Multivariate_Time_Series_Forecasting_with_LSTMs_in_Keras.ipynb

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      "name": "Multivariate Time Series Forecasting with LSTMs in Keras",
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        "<a href=\"https://colab.research.google.com/github/Fathitos34/MULTIVARIATE-TIME-SERIES-FORECASTING-WITH-LSTM-IN-KERAS/blob/main/Multivariate_Time_Series_Forecasting_with_LSTMs_in_Keras.ipynb\" target=\"_parent\"><img src=\"https://colab.research.google.com/assets/colab-badge.svg\" alt=\"Open In Colab\"/></a>"
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      "metadata": {
        "id": "zLxa6MZPpTAX"
      },
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      "source": [
        "from google.colab import drive"
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "drive.mount('/content/drive')"
      ],
      "metadata": {
        "colab": {
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      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "Mounted at /content/drive\n"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "import pandas as pd"
      ],
      "metadata": {
        "id": "zgZWp0BFpnkA"
      },
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "data = pd.read_csv('/content/drive/MyDrive/PRSA_data_2010.1.1-2014.12.31.csv')"
      ],
      "metadata": {
        "id": "E09O9e7qsELa"
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      "outputs": []
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              "          No  year  month  day  hour  pm2.5  ...  TEMP    PRES  cbwd     Iws  Is  Ir\n",
              "0          1  2010      1    1     0    NaN  ... -11.0  1021.0    NW    1.79   0   0\n",
              "1          2  2010      1    1     1    NaN  ... -12.0  1020.0    NW    4.92   0   0\n",
              "2          3  2010      1    1     2    NaN  ... -11.0  1019.0    NW    6.71   0   0\n",
              "3          4  2010      1    1     3    NaN  ... -14.0  1019.0    NW    9.84   0   0\n",
              "4          5  2010      1    1     4    NaN  ... -12.0  1018.0    NW   12.97   0   0\n",
              "...      ...   ...    ...  ...   ...    ...  ...   ...     ...   ...     ...  ..  ..\n",
              "43819  43820  2014     12   31    19    8.0  ...  -2.0  1034.0    NW  231.97   0   0\n",
              "43820  43821  2014     12   31    20   10.0  ...  -3.0  1034.0    NW  237.78   0   0\n",
              "43821  43822  2014     12   31    21   10.0  ...  -3.0  1034.0    NW  242.70   0   0\n",
              "43822  43823  2014     12   31    22    8.0  ...  -4.0  1034.0    NW  246.72   0   0\n",
              "43823  43824  2014     12   31    23   12.0  ...  -3.0  1034.0    NW  249.85   0   0\n",
              "\n",
              "[43824 rows x 13 columns]"
            ]
          },
          "metadata": {},
          "execution_count": 6
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "import pandas as pd\n",
        "pollution = pd.read_csv('/content/drive/MyDrive/PRSA_data_2010.1.1-2014.12.31.csv')"
      ],
      "metadata": {
        "id": "Tk_RACsLt_CG"
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      "execution_count": null,
      "outputs": []
    },
    {
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        "pollution.head()"
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              "        async function convertToInteractive(key) {\n",
              "          const element = document.querySelector('#df-be7a3e1d-3aa5-4145-9b6a-3612124f6459');\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",
              "          element.innerHTML = '';\n",
              "          dataTable['output_type'] = 'display_data';\n",
              "          await google.colab.output.renderOutput(dataTable, element);\n",
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              "        }\n",
              "      </script>\n",
              "    </div>\n",
              "  </div>\n",
              "  "
            ],
            "text/plain": [
              "   No  year  month  day  hour  pm2.5  DEWP  TEMP    PRES cbwd    Iws  Is  Ir\n",
              "0   1  2010      1    1     0    NaN   -21 -11.0  1021.0   NW   1.79   0   0\n",
              "1   2  2010      1    1     1    NaN   -21 -12.0  1020.0   NW   4.92   0   0\n",
              "2   3  2010      1    1     2    NaN   -21 -11.0  1019.0   NW   6.71   0   0\n",
              "3   4  2010      1    1     3    NaN   -21 -14.0  1019.0   NW   9.84   0   0\n",
              "4   5  2010      1    1     4    NaN   -20 -12.0  1018.0   NW  12.97   0   0"
            ]
          },
          "metadata": {},
          "execution_count": 10
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "pollution.drop(['No'],axis=1,inplace=True )"
      ],
      "metadata": {
        "id": "JHJ0JUiLvAuj"
      },
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "import numpy as np\n",
        "\n",
        "pollution.dropna(subset=['pm2.5'], axis=0 , inplace=True)\n",
        "\n",
        "pollution.head()"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 206
        },
        "id": "HMTDQ_RfwK7B",
        "outputId": "68788974-3d02-4cd6-943c-69a73efed3f6"
      },
      "execution_count": null,
      "outputs": [
        {
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          "data": {
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              "      <th>month</th>\n",
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              "      <th>Ir</th>\n",
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              "      <th>24</th>\n",
              "      <td>2010</td>\n",
              "      <td>1</td>\n",
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              "    <tr>\n",
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              "\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",
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            "text/plain": [
              "    year  month  day  hour  pm2.5  DEWP  TEMP    PRES cbwd   Iws  Is  Ir\n",
              "24  2010      1    2     0  129.0   -16  -4.0  1020.0   SE  1.79   0   0\n",
              "25  2010      1    2     1  148.0   -15  -4.0  1020.0   SE  2.68   0   0\n",
              "26  2010      1    2     2  159.0   -11  -5.0  1021.0   SE  3.57   0   0\n",
              "27  2010      1    2     3  181.0    -7  -5.0  1022.0   SE  5.36   1   0\n",
              "28  2010      1    2     4  138.0    -7  -5.0  1022.0   SE  6.25   2   0"
            ]
          },
          "metadata": {},
          "execution_count": 13
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "pollution['Timestamp']= pd.to_datetime(pollution[['year','month','day','hour']])\n",
        "pollution.drop(['year','month','day','hour'],axis=1,inplace=True)\n",
        "pollution.head()\n"
      ],
      "metadata": {
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          "height": 206
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        "id": "uLOth8_Mx2Jw",
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              "      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",
              "      fill: #FFFFFF;\n",
              "    }\n",
              "  </style>\n",
              "\n",
              "      <script>\n",
              "        const buttonEl =\n",
              "          document.querySelector('#df-cfe466f3-8866-422c-8d04-b19ba70d9569 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-cfe466f3-8866-422c-8d04-b19ba70d9569');\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",
              "  "
            ],
            "text/plain": [
              "    pm2.5  DEWP  TEMP    PRES cbwd   Iws  Is  Ir           Timestamp\n",
              "24  129.0   -16  -4.0  1020.0   SE  1.79   0   0 2010-01-02 00:00:00\n",
              "25  148.0   -15  -4.0  1020.0   SE  2.68   0   0 2010-01-02 01:00:00\n",
              "26  159.0   -11  -5.0  1021.0   SE  3.57   0   0 2010-01-02 02:00:00\n",
              "27  181.0    -7  -5.0  1022.0   SE  5.36   1   0 2010-01-02 03:00:00\n",
              "28  138.0    -7  -5.0  1022.0   SE  6.25   2   0 2010-01-02 04:00:00"
            ]
          },
          "metadata": {},
          "execution_count": 15
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "pollution_INDEXED=pollution.set_index('Timestamp')\n",
        "pollution_INDEXED.head()"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 238
        },
        "id": "dKn1AaDjzph4",
        "outputId": "1d663954-f1a9-4c19-86fa-61c23ff6819c"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/html": [
              "\n",
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              "      <div>\n",
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              "  <thead>\n",
              "    <tr style=\"text-align: right;\">\n",
              "      <th></th>\n",
              "      <th>pm2.5</th>\n",
              "      <th>DEWP</th>\n",
              "      <th>TEMP</th>\n",
              "      <th>PRES</th>\n",
              "      <th>cbwd</th>\n",
              "      <th>Iws</th>\n",
              "      <th>Is</th>\n",
              "      <th>Ir</th>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>Timestamp</th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
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              "      <th>2010-01-02 00:00:00</th>\n",
              "      <td>129.0</td>\n",
              "      <td>-16</td>\n",
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              "      <td>1020.0</td>\n",
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              "    <tr>\n",
              "      <th>2010-01-02 01:00:00</th>\n",
              "      <td>148.0</td>\n",
              "      <td>-15</td>\n",
              "      <td>-4.0</td>\n",
              "      <td>1020.0</td>\n",
              "      <td>SE</td>\n",
              "      <td>2.68</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2010-01-02 02:00:00</th>\n",
              "      <td>159.0</td>\n",
              "      <td>-11</td>\n",
              "      <td>-5.0</td>\n",
              "      <td>1021.0</td>\n",
              "      <td>SE</td>\n",
              "      <td>3.57</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2010-01-02 03:00:00</th>\n",
              "      <td>181.0</td>\n",
              "      <td>-7</td>\n",
              "      <td>-5.0</td>\n",
              "      <td>1022.0</td>\n",
              "      <td>SE</td>\n",
              "      <td>5.36</td>\n",
              "      <td>1</td>\n",
              "      <td>0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2010-01-02 04:00:00</th>\n",
              "      <td>138.0</td>\n",
              "      <td>-7</td>\n",
              "      <td>-5.0</td>\n",
              "      <td>1022.0</td>\n",
              "      <td>SE</td>\n",
              "      <td>6.25</td>\n",
              "      <td>2</td>\n",
              "      <td>0</td>\n",
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              "  </tbody>\n",
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              "  </svg>\n",
              "      </button>\n",
              "      \n",
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              "    .colab-df-container {\n",
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              "\n",
              "    .colab-df-convert {\n",
              "      background-color: #E8F0FE;\n",
              "      border: none;\n",
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              "\n",
              "    .colab-df-convert:hover {\n",
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              "      fill: #174EA6;\n",
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              "\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",
              "      fill: #FFFFFF;\n",
              "    }\n",
              "  </style>\n",
              "\n",
              "      <script>\n",
              "        const buttonEl =\n",
              "          document.querySelector('#df-a15f451e-e25a-429f-b47f-f49393d43809 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-a15f451e-e25a-429f-b47f-f49393d43809');\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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              "          element.appendChild(docLink);\n",
              "        }\n",
              "      </script>\n",
              "    </div>\n",
              "  </div>\n",
              "  "
            ],
            "text/plain": [
              "                     pm2.5  DEWP  TEMP    PRES cbwd   Iws  Is  Ir\n",
              "Timestamp                                                        \n",
              "2010-01-02 00:00:00  129.0   -16  -4.0  1020.0   SE  1.79   0   0\n",
              "2010-01-02 01:00:00  148.0   -15  -4.0  1020.0   SE  2.68   0   0\n",
              "2010-01-02 02:00:00  159.0   -11  -5.0  1021.0   SE  3.57   0   0\n",
              "2010-01-02 03:00:00  181.0    -7  -5.0  1022.0   SE  5.36   1   0\n",
              "2010-01-02 04:00:00  138.0    -7  -5.0  1022.0   SE  6.25   2   0"
            ]
          },
          "metadata": {},
          "execution_count": 16
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "import matplotlib.pyplot as plt\n",
        "\n",
        "no_cols= len(pollution_INDEXED.columns)\n",
        "\n",
        "index=1\n",
        "\n",
        "plt.figure(figsize=(10,20))\n",
        "for column in pollution_INDEXED.columns:\n",
        "  plt.subplot(no_cols,1,index)\n",
        "  plt.plot(pollution_INDEXED[column])\n",
        "  plt.title(column,loc='right' , y=0.5)\n",
        "  index+=1\n",
        "\n",
        "plt.show()  \n"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 1000
        },
        "id": "IruriSzv0qFI",
        "outputId": "5bef2190-ecb1-4c65-a67d-b303042bee60"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "image/png": 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1CXpWz2+5am40xs6J9tn5pQL/dQt2YvKifY5/I/qcXqzO24c0XP7NlxItvVSAshmvLQ+AePDyZuvWNhkRFe+3829V7D9jjmvmzjJjk6FFk6Mk8M76IwElNU1oNDjX+gQavxzNxsrDZ63fhWsMltiKLkea55xnALhMZnspgJtltnMAL7h6Pm8TJO3rFh9tNUfTXfTgGNn9xdXyWhyh02ZgNr326YJq/HE8F5f064Lh53XRt7KEFZficIl+syOlEBf27uT0J03ktq6K6V/sw7RR5+Nfky5U/ZsFm09hQPf2+Mc1g1w+78Jt8naogkBuazRv+cCDZ3DzNtuTzVqYo5llGHl+V5eOMeytlojmSq0gCCHNJhPaI9Sl8/grb6w1T8qF516vZ3FTQj6ajSbcdbmdn55XoUjzElwxOJbSOhYUtcMBvPLLSXtti+idos7efYTnr6qhGdUuxDiTNkFueR0iIqMQd7bcZvveVPIiVkNiXhU+2HJKdfnSmkZ8uycdb61P9Eh9hHdM3M6CDRdHi+aLXkX/ZtepIueFWhGOchg/v+oYXlpzwou1kYdyKUr4bm+6r6sQ8Ig7aq3r65y7ZvxY39Q6PRPlEDRco99zLf2StMUOpJUAMKv7rxzU3bp9+HmdrfZyNDjrx7h5O7xynh2iAVt45zjnAWUT4yu80d84e6eCzYZS7p6qCVESSH0PabgkOJKSNRykVdPykmh/GVx9d177/aT88TjHexuTkNqKPBfdjXuqts187ZwQrLgykB7LLndeyILc4NUicIk0XCR4KaLkoe1NgkzegsFka5MWnVyIZsvyqZouLRB81UjgkhCfW+HrKgQ84kjVavoEPTr2pDx5Q9VzlQ348WAWHl8a4/Y5gpXEvEqcFnkxStvD0zPIr3enYcWhLM+eJMi59+uDbv2+zqJdWLI/s8VwO8gGdIHSmkZZr93aRgOeWBaDHI0BZD2H4wYIZi/FfWeK8fRPsdhmccySE6Z2pBQiIjIKRQq2xP4ICVwSDqaX+roKQQNjTLNNlqs2XEqG4iGimXurQeNMb/oX+9HQLPaO0rk+Tvhwy2m8vUF90mzCNYRmLZEZoPSwXQ0Ubl+0T9Zrd3tyIXafLlZM4B6fW4GCygZPV081weYlLL6a0hrbEEJyK09LD2QCaHHeCoS4ZiRweQBn411xdSPGztmO00G6JGNrw6Xxt66eVOGmC4KY0c86p2GzNuPjbafdPk5BZQPWxGTrUCNlVOXD9GgNCD2ZtHC3nYZHromDtU2VYuQJmt0dp4pk3807vzyAiR/tUjxueZ2+QquzLitY2wdQ1+ccSLNVjjy7Ig4AMH7BTsxcF++JarkNCVw+YEdKIUpqmrB0f6avq+JxbIQvhR7kaJZ6+xOB8tomRK6Nd2pLESLjAu8PNBlN+GJnmtvHeXxpDCLXJaCsVlvC7nu+PoCbFu7G8Lc3Oy3ryq1rNBhxydtbXMrRSDhm4dbTuOML1yKcC2SV1Np8D/VSwvNAQendbHIQ+8pZaiUAyK/UTwsTdBouB5ejxT4rr6Ieq2NynBf0ASRwucH3ezOQku84gndiXqVdqhlBCAi2F0aKK0aMam/Jwm2nseZoDtYeyzWfS6GcMI4Em0ePQGmtebYuvj41jh/HsyuQUVJrs5QooIdwWljZiPpmo6ZwCK0Fg9GEJfsy0GhwzfD6y11pSFCwWXSETRgIycsptyQf5N2THVqu19VbE51ciMIqdcuSzs4RdF2aI4FLp1P42pudBC4X4Zxj7qYU3Pml45nm9C/249ZP99psE/o2X70wn25PxTe7PRf+wq2wECrLS++dkttwi3CrqRoBjbveOtKBp86FTkrwOGojzTMkIr+yHn/7xj1j70Dkl9gczIlKwbe7tScM14u6JoPNdzmP02D3UlTKlOFJ3t6Q5HL+RSn+prV3F0cKCL08EH3tXUoCl4sIGoVmmWjbznIp+nqZ67MdZzyqebBGmpe4Kep5tdL0M87ex2D16CmpsV9KdLdvkt4qIWemFm8g4f0QL1WV1zZh/5kS6/fv92baBVNtDdQ2moWdmkbtNj+/xrq+VCLuluT6rdZGbrmtN6KW7tidd0xtnlVn9Qm2Pk0scNkbwAfHkjcJXA74ZNtpRcN2g8yAohZh0u/rJcWqhmZN8XvUYs2lCGYjZKm5XLW3JCazzHoOQFkLIxzO1/dajJaOsry2Cfd/e8ipd5RUGyHn2v57XK7q88rhSNMlnTwIA3ob0fvx5I9H8Y8fjljV+mGh3utEE/MqcTLH9yFffo3NwbxNrk12Ciob8PrvrhsDi5tITfonb70yjuyiPEmgD+FBJm/ZXM+QXh1t9gVCjC01kMDlgM93puG+b+WXPJqN5k7CJYHLT5a5nl4ei3u/PuiyLYkSgnAjDXzqySUKZy7BUi/F1MJqpBX5xkt07xn1KXF+i8tBTFYZftgvv/zUpZ05WYR46Y4xJht3bJnFjVqsZZJDj3aS03AJtoxCW7TxosA1/Yv9uOurA147nxJigSmnzLkB9dvrE/HPH48CAGoly4DukKAi3qC3uifBDtHbSFciXL3eIxml+FC0YvD7MfcmNi31cRKHy48mkXogvl5PjY2+FtxI4HKCkrG1wTKDD5MRuJw1KvOTUAVCkFeTzhNMG62W6Jv4ch9afFizZ51LdZHJGwcAt326F7d8slfmF57nTGGN80IWhMdPSSNRbVmekmqYqmRyKAqHWKIgvFmP2WDAd3vS7TRx0hrcPrKv4jFabLhaflUr0ZDpktVBR+JzK7waj2pLUoHTMisOn8VOSwqezOJaJ6XV02TUX6u0N7UYh1yIY+hvz4FWHlh8GF+LbGIT8xw7Uqnl5TUn7CZHzUbfxcvzNOuP51k/N0uez2BZPiWBywlKD3WzyV7DNeOnWDzzU6zudfj7twfxhsalhNTCauwRJRfmnNsJj3IeanogjjRvu73l86GMUqyWiR+ldyfij69ps0jCfXnNcYdlTS3rs3Ycyy633i/xdUaujZe17VKzjAQAP+zPxPzNp7BHoomT/txRW8lpuKRomW3WNxlRWdeMHw9kYltSAYwmjll/JCCzRB8hhHOOO788gCeW+W9GgpisMpd/W9dkUJz8KKHVxvSxpTF46PvDWqvmM62DVLPvb0bopwqq8Y8fjthsE/fhwabhislsMW+RTnyc2UXLodYb1JuQwOUEJbWuoOFqE9pyC7clF2J7cqHT+ZqSQKLE0axy/KLRWPa2T/faLCvd/90hXPjmJlm32Jxye3sfd9xnhX4gq7TO4fKV3DukdTlL7Xvo666pttFg7QAMIoPl9Sccx+7hDjRcyw9m2ZUDgAwFIYTJlHWE1LbmcEaZTUcolt+lhxS0WceyzVrUSjeDQl7yzhZcNnsb3vszGTNWxCH5XBVWHcnGiz8fQ32T0WF8I6lHnhzCtZxQaef1/d4MVTZheg7i7tg6fb3Lc17J7uIteUvpOdmeXIgNJ/LsnuGXnEyG1OKu1vSrXWn4+Yh5cip+nLyl9HlvY5JXPDrF70pake0qgGA6IXA4w7km9ep5O5B8Thrg17faVBK4nKDUX163YCcA2yUTtWSXmgUc6ex/bVwuXvz5mObjqUEILlot4xklJ1y5s+QgvmX/J9LMSQcfPR7+mesSkHROOSaRVQPk49ngnV/ux9XzdgAwx2FSi1g4l6rVi6pabF9UCaqCd6zqs9uz4USe6JvykSrqbDVsdc0tQo/WCYcznlgWg2vn71TcL3Y4UFqaEOqkVgs4d1OKU5uwyvpmnC3VLy+fVBg0mbhqjzepN+iao84ncF57Zbw0Bj6y5LDNcyJc3zM/xeKlNSfsym84cQ7zN6cgIjLKbp+WW/OYREullY+2nsabfyRYzut9DdePB7M8snIjRXw1Bsl7Kh0rP9mWquqYGSXqzTe8AQlcGpAbtF0xmv94u/lhCRV17ofSS/HqbyfxV3y+6xWU4WGJil9uQOnRMRyAed38+VVxiM+t0CQUAOb4JoK6W6kjUGOzJhQZPDMKn0WfUXXu32JtjVTl2kTp1HonqlVaIkwX2d80a5iaCvVefjALQ97chHKR3VuKTAJeR2i1UZcrLs7Dp3QZdU0GGy0eoJBNQPIsfrDllGpbjTss8e84B45kql9qU9L+CafVc+yf+tk+TFq4W7fjSQWuhdtOY+ycaGsuOUf48/KTt7QOgrZVQHpH5J697/a4HyvtZK72ILVK2Gi4JPX96VCWzyeW7iB+RntZxiQB6VVllepnz+hNXBa4GGMDGWO7GGPJjLEkxthLlu3vMcbyGGMnLH9TRb+ZyRhLY4ydZozdrscF6EFRVQPu+GK/wzXfiromfL7DPt1DaAhDfZPRGlsHUL/eHCISDFyxfVDDwfRS27qJ9vW0PNRhlmXRpHNV2JRQgDu/PIBXfj1pd6z6JiMi18rbkg1/ewte/sU8S1R65+2DldqXEYpwDnwarW4WY5BY/V/Uu5P1s7CcJJ0xCUz4cJc1zQnn3E4FrRXxEmHk2nj8KqNJ0BL1XigqLNEVVrc8oxXiZToVh2wTGoK0ohrsTVXnJSn3HFc1tDxLctex70wxRryzFfsk9l9lIk1MtoKQ+83udBzP8U1cLpvYcToh9ZzVO+jiVovRvVSbKMcVg7rrem7AnBP2ri/324Us0TpZ25Sg7yRTLdJ+6qyDyVe5RgefJoMJlfXNugtAmxNbHC2kR35nQ5KdUCmmsr4ZRzXaATpaPdAb8a3q0NZ2CXHdsVxUixyB1MYEnLk2wWb887V/hjsaLgOAVznnIwBcA+AFxtgIy75POeeXW/42AYBl34MARgKYDOBrxlioG+fXjVVHspGQV4mfDmXZ7ROegbfWJ8oKALnl9bhyznaMfHer5vN6K32ZuG5iDZdVuJEZrfdKDO4B4OElhx0uRfxpySWmNJuWzsT1uvxT+crhHZYdyHL6+wKLoL3maA6mfr7PxtlAzN7UYhtPGmesOZqD12UEVKn2xxHStlFawlZzxJoGgyrbBwHZhMaithUbHQubBS+1gyJvtZyyOpv6pTvwttM6PiXLpNYymrjNEpqaQ4pjx3mK6z/Y5XC/0cSxZJ96jYrVg1VFRzKoRwfVxxUQ7kmz0STr9fprbA5O5tr3m8+vOma1OVKD2HmmyIuGztJ3a3DPjgolzddk81snD+oTy2Jw2f+2IUnFBO7dDYlOywisPHzW+lmun13kYJL65LIY/P3bQ6htNKgWiuWcbzyF+Hqkk7lfY3MRuS5B8zGrGw2Y/Wey23XTC5cFLs55Puf8mOVzNYAUAP0d/OQuAGs4542c80wAaQDGuXp+PRGa9is5w1LLTkdBH6X71Bq36pEwlnOO3aeLVM+kZLVKTuyctiaZDSaPO5g9yR3PGfM3n8LXu221htI61DcZnQoJ0iU6cUeqRqsgnFLQbp0trUWTwWQXzf6xpTFWLd7x7HIkupDPDgCMGuJwSJVISjZGau55cU2jrjNu2TyMlv9it+4JH+7CjyIDf0/z7Z50/O2bgziiQbgUQi94IlyCgDN7q7XHcjEnKkX18YRBSY0dace2bVy2yRo6azNGv7fNbrtSirJtyYVWmyM1iDWpcoKdp5AuyZ3XtZ1i2dwKSVR6J8cWJhzTVSQZX37orNMyAuEiJ63Pdpyx698ctXG8ZWlz5Ltbcdun6kLiqHEA06r9Uz5Wy2e5SenuU0X4dLu6VQ8x3nymnKGLDRdjLALAGACCdeCLjLF4xthSxpigy+4PQKweyYVjAc1rlDroCF0JAlnTqC5AoVoDXSWaDCb8FpuLJ5YdxeCZm1TZI8ktE3HJfynSFBhSpB2Xlo79wy2nZesiELkuHg8uPuzw2hwJMBtPOvYCBMydRk5ZHVZYZo8MwLsbE3Hzx3sUB8l7vj5o7UwLqxocCtm/STxMtdlwOTYetZZT8ZxW1TdreprlHs8SUecqJ8wK1ZV2mHLG456yNxG0XoUyyw63fLJH9jeCwOVLalX2GwLC0qya/qZDuPbFBA5uo8W0T6flPEXZuLnRuOnj3eCcY/nBLLtrrKxvRopIS+lNE6SF21Jtgh87OrW0i2n0UXT88Rf1sn7mHDbxvwDHtnpiswolW0Yp4j4gVmY58of9mRjz/narI5g7iPuwFYez7Pc5GYgAACAASURBVPbXNhnx2Q51dr02x/Ujsza3BS7GWCcAawG8zDmvAvANgAsBXA4gH8DHGo83gzEWyxiLLS5WH5HbHcod2EA4CIPkEmLhRGnwnPb5Pny/NwNbkwoczoqHvbXZZslqwofmJQtHHbf4BWoJCir8l/9NvBOjT6kx/EkVUazVIqRWqm5QviZpoEFxddQkXjZyjkMibQhjDNuTi5yeFzAvq109bwci18Yrzr7+TxJDzahhSVHasbsjpA/o3t7tzidK5NQhJ2QKnWazAyHY2fMmprSmEd/v1Wa4LLxjH2w+5fA8RdUN1tm5VrsjJf69+rgm7Y4YLbZ9YtR4Qj61PFazkFBR14yL39pi/X7zx7bCqhAWw9EgX1TdiIziWuw6XYR3NyZh7iZbDV5GsW+9yMRG8Y6uQ2qPN3+Tek2kJ2nUoOFyl8dkslcIExW50EJaOZDW0geXOwgjc6MDRxQ54V9sTxrQkeYZY2EwC1urOOfrAIBzXsg5N3LOTQC+R8uyYR6AgaKfD7Bss4FzvphzPpZzPrZ3797uVE817mqatCAeiJTOm3SuCnM3peDZFXF49Af7hzzubJmsq7KAVnsy4RmNUfD2crZiIR0oftifqen8cnUREDRynvSyWnU42yblCmMtyz/O7JiEa/8z/pzq2ZecMPL08lhEREahrslgI5RLhRpFDZeK29O7c1tN99HZayGeJe9JLUZGcY2ihkvMS2tOwGjislo56ZaXfzlhN0g7Q5jJO0v3NG7uDox5fzsAbcmcHWl0/jx5TpP90qM/HLGG2nDVYcOV0DRqcBY6QoiUr0ZOrG00CwY/H8m20Yy6EtBSDVsS863OMKpR+QgczijV3ZtcLXbvrzQYsegiDEaT5gjtiXmVirET5SavrnbLnHMMm7XZxv5vRL8u1s+OJh+Ogh3L1Uec4cLX2i53vBQZgB8ApHDOPxFt7ycqdg8AwSJwI4AHGWNtGWODAQwF4BdhnR299Hq3j7hjV9PXZMrEEVl5WH2HLkU8EAqzCOEh/GCLa0l1XZ2Zy2Jns+TeIfp3a++0/PYU26B+YkFYro3El9sSTkB9ReXuV7SlDiPe2WqjEWvbxvYVVbThUnFeBqapw9FqQP6fNcetHbySV6hAQ7NRdqCWntGZdlWMIAg5G2QeWxpjFwy1qFq9sbaenfa+MyXWGFDrNDhkiPFUTkq5TBByaL0fw9/eYm0rqTa+tsmIb3anu92nPLfyGCYt3K06ThkAlKq0RdIiUOuN9L5Iw1ZMGNqipLho1mbMWBGn6fjTv9hvE91e2gfUNRkQERmFX46a74GwuqH1CTRxs73kOxuScMX721HTaEC7MPctnHydLs8Z7lzheACPArhJEgLiQ8ZYAmMsHsCNAF4BAM55EoBfASQD2ALgBc65vn7SLuJoxirMKNxtxpWHz4JzbqOxUPNs6CrMAIiKt7dpmvjRLjyyxPWwFM4GVy1ItR6CgOHqfQhTMRhJjy0V8qRpkeQ+azG2lt4vqSZmrSj57SpJ587BkSAjhKixhwoJ0agp1By3i2l6T+QEI6k8qaUTFi5N3OlKc7IBZm/TeRKtmWycMBHVDc1YE5MNzrnNPXQnx9sFGjwHbQPO2iJoj3yFGvtBaYmCqgZc9OYmPLLENijo3V8dwAdbTiHKSaiIX2Nz8Mdx50mix86Jdri/QOQV+dpv9qFw5FBjF6qWFBkv2xsvll/ZiTtb5lSgEGuJgJaJnF4IIUC+sdiOCasiYsP0T7anYm6UvWfgtqQCq/e7uL8qq23C9uQCq/mIOzjt33wsj7VxXkQezvl+yHfJmxz8Zi6Aua6e0xdIPdhc5a31iSirbbJZEkpQ4eUmJ8zsOu26ge/bG5Jkt4vXz6U4ekYbDUY7o3A9EW6XFkHBNnSBe7Y5N3y0GyPP72Lj3n2FZRlKei41PL8qDpsSbJMWj1+gHCVdahD9+Y4zWB2Tg5VPXW2zXU01enZsq76i0D5rZUy9tsPE7XN7ypdTf34T5wgBsznuwfRSWS2nVi3xW+sTseHEOQzt2wmj+nezbo/JKsM1Q3pqOpaAFiN5R95Z/16tTwoaV1GjCZW+J44yAwDOPb0FE4B7xgxQdW6lVYx9DlKPeYMpn+2z26ZkNvC3bw7h2YlDHB6vVkUaKzWsjcvFlqQCXC8y0gdaxgLp/Xxu5TFkLZgGwNxHAcCsaeYoUXtTizH8vM5WbVvWgml27/Urv6gTdp3h5wouijQPqGukAh3iw3yyPRV9u7S4HkvTbcghrts9Xx9ARGSUbcBLL+BoQLn4rS02yz5bEt2zbeDcVmsgvNgcwE0Ld1tfZrW4Emzy+322NmjSWDpiIUir5k0qbGlldYxZuI3JVB/yQODS/l00dUgLNp/C9C/sBwQlGNQLxiYTUO+gbTjn1j+1CCXFg+jjMoa+riA8A5kldUgtdH8mDqhfwgKAGh9rsRzhyOnIVfQ0Syu2LCvKaRS7dwjT70QWxl/kmgAu4OiR/86JA8mLPx/Hmphsh573anj1t5PYnlyIdzfKT9C1NM9jS2Nwz9cHbbZ5yibXWX/siWdVC61e4Hr0hyNO1dd6cmFv5eB6zlAbB0tvpHZEUsQq9udWHnNo1OgMDmBfWsuAKaQz4Zwjo6QWn6iIwyJ+5aSxouqbjE6DS2rxnPKVzYAry7icawtzcqqg2s4D1CGMqRaQ4rLL7JZLxdzz9UEMnrlJk4bLk00hJNP9bEeqTWylsFCGhVtPq1recocmg/8KXI0eqBtj5sFTCAezKSHfGllfbNT95U7nE7C5USkwGE2yGQ48Ed4hNMS9YfWQhvhxckSuS8CVTpZSXUXrOyb0B84cWPRCzoRAzMcuxPHSk1YvcHlbpezpnGZajH/V0s0Ds0BHVNbba/BcvW0NksFg4bbTToNLalrG8k04HjuxSXp/OrW1txbg0HZtWjmZU6FanHtquXwyXM7Ny0mCoK1Fg7g9WclexfkxHr1mkKpz5JbbDhxtQkLw5a403ZZElKhyEp7ElzTKBMB1lxDGcOsnezDhw134alcanl91DM+uiENiXqWNUffCbak2KV/k2HDinOKzoSZsjFbcjS9348V9dKqJGamDiBJqQqMI9qVqxrGIyCgsUHDE8tQ4KBe6Qoyvc022eoFLDXP+0i81gJpEs+7wyPfuZaaXo32Yy6Z+mrni/e2y9nLicfc9BTW3FVFZ6fslJ8y5g680XCWS50haD7lgmJwDS90I2aEGZ3HLBMQRs8VwAGdEwSi1GKW/8PMx2XApappoYA+znddD4y5wWE56LBubTNHSeqXGZf/v9shkuQgQpJMagUkf7bJ+1rr0/tKaE9awIx9tbQmOLBe5XWxPZDRxLNhsP8j/S5Kax59R4+ijhRHvbJXVMJ0qsO1n/5RxqJIiGMs3G7ldGqFfY3PssoIoJf/21MTPmVezr028SOBSwRIdB6nnVtq/+FpSkDjDUQJWV9HLZkUt38oMPuKZiTtpYvSeWbnjpeYO0nauUiFI/nQoS3XSV1f5Q2VoA0d3TWyErUd7vaGQcF2MEK5Fa0R2sQAgHsD+73dtGq/5MkJCoNDQLB/vKUsUkFWNvaqrTPt8nzXHYHRKoWz/4U3cfWY9ERfyVpkMC1MlBvuZDnKcSsmvrMeiaNvl3Nd/N2cFcUZWSS0KKr2zxGiHjyUuErh8zBu/x+MBFQ+pWvSKmC3m3Y1JiDtbjssGdnNe2ENoeU+EmfH7Es1kmU45v8QI0f31JiIyCo/+oKytlKrGy1QYg+ZXei8xsDOUvNCMJg6xCUytDks+x1TYPgq2H1IPsUaDEcez1QkL4haRpsEJZuqbjE7Dojiy13OXs6V1eGt9IpqNJsXE897E3TmCmmTkWpFbOjVx4KaPd+OMZUKtKaSLG9c4aeFu3PKJulyOeuNpkx5nkMClgLfsln7ROaSCpxQu6UU1dmkkvMnaOG1GyQ3NRruI9+JwDoGAI/tCaTvrlUDW15TVNnk18wMAnKtoma0fSi/FV7vSUN3QjKoGc2obqYeVEjWi5dR0DdqCQMJk4pi3KcUmd96FfTp5NTm5EgzAMQ9q0tTizHDbGR5KHCBLRnEtFrmQn5BwDe8Z5wQYg3t19JlXoD/SYDA6dOP3NL9pFLhG/2+bh2riH0htYhzlHgskZv+ZjJVPj3NeUEfEsZAS8iqRkFeJI5ll+N+dIzUdR2vy6UBkyJvmMIsHRJ7EW5MK0M6JJ7M3GP72Fl2DMLuKsyC6zvC2EiYqPh/vTm/AFzvTvHtiH+DrOF2+f0v8FD94b/0OT3j0eArFwIlB0q5S1XiwaLiqGpo9ll9PCTlHipT8Ks3LD0HyaKlCLPA3GUyaJ0SewB+ELT2Qc3jxJG3bhOBVlVH2A52ATl4dzPjafdTfYDDbagQ6vl7D1wuphkuNDVcgwLn2CPeeoLi6kfoAB5zSIQ0LIY+3H7tGg8nnEfdbC61e4OrTWT7dCfW1tnCoj+fizwTL0ptUgxcsGq76ZiMqdA7d4Sr3f6fNmSVYhHnCt/h7AuZAxte3ttULXH+7Uj4Xl7uGj/6Gu04Ajc2moFhmLXEz5YW/cKbI1gtuc6J7KYP8iXtVGql7Gq1erWdL9Q/JQrQ+/EHDG6z4elLU6gUuJe+3YFOZnyfK4egK3rYr8BTBInAR/ofaGGQEQfiGbYrZKLxDqxe4PB0I0l+QpiTRSvAIXMGx9KaFh8YN9HUVCIIgWj2tXuBqLSh67akkWFzetaYYcYXXJ1/s8XNowZ+WukYP6OrrKhCEX+NrTzrCc7R6gat/t/a+roJqvnnkCpd/e/WQHm6dO1g0XN6gfZi29DCe5khmma+rYGXePaN8XYWApks7Cp0Y7PjasJvwHK1e4Hrl1mG+roJq2mnM8yZw9eAeaHRTw3Uyl4LAquGvf1/vkkbJk0KaN7R6avF2FHkx+16/0Wfn1gs/akqXiJwy3NdV8HsCLZ7Y4kev9HUVAoZWL3BJM577MzcM7S27PVwmyvPaf11r/fzm1EtQKmMsnrVgmuzxHrn6ArttOWX1uNxBLkWtSX89wfOTLvR1FXBp/64uCTiTLpZv22DDVXlL7nfhodq6r4E9Orh2cj8i0DXNzW5O/FoD/jRBUkMfNx2yWhNeF7gYY5MZY6cZY2mMsUhvn19KaQAZUYeEMOx6bZLd9tQ5U+y2XTmoBxb+/TIAwKj+XdEhXN1SRNaCaZhz96Wy+x69ZpDi7/whCv2zN3hP4HrhRuVzOZqhfvHQGNntC+4djXfvGGGzLeo/1+NVDRrYru09l//zYRkhPObNmzUf52SOa5rS126zt4tb9/x1mo8j9/4Q+jBxmPNJQxuNQrIjLgtSe8CsUu15OLMWTEPK7MkeqI1jrrigG9p4M/ljgONVgYsxFgrgKwBTAIwA8BBjbITjX3mWI7NuxpBeHZ2WayujRfplxjWeqJJDBquoq8B9Vw5A1oJpCAlhmHzpeTb7rhzUXfF3jDHcedn5dkLFtNH9ZMtPG2W73VfaLm+e9/HrIhT3iTug2XfZ5uMTx0O7wTJALXvyKnTtEIYnxw+2KTvy/K647qKequs0eeR5ivuc3Zu7Lz/f4f7bRvS12+bKzLZjW9dskA6ll9ptu7S/9gFXzfvz75suclpmjQ/efTXcNLwPHrt2EN5XmDR5kscUJmQPXmX2kp02qh8GdLe3mT3+9q3InD/VZlvGvKl25aSsf2G8C7X0XwT7xt6d5INxO6N9eCgevWYQOoSH4q7L7ftvV9ntYJKy9l/XeXSy/e0/gmu50tsarnEA0jjnGZzzJgBrANzl5TrY0KVdGHa+Nglpc81aoumj+2HFU+Mwa+olVoHqo/tG29l/zL5rJK4e0hNbXp6Arx5uMWb/8uExyFowDZnzp+LvVw7Ab89dizUzrsHDV1+Al24eCgDo3bktshZMsxH0bhDNDqdceh6+f2wsTrxzK3a/Ngnp86baLP9tfXkiYt+6BZ8/NAbfWdbPxcLf8n/aJ/997oYLrYNEu7AQrP2XWTvQs2M4AODrR67A1yKj/M8fGmOjVejRMRztRHZG4tnle6Ikv53btbEeW8zEYb2tgsi4CHsD/ofGDcTNw/tgyWNjAQDjVQgaaXOnIPq/N1i/h4WGIGbWzbj+ol6y5eUG25uH95EtKzgohDDg0Myb7ITKPp3thQ0h/MKj1w5Cz47hOPLmzXjs2gjrcuFf/74e11/UC907hOG3567F8n+OQ9aCabjxYvs6CN58Vw7qgeduuFDR/kg8UL175wjrMybmw/tGI3n2ZLx66zDZpbkLe3fEogfHKC4xA8AkUR03vDAes6ZeolhWiTsvOx/TJUL75QO7YYOTgXPC0F543jJ43DOmP/45frD1uf/zxesx/95RmuxIDs+8GdcO6YmT79yG9y0C8a/PXourB5ufy/+I7uGo/l3x4X2j8cPjY63P5C2X9MUFouVJ8bMR3iYEH1s0y3pz1+Xn42DkTXj/7ktxQY8O+PSBlvP88fx1iJwyHD88Phaz77oU/7BoJD9/aIxDLanYfED4rHWpVuD6ob2w4ilz37P+hfHY9J8JOP72rXj5lmG4aXgfLPjbKEwf3Q+fPXg5Tr0/GRf27oivHr4C3TuGgzGGoX06AQBWP3MNQkIYrh3SE89PuhC/P3ct1r8wHlkLptn8KeXcXHDvKHx032hrn9pblE1krGWi+flDY6ztLebivp0Vr0/8XHzwN3nnj2sszkmbX5qAU++3aJyuu7ClP1Pqcx4aNxA7X70By568yma7nKmE2GREzPt3X4rk2ZPx2YNj8H+3D0fWgmn4ZcY1uLR/F4SHhmDf6zdi56stfaa0X3v5lqHWMUGgZ6dwm3t1/O1brZ8ZY7KxDX97rqV+V1wgb4qy/ZWJ1s+CQkM8Jn77jyswNkJZMSDw6DWDMGPiEKfl/ALOudf+ANwHYIno+6MAvpSUmQEgFkDsBRdcwP2JZoORm0wm2X31TQZeVtOo+Zg5ZbU2308XVPHaxmaX6ldZ38RXHzmrWEc5GpuNPCmvUnH/ofQS/vyqOJ5bXsc55/xoZimPz6nghZX1fP6mFL43tYhzznlDs4HvSy22/s5kMvH6JgPfnJDvsD4Go0lxf5PBKLt9XlQyj8kstTlXs0xZg9FcB6PRZD1WelE1T8it4JxzfjKn3Kb8H8dy+ZnCKsW6mkwmXlBZb7fdaDRxg1H9PXdEbWMznxeVzAtlzpOQW8Fzymp5bnkd355UYN1eUFnP8ytayv9yNJvvSy22toGUJoORG40mvjkhn9c12u43mZTbQwmD6PqbLO9IfE4Fr6pvst5PaTtnl9bykuoGm+PsTCnkWSU11u/SNk3IrVB8JoTyTQYjL65u4JX1TTynrJY/9WMMX7wn3e461VxTk+R9r21s5lsTW57nlPxKXlXfxDnnPK2omjc2t9Rt0Bt/8UFv/MUNRhNPyK3gv8Rk86KqBp5dan7fTSYTL6tp5NUNzdbrFPoX4Tr0xGQy2fQ1pTWN1mcjMa+Cx2aV2ZRvNhh5ZX0Tr25otn4vqKzn5bWN/NjZMn4qv4pnFtfwpLxKfrbEtg/zNsJ7qdQPcG77jorflSrRNYppbDZf78YTeby2sdna/21JzOdf7jxjPW9hZT2vkfm9MwxGEz9wppj/eTJP8dlMyqvkGcU1Nr+Jz6mwPn8mk4lnldTwYsl7pJXGZiPfcCLP7r3PLq216YeMxpb7W99ksCn/wHcH+R/Hcm3uf9zZMv7XyXPWfigms5TP/jOJF1bV84NpJdZywm+EPuLt9QnWPlpcxx8PZPLXfzvJo5ML+HXzd9hdh8Fo4pmi+1VYVc/PVdRZ285bAIjlCjIQ4170QWWM3QdgMuf8acv3RwFczTl/Ua782LFjeWxsrNfqRxAEQRAE4SqMsTjO+Vi5fd5eUswDIA57PcCyjSAIgiAIImjxtsB1FMBQxthgxlg4gAcBbPRyHQiCIAiCILyKV8MWc84NjLEXAWwFEApgKec8yZt1IAiCIAiC8DZeteHSCmOsGMBZL5yqF4ASL5yHUA+1if9BbeKfULv4J9Qu/oc32mQQ51w2KJ1fC1zegjEWq2TkRvgGahP/g9rEP6F28U+oXfwPX7dJq0/tQxAEQRAE4WlI4CIIgiAIgvAwJHCZWezrChB2UJv4H9Qm/gm1i39C7eJ/+LRNyIaLIAiCIAjCw5CGiyAIgiAIwsOQwEUQBEEQBOFhglLgYowNZIztYowlM8aSGGMvWbb3YIxtZ4ydsfzvbtk+nDF2iDHWyBh7TXKsyYyx04yxNMZYpC+uJxjQuU2WMsaKGGOJvriWYEKvdlE6DqEdHdukHWMshjF20nKc//nqmoIBPfswy/5Qxthxxthf3r6WYEHncSWLMZbAGDvBGPNIEuegtOFijPUD0I9zfowx1hlAHIC7ATwBoIxzvsAiPHXnnL/BGOsDYJClTDnnfKHlOKEAUgHcCiAX5tRED3HOk71+UQGOXm1iOdZEADUAfuKcX+rtawkmdHxXZI9D74p2dGwTBqAj57yGMRYGYD+Alzjnh31wWQGPnn2Y5Xj/BTAWQBfO+XRvXkuwoPO4kgVgLOfcY4FRg1LDxTnP55wfs3yuBpACoD+AuwAstxRbDvNNB+e8iHN+FECz5FDjAKRxzjM4500A1liOQWhExzYB53wvgDJv1DvY0atdHByH0IiObcI55zWWr2GWv+CbYXsJPfswxtgAANMALPFC1YMWPdvEGwSlwCWGMRYBYAyAIwD6cs7zLbsKAPR18vP+AHJE33NBg4jbuNkmhIfQq10kxyHcwN02sSxbnQBQBGA755zaRAd0eFcWAXgdgMkT9WuN6NAmHMA2xlgcY2yGJ+oY1AIXY6wTgLUAXuacV4n3cfNaKs32vAy1iX+iV7s4Og6hDT3ahHNu5JxfDmAAgHGMMVqCdxN324UxNh1AEec8znO1bF3o1H9dzzm/AsAUAC9YTFd0JWgFLovNwloAqzjn6yybCy1rvsLab5GTw+QBGCj6PsCyjXABndqE0Bm92kXhOIQL6P2ucM4rAOwCMFnvurYmdGqX8QDutNgMrQFwE2NspYeqHPTo9a5wzvMs/4sA/AGzSZGuBKXAZTEW/QFACuf8E9GujQAet3x+HMAGJ4c6CmAoY2wwYywcwIOWYxAa0bFNCB3Rq10cHIfQiI5t0psx1s3yuT3Mzj+n9K9x60CvduGcz+ScD+CcR8A8puzknP/DA1UOenR8VzpajO7BGOsI4DYA+nvBc86D7g/A9TCrEOMBnLD8TQXQE8AOAGcARAPoYSl/Hsz2WVUAKiyfu1j2TYXZUzEdwCxfX1ug/uncJqsB5MNs+JgL4ClfX1+g/unVLkrH8fX1BeKfjm0yGsBxy3ESAbzj62sL5D89+zDRMScB+MvX1xaofzq+K0MAnLT8JXlqrA/KsBAEQRAEQRD+RFAuKRIEQRAEQfgTJHARBEEQBEF4GBK4CIIgCIIgPAwJXARBEARBEB6GBC6CIAiCIAgPQwIXQRAEQRCEh2nj6wo4olevXjwiIsLX1SAIgiAIgnBKXFxcCee8t9w+vxa4IiIiEBsb6+tqEARBEARBOIUxdlZpHy0pEgRBEARBeBgSuAiCIAiCIDwMCVytBJPJmnuK8AOoPQiCIFoXJHC1Eoa8uQmDZ25Co8Ho66q0espqm6ztQRAEQbQOSOBqZTQ0mXxdhVbPuYp66+ftyYU+rAkhx6+xOSiubgQA/BV/DjlldT6uEUEQwQAJXK2M0FDm6yq0ekJYSxs881OLFy7ntMzoawoqG/D67/GYscLcLi/+fBx3frnfx7UixNA7QgQqJHC1AiIio6yfSdzyPSaZAWPdsVwMnmleZvx422kf1IoAgMS8SgDA8ewKGE3mdiqva/ZllQgRnHNM+HAXVh05i5nr4hERGYWTORW+rhZBqIIEriDn798etPkuDPWnC6qRdK7S+xUiUCEzgP/315PWz1/sTLN+bmg24rfYHLK905Gi6gZsSSzAsexyLNmXgaKqBphMHGtisvG0SOP47Z50H9ayddJkMGFTQr6iFqvJaEJueT1m/ZGI1TE5AIBNifnerCIhYdfpIvx0KMvX1QgI/DrwKeE+R7PKbb4LHdnti/YCALIWTPN6nVo7eRXqbYJ+j8vFW+sTwTlw/1UDPVir1sOsPxJtbOcOpZfilVuHIXJdgk25j7aSptHbfLz9NL7bk4Gf/jkOE4fZB+tuNtoLYu3ahHqjaoQCTy47CgB47NoI31YkACANV5Ayc12CzVKiQEOzCa+KtCmX/W8bKuqavFm1VsPBtBJEREbhpTXHAQBzo5Lx7IpYvLHWdmCXayeBnHKzcFZS2+i5irYypI4KO04V4bmVcQ5/IywvAmatY0RkFCIio9BsJCcUPUjMq8So97Za22bephSMfm+rdYlX4KtdaXa/bRNChhKe5JElhxERGYXTBdUAYH32D6aX2JQj5xLnkMAVpKyOyZbdnldRj7XHcq3fK+ub8e2eDG9Vq1VQVN2AtKIaPLzkCABgw4lziDtbju/3ZWJrkjqvREETmV1q7sTCQuhVdZfEvErM25Qiuy+3vF52u0B+ZT2W7MsA5xy55S0Di9zyMKGd6V/sR3WDARnFtQCAUwXVqGowYPoX+xF3thybE/IRERmFb3bbL/N2aEsLNZ7kQFopAODT7amoaTRYtz+3Ig5ZJbXW7xtPnrP5XWZJLQoqG7xTyQCBntQg5EhGqeK+8FD7gfvbPemInDLck1VqVdzw4W7UN9vaXP3tm4MKpeX5LTYX9181EJsTCwAAbci71G2mf+G6t+H1H+wCAPTsFI6TOS1alyeWxSDqPxPcrltrRhwmRQ5n7w4puLzDlqQCZH3TImB17RCGSQt3W7+f16WdTfkbLfvIbKUFEriChFd/PYm1x3Jxz5j++ON4nmK5qZ/vk93+5c4zOFVQjb9dMQBP/ngU/xw/GO/cMcJT1Q1qpMKWKggWgwAAIABJREFUK7y+Nh6vr423fheHkiB8R155PX48mGX9nnSuyneVCRKOZZc7L+SA//2ZjIq6Zrxy6zCdakQISDWKpyzLigDQr0t75JS1CMvndTULXN/tSUdDc8tS+9+/PYijWeVInn07OoS3bpHDI+sUjLGBjLFdjLFkxlgSY+wly/YejLHtjLEzlv/dPXH+YMdk4tiaVICzpbWobzIP7sIyoSNhyxELt6Xir/h8PPmj2QBy6YFMNBqM1nV7wjlltU1YdUQxUbxbdG0fZl1eJBxjNHGcKrAVhJxpUdTSRqIhfmf6CBRXN6KSlhZd5sWfj7t9jM92nEF2aR2qGqgd3KGkptFq07stqQAfbDmlWDYmq8zmu7B8OH/zKXwanWrdLjhufbbjTKu3F/aUYYgBwKuc8xEArgHwAmNsBIBIADs450MB7LB8JzQy+69kPLsiDjd8tBuPL4vBCQ/FoVkUfQa3L9qLoipah1fDFe9vx6w/Ej1y7DfWxmPiR7tQTQOKU1bHZGPyon028ZmuW7BTl2N3DLf1iOvZKRxXzY3G1fOjdTl+a0PPIKYTP9qF//5y0nlBQpGxc6Jx+eztKKpqwIwVjh1JpLz6m+N7/92eDFw+e7s71Qt4PCJwcc7zOefHLJ+rAaQA6A/gLgDLLcWWA7jbE+cPdqISWuLOxGSW4e6vDnjkPII6uVpkKEnYs3R/JvakFmv6zZgLutlt2/DCeMXyjQazir6yvhnvbUwibZcDDltsGD+NTsXyg1kwmbQN6mEO7OXCJBougyVMgXgJhXBOTaMBEZFRuvdd0SmUKstVxFraw5llDkoqM/HDXU7LyHmathY87vrEGIsAMAbAEQB9OeeCtFAAoK9M+RmMsVjGWGxxsbZBrLUg5HlTy6SLe6NXp7Yun0/rgNXamP1XMh5fGqPpN589MAbXX9TL+j08NASXDbQXwqQcySjDjwez8NrvNJMXMJo4KutbBgvhad19uhjvbkxCRkmNpuP9faxyvLMGiX3eIQcOKoQtFXVNOFtaixM5FfjT4tF2MtczwZdrGw2oamhGfmU9zlXU27VbayenrA4GS0iThmYj6puM+HznGev+/6x2bZk3W0VoiNYc386jFmyMsU4A1gJ4mXNexUSGv5xzzhizG8k554sBLAaAsWPH0kivAz8+OU7VzEMJQbtC6McFPTtg5dNXW2Nw3Xn5+ap+J6jtxe7YrZ05UclYdiALKbMno314qJ0rOtPocBDmwO2trNbWBuX3uFyFkoSY9OIa3PzxHq+db+S7W+22kbecmbSiatzySUvg62vn7/B6+irOueb3MhjwmIaLMRYGs7C1inO+zrK5kDHWz7K/H4AiT50/0NiaVID9Z0rstptMHIuiU+06ejWsfuYaRP3negCAO882xRoyc6aw2prC4qU1xxERGWUTl0YtI/p1sX7e+383Yt3z12HuPZdqOkaRRi1nMLPWIvTEnS23+a+Gtm3su8CuHcIBAA+NG4iYN2+22fezJZ2MHJxzbE8uxGfRZ/DHcRLEAGBzQj7u++ag5nyHjpbXnfHzEfkYhO56QwYLi/e2xF0c9d5Wn+QKTS+usQZQnfrZvlaTkNxTXooMwA8AUjjnn4h2bQTwuOXz4wA2eOL8gcizK+Lwjx+O2G3fnVqERdFn8L8/k8A5V728N2vqJbj2wp4YeX5XALaRsgnXuOPL/Xhng7kdNpwwL4ksF4UIcMboAV1xcd/O+OSBy6zbLujZAVdc0B1tLelJtMYU4py3+uUSwa5K7v0BHC+JP3X9YLttD40biIv6dMK/bxqKPpLYQiU1yoJubnk9nvkpFp9Gp+IVMt4GAPxr1THEni3H3Cj5gLNKjOrf1eVzvvlHguz2e7/WFgsvWPk1tmUyUN3gG/tcQcMGAMn5VUgv1rbsH6h4SsM1HsCjAG5ijJ2w/E0FsADArYyxMwBusXwnHJBaaH4QN5w4h8EzN2HIm5tU/e6ZiUNsvrsjcAlR68tqmxARGYUVh7JcPlYgIxhGi++lnIZEia7tw7D1lYkYfl4XxTJXRfRQfbx9Z4oxeOYmDH97S6tOMdO9Y7jD/bd+2tK5L7h3lM2+MRfYR6bp17U9ov97A87v1l5TPcI1PAutjVKNGvpWuNrkFR5Zclj3Yw7soe09kWPyIvn4kMGGp7wU93POGed8NOf8csvfJs55Kef8Zs75UM75LZxz11whWhHRyfp43ZjcUNlGJeSjodlojWX09oYkLDuQaTV8bW2IZVct91WNJur7x8daP0f/dyLuvaK/YtlNCQXWz40GEwoqG7DisGfigPmabUkFmClJLv3uhkSsPHzWxp7t/u8OKR7j3iv64wFJAvBbLumjWx2lz0JrizkUnVyI5zSGElDCU/Y9aUU12NGKPRmFND16suiBMW4fw2DpVA+ll3oszJE/QFMyPydWgz2KI9xdIn9gse3M6H9/JuPfLnqyBDrigXXeJuXAgFKEAICO6NIuzPr5oj6dMWvqJYplm0TODJxzvLMhEW+vT0R+pT5BPv2JGSvisDomG42GFqF1+aGzeGt9orWzBsxhUpSYPrqf3UCu58Au9R5+7bd4hZLBydM/xWJLUoFfJzG+5ZM9eGp5rK+rEVQMP6+zbsd66PvDHgtz5A+QwOWHJJ+rQkRklF20bHfoK7FF0UoxBT/1Kl3amR2IQxWMuh6/dhCOi4yAOYBtFm3otfN3Wl2+g40vdqQhIjIKd7iQF7Gjh9OKCImXBaJTCnHd/B24Zt4OvLVe3q4oGGk2mrDrVJHVA5fwDe9tTMJVcz0fkLejTsnDxQ5I/iy0uwMJXH6I4Pr/zoYk3Y75poymZMVT43BVhK0Ny9aXJ8r+/o7Lz3dbSxaoFFQ22CzturM8q4Yfn7wKmy3toKSBMXEgQ7SUJq1SMIXy2CsKKvulJWhiQp7r8Zuuu7AnAODhqy+w2b7tlYlY+69rVR2jc7s2aCMRhpcfyrIrd66yAQVVDVh5WN5zLhipaTTg2z3pzgtq5L+iXInLnrgKH//9MgelHXPV3GhdJ7T+yI8Hs6xa10aDEVsSC5z8wrc88n3LKsqh9FL8ejQHWxILsCUxP2i8GEng8kNS8s0dgaPlEa3IGfROGNrbThC7WEE93D4sFBzB8dBr5ZVfTuDpn1qWIZpcFGaG9e2kqtyki/ugv8VgW0nDZdcWkq/Bkuy6odmIxzQGlXXGqAFmD7gB3c33+N4x/REWyjCsb2dcOUid08K3/7jSLur88ezgtT3RwstrTiDeAwFN/3HNIADA/WMH4MbhfTD50vNcPlZxdWOrMdQGgI+2nMZzK/WxrxNz52Xq4geqQRwEt0+Xtnh9bTyeWxmH51Yew+7TwREEnQQuP0OtJK9XEL8xF3RXdSzOgYPp8gaXnHNEREY5NFgONP73ZxJe++0kGpqNdtHEHeUDe+WWYYr387FrIzTXQ6pFEZBqTKQCWOS6eGucm7Qic8wbLSEsfE16cQ1GvbcVR7P0m3QId0h4xUItQuknD1yOM3OnajrWmAu6od7iBNGns+tZHIKRjJJa673RwrMThyBrwTTF96dHx3BkLZiGD+8za7b0mFTsPh18oSBHvLPFbjn3rIYluumj+zkt072D2db0swcvl90/dZTrwjAAdGkfZvM9WMJGkMDlZwhhIPTHsSD30s1D8a9JFyruN3GOr3ba58DKq6i3Ll/pqZHzNcsOZOH3uFxsOJGn6XdPXh9h813cIbkyPqgdVKRyuhAnDAA+3Z4KAHh3o35L1J5m9ZFsVDcY8PzKY7ofW4jLpaQ9VEObkJauU20Q2vTiGmscr9l/JlMgTgu3XNIX/3f7xXj5lmHOC4sI0WH0mq/B6cXf4Zzjq11pqGuyF3a1pIObe88oh/ufuC4C618Yj4/uG61o8jDPyTGc0SjJTXo4SFJokcDlZ9y+aK/zQi4woHsHh/tfuXUY3pg8XHF/WGgImk32S2njF+xEU5AaaAPAG2u1GTtL43JdPbin9fNlA5znSpQiaLgeu3aQw3KOxGk1+c38FVc0JUoIQqnWkHQThvay26akeXTEzR/vwYQPdiG1sBpLD2RSIE4LL950EV648SK0Dw/V9Ds9NFxtw4JnCHxi2VHFPIVaQi10lWiX+nZpixuG9bZ+H9a3Mwb17Ogw52i3Do5j4zljUXSqzfdgidsdPE9bK+eiPo7tg/p2aYdT70/WfNyE924DYDa6bDbKP/XZpYE7oOuNsEyVOmcKUmZPxnldW7xDL3UhenZICMPpOZPx3h0jHZZztBQdyOZcRg8Yy7YJNd8QqQ2WEj8+OQ6pc6bYbAtxUTtW32y0m723NqT9kNKdlN5zKaE6PNjxuZU23r6BSlltE/akyts5Ld2fqfl4Z+a23Pvfnr0OT4yPsH7XEuzZGbPvku/XThVU23z3tKOStyCByw8QxxZyRruwECx74iq77Usft99m/9uWGaQaD5+wUIbO7cLQs2M4yuuaFaPVf7AleNTy7iIsU4W3CdE8Y1eibZtQpwO8o+4oomdHXerhC8ZpiLyvln/fdBH+OX6wXRBUJUJDmK5R5Itrgi/ESl2T+hQx4n4IUJ4QiO/5ogfsbYVcFXqlvLBK/2Vrb/PzEeWAx7P/Snb42w6ifmrxo1cCsJ2MDOzR3qaDuUNHQ3lx3EExD0rezSMZZbK5hgMNErj8gP/+qj7v2ol3bsONw22jY4eGMFzQ0/GSoZS/XTlAcd+Q3uYBWpCvunUIQ2Vds2KAu31B8CLohaciZDvDoKB9BICNoowA8bmB5UnniXlt53ZheOeOEXYDv7f454/BF3hzxDtbXf4tU9RxtXD3GOWMC+5yrjLwBWCtqZPEiO/tbSPtjd0ZY9b0PbOmXiI7+bhsQIv2vr3lvRLCrzhCqbs0SCb39c1GxVypgQQJXD6gyWBCRGQUdp0ye8ioTTXx2YOX2wwSh2feDMBeJf/lw+6lWlj/wngALTkDu3UIR3ldEyaK1vHlGNwrcDUpgHlZbt6mlID0iBEHDXTE2QBZ/s0qNccY09MRw5dhTbp1kJ/JrzuWi7/iAzNFVnVDM2auS0CtymdPTOxbt6gOk0LYklNWh4jIKPxn9XEk5lVibVwuVrkR502NovCiPp1xeObNeHqCfbJ3APjl2Wtx7O1bsfHF8Yi3mKGIbexOvnMbesjkPFWaoLoaesff8WzoZUKW7ZYgmk/+eBSxb92iOqDolEtt3XWFTlz6zHZyM/KvNCJ39w5hyKtoUMwF2KltG9Q0GqxxjQKRnLI6cA4s3puBjSf0HQC/f2wsks95NshidUOzqnJCJ9hkMMFgMqGDh6Ovu0p0iv7u+mNVxthyhitKzIo6+fYRtNvTR+u3TOMtvtuTgdUx2ejdSbuBdK9Oba2eno7u58wpw1VlybhtRF9rpgVX8Pf3Qcytn+4BYNZc/xV/zm2DciXngwX3jrLRNIntUaW0CwtFu7BQWaEKALp2CLNqvmzPLX88PZ1l/AnScPkAsb3D2DnRqqOCS1W5gqfU+ItsvaiUbK0EbhvR1+F+4SUQVMLdOoSjsq5JUeAStCtqjZD9jf1nSjDhw12Y+NEuAECBC2mMRp7fRXHfrSP64qVbhrpcPzVUN6jTMrzws9le5YHFh9xaBgo0shZM080OK0jsd91GWMb6XCZcjF48e8OFDpcTBY+6D/422q3z3P9d4LwPDSKnCz289y7pJ993PTjuAmuwWVcYIekT5Rx7lMaq3+NyXT6vPxOYI2QAcSKnAr/F5thsK69zfb1dTJvQEET/dyK+fuQKm+2OjEk3vzQBHzkxmGeMIfq/N+D7x8YCMGu4yuuabV70Wy6xF9oETxIhHkxRdWDYRhzKcN8Gbc2Ma7Dz1Rt0qI1rKC0p9lYIyklR0bUTFir/Xs2YOMTLNfE+lfXN+Cz6jM0AucfNoKF6yK3CpFNq86MVLWETgg2pgbpePH29efmxVydzHyTXRO7EwgtESODyMHd/dQD/93u8jXQ/T8dgexf16WynBnfkLn1Jvy52cVbkj9vJmpS0W4dw1DcbUVnfsiwSLWN3JrxQKfnV+Gjraby0+oSaS/A5eiwjdG4XhiG9fWeTorSk6CzgoRCI09/p52A5w1u8PX0EgBanEoFgSaPkiDl/JePT6FSrOQSgn7G5O7fv4/svw6j+Xa2Rz92l2WgKmrx9amGM4dkbhuCp6+Xts1w/sO1XudAOE4Y6tgsONvx/wTpIKKttwpVzomWDKOqN3gOAYCtW6GSpTeiohBerol6dXZGv6algdxBIaA3QKpBdVmedgfozT08YgveduLd7GiFwbQdJuI/WMEn/zbLEU6yj1npY305Iya9C57auC0uTLu6DSRf3cV5QJdd/sBOFVeZJiF7p0wKBmVMucV7ITeQ0XGom/8EEabi8hBCNfd+ZElwzRP/YQmL0SHkhprslarAz2yaTROBqDpAI9J0VYsEEKyZRzyckSvcFRhPHisNnZT2SpB2x0nKeEjc48ah1B+mERo9lkV2ni5BWVO28oBcorGqwhhI5mF6CpHMtSYXzKlr6gM5uOucsuHc0fn76as0hbZzRs2O4ywO5IGwR+iPVHK54apyPauI7SODyEmLp/nCGdlf3/9x0keqyI/tpj2juiG6WzkvJ0woAwkNDIGT+WXfMnH8wrSgwwisYZFIWOUPJ0DQQ+FMUhsBR/C5PszomG2+vT8SyA/aRsCsl2tE2GmcR/7x+sJ0mSm8Erys9VqCeXHYUt3zimbReWnlo8WH8Z/VxNDQb8fD3RzDt8/3WfUbRu+JuWpz24aG47iL9Nf5DenfEpItb11KVFrxmc2h5L4T5yZtTL0G4yLFqRAD3oa5CApeXmPyp653ppIt747+3Xay6fFed7BkE5PJi9ZEYYw/o3t6q2dqf5v+BUO//7hBm/OR6AMr7HASO9XdeWtNiW+fLeDenCszatfmbnds0atVw9eoULpvE1x2kcpUwkATTssjYOdHIKKlV3P/9vkxEREYhIjIKJTX6OP/oxbInzdk2OoS3URFKtfVyo45LsI5oYxGuhHBBf7tyAFJFKYNag+2jFBK43CA2q0zWrul4djkW70232VbtQnBAgbpGdQPHnv+bhJ/+qb+atntH+wElWuKRF94mBJwDCzafstNs7U0txi9HXQ/M5wliMsuscXtc0VAEi92OXEJyb3HsbItn2KaEfIdltYYc8eRlCU0vDBj3O0jiq5UtiQUw+HApPlCcKOQQPBadhcVRS2szntebHh3D8c0jV2CJxdtdiisC1wKFyVl+ZT3izvp/TkwSuNzgvm8P4fZF9pqre74+iHmbTun2wnZpr85WYlDPjk6jwbtCt/b2Gi5pDiwT58irqMe3e9Ltyj62NMZlo25Ps+t0kUuJUXv6wNC8V6e2uHaIbboMd2NLGX24pCiOXfa8k3x20iVGZ3gi6bWU52+8EADQoa3t0qU7AYCfWxmH7/ZmuFUvf6NLO+/4ZoVaQ0SYdEmxpZPcpivl/8/eecc3Uf9//PXpLm1pacsobaEtq8wyyqZsBGS6UVRAwAUu9ItFUXGgqMjPPRAVlCEoInsPy957r7JLKXRCdz+/P5JLL8ldcpfcJZfk83w8+mhyufvcJ3e5z+f9eU87SvgI0aimcLk2pejfPEp0rCQ2DF0//nceZ2+a+zp2+3wL2rdIRGBgIEJCQhAWFoZOnTrhxx9/RIV+9TVy5Ej4+fkhODjY8JeUpEuR1LdvX3z66aeG9q5duwZCiOC2jIwMbNmyBV5eXggODkZISAgaNWqE3377zWr/mcBlJ5b8mpR6YP19nFPzjSPQz9tqhXgfLy9cyyl0UI+UY9Rve5FuwYQiRo0Qf/zzYicVeiTOvsm9seDZDkbb7DUJljpxVqlr4izNT6xr+pnc+dObELuduk0xXUC92L0+0qcNMNO+tYwNs+s8N3Id9xwdu5aL5I824I7ARK6UzOqodCmcT12Qn49dqSY46r21yv5GbOD8rQIM/GYrMgTSbigdiNSzsWPMi0LYalLM5s25J67nIS51pWEcXL58OfLz83Hp0iWkpqbi008/xejRow37T5w4EQUFBYa/w4d1lR66du2KtLRK5UlaWhoSExPNtjVo0AC1aunqTdauXRsFBQXIy8vDp59+irFjx+LECcuR1A4XuAgh/Qghpwkh5wghqY4+vyM5eNk2FaefqflEA+aragJ+XHynZLGSDnwcHbW4/1K2UUSeGAv2XrG6jykEznU4V4o9F28j514JzmXmo6y8ArO3X1TNpFVcVo7Z2y8aTD61Qo01QSuOVJoVTbWOATIWHZMHNEazaBUdcgUmir+e72h4PXVoc7uazy8qE1zFA9J/01L5Yct5ZBUUY/u5LDOBUq5WUQx+UtEvrCRdtoeWsWGYPKAxPn8kSVJBbCk4w8T6x85LOHYtD2uPZ5h/qMDX0orrlK1uGWcz8w1JtYfP2iW4T2hoKAYPHoyFCxdizpw5OHbsmMU2u3btiu3btxu0YVu3bsWrr76Kffv2GW3r2rWr2bGEEAwdOhTVqlXTlsBFCPEG8B2A/gCaAHicENLEkX1wJA//uNOm45QqQaIkQsV3+U7JQtntTU0rMx1oKtl+LgsP/bADP2+1fk5btESEELfIkrzrwh20/GA9es9Iw9O/7sGU5Sfw/FzL5j1beeC7HZiy/ATeXHwEAMwEhzf+OmwoHG7qg+Ujw2l+TEqCIiYlU6LDdL/nQS2izD5rGxeOfk11K197g1aWHrqOPgJBNnvT7+ChH3bgu83KldLhCnp7EWJWYuyB77crdh6OpFhlI6j5EEIwJiUB4UF+6JmojOam0yebFGlHDlwKIaHxJe2M/QFJdcIrtcfNaqt3P6xhq4br7SXH0G7qRmw7m2Wk7RKiXbt2iImJwdatW63uV1xcbNB4paWloU+fPqhfv77RNiGBq6KiAkuWLEFOTg6aN7e82HL0zN4OwDlK6QVKaQmAPwEMcXAfNI9pRJYWpnUhgYuP0Hx4NbsQExZWRsQdupKDo1dzMeq3PUb1JNXgWrbOLHNWQmoKWzRvhFQ66aqqTZHJ/LHtbT52x/nbAHRVBJ7+dY9o7UxbOaHP+bVDH8UqVI7lk1WnUFZeYWaetmVwVlrmqlE1AKc+7Ceakfu74a1x+qN+yp6Ux2G9puiL9WcUa5MTbG/kFiLxnTVGn91QKJO8MxjQIgqv92lodzsl5RV45c+DDnWg5/wqhQSuy7fluz+YUjusciGcGKWuD5cl7H0+F+6TZpmoXbs27tzRpWKaPn06wsLCDH8jRowAAPj7+6N9+/ZIS0vDnTt3kJubi4SEBKSkpBi2nThxAt26VQaLXb9+HWFhYYiMjMT777+PP/74A40aWc4m4GiBKxoA/ypd1W8zQAh5lhCyjxCy79atWw7tnBzEHkAl/C9MNS5qrNblImRS5COm7fnn4DWj9x+uPIHNp2+pHlFSuXIHrmbfsyhU2esHpaXwZjNztI2knbmFXRduK9KWKZxDe7lAKOGGkzeRLjCp2HKJO+gDDKYMUk6JHuDrLfo8ensRVf0t5+xMt+m4i1l3jYTnkrJKgZYz3X614ay93dMcIXpnfXsTTS89dF1wcZBbWCro+yYFSilOZ+QLmoe5cwmNqUoHgzgzEpMrQffbyLaG/9MelG6OX374uvWdoHN2Dw/X/QbeeOMN5OTkGP7mzJlj2I/z49q6dSs6d+4MAOjSpYthW2xsLOrWrSzmXbt2beTk5ODOnTs4dOgQhg0bZrUvmrNdUUpnUkqTKaXJ1atrN3mdWOhxRwVU0HdN8gdpYToXysXFR4pQeOJ6HvZc1K00zt5UNykqN44UFJehy6eb8e5ScRu+LYVvCYAaVXXRN44o1yTE3zy/IQ4lZb9MhbNucyZmLuGh2DPkrVCpBM4MWT3EeXUYk+tWU6wtW4Tp0vIK9Ji+Be8vP27Y9ubiI+g8bROKSssNucXsSVujdZSIxBOKZE56fx1af7jepva2n7uNvl+m4e8DV0XP5SMgcIUHKRsd7czMF9yc0SOxBtKnDUCPxBoY1q6OoufYu3cvrl27hi5duljdt2vXrti6dSvS0tKQkpICAOjcuTO2b98uak6Ui6MFrmsA+ElrYvTbNEXz99YKZr/mw19p/LnnMubuuqSoM6vWsGZSlOLOxDcTBaqQBfxi1l20/GAdnvtjHzaczAQAlJTp7sna45VFd09ct7+cDSFAVGggdk7qiQl9pCelVZLkuHCBCV05iStPpCC2XJYfvo5lh6+jd+OaAIAu+oK1YoLuVxvMTWZCAv1Ck4hNwHiS4hynqVnKUscxd4ztJl5T2sVHWN/JBE6ztWDPFYOjMVeAuqi03KgYtSfxuMyJXem8bpyv4tGruUbbL92+iyV6q4CQhktm/l+rOHPKUtMFNi8vDytWrMCwYcPw5JNPWvWtAoCOHTsiJycHc+fONQhc1apVQ/Xq1TF37lyXFLj2AmhACIknhPgBGAZgmYP7YJGi0nLkF5fh/eWWow3yCitXhKn/HMXkf4/ZpCkRIjK4UpvUM7EG3uyfqEi79lBNL3ANbBGFl2SUGeLzHs+0462QKqa8guKufnU+es5e5NwrxdrjN7HhpG4i4ZQCfLOhks7AUaGBDnee/+mpNnihuy4H1Lu8a6q0ZdPa77msvEKSL95LCw7i5QUHzbaLabj+PWRuKhD6atVDzFf7/Hvx1oDG6Nu0Jnol1rTaR7UI8LV9YWHqQ8dFBSfWsq6xyS8qBaXU6Hf//jLdmMZddyn+jUowUCDIwBE81CYGvRvXwDiB8craAtIUW3L1SWnPdOgY9dtew+vi0gqjRXxZeYXkpUPDmpZTcUzsp1sk1qseJLFF5Vj0XEc83i5WFVeZQYMGISQkBLGxsZg6dSomTJhglB/rs88+M8rDFRlZaZ0ICgpCmzZtUFJSgmbNmhm2p6SkIDMz0/UELkppGYDxANYCOAlgEaX0uOWjHIvU56rt1A2/CCcwAAAgAElEQVRm25TKcJwQGWxwnP91ZFtDdJQz4UyKQ1tG43WBMkNSvrqRH5hCz9oHy4+j6XtrUVJWIZimgdNsFfBMJqbRWLbhPENv36a18GY/nRAeW60y4qhWVcumM7kmKWvpIV6cdwBN3l0ruT1ufOX8RuT4owiNzUJm7gheepLosED89FSyKtpUR9DsPeNr+8s2ndb9VIblItfXcwrRfMo6/LLtotFvfaU+mz832TvKnKR2ck0xQgJ8MWtEW9RQwKSstO8UN16aCh38skoTFx/B1FUnDe9fWnDQqiKAY+oDzdHDQj1JLoecj0I+n3JoFx+OTx5soXi7MS/8ilfm7kbEuD+Rk5ODnTt3Yty4cfD21j3/s2fPRklJiVEerqws46jPnTt3Ijs7G148t4bvv/8elFIjh/ju3bvj6lVzc7A1HH61KaWrKKUNKaX1KKVTHX1+axSKRGZduXMPie+stuh8LeehnK2v+yWElxewa1IvbJ3YQ3J7asMVsOav2Pe83cvwWorz5fdbeOHsCo1fc3ZeAqDL8XT5zj1lGpWAVvzk+Vqo+jXEV7VbJ/bAzkk9ZbVtLZhgnUxzFGfi+2jlSRSXlcvKcm+aV2nNqylGud84rU9MuHHCVFemrILiukgy4cX7hQf77eeyMG+37pn4aOVJTP7X3HeRe1S/FDDdegpy5afrObrSMSuPWC5BxefYtVwsOai7T/vS72A1r3zVdn2krjXt+C/bLmLcvAOYvf0iVh8TyMslghcRDuaxNymv1vlTn1NRzrVyJJpzmnc220UKL6d8thlFpRWYskxcISdnAom0UBqGgCAi2B+xGpo8WsaGoV1cOBrxzBn8laMUDdcZnqO80ir6vel3FG3PGo1raSMVRDWeaWR8j/poElUVCdWDjBJxAkBseBXZ5YiKVUxU++GKE7JM8Py5I7V/IhJNrn+rOtWQEBmEVA2Y302x9KxbY8ycfYKaxtf/Oiy4//BZu/Hd5sryWptOZRp9npFbZFgYcmlAHImzxrShLWubbZMT7DL293146IcdGDdfeo66gd9sw2sLdffp4R934gVe+SruvkiJal959AamSNRscRBCRLTC7lNo3RLWSoU5CyZwmXDcikO1JXNU0gfrJJ/HUioBhYK0FKVG1QAser6joN8MYKzhSpKwijKda19ecBBxqStt7t8zs/dZ3afXF1sktzc4yXyA5qMVM5WPt5ehvmLj2lUR6OeNTa93R9s4+0LhAaC0zFwg+mNnOuJSV9p0r37lBaIUllTIErr5igAhE3v9GsHY9EZ3tK6jXFSgUtjj4nfiRh4e/3mXJHcFKUEOPaZvUcz1wRacVaasU31z4eqP0dIDGq7cMRaMrF1rfoCQpevN/8zWFBNC6Grdmv/wtJTCRgq/jBAufO2qaHBqdy5cckYxlCpPY0mV7GoPBSA/2qWCUuxLv4OPVpzA7YJiLJOYU8Uezt+SnjTQleJNf3q6DRaM7WBWUNxeSsp15nVKKRbsuYzCknL8tiPdbD9bcs8tPnBVZu3Nymfi2LVcs09HdYqT3QdHYfo8P5ocI+v4venZguNO7r1SI9PiZhNtlhBiLhOO4PF2sdZ3UglTlwd7I1etpUw5yVu45/OEs6vZxm4Pa4/fxMerTuJGbqHNKSZM+WN0O9SvESwo6LvazGJap1QOeUWlGPTNNqcuMExhApcJvayUhFh66DqKy+wftNygKgwAoGNCBIa2rG00fI3TR9BZglKKh3/ciVnbLuL5ufvV66AHUDXAFx3rmacMSIjURSBFhVaafuWEw3M+XFvO3MKkf47ik9UncUFAaLU199xaGX4W1tYgQqWltMKb/Y2DTGpaCW4QQsj8OmHRIbz+12FD3cVX/jxkto8W4O6dlHqrasHJW23jdBrQIUnRFva2jpzIZH7AztDvzCOkZ6ZdUCR/I0eKPu2K0DPjamt5e8rctZiyDkev5eLFedqZXzxe4DI1j3B1prgkjVNXnkCXT40fBiWi3CyFxLqShmvBsx3w5bBWSDujqwrwYvd6uE9fU84S7yyt9IW7aWOCza6fbZZ9jFRfL35qDlela0PdwPsxL3uzHB8nTuAq1CfitbSqv1dShrjUlVh6SJdD6LvN59D03TWi+wPmCX4twX8iqga6lh/KA61ikD5tgOG9taoNQgj5h3Kld5SJunVvuKuXEBmM9GkD0KS2fT6YQklJ+Yz5vdLFga9cyyoosct1Qg5CBbydmQRYLr0b11CkrnBhaQWGzdyJFzSwsPd4gcsUU7+Sn7dexNVsY9PHBgWSBVo2KdrdvNOwpRyMrfKlLVGJc3ddsrrPZw+1MKRdAHR12QCdKWhCn4b4+vFWss/rDFL7J+Kzh1qge8PK8HA5vy2uiO4hfQ2/NcfFNVJcNN2kf44CAD5fexp3S8pFo+zkwjcL3N/cOXmdlOKJ9vKzaQtFQHNjlVbWZ/xnhg+3uHRmVnND3iuFZrz/zgiXndt/KRuZecY1KJ35vTmWj++Czx5ugXcGNnZ2VyRTXkHtKlXGjdu9Emtg14U7WH0sQ1E/OVvwcerZNYgUe++ERcIRQnKwNEb2buK8RI32onXtnJTB79G2xr4mXEqM5jFheKpDXaFDNEmAr7fZd5FzfzgN18y0C1b35a7rPROtVadpyphKSnnPJV+74Oft5bTSSrZiqh3pVC/CasRgmYVU50KaDGcQYcVk6Ey5o328LohkQHPhYJjIYH9kFUjXtAul2wCAh37YYWY6VaPSQXiQnyzhoV6NIDSPCVW8H2pSTu3z4dqlf6be42UWeOynnVg/oZvYIarDNFwmVCakA8bLCAGWi6V5jyu664qYTrgA0L+ZZRMjXwi6onIuLVuGPk6TppS2xpnIEbikmqoGtogSdKaXipTEmEYle3hf4czU/vhlpHhOOy1i6k4wf2wHDLISFStUe5R7brQS1ZxbaB65p5X1V/0aIUifNgBdRIRzOcJWmoh2i6sMYCoIyfXZbiFBMAqQYGoLDqjUp2h9ISxERQU1JAC3hdsCAqmjqiuIoZFHVTvkFlbepBUyktzJRWhVunNST7wzsInB2dkVOZtpngXbWjbjnHuV1/wvkYSOSmFL/q+tZ3W52f49qLmyn7KRM+5aS3zKtRUXEYT5uy8bth+4nC2rT1LuSV+eX6ArTh58hMy61uaVH7acN9vGXbeLMqJv1STt7C3c39x4ccW/V1owrSnB07/uEdxuGoHIoXTOQSHaxYdj7uj2mPNMO8M2ftkvaz5nWqS8gtql4eKIDXd+pRYOJnDp4Qq7vrlY54PiaDX9sLaxiAoNxOgu8arUmHIm1h72vKLKKB4pGesBXeZmm3CTQd9WZJkUraRA4e6rqcnkwe93yOqTlC55exGDA62rCFy1Q4UdlIWe790XLf+etwkkZOau+gsaSfJYr3owEiKNqx0QaEfLJRWla6PKlbeknN20yXlj2qNLg0h04/lr8tPEOLreqxKUU6qI07xpDjVnwgQuPXkm6nA17O58TAehqQ9Yr2buCggNLnImSKmrwSsiq0ml2hfCVSZ6S8hymrei4SrVR87JMZk0jjKPDpO6uOH64wpzx+mP+uE/GaW5uIhDOfAXJ2IVMhxJ67rVzMY1QioFc1e4bx0SwnHyg36yjtl+Lgtj5uxFQbFw1K3URSSHFFO+qebH2tjkSov4+WN1CWm9iH0+XFrEvb6NHZiGmufctZ61WUlccQUihNDQIueZuZ5TJCnP2a1821JJZORJn9g+HNIU88e2Rz+9Oev5bgk2nVNLyClWW1JWISl7uRwh9kUJOdqs4gKPir+Pt8XJYmI/8wLwcikqrZyYh8/abXd79lJRQc1uDSEET3WIw4iOdfFij/pO6ZccfL29ZGtVhs/ajQ0nMzFHxI9RTgkrwPpCBzCvxesm0wcAoEN8BMamxGPGoy3dZl7kYAIXh8kzUWohKoghjlAYr5yHZsnBa5iw0HoUqK2KqoOXcyTv+1THOHSqF2mIEJMjrLgDJeUVaDFFQrkqGfdCKIeWI3xctEBPXlLlnlYSLEtByEndmZRXUDPVPYGuDNb7Q5oh2F/7QfHNo22P5Fsi4uP51YazstqxZsoHgITqwWjC0xa7kgbLGl5eBG8PaILaYYF2Oc1rEc+aQSxw/HoevtlY+WDwV48M6URXM3dQlGuKW3n0Bjp8vBEz08wdhTmUKrEkBc4XwhUdT+3hRo40baAcgUnoGlqbYA6/e5/Rey2V6pDD98NbY89bvQAA3ibPRB0bijrzM5hrgXJKDSuhkfpSS65ihm9VR1f/VQlBOCTAWLDccFJe3kapY5uLXFq74P9+3rpfe4Xp5cIELj2jZu/FF+vPGN474sf8XFfXN1GZIuSvYIugkpFXhI9XncJdkUlFitpdKdxp9SgHKSttQJ4Pl5C289JtcX+8D4c0RWgVY61YmUDWdVcgwNcbNfRlfUxLEUW4QWWDCt4PgTPLucqjo2Q384uMxyy5JkWpa0lXEWbtgT939Ex03fyUHEzgEiHYT33196T7XSfrrzWq+HkDACKC/AEA0WGVmq54O9JcNH1vreD2EoUm3Vomde2EzB6JtXR5ovjfiaGDEHnmXSHh25J256mOcWbb3MGvw7TQuDs4B5dWVIYacQsvrQsFpklKtdBdqRpjN3gMrMJ/1t3BvOj6T7lK1BIJ6WYIw9Xoq1dDJ1ytfLkL1r/WFfPGtMfwDnXxrMLavHwJztxS4OetAYRXuqO7xGPJi53Qqb5rZTS3xhRenh5bCfb3kWVSFBKWxkt0pg7w1Q1Xgb7eks+nVaqH+Bu9d4fJpLy8wkz41vq32jihGza/0d3wXgl3Qm6BZiuSnycJ0uH21J7YrTdjuyJ864I7LLSYwCWClIy0fRQowdMuPhyfPdzC7nacTf9mUYgKDcAzneMBAGFV/NCgZgg614+Er7eXUT0/JZjHS7RpD/xszIm1QjD90SSzfby8CFrVqabI+bTAyE5xGNkpDvHVg63vbAUvQmSFvaffNk/S2bNxDUnaw28eb41GNUPMfGRclckDGqN3Y90YYk/NOK3Qn1fjkl+xQ8tUC/KzSwMvxKkM8+TPcpAsb0nYJzosEDWrurbyoEVMKL58zDxi8a37EzGwRRQig/1FjjSnWhXnFr53/afcibzSq4HdbSx6riMeTY61vqPGqR7ij52TeqGBSJkWoTILUolLXYlzmQXoM+M/9J7xn+h+//2vu+y2+T5ia17tapTR3F2ZMrgppgxuikgTv6F2+npzcvAiwJVs6YkFS8vMZ5PIYH9sT+0puJ1PnyY1sfa1rm4TLTomJQGzRiQD0EWdSaFNXW0K/unTBhhN7NQgcGlc4tLDXf+QAOdOyICxL5wlXOTS2s2y8V0wtFW0mcDVuX4kvn2iNV6QmGomNNAXQ1pGq9FFybjHyGUHtkwyDPlcsLP8yH9nbuFsZgHOZRZg86lMw3Z+wVw5KufEWiFY8mInm/N5uQP8sPL5Y9vj56eSRfcVK9pNCBGtLSeEHAfiVa90kbyvq8M3qzYRSA6rVdL+1wOrXk4xvOe8uLj/rmIF+mhoM8we1RaN7DQHKkG5h6RJkYuPSdFQbryXGkBFiPNT0Hi8wPV0R+GJRArOvnmuxJCWlovzWuPDFScMr0fN3mt4PUIffg6YP5CWmHR/Y7SqU03zTr1qwtc+dKoXaRYNyEdIs/Jc1wR4EXlCVNeG4n5wcRGVzvNJMaGoEeLaphA5+PtK++3a8mt9vpsCyWZFqBNRBU1qVwqIXBFuTlPsKhquAF9vdG9kf0oIJZBSvNoTMXUl4CpUSA8yIE6v56m4wEUI+ZwQcooQcoQQsoQQEsb7bBIh5Bwh5DQhpK/S57YFeyZcuemA0qcNMLx2h6gkOcSpVJCbLwjI0XBxNceC/F3fAdtepPg1CN2/57vVkz2hxlQTj0jkUib8+WwHLB3vOdotwHg8sDSsSL3c/Gjb1P6J6NFIWR9KMRJrVUX6tAEGx/HaYZ4jNCuFpWfEk/H19kL6tAFoWFNn/uW0qKaRpkIE+XnDy001XOsBNKOUtgBwBsAkACCENAEwDEBTAP0AfE8IcfpsZ4/Km1KKX0eKm2EswaIglcFLJIrlgVbRSJbg71K/hv2O467MzKfaYPlL1oWbJIFVt7e3o0u8uy9Sc9VJueIzn2qDNa+mGG3bfFq62dcaY1Pire4TVsUP3zzeCr+NbGd1X4YxUoNCnK2tcRamz8CjybFWI0N1CzgiW0miNIoLXJTSdZRSzhN5F4AY/eshAP6klBZTSi8COAfA6U+jPRqu2PAq6JlYE1EmwtP/PWYe6cZQB35yTi8CPNG+DgDg/x5rKSn605NNigBwX9NaZivqmlXNo36ENFl+3l52X78uvFQbj+mDRxKqq6MN1TL862sp6pNvQhciyM9b8J62rhMmcoR83pKYP3BQUm2z9BeugpSftVq/03Zx0vyKPVTeMsA9Jt5eBMP1474YcRFV9MoV99Nw8XkGwGr962gAV3ifXdVvcyo592zP58RFUZmWGnmgVYyR+ZBhzMcPNFesLX9eoVkvL4KPH2huuPYJ1YOt3gcPl7fMSJ82AN8Pby1p3wBfb7tLLE0Z3NTw+qE2uufGk3y3hBCqN8kxoEUU1r7aVXabT7SX7qvKpXaZPEBYsHIVvyx7CK9i3UxVTcI+cnh/cFOkTxuAprWZD5dsrPwmfby9dE7zTq7YZ5PARQjZQAg5JvA3hLfP2wDKAMyT2fazhJB9hJB9t24ppwYXY73MOldCFPOiJJ7rVpngc+oDzbDp9W52t+9uKBm51D4+HI+3q4OnOtQ1y97NsfiFTqLZzP19vNEyNgw/PtlGuU65OK1Nco7VMNFSxEVUwVfDWgKwL90HANTzQG2WGF88koTVr6Tg28dbYVhb8VQxfj7iw7aYyUTOM8fty/d3Gd3F2Iy4bHxnfP14K+mNuhiLX+hk8fMpg5oonj+RkxnqRDAfLinwZSxLP+/2+kwEN/OKseVMpoU91ccmgYtS2ptS2kzgbykAEEJGAhgIYDit1I9fA8AfRWL020zbnkkpTaaUJlevrr6j5/5L2Xa3kVtYqSUb1KIyGm94+7qS8+t4EtyDEiHB2dF6WwSfPNgcHw5tJrpPm7rVkDaxh+F9AxO/rX/HdUa/Zu6ff0sqphqMZtHGK+5H28balM+mu95xmz/5e4K2RCoPtYlB46iqqFE1AG+JaJcAy1npTVMKdEyIACDPdM7VeeQ39b++jYz2aREThsFJ9kUea5m4yCBDZQMuanAoL9K6XXyE1YSbQmXCLCH3SQjRtx/HBDRstKA4WfhcR8Prm3nOTQOkeMpmQkg/ABMBdKOU8qvSLgMwnxAyA0BtAA0A7FH6/HK5Y+cK3RQ2f1jHx8sLpz/qBwKChpNXWz9AYf4Y3d7h53QHnu5YF7/vvIQgG+qM7nmrl8W0EwxjqAXTBz84ZFjbWPy5t9JTg+/ecOrDfgZnfCrDd4XvwH92an/kFpYiwA3KKdnKjEeTEBLgixoh/vj30HUAgJeX9XJMb/ZrhHeWHpd+IpmTB1e/9s1+ibKOc3V8BK779ZwiwX0fbhMjuN1ZqFEj41sA/gDW61evuyilz1NKjxNCFgE4AZ2pcRyltFyF82uOH4a3Npgdf3yyDe6VlFk5wr3p0iAS/j7WB/CJ/RrhszWnRT//bVRbm87vDrX4nMHr9zUCpcBjFsxdYgQH+Bjuuac7+0rBUvi6N29i5ufAAowFLr6QlJVvfWE5vkd9rDmegRe610NeUSme7hgHX28vgyZn6bjO2H4+S/J3cBe8CDErj0NAUMXKwsNLpu+ElL1/HZlsdi89TUv8w/A2mLv7EhrWqIxMNE0JNKpzHM7fuivqh+gsFBe4KKWilWgppVMBTFX6nPYwtGVtw6pFCSKCzNXM/Bpjnmy6erB1NP45cE3U18qUF7vXtyhw9bAxUaHQCokhDleNITTQ16Lp1hL8AbFf01pYfSxDkb65K5YSofInclNT4QOthE29UubkN/o2wht60+FHQ80DW5Jiw5AUq1y0o9bhZF4hc6yU6yk3BYGpq4MQPRPtr9/r6tSJqGIWKWu6QHlvUFNoEc/KvinARAXVsWtf7crya1lg2oMtsCO1JwL9pGuYDr93n9H7CX0a2t0PJnBZZ3tqT8wf2x7Lx3fBc10TrB9gBb5G80u9wz1DnCp+Poas7abwNVx8YWDemPaYIVB8HfA8LYiSCF06IeXVrkm9jDdITJR1f/NaWPVyCtrr/e3kw3TGppkCtIrHC1xSEw5KQSwSjqHDz8cLtcMCBT9rZZIn6Ad9aoJQXoh8SoNIjOwcZ/P5H2qts+f7eViWf1uIDgtEp3qRaB4TavdkXdtkEeLv440AXy80i3admoHO4N2BTZDSINIsStRYw6X7n9IgEp3rR4reK1epaahFhAMOzLeZLraligCt61QzMw0z5MEPFlk2vrMTe2IZj595hOzsQqpdfwuh2JVtKdIlj6JRTZ0dnkt6CehyQfHNsBx/jG5vMEemNBCvySfGF48mIX3aALbadzAtBZJunvqwP1a8lCKwN4Ojeog//hjdHt+Z5EXjm2c539CycsvTOxeNXa96EF7p1UDhnron3BWVquEypXao8OLSlCiJ+4nDxrMw3sK8RYx2zd5qOM27FN4mT5O3F8HfL3RCZl4RaoUGYPnhG+hYLwJVA3zQ5qMNgm3snNQT+9KzJTmCM4y5VaAL0/WRoXVa8VIXs+z+DOfSISEcuy7cEfzsi0eYCVFJ+GMWZ56/kn1PbHcAwL50ncB1/tZdvNyrAb7aeNbo8zAWQSqK0AJNyqKtU31jE+HOST2RduYW3lx81Gg75yNpDU+swCCVOuFVcOByjrO7YRWP18nc5UUMJkQGYdaIZIQG+qJBzRCEBPjiifZ1EB8ZhIhgf7SNqyb4cESFBor6WzAsw4VWy4kcbBYdiggrOXAYjuX5bvXMtnVICMeUQU1k+ewxrMPXpOfpcwBezS60fAxPPvD2Iniwtc65/u37GyM+Mgj/9ygTisUQ0maJRZpz+cr8vL3Mav5FhQbisbbmJWikmns/GmJbwApDO3i8houftXnTG90t7vvX87rsw3GpKxEt4ovEkIePfvbgkgxKidRhaI96Agl+/3y2o8CeDLlw5ZM4nzfumWkcVVWSqwMAhAf74XpuZa6iGY+2xAy9kDVWgaAId6REb64V8uHizLo+XgRlPIftZ7sm4PO1p9GoVojktFpC2rK6EVVw6Xal1tJyiTLXcBh3BFqvY+zxAleNkAC82L0ehgmsPMRY9FxHxEcy9a4ScKt1zudRKP/Q2le7muVZYWiDNa+mYMOJm4hlASPqoX8k+MV6549pj8ZRVbH+hLTSZMl1w3HsWh5S+3tWkkwlEBp5OLOuaWZ/X28vzB/bHo1rVTUKUpz1dLJo+0JD2+IXOiFZxIWFIY6lwNB1r3WVVXFBDTzepAjoUkPIqV/VLj4c1UOYSUsJuDQPXJTiSz3NHXob1QpBfab50iSJtapivP6ejekSj6oBujUcVw6FYT+No3Sardd6V6ZE6VQ/EtVklMbiTIj3NWF5nOQipIGqMBGC+XSqp7s3fOtJPM//6skOdRAbXmkhMTU9ArBaNkjXL/E+eBpSfOoa1nT+POLxGi6Gc3mgVQweaKVL12BZbc7QOpMHNsHkgU2c3Q23o1qQn+izEV1NN3E/3s5y9v8WMWHs+ZJJeJAf7twtETQNSsnlx9fK81PRfDS0OSiliJ+0CgBAbFR7cNoaJm+5DkzgYjAYDBelU70IfPJgc7cuJO0sOIFGyM3BVNzaMKGrxbZMTe58jYw10a1DgnAUo6X+MbQJMykyGAyGi0IIwePt6iDIn62dlYZTSlUIFBI3FXHqRtju02vNHCZ0fgAY3FInZDerzcz3rgITuBgMBoPBMKFaFZ2PHOWJV2LBUvY4Y4sd+e84Xcb0AJG0Kn2b1kL6tAGIYwFchtQzvhqvIsKWRQwGg8FgmPDryLZYdfSGUSZ4MeHIntg3MVktKSYUE/s1wiNtLPvnMYBJ/RNRI8Qf9wtUKNESTOBiMBgMBsOE2mGBGJMiLUeZPdkGhKIUdW0SvNi9vu0NexAhAb54lRfFq1W0rX9jMBgMBkMjiOUDtKc+Kyvt6jkwDReDwWAwGBL4+elkzNt9CQl6v6kVL3XBhpPSks8yGEzgYjAYDAZDAnGRQXh7QGWuuWbRoWgWbV+UINNweQ7MpMhgMBgMhpMQ8+FiuB9Mw8VgMBgMhgq8N6gJ8ovKLO7DNFyeAxO4GAwGg8FQgVGd463uw+Qtz4GZFBkMBoPBcBL2RDgyXAsmcDEYDAaD4SSYuOU5qCZwEUJeJ4RQQkik/j0hhHxNCDlHCDlCCGmt1rkZDAaDwWAwtIQqAhchJBbAfQAu8zb3B9BA//csgB/UODeDwWAwGK6Cl0gyVYb7oZaG6/8ATIRxUfUhAH6nOnYBCCOEaLvwEYPBYDAYDIYCKC5wEUKGALhGKT1s8lE0gCu891f12xgMBoPBYDDcGpvSQhBCNgCoJfDR2wDegs6caBOEkGehMzmiTp06tjbDYDAYDIZmWfxCR2d3geFgbBK4KKW9hbYTQpoDiAdwWB/qGgPgACGkHYBrAGJ5u8fot5m2PRPATABITk6mpp8zGAwGg+HqtKkb7uwuMByMoiZFSulRSmkNSmkcpTQOOrNha0ppBoBlAJ7WRyt2AJBLKb2h5PkZDAaDwWAwtIgjM82vAnA/gHMA7gEY5cBzMxgMBoPBYDgNVQUuvZaLe00BjFPzfAwGg8FgMBhahOjkIG1CCLkF4JIDThUJIMsB52FIh90T7cHuiTZh90WbsPuiPRxxT+pSSqsLfaBpgctREEL2UUqTnd0PRiXsnmgPdk+0Cbsv2oTdF+3h7HvCaikyGAwGg8FgqAwTuBgMBoPBYDBUhglcOmY6uwMMM9g90R7snmgTdl+0CXJCLmgAACAASURBVLsv2sOp94T5cDEYDAaDwWCoDNNwMRgMBoPBYKgME7gYDAaDwWAwVMYtBS5CSCwhZDMh5AQh5Dgh5BX99nBCyHpCyFn9/2r67YmEkJ2EkGJCyBsmbfUjhJwmhJwjhKQ64/u4Awrfk18JIZmEkGPO+C7uhFL3RawdhnwUvCcBhJA9hJDD+nbed9Z3cgeUHMP0n3sTQg4SQlY4+ru4CwrPK+mEkKOEkEOEkH2q9NcdfbgIIVEAoiilBwghIQD2AxgKYCSAO5TSaXrhqRql9E1CSA0AdfX7ZFNKp+vb8QZwBkAf6OpC7gXwOKX0hMO/lIuj1D3Rt9UVQAGA3ymlzRz9XdwJBZ8VwXbYsyIfBe8JARBEKS0ghPgC2AbgFUrpLid8LZdHyTFM394EAMkAqlJKBzryu7gLCs8r6QCSKaWqJUZ1Sw0XpfQGpfSA/nU+gJMAogEMATBHv9sc6C46KKWZlNK9AEpNmmoH4Byl9AKltATAn/o2GDJR8J6AUpoG4I4j+u3uKHVfLLTDkImC94RSSgv0b331f+63wnYQSo5hhJAYAAMAzHJA190WJe+JI3BLgYsPISQOQCsAuwHUpJTe0H+UAaCmlcOjAVzhvb8KNonYjZ33hKESSt0Xk3YYdmDvPdGbrQ4ByASwnlLK7okCKPCsfAlgIoAKNfrniShwTyiAdYSQ/YSQZ9Xoo1sLXISQYACLAbxKKc3jf6Yvps1Wew6G3RNtotR9sdQOQx5K3BNKaTmltCWAGADtCCHMBG8n9t4XQshAAJmU0v3q9dKzUGj86kIpbQ2gP4BxetcVRXFbgUvvs7AYwDxK6T/6zTf1Nl/O9ptppZlrAGJ572P02xg2oNA9YSiMUvdFpB2GDSj9rFBKcwBsBtBP6b56Egrdl84ABut9hv4E0JMQMlelLrs9Sj0rlNJr+v+ZAJZA51KkKG4pcOmdRX8BcJJSOoP30TIAI/SvRwBYaqWpvQAaEELiCSF+AIbp22DIRMF7wlAQpe6LhXYYMlHwnlQnhITpXwdCF/xzSvkeewZK3RdK6SRKaQylNA66OWUTpfRJFbrs9ij4rATpne5BCAkCcB8A5aPgKaVu9wegC3QqxCMADun/7gcQAWAjgLMANgAI1+9fCzr/rDwAOfrXVfWf3Q9dpOJ5AG87+7u56p/C92QBgBvQOT5eBTDa2d/PVf+Uui9i7Tj7+7nin4L3pAWAg/p2jgF419nfzZX/lBzDeG12B7DC2d/NVf8UfFYSABzW/x1Xa653y7QQDAaDwWAwGFrCLU2KDAaDwWAwGFqCCVwMBoPBYDAYKsMELgaDwWAwGAyVYQIXg8FgMBgMhsowgYvBYDAYDAZDZZjAxWAwGAwGg6EyPs7ugCUiIyNpXFycs7vBYDAYDAaDYZX9+/dnUUqrC32maYErLi4O+/btc3Y3GAwGg8FgMKxCCLkk9hkzKTIYDAaDwWCoDBO4GAwGg8FgMFSGCVwMBoPBYHgYGblFuF1Q7OxueBSqCVyEEG9CyEFCyAr9+3hCyG5CyDlCyEJCiJ9a52YwGAwGgyFOh082os1HG5zdDY9CTQ3XKwBO8t5/CuD/KKX1AWQDGK3iuT2Sfel38OD328EKkjMYDAaDoS1UEbgIITEABgCYpX9PAPQE8Ld+lzkAhqpxbk/m4R934sDlHGw5fcvZXWEwGAwGg8FDLQ3XlwAmAqjQv48AkEMpLdO/vwogWqVzezzFZeXO7gKDwWAwGAweigtchJCBADIppfttPP5ZQsg+Qsi+W7eYpobBYDAYDIbro4aGqzOAwYSQdAB/QmdK/ApAGCGES7QaA+Ca0MGU0pmU0mRKaXL16oLJWhkMBoPBYDBcCsUFLkrpJEppDKU0DsAwAJsopcMBbAbwsH63EQCWKn1uBoPBMOVeSRl2nM9ydjcYdpBVUIxDV3Kc3Q2PIq+oFLsv3Da833Y2C0WlzF3FHhyZh+tNABMIIeeg8+n6xYHndnv2XLzj7C4wGJrkf38dwRM/78a1nEJnd4VhI4O+2Yah3213djc8ihfnHsBjM3chr6gUpzLy8OQvu/H+8hPO7pZLo6rARSndQikdqH99gVLajlJan1L6CKWUZVxTkIOXsw2v15246cSeMBja4vTNfADA3eIyK3sytMi2s1m4kVtkeF9UWo73lx9HAbufNiMlddCJG3kAgJKyCuTcKwUAnM8swO4LtzF3l2i5QIYFWKZ5N+GT1acMr/85IOgex2B4JF5E95+lp3NNnvxlt9H7ubsu4bft6fhu8zkn9cj1kaLtJSLbH5u5C5P/PaZshzwEJnB5AOlZdxGXuhLHr+c6uytuxe4LtxGXuhIJk1biqw1nnd0dhghnbhYAACqYxOU0mk9Zi1lbLxhtW3PsBuJSVxo0VXGpKxGXuhIn9ZoVMcorqNF/hnyEHoVun2/GZ2tOCe7LCV970itdV77fcg5xqSux9BBb4EuFCVwapbyC4mLWXdzKF7e85t4rRV5RqcV27pWUYcKiQwCY5ktp5uxMBwBUUOD/NpzBzbwiUEqx/1I2Sst1KejKyiuQkVuEjNwiwzY+WQXFKCxhjqhqcLe4DHfulhjec5NMcVk51h3PMHMALiguQzZvf0tcyylkFR1kkF9Uho9WnjTa9qV+kXLp9l2j7T+bCGamlJTpnqPi0nJcuXMPxWXlOHkjD7mFlsdCho7cwlLcEqiheOn2PXy/5bzhPdFLWUWl5SDEXN/12ZrTAIBX/jwkei6xcc9T8bG+C8MZfLnhDL7ZpFOZp08bILhP0gfrLH4OAE3eXWt4zVb4ykJMlO7tP96IyQMa46OVJ5FYKwRrXu2KD1acwO87df4OD7eJwfRHkoyOSf5oA5JiQrF0fBeH9dtT6D59i9GChUL3+280eY1hG//Z6fjJRuQXlVl8ngDgXGYBes/4DxP7NcKL3esr3GvPgZvETYelfw5cw4xHW4oe98X6MwCAOTsvYc7OS+jXtBbWHM8AYHksZOhIen+dpP2yCnSLj5TPNuOv5zvKPk9BcRk6fLIRj7eLxScPtpB9vDvCNFwaxdoqTwpr9YMQh+nAtvlUptnqsnJfikV7rzDtiwUEFn1YsOcyAOBUhs5RmxO2AGDDSeFghsNXc7H9XBa6f74ZF7OE7wdDHgcuZ1vUDvO5W1yGv/ZdQX6RuRP2sWu52JduHAF8KkNn8tp5/rbZ/p5OeQXFgj2XUSai1Titfy6ASjMVpcCf+ufGlP2XjK99Bs95nmONyTjHkMf2c1lWzbh/7bti8fOnftmN7eeysGDPZYMGkgtSWbDnCq7cuYeNIuOfJ8E0XBqlqNR+Nexzfxgn+zfVcI2avRdBft44/kE/s2O3ncvCxMVHcORaDj4a2tzuvrgjQmr287dsE5iGz9I5BveYvoWt0hXgwe93SN53yrLj+Gv/VcHPBn6zDYCx5uR/fx0BUClUMyr5Y2c6piw/gcKScjzTJd7s875fphmuJff4rD52w8iUxeehH3aavJd+XxnS4MYeSyzaJ/x8cGw9m4WtZ3W57m7kFGLCfY2MPu/3ZRrulpR7/NjGNFwuSFFpOUbP3mt4P2PdabN9hPxLNujTRaw4ch1xqSsBAHdFNFi7L+hWlnN3Ca88PZ0ftpzH8sPXLe7zvInAy2kLi0rLMeibbegxfYta3XNrmr+3FoP0ghCfbWezEJe6Ev+dES4JJmZRFxO2xCjU+35J1aB5Ejl6P6ocCf5Ux6/rtCpivlcfrzppto3lUnMM9vgnfr1J50w/ek7lHCU2z3gaTMPlgqSduYWNpzIN77/eZB4eLfS8XNer48fPP2j1HN+ykGuLfCoQzWOKqamjWK9q33E+C0evsYhRW8kvLhO8flz6gBG/7nF0lxh6uHFHLKWAHGam2e9WwbANJdx9j12zbKb0RJiGSwNw4dB3JEZISXkW9l3KFtzOabb49Jy+xdCHC7cKJPWBYRtxqSuxYI9lfwjuXnyz8SzWHc9AXOpKUV87T0bot2yJVUdvSGoj914psu+WGH0Wl7oS09eaa5IZxnBjE9/abk1bMm+3uRZd7r0VYv+lO4hLXYnDrCSQgR3nrJe4em/pMUlzDEM+TODSEFfu3BPcfvRqLm4XFKO0vAKHr+RIGkCWHJSeAuICz1Gb1SsT5s7dEly4VYCSsgocuWrfNVovsRLAF+vPGFJPzN6RjgqWd0iQ6zmFuC7B1CTmJ2TK2uMZ2CHgEM+0vpbJKijGcb3m8ZgVDS4XeKA0R67mGJy2N+mtAGkiJmZPgktXIyXAYM7OS3aPcQxhmElRQwhFvQHAoG+3IdjfBw+3icHsHemS2logEvXDsI3un29GXlEZnupQF384sKzF9nO6if+37emIDgvEmJQEh51bi2w5nWm2rdO0TZKP3yxwvCkTFx+R1SeGjk6fbEKJPjpxw8lMXM8pRO2wQMFSY/2+3KpKHwZ/ux0jO8VhyuCm8OLSTqhyJtdizbEMvDDvAAJ8pelYHpARdMKQDtNwuQgFxWU47IBVx9XsQsxMk6YJ8CTy9CkDnBmC/qWHZbMvLa/A/60/Y5Sa5Eq2fU7TV+08/uxN48hElu28khKTVBD5RWVYf+KmWbS02szekY7ce6UGjaS7px/ccS7LEBAlxoaTuoWGEtHv9rDplGenhmAClwvhCJPSjPVn8PEq6w7hnoozI9M8rVjvwr1X8NXGs/hmU6WgqYQztj30/TLN6L1U87CnMvb3fWbbMvPNc2kpzXvLjhkELermOq4nZu3GGIHrzGfxAXmRuGrxzGzL/XR3mMDlQpSx1bRqDPpmGxbuFTbDrtNQYkVPKl/CRXUWloqHlIvdM7UwfQTLKio1BlOWHUdc6krB5JzuzK/bLuLRn3aabTcVTjkcoXH691BlyhZ313C5Gu8tPYZeX2zxyNJYTODSEDdyi1BWXmFW443jbCaLIFSLo9dy8ebio4Kfvf3vMQf3Rhx+wERWQTHulbi/1os/Lpv6OYrdMzGk1kqUSn5RGQpLylFcVm7wr1xkJSu3u/HBihPYc/GO9R2dRKm+nqmnkV9Uipx7yv7elWDOzks4f+su8j1MYw8wp3lN8dwf+xEfGSRa3oWLvmF4Lpwj8NGruRj0rXkWdIZlZujr8CnFpH+OYtI/R1E7NMDoHHUjqmBIy2hFz+UuONos/P2W8/h+y3n89XxHtI0Ld/DZnUfzKdZr7TqTFlPWabZvasE0XBqD1dLTBpRSrDp6A4eu5Ggqozin4dnGy6eTX+R+ZsZrOYUGB1stXX8xrptoUCZrSCuqNYqdtHD0lHxcm07dNDK1m9YC1RJ3PUzLxQQuBkOA1ccy8OK8Axj63XZnd8UITuDiZ7p/beFhJ/VGPTpP22RIibGSl7CUON1tXhr5RWXYfYEVtxbiwxUnnHJeodqn7kZGbhGemb3PyNT+8I/m/nVawdNSsDCBiyELSik+WX0SZ266R+HezLwiDPnWvC5fVoE2tSpnbxaYZeE+l+ke98ISrph+4bGZu0TrOroq3PN/2o7C3UJ5uRjyOJ2Rj09WnzRzPLcUYKJFVh654VFJVpnAxZBFVkEJfvrvgqQK867A2/8ew+Gr5lmxtRpA896y42bb0m8LVyhwJw5eFi5VpXXcra5j9r1S/PTfBTzx8y5nd8WjeeLnXfjpvwvIvuf67gSDv9WWFUFNmMDFsIpQXTNX8KuRgpjmpEKrEpcFfk67gLjUlS5ZAujCLZ3mbr9IDVDuK7miVcj0+flwxQk0e2+tk3qjDNzzoUTNQ0fx4YoT2KU383b/fDNe+fOgk3tkO9z1b/3hesO2uNSV+GOn46pgKImUChDuABO4nEhuYSlu5jkmXPnNfol2Hc+prs/zilu7cx4VV/xqnF9XuQt2nqt3t/SQcA3QO3dLcOxarlsECPyy7aLHJbHVCrO3p6O8giL99j0s5eXqciXuFpeJarZ+3X7Rwb1Rhi9Noofzi0qxXUKhbVeDpYVwIt0/3+wwlXDrOmF2HV9BgcNXsjFsZqUpYcGeK3iifR17u+ZUTIXGy7fvoU5EFZfLTb3ySKVjuQvKW1Z5fq5jy8MozY7zWehUL9LZ3fB41hzPwPR1p53dDbt46Af3q3No6tbBpbRY8mIntKpTzRldUgWm4XIijhK2Jg9ojPYJEXa1UUEprtwx9hU6es3c98kVoJRi7q5Lglnb5+2+ZNjHlTidkWcwt126fddIAHMltp3Nwm2NBizYg7vUwSwu0zlla8FqbavW/octlbVilx12LS3XoSs5OGVHwIIrwB97L99xL/9UJnB5AF4KOL5UUApvL+N2il0sIobj8NVcTP73GN78+wjuFht/h5/SLjipV3bCu8d9/i8N4+YfcGJnbOdC1l28OM+5fX+uW4LibWo5E7scvt6oKwithRJTTWpXtbuNlxe4lh+X1tLUAED1EH9F23O3yF4+TOByALmFpRj63XanJTU1FZRsITOvGOPnGw9O/xy8hllbXU9A4UonrTmegT0CSQHjUlfio5UnHd0tAICft22P5Ncb3UODAgC3nKzhqlc9WJV207Pu4pdtlT42X7igaStPA4KW0rhCypH5uy/j7SXyylipyeQBjQ2vFz/fSZE2X15wEHGpKzHyt72Gbe6WO00VgYsQEksI2UwIOUEIOU4IeUW/PZwQsp4Qclb/332MsxbYcOImDl3JwZcbzjjUVJUUq/PbGtYuFgDQv1ktm9vaKZLEUUgwoZRqehDTgrUw2L/SfbJ9fDiq+HkDACYPbCx2iFVKyzXwxWyEP7A6+7fjrdIg//Wms0ZJP7/ZdE6V89hKeQW1Pj7xLo2zze5KnT8zX/t1Ft9achTzdju2UDsfUx/gHok1DK+9FJIihMy7zv6NKY1aGq4yAK9TSpsA6ABgHCGkCYBUABsppQ0AbNS/9xiWHrru0EF26bjOSJ82AP4+usn8hyfbGH0+vkd9yW1dlWFL//G/C6j31irkaTSibO5u54dO921aCxP6NAQAvNKrAR5uEwMAiI8Mcma3NMElJ+UVqxNeBQCw+MBVVdovLtVuLdTce6Wo99Yq/CxDY71epQSmibVCJO2n1FTc8ZNNSGcl1SwyoEVtw+u4iCrw0VtNYsMD4aOUxOUBqHKlKKU3KKUH9K/zAZwEEA1gCIA5+t3mABiqxvm1zII9l1FRQVUPee1S33JE1MNtYvBq7waS27PkvMhfhexNv4M5O9IBALcLtFepHoBDHcpXvtzF8LphzWC83LM+3ro/EVMfaIZxPepj/pj26FQ/Em8PaIyFz3ZA4yj7/VI41hzLQGm5did5LfDryGTD66XjOmPFS12w43ylNnfj690UO5dWFyAAcFOv5Vm0z1jYTM+6axYsw6GWwPXvuM7489kOhvebXu+G7ak9sfft3qqcDwBeW3TIMI6VllcY8nUxgMUvdMQzneMwuks8AKBWaIDBL7iiAgjUa+fVgO9jezojH/+otBhyFKqLpoSQOACtAOwGUJNSys12GQBqCuz/LCFkHyFk361b7uc8dyO3CPN2X1I8U/ugJN0KhBO0xve0rL16vls9+MjwF7qSXSj62T8HdLmTrty5h0d+3IkMfW4x97K+20ZirUoBKiTAFxPua4Rnu9ZDgK83vL0IOunvl7+PN9onRBiZGu3l+bn78enqU9Z39FDeG9QEPRNrIjzID7VDA1AtyA/NokPRIibUsI+S/lxbz2o3rxD3rJqacLpP34KUzzYLHqOE5ZfvCwQA9zevhQBfb3TgRVUnVA9GdFggqof4452BTQzb6yt4bw5ezsFcvcnuk1WnMGzmLhxz0ShspWlTNxyEEIxN0QWTDG0ZjfAgPwDAsLaxNvudSuEtnt9a3y/TMGHRYWw967pygap5uAghwQAWA3iVUprH99OglFJCiNkjSymdCWAmACQnJ7uFAdf0S6hRiuXrYS3x1WMtQQhQVkHha+UhqF9D3mB14nqe6GdXsnXfh58UVUv8vf8qYqoFGg3iatKwZjDO3NRdC37AghR/hABfZVeLZzO1eU+cwbmp/UEIQQWl8CIE3K3ZZ6I56d8sCkeu5uLZrspHK2oVTvsm5j+35OBV1KwaYLRt+RH7UyqM7hKPUZ3jQSAcCS20//D2deDr7aVIMBCfd/49hnqRQTiVoRvrtBCJqSVqhQbg/Mf3w4vofC6510K/mZGd4jBbb+mwl+lrTxvcLwBdgW5LBAdXzm337t2Dv78/vL114+pPP/2Es2fPYurUqfD3r4yu9PHxQU6OrqYjIQTVq1fH9evX4eOjE5FKS0sRHR2NW7duGcbx7t27Y9euXfDx8UFAQAC6du2K7777zmLfVBNNCSG+0Alb8yil/+g33ySEROk/jwLgGfn8HQAhBF5eBIQQq8KWJWLDAwW3WyqKyskRqYu1E0XD542/DhslbFWb6DDja8hprV6/r5Gk478a1hIA0LepmQKYYQc++kmam6y5BaCXl+7Z4XgkOQYtY8MwqnMcAGBcj3pmbQltc2Wm6TWhYovB1xYexhM/7zZaPZaU2W+uJoTAW3/9fby9jIInXuvdEK/1bmh2DKcdBnTPSu/GNcz2sZUnZu1GmV6AUCKdjrvBf264195eBL0b18TAFlGG/Xy9lbt2324+h90y0qoUFBQY/urUqYPly5cb3g8fPhwA8NhjjxntxwlbHNWqVcPq1asN71evXo1q1cxj/L799lsUFBTgzJkzyMnJwWuvvWaxb2pFKRIAvwA4SSmdwftoGYAR+tcjACxV4/xax54oLKVXdaaT+taJPWW3MWdnOgCgqMxYKBNKueAJcPfo2ydaAQASqusc4RtI1CoOaRmN9GkDEFOtit19cZWcNmo5qttCZLA//h3XGVGhOsG5TV3zgbZtXLiju6UqUoWnlUeV83/k3CDEeKV3A7xixc90SMtozBrRFunTBijWLy5n2uOsQLckCCGYNSIZ3z7R2rCtaoCvoufYdKrSX9ARZq+nnnoKv//+u+H977//jqefflp0//DwcDz00EM4duyYxXbV0nB1BvAUgJ6EkEP6v/sBTAPQhxByFkBv/XuPo7jM9oShMx5Nwpgu8YaoNnv57KEkw+sFYztY2FOcHH3G/CITLdhMjSURVbp+3W8j25pt++KRJBSbTF6zRiTj84dboIaJScZRnMrI03x49ZGr2vWXcbdcQKaUV1BkOSHAReG1I4a2tCzA2YLWnxulaRxVFe8PborkutXw01NtMPOpNtYPEmBs1wS8fb/tKW5M+XmrY2tEDh06FGlpacjJyUF2dja2bt2KIUOGiO6flZWFxYsXo1WrVhbbVStKcRullFBKW1BKW+r/VlFKb1NKe1FKG1BKe1NKPUIFYvrQ2vMMhwb6YvLAJpj+SJIiq7rQKr5opc+x0rGefT5ORRoMe7+aXWkiafbeWkXb5uei8ffRPUoPtYlBj0a67ZxpsUZIAB5JjpXdflMFMmkDQL8vtzo1h4+rE1tNdx+jQisFZk775Q5MW30S13LEg2LUonl0qPWdZFAnQvmUKhpOJ6gK7w1qghGd4vD3C53Qt2kt3NdUXu7Gnvox0d/HS/EM9AYUuCeLFi1CWFiY4a9Hjx5GnwcEBGDQoEFYuHAhFi5ciMGDByMgwHzB/PLLLyMsLAxJSUmIiorCjBkzzPbhw4pXq8y/B6+Z1VGzR+AyPXTv270NOVFsZd6Y9kZ1HX9/ph2e/nWP2X6RwX6iK+F1xzPs6oNabHNQZNiet3qjuFyn4RvVOQ5dG1aXHZhgygOtotEiJhTB/r64fbcYA77eZnNbk/89hj/3Xka1Kn4oLq3AF48m4eCVHAy2YtZhAPVrhGDT692w88JtvL1EZzJoJDFXlDVeX3QY0x9p4TQt2tXse2bagxu5hTidkY/ujZTzjeLYP7k32ny0AQAUL3zPv4JNa1fFcQuBPlL58b/z8PfxwuCk2riRWwRfby9FSgpphSEta2PpocrgB3sDi74f3hq38otBCDFUG+vRqDo2n1bOteHvA1fxQOtou3yVH330UcydO9fiPk8//TQmTZoESik+/fRTwX2+/vprjBkzRvJ5mcClIieu5+HVhYfMtlN7RHSTQ+WuIuIiqhgy0HNU8fNBFb/Kn4Lp5xyNaoUg65xwfppn/9gvqx+OIvUfdR35n2hfB+uOZyC0ii8And8CIcRuYauyHd3EXivUfnPksWuVExAX6l8nvApaitxvV6dbw+oGHzZ7Q9cTqgerUg9x8YGreCQ5xmERtKb0mZFmtm3QN9uQVVCiqF8UR1gVP8NromLimLEpCYJjr1w+X6srvzR31yVDQIEa18VZBPhURkW3j7ffLzHA1xux+gTCyXo/xzEpCYoKXHsu3sGPW87jpV7S80jaQkpKCm7cuAFCCLp06YLz589bP8gKLEWsiizad0VkuzwHYf4DbpewBmDL/3rgq2GW7cyhgb5InzYAh9+9z2h7jRB5k74WPV82n1YmMJZLGfDxA82xb3IfRdp0BvcU9muzhQqV7Dad6+uEmLEp8Tgztb/d7amlhJq3+7JRjUVHIhR9rLQ/17/jOgMAkmJC4e1FDOZ3pa8nvz2l2zaN3pyy7Dj2X3IPjxgus//7Q5oq2m50WCDSpw1AZytJuG3hn4O63I/fbjqLtSpZVwghWL58OZYtW6aYBpoJXCqiRB6Sx/S+P9Mf0Tm3pzSobnebUgkOMFaAKp0jyhmM4hVGtQctCpM2oYEvciVb+bx0D7aOVrxNtTQyyw9fN6qx6Cko7Y/O3R9O0FaT2TvS8dAPO1U/j9q82T8RPz7ZBs90jkfDGsqYyYX4ZUQyAnyVEzcu6ksxTV93Bs/ZYF1ZuHAhgoODjf4yM80X402bNkXTpsoJosykaCPNp6xFx4QIzHw62eyzwpJyNH53jSLn+fThFgB0pXiUikyUimkKCrlWGZZ0U/uoadaxRG5hKZLeX4dPH2puiHJVkubRoYayRkpN7Fx2bbXIvVeqN027J9xtQAMYWgAAIABJREFUSKwVgsNXcxXXQtWsqnOv6Gfi6B0dFqhoUICjIxcHfrNVtbbDg/wQHuSHdwc1sb6zHfRqXBP/65uo6MJi1G/mfsampKenm22bMmUKpkyZInqM2P2tX7++0Wdbtmyxen5TmMBlI/lFZVgnUkssq6DYwb1RHz9vL3jbOEIWFJdh06lMIwftkzfyUL9GsF2Oj9Y4czNftbbdBWdlPLimLxX12/Z0lKhQ75FS5YXJXo1rYEyXeIzoFKdouxzpt+8iqYp2/OnEaijKxfQuzB7VDsev5ymuMX80ORZVA33Rr2ktRbLgi3Hihv3O+HLg+166MiM7xSEqNAAvzjtg2Na6ThgOXM6xcJQ4SvqFOQpmUmRYhHM2HtU5zigbtxyavbcWLy84iFX6pIkXs+6i/1dbDdmt1SC3sBT3/Z+5Q7BStE9wfOJLNTScGrAoKpLRO6aaeZqGlvp0J+0VckgnhGDywCYGp2AOPx9lhtHp604r0o5SiNVQlAuXTqOvXvNULcgPXRoo79fj5UVwf/MoeHkRoyjSgUlRFo6Sjz3RwlpgQAtlr4dUvPX3h0/LWPOkwu4ME7gYFtn7dm/sn9wbb/ZLtFnDxXFBX2vxtl4DePBytuGzpYeuGWqY2crf+68a6jlaq7dlLz0THV92Z3SXeMXb/H7LeRy6kmMQhh3NqYx8nFPA9LzouY5m29rGhePwe/ehTxN179Wy8Z0VaeeomxZLrlE1AEem3IcXuzuuHFJirao4/N59ODLlPrzZN9Fh51WKi1l3RYOu7OWrx1qq0q4t+ChUAui6E/LI2QITuBgWCa3ii4hgf3h5EcXKCgnJba/8eQj9vrTPV+GNvw4btFrv/Gu5xIIrEh8ZZFan0V7+O3MLQ7/bbqTmdwT2KrVM026Ypkfp31ynTQkNVM8n6t2BTdAhIdwsD97HDzS3qT17FzRapmqAr8NzjYUG+qJqgK/NmnlnMvibbZj49xFV2vbx9sLw9nUUz4NmC4+3U6YPT/6yW5F21IYJXDaw41xlMk0lQ1KdpeqVCj9Xl1T4NbDEuG2jz9u83Zcw0sRxsryC4slZu5FXpKwj9hePJFnfSWUCfL2xPVV+rUstYu/cu2FCN5z5qDLVA98XMH3aAIdkgn+mSzz+fLYjfLyMh1FbJzJCCH7fmY4xc/Yp0DvHw68VqnTNV63ywlzhCLmRv+3Bgj22V3fI16druapCBC8ATH2guc0LAyWJj1SmOoClwJtHftyBGevPoMunm5zuX80ELhuYzNOevPLnQcPrkrIKlJRV2BwVxfdl+fnpZMwf297mPqrBc90SZB/zxl+VqzTTGoPcZRILPrDG20uOYYuA4+S2c1nKh5xrdP6wVgDYFopKy+0qsG6NvKJSlJbZ377pnP738x3xw/DWwjurSN2ISp+urx+3nOPOEsWl5Xh36XFsOGnb8yCXMoWDFfh3dPojLRRtW6usPia84N5y+hYmCSRdLq+ghpqzRaXlVnPQzVEgtZDWWDa+MwYl1TbMbyMVCEIptjBm7U3Pxtcbz+JqdiHW2zjXKAUTuGyBN9DzJ/bWH65H0vvr8PvOdJua9eXZs/s0qYlO9ZR3LLUHe6OKvtl0Tv9KfenF3gSxpmhV4OqVaFx+RYnUBYnvrMH//jpsdztC3CspQ4sp6zDoW3mOxw+2Ms+rZWqiSo4LR//mjtcS8/thT6mkfAcnoR387XZF26viVzk+NKqpK38T6Aa5+5Tk9UWHkPjOGtwtLkPiO2usBko4umizI2gRE4ZvHm9lmN+4Wr72cLekHM/9oX3NMBO4bEBs7i0oLkNhabnoqsca/voyC6M6x9nWMQ1y566yWas5rGV5vqGA0/zc0drSMAoxlCeIPJYciw0TuinSLpfJWUkuZt3FQRtDwPkmw3b6EiRaslptndgDu9/qpVh7R67adp3koHR6gwiesN+kdlVsfqM7tr3Zw8IRzqOGWoWVYTlP17/6uoX5RTrhevEB86ojJWX2ax6bRVdVRHPkCJSq57rhpHniUrWqWNgKE7hs4Pytu4bX3O08dMX+AZKbQBKq21+HTy24kjbNou0v4MqNS7bMm9ayPHMDmj00jw41vG6lofDlrg2Fqw3ERQapnpzTHnpM34Lhs2xzbuU7PocFVtasBIDnuzku+k2M2PAqqFnV/nqXHEprnxyB6dQWHxmEiGD1BBt7MA10UBK+i4QtEbjj59sfwNIkqiq68ErqCKVN0QpqBlPMt8OPTg2YwGWBv/ZdwUYr/hQlZRWYsuw4svIrnfFMfZWkwv3uHJ3JWA5v3d8Y6dMG4FF9ySG5fL3xLL7frDMtHrqSg3slZbKTFBaWGNd/O52Rj33pKtQ1440DcZFBmilaO6JjXcHtSptRlaCotBzvLj1mdxADf4Lkf8v0aQOQ2t/1wv6lsOSgvJqrzkbDw5YZanY1M69Su14gYiYe+p24QG2rTysfL0LAj+XY9qa2g22UGltNNVo3co3TRThbKc4yzVvgf/qwXGs/htk70g1lRADbMs0/2DoaL/dsgGvZhUZmIq1i6w93xvozRu9/3XYR28/dltWGqY/cwz/sUMX/hRBdxBm/VMi8Me2x/LB6WaylILYg1OKEN3/3Zfy+85KhYLGtPNs1AX/sugQAmDygsRJdU5UJfRpixvozCA30RW6hbcLmawsP44FWji3nZQ9TBjfFgUvZuKxQhnq1GJxUG6O7xGOIBaHHHsokmLEy9EKZWs/sK70b4NQN40ob/+vbSNMacCU4lZGPJrXtt76oBRO4JPD9lnN4sXt9i/vM222f6nJsSgJqVA3Ab6Pa2dWOqzF9nbEAJqWeXLnJKKVGaRhANxiahk53rh+JzvWdG8wQ7K+7Po+IZJ6PCPLDbZV85+Tyyzad06+9t4jLs+XtRVA3QplQcjV5uVcDvNyrAQAgLnWlze38nHYBY7vKjw52NNyiVKkwfzWxJ5JUiCHfbcfScbrktymfbcKVO/KTcN7KL0bbqRvwx2hlxv+o0ECzfozrYXkO8wSWHLyGYQrl/rIFZlKUwGdr1C+50ThKu1K5ICrZ3beeu2UIm2YI0zauGj5/uAWmDDauYs+Zom31iTiXWaCYOTvnXgly75UaigafzZRf1/LJDnUwoU9DLBvfWbNRolJIsaOMzdRVJxXsiW5Bk323RJHs/q7E+te6wovAKLBBqDqBLRzW+++WlleYCTkFPF/Sy7fFNX9cG0ombG4bpx2/U0fBjRPFZeVm5kQA2H1RBdcTGTANF8MmGtUMsb6TDYyffxApDSLxhxMiBMOq+CLnXilC/H0cHqIvB0IIHhHwoeNkJVv9gXvP+A+fPaRM/qSWH6w3er/1bJbInuLERQRhTIpOu8OZ7LXs3yhG3Ygq2HrW2b3QkfTBOsXbbBETan0nJ9OgZggufGLsGsJFuyrFlGXHzbY9+ctupE8bgB3nsvCEQMAIJyBw/9MtCGXWSGkQafScEULQPDrUbUtGCcFdx9cXHcaKIzcMQV5agWm4JHIjtxBP/LxLkZBdd6BdfDh+fjoZABASoKzcbm1yJiq5Pm57sycOvtNHlbYdASeK2KMNmrTEOFnj6Yx8bDmdiW82nsVfvNpuk/45irQz5kln1YL7Sq4nbqn3e7XGqqM3BFf5SlPhgkKw0izYc1kwCTOg8zEVErb4yC3g/nLP+pjQp6Hh/d63exvGYz6LnuuI/ZN7y2rbWXC1L/nIraxx524JZqw7jRVHdLVhZ6ZdUKx/SsA0XBLp+MkmAMAXVhLVeRKd6kUAAD5/uAWen+vYWnx8lBrug/19AH9g8sDGmPzvMQT5uUbSxkBfbxSWlhs0XDWrBuBmnm0lLEyzNff9Ms3ofbv4cPh4e2HBnstYsOeywyI3HV2HT0keTY41OPw7CkopXpx3ANFhgaqXg3qpZwNV23cFJv1zVLTO6b5L2dYbkPnz9vPxMqofyr3u3bimkYY70M8bgS4yjgnVPZVbO3b8/IOq5X5UAiZwyUTLN9PRBPn7aCJVgtJax8fa1sFjbZ1f2FUqY1Pi8fWmc4a0EEppHPcKpNooLa+ApSCsod9tVyQnHWAcwcVNIn7erqeUbx4TivRpA+xynpfLZ2t1C8PruYXYef423l5yFHEqObT35UXxejKcv6IccgtLkZlfhFG/7ZV1nJcXMavhCQCzRphruTwJrc/PTOASwRV9RTyF8gplBawFYzvgYtZd6ztqFb32h/vJfvFIS/y24yJ++s8+dfrY381LZVh7LJQStkwhhOB/fRuhV+Ma1nd2Y0rKKuAnIcXGD1vOA9CZqkb8ugcl5RW4oOBvvElUVZy4kYekWPvLsngyRaUV+G17uuzjRnWKh7cXwesqleBiqIPrLRcdRPykVYLb/9qvfDLCEH8m94px6EoO4lJXYg8vusQ0lYS9dKwXgSfau45Gy5QYvdo9KlSX6bzW/7N31vFNXe8f/5ykRh0qUChQSnGKFncbusGYso3BXJgbZcKECXM39t3Y9puyARtbGRs6ZLg7FChOi0ORWs7vj9ybnNxcS3Lj5/168SK9ubm5yc095zmPfJ6kGEwY7KhV9fno9i4f98xFZ/2oAe8uRp+3FjlsKzpxAVn5BZiz5ajL76GGVMh1XJ8cNK0VZNW8CrRxwVDJyi/ArI1HcPx8GZpPnKMpiMp60qos1CuyKWLCeVtucHmMO8HyalFmXYZ3MJOdFvgSI67CZ3oZ/nRR+dxdpt3TBZVVFuSkB24rH73UTIx2O29IjsNnLoFSiqW7rYmoi3aWIC7aHBQaTL7murxMpCVEo3cT+ZY/AHBF85pee3/RGP5jk+cG161d6uPvrccM/S0FGrd3a4DbumWhxxsLdb/m59UHkFm9GiotFN/8t9/vgqhiSl2oJMyP7ZqFr/8r8st7L1RItpdj7qM9EcM0BP8vv6/swiiY+eGuTliwvQT3C7phn49uj5hIM8Z8tcrPZ+Y5Pje4CCGDALwPwAzgf5TSyb4+BzUopXjgh/Vef59bu9Q3vCzZn9StHmvoJNltsrVI4cmBTQBY1ZuHfrAUnbON/c46hcA1IISgT1PlUFvDtDgQQjCyXR3MWGd8U+qnpls7MpxzU1Gd5dYu9REdYcIXS/YFpHK+EYzuUt+tvosmW+jY/1+MWHkZKgbXsFYZfjO4trvQRLyRRI6ndnI11HYxsTzQ6dowFV0b2rXrQilH0Kc+SUKIGcDHAAYDaA5gFCGkuS/PQYvTPlotvHBlC+2dgggzUxqzY9Igw447c73VQBB7ZK3Ya6xwXWhMF+qIc+Jb17Y2/NiD319ie2yEqGBOekJQVyTqoUFqnMtaacsKT+Ln1dZuFhsPncUXknL3hTtLkJVfgM//3WPUaepCRxeboCAvqwa2vjjQ9ncoLYY5gYOvg8AdARRSSvdSSssB/ARguI/PQZVXCoxVdmZpX9+u/GvyYrd6f8AaXKzL21NERWyvjeshMmGoIfZ288Zvjl2de1otOrxNbQDA6M710TAtDlcHQU9RV3jxqhYYIXxGV3WXAODHVXYdtFdmb0fJeXuTZLHK7bW/dnh4lvq4p1c2ctLjcVePwBKWdJVxfRrinl7WzxAXHYFPbm6HobkZeKRf4EldpIR4H8RwwNchxToADjJ/HwLge0lxFc5d9p6Ha/p9XX1aGu5L3JlAXGHbEf1udy2G5NbC3T0bYsTHy5Aoo/0SahgtTOst3r/R2uOubo1YzH+8t39PxguM6ZqFMV2zABjTGYtS4K2/d9q8wL6gdWYSfn+gOwBg3mO9fPa+3uLJgU0d/h6Sm4EhuRk4WRp4OYTjBzXV3okT0ARcmQMh5G5CyBpCyJrjx32nZC1ywcstXeY91tPw5qmBgLejQMv3njTsWJRaJ47nr2yON681ppVNICI2En55REs/nwlHChs2fXJgE5vny6VjAPhoYaFb+k/uEgYOYQBASny09k4+JlTy5dzl3RuMT4nwNb42uA4DYJvAZQrbbFBKp1BK8yileWlpylVX3uK/PcZN7HLkpCfgqtauD66BTm6dwO+nJtKmbjIIIbitWwNUD2E3vVgQUKd6aCXVhgr9m1krR+/s0QDv3ej6IsxX0+/b19knOjYtItSZOCyg0otDJl/OXfxdmWsEvo41rAbQiBDSAFZD60YAN/n4HHyC2URsbVLGds3CHd0b+PmMvMstnevjk0V7EGkO7Ny0j25qi6G5Gf4+DZ/w0vCWuLNHA6Qn2CviVj7dD51ene/Hs5KH7QsXLnx0U1scPnMJ0RHu5Tz6oq/rD3d2QtecVDTLSESEmdi8phzfE+4erlDApx4uSmklgAcA/A1gO4BplFLnFut+Yv0BHT2vdDJhsD3eHh8dgbo1Yg07diBSQ/AUBdqqUMqwVrVDvgpOJCrChJx0xzJyd+QIfEEolX7rJSbSjIZp7mvw+aKva9cca3l+89qJaFwzAZFB2FrJXXo0StXeyYd0zk7x9yn4HVHcOVjx+d1DKZ1NKW1MKW1IKX3F1++vxlYDE7Pv7JGNx4VVu1QxOxSJiTSjaPJQjO6S5e9TcWDts/0Dot8jR5miyUPRpFaC9o4cB5YWnvDKcfn9YqVRzQQUTR4aEN9Hk5oJISGQ7SnLJ/TDK1cHb05q+CxXFKhk2l48+9sWQ489tlsWRrarg7t7NjT0uMHAnEd6AAAeENSC/YVo6k4c1tyt9jahyKc3t/P3KXAM4ESp9xr1vjS8BT7hvxO/Ic2J5XmYdtiK+MEtrZ7x+3sHxxwb9gZX8+f/xtRl+7wi15AQE4l3rm+DpDCQHpDStFYiiiYPDZjmtrd3bxCWYSs5BudmBMSqnSOPv3rIsTJtt3bJwpAwyXUMRP54sLvD37WTgzuUZiTVY63pKw/1zcGnt7RH0eShQWOQBodAjxcpr7Tg312+l58IF/o3S8f7N7bBwz9t8Mv78zxTTrDwyc3tcPJCOb5ets8v77/4qT44eMp3EhMc/Tw7NLBzY33JwBY18f6NbTC4pX1BEBEkQuJh7+ECgEUuNA/luAYhBMPb+E8xPDbKONV7DsebDMnNwOjO9b0uIqxEZvVYdGnIE7Pl8Pc4YmT3jmBHnFOiIuzmS9NaiX48I/1wg4sTcqx6up/tcVx02DtxFVnzbH+/vC9b/bVh4gC/nAOH4wprnx2ArS8OxPrn7L9XrvweOOjVgfxTEqr1Ndzg8pA3Qlip3Ej6N0v32XuJKtFhov7gNql+UtOuwYjNcoPYGX/8bhv6KW8sWKgWZUZcdASqx0Xhnp7Z6NEoFde0847nfpCQazqJd4jQjd4+sdER/jV5wt7gGunBTXN/74a4Pq8uljzVx8AzCk3+N6aDT97nx7s625J/46P4ZB5o/HJvF4fwDLeJnYn3gxEair0rvcWEIc3wf3d0QrqXNO0eGWBtnD26c32vHD+c8fciPOxnpEiT+zanmI+dyVRI9G+Wjr5Na3p4VqHJpBEtkVe/Oo6du4yKSgvu/r+1hr8HIdYY/8RhzdGzse9bQwUbn93SDrFRETh9sRwZSdVw/efLvfp+lAL5g5vhx1UHtXcOU764NQ/dXl+AAc1r4Y+NR7z+frMe6Ob19wg3fr67M/aduID8GZtln2+VmYSkapFYsttZS40t9BHHTI4x+LuIihtcEe6bvPUF9XhWubx5RiJu6lTP4/MKRcQVW7MM7yU4pgjhqttDvJWSUQxq6ZvS/xpxUTh1oRzJsZFIqhaJCBNBpSUcJIFdJyU+GjsmDcaywhM+MbhaZQaGdEsw0q5eMtYdOOO0vVN2CjplpygaXLMe6I5xP6yTfY71cHIvl7HEx/jX5An7kGKEBx6uGzrY+3DfKUzwfALxLW9d59hBvlFNrljuCauf6Y83vZCXOGFwU/x6bxc0Fq6PuEbh/eGUqQr3bsVBQIRMqyMtI0lsWp4oM/nPuL9ryLeB8wef3NwOM+/viowk/+p1hb3BpbaCbFzTsZVCyzqOnhnWszVYEAns0YiHsXzJFS14+NZI0hKicV1eXdQzeNBvV7868rJq2P6+o3s2AM8WPKGOL1q51K0RHIKRgUqUjME1rJW617h6rCiE7RxdaVePhw+9Qfv61dE2AL7bsB/tlJr5/vVwD6QlOFZxjVHpE9i+fnUUTR6Kjg1qKO7DUYatXNNL0eShftMsCnWOnb2suY8rOXLSJs35g5uiaPJQmINEsNAf1E6uhtu6ZXn1PZY81derxw915PS5Omk0mRaHLOnQ9fs4nktnBGwXjaLJQ7HvtSGK87yvCXuDK9IsP+BXWSiev7KFwzbCJ3dD+eLWPNvjh/s1cusYfL72DuVMj1ElKA8Hep27e2Y7/D3tni62x+62DBvaKgPXtMvEqI51tXfmqJI/2FGLq2aistTKq1fnomNWDTzY1zrWSYeuphk8HcITbupUz9b/MyPJbmAF0rwd9gaX0go70mxC45oJDuJ2/ijXDmUGNLeHAxuk2nWAYiL1/ywJM2x1zubeRW/y/Z2dHP7mOUbeJyOpGtrVsya1r5jQDx0b1MCOSYMAAFkp7oV9P76pHd6+vjVeG8k1BD0lOy3ewaPy8U3KDb87NqiBafd2seVoSb360RFcTd4TXr0619b/c/mEfgHZLzbsDS65pEcAaFLLutq4s4e92m0gky/01KAm3j2xMCORWa1PGZ2He3pmo29TbbFUdvGS4ichz1AkWcgzefeG1rinVzYWPN7LaR8tg+uNa1ph3mM98dXYPNX9OOpMuTUPb1/XGrWEVbsYRs9K1SdWOu+xXlzY1Mvc1aMBWtRORHsVCQdpTt4DfXP81qic4x/C3uDSIpIxyAgh6CLE59vwUmpDuK93QwB2OQcAaFQzHhOGNMNXY5XFUrOFyYZtWsoTTo0jWTCAW2cmY8LgZshOi8eh0xcd9qmm0V+uee1E5KQncF06D0mNj8Y17TNtf0eYCOKjI3TLq+Skx+PmTlxewJs8M7Q5Ch7q4VL4KjrCjEnDuZp8OBH2MTJXm5Jy5SBjeeKKJhjVoZ5DKbSe0t1ZQk+sCLMJy/L7ovRypVNVKcd9xImD/bUflSTSJ8S4l0PE8QyTieCvh3sgPTEak//a4fT8tHu6eF3AluMaaxX6lnbLScWXY/J8UpHK8T9h7+G6pl2m07ZnhzZT3P9OoZy9qRfFO8MJs4mgnkouSiOFgYjNp6uTXA1NaiUEVHJksPNQvxwAjsmnjdIdk3q1kq7VrivHM+rWiFXM+Wlem49NgcKTA5sgwkRU0x36NauJ+ik8tBgOhL2Hq01d59Dg7d2UVcr7N68ZkMl4oYDc9zr3MWvuUFZ+gW3bi1e1cNqPYyxXt83E1W0dFyOiflCPRqn4vzusCfSE2Ntl3NMzG58v3otaiTFY8XQ/n54vxw67GBHvKb4W8Q/j+uRgXJ8cf58GJ0AIew+X3ECkt/M4x3c8ObAJWmcm+fs0wppO2SkY2zULbzBK9OydcmNH3tLK3wxqUQsA8O3tHTFpuH1hItY3SMWbORyO7wh7DxcXzgwOxvXJgdlEsPHQWaTEuy6SyvEcs4ngBYl3MTstHoUlpQCAapHWEBfPc/QfvZtYxWitorR2YdpU4Z4Z0aaOP06Lw+GAG1y6XO2LnuiNi+VV3j8Zjip39chGg9Q4XNGcV70FCpOGt8SoL1YAYPsj+vGEwoy/H+mJge8tBgB8Pro9BjSTvzeual0bMZFmWx8/Dofje8Le4NIjlq1X74bjXcwmgoFCyIQTGMRF2xO3E4RmvFe35V4UXyHqBQJQvTcI4fcOh+Nvwt7g4nA47iOG5LPT4hAbFYGtLw60hRY5HA6HY4cbXBwOx21y0uPRIDUOL4+wCjjG8fZXPufBvjm6mo1zOBz/wkdHCf10tJPhcDhWYiLNWPhEb3+fRljz+BW8zRiHEwwYLgtBCHmTELKDELKJEDKTEJLMPDeBEFJICNlJCBlo9Ht7yoTBTfHmda39fRocDofD4XBCDG/ocM0F0JJS2grALgATAIAQ0hzAjQBaABgE4BNCiN+TPcTWPsNaZeCeXg2dOrhzOBwOh8PheIrhIUVK6T/MnysAXCs8Hg7gJ0ppGYB9hJBCAB0B+LXpV3JsFOY80gNZvLUCh8PhcDgcL+FtpfnbAfwlPK4D4CDz3CFhmwOEkLsJIWsIIWuOHz/u5dOz0rRWImJ4ZRWHw+FwOBwv4ZaHixAyD4CcqMszlNLfhX2eAVAJ4HtXjk0pnQJgCgDk5eVxCUUOh8PhcDhBj1sGF6W0v9rzhJCxAIYB6EepTVr0MIC6zG6ZwjYOh8PhcDickMYbVYqDADwF4CpK6UXmqVkAbiSERBNCGgBoBGCV0e/P4XA4HA6HE2gQqqe3jSsHtCbDRwM4KWxaQSm9V3juGVjzuioBPEIp/Uv+KLZjHQew39ATlCcVwAkfvA9HP/yaBB78mgQm/LoEJvy6BB6+uCb1KaVpck8YbnAFI4SQNZTSPH+fB8cOvyaBB78mgQm/LoEJvy6Bh7+viberFDkcDofD4XDCHm5wcTgcDofD4XgZbnBZmeLvE+A4wa9J4MGvSWDCr0tgwq9L4OHXa8JzuDgcDofD4XC8DPdwcTgcDofD4XiZkDS4CCF1CSELCSHbCCFbCSEPC9trEELmEkJ2C/9XF7Y3JYQsJ4SUEUKekBxrECFkJyGkkBCS74/PEwoYfE2+IoSUEEK2+OOzhBJGXRel43Bcx8BrEkMIWUUI2Sgc50V/faZQwMgxTHjeTAhZTwj509efJVQweF4pIoRsJoRsIISs8cr5hmJIkRCSASCDUrqOEJIAYC2AEQDGAjhFKZ0sGE/VKaXjCSHpAOoL+5ymlL4lHMcMYBeAAbD2flwNYBSldJvPP1SQY9Q1EY7VE0ApgG8ppS19/VlCCQPvFdnj8HvFdQy8JgRAHKW0lBASCWApgIcppSv88LGCHiPHMOF4jwHIA5BIKR3my88SKhg8rxQByKOUek2nKyQ9XJTSo5TSdcLj8wC2w9ooezj+9wW9AAAgAElEQVSAb4TdvoH1SweltIRSuhpAheRQHQEUUkr3UkrLAfwkHIPjIgZeE1BKFwM45YvzDnWMui4qx+G4iIHXhFJKS4U/I4V/obfC9hFGjmGEkEwAQwH8zwenHrIYeU18QUgaXCyEkCwAbQGsBFCTUnpUeOoYgJoaL68D4CDz9yHwScRjPLwmHC9h1HWRHIfjAZ5eEyFstQFACYC5lFJ+TQzAgHvlPVhb4Fm8cX7hiAHXhAL4hxCylhBytzfOMaQNLkJIPIDpsLYROsc+JzTV5qs9H8OvSWBi1HVROw7HNYy4JpTSKkppGwCZADoSQngI3kM8vS6EkGEASiila713luGFQeNXd0ppOwCDAYwTUlcMJWQNLiFnYTqA7ymlM4TNxULMV4z9lmgc5jCAuszfmcI2jhsYdE04BmPUdVE4DscNjL5XKKVnACwEMMjocw0nDLou3QBcJeQM/QSgLyHkOy+dcshj1L1CKT0s/F8CYCasKUWGEpIGl5As+iWA7ZTSd5inZgEYIzweA+B3jUOtBtCIENKAEBIF4EbhGBwXMfCacAzEqOuichyOixh4TdIIIcnC42qwFv/sMP6MwwOjrguldAKlNJNSmgXrnLKAUnqLF0455DHwXokTku5BCIkDcAUA46vgKaUh9w9Ad1hdiJsAbBD+DQGQAmA+gN0A5gGoIexfC9b8rHMAzgiPE4XnhsBaqbgHwDP+/mzB+s/ga/IjgKOwJj4eAnCHvz9fsP4z6rooHcffny8Y/xl4TVoBWC8cZwuAif7+bMH8z8gxjDlmbwB/+vuzBes/A++VbAAbhX9bvTXXh6QsBIfD4XA4HE4gEZIhRQ6Hw+FwOJxAghtcHA6Hw+FwOF6GG1wcDofD4XA4XoYbXBwOh8PhcDhehhtcHA6Hw+FwOF6GG1wcDofD4XA4XoYbXBwOh8PhcDheJsLfJ6BGamoqzcrK8vdpcDgcDofD4Wiydu3aE5TSNLnnAtrgysrKwpo1a/x9GhwOh8PhcDiaEEL2Kz3HQ4ocDofD4XA4XoYbXBwOh8PhcDhehhtcHA6HE8S8+MdWLN513N+nweFwNOAGF4fD4QQxU5cV4davVvn7NDgcjgbc4OIEFSXnLuPLpftAKfX3qXA4foffBxxO8BDQVYocjpT7v1+HNftPo3eTNDRMi/f36XA4fqXSwg0uDidY4B4uTlBx6mI5AL6y53AAoLzS4u9T4HA4OuEGFye4sNlZxJ9nweEEBNzg4nCCB25wcQzhRGkZ7v52Dc5drvDq+4j2FuH2FocDC/f0cjhBAze4OIbwycI9+GdbMaatPuiT9+P2FocD8BQuDid44AaXQfy8+gBu/3q1v08jJHmlYBtenb0dAM/d8jbvzduFp2du9vdpcHTCPVwcTvCgaXARQr4ihJQQQrYw22oQQuYSQnYL/1eXvKYDIaSSEHIts22MsP9uQsgYYz+G/xk/fTMW7Cjx92n4DTHE543x/4sl+zBl8V7r8W3vx31c3uC9ebvxw8oD/j4Njk64wcXhBA96PFxfAxgk2ZYPYD6ltBGA+cLfAABCiBnA6wD+YbbVAPA8gE4AOgJ4XmqkcYIb0fyhcH8CGDt1FT7/dw8AoLDkPLLyC1BYct5hn/0nLwIAdhefd3o9xzjenbsLd34j3zj+9w2HMfDdxbBI4lmbD51FrzcX4siZS744RQ6AKp0xRYuFosXEOfhxFTemORx/oWlwUUoXAzgl2TwcwDfC428AjGCeexDAdACsu2cggLmU0lOU0tMA5sLZiOOEOYt2Hsdrf+0AAMzacAQAULDpmOy+BZuP+uy8wpH35+/GvO3Fss89+9sW7Cw+j/Iqxwq5b5cXYf/Ji1haeMIHZ8gB9HuUy6ssuFBehed/3+rdE+JwOIq4m8NVk1IqznjHANQEAEJIHQBXA/hUsn8dAGw29SFhGydEMJmsPi6jIhziwl0pclgjLsqYN+Lg/OUKZOUXKIYSK6ssyMovwMcLC5GVX4DzlysBWMNZ9323Fi2f/xsAUCVcfBMP93qVyxVVyMovwP+W7JUNKWblF+Cdf3Y6bDt29jIAOBnJHA7Hd3icNE+tWcziXf8egPGUUrfvakLI3YSQNYSQNceP+74ha1llFSwWigtllT5/72BGnGKNqpoSQ5Mmhbm7e06qMW/EwVFhMp66bJ/s86XCvfDJwkKH7VUWir+2HLM9L8793NzyLsXnrNfrs3/3OIUUxTDvBwscr9XWI+d8c3IcJ8orLU7hd5ayyiofng3Hn7hrcBUTQjIAQPhfDB/mAfiJEFIE4FoAnxBCRgA4DKAu8/pMYZsTlNIplNI8SmleWlqam6fnHjuPnUeTZ+eg2+sL0PGVeT5976BHTJr3IIeLxe7hsk/frMij3twVjjail0TJMdXmpbkAnD1XFsmySqwgNfHaZ6/x2/rD6PXmIgDWe0R6G1QpXMsqnlzvNxo/+xfu+W6t7HN7jpeiybNz8Nt62emQE2K4OzTOAiBWGo4B8DsAUEobUEqzKKVZAH4FcD+l9DcAfwO4ghBSXUiWv0LYFlBsPnwWgHXFf6HcedVRWWXB3uOlKDl/2denFvCIk7Gr43p5pQUnSsscVoAWC0XxWefvmA2HXCjnHkijsHum1H1Tlyoc7wlpOEu8hDyk6D1+XXvI9risospJJkVciEivAZdT8S9zt8nnQ24/avU8fvbvHlTycG/Io0cW4kcAywE0IYQcIoTcAWAygAGEkN0A+gt/K0IpPQVgEoDVwr+XhG0Bhdag9MGCQvR9+190fGW+28cIVWxVii5+/qd+3Yi8l+fhMuNW//TfPZghrPg+W7RH9nWP/rzRrfPkOGMzuDTsJGmjZNZrUnTiAuMp4waXt6hk3IoXK6qcPFfiokTqAeYe4cBmx7HzeH/+bn+fBsfLRGjtQCkdpfBUP43XjZX8/RWAr3SfmR/QGpI+0HFDVFkoIszhN+G4q8M1e4u1CvFCmd3gYvXMzjO5dOH3rfoG0VASk+F1v46ZxIvPXba9Xs91Kjl/GaBAemKMS+8Z7rCGE6XOYd3KKuvzkZIxSM3gOnzmEmIjzajOC1HcZu/xUpy6UA5CgHb1qutedLDj5YcLCnFXz2wkxkR66SzDg8KS88isHouYSLO/T8UJnm3BIhmTNh06o+tl55n+geG6kBTDUa5+/Giz9Sd4iQnhsp6U1Pho2+Ov/yty+/w4yoiD/mEX9bNY70pUhAn/7rIWuegJKXZ8ZT46vqrsKebI45QkL1nhiB6w6AjHyUZtIdRt8gJ0e32BMScYpvR9+19c+9lyXPPpcsx0IR/roiQ1YvhHy4w+tbCitKwS/d9ZjCd+CcwICDe4ABw9ewnvzt2FzxY7hq/2nbig6/WsZyBclZ9Nbnq4RA8WGyopY3KFejexF07sPCYvdrp413GvN80OVZbuPoHTF8sVn1cLEbOTf0WV/bFSZSnHdZYVnkAFk9tTfK7M4XnpeCNeE1eT5i/K5Kxy9FEkmSdmb7ZrB64pUs+ciZBUmOidczjyVAiFVUt2B6YWIDe4AHR5bQHen78be487/tj1hlg+Zsrlw9XgEkd4dz8/69W6zBhc7OQdaXb+uZacv4xbv1qF14Reixz9XCyvxC1frsQLs5TFMNVCUWw4iw238xwuY1hddAo3/28l3p27y7ZN6oWUXh4xpCi9AhlJPHTrLXq/tcjhb1Ew+OzFClz72XLb9q1Hzjq9toInyhuKeDsE6vfKDS4VzDqX6ruYNjPhmpxqb+3jyLTVB7FMRnl85d6TDitD9gYpY+Qf2Dj8ZRm9GjEUydXNXUc0cvcK1yEhxjmlc/q6Q07bRFivyX977N+/PZ+P4oEf1mmu8jnynDhv9WbtPX4BFVUWzJC5FkrJ8VKjNznWnp91/Lyjl4zjHaRVvW/+vdOhyhRwLkTheIYYKWE9tidLyzBPoUrU14S9wXWiVHnw0XszlDPhlHC9f4i9TNG27WRpGZ6avgk3/2+l0/43TFnhsDKsrJL3cLHaWwWblNv5aEkacJyRfmNyzsnx0zcrvp71ZrK/ezGHa/Phs/hz01GHVT5HP+zl+GzRHjw2zTkvRRryrVQIKbLXatKf22yPT11QDidzjGXRzuN44peNOMnMOWEbEfESf2+1G1Y7jlklN279ahXu/HaNU76cPwh7g4ud0KWo5a+wz7Gq9OEqC2HT4WK2sXk9WrA5XBcUEujlEL/uA6cuglKK85cr8OXSfWF7HVxB+g256oZXUs+evfkodh477xCSn7PlqIMnmKMNK9dRrKD9x3q4vly6z+E+Etly+Cx+ZNo2iXqDAMJe+2ndgdO2Yg8p+05c8EiQVEkE+rsVB1AidAsI14iIK8zdVowtwm924c4SbDjoXMxGKcWQ95dgxZ6Ttm2f/7sXJ0vLbF0Wxn2/DrdNXeWbk1ZAUxYi1FFLN1Frx1B08iIapMYBcGzNEK43kL21j/3zu6JuzRpnakawFPYdDpy6iA8XFOLXtYeQkx6PXo1926kg2JA24Cpz4XsHlK/vzPWHMXP9YXx3Ryfbtnu/WwcAKJo81LWT5KiOUaXMYm/Sn9swflBT62uYfW77erVDGNHheGHuGB75yX8A5H+Xwz5YggvlVRjR1vW2v5fKqxSjHe/O24VFu0ow8/5uqMVlUTS569s1AKzX6Lapq22PWRbuLMG2o+ew7ai9hdXM9YcdIlgLd/q+VaCUsPdwqdkEYoJqhdC8l4U1LErOsS5iY88vWBAHcYfvwoUvQ8lQVbo+MZHWn66DgWehOCNU3LlitAU7e4+X4lMZgVhKKd75ZyeOnpWXe/C0DZPW4uLwmYseHT/cOXPJ+luuslDF++DsJcfqXLELBpvDJc3ZEr3R/1uyF7uLS4063ZBD9LS74y2vtFhUXyeGctXyhMsrLXht9nYH2aFw4OOFhbqqNT9eWGjLA75cIT/eB1rIPOwNLrVJ44sl1ma+7zBVQiLsbZLACNWFa0zeLJQ3s+KJrnwXSuEspWOIm5UNtfC5DjdMWYHX5+xwGpi3HjmHDxYU4qEf18u+ztPFgUz0ygG1/C+ONq8WWCtv2bwUKVKDa+qyIs3jinP8ywXbZfMrOY64k9husajfHyYdVd3T1x3C54v3ys4/ocqpC+V48++duEXjd3mitAxv/r0To7+y7qdktgbaNMANLh03U5mM9cyuIKlD8nCAXWEfsXa/cyWaK+HVSoV8Ly2Dq1JSsKA2kO04dg4vzNoKSik2HDyD8b9uCgnDTMwhlFamid+/UqjwximeJbPL5QvpYTWvWlRld/F5TPx9i8M2qf6WyIt/bJPdfupCORo+PVv2uYvlVbIeUQCYtfEIvl+534WzDX3ckRiotFhUUyoIrBp4YqidJSu/AHd9u8bmvVmskGMWiohjlrTCE4BTv10AuFSufm3YEGMgEPYGl9rqZWzXLABAu/rJTs+xxoQ0rBWOzNtubcdjUfhetGAn77QEu7q80tcpHpv9vqss1OailxsjR3+5Cl//V4SS82UY/+sm/LzmIM5cDH53vdLXbOttqPC6XR6Gk1wpimC5jlctqnL3/63Ft8v3o5cg+ntl69q2JsdatKtnH6uUxqJDpy/h9Tk7ZJ976Mf1eGbmFtnnwhV3xvQqStVfR+y5SXLM3VaMzxfvBQDsOR4+YqgmRlJGyg5G+Fr8asX961Sv5u1TM4SwT5pXa2ciGgGbDjkL1rHGhJlRCw4Bh4lHsB/flXGKNXzF/CzrMeQPUmmhuCxp3ltRZbEpzheWlMJioRgzdRX2n7yIA6cuIj7a+nMnsOe6hMLlEnOxpIOU+JV6S4g03CvcvIU4iaTEWRceydX099aLN6gPH7t4CXf2HL+ANnWdF91qVFnUDS6pyDbHihihOK2xEBbHvBIhP1Fvwc+wVhkenJ3nhL2H6xuV/nxJwkA3RVhpsLA306iOdWW3hyPuevvY0CBrN6gl3heWlKKK8YxVWSiWFVrLgj9fvAeXKqqwZPcJHDhlTd62VXQRuxESCiFg8SNIvyrRAPPWvFnODS6vYJdYobb/r2pTW9drG6TEGnIO5y4Fv+fXKNRyqJTGJy2DiyOP2njMFvlIv1q9iwM9fV69SdgbXHHRyk4+tbmYvZnYflhsqCsrvwBZ+QUOLR1+W38YeS/PC5mb8bFpG/DIT/akbDZp15XPyOZJHDpt9zqqhXxjIk0OScPL955EdIT1Wlwsr1K8eTu+Mt9WvRIKBpe4utshCTuJxueFMms+xPS1h9DxlXkuVY+q8cjPG1x+zfWf83CiEt+t2I8+by1ilPrtz32/Ql9e1TfLHffr9/Yit84lHLsz3f71atuYPeCdf23b1eZypTytKgsNibHF10i/T3asUluI6x3T/O20DXuDa2iusouRQtlocFTZdn7MVox9z4gOPjNzM06UlskmBQYjM9Ydxm8bjsg+51oOl33fmon2HC65G2Rcn4bCI4Ios731z4fzd+O6vEzb33rePVQMXwBYJEmufXeedWW+s/g8KKWYMGMzSs6XobxKvWRdL+7kv63axxPmlXj2ty3Yd+KCrWsCe4XO6ezrKsXd/J9Qui/0smBHie3x7hJ7fqOaV0Tpe6q0UN62xw2kw5JSxET63er9qrmHy89ERShfgE8X7VGs9Plq6T7bY3by6v/OYmTlFzioOUcwVoP4QzGH8BJS1CyzSFYkWfkFmLJ4j+xkz95AbEWWGGpMYDyRzTOShONT3PKlvXz4QnkVvlthN25bvfCP5rmG0sSitnprMGG2LQS47eg5tJs010dnpU5WfgGuD8Mk+tfn7EBWfgG+k/FcST1cvtIS+oJJnXBFtDjUYe+rps/9haz8AptHXmlROX3tIUPHltVFp/DYzxuQlV+gu4AiWJi18Qiy8gtw9mKF0/cp1zIMACbM2GR73PnV+fq/a+7h8i/upqGwXh25wWnOlmO2x2YTQZWFoqLKYgv/eCo6GQywN4Ho0Xtn7i7Z1YhSArb4fZnN9jtFjNcrSUm4e47BhJwLXW8/yT83HtVMSvUlqwSZCIuFhoRMhx5EWYaPFhQ6PWf/TVr/33nMNy2RXpm93fbYTcWPkIQQgkrBKywKbIrNkdnx4+khTW2PP1+819Cx5adVBzFDaDM0e7NyT9lg5JOF1nvg0JmLTt8Za4AlxNgX3Sv22j3lx85d1j1ucA+Xn1ErzdWL3H3FbquyUDzwwzrcwOSvhMO8wt4sF4TGoZcrLLKrQiXjaWnhCQBA/ZQ427YIm/SD518iG+4NFn5efQDZT8/GsbOO/fUSq8nnI0ZIXF9fLdsnu58/qbJQZD89G5P/kpcrCFXk7gXxdy0aPf4YKtzVWAtWXvtru+Jz6/afRs4zf8nmHy7edcL2+K4e2bbHlFJD8xWnrztkexxpDq1pu+ikNewdGxWhGlJUS1GZtuagrvfiOVxBzoWySlwqd87HYpPAyyos+GvLMaw7YG+6GQb2loMXhjWOTl90DpFo5Ttc087ez0z0dhkxKXytUqUaqMxYZ13piu0vxH5s9WrEoejEBVRWWWwtjgAgNsrsfJAAQ7xf9Cilhzpi/7dKm+Hl+9HiQlmV7LgmwrbRCgU+/9e5El3kpBDSXV102raNUoqzFyswd5s1khEfHeEohu2l8wT8bzQYTY1Ya3eSC2WVTp0THNJSVL5UpTxiKf72cIW9DpentHj+b9ntv661r0jkwoehXsFSUeWotCzeLNUizRjy/hKn/bU0ndhKUDH/LVjDgZ4iyltUVFlwuaIKx85ZPV0LdhTj3u/WIibS5NBbzIjk3ZqJ0Ypq50Yg/lTCIdTOIvdpxQR5cUHhj+Trge8tRnSECTtfHiz7/KQ/t+Hr/4qw7aWBiI0Kv2kkf/pmzNl6DINb1gLgWOgDAA3T4lFY4p0+lW/9swsP9G3klWP7A9FQlRNEZudJI9INvKVJqBfu4fIB0RHOHoYQt7dw4NRFrN5nXxHaWjFUVOFEqfPKuEJjUmHDYuJjIyaiYGpyfe5yBYpOXECcMMFR2Nv6AMCindYqRWkj14sqngq9vHhVC4+PocYRocG23jy0YOH85Qqn0C+LOInITc5isjwrk+JL1MQkv1leBACqXrBQZs5Wq2dLTGCXhvluyLNrM7at55poqh4sFoqyyiocOBk6DeIvVVQ5VO9fKnf8fJ52xgD87x3kBpefCPXk4H5v/2uTJQCAtftPq+yt7eGKimA8XMJd449Qiz957OeN6P3WIptH682/dzh4SETVZU9IZBJTezRKtT3OTou3Pc6rX93j95HS7+1/tXcKQga8sxidX5uv+HyVhWLt/tPo/47z51+y+4TMKwIDJbHdcKNIMAikBlcBk9g+sm0dGI2FUuRP34yeby60CzqHGGOnrsKwD5fa/h73g3PfSS0OfXo7Drw9EgfeuRYHP7wFf374LEpLS9G7d2/ExMQgPj4eqampGDlyJI4etV+zF154AZGRkYiPj7f9S062G86///472rRpg8TERKSmpqJv377Yt087N5YbXC7Sv1m6y6+RxqUBYM9x77ibfYkrmkpivpESWuHBSLMJ8x/vhY0Tr0CEkMPF6uZ4wtr9p1BWGfgr9XnbiwHA5jHZcvic4f6gjCR7T7Lxg+xVV41rJmDj81dgWX5fvHFtK4Pf1U6oqdeLxrESVRaKA6dc08q6p2c2Nkwc4Mlp6UZrnAqWEPDZSxUOAtRGE2l2vBM3HLTn63ZvlKb7ev1wVydd+1movan1wVPB7eVSivKtNEizL+2aiaj32K/IGPseju7ZhpdffhkA8NFHH6G0tBSFhYUoLS3FE0884fC6G264AaWlpbZ/Z85Yr2lhYSFuvfVWvP322zh79iz27duHcePGwWzWzpXlBpeLLN9z0uXXzNronNB3zafBrT20at8pl6pwctLjVZ/XaoRsNlnzIpJiI229K/+3VHtFoYdrPl2Ol/9UrlIKNFijxOjpbggjBCwdCJOqRaJOcjUHb6M3YEWDQ4VtR+S1k85drnQ55FsjLgrJsVEY06W+EaemipbnMViKGUdNWYGhHyzV3tFNqqkUphw6fRGJOntcJleL0rWfhVJbPtJgmZzYYMJXaVURCanIadcdW7Y4NmdPTk7GiBEjsGGDvs4ZGzZsQIMGDdCvXz8QQpCQkIBrrrkG9erV03wtN7gEFj7RW9d+F3QOjqxmiBLLCgM3ZKDF0bPOeSVdslMU90+JVx9ItCoO2WTHlDjHY/VqnKb6Wj38xeimBQsxkSbDw6pDmeaueqPeTWslGHoOwZRXp5eL5ZXYd+ICNh064/ScXj05sW2VeMmfv9K7eXUiwz9aihV75ReawSKQuk3ItSqvtGDWxiO48sOl+Hm1cZIwybHK41tFlUW3UWHSOSNT6mio/CvpMhFMGJ23qeRNrDx3HIVrl6Bt27YO20+ePIkZM2YgJydH1/HbtWuHHTt24NFHH8XChQtRWqo/WsUNLoFonat26WSvxHkdrThu/t9KzX0ClbIK50lRbbB46Y9tqsfT8nCxt6S0wjM13rFCyB3EUvxgoGtDq2Hbr2lNwyvYpKGRO7o3cEr6lc6xWt5LVwmOKdw14qIj0OetRbjqo2VOz9VOribzCmfEJPZ3hWbKJiYDuHFNY68By8ZDZ3HjlBWyz1UZID7sS/q8tQgP/bgemw+fxfjpmw07brSQw1Ut0tnT1bJOku7qOL2yBdIxcMxXq0I2l8sVkqpFIjk2Cn2a2Bfhx2e8jAPv3YBj3z+FBi3z8PTTTwMAHnroISQlJSE1NRUnTpzAhx9+6HCsadOmITk52favT58+AIDs7GwsWrQIhw8fxvXXX4/U1FSMHTtWl+HFDS4Babdx9s/6KbG2xynxUejdJA2tMpMMeV+t3KZARW5cUBssdmioZUuT5hukxmH9c/aVipoeS7Wo8PoZ5wq/vRZ1Eg2Xxogwm9CidqLt7+eGNcf0e7uqviZepQG8OwSJ08SBiioLvli8VzEcynpQZ64/5PBcwSZ9GkIicnlub1zb2qVjAK7rs326aA++XLoPx5nijGCb5A+f8U7Fpxhm3z5pkNOiJT0hRvF1t3drgKLJQ21/mwiQnRanuL+IhVKnirvKKgumrTmIk0G0eASMrRyceb91rJp6W0dbn+S0kc+i3iM/I/O+qRj+wPOoVs26wPnggw9w9uxZbNq0CadPn8ahQ4735fXXX48zZ87Y/i1cuND2XOfOnTFt2jQcP34cS5YsweLFi/HKK69onl94zVQqSI0FBxE7ZgIY27UBIs0mTY+MXga9t9iQ4/gauUnRE40Tqafm3l7ZiGfCsj8x7v+MJMcBLJT7UsrBehWM1nMzE+LUy8+kMSL+tFqfyrNegrGC9++tx/DK7O2Kwq0fzN9te/zozxsdntMr2igiXRwCQP0asTJ7qvNIf9e0nF6fswOT/tzm0J2D1RsMZ27uZM+ni9AbF4Q1NxUAagtjWp3kWFkvmRQLdQ7FHTx1CU/9ugn3f+96NZ8/MVIbi53HmzMLR/t7Ob8mNzcXzz77LMaNG+fW2NOhQweMHDnSKTdM9vxcPnqIYiJAPWbQYq8LW4nTKjMJUWYTth89h/G/boKnqGndBDJyuRue3DbSkF7XhqkO2ltspWeMZEDSMghCDVGVfeXeU4Z7uCgozgh9Fj2pQHugj758CDmenrkF78/bHVSyH2JvSq2qRCOQ866zi5O3r2uNO7s30DxOr8auV1wDQDHzGeW6RoQjLevYJ/cIs/7xSDQQ/pvQD0WTh6JalFlX6x5KqdN3L+bBrio6hWdmbsakP9XTOPzJXd+uwef/WvuJGjl6s4uR5FjnQgWlKMyYMWNQXFyMWbNmab7H0qVL8cUXX6CkxFolv2PHDsyaNQudO3fWfC03uATMJoLJ1+TacrSUjG6zidhcxj/r7N8Uish5VjYeOoNhTNK1K8gZUezKJ1Jl1ejvdg2+RvQG/rvruKEernb1kpEaH40EoaJK6dC1kmLQur6AjCUAACAASURBVK66mKMnRvC87cV4d94uLN4dPInA4srYm7b/Ne0yAQBvXOMsyyH18uq5Jdxtycf+5rrnpKrsGT44jFXMF6tV0Svn3ZHzYEqxUOfFujgOUmrtEfvl0n0BuWihlGLutmK8JvZNdfOe6SlTLJVYzW5kDW7pPBcpfbVRUVF4+OGHMWnSJNu2n3/+2UGHKz4+HiUlJUhOTsasWbOQm5uL+Ph4DBo0CFdffTWeeuopzXPWvOUIIV8RQkoIIVuYbTUIIXMJIbuF/6sL228mhGwihGwmhPxHCGnNvGYQIWQnIaSQEJKveWY+hhCCrg1T8ceD3a1/M7+Cg6fscf8IE0FEiDUPdQe5+7j0ciVeGZHr3vEkB5TeGGreFj0DlB4W7izBt8uLDDmWN/lnW7HtsZjO01BH3ocWM+7vpmuyiDSb8Pu4bqrHijTgmuRP34yPFxbi+5X7PT6Wt9lVbM1RJCA4cPIiXvxjq+GT3YDm6SiaPBSNajpXhZpMBDd3qic8ll+EXNs+0yEcb3Yh9MXCtngySprFW1wsr8Tj0zaq7vPYgMaax6nnQsiW/e618hvlphI9t47cQmvs1FVO2wKxilQqreTuSNFYpliHFW6uEReFU8WHUC2rDfNe1ndbtGgR7rzzTofXjh8/HmvWWMPlL7zwAioqKhx0uEpLS5Geno6WLVvijz/+QHFxMUpLS1FUVITXX38dkZHa0h967rivAQySbMsHMJ9S2gjAfOFvANgHoBelNBfAJABTAIAQYgbwMYDBAJoDGEUIaa7jvX2H8Lu0hbF0eLjCGblvoNJCER3p3iAube0jnTA6NqihfC4yJ+NOw+bbpq7GxN+3uvw6X8MmLYshxRo6qmeH5mboUon/cFQbXNc+E41lJnaWD0a1xdNDmso+1z6ruscK28fOXcabf+/EMzO1cyP8zXcrrDmGJ0rLcN/3azF1WZFmoYir9G6iHgK8t1dDDGpRC/2b1ZS9QSl1vK+MyH0UW9sEKnO3FWP6OvU8Mz0Ltuo6q9MBxzCr2J5JCTnDWE+Fu8VCkSqR2hHD2g77BaDBdZNB1flyxr7UYyhVH/B3MERzdqSULgYglXwdDuAb4fE3AEYI+/5HKRV7uKwAkCk87gigkFK6l1JaDuAn4RgBg/jDFG8+pesSYTJ5NYQ1/tdNyMovsOXpBBInSsvQ9bX5uOLdfxWTC/XKa0ipssi7xx8XVp9qiaRy1+Pjm9q5dR7Bxg1TrOKzSToEEz++uZ1sXoOUnPQEvHlda82J6KrWtXF3z4a2v3Pr2HOLIs0mvHNDG7mXeZVTF8oxasoKlJz3fi6VHGYTwVZB5HTIB8YKUkrD7lLq1ojFZ6PbW0PCMrcnBXWYcNx0cAUVejTd5m8v1tynrEK/OG0jxvOiVXEoF1Kso0MmpLSsUpcczt9bi/HYz/oEPf3BS39s82pDaemiYquCALGvcPeWq0kpFRsPHQNQU2afOwD8JTyuA4BNeDokbHOCEHI3IWQNIWTN8ePez+FolZmEHo1SbRORWGGi9BswmRwbKRuNmBe2PwCbkk5fewhHzl7GruJSxR+uuzePtOpT/Irv6NEAt3drgNtVkoCrLBSvX5OLcX3sk79SDlGd5Gro29S9ZOFARFwNR0Xo+94PeKENiBiSqZ1sD1edFlb2ozrWlX2Nt/hh5X4s33sSXytUC3qbQHEoyLUTg8TD5Uo1XSiz7oCjGK2cF9gVbyX7HU8d28H2WK4BvJyX8bVrctE5W9mjD+gXOn3ox/WYsf6wrn39wVfL9rkdUnxcRyhYuhg3qh2cu3h8x1Grq8NhmCGE9IHV4BrvxvGmUErzKKV5aWmeK4hrMeuB7vi/OzrZDAWzQrhQDCNGmEw+qYqTehe++a8IN7jQSscbsKtFtdW2npwIKdK+jOL1iI2KwMQrmyM2Sj0X4oYO9XA1E8JSCpdMGNJUduBj+XGVcQrUviJKZ16hu3k7aojCp2zeo5j/1TBNXpBTFG81GjEyHW6FFFKSZDyZFkodvC+eDGPVNTyld327JmglIzytNGVvsfopdg/XmK5ZTvvK/UzTE2Lw091dHPS5pOipZAwWdpe411e4ro68ukAbBty9asWEkAwAEP63mY2EkFYA/gdgOKVUzI47DIBd6mYK2wIO0XslzXe1GWQm4lUPl4j0LZ6ftdWwZp7uwmplqX0HRiSxa+mhsAYGtYWD7duU7Ir46AhNg3nCDOMUqH3Fmv2nFZ/7+KZ2KHjIWgyidN0+u6W9IeeRlmANc4gTAptDMiS3lu2xtwpPxJw2X0uF9BaUrVvXNUYQWcqk4a618RG/9laZSTaJCEIIXmSO48l3pOXIm7utGE/8op6sHqgcOu2ZOKorxr6WrMs/j/aU3d6mbrJL+VnBqG2nhVQA+PZuzlEQb4Yr3cHdUW8WgDHC4zEAfgcAQkg9ADMAjKaU7mL2Xw2gESGkASEkCsCNwjECDtFY6Jjl6NI1MwaXLwZzpZvWW0rJemB/4AdPK4emZmgkqepB60YZ2LKW0zb2FUfOyK9S46MjvFq67y/UmuMObZWBFrWthoBctefLI1pikMz36ep7N0iLQ7JQli1OJDUT7WHGT262G3WLXez9lpVf4NSNQA6b8e2FgfbUhXJk5RfYcn7W7j+NrPwCZOUXYNFO6+dhK5qNZHSXLJf2F7+HobkZaJZh14jKrB5rM4o9qaJkX3v2UoXte3jyl4046IWwtV4W7zpuO5f7vlvrl3NwZZLXaimmVrjiig0VgOoQHiOVxXhqUBM/nYl+9MhC/AhgOYAmhJBDhJA7AEwGMIAQshtAf+FvAJgIIAXAJ4SQDYSQNQBAKa0E8ACAvwFsBzCNUhqQ5WCRZhPeu6ENXr/WUetGNMTMxHgPl1yCvNLqZdU++SayvmAXk8eQxOidSJsX7znuebsiraq7V65u6bSNNQiVGoPHRUfobpZaZaGGC4t6C/Z6qCENKY7qWBejOmp3uVeja8MUvDyiJe7r3RBxQhm8WCV6ZavaDvt60vPvso4EaHtI0e23UWTrkbMAYFOT/2qZc5WU3uvgD8SvRDRGPenDyb60kAkJ/bL2EJbslr/3fMFU5pr8teWYLuMnPSEacx/taROUZe+HODeqnV0pYt9y+KzLxwesY9MlFxL5g70hvJz3Suq1U4qsfDkmzyvn5A56qhRHUUozKKWRlNJMSumXlNKTlNJ+lNJGlNL+lNJTwr53UkqrU0rbCP/ymOPMppQ2ppQ2pJRqNx3yIyPa1nGoFMlKiUUvIWQQYSaGr54bPfOXk/4TGz48xHiTlDw3ehGrDNW477u1yMovcNq+4aA9uXTaGrsXS6zEGazgJZF6C7Wolajce0xEzqPDVjIqeQjjoyN0K6jf/e0a3PnNagDA7uLzgifDd0mXPd9YiL5vL9K1L+vFUEM6SF3bPtPjELDJRHBL5/pIjIm0fbPiRCf1Butt1CyHnrP8Yslet4+vhWh8iz+tgk1HnfaR63PoD8TvnwJIFTxa9YSesGKvTE/ygNhqZOni0J+9/BbudPSc6gmlNamVgEY1E9CjkVXEtTajVXarTN6VFtIkfDWquWHQAcD1ny93KfTZbOIcdH1tvlvvFQj0aiIjciqZA5QcIf2aydX0+YfQybzzItPv64qXh7fE1Ns6IC46wiuJxx8tKHT4m53Y2YrA/Sc98x6JVYZSxKqyUxfKHRrtnr9cgaITF7Dl8FmcVNCUiY+OwNSxHfDyCKvX6evbOjg876tJiE2ibKTgSYmPjtC92pu/o8Q2gK8XBtHvVx7ApXL9K0tPOHDqIvbq9Bbe3j1L135SD4yW1ICraBlFnngM9bxSDDN44zenJ4RjtCehfkos/hTEmF1BvA6UAr0ap+GrsXm2dkvvj2qLH+7qhLSEaN3FFlLEqu529ZKdrumRs/5Le5AiW60pYfwgq5ac6PFjC6dGdbB7uxIkIqbPDm3m8fnVr+GeYLE7LeGOnPW9VAqlFFsOn7WFoLUM4PdusGoASmGdHLd3a4A5j/RwaqGk5s1sV8/aGeP1a9wT5jYKbnDpICU+GtXjotBHEB70Rr6v1MvADtxfMgJvnoQBlFi59yTaTpqLib9vQbtJcx2ey33hH/R+axGGfbhU8fUEBH2apiNF0IWR6sPo0ZUxGmmDa5G46AiHVWUTDXFPG8LlmbutGM0mzvH09FzGlSICNcT8HZGLBhuPbYWBTSkkLH1/V3AlSfhDyQLGCMR7Ty1kZrShVzMxBi3rKCfit5Bp0AvYK0cbpFoXIX2b1rQVKsRHR6BrQ6s3p3Et90K8osjmugNn8MViR6+iJTCcfACAlwu2a+4jjleiUcBO7nHRzIKEGaJv6VwPV7V2DJe7QyAKkxrJlR8txbAPl6LnmwsBAK9oXI9BLWs5tOcRYafHXk3S0LRWIjKr61f/F1Md4jSU/70NN7jcgA2TSPOX3CXSbHKYVEXPxqXyKgfJhLJKC44ZuFI5fOYSnp9lTaf7drljC5USpjz6+rxMvHtDa8ghXVhIw3lGe1H00F5BUT0qwoT0BLa9ib5wmlTQ9YgPixcopViqkJMmYjYRzH20p2bOiTR/7ZwOD4ArPD2kGf58sDsapMqv3EXD0B19rsoqakvIppQ6JGcXn7uMyy7ktLiDVJxXjgoPPVx398zGj3d1xoej2gLQNrSnju2AeY85V7Jd2z4Tv4/rhkEy/eRY9OYzSmEV1OdLtI2CzYioJSzO5CRF5NpbTRndHhOHtUB6YgzevaE1vr+zk8PzNwktlrT6jQL6vLZGUlhy3qf9FbcctkZnxPCnVisopbmC9V71EnootqmbjF/v7aLrPOxV07p29xrc4HKDN+bstD12pceWGhEm4vBj2HvCanA9PdNRoqBg01EM0MjBcoVukxcoivp1fNUe82+VmYyBLeRztLRS2rwtGSPX0kJvabaSwVVYoi502HXyAl3HdxfWw/nbhsMY/aVznzQWs4mgUc0EXJB4rFI0ig+MlmeINJtUPTIi7ng93/5nJ3q8sRAHT13El0v3occbC7FNCLd3enU+7vk/71alScV55fDUw9W1YQq6NEyxVXdq2S7piTHISXde9BFCdE343qia/yVI9bfE76t57USM7lwfgHyeW25mks0Qu7ptJrpJGnjXFTwvGw9q53L52jbt/85i/LYhIBWZVFFaF+dl1bCFC9UQPVv+lsfwr38tBDBSYFFuZThTRiVYT68to4k0E0RHaK8+AGvDWBajmksrIZdAr/eyKEl8HPRQi8dT2In71dk7NPeX+47XPTfAaYUu/V6MaDLtDinx0XjiisZ4659d2jsLiKG8BTtKsGKv1et78PRFNBG8zHrUt4+dvQwLpW4l718o077vlhVaq4gbpce7Jego9ksUr5O3pwd/XP3dxedRMylGVcrEHTzNrbyqdW20rZuMujVikZdVHXf3zJYdR7SKplypYtdTwLPphSvQ6oV/AFibM5/zcPxfu/80RrZzzpMKZNTmkB/u6uyXOdEduIfLDdjVuTv2llzp+KmL5U4Gl1bjU19iNpkUVxnS7WzIDvC++Nwvaw86bRMHc61+Y1EKNdx/bDyi+b7nLhsbjmNhw2Nss2ol5Nq01IiLQrwkZ0H6ad1JvjUK6blpIbYlen7WVtt3f7miCmWV+ifazq/Nd9s7ma9DEFfUVWIbGCuhNonYk969bHL5QRhywLuLMdqgBsYsD/643uNjiIU30RFm1K0RK3tfaS0gXWqfpePysoapnib1Wvjqku8qNq55u9ocEhNp1swNZYtI/Ak3uNzg89H6VbmvkVlJ3CHTF/DMxQqnH4PaitrXrlGzSflHL80DqZcSiw0TB9j+rtIRimHRqy8j3mRyq5u46Ahsf2kQxmuI4SlN+jPW2T2LCxX6b6nlDK3ce9Jtg3nbkXN4f95ul14jTgL39mqosacjeiUyjIL9CaXrkP9QYoNQNXro9CVZz4aYR+MttPJg5BZVTWslYMekQba/Nz1/heLrWVkHb+JtB+eJ0jKsKbJ6I5fsPm6Tm9l4yD39KTVWekGj0GwiWP1Mf+x8eZDDNjWKXWgN5Or1NSKiwo7XhSWl2G2gYQRY0yEmzNiMPRIP75Ld+sSO5aY2T3+n4uv9nV/IDS43YH/0WtcvViaJWenHI/0xqN24nrafAID/NBKxWVgDRIrcGJAca1+JiQ259aLX4EqIUfeQVIsyO5QOy60OY3V4WW77erVNFoJlnUI7HYuF4oYpK3DrV+6t4od8sAT/t2K/9o4CiTERtjCGVhn8iLZ1EBVhsjV+bVJLn36X0VDq2sQkRQy5vvn3TllBVG8nBq/XyM+Rm5TH9clxSApWKyYhtgnCvfPTizfsLbZC+NpP/8O1n1l7wGrlIXqKt8JKaQnRiI4w274rrUKDf7YVqx6LxWUDwIALxo7X/d/5FwPeXez5QRke/2Ujflx1APd9v85hu97rf0WLmk73j4kQXCsjF6EX2wLGzx4unsPlBlIvs9hkVE4s1JX8JengWqri4XIljKKEK01aS84ph7WMbhSsV+JATqFfinhu7etXx/T7uio+r8WfMiKXx0vlPVhimG7HUWNXjkqsfW6ALRettoIchki3nFRse3EgIswmPNivkS9OT4L9+y41aIKU8zQa0Xf0vz0nkBYfjUY1E5y8nAt22CfVuCizU7EC+7v68a7OaF+/ulM+ndrQ4KtAnzfC/eyCqeikd9v8HDlzCVsOn8UVCgU9WijJx3iL1c/0x3+FJ3CTEFJ11QAoq3A/BcBsIqiyUNnf1uWKKvy06gBu7FjP46pypS4feumcnYKdkwYhwmyyzalmE8Fb17XGW9fJV8prYQspenRmnsM9XCq0ykySDQmqGR9S5F5fXiU2W7b/9GslxjgJCKqJKBqhx/XTav2ep1s6ezdEw6J31dciw1oNxyrZ59ZJclgJicaPNDzbOjMJI9vV0X1Ocj3PMhRCYqIB4M1iAVF2IbN6NYdKqrfnaiehe6txtBLX52U66UVRUFQY5L6RM7j2nfC8vdRNX6y0rf5v+3q1w3MfL9xjeyw1tgDHViQxkSZZeQHW2BnbNcvWscHhOS8vyb3xCz0jUzUs9ThKRUTd5aqPluFuF6tTq8faw72iXpkeJgyxCp3GRntmkFCFx3rwpJeuvVOC81X/Zc1BvPDHNvxqQIWpnlQKrW4i0jHKE284wHq4eEgxYJn1QHe8fb2zRc16VrRyYHIzk1Az0dGNLF704YxwXo9GqU4/BqmHS2w9AVg1iQDgh5UHUCSZXM5drkCLiXNw7nIFdh6ztqQpLCnFLEki+AYXWlC0qSuvawXoT8KslRiDDwR9ITX0qpGnJlhDhFe2tmsN/fFgd4dVkLiClQ4yvz/QHe9c38ajCWeNQkjxomAAeNI6RYsrW2WgaPJQLB3f12vvYRRvXNsaBQ/1ACAvEfJI/0Y2L7E7uOMpY++1yioL3pm7S7ORsBw3dqiLdJmE3W7MvarHi/rCVS2w4PHetr/FV3g7pCg9t9pJMYoadp7wyM8bHN/XoMWIeM1c8fg/fkUTm86ZK5WSozrWQ9Hkobrva62CHcD7OXRyzNlyDF9J9LCKBSeCK3mnB09dxHcupD6IPDmwCa5q45porFKFvF4izYERUuQGlxvERrm2OpMOmqKeD5tfVGWhTvtJDY/Hr7AngFcKjZWfnrkZ1372n8N+fd9ahAvlVej1xkIMfM+6Qu//zr94SFLF44pmUEyk9afSR9LTKj0h2qZZo4SYQNy6bpLqCkPUwdFrcI3t2gDpCdGK+mCA3cuklNPjSUTls3/3yG6/JMhiqIWEldC7AvtAQUk9Nd7zKiZvMqZLFnLrJKE/099M/MhPDWpi+53J0UjBGyFdSCjBfrclTOXnsj0n8cH83fhwvmuFCoC1EktJOkBcILniRRGxy0L4PonLG14A6TUyOsfum/+KdO9rNhGvVup1zrZ63JUKN1plJiFL6Gt5d89s752IAsfOXcZLf25z2GZra+SCBXjdZ8vx7G9bXBYcfvPvnZgi6U4wNDcDj/ZvrPgaT5Pd7+jeAK0zk9C3WbpHx/EUbnC5QaTEUNKC1W1JiYuyecjYnowz1h92avoq/Y21qZuMz25pBwA4euYSvl9pXV2cKC13GCRPCLlFcoKgIuyA17JOoqZApmg0Tb2tI/a9NsS2fdUz/ZGdpj6hTBzWHIBysmmikPz+kbDq1BsuzUmPx6pn+qtWu9kVhhUMLl3v5BqejA2eyjRUjw1sg6tRzQT88WB31EyMccqruL93Dj4fnaf0UtRPkRcZ1lLhF2HvVfbxRcEw/nXtIXyxeK9Dk3ZAvbgkOsJs8w6wmEzA/93RCUWTh7rVTsTkoyRf8RqIqQ+EEJzxoPtAg9Q4XV6b82WVWLH3JEZ/uRL3f++5YK0erToR9vy8YdBmJFllg7IUfq8JMZFY9GQfFE0eiha1tUWCvQUbqRHHR7OJYHXRKWTlFyhK48zfXowZ6w6h5Lw9zLe72BpJOXRaO2dPzth9blhzPNxfOafUU4OrUc0E/P5Ad11eR2/CDS43aJVpV7bVoz49RtJxXvzxiH3ORKSrjgqZViKLhGbKHywoxMTft9q2n7vk7E1prNDAGbAaNd1yUgAAU0bnKTamFmF/qK4m2lYJn5eCom9T5xXGV2M74MrWtQ3RmJEirtiqlAwuLyx1ld5LDyv2elbaXqe67/tWusuYrlno0SgVY7rYPaRqopJKdvh+nYnZlQoGl/jwQnkVXpm9HSM+XubwupsYzShp/zwlj0BKnDEDuz9kuPQ2TFc6nl7n1Y1TVmDJ7hOYvfmY2+8nx/T7utgWpiJvXNvK9nhwboZt8eeN7/fxKxqjV+M0txP51bivt7Lsyyc3t3OpZdZ/e+xjjZiiEmEiuE6oKlXSNbvjmzV4bNpG23Uuq7Tgqo+s98zIT/5z2l/abkzuO9cahjtnp6jvECRwg8sNoiJMeEcmt0uJ2sl2DwyF3etilpQ7ikraQ1tZc5KembnF6Vhi4+XtR885bD8uk38iFSBluVxZhdX7Tgvnpz5Jv3FNK49yLsQ2JUfOXEZCTCQGSQaivKwa+HBUW9nEYk8R5RKUJhFPza1FO0vwSoHVUD5RWoas/AI8+IPzQPXt8iJk5Rco5gkdPHURD/ywTrdatpJHUk6GJFCpEReF/7ujk63pOaA+8C5Q0EOTI1FGMoRd0bOPtx5x1oS669s1sseVGrTS+xAAxnSp73HBhO+U5onj+3logWipsOtl+Z6TeO435/FPD+3r13DqIXl9nt0QMVrhXkpm9Vh8c3tHl4V99SC3YBUZkpuB8YOa6j7W70yLn0W7rPfW1GVFrp8UtVemlsiINGe40dVBij/68XoDbnC5iTigqg1PX46xhkekXrAH+ubg5k71cFNH+Ri/2B9ODlHY8mFJSf+7THXakFyrQdM1R3lVsHzPSd05XMPbupbgKDJ+UFN8cWuerfGzGIp9aUQLB6+GiDeSzLU0czz1cI2duhpfLLEmoM5YZ63wkWvpInojZ292lpcAgFcKtuPPTUexTWYCZxnQ3Jr71EjBe/nCVS30nXiIIxeWrmTuQ/b5TxY55+LNVdBSkgqaynmGozUmh5/v7oxnhzZT3cfugfFylSKR/i1/Pzw5UF1AWMSoytxRX6xwSYtOD9/c3hGPCfpzPioCNZx29dQLGuQEd5VgtRXFBak7VZBa4b7p9zrK8bx7Q2t8crOjB1Lpd/P1bR3w8oiWLp9ToMINLjcRWz6oDYiNa1p7vEVLPDeJMZF45epcm7dKipoOlbhqipOUJosDyCM/rbe56Nkm21Lyp29SfI6laPJQxQqR5Fj1m/u+3g0xoHlN2zmLq5T0hBi8OFz5JnKlF5kWWoOB9Ht0l2d/26wrj4QNA09fewijv1yJsxcrMGer9ZpptYRpnWnN+RAb5EpR82oGA0Z4OZtlJDoYVyJsiF6Phpscct4RqVdR677olJ2CO3uoJ0uLixN38r9cQRQP1rrnxvXJ0XU8b/dNdQexeKFX4zQ8JCxUA+8s9aH1/RqdIvHO3F2YtuYgxv2wTnGftpPmqh4jSXI/NK6Z4FQAo3TWvZuk4xaNoqxgggufuokeZ4zcb1/PilUtfCcm00oX8OKN9tsGfRVb0oT65hmJNu/KA31y8NFC+So4kUnDW6BlHX0Jny1qJyJ/cFOMbKute/Xq1bnokGVcWbr4NSkZsU8NaoqyCovLavhSvltxwGmbWsUdYFVkBoCFO+2hMvG69Gychmva1cHDPzmW03fOTsG4Pg0xunOWR+cbqOTVr44nBzbB1GX7bMUfrhJlJrL5jw4eLhfbTYnERZtRt0Y1HDxl9QS0qJ2I929sixV7T+JZIQQ2pkuW7uPNeqCbbLg7Jz0eEwY3xQgd94wnTB7ZCrl19qNujViXdPnkmDq2A96bp78ZOQulVNZYqLJQA8Kzyq/3dWsrd5lxf1fZ7iJDczPQvVGq1wzzD5jK3Y9vskqoeErzDKsm34TBTZGXVR0bDp51SCsIZbiHy03MNg+X8j6iceRqLF9VgVp4bvJfjt4UT9c1bG6KWrWIyOguWWir4d4WIYTg3l4NdfXOu6lTPTQSPINGIBpaV7aWD4vGR0fgSY1+i+6iJB8iLaNmNYoKBEX7u3tkIzvVOWwYaTbhyYFNUcvHCtm+ghCCcX1y0LNRmvbOCuwqLgWl1u/yckUVsvIL0PL5vx0U0N31cF2uqHLQpMtJj0dOejxu6Vyf8T7rv99bZSbLGlWEENzTq6Et/9FbVI+LwgN9G+FCmfW78URYs0/TdLeNI6VqbyXx5/G/bsLTM7WbiQPy+Y5+6NntEe3qVXcq2ACAj29uh1Ed68k+5w2MaHZPCLH9vtvXryHbWzhU4QaXm4gOE7UVkmhw9W6Shgf75gj7a1NHJclQSURRr3aVEqxMhDcFO31Ns4wEPH9lc+QPVk4mdTXRd1wf1xpESzmno+y+dEToZAAAIABJREFUWpQJuZnOHkQ9Ipo/3NUJfz7Y3a1zCxg8mBBFw+rV2dttOValZZUOiyNXNOhYdh4rVTy12Q/1cKmxfSCx57hz3iEAPDOkGeY+2lPz9S8Nt+YORkj7nulEafiSCpqKhvLPaw7ih5XOXmU5WM03KcGWwwXYZXaU+PXeLph5v3MbM0+pslCXNbc4joTOzOpjRA+XTOTChrjYI4RoioOyqBlPSivIAoVkbL0ky+g3ySloBxuEENzWrYFT01gWV3tB3tTJtZyCM5K8rI6vztd8jZKXRM981rVhqu5wb6CSqZCj5gqHz1xCBbMiZwsS9Mi5yNEwPc7BC5TDaNDVS4lVFeENZJTugJ6N0xQ9zmJ7KQDIq28V+3TXw8UawP3eXmR7LEoUAMATv2xEo2f+UqwgVaK6TE6dqFdnxO/M14wVZIaa1pK/LnlZNXRHH1yh4dOzHaQkOK7DDS43ibBVKSoP3GzugFIewWyh5QmLWuKw0TmpTYTBVHzPJ66wVvFMu6dL8HtJdOLqolzvJbhQVonKKgsKZaoWtRA9BV0k+jNqBn4oIXqE3UFU+gYcQyA/rLRXvZVXWtxard/UsR42H7LLSNzRIzTCIezwxKZAqHvwgam3dcDkkbloLvTKdNfgulBWaRN+3sPktO0uKcXRs1YDV+zzp1RBqoSc8dEpOwWfj26P8YO9k07gTUwmgh/u6oTv7+zk8/f+bf1h7Z04inCDy02Uktcd97E/tslISPZvLmnqC6i3hFFNAHXDP54nJKiLVSOi8nHHBjV05VyFAq56uPTuX1ZpQc4zf+FaZpWuF7FKTaqR5m4oLNjwJKzNhrWmLrP3jFux95Tt8fcr96Ppc3MwzYViiaeHNAUhxOYtzUiKcbnNV6DCagKyLccSVDSrmtRKQJ8m6biRkbfRY3DJaaR1enU+2r88T3b/Lq8twGkVYebrmGb1rjCwRS2Pe/T5i64NU/2SaD7fBS08jjPc4HITcWBRq9pgjSNXFn56cnzkUEpoFHW55BBd62O7ZuGXe7ugj4qwXqjCThLT7umiub+JAC96qHe1ZPdx1ecjbOK4jtvdTfYOJ1h7+O+t8irmYscGaRNflq4N7d7Fr2/rYOsYIYbSnr9SPZcmmGArasWv78NRbVXzSe/u6ZzLqEfSZeETvdFPYZxR8jquPyjfKB5QNvLsKR2ap8QxmI0Tr5Dd/tfDzhGdcIIbXG5yXFDUXXfAse9aNUb0UO4+1+OFcnfVJW1JIqJWJZkiNDs2mQg6ZNVQ3C+UYT1WHRvo+A4IkMXkr7jD6C9XqT4fKcwW4mQi9mVTy0ULNRLcLHVnFzpaDcSVksUB4CVGK653k3TbfSmG2aqFiHcLkPfUt6mb7LyRQc640uPhSomPVrx/ziosNm//WjlvS0lGR/S8uerBDhVa1nGOnvgKqfaWiFLeWbjADS43OSUjULn6mf5Y8XQ/29/utsNpmO7eZL7j2HnZ7Wpl6uGif6KGnsvENk42EWJYCxMlxN+OaDyM7ZqFfx7tiYYajcJDiVdH5gJQbmPEcjUjrcAKDWv151RLns9Jj8ePd3XG5hfkV+sBqPHpNmyVsvib0/qJyxlXbDhS5B+myjFDkDM5cEq+/6U7Hlwlr9rEYc0x77FeXmkZFgxMu6cL7vJDjqGaoe6N3rXBRHj+Eg3AIrMkTEuIdmitwI4Dosq6HiHDbjmpnp8gg1ofqlQvNIwONvSsyu9hwicmQjQV4T1FVC/vIfwWcjOTbJ0LwgVxIpV+brkJNDXe/jvu3cSu4eWp17ZLwxTFPCattlHBhFzDdenkmCnpI3lYRojz9AVnD1UGoxknpjAojUnu9E9U8mDFRJqRkx4+CxQpsVER6O6Bnp27JDA5eo2FFmSuVOmHMtzgcpNqOpppsgNBTKQZm164As9fqZ37I23u7CrS3lNqCcjcw6Vv1TWqo735LQEcRDT1Iu1/qYaYjD2oZS2seqYf2tcPv3CvWCAgbb804z5njSH2XhuWaxeBVGoWznGEFRg9JSSoR0oWIvMe64Xfx3Wz/X3usrNxJS3yABwXNOJjOakGAFi4Uz23UQ6ziWDeY71cfl04IG2h4wvEhdLWFwfiD6HS/fkrm2PdcwN8fi6BBje43KRdfWt1X7ZKLo905ZUYE6npTUmqFulxzsGFskqMYiqH1BL7U+L95+FKqhbplwHBHRwLIIhqv0slmriRv0AICfr+iO4iaomNbOdYhSbXR5INI0YzCeBsZaJRiM6gUIqOsF5BEanXKybS7BBal/O4yrWzMrlZPKQXs4k49bPkWKkuo6/obYa1si544qIjbHmPEWaTZng/HNCcNQghXxFCSgghW5htNQghcwkhu4X/qwvbCSHkA0JIISFkEyGkHfOaMcL+uwkhY7zzcXxHTno8iiYPxYIneivu486AvObZ/h4P5JcrLHhtZC72vTYERZOHIluS9/P1bR1sj/1xQ4psmDgAc4NwZUpM8rkqWiTEROA5GZXomzrVk9mb0zAtHvteG4LBLR09vkmxkSiaPBRFk4fi/t7WUC8bZnRHUsIVD0kwqpNr0UMm9CS38EuOjUKcYNxkyLSXkltQOmwTjmnk5Gs2EUMb3ocS1f6fvTsPk6I62wZ+PzOACMiiAiIg427cg7hEDaNGfd0SjTGamEWNRvPGfNGYvAaNiRpjNNGocU2IGnGJOy4BBZF9hxn2fd+XGRhgBph9zvdHV3VXV1d1VXVXdVV337/rgpnprq4+3bU9dc5zzulQinWPX5l2mRsG9U957NqBmc/heelJ9iP7Fzs3Z6bXAFxmemwIgLFKqWMBjNX+BoDLARyr/bsdwEtALEAD8CCAswGcBeBBPUgrZJkETiXaPFNGHdqV4PpBibv8/70g/dQy+sVHX097U3BgHCE624lhsxGlBMr2pYJfak1+Zznk/ZSIoGMGPUlLRSxrEqzyASlGLI4HI2VY7k/XnIwBh3TKaJ92mmjcsmyeX5Ef+h8caxbsbtPsp+dfWe229U2pTe3GwE1P4nYakd9LQFbX0BwfRoWcmQ8nq3lm9RrjA4q0w0FQHL9NpdQkAOZ6+asBDNN+HwbgGsPjr6uYGQC6i0gfAP8DYIxSqkYptQvAGKQGcQUnk6Raq2vFrPu/gb9ed1r872+emjhA9Dt9I3NSsfkCZEzsp5iVj16Bey6JjbL/7h3npF1WkFmgWloiOLpnl5TtZe4K/5jWO48S1j52heXjenN5uxLBD88ZgAlpapzTyWgOwAKNuCbfexHWPX6l7fA0egCcbhR6I+Ohojc3OQ0PcK2LzkW6kw/vxsDAg7WPJZ9/Tj8i1qvQeNNRIoJ1j1+JyfdeaLueH39tgGXtGW8f7WW6l/ZWSumT920DoNch9gVgHLp5k/aY3eMpROR2EakQkYrqau8JlFFwxMGxPAdzzZIdvScHYF3rYx5ewjw3n1kH0/saq9t7HnRAxsNVFAvjNrjkxN4ps9mL2NdemjssGNk1Q5qbwLh1UtnVct1wZn907lCKK0/tk3Y5nV1TiZcA2m2gUageufok9O56gOt0BBHBzy84Oql212k7eTlHtSstyWpmAoopEcElJ8Yu5T/UehVa1WLq4+OZm9Z/d8VXcHi3juhcQOPT+S3rb0YppUTEtzOQUmoogKEAMGjQoLw8s01Kc1dg5YtflaNsyEjb51PGfHI4F5lPPsa797G/Lo+/vDMTTR3968eDUh4rEbHMbxk0oAd+eM4APGDTtd3uIhOhltW8c0yvg7D4j+4ry5+6/nQMn5M6H5w5ByiTThHF4vJT+uDyU/pYPrfKZiDZey87wdN76AFwvx4HYpPF8BPJy7q/uaVU+mDcJSIp5zurcdHuvex4/P6TxfEbj0M6d8DOfU349sC++Ongo4IvcB7L9KyyXWsqhPZTn2BpMwBjBl4/7TG7x8kF8923U1OleflSw8mofUmJoUmAMiESG9/JPO2J0/dpN4n13Rcf52k95D9jAH3pib3x6s1nplk6ppDG4fLLXNPMG5nSbzLdBL5bdjdEKh8033Tu0A4XndAL//zRGSnP9enWEeXH9cQT150af+ybpx2OgUd0j49N+MIPBuKiE3qF2gErX2QacH0KQO9peBOATwyP/1jrrXgOgD1a0+NoAJeKSA8tWf5S7TFywVyb4lTbbl6+vaGGq7SEl4lslYjgwA6lmDrkoqQODK0W9e/Gk1h3i9y5B678SlInBgBoK8RucBEnhjPh0B8PwvnH2g8+3P1AbTosHki2vORgWdFr6d00FbLTSXZKSgSv3nym5YDb7UpLMOwnZ8WHQTry0M7o3qkDhv/8PPTXUmfOOeoQvHrzmaF2wMoXboaFeBvAdADHi8gmEbkVwOMALhGRlQAu1v4GgM8ArAGwCsC/APwcAJRSNQAeATBb+/dH7TFywbwjn6Ht/I8Y8oW+vCcxfYaez2L1+nbamDV3lB/laqJmSmXcGj8rTwRcVqf98uOsR3oeqgVi+nhp//jhGbjnkuPw3TP64dqv9rN8Dbl3mynv7uFvnWTZPKzzcqm497Ljce3AvvjqEQXf0Tpj2d40nHtMbOLwdLlcp2jjtPXRaprvKD8KL/5goO3yxSzbADg+9pwPZSlmjjlcSqnv2zz1DfMDKtYYfKfNel4F8Kqn0hGA1DvpdqUlKb1DjumV6PVjnjbDmKytn8Duu/wrPpeyeBibL7oaprEwZ5Gu+fMVSReMpGarkw5L2oaXnXwYLjs5uxkGKGHggB7AlLXxv286tyzt8la1k3aO6tkFT11/eqZFKwrZVjrpTYm1NpNZ//U7p2Lq6h1YuHlPfJR8ntPsDRzQA8PnZp7Fo9+0H8i836wwMzSi3v5pYmgCt/kJPznvSFx9euqYKrwr8ZexxtC4bfRrzP1XnIBDu6T2Br3whF65KB4hloflRXfmn+CJ607Fh/+bXa23PkhtNpOs33xuWfzmxDytk66kRNCiRXWZTLNVbK4f1B8Dj+iOR79t34s6nbJDOuHXlxxnmedF7rH/ZkR97ehDPL/mD99MHcUcAHpwSoWc0C/atw8+GrcPTh2cljkOucOBML37rsWI414d26sLPtd+P+iAdqhrbPG8jtP7d8eBHWLbr8Wmqqxrx3Y4vvdBGImtGQ1aW2w6tCvB8J+f57ygDRHB//MwFyxZY8AVEQ9/6yTMWLMzkHWnm++RrL1129kp1efv3p5+QNRnbmAzUz743pn98c7sjSmPv/6Ts9CVgwL7QkHhjdvOxrod+xyX7d31AGyvTUwy3q5UUKp19GlrU3jhxoE4/rCDcPFTEwHEArKLTuiF8uN7olOHUsupacid0/p3D7sIRYUBV0TcdG5ZSp5J907tsXu/dQ6DF+wy7Z1Vj52zj0pf68jJWaOpd9cDkv4eVHawZcA12KaDA3lgONec3r87TndxQTf3qq5raIlPRt3/4E5JnYCOOLgTPr4zVlPTDsBtX+e4T9n4IedxzSkGXBH2+V1fx5pq5ztEomLw2S+/7sso79d+tS9mrd2JH51Thm8+P8WHkpFZNp0UN++qR++uHTH0R2fg7CMTNznDfnIWvuIwJRB5c+mJ7KiTSwy4IqxPtwPRp9uBzgu6dFjXjr6tiyjXTjy8a0av04cP0JWUCP563WnY40PtMWXvlL7dsHVPQ/zvBi0J/lLTBNd2Q6xQ5g5g/ltOMeAqEiP+3/no040BVxgm/d+FRT//Xhhm3PcNTFhehW+eltpzFwC774Zs6pCLUN/UisO7d8TSrbX4yWsV2FPfjE4H8LKUK+YhhChYDG+LxMl9u+GQLgc4L0gZObqnfceEIw7phAGHsONCrh3WrSO+d9YR6GxzAWdqo/+8fKV9ux+IY3p1QacO7XDGgINxy3llsSc400Lg0p2vKDi8lSDK0uR7L0T3Tuzdlm8YbwUnk5CphHO85szHd57nS4cs8oYBF1GW9DnFKL90aBer4L9+EKdS8stXj4j1Sjy9fzeHJVPpw9RxLtHgHdSxPQ7qyJvEXGPARURF6YB2pah84GJ049hbvrng+F6Ydf830CuDDjr68DWci5oKFQMuIipazGv0XybBFgCcc9TBAIDzLcbAIyoEDLiIiCh0Zww4GCv+dHm8qZeo0HDPJiKiSGCwRYWMezcRERFRwBhwEREREQWMARcRERFRwERFeMwTEakGsD4Hb3UogB05eB9yj9skerhNoonbJZq4XaInF9tkgFLKcuLPSAdcuSIiFUqpQWGXgxK4TaKH2ySauF2iidslesLeJmxSJCIiIgoYAy4iIiKigDHgihkadgEoBbdJ9HCbRBO3SzRxu0RPqNuEOVxEREREAWMNFxEREVHACjLgEpH+IjJeRJaIyGIRuUt7/GARGSMiK7WfPbTHTxCR6SLSKCK/Ma3rMhFZLiKrRGRIGJ+nEPi8TV4VkSoRWRTGZykkfm0Xu/WQdz5uk44iMktE5mvreTisz1QI/DyHac+XishcERmR689SKHy+rqwTkYUiMk9EKgIpbyE2KYpIHwB9lFJzROQgAJUArgFwM4AapdTjWvDUQyn1WxHpBWCAtswupdST2npKAawAcAmATQBmA/i+UmpJzj9UnvNrm2jrGgxgL4DXlVIn5/qzFBIfjxXL9fBY8c7HbSIAOiul9opIewBTANyllJoRwsfKe36ew7T13QNgEICuSqmrcvlZCoXP15V1AAYppQIbp6sga7iUUluVUnO03+sALAXQF8DVAIZpiw1D7EuHUqpKKTUbQLNpVWcBWKWUWqOUagLwjrYO8sjHbQKl1CQANbkod6Hza7ukWQ955OM2UUqpvdqf7bV/hXeHnSN+nsNEpB+AKwG8nIOiFyw/t0kuFGTAZSQiZQC+CmAmgN5Kqa3aU9sA9HZ4eV8AGw1/bwIvIlnLcptQQPzaLqb1UBay3SZas9U8AFUAxiiluE184MOx8gyAewG0BVG+YuTDNlEAvhCRShG5PYgyFnTAJSJdAHwI4G6lVK3xORVrS+XdXo5xm0STX9sl3XrIGz+2iVKqVSl1OoB+AM4SETbBZynb7SIiVwGoUkpVBlfK4uLT+et8pdRAAJcDuFNLXfFVwQZcWs7ChwDeUkoN1x7errX56m2/VQ6r2Qygv+HvftpjlAGftgn5zK/tYrMeyoDfx4pSajeA8QAu87usxcSn7XIegG9pOUPvALhIRN4MqMgFz69jRSm1WftZBeAjxFKKfFWQAZeWLPoKgKVKqacMT30K4Cbt95sAfOKwqtkAjhWRI0WkA4Dvaesgj3zcJuQjv7ZLmvWQRz5uk54i0l37/UDEOv8s87/ExcGv7aKUuk8p1U8pVYbYNWWcUuqHARS54Pl4rHTWku4hIp0BXArA/17wSqmC+wfgfMSqEBcAmKf9uwLAIQDGAlgJ4EsAB2vLH4ZYflYtgN3a7121565ArKfiagC/C/uz5es/n7fJ2wC2Ipb4uAnArWF/vnz959d2sVtP2J8vH//5uE1OBTBXW88iAH8I+7Pl8z8/z2GGdV4AYETYny1f//l4rBwFYL72b3FQ1/qCHBaCiIiIKEoKskmRiIiIKEoYcBEREREFjAEXERERUcAYcBEREREFjAEXERERUcAYcBEREREFjAEXERERUcDahV2AdA499FBVVlYWdjGIiIiIHFVWVu5QSvW0ei7SAVdZWRkqKirCLgYRERGRIxFZb/ec702KIqJE5G+Gv38jIg9pvz8kIptFZJ7hX3e/y0BEREQUJUHkcDUCuFZEDrV5/mml1OmGf7sDKAMRERFRZATRpNgCYCiAXwH4XQDr913ZkJFZr+Pwbh3x6LWn4JZ/z055rnOHUuxrarV83fWD+uHir/TG7W9UJj1+bK8uWFm1N+mxK045DJ8t3JZ1WXX3X3EC/vzZMlfLfvqL83BUzy44+cHRSY+f0rcbFm7eY/s6q8+hGzSgB8oO7YzttQ2YvHKH5TIv/3gQfvpGBfyY8vPey45Hn24d8at358cfm/LbC/HY58swZsl2NLW0uVrPwCO649Wbz8SVz07B5t31rt//ylP6YOTCrSmPP/rtk9H9wA648z9zXK/LyrUD+2L4nM1ZrcOLU/t1w4JN9ts+arI9fu6++Fg88+XKjF9//jGHYsoq6/08Ex/+77n43tDpaG6N5ny4J/ftikWbawEAt5xXhn9PXef6tR3albg+HqNm4BHdMWdDcdQjdDuwPc4s64Evl1aFXRRX/vqdU3H9mf1De3/fJ68Wkb0ADkds9u7TAPwUQBel1ENa0+JPAVRri+9SSl1oev3tAG4HgCOOOOKM9ettm0N940fAVQxu+toADJse/PbIBz84+wi8NXND2MUgIiIP1j1+ZaDrF5FKpdQgq+cCGRZCKVUL4HUAv7R42tikeKH5SaXUUKXUIKXUoJ49LRP9KSRt0byRDgW/CiIi8iLIcbieAXArgM4BvgflkGKYEedzxTARERW4wAIupVQNgPcQC7qIiIiIilbQI83/DYC5t+KvTMNClAVcBiIiIqJQ+d5LUSnVxfD7dgCdDH8/BOAhv9+TcoPNaEb8MoiIyD3OpUhEREQUMAZcRERERAFjwEWusRGNiIgoMwy4iDLAfDYiIvKCARe5xiCDiIgoMwy4yLXm1vyc24yIiChsDLjItf1NLWEXITJY20dERF4w4CLX6hoYcBEREWWCARe5treRARcREVEmGHCRa/sYcBEREWWk6AMuxWQc1/Y1toZdhMhQHJWMiIg8YMDF66ZrdQ3NYRchMrjfEBGRFwy4wi5AHmEOFxERUWaKPuAi99oYnRIREWWk6AMu5nARERFR0BhwhV0AIiIiKngMuBhxERERUcCKPuAiygTjdCIi8qLoAy6Op0SZYM0oERF5wYCLF04iIiIKWNEHXERERERBY8BFREREFLCiD7jYpEiZYO4fERF5wYCLF04iIiIKWNEHXEQZYZxOREQeFH3AxSZFIiIiClrWAZeIKBH5m+Hv34jIQyLSXUR2iohoj39NW7af9nc3EakRkVCDPsZbREREFDQ/gp1GANeKyKHGB5VSuwFsBfAV7aFzAczVfgLAOQBmKaXafChDxjh5NREREQXNj4CrBcBQAL+yeG4aEgHWuQCeNv091Yf3z8r22sawi5AXOnUoDbsIkcIwnYiIvPCrOe8FAD8QkW6mx6ciEWAdBeB9AIO0v89FLCBLIiK3i0iFiFRUV1f7VDx7S7fWBv4eheCW88rCLkKkrN2xL+wiEBFRHvEl4FJK1QJ4HcAvTU9NA3CuiBwJYJ1SqgGAiEgXAGcAmGmxrqFKqUFKqUE9e/b0o3jkg/49OoVdhEhpY1M0heyt284OuwhE5IGfCevPALgVQGf9AaXUSgDdAXwTwHTt4UoAtyAWgO318f0zwsumOx3aFX2HVqJIYcxP5M3ehV/i/PPP9329N998Mx544AHH5Xy7iiqlagC8h1jQZTQDwF1IBFzTAdyNCORvkXsMuJLxYkdERF74fRX9G4BDTY9NBdAfQIX293TE8rlS8rfCwF6K7rQvZcBFFCWcJYMov2R9FVVKdTH8vl0p1Ukp9ZDhsSeUUh2UUvXa3+uUUqKUejvb96bcYQ1XMl7sKGy8VySy11JbjaqPHsXGZ2/Exr9/HzVjXgIQq2T5xS9+gW7duuGEE07A2LFjAQDjx4/HKaecEn/9JZdcgjPPPDP+99e//nV8/PHHAIC5c+di4MCBOOigg3DDDTegoaHBVZl4FSVXDmANVxJe7IiIokm1taLqg4fRrmsv9P3Zq+h35zB0+spgAMDMmTNx9NFHY8eOHXj44Ydx7bXXoqamBueccw5WrlyJHTt2oLm5GQsWLMCWLVtQV1eH+vp6VFRU4Otf/zqamppwzTXX4Ec/+hFqamrw3e9+Fx9++KGrcvEqSq60Zw1XEgZcFDbugkTWmrauQOveGvS48Cco6dAR0q4DOvY7CQDQq1cv3H333Wjfvj1uuOEGHH/88Rg5ciQOPPBAnHnmmZg0aRIqKytx2mmn4bzzzsPUqVMxY8YMHHvssTjkkEMwY8YMNDc3x9dx3XXXJdWEpdMuyA+dD3jhdKcDa7iScLehsDH/lMhaS+0OtOvWC1KSOmB33759oc04CAAYMGAAtmzZAgAoLy/HhAkT0K9fP5SXl6NHjx6YOHEiDjjgAJSXlwMAtmzZYrkON3gVJVeYw0VERPmgXddD0VJbDdXWmvLc5s2bk25WNmzYgMMPPxxAIuCaNGkSysvLUV5ejokTJ2LixInxgKtPnz6W63CDV1FypV2JOC9URFi7QGHjHkhkrUOf41DauQd2T3gNbU0NUC1NaNi0BABQVVWFZ599Fs3NzXj//fexdOlSXHHFFQCAc889F8uXL8esWbNw1lln4aSTTsL69esxc+ZMDB4cywH72te+hnbt2sXXMXz4cMyaNctVudikyNOWK8J4i4iI8oCUlKLXdX9AzZdDsfmlWwARdD6xHB16H42zzz4bK1euxKGHHorevXvjgw8+wCGHHAIA6Ny5MwYOHIiOHTuiQ4cOAGIB1uLFi9GrVy8AQIcOHTB8+HD89Kc/xQMPPIArrrgC1157ratyFX3ARURERIWlXdde6HVt6ujvUx9/GgDw/PPPW75u+vTpSX9/8MEHKcsMGjQIc+fO9Vymom9SZMsQEeUlnruI8krRB1xEmWCgTmFjOgRRfin6gIsXTiIiIgpa0QdcRJlg7QKFjTeLRPml6AMunrMoE23ccShkDLiI8kvRB1zkFseFMGpjxEVERB4UfcDFASwpE9xrKGzcB4nyS9EHXESZYKBOYeM+SJRfij7g4imLMsH9hsLGfZAovxR9wEWUiTbWLhARkQcMuIgywHiLiIi8YMDFCydlgAEXhY37IFF+YcBFlAEmLBMRkRdFH3BxxHDKBIfhovBxJyTKJ0UfcJE7wnFPiSKFlaxE+aXoAy6etCgT7KVIREReFH3ARZQJNilS2LgLEuWXog+4eNL0CAliAAAgAElEQVSiTDBpnsLGXZAovxR9wEWUCV7riIjIi6IPuHiXSJlgDheFjT2sifJL0QdcRJloYxIXhYwxP1F+CTTgEpEfi8gCEZkvIh+JyHoRKdGe6ywiG0WkfZBlIP+UcGiIuNqGlrCLQEREeSSwgEtETgLwAICLlFKnAbgVwDwA5doiVwEYrZRqNr3udhGpEJGK6urqoIoXx2p59675at+wi0BEmsHH9gy7CETkQZA1XBcBeF8ptQMAlFI1AN4FcIP2/Pe0v5MopYYqpQYppQb17MkTSlQIgK8c1jXsYhCRplsnNg4QeTHgkE6hvn+uc7g+BXCZiBwM4AwA43L8/imYB+EeR5snIqJ8Ffb1PsiAaxyA74rIIQAgIgcrpfYCmA3g7wBGKKVaA3x/IiIiokhoF9SKlVKLReRRABNFpBXAXAA3I9aM+D6AC4J6by9YwUVERERBCyzgAgCl1DAAw0yPfYBYShDlEQVA2KZIRER5KuxOchyHK+xG3TzCYSGIiIgyw4CLXGO8RURE+Srs+pWiD7hYv0VERFT4GHBR3mAOFxERUWYYcJFrjLeIiIgyU/QBV9hVjPlCKeZwERERZaroAy7ygFVcREREGSn6gEuxiouIiKjghX29L/qAi9xSbFIkIqK8FXb1StEHXGFvgHzCFkUiIqLMFH3ARe6VMOIiIqI8FXYGUdEHXGFvgHzCcIuIiCgzRR9wERERUeHj5NUhYwWXe2xRJCIiykzRB1zkTmzgU0ZcREREmWDARe4x3iIiojwVds520QdcYQ+Elk8YbxERUb4K+2pf9AEXuaMACJO4iIiIMsKAi4iIiApe2A1aDLjINdZvERERZaboA66wI958whZFIiKizBR9wEXuMeAiIqL8xYFPQxX2yLP5hONwERFRvgq7RavoAy5yRynWcBERUf4Ku3ql6AOusCNeIiIiKnxFH3CRexyHi4iIKDPtglqxiPwOwI0AWgG0AbgDwF8A9AFQry22Sil1XVBlcIMVXO4oKGZwERFR3gp7ZplAAi4R+RqAqwAMVEo1isihADpoT/9AKVURxPtSsFjBRURElJmgarj6ANihlGoEAKXUDiCaTVJPj1kRdhHyBnspEhERZSaoHK4vAPQXkRUi8qKIlBuee0tE5mn/njC/UERuF5EKEamorq4OqHgJh3Y5AMf06oKv9Oma8lz3Tu0Df/980bf7gTj36EM8v+7ui48NoDTBrZcoLBcc39Pza3gcELn3yDUnh/r+ElSbpoiUAvg6gAsRy98aAuBmAL9x26Q4aNAgVVHB1kciIiKKPhGpVEoNsnousKR5pVQrgAkAJojIQgA3BfVeRERERFEWSJOiiBwvIsa67tMBrA/ivYiIiIiiLqgari4AnhOR7gBaAKwCcDuADxDL4dKHhdihlLo4oDIQERERRUJgOVx+EJFq5KZm7FAAO3LwPuQet0n0cJtEE7dLNHG7RE8utskApZRlD5hIB1y5IiIVdkluFA5uk+jhNokmbpdo4naJnrC3Caf2ISIiIgoYAy4iIiKigDHgihkadgEoBbdJ9HCbRBO3SzRxu0RPqNuEOVxEREREAWMNFxEREVHAGHARERERBawgAy4R6S8i40VkiYgsFpG7tMcPFpExIrJS+9lDe/wEEZkuIo0i8hvTui4TkeUiskpEhoTxeQqBz9vkVRGpEpFFYXyWQuLXdrFbD3nn4zbpKCKzRGS+tp6Hw/pMhcDPc5j2fKmIzBWREbn+LIXC5+vKOhFZKCLzRCSQSZwLModLRPoA6KOUmiMiBwGoBHANYpNn1yilHteCpx5Kqd+KSC8AA7RldimlntTWUwpgBYBLAGwCMBvA95VSS3L+ofKcX9tEW9dgAHsBvK6UCnf69zzn47FiuR4eK975uE0EQGel1F4RaQ9gCoC7lFIzQvhYec/Pc5i2vnsADALQVSl1VS4/S6Hw+bqyDsAgpVRgA6MWZA2XUmqrUmqO9nsdgKUA+gK4GsAwbbFhiH3pUEpVKaVmA2g2reosAKuUUmuUUk0A3tHWQR75uE2glJoEoCYX5S50fm2XNOshj3zcJkoptVf7s732r/DusHPEz3OYiPQDcCWAl3NQ9ILl5zbJhYIMuIxEpAzAVwHMBNBbKbVVe2obgN4OL+8LYKPh703gRSRrWW4TCohf28W0HspCtttEa7aaB6AKwBilFLeJD3w4Vp4BcC+AtiDKV4x82CYKwBciUikitwdRxoIOuESkC4APAdytlKo1Pqdibam828sxbpNo8mu7pFsPeePHNlFKtSqlTgfQD8BZIsIm+Cxlu11E5CoAVUqpyuBKWVx8On+dr5QaCOByAHdqqSu+KtiAS8tZ+BDAW0qp4drD27U2X73tt8phNZsB9Df83U97jDLg0zYhn/m1XWzWQxnw+1hRSu0GMB7AZX6XtZj4tF3OA/AtLWfoHQAXicibARW54Pl1rCilNms/qwB8hFhKka8KMuDSkkVfAbBUKfWU4alPAdyk/X4TgE8cVjUbwLEicqSIdADwPW0d5JGP24R85Nd2SbMe8sjHbdJTRLprvx+IWOefZf6XuDj4tV2UUvcppfoppcoQu6aMU0r9MIAiFzwfj5XOWtI9RKQzgEsB+N8LXilVcP8AnI9YFeICAPO0f1cAOATAWAArAXwJ4GBt+cMQy8+qBbBb+72r9twViPVUXA3gd2F/tnz95/M2eRvAVsQSHzcBuDXsz5ev//zaLnbrCfvz5eM/H7fJqQDmautZBOAPYX+2fP7n5znMsM4LAIwI+7Pl6z8fj5WjAMzX/i0O6lpfkMNCEBEREUVJQTYpEhEREUUJAy4iIiKigDHgIiIiIgoYAy4iIiKigDHgIiIiIgoYAy4iIiKigDHgIiIiIgpYu7ALkM6hhx6qysrKwi4GERERkaPKysodSqmeVs9FOuAqKytDRUVF2MUgIiIiciQi6+2eY5MiERERUcAYcBEREREFjAEXRc6db83Br9+bH3YxiIiIfMOAiyJn5MKt+HDOprCLQURE5BsGXEREREQBY8BFREREFDAGXEREREQBY8BFREREFDAGXEREREQBY8BFREREFDAGXEREREQBY8BFREREFDAGXEREREQBY8BFREREFDAGXEREREQBY8BFREREFDAGXERERC4s3VqLsiEjsXbHvrCLQnmIARcREZELw+dsAgCMWbIt5JJQPmLARURE5EKbiv0sEQm3IJSXGHARERG50KZiEZcw4KIMMOAiIiJyQcVruMItB+UnBlxEREQuxGu4Qi4H5ScGXEREIVqxvQ4trW1hF4NciNdwsYqLMsCAi4goJKur9+LSpyfhb2NWhF0UcoE5XJQNBlwUWUMnrcamXfvDLgZRYLbXNgAA5m7YFXJJyI025nBRFhhwUWT9+bNluOXfs8MuBlFgFIcZyCsqnsPF7ZUPpq3agXvenRd2MeIYcIVs6556vDB+VfxApmT7m1rDLgJRYBJNVCEXhFxhL8X8cuPLMzF87uawixHHgCtkP3ujEk+MXo7V1XvDLkok8UJEhYw1XPlFD5DttldLaxumrtqRyyJRHmHAFbK9jS1hFyHSeCGiQsYk7Pyi53DZba5nx63CD16eiWmrGXRRKgZcIUscwDzhWmHVPRUyvYaLu3l+UA4Bst5SsXNvU87KRPkj64BLREpFZK6IjND+PlJEZorIKhF5V0Q6aI8foP29Snu+LNv3LgROVdTFjoEoFTIF/fgPuSDkip5pa7e9FM/nlIYfNVx3AVhq+PsvAJ5WSh0DYBeAW7XHbwWwS3v8aW25oqcHXKU8QC3xa6FC1qaNd8obi/zgdIOsb08G0NESlU5pWQVcItIPwJUAXtb+FgAXAfhAW2QYgGu036/W/ob2/DeEZxnDCTfcckQV7xSpkDnVmFC0OOVwsdcppZNtDdczAO4FoM9LcQiA3UopPRN8E4C+2u99AWwEAO35PdryRS1eBc0zriV+LVTIWtuYNJ9PnGq49ACa25OsZBxwichVAKqUUpU+lgcicruIVIhIRXV1tZ+rjiSOXJwea7iokCVyfjJfx/EPfI6nOTVQTiiHGizmcIWnbMhIPDJiSdjFSCubGq7zAHxLRNYBeAexpsS/A+guIu20ZfoB0Ecd2wygPwBoz3cDsNO8UqXUUKXUIKXUoJ49e2ZRvPzApPn0eKdIhSzRpJj5ft7Y0oa/j13pT4EoLadx03gDHa5XpqwNuwhpZRxwKaXuU0r1U0qVAfgegHFKqR8AGA/gOm2xmwB8ov3+qfY3tOfHqahksoWojd3Ck5h3CX4vVMh4w5Vf2hxqJLk9oykqkUYQ43D9FsA9IrIKsRytV7THXwFwiPb4PQCGBPDeeYgRl5H5wCjhSHFUwNriST+hFoNccho3kdszHPlSd9POeRFnSqkJACZov68BcJbFMg0AvuvH+xWSRA0Xj1AgcYeo450iFTK3OT/b9jSgRIBeXTvmolhkIzF5dfrned7Krbb8iLc40nzYzAFGsTMfOMzhio59jS2YxnnifOV2MuRzHhuLs/48NvgCUVpOOVyc3Doc+XIdZcAVsrZ8Cc1zRMFcwxVSQSjFPe/Nw40vz8TWPfVhF6VgtDnUmFC0xHO0bK6czOEKBwMuciVP9pOcMX8ffpy2NtbsR9mQkZi5JqVTLHmwfFsdAKC+qTXkkhQOpxoT59fzBJJLzjlcDKDD4MdhUFZWhi+//DL7FaXBgCtk+RKZ50oQOVzTV8cCrQ8qN2W9rmLmxxAGlCwxMnmmAZefpSEnTgGVcgjIKBhOvUejcpgw4AoZWxSTmb8PPy7urOb3Rybf419HLcO01cz7spO4QGf2et6whYM5XNHSlmVNsdGAAQNQWRkbz/2tt96CiGDx4sUAgFdeeQXXXBObrXDWrFkYNGgQunbtit69e+Oee+5xXDcDrpC18oSZJGUcLgFGLdqGoZNWZ7zO+MHIvT0rmcz7+eKE1bjxXzODKVAB0HMWM71A84Yttxwnr+ZUbaHwcw7L8vJyTJgwAQAwceJEHHXUUZg0aVL87/LycgDAXXfdhbvuugu1tbVYvXo1rr/+esd18xIUMj3AMCeLFyurGq6fvVmJP3+2LIt1cnAcPzhNa0LeZXtnzvNGbuk3Hc4Dn+aoQAQAUPGbwey/+PLyckycOBEAMHnyZNx3333xv40BV/v27bFq1Srs2LEDXbp0wTnnnOO4bgZcIWMFVzJzDZcftVKJ3KPs11XMmMPlv3zL4frVu/NQNmRkbt80QuI3b7YBl/5b6gKTVlTjxn/NYM/0APjZWaG8vByTJ0/G1q1b0draiuuvvx5Tp07FunXrsGfPHpx++ukAYs2LK1aswAknnIAzzzwTI0aMcFy3LwOfUuaYg5EsZRwuHw4hDkboD+bC+S/bufdyef5QSuGjuZudFyxg8a/b5mtPd3P387fmYG9jC/Y2taBrx/ZBFK9oWZ2bKtbVxH+PXQPcHWTHHHMMOnXqhOeeew6DBw9G165dcdhhh2Ho0KE4//zzUaLVAhx77LF4++230dbWhuHDh+O6667Dzp3pe8KzhitkvNlJZpXDlS39jpI1XNkJemLeuRt24bgHPseOvY3BvEEEZdtMm8vzx8QV1bl7s4hyasJNd3PHGxb/mK8TVuem6/4xPeP1l5eX4/nnn483H15wwQVJfwPAm2++ierqapSUlKB79+6x93dokmHARZESTC/F2E921c6OcmhOydbQSWvQ1NKGmWtqnBcuEPpXumlXPa57aRq21zZ4en0ua7jqGlpy9l5R5RTgpguqwujBuG7HPizdWpu7N8yBMUu248j7PsOK7XXxx1SWTfNm5eXlqKurw+DBgy3/BoBRo0bhpJNOQpcuXXDXXXfhnXfewYEHHph2vWxSpEDt2teEX74zF09dfzp6HnSA4/IpOVw+HD/xlPks1rVkSy0GHNIJnQ8o3kPG7SCdlet3oX+PAz3P+1eMXer1C/SE5bHao7P/PBbrHr/S9euzHVbCC6Y/OH8H6XryJvKMcreDX/DkBADwtE9F3ahF2wAA8zfuxnG9DwJgvKnOfL3r1q2L/37HHXfgjjvuiP991VVXpVyb3nzzTc/vwRoug+21Ddiwc3/YxSgob85Yj8krd+C1aWtdLR9EDVe2OVyNLa244tnJ+NmblVmXJZ+5TUz9zkvTcOkzkzyPgp5tAnk+yrZJkPmJuaVvL7vNlm5z+nHjR9a1Wfkywn/x3q5bOFubHLaQ7gbC1tASmwamY7tSV8ubcyR8yeHK8mBsbo29fs76XdkXJo95aZrdvb/ZczDhx11qvsl2ap6g8+qS34s1XE7dQtNtT07D5A+rjgn5Mv4Za7hyrKquAWt37Au7GDnT2ByrY+/Y3l3AldJL0ZcartjPTA9GJrvGeL3ger9AF9/3nO01OJfNVHpzWTFzm8OVyWvJHatBTp3SHaLy1bOGK8fOetSmFi0qe4TP9BquA9q7i+3NY9T4ccOSbc2JymCE9YLkucbKa4AW+xnxm1RfZVtrxByu3HLM4dKbHC0WYw2XP6yCq3xpUmQNF3myZXc9Ri3a6nr5Br2Gy22TYiC9FLOrOcmX6mo/LdtWmzLZt9cLbrrF52zYhc8XJu9Hfk7PkS+yvQTnMoeL8UL6gCr2uHMNF7/H7Fidh/KlJzpruMiTa16Yiqq6Rtd5bo0tsYDLbQ2XOYfLeCFRSmF19T4c06uLy9ImXgdkfvfTWoRNipc9MxkAcN0Z/eKPec/Jsn/BtS9OA5Bc06vy5KTpp2xrjXJZK8hphJxrqRhMBS+Rw2VRwxXxUwdruCKiqTU/EiSq6rwNStnQrDUp2tRwbdi5Hxc8MR5V2vhDqTlcid9fmbIWFz81EfM27vZUBrfDGdgx15DVNTRj0eY9Ga0ral6evMb195lpE6H75YsvsPUthysH3xlzkJy3F5tdg2c1WHCipjeMErnHgCsibn2tIuwiBCIecJlquG5/vQK/fm8+hk1fh3U79+PT+VsApJ6wjBeSORtivQQ376r3VIZsawHM40Pd9OosXPXclMxWFjF/GrkU17ww1dWynlPgM2yCjPg501fZzquXy6EGijWYaG1TeGTEEmzZXe86h4uCY53DlfqY1WvCxibFiFhuGDW3kOhNiubD4Isl2wEAt5xXFnteO1DSDXyq95LyGjhlWguwqqoOR/fsklLzMmeDtxq2QuF9XK3YT7dfuyrCXorZXqD1gC0X31ixBhOz19XglSlrsXRrrWPApe/D6Zpf2TSbHasEeSbNEwFo1Gq47Jhrj9IlzWfaTp/JfHUz1+zExU9NwpszNxRl7zkrXi+4XhO6Mw2oo+i3HyzADf90nsvNr16KOenQEZVqghzTg1qlEl+BXdBUpF9RTlnleiZG+Lc/Dtbv3Jc0HVAYGHBRoPQaLrvzkLn2KF0OV6Y9UaySLJ2s0cZKW7x5T6IWoYhqXqwEPcxDWwG1Kb5bsREz1zrPCZnt9TmXd/bFWsNlrKl1+goYcAXPqubczc34X0Ytw51vzQmwZM4YcFGgGhxquBIBV/LfOnMvRfNjbpjfw8trRIy1CJ7etuDE7+5dXlW8NuVmEhjnu2zHZsrld1asOVzGpm7nHK7i/I5yYdyy7djb2AKrAZLdjEfX1hZ+L0bmcFGg9BouO+Zaq5Sk+aRlM+uJkknNWKIYUpTDQmTKGEB43V7FOC8geylGn7FGxW3AlW4xxmTebdi5Hz95rQL/c1LvxPYwPO+mh7OCCv3cUuT37BS0eMBlc5IxX2TT53ClPuaG8e7nw8pN+NsXy128JhEs6AdzaREFApkyXpQTLYQuc7g8JtkXAjc1Im7m58s0hWtfYwvKhox0NZhxsY6UbpwsWc8Vsh/4NEeFcmFjzf6wi+CbusZmAMD6nfsT+7wheon31rV5vYJCmwo/LYQBFwXKsUnRlCidEnAZ9tBsk+ZLRPDr9+fjuXGrHF9jDO4ySbovVsaLcmtbpjVcvhcrstzUGqVbJtsgdYN2UX56zErHZaMUTOSSXWrh3sYWPD1mBVoMYyhGqRbw3dkbk/7esHM/9jW2hFSa7BiHgmizuJFzVcOlVOjnFgZcAOZu2IX9Tfm5I0ad+xwumyZFi3b6XORwJddwZfa+URdEjYVxjV4HMk1crArre07HzRAB6WrBsh3U103ui5tyFLJEDlfyd/DEqGX4+9iV+O+CLYllI/QdmfetwU+Mx49fnRVSabJjzKON12ZZDHya7tTRpsI/h2cccIlIfxEZLyJLRGSxiNylPX6wiIwRkZXazx7a4yIiz4rIKhFZICID/foQ2di1rwnffnEa7n5nXmDvsXjLHuza1xTY+qMsPn+YzYXFfIeemjSf+F1fh9djxuqOyPVrDImyYR+sfgvibty4/bwOWVCMNVxurs/pAh32UgxeohY+OWl+X1PsZrK5JTVvMZ1cfY1WRalcvytH7+4v4znY2MSrc9PBuU2p0FspsqnhagHwa6XUiQDOAXCniJwIYAiAsUqpYwGM1f4GgMsBHKv9ux3AS1m8t2/2aTVbQU7VcuWzU3DtS9MCW38+M+dwraram/R8Ug6XduKrrW/BuGXbPbxH7KeXgy2ppiY+xkvyMvubWrCnvtn9SiPG7uKQzV268aWemxS1n2HnWeSSm5Hm29L0O8k2ad7LIJzFNmDn6uq9uPW12ajXaulFjDeQ1ucV4/Nhi0IZ/GLcz81jN8aeR/x5Oyqfc7iUUluVUnO03+sALAXQF8DVAIZpiw0DcI32+9UAXlcxMwB0F5E+GZfcJ1aDqAVhrTauU7Gyu4bHewBqe+L/fbAg6Xmrnih3/mcOfvJaBfbstw92nh27Emc++mXS67zUUBkDQbvXX/TkRJz28Beu1xk1dtskm5oM4zrjnQ1c13DFfhZPuOU2h8u5STHT05eX81+EWsty4oGPFmHssirMXhcbT814sQdgU9MSnS+pkJqAjT0TE7W6qd+7bdK8ir0u7NpzX3K4RKQMwFcBzATQWymld3nZBqC39ntfAMYsvk3aY6HiGEvhcsqPsqo21rWmOaE8NWYFqrWJtt02VZ3y4Gi8MmWtVq7UvA3zPrJNm3A7X9mdkFuziLiMtSBeh+NwmtrnnVkbsHt/YTXNu7koBpnDpXPz6igFE7mg7496HmqJJH8H+m9JaQ9R+oqiVJYsGc/h6WoWE73dUz+8yuccLp2IdAHwIYC7lVK1xudU7FN72uwicruIVIhIRXV1dbbFc2QVLVPuONU+WU3tk3jO7XvEfjpd+OsaW/DIiCUAkg9qvy5qUWN1cWhqacNfRy3LeJ3GWM1rZwW7plsAWLq1FkOGL8Q9781PeW57Hge+boKY9L0U/cl7c5c0n9175Bt907xXsQlAag6XVa/pbIf58JPxXfI9WE7qNW6Ry2vuSW71cfO+hktE2iMWbL2llBquPbxdbyrUflZpj28G0N/w8n7aY0mUUkOVUoOUUoN69uyZTfFcserx4IdMez3O27g7r/OCjJLuBm2O9/U7Y02t9gFX4veUgMvF0bN1T338AB06aY3j8rrE3asg2zyZqLK6OLwzewNe1mr53Khvak1q2rUa+NTt+GX68v+ctAa3DatIfh+tlqHG1PlkzoZdOPvPY/Fh5SbXZY4SN5fBdBfLbDt0eLkOF1ITlRvmT2vM4QKsb8TiOVwR+K6Sj8UQC+ID435u1QnK/PGs9tU2pUKvWMmml6IAeAXAUqXUU4anPgVwk/b7TQA+MTz+Y6234jkA9hiaHkMTxOjWU1ftwIl/GI3pq3d6OvCUUrjmhan48SszfStLruzc24i3Z22I/71g026MX16V5hUxizbHKkVLbfZEY1CVyUnja4+Nw5z1uwEAm3fX2y5n3k7GIEt/XzcJzvnE6tP84ZPFntbxP89Mwml/TOSxGdfpZkJZK/+dvwVfLk3uFGHXLLxsa2wy2or1zvMWRpG7JkUXz2Waw+Wh52+B7f6OzOcEY49lpZTltotSxwKrfMp8lVSbGA90rZ7XhxdKXUcsaT7IUjrLZmqf8wD8CMBCEdHHVLgfwOMA3hORWwGsB3C99txnAK4AsArAfgC3ZPHevvFrdOsRC7bgF/+Zixn3fQPTV+8EAFSsq8HZRx7seh36MTF/U3A9JoNy53/mYMaaGpxz1CE48tDO+NbzUz293u6ibHzUfAy5PYeYez5aMR+gxp4w+ol3YYA9WcPgx0l4g2k0a2XoUWeX+/aL/1hPIJt++IPYT/ONUb7XPmabNA+HvDe3XN355/lF2yvzx61vakVdQ6LlItE6kt1NYVCSmxRDK4Y/DMd/s0W3XXOHG8tgWLnvwBOUbHopTlFKiVLqVKXU6dq/z5RSO5VS31BKHauUulgpVaMtr5RSdyqljlZKnaKUqnB6j9zQc7gS2toUHv7vYmzY6X5qhHdmxfoDrNhelxSNGzd8pcNdeD7fhegJ6q02fdiNn6xsyMiU590lzQf3/Zi/e702y9yMUEhU+mkuM1tnUtK8dZPiiAXWFdtpa3LarAMLp95JUZdul77upWm48z9zkvbNCcurcP5fxsUTua3mlfPr/c2sts+tr83G8Q98nuG7R5v5445bVmW5QNJNoZscrqxK5Z5Vvlm+MvZmt/okxpu7d2ZtwAm/H2W5TNid44q+b57VnfPiLbX499R1+H9vW9+JW69Hu7iUSNKdj7En3Xdemu6qLPl4s+6me3ldQ7NtQrbdjUe6HC4/z1zmBNhES41k1WsvyoJo/khOmo/9LHERNFeu34XaNLmL+rpmrUu+aTHm2uWjdBfoivW7MHLB1qSg6OH/LsGmXfXYojWP2wWirt9f+5npSPNjl1U5TlCfr5yCFP34MdZ6RelUkTyERTDv8en8LfggB/mTxnNJvFnX8Hyihkvwxoz1Nuvg5NWhs+ppsniL96Yj43rc7ujmC7myqG3z26qqvYFMauqUvFuzrxF/GrEUL05Ybfm8XQJ8ck+U5OfcBgxuljm6kMoAACAASURBVNPXrRRw+h+/iO8D5q7g+WDDzv1YXe3cjHr6H8f4/t7G3kKtbanHltUFqaG5Fd95aRqqtFpSK3YXv0TAkWGBc2DP/mbb2nI3u5ZVTUWJKVcl2+uIm5dHKZjIhXTbRhmev/+jhfHHrYKBKAiqhuuXb8/Fb95P7TnsN+OYZ1YfxZiLaPdRo7D/ZpPDVRCsepoMGR47gLzkhRinfzCOJ5RuR//72OQJY1ds2+v5fb26+KmJAIB1j1/p63oTdyDWz//2w4XWT0B/nfNnzvSAieWnpH+xcTvt3t+M0YtjSdvGpPl8MfiJ8QD838ZuGGuc9JNkaVLHh9Qvs8XNaOt2AZeLmtWwXfrMRGyvbbTcHl6T5s0BV+JCk2kvRfcRW5QSwnPB6dPa5QkBQFVtA1pa29DOrjdQDlj1GM5XVjm1SZ0C9A46sP+sCuHXhBd9DVe6/dBLgl1Sk6LhHJbuWjJv4+6kv7/5/JTY61y/a/j02eez7Z7uZugAc02Tn+cQu+3kFDRTMuPcflZNitYXKfc1kCmPaz8jHG9he226mjvn1xt7x5rHKjNeiDKRaDoHNu3aj5Xb6+yXjfhhsGxbLUYt2ubb+lJ7KZqft3/tz96cg8c+t06fyNX3aHybfLtpNEuaS9Hi+fhjaaf2yfNxuApBukChRIB/TlyNF8av8rCe5ETetD2vbI6CsKNwXVubwsuT12Bvo/WYYv+dvwUnPTgaS7bUZj3FiN2BkK5rs5/nELvtZO74QA4MQVaiSdGYw5X6Erv9y8huVoEghnXJJa/Bpr78d16ahhcnrMIPXo4NIZPt1D4AcP5fxuOSpyfZLhv1YVEue2YyfvZmpS/rmrdxNxY49BZ3+jomuBgWJ0hW+02+sprax6qDzvyNu+MdSoyUYg5XJKQLFEpE8Njny/DE6OVJj386fwvWmHJkWg1NG0k1XGmOSttk7IhcO8Ytq8KfRi7FoyOXWj4/Vhsrafn22qxruNwMYhrkOcOux54E/L5R4Oc5yDguVKJJ0fh86pf51BcrHNebPIhu6ok2IoeMZ16n9tG/36q6RrwyeW38cbeDy6ZKzbOzL4fhVQV+UDjeZKv4f7bCvri3JR0zsZ/GIu1zcaMTFVaTVxsZ98d1NvmSbW3hpx4w4Eozjo3dAfPLt+fGc6Hi69E2+G/emx8fqds4Kq4V21oVx1Lnxj5ttHyrA1MpFQ8y003w7Ja7HK7k72usaXDMbNhti5KSwmxSNJ6g/Nzf9OOpqaXNpkkx9TX1FnekZsbRRqw6pbgJ2KPITaXRT4bNNiyfeMFOw6j7TheS2oZm3PvBfNvaRHdJ85kdB1t21+OUB0djVZV9c2XUWAWU5u/I6esIO+AyMt+YjFq0DSc9OBrzTWktUWUc+Dh+zFicB9JpUyr01IOiD7h27o2dtKzO1+lyuIwnyt9/vChe/bxmxz7TcmmaFNM0Y0VBS2siL82KXntXWiJwSpp3YveZjd/Q6urk7/b/PliQ2ZtZsNsWizbvKchhIYwf18+7PuNX1Wq4K40/ZvFdeu2pZ5WbEpVjxis3e9Yaw35vn2uYfh3/nLga71VswmtT1yY9num9hJfXfbZwK+oaW/C2NlZhVH39r+PwW+2cYjlSuelvpwDUtqlce1ljS6tl85edO/8zB18ucb7J3LO/GXvqmy2PEz0InLQyNk/xgjwZzDlpLkWL793tKTrs+7KiD7hueS1292h1cLg9iduN+2GcCsKK3YU87PmedPoF0y7g0stfajgIMr14+/mJm0zjArnpXWV3wH6+aFveJ5xaMe6X6U5Ci7fsQXOr+3GWrOdStH7eqix27JqzPp2/BUB0jhmvvNYa2TXlOdWm2PXmjLcAZ1DD7JZfE2wHZe6GXbjxXzOwsaYe71bEgkI/BjBtcjhuzv/LeMsBOu2MXLAVt73uPF74aX/8Aqc9/IVlM7y5s0VEN0kKq1kr6hpbEj0WXZ3jmcMVGVYnnGynARAkN4WYtdrsI1G5WzcGVFYSB0FwQyc4nfesTozVe5N7hVldjLftaXBcj9VzCzZFqwq+qrYBJ/5hFBZ5vFM1bq90wcqVz07BY58l97ZKt0msEnWdmhTd1CAqixquhZv2YOnWWu09HFcRusr1NSnzi3rNhbJt+nYMuNLnanltUvRSartpmfwwd8Ou+CwXmbr3gwWYpk3HpnM35VL659s77JR6uQc+MgYTV1SnPP/KlLW46rnJzgWxkdzhKPbTfJ2LyrXGiTKUX//9jjcq8YqWvuN2ezHgioh2FgeH+aLsVV1Di+0Jcp8hOjeLyjEQD7hK7QKu2E+7al4v6hpbLKf8yYSb3lTXvJA816OrCYIBz3NEBm388irsb2rFsGnrPL0uab902OG8BJnG1bYaxqazfN/4Y+nXWdfQnNRLUf+1tiExMn3YJ1I3vvPSdNzy79lJj3k9bHbttx6N33HKkniNhqmGy+X7K6XSjiie7lwZ5HyX335xGr753JSMXnvaw1/gTyOWWPaAdTPKvPGcZ9wXdW7H4KrZ12Q5A8cjI5Zg0eZaV+uwLGNSwJWcw/X2rA0ZrzcMxhxh47YZvTg2DIjT9UdBMYcrSqxqs5Ztyy7J8+kvV9geuCc9ONq+STHsvULjVMOl7+RzN+zKeoiGTbvqLR+ftnpH2tdtrKlH2ZCR+K/WtBQrl/P7battSGoKziTXLgr0oMZrbazxMzm90kswY9VVO3mkeascLvvvt6quAac89AWeH5foNaa/h/H4icgh45nV91E2ZGRKs7gTp22UaDo0Pe5Q86WbsLwaDc2JMpm32TmPjU05n1XVNqChuTXrscKcbKvN7MZ4T30zXp6y1nXQma74rRbNFVY38YB185fdsvHXZHAOsqqRzNfjxLgPGb8J/Vrp5utRKvxrKwMuTVDbId2OYBdw7dVqe/akmVsuF/QRwG2T5rUP9+KE1dmP0WPzRTmNhbNka+z5T+YlAi63AdLvP14UH3w2bwMuQ7OuF8bNFR+13IdOHFa5VslzKVq9xv773bo7djE13vzoixtrJsI+kWbK7rDx2mXfKeA29vKyYtWsPHFFdXwaMDfnIvP+c9afx+KE34+KnxtGLfZvUFI/WZ2HrfbJlPw3p9NCmk1i/q6cjt9sT6/6NjBv5yjmPtY3tWLgI2OSmt+TB1ROfBl6ZYCbczQHPo0QNzve/I27M8iVyfxCvmmX/3MeGtU1NGPaKvsapFYtAa29Q5MikP1YVZm+3KqXmpcA6ZoXpmLqqh15O9ZWm0MtpO3rkoIV/THrZb2s2nghiTcpOozDZfe+w6atSzvtjzHIz/ZE+o+Jq30dZsQtu/3Oa/zoFHAmBo60Tpq3Ov3d9OosfEMb/sZcK+PlcNGXNfa2/P3Hi/C/Pg1Smi3LfdJFBaPxO7H6+tPWiJn2a6fjN5ObPuMrlMV50urvKFizY6/WzJoY/zIpD9B4s6idW5y+nlVVe5nDFSXrTMM5WLn6ham4ymO+QLqEYMekS5/m4VJKoXJ9Tcpd1c/fmoMbX56JXYbxfIwSNVyp5VDKPCBjdhFLpjVkVr1ths/Z7GkdW3bXpy2/eTiKKGl1qIW0Y/y+9Ve6TciurW+2HVMp3bx/5ufNy5k9+OliVFk0F8VruJI+Q3Yn0sc/X4Zbhzn3APNL5foavDVzvW2t4uSV6ZvSzZw2v90F16m3WlNLG6at2oF3ZycP6WA5vIfNOqy27xsz1uNz0zQ8Dc2taGxxP0yCX6w2gVOvN6Wcg7J0QbB57U7Hr/E7bHHZazjdpOfZWr9zX2CD31rtk8Y8wOQe1u5quL71/FTmcEVJXUCj7q5Jc7F2CjKy7SWp+6ByE77z0nSMXLg16fHFW2IJmXbTpuh5CXb5BVYjYGfqof8uyeh1/5i4GkBikFYAeL8y+eLgdPIsdehl+axpkvEoyfREmtRL0eGktduUqH39P2fg4qdSp4CZuKIan8xLBLuWAZfL5hvd/741x/Y5t0NbRM2rU9biOy9Nx+8+WmS7Z/51tPU8fHacc7jcH6C79zfhz58lZpe48eWZmLGmJmmZX/wndbvYbUa354YTfj8KZ/95rOtyGtndNOqWbKlF5foay+fM+9+stTUpnxewGPjUWMNlEbJusBnx3HyzCqSe680DkhoXHz7X5Q2lxc2PuZRuDpuW1jbc+8F8rNUqJeZs2IXyJybgzZnBJN5b3RwYm8SN35z+vbnN4WINVx77ZN5mx551xkDALF1zCeCcSOnWyqrYNETmxHT9TsnufRxzuAw3WmHlOS3Umnhr6xPfc4vdeBs25m7YjRlrdjovGEH6Nmpn0+xrZfm2OtQZelWZx+YxW7I1uafUjr2p3fA3767HTa/OwnOG5Hbj+Et/+GQRXptqnaDsdWDZRNJ84rEwRppfuGlPRpMl/3FE4ubC7rNvrLHuRGJn/PIqlA0Ziaq6RI3gT1+vwGfaTVYi6djcpKjXHCSXb+ikNWnf78ulqfME2gV1XmpCzMF9Osb1Pu8wFc8Vz07Gd16abvmceRt8mKY3plFSSoXFZ083Dpf5K9mxtxH1TbHavSVbanF1Si/qxAsaXXaoML6FccotIzfxx7yNu/FexSb8+r15AGLNcwAwb0OwQ+Qkp4nEfpaWWNdwuR2HK+z7MgZcWbjrnXlZvd6pari0RFw1ddrZsrsem3btj/d4MjdR6hdru4uVU3OV1VxdYTEGHDtNd7tOZXtjxvqUJpN8ka6Gy27/+p9nJuGmV2fF/9Zfmc02PO/xcallM/SgfH36ejz0X5su+N465FkmzQdtX2ML/vjfJUkjg3/z+Sn42ZuVWF29F8fc/1lGx6pfNyr6avRaawAYs2Q7fq7VENr2RrTI7XJ7QR86abXtc9MN41oFdTOWNKtBFlXs5pfaBo7m1xle6PT25vKZv5IV2/fix6/GJiLfXpfajL5ldyIAd5uvaQxI9fHqoICfvZHInatrcG7Z0feHju1Lk9brU8ZLCvP3X9vQHL9WiSR/d/qlyc3mZw1XkXOq4fpyyXZc8OSEjO6iAeDcx8fh/L+MR4t2RetgqgXRa4LsdsFm7XXtSgUba/bj528lJ7kad3ynUZWDlq420M2FeZ6Pc4o9N3Ylxi9L1ACs3RFcvoN+0tc//tY9iRNzg+HCuW7HPuzc2xgvh3GCV6cmxUxZTe1j9R5eAyd9aWW6052xZieufXEqmlvbsu81a/L8+FV4depavGkxq8SHlZvQ0qYwYsEWi1em5/d33tjclnRx1unv0tzahrvfmZu0n6Qs67JMfzYPiKu9bMfeRvxpZKIWLymvr03h8c+9NZfaMX53XmZDMDN/XrcX7+Sx4axf1NDcivqm1qRhTWLvkbr87HW7bNdlbMJ3W5m70dCi8f/engsgljpj7C36p5FLU15npufVHdAuFi4EOZAtkFwbW9fQjFMf+gKPa03c5smrvQwL0aaU83h1AWPA5dL6nf4nTjvdlU3QRh9+ZERm+U265pbY+5hruJodqhbicymK4J735uGzhcmBX5SGS0iXNJ3rYv5tzIr4lFGz1tbgwicn4C+GHjcLNu3GHz5ZlDwNToYBgnkcLuNwAsYT8wVPTsAFT0ywvJgkein6HHDpzZ2GglhdTCrX7/K0Xn0dxuOnRIDfvD8fczbsxq/enYej7v8Mq6rqPA9ePMUmWV1vgrVKhI631mRwAfJ7ns6fvVmJcy1qG/WvfezSKnw8bwv+qOVMJsqeWHZ/U2aJ6/cNX4gV2+vwk9dmJ9W0GferWetq4nmXdvbUN+OlCavTfjdjl27Hsb/7PP53Nt+j2xpx89Z1U8N1/l/G4St/GIXFWxK92xUceq87xI7GQGfZtlr87qOFaGtTeGL0sqRe516PK7OafU1QSqFRG3/tgHaxGi79ux4dwDAfrW0Kj+rBFYBarQZun7ZPlkjyOcTLsBBtKvzhYxhwuVT+xATf1+lUwzVheSzg2qzdsSqlULHOOvETiN3lvTB+VcqEqHpgtdAwpEXFupr4icWuFHqT1OvT18fvvowsB7HMegjU/GYOKFZsj/Xm+8fE1fGJZ783dAZen74+fhIZvXgbjrr/M7wyZS3KhoxMOjnrmlraLJNwzaN4p5uyp66xxfLClOil6OIDerByeyzXwzji9qfzvNcCmenFNH6WEQu2xnMURyyI5S1d/NQknPNYchL2p/O3oMZ0gTWu54evzLR8zzdnxBKE9SFS9hhyjbKJU3M1T6d+XOplNScbG69D5oRttz6auxn/+2Zl6th5hs9ozq986ovlKTVev/94Ef4yahmOvv8z2/d6fXpyTWOzx7zNdNyew4w1XC9PWWM5I8OOvbF9zbydd+2zz1Uzn1fNx6y+rWobmnHZM5Px1swN2LKnHi+MX40bX7bef71aVVWHgY+MwZNfLMcaral8fc1+1DY0x3sO2816kI3JK6sxa612jbOYweTNGRuwxXATldiPnbcZx+EqArYzxsPdYIJGb8xYj+v+MR2/+2ghPrboqfLOrA14YvRy3PXO3KSpJvRhEt4y9Cq57h+JBNK6hpakZFsAuOCJ8RimndQ2767HWWUHJz2v4P/deTb0k6SfTYNunfLg6HiQa7zY1De1Yr+h08TMtbG8Fv2i84N/zcBjny3FHVpOhV6TaZVPNuTDBRj8xPiUATETE0S7u9Oz6nEZv+vzeXO+OnUtgOQ55Z41Na0Y80nc0j+i8bMudDE+3t3vzMUv356LO009H52aozYbmujaaW0S+5szn+zeyOsAp27ZNZPp39kGbUDTzxcl91wGsruQWg2hstEwnqA5mHl23KqUGq9PDbNG/Ec7Zxlrk376ekXK3INez6VpL9B2NVym7Wvcbf45cU3aab+M7/d+xUYMfmK85XL1Ta0pwdlSU6cVvYbr3vcXxB/Tb84zMWXlDlz69MSkzjD6zdIL41fjidHL4+W46MkJKcew7qO5m+Jl3by7HnM3eK9hMwbk8zfudryZ8XLqiiXNs4aroP3uo0W+rWu5Ntr2WzM34O53Ewn7bW0Ku/c3YW+jXmOyHTcbkqKdlP91PM56dGxScLDOVJty2cmHJf395BfLMd9hFPhc0g9M8xyJuVDX2BI/0dQbahe/8odRSXku/5q8Fsc98Hk8323+pj34p0VvsLU79qVU14/RBuXcU98cD+7WVO+NB7363baxOcLqTv0NixykEhdNijf8M7WH15It7uZ5S9eDMpPRx3/93jyMWLAFWz02F36s1a5tr2vAvsYWvDd7I6at3pFS07xo856kQMg4IKr+WYxfVbynXwYn88Uuv0Ov7JK0K7RmpgWb9uC92RvjN2FBXoiMqQhTV1n3Bn7CZhiM+z9aiIkrqnHU/Z/Fm8jGLEkdoHa7xXhtW/fU2wa0GcRbKd+RlzQA45KTVtoHRyc+OCqlBOaxH+dv2o3WNpV07DzwcebXmefHr8SK7XsxQgt0735nLv49bZ3lsnqNndn+phb86t35uPzvscm2z3t8HL794rSMy6RzCrj0Gi4326K1Lfwarnbhvj15Yb4gfjJvM7btacBuLefhmtMPjz83x0OXXf2Cc+O/ZuLjO8+zXKZDuxJ07dgu3qb+b632gmK+/eI03D74KMfu9OnmyCuRWE3E5JU7MHnlDix46FI0NLdi/c798d5E5z4+Dj0POgDVdclDMzw7diXuueQ4x56j1kGVc+3YzLWpTdlXPDvZdnkjc1mz9eXSKsthCezc/O9ZSTUApSL49otTsUK7i3/rtrOTlr/quSk46fCu+PQX56O0RJKCl/algjdnrMeBWo8tIDGMgFUNl18Tsntlvv5YJcnf+2GihmS+hwnKs2GXv/XCePu8Lr1H7Yw1O21zac0DpjY0t+Jrj43DCYcdhFF3D05ZPt2+blf7ZewYpOCts4ex5tsu6Iy9t3Mz8+vT19vOPeuHjzNo9jeO22ZVY6yUwpH3fYb/+5/jIQKUH9cTJx3eLWmZtrbUW8S3Z6cf6ysxLISzKORwMeDKI+a7VvOwFJkcKEbzNu7GKQ+Oxvj/uyDluXYlgh6dO8QDLrvmxPMeH4cLj++VVTkyUZFlgqgfnIItJ+avdPBfx1uOS5QugEmuebFaIPWh3ftjybFBtRCPz6K5ww/m5hZ9XDrdDyzyXhZvqcVtw2bj37eclfS9tCspwQMfz09aVr/rb2ppw+SV1Za9BHMtedymVscmJzfDA4StRAT3vDff8jk9eAZiF+7vDZ0BIDYHpzGt47jffY4nvnsqLj+5j+37uD0MvHQysRq7zo6b0fZnW9wAZcpqkFevjM3Qt1nM2DB6caxWUm+efGL0cqx97MqkZY66/zN07Zgckrw0IX0HC/1Yc3PuSpfekytsUswTO/c2osIicd1vdY0tlvlhpSWC7ge2j/9tF3A1typ8YVHlnwsPfLwwlPcNipdBIHXGi8Ab09fjrEe/THreakaFljaFez9YENjQFflq/PJqlA0ZmdRckW6A3KfGrMCPXpmF334Y/n5obCY9/oFRIZbEP26bg466/7OkXM4PKhI5kU2tbfjTyKVpgyXjkC52tu2p933oEd2fRjgP1RDEGHTZ1P6MXJDIBTTn1wFAtSlHWCngydHL8ciIJXjmyxXxmuBaj4G/XvPu9tw1YkFqzmIusYYrT5zxpy+dF/KJ1d1w+9ISdO/UIf53hPLl4/SeZMXq4f8uTmq6+MuoWF6M07QnAPB+5Sb8+tLjAytbPnvU0FzyVkDTmfjNag7KfPdYhuN3VZlqhKvrGtMGVW4u+r//ZHFGZXHDPEyFlUyH7nAyJ4NEdzesvi+n2QHcem7sSvxtzApXy5p78OcaAy5KMWVV6lhEpSWCHp3aWyxNUfHvqessH//qI2NcvT5K46pRdi7628SwixAZL1o0S6Wbo7NYraneiwc/9TeQLBsyEgd37uC8YBbcBltA+M2KbFIkV9qVSFINFxUeqwEziag4DJue2oPZD+Zx74pZzgMuEblMRJaLyCoRGZLr96fM1DY0oztruIiIiDKS04BLREoBvADgcgAnAvi+iJyYyzJQZppbVXzyUiIiIvIm1zlcZwFYpZRaAwAi8g6AqwFkN1kgBW7xllqMzGByXiIiIsp9k2JfAMZ5SzZpj8WJyO0iUiEiFdXVwY/fc9v5Rwb+HoXgoW+diM8tBhB0ct/lJwRQmsx079QeFx7fM+xiUJHye8zFub+/xN8VutCvx4E5f08iv/z7ljNDfX/J5dg7InIdgMuUUrdpf/8IwNlKqV9YLT9o0CBVUZE6iBoRERFR1IhIpVJqkNVzua7h2gygv+HvftpjRERERAUr1wHXbADHisiRItIBwPcAfJrjMhARERHlVE6T5pVSLSLyCwCjAZQCeFUpFdyQvUREREQRkNMcLq9EpBpAMKOxJTsUQOrw6hQmbpPo4TaJJm6XaOJ2iZ5cbJMBSinL3lmRDrhyRUQq7JLcKBzcJtHDbRJN3C7RxO0SPWFvE07tQ0RERBQwBlxEREREAWPAFTM07AJQCm6T6OE2iSZul2jidomeULcJc7iIiIiIAsYaLiIiIqKAMeAiIiIiClhBBlwi0l9ExovIEhFZLCJ3aY8fLCJjRGSl9rOH9vgJIjJdRBpF5DemdV0mIstFZJWIDAnj8xQCn7fJqyJSJSKLwvgshcSv7WK3HvLOx23SUURmich8bT0Ph/WZCoGf5zDt+VIRmSsiI3L9WQqFz9eVdSKyUETmiUggkzgXZA6XiPQB0EcpNUdEDgJQCeAaADcDqFFKPa4FTz2UUr8VkV4ABmjL7FJKPamtpxTACgCXANiE2NRE31dKLcn5h8pzfm0TbV2DAewF8LpS6uRcf5ZC4uOxYrkeHive+bhNBEBnpdReEWkPYAqAu5RSM0L4WHnPz3OYtr57AAwC0FUpdVUuP0uh8Pm6sg7AIKVUYAOjFmQNl1Jqq1JqjvZ7HYClAPoCuBrAMG2xYYh96VBKVSmlZgNoNq3qLACrlFJrlFJNAN7R1kEe+bhNoJSaBKAmF+UudH5tlzTrIY983CZKKbVX+7O99q/w7rBzxM9zmIj0A3AlgJdzUPSC5ec2yYWCDLiMRKQM+P/t3XmcG+WZJ/Df04cPfN822KbxYMKRCUcchwwEMoQwQLLAbmYnxyRDdskyk0mykGNmzBAI2UmCBxISEggEAoMTiB0IN8YGnxiDsd2N77Pbxle73Yfd9y3p2T9U6pbUJakk1SFV/b6fT9uSqlT1qt6qt55637fewsUANgKYpqp1xqQTAKZl+PoZAI7GvT8GnkTylmeekEPsypek5VAe8s0To9lqK4AGACtUlXliAxuOlV8C+FcAESfSF0Q25IkCeFNEqkTkVifS6OuAS0RGA3gewO2q2hY/TaNtqbzacxnzpDDZlS/plkPZsSNPVDWsqhcBmAlgvoiwCT5P+eaLiHwOQIOqVjmXymCxqfy6XFUvAXAdgG8aXVds5duAy+iz8DyAZ1T1BePjeqPNN9b225BhMbUAZsW9n2l8RjmwKU/IZnblS4rlUA7sPlZUtQXAGgDX2p3WILEpXy4DcIPRZ2gJgKtE5GmHkux7dh0rqlpr/N8A4EVEuxTZypcBl9FZ9AkAe1T1gbhJrwC42Xh9M4CXMyxqM4C5InKWiAwD8EVjGZQlG/OEbGRXvqRZDmXJxjyZIiLjjdcjEb35Z6/9KQ4Gu/JFVe9Q1ZmqWoHoOWW1qn7FgST7no3Hyiij0z1EZBSAawDYfxe8qvruD8DliFYhbgew1fi7HsAkAKsAVANYCWCiMf90RPtntQFoMV6PNaZdj+idigcA3On1byvWP5vzZDGAOkQ7Ph4DcIvXv69Y/+zKl1TL8fr3FeOfjXnyEQBbjOXsBHC317+tmP/sLMPilvkpAK95/duK9c/GY2UOgG3G3y6nzvW+HBaCiIiIqJD4skmRiIiIqJAw4CIiIiJyGAMuIiIiIocx4CIiIiJyGAMuIiIiIocx4CIiIiJyWJnXCUhnAIeKLQAAIABJREFU8uTJWlFR4XUyiIiIiDKqqqpqUtUpZtMKOuCqqKhAZWWl18kgIiIiykhEDqeaxiZFIiIiIocx4CIiIiJyWOADLlVFT3/Y62QQERGRjwU+4PrN2gM4967laO7s8zopRERE5FOBD7he2lILAGjs6PU4JURERORXgQ+41OsEEBERke8x4NJoyCUep4OIiIj8K/ABV4ww4iIiIiKHMOAiIiIicljgAy724SIiIiKnBT7gGsQ2RSIiInIGAy4iIiIihzHgYpsiEREROSzwAVcs3uJdikREROSUwAdcMYy3iIiIyCkMuIiIiIgcFviAKzbSPBEREZFTGHAZ/ws7cREREZFDAh9wEREReeHoqS68tKXW62SQS8q8TgAREVEQ/Y9H3kVjey9uuvgMr5NCLgh8DVesCxcbFImIyE2N7b1eJ4FcFPiAi4iIiMhpDLiIiIg8xLvlgyHwAZca9ynyJkUiIiJyCgOugT5cjLiIiIjIGYEPuIiIiLzEFsVgYMBFRERE5DBHAi4RmSUia0Rkt4jsEpHbjM8nisgKEak2/p/gxPqzMdCkyBZFIiIicohTNVwhAN9T1fMBXArgmyJyPoAFAFap6lwAq4z3REREgcUWxWBwJOBS1TpVfd943Q5gD4AzANwIYJEx2yIANzmxfiIiIqJC4ngfLhGpAHAxgI0ApqlqnTHpBIBpTq+f/G3d/kZ8+udr0ReKeJ0UIiKilBwNuERkNIDnAdyuqm3x0zQ60tuQmlQRuVVEKkWksrGx0cnkJa3XtVWRjX7w0k4caOxEXWu310khIsoJBz4NBscCLhEpRzTYekZVXzA+rheRGcb0GQAakr+nqo+p6jxVnTdlyhSnkkc+oez9QERERcCpuxQFwBMA9qjqA3GTXgFws/H6ZgAvO7H+bPDKwh84cC0RERUyp2q4LgPwVQBXichW4+96AAsBfEZEqgFcbbz3VCzcErYpFiXGyxQUr++oQ8WCpWjt7vc6KWQzFmPBUObEQlV1PZCyyuHTTqyTgo3xMvndo28dAAAcaurEhbPGe5waIsoWR5o3sGmRiAoZiyii4hb4gIuFWHFj/lHQsDbXf1iOBUPgAy4isu6RtQdQsWApOntDXiclcHhHLlFxY8Bl4BUGUWZ/2HAIANDc1edpOoKMd+QSFafAB1y8aiQiIi/xPBQMDLi4n/sC+7WQ37GsIipugQ+4qLjx7lJ3cdw673HTE3mnoqICK1euzOm7DLioqDEA8Aa3tvt4beFfzNtgCHzAxf2ciIiIslFTU4Mrr7wS48aNw+TJk/GFL3wh43ccGWmeiIiIyK/uuusuXHPNNVizZg36+vpQWVmZ8Tus4dLE/6k4sYnLHTxOvMNNT1Q4ysvLcfjwYRw/fhwjRozA5ZdfnvE7gQ+4qLgxAHBX7PZ1dpnzDrc9kffuu+8+qCrmz5+PCy64AE8++WTG77BJkYiIiCgL06dPx+OPPw4AWL9+Pa6++mpcccUVab/DGi5W1PsCr/rJ7zgEin8xa4vPc889h2PHjgEAJkyYABFBSUn6kIoBl4Ej/RYn5ps3+HgZ73DbE3lv8+bN+PjHP47Ro0fjhhtuwIMPPog5c+ak/U7gmxR5ZVHcYvnHk5A7eLwQUZAdOnQIAHD11Vfjvvvuy+q7rOEiIioibD73H9bUB0PgAy67d/PlO0+gvq3H5qVSJpsOnfI6CURERCkFPuCKsaOpJBJR/NPTVfi7327If2FkSSzb/u/iLZ6mIygGH6XkaTICic25RMWNAZeNIkaJePRUl8cpISK/YrDrPwymgyHwARdvtSbKHs/57mM/H6LiFviAK4ZFGRERETmFARcVNVZQuovbm8h+PKyCIfABl507Og8aL3CrUzBwzDmi4saAy8bzNa/+ichp7DRPVJwCH3DFsPM8kRUa9292+kIR/PuLO9DY3mtvkoiIigADLhvxLiL3MU4uHst3ncAfNx7Bf7y22+ukEBUUXvAHQ+ADLu7oRNblc7jEjjUecbnhdiMqbgy4kv7Pa1ksEV3HTe4N7uvuiwWs7MJFVJwCH3DZ5eE1NXhgxX4AgLBXKxE5JNvipbmzDzc+tJ5PwChgvH4JBkcCLhF5UkQaRGRn3GcTRWSFiFQb/09wYt1euf+NfXhs3UEAbKYk/2N/xeLx6vbj2HasdaB8IiJvOFXD9RSAa5M+WwBglarOBbDKeO89njeKGoNbd3FrExHlxpGAS1XXATiV9PGNABYZrxcBuMmJdeeK520i6/I5XtjgnhsWUf7F808wuNmHa5qq1hmvTwCY5uK683bjQ+vxszf2eZ0MooLU3RfG+Xcvxxu7TmScl+eWHA1sOOsh66NvHcDdL+/KelVf+d1G3PNK9t8jotQ86TSv0XYg03JXRG4VkUoRqWxsbHQ+LRbn23asFQ+tqbE0LzvNu4cnb3elasKtbelCV18Y9y3f63KKgsj6Xr9wWW75sb6mCU+9eyin7xKROTcDrnoRmQEAxv8NZjOp6mOqOk9V502ZMsXxRLEPEFH28jlqeDlClISnoUBwM+B6BcDNxuubAbzs4rot4B5fjBgvU1BwVycqbmVOLFREFgP4FIDJInIMwA8BLATwrIjcAuAwgL9zYt1uu+K+NZg+doTXySByVS41wwyO7ZHrdmRPByJvORJwqeqXUkz6tBPry0e+54Ajp7pwhAMKUkAwZvJOvt0fGPAWLo5rFwwcad7Awqg4sQ+eu2Kbm5vdO9z0RMXJkRouIi9194UxvKwEJSVsQylEbNrKTW8oAgDoD0cyztvZG0JJ0obmdifyVuBruHilXtySs6+tpx/n3b0cv1i535P0UGY85nJT19oDAPjcr9enne/wyU5c8MM3cN7dy91IFtmAx0QwMOBiBb2vtHT2AwBe3FLrcUqInJHp5FzT0OFOQogoK4EPuGIYdvkLm0+cYUefOeYNEQURAy4qbpr8NvpBW3fIg8QUr95QGHWt3ZbnZxNI4WLeFB9mWTAEPuBi4eQvsfxs7e73NiFF5vYlW/GJe1cjHHHugGDzvTu4lYkKU+ADrhgGXv7AbMzNm7vrAQCRDAeCDvxvPh+3v/dSNfuyJZfIWwy4HMCCzT3JpxaOy5UfJ/dd4ZHhKR4ZhYvlVjAEPuDibk40WODvrmuzOL/55+lCqlitWPw8Bxo70Njea2mdNCjdnYgs04gKU+ADLipuyVeGPNnkJrbdbnjoHUf7ccWvCwA+/fO3cOm9qxxdnx9d/cBbKaflEgwTkfMYcBns7NDLk753WDPvsAzbN5fN73SAFzzcnsWGORYMDLi4pxMlsNKfZOgc1utPWNNCREEU+IDLiVvVeUJxz9DcYwSdi/gYK7ctOLR/FjmrracfK427S2PqWrvx3sFTlpexfOcJdPVxzDoiNwQ+4CKiROkquAaGhcih7ZbNvfa6bfEWfP33lahtGRyw9poH1uGpdw9Z+v7u4234p6ercOeLOx1KIVnFYyMYGHAZuMP7A/Mxf/nU+nLzu+fwyS4AQE9/eOCz9l7rtVUdxrzHmrvsTRgRmQp8wMUTdHFLzj9mZ/7S1nAZE/Ppw0X2yHZfl6SHWHLsJyJ3BT7gCuVxh1T8lSUVBp5D8tfVl8t+bb0PV/KJn9zBAKtw8bFXwRD4gCsml7LokbUH7E8IZYUFlf0WLtvj6PJ54ieiIGLAlYf2Ht7d47WhTYo8mefLyoO/U8VM3PruY30hUXFgwEW+wsqT/Fm5S3GoLMbhYpOiJ7jdCxjLrUBgwEW+woArf2ab8OE1NahpaE8zF8fhclu2TbOvbjvuUErIzPrqJjxfdczrZFABKfM6AYUil6YoXjB6b+hpnxFXvpJP5N19Ydz/xj48tu5g5u86lSjK28nOPtPPhWGyI77yxEYAwOc/OtPjlFChYA0XESVIVXHS0x8emDak75yFSIu1j4VlYBBbhsmeYw4EAwMuIkqQS+HPE4Z32DeLqDgw4DLw6tsfmI/5S25SjJ3P023aZ947HJ03zTyx5TA8MHfkZBf+8Q+VCeP7Pb7uIBZvOuLoetmk6LxlO+pw/xt7U07/3rPbUHnoFL75zPuorm9POR8VN/bhygOLqQLAAMt2KccCVgzs9MmzLNpw2PTzhK/HmiPzSJuf3fPqLqze24B3aprw6fOmAQB+8np0TLQvfmzWkPm5HYvHN555HwDwL39zrun09TVNWF/TBCD6qKWXv3W5a2kj9zDgoqKW3P+ENVz5C0fMt6myt4+jSoxg1izg5X4dHHk8/IQKHJsUHcAuFVTMQpFIwvv4MCtVp/ls8PAwF+uLFbG4cbkd/clq/lPxYcBlQXeKZ8t19pmPNN8fVvyZ4694gnUw+Uuu4Yqxch5gEJC72LYzG1/LbNPHPot97+dv7su4jm88XYWHVlennaejl0/Q8BJruPJz54s7cM8ru7xOhinXAy4RuVZE9olIjYgscHv9uahp6DD9fNfxtpTf+f5z25xKDsXJZXgCSi/5ge5mfa9SBbbc/LkrGajhGjrNyiCnv15dk3GeZTtP4Gdv7k87z45jrRmXQ84JhSOZZ6KUntl4BE+9e8jrZJhyNeASkVIADwO4DsD5AL4kIue7mYZclJWaX7eXlfB6vtDwhJ+/IX24Yv/nGc0yb9IrMUpjsyYl0xquPDdoqu8PK2O55qWekHmLChU/t2u45gOoUdWDqtoHYAmAG11Og6l0hVd5qflmSvU5UTELhTPXXrEm0X6SpobLTSzXvNXbzxouv5J8r1qzWpnI3wK4VlW/brz/KoCPq+q3zOafN2+eVlZWOpqmigVLHV0+ERERee/sqaOx8rtXOroOEalS1Xlm0wpuWAgRuRXArQAwe/Zsx9c3v2IiGjt6ccOFp6ed78FV1fibC6bh3OljBz4LRSJ4eM0BAMCwshJcNGs8VBUnO/vw0dkTcPr4kY6mnYCuvhDe2FWP82eMxYemjwEQzatPzp2MS2ZP8Dh1xaOhvQeLNx0FAPzjlXMwoqw0YfrKPfW4aNZ4jCwvxe66NnysYmLC9H0n2rF81wncesUcjCxP/G68N3fX4+rzpg70V9pw8CRmjBuBikmjbP5Fxac3FMHrO+pw08VnDHSE31HbihIBLjh9HJbtrMP++g5cOHMcRpSX4rwZY/HugSZc9+EZAICDTZ0DD6guLxX0hxUjykvQY9SYXH72ZADA2JFlmDs1eqy8uu04rjp3KkYNTzwVPLiqGlefNxUXnD7OhV/uTwebOtHY3oOPnzUJR5u7cPhk10AexLR296O2pRvHmrsxZ/IoLN1Rh6/9VQXGjSz3KNXFb9fxNoQiEVw4c/yQaZNGD/MgRYPcruH6BIB7VPVvjPd3AICq3ms2vxs1XERERER2SFfD5XZj/WYAc0XkLBEZBuCLAF5xOQ1ERERErnK1SVFVQyLyLQBvACgF8KSqFuaAGUREREQ2cb0Pl6q+DuB1t9dLRERE5BVX+3BlS0QaARx2YVWTATS5sB6yjnlSeJgnhYn5UpiYL4XHjTw5U1WnmE0o6IDLLSJSmaqTG3mDeVJ4mCeFiflSmJgvhcfrPOEId0REREQOY8BFRERE5DAGXFGPeZ0AGoJ5UniYJ4WJ+VKYmC+Fx9M8YR8uIiIiIoexhouIiIjIYQy4iIiIiBzmy4BLRGaJyBoR2S0iu0TkNuPziSKyQkSqjf8nGJ+fKyIbRKRXRL6ftKxrRWSfiNSIyAIvfo8f2JwnT4pIg4js9OK3+Ild+ZJqOZQ9G/NkhIhsEpFtxnJ+5NVv8gM7yzBjeqmIbBGR19z+LX5h83nlkIjsEJGtIuLIQ5x92YdLRGYAmKGq74vIGABVAG4C8DUAp1R1oRE8TVDVfxORqQDONOZpVtWfGcspBbAfwGcAHEP0WZBfUtXdrv+oImdXnhjLugJAB4Dfq+qH3f4tfmLjsWK6HB4r2bMxTwTAKFXtEJFyAOsB3Kaq73nws4qenWWYsbzvApgHYKyqfs7N3+IXNp9XDgGYp6qODYzqyxouVa1T1feN1+0A9gA4A8CNABYZsy1CdKNDVRtUdTOA/qRFzQdQo6oHVbUPwBJjGZQlG/MEqroOwCk30u13duVLmuVQlmzME1XVDuNtufHnvytsl9hZhonITACfBfA7F5LuW3bmiRt8GXDFE5EKABcD2AhgmqrWGZNOAJiW4etnADga9/4YeBLJW555Qg6xK1+SlkN5yDdPjGarrQAaAKxQVeaJDWw4Vn4J4F8BRJxIXxDZkCcK4E0RqRKRW51Io68DLhEZDeB5ALeralv8NI22pfJqz2XMk8JkV76kWw5lx448UdWwql4EYCaA+SLCJvg85ZsvIvI5AA2qWuVcKoPFpvLrclW9BMB1AL5pdF2xlW8DLqPPwvMAnlHVF4yP640231jbb0OGxdQCmBX3fqbxGeXApjwhm9mVLymWQzmw+1hR1RYAawBca3dag8SmfLkMwA1Gn6ElAK4SkacdSrLv2XWsqGqt8X8DgBcR7VJkK18GXEZn0ScA7FHVB+ImvQLgZuP1zQBezrCozQDmishZIjIMwBeNZVCWbMwTspFd+ZJmOZQlG/NkioiMN16PRPTmn732pzgY7MoXVb1DVWeqagWi55TVqvoVB5LsezYeK6OMTvcQkVEArgFg/13wquq7PwCXI1qFuB3AVuPvegCTAKwCUA1gJYCJxvzTEe2f1QagxXg91ph2PaJ3Kh4AcKfXv61Y/2zOk8UA6hDt+HgMwC1e/75i/bMrX1Itx+vfV4x/NubJRwBsMZazE8DdXv+2Yv6zswyLW+anALzm9W8r1j8bj5U5ALYZf7ucOtf7clgIIiIiokLiyyZFIiIiokLCgIuIiIjIYQy4iIiIiBzGgIuIiIjIYQy4iIiIiBzGgIuIiIjIYWVeJyCdyZMna0VFhdfJICIiIsqoqqqqSVWnmE0r6ICroqIClZWVXieDiIiIKCMROZxqGpsUiYiIiBzGgIuIiIjIYQy4KK1DTZ1obO/1OhlERERFraD7cJH3PvWztRABPrj3s14nhYiIqGixhosy4vPNiYiI8sOAi4iIiMhhDLiIiIiIHMaAi4iIiMhhDLiIiIiIHMaAi4iIiMhhDLiIiIiIHMaAi4iIiMhhDLiIiIiIHMaAi4iIiMhhDLiIiDxSXd+O3751wOtkEJEL+CxFIiKP/PffvIuO3hBuufwslJXy+pfIz3iEExF5pLMvBAAQEY9TQkROY8BFROSR2IPhGW4R+Z8jAZeIjBCRTSKyTUR2iciPjM/PEpGNIlIjIn8SkWFOrJ+IqJio1wkgIsc5VcPVC+AqVb0QwEUArhWRSwH8J4BfqOrZAJoB3OLQ+omIiIgKhiMBl0Z1GG/LjT8FcBWAPxufLwJwkxPrJyIiIiokjvXhEpFSEdkKoAHACgAHALSoasiY5RiAM0y+d6uIVIpIZWNjo1PJIyIqGKpsVCTyO8cCLlUNq+pFAGYCmA/gXIvfe0xV56nqvClTpjiVPCIiIiLXOH6Xoqq2AFgD4BMAxotIbOyvmQBqnV4/ERERkdecuktxioiMN16PBPAZAHsQDbz+1pjtZgAvO7F+IqJiwgZFIv9zaqT5GQAWiUgpokHds6r6mojsBrBERH4MYAuAJxxaPxEREVHBcCTgUtXtAC42+fwgov25iIiIiAKDI80TEXmMNykS+R8DLiIiIiKHMeAiIiIichgDLiIijynvUyTyPQZcRERERA5jwEVERETkMAZcREQe412KRP7HgIuIiApOQ1sPIhFGouQfDLiIiKigHD3Vhfk/XYXfrK3xOilEtmHARSkp2zmIyAPHmrsBAOuqmzxOCZF9GHBRSoy3iMhL4nUCiGzEgItSYrxFRF7guGTkRwy4KCU2KRK5g4daEmN7CKu4yEcYcFFKvEHIWZGI4t0D7KNSKGoa2nGitQcAUHW4Gd19YY9TRMJGRV9790BToO5EZcBFKbFa31mPvX0QX358I9bua/A6KQTg6gfW4dJ7V6GhrQeff+RdfP/P27xOUmCx5PG/Fbvr8eXHN+LJdz7wOimuYcBFKbGZw1kHGjoAAPVtPR6nhOJ19IYAALtqW11bJy9uzLFJ0b+Ot0TvRD1yqsvjlGSvoqICK1euzPp7DLgKXCSieHXb8UBVuwYNm00KS+xIE57tPcOLPf+L9RH201EWCoXSTmfAVeD+uOkIvr14C/646Yjr62ah5yxu3sIU2+/9dCIoNrEaP8a8/uWH8u+pp57CZZddhu985zuYNGkS7rnnnrTzM+AqcA1Gc1NTR6/r62Yzh0t4Uikw7kdcvLgxx9pf/yv2muSNGzdizpw5qK+vx5133pl23jKX0kR58qLgYSums3iSLUys4fIejw3/80sen3766fj2t78NACgrSx9SOVLDJSKzRGSNiOwWkV0icpvx+UQRWSEi1cb/E5xYv594uU9yHC5nDTSbeJwOSsQ+XIWDWeBfEfVHs/GsWbMsz+tUk2IIwPdU9XwAlwL4poicD2ABgFWqOhfAKuM9WeDFTslwyx08sRcW1nB5j2VPcBR7s3E25bcjAZeq1qnq+8brdgB7AJwB4EYAi4zZFgG4yYn1+4mXlUys4HIYt29B8qLDNneFRKxdD44gXW863mleRCoAXAxgI4BpqlpnTDoBYJrJ/LeKSKWIVDY2NjqdvKLhyT7JMs8VASpvisJgDRdzxmus/fWvINYkO9ppXkRGA3gewO2q2hZ/8KiqisiQU7qqPgbgMQCYN29e4E/5Xt4pyLsUncWtW5gGTgRBOhMUGB4b/lfM55dDhw4NvP7a175m+XuO1XCJSDmiwdYzqvqC8XG9iMwwps8AwGeaWORJH67iPR6KCk/sxCY0ctJLW2rx5q4TXifDVJDKP6fuUhQATwDYo6oPxE16BcDNxuubAbzsxPr9xMtyOMKTgKN4ki1MxXzlTWTm9j9txa1/qPI6GQkGa5KDE3E51aR4GYCvAtghIluNz/4dwEIAz4rILQAOA/g7h9bvO17slDztuCNA5U1RCOKJoFAxB/xrYPgVT1PhLkcCLlVdj9Tb8dNOrNOvvB2Hy8OVB0C2m/f9I814rvIofvrf/5LBgINi+30J71L0DjeI7wXx/MJH+xQ4T4eFYKnnqGzvhvviY+9h8aaj6A1FHEwV8Tl+3mMe+N9gHgcnkxlwFQlP9knGWxRAHBaicDAH/CuIdwMz4Cpw3g4LQU4afIRMll8gR2WdL3ask3mbgNuD/IgBV5Hw4mqbhV5hCtIVoRdid49yM3svSM1NQRWkHGbAVeg4LIRvZTssBPvUuWNgK/Nk7xkWPf6nPnl4dTYYcBUJPrzav7K9iufJyFmePHKEeZogiEMGBE0Q+0oy4Cpw3g4LwbOAk7h1C1XwrrwLFfPAv4JY/jHgKhKe3KQYxCPCA5b7zDM/XMVzvXd4sRccQQqqGXB5pLq+HRULlmLLkea087Hg8bEcs5a7hLO82L7sn5dKgM7GAeNJ073HGHB5ZM2+6HO7l26vszQ/H17tX1bzltnhjsFhIYJ0Kigs3Nf9b+AiI0DHGQMuj2Xa1/jwav/KtVaDtSHOCuKVd6EJ4qCYQRPE0wsDriJh9U6OF7ccQ8WCpTjW3JVx3qrDp1CxYCkqFiw1nR7A48FV2d6lw+Zld8S2c+Xh1M397T39qFiwFL9964BN67RlMY5ZsukIKhYsRUNbj6vrtSveuvSnq3DZwtU2LY3sENvl3XxmqdcYcHlk8Aou/d6WbTn84pbjAIDqho6M867b35R+3YV+FggoZouzrGzexvZeAMCSzUedTUyB+HPVMQDAoZOZL+TsYe9OfqKtB7Ut3bYuk/I0MMBwcCIuBlweyXacmWyr1u3YhbMp8nr6w+jpD9uw1uDItdkkiPFWJKJo6+l3ZV1WAtqgjhNlRxNfa3e/5Ys5Nin6VxDLMQZcBS7b2gw7a6WyWdS5dy3Hpfeusm3dQRDri8VHKWb28JoafOSeN9HQ7nyTlpU+cnbXMgYlbw+f7MSFP3oTv99wOO18rMUNjiAF1Qy4PGK1QMm1g7SVO6wsnFayWmdLlzs1EH6Rcw1XAM9Gy3aeAAA0tPU6v7JsNm+AThZ2iDVJrtxTn3a+wRpEbmC/CuLNKQy4PDJ4S6y1+R25RT3DiTuA53XXtHT1xTWRWe00b9/623v6caqzz74FOszsp/eGwqhrzb5fztFTXWmDVmubOVgPuLZr18v2YiFItR9BM1DDH6A8ZsBV4LwdFsK7dfvdRf9vBd47eCqn79qRLX9172pc8h8rbFiSu+IL59sWb8Un7l2NSBY76s7aVnzyvjV48p1DKeexcsxFBmon7TlbFEutpV3nxow3CxXH5qA8BDGPGXB5zGqVebYFnT2d5gN4RHgg+ybF/NfZ3hvKfyEee3N3tJkxm81x2GjSqjqcW7CbLEAX554IUu1H0ARxgGEGXB5xKrrPZrnxs5pdYQfxCoSKj921Q2ELy7P72Kht6R4YaoJ4sVesGtt7LY0BCSQeQzUNHWh36S5kLzkScInIkyLSICI74z6bKCIrRKTa+H+CE+suNlaD+6yHhbDhooEBlzuyzqoA5ovpBUEuy7HwLSuDmcaWU2LT1fkND72Dj/1kpS3LcoJdQW22S2Gn+eLysZ+sxOX/ucbSvPF9uK5+4C184bfvOZm0guBUDddTAK5N+mwBgFWqOhfAKuM9ZeBk3474RZuthleZVAxy2UvTnch3HW/LvM6APnrGrt+baTG82AuO2LG4uy7zcVfsHAm4VHUdgOROEjcCWGS8XgTgJifWXWiOnOxCdX37kM9jgZTlgU8tzpf78/lMPov7sDNFn5++UARvVzfmtE6KyrYPQ5ADYbNAKdeTc1dfCO8eGPq0BSud8HNdZ18ognX7g3u8VB6y1nduYPPmEODtqWvjqPLFIIAXLW724ZqmqnXG6xMAppnNJCK3ikiliFQ2NhZ/wXTF/WvwmV+sSzk948Orc1yvlar4TCfu+JPKBtifAAAds0lEQVRK7NEeyf5z+V589YlNWaWNEgWovHFErgHo95/bhi8/vnHIydnKQ9tzXef9b+zFPzy5CVVpntPoV529ITy8JrtnT+ZybFz34Nt8bmIRCOLTGjzpNK/R6h3TEktVH1PVeao6b8qUKS6nrHBZrQXJ9crbvI/M4GcnO8w79B5szPzMRrIXm1sS5bo99p6I1jx39yXW3loZZcLqs1CTHWzsBAA0F9EYaEB8YZ376TEUtp5RxTJMBuUuiHnsZsBVLyIzAMD4v8HFdRccyyPN57hP2vF8vvh1t/UU/zACuVBVPF91DP3hiG3LXL6zLuG9U89SPHKyy7TJLMja4/fjFO1WVmq4YvbUtWG3hT5fQLQ5rabAL1DW7mvIaTDZbFm/WShI9R/+pKp4ccsx9IbCSZ9H/4/PYr8HYW4GXK8AuNl4fTOAl11cd8HJ9tEVTg80b95pfpBbDw4uNK9tr8P3ntuGh1bX2LK84y3d+Ken37dlWZlccf8afPnxja6syy2JhXP237/jhR0AgINNnXHjACXOk+1yr//V25bm+9tHNwyMA1aovvZfm/Hffv2O18kgH1m9twHf+dM2PPDm/oTPzc6Ba/b5ux7GqWEhFgPYAOBDInJMRG4BsBDAZ0SkGsDVxvvAy9yHK7vSP9dxuMyXNThHW3cwa7hauqOBZlOKJtVs9fSHh3zGZynmJ5fN0RuXD8mb30oNVza1YMXGbF93++cG8Tl7ftVqlKENKcaZiy///H6eKXNioar6pRSTPu3E+opRugKssb0XK3bX48sfnz3wWaaCp+rwKfT2DzZ7ZVtQmQV2ZjVcL22pxSWzJ2D2pNOyXENx8+/ptfhZvShJuNNWAE3RWcvPwVS+8qlpbzQJ5PbUteFYczc+c/7gPVRPvfMBfrP2QN7ro9xsOHASpSWC+WdNzDhv1eFmdPeFcfncyRnnTb5QDOJh5kjARdaZlSf//EwVNh9qxuVnT7a8U37+kQ0AgEvnZD5IzJg2Kcb34TKuUm7/01aMG1mObT+8Jqf1FBs3yvtsB3cMYDmV9jiweoz8eOmexO8Z/yf3E8qm0zxZ98/PVA357LoHo82xhxZ+duCze17d7VqaaKgvPR4dgDQ+T1L5/CPvZpw3VdA8OPBpcKJqPtqnAJ3siN7B1B+JxPXrzXao+cyzZDppxF+RxHc2jlURU/Z4nraf1W3a0pV4Z2A+zVbMx+w1dQxuf7vHH6TiE8RmYwZcHhloBrEYSFke+DTuTPDewZN4eWttwvS2nn7c/8ZeS3fdJTQpJgVZe0+04fcbDllMVbAcb+nGQ6urrfe1EuBUZx8eeHOfo4Nu+oHZ4WJ1OyfPFv9okWylW+eu4614+r3D2S+0gNkxZlKmfPrDe4fx/hHz8cmerzqW0wPHG9p68ODK6oH3u4+34Q8+y5uYWJmsqvj1qmqcaO0xna+7L4z7lu8duGtwT13qbVJd347/eucDp5IcOGxS9IjV6D7nYSEg+OJj0arhGy86Y+Dz+5fvwx/eO4w5k0cn9H3J1KTY3htCOC4YuPaX0aaAv/4Qx0pL9o2nq7DtWCuu/fB0nD11TMK0VPl518s7sXR7HS4+cwL++kNT0y4/yCPN5yNV36xcnteXLgc++6v1AICvXHpm1sv1s0zXEne9tHPIZ7Hmpu89tw2AtWaueN95diveqTk58D52R+lXfZg3sTL5o2dOwM9X7Me66kY8909/NWS+R9bW4DdrD2DiqGH4+ifnDDTrmm2Tz/16PXpDEfyvy85yLN1BKs1Yw1WAzHZAu5q5Y3fJhSKRhBWZdppPOkF1BHQsrmx19UW3sZW+QEA06O4LRWsc4298oEHpgkwvCuwg1zLmyoubEWLHYpBEjCKk2+SOaADoNVo3+i0MRNsbcq48CuLd1gy4XNTS1YcFz29HT394yEni1W3Hhzw+Z9+JdpidTlbvrccfNhwyXUfGoR6M/609+ieRn/pu7alrw8Jle2056J+rPIrXth/PaxllJdH8WPTuIazeW5923le2HseLW8wftZSKqmLhsr3Y4+EDYk929OKOF7abDo2RTnV9O/bXpx4w1PIgwnGvJYvvZV6aPzh9AoxffJA6ShccF3fdmoZ2/GTpXq+TUTAYcLnogRX7sWTzUTxXeXTgs1i58+3FW/B9o9o81kH9n5953/Sk8L+fqsRdL+9Ku66Ud4ak6IyRqUkR8FfA9XePbsCjbx1Ap8Ur4HTnon/583Z8649bLK7ZfEGlRsC14eBJ/O+nKtMu4cdL9+A7f9pmcX1R7b0hPPrWgYFmZi8sXLYXizcdxavbsgtO/+HJwWd1ml4o5PjUBrORroMsbbyl+d9RlktAx6wpbl99YlPKMQwDWMHFgMtNCVXqafa2+IIp9rLEakGX6c7DWEfhpFlNH+2T9KlZwFWsV6phHdwO6eTUoTqH+WMBl1PUaBnwcowpq02syUJxXzTtNG95i9v32/PdjIV42Fj5SfkkOz7/3fr5QTypx9j523Ot/QwnHLuJuW523BbicWEnBlwuMttnf7myGq1diYGMaR8u4/9n42rH0km53w5c1Sft/Ebi/u/iLXi7utE0vWYBV7G2wztRu/HvL+5IeE5iKKz4+qLN2Ha0BQDw1v5GfPdZ85ops4Dr0bcO4LF1B7JKw5Yjzfj6okqEku5CjQ+0vWJWwN754g4s21FnMrfxHVU0phihOuv1D6nhyv0uxVyDR7f1hyO45anN2HGsNeO8Th/L4VyWbzFvIhHFN56uwuZD2d/JGCSL3j2E3647CCC7/T7XXSP+ax29iX2Ai/TUkRcGXF4QSdgR0/XHST5J/euft9uTBJiN/Kt4ZdtxfPWJTcb7xO+YBly2pMZ9Ttzp98eNRxKek3jkVCdW7mnAd/60FQBw85ObsN3sxKeDfbjiLVy2Fz993bz/Qyrf+uMWrNxTj7qkW8I1RaDthfg0PLPxCL7xTOpnSyYHNlaavlNJNVsu26RYLjRqGjqwam/DQHeFdJz+RfHbzO7dsLmrD8t2nsD/+X365vig++Er6buipGLHvrFyT2Lf1OI4guzFgMtF+exg1lsU068l1VRF6nGKYswCrmK50k8llyEBrIoMBDmZ5y0tcfZQHOi65328ZTvLDYrJFxhpptm1zkJhJd/TjuafxXJyWX4qVo/P2KKtjGNH3kiVk8Vy8WIHBlweyHSH1KnOwRGZ0833jaeHPiojdivwF1J0jo5vRknuUpa8qlQ1XPGFbrEeLG4ke/fx6B2BLV3pbzZQqGkNV7zDJzvzSkus71byWo6e6spruVmJBaDG27f2N2b+ypAgKf3wJQ+8uQ/XPfg25v9kZUJn3QXPb8eafY1J30tMTzo7a1vxiXtXDYxWn29fuEI8bJwe3y1+mx0+2YWP/WRlxu8kB3gVC5bizhd3oGLBUtNHBQUh3uruC+OK+9Zgw4GTptP/uOmILeuJP34ylfOX/nQVdh0fWnsf/7Xkfshmi2zvCeGyhatRddh8ANxix4DLRQkBTpaFm9mV3rKdJ4Z8tv9E6tvno+s1lmdhxO7kFA4EXAnfSbu6QHvkrWj/q5OdfRnmzNxpPt9CdCDgSsr4F7fUms3uiOR97wcv7bD8nYH3Zk2Kca9/tboGe+ra0NDeizV7GwY+X7I5se+jiCSMNJ9pP35odQ3qWnsGT3IW9vtiuxhxOrnxwVB1Q0fOffOe2Rg9Fl7fMbT8C8KDx/fXt+PIqS7cu2yP6fTFFsuKTBcaa+MuUDJt1RNtPXj0rYPp1zdkhUOXuvVoC2pbuvGLFfszrLE4MeDyQFadFbNcttVAbkgAZ1rDlfhJ20AN1+B3i3XU8+xTnf03rBb+qs7fpRgpwPFUrWyeVEM5WFmO1Tt7BZJ17hbLA66zSYOVB4S7/ZuyfaRZEAIuu2SzpaxsVvMiLK7fHjLXcPkdAy4bNXf2oWLBUsy983Xc+NB6VCxYmjRHdA/r6g3j4TXmd5+lvCq2WPKkGj34ml+8hb//3Xt4eevgGEgJfVigGU9uZjVchXgiz0Z8wNgbCqNiwVK88P7gTQz59PGK/+bNcWNJmUluUtz0weDdVhULlmLL4Zac0wEM3iGWXCi6WegNvUlj8PVZdyy19HzPbJSURK/2/+LfX0873+NvH0x53LV29aNiwdKB5k9FdAy37z67NWG+igVLhwzoGlvi9Q++jbtfHvrYGjMVC5YOech2vHk/XomHVlennJ6P+GNh3o9X4terqodMS7W7/Mdru3H1A2+ZTqtYsNSkLBw6TyoN7ebPBASig0lXLFg60DwZXx7925+3Y+vR/I4bL2w+dAoVC5amfBZiTGyX3Xq0JeP2TeWK+9YMvL5v+d6E5ZgdE4s3HcHcO1/HztrWIeusbe5OvzIBXtpSO3CspAvii/VCPhMGXDbaabRh94cV29Lchn0kqd9MfI2RlbuycrG/viPhmWLmfbjS95cx7cNVrAeGSbKbO6O/b+Gy7O4MtLKKTP2VSpIioeQHg2/K8nb35Mqdwc7E3vWaT25STB5vrt3k0VGZ9slUnwHRYPnHr+1OGAso4XvGx0+s/yBlmmsao030sb6RqtG8aDBpDks+QcZ+3+66Nvx+g/UHJu+pa085ramjFz9705nmlvjyoKmjFz83adZJFZg+sf4D1DQM7c6Qbyd2EeD9NBcbsX6SA+uLS9+fLA6hU2hi+8rGD8z7aA0cP8Z+vyTH7gaCxHPRb9YmVgIkX5ADwE+X7kF/WAeadeNVZuh3VSLA/W/sAwA0tvfGBfHxtWD+xoDLRplqQwYHMU09T3KVuJvjJ6Wr4SorkRTjcDmcKIcldOo0jga7miUsD1egQ2u47N6shdTUEjtOMjVhRz9L/950QbH1ZDhoNMXreONGlqVfSJpl5BpreHUR48RaQ/kGXJC0+Th0mxfOfp6r2M+1+lPcuPM4lpbysmghabU2Ol2nebN5/I4Bl43S7fjn3bV8oONuunF/5t65LOH9C+9HOzX/y5+341erzJsS/vpna7NLKIDblmxFfdvgFbkCOPeu5QnzPPXuoYHX408rR1tPrEkxrg9XkR4ssZPaBT98A9X10RqFMiPiMqsRWbzpKA6f7ETFgqVYu2+wM7bZnTlmV/qZJPfhqknz7MBcPGYMdtgX8u5hvsn7SvLJ8Yr71uB/PvouAKDSaFax8uzHV7ebD5x625KtKR/dVJPUaTvVfnz1A+syrn9wGYkLWbI5xxsdbDymsgne0nXyH2j+yXL9qWoXrfpT5VF09g6t+Yz5+99tTHifzepe3XYcFQuW4j9e243bl2zJ2PTsluQaLAvfyGk9J9rSN1nGa+8J4f0jzQN30Cc/99fMVT9bm3DDUFdfGLUt0WbH1Xsb8GxldBlW8uymh9/BVT9fazm9hYoBl43S7fbxT27P9YrkodU1pp9/0JTbkAHxwYJZYft2ddPA67EjywdruHzQpBj/c987GK26j/2sVFflW45Emzbi7+xbt7/JdN6s0oKhNVz76lM3K+Ui1gQwZLRnD/MveZfr7Atj86Fos8Sbu6ODJCZvX7OY4JmN1pvrUqbF4nZIN1/ylKfeOZRjWrxhZb3ZXmDlNLp8kuRBfO0Sa0p+Yv0HeGnr8byDQ7tYreHK92kZyc2xQ1cw+LK2pRsrdtenntfEwTTnpfh+suZDvSS+33q0BQcb8xsapxAw4LJBKByJHqwWd/yhd2tYrTse+lFfKPeOxqmu/s0O4HEjy03HLSqQMiovmvR/KKzoDYURCkfQ1TcYoMS2Szii6AtFhjw+Jx9ODnwafyIphPwavILPPI+VE3ahDHY5dODg1Lr7wxn7ltnJymj6uaw3ufzpC0USyrNwipt4stGbRxmXSl8okvLO4IHy3COxvEp9/1R0eqxZL1XORjQ6T6pzRDZ3RocjmrYrzJB1Z9h+8ftjfPpybYKORNT2m26cYL2Dgk1E5FoADwIoBfA7VV3odhrsdt7dy3H6+JFY+D8+Ymn+J99J7KRrtROs2YFzzg+WmcxpTUKTSoZ5x48sH3jti4FP41/HmkuMF939YXzoB8uHfCdWQL22vQ6vpWjGyiktmnng02yWBQA/enX3wGfn3z30t3hhaJ+t1POWGjtZOGL+TMh4dtSi2HO3bWI60vUn+vbiLfj24i0plmLfMZXVprE07+BMa/c14Gv/tRkvf/Oygc/O+cEy/OOVc3DHdecBsCdvUnWlyEe6cvPsO5fh4tnj8eI/X5ZyHifFSoJM/dH213fgucqjKWu49tS1DemiEi/bgKs0i6q0BS+kfwRd/N2jv1w5mL9m4wIm18qb+YcnN2F9TRMOLfys5TR6wdUaLhEpBfAwgOsAnA/gSyJyvptpcEJ/WHH4ZFfOVbtWdiinZSoXx582bOB1fA1dgVQu5CUWpGT6KVbHdcpF8l2K+Yqv/neihiAXZs/uTKVkIOBKXsbQee0Ilnpt6NtmqYN/DstxS9rmUk38HwDWG10Oku+m+0PcHZmhIh03JtZ9wBMWaoBjXtl2POeha7Ipz8IRzeqZo7H+WXZotjBw9Pqa/Lt2uMHtGq75AGpU9SAAiMgSADcC2J32Ww7aWdtqW/Vxtc39buyyzcJYNDsT+nMN/c64uBqu+P5oyaNFW1lXIYjP85rGDmw72oIWk7sw4x1stLcje8wHTZ2WRqNPZratrXSEjf/eB02druVZrC/OoaYubDvakvI3bzvaMnC7evI2329yjNW2dOf9G6yeYPenuZlhd10buuKa6XNN1/769oTjzYzV5VYbN3DUtWZOi9mwHLHvNBqPealu6EB5afQ6/XhrtAP03qRhLLr6wgPfO9mZ22jyXonfRl6VZcdORbfrgYYO0zRUx92U80FTZ84XgvUZyoqauGNvd12bq48BO9Y8uL/Gl2mZ8iTT9OHlJTh3+tj8E5gjcbNJSET+FsC1qvp14/1XAXxcVb9lNv+8efO0stLZp7//5T1vmBY0lOhHN1yQ85PmiYiIvHb21NFY+d0rHV2HiFSp6jyzaa734cpERG4FcCsAzJ492/H1PfTlS4b0E8lWU0cfBMCk0cNwoKETY0eWQUTQ0tWH2RNHIRxRtHb3Y+SwEmz64BSuPGcqDjR2oLmzD519YVx5zmTsr+/AacNKMbysBL2hCN6pacK1H56Opo4+7D3RjtrmLnz9k3PQF4pgy5FmvH+kBedMG4Nzp49BR28IqoqSEsGcKaPxL89tw8cqJqK1ux9fuXQ2powZju3HWvFuzUlc95fT0R+OoLmrHx+dPQHHmrswclgppowZjj117ahr7cZlfzEZw8tL0BdS7KxtxdlTR+OGC0/Hh6aPwa7jbThj/AgAguauPkwdMxzHmrvR2N6Ls6eOxtgsxi3yUl8ogtqWHvSGwjh3+piBz2ubuzFqeBmONXdj6pjhqDzcjHEjy3Hx7PE4bVgpaho6MHviKBxs6sC4keUYNawM++rb0dsfQSgSQcWkUZgwqhzV9R2YO200XtpyHNdcMA1HT3Vj7MgyvLatDmNHlmHcyHJMOG0YLpk9AZPHRJtrW7r6sXznCYwaXobP/uUMPPnOB7hk9gSMHVmGOZNH45G3DuCGC09HfVsPZk44DdPHDR/yu/rDiqOnujBzwmk40NiBcEQxfdwInOzoQ0N7Dy77i8koKQE6esPYdbwV8ysmujKODxCtOT3e0o0zJow08kDx3sGTuHj2eDS292LsiHKIRI8j1eiV/Nypo1HT0IGwKsaOKMfp40cMLO9UZz+2HGnGledMQVlp9Ee0dvfjQEMnThteilIRlIgM1Do1tPegrSeE6WOH4+LZE/CrVdXoC0fw+Utm4rwZY9Dc2Y8dta043tKNKWOG45NzJ6O2pQczxo3AoZOdKCsRnD11NBrbe1FWUoJwRFFWKjjR1oNtR1vwhY/NMn5XBFWHm/GxionR6a29OG1YKUIRxYjyEpzs6MORU104f8ZYjB5Rhr5QBL2hCMpKBA3tPTh76uiU2/DoqW5MHj0cI4dZ7w1ysLETsyeeNrCN0qlr7cGkUcPwTs1JzD9rIkYNLwUQbbY90daTsP2BaI3f3Kmj0dkXRmtXHyCCqWOGozxuXQcaOlFaIpg18TS8uu049p1ox99fOhvhiGLa2BHY9MEpqCr2nmjHxbMn4PG3D+K7nzkHk0YNQ3tPCCLA8ZYeHD7ZiabOPlRMOg3nTh+Lzt4QGtp7MG3sCEwdMxx9YUVTRy/auvvR3hPC9HEjEIkoDp3swswJI3HhrHEoLy3Bqc4+9PSHUTFpFNbsa8Qls8ejpasfw8tLMHPCSNS39WJEeUnGWkanqEaHLZk7LfV+cLCxE/1hxV9MGYXSEkFNQwdmTjgNW482Y/akUWhs68GHpo9FfVsPIqoYO7Ico4eXoaahA5NGR7frOdNGY93+JpwzbQw2HDyJ0cNLUdvSg0hEceGscfjomRPQ1RfGewdP4qpzpwIAqg43o6c/gtrmbmObjkd3fxhdvSGMP20YGtt7MWXMcIwoL8Fr2+vw8bMm4u3qJtS39eBL82ejLxzBm7vq8Q+fOBMfNHVi4qhhaOnqR1mpYO2+Rlx29iSoAnOmjEZp3C6+YncDzpp8Wspjo7M3jOauPsw0ypZUThvm7fnJ7RquTwC4R1X/xnh/BwCo6r1m87tRw0VERERkh3Q1XG4PC7EZwFwROUtEhgH4IoBXXE4DERERkatcrV9T1ZCIfAvAG4gOC/GkqrJjEBEREfma6w2aqvo6gMJ4hgIRERGRC1ztw5UtEWkEkP9zOzKbDKA4BvIIDuZJ4WGeFCbmS2FivhQeN/LkTFWdYjahoAMut4hIZapObuQN5knhYZ4UJuZLYWK+FB6v84TPUiQiIiJyGAMuIiIiIocx4Ip6zOsE0BDMk8LDPClMzJfCxHwpPJ7mCftwERERETmMNVxEREREDvNlwCUis0RkjYjsFpFdInKb8flEEVkhItXG/xOMz88VkQ0i0isi309a1rUisk9EakRkgRe/xw9szpMnRaRBRHZ68Vv8xK58SbUcyp6NeTJCRDaJyDZjOT/y6jf5gZ1lmDG9VES2iMhrbv8Wv7D5vHJIRHaIyFYRceSZgr5sUhSRGQBmqOr7IjIGQBWAmwB8DcApVV1oBE8TVPXfRGQqgDONeZpV9WfGckoB7AfwGQDHEH000ZdUdbfrP6rI2ZUnxrKuANAB4Peq+mG3f4uf2HismC6Hx0r2bMwTATBKVTtEpBzAegC3qep7HvysomdnGWYs77sA5gEYq6qfc/O3+IXN55VDAOapqmPjdPmyhktV61T1feN1O4A9AM4AcCOARcZsixDd6FDVBlXdDKA/aVHzAdSo6kFV7QOwxFgGZcnGPIGqrgNwyo10+51d+ZJmOZQlG/NEVbXDeFtu/PnvCtsldpZhIjITwGcB/M6FpPuWnXniBl8GXPFEpALAxQA2ApimqnXGpBMApmX4+hkAjsa9PwaeRPKWZ56QQ+zKl6TlUB7yzROj2WorgAYAK1SVeWIDG46VXwL4VwARJ9IXRDbkiQJ4U0SqRORWJ9Lo64BLREYDeB7A7araFj9No22pvNpzGfOkMNmVL+mWQ9mxI09UNayqFwGYCWC+iLAJPk/55ouIfA5Ag6pWOZfKYLGp/LpcVS8BcB2AbxpdV2zl24DL6LPwPIBnVPUF4+N6o8031vbbkGExtQBmxb2faXxGObApT8hmduVLiuVQDuw+VlS1BcAaANfandYgsSlfLgNwg9FnaAmAq0TkaYeS7Ht2HSuqWmv83wDgRUS7FNnKlwGX0Vn0CQB7VPWBuEmvALjZeH0zgJczLGozgLkicpaIDAPwRWMZlCUb84RsZFe+pFkOZcnGPJkiIuON1yMRvflnr/0pDga78kVV71DVmapageg5ZbWqfsWBJPuejcfKKKPTPURkFIBrANh/F7yq+u4PwOWIViFuB7DV+LsewCQAqwBUA1gJYKIx/3RE+2e1AWgxXo81pl2P6J2KBwDc6fVvK9Y/m/NkMYA6RDs+HgNwi9e/r1j/7MqXVMvx+vcV45+NefIRAFuM5ewEcLfXv62Y/+wsw+KW+SkAr3n924r1z8ZjZQ6AbcbfLqfO9b4cFoKIiIiokPiySZGIiIiokDDgIiIiInIYAy4iIiIihzHgIiIiInIYAy4iIiIihzHgIiIiInIYAy4iIiIihzHgIiIiInLY/wdle3HvhtSzNQAAAABJRU5ErkJggg==\n",
            "text/plain": [
              "<Figure size 720x1440 with 8 Axes>"
            ]
          },
          "metadata": {
            "needs_background": "light"
          }
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "from sklearn.preprocessing import LabelEncoder\n",
        "\n",
        "encoder = LabelEncoder()\n",
        "\n",
        "pollution_INDEXED ['cbwd'] = encoder.fit_transform(pollution_INDEXED[['cbwd']])"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "555RYsXi3642",
        "outputId": "c99e9abd-bba1-4a8f-f075-cdb30c9322bd"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "/usr/local/lib/python3.7/dist-packages/sklearn/preprocessing/_label.py:115: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n",
            "  y = column_or_1d(y, warn=True)\n"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "pollution_INDEXED.head()"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 238
        },
        "id": "o0wwYh5R6EEw",
        "outputId": "a9bc8554-b505-4852-b05a-933cdf9d8010"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/html": [
              "\n",
              "  <div id=\"df-a098383b-d223-4c90-87e0-e2cc6d461198\">\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",
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              "<table border=\"1\" class=\"dataframe\">\n",
              "  <thead>\n",
              "    <tr style=\"text-align: right;\">\n",
              "      <th></th>\n",
              "      <th>pm2.5</th>\n",
              "      <th>DEWP</th>\n",
              "      <th>TEMP</th>\n",
              "      <th>PRES</th>\n",
              "      <th>cbwd</th>\n",
              "      <th>Iws</th>\n",
              "      <th>Is</th>\n",
              "      <th>Ir</th>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>Timestamp</th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>2010-01-02 00:00:00</th>\n",
              "      <td>129.0</td>\n",
              "      <td>-16</td>\n",
              "      <td>-4.0</td>\n",
              "      <td>1020.0</td>\n",
              "      <td>2</td>\n",
              "      <td>1.79</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2010-01-02 01:00:00</th>\n",
              "      <td>148.0</td>\n",
              "      <td>-15</td>\n",
              "      <td>-4.0</td>\n",
              "      <td>1020.0</td>\n",
              "      <td>2</td>\n",
              "      <td>2.68</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2010-01-02 02:00:00</th>\n",
              "      <td>159.0</td>\n",
              "      <td>-11</td>\n",
              "      <td>-5.0</td>\n",
              "      <td>1021.0</td>\n",
              "      <td>2</td>\n",
              "      <td>3.57</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2010-01-02 03:00:00</th>\n",
              "      <td>181.0</td>\n",
              "      <td>-7</td>\n",
              "      <td>-5.0</td>\n",
              "      <td>1022.0</td>\n",
              "      <td>2</td>\n",
              "      <td>5.36</td>\n",
              "      <td>1</td>\n",
              "      <td>0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2010-01-02 04:00:00</th>\n",
              "      <td>138.0</td>\n",
              "      <td>-7</td>\n",
              "      <td>-5.0</td>\n",
              "      <td>1022.0</td>\n",
              "      <td>2</td>\n",
              "      <td>6.25</td>\n",
              "      <td>2</td>\n",
              "      <td>0</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "</div>\n",
              "      <button class=\"colab-df-convert\" onclick=\"convertToInteractive('df-a098383b-d223-4c90-87e0-e2cc6d461198')\"\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",
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              "  </svg>\n",
              "      </button>\n",
              "      \n",
              "  <style>\n",
              "    .colab-df-container {\n",
              "      display:flex;\n",
              "      flex-wrap:wrap;\n",
              "      gap: 12px;\n",
              "    }\n",
              "\n",
              "    .colab-df-convert {\n",
              "      background-color: #E8F0FE;\n",
              "      border: none;\n",
              "      border-radius: 50%;\n",
              "      cursor: pointer;\n",
              "      display: none;\n",
              "      fill: #1967D2;\n",
              "      height: 32px;\n",
              "      padding: 0 0 0 0;\n",
              "      width: 32px;\n",
              "    }\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",
              "      fill: #FFFFFF;\n",
              "    }\n",
              "  </style>\n",
              "\n",
              "      <script>\n",
              "        const buttonEl =\n",
              "          document.querySelector('#df-a098383b-d223-4c90-87e0-e2cc6d461198 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-a098383b-d223-4c90-87e0-e2cc6d461198');\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",
              "  "
            ],
            "text/plain": [
              "                     pm2.5  DEWP  TEMP    PRES  cbwd   Iws  Is  Ir\n",
              "Timestamp                                                         \n",
              "2010-01-02 00:00:00  129.0   -16  -4.0  1020.0     2  1.79   0   0\n",
              "2010-01-02 01:00:00  148.0   -15  -4.0  1020.0     2  2.68   0   0\n",
              "2010-01-02 02:00:00  159.0   -11  -5.0  1021.0     2  3.57   0   0\n",
              "2010-01-02 03:00:00  181.0    -7  -5.0  1022.0     2  5.36   1   0\n",
              "2010-01-02 04:00:00  138.0    -7  -5.0  1022.0     2  6.25   2   0"
            ]
          },
          "metadata": {},
          "execution_count": 25
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "no_cols= len(pollution_INDEXED.columns)\n",
        "\n",
        "colors=['red','green','yellow','orange','purple','blue','violet','indigo','grey']\n",
        "\n",
        "index=1\n",
        "\n",
        "plt.figure(figsize=(10,20))\n",
        "for column in pollution_INDEXED.columns:\n",
        "  plt.subplot(no_cols,1,index)\n",
        "  plt.plot(pollution_INDEXED[column], color=colors[index])\n",
        "  plt.title(column,loc='right' , y=0.5)\n",
        "  index+=1\n",
        "\n",
        "plt.show()  "
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 1000
        },
        "id": "fOoIHa3p6q06",
        "outputId": "82283894-4803-4354-d0c3-0780f907a9a3"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "image/png": 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\n",
            "text/plain": [
              "<Figure size 720x1440 with 8 Axes>"
            ]
          },
          "metadata": {
            "needs_background": "light"
          }
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "from sklearn.preprocessing import MinMaxScaler\n",
        "\n",
        "scaler =MinMaxScaler()\n",
        "\n",
        "pollution_Transformed = scaler.fit_transform(pollution_INDEXED)\n",
        "\n",
        "print(pollution_Transformed)"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "5ESMVZlo8ivN",
        "outputId": "e5b0d044-0f3b-4671-de20-14b2bda5ea47"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "[[0.12977867 0.35294118 0.24590164 ... 0.00237151 0.         0.        ]\n",
            " [0.14889336 0.36764706 0.24590164 ... 0.00394662 0.         0.        ]\n",
            " [0.15995976 0.42647059 0.2295082  ... 0.00552173 0.         0.        ]\n",
            " ...\n",
            " [0.01006036 0.26470588 0.26229508 ... 0.42873071 0.         0.        ]\n",
            " [0.00804829 0.26470588 0.24590164 ... 0.43584525 0.         0.        ]\n",
            " [0.01207243 0.27941176 0.26229508 ... 0.44138468 0.         0.        ]]\n"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "from sklearn.model_selection import train_test_split\n",
        "\n",
        "train, test = train_test_split(pollution_Transformed, test_size = 0.10, shuffle=False)\n",
        "\n"
      ],
      "metadata": {
        "id": "HXQWT9td9VLW"
      },
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "from keras.preprocessing.sequence import TimeseriesGenerator\n",
        "\n",
        "n_input=3\n",
        "n_features=8\n",
        "\n",
        "generatorTrain =TimeseriesGenerator(train, train, length=n_input, batch_size=1)\n",
        "generatorTest =TimeseriesGenerator(test, test, length=n_input, batch_size=1)"
      ],
      "metadata": {
        "id": "oaZZ_QZr-cPg"
      },
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "batch_0 = generatorTrain[0]\n",
        "\n",
        "x, y= batch_0\n",
        "\n",
        "print(x, y)"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "x32MDnVAAJ_N",
        "outputId": "95d67631-0e80-42c1-ec23-68eb31121b0d"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "[[[0.12977867 0.35294118 0.24590164 0.52727273 0.66666667 0.00237151\n",
            "   0.         0.        ]\n",
            "  [0.14889336 0.36764706 0.24590164 0.52727273 0.66666667 0.00394662\n",
            "   0.         0.        ]\n",
            "  [0.15995976 0.42647059 0.2295082  0.54545455 0.66666667 0.00552173\n",
            "   0.         0.        ]]] [[0.18209256 0.48529412 0.2295082  0.56363636 0.66666667 0.00868965\n",
            "  0.03703704 0.        ]]\n"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "from keras.models import Sequential \n",
        "from keras.layers import Dense\n",
        "from keras.layers import LSTM"
      ],
      "metadata": {
        "id": "xDkfaBKXBQsB"
      },
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "EPOCHS=5\n",
        "\n",
        "model= Sequential()\n",
        "model.add(LSTM (50, activation='tanh', input_shape =(n_input, n_features)))\n",
        "model.add(Dense(n_features))\n",
        "model.compile(optimizer='adam', loss='mse')\n",
        "model.fit(generatorTrain, epochs=EPOCHS, batch_size=72, shuffle=False)"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "jW7heGTuCH_-",
        "outputId": "265e2b56-29fb-4cd4-d00b-d66623f9b74d"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "Epoch 1/5\n",
            "37578/37578 [==============================] - 107s 3ms/step - loss: 0.0105\n",
            "Epoch 2/5\n",
            "37578/37578 [==============================] - 106s 3ms/step - loss: 0.0098\n",
            "Epoch 3/5\n",
            "37578/37578 [==============================] - 104s 3ms/step - loss: 0.0096\n",
            "Epoch 4/5\n",
            "37578/37578 [==============================] - 104s 3ms/step - loss: 0.0095\n",
            "Epoch 5/5\n",
            "37578/37578 [==============================] - 104s 3ms/step - loss: 0.0094\n"
          ]
        },
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "<keras.callbacks.History at 0x7f024d0b1190>"
            ]
          },
          "metadata": {},
          "execution_count": 34
        }
      ]
    }
  ]
}