PROJECT_Time_Series_SARIMA.ipynb

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      "name": "PROJECT - Time Series - SARIMA.ipynb",
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      "authorship_tag": "ABX9TyNi7Y29AM1+QJl56JhT0nZO",
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        "<a href=\"https://colab.research.google.com/github/smasterparth/opencv/blob/master/PROJECT_Time_Series_SARIMA.ipynb\" target=\"_parent\"><img src=\"https://colab.research.google.com/assets/colab-badge.svg\" alt=\"Open In Colab\"/></a>"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "xnyxhtMiQ0c7",
        "colab_type": "code",
        "colab": {}
      },
      "source": [
        "import numpy as np\n",
        "import pandas as pd\n",
        "import warnings\n",
        "import matplotlib.pyplot as plt\n",
        "%matplotlib inline"
      ],
      "execution_count": 0,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "NI8TYWimRGnH",
        "colab_type": "code",
        "colab": {}
      },
      "source": [
        "warnings.filterwarnings('ignore')"
      ],
      "execution_count": 0,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "_Cg_KXpmRJYx",
        "colab_type": "code",
        "colab": {}
      },
      "source": [
        "from statsmodels.tsa.seasonal import seasonal_decompose"
      ],
      "execution_count": 0,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "PSRXZ3YWRPCl",
        "colab_type": "code",
        "colab": {}
      },
      "source": [
        "from statsmodels.tsa.statespace.sarimax import SARIMAX"
      ],
      "execution_count": 0,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
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        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 238
        }
      },
      "source": [
        "!pip install pmdarima"
      ],
      "execution_count": 57,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "Requirement already satisfied: pmdarima in /usr/local/lib/python3.6/dist-packages (1.6.1)\n",
            "Requirement already satisfied: joblib>=0.11 in /usr/local/lib/python3.6/dist-packages (from pmdarima) (0.15.1)\n",
            "Requirement already satisfied: numpy>=1.17.3 in /usr/local/lib/python3.6/dist-packages (from pmdarima) (1.18.4)\n",
            "Requirement already satisfied: scikit-learn>=0.22 in /usr/local/lib/python3.6/dist-packages (from pmdarima) (0.22.2.post1)\n",
            "Requirement already satisfied: Cython<0.29.18,>=0.29 in /usr/local/lib/python3.6/dist-packages (from pmdarima) (0.29.17)\n",
            "Requirement already satisfied: pandas>=0.19 in /usr/local/lib/python3.6/dist-packages (from pmdarima) (1.0.3)\n",
            "Requirement already satisfied: scipy>=1.3.2 in /usr/local/lib/python3.6/dist-packages (from pmdarima) (1.4.1)\n",
            "Requirement already satisfied: urllib3 in /usr/local/lib/python3.6/dist-packages (from pmdarima) (1.24.3)\n",
            "Requirement already satisfied: statsmodels>=0.11 in /usr/local/lib/python3.6/dist-packages (from pmdarima) (0.11.1)\n",
            "Requirement already satisfied: pytz>=2017.2 in /usr/local/lib/python3.6/dist-packages (from pandas>=0.19->pmdarima) (2018.9)\n",
            "Requirement already satisfied: python-dateutil>=2.6.1 in /usr/local/lib/python3.6/dist-packages (from pandas>=0.19->pmdarima) (2.8.1)\n",
            "Requirement already satisfied: patsy>=0.5 in /usr/local/lib/python3.6/dist-packages (from statsmodels>=0.11->pmdarima) (0.5.1)\n",
            "Requirement already satisfied: six>=1.5 in /usr/local/lib/python3.6/dist-packages (from python-dateutil>=2.6.1->pandas>=0.19->pmdarima) (1.12.0)\n"
          ],
          "name": "stdout"
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    {
      "cell_type": "code",
      "metadata": {
        "id": "mo9suwkyR3UU",
        "colab_type": "code",
        "colab": {}
      },
      "source": [
        "df = pd.read_csv('co2_mm_mlo.csv')"
      ],
      "execution_count": 0,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "UokikRdLRkGf",
        "colab_type": "code",
        "colab": {}
      },
      "source": [
        "from pmdarima import auto_arima"
      ],
      "execution_count": 0,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "9LTuStkRRzm9",
        "colab_type": "code",
        "outputId": "dd212b09-9f7f-4c6c-c778-2898e157c9fc",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 204
        }
      },
      "source": [
        "df.head()"
      ],
      "execution_count": 60,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
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              "      <th></th>\n",
              "      <th>year</th>\n",
              "      <th>month</th>\n",
              "      <th>decimal_date</th>\n",
              "      <th>average</th>\n",
              "      <th>interpolated</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>0</th>\n",
              "      <td>1958</td>\n",
              "      <td>3</td>\n",
              "      <td>1958.208</td>\n",
              "      <td>315.71</td>\n",
              "      <td>315.71</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1</th>\n",
              "      <td>1958</td>\n",
              "      <td>4</td>\n",
              "      <td>1958.292</td>\n",
              "      <td>317.45</td>\n",
              "      <td>317.45</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2</th>\n",
              "      <td>1958</td>\n",
              "      <td>5</td>\n",
              "      <td>1958.375</td>\n",
              "      <td>317.50</td>\n",
              "      <td>317.50</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>3</th>\n",
              "      <td>1958</td>\n",
              "      <td>6</td>\n",
              "      <td>1958.458</td>\n",
              "      <td>NaN</td>\n",
              "      <td>317.10</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>4</th>\n",
              "      <td>1958</td>\n",
              "      <td>7</td>\n",
              "      <td>1958.542</td>\n",
              "      <td>315.86</td>\n",
              "      <td>315.86</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "</div>"
            ],
            "text/plain": [
              "   year  month  decimal_date  average  interpolated\n",
              "0  1958      3      1958.208   315.71        315.71\n",
              "1  1958      4      1958.292   317.45        317.45\n",
              "2  1958      5      1958.375   317.50        317.50\n",
              "3  1958      6      1958.458      NaN        317.10\n",
              "4  1958      7      1958.542   315.86        315.86"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 60
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "ZjNJ_NtkRz0P",
        "colab_type": "code",
        "colab": {}
      },
      "source": [
        "df['date'] = pd.to_datetime({'year':df['year'] , 'month':df['month'] ,'day':1})"
      ],
      "execution_count": 0,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "Liv9VyXrRzyK",
        "colab_type": "code",
        "outputId": "3cab12e6-78a2-4f56-f04d-841534eb9023",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 204
        }
      },
      "source": [
        "df.head()"
      ],
      "execution_count": 62,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
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              "      <th>decimal_date</th>\n",
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              "      <th>interpolated</th>\n",
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              "      <th>0</th>\n",
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              "      <td>1958.208</td>\n",
              "      <td>315.71</td>\n",
              "      <td>315.71</td>\n",
              "      <td>1958-03-01</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1</th>\n",
              "      <td>1958</td>\n",
              "      <td>4</td>\n",
              "      <td>1958.292</td>\n",
              "      <td>317.45</td>\n",
              "      <td>317.45</td>\n",
              "      <td>1958-04-01</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2</th>\n",
              "      <td>1958</td>\n",
              "      <td>5</td>\n",
              "      <td>1958.375</td>\n",
              "      <td>317.50</td>\n",
              "      <td>317.50</td>\n",
              "      <td>1958-05-01</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>3</th>\n",
              "      <td>1958</td>\n",
              "      <td>6</td>\n",
              "      <td>1958.458</td>\n",
              "      <td>NaN</td>\n",
              "      <td>317.10</td>\n",
              "      <td>1958-06-01</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>4</th>\n",
              "      <td>1958</td>\n",
              "      <td>7</td>\n",
              "      <td>1958.542</td>\n",
              "      <td>315.86</td>\n",
              "      <td>315.86</td>\n",
              "      <td>1958-07-01</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "</div>"
            ],
            "text/plain": [
              "   year  month  decimal_date  average  interpolated       date\n",
              "0  1958      3      1958.208   315.71        315.71 1958-03-01\n",
              "1  1958      4      1958.292   317.45        317.45 1958-04-01\n",
              "2  1958      5      1958.375   317.50        317.50 1958-05-01\n",
              "3  1958      6      1958.458      NaN        317.10 1958-06-01\n",
              "4  1958      7      1958.542   315.86        315.86 1958-07-01"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 62
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "1l0WBOylRzv0",
        "colab_type": "code",
        "colab": {}
      },
      "source": [
        "df.set_index('date' , inplace=True)"
      ],
      "execution_count": 0,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "ZYxJ8QcYRzuJ",
        "colab_type": "code",
        "outputId": "94aacb5f-0674-4c32-db7a-e05c96612f8c",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 235
        }
      },
      "source": [
        "df.head()"
      ],
      "execution_count": 64,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
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              "      <th></th>\n",
              "      <th>year</th>\n",
              "      <th>month</th>\n",
              "      <th>decimal_date</th>\n",
              "      <th>average</th>\n",
              "      <th>interpolated</th>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>date</th>\n",
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              "      <th></th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>1958-03-01</th>\n",
              "      <td>1958</td>\n",
              "      <td>3</td>\n",
              "      <td>1958.208</td>\n",
              "      <td>315.71</td>\n",
              "      <td>315.71</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1958-04-01</th>\n",
              "      <td>1958</td>\n",
              "      <td>4</td>\n",
              "      <td>1958.292</td>\n",
              "      <td>317.45</td>\n",
              "      <td>317.45</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1958-05-01</th>\n",
              "      <td>1958</td>\n",
              "      <td>5</td>\n",
              "      <td>1958.375</td>\n",
              "      <td>317.50</td>\n",
              "      <td>317.50</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1958-06-01</th>\n",
              "      <td>1958</td>\n",
              "      <td>6</td>\n",
              "      <td>1958.458</td>\n",
              "      <td>NaN</td>\n",
              "      <td>317.10</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1958-07-01</th>\n",
              "      <td>1958</td>\n",
              "      <td>7</td>\n",
              "      <td>1958.542</td>\n",
              "      <td>315.86</td>\n",
              "      <td>315.86</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
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            ],
            "text/plain": [
              "            year  month  decimal_date  average  interpolated\n",
              "date                                                        \n",
              "1958-03-01  1958      3      1958.208   315.71        315.71\n",
              "1958-04-01  1958      4      1958.292   317.45        317.45\n",
              "1958-05-01  1958      5      1958.375   317.50        317.50\n",
              "1958-06-01  1958      6      1958.458      NaN        317.10\n",
              "1958-07-01  1958      7      1958.542   315.86        315.86"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 64
        }
      ]
    },
    {
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      "metadata": {
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        "outputId": "2f23d5bf-1647-4066-a049-82944baa6284",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 119
        }
      },
      "source": [
        "df.isnull().sum()"
      ],
      "execution_count": 65,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "year            0\n",
              "month           0\n",
              "decimal_date    0\n",
              "average         7\n",
              "interpolated    0\n",
              "dtype: int64"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 65
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "PR3lrWRrRzp-",
        "colab_type": "code",
        "outputId": "5cd180c7-ed4d-40c8-e819-637df8314842",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 405
        }
      },
      "source": [
        "df['interpolated'].plot(figsize=(12,6))"
      ],
      "execution_count": 66,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "<matplotlib.axes._subplots.AxesSubplot at 0x7f4602420f60>"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 66
        },
        {
          "output_type": "display_data",
          "data": {
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\n",
            "text/plain": [
              "<Figure size 864x432 with 1 Axes>"
            ]
          },
          "metadata": {
            "tags": [],
            "needs_background": "light"
          }
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "AfXW_DioUi5S",
        "colab_type": "code",
        "outputId": "183e82a8-04cb-4219-effc-9f1a5f94f8cc",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 297
        }
      },
      "source": [
        "result = seasonal_decompose(df['interpolated'] , model='add')\n",
        "result.plot();"
      ],
      "execution_count": 67,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "image/png": 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\n",
            "text/plain": [
              "<Figure size 432x288 with 4 Axes>"
            ]
          },
          "metadata": {
            "tags": [],
            "needs_background": "light"
          }
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "_zQfo_QcU-UF",
        "colab_type": "code",
        "outputId": "4b9df4fa-d439-47f5-9e77-7bd06c51988e",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 514
        }
      },
      "source": [
        "result.seasonal.plot(figsize=(12,8))"
      ],
      "execution_count": 68,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "<matplotlib.axes._subplots.AxesSubplot at 0x7f4602255390>"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 68
        },
        {
          "output_type": "display_data",
          "data": {
            "image/png": 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KY7sqHbitbQwGkLmgHEZkgpHn3uEObmZuEEe0Js3IBMxblz96xphgbgO+D56kGwfvW8tJACZg3ksOdr2N/V54stfB4Pj97IUn0Mb+LmbCkOdO3xpS0pI7aEtg2hoSgKhmgbQHwQQnz/UOz75M4EnarsoE71VbD2m7ndBObD3WJJc44E7As2VSkvnuyWOYE2fogMnqVOfGacbZFgDKNRpbRpcHnfwmnvvyGodBaIIpNoYIxJF5W5gb15TcKO+jYY4BHaSj3ikLtZa5YQJbBk+8tDqDJwxWvpoF7bZt6liZYJU757Bt1ozCk5mxxWUL0OG8+WDcPpmlvfCE6S8ij1mzod1NDkZs7JG2FxNMZc3SuMfdKD+DTDB2fSCxI3pgTDAT2DJOwLNlPoa8vx7DvNh6ToAJrlenOhmGGan9S2hsKedC2L4S2V0iAIWeS9jGbwJ5Dwtzgwft0KGX+FzEwc3Mjd/WVLNgmJvNzzmsZG587e7+eOI+l8KTfUiAVwd8bOsPHDMB87bYw1SSYHS+a/AEei6BJ6/sjCdIID5jJfDcNWQaEyMxdY2xPuzPBLvyKgKnmHWftuswwfGPM7X1HggTTE0awwQT6UDGCbgpSYaNIWyZ5zKykHF1wOzbzpUkEOcy4ADMpCRjYIBIPeagkglAN2aCZ4Zl46CdY4T4/kIBM6Fh3q2u50rmxt3QMgzLXnhCObinQAIQTJP3XWYB88bSMQZP5sAW6MMsr6LwZJ/1+azgySL1wKUTzOFkpFExEiUzW8cEb3l49mWCKGSwJ21XZYIhkTp1LeG63ch+k7ZlYIszq2udgMvGEM6QYsQJB7eWudm6tmg0QZiFV2egxAEYKcE02xKH0hjmhtHwMZUkOEYIdy4Ue0Q4ekQbSB2mWckEe5o46vBsiidOfzI8IaQTW7K760mADTfryTt7dTecQpjg6SdVSWI3PLn++twLT5BMGBXYMpUv5rlgGGbihjuiBjLSUjzZ8vBsvua2iznSdlVNMKMRQqibtboUZtKYgM4PQNexpf6Hwxw4SftAOE7qnXkMM+O817JSOHODFazHHcYClDgTjAWgzGE3xsERDmNmWAj98ObaQMa58EwTM29IW8sEew5xLRO86WE3gi3N8I86P0Fgz6Z4wpAAOLan49l6Y39HbcB5POHWJ8EEb4wn3NkFnuVmgmvKDxC2yIVIEU+wsws4UZjHHFviycpYhpBKXpUJxjQ3kw22K1vL7m6nc3t5JWOxJRO8tg9+SaPkuQ57xJzUTMfmaauoQHyt4wQCZgYoqW94BahSwerGGr55bJDWjgjEYx8ABmthrhFbImBmbJkUarI23BPP1LmB6+PJK08BK5mNso9TDNPEsMb7ZA/zgHlrPMFtl0NpzPok1tzGePLybnjCYyUjddvLDyAlLbnYgMATIltExV7PIhPM7eBwW8SeYQso25XaNb+/zIGTfYK/XO/MsLAbstxr5SYbMuJ3Q4BvopsC5jUMwLYMKJMOXFcdgmFuiLFdUcNHjY3Qcj8VPCGCtIeAJ4zE62q4uvqkOoOr2/X3PIxkKTNetrD9+nw4eEJh5QNgrtnDhFRpRKYs66bnhdZhxIMPgkfiFH56Kwxz4nlT3RjDGhNAme2IGAZ0SzH52rFtqDXOGZYN38Na5oZg57x5uxsCpeF7mQA0Kr2202nuNYfzth7bGg3f5kxw1A8HpDTiujW3pSZuLXPDsTHbBXRr2SMKIzbUUVMs2lo/4F6ahM/xMIZ5vii50ubrk19zm2MlhRH74glXzYIjCrc8NMpldXC/vLZ61YM/GMecwme0pdTlEwTzR9nuxQRTHwPBNK0d25ZM8ErHyTnZa70HvL8pc8Nod6kDbAxzs/EBGY4JwYPrdbbc2JgbHTlWc6c1t5dU6FnAk50q06zNNG6po+YygvjGnmG5s4B5a43tqo09jidY+bf98QS2JfzAMAb/8OxuPjzFiA0zKmuzRQ/9soylOgR3Cwi3wyBYWIpZ2EnnRjA322riVgKlo62iNHwUK8XsIhdb7zT3bhpxisHHv9/zMM6O2Bvb9GxCN7Y3u8HU39z4EMmasYlse/HN02BLqWzRTgwol1HZEE/20kZTh55T//Lw8WTtoUpv3sYxJNVxEJzi8YSp58uxu/vgydYl6NYztgw5ReDJTucRuIzKM8IEi7DMwl47dYax3WfnQl2FvKkmbh1zs+XtLczJUu606DomeNN5W8nccGwXwdxsfOJ5qWaxExPMaOJIlpthd7fVlj4NPGGeu+F7IIiItawUx1zvowneNLO0V7aTwhNibMS85aXibNsQloB5++oQeCDOYM+rRNC+pgTdCMir1mt3HwCe7NTfZ4YJFtlYl0JVGVjJLDg7jL2uI+W0gWtZKWa3t+XY1rExlNaYKtuyT3aCeQ9bnpplLyOZmRvq9DnBBO+kCWaCdhHkm1j3rTFnAdyMyk5Bz1oN326VabZkpZgM2+oSdIx/2XJs69hdzmfg3862GnF8bCGEuc9cPd9t8YTS467MQm2q2V+pCX4IeLKlT0zb1ZngLW8gWl0dYktN3E4aFo4JXrfTorTGm+oe1zIW++g0t7w5anV95yt9kynQIJUvloD5+ho+5PDs09CWXmvunjk8WZl92c1nUNUhdhrblniyluXe65vc8DxNhlOObVrSkmJsN9cEj5f+IOzuyljmWcOTDa9NfiarQ4hsrEtZqQm+1k5rbWUGSsO3qZZnr7GtY4K3rSSx09jWVrPYUve4WldFbBwI5mb7WsXr2I1tb0jcn7nZUhPHVbFZiSfUN7wdo7i2Ms1D8C8MEcFlwvaZ4y3Htr7CgL+xXy7oQnCKZ42nv7FPBnHTb20nPGEOu1FnDNaehXrwTHDy/7uaIsLR5rbOTpKxHYgFx+x8id0s11+cscj669kS74HZRa6eN7e/eLCxft42/H6Htd/kdmN7lWKl8LFlRf6B1GHsB3J4lukzNc/Ut7Zu7hhMQ5z9bEu9B6K/xFxQ3zDT3y3HRmEP7mTXvt8ttcbUN7kSg12fsdYPULbbzcUwciUt03fssbtrfe3VfAGxPpnsC4cnK9fcQ9cEhxDkhdP0pz1N3HlcbL0PZ0hskbqI83Md2/Ow2Hq773PWB6e/w7r+bjq2kRvb7Wm6b9H7eCMgvHDq/fdw+WBfOPXux5vaervIuBhfOPVuf89MfwdmbIutD8DJ2IBvErYlxnam+pvYUt+Dz8aMQZbv3fkmsjW3F54431q25rz+EuueWp9Duu63xMpxFZ4wY0O+SxhXxyB9J9J3/lxk2EOtow3X3EPAk9XvYTtcXYs9iD+cbQEsSfvrsbsMnpxX4ok7vqeAJ8h3uQeeMM/N4pOHzgSLiLzmBnNwwxgWW++FhcXWBb/M1n5hY2oLfAxr+oAs5KUPjK0zNtK27zq56TuoDyIiL9wgIDX9fM0N7gRec+MHXlF285obH9gzW2Delv4Stm7QJUl/ibF572Ek+rvS1l0XSX89TVz6XBHgu0zXkTN34154wqwjBnuI567FEw57tsUTBtNeIObt1HdyAwWV008eT5j1+QzgCfMeRhxX1+KJO2/EXDA4lc6biL0+Q5huDl2DJ0zcw6z7LfEkj3v2wRPE33P9PUH9TdvV5BCvuSUGdou9sHHEbYdx6YO3IxqS53qAlvcXcMi32Mc7EO+BGlsIckt86Ke+k1tg9z2GiY25PXU48NwiTkBw25GxxfswJraww7j1meusDwBIws8NRH+zucBtPU1c2l8Re22k/fVs47NRPGHWEYcnYRWeQI4TxR6ivylO+UEEgyfr5g3Bk5tTJ6cewJOIU30HB5Uv3PTAvE0/6fX5LOBJupaZ56Lkwi0RgJLvDN44XN4vg1NWn0tMw/EE2iDG57rfWrI+AV+A4smwE56MI4ERJJ68CNqm7WrVIWLEjlDcaHSf2iKU/PJcZDcy2XqFz89D2gc/PQL3d9hvbKe+kxdOvT+2MTIsHTQ2NGCOfXzNzQkIxMfZFnkPiy2WiuNtsfTaa25OEOigz81svTRc8n5dCQnR39Q27ZPXXxEnCC5sbTZmfBB4ElbhCZIqn7EHkHrMfQAkGevwBLfFWB4cK2/6KQuFzPGp6+QWYirHGac47EHZx2cFT5axodKmzcdG+AHmuQyeaFtrY6Txb0s8WR3LeHNH4Em2PjfEk3PW3+vgSdquJodAI/Yxi+79l/AizG6ktv7uCbUdA96H1BZJ/8zPdVnjidnoIE3c5DBuTr7EYQxLYIuwUn0Xg2AwtXWLp/heBJiFCGgv3mL9XZ6LsRsvAmxp1gfwPdBjY/pLvAdPE5faitjf5aBtAUf0IsBYaNst8YTCHgIjVuMJkIVa0193zQVsjkV4XJ3Z3S3xZAzS953c9BieLPjHYA8WePF4wq1Psw8Ungjc3+y5FJ4wOIXj3xjsw7P3wRPrXaT9FbHXkcZKDk92imWA7MCqWIbAEyqmI5jrh38wTgK+cwk4u5FqQvwFl+wMAaBcw/JgOkJsFzmOQV5AxzZepAg9pok7XRgWxMGdZk0wxjDfnFAHN/UX1+76DOgsnUCYm+S5DBPC9RdM8bH9JVgpXLu7Lbs7quda72LRJ/prTvd3SzzJbBFpE4gn44ixUiLrGWamv9TYADx5AcbVnfBk3qxjG/u+lym4Br4dkWl8++EJ81wGTxjWeMP+jmvfA46rIhyemEwwgSca/6w+l89l1hwRyyDSph3wZD32bIiVxHtI23WY4IAzN4zO4zwSbGn6XFcDNSa7HLy/iLYK7e90qhPTxA1jkJu+l9sToIm7pAORA2wpE4xUkljSjD6w3/S93N74MguGYYkpPpZh8ebtnPaBYCyQygXLc73+ytJfgmHxNHFxrpCd+qCZEMM2HVv6d5DnWuNjmOBxnA6y7IEnZwpPOHZjd6wk2BgET26IAHSRYvkbkkVe5c/FDWibYSXgB6b+Yht7EQxPMozYEE+GtThF4Amif5/7QDDXY7A34BqnGDxBpFh723rvYnUsA6zPNVkzZJ53wRMmwzaO8OG8tF3tYNyLtzgTgtqOmS0yaThjOz8XEJ4vz8V3Wh5QTowFronrL6ej/fRIZIIx7e7CsPjpkcgwIwuo7wXrA8VuTD9fvPUZiyVI8xmLMbHFHRyu4XvxFtHujrOtG6ANy3NF7HW0ODifYUn7O/0dOwDN+9C2TceW9h/pAxa083jibjQIPDkzOBVw/KOwMuBjSyszIHjSk3iCSRHww25zFRuIBJiyUDc9Up4xSidwnELWJ7PuM9sN8SRdGwye4IHtCT48i6yNAqfMAHQnPLmHrbXmCqyENtUrYhkoEAdZYxJPUPyjsHKcyqn1nd/ftF1NE7xHua+8RBASgKInH7GSKdNzibERmriYOkTYjSkAnSoz+KnZixNAHFGIzgVxGEt/oaoTHRhcJ/2FqxfQ5b4whwGVPxrTPhD99eYtsR0cdjftrwimiUPWnLa1+lzYWoH4nL5E2N3c1kxJEmMTyfFkS+wZGdsRm7eivxuXYIqbXwRPTsT6ZPEE2tjPATOmrZ/HhvS3lwsRgW2UIfxbiSdMWUJk3mZbWIrA9Tf934gtJkUAMlZ74YnGVUhmwdsiMp11sYw/z+vwhMEp/7t8gcDKvpdpk/rQNcEiuHYjq/22ocaW0fsxpw65SUvr7mJgjWjiFq0d5jCmdCAGlKeZjQaZ4BOmNY7sEeLo0cN5jB4t0+6CDo7W8BG6PN9WZlsRNKjEmWBI5zYStoQmjtLlaW0gMTZbRxiyKjaUJo7CKWSzjmMPozW+PeGHZ/sVeALh1MzuIgHohd0FggIYK2dbrL/z2GD5Bh4wI3gy7oYnBKYleOIeniXW8rgXnujnboUnGlcdPMn6sBGuhhB2w5O12IPVKsZx9aYHicIoqwTiqbRdvToEljrkNbaItmpd1Qk/TX1z6mHZws1FE4f0AdXEzbaAxjZKJxAN39xfgC1YpBMYC3vTTyWNvDJtKXODShyQWpKpZnVL21xr548t2o7BY03G2VYElRf437DW2m2lx2U0ccOAP7cYm4EnWpdspRkLHSGDJ4BWcw3+QSWYCP0wgyc3YEAXpU3o+jxd1j2CJxErmXrmLp4kEi9k3uba555kYMTxL8MTsCzhpMfF8YSpNoPeLvGkFr8AACAASURBVIdoVsszBvj6ZLCHqTaDSScQPFEYbOBJgT0Ay43EJ/Exa84NIHiy5owBVBp2nuNt/X0P4knarhgE+zqPeCMLo7Fdo6NBtFXobUVjSEruoAwool0LuCYuTQdih90wPW6qS0alE5DjTMaGSidugMM0c9UJ4HBeqsOiNHywc+E0fCIeWEtma42v1M/5TAikn2Oeq8ZmOjhC7zeq9+AdjEttsZJu/FkA7PAsfhYA1cSNF3YX0cQNl7VM4QmyoZ3PAmAHNk8gnizSCSwQX+RVQH+jzAxkrm9O/mG3McEp9IzBCzfMYTfujAFy8HB5LsbuXhV7dsITjasM9iAsN4InXH9x2/hsBk9QTTCDU/M6Qvx9WGIZxN+fuhjLPANMMKblCZktctoY1ruM+2ji6AAU1MQthz2wVFwP175cHAbqXJCDIYt0Aih7NnL97eeAmZg3WF6wrSYutQ0eu1tod3Fb+wCb5LaMJg5K8fH64c1s9XtgNMzAwRv0PUzSiRVaYwBPUHnVkOAJUo4P1diOJJ70oL4/P+eAOk5ms45tfpmN/cxKufMm1K11qCQjv7LYD0xmW3Bjj+lxJbNlsAc5PIuso6eFPVg5NYBhJvEEtiV8xiKdwPGEueb59oTHaShRyMYGaGnEtF0vCCaYptcAu0iRSLOjNeXwSUsBGLZFJ+2EaeLmG5PAwyk3J1BjO+IAPAM7mA5kUqg3Pei8w2JLzZvnBMLCxuAyC18TN4z6Gwa0YES1BWgdaVsrfRlvjiLY3dcADCg1tqD7azx3IN6Dfq5hey7mjcEpYAMOvAeRuDZ68PCszHiCfMM3xMY+4gniDG/ggE7wcwNB8LTokGKlH4DO2OPNxUBs7APuB2bpBOAH0m8NPux7e5JhDNCFEsjaYLCnwBOiD9bcletzIzyhcHUkbHE8obCHwlXJbYH1iYwt9pkhCm9OGFGYrk88lvHxJG3Xk0Mgu6dI9QO2s3QClC2cLwEocl3wGrYUZjc6TMMSGdAXTv6d8efIxpAaWz8VN8Jp0cjGoO9hHhsyb6jeL50LsAYoNDb1XUJp9RXfO3Jl59braE5frnkukuJDxjYoW+O71M/d7D3c6/0Cm/X5PSDrU0DsGWE8iQwotjYmPHkBqHCS6XHdutj4mqOxp8PxBMWeTDrhzjGHJ4zP6DqBxyaSfJdIucONsafAEwsjmDVHrPv98EQI232wR8+FhSc8To3ywuXwLJr5ZfAEPQsQ16d7zXNIY4NniAmmmDEg2LgBNXFLOhAo6j4SAV0W/GGThmri4BQCo7GdtbsAyxPSGqBYAIpo4qj3kKZbkVPt8+4UYNGS/trs7vRzFQuLVC9YwcZAqThCE7eGAYVOfq95DwRzw+AJw0px8+Y7OEYT14PyqlwyAKw59OxCtj6xABRanxc8gcc2Sz2wQBxhYTM/gKRmCXlVDwe2smTjYFzt3OuC77XmdsITqCrMGjbaeg/PGJ7c6z0QjLhHKo7Z+iQwYkt/n+EUEKd1HXTzbNqurgm2HWduizj6CCZIGoyZtBsGVHsBJ40Byom5RjRxKVAi/Z1SnajDiCe/QekEevBm1hqDDg7R+zHzFi6n2vtORDbU41La3dyWqjuJOMNV+jm8v5DD2LhWMaOJu08NUGbeTGcYcYoIvPBvWBI9LiqdIANQRNpE4gmGUzKvT/gCIFJrjN1sic/bdOCYIC1A+UYkWUQ47KHW/UZ4om230uzfC3u2wpPi/QIB6Bo8obTG/vu9PXUuURgfgxOFQmR1EuIN9veYZh/FyrRdLQiOhz3ix1Fr0VHGBW9hSZzgU9/JqevEeOx8kOXUT/XnrD5M/ZiA59Rhtjd9f7E1Tadyan0nPWAbHdGpt8c22zJj61DbUW76XnrANqYve6q/YjKw2hYZ2wmdtyHMYxOxnz2PrZtsg7Hmo2Y1fu9WN+I3jK2NfWzLPuD95cbWtqXGNjDvYYT7sGZs0zdhf8Oz7enyXToL/5yse2h9nlA8maQTe6xPHE+CnC56Zw57vP6OkB+I/WXwhPYD4NginoTgfD8XvfOMPc532XVTIC5yHTx5mNizFZ7cB9Pw/lJjMx4c+4Csz4iVNxGngFgm4gkSy9z0nfSUv8d8eA/apu1qQfBND0zw5T/2jHPpJlvzEEBIbf0XFlNmHfAxREq+63xQHcbL2JCP4cIW9NBzwwyq7tguz8XGNrExPeJcwjJvW/Z3eQ/YvPXovIWpnBrmXJbvLP6u1V+R5XtHnABiO2pbIxAvbIE1t6zPbfrLvIexsG339z621NgAhgX5LnOcsr/L+Dd7Zn12nHPZa312KK72Ao0txRNobB04NhJPZj8AsLs9OrY4bwj2hIBjT3wPQBDMYMT98MSwHYn1eS9cbfeBwRMK/5ix3eO5yLwh/j76EySWSaUT8Prcw98HPE5L29WC4NvTtDAHo7dxIqLDgGwvL2wAPpzoXDz5SKTZe4AtmCZt+ngQoIy2Vn9FlnRD57yH2Id5bOiuzNk4xOdGx+n3d2EsvP5GHSFiO2SOyDRNxtbNfTKf2y/OxfzW4nu4GFvvYnEY/vcenxPXBgJ+kC3x3FE91xybeq45Nv1cwhYJQDFbgfswalvg/S7fcNM0k215zmVx9Mz6BPEkJFgJBXQ4nszBNYCraCAepRNQf0fMD8T+xo2y6wcy5w3YAoTM1N8Fg0V8POkTTPPwJPoM77nzt4aso/vgiYOrqC2FJ/d4rqm51u+BwRPmPSBBMIFTN8CaW3BK3MxvHArl7+f1aZrS6/PmhOFJ2h60HCKbNIdmj/Q9koIfk+d6Kb4onWDSYGiKbwrSeghUY7oBSfFFUD2BuzI0fTnEsUHvgUyPnJZ0oNViAIqkL+PBuIuaxv3W4rx5tvE2vDm4dp4bv18RhwkpUnFt2/g3V6UZgZQZlrYTwjZ/rrk+iz4w/SXeA4AnjBQLSfGlbIy35tLNurfmYg3QZX22+yuSp+Ch9UngCSrfGAk8iWNDpFjnRIrlBeLx3MDWUqxhxinUZ2CMrcYTj/mLshARn4XtQenEXrKtp4UnCAu7Tjph9LfA67atfmdoLINmy2c8ATYDyPrMYi8CT9DNL7M++w6L09J2tSD4BCziGBRAcoiQ2yILE0pfxh0RkL4UIVN8Y2RAkQlepBMQqIJSjwjsSPpyuLAxCAu7SCf8sZ2T94DoftakZkX8by3Om2fLSCeijnBr6UT8htel7dq2ZarTB7+tU3zM2PZKX44KT1Dn4n2XFPZEWyDFF//bCZRiMdKJZX3ieILYngk8GcaF5fb8GyOdiDrCrVOzsaYwLMXqUSlWjifW+BY/sPwd67n5xt7ug8gOUqwHgCf3k05Y/b3H2ADSYmsp1mLrxzKpdMLDk1k60UXSC9wgsusTLw5xxSAYSBVllDwqh4CkExenhaQvEwfXoSlJMA2WAjuSQsClE0n6EkhJLk7AsZ0/SJwJwVKzCxOC2KY6Xw9M4vcQf9fsb+ownF0yLJ1QfUC+y7hB3E1eAATia9KBm0kniOdScghibAOFJ9q2aZphj7c+U+mEt/ldmBtMikVJJxJHtLV0Aj43EJY1B/W3Q2UhAZrjub+oFCssG/vYJ+u5KfZ4a5nBE0Y6EfWfSB9EEukEgyfEWt4KTyh5AYURzNgE7y8hxbpXLAPhyYo4DX7uDnhy+Ya9dZ+2qzLBcDqw808oLqyUn4LPJsLZuaSpTq+/mXQCkRfEABRJmQ0jLJ2IAR2aQoipTkR4zp78hhxyxlybpktKEmRNYvoy9r/VosOA5BBxbFDqcJHoTLbt/sZbvGIfkBRfTNebKfgI7ET6EpMBCGw7P5dIXyJjG0Z8bAMxNi2vgm1hrZ2/PmMmDKlwkjLX3vpMpRMwnsyBuG17HnHpxDjjFH7IlZGkoVKstDKDZxtTs5jUY8EphIVFsIfBE1aKdcqwx/7WOlI6cQtIsWKQswZPEH+/O55AAfPGUiy1Ud4sliHwZMEpX4qV95eoigVKseLYPNu0XTUI9lN8cdJ6d+cyU/KEdIKSQxC2N2gabEy1MY5tkJlZQKQTp5Pf38mWk07cnPCxRTbG+x6XgyxIlYzFVmTDFN/FYUByiITBF/E1W2l/ve+Slk6cgLFFACbkEAsA2xuH1BZyLsSJZ8q5MOlL6EDP9BP5LkcF7FAVm1XY0zTNHBwjnUDWXHrQDNXlMXiCBuLz2FwpVlyfHJ6gZwzQ1Cyq3U0laZ4thSejUHjCyCFuCFuRHbGHkBcgz2X6ywS2Cxu9jxRr81gmwRMXe+JzO4HjNARXo3QClkMk/t7Dk7RdLQhGJvg87zD8E4qaksepfptm1+lLZFGgKb5Uu4sdyvDHNtmOcIovlU4gurxZu4uwu/B7WA7p+CnJ5dCLiA88cd5in9p94AJQVGuXji3+brO/Y1DyjaapDOPExiDSiVkTt6bqxEbPLQPQpmklLWrYEoHtOWFW3XQghScyPxdOBwKZjxx7MAYfWZ+FdAJZnwSenEg8QWRmi3aXKSfJ4QkqnYDPe/SLvMD71lLphKvzBfEk9QNTH9r9Hcc8uPbkEKl0AgqmTj7DfCawp5RkNE0r0rG2LbNRZqQeGiuRG0kRckrjCSPFgmIZYH3qeMqe41H1lwjwgUOucc156z5tV9YEO1q7sEyElwZbXlgPa2OQWpLpYvOcy8wIAf1Na4BCYB2mFB9VyqdHDpHgJzWZE8+Mznc+yEKkR1AAjvMm4p/aj/PmPXccw8y0x7/T7kNeA9RayMMYmbyl/23bvL9IRQKEWV2cAJ6Ki8+115zkthDLDUg9VowNWZ9r8GRhQH3bORC35jjJLHmyIqbqxMJc9y72ZDVAkfW5J550/iZDJAZ0oNRjxOZtss3xBNH5onhyA+LJJAuR5LlWf5fvzHvuEPQG3BlbygQ7a65PN+vQRhnBnunnGjzhJFP+mkOeq3EKik96P7AttLvIe+j9WGbYCU+yjL2DJ7qcJFLu8JmSQ0y6MTDFB6Tgs8DWLVM0/UR2Lpku2fkYipOawKEXRMMc+3HqBdL5LikEPMWHl0jDHMaZsNV1Mr25Q7V26W14k227D4x0YmbwETZajc0G4DHTJXvSCUYbKCLyAqG1e4EAdsQ2no5+gZBOIM8t+9s0VRtaAk/QjTLAVKbSCRdPkuo4ri4vwRMPKxecElfnG/8bMjaR/fBkDkABrIxVJxCWO12fTAkmETJQ3AhPJkffLySAE4CiOl/dX+tVDOq57tjA98CsewZPNE4hbPQLwKZ6DfYwBwQRnS8jxVqDJ8j6zPEEC2yRjXIap3mBra46QRDB15VDXCvFp+vaeTvkaOuXCsF3Llo6gd+CRNTJBFiThVnlWFikADyqYU5LMMW/07YdYVCNTgCRQyy6vKX/TdtAlinK+gsEtojDmEvFLb/btB0n6UQPHBAs04z++mRSfFAxfvVcJMXHSD2YFF9/AXbmjAEiTUGcS8pcbynF0sw1lL4k8QQ+5Nph6cuBwJNFuwvILBgpFrPxVHjiZTwZPOlBPGED0Bh0ifh4kmGlE4CmUg+URIq/2+7D9HMNTnF4YtgG/VxsbJ2n853xBIhlEomXtz5TPGEzVniFCu/7nV4+Vk4yl06g/e2fGTnEzICCuxxPXqApeeDjXQLxti2VblAODr/m2fl4RzU2NwBNHb1pmjAAvsPImRvfYcA3yIzLQRYRPw3Wg84lHZsIyKyi6cvE1gOevk8D0KbpqvRlB/S3OMhiOeSZsdg4xReULbDmoIMsGQPKrU9IwzzjCb6hhYLVDt8oI1KsUmvszxuyPrMaoA6epAdZkI1yiidb6nzHEOAM2xiweZv6K3Dwp/HE8wUMnpxAPOF0votWNP4dq7+ZdML5Lhns6RPpBBKAMvICBk+oQ3REhR4oWC38fdN0fs68PpFY5kTofIGNss6wIXhyAvAklU54G+WSrHxGgmBYlzdLEdrPyyh51xlK9lw0WEX72wP9LdINxseg0w3e/MYaoCfEuYycLm9Jpdh9mA+yALYlw2IDxCkBSqROMKafw6UTmrm2db6M1m7M+uul+OLNP55tPHiDjk0kPZzStqVqgA5E+lI9l7oFCXBwyPrM8YSRYnkBqFye27nrk5FiFe8BwhNGl8cdOKbwBGSNkXkTIQvsX/Ckh/BkVHjiBXQcnqA4RWl3GewB8ST1A15/I3MNSdICXtJyvq2NqLbA4AkjxboFWOMyjmjbnlM8ISQDDPG2B5703cZ4MjPXgsdpM662+6DbVQ/GsfKCrVJ8JSPU7kNhC+p8vf6O2XOxRYykOlfXAAUdETK22Oe0goJ7KO3S38nW7kNq6zoMlN0NITuU5gbiCcOyHSO0BCbTc5umGdM+9alty/Q3HmRBnawIWCLt8p8w2YJkz4UDUBBPbk74+kRSfGUGyOhvghEonkBSLAZ7FJ5gY+vhsbF4gtyCOTLYM6bSCb8P6/HEsA34WYClosbyv5u2DJ6EXDphz53keOK8B3hsgZNOpPI1KEAipFjUFeiIHIJgmMdsLYOxzAoplkfIZLYb4wkUyzB4MjPXfiyjz4Q9VSa467p/pOu6t3Rd96td132g67r/HPk9JAVfHjRDJ4IpvWHT7Fo6gadF7f7e57pDO10mi21v91dElHTCtl17fWo6htZzp4Msl9/12I1EOmGnSHDpRHp9qoiTKgp4cL1odwE9WojXpy5/p/ncMS/BZNnGgzdwqhNk5XUQbKfBtG3TVOYrRonb8JAU/FmtI6bsD4IRCJ4MiSYOxhOAEdoLTxZbcfEklU546cv0IAuSvszYXQenMukEhFMYnowr8KTbGE/OBJ7MYwN0vsvtcsvvNvswqtKTDBvt+gFcktZ3S5UMBE8QnGIwLd3Qxj61mtbuUrGMw+Avts5cJJkwD3tmdncFnmA45eNJ/lzPv8jc3w5Y92m7gS3b7SwifyyE8J6u6/4eEXl313V/O4Twq9YvQSm+JAB15QWpE2AoeTctMP2MpTfujNU2KpkFsovcWjoxpB+Zw4jHZ9/0nZwBR5TeguSxPJEBgNJgI37YQ0snPIYZvoEtTKeu0f7CYwuXjQN4KO0mY6V854LIQmJJN+hUe+BSsyJgOvDyN7GT39G59O4hktRheHgyMnhSPNewzYAdrCnc+VKsMcUeZ31qPHl1QPq7hj3CggJU6sHgSd93chL7O4vPRs6cxD4zm74cT+xvLV2fni9g8QSRDJQsNxCsAu9B34bnvgfSD8zY42RJbvoexNXpJyLbGhVOIVUnGDyB/P24rCOfAZ1+MlKsm5O/PmfGlujvvJapcpI+njDSiQV72n3Q7d5McAjh0yGE91z+/6+JyAdF5B/yfg8pU5ROBJpCQG5BKqUT7T7MpxmBdOva61PdsWW7SCwo6IEFFKUTtHYXSElG5gZKg4WcAQhOaj/T45rzoW09hwFKHGZm1bddpAhYH/pEigBJJ8DUbM7GGLYD/h7GEKtO4KwxVEni8p8QiQNTbUFjBKpvRbEHwZMs1UnhCSOdwMfmvQeNJ+bYhtwW39j7eJKuOdS2v8ghXG19ij1ekAZiD4Mn5xV4gmR1JlzF8ERXnTDfQ1DYY+lFSTxBfcbkt0CsTL61ydbor8IpCHsAPFkv7UTPRIi7PotYZqv6w8TYNMuNEoXw2EA8SdummuCu6x6JyO8VkXe6f7gj0pcMJR9TCEDKY2LdMJo9TjCaFu2cPjDpkaIEE5BuiJotL70nsmwysNThNDbPuZQOw+5zWoTeG1+qR/NSfKdeIMnAoJyL9/2g0omlv0AAqgJmL8WXOhekv9B7CMrJMmMD1icjhzid/BSfvlXNS+OKYCeIixTfRnhCYU8SgHrr8z54gqQvETxJD7LAqU4AK+9zfaqIH8igeEJJsXbEEz4AxaRYNzCejFmw6uFJKp1w/QDByqcbe6S/MQhG8ISSYp38FHy+jraTYq3BkxOAJ8z6TDP2Lp4MOZ6gN5KiUiz0Zsu0bRYEd133d4vIj4rIfxFC+Grlv39H13UvdV33kgiYvmRo9hTYQfq+Z2n23kvxSdZfC6vnDxJIN2SH6NCxAemRlJ2DK0l0eIovpiYQ2z577jYOI6bMkPTlfDIZYEKiw4DeQ4ino5f/bfcBTPGF5XtwbUcijTvi6ct53kBmTAQtFj/9ZK4NRdYngyelzKJtuzgB4sTzCikWJAsh8YSRbaF4Eg+yMCfVEfZ8vRTL/iY4KVaPVZLYEU9OFJ7gUqyewBNGinUDSrFYPEnfr20reSYMWHO3jBSrw/395lKsnfBE98Ecm8Jg7/sVISveIH4gidOQClpp2yQI7rruVqYA+K+EEP56zSaE8P0hhNeHEF4/d5ZImbkpBCUZgCh5KH2pizu3bbN0g3NCkUkh6LQL6ujh1Gznjy27PhVN8fVgakuzj87cZdIJZ3y5g7Nsl3nz+kCNbWQPpWEpvngwBHsPyxxPfWjbLodTBOwvkb7sRLrOLxa/OAwkxbc4ly1T8CmziqYvd0vxAeuTSV+meMKODQpWgf5m16d6fSDmTWQF9qR4ghw0gzb2HJ6guMrgCSvFOjF4QjDtsBRr7q9g/e076YD3OxER6NgYf6++S4Td7TaWFxB4MqzAkx7o71o8QSveQNiTSbGeshyim1bjXxSRD4YQ/jT8h1c5Fx8oGV0eQrPnrJT3QU4/49Wl0O0tTLBKOHoqfQnUVo6PiWNL+1W3VxozQgbgAWWct/h3zOd24MnvMeRjAxgLTmvMp/g8kIopsPi/m/0NuHNZdHlAOjDkYzO/4YutCF53l03x+eszB2D0JDWMJz2++Y1jQ/CE1dq56UuFJ968xeduiSe6VBwuSbOlWCEECUFt+jzsAaVYqdZYBMu+9CCe0NVbQOaa0TszeMKUSEulWBQZshX2EGPLcQrHE0+mqKUT0IaWwh5EiiVJfzE8uQHwZFR4QhERAE4hVyzrQ3RPWw7xL4nIHxKRb++67lcu//dver/EpDppyYD7MeQODqLke4G1MYgcQu8iIUffEWPr8fRl1GxZziU9pIMcMNAOA3Eu6InnFNixMmKIHg0vFl+UNAICfOTE87JxWH633V/++lTIucT+onMM9jduHEQm5wKV5+m4aguezves8MQaG4MnWYoP7AOHJ5eNg/U9JMw1I8VC8YSRr0U8sb/fhHFz5kJfnzqNwe8vw6wy0glkg1geNNsJTzZan4NiSxHmGr6OviNkFj0oC5n9wNJ/67l9J9AcR+mEiPgbZVWZAc+S2BicSidwf89JsZgzSx6erAlsETzRcRoc0zmxom73LpEWQni7iHTs7/WXG822OqFYCM8phtnvw03f+x8DcUIxnTTvY8gF4tyBHpTBSoHnVJlNfX3qZFt/eHqQBdX5onII7vKJXJdsBwZEim/gdXkIE3Ie8IMhE2O7VGbwAjrUuZyVc9kqgIiHXkR8sI5Sj45I8UHnBjLGYjs8yaUTeIrv5AJ7HFuP65I7n42eNwMknnhjS3HK32TI/FyfcZt+am39qeJ29GHqaNtqjBTrTOEJLp0YSDzJpBNOYMAcNLu9xS4NKW/tbNvSQTuIPeyh3HyOrT6M87g29fdq3SN4slz9jT3Xj2VyPEE2yhFP7ox77tM1hwa2CGmRxWngJiMy4t75prRd7ca4WAMUoeTnAsjw7gnbucx6F5SNcVOd00/khKJO8SEsN5OanXeR8Gbg8rca9pqVSv/Nei6q880PuzVNCybYCwzSgyE+YwFKJwKny4OlE4FLX7JMO+JctI7Qk/T0sHMJszNG1meaktw6xTenLwk8gQNQlAkBgtU1UixE6pGWnmTxBGduyPQlYnvZGIm0n63nWKSNJ+NISiciTsFSLJyFpXS+HSbb0ljpzTOqYV6j3YWwJ+AMsz7QyOCJvT4Ft82eC0oGgM0kFcvshCc5ruJ4AscyDK4S2IPgiW5XvTbZZVgUU8l8DEjwFxkLKsW30c4lpvg4vQueHoEK7KtNRvr7xXNntiu53rjhMPTuVMR2LjPDAl8owaXgca1dD7MmKNO0jA1kWMCxlQyL3Qc4fRny61PNb3hI2V0/xYcHtoutyyzMAaifvszYXRJPEIxA8ERnoRA8QaQTZ8WIQ2PbCU+QTYbGkxAAKdapd/FEp53TfhW2IfUvtu30N1VZrs3wRGehcDxBWFh0Y38D4onGPw9P0JvzIp5AYwsEVg44nowhzM/012cSMPdglqRHgtX8G4blSkCGbeorhydothyRQ2QxHRjYQucGMiLClo7pdrUguO/jB9m2yRlQdCfAaY1RkToih8idAM5yex+vDq7RgNnT+dbkEK1HZzVAHeeSslKec6keZEEAGHEuBbA3TS/PxU4Qj2EBHRGAuUZZk4AH10yKb3ZwgHPR16d6TEjsKxL8zQEzYJvq8pCNQ9fhOl8KT07A+pzXBpniAxmhrbGnLMEEbDIu7xg+yOJtMhQTLNL+LvObOC//BmGPvY5SlhuVYuUbRG99onhClpO8Mp4sGTYMT6hykmDGqtQPO+8BxJNhDHJz+ci8b3hMnts7KfjsdjkUT5hYpgdimXvgyVa3djI1hXMiAozTTj57rttV5RBMYIueeGacy0yzAzuXHjjxnN2L7fZ3+jk7TmRsQPpSSydE2sCj05eTre0wUvBr7ZLTgyyec7mvdMJ0tMOK65gBZiEeouvAFF+WvgQYUMS5LNKJy99xnouXththtisGoCKYc1kOxvlM5SKd8Ndn6oioFB+45tCN8oInhm3I15x3i9fU322lWIzj1NIJ6D0QmwzkcFMtYG49O2WwPMnAKulE7+Nq/JvwIdchv/jGTcGDeFKWSDP6O5J4AgarC574tgXDDGyUIRJA44mz5noQT85Dmt3yD7mmtuZc6Itv9ohlNsQT5hKiQjrh3A479RfHyvhdPhNyCOx09PQTSvFpJgRkLJD0yPJcTPcT02B4CoFLNyD6OSTFp/uQ/r5uy3vw76LPa4A66ct0FwmCNXyzUVBaWMRhAMzCXAMUZVhOsT3qwQAAIABJREFU21fUmIvQI/0NeQ1QJMW3vAejv0FyOQTg4KItkpoVESgFH3WMiCOKfx/Vo22OJ4qxYHSEW0mx1gSrEU+2knqkLLe35lJc7UA8QTbKemxWH1K2H8GeyIBih1yXOU7/Vr3PguNJxD9UZkbgCV7+bfH18e+0+5v7IhcrwY3yoPHE9QNyea6fgocD20Q60QH9jX3FSy4Sl491wPqMtvPh2aapwhM8lnHxJIllUDxB2GjdrqoJ9nW+iS4F1OUhL+GsnAusSwGdC3KpBfMxZBPs9PecFI12WdgKE9LS+WqWW8SXTvCBuG07X9jRgXKISwCKBHS6qLs3z2iKTwe2UIoPCK4jY4EwIZPWrofGprW79jc8zu/Wcy4pE4KsT4Zhvumx9OVy3euEJ/Dtck5/cyYYL9MGp/igyjQqaIcCUFyKBaUvFZ6EYOh8Z7bLx5MUe07OOkprtaPYg2xoU3kMgj3FJRHeNwxvlAlmdcDxRB/K9fAEZpiDvrXTsB1xRnwk8SQ9lIv0V8TX+WaBuIMncd6Q/o5jkK7DpBPrYpnefQ/UBV0ZnnAbZWhs0RYgIpDslm7XC4IBsC4oedC5wCk+goVFWJNcOgGeeAbq++kSTJZzmQPmFNC8QyRAAKr1lOnvF/1Vt+5Yz9VpZ+u5NeYaC0ARdndNjV5xn6t1eYgcAtX5MinUKOfxbLXDcPvbgc6FCGyzmsIAExLHheBJ2l8OTwAAnhnbpmmRvkQ2yogUiykWX5R0Q1ip3k9f1tZnq8vzewDwJMNgJwCtSbEQPIFlW8BGWadxrefGZ7NaWOxQGlMaTJVydALQtL9empq9DQ9hmJmN8pjgVAcEaUtmCRgbiCd51QmABOjwsYmkGau2rcYT5NrknsQTZqM8KQHa/V1TxQapw6zb1YLgLjoMZ7GJLOkUKFjt/ZdQpDqJnQvS3/ljsGz1Dg7WEdqAxgS2Wnie/i37uV76UubnuiWN1PWpIsDhPDoABW3RgDlMKTNMlxfnePrf5kIOXA1QJsBHtXaxBqgIluLre9y5ZNpdYDOw9AG39dZndHBcKR/HuajvEsoAdT6eaGaVkU54G6hou4fOF5H0UHiiHKf13JoUy8OTPEizbZFzA7l0IhIRHk6BeBJyPEHW59Z4wgTiEU846cTlfzvfJardzRlb/FAusuZS6YS35uI8eMFf9APTcwnpBBGAwtJO4Lnpxh7dKCNnIigZKMEw63aVILiLf7zzSzCJxHQgfkIRcZzRFj2piTiXTDrh7FyWUiHc9alwYNtvezo6K0LvpLZyVir2t26blopD+5sfZGk5w6XqBCQZGC/SCYphnv63Pc8jNLbYZ9YRIZKMRTohrm0uL/BTfGjFhzHolCTmtE7emgs4IxRlIdNzsVu8kP6ODJ5E2xOBU92SAWq1FE9O7rzJ3F80sGU0h32CEQyeNDEivTwA3igLjJVIabD6gWMHpwA8CSHweJJJJ+z1yW6UYYlXT2Blj5EAE1b2l0tyfH+frU9wU434+1XSCWcdTfO22HpSrDzDZo+t6y7SCSDAj8+EL765aPZtFnb6idUfxvFEn3OA4rTZtt1f3a7GBIv42pjyIIv1kSVAib5chIWNzz11gHPJdzmY1g7RNKXaaDxQ9IK/mhNodSPfZOT/Vjw3qQHqOZfaQRaX5UYY8ZAvNqsPIkkAelkRfvmjHnpuWQO0abrcgkQ4os6Zi/jf4h3wyO67z9gNa30uTDCiVc9vjGuaqsDWeb9ZDVDfccZvF0pJzs/Fdb6wZKAjzhj0wLmBBE/8seVXoKOOCHecuBwixRNP4tV3frCqb8WabOt9qEmxWnOnb+1En+uPTSr9teYZywjGfjAbZRRPlhJp0//2sTItJ4nhCSIR3GOjPKQ4Bfj7FCu9jWecMwRP9ignmQegaEk3hGlfhyeIH4BtqxtlLBK+DhMM7nLS61NR/UgECMS5UDeRIOkGtXNBTzMyV63CKb4EgFvAU08HOsF1AsBuOjBJ8bVLD8n83AjArefWpRN2f5mat6hkYBjzGqDe3J2SFJ8nRUDGFp+TV9/wHZEIEthqeUHTNJNOIN9wqvN1HWeKEd68EawJLJ0gnEshnQA29mukWJulOldgz1XxpJYBagagMj/XkxfU8IQ5E9HEnnQuehtPlrFheBKlEz2CJ0HgwHbUeAKsT8g24KyxlmKZ2BPS9en3N5NOOHjSM3jSEXhCSLHykm5t20I6sReebLRRzqUTvt8SAaUTGU7Z6163qzLB3iGSNN3Apviw8jx4ibQecC7UziVjTS5/q+kEpp9IeZ75dDRQ7kbrfqzn6gB/em7VtPh4rT7UGFvPudwAzqW2cWj1N0on4BRfCPMijr/ftB3DfLrfGlt8LjIX8W8yF4FkBzgcpvIEpvgy6QQAaFkA6qw5lIVNHQaCJ6dE6mG/s/Qgi+/ob4j+RjvkPUx99UkA7eBsEmD6iRwiGVI8cYIeBk9GBk+yoD3//bK/aVA5/RuCJ64Uq4In0Ng87FFBgfXcWTqRVXrx1xy6Uc7wxA3o0vfQNJ0PuSIkQIY9yEYZZEtHcn3mONU0zQmDfjvpRCHFAvyAiJ+NG8Mkneg6IJbRAbOpYZb578N40uM3UEI3xiX9RTIfabsSEzz9dHV5I5OajYEXkJoldi6Mzlef1ESlE36KrzbBddu5MkPHySFcna8a22RrB6A3QIpvSEq6eQ6jXnXC7u9NZus4OIDlEUkCUGdssR9Z+tIBiNOJSF92YPpynEowifjOZWJY5GLrpfiW9elLm5ag0ktfpqlO5BakxQk4a27ID7KgmkNf56vTuO3+5qWHQClWj0uxEF1eWgMUlWL1HSEDAALbM4EnDP4tm9/e3SAOK/AECWxrY4N0yQ4JEP/eHucGCpzysKdf5BDIBhGVYp1gf6/xxPiGB1bni21+84AZj2UQPGGkWFnGysGTVGZhb5RzPIHKSULXxud44vkBkVQTbPQ3CZgRn5i2Kx+M2y7dkNYAhW8igXYuaZBmv1jt4OCdFuFcvMCW0u6qsZm2ihFP/023Wg1Qn+URWA6B1MnM2OgI1g57lI3NmDu2Bmj6Hkxm4XKQBUpfjmFmCN10IJHiK25BYhgLb2xzYAukZsH0ZVkD1OkviCfnrL+ecxkTR+SzaCLLmsNvQdpOikWVk6yxsECwirKwCJ4wZwHSmsJ+iTSZn+thD6XzVfOW/lurv0gAWpNOeFUGmI3yqe+kAwJbLZ0wv+EiAMXxxM58qPXpfMPo+hwUnlAl0pzn5hKvdn9zPGGlE87YOtxWBMtYFRt7JLi+4AmaCUM3yqikJ23Xl0M4O5d5gt2di+QlmJydlggp5O5wnS9yQjGvOpH/fss2O/EMADt6KI1K8WXAXjVd3gPhXFJG3NfaietcGOYmdfQea5IGMfPYvAA0YU02S18mwO6mlUbcueQBqA9ofYc7F1jnm/QXSl+CjmhUeGKPTQiHgTM3haNHGJbe31Rr2RaEPQ8ETzzGtrrmADxBN8qnfpk/hI12db4r8CTdOHgSrxRP3KAHDAridwldrKFIAFS762IPFaSp9bkRnvA6XxBPQirbcnwGKcWixoZiT0ikE87YxgRPXD9w+U9x3UMS187Hk4HAE92uejAOOc0NpyYCk5qNQImlR+Iz1+h8PbaA0dr13coyYg6zwKQ6Mw0zkb5EpBNeHxaHAZz8rjBNSEoS3pAAQXvsMyLJiGPpwUUcpRMi2DeMbxAT6YTDVHJaO1klnUDkSosjct6ZwhO3TBHY31Q64WOEUI5TZHECNgmQr08ofQkEtmmqcw88gXS+YRkbiic59tT7kEonGO0uI53ACQ6fWa1JvDz/ks2xGdARZyLmzfrld9HAy5P0BJ2u32Z9pngCbeyJ9clIJ1KsdKvYrJBOcH6AkE44eKIDUFSKxcRerr8n1pxuV2WC3dQssXNJa4D6jjOVTjg7l+w2FPSGJ3/nolMIIn6KL9ZQtGwp50IE7Uy6IdfEOWPLpBOXv+U+V+DULBO0I+nLQS1iyzb2GWVNYg1QZBEzKfi0jBik8wWZEC2dsNZcrAE69ReXTiBBe9oH5PaqaOul+JaDLP7YUqmHK9vqcOfSdZwUK37DnpxHBNt45tKJpV+t/k7P5XS+KJ5A5waG8rkMnnh4TZEADJ4w7wHAk6ykGxDYnpUUy03tJ/4TPsDm+fuBWZ8jvD61FMs7nMcEf3BJtxHPsKXYs6UUaxhDQpwAY0P9QPoNOxsHfR2z+Z0NS+k11N+jmdS0XV0T7KYvwZ3LlMaNz/U+hkU6gV6WQel8OyANljALHvDomn3p7zf7m6T4mA9nkxRfYuuObWblccaWClaJ51I7ztQRtd5D6rwRrd18uxyg8x2JNFjAN5Nleq1pmkknXOcSJNeueWBNrM9c6mHjCcqEpGyM71yW1CyS4kP7m6Vme0I64c1bgicoU9mzkoEt8UQ5zvRvFbYJXqOOE5JircGetXjSLCeZzrE9tkyS5tiGEKYsFMC0i6zHE0SKlZc7tGwXPNl0fRJ4UuCUV04S3CjH0rBTH3xZyGqpB+VfmqZzf6PfwiSjy/y15Y/TT8iHE3ii21WrQyAnFJldGawjDDkzhjkMXOfL7FyY0mCIZiuVDMApvgzYG2OrMcwAE4I6l5Sx4KpONMaW1ACdbVtjY+YtTV86Ot+spJsztmh/AtNgY2BSfKIYC8uWuKhiXKQTnnNJa4Ai0olsbN65gQ5byzkrBWwyOhBPMpwCDumAziWvAcpIJ6Z/2xJPbkjJgF+ZYQWeAGzpflIsKZ6LkABwFgoIbBk8yfTO3hxf/jmXbVVNp/+WBl4AnuA6X1yKNVB4otYnqksm8MTFyoDLIVbHMgD2MFIPZmzp94BkyyE8id/wiTg30PlrTrcryyH8RYGmR7IaoF66YVC7MvDj9ZxLvT4kAH6Ew0ClE1j6cvo5BaAC9RdJ8TE1QKkUX0U6gTiM+T1s4GTvO8etsaU1QEW2T8FTWtiMLXXWJ8ispmPzbx7D05f63MBWqVmq8kW2qbb7q8eGO29GOtHN/9ayFeHxxGNh0xqgc2Dr9YFkVpfgr97f+uG8uu15Ls/oS7GYEky6BKdlOybPRQNbSm4HBBv5+83/rf5slYJHv2Eg+ENT8PfCSsLfcwEoHsv4eIKODWeY15KKnh/QB6+9/sa/731rtVgGO9dj44luV5JDMIEtuHNJaoB66ZFUOuHtXLSOUASbNJgJgZxL5WNwAlAkfZnVAF3BsLiOMwVVxwnQKT63v2UNUJc16fxDJDW9c8vJ1ubYY2PwUltJim9D51JeF9w0LdgCP70mlz54zMLCXHtjY3SEjNRj0BtlbzOw4vpUz7mkNUCp1KyzPmt4AkmxHDwZdsKTWvalGawmmmDPcabSCb+/lZrCDl6nMgvm/ASCJygzdup8vXPaX0/nm0on4u+43/Ae63PM/b29UV6PJ+iZJai/CSPuB/jT/+/7ATKWWYknbiAOji2VTiwEmePvgWpQ6bmBZ0IOEUXB0wS3zfSHg9y2NdlypUKslzWqPogAlDwAwHkKHgzSEPaxwoQ0+1sNQG3bHtmVhfQ9gM6wI4JViIWV4rnteZO5v2iKhnkPcY4t55KmL+PzfaYytW2aKumEk+pMUmYey6M1ZozWzmOP0utTvf5mlS9A6YQ7tpA7DOqaZw9Pss2Abbvm+lSUNcmZ1fvjSfZcFE96f4OogzTTNsEpJhD3sWf6yeBJ9s4cnS+Sxk2ZYE/nS1WdmG1l7kt73qafebWZum3sH/wNk+szxRNUOrElnoxMf8d0fXLa3U1jmZ38QDo2EftbS/s72bafK6JJpHZ/RTAJkm5XPRjn6gjVC3MPvUR9IsRgLVcY2jsiydI5sV+t596oCUYkA4zGDGZ5gNRWmr5Eg8oboCrCoiP0NcE1eUGTCUnfg+Ncag65+R7SVCehy3M1h0kfRGwmZJnjfv6d1hyX0gmfhU2/YVeXxwSrIBMyJv31DpHk0gkgxXcC+xu0NtAeW6p3RhlxF09CUnXCm4sQCuyxvrUCe4xvLbIxq/CkuTYksQXxJNkoe4fdGDzJro0H8ARmYftuDhY3kWIltu4cp7beHI8LnuBz7ONJeoZDhMcTpJxktEVT8AyeQCwsiCfa33vZ5/R6Yys+Y88NpFdNe4eTd/EDIdc7T//WsFWBeBxDqw/xmctz748nuj2AEmnt/55qdxlK3t25pNenOsAzjGMhh2g9OpVOwJIBgAHINWa2bVVrZ4xNBJMMpNIJdGwZG+OU8oGcy5r3ALE8y3tw05fUNc95EGwFU2m5JhH7Gy7ZGOR649S2aZqlzDznch41s9B+8DlhYyCGOakBykg9zLEN+fpE8WSqP+zhCe5cculEuw963kTsby09qe7aKke0xVmAuI6oNdelgW2jv5WyZ1vgalb+ksIeHFddSdpKPEHmeLJl5nj631bQk7Ly8Wdr3mbpRMpqgniyqb8fc3/PZbeMPrB40mN4os8swWNz/cC43g+gYwNimfT9WrYTtseqE+CaA/BEtytXh/C0PGT6Ety5aOnE9LcMW3DnUpdO2Dv1VDKAaLZQPRp0iKR6I0vdlkk3jJnDuPwthwmhpRMAKz/1AZhjJtUZkj7EsTmMOPIN15yLP8eS2Nb7K6K/d3uHrEv5eAxAmgbzdbPE+sxsm6bUobQ01cmOjZNOGP1VGOHqqBWeWN8aKofI07jXwZO6dKK16UsDxfz3Lds10gnqtkqHldoTT1ASIJOQAHMcf6c5x8l7mGx9v5VlSeA156zPe+CJuT5X4olHAug152mjET8gUgbtJlZq7AH9ADu2+LdafShIRSNTo6UT7czv9BPBE92ufjBu0xOK4M5Fa+3i36r3IQ9MRGzwO/X5x2DdgpQyhCLGzUbVtEDDNnUY3iGS2VYAJkTmvs4fuuswCMlAh6f4mBJM6c7QB2v8EAmk803eQ+wLIo+JP5E5np7bnosonchL4zABKAbAE2PbNM0cBiKd6EGwLg6abYQnA4knjByi79Pn2mNLGWYRO6ArHUb7G06/s+m5jbGF9PrU5W+1bKe+LkFSu7/TTwhP0qDSTYsueIKXk8Rr9KZ44kmxsqoTyCYD3tgDkjSFPTSeAITM8lwQ/0gWFiWytsSTcSWeuCSA8vcmVo65rTm2EKB5m/orhB/IY5kQ7PMsGk+asQxJKi7f2fL79f7G73KZP2ujkbaHLYdg0yPgzmW6kQV0Lll5KWfnkpRiQSQD6Y7T6sMa6QSk870gfl6zr/0eRCSr2ccdYKua1lN83i1IABs9a9f63tf5zn3ok0WMsybNsQ25rfUNp2ObnovNsYgNaPHv5bq8eh9ESkDbdM2dMJYnW5+uIxrXjY3AHhZPPOlEtPWdy5h9ZyL2IZJV2APgCao1jt97frPlFnhSk1m0x6ZtETzxnGx+a6dtm2KPL7cr+9scW4InsNxuYzwZlK1V7pBhmKN0AtX5nseQ3X62FZ6cFZ64zCoY2Oa3a/r9ZaQTuM6XwUo8lhlW4omn801tETyJxJSX1dHtunIIb1cW0p2WT8nDO5dQoeSbEyzFBFsMKPox6Hqs1nMjG7NWOkHdyOKlGyDbMmj3UnyQzjdhLNAUX1pepTnHM2OByWNif0VsFjZNdYp4Ot9lbJPtNrq8akoSZEA9sNZrzkuvMSk+VLumARhlYzznQo0tEP0N+XuYfr9lS2CPmrfYr1Z/dcbKlFmo/nqZj5SNofAE+Ia3xBNKOpHiiUecMHhSGxuAJ4h/ic8VsVPwWrbF4glSCzraotIJyN934Pqk8CRnxE2cYvAk5P4ej3s2lGIFLHsowuFJLQuFsLvImivORBh4gkpcdbsuE+zuXHCRuq4xKGKk+EiHEZlab+eSpmb9CZbiwzHTDTEt4AR09cscbFssfbnYokwIneLrwbF1REUNIC2abxywsSEpM0prpxyGxYSUVScARw/0V9cA9S61YFJ8TA3QzGG4zoVI8an1CY+t53S+aHDtrbn8+lQcTxDnguKJlpBMz63bpjVA3bEleDKvuVaAlG7WCTxBGKz5uR6ups9FcRXBk5DaYjgVGS+rD0OCf/EnFdiCm3VL0pOWnow/YenEluuTwpP8UK69ljWeOLFM8h5QPGGlWP7GQZLnOli5Ak/8bDleIm0MBFYmcZq35nS7aok0L7AdR8kG5u1cUt2PiDNp4M4lnWD39p8xP6kZx1C1DTUHV7fNmGu0PiTAwtZqFbvMAgDWKVAiaVyR3GEgJVPQYDVlhJALOzyGOa0BGvvtOU5KawcAWs1hIHrnaNveOEw/8zqZmBNwKyio9Ulp7dyNslyei2jtoq3vMJj+rrmwA3Iu2mFYeMJgD4En6OE8dmwimCY4u7ADJAHYoNIdWyW7xQSrbeZakj5ggTjCVFbxBPADky2AJ8BmcvFFMj+3PW+LzdTv9vsNIUgIsgpP3PWp/L0ZiCt/b2/sMWyPz4VtFQvrZvmS9RmCXY6PimX6HCMsPNFxmvWtMZUkdJxmvYu0XSUI/rYXTtMfN4ICEZG7cZTbU1Jb1PgYzkOQ2xP2ElJ9oudczuMoN6c+s219DHfjONcA9XYud8MyNu9jOA9BbpVzaS3k8zAF1z3Awp4JTfBdtD35dSfvLtTNLeBcos7t9gSUJ7s84+bkO5dY0u3m1LvO5S55DyI2U3k3P9cPbNP3sDzXHlv6DVtznPbXYhZKW2SO/f6KxPWJORe9Pq11n65PX2uXrk8fT25APLlL+us5l/OY21rOJdPwOXhyTvDE2yDeDaPcwtiz4IlHApyHkNWEtZ57HtL+YtiTMrbN9Xl5Qben3sWTuwRPPIec4onb3wRPvI3ybJudMbDHll5dvwmeDDmeWOuzhietz322Pfl4ck58xtQHY2zzHC/r3vp+U1sGT9xzSApP7NvwUjyxg9VpffJ44o5NaYJNrBxr67PdXzyWKc9YWd/aLYwn6TkSAHtOi/8WeeAl0v6Bv/fF6Y87TvZMHCI5ZwGoH/Ro54JMsHt4QjlOz5ZyLonznsbWBhMdtLffQwQ//FAa5FyGMgClnAsQrPpznIwtvl8gEBexd9+zLXDhgXYYFrNwrgTibtAO9JdxLrVA3Np5hyAZqJrORQWgFkDp9WkH4sua84J2vZl0HRywyZieWzoXE3tORLCajM2yXeswPClWjQSw1ly6eZn60LC9zFsHMKvnZC0zeLLgar0PGQmwBk88EgDCygVPkDkWAfFkzPHE+oZreGL5lzg2ESdYVXhiSbHSOYbHBuBJrI6T4ol1YOou3YB7JIDaTLqxTHbBSNM0wxNP6nGng3anv8vYpn/bJpZJCT1/fcJ4ksZ0IJ5Mz7XHptvVq0PgE+wDzw34Emq7kfbOZcSdS3Ki0rO9q+zK2h9D7YR23facLczp3yy2NLLGnfvOFlBFmHYRTOdbY42RYBV2nCdfZqFB1WZhFwZLxP6Ga6xxa2x3ygmYgXjFuXhM+3IDmx+Ip7crNbMehOMMISi2wAYoDcA2E5KvOZzlAS7qAU+fZ2NzvzXCuRB4UmV5mhkrHE/uSDzR76G9lpf+uniSrDmkvyIqYCZYY5cthRjmkgRA8MQlAWp44rClq6rNAHiCbH5LPAFIAICFLcZmZrdwrIz9yANxD3sSXDWrWeTBqhmIKzwx+6DwxMzGjfnYRDA86Rw8yavNABtlFE8GPLBN/UDv4IluVw6CbZ1vXk5j+jeLmdLAbgU95WGPNkCgzmWaNGzncq4E7U1tDGGbfQweszCGyibDBx6Pha2xxltcjRidS+oM3cC2RxjmHFQtZqEMQH2pR/pcT0eYzkdbK4U7lypr7GxeEGaVcZzxn1NQ9cD6hLKwiuXxWOMUT1znko7NsB1GLqtzQp3LUFmfzU0JzvLQeAKObUjwxJVtZXOBkQBprWJ3HfV4sJofdrPXHEIC1AJxBk+a2t0annjYQ+AJskG8UyRAR+CJGawqPLGwR5dpM6UeGisNFnYcp4PBeHYrzdQwG2UCTyASYOmvmS1fiycA4aSDVUvnmzLt5nMrJIApcU3meHpufWy6XZ0J9gTiGlQtPaO2bet8Q0HfN0GK2Y2MOBtdC9oR1tjfwZFjS3bT03PrttPBJslubdpaa+wFqwuoLrU6rbFNtst8eLU6sUCx5jD8QFzEZio1y9N1GHsuMs2dNzYuJemPbVBO1hxbEYj7gS0iTYl9RsYmUjoXj+VJx2Y5F0aClAfX07/Za3l7PKmyPFYfYB1hOTZrfVJYSaRmRTDWOMcTbKOcbuxbY0vxxGXE74EnJrNa4Im1Ph8qnjj+BZKF4H6guiHxSDoGe9L3YAW2Y4k9Vh+0vt/EnjV4AgSr6FmAu0oGyMxqq3NTTJz2oOsEz3/ccy5KTC5iU/K3xM4FpuQrWmNmgttsQaKjcXYu6QS7LCzJ8mitsRmIK0ePHU5BHREuh8g1zJhzOfXtHbU+GGft1MtUnH+IBGFCtNYYOfSSsTyo4zSeq4PVibGtj63QBhqOs2CYDedS0xrbh0iUxMGw1evTSl9mWmNmM+muOYIJSbXGCPbAhMH98IQ5nMJoA02sRAPxMdEa9w5GZIyt2LYJniDzNj3Xl0MweFIeCGPwxGYI49hEQDw5+ThV2/x6JEDOiLdsSzxxx4ZIPSpa49bYtNZ4OsBW769I9PcYCZBuJt2MVc3fA3gCxTJgVieTogJ4soZU3BJPdLt6ECyCAbAv5F7nMHzb2oGTdn9h51JhjbHDKWL3l9mVJY4eGlsPfujZ7S3O2CqH3RDWGNUGZgeh4GDVr7aQ7lCteYv9FXEOpVUdRnuOS9t6f0tNHLYhmfqLOBeAwapsMmDHaQQFUWucbpRN1mTA05f5Ybfp37YI/u7GWrBa74OuUCGCsTyuFIvAk4wEcDae6aEiaGwFc93ob8XRW3jCzJsIJsWqao2BNYcQHJPtCjwx5Urr8cSqTUvhKsPCKjyxSQAcTwqtsRm05wGztVHWuGptMkRKf4+gMx3SAAAgAElEQVRmodyM1bhTLMOQAGNZ6YrCE4BUhM6EgXii29U1wSK2rpPRrOoJZg6nbD3BbrBamWCLWdWCdkxM7gFwpb8Aa+w7l4o+e2PWuPO+ncpBC9S5WCBVcy6INjDaWgxWHJuIzSwUFSrYYNWY48KWYHmQOY5jQ6qQeGMrddTeGQPCuVTYjSYTsnYzuQJPzKzOioo3yPrExzZm36QIiCcXL8RUqDCxEsS/lDVG5k0kl2IhB+OmfiDYsxZPsDXXE3iCMMzIAbYanrjZOCRoTw4pTv1tj61WoaJNcCyl+OaxwXOMs8Z9b2uC9WZyDFa2nJFDkOsT3kxyeFIE4uYZq2gr5nPzChXTvz0bcghg56Lr41o1NW/VDsP62HHnkhzgIAJx72Ngg9VbxTRZH7p2LubHC6Yb8hIkTlCQank8JiRhjV3noipUIPqulN1A629CAR104jlneTrCYdjpS8JxapYHYEKgQFw7F4s9LxgsbI7nsaFzbIxNs8aucxnLsj8MniDBn1sXm1mflWAVchjA+qQ2vwSeFFgJ+AGvPNm5Mm9IehiRQ3SdOkRHBKsonlgsbIkn1vrUMigOT9psP48neVbHXst5nXR7bLcnAiuTed4CT1bNMZC5i32mYpkTEcsQeILGMpS0cy1rPMc97blDSQvdHrgcIi9GLYIBMMSEwB/DmIGOiBOIM85FATA0wQTL4+t8y0N0GGuMOM68v8jlAahzQQ5lcMFqLWXm2cYFh7M8lMMw05dlAOpqA1fUFmWdi39AZh2D1f4eLs4QOHioWWNE51uU+9ppM2npJAvsAfBkSylWXicdCWxxPEF1vvkhRTH7UJs3c2zMJgPub77mGDwxWdgCT+yxpbYMnkCXcCAlF8cas9qw1SSARXCswJNc6nF/PClZY5wEsMibuUIF6u8J3Ww1lrGCVSUv3QJPzgyeMFkdAk90exhyCEBjhuh8CwbA2NWnH/r03HofmQB0LQC76dbKBCMsD5K+XGQWl7EBu0jMceLpSzgQT1jjaN9O8THORTsMiyEsnYt36CUPxG0Hl7E8oMPAnEuX2G7gOGvpVs+5MAwW4lyK/lpMXmkrUn8XIYRq+UCLbefWnArogCwUE4hjG+V98ORW4QnCSrl4UmGNrY1ygSeWH2BIAJ2aNdZyZI3j+NCMFaJZhfCk0BrjeAJd6gPoW6vBqseeQ9hTBqDeYbeMBHBkIWvxZBPWWG8cnNgg3UxCscwOeHKu4QkRpyGs8Ro8seRuabtqEIycstUTjNSdRE4orplgZqcFBeIwAOM7omrQbupzwLFVWGPbcerdXqu/hHNJggIRm4Vl6k7WnItXuB9LX1aqLXgAPLPiJMtjbCQn27S/ztgI55JrjRtjK9KMDMtjaXH5k+qa3ag9e07NKjwx1+cerHG6Pt2sDoE96qS6OTYCT2pjswNbor8FBrf6O0pJLjRss7MWl7EB/sWTYqWssYiXKq/hib0+cxlUY2wjvvllgr+yMgMerCIH+bCNcrlxcDfKyHu4J55451OwzEAZMIvUY5kma2yuTxBPiFhGV76Y+tAYX4InUGCrssQMnliVgtJ21SDY2rnoCYbSl2gFhVRjC30MaxzGdo4zm+DLjNll5bDAdgrE0f6OxSYDeQ+ec0lZKci5nHLnYlcLyVljrjJDY2zFoQx73lJbO31ZBqCow0BOUjOH0pC76MtA3B8bc+AOG1serCIVQPT6rD26dvhnsi2NNWu8Jli1mZBlbCL2IRJufWJSrDuGBCCZVVjnO+B4wmbjCj9gOnoCe6J+T3ydb98tc4ZUW0CkWHfFN9yZ+ncRDk/WbH6h9dnjWIlIsRg8qZ0NYfAEnjfju2xhT63PtXlr2UZ7KpZZ4e/XkIpmLIPKSwk80e1ByCFqwFOkBdyd+ljsnuzbRTDnMozLlYDIzuUEA3DFYTSeO9TGBqUx7I+hOjaAlXJ1P2OZHrHGdps4DC/4u1G2LbYgHZuId1GFDv6A9CVRbQFJX6Y35y1js21vAMcZgT39LhlZCMUaO2PDanXijrN8Z9O/W3iCOJeSRWvjSW1s03Prfa6xj9ZNkcXYNlmf5YbWTLeuwJPewRNqo1xjecyxEbYrxhbtLabyJsMej2FOg2ubyRNB5RDlN+zhCXL9eI0EcA+aAdjDkADl5Ub44VkGTzprLirY4xIcgASJwR69cfBIxRCk8PcIa+ziSfW8UHvN3ScLZfmYYmzPuhyilRaofQxFWgBiFlawxs7OpSYmR5wAxISATjZ1GN6HnrHGTrqh9vHa5Zq67LkIyxOf3Sx3M1QcBsgan3prwZessV96bZk7NM1oXz5RsjxeYMuU8lnL8sAOzkjx1eQbbYa5wvJ4qWSAhdWsMeRcADwpnez077U+F6yxKxkosYdxLkiaEXNEmC6vpjW2HCes3U1ZHte2xFVLglRsSNAslMNU5rYEa+xIBlLW2NT5FniC1P4FmNUKnqCHZ02pRy2wdTYDuda4Nbb74QmKq1B/AX9fm7em7VNmjZkr0Jmsjo1TWHDNkIq6PVg5RDHBs8MobVusse1c9KT5E7ypdjeTAYjZh3yCp38znUvxQfoOw3dE+IeeslIIy5Pp50y9qGKNLQCusMbmHIPpS80aI1chL6DqV1tI2QK0pJGtI6w4DCJYdZ0LcOKZqr+pDtzZQcE9HIZh22KNa+MrNJ3Wxn6sB+JbbH7rDqNuW2ONTexR6x5Znz4jtM5xriIBAFz1Sy4SeDLU8MR/D8tzG2NL5m2yBZhVqJb4PnhSIwHgYLX3N8rQBSP3xBN3bAAJoLXG1ndZmzeRBvaoW/YQEgDBk9qtnSKOFItYc/qyDHszmfcXqaD1TMohkAk205dbTLAJwOuDVUZrjJVIWxHYAg4DKUEClylSWsbOAeC1warrMNThFGtsaSBupi8L1nibUj6MxmwJxBcH7jmXrFYxzG7gzgXSxK1yGPa8Tc8FnEsDTyxdHhKstrTG92VuNGuMYY8/NpE6a2yWNKLSl5jj5DbKSbDa27YpCcDgarRHtMaLbdU0u7VTxP+GU9bYw55b1Qdr3jRr7K7PFZtfq781cgrd/NrZLRwr65daOGMDLg2pBeIirY1yHU9qj16FJ0Aso7EHCcTxMm1cLJOW9mz1N9qWJF3DNiMB7P7qduUgeOpt9YR2oWW82Jrpy/wl1Gz1BLspvpqGxdAJFYG4YVuOrWpaZXmakoGxLMFkl1e5vAfPuTBjqzgMK814Kk5SV02zXeRki2kZRbyLKoKctDO05riQb9gMC6Lz1Q6j62y5iQh64rnm4PCg3SoDlY/NPj089SEZm/E96LGJ1OeuFoiL2Bvle+GJEVwjkoHZNskiNPvQYo0RPPGkWASeTGUJ/fcgkrPGCPaUpIWxPgnbssh/fWx3w0hhjw5WkXJN03Mx+UbsAzLHS3/beKJZY7RChbU+S50vhyfeBvwEYE/JGuN44vkBEawOfQ1XRWw8QfTytZrCrefeDRpPpn+3z1j5eFKbY5H6mmuRilYsw+AJGsukJEDnYIRu19UEWzuXsVyYLdvmBDcmTaRWgsSfYCxthzLMqd4vjg1geRzbobJ7Qlge9/aqlaxxfLa1Uy+CVWtsKBOiJQ5OGqxkjS1Hr/V+VdN54xAX5TS2hm1xOtpmeUQ0E+I5rVQTXO9DwW4YuuTlhqclfQlLHIx5ax808x0GgiclW1DaUg6jyfJU8ERrAyFGyMee+VrWgmEubUU4PEmZm47BE086UWWN/fXpnTHIK1TYYxvGkDGrZsaqgifWN1yyxkawmuCJtz5L1rhuOwz52Lz1qVlj/6ryZZ5dZvXkY4/GkylYbdhWglW0v0ggnpeTdMYG4ElNPzzZ1gJbhSfGOqqNrfVczRpbeDJoEmDGiNK2YI29WKZW8QZYR9SNcc9SEGztXFpicrOsSHEoo/ybjHO5V1qAYFa9j6E2wfaNLMphAGwBFLRrdg5wnCL+XfSpw7CcS6mJs9N2ulanvSHRDqNlW2F5NnCcNdbYcvQi+rBbq7+6RBrHGjNSjxbmVGsKE45TpLU+c4dhpfgKx3kNPNEsj4EROhA3x9ZijffCEyOIYDbKxWE3YH160on8sJsnxcI3ymUWCg9W7fVJYiWKJ2OJla31qVljaKOM3BQ55mvOG5tIQgKYBMd6iYM9No1phHyjb6+NFmscKr6rzEIBG/uNYxmGVNRzzLDG7mF8glSsaY1bsYFuD0IOgbA81kto7Uas9CXlXNTOpfbcVlqAm2AfgJEUH177N5TpSyBtB+l8tcMwUnFFYGsEU7cqAEVKxU19xoNVUwtbpBkJ1tgMbCdnmGqN0dPRkHNJHYYrs8CdS8q6WVUDJlt8bND6bDmMaorv6eCJ5VxqdY1bz22ec4DkG23smVnj++CJofPVG2UITxDCAGSNGTxJWWPPVgerJvaMDPYQeDKygbjqrzEXmhFHWePOkGTUawq3500EDWz1po/DEz+wjWz0tHGobpQbeFJ7dIs1tuVVnW/LkACtWMbCEyCWqc2xSB0jykDcwZNMiirN/sY+oxtl3a4rhyBYHuslMLuRppi8+jGUJV5E7FPisB4trVDhfAzpBEMMM+pcEoeBlGvSYG2XE9IMS9W0YI3dwBZN8ek0Ixmsmtc8p8y1wUbXAnG7rBzmDKusscH2i+QMi+tckGBVsxvOXEy2i3RCxHEuQGkc7TBW4ck92Q2NJ5BzOfl4clZBAcIwlyXSKrbFaXlpjk1E4YnxzmKfkTmenltjja316c9x7G+GPQZOaTwx12clALVOteMkgMqEOXjCBLYMnpQZNswPnCyGuVqZoW5brDlD56vXBoU9kBwCxxN9dsHa0CIVqZaNMhKfECRAM5apjQ2PZRg8qWUGREBS0Xhn07NL7HkmguBVLA+xG0GCVchxAjsXPcHWx6An2E3xVRwGAsD+7VWh4uirpgVb4Ol889PRTiDOOBc0xVc4DDxYteUQeR8YlseXeuT9bacvc9bYS7eKaJ0vHqx6gXi65jxniFRvKUDVSgcWDkMutts6DApPLOfSTDPWbMsNiTu2WUdo2Faqb7RsNWuMXYWM4Um6mWRqibtSrAHHnuLsArk+0WDVkyvB1SE0EWHJNyol3Tw8wfqrtcZ2f0+9PhPB4Am4AUcCcYYEIPAE0fkya652e6mIjSerYhkiWN0KT4pA3MCTViBeew8hBApPdHsYcohKb8u0gLVzqQertZ1LyfJM/45N8PTv9d2eLq9iMFhFutV2RHmasc00Tf1gAttUZiHOc4ngjzjxTAWrNdbYYm4Y54JewlFIJ+xrOHVJI1vqkTo472Q9vsnoOn0bVLu/IpjOt8oag2lGO6tTX3OIw+g2xhOECaEcRpGFkstzcTwxsQfYKLc3JG1bBk90AIHgCUMCWHMc+4wGfyWeEOvT+t4ZEoDEk/JgcKO/Q3m5B4onthZW4yrOtHt+QAQruVgLVl1JBlSmrY4nNk4pPDHY0lLaVLFt4InJMCNB+7gCT4BsXLs87f3wpBWnmbd2ggdiddskCO667ge6rvtc13XvZ37PvDlFT7DxMSzXHea2yG4E0eXFfpqH8xrid2SnZe1c4r/FsbmsyVg6FyulnQZHXWezPGWwagB7yhobzELKNE3PJcDaZCrzckLenfHo1c1D5SAfyhpbYF27lpVynM30ZSXdasyFSJ7iszYZIvokdWtsSr5hbPraDsNYc0CqfA2eLIyFNPu7jM3HE2bzq/HElGI15Bu1oF3PsSXFYso1xVs7kTmO40Mv6ikkSC6e5La4BMneyGXr08GTtfWHvbEVgbixPhk80VfMt0uvlXITa5OBYo9mjW2sLPEEPexr63zreFJ7dBn8XfoGsMYMnkAZcChov8QyCJ6syIAXVaYs7EHIECYQn+M/nwypta2Y4DeIyO9nf8lONzRE1FUnQNg20q3WooB2LorlMZ1Ls7yK7zgtnW+RFvB0edXgr2paOAw2+IPTdmSwuhXLU5R0a7LRRLr1nqwxyvKYzoVkeUQw51LW32w7lxaoWs6lvN6zYtsI0rbGEzurE4Pr9XhiO1kt36jZ6jSjNPurmTGLhS02JAAJgIwt2pe37DVsCTxhMkB11rgdTOHYM5brE8QTEysH/GKhGmtsShzQwPYerLEpnSDOe9TwxJdDAHhSYY0n29r33tLsW7Y4niAlXPXmFym5WGiNLVxl8ASQduq6xggZUlbzqfVXvQcHT3TbJAgOIfyciHyJ/T1r59JiN+wbngCH0Tp4QwSrzCUcyARbOxe2BMnUB/9Dn55dYSpBiYMX/OVlf2wmRJ/QtpxLwdwQLA/qMDzHCTPilQN3pnMhWJ7cYeCOHmF5FjbGDsRFapq4en9FKgwA4DDsDWIZiIs8ZTxpnl2o2d4fT6xT4pCTLdKtPtO09RwvdY39OY59Lr7hLTaTY6V6S1Pny2APhyfo+pz0uDieaNa4nbkjg1WFfyhr7EmxGD9QsMagxMEObIOyveAJsPnFNso4nug1V5ViaTyBNr/5e6hjD4EnTYmDFcto2VZlbIzPIEjFWruqJtjeudSDVfNjAA6llRM8/bv5oRPpS8wWP/ndOtVp6WiQD12zxpO9fdCiKCcEBqD2iWcV0HnOhWFWFcNsBcxlqSTMYXiHSHKW27jxRrPGLiOe6/Ks/uqapQzLY+keuy6VCk3/TkkcAIdhbhA1a3wNPGmVNAKcC4MnthSrFaz6DmMrPFmnNcZ0vnoz6TKV6ntnbnazgmt8fXJ4Aq/PImuGl2nz5GB50G5sMrQkg8AT9zA1et5DS0hMv0VslBvBar2eb12Hb5JpAJ6UFSratq1gtV56bYvNr9Ffimn38aRWN7rVhxap2Pp+dHtqQXDXdd/Rdd1LXde99PnPf37648QEm7Zj/SUgE4w4F6xoPuFcGnoibIIt28vYkgCi67zbZlBmgdHC4hdKTMEfpvOl6npWSxq1bGsOo25bphmJsZmMOMsaayfQsiX6q+bNLiuXs1L2mmswAJDDQNhHHyPKy3fathyeKMcJbH4hJqSpiavZNhyGdUgHYtpzPFnjOE2WB8CTqDVGryEuJUi2vEAHdGawugOe8OsTwxNd9rFzJFNavmEHtlh/KT8wqLMhJAkQQrvUYHprp63zXc8aI3hCyTWBA/YaT6CSi0gsQ5wb4PAkPtcPrnUd+s7CvwapCBLBTy8IDiF8fwjh9SGE17/uda8TEW6CGXaDmWCkXBMzwUjViftMMKQjBLSwehHHPtecSwhByhuIbJ1vyVRWTaW4rY0IxPsevw2KAWArfVmWNHLGRuh8qY0D4TjXslKuc1HzJtIOelLWmEtJtm2baUaDsS3XHI4nGLsBrE9i80sFq0hFjeZ7MPqLjK01byYj7uOJnrfYD3vNgeuzWEfbrM+yRi8eiLtZHULni18ARGIlGoiPlYyVmY0D56JS/k2k/V3qsYk4wSqjWUWC1Qo5NdlW+nsvPNkqluEr9DCxDKPz1f21b/j0x1ZrV5VDIKU3TnqCid0IorWzKfl6IG6WTEHSuKMem7RtW6dQq7rHkmFppfg0yxPHZ10eoFNm+CEH22GcdH9bLE9Nj0YE4rZ+WDmXpn6u4jCMtB08tgprjOqdzbEph9GZ0pQyKBBpp8r12ETaacZbxfKIOBUUdLUFY30i2jUGT8rgT5rPbdXzNbGnkGTgwap58htw3k2HYfRB4xSCJ5aectlk5N8lUqFnsq2PjWWNz0OYT8tH2zb2lFkoy7YYG4UnVdMqntiMON5f9LIgfR5hGlurvxVcNTYkBVairLHzXeqMYMtWs8ZYWUIcT04EnlCxDFJykcETQtpUkoqXsRmbXwZPdB+s91DEaU8zCO667odF5BdE5J/suu5TXdf9YeT3LMmABlVER4OxxnHSkPRlfWdYe7c6EEfu8UZukNETjNw2g+zUq6xxX99912xbOt8aa2xrtkg9rj7IYjEhfd7f7eQQWhMMjs1Kt2rW2Euhqv7iMhacNbb1aKWWsWXbYo1b32XKGps6X52S3AhPNPu4pAOtgI7AkyItWhmbljiY2KMkJMh7APBEa3chXC00h5WxVbJQrfWp30PsM8oau9iDllyssMYmw0ytTxBPKmuOwxODtAD8QM32ZGTjNGtsY0+looaZjcv7K9L+LquscfXQfCkHE2ldVKHXpzT7MH+XhVSyjSeYvKq15vzA1pSFUJdwEFUyNPasitNq/a3jKiqHuMHM7BZC+A/X/J61axjUwBCWB0kLMC+svM9cjD7oQLxtq+uQMv210g26Bmh8dn0R52OLfTY3GUCKbz7Qw6TtQNuBSPEVabt+ceplnysnqUEAthjxYSwBmEm32jdzgf1lNxlqbCLtb1gzQpNt7bl1hrkV2OaBiTT7ULKPbdv74MnWkgFdCN+6MYnBE8T2PnjCnOaO/TDHpvEEYLBiP5B5E2nLIcbxcmsntT7z77ItxcLx5K4iAzAD8QJ76v1lsOduDPJ3MXhSEBEW9mBjq+FJCNM7jt/o8txGYNvEnpI1bm7sQVvNGptVm1rVFqAs1LaxDIMRkG2zOoTRXwRXCTlEixF/2nWCVzXkNCMmJlcTTLHG079baYGiCD3AGiOnULFyavkExz7X0w01h+GMTQUnZnpEAbCVvixqdVaeW9UaW2xBJaCz0nYagNGbjfz0JcZG19J2bTlEZWwoy2NKJ+qOs6WtqsohGhIk/Z1Ntg3nUrFtSRxqDq71rfXdwhIgkgEGT5DNr2YfvbGJVOQQBGuMpC/Nm/MIh9FynPbJ+nV44kqxNPaYAYSPJ3Wtsbc+QTypBHSoHGLC1appXWtsSTL02HbAE9dWb0ga0oma1likzT7WgtXWmquxxi08qWJPA09QwqDQGq/AE4g1tt7DBniCyUAv/bWwR4/NwEpIikrEabV21SAYOalZpBAaaYz0eRjN7jvDUhNnL0yRMoVgjg1Kt5bsRisNVj3s1rKtaO1aKfgaa9xK8dV0yV5/s9ugzDQYXlC91M85wSp4Olrr/U4Wa6IA2E5fVvqLOiIjfXk3hvn2oam/NluQp2ann621oVO+TVs9NifFV2eN6w5Dp5KtsYnUUpKlbfsmOn8dUZIBBE/ic5GxQSUX8z7YRf4JWwJPqqxxC08qrHErBV/FHoI1bjGVw4U1RvFEs8Y+nqS2VnaLwBO1jjxcReZNpK41hsdmEByatDCxZyhvA23aNljjFqad+vybFAGx0swW1StUIOsIig0gOQQfy5QVtGq2PEYgMlDqNtDKDYIt21q7ahCM0OwIW8qk+ErW2AhWG2kBs+QYkJplKlS0mBDbcfogVU8zepcHdJktkvqJfbBT1ClrXB9bu0JFaRvHh4xtsU2dQBusddrOT1/6Y5tt4RJMpHxDzZuIIXEgtLuMHEKz3CJt51KzrabrKxISq78pa2yxEG3pRH1sIthNTC2WZzM8AQ7etCQOCJ5gJ78BPKlsflvfcLvijT9vi22lv83zE/cbm0iFNd4IT/T69A8nK+xpHWBjsLKCJ4wcDCU47MpRJa5OtuVza4f+RNrVFm5BPCnH1rZtB+KVPhCSgRJPgFhGXaxhXh+9MZ6cFaYhcRpWoSKP02KfW9+wbg9DDlGjzleUSCu0gVBaYPp3M7WvJhgqhG9JPRoTbJ1CRYIevdOKtkh6JPbZTl/6UoQaa9xKX+oDgvPYjP4WWmMwFeen7VR/m2xMJbBtpvhwh1GWCHIK4euxWc4FTAdqlsfSrrUkDghrbKcv686lmZKssMat77I2NqzSwWVslsRB6XyZLBQiGYDwBKioQZVTa+AJgquxz/fFk7rW2METXe7Q9C9+sNpijWv9jayx3tDa69PHyjg+9GBwqTW2WFi86k4NT+wLgEoSoKXrrMohqpnfcmyT7QZ4AsohyrKa9prT32SzD4XW+DI2CE+s5+J40r5YCMcT6zbQoowsIXEwsQf097o9YDmEmuDZuRi2ECXfqgHqT7B9QrH+MVhjS4vxe6xJkdoiHAauNbblEPmBMO+O8qS/jfQlk5KsOc5WOrCuNWYchsfC5mODT10TrLF7w5NyLqHlXCpaY5G2TAdljVsnqRHW2KxIMJbl35q2OhB3ZAC1sbW+4ZQ1ZiQDjNbYPHXdJAHq/Z1sc+diMUJFJYkd8KR1iYuWjolY2a3K5tfDE0AyoE+fW2Ora42d9wAeYNOssVVtYcqorAtsPSlW8R4aHdabSVsWMhZSNxHjQCyR1UHxpFZRqGVbsMYmntQD8Rae1KRjLX+Py8xaEgdr0wdkrIr4xBhbA0/s9QkQm/omOoI1js/+FpBD5BNsXpt3jwnmTl9O/44EdJBzAQCYmeC6w7DTgZoJscfmB2lMmbZqhYqWc6kG4vZFIDroQYvF2zrfisMwZBbFe2g5F+UwmAtG7OuCy4s1RAznAgJwq/5mMyUJpi91StLbKNdYnvblHqV+uBmIE4d0RDA5hK4OgbCwmuUxb7aEyp61SIDa2CqbVAJPusY60qnZqc+Y44x9Nh0nE7QD0okqa9xhcyzS1vm2WGN7U603GW08KeQQW5AAlc0kc2GRSNvf1/T9TeyB5RAquN4KT5hglcST+k2cFdvLxqGsUFEfm8j2eNIkFQ3WGNH5MjflMrFMrV05CJ46XU9f5hMMlSnq1QsD2A3PcU7P5dMCTCAe7a0Tz5BzqToM7EOf+0A5DDxYrZ14bqZbgTlebO/nOEMIF10e5oi0w7DTl9phkDdSteQbRX+nn4jD8CQDa4NVe80x+rnyVHvLVrPGCJ4s/XXG1pdja6UZU9Z4DZ5gJ6kt7Mk3fQxrbEuxou1KPCHYUn+jrLASJAHcjbL6LlESoLWh1XNsjq3xHswKFXpsLZ1vRd9KXQBkyLbgSzj0WrakWAWe2JtJmDUm8KTFGrd8Yk1r3AzECTypYmVTOpG+3+mnhT2aNTalnQCetEjFqr8fczwxA1uFJ13XGZtqfM3V2oMIglvphqqjN4BnZo3NXWR9gk3nUsgsKm6xEMQAACAASURBVP1VrDGijUHqTtYm2CsWj4BqzWG00pc1h+GWKQJOPK9yLgATUtf7Oe9BM8zNQyR4sfjSYVg635KpNFkeUOdbOAxHMgCzxo3KDAhrbGZ1KlpukbbD0BvJ9tg4PKmxxs0KFegmYwWe6CtGW2MTAQ+RVJyLH9jieMJUZqBIAKRGeVUy5Wi5gZvSasFqE4MbeFIdWy0Q7+sb5Zk1Rg/EsniiZACWzlf3t52xKkkAkXadaWp97oAnBWs8b1LrY8slL9J8boEnlmSgMm/m2Goa5ipO5aQiUkGG0fnOm3UgEC9v2bsfnjCkYq1dNwg2XpieYDt9yacFGJ0vc4d2ejil5VyqaUZygk3nAuh8m/V8gbGJGGWK7snytAN8PFhtaY1b4Dv1QTnOLVhjQpdXsgWec8F1vjXnghxOcZ0LHIA2WJ7q3BE63wbL06yBTOLJ8lxnbFV9Yr2/pz7NbkmzDyVrbIytocuznEt5mY1l6+t8a6xxm4WtBKBNOUQdT8wSaQj2VFOoTilHSIpVxxMkMzD119OT+3gSQqhmoUw8AWQhsc8ontRIAJEtpFjc5ve+eMKQAPXvsn44GWGNbXkVXklHz5u3Ue66UoqKxDK25jrHE7usXIknzViGuPir1h4uE/yUJtgOCuoTbNlSwerKCW4CcM1htILVhsMw3wMytmqa0Q5WIcdJOIwaa9x2LltsSMr+xn5ofZfpXNCArlFt4d7BKhP8FdKJdh+aLA+gtfPWp9artvo7Bbbr8MTVMqLvocFKIXjCOBdvbCLYGYManrgpSUBewOBJbfPr4gmw5uopVOedKdv7HvZl8KSmo26NrV56EmeNOZ2vt+ZQW0KKVRyenX4yUiwITwxygQ7EnwqeyKW/uB9o2ValHo1snAh4gFdhBJax8rGndXbhGdEETz+bt7dUdDQtdgOtb9qaYPsmEq3LK8fClPJpTTCaZmzpu1oOw9T7AenAWp3Mts63dBhd55V2UmPbyXGiJeja6cvahqQ+F+MYZAxlUNA+dc2V56kFdK25Y25Xgp1Lw2Hcf33WtXbt26AqY2s5l5W6PO82qHoK9f7zlrLGJvYMdeeC38Bm4wly+U6NNW7iSYMEuC+e1FljEk9AyZR3fgK52bKFJ+ZtgwCetMrVtW7trLGP+M2W008GT5prDpVikf4e1fmWrLG0bYuSi87YKnjSLlO5D57UbQtTad/aWbFVpKL1Hsqbcts63xaeIIF4tH0mbozzdiNMGZT0Bdi3rIyN22bK/rVYY3w3gsshTo2dS22C25UZojYaSV/WWGM71Zm9N4LlaY6tAtZNHWFTG22MrVhAFduxMjZm3pqBeBng22WK8uDP1mzl37Cr862ejvaDVf+ENr6O9Pdr9VffzNV+LucMa+u+lb6s4kkzuAbHNirscdKBGkuaYxvz7xKRYulvDZZBNbNbrXR9ZWzqhicRP1jVc9eaNxFdmYEYW1MOcT88ael8a6zxycvGAXhSv2UPZ409nS98+2MDTyDsMTeeDJ6Mjc16xZbEEz1vzbGNuC3lBzSeeH4AxJPzqOdYmv3VpKJZ/q16XsiJZQg8QSq91NqDCILvW1bkPo7TouT1hx53LveveUukJKsOw9H5KsYLcZzTc22db6k1JhwGzPI4Ol8mPQKlZmvljzzHiW8cEBlLZI1PPfhdUim+hhNofGu4LV6hQq/PvcfWkpAwcogqnjS+S3hsWhttBbaEdCL2NzJM0d7eKBN4Amhha3jCsjzW4TxIOlYhAbxglalVfNIsLIwnuM6X0z3ipEVrLqpBe2PNxfrr6GG3OwpP8JKLzJpjKtOwaw7V+dYqaohgeMIw4kwsYxOQLaxsY09pWxmbIhWjvSX/YfAEiWVq7UEEwa2Ts9XTl40PPTtUZO5yGhNcmYlBLcxoX+vD0AhWrVPBetLsMkXqYzDSYIXDaIxNpCbfqNnWgspWiq8erOK31tlgXWoDjf4CtzY1bc33AKRmG3MsUs5da2wi9XcxjLikZ7reE5MMaNtVKb7GPKOSgUGvz0uHm/2tvofCtHnNaWvuqtKJFvbA84YX7h+aVScaY0v6G+3RigTe+iwqM9TmrbWxN7HHx5M69jh4oubOWp9IsDpU30N9k3Fv7Omx20vj2Gw/AGyKDOzR77jKGhN4Ykkn9BXoc0B3Tzxpb37x9dlec6AU6x54Yl8f3SjT1oplQOlE7Srv6d8L0+Ymo+kHVDzV/IZb56buGcvU2nWD4BisVl/CWJxKtmxrp9oR7dFsC6Roon3tY9AVKkSMgI6Y4Ppp44a+tVFtAdYa9436mzWg7Ns7WRE03Vq+h1Z/W+lLuK5x37pqtR7gW2xXkW41+ltLq+s+V+e48Q3PFSoqLMQmGrNqes0H4DWSAUwb2LYttMZRw1e1xR2G1gbO76GxPinsqaR8LTxZ+nsZW5NhVpv1vj1vmjV25RAAnlSlTS08qa05Z33qm7wYPEFLpJ1aG3viPbS1xsbYgI19jeA4NYLrFp4wuCpSw6n62ETqOFVojQ08aUkcEK1xq7+TbV1WCdXoNfGECMSfFp4QfmDxRYXp/8/dG+vasixbQlHz7D58wbUAAwOn7SckfAywWiAhwQ+0xQfwIzhtYOO1hERLLWHh8sxuIaQWDo31/uCctWZhVOWszMgxIkZU1dxzn1fS0zprvdh5IysrR0RGjIicucaFoGLYz9dFz5vOjMPso8bc3s++zG8ET9DzUSe4AfFq5CP7MZ+IKC8FnCLROeCPb1zVDtM530/73RkXW4i+X8/JEC0kxffn99MeboE3mgXSAURuiL5/fM2Olxl+D81R/P1H9y6MvF8w7mILWbdd9keuLyoiWRa+brMO8bi/T+vM9fWy8nsg+v4JDDL71v78CmTduOw9QGGbv+FjH2FZv8Zc1u9Pi2WBvnR//sjfQ9P3d6AvXmeCJ0xWxZOvVcaTP6a1aOPmeLIEA/sLXMz2/Slg5SYb76MhimXx/vx92p/injODI5/DE4erQF+KPWTdvKwl40p4UsC/ir4MT0Jc/TG7An5suMZkcyCnPcUTcc9RPGGY9mNcNzbutD8twgi8P6/iyZ9fRJZ8l/J7+HK+zGvcHE+OdUM4VcGT+bAe4QmUFf0IM7wW6PkwHWL7qRjkR7gpcMoDjfv1vY6O3+vjxbJThIWs2pbGmGWhvs95gR9L4lR6/hzSdwee3927YO/BbL4NCj2Ql/fQP8h0bi79E3Guf//hZZG+eG6V94DfL5mbyA1kQNmK6H5Hst64fOM13sYdn9ZgH+8j/I57gxHJ0j03Se7OKjzQzrJf3yucG9xzJGKBxyV4ImFPoO/ziddtFp30jQxcBU98NOYlK8xtkyX787mtRR81pnuOHPrYe/CyDE9QRiXHE2V/EjwJ9J2+y+g9/Hg/nvB1Y7jK9f0dRDWZrIIn7D0g2edzy27hPUewR8STPwmesHcB7aGwP+/Ck7n7RownMMCBZIm+6JkpJCbr23RWbMZLVrADZvH+/O2xzMV8mg/8aSd4UxqmnslJi8n+DqJHtAWTO7lERVP9Zms6o3HRyYXJ/vk1LzBNwe/FPw8XNcbjAqB8XC8I+4PRNyLj4gvCgnSg4rRjA5dFbJW5zZEQKgsjLHzdzMZIOwM/NrdNdiWyyyTrdWZOwSY76rCuK8iS7LJw7XBUk++5fG6HbD63lyx4v2g9/iDthO7Bk8LcfozfJJP9A+IU/y4x9kyiMLtFv+EvoEOAJz67xRw6FFktY0+EJz/0/SnhCYhG54Vx5/CEr9vsVKbYU8KTWfYKnrA1RrJ/gsNAau8FfZsswhNpfwbFbn98YWeV+jLgMMD0LeHqj8LcxNoFjyfx3Gq+zO8+ahzso5KfJmIlej7qBDe1mTMFU4cCJy4M36Mwe8GxXYx8DF9sgYGsT9HsD68oByciMjfPo1kscf7cO4bG5WsG1U1fIMvGVdOBVpAl7xc5tnTdgFNpwbqZuejR/nM2LjgyZgaMC3KurcmOOsC5LYmsUEF8ZBFyWTOw51K6km7g0F5m6+xpQlxfQG2isgU8megQgXEh6UvugPp9rzntbXB2AEfjcqfA418BKxmeoO/Skj3nUrkVPJGpCBWsJPqyPafiiVk8N422hfCEOKAEV5HsHyC4QDHtpe+Iq2YzFxYGTvaffn7fz62TDsYem546nqD9SfDErRuX9Y4ixwiGJ4ovcwQtkGPLLjeaRKd9H9oBgFN8f64zngS+jIonFT8NPZ91gtMFRlGTeRxvDB/BAvuIUJNnGwifckSDEUQ1cYQF6IuiMUTfNjdfnIe+BcwbS/pOuigWHJdEKkOunZA6vCMarfITWaqzEgmJo7t+buA9kCIS7FzjffQ6vCD6TyHK459vmL60Xd9Z3oNUFAlhYM3WDqUDpYhQwK/i0ehZ1nOYz6RFuZG9gCdk7XB2ixmXAsWLZrf4Wkw0CziujicUe8C4EE8IBrOMle6sVrJbRBbUI1Rx1Wz+1lg02oxjBMKTStSYzw3Yey9biFy/ivMKmZoanuRZvkMWRWyJrIgnc3Zrl51FJzxJsUekeDE84X6ahic8u6UFOJh/gp6POsHRos3phu3n5Q/SE8QtSiuxqIkmy8L3jDpBN+aP8x9DlDKbeDTMwBVSh69ogdtwKieYU0iIcZH1rdEs1IgQA1UUEWLAg6ImLLqB3gOnWSADZ1gWGkML9cWp/XHczRBVQHUlYI1lVZ6bj1iEjjjFk9xgVFKHC1mLJqviCebaaXNrOrP9WUl1wiDALFqem89uMX0rNAuGJ3oW6gbaVgVXK1iJZB8MI0B2ix7sOUb45TiHJ4LTHuDq7DDvhxfotNv0UId5Fp1l9/+s9N1l37B81TR12nN9Y+xhNQYXfRkQNQ59GeD3sAM4zpppbvCHnWAevq/w/a7waLaxC1yTB+e56Qtc49Fg+gaTvTA3yuHb/qZcBMKjJkBfZoiiFKrjQOl8Z85/2mT1CPMIfsRgkLlB2YJz/XYOn7DnWGoW6RAV52kR2+2nAqohz20q+tPxpFa7YFQHP7fo8p0SJxg6lbWoiYonEbVJxR4f4Ij0xdkthifz/qzhSebYCtjTdFBqDAiehJzgyWnn+ir78zr2XMcTTM1rvoGbG8xuZXNDUdgZpyrFeeygXOIP31Jrkc8Ny0Zzq+FJrR7B48lN2ANqt/4Sl2XEvJTZUdxkMfCc5dGYBVwwxMuj+oIFZrJ0XOx4Idm38J2X2CkY05cZ368bm368CNgLHD6iL2oVF83NbOb5qk57eyhtwfGSzTTjwrhrMc9XkKX6Bhw+hZJBeG6soMdsfg/P5zpVMaccPtCmTTIu7X9TwBP2HrZxdf5wFU9q9QjqXp7xxEzLsG3j6kGAaM9V+MN4blhfn92KZM20egSU3aLYQ/acHAQgOkAqwv6zgid+6Kjl4t14wp3VOXCSyUp0sMi5ZoEIAU9gdsuwvk1nvdC2Uo/Amgfk+5OtMRq36az6aSVfJgzSIdlZh0o9Ano+7ATvCwz+f+zkgh6Uiou4YCVOMAzJVwwG03c+5WB9K/zh63xnvtnmExxbN1QljoQZvYCt2yybtT9ysmJbpRRUAQ1AGZdygoPU4dRODbYeivVV+gRHUR5N1prC49wK7wFViWdt2pRWcU0Wt6sjsqDqGj2MtsX3vY4neH/m+prV6xHg/izhCc5uKRSSl74UVy/Mjawdzm7x1LcZ6GIj9x1P2p4Jbdoq+/MUnoDsFq0xEPZcjKv63PxTwtVIdnoP+txQdqviy7yoCEiW4QmQnbNbu6xg7zMOsy/6q+y5irOa1TeNshGeaLiKno86wXn4HqRQUeVjIXVYSwfizgwsFTct2uPzPBrKc4M8Gp3vV+MIZdGY0alUC06itMs2rp46lIxLgYoAuWu02G2ORteoCET2DC9PSIuiKnFKCwERIT43FBHCsrhKHM+t6aHMzSxKdbI9l8+tzU/GngLPrcThK+IJctrVKvGw1gLgiRo1rvITIzsw0yz0g3IFT2KahQsCRNHoQmtECU9KtK35AH5ES2/Gkwqu3oAnpW4+UQ9kIbuV0izQuhHKqEzbIpf6vAVPCGW0iifv8NPQ82EnOAjf01D/PM5VnlvUckfmuYEFZjQLyqNh6cBp3MhgLLqsyI1GpzI6t2IP5LlKPE4dzq2HNOeapV1QhLmStis5q2ahLNTBGxd4e9/20OI8oVcx7IGctFX6XShkCedGIk34xiTFyGLjgqrEo3ZCP4sT3ORr3WYu7k+S3VIpXmY1PNFbT5K5Xe6BHKV8gR0gGDxnt1jwBuOJzAkODL0ZowzM+iIdNlmyj6S2j1ej0TGeKG0fS3znLzC3UhAA40nIYfbjkgtR0NyaHsoaN9npGwY6vGRdxoFTEWp4gh1brK9MGSXZchlXDc8NPR91guMF9ndzN1lt0XifzPFu7m3sIs+NcteQEUCy4KpBusDslIM/hv5O9U2Hwtws+CBdXvHxiD5eNC6em9c3Sx36Hsgs7WKGOj4AfcMoBNahYlx+AKCscNdYNPqHFAnZx3UcyUjf3wENgB0GxrUjRiBwrtl7+AENRh4R4oZznWSjtmesklri8AVRnj+/Z+yJU4cqnlRkcY3Bu/AERkC/ngMNwSzBE2g48QG8hJVX7QBaN4InlQK26GCP8KSEPc52VS61eGHPSTw5ggAksvoQ5hYe1sl7eMxzU6LRuSMO8MQX8gHsYe8s6oGsfMOVQj4zbu9r2FPgBH9he69iD8MTHI3G+qLnl4gEc64J2MRgHEwZwMKl3pcFrgmL7rJxIX8YyLIPEj2eI2Rm4fXGpbmVmlx7B584q8UeyHP6MqnQnlKS3Ljgb405q8ss64HyawY/xjHDESEjOswRoYznBiPBTodzHL7ZCMxzAzrs/8kcfHzTldMBVIlXOMwMT1CV+EJ0aDqrePIHSfFd5blRPFGdSqZvEU8w/pG5IW60mDWr1FrweoTrPZDpQeexOJwi7wE6XpUOFdgQ/BEc+u7AE7jnqL5n8SQOAiAqwqV6hGhuAp7Q90CKtPVxDT5xD+RZ/hZfRsaTwO8BeKLvz+t4gp5fJBI8KruuM4/GLKMizOCnNIIOZUupOJ3Dh3l5epVkzKNR3wOJmpAot7opOPld/3hlagptJ4SqxG/gBMMeyLbL4kilcr1nVHCiRaN32SkKoUeuT/VALhXnKZHr3XhL3GgQEUqiUsrcUHo4pllU9xySnUSDDBCQJZGQO+oRKnODNCiIJ8V6BIAneg/kgMtdqCOppHwrc1uWmWZhpqXg34UnNewhOhT0jRxbnjXr3hmtR9gd/JN4wt/vVewh0ejgMMCpefncmrzsy9DuEKp/EmFPwU9DPt1FPEHPZ51gmhZtH68eOsch+fl/86uQ2vp6zs61me7Ysmjp1xOkEGi6gfDcwMfw9Zx12PTF416iZBiW/ULpkWBuaormq0SzwClUM/6taVeBzlGT9q+8zl+hwZj1Naty13R9ceSayaJUnJ8beA9NB8URN6wvemdGZPG4ydyEm66O66PzNUZV4tvYAZ7IqUPWIgjIgoBByAm+gCcxrjqsDJ3VeX9SfuJkB/RoVwlPQpzS7ACjukVc7qEmgvHwQ8drlP0CPNQKnmTXGyt4gmstcHAB4klWj/AT8IRRvPDV9QR7CngS90AeZStrjLJbTRH4DSM8oZkPEvyjlNGrfppu75Esej7qBOfcS38SmDcQ4tFsskE0RryOlHFNKACL1wdiDl+tiwO+bYalEOaHR6OxvojvjMYtRa7JCU4u/ilFozEAt7XwNAsma4bbCV3pjxunDh0Aw+tTZwPdj4uj0U4WRo+2n5wWgqJH+tykaDThWeCoCZlbwOFjNAttbvMam+HvEqUvN9mAZlHAE3l/lq4jZdiD9K21Z6xR0vRotJ5CvY4n3A5UcHWWNcP7aL7h88yBluAJyOogfc1+Fp7ssnfjSYmSYaFsCU9gNDpfN6ovuRjGLKCmCHjCs1vB/pSzubp/UonusgyQ+nzYCc4+yPwlcFm8wLV0fY0LVqEt1HhuKMUHZIs0iys9kOPUoY+EVPjOgXGBhlOLdkXGhTnMSNZXiWcFbBrPDYGfQVncA5nPbR432XPC9alRUZpfjahnqX8ifiItvBHSjHelfPka53uOZbeidkK4y4qGJ2G6Xt2fVdrWxR7IlU46/AA+zw1Fpa7bgRvoa4TiZcYP6/1D92dQ7Dtdb1zZc8EBUcGTfM8J2BP2QMZzGw/Vu6yQ5Tt4vvfiSa12wfZxiYMvtC5FWNn0QDfnoexW6Rtm+7NAs+CO7TU8Qc9HneB0gQXgQQbZDBuXI9WpRhaeQxX+ITvPhXU6wCcX1ieTfAy+kjpwxCGPhgD7VKFNOUI6f/gP8B54AVuNwyfzKb/Wed0C3hiaG5L94xtVlG8/qeP1EIxLyAXz+hYAGFzhmu25H4q+oTGszO2CcdnnhjtJONkTxuWHM8gopc0zVvOei2VHfVt2C3VmoHw/mNrHeCLvzxKeYJy6A08qtRZof6oXdkSHDIQnl7ncAE+i75JFu9B3OWe34r0xXhrCsdIMc3eVzgx0bhBP+Nw2WSEifoIbDfGEULx+VJzVXvaRyQpzA9HoJs+7+eT7M8puedmW3Zr9nsCXEa835vtzEsX2nuAJej7sBLMFnk9lZpjnhgzyJqsZQyaLmlwfstoCLxYB8DyumjpcWCSYyYrFbiGHD/LysMEo8Z1LvDxts8G57Y9iXF5Bk+lbQ+1gOKj+eCxHOt8CTnDQ+7fE4RNANbveGN8ul0c16dwiB9QbF1Qtb/rc6HsotWlj2HMNT2JZssZCPQLLbkXdWy7vOYQn1WIa0WmvZs3eUY/AZVkEa7YDZojaxPEERQnRN2lAZ6avAZ3//J6L83KHrp8fxpM/LuPJiQMtq0cQ2rTFLRcZnsy4quDJ8T0Ic3vpm8s2nXnNSf4NswAkDgLM63bI2vRU6hGuFucxXwY9H3WCzTDXBPFoXrLs5CJwwRCPxgyDKmpyvcnO+h48Gp/qrHGCKXdNPj1VOHw4fYmEy5zgC/qy94Ca5kccPpQeQQ+ugN9+KinJqPUQ5yWzqMkYfUQ6nOG5oVTnnBZF6UsLxz2b4mPthMKCEycbzo3Jnpxb01nFE0Tp4cZl3p+os4iZwXZCPLvFsAd3qKjhCXL+CrUWwT6adWC1FkxfEVcpnjDHVsNVRk0xu4gn8EZS7nhRHZy+bW7jhUXJXgbZIo0OkchCigM7IBbwBDniTjZsZeZlA+xhshj/cjw5QxmdsIcFCqE/xSLMGo+66YxoFqx2i/s9FTwBGaBZFD6/gBMcpQ7zdCBbCBS+pzyahx4Ruo9HA2TlE1GNIK5zDvWTVnluojGsXt1sxtKBWBZyggFPk8oS44J4eTKHj/RAhjpEnDiFXkBpIToVIS5KIxEhqfPFvOfyVmZIX+E9BOvm59bklfdghiMWHE94GlfZczFWzjiFqsSreKJ2salhz3U8wZHrYG6wtygetzQ3glNX8IRxuZEsu9zDDHR8gD2Qt59oz/nsFi/cOsObnR1xhJWz7D63S3gyRzVP1RhM71enup2LRgt4Qg/Vsy9TwZNzflq+P6PaLd5OLffT2POLOMHj31jUBIW4X1GTEkHcgUlIswDGcEq74A9ySzeMslGVOEuvYeoEMy753MxaZCE39Nu4TN9ZtsLhY+nWCkfIjPB8wZWLVFZMM5aMC0o77z8Zh69/ogjA1AOZUjK4w6zw8tqjFKXxG57O8IfBuOD9snEVPOGGk6QOoWOLjQuKKPLs1jU8YdFoQ7LUaGGaBcMT9ZKcO/CkipUybQvNjeIUzsZV9DUTaQv0MFmhbXGsVKLREZ7M0WisL85uYdnS/gx4vlc6SZTqEUJ9R1mc3SJzC3CV+jITBZNzgiVnlWXLo7kJ+5MGDGyeW1S7pWa3GJ6g5+NOMHJsoyisf76YwVgCjpAQOi8ZwydZYJAyq/Jo6KUhs2jQNB+NW+C5XeXlkeuNUU/hSlulw1nVIyyosBLNzWxOV319r7B39TZuri9L27GepWb4W6MpVOrY9vLYCKD+uJUoz2GQR9m4n6UbN4gws31U65cspEUZJxh8lwx7QjwRDEaYZnTj8irxec+hNTZrhmiUpdktgicV3iyL2OrXvb4HTxiuVnqWsuyWGaFMMTxxtgvPjX3DOp4gO8CoCDC7xWoMnnN2i/KdAxrATP+5CU+oQ1eIMINOOgqeLESHF56ggN40buDLCO/BLOEEC1SEqH6CzW3ujlOgegB9nyS79ReLBBvnJwoRixKHrxC+r3D4UJPrpm+lotzry9KXUccHXNV5g2Mr8/Kwk3a1nRDsQxq2E8LGBQHllahJjRNsuw4eeHQOH+MybuNifWEP5GlcYDD2/xnl8gnGc8Pt3/D7RdHorEBGMS4oerTpoUWPms7KzXlNVu94gw7KGE/iaLT7Lh8RzSLHHlYljubGs1u16435ofoK9tR6lqrYE19LzQ7gsyytRwC2S6d4FTjBEZ6AIBL6JtG4fwKHOaJZzD2Qt59XeulGPZAv4QmMGvO5cX0r/omOJ3JhXIQ9FTxBe7nke/lxWXChUrv1F7kxzoy9hD2VIgAabZGGHFtQ1Wl2A4cvTDfgj0Fpf4SKCzZ95xTqi0cD26nZ9PwJopqRccH6AlkYjea8PL/G8dWw87qZ4bUr8dxk41LgBJO5mRHjIqZFI2OIOXxaRPzPb3SFK5+bGWmr5OcGHNBKxPZO43I3nlTqEVDkepPV3kPTgRdV6tgDHVu3bmiNs7khPKEOKGjTxtuT5Vi5jVuoRwBtz6J6hAqelOoRLuBJKDutG9ehwmGu4AmvtbBJFrXvQrJRD2S6j4Q2bVdpW1k9wo/fAFbSwJuCPe/yZU7gCdpzHk++dDx5V60Fez7uBG8h7vFvMddklGVRHjM9agw5fBUdIlliXK5xDnk6u5aSRB/ZJIqjPBZwggvXG7O2P4pxidoJsTZFiAPFnetRlvGdN9kZS+RStwAAIABJREFUVGuOLXaYFf4wj5YGc5u+S3SFK9fXrMqx7cfNjEsny4wL6oH80tfPrY4nyj6K9mcFT+R0IMATGuUx/T1gShqJRpue3UJzo8V5QN9t7FqfYIXT3nRW1q3JyrzZd+EJwD9+vTGK2NbxBKW/1VoLODdrsvPBE9lvJIuyW4ziFeGJkt3ieDLbWvoeUBAgmJuXbf9Acdo3PYq+zBvwJPRlBN+ghJUku8XwBD0fd4LxCQN79xEvBXd88LI6jyauEteiR6id0DG3SvQIn9RHWRblmVNVrAcyTweSW6Zk40Ki0eQKVzOVY7vPx68HiUZv485rRznBkmMbGRc8N//Ecxtlw6b5ExUBV81u4wLDyeYG9J2K816RsVnWjBXnEVnQjH/an2DP8bnV8UTh7Jd4eYWOD1FEaOZpcjyZ1y2KmnjZE/UThUyYkkJt2S0FK7exUXYLKGx8z2Gcuie6i/CEU5vmb1hu+1jAkzCzBPCERq6RI17AE9iu02p2AMnO2S0sW8KTsDjP66A7zNGeq1BG/fuNI8wYT5R6hAhXb/FlSngCsmZik7SPO8GhcRF4qKc4fBdeLjacnHOoRpq2D12fW4VHwwv5wNxsfnA6MOLEgXVj1zGDNTa7xnPDhSEsWsp7CkMAJvrCqAnhxCHg0Q8DoME+mxtpOG5G3pnM4cOdRbZx/Z7bfkfUCbY/Kzc8lTh8V/AEtBPibYqKnGCCEZpxiRzxAlYWeiDfwndGc3NRKZbd2j4lgifgG76FE0xS+8iZkvfnN6612AaeZVU8YZ1/sL4cexCesOxWBU8kfff/mVoPZOy0V27OG3sgcztg5rJbwaHIbI5GL8jeg+xW06PGCcZO+7X9WanHMvNfxH2O7fhEtVt/iRvjzLBxoeFw0P6jwqM5KhTn48ckSyqpYXEebSuCrm7WCe0sGg3TuE9MaDeY8ogiQuPArEqcpSS/qHGZROOWY4LB4MCDbmLanmk9Cmm7CocP0jeiaIzaHSJwbBFFRo5KBRHxq+9h7oGMZVm3BaaDl2XXG38V8ISl9iNO8NymiM9NMy7YGG52U8MTVBBb6YHMO97MeHJqbgIVgVfLz/rSGz4BVm56gOyWcVmV2hThSSVbhGyBjCdBxweFtsVuXozw5FJEHHYqIu8hjEaPsqijBsP2r+91vuHzgWUh9mQUL+EbjtqI1fBklI2yW6hbiJ/bJhv5aTmehDxf6p8gvwfjiYI97Pm4E4wW+EzaDl9zWoiEkGgMAjSaShEoGSx6FOmL+F2VKI9/KI8GbiA97cKvcK3w8vCpPnLSfDshHIXQo8ZHFGKUrfDcqrw81I+VjYtSydvAXt+omNDJwmj0PixxbPG4yGmfD2ZQ9vtpjwUX5/mn0ksXcfi2sXn68gqeRNkifLU6kZ2i0TqehBSHqz2Qx2H53KL3UErjCvoGwQWWhapRm/D+vJ4tKhzAKWUA4Yk37XU8wVSE+ftFsrjrBJYNC5mnDAXu72xWrLUYVcD2xbC+OLuFZc/giZJ1vWPPoSx8DU/IYR0GCiM80XG1RCERn487wZV2GpWXsABQjY2Li5oUeHnxiYg5tsrHyz5I5LTzj7eUbihF2udIwTa33CnY9KjRAFTuWok/HDjMJd6spK8eNWZp0YgTrESNw3ZNlD/sZEsGjt/0559wbk6JKKrJ9ie+pWzWdxu34PyV8CR30ip7LsKTS9zoEzdSKbKVWotj3cAaq84GWOPoClezIg9V4c0+MJ5EUc35W6vQoGoHWi47rx2vtQDjynhSa2nJsmaKY0vnFgZOsB0o0SwKVATp0FfZc5EvI+JJRLO4VLtVDLz5gSt4wp6PO8GxY+smBoxLxKOZPwbuVFbaFLGKyqscvsqHTmkhl/lETl/SA7m0bgB4eA/k7WfFYCipwyxd7+fGZGWeWyCLvktuOJEOhbmVrnAtRFho9EiYGztkwCtc47UYq8Tjb1hrucP2EZ7bNq6OJ9ARfxue6LKXeiCH/GEytxKe6JEmpUd5Fj3qx2Y9kO/CExrVBIVmlb67aqFZiRNcxJNSxJZGz+d9pNIsoloLpaNG7LTrc/PZrSYv+xyoHuFEW9arQYD3+DLVWguig0A3Yc/HneAwWjBx4oqcYG9c2MnFgsKbQuoQUycKESEQ9dtk5xQULxRCm83LsqjJNQ5fVExjTmeezrFJll3hGhXR+XXj7YQKHL5CZJXddOXnxsfd9UVzm1KdXPYKz5elhysHEuQUhI6tyo0GOjR5JLtAQ1TMfNyAJ1eiPNu4qmw1q8P0VfCkUkxzD57UqB6jbMRPNPM4tWOl/F2+B09wup4EAZDD/GD68jaVd+NJVBCrjlvGHrpuTjbIbinUlApWNp1nKsIZey9gD22ndpcvgyLMJsmGeAIORmpwAbWVY8/HneBliYjRIGJhXrYCwAGPhox7mUczjcuNgJpuqFJIZI4QuI40jh6NspTDt//s5xedTs3mqPG6goKpEIBxpNI/oSFysrAHchgJ0VJxG1h7/epzw474DKhY9iIneP95OcIsc/hmfdvYbG5z1BiM2/by4zyexKnOeX7IIG/j4vXoHxoReoB1u6UHcq2Q+RY8EXqLxsEFgqvMkbEZp+h32dmu6IbPbdzxwTd8bj+lto9tf5J0/TBuAU/iq+DP48kS4EkNe96BJ0EnHWFuTWeEJyhosfk9WF+U3ULcaDP8XapUhM2xHWVLeBLWZWh4ElEy5ndciUaDxSDPx53gikP3Ng5fFI2ucA4v8Giw4SQfb5BCvTa32mlP/tABb4wfBlDUOHEKOlneA3n//6OTutymLWinZuNTv96YGbjxwby8XbYSjYEFJ2qE5Vp/Z25cWNSkGmHJ163JojX2VeKvcd2/r0R3WXYLtRMq7bkAT2jUpND28UrG6j488VHNa5zgiOpm5nEqpk5Ah1nAE1ZEHHKCWdtHEESie86PGznXhSgswhM9YlulQd3hXKO5seDCNTzxe77JKo64GacioOzW5fqmEp7gw2SYqblIs9Dn9heKBDPHFvFo8M1GDNB0Dl+liKTmiCOA4jQAvfoc85+gbNQGCvS+vJR2SSkOKMKSpw6jKI85PXgPZJtkmx600wFYuyu82YUAcIXnBlNxjGYRURHQ3EDngm1cIcJC0q1xD+T5PeCoCXb+pnaAxvfn1KHCeCpOpVmgKvGmL7uRqoInMLsl4olZjROs8nxxlIcdUoMag59IITEbv7VoXLNx7BL2BOvmZY8WnFeimkQ2pFnM3/AdPdXhVfCF4ALan1C2gCc4Gh1FxCuOeAVPmGxuB5osm5uPGof2Hl2FrPondnF/kuzWFo3W/DTcECDKbpn0fNwJNtN4P2aMRH2du/aIjMsVAAbGO2ruXImw1Hg0XpZETSz4eAmYSMYFtBOKotFmzLjkTlrkbHhZViX+s3mzYb9kEOVhNAvFYMRGVpwbqubef8JoDAC+TQcnS669Zd87irBgJ41HWJSI0CbLaSGIZvGz8CSO2GpREzY3MxFPaJW47jBX5oZoFlHmzmzUOcJVLxvVT2yyM/ZQPHn2snyNzcY9F93wuckOfyY3fM5za3r8LDxhFK/yDZ8FPOFzc7Io0v4aV8cT1ZfZnD+TZBme4Gg0XmOU3brsywS+1yVf5gSeoGj0XycS/LApR8N4NKz3JeXRkNShdr0xK7RAzio7uUxTCJw0XsV8nRNckHX6RlXiZt6xjd8DSh1OHy8Av5D3Y+PnE62x1zcbt394lXj7/4/yIScYcviw8fbrUea5ie2EQk4wGJdVUpfmBh1b5IDi9LfMCQbGe9ODrBtLX8KI26wv25+4SrzSGhGvmyp7B56UsYfooHD44loLDa9R+jt6D5Psi8ZyL55ELeimcWkP5F1W4ATHdKUKnmDnepbleOIfhFMVTnCcNStgj0rbCvBkvumP+DKg40OU3cJtQJnsrAMNAri/sexW5MtUMKKEPaVai9xPY8/nnWASAfhBU51A9oEXmEVLJx4NOI005w99DKpzHfFo/PyitOiPAo/Gv4uIwzfrwB3xf0I2BaY45NGYP1+bLU/FNYMxv4ddBxBh8bLIGOYRIRTlyefW5P37ja43pnODeyOfm9keWQDcViSLQJW3E1rBvmDvYd6fbG5/kL3MuGBeBzNiXAKDgaJdWAe85/xamOH9+QeRxVSEgMNHD7QC9nyxvVHEHheVquBJhKs8KqVg5b4/Pf6BVoMcTxBOMVzdfg548sXfwzaugj0cKxXZlt1S91yEJ8r+jDs+MH1nPGE4peDJLdjzNeMJu4GyhieRLwP0pVxjTRZFS/+gOvC54daT+kH5Cp6wPQfnVvDT2POLOMHj39gCm2nOxjYu5vChBUbthKL2PPoCc9qCssAvsAZpDM6jmWVpT03EESrMzUwzGDh1iA1G+01zVudTPW8rh4wh3kDh3ARn9blXieuGaP6GqXH5mh3biL7Bxq0ZDCArOu1/kMNAxbgwnhujTMkGw9jcgA4BnqBxEZ74dWv6oqjUbw+AUwhPvgI8AVQaM7DnyNzM5sMvXjfigAZ4gmkhWBY5aWpwoT3IAb0De2DbR6n1WnxYH7CSrDG6eTEKsnjZV3aL4EnpoFxxVoHTM+GJzXPbZAGePLAs2p/R9cZvwxNysFfm1h5YawHwhGV+5bl9saAiXrdlqfVARraWYo90SY6OJ+y5xQleluW/XJbl/16W5d8ty/I/lv6tzS/h66kbjC9w73gb18t+P8kH+cCycIGJvmZagcwXc1YBz62Nq7QT+n5yUPXfwnfTVzCGX1R2B5Nu9FS220TH3Ijzh/QVnEomi1KHx3vIeXl0jQHPLZubX5Cv5xO25NrGHWW/n2sQCc5lmbP6FUSu/fez8ROxoUffJdufcG40EgxkiQOKvmEUNUYpM8S9bONexRNuOFcni/VFkeAQe9y/f32XIPsy6Rs4aTOeEKcS4AnDHpQWZXMzsm5mwZ4DOsxO+/azH5tiz/5Tw54ZT77Z3E7gSa8vkz0cfDC3N+DJN8STfdxxWIInDHv0egS0P+O5XcMT7J/gg7KBdl/IDpgZpIwyPKFYCfGPzA0GAfD+RPqiTNhXQNvyD/NlruIJey47wcuy/GZm/5OZ/Vdm9k/N7L9fluWf6v8eO2m/oejuYz7BfT/XuYuEcVBlH+8Vw8kADW2KJosoGfPcGH0D6Eu5PPx6Y+y0O32Dcc00g4Ed0Da3PBLyFbyHbVwwN0ZFAI64ktrna2xtcpOsMrfnnr6kcwOgqlIRkCx3VtG4TRbtOS0t+vVd3J9i6vALUDLMsPPHDNwdeMJkrxpONjd0cHgsBlq6VfAErBvFKR1P4NyCjhpobmacXjA6lTfgyYs6MTug3h6F2EMzNUCWzu34W4Ynw3v4JrKvWotZB4Y9Cp4wpzLCHuTIoG9yG3d2rrkdAPtTjFyH+9P9jTrMxEnDGLFprMnW8OSqL4PHxUELOjeCPV78Z+IJe+6IBP9nZvbv1nX9f9Z1/cPM/hcz+2fqP2bRDc7Lm40s/Rhc+J451wyA2QKzRcNcY7bAeeow+hiYwUCFN6osAp5obmbEYAigGjntXpY5oFEkWNG39h52w0mqmEcDx3hKYG5r7FwroBpFY7hzjRw6xrXzsjN/jhmXKKqp7rmqcVHmduiQz+0lC/CERU1+5txkrDyBJxVnVUmLVoIAlUPqKTwROPsp9nTCFTzhTjtyVnU84bK7vkI0GuHJ87ldWITsi5dtY+sH5Yg6kTt0FeypOOJNHu0jiCcP5MswOsSMJ5UgANeXyIqU0QgrUYBDxfa2bso198dB7l48Yc8dTvB/aGb/b/f7v9//NjzLsvzzZVn+flmWv/+Hf/iHQwFoXJ54gQ186GvNuMATkdWMi3+3z/2DnLnGaGOyKESwwOAD1qO7ONq1yeYFBjkVoZctAPCKP150vXEajZGAHRkXYgwBf7h9oxXjgr5LKksNslu7FQE7d2xVg/GE4xqUxc71PLemr2xcougufA+acXkG+/4dzuo2rhaNYdkilXNIsXIBa/xcbVnmqDEz9GbYEDGKl1KUexz6cg5fJbr7JHiCnB46t/0nwhMlU1PBk2+GJ4Df2r5npq+CPQhPGAYj3mx2IEHrXHFW+bqNsk+AJxXHNsZK3d5fxRPkgFbxhMkie6/O7ZsEAdj+VJ1rZgfQ3Q+v/Qkc5it4wp6fVhi3ruu/WNf179Z1/bu//e1vr7+XjaH7W8R3QcaFRljAuLWTITFwKs8NcIQimsXMEYpORERW6LubUhF6WXKCMwTACagifRUnLU0dFigZMBIM1m3TARgMgcNH52Y2yR7RGJ3n5mXRGptt0ZgrlAzW+eJd+5MaAbg/saOIUp1VKgJLHfqHZ6Gu44l6cKCyoB4hov9U8ETPmvH6Cf6t5U4aOvymFC8wN60eIcGToX4C4wmuMWCc68ARF/CEvocHkCW4ivBkXdfQsa3gibI/2bjR/izZexCNvkrxquAJMPcJxWuWvepc84w9ADvkywRRY+TLPBZwWAf6RofUnxkJ/v/M7D/ufv+P9r9JD3Nsa6nOisG4nhad9WWnJ5xCRdGY7VfVYFRpFpojjnhjWWQVRo0Jz62fXolmQZzrMBojRCEqHL6ME4wMJ4r2b/rOxpumDoXCQ85z47QFxWCcSR36gTdOsJhei1KHkw6V/akXhlQ4fDWaRRCNmfSt4QmOxmDHtoKrZhc5wY+g4A7sORYEUJypT1G8epVTp71bu+xgL+EJmFsauQZ4MlG8SjSLis2wfdx8z6G5mbUslEizKO3Pm+y96oAuhMNccEBvmRuyAzdQRnU/jWXNtMh1XAs1DQGfO5zg/9PM/tNlWf6TZVl+N7P/zsz+V/UfsxfGP7J5U6h9PePTXkFWTU0U5hbz8gqpQxiNIbICSFVSh6VCM9on2GZZ6uDP+rK5oXZCzLk+jGzBGCpRKZgWTd4ZMJxKWpQV3LF2QqiIhLUTqn7D93CCx7+xgrva/mQ8Nx1PqHOtUryKeCIXvVjNuCCMuErxCmkWQnuySgqeUTKOvdHrW8GerI1i7oBWcLWEJ9HBnvb87ufGcOqmuQn0tXVdk8wS+IbFIEB8+HWyt+AJpgqVHFCxPRl1xO0axatCs6g4q3dQvDBl9AmDimazLHt+SFLBs67r17Is/4OZ/Wsz+83M/ud1Xf+t+u+xQxedMMa/3WIwUFo05CfO+t6SdiEGw4tXaBY9B6r9d+akwVP9hSpmBKo1I1CgIpzqZkFkDckSw9kbF1ah3d6ZkhaFxoVH0SZ9V7bGuw7CN4zWuMmiKARzvCANgMiW9px4vXG4P99hMND+DPBEPzhMf6LG+w7skQ8ObS9PDnOtk47Zth5tmMqhj1Ey0A2UfM8BWXpQ1p3VmOKlBwGuULwiPKFz6/7Gu+7sOgi4+sKe7m9tnjWKV/49mGGK16Yz6chCe37POvxMPIH2njrtFYoXcK6p0/5zKaMqzSIKyIgd0q47wWZm67r+KzP7V2f+bSUtCiPBT9bcHpO+1fB9VFF5KTURRJqQvqiiEhpOgTKQGRfspBHZB3BAzziVFyq0Y0ecySqOuM1zy95v97fMWVXmdltalLZ2mqMxvDvE8Odtf4pXdkaFFlfS9cwRZ9zSSurwP/gnMywyPGEGo3KwnygkgcGoRXcRrmqGM+LwoXV7LJjixQ7r0Z577G5NRPEyI07ahT0XHpRLQYAb8KQb91QkuIAnHFcBnlD8Q7iad3xgfOcKxQs54k1n7qwiPAGyj+t4cr0oDR+U8fXuhbkti33b6AXXKV5X7UCF4mXmPdtK4SF7flphHHvq7cnGv0Vck0rP0kupw1KU53palDniZqiicvuJnVWhOwS9BQ4ZlySqCcDvmrMaGAzxilF9brFxOd16LTWG+iEDddRQqCntv9/XTkg0LiQaUwVgNbJ6uTVi1AP5ir4lSgaPdqkUL36wF99DBSsZ9jzQniMUL7jn7sCTedxzNQaFrjs3zK3mXOu4evY9pBQv4eCA3gOleC34BkqWhbps74vYI2NllNW5clAu4onurL7Pl1HfL123x8/lBF96KKiS61Nx+4+CMaQV2rPsz+YETydD6lxjfVE0Jk6v5cBzJydYS5npBgO1E6pRMupUBIXnlkduZn0rTjtPdXayhJJxKi165Ru+w2DY1f2JW/ksdsPcLuIJwz8ky9oJ8Ug7MoZXDw7X59b+f+gpZZaEi28qeHKGinC6HiHpuqNQvND+POOA3kHxkvAE4HVOzevmRihemx6Fb9hu2J/i9cbvxBO9HuEeX6YWBCjoC/wedS1im6F5wR93gjdDNP7tyT5I0P4jInLjBcY0C9W5xjw3lh4Gc1vf066E9U2F1xtnoNptoicBHpSSfL4Mxnnn+hW5QdcbUwOnO6D9a3v1/hWuN84jwbMsj0odf2Opw+idXeIEAx3Y3JrOfo1XEI1pY+N2Qhp/mBeG4OvSmYGTHfFb2glplAw2N8Rz43jiFsM4nvh1azqobdq2vp6sm4WGlRakfFHTfP9U8KRC8UpT+8KeQ/UI3wmeaEEAo7IKntDevwhPChQv6oAG+Mfm1j9sjeHcCFa2sX2btnh/jn+j3zDbnwRPpv1ZwJMKxYvWZYD9yehrKBP2XPV6hOeq35xX4QRHvsxsX3SKF3s+7gRXiNG4VZJuOKOolOpc35OaQBuoUFFZSuMiAMYVlchgnEsd5hy+lIoAuyJgR3Ect5IWLaQZU8MJ5laiZAjOKjValblxQ698w1k0BjleMg81PPxqEQCGJ+r+ZHhSi278xHZCN1G89CxU7UYqs/lbo9xoI3uOOMy9GqeoCBcoXvhAewMl4zHjyR0Ur8ip1CheMZ70A2fO9XW6SY497d/x6KOKJ2besy1z9sUWhlFhsBoJ3jBilpXrEYp4Ih8yCCWj3lZOk0W4yp5fwglWw/dmNU4wTIvKp7Lg+lTVGAJ9K9GYKMptNnNL2YY3m4GHVlQ6nVlD9TACKvDcKM0idK51h+5SUVrYykxJB/KIxSxbcVbjpvmQZiEYF7bG29haeviQHaMxNeePRXeLnGB0vXFlf4qGs9ZOKCgmvIgnn6d4caw0m7+1GKdGfR8LP6wrkeDwBkoaha1gz6gvkr2KJ9Ge87JZNwuF4nWm8wWc2y0Ur+49sMuYbP6GeUchnPktX5f+BjypZaEYxetiPUIRT9RDxrsoo5Hf4/Vlz8edYPbCrjaWr/ET5xMGL+i5RrMoRWMS4+Kju3E0ppc9EY0hoFozGD2gxc3X+yeLQmBQxYZTiXIfwQ39PUgO6KFELntmbn3UJIkawzUmWQcYlRL2XEyzKBZuub+hpvmbvsX96f5W4/Dx7hByxILiCdFBvLCjQiGhcxMpXlU8iTNW/rDOKV4KbzbCk0oXmzlia7MO6f48hyenHPELlIzb8IRl7gQ8wW3acBBg06OCPTPF67niQwYOpkVUIZtk1aI0vj+nP91C8arMjfVU1znBFTzhXbzgwYF+D5oX/Es4wZVFUxeiyktR06KYI1Qjv1/nBG8/a9Hd3LgYceh+e3AOHwIeHt0d52aGCs3w3MyCaHQf5aGXcHCnUkuhkrZn+89KWrRSeHi5QvtCC7qm83h4qURj8Boj2SZfqgq+eB0pwpM7oqWVbhYoyh1RvNSoVGludnFuQarTbMYTRvHaZAV9gTOVUbwqzip2rn2hbXT41WkWGieY4MmjyfZzY9cxg7nR91DAk8IFQNXo7oQ9LNpvcz3CKYrXDdcby9Hdwv7kVIQK9rzHl+ER8Wt4wiL46tzQurHn404wjm5EVARgMOSepQHnxhmX2AHVnVWUxrjKp8TthPiHo8q+/uScVdkRb4BWcJjvaKPTvzdGySgZQ2Rc0iISZAwLxoVeBQrmViiiY9FSEwxn0wOlGa9HY5YpGrOSaEzFuMD9SZrmY4NR6YGs40mF51arR6jMrViPQA3RLKs6qxmeKBQvtDfuoXjtsqgegV0S0f2tFAku4Mmd7cnw/jyPJ0vBEa9QvJq8EgRosoMdCClei2RfNtlxLWKKV41mgfb9ZUpGYX9iPLlOL61l4WuUjGoWSokG/xJO8PQSouguNC5iWjRIocJqbroxvQ78QoDKBym3StofJbp7RBZG4JENRjA3JPtYrkVjouuNecQ2B0rcTohFYwLjIlxHWoruMg7f1XZCicFQI8HbqX6WVb7hzBGHc6MX31QOyuPfwsjNlXZCRUrG9ab5BV6e3cEJVvFEd1aj617NZjyJKF4oYzWNW8CeSPYKxSvMvhSuN74S3S29hwKevCvA0XTGsjqeYIqX2gGkdrCv4Amy94zixVojsv1ZcsRV7DEdeyoUL7Mi3cTpENWRGNAZPR93gqnBYMbQ/S2qqNRPI3o0hhtDdtrTojGG9A2aXPsnPxHlsgxUr3L4rJA6DCOgUyrOgGyhmjvrtiBEY6IUH0uLDhELYgwvzy0qDDHNGG5j65xgn17LDIZCpdl0GGVZ0/w2LgRViieas3r5euM34olc/MNoC+R6Y92xvQFPHgxPIgMnBAECfZU2bekFQGBvsCxUpR5BomREeCLwcTk3uul7PHfQLBCmRXhSqUdYTHPEzWY8uYviVbX3Hk94JwlcYyDXI9xEGVXrETjNgvgypYP9Osn+5SPBzFlVw/fV6nP1BplywV2BTySnAxNZiRP8AAYjSzM6fRlAbeOOsqoj3sDEi7P3YMYLzRSgvIs3q7RpqxXIJKlDob9zJS3a5BXDaTYDZRSN2f6n8rm9dEBpURrd7XRYdcPZdGYGY9qfQaN2PzBzrinN4k14crUeYTOcqjHcfnqKTHhQFvS9zgl+H66aXaN4VeoREJ5kFK/S7ZoATygn+Dnv+0oxoUKzyPAEZe7YIUrB1aYzpHhdjgSP+zOieNV8GXSgLdKg3kTx4kEAHU9KNAv3t9zvmf5fs2wu8t4HO6s8YlExLqrBQGnGesGdRrOIrjA0A1QEwo1BsnE0ppflbdrM5gKDd6ZFfTQGUxH0QrP6yyrRAAAgAElEQVQoouhlz3SHkNKimXNdMC7YEcf6qtHdKboRRkK8cYmda5TGrVAy+Loh2byaO2qaf72dUIG2UMCTiOKFC4NVSgbnO1fmZjavR4xTuQPK8YRjpc98qGnR6twey0zxuotmofFmM+d6dhSvBQFskj0TuZ5l5+uN4+hujROsBgEW0/GERoIFKkJE8Sql9hGeRL7MmyhetWupvQ7X54YcZja39nh59PwCTnAhWlq54Yk6q8zQz+NebZrv0y6RviwKIVMRgopKszkVpxoX1teTRQDgpiD81krkxmyOxsTthHSahSart2lLm+ZbL1s3nMy5VqIxTedS6nAYN4qwVJxrjXuJ9K3ItnV5Xzuh/ODQZK82zWd4IqdFK3Mr4gnj8JnZcANlRvGa8ISsm5nGCT72nOCIEwc0DlqgAy3Gk7E1YsVZvY/iVaqf6P7GKF4hrgrRxwxPlLk1WT0I8Ka2jw/8HhR9I4oXLriLKF42yd7iy5gu+z6KFyqe1Sij7Pm4E7ydykDEgqYbgHEhp8ias6qdMLC+lXYl/ApDsxlUK6lDetWqiRy+kiOOZLNoTDe34EaqTXbUF0Zj9p8K8OB2QncYjFn21rSoGLHw33DqgD7HdTPjPDfVWWVV1/B7r8zN3RgXcvhs/iaZbIW2wHlummNbwZMoLQpThzIlo1CPUMSTOLJ6Fk8KnOAMT1yGQi8MziLXx98yite7ivOkPfcad5b1ey4MRDB9EZ4o+zPo4kCju+C75PUIAp5EDrPX9yaahY9yZxSvSrT0ctvHAsWLOav+euM7KF7MJqp4wp7PO8EFgwGNCwnfo48hilhcaycUOe1e9k3thOjctp+Ks4qjMYnT7oxLOLfub9W5xdGjHFSjCMsdVARkDDVOMJNdqKzEmy1FY3QAzpxrXPzDGsufm9tdbdoQh2+LxlzFE1Lse7HiuUbxuqMeQcSTIMpjpuEJ258qntAsFHXE+dykNm0PdBjAFC84N4pTTYdxbmb30CxMwJMwys0u4ej+dhcNqkJF2P65FgSgB/ub8SSb29kAR0Txul6PUPBlgtvavOvJKF4QV6lPN39rEcXL7C/ECdaju0RW5qX8/OtTza7wZuO2Z1MkOIzGjLJXI8FQNkt1+ij3xab5uJ0Qbpp/vLPcYBiSTdOBwGDQpvm97PW06Da2Rsk4ZLX3sCxkbjf0CX66NDnVwbQDSdNXnpu5ua363JoeV/EEtROKeG46JUOvtWCHvhInuBDdhXNrss9xz8l0MIaVCFeZ8Sb84ZpzjdcNyZph3iyTpd0hCpQMBU/QGt9xAVAbW3VAPa2ohCeRs2pVXNWca++f3EXx8vq2/65wbK9TRmtBxflgr9djVfCk4suw5xdwgh2H75lUVLq/VYwLq6ikfUgvGsMKFaECqridEJ/bLJvp65zVQLZ/UmfVbXqZwxecOLdx87nFPDcH7IcSh2wDdtbXEwDaz+Lwmc0ZlcxgYFl2Uu/0TSIWaupwNoY8uut5biUOX5huJVX4Ap6kTfPFC4BQhCXcnwWDoWfYtp+n6xES7FEoXgxP9KjxdU4wi4jHtK1uboXLPZq+V27ihHiSyFZoFgqeVCher7Hh3HJ7H1MRCPYImbBTBXfBwcjLMoqX/3Y22RxPYlytFfvqvkytHqFC8VK7eLEDYmjvcx/4805w5WT4q3L4ePh++zkvGq5U97JRamKTHfW96ojjCEB1bsG4z7NzY5ti1rea8jW7yAm2WZY1za9VaHNZXkRyLRqjpA7PpAOvpg793CLjQucGsg4lvrPn8GVzUyu0DXD4AjxRO9NUsJJlKK5iD8jAlznB9MbDSbZ4AVBoZHvZGic4KuRT2rQhPLmD4hVdAHSFZtHkr2JPieJ1GXtYdFe/WEPZc7XOF3EQoNJ1Rw0qQl+mhCe8gK1W5zX+7U5O8F+iTzDjJ7KUWf8xxBWVZj5swisqixw+97c7qQjDCZVVaO8/r4Cq3B3iXXMrpDGyyLWZl41oFiOoomhMrU3b/M4OxwsdzmrGxaAxzNsHZtGYFcxNScVl0V3VGPr9mRfc6YYT4Qk1hiolYyFdPej1nghPcn1fshSnxr+VKBlBmzYzzaHj2FPBk8ix9bKRgRtlQ5qFgpXkoKzWI1CKV6FNG+tMsyzXKF7wemN2CUd4Y9w1PJkjqxWKV7Y/VVyt0Sx+Bp7cSfE6y3duelQoXpQTDGSv+jLM1qqUUfZ83AmmaVEhdB5VVFY4wQ9kXIKm+WpFJQ7fJ+Dnq5gL6UBcwGFQ9mpalM0tpkM4gxF+6LOzysctzM1db1x5D2agTRtp12RW7ClMT982yTKOomow/Dec9QlWozE1mgWLBJMIqON9c30rlIz3NM33a5FRvC51hwgoXmbAobvY8eHYGxVZ3cApeFJJi56heGl4sstewJOrQQDICU6ixpBmQS7heA+eVCleaG6Vto85npTmdgZPhJql+GA/c9ojWSXab1ajeLHoLqWbOH8q259n8YTTYWeMYM8v4ATjj5emRQ3J5mnRrKLy0vXGiWM7yCbRmHmBgypmx5uNozHOESdtZmYdKhELEsHaf1bSotJpDxqMYueLyLgMsnqbthIn+MypXnLSuEPnqUIhz+1hw4so6XunMSxFjY/fM2e1f07RLCqdL2iqczYu/D3MOl+mQe0/544PiMuInWsYBDhB8ZKyUPvPWlr0+FvaHWLKLKl4XcOT21K+3d9oJNhmfUucYELx2sa+ozVi7vzdSfHyEXwzgpVFPMH+CdZXpXgxPGEUL8QfLtkBhieT31O43jihjCqZJXxduo4n7Pm4E/xY5hdgprZK0p2CttgVXkqFW1qJAITRmO5vd5yeLl9vHF0ja2Ja9DF/kFnT/LP6VqpF6wUyelrUrFahraXi7qli3v50bs+disbQyu9eNit6OX5P51YwhucPGXVHXEmLZhQv/damfbzSNzzq/BZOcBlPNAe/dhNnZW56m7YqnsRtoPR18zdQhgV33d/y7hDI8WLfsLjnHu4GygRPYBZK6kwTOO1TFDa7sKPgXJ/Ek1PFeWxugD9csQM80wiwR6SMUr/nUdmf28/hGy7gCXt+ASdYT4t6jlDGualUqsPuEJcdUIOyqsOc8tye4/xwNGZ7LrVpC6M8TrZwGIBzMyyrFvRkTfOVtCi73lilZDQw8eKhcbkjWlowGBgoWfHE8XtN3/rtcizSVJobNBgCntw0N48nJZrFGq1xjZdnVuPsT/tTxpOYBnU7nhRujGt/OU1FKLRpy53r8TB5lZKB1rhKszADFC8yN7M30qDIt6Y6q5UgwGJkbqW2jxU8yWlQURDALmHPXc41pnhd7Q7xGm9YuwRPHJVFxRP2fNwJrht662TvaZrv0y5Z03wzBKoqFUEv3Moc8f5J06JONqpi1ua2/axc3TylDmV+Ys3IRpGxWlq0ky20aWNN8ytt2jY9zlOFajy3RIde31MO6MW5PVhaVGjTlvCdocG4GU+ydUPRLt5/85CNKF74euNKPUKBVkQvlNh+3k3xolgZ1GV4PAlxVXDa2eG3RsngsqWUb/e3Kn3tscwUr6ZHCU+e8z7iOHXO3p9yxAnF6x14UokEz9HoeG6orVyNkqG0tEywp1R4CCiYl32Z7afECQZ4wp7PO8HueuO4Xx7j0bBTpLoxyRWGb7reWK3QvqOAjcnqbdpuSIvuPyUjQKqYK1EeOS1auro5btOmzG3TQ0+vLcS4lFKHxInwcwt1uBiFuKOKWS3Oq/LcVErGpO+ZG6moMTxnONt/X+YE34AnOofv+vXGx74fZWUqQpJCPdumrUbxInUZr3F72esUkpe+T78W2AW4A0+0/Rlkix434Ili75MslErJKOGq4U4dlaDFLdjzRGuszC2S3X42NfIuXmIWCh5+9T3Hno87wbNTkFVUih/6Q2+aX+XwmR0LHDfNP2QOnfWT+q2c4J9yvXESsfXthCpzK1S1v48THOngjSFzgmdQRRy+JotP9fk3nDnXlSuLr7cT0vnDLPI3zq3C4Yua5l8pPMycdnVuuPJb+S6z92CmOaAVTvAZOpgftxIBZdXnfmQ6t0cdT5S5VaK7NeyZB6ZXNxcCMpWMYJNHeILEGZ5UOLaSs/o2PEmw8iz2nMjyXad4OdlS28cTuCp8a1kXL7PinrNRVj30secXcIILDqjpnBtGs0AVlS9IfRmXfNHa0OGJaP9ZOdX7E6reLP6+xvKj03PfhR1KO6Hjnd07N9z7MmuaPzur/qmkRZvONVkNVH0UNi24Kxz6zrcTSsZVIxZ2Bz8xx5Ooab5vJxSlDs3OO9dh03zHc1OiMU02a9OGdIZzA8YlL2AT9ic50F7mze4/pblB2cpteBkl43wQQL0sKKN4KfUT2+AaxavprAaceD2CsD9vxBM1s3QFTzKKl4onXt+s604lqCjPbcFzU2gLmZ/WyyoUr3983SHIx6AU/9xVzT05tkI0pukcVlQ+kBEoFHmRiMUZg9E/vKJSd+iOU9k5Z/WbpDEq7YRg14lU3+OpcvhYz0kzMDdw2DJDPDd24yFO1y9LwOETDcbkrGYdH4TOF21uT6fvJqvszyQK0f0eV5/XUodqq6Ra67VR4QxPMCc4+i4d9ggOaEQ3ueV644vOKseTAIOdI34ZT07gqhIJ5lFj/UAiX250A8XrpYd4WK8cfre9jGx43mUgatM2B9PyLMmhQ0zJOIsn2Z5THfEaN/p8PcIZvjMMKjo8yXw6s446sf+8SvFCeMKejzvBjMPHC0N62QKHr5A6jKq5Pc8t+3g32X38IBrT/nVpgYcPmFERxrmZRc71oWevw2VO8EuH42930CzaXyopX2VutQpt/eCwja1x+Laxtbk1nWWeG8u+CDy3PHWoRyyuc/iu3Zzn2wllnEM9HYixh0V3KxQvsy4SnKzxIJusm1mN4qXQFljG6mpa9AxvVqIioHqEQoT5FgoJ6ZJxlWbR5JWATNNZ6WaxjatTvKrUQ5zNFbCngicRRlzAkzACahdoFiHF63w9Qo3vHI27/awEFRWK11U8Yc/HneBNf3XRimnG7vdK6lAJ37exszSGmRaNwZGFOLV/1gEtcYKrlAyRw5fTLHTj4tc53kDH32pp0cgI2LBwUXQXgaoeCQ4MnNVSh3IVs3m+84lb1VgqzmbZq5QMF4QtvYdzfGeGU7OsEuWOsKc9cxZKwZ543TbZUYcKnqi8WUbx4tcbq710s7SogD2lto8Ir29o0wYd8esUr6bzFTyJD/aabI3idb0eoYQntAcykP3J/onsgFqNMoqzh7ovE2eh2rhREGB7vO+l4EkYVAR4wp5fwAmupTG8gxbJ6vzEEVQlTvCz6SvI2igbRSGazkpF5ZQ6FPloeUWl7oBO7YTEU1neNL+TrUR5SIX2mbSoDbI4Gt3krxkMVqGtpUXNcMosLLhT9xxrJ1QoNJMMRhTdZQbjYtP8CU9K0d3YCFTbQFXqEY656QZDoVlIFC+CJzqH746rm4HsjXiitWnbfp6neNVamV2dW5NX8QQ5zBHFy9vw6GBvTnZZfi7Fy99Amdlw5J9Ee87LvgtPmC/zMymjNU4wsi8jnih+2kSzECmj7Pm4E1w5GdI0Bmw1U2vgbaYZDA9+b6NZrLHhNDOpndCZIpIJVOUbqeLblWberK7vXWnR0k1/z/G7jKMm+cFhG3uu3qXFKYAqRA0caCek6vsCHuIwy9y1auoQRSzIt6ZSERieMONSSgc+L84tyiy9sKeOJ5FxkXh5N1C8osLgmkPXr52OJ5lzreDJ5dvwSnOrtn28iJXW9ucoW6FiRXjyUyhewZ6zIp74oIXZdYrXJSpC4rTjSPDnKaN43AL2uG84ble3PZWD/V/mxjjkrLKTAP5488sc8mtktRMGi+4qICXx8szL5sUTUUUldv5IFOJ1Kjv+lkUsFIcORSy+afRonJsZj8bAdkLJJRyo4pnLjvqGacbu96oRiCI3JqR8mw7K3F76urk9FhyNudZOKNlzhYjF5WruEt+ZpA673zM8qURjzGZ6VQVPapzg3BEv4WoSwerH3eSv38TJ8UR0mCmetHHHPRdGxAWKF61HEOxLk61xglnEds4eUox4eCpCDU/kIECIlXqbtuqeexfFCx9+r2OlfnVzLajovzMq+xj3ZxwE2H5WfJkJT0DWgdIsRDxhz8edYMqjEcjvr5dLIlhmqsEwJ/scxhjHbbKjc40cCN9OSDKGk3EBw7qPoeld4bmx9FM/t6YHAylVlqVFcQB/fA9N34rhROvm19gsiMaw9wDGbfJzEUlEWxiNS0izcNF++J1ZjcNXjfKo0Zhax4fqhR3H74cxZLKaMZzwpDm2BE/0w7r/JgsRlgBP5ixUoMP+U8GTEieYtGmrULzgutko23SuNM1H64Z5s4Xrjcm4FYoXxJ4Up7zTzvVV5tZ09vvzDjyZHK9yJJhgpc185zsoXhRPFKcy8Dmm642zrjsX8aTCHy7NTbD3Ep48/bizbKXto8eT19xEPGHPx51g/jHgU4OPKmyygnFJKirNNF6eB0olEqzNzX0MUc/S10nLzU1MC7AIwKmiNOFUz2Wjk+HxNx6NsUnfLHU4RSwiPpGNspGzqqRFm879uHE6EPGdAx2cvndEY/yfw2hMod0hA+BSgUyh96WGJ4FDN+kbO/hq0/wKnvjDr0Tx2n8P8cQZFwlPHPZIc1v1uZmdwR4+t2l/Fq5WV3iPL30LeHIVV5seHk9CZ/U5fpcxnmjONbqgIcTK7vec4nX8XnXEzaIDLTrY47VTo7sz33mXleon6nhydz2CgifT3IRM9XEguerLjHjyj4cTbBXDWePwmdWMS/vYs9ZOZih1qDjikQ5eVg/1n+HwlTjBoXHJT/XoVHZHWvSedkK8KG2mkPA045jqjCu0UTshPO5VDl+QFp2ca14gg2gWsP2R5wQH+wjxnZksOmQw2XfiicyNLqZFzWp4co7idXPbR1cYHPNbnWzogK6vn7Tg7jWu258yJ7iGPfD7fb1fL6vSLBI62NPNrbg/0VPDE73Yd8KTQnS3RPGK2rSBeoTHwjIqBYrXpG/kKBYO9rR+guGUzbKFVmYS9pyhjAqH37soXu2Z8EQ8pLLn407wdL1xSuQ+fs/4iWaacTmcP2cEhCpmhRszR3cjIzCOGwPw+JHF70H/IJUIQMUBpdGNsGWKNxhAljniwW1bauqQ9b5ET50TrMuqHL4pWlqKGnNKxubgV/QdZc1YNEY3Lt6xPTh8dxSG9PrGKdSKI24G9txVPNl/aodfLKvUIyhBgIqBM8tlp8P6/vNqtLSCJ0Zko3XzvHY9w5Z0h+j+lh9+j9/DAt4SnsxUobCTxKBvjeIVU7GO33NHfJTVaRaRY0vwhNguf9gyK3bdIfM7S/GKnfbxW4ud66ZHk1WyRbsOUTDEHfqUGoMKnvw1IsGV05OjLWTXM26y2+/xh26DrFIYoqUOR33DfnknTk+vuSnvYf9domTsIKU0zdd6ddowtza/cI27v92SFp1tVk5b8KBKorv+G86ca4WSsemg9/VE+lZSh6G+/aEoca79oYhFYyqcuAdzrolxuUyzKOhbcWwv48kD44nSGrFSj6DMrT2foHi9DU+89bb8YK8FAfZh/f68SPEy+yviibMZySUcyrptOhTn1v1+H8WrRkVQo7uUZiFQvG7rNuPx5CaKF8OTuIXrLlvAk+j5uBNcM4bOuKyx4TSbFyIyLjXqxCbTHMZahXbFcEag6k5PsKLSxrmt8SlykC1Ebpp8bLwFWTc3s4CSAQxGrYhOTx0+s0hwybke9VX7BH8H0Q2YFqVOu5vbmhm44/fS3NZAX29cCq0Rn+E3PK+b2XWaBVoLru+op5YOdHgSHpQVHSp4Mo5bCwII7+GpYE99bq+o8ZNTvO7BE022QvF6plHj42+5s5rPrcm+A0/84TfGE0DJCK5u9nhC5/bQ7MChg5vbI7rhrsOeMKPCbozD3yUs8hewp0bx2n7eTRl9l59WoWREePLX6g5hzBgqhGsue6X3ZdwDb3tWLyvw3GKOEJmbwHMrfbxSqrPNrTnXunFR5tZ0LrUTguPqBoNFjyrGJYpunDcuesFJnA68wOHLqBNe37BpvnfwiQ4TJ443zb92vXGMJ2rnC8bhw3x5vz85nrRHwR56+C0EAeJUZ46VPBoD5jbhSSUqlePUWjKGZw/KjGbxPuyZqAhJdLeGJ9r+9M5qSCHxTlpGyZhwVcTKIieYOdcITyJKBjwoX6Z46T2QH49KJx2/bnlGZc6AF3yZEp4I0d3Ql9nHfdUj1LJF7Pm4E8x61cV30W8/JaA0QXb/OVdJCqec0LFlp6e8ijmKxninspI6jCgZnnNTi4jzKwwRzy0tDOk3ctI0//z1qUVQvSESvB36etmYj6teieqdv3LqMKR69PoWUqhhqlPvkjG9hxO9Lxme+LmZ1SgZcQFHfvh9OKA6gydKPYIS3Z0O9qFjq+PJWsCTEtVt/z3CVW84I4qXx9U2P6gvLQzm63Zpfwb81tP7M8ATs1pkdbo5VIwap3zn0/UIUZbP1xjUuu48FnZYnw9FZtcpXtsaI+f6Xb6MXo8g4UmpxkCgeJU4wX8JJ/gEJ/gFqnkHhdWdGpQG5Rnn0EyLWLw+hlJhSMVgWCrLjOxdaVHvtOP3a8Pcmh7v4wQHRqD7nTXNf8k648IjFlrRixnh8N3gXON2Qpq+WTRGbZqPrk/lqc7rHL47Uocj3zlu97WuvXHJ+XP93CJ9za7hicLhqxxo76ZZKMaQ4YlC8dKKfUd9K9gjF/uml3Acf6vvT3Uf3dMd4vGw4UVUOcG1rjsBVvrLSG5wrv2f63znqECwk014s76jUCQLD/bKnrsLex4jnpzyZYRWZhXsqeBJ9HzcCTawic2ug+p8wohe7igbXmFIaRYoCrHLKuF7azrsc3tTWjSrLMVzyx3maGP6tKhUcOdBNcoMPEdZnQt2Ty9dc+2+onTgleuNazy3e6LcJZqFnaeQlNKiuw6Uw/ccZc3U1GFzvPi3Nh36lD2XXInay9ZSh0qP3qZvheKlGJcLeHKZ4mWj7Ak78A6KV9ZJwuNJvD9H2TBaWsATdX9iPGHRaB17rOisytjjnetS28ebKF4gCMApXoRmwaLGbm5m76CM6nii+DJKZqniy/g9V8GT6Pm4E/xuUPURACUFfxvNghpDrm+NimBONvrQR9nLadH9mdKiYTS6MrccVGE7oSC6C1P7LB04GZeon+WoRZQOrBiMazSLSjuhIBpjV9O412UrlIwpLRrcAjfTTYQohJNVuPURJeOI7u76KofJ54gn76N43Y0nXLY9GsWr6euwR+iSIWHPLlOleJU4wYTi1eQVilfT+R378yqe1CKrHCvfMreyc93JZhSvSgS/+z2i/1Caxd2U0QKelLpXRXuuQPG6QhmNnl/ACWagGp0atp+lCKjQ0qPWJzg/PdXSouN7KKVFpcs9lEOGPxkGH7qz3qfmJtzaFDXN92vcxo66Iqipw2ntkluQ5t6XQTqw+z2iZPgoTxiNmVJm8dyuUBGiKLca3Z0jWBUKSWVuT8rhe0zG+wyeBA7SqT1Xx5PbKV5SmvFmPLmQFj1nM6K2SqOsUvyzySf1CN3f7jtM1ihetdR+r0N2qcWor4yrCZ68g0KCrq6v4EnczaKXPXHDHfneccFd9K3tey6geM2UUR1Pwj13A2U0OvyeoYxGzy/gBG8/53R9lA70L0FPM2o8GuXqvl32zC0rEW/2WZmbOdlc37voJnzdctmKvu2nEhFvY8eFISOYlCIWAfhVOHwVg6FGLKa5JZSMmr6dwQjSjOULRn7WuhXSomZFPJFamf0Ce+4MJePuuSWXB2yyuuGscIIVrLzSBur5XO258qwZ/IYjPHme3J+J86di5XRIvYniNe3PKm3hhrlVW1qexcpbKV7OETcrcoKFWp27gwBXKKPKXq7QLKLn405wxVmdeW6R7PbTfwxXnbQzlIwZVMFrf42763viSlT4oRPjovDc7pqbT3mEaQw2twCsT1/DWTQuOheswuHjkYU5XV+cW4GSEc7tQjuhiGYxG8O7DP25dWvfJRI/gyc/izeL99FoXDSuXZMtcPiiDNtr3Prh9y5KRgVP5nWLOJL7uC1osfK5bWNfcOjCbBE4KIt4kmGl2qatQvFarHBjXCEIsGGPw1XRsb2rfqJUR7LolAyGJ6xNm1ktWnqllRmlE5rmpzHn+jLF6zHqGz2/gBO8/fSREK39hxDqFyIWFR7Nw+sbLAS73jjmHObGsMRz8w5o6FyTU6TUpi3QwTniir6KbNNZjcZsjtfxe5ReQ7yxKLX/Ng5f93vWf3N2ViN9x3FV2kJWod2Pm12fOkWCg/ZvlXWrOOJmI578INGYEp7sP7WIYtPh0JeOW8CTM871lXqEq5XqE57cRfEq4Mmp7OH+exjgsBFPIopXk52uN77poDzszwKevIviFbVp845tleIVjSs7oICSwbDSrFJHMr60sKsHOPQ9FkzxOuXLWC7LrjfW6pvygru1m5vZdYqXx5Po+bgTjIzLQha4YjB4yizn8J2jWUTjHnPj+nqDoUQsmqzyoSvOtcG5KTy3qEL7XXNr8i99hWjMBJShszrK3pfaP36vpOJCYF98O6F7Ol/4P1dTnffwh93BIb3c4/g9cq6Rk5a9hyl1iBzmx4gnEfZUojGzwdDbtJUoXgU8qfBmpbntvytRHu09NH33uZ1o0yZ1AEkO6z2etPd8Gyf4JJ7EFK/5CuAKFUF2xLO5db9X8YQ77egqeC3SntkB5crtTRbpG2NPjycRzaKXrfkylXqEeymjShvZ155r2ReB4pW7wL+EE7z97MEEGRazPsQ9voQKiRoyEYgRQLI0uhGkJq7c8ITHnU+GTJbOLTTeTfbJZae56bdBVYrowhupbASpY42Z7KFDa9PGZDfjMp7q7wE0kF4j3zsCYLQWhw7H71+JrD43Xd+rFBIiepHD9wz03X72eJUnQHAAACAASURBVBIaOBu/YXZYZ9HSXxdPdtlnvj/p3AScasYQvwc/t3tul3vpIMyN4aq0xt9ctumszK3J6t9wdX/aIMswooo9Mp4g/vBteOLfAxSFFC/dDtwUBCjMbb6BcoV7yCyy91gHs2tBxQolo7TnKr5MgCd/iUgw6rsbfeib7Pa7wm+dT/VRK59mDJ9Uto3rT0+YeE6cVQiqNsieSosKvS9jrp2fW3Qq041LhZJRSfk2nZW0qNkGJhWaxWmHLkwzzjw3NdWZFWXULrUQARjoG/LcnHFRW69tqUP9MhJOeTlvXMK57U8vG7fMQ7zZn4cnlejufL1xtO9HfeMo9/ZTwR5WTHMVTyrvoYw9wLFV8CSa2zbuIbuuWcGdzgme2z7G33DlUgsZK0s9kC/UI4QFdzrNAl3vHuGJPDdDdDv+nZmNVKFobmYjxYsX3I3jKtncCXvC/v3H3Mw02tbdePIXKYzbfjZVsw/H7JjYc92iMRqHj58aJs7N/hOnOpsObVwuy5zKKGL7mptgBLxsfHoadQijUmaDrOK0NypCyOGzY93MxPewNn0D58/pS6Mbor5eto3NI7YOVNdA1kbZZxhhmdOicZTb6RsauE52zQo4Rn2zaOlLdo0iLD4tmkXwe32TKvxhXMWxPb61dG774NG6zXjSvksw7pvwxNcjRHji6xEUPPGGSMKT154D6jrDKfGoBTyZ3kOEUwVcbX9f/RoLeBKum437M3OYzcD+DPTtN8ezhCdZlLuTDfZRn43bxtVls/057Ps1ipbOeBLOrR83sgPm5ha+h/lby/CkDf1cedbswIimb/yd9eN+B/tocpgVX8btzyijMu25m/Ekej7uBL8m1sAvcCCQk8apE9vPyQhEaUZvBELqxPrSN5NVAG1y2gOwng2nYDC6DWSmpTGkj9dGHaK0qArsPfAoBqNvbh+Pu3RrPOrmn57D16IxoUOnOqAP3WD4COgz2RuDcx3oO6c6Y0NvJ/WNU7PIwEHRYd3MmsHAsvP1xsncuifTt+n5ks0iwR2ePJb4sD7vOTw3M3Swv4gnJZyyQTZyKic8UTDCRn2VtKiib3sUWkgFp465GR23zeP1zhr2CPszO6z7641L+7OEJ3x/+kjwM9lzHv8iB7R/SniSHNY9nsTUiR7T4nVTHWa051Q8UbJbfRApp054vydyVnd9z+CJsufehCfR83En2J8wotPpZIiCDTTRLMJI5S7bOeJU1poO9tLXTOPwhU7la9zxpKVw7SKDUUmh+rRoFJWa5tZko6jxM38PTec5cn3dYGBZKDpw19q/USMAWQTUO4pRBOAKxzbIik7RaO6Azsalom+4bk83t+BAoqdQt5+9k6YWu0Xrhg6/mYHrvzWVZiFxd4Wo5rw/I6dyHPcUnoTjOlkhLargiYKrjGYRy+76ZnhiOp70Uc0j4kZkbcbVyKnsqRPrGmXCruJJhH9ONngPE/YIc2vjxnZgdPArfOcIT3qnPT6s23RwiCLtTSbTt4In6IAYrZvZ6ICqxXkhnuw/T+25N+FJ9Fxygpdl+W+XZfm3y7I8l2X5uzNjoAhAzo3Zfz5z2TZuFI2hof5g0cxGWe1SC9tl89NT00Xpv9k+SMYt7WWVE5wJ74FFxLUrZ43KbmN3axyM22R9BD8GND83UhVssyMeVlI7UI374x6/Z9/wDMB8XN96LayO7vVdg+pop2+0P32U+5ns5R6ewrk547KBdVId3WQFjOhBNeX5Nn2fMfeyybxkg0NRP7Ky544Iy/azdh1p5DCPeit4EtILXvrm2FORnSNN28+YczjqrfATJTyZsCfvcHLwKfP9mXW86fdnVudQxZM5shrsOYcRkayKJ70daPrKc0tx1eNJgO3d7xGuen2reBLVhpiN36VKGU27Wdi4j6ID36bDIWvGurc0HUa9JV/mLjxx1KbouRoJ/jdm9t+Y2f9xdgCUZsyiMX0hVJ5u6GRTQ2QvHcxqnRnCimfXL0+JxsTFY6OhV9o1va43PkN+Fwzna25CGiPqOmE2UhHyFmlANkiZrX5uxM4/ltGRivU95vaiTkRz637Pvst+D6c3xnW/R9EY304o7pLhWiV9Z9EYVV83t7CS2qZDRhSNMdPwBGFEtG79uAr2tEeR7fccO6xX8MRHbo5Kao4nvjglwr/Xniu0RjyDJ1qlevQenL7Ce1BwtY094xQUhXiipPbzrhPLpG+chTp+V9pyjbJQFOJJ/B462QRPfGGwSklLsXLCk3wtXrLUZsw94O/AE3/4lfyeXt8gaNHr8C100pmwp4InwsH+Njxxjnj0/MhF+LOu6/9lhgFbfVDhlsqjiakTzriE6QabdDBLAPipRzc0p3KUjVN8208tHejm1mQDwzlHjSdRYLy3n0qbtijV2fTQi1O0tEsbQ1njQ3afW/AeJtl0XD1l9niY/fl9yMZtiuZ0oFJ93sZV2wnFvORK0Z9N+spzEwyGgifzd6lHTWLKyyHTdKhQvDIdpj0nYE9MnZjnZkbwxF98U8GTUnDBqGwFT2h0V/iGczzp7ECKU4uEq5vOAHvo/tSiaNs8jrll1AmEJxWKV0ht6i/hCPFkdGxj6gQ42BfwpIQ9YhCgEoVV8GQoorsVT9o3HFMJt/9tK4xrL337v4dzq/gyBTyJnp/GCV6W5Z8vy/L3y7L8/T/8wz90f99+KiH5ygJXUgjIAV0W4ty/xm36VpzK7feI79IX9DBZxnNTPgal64Ty8fr3G0XEm/ycxsCy2GDkDt3LCISANuqt9BRWIsFKisbPrY3NOVu+4ERvJxRzd+dIiNonM29/dM4RT+fWG8PAYEx4UjAuUdcJ9L2r0d2M6mF2GJdw3QD+9fMYddh+KnjS/vJ2PAn2XAVPJqwUDuszDSrfnxmeLABPlG84O9gPeCJlwvJ1M8MUr/A9ODxh45o52kKAJ4t5ZzU5ZKh44rEycdI8nsTdcY5flWBajycyJ7iSLSo6oEzf9vTfMHsNswMa18iYAeyBh2o3t+AbruCJ1zd6Uid4WZb/fVmWfwP+75+lo3fPuq7/Yl3Xv1vX9e/+9re/dcqiExHTpclsP+PK7/a/e8jSTXzig1R4qHe0/4iMgNJOaDJwAViz642ldkKCA7q6Dz1y0pRDxvZ3vZq71zM1GJ1x0bpO7OOnXScOmazrxLI4ikPiTKkGw/Pcouju4oxApO/D6xvsz2Vxjnho4LZnrezPzgjQiNv+czQYWBbiyQ0GzrcTyiJNmw7Hd/lYWJ0DMxhobuM7iyKgJTyZHPHcwE14okSuo8P6S18b9I2pTTbqG+5PFU+Kju1Lb+Gw/jpAWSjb78/ssO5bI5Z4s5Xo7hrvz9G5DuyA77oTOOLtf7eXrbSVU3mzUdcJhCd3OMy+HkGJRlsJew5dmJ9GfRkw9LvwxF5rkTvBKR1iXdf/Ih3lwoNC3CrPNzRwLloapxucESjKmr2v/UfIy7Px39zeyiwwGPMmzoC9kLZb5nZCUoQlMRh9OyEl1amsW5OtpDqP/onb39QbnuLWQ+PvcYoPGIHQwHmDAUXNd3yIu07Mqc4oJWm2rceynKAXUMM54oliBEY8wXPDBkPHk0pfz0pbJbOs6jrfnx5PwlTnw80twIhDXycbYI9GX/MOs1FZs7EeIcUTdLC/G08S57rfnzl1oo9GH/+e67D9d06d0LNFj4cBPClgj0AhMdt0Vx3bDE/0w8D2c3sXi+SA9nsu82UqeNLrm+GqFmHefg6H9QSn+sLg7LAu4YnXN9hzwflnltVF3/OgLgN5myJ7yd7ah693rrMFnqK7hUUTIjeV9h+lVmZnHHFlbmnEAvBmw2iM5lT2ABy9h6ZzjTrh1jiI5lUi1/MaQ9HZuARA6WkWGf3Hpw71nsJ6cUq5Z6no2Ma8ZIcnUWoWfMOKI97GzZ3VgsHoo7s3pDqv1CNU8ESqn3B7LsTKZ0FWOKxPWHkrnoCDww14gmoMSrgaOuLqewA0izfgSXxhB+APC3NrOqvYk+GJx1UejdbxpNLK7CqeyLgqBCJ6fUt+mhq0CKkT289KtugWOkT0LMvyXy/L8u/N7D83s/9tWZZ/XR5j//kyLt9xe6lNtvsYWFuR/Wd7CfGVi+OiaVcY5rLt8af6qD2PREVwEfGoknpxxuW4whXIkpuulHZC38G429h6OnBsJ9Tmlrcy+wreQ9OhXzezrA2Ukw2+CfU65sWQceFtldrc1nW1Snue8LtcbDAu2ffujUvc0sgbonzdzOLuEHDPBevWy4b67j/79aBtil7jdthTwJPS3BJ9e0xTr1qNuk547FEiwb0OVBa8BzOtlVmEU+2ZcBVe4cqw8gY8WZb5PQTfj4onPRUhxxOEqzmeHF2CcjzJOvQsFTyxESOq2CPXIyR7zmOlsm6Zvu15FvBEykKBdoe34EmT7WiV0Te5jbumssiXUSleR8cbpMIJPBFujLvaHeJfmtm/vDIGpCJk0Zj99/BE5HvVFU5a2em0ly1RJ4RojJIyO/RVxt1l99+V4hSfQpVoFkE0pv29Xzemb9P5kN1+Km3P8q4Ti5R2ecmK0RgkG6YDv3dZKSq167v/VDjMm3whZRZGAHTubr9ubVylBV3TV+XNKhGLnvbyDjyRMkudvjLPV8iE9TqkayxFY8b3ELcpskEHJbNUuo7ZDn2ZLPp+zRKMeMlaLivjycxLjvfnqG+4doId2MZANgOKYkoG3Z+LdCgyaxSv7VG6TviewndcWVyTRTfG5ftzWRZtz3U66DVLRSpC6nMU8KQbt0TbEvFEi3KP4yotIv/R3BiHrjeudIco3fB0S/h+/BhC5xqE75cFR2PmtEC+wIe+20+lnZDSdWJy6EKDMX6QYQrqeayFWWwElCpxM5cOTIxAH6nUjIszAoW0aGluAQDPqU48t4mKkADPaepE4lT6aEzcA1SLFtQAeNezW4+KbE5F6LAnS3W+2gnFB7Nt3F22clivzE0wyH5voKEr1IkaJWP7qeDJS9/nhT2ntDtM8aRARTiLJ8JhvUbbGt+DUmtRsQOV2pCmc4mKEOnbhWwz36CP7pbsfXBYL2HPQ8cTZO9lKkLyfs2KNQZn8ERwrns8UVtaxi0iRx2i5+NOMLreOHVWu3ZCWZuO9sK2DYR18AscVrW/xj1k7zBwrD2ZssBx14nt59TXM+w6oQJatZWZm5vg/GUGYwEAHEd3dVnZYKDWQ8rc0nFnw6kUcKRdJwqtzHxxXngF8DKmDuPoru26Ntl4bm08s2R/emdVcK6V/dmefu1qDiger/15VfDkoesL50b3pg2ylds1nwKe9C2jzOIDuIIn1LkO9/Kot9JlJXUqDeDq3XhSwNV8XJveg9IaMes6cVbfJl+SDe3A8Xt2FfzYzzzCk13mZjxB/km6P5/Hd5l3neiwMvgeNh26ub0DT8I1HnXYAhFQFOBJflj/GTfGXX5eE9t/j1IIZz7INnK8gWYHNIq4mblKzcTAaZHrXVsPJsgQuXZCmsEYgf1q14mmswfgaO2mSvVg3CvthBTuWlolbrrB6AE4LWQxbd3Mxuhu6lwP+looO11vHBiBbbzOYU4iwb7qupYyw//7yEnLbox7jbsGc3PGRUt16of1fu3U9xAagU7mkM2cdh3/+u9S5/AJeOIOfeEB3MvCcbefKp4gjq1CK5Kw56WvhbKX8STc9zqe+O44Cp6k1ImHTe8hsgP9YX0N9mdvB5rOih1oOqttH6OuEx5PwuAC8E9kKsJNeIJ66UY3/fXjhtQJO2SavlkgQinkm3yZQuRaO6zDocZxc5H3PojDkju29pK9o5pxAlUhgiUVyHgDFy3wgxmMyAjYS4ft74GsEC1AETczjeeWOaAPIKvwUHPqhG7gei6Y1sps10HoOjG9h2hu+3+nqc5HzcDNTgEUJdEYLOsd2ywCOqQvA1A9kzKrOGkavWrGk0okJOX7dd9amjrsHPGcG22pLDQYaspXmdsZPAm+4Ur9BO+BHOhckD0OUDlOzXODooOTpnWx2fUVeMntKeFJcljHeMK/y9J7ENZ4k3WH9QRPVCpWnxFsOqt4Eh/W3T4S8KS05wp4orQyw3PTHPHbbtcEtRZ33oYnBIJ/HSdYCbMjw8mqL71xUQpvhkgTHdfpu/IKeJSaYBWVaIG57PLSs/+J5L2+kbOKuNFmOHLTdPbthKL5eeear93Mc4vehY8e1VKHfO3kiBAwLsrcou4bh77jewjn1qLcqz63rOvEZFyS79Ibomhuva7PYFycqWH6zs5UhbuW4omg77TngnGvthOKvkmz8eAgY08h5dsyYcqFHbFj63TY/03sIKnYM1MRFNlnspcxtSnqtqDjic8WSXMryD4V7JHxBDm2Aq4KB3sVTxB/WKGkvWRFZyrDyk2220cinkj2voIn3drp9I38sNVTmyp4Is+t+B5UmkX0fNwJhpHVNAq7/fwKDJy/3lhrwbS+xs25jLu+3zyKNp+0niGvatA3TKXYJGsWpANtnFsk26egDgc0byf0am0iOHRfrzYo7F3Mc4vWWZ6baWlcr+8ZTnCYDtwBqlXhx9SJXbawbocsFB30be+5kjqMr0Q9fo/257GPDtlo3TbZfn9CUYgnartDiYrVrR2lIlzGk9jA9e2EKm2VVOxRbu8b5pa83zM3xkVtH7exAfbcgCf99/6VYgTYcwGeyC0iS7iq44mZbjN6pz3HE5SNY7LnOMyvOofQDhy/Zm3P2pgv2dTn6A+IVIVd1g5Z1ZcJ8AT5JyplNPR79p9KFn4+0BZ9mWBvDvoGeGJIlo474kn0fNwJRum1SjuhnGuny/ZtadLUoR2y77jhSWrbsv/+XKOuE+PftOKx7b8zYO/TVaXWQ0kEYKBZpCmzZVg3syDF97ApYhFHucdxo64T/fcQ6dvTLHLqRKWlm0aPYbJxGneMxqjc0lLKTIjYVlJm2p5zjpdgBAY8Cdat1yFO4854Ir+HVYjcSGnRNm5v6EXsCddtfA9ad4gmu/3UsCfHCBVPyjfG2ajDHXgy7s/tZ+hcd99kJFvFEyvIzngSYLBwi6FZnZ890LYq+/MuPHmcwJPel0lx1Q7ZzJexQ990f+6/R4G3K3gitYjcf1cuIxnaX6b65s/HneC5lVkMOpvs9nup/UdokG3QoXpjXKX9R0YmP5WaUPR9rsNPhdcZFbJssnM7IamVWWbgQDqwou8dN8ahSHAEJj66EfOdVWAf02WxbJU6Mb4HpZ1Q1nVi2nPCoU/idz1GjNCoTfn+RHuu4tDduj8LB4c+HUiD0RU8eYC5pY547jBPcxMO631adNMNDj3iyf6zdgNlYX8G72LCk8L+jGzBhCeBw6xGVoe5FfStdAmq4EnWdWKgWRTsQNO5hD3Jvh/wRLTh8TX3vwKe2EvmJVvAE9nvUQ7rJ/Ekxco+PUCejzvB6FSmtv94PmNwMHPOdfqhb78rkRApdQg/yFjfock1fQ/+4FBwxCXnz8kKKbPcAZ1pFrFzXXFANbAu9fXsjEtu4MZvMpbVDQac2w3rBjl8yrolzsYMwMqeO+anHxALHL61gif5/jx7WL/jilGPJxXDuUWjoSg0LuncnhUHwg59k+iR+r2X8OSxzLI34Ak6/Er7s+CsStHdC3giHexTO3Dwhyvrll/YMWJJru8mm1EnYKvBG/Ynduj43LZxD2y9A09wzdIduOr1VbpO9AcHIot8mRvwxMtGz8ed4DYFBdhL3LXXou0/g3HbMxgBMdRfSQ9LbdqewntAcxONS9R1wgzzZiPn5BTPLQNV0x1QA7IxN3DUIeI1neIPv/TFui5Lv4ktHLe/3jjt1YmcghsiY6O++dzM/P7Esu1R9mf7q3QL0mvczrl+F57wZRt0iCPXQF/6/c54kh8cBJxC17Km+u4/g/fbHuWwTluv3YwnFR5q5lT29QhpBNRm5y+OBKsHex1PFoAnFFcHBzTHk8lmhOtmg6w0twxXrV83C8dtj3Lo89ij7M8zeBJ2nQD6RjZjkA2DC9vPCp5U2p5ph4xd3/7uBxHbo3Xz7yF6Pu4Ew151SaRJ+iALi1ZLTYyycdTERtnwBLfL7r9X2n9EqU50HWkEDog3FkYsmmwahQAcvii60fQttCeLbpBpOrQnjVw/xnXb/qbPrXZwgKLDGKeuRFXWTYgIqZGmnjf76jqR7Lkz1/qG4565Ll24jhniSerQWSrr30OY4kNzE7Enu552U6HN7R488e8yWoumR48ny4KpEy9Zcc/1vPacOgHwJPqGVUwDeBJHgvdxheju7IBC0aEeQWllJl/dDOyAllkS5ub4w8r+lPjD3aPRf7af0p4T8GSqRxCyRWf8kwquVvBE8nuklm4eTwrYI6yb8nzcCfYRi69noZ3QM2+n0X84PF1mu+yhg5oW+PrWW3p8BfpOcyt0s4iqxJvOytyarL/eWOHYtiK6uN2X7foqEYBjbmbGW808+rnFFeVI34psZW6sowakIgjtyY5qeT5u/02W5ya0gcreQ7/njmhM3E6oktpXKoh9ei3uXrDLtup6AU8qqcMzPLeomruCJ5O+AU6hvrv67Zo65zDSt+k82IFU1l46mKn7U8eTrENFvz/vx5Ndh+87sQfNLceeT+EJnluOPUpdhtk2v0adUOsRKnuuZO/DcQ99m6yKPTGeuHEFh/k1twKefIc+ndMh8GWmuRXsQPR83gnefw7pNTV8Xwidb334eKuvQYcojQFko/S716FyY5x8y0oS3fX9ZqNojO99uSxxCt6DVCVlFldoN9ntb9G7UItTxnRgLLuNt/3MqRMoHYjHXGz8HjYdmGyfFt3+pt0YFx9e+nZCytWwZmOEJdufzyEaQ1RwIFVNweepzkOXCsdWTouG4zojUMST/KrV43svUREKuEqxsrRubm7B+216KHZgEx51MNPaB1bwpELJUK5A9/tTaTWYUicMFbtB0bfhiV+3UN9u3c7QLJS9nPdfb7IaPabJtvHTFPzzmN+deKJEd0t4cgpXz+GJTBlV8KR7vyrdJHo+7gQfL7J+GompE+7DCT5IeNK6wxF3CxynZkd9FerE4YByIGnyvWzsMB9pjKgP3yY7F5yExVjW9I6NwKNzVqULO/b/VtoJqTzCB5pbsHZ9miiW1Q8OqKVbfAucZjBqqc5jzylpXLMWCc7X2GxTI+s6MfHlBYywLo1aoTal+3P/XWnp1jsctxzsCw6ob9dUvRCAQQTCHjU9XDmsR++h13nTJadO+IsfpG4L+8+4T3CTzQ/2etHfsT+1bj6jbAVPKsXJcdBiH1fC1VGHSnGygicZL7mPEirrto0r7DnkrL4BT+KC41G24p9E9t7TN267MQ75MsIam8XUib9UJLhW8bf9XAUD56M8m4HDOsy96gJwePgPvbBoQhqjkproHeaoAMn3vowOew8HaFHk5oGMQOj86Uag51VFsujWJs1hTgwGkI24mhUHdOrrKaQDs6K/wXAqhwx5Lbafq2AwBuMirFuTbXNM+cP7o3Wd2H6P6gYqePLan4IjjnpfZrzv3vHK8KQ9ysFeiR7V0q3IwEFR3FYpOawPHPH0YJ87Jk1ntTctqolQWkRW+u6W8ERxKk9cb5xHdyv9kvVi6kG2EIgo4clLFooOkVWl60STzVtEbj9LeFKx9/vvUdeJuadwfhiQAoX+euMqnqjBvzWf25gtYrKjvtHzCzjB208phTAZjEqP3gKHr7DAcUu35SXT/k3FeMsV5YLBUCJNTValTvTRgrx4rNhypxAtOAOqmQP6AAYjKsrwRivsk3mmnZAUNWmylozbr5uF+vbthJT+pk1WdZjXNY9yY4OhyT6laMHxb/SewvlhXTJwoJ1QiifDwf76YQDiqoo9KUb46BEVnfAkPoCPey6XtZe+ZmI9QvYNPyr781prxBB7fNYscvDP4OoJPInfg+2yCq6O+ioOnVLIt8n2B3soOuxl9bBewpPOFsh7TvBPRnoBFAVYqeOJUvQ3YI8YrNSKFCuH9dwL/rgT7K83jtuINdncSVvAC8uNgCB7pv2HINsehe+HaBYh1861E9JTkgl1wty6RXNzzrVZAH6mVxBX0oybgdv1LbQTyrpObPpu/51Hrsd1MwvmBtpAVfjZSjuhzAi0R0od7j/XLhqjAHu+xk1211k5IHbGhX6XBQD2eKIc1sc+mTfiiTC39tfBwCXjSjc8oTZtKp4kh/UKnvTfe3ZYNxvfw7Jw6gTq3hKt3TG37W8lPAl09hkgxWnXeMnn8SSuc7BhXIonhUPGgCdNVsGTFFebrHLImGXzFpE6njyVPVfBk4oDWsEeG/VN7b057EnwT2p/6f206LD+0iFU0cx+ASf4CPUfjld22jvTVikyAj51KMkK7T/mdkLC3JqsEmF5jZtHd3snLUtJ9u8h9GuXsZ1QFjW2TtYsi7A02Rj8vL7bv+fvWG2wX20n9JJVIizTuLmsxEt2NIv0u1zzYrf+7zp1QnsPk2yiw6oYOI8nwf5E6UA5JRlGTWwct4AnUp3DSwflPeyyhZSkFmnafkptz3rsSSK2PZ5EODVhTzTuwzrsqelrVmw1GOKJd0CZDpUWkcd/vxtPYuqEdnBAWKnszxKeJPr2fHnlds2XrBCQaTqot2u2p7LnqngiH+xLeBKs26HELqvo28mKuFrhJUfPr+MEv17YU28VUmj/Ed+LPZ6I7mr/MYfvhbk9u1OkmA7M256NbWmi1kM+BZUZl35uKs2itedh4n5uZhrP7avQTuhoz3NvO6FKWlSa23OULc2NfpezcYneg9keCc7m9lhk2f5Ur7yHTbbWps0s5s/V0mv20vclm7zfHk/UThJxi0ivQ44nZ+empjoz7PHfZYw92tyazjr21Arupv0ZOH8VPHnh6u7ZlrAn+Nbehj0FPPFBC21u2V7efkrY0+PJt+asVvEkl7Vddi3NzUw7gB/fzz14gmgLOp4U/DRlbp2dU99D3IJu1CF6Pu4EwxSC+jEIp5w+Zaa+sCga409PmsHo5lZIY6iO//CDywAAIABJREFUbd72bEy7xNQJz43mn8gIwBl1YqZkRCnJfm5m97QeGgBYiMaoHNtK1wk4t+Bb81GpO4pT+u895+Me32WlnZCe6tQibpusEI156dDjCe+t3PQ1iyMsHk9Kqc5KNEbAk56rmWKPcKhGbZVkrMycYBv3XBgJfoytEat4QsctHOx9MeqyRM4Uom1xHY73sP1NwhOJj3vMLZIdb6DM99ypGyiziHjhxri+HiHDk/Y810MXxaGr4IkauZbw7wKeKFmop4Anl30ZEU9KHb+S/dnrkFEn+v0ZPR93gh/uY3iucRpsk+mMgJDGMMscZm9c9JOLwrU7FjgCySZ7AGXYA3TRPshNj8U5tpnB2GW/k64TNhrOUN2l3/AxdWIxwBuL0ms+EsLW2cbNFsousyxPdR7GRXFAzxTTVK43zniE/Z7LqRPHmHo6MO8O0YNq7jADR5yN++jmJnwPTQczC7tOwPZkib4lPBH2JzrY61dYx85cr8PXd+F64wKepId1c3gSFtGNeBJSJ0xzIJqs0rN00+FcPYLSxUZtEVnplzw64jqeaEW5239n1Ik+a5bhSXsqDqhyY9xlPBEc5qzrRI8naYtIO2TNEuwp7E8UCU7x5NVqMA7IjPoG+xM5+GlUXtufPZ5Ez8edYOyAYlmf6twcUFFW6T/XnVxKbc/SjXmMm3681vTlVZ0vPQYHNAJrTd+XbK9vYgSGcRNj2K9bZuDak0ZAH6O+Zve1E6p0nXjpKzig/Xvw/36S3f9b4trJBrl9azptYV21qNQ27gGWSssdtb3UaoW+nmte+Y2b0GNZX48QHdbhVfAq9nwAT/w8osh107n/LtUaAwkjhH6sZiMnOG8ROb6HOBqt2YFNX1C7cIsDCq6uj74JjycR9tior4QnKU5VcbXpsP1UWiPmXSe2n6twsB/wJM2wITwRsDLBnn4vN0ct5X2fxBPlPZiJDqgd4+otZ3NKmnWyqb793EQ8iZ6PO8EI2HPDmQPlfBqptf+o0BYq7T9yg5Gf9prOZ3hu0QbadB7T9fkNT2JE6KGtm9e3Gmlqf8P6Lt1JNge/ycAJ0Y1KO6G0QNCtWySL+yXnzlRWJd6nDnPqhL10VY2AFAlusk/FYT72Z27gtp+n8UTt/VvEHhVPNIORY8Rrbs9zeCLTtpLD+lCPkDmgPZ4oh/V3RK7de1iW41sN5yYc+t7eGlE42E9ZMwF7cjzpnEohIt50TfHk0eGJgKubbB657u29eljXItfbTwlXH4cOZid8mQxXe+yh72GX6X0ZFVelaHRF9tAl9yPo//uQy0Xe+7QpKMAzcdcigwF4KTKPMIywbD97Llil/UfORzt0yFN8tsty0Gk6KxuoyVauY1a4jJu+i7SBXvp27YTy9keHrJnYA1RIlatpO3R96n3thHZZ4ZpTMzVisf3c0nb5ezAbDUYOlLmhb4+Skuz1VXnJWlslYODegSeJUznIFvBEiQRrdQ5+bvfhSY22NfJQ41Sn3lPY44mMq5UWkUJqVr1dE10FX7piOaJtiXjS/28reKLertljRL4/D9mUZma6bH+9cQVPKpFgZY2bvhVeckadsE7WrObLSJklxe95BS1y36BfY7N4fyJHPMTVDnui5+NOMCpOkasOA1kUNcnTok1Wq0I12xci6Q7RA2VW8dw7+Kyqs+nRzy3r+KAWnEwR5iRy3XNh5bkF69b0rUSa5rQd12HtvjMzjeeWVvo+ZkPEqqOXZXaYo8KtCn/YzDmV6T5S5nZ87y9Z2r3gAL9n8h76iJDSYH+T1akptfewduum40neQaZ9w3nxz7A/C3iirHGTzbrYjIEIKGpm/hvO8aQvCEs7yCj9nc3tzwRPqlh5Fnsq+prFPFQZewCeRNgzOauFjg8VrJT2XIInva3N8AS1MlPwRJW9G0/gexDwpL3nvJvFSV/mVjzZZUOfzmGlgKsVPBF84F/ACX4Rz7eo1BqccnqDbBa3PWsvR7kX+7fH8aFvsk8u6512adzjI4vpEGMLm1D2cYBUpG/T+TAucTuh3x4ufVlwmLPK735uoQ4dAEftpby+bW4sJflbp8P3dwJoj3Fu7W9QtjMuXy9Zru+xbrEx/A2kUJm+v3X7qFSUJsytyb7mluyNdT3a1bGDZ7/nvl4t6ApzCw4k09yos6G/hzN4MuxPNu6EJwH2ADxR1rjJRpHgIQNU2Z8FPEmxxx/AC3ii3hiXYo/HVXVuEk4dc1uWeM89PZ4E3/AZPEll0VXw4bjiYR3tueQbXp/WtT2Dog5PMuyxlw5Zq7gSrhbwpJdNcbXDkxwrT/gyXceQ3O/J8WTy04JCW0+HvR1PmnDwfN4J7rx7pRPAJrv9Hi0a5sbkvVDN9pC8GBHSUpK2j1srHssjC8dpL6+kPk5PKs836pfc9O1Pe/LcUgffp3Gp6MSJUzl8WtcJ28fNZfvvLJYdT71mfO3GdYuBvY8WqFHj9alHVqWoSX+gfUXls2iB3nXirINf6Zes4InSrq7pYGZh14kZe+7Bk0oRXZPXcep4BxmejPtT4djq+ip2wMwG/vB2sKeiE57EHGZnB9S5pRm2cW5mGif4DJ5oLSJjHVqxm0IZgHtO2EcZdQJFVvPWiLkjfgZXh6ix4MuoLSK3QOH47yPZtOuEw57ogIiuVlexJ6JOvPR9tv1ZwZN4f/5lOMFnClkUBxTLYh0mgnggOzvi2UIU+mT2xkUASuU9mM1FU3HXCdfFQTQuEnVCjfIUIkK+r2ds4GbjEn1rKifOzy2WrfUUbsZFLQjrndU7CzjOOqAKZ1WtEt8c0P1vipGtvAdhjSdZ8QBew55cX+WKUW9cSvuz4DBr1IkmmxzWHZ5kuHoaT8SDctZ1wr+HvJNEwQ4UDusVPOl5mtG4HlfNxD1XwZNsf4LIqoInmcO8ADypBAEqRcSKL1OieMnBkANT8pvzDl0qRcR3HOwnrCzhSd4VpukQPb+AE7z9/H7qXJ7v53bKWQOD4cnZSjWjYjB6fV+yCVB+d8CTObbfa66v2Ta/744/p0ZWlSjPODdN34w6sXTvIS36W5ZXQ3mJa1cw9N+dwUjn5gxG9K29ZIWopu8prDhTatTk+ylUR+9//15re069sngwcBn4Pfu5QVFiMGLZTV/bZQtzS/Bke7/Ze9j1LeDJU8CTXt983GON2/jp/uxl1QhoKWpcwxN5fxbxJA9EHLJ5TcQ5PEntgMeeYM99OzyJDsq9s2GWHOxf39n2t9QmnsSTzLH9Poknt3SdQLia7bmn7ohr2NPrIB4ynquMq73PocytjZ+useAbLECHygFRpUxFz8ed4FKqszu5VIp/2vgq1y4yGBPXTloIk2SXRUshbDrrXScGzlYW3R1kOegcstt/Kw5oH4WN9R2rjWV9kw00ctcU6oS9ZM1iYF+799D+t6AOjuphVosWZLwxBdhLUdh+z8nR0jzS1M8ti1wf3LVi+rIQsVXxpI8I5by8/OCA8CTjJQ97LnPEe+wR92eGUz2/Nc0W+f0ZYVoBTyrXu3s8UTNseXR3xJOshmPAnuRAoq+F3nWidyAy7Bk4zC9ZrANsTyZEYTM86WsMSniSYTDwObIM2xiNhqKn8SR9Dy8Mzg8Ovb5qBF+hTkxt2oLvcunmZhbv5WVZhixJ5vc8ljGbkePJX8AJ7knfeapz+6mkEGARiRqSDxbCfwy5kzZWaoaL9tBpAJUU35S+FB1b5cKO4QpX0XDmVZ3nCmSyw4DvExylZnvjknWdGIpIhEjIRJ1IvzU9atI7oJlT2R8mpaiJOK7En3vosmOKTzUYeRSt7zueRZp+Q/oqznXmiAM8UVrFtX8THQZK+7MzLiUqVgVPhCDAs8dKeX8qh3VNX+/8qQEOhTrRBziCYUc8SQ7rkA4RHJRV7Klc7474rbSA7eUgnaRiKfszwYih73iG193+VGlmynXMl/FEOCiX6hz2tc4OGYov0wctzO6lPw4HZcXe5z7w553g/kNvlY95O438pNUbztcpRzQuX0/e9qzp3FeJq+15vp5PWbZiXHLerJtbCOxnL+yozC2u6vSUAbVAJl+Lbt2+V9puh+nLuk4MsknXCdQ0P2pTZNaqgjfZrOXOuq6dbF4I+p3KznsubeXzzPdnP25WoT3M7Vt7D891TavEK3OrYc+hQ77G208FT47vocMTsY2itj93vZMIaCUK2+OJUmg7zK2wP9O5iXjSzy3FyskORPraaAcCj7mCld4OLAt3vPzczMQ9V8CTVBY4aXfb+6NDj4ARWZcg9B7YXn7MOtwxt8phYAFrocztO5uby1hFvgzk+b7Dl0k6svT7M3p+pBJvftApR6lmzE8520/lLnFvXO5PmW3/nUVjKtXR/cegOYotelRwbFch1fnizxXmlr7fAt2kk9WoE9t/Z9EYv26Vqnaz4ncpREL01FYejakVWhw6lMA6jYhvP9f1uNjynmjMbFxKkSbhoFzBk0oxoU6d2HUpVEdXjItGnVD3Z5E68QY8meYmGs6SHUgyS5MdUPEkpU44OyCum55WP4cn/MKO43uXHbpnDU9KkesUr6/hiRJ4qxT9qXhSok48lW4+x3uodp0o+TJC9qVGnaD/70MuF3nv03/oT5F4vhmM/W/JAn9LG6jJbr9rRQ6dbALAfQFHnDI7AEcycM/jw8kccaWYZtO3KyJ5xhd2LEtHfn/m1ImBP1eJiCfvYSD2J1EpVXbp1yI1cP26aY5M7bvUHWZl3HHPieBXAkqda1eaW8Fw9sUpWYP9Cp70Bvlu7FEPUH2BaVod/fqGEzx5uD2XRJhVPHk4PMn23Bk8yVtE6rzkEp6UcLWzA8+CHVAO62fsQOFbU/FkKHbLHMVnjbMq44lySN3f/Vk8UQr51KLc0++hgieZ7Jr3Vh7fwz436uAvM7VJ9WVu3Z/HO4iejzvBlYKeoUDmtYmzcU34IO2lQ9Z1wsxKlIHfHuOtX3Gxm6dDUNFddtc7M0SPMWoScwP1NkXT3MJxPXeXio5zE4C9r+bONpAawZoa96vrlo07fJcJsIPUYVa4oEQfIR+NjDtyzEyWTbl2MNIkGIHEYPyG3kOGJwr2IDxh7xfNja6xHTok7wFeanEXnpS/913vBE98VierGziDJ1oh366vErnu6wYSXG02Np2bx57SuulrodqBnC+vO6B4z+V7IyuiO4UnCs+3gicLmFuy79cinqTvAc1NwBMVexR+dgVXm37j/gxk/TecBsh22cw36PZR9PxSdAg5KtU5BRIvL/lweuOSjdv0GNNg4qKlBuMkHSIF9mL15eCs6vqmKb6el5dETc6m+OQNlJ04CweHKX2ZzM2sGZftv6UUX8WplCMLXfoyi9wIwA7nloxba7CvpzqHg0Ma5c5lIZ6w91C54a6fW/IemrxycOhlzXInrcLznbBHPHhq9ILtv0vUiWQvV/FEp5n10a5acfJb7EB6hfX2s+257DvbZIvUiUpU8yWLdTiDJxquFvCkc1Yt2XMVPBn1reCqjid6/+FK14l8jZv8gCfq/iz4MkoWSvCBPx8Jrixwb1zUzaY0rm7yvVNQInKroJoYjDGFoEQ1bZcV0g2igfPGpaKvbDCEg8MrwiJRJ3bZNTcCqoFbnL6qcVG4gZts74DGskq0AIKq4NDpXScqF3b0ew6K4ih3wVlVsjp5+lKXRYYzfw+WRprgwV7Ak+xgbwb2p3qYXHM8Ke1PmWb2rv3ZO6D8m2yya4cnJUMfRqV0Q3/aDqw5dWKTyw/r8PD7LuwR8ETlJY+4WthzAp7INDMJe5ZJNssIrtUARyVgkOLfMTcFp9o3rB7WS76MXDR/vK/o+bgTfObksnYLrFQoHpst0kPj8pgdC9wI4rFsjWt3AHDe6aDno2Wyh8HQ5tbGzQ2ceoIbe+mqc3tm7+ExGoxsLb7fou8IPFmV+Ca7vvTlXSc6WRFUB45t2nXi2HPpPnr2ey7vJJHxcdHceNeJQ1ZufyQcflHKt1LNzSupt589nijdLDTsWUYu42144o0LFZ0OtNG4o0MnzO1NeNLjVLg/HZ7Ic0sd21ogooSVHV7HXSfspatycDBr33DedaKNK0cfi3jyneEJoAFkDl2F51uJwtYitjU8+b4RT84FQ/RA4Tqsm+jLCH6P6ss8OjyJnl/GCR6MN5nYb93GVNMN38+8VUgb57kebdqUhs0KdeK3QmR1+Bi+9UbtX5mz+jg+hi+p5U4H7IG+PZenUpT2lUU3HvrcluE9PFN9V1VfZ1zi0+kx5iZLRQfj8pVG2pvByFv5oN6/WQTge7hdiYwLOatsbraPm7cn64tI0rkBZ7VkiMh7GPmJdTzJI005ngxr3GQTPFHWuOncipXWNKrZfe9rAU++dTy5dX8+9P35WxFPvkV9+yBA1k6twrn2AQ71AqAMV/uDct5easeTp6U4NTi2WcuxAp407Bj2nIInGf49+v15I568xlUwGMwtxakDIzhtq1vjBE8eHfYomaXfHrvfk6zxNvbo0yl3CLQMYml/JjglBII/7wQjQ3RHm6Ke56tyWNbV0irx9r+pn4gKfJcOrBWuXXNAt1M9FS2lG0qObT83ASh16kSvb1wlPjTPTlOzur6T0UrWzez4LlXjklEnBlB9pcyYDnbokHyXyLFNnTQlytO9B/3Cjlp7nrSAA0SaSik+ZW5itOssnqTf8DNfi2NczcANl84Ie/m1P9cKnty3Px+F/ekvfsjwZMDKtPjHXjpkB+UKnujUiU3fRhnICpDMjrR6fFjffrbvJ/5+R1kzJQVfy+qot8CVqROfwpN+bvJ7sDS669fYLApwAFwV9qfk9zTsEQ7rbX+2vaQelHPqxF+EDoGKSHKeb427m6U6N1l/IuI6t5f7MnDCAktdJ5ZaJEQniHsApqKl/sM+xSfzfLPDQMVgdLLKYUDlJffGRek6YXZ8lwp/+OUwCxHmZgQeywGITAfFAS1RBgqHVGRctLSoJbJ2zC01GIesbmR17q4Wad91GJxVKPqSH9KXwuE3W2OzY3+qNRFtfyqXzqh4UtmffVanWjyWGW/9AqBK0KJIh3h22FOxAxXsEfGkcrD//9t702BZkus87DvdbwazvNneMpjB7AtmSAjEgOAQgAgQCwlAlGwTsBkULVKUKDA8pknZJARZIZm2BUumLJoOhWVbEQyEJVCO4CJbS1ikSZGgbAsKLQwBFAABIi1KFLEQOzALMNt793b6R1VWZVZ35/m+elXdfXHzRLzofrdPZ2dWZn7n5NnSOxRtzBsQ8ISKraeVSiJ0YiSeeId1CU8WG8bm4AlTdSKfY1DtysoqgT3DcAgm2a2f462sG/ZniZerDrF3JTizmrinyOaVqW8a+TNB70waUzcQSIQLI+AW3Mkw7S/gK2mxv4AvMLK4ZFdJ4zOT48Eh9pdVxJlkjzRGyBX0ievQ3cR0aEqyLgnBCaTKKidcGNdPx0sI2b7d5m+UpdIBqU0Cg7mJyUtO2aysbmTNhYsH7KklhFWuV76laZPAcGt1ktij4Ek8pLJ4wled4JSYOJYUTya9JIesv54qtozlOs0xcBNvEoWZmbfIy1rP1YO9p+ADfeyuN2+xTRZPYhwq5d2ijADrCvOk2LPywyzy/Inmb1y1GXD9FfFEqi1PHhwyowWFq4KyOgZPiP3JeuzZPdfkGGz9uG/TZ5mX0k3MnvaOyYmI8SOMEDDjXAixzytiQcbPaBeCaZdaZMoqKVx8BTRRbKmqE6yFhU96WXNfkpuCERh9f/05jn31q07kSg8rXDzrUWotZeYNIEMn4tgUIbDyrQWpcOFL7jDVFrDWBzcumVDExySyZHjiKvj+ISP2mRYYixxPmMsRuPjhltcZG5ALF6bqRHqRDH9JDjc2gD3YcziVHpT9/Zke7Levycjbx1wTYwucHMgO1exBWcCTKBMLza7hyXRVJ9aVPxd7iP2Zjc3Dk41hZlt4R+IJX8rMxxPFct181irtc+EJpVznHiu36sSKPaxz1yYfgBKcCEPvtLfoFwOjgK4lkRQeWBc/R0xEjBf1BH3P2yuhvlLpX0vYtKtd2MFagjPeleNuSHi9/maF5d24ZP5a1mVaesgRGMusv/7YIl8MRdjKGy0hK99yPUxgK/cXXR/cObb1/m4NnVhs2nPlsWV7bks/0ng0Py55vV0mMc4TAsPnUOLN8IRUmBk8MbN1F5+HJ6TA6LGn//82Wgyxh9ifXCKLsj/5PAd1f/YHZf/g0GGPc1CW8MTG4ap/G14SikUcBgAST1IFVMATRr5E3sYQsZW133MruIrMpv3JxMIqeOK2KxzWU0zzFFApLGTDpRZusi+LJ53ek39/W9sKnmS4WuTlLcxKnkO650p0MEpws3ibv3nxaCERAkycL3ciGijBhKWSKf9hlm82r9xXVIBdXhsKDI5XivMl2u0VW6G0icurJdGNGtsqYFksZZaDqlL2rHTVdMbLWoJFK49bBmoDAHvxc6lbnSvP41k3el7FEuLF92908bkWoQRPnDJFKZ4w61KyhBDtKtgzFC7M/lTGFqtO+P1N9mfxGvZ8f3p7LjUCzIE9nNU45d3eX21sPfasgj82gMQTwWo8jLH1xtbxkmOLfWDGFlQ88ZTrTRgh4Mn2a9jTPjTvPTzhcFU42A/mrcTb9Nmo59DwCrqMpKfxRsU1XCXxpEQHoAQ3r2mJIEZZZcoJReHClEhTFkMnXCiTfHNjUiwrwrgD6bG1C8wrz6PG5aWxdkzMdWyXDZ3gyrSh5RXCQlyFuXmNc+clPwJo58MvGZXyUuWEAtwyRUMAVhLuPNcs0DyHvjzPFt7EusGXE4JbpkiJR7PB2NLfosZGuC897BnOW6m/kV8WLpQQwGg8YXiVBBmq6oRhFPZoeMIn0U2LJ8MEtq2s62Mj9ieFPTPhSbfnVs1a85KVgB5XC81moQjS2MbgyVZetLz+eh+ODfDxJCh4svJLRG58DgJWTpY3sGh1GQFP6JKzY/U0Uj8p0QEowf0EM8XiOxcfYWYfChcmNoavOjE21m4ra5J92X93O28jhLiqE0p2tJZEl8WuuZnfzftVIOYtsbDQmd+kdSPGKrGWEM81awNeb2xAv9a4uDymkkSv0PG88aBTqjrRvMbEm/T7W8dGWWPysQF+bCBzrXkqXDxg79eDFmvnhU5E/hRP/FCEkXjiZkcnuEoof5Src4irhBEAmBZPhrkAXjJhlxgn4olU0o1UxJlSmUC/P8syA93vr+bCk8DjCYurEU+8+M/YBz95rOelPUsrrZQZ2y6DJ5vifD1cPSbwJC0Ny+JJrjBvZU0O9iDb5fAk6jJssQM+Oe+EhEN0ExxIYF/Exdv8n6l9yZjklx0vMxGG4+Q0QsXGkKcyJgA/tsMoBUDzjLpKEi6wJwknREF16UrURLH1a//2/aUzvx3rURaH6giMDHgIC1bsKxOXHHmZUA+gT/bwas027foHhyGo0iEZZNUJTQH1cwFiG8crPnY33Z9b3YxZzHX7WwVLUzxUM4f1IZ64a5hUKpcDPGEOynSZtlVvuSliZbs/2dCJ4xV7WM/xRDkoe7GMmSIu4IknXzJc9XjTgz2p/LHxuIHgHYsnzMEB4PAkH5svt4D+MEnh1Mp3q2+M3SUUW/ewruDJJl6nv0HEE7bSy/EK7oUdabuMwjw0AhR1mXZ/KsUDGD1tmeBJiQ5ACe6TSFgFNLdCbG87gjV/auDiaKKy2gkB4uTCWK6Xw7ERJy067octDbYY1PMlxgZwCmgWOkEcHLr+srwCAHsKaAY8nsAYKIqsi4+tOhELtdNWE+c5DAvLe+ss8npVJ3JFPP+tMm95H22yCG1PdkPXXzY5hXF1xv6xh1QlHGLo3XKzo0kFNAoXSmAstKoTK0IpiO2oRgDAV0CHiWZ8WSXukAFwlmsap9qPgrA/43ww+zPiCYdTGp6oZc8YQ0SHq9tZB4nw5XWmYM/QaFHkTa9jJhVm5sKO4Rw3Y9jMq8Qwx7ZH6zKEl8TD1diOpMvMgCcRKz3auxIMbDLJTyUwBlYT4oGxk8ZaYdeEIbEYmADxoVWKid1lqk6kgmhSF1/C61l308XL9BdIMqkphY4PnWAEhhY6gZaXqTrR8/K1OgnL9UABZRVxNnQiFxib2x1au9J+FcdGWpgZPNnkkqSwh7TCsqETUbiweBJEPOEEhhI6McAeQnCyhogwAk/cw/rapRZbWXPsIW6k4kMnRuIJqVx3B/sCnnR7bqVUneBDJ4KCJxRv29/OELGVdXO40pa2pVswNxyUqZrCNE75eLIRVxnsYXSZhRaKxeLJmp6m6DKEfsIe1gkd+JCUYN/VCVxhsXh3gjlXZ6esUhPRu9Q93qHg9PvAW6VCQCc0mFgegAidWPRzxrj4NOU64S0qikOBUeJtXqOriImfi2uNjvOlBQbvvgwBrhAYxqMxBwcm3s+SZ0ZXqBAEBpOUoQmMXMiWeduxrTghoGHPScMTPhSrU8Q7XC3zpsp1WSD3ezMETg4ATJLXEE9IRdzFk7RMmxYyReGJsudWOp54YwNIPBnU0qXDzEQ8YXGVDTNjwh834slWnGpeGTzZZATYno+QzjGKvLHPcY4Z3gxXJ1JA17DS1TlEXYYKh+0xqkQHoQSb9ZsY2F5WBGjN7CteEB2v+uzLoqtzETMU/Zg4s+bhxjiacpmi3MrNlAqhXB7RLdBllm4f3HJhbX/bsRXLivSbnRMYPa87thUntJaJcGl4/fJkx6tmfGx5Hu9q2KFw8cYW22Vj+GIcVnFs7UfHXX993lVo1jszthjfVSozMybmcJXsDSaJxNtHy47X33OZkCWEi5lmhV2t/LHFz1I88RTQ49Dj1D7wJPKyoRMpniwLUisq7QyuDoXhvvAkPi93fw54vXmLv0/jCaHYDsOKyqFjzWvEk7LMQNuujiflEpEJVjo5J0qt4iGeeDHiQKNIeXiySbHdnmOwwQjgHexJXUbGkxWJJ5bnDXhr+HhOXaYb27R44tFBKMHD+BHGUqmI1c04AAAgAElEQVQ83DGxdl7cWBZHSFgW+ELQrKtzYLnZziqFTsQ4Qi50go+J02LthlaerawZ8DD9BdpLLRxrTCZcnP5KgiixALDWGC50IgFgxxqTxgQrrlkmAQkgQyfSWDtnH+VJJOX9mSntgiVkFJ4Qa5jiXeTKn4InShKdf2GHFmvHX9jBujqFCztsPjxhQycWyVpjryyOc6ckudIWZvc55HjiVSrqeCfEk35/ckmKAPqciOIzQ95fISQNKFh3BTwZhoWUeIfypcTbtK3jCRM6MQztVPbnVHjS6TIz4EnEiBIdhBI8jB+RTPITui+bCW7+r5T/oBYvoTAP+1t2N2iJN7kivpU1mYvm/2wdPs9lNnRflp9DcmMSCeyhExhbWdcVUFK4eKETQ/elN7aOl1RA5dAJ1mKrhk44gn74HPgY5uZvjHCZMnSi+ewK8MSZ55WAJ2EknlAHZQpPxFAsAU8y7HH2Jy/oG16m6kR2qYW73oe1f8kDoogn04VO5HjiKTyAjidKnK+CJ97BQcETCVeHijg7NgdPhvIl/a0S71x4woZOpKFYDJ4woRNDPNF0ma2soi6zg2uTzewnzOw3zezDZvZ3zOzmce3oi4G9XSR/YOUJzmPttvd3zQrr1JCN8U9Mf1nL9cKQlaKS6noWASK6s5nQibzsDxtrx8dswVVAFYHRuSQJITBMnmAVOnZsgRIYuZBlnkOz1nxLXtOuLzA6V+eKv5EqUPOWjy0dwzpv2t/mvZL57bly03JCSqydu+dmwJMY4sVZbBU84a+Yj8KFOmQsNEMEH5+tV98AQCmg3cHete62bQY+0UxV6PzDesu7gr8/rwBPqOew0vBEVUA5BZ/3xh2388YfSJr3bogXocsMa8sDnAz3qk6kvHRpxOBf2NHwKlUnBnqaossIeOKtichXoiu1BL8XwEtDCC8D8K8A/JkxjYwBYMmFQAMll0S3VnXCmeAg8WoxfErgOVd1QkhkSSy2KwIoO0uwC37Nq+zicwRGLlw4oRVP1IpCR4+NtQitfOU6G9uKDZ1oxsb0txMuwoGEDgtZeVUnNgmMze1mN0e1+OdXL9BcktKeGyEwXKtmdnCYCE+GyioxNl4R5w7r0QM0fdUJBXss56XxxKs6kSp0HJ4oCp2EJ8JhXQudAH0YoPAkKXeoh5nxMqMcOpFje/pb67yxvzyeaJUZFGMa630eeOGLvJoxbbQuo+hphC7j0RUpwSGEXwkhHLX//acA7hzTTrTCMkC5HFgLmJMAy8tbFvKTix9HyGeJs89hmCDj8q5EQU+cIpeLXqEE/E3cFZb3hMCiBykmdCK2ySTIAFroxHGngPK8zNjiumRcnUxlhizWzhMYQvzcMpkL1nLd9XdyixArMPqDQzqGTbQ0y3gVPJFijT3hQra7XEQrLFxeCU+Mv7CjufhBswhRcYSLAfY4B7nj5DkUY1ZbrKRDJ4KYCErU8Y5j6ZPdSmNrXpu5c+ThECsZPGH2XNfu1HkOOS9T1zjiCXNwOF4J86Yc7Ff+Yb3PiRiHJ0wMPOslOWbjcbvDL1ze5cJovafDE8q6y9cobzx3PJ7MHg4xoLcD+KVtH5rZY2b2fjN7/+c///nssz4xrvm/575MTy5eNmNIeL3FwFoW1hL5mFMO2d94mnZ5LR+blwHKWoL1CzsSt7OTFRytxseBy44OrXWsfHtV88pZAHreBijLFTU63uBVZhjycgC8cnglxTYdW3DGNlAquYoaaHnJsa3YqhNMeEzzqmVSp8oUr6Qx+1PBE+WgrFh5KF4BV9VQrEDjiRYOkfEWq07kljFGZjBznB6UPTzJkrEcPBliBM3r7LmhW53FE3bPMXkZQ0W8nN3P44kN8KQoXxb5vDGhHsxBR5IDA4s4oOGJV5GKtYAuFV1GwRMbgSeRt6gb9HPstbs03cLskasEm9mvmtlHNvx7a8LzowCOAPz0tnZCCO8OITwaQnj04sWLw99oF86q6/zWDrcTzMWwtPEuCgAT7doQrBn3ZRyb098Q+nhcbyOrYzti+0ta0bSwkBz82Fi7I9eqaTzv0ALAusHc/vYAfHTMjS1Q/UXbBz6JbtTYtjebxQ8feVbu4dhI16zPu97fbdaYps+DdUlcjtBdG0rtT2HP0bF2WpzvMVkqaRVA44kqXBg8GTc2rt0Q0OG1Mm+TYU9ymDwS9xxTFSZ0653fc9LYJDzhlFXfw5YrzLPgiVN6rbfg61Zj+sIOSd5zB1pe71GNdBDlPY8nHPZY/hwmwpM0F6BEZzyGEMKbSp+b2fcB+HcBfGtgbM8baAwAsy4+1qrZmdkZ870hB2tCER9T/oNxN0hxhJQQ0JIJ+Qs7mteuziHp2vJcZusKXfk0DfR9pi0hLrC37UZrNClc/KoTvCIem+ncgRNZQlKBwVed4EMnlLH1VrTCZGADnhCuOD52V3B1kniiKX8anhyvVvyFHRKucngSr2yfA0+k0IkVX14KaPobgj9vQB8vyt9sqcbWb2XtsTJaoycyRAzxhFFWVwyeROu5pICKeOJaguMz82PEbTg2Zz2kFlsfp1Q8Gbc/pQuAqINy8/+pYne7/TkCT9wKFYQW7CrBJTKzbwPwpwC8PoTwzNh2utiYtr9e/bnjxN3AxMYw7oZoZmeT6I6OV1ytzqEizmR+U0KAFy7LxSCG2VnobLb8MCyEiYXtT7JbWdfj0UgA9pS0LL7VBfZeuLCWYCUejYuFbV7j3JVccb2rU4jdXfmxdst0LoK/LwB0MVvMTXSMwDCzTunx5i32g43d7fdn//9yu9rhl8OTfH/uA0/6OMLm/64bV8ATVtD3+RMcnmRZ+F5/BaUAAO1pBJIDoiO3gB5blf1JxyWTCl08EDD9DcT+zCyrpAIa8YSJd457jpm3+HzLoRPNaxDkQFTaS/0Fcjwp9Te2ne65qXMMaIU5wQgvP0TRTxoMhtvfbn+yB+UUVwk8+bdfeBr/zc9/dHub24dB0f8C4AYA7zWzD5rZT45pZGiSZ9yX3KTpJxclJpiZiHhyoQTGYlAsnjqVcadI1oUQx0aHTpCulNi/y8ecmwiIG9lXCgDOSji0FrDCxbXuJoqi19/cIuQrBU270yZ7pIqtX3UCXR/cqhNZNrevfAKJRYgQGMxziG03c8GHTqwIPOnzBvIxbOvv6BwDby+neEIof5wCqodijYrPVgQ9wcsJ+uaVTUACepxS4kUl7GHxRLDCegnH6UHZt9jOgyeZdXflVZ1Ax+tVncgu7Aicp5HBk2Uyb7x1t8UeR7saejOK2Brl/cR4ouQ3DeW9F7aae4u2skq6jNLfOBdPPnsZ/+//9/mtfFdkCQ4hPHgl34+kJKVF4cLVnxtYFtwTEaeAajUqeYHRnXIEgcG7OjmBoYVONK9cjGTzevmYm7esXdKy4AmBHFQndPFliq0TOrEmMAq8gtVk2N95LrWYrvTQYiBcPAtLpyA5CgSQu/gmDZ1YwxOnvytOYCh4ko7N7++IMLO58cSzYNFyQJs3IMWeraxrvEw4BBc60bxyYQDN66jLgug9ty88ydtlsadRQLeyZhZb1tIe8USRGRL2eAf7hSXW6PJhXcETOVyJtDBrukwbiqXoMspBOQh40vZ3a5vFT3dEQ0ulO8H09Z4DM7vzwNKYGwaAV8REDC3MU8XyLBZ96Zimv1tZk8UAv93B2DjhwgW/A/zd52m73tiANM53O++Y+NZAKGlKrF0mBByBMbTCKtecMvMWlQgqLGQlujodITBWuHgCDuiFi9ff2Gc2dGIIwN7c0e566+ct9r/cBzE2kMYpzIcn9O1VfIykelhnrLvxJ3uc2sraGwHIZCVgJJ44cgDgyiiu77mtrJmCr+AJf0nOtHgyBnuOCTkQ43yZMLPYDzZ0IjvYE4f143TPEQflUbqMa4AU8YRUrtnQiV4OtLwMnoQTowQrZYo04dJnBW/vw3KRZ18y5T9iu6X4o2Xrkjwm2l2z8hAW8T5LvFwSKwRWAeWtUvGzKFy8sQHA5SNibIN2uZI70bLAlD1r5q68ztC16/EOhQtXRszvbypcjryxJe0erZyYuIHAYEpGdbzFGwTR9cGz8qTCxcvCB+L+9OcNSNawkyUe2+2VDS90QgsDUCpJhBRPXFcnSJzK++vNHR27OwJPuhsombExcmA4tonxpMcpglcMnXCx54rwZBrsWQ6xh8QTf2wt78rHkxSDXTwZ4DUTaxyIuYh9jnvO403xxG9X8Fh1es+q+26pvyyeKLrXMB+BwRPFC8VVvOGxZ1hbeWubxU93RGOsJmNuTmHqhbIxZqn1SHHx+VZu0SpFBp43p14Q7faJE/G726hTbKkyRa3AIBd62m45ia555UInmtfeXV9W0oAkMY6xQqx8a8yaIHLADGjmmA6dWPFxhHENF5/DUBCxz4EBdusrnFC8K9Yak1jGSAszZ40RY3dpF19vlYrfZfrr8/LXEKvYMxeeZB5BZ3+mgn4yPImY1lWxIXipsprN69GKrzpxTOyjtXAlan8KoRMRe6bCk4GCT+OqoODToROEVb7h7/HE8ywpeJKWWmVyIqIVdrkwJ3SCx5M1XcaZu7nwJKS6jIAnZWNafrDfylf8dEe0bK2aqxBgRsTGpG4wx2LBh04oLj6t/EcIfSwPdXIhFfFcYGxl3RBrt523q+JALvSG1y97NrQaM0oaW2MwbZer1ekDT5Yd7QDwMDGEA3Y/dCItxi+5Oj1FPLGE8K5OX2Ckz4ERGP16L+8LQIy1syTWjlBsAzFvXX/F6hAKnkgJYSSexHkDynjSWbCYw/rwZjcHT5TnkPaXwRM2kY/lHeIUp1zzZR9ZCxagh054631uPGFCsXorLFpllRubW8Um5SWVdgVPupC0mfCEUcTjPuKTiNvfceYu02WE/XnoeDIMh93aZvHTHdEiWQz+BOfa/XSxMXypkLWTC3PSGnFy8cu/aYuXjbkGtBJBU/Oa1IeclxIYKyYxJAdgOtlDEC6ewMjifD3lOhFEXtWJtfg5YmzHhMDILO2EwOj256pcdSL2Oe45ymLbloxiXJKMxS3rL3FYH+5PCk9arHaTU0Q8YSw36VwAnqtTyBIfYo9jhVU8gsA4jFCwh8GIMbzevAGs96V5jTJmMjzJeDk8CRSeNJ9NjSdruErMcWOpLM9b7HPcn1TsLu0J4/ob+9B7woqsvaGwU0DLvLQVVsATTU/j7zxQ8SQNh93KV/x0R5RaKr0FqSS7DR+Yb7kBpYAOlVU3Szy12DInF8mFwFulWNcsAFwSLCGRlwkvUKwmSh+4dpvXy4TlugPglS8Ehhbm6RTQRLjQijgTOhF5A1F1YjA2RrgQ/Y1tM4Iz9rkPYymyZlYTLjmFC51IvVDMYT3bnxPjCV91QnNJsmFFfNWJAfYQFnEudCLf98z+nBxP2nnSQif4/jZJadxzUGKCKTzpFHEmdCLy+v0dWmGnwhNFEY/9iOEQpbF1vCv+sN7pMg5GmIAnluCJX3UiTVL0POtxLjivqxKulOlpe9Flcqzcylf8dEeUuRucCV4uBhnEzkZOKyh4bjBWYMSTC2eNGbj4hAku93cQG+i41zILCwHA1KUWQ17GwkzMW/zNI6JMUWcRYjbQgh9bFhPsAGVuNWFDJ5hLLZrXzrJQWg+pMCQtIV12dFF498LFs1zHPnfZ0QRvtGC5rsOFUc8ByC0LXJki35Xc8PKHdQVPFiKeKAflVYI9TJ4D5eoc9NcTnFkcISUM+98p8QLcvo/rewyeTGfdHfZ3K2tvLSXwehheoOAJF17A5zn0+3Mra6bYsqETvQI6zdhi20o4RGe5djGi95L4vJwcGPaXOdgz1UKANG+g/51yu4Ius+IO60sb6DIKnnhKe8K7la/46Y6oL6xczk4EkpNLYLM6eZP8ip5g/eRC3cRkebyLl+GfuS+dsfH9bT6TYncpC0vzevnIzxLvhQtTdcKydjm3KJMl3rz2SSQkr7Muh5YQNvObKeXT8EYA9vvbW02YsbX9LUk45NY8ZX967aaWBUa4MNaupg/j8MTjteQ5eNYYte54dmHH5NjDHZRTAeeFTsS58Ps73J8T4ckib5fZc0y7a94tquoEjz1dH4pyoHkdgyfM2BiFLi4VBU+6RD52bC6uJmMjlb/eEuzxpnhSVpnS/cniiTdvKS+Dq2m4EoN/6f4ssXdjG4EnDK8UiiXoaZF3K1/x0x1RX3pjRYZD+GVQgN4Sorj4WMsCHxszKG3iLYYVd2uTDcbGuOC5Uj6geeNYKDfjgJdxgzG8S6UP7Uc971bWrh0m6W9syMCRZ91IrDxeGbFUuBw51pjUGk1niQe/Zmns8yo01jGunm87NsJqHELgyp5ZajUpsmZgreAJl7vgz1vTX/3CDqac0HKIPc5aUyzMgcTVzmMl5A0we3m476fCEwXTljbk3cq6PrbS/hz2l/DcNVZ8Tg4w63IdT/y5YPAkte7S1SwIPEkvIWL2XCfv6TKK/thin1ldZpngCRs6oeAJg1NxbFFh9osSKHgSKI9KvFWXxZO0lK1iBNjKV/54NyRZeSw5nZKCk70xLisVQi0GMnRixbv4pNCJFWfl7i22I1x8BABPHzqB0byMEGB4x4wtKhFMf5mqE6klxHd19sLQU+iy/rqhE80r617r9hwbOkG6A5VYOyV2t9+fGp6wRfOZLHEFT3qcav7vW2w1CzMbOsHG7qbzFv+/lXfB77m1/bkXPFF4h2ObCnsw4C093+aVufghxRP1BjYqFEvAnpWAJ8yFHbHPbChWuj+p0AkSTyzuI1JpH4MnU+ZE9HjS/F+xwkphoBPiSRq2tZWv+OmOKDWzM7E8kZfKEmeFd3Iiir+zjeJioOLnBldCM9mMjIDrTqfMIhOsmh0AE5br2M6YsmdFa4FguV4M+islvTAHB8aCn2RzrwJnuVZi7SjlOrGEeAIjEy4OqJqZtD8zgcHuT1K4sC6+KFy42F3Mgie59YgTLqtAlIhcDMsUlfo7CJ2gDvY+73JoNfYU8QDysD4eT4oXIc2EJ72yynvCKDwZjo2wwipjY/BkmeCJX3UCLS8fuxtvEWTikpkr25u2hf0p4UnvgmfyBjqsJPob9+eUeLJI8IQeG+E1W8tDKjQ9SpehPWE8nqS82+hM8dMdUTyVeVntGW/wMzVTKyyzcEIau+ZsZDUcgqs6MSgV4lhCUkHEhUMoLkkmlqd5vSwJON4Ke7l7Dj4AXxasPGP6KyXpELzNBRjec2hemaSMVLiwWeLM5R6Rv7dYFFl7S4hzGAByKyyVlKb0d+Wv3463s4wVWTMrLOu+5KpOJK5kgRfw1xqLJ6llDCC8W7TlunnlLrVoXufan2PwhFHouP7m7TIHWg6vB2Mj+stVnWheGcUrCwejD/Z8KNYxUdIy8rPyPj0os1ZY/rDuX9jR9zfAwOkyEU987OFK0DV9ULCnlwML77AesYc4rK/pMs66pEtEWh7iupWv+OmOqCuAzJrk40mWtPJIrlliIiQr7GCCKV5yggHe1QlwFpbOsnDExTADiSWEAnbBCku0O7SEMHFjR8pzUMoqdUkvW1k3FKHfzptaQlZ0vJ/v6lQKy8e2tXAlv+oEoO7PxMXn8KaWBVpZZZ7DIk0UKrLmrlnWysNYmhQ8WSh40hoByP3Jhk5o3iJ+fyp4EpsZgydMXHKHlZQhgsfVUWOjQtL4PAcmdKLDk5W/59YszIoi7uBJWhqMqwrDhRdkeCLsT6YPrC6T4SqBJ8y8AdEiruVY8YYIskTkAE+YPAe2pjBjCT4MJdh64cLcnBLDCyR3K3OKJNtVisXHkwsba6ckyABieTIlHo0KnUDWLuXiG1VYfiuryIsBrzA2wsLCuTp74UInhqw0q4nXbipcmD3XrWFCYEThIodDkAA8deZ3ZwkhFdAOewilnY+jTlyzjJVnxd6umeOJt4ZXUugEmefQHTz1PTdXnoNnEc/7QPBSoRN5f/eR5zBmbAyepGEWbCWJYwJPzKytzDAivnVCeZ9hD2mF5fIcel2GDjMjQicURTwNxWKt51xcslJLnM9z0BJ484vKtvIVP90RpcLFc18qsTzpYvDcDf3JhVlkfKmQNFPd4003G8BZIbps41KpmWixoOJmm1fGFTfsA1V6aOXzro2tILXifunH5pcpkormx/465eqA/pkxY+vdw35/+9N3gXd4y5Rz0OmEC7PnEkslF17AKqDRssDtOV5h5uMIU8sCPbZVubRTx6u6Zld++MbS+kOG0l/ALyOWHeyZq0up0Inmdcy+nwtPzjDlyQg86cbGYOUYPJn5mTF4EkMninM8uI6Z6YMs7xXskSy2yv70SzmO3Z9Mu6uVmBNB6jIrsr+NhRna2IIfOhFzDBi9pxtbgMs7rM29jQ4qJpgxyVvCS2VfrlTBuSIzQMmyZwullFmzwBSriXRT2ohautO5+AZ9ICyVlwUXH9PumpuR4R3j6mTGxoROrCm223nXLMysJUQQGFTZM2sEJ1PKp9+fK8lqXFJiIm+HJ4yFZcWWKQKNPb1w4fAkPgfF3cpYY2J/AR9P6As7rC3bNyJUSAkDUPCE2nMEnqzVHZ8KTxaD56BgD2W04K3RDPashU4Q88aEDGQHewpPTMKTfn8WWWV5z18AxONJ3J9Aee0AvfJ3JOIJne9BWqNZPS1eVEbLgcCWPeNLRA7X8Fa+4qc7ouYh8GXPWDeu6h5hT4YL42KagNyFAHChCEyA+BgXn5Q8NsZ9WRREeR+ksVGCaEzoxLTPQYofFp4Dk7iwbjUm1zB7mCRjd834WLse0Mpz3PFG1yw5NtXFxyXPKqET0+NJd2sdJVx6AWfmJ7LwoRODfaTgCcE7Bk84YajjCYer03rYTHhmw3JqTE4El/SnYyWDJz0vmwOkuOBNC50Q8USV98r+VPCEMUTQHrZFMm/s2MiQNEUOhCR3odR0L7ea/yt4spWv+OmOKAZysxasQC7IzszOTMQiieXxTpGLXnjTCT3BB7Qu0YK6oAGjeSlgJ0qZrfMWxibwSu3Gyz2oC0YGvIzAIJ7vciBcpLGV2o2CiDoUNa9NrB2pVCrxuKRHJbrt1P3pJZpFAGaqTvT7U0i4U/ur4ImXRLfgDwOW9tfhTd2XLq8ppYea1zF44mWJp7yHgCdl627LSyigw7GV5nlNDkyMJ1JYHHMxQmK8WTn7M4Zi8R7aEfKe2BvRY+X1F9D2p4on7P5M8cTDyhi+Fqs4UP0lx6biCXvI6GPEndCJ5OAAcHhy6SRYgvP4Eebkwgm4TnASMSzx5KJsTK6sEjLhoiSPcW5G3sKstNvzMleBEpaFthkl0awbm2AJkZ6ZYAmZznINur825CWeQ580upW162Ozhhnw6y2rnBVC3J+Cp4apOtGNjbHCJpYQ7jloVlhWEQ/kYSDFE3oulHkjDutXhCeMFfaI2HNXgCflg/K8YxvTLhcWMq18sSFWUkl0nGs/k/fMuqRDEfjY3Xx/Flm1/ZlUkFH6S3u1KVxVFNBel2HjhyU5QB1I+INDdw07sdaGnpqtfMVPd0SKcMliWIRTJHuFoVIGij8R8RMMaPG41KUWi7xdzrrBWECR9YFTxAkrxIIf2zDuh3oOlJUbg/4SvIyFZTFijomxxd9lQxxS4cJaFhQAZsOVAikwNG+RqlzzLj72sL4UsEcRGAqedGMj5y0KFzMNT7hDH2+FVa4qH4MnUk4Ewytc2CHhiZC7IF2EJJSIZC7sULAy8tMHxMxbNOH+TKyw0v6k9AilypRSIpI/OPBVJ2KsMWtpF+TAigxbXfByQNn3y8FBeWubxU93RDHZjXJ1mibo+0s4yFMOORHHK+4EF4ULl0zTfH5JiMNSYu0uCVZNJiZuPS5vO+/a2KgTHP8cuHaRtcsooJcI3qHbhRmbMscMb+RnQidiP2IiFLOGacvCQrEA9CVsKJdZ4BI4TNifKp4oibasAhrxhCtXF0NTfAt+es0pozADzd5gngNAruHFYB8x1kcBew4BT5h9b4N2OTwhcHVxBWNT5AshM5g5BvrLVqhQBOnQN2J/kgooU9INSLHS359Nf/mQAaas5rC/zL5PQxFKpF4+NsqoSPACzVoz8/McgD6kZytf8dMdUWc1Wa2I0hv8A4snF66SRCNcjojQiXhyYUuFAM1pxO9v89pXGSj3IeWlXFtKGR0pycsvubOU2sXoPpTGtvYcmLJyRFmlLoaPCE1RxrZc64O/hllebQ3rJceOV2QZsRCovRGFyxHh6uzxRMkSF/GEFN4U7yIZG9Eui5XdNadElniKPYxiEnkBzSWpYE9xzw37UCw5hpy3tOcUnBrse66MooAnBK5eCZ5MhavrWOnvz2idm1TeJ3uOi93l8CTjpbGS2Z9qnXQFT8boMl7VnaSiBo09048NaNYaIw+BE2IJVuJ8lYQe6c5v690uU7pH4sdHx1y5kpS3dMqRwgvGuPiE0mujeAllVXIHCmWVxrlxt7Jq4RDCvCnuy9gPNnQiEy6s50OI3eX3Mp/IQmcbiwAcrcaS+5Ky2LL1zBP3JcHblLZjrTF6KBZjMIi8ZhqeSHtuMl4eT0bhKhMy0LlmmWTCnHeqUmYKrtqgD8y6HINT9BoWQ7H89Q7hAiDtwg4WT9T9eUzjSZqzxOsyvFV+pnkj5QvQrB9mnUXeIl/x0x1RJ1xWZXAA2lPOCmToBO9CWC4UxTbNvuROLpeOOXcDAFwmY41ju+n/N/J2Gc9CyADhVl93dW7vbzq2tE+b+zsYW7EPeX8ZSwjnDsz7y7gvlbJnzFw0/NzYYlvMeoj9UEInVm2ime8OFBTQhW6FVeN8mf3ZuO245xBIBX8snjAVH/qciCKr6JpNsMddZ+h5SUE0Zn8qeOJd7pG2S3lqiP72VlhibMK+V7BHCduS5kKQL/F3WZxaJDjF7M/jFbjQiQV/m+xYPOFimLlQD2V/LoWxqQaOvqRbkTU3FBK6TBwbI7cALRSLwilS9zoIJXhM/AibJR6tJvvMvjePppIAACAASURBVARYSzA6XqbqROQFROvuTFZYRmCMsQhJyWOTWYTyPihjUyxYzLocw8tYFpj+Nr+rVZ1orgnnFC/2itE0zpfZn8f0/uwtzEzoxDF7WE/wRMkxYL1bbAwzgNZ96fW3eW0sLA7vot9HbOjE9FZY5LwT7bkrSlydaGxXhD2KVX4i3sjPY4+WRHdMJP3FPnT7k1T+mP2p4km/P4usuS5D4gmds0Rarrs4XzY5T4m5XpElIjO9R9CniHnreEtrvdy93VB6clEWL3WCayeCiR/hQyeaV/ZWmMg7bXKK0e2uWSoZa0G0ABCxdt2NVKV2F3kfODfjtNYYG/RXSxBkeHn3JZNMGPmZ5EegFS6E9aj5nBtbbGtcuFKRVVbolHAl3mqix+Xxmd/8hR2d+5J4DsqFHYCGJ5ePA844E2dCuzbYn1S4kmABHYUnCv4ReDLmsgwFe7jqEHxyMncJB/J2iXlm5AvQjJ3HKZOwMhrTaHmvHJTJPSdd2CHhlHBhx0oLM1OrZEh6GrEeAK54QIonrJ522QmdOAglOC2ATFtCyImI7kulHiEbinBZiPP1JgJIFUX/RJQCMO1CEJInlEoH3DWnA14CgDWlUu+vlCBTaLdLOKFCJ5C1y8SjMc+h4TVqbPFzllcKnVgk+9N1g2nXPHeKLbE/ewuL3+7xigydsP6WKUZZVfBEjWFmQycAMtkt2ffswZ7Bv7QPClam3/XaTfu/idb23ER4Mtz3SqIZ1e7EuLpW/tIJN2kU2+nxZGka9jDPoeFV6u62+5MJnRCNABFPOMsqVxrMOjzxZcbS+HKSWXIeoZ/QBwdBDmS6zBx4siofig5CCbZEuLDZl6sVk9WZlkEp96E/uRAbs3OZMSfO5pXJZuzdAnzVCWUx9IXlGV7ebcdlfiPrg5JJzVzYIV2WIbkO/SzmzmoSn0NhbFG49O16GbkG5uKSyCsptmSGdioMpf1JWkJWdKJFG2PGFMInXXzRCssU2E8tQvTYSDyJccmSu5XEHg5PIi8TOtHvDQV72HAwRlFMxwZMV3ViDU8InNJCEQSPFYM9A8VWGttMeMIYsviKN9xziH04FmKY6f2Z6CeUFVbAk2hZ5fGE5WXxhA/tNKm/zevxjLoMjSdHZSPAQSjBmUmesG6sAhmKEHmZBxYFEVH+I1X+mAsMGl7FfamciJQwC6bqRPPK3MSUBrQDmsWCs4QISSSMIBpcc1oUssNyddTYOBdfbgkpsg4EEcPLCiLeGr1M2mWT6Ni62KtVk13P7c+2PA9jhQ0Bx8SeSy0hnIuPLXcYnwOHJ2wps8x1KOx7PtZuWk9YZuUhnm/D61/YoVhArwhPirzg212zwgpjK1nE1zB4K+sGrNzOG9segydUsi+JJ6mFmQud4L1m3f5krLCCZZXVZaKn+ojGKRYreTyJY2O88GnpSUWXYeRLw6sdlKcKGT0QJbgP5Fbcl8wEdxcCEBsTaJVrwczOAzufGHeZdI/Edp1ms3bp/jIuvsQ1AZDChYrHRdZuOUscg/5u5x1jCR7l6iTWDxM6AbTCRYrz5ZNIlGxuRcCxoRNxf3KJLEoh/CTWjlRsqbi8hXJhR7SasAcH3t0K6HiiZF3T7ktS0Hd9UA7rU+LUFeAJd1nQTHhCxTCPUNoV7FEU0FnwhG83w0rKozLHhR3j8IRVxJn+9ldCc/Om4OoxjVPNK7PvFV3GZsCTw1CCF1r8CCswYmwMGxsIREtIub/dycUxszftImmXnLSjqd0CaX+LrL3V5CiCX6lddH1Iv7uRN1pCjpQscaKUz1p/fYEhWbmpdptXFtjNkufAWEJI3tQlSVlYjnxLU+wv6+pcpP319ufCtKoTAVTViWg1OSaqwpiBrjqxMOXq5v7aUAZPmli7stLVtNu8Hh0LCiiDJwuBN2u33N90f7qH9eSaU6YcVmwXmA9Pih4rwWK7EPBkiD1K6ESZ1yTsUUIcFDxZLnicGo2VxN44Iiz4sd1ufxLKX3dbJXUA1/CEqTrR44mPqx1WErjaedgYQ+EIPGE9bLFdv5wuunZPTDgEe8WoYpKnT2WJIkPH2hGlh1JrAe2SXDHJKckphxQYrOun70P5WsKhJYRSQFeCwBAszNxFFcjbZYQL0e4wzpcqJ0Q8hyEv52bk3IFmENrVXJLK2Lp4NAGAmbH1Lr4yb1RsuaoT/GG96a9SVkm71EKKnxPwhMEIBU8WyT6Sxib0t+kTjycKTklxvsRBmcKTRc7L9JdPHpsHTxYCnqQWZq6euY49zJ5TsHJFHtb7Ow/muNRCSPKn8QR0fy3pr7I/WS88VTwgxRNFRzp4S7CgrMYYPrb8B70g4wlDcfEx8XNJu6xwYWJj0gswlP4qZZW8pK3OYiGFDBDWmEG7XOgEUVZpMezvVtb1/jKKIum2a+Lc2Hb5+LnFgg+zaBRbrvTQcqG4Ork5BgYl3SZVQPmrQJcp9ih44u5l/sIOS/rLWLkBMcRBirXTSjkyrlm23XTfK31Q2gXYg7K/LuPjVy7s0OKSBcs1ETrRtD0PnpiAJxJWGh+XrGBPFpI24WG9i5slDW+0V1vQe8x6LxQjB2TsmRhPMkwT8GSqHKsDUYLRlv1hNlviviRPLmySDqBdasFZd9G1O2ViHFsIWm035WUuBIh9aP5f4kXXLuC5L5G1y7g6tYoPeogD46ZmXJ1Nn/n44TSTmnPx6ZYQ5vTNFs1X+6u4L/vwAr+/x6wQ6JJIuLEp10dH4TLt/mxeqQt1Fn27vLI6I54IGOw0m3vuiP0W2wVEPGEO1cQaXrfYbu/vusfK51UuydEqPuwbT5Qws5Fjm7C/EU/YCztGXZIjGAyYeevzsYqsot6TYAQxb8AIXUYxVh66EhxdCEcrpozYOOGiFFamrcZE2bMUVBXeuQQRW9pEES5c1QlBWV0MeIkLO5QybUo5IYYX0Mr+LCSw5p7DkFfpg1fKRxsbr+BLY2uFy9GKLyd0RIVO9FVhaOwhLSF8vF/zyu3PdC+zl1po7U4aiiWNLeGlL+zQ8M+M9Szp4VVlPFF4h1i5nVfB1diPeXh5PFnsACuZw++osVHKKqfLpB4gZmx8PkKLlaRXpy97Nh2ezKfLQOb1QrEOQgluEmS4RJZOuFChE82rkpSm1r7krRvM5QFJH4jTKd/fntcHB76/C6G/y6Td9P9efwEnOWXQLncVKO++PCJdfEvrL5Rg5oNOODE+gWOR8FLxczQvNxdAnvTCuMH4G6kaqwnAWGN6l6RSYJ/BE6XqxDGJU9meo60m0+JJhpUCnjBhIWx/TcDVdN/TORET41T3fIVKEhT2DHg5S+W8eDIp9iwUXmFsAvZkYyP2p5Lv0SXwKnhCtMviiRYy2sb5kjkRALk/R+onyv7kveWh7KUutrIjioKISWRZmtHuhr6cBn8auSSV52Hq+SJpt8jan3JW2g1PrCBSngM3tr4PbFb75S7JodBuMhfp72yidI7T727uA99u7ONlOimDt0I0MbZs6ETPy4A1PbYF6HaXSbsMUF4mkpUAzX25TJ8DMRds7G6HJ1R2tNGhE5nHako8aT/W8cTjtYR3/3hCu2ZXfuhEiid8+ctpQ7GWC77dNawkYvYvsRbQA8CThfEYvFTxREj2HSMHfDzRkv6U0IlYHYKRGUroBNDuT28fdXlIxP5M1rt0WyVrYZbxpLDfiq3siHrhQgZ9dxPstwuwVk2M4lWsxsrJZdqx8Sc4ycoj8eanMiZ0grEWDK3GjKtzlCVkQsuCSVYI7jk0n4sVKsjnkPe3yJrzKv2deGxKtYW+TmaRtcMetuoEMAP2KBbQsdjjKteHhSfa2Dzevg+AhicKTnG5C9Pjic2458bhapF1PJ4Qe26M10yTA0XWXpehq9iQVxZbf7PltHrP/HiiYISCPcW9We7ebihecyqZ5KVYO2IionCRSm8I7kupVIiwGIQyRertcrT7kjjtmdQHdO0CnMBgsoIXSX8B0qpJAqVZ2t8ia2s1FqpOKABMlylSboHjyjVFXiVLnC9ppNxe1YROBNK6K4VO0DWFm1cVT+gkEgJP0j3HY48SlzdPJYk58UTpL33IGIFTVNUJRfljLaCLefBkIeCJJe1OjSdzYw8j73n5ouGJFDrBthsttkICm4Ynh7E/D94SrMXaNa/UdXzpBNNB30I5tYkFRtpfpZTZHJnfl46URBZxbIJSkP6O1y7guS/7/nq8AKTkieXCcImsDpEmWriuTktDBsq8eZkip7+mue34doWawukzI9Yw29/lop9jZg0fs6ETi74GKB0yIFh358QTZt6AZt9PeVDOkl4mFJxj8cRpNn9mpAJxibqwA127Pq+1yt+Iw/qEeKIdwBWs5IwWfR+EMDMimRAYYCV1cFCS84T8CSHPgb5dc6GHQ3D7vnlV8ETenxPiSfzY02UOQgnOwiHcLPFWuxcyFI+UGDMl63CmKg7c2Pr+ssoq1d+uULtSf5jPPmfGNnxm5dAJdO0CfvywpWBNZDHHdpk+R0Dzsmzzdj2wTsfmtatlPB8Jz0HJju7GxjzfFa+s8uWa+j4wwqXPjvbHFt2Xe9ufs+FJy0uVa+r7exLGluGUW3VC6W/LuwpE1Ym+v4C2hqVKL4Tyx+JJhpUKngj9lZ4DUcVGKXumKLazj43Ycyz2xI+VyjScZz3Vp4T96c5b8zofVp6AG+OyON9JTw3oeJWTi2SSFxRFVrgw7obspEVbTaaNtVOsMdnYSEVcrQWY9mlrnwWLouriY627i8wS4vAKFovcEsKPTbGEKO5Ljpe17mpuXIW3C52gAZivzDA1nijtKniSjY2YC7a/qUVcslwLVmMFTxSrlKS00/Omr2FmXdLYk+zPfeGJVEt8oeIJWc1n7NiIQzXbrqVYSeBJlxin4AmtrCoecD62ntJlBD1CGVv83AtJOwglWDuNNK+XlVg76RpiJs436YOiiAv91RZkkTV/DsrzFYQsLTDEuB8lq735v8+v3GimVCTQbivSs7m9Z5HF+RJrWMnmHjO2KQW9Zc9hpnlT9ueEeJLuOSkWdko8GcmrVIWZMs53TOWfpl2vv6nMIHmpkDR07QKMoiis4YVwoBXwRIuFPRA8UXCVxp755QCVTCjcCghweo8JvIpuMFbe+1Unkv4qRoBDtwSnD59VVkPgNhvLm/4sC5Sc9SgZG8mrjA3gx9a0W2TthEuTVFTmHT1vJC/Ab/jY31LoBJDPM9PnENr3wjyztRkBbu5YXmVNZGMT5oOxunX9FeaCCVdi2x07b+wBcWo8sWzfl3nH4glrLWX2p0nPId33RdaDwxNpjgnrZ7qX2RJ7ALeXu34Qa1jBHr7dmfAkfQ7E3I0a21x4MmF/c2wvso7CE07nmAdPNF1mHJ4cvCU4HbiyeNmEE0DbmKyZHSAmInnCjOtnU382kUmbjRcCSwlQhWcmAJ8yx1G4MH0ArmCeBV5pfN58LPi5k+ZZGFsGUhMKuOXYNUy4OvvfKPNKB4eReMKGKwEaRjAJgnS7I5Tr4fuNfTgAPEk/VmTGlPjQ9MNo3qW01pL3yvj2hCdLoV1J3o9cw8zdBCzvXHhiM+HJIcgBRZeZA08OQglWTpyjlQJFiZkSdHYgBKZU0KSTbCpkvYUuCe9xwsXr77A939KdfE+xas60kSWl0rUWJN8TrI/SGt7T/pQsWDvAE8USMqWgt5nmTROcgoBLjQBTWvJm6m/OW2RtfjsqwQROqVbY4W8wvFPiiWapTHnnWWvKGlbknM970vBkc3828840F2Pl4UR4chBK8GjgESaYzeYGeJM8sD8Li+oC63gFBYLJ7t/0Gx7vlBso/W1GYY7NLYwJnVCEwLh5nmvu5hP2Qn9dBTThnWlsfkWNcXgybbjSWMFZZB2PJ+6+799POW/5cyiy5la0SZXE/v2Ucwwk2ENI3fmwtX8/19xNiyfjlNXZ5P2k1ujk/aTYw6932wGesKETwLT7Mx3bCSiR1r9nS2QwvIoLYaySpiiK046tfz/pJh55kvXLgvXvpxcuRvPGPnv9HfZDGd8hALC21pyxpcJFWO9zjW3K+DkNe3YwNglPpluTmnI017ztYGyzzTGDJzr2LBflEpEpb+Rn+gBoa03Zc9PiSdruvuQ934exeKKMTVqX0hzvf95mO5AU9tCBKMH84p3LxTfWWiCFTswlXGayGk97kp1noaf9UHj3a40Zt9YUy6p2Ui+ySlYebQ3376flHddfCXtmwpNpsWcHuKpYeSQ8KbLONjblgNr0I/K6rD32+M124+NCJ/i1ZspaGx1TXmQdvT/nOyhPhyej1+VMMnxa7Dlp85byFviKreyIcoFR5lVieZQYs6UC1gth0jLeIqsUuyvxCotMSVpQxibHz7VMVJyvIDBiu1yYReyDHzqhJDmMnedplZORa0LYR+5zkFxm8wgMKYkkU9KmxJ558GQ09kw4bxKejD5IFllHj21yPIm8jHId8Y+Q0HPhiRSrORNOKcmz2f4UMHjSdSnhiTJvm/uzmXcmPDGedzY8mWHeDkQJ7t9P6+rkH9hYV8p8sbtFVtF9ubk/m3nHPYcpLZopv5QYR/CawBsFkNJfhl/hnS/WLunDTNaCQ4itnxRPMgAu84518c2VE6HtzyKrXBqs+w1BIE8aey7x8v0FRDyJh3UF/6jDOoR2+WesyYL+/aR4InkSRu65CdeEpp8ovIeAJ2PlfZFV1GWm19MOQwkWTrLjXbNOH2ZS6NKP9+a+lE7p/fvZstoJYFfifGNzcwkMpr+KpVtT/vr3+xL2Y0Mnpq060b+fLWRAwpO5BMaUz2EmPNnBvO3PRZ30YXI8We/Pdt4RyrWAq8D+1tpceLITXJ3SECEc+g5jbMn7CeXLbGuSPEAdhBK8i9iYkxDfqgDw6LFN+nz5ecvGJgkMl1VzMwoCQ7HcdBYhI0Insrnj+gDM6U6eB6SmjJefK9Rj9Nj2hCca9vTvJz04jIw931eeQ/4ciqxZ3fGpFVDNEqxgT/sdIS55+L7UB6Yf8+GJoFSOxFVFWZ1N3s+EJ7PpMoq8n8toMdGaPAgleGzhcyWeSMr8nvK0J0zw6PhPCcwcXmnDb/7eZl4bZYVleON8KclunIDL2y/2QQqd4NdaHu9Xbldyg83kHZBiDkcKl/nCIXg80RLjiqyiNXrz9zbR2FriWpWMIqsUr6rgyVxucqB/bkyy21LAk/6gTGBExBNFuaZwKvaBOayPwxMp/2ZCq2a+hvnSiPMp4jPhiXK5x4TWaGlsinxZCGMTeNm1c0VKsJn9eTP7sJl90Mx+xcxeNKadtH8eAI8WnMJimLL8x3jhojwHfsNPWcpMOWSk/dAEkb9E4zxTpYdaFqm/nhYDbWxjLQve+FJQmLJs1FzJeYrVRDvQbv7exnZnGls2xw5az4YnI8emHTLKYzNlbGONFoqyIeEUgz3NK4MncRl48iXvA6/YKh4rBSsb/ulk4lxzNzYUSxqbM3dzreF8L0+356SxzaTLjMeTaQ46V2oJ/okQwstCCC8H8AsA/usxjcyXTNO/n9SNK5x657JK5a6UIut4V8qELsmUn4tdi+26rFrohGKNkfrL86b9nSt04iBCeiZc79L+3IWLb0JFfHw85Ux4IuFqkXU0nkyZpKPMW8pP6Kp9FYeJ8WRMKJYUZqaWiJxN6ZkOezSMUHiFNbyYZ13uBE8mxdX+/aHjyRUpwSGEp5L/Xg8gjGlHcfGNVei0jVlklRakCf0dm9W5r9AJZd5Sfq4ywzwCY1ysnSJc5ukvoLrMhHU5k8CYtJauZD3f/L3NfVB4Z8KTzD1c5lUE527wZEpcHadAMLja7eU94okSiqX1F3IfpsfV9e9to7H7c7ZSZjMdJueL3S2yDkKFHN6xY9vTgXYOPDlTbsYnM/sxAH8EwJMA3ljgewzAYwBw9913Z5/NBsBCAocywfNVnRj3HKZckKqQNQNCmA+AJQVUUMT3KzAsey3z9u+nPX2PVeimVCpT3iKr6PmYSxHf/L3N7fK8h3FJzjihNak1emycL7k/j0PQrKXC/lQU20PAk6n7u4s1PGUCuIInh3apxZSW6/nGNhf2JO8n0mVcS7CZ/aqZfWTDv7cCQAjhR0MIdwH4aQB/fFs7IYR3hxAeDSE8evHixeyzLHliTxMhJZEIk6YkhmjFyTf/hsvrPF9lLtL2KN5o3Z1aARXa7fvrskr9Xc7U3/gczPzQCSWJTkmeGJ3k4CqVI/fcXM9hTy7fQ8ATKVlJ4hXmbeQcH8L+ZEInuqQ0pb+K12xiy3XfX5d1MHdcu0w/TjKeTLmGTxz27ABPptJlXEtwCOFNHk9LPw3gFwH8WZK/I8X6qFma5tlA2km2fy+5+CY87c21gXr+QMXuxqYPIbxg6vi5MWObOvN7tFVzwrCX3bjVZ9pzM3lf5sOTIutuLsmZjbfIKskBQN2fc+FJ5HVZk3AIn1ezXOt4wh0c+r54h3UNT9Lf2Ne67N9PmRNxEJdaCKET2dhmwpN9hKRdaXWIFyf/fSuA3xzTTtpZJetw2gzF/v1cC92tOrE4Wc8BSLOjiWzjllmpzMDxNq9S0svUVSdGjI2qOiGUXhu9LqXqItOtn4PYc3Nhj+Ta53kz96VbdeJk4Uk+x16WON/fph/z4Mlc2LMYgz0T44k2Nr2/Df+U67J/P9eem2sf+bpB/37K55CHsewfT+ab4+1ju9KY4L9oZg8DWAH4GIAfGNOIdBIYGZcnLYaZrDzTnnr793MpEPuM3dUEUatUKtaNqatOdJYQYWwEr5b5bV3701adSHmn2xvz3VIm7LkDwJPZ4ikza//+FYgpk15iP1ZB23Nz3cA2dehEhydzeZYExVZL+nNZZ5Nzyt7YyYUdk/IeAJ5IFtvk/UHM8Xa+K1KCQwjfcSXfj6QVzxYmeMFP2tjYGC3WuMg6vsi10F82dvd4xSWRdHGzBLD3MbY+r1R6KPJK/RV4FQEnCQyiD4JAVuIIx661KQWGsi6zPefybv7eJjo9eFLm1Q4OI+dNeQ7k/lwdc6FYUrWZEXii5E9IMcyTXwA0V3/z7xR5FVwV1tpYmTglnoyOd1ZwVZH3U+KJVHVipC6zhzk+iBvj8viRMq8WNzbulDNlpqZJvDsYm2KxpawFCu9cSmXzKtXoFforxdpNbrluXymBkbdfosOoSNC/nzIXYHxpsCLrCccTRSAXWUfP8ZTWI+Cw8EQJh1D25/R5A80rp4Dm7TN9kOZNaBfYH54oB8RDkOHZc5gUe3aAq3uY44NQgkeb5IUJloK+BSE77Wlv8/em5JXcYDMBsOS+nFgBHXOphXRw8FnFuLwRYxPaNZsvdGLausZzCYxxeCI9hynxZBcKqISr0x0G9FCs9d+YhneEcj15u+2roqzuEU/mu7Bj8/vNvPOstZ2ETighaXPh6pTYM7ac5B7w5ECU4P79XPFoysKZtoB3wjuXxW3CE1zD07arWE0mt8ZEXpe1t9hOLVxmsjT1/XVZRWt08yop+Ko1xluXmbuq3O58lzn076flHbnnplRAZ6qlO1ZwSpbrE4InmlUTNO+ow6+kXLusCZ74vEroxBg8kXJOjKk6wWPPaHk/F55MqKxme25SBbR/P1tN4Qnx5MRaghVX56QK6Mi45IO4llA4UUtCQAGpiYHduv4qAOyyjgRgQbGdXAg0r5PHBi4UQT92Xc4jXOZyXyoK3bQuyXECY8qD/fh5K7JKAi7lnzq+VbNqNq/7xJP5wgua17kMHNK8zWRhBuYzTkl7TsETpb9T4kny+VyJcVPqMjmeCLyHrgSfu/7q7r1XIuP82Z7Xe7jnr38BzZv2weU9y/f3pmuvonnPXtPnKXp9uHq56NpjSu6ca58Fx9uMjym50/ESIBV5GUA7P6K/U48trjVmbOeVdlteRgjEtWbgn+/R8YrmvXTk855P9oZnjbkw154TMGIsnnhzp+CJhFMCnkjPQWj35mv5/l5/dYpT5T13ZmG45qqGZy48UfYnhT1nR2DPiRmbjpVKuwzFdi8TOHW+4w00L7A/PMl4DwBP9vccxsqB8rpM9SmvROS1Vy2796X+HoQSfN/F67v33unp7nPXde+9h3vHLdfSvBfP8pN24zX9RHiKzDVXLWmX2XJhNKCZGe4+f13LW2QFANwbeQlrwf0XzwLgLBb3Xbie5r2/nWcGVGO7jDXmgba/zHNI1xrbh8srH4Dj2J5+/phu9/GnL7m8D1xoxvaZp56j2336kt+H+y/oz4HiTZ6vt9bivAH+mrhfwIiU12s3HZvX3/uEdu8ScOpFN/U45WFEKug93rMvEA7VZxa4ut1ATMjLrTe0iqKzP80M95zjMeLe2fGEaDfyEngSsZJpN/bBO0g27Ta8wYeert1LhFJ5f4snX37uMsHbtPuFLz9P9+HzBG8c23OX/f4q2HN/gifeMx6LJ96eU/BPwak4bwxvhmkOb6pPeWO77cZraN5MsXWew3XZobrIiquWi065ZXDqRTc1fS7N8UEowalS6U3aNYl2P2UZFCWrEwBuvu4qql0AuOccr4BGxZYSGOd5gaEozGOEAEMSWLcA8RVBqfziV3il8lNPPEv0oeH95JeeofvwsS8+TbTbKsHP+IJIUdofEObifqFdiVcA4HsFBfTuc3y7u1AqvT33gjM9TrkuPhGnuhJTxL6/0FqFGIy4J2IPoVTe0+GJwuuy9od1QbGVlEq/C90aZrwkkZdSKtv9+YWv8Erlp55kcKrh/fgXeZz65OM8/n35+SOalyFNsZ3nsH5wSqWzhm/JrKVF1lypdNq9KmlsytAJAHjBmcXa97bRC29sDtUKTjF4cjeBJwehBKfEgF/HSzywG9sQA2Yi4gLmJoJXFCMvkwgVFVuG4mJgXEWxXUapjMDDKJVRCHyaAuuoVPq8EXg+/iVeqfwdRghEgUEotnFsXyQstnFshNFYBGue916BN1UqPUqVSo/OCaETmVLp7I2rzyRgTVgAWF61IkHHK+AUgyfn7G9wtwAAECRJREFUuhAZvz1NAeWtpfcIh+rIyyiV9wpKZWz3qWd5pZKxPnZKJXH4lTCi5f2YgCfcQflsy8srtk89xyircymV87SbelQ8SpVKj1Kl0tsao5VKBacmxpP+N3ye6AFi2r0YPUBEf6POQRkKBZyK7TIhgpH3uCCYD0YJvv7qxnLCTMQdN19L894zk1IZrbtfJoAntssolVERZ5TK2IdPPO4DZewDo1TGhfM7glWTAetOCFCK7dm2D4wg4i0ssQ/MHCtgfbcA1mOVSo9SpdKjVKn0iDlARmKscptIUUAZYB/DywBwjElTLKCUp6ZdP4z7O+775xmlsuVllMrYX0apjO3+LqFUxrExSmXsg6JUcgdlAU9aKyGnBPPKquIBemAmZXUXSqVHqVLp0VWMlaklBadSUjBLw55pD9VKoqISJx6tpcxjiPu+pFQO233uyDe8xXafIPZGxIjPfdkPEYx9KOHUwSjBUVl9lohnvPdCM7DHn/GVyvjAPkvEVEZeRgGNbrtPPcG024yNERhxbFS70QpLtBv7wLQbleDPPMnHoSoxq599yheyUXAy1qPbBbBWlMrrT7BSedJoakvIDdfwc3fXueZQwoTpxH3PHX6b9f4lwpNwr4RTvFVT4e0xjWj3go4nU2PPvUIfosL8Ward5jl8gTBa3NnmnTBKwQtv4HHq5utOrlL51UzSYZ1gvaUNq1wRp9+4NziPSjz8+jh1r2Cki3jCyHsFT+4VPDWSPnXe91Qv3/Wud7kNTU3vfve73/XYY49lf3vNgxfw+DOX8IdeebcrEF913zl87svP44+95j6ccTb1o/fcgk89+Rwee90DrqLyyJ0343cffxY/+IYHstjjTfSSF92ETzz+DP7Tb3mxqyw99MIb8InHn8WPvOnFuCGJf95E9124Hp98/Bm8480PuUB4x83X4lNPPIc/8ZaHsmzMTXTh7NX4zFMN760OGN9wzRl8/ivP451veRi33VTmvfaqJZ545hL+5O97uLPQb6OrzyzwleeO8M63POxaTpcLw6WjFX7wjQ+6lg4zQwjA2197Hx68tRybZma4arnAd7/qbjz0whuKvEBjXX3b19+Br739Rpf3luuuxu9/6W146R03ubwvvPEavOGhi3jkrptd3rtuuQ6vvO8cXnHPLS7v/RfP4uvuvAnfeO85l/drbrsRD956Fq++/7zL+8idN+POW67Fax684PI+es85nD97NV730EWX95seuIDrX3AGb/yaW13eNzx8K8wM3/bS29zDwRseuhWXjlb49kfucJXm1734Ar783BG+8xvudAX/Nz1wHl96+hL+8KvvxhnHLPSq+87hs089h7e/5j5X+XjFPbfgU088h//49fdn8cSb6JE7b8YnH38WP/TGB3Ht1R5O3YiPf+kZ/Gff6uPUg7eebXDqzQ9leRqb6J7z1+F3n3gW73iTj1O33XQNPv1kgz3nz5Zx6vzZF+CzLe+tzuH2hhecwRe+8jze+fsexu2Od+Xaq5d44pnLeOdbHsKdt5Sx56rlAs9cOsaPvOnFridxuTAcHQf8wBvux30XfOwxGL7vm+51cQpo4sq/6xvvwsO3cTj17S+/Ay95kY9T56+/Gm/5Pbfh6wicuu3Ga/DNL76IlxM4dfe56/DoPefwDQROPXjrWfyeF92EV97n49TX3n4jHrh4Fr/3AQKn7roZL7r5WryWwKlX3nsOt1zH4dRrH7yAa65a4lu+5lYXe9748K0wA37/S293eV//0EU8d3mFt329j1OvffEFPPXsZfzBb7zL1ZF+7/0X8IWnL+F7X32PqyN9433n8JmnnsP3v5bAqbtvwaeeeBY/8IYHXJx62Z034ROPP4s//sYXuzj1NbffgE986Rn8MIFTD9x6PT7xpWfxjjc/hBuvLePUXeeuw6eeeBbvePPD+Ms/8Rc+/a53vevdQx4LjP9tYnr00UfD+9///p3/bqVKlSpVqlSpUqXTRWb2gRDCo8O/H0w4RKVKlSpVqlSpUqVKu6KqBFeqVKlSpUqVKlU6dVSV4EqVKlWqVKlSpUqnjqoSXKlSpUqVKlWqVOnUUVWCK1WqVKlSpUqVKp06qkpwpUqVKlWqVKlSpVNHVQmuVKlSpUqVKlWqdOqoKsGVKlWqVKlSpUqVTh1VJbhSpUqVKlWqVKnSqaOqBFeqVKlSpUqVKlU6dVSV4EqVKlWqVKlSpUqnjqoSXKlSpUqVKlWqVOnUUVWCK1WqVKlSpUqVKp06qkpwpUqVKlWqVKlSpVNHVQmuVKlSpUqVKlWqdOqoKsGVKlWqVKlSpUqVTh1VJbhSpUqVKlWqVKnSqaOqBFeqVKlSpUqVKlU6dWQhhN3/qNnnAXzMYbsA4As76M4+6CYAT+67EzNSnbuTSXXeTibVeTu5VOfuZFKdt5NH94QQLg7/uBclmCEze38I4dF992MOMrN3hxAe23c/5qI6dyeT6rydTKrzdnKpzt3JpDpvXz1UwyH2Qz+/7w5UGk117k4m1Xk7mVTn7eRSnbuTSadq3qoSvAcKIZyqRfbVRHXuTibVeTuZVOft5FKdu5NJp23eDlkJfve+O1BpNNW5O5lU5+1kUp23k0t17k4m1Xn7KqGDjQmuVKlSpUqVKlWqVGkuOmRLcKVKlSpVqlSpUqVKs9BOlWAz+2tm9jkz+0jyt0fM7J+Y2b8ws583sxvbv99rZs+a2Qfbfz+ZfOe7zOzDZvZRM/vxXY7hNJIyb+1nL2s/+2j7+TXt3+u87ZDE/fY9yV77oJmtzOzl7Wd13nZM4txdZWZ/vf37b5jZn0m+88Nm9pF27n5kH2M5TSTO29Vm9p727x8yszck36l7bodkZneZ2f9jZv+yfeY/3P79nJm918x+q329pf27mdn/ZGb/up2nVyRt/Xi75z5iZt+1rzFVIimEsLN/AF4H4BUAPpL87Z8BeH37/u0A/nz7/t6UL+E/D+DjAC62///rAL51l+M4bf/EeTsD4MMAHknma1nn7bDnbfC9rwPwb5L5q/N2wHMH4LsB/Fz7/joAv9Pi50sBfKT92xkAvwrgwX2P7av5nzhvPwTgPe37WwF8AI1hqu653c/b7QBe0b6/AcC/AvASAP89gD/d/v1PA/jx9v0fAPBLAAzAqwH8Wvv3fwfAe9v9dn079zfue3z13/Z/O7UEhxDeB+BLgz8/BOB97fv3AvgOp5n7AfxWCOHz7f9/lfhOpSsgcd7eAuDDIYQPtd/9YgjhGHXedk5XsN/+EICfa9/XedsDiXMXAFxvZmcAXAvgEoCnAHwtGuH8TAjhCMA/APAfzN3300zivL0EwP/dfu9zAJ4A8Cjqnts5hRA+HUL49fb9lwH8BoA7ALwVzSEE7evb2vdvBfC/hYb+KYCbzex2NHP6vhDCUQjhaTQGoW/b4VAqiXQIMcEfRbOgAOA7AdyVfHafmf1zM/sHZvbN7d/+NYCH23CJM2gWZfqdSruhbfP2EIBgZr9sZr9uZn+q/Xudt8Og0n6L9F0AfrZ9X+ftcGjb3P1NAE8D+DQaC+L/EEL4Ehor8Deb2Xkzuw6N9arO3e5p27x9CMC3m9kZM7sPwDe0n9U9t0cys3sBfD2AXwPwwhDCp9uPPgPghe37OwB8IvnaJ9u/fQjAt5nZdWZ2AcAbUefuoOkQlOC3A/hBM/sAGjfEpfbvnwZwdwjh6wH8CQA/Y2Y3hhAeB/CfAPgbAP4hGtff8c57XWnbvJ0B8FoA39O+/vtm9q113g6Gts0bAMDMXgXgmRDCRwCgzttB0ba5eyWaOXkRgPsAvNPM7g8h/AaAHwfwKwD+HoAPos7dPmjbvP01NMrT+wH8jwD+MYDjuuf2R2Z2FsDfAvAjIYSn0s9CCAGN12UrhRB+BcAvopnLnwXwT1Dn7qDpzL47EEL4TTQudJjZQ2hiahBCeB7A8+37D5jZv0FjZXx/aIo5/3z7ncdQF9nOadu8oQH194UQvtB+9otoYuT+fp23/VNh3iL9h+itwPE7dd4OgApz990A/l4I4TKAz5nZP0LjVv/tEMJfBfBX2+/8BTT7s9IOqSDjjgC8I/KZ2T9GE4ta99weyMyuQqMA/3QI4W+3f/6smd0eQvh0G+7wufbvv4vcwntn+zeEEH4MwI+1bf4M2jmtdJi0d0uwmd3avi4A/JcAfrL9/0UzW7bv7wfwYgC/PfjOLQB+EMD/uvuen27aNm8AfhnA17XuoDMAXg/gXw6+U+dtT1SYt/i3P4g+Hnj4nTpve6TC3H0cwLe0n12PJlHnNwffuRtNPPDP7LbXlQoy7rp2vmBmbwZwFEKoWLkHMjNDc1j8jRDCX0o++rsA/mj7/o8C+D+Tv/+RtkrEqwE82SrKSzM737b5MgAvQ+OJqXSgtFNLsJn9LIA3ALhgZp8E8GcBnDWzH2pZ/jaA97TvXwfgz5nZZQArAD/QxrkBwF82s0fa938uhFBPWjOSMm8hhMfN7C+hyYoNAH4xhPB/tXx13nZI4n4Dmj33iRDCbw+aqvO2YxLn7q8AeI+ZfRRNtvp7Qggfbj/7W61Qvgzgh0IIT+xqDKeRxHm7FcAvm9kKjRXxe5Om6p7bLb0GzfP/F2b2wfZv/wWAvwjgfzez7wfwMTRGAqAJefgDaOK3nwHwx9q/XwXgHzY6NZ4C8Idbi3+lA6V6Y1ylSpUqVapUqVKlU0d7D4eoVKlSpUqVKlWqVGnXVJXgSpUqVapUqVKlSqeOqhJcqVKlSpUqVapU6dRRVYIrVapUqVKlSpUqnTqqSnClSpUqVapUqVKlU0dVCa5UqVKlAyIze5eZ/cnC528zs5fssk+VKlWq9NVIVQmuVKlSpZNFbwNQleBKlSpVukKqdYIrVapUac9kZj+K5kaqzwH4BIAPAHgSwGMArkZTlP97AbwcwC+0nz0J4DvaJv4KgItoCvf/R+1VvZUqVapUqUBVCa5UqVKlPZKZfQOAnwLwKjS3eP46mqt13xNC+GLL898C+GwI4X82s58C8AshhL/Zfvb30dyo+Vtm9ioA/10I4Vt2P5JKlSpVOlm002uTK1WqVKnSGn0zgL8TQngGAMzs77Z/f2mr/N4M4CyAXx5+0czOAvgmAP9He1UrALxg9h5XqlSp0lcBVSW4UqVKlQ6TfgrA20IIHzKz7wPwhg08CwBPhBBevsN+VapUqdJXBdXEuEqVKlXaL70PwNvM7FozuwHAv9f+/QYAnzazqwB8T8L/5fYzhBCeAvBvzew7AcAaemR3Xa9UqVKlk0tVCa5UqVKlPVII4dcB/A0AHwLwSwD+WfvRfwXg1wD8IwBpotvPAfjPzeyfm9kDaBTk7zezDwH4KIC37qrvlSpVqnSSqSbGVapUqVKlSpUqVTp1VC3BlSpVqlSpUqVKlU4dVSW4UqVKlSpVqlSp0qmjqgRXqlSpUqVKlSpVOnVUleBKlSpVqlSpUqVKp46qElypUqVKlSpVqlTp1FFVgitVqlSpUqVKlSqdOqpKcKVKlSpVqlSpUqVTR1UJrlSpUqVKlSpVqnTq6P8H/ZFXuhhTNUoAAAAASUVORK5CYII=\n",
            "text/plain": [
              "<Figure size 864x576 with 1 Axes>"
            ]
          },
          "metadata": {
            "tags": [],
            "needs_background": "light"
          }
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "lHTI_4q0UtaL",
        "colab_type": "code",
        "outputId": "fdb93616-bc00-4f3c-d82d-1e719dccf670",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 465
        }
      },
      "source": [
        "auto_arima(df['interpolated'] , seasonal=True, m = 12).summary()"
      ],
      "execution_count": 69,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/html": [
              "<table class=\"simpletable\">\n",
              "<caption>SARIMAX Results</caption>\n",
              "<tr>\n",
              "  <th>Dep. Variable:</th>                  <td>y</td>               <th>  No. Observations:  </th>    <td>729</td>  \n",
              "</tr>\n",
              "<tr>\n",
              "  <th>Model:</th>           <td>SARIMAX(0, 1, 1)x(1, 0, 1, 12)</td> <th>  Log Likelihood     </th> <td>-209.434</td>\n",
              "</tr>\n",
              "<tr>\n",
              "  <th>Date:</th>                   <td>Sun, 24 May 2020</td>        <th>  AIC                </th>  <td>428.867</td>\n",
              "</tr>\n",
              "<tr>\n",
              "  <th>Time:</th>                       <td>11:43:01</td>            <th>  BIC                </th>  <td>451.819</td>\n",
              "</tr>\n",
              "<tr>\n",
              "  <th>Sample:</th>                         <td>0</td>               <th>  HQIC               </th>  <td>437.723</td>\n",
              "</tr>\n",
              "<tr>\n",
              "  <th></th>                             <td> - 729</td>             <th>                     </th>     <td> </td>   \n",
              "</tr>\n",
              "<tr>\n",
              "  <th>Covariance Type:</th>               <td>opg</td>              <th>                     </th>     <td> </td>   \n",
              "</tr>\n",
              "</table>\n",
              "<table class=\"simpletable\">\n",
              "<tr>\n",
              "      <td></td>         <th>coef</th>     <th>std err</th>      <th>z</th>      <th>P>|z|</th>  <th>[0.025</th>    <th>0.975]</th>  \n",
              "</tr>\n",
              "<tr>\n",
              "  <th>intercept</th> <td> 2.539e-05</td> <td>    0.000</td> <td>    0.211</td> <td> 0.833</td> <td>   -0.000</td> <td>    0.000</td>\n",
              "</tr>\n",
              "<tr>\n",
              "  <th>ma.L1</th>     <td>   -0.3726</td> <td>    0.035</td> <td>  -10.723</td> <td> 0.000</td> <td>   -0.441</td> <td>   -0.304</td>\n",
              "</tr>\n",
              "<tr>\n",
              "  <th>ar.S.L12</th>  <td>    0.9996</td> <td>    0.000</td> <td> 2875.523</td> <td> 0.000</td> <td>    0.999</td> <td>    1.000</td>\n",
              "</tr>\n",
              "<tr>\n",
              "  <th>ma.S.L12</th>  <td>   -0.8658</td> <td>    0.022</td> <td>  -39.475</td> <td> 0.000</td> <td>   -0.909</td> <td>   -0.823</td>\n",
              "</tr>\n",
              "<tr>\n",
              "  <th>sigma2</th>    <td>    0.0976</td> <td>    0.005</td> <td>   20.059</td> <td> 0.000</td> <td>    0.088</td> <td>    0.107</td>\n",
              "</tr>\n",
              "</table>\n",
              "<table class=\"simpletable\">\n",
              "<tr>\n",
              "  <th>Ljung-Box (Q):</th>          <td>51.90</td> <th>  Jarque-Bera (JB):  </th> <td>3.69</td> \n",
              "</tr>\n",
              "<tr>\n",
              "  <th>Prob(Q):</th>                <td>0.10</td>  <th>  Prob(JB):          </th> <td>0.16</td> \n",
              "</tr>\n",
              "<tr>\n",
              "  <th>Heteroskedasticity (H):</th> <td>1.12</td>  <th>  Skew:              </th> <td>-0.04</td>\n",
              "</tr>\n",
              "<tr>\n",
              "  <th>Prob(H) (two-sided):</th>    <td>0.38</td>  <th>  Kurtosis:          </th> <td>3.34</td> \n",
              "</tr>\n",
              "</table><br/><br/>Warnings:<br/>[1] Covariance matrix calculated using the outer product of gradients (complex-step)."
            ],
            "text/plain": [
              "<class 'statsmodels.iolib.summary.Summary'>\n",
              "\"\"\"\n",
              "                                     SARIMAX Results                                      \n",
              "==========================================================================================\n",
              "Dep. Variable:                                  y   No. Observations:                  729\n",
              "Model:             SARIMAX(0, 1, 1)x(1, 0, 1, 12)   Log Likelihood                -209.434\n",
              "Date:                            Sun, 24 May 2020   AIC                            428.867\n",
              "Time:                                    11:43:01   BIC                            451.819\n",
              "Sample:                                         0   HQIC                           437.723\n",
              "                                            - 729                                         \n",
              "Covariance Type:                              opg                                         \n",
              "==============================================================================\n",
              "                 coef    std err          z      P>|z|      [0.025      0.975]\n",
              "------------------------------------------------------------------------------\n",
              "intercept   2.539e-05      0.000      0.211      0.833      -0.000       0.000\n",
              "ma.L1         -0.3726      0.035    -10.723      0.000      -0.441      -0.304\n",
              "ar.S.L12       0.9996      0.000   2875.523      0.000       0.999       1.000\n",
              "ma.S.L12      -0.8658      0.022    -39.475      0.000      -0.909      -0.823\n",
              "sigma2         0.0976      0.005     20.059      0.000       0.088       0.107\n",
              "===================================================================================\n",
              "Ljung-Box (Q):                       51.90   Jarque-Bera (JB):                 3.69\n",
              "Prob(Q):                              0.10   Prob(JB):                         0.16\n",
              "Heteroskedasticity (H):               1.12   Skew:                            -0.04\n",
              "Prob(H) (two-sided):                  0.38   Kurtosis:                         3.34\n",
              "===================================================================================\n",
              "\n",
              "Warnings:\n",
              "[1] Covariance matrix calculated using the outer product of gradients (complex-step).\n",
              "\"\"\""
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 69
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "G2xYuCLrVI3d",
        "colab_type": "code",
        "outputId": "b66ec55f-b988-471e-9bdb-7a553faf21d3",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 34
        }
      },
      "source": [
        "df.shape"
      ],
      "execution_count": 70,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "(729, 5)"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 70
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "YL97ZXeyWxe1",
        "colab_type": "code",
        "outputId": "5b24449f-6d5a-462b-ab09-43f97ef75dd5",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 34
        }
      },
      "source": [
        "len(df)"
      ],
      "execution_count": 71,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "729"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 71
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "ldKrlE3MWxcw",
        "colab_type": "code",
        "colab": {}
      },
      "source": [
        "train = df.iloc[:717]\n",
        "test = df.iloc[717:]"
      ],
      "execution_count": 0,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "2y1DB5DxWxay",
        "colab_type": "code",
        "colab": {}
      },
      "source": [
        "model = SARIMAX(train['interpolated'] , order=(0,1,1) , seasonal_order=(1,0,1,12))"
      ],
      "execution_count": 0,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "BlnWyWNWWxYd",
        "colab_type": "code",
        "colab": {}
      },
      "source": [
        "result = model.fit()"
      ],
      "execution_count": 0,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "3LnC3m9SWxWZ",
        "colab_type": "code",
        "outputId": "1a21ad1a-e759-4614-832a-19790827749e",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 444
        }
      },
      "source": [
        "result.summary()"
      ],
      "execution_count": 75,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/html": [
              "<table class=\"simpletable\">\n",
              "<caption>SARIMAX Results</caption>\n",
              "<tr>\n",
              "  <th>Dep. Variable:</th>            <td>interpolated</td>          <th>  No. Observations:  </th>    <td>717</td>  \n",
              "</tr>\n",
              "<tr>\n",
              "  <th>Model:</th>           <td>SARIMAX(0, 1, 1)x(1, 0, 1, 12)</td> <th>  Log Likelihood     </th> <td>-205.148</td>\n",
              "</tr>\n",
              "<tr>\n",
              "  <th>Date:</th>                   <td>Sun, 24 May 2020</td>        <th>  AIC                </th>  <td>418.296</td>\n",
              "</tr>\n",
              "<tr>\n",
              "  <th>Time:</th>                       <td>11:43:05</td>            <th>  BIC                </th>  <td>436.591</td>\n",
              "</tr>\n",
              "<tr>\n",
              "  <th>Sample:</th>                    <td>03-01-1958</td>           <th>  HQIC               </th>  <td>425.361</td>\n",
              "</tr>\n",
              "<tr>\n",
              "  <th></th>                          <td>- 11-01-2017</td>          <th>                     </th>     <td> </td>   \n",
              "</tr>\n",
              "<tr>\n",
              "  <th>Covariance Type:</th>               <td>opg</td>              <th>                     </th>     <td> </td>   \n",
              "</tr>\n",
              "</table>\n",
              "<table class=\"simpletable\">\n",
              "<tr>\n",
              "      <td></td>        <th>coef</th>     <th>std err</th>      <th>z</th>      <th>P>|z|</th>  <th>[0.025</th>    <th>0.975]</th>  \n",
              "</tr>\n",
              "<tr>\n",
              "  <th>ma.L1</th>    <td>   -0.3711</td> <td>    0.034</td> <td>  -10.878</td> <td> 0.000</td> <td>   -0.438</td> <td>   -0.304</td>\n",
              "</tr>\n",
              "<tr>\n",
              "  <th>ar.S.L12</th> <td>    0.9997</td> <td>    0.000</td> <td> 3239.402</td> <td> 0.000</td> <td>    0.999</td> <td>    1.000</td>\n",
              "</tr>\n",
              "<tr>\n",
              "  <th>ma.S.L12</th> <td>   -0.8649</td> <td>    0.023</td> <td>  -37.857</td> <td> 0.000</td> <td>   -0.910</td> <td>   -0.820</td>\n",
              "</tr>\n",
              "<tr>\n",
              "  <th>sigma2</th>   <td>    0.0960</td> <td>    0.005</td> <td>   20.209</td> <td> 0.000</td> <td>    0.087</td> <td>    0.105</td>\n",
              "</tr>\n",
              "</table>\n",
              "<table class=\"simpletable\">\n",
              "<tr>\n",
              "  <th>Ljung-Box (Q):</th>          <td>51.97</td> <th>  Jarque-Bera (JB):  </th> <td>3.79</td> \n",
              "</tr>\n",
              "<tr>\n",
              "  <th>Prob(Q):</th>                <td>0.10</td>  <th>  Prob(JB):          </th> <td>0.15</td> \n",
              "</tr>\n",
              "<tr>\n",
              "  <th>Heteroskedasticity (H):</th> <td>1.13</td>  <th>  Skew:              </th> <td>-0.02</td>\n",
              "</tr>\n",
              "<tr>\n",
              "  <th>Prob(H) (two-sided):</th>    <td>0.35</td>  <th>  Kurtosis:          </th> <td>3.35</td> \n",
              "</tr>\n",
              "</table><br/><br/>Warnings:<br/>[1] Covariance matrix calculated using the outer product of gradients (complex-step)."
            ],
            "text/plain": [
              "<class 'statsmodels.iolib.summary.Summary'>\n",
              "\"\"\"\n",
              "                                     SARIMAX Results                                      \n",
              "==========================================================================================\n",
              "Dep. Variable:                       interpolated   No. Observations:                  717\n",
              "Model:             SARIMAX(0, 1, 1)x(1, 0, 1, 12)   Log Likelihood                -205.148\n",
              "Date:                            Sun, 24 May 2020   AIC                            418.296\n",
              "Time:                                    11:43:05   BIC                            436.591\n",
              "Sample:                                03-01-1958   HQIC                           425.361\n",
              "                                     - 11-01-2017                                         \n",
              "Covariance Type:                              opg                                         \n",
              "==============================================================================\n",
              "                 coef    std err          z      P>|z|      [0.025      0.975]\n",
              "------------------------------------------------------------------------------\n",
              "ma.L1         -0.3711      0.034    -10.878      0.000      -0.438      -0.304\n",
              "ar.S.L12       0.9997      0.000   3239.402      0.000       0.999       1.000\n",
              "ma.S.L12      -0.8649      0.023    -37.857      0.000      -0.910      -0.820\n",
              "sigma2         0.0960      0.005     20.209      0.000       0.087       0.105\n",
              "===================================================================================\n",
              "Ljung-Box (Q):                       51.97   Jarque-Bera (JB):                 3.79\n",
              "Prob(Q):                              0.10   Prob(JB):                         0.15\n",
              "Heteroskedasticity (H):               1.13   Skew:                            -0.02\n",
              "Prob(H) (two-sided):                  0.35   Kurtosis:                         3.35\n",
              "===================================================================================\n",
              "\n",
              "Warnings:\n",
              "[1] Covariance matrix calculated using the outer product of gradients (complex-step).\n",
              "\"\"\""
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 75
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "6YaVuumvWxUS",
        "colab_type": "code",
        "colab": {}
      },
      "source": [
        "start = len(train)\n",
        "end = len(train) + len(test) - 1"
      ],
      "execution_count": 0,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "K276PMrhWxSb",
        "colab_type": "code",
        "colab": {}
      },
      "source": [
        "predictions = result.predict(start=start , end=end, typ='levels').rename('SARIMAX Predictions')"
      ],
      "execution_count": 0,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "KC6aALUOWeWK",
        "colab_type": "code",
        "outputId": "c01fb919-72e7-4cee-c8de-6e3fbc3a6e95",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 235
        }
      },
      "source": [
        "test.head()"
      ],
      "execution_count": 78,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/html": [
              "<div>\n",
              "<style scoped>\n",
              "    .dataframe tbody tr th:only-of-type {\n",
              "        vertical-align: middle;\n",
              "    }\n",
              "\n",
              "    .dataframe tbody tr th {\n",
              "        vertical-align: top;\n",
              "    }\n",
              "\n",
              "    .dataframe thead th {\n",
              "        text-align: right;\n",
              "    }\n",
              "</style>\n",
              "<table border=\"1\" class=\"dataframe\">\n",
              "  <thead>\n",
              "    <tr style=\"text-align: right;\">\n",
              "      <th></th>\n",
              "      <th>year</th>\n",
              "      <th>month</th>\n",
              "      <th>decimal_date</th>\n",
              "      <th>average</th>\n",
              "      <th>interpolated</th>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>date</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>2017-12-01</th>\n",
              "      <td>2017</td>\n",
              "      <td>12</td>\n",
              "      <td>2017.958</td>\n",
              "      <td>406.81</td>\n",
              "      <td>406.81</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2018-01-01</th>\n",
              "      <td>2018</td>\n",
              "      <td>1</td>\n",
              "      <td>2018.042</td>\n",
              "      <td>407.96</td>\n",
              "      <td>407.96</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2018-02-01</th>\n",
              "      <td>2018</td>\n",
              "      <td>2</td>\n",
              "      <td>2018.125</td>\n",
              "      <td>408.32</td>\n",
              "      <td>408.32</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2018-03-01</th>\n",
              "      <td>2018</td>\n",
              "      <td>3</td>\n",
              "      <td>2018.208</td>\n",
              "      <td>409.41</td>\n",
              "      <td>409.41</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2018-04-01</th>\n",
              "      <td>2018</td>\n",
              "      <td>4</td>\n",
              "      <td>2018.292</td>\n",
              "      <td>410.24</td>\n",
              "      <td>410.24</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "</div>"
            ],
            "text/plain": [
              "            year  month  decimal_date  average  interpolated\n",
              "date                                                        \n",
              "2017-12-01  2017     12      2017.958   406.81        406.81\n",
              "2018-01-01  2018      1      2018.042   407.96        407.96\n",
              "2018-02-01  2018      2      2018.125   408.32        408.32\n",
              "2018-03-01  2018      3      2018.208   409.41        409.41\n",
              "2018-04-01  2018      4      2018.292   410.24        410.24"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 78
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "tn7i82LjWequ",
        "colab_type": "code",
        "outputId": "2c740e3c-102d-4c22-d2d0-b923d29e5b24",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 119
        }
      },
      "source": [
        "predictions.head()"
      ],
      "execution_count": 79,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "2017-12-01    406.583566\n",
              "2018-01-01    407.786026\n",
              "2018-02-01    408.531335\n",
              "2018-03-01    409.436791\n",
              "2018-04-01    410.996071\n",
              "Freq: MS, Name: SARIMAX Predictions, dtype: float64"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 79
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "WpOAAX_DWe1W",
        "colab_type": "code",
        "outputId": "dffb7988-b8b2-438c-88dd-974ca2c414d2",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 525
        }
      },
      "source": [
        "test['interpolated'].plot(legend=True, figsize=(12,8))\n",
        "predictions.plot(legend=True, label='Predicted Value')"
      ],
      "execution_count": 80,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "<matplotlib.axes._subplots.AxesSubplot at 0x7f46022a8f60>"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 80
        },
        {
          "output_type": "display_data",
          "data": {
            "image/png": 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\n",
            "text/plain": [
              "<Figure size 864x576 with 1 Axes>"
            ]
          },
          "metadata": {
            "tags": [],
            "needs_background": "light"
          }
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "hlFB8BzhWezN",
        "colab_type": "code",
        "colab": {}
      },
      "source": [
        "from sklearn.metrics import mean_squared_error"
      ],
      "execution_count": 0,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "0O6PlDMCWexk",
        "colab_type": "code",
        "colab": {}
      },
      "source": [
        "from statsmodels.tools.eval_measures import rmse"
      ],
      "execution_count": 0,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "9IyBZO5FWevW",
        "colab_type": "code",
        "colab": {}
      },
      "source": [
        "error = rmse(test['interpolated'] , predictions)"
      ],
      "execution_count": 0,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "bYt3F1uLWeos",
        "colab_type": "code",
        "outputId": "1a030fed-d619-4430-99bd-6f033ed03e1f",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 34
        }
      },
      "source": [
        "error"
      ],
      "execution_count": 84,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "0.34623686626591743"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 84
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "MSD0lWZKWenF",
        "colab_type": "code",
        "colab": {}
      },
      "source": [
        ""
      ],
      "execution_count": 0,
      "outputs": []
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "jQfVLuDYZV-x",
        "colab_type": "text"
      },
      "source": [
        "# FORECAST"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "1TayZ4YPWelE",
        "colab_type": "code",
        "colab": {}
      },
      "source": [
        "model_1 = SARIMAX(df['interpolated'] , order=(0,1,1) , seasonal_order=(1,0,1,12))"
      ],
      "execution_count": 0,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "rIp8NXj5ZYI5",
        "colab_type": "code",
        "colab": {}
      },
      "source": [
        "result_1 = model_1.fit()"
      ],
      "execution_count": 0,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "zTw9YOWcZYkA",
        "colab_type": "code",
        "outputId": "eb355464-d486-4739-f142-08f7ec50c74f",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 444
        }
      },
      "source": [
        "result_1.summary()"
      ],
      "execution_count": 87,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/html": [
              "<table class=\"simpletable\">\n",
              "<caption>SARIMAX Results</caption>\n",
              "<tr>\n",
              "  <th>Dep. Variable:</th>            <td>interpolated</td>          <th>  No. Observations:  </th>    <td>729</td>  \n",
              "</tr>\n",
              "<tr>\n",
              "  <th>Model:</th>           <td>SARIMAX(0, 1, 1)x(1, 0, 1, 12)</td> <th>  Log Likelihood     </th> <td>-209.449</td>\n",
              "</tr>\n",
              "<tr>\n",
              "  <th>Date:</th>                   <td>Sun, 24 May 2020</td>        <th>  AIC                </th>  <td>426.899</td>\n",
              "</tr>\n",
              "<tr>\n",
              "  <th>Time:</th>                       <td>11:43:08</td>            <th>  BIC                </th>  <td>445.260</td>\n",
              "</tr>\n",
              "<tr>\n",
              "  <th>Sample:</th>                    <td>03-01-1958</td>           <th>  HQIC               </th>  <td>433.984</td>\n",
              "</tr>\n",
              "<tr>\n",
              "  <th></th>                          <td>- 11-01-2018</td>          <th>                     </th>     <td> </td>   \n",
              "</tr>\n",
              "<tr>\n",
              "  <th>Covariance Type:</th>               <td>opg</td>              <th>                     </th>     <td> </td>   \n",
              "</tr>\n",
              "</table>\n",
              "<table class=\"simpletable\">\n",
              "<tr>\n",
              "      <td></td>        <th>coef</th>     <th>std err</th>      <th>z</th>      <th>P>|z|</th>  <th>[0.025</th>    <th>0.975]</th>  \n",
              "</tr>\n",
              "<tr>\n",
              "  <th>ma.L1</th>    <td>   -0.3716</td> <td>    0.033</td> <td>  -11.209</td> <td> 0.000</td> <td>   -0.437</td> <td>   -0.307</td>\n",
              "</tr>\n",
              "<tr>\n",
              "  <th>ar.S.L12</th> <td>    0.9997</td> <td>    0.000</td> <td> 3094.829</td> <td> 0.000</td> <td>    0.999</td> <td>    1.000</td>\n",
              "</tr>\n",
              "<tr>\n",
              "  <th>ma.S.L12</th> <td>   -0.8644</td> <td>    0.022</td> <td>  -39.913</td> <td> 0.000</td> <td>   -0.907</td> <td>   -0.822</td>\n",
              "</tr>\n",
              "<tr>\n",
              "  <th>sigma2</th>   <td>    0.0964</td> <td>    0.005</td> <td>   20.333</td> <td> 0.000</td> <td>    0.087</td> <td>    0.106</td>\n",
              "</tr>\n",
              "</table>\n",
              "<table class=\"simpletable\">\n",
              "<tr>\n",
              "  <th>Ljung-Box (Q):</th>          <td>51.01</td> <th>  Jarque-Bera (JB):  </th> <td>3.71</td> \n",
              "</tr>\n",
              "<tr>\n",
              "  <th>Prob(Q):</th>                <td>0.11</td>  <th>  Prob(JB):          </th> <td>0.16</td> \n",
              "</tr>\n",
              "<tr>\n",
              "  <th>Heteroskedasticity (H):</th> <td>1.12</td>  <th>  Skew:              </th> <td>-0.04</td>\n",
              "</tr>\n",
              "<tr>\n",
              "  <th>Prob(H) (two-sided):</th>    <td>0.36</td>  <th>  Kurtosis:          </th> <td>3.34</td> \n",
              "</tr>\n",
              "</table><br/><br/>Warnings:<br/>[1] Covariance matrix calculated using the outer product of gradients (complex-step)."
            ],
            "text/plain": [
              "<class 'statsmodels.iolib.summary.Summary'>\n",
              "\"\"\"\n",
              "                                     SARIMAX Results                                      \n",
              "==========================================================================================\n",
              "Dep. Variable:                       interpolated   No. Observations:                  729\n",
              "Model:             SARIMAX(0, 1, 1)x(1, 0, 1, 12)   Log Likelihood                -209.449\n",
              "Date:                            Sun, 24 May 2020   AIC                            426.899\n",
              "Time:                                    11:43:08   BIC                            445.260\n",
              "Sample:                                03-01-1958   HQIC                           433.984\n",
              "                                     - 11-01-2018                                         \n",
              "Covariance Type:                              opg                                         \n",
              "==============================================================================\n",
              "                 coef    std err          z      P>|z|      [0.025      0.975]\n",
              "------------------------------------------------------------------------------\n",
              "ma.L1         -0.3716      0.033    -11.209      0.000      -0.437      -0.307\n",
              "ar.S.L12       0.9997      0.000   3094.829      0.000       0.999       1.000\n",
              "ma.S.L12      -0.8644      0.022    -39.913      0.000      -0.907      -0.822\n",
              "sigma2         0.0964      0.005     20.333      0.000       0.087       0.106\n",
              "===================================================================================\n",
              "Ljung-Box (Q):                       51.01   Jarque-Bera (JB):                 3.71\n",
              "Prob(Q):                              0.11   Prob(JB):                         0.16\n",
              "Heteroskedasticity (H):               1.12   Skew:                            -0.04\n",
              "Prob(H) (two-sided):                  0.36   Kurtosis:                         3.34\n",
              "===================================================================================\n",
              "\n",
              "Warnings:\n",
              "[1] Covariance matrix calculated using the outer product of gradients (complex-step).\n",
              "\"\"\""
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 87
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "SmEVJZuBZYgv",
        "colab_type": "code",
        "colab": {}
      },
      "source": [
        "forecasted_val = result_1.predict(start=len(df) , end= len(df)+11 , typ='levels')"
      ],
      "execution_count": 0,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "Rm2jKr0RZYcr",
        "colab_type": "code",
        "outputId": "0f35f44d-d07d-4976-e54f-0798e5519f8b",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 238
        }
      },
      "source": [
        "forecasted_val"
      ],
      "execution_count": 89,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "2018-12-01    409.266614\n",
              "2019-01-01    410.461568\n",
              "2019-02-01    411.154311\n",
              "2019-03-01    412.084376\n",
              "2019-04-01    413.545014\n",
              "2019-05-01    414.202039\n",
              "2019-06-01    413.465529\n",
              "2019-07-01    411.721854\n",
              "2019-08-01    409.673225\n",
              "2019-09-01    408.219504\n",
              "2019-10-01    408.520801\n",
              "2019-11-01    410.121043\n",
              "Freq: MS, dtype: float64"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 89
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "dKJf05NCZYaY",
        "colab_type": "code",
        "outputId": "38025a4d-1e46-4e6e-a398-0636dd63db52",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 34
        }
      },
      "source": [
        "df.index.min()"
      ],
      "execution_count": 90,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "Timestamp('1958-03-01 00:00:00')"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 90
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "qw5X-IFYZYYJ",
        "colab_type": "code",
        "outputId": "a7bd49c7-acfc-4b03-da82-b0dcc33d10c8",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 34
        }
      },
      "source": [
        "train.index.min() , train.index.max()"
      ],
      "execution_count": 91,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "(Timestamp('1958-03-01 00:00:00'), Timestamp('2017-11-01 00:00:00'))"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 91
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "_eSrggC9ZYWC",
        "colab_type": "code",
        "outputId": "bc6df013-4ae0-4ae9-ddba-4b072c8d49d8",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 34
        }
      },
      "source": [
        "len(df)"
      ],
      "execution_count": 92,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "729"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 92
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "Lp1TKKVVZYUF",
        "colab_type": "code",
        "outputId": "7c25ba7c-621c-431b-80ef-e2e8c89ef658",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 525
        }
      },
      "source": [
        "test['interpolated'].plot(figsize=(12,8))\n",
        "forecasted_val.plot(legend=True, label='Forecasted Values')"
      ],
      "execution_count": 93,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "<matplotlib.axes._subplots.AxesSubplot at 0x7f4602ba7320>"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 93
        },
        {
          "output_type": "display_data",
          "data": {
            "image/png": 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\n",
            "text/plain": [
              "<Figure size 864x576 with 1 Axes>"
            ]
          },
          "metadata": {
            "tags": [],
            "needs_background": "light"
          }
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "00DagGIGZYSC",
        "colab_type": "code",
        "outputId": "2c91bc00-fbe4-4bd9-9ebe-ab66fb429c3f",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 514
        }
      },
      "source": [
        "df['interpolated'].plot(legend=True, figsize=(12,8))\n",
        "forecasted_val.plot(legend=True, label=\"forecasted values\")"
      ],
      "execution_count": 94,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "<matplotlib.axes._subplots.AxesSubplot at 0x7f4602255a58>"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 94
        },
        {
          "output_type": "display_data",
          "data": {
            "image/png": 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\n",
            "text/plain": [
              "<Figure size 864x576 with 1 Axes>"
            ]
          },
          "metadata": {
            "tags": [],
            "needs_background": "light"
          }
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "96Z2EgiJZYQG",
        "colab_type": "code",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 514
        },
        "outputId": "fc0873a1-abb8-4dde-e16d-9a5ebc3a037a"
      },
      "source": [
        "df['interpolated'].plot(legend=True, figsize=(12,8))\n",
        "forecasted_val.plot(legend=True, label=\"forecasted values\")"
      ],
      "execution_count": 95,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "<matplotlib.axes._subplots.AxesSubplot at 0x7f460233e160>"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 95
        },
        {
          "output_type": "display_data",
          "data": {
            "image/png": 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\n",
            "text/plain": [
              "<Figure size 864x576 with 1 Axes>"
            ]
          },
          "metadata": {
            "tags": [],
            "needs_background": "light"
          }
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "CwezAw92ZYN2",
        "colab_type": "code",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 34
        },
        "outputId": "a8ed3840-7779-4a67-e03b-31c6a8d6dff8"
      },
      "source": [
        "len(df)"
      ],
      "execution_count": 96,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "729"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 96
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "2mP98gkBWejX",
        "colab_type": "code",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 497
        },
        "outputId": "f8100715-c8e4-4ddb-8054-31697154462b"
      },
      "source": [
        "ax = df['interpolated'][600:].plot(figsize=(12,8))\n",
        "forecasted_val.plot(legend=True, label='Forecasted Values' ,ax =ax);"
      ],
      "execution_count": 98,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "image/png": 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awVhERERkMfjN3macBm67oPBtr8fH2PnWf1vPyISDN2q7Q7S6aSaG4eV/gaKtUH5DcJ4ZFQPZ5QE/gKdgLCIiIhJixhh+s6eZLaUZLM1MfMfnV+YmERNl42j7YAhWd5Zd34eh03D1P7s6RgRL3lpoVzAWEREROa/tbeyltmuYO87aLfaIsttYmZtETdtAkFd2lqFOeP27UHETFF8U3GfnroWhdtcaAkTBWERERCTEfl3VTEKMnevX5c96TXleCjVtId4x3vmvMDkKV/6v4D/bcwDvdODqjBWMRUREREJodMLBkwfauH5dPomxsx9kq8hPoWtonM7B8SCubhrHJBx4GNbdDlkrgv/8M50pAldOoWAsIiIiEkLPHG5jaHxq1jIKj4q8ZACOtoeonKL+VRjrh9W3hOb5CRmQXBDQA3heB2PLsuyWZe2zLOtJ98eftizrpGVZxrKsrGnXWZZlPeD+3AHLsjYFYuEiIiIi54NHdzdTnJHAltKMc15Xnp8CwNFQlVPUPAnRiVC2IzTPh4AfwPNlx/hzQM20j18HrgIazrruOmCF+597gB8sZIEiIiIi56vDrf3squ3mzi3FWHN0eMhIjCE3JTY0B/CcTjj6FCy/EqLjg/98j9y10HUMpuZZTrL/4XN+2qtgbFlWIXAD8KDnNWPMPmNM/QyXvwf4hXF5A0izLGv2SnIRERGRRerHO2tJjLHzgYuKvbq+PC+FmlC0bGvZ4+oIUXFT8J89Xd5acE5B51Hf3zs5Br//zDkv8XbH+H7gC4DTi2uXAE3TPm52vyYiIiIibq19o/zhQBt3bikmNT7aq/dU5KdwsmOQiSlvIpkfHf0D2KJgxbuD+9yz5a13/TqfcorWveCYOOclcwZjy7JuBDqMMXt8X8E573uPZVlVlmVVdXYGrh+diIiISDj66Wt1AHz0XaVev6ciP5lJh6G2ayhQy3onY1z1xaWXQXxa8J47k4xlEBU/vwN4jbvmvMSbHeNLgJsty6oHHgausCzrl+e4vgUomvZxofu1tzHG/MgYs9kYszk7O9uLZYiIiIicH/pHJ/mvtxq5aX0+S9K8r9mtcB/AC2qdcedR6DkF5TcG75mzsdkhdzW0z6OXccMu11jpc91+rnsYY75sjCk0xpQA7wdeNMbcfY63/B74kLs7xVag3xjT5sOyRURERM5r//VWI8MTDj526TKf3lealUiM3RbczhQ1TwIWlN8QvGeeS+5a146xMd6/x+mApregeOs5L5t3H2PLsj5rWVYzrh3hA5ZleQ7mPQ3UAieBHwN/Pd9niIiIiEz3p8PtvOf7rzM0PhXqpczbxJST/3y9jkuWZ7J2SapP742221iRm8SRYO4YH/0DFF4IyXnBe+a55K2D0V4YeEdBwuw6amC8H4ovPudlPgVjY8zLxpgb3b9/wL2THGWMKTDGfMz9ujHG/I0xpswYs84YU+XLM0RERERmMjw+xT/87hD7m/p4+K3GUC9n3n6/v5XTA+Pcc1nZvN5fnpfC0WB1puhrhLb94bNbDLDEPSKj6U3v3+OpLw7UjrGIiIhIMH3/pZN0DI5TmpXIg6/WBb8zgx8YY/jxzlrK85K5bEXW3G+YQUV+Mp2D43QNBWE09NGn3A8NcZu26fI2QGwq1L7i/Xsad7mm5qWduy2egrGIiIiEvYbuYR58tY5bNy7hn25eQ/vAGL+r9uFH6WHileOdHDs9yMcvXTbnQI/ZVARzAl7Nk5BdAZnz290OCHsUlFwCdTu9u94Y18G7pdtgjj9zBWMREREJe998qoYou8WXrivn0hVZrClI4YevnMLp9OEAVhj45RsN5CTHctOGgnnfozwvGQhCZ4rhLmj8M1SEQTeKs5Vuh946V6nHXPoaYbAVirfNeamCsYiIiIS110508eyR0/zNjuXkpsRhWRaf2F5Gbecwz9WcDvXyvNY/Mskrxzu5eUMBMVHzj2CZSbHkJMdS0x7gYHzsj2Cc4dGm7Wyll7l+9WbXuPEN168KxiIiIhLJphxO/ukPhynOSOCvpg3CuH5tHsUZCfzg5VMYX9p2hdAzh9uYdBhurpz/brFHRX4KNYEupeg6DmlLIX9DYJ8zHzkVkJjtXZ1x459dNck5FXNeqmAsIiIiYeuXbzRwomOIr9xQQVy0/czrUXYbH79sGdVNfbxZ1xPCFXrv9/tbKclMYJ2PLdpmUp6fzMmOQSYdATyA+O6vw1+/MWddbkhYlmvXuG7n3P2MG9+A4otcw0HmoGAsIiIiYal/ZJL7njvOu5Zn8e7Vue/4/B0XFJKVFMMPXzkVgtX5pmNwjF2nurlpQ8G8D91Ntzo/hUmH4VRngEdDxyQE9v4LUbodhtpdO9uzGelxTe6bo02bh4KxiIiIhKXXT3UxMDbF565aMWOYjIu289FLSnn5WCdHWoM48GIenj7QhtPAzQs4dDddeV4QO1OEK2/qjH2oLwYFYxEREQlT+5v7iLZbrC+cvfTg7ouWkhhj5z92hveu8e/3t1Kel8yK3GS/3G9Ztms0dMA7U4SzjFJXX+Lal2e/pnEX2GOgYJNXt1QwFhERkbB0oKmfivwUYqNmrw1NTYjm5soCXqjpwBGmrduaekbY29i3oBZtZ4u221iek0RNsCbghavSy6D+NXA6Zv584y5XKI6O8+p2CsYiIiISdpxOw6GW/nPuFntcsDSDofEpagNdbztPTx5oA/xXRuHh6kyxiHeMAUovh7E+aD/wzs9NjEBrtWuwh5cUjEVERCTs1HYNMzg+xfrCtDmvrSxyXbOvqS/Qy5qX3+9vpbIojaIM/x5kW12QQufgOKcHxvx634hSeqnr15nqjFv2gHPS6/piUDAWERGRMHSg2RVyN3gRjJdlJZIcF0V1GAbjkx2D1LQN+H23GKZ9Q9AYfl930CTnQXb5zP2MG98ALCja4vXtFIxFREQk7Bxo7ichxs7ynKQ5r7XZLDYUplEdhgHx9/vbsCy4cX2+3++9dkkKMXYb+5p6/X7viFJ6mauWeGriL691HoN9v4DcNRCf7vWtFIxFREQk7Oxv7mNtQSp2m3c9fyuL0jh2epDRiVkOYYWAMYY/7G9la2kmOSneHf7yRWyUndUFKYt7xxhc/YwnR6ClyvVxzZPw4ytgchRuuM+nWykYi4iISFiZmHJyuHXAq4N3HpVFaTichoMt/QFcmW+qm/qo6xr2ywjo2WwsTuNAcx9TgZyAF+5KLgHL5mrb9uI34JG7IGsl3POKa+KdDxSMRUREJKwcPz3IxJST9UVz1xd7VBa7rq0Ok7KCkx2DfPKXe0hPiOa6tXkBe87G4nTGJp0cXcxt2+LTIX8D7Pw32PmvUHk3fPSPkLrE51spGIuIiEhY2X/m4J33O8ZZSbEUpseHxQG8Qy39vPc/3sDhhIfv2UZaQkzAnrXxzAG88PiGIGRWXgeWBdf/G7zn373uW3w2BWMREREJKwea+klLiKbYx/ZmlUWhP4C3p6GXO3/8BnFRNn79yW2syvPPpLvZFKbHk50cqzrjS/8O/u4YbPm4KyDPk4KxiIiIhJX9zX2sL0zD8jHgVBal0do/RkeI+vr++VQXH/zJm2QmxvDoJ7dRmpUY8GdalsXGorQF93B+o7ab9/5wF3Vdw35aWZDZoyAxa8G3UTAWERGRsDE64eBEx5BPZRQeG8/UGQd/97S5d4SP/udulqTF8+gntlGY7t9hHueysTiduq5heocn5r54Fvub+nirvoe0+Gg/rizyKBiLiIhI2Djc2o/DabyaeHe2NQWpRNmskATjJw+0MT7l5CcfvjAgrdnOxR/fEBxpGyA/NY70xMDVQ0cCBWMREREJG/ubXe3W5rNjHBdtpyI/JSTB+I8H29hQmEpxZvB2ij3WF7r6Pe9dwAG8mrYBVuen+HFVkUnBWERE5DxwsmOQO374Z/7tT8dCvZQFOdDcR15K3Lx3XSuL0jjQ7Np1Dpbm3hH2N/dz3Tr/T7fzRkJMFOV5yfM+gDc26eBU5zCrCxSMFYxFREQimDGGX77RwI3fe43d9b38+NVa+kbmX2saagea+30a7HG2yqI0hsanONU55MdVndszh9oBAtqveC4bi9Oobuqb1zcEx08P4nAa7RijYCwiIhKxeoYnuOehPXz1d4e4sCSDX/z3LYxPOXlkd1OolzYv/SOT1HUNs8GHwR5n87w3mG3bnj7YxpqCFJZmBr4LxWw2FqXP+xuCI60DANoxRsFYREQkIh1o7uPa+3fyyrFOvnpDBT//6BYuW5nNRaUZPPRGQ1BLCfzlQIsrzC5kx3hZViLJcVELbl/mrbb+UfY29nF9iMooPDwH8OYz6ONI2wBJsVEUBbGTRrhSMBYREYlA//FKLZMOJ4//zcV87NJl2Gyunr8fubiE5t5RXjzaEeIV+u6A++Dd+iXz3zG22SzXoI8gBeNwKKMAKM1KJC0hel51xkdaB6jITz7zv6HFTMFYREQkAtV2DbOxOJ01BW/fXb16dS75qXH8/M/1oVnYAuxv6qM0K5HUhIX10q0sSuP46UFGJqb8tLLZ/fFgO+V5ySzLTgr4s87FM+jD184UTqehpm2ACtUXAwrGIiIiEccYQ33XMCUz1LRG2W3cvXUpr53s4mTHYAhWNz/GmAUfvPOoLErD4TQcahnww8pm1zEwxu6GHq5bG9oyCo+Nxemc6BhiYGzS6/c09Y4wPOHQwTs3BWMREZEIc3pgnNFJB6VZM9eEvv/CImLsNn6xqyHIK5u/nSe6aB8Y45LlCx/rW+k5gNc0/76+3vjT4XaMgevXhbaMwmNjcRrGwIGmfq/fo4N3b6dgLCIiEmFqu1ydB0qzZv7xfWZSLDduyOc3e5oZ9GH3MFSMMXz3+eMsSYvnlsolC75fZlIshenxZ4aFBMrTB9tZnpPEitzkgD7HWxuK0rAs3w7gHWkbwG6zWBkmX0OoKRiLiIhEmPquEQBKZtkxBtchvOEJB4/taQ7WsubttZNd7G3s41OXlxET5Z9osrYg9cxuaCB0DY3zZl0314f40N10KXHRLM9O8qnO+EjrAGXZicRF2wO4ssihYCwiIhJh6ruHiYmyUZAaP+s16wvT2FicxkO7GnCGces2Ywz3P3+C/NQ47thc6Lf7ri5Ioa5rmKHxwBzAe/bwaZyGkE27m83mknSqGnq9btd3RKOg30bBWEREJMLUdg5TkpkwZ3utD28robZrmNdOdgVpZb57/WQ3exp6+evLy4iN8t+u5Rp3zezRtsDsGv/xUBulWYmU54VXCcLWZZkMjk1xuHXuMpLe4Qna+sdUXzyNgrGIiEiEqe8epjRr7ilr163LI9pu8edT3UFYle+MMXz3hePkpcTx3guL/HpvTxu7wwEopxidcLDrVDfvXp2LZYVX799tZZkA7PLi77zG/U3D6vyFdwI5XygYi4iIRBCH09DYPUKJF8E4NsrO0sxEaucxJjgYdp3qZnd9L3+9w7+7xQC5KbFkJMYEpM74QHMfU07DhSUZfr/3QuUkx7E8J8mrb4aOuINxRX547XqHkoKxiIhIBGntG2XC4WSZF8EYoCw7kVNhGIw9tcW5KbG8d7N/d4vBNfBiTUEKh9v835lir3u63Kal6X6/tz9sW5bJ7voeJh3Oc153pHWA3JRYMpNig7Sy8KdgLCIiEkFqu4YBZhzuMZOy7CQaukfmDEnBtqu2m7fqe/jU9rKAdURYnZ/C8fYhv3/text7Kc1KJCMxxq/39ZeLyzIZmXCcGbE9Gx28eycFYxERkQhS7w7GpdneB+Mpp6GxZySQy/JJQ/cwX3viMDnJsbx/S3HAnrO6IIUJh5OTHf7bMTfGsK+xl43FaX67p79dtMxTZzz7ocuxSQcnO4Z08O4sCsYiIiIRpK5rmMQYO9le/vi7LMc1BOSUH8PhQvzpcDs3fu81OgfHue+9lQHtn+vpTOHPA3iNPSN0DU2wqTg8yygAMhJjKM9LZlft7HXGJzuGmHIaHbw7i4KxiIhIBKnrGqYkK9HrbgjL3DvLpzqHA7msOU05nPzL0zV84qE9lGYl8uRn3sW7Vix8/PO5lGYlERdt8+sBPM/wjHAOxuDqTlFV38v4lGPGz2sU9MwUjEVERCJIXZd3rdo8UuKiyUmODekBvK6hcT7w4DHc+9AAACAASURBVJv8x85a7rqomF9/chtFGbNP7fMXu82iPC/Fq56+3trb0EdijJ1VYda/+GwXl2UxPuVkn/ug4NmOtA2QEGNnaRD+HiKJgrGIiEiEmJhy0tw74lMwBledcSiD8XeeO051Ux/fed8GvnnrOr+3ZjuXNQUpHGkbwBj/TP/b29hLZXEa9jmGq4TaltIMbNbs/YyPtA1Qnpc855CYxUbBWEREJEI09ozgNPgejHMSOdUx5Ldw6Kuq+l4uLsvk1o3+G/nsrTUFqQyOTdHcO7rgew2PT3G0fTDsyygAUuOjWVOQOmOdsTGGmtYBlVHMQMFYREQkQng6Ungz3GO6suwkBsam6BqaCMSyzmlwbJLjHYNsLApNmFx95gDewssp9jf34XCaiAjG4Grbtq+xl9GJt9cZv3ysk8HxKdYW6ODd2RSMRUREIkSdOxh7O9zDoyzb3ZkiBOUUB5r7MYaQtTcrz0vGZuGXA3ieet1wbtU23dayTCYdhj0NvWdea+kb5X88Wk15XjLvqVwSwtWFJwVjERGRCFHXPUxaQjRpCb4NljjTsi0EwXifu4vDhqLQhMm4aDtl2Ul+adm2t6GXsuxEn//8Q+XCkgzsNos/u/sZj085+Otf7WXKYfi/d20iPiZ4td6RQsFYREQkQtT72JHCIz8ljvhoO6c6gt+ybW9jHytykkiNjw76sz08B/AWwhjD3sbeiCmjAEiKjWJD4V/qjL/5VA37m/r4tzvWs8z9UwR5OwVjERGRCFHXNUypl6Ogp7PZLJZlJwZ9xzhcpsStLkihrX+MnuH511jXdQ3TOzLJpqWRE4zB1c/4QHM/v3qzgV/sauDjl5Zy7dr8UC8rbCkYi4iIRIDRCQdt/WM+H7zzCEXLtobuEXpHJtkY4l3WNe5DZgs5gLfXXV8cSTvGANuWZeFwGr7y+CEuLEnnC9eWh3pJYU3BWEREJALUd7vKIOZTSgGuYNzSN/qODgWBtK/JVV8c8h3jfFdnioUcwNvb2EtybBQrciKrBOGCpenE2G1kJcXy7x/YRLRd0e9cokK9ABEREZmbp1XbvINxTiLGuEoCgtW/dl+ja0rcipzQTolLT4yhIDVuQQfw9ja4BntE2kCM+Bg733lfJaVZieSmxIV6OWFP3zaIiIhEgNp59jD28LRsq+0KXjnFvsY+NhSFx5S41QWp8z6ANzg2yfHTkTHYYyY3rM/XMA8vKRiLiIhEgPquYbKTY0mKnd8Pe0uzErEsgtaZYnTCQU3bQNiEydUFKdR2Ds2rlGR/Uz9OQ8QdvBPfeR2MLcuyW5a1z7KsJ90fl1qW9aZlWScty3rEsqwY9+sfsSyr07Ksavc/HwvU4kVERBaLunm2avOIi7azJC0+aAfwDrb0M+U0Ia8v9lhTkILTQE2777vGe929mCtD1ItZgseXHePPATXTPv428B1jzHKgF/iraZ97xBhT6f7nQT+sU0REZFGr755fq7bpgtmZYl+YhUnPAbzDLb53ptjT0BvyXswSHF4FY8uyCoEbgAfdH1vAFcBj7kt+DtwSiAWKiIgsdgNjk3QNTVCavfBgXNs5jNNp/LSy2e1r7GNpZgKZSbEBf5Y3CtPjyUiMobrJt2A86XBSVd/DltKMAK1Mwom3O8b3A18AnO6PM4E+Y8yU++NmYPrA7dssyzpgWdZjlmUVzXRDy7LusSyryrKsqs7OzvmsXUREZFHwdKQoWeiOcU4io5MO2gbG/LGsWXmmxG0Mk91iAMuyqCxKo9rdQs5bh1r6GZ5wsK0sM0Ark3AyZzC2LOtGoMMYs8fLe/4BKDHGrAeew7Wb/A7GmB8ZYzYbYzZnZ2d7vWAREZHF5vhpV/nDQmqM4S+dKU51BLacorV/jI7B8bA7rFZZlMapzmH6Rye9fo9nnPLWZQrGi4E3O8aXADdbllUPPIyrhOK7QJplWZ6jsYVAC4AxptsYM+5+/UHgAr+uWEREZBExxvCLXfUUZcRT5odSCiDgdcae+uKNReEXjAEONPd5/Z5dp7pZmZtEVpiUhEhgzRmMjTFfNsYUGmNKgPcDLxpj7gJeAm53X/Zh4AkAy7KmD+C+mbcf2BMREREfvHi0gwPN/XxmxwqiFji1LCsphpS4qCAE4z5io2yU54d2sMfZNriD8f4m74LxxJSTqvpetmm3eNFYyOS7LwIPW5b1DWAf8BP365+1LOtmYAroAT6yoBWKiIgsUsYY7n/+BMUZCdy6acncb5iDZVmU5SQFvJfxvsZe1hemht344dT4aJZlJ1LtZTA+0NzH6KRDZRSLiE/B2BjzMvCy+/e1wJYZrvky8GU/rE1ERGRRe76mg4Mt/fzr7ev9FjLLspPYeTxwh97Hpxwcah3gIxeXBOwZC1FZlMbO450YY3A12ZrdrlOu+uKLFIwXjfD6Vk5EREQAz27xcZZmJnDrxoXvFnuUZSfRMTjOwJj3B9B8UdM2yMSUM6w6Uky3sSiNrqEJmntH57x2V2035XnJZCTGBGFlEg4UjEVERMLQs0dOc7h1gM9csfDa4uk8B/gC1Znij4fasNssNpeEZ9/fSveBwLnKKcanHOxp6FWbtkVGwVhERCTMOJ2u2uLSrERuqSzw671X5roOxB0/PejX+wKMTTp4ZHcT16zJJTs5PLs4lOcnExtlmzMYVzf2MT7l1MG7RUbBWEREJMw8e6SdmrYBPnPFcr/uFgMUZyQQH23naLv/g/Ef9rfSNzLJB7eW+P3e/hJtt7F2SeqcwXhXbTeWBReVKhgvJgrGIiIiYcSzW7wsK5GbN/h3txjAZrNYmZvEMT8HY1e/5QZW5iaxdVl4llF4VBalcailn0mHc9Zrdp3qZk1BCqkJ0UFcmYSagrGIiEgY2dfUy9H2QT51eZnfd4s9VuUlc7R9EGOM3+5Z3dTHwZZ+PritZM5uD6FWWZTG+JSTo20zf3MwNulgX2OfyigWIQVjERE57xljqKrvwen0XxAMlDfregC4ojwnYM8oz0uhZ3iCzqHxuS/20kO7GkiKjfJrB41A8UzAq27qnfHzext6mXA41b94EVIwFhGR896v9zRz+w938fShtlAvZU5v1fWwIieJzACOIC7Pcx3A81c5RdfQOE8eaOO2TUtIil3I7LDgKEyPJzMxhn2z1Bnvqu3GZsGFpeFdEiL+p2AsIiLntZGJKf7Ps8cAePpgeAdjh9NQVd/LlgAHslV+DsaP7G5iwuHkg9tK/HK/QLMsi8qitFkP4O061c26JamkxKm+eLFRMBYRkfPag6/WcXpgnI3Fabx0tJPRCUeolzSrmrYBhsanAh6MM5NiyUqK9UtniimHk1+90cAlyzNZnpPkh9UFR2VRGrWdw/SPvH3QycjEFPub+9iq/sWLkoKxiIictzoGxvjhK6e4fl0ef3f1KkYnHbwSwHHIC+WpLw50MAZXOYU/doxfONpBa/9YWLdom0llsavOeH/z23eN9zT0MukwOni3SCkYi4jIees7zx9n0uHkC9eUc9GyDNITovljGNcZv1XXTXFGAvmp8QF/VnleMsdPD+JY4IHEX+yqpyA1jqsqAndYMBDWF3oO4P0lGJ/sGORfnj5KjN3GhWE6uU8CS8FYRETOS8faB3lkdxMf3FpCSVYi0XYbV6/O5cWaDsanwq+cwhjDW3U9QdktBled8fiUk/ru4Xnfo6VvlNdPdvOBi4oD1louUFLjoynLTqS6qQ+n0/CT1+q4/oHXaB8Y4/t3bSIxAg4Riv9F1v+KRUREvPQvf6whKTaKz1yx/Mxr163NZ3B8itdPdoVwZTM72TFE78hk0IJxeV4KsLADeAfcu63vWpHtlzUFW2VROnsbe7nrwTf5+pNHuGxFFs/ceylXr84N9dIkRBSMRUTkvPPqiU5ePtbJZ65YQXpizJnXL16eSXJcFE8fbA/h6mbmqS++KEjBeEVuEjaLBR3AO9w6gN1mnWn/Fmkqi9PoG5nkQHMf//u29fz4Q5vJSY4L9bIkhPRzAhEROa8YY/iXp49SmB7Phy5e+rbPxUbZuaoil+eOnGbS4SQ6jH78/1ZdD7kpsRRnJATleXHRdkoyEznWPjDvexxu7Wd5dhJx0XY/rix4bl5fQGvfKB/YUkxRkP7cJbyFz38RRERE/KC5d5QjbQN87F2lxEa9M7BduzaP/tFJ3qjtDsHqZvaX+uLMoI5TXrXAzhSHWgdYU5DixxUFV2pCNF+8tlyhWM5QMBYRkfOKZ5rZ5lm6CmxfmU1CjD2syimaekZpHxgLWn2xR3leCg09I4xMTPn83o7BMToHx1mzJDUAKxMJDQVjERE5r+xr7CUu2jZr3WtctJ0d5Tk8e7h9wa3K/OXNOtfudbDqiz1W5SVjDBw/PeTzew+3ukowInnHWORsCsYiInJeqW7qY/2StHO2D7tubR7dwxO85T7wFmpv1fWQnhDN8uzgTo4rPzMa2vc64yPuYLxawVjOIwrGIiJy3hifcnC4ZYCN7qlms9mxKofYKBvPhMmwj7fqe7iwJAObLXj1xQDFGQnER9vn1ZniUEs/SzMTSImLDsDKREJDwVhERM4bNW2DTDicVBadOxgnxkaxfWU2zxxuxxnicor2/jEaukeCXl8MYLNZrMxNmtcBvMMRfvBOZCYKxiIict7Y19gLwMbi9DmvvXp1LqcHxhfUx9cf3qr39C/ODMnzy/NSfA7G/aOTNPaMsKZAB+/k/KJgLCIi5419jX3kpcSRlzr3kIaLl2cBsCvEbdvequsmKTaKivzQDMlYlZdM9/AEnYPjXr/niA7eyXlKwVhERM4b1U19c9YXeyxJi6c4IyHk/YzfrO3hgqXp5zwsGEieA3hHfTiAd7i1H0A7xnLeUTAWEZHzQvfQOI09I14HY4CtyzJ4s7Y7ZG3bdp3q5kTHEDtWZYfk+eDaMQZ8Kqc40jpATnIs2cmxgVqWSEgoGIuIyHmh2j3Yo7Jo7vpij21lmQyMTVHTNv+xyPNljOHbzxwlPzWO928pDvrzPTKTYslKivWp1vpQaz9rNdhDzkMKxiIicl7Y19iH3WaxzofAtm2Zu874VPDLKZ49cprqpj7uvWoFcdHvHF0dTOU+jIYem3RwqnNY9cVyXlIwFhGR80J1Ux/lecnEx3gfMvNS4yjNSgz6ATyH0/CvfzrGsuxEbttUGNRnz6Q8L5njpweZdDjnvPZo+yAOp1EwlvOSgrGIiEQ8h9P4dPBuuq3LMnmrrocpL0Khv/x2bzMnO4b4/LtXhezQ3XQXlmYwPuX0ahKgDt7J+Sz0/zaKiIgs0KnOIYbGp3yqL/bYVpbJ0PgUh1qDU2c8Nung/udPsKEwlWvX5gXlmXO5dEUWsVE2nj3cPue1h1oGSI2PpjA9PggrEwkuBWMREYl41Y2ug3fz2zF2TZwLVp3xr95spKVvlC9eW45lBXcE9GwSYqK4dEU2zx05jTHn7tBxpLWf1fkpYbN2EX9SMBYRkYi3r6mXlLgoSjMTfX5vTnIcy3OSgtLPeHBsku+/dJJLV2SdGTASLt69OpfW/jEOn2PnfNLhpKZ9kLVLVF8s5ycFYxERiXj7GvuoLE7HZpvfLua2ZZnsru/x6vDZQjz4ah09wxN8/ppVAX3OfFxRkYNlwXNHTs96zanOISamnKovlvOWgrGIyCL3RHUL33nu+Jw/Qg9Xw+NTHD89yMYi38soPLaVZTIy4eBAc78fV/ZOf9jfyqUrslhfOP+1BkpWUiwXFKfz7DmC8eEWjYKW85uCsYjIIvb4vmbufaSa775wgkermkK9nHk50NyP00DlPOqLPS4qddUZB7Kcond4gtquYbaVZQbsGQv17jW51LQN0NQzMuPnD7cOEBdtY1l2UpBXJhIcCsYiIovUs4fb+Z+/PsDW0kwuLsvkH39/hNrOoVAvy2f7mnoBqFzALmxmUiyrcpMDegDPs85Nxb53zgiWq1e7umQ8XzPzrvHh1n4q8lOwz7NkRSTcKRiLiCxCr53o4tP/bx/rlqTy4w9v5r73VhITZePeR6oDXmfrb9WNfZRmJZKeGLOg+2wry6SqoYfxKYefVvZ2extck/nWF4ZvfW5pViLLc5JmrDM+cXrQVcu9gJIVkXCnYCwissjsaejh47+oYll2Ij/76IUkxUaRlxrHt29bx4Hmfr7z3PFQL9Frkw4nu2q7ubBk4buwW5dlMjbpZH9TYOqM9zb2UpGfTEJMVEDu7y/vXp3Lm3U99I1MnHltYsrJ5x6uJikuik9dXhbC1YkEloKxiMgicqpziI/8527yUuP4xV9tIS3hL7us167N5/0XFvGDV04FpXWZP+yu72FwbIorynMXfK+tyzKwrMD0M55yOKlu6gvrMgqPq1fn4nAaXjrWcea17zx/nCNtA3zrv60jJzkuhKsTCSwFYxGRReS3e5sZnXDw0F9tmTHg/MONqynJTORvH6mmf2QyBCv0zQs1HcTYbVy6YuE9gdMSYqjIS2FXbZcfVvZ2x04PMjLh4IKl4R+MNxSmkZMce6ac4q26Hn74yinet7mId68Jj0l9IoGiYCwisojsru9lzZJUCtMTZvx8YmwU97+vko7Bce577liQV+e7F492sK0sk8RY/5QnbCxO40jrgN9b1+11T+aLhB1jm83iyopcXjnWSdfQOP/jkWqK0hP4h5tWh3ppIgGnYCwiskiMTznY39THhXPsWm4oSuPi5Vnsru8N0srm51TnEHVdw1xVkeO3ey7PSWJgbIquoYm5L/bBvoZespJiKUyP9+t9A+Xda3IZnnDwgR+/QVv/KN95XyVJfvrmQyScKRiLiCwSh1oGGJ9ysrkkY85ry/OSOdk5xFQYd6h4wd1SbEe5/4Jxmbs/78kO/7at29vYy6biNCwrMtqcXVyWSWKMneOnh/ibHcsjogRExB8UjEVEFomq+h4ANnvRwWFVbjITU07qu4cDvax5e76mg/K85FnLQuZjeY4rGJ/yYz/nrqFx6rtH2BRB4TI2ys4tG5ewpSSDz165ItTLEQka/VxERGSR2F3fy7KsRLKSYue8dlVeMgBH2wdZnpMc6KX5rG9kgj0NvXxqu39bh+WnxpEQY/frjvG+CKovnu6bt67DGBMxu9wi/qAdYxGRRcDpNOxp6PFqtxhcO6d2m8Wx9sEAr2x+XjneicNpuNKP9cUAlmVRlp3k1x3jvY29RIX5YI/ZKBTLYqNgLCKyCNR2DdE7MulVfTFAXLSdkswEjoZpMH6+poOspBg2LGAM9GyW5yRxyo87xnsbellTkEJctN1v9xSRwFAwFhFZBDwdJi70MhiDq5wiHHeMJx1OXjnWwY5VOdhs/t/RLMtOpLV/jOHxqQXfa9Lh5EBzPxsjrIxCZLFSMBYRWQR21/eQlRRDSab3B9VW5abQ2DPCyMTCA6I/VdX3MjA2xZUVC592NxN/HsA72jbI6KQjog7eiSxmCsYiIovA7voeNi/N8Klm1HMA7/hp/7YuW6gXak77bdrdTPwZjPc2unbqNxX7v+RDRPxPwVhE5DzX3j9GU8+o1wfvPMrdwfhY+0AgljVvLxztYKsfp92drTgjEbvN8ktnir2NveSmxLIkLTIGe4gsdgrGIiLnuaoGV/9iX+qLAYozEoiPtofVAbzaAEy7O1tMlI2lmQl+C8abitPV3UEkQigYi4ic56rqe4mPtrO6IMWn99lsFitzk8LqAN6jVc0AXOHHaXczcbVsW9hwk45B1059pPUvFlnMvA7GlmXZLcvaZ1nWk+6PSy3LetOyrJOWZT1iWVaM+/VY98cn3Z8vCczSRUTEG7vre9hYnEa03fe9kHDpTDE+5eDLvz3ID185xXVr8/w67W4my3OSqO8aZnIBI7H3NrgHeyxVfbFIpPDlv5KfA2qmffxt4DvGmOVAL/BX7tf/Cuh1v/4d93UiIhICg2OT1LQNeN2/+Gyr8lLoHp6gc3DczyvzXnv/GO//0Rv811uN/PXlZfz7BzYF/JnLs5OYchoae0bmfY99Tb1E2y3WFETeYA+RxcqrYGxZViFwA/Cg+2MLuAJ4zH3Jz4Fb3L9/j/tj3J+/0lJxlYhISOxr7MNp4EIfD955/OUAXmh2jXfX93Dj917jePsgP7hrE1+4thx7AHoXn63M3ZliIXXGB5v7Kc/TYA+RSOLtjvH9wBcAz8+UMoE+Y4ynuWUzsMT9+yVAE4D78/3u60VEJMiq6nuwWcx7wISnZdvREHSmqKrv4c4fvUFyXBS/+5tLuG5dftCeXZadCMw/GBtjONjSz7oIHAMtspjNGYwty7oR6DDG7PHngy3LuseyrCrLsqo6Ozv9eWsREXHbXd/L6oIUkubZ2iwrKZaspJiQ7Bj/8o0GEmNdoXhFbnJQn50cF01eSty8exk3dI8wODbF+iUKxiKRxJsd40uAmy3LqgcexlVC8V0gzbIsz39pC4EW9+9bgCIA9+dTge6zb2qM+ZExZrMxZnN2dvaCvggRkUCpqu9hYGwy1MuYl0mHk31NvWxeOr/6Yo9VeckcOx3cYDwyMcWzR05z/bo8UuOjg/psj7KcRE7Nc8f4QEs/AGsVjEUiypzB2BjzZWNMoTGmBHg/8KIx5i7gJeB292UfBp5w//737o9xf/5FY4zx66pFRIKga2ic9/7HLr7z3PFQL2VejrQOMDbp9Hmwx9lW5aZw/PQgDmfw/lP+fE0HIxMO3lO5ZO6LA2S5u2XbfP4v7FBLPzFRNlYGeadbRBZmIX2Mvwj8rWVZJ3HVEP/E/fpPgEz3638LfGlhSxQRCY3XTnThNPDMoXacQQyF/lLd5G4XtsA+uuV5yYxNOhfUocFXT+xrIT81ji3z7KbhD2U5SQyNT3F6wPeOHAea+6jITyEmSuMCRCKJT//GGmNeNsbc6P59rTFmizFmuTHmDmPMuPv1MffHy92frw3EwkVEAm3ncdf5h7b+MfY394V4Nb6rbuojJzmW/NS4Bd1nVZBHQ/cOT/DK8U5u3lCALQgdKGazPHt+nSmcTsOhlgHVF4tEIH0rKyIyA2MMO090sX1lNlE2i2cOt4d6ST6rbupjQ1HagscRr8xNxrII2mjopw62MeU03FxZEJTnzWa5u2Wbrwfw6ruHGRqfYp2CsUjEUTAWEZlBTdsgXUPj3Lg+n4uXZ/HMofZ51ZqGSt/IBHVdw1QWLXzqWnyMnaUZCUHrTPH76laW5ySxOt+3Edb+lp0cS3JslM87xgfdB+/Uqk0k8igYi4jM4NUTrjKKy1Zmc+2aPBq6R6hpC/1oZG956os3+iEYQ/BGQ7f0jfJWfQ+3VBYseKd7oSzLoiwnyedgfKC5n9goGyvcO84iEjkUjEVEZrDzRCflecnkpsTx7jW52CwiqpyiuqkPy/LfruWqvBTqu4cZm3T45X6z+X11KwA3bwhdN4rpyrKTfC6lONjSz+qCFKLs+r9YkUijf2tFRM4yOuFgd10vl67IAlxDLi4syeCZQ20hXpn3qpv6WJGTRHKcf3oAl+cl4zRw4vT8RyR744nqFjYWp1GcmRDQ53hreU4SHYPjXveydjgNh1v6dfBOJEIpGIuInOWNum4mHE4uW/mX4UPXrs3j+OmheU9CCyZjDPub+vxSX+wRjNHQx9oHOdo+yC0h7F18Ns8BPG/LKeq6hhiecLCu0H9/9iISPArGIiJn2Xm8k9goGxdO66F77do8wNXTONw19ozQOzJJZdHC+hdPV5KZSGyULaCdKZ6obsFus7h+XX7AnuGrsuxEAK8n4J05eKcdY5GIpGAsInKWV090cdGyTOKi7Wdey0+Np7IoLSKCsefgnT93jO02i1V5yQHbMTbG8ER1K5cszyI7OTYgz5iP4owEYuw2Tnr5k4IDzf3ER9vPBGoRiSwKxiIi07T2jXKyY4jL3PXF0123No+DLf00BXEC3Hzsa+wjPtrOylz/dkWoyEuhpm0wIG3rjrQN0NI3yk3rw2e3GCDKbmNVXjJ7G3q9uv5gcz9rdPBOJGLp31wRkWmmt2k7m6ec4k9h3p2iuqmPdYWpfg9nFfnJ9AxP0DHo+4jkuVTVu4LntrJMv997oS5flc2ehl76RibOeZ3DaTjcOqD+xSIRTMFYRGSance7yEuJm7EH7dLMRCryU8K6nGJ8ysGR1gG/9S+ertw9cKOmzf/lFFUNveSlxLEkLd7v916oy1fl4DSw80TXOa871TnE6KRD9cUiEUzBWETEzeE0vHayi0tXZM06XOK6tXnsaeylY2AsyKvzTk3bIBMOJxsCEIwr8jzB2P8H8Krqe7igJD3kQz1mUlmURnpCNC8f7TjndQeaXQfv1mvHWCRiKRiLiLgdaO6jf3RyxjIKj2vW5GEMvDBHSAqV6kZXSYI/D955pCZEsyQt3u87xi19o7T1j3HhUv910fAnu81i+8psXj7eicM5e331oZZ+EmPslGZp4p1IpFIwFhFx23m8C8uCdy1/58E7j5W5SSxJi+fFcA3GTX3kJMeSnxoXkPuX5yX7PRhX1fcAsHlae7xws6M8h57hCQ409816zYHmPtYUpGK3hd+ut4h4R8FYRMTtpWMdrF+SSnpizKzXWJbFjvJsXj/ZxfhUYMcjz8f+5n4qi9ICVpJQkZ9CbZd/R0NX1feSEGOn3D1EJBxdtiIbmwUvHeuc8fNTDidH2nTwTiTSKRiLiOCabFbd1McNXrQLu6I8h5EJB2/W9gRhZd7rG5mgrmuYyuLATV2ryE/B4TReT4LzRlVDL5uK08O6xVl6Ygwbi9N5aZafFJzsHGJs0qn6YpEIF77/FRIRCaJfVzURZbO4dWPhnNduW5ZFbJQt7MopAjHY42wV+a5d3SN+KqcYGJvkWPsAF4RpffF0O1Zlc7Cln47Bdx68/H9vNmK3WRHxdYjI7BSMRWTRm3Q4+c3eZq4oz/Fq6lp8jJ2LyzJ56VhHQIZdzFd1Ux+WBesLAxeMl2YmEhdt46ifOlPsa+zDaWBzSfgHyh3lOQC8clY5xfHTJVO3YgAAIABJREFUg/zqzUbuuqiYwvSEUCxNRPxEwVhEFr2XjnbQNTTB+y4s8vo9V5Tn0NA9Qm3XcABX5pvqpj5W5iSTFBsVsGe4RkOn+O0A3p76HmwWbCwO/2C8Oj+F3JRYXp4WjI0xfP3JIyTG2Ln3qpUhXJ2I+IOCsYgseo9WNZGTHMv2c7RpO9vlq1y7h7PVnAZTx+AYD7xwgjdquwNaRuGxOj+ZmvYBv+yWVzX0UpGfEtAw7y+WZbFjVQ47j3cy6XACrgObr57o4t6rVpJxjkObIhIZFIxFZFHrGBjjpWOd3HZBoU+Hv4oyEliRkxSyOmNjDHsaevncw/u45Fsvct9zx7moNJNPX7E84M+uyE+hb2SS9gUOOZl0OKlu6mNzBNXlXr4qh8HxKfY09DIx5eQbT9awLDuRD25bGuqliYgfhP+36CIiAfSbvS04nIb3bva+jMLjivIcfvJaHYNjkyTHRQdgdbP7yu8O8f/ebCQ5Noq7ty7lg1uXsiw7OIMlyt0T8I62DZKfOv8RzjVtA4xMOLggjPsXn+1dK7KItlu8dKyDQy391HYN89OPbCY6jDtqiIj3FIxFZNEyxvDrqia2lGRQmpXo8/t3lOfwHztree1EF9etm7vNm790DY3z6O4mbt24hK/fsjboZQjl0zpTeA6kzUdVvWtK34URcPDOIyk2ii2lGfzxYDu9IxNctjKbHavm/2cgIuFF3+KKyKJV1dBLbdcw7/Xh0N10FyxNJzkuipeOBbec4onqVqachk9uLwtJbW5KXDSF6QsfDb2noZclafEL2nUOhR2rcmjsGWFkwsE/3FARsGEqIhJ8CsYismg9sruJpNgorl+XN6/3R9ttXLYym5eOdeJ0Bq9t22/2NLO+MJVVIZwUV56XwtH2+bdsM8awu74nIvv+XuHeJb/romJW5IbvtD4R8Z2CsYgsSoNjkzx1oI2bNuSTEDP/XdcrVuXQOTjO4Vb/tC+by+HWfo60DXD7BXMPIgmk1fnJ1HYOzXs0dHPvKB2D4xHRv/hsy7KT+M2ntvH311eEeiki4mcKxiKyKD15oI3RSce8Dt1Nd/mqbCyLoHWn+M2eFqLtFjetLwjK82ZTkZ+C07iGW8xHVYNrnPbmpZFz8G66C5ZmEBdtD/UyRMTPFIxFZNEZmZjigRdOsHZJyoL7/mYmxbKhMI0Xg1BnPOlw8kR1C1dV5JIe4p65FfmuzhTzrTPeXd9LcmxUSMtBRETOpmAsIovO9148SVv/GP940xq/HJy6fFU2B5r76B+d9MPqZvfysU66hydCXkYBUJyRQEKMnZp5jobeU99LZXEadpsOrolI+FAwFpFF5VTnEA++WsttmwrZ7Kf+uRsK0zAGji3gMJo3HtvTRFbS/2/vvuPjOq87/3+ewaD3DqKwobCAXZREqlCFkizbcYnlxMp6EzvJ2puXE8dpXm92HSfObrLJ7sZOHOeXrJPYsb1xXBLJlsvaKqRYRIpFrAABohAsKMSg9zYzz+8PzNCUCBAD4E4B8H2/XniJmrn3zhldAjp45jznJLBvHhP6wsXlMmwoSl/QinHHwBiXO4fYW54bhshERBZOibGIrBjWWv7ohVqS4uP4z2/f6Nh1g31962+GbwNe78gkB+o9vHdHScwMk9i0KoO6jvmPhn6lbrrs5IlNheEIS0RkwWLjp6uISAT8uOYmRxq7+d0nq8hPT3TsukUZSWQkuRfVvmwuL5xrY8pneSYGyiiCNq3KYHDcS8fA/EZDv1LXSVlOMpUFkZnUJyISKiXGIrIijE56+W8/uMSmVRn8+z1rHL22MYaNqzKoX+TAi7v51zOtbCnJuLXpLRZUF0/HcqG1P+RzRie9vNbcwxObCjUYQ0RijhJjEVkRvnigifaBcf7be6pxh6EUYVNROpdvDoVl0Ef9zUFq2gZ5ZlfsrBbDdGKc4HbxxrW+kM852tjNpNevMgoRiUlKjEVk2WvpHuHvHd5w91YbijIYmfTR1j/m+LW/f74dt8vw7u3R7V38VonuOLaVZHJ6Honxy3WdpCe5uW/d0uxfLCLLmxJjEVmQg5c9/NzfHWN4whvtUOb0b2+04rfwqbdvCNtrBDfgLbSv792cauljS0kmuWnO1UU75Z612dS0DYQ0Ac/vtxyo7+KRqvyY2UAoInI7/WQSkXnrGZ7g9759nlNX+/hxzc1ohzOnl+s62b0mm4L0pLC9RlXhdGLsdMu2KZ+f86397Fodm6OT71mdzZTPcrFtYM5jz7f20z08oTIKEYlZSoxFZN4+871aBsenyE9P5LkzrdEO565a+0apvzkU9mQsLdHN6pwUxztTXGofZMLr5541MZoYB+I6fXXucoqX6zqJcxke3RD9PswiIjNxRzsAEVlavn++nR9e7OCTb9uA12f5y1caaOsfoyQrOdqhzehWz9zN4V+l3FiU7ngv4zPXpxPOXWsWN7o6XHLTElmflxrSBrxX6jzsXpNNVkp0x1mLiMxGK8YiEjLP0Dh/8L0atpdl8R/3rednd5ZgLXz3bFu0Q5vVy3WdrM9PZV1eathfa2NROi3dIyHV24bqjWt9FGcmsSozNn/xANi1Jpsz1/vuOujjRu/0yv2TEfgFRURkoZQYi0hIrLX81+drGJ308Rc/tw13nIvVuSncuzab5860znv6WSQMjU/x+pWeiNW0blyVgd9Ck2fYsWuevd7PzhgtowjavSab3pFJWrpHZj3mlbpOAParvlhEYpgSYxEJyfNn23jpUieffGoDFQXptx5/365SmrtGQtp8FWlHGruZ8ln2byyIyOttLHK2M8XNgXHa+se4J0Y33gXdqjO+SznFK/WeiK3ci4gslBJjEZlT38gkf/RCLbvXZPMrD61703Pv2LqKBLeL587EXjnFy3WdZKXER2zj2prcVJLiXY5twPtpfXFsJ8bl+WlkJsdzZpbEOLhy/6RWi0UkxikxFpE5nWjpYXDcy++/YyNxrjeP8c1MjufJzYW8cL6dSa8/ShHeyee3HKz38NiGgrBMuptJnMtQVZjuWMu2N671keh2sTmGxkDPxOUy7FqdNeuK8eGGwMq9EmMRiXFKjEVkTmdv9JMQ52JLSeaMzz+zq4TekUkONXRFOLLZnbneR9/oFPs3RaaMImhDoXOdKc5c72NbaSYJ7tj/Ub17bQ5NnmH6RyfveO5HNR1kpcSza3VsdtYQEQmK/Z+2IhJ152/0s6k4g0R33IzPP1yZT15aQkz1NH65rhO3y7CvKrI9czeuyqB7eJKuoYlFXWd8ykdN20DMl1EEBctVguUfQedv9PPDCx18YHdZxFbuRUQWSj+lROSufH7LxdYBdpTOvFoMEB/n4l3bi3mlzsPA6FQEo5vdK3Ue9qzPJSMpPqKvu6nImQl4te0DTPlszE68e6vtpVm4XeZNgz6stXz2+7XkpSXyG49XRDE6EZHQKDEWkbtq8gwzMulje9ndPwZ/Zlcpkz4/P7jYHqHIZne1e4Qmz3DEyygANgQS48WWUwQHZiyVxDg5IY7q4ow3Dfr47rk2zlzv5z89vYH0CP+CIiKyEEqMReSuzt/oB2DHHIlxdXEGVYVpMdGd4uVAz9xI9S++XW5aIvnpiYvuTHHmWj+rc1LIT090KLLw27Umm/Ot/Uz5/IxMePmz/1fPttJM3r+rNNqhiYiERImxiNzVudZ+MpLcrM29e/9ZYwzv3FrMmet99I7cuQErkl6p87ChMJ2ynJSovP5iR0Nba3njel/E2sw5ZfeaHMan/NS2D/L/vdpE5+AEf/iualxv6WQiIhKrlBiLyF2du97P9rKskJKbfVV5WAtHGqPXnWJgdIqTV3ujUkYRtLEoncbOYby+hbWva+0bo2toYsl1cQgm8t8928bfH2nhZ3eWLLnkXkRWNiXGIjKrsUkflzuH5iyjCNpWmkVWSjyHG7rDHNnsDl724PNbntgcvZ65G4symPD6udozuqDzl8pgj7cqykyiJCuZfzp2FbfL8KmnN0Y7JBGReVFiLCKzqm0fwOe3bC8NLTGOcxkersznUEMXfr8Nc3Qze/HSTfLTE9kRYszhsHHV4jpTnLnWR2pCHBsK0+c+OMbsXjudzP/6YxUUZSZFORoRkflRYiwiszoX2Hi3rWz2Vm1vta8yj+7hCeocGnIxH+NTPl693MWTmwujWtdaUZBGnMssuM74jet9bC/LWpJ9f5/ZVcoTmwr51beMDhcRWQrm/KlrjEkyxpw0xpw3xtQaYz4bePxxY8wZY0yNMearxhh34PFHjTEDxphzga/PhPtNiEh4nLvRT0lWMgXpoa/8PRIYqBGNcopjzd2MTvp4KoplFACJ7jjW56UuqDPF6KSXuo6hJVubu68qn3/40G6S4mceBiMiEstCWY6YAB631m4HdgBPG2MeAL4KPGut3QJcAz502zlHrLU7Al9/7HjUIhIR51v7Q64vDirISGLTqgwONXjCFNXsXqztJC3Rzd7y3Ii/9lttWpXBpfb5rxifvzFdvrJU+heLiCwncybGdtpw4F/jA18+YNJa2xB4/CXgmfCEKCLR0DM8wY3eMbbPo4wiaF9VHm9c62N4whuGyGbm81teruvk0Q35s46ujqRtpZm09Y/hGRqf13mvX+nBZZbexjsRkeUgpAI2Y0ycMeYc4GE6CT4JuI0xuwOHvB8ou+2UvYHSi/9njKl2NGIRiYjzrdP1xaFuvLvdI1X5TPksx5t7nA5rVudu9NE9PMlT1UURe8272RlotXbuev+8zjve3MPWkkwykzUpTkQk0kJKjK21PmvtDqAUuA+oBp4FPm+MOQkMMb2KDHAGWBMovfhr4LszXdMY81FjzGljzOmuruj1PBWRmZ27MYDLwJaS+a8Y716TQ0pCXETLKV6s7SQ+zvDohvyIvebdVBdnEh9nOHsj9MR4dNLL2Rt97C3PC2NkIiIym3ltebbW9gMHgaettcettQ9ba+8DDgMNgWMGg6UX1tofAfHGmDt+yltrv2St3W2t3Z2fHxv/IxORnzp3o5+qwnRSE93zPjfB7eKB8lwONXRhbfjbtllr+UntTfaW55GRFBsrrUnxcWxalTGvFeNTV/uY8lkeiIEaaRGRlSiUrhT5xpiswJ+TgSeBemNMQeCxROBTwN8F/r3IGGMCf74v8BqR+zxVRBbNWsv5G/PfeHe7R6ryudE7tuAhF/PR5Bnmas9o1LtRvNWOsiwutPbjC7Gn87HmbuLjzK1ewCIiElmhrBivAg4aYy4Ap4CXrLU/AD5pjKkDLgDft9YeCBz/fqDGGHMe+ALTnSui0+lfRBbkWs8oA2NTbF9EYrwv0Lbt0OXwl1O8eKkTgCdjMDEemfTR5Bme+2Cm64t3rs4mJWH+q/QiIrJ4c/70tdZeAHbO8PgngU/O8PgXgS86Ep2IREVwsMdiVozX5KayNjeFw43dfPjB8A57eLH2JtvLsijMiK1JazsDLdfOXu9jQ9Hdp9gNjE5xsW2AT+yvjERoIiIyg6U3VklEwu7cjX6S4+OoLEhb1HUeqcrneHMPE17f3AcvUMfAGOdbB2KujAJgbW4KWSnxt37RuJvXW3qwFh7QxjsRkahRYiwidzjf2s/WksxFjyTeV5XP2JSP01f7HIrsTi8HyijeVh17ibExhu2lWSElxsebe0iKdy1qlV5ERBZHibGIvElD5xAXWwfYuWbxCdqe9bkkxLk41BC+lowvXupkfV4q5fmLW90Olx1lWTR0Ds057ORYczf3rs0hwa0fyyIi0aKfwCJyy4TXxye+eY6slHg+8vD6RV8vNdHNttJMzlwLz4rx8ISX16/08MTmQgLNcGLOztVZ+C1caJ191dgzNE5D5zAPVqiMQkQkmpQYi4TBgfpOjjV1RzuMefvcSw3UdQzyZ+/bRl5aoiPXrC7OoK5jEH+ILcvm43hzD1M+y6NVsdsLPVgacbdyiuCEQPUvFhGJLiXGIg4bnvDy8W+c5UNfOcmpq73RDidkr1/p4UuHr/AL95XxhIMb2aqLMxmZ9HG1Z8SxawYdbugiOT6Oe2K4729WSgLr8lLvOujjeHMP6UluqovnP2VQRESco8RYxGEvnGtnZNJHZnIC//Hrb3CjN/wDLhZrcHyK3/32edbkpPDpd2529NqbizMAqG0fdPS6AIcbu9hbnkuiO87xaztpR1kWZ2/0zzoF8FhzD3vW5xLnis1yEBGRlUKJsYjD/uXkdTYWpfPt/7gHn9/yq189xdD4VLTDuqs/+l4tNwfH+dwHdixoBPTdVBWmEx9nHE+Mr/WMcK1nlH2VsV+Xu6Msi66hCdoHxu947kbvKNd7R1VGISISA5QYizjoYusAF9sG+IX7VrM+P42//eAurnSN8PF/OYvX5492eDP64YUOnjvbxq8/VsGu1c6XJCS4XVQVplPbPuDodQ8HOl3si+H64qCdqwN1xjOUUwTri7XxTkQk+pQYizjoGyevkRTv4r07SwB4oCKPz76nmlcvd/GnP6qPcnR3Gp/y8cc/qGVrSSYff7wibK9TXZxBbfvgrKUEC3GooZvS7GTW5aU6ds1w2ViUQYLbxbkbd3bnONbcTV5awqKHqYiIyOIpMRZxyND4FN871867thWTmRx/6/EP3r+GX35wLV9+rYUfXuiIYoR3+ucT1+kcnOC/vGMT8Ysc5nE31cWZ9I5McnPwzlKChZj0+jne3M2+qvyYbdN2uwS3iy3FGZx9y4qx32851tzD3vK8JfE+RESWOyXGIg753rl2Rid9/Lv7V9/x3KffuZmynGS+88aNKEQ2s9FJL3/7ahMPlOeyN8z1rdXBDXhtztQZn7nex8ikj32VsV9GEbSjLJuLbQNMBUpqWrpHePZLr+MZmuCJTQVRjk5ERECJsYgjrLV848R1Nq3KmHGkb5zL8NTmIo419TAyxwS0SPn68Wt0D0/yO09Whf21Nq3KwBjnOlMcbugizmV4oGLpbFjbuTqLCa+fuo5B/uHIFd7+V4epuznI/3r/Nt69vTja4YmICEqMRRxxvnWASx2D/Lv7V8/6kfgTmwqZ9PlvbRqLpuEJL393qJl9VfnsXpsT9tdLTXSzLjfVsQ14hxu72LU6i4yk+LkPjhHBX5g+/JVT/Pcf1vFgeR4v/84j/NzuMpVRiIjECCXGIg74xolrJMfH8Z4ds6/83bs2m8zkeF6q64xgZDP7p9da6BudishqcdDmwAa8xeoenqCmbZBHlkA3ituVZidTkpWMz2/5/Ae28w8f2k1hRlK0wxIRkds427BUZAUaHJ/i++c7ePf24ruuYLrjXDy+sYAD9R68Pj/uMG52u5uBsSm+dPgK+zcWzFj2ES7VxZn84EIH/aOTZKUkLPg6RxunR20vhTZttzPG8O1f20tKfBzZqQt//yIiEj5aMRZZpOfPtDE2NfOmu7d6cnMh/aNTnL52Z9uuSPny0RYGx738dgRXi+GnG/AuLXLV+HBDFzmpCWxZguOTS7KSlRSLiMQwJcYiizA84eWLB5vYtTqLbaVzJ2r7qvJJiHPx8qXolFP0j07y5aMtPF1dxJaSyCaW1Q6Mhvb7LYcbu3moIg+XxieLiIjDlBiLLMJfH2ika2iCz7yrOqQNVGmJbvaW5/JSXaejwy5C9bXj1xie9PJbT1ZG/LVz0xIpykha1Aa8upuDdA9PLLkyChERWRqUGEtETXh9PHemlbFJX7RDWbSW7hG+fLSFZ3aVzqtW98nNhVzrGaXJMxzG6Gb245qb7F6TzcaijIi/Nvx0At5CHW4I1BdXanyyiIg4T4mxRNRfvNjA73z7PH9/5Eq0Q1m0P/nhJRLiXHzq6Q3zOu+JTYUAvBjhcor2/jEudQyyP/D60VBdnEFz1/CCfzE61tzNxqJ0CtTNQUREwkCJsUTM8eYe/v7IFRLcLr52/BoT3qW7anyooYuX6zx8fH/lvJO0oswktpVm8nKE27YdqPcARHXK2ubiTPwW6m/Of9XYWktN20BEO2mIiMjKosRYImJgbIrf/fY51uWm8jf/bhfdwxO8cK492mEtyJTPzx9/v5a1uSn88oNrF3SNJzcVcu5GP56hcWeDu4tX6jpZnZNCeX5axF7zrRazAa+tf4y+0SmqI7xpUEREVg4lxhIRf/i9GjxDE3z+Azt4YlMBG4vS+cejLVHZgLZYXzt+jeauET79zs0kuuMWdI0nNhdiLbxS53E4upmNTnp5rbmH/ZsKojplrTQ7mczk+AUlxjVt0+dsKY5OfbSIiCx/Sowl7F443853z7Xzm/sr2V6WhTGGX3loHfU3h3itqSfa4c1Lz/AEf/lyA/uq8tm/iJKEjUXplGYnR6xt29HGbia9/lv1zdFijGHzqgwuLaAzRW37AHEuw6ZVSoxFRCQ8lBhLWLX3j/Hp5y+yc3UWH3u0/Nbj79lRTF5aIv9wdGltwvviwSZGJ3185mc2LWrl1RjDE5sKOdrUzeik18EIZ3ag3kN6opt71+aE/bXmUl2cQd3NIaZ8/nmdV9M2QEV+GknxC1ulFxERmYsSYwmrT/3bBbx+y+d/fsebRiAnuuP4pb1rePVyF02eoShGGLqbA+P884nrvG9nCRUF6Yu+3v5NBUx4/Zy6Gt4peH6/5ZV6z/RwEXf0v+WrSzKY9Ppp7ppfu7qa9sGIDyUREZGVJfr/l5Rl61rPCEcau/n445WszUu94/kP3r+aRLeLfzx6NfLBLcDfHGzC77f85n5nhmNsDpQEhLuf8cW2AbqGJhZV+uGk6sAo52DNcCg8g+N0DU2wpURlFCIiEj5KjCVsgu3B3rG1aMbnc9MSed+uEp4700rP8EQkQ5u3tv4xvnnqOj+3u4yynBRHrpmblkh2SnzYE+NX6j24DDy2ITYS4/L8NLJS4jnW3B3yOTWBmmStGIuISDgpMZawOVDvYX1+Kmty71wtDvqVB9cx4fXzzyeuRzCy+fvigUYMht94vMLR65bnp9Ec7sS4rpN71mSTnZoQ1tcJVZzL8GhVPq9e7sLnD60rSU3bIMagjXciIhJWSowlLEYmvJy40svjc6xSVham8+iGfL52/BqT3vltxoqU6z2jfOd0K8/eV0ZJVrKj164oSJt3re18dAyMUds+yOMbo9uN4q0e21hA78gk51v7Qzq+pm2AdXmppCW6wxyZiIisZEqMJSxea+pm0ufn8Y1zf3z/zK5SuocnaOiMzU14XzjQSJzL8OuPObtaDNMrxj0jk/SNTDp+bfhpn+RoTrubySNV+cS5DAdC7ONc2z7IlmKVUYiISHgpMZawOHjZQ1qim90htAfbWhLcjDX/3rbhdqVrmOfOtPLv96yhcJ6jn0NRUTA9hS5cq8YH6j2szkm59TqxIislgXtWZ9+qQ7+b3pFJ2vrHtPFORETCTomxOM5ay8H6Lh6qyAupPdjqnBTSE90LmoYWbl94pZFEdxy/9kj53AcvQDBhDccGvLFJH681dUd92t1sHt9UwKWOQToGxu56XG1w451WjEVEJMyUGIvjLnUMcnNwPKQyCgCXy7CpOONW54FYce5GP987384vPbCG/PTEsLxGcVYyiW5XWBLjY83dTHj97I+x+uKg4N+Pg/Vddz0u2NatWomxiIiEmRJjcdzBwMfjj27MD/mcLcWZ1HUMhtylINyGJ7x84ptnKc5M5mOPOl9bHBTnMqzPD88GvBMtvSTEudi9NtvxazuhsiCN0uxkDtTffSx2TdsAZTnJZKbERygyERFZqZQYi+MOXu5ia0kmBemh1+RWF2cwPuXnShg7NMzHZ1+o5UbvKJ//wA4yk8ObkFUUpNEUhvd9sqWXbaWZMTtC2RjD4xsLeK2ph/Ep36zH1bQPqIxCREQiQomxOKpvZJKz1/t4LMQyiqDg4IZYqDP+4YUOvvNGK7/+WAX3rZt78+Bileen0to3dtfkcL5GJ73UtA1EJP7FeHxjAWNTPo5f6Znx+YGxKa71jGqwh4iIRIQSY3HUoYYu/JaQ64uDyvNTSXS7ot6Zor1/jN9/7gI7yrIcG/08l4qCNKyFK10jjl3z3PV+vH7LvTGeGO9Zn0tyfNyt8pu3uhT4RUmJsYiIRIISY3HUgXoPeWkJbJtnIuOOc7FxVXQ34Pn8lt/+1jl8fstfPbuD+LjIfHuU5wc6UzhYTnHyai/GwD1rYrO+OCgpPo4HK/J4pc6DtXfWlwc7UlQXq1WbiIiEnxJjcYzX5+dQQxePVBXgcs2/PVh1cQa17YMzJkiR8H8ON3OipZc/enf1XcdYO21dXiou42zLtpMtvWwqyiAjKfY3rD2+sYC2/jEaZ3j/NW0DrMpMIi8tPF1BREREbqfEWBxz9kY/A2NT8y6jCNpSnMnQuJcbvXfvaxsOk14/f/1KE2+rLuT995RG9LWT4uMoy0lxrDPFlM/P2ev9MV9fHBT8+/LKDFPwatoH1aZNREQiRomxOOZAvQe3y/BwVd6Czg9+XF4bhXKKC639jE35+NmdpVEZhlGen0azQyvGNW0DjE35uDeEqYOxoCgzic2rMu6oMx6d9NLcNayJdyIiEjFKjMUR1lp+UnOTe9fmLPjj+w1F6cS5TFTqjE+09AJEbZW1oiCNK90jjvRxPnV1+r3cuy6264tvt39TAaev9fLVY1c51tRN5+A4l9oHsVYT70REJHLc0Q5AlodTV/u40j3Cxx5b+DCMpPg4KgvSotKy7URLL1WFaeSkJkT8tWG6K8ek109r3+ii65tPtvSxLi91Xn2ko+1d24v5+uvX+MMXam89Fh83vXKvjhQiIhIpSozFEd88dZ20RDfv2Fq0qOtUF2dyqGG6Q0GkShq8Pj9vXO3lfbsiW1t8u4qCQGcKz/CiEmO/33L6Wi9PbY7NMdCzqSpM5+wfPEnn4ATNXcM0eaa/UhPdFGZo452IiESGEmNZtMHxKX50sYP37SolJWFxf6W2lGTwb2da8QxNUJgRmRXPmvZBRiZ93L8+ejW5wZZtzV3D7N+08KS20TO5mKxPAAAgAElEQVRM/+jUkqkvvp0xhqLMJIoyk3iwYmF16iIiIouhGmNZtBfOtTM+5efZe8sWfa1gB4JIbsA7EZi6Fs0uDlkpCeSlJSy6ZdvJq9GtlRYREVnKlBjLon3r1A02FqWz1YFa0M2BzhQ1bZGrMz7Z0sv6GKjJLc9PW3RifKqll4L0RFbnpDgUlYiIyMqhxFgWpbZ9gIttAzx7b5kjNcFpiW7W5aVGbMXY57ecvNob1TKKoPKCNJq7RhY84MRay6mrvdy3LicqLedERESWOiXGsijfPnWDBLeL9+4sceya1cUZEVsxrusYZGjcy/3rciPyendTkZ/GwNgU3cOTCzq/tW+MjoFxlVGIiIgskBJjWbDxKR/Pn23j6eoislKca3NWXZxJW/8Y/aMLSxDnI9i/OBZWjIOdKRY6Ae9W/+IluPFOREQkFigxlgX7Se1NBse9jmy6u11w0lkk+hmfuNLD6pwUVmUmh/215lJ+W8u2hTjZ0ktGkpsNhelOhiUiIrJiKDGWBfvmyRuU5SSzZ72zZQiR6kzh9/+0JjcWrMpIIiUhbuGJ8dVedq/NweVSfbGIiMhCKDGWBbnWM8LxKz18YHeZ44lYTmoCxZlJYa8zbvQM0zc6xf0xkhi7XIb1+akLKqXoGprgSteIyihEREQWYc7E2BiTZIw5aYw5b4ypNcZ8NvD448aYM8aYGmPMV40x7sDjxhjzBWNMkzHmgjFmV7jfxHIxPuWjY2As2mGE5LkzbbgMvP8eZ8sogqpLMqkJ84rxiZbp/sVOr3gvRkV+Gs0LWDF+9bIHgH1VGowhIiKyUKGsGE8Aj1trtwM7gKeNMQ8AXwWetdZuAa4BHwoc/3agMvD1UeBvHY96GfL7LR/68kme/NxhPIPj0Q5nTkebutlelkVRZnh6/24tyaSle4Sh8amwXB/gxJVeijOTKM2Ofn1xUGVhOu0D4/QMT8zrvAP1Hooykti8KiNMkYmIiCx/cybGdlpwCSs+8OUDJq21DYHHXwKeCfz5PcDXAue9DmQZY1Y5HPey863TNzjR0svwhJf//eLlaIdzVyMTXs7f6A/rSuvW0kysDd+gD2stJ1pir+fv/k0FAPzwYkfI50x6/Rxp7OaxjQUx9V5ERESWmpBqjI0xccaYc4CH6ST4JOA2xuwOHPJ+IPiZeglw47bTWwOPvfWaHzXGnDbGnO7q6lpo/MtC5+A4f/qjOvasz+EjD6/jO2+0UtMWuZHI83X6Wh9ev2VvGBPjbYEpehfb+sNy/SvdI3QPT3B/DJVRAGwsymBjUTrPn20L+ZxTV6d/oXp8Y0EYIxMREVn+QkqMrbU+a+0OoBS4D6gGngU+b4w5CQwxvYocMmvtl6y1u621u/Pz8+cZ9vLyh9+rZcLr53+8bxsf319JTkoCf/z9SwuegBZux5t7iI8z7F6bHbbXyE1LpCQrmQut4fkF4cSVQP/iGNl4d7uf3VnC2ev9XO0eCen4A/UeEtwuHqyIrSRfRERkqZlXVwprbT9wEHjaWnvcWvuwtfY+4DAQLKto46erxzCdTIe+/LXC/LjmJj+uvclvPVHJurxUMpLi+d2nNnDyai8/ungz2uHN6PiVHraXZpGS4A7r62wrzQxbYvz6lR7y0xNZl5calusvxrt3FGMMfPdcaN82B+o97F2fG/b7ISIistyF0pUi3xiTFfhzMvAkUG+MKQg8lgh8Cvi7wCkvAL8U6E6xBxiw1oZeMLmCDIxN8Znv1bBpVQYfeXj9rcc/cG8ZG4vS+dMf1TE+Na+F+LAbGp+ipm2AveXhX53cWprJ9d5RxyfgTXh9HLzsYV9lfkzW5K7KTGbv+ly+e7Ztzk8NrnQN09I9cqs2WURERBYulBXjVcBBY8wF4BTwkrX2B8AnjTF1wAXg+9baA4HjfwRcAZqAvwc+5nzYy8Of/7ie7uEJ/vyZrcTH/fRWxLkMn3nXZtr6x/jHoy1RjPBOp6724gtzfXHQ9tIsAC46XG99pKGboXEvP7M9dveEvndnCVd7Rjl74+411gfqp9u0PbZBibGIiMhihdKV4oK1dqe1dpu1dou19o8Dj3/SWrvJWrvBWvuXtx1vrbW/bq0tt9ZutdaeDucbWKpOX+3lGyeu86sPrWNbIAG83QPleTy1uZC/OdgUU+3bjjf3kBDnYtea8NUXB20JTMBzupzihxc7yEyO56GK2O35+/SWIhLdLr47xya8g5c9VBWmUZaTEqHIREREli9NvosCay3/88eXKUhP5LefrJr1uP/6zk1M+fx84UBjBKO7u+NXetixOouk+Liwv1ZmSjxrc1O40OpcZ4rxKR8vXerk6eqiN63Sx5qMpHie2FzI98+3M+Xzz3jM0PgUJ6708pi6UYiIiDgidjODZexwYzcnr/by8ccr7rphak1uKk9VF/HyJU9MdKgYGJuitn0wImUUQdtKs7jo4IrxoYYuhie8vHNb7JZRBP3sjhL6Rqc43DBzO8Mjjd14/Zb9GwsjHJmIiMjypMQ4wqy1/MWLlynJSuYD966e8/gHy/O4OTjOlRBbd4XTyZZerCUiG++CtpVm0j4wTtfQ/CbBzeaHFzrITonngQi+h4XaV5VPdkr8rD2ND9R7yEyOZ9fqO0txREREZP6UGEfYS5c6udA6wCeeqCTBPfd//mACd6ypO9yhzel4cw+Jbhc7I5iIbQ0M+nBi4Mn4lI+X6zp5essq3DFcRhGU4Hbxru3FvHSp847R2H6/5dXLHh6pyl8S70VERGQp0P9RI8jvt3zupQbW5aXyvp13DAOc0ZrcFEqykjnW3BPm6OZ2/EoP96zJJtEd/vrioOqSTIyB8w7UGR+s9zA66eNnlkAZRdB7d5Yw4fXz45o397S+0DZA9/Ckpt2JiIg4SBMBIugHFzuovznEXz27I+RVPmMMD5Tn8lJdJ36/xeWKTt/dvpFJ6joG+d27bBYMh7RENxX5aY7UGf/gYge5qQkxOe1uNjvLsliTm8JfvNhATdsA28uy2FGWxSt1nbgMPFK1sqdGioiIOEmJcYR4fX7+8qUGNhSm865txfM694GKXL7zRiuXOgbZEigtiLQTLdMr1pGsLw7aWprJkcZurLULHsgxOunlQJ2HZ+4pWVKlB8YY/uS9W/nrA418541Wvnr82q3ndq/JJjs1IYrRiYiILC9KjCPkubNtXOke4f/84j3zXvV9oHy63+6x5u6oJcbHm3tIjo+bsedyuG0ryeS5M210Dk5QlJm0oGscqPcwNuXjnVvn90tJLHioMo+HKvPw+S1NnmHO3+jnYtsAb99SFO3QRERElhUlxhEw6fXzVy83sq00k6c2z7+1VmFGEhUFabzW1MNH95WHIcK5Hb/Sw+612SFtGHTa1kAyfqG1n6LMhSWDP7zQQX56IvctoTKKt4pzGTYUpbOhKJ2fv7cs2uGIiIgsO0vnM+Ul7PiVHtr6x/j1xyoWXArwYHkuJ1t6mfTOPOwhnLqHJ2joHGZPBPsX3666OIM4l1nwBLyRCS8H6j28Y0sRcVGq0RYREZHYp8Q4Ag5d7iLB7WJf5cI3Su0tz2NsyudId4b5Ot4cvfpigKT4OKoK07mwwJZtr9R7mPD6eec8a7tFRERkZVFiHAGHGjzcvy6H5ISFtznbuz4Xl4HXotDP+GC9h6yUeLZHob44aFtJJhdb+xc0AfBgvYfc1AR2r8kOQ2QiIiKyXCyJxNjr87P/L17ly0dboh3KvN3oHaW5a2TRbbUyU+LZUpLJsabI9jP2+S2vNnTxSFV+VMsQtpVl0jc6RWvf2LzOs9ZytKmbByryotbqTkRERJaGJZEYn73RT3PXCF840MjIhDfa4czL4cYuAB7dsPhBDHvLczl7o4/Rycj9Nzjf2k/vSPQHSWwrCW7Am185RZNnmK6hCR6qiP0R0CIiIhJdSyIxfvWyB2Ogf3SKfz5xbe4TYsihy12UZCVTnp+66Gs9WJ7HlM9y6mqfA5GF5tV6T0wMkqgqSiMhzsWFedZYHw2UngRb3omIiIjMZokkxl3sXpPNQxV5fOlwC+NTvmiHFJJJr59jzT08siF/wd0obnfv2hzi4wzHIlhnfOCyh12rs8lKie4giUR3HJuLM3jj2vx+KXitqZs1uSmU5aSEKTIRERFZLmI+MfYMjVPbPsijGwr4jccr6B6e4FunbkQ7rJCcud7H8ITXsdXW5IQ4dq7O5lhzZOqMPYPj1LQN8liUyyiC9qzP5Xxrf8ilJF6fn9ev9Gq1WEREREIS84nx4Ybp1dFHqvK5f10O967N5u8ONUeln+98vXq5C7fL8ICDbc4eLM+jpn2A/tFJx645m4OXPQBRry8O2rM+hymfDXnV+HzrAMMTXh6qUGIsIiIic4v5xPjVyx7y0xOpLs7AGMNvPF5Jx8A4z51pjXZoczrU0MU9a7JJT4p37JoPVuRiLbx+JfyrxgfqPazKTGJjUXrYXysU967NIc5lQn7vwZKTaPVfFhERkaUlphNjn99ypLGbfZU/rdHdV5nHttJM/vZQM15f7K4adw6OU9cxyCMbnN20tr0si0S3i9Nh3oA34fVxtLGbxzYWOFIf7YTURDfbSjNvDRyZy9GmbqqLM8hJjW59tIiIiCwNMZ0Yn7vRz8DYFI/ellwaY/iNxyq41jPKDy50RDG6uzvcMN2mzeluDvFxLjatyqCmfWFT4EJ1qqWPkUkfjzvQZs5Je9fncqF1YM62faOTXs5e71cZhYiIiIQsphPjQ5enW4U9XPnm5OaJTYVsLErniweb8PvnPwktEg41dJGfnsjmVRmOX3tLSQa1bYNhfe8H6j0kuF08EGP9f/esz8Xrt5yeo8741NU+Jn1+HlBiLCIiIiGK7cS4oYsdZVl3tApzuQwfe6yCJs/wrQEasSRYAvJIlTNt2t5qS3EmQxNerveOOn7toIOXPexZn0tKgjtsr7EQu9dm4w6hzvi1pm4S4lzcu1ZjoEVERCQ0MZsY9wxPcKFtYNaJcU9tLiTR7eLVy7GXGJ9vnS4BCddQjC0lmQBhK6do6R6hpXuExx2uj3ZCSoKb7WVZc9YZv9bUzc7VWTGX2IuIiEjsitnE+HBjF9bypvri2yXFx3Hfupxbk81iyaHLXbgMYatvrSpMJz7OUNM2GJbrH6gPtmkrDMv1F2vP+hwutk23YptJ78gkte2Dqi8WERGReYnZxPjQ5S5yUxPYUpw56zEPV+bR5BmmY2AsgpHN7dXLHraXZZEdpm4ICW4XG4rSqWkLz4rxwXoP5fmprM6NzWlxe9fn4fNbTl3tnfH54Gqy6otFRERkPmIyMfb7LYcbu9lXlY/LNXuN7kMV06vJRxtjZ9X4hfPtnG8d4Ge2FYf1dbaWZFLTPoC1zm7AG5nwcqKlJ2aGeszknjXZxMfNXmd8tKmbtEQ320tn/6VKRERE5K1iMjG+2DZA78jkrGUUQRuL0slLS4iZcor2/jE+/fxFdq7O4kN714T1taqLM+kfnaKt39nV8tev9DDls7PWdseC5IQ4dpRl8fosdcbHmrvZsz4Xd1xM/vUWERGRGBWTmcOrl7swBh6uvHti7HIZHqzI47Wm7qi3bfP7Lb/3nfN4/Za//MCOsCdltzbgOVxOcaSxm0S3i3vWxHY3hz3rc7nYNsDQ+NSbHr/WM8K1nlEejLE2cyIiIhL7YjIxPnDZw/bSrJAmlj1UkUf38CT1N4ciENnsvvxaC8eae/jMz2xmTW5q2F9vY1E6cS7nN+AdbermvnU5JMXHOXpdp+1dn4vf8qYJgAOjU3zsn8+Q6HaxP0Y3DoqIiEjsirnEuGNgjPM3+nlyc2iJTXBV+WhT9Nq2Xb45xP/8yWWe2FTIB+4ti8hrJsXHUVmQ5mjLto6BMZo8w3cMVIlFO1dnkxDn4nigznhofIpf+spJGjuH+T+/eE/MbhwUERGR2BVzifGLtZ0APL2lKKTjizKTqChI40iUNuBNeH184ptnyUhy82fPbA3LQI/ZbCnJpKbNuQ14wU2MwU2NsexWnfGVHkYnvfzKP52itm2Av/ngrpiujxYREZHYFXOJ8Y9rblJZkEZ5flrI5zxUkcfJll7Gp3xhjGxmf/1KE/U3h/jzZ7aRl5YY0dfeUpxB9/AknYMTjlzvaFM3eWkJbCxKd+R64banPJeatgE+/JVTvHGtjy/8ws6QP2kQEREReauYSox7RyY5ebU35NXioIcr85jw+nnjWt/cBzvIWsu/vtHKE5sK2L8p8gnZ1lLnNuD5/ZbXmrp5sCLvri3yYsme9Tn4LZy62svnfn4H79i6KtohiYiIyBIWU4nxy3Wd+PyWt1XPLzG+f30ubpeJeDlFk2eYm4PjUUmKATatysCY6fZ2i1V/c4ju4cklNS1u1+psHtuQz/9+/3beu7Mk2uGIiIjIEueOdgC3+0nNTUqykqkuzpjXeWmJbnatzg5swNsYnuBmcDiQiEdrs1pKgpvy/DRqHdiAF9y8OFeLvFiSFB/HV375vmiHISIiIstEzKwYD094OdLYzdNbiha0ge2hyjxq2wfpHZkMQ3QzO9zQxfr8VEqzo9cBYWtJpiMt2440dlNRkEZRZpIDUYmIiIgsPTGTGB+s9zDp88+7vjjooco8rIXXIjQFb3zKx4mWHvZFeYW1ujiDm4PjdA0tfAPe+JSPky29S6qMQkRERMRpMZMY/7j2JnlpiexavbCJa9tKMklPct9qORZub1zrY3zKH/Wev7cm4C2inOL01T4mvH72VSkxFhERkZUrJhJja6dXjJ+qLiRugR0R3HEuHijP5WhTt2N9fe/mcEMX8XGGPeujO3o4WI9du4gNeEeapt/L/es0RllERERWrphIjIcmphid9PH0PLtRvNUD5Xm09Y/RPjDuUGSzO9zYzT1rsklNjO7+xfSkeNblpS6qM8XRxm52ro7+exERERGJpphIjAfHvGQkuRe9+hocTNHYOeREWLPyDI1T1zEYMx0cqoszFrwBr2d4gtr2QR5WfbGIiIiscLGRGI9PsX9TIQnuxYVTVRhMjIedCGtWwTrmaG+8C9pakklb/xh9C+jI8VpzDzC9eVFERERkJYuJxHghQz1mkp2aQF5aIo2e8K4YH2nsJic1Yd79lsNla2AD3rkb/fM+92hjFxlJbraVZjkdloiIiMiSEhOJsTHwSJUzq6+VBWk0hHHF2O+3HGns5qEYGp28a002CW7Xgib/vdbUw97y3AVvehQRERFZLmIiMV6Tk0pyQpwj16oqTKPJMxy2zhTTo5Mnot6m7XZJ8XHcvy6HI41d8zqvtW+Utv6xqHfWEBEREYkFMZEYpyc51w2hojCd4QkvHWHqTHE4kHzuc2iF2yn7KvNp9AzT3j8W8jmnr/YBcO/anHCFJSIiIrJkxERi7KSqgjQAGsLUmeJIYxcbCtMpzIit0ckPB4ZzzGfAycmrvaQnutm0KjZqpUVERESiafklxoHOFE0e5+uMxyZ9nGrpi6kyiqDpZD2RQ/MopzjV0suuNdmqLxYRERFhGSbG050pEsKyYvx6Sw+TPn/MlVEAGGN4uDKfo43d+Pxz11f3jUzS6BnmvnUqoxARERGBZZgYA1QWpIelM8WRhm4S3K6YTSYfrsxjYGwqpCl4p672AqovFhEREQlanolxmDpTHGns4v51OSTFO9NBw2kPV+ZjDBxumLuc4vS1PhLiXGwrzYxAZCIiIiKxb5kmxs53pmjvH6PRMxyT9cVBOakJbCnODKlt28mWXraVZsZski8iIiISacsyMQ52pmh0cAPerTHQMVhffLt9VXmcud7P4PjUrMeMTnqpaRvg3hgtCRERERGJhjkTY2NMkjHmpDHmvDGm1hjz2cDj+40xZ4wx54wxR40xFYHHP2yM6Qo8fs4Y8x/C/SbeqjLQmaLRwQ14hxu7yE9PZEPg2rFqX2U+Pr/lWFPPrMecu96P12+5T/XFIiIiIreEsmI8ATxurd0O7ACeNsbsAf4W+KC1dgfwDeDTt53zLWvtjsDXPzge9RxyAp0pGh3agOfzW442dfNwZR7GxHZrs52rs0lNiLtrOcWpq30YMz1KWkRERESmzZkY22nBDDM+8GUDX8HJEJlAe1giXKCKgjQaPM6sGNe0DdA/OsUjMV5GAZDgdrG3PI/DjV2zbj48dbWXDYXpZCbHRzg6ERERkdgVUo2xMSbOGHMO8AAvWWtPAP8B+JExphX4ReDPbjvlGWPMBWPMvxpjyhyPOgRVhek0dTrTmSK4+vpgRexuvLvdvqo8bvSOca1n9I7nvD4/Z673xWzLOREREZFoCSkxttb6AiUTpcB9xpgtwG8D77DWlgJfAT4XOPz7wFpr7TbgJeCrM13TGPNRY8xpY8zprq7Qp7WFqrIwnaEJLzcHF9+Z4nBjN9XFGeSlJToQWfjtq5xe2T48QzlFbfsgo5M+9S8WEREReYt5daWw1vYDB4G3A9sDK8cA3wIeCBzTY62dCDz+D8A9s1zrS9ba3dba3fn5zpcoVAY6Uyx20MfQ+BRnrvXFfDeK263NS2V1TsqM/YyDgz20YiwiIiLyZqF0pcg3xmQF/pwMPAnUAZnGmKrAYcHHMMasuu30dwcfj7QqhzpTvH6lF6/fxnT/4pk8XJnHseaeO0Zjn7ray+qcFAozkqIUmYiIiEhsCmXFeBVw0BhzATjFdI3xD4CPAP9mjDnPdI3xJwPH/2agrdt54DeBDzsf9txyUhPITV18Z4ojjV0kx8dxzxLr4PDLD64lNdHNz/7Na7x8qRMAay2nr/axe+3Sei8iIiIikeCe6wBr7QVg5wyPPw88P8Pjvw/8viPRLVJl4eI7Uxxu6GLP+hwS3UtrQlxFQTov/MaDfPRrb/CRr5/mk2/bwFObi+gZmVT/YhEREZEZLMvJd0GVBYvrTHG9Z5SrPaNLqr74dqsyk/nOr+3lXduK+Z8/vsxHvnYaQBPvRERERGawrBPjqsK0RXWmONI0vXnt4cqlmRgDJMXH8VfP7uA/Pb2Bqz0j5KYmsD4vNdphiYiIiMScOUsplrKfjoYeZlVm8rzPP9zQRXFmEuX5SzuRNMbwsUcr2FmWjc9vY356n4iIiEg0LOsV45+2bJt/nbHX5+dYUw/7qvKXTSK5tzyXh5ZYdw0RERGRSFnWiXFuWuKCO1Ocu9HP0IR3SZdRiIiIiEjolnViDFBRsLDOFC9d6sTtMlphFREREVkhln1ivHttNhdaB+gYGAv5HGstP6m9yd7yXDKT48MYnYiIiIjEimWfGD9772r81vIvJ66HfE6jZ5irPaM8VV0UxshEREREJJYs+8S4LCeFxzYU8C+nbjDp9Yd0zou1NwF4anNhOEMTERERkRiy7BNjgF/cs4auoQlevHQzpON/UtvJjrIsCjOSwhyZiIiIiMSKFZEY76vKpywnma8fvzbnse39Y1xsG+BtKqMQERERWVFWRGIc5zJ88P41nGjp5fLNu3eouFVGUa0yChEREZGVZEUkxgA/v7uMBLeL//v63VeNX7zUSUVBGuX5aRGKTERERERiwYpJjHNSE/iZbat47kwrwxPeGY/pG5nkREsvb9NqsYiIiMiKs2ISY5jehDcy6eP5s20zPn+g3oPPb3lqs+qLRURERFaaFZUY7yjLYktJBl8/fhVr7R3P/6T2JkUZSWwrzYx8cCIiIiISVSsqMTbG8It71tDQOczJlt43PTc26eNwYxdPVRdijIlShCIiIiISLSsqMQZ49/YSMpPj+cQ3z/H1168x4fUBcLixi/Epv9q0iYiIiKxQKy4xTk6I48sfvpeS7GT+4Ls1PPa/XuX/vn6NH17oIDM5nvvW5UQ7RBERERGJAne0A4iGe9Zk86+/tpcjjd18/uUGPv3dGgDet7OE+LgV97uCiIiIiLBCE2OYrjfeV5XPw5V5HG7s5hsnrvHLD66LdlgiIiIiEiUrNjEOMsbwSFU+j1TlRzsUEREREYki1Q2IiIiIiKDEWEREREQEUGIsIiIiIgIoMRYRERERAZQYi4iIiIgASoxFRERERAAlxiIiIiIigBJjERERERFAibGIiIiICKDEWEREREQEUGIsIiIiIgIoMRYRERERAZQYi4iIiIgASoxFRERERAAlxiIiIiIigBJjERERERFAibGIiIiICKDEWEREREQEAGOtjXYMGGO6gGvRjmMR8oDuaAcRZpnAQLSDiADdy+VD93J5WAn3EXQvlxPdy9i3xlqbP9MTMZEYL3XGmNPW2t3RjiOcjDFfstZ+NNpxhJvu5fKhe7k8rIT7CLqXy4nu5dKmUgoJ1fejHYA4Rvdy+dC9XD50L5cP3cslTImxhMRaq2/0ZUL3cvnQvVw+dC+XD93LpU2JsTO+FO0AxDG6l8uH7uXyoPu4fOheLh/L9l6qxlhEREREBK0Yi4iIiIgASoxnZIwpM8YcNMZcMsbUGmM+EXg8xxjzkjGmMfDP7MDjxhjzBWNMkzHmgjFm123X+nNjTE3g6wPRek8r1QLu5UZjzHFjzIQx5vfecq0vG2M8xpiaaLyXlc6pe2mMSTLGnDTGnA9c57PRek8rkcPfk1eNMReNMeeMMaej8X5WMge/JzcE7mHwa9AY81vRel8rkcPfl58I5Dy1S/E+qpRiBsaYVcAqa+0ZY0w68AbwXuDDQK+19s+MMf8ZyLbWfsoY8w7g48A7gPuBv7LW3m+MeSfwW8DbgUTgVWC/tXYw4m9qhVrAvSwA1gSO6bPW/u/brrUPGAa+Zq3dEun3stI5dS+NMQZItdYOG2PigaPAJ6y1r0fhba04Dn9PXgV2W2uXcj/VJcvJe3nbNeOANuB+a+1Snm+wpDj483UL8E3gPmAS+DHwa9bapoi/qQXSivEMrLUd1tozgT8PAXVACfAe4KuBw77K9F8IAo9/zU57HcgK/CXbDBy21nqttSPABeDpCL6VFW++99Ja67HWngKmZrjWYaA3EnHLnZy6l4Hv0+HAv8YHvp/MGg0AAASESURBVLRCECFOfk9KdIXpXu4HmpUUR5aD93ITcMJaO2qt9QKHgPdF4C04RonxHIwxa4GdwAmg0FrbEXjqJlAY+HMJcOO201oDj50HnjbGpBhj8oDHgLIIhC0zCPFeyhKw2HtpjIkzxpwDPMBL1toTYQpV7sKB70kLvGiMecMYs6wHKsQ6B3++Pgv8i6PBybws8l7WAA8bY3KNMSlMf5K+pPIed7QDiGXGmDTg34DfstYOTn8CO81aa40xd11lsta+aIy5FzgGdAHHAV8YQ5ZZLPZeSuxw4l5aa33ADmNMFvC8MWaLtVa14xHk0PfkQ9batsDHui8ZY+oDn+xIBDn189UYkwC8G/j9sAQqc3Ig76kzxvw58CIwApxjieU9WjGeRaD28N+Af7bWPhd4uDNQIhGsx/EEHm/jzb8RlQYew1r7J9baHdbaJwEDNEQifvmped5LiWFO30trbT9wEJU4RZRT99FaG/w56wGeZ7quUSLI4e/JtwNnrLWdzkcqc3Hw+/IfrbX3WGv3AX0ssbxHifEMAptz/hGos9Z+7ranXgA+FPjzh4Dv3fb4L5lpe4ABa21H4OPa3MA1twHbmP4tSiJkAfdSYpRT99IYkx9YKcYYkww8CdQ7H7HMxMH7mBrYJIQxJhV4iumPcSVCwvDz9RdQGUVUOHkvA5/gYIxZzXR98TecjTa81JViBsaYh4AjwEXAH3j4vzBdb/NtYDVwDfh5a21v4C/UF5ledRoFftlae9oYkwScCZw/yPTOzHOReyeygHtZBJwGMgLHDwObAx8p/QvwKJAHdAJ/aK39xwi+nRXNqXsJrGV6E0kc04sD37bW/nHk3snK5uB9zGN6lRimywK/Ya39k0i9D3H852sqcB1Yb60diOw7EYfv5REgl+mNeb9jrX0lom9mkZQYi4iIiIigUgoREREREUCJsYiIiIgIoMRYRERERARQYiwiIiIiAigxFhEREREBlBiLiMQ0Y8wfGWN+7y7Pv9cYszmSMYmILFdKjEVElrb3Mt3XV0REFkl9jEVEYowx5r8yPWXKA9wA3gAGgI8CCUAT8IvADuAHgecGgGcCl/gbIJ/pgUMfsdZqsp+ISAiUGIuIxBBjzD3APwH3Mz3R7Qzwd8BXrLU9gWP+O9Bprf1rY8w/AT+w1v5r4LlXmJ6y2WiMuR/4H9baxyP/TkRElh53tAMQEZE3eRh43lo7CmCMeSHw+JZAQpwFpAE/eeuJxpg04AHgO9OT6gFIDHvEIiLLhBJjEZGl4Z+A91przxtjPgw8OsMxLqDfWrsjgnGJiCwb2nwnIhJbDgPvNcYkG2PSgXcFHk8HOowx8cAHbzt+KPAc1tpBoMUY83MAZtr2yIUuIrK0KTEWEYkh1tozwLeA88D/A04FnvoD4ATwGnD7ZrpvAp80xpw1xpQznTT/qjHmPFALvCdSsYuILHXafCciIiIiglaMRUREREQAJcYiIiIiIoASYxERERERQImxiIiIiAigxFhEREREBFBiLCIiIiICKDEWEREREQGUGIuIiIiIAPD/A6A/GWhAldLoAAAAAElFTkSuQmCC\n",
            "text/plain": [
              "<Figure size 864x576 with 1 Axes>"
            ]
          },
          "metadata": {
            "tags": [],
            "needs_background": "light"
          }
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "ugOAEU7UWehk",
        "colab_type": "code",
        "colab": {}
      },
      "source": [
        ""
      ],
      "execution_count": 0,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "KLofgKSvWefr",
        "colab_type": "code",
        "colab": {}
      },
      "source": [
        ""
      ],
      "execution_count": 0,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "62J41BHRWea0",
        "colab_type": "code",
        "colab": {}
      },
      "source": [
        ""
      ],
      "execution_count": 0,
      "outputs": []
    }
  ]
}