <td>0.065265</td>\n",
              "    </tr>\n",
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              "      <td>0.065265</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>fatigue</th>\n",
              "      <td>0.005537</td>\n",
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              "    <tr>\n",
              "      <th>cough</th>\n",
              "      <td>0.000509</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>fluid_overload</th>\n",
              "      <td>NaN</td>\n",
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              "<p>131 rows × 1 columns</p>\n",
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              "                                                     [key], {});\n",
              "          if (!dataTable) return;\n",
              "\n",
              "          const docLinkHtml = 'Like what you see? Visit the ' +\n",
              "            '<a target=\"_blank\" href=https://colab.research.google.com/notebooks/data_table.ipynb>data table notebook</a>'\n",
              "            + ' to learn more about interactive tables.';\n",
              "          element.innerHTML = '';\n",
              "          dataTable['output_type'] = 'display_data';\n",
              "          await google.colab.output.renderOutput(dataTable, element);\n",
              "          const docLink = document.createElement('div');\n",
              "          docLink.innerHTML = docLinkHtml;\n",
              "          element.appendChild(docLink);\n",
              "        }\n",
              "      </script>\n",
              "    </div>\n",
              "  </div>\n",
              "  "
            ]
          },
          "metadata": {},
          "execution_count": 143
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "plt.figure(figsize = (30, 30))\n",
        "plt.xticks(rotation=90)\n",
        "plt.bar(df_results.index, df_results.f_value)\n",
        "plt.show()"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 1000
        },
        "id": "VR55ce0bh9eP",
        "outputId": "b1b9294b-80a5-4d08-8fb7-a8804c9504a9"
      },
      "execution_count": 144,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 2160x2160 with 1 Axes>"
            ],
            "image/png": 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XmNI9vuReLyQu+6Uoe8/WAlhDGNDdn8YcD5diMvJ4bB6FVCrnlYxj6Zi/rqparStiMHdNVCLnQ5lNqajtwnEv7fffVfXSTN4hKrChPq2qfypounQdyLXNldjwINOeOB1rzExymunUevvQ5WJ1hg4F7sJetlMa+N8N3C8id9CvLKTSG0udGrsBJwHLisgTWARUNOUTU3BGYULTOSLyDEH6coSylUBV3VsMp/oFV1hfATap84nIsdiYvQJMEUvTDu8zBSVXGbA2xDIANlLVu8Qci7cyKEA8iCmUh6rqLcH580XkEzXeHbGNZqqqviJmmN0+1o+AxgBfEZGHvf9N6b/HYM/zPSLyEwyyct9Eu9v53+8G5xTLXInRfWKwJL/2z1ti8212eootlUPLhf3HVfU1EVkby9w6U1Wfjzm9gNexuf4Degampv5sAfw3cJiqPu8K23cTvJAx36WXKjwXZe/SnpgQsbSITADmx8Y+Rl3mwCtiBZDP98+b0VOM6spdybiMBb4vIq/Te4aqidRvp/tE5EvASDHYqW9ikckxOhF4BItquVGsDktTKvpFwPuBs7D3rhIAfxMRACb6+ngyFnn/EvZ+NvW7df4GFI7N67SkxZO3/t4GvKJxqJ222i4fwoTWTxJAXtBv3K7oACz67mZVvdONXg82tF3xT8jkb50D0oOkEWwcX8PGuW0ct8SgjHZQ1afE6nnEoOEmBe1Xfzf0o2ndKDEIVn3ZsaUvUP4ulbxHFZUYqUeJyGLqOP/e91H+3esR/utF5HL64buud+Xu+Qh/yb70pIjsRf+797QbTmNGkpisUTeoh1Sy5sXWpLaaWs9jkbB7q2o17rdLvKB8ybiUvqeoatteEVKpcb2+N72L+N50gxsr3yEi6wG7YtmmTVQih10nIodislab4RsMwqbkPovePQmgaTCIktmwzMe+568Gs/ICljWK9GrKjhKRURqvuVGyxkBvnclZT//qx2x+5NBIEVlVvX6SiHyUntGgXnuydM0oldlK+H+Gza/rsTH5BPBT78sfEtfkznco2DdU9WoRuQvLRBXMcPyPhvuEgrXd5YcbxKDPUIN3S8Ic5+pMAcX0iB8meE8Sgyf8ISYDj8Ki41NUIsfcBlzkBskc2QHKHbmta410hCEl892WbvCGpY7Nkr2mRN8o5o/Mx5dpno/Ze7a/E3tiNa++Kg01r/y339vwuzEq2lML77V0fSyybWB717nA5v55Gz+3XoJ/hqyPTqX3OiPbf6eILOXrKGJ1/5qcGqVrTOkeX7LXnCFl9UGz92wprzN0K6a7f67mKJ0oVk6lTqVyXsk4lo75eWJO0HnEgqt3wGwLKSqR86HMPlvadsm4l7a9n4icAtTXmKQjVcpsqBPFIF0vzmy/dB3Itc1l8UkvmLbUfl66xswkp5k1td6G5IbXObQZm3St2PmYAdX561Gmzp7Es11SVR/2zW+EWgHOJTVSSNF5XsUiY7bGoF7O0QZsfxeYKiXwtpQSmCu0ish2seuDG03VaroBM2CNV9VXa99tq/2YwyMxDNasIovSrXjl4on+p4qMLgt8ChvHa7QsCiJJLjjtim2KYFkRx2HKy5yq+lKNfwpmCFoCy1i7BINK2SDR/lRg1QzlP7ympLBn63xPvUMBc/Rd8mtnwYxeAjyg6cKVXebAUlj68uqYkngb8C0szfzDqnpzjT97XErJ378fYBBiYIryj7VWo8d5+9YHEREMkjOqTEskAl1EZg8Myak+LQGM1obC16Xzt5RK198O7T8ELKeqMYfE/yrV5oBgc+DA2Bzo2P6CWOaaYrAATw1Hu5HfaSs6foiq7tV2ruNvx96jA5vmuiRqI2gk0lhENsBqJv4Fe0ZLYvP/eqyO1VE1fsEU3MpQPwG4QBMCZcm+JJbZsh/9797+mANgMY3UWPTrhmSN2PcB33yR09NSa3Dk+llUtW6wr74bUkSCc1G5x78r2q9LSQzL/XgMQmZ5VyA3VtUf1/hGYErZNWTIVX6NYPLaUqp6gBsCFqwcHLW2d6T//T8lNVf8mqg8FpPDRCSmpKom6r36NVnyo/MWrV8uy6yMQZ9UNZKiNbL8u42AI8ioKTsj15igvVEAOXucmBPrNMw5IZjxeCes/uSGqnpewFu0Zvg1IzHIo7AOQczZV/Gvgq0bigVdpAxeuOGyyni+U1X/lr5TEJFrtFYHLnau9v2cqvpKU7vOtzCD9RZubOAvWdtXx3SUUaq6mIisCOyiqrum+kymoT+4ZkbpEdlyjMvsm2DQilmGjZJxdP7itWa4KbVnBJ1p0g2y5mNhf0r1jSx+sfopSWoylEb6GN2zpbzm1fHAwpiRP6wb1GS0bd1rut5roU6bvac6/0Ddvdi54Lt6UG7VftM6NtpYZqzMlkO5Yyki/40FUU3Fnuni2Hr6+0S7pWtM5z0+Q0cpqs1bsmdLeZ2hLUL5wM9trqrjE/xFa6/rA/9Scw4vg9XQvDI2Z0p4g2vWI5AJVfXqBt5Su1y2faBD29nj3qHts7Gxu4/++nE7xPj9mhIb6unx7qTb9+uy970C21wrn8skVUBLrN8p+3nRGjOTejTTqfU2IRfGvo0pIjvnKCIzuD+x4teTVPXDCf7FMYHiD34vI5sEnVwlsFRorV07L5ZqnTR+l5KI3KGqbdBhFW9JocvRqvpiQvhLRgS0GQ1E5JOqem1K6C5RLJpIepA138WEi2MlKJwd4b8KizTJ3aiGoqc1o7BnYd+XBJ6sjFxiDpEFVPWRGl+x4lIyBzr2vWhcRGRjLKoZDP++ydAxEviDZsISdFgzYvwD54LvVsCcpuFcH675Wxl4l1TVA0VkUWAhrRl4a9csgBVqBauh8cxw9MXbvhj4ak6brsDtzODYRAVFyTSUd+z35zEc9hf88zzA2qp6cYJ/JyzS+1pM+FsLU9JOS/DvhgVMPO+f5wW2UtXjEvwlRcdj87HJmF3yLg0oHU0KYI0vy0gtFgyzrH98QIfB6dh1Xyr8jbEkeIneAAAgAElEQVSYMj0Ni5ZcBcuSisJQicgjGPToc9icmQeDwXoac+BNSrR9CuasaGq7aA3z71fEoEbB6qDeXfu+yiKPkqYjrSuF8bvAidpzsPxRVZeP8E7UfsiLRnID37+BT6rqB/xdukr7YSzr18wHLJIjU4nIbPTgmJPKZSmJRaofrkFAhIicpKpfHab271DVVQOZ5p3ArQ3rwN1Y5skfVHVlEVkHqyO6Y4Q3a40Rg8r9s5iTZ4A04uwRg4M7C6uXAfAPTG6OwY/Wr53b2y2BWWprc3fMuf00/QaS1Dj+CMsqqPb0z2GyTHRfKtAh5gDmxCJ816ZnoBgN/E5Vl41ck+1IEpGqnlDdENRaFDxnbReR2zGH9aVta4B/V2roP0tVt206JyLbqOrZIrJnrA1NZC0UyjE3YrJCGzx37NpsR25huzkwpBXvplhtqfdgcywn0yy3H1nzcXr2muGmhAEz6Eq/fJqaW8EFA3Os2vNCXVNE7tZ+eMS2PjUaVXPWmdJ79WtmmE7r7V+DyT6/8lNbAdtrwokvhlxS0RxYwMAkjTgdROQj3vZc2Dx/HkNbmFTndf5HyJDZpIeeEqXUmtpBDw5l5T9rSyBlCXXQI0p0lEmYrHF9zl5Q2O8Krjx8l5qcoEX6e4f+TMLk6nkxZ9ydGGzgAGJUCa/zh06w92POjTYnWKOcX0pddasOdpPsfovIA6r6/rw7mPFUIoc5f5Z9QES+HLteVc8cxr7PsDXm7Uwz4QffPnQ6pois7p+fwKKJ6hlJN6vqGOmHSICEAC2FTg2xiL0PAnPXrhmNCToDJJa++1VMmV4ai4Q6AYv8i/FHlUAgFhG0tKpuKSJbeX9fEUkX6hGDI9kYezcmAc+IyARVjQrMEoeCeAHDhv2xDmabTRCRn2NFAMNIr1hE6ZuqqiKyCYYNfqqIDBg6nM4FPks/zNZQ80TgtWpGg7f8GsUcKBWthRmMN4r8ppLAZxbLMBrHoDCfgvl6w5/RdsFvNWEav4xBKVxHHpTC5/Hoaef7mxjmd73fXZx444E1gs9v+bm6ca+6r/c4/7X+eR0MzijWdskcqO6hxEmRNS7e7sF+T+f4qbEisqaq7hPjd4Hv3yIyd5Oxq3TNEMvMWRiDs1qZfiPTnInfOA2b1/U1Y7jm73He7iexQtgvAb9gcA5U7W+BwRtc7/0/VkS+q6rnx/gj17cZYecB/iwid9IOX3AJBv36B2zuttHJuKHc27zHFauU8fA64rAysQi7/VT1ooDneVc4o04t78fK1TorFhV7C5Y9EKOdVfUXQfvP+f4TdWphUeIvisjWWP2bvbE1dkhhFJGvY1lNS4k5oSuaiwRMWem7hEEo1B1YsXPhb/QZqUWkzUj9YXprxooikhTSCwxwXfalZYDvMLh+paLhd1DVo0Vkfax49LZ+36naKlcD56tHvYnIpzGj72nYPPhYou15U213kXv8urHYWl2tQ2f7u31swDY9WOpzquodNZEnmmUG/EFEvsOgbJJyPH5MzWkz2fmeE3NE9VFCprpFVb+V6rQYBPEZGIyUYPBN2yWcDnNjckzlIL4Bc2yn9pwlgb1E5KPai5ZOOvM6zMdSaJrWmrId1pg9MZn68Mh3Kfi2k4A9VfU6/821vd9rRHirfs2ORXIvgdXhsR+IoBEUrBkVjcWMjEnEhhptDayoveCig7GC7gP7UqEOsQsGY/NebP5WL9OLwM8TfTkKWB+DqEFV75ZEJgPmfHt/idGidG1X1cdqa0DTPl+kM2HrXti3kdheElIFnROVLRuoRI6pYL6uJLMmXOk4lqw1kglDGtDPMOilrCw3sToexwIf8LZHAi8n3qfc+VjtNWsCy2F7AZiz+P5EP0qDorL4tQw6F8rnFhTWvCrtU+460+FeIV+nPU9Vt0jYKkg5S7B961jgSP88gQboe1XtsxGIBfalaqOfBuyqqjc57xjsHUn1JVdmOyzVvxZqHcsG28DSLivXbWFHqeoeknC01dewYI9fOlePcGrVUQKK1QdNBgEU7tlZdYZE5DNYvdmFReSY4KvRRGRT6RgQAYjvXTsCx6nqz8QCiKaXF+z9/biY0+N32Lq5JYkSK5lyfql9tki3Kh33kn4HdIuILKeq0b2i1nYKRtduILIuSXmdvxI5DPLtA6FdZw7MVn0X0KQv1+kFLKs8FbDzPkx2mIMWfXwm9WimU+vtQ1mKiKqO8b+5AmCpU+P92EI7T+2aadjiGKPdsKie271vD4rVF0hRiRJYWqh1bhcQdsJqOu1XEzDqdCWmIJ7rn7+IGdafwjJr6uNWRa2ESn/KyFAVr9wW20CbCgd/1v8u2dDXOrUaDVR1P/9bKnSfikFKTCLPUL49Fm30EzXYyiUxZTNFF5M2dMcot7BnFyfeLBrAo6jq6zHjXjWGYllmy6nXgBKDwflloj/ZcyCgEidFScHTDYCV1CNhReQMYDJmXE/RS1jx+KvpN5SGzsfSNWN9DJd+EQy2qaIXgVihaYDVVHW5hn7WqXT+Zhl4A/oB8NFKoHFF/w/06gy00Ykt30chLxI0p5bBV5UYysEMwhXNgRlBU/yx4s9Ncsqz2DypaJqfS9FIERFVreb7SJrrx+QUHT8X2wcOwhTKob40OASy3qUuikhA2UZqETkLCyiZQm++KwkhnUwDXMd9aTwW1HIKee9eNRE3wPbs+1qMsKup6tC6oqpXichhalBbsze0fVZD213kHjBYvo+p6sswZAS7FVPcqv5F4YEy6R8u81TzfTPSxae39L+7BeeijkenN/z9qdqen7iBpFSmAnPGfFq97oM7ln7FoLEczLD1R6wuBtheeTqQyox+HlNCj3GDU1P9NSicj6p6mBg0zYvYvPiRNkDTkFdTtmiNUQ940LLi7e+s1gq/9voWeQBM1ngB2yfb5PEioz3wGM3Ft+v0N2x/qTJMZ8eC+2KUrUOo6tHA0SKye4MxJ3ZdriNpKibTlUTiljggHxORNQD1vWws0PQMsnQml0urWnkv0lsrX/f+DZGqnuhrxYuqeiT5VCLHPOxHSU24UkduyVqTHTDm9HTBuwHmUP0itj59BPgyvczWAcqZj9Ve4wb2MeqQfWK1Vm5KNF0aFJXFX2rM1gScWwuNY7DmVVLX7WBUzVpnOhruc3W3sf73s019iPzmo1gwSld6HHO4xuityqHlv3WziDTJs1kymwbwbFJWOypnLEttA5X9ItfR1kWPgDwdpaLS2rwle3ZuPaK/YU6gjTG5oaJpmM5dp64BESKWqbM1JmdDXL8s5YV+J9jx7gSb0sDfKudDmX22g25VOu7Z/Q5oNSzY/GHaa3BV61Glb1TvS9Qx6HQ6ZXX+SgN6suwDqrp7+FkMUebXdb6AdsQSTir5em3sGSwpIgdoALHo7e3nPMth5Vg+A9xMWh+fSU4znVpvHyp13uB8VXFqgD7oOf9cKRVfqwtmEkl7VdVLgEtEZHVVvTWz76+5I6Bqd5bqPhJUogSOo6wo+CzuZNgCMzy30bran7Z7r/RgZwaMJYVGhqp45Q6aV7wSoEqZfR/9zzUWgVpkNBCRDbGozLDdVH2wF1T1yty2VfV+sSjxZcSiJx9Q1UMa+EsNfVnR0x2deH8XkY1V9VIAsayqplpfi1YOLaengcUSvF3mQImTojSqfB6gErDnzmj/QhLZUBWVrhn+7M8QkS+o6gUZfQC4VTIjiJyK5i/5Bt6KRmh/hM6zNAvRfaQJmI7g+5LaXJdLpD5ZA5UYymN9nSBWADdGE0XkCCzLDUzgbbrXh4DbReQS788mwD2VcSBiDPgd8Buf82BR+L9raL+16LhalPYLwFbSD+c6SkRG1ffUgHLepS6KSEUlRuqPYI72XDzqUgNcyb70pqoeX9D0JLFAgSWBfdxw2PTuPSkie9FTQrYEnvZnV78uq+2Ocg+Y0hcqWVXGdI+hI6SO026Y4XZZEXkCM/pGlcZCxyPAMVjh4/eIyE8wA8a+Eb5SmQpg1tAYpar/44abGC2tql8IPu/fYmAQN9buKiJfwZTFeRv4i+ajrz2/aXFkhbQJ5ojZg15N2T65qrbG9EGaSUPNNu/P8phyHL53MeV4qoj8kJ5xYRtM1m6iRVT1v1t4KipdM6rMm9/SkHkjPci0FzCj3dX+eT0gtc8UO5LUILHXYDDDJDaWJY6kVzBDUL24ehPUW8na/jWshtHCmJPvKvod13UaR4bOpKoHAQeJyEGazjAO+d8SC7rMdmqVyDEdnRqljtyStaYkYAxM9vkNFqwXzoOk/KyqD4nISFV9CzhdLKgq9ixKHZvzYoEzlXwyivQa2SUoKoe/yJgtIt9z43IUQjH2PrlzZBK9mldjtblOc6lRNXed6WK4z9Vpn/S/RXU6Sx14tXEfgQXwpmoa3uB9/5VfsyW21q/ifa1fVyKzIUHtKMxw3Fg7ioyxLLUNVHpP7hpW7fEicjTwT/XyGyIyWkQ+pqq3Jy5t1VEC2h2TwV7D5vHvSSBsOGXv2ap6l1gtqMY6Q2rwdXeLyDmaqE1b468QQUrX9z2wtfAitWC0peg5FaaHF+JOsJFN/LTI+YkfabTPBnytulXpuHfsd64sOLQeich62l9mZG8RuYt+x25F86tqCNX6SxHZo+FnSve9UvtARS9jOmKKZgE+oKpPA4iVnjgTyzC9kcEA/s2wsiOTVXV75z87ox//8TTTqfX2of0ocN6I1fM4nFpxampQEgFdKCKbaC9ya0Hgt9QiZyvBEviSKzB9lFDUbhCRKuJvPSwF+7IIX0XZSmAHofUAbKO/WVXv9M3twQb+kSKyqnrtHLHC2dXmFkulzoavcCfGBdhmBeYouajOV2t/J2zhXgSLul8Ni6z4ZMBTRYNlGQ38mhOwDLR1sIjlzUgbDACuE5FDMYdG2HZUyJUCuCHnf5i44hKNKtfy6OkSJ97XsAjrn3vfH8OiJlN0jYj8nh5W+ZZY1GKs38VzgAInReG4HARMFoOTE2wOxwSPsP0S5+NDvg4sQQaMCeYcORV4r6p+RkSWA1ZX1VMjvGdijq2naI8ggsL5S76Bt6LfReZA3/OaHmO29MMXzIYp1ilomrHA90XkdaBSQjTBCwWGcu9LGPwwAtszUk6c3YEfYrA3isGONBng/uJHRZf435RxYC9MUP26f74aW8+ipKrHYM+2okfFat4MkIh8AzMI9tWAIQ6pkvUuBYrIuTEFsYVKjNR/BBakwTlZoyIDXM6+FNBlIrIr9j6FbaeiVXfEDChT1aIn30VDtDUWJBBCWk7wcyPpReAXtd1R7gEziN0uItWa/jksSzSkrpA6AI+q6rpuUB2hzXVKi3DiVfUcl60+hc3hzyUMIJVMNSFTpgKbX6fQU+S2Jg3D+KqIjFHVm/0+1gReTfCCZV1V9/BLMRiUpjWmdD7OBVwlIv/E1rHxlTIbI1V9WXr1FZ/FajNEs02lENJMyiI+dwD2pxeEcpOfa6JbRORDqnpvCx+UG+3/6kdb5k01LybRLxtd33BNsSNJyrJZSxxJl/pRQtlru+s7TdHPdf4snUm8bhswXiK12xKyUgn8epEcI2UwxxWVOnJL1prSgLHR2Lz8dNh90kFhr4ihAUwRkZ9he3cqMKrUsXkwg/LJuARvaVBUFn8HY3a192TD9YrINWo1on4bORejUqNq1jrTxXBfqtNKGVwllDvwwnF/E/iVqk5I8FY1y+qZmCtDFLkmlNmUZpkNbK6uiu8BqjpFDP0lSiVjWWLDcf73YfJ+PbAklQF/PFYXtqKXIufCvmfrKMCyqvoD8oOLsvdsGYRYW0ZEBiDWxOEwsfUlGw5TrLbljgzaZKIyijsTbxCRKrhwKpaZ1sQ7p39O8jqVOsFy5PwhKrHP5upWHce9qN/0o6Y0nat1Tdas1goxJ1RqH3tWLFkgrPPXhMxSuu9l2QdqtpkR2Lt9XkO7i9Z0gGf83D9FJKbXv6qq/xaRN0VkdMXf0P5MchLNDsydSf/XyQ0ulSJyW5PzRgqKUzv/zhgEz2bYy3Up8B2tFUwXkY1U9TIR2S7WTszILQaptiMmzAtmADlFE5OzsO0LsEX4d9qhgHAbSa/g6Sg/NQ27l/uBDVX1vBr/BZgBserrtlgdgAH4Cglqjanq0i4cndAgcFc4tR/Fnv9KYrU+fhq274aOJMUEa/FCpcHfUZjx5eORJioFM9J0XMF0JfpLWoMbUtUY3FA11yuaAxO851PVHyX4dwfOVtXnYt9H+KNOvNT74ddkF5t2AbAauxs1qCNU4+syB6ZhkX+vYU6KJA62FBY8FYu4r/CE71DVp1ruM9v5KCK3YIa0Psg/TWRjidVOOB34gaquKJbhOVlVPxThfQiDR7iXILJPE9GLpfPXr1mWnoH3moSBN+T/AkEUZH0OiEW9gUHbLEjPwLsVFkHXlqlTtSNYNsBqqtrohMxsb6TPl1ZDufNXc0AwZfdhTAm8ueGad6pDHgw3SQEsiRubf0qG49Tn2MdSBukIf/a71EExrqL39gfG+KmbgHGxNdDn+0pYoEJb7RKksGB6zr4U8MayTrTlXjcmMDKoalNQTDb5u7M1sJSqHiCWKbugehBLwFcs9wTXrkLwjFR18nD03dv+Kx59CFybkqmcN4QUGcKJV9UYhAwicjhwquZnv2aTGKTQbvTP3eM0AuMkFoV9BuYoFyy74CvaXNC6pPh18Xz061bAghW+ADyuqusm+Or1FT8OROsrimWFrIw9l6oYe1MR+XvpRXyu6OvZ2aqahGspIRG5H/gvbE1vDBYpXTOC67Llqlzq+J7+ibJs1hlGhWt7ac2jLJ1JvK5niazURa4Krm2UY0Qk1BWGYI5V9XsNbWaPo/MXrTVuKB/Sa1OG8i4klpHxNOag+Jb36ThVfWiY2l+QXq2i21PySYm+0ZG/yJidQ97mnJghem3vA5hj8XequmziumswnSM0qm6f0sdK15kZca9B2xOJwFVqIstSRKao6kpt5/43KVcvEJHbVHU1EZmcuU9m2wdKbDjOfzPmBDsSgy7cHtObUraK2Lg39b1ER7kO0yXPx7LJ/9hyr9l7tlhwdBRiDdP3znK+hVT1SV+/Yo2ndPLxwJ8xZ+YBmFz+J1Udm+D/EBZwMh/2fv+dRL1EsayrU4FRqrqYy4e7qOqusba7UImcLwX22VzdajrGvaTfj2D24eewMZ8HK8XyNFavagB1xfft0+jtqc9hyEQDgS7e92OxeaYYdOY3NY2GMkMosM2A2TQe1TQELSJyHIbGVNXA/gIGz/pd4HKtIXg5//ex9frbmGN7inarvfifRao683gbHJhx9J3+/zZYrZnFG/gn+t+7sQ0W4O6W39gNy6C6F1ijhXfznHPBd7MBy/sx6zCOy7rAOVg0/8EYvnUT/xx+n8dhC+1pwGkJ3pHAt/z/ubHaEW39mZJzrjrv4zI5OHdvS/t3BtfO7v/fNwzjeLv/vQ2LHpkdeGgYn9M9Oeda2pjU8N2PMaiy87AUacnpT/B3FLahp/g3BL4H/Kg6hmlciudA6Zhhyt3CmGFqPHBOjWdZ/7tK7Ghp/13BsTAW4XRA6l4L+17N9cltbQC3DteYNfRnXiwrJ2tsCtqdmHMuo53JDd9tjGWEHAZ8tqWdqZgR9gMzYAzXwAIC/uqfV8QMNXW+o/zvZfQi3YeOlvt8AHjYP6/Uwn8lFgl6t3+eJfX+YcrcLC331+ldwrIrPgXcg0XtjUu9Rx3Hfa3YMYztz5B9yds5GLgGi4TfAYuu+2kD/zJYpuFVWI2EazGHT4z3eAwK80/+ed7qXjL6NQIYnfhutP+dL3bUeM/zv/f68+87Wvowp8/fC7Es6J9jtVJy+j8PZuBLfb8TFjF9OxYRGZV/sAjSi7Bow2eACzDYumGZW+GYpsa7xvdNzCh1gB/3ArvPgP4siGWeTmh6TpgM/p7g8/wkZHHM+Q3m1AIzDje1XfFP8vER4M81nk5rqV+zeOwYpvFbHqsz+Kgfk4APNvB/1vn/iUXcT8NqOA3X8xwPLJTJewYwT/B5Xmp6xPS814X9vgU4xNeBL1RHA3+xzpRzbhjvJynHRHjvmEF9yFprAt7o2l7jK1on/d0fEXweiUH7hTzHYlkc0aOl3/Ni2S6fqI4Z9Uxb+jEeONDn43bYvn10A//8mBx7BYn9HctseBhzrE2lV4/tbuAbDW0v7uvi3/0ZXYwFSP2v3SuGIkO1vgVH43pHz+ZzT3CuSSe4BrMljfRjGyxYL8W/JiZ7/U8wplMTvPNg+/AROfORTL0g4D8Vc37cg6GcHIsFg6b4s+0DFNhw/LtJ/vfe+rkE/4U+NrP6MRa4uIE/W0fx7xf09idge8++wzR3fw8sEHxewM/NB/xxGNqfHM5fH5vbGvhvAdYJPq8N3JLgvR1zxoS2hIE+UygrUSDn167Lts8yA3Sr6ej3ycD6wedPY/CYq+E2xIZrs2yomf3vtO9RsIYV9kewwPgj/diMFhtkcO0SwArDMS7/CcdM+MG3Dx0PrOgRBntim/qZmHEqRjnFqZH+wqWCeZunAKuJyGoaL2AKlpo7PuMckgk9J54+65EJWm9HI5EsqvoH4A9iKeNb+f+PYYvv2TqYkXIWFg2yPkE0SOwGNcCI10TqeYRK4CtKa40BPC5WtPBi4GoReQ4zCAyQWO2BzVX1ef88L/BrVV0/wn65t3sohpOtRKA0pFvBWyiDG6qiRyoagUWeJdczVd1XDGbk01ik1M9F5Dws0vwvkUuqZ/KKiLwXS3FeKNGXLGhGEblZVcdIP6QKNEcqZs8BcTgYiUDBQBLiJafg6Z5YttjhsWaJQ4hVv1nPWjlKLCsvFqVWCmPysljGnkkNBq+Reg8ni8i5mDCahFHoOn9F5EAM7vUv9J7PwNh0nAPvFJGl1CAREIPRaKzPIP1QENX78a8E78FYpNc5fmqsGBxAqk7GilgE0aliWbanYetGFMddBmEpwJ5THyyF05HY2nspGPyeiHyifjHlRZgr2o8CWBLg3ap6nojs4/xvikiq0GwOnGvXd+kdqnqNiIhaRN241HskIkep6h6SgK/USPaVZuL+S4e6FU6t+5KIfFJVr03Ml4F3NaANgJXUswpE5AzMuP39BP94DILuFNoL239MrT7mZO/Dc2KQT1HyNeZr3u6dwGgROVpV63UQz8WM8JOIrANAmAXUqdC79/cVzFBznu/vR2NwOU34/xU14sSr6inAKWIZvttjtewmACdrUKeGAhijEhkvtVZXe2WDrLETGcWvu85HMajCLTDj6ngsQrUpm62kvmIppNlEf+9OxubaS9i9hlS8lorIaF/v26BlpmfNOAnYs5pLriecjBk4Y3QUltV8r6qmZKTU/GqDIwZ4N3C/WD3ItmzWFSq52nmeE5GVazzF73WXtZ3CmkcddKZbGITGip1DRKLZCZqozVsox2TDHJeOY5e1RkR2wbLA/oWhA8TW9pCy10mnazAHZJXB+A7MCRK+H9lQfLW+58DYF+kbHfUTgP9S1c3Fyh+c4XvsTQ3dPwfLTN4Q24u3w5xQ4W8dDRwtIrur6rGDTfSTiBzi79CqiXeszl9sq3BqvVdVHeN/S+pvQRlcJdjeciwmkyv2Tn+lgf9ULGOwD2kjQVdgAbJ9yBkNlKsXVBTWjvoV5lw5MMVcaB8ohTt+zfWkB8Ugyp+gh+wTo69hxvd9sXG/BtMZUlSio6CWcXmMWNZWFYjbV1er456dBbEW0X2HvqIhY5MeNP7zYnVCnwLek+CFwnqJqvpYtZ47xcawVFYqkfNDyrLPOmXZ/BrGHYDauHft92qqunPQ5lUicpiq7iKGvjBAUoPzFJEBOM8O87Ha99bE0E1+4583x5zjKcpawxJj+YL/7rcrW03QP8WyIwfQFxp+ow99BHPQz6QWmunUevvQm6qqIrIJ8AtVPdUN1SlqLU7tVBecLkycB0BEPoMZmRYWkRDndzSRGlNOhwOf1hr0HLV6XXQ07rjhexssTXwyJvSOwYTdtWvspQJ0EUY8JrCc6Qs5WKrtdgneG6Ss1hiq+nn/d5wLLXOTLnQ4f0TxjgoJqloJhBeIyOVYJGbMgdBU8LbJIfd1LEOu2pxuwrLlUhQahd/EHKIxbO3ej9v78RQmDL2JRSKeLyJX6yBESZYTz2kN7UEz7i8Gy3Rl5Pe7KCMlc6CLwVykpeCpqlYC9WdU9V+1i+eggaTM+RjWdnqddiF3T0zJWdqNqfNjDsUYvQNTcNrqFXQp2Aw295ZW1debmDrOgW9hzpKp2JgsjuE+N9FGwf/V+7FJgjflFIg6tdTgBk8GThZLwz8XOFJEzgcO1EH4mx1JwFKIyBAsRdB+q3KhhUWYA3pDVV+otd+0LpU4TltrwFTvktbgBjKoRDHOVryk3MlaXLcCsveltbCo6o0YpNi7GtI89Irap+q1VfSmqh7fwlPRG2LFyKvnPz/NRpjlVPVFEdka2wP2xuZ6n1NLVT/rf5scqhVvp0LvFfk7uiUWgTyRxD4p5Tjx+Ngs68c/sMjSPUVkF1X9orOV1CEpkfG6yhq5xa+7zsdFgT1UtR4ckqLW+opDP1pYR0V78DkniMjvsAjce2o8FSTMSm7sHSIRGYsp1HWqGz3C8asbPTqtGRQapbBapn9MObScOjuISdcUitEIEZlXHc7KHS59co8aFNBI4JcF+0GXYI7SYKEsnUkMnm5hTDZdGfog3OZMNB0a5ubAnkMTTHOJHBPOxQrmOKUDl45jF7nwO8Dy2lzDOaTSek1zaADJqaovideECc71wdyJ1edQbYGMxt6TCtJqHXFIqxpPqb7RNaCn1Jj9Lrd/jNVerZw7E7xPichcqjpNRPbFHLE/jujvG4jI3iQCcyPUdZ3JvlcROUtVt207F9C22L7+DUynWBTL2kzRIhHn7prYOhujF1R1QO9N0ByqGg0cTFGm06HifQVzav3A19h31nXXyDW59oESGw7YXJgTs20ciM3zJL9agMsXU0RMz3QAACAASURBVN9HKFtHEZEPYPLFZpi89hsM3qxOXfbs6902FEKsVXt2aGcq1a0rOkksMOuHmN4/yv9PUUm9xMfEajmpiFTZcQP7UqneWSLn1yjXPptt86vGXSwA90lsXCp49YVqvF37/aSI7AX82j9vCTzt72BKbzoNQ06o9JJtsWCOMKClaD5W+56IfB1DpnjTP59Asz03dw07CoMPPBcbwy9i9Vbv8vtZO2SWshrnsUDjb4rI6qqaCtScSRXp/4F0sZnH9B+Y4rkPlja5ICa8tEHVLYjBMW2E1YnI/a0mWJ0VsQ37Uf9bHZsC8yauyYaewwzu1xX09SLMM78PNegQ4rBeFVzLjRj8ybtpSD/FDLX1Iwpl5PxL+t8h+IrqXGKcd8aEhPP9/9aUVUww/yYWrdQEaTWJADoBM5bfleCdA1NKLsRgMb5FA8QIsGbOuf+tAxNSJmERW5vjEJc+xn9puXZ2GtKiKYRmxDa/Kk18bX9W8yR4O82BgnH5BCYg7uWflyKRnh2bG6n5EnwfvhdXY86QRjibwv7PguHPDytsaYd+XEAAIZXBf1bOudocXNGP2TPaz37/sAig+YLP89EMaTUS2zcuwgxee2JQE5sB/xPhz4al8Dm+BiYczooZhn4daTMK2UQLdBPlsCSrYDAdL/jf/2EYoAB8DZrL/98XW1dXbuD/KKbELYIJ/BdgUXFNvzE259z/1kH+vjQwv2mGvNgKkzd+iWV8Pwxs2cA/DgsOWIgWSA1M4bsUU2B+gkFXNsEo3+fzdjwO30gDrDMROJ/YOT+/KfCgz8UseDXMCHyRj9E7W3jXCo41aYEIxKKnH8LgRVatffdAeD8UwBj5NYfknPPzRbIGtl7d7fNgfywTYY8E7whgiw5zfQxWawUs2CIl4wlmXNwUg2I6Avh8S9uLA+v6/3Pi60iCNwZzujQRmFTi+3s21FtLn0cChxVecxFmtFrCj32xwuwp/o9ixpx9/BnviWV6xXiHoNswONKNyZAfcsceq1fzZ8yI+WP/f9sE7zUME+xOrd0KnmwaZlB6NWfdIFNnwvS667y9UM67BNg0s4+zA9c3fF8ix8RgEBtlJWbgHulzcc4C/lK4twkE+ygWBBqF2caCye7F9oNHsfXvww1tZ0FaYetjkV6XeE5NuuROmINhLcwo/QzwtQb+2/zv77FsrZVJ6Hj0oMzGYNn7GxKBycKCUp7HnB1D71DTu0ShraL0Xqmt15gudH9L+7NhEOkfAmZr4S3S9zCo0kOxALah/SbB+y1Ml22VwZw/Sy8I+M/FbCzvxNayx7E6lSn+LPsAwT5GAQRpwJ/cq8N3gcwSGM6fraNg2ZZjsfpb2fMy8/6yINboCG3XoT/zYhlvd/lxNGkb5LsxB8LT/s6djTnHU22/z+fk/f6eTqXZTpgt5wffZ9tnydStnHdAH4md69JvH8djMbvAXf7//Ni681+Ja4rgPAOepB064HmAftvGvAS6SYQ/aw1LjOGUprEM+AT4HHBwA889DEILDxsk9dv5+P+8AzOPYXqQtgDuCXzcPy+GFUVM8e+ERZX/kh703w4N/KVCwqxYdkSrARvbtE/BDPxrY4bvpk08WwkkwNTN5K+Eyk/QEyp3GcbnFBMUk/jKHdr/Eaa87O/H3SQwk7HI7b9iERtnY8rO+gne8zCD8Dp+nAyML7zPJoG4jmUbFRKwYpkQGC1oMWA4//4kaj0QqQ1EgRMPM7zMg0UmPYVFwRzY0JcpmALyX36/hwJXDNcc8N9YAzPef7k6pqOtBTGF+U+Yglht9mtTq88xnX0WTJH/oX9elJqx1M9/0v9uGjsSbWfVK6ABh5lmLOaPYNkzvyevtlORQoo57bbIfZ4l7x/lToGp2FowUFcxNkb1+/LnfL//P7n2XZZyQaKWCy01XTBD5E8waLiJ/n9j/Q9aHKd0qElDpjHFeYoNwg1zIGqk9ue5Uu3cuAhf9B4z5nvJvvRbAqM7tv407pGYcWRjP9oUwIcjR5NCuixmZPgGLXXkMMXyCSzTpsqqHKjFiO0v8/k4zEtPqV+CxJqKOZCK6thRZnQpMvRjMD1RRxmBfEaHOiSJuZsKdOoSbBEaAZLOZOctql+IQalchjv4sUCXCQ382TUyMUPgnbihDTOuNBkZbsOynidiRrvXMGPDXzB0BLD1/zIs4jx8n69ratuvLXHKFtW1pMAo5fxXYfLa/v4M9gP2S/CGtUQfIVJLdBjG/oPYmvENLIMzxXcJJoefSn69o1hQx02YMTFpjMsc91KdKVmfK/MZNwWAlcgxXdaBIkcu8DNMD54V00P/juskEd6VMVn/xJznSuE6iTlx/+LP/WZsf4g6qnx+fDz4PIbm4J+LMJ1mHBbgeQkJHaVpvIbrORW2/1ksW2F5bA2bBGzc1HfgIOBLGc//ksK+DLvDGnM2T6PfwTYNg609qOG6DbEsq+uxIOi/Yugbdb7Vseydx+jXr8fRHKBzXeRI1SrdDXMSPkKeDFbqdKgMzFtjmYGztsz3bPsADXWcEteHDuVHaHcoF9WQ82uygzvJtMs5b3b92YLxuNz/Pkx/Pbu2OfAuzElyl7/TRzXNgRl5kFnjmA5yvl+XbZ+lQLdy/lv8vRiJOYa2plZrrGu/g+sbA+hqvLcS1PnFbIGp4IxSO/T2DNo2tmvgz1rDvM9b+PiN8P+rYIqs2vA07zNFgcYzj94hPmAz6T+MROQBzCj5rH9+F7awvT/BP0VVV3JYnVVwWB1NYEOLyEYYtMNsqrqkiKyELfoDeNSOtbobJmiDQ8+p6mt1Xue/BFMYrqYf8m8A59fhGPbElIOvisj7sA398gjvCGAzVW2E3IlctyEmUAxBsWkNI97hGz6IKUXfDb4ajS3KH4y0uya2WS6OCS0VJFQKz7Z6riuqp9qLyDuwRTb1XN+N4aWDLcpRqAwRuV9Vl8s4tzrmUNkDU7DD+/y8qq6YaP/PRLBstVaTyWGNThSR/WLtqOr+sfN+7Rjgfap6usNIjVLVhxO852GKQlXj60tYNtXmMf7gutlJQzNWPHep1Wn5LvAvVT1WRCarar3mQtc5cBYWjT2F3lhq4v2YH8PVrs/fEDt/OwxL/SP0p39Pw6BzBmCYJFGTKmg/VoPgeCyi+JOq+gGHGrhKVT9a49tfVfcTkdPjTesOkbavxgSiEIpga1Vdr8a3nf8bxWJW1a/F7kdE7sOMF30Y8VqDKRDDPf8+pli8Qg+y53XgJI3UsfK5vrb35wrgM1ix6AGoxel4/xbCjCRg2apPxficd5QGsDdtJCLHYUEWISzF49g6eLmWQ/Flk4jcqqqrT2cba2DC/BB8lKqeGXz/YVWd5DBvA1SfA37NZFVdWUQOwoza56bWAOe/TVVXi30X4d0KW6/G0A+1MBfwb1X9VOSaxzGjyBHag264S1VXqfFF77Gi2L36ddn7klitoA2wSM9FMUPfd1T1qtTvisjC9NbIqi83pvhLyKEzFqi1/deC62dRh78Izo3F3tH3Yk6wah14EatJ9fNIOxNUdc3Cvi+D1VtdQFWXF5EVMAPfjyO8k4CPY0rsBMyA/7qqbp1oewQ2z5ZS1QNEZDHMoThQT7Kgv1/HsuiWwow6Fc2FOYa2CXg7rXV+7YpY4JJiTse7G3gPpgfVE8qb/0zwT8Hk07uq91kMmjglK58B/FxVUxBZ9bZXxRzgVdv3quqHEvwXYkEi9/nn5TAYm+8BF7pMvziwJGbY3Tu4fBqmSA/AhovBDs+JKf1r0w899ztVXTZyzfGYE2k8/ePYBCuaTSLyR1VdPpO3ksF2x+oV/qzScRquKR37rHUjkDn6SGvQcbVrfobJduf6qS9iz+MpzEC0UcD7ecww84J/ngdYW1UvTrSdrTM5/4JYcMh7VfUzPsdWV9VTI7xhjaGRWBT3AfX1ruTdlh4M4tnYehTOxRMSc7F4j/TrKj3485jzZE/gxthaI1Z77WYGZcLkcy0lh8qq9tAHNKh3JiLrqUOTxmSL2P6e+I21cEgrjcBri8hhmJHvQm0wKHV5Tn7d7JjMuAT971IUjquExODSnsDqlq2CZTPe0bR3+HWja31J7QXZtgrnz75XETkopi809PnPwGfV4cFFZGngt/Vx9+e9Ngazd0Lw1TTgMlV9MPc3G/oyFQtYzIXmLG3/PmAlbH38uareICJ3t8gEWfaB0n1MRO4BdlPVm4LfOa5BHqh0g3vUyhrMiskoSfm/TUcJ+LLtcs5/NzYH6naZSRHeTYFDMLhMgSSEeSdyHf5G+uuur62q69b4onUSg77HbJDzY0ErS9A/hgO2BOefpKofDvf/6lyNr1jO9+uy7bMlupV/vwQWILQmNk4TMKSCR4ah32tgCQqjVHUxl7N30R4MduyalTCH09z+O//EHE/3RHiL7NB+zYLAx/xeG20buSQiS2FjuLq3extmv3wCc1jfXOPfNPhYleFYK2WbcPnkYEy+FkxX2VtVfxPjn0k9mllT621CEsfsfElVU/UlnqW/yHMV6ZOiWX1z/RwmJLwhIk0e0XGYAng9gKpOEZEoPqua86qCXsmhC2murxHS6diGXBXPfQITRgYUNFX9t4h8j5Y6EiGJYbTOiWUvnYIZ4mJGnfdjStA89OPET8M20xiVFF6t6G+Yc6LCj54du+cUvYVFPs0BLCciKWPgXSKymqreBiAiHyOObzsbBpM1C/348y+SrncEmVi2ag6tkRjkw5Ft/BWJOQY+gj2H07H342xsY4/R8trvsLtORKIFJr0/GxIIRD6Oqfn8hm9a29GbC7MmeLvMgY9gkcE5EQtVUeXPki6qfAZwhoh8QVUvyOxDF9zsj7mhabL/7nNihY37SFX387/bF7SdVa9Au2Mxv6Kqx7R1QlUPAg4qVEg3w2AHJ6vq9iKyAD3Bvk7Z758MFu5+3P++V0Teq+m6gO91xa7VUO60G6aoV+/amcAFPj/7HFolRvhM6qv55u1/h0HlJVrPQRIOYr+H6tohnHWfr8v4V31Gpho9ISInYsaUQ9yY0VS0e7KIXEqeIn0Lli36bvrrV0wjXWz2GexZnC0iq2IQJQN1hjRwWrnytJh6LcwWyt6XVPVkH8eLsee0i6rekmpYRA7BsNvvo2c8VEwBDvk+qarX1hSM8HdjzvndsYyPp+nVXlIMwifWlwWw2iN9Bl5sHQ9/K7tQfdDfiSLyG2xchgJ+UsYUp5Mx5/GJznuPWJ3Q2PskqvqKWC3W49QN/Q1t/wIPQsAcJdOwDNh6EEKJweBcrBbZgIMlYjjsJGu4wr6z91WwOX9Sw3PY0v/uFpxT0sWyX1dVreRjaa4DBaZwby0ij2LvdmUMis2x11T1dfHaIiIyC831w5ZRd2hhjd7v6/7Uqg21Wm2PYvM0l3ahZ/SYRL/RI2rwwN7/Z+mvnaPUZHkROUpV90gZp1IGOOAKEfm0Nji/+3+muZZohLLHvmTd6OjkWLfmkLhXeo66bWq8+6nqRcHvPe/ycNSpRYHOFPCfjtWwAUMf+A21Nc8prDH0JvC0RpymlL3b62NBV4vQr0NOwwKIYtRlj4Te+rUhhlRRr88Z0qyaUTdIRL7na+2xxOd71AHi372B1SOJ0SGYMwWsrtSJWN0+xda06yvZLybrRYz8C2OR7nXaBXPuvSki/yJtzA6f0+H01oym5wSWJfYCvUzTRircb7bAEEsO8/diIfqDTuttfxXb6/5F71k17QUltgoou9cf+Lu+pKoeKCKLYnChqaCSadpf73Yq/TYgYEjGu0FEful7QxXAMkpVX2zqkGQE+Do9hAX1NVLqnQjaTr0bJ9LLirpRLHAj2fdC+0DWPhbQW+oOLe/zzSKSqi8PhTXkcnSUgMaRaZdzKqk/+zNgI1VtqpHYRy7bjqEXXJTak8Dm9oHB5x+LyJYRvpJ6kxVdgun3fyDPzpJV47hEzq9RiX22yObnzqtUXcqKp2u/j8TW+Uu9nbtF5BMtvzUFWFEsUICWNabUDg023z9e/RzpmvRA3hqmqlOJ19oFC2SpU0ltUFT1VyJyPT1daq/hcMb9J9BMp9bbhDQovigmZW9CLwMnRg8Bt4tFEqnz3yOeYRExyBcJCcAbEYE/pQDWs1Gqe4oKioVK4NKquqU7EXCjTVILAf4gIt8hMyoXi6ZYQSyqZn8RORwzytT7fAlwiVixv1sz+15SeHXoGuA+sagWxYymd4jIMd6PISFQRHbCjJeLYALRaljEXczA+2HgFhGpIk0XAx4Qj7ysDDAxgbiJAoP6dSJyKCYYhga7AWVLVd/y55nt1AI+j0dPext/E5Emx0uuEw9sk/wXtYjMBtoecyD9RFUfdqHyrARvlznwRwyy68kM3uyiyqp6Qa7Sog0Zcw30hpiDsDIGzk/DeLow/w3tRSAvjsGWxqJsn3UF8Ff+eSuanfjzYhGk1Xs/ys+l6CaxrJtLaZm/Tt8vEOhfVXO4v+mC3zNYBssAFb5/e9KtcHeJoRx3Xp3vRxsVtZ1B9T1nPBZ5eAp5yku2g1hE1qYHFSHAoiKyncaDBIqMKRQo0h2N1OLv0UYiMg5TelMBMX0Rn8CS0hLxSca+JP3ZnYLtMVOA1XwtTgUJfA7LJGgzAq2FwafElJGUUWKst920VoT0S/INvKhl6S6PZWGGa2pokKj6q5gh6NMZ/a5oTlW9oybypAwqpYb+rCAECgwGPgdfwNZnROQ92LiMEssQ/WvA29X4tqP3/WW/5hBM7okq71peLPs8NyDPI5Z1uAO2rqVo/YK2bxCR7wPvEJH1sKy2JiX9PrEAhLBw9/1iTvQ+h7tYgfljgQ9g7/VIEsWsuxg9ND8IpZKFSo1TXwe+IyKvYffWFCm+BwbjdZGq3icWeXtdS/slY5+9bojIw8SdGclsfGCkiKxaGbBF5KP03tX6+x0LlmjS/Ut1pner6nliWeio6psiknrPvwmcqqrRALGKSuQY7RB01XGPBLhcLOPlVeDrLqP+K8F7pTtBLqNfJqzrkpUROKVfdKXwmVUZKnWEi5WJyHq5Rn5fb/9bVSe0dabLc3JaRFX/u4C/db8RkdG+R8yBG/hFZD7sOTU9h+9iAY9ZGUaFtgoou9cwqORA4CU/99EE/0QRuQIL2lUMfeJO10NiwTEHicjXsDG8ExgtIker6qGxxiU/wBfMtjJFRK6j/92oO6k6vRNqAYZhkOGjItKECFFiH/hOgTwI5Q7lk8RQSvbF9MlRWImDFJUEsWbZ5fxdALhMRHbF4Eib1jCwAIUSh9ZxWAmGSif/mlh26W6JS64SkS/SCzrfDIP77yNNoEVEfv8CVf2Cf5xTVffK7Tu2v8+J7WcHYu9gNOPa6SkRmUtVp4nIvliW0Y8b7AMl9tksm590CJ7I1E/q1zxWm1+NMr9YFtp+uC1ERG7GdMnYO1bqrD4YWw/P8VPfdBtsNIiibQ3rMoZ+Pkv2DeyhFeUGGs8kp5lOrbch+eZ2sQumeyfY/kI/vMsl/je6kdeFBHdurBN83q4mwN0nIl/ClK/3YYt/Ktq6KBulUAl8XSyivDKUL01zBFRpVO6r/vcVEXkvZnhcqKH9z4ulxr+KFRJeAfiWqsYyL7IdPQFd5EdF1zfwjsUW/NtUdR0xiMSfJngbBW0RmVdVnwtOveJ9T8LaOdUN6h8J/m8yrE8QkZ8z6HxMjU1p9HSWE89pEW1If66TK/TfDD4/jEVV4n0Lha3sOSC9yOa5MMPVHbVrYgbnyrD1pJjD6m8Yfu8AlSgtHTf/Y7C5+x4R+Ym3v2+sfaebMcFvTyyK9LsYFnyMdsAMdkd6f27BokZTdDCWHROmf49r4K+gXcJAgqb5+wvyBfqJYpBBJ2Nr5EuYEbaJfimRCKbw/VPVr/q/n1GHLqhIDF4qRSWG8lJYiqK2O1BJ5CGUOYgPx+rUPABDWWG/wtaSOi2EQb+8JuYMW4F4ZCXQLhSLyD5qWYCIyM2qOkb6s7ehedwvDX5rnBgU3bcafnIcZRGfOftSXfa4MHG+TlMxo1ujU0u7ZXg+himNuVRi4K2Mh2tTgxalPxNwe+c9Axirqs/753mJO6RD+ofLPNW+txnpuVxq6M8NQig1GFRO0yOwTKBnsICnP2HyRJ2KjG/YexA+kyqTJtWXL8fOpxR7VT3MnR4vYkbhH6nDgCX4H5UIVF2C9saccvdiGRJXYHtxir6COV+qrOQJWKbqG9SyZLEMqy9ijv+PYLUbl6GZso01kpmFqz1oo5XceRa2MRarBzNAGgT2tVHlNAk+TyWQyRJUMvYl60Yo886BGZujMlhAOwGniUgVHT4N2Mnl2oNqvBNF5AhM5gDTbQbgowIq1ZledsNUxb8a6Xv/E3CyWJbb6cCvtAGqmww5JqDlRWRgfdAGmDopcOR6W3uLQT++oBZc9zLpiOut/G+YkT+gS6pq5Rh9RVXHh9+JSCPceQsNjZuWQzxnGfnVgq1+Tk/+zaFFxIKzpmEy7SoYtFIqw/IWEfmQqt6b2X7OfnMuljU4CRuncP1v0vf/QkaGUUWFtgoou9fcoJKK5sAyRysI6b9jMOgbEQ+OWU5VXxSD+roSh/rCakDHKCvA1+li0pmiQ5TrFBSRY1V19+DzWGx9mYat0St7/1NzrMQ+cJtYBvvpwJUZzqQihzJWp/E5DGlgKe9Pk2xdoqPk2uXq70UYcJd6P0qRBD6J1SurxvwMDG0hRTtjckwV9DIS23t2Ia3XNFF4D5eLyAaqekXOhdqDin4JC1Juox+q6nix7Nd1sXfoeCxLP0Yl9tlcm19x8ESOflKjx8QgCFUso2ps8Lsp+jU21yub19aYXW/dOmMHZ/UGmBz5b7+fM4DJpDOD29awTgEoIrIIJmdUQSE3Ybrc4zXWJn2uyZ40kyrS/wOFvWYe038AmwbHZphRtqgwc629Ywv576p9nhPDWb8TWwB+gtUail17e+FvvSs4FsY2uoEijc67Hqa8/h3z1j+C4fB2HZf1ap9/iEEKfgFLE38SOLDh+qqA6ecxZ97cJIqvUlB4taD/FwT/31n1CZjd/7+vY7v1538VZgD4EyZEnwYcMj19n56xwQw5J2IG0J0xp8DuDfyLtxzzBryH4EXXh+neJgf/Z9+nj3PySFxTUlT5ntrfUViGUYx3I/+7XexouPdlMaPLN6gV6E3wj8EMdE9i9VxSfGfUntl8WFZXU9sLYgaLTZra7viM/4xlx1SfRwB/yrhuCWCFDL4PB8eamIH4ZwneosLdmJC3dMWD7TdXNvA/lPMsu7Sd0d7k2udxmJF3IXrFb+druP464DksIvDS6kjwDhRyjZ3z81MwA/Z/Ydk8h5IoxJ55n9NdaB1b19b1/+cE5mrgrYrihmtV50K2BPtSl2t9jp2IKTzHAMc08P8FkwW+Bnywpe1TMSVuH4Ki6Q3812NySTV/VwNuaOC/19/9u/3zAsDVOXM5da72/VJYxPorGCTJzSQKoteuGwGMbuHZ2t+HxzH57gFg8wjfj4ENCp/p3T6Ok/3zOliGR/RdCvqTUxR+T29/nB9TsJoCKf5jg+NkTIY4v+t8jbS/O1az6z6fD/fW+48ZumAYZShvL5QHJ/rfe4JzbfOrkgXG+NzfkIQ8j8nhq9bWjD82tB3bl2LvwLL+d5XYUeM9yv9eRrCe07CudxzXonUjcv2kTL65gblbeN6J6YMTMX3sp5jhP8VfpDP5OE/AHFkTsP2sUUbBnL0HY9lS5wLrJPhK5JhvB8cPMBm/TcabiO3BkzEj6fbAQQ38X44dwzRniuSwkvYwHfWbPn45e+QdYRs+h1KyzGGY/iuZ/ar2uvUxY+wHm+4TuB+rOfsABg05sD7W+Iv3m4IxXRnbL3JljWxbRem9Arf7nK2e0fy0rNct97ZP7fN92F46HtcfSdgqqv7439uwYJTZgYdmxHNomuuROXZhxhzLtg9gjp71sIC1h7D1dJnp6Pt2Tffi55L7AWU6SmiXu9PflahdrsN9nB45kusvBme7ePB5caxmW9ffb5Tlm+YM5vz8NxZs/qJ/fjFyTVRuaBpzv66SYw8CvhSe63iv2fZZpk+3ytZP/Pt3YzLD01gw2tkYGlDTbwzIgFid6fDzNv53z9jR0PY9BPo9pu837R1ZaxhxPWfgXPDd1ZhsMYsfX0mNo4/3ml2f2X/6MTNT6+1DRZidGVRUkJxapKuqvoJhPh9iH3UAu1k6QM/5+Xpa6lEeWf6jCO/VInIXZlwSzDs+BB0gIh/UoOZABoU45WgP4/cCsaKzc2hz5GFVO6kVk13Lo+tyKIxOedwzQC4GrhaR5zAlswvVbyIb1g4GU5Axg0AqBbl4bLRD9HRTez6nqvl7G3CRGBRHG+xNVneDfmTfp49zFdX1pPYXDl0gcU1VJ+EFBiO361Rl87RmJapHn2o5/MbTWBTLLBjMzyqpdUBEtsWcyl/GMl2uEJHtVfXuCPsKGmQSquo/RSQZXSr2Uq4LLKWqB4jIYhLA/UT458bmb4UffQM2f1NrwUNY9l81zxb1c6n+bFxru6nuAzpYyHeCZ+6FbVaFu9/hY1G9w6Mx5SdFuwEnAcuKyBNYnYWtG/hLYClK226jbWuft/O/OZGH0JydV6eJInIK/YWMUxFd/1bL4tkUU1COrSJuO1Lf+uuZH/dpovj6wMUGk/ZVTOhfGpsXJwAxKE8oy8TOoaWkQ4Fnp0qpzKXlsAjJjwOHisj7MUXn8xHev/oxmx9ttKf3ZWkRmYAZmppqSWZDiwIjJMiIFoOIicrwvu8ejdUhWNcjj0fE5LDgmnMxR19WxpOqnuNy16ew+fe58D0P+joWg1vNgYWr6A1VfVZERojICFW9TkSOSvAW4eyr6hFiePVj/NT2qjr07kkt61yDCHD/fh56cH7h+Xpm5NBXNN9vDlTdQh4Bu7GI/JpBebsrLEm47r3ikf5TPBvlSZrr/EEv421D4CRV/a2IpKBis7JwxWDvvoTBmobvdQgHHNK3MUNkDoxulYSLJQAAIABJREFUV2hDROSzGNTQ4th71/Rcs9cN6YecqYqIN+rmkqjdp6oxmNMNVHXv2vWbY8bqASrVmVT1LhFZC5OrheZaktXetKwf/8AczHuKyC6q+sVaX1rlmIC37/mLyGFE4Kki1z0kIiNV9S3gdN+HU/VOQ2i3ObC17y4ikes+xr/T/izGA8O1xvk+g0WULywOGeU0munLUn8k+P8KTE/JhUgvgVDNralVUbUAbACcqZYV3ARv+ZmmjtbXazL2GxmEeeqjhvX0RAzCOGscS2wVTiX3Wops0Uab05/lWVpy4nLfGw/F3gklMWdcZjyIQVizJsjVEgrn2Fltc6zEPqCqitmArvYskbOBXUXkbizjMLe8REVjMVjOZTHn29zSX/d1NLXawAAiMrsa5Pa4th8QkbNUdVtgZ1X9AT147LbrdgPO0X50gK1U9bg6r+ZDrIWIMn/y9VwxmTwFV5lDZ9GzyRSR5md5d6nXBeU1lNuoxD7b906JwRRuXnumv1bVGAx2iX6Cywml+noOrGSVOVlaq/0gBhF3UuhlEF/DYtn4+zAoP8XOVZRV0x06Zz/PJKeZTq23CeVuKDOyC+EHMYz30/BFSEReAHaoKSmdoOdKlUAXLH+b+Lp0IxwQjNzYsETVBxFB05izl0kLJruIbKOqZ0t/jZEh0nRtkRwKHSaVEW+cL/pzY5CI09WuUzasnVN2CjJ0ciLgQmpUUBWRW1W1qAZN8P8RGDb/vS7wTjdN5xwYT6/IN5jhaTwRrPWaEl3RC1jU9iW185flKi1B+/MDezGovAy82yJyIBbB8hd68ym5DmBzZYyqPgP8SkQuwjKyVorwZhuEnY6jh1d/ABa5dQFpvPrTMBiILfzztlik2qYJ/lCgx9udWBnxQgO+FOJCB/dX0Qgs0rleI6lLgXXUoJqShnIZhKLNhqVoa7tOCUPyC5gz6duq2ldEXVvq44hBQIZrxJxaq2knBnUWg8D6OuaUq2CsbsLmUYzecOPtl+kFpMya4M2hvjFQg0Z6QEQW06AOUQPthmVR3O7XPyhWzyhFu2OK8WtYpP3v6V73DKz/nRTGNse59MO5gq2Hb/jff2OK2jOJtodqA0pGvaZSAy9l0KKHA7eKSKU4bY5F3cZoe+BoLLtoFfX6US1UCjeEqv4ZyzqN0TX+242KaN1I7vS8GLTajcA5IvIMAcxwjUqNb5XRMmW4vIZmmfBlYGAdyTWMRIywOVB1P8ICOOprNUwfLEm4bmyL7RXfwKBHF6Unj6WoxFiTC4V5i59/N/06wjQiwRyqurP/bQ0AqvQPzay7UaOjsP28Vc7Tspqi4T2+iQVybJHgreiX5NfuKzXAFOlMYlDFuxLUBxWRE7QGaey8R2L73TXAT7UXJHSIiDwQ4c+RY1I0J/a+NFGRIzfXwe0Ug5w6gUHIqb9h8srG9MNCTqMZAnhA9/Q+nul/Q9lzDlWN6hIxKjTylxoaJ4nIVdgauo8YrGHSQaTttWH71uuc/Yb+dy58l4Xm9XTWknHsYKvIvldtCSrpQPVAiaKSE9oS4FuTrU/H9Pcjvc3tmT4jf52K5pj3P8s+IBaAuw22Xz6NycKXYnrneCKyQQtV4/5+DDllHvqD1KdhQRt1uhWbCzu5w6qJPiwWiLqDiJzJ4LNO1YzfWVV/EfA9507uAb1GRE4nDrW5Q+1UV8dQGzU5xhv5RWRNLOP/ZbHa26tgWd19ulNHuQHKaygPJ9WfyfyVQwuGnmlK18vSTyRRZiL4jQFo50B3FwZhJV/Csier60/0f49T1b+nfifyu78SC2Cr7DZ7qepTDfxta1jXAJTSmu7XiMgXgAuHy6b4n0IznVpvE3LFYkcGaxjVN5QZ1oXa51OBXVX1Ju/fGEyQGao9pFbHaSTwTVU9suC3uiiBKSrdCOvOu7OwyPYp9KJWlQTmrOZhsneNSsiimqJYUYXhPYp4NGwp/dgdT9/GDGujaVbQFgo2lOr6LZPc5U6ENmqqIRSjcB48hqVQD9fmI0zfHJhFVV+vPqjq65LGWp8Di5itDBxfwN6nFUVkHVXdA4YMute4MJSblQjmiPkNFsn9NSxTJiWUbIEVKX898X0fqernap/vEJFVE+wlBmEox6tfumY4318Mdz1FqUjNGJXiQkM/Jnq1Ru4YMmj3wt3V9Skj81jMuVjRaAz+7NPh5Qxi+A9kbEpz0VgwQ+PjmGNFsJowS2MG69MwPPAS6svEBX4oIq+p6rXev+9hSvgJ9QvVoiaPYNDoHKPtsffhJ6r6sFh25Vkt1zRRbB+bF8uouoP+uoOxjKfXfJ2wxqzmSZOSUmVi/8T/n26aDoWxjerRvy9i+90RwMkNc6s4e6nEwAugqrv6vyeIyO8wyL9oFqaqnikiE+kZ3DZVq88Yoz+JyINYgeGwvSpqPVYDsijjKYNyZatYYNEmWODPt7AAl7mBqKOgbnyjHWe/jepZj2EG4QgsQOO8+kUFdA2wShCwMhUrHP9b+p3+RwT/nw+cLyI/rMlJ/R0vRx4YosCg+i8SYx2hEmNNVhau9+NRYHWxbOJVsfF/QFVjmV2NMl8seELKa91AgZwnFszzPdprynZFZGit3TcdBpg2qr/XZ2KG12P985ewdzpWD+oeYN+E7BCT3VrlmKFOeb1b/zgSy5JN1tNy6uLIDSnq4HbKymJUQxa4Wywo62W1jLEqo2321A8X6p5nuTH6cvrXmKSu12Tkr/XjE7Hzqnpj4pIdMQfAVFV9xWW+6QnKLdXhz1LVVYAKxaJvv8Zq3aToShH5KgZDljOOw2mrgMF7zUa2yKA2R73Sv27U5fyQ9zUG6/CFsvU7VPUaERFf78dJcwZbG9XHZbjnWGgfuBVb3z6n/TVxJorVnS4lBVALIr1ELGAxJ9trNjG0hDVie2Bt3zsBkzuWwtbU3BpyI/0ZVYEoI0lnHl8e/D8HVmLjb5F+zSg5v26bq9AKUufCunvHYzaPFTGb1SnYM14r9kNSmGnoc/AZbJ15EHuPHsy/tWGltyQIdhSRJUi8+wX6SVGNKW87NwgslGkniMgjmE3pQu0PDkvRCCwjfBZgGRFZpr43NcmQYkkK1bvUNQCltKZ7lf38loi8Snv280xymunUevvQWVjE7PqYIL817QX6mqhUUJxQ+/xW5dACUNWbRWRAkXLHzlbYy55FbUpgPYKorbnc303QR7AI58Z2ROSTqnptuHhKfzb8kAASRCWcpqqP1dpZcDr7K/QriotheMyCRQj9lfJIo6rdIdIyWDvIS0EOqdSJ0EbTMw8qo9SVJIxSIYnIRsBvKydFhPZSL5qsZRG/Ff1dRDZW1Uv99zbBNvUYrYDh91aK9PGYkjSGnqOzSon+BZ4SnVBaYlQCQ/lHbA5Gsybq5IajnalFqmICRB8VGoTBMmlG0osqn5/mSL9XRWSMqt7s/GtiRtkoaQ8qcjT9UbYp5Xgees7m1khlbclIqvFeIJZNWTfAtRmEUlRfC0qUyaKMTaz+24rB55NEZIqq7iUiTU6/FNX3vY0xSILvYsbbZakFIYjIeaq6Rc2oVpFiz+0oDTIfVfV+EdkLW39R1YcxpT/eKZE1VXVCw7lY1P0PU+1F6AYfr3eIRWjvihluUv1ZA1P8RgGLuTK4S6AElVIYNTnc0DT1Z7IVtr7tCuwkIrcAN6rqNZFrS7OXSgy8UYOgiHwiZRD0Natp3ar4tnJZ4ffYHM6h4oyntm5k8sVkzR+p6l7YmnsGgBiU9V51RklAsRHPWsmher/DyOI3gUd1sMBzCVX3Wyn1Mai6lJEh6dBy6ow84HvWOHrwetVvJt87d2hfKCLvEZHF/HQqc+9RzYTC9P7siAU4XOv9PFZEDlDV02qsGw1cHHSRSPAE/agQc2DvZxOSAJiT6goRuYF2Oa8K5vks7cE8XehlN9RW8slqDGb7dc4AaqH63FxeVZcLPl8nIn1rlPQyVu4G3l/TfVDVuzQSIFUix2BjXdGbGOxx0nnn8t1PVXVrMh25hQ7uUsipqzA556X/x953hltSlFuvNQM4pCEIiFdyGq4i4JAFBUQwEETykJGMwiBcDKAygkoykJQsGS5RchSHNICEAQYBURi5RgxcBASJvt+PVXV2de2q7q4+++D9YNbz7Oec7l3dXXvv7qq33rCW257V7ftwpn2rtafDa9CcdUjQ/6wz261TjwKwAPTs1TnVwiD2GCg4+QDy1U6e9nX5+D7oiNK1W3jRs6E5zgd9t4Xm8FzgaYL7G9JTZr/HAfsq/LX8saXMFk3oXOnSof2rVKLkr0l+AdL7nKPwfCGOi7YNejY3gvxhs6M8cTU+n8e43DNnZlkbvgbx9/iks8UXQ3Uejte1e0Hro7iyy/c39CkdD+B4kieZ2d7ZjvRXkd8I4CI3jgFytifZfCxKjCR5ISQjkbvW6pCd/J+Q3TMaCuoPynG/E/rvi539Pu9jcXjDzMz5Sk50Potk8oRDUaUhyUOh8XqcO3ZmiLayVOZl6JTDaHsIgDudHUOIhn2P7MGaC0JZkFS1fMkYVoohm9bMlqESl7eBkiofg6gTz0sd6NYMW0P6gN5/Y5CPIUQrGzJIQLnA6hk4YhwGaeeFTEHfRcJX5a4zIgUN7wjY/wFhrxmv4b/QEyL0ws0zw4m5dzzfztH2uyCD72Aom+YbkOMhd/yxkJNkHSjb4UdQZnRKvPkHAE6EBtekwHNh31uL65a0de0vj7YvgaqMmo77pvt7ZuKVFNOEKJIuRCDq3Ka/0GJoXOa9DYL/T0MgqAvxeZ+SOe7cun0IxBjd9jJQZtAv3PbyUIZmrs9eqPN19/qX25cT7Lwbop7z22sCuPutuGdc+1Ds/NDUq+bY86CFyNFwIueJNsfXvRr6tiTEn++dZXdBQcBU2ycQCI1DAZMn4s/otosEod0x97i/N0IZqx8C8FSm7crQ4qZR8Na1vwtaeG/l+rU5gM273gPRubdz1/8DVNH1BOqFQFeEHDZPQ1nmDwJYoab9HgCece2nQxmc0zNtJ7hzngUtwn8DYOuG/o+BMn0uh2gT90dGEBjK4jsHykQ/FApmnjGoZwmiAPoJejRvlwFYKHNso2hs9N7d7vcf5V5bBffcQ8Ptu9u3AGTIn5m69+HGf8gZnHqtBOCX0TEbu3vqN8H9U3evD1REPnGuUVCA+BIAl7r/s885RFO4MKrjYN9vF7y3UmLfRsH/4bx0J0SpM819f5NQI67e5Td1+5eFnLv/A3HHp9qUiqU/1mZf8N7VwetmyDH9s0H9ri2+m1oRaajqd6Dfe5t2mX1JgWco2LgVemLWM9WNGYPqd9C+yO5IjI9FotMN547n7ImJNhOD/8Pn7peQDbgAgHf7V8P1NoEyjl+C5qU3IS2/VNvfQpVa69WNLUH7J8Lru/48MYzfdaeG9x9oeP8maD79JhrsPH+u8J4FcF/XvifOPx5KJHze/f0VpBuaajvzoK7rzhffv+cBWD3YXg3SSgrbTK55Zcc7FNgxwfeyH0QJ9qEWn+VOALO0aPcu93ft4LUmMnaMazsbxByxtNt+b/S8zRO177NXUvuC91qtPV3b6VB1X9vf+EkA/9nx/lgYNfMKBjznxfdjSXsUzteDfg2z70+0uXeD9mvW7QNw8FvY91WgINZCkF19WTiGJI5dBvJX3AQlOfysYdw4CcAPATzutucZzvgb9X0ZaB5r1ZcW5z4x2m61roWzEQDsMVL3I7Qu2AtaE1wKBbVGtTzXOABP1rx/P4CloLXyaCgwdMQw+u7XfRPc2PIcAj8CNNfckjn2NihQ/SsAC7rPXbfu9PP7I/G+TPuHoABSuF5K2rPuvcUT+1YJ/t+54HvZILFvAUh/b0MogfyjmWN/5O7zXdzrBgA/rLnWQJ8Nd84HM/vng/wWb9Yc+wTc3D3IF4Cl3fPwGDS3TkfGf5P7DLnP5d4jRHH6dbe9MIBVB/053o6vf3sHZrwG9EMC97q/twNYzj3wfQ+ZG+yvyr1qzn8DlHn4Jag890BIsyTXvvUipk2bwu/iQThjrWlAQyLwB2XGbQvpnewIYMea73EyNHm2csR3+Bz7QFRaS/p9Dce0dpYiMWmn9rn9sbEzGvXOutugjL1WTs8O301REKHNdx1tfw/AB2raz5vYNwekudLmemMhA/EeyDG/B4A5g/d3cq9ToYX3vu51O4CTG869eNwfJIwkt39XyBl1JhQ0mQ5gNyiz7ZiorQ88vgZlNyYDjtExG0GBsuXcs/IAVF2Tavso5JBYF4HzoObcxUGLwntiWYgy6QtoucB3v+vYFu1+jTInw3shB+ImABZs0f5iqFJhXfc6DcAlmbbTor9zALhjGN9b/CzdDBnEM7nXzgBuzhz7fSgLKwxSfbfmWktAY/HfoEz4q6GF0qwIgt4FfZ8a3OsvBK9XoAzqxns+c96VETi/3XMwFxrGR6ji5EAo4HhA8JqEmuBK4jO8Ajmcs31HTTJEou3P49+6rj/QHLZcsD3BnyPRtmjB2OF+vAxy2t0ILezWRj7gux8U2L4OWmgsWvdsoIWDt6GvtQ7BQb+i3+89bsy43m2/H8CuiWOSc0nT9153bwT/7w0F1V+Cgpr+9RsA52WOvy/xWTrPDW37PYz2sS01sIB1y3PnnATJ57Hheg9DwSafVLcuMgkRkJN/KyhA8TSUyJYdoyHn3izB9iwA7hrG7xreZ+OD18qQ465pPG1tv6JFMg96TslWz1Nw3GgoGD8TVF29HGoCVyh0wLT9bMH245Bd+LR7/cvtewQ1jruW1yqxY77hrvlN93oYNYl07phzIFrZryOYX3P3DhLJfYO4H932FATJnFAyTDZgjoK1J+RknK2gb1OG8bmIgsAQhjnn5cazNt87CudrKMFlP/Sc/F+oe/ZGoO/hHHcZgAW63m+5fSP9vbvxK2vTZ459GLINVnXPxUpIJEolrtXKPi383kv70squCtq3sl2CzzjI5LaipJhov19v+L+/Qk2SKaTbDVQTP+oc/X0Bqcy+RaFk+rtRTUIYj0ySFhTIOgDAR9z2Ikj4/YL2d0Hr08vdGPBZ1CTcoOef9b/Z7KgPak0F8L5ge23kfXNrQmvsX6EhQda13w2aJ5+D5pB/IuNvhRKdGGyPggsUZ9oXPRsl97n7fyzkF7vefd6jGp6969HSJxccsyHk584Wb6Aw8dJ9L/ME2/Pmfk/3/kCD8u+k1wz6wbcPTiU5D+SkuQpyTKboh7qKNC5kZp9s29ha8sQ7CoirrExTq/HyUEXLSuiJaaYbmq0e9actT3mn79FRUGyO/tLyFNWXmdmPSD4M4GpHV2UNl5gETSi3uhM8ROm1pPBHkl+DDHtA1SkVDmSKs9/TUnkqIkKBjVNr+jGbSeMo3FdHBXIZZPjdYHlaviGY2UMQB/JYtz0cmiRA3PohHoeeqZmggM+FFtCjWEATR3I5qER6Xrf9N8ggympbmCitLoUcyftDRtFBJI83sxPMlXOT3Bty/Lzhtk+G6AHrcBm0OP5HsO9S6HmI+3EGyevQ0zM42Mz8PXBQyGdsBSXRJI8y0UfN6r63NjSUL5toEtriGpKfNrPrCo4pwXyuT2eSnJ/k4iaauCGwp4uCaD+APAUlVKlXq0XEqsg0IO0oQDo5/2H13PmNlEABPE3iy5SY8LNQEK0rYira+c3szGD7LJL7Z47dHT3RWEJG9Esk90SC/sbMpiNPHTBEfUFyS5Noe99vGOFpd96Blv+b2f2U3pLH62b2fDQ+psa9WaC5fCZU9fVegDLs6q451J660GcArJ5qS3ITiJ5oFgCLk1wRMtJz1HW/cxSERukwTUQ93fEWkCbQtlBF9o6oaqyFGDQ1TUxZdwS0eH4z1TiEtdRrCqgnZwZwFyWqbtCCJ0fHlsLvITqWtwqhPXEWNNcd4rZ/BSUyxTR+l0LC47eY2Xo15657L0SooXgBtBA9AqJ69HjR8tSsbajYhkDyXIuE1aN9bfvt0WST9XXBXXOkNI9AUXpvCz3LVwVvzYm8ZupkksdAjpqQXq9unnndzJ4lOYrkKDObTPLYVEMTVeHFAC52a5XjoOSn0ZlzPwng5ySvhL7jzwCY5ufcmrk1h3Cw7aJ1cx3JDaxKW5RDG03Zr0LVNpehgDLSHGW7WzO10U87EwVUSQBAcnn0r1E8BU88h7ReF7q5Ym8Annb1VogdIkflU2LHbAcltr3irnUktI7r07EK8JR7jUJvfk09zyX6NW0R00LtD+ASkn907y0IUSflMKngWi8BeIjkZFSf7f0qHep9tvtJXgTgiqh9Sp/uBFQpGVeEnLJt0TjnOT/Be1C9H3/r/i0dr18bxnx9kjvmR257B7dvt8I+ePTda5T++NJ+3QE5Zb3NGn7WIwA8SPIXqP5GFZuN5BpQou780XplLPJjL0iObrCRYju/CU+7/r3pPmMJ3jCzOq2zGKX08U0I7YXSvpyFdnaVR9t17bMkb0L/HA+g/z5oifh+3Ak1FH7R9UrXTC9TOtUPUTrzf0JiXnLrptkAzOfsBj9ujgXwvkQ/hjQ5C/ryIoDj3L25DJTQemFN+4muT/sBOByaV3esaX+xo3Ccm9I2/ByUoJHDngCuoKQqxkPP+qczbc+AbIsH0PNZ1mEiVCl5j5mtS3JZiL47hSehAJ/XW13Y7cuh9NkoxcPQnHSYtdOdexm6v25Bzbzn4fxrs0G/5+nQuvXeRNNSTcCR1nSfAYcZQa23D85FL1ji+U3fEzey7iKNd5H8oJk90twUcE6GQ1HlYj3MIlF266Cp1ebykOF6KvodBv66yUENLXnKraeJ4533vYuLxzX3PV8JOVweQLMmEd21ppBcD3IILNtwTMpZmvssE6Df6Cdu+3b0OMPhrn0EgCNIHmFmX0V7/I3kkugZlVtARksOJ0GL7RPcwH+mmT2Ra0xyImQovgjgNBcA+ErO4cAGjngz+0XY3sxOB3A6yXGuX9NITgFwmplNjk5/KpTdOdldax3IYEly4TsH8i5QRck5UFnxX0jOBmXTnhA0nwcy3rwjag63L3XeZaHM3bmihfdY1PCJm9mfoPsyhXNJ1i7YMk6vT5P8CnqOmza4g+QRUFC+jVNtIoCDSb4KUVYOTEyT7TmwvSE/DjIU/eJiY6SNIY+vQmPqz5E3tr7Xd1QPhnru/KkkVzeze9znWQ15MddrSM4NBTWmunOfnjsxMxo2ZnaG+wxfiA55luT26C0SJkCBs/4PVbgwYkZXzfr551s5EM2sz2HlFlJLo6rvlBNBr0M4Dj/qnGSjKQ2p/aDsv7g/t5G8E6KW6qKv589j0CLpUFSDBR6Hon0yBKDKhuOgReUfoWzxz9dcfzqlmXgFREO2gZnlNOdSC8ad4kZMa5iF11ze/Y3nhMWhauYXqaSO8QC+lRpnonnmdKji4itQ5nuIUM9lHihwB2hO/XuujwNwCA4S85nZxVQiC8zsDZKpRfIoSvNhGSaC+j7Y4INQJC9HL1O5z7EUOcnNzJ4m2XcvkZw3E9g6ABp3l3Rz9PyoD/h+IDrvaAQJHzXBs0a4cz1qZnV2mndMjoTmkQ8Q3gXZW/OhOo+8iIQmgsNq7m+oN9U0z/yd5BzQfX4+JYb+Uq4xybUhR/0noc9eF0jyAQcPb6N0TTjwtugoqNr9osLj9wbwXyRfg77nrL1h7TRlh+OUnELyRMg5OvR9Z2ylIgcMyR9DdOGxDkUycGNm/+Psb7/Wm1Jjs5UGBUrsmD9Cc/QrbvtdUEJEHR4zs4p9SjKlf9hav6YAlbnLzO5zNvw4t+uJmmCftw3eA9mdgKoBcnq0V7hXE8LP9jKqiSe5zxn+Hm9ACYDZgEfpnEdyX8g++TOq96Of3/83at8431B6kV2wilU1XH9GJZ12RWWh3rTuiD7r2dCa9hHUB2y6Jkb9mko2PdMS+sMJO99rrS6Gqi1+jvsb2tYPujHvElTHr9xzdDXJfSBfRbheys3Vx7u2C5D8NvQ5v5bo74uotyGH/AOUDk6XvrS1qzz8uvY1aF3rDuubZzaEbNdzUb9WLAa7JcWA5PvQr8mZWyvtAD3/X4DsnYUhutYYe0IB//+A7CT/zLwAVXvn+lKiC3g7gI+4td5NUPXu1tCYn4JB3/ui0DMKyOezfLKx2XcpreIXoGf7G2Z2c67vbi7Yz/XlFQAfN7OcJufzZnZ97lwJvGJmr5AEyXeZ2S+dnyuFOQE8TvJe6DOvCiU8XOX6uQkwpBEF6Nn4PPoTo5L3DOWoXMjMflfT3zDpbYk63yzJE8xs32CXr2Buiw+b2fIkp5nZN0l+D0qyi1GUeGkjr+k+Aw5s8N3PwP8nIHkDesGSoQnTzJKTHVuKsQeOo5kgx950aLDyE0RyECd5MzRRhFVA65jZxxNtfwBNDG0WaH4gfjXaN+TwcIu9SZDo7lFILN4sI2zoAir7OUd/I0hONbPx0b5pNd/LL8xsuZbnXtDMngm2Z4IG3axDleQZkJbVV6Ag534QPcJeba7Z0J/WBgvJJaBgz4ehMuffANjOLarrrjEX5PQ+BKLcOg2iHXo9avewma1A8hPQgvNrEDVI0mFN8kkAG5tZXTVBfMxoyFm5C2RwXQwt3F8ys23ivqT6lznv2RBFT993R3I9M7sl2N4FupcnQ8/cRwFMSt2/lMjpppCTLJzIX4TENPuc5k2gMkW8U3YMtOB62PVleYhCoC8jisr43h2a6MOKpKxhSWWRxjAzyzrVnDEVBxy6Bu7D8z4EObCnmtmH3L665/p2ABua2Ytue04A15rZRzPt74UC/ZUFafy7OsNpjTonQeb8j0PGs89mXQRy5L+BaNwOx1OqknQMZPgmg+4kr4fLPHTP4ExQ5csHM+0XhQK1a0BzyV0A9k0ZsiTXhOg3XqICYeMBHGu9rNy4/V1Q5WI878WixT+FvudV0S8Sm3UgUgHdiRD3/0NQpdPddfdkDuFcQQWwD0HPaXQjFFh5JXPs3annrOF64QJxFPTsrp15Xu+AEj7oAAAgAElEQVRxzp4H29zvBX2IA08LQHbKq0Av8BQds6SZPRXvT7TzjikfADnX/d3OnTsVvBv6XFS28LegYO43zGy1RNtwntkTqn6vm2cmQg7ay6GxblMoEeKETPswWPcGgKdLn/XhIPq9b4VshptNWYKrAzjKzNaOjhkHfa79IT2+CiwKvpL8ODSHrg45sc60TMIKyWvMbCOSv4Hum9DpZ7F9Ghw3EzTeERlnMIOqc/TmpKGqcytL2gnPO/Qduu0rofEtOWYljp+5znntHIt1WZ1N1VQjBpKzQ5W+o6Dnbi4A51uUvObaPg3RRF8MsTNkg18jgehev9/MVm46ZhjXWgIK+q8BzTt3A/iiqbLYt5kFPadkX1Cnzo4psZXcHLkWVGH5M8gBc6SZJR1ZJB+zanVULUh+A8o89g7pTSGKwL4KqQ62cokdcwUU4LkZGjvWhxKLfg+kExkz67e+fcF7u5pL3hku4us4m+AAAIua2e5ujT7OegHS+PitoLnrVmgc+wiAg8zs0gH0rS+BgJkqdzcGvGKuqsetm95lqsxMnbtoznNrt9VSY0qmfev5phQkp0K0oU+57SUAXJq4hyaa2XEk12z4bCdaEBwqWXeQvM/MVon311xr0ab1d9R+TogK3Fd2/hhaRyZZUZhhuck8d2fG+1zbOBnNt0+xK2TtAXfMsnD6jRBNXXbtT/JwKAnEM0RsB+nVfSNok7JJGvvS1q7qCpLzWz7gUXquB83sQ862XhyJinmINq+vkpxK5t4aSswNf//c2mqimR3XtC94b9+cHZ1p39rn48diKoA+q5kd3TAvPQHgIPSv31s/X5nzXo3qeun90H35nDv/JkFbP+ZsBVVctqqwJ/kT6JneHwqyPAf5CPsqwagkpCysl9wfPxtxwkbdc/pIzndQirq5O9P+MjPbPNj+uZmtRvIeKMD6LJSktpR7/1wz24Hkl6DEnLmhxMu5ABxtLvlmAJ9jO+hZGg8lL2wBUSm3TRB/58L+D3AgzngN/4VCvSK05ARFWvh+6FXSH+Q5YScnXnUioNci4LGGqLKSmhso1FlCS55y1Gs/nF9z/lMBfLBlX94EcCRQ4bSt5U+GMty/DWWa3O/+z+mFzA8tiq5Dg6ij68fTrq0X+W3UDoO4g+dsaufavhtyIN/vvvetIWf4rYm2Xv/nOACfdf/X8TEXccRDlYNPAjgFkUAjIu5kKGPr61CG2mJQgO0nJddr6MuCEPXOZ9BOT2mNAV475DO+PLx3IS2HSxuOv3JQfUmcO8UNnRSC7XDuUg7siiAplCVcx7Hdmo++pG1wTOtxOzWm1I0zKNSwQYNAdbR/GmQYrwA5QD8P4Laac7fln58FcnL8GlWe9bVRr9v2CBTke8htLwvg8o73lNedGQ1gcuGxJ7kxcQfI2N4MyvaqO+bM4HUaFERLajBAmc3buu9/aWjczWr3oadl9lcAf4GqKJYYzn0YHHMbVKHx3+73r50vU89Hw/3rf4cjAGybO4e/H93ftvPMNACzB9vZccPdB1lb4a14IRCRhhZQU6Cg4xSIJmf5mmM/VXituaAElN9Bge1dkNAjcc//IgXn3SzxWq/mXi8SI4d0J5eueX+5aPt2yPlzCwagswqNg94uvhvK3r4fCuS/jnrdnc2gMe95ZHQwAWzv/h6Qeg3nu4naNmpNRu0nI7BLMUzRcQAnBv8fCeC/oGSlef2r4fjW4t2QVuoO6OlIbo+8huD87m9rTdYWn3Wn4P9V3LkXguaCyxHoCCWOPQNiq2h7rScQrDGgoHHS9kGgD+y2l0D9WF1ix+xU94rafgqa4/4MVXX411lwtl+mP1vCrWcgO/9yAB+K2nTSHERPs/oXbns21NtVDyMY46D13MNRm4vd30dQXadOQ709OyV8XiF6wKSPwd3rcwTbc2AY2neJ809GRgun4bhW803hOdeDAqy3QnbK0wDWTbTz9mKR3hEK1h2Q/uwRUOB8SCOw5tzLQP6Hm1A4nkJ28h8gf8fZAJZKtHkcga+i4XxnA5g72J4HwI8HeM8cDyUAt23fp7eV2uf29/lTUvuC94rsKnfMJpDExXcBbJRpc6z76/XdK6+ac4+Gqp4W8a/gvdo5sKHPlTVwi/at9T7de6mxt+5+b+3zgWysNdxY9gG3r07z6M7C7ybWaH7BjUs/QbBuQmJtisw6FWm/qX+VPNebINAuHc4LmvsPdJ/rcqgCb9aGY86GKmAHcf3S8Taeg78OBao2B/AMFFA8LHj/MffsPOzGrHnR0n7s8FmKNd1nvGZoar2dUEQPiJaUFO49UFRyvzezVyl6teXRrzMV4iaKbuhit70FFCjqg7XU3wpwBcRRuwW0sLwKWqCm8KzLTPC0YXdAQpe/z7Sf1LIPRdoPrFa87UKyTcXbo1CG1E0kt3bnTWUJDcGUHXcIevzNdTgfWkhtBBn/O0FOyhQ+C2UNNlEmAgBIPgUZCHe4Vy33v/uNxkGZUhtbr1LuIqpsN8YDdNQtAL7qssrqynNbc8Q7TIMyI1LZxKtG25+DhKkvh37jO6AFVAVsSXWQwKvQ5DoGonxaxtJVXl8ys6MBbEvRB8Tnz1FutsW4cHwxUTLUcuGb2Wfq3g8rUNhAa5dACTd0KUo5sM8BcK+7j71+0Vk17a8nuQe0IGkq07+F5OZQMCV7/0SYCYnx2syGqNBILgjRx81K8kPojS1jIYdKDkUaNpDzKM6eSu0DxMltVNXhiSbNt11rzt2Wf/4MU4bVaVZWyVdC1dCEHQDARLn7L5JzWaDT14AxUNZYmIlvqKc9Ot2iLGGqEi5FUbQvNGe8CtFE3ghloOVwASRk+1m3vY07rlLtFNgPq0MZb76ScSzkKOvLbDSztV0VwyqQ4PO1JOcws3njtr2P1cuIpihw6jRj/uCe7fUBHEVVJ+bal84zRJXX/k1k5mx3HyxKchYzey3VpitYSM3osuv94rm24inAXSS/j54+zm3QArDvnnbjxfbQM/AgZHusBdkc60R9M5LXAmibvbkr5JCY7LbXgQI+i5M8zMzOjdpfQ3J2q1aDHmf5LNtFAJxCcjF33tsB3GHS9YRF1MVIa9kOB+ZtZIpaa7yfhyk9z0k1xx6N5mzl2d3fLrR+/rtZHAq0Vb4b10dvl3yL7H8UauyS0KYfAzka6nRZa/VqrUqXtTX0fOwTnSabUQxl5v4LGoMPB/APaAxMVUvMFt1355E8KHPe97gxZl59DP4VCsLE91UJJsLR0JvZfdCJR0EsFC82HHsOpP/wDFqwcqCM9u8gSBfLV6wthoStHKDRjvGwoMqdopFa2MxyVJtdqT+/btLmXAtiAjkGqlYN572umoNLmtnW3nY3s5eZemB6GGVVusFn0T+PTXR/N0IZvgNRSW0IzQfnIE/FNcYC/V4z+wdVdVZB2zkpgekAbnVzQmgrZzX1SuabEjifydKoUkSm1sSPk/w1pH8b3oNNz1LJusNXB1foe5Gni70EuldPRwvtHWcTbAg9n4tBFHfnQxWB10FBshC/gBIw27DcLB8+wybNmA/lGrNXxbiIme3BhipG6Jn+mrPVfwJVmOVoSwGtabaDEqkMYovJVRLfhf61S2ofAFXMuIqXVnYVpQW4CvRdA8BEZ9/GleR+fmmt786WVJ4k7zSztRI+izoKv+kQ41Ktj4gdqQ2RHntPQrTmYAddQKhq6atQMvKjVAXm5EQ7j0NJng4lLrXxJx0LVQxfAH2H20BVjVOhCsh13PG+8mlxAH+ynj7krIjkZDr4TfuQWwt3/P0B2RwvoKdDvK3bV0czvRqA7Uj+D/TMNY2Rg0RlPjIzv+a9jOQ10NwWrmdOhn7zJdCjwrTgb5392BqUZM5/m9kPB3G+dxJm0A++TUCJ5y4FVQq1oQcspaR4CKIvWgwyaK6EMhqS4oVuMJwdvYlzFHpGQt+g6IznD6BKI3ZYzef9PMTLvxiAPS1DrUbRIF6AngGwPUSDt37u3KVgVdh1Piib5DdRm0XrzhE4/+Yxs+fc/74kemso2LgjRGXUZzyxv2w5Pn9fCTjJB8xsJQb0BsxQGlCUY1uGi5c6OAfDapABvCZk0E0zs89m2vc5ppmgmQze81zs083s724R877cIpYt6Q7YK+lOwtK6K1tagpc/3he810h1ELRtTX9GcmMzu5pVeo+w7+Gif02TVlv2O3bt7jGneULyQugZDilF5zCzvgBaW7BKCVRKa3efma3ixqbVnOPjUTP7QKp9h76tD9HDEcCNVsOB7dqPh+53gxx7D9a0/U1it1miTD8YS9+EqtEatcPajNfuPtnZtQsXfC8COCtnoLvPeQJUqfcLOA2b+NljT6B6f1Q1E8dCVS991A4kbwNwA7SQ/igUgHm45h7w302trpqbHz8OJSKsgyjQYHnO7xKqhlTQ+nnouz3QqtRTV0JOiZtRpdwdbuA57E8RtVLhufsocVhP1/Eg5Iz3gdBREHVpai5bC3qOPgJlzT0EPU9J4WaSK0ELw7mg3/U5AJ9LjdWu/WyQ7fCImf2a5HuhajAf4Ann4NJ55gDIceZ1KjeFnqVjM+3PgYJ7V6F6H2Qddm3ADtSMJO81szhho+4al0HPv59XdoAq4zeL2oUJK2dZQO3MDA0cRdF7ojmHfEM/bgSwo5n92W2/B3LCTgBwu0V0z87JuALkyDkLcvJtZQ10QM6xsDsUbHmfmY1u6tsgwCptad/8VjfnkZxiZrEOZKrdaCjg0Unbtu67KbFLWlwne4+ygILd9Xcf9HSg7oAqU3M6f6E9HtoslTGPPW2JL0PjkHeSbg1gnoRj0q/FDrGqJut3zCypydoGUR9XhuwqH7R8HhofH8gc+yTkQG5FrcQC2j+SY6BM7vUgWuv7APzA8rS7rdedFM3XJlAg7AHIdphiZn26f8ExtdSfifaenusIaP64gP30ow9CAYS9kdCKzo3t7j5Yz/V5PJVIemHN/X4MNIb5eXFraI315Uz7BaGEPIOq7Z9JtQvabwpVjs0JYHMz+1Wm3RSIbnWq214ZwAkW0RzXzEnbQzZbji740NR+y2iMdplv2sL5Hc43F5ChgqcTzOxHibYLQslBfWvv3LPkjitadxT0/QEzW6m55VD76ZBj/4zYv0Ly+NhWpShRV4Se/dDRn/I9PAzJUXg7a16IkSFn518EPdM7mtlyzoa7y8xWbPgM80KJDttAAbGlM+0Wg6rx14SejykA9jezp4M2PgnwPMhZHyYBnmwZHU2W04pOA7CiOT04Nzc/GNvbQfvWNH4spPJsA/Y08t4H2VVxoCe+TxYFyqgN3XGNY69rl/L1BN1JU1y6Y2ezDG1q1O48qJKmojuZO3dqbUTyITNbMfPe/VCl4WtuexZoXkj55r4DUd+FY9KBZtanITfSYIK6OLUvej/pG60bI2vO1Xc/NLSPKYDHoGoX3gngpNg+IXmSme1d2r+Cfu0Ezedtg/Iz4DAjqPU2QenAQHIVqFy8FSdosKD7EoB/mtkJpQNITd9PhioD1oUcDFtAZfi7Ru3CxQmhIM80KBMruViom0yifZ0yExgIu5rZMiT/A+KTb3QkZM4XOjDChelyUHBuETObO3FcrUPGEhkZ7Omo3AhlVvwRopNbMtH2MrQwWIL2M0EL3bWhCeLdkMGyZ9PnrtsXvV8iStoKTGsVBKdPBpNKeflb6wpQ2Y2+GmlFumokixyHJXBG6IdNAc3WTm434e+NXmb+7UhM+IV9Ce93H6QK7/u+ZzU4tnXA4a0Ae0Gtf6FeLP2t6Evr8Zrk5hZpULU4fxsNm7WhANJeqGrvvAjgajP7deKYBaEF431mdgfJRaDFb11VcJv+7gfdu0tACRyttHqic6wNzZM3WKKyhgpW57Lx9jazdYK2RQ5e9+ztiv7Ej75FFLsFE5eBHNKLoTqeJrN+Kf78PqctlD3ZFyTMzLk5rYg3IAfGEQCuS33XmT7N5a7dtvotd55wTPJJB0uY2WHuflzQzO6tOX48NOcBzcHtlMPOrCahpwSZRX9yzGe5tmnqN03tW9ecw76g37+EkrQaszfjRbP7zR41s/fXfX5KC+gPpmrQuvn6a5Czaw7I1rwT+l2TGelUVeIJULByFoju56WcDdmEaD5slVjCXrby2lD2fGO2MguDmu6You+m8NxhZeYoACsBON7yiXclerUXQxnFPht+WwBzmVk2o5jkz6Fx9T53/8wP4CarBjR+g0LdlRJ7sC2iMWwagM+b2R1uey0AP0o9S+79Iv3G3FzmYdVkqtT3PreZbVn3OVraMd7puRtUpXVobo4JjlkTqnT06wg/zuT0ca6B7If1ocqMf0Jr1TCwWaQ5GBy3PkSr9X6IIm5NADub2a01/d8M1bnmJ5l2u0GJkT9zn3FtqKr2x1E776D2WA+iAn7a9T2lj7QyNGf80e16L4CtLR80bT0nlYJKQjnYEnpug0Bmfqv1g1AOaV/V1FT9XNKXImYLkpOgQO9P0MwOAao6vlUSq2uf9EFkfA87QvqWPvFzSwDftv6qat/+fjNbmTUJBZnjVoVs088AeNzMNm77eRLnCpMA70NvjH8BwNmpOdUdVxSQc+P1OtarmpoXkmDIjdcp/0NujJwMYH3LBI66oGT8H+Z1GsfeYZx7DYh2dw4zW4TkClCyfFzJ7ds/kbNDMu3vhtZiXu9wC4jaefUCOzrnIxrJ8fRcM9uhaV/w3nlQMto9bns1yPbYseE6YWHA/NDvkEr8bervzmZ2VkH7OCHlYsg/4e3rWvtkpMGWQfkZ6GEG/eDbBFYY1bZeBuw/UE//4PE6VTa8IwBvGMxcdwCVMbA0qk64VNDhwybh9mlm9k2S34My6mPE9CiXZ/aH+BtFMeOz2SZANA0VmNla7m8pBctn4YRd3fF/pCiKuiJcDA+JR5uo3j4CGWd9sF7Z8uzQ4i/M8nlX5lrfco7AAyEnzFjkqTc8V3NbvABlen4fqi5LZgaxIwUaM6KkUKAl1X4ZqFT9Pc6wXB7AJvHixwpKukl+CsCnAbyPKhf2GIsamhyUUR0Mkv7MY00Ar5E8NdF3ANlg5foQTVOnbO4WKKK1s17V3yRnrM8FVfl0BvMUkU3BbS+WfplreybJpFi6a5808iwRvHFO2u0ALG5mh5NcGKrsyzrW0WK8Jrm9mZ0HYDFWEwZ8X+qqRVZFLwAynmRf392YdBvJs+rmJ5InmNm+7phnoDHDn+O3CGhuvcON5LLuWchSfkTbxwM4nh0yrBIG9/ugiugYm0SLjlPd4uTLJA+O+nO2c3YsC91vT1h98OZcAL8E8AkAh0H3Q45SbBbIyTwTqnPjC9BiKoUiahr06CTiJIVtkKZhmE4FFk9y2/tAdCUpzAeNUR8FsB/Jf0HVqUlaN0a0Y3SMTdY9MBTOwSHl2GHQgucypCnH/HWnwtkDLfCYJap8i3pbD7I9NaNfRIffWx2d0T9JrmVmd7pzrwk5Giows8nuuouhGjBNBqrdeLcHEtSUGdzqHB7+e9zc7ZsdqgaJ8SLJr0IVAh91jtA6W3YzaD6/FqJYvNvqaZhPhJ6DSyAH2I7op2oqQVh5sQsUnPe0Yrej90yFCJ13L0OZ/x452tIpJE9Ey6CmQ+vvhoWBc8gR6ANEb0Bjbh0VbQkF+3JWzR6eTFXz1uF4yCG8AMlvw4l3hw3MbHF3P61hEfVrDaaT/DqqlSu5sbEtwjHsTR/Qcn28k0ocyOFBkhegnxo56bQtdFqWfu8l686ZqKrbrdCOfh2QI/OLiKr7arAVVOX7XVPl7nshSsUhmNkTEK3tNDNLrWOTMLObSU6F2BgI0eT/reGYy5GhIGY1OHkQpP31rHvv3RBl2o+jw+Js8GRgKsLi0Bp4EWg8WA01rCFoOSeRPNbM9meGhcQSFUBm9i+KqntEgloARpOk2VDF+WjI3kqCCvScAwUFCWBhkjvFfpBg3eFprIbeQn7dcRYcs4Xb/hU0dufo2n3wIbxf+2w1BoFNFtDFpoJXOZjZOVQ1ih/7NzOzunHgNaq61vdrSdTQ3JE8GvLNeG3Wwy1BWRq0nx+qNF4M1bnpc8H/ZwM4mw1JgO73DcfEUlrRI6AxeDL0+38U1Yomf50cjd9YRDR+wfqumMqzCW3Hf5KXmdnm7E5t1zj2Rtfr82vAMWeY2ZXR/mOhtdVV7jM9TPKj8cEB7iL5/oZ7NsR2UCXgj6DPfA+A7d09/YVE+7+S3MTMrnKf5TMAcnPBaAaMO+6cOZ9fKWJWgJmg5KIcVoK+m9+67UUAPEFHPWvppLShwgBoPJsZCiqtGbRpxURVEtByiKuau9iFI4mlIB/Bosiv92cgwIyg1jsUboF5EPorXXILzF2gjPtvm9lvKM7XZFaNO3+SNg1pB4l3hLxMVTo9C2V7VeACXqMBHGVmOQ2tGJ+DAjY/gAZFLxib6/euFmU6kTzSMtQIAF4zMyPpja3ZM+3awkh+zMx+BmBR9lfgNWVO3QLRbPl2s0JZf31UJtYrf38eqpLLd6o822YClEG4D4DdKGqN283slqjdJ6Dsp4Ugzu4w++lg5LEpCjS+IF7ygwCcAgBmNs0t3CuLH/YynJOIFvZdefm3hQwcTw9wp9uXwu9Jzg1lWt9M8jm0d/bVYSPoPvkE2i1cAQURj6Wq9n5sZr8cQD9C4/5AyKhckqI0mR95J3wFJQuqhvN0DUhvB1FveQ7sI6FxL7e4Dp3iY6CM2KlI6xSWaHl4tBmv/Vg1R815+kDyXKgC6SFUA8pJJ3VdQMuhpKrVJ0gcCC1C+6ilkHDEkxxrZi8AOITVCgDfx1y2aqPBHeBlkluhmo3nqxgrBjnJT0Nj0VPQM7A4yT1rnGBLmdmWJD/jAmIXQJRZfWgbTIzwhpmlnONJmNnide+TXN+qtDl7QU7hr0HfxS1Q4CJ17r9T1DcLQ/PCh1EfdLgSPdqxtvNBHcLfajVzlGOub8+5YOSg8FX0gjF1+7piVwA/ppJXhqgZUw2tnKN/LwDnuHPDnbsva7fDeGEkf2gZKqIEPg8FsvwzeQ6Ay5zjMfWZtobm213N7Bmq+u6Y3Mnd7z/WnX99KFj9F3OJUJljniQ52szehBIcHoR+1z6woVrEHC2m+/8VyJatTSwxszaJajFKg5ql303rwLkLDG1fEBgCZG/uTFVLNVGwTyW5ulUzimvpXczsfEp3eD137k0toVXmHOsnoqd504SUJmuWIqklwu/tNkqn50L0qmpvpUsISQQtZ4W+vzaBUFB0WkdAFUZhAmOq2qn0ey9Zdx4G0b3daWb3UboofdXgEZ4vDDy9TFEHv8eNG4CSTVJopTnI/gQdX+W4CJXA9L8F83iIMcH/z0LrEo8XkU7uPNv1aXYooe5Nt12XHOm1buaGxtvvIqF1EyCckwAlHqTu92LNIIcuGrRtcQOk83yK294T9Yl03wewgQt0er/LhYgcwx3XHfOZ2cVUggbM7A2S2XG1yWYL4J/HNaFn+iK3vSWURFpB1yCFCwi0dRgfCn3PC5M83/Vt55r2T0GJBclAAMkPmFmo830lNO7+FA1zU11Ay2FIz9ChKCBnZhdSVKp+ffdlS1OF3gWNFfOhug56EWIwCuHvr9+61yyoCcaOELw90ymB3I29f4Hm+V9DiS514/sYKCAQJjv9BsAKFHvA/tH5fxfFGuvug9UBPNTS1oCJej5XJXhnYt9eAM53dgQB/A5K7EjhfGjM87SLu6B6/xXDjSkHQ8nmL/jdAF4DcGrNoZ/scLk2hQF+DtgMYh7wlVQTIH24JEpsa4diu3AkwGpQ/iI0BOVnoIcZ9IPvUFCcxiejn3++rYO76fytadOoLMUToMXiD6HJ/3TLZ2YX0WM09POrZnZEsH0dxJl9vtv+IYBZLc+V+19QNdr60MLucwAuMLMTOvZnKoCrzGySm6RSRmIdJ3CrUma3v7F6ieTFZrYVMyK/uUk8OH5ZAJ+CqDgWMLNZM+2KKNBYrvHVitqOHfiYGfDys1mgujPYQH9WcJ6QmmYFM3u44NixkCGxC3Q/nAnx/veJj7uF8E/rnKUkl7NAEJ0taO3eKrBHI2aQo6SORmwyRO3mea3nhhbVWYdgdPzcEG9yn1HIFloepaDLmut47OMA3j8ohwHLKDA70SqQvMbMNmKaHmrIyE0c9xCcwR189znavCWgQPUa6GXjfRGizFjJXEWLa/tLABuZ2ZNue0kA11qel/9eM1uV5O1QosAzEPVGljaR0pPc0qpc6/9tZp9ItJ2EAmqaJnT9ndyx0yFH4R3udW/deMcC2rGW1w/Hx0bKsY7X8FW+W6HnNAKUZft+K6SBa3G9RmpGKnv/UFT55A+zBv0FNyfAFDQO9+9kCsAWjxcs0NQaaVDUzx+BKLtWhhwMd1hCA9O1vx1KGDkdek7/BNGI5fTmfolEtUjqe08s0n3b3PhVkq1cjJLvhuWaLqX6CI0U7IEdOzNkZ/zWbS8K4JdWr/3gxbuT+r1R2+9CSXzDdqwzqGRmoqI6hKUp2IsptQv7dyc0bvwActztAmBU5h54HL3vHXCZ3JCDMusUrLl2azsmXuu5fUdC9KCXozrv5ShX94U+659R1VJJ2QNtNQdPNbM9an6nd0O6oknKpxyieewcAB+EnPcGMX5Mc6+++4bkPQA+7tdXJOeA5r2+5Ei21LpJHJeck9hf6dL0OSv3ADto0BZcaxSUjPNxt+tmyFeRdICnbMWc/ejea0335QIfmwO42dkmq0MJv2tH7T5mZj9jJmHT8rR59wBYyxxVHcmZobF99VT7JjDQKu14/LvRq2K8xxqqGBvOFWvpZGnuO5w7pjQrohUl+VkAP/PPhVsbrmNmV2TaD7HzOJ/OsgCu/3eunVOIxqPREEV0cr2TOb5I6sPdv2taLzA/E7SeWAsap0LK6kuhAPSJUDB+IoCVzWybzLlbyb2Q/JKZHc1+WlffvlZD2Y27aPJzufXEem7zZjO7sa59W5A8whI6oINEsLb1fo7ZoX8GQ80AACAASURBVIr/1Jzap4mY2he818q2Ho5dOBIguSeUmNd5jHunYkal1jsXrTKz2T2o0Zo2zcwOd/9eRtHIjKlzvkAZEldBGRghTUrSOGvAllAwymNzAFdRlEefBPB3qwkimdl3ndHyAjQYfsOGJ+xKiB7nAGhBFDpg2yyOXyI53nqivSshQQnk0KZ6ydPcbFT0IXoaXE9BFDk7QAKycbvtoSBiMqDlnL3vDR3CDi9D90ErjS+IhnJJ9LKltkAvI3II1i3D+WaSFYFqkneZWbJai+RCUBDXG2N3QFQjv8+0b0t/1hahQ/9ZSpuqVV/M7AVnAM4KBSo/C+AgSjj4hKjtmyT/RXKu3PNs1YDWNIgq4iIze6rrhxsE2KMT9GPKWUzQCQbG6vMAHnWBBENPLL0tXgKQy6R83S0C/L07PwIB944YcoKyF4xZ3V3jbgBfNGWXpfALKFtq2LopXZFboHvEc4GZbeT+ts1W9WhdiWtl2XgvmgtoOUxHNZM6xqlUUOrrUDXjHJBGRh3msyC7y1RltECmbStqmgJUUh7Zkv7VYSlz9LnJE/c7J0tox9og7Hsj5VhHdK3ybYWc85s9asYU3cx/Q3O1dxBuBwXcPp5oOwSLglkBfMZyl/FiNQDbkWyjqbUZgKMALODaNVHFhhnls0AL2X+Y2Vyp9gCOhObF46HgZpOzaAfIUf4F6LdcGL3vNIWSapFSurTW2cpuzuuD1dN4HgndM9nvhr3K2KtJ7oP2gfNWFRfsVeHWjZ8eRXZshAcAfM2tY5rEu/cEcACAN0i+guE51kOnXXFFhzVUYMZBhFL7FEr6u4UknVNvElXRlrqfumRy16FkforXekCvmih0itVVJ06EnKq1gX6HJa0acPsmlSRTgZnt4f7WJX/FGeWleMq9PHxAO3c/jQkdqWb2D0oLKIU/UJVL60O0i+9CnuJ2CDVr/LjSpQmVe8C6sy00wtklJwM42Y1rC+UCWg73kzwdVQ3Eusz/ErqvA9CO2WJtSEstZZtmKzAhjdSQym4Ot68rboG0kFqD/fTiYRXjItZdtzim/7uG5KfN7LqO5wtRmausnFb0UAu08UzMBYdCbC0p3A7gI259cBOk97U1dK9VwDSN2/PQPXmKDUMfuwTON/CE+w1/23wEgHKpj3mge9aPM7MDmNddO66U2wtaA78PSkK8CWIAyPW/beWsr+QurvYhuSGchjIbKNWd/di64rgA15Cc3cxecr668ZAExSDYgjwudvPH3CR3hwoDTsu0nZ3kEt43QVVu17FjtbWtW9mFww3Mt4WZnUJyE/YoMG8zs6tH+rpvB8wIar1z0XaB2SmogRa0aazJIKI0WnLG1hiIOiFceNQZZ3Wgu15ISbWb6/cUaCEyb83CGy6I1SqQRemF/diqpe8h1gOwr/t/HFTtdqXr58ZodpTvD+ASkn90xywIGTgpzGZm97Jacl3h2jcn+G1m/0MJ0/qS+HvN7C81/fg5gF1cEOTrrl+HQ2LiId4NBacegJwGf4V+36UgY/xvSPBJo1zj6/NQ2fSyJP8AOXb6jD4PlonwzuU+524AzjEnUF3TlzMBXAAtsgFpKJwJLQrjfpTQn7XFccH/JX3ZBMrCXQqieFrVzP7iFruPQY6QGP8A8IgL9oQB6FTwcWPoXr3YBZUvAnBxgdE7SLSlE/TG6gPQWOpxa93Jo8XFKCiL7+JM85FwrIcLmwugClmvUbYNRJFSoY8J+jwngMdI3ovq3NGncdASdfzyubZ1gs91VEm3mNl6TfsCtDa42YKXP8D9VFXwxa6/WwK4z8+FiaDc6e7f29DekfevcNFIZRcmncMdgn1NiK/Tiv7VvdcUsI2dk61ox5ignYyu6+f49YJ9rSjHSmGqjn2Y5AXWX+U7iEVTF8fee62XYARIczNnO7SBf1bnQ/l40VdNWIOjAWzc9ncJnZ6U8fMZyOGUa78RRTm5DIBxlEh4NrAVLPj/CdHKNWEyyWPQrlqkiC4NwPKoZiufhCBbOWob6nqOgWz+2u/UJwvkQCU3jUc1OesgVMeH3HjmA0NvkqyruLjA9TXU4BrqYnj+4ThjrKep4sW7j3Lja59490g51s2szf1UijiI0NomdHiVqmD5NckvQE7BJKXxgJ1hQLtEP48+O6Mp4JfA71Cj8xqhleZgpYMZ7UEz2yB7UM3pgnPU3jcMqgEdSpIji7RuSvrdEn33gFureIfgrdaj2h8WqOqo1gmMkP7h5wH49c4dEJ14fN46uq8+e5NKclvbvWqZLczsUPe3NGHzSPRrO00qPEel2x2OSdGLe9RS4zYgvmcmAjjYBTtex/CSEFKfcwxEzzwTgPc7/1ZS/xvpgHCdr5Ymar5dAfzIVBnUFzx3mA4FP73G/NZQMsgy0H1WVA1aiPh7mQdKBL0XVd9Azi4slfo4GvIt3Yre/fsdd9xPw4YuyJj1B3WFD0RYoXwHyZMhTfl1oYr/LZDx/VEVmicA+E8oSWs0gJc63rsxToISoFaAKP9Ph3w/a9ceVQArKwz4IkSdPB36TRdFv65zGAxvZVsX2CXFgfkuoKqeV4WoJQFpS69hZnWSLDMAzKAffKfCOYBimOVpTHaFNJGaOMpTx/bRpjkHzkTrSLM3KLBX8uppqcI+wO+Lvxf280eHx2WNIRf42AUyUjx1W3KRRNHYbGiO2s1lpVxrZnUClp4mwFfFZR0wFIXfF6AS7vFU9dKuZvapRNutIN2JW91n/AiAg8zs0ritaz/NzJanqowOhzhxv2FmfTzrzkD/GBSoeS+0eHocKqHPBjQonupFzPGV14HkSmb2gDNoRpnZiyQ3yi123HdzJoBDzGwFKmPuQUvofFBVjBtAjoFDTHz+dRQTJRSRJfRnrcQ0o2P6aOxq+nI2gDNSxjjJ9axfLw0k+zRWXF9qjTxKp+HrALYzs9F1bUcCHCadYIvzh0bhGwD+x/KZ0KBoPL1j/ZbhOtZZpYJIUaSk7otaQ9Y66pqR3NlaCrwyoqssuMYYaJEwGcA66I3vY6F5KUuD4QzuDdwxN+YMbko38A70Ux30VaGykOa0MMjuj/kkFMi/Db0xew9LUFOQ3BL6Hl4k+TXIcD/caig368B+epdW9K8tzx3Tu7SlAgmpJxeBnAwEMDeA34aBvYIA2LCQcpIBqHOSjRgo/Zd70QuubwElLrTVL43P522r5LiRGi/oqm5y33/qeyc5xTIUNAV9zdJluf6fA+Bp6H5ZGMBOOacU06wGPhv6W9ZPfZKiHbPUXMNyurQnoN/QUxnNBSUkjav7zK7tu6Dxbp1cmyZEz/tW0BjjE538GNM12760L7GOStfzrAo5Az8D4HEz60uwYEZkvsaRWXe9PipXN5/tCpfJHZy/eM2UGE9b26fuvVUge31uyNYfC+AYc7oUI4nUd1PStnReJXkGtLa6FtXnL0X7uAI0blQ0By1DTc6M9qBl2CfYQDtWYisl5utVoMrdSnKkDUieoKQvpe3dGLkKeg7BCRDd6rBptNijWtwNSkA5tG6t1+J8MXVia7ovOtqugmvNBVFn1mq8RccsCCW3GTRvpLSd2l6/MyX1oDGSfSF5opl9Idg+CpovHkWVsjQZvCH5Y0hn7odu1+ehCqOdM+0fhCjJfwD5bx4l+UjGV3Gfma2S2kfyUTP7QHxMCep8MiQ3sEDDqMQudO2LpT6oALt/Ru4zsz9G7ydpAYO+1NIDNqGLT8Yd5/1n/u8c0Nj+kUTb+6FE1EugBOgdASwzoPHO2/DfAPAHMztj0M8OxSpxkZn9oWX7d0FzHSBqwD59uoxN7ZG0rVteu4gSuyuopPgVzSV4Oh/pg13nmXcSZlRqvUNh5ZnZiwA4heRikPPldohfOZcREl4rNUndAgkhFtPsDXJB56/pv4/cwjs+yDpmYpoy7k+nKEx2ATCNog44zczigfg9UKaWx2tuX/7D9JyTv/DOSZLfyjgOSqqXDgGwirnqLKoq4acAkkEt9BZlG7rPdi3JFNUUTFnEtdVu7Nc+2xgKlM0CYHGSK0IGei7L5zSSO/pFHsltoKyPXAZfiQhvqUD1s1Qpt8+WmoCEaLNDSXZSqaAyIFrGVn0xs2SAyr3XF9By+8+uM3RjOAf11u71JoAvNR0zSLAjnSDLxNIBOThDh8R4kn+2NH2T1/L4Yd9ZuiPMmrue5FcgJ4ZB3/113rHsHcl+HCd5lJl9OerjUdAiuf9C+nwHoV8H5mPu71nMJwn4tl63p+KkYZpm7XkAD0Rz055Qteh/QPMX3fVeRLrC0J/fJ3O0yTyeLf5ecrDyrNmz4ILsbvtXUCVjNqhlZjdQGWu+CmV/y9OeeLH3tSC6uWMgmp2c2HsTno62W9G/tkR8n7TKzArm+NMA/MQc1QzFR79p1Dyu+vDX8PdNV1rGGKVVvq3Ablz+u0PPyLluezSUsb8numUte9uqJNjduuomwP0kL4Kq60NHc65aM2QGGAU5Aupod74PYAM/f7nx7ELkaaGuh+auC9z2NlBA/RnoOa4EQaysWqSULq11tnICswFYqKBvKYT33tecTbWW6+93oUzg5BhDkpA9uriZHU5yYaiasITWN8S5GEaWLcvEu8P5YgzkWHsA3SoLUpn/50K6g5+A7M/t0FBVV4N4fCixT2E93bt/QGuaCthfBTRIdKnyDnEWyubV37rXLO6VhakadwU2aA4Gu1ZGmfZgLe1Y24BWpu/3UYlUjcmRI4DSip64/adRdQieDTGEDEIbZibnKN8KvXtmOIjns74gFfNMAlNIngjdr2GlSy5J4MeQr2Urt70DdO/XUXmvCiVDARon3lIKLBbSjBegT6PVPUdLo7p+uz14v5WeYRjQctgUoiztc75nsC+U0HkR9J3fjBoqPKjK7KuQTfuo8z/knPpzsMresAh6VbWddbrduWp9MlFAazREd9haU8taVvSQXNYkd+Ln+t+5vwuSXDB6PoppAQvhfTKbQYkBnoZ0AqTLmIOvin2Z0g57Fkr4TsLMniQ52vnSznSBzkGMdy86H9j2AD5KVWTPPIDzhpgTwE0k/xe65y8xs+R3Q7ECHQBgUTPbneTSJMdZlJxeaFOX4K2sApobPerXHDX6DESYEdR6h4EdRUPNlbA7B/Xu0KLtWMjx0akr6E2mpTR7g1zQXRJtFy28u8BN6Mu6198APAzgAJJ7WlWY8hwA91KaR4CMo7MaTh86J9dr6P8fIKN2MoB5IWNhJ+g7jTHKqnSDz6KeN70Tz3oNYsqpSZDBfSsAmNlDzpjLYQsAl5LcFjLSd4SqL3J4iRKm9U7Y1ZGhHTGzSxDcRya+3zD7LtaA+RzkSP+B256ChDPAIUV/dnqqYaHzMNUXA3BXri8s1C5xx7QOPpL8OWQwXQJgS8trOo0kOtEJQs/RodD3uC6cWHpN+9Y86CjT8miLMPjiF7lxGf82SDuS14+OB4BPJfZ5XAIFSE5DRgfGJwmQPBwKdpwL3V/bocaYhxxBK6O32N4IEj/fi9JAO9qd/zgAx1EZZ8dGSQt315y/JJmjNS8/yzSmgIIge2JR57MT63QIwiSEU+uSEILrJKmS3N/Yviiif21A7MS6Fr0AyBgAiwN4ApE+RYDVzWz3oM/XO4c1gn2DpmPMYdBOMo+Qy79t0K82UYfllS5T3HGt5w1rqX0X9WUspLEZzud1dNRhUOkNKAD7mZrLzRwmZJjZr6hq+Bw+btVM1kfYy3jdPvgM25vZeTlnmSWqP0oX66bM2uvQc5YebL1s5UqgntUKs9EQTVGdnlYpWic6OfwIymz/GJRY9g8oe32VmmPq0IX+KsRTUBVPo3i3RdVbLiB3bMfrHpfYt5SZbUnyMy5x6AKoSrgL4u+ltU3YEsOqomzAkM1B8t1Wr3UVr/WAsuS1TvSPcTArQEz7WKo9WEI71gXj0EvSGk9Rpp0zwPPnMCX3BnsUvWHiR8ruHCmHYGkCYxP8+nIMpA0zn/uMIZPA+zLH+srJcIyuS3BopfHmwf6Kt+FSYHUZf4toxtmvwVU9wNm+ZlahG3ZJRROhJI6HoESwu1H9Lr195P1VXv6gyV81HVrXtgpqmdlLSEsu+L5WkgRc4O32YHs6enSXcfsDAdxJ8ino91gcwD4uyaWIIi+BSej3ySTtOOumqQVrJ/VxAIA9kKaurDwfVkgLWArrJYJ+z8zCRKSrqQqrHK6h2GGORk9zN+n3gQJfs0DJS0dD88dwfG0htgawLVQB+IwLgh4zoHMDGJpTv+nWwFsDuI3k780speV7JvR9rOG2/wDN6znGpXdDfpm1oN/+Tsj/1EYT89+JI9BP/ZodE2aghxlBrXceOomGUlU/a0KBqAcB/Be6L6IAOTW+6c59O4Dx1qPZmwQ5qnJovaCjqhxiPA/REVxpZt+J3itdeBeB5A+g7/4WAN+xXtbpURRVzBDM7NsUDZ7PlNrFmumgSvp/JVTmPhU9x2cON5C8Eb3szW1QL0w50jzrr5vZ86zqgWW1WMxsOlWddQWUabmBmdXx23sR3iVYL8LbBpWAnIkWq5X+UNvspBAsqBpq6ksUkCvSLnGYhPbBxx2tRTXXSKKtkcuINgRlYulAgUPCCrQ8gv6tCX33vjrKO5KXcOccyppr68AnuTdEc7EEq9Ukc6LGEQHgDTM7qc01oMBOSHt4EsmHkf8eF4Lmjn+4Ph4KzR0fhYzfo6P2W5jZYW2TFgqTOUp4+VtrTDm0DrKjYFEXoCgJgRmqJCgRI4WSBIomVJyTFtGsOMfGPjXH/9HZM6F4e3L+Y7kGWykG7SQDgCEuf0jr8GBUg491v1MdKpUuJCdCv+mL0IL7QwC+4scW62Usd5k3WvfFCqoeqYSiaWb2g8bGPdxP8nRU75c6h8Rokqt6246i8vLjRahZ6quui6r+GQiI+30WCYgnAtt12coeoT7WGwD+bGZvJNoVdTf4vzTRaTUXCHwQAMzsOee86YphZdna8MS7fw9pXgyBLamJLE3N66tm/k5yOagKcIGWfYkxNHe75+M71l0fcyBgmsJzCOZoeEI7BsA9zoY6E6JqsuiYeK0HlM2rnqHiS+h//gZRgVeqPUiSa0Dj0a5u33CSTMMTHwrRNL8fwHVQ0tKd6DZvVC/UQPloUaUL0zpWU8zsANc+vAeAtENwEFULjQmMw0DIJBCOzS8AODFzzK4WJf7VrK2Aco23XMVbNqjlxo/3oJro5IMWxTZTydzu4G3eMVCy28PQPbA8NGevkTluIhSousfM1qWqFCvjxTD8VS9DAYdbUH2uu1LblSYJDLU3s+ucf8BXSD1hTjca3ZMuPFI+mbo5t0hTiy2To8xsD/e3dQIQlWT4X+hP0huI3ACA2Uku4Z9XF+xrYt3ZG/L93Q35N3Nr6B2gcf8LEPvQwhjMmAQT3ej3g+3fYgBzQAZ/geyYZ5G3ZZY0s61JTnD9eZnRDRfhv6GAr/8+toOqwSoBM5KLm1lKkifGcBOjWsHMLnTznk/g+rIF1K8cEJX22xEzglrvMFh30dDNoIXutRDN1N3Wvpy6CaU0eyULujHQBO4N0c2hLPEVSK5rZvtH7QddYRRjGlQN9lLivT7qAed8KNEcKOn/Qmb2yTYnNbODnFHhDaSTzeyKmvYvIwiQmtmf0J1uCug3jh6lqq5GOyNtPyijtILE4nheyAD4OZV5mOOofQyqinkZctpdAVGTdEG8YFwCyr5d3fXtbgBfjBcorq2ners5sS+H0qqhOoQBuT93cEyWBB+foXRdWnO+/xsRLx5bi6U7dHFILAWNZYuiuTL1DMjAreg7RR0opfa4AApkH4Fq1tCLFmjdkJzHzJ4L3r+a5D7Q8xQu6lK6RC+R3A49KsQJCBY8CSyAagbk61D10z9dcClGUdICC5I5rIySdjYzuzd6LuocyD7IvmRTkL3Log4NSQiJ37SUKqkxgYIt+e0zzsmw3VSSdZXVE6Dx0Vdi3u72hX3pkjldjBF0knmcB/2Oj6Am6aMl+io6zOw4kp+AHBQ7QMGm2MnYZd5o3ReSC0GVJd42uQPSa+3TKDRlCE9Ar0q6DfaGKg29E+oOqIooh90A/JjSQSDkmNyNyoYOk1t8QLu2+iNMLGF7AfHiwLa1F8uO+1dHLxxXBJckOr3unKQ+4DA/hn8PdwYLxLujsWwUVFUR2/Fd6KI9TnXj0teheWEO5BM/ahEGEdzzsSjJWczpH/+b4AOsnnbLU6LWVfcuAzmrPgfgeJIXAzjLzOrs9tbzqsP5kFNsIwB7QYkZf61pX4d4rptUeHwJ7VgT4mrALQCsAOl47OICUef1H9YJZ6GM8rGIorfJIdgF7Ebn2+rU7njPJLCv1WgERbgU/XSqlyBPi7s3lBw3l7vu/wLYueEarSveSO4L2VV/RqAdBQWUcvZ+K7ClHpi3eUleDgWeHnHby6H++XrFzF4hCZLvcgkh4zJtS/1Vd6NX1eXRSb6iK5hnaFrS+UG60jiGaOWTCfD1wvMXJUexR1W3iJnt4frUR1Xn4NlETkdmvTxMfBHArSSnQ8/eouhnRglxNuR38kn520LBpK3ihoHd9k8AxZXEdWgbSBzmNfaBPtf80O+wu5k9lmn+mrM3vU24JOorIN9rZqF8zLdIbp1odymAldicsDioZMZGOJ9pPG54DItK++2MGUGtdyio0tYd0Z+ZkDTOTBmTYyHHwfrQouovZrZWdN4uEe9Smj2/oPsaegu63AS5PIA1TVyzIHkS5JRYC3L0xBh0hRHcdf0A9DCAcXFygZlNHZDzvqT/d5H8oDf8Mv2+08zWYk/zxnd8D5L/ggzeY8yszskzCMQOtX2hRdGrUPXYjUhon6GafVyCcyBnlHegbgtNJFt2OFe8CLoAotH5rNveBvoMKUdsKdUbUF41VAcGhnCRdolDiaHbhfP934X4N50IORv3g+7DdSGHRw6tHRIs0/LweN7M6iopgUJqDzc+PY8oAJDALagaXP57CMehnD7OtpCD5TjXZorbl8P5UID6Sre9MYALnAM5ZRiXJi00JnOwvyqiAktXRRRpTLlAzdpQtSbRQuPCOYQ3RP8cn6I1a0pCiH/TUqqkNgkUnSg1WaVvGwX1M1t57JwrE0nOqU1V+UVIabAB9ZnTxXCO+t3R/xt10QdN4a9mllsYlSIe8/x38mkA57pxLJXJ2GXeKOnLmdCc6ufm7d2+9TPHFmmRuOf9+wgyVms7Jo2hDzpHHCK77uI254gQJpZ82HoC4t8k+T0kKuY7BraLwQIdjQ6JTsdDgecFSH4bcrR/bRjdHW6QZkO0r1wIx7I3AFxoZpVqZutGF+2P9VREt2Fw+n4e06Fn5CpUn49W938CxdnN3lFHcn2rCrN/heRUJKh4XILFzQBuJrkuFITZh6r0/oqZ9dEMd5hX322i9Jzofr/bSN5X074O1ZKGwvvBGmjHgGFVA3q91zfcuv8vUAXAIFBE+YhCit7AMXlVYl9XhHS+g8SXgV7QAbJP+9Y74VxJVRF9AMBcUduxCKoHE+d4CDUabwmUUmBNhIIGI0HtVbo2HBf6NUwa4/+ZaQsAv3c+sSug8eM5ALkkj5S/qo7hY1uIhcTreU9w/R+YHdkCMUNTrBE7iKBW6JO5APLJZBMGO8x/pclRnqruw267jqquhE2kGCZ947BC7pfxOjLCcmb2/mB7MslkoIfkRpDPIWZlGUTgaSRYFmIsDOk9t6HOnQTgBgALkzwf8kfXFWjcRDE0ebt7C+i+jDGK5MEAlmGCDtx6enmdA/MDxltSMfb/I2YEtd65uA7APWiZwesyXT4CTY4rQ3QmqYz14oi3taTZiwYbP5D90P3NlfLOAwW9ng/azesyEvsmlQ4L77ZIZcwOXQbdBKRTmA/O8Kb4bwHpjw2BveqlmQDs4rJHXkVvMhyqXvJBS8tUIVDUHXehPnO5ESTnjSeMKEAaU069DBlQhzjn7ezWK6MP2w0ZpkxQI9SgtVHRAvEENJuZnRtsn0cy1rfoSvUGlFcN1cFQDX6UaJcAZYZuEef7/yVYoVh6G4dEgNZaHgEmkzwG+m1CR/LU4P/h6GTUIXbWtNYnMrOnUa9vE7c/nOQN6C1c9rKe3lgqq7soaaFlMseBUGCihO6vi8bUqugFP9poXFwN4BWMTJVOKVVSYwKFdee3D+cmH4C8LNeY5Achx8S8bvtvAHbyTgfXly6Z011wJWRH/RQjkyF6KEWdF1PfDMKJ8QDJmyBdhq+6IGHqPivVvCrF/GZ2ZrB9Fsm4Aj9EKy0StqRAi0Hp9oXbvn1Xfarw2SsSEGdZtnIXTEJLHY1SmNn5LhlnPeg72DR0rjCqHqXotB4ys5co7bLxAI7zNqBFOiod0bZyYW43hgzBBUKOC7Zz91efHd7XQMkYm6M/GD4IDbSn3GsUBlNRkNIEawuSXNMHBCkdx2QSiluLbA85jP8M2Z5XQc/7JdA4FR/zeQDnm6PyITkPyQmWT9LzAa8/UTSgf4SbRzrAf6Y4cXCoe6hxTrIdZZavBtwMSkLx1VYToO8oh/udk/80yDH8D9Rrj5agiPIRqj5opOilqqtnwwhUV5ujGW1ro7R9toOgf4ksxDgoWXPuqP2LkB0a9yWp3ejmJYPGs6usWonfpeLtd6j/HYeD0rXhNPZTBtdV9/kE00kuiDcX5DwHUJ1r2vqrApTqeTeh1KFNcwxNULVePG8Mi5Y3wLJmdggaAs+l4x27J9U2UtVRlP5AGZtIV6yE3ve+QsP6bSrJ1c3sHtfP1ZAPqB8Lje+PuMSOQWIkWBYqMLOvklzB+aoAaVY/nGl7k7MJV4ful4kNfpHdoeREPw6MguafPVG917aBgtMz4S2uouyIQf/ObxvMCGq9czHGHCd1SxwJOV+OB3Cf5bPZOkW8rR3NXhehzqMhPuNb0cs2+g6Vyf/ThusNDDbCGbMBrkWvomoMtJB7Asrs8uhavdQHM3uW5DoDONXVJD/ls8convWLASznrlOhnKL0Z/aC4V2IFgAAIABJREFUHIH3ARhL8jgzS4pYsoEaIYFGo4KOBpDkliYaqRwuce29AXU9ya+gR7G2NRRkDtGK6i2DuGroY6ivGqoDhxn8aGXoOpRyvv87UbqwqPCgt3RI+H1dtDx81V8oTpsNnrOFTksBKgYXyZmhxZTv/60ATknNIe57OQmiEFyOEo/dxMzqdA2nQoHbmdw5suLDpUkLbZI5zGx397dxjI/mxOug6rxRUEb85shUg7BcwwpQdVTWMVqI4VIlrQVgZ5K/QSaBwsM5FVIUP8l713paB3O47VTlVYhTABxgZpPdcetAAcYPJ9o+Q3JOM3uRoqIcD+Bblqnq6YDZrJ5KdrjYBcoOnRnVea9LQCmudNkVchhPdw6DeZEI6I9Q8Dzsy7MuiOH1PidAwZ4kCmyxrnZSSJc6xp1nOI6B8FnwAuLHQOOeQY7nHEqylWtB8m4zizVJSnU0imBmv0SUlBUgrh49CXIWrQAlGpwOjY9rD6g7JZULO6E/mLNztG84dviVkAP5AdTT74SBm7+77XkA9AVuSJ5rZjsA+HsckMucdziaYG2xK0Tl6SnTnoPoBVO4G2JT2NSq1KP3U7SdKexuZj4xEibdtt2RT9L7luvLgRDl6ViIWqoPbKk5aA2Jg8H5YgrgRsosc9UQJL9nZqEteDXJbNWRmXlNypNd0tBYM8sGBQpRSvn4J6smWk6naMpjjFh1ddt7PUDRs22iVBwFacHVVvOa2ZUArqSoTyuBRqY1B5u0GxeH7PNU0H8V9Ox2gxKlcpgOUaxdi2pgoGuFZ4jSteEu0Gea6LZvR16TqAJLVxDFc81sAF4wszNJzs8ahiIr1/NuQpws0ed/iPaF7a9AjwbcJwEPar7+HskFocT2iyxIEgvRdrwLEFaXlSRHtaGqewA9fxnQjk2kGG3Xb0EwfGYoEfC3bntR5O2g3wH4xQgEtICRYVmogOR+EFW2P+d5JE+1RDIhe8US1yb29aHtPWaizj6KYkBoYriZgf/D4Mg8BzPwfx0kvwhlX12DlpkJzmBaxm0maRooHuJNIeOybyFhDfoBbUAJdW5oPaHOOQFca2YfzbR/L3p6VfeZWZaaaKTAPKcxgMFOEtF1xwPYx8x2G4nzDwrOqf4liOJlHDTZb2eZkmSSD5nZipT+znjIufBAzolL8klIeLyWGiEyKsZBRuiQUWFB9ZZru7y7biO/rXPohgZUCDOzPgPKGWK/N7NXnfN1eYhXvol+biAgebAPKHYJODgHUKOh69quCNE4VDjfc1k7/06Q3MD6Barr2k8N7xGKEudkRJpXZvZA4thYy2MCNI5lBZtLwIxOi5ntWntg/nzxZz0dep58lusOAN5MjUkkb4MWFqeYox0i+QszWy5zrTBY/SZaZLkXfpZroAXxncgkc+TGdA+rUsf4jEmfmHGl6/PG0He+faYfj6NMwwokjwJwS8l9WnOuqW3GuJrjF03tt4SOD8lQE2IMFOx7w8y+lDn3cpAz0ycN9FVeRe0fNrMVmva5/dNMdG9rQRWmxwD4hpnVaXa1BqXndpeZxUkNAwHJJ8wspw0Rt62tdOnanuSZSAcpsxSLqYVqbvHq7q0TIBF4gyrH9zWz32XO/R0AR0dO/gPNbDjUdllQVTU3mtk6HY9/0KoUbOF5x1hAb0jRtYX6m/eb2crhOXL3epd+kDwDcvh9BXpO9wMws5ntVXr+4fbHj1FUpdwfTDRxwxq3Etd8L3qVC/daVLlAZYVvCwXxw+SHsdCcl3S+uHt4aTP7qXPEzeTXN5n22Tkx0fYhM1sx2pf6LR+DNKmuB7AO0FdxHTMp+GBhsgrIzJLBni5gmsozbrNVHBBIOXyj9x8BsLyfVyk2h2lm9oFE29EA9jOzVnp8/jmjNAf3hCjyz+16PybsqgfMLKefFB/7OLRmnu62FwdwnZn9Z9Sutm82gGQOd+3fIaB8hGg9kzSOqWe47rnmCFRXD+deL3m2/Xjdsk+3Quujp932KgBO7zi2HwZRTh4R7DsSGutarTsC27aCAfl8UmvDnawm0Or8VeMgm6CRrrvh+uH8eSiU4DbOzJahKqYvMbM4cTGu1lsASkR4Feiv9GZ54NQf1/r5KJk3usAFtbaCEnXHQmv+uoTEknOfDVXmhHbb93J2JMn1Ibri90M6r2tCz8utibZjLGL6Se0bRt9brd9y6ySPzHppFSh5+TYMOJjsbPdENwZGjw6KiWgNM3vJbc8O0fwvH7TxVbiTUbVNxgK4wcyWRQbOT7UYqsnDSX8rW2r3/btB8h4bDPPA2w4zKrXeuXgNctAcgt5Ems1McEbdOQCehgaUhUnuZKLRGoK9NRHvUqHOUZCY70wAliK5VNzvtwAl9AIDg4kzfiAOuJGEmV1LVXTcBGWUfdbqBZ5ndu03BXCimb1Oss5gaEuNUJJhdwOUOToHyReAIX7qZBm9taRhixxTlwFYmeRSUDXBlVAV16drjl8GCgx4jmV//b5Kh6ZAlVUr5E5z5/UC99Ooirk63ux1A0P3FIrKLWnoWjnn+4jBOWwnoZ+negnXt+EGCko4vFtreTBDNeKRMXRb6bQUIA7arhIttH9GBfVSmM3M7mU18/+NmmuNJI8/zKx2PCB5GZQJnD0FqpVhvqrodkjI2idmTEKQfZZAqYYVIHrhn1AZwK8jMy61BF0/O1ElpRZjOVh/YHcKRXOYw6loX3kFANP5/9g787jbyrn/vz+dhlMahMwiIUKRoiIKIbOoNCoyVDgehAyVPIYSoh6ikiRUQobmNGmeJ/QgZHgy9DNkTPX5/fG91tlrr73W2mutvfZ938e5P6/X/Tpnr32ta11777Wu63t9h89Heh8RCIOgrLq5om0WcH4B8Lm0TvWySU9YBLxb0h2EHdO3EPNFktZ1tfByHm0rXZq2z1cFLST0AUsTi9SNQuoAwsH1x9THvQjaraqN91Z5x5yjOuP5FPSaCvd4No7K9b0GKwEPbti2DKVOeYcmQzHz+EBCVyhDW2HtOpTZV021TaeB4nhuV+j07AQ8Pc17y/V8zTXSv8sCmyoohPK2+0XEHH0fhulob6eC/kpRGfQ6Iii/NnGvHE69KPlYOtccFkhSIXBTVtFxOBGgfDjDlS5Qsjd0xyqgJqiyYzSg8iyzY97FqGbdPlQ8PwmnAccrdDYhgk+nlTV0UNZvDzQKajH4/sZpDjZF8dw2lFn/RVTR3Jz6eSjxWYvI37Mj6zv90OR/jdhjZJSPTydkBB6fbyRpE2INX6NwH6wKLKjq3PahikSXdRlmHqiraq9F13u9w7N9lqS3M6r3WPabfhg4TdKniLXx+dTry1TC9r4KrboP5w4/n+Yagl0q5tuMr9XeMNmAxzDGX9VmCLn/v4yourwqjeU3isTqItpW4h48vskAkrYifqMHpXsgw6pU75narBut4Ujy+JQimfUdhI53X/byes4l8ya7bSTZJ4dXEXuqrxH2fR1V3UUMV+JVHeuKRvu3NvukHD5IFCgspHxd7wxPT6IgDzFcaZwlp+bRqQpX0ueJRPAbacZUMau67mqYVDIf0KrGfFBr6cXbgEfUTPJFfJwom74JFjvDv0LwxJbhIgVFwDQi3mVCnV8oa6jIVt+O0UltRoNaTpzG014kCsb/MsTvM+OVaU0h6VCGDcbVCD7/NyaHQZXO0GcJg/Va4PyU4VJn6DaiRmjpfN0b2FvSybYb6wA1QN4xdbdDSHlr4NC0Yavj74YBLckRjNdpaROoahtwIPXZyNBV0CrtQsqqyTkwqu6BaeIowhEwVEk1ASZxSEBzLY9xVCNlaKTTogF9ZilyYy9u2O+StLbtn6Z+Hk71d/qH5HjNHHCvoH4jME0e/yZ4uEuqKBqgUWKGBtmbq9BOwwpizd6EBlzrGl8R+qx0vbbUIa1RuM+yNaz2ns8CWmls56Zsvyq8mtDpyDY2F1AdAPl1cnhuSSTrrECFpksXTPN7TNiYoF8eS/tIBNot6SVEoshRkuqqNRu1tz2kbybpK0TlYxm6bF7Xc46Wy/b/G+PsWCBphRQUIgV9VigZd6ffRsMZ2guIQEgllaukg4j18B+EQ3094L9sfymN40NV55Z1V3i9H6PC2ru26K8Wzmmb9tXnBNiOqJJ6je1bFZqypXTUXdDEQZLsx19IejZR+XB32is9mtA2LMNeRCX2pamPH0u675jhNKZzpWHgxvanCDvtM7b3qLqwRmnw7iHp4R6uAqqbf5ugsR3T0bmb4Z3E95F93jOJ4HwVLpR0GKNBh7IKpqaag01RXMMzSvGxlFm2T1Po6WUZ7T/K5r9Cuy1g8Zy4J3GfmVgjmyZhjcMbgG9KehHhNP4w5Ul6yxNawEWdk79QQ1eoqKTZnAhqnQJsRaw3nYNaObS919s+29sR3/eeheNlv+npkt5A3LN/AJ7oes2rcSgLuDbdd6BCxbxCq3SXLHg5CST9lEjSuiD9jevzY7TzV7XBHcnuyfYopb9/2wCFy2kP6/AbQhLhxYStlOF2CpSoaqGj3hWSHkPcvy8n9pDHE37GvrBMfu1J+4Q6H/ZRBHX8lkRA+WpJ53tY1/L+REB4xWQz5pOoVupx7G01iNvggZ5S9Z2kBxMsCFkV4gVEcPBX1We1xtHApQV/7lH5BrY/mdbdd9tukzS1sXPsSg0w27ruWVLJQqIa9FrinlyPeNaL9N/zKGA+qLX04icEP21TLJcZCAC2/1dRKVOFqUW83U6o86VEJn/X7NReUXTcZ8d7dNyvwmDzcyfBgX1SdfNZRzHLbYR+rQzZBjx7reAe3iL3+lUeFvW9Jf0tT//ZLC+RdD8GtDSX2v79BF3mNxf/TtmhuzCo8huXfdymCqhNoKptwKGtoXsKsXG5nsk2/33gz25QaaqkQ6GCCHwJiu81dkjQQsvDdhacrKX8kLSPB1QjmU7LQQyevzLHTp5/fE2iSlHExvcWwnlTFpjbGzhHw1nCVcH9vYgqm0dL+jXwM0LkuQrT5PFvAquiKm7MWJomZrTK3iygDdd6bUVo8TeV9BrbRxWOfcR2lcZMG+TvszuJe6AuuNKm8oq0KX5zcjJ6TEbxtsDzgINt/0lBP7Z3TftWUEy8OwJr2f6ApIcAD7BdV5nWBs9r0bZtpUvWfmdgswbtMzySoOIZQZpDP6l2FFJtnR3HAWdrQK2yGwNq1FIo6Ccf6dDQuA+wiis0NBjO0L6ToKeqc64/x/Y7JL2MSNTZmki6+lLNOVUoc3w3zVYeh8VGgjpSJfWMohP2doL+8q5cIOkro6d1RhsHyfnEM7E6wT5wOWEHla1l/7J9R2aDSVqWmu82YauG44CWgZu6gFZCUV+maRVQYzS1YxIaO3dLrnM3Eaxpai9nNI75IHVVBVMjzcGucEPmBwBJKxFaVg+1/VpJj5S0ju0qbb1jiOBRtsfagbBZtq1o3xi2L1foqJxB6Po8u2y/lJz850n6QssAwSuA9YGrbe+W9mZd5tIylN3rr6tp3/bZXpfRYGKpHlyyebYl9gPrpXG9zXZdxX8diuNqoyEI5RXzR1BdMd8G6xI6wZsBH1XIXFxn+2UV7dv6q8Yhv9ackBIE7qmoxHs19bqW7S4UwecPM1ppWKyUvRa4VtKXPZ5asTcd9Rp8ntjfP9fTkfj4GHCxpKzydhuiSqkUts9RMGJsRPiG3kDoRuf34s8lknwezLCe8e1UVCR2xP499lXEKWoph9ACRxP7wG3S653SsS37uoDtjyuoVJ+WDg35czPbPtl1W9OOCeBiNWeqgFnWdc8llXydYHK5Pr1+HNO9h/5jMK+ptZQiOdMeS3CU5p2BpcGVlKV4NwPjcEdggav5bMt43EeOTRsp+LXNGMfVjEHSRZQ47gsBmEn634hYjB/GwLHTSybOtKEGmm0t+upVS2HMtbYhnM/nEsbvZsDetr/Wsb/FY5e0LmGMXWz7KykzcFvbB9acvz/wOxpUAaXn440EJ/gGKVD1GtsjThNFhU1G6/VHUsChbsMp6WLC0D1hnKE7k79ZzRiy629LZNl/neHv8KpC+1Y6FBOMq1LLQ9Jj22ZDFu6xFQmH12bksnJdwScu6QjgG046QIpM6ZfarnRkKSpcMm2fm/JJBkp0mwpapANtvz1lPy7jGl2RdO7UePybQEHZcnJdm6qxpHstS8w4vyYxo8k4Lra9SeHYF4gg6amMCfhpoEezN/BPp4pQV1ShSToFOM72cen1/wArVtkDDT/DNrZPVC4TuuF5qxOVV3lH0Ps9XE2Qb/94wkHXVIMrH9BYA1i5JqDRCpI+Q9gBz7T9mMwJbnujMaf2DkXW6g6EbsYFikqXzV1B29SkfQra3UXQo2S4FdjHhQqukv4bUUhJ2oWweYacHbaPLbbNnfM8Yt4GONP26TVtG2lo5Nq30sFU0rlQaA9+zVFV0VX3qqi7swUxx2xGylYm5pq6BIyqvh+XPSMaaMyUwu2zzquuuYCoYM0ngN2S3rtXfn2VdCXxOVcHLiQCSXfYrkuKaDOWowgNj7EOktx8+iZiXjyoav+jqNT7E5G49CbCqf0D22Or3xRVH/nn45bmn6gbytaFtL7XVgF1vFbjTHFJy2V7hjSPPsQ1mjupXS3NdEn7kbWpar1SS43Ccci+d3XQZ5Z0PBHw2yXNNSsRWo6l+3FJP3AhgFt2rOX4i4HwdYmkuD+mcVdpBj0KeDujiaClVIiSLrP95DQfbEE4qH/oGt2VNqi71zWqadjq2ZZ0AhFMzHSsdgBWsz0STJR0CLGO/iO9fiihqdXJ4VzxXNdqCBbaNtYq7TC2ZdM4nkHYefcmglqle462/qp0TqWdV7LWbAk8h5gvTs//5pNC0veJCutPEImsuxF7oX0r2reaw5ZkJH9I9tx/r24tlnQ2UUV5MbFufN/27yravnycPTpXoaDJvgfB9pH5zOweKMzngh+34Ks4mPg9v26PD14kO/VbxJ5jbGWigkr9iwyqUv/IGO2+aUDSjS7oepYdm8co5oNaSykkvarsuCuCK8mQ24tBNP0C4NNVm5fkzN7bwxHvg4uOt2lDoXmyPpFdODZ4NwPjmarjXtJNxAbgBoaDZp02UjMFlXBgE4tJJ5rIooGuyDYrE6ufmCNeoQ+0ZWYwJYP4rK7G/KT3iIKSpohSI7ciULWTk/hwalOsRFmRoOD6W+q4l6oYSf9FOD+/QzNKvt6R7pMquHi/KDJO9yCCB79mOKhV5xxZLp2X0bOeC3zWHQK5Xe4XDQsfn0Bs/LMNYOVGOrW/3nZR/2DkWIux5I3WJUoAtS7wM9vjaBPwk3QpcAhBI/Yi2z9Tjai0IhD6LSI783nAn2wvmvAzZI7gxvdzcnqf5ZTh1vCci4D3eDij+EO2RzKK2wY02iL3mfPPYy+OoJlAcqQ90vZZyVG6wIVAdN19VNNvKYWU7VLaqTbOjgbXHgoQK+hHnghclfuNrqvZGF9D3DMPS2M/GXis7VIdTEkfISo1/0FQVd0T+I7t1lqokr5ue+vCsQUMZyv/o8zBq1GdPAhq1yuAt1U47u+R+st0VxYAKzhoCSdCCgjtB/yWHN1fzfdeFkjq7Vlq4yBRUETvSTgmX+PQUypdIxUVjq8h5yQlnNOVm3NJLyYy1x9IJDA9lHDcPzbX5gTb22qYDnMxqr7HcSjOzyqpAiLmy6oqoDbXOpPIFM9X4e5Y5rhXZHu/mHDsXkl8LxfZrqzWkvQjSmimXaHRWbY2SbrS9gitmaTriL3nekQV9pFEQlplQLiJY13S+23vp0GlaR4uc9xLusL2hk3XGUlfIihlL0mvnwLsZXuXqrGPgzoGwtP+6nBGf6NSVg9JnyaSHF5JsEL8lQguTl0fpuTZaPVslwUOy47l3lsRWNO5qqQJxv5u2x9SQ12XkvO/QehM5Z/VJ7m6mqrN2P5OJAJ/nLD3ajV0O/irpmrntUE2n+TXi6o5Jr3Xag6bwnir1pneqA07jusTBN3kv4gkl/OJ5ODSyhtJLyAS/fNJIpW00Q3H0EmDeK4gBQaPZlDxvj1RSVWn99n3GPJrVhbAu4uwl2u/R0k/IWyTYhFBrT9UFdp9GmWAmgoUFO1/Yzgov7Lt7ad97SUd8/SDSylsH6MWlTHJGPg4wyW6dXgD8EVJQxHvruOdAN9Kf3MFxypK1qfluP+97W/31NdMom8O7OKm4e25/y8k6PDG6kE1xDIezgC6jcl0V36e/UftM0mXAd5l+/gmF0qOqmervjIm47Nfh3COnZzGsTNQSpPV0dC9g9DAeE/unCpKvqmgjXM8tW+kQ1GCzxBUXZ9Or3dOx3Zvc/2ELuLj+d/kcYVN8zmKCrQq/EbSexk2uCahm8iP/2pJ3yKqLvKaFUPZx5IOsf0WVdBguUf6qzGOg3fm2j2K+A3v58iGXo8QRO9LKLkOZd/BOArKQ22/Kb3cjVizP5gCWmsxcE7kz8nrXe0OfJPYML5fhWzWDrhNSYMk3QNDKPtNHZQUd0tazc31OttocDUVBe+Kf6dAQEbpugazRL1a2HgvT8xPf7VdqqWR7JjXERVvaxPaBIczqql3paSNbF/eYjitKKRSEKtzIKuAhYXXjTQ0cmilg2n7XYqM/j+n+/nvQKlGp6Iq/DTbt6c5eAPgvz0QkC4GtIrZyhu5IluZCGr/iggiiHAKr03c+58ngoxFnE1UvGWVeCsStGJ9UE4tIpyMTZ1zkrQJsR5ldKW96d8ROg8704we+S3APkRF842K5KHShJkUEDyCdhRWHyD08s5yVO9sQTiR88iSDKZNPXU04VDNAsG/JtbviYNawBq288GbL0h6S0Xb1Wz/RdLuRGXkfimwVIemNNOPJhyeq2m4QmpVRueLDK00CvOOdeI7XY6Y854Kgz2iu+kz35HsmGwOW5vc/jM3hsxeX47Qxb4lvX4o8KMW1xtBVdCqAdrQqWM706M6XNJpwKqeuUz7IlPD3SlAeH7DwNNVkjYuBBOLFP2k915EMIQsT9hMTyB0y6sq3h5OUK9tQsxfFxPajTensWbajR/LnTayd6OcahPaaZW2xfZEgGpPYHdFYtL5ts8ua+yokj6MoFo145lfGtt5JQEKGJP80RL/Svv4H0t6IzGfrlzTvtEcNkXM1DrTCk7JDOl33JWYU+9PiX6qpMMJDa0tiOSDV1Dh22g5hqlrEMPiJJfFCbLuIaEk4dVEpfQniHv+InrUZG2Ixc9ah+/x97Zb+3+LwawcFjGGqrwn7EYkPWfP1vn0p2n5H435oNZSCpVUxqQo9PmFdqVZfhmqsjAcfL/rz3bEeyau0RLTdtzvp6CxKVamjVBSzDFMkwO7LKvvQoVoZx84TdLpDLJZtiMytMsHFpmtbyMc5SOZrQXH1FGUZGFVIW2i9iYo/8ZChSosBff7n4ErbV+T+nx/eu98guf39vR6f0KvowxdDN23AY9wd82P3iDpQ8BBTpRRCjqbt9l+b1l723soStfzdHJ1G+mNPJwl+z1FRmoXdCm3zj8fjTfSCdsTGfSZHtT56VhX5Me/kAgKP7PwfnH+ygIuk2hOjcU4x4GHecyPIPSWMj2Q6yR9GZiJoFYXLM5CTUGBN+de/wwoozjN9K4yCHgBA6H3SdaxFxBO+mMZdqyMw1+B6xVZ/flAaFU1dhsNrrYBjbb4FPEc3VfSB4nNdOkcM23kN4yKheAlhOO8CnsRlUWXpvN/rKBDK+IpwI6SfkH8Pk0yeP+R1rI7kw35O6J6eyZQnE/bami00sFM9sCehE7h64jqm3UoDwq8z0HR+TQimPRRYrNbVdV1HZEY9DhiXf+TohKtLFv5xYU16XMKqpl3SqrSl1joHLW37b+mz9MHfpnG3BSNA0kd0dhBkhz45+Ve30xufs1D0guJIFUxcakui/vftm+TtIykZRz6IYcUxvB/6d9fpOusSj97/mISzdq2t0v3PA79qC6JNmW4TUHdl88UrwpyLqugS9uW2F81wTmSPsoYmmnieXwhUUX5otzx24HXVvTdVnOwVQJFCvR/CHig7a0U1aqbuKB1mbAfcBqxzz+OWPt3LWk3Nce0ulctfFvSnjSgU89daz1ydIWSHjFDe+ChtSM5mz/KmMBTx2Di/sT6ey6A7WvSnFeFLwP/Q9xnEEkLX6Gwdnig67Iio/pelY5VJ63Smut3hu2TgZNTcHkrYq5/B5FEMYKm/q0c2th5XZI/2mAREWB5M7EubEHYElVoOodNBdk6Q9B4Z3Zbpmk5a8G2FBDcjLB/fk78NhdUNN/U9nqKCvz3S/oYszj2NlBU+m/EgLJ0kaSn2t6nh+4PIBiT8nq1B9NfsLo1Wgbwrk578G/Tjz+0L7umFg7ph0+kv3m0wHxQa+lF08qYiYzc2Yp4a0rUGz1g2o773QhjYjlylC2MOoXnGq5Iwbh89UedY30cLsy/0HCFwTJERmRpBnpb2N47ZW9mVAefs/2NmlPaZLZ2ycI6S9LbicBW3slbtgncMP1l1X0vJBxhb5B0ou2Dcm3vRwRlM9yRjo2g6FBpiJ8AE9MW9YStbC925Nn+o6TnU+FwVtAQvo7Bc3acpM/ZPrSi/7skrW37p+n8h9MgaNkjTsz9/0kMNtIQztWbsrmzOFem+2giqrkyKCpWbrP99nFtc0HqJ7igDyNpETmH4oTYn1HHQZVA+0q2Lyv48/qqBh2HiYxtBWVp2TpZFKdeK7XflqgY+UsKEG1AOwHfEdi+A7hE0qYuEY6vwddpt75lGcUZh/4FxLo5hOSY/U7LgEYr2D5Oof3xLOI3fKntH/bVf1fYNvBNRfVAlTj8v2zfkd3vCt2LsgD7czsM4QpJ9yS+6yuJwOXFHfrpA3cAZxFaJ+sA+7peQ6NR1WMOmT2QVTfV2QPZGvECws74rqTKoLlbZCsDf0/PdaYF+gog01WsSpz4m6QNMgeapCfRn7D2zcC5kr7LGE3AdPw84LwsqFYXSOqIsQ4SdasgPgTYGrg+PXdN8CdJKxMJJcdJ+h05Wy8aZYtYAAAgAElEQVQPSa8n5rt/5sZUmUhXsJUz3O5BpUOxErNRFVBHlGWKV1UoHUDQu33f9uXJpvrxmP4zh/6GuWMj1Sg5p/omtivnIUn72P5werkdQeX8atu3KjQHP1ozlrYJFF8gnucsgPe/hM0/EtRyaJZeRSQpiNAlG9mDtrTXW8HdqxYyhpe9891Rff9+nqB8vJHZ3wPvRzP7sYuf5d+2/1ywN+sqSFfysM7klxQJkFU4hljzPpVe70DozQzRknec81pBAxmJnxJzXiVLSEJb5pc2iStdkj/a4GGOqva/kuY6RYX2pRXtG81hM4DzieD96kS19uXEHNiLpmUHLCSYpa60PW4fltksf1dQT94GPGCag+sRzyf2wRkF9DGEdmofQa31nNMmdtDfzjTd/uIJrkMAb0XCFnlO7tgka8FU9ZrmsN96icF8UGvpRaPKmCkaudOOeM/Jkmim77jfyPY6U+x/WtiDyPzOnBAXMKBmWwyN6jsNIXN42H5j4a2swkCEmObPGVDUTIzk2ChdKFXQ6KBdZmuXLKzt0r975YdI+SbwwUT11V/TWPcjqq+eTnxn+aDWF4HLFNzpEDogXygbQEk25uK3qM7K/BtwjULXarb17xZIWsGJgz05bcocgRl2B55i+2+p/YGEE7YqqLU38dveTHwnD6XaWTMOiwONkg6lvrL2zenfD+UOP6/NxdRSuLsBfp7Ov0tBt9kGryIoVfLYteRYV5Q5Dqq+3z8kh17mlHoFIYQ+MSQdaPudNcd2nvAS+Q3xQmAbglauCu+1fYKiYuSZRPZeXcVIG6yuqFp6GA3uL7evxl6bqPpZJvX/LOIzFIO3Ts6Et9I8oNEFvyXWu2WBFfNBgpmEhmm1ssSPf1Y0hwggvJsY85ZEVvcI9XEXG9JziEIKuC9hl2SZ2GfVnewxVY+STrL98twpbeyBXyfn25bAgQrtkEqKvZbZyjsS8+aniTnsEmCntPYV7akMbwFOlPQb4nu7PwP7Y1Lckv6WT3+1UFAPHkVQNa2pqJx+fe5emhRNHCRdKoh/CdzQIqAFUUX5D6KKf0ciQatK/+PtBMVw00S6q4j58Y/Eb3pP4FZJvwVe61HWg6ZVQK2R5o5GTnHbJ5JL1klBzZdXnzGoSmkxnnGB9W2AD6e2t6bvYyNFNd5ltr9Yc27bitD7pDV4n3S9OyUNJUZpVB8ps0fWlLTmTK4zFcHSxahIulucSNMCG7tCg2oSKCrtNrZ9UU2znxdeN7IfO/pZbpS0A7FXeSSx5tSN7VRJ7wK+msawHXBK9ruUfP9NaclngjXhUkLLJ0uieguRRFVF69uK+cX2wcmGaWLndUn+aIN9GE46rDoWF2w5h00RSrbLawj9soMU+qKzAttt7sfvpCSqjxLrnwkawiUF9wSy57eXZO2EZSSt7uFKrV7jBmnP/CsHZejmxD7si04sOQwn0bQN4L3d/WrLLa1+6yUG80GtpReNKmMKzunsgc6CA1XO6SaYasTbg5LoZxNUYOMy9mYK03bcXyRpXU8glD4bcHMO7KK+U0YH8yLqM7feyWhlwUxVBY1odLTIbM2cxFmG2The87abwPsWrv1vQhPoH5KGxmT7g5JOZUCxt5vt0k1F02zMvMFE6PN8s8XYp4njgLM1EOPejfrKUjFcaXUXNQaQ7bPTRjQLQN/kgohxiUOi2EdGU5OnCMvm8KcC6zKgodyGCs2ZDhvqEwntnCNpUF2mdjow16iZptb2ROboWhrWX1qFgXHfB9o4DvYCPgc8WtKvgZ/RX5biluT0uxK2yo7ZvqFDn4vvzxLD/xBFBdG+FefmK0aO8JiKkZZoe389knAkrsuwyHMVFc9xhKP3BsZr41wF/Ml2XUZzZ0j6AOEA/inDVRQznWULw7RadxIOulJtp4R3EYkh1wOvJyh3e3MEaJhm5DyigriPfl9DvU04FCC2/d5kMzyHWAcOk3QCcJRTpW1LFO/LNvbAtkQSwsG2/6SgW6u7NxtnK6cgwIsq3v5+xTmXKyih8utYnXZJY3iMJmAJDiGqAr+Vzr9W0tPrT2k1ntqkE+WqdNxOP+gdhHP5PBpUpKX3srXxbkrskkIi1U9pZ+ueCXzN9umpr+cQwaGjiYBnka6sURVQFySn1SIP00B/zPYI/VGy1coCBpVUSQrN5/0YnmcOcHN9xpEuc31vSzhJz03HD5W0t+2vlZ3Y0rEOUSV5bwbzxsaM0nXW0fjO9DqTTywsG0tV5dVKRGLJmrZfpwJdewkunsYe2EGr9j8ERWRVm60Lh9oGntrgTUSV3r8IKrzTqae6ziqsXl84/krKv/9GtOSeGdaEnVKQJJ9EdTjVSVStmF8U1XMXZM+bpBUlPcz2z0uad0n+GAtJWxFO+wdJ+lTurVWpYXxQOxrSaUIa1bRcMMNj6ATbGcvESZK+Q9Aqd10DZhofJqrIzyHm1qfTT5UWxPpxsaQsoLoN8MGe+s5wErChpEcQ++eTifns+VAabG8TwLskBVaPBk5tmThUhgvHN+kOd2M4mkcOmvw3nseSiJThuRcDyrQLiOyKvmgjxl3/attTL2OV9H7CCf8wwqg+nzBeZiWDRNKryo67J+0vST8kMtF/Rhi7TfQrZh0q4cAmuHxLObAV+k4v8EDfaRXgu7ZLnRgKruT1klH8AcIo3td2H5UFtZB0le0Ncq+3JGjs1iXK9J8K7Gr73JJz9yvp0rarsnJbbQKTs+5lhCEB4dT6FmHMfM72VKkDit/NmLbFDPepIm0ysiyhMzMnT0XbtxJVQ0NVbLYPqWi/F3BcwVmzve1P59pkeiALiaqJa4lnYz3gCg9X/xX7vwR4WubITFmKFxQCYJ0g6UrbVTQeZe3zz95/E46e0mcvF0TMw0XHlKSHAmsRBn2eHu124LpxDtwWY1+JcBw8h/juTwc+4OC8rjrnHsAy2dw04fX3ICpgHk44JzOsAlxoe6cJ+t7V9hfS//PPYFals4eHaVby536HoEnbkghS/oPIRC9t33Jcbe+v7xOOyU8Q89duxPdfGpBT0vZo2PePgEcAmR4U0B8NhKSbgMc7qBfnkaBRmpHtgcudo4SdoO9ONqGi8mc3Iqh0DuHEP9P2O1pev7U9oI5VDi3HtQahD/Qwhisk64ICtQkLHcfRic5K0qW2n5LfW0i6to85qQlSYGc56iulR+YNSWeQdAHJBdk7BPXyfea/gycSTp1LaZBIJ+l6248vHMvW8GtsP6Hw3lOBa2z/TaF/tQHwyT4cM2X7xKq9o6S8bbiQsGt/U/U50zknEckN2f5rZ2D9kuBE0/EufrYVGqlb2v5der0GcFZf96OC6vNThF7eDcAawCs8cxWtU4Gkx9q+Mff6eGKe3sX245JNdlHxPsy1fwaxh7mVnvfAkg4mGBi+3sRBWrAfIQWe6uzHviDpUNtv6nBeXt9rHaJadrG+lyuq4Mr2cn35ebJ+JH2YoGn9cl3fbf1bkq4gdJXuSK+XJ+zrjQrtFgAHugFFelsk++IJRMVt3na9HTjHORq4wnmnkmhIba+voIG+ujiHTxvpuXsb8b0dqKB/fUvd/DtXoDE653MdiuSm7F69zPatPfa9LoPkh+/1nSyQzRsKKtR/2j60Zo3fHvgIYX8vDuDZ/mpF3yIKG15NfD8nEH6Z/61ov4h4lm4nEvSeCLzLw9rZU4eGi0mWJ+biv7l7EclSg/mg1jwaIzklH2n7aEn3AVZxUKt06eswj1LETQ0pi+a1RIb2g2wvERkkbZGcvSOY65F/RVXADi5wYFc5N5MzcD0P6OFWIJzZpdSLbY3iPlFh7N+bQWbrJa7IbJX0ttzLhURZ8g/HOJrabgI3YqDncaHtSbTMWqHNbzBTv1dXpMDA4k2Uc1VsGq5Io8I5VGXIfR3Yz/b16fXjgP1tv6JmLDcR2Xr/L7s+cZ9NTE0qaX/gdzQU7p7lZ69I/TnNa/2UyNq8gPj9bxxzSpM+VwNWpyR4N86RXeEU/jORsfrZvGMlF0CFQZXOwc5RuBT6Xolw7l9v+8dpU/X4Poz/DvfXlbaflHfG1gXGJD2LCJKczRjx4Gmvp8mpukfm+JxNtA1qJGf2/oSza1kGzsM6sfqmY7mOYZqRBYSjprfknKY2Ydro7kIIoR8JfNP2vxV0VD+2vXbL67a2BzTQvBOheZinhrvF7Sm6ysZ1ETF3XUmuQtL2STXn9J4sJOlJtq9MTrIRuKIKStLXiKq0w4gM/kXAhrZf2XUsbSDpaiKZBQbUzxk1107EszGiTyfpBtuP63ks+eDKZUSlXTFoVppIl4JsZxM0ZRA0ZVsS8/3lJffudYTezXqEQ+goYFvbpb9fy89xLbC5h+mPzmvisE3P5/dtb1rTpswOGznWYrz5YOJQcDCN59qSgGEXqu7s3GWJwIMoqZLUMKXsCMrWvNlGcX6UdIXtDdUwWC3pJ0RSX/F+7yPIejtwD2J+/AcVv5GkY23vLGmRC9VLM4Wcs/iZtr9XdS8U74EqmyfXfuh71IA14WkMU9uuAtxtu6jB1xqaYhJV6r9sHii9xyRd4h6SA2vGsqxbJOVJutz2RoXno/Mc1gfSXLey7b/M1hjaoK3PZC5B0tnFZ6zs2FyFpEuJKvv3AC9y6NBW2kRdA3iStiAqN+9BJAi/ywU64eyZl/RcoqL1fcCxRZtnJpECcy8hqG+r9I3nkTBPP7iUQRUCdBmqnAaKipENCQP6aCJ6/CUiq7SsfW3Ee6YCWors0acSPPtXEw6MKk2BmRhPW6qkVpjrwasatOLAplzfqa7arZUWRc8oo9tYSDimlgXWlYRLqtJsD9GHKDIFKyuGEtpodGQUQr9IY0LBtX/LmGv0hTZZFTOWgaGgcjkUeAwx1y1gTKaMIzu9KkP9bGIzlmGBJNnOqGMWUK0bsk4W0ErXuUHSY8Z8hI8wSkmw/5hzmqKVcDctnj11oBAagyL1ZyNUBITy4ymrFliXcKZuBnxU0jpEoP1lXcaQrvNn4M9pHbvVOd5xSXne8TLcTGRvfyW93o5Yjx9FaHUspllze22Rv5PTknHQJvSiH0b7++tfWYBBoSH0a2K9r8JuwKOJ7LdaIfkZWE8z6pAbGA6wTSyu3gEnE7bRWTSgfSSc1/9FIQjSI6aiE9DBJrwXsHXxXnDQUXXhvm9tD2RBK0lHAN+wfUp6vRWDQMqkWMkF3b4G6J2G1AM6q7+6oN805vt+A0EL9SBiDjiDYV3RacPZPSJpy0LSxjsVlVxlTolTJD2nj4SACixnu1aLtoAdiMrXjAr6wnRsAQMKszzutG1JLwH+x/ZRCorPPpCnPxKhX9OU/uiRBL12Hf4h6Wm2vw+LA/X/6DpYhnVvTpN0OsPr7ynFE9yQqruIFEz8KnC8q2lQq+hEoWLNmwMozo9t6FkBfm/7WzXvd0aL3+pJkh4IvFrSFyl8JvdQWdsCzwC+x+BeyMtJjNwDHWyeiwjb7z4M013eTk+UwTSk3e3q3wJ+L+nF2X2T5rIqCtWr1YAivS0knWB729R/2R6oauxNaEinDklfJtbgu4DLgVUlfdL2R2d6LB3QymcyFyBpIbAScB9F0mo23lUJG2hJwW7EffPBFNBai0Ey0BBywbpvlRwra39vIqFoZ0K7+E3p3CcQz28xGSz7Dp9PBLNunO37IPmIvpl88PNBrTGYD2otfcg2haWZhDXnvYwITGU6KL9RUL5V4dW2P5ki3qsTk8qxxEZzJrE1kXn+XYLb+WLPEMViBY5mQJW0BYkqaRbHM1fQigPbLfSdEtpqUfSJIY0OSQcSG9wbGXaqllItFrAS8OAxbRpvAhW6JR8DHkhUR6wJ/Ah4bIOx/CfjMIJr/kQimL8LEQzoiqJhdBpwfAr2QGQFnVZx7nUlz0btZtFRTXsqEWQx8M6mGU3j4PZVAW2evTzdw2IKofajXIyugdAuotd3EZp0dxHP9e/SXx+o5R2vwKYepk/5di6rc6iKTP1ri3RGh/trETEvvpmoFtmCQWCsDBu5h4rFnnAMcCCFrPJZQtugxp9tnzqlsXyI0aB8Xxu6Vjah7TIK4Oy9H+Zfp+SEL7qetnfoO25pD2xs+7W5658q6aCaa7XBdyQ9PwuYNcQ0k4WOkLSLk15gcji9heE1YjEc1W1TpUseg/waL0lPtX1herEp1d/LHsDbFRqm/6ZBhU7LsZwq6XXAt2lQ+Zq+xyrasp+UHLtd0j7EHvLpKcGgLiGtMWx/UUENltEfbe0S+qPkeLqLoHHMcCujOpRF7AEck9Y/iMDyriX9H0q9s/zN6d8P5Y7traBEzBI/P2f7G8VzJa3q0PotpRitCYC8iJg3TpB0N6GfekI+Ic1jdODmKIrf836EbfwQSceR6Flrzr86OdiL9/vEAbx0n+0IrGX7A5IeAjzAdlHP+XAike3hRNJH/nmsS9DpHbn1aw9CG+9hDHx/EycKpiDYL4CpMSK0SKLqkmQC4VQ/TqHrLeCXxJ6vDAuB2xjWo+sjQLwo/dv2M7yVcNSvLelCEg3phGPpgnXTPLYjcCphr11J0M3PdbQNnM8FvJ6whx7IYI4xEUw+dBbH1RZbOkdRmQJbQ/SsEwTwLib8zi+1/avc8SskHV7S/kpFpfpawD7Jxz3j+zINV9VmcgBTp6z9T8A8/eBSCpVzlVfq20i6zPaTNShpvwfhDKiq7MpoST4JnGv7G2XXnAlIWpUwhJ9GCB3+zg01NaYwllZUSUsL1EHjTcN0mGsQ5e6d6DAngcrpQzKar7c5BNjz7YeoE8f0nc88W0AYrAfYPqzmnOcQpdx5jY7dbJ9T0vZawjg/y0ERtwUhyttXpm0t2swJMzl/aEB5cl02x01y/eLcmhw/ryP4niHE2Y+0PVLxkAy6PRgEHM4HPuMxvPwpYLk4SGH7213GnuuvFY1JOmcBcKPtR3e85lgKoTHnN9Zsqzj/HsA/PEyDtkLaZBfb/p0ITnyceJ5u63rdkr6zdfcdaTyVvOO5c34IPDdzcklaEzjd9mOK56pnbZEu6HJ/Nex3SFtCUQ340TLn6EwjCzLO9jgAFBU2FzUNaih0rxYQzpy887CznlLqdxnCKXMB09MJmJpNqNB4e6Yb6qS1tAdOJ76XfILD020/t+t4c31n1FqNgyuaLg3pw4GvEVVCmxFOxhdWBdrVQROsT0h6dxbUUOgdfZ5BheGfiES/iZ6NFmN5XC4YWGYT2xXsEArq77cz+j0+s6L9/Ynf6HLbF6R1ZnPbX5zsUyxes0bgEiYBTUDjmOYDXEGXpYEW8lMJu/r49Hob4Ae239Dluqnv79h+oYYpRjNU/k6FPh5JUCXt6ByNqqSdbH9Jofk6Atsf7zruaaHMZlNDuvbUtpEua8exfYZwcj4z2VGrA2dUreGSPmN7j5r+hmjJ+0SJjXcaMQ9dxaDC1n3dA+rAbjFNpHnpycQzdXkT+0HSygC2/zqu7TSQ9hdnuSVzgsbQkM4EFIlyTyCS7Q6zfZ5mUNNyEqiFzvlcg6R9gUNSQPF9BCPMB2bK1pgUFfN9ce5axCCA92sGa+RfCIaAUn+YNGDDaTiWZYh7+GZHAu69gAd7hnUqC2tYJgdwhOcATf1cx3yl1tILqXkmIUQ22GeBe0p6LSG8d0RN+7kS8X4csSF+BhHt/iWzSD9Ie6qkpQLJofPx9DcWGqXDXI4aOswp4xDgV4QxJ6LCZ21i8/B5YPNC+5uJ8TbJBMpnbd0J/NZj+LZtn6HQKMs2gYtqNoH/tn2bpGUkLWP7HEmHNBhXY4wJPrbhfW5LjTQJ/q4QC75GkQn/f/RYUZmCJIenvxFIOsn2y1PbfxKVnZ9o2n9yOG8EHJcOvVnSJrbfPcGwizQmeVTRt90l6SZ1p7RsQiFUh0mpA84mAo/ZJndFYtNTFmTbnnCS7wnsrtCoOd/22ROOAeDfikqFXRh8/+Oy4d8GfF+h9SViLd4zBeqKVK1rZ/dbwvslXdPDuNug9f3VEMU1YWPiuf4ZPQvJd8AFCq25b9FjYKgjFgHvVvOKkUw3acPcMTOcwdwaDlq/d9g+gRzNSF+YAZvwZuBCBUVRnp6oyrZpYw9sT1QuZBUf56djE8PdaNDuQ6qozwUgftTTeG6W9EqCBu8W4Dm266jh2tJnNoK6VelcCayvVAFUDMRJepWTppWC8u4a23+TtBPhlDqkbr1Mgf8DibVRFJ7VLKCV/t+28vVEwi45kgbfY3IWfzz3+haCHrwPfJfBd78isYbdRDmTwJWSNrJ9edPOJX0IOMiJxjcFKd5m+735drnfag/gaZkNrsj2vqDQZyuNrBTQEvCMtjaSQv9ou/R3F/COQpOV0r+dKA77RvqcD7b9y5pmd6S2xWSkrDJnzWRPlq6Rnm512lNSctHV6Vp/TPuEUtQFtBKKtOR9oqjl9WDbz5vStaB/dovOkLQ7sC9hTwo4VNIBtj9fc84LiHlloRLjmO0DStotBF6Ttc2O9xE0TfuluyWtVpW8UTKeBQRjw8MIn+5zFPTFMx2w/izhfL8WOD/NTXNeUyv541YnKvib+EzmGl5h+4DkZ3kmwTLyGQb2+ZyEBlp8ayVbOcMqDGjHAXDoEn5S0ptsj61CU04+QCXsga6md9+EUVtsxjURp7yG/UdjvlJrKUUhk1AE7UJlJqGkNxNG5ZNT+9Ntn1nT/1yJeH+H2HRcQGTrzHgGSxpHJhz7DuDThF7EB4jv/yDbl8zGuGYb6q7xdg2JDtMDcdTrqtpPE2XZSEpCrRXvnUQIa5/NsCPzzfQAtRAOlXQWocnxYcJB9TuCnqtTZUxJ/4uDj7YfpeCZP9H2SPCx4l7IKt7+2z1WvoxDMsh/Rzgb/4t4Tj9tu4x+p0l/raq80qb5x7a3rXpG6u51hd7CEzxcYXT1LD0f5xPP6mUMO3lHDMucQyijUrgV2Mf2SR2vvThjveP5rYXkJT0a2IrILLuv7RW7Xj/X57oERcrFtr+i4B3f1vaBY85bgdCPgsjgLK3uk3QxsLeHtUUOtj01SpmZQjETUBVC6J4FPUoFvV7JUMqrIpYWpKD8H4iKiPycMbEWybRtwrTmjcD2+wvtsmDJg5iiPTAOkh5t+0clTuRsHJUB1tzaJMLBtxYxz3SmLy5Z7+5L2AH/SuOptAnr5uUJxlNHZbo44NGyz8VzUlqr1wfWA75ABJO2tf2MmvN/Qoiq/7CqTa7tcgxXep8LfLbqvldL5giVV2j81XZvOni5a20A7Gl795L3fgQ8gqBC+xsNkhXK7LLielF47yZgk2weSkGwS9wDna1y7B0N219K2KcnELSDN5e0OdD2OyVtY/vEkU5mAU0/Z25tXEjsIa4lftP1gCuqbJNkG72J0UrDiXUq03e+KbFubKBI0jujjW1f6G8S9odHETTeD6VZReXngEOd0+ftE+qZ3WLCsdxE0G/fll7fm6hCL31OU3B6JYK6+kiiUvwylzCWKPT9fkQ45A8gqqV/aHtRsW3HsZ9M7JfOZNj2KbUHJJ1CUJMNUVgX7Y3ZgKRlPSYJdy4gu3dnexxdkD1jiuS4621/ebaeuzZI+7C1CN9Tnlr8dkKLeuS+kbQNcJrt2xXauBsQvqGrCu0qbScA2+dVjKm1LdYnJH2q7v2Z2hMsyZiv1FpK4TGZhCW4L6FZkVWfnDWm/VyJeL8wZVI9ClhH0qyUZjMQjt2RqHD7O5FJv7SjKwf2HbatJKiqqD6YLfxd0rYEVQ6EQZw5j8sCdt9iOhnoXXiHX0IIY/8XcW+uRhjqfaGNFt+pRLbpl9PrVxKf51bCwKgTve4VOQf3P4BGm4MUOLofwxvMLPO2TUUaxH3TlWM9wz0ZZDz15mBKgZIiN39pVmPC+5r27YbVAqrOhs76GclY74i/SdogM5pTMkhptUAuWP1TooJiZyKQNzEcVHlDvONEpv44PInB77R+yuAsy6LPa4uIuG92nXDYnaFc1mx2rOb+aoXZCF5VwWNoZpSr6JgW2gY1VEFllWvfR4bwdunfvXLHetEimbZN2MKZlGmGXklDe0AtqeEa4q0EFe7HSt6rrbwrOqezoMMEY4Hu610XTbCxKD5/klZyCf1sS+TTh+9MtuxLCNqmoySNo3/+bZOAVsJniODHp9PrndOxkcBQwrcl7UlUA47V4GIGKzRsXyWpKgO9CwXnAkkrOFF/KnRVVqhp/xFGtf7273DdMlyldpVmu9i+qerNFIx9vqR3AfsQv89cQKPPma2Nkr4ObJAFYxSVtvvXnPpN4ChCU6tvdphPEc/FfSV9kNjrvbf+lFpMklWeVVQeQU1FZS5JYFlgN0k3M50K9amyW7TEbYRzPMPt6VgVNnXIZVxn+/2SPkbsR8vwCNvbSHqJ7WMU+m19Vnp/nXasBA+ejWTFIiTdj9BCfaDtrVIi3ibEszjXcZaktzOFJKoZwDR1TacG57T40r2TUbj+sCYQ+j7bJyqq0p5N6LWNVKVVBa2KUI4RJ6GLLdYntiakQ1YnCk3m0RLzQa2lFClzZT+CLskKHYADXFENYfu9Cr7W5wC7AYdJOgE4yvZPS075DOFEW58I3hxJUFLMSMQ7Q4rYf5EoixYhNvsq22Ui3NNEmXBsviJhxoRj5xKaOhglXVzIzGtLhzlN7EgEbD9N/JaXADulDfIbi42TIZw51aA/Duwy4VAICoBKDa40pjsV1RqPpl/KgDbBx2cXMmSv10BLaKcexzQWkl5IVFJmWZC1VFyS3kTMp79lsJE2kfHTyTh2iCF3dcJ/mFHny7vqT2mMk4nM+StpQJnl4FZ/KEFBeZZCh2VBvk2VQz3Xx1WF16uk8z5AbJ6PJT7njsADmn+UsXgLcKKk36T+78/A4V7EpYR2XcZt/hbiHrp60kEoNDM+THC+5wM9leuGpGMJGtRryGkoUEINZfsaYr2u1RaZCVRlzU7SZR/jmiUsYpQqsm+UBTXyzrZiUCMLPK9DbESzgMyL6C+I25YyrTGmbROm7P13MBqUHUkH7ksAACAASURBVPoePaA0uwfwTyc9xZQcUeVYb0UN1wS2X5f+u5ULlZwpUaZNX3VBh6Z9/CJde23gV7b/JWlzYi2to7VrS5/ZCpIyB93KBAXa+sDrbXcJ4uWfr9sl7QPsBDxdwXIxjlr2CknHEw78fOCpzBm6kYfZAr6n0FKtQlaZtndhvJVrje2fSFqQ7uGjFZXm+4z5DGNRCKAvQyRp/KZiDF3spOOAszXQsNiNmvnWQaF9KuFEM/BO96f19xRgR0mNKs3qAloJi4DTCOfYypLya3qvz0ZLtPqcBMvD4uoi2zdIekxN//+0XZvx3hW2j1NQuz+LGPdLWwSX+8adtj/ToF3XJIG22Jl4Rt9IJEk+hHDSzhhy88VPgEsVVU8mkjfrWIKyde/vKfn4Nqr3Edle/U8pwHork1GkD6FDEtOpkp7jHnQsJ8QXCCmI96TX/0sEiZaEoNZ2xH1SXMuXBL/ctoSu6cEOVqwHMLx2z2koqq8OJirIM6rQvW1/raR5ZvO+APic7e8qtIC7ovj7ZrbYzsBmDW2xPvEXokLzVEK2ZEneu84K5ukHl1JIOpPIJs8LTm9u+9ljzlufMPyfB5xDcNCeafsdhXaZM3pf4Ncp4l1J6zAtJAN0h2wDkDJdv+IW9Bo9j6dWOHYe5VCunFoKXnYiAPMcGE+HOZeQHDTHkHOqAX061RrxDqe2VxL6IqsDFwKXE4GoHXsay9sJXaQtCaf8q4nnb2TTmRwtr7V9WXq9EXCk7fU1w+X0CnqfrYly/rGLZGr/lKqkgA7Xz9/v+aqk5Qkja6wAczJus+yny/pyvqilIHsKOr8OuJfttVOA5nDn6DBVQcO2+D/VlCpl9J69ihMr6Jsy2pLKAHTK8lwvZZF9gDDU97U9Mbd5SjrZj9BVexGxBi9je9+ac34IrNvw/i3txz1VR7VB7nvM/l0ZONX2ZmPOK62gkLSr7S9Ma7zTxEzOe4pq49PcUHBaQSv6Atu3p9erAN+1/fSy9h3GsymjFUkTa/VM2yZUaMkeT1RUvYEIEvzedqkmpKRLiISOv6bXKxOUViMUwGpJDddy3GWC3bU2e0XQ4V62u1TNFPu+hqj8eRhwCpFM8Vjbz2/RRyuh8DF9XUoE2L+VW5tbrYW5vvLr+/0JKqvLbV+g0CbbvO5e17CQeAa7RNdF0lXANk7Jh5IeDnytr71YmgeeTQRabyWSTHbtYw1WUHlmv18mmH6SU2VVH5D0PGL8EHvZ08e0fzEDKsfzbH+7p3H0SotbuMdOtv2SScbXF9p+TklfIYJfeV/FyrZLtQQl7UDsOc6gJ51KhXxCJdyxomOS9V3S/gRFetOKyqlC0iKH9k3tsSmPoZT6N4MrqqiTvXMoEaz8H2LOOaLMvlbodZ1EJFkcTSQ57Gu7VB+5LdomsEl6GfFsLMMUkjmaQtLltjcqzDtToQTuG4oE5D1JSf5E5d3hrtfwnEcPSH6fLW3/Lr1eAzirzH5QUIf/mvAnbUCwplzW1dYo2rddbLE+oZD52YMItv06/xbxTC8JQdZZxXyl1tKLB9j+QO71f0uqykBH0iKCVuIPxOZlb9v/TpHsHzMqUDvbEe8My+Uz2mz/b3JSzgrmA1qdkXdwW9IpDuqbWQ9kpUX4tYw64KqEYz9GiJ4POdUIh9DEsH1oC4egbP9dUWL9adsHJWdSL7B9sKQtiQyUdQjjv+o32x34fHLqKZ2zuyKT/cN9jakhfgnc0MIh9kuieqkvLHaAOkfJlwK6LyGSCcZhIwbOFxN0LH3gIkmPd3Nu/r0ILcZLAWz/WNJQZqMHVDOljvWavv8maUfgq8Rn3J4cfcSk0IDD+wYlDm9JIxzeCfkssiM8eRZZHivaPjs5aX8B7J+c85VBLeAGorLs/2raZMh/ZwuJ7N7ZykDONpJNsmaz4MeRVFRQLKkBrYSZzDp7r+0T1Fxw+n7AHbnXd6RjE0Mtqgw7YNo24b0dSVyLHDQo50mqo9pamAW00nj+qqhmLUNbarixSBv5BwErSnoig+zQVYmKyTqswnDQ4duEw68P3O2oIN+a0II5VFEBVApJB+SdkGnPcSzhBO8Ftn+pYeHxrtVyF+b6vBX4eO71LeTuc42yFLQVEn87cI6CdkxE9fnI+ZKeaft76fsegcurwKC8QuPlFW3b4hTg3Qzbsu8iVcD3AdunERVNIyh+9wqtv42ICi+AN0vaxPa7exjHL9Lc+0hHRdgaxJrWuctc37UBrbJ7bFro8Dl3Ixx9GR33+cS6VIXHE/fkMxlmTZiEovVKBswqaxLVbyIovm8BSiuLVVFtavtPqUlbWvI8WldUThmvYlRiYteSY1NDVdCqCEmH2n6TBlpzX0q/yUnJcb7QFZIcto9M/z2P6XzXRzNIYNuClMBW0/7jBM1fowTMKeJvCgaojJVlY/rdE08TxxD+hizZdod0bNtZG9HSg2WygFbCbVTf71OtSrN9q6TjgI0UbD2XzVRAK13/U8CnNF/80BnzQa2lF2dIeiUhMguRgViXoXYvYOtiNpXtu9PDX8R2xMLw6jRRrEnwn840rpB0JMNZXlfUtJ/HkoG2/PPTxMlEZs9ZNHNyTNWp1tIhKAWtzo5Axh28oKRd17Ec6MhQP7Pk2BDSb/l4lev8nVBsP2W8AzhF0nkMOw+r9GJuBs6V9N269hrw2xcxRMHiCiqJtGn5ZspIrKQTnIbzRd25+f9l+47MGShpWaqd9W0d6zsQm+ZPpj4vTMf6Qp7D+1ljxjNNbvN/ZQkkkt5IZHGNc3jdB/iBpMsYvidHBNNtD+npSDqYentgmviOpHsCBxHOJIigVRU+QeipfAvA9rWSeqkWmgOYSfqJtkHZLwKXSfpGev1S+qNK3JCGVYYdMG2bMKvk/D+FNtxvCPu5Co11+5iOI/O5hPPxwUTCTZ62eNx6Mc2gw78lbU8k02V6mnV20kMk7WP7w2nuPYEeqF9z+GUKoDvZa4soBP7VUG/O9ggtdQ0WZ+tLekdKPDqUkjXUBSFxBZXl+kTlSr7auKzS6RnA9yjXLjUVOi8pSLEikSjZVE+uKb5EBOVuoH99pCYo0m8+H3iC7bsBJB1D3GMTB7WSTbch8TsdTdzrXwKe2rXLFm1b0YxOgraf00GJ+on0V9ZfURdlG+Dhtu8oa98FTnS4ko4AvuGk2ydpK2Ldq8JJwIaSHgF8jtgrfpm4jyZKRvAUKXrbIM3ROwBrScprQ67CQNN3riG71zKtuZOIBDrS3DgyPzad23tA2wS2tgmY08JbCRt8bUkXAmsQfsUlAY+zvW7u9TmSfjBro1m6cJqk04nEbgjf8ZAuqqRVHZT4Cwmawqx69l9MZrsPrZEpqfajNKNCnBrmA1rdMR/UWsqgAZWVCM2PY9NbC4C/EhuIEdiuLOt2Caf0bEe8c9iDqBTINnsXMBBMnseSg+IG7SmEbtXPacbLPk2sVBakqcG0nWptHIJvIQz7b9i+UUFNU0YF1xVbkqs6Stiq5BjJEfVykoMsC4J4FijQgA8S8+FCgvJvHG5Jf8uPad+a376QOb0M8fv+s6J5hmk4X7py858n6d1EJcCWBM1DVdVYK8e67Z8TlWvTQpvx9J5FJulY2zsT2ikrEevYB4iA36vqzmUyAfuVCCf3bOBgYt3eDLiYWLNrtSN6rKCYa7hwfJPe0Cooa/uDCn2ZjBZyN9t9BRHaVBm2xbRtwv9OiRlvIyiNViUqWKpQptv3yrKG03BkOjQ8jskCJvn3JI273jSDDrsR9I0ftP2zNJZja9q/GjhOwRCxBXCK7UN6HM8biOSJBxFJBWcQ91EeqxRP6gF5Oy7bazWyF23fJWl725+gXlMG2/ulxIlTbTdOIpL0ImLOXp5wbD+B0GceSZ7ogN+7J3q/jiizoe/JwFm/Wo/XehnwROAqANu/UVC6lkLSWrZ/VnOszdoxkw7xVp+zAYoB/RuI3+h3JW0nxca2X5u9sH2qpINq2mfVpi+jQbVpGyiqed8KrGn7dQraunVsf6eP/lvgImKdvg/Dupy3M2bOmQO4TUEXXAzIASMJYNOY28vQNoEtS6g8lWYJmFOBQ0/zGUSwWvSnFT4TuErSxrYvAVDogs4nv88AbO+dfBxPS4c+Z/sbhWZfJvwP+YrZxV3QPamr6Id6D6FBOkSFCMxoUGse3TGvqbUUI0W6H8kwb+95PfVdjHhvRlAWzk8O8xhBclj8X8rKyziO75ec1kh6nO0bcu175Z+fBMnJfVGWvdeg/QqEMyRbxC8gqP960QmQdCLwZtutHILJkF45ZcRMOoY9iODFw4Gf5t5aBbjQ9k4l55xG0BVcSc4pXawimQmou1bGyhAUUg3a3o9hzavSTbiG9TMyXYkjqtqnc64juKD/X3p9L+DcvoK+KqGPKTpYcm2XIaoAF+vfEVppI8aHWnJmqz31Zyu0HU/fSNmCz6ZCOHaSTN/CdfIVhAuILMsDbB/WR/8tx3IC4RDJgv47AKvZLqUCkfQ1goLlMCLZYRGwoe3SwMBcwAxm/TZGcpI9j6Cx+XEKyj6+qmo0ndN4Hmg4hm8T9+EqwBOAsVWGSzqSPXA3uUoagpKl1B5QiNMX9Tb60Bor09Sq1fCS9H3bT6t6f5rIKjQk5ce8HPBZwqF/FEympVO43sLMPp1JlP0uDc451Pab0v8/QXwvx5Ojma36XiRdYXvDFte6kkiyONcDLZXrHfTgE0HSswhK4bMZngeqqBB7RfG7T1UpHyESv0TQO7/L9vE9XOsy20/WQI/6HsDFVTZbl+e15tozpnfd9nM26K/4G51LVIpeTs9rR6oouIDhhMSnu0JDUKHDdwjhLH1RCs532luU9H08sVfaxfbj0vp9kZcADaPZRu7eW56w648l6O+H0Jc/rOXYNiKSF+5JJLCtBhyUBVxK2pcmnLv/qtlaSNoLOM6JWlPS6sD2tudsEnlu35PpJt+SXj8U+FGhemseU4KCAvsphB18uSfU/1Y1Iw4ANWvqkN2SfBfX9mHLzGNmMB/UWkqhELtcRGRjX0NotFxkexKO53z/jcX/poGuk9o8ZgeSrgA2daKMSMbmhbY3qjmnV4daVyiqH+9BbKAmFmrVKJ1G2/PPoaFDUNKXiQzku4hN4KrAJ21PRBWaMtVXJ7Sw8jR5t1c54vva7PWBlH15Vp1Dt9D+ccTGKKOZ+gOx2byxov1Ug/5Tdr4spo+x/SiF7tGJtkvpY5LT4p+270qvFwAr2P57SdtWjnVJFxFOhmIgtBddly6O/j6hUeFYMchUs0uEYzNHswZV2YvfomJeKiQJ3An81vad/X2S5pD0g+JmsuxY7r37EBUUzyY+4xnAItu3TX2wHVHliMgw0w6JLmg7DzTs8xnEb3ggwzqtAg60XUVD2qTvqdqEqqCEy/X/5rLjFc7pUidz+s43J4JapxBVz9+33ZnmR9KjgccSdJ/5ytJViTXpsTXnzlrQQUmQPtk7VbDtSbR08tf7CfBbYr25gPjeSzVDJC0kEjkey3DwsXWyRfY5W56z+P6p+H4qvxcFdfEfGA2CVdltl9jeOD9OSdf1sceS9CXg0cCN5PSRJk1akbRCVdC40G7ku082QD4ZaSIHXK7ftxNJplsSdvOrga84dDby7To/rzXXbn2PdUXF5/yy7UM79lcMaj2jrF0fAYqUHLYfA63a84H31zwb6xL7q4ttf0WRvLmt7QN7GMsVtjcsPHfXzpSPJTeO1vbmbKN4v0taw/bva9rnkwSmmkjXFZJWKttTzeD1rykGVGdyXukCVSRHZ/AsJEkvbUi+6H0J6mMRNMgH2P58rk1twkUxQSf3u2aV9FmF/46pfal0g6SPEgkReSrE69yOiWkes4j5oNZSirTB3wi4xPYTkqH8IdulIsFd+p/NiPf8YrVkocIgqjTQp+FQmyuY1BBss6nLvndJOxIZa+8Cruwr6KvQ0isbyy0lbT9HUHRc38e1J0EuUHkHA42Uyg1aCq68x/Y56fXmxHy6aUX7sUF/SZ8qOzdDlZM0d/60nC/XkOhjmjixJF0CPNupek1RzXZG1XfTdizFeaNPtLl/pwnNgHBsCjbej+GN+ox+zjSOLwGHeZgKZC/bu5S0XUAIr+84w8Nc6tF2HmjZd1mgZ6K+p20TSqqlA3XQ/OXb35+gsvsSUY2YVWGuChxu+9El17ie0Ei62vb6imrfL9necoJxv4TQhXkxSZcu4Xbgq7Yvqjl3KkGHJqgK/E35mmsSCShPJSh+/1S2/iiq5X9E/K4HEM6UH9pe1OGaQywFDc/p/N1IKksMK02gSO2PIoKa7yLoo99M6Ma+ocv1C33fZHud8S1b95tVamT0vlXtRr57SS9mENQ4zz3SIyromRdXtNs+s6RN6+c1JRb9w6GB/SjimT3ViR6syz02CZp8zhZ9zWnH+bSQ9hzPIpI/N5C0NhEEffIsD23OQ9Kutr/Qon0+SWDaiXQbEpV9D2XYFq/aX21CVCWvbHtNSesDr7e9Zx/jaYpkm6zn5FROtvl1XYLs81h6IOkmIqH9tvT63kSBxTq5NllizkLC73ctsXasB1xhe5OKvsuSUmptI0kvZ6C5d4FHqRDnMYcxr6m19OKftv8pKcta+5GkPjcPY8X/pon5oNUSh99LerHtb8Hijdsfatr3zcveGpIenZ6b0gWymD3SAhNlGrTMSFxOIXr+UsKR/G9JfWY6fJdBZclCYC2CXqnM0H0asGtyqvwLZk8nzXbbe+keWUArnX9uciRUYRkP0wfexqh+zdbE5mZ14I9NBlFyL/4q/ftASQ+c4J7M4w7bzu6TMZ8TYKFzdIy2/6qogOoD35H0fDek/uyANvfv1NA1oNU0UCXpTUQG8m/JOaeJTcNM40nARZKyca4J3JQ2zUPzgUMz5qGSlnePwvAzBfVY0TELaDsPjIVytLUKCtUMqzChvti0bcJi0KoBngvsSrAl5Okmb6da+zBzTN8paVVCN+Yhbceah+2TgZMlbWL74panbzSNoENXSHoBo89SL5qckh5MODs2IwKLNwLfr2j+CNvbSHqJ7WMUFfEXFPorVjYsfotcAs2kwQYVtEqz41Xfi9vrtr2JsFP+RWhfnA5U6mC2xEWS1rX9g576y7C8pB2ATTWsWQoMKg1LAlofIRKFjkuH3pyem0m0SrO+D3RkhJ9Zciw/ti7P6/nAZgpKsDMIVobtGGSuz2RA663A8ZMEsgoY+n4kbUxoGT6G0HlbAPytKiGtCTSgxS2FK6gN015m5LyqAHFL7AecBjxEoV/+VGI9mXEkO/PGskSM2UAK3O7NaGDomenfL0zQfVsN7bY4jhj79TTTqTyEsCW+BWD7WklPrz9lKjgNOF6hywrw+nRsHvOow22EzZvh9nRsMWxvASDp68AGTonPCoac/Wv6lqSn2r4wvdiUGp3gdK2TgF4C1POYecwHtZZe/ErSPQkB+jMl/RHobdPvEP/LR7zLxP+mhsKGMcuAzdM2zbmS+KUcbyBEvg8jfqNfAiOZ+Tn07lDrgLcRNARlmk8mdAZmDOpGA/FZQqPpWuD8lM0+saZWBhcqM1PQpSqDbKu+rtsHChm557pegPlmSe9jUOa+EyHgW4UmQf+/EA6OUj2lCuTvxZF7gH7uyRPSxuWekl5L0MccUdP+b5I2yAJqkp5EaFP1gUXAuyX1Qv1ZRMv7d06hZaBqEVH1Ohco+57Xsv3NwIUKoe88XdaM61J1wLFERcdzyVV0zOqIGkCSiIBym3mgCb5MzHeNaWubYqZswpRVWubIfGbh9THAMZJe3iLL+4pktx9BZIr/FWgbiKrCLyV9g1yWKkHj+auac6YVdGiCofVQ0uHASsAWwJHAKwgK5r5wCxEM+FCDKqSsuvtPyfFyK3DffIMOiTNtkP9uTmagVdqEcm8l4K3AmrZfJ+mRxNowYv8kZ/Z3k9PpPb2MfBgbA9dMIdHpDcRce0/gRYX3DFTRZz4feILtuwEkHQNcTXUQug22ZFS4fquSYxl+IundNKNBk+2/S3oNod97kKLSdjawCnCGpP9HUFyeaPu3xUaqposdugc8SgV9GPBK4EQiq38X4FETjvng9O/WwP0ZaGptT9hXVchr0y0EtmFAUT4RbJ8p6SriGRExV9clgk4NKbnoJklrliVNzQJOBA4n1sm7xrRti2kn0v0+S+5tCtu/DJNsMfr+zE3wTuB1BF06xN71yFkYxzyWLPwEuFTSycR8/xLgupT8UNzHreMck4/tGyQ9pqbv1wCfV8hhAPyJ2KcMoWmC0TzmPubpB+eR0ZWtBpy2JGY7z+M/BwpqMvKVHRXtGvHPL4koK5me4esv6ynq6WiUmnRV239R8NWPYFJnZheUZORuT5S571PRfnXg/US1GYRDcH/blRVWGlPmrlE9pcVvUUMHlM5dkQi+PI0w1i4APuOehO41oI+BoBKszLpVCB9/FfhNGvv9ge1sX9nHWGYaxft3rkKhAfOUJoGq5IjfcprP/bSgOSKU3QUa6AJdZ3s9RdXsBbY3nu2xjUNyOr6Vnmik/lOQgvYZFhJVMnfafkfFKZ0qjCQ9DFjV9nV17ZpC0plEUDGfmLGja6gNJf0QWBuY8epqSc/JO7Rzz1D278oExdpmPV1vfWI9fTpRPfpjgn7uqJK2uxPZvusBRwMrA/vaPrykbe8Ut8rRa6mlVqmk44kA2C62H5eCXBe5guZX0tnA1q7QF5sEqqAMdU9Vl5JeU/b71bS/Dtg8s0mTzXruJPe7ctWpwE9zb61CUMvtVHFeYxo0SVena3wCeI3tG2fbjpG0HpHM9XLgV7afXXi/E12sBlpTi+lq+9pTZX2POzamjyttP2l8y8rzW+nLzBQknU+wp1zGcHJRaRXblMcy0Xdc0l9et+x2Inkio6bvOymmlU6lpK8Rld6HAU8hEtQ2tP3KPsbTFGXJLZI2t33uTI5jHksWqvZvGfL7OElfIeaWLKlgR4J2c/sx11gt9dW7jTKPuYX5oNY8esVcjHhLehrwSNtHK0TlV7Fdxhs/jxmGpJ1sfynLyiiiLttePfKyd4FKaEvyKBqhks62/SyVUIoU2g05a6aNLg61Fn3nf9dlCN2ue9t+bq7Nd2y/UAOqjnzKWW3wZlpIzot8Ru4CQsdkxunY1EFPSdIJRKVXFpTbAVjN9rY9jen+wJOJ3+tyj9HrSs76jKbqJicth57GsjoR4M7fv+f31Hfx/n0ScK/8/TtX0SZQpdBFWYegW8xvpJeEaiegeULEXIKky2w/OTmE9iQqOi6bjTmvLVKVwmG2L5/tsbTFTNuE2e9c8V5phZHt11S0fxCjtEoTz3cq0TDVGM3CaQQdmlZolJx3qe2nKDQctyYobG60/YiuYym5xspEYGszIuiH7Vrne4M+8xqiiyluXaNFojH0WoW2rbRKc0GBvCO3Tt/2ZMKZfSbDzuxazc+5AEnLE1VbizWyCD27UvtE0vbAR4BziPvx6cC7bB8/wRhWIyimW1Wnjns2C22fQTBLXGj7QEkPB94ym79RsiG3IaqqVunLtk5r6bOJufRW4P+AXavu35Z9/xB4ge2b0+u1gFNsl1YLFAJQyxCVW3tMMhYN9GXK4LI5YCagFlrOMzCW/Qlq3m8wbM+WPk+SHl83PxaSBJYhnOlr2T4gJSU8wPalPY29lU5lsl8+SdzzIuhFFzVJZusTkm4Avgh8lFjHDiKCa6V6R/OYRxHp2VrZdilbkIKufQ8G6/X51CTrKjRnPwQ80PZWktYFNmmTyDKPJQvzQa15/EcjZQFsSJStPkrSAwm6g6eOOXUeMwBJr7f92bbZ9mWBoXHBor4h6eiat0eMUEk/AHYnRF3zwvDZCTOeYdfWodah//zveidBdXhSlREyV9A0I1fSIbbfogrO/aosxRQQPZCgJBL9Z/v9wPa644517Ht3YF/ge8S4nwEcYPvzhXatgr4TjGURoUtzDUHFcnFfG/t0/2a/a/7+HUvjNNtoE6hqO//OJSjovY5lQOvzB6LK4MbZG1UzqEVFx1yDpB8BjyBoq/PO7NnQYWuMaduEGq44zgLhn3KF9pRaVBhJOpCobvgBg+oM95ENr6i4OZoBJe72wG62nzVp3y3H0bVC432Els6zgP8h5u0jbb+vp3FdAawAZBUyF9SMZd+y402ShZIjfE/bu9e0uZag1ypW6VyZa5MFB5clkj5upkE1naIC6FlEAGQDSWsTLAhVQdlXlR13e425GYekI4HlgGysOwN3jfnuH0BU8UPYyrUJPS3GsjZRsfQvSZsTa8IXbf+pov1/ExV0M6ZV3Qck7QlsC6xB0MSd4BL60q4Jsmn++B3xu/4XwULzads/6WHszwM+RzxLIoLKr7d9ekX7fAAqsx8Ptn3TpGOZS9Dc09QqS1CpTJCUdAExt38BOM41FR2SPkMEm55p+zEpqe4M2xtVndMGkm6qshUq2q9h+/d9XHsSKCQgDiTsnVWIhMoDnRJD5zGPMij0Rt9A2DGXA6sCn7T90Q59nWT75bnXpxI27Xtsry9pWSI5ec4zrcyjG+aDWvP4j4aCN/yJwFW5rMPrqjZ085g7kLS8K+gwJV1le4PCsTn9u0p6BcHx+zTgisLbs5Jh18ahNkPjmUoWeodxlGXk7mP7q4V2T7J9ZdssRQU13ItsT0U/J2X7HWb7kvT6KcBetut06pr2fROwaZYJKOnehHNlnUK7LOhbNDIyp0Rp5mHLsVxPOJgusf0ESY8mNE9qA2ot+t+I0Mt4GIN7stIhOJewJAeq2iA5Yd9j+5z0enPiHth0Vgf2H45pVOnMBKZtE2q44vhOgprv/7d332GyVVX6x7/vRRTJOoOOjoLICAwgGUGCAg6ODiZQUAEFVMYM6ohpVIJpRFAJIyAqElQkiAElCUhW5AISBH8qillHJFwJEnx/f+xTt6vrVlV3dVfVqep+P89zn77n1KnTq1PVOXvvtdbBti/rcPy0M4yq1971BzGpa+sZ+gAAIABJREFUXv08jwQaK6svB/b1aPRI6YmkRwHLdBucnME5pz14KOm/mjaXAV4A3Dzd9zxNURpO0yivNYvJwedS+mOtQ1n1vxVlcrNthkg1mHm/7Yer7aWAR9m+t9vnHwVqn53Ybt/AS75Vr0ubUq41vkPphbau7f/ocPwiYDlKGbQH6DLZo2n2+RsGSR8Dvmq7rp5es1K9tjQmb24Z9gKnYSwWmwmVjM23juP7BYBK78DXULIHrwKOd5vqL42xB00zk3UGcRwPfKLdRG+H4/8fZbL0q5QFd20nwQdNJev1I5SWEMsD72+9X45opSrjWNLulEo+7wEWzuR6XC1lZiX90PZmLX+r085wjvHziKkPiRhrD9i2JMPiG7AYMZK+RykR8ctqezNK5lDrzeXi+vNVNk3DCpRBmKFRh5KJDa0ZEbZPB06X9AHbHxpocNN3X/Xx3mrF+u3AE/p1cpU+Hbs0LrSrVW2nuE35tk6r0Ckp5kNl+yvV72Rj9d27263IbVoZvaHtw5sfk7QfpZxNO38cxIRW0+rspYErJP2q2l4NuKVPn+Z2YFHT9qJq3yS2965iap1c6edKmvtt3y8JSY+yfYukaa9ynIaTgXcCNzJRCmTkVQOLa9refYrjZpRpOGKWax5wtf29cXmfl7QypZH9U5g8kT/ypbtGffKqi4FeE9pevcennFX9HhxCybyBzg3Wb6W8tvd9ILX6eY7M37ukLSiTbP8KPBJYCrinS4bGspQSa6va3kfSqpK2sX1Wn0J6QNInmVyq7uB2E2e2D2uJ7VCgUzZHuxLNv5silm9VGS8dy2s1/j6r7+NNthdV2ytSvqdt/35tnydpISXrWZRSVn/uEssFlNJXjbKvj6ZMho3DooKHJa1h++cAKmX5Hm5z3GFt9jUY6Mfk0N9tP1RNWhxp+0iVXljtP6m9Qg/nfmfT/xf3+ZthnDOiiQzWT7RsA1P3zpX0OCaXmP5Vy+OdypY2ju/XQqSnUTLglwE2kITtE9sdqFJa8gCm8ZrRgxd2ecxALZNalBKaN0kahZ5ay1L6fa5q+z+rCau1ur0X2P6ppPdTFpweAWwkScD7WiYKH6yurxvXD6vQ33uDLYDrqsUxU2bWumSbP4NSxvO/VSrCnGL75HbHD9APKRPxm1KyMI+R9FLbuww5jhgvS6u0J3gJZSHug41r8xlofd491aLbxt/qFkD6as1hmdSKue5USccCK0vah7IS57iaY4olfQw4R9IRwD8Dzwf2bnPcl4Gz6bH+/ID0clO5mO0PSXoREzc63+vjwEuvehlQm4lVmleO2b6jujlt5yWUG4/aS7up6n8GfLPNvnb2pNQ1b7ZX676mVZZXqzRk/zrTaAbcgxfM8vkdNQ2+/Qz4QbUy08CLges7PnFisAuaVq33KazfVL+/XwfOl3QHHQbrZuj/bH+rj+cbCtsPS1pNXbJdKydVHw8dRlwDcqtK6bHG17IHZfB/HHwH+D5wA2M0aTrmBnpN2GEl/V3ADbb/1OaxQyl9ArYBrqSUtju65ZxHUl5r76UMeLU2kZ/1JGg1oH84ZVDNVSxvd9U/pgZHUQbqTqMMlL0aWLPL8cdTrmEamWa/rZ7br2urL1AWNzT6Ur6q+pzTyQpellIit53m68iHKOViz5jifI2Sf/s37TPQrrzW0ZSJsoa/ttm3WNN1zrfb7GtnGTf1MbT912pQeRzsD1wkqbmc3BL3Hba3G0IsD6pUCHg1ExMXS3c6uBpwb/T2+ZCkJ1N6+1zVemzT4quGy6vJh2FayMSgo1oe6/S7S3WvdBjwREpZwdUo14+tPed2YWKR3kBUC7S2pWQxfodyn3oZpZdQO7N5zWirsVhsBPWlzGufNN4LGhPrXd8LJK1P+bvfkdIb8IW2r6kWel7J5InCIyiLCR4n6SOUkv3v72Psz+v2oKTH2L6jeV/1N3+VpI8Cn6SUUx32pNY+lMne97n0Gnsr5bUsoptjKZmGPwIuUckwb9tTawbeQRnDWUPS5ZTJ1pf16dwxglJ+MOY0SftSGsU+g3IhfW67lPKon0rZqPMpPVE2apcZ07q6r1UNE1s9q8pvPINScxpK74of2n5fDbE8mokBNVMNqLlPPa+qFb87NVZVSnoK8DW3lI6sHjubktX119bHhkWlEemylLKD2zJx870icI5basZXgxC7UUpKXtr00AqUlbfPaTm+pz5so6RNxtUknmZZO5XyLefa3rYfcTWd99mU/gnnNCZy2t0A9njO51D+PlsHketaDTttkk6krMj/JpNXzrbrqbVfu0zD1n2jqMr+PIjyNwgls/Og2fzch0VtyujGYA36mlDStykTK43swW0pA2yrU1bpn9Ry/KmUbNfGINRuwEq2d206pm3fogb3oX+RSvnD/2Wip9YrKOWkNp/tuWcYz9W2N1VTaUi1lJfpcPygykItUbam3b5qf3PWyFKUwZSDbR/V5fzLQ5kU6ke83WJUm3KbvV77ND3vcsrvyTXV9iaUFdfPbHf8qKmuRxrZ3T9pXlQlaYfm14bqe/QmyntN43r5mH5cL6s0sX8DpSfoVyStDuxq++Mdjp92bx8t2edvU0rfkn5mtQ+ESv+47YHv2t5I0nbAHm7p+6uJsnAn2X7VgGK5gVI95FqXHi2PB062vUOH46f9mjGDWAaRBTYnTPe9QKW6w98kXUxZzHm67ftajnlVm/fstSl9BwVc4AGVkW+n9ZpRJfN2J8r79RqUCbdT20xkDzqugfYai/mhWqyxlO2Hqu09p3t92+76UKWP1lqUv9Wf2H6w3zHH6EimVsx1jwP2Ba6hrJr6br3hRDvVSvtdKRfo6wPfk/Rftr/dcmjrar/W/7dd7TdIktakrHx9vO31qlVfL7L94Q5P2ZFSru7v1fNPAK6l9O4ZthMoA2pHVNu7UVYd7trxGb35b+Cy6qZBlMmz/+xw7MBWoffg9cDbKKtCFzLxe7WIUgqp1RWUAdJ/ZHKJmkW0yV4a4VWWU+ph0upI22/tcki3Vesz5vb9yy6gw4r0adqb0j9haSYyaeos8dKLn1f/FjB1Vum0Mg1HUTV5tS8sLru4nO1+rfQbtJOqbKGz6FBGLPpu0NeEjwD+1fYfAaqBzxOBzSkTrie1HL+e7XWati9SKSG0WA839ZMaZfdo2ZbBu5Ml7d/x6MG7V6VPx3WSDqG8zy7ocvwD1SKdRqmZNehvmcb7JG3tqjeapK3onBnSnDH9EKXccNtyb5LWo/xOPLba/jOwp+0b2xy7ve0LO2QDdlpscWs1kdvI/nsT7TNZ2137QFk13XEyrnrOaZJ+Vz3nnyhlpMdCNYnVKdP845SFdg0nMvlacDfKz27WJbZceujs27T9i+rzd7J5NYlzbXX8HdXfSzvN900PUVbGv7bDsQMhaW2X8tBtr8fcuS/Zg7Zvl7RA0gLbF0n6dJvjHilpN2DLdn8ffVqIdJ/tv0t6qJpM+BPw5G7H9/Ca0au+Z4HNhKTLbG+t0uOteZV8xx5vQzDd94IrKfcHv26duGpot9/2LfSvnHuvWrMcf0SpVHGw7StriKeh3etRx0zTiHZcMm2ar5X2o4xTTce7oWO1BIA1VcrFjsP9e8xAJrViTrP9/mrC5LmUAcqjqpWxn3dVRz1Gwj8Az6hWSV0p6RzKyqlJk1pu6ldRrT58Gk111mtyHKWMybEAtq+X9GWg06QWwMpAY+BypcGG19WUA2qzYfscSZtSJrKupVx8d7qp+yZN5f7qUGWmHC7pg8Cnbd9dvX5sTLkBaj3+Nkq5u55WJUt6EmVgZKtq16WU3hW/mU38I2Kr5o1Oq9aHFEvrDWCvNhuH1cztTGcSsinTcHVJzX97KzDx+jTSqtfaN1B6ofwQWFHS4bY/UW9k0/IApcfIfzPxN1LL4oz5YgjXhE9uTGhV/lTt+4ukdqtEr5G0he3vA0janNLXYyZm83tztqT3AKdQfgdfDnynkeVRw0TrqyjvF28B3k4ZPO42YXcAcA7wZElforwP7dXHeN4InFBlSIjy+tgpg+4RwG+qLIBtgZdKOtFNpZibfBZ4h6u+gNXxn6V9T6pnAxfSvq9Op8UWb6AsWnp/dcwFtFlY1HTt81bb7RbwtGX7h1XmQnO201xZDd16/TCw6+VqwuNASnm9RzAxKdDpb7qX3j7rsGSG2UxfY2bqHZTfu+bFX82TIJ36kt1ZZTFeAnxJ0p9oyjxv8gZKOcaVWfLvo18Lka5WKXd9HGWi8K+0uS9o0u41Y68+xAGwRssChoMkXdenc0+b7a2rjzMqxz8g030vaEyEPnOAE6H91lpe66m2LWl5Scv3O9O3B+1ej1IKLGZLmma/RNvnVbtGte9gDFjKD8a8IGkDygDG8yjlNbYAzrf9rloDi8WqFc2NVPWr3L7/ROPY11FWcDwJuI7y87zCnev+D4ykH9rerKXUQccSE9VA8v9Qfg9FyU57j+2vDi3oiVhOppSKaR5Qe7PtvtTC7vBzutJ2PxprD4yq8jyStgY+ROl78kF3KMVU3RB9nJIFIKZYpSjpfEp/uOY+QLt3KmMyTtqUx1it6eGuq9YHHcsMnn888IlqFfVYkXQRbW4Emv/2qp/N6rTpUQhcP6yf02w0Xmsl7U6ZfH4PsND9aww/MCq9XJ5h+891xzLfDOqaUNJngFUpPTyg1PD/NWXhy1lu6c8j6WbKhMCvql2rAj+hvFa6l9/j2bzeqTSm76Tb4PpIqK5lrqcsmrkV+MEg/q6qDA26ZYNWg8ubAk+h9N75BrCu7f9oc2y7slh9K5s4E1X22Do0LRiz3alvEJK2pHytj5jO8eOizbXMwK6XJd1CmbxdSFmgAYDt2zscvztl4nljykr2lwHvt31am2NPpWTcNUqe7wasbHvWGWa9krQrpZxl84KxD3XK1JK0HHA/5Zp6d8oiwC91+b681vbnBxP9pM/zFGBF2936yTaOnfI1Ywaf/0pg/5YssEM9JmU/B03SP1De0wV8v917QXV/tzsl2611QaU9guXg27wmNWf6Cvg/OmT6Djiuab8eRUyXpGso5TUB3lx9bIyb7A5g+z2tz4v5KZNaMadJ2o/SrPLPlMyfr9t+UNIC4Ke216g1wABA0i6UiYPvMVGmbn/bp3c4/gbKBNj3qwHNtYGP2h5q6YUqlrMpq4lPq9LvXwa81vbzuzznCUyewPtD02Pr2r5poEFPfK6+Dah1OP+0f04zWKk6MI0JSpX+ZzfY/rK69/P4GaW58LRqq7eb9Ow2ETpOZjuR1E99mNS6mVKn/heU8iWN38lxmDDZpGlzGUqWw0NzbSGHpJuADSmTxEfZvrjuQeHpknQe8BLb99Ydy3wx6GtCSaKUgGr0eLscOMMdbrZaJv2XUGUDT/dzj8xr70xNd1Vum+dtR7lu3Ibymn0tcIn71BewGiQ9gIlsl8soJZ+WGFzXRH+fd1FKlh3Z6fpB0pmUUpjNC1w2sb1T67Etz9sRWJfJE09LZECrlG78MGWy7xxKee+32z659djq+AMoPbXWoUzIPR+4zHbbBuuSTqJ8v69jYjLGHm7Z6IFo+jk2fieXZuJ62ZRr1Vtasrdm+rl+0GnRVJfnTKu3j6Qft8bYbt8w9LpgrOl5KzJ50rRj5mi/J1nVoWRi07k7Tch9sMPxs65UIGlDyuTBpMzR6UyyzVW9/pwk7WL7NEn/afuzg42uP1rfRyRdAfy3J2f6ftR2u0zfQcdWW6+xmJtaFou365m1xDWvpHd0O6fb9JWOuSHlB2Oueyywc+vAgEtd7Bd0eE4M3/sppb7+BItT178LtJ3UAu63fb8kVJq93iKprjJhb6aUi1lb0m8pA+C7d3uC7d/TudTeScyuD1Avnjfg8/fyc/o8bVaq1uS3ko4FdgA+rtJMvFs/jz/2eAF/u6Q9gK9U268E2q48HUOzLfnXT7ONZdB/HwPjJRtFXy7pqnbH9pppOGKOpfQI+RFwSTVJMC49te6h9Ay6iPr6CM43A70mtG1JVwN32f6upGWB5SnZj+2On/ak1TTM+PWuWlh0ju1Fkt7PRAbFtX2LbnoaP4PWVbl70H2y6yJJl1AW0WxHKUe2Lv3rC3gKpQRao+TX7sBXgX9rc+yDKhn5r2aiFE6n/iKvAQ6ilMRplIbrmiEg6RhKb8rtKBOzLwPavrYDz7X9Lkk7UV4nd66+jraTWtW5NgCutb23SgWFTsdCyUhbp9Ok7SiTpNa4q+vUxmvxL6uP03pdkPQYlx6PM3GRpE9Qfg+a3ws69ZoC+Cnlve4R1edf1fav2hzXzxKns9W4tt8ROM72tyV1LNUu6fWUv4/7KeUVu/ZP7jTJSumHNlOdSiY2YulUeaK5TOIylN+jvgz0274O2GAQWWBj7LAuj7X7Ob2XklH9Bso9/MiQ9DgmL1ho/F23VqNZrjGhVR33vSq7cehcb6+xmJsub/q/JG1l+/JqY0vaj8uMUinUGKJkakVE7STdYPvpTdsLgB8172s5/kxK6aC3US5U7wCWdpvyLsNSXUgusN128KqH83TMCBo3vfycZrJSdVCqgcjnUbK0flpl1j3dEzWbW48/nNIg/etMHpBoW7u5Gng/ktKLy8AVwL4dBiTGiqS9bH9xSJ/rsW12L3LV00PSY7ut6J3LWr43CyiDj4e7TY+wXjMNR1mVKbOUq9KJkva0Pd1Gw0MlqW1PnlGNN6YmaR9K75jH2l5D0tOAYzyE0siSntvpPWoaz23OoPgwpdfblBkUgzLdVblNj10ALEfpcXMpJbuoYwnrGcRzo+31Wvbd0O4aVdI6lIHSK21/RdLqwK62P950zEm2XyVpv16zyZp+Vo2PywNn296mU9ySPgec7tLntGMmqybKaS+kTJotAm62vXaH40+jXLv8vpevYRRI+oKbSoxV38dvzPRvdTaZktXChlZ2h1Ldkt5KyRz8I2XypmMWuQZckaEXks4CfktZMLYxJYPwqi6/jz8FnulplhKtvtaBTLJKejRL9iY72vb903z+o4BzbW/bh1h+Dny/iuFSD6m6x1yiUgbelIUQl7Y+bvtFNcT0Isrk3BMp/ThXo7z+rtvh+Bll+kbUaSbZVCrVR77ARHbqHcBrplj4EfNIMrUiYhScLelcJjJXXk4pfdJW0wXbgdXN4EqU0ipD13pzAcz25mLOrDTo8ec0k5WqA+FSDuxrTdu/B7oN2qwI3As8t/k0dGhIWq3OH/oNUz9IWpPSH6ZRJhKY6NU0rAmtyjXAkykXt6I0Cf+DpD8C+7TJVppPFjLxWvIQZdX5azsc22um4ciqBrOae4HtRynTM1JUmmrv5ZYeSzH23gw8A/gBQLUo4nGzOaF6b5Q9E80ZFJ+dKoNiCKa7KrfhemATYD3gLuBOSVfavq9P8Zwn6RXAqdX2y4Bz2x3o0oNx36btX1AyYZttIumJwGsknUhLlt0UizEaX9O91TluB57Q4dizVPo13Qe8saqC0G0Q/oeSVgaOo7yH/JUyUdjJPwI/rrKAm6/bxuH65jeSPmP7TZIeA3yb8nXP1IwzJWfwPrAfsJY79JZqMUoZ57tS4jnU9p3VgrH9uxz/c8q19XTdSFlgNohJ1hMomXFHVNu7UTLAdp3m85el9Bfuh3WAzSnlVj9RVcC4fj5PZlQVBzpqs8hwR8rE6kl0z/Iapg9ReoF916UE/naUiapOGpm+Z1Tbl1IWkkaMskY21VqUSeVG5aIX0iHrvLqf30DSStX2Xd0+QTVWcTTw+Gphz/rAi2zXeV0bA5RJrYgYBaaUkWr0ofgs5cJu6ifaFw8qqGnKzcU0TOPn1FgRvmnz0+hc2mNk2O7pJkLSCcB+tu+sth8DHOYRbEzcxmnAMZTBn7rLRJ5PWX1+LpRMBUp5qOOBzzDxOzUfrcOSq4o7lRy6WtJXmWam4ZgZpXKYi9l+WNLfJa001c1ZjJW/2X6gJAyCpEcw+4UqnUrydS1z3KNeS+4O2muBL1QDGItX5XY62PbbASStAOxFeQ/4J+BRswlC0iLKz0+UjPPG934pyoTPO5uOPdX2rm0mIdtl0RwDXEApo7aQya9THcurVc6qJp4OqZ4LpQzhEmy/R6Wv1l3Va849wIu7nHtFYBdKf9tzgBXdvU/PgV0eG2m2PyjpEJVyjpsA/2P7jKme1+2UM32ieu+/9GvK5O3UQfW3xOmszGDB2HuBKyT9gOmV6B3kJOt6ntyH7CJJP+50cMvrwFLAKsCs+2lVHgYerD7+nZLV07fM1DH1wi6PLbHI0PYDwPclbWn7/wYa2fQ9aPt2SQskLXApq/vpLsevQVnYt4Aypvscyj3zyPf9jfnL9kEAKiWjN25UOJJ0IGVxyRKqa9KXUvVLbFxjd3mPPI6yYOLY6rjrJX2ZUokg5qBMakXEKNjB9rtpuuiUdBDw7vpCmrZ+31w80I+gxs04ZyzMYEXQ+o0JLQDbd0gal5KTD9k+uu4gKlvY3qexYfs8SYfafn11ATyftVtVfBJlwLJVT5mGY2aUM1//CtxQlcFZ3H+jy4BdjL6LJb0PeLSkHSgTy9+azQkbg9KSdmgpyfceSdcA75nN+Su9ZlAM1AxW5b6FsrBoE0pW6hdoU1JqBnFMqz+DpHUp2TMAX6Rk7/+my3mPAI6QdLTtN/YY1qHAGylfb6Pc4qT3ZEnb276wOXuhMQhU6fTa/vnqvEdSBkyvlXRJpxKJI7CorGctGR0/AD5AWR1uSTvXtJij1/5LtwLfk/RtJk/eLFG2acwdC1wI3EC5v5rKgQOMpdfeZM292B6iZMQ/1OngHt1N+Z58ktKbbK705J2xXhcXNjlV0hLXiZ1Kfw7YnVUZ1EuAL0n6E5NfG1p9ibKw4kam9/cRMUoez+Qxrweqfe18g7KQYyFN73ldLGv7qpbrnn69/sYIyqRWRNRG0hspgz5PldS8GnQFJjeIHGU93VxI2gq4zvY9kvaglD84vDFwZXtaGWpzhaQ9bJ/cqcbymNyk97oiaIGamoqr9D8al/fjb0l6E3AmkwdT6uhd9XtJ7wZOqbZfDvyxKu0232/wpr2qeBaDAeNgJDO1Kl9jbkwcxoR3A6+jXBO8nlJGuW0WzQz0WpJv2maQQTFQ1WTWAcCzqu2LgYO7TG4tQ7kGW9jHgeNenOSJfkrLU6oN/AX4KnCa7T+2e9IMJrSgLFhYRPcyaM+mTAa0y17oVhr5omr19GaUnlpvANYFJk1qSbrM9tZNmWyLHyqn8Yq9flFD1Po9uRZYuto/m8Ucsyk/OKn8maRD6VDesvKr6t8jq39z1dK2u/ZfaTaISdamjKulKVljv6q2VwNu6RLLbdW16OMp1/dPlIT70zv3lZQs/DcBr5N0BXCJ7Qv6cO6x1vreAUz13vHOpv8vQ8kGqWvw+8WUUrFvp2Rir0T37L7/sz2rRTMRNToRuEqlNxzAS+hcLv5JtnsppftnSWtQXZ9Iehk1XtPG4Mn976UZETEt1cXnY4CPMXm18aKaBsl7JunFlJuLZ1BWmXS9uagm7zaglAf4ImXAa1fbzx5KwCNG0uttHyvpgHaPN9LUR5kmmqsvbm4v6TrbG3Y4/tXA+yil/ETpz/ER2ye1O36USPpFm9223a1c0qBi+UfKzWujbOnllPrydwGr2v7ZsGMaFZJOBo5qWVX8ZtuvbnPskygr87eqdl1KKY/ZMdNgXEg6yvZb6o6jE0mPBNasNn9i+8E644mZqwYwb7K99oDOP28aZUs6g7L6vDHA8SpgA9td+6bUpfm9v2nf+pSFFi8FfmP73/r0uX7csmCh7b4ZnvsCYDkmMsAusz3fy5oBixcftVrUeM2W9Nh+3bdUJal/aPtf+nG+cSXpo5TMy2/RZRHVICdZJa3W7fFO5R0lvZVyffpHJhZZtZYhnRVJawPPp5RGfZztR/fr3OOqH+8dkq6y/YxBxNflcy5F6aU17aolkp5DmeC8gLlXOjzmAUkbU7LDoYydXdvhuM8CR9q+YZrnfSplcdGWlGvlXwC7j1I53uivTGpFRPTBdG8uJF1je+Oqhv5vbX++sW+Y8Ub/SDobeAtlRfbG1Yqg19p+fpfnrMNEv7ALXZrLR8xKy6ritSiruRevKm438FmVv/syE/1i9qBc/O8wlKBnoFNmZ8M4ZHhK2pYy8PJLyuDbk4E9bV9SY1gxC5K+Aby1T6vxO32OaZXkG2ftFoV0WyhSt3bXcJL+iVLu9RXACv0azJ7OgoWZvj5K+hSlhOPfKItELgGutH1fP2IfJeqxt6mkX1Jeo++gvF6vDPyBMmmxT1Uyc6axtO2/ZPuoluM+bfttkr4FS5bWdX96R42MlkVUi7/eOhZR9UrSz4DNB1EasJq42QD4OeVv9FLgKtv39/tzjZte3ztaJqsXUPo6H257rQGG2Va1qGDn6b63V+8FawM3MXnidBz6M0cgaWvgabaPl7QKsLztJRbPVpVG/oUyOfU32vcqbXf+5YAFrvp2xdw1LuWOIiJGUpubi1dR6vN3skjSeykDx8+StIAyAD2vVatqDge2oNy8Xgm83fattQY2PW+mrAhaW9JvqVYEtR7UcvP0B8pEwuLHRjk7UW16dDSrY2WgSi+zd1I1jm2KpY5a+KPiBVMfsoRVbB/ftP1FSW/rV0AD0uh1sxalVNY3q+0X0v31d5QcBjzX9k9g8e/zVyiDyjGeHgPcJOkqJvdJm/Fgc6cJCk00yh75CdwZuE/S1rYvg8Vlm8diYqUqz7srZWLiNMqERz8XrWzCRBk0gFWBnzQmRqpBnhm9Ptp+e/U1rADsBRwP/BMwF3tU9trb9HzgdNvnAkh6LiUL73jgM8Dms4ila/+lpnLVjYUnh87ic42TdwPn2L5b0gco5do/VHNM0/VrStWAQfgBsHfT9+VtlO9L2yyHeabX946FTEyYPkRZZPTagUbYWa99VjerY/Itoh+qCj2bUq5TjqeMhZ3MRNWQZh0XCXc4988pvU0vrf7dNKtgY+QMFj39AAAfLUlEQVRlUisiYnZ6vbl4OaUHwmtt/0HSqsAnhhPqSPsy8L/ATtX2KygDvLMZKBgW2/635hVBklZvc1zj5qnRe6FxI6Xq/6O8+nRGPToG7DTgGEoJz4dr+PwjZ4alFW5X6e/3lWr7lcBINx5vlCVV6f+ycWMVnqQDgW/XGFovlm5MaAHY/n+S5v0ChzH3gQGcc4WpD5lz3gic0MhKo2TH7FljPFNpbnb+ZOBttq8b0Oeasq/ETF8fJb2FUgpoE8rg7hcoA0JzUa+9TbewvU9jw/Z5kg61/XpJs5r0m8b79gWUn+PC6vi+944aUe+3fWq1mn97ymTe0YzHfcGtwPckfZvJpeH6sQhhD9uHtHxfjmE8vi+D1vzeIUpvw27vHetQepNtTbmXuRS4etBBdtCuz2q3klpXSFonlT5iTO0EbARcA2D7d9WCmiU03iMlPY7S+24q61BeD7cBPiFpLeB62zt1f1qMq0xqRUTMTq83F4sopQ0erlbmr83EYPJ8tqwn95Q6WdL+tUXTmzMoAw73NO07nZaMC9vtJrrGgu0Dqo971x1Lk4dsH113EHPAayg9tT5FuYG+grJKfxw8nskDyg9U+8bB1ZI+R1mZCCW7s67BlJilqifGsf3uqeUx6Cs5ADcDhwBrUMq83UVpIn59HcFUfR9a3QXcZvsh21s0dtp+7yBj6XHhQq+vj8sAnwQWNmcKzVGHAVdKmtTbtMvxv5f0buCUavvlwB+rv/u/d35aX2jShvQCyuK51ShjObPuHTWiGouVdgSOs/1tSR+uM6Ae/Kr698jqXz+N8/dloKrFBBtIWrHavnuKp5wA3A0cUW3vRsmI3GVgQXa2su3Dm3dI2q/L8VsA11VlOqddki1iRDxg25IMi0sFtiXpRZT37CcCf6K8990MrNvhKQ8DD1Yf/149J/1B57BMakVEzE6vNxeXANtU9fvPA35IuTleolzdPHO2pPdQBgxM+Z58p1GybxRL81V91NYFVmopy7ciU6wkqn7+T2s+blx66UjakfJ1N8d+cA2hfKsq9XQmXZqIx5QOpvRyal6xfihlsmvUnQhcJenMavslTDQIH3VvpJQubZSWuZRSxirGULVQ5SeSVh1ETy1JT6JMPjdKs1xK6Qn0m35/rhHwDeBOygre39YcC5S/y40pk2oC1qOUs1lJ0httn1dncF20e338YqeDbc+XsnbYPlHSQmC7atfOU2Q87AYcAHy92r682rcUpdzkILVma3wa2Bm4wZ7TzdF/K+lYYAfg41VG3IKaY5qWAS9GGNvvy6DNoOzYep7ca/aiqn9PHfaklOFvtlebfQ1TZu1GjCKV+tlnVa9jK0vah3LPeVyHp3yIMon7XdsbSdqO0sajk7uBGyiLdI4bRG/DGC2a29dCERGDJeksyqDLDpRBj/soDXs36HD8NbY3lvRW4NFVltePOh0/X3RoCL24TN8oNoaW9GLKINGLmOhZASUb7xTbV3R43uuA/YAnAddRLtSuHIdeUJKOAZalDAR9jrK6+SrbQ69B3/I70zCSvyujTNK1tjeaat+oqrIotqk2L7GdvhJRi6rc20aUvkV96anVdO7zKWV6GxnNewC7295htuceNZJutL1e3XE0SPoa8AHbN1Xb61AWA7wL+JrtDeuMr5u8PnbXWs5oEBPSs9W4b2javgh4ju1BZ4jVStKylIH7G2z/VNITgKeP8CQykj5t+22SvkWb0nF9ei8Yu+/LsFQTfI2yY1tR+vV0LDsm6WTgKNvfr7Y3B95s+9VDChlJr6RMkG/N5HKvKwB/t/2cYcUSMSxVH9B3AM+ljPeca/v8DsdebXtTST8CNrL9925jZ9X4zNbAMygZ6ldQrn8uGMTXEvVLplZExOzsSrm5ONT2ndXNRbeyeZL0TEpmVmMiICvsOjSEtn1NzXF1ZPsbwDckPdP2lT08dT9K8/bv296uyvj66ECC7L8tba8v6XrbB0k6DDi7jkDGuZzjiOm1t8ioWRa42/bxklaRtLrtdhOeI6VqYH4gEyWkAMik7FgbRE+thlVsH9+0/UVJbxvg56vTFZKebvuGugOprNmY0AKw/WNJa9u+tSw4Hl3VNdTIXkfVpddyRlW58HcCT2Hy6/UwFiO1/pK9i1LJ4GL6369pZNi+l6YeQ7Z/D/y+voimpbHoYGBZj2P6fRmWXsuObUJ5v2lMZq8K/KQacB9WKb8rKD+/f6S8JjUsoqaSuxFDcA1wp+3ptJq4U9LylGpHX5L0J5oWjrVqGp9ZG3g+pd/9u4BHzz7sGEXjNGgRETFyZnBz8TbgvcCZtm+S9FTgosFGORbGuSH0TpJuomTpnQOsD7zd9skdjr/f9v2SkPQo27dUTUzHwX3Vx3slPRG4HXjCMAOQtL3tC1tKPi5mu7XRcnTX3FsESi+Bbr1FRoakA4BNKatxjweWpvSo2qrb80bE54G3AwuZKGMbY8z2xQM8/e2S9mCiB+crKa+/c9HWwF4j1CvkJklHM7mf0o+rrIAHa4opZqfXckanUfrlfo4+v143ymy3WGS78bvVmqnxEeCvlAyzfvdrilmwvbD674Yd+iMN8j0iei87VnsJv6pP4m2SXttaAlXStsD36ogrYsA2B3aXdBuTKxu0u857MWX84e2UReErUbLl25J0BrAB8HPKRNirKBUUYo5K+cGIiBpIWraaEAsmyp1J+hilpMaXx6UEmqTrbG8oaSfgBZR0+ku6pMWfCexNmeDcHrgDWNr2fwwr5pmqsuiOpMT9v9Xuz9keZIZCawwH2T5A0vFtHrbtcegFNVKqclqNFecXTtFbZGRIuo5S7u2axmtFlUU48o2yJf3A9jhM2scUJF1me2tJi5hccqoxGbNiHz7HapTX3mdWn+MK4K22fz3bc4+a6mtdQjX4N3SSHg28iTLZBqWf0meA+4Flbf+1jrhi5mZQzmih7U0GFMsvgSdTrgUFrAz8AfgjsE/TREnj+JEqzxlLai0ZWe0bi3uacTbOZcck3Ujpg/gJyoT1IcCmtp9Za2ARA9DP6zxJVzb/nUh6F3BMU/WfjSjVf1J+eY7KpFZExBBVpQc/Dyxve1VJGwCvt/2mmkOrVa+9yUaJpJtsryvpc8Dpts+Zbp80Sc+mrDg6x/YD1b7FpeBGTTW490ZKvXpT6r8fbfv+GmJZynYyXOYxSVfZfoYmehUuR+lPNw6TWv8DLEXJ9G0uIZVSYbEESScAb2spE3poJvEjeifpu5SeqB+jlP36E7CZ7S07HH9gdcyZTH69/ksfYjmOcu14brX9XOCllOzjw1sXP0g6hJJhNu97KI2a9EcaDS1lxx5ne+TLjlXXrx+nlERcAfgS8PG53jsvYrZaFww0FjdW1X8+RKn+88EsJJy7MqkVETFEkn4AvAz4ZlNmwbxfdTnOjY+rwemXUCbinkFZZXvWTC+e2q3wHBWSTqXUeW+UVtwNWMn2rjXEcitwBnD8uGQWRf+oNLP5APDPlMnwjwGvAb5s+8g6Y5sOSe3KznpIPVpizLRb5Z+V/8OR/ndzTzWAfD8lM6pRzuhLncqVVaUwW7kfvwOSbrD99JZ9jUG562xv2PLYImA5SiZKo0RhXzJCY3aq7IPVKdcj72l6aBFwve2HaglsnmhTduxSygLJoS+865WkR1JKi+4ALE8py39K92dFROu4yThX/4mZyaRWRMQQNUpONb+5TjerJ0ZXtWr+LtsPVxN0K9r+wwzPNbIXXpJ+bHudqfYNKZYVgFdQSjkuAL4AnGL77mHHEvWomnm/A3guZXDyXNvn1xtVRP9VZdK2bcnUurh1MDz6T9IttOl/N41+LRFTknQecAGTe7btQFno9cNRXeQUMWrGuexY9R7/DUqvoFUoPfwesL1LrYFFjLg2k1pjW/0nZuYRUx8SERF99GtJWwKWtDSwH3BzzTHFDEja3vaFknZu2td8yNdmeOpRXm1yjaQtbH8fQNLmwNV1BGJ7EXAccFxVxvHLwKcknU65if1ZHXHFUF0D3Gl7/7oD6ZWkfwAOoJQpMnAZcHAGyqODw4ArJZ1Wbe9CWdUdg3eX7bPrDiJmr03fu8UP0Sbbqd11XjPbM73Oa7Yb5b3g69X25dW+pYC2WfCSXgQ8q9r8nu2z+hBH9En1+/Jx4HGU362+9VeMrvawfUhVdmx7StmxY4BxKDu2D7AW8D7bB0t6K/DqmmOKGAdq2d6VsijkUNt3VtV/xu4+MaYvmVoREUMk6R+Bw4F/o7wJnwfsl4HM8SPpQNsHSjqeMkii5o8z7XUy4uUHb6bcdP2q2rUq8BPgIcrXPLReRpKWAnakZGo9BTiJUoN+G+CjttccVixRjyqD4l+A24B7GvvHpKfW+ZTyOI1SnrtTMnH+rb6oYpRJWocyUAdwYcquDkf6381fkg6yfUB1nddqxtd5s4zpf4DNKNc7AK8Errb93mHHEu1J+hnwQttZtDhE41x2TNLRwN+B7W3/q6THAOfZ3qzm0CJGmqT1bN9YdxxRn0xqRUREzICk/2LJySyq/2P7ky3Hr267XV+G1vOO7A1Y1S+gI9u3DTGWW4GLgM/bvqLlsSNs7zusWKIenX4fh/l7OFPteim2660SEfVK/7uQtJTth6c+ckbnXhN4J2VxTnPPtra/X5KuBza0/fdGbMC147CYY76QdLntreqOY74Z57JjjQWNLe0JluipFzFfdMmsBiCZr9GQ8oMREUMkaRVKiYGnMPnmdeirPWPWlq8+rkVZNfsNysTWC4Gr2hx/OrCJpAtsP6fLebs9VqtRmSyoBnG+aPvgdo9nQmt+GJXfxxk6T9IrgFOr7ZcB59YYT0S0YXu7umOI2v1C0jnAVylZkv1cFXwapUTa52jq2TaFlYG/VP9fqY+xRH9cLemrlJKSzdmd/ShXGZ2Nc9mxB6t7G8Pi8YJkH8S8ZXsFAEkfAn5PqcgiSmWLJ9QYWoyYZGpFRAyRpCuAS1my4fgZtQUVsyLpEmDHqscTklYAvm37WS3HXUsZvHgj8KnW87RmdkV3kq6y/Yy644joRdPKQwHLMfE+sBTw16w8jBgNkvawfbKkd7R7PO/Z84ekZYEXAK+gZICcBZxi+7I+nHuh7U16OP4VlH5NF1HeR54FvMf2V2cbS/THKJWrjPEgaXfg5ZTXlxMoC53eb/u0rk+MmOMk/ag127Ldvpi/kqkVETFcy9p+d91BRF89HnigafuBal+rVwAvobz3rjCEuOa6yyUdRVk53dxPKX1OYmQ1Vh4CSHos8DRgmfoiiogOlqs+5v16nrN9LyWr9tSq183hwMWUxQiz9S1JbwLOZHJWz19aD5S0gNJ3ZwtKhQCAd9v+Qx/iiD6xvXfdMcR4sf0lSQsp1ToEvCQ92SIAuKea9D2FsijwlTTd90ckUysiYogkfRi4wvZ36o4l+kPSf1NKXpxZ7XoJ8FXbH+tw/PNtnz2s+Oaqpj4njQsZkT4nMSYkvQ7YD3gScB1lkPKKKUqTRsQQVeWg9rW9RHZ1zC+Snk3JpHgecDXlOm/WVRYkteu1attP7XD81bY3ne3njcGR9CTgSKDRV+tSYD/bv6kvqoiI8SPpKZSFJFtR7vkvB95m+5f1RRWjJJNaERFDVJWeWo6yGvNBJgbiU3JqjEnaGNim2rzE9rVdjl0JOIBSMgbKat+Dbd812CjnhqZSUGKijFuDUxIqxoGkGygr7b9ve0NJawMftb1zzaFFRJOUug1JvwSupWRrfdN2bavEJf0P8GeWzFJfIrMr6iHpfODLlB4wAHsAu9veob6oIiIi5p5MakVE1EyS+tx0OkaYpDOAGyk10wFeBWyQwezpkXRA9d+1KJMC36BMbL0QuMr2HnXFFjFdkn5oezNJ1wGb2/6bpJtsr1t3bBExQdKngKVJqdt5S9KKtu/u8zm3t32hpLbXfra/1uF5v2AiQ735+LaZXTF8kq6zveFU+yIiojtJawJHA4+3vZ6k9YEX2f5wzaHFiEhPrYiIIZJ0sO0PNm0voKzk272+qGLI1rD90qbtg6qB7ZgG2wcBSLoE2Nj2omr7QODbNYYW0YvfSFoZ+DpwvqQ7gNtqjikiltQYiD64aZ+BlLqd4yS9y/YhwIclLfG47X1ncfpnAxdSFuQscWqg7aQWsA7wJmDr6rhLgWNmEUf03+2S9gC+Um2/Eri9xngiIsbVccD+wLEAtq+X9GUgk1oBZFIrImLYnizpvbY/JulRlFImHUvVxZx0n6StbV8GIGkr4L6aYxpHjwceaNp+oNoXMfJs71T998CqP9xKwDk1hhQRbdjeru4YojY3Vx8X9vvEthtZ56+z/XAPTz0BuBs4otrerdq3ax/Di9l5DaWn1qcoE49XAHvVGVBExJha1vZVLQtLHqormBg9mdSKiBiu1wBfkvReYDvgO7Y/XXNMMVxvAE6semsB3AHsWWM84+pE4CpJZ1bbLwG+WF84ETNj++K6Y4iI9iR9sN1+2we32x9zh+1vVR9PAJC0rO17+/xpfiHpHEp5ywunUY58PdvrNG1fJOnHfY4pZudgYE/bdwBIeixwKOUeMCIipu/PktagKrsr6WXA7+sNKUbJgroDiIiYDyRtLGljYCPgcODlwE+BS6r9MU/Y/pHtDYD1gfVtb2T7+sbjkjLBNQ22PwLsTZkUvAPY2/bH6o0qIiLmmHua/j0MPB94Sp0BxXBJemY1cXRLtb2BpM/06fRrA98F3kyZ4DpK0tZdjr9G0hZNsW0OXN2nWKI/1m9MaAHY/gvl/i8iInrzZkrpwbUl/RZ4G2WBcAQAmnoxUEREzFZVXqoT205vhgBA0jW2M9EZERExYqrS0efa3rbuWGI4JP0AeBnwTdsbVftutL1enz/PYygL33a3vVSHY24G1gJ+Ve1aFfgJpRyTba/fz5iid5J+BGzbkql1se2n1xtZRMT4kLQU8HHb75S0HLCg0Us7oiHlByMihiA9GaIHS3Yjj4iIiFGwLPCkuoOI4bL965aeHr30wepK0rMpFRyeR8m66tYf63n9+rwxMIcBV0o6rdreBfhIjfFERIwd2w83Mpdt31N3PDGaMqkVETFkknYE1gWWaexLb4ZokhTqiIiIESDpBibel5cCVqH0zIn549eStgQsaWlgP+DmfpxY0i+Ba4FTgf2nGrizfVs/Pm8Mju0TJV0NNKpw7Gw7fc8iInp3raRvAqdRykADYPtr9YUUoySTWhERQyTpGMoq3+2Az1HKmVxVa1AxapKpFRERMRpe0PT/h4A/2n6ormCiFm+glAX8Z+C3wHmUPh/9sL7tu/t0rhgR1SRWJrIiImZnGeB2JhYJQFlolEmtANJTKyJiqCRdb3v9po/LA2fb3qbu2GI4JC1lu2PZGklH2X7LMGOKiIiICVUfnI5s/2VYscTcI+ldtg+RdES7x23vO+yYIiIiRkVzT626Y4nRlUytiIjhuq/6eK+kJ1JWnjyhxnhi+H4q6Qzg+HblSDKhFRERUbuFlNXAAlYF7qj+vzLwK2D1+kKLYZJ0ArCf7Tur7ccAh9l+zSxO2yhfuHC28UVERMw1VU+treqOI0ZbJrUiIobrLEkrA58ArqEMmHyu3pBiyDYAXgF8TtIC4AvAKSk/ExERMRpsrw4g6TjgTNvfqbafD7ykzthi6NZvTGgB2L5D0kazOaHtb1UfTwCQtKzte2cXZkRExJxyXXpqRTcpPxgRURNJjwKWsX1X3bFEPSQ9G/gyZeX36cCHbP+s3qgiIiICQNINtp8+1b6YuyT9CNjW9h3V9mOBi/vxOyDpmcDngeVtryppA+D1tt8023NHRESMM0nHt9ntWWZKxxySTK2IiCGStCzwX8CqtveRtKqkbWyfVXdsMRxVfegdgb2BpwCHAV8CtgG+A6xZW3ARERHR7HeS3g+cXG3vDvyuxnhi+A4DrpR0WrW9C/CRPp3708C/A98EsP0jSc/q07kjIiLGlu29644hRlsmtSIihut4Sv38Z1bbv6WkU2dSa/74KXAR8AnbVzTtPz0DGRERESPllcABwJmUktGXVPtinrB9oqSrge2rXTu364k6i/P/WlLzrof7de6IiIhxVWVqLVFeLpla0ZBJrYiI4VrD9sslvRLA9r1quZONuavK0vqi7YPbPW573yGHFBERER3Y/guwX6fHJR1p+61DDCnq8VjgHtvHS1pF0uq2f9GH8/5a0paAJS1N+V27uQ/njYiIGHfNC7+XAXYi2fLRJJNaERHD9YCkR1OtOJG0BvC3ekOKYbH9sKQXAG0ntSIiImKsbFV3ADFYkg4ANgXWolRcWJpSjrIfP/s3AIcD/0yp3nAe8OY+nDciImKs2T6jeVvSV4DLagonRlAmtSIihusA4BzgyZK+RLkh3qvWiGLYLpd0FPBV4J7GTtvX1BdSRERERLSxE7ARcA2A7d9JWqEfJ7b9Z0qftoiIiOjuacDj6g4iRkcmtSIihmtP4NvA6cCtwH7VDW3MHxtWH5uztcxEr4aIiIiIGA0P2LakRpWF5fp1YkknUO4F7qy2HwMcln4hEREx30laRBknUfXxD8C7aw0qRkomtSIihuvzwDbADsAawLWSLrF9eL1hxbDY3q7uGCIiIqIv0hd1Dqv63p4l6VhgZUn7AK8BjuvTp1i/MaEFYPsOSRv16dwRERFjy3ZfsqJj7pLtumOIiJhXJC0FbAZsR6mlf5/tteuNKoZF0kqUMpTPqnZdDBxs+676ooqIiIheSdrL9hfrjiMGR9INwDuA51ImMc+1fX6fzv0jYFvbd1TbjwUutv30fpw/IiJi3EjauNvjadsQDcnUiogYIkkXAMsBVwKXApvZ/lO9UcWQfQG4Edi12n4VpfH4zrVFFBEREUuQtCawP7AaTffOtrevPn6xnshiiK4B7rS9/wDOfRhwpaTTqu1dgI8M4PNERESMi8Oa/t+cidMoQ5i2DQEkUysiYqgkfQrYBPgbcDlwCXCl7ftqDSyGRtJ1tjecal9ERETUq8qkOQZYCDzc2G97YW1BxVBJugX4F+A24J7Gftvr9+n86zAxQHeh7R/347wRERHjTNKjgTcBW1Mmsy4FjrZ9f62BxchIplZExBDZfjuApBWAvSgZOv8EPKrGsGK47pO0te3LACRtBWRSMyIiYvQ8ZPvouoOIWv37gM//WOAe28dLWkXS6rZ/MeDPGRERMepOAO4Gjqi2dwNOZKLiTcxzydSKiBgiSW8BtqFka/2SstrkUtsX1hlXDI+kDSgXYytVu+4A9rR9fX1RRURERCtJBwJ/As6kZNkDYPsvdcUUc4ekA4BNgbVsrynpicBptreqObSIiIhaSfqx7XWm2hfzVzK1IiKGaxngk8BC2w/VHUzU4m7bG0haEcD23ZJWrzuoiIiIWMKe1cfmfkoGnlpDLDH37ARsROnbhe3fVdUcIiIi5rtrJG1h+/sAkjYHrq45phghmdSKiBgi24fWHUPU7gxgY9t3N+07nZK9FxERESPCdhadxCA9YNuSDCBpuboDioiIqJOkGygLiJYGrpD0q2p7NeCWOmOL0ZJJrYiIiCGQtDawLrCSpJ2bHlqRksEXERERI0DS9rYvbHm/Xsz214YdU8wtkgScJelYYGVJ+wCvAY6rN7KIiIhavaDuAGI8ZFIrIiJiONaiXKCtDLywaf8iYJ9aIoqIiIh2ng1cyOT36wYDmdSKWakytHYB3gHcTblO/KDt8+uNLCIioj62b6s7hhgPsl13DBEREfOGpGfavrLuOCIiIiKiPpJOAI6y/cO6Y4mIiIgYJ8nUioiIGK6dJN0E3AecA6wPvN32yfWGFREREa0k7UgpH7y4VLDtg+uLKOaQzYHdJd0G3NPYaXv9+kKKiIiIGH2Z1IqIiBiu59p+l6SdgF8COwOXAJnUioiIGCGSjgGWBbYDPge8DLiq1qBiLvn3ugOIiIiIGEeZ1IqIiBiupauPOwKn2b6r9AqPiIiIEbOl7fUlXW/7IEmHAWfXHVTMDekbEhERETEzC+oOICIiYp75lqRbgE2ACyStAtxfc0wRERGxpPuqj/dKeiLwIPCEGuOJiIiIiJj3MqkVERExRLbfA2wJbGr7QUoPhRfXG1VERES0cZaklYFDgIWUssFfqTWiiIiIiIh5TrbrjiEiImLOk7S97Qsl7dzucdtfG3ZMERER0ZmkRwNvBLYBDFwKHG07GdYRERERETVJT62IiIjheDZwIfBCysBYg6rtTGpFRESMlhOARcAR1fZuwInArrVFFBERERExzyVTKyIiYogkLQO8FHgKE4tLbPvg2oKKiIiIJUj6se11ptoXERERERHDk55aERERw/V1SrbWg8Bfm/5FRETEaLlG0haNDUmbA1fXGE9ERERExLyXTK2IiIghknSj7fXqjiMiIiK6k3QzsBbwq2rXqsBPgIcoWdbr1xVbRERERMR8lZ5aERERw3WFpKfbvqHuQCIiIqKr59UdQERERERETJZMrYiIiCGQdANgyoKSpwG3An8DRFZ7R0RERERERERETCmTWhEREUMgabVuj9u+bVixREREREREREREjKNMakVERERERERERERERMTIW1B3ABERERERERERERERERFTyaRWREREREREREREREREjLxMakVERERERERERERERMTIy6RWREREREREREREREREjLxMakVERERERERERERERMTI+/9MlOF5kFl5gAAAAABJRU5ErkJggg==\n"
          },
          "metadata": {
            "needs_background": "light"
          }
        }
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "### Valor R de correlación\n"
      ],
      "metadata": {
        "id": "JtiDJcqsoLRn"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "from sklearn.feature_selection import r_regression\n",
        "r_value = r_regression(dfx, dfy)\n",
        "r_value #tupla de correlacion de la variable "
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "3tucoosUoR-J",
        "outputId": "8e6f61b7-d0ae-4b13-af24-5fefb3e2825c"
      },
      "execution_count": 145,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "array([-0.12878418, -0.18439089, -0.12878418, -0.12878418, -0.12878418,\n",
              "       -0.12878418, -0.18439089, -0.12878418, -0.12878418, -0.12878418,\n",
              "       -0.18439089,  0.1893885 , -0.12878418,  0.1893885 ,  0.1893885 ,\n",
              "        0.1893885 ,  0.1893885 ,  0.1893885 ,  0.1893885 , -0.12878418,\n",
              "       -0.12878418, -0.12878418, -0.12878418, -0.12878418, -0.12878418,\n",
              "       -0.22870875, -0.12878418, -0.12878418, -0.12878418, -0.12878418,\n",
              "       -0.18439089,  0.1893885 , -0.04036037,  0.1893885 ,  0.22819795,\n",
              "       -0.10229563, -0.18439089,  0.1893885 ,  0.1893885 ,  0.1893885 ,\n",
              "       -0.12878418, -0.12878418, -0.12878418, -0.12878418,  0.1893885 ,\n",
              "        0.1893885 , -0.04036037,  0.1893885 , -0.12878418, -0.18439089,\n",
              "       -0.18439089, -0.18439089, -0.12878418, -0.12878418,  0.1893885 ,\n",
              "        0.1893885 , -0.12878418, -0.10229563, -0.12878418, -0.12878418,\n",
              "       -0.12878418, -0.12878418, -0.12878418, -0.12878418, -0.18439089,\n",
              "       -0.12878418, -0.12878418, -0.22870875, -0.18439089, -0.12878418,\n",
              "       -0.12878418, -0.12878418, -0.12878418, -0.18439089, -0.12878418,\n",
              "        0.0792118 , -0.12878418, -0.12878418, -0.12878418, -0.12878418,\n",
              "       -0.12878418, -0.04036037, -0.04036037, -0.05940885, -0.04036037,\n",
              "        0.1893885 ,         nan,  0.1893885 ,  0.2820096 , -0.12878418,\n",
              "        0.14798801,  0.29600412,  0.5150844 ,  0.04338609,  0.04338609,\n",
              "        0.1893885 ,  0.33624221,  0.56401919,  0.29600412,  0.34117647,\n",
              "        0.22235372,  0.04338609,  0.1893885 ,  0.21783246,  0.06295116,\n",
              "        0.1893885 ,  0.1227144 , -0.00356631, -0.12878418, -0.12878418,\n",
              "       -0.26754242, -0.18439089,  0.06295116, -0.18439089, -0.12878418,\n",
              "        0.1893885 , -0.12878418,  0.01176471, -0.12878418, -0.18439089,\n",
              "       -0.12878418,  0.1893885 ,  0.04338609,  0.04338609,  0.21783246,\n",
              "        0.15185132, -0.12878418, -0.18439089, -0.12878418, -0.27647059,\n",
              "       -0.10846523])"
            ]
          },
          "metadata": {},
          "execution_count": 145
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "Rdf_results = pd.DataFrame(r_value, index=dfx.columns)\n",
        "Rdf_results.columns = ['r_value']\n",
        "Rdf_results.sort_values('r_value', inplace = True, ascending = False) #las variables más linealmente relacionada de mayor a menor \n",
        "Rdf_results"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 424
        },
        "id": "hYtlkA9Dok6F",
        "outputId": "b1875b90-0d33-4dd5-b51d-ca1dc67d6f0d"
      },
      "execution_count": 146,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "                   r_value\n",
              "nausea            0.564019\n",
              "abdominal_pain    0.515084\n",
              "yellowish_skin    0.341176\n",
              "loss_of_appetite  0.336242\n",
              "diarrhoea         0.296004\n",
              "...                    ...\n",
              "family_history   -0.228709\n",
              "dizziness        -0.228709\n",
              "lethargy         -0.267542\n",
              "skin_rash        -0.276471\n",
              "fluid_overload         NaN\n",
              "\n",
              "[131 rows x 1 columns]"
            ],
            "text/html": [
              "\n",
              "  <div id=\"df-a5bdc687-30a7-456b-bcd1-b26f60132d3b\">\n",
              "    <div class=\"colab-df-container\">\n",
              "      <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>r_value</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>nausea</th>\n",
              "      <td>0.564019</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>abdominal_pain</th>\n",
              "      <td>0.515084</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>yellowish_skin</th>\n",
              "      <td>0.341176</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>loss_of_appetite</th>\n",
              "      <td>0.336242</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>diarrhoea</th>\n",
              "      <td>0.296004</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>...</th>\n",
              "      <td>...</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>family_history</th>\n",
              "      <td>-0.228709</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>dizziness</th>\n",
              "      <td>-0.228709</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>lethargy</th>\n",
              "      <td>-0.267542</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>skin_rash</th>\n",
              "      <td>-0.276471</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>fluid_overload</th>\n",
              "      <td>NaN</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "<p>131 rows × 1 columns</p>\n",
              "</div>\n",
              "      <button class=\"colab-df-convert\" onclick=\"convertToInteractive('df-a5bdc687-30a7-456b-bcd1-b26f60132d3b')\"\n",
              "              title=\"Convert this dataframe to an interactive table.\"\n",
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              "      \n",
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              "\n",
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              "\n",
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              "        buttonEl.style.display =\n",
              "          google.colab.kernel.accessAllowed ? 'block' : 'none';\n",
              "\n",
              "        async function convertToInteractive(key) {\n",
              "          const element = document.querySelector('#df-a5bdc687-30a7-456b-bcd1-b26f60132d3b');\n",
              "          const dataTable =\n",
              "            await google.colab.kernel.invokeFunction('convertToInteractive',\n",
              "                                                     [key], {});\n",
              "          if (!dataTable) return;\n",
              "\n",
              "          const docLinkHtml = 'Like what you see? Visit the ' +\n",
              "            '<a target=\"_blank\" href=https://colab.research.google.com/notebooks/data_table.ipynb>data table notebook</a>'\n",
              "            + ' to learn more about interactive tables.';\n",
              "          element.innerHTML = '';\n",
              "          dataTable['output_type'] = 'display_data';\n",
              "          await google.colab.output.renderOutput(dataTable, element);\n",
              "          const docLink = document.createElement('div');\n",
              "          docLink.innerHTML = docLinkHtml;\n",
              "          element.appendChild(docLink);\n",
              "        }\n",
              "      </script>\n",
              "    </div>\n",
              "  </div>\n",
              "  "
            ]
          },
          "metadata": {},
          "execution_count": 146
        }
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "### Umbral de varianzas \n",
        "Las variabl con más varianza --> Son las que más explican el comportamiento del modeo\n",
        "\n",
        "Varaibles con poca varianza -->  aportan poca información al modelo  \n",
        "\n"
      ],
      "metadata": {
        "id": "-990FI8RsbCK"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "from sklearn.preprocessing import MinMaxScaler\n",
        "scaler = MinMaxScaler()\n",
        "scaled = scaler.fit_transform(dfx)\n",
        "x_scaled = pd.DataFrame(scaled, columns = dfx.columns)\n",
        "x_scaled #todo este dataframe dado solo tengo valores de 0 o 1 su escalamiento me dará otra matriz de 0 y 1 "
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 488
        },
        "id": "ZREudxNPwiDg",
        "outputId": "504fec4d-9eff-4c1e-d66c-ffe8acacb073"
      },
      "execution_count": 147,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
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              "      <button class=\"colab-df-convert\" onclick=\"convertToInteractive('df-7b30a244-f081-4920-bff3-b9b8fe9f208c')\"\n",
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              "  </svg>\n",
              "      </button>\n",
              "      \n",
              "  <style>\n",
              "    .colab-df-container {\n",
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              "      gap: 12px;\n",
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              "\n",
              "    .colab-df-convert {\n",
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              "\n",
              "    .colab-df-convert:hover {\n",
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              "\n",
              "    [theme=dark] .colab-df-convert {\n",
              "      background-color: #3B4455;\n",
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              "    }\n",
              "\n",
              "    [theme=dark] .colab-df-convert:hover {\n",
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              "\n",
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              "        buttonEl.style.display =\n",
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              "\n",
              "        async function convertToInteractive(key) {\n",
              "          const element = document.querySelector('#df-7b30a244-f081-4920-bff3-b9b8fe9f208c');\n",
              "          const dataTable =\n",
              "            await google.colab.kernel.invokeFunction('convertToInteractive',\n",
              "                                                     [key], {});\n",
              "          if (!dataTable) return;\n",
              "\n",
              "          const docLinkHtml = 'Like what you see? Visit the ' +\n",
              "            '<a target=\"_blank\" href=https://colab.research.google.com/notebooks/data_table.ipynb>data table notebook</a>'\n",
              "            + ' to learn more about interactive tables.';\n",
              "          element.innerHTML = '';\n",
              "          dataTable['output_type'] = 'display_data';\n",
              "          await google.colab.output.renderOutput(dataTable, element);\n",
              "          const docLink = document.createElement('div');\n",
              "          docLink.innerHTML = docLinkHtml;\n",
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              "        }\n",
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              "    </div>\n",
              "  </div>\n",
              "  "
            ]
          },
          "metadata": {},
          "execution_count": 147
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "from sklearn.feature_selection import VarianceThreshold\n",
        "selector = VarianceThreshold()\n",
        "selector.fit_transform(x_scaled)\n",
        "selector.variances_"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "V5xk6ZOrxI_e",
        "outputId": "4bcf4bbd-379c-4ab9-99df-9980d8ff2f13"
      },
      "execution_count": 148,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "array([0.02324263, 0.04535147, 0.02324263, 0.02324263, 0.02324263,\n",
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              "       0.02324263, 0.02324263, 0.06632653, 0.04535147, 0.02324263,\n",
              "       0.02324263, 0.02324263, 0.02324263, 0.04535147, 0.02324263,\n",
              "       0.12244898, 0.02324263, 0.02324263, 0.02324263, 0.02324263,\n",
              "       0.02324263, 0.06632653, 0.06632653, 0.12244898, 0.06632653,\n",
              "       0.02324263, 0.        , 0.02324263, 0.13888889, 0.02324263,\n",
              "       0.06632653, 0.10487528, 0.16836735, 0.04535147, 0.04535147,\n",
              "       0.02324263, 0.1814059 , 0.1814059 , 0.10487528, 0.15419501,\n",
              "       0.1814059 , 0.04535147, 0.02324263, 0.12244898, 0.0861678 ,\n",
              "       0.02324263, 0.20408163, 0.10487528, 0.02324263, 0.02324263,\n",
              "       0.0861678 , 0.04535147, 0.0861678 , 0.04535147, 0.02324263,\n",
              "       0.02324263, 0.02324263, 0.24092971, 0.02324263, 0.04535147,\n",
              "       0.02324263, 0.02324263, 0.04535147, 0.04535147, 0.12244898,\n",
              "       0.13888889, 0.02324263, 0.04535147, 0.02324263, 0.15419501,\n",
              "       0.13888889])"
            ]
          },
          "metadata": {},
          "execution_count": 148
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "Rdf_results['variance'] = selector.variances_ #añadir columna a mis df ya existente que tenia los resultados de R regresion\n",
        "Rdf_results.sort_values('variance', ascending = False, inplace = True)\n",
        "Rdf_results"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 424
        },
        "id": "exVTztTCxkjG",
        "outputId": "1c5caba3-f470-4c8d-b20c-c1c9868c67be"
      },
      "execution_count": 149,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "                     r_value  variance\n",
              "restlessness       -0.184391  0.240930\n",
              "brittle_nails      -0.128784  0.204082\n",
              "inflammatory_nails -0.128784  0.181406\n",
              "irritation_in_anus -0.128784  0.181406\n",
              "bloody_stool       -0.128784  0.181406\n",
              "...                      ...       ...\n",
              "redness_of_eyes    -0.128784  0.023243\n",
              "itching            -0.108465  0.023243\n",
              "stomach_pain        0.043386  0.023243\n",
              "indigestion         0.043386  0.023243\n",
              "mucoid_sputum      -0.128784  0.000000\n",
              "\n",
              "[131 rows x 2 columns]"
            ],
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              "      <th></th>\n",
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              "      <th>variance</th>\n",
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              "    <tr>\n",
              "      <th>restlessness</th>\n",
              "      <td>-0.184391</td>\n",
              "      <td>0.240930</td>\n",
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              "      <th>brittle_nails</th>\n",
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              "    <tr>\n",
              "      <th>inflammatory_nails</th>\n",
              "      <td>-0.128784</td>\n",
              "      <td>0.181406</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>irritation_in_anus</th>\n",
              "      <td>-0.128784</td>\n",
              "      <td>0.181406</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>bloody_stool</th>\n",
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              "      <td>0.181406</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>...</th>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>redness_of_eyes</th>\n",
              "      <td>-0.128784</td>\n",
              "      <td>0.023243</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>itching</th>\n",
              "      <td>-0.108465</td>\n",
              "      <td>0.023243</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>stomach_pain</th>\n",
              "      <td>0.043386</td>\n",
              "      <td>0.023243</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>indigestion</th>\n",
              "      <td>0.043386</td>\n",
              "      <td>0.023243</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>mucoid_sputum</th>\n",
              "      <td>-0.128784</td>\n",
              "      <td>0.000000</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "<p>131 rows × 2 columns</p>\n",
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              "          const element = document.querySelector('#df-91206e7a-6564-4ca7-a526-0dadb18b10a4');\n",
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              "            await google.colab.kernel.invokeFunction('convertToInteractive',\n",
              "                                                     [key], {});\n",
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              "\n",
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            ]
          },
          "metadata": {},
          "execution_count": 149
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "plt.figure(figsize = (30, 30))\n",
        "plt.xticks(rotation=90)\n",
        "plt.bar(Rdf_results.index, Rdf_results['variance'])\n",
        "plt.show()"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 1000
        },
        "id": "0PWFtshPx_aj",
        "outputId": "b0ebefa4-13da-408b-f975-005bb7fb68c7"
      },
      "execution_count": 150,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 2160x2160 with 1 Axes>"
            ],
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\n"
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    {
      "cell_type": "markdown",
      "source": [
        "# Feature Selection para area médica ⚕\n",
        "\n",
        "El mejor método de selección de características para modelos estadísticos médicos depende de los requisitos específicos de cada caso individual. Sin embargo para el estudio referenciado menciona que los más comunes son Wrappers, Filtros y embebidos. El diagrama de abajo muestra la metodología que se utilizó en ese trabajo, el cual puede servirme de referencia para ver cuáles son los comúnes en el area médica ya que en ese se trabajó con dos sets de datos de índole médica. \n",
        "\n",
        "La elección del mejor método de selección de características dependerá de la naturaleza de los datos, el número de características y la complejidad de las relaciones entre las características y la variable objetivo. También puede ser útil probar varios métodos y comparar su rendimiento para determinar el mejor para un caso dado. En este caso utilizaron los tres mejores modelos para cada uno de los tres tipo de feature selection para después combinarlos y evaluarlos con una técnica que este momento desconozco cómo funciona, llamda support vector classifier. \n",
        "\n",
        "En este paper utilizan como umbral solo los modelos que regresan un performance mayor a 80% con solo tres variables de predicción. De nueva cuenta no es una regla que vaya a funcionar siempre dado hay muchos factores que pueden afectar (calidad de datos, dependencia de variables, etc). A reserva de encontrar una mejor referencia para decidir cuantas variables es recomendado incluir, para esta tarea utilizaré 3 variables de prdicción. \n",
        "\n",
        "[A Novel Feature Selection Method for Classification of Medical Data Using Filters, Wrappers, and Embedded Approaches](https://www.hindawi.com/journals/complexity/2022/8190814/)\n",
        "\n",
        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)\n",
        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)"
      ],
      "metadata": {
        "id": "xgy9e7z5TVOS"
      }
    },
    {
      "cell_type": "markdown",
      "source": [
        "## Metodos de envoltura\n",
        "### EFS (Exhausive Feature Selection) "
      ],
      "metadata": {
        "id": "uIOjmCTf4TqZ"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "#codigo encontrado en stack overflow que me ayudo a quitar un error que tenia al importar EFS \n",
        "# https://stackoverflow.com/questions/70163883/google-colab-modulenotfounderror-no-module-named-sklearn-externals-joblib\n",
        "\n",
        "!pip install mlxtend \n",
        "import joblib\n",
        "import sys\n",
        "sys.modules['sklearn.externals.joblib'] = joblib"
      ],
      "metadata": {
        "id": "GxUovJIr6gFW"
      },
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "from mlxtend.feature_selection import ExhaustiveFeatureSelector as EFS"
      ],
      "metadata": {
        "id": "0zXCijbY7J25"
      },
      "execution_count": 152,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "lr = LinearRegression()\n",
        "\n",
        "efs = EFS(estimator = lr,        # Use logistic regression as the classifier/estimator\n",
        "          min_features = 1,      # The minimum number of features to consider is 1\n",
        "          max_features = 3,      # The maximum number of features to consider is 4\n",
        "          scoring='neg_mean_absolute_error',  # The metric to use to evaluate the classifier is accuracy \n",
        "          cv=5)"
      ],
      "metadata": {
        "id": "-JT5NWrU7cL0"
      },
      "execution_count": 161,
      "outputs": []
    },
    {
      "cell_type": "markdown",
      "source": [
        "Los features que tenian mejor desempeño para la prueba de feature selection de Anova con el estadistico F y la regresión R fueron: \n",
        "*   Nausea\n",
        "*   Abdominal Pain\n",
        "*   Yellowish skin\n",
        "\n",
        "A pesar de no ser un experto en el área médica, por experiencias de vida, me hace sentido que las variables que están más relacionadas con vómito sean las mencionadas anteriromente dado que cuando sentimos dolor estomacal o nausea, es probable que esos síntomas se presenten antes y después de vomitar. \n",
        "\n",
        "\n",
        "\n",
        "\n",
        "\n"
      ],
      "metadata": {
        "id": "cUxBGHb6Z3lL"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "dfx_reduced = dfx[[\"nausea\",\"abdominal_pain\",\"yellowish_skin\"]] #arbitriariamente cambiarlo a 5 para ver si corre\n",
        "dfx_reduced"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 424
        },
        "id": "6B8lGraX7ji5",
        "outputId": "88ad4a35-27de-4aec-d5b0-ba6b44ef2973"
      },
      "execution_count": 162,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "    nausea  abdominal_pain  yellowish_skin\n",
              "0        0               0               0\n",
              "1        0               0               0\n",
              "2        0               0               0\n",
              "3        1               1               1\n",
              "4        0               0               0\n",
              "..     ...             ...             ...\n",
              "37       0               0               0\n",
              "38       0               0               0\n",
              "39       0               0               0\n",
              "40       0               0               0\n",
              "41       0               0               0\n",
              "\n",
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              "      <th>nausea</th>\n",
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              "      <th>37</th>\n",
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              "      <th>38</th>\n",
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              "            await google.colab.kernel.invokeFunction('convertToInteractive',\n",
              "                                                     [key], {});\n",
              "          if (!dataTable) return;\n",
              "\n",
              "          const docLinkHtml = 'Like what you see? Visit the ' +\n",
              "            '<a target=\"_blank\" href=https://colab.research.google.com/notebooks/data_table.ipynb>data table notebook</a>'\n",
              "            + ' to learn more about interactive tables.';\n",
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              "  "
            ]
          },
          "metadata": {},
          "execution_count": 162
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "efs = efs.fit(dfx_reduced, dfy)"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "HWwcbvrHkNZp",
        "outputId": "03adef78-7d4a-4a74-bc70-04595598d89f"
      },
      "execution_count": 163,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "Features: 7/7"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "print('Best accuracy score: %.2f' % efs.best_score_)\n",
        "print('Best subset (indices):', efs.best_idx_)\n",
        "print('Best subset (corresponding names):', efs.best_feature_names_)"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "BmtJ3JX-C1pK",
        "outputId": "e853c254-b900-4136-bc41-8d9cdafdcd1a"
      },
      "execution_count": 164,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "Best accuracy score: -0.34\n",
            "Best subset (indices): (0,)\n",
            "Best subset (corresponding names): ('nausea',)\n"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "#En dado caso que nausea no sea un sintoma, o que no conozcamos su existencia los siguiente modelos me pueden ayudar a predecir vomito.\n",
        "metric_dict = efs.get_metric_dict()\n",
        "df_efs = pd.DataFrame(metric_dict).T\n",
        "df_efs.sort_values('avg_score', ascending=False,  inplace = True)\n",
        "df_efs_best_10 = df_efs.iloc[:10]\n",
        "df_efs_best_10"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 269
        },
        "id": "UrDM4GH_DEMH",
        "outputId": "71d0f7cf-bd05-4fed-926d-e7985b5c128f"
      },
      "execution_count": 165,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "  feature_idx                                          cv_scores avg_score  \\\n",
              "0        (0,)  [-0.3919753086419753, -0.32999999999999996, -0... -0.335778   \n",
              "6   (0, 1, 2)  [-0.3051709856821678, -0.3211823216909686, -0.... -0.342186   \n",
              "1        (1,)  [-0.34371184371184366, -0.4005555555555555, -0... -0.349853   \n",
              "5      (1, 2)  [-0.3400469956361195, -0.40785907859078585, -0... -0.352673   \n",
              "3      (0, 1)  [-0.33832112915207474, -0.32484311554079, -0.5... -0.361314   \n",
              "4      (0, 2)  [-0.37684389260320494, -0.3300433677284283, -0... -0.370297   \n",
              "2        (2,)  [-0.4334554334554334, -0.4334554334554334, -0.... -0.426627   \n",
              "\n",
              "                              feature_names  ci_bound   std_dev   std_err  \n",
              "0                                 (nausea,)  0.043029  0.033478  0.016739  \n",
              "6  (nausea, abdominal_pain, yellowish_skin)   0.12297  0.095675  0.047837  \n",
              "1                         (abdominal_pain,)  0.069025  0.053703  0.026852  \n",
              "5          (abdominal_pain, yellowish_skin)  0.072268  0.056227  0.028113  \n",
              "3                  (nausea, abdominal_pain)    0.1427  0.111026  0.055513  \n",
              "4                  (nausea, yellowish_skin)  0.116303  0.090487  0.045244  \n",
              "2                         (yellowish_skin,)  0.009764  0.007597  0.003798  "
            ],
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              "      <td>[-0.3919753086419753, -0.32999999999999996, -0...</td>\n",
              "      <td>-0.335778</td>\n",
              "      <td>(nausea,)</td>\n",
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              "      <td>0.016739</td>\n",
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              "      <th>6</th>\n",
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              "      <td>-0.342186</td>\n",
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              "      <td>0.047837</td>\n",
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              "      <td>-0.349853</td>\n",
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              "      <th>5</th>\n",
              "      <td>(1, 2)</td>\n",
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              "      <td>-0.352673</td>\n",
              "      <td>(abdominal_pain, yellowish_skin)</td>\n",
              "      <td>0.072268</td>\n",
              "      <td>0.056227</td>\n",
              "      <td>0.028113</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>3</th>\n",
              "      <td>(0, 1)</td>\n",
              "      <td>[-0.33832112915207474, -0.32484311554079, -0.5...</td>\n",
              "      <td>-0.361314</td>\n",
              "      <td>(nausea, abdominal_pain)</td>\n",
              "      <td>0.1427</td>\n",
              "      <td>0.111026</td>\n",
              "      <td>0.055513</td>\n",
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              "    <tr>\n",
              "      <th>4</th>\n",
              "      <td>(0, 2)</td>\n",
              "      <td>[-0.37684389260320494, -0.3300433677284283, -0...</td>\n",
              "      <td>-0.370297</td>\n",
              "      <td>(nausea, yellowish_skin)</td>\n",
              "      <td>0.116303</td>\n",
              "      <td>0.090487</td>\n",
              "      <td>0.045244</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2</th>\n",
              "      <td>(2,)</td>\n",
              "      <td>[-0.4334554334554334, -0.4334554334554334, -0....</td>\n",
              "      <td>-0.426627</td>\n",
              "      <td>(yellowish_skin,)</td>\n",
              "      <td>0.009764</td>\n",
              "      <td>0.007597</td>\n",
              "      <td>0.003798</td>\n",
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              "        buttonEl.style.display =\n",
              "          google.colab.kernel.accessAllowed ? 'block' : 'none';\n",
              "\n",
              "        async function convertToInteractive(key) {\n",
              "          const element = document.querySelector('#df-122d84c1-4ccf-4ace-9539-f9947d048453');\n",
              "          const dataTable =\n",
              "            await google.colab.kernel.invokeFunction('convertToInteractive',\n",
              "                                                     [key], {});\n",
              "          if (!dataTable) return;\n",
              "\n",
              "          const docLinkHtml = 'Like what you see? Visit the ' +\n",
              "            '<a target=\"_blank\" href=https://colab.research.google.com/notebooks/data_table.ipynb>data table notebook</a>'\n",
              "            + ' to learn more about interactive tables.';\n",
              "          element.innerHTML = '';\n",
              "          dataTable['output_type'] = 'display_data';\n",
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              "  </div>\n",
              "  "
            ]
          },
          "metadata": {},
          "execution_count": 165
        }
      ]
    }
  ]
}