25_Orbit_MMM.ipynb

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      "provenance": [],
      "authorship_tag": "ABX9TyNY/o2GBGvlQpRFZdBN2KnK",
      "include_colab_link": true
    },
    "kernelspec": {
      "name": "python3",
      "display_name": "Python 3"
    },
    "language_info": {
      "name": "python"
    }
  },
  "cells": [
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "view-in-github",
        "colab_type": "text"
      },
      "source": [
        "<a href=\"https://colab.research.google.com/github/gulabpatel/TimeSeries/blob/main/25_Orbit_MMM.ipynb\" target=\"_parent\"><img src=\"https://colab.research.google.com/assets/colab-badge.svg\" alt=\"Open In Colab\"/></a>"
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "## Documentation :\n",
        "\n",
        "https://forecastegy.com/posts/implementing-uber-marketing-mix-model-with-orbit/"
      ],
      "metadata": {
        "id": "dvqfVEk8dJP7"
      }
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "id": "6hgDAPJ1YnbL"
      },
      "outputs": [],
      "source": [
        "!pip install orbit-ml\n",
        "!pip install nevergrad\n",
        "!apt-get install msttcorefonts -qq"
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "import pandas as pd\n",
        "import numpy as np\n",
        "import matplotlib.pyplot as plt\n",
        "import matplotlib.ticker as mtick \n",
        "from sklearn.preprocessing import MaxAbsScaler \n",
        "from sklearn import metrics\n",
        "import orbit\n",
        "from orbit.models import KTR\n",
        "from orbit.diagnostics.metrics import smape\n",
        "pd.set_option('display.float_format', lambda x: '%.5f' %x)"
      ],
      "metadata": {
        "id": "td2xRIU0dlPa"
      },
      "execution_count": 2,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "# from google.colab import auth\n",
        "# auth.authenticate_user()\n",
        "\n",
        "# import gspread\n",
        "# from google.auth import default\n",
        "# creds, _ = default()\n",
        "# gc = gspread.authorize(creds)\n",
        "\n",
        "\n",
        "\n",
        "# spreadsheet = gc.open_by_url('https://docs.google.com/spreadsheets/d/17bDNWpue0Cf5YFfgOqq0d_3inEnRE4aKcx1PGgOW_mM/edit?usp=sharing')\n",
        "# sheet = spreadsheet.get_worksheet(0)\n",
        "# data = pd.DataFrame(sheet.get_all_records())\n",
        "# data.head(10)"
      ],
      "metadata": {
        "id": "7LexkITjiU76"
      },
      "execution_count": 3,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "! pip install kaggle\n",
        "from google.colab import drive\n",
        "drive.mount('/content/drive')\n",
        "! mkdir ~/.kaggle\n",
        "!cp /content/drive/MyDrive/APIKeys/kaggle.json ~/.kaggle/kaggle.json\n",
        "! chmod 600 ~/.kaggle/kaggle.json\n",
        "\n",
        "! kaggle datasets download saicharansirangi/adanalyse"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "OEQpgrfshJwY",
        "outputId": "c8ca12b8-6c62-4463-e475-8f43631fa51b"
      },
      "execution_count": 4,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "Looking in indexes: https://pypi.org/simple, https://us-python.pkg.dev/colab-wheels/public/simple/\n",
            "Requirement already satisfied: kaggle in /usr/local/lib/python3.9/dist-packages (1.5.13)\n",
            "Requirement already satisfied: certifi in /usr/local/lib/python3.9/dist-packages (from kaggle) (2022.12.7)\n",
            "Requirement already satisfied: requests in /usr/local/lib/python3.9/dist-packages (from kaggle) (2.27.1)\n",
            "Requirement already satisfied: urllib3 in /usr/local/lib/python3.9/dist-packages (from kaggle) (1.26.15)\n",
            "Requirement already satisfied: python-slugify in /usr/local/lib/python3.9/dist-packages (from kaggle) (8.0.1)\n",
            "Requirement already satisfied: python-dateutil in /usr/local/lib/python3.9/dist-packages (from kaggle) (2.8.2)\n",
            "Requirement already satisfied: tqdm in /usr/local/lib/python3.9/dist-packages (from kaggle) (4.65.0)\n",
            "Requirement already satisfied: six>=1.10 in /usr/local/lib/python3.9/dist-packages (from kaggle) (1.16.0)\n",
            "Requirement already satisfied: text-unidecode>=1.3 in /usr/local/lib/python3.9/dist-packages (from python-slugify->kaggle) (1.3)\n",
            "Requirement already satisfied: idna<4,>=2.5 in /usr/local/lib/python3.9/dist-packages (from requests->kaggle) (3.4)\n",
            "Requirement already satisfied: charset-normalizer~=2.0.0 in /usr/local/lib/python3.9/dist-packages (from requests->kaggle) (2.0.12)\n",
            "Mounted at /content/drive\n",
            "Downloading adanalyse.zip to /content\n",
            "  0% 0.00/757k [00:00<?, ?B/s]\n",
            "100% 757k/757k [00:00<00:00, 42.8MB/s]\n"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "! unzip adanalyse.zip"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "MfXXrPaKiCkt",
        "outputId": "b658faf6-4c76-40c1-fb21-5a7fcf5ca701"
      },
      "execution_count": 5,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "Archive:  adanalyse.zip\n",
            "  inflating: Sr Advertising Analyst Work Sample (1).xlsx  \n"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "data = pd.read_excel('/content/Sr Advertising Analyst Work Sample (1).xlsx')\n",
        "data"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 1000
        },
        "id": "WXES2O8-jx7N",
        "outputId": "64be040e-3bad-43d0-92c5-8b5013e1905d"
      },
      "execution_count": 6,
      "outputs": [
        {
          "output_type": "execute_result",
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              "           Date Brand Alias       Ad group alias ASIN/SKU Alias Marketplace  \\\n",
              "0    2021-10-17     Brand 1  Brand 1 Ad Group 10        ASIN414     Walmart   \n",
              "1    2021-10-17     Brand 1  Brand 1 Ad Group 11        ASIN385     Walmart   \n",
              "2    2021-10-17     Brand 1  Brand 1 Ad Group 11        ASIN389     Walmart   \n",
              "3    2021-10-17     Brand 1  Brand 1 Ad Group 13        ASIN377     Walmart   \n",
              "4    2021-10-17     Brand 1  Brand 1 Ad Group 13        ASIN399     Walmart   \n",
              "...         ...         ...                  ...            ...         ...   \n",
              "9581 2022-01-11     Brand 2   Brand 2 Ad Group 2        ASIN508      Amazon   \n",
              "9582 2022-01-11     Brand 2   Brand 2 Ad Group 3        ASIN512      Amazon   \n",
              "9583 2022-01-11     Brand 2   Brand 2 Ad Group 3        ASIN516      Amazon   \n",
              "9584 2022-01-11     Brand 2   Brand 2 Ad Group 3        ASIN520      Amazon   \n",
              "9585 2022-01-11     Brand 2   Brand 2 Ad Group 5        ASIN619      Amazon   \n",
              "\n",
              "      Impressions  Clicks    Spend     Sales  Orders  Units  \\\n",
              "0              33       0  0.00000   0.00000       0      0   \n",
              "1               0       0  0.00000   0.00000       0      0   \n",
              "2               0       0  0.00000   0.00000       0      0   \n",
              "3             380       8  2.34000   0.00000       0      0   \n",
              "4            3805       7  6.68400   0.00000       0      0   \n",
              "...           ...     ...      ...       ...     ...    ...   \n",
              "9581         4639      10  7.36000   0.00000       0      0   \n",
              "9582        15336      49 33.79000 638.73750       6      6   \n",
              "9583         4811       6  3.66000   0.00000       0      0   \n",
              "9584        22838      36 19.57000 294.95000       4      4   \n",
              "9585         1826       3  1.99000 876.42500       3      6   \n",
              "\n",
              "      Advertised Units sold  Other SKU units sold  Advertised SKU Sales  \\\n",
              "0                         0                     0               0.00000   \n",
              "1                         0                     0               0.00000   \n",
              "2                         0                     0               0.00000   \n",
              "3                         0                     0               0.00000   \n",
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              "9584                      3                     1             158.97000   \n",
              "9585                      0                     6               0.00000   \n",
              "\n",
              "      Other SKU sales  \n",
              "0             0.00000  \n",
              "1             0.00000  \n",
              "2             0.00000  \n",
              "3             0.00000  \n",
              "4             0.00000  \n",
              "...               ...  \n",
              "9581          0.00000  \n",
              "9582        455.00000  \n",
              "9583          0.00000  \n",
              "9584         76.99000  \n",
              "9585        701.14000  \n",
              "\n",
              "[9586 rows x 15 columns]"
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              "\n",
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              "          const element = document.querySelector('#df-31640c4a-0da4-47f1-8c43-a5b7c80b4760');\n",
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              "                                                     [key], {});\n",
              "          if (!dataTable) return;\n",
              "\n",
              "          const docLinkHtml = 'Like what you see? Visit the ' +\n",
              "            '<a target=\"_blank\" href=https://colab.research.google.com/notebooks/data_table.ipynb>data table notebook</a>'\n",
              "            + ' to learn more about interactive tables.';\n",
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              "  "
            ]
          },
          "metadata": {},
          "execution_count": 6
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "#Convert the data format\n",
        "data['Date'] = pd.to_datetime(data['Date'], format='%b %d, %Y')"
      ],
      "metadata": {
        "id": "jY8dFOMhkSPp"
      },
      "execution_count": 7,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "data[[\"Impressions\",\"Spend\", \"Sales\"]].dtypes"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "ms7Cim1Bkj4j",
        "outputId": "30380e7d-fe0b-4f79-93df-98d88b5b1ffb"
      },
      "execution_count": 8,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "Impressions      int64\n",
              "Spend          float64\n",
              "Sales          float64\n",
              "dtype: object"
            ]
          },
          "metadata": {},
          "execution_count": 8
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "agg_data = data.groupby([\"Date\", \"Ad group alias\"])[[\"Impressions\",\"Spend\", \"Sales\",]].sum()\n",
        "agg_data = agg_data.drop([\"Brand 1 Ad Group 12\"], axis=0, level=1) # zero cost train\n",
        "\n",
        "media_data_raw = agg_data['Impressions'].unstack().fillna(0)\n",
        "costs_raw = agg_data['Spend'].unstack()\n",
        "sales_raw = agg_data['Sales'].reset_index().groupby(\"Date\").sum()\n",
        "media_data_raw[\"Sales\"] = sales_raw\n",
        "\n",
        "media_data_raw = media_data_raw.reset_index()\n",
        "media_data_raw.head()"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 473
        },
        "id": "njXcC74Bk6ZS",
        "outputId": "9437596d-ee56-41e4-c258-74e2080db5c6"
      },
      "execution_count": 9,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "<ipython-input-9-e00ddf7b1fa9>:6: FutureWarning: The default value of numeric_only in DataFrameGroupBy.sum is deprecated. In a future version, numeric_only will default to False. Either specify numeric_only or select only columns which should be valid for the function.\n",
            "  sales_raw = agg_data['Sales'].reset_index().groupby(\"Date\").sum()\n"
          ]
        },
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "Ad group alias       Date  Brand 1 Ad Group 1  Brand 1 Ad Group 10  \\\n",
              "0              2021-10-17          3317.00000             33.00000   \n",
              "1              2021-10-18          1501.00000             30.00000   \n",
              "2              2021-10-19           771.00000             63.00000   \n",
              "3              2021-10-20           958.00000             70.00000   \n",
              "4              2021-10-21          1841.00000             59.00000   \n",
              "\n",
              "Ad group alias  Brand 1 Ad Group 11  Brand 1 Ad Group 13  Brand 1 Ad Group 2  \\\n",
              "0                       50966.00000           9519.00000         40265.00000   \n",
              "1                       39424.00000          14015.00000         18545.00000   \n",
              "2                      236572.00000          16543.00000         13078.00000   \n",
              "3                      277649.00000          24590.00000         10743.00000   \n",
              "4                      251202.00000          14236.00000         10799.00000   \n",
              "\n",
              "Ad group alias  Brand 1 Ad Group 3  Brand 1 Ad Group 4  Brand 1 Ad Group 5  \\\n",
              "0                          0.00000        142704.00000            55.00000   \n",
              "1                          0.00000        389663.00000            53.00000   \n",
              "2                          0.00000        810070.00000            58.00000   \n",
              "3                          0.00000        821705.00000            60.00000   \n",
              "4                          0.00000       1241204.00000            72.00000   \n",
              "\n",
              "Ad group alias  Brand 1 Ad Group 6  ...  Brand 1 Ad Group 8  \\\n",
              "0                         94.00000  ...           248.00000   \n",
              "1                        121.00000  ...           283.00000   \n",
              "2                        122.00000  ...           245.00000   \n",
              "3                        111.00000  ...           234.00000   \n",
              "4                        150.00000  ...           394.00000   \n",
              "\n",
              "Ad group alias  Brand 1 Ad Group 9  Brand 2 Ad Group 1  Brand 2 Ad Group 2  \\\n",
              "0                      23321.00000        276437.00000        424883.00000   \n",
              "1                      28321.00000        313907.00000        492277.00000   \n",
              "2                      26105.00000        296159.00000        475287.00000   \n",
              "3                          0.00000        314952.00000        641517.00000   \n",
              "4                          0.00000        392621.00000        412898.00000   \n",
              "\n",
              "Ad group alias  Brand 2 Ad Group 3  Brand 2 Ad Group 4  Brand 2 Ad Group 5  \\\n",
              "0                     135366.00000         41905.00000          9871.00000   \n",
              "1                     119675.00000         46550.00000         19920.00000   \n",
              "2                     191075.00000             0.00000          9253.00000   \n",
              "3                      98214.00000         61017.00000         18669.00000   \n",
              "4                      88922.00000        121214.00000         12977.00000   \n",
              "\n",
              "Ad group alias  Brand 1 Ad Group 14  Brand 2 Ad Group 6       Sales  \n",
              "0                           0.00000             0.00000 28195.05750  \n",
              "1                       50619.00000             0.00000 25490.77500  \n",
              "2                       43019.00000             0.00000 34054.93750  \n",
              "3                       45642.00000             0.00000 30204.40500  \n",
              "4                       69165.00000             0.00000 34461.20500  \n",
              "\n",
              "[5 rows x 21 columns]"
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              "      <td>63.00000</td>\n",
              "      <td>236572.00000</td>\n",
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              "      <td>810070.00000</td>\n",
              "      <td>58.00000</td>\n",
              "      <td>122.00000</td>\n",
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              "      <td>475287.00000</td>\n",
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              "      <td>60.00000</td>\n",
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          },
          "metadata": {},
          "execution_count": 9
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "date_col = \"Date\"\n",
        "response_col = \"Sales\"\n",
        "\n",
        "regressor_col = ['Brand 1 Ad Group 1', 'Brand 1 Ad Group 10',\n",
        "       'Brand 1 Ad Group 11', 'Brand 1 Ad Group 13', 'Brand 1 Ad Group 2',\n",
        "       'Brand 1 Ad Group 3', 'Brand 1 Ad Group 4', 'Brand 1 Ad Group 5',\n",
        "       'Brand 1 Ad Group 6', 'Brand 1 Ad Group 7', 'Brand 1 Ad Group 8',\n",
        "       'Brand 1 Ad Group 9', 'Brand 2 Ad Group 1', 'Brand 2 Ad Group 2',\n",
        "       'Brand 2 Ad Group 3', 'Brand 2 Ad Group 4', 'Brand 2 Ad Group 5',\n",
        "       'Brand 1 Ad Group 14', 'Brand 2 Ad Group 6']\n",
        "split_point = -28 # 28 days to end of data\n",
        "\n",
        "media_data_train = media_data_raw.iloc[:split_point].copy()\n",
        "media_data_test = media_data_raw.iloc[split_point:].copy()\n",
        "\n",
        "scaler = MaxAbsScaler() # better than standard\n",
        "media_data_train.loc[:, regressor_col] = scaler.fit_transform(media_data_train.loc[:, regressor_col])\n",
        "media_data_test.loc[:, regressor_col] = scaler.transform(media_data_test.loc[:, regressor_col])\n",
        "\n",
        "scaler_y = MaxAbsScaler()\n",
        "media_data_train.loc[:, response_col] = scaler_y.fit_transform(media_data_train.loc[:, response_col].values.reshape(-1,1))\n",
        "\n",
        "media_names = media_data_raw.columns"
      ],
      "metadata": {
        "id": "7KsIHVLZmsfZ"
      },
      "execution_count": 10,
      "outputs": []
    },
    {
      "cell_type": "markdown",
      "source": [
        "## Building the Model\n",
        "\n",
        "\n",
        "We need to pass a list of columns to use as regressors (inputs).\n",
        "\n",
        "If we don’t, Orbit will only create a simple time series model with the target variable and date, which is not our goal here.\n",
        "\n",
        "We can specify seasonality. Here I put 7 to allow for weekday seasonality, but if we had more data, we could put 365.25 as they suggest in the documentation, to capture yearly seasonality effects (like Christmas and Black Friday)."
      ],
      "metadata": {
        "id": "oJtXrxcmoLu5"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "ktr_ = KTR(\n",
        "    response_col=response_col,\n",
        "    date_col=date_col,\n",
        "    regressor_col=regressor_col,\n",
        "    #regressor_sign=[\"+\"]*len(regressor_col), # strictly positive signs hurt MAPE but can be useful to interpret?\n",
        "    seed=2021,\n",
        "    seasonality=[7], # cant use 365 seasonality because have only 59 rows\n",
        "    estimator='pyro-svi',\n",
        "    n_bootstrap_draws=1e4,\n",
        "    num_steps=301,\n",
        "    message=100)\n",
        "\n",
        "ktr_.fit(media_data_train)\n",
        "\n",
        "predicted_df = ktr_.predict(df=media_data_test)"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "ge55WB3amsbt",
        "outputId": "d6e7b50d-38c2-451e-9b22-0f8b08830281"
      },
      "execution_count": 11,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "2023-04-27 08:45:33 - orbit - INFO - Optimizing (PyStan) with algorithm: LBFGS.\n",
            "INFO:orbit:Optimizing (PyStan) with algorithm: LBFGS.\n",
            "2023-04-27 08:45:33 - orbit - INFO - First time in running stan model:ktrlite. Expect 3 - 5 minutes for compilation.\n",
            "INFO:orbit:First time in running stan model:ktrlite. Expect 3 - 5 minutes for compilation.\n",
            "2023-04-27 08:46:23 - orbit - INFO - Using SVI (Pyro) with steps: 301, samples: 100, learning rate: 0.1, learning_rate_total_decay: 1.0 and particles: 100.\n",
            "INFO:orbit:Using SVI (Pyro) with steps: 301, samples: 100, learning rate: 0.1, learning_rate_total_decay: 1.0 and particles: 100.\n",
            "2023-04-27 08:46:23 - orbit - INFO - step    0 loss = 277.37, scale = 0.094672\n",
            "INFO:orbit:step    0 loss = 277.37, scale = 0.094672\n",
            "2023-04-27 08:46:25 - orbit - INFO - step  100 loss = 23.657, scale = 0.14175\n",
            "INFO:orbit:step  100 loss = 23.657, scale = 0.14175\n",
            "2023-04-27 08:46:26 - orbit - INFO - step  200 loss = 31.728, scale = 0.13414\n",
            "INFO:orbit:step  200 loss = 31.728, scale = 0.13414\n",
            "2023-04-27 08:46:28 - orbit - INFO - step  300 loss = 25.12, scale = 0.1401\n",
            "INFO:orbit:step  300 loss = 25.12, scale = 0.1401\n"
          ]
        }
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "## Estimating Media Effects\n",
        "\n",
        "There are two big applications I see for marketing mix models: understanding ROI/media effects and optimizing advertising budgets.\n",
        "\n",
        "Thinking like an ad buyer, the first seems much more important, while the second is better taken as a suggestion of where I should put my advertising dollars.\n",
        "\n",
        "\n",
        "\n",
        "One very cool feature of Orbit is to plot the regression coefficients over time."
      ],
      "metadata": {
        "id": "PVDFJhXSpDIH"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "ktr_.plot_regression_coefs(figsize=(10, 30), include_ci=True)"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 1000
        },
        "id": "rRKKCCVLpWEp",
        "outputId": "ded3b602-8c7e-4cbb-f12f-e4fa356e467c"
      },
      "execution_count": 12,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "WARNING:matplotlib.font_manager:findfont: Generic family 'sans-serif' not found because none of the following families were found: Arial\n",
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            "WARNING:matplotlib.font_manager:findfont: Generic family 'sans-serif' not found because none of the following families were found: Arial\n",
            "WARNING:matplotlib.font_manager:findfont: Generic family 'sans-serif' not found because none of the following families were found: Arial\n",
            "WARNING:matplotlib.font_manager:findfont: Generic family 'sans-serif' not found because none of the following families were found: Arial\n",
            "WARNING:matplotlib.font_manager:findfont: Generic family 'sans-serif' not found because none of the following families were found: Arial\n",
            "WARNING:matplotlib.font_manager:findfont: Generic family 'sans-serif' not found because none of the following families were found: Arial\n",
            "WARNING:matplotlib.font_manager:findfont: Generic family 'sans-serif' not found because none of the following families were found: Arial\n",
            "WARNING:matplotlib.font_manager:findfont: Generic family 'sans-serif' not found because none of the following families were found: Arial\n",
            "WARNING:matplotlib.font_manager:findfont: Generic family 'sans-serif' not found because none of the following families were found: Arial\n",
            "WARNING:matplotlib.font_manager:findfont: Generic family 'sans-serif' not found because none of the following families were found: Arial\n",
            "WARNING:matplotlib.font_manager:findfont: Generic family 'sans-serif' not found because none of the following families were found: Arial\n",
            "WARNING:matplotlib.font_manager:findfont: Generic family 'sans-serif' not found because none of the following families were found: Arial\n",
            "WARNING:matplotlib.font_manager:findfont: Generic family 'sans-serif' not found because none of the following families were found: Arial\n",
            "WARNING:matplotlib.font_manager:findfont: Generic family 'sans-serif' not found because none of the following families were found: Arial\n",
            "WARNING:matplotlib.font_manager:findfont: Generic family 'sans-serif' not found because none of the following families were found: Arial\n",
            "WARNING:matplotlib.font_manager:findfont: Generic family 'sans-serif' not found because none of the following families were found: Arial\n",
            "WARNING:matplotlib.font_manager:findfont: Generic family 'sans-serif' not found because none of the following families were found: Arial\n",
            "WARNING:matplotlib.font_manager:findfont: Generic family 'sans-serif' not found because none of the following families were found: Arial\n",
            "WARNING:matplotlib.font_manager:findfont: Generic family 'sans-serif' not found because none of the following families were found: Arial\n",
            "WARNING:matplotlib.font_manager:findfont: Generic family 'sans-serif' not found because none of the following families were found: Arial\n",
            "WARNING:matplotlib.font_manager:findfont: Generic family 'sans-serif' not found because none of the following families were found: Arial\n",
            "WARNING:matplotlib.font_manager:findfont: Generic family 'sans-serif' not found because none of the following families were found: Arial\n",
            "WARNING:matplotlib.font_manager:findfont: Generic family 'sans-serif' not found because none of the following families were found: Arial\n",
            "WARNING:matplotlib.font_manager:findfont: Generic family 'sans-serif' not found because none of the following families were found: Arial\n",
            "WARNING:matplotlib.font_manager:findfont: Generic family 'sans-serif' not found because none of the following families were found: Arial\n",
            "WARNING:matplotlib.font_manager:findfont: Generic family 'sans-serif' not found because none of the following families were found: Arial\n",
            "WARNING:matplotlib.font_manager:findfont: Generic family 'sans-serif' not found because none of the following families were found: Arial\n",
            "WARNING:matplotlib.font_manager:findfont: Generic family 'sans-serif' not found because none of the following families were found: Arial\n",
            "WARNING:matplotlib.font_manager:findfont: Generic family 'sans-serif' not found because none of the following families were found: Arial\n",
            "WARNING:matplotlib.font_manager:findfont: Generic family 'sans-serif' not found because none of the following families were found: Arial\n",
            "WARNING:matplotlib.font_manager:findfont: Generic family 'sans-serif' not found because none of the following families were found: Arial\n",
            "WARNING:matplotlib.font_manager:findfont: Generic family 'sans-serif' not found because none of the following families were found: Arial\n",
            "WARNING:matplotlib.font_manager:findfont: Generic family 'sans-serif' not found because none of the following families were found: Arial\n",
            "WARNING:matplotlib.font_manager:findfont: Generic family 'sans-serif' not found because none of the following families were found: Arial\n",
            "WARNING:matplotlib.font_manager:findfont: Generic family 'sans-serif' not found because none of the following families were found: Arial\n",
            "WARNING:matplotlib.font_manager:findfont: Generic family 'sans-serif' not found because none of the following families were found: Arial\n",
            "WARNING:matplotlib.font_manager:findfont: Generic family 'sans-serif' not found because none of the following families were found: Arial\n",
            "WARNING:matplotlib.font_manager:findfont: Generic family 'sans-serif' not found because none of the following families were found: Arial\n",
            "WARNING:matplotlib.font_manager:findfont: Generic family 'sans-serif' not found because none of the following families were found: Arial\n",
            "WARNING:matplotlib.font_manager:findfont: Generic family 'sans-serif' not found because none of the following families were found: Arial\n",
            "WARNING:matplotlib.font_manager:findfont: Generic family 'sans-serif' not found because none of the following families were found: Arial\n",
            "WARNING:matplotlib.font_manager:findfont: Generic family 'sans-serif' not found because none of the following families were found: Arial\n",
            "WARNING:matplotlib.font_manager:findfont: Generic family 'sans-serif' not found because none of the following families were found: Arial\n",
            "WARNING:matplotlib.font_manager:findfont: Generic family 'sans-serif' not found because none of the following families were found: Arial\n",
            "WARNING:matplotlib.font_manager:findfont: Generic family 'sans-serif' not found because none of the following families were found: Arial\n",
            "WARNING:matplotlib.font_manager:findfont: Generic family 'sans-serif' not found because none of the following families were found: Arial\n",
            "WARNING:matplotlib.font_manager:findfont: Generic family 'sans-serif' not found because none of the following families were found: Arial\n",
            "WARNING:matplotlib.font_manager:findfont: Generic family 'sans-serif' not found because none of the following families were found: Arial\n",
            "WARNING:matplotlib.font_manager:findfont: Generic family 'sans-serif' not found because none of the following families were found: Arial\n",
            "WARNING:matplotlib.font_manager:findfont: Generic family 'sans-serif' not found because none of the following families were found: Arial\n",
            "WARNING:matplotlib.font_manager:findfont: Generic family 'sans-serif' not found because none of the following families were found: Arial\n",
            "WARNING:matplotlib.font_manager:findfont: Generic family 'sans-serif' not found because none of the following families were found: Arial\n",
            "WARNING:matplotlib.font_manager:findfont: Generic family 'sans-serif' not found because none of the following families were found: Arial\n",
            "WARNING:matplotlib.font_manager:findfont: Generic family 'sans-serif' not found because none of the following families were found: Arial\n",
            "WARNING:matplotlib.font_manager:findfont: Generic family 'sans-serif' not found because none of the following families were found: Arial\n",
            "WARNING:matplotlib.font_manager:findfont: Generic family 'sans-serif' not found because none of the following families were found: Arial\n",
            "WARNING:matplotlib.font_manager:findfont: Generic family 'sans-serif' not found because none of the following families were found: Arial\n",
            "WARNING:matplotlib.font_manager:findfont: Generic family 'sans-serif' not found because none of the following families were found: Arial\n",
            "WARNING:matplotlib.font_manager:findfont: Generic family 'sans-serif' not found because none of the following families were found: Arial\n",
            "WARNING:matplotlib.font_manager:findfont: Generic family 'sans-serif' not found because none of the following families were found: Arial\n",
            "WARNING:matplotlib.font_manager:findfont: Generic family 'sans-serif' not found because none of the following families were found: Arial\n"
          ]
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 1000x3000 with 20 Axes>"
            ],
            "image/png": 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24GRqJ9puNpvDsh7SFYNlihLryltZWVm7yty2bVvUtrvvvhv/+7//i1tvvTV05T1WKlBHGThwIFQ1/E/g22+/haZpUftGjrnqLnbu3Bnz6nBLHTx4EJ999lno/4MHD47aJ957k6j37MILL4yaofH48eN46KGHElJ+a0Refa+trcX3338ftd/3338flhoGAEOHDg37v9VqDft/eXl51JX6vXv34siRI22qa6zepR9++CEsNQyIfUyJqGOxnWU7G8R2Nhzb2cQaP3487HZ72LZYQz4OHTqE/fv3h2378Y9/fMKLG+mAwTKFqa6uxrvvvhu1vb1pGLGu5jkcjrD/Hzp0CM8//3y7nqc1XC5X1BipQ4cOYfny5WHbjh49ipdeeqnT6pVILV0/szlNU8RGjBgRlfb01VdfRfVm/Otf/4paPqGtMjIyMG/evKjtCxcuxPz58zvkync8F1xwQdS2BQsWRG175JFHTvjYyL8pj8eDf/zjH2Hb5s+fHzdt7EQee+yxqLTA3//+91H7TZ48uU3lE1HbsJ1lOxuJ7WwjtrOJ5XQ6o9L/d+zYgffeey9s2x//+Meox0ZOxJeuOMFXGvv3v/+NlStXAgifeOTAgQNh+6mqGjULY2sNHz48attjjz2Guro6nHzyydizZw+effbZdl9Zb62bb7456srgrbfeii1btmDChAk4evQoli5diqqqqoQ+b/B9D4qVEvPOO++EjXsZOHAgJkyY0KrnefXVV8P+r6oq/ud//gcWiyXuY+bMmRM2vmb16tVYunQprFYrFEXBTTfdFNUYXHrppbjjjjswYsQI7NmzB4sXL25z4xPLr3/9a3zyySdYt25d2PZHHnkEL730Ei677DKccsopsNvtKCsrw1dffZWw527qtttuwxNPPBH2/rz22msoKyvD5ZdfHlr/8f333w97XEZGBm699dawbRMmTIg6Ybz88stx//33w+12Y/Xq1VGNWWts3LgRkyZNwvXXXw+LxRJz/UdVVXHTTTe1qfzCwsITjrEsKiqK+qxPmTKlW49NJGoNtrNsZ2NhOxsf29lGiWpnH3jgAaxatSpsAq8ZM2Zg7ty5GDJkCP7xj39EXaw65ZRTcM0117Sp3imn0xeroqRoy/qPwZ9bbrklqrxY6z+eaG2/sWPHnvC5Ro4cGbUtcp3FWOs/xlqLsSX7+f1+MXHixBPWy+Vyteg5W6otx2HWrFmteo4vvvgiqozJkyef8HHXXntt1ONWrVoVur+6uloMGjSoTe9ZW9Z/DKqqqhIXXHBBmz/HLVn/sSXv8erVq4WiKC1+XkVRxBtvvBFVTklJScx1RSN/LBZL2P9buv5jz549T1h2e9Z+jLcG7Il+2vMZIOrK2M6ynQXYzkZqy3vMdlZKZDu7ePHiFj/e6XSKTZs2tbneqYZp2NSsG264Ac8880xCynr11VeRn58f9/4bb7wRd911V0Keq6UMBgPWrl2L0aNHx91n1KhReOGFFzqxVokRKzXsqquuOuHjYu3TtCyn04m///3v6NevX9wypkyZgkcffbSFNW2ZjIwMvPvuu3jqqaeanR0zltNOO63NV3YjXX755Vi7dm3U+K5YsrOz8dZbb4WttRmUk5ODP/3pT1Hj+YKMRiP++7//GxMnTmxTPdevX4/evXvHvf+6665L+DEiotZjO8t2NrIstrNsZxPtjjvuwHPPPRc1fjlSv379sH79+pjLYqUrBssUYrFY0KNHD/z4xz/G3XffjS1btmDZsmUxl4Zoi2HDhmHr1q244447MGDAAJhMJuTm5mLKlCl4/fXX8eKLLybkeVqrR48e2LhxI5544gmcdtppsNvtyMjIwNixY/Hkk09i06ZN3S5t1OfzYdWqVWHbDAZDzGUrIp133nlRM0q+9957YUsNDB06FNu2bcMDDzyAk08+GVarFZmZmZg0aRJeeOEFfPDBB1Fj5RJBURT8+te/xv79+/Hyyy/j5z//OUaMGIG8vDwYjUbYbDb06NEDY8eOxcyZM7F48WL88MMP2Lp1K6699tqE1WPatGnYt28flixZgosuugh9+vSB1WqF1WpF7969ccEFF2DRokXYt28fpk+fHrecmTNn4rPPPsO0adOQk5MDk8mEgoICzJo1C1u2bGnXSe3IkSOxbds2zJs3D8OHD4fNZkNmZiamTJmCVatW4eWXX4651ikRdRy2s2xnAbazLcF2NvFuueUW7NixAw888ADGjh0bej969uyJKVOm4JlnnsEPP/yAH/3oR8muapeiCNHGhdKIiKhLmD17Nv7yl7+EbeNXOxERUWKwnU1f7FkmIiIiIiIiisBgmYiIiIiIiCgCg2UiIiIiIiKiCAyWiYiIiIiIiCIwWCYiIiIiIiKKwNmwiYiIiIiIiCKwZ5mIiIiIiIgoAoNlIiIiIiIioggMlomIiIiIiIgiMFgmIiIiIiIiisBgmYiIiIiIiCgCg2UiIiIiIiKiCAyWiYiIiIiIiCIwWCYiIiIiIiKKwGCZiIiIiIiIKAKDZSIiIiIiIqIIDJaJiIiIiIiIIjBYJiIiIiIiIorAYJmIiIiIiIgoAoNlIiIiIiIioggMlomIiIiIiIgiMFgmIiIiIiIiisBgmYiIiIiIiCgCg2UiIiIiIiKiCAyWiYiIiIiIiCIwWCYiIiIiIiKKwGCZiIiIiIiIKAKDZSIiIgIAvPHGG5g8eTKysrLgcDgwevRoPP744/D5fK0qp7S0FMuXL8edd96JH//4x7Db7VAUBeeee24H1ZyIiCjxjMmuABERESXf3LlzsWjRIhiNRkyZMgVOpxMff/wx7r33XrzzzjtYv349bDZbi8r6/PPP8fOf/7yDa0xERNSx2LNMRESU5t5++20sWrQITqcTGzduxPvvv4/Vq1dj165dGDlyJDZs2IAHH3ywxeXl5+fj5ptvxvPPP49NmzbhT3/6UwfWnoiIqGMoQgiR7EoQERFR8pxxxhnYtGkTfve73+H+++8Pu2/Dhg0466yzYLFYcPz4cbjd7laXv3z5cvz85z/H1KlT8eGHHyaq2kRERB2KPctERERp7PDhw9i0aRMAYObMmVH3T5o0CX379oXH48G6des6u3pERERJw2CZiIgojW3duhUAkJ2djYEDB8bcZ9y4cWH7EhERpQMGy0RERGmssLAQANCvX7+4+/Tt2zdsXyIionTAYLkTVVZWJrsK1Al4nFMfj3HqS6djXF1dDQBwOBxx93E6nQCAqqqqTqkTAHg8HlRVVYX9eDyehJSdTsc3XfEYpwce59SX7GPMpaM6kaZpya4CdQIe59THY5z6eIyTb+HChXj44YfDtt17772455572l12eXk5j3GK4zFODzzOqS/WMc7Ozu6052ewTERElMYyMjIAALW1tXH3qampAQC4XK5OqRMA3HfffbjrrrvCtlksFlgsloSU35knW5QcPMbpgcc59SXzGDNYJiIiSmMDBgwAABw8eDDuPsH7gvt2hkQGxkRERG3BMctERERpbMyYMQCA0tLSuBN4ffPNNwCA008/vdPqRURElGwMlomIiNJYQUEBxo8fDwBYsWJF1P0bNmzAwYMHYbFYcOGFF3Z29YiIiJKGwTIREVGa++1vfwsAeOyxx7Bly5bQ9tLSUtx2220AgDvuuANutzt035o1azB8+HBMnTq1cytLRETUSThmmYiIKM1Nnz4dv/zlL/HMM89g4sSJmDp1KhwOBz766CNUVFTgzDPPxIIFC8IeU1lZiR07dqChoSFmmRMnTgz9XlxcDADYtGlT2PYHH3wQF110UQe8IiIiovZjsEyUQF6/QFm1Ds2oQwhAAEDg1mIEMh0KFEVJci27F69fQFUAo4HvG7WMEAK1HqC2QaCmQaCqXsDjFxg7yAgTP0dxLVq0CGeeeSaWLl2KL7/8Ej6fD4MHD8a8efPw61//GmazuVXlbdy4MWpbVVVV2PZgEE2SXxOoaQBqAp/d8lodXh9gtyiwWRSYDYDZCJiNClx2BU4rP89ERB1JEUKIZFciXZSVlXF6+xSl6QIHSnRsP6jhwNFSODKyAQHogfuFAKwmoE+2ioE9DOiZpfCkvRm1HoGSKoFjFRoOlwlYTcDQXgb0zVFhNSf/fePfcteh6zK4qKqXwUVZjY7SaoE6L1DvFdB1+ffpsqm4eJwJDkvLPj88xqmtKxzf4EWdilqBijqB4iod5TUCDV4Bj09eZDUYAIMC+HX5WVegIHjS5rIpGNFXxeCeBpiNyf9e7Gq6wjGmjsfjnPqSfYzZs0zUTscrdGw/pGF/sQ6TEcjNUODKVKAGzl2UwD/1HqCwSMfe4zpyXQqG9DSgIEdlz0BAZeBk8UiZjuMVAtUNAooCZNiAijrgH9v9yM5QMLSniv55BmTY+L6lG12XwUVVvUB1vUBptY6SaoE6j0CDT16UMhrkhSmbWUG2U4FBVVDbIFDnSXbtqSup9QhkCdGpmT5CCFTVA+U1OsprBY5VCFTVCXlRR8geY5tZgduhwGIC1GbqpguB8hqBL3doKCwSGNnPgD7ZClSV34tERInEYJmojarqBL4/7MfuYzp8fiA/U4HFpKCqMnavscMKOKwKfJpAWbXAhh/8cNsUDOihYlC+ipyM9Jtvz6cJHK8QOFCi4WCJQI1HwGSQPSb9csNP/DRdnhxu3KXh+0M6BvVUMbCHimxn+r1v6cLjE6iolWnUZTU6iioFahsE6psExjYzkGFTkOduPrggCvL6Bf65w49BdRpG9e/YXtl6r0BZjRyec6hMoKJWR71X3me3yPTqnIzWB7mqIh/ntgscr9TxyXc6BvZQMaKvgd+JCaLpArWBlPgGn4DPD3g1oMErL3AEj6PDAjgsCqxmBWYjYDEpsJrk95LFxO8kou6OwTJRK3n9AruPavjukI7KOoEe7taNGzMZFORnKtCFQHU9sO2Aht3HNPTPk+l0PVypP665olbgaLmOPcc1lFTJHuRMh4LcZl67QZX352QIVNYB/7dPw84jGgblqxjaiyeIqUDXBSrr5cWk45U6jpbL1GpNB1QVsJsBp01BrgvsQaM203Q5nn3zHg1VdQJjBxvhtifm86TrMqW6pErgaEXjBR4hAGvgwk4PNxL2HW80KOiTraDeK9ulI2UCw/vI70R7C4cctEeDV/7NVtbKDA/5Pd79MqY0vfHCXE29QGmNvDjb4JMp8XqTAYuqChhVebEOAIqqAL8mL+AFmQwySyDToaCHW4HLJseYZ9g4BIuou2GwTNRCQggcLhP49wENh8t0uOzAwB5tD2xVRYHbDrjtCmoaBHYclina/XJVDOlpQM/M1EqpE0KgqEpgzzENB4p11Hpkb3uvLAWmVvTsKIqCTIcMrqvrBb47KN+3QfnyfUvHHvruTAiBkmp58eRQqbwAVeeVJ6MZNgW9shRO7kYdIscFFBZpqG6Qk78V5LTtuyOYLVRcpeNAiZyUq8EnA6YMm4I+OXI4QEeymRX072FARa3AN3s07CvWcWpfA/rnqQn9+/H4BIqrZA/5sQqB8kCQrOmN+zit8oJw7ywVuS4FmfaueQFYznHQOPynqk7A4wcAAbNRgdUMuOwKLMbWX5zz+mXP8/FK+ZkAZDk2ixwekutSkWFVkGFDlwygdV3Ar8sLAJouLxYIIW/tFnS5+hJ1JAbLRC1QWSfw3UGZcg0AfXMTewLvtMre6TqPQGGRjn1FOgpyVAzvY0CvrK55otFSQggcrxTYdVQGyV4/kJ0h02bb+7oybPJKfXW9wPZA0DwwX8VQBs1dnl+TYzZ3H9NwuFRHg1+mM7rsie15I4rHZFDQv4eCY+UCn3/vw6j+BgzvY2hRYFvnESitFiiq0nGwVEdVrYBPk4FEpkOBLUkTEWY6FLhsQHGVwGfb/eifJ1Oz891tb0eCF7QOl+ooLNJRUSu7UM0mmUbedMJKXcjU5f3FOnYf02E3A7kZsg69s5P/nVxRK3CsQl6YK62Rvf6KIr97sjIUWBOUNm02ypTsYMaCEDIQr/cAh0p17D2uoWkAneWQQbTTqsBhVWA3K3BY0eEXWZpq+pk+VCqHlwVX9dB1EZpYzmZR0DdHRQ+XipwMpVMyGIiSicFyJyqr1mG0CrgSlO5FHc/rF9h7XMe2AzJdLz+zYxsGu0WW3+ATOFiq41CZjgF5Kob16X7p2boug6GdRzUcLNHh14E8V8e8f+FBs4bC4zoG95SpiFmO5J+gUSOPT+BQqY5dR3Ucq9ShAMjJUNCLJ1yUBKqioHe2gvIaga93a6isE+idpYaCHYtJ3hoNcp6KkmqBI+U6iirkEAEogNMq56xoTYZMR1JV2bPr9QscLNFxtFzHkF4qhvUywG1vecZSnUcGlnuP6zheIS9ouWxAQW78nnJVaewtFUL2rsp0dB3DCww4uU/npIc35fHJzJUDJbIHudYjU+Kd1sB48U5oVxVFjmO2moAshAfQDV7gSLmOfcUyOFVVudSkxSTTtxUFoR8AUCH3MSiA0QiYVAUGgxLaZjHJx1qMCI2jNhvl8dB02VPs1wFNC2RF1DR+pqubXDwwGeVEpYoij2vw+es8Av/ar0EIDRlWBT0CWQRyDH3HZ1EQdTYGy53ou0Ma/nVMXr0e2EPlF0oXd7Rcx7/2azhUKlOuB7Qj5bq1rCYFfXPlOLQ9x2XPxaB8FcN6d/2xuUIIFFUKbD8kg2RdAHnuzulpkUGzAdX1Atv26yg8LjC0l0zP5kWq5KqsEzhYomH3cR1l1QIWE9AzU+GSN9QlZDll2u0Ph3XsOCwziIyG4I8Cgxqc2AkwGeV3Td/crj1UxmxU0C9PDvP59wEdhcd1OK0KemY2BjYuu+wV9vjkDPM1DfK2pFr2MlbVCZhMQLaz9d/hiqKEJjGrrhf4v0INR8t1jO5vREFOx7anQsj06v2VfuwrkrOPG1Ug05mYrKZEaBpAZzrCJ7P0+ICGQMp7sEc3OCY6eBtMjQ6mR0cyGQI/gQs/wXTq4K2uy+DZ45Of6VgTa8ZiMyvIyWhctm9/sY7dR3VYTTIzqCBbRa5LRZaT64BTamCw3Ik0HSiq0rHhe4EjZSpG9TeGfUFS11Drkb2TO49o0HR5FT1Z43NsZgX9Ayc7PxzSsb9Ix9DeBgzrbeiSjVBFrcAPR/zYc1SHTwN6uJWkrIsc7GmurBPYUqhhzzEdJ/WWE6h1xfctVem6TMEvLJKznVc3CLhschgDLxZSV2MzKxjQozGdWNNkD5w/0APndsiU4+7GaVXgsAD1Xtkr+N1BDZqQvZd2i0z5rWkQqPcJ+HwAFDlm126RwXYiLghk2GTgfLxC4JPvfDipt4pT+xoT/n2s6QJHy+XcGD8U+mCya8joZt85BrXxIkNbCSECn1v5U+8VUFXZQ2w2AqoiMxAMKtp8wVJVFbjsCF2IbvDKiy3/t0+DgAanVaaW98mWgXOWg7ODpxOfJodk1DeZPb66XkdlHZDpACYMNSW7ii3GYLmTuW1yDcXdx3QUVcpe5sE92cvcFWi6wP5imXJdXCnQI7PrXBUNjmmurJNX5/cV6RjR14BB+WqX6JkLzsT6w2EdVfUCea2cIbyjuO1y/F5FLbBpj4ZdR3UM76NiYL4BjhRJ+61pkLO2+jQR6mEI9jYIBHoRdDlG2KcL+P3y5AkADKr8CZ5EGVXAaFTCeiSMqux1MKqNJ1eq0vg4QJYf7K3wa41rwO45ruNYuQ5NIDCpTfcaSkDpS1UUqEag8XSue39um/byBnl8ArUeOUmX1awgz9axmR4GVaa813kEvjug43i5DyP6yUnI2ntB2utvMryjQmYGuOwK8nt07UysjqIoCkxG+d0d2NLhz2k1y4vjuS55obTWAxyr0LG/RIdBBZwW2Qb0ylSRGQieu8L5C7VPcLhFTUN4ZkplnYDHJ4ca6Lr8BKoG+beqC0Oyq90qDJaTwGpS0D8PKK0W+GKHH0fLVYwawLGVyVRWo+PfBzTsPa7DYgIG5HfOOKbWctvleLCyaoEvfvBj73E5cUrfnM5NBwx+OVY3yOU2fjisobhKIMuhdGq6eksoioIsJ+B2ILRO886jOob1VjGwR+ePn2svXZcntyXVAofLdBRXydlohZxwFUowVS/0CHmHHHeG0G2ovEBQLZoE2U0pAAwGORZOVQMNnqoEbmV5mgbogboFA3avHzAbZQo+exOIuh6LKTl/m3aLgv49gJIqgX9s96NfropTCto2mWWDV17k3nlUQ1GVgMUox4+bjQqqKvm9kyyq2jh2HZAXa2s9wMFSHXuO6zCpgMOqoIdLQQ83g+fuxOuXwzOq6uX53/FKGSA3eOUM6oAcN28zKzFnky+q1OOU3HUxWE4SRZFX2DJ8AnuOy0DjtIEGDOqhdmrQE1wewKfJHiG/1pi6I8e2iFCvUWj5gMBjQyfVgVsl0OMU+gn832pSYDPLq45tWYKhI3n9AjuPaNh+SEdNvY6e2WrCZsPsKGrgs5PlFDheoeOT73QMzFMxvCCxk4AJIeD1y/FMXr9Ag0+mqFfU6iipkg1fvVd+XuwWYECC0vU6iqrIyVyynHKZl3/ulEHzyX0MKMhRYTN37syjreHxyfGDxYFZSitq5Zg2s0mejHTkJDV6YFIYPWL5kKbj5Mymxklggn/7wZ5oIqJIqiLXH/b5BY6U6ThaoWNwvoqTC1rWceD1C+wr0vF94EKt0wr060ap1unGaGhcKhMAfH55DlFYrGPnscbgOdclxzz3ze0aWXPpTgh5nCrrZGBcVKmjrEagzivg88uL5zaLDIzdjq63BFqiMFhOMotJQf88FSXVAhu+96OoUo5lbm8Kq1+TqQ8enzyp9vhk4OPVgHqP7Imq88rtfg3QApM9NP4u/wgEEOqtkv1TwckmYtVPQIES2A8QgQIUyB4mk1GRJ/eBtQWDMzgGe7oMgV4qq0lOtGIL3HbEF6YQAkfKBf69X8PBMl32iOZ3r7SQYEpbg09gb5EMovLcKgbkqcjPVEONUjy6LgPgBp9AnUfeBseU1DYAdV75mfFrInQxBZCBkM0svxwzHd1vDdzgxYZsp5wFdMMPfrhsCowG+ZqcVpkuZjUroVlFrcHZRU2ds76kEHLilJJqmVJ4tFxexRW6bJjkZESd876rigLVAKB7/XkQUTdgMiooyJWp2T8c1nGoVGB4b9mGydUhwi9iBmf4/v6whqIKAbsV6J/HILm7MRkVZBobJzYLjm/dX6xjzzEdeS4Fw3ob0C9XTcq8J+lK1wWqG2RwXFYt11KvrBeo94iweQ7yXOmVBcBguQtQFPnBq/cKfH9YR0mVD6cNNKJvM7NFBhe8b/AJNARu6z1yAp2awIB6nyav3vk0hHp/BQRUNTA2MTDTp8GgwKwCxsB4REOCe4R0Ia9Aef3yC/F4pcCh0sbeKSAYhCuhEFxVEVruwGaWVyPdDhUOC+CwyHUIbaa21bOmQWD7IT92HNEhhLwa3d0CvqZkWr/8/BRXyeUxHBagZ6aK/nkqsp0qfJr8nNR5GseoVdcHLqAEPiPyWAgYDXLMqtEgA0O7RQaSRrVrzCCaKKraGDTXeQGfH6is01FajdDfTDB5IjiG1xwInIXHh4JeftjMcobYYMqR1dz2YFrTZfBeWi3H3pVWy4taiiLH3vXO6t6fUyKieOwWOTwtOL+EwaCFlk9y2xVkO+QFwsIieQHRagb6MkhOGSaDgkyHDJ41XbaDn3/vR06GgpN6qejfo3GeESFEaOIyn1+e02Unuf7dlV9rTKcuq5FLxVXXy/gCELCZ5fl2jrNrZw52NAbLXYic+VjOFvnpdz6c3MeAPtkqPP5AoOOVH+qaetlb7NNksKMFeoGhIBTkNA0yjQYkdfytqgR76AKVbAFNDwZyclxsSbWApmkQkIG+xazAbpZfrG67Euj9a+wBtJoax00G3ydv4H384YiGsuquMwlVogQDt2DazMFSuT6m3YKwnmFFQWD9UJkaL5cOSa1AuDVUVfYmS9HvQXBWUW9gYqzqBoGyMh1F9fIN1QGYApNgWUzyGLhtgMuhwtYkiG6aohwcqqALoKymSXp1nYDXJ4+Ny64gx9U1x84TESVacH6JLKcStnzSsQqBAyUAhBzyUZDDC4epzKDKFH0tQ04U+eVODd8f1pGdoaAhkBHZuFa0QEOtD0MqfOiTrSLPpXKZyGYIIVBVD5RW6yiqkj3HtfUyE1VR5JC6DJtcXk1VOI9SEIPlLkZVFPTKkss4fLtPw78PaKHeLVWRJ+TBWWptFrkEQCpeWTWoSiDVF4gMYHxaYyO6r1j2WgepKmAO9IgKNI7B1gRCPYV2C9C/R+oGIYoSSCW2KtCFvEAQ/MxQ68WaVdQiVLjcjQ2JX2u8uFNZp6O4CvBrGgAZIMsLVrIxUgAoqoLgo2s9AroQcFoV5GZwMiwiokQsn0TdmyGY/ZUhez6PlAkYAlmRBlWBzSgzIss8wL5iHbuP6XBYZKBdkKMiy6EEJqdUoKqNqz+k23waHl8wa00Ocyiv1VHvkefLDiuQlaF0+bl6ko3BchfltCpw5MvgLlWDurYyBdKEY/UKB3uk/ZoMTIyqEvhiTc+eUzWwXAh1LKNBfs7kex3+OdMDPdNNl3RqOgQh06nAoPIKLhERUSRVkes1x+O0KXC51VBW3aEyHXuLdJgNjZPNKpABthK4eJ1hk3OuOC1yqJnNLCcYs6XI+Gi5fFP4nCe6LjugMmwKerjT85y4rRgsd2GKonTzlR07X7BHmqirUBWZAUJEREQdo2lWnWhykbrp6g0yfTs8tV9AZt9ZTQqyMxT0zlKR7ZTBdHfJ9NJ0mbJeWi1wMGLOkwwb5zxpL57CERERERFRSggOn4pzb9QWX2DS3KPlOvYX6zCoMuju4VbQw6WGVsYwGxtvkz3Xi8cn5/MprtRxqKxxSUnOeZJ4DJaJiIiIiCgtmYwyuA5ODhZcyqqwSMfuo3poP6NRTuhpNMgJYk/qraIgp/PWhK7zCByv1HG0XKZXV9cLCCFgt8pecY497hgMlomIiIiIiBC+lFVQcP4Rf2DZqtIaHZ9+p6NnporhfVT0zVXbvHRkc7x+gaJKgUNlGg6WyADZoMr06j45nPOkMzBYJiIiIiIiiiM4/0hwDhK3XYFPEyip0vHZdh357vYHzXpgktoGX2Mv8r5iHZW1ckZQl11Bv9z0XvM4GRgsExERERERtYLJIJd79Wly7PCn3+no6VaQn6XCZVPgsilwWBU4LI3jm32aQL0HqPcK1HrkWOlaj46qOqDGI+DzAd7AcpQQgNMG9M7mBF3JxGCZiIiIiIioDUwGBb2zFfj8AuW1AkX7NehCLltlMytwWmRKd22DDIg9PgGPH9B1ABAwqHLMtNkImE0KHDa5RKqBPchdAoNlIiIiIiKidjAZ5QzaQZoe7DkWKK0RMBnkbNouu0zpZjDcPTBYJiIiIiIiSiCD2rj2M3VfnEKNiIiIiIiIKAKDZSIiIiIiIqIIDJaJiIiIiIiIIjBYJiIiIiIiIorAYJmIiIiIiIgoAoNlIiIiIiIioggMlomIiIiIiIgiMFgmIiIiIiIiisBgmYiIiIiIiCgCg2UiIiICALzxxhuYPHkysrKy4HA4MHr0aDz++OPw+XxtKm/z5s2YMWMG8vPzYbVaMXDgQNx5550oKipKcM2JiIgSj8EyERERYe7cubjqqqvwxRdf4IwzzsD555+PAwcO4N5778WUKVNQX1/fqvLefPNNTJw4EW+++Sb69++PSy+9FKqqYsmSJRg1ahR2797dQa+EiIgoMRgsExERpbm3334bixYtgtPpxMaNG/H+++9j9erV2LVrF0aOHIkNGzbgwQcfbHF5R44cwaxZs+D3+/H888/j66+/xuuvv46dO3fiuuuuw/HjxzFz5kwIITrwVREREbUPg2UiIqI09+ijjwIA5s2bh9NPPz20PTc3F88++ywAYMmSJaisrGxReU8//TTq6upw7rnnYs6cOaHtBoMBzz33HNxuNzZt2oT169cn8FUQERElFoNlIiKiNHb48GFs2rQJADBz5syo+ydNmoS+ffvC4/Fg3bp1LSpzzZo1cctzOp245JJLAABvvfVWW6tNRETU4RgsExERpbGtW7cCALKzszFw4MCY+4wbNy5s3+ZUV1eHxiMHH9ee8oiIiJKFwTIREVEaKywsBAD069cv7j59+/YN27c5+/btC/0er8zWlEdERJQsxmRXgIiIiJKnuroaAOBwOOLu43Q6AQBVVVUtLq+5MltSnsfjgcfjCdtmsVhgsVhOWAciIqJEYLBMREREXc7ChQvx8MMPh2279957cc8997Sr3HqvQE11OUxGQHiVdpVFXVd1VXmyq0CdgMe5e6mp0qH6VJSVmVr8mPLy6GOcnZ2dyGo1i8EyERFRGsvIyAAA1NbWxt2npqYGAOByuVpcXrBMt9vdpvLuu+8+3HXXXWHbEtGzXO8VcGb4kOHORoaNwXIqc7k774SakofHuftogI4Mu4rs7JYHy0DnBseRGCwTERGlsQEDBgAADh48GHef4H3BfZvTv3//0O8HDhzAyJEj21QeU66JiCjZOMEXERFRGhszZgwAoLS0NO6EW9988w0AhK3BHI/L5cKQIUPCHtee8oiIiJKFwTIREVEaKygowPjx4wEAK1asiLp/w4YNOHjwICwWCy688MIWlXnZZZfFLa+mpgbvvPMOAODyyy9va7WJiIg6HINlIiKiNPfb3/4WAPDYY49hy5Ytoe2lpaW47bbbAAB33HFH2PjjNWvWYPjw4Zg6dWpUeXPnzoXdbseHH36IF154IbRd0zTcdtttqKiowPjx4/HTn/60o14SERFRuzFYJiIiSnPTp0/HL3/5S9TU1GDixIm44IILcOWVV2LIkCHYtm0bzjzzTCxYsCDsMZWVldixYwf27NkTVV7v3r2xfPlyGAwGzJkzBxMnTsTVV1+Nk046CS+//DLy8/OxYsUKKAon2CIioq6LwTIRERFh0aJFeP311/GjH/0IX375JdatW4eCggI89thj+Pjjj2Gz2VpV3owZM7Bx40Zcfvnl2Lt3L9asWQNN03D77bfj22+/DY1rJiIi6qoUIYRIdiXSxVufH4dHyUR+Jq9RpLKqyjIuY5DieIy7l9oGgToPcPE4ExyWlvVklpWVJXWpCuo49V6BlR8fR3YOl45KZfyeTg88zt1LUaUOt13FBWNavnRUsttjRm1EREREREREERgsExEREREREUVgsExEREREREQUgcEyERERERERUQQGy0REREREREQRukSw/MYbb2Dy5MnIysqCw+HA6NGj8fjjj8Pn87WpvM2bN2PGjBnIz8+H1WrFwIEDceedd6KoqCjBNSciIiIiIqJUlPRgee7cubjqqqvwxRdf4IwzzsD555+PAwcO4N5778WUKVNQX1/fqvLefPNNTJw4EW+++Sb69++PSy+9FKqqYsmSJRg1ahR2797dQa+EiIiIiIiIUkVSg+W3334bixYtgtPpxMaNG/H+++9j9erV2LVrF0aOHIkNGzbgwQcfbHF5R44cwaxZs+D3+/H888/j66+/xuuvv46dO3fiuuuuw/HjxzFz5kxwaWkiIiIiIiJqTlKD5UcffRQAMG/ePJx++umh7bm5uXj22WcBAEuWLEFlZWWLynv66adRV1eHc889F3PmzAltNxgMeO655+B2u7Fp0yasX78+ga+CiIiIiIiIUk3SguXDhw9j06ZNAICZM2dG3T9p0iT07dsXHo8H69ata1GZa9asiVue0+nEJZdcAgB466232lptIiIiIiIiSgNJC5a3bt0KAMjOzsbAgQNj7jNu3LiwfZtTXV0dGo8cfFx7yiMiIiIiIqL0lbRgubCwEADQr1+/uPv07ds3bN/m7Nu3L/R7vDJbUx4RERERERGlL2Oynri6uhoA4HA44u7jdDoBAFVVVS0ur7kyW1qex+OBx+MJ22axWGCxWE5YDyIiIiLq+oQQ8GtAgw/w+AQ8fsDrA7z+wO9+AY8P8GuATxPwaYDPD/g0wK8J+HVA0wFNk7d+XUDTAV0HdCF/hJD3CSEgQs8bXRdFAZTgraKEfjeojbeqAqgqYFAUGAyAUZXbgz9GgwJjYLvJ0OT/BsBkUGAyAmYDYDQG/m8AzEbAbJS/m4yAQVU68QgQdX1JC5a7soULF+Lhhx8O23bvvffinnvuaVe51VXl8Co6bErSV+yiDlRdVZ7sKlAH4zHuXuoaBOq9QFmZCR5Ly04Ey8tjH+Ps7OxEVo2IEkQXMrCtbRCo8wDF5SqUUg31XoEGr0CdF4HfgXqf3LfBJ6DrrX8uRQGMqgxEZZAqb81GBUZVBrSKEghuAwGuAkUGwRFfQQoQFkQHg2oRCLZDgXeTAFzT5evQ9MYfv9621xLJoMpA2mwCzMHbQEAtbwFLk9+D2y2m6G1mE6BGvmCibiZpwXJGRgYAoLa2Nu4+NTU1AACXy9Xi8oJlut3uNpd333334a677grbloie5QyXDx4lEy43g+VU53LzhDrV8Rh3HwaLgMEDZGeb4GhhsAwwMCbqCnyaQHW9QE0DUNMgUNsgf6/1yN9rPYEA2SvCemw1zQSDwRdWlkFVYLfIwC7HKW8tJgVWswwALSYZ6FkCgV7wd1OgJ1b20AZ7e7teEKgHespDP7qAzw/49WCPuAj0istec58f8GqAzy/gDfSY+wK96j4/4PELVNUBXj/g9bctEg/2aFuCQbQJgfdUCQXWwfc4GGTLHvDG4NsY+N0U6CXviu99KhFCZkjIz1Dw8ySa/B7j/3qTz54OaMHPWvBiTuAx1Q0Cp/Y14IIxpmS/zBZLWrA8YMAAAMDBgwfj7hO8L7hvc/r37x/6/cCBAxg5cmSby2PKNREREVHHEUIGZdX1AlX1AtV1QFW9QE2DDI6r64HqBgGPL0bOcoDJoMBhBTIdCnpnq3BYALtFBsTwNyA3ywabGbCZFdjMMkBLZarSGGBKiXu9Qsjgx9skPT0YUMttMpU9eL/8f+PvXr/sya+ql9u0dvSCm43ywoXZCEA3wWb1hi5kGAPp5cF09Kap6TIDQGmStt40jV0JpLjLTAC1SQq8qihQlSbZAoE+r+D/gcYU+rjvHxrT74Pp+UBjxoAQTW9FKH1fb3Kr64AmZAaBFvUjGrMMtMZt/sAwgcagNTwQ1mIEun4t/t9cW6mKPBaaLjM/upOkBctjxowBAJSWlqKwsDDmjNjffPMNAIStwRyPy+XCkCFDsHv3bnzzzTcxg+XWlEdEREREbaMLgZp6oLJeoKpO/lTWycC4KhAYe/2xT8pNBgVOG5DvVpBhU+G0KnBaEbiVAbLTqsDcTPBbVakzky+BlLBAvP1BuKY3BtG+0Bjx8F5uj68xQPf5A2PGtSa/+4G6BgU1DY3Bnq89UXgaMBqU0Fj34Hh2i0mBw4ImwwrUUAaF0dD4mMbMisax8EYDYFIbx9CHtjfdRwXUwFWFokodbnv3+rtMWrBcUFCA8ePHY9OmTVixYgXuv//+sPs3bNiAgwcPwmKx4MILL2xRmZdddhmeeOIJrFixAj//+c/D7qupqcE777wDALj88ssT8yKIiIiI0pAuZO9vZZ1AZa0MhJv+VNcL6DFiYYOqwGUHemUpcNlUZNgUuGwKMuyQt1aZDs1U29RmUJVArz/QnuC7qrIGLrcz9H8hGtODm6b/Nk0J1nQR6m3V9cZbTRdNenAjJmrTBXQAoklPcNhYc8SeuK2pYO+0EnjJwd7o4Nh2RZUTuwV7toO924093UpgvHxgordg0BvsFVebTvoWPaZeVfh31RZJneDrt7/9LS677DI89thjuOCCC0I9vqWlpbjtttsAAHfccUfY+OM1a9bgvvvuQ58+ffDRRx+FlTd37lwsXboUH374IV544QXcdNNNAABN03DbbbehoqIC48ePx09/+tNOeoVERERE3Y8QMl2ysk6golagIhAUVwR7iOtiB8MWkwK3XUEPtwq3HXDZFbhtClx2GRTbLTxhp46jKIGZvQ1hW5NVHUoBSQ2Wp0+fjl/+8pd45plnMHHiREydOhUOhwMfffQRKioqcOaZZ2LBggVhj6msrMSOHTvQ0NAQVV7v3r2xfPlyXHPNNZgzZw6WLVuGAQMGYNOmTdi7dy/y8/OxYsUKfkkTERFR2vP5ZeBbHugZrqgNBsZAZa2AL8bYRbNRBsOD8hVkOuTvbocMiN12BVYzz7GIKHUkfemoRYsW4cwzz8TSpUvx5ZdfwufzYfDgwZg3bx5+/etfw2w2t6q8GTNmYNCgQXj00Ufx+eefY+vWrejVqxduv/12PPjgg8jPz++gV0JERMmkC4F6T2CW3MAMubUegfIaAVUBLh7XfWbfJEqEYKp0RW2ToDjQO1xRK1DniQ6GVUX2BvfJUZBpV0MBcfDWZmbPMBGlj6QHywBw1VVX4aqrrmrRvrNnz8bs2bOb3Wfs2LFYvXp1AmpGRETJpgfSQasDM+XWNMjfg0vHhJaU8YiYY8Z0HXA7eHJPqScsVbouPBBuLlXabpHBb/88GQxnORRkBnqIM2xcG5eIKKhLBMtERJSevP7wZWJq6uU6jNX1jcFxvCAYkJOcOC1yLGSvLFXOkmtR4LDK2T0dVoWj1ajbEkKg3ovQpFkVtTIArqiTM0pX1p04VTrLEUiTtsvfXfbmZ5EmIqJGDJaJOkBoQffAGnahNfIC6+NFrqkHhM+qCDTOkKhEzpiohq8TGPzhLIfUlQgh0OCTAW91g1xDtTq0fuqJ11BVFLk0TEYgCM6wNS4bk2GVy8o4rQqsLZg1t7ah+63rSOlB0+XfQlVweaX6xh7h4BJLsYJhgypTpQtyFLjtaigYzgykSzNVmogoMRgsU9oTQq7P1+CTa/p5/ECDT8DjAzw+2fPl8yOwBmBwXUC5za8B3uCyBIF1Ab0+C6Ak58zcZIhY+84gZ4U0GwGTsXGNRJNBLs1hNsqZSy2BW7MRsJoUWM2Axdi4Lh5RU03TomUgLFAdSI2ubtIz7I9xkg80rqHaM1OB0yqXjsmwQt7aGtdRZSoodWfBQLjpRaKaeoHKQNZEVZ3MmojFaFDgtqMxGLbLYNgVuOXfBxFR52CwTCnFr8mT+HqvTF2r8wo0eIP/l9safHJbg0/+3+OTvcCtYVADSxMY5fIEFmPjgu66X4fdZg6taxdc905VlVBPcdM19CLPd4L/FxG9z8HfddG4TqAeWDMwuHZgcC1Bn19u8/oFahsCQby/lS8SMpXPYmoMoK0m2WMR/L/NLHv2bObA9sCtycBeje6oaW9wbYM8ya9tkMFvcJywHDMcPy3aYpI9v31zgAybCpdNgdMmx0FmBHqKW9IbTNRVabr8+6j1NI6hr2kyhCD4/1iTZwU5rTLoLchRA0sqyTWGg8Ewe4aJiLoGBsvUZQkhA7/aBhn01nlkICx/B+o8MgAObqv3xE5Xi2RQG4O9LIcCm1mBxSRP4C0mGRyG/m9UYDIi0Avb2DNraKbHtaqyBi53RiLfioTQAz3ospe8sbfcE+pFl73mwR72Bl/jhQWPX6CkCmjw6XGDpKYMajCQVmCzNAbZYUF1IMgOBd1m2eNIiaULeXzrAjNE1wdnig5NjhU+c3S8C0eKAjgsste3Z6aKDCsCQbASCIJlzzDHQlJ3I4T87qv3Bv9OZLsib+XfR51HBsg1DQINcYYOALJtcFpl29IvN5A10eRCkcycaL4NISKiroPBMnWqYM9vrUfIoLch+DsCwXDTkxR5Bb85RoMCuxmwWRTkOAG7RW0SlIUHaMFbY5r2eqpKY7DvaOOUR3rgpLKhSQ99sPe+wSdQ7xGo9wENgV78em9rg+zGnmqLCbCZEXYhI9i7HUwbb5pKbjamdo920/c+eIGjPnjbJIOiztuYWVEf+Dtr7r1XFQQmw1KQ51bgtMieYDk+uHGcsMPCtHxKDSs2ePHBv03QVS/8mvwO00+QeGM2yr+HPLccOhCcPM5haf0YeiIi6j4YLFO7aHpjL29YwOsF6hoatwWDX6+/+YjJoAZmsLUoyHPJ4NdhkUGuw6LAbpFLXtjM8nf2YnUuVZEng1YTgFYE3MHezVBQF0yF98rgur5JwB28La8Fjlac+CS2KUVpzACQY7WVUKq82RgYz63K/xubjO82xJg0TVUBFYCiAiqUsAnXamsUVEamtQs5SZsuAKEDOmTdRShtvumPCE3+5tNkRkRwzLtfC46Llz36Xp/8vSVZE0HBHn23Q0HvbBV2M2C3ygtL8u9InvjbLfICBMc+UjrZV6SjrFZFhkNOktUzUwm1K6G2xgrYzUqo3TEy64WIKC0xWKaQpgFN2LhfT2MvYXhQfOLgV1ECJxxWOVmJwyKvyNssSljwG/w9lXsG05mqNPbut0YwFd/TJDU82KvaEJh8LZhKHgowfTLw9GryM1tVL7f7WzswvRmaZobB4E1YeU0ZVJmObg6k/mc6EMgIUEPjxy2BCxZWc2Ovu93S2CPP4JcovnnTLVj1aSWycxzIsPFvhYiI4mOwnII0vUkvXZNxp8FevIYmE10Fg+B6D5odhxWkKjK4tVtk8Gu3BHqtAtsaf5e3PHGn9lCapI6396Q2OGY79KM3+b+OwGRpIqwHOHKJLyEEdAHU13tgs1li1Fd+3oNLfAV7o4M91XKyt8Ye7KYzlpuMjRPBEVHH4d8YERG1FIPlLiTYi9Z0aaKmEzAF0zJj9bJ5fPK+Bm/L0zVDkzCZFeS5AZtZDRvbazfLVE57k/G/Fo7Hom6q6Zhtqe2f46pKDS43vz6JiIiIUhnP9jrJVzv9+Gi7EQ26HyYDQsv7eP2NaaY+rfmJeGIJTohkMcnJRXIzAKtZDaVoWoxxZh42pe9EV0RERERERCfCYLmT7D2u44ejBujQYQ3O3GsEzAY50U62U45JNBsBixEwBda3tRgBc2D2X3NoFmC5pJHFxElHiIiIiIiIOgKD5U5y2QQTFL8HutGNXlmGZFeHiIiIiIiImqEmuwLpwhZIieZkV0RE1NVUV1fjt7/9LYYNGwabzYbc3FxcdNFF+Pjjj9tU3pYtW/Dkk0/immuuwUknnQRVVaEoCl555ZUE15yIiKjjsGeZiIgojRUVFeGss87Czp070atXL0ybNg3Hjx/He++9h/feew+LFi3CnXfe2aoyH3nkEaxdu7aDakxERNQ52LNMRESUxubMmYOdO3di6tSp2L17N1atWoXPPvsMf/vb36CqKubOnYt//etfrSpz4sSJ+O1vf4s333wTe/bswTnnnNNBtSciIuo47FkmIiJKU9u3b8fatWthMBiwbNky2O320H0XXnghZs+ejWXLlmHhwoV47bXXWlzuvHnzOqK6REREnYo9y0RERGlqzZo1AIAzzzwT/fv3j7p/5syZAIB33nkHPp+vU+tGRESUbAyWiYiI0tTWrVsBAOPGjYt5f3B7bW0tdu3a1Wn1IiIi6goYLBMREaWpwsJCAEC/fv1i3u9yueByucL2JSIiShccs0xERJSmqqurAQAOhyPuPk6nE1VVVaiqquqsagEAPB4PPB5P2DaLxQKLxdKp9SAiovTFYJmIiKgbuueee/DXv/611Y978cUXMWnSpA6oUWItXLgQDz/8cNi2e++9F/fcc0+7yq33CtRUl8NkBIRXaVdZ1HVVV5UnuwrUCXicu5eaKh2qT0VZmanFjykvjz7G2dnZiaxWsxgsExERdUNHjhzBjh07Wv24mpqa0O8ZGRkA5JjkE+0fTMfuLPfddx/uuuuusG2J6Fmu9wo4M3zIcGcjw8ZgOZW53J13Qk3Jw+PcfTRAR4ZdRXZ2y4NloHOD40gcs0xERNQNvfLKKxBCtPrn/PPPD5UxYMAAAMCBAwdiPkfT9Ovgvp3FYrGExkwHf5iCTUREnYnBMhERUZo6/fTTAQDffPNNzPuD2x0OB0466aROqxcREVFXwGCZiIgoTU2fPh0A8MUXX8TsXV6xYgUAYNq0aTCZWpc2R0RE1N0xWCYiIkpTI0aMwKWXXgpN03DjjTeivr4+dN97772H5cuXQ1VV3HfffVGPvf766zF8+HAsWbKkM6tMRETUaTjBFxERURr785//jO3bt+PDDz/E4MGDcdZZZ6GoqAifffYZhBBYtGgRRo0aFfW4AwcOYMeOHSgpKYm6791338WCBQtC/9++fTsA4KGHHgoLrr/66qsOeEVERESJwWCZiIgojfXo0QPffPMNFi5ciNWrV2Pt2rVwOBw477zz8J//+Z+YOnVqq8ssLi7Gxo0bo7bv2bMHe/bsSUS1iYiIOpwihBDJrkS6eOvz4/AomcjPZPZ7KquqLOMyBimOx7h7qW0QqPMAF48zwWFp2VJBZWVlSV2qgjpOvVdg5cfHkZ3DpaNSGb+n0wOPc/dSVKnDbVdxwZiWz4GR7PaYURsRERERERFRBAbLRERERERERBEYLBMRERERERFFYLBMREREREREFIHBMhEREREREVEEBstEREREREREERgsExEREREREUVgsExEREREREQUgcEyERERERERUQQGy0REREREREQRGCwTERERERERRWCwTERERERERBSBwTIRERERERFRBAbLRERERERERBEYLBMRERERERFFYLBMREREREREFIHBMhEREREREVEEBstEREREREREERgsExEREREREUVgsExEREREREQUgcEyERERERERUQQGy0REREREREQRGCwTERERERERRWCwTERERERERBSBwTIRERERERFRBAbLRERERERERBEYLBMRERERERFFYLBMREREREREFIHBMhEREREREVEEBstEREREREREERgsExEREREREUVgsExEREREREQUgcEyERERERERUQRjsitARERERETpSdMFPD7A6wcMKuC0AoqiJLtaRAAYLBMRERERUQfRhYBfA3x+wKcBXr+A1w/4NQFAgaoCFiNgMSmo9wgUVwF2i0CWQ4HFxKCZkovBMhFBCAFdALoOCABmIxsnonRSXV2NhQsXYvXq1Thw4AAcDgcmTJiAu+++G1OmTGlVWXV1dfj444/x97//HZ9//jn27t0Lj8eD/Px8nHnmmbjzzjtx5plndtArIaLOIISApgN+DfAHbzUR+l3T5PkEACgATEbAZFBgMgJuuwq3DXA7VNjMgMOiwG5RYDMDtR7gWLmOwiIdxVU6/JpAhh1w2xUYVJ6bUOdjsEwUIAJXPoNf9D5N/l8IQFECP5C3AGBQFZiNgMkAGA0tSxnSdQGfJq+sBhsWnwZougxU9aYtS+B5Q61NY00DOzT5nyLrGRT5sKY1E03uDP6qAFBVINgOef0CbgeQ6VCgtjAVShfySrHHB3h8MqXKbAQybLIBZEoVUddUVFSEs846Czt37kSvXr0wbdo0HD9+HO+99x7ee+89LFq0CHfeeWeLy1uxYgVuuukmAED//v0xdepUGI1GfPvtt3j99dexatUqLFiwAPfff39HvSRKYUIIeCLaGk0HFAiIJq1dbZUOt09Hr+zEB1l1HoHyWgFfIG3YoMrzAKMBMKoKzCbA2k17RIWQ76mvyXlQ8NxI1wWU4HusAAYl+LoVGA2AzSyDXrsFsJtlr7DZKN8Lq1leiLea5P7xuO2A227A0F4qiqsFjpTp2FekY3+RQK9s+RxEnYnBMqUVTW8M6Lx+2eBqWmPwaTQEgl9VgdGgwGFXYFRlECt7XmUPrBYIbGvqRSjwlc20QHWVDqdHgwIlFIgGA1dVBUwqYDQqMBnk1VSbRYHVCFjNCkyB7UaDbHxF6Hmb/C4aA/amwTsQHhSHaRLoK0pjUGxQlVBDr6qy4dMFcKRMx57jsnGyWQRynLJuQT6/QIMPqPcKNHgDdQJgNgEWo4JMu4osJ1BeA5TX6jheCRgNAhlWBRk28OowURcyZ84c7Ny5E1OnTsVf//pX2O12AMC6detwySWXYO7cuTjnnHMwatSoFpVnMplwww034I477sCYMWNC24UQ+OMf/4i7774bDzzwACZNmoRzzjmnQ14TdW+aLgNRr1+21TJ1F6HG1BxI2XXbVWQ7AbtZhcEg2zBDoP0sLzOiuF7F/mIdeS554bY9fJpARa1ATT1gMwO9s1T0cKlo8AnUeQTqvDJ492tAbYNAg0/AYgJcdgUOS8deMBZChM4RND3yR95nNMjzC7Mx/AK/EAL1XqDWI1DnAYQOWMyA2dB4HmQ3Q/b8WhSYDbKX2GwMlqcE/i97jhNFVRXkuxXku1UM7yOwtdCP7w/ryHHK95SosyhCiKh+K+oYb31+HB4lE/mZnIS8M2i6bADqvfJW12WgaDXJRtZmVpDpAFw2mQZkDVwBNRuDt/LLOh6fJq++Nnhl4OjxyduysjJkZWfDEAhKVTV45VleUTUbAbNJgcXY/NXVZKvzCBwu07HrqI6iKh1CNPZeGw2AzaTAaVOQm6EETgYUOKzyAkAwjVvXBSrrBcqqBY6W6zhWIVDTIKALAadVPq47pnxXVZbB5c5OdjWohWob5EngxeNMcFha9nkrKytDdnbqH+Pt27djxIgRMBgM2LNnD/r37x92/y9+8QssW7YMV199NV577bWEPOe5556Ljz76CDfeeCNefPHFhJTZGvVegZUfH0d2Tna7AyhqHU0P76kMZlf5NNlGh7KeVASCMtluOm0KMm0K7NZAW2MBHNbm24+ysjI4MrLw3UEN3x/SoAmgV1brepl1IVBdD1TUyj7rnAwFA3uo6J2tIsuhRAXAui7TkKvrBUqqBA6W6iip0lHrke2mwwqoihI6Nwhmdcn3pjG41ZsGu0IGsMGL0kBjhljT7DAlkB1mCFz4NqhK6MKB0RDoJPA1vt9Nr+TbzPJiQq8sFdlOBZl2eY50ovOgzqTpAv8+oOHb/RosJiDPJd84tsfdS1GlDrddxQVjTC1+TLLbY/YsU0oIpg3VeQVqPXKsjKrKdB2nRcHAHrK3M8OmBHpz238F1BS4Suu0hpdT5jAgO9vQrrK7ArtFwdBeBgzsoeJYhcDhMg1Wk4IMm/xxWpUTpkOpqoIsh4IsBzC4pwH1XoHSaoHiKh0HS3QUVQr4NQGrGXAxXZuo061ZswYAcOaZZ0YFygAwc+ZMLFu2DO+88w58Ph9Mppaf4MQzZswYfPTRRzh48GC7y6KuweuXF6X9Wvg4Vl0P3y+UXWWQWU0Wo4JsZyD4taiB7CSZaWU1yTbBbGx7u2AxKTh9kBH5mSr+b58fB4oF8tzR7XZTQsiLa+W1An6/DCJPLlDRN8eAHm6l2XMHVVVgVmVQnZMBnNRbRXU9UFKt42i5juIqmZ3m1wDdH8wYE6HHBoNcm0XW3WKS2W4WowKjsTETLJQRpiiB28YMMZkhJ7PigllqiqLAr8kL+sEL/A2BFHaHBch0qHDZuk5gHItBVTCqvwEZNgWb9mg4VKqjd3bXrS+lDgbL1O2IwNjYpl/6wbQhh1XB0J4KcjNUuOwyoOvo9KdUZzQoKMhRUJDT/owIm7mxrJH9BMpqBEqqBQ4W6yir1XG8AjCbBFw2JXQFnog6ztatWwEA48aNi3l/cHttbS127dqFU045pd3PuWvXLgBAr1692l0WdT5Nl8Fk06wts0lmG8kxqXLMqhynGpG2a2zsMQ7O+dEZ7XOfbBVZDhP+fdCPHw7rKKkSUILjbdXGcbf1XoF6D2C3AH1zVPTPU5GfqbY4IyWSoihw2QGX3YBB+YbQUK6m6dLBiTUbh4F1TNBqNChwxrjA350oioJB+QbYLQq+3uXHgWIdGQYhx1Ir0Z+l4Dwx/tBcMXK/TAcnC6OWY7BMXV6DT6CmXqDeJ3uMAYQmjMhyqMh3K8gMpA1l2JQundpMjYwGBT3cCnq4gZP7qKiok2lrh0p1FFUJlFYJqAYBt11BhrVrX/FOFr8mT1Y9PiF7bAyNJ6N8v6glCgsLAQD9+vWLeb/L5YLL5UJVVRUKCwvbHSxv27YN7777LgDgiiuuaFdZ1Lk0XeB4hQw+7BYFLpuKk3opyHQocNnksJrOCn7bwm5RMH6wEX2yBSrrBDxeERqnW++TY6SzHCpOH6giP1OeUyT6taiqAg7Ea7+emSrOPsWETbv92LlfoFYICF3OHQM0Zpg3zWQwGeUwMa8GHCgOzMeS0XymABGQ5GCZS1VQLLoQqG2QY348PsBikksG9M2VqdROa+PYWK6/lxoUpTFde2gvA6rrZar20XIdR8oFDpQIqIpAhk1epU/HK8IiMHauziv/LoSQPRBWswK7WYFfB7w+oKZBBMb/BU4aFIQmdWnam8OLSgTIdhgAHA5H3H2cTieqqqpQVVXVrueqqanBzJkz4ff7cd5552HatGnN7u/xeODxeMK2WSwWWCyWdtWDWq+yTg6h6ZWp4NR+RuS65KRPXTUwjkdRFPTJVtAnYvijEPJ7s6N6dSnxMh0Kzj7FiL5uEzIzTaEVRYSQF3YURaaxWwLzxAQnIGvwyrHku45qOFIqYDAI5Ll4PknxJS1Y5lIV1JRPE6iul7NM6kKmU/fMVNE3R0VOhoIsJ1Nm0okcFy3T1uo8MlX7aLmGw2UCh0sFhBBw2hDoyUj9z0Vtg0BRpYDTpqCHS/5NuO0KHFYFGVY5rk8IwONvHIdWHwiq6z1ykrWaejlkocore1D8TYJpg4rQ5HaxZktNhODEPorCdbwT5Z577sFf//rXVj/uxRdfxKRJkzqgRvH5fD7MmDED//73vzFo0CC8/PLLJ3zMwoUL8fDDD4dtu/fee3HPPfe0qy71XoGa6nKYjIDw8rPYHL9f4HilgNkInNTLgKG9DLAaFHhqAU9tsmvXvPLy8mRXgTqBSauEWQ/01yuBn2D3vQ4IL+DxAk0vu+VYAFdfgaMOufLH3oNycH2+W44Np45TU6VD9akoK2v5/Bex/pY7c8KvpAXLXKqC6r0CVXVyuQWDKid4OrlALhOQ61K79bgaShy7RUE/i4J+uSo8PoHiKoHjlXKCsKPlAkLX4bDK4NGUYo2c1y/THo0qMKKfiuG9jch0xH6NiiJnNG1u0jWvXy711TSgbvDJC1VV9fL/dR4586tfA4QiL9MbDHLcYWg9TVWOQTQGTkiCs6v6/PLCV3CMGET0smk65NJjwfraLTLY58Ww1jty5Ah27NjR6sfV1NSEfs/IyAAgxySfaH+Xy9Xq5wIAv9+Pq6++Gn//+9/Rv39/fPzxx8jLyzvh4+677z7cddddYdsS0bNc7xVwZviQ4eZs2PEIIeeUqNaAYQNUjOxvQL67+yUQp8OM9tT245yfB4wcKnC0XOCHwxoOlOjIMAPZzsSn4JPUAB0ZdhXZ2a2bLDLtZsPevn071q5dC4PBgGXLloUCZQC48MILMXv2bCxbtgwLFy5s8VIVs2bNwqxZs6K2K4qCu+66C+vWrcNHH32El19+mcFykmi6QE0gvdrnlyfKmQ4VI/spyHXJ5QrY40TNsZjCJwgraRI4H68Q8OsCDqtM2+/OnyVNlz3JPj/QL1fFKX0NyHe3v/EOLovmirMid6zZUht8QHW9jtoGuZyYTwNqvXJ5FH9gpluTKlO8jQbAbVfhtAJOS2Byn4jl2HQhUzoragWOVQhUN8ilxTQhYDEiNMyCwfOJvfLKK3jllVfaVcaAAQOwZcsWHDhwIOb9TdOvBwwY0OryNU3Dtddei7feegt9+/bFJ598EnPW7ViYcp0cDT6BY+U6MqwqzhxmwKCealpk8FB6MqjyvCI/U8GeYzq27dewv1hHz0wV1hOs+EHpISnBMpeqSB+eQK9VTYPMjHFaFQzIU9ErS0VuIJWU44OoLcxGBb2zFfTOVnFqPzme7niFjgMlOoorBbx+GTi77HJ21u5AFwLlNQKVdUDPTAUj+hrQL1fttMAx/mypcim04Lg+r1/2Unv98l45LkyOD2tJXXNkZyaEkEu9VdXJCXeOVugorZKp9poQcn1Vq5xZl8Fzxzj99NPx1ltv4Ztvvol5f3C7w+HASSed1KqyNU3Dddddh1WrVoUC5YEDB7a7ztQxhJCZO/UeYEhPA0b2NyDL0f16k4nawmRQMLyPAfmZCrbt17D3uA6LSSDPrXBljjSXlGCZS1WkrsjJucwmwG1TMKSnirzAWEt7G5dgIIrHZFDQM1OOcx/RV6C0RqC4Usf+Eh2l1QJen4DdInucu+KVYiFkgFxeI5DlVPDjk1QM7mnochOOKEpjDzHi9E63tjynVQbEvbOBkwvkWtzlNQLltQJHy3X5e01jz7PdIpeDS7WU+2SZPn06HnjgAXzxxRc4cOBA1KzYK1asAABMmzatVReudV3H9ddfj5UrV4YC5cGDBye07pQ49V6BY+Xy+2fcYAMG9ui8i3REXUmWQ8Wk4QoKcnT864CGfccFcl3ywjulp6QEy1yqIrV4fAI1DbL3GJCzVPfKUlGQrSI7Q85yzJl3qbMYDQry3XLs+8kFctxdcZXAviId5TU6GnwCtkDg3Nz43s5S0yBQHJi8a+wgA4b0MqT1eH2bWYEtWwbPI/rKCd4qamXP8/FKefHjeKWAX5PLZdkD456tZq7L3RYjRozApZdeirVr1+LGG2/EX//6V9hsNgDAe++9h+XLl0NVVdx3331Rj73++uvx9ddf44477sAdd9wR2q7rOn7+859jxYoVDJS7OF3I7x+PDxjeR8XIfkYGBZT2VFWu59zDrWLHEQ07j2goq9GRn6l2ifMG6lxJCZa78lIVAJerOJHg2OOaBgGfDzCZ5OzFo/rL3uNsp5LWJ/vUdRhUBXkuBXkuYHhvFeW1cizwgWIdJTU6jpULWM0ycO7sjIc6jzxJtZiAU/upOKk3Ux5jsVvksQn2PHt8MnCurBMoq9FRVCmHehRXyjU2zUbAGpjozGJiAN0Sf/7zn7F9+3Z8+OGHGDx4MM466ywUFRXhs88+gxACixYtijnZ5oEDB7Bjxw6UlJSEbV+yZAn+93//FwAwePBgLFiwIObzDh8+HPPmzUv8C6IWqffKiY1yMhRMGGrAgDyVw6KImnBaFYwdZET/XBXfH9ZQWKQDEMh3p96EohRfq4PlVF+qAui45Sqqq8rhVXTYlO51QiyEnEG31iNQ75Fr1zksCnJcCvJzVGQ5FGQ26T321gFldUmudBJxuYquSwGQbwfy+spgq6RK4GCZjqPHddR55Nhbl02BzdL8sknVVW0/xg1e2dNtMgB9c1QM6WVAnkuF8ABlnhM/nmTDlWORP4OzAhMHNsiguaRaR3mVQFlgcjJAzsjttCgoKzPB08KLIvH+jlNxdt0ePXrgm2++wcKFC7F69WqsXbsWDocD5513Hv7zP/8TU6dObVV5ZWVlod8//fTTuPudc845DJaToGlv8ikFKkb1N/ICN1Ezcl0qznQqGNhD4PtDGg6VBcYzu7isaTpodbCc6ktVAB23XEWGywePkglXN1h+ocEn12Wt9cj1W21moHemij7ZCnIyZO8xxx7Hl4on1KkmF8BgAGcImeZbVCVwsERHcZWOsmDgbJfjY2MFzi53645xvVeeoBoMwOihKob1NqBHAma4Jnksm/Jrjdkv1fWyB9rrB/LzjK2aJT2d/o5dLhcWLlyIhQsXtvgx8QLhhx56CA899FBiKkYJxd5korZRm8yafbBEx3cHNRwsEbCYBHIz2NOcylodLKf6UhVAeqZcB8cd13oAXQcsRplaPbCHijyXgiynCpet+d42ou5IURRkORVkOYGTeqmorAOKKnUcLNVRVKmjuAowGwXczQTO8ei6QHUDUFkrYFCBQfky3ToRy0BRfEaDgkwHmqxJbUhqfYiSLbI3eWQ/I9eYJmoDk0GOZy7IUXGoVMfOIzqOlutQVdnT3NUm5qT2S8qYZS5VkVxCyPTEOo8MjjVN9qI5rQqG9VbQw6UiM5BazfQSSieKEgyyDBgaCJyLq3QcKtVxvEJHcSVgMgooXgGTTcBoAIxqeADt02RvZnW9zMrIsMrZ4Af3NKBnJoNkIupcDYHe5Gwne5OJEsVslEFz31wVR8oEdh3VcLhMhxBCZqVZwfXJU0RSgmUuVdG5dF2gziuD43ovACGXdHJYFQzLUZDnkuOO3XbOWk0UFB44G1BVJ1BUpeNgiY59h+TawD4N8GuAHBUrg2ODQU4YdmpfFfmZcj1xDlkgos4WXDe5wQuc1FvF6P6c6Zoo0UwGBf3zZIr2sQqBfUUajlXIC1SaLmANdEY5LOBFqm4qKcEyl6roWJouUOeR4/U8PkBR5IyybruKYb3lUk5uhwKXjT3HRC3lsitw2Q0Y0tOAI7kmOFxmeP0CXr8cxuDzA5oAshwKcjKUVo2NJSJKJI9P4EiZjkyHinEnGzCoB3uTiTqSQVXQJ1tBn2wVHp9Aea1cuvJImY6yGoHyGgEh5IV1k1FmdFpMCsxG8Hyhi0tKsAxwqYpEEkL2GFfVy1tDIDjOd6vomakg0yHTqls73pKIYrOaZSaGnF+biKhrEEKgtFoOsRray4BR/Y1Nxu4TUWewmBT0zFTQMxM4pcCAmgY5kWi9V84PFFz+sMELVNYJ+PwCAoDRAFhNgNUklz5kEN01JC1Y5lIV7ROcOKi6XqaC2s1AjlNFQU7jeGMHUz+JiIjSgtcve7EyrCrOHGbA4J4qs8eIugCnVYlank3XG+cPqvMCtQ0CFXU6yqpldmhVIIhWFAGTUYHVDNjMMohW2fHVqRQRzAmgDvfW58fhUTKRn9m2paN8foGqerkkCiDXDe2ZqaBXtorcDBVuO3uOu4KysrK0WnImHfEYpz4e49RV7xVY+fFxZOdkp8yM0GU1OqrqgIE9VJw2wIAsZ9dforKj8W84PaTacQ5OwlvbIHuhqxuA0mqZyu3xyd7oYC+0zSwzSbtTAF1UqcNtV3HBmJbPSZXsY5y0nmU6scj0apMqx00GJw7KyWDvMRERUbry+QWOlAvYLQomDlUxtLeBM/ASdWOKosAW6EXOdQW3GuDXZGdZTYNccaOsRkdxtUBVIJ1bFwKKKodiGlRAVQE18LtBVWBQZYBtUOUqHpzDoOUYLHdBmi4nBaipB+wWIMehou8AFTlOBdkZChtCIiKiNFdRKycN6p8ne5NzXexNJkpVRkNwhY5gDGCApssAWi5XKXuevZqc3NenQd76Bfw64A2kfPt1QNNlGriAHMaZYZMBemuzU4UQ0HTAr8uVQeRPYKUQXQbr2U4FNnP3jlsYLHchDT45MYfPD+RmKBjVz4BeWUyvJiIiSndNV7po8MmT3AlDDTipt4ETARGlIYOqwG1HYMLR+IIBrM8P+DQBvwZ4/UBlnY5DpQLltTqOVwBGg4DDKicW03T5naMFgmtNBzRN9mADChQE0sFVuWSmyaDAaAAcFgU2iwK7Gaj1AMcqdBwrF3DZ0W0nG2Sw3AXUNgiUVAsYVKB3lorBPVX0yVbZ+BEREaUhIeTJbYMXqPPKNEu1yUoXvbJU9HAryGNvMhGdgDEQyNrMQNNVPPpCxYi+ApV1ct6D45U6jpY3rqxjNMig12JSYDECNosil7syyOWvzEYFJoO8lUtgyccEBWfnP1Sqo7BIx8ESAa9fwG3v/PegPRgsJ5EuBI5XyKs2w3qrGNjDgHy3wnEEREREaUAXMpssuF57g0+mMgLyZNRqUpCXoaJXloIsp8qVLogooRQlmN5twKB8A7x+eaHOZGj/2GZFUZDrUpDrUjG8j8CRchk0m7tZ9NnNqps65BIPAllOBacPNKJfrsJUayIiohQS7CH2+hEIigW8GqBrAiKQymgO9NDYzAoKshVkOlU4rQocFpnSaO3m4/2IqPsI9hInmtWsYFC+AQN7qNC72TpMDJaToLJOoLxaYFBPFWMGGk841oCIiIi6FiFEaGIbGQwHxgVqgNDleD5FkT00pkC6YrZThcsOuGwqbGbZc2wzyxNJq4nzkxBRalMUBd1tnmIGy52srEYgywGcMdSAYX24xAMREVFX0jQI9muNE+L4g4Fwk14RoyEQDBtkz3CuVUGGVYHdIoNgi6nx1mqSE/IQEVH3wWC5ExlUoF+uirGDjOidzUk5iIiIOpuqyPHAZdVy8pkgpckvBjU4Zk+B0aDAYVfgtALOQFq0xSTTFS0mwGJUYDXL/dkzTESUWhgsd6KR/QzI72Hi5BxERERJYjEpOGOIEU6XCQKyp1gIhH6Xs7uGz/DKiTeJiNITg+VOlOlQGSgTERElWa5LRTYzvIiI6ATYUhARERERERFFYLBMREREREREFIHBMhEREREREVEEBstEREREREREERgsExEREREREUVgsExEREREREQUgcFyJ/F4PHjmmWfg8XiSXRXqQDzOqY/HOPXxGKc2Ht/Ux2OcHnicU19XOMaKEEIk7dnTSFVVFdxuNyorK+FyuZJdHeogPM6pj8c49fEYpzYe39THY5weeJxTX1c4xuxZJiIiIiIiIorAYJmIiIiIiIgoAoNlIiIiIiIioggMljuJxWLB/PnzYbFYkl0V6kA8zqmPxzj18RinNh7f1MdjnB54nFNfVzjGnOCLiIiIiIiIKAJ7lomIiIiIiIgiMFgmIiIiIiIiisBgmYiIiIiIiCgCg+VO8MYbb2Dy5MnIysqCw+HA6NGj8fjjj8Pn8yW7anQCPp8PH330EX7zm99g/PjxyMzMhMlkQs+ePXHJJZfg3XffbfbxH374IS688ELk5ubCZrNh+PDhuP/++1FTU9NJr4Da6p577oGiKFAUBb/73e/i7sdj3L14vV4888wzmDRpErKzs2G1WlFQUIALLrgAr7/+eszH8BinBrbF3Rvb4/TEtjh1dZv2WFCH+tWvfiUACKPRKH7605+Kyy+/XGRmZgoAYtKkSaKuri7ZVaRmfPDBBwKAACB69uwpLrroInHVVVeJU089NbR9zpw5Qtf1qMc+9dRTAoBQFEWcffbZYsaMGaJnz54CgBg2bJgoLi5Owiuilvjiiy+EqqpCURQBQCxYsCDmfjzG3cvBgwfFKaecIgCI3NxccfHFF4v/9//+n/jxj38s7Ha7uOKKK6Iew2OcGtgWd39sj9MP2+LU1Z3aYwbLHWjNmjUCgHA6nWLz5s2h7cXFxWLkyJECgLj77ruTWEM6kY8++khcccUV4h//+EfUfStXrhQGg0EAEH/5y1/C7tuyZYtQFEUYDAaxbt260Pba2loxdepUASDmFwElX21trRg6dKjo06ePmD59etwGmse4e6mrqxPDhw8XAMRDDz0kvF5v2P21tbVi69atYdt4jFMD2+LUwPY4vbAtTl3drT1msNyBxo8fLwCI3/3ud1H3ff755wKAsFgsoqKiIgm1o0S48cYbBQAxderUsO0zZswQAMQvfvGLqMfs27dPqKoqAIjvv/++s6pKLfTLX/5SABDvvvuumDVrVtwGmse4e3nwwQdDPU8txWOcGtgWpwe2x6mFbXHq6m7tMccsd5DDhw9j06ZNAICZM2dG3T9p0iT07dsXHo8H69at6+zqUYKMGTMGAHDw4MHQNq/XGxo7FevY9+/fH2eeeSYAYM2aNZ1QS2qpTz/9FIsXL8b111+PCy+8MO5+PMbdi8/nw3PPPQcA+M1vftOix/AYpwa2xemD7XHqYFucurpje8xguYNs3boVAJCdnY2BAwfG3GfcuHFh+1L3s2vXLgBAr169Qtt27tyJuro6AI3HOBKPfddTU1ODG264Afn5+Xj66aeb3ZfHuHvZsmULSkpK0Lt3bwwZMgTbtm3Dww8/jJtvvhnz5s3Du+++C13Xwx7DY5wa2BanD7bHqYFtcWrrju2xMeElEgCgsLAQANCvX7+4+/Tt2zdsX+pejh07huXLlwMArrjiitD24PHMzMxERkZGzMfy2Hc9//mf/4nCwkKsWbMGWVlZze7LY9y9/Otf/wIAFBQUYN68eXj88cchhAjd/4c//AFjxozB22+/HfrO5jFODWyL0wPb49TBtji1dcf2mD3LHaS6uhoA4HA44u7jdDoBAFVVVZ1SJ0ocv9+P6667DpWVlRg5ciRuvvnm0H089t3P+vXr8fzzz+Pqq6/G9OnTT7g/j3H3UlpaCkBecf7DH/6A2267DTt27EBlZSU++OADnHTSSdi6dSsuuuii0DJCPMapgccx9bE9Th1si1Nfd2yPGSwTtcEtt9yCjz76CDk5OXjzzTdhNpuTXSVqo8rKStx4443Iy8vD4sWLk10d6gDBq9Y+nw/XXHMNlixZgpNOOgkulwvnnnsuPvjgA1itVvz73//GypUrk1xbImoNtsepgW1xeuiO7TGD5Q4STBOora2Nu09wAW2Xy9UpdaLE+NWvfoVly5YhKysrdBWsKR777mXu3Lk4dOgQlixZgtzc3BY9hse4e2mattW01ymoX79+uOiiiwAAH374YdhjeIy7Nx7H1Mb2OHWwLU4P3bE95pjlDjJgwAAA4bMyRgreF9yXur67774bzzzzDDIzM7F+/frQ7JtNBY9nRUUFqqurY46v4LHvOtasWQOj0Yhnn30Wzz77bNh9P/zwAwBg2bJl+PDDD9GzZ0+sXLmSx7ibGTRoUMzfY+1z9OhRAPw7ThVsi1MX2+PUwrY4PXTH9pjBcgcJfmmXlpaisLAw5iyc33zzDQDg9NNP79S6Udvcc889eOqpp+B2u7F+/fq4M/INGzYMdrsddXV1+Oabb/Af//EfUfvw2Hctfr8fn332Wdz79+3bh3379qF///4AeIy7m9NPPx2KokAIgZKSktBEIE2VlJQAaBz3xGOcGtgWpya2x6mJbXHq647tMdOwO0hBQQHGjx8PAFixYkXU/Rs2bMDBgwdhsViaXUOOuoZ58+bhiSeegNvtxgcffBA6trGYzeZQCkmsY79//358+eWXAIDLLrusYypMLVZRUQEhRMyfWbNmAQAWLFgAIQT27dsHgMe4u+nZsycmTZoEoDGtqymfzxc6QTvjjDMA8BinCrbFqYftcWpiW5weumV7LKjDrFmzRgAQTqdTbN68ObS9pKREjBw5UgAQd999dxJrSC1x//33CwAiMzNTfP311y16zObNm4WiKMJgMIj33nsvtL22tlZMnTpVABBXXHFFR1WZEmTWrFkCgFiwYEHUfTzG3cuHH34oAIisrCzxz3/+M7Td5/OJO++8UwAQGRkZ4tixY6H7eIxTA9vi1MH2OD2xLU4t3a09ZrDcwX75y18KAMJkMonzzz9fXHHFFSIzM1MAEGeeeaaoq6tLdhWpGWvXrhUABAAxbtw4MWvWrJg/sU60nnrqKQFAKIoiJk+eLK666irRq1cvAUAMGzZMFBcXJ+EVUWs010ALwWPc3SxYsEAAEEajUfz4xz8Wl19+uRgwYIAAIGw2m/jb3/4W9Rge49TAtrj7Y3ucvtgWp57u1B4zWO4Er7/+ujj77LOFy+USNptNnHrqqeKxxx4THo8n2VWjE3jppZdCjXNzP/3794/5+A8++ECcf/75Ijs7W1gsFjF06FBx3333iaqqqs59IdQmJ2qgheAx7m7ef/99ccEFF4js7GxhMplE3759xezZs8X3338f9zE8xqmBbXH3xvY4fbEtTk3dpT1WhAgseEVEREREREREADjBFxEREREREVEUBstEREREREREERgsExEREREREUVgsExEREREREQUgcEyERERERERUQQGy0REREREREQRGCwTERERERERRWCwTERERERERBSBwTIRERERERFRBAbLRERERERERBEYLBMRERERERFFYLBMREREREREFIHBMhEREREREVEEBstEREREREREERgsExEREREREUVgsExEREREREQUgcEyERERERERUQQGy0REREREREQRGCwTERERERERRWCwTERERERERBSBwTIRERERERFRBAbLRERERERERBEYLBMRERERERFFYLBMREREREREFIHBMhEREREREVEEBstEREREREREERgsExEREREREUVgsNzNPfTQQ1AUJe6PxWJBdnY2Ro0ahWuuuQavvPIKvF5vsqvdZXz66adR79ny5cvbXN6OHTvwl7/8BbfeeitOO+00GI3GqPL37duXsPo3tX//fqiqGvNz8PXXXyfseZYvXx5V/qeffpqQsv1+P9asWYM777wT48aNQ58+fWCz2WCxWJCTk4NRo0bhyiuvxBNPPIHNmzcn5DkpXH19PTZs2IAnn3wSV155Jfr06RN1vCdPntyiso4dO4Y1a9bg3nvvxdlnnw2Hw5HQvzeiroTtcfuwPW49tsepLVHtcU1NDVatWoXf/OY3+I//+A+cdNJJyM3NhclkgsPhQEFBAf7jP/4D8+fPx86dOzv+hXUzxmRXgDqW1+uF1+tFeXk5tm3bhpUrV2L+/PlYu3YtTj311GRXL6Xs27cPw4cPT9rzv/rqqxBCxLzvlVdewRlnnNHJNWqdZcuW4ZFHHsGBAwdi3l9WVoaysjJs27YNq1evBgAMGTIE27dvh8lk6syqprQ//OEPePjhhxNS1sSJE7F///6ElEXU3bE97jxsj9uH7XHXkKj2+P/+7//w//7f/4t5n9/vR11dHQ4fPoxPP/0Uv//97/Gb3/wGjz76KBRFafdzpwL2LKehvXv34uKLL0ZdXV2yq0IJ9Oqrr8a97/XXX4ff7+/E2rRcfX09ZsyYgV/84hdxG+Z4du/eDU3TOqhmREQdi+1xamJ7TN2Vpml47LHH8Mc//jHZVeky2LOcgq644gpceeWVAIC6ujp88MEHWLlyZdg++/fvx5o1a3Dttdcmo4opz+FwYNy4cTh69GinpLRs2bIF27dvj3t/UVER1q9fjwsvvLDD69Iauq7j2muvxZo1a6Luy8vLw7Rp0zBmzBi43W5UV1fjwIED+Prrr7Fhwwb4fL4k1Di9FBQUYMKECaGeg7YyGo0YOXIk7HY7vvjiiwTVjqjrY3ucfGyPW4btcdfW3vZYURSMHj0aZ511FoYNGwa3242ysjL885//xOrVq6OO4VNPPYW77rorEVXv9hgsp6BTTz0VV199dej/N9xwAzRNwxtvvBG23+bNm9k4J1BmZiaef/55TJw4ESNGjIDBYMDs2bM7pXF+5ZVXorapqgpd18P26WqN8+LFi2M2zL/61a/w+9//Hg6HI+bjysrK8Nprr+GJJ57o6CqmnalTp2L06NGYMGECevfuDQBtTsX6r//6L5x00kkYO3YsbDYbli9fzmCZ0grb4+Rge9x6bI+7nkS1x8OGDcPu3bsxaNCgqPt++ctf4p133sEll1wStv3w4cMoLS1FTk5O2yqfQpiGnSbOOeecqG0NDQ1R2+JNFlFfX4+FCxdi7NixcLvdUBQFTz/9NAA53uHtt9/Ggw8+iAsvvBAjRoxA7969YbVaYbVakZ+fj7POOgvz5s3Djh074tYx3uQeQgi8/PLLmDp1KnJycmC1WjFkyBDcddddKCkpafZ1e71ePPXUUxg7diycTicyMzPxox/9CM8//3xYw5UImZmZmDNnDkaNGgWDwZDQspujaVpUT8XJJ5+Mn/70p2Hb1q5di+rq6hOWV11djfnz52PEiBGw2+3Izc3FlClT8Prrrye03jU1Nfj9738ftX3u3Ll4+umn4zbMAJCdnY3bb78du3btgsViibo/8nM0e/ZsAMC6detwySWXoGfPnjAYDDjttNOiHltbW4vnnnsOl1xyCfr27Qu73Q6bzYaCggJcfPHFWLJkCWpqauLWbfLkyWHPPWDAgDbvN3v27KjXAgDFxcW45557MHz4cNjtdmRnZ+Pcc89tdw8wAJx11lm47LLLQg1ze9xwww2YNGkSbDZbu8siShVsj9kesz1me9wSiWqP8/LyYgbKQdOmTUNmZmbUdqvV2q7nTRmCurX58+cLAGE/8+fPj9rvvvvui9rvySefjNrvpZdeitrv1VdfFcOGDYva/sc//lEIIURxcXHUffF+DAaDWLBgQczX8sknn0Ttv2jRIjF16tS45Q0ePFgcO3YsZnnFxcVizJgxcR971llnibVr10Ztf+mll9p6OKLMmjUrqvzCwsKElS+EEO+//37Uczz44IPihRdeiNq+fPnyZsvavXu3GDBgQNz37MorrxR//vOfo7Z/8sknra73qlWrosrJzc0VdXV1bXwnGkWWO2vWLHHnnXdGbR89enTY49atWyfy8vJO+DnOzc0V77zzTsznPuecc8L27d+/f5v3i/X5+eqrr0Rubm7cus2aNUtomtbOdzBc5HOcc845bSon1vdLIv/eiJKJ7THbY7bH0dged832uKnDhw8LRVHCyh0+fHj7K5si2LOc4urq6vC3v/0NS5cuDdtus9lanPJ1yy23NHsFujU0TcODDz4YM00plnvvvRcfffRR3Pv37NmDu+++O2q7ruuYPn06tm7dGvexn3/+OW6++eYW1aMri/VeXnHFFZg+fXrUFfXm3vfa2lqcf/75zS6l8eabb+K//uu/2lzXptavXx+17aqrruqQXsi33noLixcvbnaftWvX4uKLL0ZxcfEJyyspKcEll1wSM2Wto5133nnN9uD85S9/wQMPPNCJNSKilmB7zPb4RPsGsT1me9zRNE3DsWPH8Pbbb+P8888Pm71dURQ8+uijSaxd18Ixyyno4YcfbnaqebfbjVdeeQU9e/ZsUXnV1dVQVRXXXHMNJk+eDL/fjy1btiA7Ozu0j9VqxcSJEzF+/Hjk5eUhOzsbJpMJ5eXl2LRpU9Tsjw899BCuu+66Ez53Q0MDbDYbbr/9dpx66qn4/PPPsWzZsrB93njjDTz77LNwuVyhbbHGRppMJtx0000444wzcOzYMSxduhQHDx5s0XvQVdXV1UU1EEOGDMHo0aMBAGeffTY++eST0H0ff/wxjh49il69ekWV9Yc//AG7d+8O2+ZwOHDHHXfglFNOwd69e7F48WIcO3YsIXXftWtX1LZYy2k0NDTg7bffjltOjx49MGXKlGafK5juNmbMGMycORO5ubkoLCxEYWEhAKC0tBTXX399VCrgT37yE1xxxRVQFAWrV68OO6EQQmD27Nk4++yzO3VMT2VlJc444wxcf/31sFqtWLt2Ld55552wfR5//HHccMMNGDJkSKfVi4iisT1me8z2OBzb4+Q6//zz8f7778e9f+DAgfjv//5vXHbZZZ1Yqy4uyT3b1E6x0r5O9HPnnXeK8vLymOXFSvsCINasWRO3DpqmiYaGhmbr+bvf/S6qzJ07d4btEyvtC4B4//33w/abM2dO1D6ffvpp2D7jx4+P2ufFF18M2+fIkSMiIyOjW6d9vfrqq1Hl33vvvaH7lyxZEnV/rHQ/XddFfn5+1L4ffvhh2H7ffvutUFU1IWlfp5xySlQ57733XtR+R48ebfbzHCsFKdZ+V155pfD7/THr8sgjj0Ttf9VVV0XtN2PGjKj9HnnkkbB9Ojrta8KECcLr9Ybtd91110Xtd88998R83rZoyXveEkzDplTG9pjtMdvjc6Iew/a4a7XH5513Xtzjl5WVJf70pz+JmpqahNU3FTANOw0tXrwYp512WrPpPU1deumlmD59etz7VVWFyWTC6tWr8bOf/QyjRo1CVlYWTCZTaBKEWGkoLUklO/vss6Mmxoh11fL48eOh36uqqrB58+aw+wsKCkKTSgT16tULN9544wnr0JXFSuMKLlMCAJdddlnUzIkvv/xy1GO2b98e9h4CwMSJEzF16tSwbaNGjYqaMbGtRJOUn6C2zrp8IiaTCUuXLo070cvf//73qG3z589v0bZYj+1I8+bNg8lkCtsW6++raQ8GEXVNbI8ltseN2B6zPU6W8vJy3HLLLTj99NNjZhukK6Zhp6Cm6zr6/X7s378fL730Evbs2RPaZ//+/Zg5cya+/PLLE5Z30UUXNXv/sWPHMG3aNHzzzTetqmdFRcUJ94k1a2hWVlbUtvr6+tDvhYWFUek7o0ePjvnFfPrpp7egpl1TUVERPvjgg7Bt/fv3x7hx40L/7927N370ox+FHedvv/0W3333HUaMGBHaFpnuBQBjx46N+bynn356s2lYLZWbmxu1raioqN3lxjJ+/Hj06NEj7v2RJ4oOhwOnnHJK1H7BGUnr6upC2zpjKZKmmh7foGHDhsHhcKC2tja0LdYxJaLOxfaY7XEQ22OJ7XFy3XfffZg9ezZ0XUd5eTm2bt2KVatWhc3OvnPnTvzkJz/B999/z9UswKWjUlJwXcerr74a1113He6//35s3bo1air8f/7zn9i4ceMJy+vfv3+z91933XWtbpgBhI2ZiqegoCBqW+RVPCD8qmis5Rjy8vJilt/cF3ZXt3Llyqj38IorrojaL9a2yKvZyXjPTjrppKhtmzZtitrWs2dPCCFCP21xos9wZWVl2P/jvXYg+vVHPjZSvCVRvF5vs4+LJ17dIre3ZFkSIupYbI/ZHp9oG9vjcGyPO9Y555yDq6++GjNnzsTtt9+OF198ET/88EPU0lL79++PWg8+XTFYThMZGRkxr0h/++23J3ys2WyOe9+uXbuiZsdUVRU/+9nP8Oyzz+K1117Da6+9hltuuaX1lY7z3CdKDcrIyIjaFm9GxY66ctoZYqV8PfXUU1HrAMaanXTFihVhDV0y3rOf/OQnUdtWrVrV5karOc19hgE5yU5Tzc3AGfn6Ix8b+fn0+Xwxy2nrZDbx6ha5PdYxJaLkY3vM9rgptsfh2B53vt69e+PWW2+N2t6WC2+piMFyGol1Ra2srKxdZW7bti1q2913343//d//xa233hq6oh4rxaejDBw4EKoa/tH+9ttvoWla1L6RY6m6i507d8a86ttSBw8exGeffRb6/+DBg6P2iffeJOo9u/DCC6NmrTx+/DgeeuihhJTfGpFX1Wtra/H9999H7ff999+HpXwBwNChQ8P+b7Vaw/5fXl4edQV+7969OHLkSJvqGqvx+uGHH8JSvoDYx5SIuga2x2yPg9geh2N73HW0JOMkHTBYThPV1dV49913o7a3dLmKeGJdpXM4HGH/P3ToEJ5//vl2PU9ruFyuqLFPhw4dwvLly8O2HT16FC+99FKn1SuRWrouZnOapn6NGDEiKp3pq6++iuql+Ne//hW1LEJbZWRkYN68eVHbFy5ciPnz53fIFe14LrjggqhtCxYsiNr2yCOPnPCxkX9THo8H//jHP8K2zZ8/P2462Ik89thjUQ3Y73//+6j9Jk+e3KbyiahjsT1mexyJ7XEjtseJVVtbi/nz5+Po0aNx9zl69Ciee+65qO2RqdnpihN8paB///vfWLlyJYDwCUUOHDgQtp+qqlGzK7bW8OHDo7Y99thjqKurw8knn4w9e/bg2WefbfcV89a6+eabo6743XrrrdiyZQsmTJiAo0ePYunSpaiqqkro8wbf96DguoFNvfPOO2HjWQYOHIgJEya06nleffXVsP+rqor/+Z//gcViifuYOXPmhI2bWb16NZYuXQqr1QpFUXDTTTdFfclfeumluOOOOzBixAjs2bMHixcvbnOjEsuvf/1rfPLJJ1i3bl3Y9kceeQQvvfQSLrvsMpxyyimw2+0oKyvDV199lbDnbuq2227DE088Efb+vPbaaygrK8Pll18eWtcxcm3CjIyMqNSlCRMmRJ0IXn755bj//vvhdruxevVqvPfee22u68aNGzFp0iRcf/31sFgsMdd1VFUVN910U5vKLywsPOHYyaKioqjP+pQpU6JO8D7++OOwNLlY5W7cuDHs6r/D4cC0adPaUnWiLoftMdvjWNgex8f2uFEi2mOfz4dHHnkEv/vd7zBx4kT86Ec/wtChQ+FwOFBSUoJvv/0Wb7zxRlRvuNFojDnGPi0lY70qSpy2rOsY/Lnllluiyou1ruOJ1uwbO3bsCZ9r5MiRJ1w/Mda6jrHWWGzJfn6/X0ycOPGE9XK5XC16zpZqy3GYNWtWq57jiy++iCpj8uTJJ3zctddeG/W4VatWhe6vrq4WgwYNatN71pZ1HYOqqqrEBRdc0ObPcUvWdWzJe7x69WqhKEqLn1dRFPHGG29ElVNSUhJzvdDIH4vFEvb/lq7r2LNnzxOW3Z41HeOt7Xqin1ifgci1K1vyE28dTKKuju1x7P3YHkdje9w8tsdSItrj8vLyNpXx6KOPtrneqYZp2GnqhhtuwDPPPJOQsl599VXk5+fHvf/GG2/EXXfdlZDnaimDwYC1a9di9OjRcfcZNWoUXnjhhU6sVWLESvm66qqrTvi4WPs0LcvpdOLvf/87+vXrF7eMKVOm4NFHH21hTVsmIyMD7777Lp566qlmZ72M5bTTTmvzFdtIl19+OdauXRs1biuW7OxsvPXWW2FraAbl5OTgT3/6U9Q4vSCj0Yj//u//xsSJE9tUz/Xr16N3795x77/uuusSfoyIqOOwPWZ7HFkW22O2x8mSlZWF5557Dvfdd1+yq9JlMFhOAxaLBT169MCPf/xj3H333diyZQuWLVsWc8mHthg2bBi2bt2KO+64AwMGDIDJZEJubi6mTJmC119/HS+++GJCnqe1evTogY0bN+KJJ57AaaedBrvdjoyMDIwdOxZPPvkkNm3a1O2WqvD5fFi1alXYNoPB0KJUmfPOOy9qpsj33nsPpaWlof8PHToU27ZtwwMPPICTTz4ZVqsVmZmZmDRpEl544QV88MEHUWPgEkFRFPz617/G/v378fLLL+PnP/85RowYgby8PBiNRthsNvTo0QNjx47FzJkzsXjxYvzwww/YunUrrr322oTVY9q0adi3bx+WLFmCiy66CH369IHVaoXVakXv3r1xwQUXYNGiRdi3bx+mT58et5yZM2fis88+w7Rp05CTkwOTyYSCggLMmjULW7ZsadfJ6siRI7Ft2zbMmzcPw4cPh81mQ2ZmJqZMmYJVq1bh5ZdfjrmGKRElH9tjtscA2+OWYHucGG63G5s3b8bTTz+NGTNmYPTo0aH30mQyISsrCyNHjsQ111yDl156CYWFhW2eMT9VKUK0caE0IiLqULNnz8Zf/vKXsG38yiYiIupcbI/TF3uWiYiIiIiIiCIwWCYiIiIiIiKKwGCZiIiIiIiIKAKDZSIiIiIiIqIIDJaJiIiIiIiIInA2bCIiIiIiIqII7FkmIiIiIiIiisBgmYiIiIiIiCgCg2UiIiIiIiKiCAyWiYiIiIiIiCIwWCYiIiIiIiKKwGCZiIiIiIiIKAKDZSIiIiIiIqIIDJaJiIiIiIiIIjBYJiIiIiIiIorAYJmIiIiIiIgoAoNlIiIiIiIioggMlomIiIiIiIgiMFgmIiIiIiIiisBgmYiIiIiIiCgCg2UiIiIiIiKiCAyWiYiIiIiIiCIwWCYiIiIiIiKKwGCZiIiIiIiIKAKDZSIiIiIiIqIIDJaJiIiIiIiIIjBYJiIiIiIiIorAYJmIiIiIiIgoAoNlIiIiIiIioggMlomIiIiIiIgiMFgmIiIiAMAbb7yByZMnIysrCw6HA6NHj8bjjz8On8/XpvI2b96MGTNmID8/H1arFQMHDsSdd96JoqKiBNeciIgo8RQhhEh2JYiIiCi55s6di0WLFsFoNGLKlClwOp34+OOPUVFRgUmTJmH9+vWw2WwtLu/NN9/ENddcA7/fj/Hjx2PgwIH45ptvsHfvXuTn52PDhg0YMmRIB74iIiKi9mGwTERElObefvttXHbZZXA6nfjss89w+umnAwBKSkowZcoUbNu2DXfffTeefPLJFpV35MgRDB06FHV1dXj++ecxZ84cAICmaZg9ezZeeeUVjB8/Hhs3boSiKB32uoiIiNqDadidqLKyMtlVoE7A45z6eIxTX7od40cffRQAMG/evFCgDAC5ubl49tlnAQBLlixp8fvy9NNPo66uDueee24oUAYAg8GA5557Dm63G5s2bcL69esT+CpaLt2ObzriMU4PPM6pL9nHmMFyJ9I0LdlVoE7A45z6eIxTXzod48OHD2PTpk0AgJkzZ0bdP2nSJPTt2xcejwfr1q1rUZlr1qyJW57T6cQll1wCAHjrrbfaWu12Safjm654jNMDj3PqS/YxZrBMRESUxrZu3QoAyM7OxsCBA2PuM27cuLB9m1NdXY3du3eHPa495RERESULg2UiIqI0VlhYCADo169f3H369u0btm9z9u3bF/o9XpmtKY+IiChZjMmuABERESVPdXU1AMDhcMTdx+l0AgCqqqpaXF5zZbakPI/HA4/HE7bNYrHAYrGcsA5ERESJwGCZiIiIupyFCxfi4YcfDtt277334p577ml32eXl5e0ug7o2HuP0wOOc+mId4+zs7E57fgbLREREaSwjIwMAUFtbG3efmpoaAIDL5WpxecEy3W53m8q77777cNddd4VtS2TPcmeebFFy8BinBx7n1JfMY8xgmYiIKI0NGDAAAHDw4MG4+wTvC+7bnP79+4d+P3DgAEaOHNmm8phyTUREycYJvoiIKKUJIVDTIJJdjS5rzJgxAIDS0tK4E2598803ABC2BnM8LpcLQ4YMCXtce8rrCDUNAprOzwQRETWPwTIREaUsIQR+OKzhH9v9qPcyOIqloKAA48ePBwCsWLEi6v4NGzbg4MGDsFgsuPDCC1tU5mWXXRa3vJqaGrzzzjsAgMsvv7yt1W4zr1/gyx/8+OBbP3Ye0XghhYiI4mKwTEREKUkIge8Oati4W0N1vQA7EuP77W9/CwB47LHHsGXLltD20tJS3HbbbQCAO+64I2z88Zo1azB8+HBMnTo1qry5c+fCbrfjww8/xAsvvBDarmkabrvtNlRUVGD8+PH46U9/2lEvKS5NB+q9AkfKdfzjez/WbfHhyx0+HC7T4dP4ISEi6gg1DQKb9/rx1S5fsqvSKhyzTEREKUfXBf59QMOWQg1GQ7Jr0/VNnz4dv/zlL/HMM89g4sSJmDp1KhwOBz766CNUVFTgzDPPxIIFC8IeU1lZiR07dqChoSGqvN69e2P58uW45pprMGfOHCxbtgwDBgzApk2bsHfvXuTn52PFihVQFKWzXmKUnAwFDitQXQ/sOKJj51EduRkKBuSpyM9UkeNUoKrJqx8RUSrw+gUKj+v47pCGY+UCA/O7V18tg2UiIkopui7wr/0a/m+fBrdDgVEF6jwnfly6W7RoEc4880wsXboUX375JXw+HwYPHox58+bh17/+Ncxmc6vKmzFjBgYNGoRHH30Un3/+ObZu3YpevXrh9ttvx4MPPoj8/PwOeiUtpyoK3HbAbVfg8wuU1wps3K3BbNSQ41QxsIeK/EwFmXYGzkREraHrAkfKBb47oOFwmQ6nDcjOOPHjuhpFCMGco05SVlbG6e3TAI9z6uMx7ro0XeDbfTJQzslQkGFTUNsgUOcBLh5ngsPSsoCHxzh11XsFVn58HNk52ciwxf48NPgEKmvl58ZqBvJcKgbkqeiVpcZ9DHUt/BtOD93tOPs1AU2Xw0H8GqALwG4BzMbU+V7RdYHiaoGdRzTsPa5DUYD8TAUmg4KiSh1uu4oLxphaXF6yjzF7lomIqFvz+gU8Phng7C/W8a/9GnJdCpzW1Dn5+P/s3Xl8XFX9P/7XuXf2NVuTdG9pWaSAUFpAWxRbFUFAZBOK0gqKiqAsfqCIfBFQi4r+rLK4oSgICEKpVZBVkQpCCxWLQBfokq7ZM5l95p7z++PMTDIzSZukSSaZvJ6PR9rkzp07d3KTnPs+533eh4aXyy7gqtA/P7GkQlNIoqFZwucWmFgpMGWcibqggNPOnzEi6lk0odAaVmjplNjTrhBPdQXKUumgUinA5RCo8gnUBg0EPQJBj4DXiZJOUxmIaELXgnhvr8Tedom0pVBbYcDtGF3voxCDZSIiGpEiCYWmDgmpkLvBsCQgJZC0FEIxhXBMB8opSyGVBhJpoL5CwMtAmQaJ2yHgdojMEmTA5j0Sm3ZLVPj0/OaJVQZq/EzTJhrrkpmpHG1hHTS2hBQiCQWlFFwOAZsJmIaA3QQMQ38uAMRTwI4WHWQaQv/N8buB+goDlT6BCq9AwC1gDuHfmLSlkEgDyZRCWgLZvONc+rECIABT6HM3hIBp6M/DMYXtzRLbmiQ6ogpOO1AdEHDZR9fc5N4wWCYiGsOSaYWOqP5oDUv4nALTak14+piuPBQsqUeI12+30NKpm2qBbFutoCBgCMBmAg4bYLcJuJ36RsRuMmChoSGEvoH1uwUsqdAeUVi3xcL/GizUVxg4qE6naY/2URSifUmm9fSEeEohmlCIJYHOmITfbaDar0dIyymleF+UUuiIAq1hicaQxK5WhXBcd9w67YDPJTDRJ2Aa+w4aXQ6gwqu/Z1IqRJNAKKawt8MCVNex6isFqn169Dng6fv3Wals9pW+bvGkQjyls2bCcd0JGEsqpCwgndaj30BXoJz9XwAQAjAyH0IAhiF0gG0pBL0GptYKGKNsRHx/GCwTEY0RUipEEkBHVI/K7m2XaOlUiGYaSUPokdt3dkkcMt7A9Dqzz3N8B0tjh8T/GixsbZRwOYAp48qv4aXRzzQEqv0C1X59k7m7XWJ7s0SFV2B6rYFJ1X2rpp0tgLNptwWHDThkgolxgfIYjelNPKnQHlUIRRUcNsDrEvA4Bdx2cHR+hIolFXa1SmxplGiPKKQyo5BS6g5MwxBIWxKmCQTcAvUVIjcqGnSXV9ZFIqXQ0qlTq3e0KrRHJGIJPcLqcwN1QQH7AXQWGIaAz4XcNCKldGAbiSu81aBgKal/b5zFqdtKAdGkQjypr1kkoTvCO2MKyUwGVtIClMwEwAJwmNmOZwG3A3B4RC4Q7olUetRZZo4hpb7mzjIZRe4Jg2UiojKVSKlcYNwalmjs0GnLsZRu8Jw2wOMUeY27VDqF7N+bLGzYJXHoBAPTak34XCI3oqBHE3RDLCXgsOu0MrupR3ntJuC0C3icfR/pjSYU3tlpYcMuC/EUML5q7IxO0OjmdghMrBKQUgeBr2+x8FaDhZpMUbDaoE6j7D7/0JIKu1oVNu62sKNF5rZtb5Y4qM7AIRNMVHrL4+YzntSpqe0RhT3tEs2d+m+HZemRKpsJOB0CLjtQ4RGo9OmU0+AwpJ5S75TSQWFDiw6S28I6vdbr0pk8Tltx50bKUgjHgE27Jd7eIeFx6krzE6sMVPsNVPlESbOWBiI7etzSKbG3Q2J3m0JnXLd9bofONKkNDt38YiF0ENs9YyXbFjd0S9122XXwmkx3BbJC6Owrh023016XgKOH69YfY3ElRgbLRERlIJnWvcehmK7i2xTSN+6xpEI6M2rsceobnZpA742lIfSIWaUvEzRvtPDOTn3TE010FdPKzWMSgCiY22QaunF22gX8LoEqvy625XXqQDpl6eOk0rphjyZ18ZPmkEK1X6CuYnTdTBEB+neqyidQ5dOjOs2dEjtbJNxOXU17co2B2oBAZxzYuMvCjlZ9k1vbrVBYZ0zhze0SW5sUDhlv4ODx5qgsVJethru9SY+4Z4OL7EjyhEoBW6YjLWXpvymJlEJDi8K7e/UxXJnU07oKgWq/Hj2r9HY9j4ZGMt01iryrTSKeBIJeYOq4/Y8Q202BSh9Q6RO5EdFQTGHve2kIoduAcUGB8ZU6cB6p1zOZ1oW5mkMSO1oU2iIS0YTu2PG7839+S8Fh00Fv99TtWFIHx0472ME0yBgsExGNMtnAOBscN4X0qE00qZBKARB6DpTbIQacEtY9aG6PKIRiOvitcAo47Og1NVopBal0EJxIAc2dEjtau4qFGIbu9e7ONPWNcV9uxohGg2xRMEBnTeztkNjWLOFx6CJ0htCF6AqzJ/xunYLZEQVee9fCu3sk3jfJwMx6c1RU3o4lFXZnquHubpdIpRUqvMY+gwu7qTvRuncKdE89fXungmXJXHAwpcZAfYWeHzsSA63RKpJQ2NEssWmPhaYOBcMEqn0C4ysH9j0uHBG1pJ4bmx0NtZuA36MDz9qAgSqfAb+7dBWgw3EdHO/tkNjZqtvXtAQ8wzB6fKAMQ8DrKvVZlC8Gy0REI5xSCs2dCnvaJPZ26OA1lsoGxgpOu74xr/EP/lI2htCjZX0lhIApkLlJAnSiZdf7kIq93jS2eJw69VQpPfpTae57TVUhBCq8QMCD3JSIrY0Sh082MaXG6PPvTzKt050jcR2wK4VcAabB7pRqDUtsb5J4LzOn1WHTgZbLMbBU8t5STzuiCmvfs2A3LVR6BaaOM1AXNFATYLr2QLWFdRXjzXsk2qMKPhcwsXrwOyJMQyDo0WnZQFen7/8aFN5UEm4HUOk1MKlaoMqnR55dQ1gsL1ukrzmksKM1Mz0grmAIPfe4vlKwYCQBYLBMRDRiJVJ6+YkteyV2t0nEU4DbqW8gx7lH35zebCBNNBYJoefx91U2u6PCq9DYofDC/9KYOs7A4ZNM1FXkB6HxpEJHZgpGe1SiLaxHyuIphWRaZ3YopTM4Kn16dHZcUBchG2hQJKXCnnaFLY0WtjdLRBJAhReYUjM0GSIOm8C4gMC4QFfgvOZdHTjXBnQ18onVxrAXJRxt0pb+3mXnkG9vlogmgaAHmDaMlYwdtq4ieUrpObhtEYldbYAhLJ2CHxSoz6RsV3gPvEMkmdbBcVNIYkeL7thJpACHXY8eV/tZUJKKMVgmIhpBlNJzpXa06FGatrCCzdQjQlyShmjsMQ2dCptI6SXVdrVJHDzeQH2FiY6IzjZpiyjEEjpt1DB08T6XQ88J7T5tIp7UUzde3WzBlhmdzaY193V0NplW2Nkq8e4eiV2tElZmxHo4aw10D5wTKYWWsMSOVomgR699PWWcAVOq/R9oDMgWnmsL63n0u9t1ocdkWv+sVPlKXydCCJ1G7HXlp2xvaZLYuEfCadMj0pOqDdRmOnn6OupcmF4diikoqTueK4d49JrKA4NlIqIRIJLQadZbmyT2tkvEUkDADUyuYXohEemaAVPGCYTjCuu3S6zfLiGgMpXnBer6kDbqcnQFB8m0Xr7ptfd04Fzt02nN9RVGXqp2NsDOVtXf3aarJNttwLjg4E/96C+nXXcmSKUQigJvbk/jnV0CXpHG0YdYmFRt9CkLJ5FSueONdkrpDpTGDoWtjRItYZ2ZZDN0ocfqIZiyM5gKU7bjKR3gr9uShiF0wcgJVXp5qlRMImXq8s+5ZY2Unj+/o0WiKaSrV5tiZBTnotGHwTIRUYmkLH0zs6PFwvYmPX/LbgcqvQL1TCUkoh74XDpYUEpBiIEvL+WwCdQEdHX8ZFqn5f57kwWX3UKN30BdhUBLZ9eodUoCZqaq/kjsxDMyc70rvCbiSYXtuyT+8b80xgUEDh5vYnJNcYp22tIFEne16Xm7SgHjKwXqgkamAvfILepUSEqdXt3YobCtWaI5JBFL6hHUCu/ozkxy2QVcdv2zakmFzhiwMbM8VSKSgjeQgkLXdAMBQEJXXw+49YoMTK+mgWKwTEQ0DKRUiCaBUFQHxS1h3ePdFtGFd4IegSnDOF+MiEa3wQziHDaB2qCu+BtPKrRm5o467ejzqPVI4nLoua5evw74V7+TRoVHYGa9gam1BpQCdrdJbG3UhZ0sqRDw6L+/3dcIrvAamFwtMC5gYFxg+Kv16w6Rnl8zO089FM20Jx26bYkl9WoIFV6B+gFWsh7JTCPbKaI7jNraBIIVQpeSFL2v1EA0UAyWh1EkoeBOqlHdu0dEvZNSIZHWNzGxpE4diyWBUEyiOaQrbcZTOkXMNPWSFOMrBra0ExHRUHA5BOrL5D7FNHQnQE1Aj5yvfc/COzstKOh1470uoK5CwGHrGqHPBmGxJNCe6TRwZIuI1RsYX2kMaO3rREohmuhqIxJpIJkCwgk9AiwlYEk9cmplPgf0MmOmoZcHMoVuO6QE2qP589S9TiBYpgFyb4TQKdUjLcuByguD5WH0xpY04ltTmFAlMKFSFynwMNWSqM/Slr7haQ3rKp52G3BQnYnagChZqpxSev7ezladxpdI6ZTGZBpQ0OlghqGXUfK6dBoZ1xImIho+2SXwqny64JMhsM+iVtnK5dl7tHhKoTksseNtiYBLzx2fXG2iyicgBFDY/KQtoDOu59mGogqNIT3qm0jpdHalp9gCAGxmJhjOHCfbPBiZ+F3l5uHqLKRsu+JyjL4Rf6LRiMHyMEpaQEdKIbxL4Z2dEn6XwMRqgfGZwJnLHRAViyYUGjt0yvLONonOmF5f2GYDLAt4b4/E5BoDM+tN1FcMX5pcPJlZ1qlRYk+7HhkIuHVxGJ9bwG5jOhgR0UgzkFFhV7ciYp0x4K0dEu/slPA4RG4p+exRhdCjwrGkHiHWga0ObqtcAnaTHaZEowmD5WHmcQB1FQakVOiMA5t2y7zAeXK1idoRUF2SaCQIRRVe3pDGzjYJIQCfC6gpqOIZTShsadRzzyZWGzhkvIkJVUOTliWlQnOnwlvb0mhNptAe0cs6Vfn0jRQREZUvQ3RVaU6l9bQaALkR3yybqdO5WXWZaPRjsFwiRrey+NnAeeMuiY279DqBU8fpeTHjAvxjO1SyqbKpzP82E/A6uebeSBGKKry0IY1dbXKflVc9Tr1sSjylU6EbmiUmVhk4bOLgBc2RhMLuNokteyX2dEi0tVqYUK9GZEVYIiIaenabziAiovLGX/MRoHvgbGVK/7+xNY312wWq/QLTaw1MqDRQ4S3dvMxyEE0obNhloaVTIZbUAXLa0vNgU1LPGXLZBLwuvQZh0KNT4x12PYco+yGEgCEAuw1w2XuvSKqUQiShg75QZq6S065TsBw2AYdNH8NpF/A4Rs/yFMMhO6K8v0C5O5ddYFK1QDKtsLtdYmebxORqA4dOMDGhsv/p2dklRRpaLGxr1NfQaQeqfQJ+00DAN/AlW4iIiIho5GOwPMKYRlcRity6hxsteJwW6isMTB1noL6ChcH6Q0q95uD6bRaaQgpuJ2A3AZsp4LHp/22mnmMUTwKhmA6SLKlLURoGYKCr8Ea2mIfN0IG03y1Q6dGjmy6HQGurhW3taezJLOMQTSjIzLp/3dO0DAOwGbp32uMAagIClV4jt4amz4UxmVXQPfV6ICO3DpsOmhMphZ0tEjtaJKbU6KB5fOW+O5yk7CoetrVJoqVTQUpdYXRqt2WdkrEDeotERERENAowWB7BsuseIghE4goNLbqYUMCt07Qn1+g0baaB9q49ovBmQxqb90g4bMDUcb2PMJpGZgF7dD2ulA50s9UoFZD7Om3pDo3dbQrbmvQ2AAh3pOGvsOB26BThSl/P10hKveRDMq0LgWzcrWBl1opwOwC3U2BipvhbtV8MqChJX0UTOqOhI6rQ0qmrTLvtBuw2/T2xm3ok3OsS8DoPbBTckipTIbr4GAcaKHfntAtMqhGIJxW2NUk0tEjUBgxUeIGAx9DXxyHgdghYSqGxXWXW3JSIp/UyHHpJEf5+EREREY1FDJZHCa9LwOvS85tDMWD99jTe3in0un91BiZUDWzdv5FASp0SHU/p1NeA58ADlJSl8N4eif9ut9AZU6irEANa31oIva7hPvYo2hJyGggE95+iaxgCjkyA3v3aSaWQSOkA9s0GC3K7BZ9Tp+RPrDJQ5Reo8Q88kMymh7dHFNojEnvaFdrCCpGkHkW1mTrwz46sd50v4LbrEe9xQT0KHvAI+F0CTjt6PZ9IQi+dEYoqNHdKNHYoGAYQcAtUeAQ8LgGPQ8/9emOLNSiBcncuh17mI5ZUaI9K7O1AXtaAM/NXMJrQFUsrfAP7WSEiIiKi8sJgeZQxDIEKL1DhNZFIKbRGMuv+uXVAMCVTTXukpu+G4zrNtS2slwCKJPSoaioNpKVC2tIdA/UVAvUVBqp8BgLu/S+zEE/qOaWdMX38xg6JvR0KfrceTR5N84ENIfTIskOg2q+D52gC2Nshsb1Zwm4C1X7dSVJXoQPOfb0/S+pAtSOqg+Ld7QqhqEQ8pYNih10XNpvYywh49+PEkkA4odDUoCCVhGno0VnT1KntdlOnpjtMPR+7PQJ0RBWi3QJxjxNIp4FdbQpbu43I200gZWHIima5HcVBsCV1xwQA1AY5b5yIiIiIujBYHsWcdh1UZtf9e3uHxIadEuMCBmbUG5g4wNFmS+rA07KAtNTpxpbU29NWVxqyVOiWoqzgsus5uy67Pje3Q4/ctUcUWjr1mrTNIYVwXEdHNlOPqtpMwGEX8JgCpqFH+Dbulnh7h4THCQQ9BiZVC9hNoV8PXWnRlqXQElZoi+iiXWlLzyt2OYCJVQL2MkihNYQezc1ey0RKjwi/9I6E2wmMrzQwpcZAjd9AMq0D2mhSIRpXaI/pIDkSV0imAAid4u11CdQE+rfWo2nknwegMwFiycx875RCJDM/W0q9zWHbdyp6llL62tnM4Q1YTUPA4xy2lyMiIiKiUYTBchnovu5fMq3QGpZY/Y5EwKWLEk2tMTEusP9qwNGEXnrn3T0SrWGJtEQu8MkWp8r/P/OZAITq2i4yqa22TPAbies0a2emGFaVb9/n4rDp9QmV0oFYR1SnCovcq3Y9Vwh9XLdDoC5YHsHx/jjtAnUVIpdOvb1Z4r29Em5HZh61lbkOQn8vs9/PfVXuHiibKeB3Z78a+LGF4BIcRERERDSy8Pa0zDhsXaPNoSjwv+0WNuyUqPKJXKGogFvk5gUrpdOWswFXe0TpeZteXSHaFP0bfQT0CHQqrQtXWVLPbx3IHGQh9KgfK3/3THQbcZZSIZ7KVvlmOjERERER0YEaEcHyI488gjvvvBNvvPEGkskkZs6ciQsvvBBXXXUV7HZ7n4+zbt06/O1vf8Ozzz6LN998E62trfD5fDjiiCNw/vnn49JLL+3X8UYzQ3TNbY6n9FzexgYLUumRRq9TF4lSCtjZKhFLAkHvvqtF95VpCJgOnQpNw8NgOjERERER0aAqebB85ZVXYvny5bDZbFiwYAF8Ph+ef/55XHfddVi1ahWefvppuN3u/R4nnU5j9uzZAACfz4e5c+eirq4OO3bswMsvv4zVq1fj97//PZ566ilUVFQM8bsaWVx2AZe9KwBOpnXBqG3NEkoBVT6B+kqORBIREREREWXtf32bIfT4449j+fLl8Pl8eOWVV/DUU0/h0UcfxaZNm3DkkUdi9erVuPHGG/t8vGOPPRYPP/wwmpub8fzzz+PBBx/Eiy++iHXr1mH8+PF49dVXcfXVVw/hOxodHDaBCq9ehmhStcE0ZyIiIiIiogIlDZa/973vAQCWLl2aGxUGgJqaGtx1110AgDvuuAMdHR37PZbNZsPatWtx7rnnwunMz0c98sgj8YMf/AAA8NBDDyGVSg3WWyAiIiIiIqIyVLJgeefOnVizZg0AYNGiRUWPz58/H5MnT0YikcATTzxxwK93zDHHAABisRiam5sP+HhERERERERUvkoWLK9btw4AUFVVhenTp/e4z5w5c/L2PRCbNm0CADgcDlRVVR3w8YiIiIiIiKh8lSxY3rJlCwBgypQpve4zefLkvH0HSimVS8M+7bTTitK0iYiIiIiIiLorWTXszs5OAIDX6+11H5/PBwAIhUIH9Fo333wzXn75Zfh8Ptx222373T+RSCCRSORtczqdDLKJiIiIiIjGiJIvHTXUfv/73+OWW26BYRj4zW9+g4MPPni/z1m2bBluvvnmvG3XXXcdrr322gM6l85QG5JCwi1KWleNhlhnqK3Up0BDjNd4dInGFWJJoLXVjkQfq/+3tfV8jTmNh4iIaOwoWbDs9/sBAJFIpNd9wuEwACAQCAzoNR555BFcfPHFAIBf/epXOPfcc/v0vOuvv75oianBGFn2B1JIiAoEggyWy10gyBvqcsdrPHqYTgUzAVRV2eHtx1J5DIyJiIjGtpJFbdOmTQMANDQ09LpP9rHsvv3x2GOPYdGiRZBS4he/+EUuaO4Lp9OJQCCQ98EUbCIiKlednZ345je/iUMPPRRutxs1NTX45Cc/ieeff35Ax3v99ddx++2344ILLsAhhxwCwzAghMD9998/yGdOREQ0dEo2spxdyqmlpQVbtmzpsSL22rVrASBvDea+ePzxx3H++efDsizcfffd+OIXv3jgJ0xERFSGGhsbceKJJ2Ljxo0YP348Tj/9dOzduxdPPvkknnzySSxfvhxXXHFFv455yy23YOXKlUN0xkRERMOjZCPLkyZNwty5cwEADzzwQNHjq1evRkNDA5xOJ0499dQ+H3fVqlU477zzkE6ncffdd+NLX/rSoJ0zERFRubn00kuxceNGLFy4EJs3b8bDDz+MF154AX/5y19gGAauvPJK/Pe//+3XMU844QR885vfxJ/+9Ce8++67+PCHPzxEZ09ERDR0Sjp59pvf/CYA4LbbbsPrr7+e297S0oLLLrsMAHD55ZcjGAzmHluxYgUOO+wwLFy4sOh4TzzxBM455xyk02n8/Oc/Z6BMRES0D2+99RZWrlwJ0zRxzz33wOPx5B479dRTsWTJEkgpsWzZsn4dd+nSpfjud7+Ls88+GwcddNBgnzYREdGwKGk17DPPPBNf+9rX8NOf/hQnnHACFi5cCK/Xi+eeew7t7e2YN28ebr311rzndHR0YMOGDYjH43nbGxsbcdZZZyGZTGLSpEl46aWX8NJLL/X4urfffjtqamqG7H0RERGNBitWrAAAzJs3D1OnTi16fNGiRbjnnnuwatUqpFIp2O324T5FIiKikin50lHLly/HvHnzcOedd+Kll15CKpXCjBkzsHTpUlx11VVwOBx9Ok40Gs2tjbxjxw787ne/63Xfb3/72wyWiYhozFu3bh0AYM6cOT0+nt0eiUSwadMmHH744cN2bkRERKVW8mAZAM477zycd955fdp3yZIlWLJkSdH2adOmQSk1yGdGRERUvrZs2QIAmDJlSo+PZ1eECIVC2LJlC4NlIiIaU0ZEsExERETDr7OzEwDg9Xp73cfn8yEUCiEUCg3XaQEAEolELmMsy+l0cilHIiIaNgyWiYiIRqFrr70Wf/7zn/v9vF//+teYP3/+EJzR4Fq2bBluvvnmvG3XXXcdrr322gM6biypEO5sg90GqKQ4oGPRyNUZaiv1KdAw4HUeXcIhCSNloLW17/Uv2tqKr3FVVdVgntY+MVgmIiIahXbt2oUNGzb0+3nhcDj3ud/vB6DnJO9v/0Ag0O/XOhDXX389rr766rxtgzGyHEsq+Pwp+INV8LsZLJezQHD4bqipdHidR484JPweA1VV/SsWOZzBcaGSLh1FREREA3P//fdDKdXvj0984hO5Y0ybNg0AsH379h5fo3v6dXbf4eJ0OnNzprMfTMEmIqLhxGCZiIhojJo9ezYAYO3atT0+nt3u9XpxyCGHDNt5ERERjQQMlomIiMaoM888EwDwr3/9q8fR5QceeAAAcPrpp3ONZSIiGnMYLBMREY1Rs2bNwqc+9SlYloVLLrkEsVgs99iTTz6Je++9F4Zh4Prrry967kUXXYTDDjsMd9xxx3CeMhER0bBhgS8iIqIx7Je//CXeeustPPvss5gxYwZOPPFENDY24oUXXoBSCsuXL8dRRx1V9Lzt27djw4YNaG5uLnrsr3/9K2699dbc12+99RYA4Nvf/nZecP3vf/97CN4RERHR4GCwTERENIbV1tZi7dq1WLZsGR599FGsXLkSXq8XJ598Mr7xjW9g4cKF/T5mU1MTXnnllaLt7777Lt59993BOG0iIqIhJ5RSqtQnMVY89uJeJEQF6iqY/V7OQh2tXMagzPEajy6RuEI0AZw2xw6vs29LBbW2tpZ0qQoaOrGkwkPP70VVNZeOKmf8Oz028DqPLo0dEkGPgVOO6XsNjFK3x4zaiIiIiIiIiAowWCYiIiIiIiIqwGCZiIiIiIiIqACDZSIiIiIiIqICDJaJiIiIiIiICjBYJiIiIiIiIirAYJmIiIiIiIioAINlIiIiIiIiogIMlomIiIiIiIgKMFgmIiIiIiIiKsBgmYiIiIiIiKgAg2UiIiIiIiKiAgyWiYiIiIiIiAowWCYiIiIiIiIqwGCZiIiIiIiIqACDZSIiIiIiIqICtlKfABEREVEpKaWgACjV7QO9f44eHgMAmfkk+3Xu/x625V67h229EaLb5wXbheja1vW1yHtMCMAQXY8b2Q+j+z7dj0xENLYxWCYiIqIx4zuPxvHyO06YZgKG0fdAdazQQbTIBdGGAEyjW3BtAKYhYGa2668znwvAMETu664Pvc1mdD3Hlt1udu1nMwDTFLn9TAOwmXo//VjXMRjUE9FwYLBMREREY8ZBdQa27ZFwuw047SI34pqNvYyCkVgBANmR2OzneY+JvFFdQ3Ttg8JjdNuWJYo+yR81BrpGs6Hyv+4+co3uI+CZr2VuxFs/IDOj4bLbvt23WTL7uYKUeptUgJT6sa6vFVKy6zky97mCJfd/DQZDLgA3ewiqDUBadrhdSdjM/EA9u1/352YD+mxA3hW8Fwf+Rrd9CzsKGMATlR8Gy0RERDRmLJrvgJFMoaraD7+bwc1gU5mg3JJdgXRa6kC66/PMhwWkMwG2JYG0lX1M6f2szP6Wynue3q9gHwmkLYVoWj+eSAqgU8GSwxS9Ixs0i7wR99xovBB5I/V5n2dG5LunxRemyHcf7RfI36d7Sr3IdN6YRrfU+2wwD0AYutNH/y9yj2c7dfKOl/daIi+Nv6f/u1L8+XtF5YPBMhERERENCiG6UrQLHhnW8wh1RBAI+vKC965gXAfWVvfgvSBwL9yv+zFkdr+CToHsyHpuNF7lP5ZOd43ed99Pdhv1Lwddc+KLOwDy0vkzHQhCAGbmse4dCd3T+rt3MpiZ55oGkEyY8HrTRSn/hR82Q7+WzeyaApCflcDsAOoZg2UiIhoVsje92ZtQpbqnf+obTqWKU0ujCYVUutRnT0Sl0D14d+Td9Y68oCj7N6ynv3HZv2mWVEV/47J/F/O3q6J9evr7mN1X7Xef7GMq73iFn+e2yeLXl906CBT0e0lZ+X/H8zsSVG4qQW8sywbTHJw/8EJ0pd7bzGxgLXJz5W0mYDcBmylyj9sNwGYTme2APfOYPfeR+dqmP7dnPreZujOBRj4Gy0RENGBS6UA0mQYSKYVk5vNkWt8EJdN6ZCaZBlIWkLIU0pYenUlZ+rHsaE82pTKXXtl9xCYzh3JA5yiBKr/A4o84B/fNExENIiOTC20agL3XvcZWgJXXSdotqM52kHZ0dMDjDebaEJ3qX5whYFlKj/Rn2ptUJkMg29aksu1QtzYplWmPYknk2q20HHhbVMg0uoLnbGCd+zwTgNtNwGHrtj3zmKNgP4ct//ksgjd4GCwTEY1xSunANpoAYkmFaFIhntSf5/5P6WA4nkLu80RKB8UHInuz0D0Vzm4TcIr84juGEHlVdovm9hkibx5f97l0yZQ+FhERjS7dMwOKOxAEbJZCIFiU8z+kpOq50zeV26a6Pk93+7xbh3FxRzIQTyl0xoFUGkgdYKU8IXTwXBhU222Z4Lvb6LfNJuDIjXjrz23dR8K7jYxnR83HUjDOYJmIqAwppYPZSEIhHAcicdX1eUIhmlCIJrKf697z/TEMwGUXcNoBn0ug2g84bQacdt2r7cj0djvt3RrlvJ7yrsY2O29sOBrbSFy/RyIiogNlCJFp87JbBr8dU6orAC8KrNMKSSsbVGeyuywgnbddd2Z3HUMhEs8G5nJQ5sfntedmV3DdPYXdVvB1LKkwo05hX7kTIw2DZeqRJbvSKVPpzOeZX8S07Oohs2RXukreXEKpcvNtelJYXbF78QZbt/kg9swNtT13E951Q243x06vFlF3UulGLxRT6Mx9AJ1xhXBcfx2O68a1N6Yh4HUBXqfAuADgdRpwOwU8Dh0Qux2A2yngsgNuh/7fxt85IiKiISdEpqPZBnicwGAG5EqpXJp5j1Oluo12pzOj5Kl0t88LHusekEcT3WOE4tHxlNVT8b+RjcFymcqOKsWSOq0jm04ZTxWnVGbTKeOZ/xPpwZuPMZSE0IGzO3Nz73J03dS7HAJeJ+BxCHicAh4n9P8Ona5JNJKl0gqhmEJ7VCEUBUJRhY6o3haKKYRjvRc9cTsE/G6BKTWAz2XA6xLwOQGvS2Q+10EyO5uIiIjGHiG6RnzdDmCo5sHLTFCeTVm3JLCnXaLGP7qiZQbLo0D3+YTRhMrMKdRBbywBRJMqN9dQfwDx5P4rCAJdAafTrgNOvxtw2kTX6G23UdzsHAezezXAgpL72dFi0+iaM9jzeyqsjqjPN51ZLzFd2GOVSS0pLCIUzwT+0aRCaxhIpvcf5XucAj6XDqZ92QDCBfhdOsjwu3UwwSqFNFQsqYPfjgjQngmEO6IK7RH9fzTR8y+v2yEQcAvUBgQCHv15wN31c+tz6d9LIiIiolIyhICRiRmykmkx6ta3Z7BcAlLpUV4d+Or/s8Fv3rZugfD+5hMKoW+k3Q6gyifgdhg6jdLRNfLqdgBOh4A7M/Lqsuv0jpERFA7OOViyqyBRtPv3MTNHM5zomrvZGgbSvRRQEEIH0tkAOuBGV3Di0ds8zpHyvaORRin9c9cWyQ+C2yL6885Yz7/PPpdApVdg2jgDQU8mIPYAwczPncPGnzciIiKi4cJgeZisWpvCH152IJpKoi8F7uymDsay8wk9TgMeh4DbqQNgTy7FWH/ttDNwA7rNw3Tt/3uhlB6hDsf1/E49zzOT5hrXqa+hmMKutp4vmGl0BdHBboG0KQUmmAoBj96HylPKUuiI6FTp9oj+vC2i0B4FOiIKqR7mCzvtAhVegQmVBiq8+ucm6AUqMj9DHBUmIiIiGjkYLA8jIRQqvQJVfgOeTPEcj6Nb8OsUuYDYzpvmISeE7mRw2nVV395YUhdPyhZTCkUVOjL/h6LA7jaFbU1dAbVlOWCauvSu390VRGcD6qCnK8DmSOHIJaVewiEvIM783xJyIJ4uLq9sCH1tJ1YLVHh0QJwNiiu8Am4HrzcRERHRaMFgeZicPseOVCyFhPCirmJ0TWwf60xDoMILVHh7DnSU0vOmsyPRe5oTSMGZm4faFlHY2drz6LTTng2ikZfiHfBkU8A5Oj1UUla280N3hHR0mzucvZY9VXN3OwR8ToXp9aYOhj1dAXHAzQJyREREROWCwTLRARJC5OaH11UAdR4LgWD+r1bKygZgyAvGOqI6YHuvsfcK5B6nHpH2uXRA7XNnCpS5AF+mWJmb86dzspXgw3E9MhzOpNd3xvX3PZslEEv2PG8424ExI5A/Kpz932ETCHVEEAjuIx2BiIiIiEY9BstEw8BuClT7e0/3lpmCUKFuywN1RnWwl11Ht7Gj9wrnhsik8TszS2Z1+zxX5M2RWUM38/VoGbEuXAYtmuwq4hZJANFMwbZIppBbJNH7+sKGAHxufS38biNTTbrbvHOPgMs+Or4vRERERDS0GCwTjQCG0CPHPpfAhF72yQbUuiCZQjgGhBP680gciGQqfreFgVQfqsjZTb0smMOulwvLzt922PRyYHZTZP7vWiosuzyYmV0mzAAMoOdi5gqwckuD6f+zX6cslVu0Pvd5Wq/xnUwBiXTX+t+JdM/p0HnfP0MXw/M4dYeEz2Xoauburu9rdjSeI/BERERE1BcjIlh+5JFHcOedd+KNN95AMpnEzJkzceGFF+Kqq66C3W7v83FaWlqwatUqvPbaa3jttdfwn//8B7FYDAsXLsSzzz47hO+AaOh1D6j3J5lWeetyxzIjsfEUcl93BaN6v7YIkEj1oVT7EDKNTNBu0yPgQQ/gtHctg+ZyAO7MMmjZAnlel14GTTAIJiIiIqJBVPJg+corr8Ty5cths9mwYMEC+Hw+PP/887juuuuwatUqPP3003C73X061osvvojPf/7zQ3zGRCOfw6ZHiHsrStYbpRRSFnKjvuluI8BpC7CUnlvdfZR4X0uAmwaKRqNNQ2RGqotHsLl0ElFpdHZ2YtmyZXj00Uexfft2eL1eHH/88bjmmmuwYMGCfh0rGo3i+eefx9/+9je8+OKLeO+995BIJFBXV4d58+bhiiuuwLx584bonRAREQ2ekgbLjz/+OJYvXw6fz4cXXngBs2fPBgA0NzdjwYIFWL16NW688UbcfvvtfTpeXV0dvvSlL2H27NmYPXs2XnvtNXz5y18eyrdAVFaEyKRm5/4yMHglKneNjY048cQTsXHjRowfPx6nn3469u7diyeffBJPPvkkli9fjiuuuKLPx3vggQfwxS9+EQAwdepULFy4EDabDW+88Qb++Mc/4uGHH8att96KG264YajeEhER0aAo6RpG3/ve9wAAS5cuzQXKAFBTU4O77roLAHDHHXego6OjT8f7wAc+gJ///Oe49NJLMWfOHDidzsE/aSIiojJy6aWXYuPGjVi4cCE2b96Mhx9+GC+88AL+8pe/wDAMXHnllfjvf//b5+PZ7XZcfPHFeP3117F161Y8/vjj+NOf/oSNGzfiRz/6EZRS+Na3voUXXnhhCN8VERHRgStZsLxz506sWbMGALBo0aKix+fPn4/JkycjkUjgiSeeGO7TIyIiKntvvfUWVq5cCdM0cc8998Dj8eQeO/XUU7FkyRJIKbFs2bI+H3Px4sW45557cMwxx+RtF0Lg6quvxsKFCwEA99133+C8CSIioiFSsmB53bp1AICqqipMnz69x33mzJmTty8RERENnhUrVgAA5s2bh6lTpxY9nu3MXrVqFVKp1KC8ZjaIbmhoGJTjERERDZWSBctbtmwBAEyZMqXXfSZPnpy3LxEREQ2ebGd0tnO6UHZ7JBLBpk2bBuU1s8cZP378oByPiIhoqJQsWO7s7AQAeL3eXvfx+XwAgFAoNCznlJVIJBAKhfI+EonEsJ4DERHRUNtfx3UgEEAgEMjb90CsX78ef/3rXwEAZ5999gEfj4iIaCiVfOmokWjZsmW4+eab87Zdd911uPbaaw/ouJ2hNiSFhFuUtK4aDbHOUFupT4GGGK/x6BKN67XFW1vtSDj7VuG9ra3na1xVVTWYp1Zyfe24znYcH4hwOIxFixYhnU7j5JNPxumnn77P/ROJRFFHtdPpZPFOIiIaNiULlv1+PwCd2tWbcDgMALle7eFy/fXX4+qrr87bNhgNtD+QQkJUIBBksFzuAsHyuqGmYrzGo4fpVDATQFWVHd4+BsvAyA+Mr732Wvz5z3/u9/N+/etfY/78+UNwRr1LpVI499xz8eabb+Kggw7qU3Gvoeq4jiUVwp1tsNsAleTyeOWKnZpjA6/z6BIOSRgpA62t9j4/p6fO6+Fsn0sWLE+bNg3Avgt8ZB/L7jtc2HNNREQj3a5du7Bhw4Z+Py/bEQ0MT8d1Op3G+eefj7/97W+YOnUqnn/+eYwbN26/zxuqjutYUsHnT8EfrILfzWC5nLFTc2zgdR494pDwewxUVfU9WAZK23ldsiHObDXMlpaWXudBrV27FgDy1mAmIiIi4P7774dSqt8fn/jEJ3LHyHZGb9++vcfX6J5+PZCOa8uycOGFF+Kxxx7D5MmT8fe//73Hqts9cTqduTnT2Q92ZBMR0XAqWbA8adIkzJ07FwDwwAMPFD2+evVqNDQ0wOl04tRTTx3u0yMiIip72c7obOd0oex2r9eLQw45pF/HtiwLn/3sZ/Hwww/nAuXelookIiIaiUo6efab3/wmAOC2227D66+/ntve0tKCyy67DABw+eWXIxgM5h5bsWIFDjvsMCxcuHB4T5aIiKjMnHnmmQCAf/3rXz2OLmc7s08//XTY7X1Pm5NS4qKLLsJDDz2UC5RnzJgxKOdMREQ0XEoaLJ955pn42te+hnA4jBNOOAGnnHIKzjnnHMycORPr16/HvHnzcOutt+Y9p6OjAxs2bMC7777b4zFPOOGE3Ef2uWvWrMnbnl22goiIaCybNWsWPvWpT8GyLFxyySWIxWK5x5588knce++9MAwD119/fdFzL7roIhx22GG444478rZLKfH5z38eDzzwAANlIiIa1Uq+dNTy5csxb9483HnnnXjppZeQSqUwY8YMLF26FFdddRUcDke/jvfKK68UbQuFQnnbm5qaDvi8iYiIysEvf/lLvPXWW3j22WcxY8YMnHjiiWhsbMQLL7wApRSWL1+Oo446quh527dvx4YNG9Dc3Jy3/Y477sDvf/97AMCMGTOKOr2zDjvsMCxdunTw3xAREdEgKXmwDADnnXcezjvvvD7tu2TJEixZsqTXx5VSg3RWRERE5a+2thZr167FsmXL8Oijj2LlypXwer04+eST8Y1vfKPf055aW1tzn//jH//odb8Pf/jDDJaJiGhEE4rR5bB57MW9SIgK1FVwneVyFupo5TIGZY7XeHSJxBWiCeC0OX1fZ7m1tXXEr7NMAxNLKjz0/F5UVXPpqHLGv9NjA6/z6NLYIRH0GDjlmL7XwCh1e8yojYiIiIiIiKgAg2UiIiIiIiKiAgyWiYiIiIiIiAowWCYiIiIiIiIqwGCZiIiIiIiIqACDZSIiIiIiIqICDJaJiIiIiIiICjBYJiIiIiIiIirAYJmIiIiIiIioAINlIiIiIiIiogIMlomIiIiIiIgKMFgmIiIiIiIiKsBgmYiIiIiIiKgAg2UiIiIiIiKiAgyWiYiIiIiIiAowWCYiIiIiIiIqwGCZiIiIiIiIqACDZSIiIiIiIqICDJaJiIiIiIiICjBYJiIiIiIiIirAYJmIiIiIiIioAINlIiIiIiIiogIMlomIiIiIiIgKMFgmIiIiIiIiKsBgmYiIiIiIiKgAg2UiIiIiIiKiAgyWiYiIiIiIiAowWCYiIiIiIiIqwGCZiIiIiIiIqACDZSKiMSZlKVhSlfo0iIiIiEY0W6lPgIiIhkY8pRBPAomUQiINSKm320xAKkBKBUDBbhNw2gCnXUAIwJJA2lKwJHIfhgBcDsDtEHDaAUOIkr43IiIioqHGYJmIqIxYUqE9ohCKAU4b4HEK1PgNVHgF/G4Bj1PA7dCBcyShEE0C7WGJtogOrBUA0wDspoDPJXSAbAfiKaAtrBCKKsRTgFIKhgFUeAQCHgbOREREVH4YLBMRlYFIXKE1oiClDmCPnW5gYrUOku3m/oJZE0plg2DAbgNsBiAKRo/TlkIkAYTjCuG4QmtYYtNuCUsClT4GzERERFReGCwTEY0yqbRCLNmVZm1JwOMEptYYmDbOwPhKA057/4JXIfSI877YTIGgBwhmRpKVMlDhsbBmswWAATMRERGVFwbLREQjXNpS6IgqhGM6TdpuAi67QNBjYEadQNAjMC4gUOEVRaPBQ0kIgcMmmgDAgJmIiIjKDoNlGjJKKSTTupCQJXV6pyUBqVSu0BCgb/5VQWFeI3O/LYT+MISAIfRcStPM/G+wyBCVL0sqhKJAKKYgAAS9AkdNM1Dl03OJ/S4Bl6P0P//ZgFkIgVc3p6GgUOXjQgtEREQ0+jFYpkEhlUIiBcSSOj00ldbbnTbAMADDEDCgA12bIWDadECsg2F9w58NkKXSgXa2Cm92W8oCEikdRKRlV+CdDRccNv1htwk4bIDLXjznkmgkS6b1XOBwTP/MBz0CsyYbmFBpojYo4LCNzJ9nIQQOnWBAwIZXNqcBSAbMRERENOoxWKZ9kkohbWWXktHrs6at7OcAlB4ZFtDLyrjsAlNrBKr9BgJuAa9LV9U1DF0wKPt/f4JYpRSk6npN/foq93k8pRBNKIRiulJvLAl0JBT2JAG7TSHo0efBUWgaaSypEI7rglnJlC6sFXALvG+SwPhKE7WBkTF63BdCCBwywQAyAXMyLXU1bbue69wTS3Z1sgFAhVfANEbH+y03nZ2dWLZsGR599FFs374dXq8Xxx9/PK655hosWLCg38e744478OKLL2L9+vVobGxER0cH/H4/jjjiCHzmM5/BpZdeCrvdPgTvhIiIaPAwWB5jlNKjst0D4LTVtS0tAaEAJQAoPfJrM3WAazMEbKaALxN8+pwCTkfX+qw+l4DP1fuN8UAJIWBmUrCduXur3l8jmVaIJBRaOxV2tErsaVdoCSmYNoWgW8DnZuBMpRVL6p9JSwI+l8CkKgMTKg1U+gQqfX2pXj0yZQNmw7DhnZ0Wokm93JQlFYTQmR+mAcSSeuqFEHpZKrdTQCmgoUnB5VSo9g/8e2DJ/PWhLQnEk4q/8/vQ2NiIE088ERs3bsT48eNx+umnY+/evXjyySfx5JNPYvny5bjiiiv6dczbbrsNe/fuxaxZs3D88ccjEAhg586dePnll/Hiiy/ivvvuw7PPPgufzzdE74qIiOjAMVguA5bsGu3VQW/+aLBS2bFfzTR1gSDTELCZgNuh1171OPTnTruA3QY4MunMdjP/c2OEj/zocxWo9AIz6k2E4wqNHRI7WyV2tylsbVQYX6nfK9FwUUqhMwa0hiUcNoHJNQZm1Juo8evfv3IhhMDB403MrDcQTepR80hcoTOm0NypkEoDM+t1UTLdwSbgdeqske3NEht3W9jVqmA3FWoC+089zxudT+tg3JataWDojjaXXa8FbTeH6Zswylx66aXYuHEjFi5ciD//+c/weDwAgCeeeAJnnHEGrrzySnz4wx/GUUcd1edjPvTQQzj66KOLguHt27fj4x//OF555RV897vfxbJlywb1vRAREQ0moVRhaSUaKo+9uBcJUYG6ir7N5YsnFRJpHfxa3UZ+pdShbzYENozs6K8Ofm0m4LYLeJx6xMZlF5mAVweShYHwYI8Ej2ShqMKbDWls3C3hsgPjAoNfPTjU0YpAsGpQj0kjS3+usVQKbWFdrMvnFpg2TmBarU6x5pz6YilLYUeLXr95V6uEUoBhZmocIFMDQejOwERKf+51CowLCoyvyKwrbcv/e2gz+t/J19raiqqq8v89fuuttzBr1iyYpol3330XU6dOzXv8C1/4Au655x6cf/75ePDBBwflNe+77z5cdNFFmD17Nl577bVBOWZ/xJIKDz2/F1XVVfC7+TtYrtgWjw28zqNLY4dE0GPglGP6Pg2n1O0xR5ZHkOwISWdMj5C47YDLoUdWXJng12UXmW1dI772bGErs2s7b8J7FvAInHCwDfUVEm9stbC1SWF8BUbNvFAaPbJBckcUqPYJHH+wgck1Zm6NYuqZ3RSYXmtiSo2BXa0KTSGZVyshO2XENID6CoEqn05fZ6bIwKxYsQIAMG/evKJAGQAWLVqEe+65B6tWrUIqlRqUecY2m771cDqdB3ys0caSKtPpw59XIqLRgMHyCNAaluiM6s99LoGp4/T8xWq/TlFk8Du4DEPgoDoT1X4D/92WxubdEh6XQo2fI3104JTSAXJbWBeXO+FgAwfVmWWVaj0cTENgco1OV6ehs27dOgDAnDlzenw8uz0SiWDTpk04/PDDD+j1Ghsb8f3vfx8AcMYZZxzQsUYDSypEMtMEEplpAkoCgITLIeB16Y5wzqknIhqZGCyXUCqtsLNVwecSeP80A7VBvYYqb6qHR9Aj8MFDu40yN0qMrzLgsvP7TwPTEVVoDSv4XQLHHmRi5ngTPhd/nmjk2rJlCwBgypQpPT4eCAQQCAQQCoWwZcuWfgfLDzzwAJ5++mmk02ns3r0b//rXv5BIJLB48WJcffXVB3z+g0UqndGVSgNux8CnJ6UthUgCiCYU4inAzEwTmFBl5KYJWFJ3ku9qVeiIKjSHFABdPb7Sx4rwREQjyYgIlh955BHceeedeOONN5BMJjFz5kxceOGFuOqqqwaU8vXaa6/htttuwz//+U90dHRg/PjxOO2003DjjTeitrZ2CN5B/7VHdIrm1FoDx0zTo5w0/ExDFyMaF9CjzO/tlXA5dGEh9vRTXyilEIoBrZ0KXifw/qkmDh7PdGsaHTo7OwEAXq+31318Ph9CoRBCoVC/j//qq6/id7/7Xe5rIQSuuuoq3HTTTXA4HPt8biKRQCKRyNvmdDoHLX27LdMOS6XnwzvsgMMUaAsrAAqVPr3CQ28ZR0rp0eJoQgfI6bSeI+9xCtQFDYyvNFDpFT1OE5hUbeDIKfp5bWGFlk6Jrc0SDc0KNlNXhOfUAiKi0it5sHzllVdi+fLlsNlsWLBgAXw+H55//nlcd911WLVqFZ5++mm43e4+H+9Pf/oTLrjgAqTTacydOxfTp0/H2rVrcccdd+CRRx7B6tWrMXPmzCF8R/tmSaChWcJhA+bOMHHYJHO/1V5p6FV4BeYdZsPEKon/brNYMZv2SyqF9ohCRwTwuwWOnm7ioFoDlT52fNHwuPbaa/HnP/+538/79a9/jfnz5w/BGRX7yU9+gp/85CdIJBLYunUr7r//fvzoRz/CY489hieeeGKfI9XLli3DzTffnLftuuuuw7XXXntA55SyFJBqh88tUOET8Lt1RpfXATjsOlhuaLawq0liawLwOHUbIRUQT+oCYcm0LrHptOl2ojYgUFVjIOgRCLjz10ePhYHYPs7HawDeIFDvVdjdJrG1SaJhl0Qqrets+D0jJ01bKV3RHtBLvwGZtTaE/nokjYp3htpKfQo0DHidR5dwSMJIGWht7ftgaFtb8TUezoJfJQ2WH3/8cSxfvhw+nw8vvPACZs+eDQBobm7GggULsHr1atx44424/fbb+3S8Xbt2YfHixUin0/jFL36BSy+9FABgWRaWLFmC+++/H4sWLcIrr7xSsrmpnTGFabUmjpluor6PVbFpeJiGwIx6E7VBA+u3p7Fpt4TNVKgLChZjoRwpFdrCEi1xPSd5zgwD02o5kkzDb9euXdiwYUO/nxcOh3Of+/1+AHpO8v72DwQC/X6tLKfTiUMPPRS33norjjrqKJx33nlYvHgx1qxZ0+tzrr/++qJU7cEaWT79A0BNTXWPj00CcOTBelrF7jaJd/daaOlUMA3AHxSY4hUYFzTgdwn43bqzbLDWRq+vBY4+RKEppNDQIvHeXom2qILTjpIVspNSoTMOhGIK6TTgytzjqswHlF433bL0/x4nijoMSoVVkseGwbjOluxaeabrfwUhgEov7wMHSxwSfo+Bqqr+ZQ6Xshp2SZeOOu6447BmzRp85zvfwQ033JD32OrVq3HiiSfC6XRi7969CAaD+z3etddeix/+8If46Ec/imeeeSbvsXA4jEmTJqGjowN/+9vfcPLJJw/qe+mLp9fsRXV1NWZNMkdEI0K9k1Jhe7MeZW4OKdhs+o+ltw/zT7mMQXlKpBRaOhWSKcBmtWH2YTWYVss5yeWq1EtVDJezzz4bjz32GK6++mr86Ec/Kno8FArl2t8333wTs2bNOuDXlFKioqICnZ2d2L59OyZPnnzAx+yv/lzftKXQElZwmHr5t8EKjPsiksiMNjdK7G2XiKWAgFuPdA/lso9pSyEU02vDKwX4XQL1FXrudaVP6FFllQmYFSCVnu/d0imxvVmiPaLnbDvtenS8FEXM2BaPDQdynS2pM8RCMV18z25klmM1BEwTcNqApKWnWVX7BQL96BRXSq/ikLKAZFq/VoWXNQm4dFQ/7Ny5M9ejvGjRoqLH58+fj8mTJ6OhoQFPPPEELrjggv0eM7sERk/H8/l8OOOMM3DffffhscceK0mwPGeGHVVVJc98pz4wDL0Wbl2Fgd1tEtuaJPa0SzR1KLicOnB2shBY2VNK3yy2hfWoUn2lgRl1BlywY2I9f5dp9Js9ezYee+wxrF27tsfHs9u9Xi8OOeSQQXlNwzDgdrvR2dmJxsbGkgTL/WEzBeqCpfl773UKzKzXUzxawgq7WiW2NOniYFJKGKaAzUBuTXG7qdcXNzPb+hOgWlKvBx+K6eWtgl6BIyYbqK/Qq3P0pfjohCoDsyYrtEV04bKGFomWTt3RCKXgdupVP1yOkZNaTmNPON5Vr6DCK3DsdAP1lQacNsBu06vQ6N8jgWhC4Z2dFjbsstAeUaivFD1On0ymdcG+aBxQmc4kmwk4TD29wzQEtjUpTK7Wr0GjR8nu9rLLVVRVVWH69Ok97jNnzhw0NDRg3bp1+w2WOzs7sXnz5tzzejvefffdl3ttov1xO/QyU9NrDbRHFfa2K2xplGjulEilFRw2wOvSRWDGem9hOYmnFDoiCtGEHkl632QDU2tM1AZ1g9faymtN5eHMM8/Et771LfzrX//C9u3bi6piP/DAAwCA008/fVDWWAb0CHVjYyNM08RBBx00KMcsd4YhMC4gMC5g4H2TdFvUEVOIJRSiCYVoEogndeZLNKFya5JnkwcVAAOAmQmkdTAgYBp6VLgjogOHoEdg1mQDEyr137uB1FQxDIFqv0C1HzhkgoFwXBdTa+2U2NUm0RFVaOwAhFBw2XVBtAOpQE7UF8m0HkWOxPVUgem1BqbU6EJ8+xr88DgFZh9kw8RqA29ut7C1ScLn0iPNyTQQiupj2jMZiIeON+BzC7jsAi474HIIOO1AIgWs2ZzGu3sla+KMMiULlve3XAWAXG9zdt992bp1a+7z3o7Zn+MRdSeE0FVNvcAh4w00Z3rKd7dLtIQUdrYoWEo3/FZcweHWgTTnuIweuYY0AThsQLXPwNHTDEysMvqVekU0msyaNQuf+tSnsHLlSlxyySX485//nCuq+eSTT+Lee++FYRi4/vrri5570UUX4dVXX8Xll1+Oyy+/PLd99erVaGtrwymnnAKbLf824/XXX8fixYsBAOeeey4qKyuH8N2VJ4ctswZ5wXYp9fJXybQuYqb/18tUpiw9lSSaVIglgVhCV/JOpHRhrkMmGJhUbaI2MLhzjYXomtc9pcbA+6fplNf2iEJrWGJvu0JnTHdOpqWCIQCXQwcSTrsO6ktVY4ZGv2yadWdMwZbpxDlyioEJVQYqPKJfP1t1QQPVhwtM3ivxZoMuBOuyA1U+nYExLmig2tf79Ai7CXzwUBtcjjTe2iFR7QPvLUaJkgXLfV2uAkCflqvIHm9fx+zr8YZ6uQoa3QxDoDYoUBsE3jfJRCyp03naInpuWUNU3wgk0tlefQWbKTKNPmBkqoYKAQgIKGRGATJzW6C6UngMoXtAPU6mrQ02pfRNYziuR5BtZlejV1ehGz12dtBY8Mtf/hJvvfUWnn32WcyYMQMnnngiGhsb8cILL0ApheXLl+Ooo44qet727duxYcMGNDc3523fvHkzPv/5z6OiogLHHHMMxo8fj3A4jC1btmD9+vUAgHnz5uHuu+8elvc3VhiGbidcDiBTo3qf0pYOooHhG+USQiDo0SPYU8fpIqexZHZ+tG5Lm0ISkUxBMV15W0+Dcdp1R4HDpkfxhnPuOI0eltTTp0JRnVUR9AocM93EhEo9neBAMhhspsAhE0yMrzSwt0OiwiNQ1Y97Badd4LiZNngcFt7YZiGZVqgJsNjvSMdJdz0YquUqeip9TuXBBWC8V39MdIbh8tgRSynEkzo9rjMqEUnodDclFdJKV1tUSgfNboeA3wF4fQIOu74ZAIC2iJ4nvbtdB3aAgtuh1+1kylr/KKWQSHWtiaoU4Hboqq0zqwzUBg1UZb+vaaC9vfdj8Xe5/PV2jcux6FdtbS3Wrl2LZcuW4dFHH8XKlSvh9Xpx8skn4xvf+AYWLlzYr+OddNJJuPHGG7F69Wps3rwZL7/8MqSUqK2txemnn47zzz8f559/PgyDN4mlZMvMby41t0NX+a7L1HHN/q2OJHRHZiSh0BGVaA3rwLozpoP8tKVyy1Zl52jr+dv6fSVSCmlLB9ojeXRaKZ0CLxUgZcH/mc8tqfexMtuVQi7F12XvPYVdqq7O+Oy89nLsdM/Ot++MKV2Qzi1wyAQDk6tN1FUMbDrBvvjdAn73wH55TEPgqKkmvC6BtZvT2NkqMaGyf6PcNLxKFiwP9nIV2eNlj9lT9ey+Hm8ol6soxxstKtbX6yyl7vncV69kbtmOqEJ7RKKhRWJPu4IDwLiAKGmhCEvqdHSbqYu2DMWa4dnlHEwjOyrf82sopRtJS+kbg0RK3yzFU/rGAtA3F+P8AkdX6cC40mfA7xpYujx/l8vfWLrGgUAAy5Ytw7Jly/r8nH/84x89bp82bRpuueWWQTozGmuEyI6Q63nPmg5MUpYOpGNJhXhS15eIJVUusI4mdCAdS2YyvKDbD6UXucqMt+s1spGX5dWV9dV1Ht0+zzwL6GpPun+eacqhulUIzz6m88dE1+t3qySefQlhAGYm88wwdEDb9TngcOj21W7TBaOEQG7aUHtYp7ADesTdsrrOR2S22Qw9hz2V1t8LlXm/drNrxH60pb0n07rjZE+zhD+pEPAIvG+SgfGVJsYFSrPMWl8JoQv3uR0Cr25OY1uTxKRqY9AHQZTSPyP6Oo/c78dIV7Jgedq0aQCAhoaGXvfJPpbdd1+mTp2a+3z79u048sgjB3w8plzTcOlLkGYYXWlrk2sMHDZJYUeLxMadErvbJExTYVxgaALVfemI6kC5NiCQlkBTh0IqrZfZ8rkEvK4DS5OLJvRyLVLqP/SW1D3s2dsOBeibHdV1E5O9scg2DOMCepkTn0vA69TnFHQzvZqIaDSyZ6Y07WvJvux87b2NdvgC9lyxs2zaedrSbUnaUkhnR22l7mjVgTVywSzQLegV+f8b0G1ONtA2jK5A1xSAaYrc1Cs9ut31ud5f5H1tGtkPAcPo+tpm9HyvkJ1K1BlXiMQVwnFdjdnjFPBk5ny77LrjwWETSKZ1B0MinelwSOgicaGo7lQORbNp+XptYacdcGaCaKe99EVMpdSBX2dMn7/DBvg9Au+baOKw6XaMC4y+VUomVhk4aZYNazdb2NYkMb5qcKZExJN6amAsqZd9a08pSKVQE+hbVXvKV7Jg+ZhjjgEAtLS0YMuWLT1WxM4uWTF79uz9Hi8QCGDmzJnYvHkz1q5d22Ow3J/jEY1UdlNgeq2JydUGdrRIbNilg2bDUKjyDf0fwlRaYXebgtMOzDnIxGETTZim7uVuCyvs7ZBo7FDY06ZgSQXTBLxO5BrvffVaW1IfIxTTz5laY2DaOF1gK23pGxkrc5NjSf2c7M2F2e3mwm7T63pyThsR0diSDagrvAaqguWb6i+EyNU0QXEyZU/P6HFrNuiOJrr+74xn1x/Wo7fNnZlMOKVg2gQcph6xdmSWWbLbBj+925JdafjxhJ6z5nPptb4nVhqo8gtUeAU6O2yoqhq917nSa+DE9wn43Gm8vUOiwquXs+qv7mtGO2xArd/A9Dq99Fs4rvDuXgvbmyUaOySqfAb87tGTRVBqJQuWJ02ahLlz52LNmjV44IEHcMMNN+Q9vnr1ajQ0NMDpdOLUU0/t0zE//elP44c//CEeeOABfP7zn897LBwOY9WqVQCAs846a3DeBFEJ2Uy9FvSkagO72hQ27bawp11ib4eC36X/2A5mSo9SeiQ5HAemjjNw5BQTtd1uRPSyJsAhE0wk0zrobY8qtHTq4LktopBIAsLQFU9zqWpAt390sYzjZxqYWG2g0st5PEREREMlL+gukLZ0wJpLdU8C4ZhEOK6LY8aTQGdaIWkBUAr+TBZcf0ehpdSj2/GUfr20pUfpvQ6BGr+B+skClV4dIHvLcGTU5dCFvwJuC29stbAroTC+D/OYU2ndoRGO6cyF7JrRE6oM1Pi7sugCHoHxlQLNnQrv7dWVvJs7Far9+noNhFL6flBXss/OLtD3cdnpDbZMYb5sdftSZycMlFCq++yL4fX444/j05/+NHw+H1544YXciG9LSws+8pGPYP369bjmmmtw++23556zYsUKXH/99Zg4cSKee+65vOPt2rULBx98MKLRKH75y1/ii1/8IgDAsix8/vOfx3333Ye5c+filVdeKckNeGtr65iaAzdWleo6K6XQGlbY1SrxXqNEW1j/2ar0CvjcB9brG00o7O1QCLoFjpxq4qA6o1+jtmkrszxIVAfNKUvpVDN0pa1B6GJb4yuHP6W8v/i7XP54jcsbr2/54zUeWlLqVT/iKYVYAtjTLrG1SaI9ojPKKr0iL11eKZVJh9fLm2Vrikip09CzaeM1AYHagM4oC3r2ny1Xbtd5R4vEmnfTaOuU8HuEnr9udM2pF9Cj7ZEEYDeAgFdgSrUuUtrXtdHbIwpb9lp4e6cFSwL1lX3v4ChM8Z5Qpae8qW4F6dJSF5aLJRVaIzozIJ7WjyVSCtNqTZxyjL3P35NSX+OSBssA8PWvfx0//elPYbfbsXDhQni9Xjz33HNob2/HvHnz8Mwzz+TWfASAe++9F5///OcxderUvLWVsx555BFccMEFsCwLxx9/PKZNm4Y1a9bgvffeQ11dHVavXo2ZM2cO4zvsUuqLTcNjJFznZFqhsUNhe7OFHS16LpMhAJ9b/3Hra1GwZFphb7uCYQAz6gwcPsk2oPSgcjMSrjENLV7j8sbrW/54jYdfPKmwp11iW7PErlaJaAK5TDJAV+O2mzozzusEagICQY8Bn0tkPvo/+liO17ktIvGfLRZCMZWp1dK1goqu9g1MqTEwLqBH2wc65WxXq8R/tqaxq02hvqL3jom0lV2vWndqjPMbmFZnYHyFsd+1orNzzcNxnZ3QGVWw24AjpvQ9ubnU17jkS0ctX74c8+bNw5133omXXnoJqVQKM2bMwNKlS3HVVVfB4XD063jnnnsuDjroIHzve9/Diy++iHXr1mH8+PH46le/ihtvvBF1dXVD9E6IRg6HTWBStcCkaj1XpaVTYW+HhV2tOvhNSwWXQ88jdjtQFDxbUqEppNOmJ9cYOHyS2aeUICIiIhqbXA49PWxarYm2iMTedl1fxGXXRTe7Fw1z2DhntjeVXgMfOUJPc5NSwcotIaZHbz2Oga3iUWhClYEKrx3rt6exYZdEZ0xhXFCPZkulg+OOiO7qqPQJHDpBp3hX92NtacMQ8Lv1clujVclHlseSUveM0PAYydc5ZSm0duq5KjtaJEIxvRa0roCZrXgJhONAXVBg1mQTU2oGfzmD0W4kX2MaHLzG5Y3Xt/zxGo8NvM4HTimFrU0S/9lqoTWs4LTp5TcDboGJ1QJTasw+p3gPhVJf45KPLBPR8LGbAnUVAnUVwKzJJuJJXfWyM6ZTtZtC+vMjJhuYWW/CNYLXKSQiIiKiAyOEXmWl2mfgjW1pJFK6kOv4SmOfy7SNFQyWicYwl0PA5dBVrLOkVFyHmIiIiGgMCXgETnyfHUoppsh3M3oXJiOiIcFAmYiIiGhsYqCcj8EyERERERERUQEGy0REREREREQFGCwTERERERERFWCwTERERERERFSAwTIRERERERFRAQbLwySRSOCnP/0pEolEqU+FhhCvc/njNS5/vMbljde3/PEajw28zuVvJFxjoZRSJXv1MSQUCiEYDKKjowOBQGD/T6BRide5/PEalz9e4/LG61v+eI3HBl7n8jcSrjFHlomIiIiIiIgKMFgmIiIiIiIiKsBgmYiIiIiIiKgAg+Vh4nQ6cdNNN8HpdJb6VGgI8TqXP17j8sdrXN54fcsfr/HYwOtc/kbCNWaBLyIiIiIiIqICHFkmIiIiIiIiKsBgmYiIiIiIiKgAg2UiIiIiIiKiAgyWh8EjjzyCk046CZWVlfB6vXj/+9+PH/zgB0ilUqU+NdqPVCqF5557Dv/3f/+HuXPnoqKiAna7HfX19TjjjDPw17/+dZ/Pf/bZZ3HqqaeipqYGbrcbhx12GG644QaEw+Fhegc0UNdeey2EEBBC4Dvf+U6v+/Eajy7JZBI//elPMX/+fFRVVcHlcmHSpEk45ZRT8Mc//rHH5/Aalwe2xaMb2+OxiW1x+Ro17bGiIfX1r39dAVA2m019/OMfV2eddZaqqKhQANT8+fNVNBot9SnSPjzzzDMKgAKg6uvr1Sc/+Ul13nnnqSOOOCK3/dJLL1VSyqLn/vjHP1YAlBBCfehDH1Lnnnuuqq+vVwDUoYceqpqamkrwjqgv/vWvfynDMJQQQgFQt956a4/78RqPLg0NDerwww9XAFRNTY067bTT1Gc+8xn1wQ9+UHk8HnX22WcXPYfXuDywLR792B6PPWyLy9doao8ZLA+hFStWKADK5/Op1157Lbe9qalJHXnkkQqAuuaaa0p4hrQ/zz33nDr77LPVP//5z6LHHnroIWWapgKgfve73+U99vrrryshhDJNUz3xxBO57ZFIRC1cuFAB6PEPAZVeJBJRBx98sJo4caI688wze22geY1Hl2g0qg477DAFQH37299WyWQy7/FIJKLWrVuXt43XuDywLS4PbI/HFrbF5Wu0tccMlofQ3LlzFQD1ne98p+ixF198UQFQTqdTtbe3l+DsaDBccsklCoBauHBh3vZzzz1XAVBf+MIXip6zdetWZRiGAqDefvvt4TpV6qOvfe1rCoD661//qhYvXtxrA81rPLrceOONuZGnvuI1Lg9si8cGtsflhW1x+Rpt7THnLA+RnTt3Ys2aNQCARYsWFT0+f/58TJ48GYlEAk888cRwnx4NkmOOOQYA0NDQkNuWTCZzc6d6uvZTp07FvHnzAAArVqwYhrOkvvrHP/6Bn/3sZ7joootw6qmn9rofr/HokkqlcPfddwMA/u///q9Pz+E1Lg9si8cOtsflg21x+RqN7TGD5SGybt06AEBVVRWmT5/e4z5z5szJ25dGn02bNgEAxo8fn9u2ceNGRKNRAF3XuBCv/cgTDodx8cUXo66uDj/5yU/2uS+v8ejy+uuvo7m5GRMmTMDMmTOxfv163HzzzfjSl76EpUuX4q9//SuklHnP4TUuD2yLxw62x+WBbXF5G43tsW3Qj0gAgC1btgAApkyZ0us+kydPztuXRpc9e/bg3nvvBQCcffbZue3Z61lRUQG/39/jc3ntR55vfOMb2LJlC1asWIHKysp97strPLr897//BQBMmjQJS5cuxQ9+8AMopXKPf//738cxxxyDxx9/PPc3m9e4PLAtHhvYHpcPtsXlbTS2xxxZHiKdnZ0AAK/X2+s+Pp8PABAKhYblnGjwpNNpfPazn0VHRweOPPJIfOlLX8o9xms/+jz99NP4xS9+gfPPPx9nnnnmfvfnNR5dWlpaAOge5+9///u47LLLsGHDBnR0dOCZZ57BIYccgnXr1uGTn/xkbhkhXuPywOtY/tgelw+2xeVvNLbHDJaJBuDLX/4ynnvuOVRXV+NPf/oTHA5HqU+JBqijowOXXHIJxo0bh5/97GelPh0aAtle61QqhQsuuAB33HEHDjnkEAQCAXz0ox/FM888A5fLhTfffBMPPfRQic+WiPqD7XF5YFs8NozG9pjB8hDJpglEIpFe98kuoB0IBIblnGhwfP3rX8c999yDysrKXC9Yd7z2o8uVV16JHTt24I477kBNTU2fnsNrPLp0T9vqPuqUNWXKFHzyk58EADz77LN5z+E1Ht14Hcsb2+PywbZ4bBiN7THnLA+RadOmAcivylgo+1h2Xxr5rrnmGvz0pz9FRUUFnn766Vz1ze6y17O9vR2dnZ09zq/gtR85VqxYAZvNhrvuugt33XVX3mPvvPMOAOCee+7Bs88+i/r6ejz00EO8xqPMQQcd1OPnPe2ze/duAPw9Lhdsi8sX2+PywrZ4bBiN7TGD5SGS/aPd0tKCLVu29FiFc+3atQCA2bNnD+u50cBce+21+PGPf4xgMIinn36614p8hx56KDweD6LRKNauXYuPfOQjRfvw2o8s6XQaL7zwQq+Pb926FVu3bsXUqVMB8BqPNrNnz4YQAkopNDc35wqBdNfc3Ayga94Tr3F5YFtcntgelye2xeVvNLbHTMMeIpMmTcLcuXMBAA888EDR46tXr0ZDQwOcTuc+15CjkWHp0qX44Q9/iGAwiGeeeSZ3bXvicDhyKSQ9Xftt27bhpZdeAgB8+tOfHpoTpj5rb2+HUqrHj8WLFwMAbr31ViilsHXrVgC8xqNNfX095s+fD6Arrau7VCqVu0E77rjjAPAalwu2xeWH7XF5Yls8NozK9ljRkFmxYoUCoHw+n3rttddy25ubm9WRRx6pAKhrrrmmhGdIfXHDDTcoAKqiokK9+uqrfXrOa6+9poQQyjRN9eSTT+a2RyIRtXDhQgVAnX322UN1yjRIFi9erACoW2+9tegxXuPR5dlnn1UAVGVlpXr55Zdz21OplLriiisUAOX3+9WePXtyj/Ealwe2xeWD7fHYxLa4vIy29pjB8hD72te+pgAou92uPvGJT6izzz5bVVRUKABq3rx5KhqNlvoUaR9WrlypACgAas6cOWrx4sU9fvR0o/XjH/9YAVBCCHXSSSep8847T40fP14BUIceeqhqamoqwTui/thXA60Ur/Foc+uttyoAymazqQ9+8IPqrLPOUtOmTVMAlNvtVn/5y1+KnsNrXB7YFo9+bI/HLrbF5Wc0tccMlofBH//4R/WhD31IBQIB5Xa71RFHHKFuu+02lUgkSn1qtB+//e1vc43zvj6mTp3a4/OfeeYZ9YlPfEJVVVUpp9OpDj74YHX99derUCg0vG+EBmR/DbRSvMajzVNPPaVOOeUUVVVVpex2u5o8ebJasmSJevvtt3t9Dq9xeWBbPLqxPR672BaXp9HSHgulMgteEREREREREREAFvgiIiIiIiIiKsJgmYiIiIiIiKgAg2UiIiIiIiKiAgyWiYiIiIiIiAowWCYiIiIiIiIqwGCZiIiIiIiIqACDZSIiIiIiIqICDJaJiIiIiIiICjBYJiIiIiIiIirAYJmIiIiIiIioAINlIiIiIiIiogIMlomIiIiIiIgKMFgmIiIiIiIiKsBgmYiIiIiIiKgAg2UiIiIiIiKiAgyWiYiIiIiIiAowWCYiIiIiIiIqwGCZiIiIiIiIqACDZSIiIiIiIqICDJaJiIiIiIiICjBYJiIiIiIiIirAYJmIiIiIiIioAINlIiIiIiIiogIMlomIiIiIiIgKMFgmIiIiIiIiKsBgmYiIiIiIiKgAg2UiIiIiIiKiAgyWx4hvf/vbEEL0+uF0OlFVVYWjjjoKF1xwAe6//34kk8lSn/aI8Y9//KPoe3bvvfcO+HgbNmzA7373O3zlK1/B0UcfDZvNVnT8rVu3Dtr5d7dt2zYYhtHjz8Grr746aK9z7733Fh3/H//4x6AcO51OY8WKFbjiiiswZ84cTJw4EW63G06nE9XV1TjqqKNwzjnn4Ic//CFee+21QXlNyrdjxw789re/xZe//GXMnz8fEyZMgMfjgd1uR01NDT7wgQ/guuuuw6ZNm0p9qkQjBtviA8O2uP/YFpe31atX4/vf/z7OOeccHHnkkUXX4Nhjj8Ull1yCv/zlL1BKlfp0RydFY8JNN92kAPTr46CDDlLr168v9amPCH//+9+Lvj+//e1vB3SsLVu29On7v2XLlkF9D1nf/e53e33NK664YtBe57e//W3R8f/+978f8HF//etfqylTpvTrZ3nmzJkqmUwe+JsipZRSf/7zn/v8vbfZbOrGG28s9SkTjQhsiw8M2+L+Y1tc3mbMmNHn7//cuXNVQ0NDqU951OHIMvXqvffew2mnnYZoNFrqU6FB9Ic//KHXx/74xz8inU4P49n0XSwWw7nnnosvfOEL2L59e7+eu3nzZliWNURnNvYkEok+75tOp3Hrrbfi//2//zeEZ0RUvtgWlye2xTTc1qxZgzPOOIPXoJ9spT4BKp2zzz4b55xzDgAgGo3imWeewUMPPZS3z7Zt27BixQpceOGFpTjFsuf1ejFnzhzs3r0bGzduHPLXe/311/HWW2/1+nhjYyOefvppnHrqqUN+Lv0hpcSFF16IFStWFD02btw4nH766TjmmGMQDAbR2dmJ7du349VXX8Xq1auRSqVKcMZjR1VVFT75yU/iuOOOg8vlwhtvvIF77rkHsVgsb7/bbrsNF198MaZNm1aaEyUaodgWlx7b4r5hWzwy1dXVYeHChTjqqKNQV1eHdDqNzZs347777sOuXbvy9l23bh2ef/55fOxjHyvR2Y4+DJbHsCOOOALnn39+7uuLL74YlmXhkUceydvvtddeYwM9iCoqKvCLX/wCJ5xwAmbNmgXTNLFkyZJhaaDvv//+om2GYUBKmbfPSGugf/azn/XYOH/961/Hd7/7XXi93h6f19raigcffBA//OEPh/oUx5z6+nr8v//3/7BkyRK43e68x7785S/juOOOyxsJS6VSWLlyJb7+9a8P96kSjWhsi0uDbXH/sS0eeR544AHMmTMHhlGcLHzddddh7ty5ePfdd/O2//e//2Ww3A9Mw6Y8H/7wh4u2xePxom29FYyIxWJYtmwZjj32WASDQQgh8JOf/ASATsd8/PHHceONN+LUU0/FrFmzMGHCBLhcLrhcLtTV1eHEE0/E0qVLsWHDhl7PsbcCH0op3HfffVi4cCGqq6vhcrkwc+ZMXH311Whubt7n+04mk/jxj3+MY489Fj6fDxUVFfjABz6AX/ziF3mN12CoqKjApZdeiqOOOgqmaQ7qsffFsqyi0Yr3ve99+PjHP563beXKlejs7Nzv8To7O3HTTTdh1qxZ8Hg8qKmpwYIFC/DHP/5xUM87HA7ju9/9btH2K6+8Ej/5yU96bZwBPer51a9+FZs2bYLT6Sx6vPDnaMmSJQCAJ554AmeccQbq6+thmiaOPvrooudGIhHcfffdOOOMMzB58mR4PB643W5MmjQJp512Gu644w6Ew+Fez+2kk07Ke+3eRlz7st+SJUuK3gsANDU14dprr8Vhhx0Gj8eDqqoqfPSjH8Wjjz7a63n1xQknnICNGzfiK1/5SlGgDACzZs3CJZdcUrR98+bNB/S6RGMF22K2xWyL2Rb3xXHHHddjoAwAlZWVOO2004q2u1yuA37dMaXUk6ZpePRUVOSmm24q2u/6668v2u/2228v2q+nghF/+MMf1KGHHlq0/f/7//4/pZRSTU1NfS5CYJqmuvXWW3t8Lz0V+Fi+fLlauHBhr8ebMWOG2rNnT4/Ha2pqUsccc0yvzz3xxBPVypUrB62oSE8WL1485EVFnnrqqaLXuPHGG9WvfvWrou333nvvPo+1efNmNW3atF6/Z+ecc4765S9/OShFRR5++OGi49TU1KhoNDrA70SXwuMuXrxYXXHFFUXb3//+9+c974knnlDjxo3b789xTU2NWrVqVY+v/eEPfzhv36lTpw54v55+fv7973+rmpqaXs9t8eLFyrKsA/wO9u7OO+8ses0rr7xyyF6PaDRgW8y2mG1xMbbFQ9cWn3zyyT2eE/Udg+UxYn8NdCQSUatWrVKBQCBvH7fbrXbv3l10vJ4aaL/f3+MfgoE00NmP++67r+i1e2qgXS7Xfo914YUXFh3Lsiw1b968/T63vr5+1DfQn/vc54pe4z//+Y9qampSpmnmbf/oRz/a63HC4bCaOXPmgL5nA2mgv/CFLxQd57LLLjuA70SXvv4Md2+gH3/8cWUYRp9/hoUQ6rHHHit67aFuoIPB4H7P7frrrx+U72NPvvGNbxS93t133z1kr0c0GrAtZlvMtrgY2+LBbYvb2trU2rVre7xmn/rUpwb1tcYCzlkew26++WbcfPPNvT4eDAZx//33o76+vk/H6+zshGEYuOCCC3DSSSchnU7j9ddfR1VVVW4fl8uFE044AXPnzsW4ceNQVVUFu92OtrY2rFmzpqgC5Le//W189rOf3e9rx+NxuN1ufPWrX8URRxyBF198Effcc0/ePo888gjuuusuBAKB3LZ7770X//rXv/L2s9vt+OIXv4jjjjsOe/bswZ133omGhoY+fQ9Gqmg0WjTPaObMmXj/+98PAPjQhz6Ev//977nHnn/+eezevRvjx48vOtb3v//9onRar9eLyy+/HIcffjjee+89/OxnP8OePXsG5dx7Wqf3uOOOK9oWj8fx+OOP93qc2tpaLFiwYJ+vlU15O+aYY7Bo0SLU1NRgy5Yt2LJlCwCgpaUFF110UVE64Mc+9jGcffbZEELg0UcfxdNPP517TCmFJUuW4EMf+hCqq6v3+fqDqaOjA8cddxwuuugiuFwurFy5EqtWrcrb5wc/+AEuvvhizJw5c1Bfu62tDb///e/ztrlcLpx77rmD+jpE5YBtMdtitsX52Bb330MPPYQLLrig18fdbjcuueQS/OhHPxrwa4xZpY7WaXgMZG3HK664QrW1tfV4vJ56swGoFStW9HoOlmWpeDy+z/P8zne+U3TMjRs35u3TU282APXUU0/l7XfppZcW7fOPf/wjb5+5c+cW7fPrX/86b59du3b12Ms5mnqz//CHPxQd/7rrrss9fscddxQ93lPKn5RS1dXVFe377LPP5u33xhtv9NjjO5De7MMPP7zoOE8++WTRfrt3797nz/OHP/zhouf0tN8555yj0ul0j+dyyy23FO1/3nnnFe137rnnFu13yy235O0z1L3Zxx9/fNF6lp/97GeL9rv22mt7fN2BSqfT6vTTTy96nW9+85uD+jpEoxHbYrbFbIs/XPQctsUH3hY/+OCD+/y+f+ELX1AbNmw4oNcYq1jgi3r1s5/9DEcffTS2bt3ap/0/9alP4cwzz+z1ccMwYLfb8eijj+Jzn/scjjrqKFRWVsJut+cKIXzrW98qet6+CoxkfehDHyoqjtFTz+XevXtzn4dCIbz22mt5j0+aNClXWCJr/PjxPRYrGk16qryZXaoEAD796U/nClFk3XfffUXPeeutt/K+h4Au9rRw4cK8bUcddRTOOOOMAznlHKVU0bbCcx0sdrsdd955Z6/FXv72t78Vbbvpppv6tK2n5w6lpUuXwm63523r6fer+yjGgUomk7jggguKes0/9rGP7XPkjIh6x7ZYY1vchW0x2+L++vWvf40jjjgCv/rVr4b0dcoR07DHsO5rO6bTaWzbtg2//e1v80rMb9u2DYsWLcJLL7203+N98pOf3Ofje/bswemnn461a9f26zzb29v3u09PlUMrKyuLtnVf+3XLli1FKTzvf//7e/zjPHv27D6c6cjU2NiIZ555Jm/b1KlTMWfOnNzXEyZMwAc+8IG86/zGG2/gf//7H2bNmpXb1lM142OPPbbH1509e/Y+U7H6qqampmhbY2PjAR+3J3PnzkVtbW2vjxfeLHq9Xhx++OFF+2WrknZfOmk4liPprvv1zTr00EPh9XoRiURy2warQnU4HMZZZ51V9LP2wQ9+ECtWrIDNxuaGqCdsi9kWZ7Et1tgW998HP/hBPPjggwB0uv/mzZuxcuXKvPW8U6kULr30UkycOHHELUs2knFkeQzLru14/vnn47Of/SxuuOEGrFu3rqgc/ssvv4xXXnllv8ebOnXqPh//7Gc/2+/GGUDevKneTJo0qWhbYU8ekN8z2tOSDOPGjevx+Pv6oz3SPfTQQ0Xfw7PPPrtov562FfZol+J7dsghhxRtW7NmTdG2+vp6KF20sMce8L7Y389wR0dH3te9vXeg+P0XPrdQb8uiJJPJfT6vN72dW+H2vixNsj8tLS1YuHBh0Y3gggUL8NRTT+1zSRGisY5tMdvi/W1jW5yPbXGxKVOm5P6OXHzxxfje976HN998E5dddlnRvrfffvsBvdZYw2CZ8vj9/h57pd944439PtfhcPT62KZNm/Dcc8/lbTMMA5/73Odw11134cEHH8SDDz6IL3/5y/0/6V5ee3/pQX6/v2hbU1NTj/sOVe/pcOgp7evHP/5x0VqA11xzTdF+DzzwQF5jV4rv2cc+9rGibQ8//PCAG6592dfPMKAL7XTX23sHit9/4XMLfz5TqVSPxxloQZvezq1we0/XtD927NiBE088Ea+++mre9rPPPhtPPPEEfD7fAR2faCxiW8y2uDu2xfnYFveNEKLHKVAD6SwbyxgsU5GeetVaW1sP6Jjr168v2nbNNdfg97//Pb7yla/kesN6SvMZKtOnTy9ayP2NN96AZVlF+xbOpxotNm7c2GPPb181NDTghRdeyH09Y8aMon16+94M1vfs1FNPLapcuXfvXnz7298elOP3R2HPeiQSwdtvv12039tvv52X9gUABx98cN7XLpcr7+u2traiXvj33nsPu3btGtC59tQYvvPOO3lpX0DP17SvNmzYgHnz5hV9D77yla/g4YcfhtPpHPCxicY6tsVsi7PYFudjW3xg+pIlQl0YLFOezs5O/PWvfy3a3tclK3rTU09dYWrmjh078Itf/OKAXqc/AoFA0fynHTt24N57783btnv3bvz2t78dtvMaTD31ZPdX9/SvWbNmFaU0/fvf/y4aqfjvf/9bVORpoPx+P5YuXVq0fdmyZbjpppuGpFe7N6ecckrRtltvvbVo2y233LLf5xb+TiUSCfzzn//M23bTTTf1mhK2P7fddltRg/jd7363aL+TTjppQMd/7bXXcOKJJ2L79u1522+++WbcddddRTe/RNR3bIvZFhdiW9yFbbF29913Y/Xq1b0+rpTqsTPjoIMO6vdrjWWsuDKGvfnmm3jooYcA5BcVKbz5NQyjqMJifx122GFF22677TZEo1G8733vw7vvvou77rrrgHvN++tLX/pSUa/fV77yFbz++us4/vjjsXv3btx5550IhUKD+rrZ73tWdu3A7latWpU3p2X69Ok4/vjj+/U6f/jDH/K+NgwDv/nNb/Y54nfppZfmzZ159NFHceedd8LlckEIgS9+8YtFf+g/9alP4fLLL8esWbPw7rvv4mc/+9mAG5aeXHXVVfj73/+OJ554Im/7Lbfcgt/+9rf49Kc/jcMPPxwejwetra3497//PWiv3d1ll12GH/7wh3nfnwcffBCtra0466yzcms7PvXUU3nP8/v9+MpXvpK37fjjjy+6GTzrrLNwww03IBgM4tFHH8WTTz454HN95ZVXMH/+fFx00UVwOp09ru1oGAa++MUv9vvY69atw0c+8pGiOVYf//jHccghhxT9fGf1ZX1NorGGbTHb4p6wLe4d22LtqaeewmWXXYYpU6Zg4cKFOPLII1FTU4NoNIpt27bhkUce6bFw2Gc+85kBv58xqQTLVVEJDGRtx+zHl7/85aLj9bS24/7W7Tv22GP3+1pHHnnkftdQ7Gltx57WWezLful0Wp1wwgn7Pa9AINCn1+yrgVyHxYsX9+s1/vWvfxUd46STTtrv8y688MKi5z388MO5xzs7O9VBBx00oO/ZQNZ2zAqFQuqUU04Z8M9xX9Z27Mv3+NFHH1VCiD6/rhBCPfLII0XHaW5u7nHN0MIPp9OZ93Vf13asr6/f77EHuq5jb2u7DuQaEI0lbIvZFgNsiwsN5HvMtlipT33qU/3+/h911FEqFosN6PXGKubJ0T5dfPHF+OlPfzoox/rDH/6Aurq6Xh+/5JJLcPXVVw/Ka/WVaZpYuXIl3v/+9/e6z1FHHTUq16XrKe3rvPPO2+/zetqn+7F8Ph/+9re/YcqUKb0eY8GCBfje977XxzPtG7/fj7/+9a/48Y9/vM/Klz05+uijB9Rr25OzzjoLK1euLJq71ZOqqio89thjeetoZlVXV+PnP/95r+nKNpsNP/rRj3DCCScM6DyffvppTJgwodfHP/vZzw76NSKiocG2mG1x4bHYFrMt7g8hBD7zmc/gn//8Z9E8bdo3BsuU43Q6UVtbiw9+8IO45ppr8Prrr+Oee+7pcdmHgTj00EOxbt06XH755Zg2bRrsdjtqamqwYMEC/PGPf8Svf/3rQXmd/qqtrcUrr7yCH/7whzj66KPh8Xjg9/tx7LHH4vbbb8eaNWtG3XIVqVQKDz/8cN420zR7XJKi0Mknn1xULfLJJ59ES0tL7uuDDz4Y69evx7e+9S28733vg8vlQkVFBebPn49f/epXeOaZZ4ZkuSAhBK666ips27YN9913Hz7/+c9j1qxZGDduHGw2G9xuN2pra3Hsscdi0aJF+NnPfoZ33nkH69atw4UXXjho53H66adj69atuOOOO/DJT34SEydOhMvlgsvlwoQJE3DKKadg+fLl2Lp1K84888xej7No0SK88MILOP3001FdXQ273Y5JkyZh8eLFeP311w/ohvXII4/E+vXrsXTpUhx22GFwu92oqKjAggUL8PDDD+O+++7rcR1TIiottsVsiwG2xX0x1tviu+++Gw8++CC++tWv4gMf+ABmzJiBYDAI0zTh8/kwbdo0nHzyybj55ptz0z0Kf6Zo/4RSA1wEjYiIRoQlS5bgd7/7Xd42/mknIiIaPmyLyxNHlomIiIiIiIgKMFgmIiIiIiIiKsBgmYiIiIiIiKgAg2UiIiIiIiKiAgyWiYiIiIiIiAqwGjYRERERERFRAY4sExERERERERVgsExERERERERUgMEyERERERERUQEGy0REREREREQFGCwTERERERERFWCwTERERERERFSAwTIRERERERFRAQbLRERERERERAUYLBMREREREREVYLBMREREREREVIDBMhEREREREVEBBstEREREREREBRgsExERERERERVgsExERERERERUgMEyERERERERUQEGy0REREREREQFGCwTERERERERFWCwTERERERERFSAwTIRERERERFRAQbLRERERERERAUYLBMREREREREVYLBMREREREREVIDBMhEREREREVEBBstEREREREREBRgsExERERERERVgsExERERERERUgMEyERERERERUQEGy0REREREREQFGCwPo46OjlKfAg0DXufyx2tc/niNyxuvb/njNR4beJ3LX6mvMYPlYWRZVqlPgYYBr3P54zUuf7zG5Y3Xt/zxGo8NvM7lr9TXmMEyERERERERUQEGy0REREREREQFGCwTERERERERFWCwTERERERERFSAwTIRERERERFRAQbLRERERERERAVspT6BsWRHi0RjzILTDjhtAi4H4LQLOG2AzRSlPj0iIiIiIqJBJaVCR1ShLaJgGgJTx42e8VoGy8No8x4LjbE0nJnvut0G2G0CdhPwOgUCHiDgNuB2AG6HgNsh4HECDhsDaSIiIiIiGvmUUgjFgLawREtYYVerRGdMIZIAf2NMyQABAABJREFUJlcbDJapd0EPUFdhQCqFtAUk00DaAtoiEns6AGlJKACGAThMPfIccAvU+AV8bgGfS8DrFPC6ANNgEE1ERERERKUVTyq0hhVaOiV2tCq0RyRiSUAIwOsEgl4Bw1BQpT7RfmKwXCKGEHDYAEfuCuQHvlIqJNNAPAU0d0rsaAWU0j9wLjvgdgqM8wtU+w34XDqg9rkAgwE0ERERERENoWxqdXOnwt52iT3tCuG4glSA2wH43QK1QUCIrtikMzbaQmUGyyOWYeg5zS4H0D2QllIhngJiSYV39yps2CVzAbTXKVATEKjxGwh6BAIencpNRDSWtUcUWsMS02uNvEabiIiI+i5lKbR0KjSHJLY3d40e222AzyUwsVqUXeYrg+VRxjD0PGaPs1sArRTiSR1Ab9qt8M5OCdMAPA6BCq9AXYVO3c7eIwqhw28hBAyhvzaETv3Ofm4agM0QsJmAzQTsJniTSUSjSltE4r29Epv3SNgMPQXG6yz1WREREY0esaRCc0hhT7vEzlaJjqhCWgIeh06trq8s7/iAwXIZMERXAF3t19vSlkI0ATR1SjS0KHQfne7+Iy2zxwAgjGwQDZiZ4Nk0BExDB88Om55D7XUCXpcBp61rm9Oui5K57Ayqiai02sI6QH5vr0RnXMHjBKD4d4mIiAaHlZkumUwDqbT+PGXp7VU+AxXe0d3mhON69HhXm8SuVqXTpwXgdwP1FQL2MVR8mMFymbKZmeranr79MCuloBSgAEil50dbsusjLRWScaA9qvQfA0uH2SLzj8PUVbuddv2aQY+AxyngcehiZD6XGNSq3lYmHT2Z0r1bUgGy2/+W1HMmur8HS+r0EaddwDPGKo4rpb9f0YTuRIkm9B/2Sp/OPLAP49JlaaurUUlbutBdytLXRqlslkN+1oPdBFyZzhgus0a9CUUVNuyy8O4eC5EEUOUXOChoIBLXP/dERER9kUxnsjZTConM9Md4UgeNnXH9tWXp+2N9X6yfp6Dn69ZXGJhSY6CuQtcWGg3CcYXGDomdLRK7M/OPDaHv6yfVlF96dV8xWCYAejQ4OyBs9rxHr8+VSiGV6V1LpBV2tChsaQSQCb6dmdFnv1ug2p8tRqa/9jr3XZQsnlRoj+oCAtGE/sUNZ/5IpSwgnVawVFeAr1TXmWbH01W3rwyhzxcQubneDpsO7CdVCUyuMUvaG6hU5n1lPhSy70tXD5SZVADT1GnypqHT5M1MVkB2PnssCcRTCrEEEIpJtIb1H/1EpvdTQH8fTFOg2icwvdbAhCoDlV4xaJkBllSIxIFIQiGS0A1Ma1hfy3Sm9zWd6cTIvi8g//oBOmC2GTpgdth1B0fQDfjdBrwuIODW8/PLvcODepdMK7y3V+LN7Rbaowo1foHaCv48UO9aOyV8AVV2fzdSloIAOxWJ9ic76BJPdv0fSwGhqERHVN9LJVL6nqn7PYrNpu9H7KaAww54TAGboe/LDCGglF4eqaFFZzf53QITKgUmVevAeaTVEookdHGuna0Su9sUwjEF0wYE3QJTxgkYzBZlsEwHzhB6RNlpBwqDaqW6qnq3hiV2t+nA1sgWJXPpomRVPgMBtw5aI3EdIO9u00FeJKFgSR00OTJzqB02AbcDsLsFDAPdRiH7/kstpUIiE+R3RCV2tQL/a7AwZZyBg+pM1AbEoFYXT1tdxdm6eimBcEJm/lADiZTqNhKuw0WpAKhMynwmgszOMTczI7BGJlhOWTogTqWR6ymwmfp77bQL+D0ib/55ylJojyi8ssmC22GhrsLA9Fojcz36V11dSoWOmEJbWKG5U2JXm0Isod9zthPDYQdcdl28zjQyDYyx79eRSvfeZkejO6ISTSEgnclusNt0cbsqn0BtUP8cVXjFqOnJ7YtsYb9kWqdAjdXe3UJKKexqU3hzu4WdLRJ+DzC9dvA6fKg8JVIKr2xK4+2mFA6ZYGJKzci7gd2XWFJ3HEcT2U5Rhc647pCMp3RbfGjmfZVbZwDRQFlSD+bsarMQiuogMWXpFOqUpe9TAAWbmV2tJtsR3782Vwi9Oo3PJSCVQjgGvLtXYsNuiaBbYHKNwMQqE7XB4e/kV0oPpnTGFSLxzBzkFv33wzSAoEdgSi0D5EIMlmlIiW6BdLBbSnj25j+aUNi4S8GSXVW9EykdLDozwfSESjEkveSGoQNud6biuAroUesNO/V8xwmVBg6qMzCh0oCrHzdSltQ3LXoUXPfSNXfqP0bJlEIyM2qclR0Z7holFrBn/jhn09yzc8mzZyEzo+nZUVmpAEspuBz6j3tfC7LZTYFxAYFxAX0tdrZKbG2U8Dj1H/q6ivzq6gByWQQpSwflibQOkHe1SYSi+g+xaQBel142YFzgwJY0M4SAYdNBsZZ/rGRa3zTuaJF4d6+EIXTwPL5CYGK1gRq/0efpCKWUrTMQTeosilgSiCQkQlGdGpVM65+toMfAzHqdCVBOHQI9kVL39Atksie6FSDsjAFv7Uxj0y69Nv3EmuGdTkCjl1T6b1hzp8Let9Oo9gkcPN7AtFpzRP1OZUeowplAuCOqi+x0xhRiKd2JmM2gsmf+RtpNgY6owj/fSqM2KHJBs9M+ct4X0XCSUneqbthloaFZAgKZmjv6HjDYj3um/jJE15RIKRVCMeCtHRJv75Co8ApMHWdgfKWBGv/g3+emrK7svnBMoT0q0RzSf1PiSZ3ZZxr63DiCvG8MlqkkeqrqbUk94loTKM3ImRACfrcO8OIphd3tEtubJQJugbqgQH2lgSqfHrXsfn7RhL6JCUUVmkISW3amYHMlkcik7gihA3+XXcDn1n+UbUPyh/nAjudx6pH97PzmSFzhrQYFS0k4bV3XSs/N0anU6UxqkhCAJ7PgfF3F8BZ5c9h0z282fV5K3emxpUli0x4Jj0NXQZ5UbWBcoPRFN6TUjVW2QyUSV2gJK4RiOuUr93MDnTFg71ZIz2YKtEclXnxHIuASmForMKVm8LMgDkQyrd9XygLcmSyC/vSeK6XQFlFo7FDY2ijREdNppdnvR7bTKG0BHTGFuqCAdwQFODR6VPn0VKC2THbN2zskZtQbmFhtoNo3NJ20vekeGIei+sa2qUMhnNAjyVJmMrIcui0JePZVYEfAkjqwfvGtNGoCAodNNFEbNJBI65FoPbok0REBkpbCuIBAhUd3LPpc+vvCDA0azZRS2NuhsGGnhW1N+malvrJ0U7YMQ6DCq+9V0pa+b/zPFgvrt1mo8gtMG2egvkLfZ/Y3qy+aRG6ApjOml3YKxfQc60Raj5obhh4cctkFgl52LvcHg2UaMcxMAD0SuOwCE6v0DUc28Nq4R8Jl071wE6oMmALY25GZT525mbGZOpCsdAvU2EdnuqwQ2RH3rnNPpPTNlRD6j212WTE92jey3qNhdPXkZm9Ad7bquUNeJzCx2sC0cSbqKoa+0ZRSFwIJRXUj1hqWaO7UI8fxZGZUKNOZ4rTpefz7+7lxO3RqV2cMeHO7hXd2StQFDBw8QXcIDOeNgCX1jX0oBnTGJJpCOtCNZqZOODIjXS4H4HfpegVup8htd2Q6Auw2gZSlA+RtTRLNIb1uozuT4QDoxj5XfFAp2GyCKdd0wAxD19Ko8il0RIF1Wy282WCh0iswOTPHsNo/uH8rUla2o0zf4LZFJFo7CwLjzI2t26GnmPS3LTENnRlkSX3j/OLbaXicyM2/VNCv4bTpv0FNIQUpZeZ1BXxO6BoWRnE3rG6rdTvhtHf97xqlbR6Vn9awxNs7LGxplEhbwLigGFFTLWym/rtT7dcdzNnpcC67hRq/gWm1BmqDukMs2/bJTCFeS0J3dsUU2sISLeHMlLduHe3ObkGx096/KYpUbEQEy4888gjuvPNOvPHGG0gmk5g5cyYuvPBCXHXVVbDb7X0+zrp16/C3v/0Nzz77LN588020trbC5/PhiCOOwPnnn49LL720X8cjMg2BoKcrhTye0uks/92m899cDj3iWtntZibUYeSNmJeD7PJgo033uUPZwPndPRLv7pGo9uvCZhOrDVR6jUF5vVgyGzwqtHRKNHboOfexTGBsN/UN8IGmpxsi+3NpIpFSaOqU2Pk/iRq/wCETTEyuMeAdwp9BSyrsalV4Z6eFxpBEIgUIKNgzxfKq/bozJbusRjShbwaSFnLz7hV0Z4s9MwVBAYgm9O9U0LO/dRvL6/eLSk+IrlGfZFr/Hq/bYkEYFio8ApNrDPicXZ2ENlPkFVdU3Y6lMl+kLN3RmErrtiMSz2SVxDMjPqmu34MDCYz3xTQEaoMCll9P5djf/EtL6r9X4YTOeMm9p4L3p2RXZ5/d1B1eTjswoVKgLmii2j+660akLT0il8hUQk53q3Scvb5KKbgduu4KOwlGhpSlsGmXhTcbJMJxidrgyL8fc9j07yiCmfWMwxI7WvV0OEOITFHazJQ76J+/7M+jLXNP4XUJVDvYWTVUhFJK7X+3oXPllVdi+fLlsNlsWLBgAXw+H55//nm0t7dj/vz5ePrpp+F2u/d7nHQ6nQuEfT4f5s6di7q6OuzYsQMvv/wyLMvCcccdh6eeegoVFRVD/K569tiLe5EQFairGJwbcxqZQh2tCASrSn0atA/ZwmbhmE4fr6/Q6U8VXp1mv78e6NbWVlRVVeWCwLaILkjXfVTVMABPpjPF5Rj6nt3sCFIkrm/4Z9YbmDpucKu7S6mwu10HyQ0ten54jV/fJA9khNeS2cro+mu3Y2gyFbJLR502x97nToTsNabyE0sqPPT8XlRVV8Hv3vfPQyqtO7/C8UyQJAChugJFMztHIKtbZ1A2EwKZXUwzU9Xfpv8mlMOIj1T6dziZCSwjcf2+vS5dD2NipZEZuR/+qSL7+h3OdgpkC23GMrUiOruvuNGtNkdudYaC45gGUBvM1DcZA3UkRqLsdW4KSfx3m4WtjRJBL1DlG7332tnpcNksk1zdGtG1Qshozapq7JAIegycckzfR2BK3R6XdGT58ccfx/Lly+Hz+fDCCy9g9uzZAIDm5mYsWLAAq1evxo033ojbb7+9T8c79thjcd111+GMM86A09mVz7t+/XqcfPLJePXVV3H11VfjN7/5zZC8HyIaHboXNgvHdWGzLY06BTFbWXt8pZEZke5Kf8qu493UnEZsRwqt4UxwrHRxOo9TYPwQFaTbn+wIkgzoAH7tuzpFe3qdwEG1eqRnoI1r4dwvBaAuKA64aJCZWf6MaKSy27rSJQtJpXIpzUBXIJX9NdOrNIzOG9q+MkTXdAqfS3+fpNJB865WiS17JZx2PT98So2B2qAOnodrBCyR0n+jI4lMoaO4LkgZinUVqExbXdfObutaccPj1NffZvbeqZFIKbSEJXa26ToSU8Zl6kgEOdo8XJJphTe3p/HmdguxFDCpel/z+UeH7HQ4GhlKOrJ83HHHYc2aNfjOd76DG264Ie+x1atX48QTT4TT6cTevXsRDAYP6LXuv/9+fO5zn4Pb7UZHR0dJ0rE5sjw2cGR59MrOUY/EdeodBJD9be1+Q9wZakF1dTV8Ln1DNRJvilRmXnNbWMFpB6ZmlkSrC/Z9hEcpPY94424LW5skrBE496svOLJM3fVnZJkOXDyl09ojCR1UV2WqAI8LGqj0Ds58cEt2zQEPx3WBtK07WiGclUhmCicC+TUiutdMOFDZOhLtYQXD0NlKB48f/joSY83eDonVbzShPVWBykwBVhrZOLLcDzt37sSaNWsAAIsWLSp6fP78+Zg8eTIaGhrwxBNP4IILLjig1zvmmGMAALFYDM3NzRg/fvwBHY+Iyk/hHPXehJwmAsGR3eklui1ZEYkrbNytl9aaVGXg4PH7LnAmpR5J3rTbwrbmTIGUgBjxc7+IaORx2QVcQf23I5HSRTFf3WzBZlrwOnWAUxcUCHgMvSKFa9/ZOdkVD0KxTH2IkERLRBc5SqR0BpAhgHRcosajR7wdtqEd5e+qI6HnvDeFJHa1SdQGRG4tby7fNXhSls50Wr/dQkubxMHTWN2Zhk7JguV169YBAKqqqjB9+vQe95kzZw4aGhqwbt26Aw6WN23aBABwOBwcLSCiMcXr0ssrxZMKO1r0kmg+l75JrfHrZWj8bl2QpzWsg+TtzRJSjs6RZCIamZz2TDEj6PTZaALY0y6xvUlBQsBtB1yOzJxum4DTlq20LWAYQCim14oNx/VcYwk9OtxT4cRQh14Ka7g5bAITqvTyQM2devmu6kDXmtfsdDwwrWGJ/2zRc5MrfAKTagwGyjSkShYsb9myBQAwZcqUXveZPHly3r4DpZTCD37wAwDAaaedljefmYhorHA5BCbVCKTSel3GxpBEQ4suQqSragrEEgpSMUgmoqHlyKRCZ1Nns0WNYslMSrPUxRItqatvA5nCic5MYBwc2QXSbKZAfWb5rtawwup30qj2CRw+ycS0Wo4095clFd7dI/HGVgudcYmJ1QbsNoFQR6nPjMpdyYLlzs5OAIDX6+11H5/PBwAIhUIH9Fo333wzXn75Zfh8Ptx222373T+RSCCRSORtczqdDLKJqCzYbQJBW366eSqtq8N6g3oUh4hoOGWLGpVbJ51p6IKS1X6F1k4dNG/ao4PmyRwV7ZO2iMSb2y1s3i3hdekaHOVePI9GjhGxzvJQ+v3vf49bbrkFhmHgN7/5DQ4++OD9PmfZsmW4+eab87Zdd911uPbaaw/oXDpDbUgKCbcY2XMd6cB0htpKfQo0xMr5GidTQLLUJzHIonHdEdDaakeijymQbW09X2NO4yGigTCEXpO50qfQFFJ44a00JlQaeN8kE5Oqhn9prZEubenaGduaLGxvkogkgPFV7Myl4VeyYNnv1+swRCKRXvcJh8MAgEAgMKDXeOSRR3DxxRcDAH71q1/h3HPP7dPzrr/+elx99dV52wZjZNkfSCEhKkZ8YSA6cKyGXf54jUcP06lgJoCqqr5XwwYYGBPR4DMNnZ6dSivs7ZDY3a4LL06q1stqVXpLs/zgSJFdzvHdPRYaQ3pR80qfTrvnaDKVQsmC5WnTpgEAGhoaet0n+1h23/547LHHsGjRIkgp8Ytf/CIXNPcFU66JiIiIaKjYbQKTqgUSKR00b2uWeg63R2BSlV5aq8Ircut2Fy70qudz63ndUiI3vzst9drRlgRSli6klkwrXZXcLuC06/nidpsuohZwY1hGtZVSSKaBeEpXRU+m9bml0kAyDcRSEtEE0NSh0BFT8DqB+n2s2kA0XEoWLGeXcmppacGWLVt6rIi9du1aAMDs2bP7dezHH38c559/PizLwt13340vfvGLB37CRERERESDyGkXGF/ZtbRWZ0zhP1stCGHp+dsCQCZQVpmIWUEHz7Lbh5J6eza0VNDrSgvowmhp2XUcADANXUk84BaYVG2gJmCgxi8OqPBYtsJ5LKkyH0AkIdEZ0yPGybROr06lM+eTIYRe7itbaHJarRjRxdtobClZsDxp0iTMnTsXa9aswQMPPIAbbrgh7/HVq1ejoaEBTqcTp556ap+Pu2rVKpx33nlIp9O4++678aUvfWmwT52IiIiIaFA57TpYrQnoUeN4QQGJ7mnIhtBBsBCAKTKBcT8CTEvq4LUzpvDae2kYQi8hOL5SoL5CL3HlsHVVLbeb+vhS6tUUogmFSEIHx+0RifaIDo6TaYVEOjsSrmAaehTbbgJ2U+SOa3KONo0SJS3w9c1vfhOf/vSncdttt+GUU07JjSC3tLTgsssuAwBcfvnlCAaDueesWLEC119/PSZOnIjnnnsu73hPPPEEzjnnHKTTafz85z/HpZdeOnxvhoiIiIhoEJiGgNc1tMfvXn3cknrJrk27Jd7ZKWEYgC37YeoA12UXiKYUEkk9Cq5HhxVsZld6d0UmGGbBMioXJQ2WzzzzTHzta1/DT3/6U5xwwglYuHAhvF4vnnvuObS3t2PevHm49dZb857T0dGBDRs2IB6P521vbGzEWWedhWQyiUmTJuGll17CSy+91OPr3n777aipqRmy90VERERENFqYhkCFt2vdayl1MJy29NznRFqPJNtMwO0UqPSN7UJkNHaUfOmo5cuXY968ebjzzjvx0ksvIZVKYcaMGVi6dCmuuuoqOByOPh0nGo3m1kbesWMHfve73/W677e//W0Gy0REREREPTAMAUdmXrPGwJjGppIHywBw3nnn4bzzzuvTvkuWLMGSJUuKtk+bNi1X+ICIiIiIiIjoQHDBXyIiIiIiIqICDJaJiIiIiIiICjBYJiIiIiIiIirAYJmIiIiIiIioAINlIiIiIiIiogIMlomIiIiIiIgKMFgmIiIiIiIiKsBgmYiIiIiIiKgAg2UiIiIiIiKiAgyWiYiIiIiIiAowWCYiIiIiIiIqwGCZiIiIiIiIqACDZSIiIiIiIqICDJaJiIiIiIiICjBYJiIiIiIiIirAYJmIiIiIiIioAINlIiIiAgA88sgjOOmkk1BZWQmv14v3v//9+MEPfoBUKtWv46xbtw7Lli3DwoULUVdXB7vdjsrKSpx44om48847+308IiKiUrCV+gSIiIio9K688kosX74cNpsNCxYsgM/nw/PPP4/rrrsOq1atwtNPPw23273f46TTacyePRsA4PP5MHfuXNTV1WHHjh14+eWXsXr1avz+97/HU089hYqKiiF+V0RERAPHkWUiIqIx7vHHH8fy5cvh8/nwyiuv4KmnnsKjjz6KTZs24cgjj8Tq1atx44039vl4xx57LB5++GE0///s3XmcFOWBP/7PU9V39/QcDAzXcCjegkHBkAUTv+AmajxR+CIaIWbFDaKr5rsCGn+KJEqM36woSlyjMcGgiAqGDcYDk2wQoyB8jW4SRQUZbpizZ/quen5/PF19z333fN6vF3R3VXV19dRMP/2p5zp+HG+//Taef/55/PnPf8auXbswbNgwvP/++7jjjju68R0RERF1HsMyERHRAPfAAw8AAJYsWZKsFQaA8vJyPPHEEwCAVatWob6+vtV92Ww27NixA7NmzYLT6cxYN378eDz00EMAgBdeeIHNsYmIqE9jWCYiIhrADhw4gO3btwMA5s6dm7N+2rRpqKysRCQSwebNmzv9ehMnTgQAhEIhHD9+vNP7IyIi6i4My0RERAPYrl27AABlZWUYO3Zs3m0mTZqUsW1n7N69GwDgcDhQVlbW6f0RERF1F4ZlIiKiAWzPnj0AgFGjRjW7TWVlZca2HSWlTDbDvuSSS3KaaRMREfUlHA2biIhoAAsEAgAAr9fb7DY+nw8A0NDQ0KnXWrZsGd599134fD6sWLGixW0jkQgikUjGMqfTyYBNREQ9hmGZiIiIut2vf/1r3H///dA0Dc888wxOOumkFrd/8MEHsWzZsoxlixcvxp133tmp4whFJRoDtbDbABkVndoX9V2BhtrePgTqATzP/UtjgwktpqGmxt7m59TW5p7jnuzCw7BMREQ0gBUVFQEAmpqamt2msbERAOD3+zv0GuvXr8cNN9wAAHjqqacwa9asVp+zdOnSnOmluqJmORSV8BXFUFRchiI3w3Ih8xezT/xAwPPcf4Rhosijoays7WEZ6NlwnI1hmYiIaAAbM2YMAKCqqqrZbax11rbt8corr2Du3LkwTRNPPvlkMjS3hk2uiYiot3GALyIiogHMmsqpurq62QG8duzYAQAZczC3xcaNGzFnzhwYhoHVq1fjxhtv7NzBEhER9SCGZSIiogFs5MiRmDx5MgBg7dq1Oeu3bt2KqqoqOJ1OXHzxxW3e76ZNmzB79mzE43GsXr0aN910U5cdMxERUU9gWCYiIhrg7rrrLgDAihUrsHPnzuTy6upqLFy4EACwaNEiFBcXJ9dt2LABp556KmbMmJGzv82bN+Pqq69GPB7Hz3/+cwZlIiLql9hnmYiIaIC74oorcOutt+LRRx/FlClTMGPGDHi9XmzZsgV1dXWYOnUqli9fnvGc+vp6fPLJJwiHwxnLjx49ipkzZyIajWLkyJHYtm0btm3blvd1H374YZSXl3fb+yIiIuoMhmUiIiLCypUrMXXqVDz++OPYtm0bYrEYTjzxRCxZsgS33347HA5Hm/YTDAaT8yPv378fv/rVr5rd9r777mNYJiKiPothmYiIiAAAs2fPxuzZs9u07fz58zF//vyc5WPGjIGUsouPjIiIqOexzzIRERERERFRFoZlIiIiIiIioiwMy0RERERERERZGJaJiIiIiIiIsjAsExEREREREWVhWCYiIiIiIiLKwrBMRERERERElIVhmYiIiIiIiCgLwzIRERERERFRFoZlIiIiIiIioiwMy0RERERERERZGJaJiIiIiIiIsjAsExEREREREWVhWCYiIiIiIiLKwrBMRERERERElIVhmYiIiIiIiCgLwzIRERERERFRFoZlIiIiIiIioiwMy0RERERERERZGJaJiIiIiIiIsjAsExEREREREWWx9fYBEBEREfWUJ9+IYOvfHPD7YvC7BVwOwGUXcDsAl0PdutNunXZAE6K3D5uIiHoBwzIRERENGFEDCEYFGmtM7Jetby9EKky7HQIeZ/p9wOMQcCduPU61zK4DggGbiKjfY1juIW98GMOGD+wwRQxuh0B2GSoEILIeZy+3Cl5rnZa1TfryjGVCtbcXIvEcIVLbiNT26c/TNWuZ2lbTUttY63QBCA3QhYCmpdYlbzVA1wR0Dcl/1r54lZ6IiHrDLRc5MdhZh7JBXrgdQDgGhKMSoRgQikqEo0AwIhFOPA5FE7cRoLZJ4mCtCdlKyNa1RJB2CnidKlh7nallHifgdYrEcsBuY5lIRNQXMSz3kPqgRHWjgBQSdl0tSy9r0wte675M3pdI3KQt69+EAGyJIK1pgC0ZqAVsurpv3VrLbBqg64BdA3RdwJa2jU1X29gT21mPbWmP7Tpgt6nHmsYvJkREA51NF/DpgM/V9jJBSolIDAhGJYKRVKAORiSC1m1ErQtGJaoDQNwwW9ynXU8F6FTITg/XAh5HKmjrLMOIiHoEw3IPmfU1B/R4LSLCg4qSrhlXTcrcEC3bcN+U1q1MrjPTbnPum2pbUwKmmVpumoCRXJZabyT+pR7L5GPDBOKGdV8mH1vr44b60mEtM0wgbrZ+Fb+9NJEZsO3WfVsicFvh2grgtvTHQoVuHXDoAjYb4Eg+VyAcA7ymTNTU8wsNEVEhESLRz9khUOZr23Oi8UR4jshkyA5GJJoimeE6EJY4XC9htpyt4bSnmoB70kO1FajTmoa7napsIiKi9mNY7seEEKqJdofLwP5TeGYHa3UrETOAeOJx3JCJW2tZYr2Rtt4EYgYQiyfux9W6mKG+qMSC1uNWvqm0dKyGE7oegRDqC4rDCtaJwJ1+354I2jabyAjcVmi3J5arfah9WbXjDOJERP2Dw6Y+v0u8rX9up9dcN4Xz1FhHgaawum1rs3C7rkKzO2sAM48j38BmAi474ODAZkREDMvUP1h9nx0Zv7HdV4hLKZMhPBZXYVqFaPU4aj1OrIsZqRDe2BSFZnMklsnENmpdMAJE4yqMd7a2PCNwJ+6rMJ253JG1Tfb21pc4hnAiot7X3ppr0wrXiZrqUCJQq37WqaBt9b2ubQSi8dYvCAsBOG25o4U77YDbrm6ddhWsXcnHapkzcZGY5QkR9XcMy0R5CJFqdu12AO0J5g31AfiL7S1uI6WqKY+lBe5oWqiOGYlQHU8F8dzHqSAejasaCHW/47XiVm24045EmBaJQJ2o5bZlLst332lPC+D8skRE1K00kaoVHlTUtudYXZ6sAc2SA5nFUo+tAc4iMaApovpet6fVlSYSwTlRJjjtgNMqK+wqiKeXH3Zb2npb2gXfRPBmLTd1NVOqig/1/SpVMWK1OLRaJxpmqnVidvdB05RpXRJT3RiB3PsAcgf4BZKD5GYPumuN26OlDZRryzOWj00H7JrI7UrIv50uwbBM1AuESA1A1t4w3hqrVjwWt2qxZfJ+NP1+ImxHs4J3JJYK68GoRH1Q3Tda60TXDOtLksOmvhzZbamah/QvTNnLsr9gcVA2IqKuYdMFitxAkbt9n6uGqcJzOGbdqjIjFFW3kXjiNpZ6HI0BkbhEYxiIxDpellhdlJLhOl9rqrRuTPGoDn+dkbxwm93FybogrjNM9BvW9xvrdyoSA2rrBGxBA9GY+q4Sicvk+mja9x3rfiyeqpyIGz0zYm6+X6+eHKw32Y1PT12Ysuvqe1e+yo/072XJZYkLXwMxfDMsExWY9FpxjxPoqiBumJmFTcQqhGJSBe5Yan16IRWJqSAeiUsEwqpw60jtt1Xj7bQCdlqotj7EnWmh2+lI3KY1EeQIskREHZc+JVZHxY3M8iH9gm2yzDBaDjmxNrSmMgwbdD3WpmPKHuQzPVi3NOBnxkwcaYOF2rTUGCTpNYADLWRYrejSz1s0cZE+li/MJr5HRBLLIlkBOBqXyZpai2E4Wj3P6a0V3A4Bv8cKjlqy5ULGOdfUBRWrUkPXVM2tpiUusKRNj5o+bWp6DXFqCteWz7lMDLabM8Bu2sC41rg9qYFv1d+RkTZuT0Z3QQOIp7dSNDL/psIhdeGqo10CUxUZ1nexVLBO3rcqPLIqRgIhCbejf03rw7BMRG2ia1ZTP6CzAdxq+hSJpQrESKKgtGom1JemzNoKa1kgLBEJtD902/TcAJ0M1/bMMJ4ZwlPrGLiJiDrOCphddTE3uzWVFcbr6uvhcPkzxhSxAkN6M9uMsUcS64JRiXjIWtfxrk3ZsqfHtKa2tJrXaskpMUWy2a2uAboVyKwmuVZTXSukJZvvimQtpgpq+Ws1LVY4S58hxVqWMauJ1dw4rRlyPBHirCbJVk1t+sCqMUN2uAbVGiDVYVcD0ZV4AKddS3b3ssKXEYugxO/KDGe2VKDr6zWh1jlreZ6c7jl+KfNfmLK+i0UzvnulLmREkpUjEg1B6/lt+zuJGcA5J+i4fLKjW95Td2BYJqIep4lU057OFAKmtJpb5Tb9s+6H05prpbZRgft4BwO3Dge87kjq6mpikJv0Ajqnj15Wv26dg6kREXVac62pfLqEv1jv9P6bG/AzmjbThhUQrUCeM0tH+mMTMBIB3jDVc0LptYZGx5uq97T08G/VyHscqZp2m67lbf6bXtOb3nfdnhZ229r1qqHe6JLzPBCJLvouBiS+j8WzK0Fksnm8taw6YGJUeddModtTGJaJqN/SkqPGAh39oLdGks2uxc4XvK11gSYJKQSaIhI1bRxZNvfY0we1aaYvntW3Lu0LRs7c4Dqb+xERdZfODPjZUVLKtCa4uU1y02t+s5vwSgCwlkMtkOlHnXb4AqqsSDYbTjQdtpoVW82NNSGSy6xwzAu+lE4T1sj4QEt/I0frTRR7GJaJiPqN1EiyQFu/BDXUN8JfnBp21pSZ/e2Sfa6ympCnN3Wy+uWpfkNq8BurKVNXDPzRluZ+etoyTaSWq2Z+Iu2LkvXFKK3JX6KvVvbonRn9tbL6bVnzwmuJW5F+myDyPG6r7J+b9TAYUX27iIj6AyFEsul1nrU9fThEAxrDMhFRJ2ki1ae5vaPLZsueViwalzl97mJp/cGsUczjaYN7WNNcpO4j0aev/zb36wzTBMqKBOb9L2dvHwoRERH1IwzLRER9SHdOK9Yca+CWeFZzP1NKNbiLmWrmZ0pAWttIqe5DLZNIm2sSqZre9EFkgMTon7DuJ26zH3eydj29RjoSa66GhoiIiKh5DMtERAOcNcKqPWdNYTT3awpLBCO9fRRERETU3/SJa+3r16/H+eefj9LSUni9Xpx11ll46KGHEIu1bX68bB988AFmzZqFiooKuFwujB07FrfccguOHj3axUdOREREREREhajXw/Jtt92G2bNn45133sG5556LCy+8EPv27cPixYsxffp0hEKhdu3vpZdewpQpU/DSSy9h9OjRuPzyy6FpGlatWoUJEybgs88+66Z3QkRERERERIWiV8Pyxo0bsXLlSvh8Prz33nt4/fXX8fLLL2P37t0YP348tm7dinvuuafN+zt48CDmzZuHeDyOJ598Eu+//z7WrVuHTz/9FNdddx2OHDmCuXPnQnbFULNERERERERUsHo1LD/wwAMAgCVLluDss89OLi8vL8cTTzwBAFi1ahXq6+vbtL9HHnkEwWAQF1xwARYsWJBcrus6Vq9ejeLiYmzfvh1vvPFGF74LIiIiIiIiKjS9FpYPHDiA7du3AwDmzp2bs37atGmorKxEJBLB5s2b27TPDRs2NLs/n8+Hyy67DADwyiuvdPSwiYiIiIiIaADotbC8a9cuAEBZWRnGjh2bd5tJkyZlbNuSQCCQ7I9sPa8z+yMiIiIiIqKBq9fC8p49ewAAo0aNanabysrKjG1bsnfv3uT95vbZnv0RERERERHRwNVr8ywHAgEAgNfrbXYbn88HAGhoaGjz/lraZ1v3F4lEEIlkTsrpdDrhdDpbPQ4iIiIiIiLq/3otLPdlDz74IJYtW5axbPHixbjzzjs7td9AQy2iwoRb9PqMXdSNAg21vX0I1M14jvuXYFgiFAVqauyIOEWbnlNbm/8cl5WVdeWhERERUR/Wa2G5qKgIANDU1NTsNo2NjQAAv9/f5v1Z+ywuLu7w/pYuXYo77rgjY1lX1CwX+WOIiBL4ixmWC52/mF+oCx3Pcf+hOyX0CFBWZoe3jWEZYDAmIiIa6HotLI8ZMwYAUFVV1ew21jpr25aMHj06eX/fvn0YP358h/fHJtdEREREREQDW69VcU6cOBEAUF1d3eyAWzt27ACAjDmYm+P3+zFu3LiM53Vmf0RERERERDRw9VpYHjlyJCZPngwAWLt2bc76rVu3oqqqCk6nExdffHGb9nnllVc2u7/GxkZs2rQJADBz5syOHjYREVHBWr9+Pc4//3yUlpbC6/XirLPOwkMPPYRYLNah/X3wwQeYNWsWKioq4HK5MHbsWNxyyy04evRoFx85ERFR1+vVzrN33XUXAGDFihXYuXNncnl1dTUWLlwIAFi0aFFG/+MNGzbg1FNPxYwZM3L2d9ttt8Hj8eCtt97CU089lVxuGAYWLlyIuro6TJ48Gd/85je76y0RERH1S7fddhtmz56Nd955B+eeey4uvPBC7Nu3D4sXL8b06dMRCoXatb+XXnoJU6ZMwUsvvYTRo0fj8ssvh6ZpWLVqFSZMmIDPPvusm94JERFR1+jVsHzFFVfg1ltvRWNjI6ZMmYKLLroIV199NcaNG4ePPvoIU6dOxfLlyzOeU19fj08++QSff/55zv6GDx+OZ599FrquY8GCBZgyZQrmzJmDk08+GWvWrEFFRQXWrl0LIdo+wAsREVGh27hxI1auXAmfz4f33nsPr7/+Ol5++WXs3r0b48ePx9atW3HPPfe0eX8HDx7EvHnzEI/H8eSTT+L999/HunXr8Omnn+K6667DkSNHMHfuXEgpu/FdERERdU6vD8u8cuVKrFu3Dl/72tewbds2bN68GSNHjsSKFSvw9ttvw+12t2t/s2bNwnvvvYeZM2fiiy++wIYNG2AYBm6++WZ8+OGHyX7NREREpDzwwAMAgCVLlmSM61FeXo4nnngCALBq1SrU19e3aX+PPPIIgsEgLrjgAixYsCC5XNd1rF69GsXFxdi+fTveeOONLnwXREREXatPzLM8e/ZszJ49u03bzp8/H/Pnz29xm3POOQcvv/xyFxwZERFRYTtw4AC2b98OAJg7d27O+mnTpqGyshJVVVXYvHkzrrnmmlb3uWHDhmb35/P5cNlll2HNmjV45ZVX8K1vfauT74CIiKh79HrNMhEREfWeXbt2AVDzSo8dOzbvNpMmTcrYtiWBQCDZH9l6Xmf2R0RE1FsYlomIiAYwa/rGUaNGNbtNZWVlxrYt2bt3b/J+c/tsz/6IiIh6S59ohk1ERES9IxAIAAC8Xm+z2/h8PgBAQ0NDm/fX0j7bsr9IJIJIJJKxzOl0wul0tnoMREREXYFhmYiIiPqcBx98EMuWLctYtnjxYtx5552d2m8oKtEYqIXdBsgoZ8coVIGG2t4+BOoBPM/9S2ODCS2moabG3ubn1NbmnuOysrKuPKwWMSwTERENYEVFRQCApqamZrdpbGwEAPj9/jbvz9pncXFxh/a3dOlS3HHHHRnLuqJmORSV8BXFUFRchiI3w3Ih8xf33Bdq6j08z/1HGCaKPBrKytoeloGeDcfZGJaJiIgGsDFjxgAAqqqqmt3GWmdt25LRo0cn7+/btw/jx4/v0P7Y5JqIiHobB/giIiIawCZOnAgAqK6ubnbArR07dgBAxhzMzfH7/Rg3blzG8zqzPyIiot7CsExERDSAjRw5EpMnTwYArF27Nmf91q1bUVVVBafTiYsvvrhN+7zyyiub3V9jYyM2bdoEAJg5c2ZHD5uIiKjbMSwTERENcHfddRcAYMWKFdi5c2dyeXV1NRYuXAgAWLRoUUb/4w0bNuDUU0/FjBkzcvZ32223wePx4K233sJTTz2VXG4YBhYuXIi6ujpMnjwZ3/zmN7vrLREREXUawzIREdEAd8UVV+DWW29FY2MjpkyZgosuughXX301xo0bh48++ghTp07F8uXLM55TX1+PTz75BJ9//nnO/oYPH45nn30Wuq5jwYIFmDJlCubMmYOTTz4Za9asQUVFBdauXQshOMAWERH1XQzLREREhJUrV2LdunX42te+hm3btmHz5s0YOXIkVqxYgbfffhtut7td+5s1axbee+89zJw5E1988QU2bNgAwzBw880348MPP0z2ayYiIuqrhJRS9vZBDBSv/PkIIqIEFSW8RlHIGuprOI1BgeM57l+awhLBCHDJJDu8zrbVZNbU1PTqVBXUfUJRiRfePoKyQZw6qpDxc3pg4HnuX47Wmyj2aLhoYtunjurt8pipjYiIiIiIiCgLwzIRERERERFRFoZlIiIiIiIioiwMy0RERERERERZGJaJiIiIiIiIsjAsExEREREREWVhWCYiIiIiIiLKwrBMRERERERElIVhmYiIiIiIiCiLrbcPYCDRNaAxBJi1JorcAh4noAnR7v2EoxIQgMve/ue2JBqXaAhKNIUlJAQgJex2AZcdcCZubXrXviYREREREVFfxLDcg8ZX6ohoNhyoMVEdkDjeICGEhM8FeF0CThsgmgnPMUOivkkiEAZcNsCUQMwwUerT4Hc3/7zWhKIqIAejgF0HSjwCJw3TUewRCEaB2kYTNY0SoQhQ2ygRNyWcNsDvEfA6O/66REREREREfRnDcg8q8WkoK9Nx6ggNjWGgOmDiaIOJgzUStQGJSBwATDhsAm6HgNsBROJAXZOEAFDmEzhthIZhpRoME9h7zMCXxyT2HpXwuSXKfAK61nJ4lVKiKQI0BCWiMcDpAEq9GsaPEhhcrGGQT2TVHuswTRWmmyIqsFdVmzhWb+JYA2DXJYo9Al5Xx2rJiYiIiIiI+iKG5V4ghECRGyhy6xgzREfMkAiEJAIhIBCWON6ganNrmyQcusBpIzWMLNNRUSJgTwuyFSUaThshUVVt4PPDJvZXS0BK6Dpg01VNsU0XsGlA3FQB2TAAjxMYWqKhslzDYL9AiUdAayFka5qAzwX4XAIVxcBJwzQ0hIBjDSb2V5s4Ui9R3SCh6xJ+j9q2tdBORERERETUlzEs9wF2XaDMJ1Dms5aoAN0YlnDYBLzO5oOn3yNwhseGk4ZJHKwxUR+UCEYlghEgGJGIGUAwAmgaMG6oqpUuL9Lg93Q8zAohUOwBij06xg3VEQhJHGswcajWxMFaif3HJSBk4oJAZsAnIiIiIiLqDxiW+yi7LlDqbXvIdNgExgzRc5bHDIloHNAF4HJ0T2gtcgsUuXWcUKEjGJGoDkgcqjNwoEbiUK2EaUq4HSrYu+zs50xERERERH0fw3KBs+sC9twM3W08TgGPU6CyXEM0roJzdcDEvuMS9UETh6OATZfwu9lcm4iIiIiI+i6GZeo2DpvAsFKBYaUaTh8pUR9S4flwrYnDdRIHaiQMQ8LlUP2hvU602He6s+qDEjUBCU0AEoAQqb7ddl0NUuawMbwTERERERHDMvUQTVPNyku9wLihOsJRNYBZbZPqa13TKFHbKCGlCadD9dP2OLum5jkclThcZ8LjEDj7BB0lXoFoTE2b1RhW03GFohKHayU0IVHuF93WZJ2IiIiIiPoHhmXqFS6HwDCHwLBS4PSROpoiKizXNKpa5/pEkDZNCbsN8DrVVFpOe9tDrGFKHKmTiJsqoJ8+Uke5X8u7bcxQYXn3IQP7a0wYpkR5kYDXxdBMRERERDQQMSxTn+B1qtrkkYM0TBitRvKuD6p/R+tNHA+oJtzRmIQQgMOu+ke7Her5hgmYpro1TCRGEweGlwqcUWlD5aCWp8ey6wKV5QIjygSO1Et8dtjAvuMmjjWYGFSkocjN0ExERERENJAwLFOfZA0UNqwUOHWEjmhcNZluCEo0hCSO1kvUNUkcb5CQAGyaauqtCUDXAJ9TYPwoDeOG6u2qjdY01c96aInA8YDEF0cM7Dli4liDRJlPTZnF0byJiIiIiAofwzL1Cw5b9lzUQCSmArQQqm+zTVeh2aZ3vq+zEAKD/QKD/RpOHmZiz1ETnx82sfeoRLFXosQroOUJzaaUiMUlmsJqjutoXN3G42qu61KfgK8fNu2WUsKUgCkBKVUtfsbjxK2UgIRM3s/ZT+JWzR8O2DgHNxERERH1UQzL1G857aJdtcYdVerTUOrTMG6oxN6jBnYnQrNNlzDNzG2FAMJNEmU2wG4Dij0ailxqLuqGkMT+ahNH6yWKPUCJV/T41FlSShgmEDeAeOLWMFPLrGbsAqlga93XNKiae6HuC6iaeCHUcpH4pycuIuiJ7dN/NkjsKxgBDtaq0dAddqsZvnqOdVwxA4gbMnlcVjg3TUBAQkJk7BdIHYeupf8T0JMXUdTo52wdQEREREStYVgmaiO/R2DCGBtOHCax75iBxjDgsgvYbYnpp2xqTuumBjuGVtjhsufWnNY2mth33MQXR0zsPy5ht6nm3V0x+nYsESxj8bT7iaCZXstr1b7bdFUb77Spiw4uO+B2Am67Bl3P3E7X1GMrgGqJAGo1e08PzOq25fcTiqr+6HVNaqTy6oAajM20jk9Tr2vXBYrdAk676qdu09SxWscDAIZU7zEel4iZEvE4EDGAaAwIx9SFgGhM9YOPm6qWXwpV9W3TBRw29R5knppyIYBij+oSQEREREQDC8MyUTt5nQKnjWz+T6dGas02tbZqqU8ZLnGw1sRnh00cqzcRiUvYdDXftM+VG7KltJp1J5p2x4GoARhGItHJ1JzRKgCqqbq8LsDn1OBI1HQ7bCocWrd2mwqdPV3T6nYIuB0CQ0tUn/RITKIuKAGZeZydrQWWUiZrquOJZvGhqArRoSjQGDbREFTh3a6riwB2HdB1wK4B4RhwrMHE0ToJp0O1BnBzWjEiIiKiAYFhmagXuBwCJ1ToGDNYQ22TRE2jxJE6E0fqpWqebErYtFQYFkIFRxUiBUr8KlT73BpcdlXD7bRbtcSAw9a/mho77QIVxV1/vEKo8GvXk0uyttDREilV7ffReokvE6OjH66VMCImHG7J+biJiIiIChjDMlEv0jSBQUUCg4qAk4apGlYrPAdCJrwuDW67CtduhwrFLjtanAaLuo4QAqU+gVIfcNIwDXVB1Vz8o8801DRKROISXqeqcXbYeE6IiIiICgnDMlEf4rSraauGlgCt1XpSz9K01Ijsg102SIcdR+pMfHlMDdoWNyR8LsDrUhc0+lPNPhERERHlYlgmImonTRMo82sY7Ndw6giJ6oAaqGzfcRP1TRJHYoAQEm6H6uPudiLvVGPNMU3J1gNEREREvYxhmYioE2y6QEWJQEWJhjNHSTSEJOqbJGobJQ7VSTQETVQH1BzcQqj+5Fb/codNDdoWjklEYkA0luqjLqWE36NG4+7pKcaIiIiIiGGZiKjL6JoahbzUC4wZAnxFSjSGgfqgRDAi0RSWqGmSaAiq+3WGGrTN5VADnJX6NHidqjn+0XoTe4+aqDouoesSZV4BbzOjrBMRERFR12NYJiLqJkIIFLmBIndmyDXMxBRWUTWitseRO2jbiDINp42QOJToF32oVvWNTrbmFmpsb5GY39rrZC00UV9kmhKRuGpFEonJ5Bzu1tz06r5ILtMEoGmZ961tiIioZzEsExH1MF1LTP3VSk2xyyEwdoiaYqyuSeJIvZpvG1IFbikBQwIxQ+JQrcSBagkJiWKPgN/NUdOJepqUEsEI0BCSiMYACRV0XXbViqTEo8FuU/O+G6ZE3ABMqf4ZBhCX1mOZXC5N9XcupYSA2qcl31+4BKBrSEwjaE0ryM8DIlKfI6r7l5pW0+Pk50JrGJaJiPq49CmsmhOJqfmgD9YaqDouse+4hK5JFLlV7TZrnIm6hyklGkMqIMfigMcJVBRrqCjR4HGoL6Nuh4DHibxTzEkpYZiJkJwIxoYBGFKqxzn/Uttb0vcaN4FAyERdE9AUUd0+InFAmjIZ3jUNsGnqy7JNF7Dp1n1+VhAVAinVxfVITI2LEo6pzxVAXTxz2gVCETUdps+tpsC0683/7Ufj6vPNlEh8/qQ+n9R4LCI5JkuhfYYwLBMRFQCnXaCyXKCyXMOE0RJH6kwcrDVxsEbVOJvShM8l4HMLuOyFVZAR9bRYXCIQViHZlKqVyJjBGkaUaSj3a/C72z59nBAqrOZZ04kjVDuMGaqmOxSVCEVVjVI0BjRFTASjQFNYfaEORYFAXCJmqmbj6tUlhCZg11Oh2grUqebj1ntQR2vVhptm1m2iNYz12Ar+pgRk4l92rbnDpi40NHeRgYhUaI3E1N94JKa6e8jEH5LDpgYT9TkFRpULlHo1eJ0iOc1lY1jiYI2JL46YOFQjAUgUe1XoDUUlwtHEwKMQsNvU36EmAF0HbJqA3Q7YdQFDqu0DIakGNE1cmNM0wO0A3A4Bt6P/hmiGZSKiAuN2CIwZomPMEB3hqMTxgMSxBhP7q03UBCQiMQmRqFmy6datgK4BLgdavLpMNBCZiebVgZCqobFrgM8tcNpIgYpiFZBb61bRG+y6QHFiVP1MqXQeM6wQrW4jib7V0TgQjEg0RiSCYVU7HYwCcUMmA66UgInEl3MJiERfaz3Z7zr/l2u7HXDqgNMh4EjUbNvSarabwuoz63hA4niDRDSuxmso9gj4Pey/TQOTFYyDETXuSdxQF5lciUA6qEygxCPgdYrkhSa3Q8Blz3/xrswnUObTcMoIVcO877iB/dUS4aiE0y4wcpDAIJ9AkVvA51KDkdo06+85c58xQyIUAUIxiVBEfU7WB00cb5BojAA1jVKN3xCTKPb04A+tCzAsExEVMJdDFXgjB6ka59pGiepG9eU3FJUIJQremKFqnGqbVIHmcQJ+D2uhqfAIqCB3PKDmSE9fni6jb7AA3HZgsF/DyEEaBvlU14hCqPG0J2qMva30XYwb1kBlKiyb6TXDUI91Lf2fSDb3zvflujWnQUc0rmqr6oMS1QETe49J7D0q4XVKlPkE7P3o528N9JYxkFtykLfW34eU6vnhqDoHalnmNlZzWJdDNbVtz8+b+p5oXF2kC0bUxSsgUVPrFBheqoKuFWQ7093Krqe+JzSG1VgKPpe6iN6efdg9gD/jk1RX4zhEgcaQao1TH5Rw5m1J03cxLBMRDRC6JlDuFyj3566LJ2qX6oOqRqfquInagEQ4JuG0qxG9Pc7+24yKyOJyCEwca4PPn/oKZGUKNcK8SDYrttYJARQlvpAO1ABi9W1uLVR3JYdNYFCRwKAi4IQKHaeNlDhQY+KzwwYO1UoIITGoSPTpQYpCUYmaRtXf0+1AxsBtJtRFBlUtDwjV4jXZ4kcIVdOf3tfU5RAo9miwcoympV7LMIHGsLooGomp/VqDvTntqnmtw9Y7n+NWH9po4oKLSDTttfrLD/SyxUzMktGUqDU2TcBhV39vI8o0DCnW4HcL+D2qGXV3/by6uoWMEAJep3ofFV26557DsExERMkvwh6nwLBSDWdUJmqhAxJV1SZqG2Wy1llP9EPyOFUNBptEUn8zcpCGsrJ+Vr1B8LkEThmu44QKDYdrJfYcNbC/2sSReolSb99pom2YqgatPqgC7rASDSdUaBhUpKlaeWtQt0Tf7bipAmQ0DkSiEk0RiaaI2k+pL7evaUstGqLxxPPDKjjXB01UB1QAawiq1zCsfulCtQKwwrmuiURT+Mx+6VZrDItMb1GQuG/1Q48bMnGbWGaoudJE4iKAw6aa3kuoWvKYoUK0TByTNZq71SzfbjXT72ALhb4qFlfnOBhRLQa0ROsVv0fgpGGa+n1OhONCaMHSnzEsExFRjvRa6FNG6AhGJBpCamTd6kbVDykQkjhWD0hICEhouoAzMQiIPasPIhFRV7HrakDDkYMEqgMSXx438cVhE3uPSvhcqra5p5lSBdS6oIRhqNGFzx6barafOXVX9x2fGpVYoNRrLVEXhaJxNWBTKKZuwzGJYET1Tw3FgHBEIpyYD9wwZEYQTu+frlpfJIJ02n1dU+NeOGyq+47LDridgMepwW1XNeJuh6rhdtnVkUViQCSuplkLxxJ95Q0gGDHRFEGy72s40Vc+blq17DLZTaKxwURxzMzpAmDd19KWa21s8t7VTKl+5sGIalZtSiRbaYwoUyPn+90CJV5VC1sIFwMKCcMyERG1ypMYMGRoCQDoME2JQNgaaCRRaxEy0RBUzciCEfXlJn10XYuW9sUl9SVGZNZkpN0Cia+WIvVFLZ3Vb09CPYdX4YkGBiGsi3oaThkusb/axKcH1fR5kaAJm0vC7ei+8CGlRGNYdV+JxdWgb2MHq4A8vFSDy9F3PousqX38LQR101S1vDEjNT1Qdv905PS5VoO42XSoZtXtqPn1OJub5zfV6sPqIhSNJ2qh40gco7p/7LgOl09TUyQlLgJY7yESV+8pvRZfXdxNzIGeeI3klGppZY+mpb1PDRAQyWX5yqn08iocRXJMEMNIzbXucwmMGaL6Ghd7BIpZa9wvMCwTEVG7aVq+UXZT09VEYqqZmfUlx2piqOZ9VKPbRuJALLEubqgvLIYBxK0Rds1U7YHV5A9pwRhIq59J3DGlGtVX0wBv4otY1hg4RFSAfC6BU0eoJtoHakzs+kRDICRxtA7QNDWXrK+VJszppJTJaa7iifAVN2TyvmGkpg0bVa5hVLnqV9oXR0VvK00TcCb6OCu9/15SXYSAfMdT4bGhrMyescww1XmyaqLjicep5uEyY+7yuAnE4xIxUyKeKKfiyfOunmtNhRa3atnNVO27dSHBui7ssqnm8iMHZQ3C5UJWCwPqDxiWiYioS1mj67bni5Zpytw5WhP3JdJrj1VqTq8VsO4IiGRfweqAxOE6E4GQ6hdW7OYXFKKBwGETGDtEh1+3weZ2oKbRxLEGNef8sfrUNFRI1DCqGaWRuJd5IS69Ca9dt5o3C3gcKgz5XAKD/Rr8OVNzUW+ymmE7k0s6f35MU8KQqRpqq3wyErXvVu01oH43PA4G40LBsExERL1O0wS01jdD6196rJFz1ZebhpBqIhmOSbjtrTyViAqGECLR1FXH2CE6YoZEXZMamTqamMIp2f8Wqaa01qBS2YNMOe1q1Gb2Jx2YkmVUzriA/H0odAzLRERUkDRNoMSrBtohooHNrgsM9gsMzjN1HhFRc9p2IZ+IiIiIiIhoAGFYJiIiIiIiIsrCsExERERERESUhWGZiIiIiIiIKAvDMhEREREREVEWhmUiIiIiIiKiLAzLPSQSieDRRx9FJBLp7UOhbsTzXPh4jgsfz3Fh4/ktfDzHAwPPc+HrC+dYSCllr736ANLQ0IDi4mLU19fD7+ckf4WK57nw8RwXPp7jwsbzW/h4jgcGnufC1xfOMWuWiYiIiIiIiLIwLBMRERERERFlYVgmIiIiIiIiysKw3EOcTifuvfdeOJ3O3j4U6kY8z4WP57jw8RwXNp7fwsdzPDDwPBe+vnCOOcAXERERERERURbWLBMRERERERFlYVgmIiIiIiIiysKwTERERERERJSFYbkHrF+/Hueffz5KS0vh9Xpx1lln4aGHHkIsFuvtQ6NWxGIxbNmyBf/+7/+OyZMno6SkBHa7HUOHDsVll12G3/3udy0+/6233sLFF1+M8vJyuN1unHrqqbj77rvR2NjYQ++AOurOO++EEAJCCPzoRz9qdjue4/4lGo3i0UcfxbRp01BWVgaXy4WRI0fioosuwrp16/I+h+e4MLAs7t9YHg9MLIsLV78pjyV1q3/7t3+TAKTNZpPf/OY35cyZM2VJSYkEIKdNmyaDwWBvHyK14M0335QAJAA5dOhQ+e1vf1vOnj1bnnnmmcnlCxYskKZp5jz3Zz/7mQQghRDy61//upw1a5YcOnSoBCBPOeUUeezYsV54R9QW77zzjtQ0TQohJAC5fPnyvNvxHPcvVVVV8vTTT5cAZHl5ubzkkkvk//7f/1v+0z/9k/R4PPKqq67KeQ7PcWFgWdz/sTweeFgWF67+VB4zLHejDRs2SADS5/PJDz74ILn82LFjcvz48RKA/MEPftCLR0it2bJli7zqqqvkf//3f+ese+GFF6Su6xKA/NWvfpWxbufOnVIIIXVdl5s3b04ub2pqkjNmzJAA8n4QUO9ramqSJ510khwxYoS84oormi2geY77l2AwKE899VQJQN53330yGo1mrG9qapK7du3KWMZzXBhYFhcGlscDC8viwtXfymOG5W40efJkCUD+6Ec/yln35z//WQKQTqdT1tXV9cLRUVf43ve+JwHIGTNmZCyfNWuWBCD/5V/+Jec5e/fulZqmSQDy73//e08dKrXRrbfeKgHI3/3ud3LevHnNFtA8x/3LPffck6x5aiue48LAsnhgYHlcWFgWF67+Vh6zz3I3OXDgALZv3w4AmDt3bs76adOmobKyEpFIBJs3b+7pw6MuMnHiRABAVVVVclk0Gk32ncp37kePHo2pU6cCADZs2NADR0lt9cc//hGPPfYYrr/+elx88cXNbsdz3L/EYjGsXr0aAPDv//7vbXoOz3FhYFk8cLA8LhwsiwtXfyyPGZa7ya5duwAAZWVlGDt2bN5tJk2alLEt9T+7d+8GAAwbNiy57NNPP0UwGASQOsfZeO77nsbGRtxwww2oqKjAI4880uK2PMf9y86dO3H8+HEMHz4c48aNw0cffYRly5bhpptuwpIlS/C73/0OpmlmPIfnuDCwLB44WB4XBpbFha0/lse2Lt8jAQD27NkDABg1alSz21RWVmZsS/3L4cOH8eyzzwIArrrqquRy63yWlJSgqKgo73N57vue//N//g/27NmDDRs2oLS0tMVteY77l7/+9a8AgJEjR2LJkiV46KGHIKVMrv/JT36CiRMnYuPGjcnPbJ7jwsCyeGBgeVw4WBYXtv5YHrNmuZsEAgEAgNfrbXYbn88HAGhoaOiRY6KuE4/Hcd1116G+vh7jx4/HTTfdlFzHc9//vPHGG3jyyScxZ84cXHHFFa1uz3Pcv1RXVwNQV5x/8pOfYOHChfjkk09QX1+PN998EyeffDJ27dqFb3/728lphHiOCwPPY+FjeVw4WBYXvv5YHjMsE3XAv/7rv2LLli0YNGgQXnrpJTgcjt4+JOqg+vp6fO9738PgwYPx2GOP9fbhUDewrlrHYjFcc801WLVqFU4++WT4/X5ccMEFePPNN+FyufDxxx/jhRde6OWjJaL2YHlcGFgWDwz9sTxmWO4mVjOBpqamZrexJtD2+/09ckzUNf7t3/4NTz/9NEpLS5NXwdLx3Pcvt912G/bv349Vq1ahvLy8Tc/hOe5f0pttpdc6WUaNGoVvf/vbAIC33nor4zk8x/0bz2NhY3lcOFgWDwz9sTxmn+VuMmbMGACZozJms9ZZ21Lf94Mf/ACPPvooSkpK8MYbbyRH30xnnc+6ujoEAoG8/St47vuODRs2wGaz4YknnsATTzyRse4f//gHAODpp5/GW2+9haFDh+KFF17gOe5nTjjhhLz3821z6NAhAPw7LhQsiwsXy+PCwrJ4YOiP5THDcjexPrSrq6uxZ8+evKNw7tixAwBw9tln9+ixUcfceeed+NnPfobi4mK88cYbzY7Id8opp8Dj8SAYDGLHjh34X//rf+Vsw3Pft8TjcfzpT39qdv3evXuxd+9ejB49GgDPcX9z9tlnQwgBKSWOHz+eHAgk3fHjxwGk+j3xHBcGlsWFieVxYWJZXPj6Y3nMZtjdZOTIkZg8eTIAYO3atTnrt27diqqqKjidzhbnkKO+YcmSJfjpT3+K4uJivPnmm8lzm4/D4Ug2Icl37r/88kts27YNAHDllVd2zwFTm9XV1UFKmfffvHnzAADLly+HlBJ79+4FwHPc3wwdOhTTpk0DkGrWlS4WiyW/oJ177rkAeI4LBcviwsPyuDCxLB4Y+mV5LKnbbNiwQQKQPp9PfvDBB8nlx48fl+PHj5cA5A9+8INePEJqi7vvvlsCkCUlJfL9999v03M++OADKYSQuq7L1157Lbm8qalJzpgxQwKQV111VXcdMnWRefPmSQBy+fLlOet4jvuXt956SwKQpaWl8t13300uj8Vi8pZbbpEAZFFRkTx8+HByHc9xYWBZXDhYHg9MLIsLS38rjxmWu9mtt94qAUi73S4vvPBCedVVV8mSkhIJQE6dOlUGg8HePkRqwauvvioBSABy0qRJct68eXn/5fui9bOf/UwCkEIIef7558vZs2fLYcOGSQDylFNOkceOHeuFd0Tt0VIBLSXPcX+zfPlyCUDabDb5T//0T3LmzJlyzJgxEoB0u93yv/7rv3Kew3NcGFgW938sjwculsWFpz+VxwzLPWDdunXy61//uvT7/dLtdsszzzxTrlixQkYikd4+NGrFL3/5y2Th3NK/0aNH533+m2++KS+88EJZVlYmnU6nPOmkk+TSpUtlQ0NDz74R6pDWCmgpeY77m9dff11edNFFsqysTNrtdllZWSnnz58v//73vzf7HJ7jwsCyuH9jeTxwsSwuTP2lPBZSJia8IiIiIiIiIiIAHOCLiIiIiIiIKAfDMhEREREREVEWhmUiIiIiIiKiLAzLRERERERERFkYlomIiIiIiIiyMCwTERERERERZWFYJiIiIiIiIsrCsExERERERESUhWGZiIiIiIiIKAvDMhEREREREVEWhmUiIiIiIiKiLAzLRERERERERFkYlomIiIiIiIiyMCwTERERERERZWFYJiIiIiIiIsrCsExERERERESUhWGZiIiIiIiIKAvDMhEREREREVEWhmUiIiIiIiKiLAzLRERERERERFkYlomIiIiIiIiyMCwTERERERERZWFYJiIiIiIiIsrCsExERERERESUhWGZiIiIiIiIKAvDMhEREREREVEWhmUiIiIiIiKiLAzLA8R9990HIUSz/5xOJ8rKyjBhwgRcc801eO655xCNRnv7sPuMP/7xjzk/s2effbbD+/vkk0/wq1/9Ct///vfxla98BTabLWf/e/fu7bLjT/fll19C07S8vwfvv/9+l73Os88+m7P/P/7xj12y73g8jg0bNuCWW27BpEmTMGLECLjdbjidTgwaNAgTJkzA1VdfjZ/+9Kf44IMPuuQ1qXVSSpx33nl5f7e66/eZqD9hWdw5LIvbj2VxYTv//PNb/EzJ/nfhhRf29iH3O7bePgDqG6LRKKLRKGpra/HRRx/hhRdewL333otXX30VZ555Zm8fXkHZu3cvTj311F57/d/85jeQUuZd99xzz+Hcc8/t4SNqn6effhr3338/9u3bl3d9TU0Nampq8NFHH+Hll18GAIwbNw5/+9vfYLfbe/JQB5wnn3wSW7du7e3DIOq3WBb3HJbFncOymAYK1ixTs7744gtccsklCAaDvX0o1IV+85vfNLtu3bp1iMfjPXg0bRcKhTBr1iz8y7/8S7OFc3M+++wzGIbRTUdGAHDo0CEsWbKktw+DqOCwLC5MLIuJ+gfWLA9gV111Fa6++moAQDAYxJtvvokXXnghY5svv/wSGzZswLXXXtsbh1jwvF4vJk2ahEOHDuHTTz/t9tfbuXMn/va3vzW7/ujRo3jjjTdw8cUXd/uxtIdpmrj22muxYcOGnHWDBw/GpZdeiokTJ6K4uBiBQAD79u3D+++/j61btyIWi/XCEQ88t9xyC+rr63v7MIj6HZbFvY9lcduwLO777rnnHpx++unNrh82bFgPHk1hYFgewM4880zMmTMn+fiGG26AYRhYv359xnYffPABC+guVFJSgieffBJTpkzBGWecAV3XMX/+/B4poJ977rmcZZqmwTTNjG36WgH92GOP5S2c/+3f/g0//vGP4fV68z6vpqYGzz//PH7605929yEOaL/97W+TzewAYPTo0fjyyy978YiI+g+Wxb2DZXH7sSzu+6ZPn47zzz+/tw+joLAZNmX4xje+kbMsHA7nLGtuwIhQKIQHH3wQ55xzDoqLiyGEwCOPPAJADQSxceNG3HPPPbj44otxxhlnYPjw4XC5XHC5XKioqMB5552HJUuW4JNPPmn2GJsb4ENKiTVr1mDGjBkYNGgQXC4Xxo0bhzvuuAPHjx9v8X1Ho1H87Gc/wznnnAOfz4eSkhJ87Wtfw5NPPplReHWFkpISLFiwABMmTICu612675YYhpFTW3Haaafhm9/8ZsayV199FYFAoNX9BQIB3HvvvTjjjDPg8XhQXl6O6dOnY926dV163I2Njfjxj3+cs/y2227DI4880mzhDABlZWW4+eabsXv3bjidzpz12b9H8+fPBwBs3rwZl112GYYOHQpd1/GVr3wl57lNTU1YvXo1LrvsMlRWVsLj8cDtdmPkyJG45JJLsGrVKjQ2NjZ7bNmDcowZM6bD282fPz/nvQDAsWPHcOedd+LUU0+Fx+NBWVkZLrjggoxg21mBQAA333xz8vGcOXNYUBN1EstilsUsi1kWUx8haUC49957JYCMf/fee2/OdkuXLs3Z7uGHH87Z7pe//GXOdr/5zW/kKaeckrP8P/7jP6SUUh47dixnXXP/dF2Xy5cvz/te/vCHP+Rsv3LlSjljxoxm93fiiSfKw4cP593fsWPH5MSJE5t97nnnnSdfffXVnOW//OUvO3o6csybNy9n/3v27Omy/Usp5euvv57zGvfcc4986qmncpY/++yzLe7rs88+k2PGjGn2Z3b11VfL//zP/8xZ/oc//KHdx/3iiy/m7Ke8vFwGg8EO/iRSsvc7b948ecstt+QsP+usszKet3nzZjl48OBWf4/Ly8vlpk2b8r72N77xjYxtR48e3eHt8v3+/OUvf5Hl5eXNHtu8efOkYRid/AlKuWjRouQ+y8rK5JEjR3rk95moP2JZzLKYZXEulsUdL4uzj2v9+vVyy5Yt8qWXXpKvvfaa/Otf/9olZf1AxrA8QLRWQDc1NclNmzZJv9+fsY3b7ZaHDh3K2V++ArqoqCjvB0FHCmjr35o1a3JeO18B7XK5Wt3Xtddem7MvwzDk1KlTW33u0KFD+30B/Z3vfCfnNf7f//t/8tixY1LX9YzlF1xwQbP7aWxslOPGjevQz6wjBfS//Mu/5Oxn4cKFnfhJpLT1dzi9gN64caPUNK3Nv8NCCPnKK6/kvHZ3F9DFxcWtHtvSpUs79fN79913M34WzzzzTLPHw7BMxLKYZTHL4nxYFne8LM4+rnz//H6//P73vy8PHDjQ4dcZyNhneQBbtmwZli1b1uz64uJiPPfccxg6dGib9hcIBKBpGq655hqcf/75iMfj2LlzJ8rKypLbuFwuTJkyBZMnT8bgwYNRVlYGu92O2tpabN++PWcEyPvuuw/XXXddq68dDofhdrtx880348wzz8Sf//xnPP300xnbrF+/Hk888QT8fn9y2bPPPot33nknYzu73Y4bb7wR5557Lg4fPozHH38cVVVVbfoZ9FXBYDCnn9G4ceNw1llnAQC+/vWv4w9/+ENy3dtvv41Dhw7lHQjiJz/5CT777LOMZV6vF4sWLcLpp5+OL774Ao899hgOHz7cJce+e/funGX5ptQIh8PYuHFjs/sZMmQIpk+f3uJrWU3eJk6ciLlz56K8vBx79uzBnj17AADV1dW4/vrrc5oD/vM//zOuuuoqCCHw8ssv44033kiuk1Ji/vz5+PrXv45Bgwa1+Ppdqb6+Hueeey6uv/56uFwuvPrqq9i0aVPGNg899BBuuOEGjBs3rt37j8ViWLBgQfJnMX36dHz3u9/tkmMnGkhYFrMsZlmciWVx12poaMDq1auxbt06bNy4Eeedd163vE7B6u20Tj0j39Xs1v7dcsstsra2Nu/+8l3NBiA3bNjQ7DEYhiHD4XCLx/mjH/0oZ5+ffvppxjb5rmYDkK+//nrGdgsWLMjZ5o9//GPGNpMnT87Z5he/+EXGNgcPHsx7lbM/Xc3+zW9+k7P/xYsXJ9evWrUqZ32+Jn+macqKioqcbd96662M7T788MO8V3w7cjX79NNPz9nPa6+9lrPdoUOHWvx9/sY3vpHznHzbXX311TIej+c9lvvvvz9n+9mzZ+dsN2vWrJzt7r///oxtuvtq9le/+lUZjUYztrvuuutytrvzzjvzvm5rfvzjHyf34Xa75Weffdbi8bBmmYhlMctilsUsi7u2LG5LzXL6v5KSErl///4OvdZAxQG+qFmPPfYYvvKVr2Dv3r1t2v7yyy/HFVdc0ex6TdNgt9vx8ssv4zvf+Q4mTJiA0tJS2O325EAIP/zhD3Oe19IAI5avf/3rOYNj5LtyeeTIkeT9hoYGfPDBBxnrR44cmRxYwjJs2DB873vfa/UY+rJ8I29aU5UAwJVXXpkciMKyZs2anOf87W9/y/gZAsCUKVMwY8aMjGUTJkzAZZdd1plDTpJS5izLPtauYrfb8fjjjzc72Mvvf//7nGX33ntvm5ble253WrJkCex2e8ayfH9f6bUYbbV7924sX748+fjee+/FiSee2P6DJKJWsSxWWBansCxmWWxxOBy4/PLL8Ytf/AIfffQRGhsb0djYiA8//BALFy7M+RnW1dXhgQce6NBrDVRshj2Apc/tGI/H8eWXX+KXv/wlPv/88+Q2X375JebOnYtt27a1ur9vf/vbLa4/fPgwLr30UuzYsaNdx1lXV9fqNvlGDi0tLc1ZFgqFkvf37NmT04TnrLPOyvvhfPbZZ7fhSPumo0eP4s0338xYNnr0aEyaNCn5ePjw4fja176WcZ4//PBD/M///A/OOOOM5LLsJl8AcM455+R93bPPPrvFplhtVV5enrPs6NGjnd5vPpMnT8aQIUOaXZ/9ZdHr9eadz9AalTQYDCaX9cR0JOnSz6/llFNOgdfrRVNTU3JZvnPamptuuik5Mu9ZZ52FH/zgBx0/UKIBjmUxy2ILy2KFZXHb/fa3v4XL5cpZPmHCBDz++OM4/fTTsWjRoox1GzZswOOPP96h1xuIWLM8gFlzO86ZMwfXXXcd7r77buzatStnOPx3330X7733Xqv7Gz16dIvrr7vuunYXzgAy+k01Z+TIkTnLsq/kAZlXRvNNyTB48OC8+2/pQ7uve+GFF3J+hldddVXOdvmWZV/R7o2f2cknn5yzbPv27TnLhg4dCqkGLcx7BbwtWvsdrq+vz3jc3HsHct9/9nOzNTctSjQabfF5zWnu2LKXt2VqknR/+ctfklfAdV3HL37xC9hsvO5K1FEsi1kWt7aMZXEmlsUp+YJyuhtvvBFutztj2aFDhzr8egMRwzJlKCoqyntV+sMPP2z1uQ6Ho9l1u3fvxpYtWzKWaZqG73znO3jiiSfw/PPP4/nnn8e//uu/tv+gm3nt1poHFRUV5Sw7duxY3m276+ppT8jX7OtnP/tZzlyA+WoH165dm1HY9cbP7J//+Z9zlr344osdLrha0tLvMKAG2knX3HsHct9/9nOzfz9jsVje/XR0QJvmji17eb5z2pL0uV4Nw8DkyZNzfpd+9atf5Txv7NixLc5hSUQpLItZFqdjWZyJZXHbORwOlJSU5Cxvae5pysSwTDnyXVWrqanp1D4/+uijnGU/+MEP8Otf/xrf//73k1fV8zXz6S5jx46FpmX+CXz44YcwDCNn2+z+VP3Fp59+mvfKb1tVVVXhT3/6U/Jxvn6pzf1suupndvHFF+eMXHnkyBHcd999XbL/9si+st7U1IS///3vOdv9/e9/z2j2BQAnnXRSxuPsq8G1tbU5V+G/+OILHDx4sEPHmq/m6B//+EdGsy8g/zklot7HsphlsYVlcSaWxUokEml1m0OHDuX0b9c0rUf/xvs7hmXKEAgE8Lvf/S5neVunrGhOvit1Xq834/H+/fvx5JNPdup12sPv9+f0f9q/fz+effbZjGWHDh3CL3/5yx47rq6U70p2e6U3/zrjjDNymjT95S9/yamp+Otf/5ozNUJHFRUVYcmSJTnLH3zwQdx7773dclW7ORdddFHOsvSBriz3339/q8/N/puKRCL47//+74xl9957b7NNwlqzYsWKnCZ/P/7xj3O2O//88zu0fyLqPiyLWRZnY1mcwrJY+clPfoJrrrkGO3fuzLs+HA7j5ptvzjn2r371q3m7R1B+7Gg2gH388cd44YUXAGQOKrJv376M7TRNyxlhsb1OPfXUnGUrVqxAMBjEaaedhs8//xxPPPFEp6+at9dNN92Uc9Xv+9//Pnbu3ImvfvWrOHToEB5//HE0NDR06etaP3eLNXdguk2bNmX0aRk7diy++tWvtut1fvOb32Q81jQNzzzzDJxOZ7PPWbBgQUZflpdffhmPP/44XC4XhBC48cYbcz7oL7/8cixatAhnnHEGPv/8czz22GMdLljyuf322/GHP/wBmzdvzlh+//3345e//CWuvPJKnH766fB4PKipqcFf/vKXLnvtdAsXLsRPf/rTjJ/P888/j5qaGsycOTM5t+Prr7+e8byioiJ8//vfz1j21a9+NefL4MyZM3H33XejuLgYL7/8Ml577bUOH+t7772HadOm4frrr4fT6cw7t6Omabjxxhvbtd/TTz8dzz//fIvbrF69OufLxqOPPorBgwfnfDEnGuhYFrMszodlcfNYFiumaeKFF17ACy+8gAkTJmDGjBk45ZRTYLPZ8Pnnn2PNmjXYv39/zvMWLlzY4fczIPXGfFXU8zoyt6P171//9V9z9pdvbsfW5u0755xzWn2t8ePH5yzLnkMx39yO+eZZbMt28XhcTpkypdXj8vv9bXrNturIeZg3b167XuOdd97J2cf555/f6vOuvfbanOe9+OKLyfWBQECecMIJHfqZdWRuR0tDQ4O86KKLOvx73Ja5HdvyM3755ZelEKLNryuEkOvXr8/Zz/Hjx/POGZr9z+l0Zjxu69yOQ4cObXXfHZ3XsTWcZ5koP5bFLIsBlsXZOvIzZlncsc+TWbNmdei1BjI2w6YW3XDDDXj00Ue7ZF+/+c1vUFFR0ez6733ve7jjjju65LXaStd1vPrqqzjrrLOa3WbChAl46qmnevCouka+Zl+zZ89u9Xn5tknfl8/nw+9//3uMGjWq2X1Mnz69y+fxKyoqwu9+9zv87Gc/a3Hky3y+8pWvdOiqbT4zZ87Eq6++mtN3K5+ysjK88sorGfNoWgYNGoSf//znOX31LDabDf/3//5fTJkypUPH+cYbb2D48OHNrr/uuus41yJRP8GymGVx9r5YFrMsrqioaPa4s+m6jn//93/PaeVArWNYpiSn04khQ4bgn/7pn/CDH/wAO3fuxNNPP91l/RpOOeUU7Nq1C4sWLcKYMWNgt9tRXl6O6dOnY926dfjFL37RJa/TXkOGDMF7772Hn/70p/jKV74Cj8eDoqIinHPOOXj44Yexffv2fjddRSwWw4svvpixTNf1vFNSZPvWt76VM1rka6+9hurq6uTjk046CR999BF++MMf4rTTToPL5UJJSQmmTZuGp556Cm+++Wa3NLcVQuD222/Hl19+iTVr1uC73/0uzjjjDAwePBg2mw1utxtDhgzBOeecg7lz5+Kxxx7DP/7xD+zatQvXXnttlx3HpZdeir1792LVqlX49re/jREjRsDlcsHlcmH48OG46KKLsHLlSuzduxdXXHFFs/uZO3cu/vSnP+HSSy/FoEGDYLfbMXLkSMybNw87d+7s1BfW8ePH46OPPsKSJUtw6qmnwu12o6SkBNOnT8eLL76INWvW5J3HlIh6F8tilsUAy+K2GOhl8fe//30cOHAATz31FK6//nqcffbZyeN3Op2oqKjA+eefj//v//v/8Nlnn+Ghhx5iX+UOEFJ2cBI0IiLqE+bPn58zXRM/2omIiHoOy+LCxJplIiIiIiIioiwMy0RERERERERZGJaJiIiIiIiIsjAsExEREREREWVhWCYiIiIiIiLKwtGwiYiIiIiIiLKwZpmIiIiIiIgoC8MyERERERERURaGZSIiIiIiIqIsDMtEREREREREWRiWiYiIiIiIiLIwLBMRERERERFlYVgmIiIiIiIiysKwTERERERERJSFYZmIiIiIiIgoC8MyERERERERURaGZSIiIiIiIqIsDMtEREREREREWRiWiYiIiIiIiLIwLBMRERERERFlYVgmIiIiIiIiysKwTERERERERJSFYZmIiIiIiIgoC8MyERERERERURaGZSIiIiIiIqIsDMtEREREREREWRiWiYiIiIiIiLIwLBMRERERERFlYVgmIiIiIiIiysKwTERERERERJSFYZmIiIiIiIgoC8MyERERERERURaGZSIiIiIiIqIsDMtEREREREREWRiWe1B9fX1vHwL1AJ7nwsdzXPh4jgsbz2/h4zkeGHieC19vn2OG5R5kGEZvHwL1AJ7nwsdzXPh4jgsbz2/h4zkeGHieC19vn2OGZSIiIiIiIqIsDMtEREREREREWRiWiYiIiIiIiLIwLBMRERERERFlYVgmIiIiIiIiysKw3INMUyJuSEgpe/tQiIiIBiyWw0RE1Ba23j6AgeSDL+JokjFoAtA1wKYL2HXArgMOG+CwCzh0AV0HbBpg09U2Ng2w29Rje9pzNE309lsiIiLqV2KGxB/+J47KYTGMKNNRUSJg11meEhFRLoblHtQUAeriEn43EI0DppSQEjBMwJSJfyZgFdkSqfu6Bug6oAtATwRol0PA7QA8TsDt0OCwAU4b4LQLuOwqfLvsgM5QTUREBACIG0AgKPHhXgN/P2CizCswdoiGYaUaynyCF6KJiCiJYbmHue1Ama99rd+llDBMJP/FDSBuStQHJWoa1WPDNJPBGkLVPNttqhba7RAocgF+j4DHKeCyq5DtdqgwzS8GREQ00FSUaHA5gPomifc/N+CyGago0TBmiIbhpRo8TpaNREQDHcNyPyCESDTJzlja7PamlIjFgZihgnR90MSxBnXfYrcBDpuA0w6UeARKvQI+lwrT6h/YLI2IiAqaXRco9wuU+4FQVOJwnYkvj5ko9giMHqxhVLmGwX7WNhMRDVQMywVIEyoEO+3WksxCXkqJmKGagkdiEvurJfYcBaQEhABcdtWUu8QrUF6kQnSRW926HfzCQERUqNavX4/HH38cH374IaLRKMaNG4drr70Wt99+O+x2e+s7SNi1axd+//vf46233sLHH3+Mmpoa+Hw+nHnmmZgzZw4WLFjQrv31BLdDwF0mYEqJhiDw8b44/n5AoMKv4YShGoaXafCytpmIKIPVAtbqTmpYt2Za61iJZNdTjwMobWcr297EsDwACSHUgGI2wOfKLPhNUyISB8JR4FCtiS+Pqr7TNh1w2wV8boGhxQIlPoFij4DfLWBjDTQRUb932223YeXKlbDZbJg+fTp8Ph/efvttLF68GJs2bcIbb7wBt9vd6n7i8TjOPvtsAIDP58PkyZNRUVGB/fv3491338XWrVvx61//Gq+//jpKSkq6+V21nyYESrxAiVdHOCZxvNHE/r+p2uYTKjRUlmsoLxIQgmUfEfVPUkrETaS1RJWIG+p+zMjs/mkYQNSQiMVlstVq3ABipoRhICMoS2sMpsS4TKZMLZNQ24wq13DBBIZl6qc0zerPDKTXSMfiEuGYatJ9uA6Qpqq5djsFKooFyos0lHgFSn0CDhu/QBAR9ScbN27EypUr4fP58Kc//SkZdo8fP47p06dj69atuOeee/Dwww+3aX/nnHMOFi9ejMsuuwxOpzO5/KOPPsK3vvUtvP/++7jjjjvwzDPPdMv76Souu8CwUlXbXN8E/L+9Bv6+38DwMg1jh6jaZpZ5RNRfBCOqu8kXR0zUB61QrIKzYaYGGpYCgEzcB6AJQNPUrRD5HqvZfLTkOgEBtU3yVgDHG1Tg7k+E5GSDPeaVPx9BRJSgoqT/XE1pSTgmEYxIBCPqSpRdA7wugSF+gSElifDsHXjhuaamBmVlZb19GNSNeI4L30A7x+eeey62b9+OH/3oR7j77rsz1m3duhXnnXcenE4njhw5guLi4k691nPPPYfvfOc7cLvdqK+v7/Hm2KGoxAtvH0HZoDIUudtfPoWiEscDEqYBDCoSOGmYjspyLaelFvWugfY3PFDxPLfONCWONUjsrzGx54iJhqCE3a5al+paYjrbxG13j89wtN5EsUfDRRPb/rnf2+eYNcvUYS67Glm7zKcexwyJpjCw55iJTw+ZsCeaeQ8tERhaoqHUJ1Ds5kApRER9yYEDB7B9+3YAwNy5c3PWT5s2DZWVlaiqqsLmzZtxzTXXdOr1Jk6cCAAIhUI4fvw4hg0b1qn99TS3Q6BykEDckKhplHjnkzhKqgROHKphzGCtX/XFI6LCFYlJVFWb+PyQiSMNJgxDwu/RMGowv4u3B8MydRm7bvXzUn+AsbhEYxj49JCJv+834XECxR6BEWUaBhWpPl8uDhhGRNSrdu3aBQAoKyvD2LFj824zadIkVFVVYdeuXZ0Oy7t37wYAOByOfl0jZNMFhhQLlPtVE+2dewx8csDA6CEaThiiY0gx+zUTUc+LxCS+PGbik4MGjtVLOB1AuV/AZeeFvI5gWKZuY7cJlPqAUp+AlKrPc0NI4sgXcQihRtceXqZqnQcVafC7wS8WlGSYagq0uKlaLZimum8YaqCIuCFhJjqRpA8ggcQgEgLqP+s3yupjo2vqS65NTzU9sulqTnKHjfOO08CzZ88eAMCoUaOa3aaysjJj246SUuKhhx4CAFxyySUZ/Zn7K02kyrpASOIf+018ftjEqHINJw/XUcHQTEQ9IByV+PK4iX8cMHC8QcLrAioHC+j8XtMpDMvUI4SwBg5Tf7CGKREIAbsPmfjHARNuBzCoSEPlIA3lfoEyH/+4C5Fhqosm0ZhUU5clpi+LxtWgE+GYRCgCRBIjLqpRFmVyGoLkaItIDToBqAci8SB7EIb036L05wkB6MLqowPYNDU4hcsOuBwCnsTvq8su4LADTpsaRd5pF4gZHOqBCkcgEAAAeL3eZrfx+VR/m4aGhk691rJly/Duu+/C5/NhxYoVLW4biUQQiUQyljmdzj4dsIvcaqrFUFTiiyNqzubRgxmaiaj7hKIS+46Z+MfBVEgexZDcZRiWqVfoWqrJtpRqkLBjDSaqjptw2IFSr0DlIA1DijUMKhp4g4T1Z1JKNEWA+qBEKCoRigKNYROBINAYSUw7EJeIJUZdBAABCaGJ5AATVu2vw65+V3Qte+TFzv8+mFIm5wG0/sUNIBCWqG2SyekS0mOxXVfTqMVDMYwfF8eIQRoG+dj3h6gtfv3rX+P++++Hpml45plncNJJJ7W4/YMPPohly5ZlLFu8eDHuvPPOTh1HKCrRGKiF3QbIaPf97ZY4VE3PX3dL/M/nQOUgDScO0zHEz9DcE2pra3v7EKgHDOTz3BSRqDpu4LNDJmqDEl6nauGiQ6Ap0NtHl19jgwktpqGmpu0DfOU7xz3ZhadPhOX169fj8ccfx4cffohoNIpx48bh2muvxe23396uUTJ37dqF3//+93jrrbfw8ccfo6amBj6fD2eeeSbmzJmDBQsW9Piom9Q6IQS8LjWSNqBqGhtCEju/MCA0AyWJfs7DStnPua+xmkoHwhINQTXYzdF6E4GQqkE2AUDKZDNnu03V1trd6nFvhkxNCGiJ8Jsp/zFJmZqD8FiTxAd7DHxcZWBoiYYxQ9Tvp9fJ303qf4qKigAATU1NzW7T2NgIAPD7/R16jfXr1+OGG24AADz11FOYNWtWq89ZunQp7rjjjoxlXVGzHIpK+IpiKCru2GjY7eEHMGSwes1j9RK1+4CKEg2jyzUMKRYo8TI4d6f+3Cee2m6gnefGsMTeowY+OWiitknC7wPOGNo/LtyHYaLIo6GsrH15bECPhn3bbbdh5cqVsNlsmD59Onw+H95++20sXrwYmzZtwhtvvAG3293qfuLxeHJeSJ/Ph8mTJ6OiogL79+/Hu+++i61bt+LXv/41Xn/9dZSUlHTzu6LOcNoFBtsF4Fd9VQMhiY+rDPxPlYEit8CIQQLDSnQM9gt4GE66jTW6eTAiEYxa04RJRGJQ/9KaSodiKkhqAnA71YWPcn9h9f8VQsBuU4G/1KfBX6whFFXzFX55zITfI1BZLlDk0uCyq99jp12NGm/TranWkPw51jap322brrZz6Oo5LrtqDi6lqu2OGRKxeCKom0hVdWf9aO0a4LADDl3AZhOJvtiAxyHg9wh4nRwTgPIbM2YMAKCqqqrZbax11rbt8corr2Du3LkwTRNPPvlkMjS3pq83uW4Pt0Ng1GDVPPtYg4n9x024HEC5PxWc/R42mySi/KRU3xv2HTOx+7Ca/qnYC4wZIqCxbO9WvRqWN27ciJUrV8Ln8+FPf/pTMuweP34c06dPx9atW3HPPffg4YcfbtP+zjnnHCxevBiXXXZZRgH70Ucf4Vvf+hbef/993HHHHXjmmWe65f1Q17Prqv9ymS/Vz/kf+9Xo2j6nCs4DeVoq05QIRoGmsGryHDOQrP0Mx0xEYupxmU8k+9L5XCLZdxwAonGJpogKxk0RVUNc2yjRGJGIxCTC0VQfX01L9fNNbyrt9wjYB2BTebdDwF0mYEqJhiDwjwMmpGkm+0breqLptiYQNVTfbGudNaCYKdVAZVZTcNO0+lWrLTUBCKsZegs/Yqs/tyGhknYiTWtCHWeRW9VolXoF/G6BYq+AXR9454xyWVM5VVdXY8+ePXlHxN6xYwcAJMvpttq4cSPmzJkDwzCwevVq3HjjjZ0/4H7M7Uh9/gYjmcHZ5VDjIqhpGQG3U3VBUq2rBl75RtRXxAyrokDdhmPq+5bDljmeidOuyvauvDAdMyQO10rsOWrgQI2JYBQo8QiMGcJWKT1FSCl7baSac889F9u3b8ePfvQj3H333Rnrtm7divPOOw9OpxNHjhxBcXFxp17rueeew3e+8x243W7U19f3SnPsV/58BBFRgooSDt3eWaYpEQgDDUFV46ampdIwcpDAoCINZT71ZaM3Pki6Y/J0KVXf30BYoiks0RhWTZ7rghLhiEQ4ngpZFi0RaIVQNcGAqml021VoLvEBgaDaZygqk9toAnCm1Yw6OUJ0job6GviLWz7HUko1kndchWC7LTHadg//Thqm+t0JRtStKdVxFCVGox/s1zDIp6GIo9Fn6I6/476sO8rjTZs24aqrrkI8Hsfq1atx0003dceht1soKvHC20dQNqj7m2G3VSiqLkwaphovITXyv4SmCYwu13DaSA4S1h499TdsXbRuTJTNgaAalLKiWMNgf//oOhY3ZHLAzUgMiMbV96qSfnBRtSvPc9xQU55a57K2yURNQHUriyXGWokb6np08qcikGzJZddVCzSfS12g9jhVSzNXWkszlwMt/kylVEE8GAEO1Zr47LCB6oCEEKriw+qy2F8drTdR7NFw0cS257DeLo97rWb5wIED2L59OwBg7ty5OeunTZuGyspKVFVVYfPmzZ2e19G6ch4KhXD8+HEMGzasU/uj3qVpAsUeNW+zFSQbQiY++BwQwoDXlegTaw0KpQG6EMmRj0Xiw82q/dM1QCAxwJQuktMMWc+3BpjSNZGcfkhPfDjqmmpmq56rPug6Q0pV8AZCqpluXZPEsQb1wR2OqgAGqMDjcqgmz4McaFPzvVhc/azqgiaO1CN5NbTUq2qI2ZSn6wiR6Ked0ye6Z+magM+lCm9LNK5+n/5WJWFKNRp9mU/DiLLUxSannb8LA8ldd92FK6+8EitWrMBFF12UrEGurq7GwoULAQCLFi3KCMobNmzA0qVLMWLECGzZsiVjf5s3b8bVV1+NeDyOn//851iwYEHPvZl+SNU4A/nGTAgn5kw9UGPihAoNp43QUerjRffeYA1g2RBUY6tUB0zUNKouNqGYGjTSKkY/kqrr2PAygeGlGgYX9964FjFDXYwJJ1qLqcE31XtoDCPZMi2W6F4lpSq7vC6BimJ1UbXUJ1DsKZwBV2OGRGMoUfESkjjeoM5lJKa+JwFIzpDhsAn4EmOt2LJqjtPHM4kZqnw9Ui+xvxowjET/NKm+I6qL5upv3Z9o7eeyC8RMIBgxEQgh2d0tZqjfK68LGFbW9y9aFLJeC8u7du0CoDps52vyBQCTJk1CVVUVdu3a1emwvHv3bgCAw+EYULUFA4EQAh4nkv2XDVN9+MdNCZmYf1e1TJVp95F5P31ZIusKSMjEF5fkdENIdRm1miSnmiarvqbBQAyDy2PwOK2riKqJjmp2q+6nblVNXyAkUR+UqG9SH7INIdVP2DTV56wrMY1RiVfA1okPTLtNXfX0NzOIFQ0MDluqe4Mp1XRd1Y0m9lcDum6gKPEFqaJEBecSL/tSFrorrrgCt956Kx599FFMmTIFM2bMgNfrxZYtW1BXV4epU6di+fLlGc+pr6/HJ598gnA4nLH86NGjmDlzJqLRKEaOHIlt27Zh27ZteV/34YcfRnl5ebe9r0Lgsqv+zk1hiX8cMFF1XOLk4RpOGqZnXASjrheNq7K5Iahach2pU4EmFFXdZ2yJMOVxCpQVZX5OWl3HPj1o4u8HTPhdAsNKBSrLdQwt6foLktG4CldqfIxUJUJ9ExCMqhBoddWyvsvY076buB2qAsKmqwvn1kXVz45IfHLAhC1RY3pihYYTKvQ+0yqjrWKGGmSvpkniWL0aGCuUaJmnQf0sXA7VrWxwcdsrD9LHM0ksafb1Y3FVax8IS1Q3SsTj1ndKCV0TyfNh0wXcToEhxWzx1Rf0Wljes2cPAGDUqFHNblNZWZmxbUdJKfHQQw8BAC655JKCGTCE8tMTtc7NfWB1FTPRXM6aA9hIzAMcM1TTnWMNqimdNFPPkUg117HpIjkSczCi+rMKkSp4SznXNPUALWs0eqsZ2hdHTfzjoAl3ok+6NRp9qU+Dn022C9LKlSsxdepUPP7449i2bRtisRhOPPFELFmyBLfffjscDkeb9hMMBpPzI+/fvx+/+tWvmt32vvvuY1huI69LNcGsD6rZIvZXm5g8zoah7NrVJdKnPawPqpkdahpV16eYocpntyN/MM4nfYpMq+vY50dMfHrIRIlXYMxgDSPKNJT721bWS6m+JwSjqdrhYBRoaDJRF1RBOZZoTq2mZZTQdQFn4gJ9kdsKY2377E6/qAqkWiTt+NzApwdNnDRMw4lD+3ZoNkyJ4wGJw7VqIM6aJgnTlHDY1ACxpUXq59MT5Zk9MSuIxwl09/dT6lq9FpYDATUBmNfrbXYbn0/9hTY0NHTqtZYtW4Z3330XPp8PK1asaHX7SCSSLOgthTQqJ3UNTRPQNCC714WIqZGS85FSJufzjSduAWBQEZu9Ut9g01Nf8ABVS9EYkvh4nwFTIlH7oGF4qWqyXerjSNuFZPbs2Zg9e3abtp0/fz7mz5+fs3zMmDGd7o5CzSv2CBS5gIO1En/8OIazT7Bh3FCNY0u0k2GmaozrGiUO1amuT6GoKqediQvXg4s73/Q4veuYYaow/uHeOD7eJ1DuF6gcpEPXVYQSAsmuYKZUF9OtZt/hKFKDRUoASJtRwaZqI7trnBErPJd6JeqagB2fG9h9SIXmEyp0+D09+/tnDbpV3yQBh4m4geRgmaapam/3HlX9faMGUOQChpUI2G28uETt0+tTR3W3X//617j//vuhaRqeeeYZnHTSSa0+58EHH8SyZcsyli1evBh33nlnp44l0FCLqDDhFvxDLWSBhtzJ05tj/SZE4kCkxS2pL2nPOS4EDgAOh7rYE44CBwMSn+1THRO8TjW69tBSgRKPBr9H9ZHu7+G5tjb/OWY3HuoLNE1g5CCB6oCJbZ/GURfU8JUxtoLpT9rVrFpjayyQ6kYTR+pVrXEkqmYcsGqNBxV178jjupaqsY3G1ewTh+tiiabRqddNH0DKmj3BYRPwugUceu8NvCmEQKkPKPEC9UHggy8MfHrIxLBSgSF+DSVe1XWnMxUAUqogbNWeh6JqkK1gxERTBAiGVQ16LA7U1UXhKYpBmoAJwDQkIASkVLW45X5WRlDn9FpYLioqAgA0NTU1u01jYyMAwO/3d+g11q9fn5zP8amnnsKsWbPa9LylS5fijjvuyFjWFTXLRf4YIqKk2VpHKhytjZRM/d9APcfp4yCnT132WbWErBbwOIBir4ahJWrguOLEVFX9sUsBgzH1dYOKNLjsEn/90kQgFMekE20o7uEavr4oFJU4XGfiWNhAXZOJYw1qekRrEC5dU0Gq1CvgLOm9i3sOm0BFSf88X0KoVkjFHqAhBOw5qpqY2zTAm7joMLREg9OeGhsGyBwzxjRT0x7GE13bmsJptehxVSssEwPLaHpq4EybrsargVeg2C9SA7qyQoq6WK+F5TFjxgAAqqqqmt3GWmdt2x6vvPIK5s6dC9M08eSTTyZDc1uwyTURUeu0rJG2rcHC6oMmDiUqZl12tb6iRKDMp2qevU4VqnuyZkRK2e9ru4ny8boEKm3Al8cMNIYlzhqto6JES87n3FWs2r5wTP2tpzd7VU1f1SBF1mwRmpaYJUITyekIu0tTRA2QWdukQnJNQOLI8Rg8vjg0DfA41LzVbelrTO0jRKqJOZAaxflAjYk9RxODtiR+5CJtpNRUR43EwkTTc5uWmqnDl+hn3dJgW0akcEbopr6p18KyNZVTdXU19uzZk3dE7B07dgBAcgqLttq4cSPmzJkDwzCwevVq3HjjjZ0/YCIialH2YGFSWk3nJP5+QMI0Teiamrvb5VDTkFjzRnocAm4n4HF0vMlcNDE1WjiqRpMPRYGGoIn6oPp+dv6ZbKZKhcluExg1WMPhWok//k8cXpfA0BI1MN+gIoFid9ubFscMmWiunPhbikjUhdTYBeGoWm9IpJq9puWh9NkirOkXdU0NbuS0q+ly/B41uJLboS62FbnbNy1OKKqOrzFsDcSlboMRdVwuu6rZHFYqUFrKWsaeZtczwzNRf9drYXnkyJGYPHkytm/fjrVr1+Luu+/OWL9161ZUVVXB6XTi4osvbvN+N23ahNmzZyMej2P16tW46aabuvrQiYioDYRQ05G4HQKDVM8bxBODskTiEgdrJfYeU03sBACHHXDaVNO6Eo+A36vBZVdfuAF1K4RIDnwTjqmpPwJhNQBOOKYCcySeGoVe0wAIwGUTiBmqxoKoEGlCzelrTZ/4RaJZrMcBlHjVoHwuu0j+naXX9loDSB1rUE2WQxH1dwQAEEiMqAw47OriVjIMa/lr/UwzEagTNc/RuAq59UGJ2FEkaxadtkSNr0/N5et3qwAtAURi6nnRuEw+vzqg/tZDMVWz3dIMEg0xhjUi6rxe/dpw11134corr8SKFStw0UUXJWuQq6ursXDhQgDAokWLUFyc6iW3YcMGLF26FCNGjMCWLVsy9rd582ZcffXViMfj+PnPf44FCxb03JshIqJWWVOmebOmzjClRDSmBrsLhNV0H/G4ob6RJ+c+V9LHWRZQ81s6bKp2ze9Rc5inf2luCqtmgUQDgZ428rKUqoVFXVOqa4T1l6GmMFSPVdNq9djjRKen1NE0gfQ6Xbcj/ZUVKVUgD0WA/dUm9hwxVYC2q2OJG0j7Y1fdKJx2dfHN7xGws5UIEfWAXg3LV1xxBW699VY8+uijmDJlCmbMmAGv14stW7agrq4OU6dOxfLlyzOeU19fj08++QThcDhj+dGjRzFz5kxEo1GMHDkS27Ztw7Zt2/K+7sMPP8x5HYmI+hBNCLgcgCvPl2oi6hghVEsNjzP34pRhALHE4EmD/OjxvrxCCLjsqma4FKmuG5F4ou+q3nJfVSKintDrDdJWrlyJqVOn4vHHH8e2bdsQi8Vw4oknYsmSJbj99tvhcDjatJ9gMJicG3n//v341a9+1ey29913H8MyERERDUiaENBsqlVGX2IFaCKivqJPfEzOnj0bs2fPbtO28+fPx/z583OWjxkzBlLK3CcQERERERERtROHCSQiIiIiIiLKwrBMRERERERElIVhmYiIiIiIiCgLwzIRERERERFRFoZlIiIiIiIioiwMy0RERERERERZGJaJiIiIiIiIsjAsExEREREREWVhWCYiIiIiIiLKwrBMRERERERElIVhmYiIiIiIiCgLwzIRERERERFRFoZlIiIiIiIioiwMy0RERERERERZGJaJiIiIiIiIsjAsExEREREREWVhWCYiIiIiIiLKwrBMRERERERElIVhmYiIiIiIiCgLwzIRERERERFRFoZlIiIiIiIioiwMy0RERERERERZGJaJiIiIiIiIsjAsExEREREREWVhWCYiIiIiIiLKwrBMRERERERElIVhmYiIiIiIiCgLwzIRERERERFRFoZlIiIiIiIioiwMy0RERERERERZGJaJiIiIiIiIsjAsExEREREREWVhWCYiIiIiIiLKwrBMRERERERElIVhmYiIiIiIiCgLwzIRERERERFRFoZlIiIiIiIioiwMy0RERERERERZGJaJiIiIiIiIsjAsExEREREREWVhWCYiIiIiIiLKwrBMRERERERElIVhmYiIiIiIiCgLwzIRERERERFRFoZlIiIiIiIioiwMy0RERERERERZGJaJiIgIALB+/Xqcf/75KC0thdfrxVlnnYWHHnoIsVisQ/v74IMPMGvWLFRUVMDlcmHs2LG45ZZbcPTo0S4+ciIioq7HsExERES47bbbMHv2bLzzzjs499xzceGFF2Lfvn1YvHgxpk+fjlAo1K79vfTSS5gyZQpeeukljB49Gpdffjk0TcOqVaswYcIEfPbZZ930ToiIiLoGwzIREdEAt3HjRqxcuRI+nw/vvfceXn/9dbz88svYvXs3xo8fj61bt+Kee+5p8/4OHjyIefPmIR6P48knn8T777+PdevW4dNPP8V1112HI0eOYO7cuZBSduO7IiIi6hxbbx8AERER9a4HHngAALBkyRKcffbZyeXl5eV44okncN5552HVqlW45557UFxc3Or+HnnkEQSDQVxwwQVYsGBBcrmu61i9ejU2bdqE7du344033sC3vvWtrn9D1CamlIgbQCQGROMS0XjqfswAYnEgZiTuG0A8sdwwgbiZuDUkDBMwTcCUapkp1T8pZeJW/QMS99OOQQAQInFfqH+aAIQQ0BL3tcRyXUv/J1L3dcCuAbouYNMAmw7EIjqKfAbsNvXYrgM2XcCeuG+3CThs6r6uqdcjIsrGsExERDSAHThwANu3bwcAzJ07N2f9tGnTUFlZiaqqKmzevBnXXHNNq/vcsGFDs/vz+Xy47LLLsGbNGrzyyisMy10gbkgEI0AoKhGKqttwLPU4nHgcieXedpauCdgSgVMTgKalAq6mCdgTbRiFUMHYug+kAjSQCNCJIG2agGlKGDIVvDMDuQroLTEMG3S9bX3thQDseiI82wBHIkg7rPt64r5dJJc5ballThvgTKxz2tXPhIgKA8MyERHRALZr1y4AQFlZGcaOHZt3m0mTJqGqqgq7du1qNSwHAoFkf+RJkyY1u781a9YkX5syGaYKv8GIRFNE3c+8TYXjYETV/rZGCMBlF3DaAbdDoMQLOO1aTuizgqLdlqqBtWfVzKaH496qkbVqrVXttrqNJWq54wZQV18Pl7s4WTMeN9JqyeNALJ6qMY/GU7Xp0bi6uNAQVPcNs5VUnoeuqZ+zwwY4bQIOOzICtcOm1jvTf+72VAC3trPrrPEm6m0My0RERAPYnj17AACjRo1qdpvKysqMbVuyd+/e5P3m9tme/RUKU0qEo0BjWKIpAjSFpboflmi0gnFYheFQtOXwq2sCHifgcQiU+QC3Q4PHqUKw2yHgcqh1Loe1rPCClxACeqJptiP5bTb1/ryahL+480PzGKZMhGkVqCMxFbYjyWbrqfWRmEQkEcQjiSbtkbhEQ0jdtjd3C5G6eOG0pQK4Patm22FDovY7Fcbt6TXjiYsfNjY3J2o3hmUiIqIBLBAIAAC8Xm+z2/h8PgBAQ0NDm/fX0j7bsr9IJIJIJJKxzOl0wul0tnoMPSkaT4VcKwA3JsJwU0SiMZy639J4Zk67CsDlRQJelwq/XqeA1yngcanw63UKeF2FF3z7Ml1TFxvcDiA9jHdE3MjsFx5JC9v5liUDeEzVitcHrdDe/tpuIKu5eVqrAZvecisCa53VH9yWWJ/+WNdSj62+5PwdpULAsExERAVNyvbX6FDve/DBB7Fs2bKMZYsXL8add97Zqf2GohKNgVrYbYCM5v8yHzOAUBQIRoX6FwFCafeb0u7HjOYDga4BHoeExylR5pHwOgCPUz1O3ndIeBwqZLTKAMJNQLiD730gCTTU9vYhNEsH4BaA2w7A3v7nm1I1K4/G1e9fNA5EDXVfDcqWup9cnmyKrraPm0AwJBA3U9t39eD0uiZVcE60ANCSg7PJZL92qzm/upWZfd6z+8ALmRzszbqNRsJwu+uTj0XaNgJqO1jbI89gchnLZEa/+vSsn93nPv2vPvn85H9pj5G5n3Qi507Wfpv7wTa7v+6dXaArrn3UBCSiPoGamrb/4tfW5v4tl5WVdf5g2ohhmYiIOiy932DmP5nsR2gNzBNPDMqTb9ucZYYa3Cd7uWnK5Ci8Zp59pB+LmXYcg4oELjvX0ds/rj6pqKgIANDU1NTsNo2NjQAAv9/f5v1Z+8w3enZb9rd06VLccccdGcu6omb5w71xHA0bqK4pgpRp/YKjSPYFjsZb/tLpSdT4DvIDPpeAz6VqfL3OxH0n4HUJuOysXetN/uKe+0JdCAxTpoVt9dkZt0ZCT+v7HTfU57m6TfQZN2TaCOnWaOlZn+1G6vM6JgHTyPp8ly23vsh7zIYNut6WK03UF8QMYPKJOq4v87TreT0ZjrMxLPeQv35pYMceHcJu4Gi9VIM9JEdQTA32wP4kRJ0npUxdX02bpqS5kVczn5tal3aTsT4YBfSwzFifse/EPjKnSpGp+2nrm7ufPt2KlIAJCWmmlpsy635yuhb1ZcMw1TojY50Km6aZuTwVMmVWAM0ceTYzhAJGL9TYZkwXo6XXVqgmg7qeWVOhaxpMU8Lt4Odqc8aMGQMAqKqqanYba521bUtGjx6dvL9v3z6MHz++Q/vrribXa7dG8d6ndui2OPREl1ZNqADscaqBr7xOTTV/TjSF9rgAn1PA6xLwONQoz0SFRtcEdAfgAtDZJucdZSbKFTOrjEqVezKjTAs01MPjK84sF81EmZldjqaV79b97LIXabemlBmP07e35PsukbM+407ma6Vr9jpBvv1lb9K9lcpdJhAyMaq882MJ9CSG5R7y//bE8d4XNpgwYNeNZrfTtNQgDslbe2rUxOR9u7pinR64rWU2nYU45TKlhJF2FVjV+snUfJlG8zV/yXk0ZXpQSoWr7PCVDGVpQc4qqKxCz5oeREJmhL5kIWW2XJCZycJLJguqniosDMMJXY+0vmE/opq1ZQbRZNM4TV3QywmpQuRMG5Oc/1RPNL2z+q+JtOVa+rrUfm1p4deWNxR37LOtKaxqCym/iRMnAgCqq6uxZ8+evCNi79ixAwAy5mBujt/vx7hx4/DZZ59hx44decNye/bX1a441wG3aERFuRvlfhWQWQNM1DdoQkBrsaI48+/UI7pmIDfqGUfrTRR7+tf5YljuIZdNdiAUrEeTUQSvS2QO5pAYLTESS42kGIkB4ZgazCESN9sVAnQtPUSnBe6sWmxncrqC9FEWrVEXeeW8u1nhNZbWxCnV3AmZ013EZbJfUbyZ5lHpzaFiRlYwNnu+BlDTAF2IZN8iq99R8rFIBTTVoiLRtyjx3Oy+RkDqVmQ8Fskvuen9hkTWtunLLBn9jPKtT1uZ3rcoGo7C5XJkrrP6QyV2lL4seaxpfaas9fn6UWX0t0q86eyfXfJnlPjZ6UJAZPX1Emn9wbRkuE09zl5HA9PIkSMxefJkbN++HWvXrsXdd9+dsX7r1q2oqqqC0+nExRdf3KZ9XnnllfjpT3+KtWvX4rvf/W7GusbGRmzatAkAMHPmzK55E+3wlTE6/vGFibIyDUVu/t4TEVHzGJZ7SIlXYHCRhF9oqChp3xUVKVVossJ0OCNcpwXsaGoURRXAVf+r2iYgEuv4PIF2XQVru56askCNjAg4EqMq2pIjJoq0+6nREnUtbbREPbPmqre+qKc35cnuP2maqaBpmkDMTM3dmOyPkzafYyyt/05T0AbNFksF2ERotQKu1R/IMLuuGtT6OVtTQ9h0dSEk9VhL/txtzZwLmwboem4tX3az11TIGrjBq6E+AH9xB0ZlIeqj7rrrLlx55ZVYsWIFLrroomSNb3V1NRYuXAgAWLRoUUb/4w0bNmDp0qUYMWIEtmzZkrG/2267DY8//jjeeustPPXUU7jxxhsBAIZhYOHChairq8PkyZPxzW9+s4feIRERUfsxLPcDQljz5qHDV8FNqYJaduCOxjLnDozEgWhMImqo7WIGEtuo6S/U6ItdX0WZ3gQ0vWYtvYYtvZYuvUYwu89oetPd9H6f1v3u7mdpGDp03cgJsHabmn7CWmZPBNj0iwzZUzbY81yEyN6e0zMQUWddccUVuPXWW/Hoo49iypQpmDFjBrxeL7Zs2YK6ujpMnToVy5cvz3hOfX09PvnkE4TDuWMzDx8+HM8++yyuueYaLFiwAE8//TTGjBmD7du344svvkBFRQXWrl3Lzy4iIurTGJYHCK0LArdFylRz4Wg8NUJicvTExJQEsXiqtjVfv9jsWt30mt70gJvejzXfQApA/jCdmkYguwmrgKalakXTa0Sz+0lqWqqmNlU7nqjJ1RPBN62W1qYDocZalJaW8ksgEfUrK1euxNSpU/H4449j27ZtiMViOPHEE7FkyRLcfvvtcDjaN5r4rFmzcMIJJ+CBBx7An//8Z+zatQvDhg3DzTffjHvuuQcVFRXd9E6IiIi6hpCyv4yf1v+98ucjiIiSdjfDpv6lob6G01UUOJ7j/sUa4OuSSXZ4nW27iFVTU9OrU1VQ9wlFJV54+wjKBpWxz3IB4+f0wMDz3L9YA3xdNLHtXdl6uzzuE6lt/fr1OP/881FaWgqv14uzzjoLDz30EGKxWIf298EHH2DWrFmoqKiAy+XC2LFjccstt+Do0aNdfORERERERERUiHo9LN92222YPXs23nnnHZx77rm48MILsW/fPixevBjTp09HKBRq1/5eeuklTJkyBS+99BJGjx6Nyy+/HJqmYdWqVZgwYQI+++yzbnonREREREREVCh6NSxv3LgRK1euhM/nw3vvvYfXX38dL7/8Mnbv3o3x48dj69atuOeee9q8v4MHD2LevHmIx+N48skn8f7772PdunX49NNPcd111+HIkSOYO3cu2PKciIiIiIiIWtKrYfmBBx4AACxZsiQ5TQUAlJeX44knngAArFq1CvX19W3a3yOPPIJgMIgLLrgACxYsSC7XdR2rV69GcXExtm/fjjfeeKML3wUREREREREVml4LywcOHMD27dsBAHPnzs1ZP23aNFRWViISiWDz5s1t2ueGDRua3Z/P58Nll10GAHjllVc6ethEREREREQ0APRaWN61axcAoKysDGPHjs27zaRJkzK2bUkgEEj2R7ae15n9ERERERER0cDVa2F5z549AIBRo0Y1u01lZWXGti3Zu3dv8n5z+2zP/oiIiIiIiGjgsvXWCwcCAQCA1+ttdhufzwcAaGhoaPP+WtpnW/cXiUQQiUQyljmdTjidzlaPg4iIiIiIiPq/XgvLfdmDDz6IZcuWZSxbvHgx7rzzzk7tN9BQi6gw4Ra9PmMXdaNAQ21vHwJ1M57j/iUYlghFgZoaOyJO0abn1NbmP8dlZWVdeWhERETUh/VaWC4qKgIANDU1NbtNY2MjAMDv97d5f9Y+i4uLO7y/pUuX4o477shY1hU1y0X+GCKiBP5ihuVC5y/mF+pCx3Pcf+hOCT0ClJXZ4W1jWAYYjImIiAa6XgvLY8aMAQBUVVU1u421ztq2JaNHj07e37dvH8aPH9/h/bHJNRERERER0cDWa1WcEydOBABUV1c3O+DWjh07ACBjDubm+P1+jBs3LuN5ndkfERERERERDVy9FpZHjhyJyZMnAwDWrl2bs37r1q2oqqqC0+nExRdf3KZ9Xnnllc3ur7GxEZs2bQIAzJw5s6OHTURERERERANAr3aeveuuuwAAK1aswM6dO5PLq6ursXDhQgDAokWLMvofb9iwAaeeeipmzJiRs7/bbrsNHo8Hb731Fp566qnkcsMwsHDhQtTV1WHy5Mn45je/2V1viYiIiIiIiApAr4blK664ArfeeisaGxsxZcoUXHTRRbj66qsxbtw4fPTRR5g6dSqWL1+e8Zz6+np88skn+Pzzz3P2N3z4cDz77LPQdR0LFizAlClTMGfOHJx88slYs2YNKioqsHbtWgjR9gFeiIiIiIiIaODp9WGZV65ciXXr1uFrX/satm3bhs2bN2PkyJFYsWIF3n77bbjd7nbtb9asWXjvvfcwc+ZMfPHFF9iwYQMMw8DNN9+MDz/8MNmvmYiIiIiIiKg5Qkope/sgBopX/nwEEVGCipJev0ZB3aihvobTChU4nuP+pSksEYwAl0xq+9RRNTU1nDqqQIWiEi+8fQRlg8pQ5GZLs0LFz+mBgee5fzlab6LYo+GiifY2P6e3y2OmNiIiIiIiIqIsDMtEREREREREWRiWiYiIiIiIiLIwLBMRERERERFlYVgmIiIiIiIiysKwTERERERERJSFYZmIiIiIiIgoC8MyERERERERURaGZSIiIiIiIqIsDMtEREREREREWRiWiYiIiIiIiLIwLBMRERERERFlYVgmIiIiIiIiysKwTERERERERJSFYZmIiIiIiIgoC8MyERERERERURaGZSIiIiIiIqIsDMtEREREREREWRiWiYiIiIiIiLIwLBMRERERERFlYVgmIiIiIiIiysKwTERERERERJSFYZmIiIiIiIgoC8MyERERERERURaGZSIiIiIiIqIsDMtEREREREREWRiWiYiIiIiIiLIwLBMRERERERFlYVgmIiIiIiIiysKwTERERERERJSFYZmIiIiIiIgoC8MyERERERERURaGZSIiIiIiIqIsDMtEREREREREWRiWiYiIiIiIiLIwLBMRERERERFlYVgmIiIiIiIiysKwTERERERERJSFYZmIiGiACwQCuOuuu3DKKafA7XajvLwc3/72t/H222+3e1/BYBD/9V//hUWLFuGss85CUVERHA4HKisrMWfOHLzzzjvd8A6IiPqPaFziSJ2JvUdN7D1iYH+1ieMNJgIhiUhMQkrZ24dICbbePgAiIiLqPUePHsV5552HTz/9FMOGDcOll16KI0eO4LXXXsNrr72GlStX4pZbbmnz/tauXYsbb7wRADB69GjMmDEDNpsNH374IdatW4cXX3wRy5cvx913391db4mIqM8xpUQgBNQ1SmgaUO4XOGuMDlMC9U0mahslQlEgEJKIxgEBCQjApgNOG2C3CThsgMMG6Jro7bczYDAsExERDWALFizAp59+ihkzZuC3v/0tPB4PAGDz5s247LLLcNttt+Eb3/gGJkyY0Kb92e123HDDDVi0aBEmTpyYXC6lxH/8x3/gBz/4AX74wx9i2rRp+MY3vtEt74mIqK+IxSWOB1QQLnYLnF6poXKQjiHFAjbdCr06pJSIxIBgVCIYAUJRiVBUoj4o0RBUz2+ISkTigGlKCAASKkzbdcBuA2yaSNyq5UIwVHcWwzIREdEA9be//Q2vvvoqdF3H008/nQzKAHDxxRdj/vz5ePrpp/Hggw/i+eefb9M+582bh3nz5uUsF0LgjjvuwObNm7FlyxasWbOGYZmIClbMkDhWLxGLA8NKNZw4VMOwUg0+V/4AK4SAywG4HAJlvtz10bgKzOGYCtXhqLoNhE0EQipcxwx1GzeAuAFIqFANAFIAugboidpqTQCaBmhCpN0HROKfJgCB1GORfDywAjjDMhER0QC1YcMGAMDUqVMxevTonPVz587F008/jU2bNiEWi8Fut3f6NSdOnIgtW7agqqqq0/si6i9MKQdk0BiI4obEsQYVZIeWaDhtpIaRgzTY9c6de0eiGXYxsvejA1C1zTEDiMRUsI7GgUhcBeeYoWq4Q4mAHU5sY5iAKVWwNhM11hJqmUz7Z0LdQqoAbhFCLRcAHHbA7RBw2gGnXYXwQsCwTERENEDt2rULADBp0qS8663lTU1N2L17N04//fROv+bu3bsBAMOGDev0voh6i2laYUSFkGhcBRIrOABIRgqR+M80AbtNosQr4HUyOBcaw1QhORwFhpYInDpCR2V550NyW2magFNTQRU5gTo/KVOB2TDVP9O0wrKEKdV901S/z9ZtMkhDhe5ASKKmMdVkPBxTz9c1wO1QIdrl6L733p0YlomIiAaoPXv2AABGjRqVd73f74ff70dDQwP27NnT6bD80Ucf4Xe/+x0A4KqrrurUvoi6k5SqRi4SV2EglgjGMhEWNA1w6Kq2z+sUGFYqUOwRcDsEHDaR0ZzVasoaikrsO27iUK2J4/WA26mCs9PO0NyfxQ3VJzkcBYYUC5w7Tseocg0OW98/r0II2PRm17Z7fzFDoikMNEUkGkMSNU0mjjdINIUljgeAWBwo9rS+n76EYZmIiGiACgQCAACv19vsNj6fDw0NDWhoaOjUazU2NmLu3LmIx+P41re+hUsvvbTF7SORCCKRSMYyp9MJp9PZqeMgsphS1QhH05qtxuKpGmG7DjjsAg5doMQv4PcAPpeWqimzC7gdaFfYHTtEQ11Q4kidxBdH1HRBMUPC7wGKPYKjHPcjMUPieKK5dUWJwFfHqZrk/hCSu4tdFyjxAiXe1MBlpikRjAINQYlAWMLebDjvmxiWiYiI+qE777wTv/3tb9v9vF/84heYNm1aNxxR82KxGGbNmoWPP/4YJ5xwAtasWdPqcx588EEsW7YsY9nixYtx5513dupYQlGJxkAt7DZARgful9pCF2ioBaCaxqowrMJNNA4Yhhr2SAgkpuIRcNqAEreA3y8STUYFXDbA5RRw2fNM1WMCZgRoigBNHTi+IW5g0CiJ6kaJw7Umvjxm4uBhCV0HSj0CnmYGgepPpJQwDCBuqosQcTPVf1YTqrmww6b6uNo62FTZOs89KRaXqA6o1gZDijWcNlzD8DIVkhs7d02xoLkAuFzqfk1N259XW5t7jsvKyrrmoNqAYZmIiPotM9FUMpboLxg31AAnMQMwDQkIAQlgkE90oEFZ33bw4EF88skn7X5eY2Nj8n5RUREA1Se5te39fn+7XwsA4vE45syZg9///vcYPXo03n77bQwePLjV5y1duhR33HFHxrKuqFkORSV8RTEUFZehyF1ovxUDj5S5gxrF4kBDxEQ8UqKaSzuAIq+AxyFQ7AX8bi2jH6XHoQZO6o0+xIPLgVPHqJGND9eZ2HtMNdOuDgNeF1DqFbD3s5pKw1RhsjGi5ge22QGXS/2MvU4Br0udr7qgRCQKBGMS8Zhqqq7rKkS77CpE29sw/ZG/uGeCUygqUd2g+vGOHaHh5BFdM3AXta4nw3E2hmUiImo3KSXqmlRNgdepmiJ21xdNw1TN3CIxNbJnJIaMkXPsumr6ZbepL7+DXerLmMepwWlTTSTdDsDjLKwvNM899xyee+65Tu1jzJgx2LlzJ/bt25d3fXrz6zFjxrR7/4Zh4Nprr8Urr7yCyspK/OEPf8g76nY+bHJNQOqCmBWCo3GJaOJimFU7bNetGkqBQUWq73AsaMPQITa4nSokuxzo06HG5RAYM0TH6MGqmfbBGhNfHDFxqE5CStW3ucjdt0cYtuYTjsSA8iKBiWN0DCpS5yVf8LWa5wYjEsGIRFMEqA+aqG1U8wwHQuriByChaYDLrj7PXXb06MWNxrAK/zYNqCzXMG6ojmGlosO14dS/MCwXOMNUo9OFY+rqntXcxWHL06SIiKgVVkiua5LwewR8ToGGkMTROkBoEj4X4HWpvnzt3W80nqodCseAeFzVDGsakqG3olhDmVc1UbSWpTfl68tfhvuis88+G6+88gp27NiRd7213Ov14uSTT27Xvg3DwHXXXYcXX3wxGZTHjh3b6WOmwmFNdWM1zU22DImrEXgBNcSQ3QbYbQJ2HRjk01TfYbcGt12FTLdD1US67GpEYACoqdFRVtbPOkdCBcBSr0CpV8PJwyWO1kt8eczA/mqJvUcl3A6JMl/fGhQsHFN9d01TNUs+ZbjWpr67mibgcyFr3mEdUqrA3RRRobkpItEQMlEdAJrCEjVhiUgiRAcDJgZJEy5H6vttV1xQiMTUCM+BMOBxAKcM13BihY7BfpH8HaOBgWG5QEVi6upeLK6u7lUOEgiEEh84QZkY0VGVRHabqnHxODGgByUgouZJKVEfBGobJfxugUkn6jhxqA6PA2gIAbVNJo41mDhcK1EbkIjGU/Mwqi+6SI4QG42nfSE2Ve0QkLigZ1cjy44oEyj2avA4VLM9T6L2mlfyu9YVV1yBH/7wh3jnnXewb9++nFGx165dCwC49NJL2zXHsmmauP766/HCCy8kg/KJJ57YpcdO/VM4qi7iR+KArgF2Tf1d2xNNdD0uAb9b1QZbzXFdjlSN4kC60G/X1WfhiDINjeFUbfOxBhNRQ6LIBRR7RY9fJJRSIhQF6oNqBGiHHRhequGkYTqGl3X+eIRQ59zlEBhUZC1VFz6icTWyclNEBeeqQzoMm/r51Daq/ukSav4um6Z+x3QNsOnqd0dPW6ZrSIxaLmBKNYpzIKSCusMOlHgEThqmYfRgDWU+rXM/NOq3GJYLTGNYoiYgoQlgWKmGE4eq/hRWCI4Z6oMtGJUIRVR/kmP1Jmoa1dxwsbiEEGpONJ9LfVj15SY/RNS9TFMmwrBEkUvg7BN0nFihw+9JfS6okS91jB2iwzAl6pokGsPqS3Eoqka/bAipz564VKG5zKeaFHqdWrJpnceJ5Bdkzj/aM8444wxcfvnlePXVV/G9730Pv/3tb+F2uwEAr732Gp599llomoalS5fmPPf666/H+++/j0WLFmHRokXJ5aZp4rvf/S7Wrl3LoNyDoolBhyIxCSFEMghYocBpF73WR9s01cW2+qAJu01gaLGGsRUafIkWIg67uuXFsOb5XAInD9cxbqiGYwE1KJjq3ywhTYmixGjagJoL15Cp+XINM3NfMnUtMyc86lrq89cwZXLuXcNULQAaw+pip8cBlBdpGFWuYVCRQHlRz9S4OmwCDp9AqU89Huy2oazMrkJ0JDVtUSgiEY5JhGJAOKoqkYzEQGPZ70skwrXHKTCsVMPIMg1lRaqcGkgXZyg/huUCYEr15bSuCfA6gZOGaRg7RMfQktwPLrsuYHcjs8Cs1BGNqxrnhpBEfZPEoTqJ+qCJo/WAEBIeZyI880ssUcGTUoXduiaJuAkUuwW+MkaF5NR0EPnpmuozmKoNSIkZqplebw2kQ/n953/+J/72t7/hrbfewoknnoj/n707D5OiutcH/p6q3nump2eYYQYYNkFBRRQFgxGVKyZx3xCvIhHirhH1aqIY488FjUa9XhfUa9Ro4hJQEbhEjOB6RaMiEDVXo6js2+xrz/RW5/fH6ep9Vmamp3vez/M001N1qrq6i+lT3zrnfM8xxxyDiooKvP/++5BS4uGHH8bEiRNTttu2bRu++eYbVFVVJSxftGgR/vznPwMAxowZg4ULF6Z93fHjx2PBggU9/4YGGJ9fBckSQFmBhmGDNIRCMjq+3xzrr26mGygp0Pps/H4gFJtap8AlcOgoC8oHaSjpo8AqF2maQGmBGpJy0HCJynqJXbUGtlUZ2FmjomBdqHmg1c2S2JzPQOynKRBMDR5lJCmEpsW3zqr5eEeVqMzPxfkaClz957vcZlHzWxe2MQuelDKWlTscy8wdimTrFgAK80RSl3AiBstZLRhSXZma/aqryBH7db+riM0iUOwRKI4kOz1MSjRGWpOqGw3sqjXQ4JPYGwAACQEJoQlYtFj3ynwHWPlRTjITzJiP+mYJYZNxXbuyu2tg2Ih1i25sUd0j8xwC+5WqnimlPXRxbdWF2ZOO+pHBgwfjs88+wz333IOlS5dixYoVcLvd+NnPfoZf/epXmDFjRpf2VxM3J8h7773XZrnjjjuOwXI3SRnp8dFkwG4RGFWiYUyZukneVutsdaOBf+0M44e9BmoaJQZ7Ra8NvfL5VZAszF5upRqGFPZdkD5QWHWBoUUCQ4s0HDJCorZZfeaWuOBWE6qeAhIDZQGVJzE6tVM4NrNA2IgEyrpKymWJ7Mtqyd68EEKISDLI6JJMHg5lESFlfGcM6k2vfbAXfuFFqXffxj1E7yJLoKRAYP8yHeWDercSMgyJ+hYVQPuDKhFPSyA2bsTnV63SFl1Nc+AeIHfm4rN0mlNW1NbWwJVXBMiEhL2QUJWWM9LV1Gnr/ZsLRiRJhhDqtaOPfhTYBSItHs1+9Tk54hK29HUAag5TaAmo8VjxJ9CiqwsQiy7ga1TnOBS5Gx8yVHe3SNHYZiI2Jipe/P8Ll10lOOmL7odSqs+5sUWN6zIJLZJNVhcozBMYWaKhzKsN6Gl1ampqMjpVBfWeloDE4nf2omhQ56eO8gfVdDHm37Nqtev830f8356USEpK17nWOXMf9T71ve5xCowaLDB6sI7ifNHpfeyqlfh6RxjbqwzYbUCJp2e6mkrzJnuTAZtFYHhxLIDPxM1E/g0PDDzPuS/T55gty1nCMCTqfGrMj8MKjCxRWfnKCvsmsYOmmdkZ069vCUjsrjWwtdLAnjoDFfUya+cHbEsgpAKoloC6UJEqUW90ygqbVX1Gg2waBhfrsFpFJLhSF1ihcCQJUr3KsFjdCISlhFVHdL5H+z4mLzGkRItfjSlqCUgAKuiUUo1fkgZgQF3USJkY2AGpvyNpnd2mejE4bF07RiPyeuY4qtaAOsZQSN2pdjsE9i8TgASqI1NG1DRJGIZK/WSLXFCa2VCtuvpcu9P9K2zIyPQjKjgORJ5LqYJhp03A69Kw/xCBfIfKOGqzqK7D5vP6Ois8BdboPsw5fgOhWFe2YBjRrpDBcOpnCaggu7pRXbyGwxLOyHAHl73ncgWEDdWlusGnjs1lA0oLNJR41Hk0M8jarLFssv2lWx1RpoXCEnvr1PeX1RI3FlQi+v0kob6PXPZYMipNCBiGyqTb0KK+69x29bdn1SOJkYJqXTAUGzNptuTZzO86i/p+qmtW3yNuGzCsSMPwSI+P+NwBnSGEShhVWiCwrcrAVzvC2Fop4XFKFOWLbn3vBMNq+FZji/r+Omi4yl9Q4ulcAE9E1J8xWO7nzIQdrQHA6xY4fLSqJAd18i5yX3HaBPYr1TF6sIbaZpWxcXOFSjwhhMSgfNFhy7eU6uIBMBNMmONueud9GobqbmpOVRM2YkkvJGLPQ2G1wGoFnFaBwR4NxfkqUUq6KStqaqwoKmrrT0tPaB1QQbOBqkaJphaJygb1OWgC0eyfKvlJavBkTq3QGjQDeBUcu2xAgUvDgcMEivI1eCItJ4ZMHJNkJv6IBrKRYFbK9AFzyAB2VBmoajTgD0m47er/pNmNL2yomwk+v/r/asTtJLll22kX2G+whsEFGgrzBLxx2TzNeRebW1WLc4NPoq5FojnSPbgxIKPTjIjIyCrzglX9HvucYssBKQAhVSuqLRJ4O6xq+IHXKVDgVmOV8p0Czg5uBuhabN7Ife3K5Q+q4RQ1TRI7a9T8kqr7ovqM85zdm4apqVVlrpZS7WNMaWycWb6TATFRR2qaDNQ1A+VFGiaM0OFxCoQNNe7RTHYUCqvvq+pGA9VN6jvd/B4HgHyHwH6RMZ4lntjfnplNuCWgbg76/BK+gPrOa2qNLA8AQZ+EVRcYPkhNxVPi0eDpgb9fi67q7GFFGn7YG8bXOw1sqZAoykOnxqEakVbk+mb1PovyBA4cpmF4ccd5DYiIsgmD5X4o2pWpWQVNpQUqq/Wwov4/3kcIlT2wKE/DuGHqjvz3e8PYUWWgot5AYV5iRR9t9WqRCIdVCyuQevfepGsqiDSD045arQ2p7tqbAbE/pMbjqGONTXBf6NZUBl6o7nUCkekENDWVRb5TtTLmO/d9bkMhkucV1GEYKoBuigSIdc3qJkmzXz0PhNR7EQA0XY0xAlRXPqdNoMyrWgq9bg2FbrX/1Iudff+/c9AwDdVNEnvrVBbOivpYBnUt0irriQRmhXkCdouaIzc+K6sW+UzbGisXP+9iadI6s6t7ayAyD29YRjN9xt8EkIglN4l1PY+1HNut6iZHf0g0ZbcKDCkUGFIIHFSuoalVtapXNRrYVWOgtlFl9LRaYq3ObX12ZibqBp9qxTpgqIbhg/RO3awiIqU1KLG31oDboWHq/hoOGKrH/c219XekR+uzplZ189NuBUoKNLjT/O0JEcn+bk+fDC8UVt9xgZAKlntrSITdKnBguQXDiyW+3xPGN7tU0FzsiSUCTR5upDILq27gBwzVMKJYx+CC3hv/TESUSQyW+5FASM0R1+xXldC4oRpGlegozdB4n31l1QXKB6kuX1WNEpsrwthSIbGlQsJpV62iMFu9Bqs774V5AroQqdMVGOrOe22zSkzii7TMhsOxlkUgdYywEKoV0WZRrYVDCgUKXCJu3tb+Mb+0pqlpdJIviAKhWKtDs18F0q1BCa9LTbmR51QBVF8l3NA0gRKPQIlHw/hhKqCvalRdyT0udUHnsvVeAKqyXSJns1UKEft/MLJEw2GjVPBbE7lBsbdetTqrOYwlrBYz6Bdo8KkbCYV5AkeOZQsPUVeFDTWFYiAEjCnTMWGE3qWEmbomUBA3fc++sOgCeTrQV0mI8hwqU/XIEolvd4fw/R4DlQ0ymkU5NgxGoMyrvp+GFGo5+11MRGRisJxhZlemukgrcolH4PDROoYW5U5yHSFiAdaBwyS2VoaxrUqixKNaRNO3erV9997srt3UqhKMGWm6EBtStRo6bSp4c2bp3K1mcNgfgx6LLlDqFSj1ZvpIclf8NEz7D1FTvDW2xFqvqhsN1DRL+FolBhdoGFumYWih1uUx5UQDmZTqhlS9DygtEJgwQsfIYq1fJULsK163wJFjrdhvsBoeZLPExmHbIz26svHmPRFRdzFYzpCWgGpFbo10ZRo/TMPISFemvsiKmyn5ToEJIyyYMKL7+xBCRBNilXh67tiI+jubJXkOYz06VjwT2cOJsp0aYyzhdQkcdYBKnMmbTUCxR4tOJUlENJAxWO5jTa0Svr0GHFY1FnnUYHZlIqLu0yNjvImoa/bUGvC4BA4dqWP8MD1nenMREVHPYbDch2y6SvYxOpIZc1CeGJDdvIiIiDJFjyT6GztEx4HDdBR7Oj8umYiIBhYGy33o8P0sKC62ZjyZFBER0UBlswgcfaAFw0otvGFNRETt4u3UPuSwcWoFIiKiTHPb2bOLiIg6xmCZiIiIiIiIKAmDZSIiIiIiIqIkDJaJiIiIiIiIkjBYJiIiIiIiIkrCYJmIiIiIiIgoCYNlIiIiIiIioiQMlvuI3+/HI488Ar/fn+lDoV7E85z7eI5zH89xbuP5zX08xwMDz3Pu6w/nWEgpZcZefQBpaGhAQUEB6uvr4fF4Mn041Et4nnMfz3Hu4znObTy/uY/neGDgec59/eEcs2WZiIiIiIiIKAmDZSIiIiIiIqIkDJaJiIiIiIiIkjBY7iN2ux233XYb7HZ7pg+FehHPc+7jOc59PMe5jec39/EcDww8z7mvP5xjJvgiIiIiIiIiSsKWZSIiIiIiIqIkDJaJiIiIiIiIkjBY7gOvvPIKpk+fjsLCQrjdbhx66KG47777EAwGM31o1IFgMIi3334bv/71rzFlyhR4vV5YrVaUlZXh9NNPx+uvv97u9m+99RZOPvlkFBcXw+l0Yvz48bjlllvQ1NTUR++AuuvGG2+EEAJCCNx1111tluM5zi6BQACPPPIIpk2bhqKiIjgcDpSXl+Okk07CkiVL0m7Dc5wbWBdnN9bHAxPr4tyVNfWxpF517bXXSgDSYrHIn/70p/Lss8+WXq9XApDTpk2TPp8v04dI7VizZo0EIAHIsrIyecopp8hzzz1XTpgwIbr8sssuk4ZhpGz74IMPSgBSCCGPPfZYOWvWLFlWViYByHHjxsnKysoMvCPqjA8//FBqmiaFEBKAXLhwYdpyPMfZZfv27fKggw6SAGRxcbE89dRT5b//+7/LH//4x9LlcsmZM2embMNznBtYF2c/1scDD+vi3JVN9TGD5V60bNkyCUDm5eXJ9evXR5dXVlbKQw45RAKQN9xwQwaPkDry9ttvy5kzZ8r//d//TVm3ePFiqeu6BCD/9Kc/JazbsGGDFEJIXdflqlWrosubm5vljBkzJIC0XwSUec3NzXL//feXw4YNk2eeeWabFTTPcXbx+Xxy/PjxEoC8/fbbZSAQSFjf3NwsN27cmLCM5zg3sC7ODayPBxbWxbkr2+pjBsu9aMqUKRKAvOuuu1LWffDBBxKAtNvtsq6uLgNHRz3h4osvlgDkjBkzEpbPmjVLApCXXHJJyjZbtmyRmqZJAPLrr7/uq0OlTrrmmmskAPn666/LuXPntllB8xxnl1tvvTXa8tRZPMe5gXXxwMD6OLewLs5d2VYfc8xyL9m5cyfWrVsHAJg9e3bK+mnTpmH48OHw+/1YtWpVXx8e9ZBJkyYBALZv3x5dFggEomOn0p37kSNH4uijjwYALFu2rA+Okjrrvffew6OPPooLL7wQJ598cpvleI6zSzAYxBNPPAEA+PWvf92pbXiOcwPr4oGD9XHuYF2cu7KxPmaw3Es2btwIACgqKsLo0aPTlpk8eXJCWco+mzZtAgAMGTIkuuzbb7+Fz+cDEDvHyXju+5+mpiZcdNFFKC0txUMPPdRuWZ7j7LJhwwZUVVVh6NChGDt2LL788kvccccduPzyy7FgwQK8/vrrMAwjYRue49zAunjgYH2cG1gX57ZsrI8tPb5HAgBs3rwZADBixIg2ywwfPjyhLGWXPXv24LnnngMAzJw5M7rcPJ9erxf5+flpt+W5739+9atfYfPmzVi2bBkKCwvbLctznF2++OILAEB5eTkWLFiA++67D1LK6Prf//73mDRpEpYvXx79zuY5zg2siwcG1se5g3VxbsvG+pgty72ksbERAOB2u9ssk5eXBwBoaGjok2OinhMKhTBnzhzU19fjkEMOweWXXx5dx3OffVavXo0nn3wS5513Hs4888wOy/McZ5fq6moA6o7z73//e1x11VX45ptvUF9fjzVr1uCAAw7Axo0bccopp0SnEeI5zg08j7mP9XHuYF2c+7KxPmawTNQNV1xxBd5++20MGjQIr776Kmw2W6YPibqpvr4eF198MUpKSvDoo49m+nCoF5h3rYPBIM4//3wsWrQIBxxwADweD0444QSsWbMGDocD//znP7F48eIMHy0RdQXr49zAunhgyMb6mMFyLzG7CTQ3N7dZxpxA2+Px9MkxUc+49tpr8cwzz6CwsDB6Fywez312ue6667Bjxw4sWrQIxcXFndqG5zi7xHfbim91Mo0YMQKnnHIKAOCtt95K2IbnOLvxPOY21se5g3XxwJCN9THHLPeSUaNGAUjMypjMXGeWpf7vhhtuwCOPPAKv14vVq1dHs2/GM89nXV0dGhsb046v4LnvP5YtWwaLxYLHH38cjz/+eMK6f/3rXwCAZ555Bm+99RbKysqwePFinuMss99++6V9nq7M7t27AfDvOFewLs5drI9zC+vigSEb62MGy73E/NKurq7G5s2b02bh/OyzzwAAhx9+eJ8eG3XPjTfeiAcffBAFBQVYvXp1mxn5xo0bB5fLBZ/Ph88++wz/9m//llKG575/CYVCeP/999tcv2XLFmzZsgUjR44EwHOcbQ4//HAIISClRFVVVTQRSLyqqioAsXFPPMe5gXVxbmJ9nJtYF+e+bKyP2Q27l5SXl2PKlCkAgJdeeill/dq1a7F9+3bY7fZ255Cj/mHBggW4//77UVBQgDVr1kTPbTo2my3ahSTdud+6dSs++ugjAMBZZ53VOwdMnVZXVwcpZdrH3LlzAQALFy6ElBJbtmwBwHOcbcrKyjBt2jQAsW5d8YLBYPQC7cgjjwTAc5wrWBfnHtbHuYl18cCQlfWxpF6zbNkyCUDm5eXJ9evXR5dXVVXJQw45RAKQN9xwQwaPkDrjlltukQCk1+uVn376aae2Wb9+vRRCSF3X5RtvvBFd3tzcLGfMmCEByJkzZ/bWIVMPmTt3rgQgFy5cmLKO5zi7vPXWWxKALCwslH//+9+jy4PBoJw/f74EIPPz8+WePXui63iOcwPr4tzB+nhgYl2cW7KtPmaw3MuuueYaCUBarVZ54oknypkzZ0qv1ysByKOPPlr6fL5MHyK1Y8WKFRKABCAnT54s586dm/aR7kLrwQcflACkEEJOnz5dnnvuuXLIkCESgBw3bpysrKzMwDuirmivgpaS5zjbLFy4UAKQFotF/vjHP5Znn322HDVqlAQgnU6n/Otf/5qyDc9xbmBdnP1YHw9crItzTzbVxwyW+8CSJUvkscceKz0ej3Q6nXLChAny3nvvlX6/P9OHRh149tlno5Vze4+RI0em3X7NmjXyxBNPlEVFRdJut8v9999f3nzzzbKhoaFv3wh1S0cVtJQ8x9nmzTfflCeddJIsKiqSVqtVDh8+XM6bN09+/fXXbW7Dc5wbWBdnN9bHAxfr4tyULfWxkDIy4RURERERERERAWCCLyIiIiIiIqIUDJaJiIiIiIiIkjBYJiIiIiIiIkrCYJmIiIiIiIgoCYNlIiIiIiIioiQMlomIiIiIiIiSMFgmIiIiIiIiSsJgmYiIiIiIiCgJg2UiIiIiIiKiJAyWiYiIiIiIiJIwWCYiIiIiIiJKwmCZiIiIiIiIKAmDZSIiIiIiIqIkDJaJiIiIiIiIkjBYJiIiIiIiIkrCYJmIiIiIiIgoCYNlIiIiIiIioiQMlomIiIiIiIiSMFgmIiIiIiIiSsJgmYiIiIiIiCgJg2UiIiIiIiKiJAyWiYiIiIiIiJIwWCYiIiIiIiJKwmCZiIiIiIiIKAmDZSIiIiIiIqIkDJaJiIiIiIiIkjBYJiIiIiIiIkrCYHmAuP322yGEaPNht9tRVFSEiRMn4vzzz8cLL7yAQCCQ6cPuN957772Uz+y5557r9v6++eYb/OlPf8KVV16Jww47DBaLJWX/W7Zs6bHjj7d161Zompb2/8Gnn37aY6/z3HPPpez/vffe65F9h0IhLFu2DPPnz8fkyZMxbNgwOJ1O2O12DBo0CBMnTsQ555yD+++/H+vXr++R16S2SSmxYsUK/OIXv8C4cePg9XrhcDhQXl6OI444ApdccgleeOEF1NfXZ/pQiTKKdfG+YV3cdayLc9f06dPb/T5p6zFq1KhMH3pWsWT6AKh/CAQCCAQCqK2txZdffonFixfjtttuw4oVKzBhwoRMH15O2bJlC8aPH5+x13/xxRchpUy77oUXXsCRRx7Zx0fUNc888wzuvPNObNu2Le36mpoa1NTU4Msvv8TSpUsBAGPHjsVXX30Fq9Xal4c6IHzxxRe46KKL0l4I7dy5Ezt37sSGDRvwzDPPYNmyZTjzzDP7/iCJsgTr4r7DunjfsC6mgYIty9SmH374Aaeeeip8Pl+mD4V60IsvvtjmuiVLliAUCvXh0XReS0sLZs2ahUsuuaTNyrkt3333HcLhcC8d2cC1du1aHHvssWwxIOpFrItzE+tiyhS3253pQ8gqbFkewGbOnIlzzjkHAODz+bBmzRosXrw4oczWrVuxbNkyXHDBBZk4xJzndrsxefJk7N69G99++22vv96GDRvw1Vdftbm+oqICq1evxsknn9zrx9IVhmHgggsuwLJly1LWlZSU4LTTTsOkSZNQUFCAxsZGbNu2DZ9++inWrl2LYDCYgSPOfRUVFZg5c2ZK1+pJkybhzDPPxMiRIxEOh/H9999j7dq1+OijjzJ0pET9G+vizGNd3Dmsi/uX//f//h8qKiraLfPCCy/g9ddfT1h24YUX9uZh5RwGywPYhAkTcN5550V/v+iiixAOh/HKK68klFu/fj0r6B7k9Xrx5JNPYurUqTj44IOh6zrmzZvXJxX0Cy+8kLJM0zQYhpFQpr9V0I8++mjayvnaa6/F3Xff3eZd0pqaGvzlL3/B/fff39uHOODcdNNNKZX0Aw88gBtuuCFt+b179yb8PyMihXVxZrAu7jrWxf3L8ccf3+76UCiEX//61wnLnE4nLr300t48rJzDbtiU4LjjjktZ1tramrKsrYQRLS0tuOeee3DEEUegoKAAQgg89NBDANQf7fLly3Hrrbfi5JNPxsEHH4yhQ4fC4XDA4XCgtLQUxxxzDBYsWIBvvvmmzWNsK8GHlBLPP/88ZsyYgUGDBsHhcGDs2LG4/vrrUVVV1e77DgQCePDBB3HEEUcgLy8PXq8XRx11FJ588skev8D3er247LLLMHHiROi63qP7bk84HE5prTjwwAPx05/+NGHZihUr0NjY2OH+Ghsbcdttt+Hggw+Gy+VCcXExjj/+eCxZsqRHj7upqQl33313yvLrrrsODz30ULvdiYqKivDLX/4SmzZtgt1uT1mf/P9o3rx5AIBVq1bh9NNPR1lZGXRdx2GHHZaybXNzM5544gmcfvrpGD58OFwuF5xOJ8rLy3Hqqadi0aJFaGpqavPYkhNztJVwozPl5s2bl/JeAKCyshI33ngjxo8fD5fLhaKiIpxwwgnR8WPdVVFRgZdeeilh2Zw5c9oMlAGgtLQUQ4YM2afXJRooWBezLmZdzLp4X7322mvYsWNHwrKf//znKCoq6tXXzTmSBoTbbrtNAkh43HbbbSnlbr755pRyDzzwQEq5Z599NqXciy++KMeNG5ey/L/+67+klFJWVlamrGvroeu6XLhwYdr38u6776aUf/jhh+WMGTPa3N+YMWPknj170u6vsrJSTpo0qc1tjznmGLlixYqU5c8++2x3T0eKuXPnpux/8+bNPbZ/KaV88803U17j1ltvlU899VTK8ueee67dfX333Xdy1KhRbX5m55xzjvzDH/6Qsvzdd9/t8nG//PLLKfspLi6WPp+vm59ETPJ+586dK+fPn5+y/NBDD03YbtWqVbKkpKTD/8fFxcVy5cqVaV/7uOOOSyg7cuTIbpdL9//n448/lsXFxW0e29y5c2U4HO7W55bu/8ynn34qw+Gw/Pzzz+Xy5cvlypUr5T/+8Y9uvwZRLmJdzLqYdXEq1sW9U08effTRKa/3z3/+s1deK5cxWB4gOqqgm5ub5cqVK6XH40ko43Q65e7du1P2l66Czs/PT/tF0J0K2nw8//zzKa+droJ2OBwd7uuCCy5I2Vc4HE77ZZL8KCsry/oK+uc//3nKa/zjH/+QlZWVUtf1hOUnnHBCm/tpamqSY8eO7dZn1p0K+pJLLknZz1VXXbUPn0RMZ/8Px1fQy5cvl5qmdfr/sBBCvvbaaymv3dsVdEFBQYfHdvPNN3frc7vooosS9mOz2eQTTzwhR4wYkfIaJSUl8u6775bBYLBbr0WUS1gXsy5mXZyKdXH36uL2rF+/PuV12vv/RG3jmOUB7I477sAdd9zR5vqCggK88MILKCsr69T+GhsboWkazj//fEyfPh2hUAgbNmxI6O7hcDgwdepUTJkyBSUlJSgqKoLVakVtbS3WrVuXkgHy9ttvx5w5czp87dbWVjidTvzyl7/EhAkT8MEHH+CZZ55JKPPKK6/g8ccfh8fjiS577rnn8OGHHyaUs1qtuPTSS3HkkUdiz549eOyxx7B9+/ZOfQb9lc/nSxlnNHbsWBx66KEAgGOPPRbvvvtudN0777yD3bt3p+02+/vf/x7fffddwjK3242rr74aBx10EH744Qc8+uij2LNnT48c+6ZNm1KWpZtSo7W1FcuXL29zP4MHD+5wfI/Z5W3SpEmYPXs2iouLsXnzZmzevBkAUF1djQsvvDClO+BPfvITzJw5E0IILF26FKtXr46uk1Ji3rx5OPbYYzFo0KB2X78n1dfX48gjj8SFF14Ih8OBFStWYOXKlQll7rvvPlx00UUYO3Zsl/adPKYvEAjgyiuvTFu2srISt9xyC1avXo033ngDTqeza2+EKMexLmZdzLo4EevifffII4+kLLv22mt7bP8DSqajdeob6e5md/SYP3++rK2tTbu/dHezAchly5a1eQzhcFi2tra2e5x33XVXyj6//fbbhDLp7mYDkG+++WZCucsuuyylzHvvvZdQZsqUKSllnn766YQyu3btSnuXM5vuZr/44osp+7/pppui6xctWpSyPl2XP8MwZGlpaUrZt956K6Hc559/nvaOb3fuZh900EEp+3njjTdSyu3evbvd/8/HHXdcyjbpyp1zzjkyFAqlPZY777wzpfy5556bUm7WrFkp5e68886EMr19N/tHP/qRDAQCCeXmzJmTUu7GG29M+7rtmTBhQpe/TwDISy65pMuvRZRLWBezLmZdfFzKNqyLu1cXt6WiokLa7faE/Y8dO5bDorqJCb6oTY8++igOO+wwbNmypVPlzzjjDJx55pltrtc0DVarFUuXLsXPf/5zTJw4EYWFhbBardFECL/97W9TtmsvwYjp2GOPTUmOke7O5d69e6PPGxoaUuaHLS8vjyaWMA0ZMgQXX3xxh8fQn6XLvGlOVQIAZ511VjQRhen5559P2earr75K+AwBYOrUqZgxY0bCsokTJ+L000/fl0OOklKmLEs+1p5itVrx2GOPtZns5W9/+1vKsttuu61Ty9Jt25sWLFgAq9WasCzd31d8K0ZnpUs0BABXXnkltm3bhurqajzxxBOw2WwJ6//4xz9GWwaIqHNYFyusi2NYF7Mubs+TTz4Jv9+fsGz+/PnQNIZ93cFu2ANY/NyOoVAIW7duxbPPPovvv/8+Wmbr1q2YPXt2p+ZIPeWUU9pdv2fPHpx22mn47LPPunScdXV1HZZJlzm0sLAwZVlLS0v0+ebNm1O68Bx66KFpv5wPP/zwThxp/1RRUYE1a9YkLBs5ciQmT54c/X3o0KE46qijEs7z559/jv/7v//DwQcfHF2W3OULAI444oi0r3v44Ye32xWrs4qLi1OWdTSvYHdNmTIFgwcPbnN98sWi2+3GQQcdlFLOzErq8/miy/piOpJ48efXNG7cOLjdbjQ3N0eXpTunHYnvPmk68MAD8dhjj0Uvnq644gr84x//wJNPPhktYxgG3njjDVx11VVdfk2iXMW6mHWxiXWxwrq4+0KhEP77v/87YZnH48EvfvGLHtn/QMRbDAOYObfjeeedhzlz5uCWW27Bxo0bU9Lh//3vf8cnn3zS4f5GjhzZ7vo5c+Z0uXIGkDBuqi3l5eUpy5Lv5AGJd0bTTclQUlKSdv/tfWn3d4sXL075DGfOnJlSLt2y5DvamfjMDjjggJRl69atS1lWVlYGqZIWpr0D3hkd/R+ur69P+L2t9w6kvv/kbZO1NS1KIBBod7u2tHVsycs7MzVJZ/Z93HHHpbQyTJ8+PaUcW5aJErEuZl3c0TLWxYlYF7ft1Vdfxc6dOxOW/eIXv0B+fn6P7H8gYrBMCfLz89Pelf7888873Da5y2W8TZs24e23305Ypmkafv7zn+Pxxx/HX/7yF/zlL3/BFVdc0fWDbuO1O+oelO6Lo7KyMm3Z3rp72hfSdft68MEHU+YCTDdH7ksvvZRQ2WXiM/vJT36Ssuzll1/udsXVnvb+DwMq0U68tt47kPr+k7dN/v8ZDAbT7qe7CW3aOrbk5d2pQM1kNPG8Xm+nlvX0XKlEuYh1MevieKyLE7EubltyYi9N0zB//vwe2fdAxWCZUqS7mK2pqdmnfX755Zcpy2644Qb8+c9/xpVXXhm9q56um09vGT16dMr4jc8//xzhcDilbPJ4qmzx7bffpr3z21nbt2/H+++/H/19zJgxKWXa+mx66jM7+eSTUzJX7t27F7fffnuP7L8rku+sNzc34+uvv04p9/XXXyd0+wKA/fffP+F3h8OR8HttbW3KXfgffvgBu3bt6taxpms5+te//pXQ7QtIf047cswxx6Qs27FjR6eWDRs2rMuvRzQQsS5mXWxiXZyIdXHbr/X3v/89Ydkpp5zSI/seyBgsU4LGxka8/vrrKcs7O2VFW9LdqXO73Qm/79ixI2F8Y2/zeDwp45927NiB5557LmHZ7t278eyzz/bZcfWkdHeyuyq++9fBBx+c0qXp448/Tmmp+OKLL1KmRuiu/Px8LFiwIGX5Pffcg9tuu61X7mq35aSTTkpZtnDhwpRld955Z4fbJv9N+f1+/O///m/Csttuu63bLbH33ntvSpe/u+++O6Vcuq7SHTnxxBNRWlqasOx//ud/Ei7kpZT485//nLJtR1OGEBHrYtbFqVgXx7AuTo/TRfUOJvgawP75z39i8eLFABKTimzbti2hnKZpKRkWu2r8+PEpy+699174fD4ceOCB+P777/H444/v813zrrr88stT7vpdeeWV2LBhA370ox9h9+7deOyxx9DQ0NCjr2t+7qZ04zhXrlyZMKZl9OjR+NGPftSl13nxxRcTftc0DX/84x9ht9vb3Oayyy5LGDuzdOlSPPbYY3A4HBBC4NJLL035oj/jjDNw9dVX4+CDD8b333+PRx99tEe72/7Hf/wH3n33XaxatSph+Z133olnn30WZ511Fg466CC4XC7U1NTg448/7rHXjnfVVVfh/vvvT/h8/vKXv6CmpgZnn312dG7HN998M2G7/Pz8lHmIf/SjH6VcDJ599tm45ZZbUFBQgKVLl+KNN97o9rF+8sknmDZtGi688ELY7fa0cztqmoZLL720y/u2WCz47W9/m9C1q6GhAT/60Y9w+eWXw+12Y+nSpfjggw8Stps+fToOO+ywbr0folzFuph1cTqsi9vGujhVRUUFlixZkrBswoQJ+/ydQQDnWR4gujO3o/m44oorUvaXbm7HjubtO+KIIzp8rUMOOaTDORTTze2Ybp7FzpQLhUJy6tSpHR6Xx+Pp1Gt2VnfOw9y5c7v0Gh9++GHKPqZPn97hdhdccEHKdi+//HJ0fWNjo9xvv/269Zl1Z25HU0NDgzzppJO6/f+4M3M7duYzXrp0qRRCdPp1hRDylVdeSdlPVVVV2jlDkx/JcyV2dm7HsrKyDve9L/M6hsNheeKJJ3b6cyguLpabNm3q9usR5QLWxayLAdbFybrzGbMuTnTHHXek7PcPf/jDPu+XOM8ydeCiiy5K262jO1588cWUrpvxLr74Ylx//fU98lqdpes6VqxYkTZhkWnixIl46qmn+vCoeka6bl/nnntuh9ulKxO/r7y8PPztb3/DiBEj2tzH8ccfj9/97nedPNLOyc/Px+uvv44HH3yw3cyX6Rx22GH7fNfWdPbZZ2PFihUpY7fSKSoqwmuvvZYwj6Zp0KBB+O///u825z20WCz4z//8T0ydOrVbx7l69WoMHTq0zfVz5szZp3OkaRqWL1+OCy64oMOyBx54IN577z2MHTu2269HNJCxLmZdnLwv1sWsi03BYDBluqiioiLMmTNnn/ZLCoNlirLb7Rg8eDB+/OMf44YbbsCGDRvwzDPPpJ32oTvGjRuHjRs34uqrr8aoUaNgtVpRXFyM448/HkuWLMHTTz/dI6/TVYMHD8Ynn3yC+++/H4cddhhcLhfy8/NxxBFH4IEHHsC6deuybrqKYDCIl19+OWGZrutpp6RI9rOf/SwlW+Qbb7yB6urq6O/7778/vvzyS/z2t7/FgQceCIfDAa/Xi2nTpuGpp57CmjVrUsbB9QQhBP7jP/4DW7duxfPPP49f/OIXOPjgg1FSUgKLxQKn04nBgwfjiCOOwOzZs/Hoo4/iX//6FzZu3NipoK6zTjvtNGzZsgWLFi3CKaecgmHDhsHhcMDhcGDo0KE46aST8PDDD2PLli0488wz29zP7Nmz8f777+O0007DoEGDYLVaUV5ejrlz52LDhg37dMF6yCGH4Msvv8SCBQswfvx4OJ1OeL1eHH/88Xj55Zfx/PPPp53HtCvsdjteeOEFfPDBB7jkkkuw//77Iy8vD3a7HcOGDcMZZ5yBP//5z/j8888T5ggloraxLmZdDLAu7gzWxcqrr76K3bt3Jyy77LLL4HQ692m/pAgpuzkJGhER9Qvz5s3Dn/70p4Rl/GonIiLqO6yLcxNblomIiIiIiIiSMFgmIiIiIiIiSsJgmYiIiIiIiCgJg2UiIiIiIiKiJAyWiYiIiIiIiJIwGzYRERERERFRErYsExERERERESVhsExERERERESUhMEyERERERERURIGy0RERERERERJGCwTERERERERJWGwTERERERERJSEwTIRERERERFREgbLREREREREREkYLBMRERERERElYbBMRERERERElITBMhEREREREVESBstERERERERESRgsExERERERESVhsExERERERESUhMEyERERERERURIGy0RERERERERJGCwTERERERERJWGwTERERERERJSEwTIRERERERFREgbLREREREREREn6RbD8yiuvYPr06SgsLITb7cahhx6K++67D8FgcJ/3vWrVKgghIITACSec0ANHS0RERERERLku48Hyddddh3PPPRcffvghjjzySJx44onYtm0bbrrpJhx//PFoaWnp9r5ra2tx6aWXQgjRg0dMREREREREuS6jwfLy5cvx8MMPIy8vD5988gnefPNNLF26FJs2bcIhhxyCtWvX4tZbb+32/ufPn4+9e/fiiiuu6MGjJiIiIiIiolyX0WD5d7/7HQBgwYIFOPzww6PLi4uL8fjjjwMAFi1ahPr6+i7ve9myZXjxxRdx/fXX48gjj+yZAyYiIiIiIqIBIWPB8s6dO7Fu3ToAwOzZs1PWT5s2DcOHD4ff78eqVau6tO+qqipcccUVGDduHO68884eOV4iIiIiIiIaODIWLG/cuBEAUFRUhNGjR6ctM3ny5ISynXXllVeiqqoKzzzzDBwOx74dKBEREREREQ04GQuWN2/eDAAYMWJEm2WGDx+eULYzFi9ejFdffRXz58/H0UcfvW8HSURERERERAOSJVMv3NjYCABwu91tlsnLywMANDQ0dGqfe/bswS9/+UuMGTMmOh66O/x+P/x+f8Iyu90Ou93e7X0SERERERFR9shYsNwbLrvsMtTW1mLp0qVwuVzd3s8999yDO+64I2HZTTfdhBtvvHGfjq+hoQEej2ef9kH9H89z7uM5zn1tneOioqIMHA31tPr6ehQUFGT6MKgX8RwPDDzPuS/T5zhjwXJ+fj4AoLm5uc0yTU1NANCpi9I//elPWLlyJa688kpMnz59n47t5ptvxvXXX5+wrKdalnmhNTDwPOc+nuPcx3Ocu8LhcKYPgXoZz/HAwPOc+zJ9jjMWLI8aNQoAsH379jbLmOvMsu1ZtmwZAGDdunUpwfKePXsAAOvXr4+uW7x4McrKytLui12uiYiIiIiIBraMBcuTJk0CAFRXV2Pz5s1pM2J/9tlnAJAwB3NHzG3Sqaurw/vvvw8AaG1t7crhEhERERER0QCSsWzY5eXlmDJlCgDgpZdeSlm/du1abN++HXa7HSeffHKH+1u+fDmklGkfzz77LABgxowZ0WWdaa0mIiIiIiKigSljwTIA/OY3vwEA3HvvvdiwYUN0eXV1Na666ioAwNVXX50wqHvZsmUYP348ZsyY0bcHS0RERERERANGRrNhn3nmmbjmmmvwyCOPYOrUqZgxYwbcbjfefvtt1NXV4eijj8bChQsTtqmvr8c333zDbtRERERERETUazLasgwADz/8MJYsWYKjjjoKH330EVatWoXy8nLce++9eOedd+B0OjN9iERERERERDTACCmlzPRBDBTfb6uCt7AIhW4BTROZPhzqJTU1NZxyJsfxHOc+nuPclu78SikRDAMh82Ek/q4JwKIDumb+FNA1wGlTz6l/4d/wwMDznPsyfY4z2g17oPnn9jCatgZRnK9hVImGwV4Br0tACFayREREfcEwJL7ZGYalJgR/UMIfAvxBiUAICBvmQyJsACEDkBKABCQAAUDT1MOiAZoQsFmAwjyBojyBPIeA26F+umxg/U5EFGEYErXNEkIARXkZ79zcaQyW+1DYAIJhoKrRwI5qAy47UOLRMKJYQ5lXg8fFSpWIiKg3+UPAv3aGEbaGYLeq1uHYQ8BqibUa65pqUTaDXiklDKnqcyMSWPtDEjuqJTbvVQG1RQPsNgG3HSjxCHhdGvKdKoDOc4A9y4howAiEJKobJSobDGyvMlDXLDG4QMNPDmWwTG2wW4BSr/oP4vNL7KkzsLXSQJ5DYFiRwIgSHaUFAnYrK1MiIqLeUuJRQWxXCCGgCxVEm9xI3EcoLNEaVHX8v3ZKhA0DmgDsVsBlFyh0C3jdkdZnu4DLJuCyAxad9T4RZT+fX6KyQWJPXRg7ayQaWiQMA3DZgbBUPXayCYPlDHLZVUUppURTK/D9XgObdhvw5gmMLtEwtEhDcT7HNxMREWULiy6QpwN5jljdbRgqgG4JSGyrkvhuj1quaeomut0q4LCqn7HfBXRdrXfaBJw29dNubb97tzn2OhDXvdwfVC3iNovqNm6zqP3YLD0/3jpsSLQE1HttDaiWd10DrLpqtbfpgNUiYNXV67OrOlH2a2qVqKg3sKvGwO5aicZW1d063wkMKRSwRm4GVtRnWaQMBsv9ghAC+U4g3ykQNiTqmiU2bA7jy+1hlBVoGFOmYWihBoeNFQoREVG20TTVeuyyJ9bjYcMMZoHGVok6n4x27zYi15QSqiu4Ci4FHDbA4xRw2oFQSLXShCLlg2EgGFL7DIUlgoZKTmaOuQZUN3GLroJXXVcBuMsG5DlVgG63AvZIUG2OzdY1VVYXgBDqeP0hCX8QaA2qGwHNrQYafOp9BENqfTCsypuvb4nuT91UsFsBt0MgPzLW22EFHFb13lw29rIj6s8aW1SAvKPGwJ46ieYWCV0HPC6BEcW509jHYLmf0TWBQfkCg/KB1oDE3noD26sNFLoFRg/WMLxYQ1Eek4IRERFlO10zW4wBoO163ZAqAA2EVIttvU8iLCMJxyIBrPnTDEQdNgGLrgJjLW7MdTgSQJuZvut9Bqob1XNDSkAISBkbr62LSFIzIaAJdZihcCxTOAQgpISmxVqtXXbA6xawWlJvDoTCiB5Da1B10dwWBqQRS6Jms8btxyVQ4NbgsgFuuwqqXTaO/SbKBLMFeUe1gd11Ek0tElYLUOBS8YuWg/EJg+V+zGETGFqkWpvrfRLrN4fx1Y4wygdp2K9Ux9DC3LlrQ0REROlpItLia0WXx1nHEyIWQDtiS9OWNQwVkMu4hGZG5HeXXURbp7vCTJwWd0SprytVy3ggqC7MqxslwuEwJAQ0DXBYAGdk7HdRvga3XXV5d9vVjQc2JhDF+IPqxhag/nbNCYMl1PeA09r2jScpJXwBoKlFdaveU2tgV60KkHWLupGVqwFyPAbLWUDX1JQURXlq0PzmCgObKwyMHqzhwHIdJZ7syShHRERE/Z+mCWTi6kITZndsIDmYDhtqHHRr0Bz7rZq21UW/gNsBFHsECpwagq0GdIdEnoPzYOcqKSUMQ3ZccIAwDJUDqaFFDenYW2egtkkiFFafUfInpWkCtkh+BTUcVIPTpnp91PkMVDWo/fkCaniIRYt0sR6c+wFyPAbLWcZMCtYSkPh+j4GdNQbGlukYN1Tn1FNERESUs3RNBcRuR+L1TjCkxk03tEhUNEgYhoHmxiCKdwfgsKoGh0EeDfmR6bvynQI2C6+Zsk1rQKK+RaLBJ1HbbKCiXqKuNogxI4IoztdQ4FKZ5gfKuQ2FVc/Tep/qgVFRb6ChRd1Qkohl4DdzHiXHt2FDTe1U1Sixqw4wIj04pEQkn4HKaVCYJwb0DScGy1nKaRMYOVigsUXi861hbKk0cOAwDWPKdDiZCIyIiIgGCKtFZdqO76JeZxOwu1TjwvZqie/3qlZom0UlEStwCdUK7RLRJGPsxt2/hMIS1U0SlfUqw3Jds0RLQCWu04WaiigYlvhml4GvDANWXY1rH5QvUFqgwRuZpi1XrosDIYnaZon6ZomqRnWzoLlV3SjSNPV55DsFSgrQhZbf3PhsehOD5SyX71R3SWubJT7eFMa3uw2MLNEwrEhDiWdg3wkiIiKigUkTIjLlVuw6SEbGQ7cGgcpGAztq1BhOi6byxOSZ3bhdmuqa6lAt2Z25ljIMNTbUH1RBjZkALRhJhhYMqwCvrFCg0M3hc20JhlUr6d46A9uqDNQ2q6RwDpvKkO5xi4Sx8japwVOgPs9gSKLZD+yoNvD9XgO6BrgjLaNDCmPBs9ueHdfG/qC6QVDXrFqNKxslmlrV56HrgNsOFOUza3xvY7CcA4RQXYy8Lol6H/DFlhD+b5u6Yzp6sI6yQgGvixm0iYiIaOAScYnSCuKGrgXDqutqfDduTahyTrtAnl1NnWXVEJkrWsCiqwSszX6J5si4zmAICEWC5rARS6akSBiGCr6HFWkYWaJjSOHA6TLcHp9fBciVDQa2VRuob1ZjZF0OYHBB5z8jq0XAa1GZ2AE1xr25Fdhbb2BrlRFpjVa9CYZEbloUuNRNkv6QMNcMjmub1Ww4lfXq/1fIUFPH5TkESgtSs8xT72KwnEM0TaAwDyjM01VXjSaJj74JwWVXX8z7D9FRWsAM2kREREQmqy5gdSZ24zYM1b21NShR2SBhSEQf0gyEI1N1WfVIEG0VcOkq4Ziupe8K29QqsaXCwPd7DBTmCew3WMOwQQNrWlDDUAmoqhsldtUaqKhTLaYSQL4TKPP2TECoawIeF6I5fcKGhM8PVDcZ2FUjIaG63nucAmWFGgrdAvlOFUz39k0Mw5BoiWR8r2uWqKgzUNGgulUHDcBmUV3KywpFl7POU89isJyjbBaBUq/642pqlfhhr4EtlQZGFKugeYiXQTMRERFROpqm5nl29XCX3TyHQJ5DtUrXNkms+yGM/4tMCzp6sI4yr2q1ziVSSjS2qCGD1Y0GdtcaqPNJtARUUJjvFBhe3PvXpbpmZn1Wr2NI1aOgyS/xxdYwDAnYdHXOvW6BUq8Gj1MgP5JUrjsBtGGo6Zd8/kgvBD9Q22Sgrlkt9wdUTwSrJdJyzOC432GwPACYX8wtAXU3c2ulgfJBGsYNVV2AOK6ZiIiIqO/omhouV+wBmlvVDCff7zVQVqBhTJmG8kFa1iamMgyJhhagsUUFx7tqJep9BnwBQIsk5vK6VVfoTNJE6g2RQEi1Pu+pM7C1UiWFs1vUmPaCyLzCHqeamUYTsemYzC73hgRaAqqFuKZZZar2B1QX65ABCEhYLGp6NKdNBeUMjvs3BssDiNMmMKJEoDUosbPGwPZqA4Py1Jd1kVtT2SAjCcMYQBMRERH1PrdDZeQOhFRwufMrA0V5AqMHayjK11RrqKP3W5x9ftUluN4nEZaRADASBJpBoa6p1mCbRUR+AhZdqGmdfBLVTbGxti0BAFLCFWm06VqW5sww35c57llKCX8IaA0AFQ0Gtlerz0WI2FRM8WPTzedCqO75DlukpTqPQXG2YrA8ADmsAuWD1Jdyg0/i290S4bABIQCHVa0flC8wKF9DfqT7SZ6Tf+REREREvcVmUa2thqGSPG3cHIIBAWdkvtwST+zazGlT12sOa/eSU0mpugHXRxJK7a41UNukglxDtrslhDndkFCZxC06EAippGZ6ZAojj8sMjrM787cQInJtDMRPs2TEf0gi8elAGXs+UDBYHsBsFtWqbDKkhD+ouo9srVJdgsxJzc1JyUs8GgqcqgU638kWaOo/fH41tcKuWjUWyKoLWCyAXVcZMm0WwG5VXafcdpU4w5FFXdxCYXVB0xeJR4iIKHM0zWy0UEFta+Ta7Pu9ak5hs9XSZhGw6rFpRPOdGhxWVdc5rKrrsMOqWn5bAhINLRJNLSq5VkW9RGOLhM+vWpEdVjVsz5vX+eF5hpQIhxHN1pxrY63bw7w/AweDZYpScxIiZU5CFUADO6sNbN6rxm84bYl3OQtcanqqbAo+KPu1BtQ0Hzuqw9hZoyp+TQBOu7rra0h1p9vMYGr2IzMDZ7ddXYx4XRo8LgGPS8Bl6193hZtaJXZWG/h+bxjVjRKDPRoOHqFjWNHAyZzaHWbPmYYW1TWwJSAxZayFPWSIKKuIuGuzojy1zJBqrt1ASH3XVTZI7KwFjHAYMtLMGQ2mLSppVUtABdwhQ3URNvdZ2IXgOJkmBDQLYO2pN0vUDzFYpnYJIeCwqTEXhYhlD/QHVUvepj0S/9ppQNNUS11xvkCZNzbxe7Ymp6D+K2yoC4NtVWFsr1KBkCZUl68RncimKaXKPKnm1DRQ2QCEDfV/2GVTiTtKver/rzcSQPd1D4qwoe76b6sKY2ulCvjcdqAoX6CiwUDFPw2MHaLh4HJLdEqMgUxKiaZWqLF2LRKV9QZqmmR03tOwIeFxajh0lLqAJCLKZpqIjRdO6AMcIeOC6WBYzQFttwp4mEyKqMsYLFOXxbdAD4osC4VVOvydNQZ+qDCga4A7csfSaVNdgczuQhZdjXHRNQFNU5kRNQ3QBaDrQIGT01pRqqZWlZhu814DFfUGQoaE161heHHXglkRd5HhibvIMOdfrG02sLtOzaNpj8y/OLRIQ3G+OQdj2/s2DHXXPhACgiGJQBgIhtTfR/IxAJELGkOVCYRU66c5xURNo2oZL3ALjB4ca0UeNkjA55f4v+0GdlYHMWGEjv1KtQHVNTtsqJskdZGxdnvqDDRGpiEBAFtk6EiJR33vNLeqc0tENBAIoVqUrdGr/IFTPxD1NAbL1CMsukCBCyiIm/i9qVVlDgwbka6wRqSwAISMZVYUQgXMIpIoojBPw+jBGkoLVOseu5oOXK0BiapGiR01YWyLtLC67EBJgYDd2rNJQ5LnXzTHiTW3mvMvhuGyAYVuDXYZgrsmqILcMBAMAsGwarEOhoFwWCJsqHFcYSPNZYqA+gMwp52IZNbUNfWw6sBgb9tjk112gdGDgZomiY/+FcLWCg0jB5sJ+dTYta7ccDK78VXUqxtdXrcGr0t9Hv3h78+IBMe1zRJVjQb21Eo0tqr5MTVNdSd0OwSKsyDTKhEREWUPBsvUK3QtMXhujyElZGRMaSgM1DUb+PBfBlx2YHCBhpElGsq8Gtz27l24G4YKelqDsdYli64CdIuujjV+KgTKHCnV3IzVjQb21BnYVSPR1CohoaZxGDVY9FkwFD9OrBjq/2lLpOW5qjoMT4ER7Rmhx/WQsOpq+IGuxf5/9dbxDcoX8LhUt+OdtbGM9nmO2JRwLruAPS7hi82itvUHVYC8u9bAjhoD9c0SRnT+CzV22+PSMKRQoChPg8epPgu7tfcDaLNbdXWjgeomiV01BhpbVMuxrgFuB1DoFrB7+0cwT0RERLmJwTJlnCYEIAAdqkXNHOfs80vsqjWwpcJAnlMgzw4U5gl43RpckZYkl11AStUyFoyMzTGf+/wSdS0qyU8gCPhDquXPnB9PN7t/a6qhz2pR+/O6AY9TiwZKLruatJ7jfHpW2FDBT7NfZeNs9gO7agxUNxrRoCjfKTBsUN+PGU5HEwJuh/p/5xQaPAX9YzoMqy4wtCiSTyByY8jnj00JB6geG9bIXJh2i2qZboj8bRgS8LiAoUUCFl29J/PGQEOLgT11gEQYjsjNJJdd3QQrcGvRrOL5TvV3si8CIYmaJonqRtXdvqbRgC+g/lbddtUdvdTL4JiIiIj6DoNl6rdUkCpgSInmVqDJL1HdJBEKGxBQ45vtVgFpqC6vwfiu3lAX2ebYVJtVIN+lxkwLofZpmFmSIz+DYaDeF0n4FMkoqWmAPZI5Oc+uxmB7IoGB26Fa8NganShsqARwZpbO+BsYwTAQCErU+iTqmyX8QQl/SJ0DiUgCEqfA4AIGRd2haSqYTQ5cQ2YX8ZC6adTkl7BZ0OaNiPgbA4Bq6Q2EAH9Q3dxQf4cqM74eSYyW7xQoLRAocMf+RqwWFagnn8uwIdHYAjS2qK71lQ0qIVdDi/q7tFvVjRJ2qyYiIqJMYrBM/Z4mEseSmoIhFWhpoutdXjUhoKXNipu4vWGo1/AHgeomA7tqVWAtATgsgNMuUOBSiYTM8aLBoEy345wQCquWS39QBcStwcjvARWANbVGpqYIqzG85vyL5qcqpYSmqSDKblXBWJF1YM3NmAkWXcCiq7G93Un0IoTZlTt1+1BY9RAwE6MZRmxqLvU3CTisQiXdsqox3JWNEi3+uIRckdbuIYXM1EpERET9B4NlylrWyPyBvUnTzHGrQHyQYLa0tQSAPXUGtlWqANqqA6HWIEYMDWKwR3VV9ThVsN8fuhJ3RlOrysrcGlDBcEtAoqlFor5FBcIqqZUKiM0hrkIgmuncqqvpxvJ01ZKvkrdlx3unrrPoqTezAiH19xE2Ylm+zYRnAoDLrqb6KmHLMREREfVjDJaJuiG+pc3rTgwSKqIBtIREJNi2Cwz2CBTna2q8p0vA0Y/moA4bEnvrJLZUhrGjWqI1qLrtalA3ASx6LAGayw4UWEQkSVr/eQ/Uf9gsIjL/J8ApS4iIiChbMVgm6kE2i4DHJaLJn8zph3x+iU17JP61U03N47ILFLoFygo15Nlj3WR1LXEOasAcz6tacSVkZJoh1fXcnG7IzMjc1e7MLQGVTOn73Qb21BswpMoyXOBmd1giIiIiGtgYLBP1ovjphwZFlgXDagqrvfUGtlcZqiuziJtnN5Kl25yK1yRlYrdnNT+1QCSZOGxWYEyphpElesr47niGoRI07aw28EOFgdomCYcNGFwgYLcyQCYiIiIiAhgsE/U5q55+Dur4DN1hIykwBlRAHSkrI0nG4lud/UGJTzaF8fUOA/uVaRhVoqEoT0THCze1qjl1t1QY2FtvwB8ECtzAyBIBLUvGUxMRERER9RUGy0T9RNsZujsn3ykwKF+i3gf8Y0sY3+4Ko3yQhmFFGvbWG9hRJVHfIuGwqvmqnf1ozDQRERERUX/DYJkohwgh4HWrpGPNrRLf7zHw7W4DugAK3AKjBgsm5SIiIiIi6gQGy0Q5yu0QcDsYGBMRERERdYeW6QMgIiIiIiIi6m8YLBMRERERERElYbBMRERERERElITBMhEREREREVESBstERERERERESRgsExERERERESVhsExERERERESUhMEyERERERERURIGy0RERERERERJGCwTERERERERJWGwTERERERERJSEwTIRERERERFREgbLREREREREREkYLBMREREA4JVXXsH06dNRWFgIt9uNQw89FPfddx+CwWC39rd+/XrMmjULpaWlcDgcGD16NObPn4+KiooePnIiIqKex2CZiIiIcN111+Hcc8/Fhx9+iCOPPBInnngitm3bhptuugnHH388WlpaurS/V199FVOnTsWrr76KkSNH4owzzoCmaVi0aBEmTpyI7777rpfeCRERUc9gsExERDTALV++HA8//DDy8vLwySef4M0338TSpUuxadMmHHLIIVi7di1uvfXWTu9v165dmDt3LkKhEJ588kl8+umnWLJkCb799lvMmTMHe/fuxezZsyGl7MV3RUREtG8YLBMREQ1wv/vd7wAACxYswOGHHx5dXlxcjMcffxwAsGjRItTX13dqfw899BB8Ph9OOOEEXHbZZdHluq7jiSeeQEFBAdatW4fVq1f34LsgIiLqWQyWiYiIBrCdO3di3bp1AIDZs2enrJ82bRqGDx8Ov9+PVatWdWqfy5Yta3N/eXl5OP300wEAr732WncPm4iIqNcxWCYiIhrANm7cCAAoKirC6NGj05aZPHlyQtn2NDY2Rscjm9vty/6IiIgyhcEyERHRALZ582YAwIgRI9osM3z48ISy7dmyZUv0eVv77Mr+iIiIMqVfBMs9NVXFxo0bcc8992DGjBkoLS2F1WpFYWEhjjnmGDz22GPdnvqCiIgoVzU2NgIA3G53m2Xy8vIAAA0NDZ3eX3v77Mz+/H4/GhoaEh5+v7/D1yciIuoplkwfwHXXXYeHH34YFosFxx9/PPLy8vDOO+/gpptuwsqVK7F69Wo4nc4O9xMKhaJJSfLy8jBlyhSUlpZix44d+Pvf/461a9fiz3/+M9588014vd5efldERES0L+655x7ccccdCctuuukm3Hjjjfu035aARFNjLawWQAbEPu2L+q/GhtpMHwL1AZ7n7NLUYEALaqipsXZ6m9ra1HNcVFTUk4fVrowGy/FTVbz//vvRYLeqqgrHH398dKqKBx54oFP7O+KII3DTTTfh9NNPh91ujy7/8ssv8bOf/Qyffvoprr/+evzxj3/slfdDRESUbfLz8wEAzc3NbZZpamoCAHg8nk7vz9xnQUFBt/Z388034/rrr09YZrfbE+r37mgJSOTlB5FfUIR8J4PlXOYp6LsLasocnufs0QoD+S4NRUWdD5aBvg2Ok2W0G3ZPTlVhsVjw2WefYdasWSkV6SGHHIL77rsPALB48WJ2xyYiIooYNWoUAGD79u1tljHXmWXbM3LkyOjzbdu2dXt/drsdHo8n4bGvgTIREVFXZCxY7o2pKtozadIkAEBLSwuqqqr2eX9ERES5wKwfq6ur20y49dlnnwFAwo3ttng8HowdOzZhu33ZHxERUaZkLFju6akqOrJp0yYAgM1my2hTPhERUX9SXl6OKVOmAABeeumllPVr167F9u3bYbfbcfLJJ3dqn2eddVab+2tqasLKlSsBAGeffXZ3D5uIiKjXZSxY7umpKtojpYx2wz711FPZjYuIiCjOb37zGwDAvffeiw0bNkSXV1dX46qrrgIAXH311Qnjj5ctW4bx48djxowZKfu77rrr4HK58NZbb+Gpp56KLg+Hw7jqqqtQV1eHKVOm4Kc//WlvvSUiIqJ9lrEEXz09VUV77rjjDvz9739HXl4e7r333g7L+/3+lOkpeiKpCBERUX905pln4pprrsEjjzyCqVOnYsaMGXC73Xj77bdRV1eHo48+GgsXLkzYpr6+Ht988w1aW1tT9jd06FA899xzOP/883HZZZfhmWeewahRo7Bu3Tr88MMPKC0txUsvvQQhmGCLiIj6r4xPHdXb/vznP+POO++Epmn44x//iP3337/DbXpruorGhloEhAGn6BfTW1Mv4TQGuY/nOLv4WiVaAkBNjRV+e+eCs3RTVQCZzcjZ2x5++GEcffTReOyxx/DRRx8hGAxizJgxWLBgAf7jP/4DNputS/ubNWsW9ttvP/zud7/DBx98gI0bN2LIkCH45S9/iVtvvRWlpaW99E6IiIh6RsaC5Z6eqiKdV155BRdddBEA4KmnnsKsWbM6tV1vTVeR7wnCL7zwFDBYznWcxiD38RxnD90uofuBoiIr3J0MloHcDozbcu655+Lcc8/tVNl58+Zh3rx57ZY54ogjsHTp0h44MiIior6XsWC5p6eqSPbaa69h9uzZMAwDTz75ZDRo7gx2uSYiIiIiIhrYMtbE2dNTVcRbvnw5zjvvPITDYTzxxBO49NJL9+1giYiIiIiIaEDJWLDcG1NVAMDKlStx7rnnIhQK4YknnsDll1/eY8dMREREREREA0NGB8/29FQVq1atwjnnnINQKIT//u//ZqBMRERERERE3ZLRbNg9OVVFRUUFzj77bAQCAZSXl+Ojjz7CRx99lPZ1H3jgARQXF/fa+yIiIiIiIqLslvGpo3pqqgqfzxedG3nHjh3405/+1GbZ22+/ncEyERHRAPTaJwF88K0VTlcQTpuAACBE7KELQAgBIQBNAwQALfJci5TRhPlcRJebZXQBiMhPLX595Kce97uuCehabJmumeU4/zQRUX+Q8WAZ6JmpKkaNGgUpZQ8fGREREeWSL7aG8UOlBt1iQO+nMzmKSKCta4BFjwXT6rmIBtbmOl0T0ecWzVyXuL0lssyiR8rogCWynbksul4HrHrshgAR0UDVL4LlgWDddyF88I0F+XlhBMJAcb6A08YKiIiIqC/deo4Di99pgLfQhTyngGEAEoj+lBIIG+qnhIRhAIZUvxsy6bkBGFLGlhtAOLo89jNsyOjv5vpwtIyMPo//GTYkQuH439UjGJYIh4GQEdtPyDDQG+0FQiQF1Dpg1QWscQG11RL/e+q66PNIIG6zxJW1ADYd0DReDxFR/8RguY98sTWML3boMBDGx5vCAIA8h8CgfIFij0CJR8Ngj3pus7DSICIi6g1m12erpTP1bfbUx4aMBdFhAwiFYwF3bJlEKLLOfJhlgpFyobCMrguGY9sEQ2pZICTh86t1wbC6mbCvNE0Fz2YgbYsE0vHBuAqs45br5jlEZFnkuQ7YLAL+oHpvOgNxItoHDJb7yC/+zQY9XIe9Pg/CBlDVKFHVILGrRmJrpQEgHC1b6BYoKVDB8+ACgcEFGgpc7ApFRERE6WlCQLMA1oSlvX/dYBixYNoMroORQDsYUoF3IBwLtNVPFWiH4soFzGA8DLQGJRpbzX12LxoPh+3QdX9CIB4NsPVYgG21ILKu7cDbbBG3xQXuFp1jy4kGAgbLfUTTBDxOwO7SUOqNDZIypESDD6hsMFDZIFFRL1HZYGDT7jC+3RXb3m5VgXNpJHgu86pWad4xJSIiokzRNAGbpoJJpWevS6SMBdUqoJaRYFsF3yrYVsG3uTwYkmhsCkCz2hCMlAmEVLmWgERDNLDft2Zxa1ILeCwIT/rdDLLTLE8I3BmIE/U7DJYzTBMCXjfgdevYf0hseTCsWp4rGyT21hmoqJfYWyexvSrWCq1rkQDaK1BWoKHUq35nAE1ERES5QIhIQGoBXHags8F4Q30jPAXWdssYMtbSHQjJaOt4NBAPxbqbm8F2MCQRiAvcgyHVGh4MSTQGY63m+9o9PSEQj3tuSxN8W6Njwdvosp4UjPM6kajzGCz3U1ZdYEihwJBCACN1ALFW6D11BvbWS+ypNbCnTmJ3bXwADZR4NJQVCgzxqhboYg8DaCIiIqJ4mhCR7tVAT7eIh41YsB3fAh6IBNjx68zu52Z3dLN1PL47e1NrrAV9HxvEo13T0wXSic8TA3NL8rq4gDy6TleZ1tkyTrmCwXIWiW+FHj9MLZNSfYHurjOwp1ZiT50KoPfUGfhHXAt0qVegzCswpFDDEK9AUb7gFxkR9RgpZTSjcELG4OTfZWp24bRZhqWENAADKsOwRPptZNx+VfbixKzGUgKtAQmLLnDq5PZbmYiIeoquCeg2wAGgpwNxw5CR4FoFz9EW8EgwHkrqsq6C8fhysUDcHEve3Gq2ovdMZnVLXGb0dJnSE6cpE3HL02Rg10RkqrPYMl0TsGix96lrzO3T22Qk83/YiM/0b2bxlwlZ/mPZ/oGwlNFtapokyosy/U66hsFylhNCIN8J5Dt1HBDpxi2lRGOLaoHeXadaoHfXSuyqibVA2ywqgB7iVa3QQwuZRIwo04xIhaIy1CZOH2P+HoosM4zE6WTMsvEVWbQSM2TCdDYJlVncNvFT5oSl+XtsypuEnzK+vCrTXxkGUJTP7zYiyg2aJuDQAIcV6I0x4mqKMjMjemJX81hStliStkBc2VB8EB+XVT0+i3qoB1rHTWYiNyB1zvHYQ0TnKTfnKNc19Tmac5ibPzUBCA3QhVDznWvmfOOJP80Om0KoMyAi5U0i8o+IlGn780b0Rm/sd/WbWa8acWXavGFsyOjNZbOOTq6z4+v7aCCbULe3Hwz3xE2UYBiYMkbf9x31IQbLOUgIAY8L8Lh0HDBULZNSot4H7K6NBdB76iS2V4Wi2zltca3PhQJlXg35Tl5gEgHqb8hMElPXLNAiDTXOzbyQCCVmejXv5JsXDiEjcTqW+LlSzelbeurioSs0oS4YzMpf0+IuGiIXDFYd0CxxFwpxFxXquQYRd7ERfzFhXnhoIvYayftIvAgRKRcl8fsTacojfh1St20NSATD/C4jIuqIELFW3ciSXnkdc7x4/BRlZnCdPIWZWha7cRyb/kyi2ReA1WaLTYMWfwM5Uj4YktHtEoPADFS6GRKrR0VKHR67USASbijEr9M1LaG8btbjkZsR0d/jtlXPRdz1BNDQIlE+SOv4gPsRBssDhIjrwn1guVpmSImaRondkXHPe2oltlVJbK6IBdB5jlgAbY6Ddtl50UnZx5ASgSDQGlTZUFuDKohqDappSloDgD8k4Q8C/qD5Uy0zA2Hzrmo4bIOuB7r0+ubd7li3NAG7JTa+S3U7S7wjbol0PVPPY3fIE++Yq0rIoomEiiq6LlIx6lpyEGwGnrn/99zcqlo0iIiof0gcLw50NyjvTCK39pg9umRSi6oR6VklZfrWXLPVN77FN9pCLAEJiYSGWNn2W9QiTdAJrdGI3RyOtV6n3gxOvsmsxQWtiTen+0ddX1FvoMDFYJmyhCZU8q9iD3DICHULMWyoDNy7zfHPtRI/7DXw3Z7Y3bd8p2p1LouMgy7zanA7+scfIQ0cobBESwDw+SWa/SoYMn+2BNQ69VMtaw12vguRVRewWwG7FXDbBYryALtVi1bsMuhHfr49Zd5NW1IiFJslNr6qv1RUREREpGhCQGuzVzDrbWKwTEl0zQyAAUB9ewTDEpX1kdbnOom99RLf7Qlj0+7YdnkOEZm6SkNZgUCpl2OgqeukVEFuU6tKNtLYKtHcqoLhZj+iz5taVetve4RQQwucNqA4X8Bh0+C0AQ6bgNOqfjriftqtgMOqguSOssc31IfhKeDXJxEREVEu49UedciqCwwtEhhaFOs2YQbQZubtvXUSmysMfB/XAm2zCJQWCJQUCJR4NAwuECjxCNgsDKAHokBIoqlVJZ9rbIk8j/ze3CrR2KIC4fbG7TqsAm4HUFog4HZocNlVy6/TJuC2Ay67gMuugmS7la25RERERNR9DJapW2IBNGC2QIcNiaoG1fJcUW9Efkpsr45l4QYAr1ugOF8F0IPyVQBdlCdgZRCdlaSU8IeAphaJhpZYMNwQCYgbWtS61nZagt12gTynwOACAbdDIN+hfuY5VK8FdyQItuj8P0JEREREfYPBMvUYcz7nUi9gBtDmNFYVDQYq6yUqGlSLdPI4aEAF0YPyBYrcAkX5GoryVBCd52B37kwxu0U3xgW+seeqNbixRbUap6NrAh4nMLhAIN+pIc8RmerMIZDvVA+XveNuz0REREREfY3BMvWq+GmsxpbFlocNidomiapG1Rpt/txSYeB7A4hvibbqAoV5Al63gNclUOACvHnmc8HWxm4yu0U3taqW3ya/RFOLGifc1BLrIh1uYwJdq67O7ZBCAY9Tiwa/Hieizx1W3uggIiIiouzEYJkyQtdimbgxLLbckBINPqC6yUBNowqoq5skapslNu020mYzdtnNIC0WqHmcqhuv2w64HQMjaDO7Q/siGaF9kSzQPr8Kin2RBFlNfpU8q63WYECN+c13CowsAfKdGvIdqpu0xwl4nOq53ZL7nykRERERDVwMlqlf0eLmgx5TmrgubKhAus4nUdesHg0tEg0+9bOiPn0wDaj5ZdW411gCKIctki3Zqn7arIDdoqb7sVtj8//pWt8EhWFDIhgCgmGVQC0QgpoXOKTmB/YHVTBszg/cElDTIbVEpkXyBSSMdpJjAWYCLIEhhUCeI9YtOs8h4h4cG0xERERExGCZsoauCRTmAYV56QM5Q6oW03qfjEw9JNEUN91Qc6uah7eqEQi1l3I5DasuoGtqLl1dAyyaSDvpuwAQDFhhtQXiJqaPm+w+Msl92ED0EQqrOYPb6O3cJnNqJIcV8LjUlF+uSGZoV1xmaJdNBcEcG0xERERE1HkMlilnaCKSPMrZcUAYDEu0BoAWs4U2oFpt/cFIi24o1pKrAloZCWqBkKG2D4VU8CslYBix56GwgNWiIl+zQVpABdmapn7aLAKaiATeOmCzaOqnDlgsKji3WQB7pJXbbrZ6R+YCdtpUqze7QRMRERER9Q4GyzQgWXUBaycD665qqG+GpyCvx/dLRERERER9R8v0ARARERERERH1NwyWiYiIiIiIiJIwWCYiIiIiIiJKwmCZiIiIiIiIKAmDZSIiIiIiIqIkDJaJiIiIiIiIkjBYJiIiIiIiIkrCYJmIiIiIiIgoCYNlIiIiIiIioiQMlomIiIiIiIiSMFgmIiIiIiIiSsJgmYiIiIiIiCgJg2UiIiIiIiKiJAyWiYiIiIiIiJIwWCYiIiIiIiJKwmCZiIiIiIiIKAmDZSIiIiIiIqIkDJaJiIiIiIiIkjBYJiIiIiIiIkrCYJmIiIiIiIgoCYNlIiIiIiIioiQMlomIiIiIiIiSMFgmIiIiIiIiSsJgmYiIiIiIiCgJg2UiIiIiIiKiJAyWiYiIiIiIiJIwWCYiIiIiIiJKwmCZiIiIiIiIKAmDZSIiIiIiIqIkDJaJiIgGuMbGRvzmN7/BuHHj4HQ6UVxcjFNOOQXvvPNOl/fl8/nw17/+FVdffTUOPfRQ5Ofnw2azYfjw4TjvvPPw4Ycf9sI7ICIi6nkMlomIiAawiooKTJ48Gffccw8aGxtx2mmn4eCDD8Ybb7yBE044AY8++miX9vfSSy/htNNOw2OPPYb6+nrMmDEDp59+OhwOB5YsWYJjjjkGd999dy+9GyIiop7DYJmIiGgAu+yyy/Dtt99ixowZ+O677/Dyyy/j/fffx1//+ldomobrrrsOX3zxRaf3Z7VacdFFF2HDhg3YsmULli9fjldffRXffvst/vM//xNSSvz2t7/F+++/34vvioiIaN8xWCYiIhqgvvrqK6xYsQK6ruOZZ56By+WKrjv55JMxb948GIaBe+65p9P7nDt3Lp555hlMmjQpYbkQAtdffz1mzJgBAHj++ed75k0QERH1EgbLREREA9SyZcsAAEcffTRGjhyZsn727NkAgJUrVyIYDPbIa5pB9Pbt23tkf0RERL2lXwTLr7zyCsKzRGwAAQAASURBVKZPn47CwkK43W4ceuihuO+++7pdMa9fvx6zZs1CaWkpHA4HRo8ejfnz56OioqKHj5yIiCh7bdy4EQAwefLktOvN5c3Nzdi0aVOPvKa5nyFDhvTI/oiIiHpLxoPl6667Dueeey4+/PBDHHnkkTjxxBOxbds23HTTTTj++OPR0tLSpf29+uqrmDp1Kl599VWMHDkSZ5xxBjRNw6JFizBx4kR89913vfROiIiIssvmzZsBACNGjEi73uPxwOPxJJTdF19++SVef/11AMDMmTP3eX9ERES9KaPB8vLly/Hwww8jLy8Pn3zyCd58800sXboUmzZtwiGHHIK1a9fi1ltv7fT+du3ahblz5yIUCuHJJ5/Ep59+iiVLluDbb7/FnDlzsHfvXsyePRtSyl58V0RERNmhsbERAOB2u9ssk5eXBwBoaGjYp9dqamrC7NmzEQqF8LOf/QynnXZau+X9fj8aGhoSHn6/f5+OgYiIqCssmXzx3/3udwCABQsW4PDDD48uLy4uxuOPP45jjjkGixYtwq233oqCgoIO9/fQQw/B5/PhhBNOwGWXXRZdrus6nnjiCaxcuRLr1q3D6tWr8bOf/azn3xAREVEfufHGG/E///M/Xd7u6aefxrRp03rhiNoWDAYxa9Ys/POf/8R+++3XqeRe99xzD+64446EZTfddBNuvPHGfTqWloBEU2MtrBZABsQ+7Yv6r8aG2kwfAvUBnufs0tRgQAtqqKmxdnqb2trUc1xUVNSTh9WujAXLO3fuxLp16wDEEojEmzZtGoYPH47t27dj1apVOP/88zvcp5moJN3+8vLycPrpp+P555/Ha6+9xmCZiIiy2q5du/DNN990ebumpqbo8/z8fABqTHJH5c3u2F0VCoVw3nnn4W9/+xtGjhyJd955ByUlJR1ud/PNN+P6669PWGa322G327t1HKaWgERefhD5BUXIdzJYzmWegr67oKbM4XnOHq0wkO/SUFTU+WAZ6NvgOFnGumGbSUWKioowevTotGXMxCJm2fY0NjZGxyN3lKikM/sjIiLqz1544QVIKbv8OPHEE6P7GDVqFABg27ZtaV/D7P4cX7YrwuEwLrjgArz22msYPnw43n333bRZt9Ox2+3RMdPmY18DZSIioq7IWLDcUVIRABg+fHhC2fZs2bIl+rytfXZlf0RERLnOHAL12WefpV1vLne73TjggAO6tO9wOIw5c+bg5ZdfjgbKbd0cJyIi6o8yFiz3dFIRc3/t7bOz+2NSESIiGgjOPPNMAMCHH36YtnX5pZdeAgCcdtppsFo7323OMAxceOGFWLx4cTRQHjNmTI8cMxERUV/JaIKv/qq3koo0NtQiIAw4RcZn7KJexGQTuY/nOLv4WiVaAkBNjRV+e+fGqKZLKAJkdtxUbzj44INxxhlnYMWKFbj44ovxP//zP3A6nQCAN954A8899xw0TcPNN9+csu2FF16ITz/9FFdffTWuvvrq6HLDMPCLX/wCL730EgNlIiLKahkLlns6qYi5P3Of6bJnd3Z/vZVUJN8ThF944SlgsJzrmGwi9/EcZw/dLqH7gaIiK9ydDJaB3AuM2/KHP/wBX331Fd566y2MGTMGxxxzDCoqKvD+++9DSomHH34YEydOTNlu27Zt+Oabb1BVVZWwfNGiRfjzn/8MABgzZgwWLlyY9nXHjx+PBQsW9PwbIiIi6iEZC5bNRCHbt29vs4y5rjNJReIThmzbtg2HHHJIt/fXE4ExERFRNhg8eDA+++wz3HPPPVi6dClWrFgBt9uNn/3sZ/jVr36FGTNmdGl/NTU10efvvfdem+WOO+44BstERNSvZSxYnjRpEgCguroamzdvTpv0w0wsEj8Hc1s8Hg/Gjh2L7777Dp999lnaYLkr+yMiIhooPB4P7rnnHtxzzz2d3qatQPj222/H7bff3jMHRkRElEEZ6w9cXl6OKVOmAIglEIm3du1abN++HXa7HSeffHKn9nnWWWe1ub+mpiasXLkSAHD22Wd397CJiIiIiIhoAMjo4Nnf/OY3AIB7770XGzZsiC6vrq7GVVddBQC4+uqrE8YfL1u2DOPHj0/bLey6666Dy+XCW2+9haeeeiq6PBwO46qrrkJdXR2mTJmCn/70p731loiIiIiIiCgHZDRYPvPMM3HNNdegqakJU6dOxUknnYRzzjkHY8eOxZdffomjjz46JTFIfX09vvnmG3z//fcp+xs6dCiee+456LqOyy67DFOnTsV5552HAw44AM8//zxKS0vx0ksvQYjOJ3ghIiIiIiKigSfjaZkffvhhLFmyBEcddRQ++ugjrFq1CuXl5bj33nvxzjvvRKew6KxZs2bhk08+wdlnn40ffvgBy5YtQzgcxi9/+Ut8/vnnGDt2bC+9EyIiIiIiIsoVQkopM30QA8VrH+yFX3hR6s34PQrqRQ31NZxWKMfxHGeX5lYJnx84dXLnp46qqakZMFNHDTQtAYnF7+xF0aAi5DvZ0yxX8Xt6YOjueTYMiUAYCIaAQEgiGAYMAzAkIAHIyHNNAB6XgMcFaOyZus8q6g0UuDScNMna6W0yXR9nLBs2ERERERFRTwsbMhIIA8GwVD9DKgAWAIQGWHXApgvYrQKFbgGrrpZZLIBVE7DoAr6AgW2VElsrJOxWiaI8AYeNQfNAwmCZiIiIiIiyTigs0dQq4Q9KtAaBYEgCENA0wKYDVouAwypQnC/gcQm4bAIOG+C0qeUOK2C3op18RjomjJDYXWtg814De+oNBEMSHhfgdQloGgPnXMdgmYiIiIiIsoKUEvU+oKZJIuCTGGQBXDaBMq+A163BbQdcdhUMO22AzdJeMNwxt11gbJmO/QZrqGqU2FljYHOFgS2VEnkOiUH5AnoPBc1hQw0b8gclLLqAPRLMswt45jBYJiIiIiKifs2QEnXNEvXNgMcpcPhoHS7NiuFDrHBa0eutvJomMLhAYHCBhnFDJbZXGfhmVxjbq1QX7eJ8Aaulc8cgpRon7Q+qPAqtgcgYaU0F/k6bQDAM1DdL+EOqvKYBDqtqFXfZ0WMBOrWPwTIREeUMKSUkAESStADqAoSIiLJT2JCobZJoaAEK3QJTxmgYNViHxyVQU6N1OnFjT3LZBcYN0zG6VIsEzQZ21xoQQsJqiYyLFipBmNkoHIiMoTZTK1stgN0i4HEKjCnV4HWr53lOAZcNCBlAcyvQ1CrR7Jeo9xmoaQQaWyRqmyUMQ0aC60hLuo0t0L2BwTIREfWoQEiiJaAuCAwpIaX5PM1PRLKOAhCR3wUkJFSFb1b7UiAa/UaXpXltEfnHvF4QkUeBW4A34YmIepZhqORZQgAWvWdbOwMhiepGCX8AKMoX+PEBGkYO1jMSHLfFZhEYU6ZjRImGXTUSO6rD8IdUZm2VYVsibKj6qihPoMgt4HKosdMuu2oldtrSdxO36oDXDXjd5jodAODzSzS2SDS0SNQ0GaioV79XNQBhKWG3qODZZVfHR/uGwTIREfWI1oBEVYOEIYE8h0qwYtFUkGpeROkaoOuARVMP3Vwu1E+hqTvxmojdmY+/Oy+iy0Xc89hyQHVjM5+b6yy6uighIqKuie8y7A+qbsHBkFonoMbUSgkEDdUKLIS6+Qmhug277CogtOid+w5ualUtyQBQVqBh7BANw4q0fp2F2qoLjCwRGFnS+9PDqkBYoNQLADoMQ6KpFWiIBNAV9QZqmiQqGySCIXU+nJHWZ5et97ur5xoGy0REtE98fhUkaxpQPkjD/kN0lHpVYKyCXFbMRNR1Uqqbb2FDPcxeKhKxrqwyMs7Tqvd8y+ZAEzYk/EGgNah+xncZtkW6DDttAkMKBQpcAm67+t1pByBj3YwDIRVQ+wMSlY0S9c1qrHHYkNA1RAPn+N5HZo8jnx9w2YH9SjXsV6qjzNtzybNylaapeaA9LvU5HVSuIxCSaPCp4Lm2WWJvnYHGFqCmUZ0HmxWwW9R5UH83sRvY7MqdiMEyERF1S2OLRE2jEemGpmFsmY7SAk6lQUSpwoZEKAz1MNSUP2YQHDbUMiHNgRiKgLqI1zT1M7lXCaB6joRDQGNIImiobq8QQHO9gbyAEQ2irbqA1WI+bz+oNqREix9o9keGlBgSFouAzaK6tdosaryptZMtpf2J2W3aH1KtxIEQEA6rGxC6pgIou1Vllja7DLvtsS7DjnanWUqvJaACt3qf6jZc2aBaqrVIjyLzJodVBwblq9bZQrfgjdZ9YLMIFHsEij3qdyklmv1AfeQ8VNQbaGxR56E1EPf3Gfkbyneq7t+d7Q2QyxgsExFRp5nZSOuagTw7cOBwHfsN1lHi4YUN0UBlSBV0BSOtioGQOV4zVsZsubLoqteJzSJgtwjYbYDTCjisKpNwfHCra4nBrabFhlzED80IhiOvG4y1bO6ttMDp1tHkV11UzYzDobBEIKwCYAm1vVVXwW8oDASC6nidNtVSd8AQDTarQGOLgQafCqCbWtQ+QmGVXUEidpw2iwr+4lvreusGotkqGzbUZx02ENcSn3gzIhxWuSCEUAGxLZJYyusWKHBpcEWmW3JHukz3ZGuuM5LdOb7bsCEjQ254c7VPCCGQ51BDpIYVqdZnQP0fDoZjf7vBMFDdaOCHvQZ21UgAEoV5atuBWsczWCYiog6FwhI1Teqi08xGOqJEQ6G798dnEVHmxXfRjWb1jSQuEkJ107XpAjarQFFeJKuvQ80Ta7OoVl1bpDVW/ey5i2+bBSlJnwptOoqKYpe5YbNFNTLutjXyXlr8Eo2tKkGSzSJQVqjB61LdjBMDhFhw0Ro33U9rZF9NrQYaI8G0P6iGp4TMADaSkj8uT2EskaFIXA7EfpES0EQkyI1bZZYXAtBFrOVdEypHhK6rLtN2q4DNqsYN5zs1uGyxwDWTyZ80TYA1R/9gdsN22gCzv8aQQg0HDJXYWyexvTqM7dVq/LPDKuF2qP872dirorsYLBMRUZtaAiobadgAivMFJo3SUV6cmak6iKj3hY1YEKjGrarwTNMAR6SL7mCPGiOZ59Ci8746bIDTqoLj/tgCpWuqxTQ+KOgOiy6Qp6sWuqRXABALyoMhIBjXahcMq26u5vhcI26cbtiQcckKRcLRRbugC0TzQKikiZGEiVpiAkWO3aaeYLMIDC8WGF6socEnsbvOwM4aAzWNEntq1bhni67Gl7vt6sZMrmKwTERECQxDos4nUe9TF8fDijTsV6qykXIaCqLcEQxJ+AIqk70/qII3Myh22gVKCwQK3QLuyLhVt6Pnu+jmmp4Kyon6C49LwOPSMW6ojtaAGvNc55OoajCwt17dUA/EZd02u/LnShd7BstERARAtSLXNqlWEa9b4PDRGsoHaSjO53hkomwXDKukVS0B1W1YytiUaoVuDSUFsa7T+U5OMUNEqRw2AUdk/Pm4oTqC4VjyttpmiT11Bhp9EtWNsTmfY93+M3303ZOlh01ERD3BH1SVXHOrGtdW5lWtyEMKNc5LTJSl0gbGmrpoLcrTMLhAjcnNdwrkO0S/nr+WiPovqy4wKF9gUL76XUqV26Telzjnc02j6r3iD0kUuDJ7zF3FYJmIaIAJhlSA3NiK6FQdE4ZrKPNqKMrj1E9E2SRsqOmNfOY0R2aLsVW1GJcWCHgigbHHycCYiHqPEAL5TiDfGZvzORhWCfTMFmirnuGD7CIGy0REOU5KdRHd0KJamyy6ymg9bqiGskLVzZpjEIl6V2tQoqpBwjDUNEVmluiuZIaWUrUUm4FxKKwSP7nsAh6nhv2HCHjNFmOnYO8QIso4q64y5BflZfpIuofBMhFRDgqEJHx+oLFFZWB12YFBbg3DRgiUeDQU5YsBNfUDUab4/CpI1gQwbJCGApdQPTtaVNbpBp/KEwCo1Mi6RcAWmffXqgsYUu0jEFRTCDmsgMshMLRQoDhfi7Yau+39Mws1EVE2Y7BMlIPChhoz0tiipq2wWxC9mOpPXWzNKTbU3JcSUsZPkSEgIlNk6Fps+gxzLsn+LBhSrT/mXJ6hsIQm1FyG5sOqx/2u7dtFrtna1NyqMtuGw5F5Rx0C+w8xu1drKHDxYpqorzS1qmyxdovAfqUaxpbpKPPGhjkYRmyuX58/br7eFgNNrWp7f1B9B5YWqO7UBW4NHqfq5sjeIEREvY/BMlEOMIOlxhYJn18FZm6HwOgSDUX5GvbWG6hqUAkWAAm3Q80R2dNj1wwpEQ4DIQMIRx8y7rl6SEOVF5oK5G0W1YXQoqnAMhBWU5iEw0AoMgdlWKptDakuMuOPXAoVcMbPOamJ2ByU0UBb9PzNAkOqC92mVonWgASkgMUCOKyqC2T5IIF8pxZp6VU3MVoDEoFIV8pgWL0vSKneCxLfhxlYm78HQypBhrrBoDaQiE3XMLJEYFC+ar0qcAlO9UTUx5pbJSobJJw2YPwwHWPKdAz2pGaU1zSVIdZlT+6eqAb0mcG0riGn5zAlIurPGCxTr5FSImSoGEBGLujN54Bq+bKwG2i3mJlOfYFIgBbpmlfgFjhwmI5ij0rUZI5XO3i4jma/CpYrG9TE8rVNEv6Q6hrosqtWSIc1fcujlCrgDYZVK3AwpIK8YEgFrxAApPphBni6FgnwNDUFid0qYLeon+Zcna7IFAROG1KCuuQgOxiOBeKhsPpd/QQCQYnWoERLEGgNqBZdQwKBYNuBduS/IQQkpBCRQNpsuY61YGuR37XIeiEic5I2GGhuVftw21V3yKGFatoVc05Spy3952lEWtT9IdVdOj4ADoSAloAROb+xwDoU+TysugqASwsEvG6BPLuAy26OUWRrE1GmBEISe2olLDowfpiGcUN1DMrXur0/M5gmIqLMYbBM+8QwZOSCX10oqEAqtt6iq+BCg/oZHzcEQiqQEZDQdRWo2a0Cdmvnk53korChut4FQqqV1QwOzdZHCRWEumwCJfkaSr0CBS4NHhdQ4Gw7k7HbrgK44cUaDh0VmVS+WaKq0cDeOon6Zom9AQBCJmxn7k3XYmPonDaBkkhmVadNBcFWi4BVV+cu+tzS/S7GZrCdeiQdM2/UxAfX8Z9lKKwCz1BkfTAkEQiroDQQVkF2MKxuCBiGKmNA/X83JOBrkRjiETigTMOgyI2JrowX1DQBhw1w2Np6X7FUkYYhYzcpwhI2iwrCGRQT9Q9hQ6KiXt30Gl6s4aBy1d16oNZhRES5hMEydUr8GEx/XEAsBKKthfkOFTx5XCqActpU4KtrKhwQQkCLC5h9AdUttdkP1DeredhaA6orsZnsRAgzYyhgN7OGZnm30uSuyoFQLDiWUrVemp+pyybgtAs4rWp+TFvkZkK+U6BgH6YA0bVYZsL9SnWEDTUfXl2zSu2vaSrBjGolVoGvRVddix22/n8zQ4hY4B63tMv7McxW6TAQlipwDhtAbY0NI4dZ+2T8t6YJ2DX1d9Cd90BEvcOQqrdOQwswxCtw0HAdI4o13sgiIsohDJYpRWtQoqlFBcfhsFqm67ExmEMK1VhId6T7p9Omuop1dWykOQdb5BVSpsRo9kv4WiVqIgGczw/UNkuEwqrlUwgVDJkBtDn9Rm927ZZSBfd1keNQryTiuvQCTQ0G8vxG6rYi1mgb31XZqquspkV5qV14+6qbuq4JFLoFCt198nJZQ9MENCQH3YDh51zERANVfJBclCfw4wM0jCnTOa6YiCgHMVjuQ3YL0NAKbK00kO8EClz9Z27TsKFaFRtbVNdZr0ugvEhl3nRHxrO2NwazJwih9p9uXsiwoQLoloBqfTZbpc3pN/xBoCGgusGFDDN0VS2k1qTsw7oW/+jce/H51efjDwJuOzB8kIbBBZrqWg4k/KyrtcBbmPqnpWnqGJIDfJuFXWqJiPo7w5CoaVJB8qA8gaMO0DBqsA63nd/fRES5isFyHzpijAUh3YrdtQa2VxvYWS1hSAmPC/A4RZ8nuzKkRHMrUNukpuzx5gkcPlrD0CINxfn9q+VM1wTyIhmck0mpxnS2BlSruD8yFYc/BPj8Bpr9QIs/MkVHQAXeZhfo1GRPgBoVrKJfIVTrutMGlHk1jCjWUOpVmYbbUuPQUVSkt7meiIiyQ/xMA02tKkj+cSRIdjFIJiLKeQyW+5DNIlBWpKF8kIaJI9XUEnvqVOC8q0ZCSom8SItzTwXORiSDbiCSbdcfVMmLZCTpltMuMLZMw4gSHaUFIiu7kQkRa6H1pIzpjAWtoXAkAZmZ7Ckc9zySDMqQamyqNNTyoCHhcWoYXKC6KffncbpERLRvEuYs96s6wW5VN7QnjmCQTEQ00DBYzhC7Vc2/mhw4b6sysKtWwjAM5DvV+FWb3vbcsOY8jC0B1U05FE5cb06FY43M0zi0MDLdTKRbtccl0rbW5iJLpBu2MjDeMxERtc2QamhPs18FxzIuOB41WE0JV+hWdSWHyxARDTwMlvsBm0VgWJHAsCINh4yIa3GuUnPhBsOAEVaT2AoAFktkOpuwCoTtVtVCPLRQwOPSYNNjU/xYI0mv7FZON0NERGTaW2fAoqu60eNUvaxUokMGx0REpDBY7meSA+dmf2QMbkD9bAlINLZKWHSgyK0hz6mmbMpztN36TERERIrNApQXC5SVWOB1qxwUrEOJiCgdBsv9mM0iujwdExEREbVN1wSO2M+KoiJeAhERUfu0TB8AERERERERUX/DYJmIiIiIiIgoCYNlIiIiIiIioiQMlomIiIiIiIiSMFgmIiIiIiIiSsJgmYiIiIiIiCgJg+U+4vf78cgjj8Dv92f6UKgX8TznPp7j3MdznNt4fnMfz/HAwPOc+/rDORZSSpmxVx9AGhoaUFBQgPr6eng8nkwfDvUSnufcx3Oc+3iOcxvPb+7jOR4YeJ5zX384x2xZJiIiIiIiIkrCYJmIiIiIiIgoCYNlIiIiIiIioiQMlvuI3W7HbbfdBrvdnulDoV7E85z7eI5zH89xbuP5zX08xwMDz3Pu6w/nmAm+iIiIiIiIiJKwZZmIiIiIiIgoCYNlIiIiIiIioiQMlomIiIiIiIiSMFjuA6+88gqmT5+OwsJCuN1uHHroobjvvvsQDAYzfWjUgWAwiLfffhu//vWvMWXKFHi9XlitVpSVleH000/H66+/3u72b731Fk4++WQUFxfD6XRi/PjxuOWWW9DU1NRH74C668Ybb4QQAkII3HXXXW2W4znOLoFAAI888gimTZuGoqIiOBwOlJeX46STTsKSJUvSbsNznBtYF2c31scDE+vi3JU19bGkXnXttddKANJiscif/vSn8uyzz5Zer1cCkNOmTZM+ny/Th0jtWLNmjQQgAciysjJ5yimnyHPPPVdOmDAhuvyyyy6ThmGkbPvggw9KAFIIIY899lg5a9YsWVZWJgHIcePGycrKygy8I+qMDz/8UGqaJoUQEoBcuHBh2nI8x9ll+/bt8qCDDpIAZHFxsTz11FPlv//7v8sf//jH0uVyyZkzZ6Zsw3OcG1gXZz/WxwMP6+LclU31MYPlXrRs2TIJQObl5cn169dHl1dWVspDDjlEApA33HBDBo+QOvL222/LmTNnyv/93/9NWbd48WKp67oEIP/0pz8lrNuwYYMUQkhd1+WqVauiy5ubm+WMGTMkgLRfBJR5zc3Ncv/995fDhg2TZ555ZpsVNM9xdvH5fHL8+PESgLz99ttlIBBIWN/c3Cw3btyYsIznODewLs4NrI8HFtbFuSvb6mMGy71oypQpEoC86667UtZ98MEHEoC02+2yrq4uA0dHPeHiiy+WAOSMGTMSls+aNUsCkJdccknKNlu2bJGapkkA8uuvv+6rQ6VOuuaaayQA+frrr8u5c+e2WUHzHGeXW2+9Ndry1Fk8x7mBdfHAwPo4t7Auzl3ZVh9zzHIv2blzJ9atWwcAmD17dsr6adOmYfjw4fD7/Vi1alVfHx71kEmTJgEAtm/fHl0WCASiY6fSnfuRI0fi6KOPBgAsW7asD46SOuu9997Do48+igsvvBAnn3xym+V4jrNLMBjEE088AQD49a9/3alteI5zA+vigYP1ce5gXZy7srE+ZrDcSzZu3AgAKCoqwujRo9OWmTx5ckJZyj6bNm0CAAwZMiS67Ntvv4XP5wMQO8fJeO77n6amJlx00UUoLS3FQw891G5ZnuPssmHDBlRVVWHo0KEYO3YsvvzyS9xxxx24/PLLsWDBArz++uswDCNhG57j3MC6eOBgfZwbWBfntmysjy09vkcCAGzevBkAMGLEiDbLDB8+PKEsZZc9e/bgueeeAwDMnDkzutw8n16vF/n5+Wm35bnvf371q19h8+bNWLZsGQoLC9sty3OcXb744gsAQHl5ORYsWID77rsPUsro+t///veYNGkSli9fHv3O5jnODayLBwbWx7mDdXFuy8b6mC3LvaSxsREA4Ha72yyTl5cHAGhoaOiTY6KeEwqFMGfOHNTX1+OQQw7B5ZdfHl3Hc599Vq9ejSeffBLnnXcezjzzzA7L8xxnl+rqagDqjvPvf/97XHXVVfjmm29QX1+PNWvW4IADDsDGjRtxyimnRKcR4jnODTyPuY/1ce5gXZz7srE+ZrBM1A1XXHEF3n77bQwaNAivvvoqbDZbpg+Juqm+vh4XX3wxSkpK8Oijj2b6cKgXmHetg8Egzj//fCxatAgHHHAAPB4PTjjhBKxZswYOhwP//Oc/sXjx4gwfLRF1Bevj3MC6eGDIxvqYwXIvMbsJNDc3t1nGnEDb4/H0yTFRz7j22mvxzDPPoLCwMHoXLB7PfXa57rrrsGPHDixatAjFxcWd2obnOLvEd9uKb3UyjRgxAqeccgoA4K233krYhuc4u/E85jbWx7mDdfHAkI31Mccs95JRo0YBSMzKmMxcZ5al/u+GG27AI488Aq/Xi9WrV0ezb8Yzz2ddXR0aGxvTjq/gue8/li1bBovFgscffxyPP/54wrp//etfAIBnnnkGb731FsrKyrB48WKe4yyz3377pX2erszu3bsB8O84V7Auzl2sj3ML6+KBIRvrYwbLvcT80q6ursbmzZvTZuH87LPPAACHH354nx4bdc+NN96IBx98EAUFBVi9enWbGfnGjRsHl8sFn8+Hzz77DP/2b/+WUobnvn8JhUJ4//3321y/ZcsWbNmyBSNHjgTAc5xtDj/8cAghIKVEVVVVNBFIvKqqKgCxcU88x7mBdXFuYn2cm1gX575srI/ZDbuXlJeXY8qUKQCAl156KWX92rVrsX37dtjt9nbnkKP+YcGCBbj//vtRUFCANWvWRM9tOjabLdqFJN2537p1Kz766CMAwFlnndU7B0ydVldXByll2sfcuXMBAAsXLoSUElu2bAHAc5xtysrKMG3aNACxbl3xgsFg9ALtyCOPBMBznCtYF+ce1se5iXXxwJCV9bGkXrNs2TIJQObl5cn169dHl1dVVclDDjlEApA33HBDBo+QOuOWW26RAKTX65Wffvppp7ZZv369FEJIXdflG2+8EV3e3NwsZ8yYIQHImTNn9tYhUw+ZO3euBCAXLlyYso7nOLu89dZbEoAsLCyUf//736PLg8GgnD9/vgQg8/Pz5Z49e6LreI5zA+vi3MH6eGBiXZxbsq0+ZrDcy6655hoJQFqtVnniiSfKmTNnSq/XKwHIo48+Wvp8vkwfIrVjxYoVEoAEICdPniznzp2b9pHuQuvBBx+UAKQQQk6fPl2ee+65csiQIRKAHDdunKysrMzAO6KuaK+ClpLnONssXLhQApAWi0X++Mc/lmeffbYcNWqUBCCdTqf861//mrINz3FuYF2c/VgfD1ysi3NPNtXHDJb7wJIlS+Sxxx4rPR6PdDqdcsKECfLee++Vfr8/04dGHXj22WejlXN7j5EjR6bdfs2aNfLEE0+URUVF0m63y/3331/efPPNsqGhoW/fCHVLRxW0lDzH2ebNN9+UJ510kiwqKpJWq1UOHz5czps3T3799ddtbsNznBtYF2c31scDF+vi3JQt9bGQMjLhFREREREREREBYIIvIiIiIiIiohQMlomIiIiIiIiSMFgmIiIiIiIiSsJgmYiIiIiIiCgJg2UiIiIiIiKiJAyWiYiIiIiIiJIwWCYiIiIiIiJKwmCZiIiIiIiIKAmDZSIiIiIiIqIkDJaJiIiIiIiIkjBYJiIiIiIiIkrCYJmIiIiIiIgoCYNlIiIiIiIioiQMlomIiIiIiIiSMFgmIiIiIiIiSsJgmYiIiIiIiCgJg2UiIiIiIiKiJAyWiYiIiIiIiJIwWCYiIiIiIiJKwmCZiIiIiIiIKAmDZSIiIiIiIqIkDJaJiIiIiIiIkjBYJiIiIiIiIkrCYJmIiIiIiIgoCYNlIiIiIiIioiQMlomIiIiIiIiSMFgmIiIiIiIiSsJgeYC4/fbbIYRo82G321FUVISJEyfi/PPPxwsvvIBAIJDpw+433nvvvZTP7Lnnnuv2/r755hv86U9/wpVXXonDDjsMFoslZf9btmzpseOPt3XrVmialvb/waefftpjr/Pcc8+l7P+9997rkX2HQiEsW7YM8+fPx+TJkzFs2DA4nU7Y7XYMGjQIEydOxDnnnIP7778f69ev75HXpFRSSqxcuRLz5s3DxIkTUVhYCKvVCpfLhWHDhuH444/HXXfdhe3bt2f6UIn6BdbF+4Z1cdexLh4YvvzyS1xzzTU47LDDUFhYCJvNhqFDh2LGjBl4+OGH0dzcnOlDzF6SBoTbbrtNAujSY7/99pNffvllpg+9X3j33XdTPp9nn322W/vavHlzpz7/zZs39+h7MN19991tvub8+fN77HWeffbZlP2/++67+7zfp59+Wo4YMaJL/5fHjh0rA4HAvr8pitq9e7ecOnVqpz5/h8MhH3744UwfMlHGsS7eN6yLu451cW7z+/3y6quv7vCzLy8vl++//36mDzcrsWWZ2vTDDz/g1FNPhc/ny/ShUA968cUX21y3ZMkShEKhPjyazmtpacGsWbNwySWXYNu2bV3a9rvvvkM4HO6lIxt4DMPAGWecgY8//rhT5VtbW3Httdfitdde6+UjI8o9rItzE+ti6gkXXnghFi1a1GG5HTt24KSTTsKHH37YB0eVWyyZPgDKnJkzZ+Kcc84BAPh8PqxZswaLFy9OKLN161YsW7YMF1xwQSYOMee53W5MnjwZu3fvxrffftvrr7dhwwZ89dVXba6vqKjA6tWrcfLJJ/f6sXSFYRi44IILsGzZspR1JSUlOO200zBp0iQUFBSgsbER27Ztw6effoq1a9ciGAxm4Ihz27vvvpvSTVDXdcybNw9HHXUU6urq8NRTT+Gbb75JKPPAAw/g7LPP7stDJer3WBdnHuvizmFd3L+8/PLLWLJkScIyr9eLa665BsOHD8fHH3+MP/7xj5BSAlDfL3PnzsUXX3wBl8uViUPOSgyWB7AJEybgvPPOi/5+0UUXIRwO45VXXkkot379elbQPcjr9eLJJ5/E1KlTcfDBB0eDjL6ooF944YWUZZqmwTCMhDL9rYJ+9NFH01bO1157Le6++2643e6029XU1OAvf/kL7r///t4+xAHlH//4R8qym266CXfffXf097lz52LMmDFoaGiILvviiy/64vCIsgrr4sxgXdx1rIv7l3QtyqtXr8aUKVMAAJdccgmGDx+O22+/Pbr++++/j47Tp85hN2xKcNxxx6Usa21tTVnWVsKIlpYW3HPPPTjiiCNQUFAAIQQeeughACoRxPLly3Hrrbfi5JNPxsEHH4yhQ4fC4XDA4XCgtLQUxxxzDBYsWJDSIhWvrQQfUko8//zzmDFjBgYNGgSHw4GxY8fi+uuvR1VVVbvvOxAI4MEHH8QRRxyBvLw8eL1eHHXUUXjyyScTKq+e4PV6cdlll2HixInQdb1H992ecDic0lpx4IEH4qc//WnCshUrVqCxsbHD/TU2NuK2227DwQcfDJfLheLiYhx//PEpdzn3VVNTU0IQZrruuuvw0EMPtVk5A0BRURF++ctfYtOmTbDb7Snrk/8fzZs3DwCwatUqnH766SgrK4Ou6zjssMNStm1ubsYTTzyB008/HcOHD4fL5YLT6UR5eTlOPfVULFq0CE1NTW0e2/Tp0xNee9SoUd0uN2/evJT3AgCVlZW48cYbMX78eLhcLhQVFeGEE07A0qVL2zyuzrDZbCnLfvzjHyf8XlxcjAMOOCBhWV5e3j69LtFAwbqYdTHrYtbF7QkGg/joo48Slo0fPz4aKJvmzp2bsu2zzz7b7dcdkDI8Zpr6SLqkIrfddltKuZtvvjml3AMPPJBSLl3CiBdffFGOGzcuZfl//dd/SSmlrKys7HQSCF3X5cKFC9O+l3QJPh5++GE5Y8aMNvc3ZswYuWfPnrT7q6yslJMmTWpz22OOOUauWLGix5KKpDN37txeTyry5ptvprzGrbfeKp966qmU5c8991y7+/ruu+/kqFGj2vzMzjnnHPmHP/yhR5KKvPzyyyn7KS4ulj6fr5ufREzyfufOnSvnz5+fsvzQQw9N2G7VqlWypKSkw//HxcXFcuXKlWlf+7jjjksoO3LkyG6XS/f/5+OPP5bFxcVtHtvcuXNlOBzu1ue2du3alP395je/SShTWVkpPR5PQpmzzjqrW69HlCtYF7MuZl2cinVx1+vi3bt3p+xr+vTpKeVaWlrS/l03Nzd3+TUHKgbLA0RHFXRzc7NcuXJlysWt0+mUu3fvTtlfugo6Pz8/7RdBdypo8/H888+nvHa6CtrhcHS4rwsuuCBlX+FwWB599NEdbltWVpb1FfTPf/7zlNf4xz/+ISsrK6Wu6wnLTzjhhDb309TUJMeOHdutz6w7FfQll1ySsp+rrrpqHz6JmM7+H46voJcvXy41Tev0/2EhhHzttddSXru3K+iCgoIOj+3mm2/u9md34oknplS+l1xyiXzmmWfkf/7nf6ZcrHs8HvnVV191+/WIcgHrYtbFrItTsS7uel1cU1OTsp8DDzwwpVxbWd8//vjjLr/mQMUxywPYHXfcgTvuuKPN9QUFBXjhhRdQVlbWqf01NjZC0zScf/75mD59OkKhEDZs2ICioqJoGYfDgalTp2LKlCkoKSlBUVERrFYramtrsW7dupQMkLfffjvmzJnT4Wu3trbC6XTil7/8JSZMmIAPPvgAzzzzTEKZV155BY8//jg8Hk902XPPPZeSGdBqteLSSy/FkUceiT179uCxxx7L+nlifT5fyjijsWPH4tBDDwUAHHvssXj33Xej69555x3s3r0bQ4YMSdnX73//e3z33XcJy9xuN66++mocdNBB+OGHH/Doo49iz549PXLsmzZtSll25JFHpixrbW3F8uXL29zP4MGDcfzxx7f7WmaXt0mTJmH27NkoLi7G5s2bsXnzZgBAdXU1LrzwwpTugD/5yU8wc+ZMCCGwdOlSrF69OrpOSol58+bh2GOPxaBBg9p9/Z5UX1+PI488EhdeeCEcDgdWrFiBlStXJpS57777cNFFF2Hs2LFd3v9rr72Gyy+/HC+++CIMw0A4HMbTTz+Np59+OqXsscceiyeeeAIHHnhgt98PUa5iXcy6mHVxItbFHSssLMSQIUOwe/fu6LKvv/4aGzZswOGHHx5d9vzzz6fdvrKysovvZADLdLROfaM7czvOnz9f1tbWpt1furvZAOSyZcvaPIZwOCxbW1vbPc677rorZZ/ffvttQpl0d7MByDfffDOh3GWXXZZS5r333ksoM2XKlJQyTz/9dEKZXbt2pb3LmU13s1988cWU/d90003R9YsWLUpZn67Ln2EYsrS0NKXsW2+9lVDu888/T3vHtzt3sw866KCU/bzxxhsp5dJ1SYp/HHfccSnbpCt3zjnnyFAolPZY7rzzzpTy5557bkq5WbNmpZS78847E8r09t3sH/3oRynzWc6ZMyel3I033pj2dTujqalJLliwoN3P/cADD5QrV67sdpdvolzCuph1Mevi41K2YV3cvbr4uuuuS9lPUVGRvP322+XTTz8tL7300jZb31988cUuv95AxQRf1KZHH30Uhx12GLZs2dKp8meccQbOPPPMNtdrmgar1YqlS5fi5z//OSZOnIjCwkJYrdZoIoTf/va3Kdu1l2DEdOyxx6Ykx0h353Lv3r3R5w0NDVi/fn3C+vLy8mhiCdOQIUNw8cUXd3gM/Vm6zJvmVCUAcNZZZ0UTUZjS3Y386quvEj5DAJg6dSpmzJiRsGzixIk4/fTT9+WQo2RkyoN4ycfaU6xWKx577LE2k7387W9/S1l22223dWpZum1704IFC2C1WhOWpfv7im/F6Iq1a9di9OjRuPfee9st9/XXX+O0007D6aef3m6SFSJKj3Wxwro4hnUx62IAuOWWW1BeXp6wrKamBrfffjsuueQSPPXUU20mxnM4HF1+vYGKwfIANnPmTPzlL3/BX/7yFzz//PO46667MGbMmIQyW7duxezZszu1v1NOOaXd9Xv27MGPfvQjnHPOOXjhhRfw5Zdfoq6uLqGrVzp1dXUdvna6zKGFhYUpy1paWqLPN2/enPIlcuihh6b9co7v0pJtKioqsGbNmoRlI0eOxOTJk6O/Dx06FEcddVRCmc8//xz/93//l7AsucsXABxxxBFpX7enPrPi4uKUZRUVFT2y72RTpkzB4MGD21yffLHodrtx0EEHpZQzs5LG64vpSOLFn1/TuHHjUjKWpjunHdm2bRt+8pOfJHTjOuigg/DOO++gsbER27dvT7lIef311/GLX/yiy69FlOtYF7MuNrEuVlgXd05xcTFWr16dMvNEspKSkpRl6f4uKT0GywOYObfjeeedhzlz5uCWW27Bxo0bU9Lh//3vf8cnn3zS4f5GjhzZ7vo5c+bgs88+6/JxdlSBA0i5swYg5U4ekHhnNN2UDOm+UAC0+6Xd3y1evDjlM5w5c2ZKuXTLku9oZ+IzS1cJrFu3LmVZWVkZpEpamPYOeGd09H+4vr4+4fe23juQ+v6Tt03W1t3fQCDQ7nZtaevYkpd3ZmqSZPfdd1/KNDZLlizBv/3bvyEvLw/l5eW4/fbbMWvWrIQyS5cu7XTrGNFAwbqYdXFHy1gXJ2JdHHPggQfiH//4BxYtWoTp06dj0KBBsFgsKC4uxsknn4zly5envVG9//77d+v1BiIGy5QgPz8/7V3pzz//vMNt0829atq0aRPefvvthGWapuHnP/85Hn/88ehd9SuuuKLrB93Ga3fUPSg/Pz9lWVsJD3rr7mlfSNft68EHH0yZC/CGG25IKffSSy8lVHaZ+Mx+8pOfpCx7+eWXu11xtae9/8OASrQTr70EGcnvP3nb5P+fwWAw7X66m9CmrWNLXp7unHZkw4YNCb8XFhZiwoQJKeWmTZuW8LuUMmVbIkr1/9m77zipqoN//J9zp/dtsPQiWCKigqBEUAmYIvbGo2iEaMQSNZZ8KZYoEoVHfUxQsDxKNBYsBEH5iRFFY0QTBOExJlFABVk6W2d3+sw9vz/OzOxOWbbv7M5+3q/XMLN37tx7Z+4uZz73NJbFLIsbYlmcimVxqsSgeh9++CHKy8sRiURw6NAhvP322zj//PMzmngPHDgw64Utyo5hmTJku6pWWVnZpm1++eWXGcvuuOMOvPDCC7jhhhuSV9WzNfPpKEOHDoWmpf4JfPHFF4jFYhnrpven6i62bduW9cpvc5WVleGjjz5K/pzeNBBo/LNpr89sypQpGSNXHjhwAPfdd1+7bL8l0q+s+3w+fPXVVxnrffXVV/D7/SnL0q/ipvcXqqqqyrgK/91332Hv3r2tOtZsNUdff/01fD5fyrJs57Qp6f8fBAKBrP9vZOuj3NgXESJKxbKYZXECy+JULIub7+OPP8743WvYT56axrBMKWpra/H2229nLG/ulBWNyfYFOb2/xu7du/H000+3aT8t4Xa7M/ry7N69G88//3zKsn379uG5557rtONqT9muZLdUw+ZfI0aMyGjS9I9//COjpuKf//xnxtQIreVyuTBnzpyM5QsWLMC9997bIVe1G3PWWWdlLJs/f37Gsvvvv7/J16b/TYVCIfztb39LWXbvvfc22iSsKQsXLsxo8vfAAw9krDdx4sQWb7t///4pPweDQbz66qspyyKRSMYyQF3RJqLDY1nMsjgdy+J6LIvr/e1vf2u0i8RXX32FK664ImWZ0WjEzTff3Kp99VScZ7kH+9e//pX8MhuNRvH999/jueeew65du1LW0zQtY4TFljrmmGMyli1cuBB+vx8/+MEP8O233+KJJ55o81XzlrruuusyrvrdcMMN2Lx5M0455RTs27cPS5Ysgdfrbdf9poeIxNyBDa1evTqlT8vQoUNxyimntGg/L7/8csrPmqbhj3/8IywWS6OvmTlzZkrfmRUrVmDJkiWwWq0QQuDaa6/N+I/+/PPPx0033YQRI0bg22+/xeOPP97qgiWb2267DR9++CHWrFmTsvz+++/Hc889hwsvvBDHHnss7HY7Kisr8Y9//KPd9t3QjTfeiIcffjjl83nllVdQWVmJiy66KDm347vvvpvyOpfLhRtuuCFl2SmnnJLxZfCiiy7CXXfdBY/HgxUrVuCdd95p9bFu2LABEyZMwFVXXQWLxZJ1bkdN03Dttde2eNtTpkzBBx98kLJsxowZ+PjjjzFmzBhUV1fjxRdfzKjF6tWrV9Z5OYl6MpbFLIuzYVncOJbF9W688UYcPHgQZ511FkaPHo3i4mJ4vV58+umnWL58ecZFjPvuuw9Dhw5t9fvpkXIwXRXlQGvmdkzcrr/++oztZZvbsal5+0466aQm9zVy5MiMZelzKGab2zHbPIvNWS8ajcpx48Y1eVxut7tZ+2yu1pyH6dOnt2gfn3zyScY2Jk6c2OTrrrjiiozXvf7668nna2tr5RFHHNGqz6w1czsmeL1eedZZZ7X697g5czs25zNesWKFFEI0e79CCLl8+fKM7ZSXl2edMzT9ZrFYUn5u7tyOffr0aXLbrZ1j2efzNet3IP22dOnSVu2PKF+wLGZZDLAsTteaz5hlsTJixIhmfwaXX365jMVird5XT8Vm2HRYV199NR577LF22dbLL7+M0tLSRp+/5pprcPvtt7fLvprLYDDgzTffxAknnNDoOscffzyeeeaZTjyq9pGt2dfUqVObfF22dRpuy+l04i9/+QsGDRrU6DYmTZqEBx98sJlH2jwulwtvv/02Hn300cOOfJnNiSee2OqrtukuuugivPnmmxl9t7IpKirCG2+8kbV/UHFxMZ566qmMvnoJRqMR//M//4Nx48a16jjXrl2Lfv36Nfr8lVde2epzZLfb8cEHH2SdEiMbm82GRYsW4eqrr27V/oh6OpbFLIvTt8WymGVxc9lsNsybNw8vv/xyo++TGsdPjJIsFgt69+6NU089FXfccQc2b96MpUuXZp32oTWOPvpobNmyBTfddBOGDBkCk8mEkpISTJo0Ca+99hqeffbZdtlPS/Xu3RsbNmzAww8/jBNPPBF2ux0ulwsnnXQSHnnkEWzcuLHbTVcRiUTw+uuvpywzGAxZp6RI99Of/jRjtMh33nkHFRUVyZ+PPPJIfPnll7j77rvxgx/8AFarFQUFBZgwYQKeeeYZvPfeexn94NqDEAK33XYbvv/+e7z44ov4xS9+gREjRqBXr14wGo2w2Wzo3bs3TjrpJEybNg2PP/44vv76a2zZsiWj305bnHvuudi5cycWL16Ms88+G/3794fVaoXVakW/fv1w1llnYdGiRdi5cycuuOCCRrczbdo0fPTRRzj33HNRXFwMk8mEAQMGYPr06di8eXObvrCOHDkSX375JebMmYNjjjkGNpsNBQUFmDRpEl5//XW8+OKLWecxba7Bgwdjw4YNeOuttzB9+nSMHDkSHo8HBoMBNpsNffv2xeTJk/HAAw9g69atuOWWW1q9L6KehGUxy2KAZXFzsCwGnn76adx99904/fTTMXToULhcLpjNZvTr1w+nn346HnjgAWzfvh2//e1vmxyZnrITUrZyEjQiIuoSZsyYgT/96U8py/hfOxERUedhWZyfWLNMRERERERElIZhmYiIiIiIiCgNwzIRERERERFRGoZlIiIiIiIiojQMy0RERERERERpOBo2ERERERERURrWLBMRERERERGlYVgmIiIiIiIiSsOwTERERERERJSGYZmIiIiIiIgoDcMyERERERERURqGZSIiIiIiIqI0DMtEREREREREaRiWiYiIiIiIiNIwLBMRERERERGlYVgmIiIiIiIiSsOwTERERERERJSGYZmIiIiIiIgoDcMyERERERERURqGZSIiIiIiIqI0DMtEREREREREaRiWiYiIiIiIiNIwLBMRERERERGlYVgmIiIiIiIiSsOwTERERERERJSGYZmIiIiIiIgoDcMyERERERERURqGZSIiIiIiIqI0DMtEREREREREaRiWiYiIiIiIiNIwLBMRERERERGlYVgmIiIiIiIiSsOwTERERERERJSGYZmIiIiIiIgoTZcIy8uXL8fEiRNRWFgIh8OBE044AQ899BAikUiLtrNlyxYsWLAAkydPRmlpKUwmEwoLC3HaaadhyZIlLd5ee6upqcnp/qlz8DznP57j/MdznN94fvMfz3HPwPOc/3J9jo053TuAW2+9FYsWLYLRaMSkSZPgdDrxwQcfYPbs2Vi9ejXWrl0Lm83W5Hai0ShGjx4NAHA6nRg7dixKS0uxe/du/P3vf8f69evxwgsv4N1330VBQUEHv6vsYrFYTvZLnYvnOf/xHOc/nuP8xvOb/3iOewae5/yX63Oc05rlVatWYdGiRXA6ndiwYQPeffddrFixAtu3b8fIkSOxfv163HPPPc3e3kknnYTXX38d5eXl+OCDD/DKK6/g448/xpYtW9C3b1989tlnuP322zvwHREREREREVE+yGlYfvDBBwEAc+bMSdYKA0BJSQmeeOIJAMDixYubVf1uNBqxadMmXHrppbBYLCnPjRw5Eg899BAA4NVXX815c2wiIiIiIiLq2nIWlvfs2YONGzcCAKZNm5bx/IQJEzBw4ECEQiGsWbOmzfsbNWoUACAQCKC8vLzN2yMiIiIiIqL8lbOwvGXLFgBAUVERhg4dmnWdMWPGpKzbFtu3bwcAmM1mFBUVtXl7RERERERElL9yFpZ37NgBABg0aFCj6wwcODBl3daSUiabYZ9zzjkZzbSJiIiIiIiIGsrZaNi1tbUAAIfD0eg6TqcTAOD1etu0r3nz5uHvf/87nE4nFi5c2OT6oVAIoVAoZZnFYmHIJiIiIiIi6iFyPnVUR3vhhRdw//33Q9M0/PGPf8SRRx7Z5GsWLFiAefPmpSybPXs2Zs2a1aZjqaysRCQmEYkC0RgQjUlEdCAaBSIxqZbpQCQqEYxIhKJATFevFaJ+O0IAHptAnwINxS4Bgyay75ByoqqqKteHQB2M5zj/NXaO2Y2HiIi6krqgxFd7YgiFJWwWAYtJwGQAzEbAZBAocAg4rcwKrZWzsOxyuQAAPp+v0XXq6uoAAG63u1X7WL58Oa6++moAwDPPPINLL720Wa+bO3duxhRT7VGz/Pl3EdRWuBCNATFdIqqrMKzr9esISEghYNQAg9YgJEtAyvr1KqokdnkFSlwCQ3sb0KdA/TEIwT+GroBfqPMfz3H+4zmmziClRDgKhKPxi+gxJC+eR+MX0nWpfo7F1LqRqFpPl+p7REyPrxOTje5HE4DRIGA0AEYNMBkAoxEwaQJmk1puMqgv1yajemwxCZiNgNnI7xZEXdHuCh1bdkRxsEbCYkL8/wsJAYHE/wYuq8CQ3hoG9dLQyyWgsZKtRXIWlocMGQIAKCsra3SdxHOJdVvijTfewLRp06DrOp5++ulkaG6OjmpyXRsAvFGJonhtcCIQt/aXNhyVqKqT+HRrFHYL0NujYUgvDaUFGq8gERFRiy1fvhxLlizBF198gXA4jOHDh+OKK67AbbfdBpPJ1OztbNmyBX/5y1/w/vvv41//+hcqKyvhdDpx3HHH4bLLLsPMmTNbtL3uLhKT8IeAQFgiEJYIRQBfSMLrl6gNqJZk0ZiErteH38QXXYHEYwkIAU0geRMN7oVQ6zZ2zVxK9SVa3Te46SqwN/xyLQRUeNYAk1EFZqdVwGEF7BYNhsQxaPX7NxoEXFbAbWeLN8pPMV19766sk6gLShQ6BUpcGly2zv99D0cl/l0Ww7/LYgCAwb2yh2BdSnj9wJe7ovh6r0C/Qg1HlGroV6jBYuLfaXPkLCwnpnKqqKjAjh07so6IvWnTJgBImYO5OVatWoXLLrsMsVgMTz75JK699tq2H3A7sZjQbkHWbBQoLVDb8ock9lbp2HlQh9sm0L9YYGCxAaUFgleEiYioSbfeeisWLVoEo9GISZMmwel04oMPPsDs2bOxevVqrF27FjabrcntRKPRZLntdDoxduxYlJaWYvfu3fj73/+O9evX44UXXsC7776LgoKCDn5XHUPXJWoC6otzNFYfUBsG1VAE8AZ01PgAf1giFO9eJXVAB2AQgMmIZM2t3SJgSFxEF8hpSzFdSsRiQCR+C4QlvIF4bbYeSwZrAUDG07wEYDUBDqtAqUeg2KnB4xAosIsu9aU8HFUXK/SGFw/iFyeMBvUdzWToOsdLuVUXlKiolSiv1bG3UkeNX/0dJ35DHBaBYpfAwGLVNbLQ2fEXiw55dfzfjhi+L9fRyy0OG9Y1IVDgAAocBgTCEnsqdXx/SEeRS2B4qYaBJQZ47Px9P5ycheUBAwZg7Nix2LhxI5YtW4a77ror5fn169ejrKwMFosFU6ZMafZ2V69ejalTpyIajeLJJ5/Edddd196H3iXZLaqg1aVEbQDYtlfHtr06PA6BIb3UFaQSN6/2EhFRplWrVmHRokVwOp346KOPkmG3vLwckyZNwvr163HPPffgkUceadb2TjrpJMyePRvnnXdeSkutL7/8Ej/96U/x2Wef4fbbb8cf//jHDnk/TYnEVI1uOKqaNYci8ebNMRVerSYBqxmwmQWsJlVr6g+pGqVyr469VepLcyBc/6U5QSaCswQ0A2CJh2G3XdXQdodyWBMCmlGFeaXpY5ZSIhhRF++37ZWIxXQYDer7SYFDBWi3XYPbrpqFGjs5kNYFJb4/FMM3+3X4Qyoky3jI1yUACRgM6py7bQLFTgGXXfX1dFoFHJbcXsBoT/6QCoCVdTpsZgGPXQUuuyU/3l9b+UISB6p17K7Qsa9awheUEAJwWIAil4A1fvFHl6rFyP5qFUAtJqDQoZo89y3UUNjO3SOjMYnt+2L45y4dgZDEoJKW/R3ZzAIDikWyhnzD9hj+XaZjcG+BIb0M6O1mE+1shJSy8Q4uHWzVqlW48MILMwrniooK/OhHP8KXX36JO+64I6VwXrlyJebOnYv+/ftj3bp1Kdtbs2YNLrzwQkQiETz11FOYOXNmp76fprzx8QGERAFKCzpnxq6YLlHtk6gLqAIg0b+5tEC0+x8w1ausrGRfxzzHc5z/eto5Pvnkk7Fx40b87ne/y3rx+rTTToPFYsGBAwfg8XjatK+XXnoJP//5z2Gz2VBTU9PpzbHDUYk31x9E1FgQH2yz4bOqvjRRy2g2AGaT+nLsC0r4QhJSqkF0XDYVpFmWNi4SlfCHVTgLRyR0CNhMKkAXuwQK7BqsZnVxwmKqv0ihpdXUJz7hlnyRT/wNV9SqIPPtfh3egITTpmqPE03WGzZhj8aAYARqkNWw+m3QNMBmUuc78f0pES67S8s9KSVq/EBFrbrQs79KojYYv0IAAU0DHGZ1Qae3R13ccNu6x3tsr/+rQxGJgzUSZRUx7KlQn4/BABTYVfcDrRl/58GI6lrhCwI2M1BaoLpH9inU4GjjhYgqn44vdsbw7QEdHjtQ5Gx7lpDxCraqOvVeE020+xd1rSbauS6PcxqWAeDXv/41HnvsMZhMJkyePBkOhwPr1q1DdXU1xo8fj/feey+l2dfzzz+PX/ziFxg8eDB27tyZXH7w4EEMGjQIoVAIAwYMwOTJkxvd5yOPPIKSkpKOfFtZdXZYbigUUcHZH1J/wL09Gob01lDqyU1fi3yW6z9q6ng8x/mvJ53jPXv2YMCAAQCA7777Lmu3qEGDBqGsrAzLli3D5Zdf3qb9/fvf/8Zxxx0HANi7dy/69u3bpu21VCAs8eoHB+D0FMJtEzAYMr8IS6maVydqm8NRCYtJwGntHjXDXVWi9jkQVt9HGl6oMGqIDyymwlu6RLg1GtQ5MAg1QJlBAGYTYDUKGI1qFGCDBtTWVMIvC1BWocMfVjV+bnvzQk9DMV21IPCH1L2uqy51dotAkVOg2KXBZQVcNlUDnQgZuq4uFPhCMn6hRS3rU9B5Lf0adtE75NXhD6nPzG1T/csTFx+isfr3GIyorgImk7pIUOAQ6OVWQdplVQE6X4KUlBJVPoldh3R8d1BHjU/VIHscAi5by39XGvKH1LbDEfV5D+wlMKBIVVi1pJm/rkt8d1A1u/YGdPTtoL7GwYhqbRCJAkVOgeF9uk4T7VyXxzmfOmrRokUYP348lixZgk8//RSRSATDhg3DnDlzcNttt8FsNjdrO36/Pzk38u7du/GnP/2p0XXvu+++nITlXLKYUvs3J5qMOK3q6u6AeF+Lok7oa0FERF3Hli1bAKjRv7MFZQAYM2YMysrKsGXLljaH5e3btwMAzGZzTr8AmY0CpkZqzYSIjwjdgmbI1DQhBGzx5u1FztTnEiOBh6Ops38A8cHJICH1+POQyX7Gul4/UJku47XREqj1RuH26Ch21X//aQ2Dpi6SNBxvJhRRYX93hY4dB2IABIxGFS498eb21X6JYFiFEDUNqKrFNRpiKHGpGrw+BRoKHO37u6XrEuW1ErsrdHx3QHUXsJgAj12gtyd7SwijQYXDhpUn4agK0Ae9OnaVq2WmeDP1AoeqgU7UPndUDbSuS9QFAW9AfYYWU7xbg0nAYkSrm/JHYhL7qyR2HIxhT6UOXwgocAADStrvO3B698ivduv4eo+OYqdQA2wVaSiwH76VZ21A4p/fR7F9nw6bBRjcS+uwlixWk0D/oswm2gNLBI4o7dlNtHMelgFg6tSpmDp1arPWnTFjBmbMmJGxfMiQIchxJXm30fAPuGFfC7NJNTcZUKyhyKnBakoMPiLic7WxuRkRdQ+JGqy6oBq1NBoDhpVqPbawP5wdO3YAULXHjRk4cGDKuq0lpcRDDz0EADjnnHM6ZOYJ6p4S01rZGq0jadnfrteiwe3pmJZ8lniz8UJkhsvyWj0Z7OwWNeBTw1CnWvrp+ORrHXYL0K9Iw+ASDQOKtTb1464NSBzyqoC8v1pHJKpGJm9slOSmJL77NaxZbBigy8rVRQxz/H26rOq9uqwi/j1TLdcEktOhxXSZnBZNStXcPjFNamJ0dTUwnupPXe5V/38HI1CDwWtqhPZECwKrCdAiEQwfHEs2j2/sMwyGZXKwrm/2x3DIqzJDWy+mNEUTAh67+hwjUVXb/I9tMdgtMfQt1DC4lwazUaRcIJJSXWT5V1kMFbUS/QoFrObOKbsMmkCJW6DYpS5UbN2j45v9OvoWaBjWR/XFtrXiWKRUrSuqfRIGDehb2PmtbFurS4Rlyg1NpF4tDUXUgCdbdkSR6MNiTNzi8y7aTImpI1QfLrNRFRpWk/oPh2GaiHIhMZVetU+i2q+jvFbCHwQCEdWszG0T6FekwcFslqG2thYA4HA4Gl3H6VTVgF6vt037mjdvHv7+97/D6XRi4cKFh103FAolW4wldNTUjkRtlS1cZpNo6ZcIDzsP6dhxQMeAEg3H9jegb2HzvkslagAraiXKKnRU1KowaDapZrStCTRNyfYeQ5H6iwR7KlXtvkR8oLx4bXNMl/VzgsdbAQDxpvVafRP7RLCWicHWTKq2u5dHfWfVdZkcoT0aA2qDEuXlOvbURdVsMzaBfoVqOidLfJyBGr/6jGqDUvVFj6iBuvoWNt6ypKOYjKpGHp74gHPlqi99ttMtJWCzAEN6izY1B28tIepbGwQjEgdqdJRV6PDY1QBmA4oPP2dzNKbCdo1fXfjYXx3vzx2SGFCsMSxT96SulAqUuNXPui4R1dV/SIk+W/6QxAGv+hkNroJZjMDAEg1H9TOg1MPQTEQdS0oJb0ANWHPIq2NPpURdQP2fZdCQHDTIbRcIRwF/qOltUsd64YUXcP/990PTNPzxj3/EkUceedj1FyxYgHnz5qUsmz17NmbNmtWm4wiEJepqq2AyAjLMsipf1Xqrcn0IzeIxqoHQtu6Q2P49MLSXhqP6GlCQNoBTIlzX+CUq4wN1ef2q1jUxLWlhfCCqSACIBDrvPWgAbKK+VUCiz3/Ir342aPG+5ZoaIV6L97mV8am7JJAcndzWcMR4CUSDQF0w+z4tANymGrisGkIRiapKid17VWDXRP291QxYjGrwOFe8gijgAzrxI8rKY0STSayubdcn243TAOhCwlsDfLJfh8kg0MujWkW47ALBeH/32qAOr19dDEi0RBBQ58BuEYiFJKqrNFRWNn9gx6qqzL/lzuzCw7BMjdI0AbOmrg4qjX+pCIQlvjugmnMP7sXQTERtF4mpriKheG1AMD5PbV1AR7VPjQ4aCKmme04b1MApWWoKwlF20Tkcl8sFAPD5fI2uU1dXBwBwu92t2sfy5ctx9dVXAwCeeeYZXHrppU2+Zu7cubj99ttTlrVHzXIgLOF0ReDyFHGAyzzn9nSfQfqKi+MDctVI1JQJHN1Pw6BeGnxB9X/d3kpVS+oPqVGsbRaBgYX10xj1ZOnnWUqpRjLnd9B2V1Co7oMR1bLhn/tUN82YXj96vMUION0iftE6tQvnwRodLruGoqKWzYLQowf4ovxgMwsM6iUyQvORfQ3oU8DQTESH5w/JZP/iuqAaoKbaJxGKN6OO6ok1JQwGAbNBNQ9rbMAaar4hQ4YAAMrKyhpdJ/FcYt2WeOONNzBt2jTouo6nn346GZqbwibX1NPYLQJDegtU+yQ+/y6Gr/bE4jVzElazgCM+KKuWbbhwShJCcEi+DmY1CfQtVOMf6XrrB1vrDhiWqV1lC82DSupDMwfXIaJQRMIbUGMkVPskDtSoJtSBiExOJZOYc9VtVwO55HNBnGujRo0CAFRUVGDHjh1ZR8TetGkTAGD06NEt2vaqVatw2WWXIRaL4cknn8S1117b9gMmynMF8WmuQhHE++syHFPXpAkBzZDro+hYDMvUIRqG5p2HdHxfrkLzUQzNRD1KTFfB2OsHavw6DlRLVPslAmEVjEW8n5vNLOB2tGz+SWofAwYMwNixY7Fx40YsW7YMd911V8rz69evR1lZGSwWC6ZMmdLs7a5evRpTp05FNBrFk08+ieuuu669D50ob2nxabaIKLcYlqlD2cwCA0viofmgjl2HdAyM1zS3dGJ2Iur6gmHVr67aL1FRq+OgV8KfmPoj3pTQZhYo9XT+SKTUuDvvvBMXXnghFi5ciLPOOitZg1xRUYEbb7wRAHDTTTfB4/EkX7Ny5UrMnTsX/fv3x7p161K2t2bNGlxyySWIRqN46qmnMHPmzM57M0RERO2EYZk6RaKmORiW2FWuapoLHQKDSjSUejSUuDtmQnsi6lj+UGK6JokD1Wr6El9IIqarqT/sZsDjECg1AYJNCbusCy64ALfccgsee+wxjBs3DpMnT4bD4cC6detQXV2N8ePHY/78+SmvqampwdatWxEMpg5Ve/DgQVx00UUIh8MYMGAAPv30U3z66adZ9/vII4+gpKSkw94XERFRWzAsU6eyxmuaI1FV+/R/O6IQmppIPhGcPXYBhwVsqk3UxSSmLqn2SVT71LyJVXUqHOtSjZzvsKpBP9jHuPtZtGgRxo8fjyVLluDTTz9FJBLBsGHDMGfOHNx2220wm5vXJtTv9yfnR969ezf+9Kc/Nbrufffdx7BMRERdFsMy5YTJKFDiVnM6R2JqovJ/7oxBiBgsJsBmESh2ChQ5NTitamJ0u1nAYuLIt0SdRdcl6oJAtV+F48TUJYGwmhvTYgYcFoECp6ifF5O6talTp2Lq1KnNWnfGjBmYMWNGxvIhQ4ZASk7XRURE3R/DMuWcyaCmQih2qS/nwQjiA4NJfLNPh4SqsbIYBewWNUqkx6HBHv+irvpAgs24idoopqsLV9V+ico6if1VOrwBiUAYACRsKVOX8O+NiIiI8hvDMnUpmqYCsd1S/0VcSolwVE2h4AtJVNRJxGIxSIjk5OcmgwrMTquaasZuEbCaBKwmwGxSQdtqYtNuoobC8e4QNfHBuPZXS/iCEsEwIDTAblFzGXPqEiIiIuqJGJapyxNCNb+2mACkTTMf01WQDkdVkK7ySUQOAoi3ABQaYDKoMG0yqBDe2yPQy62hyClSQjlRT1Djl9hfreNAtY7yWhWOw1E1GJfDEh+Mq4DdHYiIiIgYlqlbM2giPkcrkB6kAdWsOxwDojFVi1ZZJ7GnUkITAg6LQO8Cgb4FGopdAgUO9ruk/BSKSOyr0lFWoWNPhY66kOra4LQK9PJwJHoiIiKibBiWKa9pmoBVA5BWKx2LD1z0/SEd3+zTYTUBbrtA/yINJfFaZ6eVAYK6LyklDtZI7KnUsfOQjhq/hCZUn/9eHtYcExERETWFYZl6JIMm4LEDHrsKDMGIRF1A4ovvYwBisMdH4+5fpKHAIeCyqemsGDCoq4vpEvuqJL7ZH0NZhY5oVMJlFxhQzJYTRERERC3BsEwExAcDEygBoEsJfwg4UKNjV7kOTQNsZgGXVaC0QKAwHp5NBoFQVCIcUU28Q1EgFJbw1kQxOBqDx67W43yz1BkiMYk9FTq279Oxt0oHAJS4BWxmDsxFRERE1BoMy0RpNCHgtCLZDDumq6lzvAEdB2oAKdWgYQYNiMSAqK4aeAsAQgDemhi+q4rCbFJTW/X2CBS7NHjsqmk3a6ipKVKqeYyFyPxdicTig9pF4qPER4FASOLbA2rQLoMBKC1gP2QiIiKitmJYJmqCQUsNz4CqSdZ1wGRERtNWr1mDyy0QigD+sMT2/RJf76mvoXZagF4egQK7BjcDNDXgC0mUlev4Zl8MkZgKywmJX7OoHr9IE5WI6ICuKpFhMQH9ilWLByIiIiJqO4ZlolZoqtZOCAGrGbCaBYqcalmihrouJHGoTEKXjTfx9thZM9iTVPskvj8Uwzf7dVT5JBwWdSEmMQWalPXrJkaAN9kEjIbMizVERERE1D4Ylok6SbYa6piu+kcnmnjrEjAbVIAudgn0LVQjcxc6m64x1HWJYAQIhFUoD0bUfSCsw2PT4LSpUO60qlHCKbeklCivldhxMIYdByTqghIeBzCkt4DGVgZEREREOcewTJRDBk3AZQNcttQm3v4QsKdSx3cHdJiN6vl+RQK93BpcVoFwtD4M+0I6vH6gLqgGGQtHJSJRqE7UEtA0QNd1aEI11bVbBHq5BYqcGnp7VG02m4B3nmhMYn+1xHcH1GjVoYhEoVPDEDfPAxEREVFXwrBM1MWYjQJmo5oPF1DhtzYg8Z8yCSl1GI1ALKZqoQVUGDYbVbNdm1k14TYZMvtAN6x5/ma/RCSqw2YGSgs0DOmlobRA49zSHcgfUnMeb9+n42CNDiGAYpeA3cLRqomIiIi6IoZloi7ObFRNsotdquluJAYYDWhxU11NE7BbVM1ygj8ksa9Kx/eHdLisAv2LBQaVGFBawIGi2kM4KlFZJ7G/Ssd3B3VU1UnYLEDfQgET+6QTERERdWkMy0TdiBCq1rm92C0CdouALiVqA8C2vTq27dVR7BI4olTDgGIDPHaGuuaSUqIuCJTXqtrjPZWqVUBUBzx2YHAvwf7iRERERN0EwzIRQRMCHjvgsQtEYhJVdRL/2BaDwxLDoF4aBpUY0KdAwMja5hSJJvK1AQlvQOJAtURFrQ5/WE315LQBfQpYi0xERETUHTEsE1EKk0Ggt0dAulUt6ba9Orbt09HLJTA43re5yCl65JRFkZjEoRqJb8uiCO+JoNonEQhLhCMAhITFpKb+KvG0vJk8EREREXUtDMtElJUQ9SN1R6ISVT6JDd/EYDbGUOwUGFSiobdHQ7Erv4NzTFdTPO2P9+2u9El4q6MoLtaTU3xZTPn7/omIiIh6KoZlImqSyahqmwEgFJGo8ceDsyGGIqdAvyINhQ6BAocGt617z+Os6xL+MFAbkKisUwG5olYiHANcVqBvgUCByQC3h6NYExEREeUzhmUiahGLKTM4/9/OGKQEbGbAaRXoW6iaahc6BNz2rlnzHNMlQhEgFJUIhOLh2Kej3CvhC0oEIoCuA3YLUOJOrT0O5PC4iYiIiKhzMCwTUas1DM5SqnmcfUGJL3fFoOuA1Qy4rAJ9CgVKXBoKHAJuW8cPFKbrEqEoEIyoQBwIx+9DEnUh1Rc7EJaIxoBIVE3HpUvAoKnA77AKFLvRJUM+EREREXUOhmUiahdCCNjMgM0sUILU8PyfMomYrsNqAhw2gRKnQKFTg9Mq4LQCDouA1dyyYBqOSvhDKhAHwhLBMFAXVKNS1wYkIlEgHJMIRwFIQAKAAMwGNU+1ySBUmLcJmAzdu+k4EREREbU/hmUi6hANw3NCMKKaOH93UCK2T4cEYDICVpOA0yrgsalaXYtJzSdtNqp7XQL+kOpL7PXpqParoByJqRpkqaswrGmIvw4wmwScDMJERERE1EoMy0TUaawmAWvayNHhqKoVrvHrOOQFYjogZf3zRg3QofoPC0gYDCpAW0wCNot6zObSRERERNTeGJaJKKcStcduZAZeKSViOiAEAzERERERdS6GZSLqsoQQMBpyfRRERERE1BNxolAiIiIiIiKiNAzLRERERERERGkYlomIiIiIiIjSMCwTERERERERpWFYJiIiIiIiIkrDsExERERERESUhmGZiIiIiIiIKA3DMhEREQEAli9fjokTJ6KwsBAOhwMnnHACHnroIUQikRZtp6KiAs8//zxuvvlmnHrqqbDb7RBC4Mwzz+ygIyciImp/xlwfABEREeXerbfeikWLFsFoNGLSpElwOp344IMPMHv2bKxevRpr166FzWZr1rY+/vhj/OIXv+jgIyYiIupYrFkmIiLq4VatWoVFixbB6XRiw4YNePfdd7FixQps374dI0eOxPr163HPPfc0e3ulpaW47rrr8PTTT2Pjxo146qmnOvDoiYiIOgbDMhERUQ/34IMPAgDmzJmD0aNHJ5eXlJTgiSeeAAAsXrwYNTU1zdreD3/4Qzz11FOYOXMmxowZA4vF0v4HTURE1MEYlomIiHqwPXv2YOPGjQCAadOmZTw/YcIEDBw4EKFQCGvWrOnswyMiIsoZhmUiIqIebMuWLQCAoqIiDB06NOs6Y8aMSVmXiIioJ2BYJiIi6sF27NgBABg0aFCj6wwcODBlXSIiop6Ao2ETERH1YLW1tQAAh8PR6DpOpxMA4PV6O+WYACAUCiEUCqUss1gs7P9MRBl0KRGKAMEwEIyox6GIRDgKhKLx+wgQjUlEdSAaU7eYLhGJAboEdB2QMv5YqscSgCbUPkT8HwFA0wCDpp4zGgCDJmDQAKMGmAyAyShgMqjnTAbAbBSwmACLScBsBCwmwGpSywyJHVCXxLBMREREXc6CBQswb968lGWzZ8/GrFmz2rTdQFiirrYKJiMgw/ySmq9qvVW5PgRqo5gO+EKALyTgCwn4w0AgLOAPCfjij+sCQFTWIRQVkLLl+zBoEoZ48BVQ4VeI+vuERHBOPpZATKpjjOmArgu0YvcAAJNBwmoCrKbUe5tZwmYGbCZZ/9isnuuu+brOq0OLaKisNDX7NVVVmX/LRUVF7XlYh8WwTERE1IO5XC4AgM/na3Sduro6AIDb7e6UYwKAuXPn4vbbb09Z1h41y4GwhNMVgctTBJetm37jpGZxezrvCzW1jJQSgTBQ45eo8UtU+yS8AYnaAFAbUI/9ocbjpxCAwyJgMQMlDjNsZgGbCbCaBaxmVWtrNiJei1v/2GQQMBoStcGAJtrv/wBdV7XWkSgQiala7HD8cTiaWtsdjKgab1Ubrj6LQFiiwq/WOZzEe3dYBBxWwGlVj52Jx1YBl0393NVqrYPQ4bJrKCpqflgGOjccp2NYJiIi6sGGDBkCACgrK2t0ncRziXU7A5tcE3Vvui7hDQBVdRJVvvitTke1T4XkSCwzFAoBuKwChQ6BQSUaXFbAaRMpgdBuUYFYEwLeGh/cHlcO3l0mTRMwayqUK60LqjFdIhgG/GEJfwjwhSQCIQlfCPDH730hCV9QorwWiOl6o9uymeuDsysZogVcNsBlUz9bTYBox4sG+YZhmYiIqAcbNWoUAKCiogI7duzIOiL2pk2bACBlDmYiIiBeI1orUVlXf19Zp6PKJ5Ge4zQBeOwC/YsFPHYNHrtIuTms7Vvb2x0ZNPU5OKxNfw5SSoSigC8oURcE6oJS3QISdSFVS18XlPj+UOOh2qA1CM/xQO2yocHjnn1eGJaJiIh6sAEDBmDs2LHYuHEjli1bhrvuuivl+fXr16OsrAwWiwVTpkzJ0VESUa75QxLlXonyWonyWj35OL25tBBAgUPgiN4aCh0Chc7EvYDbpmpgqX0IIeL9nAWKD1PBLqVEMKLCc21QNXevC8iUnw/VSJSVZw/UQqgm3s4GTbwT4dppE6oFgFU1d8+3WmqGZSIioh7uzjvvxIUXXoiFCxfirLPOStYgV1RU4MYbbwQA3HTTTfB4PMnXrFy5EnPnzkX//v2xbt26nBw3EbW/UETikFfdyr26us8Sis1GgRKXwLBSDcUugSKnQLFLoMAhulxf2Z5OCBEfIEygt6fx9SJRFZ7rAoiH6ESgrq+l3l+tNzqYmskg4LTVB2unRdWQJ34ORiSsptYOhZYbDMtEREQ93AUXXIBbbrkFjz32GMaNG4fJkyfD4XBg3bp1qK6uxvjx4zF//vyU19TU1GDr1q0IBoNZtzlu3Ljk40OHDgEANm7cmLL8nnvuwdlnn90B74iImqLrqsn0wXgwPlSj46BXwuvPEordAkf20VDiFihxqXunNf9qEXs6k1Fd9ChyNr6OLiV8wfpaal8Q8YCtwnRtsPFa6kgMGD3UgAtONnfgu2hfDMtERESERYsWYfz48ViyZAk+/fRTRCIRDBs2DHPmzMFtt90Gs7llX242bNiQsczr9aYsT4RoIupYvqAKxAe9Og7WSByqUbXFMb0+GGsaUOzUcOwADb08Ar1cAr08Gtw2hmKqp4n6Ps6HE43V96P2xftS76uWGNpb66QjbR8My0RERAQAmDp1KqZOndqsdWfMmIEZM2Y0+rxszaSnRNQm0ZgKwYdqEjXGKhynN6F22QQG9xLo5Tagt0egl1s1oWbzaWovRoNAgUP1X084WKPDY2dYJiIiIiKiDqJLNTex6lec6GOso7JOpvQnNRlUCD6yj6ot7u3R0MstYDMzFBM1B8MyEREREVEXlAjF5bVqWqbkaNTe1CbUAFDoEDiyrwG93aqmuJdHDbbVU6f8IWoPDMtERERERDkUjEhUpcxTXP84PRQnmlCXuA3o5RLxQbcETEaGYqL2xrBMRERERNSBpJTwh4Bqv6oprvZJVMXvK+sy+xQDgMdeH4pLXKo5dbFLwGpiKCbqLAzLRERERERtEI6q0X7rAoA3INXNn7gHavwSkVhmILaaBIpcAkeUavEpe9St0ClgMjAUE+UawzIRERERUZwuJcJRIBQBgmGJQBjwhyUCofrH/hCS0+HUBZE1CANqRGC3DehXJFDo0FDgUP2ICx0CHgdriYm6OoZlIiIiom5KSomYDkRiQDQGxHQ1fVBima4DUV39rOtATKp7Xap1pVThUN2rn6UEZHL78fu0/SYiXmLsKCHUssTPWoPlmhApzydvifWEuk/ZZsOfE//I1OOQqD9ePe2+rk6DuTyKmI7kLRoDdF0iHAMiUfX5hKMS0Rji4VgiFL9vDptZwGEVGFAMOKwanFYBp1X1KXbbBDx2AZuZcxQTdWcMy0RERESdpGGtZSKchZP3QDgmEY5A/RxV60aiMh7sVMgLx1TAi0RVEOaU1pliMRMMhuhh1xFCTa1kNgImA2C3CBQ6AYtJg9UEWEwCFhNgN6vQa7ek3nNOYqL8x7BMRERE1Ey6VGE2GA+7wYgayTgUvw+G65eHksvrl4WjLU+2mgDMRgGTETAbVXgzGQGjBpiMGkwG9dhoUM1+DfHHBk0tN2hqmaapZZpI3AuI+M8Na3qFqK8ZTkivHG0Y0GWDnxO1u4nHDWt/pQT0ePWwnuW59O0ktp2oUU7WMCO1FjpxvIl7TQABfwBut6fBZ6A+B/UZqc9RvYaBl4gax7BMREREPYaUqpa2Ligzw244EXLjwTcRcsOpPzeXpqkBnCymLLWWxvqaS4tJ1W6qm1pmNtYvYw1my3lrJNweLdeHQUTdXJcIy8uXL8eSJUvwxRdfIBwOY/jw4bjiiitw2223wWQytXh7n3/+ORYuXIi//e1vqKmpQd++fXHOOefgnnvuQe/evTvgHRAREVF3MG95EBu2WmAwhmFoRpaymASsJhV6Cxz1Yddqrl9uMSHZbDfxnMWkajRZc0lE1H3lPCzfeuutWLRoEYxGIyZNmgSn04kPPvgAs2fPxurVq7F27VrYbLZmb+/Pf/4zLr/8ckSjUYwdOxZDhw7Fpk2bsHjxYixfvhzr16/H8OHDO/AddU26LhHV6we0iMZkcjCQaIPBQBI/q8E/4gOCNBgMJKVpVYMmUomvAlqDQTk0oa6qJ5p7GTSRbAJm1FT/IKNRwGSIPzbEr6gb1WN+wSAiovY2cpAB5VUxFLgt8Njra3atWe7NJtVUmYiIeqachuVVq1Zh0aJFcDqd+OijjzB69GgAQHl5OSZNmoT169fjnnvuwSOPPNKs7e3duxfTp09HNBrF008/jZkzZwIAYrEYZsyYgZdeegnTpk3Dhg0bunwQi+mpA4CEY6kDgISiEpFo5gAg4Wh8AJCYTBkIRNdz/Y5aRgjAYhQwm9R94qq9zSxgjQ+0YTXVD7ThsKjnbBZ+sSEiosZdPM6MiD+KomIjXDaWF0RE1LichuUHH3wQADBnzpxkUAaAkpISPPHEEzjttNOwePFi3HPPPfB4PE1u7w9/+AP8fj/OPPPMZFAGAIPBgCeffBKrV6/Gxo0bsXbtWvz0pz9t/zd0GNv3xfDlbg3+WAxWk45QVPWPSkxVEI4iuSwUUWG5pQxagwFADGr6AjXCo4ApXoNrNMR/NiA5yIVBE2rwC0P9gCAGTSQHyWg4GEhiIA0AEBApA36owTlkykAdDaeniDWYviIWq5/mIpIY1TNWH/xD8UFQQvELA7461ZesOR+LzSzgsAg4rIDTqqZ1cFoBh0XAaRVw2dRys5FfkoiIiIiIKLucheU9e/Zg48aNAIBp06ZlPD9hwgQMHDgQZWVlWLNmDS6//PImt7ly5cpGt+d0OnHeeefhxRdfxBtvvNHpYXnD9hj+ttUEHTGYDPXLEzWoiWZgDosKuBaTBosRMJtUs2SzsbsMANJxx5AYlCUQVsE5EAECIQl/SMIfBvwhCV8ICIQlfEGJfVVAONp4lbrFJOCKh+fEnIhuu7p32QC3TV1kICIiIiKinidnYXnLli0AgKKiIgwdOjTrOmPGjEFZWRm2bNnSZFiura3FN998k3xdY9t78cUXk/vuTJOOM6KyKgyYXOhXpCXDLgf/aD4h6i8MeOzN+8wiURWg64IyeasNIH4vURuUKKsAorHsodpmVgHaYxfw2KDCdOJnu+rTxvNHRERERJR/chaWd+zYAQAYNGhQo+sMHDgwZd3D2blzZ/JxY9tsyfbaW78iDQOKJEJCQ5GTUxl0FpNRoMAIFDgaD7RSqulAvH4VoL0BwBuQ8PolvAGJGr/EwRo9ZU7JBLMxEZyRDNEmqaGvrqPAwTBNRERERNRd5Sws19bWAgAcDkej6zidTgCA1+tt9vYOt83mbi8UCiEUCqUss1gssFgsTR4HdT9CqIHCbGaB0oLs68R0ibogUONXIbqmwc3rl/juYP0garGYCQZDGIAK0267QEGDMN3wZjMzTBMRERERdUU5nzqqK1qwYAHmzZuXsmz27NmYNWtWm7Zb661CWOiwCdYsd0cCQIEJKPAASBtvTpeAPwR4AwIHKn2IChe8QYHagIA3ILC9WmQdnMxokHBbAZdVwmWVcFol3DZ177JKOCxo1jyg1LlqvVW5PgRqAX9QIhAGKitNCFmad3Gqqir7OS4qKmrPQyMiIqIuLGdh2eVyAQB8Pl+j69TV1QEA3G53s7eX2Ga20bObu725c+fi9ttvT1nWHjXLLncEIVEAt4fpJx8VAOgHoF+hhDvt90+XEr54zXS22z4vsLs6M00LgfgI3vEByGz1A5I5repnh7WrDO7Ws7g9DE3dhcEiYQgBRUUmOJoZlgEGYyIiop4uZ2F5yJAhAICysrJG10k8l1j3cAYPHpx8vGvXLowcObLV22OTa2pvmqgPuQOKM5+XUsZrpuPNvAMStX6JmoDqS13tk9hb2fjI3g6LgNOmpshyWkXy5rACTotIzkXN0b2po0ippnbT41PHxXR1r8v6KeR0qborNJxWLrGORIPHUm0v/bmUG1IfJ14HNHh9/HEooqa/A0y5+XCIiIioW8pZWB41ahQAoKKiAjt27Mg6IvamTZsAIGUO5sa43W4MHz4c33zzDTZt2pQ1LLdke0SdSQgVbB1Wgb6F2deJxlS/aW9Aoi6gBh9LjO5dG1TLyr1qHuvGmI0CdosK13ZLfV9tuyV+bwasZrXcahKwmllrnWuJEBrT1bzk9fcS0fhjveEc5g3WU7cGy/XUdXW94Xr16yYCbuJxTFchNyZT505vGIKzDYDXVeg6UOTi7zERERG1TM7C8oABAzB27Fhs3LgRy5Ytw1133ZXy/Pr161FWVgaLxYIpU6Y0a5sXXnghHn74YSxbtgy/+MUvUp6rq6vD6tWrAQAXXXRR+7wJok5kNAgUOJo3sreaJguoC0j44vNPq3moVQ12lU9ib1X2Eb7TmQwqNFvic34n5ve2mNQc4WYjYIrP/W0yxB8bBExGwGhQ06MZDUI9jv+saaq2vStK1H4mAmHDIJkIkDU1AtURXS2PpYZRFVbTlsXiATWWuk7949TXRdPW6wxCqHNi0JC8aSJ+r6lWCRahHhtE4hyq54XQoKUt04S6ifi9pon6xw2Wi7THmhBZlsVncG/wWGjx+8Q2AAio10IAWnx9ATUv+2GmXCciIiLKKqcDfN1555248MILsXDhQpx11lnJGt+KigrceOONAICbbroppf/xypUrMXfuXPTv3x/r1q1L2d6tt96KJUuW4P3338czzzyDa6+9FgAQi8Vw4403orq6GmPHjsVPfvKTTnqHRJ2r4cjevZro6q9LiVAECIRVgA6GJfxh9XMwon5OuY9IVPuAcBSIHK76uplUqBIqfGmJ0FUfpjShnksEovr3WB+OANUEF7L+cUpTXKjQiwa1nw2bCuvpNaXNrCGNxczJEc9b/f41wKipcJq4iGDQBMxmJJepe03daw2XiwbPq/BqMIjkOgZD4jNtsEyrX2ZIW9aVL160B19Q/Y4TERERtUROw/IFF1yAW265BY899hjGjRuHyZMnw+FwYN26daiursb48eMxf/78lNfU1NRg69atCAaDGdvr168fnn/+eVx++eWYOXMmli5diiFDhmDjxo347rvvUFpaimXLlnGqHiKocJQI1kXOlr1W1yVCURWcQxGJSAyIRIFwTKr7qKoRjcTqa0mjMZnWPLhBs994DWxqmFWvT0zJlQi/iccNpf9JZ6uN1ISAZkir2WxQA6pCo5ZSM5oeMBPBPhwMwem0JJc3DKRGQ2oYzRpu8zycEhEREeWDnE8dtWjRIowfPx5LlizBp59+ikgkgmHDhmHOnDm47bbbYDabW7S9Sy+9FEcccQQefPBBfPzxx9iyZQv69u2LX/3qV7jnnntQWlraQe+EqOfQtETQBurreHsOb00Mbk/O//skIiIiog4kpOzKw7Lklzc+PoCQKEBpAaeOymfemkpOK5TneI67l0Qz7HPGNH/qqMrKSk4dlacCYYlXPziAouIiuGw972JfT8H/p3sGnufu5WCNDo9dw1mjmj87Ra7LY6Y2IiIiIiIiojQMy0RERERERERpGJaJiIiIiIiI0jAsExEREREREaVhWCYiIiIiIiJKw7BMREREAIDly5dj4sSJKCwshMPhwAknnICHHnoIkUikVdv7/PPPcemll6K0tBRWqxVDhw7FzTffjIMHD7bzkRMREbU/hmUiIiLCrbfeiqlTp+KTTz7BySefjJ/97GfYtWsXZs+ejUmTJiEQCLRoe3/+858xbtw4/PnPf8bgwYNx/vnnQ9M0LF68GMcffzy++eabDnonRERE7YNhmYiIqIdbtWoVFi1aBKfTiQ0bNuDdd9/FihUrsH37dowcORLr16/HPffc0+zt7d27F9OnT0c0GsXTTz+Nzz77DK+99hq2bduGK6+8EgcOHMC0adMgpezAd0VERNQ2DMtEREQ93IMPPggAmDNnDkaPHp1cXlJSgieeeAIAsHjxYtTU1DRre3/4wx/g9/tx5plnYubMmcnlBoMBTz75JDweDzZu3Ii1a9e247sgIiJqXwzLREREPdiePXuwceNGAMC0adMynp8wYQIGDhyIUCiENWvWNGubK1eubHR7TqcT5513HgDgjTfeaO1hExERdTiGZSIioh5sy5YtAICioiIMHTo06zpjxoxJWfdwamtrk/2RE69ry/aIiIhyhWGZiIioB9uxYwcAYNCgQY2uM3DgwJR1D2fnzp3Jx41tsyXbIyIiyhVjrg+AiIiIcqe2thYA4HA4Gl3H6XQCALxeb7O3d7htNmd7oVAIoVAoZZnFYoHFYmnyGIiIiNoDwzIRERF1OQsWLMC8efNSls2ePRuzZs1q03YDYYm62iqYjIAMizZti7quWm9Vrg+BOgHPc/dS59WhRTRUVpqa/ZqqqsxzXFRU1J6HdVgMy0RERD2Yy+UCAPh8vkbXqaurAwC43e5mby+xTY/H06rtzZ07F7fffnvKsvaoWQ6EJZyuCFyeIrhsDMv5zO3pvC/UlDs8z91HEDpcdg1FRc0Py0DnhuN0DMtEREQ92JAhQwAAZWVlja6TeC6x7uEMHjw4+XjXrl0YOXJkq7bHJtdERJRrHOCLiIioBxs1ahQAoKKiotEBtzZt2gQAKXMwN8btdmP48OEpr2vL9oiIiHKFYZmIiKgHGzBgAMaOHQsAWLZsWcbz69evR1lZGSwWC6ZMmdKsbV544YWNbq+urg6rV68GAFx00UWtPWwiIqIOx7BMRETUw915550AgIULF2Lz5s3J5RUVFbjxxhsBADfddFNK/+OVK1fimGOOweTJkzO2d+utt8Jut+P999/HM888k1wei8Vw4403orq6GmPHjsVPfvKTjnpLREREbcawTERE1MNdcMEFuOWWW1BXV4dx48bhrLPOwiWXXILhw4fjyy+/xPjx4zF//vyU19TU1GDr1q349ttvM7bXr18/PP/88zAYDJg5cybGjRuHyy67DEcddRRefPFFlJaWYtmyZRCCA2wREVHXxbBMREREWLRoEV577TX88Ic/xKeffoo1a9ZgwIABWLhwIT744APYbLYWbe/SSy/Fhg0bcNFFF+G7777DypUrEYvF8Ktf/QpffPFFsl8zERFRVyWklDLXB9FTvPHxAYREAUoLeI0in3lrKjmNQZ7jOe5efEEJfwg4Z4wJDkvzajIrKytzOlUFdZxAWOLVDw6gqJhTR+Uz/j/dM/A8dy8Ha3R47BrOGtX8qaNyXR5z6igiIiIiIsprupSIxlKXifg/mgAMGi+eUSaGZSIiIiIiyhu6lAhFVEsSfwiIxgAhALMBSDSplfF/JABdB3Spw24RcNkEbOb2C851QYlqn4TeYMcNm/U6LIDbLmA2tmyfkahEKAqEIuq9CgEYDYDJIGA0AEZN/WzQwPEh2oBhmYiIiIiIuq1ITIVif0giHAEgAKsJsJkFhvYWKHFpcNkE7BZVm5zMrVLdQlGg3Ktjd4WOap/E/moJkwFw2wScVkBrYa1zTFcB2esH7BZgSC8NdouAEPUDRgkBRHVgb6WOgzUSkaiEw6r2aY2H9ZguEY4CoQgQjofjWEy9B4MBsJgEbCaB3m4BHUAgJBGMAMEwEI1JRGJATAcEJGSDN65pgMsqUOhkiG4KwzIREREREXULUqpA6A9JHKjQYQ/qMBoAm0Wg1KOhT4GAx67CsdMKGA3NC4T9izSMHCRR7ZeoqJXYW6XjYLVEWYWEgITTBrhsAqbDbC8YkaisVQG30CkwdpiGgb00FDoaH68oOkTt75BXx65yHVV1EqGIVM3DNcBiBMxG9Z4KHIDHrsFuBhxWAbtFwGZKDfMxXcbDtQrYkZiqhY7qqoY9EgUCYR07D0nsPBhD30INFhNDc2MYlomIiIiIqEvSpUQgBPhCEoEwIHXAEg+LR/bRcMRAI9x2AU+DGtnW0jSBIqdAkRM4sq8BvpAKsvurY9hdIbGvSkLqEhazarodiSGlWbXJCJR6NAwr1dC/SGvW8RgNAqUFAqUFGo4dIFHlU/s0GqDCsFnAZkazm2kbNFWDbrcA8V7Z2dbC8L46vvw+hh0HdVhMEr08Ahqba2dgWCYiIiIioi4jpqsmzLUB1dfXblb9eo/qq6HQKVBgF3DbBWqqTSgqMnTYcTgsAg6LwKASDScOkSj3qhrggzUSVjPgtAhYzAIWo2oSbTEBRU7R6sHCNE2g2CVQ7GrnN5JFkVPDhB8IDCjW8c9dMXx/UKK3R12EoHoMy0RERERElFPhqITXL+ELSgihBto6ur+GvgUail0anNbcDlRlNgr0KxLoV5Q/U8AaNIFhfQwoLdDw77Iotu3TUV4r4bELuG0t76udjxiWiYiIiIgoJ+qCElV1qiFzkVPgyL4G9PZoKHEJ9qXtJE6rwMnDjRhYLLHzUAx7KiV2lUtoQsLjEHC1YpCzfMGwTEREREREnUbX1UBaNX7VxPqIUg1HlBpQ6hHNHpCL2pcQ9TXn/pDEwRode6t07KlQwdmgSbjtAi4belTfZoZlIiIiIiLqMDFdIhhWo0UHwmpE5kKnwElDNQzqpaHImT9Nm/OB3SIwpLcBQ3qrQc4O1ujYU6FjX5VE2SEJzSBRYBdwWPM/ODMsExERERFRu4jpas5jX0hNYSSlmgLJZlKjVfcpEOhToEaLtlvyO2jlA4dFYGhvA4b2NqAuqILz7god+6rVgGcmo+rjnK/BmWGZiIiIiIhaJRGO64IqHGtC1Uz2dmvo5VYDdTksQs0LbO65fV/zgdMq4LQacESpCs4HqnWUVeg4UJ2Y7ir/gjPDMhERERERNVskJlEbkKgNAJBquqFSj4Y+BQKFTg0FDhWQKX85rQLOPgYM62NAbSBe41ypY3+8xtlskujtFjA1c37orophmYiIiIiIGiWlRDiq5j2uC0pomoDHLnDcQA19CjQUuRiOezKXTcBlSw3O3x3QsadSh9Eg0csjYOqmA7cxLBMRERER9RC6lIhEgXBU/awJ1adYCPVYAAhFgVB8MK5oDJAALEbAYxc4KjG1k1vA3M1rDan9JYLz4F4adlfo+HqPjr2VOsxGmetDaxWGZSIiIiKiPKLrEuEY4qFY9SWORFXoFQIwG5AMurpUAVpK9VhK9ZzdItCvUDWrdloFHBYVljm1EzWH0aBG1O5frKGsXMdXe2LYW6mjyJnrI2sZhmUiIiIiom5C1yUiMSASU7W+kZiqKY7GgJgENAAQgNkImA0CFpNAL7dAoUMFYLtFDbRlM6vQG5OArgMxXYVmXQesZg7GRe3DZBA4otSAAcUadpXriMW6Vw0zwzIRERERUY5JKZMBOBwForH6UKzrEgIquAoNMGmA0ShgMgAuq+ov7IyPOm0xqSBsManpmiwmQDR7ZGKGY+oYZqPA8D6GXB9GizEsExERERF1EF1KxGJAVK+vCY42qBmW8Yo2IQCjQQVhs0kFX3u8+bPdosFiVIHDYlL9h80mAYsRbBZN1IEYlomIiIiI0ui6RDTRPFlX/X11PbOPb2JZ4ueYDrVyA0ZD/KapqXRc8RDssAhY47XAFpOANX5vMaHbjh5MlE8YlomIiIiox9GlGvgqGAaCETU1EmR9ztU0wKgBBg3QhFAjRYvEcgGDpmp1TQbAEK8RNhoAi1HAYlbLzUYBsxHJxyoEsy8wUXfBsExEREREXZKUMtl8uWET5mi8WbOuq162EvH7+A8+rw5HSE9sBUKocGvQEn2A1TM2s6rJ7VuoodCuQq7ZWB9yzUYVjLX4a1VwVvfN7wdMRN0VwzIRERER5UxMl8na3VBEhVnZoBmz0aBqY42amrbIYRewmQG7BbCZNRjjATZR66sJoKbaCE+BEZEoENGBSEQiGJUIRgC7GSiwa3BYBZxWAaeV/X6JKDuGZSIiIiLqNJGoRHmtCsaACrhWI2C1qCmOPLb6frz1A1rV1/Q2pwlzpcmAoqLuN/IuEXUtDMtERERE1OF0XYVkXwgYUKihb5Gq2XVYBBxWzutLRF0PwzIRERERdahqn0RlrUSJW+CkIwwY0lvjaM9E1OUxLBMRERFRq+i6RG0Q8IckNJGYIik+UrSmplI6VKPDbtEwZpgBR/UzwG5hSCai7oFhmYiIiIiaLaZLeP1AbUBCl4DLKtCnQEMspgbpiupqOqZoTI3SdVQ/A34wwIAip5bjIyciahmGZSIiIiI6rEhMwuuXqAuoUafddoFjBmjoW2BAiVv1O264biQKhKNq6qcCh+A0S0TULTEsExEREVGGRECuDUhomoDHLnD8EA2lHg293AIWU/YAbDIImAxqaic1+zERUffEsExEREREAIBwVAVkX1BCaAIFdoEThxjQp0BDiVvAbGT4JaKeg2GZiIiIqAcLhiW8AQlfEDAZgQK7wJF9DSj1MCATUc/GkRaIiIh6uNraWtx55504+uijYbPZUFJSgrPPPhsffPBBq7a3efNmPPLII7j88stx1FFHQdM0CCHw0ksvtfORU0tFoqpZ9SGvjrIKHTsO6Kiqk3DbBE450oCfnmDClNEmjBpqRL8ijUGZiHo01iwTERH1YAcPHsRpp52Gbdu2oW/fvjj33HNx4MABvPPOO3jnnXewaNEi3HzzzS3a5v33348333yzg46YmkvXJXwhoC4oEY6oZUYDYDUJOK0Cg0sECh2q9rjQIaBpDMZERA0xLBMREfVgM2fOxLZt2zB58mS89dZbsNvtAIA1a9bgvPPOw6233oozzjgDxx9/fLO3OW7cOIwYMQKjR4/GqFGjcPXVV+Ojjz7qqLdAcVJKBMIqHPtDEgICDqtAqUdD30INDgvgtKplVhM4QjURURMYlinnpJSQACCh7huhCRbsRETt6T//+Q/efPNNGAwGLF26NBmUAWDKlCmYMWMGli5digULFuCVV15p9nbnzJnTEYdLh1Hjl6iolXBYAI9d4Af9DSh2aSh0pk7rREREzcewTK3WcB7FSEwipgO6DsSkupdSTRghUX+PtMeJnyHUvI3Jn7PQdUCmvFJCCDU9hdkImIxC3RsAo4FfDIiImrJy5UoAwPjx4zF48OCM56dNm4alS5di9erViEQiMJlMnX2I1ARfUPU/tpkFRg014IhSDQV2zmtMRNQeGJbpsGK6RDAMhKLqPhJVyyVUvyezATCbBFxWNd9iIqxajAJGo4BBAwwC0DRVM6zuRbyWGMl7IRqE5izHIQHEYkBUB6LxkB7RgVBEoi6gRvEMRQBvWCIcVccNqP1ZTYDFJGAxAmaT2j8REQFbtmwBAIwZMybr84nlPp8P27dvx7HHHttpx0aHF4xIHKyWMBqAY/obcEx/A4qcHLeViKg9MSwTAECXKmwGwioUhyMSECrsWoyA1SzQv1ig0C5gtwjYzAJWM2AzC1hMgKkL1OSG44E+EFHvxR+S8AZ0VNYCvpBElU8FaSklDBpgM6v3ZTMDBg5qQkQ90I4dOwAAgwYNyvq82+2G2+2G1+vFjh07GJa7gGBE4pBX9Vsa3EvDDwYYUOphTTIRUUdgWO6mdCkRjakm0OFofXPomIzX4DaotU3cy3gLZgn1WEokm05DqBpYq0lgYLFAsVuD3Qw4rKqvk92MLj9KpjneDNudUjdtAKA+I19IzSHpC0pU+nSUeyX8IaCyTkLXJTQNsJsBu0VdCGANNBHlu9raWgCAw+FodB2n0wmv1wuv19tZhwUACIVCCIVCKcssFgssFkunHkdX4Q9JlHtVWTWgSMNRfQ3oX8QRrImIOhLDchemS1UTGo6osBeK1jeDFkI1dzYZBcwGgQK3gNuuanijMSCqqzAdiQHRaH2/YU1TNyHUJNtWM1Bg1+C0qWkknNb8rGVVQVqgMPl90AAp66fUqA1IVNbpOFijHh+sAQQkzCYVnh0W9oMmoq5l1qxZeOutt1r8umeffRYTJkzogCNqXwsWLMC8efNSls2ePRuzZs1q03YDYYm62iqYjIAMd/3/1+sCElV1OswmgQFFGob0VjXJmiZQXZ3ro+u6qqqqcn0I1Al4nvNftnNcVFTUaftnWO4iZLwZtD+spn0IR1W4tZhU0HNYBPoVCrjt6nGi+bDVpKZ/4JXllhNCXRxwWgX6FACAAbouURsEvH6JmoDEgWodlXUSe6skYjEVnh3x8Gwy8jMnotzZu3cvtm7d2uLX1dXVJR+7XC4Aqk9yU+u73e4W76st5s6di9tvvz1lWXvULAfCEk5XBC5PEVy2rvn/eDgqUe1TraEcVmDsYA3DSg0ocbG5dUt05hdqyh2e5/yXy3PMsJwDulR9a4MRFYwTNb9Wk+pDO7hEoMStwW1TocxuUc2LWUB2PE0T8NjVtBsDARw30IBgWKLGr764HKjRccgrcaBGIhKVMBkTc1Z2jX7bRNRzvPTSS3jppZfatI0hQ4Zg8+bN2LVrV9bnGza/HjJkSJv21VI9rcl1TFdlTa1fQtMEil0CIwdp6FekodDBgbuIiHKBYbmTeQNqBGeLCbBZVDAudmlw2QRcNsBlFWzu28VYzaomv7QAOLq/AeGoGiys2idxsFrHQa/E/iqJaEydVz0k4XDJvGzOTkT5ZfTo0XjjjTewadOmrM8nljscDhx11FGdeWg9gi4l6gJqjuSYDhQ4BI4fYkD/Ig0lLn4fICLKNYblTnREbw0jXEY4rWqqJUee9g/Od2ajQKlHoNQDHN3PgFBEBecqn8S+Kh079wB7KiR0KWE1q5pnu4UDhhFR13PBBRfg7rvvxieffIJdu3ZljIq9bNkyAMC5557LOZbbSWK8jGqfGpzTZRM4sq+G/kUG9ClQ0zASEVHXwLDciQb1MqCoyJDrw6B2ZjEJlBaomudj+huwp8QEYTahsk7H3iqJqjo1gqmAhM2iwrPN3DWb1eu66hpgMXFAM2qclPUDCKq5zJv+XZFSjT4fjMisI/MLgeRc7RYjx2HoLCNGjMD555+PN998E9dccw3eeust2Gw2AMA777yD559/HpqmYe7cuRmvveqqq/DZZ5/hpptuwk033dTZh97t+EOqmXUgDDgswMBiDYN7aejt0eC08vediKgrYlgmamc2s0BRkepnNmKgqkGorJOoqNWxr0pHjT8+2raQcFjU9FxWU27Cs5QSwQhQG5DwhyQEVJCvqFP95yxGdXz5Oko6NU6XEuEIEIqqriPhKBCN1T9vNABmg5p+LhjvWqIGIKz/XU7UoHn9agBDu0UNkCcEYBCA0ERymrtITA285PWrkf91XV1g0gwCRk2N/m80CBgNgFFT++cFnfbxv//7v/jPf/6D999/H8OGDcNpp52GgwcP4qOPPoKUEosWLcLxxx+f8bpdu3Zh69atKC8vz3ju7bffxvz585M//+c//wEA3HfffVi8eHFy+T/+8Y8OeEddRyIgB8Pq97/Uo2FgiYZSj4YCB39/iYi6OoZlog7UcMTtQSUaThisRtuuqtNRUSext1JHjU9ifxjQtM4Jz9GYRG0AqA1KxGLqC5zbJnBMP0NyYDlfSDUt31eto8IrsadCIibV8RU6BEcCzyMxXQXZQFjdhxPT06F+NH63TUOBHXDZNFjN6oKQxaTuQxHVcqKsQke5V0e5FzBoEiIegO1moG+hhkElGnq5NXjsjf9uh6Oq1i0QVhdvAmGgNqDDHwYCIRWig2H1O5yYIq8hQzJEqwH3DPGQHdM7+EPs5nr37o1NmzZhwYIFWLFiBd588004HA789Kc/xW9+8xtMnjy5xds8dOgQNmzYkLH822+/xbffftseh90lSal+b2v8EqEwYLMAvdwaBpdo6O0RKHBwNGsiou5ESCll06tRe6isrOTw9j1AS86zHh/9tMonUVErsb9aR21A1UIIrb4mzmpufZ/nxJe32oC61zQVjvsUCPQp0FDoFPDYRKPNXv3x4FxZp2PHQTWVVmIgGretZzaX9dZUwu3pfn/LDcNoKKyaQWsaYDUCVotAoV2g0Kmmp7OZBewW1d/e3IyLI1JKeANARa2OvZU6IjFgQLFqYuq2tc/Fn2gsPvd8VL2XxH0kCoRjQCCswxdSwToYUTXhiWDttgv85AQT7JbmHQf/v85fgbDEqx8cQFFx+0wdpUs1xVONXyYvEJW41AUiBuTc4d9wz8DznP9yfY5zWrNcW1ubvJK9a9cuOBwOnHLKKbjjjjswadKkFm3L7/fjgw8+wF/+8hd8/PHH+O677xAKhVBaWorx48fj5ptvxvjx4zvonRC1jqapcFLoBI4oVbV83oDq51xZp+Z59gbizbahw2IWsMdr9UzG7AE6EY79IdVHVJeAzQwUODSMHKRGXy92iWYFIADxwCTQr0jD0f0lDtVI7K6MYdchiV3lEkaDRIEjtfkttY9IVIW+UETdx2ISgIDBoGpMTUZVg2qKD4Wgy/hNTzxWtcWhiASkgMkE2M0Cvd3qd8BtE3BYRXLu8LZc+BAiMe2aAUeUdszYDIlm2HYLoOq+09XvN6arMB2KAJGYhC7R7KBM1JRITI1iXRdUFw8dVoGBxRoGFDfdgoKIiLqPnNUsHzx4EKeddhq2bduGvn37YsKECThw4AA+/vhjAMCiRYtw8803N3t7zz77LK699loAwODBg3HiiSfCaDTiiy++wDfffAMhBObPn4+77rqrQ95Pc+T6ygh1jvY8z7ouURevsaj26dhfLVHtlwhHVA1GohWqyaiaoAbDEhIC9vgo3KUFAiWupmuPW8MfUjXh3x/ScaBahy+sBmby2FVtZD5/UWzvmmUp65sY+0NqDm8pBYxGNXiWzQwUOwU8Dg3RmIQvqH4v/GFVq5pojiygAq8Q6vdBE2qk3d5uEZ+eTt2ae6GkJ+P/1/mrNTXLDVvo+MPq7yvRQqdvoQrIHKSra+HfcM/A85z/cn2Oc1azPHPmTGzbtg2TJ0/GW2+9BbvdDgBYs2YNzjvvPNx6660444wzsg4qko3JZMLVV1+Nm266CaNGjUoul1Li97//Pe644w7cfffdmDBhAs4444wOeU9E7U3TBNx21YR0YImGkYNVIA6EU/t21vhVzWMvt0ChU/U77ugm0naLwBGlBgztrcEbAA7W6NhVruNgjY6DNYDFpKbOMjUYlMlgaF5z8kStYDiqalc1DbAYVXP0fBhoLBSpP3/hiLrAYTGqudf7x2umnPH+66pJdPaLD7ou4wNwISUgGzTVvNogemYzeaL2EIyoC1O+oGqtYbMARfEWOiVuDUVOXngiIsp3OalZ/s9//oMRI0bAYDDg22+/xeDBg1Oe/+Uvf4mlS5fisssuwyuvvNIu+zzzzDOxbt06XHPNNXj22WfbZZstlesrI9Q5evJ5llKixl8fnGsD9QMxqf6j8fUAQABCxh+jvlGthAp75ngTY4sJiEkgGJIIRtWXVgFVm24xqXXMRrV+ZwXD5tYsNwz9yX7CEjCb1MUGj13V+rrtGlw2VQts4gjPXUJP/jvOd43VLIejKhjXhSSiUcBqApw2gb6FqoVOkZPNq7sT/g33DDzP+S/X5zgnNcsrV64EAIwfPz4jKAPAtGnTsHTpUqxevRqRSAQmk6nN+xw1ahTWrVuHsrKyNm+LiLITQqDAARQ4DDiqnwG6nn1ApkTfWpl2b9QAa7xPdqL5scmgnveHoWp5Qqq2p7JO9e8ORlTT5XBM1bRKqNrV9CmGjFp9jWtiuqLmhmspZfIYdalqhv0h1VdR3eofR6JqHQE1SJslHvp7u9VgPy6b6ivM5tBEuRWOqoEVfSF1Ec5kUK05juyjWncUOdUFLU5RRkTUc+UkLG/ZsgUAMGbMmKzPJ5b7fD5s374dxx57bJv3uX37dgBA375927wtImoeTVNNp61mIPuATM0jBJJTcDUkpYzX2qomk4npjwIhCX+4fqCzSAzwR1SoTQ6AhfoQfLgjk6gPvlr83u+TkEYJg5YYbEvAGZ/yS801rB6rKZaaP6I0EXU8AXURLRwBHDaBo4tFfFAuFY75t0pERAk5Ccs7duwAAAwaNCjr8263G263G16vFzt27GhzWP7yyy/x9ttvAwAuvvjiNm2LiLoOIVQttMUENBZ5pZSI6on+z2qE6JiuAnM0fh/TZdamlULU10I3rJWuqTahdy9zsh+2UWPTTKLuwmoWOGmYEX16m+C2seaYiIgal5OwXFtbCwBwOByNruN0OuH1euH1etu0r7q6OkybNg3RaBQ//elPce655zb5mlAohFAolLLMYrHAYrG06ViIqPMJoaZWMhkANDrlUAu3GeHIt0TdWZ8C1QeZiIjocFoclmfNmoW33nqrxTt69tlnMWHChBa/ri0ikQguvfRS/Otf/8IRRxyBF198sVmvW7BgAebNm5eybPbs2Zg1a1abjqeqqqpNr6fugec5//Ec57/GzjEHkiEiIuo5WhyW9+7di61bt7Z4R3V1dcnHLpcLgOqT3NT6bre7xfsCgGg0issuuwx/+ctfMHjwYHzwwQfo1atXs147d+5c3H777SnL2qtmmV+0egae5/zHc5z/eI6JiIh6tha3QXrppZfig+K07Pazn/0suY0hQ4YAAHbt2pV1Hw2bXyfWbYlYLIYrrrgCb7zxBgYOHIgPP/ww66jbjbFYLMl+04kbm2ATERERERH1HDnpsDN69GgAwKZNm7I+n1jucDhw1FFHtWjbsVgMV155JV5//fVkUB46dGjbDpiIiIiIiIh6lJyE5QsuuAAA8Mknn2StXV62bBkA4Nxzz23RHMu6ruOqq67Cq6++mgzKw4YNa5djJiIiIiIiop4jJ2F5xIgROP/88xGLxXDNNdcgEAgkn3vnnXfw/PPPQ9M0zJ07N+O1V111FY455hgsXrw4Zbmu6/jFL36BZcuWMSgTERERERFRm+Rs3oT//d//xZFHHon3338fw4YNw3/913/hRz/6Ec4++2zEYjH8/ve/x/HHH5/xul27dmHr1q0oLy9PWb548WK88MILAIBhw4Zh/vz5mDFjRsZt4cKFnfL+0oVCITz22GMZU1JRfuF5zn88x/mP5zi/8fzmP57jnoHnOf91hXMspJQyVzv3er1YsGABVqxYgV27dsHhcODkk0/Gb37zG0yePDnrayZOnIiPPvoI9957L+67777k8vvuuy9juqdszjjjDPz1r39tp3fQfF6vFx6PBzU1Na0e4Zu6Pp7n/MdznP94jvMbz2/+4znuGXie819XOMc5Dcs9SVc42dTxeJ7zH89x/uM5zm88v/mP57hn4HnOf13hHOesGTYRERERERFRV8WwTERERERERJSGYbmTWCwW3HvvvbBYLLk+FOpAPM/5j+c4//Ec5zee3/zHc9wz8Dznv65wjtlnmYiIiIiIiCgNa5aJiIiIiIiI0jAsExEREREREaVhWCYiIiIiIiJKw7DcCZYvX46JEyeisLAQDocDJ5xwAh566CFEIpFcHxo1IRKJYN26dfh//+//YezYsSgoKIDJZEKfPn1w3nnn4e233z7s699//31MmTIFJSUlsNlsOOaYY3DXXXehrq6uk94BtdasWbMghIAQAr/73e8aXY/nuHsJh8N47LHHMGHCBBQVFcFqtWLAgAE466yz8Nprr2V9Dc9xfmBZ3L2xPO6ZWBbnr25THkvqUL/+9a8lAGk0GuVPfvITedFFF8mCggIJQE6YMEH6/f5cHyIdxnvvvScBSACyT58+8uyzz5ZTp06Vxx13XHL5zJkzpa7rGa999NFHJQAphJCnn366vPTSS2WfPn0kAHn00UfLQ4cO5eAdUXN88sknUtM0KYSQAOT8+fOzrsdz3L2UlZXJY489VgKQJSUl8pxzzpH/9V//JU899VRpt9vlxRdfnPEanuP8wLK4+2N53POwLM5f3ak8ZljuQCtXrpQApNPplJ9//nly+aFDh+TIkSMlAHnHHXfk8AipKevWrZMXX3yx/Nvf/pbx3KuvvioNBoMEIP/0pz+lPLd582YphJAGg0GuWbMmudzn88nJkydLAFn/I6Dc8/l88sgjj5T9+/eXF1xwQaMFNM9x9+L3++UxxxwjAcj77rtPhsPhlOd9Pp/csmVLyjKe4/zAsjg/sDzuWVgW56/uVh4zLHegsWPHSgDyd7/7XcZzH3/8sQQgLRaLrK6uzsHRUXu45pprJAA5efLklOWXXnqpBCB/+ctfZrxm586dUtM0CUB+9dVXnXWo1Ey33HKLBCDffvttOX369EYLaJ7j7uWee+5J1jw1F89xfmBZ3DOwPM4vLIvzV3crj9lnuYPs2bMHGzduBABMmzYt4/kJEyZg4MCBCIVCWLNmTWcfHrWTUaNGAQDKysqSy8LhcLLvVLZzP3jwYIwfPx4AsHLlyk44Smquv/71r3j88cdx1VVXYcqUKY2ux3PcvUQiETz55JMAgP/3//5fs17Dc5wfWBb3HCyP8wfL4vzVHctjhuUOsmXLFgBAUVERhg4dmnWdMWPGpKxL3c/27dsBAH379k0u27ZtG/x+P4D6c5yO577rqaurw9VXX43S0lL84Q9/OOy6PMfdy+bNm1FeXo5+/fph+PDh+PLLLzFv3jxcd911mDNnDt5++23oup7yGp7j/MCyuOdgeZwfWBbnt+5YHhvbfYsEANixYwcAYNCgQY2uM3DgwJR1qXvZv38/nn/+eQDAxRdfnFyeOJ8FBQVwuVxZX8tz3/X85je/wY4dO7By5UoUFhYedl2e4+7ln//8JwBgwIABmDNnDh566CFIKZPP//d//zdGjRqFVatWJf/P5jnODyyLewaWx/mDZXF+647lMWuWO0htbS0AwOFwNLqO0+kEAHi93k45Jmo/0WgUV155JWpqajBy5Ehcd911yed47ruftWvX4umnn8Zll12GCy64oMn1eY67l4qKCgDqivN///d/48Ybb8TWrVtRU1OD9957D0cddRS2bNmCs88+OzmNEM9xfuB5zH8sj/MHy+L81x3LY4Zlola4/vrrsW7dOhQXF+PPf/4zzGZzrg+JWqmmpgbXXHMNevXqhccffzzXh0MdIHHVOhKJ4PLLL8fixYtx1FFHwe1248wzz8R7770Hq9WKf/3rX3j11VdzfLRE1BIsj/MDy+KeoTuWxwzLHSTRTMDn8zW6TmICbbfb3SnHRO3j17/+NZYuXYrCwsLkVbCGeO67l1tvvRW7d+/G4sWLUVJS0qzX8Bx3Lw2bbTWsdUoYNGgQzj77bADA+++/n/IanuPujecxv7E8zh8si3uG7lges89yBxkyZAiA1FEZ0yWeS6xLXd8dd9yBxx57DAUFBVi7dm1y9M2GEuezuroatbW1WftX8Nx3HStXroTRaMQTTzyBJ554IuW5r7/+GgCwdOlSvP/+++jTpw9effVVnuNu5ogjjsj6ONs6+/btA8C/43zBsjh/sTzOLyyLe4buWB4zLHeQxH/aFRUV2LFjR9ZRODdt2gQAGD16dKceG7XOrFmz8Oijj8Lj8WDt2rWNjsh39NFHw263w+/3Y9OmTfjRj36UsQ7PfdcSjUbx0UcfNfr8zp07sXPnTgwePBgAz3F3M3r0aAghIKVEeXl5ciCQhsrLywHU93viOc4PLIvzE8vj/MSyOP91x/KYzbA7yIABAzB27FgAwLJlyzKeX79+PcrKymCxWA47hxx1DXPmzMHDDz8Mj8eD9957L3luszGbzckmJNnO/ffff49PP/0UAHDhhRd2zAFTs1VXV0NKmfU2ffp0AMD8+fMhpcTOnTsB8Bx3N3369MGECRMA1DfraigSiSS/oJ188skAeI7zBcvi/MPyOD+xLO4ZumV5LKnDrFy5UgKQTqdTfv7558nl5eXlcuTIkRKAvOOOO3J4hNQcd911lwQgCwoK5Geffdas13z++edSCCENBoN85513kst9Pp+cPHmyBCAvvvjijjpkaifTp0+XAOT8+fMznuM57l7ef/99CUAWFhbKv//978nlkUhE3nzzzRKAdLlccv/+/cnneI7zA8vi/MHyuGdiWZxfult5zLDcwW655RYJQJpMJvmzn/1MXnzxxbKgoEACkOPHj5d+vz/Xh0iH8eabb0oAEoAcM2aMnD59etZbti9ajz76qAQghRBy4sSJcurUqbJv374SgDz66KPloUOHcvCOqCUOV0BLyXPc3cyfP18CkEajUZ566qnyoosukkOGDJEApM1mk//f//f/ZbyG5zg/sCzu/lge91wsi/NPdyqPGZY7wWuvvSZPP/106Xa7pc1mk8cdd5xcuHChDIVCuT40asJzzz2XLJwPdxs8eHDW17/33nvyZz/7mSwqKpIWi0UeeeSRcu7cudLr9XbuG6FWaaqAlpLnuLt599135VlnnSWLioqkyWSSAwcOlDNmzJBfffVVo6/hOc4PLIu7N5bHPRfL4vzUXcpjIWV8wisiIiIiIiIiAsABvoiIiIiIiIgyMCwTERERERERpWFYJiIiIiIiIkrDsExERERERESUhmGZiIiIiIiIKA3DMhEREREREVEahmUiIiIiIiKiNAzLRERERERERGkYlomIiIiIiIjSMCwTERERERERpWFYJiIiIiIiIkrDsExERERERESUhmGZiIiIiIiIKA3DMhEREREREVEahmUiIiIiIiKiNAzLRERERERERGkYlomIiIiIiIjSMCwTERERERERpWFYJiIiIiIiIkrDsExERERERESUhmGZiIiIiIiIKA3DMhEREREREVEahmUiIiIiIiKiNAzLRERERERERGkYlomIiIiIiIjSMCwTERERERERpWFYJiIiIiIiIkrDsNxD3HfffRBCNHqzWCwoKirC8ccfj8svvxwvvfQSwuFwrg+7y/jrX/+a8Zk9//zzrdpWIBDAO++8g7vvvhtTpkzBUUcdBbfbDaPRCLfbjaOPPhpXXnklVq9eDSll+74RAN9//z00Tcv6e/DZZ5+1236ef/75jO3/9a9/bZdtR6NRrFy5EjfffDPGjBmD/v37w2azwWKxoLi4GMcffzwuueQSPPzww/j888/bZZ+UKhAIYP369XjkkUdwySWXoH///hnne+LEibk+TKIuhWVx27AsbjmWxflt9+7deO6553D99ddjwoQJ6NevH+x2O0wmE0pKSvDDH/4Qs2fPxvbt23N9qN2XpB7h3nvvlQBadDviiCPkl19+metD7xI+/PDDjM/nueeea9W2ioqKmn0OJkyYIHfv3t2u7+WBBx5odH8333xzu+3nueeey9j+hx9+2ObtPvvss3LQoEEt+l0ePny4DIfDbX9TlNSc/1POOOOMXB8mUZfCsrhtWBa3HMvi/PXWW281+7M3Go3ynnvuyfUhd0usWaZGfffddzjnnHPg9/tzfSh5JRQKNXvd9evXY/Lkye16Dl5++eVGn3vttdcQjUbbbV/tKRAI4NJLL8Uvf/lL7Nq1q0Wv/eabbxCLxTroyIiIOg7L4o7Bsrh1WBZ3HS35HY5Go5g/fz5++9vfduAR5Sdjrg+Acufiiy/GJZdcAgDw+/1477338Oqrr6as8/3332PlypW44oorcnGIeU3TNEycOBGTJk1C//79sXv3brz88sv4+uuvU9bbunUrfv/73+Ouu+5q8z43b96M//znP40+f/DgQaxduxZTpkxp877ak67ruOKKK7By5cqM53r16oVzzz0Xo0aNgsfjQW1tLXbt2oXPPvsM69evRyQSycER9ywDBgzAKaecghUrVuT6UIi6HZbFucWyuPlYFnddRUVFOPvss3HyySfDarXiiy++wNKlSxEIBFLWW7hwIa6++moMGTIkNwfaDTEs92DHHXccLrvssuTPV199NWKxGJYvX56y3ueff84Cuh0ZjUbMnDkTs2fPxhFHHJHy3KxZs3DOOefgvffeS1n+5z//uV0K6JdeeiljmaZp0HU9ZZ2uVkA//vjjWQvnX//613jggQfgcDiyvq6yshKvvPIKHn744Y4+xB5n8uTJOOGEE3DKKaegX79+AAAhRI6Piqj7YVmcGyyLW45lcdfTp08f/Pa3v8WMGTNgs9lSnrv++utx8sknp7SIiEQiePPNN/HrX/+6sw+122IzbEpxxhlnZCwLBoMZyxobMCIQCGDBggU46aST4PF4IITAH/7wBwCqCciqVatwzz33YMqUKRgxYgT69esHq9UKq9WK0tJSnHbaaZgzZw62bt3a6DE2NsCHlBIvvvgiJk+ejOLiYlitVgwfPhy33347ysvLD/u+w+EwHn30UZx00klwOp0oKCjAD3/4Qzz99NMphVd7+PTTT/H0009nFM4AYDabsXDhwozl33zzTZv3G4vFMmorfvCDH+AnP/lJyrI333wTtbW1TW6vtrYW9957L0aMGAG73Y6SkhJMmjQJr732WpuPtaG6ujo88MADGctvvfVW/OEPf2i0cAbUldZf/epX2L59OywWS8bz6b9HM2bMAACsWbMG5513Hvr06QODwYATTzwx47U+nw9PPvkkzjvvPAwcOBB2ux02mw0DBgzAOeecg8WLF6Ourq7RY5s4cWLKvhu7ytuc9WbMmJHxXgDg0KFDmDVrFo455hjY7XYUFRXhzDPPbJca4NNOOw0XXnhhMigTUfthWcyymGUxy+KmjBs3Dtu2bcMNN9yQEZQBYMSIEbjmmmsylrfH73GPkutO09Q5sg0qcu+992asN3fu3Iz1HnnkkYz1sg0Y8fLLL8ujjz46Y/nvf/97KaWUhw4davZABAaDQc6fPz/re8k2wMeiRYvk5MmTG93esGHD5P79+7Nu79ChQ3LUqFGNvva0006Tb775ZrsNKtIUn8+Xsa+CgoI2b/fdd9/N2O4999wjn3nmmYzlzz///GG39c0338ghQ4Y0+pldcskl8n//93/bZVCR119/PWM7JSUl0u/3t/KTqJe+3enTp8ubb745Y/kJJ5yQ8ro1a9bIXr16Nfl7XFJSIlevXp1132eccUbKuoMHD271etOnT8/Y9z/+8Q9ZUlLS6LFNnz5dxmKxNn6CqdL3wQG+iFKxLGZZzLI4E8vi9i2LG1qyZEnGPm+99dYO218+YljuIZoqoH0+n1y9erV0u90p69hsNrlv376M7WUroF0uV9b/CFpTQCduL774Ysa+sxXQVqu1yW1dccUVGduKxWJy/PjxTb62T58+nVZA/+tf/8rY1ymnnNLm7f785z/P2O7//d//yUOHDkmDwZCy/Mwzz2x0O3V1dXL48OGt+sxaU0D/8pe/zNjOjTfe2IZPol5zf4cbFtCrVq2SmqY1+3dYCCHfeOONjH13dAHt8XiaPLa5c+e2y+eYkL59hmWiVCyLWRazLM7Esrh9y+KGfvOb32Ts78knn+yw/eUj9lnuwebNm4d58+Y1+rzH48FLL72EPn36NGt7tbW10DQNl19+OSZOnIhoNIrNmzejqKgouY7VasW4ceMwduxY9OrVC0VFRTCZTKiqqsLGjRszRoC87777cOWVVza572AwCJvNhl/96lc47rjj8PHHH2Pp0qUp6yxfvhxPPPEE3G53ctnzzz+PTz75JGU9k8mEa6+9FieffDL279+PJUuWoKysrFmfQXtINJVr6Oc//3mbtun3+zP6GQ0fPhwnnHACAOD000/Hhx9+mHzugw8+wL59+9C3b9+Mbf33f/93RhMeh8OBm266Ccceeyy+++47PP7449i/f3+bjjkh29yAJ598csayYDCIVatWNbqd3r17Y9KkSYfdV6LJ26hRozBt2jSUlJRgx44d2LFjBwCgoqICV111VUZzwB//+Me4+OKLIYTAihUrsHbt2uRzUkrMmDEDp59+OoqLiw+7//ZUU1ODk08+GVdddRWsVivefPNNrF69OmWdhx56CFdffTWGDx/eacdFRKlYFrMsZlmcimVx+6iqqsILL7yQssxqteLSSy9t1/3kvVyndeocrZnb8eabb5ZVVVVZt5ftajYAuXLlykaPIRaLyWAweNjj/N3vfpexzW3btqWsk+1qNgD57rvvpqw3c+bMjHX++te/pqwzduzYjHWeffbZlHX27t2b9SpnR1zNfvXVV6UQImU/w4cPlz6fr03bffnllzOOf/bs2cnnFy9enPF8tiZ/uq7L0tLSjHXff//9lPW++OKLrFd8W3M1+9hjj83YzjvvvJOx3r59+w77+5ytljPbepdccomMRqNZj+X+++/PWH/q1KkZ61166aUZ691///0p63T01exTTjklYz7LK6+8MmO9WbNmZd1vazTnMyfqyVgWsyxmWXxGxmtYFrdvWSyllNFoVJ577rkZ+7nzzjvbdT89AQf4okY9/vjjOPHEE7Fz585mrX/++efjggsuaPR5TdNgMpmwYsUK/PznP8fxxx+PwsJCmEym5EAId999d8brDjfASMLpp5+eMThGtiuXBw4cSD72er34/PPPU54fMGBAcmCJhL59+2YdIKG9vf766/j5z38OKWVymdvtxsqVK2G329u07WwjbyamKgGACy+8MGMk4xdffDHjNf/5z39SPkNADTAxefLklGXHH388zjvvvLYcclLDzyOho0ZdNplMWLJkCQwGQ9bn//KXv2Qsu/fee5u1LNtrO9KcOXNgMplSlmX7+2pYi0FEXQ/LYoVlcT2WxSyLDyccDuPyyy/PqMH+8Y9/fNhWLJQdm2H3YA3ndoxGo/j+++/x3HPP4dtvv02u8/3332PatGn49NNPm9ze2Weffdjn9+/fj3PPPRebNm1q0XFWV1c3uU62kUMLCwszljWcb27Hjh0ZTXhOOOGErP85jx49uhlH2npPPfUUfvWrX6Ucj8PhwNtvv43jjjuuTds+ePBgxvQXgwcPxpgxY5I/9+vXDz/84Q9TzvMXX3yBf//73xgxYkRyWbYRFE866aSs+x09evRhm2I1V0lJScaygwcPtnm72YwdOxa9e/du9Pn0L4sOhwPHHntsxnqJUUkbTtewbdu29jvQZmh4fhOOPvpoOBwO+Hy+5DKOikmUWyyLWRYnsCxWWBa3Xl1dHS666KKM37VTTz0VK1euhNHI6NdSrFnuwRJzO1522WW48sorcdddd2HLli0Zw+H//e9/x4YNG5rc3uDBgw/7/JVXXtniwhlASr+pxgwYMCBjWfqVPCD1ymi2KRl69eqVdfuH+0+7rebPn48bbrghpXAuKCjA2rVrMWHChDZv/9VXX834DC+++OKM9bItS7+inYvP7KijjspYtnHjxoxlffr0gVSDFma9At4cTf0O19TUpPzc2HsHMt9/+mvTNTYtSjgcPuzrGtPYsaUvb87UJETUcVgWsyxuahnL4lQsi7OrqKjA5MmTM4LypEmT8O677x52ei9qHMMypXC5XFmvSn/xxRdNvtZsNjf63Pbt27Fu3bqUZZqm4ec//zmeeOIJvPLKK3jllVdw/fXXt/ygG9l3U82DXC5XxrJDhw5lXbcjrp5KKfHrX/8av/3tb1OW9+vXD3/7299w6qmntst+sjX7evTRRzPmArzjjjsy1lu2bFlKYZeLz+zHP/5xxrLXX3+91QXX4RzudxhQA+001Nh7BzLff/pr038/I5FI1u20dkCbxo4tfXm2c0pEucWymGVxQyyLU7EszrR7926cdtpp+Oyzz1KWX3zxxVizZg2cTmebtt+TMSxThmxX1SorK9u0zS+//DJj2R133IEXXngBN9xwQ/KqerZmPh1l6NCh0LTUP4EvvvgCsVgsY930/lRtFY1GcdVVV+Gxxx5LWX7UUUfh008/xciRI9tlP9u2bct65be5ysrK8NFHHyV/HjZsWMY6jX027fWZTZkyJWPkygMHDuC+++5rl+23RPqVdZ/Ph6+++ipjva+++iql2RcAHHnkkSk/W63WlJ+rqqoyrsJ/99132Lt3b6uONVvN0ddff53S7AvIfk6JKPdYFrMsTmBZnIplcaqtW7di/PjxGZ/BDTfcgNdffx0Wi6XV2yaGZUpTW1uLt99+O2N5c6esaEy2K3XpzUF2796Np59+uk37aQm3253R/2n37t14/vnnU5bt27cPzz33XLvtNxAI4Pzzz8+4ynzyySfjk08+abL5UUtku5LdUg2bf40YMSKjSdM//vGPjJqKf/7znxkDS7SWy+XCnDlzMpYvWLAA9957b4dc1W7MWWedlbFs/vz5Gcvuv//+Jl+b/jcVCoXwt7/9LWXZvffe22iTsKYsXLgwo8nfAw88kLHexIkTW7V9Iuo4LItZFqdjWVyPZXG9zz//HKeddhp27dqVsnzevHl44oknMi5EUcuxl3cP9q9//QuvvvoqgNRBRdL/4DRNyxhhsaWOOeaYjGULFy6E3+/HD37wA3z77bd44okn2nzVvKWuu+66jKt+N9xwAzZv3oxTTjkF+/btw5IlS+D1etttnz/+8Y8z5pMsLi7GzJkz8f777zf6unPPPbfF/U1efvnllJ81TcMf//jHw15lnDlzZkrfmRUrVmDJkiWwWq0QQuDaa6/N+I/+/PPPx0033YQRI0bg22+/xeOPP97qgiWb2267DR9++CHWrFmTsvz+++/Hc889hwsvvBDHHnss7HY7Kisr8Y9//KPd9t3QjTfeiIcffjjl83nllVdQWVmJiy66KDm347vvvpvyOpfLhRtuuCFl2SmnnJLxZfCiiy7CXXfdBY/HgxUrVuCdd95p9bFu2LABEyZMwFVXXQWLxZJ1bkdN03Dttde2avs7duxosv/kwYMHk//HJEyaNKlD+x0SdTcsi1kWZ8OyuHEsi5UtW7bgRz/6UUZ/55/85Cc46qijMsrfhObMdU0NdPZcVZQbrZnbMXG7/vrrM7aXbW7HpubtO+mkk5rc18iRI5ucQzHb3I7Z5llsznrRaFSOGzeuyeNyu93N2mdztPY87Nixo0X7+eSTTzK2MXHixCZfd8UVV2S87vXXX08+X1tbK4844ohWfWatmdsxwev1yrPOOqvVn19z5nacPn16k8exYsWKjPk3D3cTQsjly5dnbKe8vDzrnKHpN4vFkvJzc+d27NOnT5Pbbsu8jo3N79rUrS2/A0TdHctilsUAy+J06euwLG6e1pbD2c4BNY5183RYV199dUZfntZ6+eWXUVpa2ujz11xzDW6//fZ22VdzGQwGvPnmmzjhhBMaXef444/HM88804lH1T6yNfuaOnVqk6/Ltk7DbTmdTvzlL3/BoEGDGt3GpEmT8OCDDzbzSJvH5XLh7bffxqOPPnrYkS+zOfHEE1tdg5ruoosuwptvvpnRdyuboqIivPHGGynzaCYUFxfjqaeearSJlNFoxP/8z/9g3LhxrTrOtWvXol+/fo0+f+WVV7b7OSKijsGymGVx+rZYFrMsps7BsExJFosFvXv3xqmnnoo77rgDmzdvxtKlS7NO+9AaRx99NLZs2YKbbroJQ4YMgclkQklJCSZNmoTXXnsNzz77bLvsp6V69+6NDRs24OGHH8aJJ54Iu90Ol8uFk046CY888gg2btzY7ZqNRiIRvP766ynLDAZD1ikp0v30pz/NGC3ynXfeQUVFRfLnI488El9++SXuvvtu/OAHP4DVakVBQQEmTJiAZ555Bu+9916HTFEghMBtt92G77//Hi+++CJ+8YtfYMSIEejVqxeMRiNsNht69+6Nk046CdOmTcPjjz+Or7/+Glu2bMEVV1zRbsdx7rnnYufOnVi8eDHOPvts9O/fH1arFVarFf369cNZZ52FRYsWYefOnbjgggsa3c60adPw0Ucf4dxzz0VxcTFMJhMGDBiA6dOnY/PmzW36wjpy5Eh8+eWXmDNnDo455hjYbDYUFBRg0qRJeP311/Hiiy9mnceUiHKLZTHLYoBlcXOwLKbOIKRs5SRoRETUJcyYMQN/+tOfUpbxv3YiIqLOw7I4P7FmmYiIiIiIiCgNwzIRERERERFRGoZlIiIiIiIiojQMy0RERERERERpGJaJiIiIiIiI0nA0bCIiIiIiIqI0rFkmIiIiIiIiSsOwTERERERERJSGYZmIiIiIiIgoDcMyERERERERURqGZSIiIiIiIqI0DMtEREREREREaRiWiYiIiIiIiNIwLBMRERERERGlYVgmIiIiIiIiSsOwTERERERERJSGYZmIiIiIiIgoDcMyERERERERURqGZSIiIiIiIqI0DMtEREREREREaRiWiYiIiIiIiNIwLBMRERERERGlYVgmIiIiIiIiSsOwTERERERERJSGYZmIiIiIiIgoDcMyERERERERURqGZSIiIiIiIqI0DMtEREREREREabpEWF6+fDkmTpyIwsJCOBwOnHDCCXjooYcQiUTavO01a9ZACAEhBM4888x2OFoiIiIiIiLKdzkPy7feeiumTp2KTz75BCeffDJ+9rOfYdeuXZg9ezYmTZqEQCDQ6m1XVVXh2muvhRCiHY+YiIiIiIiI8l1Ow/KqVauwaNEiOJ1ObNiwAe+++y5WrFiB7du3Y+TIkVi/fj3uueeeVm//5ptvxoEDB3D99de341ETERERERFRvstpWH7wwQcBAHPmzMHo0aOTy0tKSvDEE08AABYvXoyampoWb3vlypV4+eWXcfvtt+Pkk09unwMmIiIiIiKiHiFnYXnPnj3YuHEjAGDatGkZz0+YMAEDBw5EKBTCmjVrWrTt8vJyXH/99Tj66KNx//33t8vxEhERERERUc+Rs7C8ZcsWAEBRURGGDh2adZ0xY8akrNtcN9xwA8rLy7F06VJYrda2HWg7ak0NOXU/PM/5j+c4//Ec5zee3/zHc9wz8Dznv1yf45yF5R07dgAABg0a1Og6AwcOTFm3OV599VX8+c9/xs0334zx48e37SDbWSwWy/UhUCfgec5/PMf5j+c4v/H85j+e456B5zn/5focG3O149raWgCAw+FodB2n0wkA8Hq9zdrm/v378atf/QrDhg1L9odujVAohFAolLLMYrHAYrG0eptERERERETUfeQsLHeEmTNnoqqqCitWrIDdbm/1dhYsWIB58+alLJs9ezZmzZrVpuOrqqpq0+upe+B5zn88x/mvsXNcVFTUyUdCREREuZKzsOxyuQAAPp+v0XXq6uoAAG63u8nt/elPf8Lq1atxww03YOLEiW06trlz5+L2229PWdZeNcv8otUz8DznP57j/MdzTERE1LPlLCwPGTIEAFBWVtboOonnEusezsqVKwEAGzduzAjL+/fvBwB8/vnnyedeffVV9OnTJ+u22OSaiIiIiIioZ8tZWB41ahQAoKKiAjt27Mg6IvamTZsAIGUO5qYkXpNNdXU1PvroIwBAMBhsyeESERERERFRD5Kz0bAHDBiAsWPHAgCWLVuW8fz69etRVlYGi8WCKVOmNLm9VatWQUqZ9fbcc88BACZPnpxc1pzaaiIiIiIiIuqZchaWAeDOO+8EACxcuBCbN29OLq+oqMCNN94IALjpppvg8XiSz61cuRLHHHMMJk+e3LkHS0REnUbXJXwhiWqfRCQmc304lGe8fonKOh1VdTqqfDqqfRI1fgmvX6I2IFEXVDd/SCIQlgiGJXSdv4dERD1NTkfDvuCCC3DLLbfgsccew7hx4zB58mQ4HA6sW7cO1dXVGD9+PObPn5/ympqaGmzdupXNqImI8kQwLFETkPAFJXwhoNqno6pOIhBRodliEnDbBIpdAi6bgNOqbnYzoGki14dP3Uw4KvHJ1gikKQIBAAIQAESDXyX1s6h/DoDJCLhsAgUOAYdFwGYWsJmBAoeA2cjfQyKifJTzqaMWLVqE8ePHY8mSJfj0008RiUQwbNgwzJkzB7fddhvMZnOuD5GIiNpROCpRVSdR5ZPYX63jkFfV4MV0AJAwGQWsJsBmFjBoAqEIcNCro6wckAA0DbAaAatFoMghUOTS4LQAjniItpriQYcoi5gOhCOA2yFgj4/lKeP/JOqOpYzfGvwciUnsr5YoKwcSlcxGDXDaBPoXCZR6NJS4NTit/N0jIsoXQkrJdkWdpLKyklOR9AA8z/mP57hldF01cS2vlThQreOgV6IuIBHVAbNRhVyHBTAamhcyYrpEMAwEIxLBCBCNSkgpYDQCNpOAwwoUOQUKHCq4OOJBuiW1fzzH+SsQlnj1gwMoKi6Cy9a2YBuJSdQFgNqAhC4Bp1WgtECgf5GGEpcGj50XbnKFf8M9A89z/sv1Oc55zTIREeWfcFSisk6i3KtjV7lEtU9HIKyasiYChamVTVcNmgrEjrQavEhUhefaoMQhr0RM1wEAFhNQ5NQw6TgjLCYGF2o/JoNAoRModAroUgXn7w/p+Ga/DrsZ6OXWMKhEQy+PQIFdMDgTEXUzDMtERNQuQhEVUvdWxbC7QsIbUE2r7WbA4xDoU9ixQcFkFMl+pQlSStT41YBOUR2wdOgRUE+mCQG3HXDbBaSU8IeA/dU6dh7S4bCo4DywRENvBmciom6DYZmIiFotHJU4WCOxr0pHWYUOr19CAnDZgL6FAqZmNq3uKEIImAwSkWhOD4N6GCHqWz9IKREIq+D8/SEddgvQ26NqnEs9Gtx2hmYioq6KYZmIKEcCYYlgRCIcBSJRFTzDUSASAyxGwG5RAxDZzQKWLjRoVUxXNch7KtWX/4YBuX+xGpSLiBQh4n/HFvV34Quqi0s7D+lwWlSLi4HFGkoLNDgs/NshIupKGJaJqNOFo6qmJRiW8IfVYE21QR0xHTBogEkTMBgEhIj/bEBymharWcBm6t5TBgXDEt/sj+HrPTpCUYloDPGRoFMJqAGwzEb1ZbvAoQatcuRo5Ofq+OjV3x3QUe7VEdMlXHbBgEzUAg6rSNY41wWBnYd0fLtPh8smMKBEYGCxAb09nI6KiKgrYFgmog4Rjak+e4GwhC+kwnGNX0e1D/CHJCIxiVAUiI/BBE0DNFE/ZUtiapbE10UJFZrNJgGzQfVLddsBp1WD1aRqbawmFajNxq5TC9uQrkvsKtfx77IY9lVLFDjUwEAmA7KGTSlVTXM4CvhCEhV1ErF4qjYaAKtJhegil0CRQ4PTJuCyquaf7RVew1GJvZU6dpXr2FOpwx+CakZaIGA2au2yD6KeSAgBl039X6ZLidoAsHWPjq17dBQ4BIb00tC3SEOJixejqGPouipjQlE15kQoAoTiLZxiOpJzp8n4ulICRqMqg01GNcCdus+PC9lE2TAsE1Gb6LqEP6yaFvpCErUBNUVQzf/P3p3HyVGV++P/nKre9+nZsi8QFoGALEGU4OWbuFwQkf1CQMGFoIAI+L0kyM2PzQsRuV6DhMgXFxRFMELwlWuUsCgag5BA5IKyJJBlsk1m7el9qTq/P07vPZPM3jM9n/frlXRPdXV1dddMn3rqPOc5Maka32xALCCh6wI2C2C3Cjjt6n5/TwKlVD2wyWy68oEeid2dgJmNtjUN2QZc9bZ6nQJ+p1BBtE3AYVPTCjlsqEqPTUdYBckfHDBh1YGZjYc+ARZCpV/braiY4iZX+TmSVJ+3YZoQAmp+YrtAvUeg3qvB5xTwOQU8joGdxIRiEi3tBj5oNdERltA1IOARaPKPzQsRROOZJgT8LsDvEsgY6vvz9e0GLLsMNPo0HNakYVKdBj/HN9MgpTISkYTKZgjHJTojJjojEqk0kDFVXYeMCUAAomiOcQD5q9YC6mJ2yUNCzTduswq4bCoDqs6jwWVTWRQ+p4DTxt9bGr8YLBNRvxlmoaGNJFRj2xFWwXIipSofC6F6dh1WAa9ToME6PL2cQmSvYFuAQn9zQe4KeSqjerNDMYkPDORbfF1T+2XVVe+zxyHgcwm4bNlg2poN4oexZ1pKie6YxK42E2/vNhBLSUwKaHAMw4lDb5WfTalS2uMpie0HJN7bZ0ID4Mi+3wafQL1HFRSyW1TwrGvqmOlC3XaEJXa0GWhpV8fYkx2H3N85kIloaCy6QL1XoN6revu6oiY2vKMqak+t1zCjQcekgOA0aHRQsaREd1SiK6rGyIdiEomURCKjWlCrRV1ctVkFXPrALl4XM6WEkb2QnUhL7GiT2LrPAKDaF5dNoN4nMDmgqUDaLYalDSQaLQyWiahXhqnSAiMJNQVQR9hER0QinlQ9mlICug44rWo8cdBT3VRBTVO9xg4b0FswbZilKc1dUYn0AfU+BAChqaJaFl0Fzm6HgD8bTNutKvh32NStYcqK7ReLJWW+8u3+bpW6XOcRaAqMbNqyVlZICCgE0LGkxHt7JTKGCV0HrJrqjQfUZ6dBBcvRpIQpgaBHBdfsRSaqHrtVYFKgML75g1YTW/eZqHMLzGrSMDWbps3UV8rNbd8VkdjbZaIzrLK9DJnNOLIJBL1i2IcpaUJAy17I9jhKt5sxJKJJYG+nie0HTOga4LYLNHgFpgQ5jRqNDwyWiSa43LQm0aQaYxxNSrT3qB7jRFo9lhsv7LKrOUQbraqBHE90TfUaOw8RTKezV8d74hK72krHTquebYFkJI3mpnTJmGlHtpdnb5eBXe0SkbiErgN17uqmLvcWQBumSmmXMjcWTb1PKYHmAAsLEY01xeObDVP1GG7ZbuCtFgPNfg2zmzRMrtMqghWqbfGURHuPxL5uA3s6VUaVYaoLvx6HwNQqX8S26IXhBUAhO21PpyoU6eL84zQOMFgmmiDShkS8qOBWLAV0R0x0RbOVqdMqlUpCBYVOWzYw9o+/wHgwDhVMm9kx06kMEJMqBb01BGQMU43jyq4nhDoxmN4wdnt79Gz6NRGNP7pWSNNOpCQOhFQBPr9TYHqjqqbd7OfQiYGIJCTe22sgFJf5MbYOq6pv4bCqwHOspA5HEuqY7+sysbdL1QkRYuzMbX8wulYaPMeSEq2hwvzjjT4NMxs1TAlyGjUaOxgsE9UA05RIG8hXskym1Vi3RBqIJk10R1QhqN4KbuXG6vpdAlb2KPZJEyI7jRNgejT4/JXRpinlhLiwQLVr9erVWLlyJd544w2kUinMmTMHl19+OW666SZYrdZ+b2fLli34wx/+gOeffx5vvfUWOjs74fF4cNxxx+HSSy/F4sWLB7Q96p3DJjAlWKim/fZuVU27wStw+CQdk1kU7KDShsSOAybe2mWgIyzhsAE7i7JugFxWlcC0eoEpdWpar9EeL55MS7SGJHZ3GNjToQJkXVcXtKc3jN9q6S67yGc95YYv7Wgz4XepavAzGjU0cpgBVZmQsryuHY2Uzs5OBIPBau8GjbDhOs65glWJ3FQOadX7m8oAqbREPBsMJ1LZ9GFDjQ/KV7SECoiFpoo52a1q7O1gi3hQQU+oEz4//5bHi2hCDTE45xRrv3srJuL39Y033ogVK1bAYrFgwYIF8Hg8ePHFF9Hd3Y358+dj/fr1cDqdh9xOJpPJB8Iejwfz5s1Dc3Mzdu/ejZdffhmGYeDUU0/Fs88+i0AgMMLvqlI8JfHEi60I1gcrqszXgnRG1WSIJgC3HZhWr2Fmoz7hhlgc7G9YShV8vrXLwM52VTytwScqLnbmZmGIJICeuIRANkCtV2nvIzkfdsaQaOtR4493tpkIRVUPst+tUvJr9cKsKSV6YkB31ITVogqDHdasYUpd78UxJ+J39URT7WPMnmWiKspNuxRPqVToeFIikq1gGY6rwDdtqF5joygAhlBptLqm5tvVNVXl2WVXc/Yy/Y6IBuKZZ57BihUr4PF48NJLL+Gkk04CALS3t2PBggXYsGEDli1bhvvvv79f2zv55JOxZMkSnHvuubDb7fnlb775Jj796U/j1Vdfxc0334yf/OQnI/J+JjKrRaDJLyB9anzotv0mtu03UecROLxZpbjWuSfu2NBIQuKfuzPYutdE2gCmBfvOqsrNwlDnUUUaDVONC35rl4F/tBgIuAVmNqhpvRp9w5P63p2tXv1Bq4H2sIRpSnhdAtPGcQ/yQGhCIOAGAm4diZTqbd7VbiLoEThysoaZTTpTtGlUsWd5FFX7yshEZJgqJTmVKfTOClEIMC26CjItmhqnOxwNUW/HubiIViShqkN2hk10RiWSKbVvGUOtqwnAZi1Mc2TVh2/faHiwZ3l8Yc/yoZ166qnYtGkTvv3tb+O2224reWzDhg0444wzYLfb0draCr/fP6TX+sUvfoHPf/7zcDqdCIVCo56OXes9y73JGLmLsKpQ4+Q6DbMaVe9orU5BVf43nDYkPmhV8913RiSa/GJIBdFy82FH4hKapmaEmNWooTmgod47sMA2lZHY3y2xs83Ang4T0aQ6TnWeiZUN0BfDVFW+e+KqaOYRkzTMatLhc4kJ9109EVX7GLNnmUZdJttTmjGAjKmKShlm4Z81Oy7UZhH52/5IptWctqGoRHvYRCimTooyRqF31sz1zgrke2Z1kS14pKuKxm474HEKOKxFUwZZAaddwGnFQcfOGGZ2qoYeE9FsUNwdNdEZKRTRyhiqd9hqUdt32QUCnrFdlIOIateePXuwadMmAMCiRYsqHp8/fz6mT5+OlpYWrFu3DpdddtmQXu/EE08EAMTjcbS3t2Py5MlD2h4dmkVXU8E1+NTY0F3tqhpxnVtgdpOGqfUa6j21OTZUSol9XRL/aDHQ0mHC4wBmNVWmXA9U8XzYqYwKnF/dZsBmMVDvVRXKmwOiz178tKEqWeemGeyKSGiaCpAbqziDwlika+r3N+hVF302vW/g3b0mDp+kIWA1wViZRhKDZRpWUqpxtPGU6smJJVVBqXhKXSmNJdTPGUMFlqZUAawhC4GspkH19OoCFl0Fzq5soOq0CdisuVRjtU4koaopdoQlogmJjKnm/7Vne2YdNsCT7aHNXek1pZpewSwK0jMGEE6Y6IwgO62OhBQCkKrAh80q8tMx+F1qe4l0rpiW6h1OG0B3VxoWZxqZTDYo11EoouVmUExEY8uWLVsAAMFgELNnz+51nVNOOQUtLS3YsmXLkIPlrVu3AgBsNht7hKogV1Qpl1L8WnYKqkkBDbOyU1DVSpprKCbx9p4Mtu4zIU1gav3ItME2i0CjT6DRp84LQlETG9814bQBTX5V4XlSQIPDBrT3SLR2m9jZrmajME0Jr3PipFkPhSZUD36dWyIUA7bsMIBkBl3pDA5v1hFw8/Oj4cdgmQYlFxRHEoW04lA0Ow1RMpvynEF+Sp1CyrO6Gmu3qsBVy/bsappKPxZCwDRVwJsrVBVPSYQTMhtgA9JUY3bz+wIVGLvsAs2B/lV01oSApgPQyx+pfK6UKghOZdTV4wM9Ers7ABPFPdO5f+q9NQQYFBPR+LB9+3YAwIwZM/pcZ/r06SXrDpaUEvfddx8A4JxzzikZz0yjS8+mDgc9qp3N9XD6XAIzs1NQDdc43NGWyki8uyeD3ZE0emIq5do9SnNQO6wCjkBpheed7SY8DnXBXc2FLOFxCEwOCFgtnMdvoER+XLPA7n3A33cYeH+/iSMmazi8WaVn0/AwTZnv0JJSna8Loc7Zc+fttY7BMh2SYaqqmuGEGpvTHcv14gLxorTi4mmIvNme18H8EWmagE1TPcpKdf8QRdGUQf3Zlx6DgTIRjR/hcBgA4Ha7+1zH4/EAAHp6eob0WnfeeSdefvlleDweLF++/KDrJpNJJJPJkmV2u50B9ghw2gSc2SmoemLAP3aZeHu3moLqsGYdk+oE6txjP6gzTYk9nRJv7jKwdaeBKZMkZjVVr5hZrhdfSlVsLZWRmMQAeVj5XAJen0AoBrz+gYFt+1TQPK1eg9bLxyyy/wkICKF+zq2XCwCLA0L1+Ng7pzNMmc+KLAxlzGZNShRlT2azOLMBb+6+kQ1+04a6eJPJzaqS26YhkTYL6xUPYyz/vKwWlcXptgNOq6Zq7uTq7lhUtqgle9+a7TgbT0E2g2UqYZjqCz0cV9WYO8Im2iMS8aTqSZZS9aA6bOrqqY9z8xIRUT/8/Oc/x1133QVN0/CTn/wERxxxxEHXv/fee3HnnXeWLFuyZAluueWWIe1HPCURCXfBagFkiu1XOQ1AnV1NQbXvgMS2XarYVHNAw/R6Dc3+3qfwqbauiIl39hjY0WZC0wC/rRtWU0N4aNd3hpUVQDwKxKu9IzUk3NMFQP3eBu0SPRHgpS0SNlvpeqL8VpQkKaox7EJtB9kgWRTdFmcQahoKmZFC3YrsYxZN1bhx2QScNnXfYR1acJhIqengQjGVqRBNFAJgKUsDYmmqzEeZfSyX4Zl7dZl9PzK7UIPa98KFgeJeY3VRIbcMKMxBLqUa0giUDmfM7VP+cy3JwFTbmhwQOPWI/hd27Orqqlg2mkN4GCxPYFKq9OmeWDYwjpg40JMNjFPqj82qA04b4HWqghO1Oq8fEdFE5fV6AQDRaLTPdSKRCADA5/MN6jVWr16NL33pSwCARx55BBdffPEhn3Prrbfi5ptvLlk2HD3L8ZSEx5uG1z9xqmEPVn29uo0k1Ml62x4g0CUwo0HD1KCaZ7jaadqxpMTWfQbe3m0gnpKYNU2D0ybQE9I4a8EEUXyc/QFgWnb4XF9yAR9yt8gFf4UgszggLF6WkaU9rbnn5e4bEvmNWi2AI9vrGnALNPk0BDyq6FtfxWuLhzl2RdT49taQmlbUMNU5udObHU6Y7eXVsz3huWGNqld8bHy3mbK0kG9nVELaNASDA5sFgdWwaVTkqjX2xFSj1xoyEYkDsZSEma1C7bSplBYGxkREE8OsWbMAAC0tLX2uk3sst+5APP3001i0aBFM08TDDz+cD5oPhSnXY4fHoaZZyhUFe3NXBv/YLVDvUdW0JwU0BEe5mnbakNjZpqaCau+RqPMINAWY3kyF4XPDtLVBPStX7yaZLXrbFZXYus+ERVMzrjT5BJr8GvxugVRaTS2amz0lP8wxA1gsqsNqanB8FoDThIBmUVkVgHqf4w2D5VG0q83AnoiRzd3PFb0SJcWvdE0UCmFpgx8nYZoS4YTqNQ7FJQ6E1LQEsaT64xVCBcYuu0BwgPMBEhFR7chN5dTR0YHt27f3WhF78+bNAICTTjppQNt+5plncOmll8IwDKxatQpXX3310HeYqqa4KFg6owKAv2014LQaaMxWfW72a/C7Rm5MopQSe7sk/pmdCsppA2Y21ua0VzR+Fde7Kc5gSWdUVucHB0y8t9eErqseV4DDHMcqBsuj6IMDJg7E07BZRMkYAolCGkUuQM7l96upkwRsVsCuIzs3r8iPndCy62nZsQCpjERnxERrt6pSHU+p17Bmq0U3+jnBPRERFUybNg3z5s3Dpk2b8Pjjj+O2224reXzDhg1oaWmB3W7H2Wef3e/trl27FpdccgkymQxWrVqFa665Zrh3narIahFo8gs0+VXPWVuPiZYOE67sdEkzGlTgPJyVibsiJt7eoyofSwlMDTKgoPHFahEIWJCf5ipjyGwaNX+PxyoGy6PM7xJoLksTklLmK9OV/pNIp1TKQm6ZmR8noUJtAUBmI+584C1UMQ6OMyYiov741re+hfPPPx/Lly/HWWedle9B7ujowLXXXgsAuP766+H3+/PPWbNmDW699VZMnToVL7zwQsn21q1bh4suugiZTAY//OEPsXjx4tF7MzTqnDYBp01VfY4lgX1dJna0mXDbgEl1qjJxg3dwPc5Sqh7snW0m3ttnIpow0eTX4KqRuaBpYqv2mH86NAbLY4AQhZ7kskeqsTtERDTBnHfeebjhhhvwwAMP4LTTTsPChQvhdrvxwgsvoLu7G6effjruvvvukueEQiG8++67SCQSJcsPHDiACy64AKlUCtOmTcPGjRuxcePGXl/3/vvvR0NDw4i9LxpdQgi4HYDbIfJFRHe1m3i/VfU4N/pURe1Gv0DAdfDU6WRa5oPufV0mokkg6BGY1aSP4jsioomOwTIRERFhxYoVOP3007Fy5Ups3LgR6XQahx9+OJYuXYqbbroJtvK5WPoQi8Xy8yPv3r0bP/vZz/pc94477mCwXKOEEPA4VHGwXI9za8jErjYTdhtQ5xbwuwTcdgGHTY3vtFvV1Dv7u01sP2CiKyqhaUC9R6A5wA4EIhp9DJaJiIgIAHDJJZfgkksu6de6V111Fa666qqK5bNmzYKU46/iKY2c4h5nQI1x7olLdEQkMkZhXlaRnd81YwI+JzCtngVIiai6GCwTERER0ajJjXEuJ6Wq0cJxnEQ0VjBYJiIiIqKqE0JNn0lENFZw9nYiIiIiIiKiMgyWiYiIiIiIiMowWCYiIiIiIiIqw2CZiIiIiIiIqAyDZSIiIiIiIqIyDJaJiIiIiIiIyjBYJiIiIiIiIirDYJmIiIiIiIioDINlIiIiIiIiojIMlomIiIiIiIjKMFgmIiIiIiIiKsNgmYiIiIiIiKgMg2UiIiIiIiKiMgyWiYiIiIiIiMowWCYiIiIiIiIqw2CZiIiIiIiIqAyDZSIiIiIiIqIyDJaJiIiIiIiIyjBYJiIiIiIiIirDYJmIiIiIiIioDINlIiIiIiIiojIMlomIiIiIiIjKMFgmIiIiIiIiKsNgmYiIiIiIiKgMg2UiIiIiIiKiMgyWiYiIiIiIiMowWCYiIiIiIiIqw2CZiIiIiIiIqAyDZSIiIiIiIqIyDJaJiIiIiIiIyjBYJiIiIiIiIirDYJmIiIiIiIioDINlIiIiIiIiojIMlomIiIiIiIjKMFgmIiIiIiIiKsNgmYiIiIiIiKgMg2UiIiIiIiKiMgyWiYiIiIiIiMowWCYiIiIiIiIqMyaC5dWrV+PMM89EXV0d3G43TjjhBNx3331Ip9MD2s6WLVtw7733YuHChWhubobVakVdXR3OOOMMrFy5csDbIyIiIiIioonJUu0duPHGG7FixQpYLBYsWLAAHo8HL774IpYsWYK1a9di/fr1cDqdh9xOJpPBSSedBADweDyYN28empubsXv3brz88svYsGEDfv7zn+PZZ59FIBAY4XdFRERERERE41lVe5afeeYZrFixAh6PB6+88gqeffZZPPXUU9i6dSvmzp2LDRs2YNmyZf3e3sknn4xf//rXaG9vx4svvohf/epX+Mtf/oItW7Zg8uTJePXVV3HzzTeP4DsiIiIiIiKiWlDVYPmee+4BACxdujTfKwwADQ0NeOihhwAADz74IEKh0CG3ZbFYsHnzZlx88cWw2+0lj82dOxf33XcfAOCJJ55gOjYREREREREdVNWC5T179mDTpk0AgEWLFlU8Pn/+fEyfPh3JZBLr1q0b8uudeOKJAIB4PI729vYhb4+IiIiIiIhqV9WC5S1btgAAgsEgZs+e3es6p5xySsm6Q7F161YAgM1mQzAYHPL2iIiIiIiIqHZVLVjevn07AGDGjBl9rjN9+vSSdQdLSplPwz7nnHMq0rSJiIiIiIiIilWtGnY4HAYAuN3uPtfxeDwAgJ6eniG91p133omXX34ZHo8Hy5cvP+T6yWQSyWSyZJndbmeQTURERERENEFUfeqokfbzn/8cd911FzRNw09+8hMcccQRh3zOvffeizvvvLNk2ZIlS3DLLbcMaV/CPV1ICRNOMSamt6YREu7pqvYu0AjjMR5fYgmJeAro7LQiaRf9ek5XV+/HmMN4iIiIJo6qBcterxcAEI1G+1wnEokAAHw+36BeY/Xq1fjSl74EAHjkkUdw8cUX9+t5t956a8UUU8PRs+z1pZEUAfj8DJZrnc/PE+pax2M8fuh2CT0JBINWuPsZLAMMjImIiCa6qgXLs2bNAgC0tLT0uU7usdy6A/H0009j0aJFME0TDz/8cD5o7g+mXBMREREREU1sVevizE3l1NHR0WcBr82bNwNAyRzM/fHMM8/g0ksvhWEYWLVqFa6++uqh7SwRERERERFNKFULlqdNm4Z58+YBAB5//PGKxzds2ICWlhbY7XacffbZ/d7u2rVrcckllyCTyWDVqlW45pprhm2fiYiIiIiIaGKo6uDZb33rWwCA5cuX4/XXX88v7+jowLXXXgsAuP766+H3+/OPrVmzBkcffTQWLlxYsb1169bhoosuQiaTwQ9/+EMGykRERERERDQoVa2Gfd555+GGG27AAw88gNNOOw0LFy6E2+3GCy+8gO7ubpx++um4++67S54TCoXw7rvvIpFIlCw/cOAALrjgAqRSKUybNg0bN27Exo0be33d+++/Hw0NDSP2voiIiIiIiGh8q/rUUStWrMDpp5+OlStXYuPGjUin0zj88MOxdOlS3HTTTbDZbP3aTiwWy8+NvHv3bvzsZz/rc9077riDwTIRERERERH1qerBMgBccskluOSSS/q17lVXXYWrrrqqYvmsWbMgpRzmPSMiIiIiGvsyhppTPpYs3MZSEok0kMoAqbREMgOkMhKpDJDOAKYEDFPCMJH/JyUgBCCQvc3+0wRgswhYdMCa+2cRsOmAwybgtBVunTYBlw1wOwQcVkCI/k/bRzSWjIlgmYhovDFNiZShTjbShkQ6A2RMIGOoE5aMoX5OG4BhSBgyeyJiIH/fNCVMCZimOmExpTpJyd0C6j5Q+BlQJy35+yg9kdHK7usaoGkCmgbo+Z8BiwbouoBFAyy6Wm7R1ElQ7kTIoovsyZBapvFkh4ho1EmpAt5QTCIUkwjHJSIJZG9z/4Bkun+dRromYLcWvvt1IWC3ZO9rUA2LLLQ/xW1T2pCIJVXbljYkTLN/r+d1Ah6HgMch4HUAfreA3yUQyN7aLGxfaGxisExEE4aUEmkDSKbVSUUie5tMA8lM9n72NpVR66UyKhBOFV2NT6TsgEiO6r4Xx6nVSqLRtULwbLMAVl3k79ss6jGbJdvTYAFsOmCzqvv23LLsujarus8AnIgISGckumMSXVGJ7qhEd0T93BNTQXLa6P2L32ZRgeikgIDLrsFlB1w2AZdd9ew67apn12ZRAbLNor7Lh4th5tpFIJ6SiKdl/n4siZJgvjMisbuj9+jaZRcIuATqPAL1XoGgR/2r8whYdbYTVD0Mlolo3EkbhcY4kQYS2dt40W0yuzyeKg2MzQEEmiKbcpYL8lx2gYAbgGnC7bKVpKFZ8z2y2d7ZbI+tJdtDm+vl1bVCL62uZXuAtcqe4UIK3KFPEkwpIYuu/Od7Acxcil0hzc6UqvfbNIGMKfO94UZZr3jaKPycNgq9CLkLBxkDiKUk0jH1s9Gf7oVeWPXs52stDajtVpEPrHMneDaL6v0oBOCFwNxuUT3oRERjVSoj0RVRAXHutjOiguNIorJx0jXA5xKYEhTwuzT4XQI+l4DfKeDJ9tRWu0dW13Jp10AdDr0vhikRjhd6ybujhdvuqMTersq2xOcSaPAKNPo0NPgEGn0qoGYQTaOBwTINiJSl41pUqqlKwzGKTswLqaUSEoA0oW7lIXrFKlJJRT6IyAUaWu42G2wUUkh5sjyeSKmuRueC2XgKSORuUxLxomC3ZHlKNbb9YdUFHDbAYRVocKgAzGFTwZfDqq62260qAMsFZ3Zr4b5V7z1Y7QlF4PN7h/sjGTQtF1kf1Mj+bRSnped64FNl93M99ulMbtycejyZHU8XS0l0R9WygVzUyMmlFhb3dNut6jG3XeCcU6zD+6aJiMqYpuoR7oyogLgjItEZVoFxOF75xeawqt7T6Q0a6twqLTl363bUXvaNrqmLzgF37+8rkVafW2dEoiOsbjsjEjvbTHzQWhpI17kF/A4LpjVl0OQXaPJp8Ls4PpqGF4PlGiWl6h1Klp2Mlp+4potObtNGYZ1MUU9SJj8us/9BSrUIocZd6lphnGVxT581lzraS4+gzZJNKdUBiwWwZVNMrXqhoMVwpy+NZ2bud6w4pTn7u1a8LJFSgVGu9zeRTdFKpGW/0omFUCcTThvgdwk0BwCHVYMjW0DEYc3e2goBsDMbEPNYjR5NE3BogMMKDDUwz12UK/7eSmaL06QyKClQk1uWMrLfadnH0xmV9pfOftc1+Pi7QETDQ0qJaFKlFXeGJTqjEp1hU/USxyrH8dosKiCeVq8C4uIUY6eN303FHFaByXUCk+tKl5umuuDQ3iPR1iPRHpZo6zHxQZuOHR2Z/Hp2q1CBs19gkl9Dc0D1QvN8gAaLwfIYlOtxS5YEH9m00qJlqaLxlSVjLtOD75kRopAWmQs0ndbidFKtrCCQKhKUSyfN9fyq+4VeYaAovRQoPZeWpXeLU0glioog5YsiqQJJuTRSI1tIycink8qiFFJ10hxPFQf8g0sXzdG0ooDbUnnfSFvgcafz6be5IN2iqc+k9LNTy0o+v+yt6KV3va8OxOJe+9znJyFL0nBLPr+y9Nt0RhYVpwJS2XTbdPbz662XMJUZ2C9YLp3WYRVo8KmA15kLcItuywNgjmudeIQoFBpzqyVD2l44biIcH449I6KJQko15jaXKp1Lnc6lTZe3gZpQvaWHNWkIejQVEGfH3rrt7O0cKk1TQW+9FzhqamF5Z2cUSRFAa0jiQMhEW0iitVuipd0EYABQ51mNPoFJAYHmgIZJAfWzhWnc1A8MlkfJtv0G3tytIWYYcFjNkkJCuUA3URToDqSAj64V0kYdNgG/C7BbtUJKaa6YTh/FdnJj/qx6Lkir7S+PXI9oPhjMjcPMBoa5Hvbc/VzAWL5OLiBPZVSDmsoAacNEJqND141qv81ho2uFQk52i4DPlRsrqmXHj6rlufTl4tTmXBDMXl6qJk2oC1pEAPDI80n85R82+Dxp+JyV310Oa+lFPPU4L9rVoowh0ROXCEWB7uy42XyBrV4CYgDwOVXPZ51HQ31RD3HAJTgUrAosOhD0a9meaPVFL6VEKAa0dpvYH5Lqtltif3chgNYE0OBTgXOzXwXRTf7qjwGnsYfB8ih5+T0Df37XChNGyUmbpqlAw2FV1Qvr3CrQtWcD3UJDXRhXmWu4cwEKr4wNjCYKFwqU4f38uro64fLUVRRIKu75zhdUMkunECqZ5xCF3nXVa3zwbAGBXO9zaU90boy3XtTjX1xoyqIDVk1AL09Vz6aks/EnoloSTUiEEwKhxMCyjMqzYPLZMEVZMXZrWXZMNjOr1i9Cj0VSqmKPPdmplnriQE9c3c8VleqtqJYQRQGxW0OgKG064GZv5HggRG5ctF7SCx1JqIB5f7fqfd7fbeJ/d5pFzwPqPSp1O9cL3eQXcFh5zCcyBsujZMFxFnR2pSCsXkwJagx0a1iup9+eryXEY0xENFbceI4Dk1whBOvdcNqQHeKkMrviaYlkCoX6CkXV9nO3saREZwRIZfoXbOtaru5CLpjOFRtUgbbdqrLCHEUXyHPr9lVkcCIzTTW0KppUWV3RZGFqosI0RRKhiA0mep/iz2UX8DnVGOLcXL8+V7ZglIvjW2uVxyEwZ5KOOZMKy6IJif0hEwe6pQqiQyb+0WLiHy2FdQJugSa/lu2BFmj2a/A4+Lc5UTBYHiVTgxqmByWSQo1lISIiouqyZAtAuh0DP+k1zEKxwkRZ9f5EURX/4mr/XVFgf7cqYNcfmijUe8hnllkK2Wa5oVXFU6v1VaByrAy1Ms3CUKbyAqTlxSHj6dKpAWNJdXswDquAxykwyS/RENDhc6rplrxOAZ8T8DqZaksFbofA4Q4dhzcXlsVTEgdCque5NRtAb91n4L29hXVcdjXuucmvocmnCorVe5l5UIsYLBMRERENkK6pqX0GGmjnZqvI9V7nAulkqtDDnSibTSAXRPbEVJHPgdQ16W2/c7NA6PlhOkIN2Skr1JmLq3MdrblAW2Z3IDc0qHiO90IhyaIaIUXDkgZafFTTCjMiNPgEXDYNbrsKVtQ/1WOo/hUy9sbaFH80fjhtAjMbBWY2Fjq30hmJAz0qiG7tNnEgJLG3U2JnW6EStyaAoKcwF3SDV6DRrzIXWPNg/GKwTERERDRKhMj2+lpUL+dASVk61WN+hoJs4VBVvLKyQGXGLEwBmTEKsx8Y2ZklzAxKamfI/MwKhRkWckG6mplB7Xt+xoui2hj5WhlCpZerIDZXD6MwS0RxsVFbUW+5M5ua7rQxFZ3GBqtFYGpQYGoQyBUSM6Ua/34glPtnoj0s8c4eE+/sKTxXz1byDnqyFb2zt3UeZjmMBwyWiYiIiMYJUVKkkifaRNWiiVzxN+DookJiqYxERzg7J3RYor3HREc2iC7ndQrUudW/gKfovlvAzsJiYwKDZSIiIiIiomFgs6hq6mo6q4J0Rs3T3RGR6Ayr266IKiy2q70ykHZYVcE5n0sg4AJ82fs+pxp24HZwSrvRwGCZiIiIiIhoBFkt2WragdLlUqraBbk5vrsiEt0xNb1ZKCZxYL/Za50CIdR4fa9DFbVz2wG3XcDtEPlx/R6Hqrxvt3A4w2AxWCYiIiIiIqoCIVShOpc9Nya6lGlKhBNAKJadNzyh5gsPx5GdQ1xiX3fvAXWOJlQdAFe2FkCuJkC+un7R1HU2S2mV/dx9bYJOqcZgmYiIiIiIaAzSNAG/C/C7+g5WTSkRz847Hk2q+aNzc5GraddU73U8JdEeBhLpgwfXvdE1VW0+V03fmr2v64BFKzyubnNF/tT+5yrvRxISs5uG+IGMMgbLREREBABYvXo1Vq5ciTfeeAOpVApz5szB5ZdfjptuuglWq3XA23vttdewfPly/PnPf0YoFMLkyZNxzjnnYNmyZWhqGmdnTEREY5QmBjaVnSlVlfxEdlq63JR1xfOepzJqnHUyW3E/k62yn5sOLm2oKe7yVfX7MTVc2hiGNzvKGCwTERERbrzxRqxYsQIWiwULFiyAx+PBiy++iCVLlmDt2rVYv349nE5nv7f3m9/8BpdddhkymQzmzZuH2bNnY/PmzXjwwQexevVqbNiwAXPmzBnBd0RERL3RhEq5tluB4ayqb0oJw1BT1RXmW1dT1hkm0NZjotGnD9vrjQbt0KsQERFRLXvmmWewYsUKeDwevPLKK3j22Wfx1FNPYevWrZg7dy42bNiAZcuW9Xt7e/fuxZVXXolMJoOHH34Yr776Kp588km89957uOKKK9Da2opFixZBDjQPkIiIxixNqLnUnTZVaMznUtNg1Xs1NPk1NPq0g6aTj0UMlomIiCa4e+65BwCwdOlSnHTSSfnlDQ0NeOihhwAADz74IEKhUL+29/3vfx+xWAyf+MQnsHjx4vxyXdexatUq+P1+bNq0CevXrx/Gd0FERDS8GCwTERFNYHv27MGmTZsAAIsWLap4fP78+Zg+fTqSySTWrVvXr22uWbOmz+15PB6ce+65AICnn356sLtNREQ04hgsExERTWBbtmwBAASDQcyePbvXdU455ZSSdQ8mHA5j27ZtJc8byvaIiIiqhcEyERHRBLZ9+3YAwIwZM/pcZ/r06SXrHsyOHTvy9/va5kC2R0REVC2shk1ERDSBhcNhAIDb7e5zHY/HAwDo6enp9/YOts3+bC+ZTCKZTJYss9vtsNvth9wHIiKi4cBgmYiIiMace++9F3feeWfJsiVLluCWW24Z0nbjKYlIuAtWCyBT46sqK/VfuKer2rtAo4DHeXyJ9JjQ0ho6O639fk5XV+UxDgaDw7lbB8VgmYiIaALzer0AgGg02uc6kUgEAODz+fq9vdw2/X7/oLZ366234uabby5ZNhw9y/GUhMebhtcfhNfJYLmW+fyjd0JN1cPjPH4kYMLr0hAM9j9YBkY3OC7HYJmIiGgCmzVrFgCgpaWlz3Vyj+XWPZiZM2fm7+/atQtz584d1PaYck1ERNXGAl9EREQT2IknnggA6Ojo6LPg1ubNmwGgZA7mvvh8PsyZM6fkeUPZHhERUbUwWCYiIprApk2bhnnz5gEAHn/88YrHN2zYgJaWFtjtdpx99tn92ub555/f5/YikQjWrl0LALjgggsGu9tEREQjjsEyERHRBPetb30LALB8+XK8/vrr+eUdHR249tprAQDXX399yfjjNWvW4Oijj8bChQsrtnfjjTfC5XLh+eefxyOPPJJfbhgGrr32WnR3d2PevHn41Kc+NVJviYiIaMgYLBMREU1w5513Hm644QZEIhGcdtppOOuss3DRRRdhzpw5ePPNN3H66afj7rvvLnlOKBTCu+++i/fff79ie1OmTMGjjz4KXdexePFinHbaabj00ktx5JFH4rHHHkNzczMef/xxCMECW0RENHYxWCYiIiKsWLECTz75JD760Y9i48aNWLduHaZNm4bly5fjxRdfhNPpHND2Lr74Yrzyyiu44IIL8MEHH2DNmjUwDAPXXXcd3njjjfy4ZiIiorFKSClltXdionj6L61IigCaA7xGUct6Qp2cxqDG8RiPL9GERCwJnHOKFW57/3oyOzs7qzpVBY2ceEriiRdbEazn1FG1jN/TEwOP8/hyIGTC79Jw1on9nzqq2u0xozYiIiIiIiKiMgyWiYiIiIiIiMowWCYiIiIiIiIqw2CZiIiIiIiIqAyDZSIiIiIiIqIyDJaJiIiIiIiIyjBYJiIiIiIiIirDYJmIiIiIiIioDINlIiIiIiIiojIMlomIiIiIiIjKMFgmIiIiIiIiKsNgmYiIiIiIiKgMg2UiIiIiIiKiMgyWiYiIiIiIiMowWCYiIiIiIiIqw2CZiIiIiIiIqAyDZSIiIiIiIqIyDJaJiIiIiIiIyjBYJiIiIiIiIirDYJmIiIiIiIioDINlIiIiIiIiojIMlomIiIiIiIjKMFgmIiIiIiIiKmOp9g4QEREREdHISBsSAoAQgCYAIUS1d4lo3GCwTERERERUA9IZiVgKiKckkmlASsCiq8dMqX6WUgIABABZcishIaAJwGYFnDYBhxWwWRhg08TFYJmIiIiIaJyKJSW6oyo4tlpUkNvo1dDoE/C5BDwOASFUsGyahVvDlDAlYJjq50z2NmVIdIYleuLqNpFRgbRFB+xWwKoL2CyAVVeB+HAH0qaUSGWAZBpIpiUSadUr7rYDHoeAzcLAnUYPg2UiIiIiKiGzAUuiKGAxTdULCaieSKDwMwDoOuC0FXokNY1BzUhJpCVCUYlYEnDZgcl1GmY0aAi4BbwOAYdt6J99KiMRSUhEEkA4LtEVMRGKq6A8EpdIG0DaAAq/Dap/WhOA0ABdFJZKWbhF7n7xU4sIqN5su1Ug4NIQ9AIZA9jfLdEWkkgZEhYNcDuATErCkZHQBKBr7AGn4cdgmYiIiGgCM6UKgOIpiXgKSGfU8lzA4ndpOMwL+J0aHDYBKWU+pdfM/ssYQHfURHtYIhyXaO9R29UEoGmqZ7B03CzgsAo47aqnkg4tmZYIxSSiCZUmXe/RcOJsDc1+gYBbDHugaLMIBD0CQU9uicrnThvq9yWRkvmLKRkDMCRgGOrxVEZmA2kVNAstG8xCwKIByP4eaLl9zv5OWHXAbRdw2wF3WS9y2lA96N1RibYeE/u71e+aoUsYpuohl0XRt8gG0FZd9bhbdQGrBbAzrZwGgMEyERER0QSSTKseyVhK9R4LqB5hh1VgZoNAvVeD1yngcajAxW7tb2ChwzQloknVExlOqJ7JVEbCMFQwY2RTgFMZIJqQ6IlJpE0JXQBOu+qVdtoAnb3SANQFjFBMIp5UAXLQLXDsNA3NAQ0NXlGV3nurLmDVVUr0aL9uo0+g0QccMVlH2pDYs88Gf8CKdPb3K2MAGVP9XqfSQCRpIhIHokmpfk6oQB+Q0DXAkf29d1gBK9O7qRcMlomIiIhqVC54jSVVrzGkGnfqtAvMbNDQ4NPgc6pxrR4HYBliL6+mCXidgNd56O3EU2pcbDgu0Rkx0RZSKb9dEQnTVIm6uq4CGbtVZHsHRy+QzhiqxzQXiKWzP2eyPwMSluz4XZtFBZA2y9DG8Rqm+gwiCRXcOW1A0KNhxiw1BjnoEbyQkGXV1ZjsOs/BZsJVveFmNoCOp9TfQyQh0R010RGRiCWAUEwiY0gIURhK4LQN/e+Bxj8Gy0REREQ1wpSq1ziakEik1BhSl0Mg6NHQlE3X9bsEvE5R9fRnFZAINPsBQIeUKpCJJiWiCVXVuTtioiuqAv1IQmYDV1kYK51NtdWz6d5aNr03GjFh6Cr4KafSx1XqrswVuJKqwFXxGFqLpgJfiy5g0QGvQ8CZTRF22TVICUQSJnpiap9jSaA7KvPjeHNVpvVsCrJFz90X+fR0XVM97ZGEeo+aUOnHMxo0TAqoADngqk4Pci3RNKF6kW0CdUVp5VKqVPJwXGYDaIkDIXUBpzsqYZhqKAGzHiYuBstERERE41gqo9KZIwn1s8sG1Lk1TJmuguSAW4x6yuxgCKF6tz0OAfhzS1VAE08ByUwhvTaVyRUgk0imC8Wm0hn1WFITvQbKgApI1fhV1Sts0VSKs8OiCmPZraqnONdjrMZu9xUkqZ7LjKGCrtw4XjVuF9neTBOxJJBIqX3LZNOFjYzq8RRQx+u46QJBr4agR11EoJEnhMj3JDf5C8tjSRUw98QluqKFrIeOsISUErqu/s5cdpX5wDHQtYvBMhFRL1TKoswXsCm+DfeYiJpmvvqm6s0Q+UIiNkv/qsCaphxQb0HGKJwc5qbVyFUVLVZcrVb1bKjXKfSSFE39YSkqsEJE40Ku97gnJpHMADYd8LsE5kxSadV1bhV01soJvBACLrsKTPqrvd2KuqA1/7Ms+qJUvbrD+9lYdAFPn+N49ZKfDFNm07pVQSwhUFPHqxa47AIuu0BzACjOeuiJqSC6I2LiQI+6SNWaAgRM2KzqOR4He59rCYNlKpGbzD6dkbBbVcpKtdO0iEaDKVWF0Z64GifmsqvCNpbs+DhdU9OiWDQgbNXg9GlIZ3sP0oYKpFNplfqYzKhpVwRUIG3Rs4VHylL8NA2QpqrdqQnVs2HLVuzMGNnekUxhuhZdK1SnzVU/9TgEXLZCD0ohqJf5CrUpA4gnJRLZoj7xVLbQSVwiZah1i8fe2bPFTmysGEo0ZpimRDihTtYNQ6XqTgpomFavod4rUOcWHF9ZRNPG7tjeXJti41n4uFGS9QAA0GGYEuG4Om8IRU20hiS6ohJ7OiUMQ8JhU+u77ZxGbTwbE3+mq1evxsqVK/HGG28glUphzpw5uPzyy3HTTTfBarUeegNlXnvtNSxfvhx//vOfEQqFMHnyZJxzzjlYtmwZmpqaRuAdjE+mVNUV4yl1Am2YqpfJlR1DFE+pggeGkT2RtqhUFVc2RYkn0TTe5Rq6cFxd5Xc7BKYF1clng7fvqTg6O60IlvRYyHwVznhaIpEqTMESjpuIJgGnNZuuZSuk9ln0QspeLt0rnA3WdR1o9Gn5sYWObEEet33oY6ZMUwXhiew+xlMS8TTQEzPRHVVXzzsTqvdaolDwxONQr82/faLRkT8Zj0kYEvA5BA5v1jAlqKHRp/WriBYRjQxdEwi4gYBbAA0a5kK1p10RFTTv6zLRGZHoDEtIacJhVxe3XXYWDhtPqh4s33jjjVixYgUsFgsWLFgAj8eDF198EUuWLMHatWuxfv16OJ3Ofm/vN7/5DS677DJkMhnMmzcPs2fPxubNm/Hggw9i9erV2LBhA+bMmTOC72jsSqbViXEsqU6UdQE4rIDHKTC7SY2R8bkEfE51Mh9PqYIVkYQ6ee6KqKqBXVEVDGiazPe+OWxM5aTxIZ5SAWk8qVLfvE6BIyZrmFynTj4HM65PCJFPb3bYBOAuflTv62m9ygWyNsvIpXFpWmGMVl3JI2pf1bQyhQq60YTEvm6JUMxEWwiAkHDb1XeHo99TyhBRf2SM3IUzAFJ9Rx05RcOUOg2Nfg3uAaQiE9HoctoEnEGBKUHg2Ok6Iolc8GyitVsVDdsXU4XDdA354QUc9zx2VTVYfuaZZ7BixQp4PB689NJLOOmkkwAA7e3tWLBgATZs2IBly5bh/vvv79f29u7diyuvvBKZTAYPP/wwFi9eDAAwDANXXXUVfvGLX2DRokV45ZVXav4X0jRlPtiNp1Rqps2i/iCn1Wto8qupIvyuvtNDcn/Ajb7cEh0ZI1shMCbRGZHY32WiJy5xIKTGazhsIjvOg+M1aGxIGyq9OldF1WFVV4E/NFUFx/XegcwhOvJygWw12a3qMylUDAU+LCV64kBnxER7j7pi3hVWqd1WC/JzsvLvnmhgpFQXyCJxdWFKaAJ+p8Bx01U15AYfiz0RjVdqSjaB6Q0aMDM7XVpMzZ3dETFxINT7uGeXncMgx4qqBsv33HMPAGDp0qX5QBkAGhoa8NBDD+GMM87Agw8+iGXLlsHv9/e1mbzvf//7iMVi+MQnPpEPlAFA13WsWrUKa9euxaZNm7B+/Xp8+tOfHv43VEUZo9ALlEyr8Y8OK+BzCRw5WSuZKsI2hEnXLbpAnUedRM9uUkF5JDs/XVfUxL4uFUh3RSQMKeHIpp7yJJpGi2GqYQXheDaDQlPTfcxuUiee9V5OwzEYQgj4XYDfpWN2k/qcu6OFi2b7QxJ7OlSqmdOuvmt4gk9UKWOo76hYSmVpCaiL2aq91tHkVwHyUNpqIhqb8tOlBYC+xj13RyVauyQypoSmFVXdZhZnVVQtWN6zZw82bdoEAFi0aFHF4/Pnz8f06dPR0tKCdevW4bLLLjvkNtesWdPn9jweD84991w89thjePrpp8d9sJzKqN6yaFL1llk09Yc0KaACAr9LBccjXV1R0wR8LtXIT2/QMHeGCtpDsWyqSZeJrogqdmCaMt+77XbwihkNjWGqE001bYj6mwBEtmFRfwtTg5q6uOMeW73HtUDXBOq9AvVe4IjJOuIpiY6wRHuPiT2dJrojEq1pCVv2op3LzkaeJq60odrESFxVzHfaBBq8Gpp8qjZCbggUxzESTSy9jXtOplXHU09MojPb+xzOZnECZqHoaH7+7qLZOKxsa4db1YLlLVu2AACCwSBmz57d6zqnnHIKWlpasGXLlkMGy+FwGNu2bcs/r6/tPfbYY/nXHm+SadXYxpLqj8FtV71lTb5Cz7Gjyj05xdUCp2bHa8RTar9DMYn93SqFs7VLIm2o9E2XXa3Pq+h0KIm0RCSuxtFrQl2dddgEmnwCQY+A26EKYHmcguP6RpnTJjCtXg3zOH6maujbeiRa2k0VRIckdF3C6xTwOplpQrVPStVj1B1VJfCDHoFjp6nhHz4XMy+IqHe5GS+a/QCgl1TCD8UlYkkTyTTyHQZpQ83GEckV5szOxmGzqvnB7RbVK812d3CqFixv374dADBjxow+15k+fXrJugezY8eO/P2+tjmQ7Y0VaUMiFFV/JDYdqPdq+PAslaIVcItx0TubSzmZXAccPVXPXzHrjqpeqNaQOqlOpdUk7+4JVuxASjkh3udAmVJVhU6ksxkUafWl73MJHDFZR2P2IpHLxikZxhpNUxcvgh7gqCk6wnGJth4T+7tN7O2U2N0uASHhdYK9aVRz0hmJjoi6sJ0rzjWjQUdzYHy02UQ0tmhabhiUgIpkKuftTmfUbByx7JDMSEKda4diqhZCR0QNnQTUsA+HDXBY1ew2DKIPrmrBcjgcBgC43e4+1/F4VHWZnp6efm/vYNvs7/aSySSSyWTJMrvdDrvdfsj9GA6GqX65wzE1D2udW+CoKapab7137M4b2F/FV8yOmqLnLwh0xyQ6wib2d6ufW9OAEFJNV2WvnaAoV3AqnFBzZQqo6Xl0XU0vpHpLJ8aXl2mqK6JpA0hnVCp1Iq0K0gmR/UK3qumcpgQL0zlNhM+mlqjeZB2HNatMk/YeiX3dBnZ3SOztlDClCa9TpaFamWFC41RuKIJpAk1+gZMP0zGljtM7EdHI0jUB3aZm46grC4FMUyKWAqIJmZ/hpiMi0R1RmXrt4VwQLWG1qI4qu1XAblEzfLAzZwxMHTUW3XvvvbjzzjtLli1ZsgS33HLLkLYb7ulCSphwCq3iMcNUYxMiCRU8+ZwCMxs0NGcLfVh1ARhAqHtIuzBmaQCCNiBYDxxWp8Zm9MRUAH0g2/McT0mYUs0F7bSqMZC2MTgONdzTVfKzYappiqJJFQhaNJV23ugVaPRrcNgEogmJ7qiaj6+1W815a5rIT2jvHMfjPTOG6iFOZtTY4rQBQF3chNAAqwZYLWq8jcehLqR47CI7p7C6UJJP0U+Pjb+Brq6uQ69EfXJrwJwgMMMn0R6WaAuZ2N1p4kCbCjRcDgxr4BxLqFkBOjutSPYzPb+vYxwMBodln6g2SKna7Y6wCatFYHq9hsMn6Zhcx15kIqo+TSsMjyyWK4aqpolU9Ya6oya6o6q9DEVVZwYgoYnC8M+RroU0FlUtWPZ6vQCAaDTa5zqRSAQA4PP5+lynfHu5bfZWPbu/27v11ltx8803lywbjp5lry+NpAjA51fBsgqQVdVeKQF/QODYeoEpdTqa/BN7DG9j0X0p1R9xT0xmp6ky0R6WiCclItm5cu3ZHlmXDSPSM2VK1QucMYGMof5JSFi0wvy6qtCCgGFKSGsdogkVHOoa4HYJTGoSmBJU81n3VXAqdwUwHFfZBbs71HjP7qT6svI4VWXn/r5Hw1T7AKjPKXcrsrcWffiC8OKCW4m0SkUUUEGw3SFQZ1MpREG3Ssu3Z9N/7Bbk74+nHmMGTcNjUpO6TRuqV66128SudhNdUYmeBOB2YMiVtXW7hJ4EgkHrgMay8xhTjinVWMBUtphgMqOyYaRUQ4eOma5jdqOORh8r7RPR2Kdrqn5IaeaLGh+dSKsgOp7KpnQn1Sw37T0m2nsAn0uizj1xvuuqFizPmjULANDS0tLnOrnHcusezMyZM/P3d+3ahblz5w56eyOZcp0x1RXoSFwFKz6XwIemaZhSpxrZahfoGouKi4ZNgRr3nM7O9xyKqZTtth7VC90aksgYEkJkqwJaVPBss6ifc2MjTal6sAwTMKW6VUGwupKWMdSy4qORC4otmoCuAxoE0gaQSEkYJpA2s8FuRKK5AZhcp1LnAy6VOuzqx0l68RXA3BjvcFylp7eGTOzpLLxHoHCRwGFT7y+RUqmAsZTqmdY0wJH9K8925kJK9c+Eep+QMv94ceCvCfVlqgm1HV3r5XMy1etIWXgtp11gUkAg6NHyPcO1lEZPI8Oqq9+bSQENx05XaWJtIRU4d0cl9ndxPmcaWVKqk8Rcdf1UBshk1JiQXLEcmyVXg0MV1XTZVVXrgJu/j0Q0/mmaytzs7Zy1Oyqxq83A+60mdrZJOO0S9Z7aHz5VtWD5xBNPBAB0dHRg+/btvVbE3rx5MwCUzMHcF5/Phzlz5mDbtm3YvHlzr8HyQLY3UgxTnRQeP0ulWDf6OKXNYFj1QgGhnGRa9TznguiemEQ4oXo7e1Kq+EEmW9xACEAX2aAw2yNs0VWKiTObZuK0abBbVMBtywbcuVurRQXShfG2EqnsuNuekBWzp1mHrdJpbrznrCYdqUx2+pGE+tfWo95rV0QFrw4L4HYIzGwUqHOriqu51Jt8kCxVr7hpAqmM+tzULRBNmogmVcp0Kq3WTRuAmVEXAso/J5cNcNs1OLMVzT0OBsU0dBY9V9dAwzHT1O94ezg7n3N3bj5nCbcD8DgFHPwOpUFKZVSbEU2oC39Ou8p0Ud+fgNepwZUthOO0q2npbJaJl4ZIRBRwCwTcFhwxRWU+bt1nYl+XCUCizlO7KdpVC5anTZuGefPmYdOmTXj88cdx2223lTy+YcMGtLS0wG634+yzz+7XNs8//3x897vfxeOPP44vfvGLJY9FIhGsXbsWAHDBBRcMz5sYoGOm6fD5rWjwTewU65Fitwo0WgUay7LsU9mxsrn5eIHcvHRq/HB+fjrLwOd+tmuqd7e4D7pTaCM2JYjNItDkF2gqGmWQNlSRhmQGAwhW+3q8ssJipqgHWdfUxQNWL6bRomlCzZXtUfM5x5ISnZHCOOfOsKqkb7WqIQoeBy/WUP8cCEk4bOqC5DHTVQ9x0KPB7Rh4W0BENFE4bWpWktlNGvZ1SexoM7C3UxXvdNpln0MNx6uqFvj61re+hfPPPx/Lly/HWWedle/x7ejowLXXXgsAuP7660vGH69Zswa33norpk6dihdeeKFkezfeeCNWrlyJ559/Ho888giuvvpqAIBhGLj22mvR3d2NefPm4VOf+tQovcNSTX4NwWBlcS8aWbne4FqtSGrVVTAxEnIT349OHXiiQ8ul9U+r13D8LJVV0RGR2Ntpoq1HYle7qurpdqjgmUNbqJzdAhzWrGFSswVBz/iZhpGIaCyx6ALTGwSmN2gIxVT21/utJtp6TBiGCU+23ojDOr4vYlc1WD7vvPNwww034IEHHsBpp52GhQsXwu1244UXXkB3dzdOP/103H333SXPCYVCePfdd5FIJCq2N2XKFDz66KO47LLLsHjxYvz4xz/GrFmzsGnTJnzwwQdobm7G448/XpMpAkREE42uCTT4BBp8ahq6aFKiM6yKkOzuNNEVkUik1dCL8kqgNHFpmsDcmRYEg/qhVyYiokPyuwT8Lh1zJmto75HY3Wlid4eJcFyivUfVCtI0VfPG76r23g5M1aeOWrFiBU4//XSsXLkSGzduRDqdxuGHH46lS5fipptugs1mG9D2Lr74Yhx22GG455578Je//AVbtmzB5MmTcd1112HZsmVobm4eoXdCRETV5LYLuO3qKvfxs9RY546wxP5uE7GkKoJHREREI0PXBJoDAs0BDR+epepB5OrsdMey1bSd1d7LgRFSSnno1Wg4dHZ2ciqSCYDHufbxGI8/UsoBZRXxGNc2Ht/ax2M8MfA4jy+5sHM8tcdV71kmIiIaaRx+Q0REVF3jsS1mtSkiIiIiIiKiMgyWiYiIiIiIiMowWCYiIiIiIiIqw2CZiIiIiIiIqAyDZSIiIiIiIqIyDJZHSTKZxAMPPIBkMlntXaERxONc+3iMax+PcW3j8a19PMYTA49z7RsLx5jzLI+Snp4e+P1+hEIh+Hy+au8OjRAe59rHY1z7eIxrG49v7eMxnhh4nGvfWDjG7FkmIiIiIiIiKsNgmYiIiIiIiKgMg2UiIiIiIiKiMgyWR4ndbsftt98Ou91e7V2hEcTjXPt4jGsfj3Ft4/GtfTzGEwOPc+0bC8eYBb6IiIiIiIiIyrBnmYiIiIiIiKgMg2UiIiIiIiKiMgyWiYiIiIiIiMowWB4Fq1evxplnnom6ujq43W6ccMIJuO+++5BOp6u9a3QI6XQaL7zwAv793/8d8+bNQyAQgNVqxaRJk3Duuefid7/73UGf//zzz+Pss89GQ0MDnE4njj76aNx2222IRCKj9A5osG655RYIISCEwLe//e0+1+PLPkJLAAEAAElEQVQxHl9SqRQeeOABzJ8/H8FgEA6HA9OmTcNZZ52FJ598stfn8BjXBrbF4xvb44mJbXHtGjftsaQR9Y1vfEMCkBaLRX7qU5+SF1xwgQwEAhKAnD9/vozFYtXeRTqI5557TgKQAOSkSZPkZz7zGXnJJZfI4447Lr988eLF0jTNiud+73vfkwCkEEJ+/OMflxdffLGcNGmSBCCPOuoo2dbWVoV3RP3x17/+VWqaJoUQEoC8++67e12Px3h8aWlpkcccc4wEIBsaGuQ555wj/+3f/k1+7GMfky6XS1544YUVz+Exrg1si8c/tscTD9vi2jWe2mMGyyNozZo1EoD0eDzytddeyy9va2uTc+fOlQDkN7/5zSruIR3KCy+8IC+88EL55z//ueKxJ554Quq6LgHIn/3sZyWPvf7661IIIXVdl+vWrcsvj0ajcuHChRJAr18EVH3RaFQeccQRcurUqfK8887rs4HmMR5fYrGYPProoyUAeccdd8hUKlXyeDQalVu2bClZxmNcG9gW1wa2xxML2+LaNd7aYwbLI2jevHkSgPz2t79d8dhf/vIXCUDa7XbZ3d1dhb2j4fDlL39ZApALFy4sWX7xxRdLAPIrX/lKxXN27NghNU2TAOTbb789WrtK/XTDDTdIAPJ3v/udvPLKK/tsoHmMx5dly5ble576i8e4NrAtnhjYHtcWtsW1a7y1xxyzPEL27NmDTZs2AQAWLVpU8fj8+fMxffp0JJNJrFu3brR3j4bJiSeeCABoaWnJL0ulUvmxU70d+5kzZ+L0008HAKxZs2YU9pL6609/+hN+8IMf4Atf+ALOPvvsPtfjMR5f0uk0Vq1aBQD493//9349h8e4NrAtnjjYHtcOtsW1azy2xwyWR8iWLVsAAMFgELNnz+51nVNOOaVkXRp/tm7dCgCYPHlyftl7772HWCwGoHCMy/HYjz2RSARf+tKX0NzcjO9///sHXZfHeHx5/fXX0d7ejilTpmDOnDl48803ceedd+Kaa67B0qVL8bvf/Q6maZY8h8e4NrAtnjjYHtcGtsW1bTy2x5Zh3yIBALZv3w4AmDFjRp/rTJ8+vWRdGl/279+PRx99FABw4YUX5pfnjmcgEIDX6+31uTz2Y8///b//F9u3b8eaNWtQV1d30HV5jMeX//3f/wUATJs2DUuXLsV9990HKWX+8e985zs48cQT8cwzz+S/s3mMawPb4omB7XHtYFtc28Zje8ye5RESDocBAG63u891PB4PAKCnp2dU9omGTyaTwRVXXIFQKIS5c+fimmuuyT/GYz/+rF+/Hg8//DAuvfRSnHfeeYdcn8d4fOno6ACgrjh/5zvfwbXXXot3330XoVAIzz33HI488khs2bIFn/nMZ/LTCPEY1wYex9rH9rh2sC2ufeOxPWawTDQIX/3qV/HCCy+gvr4ev/nNb2Cz2aq9SzRIoVAIX/7yl9HY2Igf/OAH1d4dGgG5q9bpdBqXXXYZHnzwQRx55JHw+Xz4xCc+geeeew4OhwNvvfUWnnjiiSrvLRENBNvj2sC2eGIYj+0xg+URkksTiEajfa6Tm0Db5/ONyj7R8PjGN76BH//4x6irq8tfBSvGYz++3Hjjjdi9ezcefPBBNDQ09Os5PMbjS3HaVnGvU86MGTPwmc98BgDw/PPPlzyHx3h843GsbWyPawfb4olhPLbHHLM8QmbNmgWgtCpjudxjuXVp7PvmN7+JBx54AIFAAOvXr89X3yyWO57d3d0Ih8O9jq/gsR871qxZA4vFgoceeggPPfRQyWPvvPMOAODHP/4xnn/+eUyaNAlPPPEEj/E4c9hhh/V6v7d19u3bB4B/x7WCbXHtYntcW9gWTwzjsT1msDxCcl/aHR0d2L59e69VODdv3gwAOOmkk0Z132hwbrnlFnzve9+D3+/H+vXr+6zId9RRR8HlciEWi2Hz5s34P//n/1Ssw2M/tmQyGbz00kt9Pr5jxw7s2LEDM2fOBMBjPN6cdNJJEEJASon29vZ8IZBi7e3tAArjnniMawPb4trE9rg2sS2ufeOxPWYa9giZNm0a5s2bBwB4/PHHKx7fsGEDWlpaYLfbDzqHHI0NS5cuxXe/+134/X4899xz+WPbG5vNlk8h6e3Y79y5Exs3bgQAnH/++SOzw9Rv3d3dkFL2+u/KK68EANx9992QUmLHjh0AeIzHm0mTJmH+/PkACmldxdLpdP4E7dRTTwXAY1wr2BbXHrbHtYlt8cQwLttjSSNmzZo1EoD0eDzytddeyy9vb2+Xc+fOlQDkN7/5zSruIfXHbbfdJgHIQCAgX3311X4957XXXpNCCKnruvz973+fXx6NRuXChQslAHnhhReO1C7TMLnyyislAHn33XdXPMZjPL48//zzEoCsq6uTL7/8cn55Op2WX//61yUA6fV65f79+/OP8RjXBrbFtYPt8cTEtri2jLf2mMHyCLvhhhskAGm1WuW//uu/ygsvvFAGAgEJQJ5++ukyFotVexfpIH77299KABKAPOWUU+SVV17Z67/eTrS+973vSQBSCCHPPPNMeckll8jJkydLAPKoo46SbW1tVXhHNBAHa6Cl5DEeb+6++24JQFosFvmxj31MXnDBBXLWrFkSgHQ6nfJ//ud/Kp7DY1wb2BaPf2yPJy62xbVnPLXHDJZHwZNPPik//vGPS5/PJ51OpzzuuOPk8uXLZTKZrPau0SH89Kc/zTfOB/s3c+bMXp//3HPPyX/913+VwWBQ2u12ecQRR8hbb71V9vT0jO4boUE5VAMtJY/xePPss8/Ks846SwaDQWm1WuX06dPlVVddJd9+++0+n8NjXBvYFo9vbI8nLrbFtWm8tMdCyuyEV0REREREREQEgAW+iIiIiIiIiCowWCYiIiIiIiIqw2CZiIiIiIiIqAyDZSIiIiIiIqIyDJaJiIiIiIiIyjBYJiIiIiIiIirDYJmIiIiIiIioDINlIiIiIiIiojIMlomIiIiIiIjKMFgmIiIiIiIiKsNgmYiIiIiIiKgMg2UiIiIiIiKiMgyWiYiIiIiIiMowWCYiIiIiIiIqw2CZiIiIiIiIqAyDZSIiIiIiIqIyDJaJiIiIiIiIyjBYJiIiIiIiIirDYJmIiIiIiIioDINlIiIiIiIiojIMlomIiIiIiIjKMFgmIiIiIiIiKsNgmYiIiIiIiKgMg2UiIiIiIiKiMgyWiYiIiIiIiMowWCYiIiIiIiIqw2CZiIiIiIiIqAyD5QnijjvugBCiz392ux3BYBDHH388LrvsMvziF79AKpWq9m6PGX/6058qPrNHH310UNuKx+P4/e9/j//4j//A2WefjSOPPBI+nw8WiwU+nw9HHXUUrrjiCqxduxZSyuF9IwB27twJTdN6/T149dVXh+11Hn300Yrt/+lPfxqWbWcyGaxZswZf//rXccopp2Dq1KlwOp2w2+2or6/H8ccfj4suugjf/e538dprrw3La1KpDRs24Dvf+Q4uuugizJ07t+IYnHzyyfjyl7+M//mf/xmR32Oi8Yht8dCwLR44tsUTj5QSZ5xxRq+/Wzt27Kj27o0/kiaE22+/XQIY0L/DDjtMvvnmm9Xe9THhj3/8Y8Xn89Of/nRQ2woGg/0+BvPnz5e7d+8e1vfyn//5n32+3te//vVhe52f/vSnFdv/4x//OOTt/uhHP5IzZswY0O/ynDlzZCqVGvqborzDDz+835//vHnzZEtLS7V3majq2BYPDdvigWNbPPGsWrWqz2Owffv2au/euMOeZerTBx98gHPOOQexWKzau1JTkslkv9fdsGEDFi5cOKzH4Je//GWfjz355JPIZDLD9lrDKR6P4+KLL8ZXvvIV7Nq1a0DP3bZtGwzDGKE9o0PZtGkTzj33XB4DokFgWzwy2BYPDtvisW3fvn1YunRptXejpliqvQNUPRdeeCEuuugiAEAsFsNzzz2HJ554omSdnTt3Ys2aNbj88sursYs1TdM0nHnmmViwYAGmTp2K3bt345e//CXeeeedkvXeffdd/Pd//zduu+22Ib/m66+/jn/+8599Pn7gwAGsX78eZ5999pBfaziZponLL78ca9asqXissbERn/3sZ3HiiSfC7/cjHA5j165dePXVV7Fhwwak0+kq7PHE0NzcjIULF+L4449Hc3MzMpkMtm3bhsceewx79+4tWXfLli148cUX8clPfrJKe0s0NrEtri62xf3Htnjs+/rXv45QKFTt3agt1e7aptHRW+rX7bffXrHexRdfXLHeTTfdNPo7PMYMZ+qX3++Xixcvlu+//37FY8lkUn7yk5+seK0Pf/jDQ3wHyk033VSxbU3TSn6+7LLLhuW1hjP16/vf/36v6UTf+MY3ZCQS6fN5HR0d8sEHH5QzZ86U8Xh8kO+EevPKK69IwzB6fayzs7PXNO37779/lPeSaGxhWzw0bIsHjm3xxPHb3/625LjMnDmTadjDgGnYVOJf/uVfKpYlEomKZX0VjIjH47j33ntx8sknw+/3QwiB73//+wBUIYhnnnkGy5Ytw9lnn41jjz0WU6ZMgcPhgMPhQHNzM8444wwsXboU7777bp/72FeBDyklHnvsMSxcuBD19fVwOByYM2cObr75ZrS3tx/0fadSKXzve9/DySefDI/Hg0AggI9+9KN4+OGHYZrmwD7EQ9i4cSMefvhhHHbYYRWP2Ww2LF++vGL5tm3bhvy6hmFU9FZ86EMfwqc+9amSZb/97W8RDocPub1wOIzbb78dxx57LFwuFxoaGrBgwQI8+eSTQ97XYpFIBP/5n/9ZsfzGG2/E97//fbjd7j6fGwwGcd1112Hr1q2w2+0Vj5f/Hl111VUAgHXr1uHcc8/FpEmToOs6PvzhD1c8NxqNYtWqVTj33HMxffp0uFwuOJ1OTJs2Deeccw4efPBBRCKRPvftzDPPLHntWbNmDXq9q666quK9AEBbWxtuueUWHH300XC5XAgGg/jEJz6Bp556qs/96q9TTz0VmtZ7E1JXV4dzzjmnYrnD4Rjy6xJNBGyL2RazLWZbPBDhcBjXXXdd/udLL70UZ5555rBtf0KrdrROo6O/V7NvvfXWfvUG9Xal8pe//KU86qijKpb/93//t5RSyra2tn4XgdB1Xd599929vpferiyvWLFCLly4sM/tHX744XL//v29bq+trU2eeOKJfT73jDPOqLhahyFczT6UaDRa8VqBQGDI23322Wcrtrts2TL5yCOPVCx/9NFHD7qtbdu2yVmzZvX5mV100UXy//2//zcsV7N//etfV2ynoaFBxmKxQX4SBeXbvfLKK+XXv/71iuUnnHBCyfPWrVsnGxsbD/l73NDQINeuXdvra//Lv/xLxRXgwa535ZVXVrz23/72N9nQ0NDnvl155ZV99gwPh09/+tO97hPRRMa2mG0x2+JKbIuH3hZff/31+W0Gg0HZ2tra6/6wZ3ngGCxPEIdqoKPRqFy7dq30+Xwl6zidTrlv376K7fXWQHu93l6/CAbTQOf+PfbYYxWv3VsD7XA4Drmtyy+/vGJbhmHI008//ZDPnTRp0qg10G+99VbFa33kIx8Z8nY///nPV2z373//u2xra5O6rpcs/8QnPtHndiKRiJwzZ86gPrPBNNBf+cpXKrZz7bXXDuGTKOjv73BxA/3MM89UpMsd7J8QQj799NMVrz3SDbTf7z/kvt16663D8jnmdHV1yc2bN/d6zD73uc8N62sRjUdsi9kWsy2uxLZ4aG3xyy+/XPJZ/OQnP+lzfxgsDxwLfE1gd955J+68884+H/f7/fjFL36BSZMm9Wt74XAYmqbhsssuw5lnnolMJoPXX38dwWAwv47D4cBpp52GefPmobGxEcFgEFarFV1dXdi0aVNFBcg77rgDV1xxxSFfO5FIwOl04rrrrsNxxx2Hv/zlL/jxj39css7q1avx0EMPwefz5Zc9+uij+Otf/1qyntVqxdVXX41TTz0V+/fvx8qVK9HS0tKvz2A45FLlin3+858f0jZjsVhFQY45c+bghBNOAAB8/OMfxx//+Mf8Yy+++CL27duHyZMnV2zrO9/5TkUqmtvtxvXXX49jjjkGH3zwAX7wgx9g//79Q9rnnK1bt1YsO/XUUyuWJRIJPPPMM31up6mpCQsWLDjoa+VS3k488UQsWrQIDQ0N2L59O7Zv3w4A6OjowBe+8IWKdMBPfvKTuPDCCyGEwFNPPYX169fnH5NS4qqrrsLHP/5x1NfXH/T1h1MoFMKpp56KL3zhC3A4HPjtb3+LtWvXlqxz33334Utf+hLmzJkz6Nd54okncNlll/X5uNPpxJe//GX813/916Bfg6iWsS1mW8y2uBTb4v5Lp9NYvHhx/rNYsGABvvjFLw7LvlNWtaN1Gh2Dmdvx61//uuzq6up1e71dzQYg16xZ0+c+GIYhE4nEQffz29/+dsU233vvvZJ1eruaDUA+++yzJestXry4Yp0//elPJevMmzevYp0f/ehHJevs3bu316ucI3E1+4knnpBCiJLXmTNnjoxGo0Pa7i9/+cuK/V+yZEn+8QcffLDi8d5S/kzTlM3NzRXrPv/88yXrvfHGG71e8R3M1exjjjmmYju///3vK9bbt2/fQX+f/+Vf/qXiOb2td9FFF8lMJtPrvtx1110V619yySUV6/VWnOeuu+4qWWekr2Z/5CMfqZjP8oorrqhY75Zbbun1dfvrV7/61UE/96985Svy3XffHdJrENUKtsVsi9kW/0vFc9gWD74tLp6v2+l0ym3bth10f9izPHAs8EV9+sEPfoAPf/jD2LFjR7/W/9znPofzzjuvz8c1TYPVasVTTz2Fz3/+8zj++ONRV1cHq9WaL4TwH//xHxXPO1iBkZyPf/zjFcUxerty2dramr/f09OD1157reTxadOm5QtL5EyePBlf/vKXD7kPQ/XrX/8an//85yGlzC/z+XxYs2YNXC7XkLb9i1/8omJZbqoSADj//PPzhShyHnvssYrn/POf/yz5DAHgtNNOw8KFC0uWHX/88Tj33HOHsst5xZ9HTvm+Dher1YqVK1dC1/VeH//DH/5Qsez222/v17LenjuSli5dCqvVWrKst7+v4l6MkfCjH/0Ixx13HB555JERfR2iWsW2WGFbXMC2mG0xoHr777777vzPt99+Ow4//PCB7yQdFNOwJ7DiuR0zmQx27tyJn/70p3j//ffz6+zcuROLFi3Cxo0bD7m9z3zmMwd9fP/+/fjsZz+LzZs3D2g/u7u7D7lOb5VD6+rqKpbF4/H8/e3bt1ek8Jxwwgm9fjmfdNJJ/djTwfvhD3+I6667rmR/3G43fve73+G4444b0rYPHDiA5557rmTZzJkzccopp+R/njJlCj760Y+WHOc33ngD//jHP3Dsscfml/VWCfTkk0/u9XVPOumkg6Zi9VdDQ0PFsgMHDgx5u72ZN28empqa+ny8/GTR7XbjmGOOqVgvV5U0Fovll7333nvDt6P9UHx8c4466ii43W5Eo9H8sqFWd/3Yxz6GX/3qVwBUiuG2bdvw29/+tmQO0Vya2NSpU8fcvKFE1ca2mG1xDttihW1x/1xzzTX5KvknnHACvvnNbw5+R6lP7FmewI477jhceumluPTSS3HFFVfgtttuw5YtWyrK4b/88st45ZVXDrm9mTNnHvTxK664YsCNM4CScVN9mTZtWsWy8it5QOmV0d6mZGhsbOx1+wf70h6qu+++G1/72tdKGudAIID169dj/vz5Q97+E088UfEZXnjhhRXr9bas/Ip2NT6zI488smLZpk2bKpZNmjQJUhUt7PUKeH8c6nc4FAqV/NzXewcq33/5c8v1NS1KKpU66PP60te+lS/vz9QkBzNjxoz898iXvvQl3HPPPXjrrbdw7bXXVqx7//33D+m1iGoR22K2xYdaxra4FNti4G9/+1u+N1rXdfzoRz+CxcI+0JHAYJlKeL3eXq9Kv/HGG4d8rs1m6/OxrVu34oUXXihZpmkaPv/5z+Ohhx7Cr371K/zqV7/CV7/61YHvdB+vfaj0IK/XW7Gsra2t13VH4uqplBLf+MY38P/9f/9fyfIpU6bgz3/+Mz72sY8Ny+v0lvb1ve99r2IuwN6uSD7++OMljV01PrNPfvKTFct+/etfD7rhOpiD/Q4DqtBOsb7eO1D5/sufW/77mU6ne93OYAva9LVv5ct7O6ZDJYTotWDRYE7QiSYitsVsi4uxLS7Ftrh03nXDMDBv3ryK36Wf/exnFc+bPXv2QeeTpkoMlqlCb1fVOjs7h7TNN998s2LZN7/5Tfz85z/H1772tfxV9d7SfEbK7NmzoWmlfwJvvPEGDMOoWLd8PNVQZTIZfOELX8ADDzxQsvzII4/Exo0bMXfu3GF5nffee6/XK7/91dLSgpdeein/c29jYfr6bIbrMzv77LMrKle2trbijjvuGJbtD0T5lfVoNIq33367Yr233367JO0LAI444oiSnx0OR8nPXV1dFVfhP/jgA+zdu3dQ+9pbYPrOO++UpH0BvR/TkdKfnikiUtgWsy3OYVtcim0xjSYGy1QiHA7jd7/7XcXy/k5Z0ZfertS53e6Sn3fv3o2HH354SK8zED6fr2L80+7du/Hoo4+WLNu3bx9++tOfDtvrxuNxfO5zn6u4ynzqqafir3/96yHTjwaityvZA1Wc/nXsscdWpDT97W9/q+ip+N///d+KqREGy+v1YunSpRXL7733Xtx+++0jclW7L2eddVbFsuLiGjl33XXXIZ9b/jeVTCbx5z//uWTZ7bff3mdK2KEsX768Ijj9z//8z4r1zjzzzAFve9WqVdiwYUOfj0spez2BOuywwwb8WkQTEdtitsXl2BYXsC2m0cTk9gnsrbfewhNPPAGgtKjIrl27StbTNK2iwuJAHX300RXLli9fjlgshg996EN4//338dBDDw35qvlAXXPNNRVX/b72ta/h9ddfx0c+8hHs27cPK1euRE9Pz7C95ic/+cmK+STr6+uxePFiPP/8830+77Of/WzFSc2h/PKXvyz5WdM0/OQnP4Hdbu/zOYsXLy4ZO/PUU09h5cqVcDgcEELg6quvrvii/9znPofrr78exx57LN5//3384Ac/GHTD0pubbroJf/zjH7Fu3bqS5XfddRd++tOf4vzzz8cxxxwDl8uFzs5O/O1vfxu21y527bXX4rvf/W7J5/OrX/0KnZ2duOCCC/JzOz777LMlz/N6vfja175WsuwjH/lIxcngBRdcgNtuuw1+vx9PPfUUfv/73w96X1955RXMnz8fX/jCF2C323ud21HTNFx99dUD3vazzz6La6+9FjNmzMDChQsxd+5cNDQ0IBaLYefOnVi9enWvxUr+7d/+bdDvh6hWsS1mW9wbtsV9Y1sMHHPMMfnimn1ZtWpVReD/wAMPoLGxccC/wxPaKE9VRVUymLkdc/+++tWvVmyvt7kdDzVv38knn3zI15o7d+4h51DsbW7H3uZZ7M96mUxGnnbaaYfcL5/P16/X7I/BHoeBzo3317/+tWIbZ5555iGfd/nll1c879e//nX+8XA4LA877LBBfWaDmdsxp6enR5511lmD/vz6M7fjlVdeecj9eOqppyrm3zzYPyGEXL16dcV22tvbe50ztPyf3W4v+bm/cztOmjTpkNse7LyOn/vc5wb8+R9//PEyHo8P6vWIagXbYrbFANvicuXrsC0eHpxneXgwDZsO6ktf+lLFWJ7B+uUvf4nm5uY+H//yl7+Mm2++eVheq790Xcdvf/tbnHDCCX2uc/zxx4/LOWJ7S/u65JJLDvm83tYp3pbH48Ef/vAHzJgxo89tLFiwAPfcc08/97R/vF4vfve73+F73/veQStf9ubDH/7woHpQe3PBBRfgt7/9bcXYrd4Eg0E8/fTTJfNo5tTX1+OHP/xhxVi9HIvFgv/6r//CaaedNqj9XL9+PaZMmdLn41dcccWwH6PeCCHwb//2b/jzn/9cMTaMiPqHbTHb4vJtsS1mW0yjg8Ey5dntdjQ1NeFjH/sYvvnNb+L111/Hj3/8416nfRiMo446Clu2bMH111+PWbNmwWq1oqGhAQsWLMCTTz6JH/3oR8PyOgPV1NSEV155Bd/97nfx4Q9/GC6XC16vFyeffDLuv/9+bNq0aUSnqxgJ6XQav/71r0uW6bre65QU5T796U9XVIv8/e9/j46OjvzPRxxxBN588038x3/8Bz70oQ/B4XAgEAhg/vz5eOSRR/Dcc8+NSIqPEAI33XQTdu7cicceewxf/OIXceyxx6KxsREWiwVOpxNNTU04+eSTsWjRIvzgBz/AO++8gy1btuDyyy8ftv347Gc/ix07duDBBx/EZz7zGUydOhUOhwMOhwNTpkzBWWedhRUrVmDHjh0477zz+tzOokWL8NJLL+Gzn/0s6uvrYbVaMW3aNFx55ZV4/fXXh3TCOnfuXLz55ptYunQpjj76aDidTgQCASxYsAC//vWv8dhjj/U6j2l/rFq1Cr/61a9w3XXX4aMf/SgOP/xw+P1+6LoOj8eDWbNm4dOf/jTuvPPOfIpp+e8UEfWObTHbYoBtcX9M9LaYRoeQcpCToBER0Zhw1VVXVUwRwa92IiKi0cO2uDaxZ5mIiIiIiIioDINlIiIiIiIiojIMlomIiIiIiIjKMFgmIiIiIiIiKsNgmYiIiIiIiKgMq2ETERERERERlWHPMhEREREREVEZBstEREREREREZRgsExEREREREZVhsExERERERERUhsEyERERERERURkGy0RERERERERlGCwTERERERERlWGwTERERERERFSGwTIRERERERFRGQbLRERERERERGUYLBMRERERERGVYbBMREREREREVIbBMhEREREREVEZBstEREREREREZRgsExEREREREZVhsExERERERERUhsEyERERERERURkGy0RERERERERlGCwTERERERERlWGwTERERERERFSGwTIRERERERFRGQbLRERERERERGUYLBMRERERERGVYbBMREREREREVIbBMhEREREREVEZBstEREREREREZRgsExEREREREZVhsExERERERERUhsHyKAqFQtXeBRoFPM61j8e49vEY1zYe39rHYzwx8DjXvmofYwbLo8gwjGrvAo0CHufax2Nc+3iMaxuPb+3jMZ4YeJxrX7WPMYNlIiIiIiIiojIMlomIiIiIiIjKMFgmIiIiIiIiKsNgmYiIiIiIiKgMg2UiIiIiIiKiMgyWiYiIiIiIiMpYqr0DREREI6k7KtHWY+LwZg2aJqq9O0REY1YqIxFNSKQMIJP/J5ExgLQJaALQNcCiqVtdE7DogMMKuOwCdiu/Y6m2MFgmIqKalEhJbNtv4O3dJoQApgQ1uO3V3isiorEhkpD5f+GYRHtYoicukUhJpE3ANAEBQAoAEgCk+hkCEICQarEAYLMAdquA2yEQ9AB+lwaXXcDnFPA5wQuVNG4xWCYioppimBI720z8c7eB/d0SDitg1XmiRkQTm2lKdEVVUNzSbqIjIhFPSRUUC9U77LAJBL2qt1jvZ4BrSol0BkikgVDMxIEQYJgmAMBpA/wugSl1Guq9Guo8Ah4Hv49p/GCwTERENaO128Q/WgzsajdhtQAzGwUSKSCWrPaeERGNvlRGoiOshqK0tJvojkok04DNCnidAkGP6HdQ3BdNCNitgN0KqH5mRUqJeAroiUvs785AQMDlEKj3CExv0DA1qDFwpjGPwTKNOikl0gaQygBpQ12NTBtAOqOWC6HGxGhCpe3k7lstgM0iYLeodB+m9BBRTioj8c8WA//cbSCVAZoDxWPnZFX3jYhotEgpEYoBnRET+7tN7O9WqdWmCbjsQJ1HwGEbnfMnIQRcdjWWGVA929Ek0BoysaPNhN8pMKtJw4xGDY1ewfM6GpMYLNOIMEyJWBKIJVWKTyINxJMSobhEOK6uamYMCcMEMiZgmIVrkbmxMeWnuRYdsOqAJVtMwmUXcNtVeo/bkf1nF3DZGEgTTSTtPSa2bDews91Eg1dgUh3//omotqQNiVRGXRhMZdR4YsNU51KmVIW4UhmJ3R0SXVETsaQ6b/I4BCbXiTExFEXTBLxO1aNtSomeGPDWrgze2SswOaDhsGbV28wiYTSWMFimIZFSXSWMJFT1xEhCojMi0R2VSKQlkhlAmtkCEEIFuzYLYLWoK5u6pr7MNaGuQB7sdTJmoTJj2lDjbg70qB5pQG3LYRVw2ICgR6DBq8HvEgi4Rf6qJhHVDsOU2LbPxBs7DUSTEtMbxsYJIRHRQJim6lRIpFVHQyItEU8C4biJWEp1PKRzlalNVZnaNAvFtXKdCgISDpuA1ynQ5D/4eVW1aUIg4AYCbh2JlMS+bhO72k3UewWOmqJjRoPGczcaExgsU79JKRFLAeG4RE9Mojtm4kBIIpoA4ulCgQhVEVFdOWyw9r9AxMEIIWDN9ixnl1SskzFUY5NMS2w/IPHePhOaANx2gTq3wKSAQMDN4hJEtaAnJvH3HRm832rC4wBmNmrV3iUion5LpiXaeiT2dhnY16Uy7pIZNTQtFwHnM+p0wKILuCzqtj+dDOOJwyYwNShgmGp89YZ3Mqj3CBwxWcOsJp3nbFRVDJapT6Yp0RMHuqOqIMS+7LiXXOVETQNcNsBpV5UThyMoHgqLLuDJphzl5NLB28ImdndISKh07UafwNQ6DfVegbphKG5BRKNDSold7RJbtmfQEZaYHBRwMGWPiMaB4gB5d4fqeJAAPA4VMPpcqmOgVoLggdI1gSa/QINXZQ/+7T0Db+8xccQkDTMbNQTcYsJ+NlQ9DJYpzzQlQrHctAIm9neptOpEWj3utCE7f974CS71ovExgJreIJoA9naa2N5qwmYFAi6BqUENTX4NTX4Bm2V8vDeiiSaZlnirxcA/WgzoGjCzSUDjiRMRVZmUEuE40B2T6AybCMUkDKlSpU0TMKRaJ5FGPkD2OoGp9ePnfGo0aZrIdmZIhKLAax8YeHuPgUafCpqb/GqY3XDIHbu0IRH0MBinSgyWR1F3xERaM+GwCThtqHpQJqVEJAEVHPeY2Ntloiemyvzrmqqa6HcLNFtr5yqnJkqD52RaFRz7+44MNCHgdwvMbNAwKaCh0c/xj0RjRUfYxOsfqCJeTX4OpSCi6grHVY2WzoiJfV0qQI6nAEDCZhHQNJVNnTt90oTKgGOA3H+aEKjzqAresaTE/m5VRdtjB5oDGmY0aJBJE7CZanCeAER2mJ6uIV8Xx6IVCr/mguOuaOmxM01gar2GOZN0TK7jMaICBsuj6M0WA13pNOwWwKqrgNnnEvA5BZw2VYTKaQOcNgGHdWQqOksp0R2TaAtJ7Go30d6jikcIURQcB2onOD4Uu1VNL9PgU2OeQ9lxkJqmCoPNbNDQ7FfjnJ2jNNUCERWYpsT7rSb+vt1AJCkxo0HAwotYRMNCSpmdxlEVy0zlimhmVFHN3GmImtJR5Kd2tFsBu0UV1JwoacO57Lu2Hok9ndmaLUlVWstlV0PAGv2AJlg/YSS47Oo8OVdYtqXDxAetJlLxNLy+dKGSjShcpNBz049quQKzAhlTpb/HUmo9l111oAgB7GwzsbPNxJQ6DUdM1jC1XmOnCTFYHk2Gqf5YfS6BVAaIJlXKczpTqGRotagGyGYFfE6BOpeawN1lU3PVObO90gNpmEyzLEAOm4gmAYdV7UuDH0xlhLriW+8VqPeqdJyemBoXqQk1zrnJLzApoCHoUYE0v0CJRlYsKfHGzgze3WPCZQdmNDBFjmiwUhmZnbkid/5hojOsggajl6kcc9M4An1P5WjVBexWNUTL61Bto9epMj/c9vEfRJumREdEBci72kx0RlQHQ+78qd7HoSCjTQgBj0NdnDClRHengMeX6zXO/o5mb43s77Npqgrj0aSEECo4buzl3Hd6g0AqI7E/ZGJ3h4nmgMDhk3R4HSIbrFc/K5RGH4PlUaaJQsBbXtFZSjU1QG4evX1dEjvb1B8/UAik7VY1t3CdWwVxLpuA066qPgNqGqdwHNlpnEx0RrJjj1OAw6aeO9anFKg2a1HgbJgqXX1nm4n395uw6oDXJeB3CVg1wGYFrJqAxaKmr4qHDaR1M58xQEQD1xoy8dr7BvZ1mZhUx78looHK9YS2hyX2dploC0kk0xKJjDr70HUV9Nks6u8rl7Lan/TTtCGz8/oC8ZQq/rkzo85XNE2d53jsQKNfIOBS2Vl17vGRFZLLwGvtlthxQHUwJNOAM5t9x3ncxw5NqHOv/gWw/TtuNouqzJ02VGXuv76dgchmU9gsKmgOuAG/S4Pbrnq83Q4B5whlhFL1MVgeQ4QQsFnU1EsHC6STaTXp/PYD2YZJFAJpAPn5jQVUw+e0AQG3gJNf8IOiawJ+F/LFJFIZNc55b6eEKaH+mdmVJRDuySDQmoYzO9dhs1+NhfY41L+BZgYQTSS5uZO3bM8gmQFmNHLsGFF/ZbIn+G09Jlo6JLoiJuIpdY7gdQoEHeo8Y6htkFVXVZt7u/BvmGrsbiQp0bZbwjRMWLPTSU6pE2jyaQh6NHidY6ctzI1jPdCj0nAPhEzEk4DDDgQ9Ag5erJtwrLqachRQxWFTaSCZAXriJtrDgGGYkNnpvew2AVf2XLvOo4Jot53nfLWCwfI4URxIlxe2Kf4jBoD6YWoMqXc2i+p17kuPXYPTIxBPAl1RE/u6VDqQRVNTQ7jtQNArUOfW8qlqbgercBNFkxJv7MjgnT0mfC6gKcCxf0T90R2V2Ndl4v1WA51hdXG9WnVIdK2QJpuTTKsMt3+0SLwlTbhsQNCrCjQ1BwQCrtEfYpHKSHRFVJr17g4TndkharlZMpoDbJNJ0YQan+/o5eJQ2lBzZCfSEjvaJLbuNQCh5sJ2WFXqdtAjEPRoaParYJrGFwbLNaD0j5jGAqsuYHWpMU05aUOlwkeTEu0RCcNQ3dG5Qikeh0DQC/idWjatp1DsjRc+qNbt7zbx2vsZ7O+WTLsm6odURqUK72wzsLtDBXpuB9AUGHsXX3PFNOu96gJ/PAm0h03sbjfhtANNfjUl0KSANmKV7k1TIhRXAXJryMS+LpUlljFVD7nHwRouNHC5LIvy39vcOV8sqaqmpzOq9sa0eg2zGnVMqmPtm/GCwTLRKLHqAtaiaasAlfqVzADJNNAdM7E/BJjZnG6bpVBt1OtUY6Td9kKRCbddnXwQjWexpMTWfQb+udtA2gBmNgqO+yI6iEhCBcjv71c1SQA1tU7jOKlFoopmqowqAIgm1JjqHQfMfKr2lKAa5+x3Dv77QEpVqDNXu2VPp4lwXM11rAnA4wQmBQSsY+zCAtWG3s75IgmJD1pV/ZsGn8CcSTqmBrWSdWjsYbBMVEVCqJ5jhxUoTu3JjVHPpfaEYhLbWwuVSO0WwGZVKdx1HpEtNKEKqIylcWBEfUllVPGcf+w20NEjEfQy7ZHoYLqjEjsOGNi6X80L63UCU4Ljo2jWwbgdqkCSKVWl7vdbTby7V/XC+V0C0+o11HvVTBRWXbWDUhb+mVKlecdSqthYLKnazJa9aQh7CvHs9JjuXFo6s7WoSnK1a9KGynD46zsZeJ0CR0xW8zszaB6bGCwTjUGHKvaWyvZG98Ql2sKFlG5VzE3D1KAaH1PnEfkq6URjgWGqAoX/aDGwv8uEywHMaub0KzS6IgkJR1LCMcYr2EqpqllvP2Bge6tEOCERcAOzmmrvb0YT6mKv16nm0k1k27jN72encLQL6HppoAyo4Dk3R3Rumc0CpNISjf7epwgiqiarrqYjlT6JUAx4/QMD2/abOGqyhsMn6zxvG2MYLBONM0Ko6cPsVsBXFEjnxoF1R03s75IQQqVsBz0C9R4Bj1P97OZcgVQFaUONr9y6z8DONhMWHZjWMP57xWj8SWUkNrydgcWZzhfN9LkAj0PLj131Oas/zKWtx8TWfQZ2HDCRSEsEPRoafBNjrnEhVBXhXO0Cw1S9zmZ2aipApVKrdQGPU11gLg6Ke3Qtn+pNNBYJkZuGCuiKSry6zcC2VhNHT9Ewu1ln7Y4xgsEyUY0oHwdmmhLRpJoKo6WjMM2YzaKqcnvsAg0+Nb2Vx6FuXbax3ctC44uUEl1Rib2dJj5oVeMGhQCaA9UPRGjiMkyVtqs5VHGnAz0SuzsL9SLUlIuqQnOTX8DnUsGz1zk6hbO6Iibe22fgg1YT8aREo1/DpLqJXUFX19QFDaJaJITq2Ai4JTrDEhvfM/DuPhMBt8jO5azBpiObcZjrMFG3o1EkTEpV8TtjArqm/mlC3U6Ei3cMlolqlKYVUtpyctOMJdJAR8TEnq5sEK0BDgvgsKte6AavBr9LnSS67RPjy5CGTywpsb9bFezZ363mefU4gclBVv+kscNpE72OEUxn1PjXtrC60AipphPKZeo0+TX4nCqA9jiG7wJjKCaxbb+BrXsNRFNAg1egmdOnEU0YmlCdGEFP7kKzRMYAjOyFvNw3jcUC2HQBq0XVvHHb1feR064CaIdV1cPJBdR6H99Rufo4aQPIGOq7L2MCiZQaBhFPSnTHJcIxFSyb2U4XIdR5oybUxUVrdl9suvqutOkCFouApWgdFVwL6Jrq1PG7xs+5AINlogmkr7kCDVN9EcZTEtsPSLy3z4QuCieTkwICAbcqIOZ3sVoxVUobEm0hid2dBna1SfTEJSy6ml9yUh1/X2j8sFoE/BaUnMwl0xLxFLC7w8T7rSY0qO9Rj0MVpqv3aPC51Pdjf3ufEyn1d9ITVxWbdx5QUxvVewWaWOyOaMLSNIF6b+/fAaaU2cBWBbnhRHZqqqIx+wKqF9pqUfM9W4quuRX3fRimCpINqbIRc/elqWoBCIF8/RybVUATKmA2szUDMqaqoWNKCcPMPmaqbaidERDIbqvodnqjhk/MtQ7/BzdCGCwTEXRNjWN22UsD6HgK6ImbaA2p7z2HVc0dPbVOQ71PVSdlz/PEVZxmvf2ASrM2TVVxdkYDL6pQ7cj10ATc2WEusjCH6j9bJExpwqqrHpOgR6DZr2ULNJaSUM85EFJ/O/GUOkHVhPpund00McYkE9HgaCUFYIHyIrCA+n7KBdPpDJDMyJLHc0G1pgG6LmDTAEu211fXB1IQb+DfVQdCJtKZAT+tqhgsE1GvdE2lGHqyY6Bz1UkjCYm/7zQgpaGmq/IITA1qaPCq+ywcVvvCcZVmvbPNxIGQSrN2OzhnKU0cmqi8wJjKSMSSqvf5g1az7/NIKWG3qoKLzX7+zRDR8NKKCsEq/I4ZCgbLRNQv5dVJTalODNvDJnZ3mNA11TMypU71qtR7Nc4ZWEPiKYnWbhMtHSb2dklEEhJ2i+ppY5o1kSq8Y7MUep+JiGj8Y7BMRIOiidKe53RGzQH69m6Jf7SYcNvVmJtp9RrqvSo1sa8iEzQ2JVISbT0Se7sMtLSr8ZRWTaVZN3iZLlqLVq9ejZUrV+KNN95AKpXCnDlzcPnll+Omm26C1dr/MWZbtmzBH/7wBzz//PN466230NnZCY/Hg+OOOw6XXnopFi9ePKDtERERVQODZSIaFlaLCoiDnkKvc2vIxM52U/W2uASmBTU0+lXwzPkDx6biAHl3h0RPTE335HMJzOQ45Jp24403YsWKFbBYLFiwYAE8Hg9efPFFLFmyBGvXrsX69evhdDoPuZ1MJoOTTjoJAODxeDBv3jw0Nzdj9+7dePnll7Fhwwb8/Oc/x7PPPotAIDDC74qIiGjwGCwT0bAr73VOpiXCcYm/7zAghBrrPCkgMKlOBc4BVtiuqkhCor3HxP6QiT1lAfK0BmYETATPPPMMVqxYAY/Hg5deeikf7La3t2PBggXYsGEDli1bhvvvv79f2zv55JOxZMkSnHvuubDb7fnlb775Jj796U/j1Vdfxc0334yf/OQnI/J+iIiIhoOQUspDr0bD4em/tCIpApw3scb1hDrh8wervRtjlmFKRBKqSFQ6o6ZfCbhy6dqqwnZx0ZyxqLOzE8FgdY9x2pCIJlSgG0uqaZrsVjWu3J6dY7GvINc0JUIxifawxO4OE209KoVeF2pebp+r7+eOR9GEynQ45xQr3P383RoLx3g0nXrqqdi0aRO+/e1v47bbbit5bMOGDTjjjDNgt9vR2toKv98/pNf6xS9+gc9//vNwOp0IhUKjno4dT0k88WIrgvVB1lWoYWyLJwYe5/HlQMiE36XhrBP7/71f7faYPctENKp0TcDvKsxhGk+pXufXPshAE0KNdfYJTKnTUOdRczuPtwrbhqkqhydS6jaVkXDaBFw2AacdsOoDez8ZQwW3XVGJcEyiI6LmZk2kJJIZALIwJ6JFV4WGrDrgshXPi6jmQTRMNW1EPCURS6lqmT6nQNArBjBdBNWSPXv2YNOmTQCARYsWVTw+f/58TJ8+HS0tLVi3bh0uu+yyIb3eiSeeCACIx+Nob2/H5MmTh7Q9IiKikcJgmYiqymkrjF82TNVburfTxI4DJiwa4HGqlO0Grwa/W6Vs261jJ6iLp1TacndMoitioicGRJISaUMFybn5BDUNsFtUr6/XIRBwC3id2ekdLLlpHlQ1XYsG9MSBrqiJtp5s9em4RDKd3Y4VcFjVNmzWwpyIplRztqYyam7F7pgJKVUQnesoFkL987OKNWVt2bIFABAMBjF79uxe1znllFPQ0tKCLVu2DDlY3rp1KwDAZrNNqN57IiIafxgsE9GYoWsqBdjnKq2wvXW/xDt7VPDsdqgq281+DT6XgM8p4LZj1MY8RxISezpM7Aln0BqS6IpIRFMSpgnoGmCzqJ5dp031nlt1Ne2WYUqkMkAyrabb2tOpenxze22xAFZNFUrTNRWEx5OA0ACPA6j3HvoigSZE9vVzSxgM06Ft374dADBjxow+15k+fXrJuoMlpcR9990HADjnnHNKxjMTERGNNQyWiWjMKq6wDajgOZoEdneYeL/VhC4Ah7UQQNd7NHicAh6HgGsQ6c69SWVUQNwRkdjbaaIjItF6IA2PLwO7VaWNT3ELWA7xWrqWm6caKA9icz3CGQNIG2o8stcp0OQHp2eiERcOhwEAbre7z3U8HvVH2NPTM6TXuvPOO/Hyyy/D4/Fg+fLlB103mUwimUyWLLPb7QywiYho1DBYJqJxw2oRCFiAgDubdpwdGxxLZnufDROaQD6l2WMXqPOo3meXXcBhU+nLud7X8kA0mVbFsqJJVRSqI2Jif7caU22Yartep6oQHQjow/a+2CNME8HPf/5z3HXXXdA0DT/5yU9wxBFHHHT9e++9F3feeWfJsiVLluCWW24Z0n7EUxKRcBesFkCm+LdWq8I9XdXeBRoFPM7jS6THhJbW0NnZ/wJfXV2Vx3g0h/AwWCaicUvTVA9ycfVs01RFr5JpoCNiYm83YJrqMYsOWHXAoqvg1G0XcDvUeN7OiAqQk+ls0SyotGqPQ42ZthYVGetJ8gSbaofX6wUARKPRPteJRCIAAJ/PN6jXWL16Nb70pS8BAB555BFcfPHFh3zOrbfeiptvvrlk2XD0LMdTEh5vGl4/q2HXOlZJnhh4nMePBEx4XRqCwYHNgsBq2EREw0TrI91ZSomMmU11zqj06lhSYm+Xqg6d640OOkSvvc5EtWrWrFkAgJaWlj7XyT2WW3cgnn76aSxatAimaeLhhx/OB82HwpRrIiKqtjEx4e/q1atx5plnoq6uDm63GyeccALuu+8+pNPpQW3vtddew8UXX4zm5mY4HA7Mnj0bX//613HgwIFh3nMiGi+EELDqqvK2zyVQ79XQHNAwrV7D9AYNTX4N/mylbQbKNJHkpnLq6Ojos4DX5s2bAQAnnXTSgLb9zDPP4NJLL4VhGFi1ahWuvvrqoe0sERHRKKp6sHzjjTfikksuwV//+leceuqp+Nd//Vfs2rULS5YswYIFCxCPxwe0vd/85jc47bTT8Jvf/AYzZ87E5z73OWiahgcffBDHH388tm3bNkLvhIiIaPyZNm0a5s2bBwB4/PHHKx7fsGEDWlpaYLfbcfbZZ/d7u2vXrsUll1yCTCaDVatW4Zprrhm2fSYiIhoNVQ2Wn3nmGaxYsQIejwevvPIKnn32WTz11FPYunUr5s6diw0bNmDZsmX93t7evXtx5ZVXIpPJ4OGHH8arr76KJ598Eu+99x6uuOIKtLa2YtGiRZBSjuC7IiIiGl++9a1vAQCWL1+O119/Pb+8o6MD1157LQDg+uuvh9/vzz+2Zs0aHH300Vi4cGHF9tatW4eLLroImUwGP/zhDxkoExHRuFTVMcv33HMPAGDp0qUlqV0NDQ146KGHcMYZZ+DBBx/EsmXLShrovnz/+99HLBbDJz7xCSxevDi/XNd1rFq1CmvXrsWmTZuwfv16fPrTnx7+N0RERDQOnXfeebjhhhvwwAMP4LTTTsPChQvhdrvxwgsvoLu7G6effjruvvvukueEQiG8++67SCQSJcsPHDiACy64AKlUCtOmTcPGjRuxcePGXl/3/vvvR0NDw4i9LyIioqGoWrC8Z88ebNq0CQCwaNGiisfnz5+P6dOno6WlBevWrcNll112yG2uWbOmz+15PB6ce+65eOyxx/D0008zWCYiIiqyYsUKnH766Vi5ciU2btyIdDqNww8/HEuXLsVNN90Em83Wr+3EYrH8/Mi7d+/Gz372sz7XveOOOxgsExHRmFW1NOwtW7YAUKXAZ8+e3es6p5xySsm6BxMOh/PjkXPPG8r2iIiIJppLLrkEL730EkKhEGKxGN58800sWbKk10D5qquugpQSO3bsKFk+a9YsSCn79W8w1bWJiIhGS9WC5VzFzRkzZvS5zvTp00vWPZjixrqvbQ5ke0RERERERDRxVS0NOxwOAwDcbnef63g8HgBAT09Pv7d3sG32d3vJZDKfQpbD+R6JiIiIiIgmjqoW+Bqr7r33Xtx5550ly5YsWYJbbrllSNsN93QhJUw4RdVn7KIRFO7pqvYu0AjjMR5fYgmJeAro7LQiae/fHNpdXb0f42AwOJy7RkRERGNY1YJlr9cLAIhGo32uE4lEAAA+n6/f28tts7fq2f3d3q233oqbb765ZNlw9Cx7fWkkRQA+P4PlWufz84S61vEYjx+6XUJPAsGgFe5+BssAA2MiIqKJrmrBcq6oR0tLS5/r5B7rTwGQmTNn5u/v2rULc+fOHfT2mHJNREREREQ0sVWti/PEE08EAHR0dPRZcGvz5s0AUDIHc198Ph/mzJlT8ryhbI+IiIiIiIgmrqoFy9OmTcO8efMAAI8//njF4xs2bEBLSwvsdjvOPvvsfm3z/PPP73N7kUgEa9euBQBccMEFg91tIiIiIiIimgCqOnj2W9/6FgBg+fLleP311/PLOzo6cO211wIArr/++pLxx2vWrMHRRx+NhQsXVmzvxhtvhMvlwvPPP49HHnkkv9wwDFx77bXo7u7GvHnz8KlPfWqk3hIRERERERHVgKoGy+eddx5uuOEGRCIRnHbaaTjrrLNw0UUXYc6cOXjzzTdx+umn4+677y55TigUwrvvvov333+/YntTpkzBo48+Cl3XsXjxYpx22mm49NJLceSRR+Kxxx5Dc3MzHn/8cQjR/wIvRERERERENPFUvSzzihUr8OSTT+KjH/0oNm7ciHXr1mHatGlYvnw5XnzxRTidzgFt7+KLL8Yrr7yCCy64AB988AHWrFkDwzBw3XXX4Y033siPayYiIiIiIiLqi5BSymrvxETx9F9akRQBNAeqfo2CRlBPqJPTCtU4HuPxJZqQiCWBc07p/9RRnZ2dnDqqRsVTEk+82IpgfRBeJzPNahW/pycGHufx5UDIhN+l4awTrf1+TrXbY0ZtRERERERERGUYLBMRERERERGVYbBMREREREREVIbBMhEREREREVEZBstEREREREREZRgsExEREREREZVhsExERERERERUhsEyERERERERURkGy0RERERERERlGCwTERERERERlWGwTERERERERFSGwTIRERERERFRGQbLRERERERERGUYLBMRERERERGVYbBMREREREREVIbBMhEREREREVEZBstEREREREREZSzV3oGJ4qV/pLHuDQs0SwZ1HgGbRcBmAWwWwG5V9+0WAZsVsBcts1oATYhq7z4REREREdGEwmB5lOzplNjRrsOACas+sOfarQJ2C+CwiWwgrZY5bIDDKuCwqlu7DXBaBZw2ta7DClh0BtpEREREREQDxWB5lCw6wwa77EJM+hFwa0hlgFRGImUAqbREMgOk0kAyI9Vj2WWJNJBMSySzt5EEkEhLmGb/Xteiq+DZmQ2enbbsz3YBV3a50w64bAJOm4DLDlh1QLA3m4iIiGhCMKU614yn1G3uPDWdUffThkTaAEwTMCVgZG9NKSElIABoQp0/CgEIoX626oBFB6y6gNWi7tt0AbsVJZ0+msbzThqbGCyPIiEAiybgdgi41ZJBbUdKiYxRCKTjaSCZkkikVSCdSKkvu0T2Sy+e/TkUA5LpQ0fZuqaCZlc2eHZlA2uXXWT/Ae7sfbcdsFr4BUdEREQ0lpim6mTpiUtEkxLRBBBJSEQT2Z+TQCJ7nphIy6ruq82iMibd2XNLt0Pk73scAl6n+ud2cHgijS4Gy+OQEOrqnNUCeJ0D+8IwzcogOpbM3qaAWFIillSPxZISnREgbRw8wLbq6surOIAu/pJzOwQ8DgbWRERERMPFMCVCMYlQFOiOSXRHJXriEj0xdRtJqF7f3miaOm9z2gS8TsBh0+AqGsZns6hzTZteuG/V1fM0oQJWTQN0TXX9SABSqt5mme1xNk0gYwLpop7pjKF6qpNpda6ZTBfOSxNpFcy3dkuYB9lvr0PA5xTwuQTsQsekBgMBt0Cdm8E0DT8GyxOMphV6i/srnSkNpKPJ3H1kr0yq+91Rib1dZp9fzID6wnU7AI8928OevWLodhSWexwqNZxfdkRERDSRpTMSXVGJroi67YyooLg7KhHuIxh22VUwOSmgwedSwaUn/091YjisIz3kbvDbzqWERxMSkaS6DceLLwQA7WGJlg4ThmGBviudf66uCQTcQJ1bIOjVEHQLBL0CQY865+QwQxooBst0SFaLgN8C+F2H/oIxpUoDjyQKwXQkoQLsaKJwP/cl1xch1BXP3Bd77kveXf6zneNciIiGy+rVq7Fy5Uq88cYbSKVSmDNnDi6//HLcdNNNsFqt/d5OR0cH1q5di9deew2vvfYa/v73vyMej2PhwoV4/vnnR/AdEI0/ppToiQEdEROdYYmOiAqOOyMqSCxns6he1El1GurcAgG3QMAl4HerjEPrOC/uqolCvZ2Gg6yXykjsae1GRvOhO6ouJuQuJHxwwMS2/aXnmTaLQINXoMEnUO9V9+u96oICO2ioLwyWaVhpov8914apAupINoiOJIqC60Rh+YGegxc0ywfVzmzPtLOXIJtBNRHRQd14441YsWIFLBYLFixYAI/HgxdffBFLlizB2rVrsX79ejidzn5t6y9/+Qu++MUvjvAeE40vqYxER1j964xk72cDY6Ms79hmEajzCEyrVwFxnUcFyEGPCiTZQ6o+o3qPhM9fOc2MaUp0x9Tn3BmR+YsQHWGVBVnMqqvgudEn0OgXaPRqaPCp80h+zsRgmapG19Q4mUONuy7urc4H1QmVfpS7H0lItIcl+hpe3WtPdTao9hYF1Uz/JqKJ6JlnnsGKFSvg8Xjw0ksv4aSTTgIAtLe3Y8GCBdiwYQOWLVuG+++/v1/ba25uxjXXXIOTTjoJJ510El577TV89atfHcm3QDQmmFIiHAc6wmY+IM7dRhKlAbEQKmtvZqNAvUdTacMeFRAzUBsaTRPZz7LysXhKnTO290h0hM38/f3dpSeRDqsKnpt8Ao0+DU1+1SttY/2dCYXBMo15xb3VTf6+15OyUBwiHFeBdHGAnVt+sJ5qTaixPN58MF0IpL3ZcdVe52iM9SEiGj333HMPAGDp0qX5QBkAGhoa8NBDD+GMM87A/8/encfJUZX74/+cqt63memZyWSbLCTsmwkJBAnKl+DCvvODgMDVaxREBbwXAshFxCuIXK6RAHKRK8oie0AEZFU0oJCQXETRLJCQyTr7dPf0XnV+f5yu3iezbz2f9+s16e7q6urqqUmfeuqc8zwrV67EjTfeiKqqvXwRZxx99NE4+uijs4//9re/Df1OE42ieEr1VrZHCodNt0ck0kZpL3HQJzCzXgXDtX71U+MVsI3zIdPjkdsh0Fgr0FgLALle6VhSoiUk0dJloiUs0dKlko01tZoAjOx6NV6B+ioVPE+qEpgU0FDl4XlhpWKwTBVD5M1xqQ/0vJ7VUx2OSUQSEpEYMr3UEpFYrszCrs6ek5XpWmEg7XMjE0wLaGmBBmHC51J1BPnlSURj2Y4dO7BmzRoAwNKlS0ueX7x4MRobG9HU1IQXX3wRF1xwwUjvItGoSKZzQbCVXMtKtBVNlJ4gVHlUEBb0a5meYoFa9hKPG26HwIw6gRl1WnaZlCqhWHOXiZaQRHOXREvIxKZdBjbuzL3WYRMFwTN7oSsHg2WacPJ7qhv2sp4p8+ZUxyTCecO/wzE1r7qzW2JHe2E3tWE4oOtJALmh5vlZKH1FWSl9bgGnjQ0pEY2O9evXAwCCwSBmz55ddp0FCxagqakJ69evZ7BMFUNKlXS0s1uVYLICYStZVLmA2O1QvcT7NGR6iX2Z+cS+8Z9Yi0oJIVDlAao8OvadklueSquh3M1dEs1dJpozgfT2tqJeaF8ueJ5UpYZzsxd6fGGwTNQDTeSCW1T3vJ5pqsbWGubd0h6HoTkLhoC3ha0v0PJsevGQ71x96vwgmz3VRDTUtmzZAgCYMWNGj+s0NjYWrEs0HljTs0JRlewplKlF3BWV6MzUJi4eMg2oi+k1XoHZk3LJtYKZBFsuB9tgUpViptQITKkBrKHc+b3QKoiWaA6Z2LDTwIZyvdABNZy7PqCSiznt/NsaixgsEw2SlpeobEoNMNlrIlBV+l/LMIvmUccK6wf2JaguN/zb5xLZ+tTWY86pJqK+CofDAACv19vjOj6fypITCoVGZJ8AIJFIIJFIFCxzOp1wOp0jtg80tlkjwLoygXBXNFeLt63Lju5UEsl0aTCsabkh01VeDdUeVX7JKsPEoIUGoqde6GRaJRBTvc+54dzFvdABTy6ZWH1ADeMO+jivfbQxWCYaIbpmfYnu/Utvb0G11VPdUWb4d+F75bJ/F9emtu57XWo4OrN/E9FYdOutt+Lmm28uWHbttdfimmuuGdR2Y0mJSLgDdhsgk/z+G8uSaSAcF4jEBcJxZG5zP5G4gFkmt4gmAJeeRm0A8LskAm7143dJBFwSXpdap5xEFEiUf4rGoHCoY7R3oU98OuCrAfapUY+lBCJxoDWioS0isj+bdmrYsCP3OiGAao9E0Gui1icR9EkEvRJVbglbacWsMS8SMqGlNLS32/v8mo6O0mMcDAaHcrf2isEy0RjTn6DamlMdLqpN3R3vW6Iyq6RWNqDO3i8Mqn0utV9EVHn8fj8AoLu7u8d1IpEIACAQ2Ev2xCF23XXX4eqrry5YNhQ9y7GkhM+fgr8q2GvpQho+plTtltUrbPUIh2JqKGtXVCKRKt94Oe0CVR6BKUE1qqvKIxDwCAQy970uIBJKIFDlH+FPRaMhUDVygdNQqgIwrWiZYaoyY60hiZbMbWvIxNY2ia1tufWEAKq9AnV+LZtdvTYzXWAsTxWIw4TfoyEY7HuwDIxscFyMwTLROJVfp3rKXtazhql1F5XR6o6rHmur97o11HOdakAlNcnvpVY91yjpvWbmR6LxZdasWQCApqamHtexnrPWHQkccj2+GWZmWHRUBb5decOku6Jq+lG5C7maBgTcAg1VAn63lg2CAx6gyi3gd3OYNFUuXbOyahcuTxmqVFlLSJUqs2pEb95tYNOuwnU9zlzgHPRn5txnphhwSHf/MVgmqnD5icr2lv07v051JJ4LrguC6rjEznYgme45qnbYBLzOwiDamzev2pvZF5eDQ8CJxoJ58+YBANra2rBly5ayGbHXrl0LAAU1mGliy88k3dEt0dWtkmhZt+FY+V5hl11k52ZaPcJV2YCY04OIyrHrAg3VAg3VhcsNU2VxbwurILo9ooLq5pBEU5kcOH53LllddeanKjNnn/luymOwTEQA+l6nGlDJKkp6qeNAdyK3vDVc/ovaogkVROf3UFsBdn6w7XWCV0KJhtH06dOxcOFCrFmzBo8++ihuuOGGgudXr16NpqYmOJ1OnHTSSaO0lzQarKHSbZFcveH84DhVJpO0yy5Q5RWYUqOpE3E3CoJi9goTDR1dU4nA6orO22RmVKFVI7yjO1MaLSKxq0Pik5bS8zNreoP6QcFFrCqPOkeciME0g2Ui6jeHLTO8x7f39Qwzby51Inc/f0h4d0JdATX3MgTcZc/1SHvzeqiL77O3mmhgrr/+epx55pm47bbbcOKJJ2Z7kNva2nD55ZcDAK644gpUVeXGBq5atQrXXXcdpk2bhtdff31U9puGRiKlAmGrd6otnKs5XFxaSQh1Ej2tVqDaq0orWdmkq7wCLgbDRKNOiMy5kUugsa7wOSuQ7syUUsuVU1M/LaHyuW50TSCQmf7nd6tA2u9WlVj8mQ4Pj7PyctwwWCaiYaNrap5ZoJdkZaaUiCetnunSIeDdcYnuhMTuTolEqm+91Z6i3mkrkZl1nzWriXLOOOMMfOtb38JPf/pTLFq0CEuWLIHX68Xrr7+Ozs5OHHPMMbjlllsKXtPV1YUNGzYgHo+X3eaiRYuy91taWgAAa9asKVh+44034uSTTx6GT0TlRBMSrWEVDLeETBUch9X3bTGrtFKNT1PDNjNDN6s8ouJOhokmkvxAelqZvFmmKRGOF5Vki6pksqEYsKdLYltrz+diHqsjw1l4TuZ1ikwpt/H1/cFgmYhGnSbUF6nH2fsQ8JSR66GOJtScuWxwnZlb3Z2QaAkBxl66q3Ut9+Xtc6n3zn6hu4T6ss/sE3usaSJYsWIFjjnmGNx99914++23kUqlMGfOHCxfvhxXXXUVHA5Hv7b3zjvvlCwLhUIFy60gmoZWIqUSAbVkMum2hFSQHE0UBsV2XWXRnVmvAmIrq24NEwERTVhaH6qyJNMqL0EolhsxaFVmCcfUOVlHBEgVZY5NGcAR+0icf0z/2pPRxGCZiMYVuy5Q7VUlE/ZGSolESvVWZ4PoeCYzeEIF1N19HAYuhJrLrQJqQJc2VAdS8DgFPI5coO9xMLim8e28887Deeed16d1L730Ulx66aU9Pi97qllHQ8Y01fDp5pBES5dEc8hES5fKOJ3PYVPzGudO1lAXUAFxnV+D383vKiLqP4fNuri29/WS6dy5VndCYleHiem146tANINlIqpIQqig1eXo/cvcygRu9VRHE5nAOjM0PGotS0js7gSicR16q7HXbbrsAm4n4HHkEqe5nZn79sytU2WfdDvUrU3n0HAiKi+eVEHxnk7VU7ynyyr5lwuMNQ2o82torFNBcX1AoD6gIeDmdwsRjTyHTcDhA2p86vtHTeXQRnmv+ofBMhFNePmZwHsLrAGgo6MbNlcNogmJWFIF0tFkJqhOSsQSQCypgu2ObpV50uxDJ5uuqSDb5VC3zkwg7bTnHjvtKrB22qzHqjFy2gE7g22icU9Kia4o0NxlorlLBcV7ukyEooVfIj6XwMx6gfqAnqnLqhIvcj4xEdHQYbBMRNRPupbLBtkXUkok00AsqYJo9aN6imKpzG1SzTOMJYF4SmWkjKf2Pu+6HCtwdtjUkHUriLbbBBw2wJG5b7dllusi87y6b9NVD7dNUyW77NZjXSVQYzBONHQMUyXY2tMl0dxpZgJjiUQqFxgLAdT6NRzcqGFSlUBDlbr1OPl/kYhouDFYJiIaZkLkeoF7m2tdLG2ooDmeVLeJtJqLrX4kEml1m0wj8yORTKn73QmJzm61rC89232hayqg1jUVUOuaWqZn76uhoLqmgmst85wm8pdlboWAyHssRO5WQC0XsJardYHcOkBuXZG/DIX34ykJSAYWNLqSaal6ijNBcXOXSsCVP4zaYVNDpxuqtWxQXB9gsi0iotHCYJmIaAyz6QI+XQ25HAzDzAXUqbREykDmRyKdBpIGkDZUcJ7K3leP02bmvqm2kzYAI7PMlGpZIq2W5S83zaEL0gfDNIGgX2DZ552jvSs0AUipSuA1d+WC4j1dJjoihf8ZvE41jLqhSkdDtRpGXe0VTLhFRDSGMFgmIpoAdM2alw2MZI1DKSWkBAypglYz/zZ7X61jSpTeQt3P/zGhnsg+B6jH1v2i5bHk+KvrSOND2lDDqJu7pJpjHFL31d9cTtAncOB0HZMCApOq1VDqwV4AIyKi4cdgmYiIho2whloDQI/VIoY3aLBKhhENlJV0qyVTs7glU6qpPWIWjJ6w6wL1VQL7BzQ0VOeGUTtsDIyJiMYjBstEREREyA2hbg1JtIZVYNwaViWakunC3uIqj8A+DRomVWloqFJBModRExFVFgbLRERENKGYUpV1291poi0s0R5Rw6lbw4WZqAFVvq2hWmBSQEN9QEM9e4uJiCYMBstEREQ0Ydzxmzh+/4ETQktC13LLPU6VZKvOr6HOL1Af0FDrF/BybjER0YTFYJmIiIgmjDq/wNRqE1PqdEytUQFxrV/A7WBQTEREhRgsExER0YRx6f9zwiU7Eaz1w+9mgExERD3Tel+FiIiIiIiIaGJhsExERERERERUhMEyERERERERUREGy0RERERERERFGCwTERERERERFWGwTERERERERFSEwTIRERERERFREQbLREREREREREUYLBMREREREREVYbBMREREREREVITBMhEREREREVERBstERERERERERRgsExERERERERVhsExERERERERUhMEyERERERERUREGy0RERERERERFGCwTERERERERFWGwTERERERERFRkVIPlcDiM66+/Hvvvvz/cbjfq6upw8skn44033uj3tqLRKH7729/iiiuuwOGHHw6/3w+Hw4HGxkacf/75eOutt4bhExAREREREVElGrVgubm5GQsWLMCtt96KcDiMU089FQcffDBeeuklnHDCCbjrrrv6tb1HH30Up556Ku6++250dXVhyZIlOO200+ByufD444/j2GOPxX/+538O06chIiIiIiKiSjJqwfKyZcuwceNGLFmyBJs3b8YTTzyBN998E7/97W+haRquvPJK/PWvf+3z9ux2O7785S9j3bp12Lp1K5599lk89dRT2LhxI/7rv/4LUkp897vfxZtvvjmMn4qIiIiIiIgqwagEyx9++CGee+456LqOBx54AB6PJ/vcSSedhEsvvRSmaeLWW2/t8zYvueQSPPDAA5g3b17BciEErr76aixZsgQA8NBDDw3NhyAiIiIiIqKKNSrB8qpVqwAAxxxzDGbOnFny/NKlSwEAzz//PFKp1JC8pxVENzU1Dcn2iIiIKs2TTz6J4447DjU1NfB6vTj88MNx++23D7gtfu+993DuueeioaEBLpcLs2fPxje/+U00NzcP8Z4TERENvVEJltevXw8AWLBgQdnnreXd3d3YtGnTkLyntZ0pU6YMyfaIiIgqyZVXXonzzjsPb731Fo488kh88YtfxLZt23Dttdfi+OOPRywW69f2nnrqKSxatAhPPfUUZs6cidNPPx2apmHlypU47LDDsHnz5mH6JERERENjVILlLVu2AABmzJhR9vlAIIBAIFCw7mB88MEHeOGFFwAAZ5999qC3R0REVEmeffZZrFixAj6fD++88w5efvllPP3009i0aRMOPfRQrF69GjfeeGOft7dz505ccsklSKfTuO+++/Duu+/i8ccfx8aNG3HRRRdhz549WLp0KaSUw/ipiIiIBmdUguVwOAwA8Hq9Pa7j8/kAAKFQaFDvFYlEsHTpUqTTaXzhC1/Aqaee2utrEokEQqFQwU8ikRjUfhAREY1VP/zhDwEAy5cvx/z587PL6+rqcM899wAAVq5cia6urj5t7yc/+Qmi0ShOOOEELFu2LLtc13Xce++9qKqqwpo1a/DKK68M4acgIiIaWrb+vuCaa67Bb37zm36/0c9//nMsXry4368bjFQqhXPPPRd/+9vfsM8++/Q5udett96Km2++uWDZtddei2uuuWZQ+xMOdSApTLjFqJa3pmEWDnWM9i7QMOMxHl+icYlYEmhvtyPhFH16TUdH+WMcDAaHctfGhB07dmDNmjUAcjlD8i1evBiNjY1oamrCiy++iAsuuKDXbVq5Scptz+fz4bTTTsNDDz2EZ555Bl/4whcG+QmIiIiGR7+D5Z07d2LDhg39fqNIJJK97/f7Aag5yb2tbw3H7q90Oo3zzz8fv/vd7zBz5ky88cYbqK+v79Nrr7vuOlx99dUFy5xOJ5xO54D2xeIPpJAQ1QhUMViudIGqyjuhpkI8xuOH7pTQE0AwaIe3j8EyUJmBcTlWHpFgMIjZs2eXXWfBggVoamrC+vXrew2Ww+Fwdj7y3nKTPPTQQ9n3JqLxJ5WWaItIRBOAnvfVquuAwwbYdQG7DbBpgE0HdE1VqSEaT/odLD/88MN4+OGHB/Wms2bNwrp167Bt27ayz1tDn611+8swDFx44YV45pln0NjYiN///vdls273ZCgCYyIiovGgtzwiANDY2Fiw7t5s3bo1e7+nbfZne0Q0OMm0hE0HtCEKVKMJibawhJTApCoNC/bR4LQLxFMS8aREJC4RigGxpEQ8CaQNibQBGBJAJk+BhIQmRDaIVrcCQgCGKWGagCkBI3Nr0wCPU8DjVOsRjZR+B8tDYf78+XjmmWewdu3ass9by71eL/bbb79+bdswDFx00UV44oknsoFyT1fKiYiIJrqhziNibW9v2+zL9hKJREm+EF7MJuq7cEyiLWzCpgukDQDShMsp4B1A0CmlRFcU6OyWcNqB2ZM07NOgY3K1gE0vv520IZFMA8k0kMrel5nHQCIlEUtIxFMqsE4ZKpa2aQI2e65n2qED3QmgKyrREZEwpITTBnhdAobBJIE0vEYlWD7jjDPw3e9+F2+99Ra2bdtWcuX50UcfBQCceuqpsNvtfd6uaZq4+OKL8dhjj2UD5Tlz5gzpvhMREdHwG678IbGkRCTcAbsNkEn2UFWqiZxbIhSV6OiW8DiAGfUaZtTpSKWBrqiJPV0S7W0STUkJwwA8TqDKI+Cwl/+/YJgSXd0S4RgQcAvMrNfQWKuh1i8ghECobzn/oANwA3Db0GP0kTYkJFQvcrnh2t0Jia6oRCgq0Rwy0dEh0dzSjp3tEn43EPAI9jqPcZGQCS2lob297/FduRwiIzlNalSC5YMPPhinn346nnvuOXzlK1/Bb37zG7jdbgDASy+9hAcffBCapuG6664ree3FF1+Md999F1dccQWuuOKK7HLTNPEv//IvePTRRxkoExER9dFQ5xGxtmdts6qqakDbG678IbGkhM+fgr8qCL+bJ9aVbCLllrB6ftsjEn6PwKdna5gzWUPQV5onJ5qQCMVUL+2WZhNtYRORBOBzAdVe1VOcMtRQ61gSCAYFjpysYWa9Pqr/Z4IAGvMex5MSm7bZEEc1mtpMhKIq2A64BQIeDtcei+Iw4fdoCAb7HiwDo5tDZFSCZQD4n//5H3z44Yd47bXXMGfOHBx77LFobm7Gm2++CSklVqxYgcMOO6zkddu2bcOGDRvQ2tpasHzlypX41a9+BQCYM2cObrnllrLve8ABB2D58uVD/4GIiIjGISs3SFNTU4/rWM/1JY9Ifo6Qbdu24dBDDx3Q9jjkmqh3pql6kbuiKkicP1vH7AYNNd6ek8mqub8Ck6uB/aZqaA1L7O4wsaXFxM52ibRpwqYJTKoSWDhHR2OtBpdj7AWeLofAtKCGYNCGw2ZKNHdJ7OwwsL1NYlurhMMmUesTY3LfafwYtWB50qRJWLt2LW699VY8/fTTeO655+D1evGFL3wB//Zv/4YlS5b0a3vt7e3Z+3/4wx96XO+zn/0sg2UiIqKMefPmAQDa2tqwZcuWsnk+rFwi+TWYexIIBDB37lxs3rwZa9euLRss92d7RFQq2/ObAII+gUX7quHWAU//AkNdE2ioEmio0nDgdBVwtoRMBH0apgYF7D3MRx5rnHaBxjqBxjoNh8+U2Nlh4uM9JnZ1mEilTdT4NfjdQ5fkjCYOIaXkzPgR8syf9iAhqtFQzdJRlSzU1T6hhn5NRDzG40t3XJU2OWVB30tHtbe3T5jSUQBw5JFHYs2aNfjBD36AG264oeC51atX49hjj4XT6cSePXvKDqsuds011+DHP/4xTjjhBLz66qsFz0UiETQ2NqKzsxO/+93vRrzOciwp8dgbexCs5TDsSlap39PxpERrWGWLnlQlsO8UHdNrNbgnaO/p3r6rTVOiJSTxSauBrc1q6LnHCbgdAm4HYNdZymqkNXeZqPJoOHFe34dhj3Z7zKiNiIhogrv++usBALfddhvWrVuXXd7W1obLL78cAHDFFVcUBMqrVq3CAQccUHYk2JVXXgmPx4PXXnsN999/f3a5YRi4/PLL0dnZiYULF+Lzn//8cH0kooqh5iNLbG020BaRmBbU8P8OseNzh9ux7xR9wgbKvdE0gYZqDUfOteOk+XYsPsCGOr8GwwBaQxKftKjf6Y52E60hE+0REx0Ric5u9fsOx1QZLHXBVSKWlJlyWBKJlIRhSrDPsfKN2jBsIiIiGhvOOOMMfOtb38JPf/pTLFq0CEuWLIHX68Xrr7+Ozs5OHHPMMSW5QLq6urBhwwbE4/GS7U2dOhUPPvggLrjgAixbtgwPPPAAZs2ahTVr1uDjjz9GQ0MDHn30UfbqEO2FYUq0RyQiMcDvFji4Uceseh31AQGNyav6xecSOGCajgOm6UikVBAciQORuCqv1RWV2ZrOAGAYQFoCVmloKVXyMGQfA2lr/cxzAoAQQNAv4HPx+FQKBstERESEFStW4JhjjsHdd9+Nt99+G6lUCnPmzMHy5ctx1VVXweFw9Gt75557LvbZZx/88Ic/xJ/+9CesX78eU6ZMwTe+8Q3ceOONaGhoGKZPQjQ+mKZEZ1QFbaYJIBNyCQBSqOGfNT6BQxo1NNb2fz4ylee0CzjtArXZxP06gExALAEjEwybmWA4FzBnlmeC55Sh6kWn0up+2gA6uk1sbVY91fUBDV4GzeMe5yyPIM5ZnhgqdZ4U5fAYjy+cs0z5OGd5YhjL39PxlER7WCKZAqp9AtODAi6HBk0DdAFomqo1bLcJTK4WcNj4d9qTsfhd3RIysWmXgS17TCQNNbecQ+WV8ThnmT3LRERERETDyJQSoSjQ1W3CpgtMrtawT4OGqcGJm5yrUtUHNNT5BeZMlti408DWFhNpQ8LtABw2AbsO2G2ATWd27vGAwTIRERER0TDpiqqe5IBb4JAZNsyo0zjvuMIJoUpyTQoI7DtFYkuzgc5uNbIlmgRSUYlUGpCQ0DU1J93vVqW8aGxhsExERERENMS646p0kdcpMH8fHftO0Zn4aYIRQg2ln5yZgpk2JBJpIJGSiCdV8Lyny8TOdokdbRJSmvC4BPxuAZedfytjAYNlGpRESiKWBJJpdWVM1wRsuppro2dume2UiIiIJop4SqK5U8KuAwdO13DAVB01PuarIcCmq/Pk/PwZcybriCcl2iISLV0mmtpMtIUlkikJvxuo9grYdJ5LjxYGyxUuZUikMxn6ZHFGP0jomoDHCdj78J8wmVZJcmKZ+nICAnYb4HEKVHs0JNMSaROIJQHDUPfTBiAyyfYlJDSRCaZ1QNfUl4Y9e5/DT4iIiGj8SaUlwnFV5kkIYNYkDQdO0zGpSrDTgHrlcghMCwpMC2o4dKYqGbaz3cSWFtXrDEhUe9VQbf49jSwGy+OYKVUgnEyrQDaVBpKGClQhBCBVAGrXAZsmAAFoQj0lBKALgbQB7O5QhdXtNlWHzutUwWs8BUQTEt0JwDDVdrxONZSkPiAQcAsEPKqWnJWpMWVk9iOdf1+l1E+m1dXWaEIF3fGUej6RVLXtUqYqoyCAbL26/FubDrjsKjmC0w44bPzCICIiotERS0qEomoOqk0DAh6BgxoFptbomFrDOck0MLomUB8QqA9oOHC6xJ5OiaY2A9vbJLa2SLjsEkGfKn9Fw4/B8hiXH3wm02qeg2lISAgIoQJYlVlPoDqgrjh5XRpcdsCZCSpddtUDbAXK+bfJNNDZLdHRLbG700RrSGJnhwpe3XbA6xKYUSdQ69dQ5RGo8uy9hIE901PscQIqzO2ZVaMumVZXZFWArQJzw5QwpbpvmqrweyhqorNbBdrdcfW7QKbX2iqzYPVa23WR11vNHmsiIiIaHCnVOUhXVCKRAtwOoNqr4dAZAnUBDUEfyzzR0HLYBBrrBBrrNIRjErs6THy8x0RzyETaMFHt1RDwMKv2cGKwPMpMWRQMp1TACJnrTXXogMMuUOPVUOUB/G4NbocKgl3WrR0DuoLptAMN1QIN1cAB03QkUhKd3RLxFBDwAAG3GLZAUwgBh031EPcWWCs6pFS/o2hSNVjRhAqaY0kTsQQQTQLxpKpdmDZlNtA2Mj3WgBVeq4sFmqZuda3wQoK6ry5IAIVD163HVjCfNnKF6wEgEjLhS5hlA3inXV3gYI84ERHR2CelGmEXiqpzI68TmFytoTGT0brawx5kGhkqY7aOOZM1tIQktrUa+KRF4pNmCaddIuhnUrDhwGB5hEUSEqk2VW8NENDyeoddDjXsosoj4HEKeBwqGHY7VDA8EpP7nXaBhuqx+x9NiMwFAodA0Jf/jJ69Z5qqlzptZnqsDSCVLpy/nTaBdFoikenRtnq1TVP1qpuZYNgKkrMBdKZHXxMqAHbaBdx2wOlQw2HsGtDZYYMnYMsG8PGUGqqVTAGhmLo4gkypABU8C0jI7HsBee+N3D6YMhfo27TM8PpMT7413J4NNhER0cCk0iogjqfUrWGo5W6HCpBn1GmYVKU6LnjRm0aLruUybB/cmOtt3tOpepur2Ns8pBgsj6CAW8Dj01HlVb3DnkyvsDsTEDvt/PIdCpqmAmplYL9PKWU2YLa2kut53vs22906gkEd+QG81SPenZmv3Z2Q6IqaaI+oQFoXuSBc19QXnCZURnGrh1rPPJZS9aB3x9Uw9mhClSJIGup9hEB2+L3Tru7zC5OIiKhUPCnRGZWIJdRIN5ddwOdUU9BqvBq8TpWfJcDESjQGeZ0Ccyfr2GeS1dts4pMWk73NQ4jB8giav48NwaB9tHeD+kAIoYLTIdye1SNe67eWqq2bpsz0XPf/yyxlqCA8mVb1+roTEpGYKj8Qikl0davnJSScdvWl6nWVzuE2TPX6eEr1tDvtKss5v2CJiGgkGKbKAByJZy5QIz/Jp7pnt6lEn067gNMG2Ac4PziVluiKSoRjqr2r82uYPVtD0K+SlrrYeUHjjKaJzLRK1du80+pt7jKRSsuS9QVUh5CuqTxDHqc6T2XnSikGy0SjbDBDp62EauV60FOGRHcciMQlOrtN7O6U6IhI7GiXME0JXc8NMdM1aw68QNAn0BWV6AirYepCqCFoamoAh3oTEdHQSaYlWkPqQm2tX+CQRg1uh8gm+DQlYEh1vyuT6DOWVMlJDUOF0ZpmTWnLtIs2FXynMolRk3lTrgxTjdaq8QocOE3D5BoNtT7OO6bK4cnrbW4Nq799ixC5M8ZYUqItYmJPp0Q4JtHcBQiYcDoEvE5VWpYJchksE1Usuy5Q7VXF7KfXajhkhkqI1hWVmQzoJnwukSkXJuB15YLhlKG+ODu71c/uThPhGNAeljCkzGY89zjV1X1egScionLShszm4ABy+TjSBtARUcHulCoN+07VMC2o9VIOR4dpSsQypS2taU3dcavGsZX0U6K9QyJgSjjsAg5dYFJAIOAB/C5V3aO+SlUSIapUmiYwqWrvf+NzMv+nwnFkzg9V50pnt+pgMczMyESXCp4n4v8ZBstEE4jHqZLHTakB9jbI3K6rHmYriVp+NtBQTKIlZKIlpHqfk2k1RC7b+8wrkUREE4aUUiXNNJCdFpRIqR5cQPXiisy4amt4NTI5OmbWa5g7WcfkatHnJKaaJuB1qmlF5fYlmQZiSWB3sx11tXa4nSoRJ3uOicrTNIEqD1DlEZhRp+GwmeoiVGe36mDZ3WmiLSyxp0MibeZy47gdKu9SpZdLY7BMRL0SQsDnAnwugalQZcZShrqKb/VU7+mSCEVVzW5rmLfHYc19Zu/zULCytRvZkmiZmuRm6brWr9uZSSLICxhEtDdGppKEVT0iZZRWY7DuC5mbTwyo5JP2TIWIGq+GGp/qwfU41fePVaoRsIaBqiSW/iFOmiVELrGlWaUhGNCGbNtEE4nXqUYdTgsCB03XEU+qzpJIXJ33tYbUbUtIZudE2/RcTgGXfeA5BcYaBstENCB2XaDGJ1CTV8IrmlDDt7uiEq1hE80hlWRsTwoAe58LGKYqZWbV6s6vC24tV7XERK42uKbml9s0dSVYF+r36HaqE9D80mPIvDyWVMPnTSnhsOV+/5V+JZiISllzeBOp3Bxe63tD19ScX5uukjsGfSL7faNrKiDWM987DrvIzQ/WAbtNfadMhF4moonI5VB5bSZV5ZYl0+qcLxJXPdEdERPtEZVToCsqkU5LIFPlxZkJolPG6H2GgWKwTERDxhrm3VAN7AcdhpnLyq3mPqvHHZFc8FYJ82CM/B7fbAAscz3ABmBKCZEJfCVU42HPnoQK2DT1e3A5BVw2NbzJYc/V0XbYcvdtusjW1rYC53Lyh893RSX2dKmGrKVLImVIaAJwOwFPZigVhykSjX/WUOR4SgXF1pBoiVzvr9MuUOcXqPYIeFwiW77SlekRcjAXBRH1wmETqPUXVnmRUgXLVi6BaBIIRU10dqtlNg1wjrPoc5ztLhGNJ7omUOMVqPHmlnUnMsFzVGJPZh7M7g6VREIIZHsp8nssdM2qcz30J2+mVMlnCjKvZm9Vb6+R92OaQCRkwpdQY5+tTKy2bK+vgK6rYNcagq5OREXhZ7MBDl0NU7JnAt+hDlYLhs8HgQOn60hmSqaEoqpMS3OXiXBMojWsTrLttkz2c9Z+JxpXkmn1XWpKdTLqtAtUeTQEfUCVJzck2sM5vEQ0TIQQ2QSw9QFrqcqRk0yrpHy2oarLOkIYLBPRiLLmwUzNzINJpDJZt6MS0bjqee5OSMRTQDQBpKIqeYyaO6fGC1qneAWVA4WaR7dXmaHK2fqdmQ1Z8+n0TNIZXROZAFjAYVdDDq15cC67hkjIhvo6W6anV2QC4OIAf2yeiDpsAvUB1YjNQa732QqgW0MmWsJq7nk8BWgw4bCLvEQeDKCJxhLDlNjTqaZ1NNZp2HeKDr8rU61gr5mliYhGjsOmpm+MN+Nwl4mokjjtAg3Vauh2vrShgrVkOpdoxur5NaVKdpU/N9dKPiPzAub8mM6qLahpqoc6GyBrKkC26Wq5LTO0WdczwXOZoLe9XUcwOM4ujfYgv/d5WhAAdKQNVYYlHAO6ujNzz6MS7WE131HAhN2mAmiXQ11EGI5efyLqmSkl2sISkRgwpUbDQdM1NNZpY/ZCHRHReMRgmYjGJJsu4NOBXD8yjRSbnjd8vk5lk02mVRbMcAwIx1UPdHtEDalPpFT5ME1TmTBddtUjr4m8H57AEw2KaVrJudRc5GgCCPoEFh+oY/YkjYm1iIiGAYNlIiLqlcNWWHsbUOXDuuNAJK4SeXTFTLSGoJJ6JCQMCUgTUIm9Vfd//kh5PdOLbyUd8rrYQ02VIWVIpNK5TPdpw7qfG/1S8Jfe05+9VD3IgIAQyCTfEgj6NBw8XWDOFL1svWEiIhoaDJaJiGhA7LpAtReo9marrQIAYknV22xKWZIczQoikmmgO2EimlTBdSwJtIYkHHaJGq9KjkY0Hpim+vuNJiViCTVNxKap3AU2XcCuqzwNHofKPm/PG2VhZcffG4dNwOvMJQ1keSYiopHDYJmIiIaUlQys9yH0uXnfkbjE7k4Tn7SYaO4ysadTwuMEqjzMyk1jj5QSXVGgs1uVYHPZAb9bYPYk1evrd6sAebgy3RMR0chgsExERKPO5xKYO1nHnAYtW5N7S7OBjoiVVEz1vzkyNWCddpVV064zkKbBsTLCd0TUcGkhJHwugYBHlPTgmqbKFB+KAgG3wOGzdEyu1lDlUb2//FskIqosDJaJiGjMEEKgxidQ4wP2m6qhK6oSGcWSKsFYZ1Rl5o4lVbmrVBoAVI1um64CaUemdrUjMwyWqJyUoUouRROAxwnMnqRhWlBDOCaxrdVEc6dEypTwOlWvcSiqgupan8BR+2qYWa/D7+bfFxFRJWOwTEREY5KuFScVU0xTIpYC4kkVNMeSErGkzNaKjqeAcDKTYClTYizAoIbyCSAaB+oCAvNmq97h3Nx74JAZqixTc5eJba0mOiMSAY/A/H10zKjT4Hbw74mIaCJgsExEROOKpqkhrz1lAU6mVYIxK9FYPCVhmoDbPsI7SmOSyw4c0qhj+hQ76gOi7OgDm27Vf9dwUKO6EONzlQ7LJiKiysZgmYiIKorDpuYzc4gslSOEwJzJOoI1Wp/Wt0Y4EBHRxNO3loKIiIiIiIhoAmGwTERERERERFSEwTIRERERERFREQbLREREREREREUYLBMREREREREVYbBMREREREREVITB8ghJJBL46U9/ikQiMdq7QsOIx7ny8RhXPh7jysbjW/l4jCcGHufKNxaOsZBSylF79wkkFAqhqqoKXV1dCAQCo707NEx4nCsfj3Hl4zGubDy+lY/HeGLgca58Y+EYs2eZiIiIiIiIqAiDZSIiIiIiIqIiDJaJiIiIiIiIijBYHiFOpxM33XQTnE7naO8KDSMe58rHY1z5eIwrG49v5eMxnhh4nCvfWDjGTPBFREREREREVIQ9y0RERERERERFGCwTERERERERFWGwTERERERERFSEwfIIePLJJ3HcccehpqYGXq8Xhx9+OG6//XakUqnR3jXqRSqVwuuvv45///d/x8KFC1FdXQ273Y7JkyfjtNNOwwsvvLDX17/22ms46aSTUFdXB7fbjQMOOAA33HADIpHICH0CGqhrrrkGQggIIfCDH/ygx/V4jMeXZDKJn/70p1i8eDGCwSBcLhemT5+OE088EY8//njZ1/AYVwa2xeMb2+OJiW1x5Ro37bGkYfXtb39bApA2m01+/vOfl2eddZasrq6WAOTixYtlNBod7V2kvXj11VclAAlATp48WZ588snyvPPOk4ccckh2+bJly6RpmiWvvfPOOyUAKYSQn/nMZ+S5554rJ0+eLAHI/fffX7a0tIzCJ6K+eOutt6SmaVIIIQHIW265pex6PMbjS1NTkzzooIMkAFlXVydPOeUU+f/9f/+f/PSnPy09Ho88++yzS17DY1wZ2BaPf2yPJx62xZVrPLXHDJaH0apVqyQA6fP55HvvvZdd3tLSIg899FAJQH7nO98ZxT2k3rz++uvy7LPPln/84x9LnnvsscekrusSgPzlL39Z8Ny6deukEELqui5ffPHF7PLu7m65ZMkSCaDsFwGNvu7ubrnvvvvKadOmyTPOOKPHBprHeHyJRqPygAMOkADk9773PZlMJgue7+7uluvXry9YxmNcGdgWVwa2xxML2+LKNd7aYwbLw2jhwoUSgPzBD35Q8tyf/vQnCUA6nU7Z2dk5CntHQ+ErX/mKBCCXLFlSsPzcc8+VAOS//uu/lrxm69atUtM0CUD+4x//GKldpT761re+JQHIF154QV5yySU9NtA8xuPLjTfemO156ise48rAtnhiYHtcWdgWV67x1h5zzvIw2bFjB9asWQMAWLp0acnzixcvRmNjIxKJBF588cWR3j0aIvPmzQMANDU1ZZclk8ns3Klyx37mzJk45phjAACrVq0agb2kvvrDH/6Au+66CxdffDFOOumkHtfjMR5fUqkU7r33XgDAv//7v/fpNTzGlYFt8cTB9rhysC2uXOOxPWawPEzWr18PAAgGg5g9e3bZdRYsWFCwLo0/mzZtAgBMmTIlu2zjxo2IRqMAcse4GI/92BOJRPDlL38ZDQ0N+MlPfrLXdXmMx5d169ahtbUVU6dOxdy5c/HBBx/g5ptvxte+9jUsX74cL7zwAkzTLHgNj3FlYFs8cbA9rgxsiyvbeGyPbUO+RQIAbNmyBQAwY8aMHtdpbGwsWJfGl927d+PBBx8EAJx99tnZ5dbxrK6uht/vL/taHvux59/+7d+wZcsWrFq1CjU1NXtdl8d4fPnrX/8KAJg+fTqWL1+O22+/HVLK7PM/+tGPMG/ePDz77LPZ72we48rAtnhiYHtcOdgWV7bx2B6zZ3mYhMNhAIDX6+1xHZ/PBwAIhUIjsk80dNLpNC666CJ0dXXh0EMPxde+9rXsczz2488rr7yC++67D+effz7OOOOMXtfnMR5f2traAKgrzj/60Y9w+eWXY8OGDejq6sKrr76K/fbbD+vXr8fJJ5+cLSPEY1wZeBwrH9vjysG2uPKNx/aYwTLRAHz961/H66+/jtraWjz11FNwOByjvUs0QF1dXfjKV76C+vp63HXXXaO9OzQMrKvWqVQKF1xwAVauXIn99tsPgUAAJ5xwAl599VW4XC787W9/w2OPPTbKe0tE/cH2uDKwLZ4YxmN7zGB5mFjDBLq7u3tcxyqgHQgERmSfaGh8+9vfxgMPPICamprsVbB8PPbjy5VXXont27dj5cqVqKur69NreIzHl/xhW/m9TpYZM2bg5JNPBgC89tprBa/hMR7feBwrG9vjysG2eGIYj+0x5ywPk1mzZgEozMpYzHrOWpfGvu985zv46U9/iurqarzyyivZ7Jv5rOPZ2dmJcDhcdn4Fj/3YsWrVKthsNtxzzz245557Cp775z//CQB44IEH8Nprr2Hy5Ml47LHHeIzHmX322afs/XLr7Nq1CwD/H1cKtsWVi+1xZWFbPDGMx/aYwfIwsb6029rasGXLlrJZONeuXQsAmD9//ojuGw3MNddcgzvvvBNVVVV45ZVXeszIt//++8Pj8SAajWLt2rX4f//v/5Wsw2M/tqTTabz55ps9Pr9161Zs3boVM2fOBMBjPN7Mnz8fQghIKdHa2ppNBJKvtbUVQG7eE49xZWBbXJnYHlcmtsWVbzy2xxyGPUymT5+OhQsXAgAeffTRkudXr16NpqYmOJ3OvdaQo7Fh+fLl+PGPf4yqqiq8+uqr2WNbjsPhyA4hKXfsP/nkE7z99tsAgDPPPHN4dpj6rLOzE1LKsj+XXHIJAOCWW26BlBJbt24FwGM83kyePBmLFy8GkBvWlS+VSmVP0I488kgAPMaVgm1x5WF7XJnYFk8M47I9ljRsVq1aJQFIn88n33vvvezy1tZWeeihh0oA8jvf+c4o7iH1xQ033CAByOrqavnuu+/26TXvvfeeFEJIXdflSy+9lF3e3d0tlyxZIgHIs88+e7h2mYbIJZdcIgHIW265peQ5HuPx5bXXXpMAZE1Njfzzn/+cXZ5KpeQ3v/lNCUD6/X65e/fu7HM8xpWBbXHlYHs8MbEtrizjrT1msDzMvvWtb0kA0m63yy9+8Yvy7LPPltXV1RKAPOaYY2Q0Gh3tXaS9eO655yQACUAuWLBAXnLJJWV/yp1o3XnnnRKAFELI4447Tp533nlyypQpEoDcf//9ZUtLyyh8IuqPvTXQUvIYjze33HKLBCBtNpv89Kc/Lc866yw5a9YsCUC63W7529/+tuQ1PMaVgW3x+Mf2eOJiW1x5xlN7zGB5BDz++OPyM5/5jAwEAtLtdstDDjlE3nbbbTKRSIz2rlEvfvGLX2Qb5739zJw5s+zrX331VfnFL35RBoNB6XQ65b777iuvu+46GQqFRvaD0ID01kBLyWM83rz88svyxBNPlMFgUNrtdtnY2CgvvfRS+Y9//KPH1/AYVwa2xeMb2+OJi21xZRov7bGQMlPwioiIiIiIiIgAMMEXERERERERUQkGy0RERERERERFGCwTERERERERFWGwTERERERERFSEwTIRERERERFREQbLREREREREREUYLBMREREREREVYbBMREREREREVITBMhEREREREVERBstERERERERERRgsExERERERERVhsExERERERERUhMEyERERERERUREGy0RERERERERFGCwTERERERERFWGwTERERERERFSEwTIRERERERFREQbLREREREREREUYLBMREREREREVYbBMREREREREVITBMhEREREREVERBstERERERERERRgsExERERERERVhsExERERERERUhMEyERERERERUREGy0RERERERERFGCwTERERERERFWGwPEF873vfgxCixx+n04lgMIjDDjsMF1xwAR5++GEkk8nR3u0x4w9/+EPJ7+zBBx8c0LZisRheeuklfPe738VJJ52E/fbbD4FAADabDYFAAPvvvz8uuugiPP/885BSDu0HAfDJJ59A07SyfwfvvvvukL3Pgw8+WLL9P/zhD0Oy7XQ6jVWrVuGb3/wmFixYgGnTpsHtdsPpdKK2thaHHXYYzjnnHPz4xz/Ge++9NyTvSYWOO+64vX6nFP988YtfHO1dJhpWbGcHZyjbWQDYsGEDfvnLX+Kyyy7Dpz71KdhstpLtb926dcj2Px/bWRoKsVgMq1evxh133IFzzjkH06ZNKznexx133IC3//e//x1Op3NIt1mJbKO9AzQ2JJNJJJNJdHR04IMPPsBjjz2Gm266Cc899xwOOeSQ0d69ijJ9+nS0t7eXfS4cDiMcDmPjxo145JFHsHjxYjz22GOYNm3akL3/I4880mMQ/vDDD+PII48csvcaDg888AC+//3vY9u2bWWfb29vR3t7Oz744AM8/fTTAIC5c+fiww8/hN1uH8ldJSLKYjs7crZu3YoDDjhg1N6f7SwNhR/96Ee4+eabh2XbUkosW7aMF+z6gD3L1KOPP/4Yp5xyCqLR6GjvSkVJJBJ9Xnf16tVYsmTJkB6DRx55pMfnHn/8caTT6SF7r6EUi8Vw7rnn4l//9V97bMB7snnzZhiGMUx7RkQ0MGxnKxPbWRrr7r33Xrz99tujvRvjAnuWJ7Czzz4b55xzDgAgGo3i1VdfxWOPPVawzieffIJVq1bhwgsvHI1drGiapuG4447D8ccfj2nTpmH79u145JFH8M9//rNgvQ0bNuC///u/ccMNNwz6PdetW4cPP/ywx+ebm5vxyiuv4KSTThr0ew0l0zRx4YUXYtWqVSXP1dfX49RTT8W8efNQVVWFcDiMbdu24d1338Xq1auRSqVGYY8nnhtvvBEHHXRQj89PmTJlBPeGaGxgOzv6vF4vFixYgF27dmHjxo3D/n5sZ2k4TJ8+HUcddVS2J38wdu7cieuuu24I9mpiYLA8gR1yyCE4//zzs4+//OUvwzAMPPnkkwXrvffee2zEh5DNZsOyZctw7bXXYp999il47pprrsEpp5yCV199tWD5U089NSTB8sMPP1yyTNM0mKZZsM5Ya8Tvuuuusg34t7/9bfznf/4nvF5v2de1t7fj17/+NX784x8P9y5OeMcffzznOREVYTs7Oqqrq3Hfffdh0aJFOPjgg6HrOi699NIRCZbZztJQWbJkCQ4//HAcddRRmDp1KgBACDHo7X7jG99AKBQCAMyaNWvY5u5XCg7DpgKf/exnS5bF4/GSZT0llYjFYrj11ltxxBFHoKqqCkII/OQnPwGgkkU8++yzuPHGG3HSSSfh4IMPxtSpU+FyueByudDQ0IBjjz0Wy5cvx4YNG3rcx56SgEgp8dBDD2HJkiWora2Fy+XC3LlzcfXVV6O1tXWvnzuZTOLOO+/EEUccAZ/Ph+rqahx99NG47777Chq4ofD222/jvvvuKwmUAcDhcOC2224rWb558+ZBv69hGCU9GgceeCA+//nPFyx77rnnEA6He91eOBzGTTfdhIMPPhgejwd1dXU4/vjj8fjjjw96X/NFIhH853/+Z8nyK6+8Ej/5yU96bMABIBgM4hvf+AY2bdoEp9NZ8nzx39Gll14KAHjxxRdx2mmnYfLkydB1HZ/61KdKXtvd3Y17770Xp512GhobG+HxeOB2uzF9+nSccsopWLlyJSKRSI/7Vpwga9asWQNe79JLLy35LADQ0tKCa665BgcccAA8Hg+CwSBOOOGEIbkyTUQDw3Z2+NvZ6upqLFu2DIcddhh0XR/Sbe8N21m2s0PZzh577LE488wzs4HyUFi1ahWeffbZ7ON77713yLZdsSRNCDfddJMEUPBz0003lax33XXXlax3xx13lKz3i1/8omS9Rx55RO6///4ly//7v/9bSillS0tLyXM9/ei6Lm+55Zayn+X3v/99yforVqyQS5Ys6XF7c+bMkbt37y67vZaWFjlv3rweX3vsscfK5557rmT5L37xi4Eejr3q7u4uea/q6upBb/fll18u2e6NN94o77///pLlDz744F63tXnzZjlr1qwef2fnnHOO/J//+Z+S5b///e/7vd9PPPFEyXbq6upkNBod4G8ip3i7l1xyifzmN79Zsvzwww8veN2LL74o6+vre/07rqurk88//3zZ9/7sZz9bsO7MmTMHvN4ll1xS8t5/+ctfZF1dXY/7dskll0jDMAb8uyveryeffFK+/vrr8qmnnpIvvfSS/Otf/zqo7RONN2xnx3Y7W+57csuWLUO2fSnZzpbDdnZo28Hi9/jsZz/b59d2dXXJadOmZV974YUXDnqbEwGD5Qmit0a8u7tbPv/88zIQCBSs43a75a5du0q2V64R9/v9Zb8sBtKIWz8PPfRQyXuXa8RdLlev27K+FPIZhiGPOeaYXl87efLkYW3E8/3tb38rea+jjjpq0Nv90pe+VLLd//u//5MtLS1S1/WC5SeccEKP24lEInLu3LkD+p0NpBH/13/915LtXH755YP4TeT09W84vxF/9tlnpaZpff4bFkLIZ555puS9h7sRr6qq6nXfrrvuugH/7or3q9xPIBCQl112mdyxY8eA34dovGA7O7bb2ZEIltnOlmI7O/B2tpzi7fcnsL3sssuyr6utrZXNzc2D3uZEwDnLE9jNN9+815T0VVVVePjhhzF58uQ+bS8cDkPTNFxwwQU47rjjkE6nsW7dOgSDwew6LpcLixYtwsKFC1FfX49gMAi73Y6Ojg6sWbOmJEvk9773PVx00UW9vnc8Hofb7cY3vvENHHLIIfjTn/6EBx54oGCdJ598Evfccw8CgUB22YMPPoi33nqrYD273Y6vfvWrOPLII7F7927cfffdaGpq6tPvYChYw+nyfelLXxrUNqPRaMlcpLlz5+Lwww8HAHzmM5/B73//++xzb7zxBnbt2lU2KdOPfvSjkmHhXq8XV1xxBQ466CB8/PHHuOuuu7B79+5B7bNl06ZNJcvKld2Ix+MFQ4uKTZo0Cccff/xe38saFjdv3jwsXboUdXV12LJlC7Zs2QIAaGtrw8UXX1wyZPBzn/sczj77bAgh8PTTT+OVV17JPielxKWXXorPfOYzqK2t3ev7D6Wuri4ceeSRuPjii+FyufDcc8/h+eefL1jn9ttvx5e//GXMnTt3WPYhFArh3nvvxeOPP45nn30Wxx577LC8D9FYxXZ2bLazw4HtLNvZ0Whn++rPf/4zfvazn2Uf33nnnaivrx/FPRpHRjtap5FR7op3bz/f/OY3ZUdHR9ntlbviDUCuWrWqx30wDEPG4/G97ucPfvCDkm1u3LixYJ1yV7wByJdffrlgvWXLlpWs84c//KFgnYULF5as8/Of/7xgnZ07d5a9EjocPcuPPfaYFEIUvM/cuXNld3f3oLb7yCOPlOz/tddem31+5cqVJc+XGxZomqZsaGgoWfe1114rWO/9998ve1V4IFe8DzrooJLtvPTSSyXr7dq1a69/z+WulJZb75xzzpHpdLrsvnz/+98vWf+8884rWe/cc88tWe/73/9+wTrDfcX7qKOOkslksmC9iy66qGS9a665puz79qYvPcv5P9XV1XL79u0Dei+i8YDt7NhuZ4e7Z5ntLNtZKYe2nS2nL7/zYslkUh588MHZ13zuc58b9DYnEib4oh7ddddd+NSnPtXnLHmnn346zjjjjB6f1zQNdrsdTz/9NL70pS/hsMMOQ01NDex2ezZZwne/+92S1+0tCYnlM5/5TEkCjXJXN/fs2ZO9HwqF8N577xU8P3369GzyCcuUKVPwla98pdd9GKwnnngCX/rSlyClzC4LBAJYtWoVPB7PoLZdLjunVc4EAM4888ySDIsPPfRQyWs+/PDDgt8hACxatAhLliwpWHbYYYfhtNNOG8wuZ+X/PixDkQ2yHLvdjrvvvrvHhDC/+93vSpbddNNNfVpW7rXDafny5bDb7QXLyv3/yu/p6A+Hw4HTTz8dP//5z/HBBx8gEokgEong/fffx+WXX17yO+zs7MQPf/jDAb0XUaViO6uMVDs7nNjO9g3b2ZF322234e9//zsAwOPx4L777hvV/RlvOAx7Asuv/5hOp/HJJ5/gF7/4BT766KPsOp988gmWLl3ap8LlJ5988l6f3717N0499VSsXbu2X/vZ2dnZ6zrlsovW1NSULIvFYtn7W7ZsKRnmc/jhh5f9Ap8/f34f9nTgfvazn+Eb3/hGwf54vV688MILOOSQQwa17ebm5pJSVDNnzsSCBQuyj6dOnYqjjz664Di///77+Pvf/46DDz44u6xcVu4jjjii7PvOnz9/r8O1+qqurq5kWXNz86C3W87ChQsxadKkHp8vPqH0er1lawtbmUuj0Wh22UiULMmXf3wt+++/P7xeL7q7u7PLBppp/Te/+Q1cLlfJ8sMOOwx33303DjroIFxxxRUFz61atQp33333gN6PaDxiOzt22tnhxHa279jOjqyNGzcWZDq/+eabMXv27FHbn/GIPcsTmFX/8fzzz8dFF12EG264AevXry9Jmf/nP/8Z77zzTq/bmzlz5l6fv+iii/rdgAMomFvVk+nTp5csK77aBxRePS1XtqGn+Rt7+2IfrFtuuQWXXXZZwQlFdXU1XnnlFSxevHjQ23/sscdKfodnn312yXrllhVf9R6N39l+++1XsmzNmjUlyyZPngypkhaWvUreF739DXd1dRU83tt8n+LPX/zaYj2VTkkmk3t9XU962rfi5X0pX1JOuUA531e/+lW43e6CZbt27Rrw+xGNR2xnx0Y7O9zYzvYd29mRdeeddyKRSABQF1euuuqqUduX8YrBMhXw+/1lr1y///77vb7W4XD0+NymTZvw+uuvFyzTNA1f+tKXcM899+DXv/41fv3rX+PrX/96/3e6h/fubQiR3+8vWdbS0lJ23eG4wiqlxLe//W38x3/8R8HyqVOn4o9//CM+/elPD8n7lBsaduedd5bUC/zOd75Tst6jjz5a0CCOxu/sc5/7XMmyJ554YsCN297s7W8YUMl48vX02YHSz1/82uK/z1QqVXY7A01609O+FS8vd0yHgsPhQHV1dcnyvdXEJJoI2M6OXDs7UtjO9h3b2ZGVX8N93bp1sNlsZetF53vzzTezz33ve98bwb0dmxgsU4lyV97a29sHtc0PPvigZNl3vvMd/OpXv8Jll12WvfJebijQcJk9ezY0rfC/wPvvvw/DMErWLZ5zNVjpdBoXX3wxfvrTnxYs32+//fD222/j0EMPHZL32bhxY9mrw33V1NSEN998M/t4zpw5Jev09LsZqt/ZSSedVJLdcs+ePaPyBV589b27uxv/+Mc/Stb7xz/+UTA0DAD23XffgsfFPbMdHR0lV+o//vhj7Ny5c0D7Wq536Z///GfB0DCg/DHtjXWVem927dpVMu9O07QR/T9ONFaxnR3+dnaksJ0dWmxnaaxhsEwFwuEwXnjhhZLlfS1r0ZNyV/O8Xm/B4+3bt49o0oFAIFAyR2r79u148MEHC5bt2rULv/jFL4bsfWOxGE4//fSSK9FHHnkk3nrrrV6HKPVHuavd/ZU/ROzggw8uGfb0l7/8paQ3469//WtJ+YSB8vv9WL58ecnyW2+9FTfddNOwXPnuyYknnliy7JZbbilZ9v3vf7/X1xb/n0okEvjjH/9YsOymm27qcdhYb2677baSYYH585Ysxx13XL+3/aMf/QgXXHAB1q1bV/b5eDxeMgcfAI466qiywzaJJhK2s8Pfzo4ktrNDi+0sjTVM8DWB/e1vf8Njjz0GoDDxyLZt2wrW0zStJAtjfx1wwAEly2677TZEo1EceOCB+Oijj3DPPfcM+sp6f33ta18ruTJ42WWXYd26dTjqqKOwa9cu3H333QiFQkP2np/73OdKak7W1tZi2bJleO2113p83amnnlpy4tObRx55pOCxpmn43//9Xzidzh5fs2zZsoL5NU8//TTuvvtuuFwuCCHw1a9+taQxOP3003HFFVfg4IMPxkcffYS77rprwI1POVdddRV+//vf48UXXyxY/v3vfx+/+MUvcOaZZ+Kggw6Cx+NBe3s7/vKXvwzZe+e7/PLL8eMf/7jg9/PrX/8a7e3tOOuss7L1H19++eWC1/n9flx22WUFy4466qiSE8azzjoLN9xwA6qqqvD000/jpZdeGvC+vvPOO1i8eDEuvvhiOJ3OsvUfNU3DV7/61X5v2zRNPPbYY3jsscdw2GGHYcmSJdh///1hs9nw0Ucf4aGHHsL27dtLXnf55ZcP+PMQjUdsZ0ennQWQ/b1brDq++Z5//vmC+aWzZ8/GUUcd1a/3YTs7tNjO5mzZsqXXXAbNzc0lf+vHH3989oLLZZddhi9+8Yt73cYFF1xQ8PjAAw/MThEcbJLZijDy1apoNAyk/qP18/Wvf71ke+XqP/ZW2++II47o9b0OPfTQkmXFdRbL1X8sV4uxL+ul02m5aNGiXvcrEAj06T37YqDHob/1IN96662SbRx33HG9vu7CCy8sed0TTzyRfT4cDst99tlnQL+zgdR/tIRCIXniiScO+PfXl/qPl1xySa/78fTTT5fUwt7bjxBCPvnkkyXbaW1tLVtXtPjH6XQWPO5r/cfJkyf3uu2B1n4cyPfJueeeO6D3Ihov2M6OnXZWyoG1tX1pA/KxnWU729u2B1Njuada67399PdvoC/HcSLjMGzaqy9/+csl82oH6pFHHkFDQ0OPz3/lK1/B1VdfPSTv1Ve6ruO5557D4Ycf3uM6hx12GO6///4R3KuhUW5o2Hnnndfr68qtk78tn8+H3/3ud5gxY0aP2zj++OOHvKau3+/HCy+8gDvvvHOv2THL+dSnPjXgK7vFzjrrLDz33HMl87vKCQaDeOaZZwpqbVpqa2vxs5/9rGQ+n8Vms+G//uu/sGjRogHt5yuvvIKpU6f2+PxFF1004GPU0NDQ434X03Ud//7v/17S+0JECttZtrPF22I7y3aWxg4Gy5TldDoxadIkfPrTn8Z3vvMdrFu3Dg888MCQzTHcf//9sX79elxxxRWYNWsW7HY76urqcPzxx+Pxxx/Hz3/+8yF5n/6aNGkS3nnnHfz4xz/Gpz71KXg8Hvj9fhxxxBG44447sGbNmnFX0iKVSuGJJ54oWKbretmyFcW+8IUvlGSUfOmll9DW1pZ9vO++++KDDz7Ad7/7XRx44IFwuVyorq7G4sWLcf/99+PVV1/t95DxvhBC4KqrrsInn3yChx56CP/yL/+Cgw8+GPX19bDZbHC73Zg0aRKOOOIILF26FHfddRf++c9/Yv369bjwwguHbD9OPfVUbN26FStXrsTJJ5+MadOmweVyweVyYerUqTjxxBOxYsUKbN26FWeccUaP21m6dCnefPNNnHrqqaitrYXdbsf06dNxySWXYN26dYM6qT300EPxwQcfYPny5TjggAPgdrtRXV2N448/Hk888QQeeuihsrVO++Kyyy7Djh07cP/99+Piiy/G/Pnzs/vvdDrR0NCA4447Dv/xH/+BzZs34/bbb+dcZSKwnWU7q7Cd7d1Eb2dp7BBSDrBQGhERjQmXXnopfvnLXxYs41c7ERHR0GA7O3GxZ5mIiIiIiIioCINlIiIiIiIioiIMlomIiIiIiIiKMFgmIiIiIiIiKsJgmYiIiIiIiKgIs2ETERERERERFWHPMhEREREREVERBstERERERERERRgsExERERERERVhsExERERERERUhMEyERERERERUREGy0RERERERERFGCwTERERERERFWGwTERERERERFSEwTIRERERERFREQbLREREREREREUYLBMREREREREVYbBMREREREREVITBMhEREREREVERBstERERERERERRgsExERERERERVhsExERERERERUhMEyERERERERUREGy0RERERERERFGCwTERERERERFWGwTERERERERFSEwTIRERERERFREQbLREREREREREUYLBMREREREREVYbBMREREREREVITBMhEREREREVERBstERERERERERRgsExERERERERVhsExERERERERUhMHyCOrq6hrtXaARwONc+XiMKx+PcWXj8a18PMYTA49z5RvtY8xgeQQZhjHau0AjgMe58vEYVz4e48rG41v5eIwnBh7nyjfax5jBMhEREREREVERBstERERERERERRgsExERERERERVhsExERERERERUhMEyERERERERURHbaO8AEVGlklLClICUgE0Xo707RERUhpQShgloAtA0flcTUQ6DZSKiAUobEuGYRCgGdEVNtEck0gaQMtRzhgmYUq3rdwnU+gX8bgGvU8DrEvA6GUQTEQ23ZFoiEpcIRdV3dndCIpFS39XJtEQyrb6rdQ2o9gjU+NT3tCfz43MBOoNoogmJwTIRUR9JKdEWlti0w0B6TwotIYlYUp10ARIOm4CuAUJYPRSAJtQJVmvYxI52dUImALgcgMsu0FAtUB/QUO0VqPYK2Bk8Ew27ZFqO9i7QMIonJXa0mdgRTqM5JNEVlYgmJFJpQELCpgtoQgXHupb7rk6mJZraJD7ao7YjBOCyA0Gvhn2napheq8Fh43c00UTCYJmIqBfRhMSuDhNbmk3s6TTR2pZGTdCExwnUeAWcdkCI3lJA5E6wTFMikQZiSYlNuyX+scOEQwe8LoHJecFzlUfwxIxoiCXTEn/6Rxr7dqdxUKPO/2MVIp6UaAlJ7Oww0NQqsWtPCl5/Gk6HgNuhRvY47b0d68Lnre/qlrCJHX83MalKYP+pOhprNbgc/LshmggYLBMRlWGYEs1dEtvbTHzSYiIUlbDbgaBPwKtrCFQNPD+ipgm4HYDbIRD0qWXWMMFNuyX+ucOETQd8LoH6gMCkvJ7n3k/2iGhvDBOIxCTe3WygPSIxbx8dNV7mOx2ruhMSHRHVOyyRGbWT+bFG8rSETDS1qiHWQgABj8DUWoGaGn1Q7539rg4KpA01suiPH6ZR5xfYb6qOmfUaPE5+JxNVMgbLRER5wjGJne0mPtpjojVkIm1KVHs1zKgX2cQvqdjQv6/DJhD0FQbP0QSwpdnExl0mbBrgdaq5dA3VGqrcAgGPgN/FhDREAxH0A5+0GOiMSnxqlo7ZkzQIwf9Lo80Kjju7TezqkOjoVkOorfwPAoC0bjMPtEyAPL1OZOcWh9JDeyxtupo2Y5gS7RGJtzaksWGnwMGNOmZN0jiFhqhCMVgmogkvZUjs6ZTY1mqgqU31TnicwKRqAYdtdHqcHDYBhw2o9orsPkYTwO5OE9taTEgAbkem97lKwOfSYNcBu65eq24Bu03AZWciMaJidl1gRr1Ac5fE6n+m0RbWcdhMnaM3Rlg8qQLi9oia7tIeUQm4IAGnQ10kDPrEmLkoqGtqxE+tX6I1JPHHf6SxtVnDwY06ptQIXnAhqjAMloloVCTTKjFWPKVuEyk1fM5hU3OAnZlbhw3DcvIhZe7kbEuzibaw6rao9grUTRp7Jzx2XaDKA1R51H6ZUiKeVPOpN+yQMEwDAgJW2iJNA+yaCpLtNpWkxusUCLgFXA6V3MaUmR9TDTs3pLoF1DIJQOZl9C5HCNXDIzR1q2WuLbjs6r0CHgGfa3jnXqcM9TdkZbXNvpO1bwKw6eBQWyohhOotjMQl3v9EDcs+Yh8ddQH+rQyXlKF6jjsiEru7TLR0SUQSEoahEh/6XGMrOO6JJgQmVQmk0qod2d1pYs5kDQdNt2UvchLR+MdgmYhGRNqQ2NMl8UmLgbawVbZDZsosFa5ry/SQ2nTVQ+pxCLidgMcp4LKrHlerB9Va124TsGmA3bb3Eh+hqMTuTjUPuTlkIp4EvC5gSo2AfRwl+tGEgCfzOynHMFXpqlRalUcJx9XFgZSh6j5br5LWgMbMHECB7MOs3q4byLxgWmb+MUwJARWoe5wCNV7VGxPwaGret7P/F0ESKYnOqCr/0tmtTrC745m/pbREylTzUbP7nXdb5RX4/OF2uJmUh8rwudQIjB3tJkJ/kzhiDodlDxXTlOiKqeC4OaSGVodjKjO1w65+99OCYtyWZrLb1PDvaEIla9zRlsKB0zXsN5XJ44gqAYNlIhpWkbjEjnYTH+020RIyISXgcWaGBztUMGXTcoGTlBJpUwXQqmaxRHu3RDqkHktpzVZTgZlNy5X/0DUBPS/QdtoBh65OyBy6QCgmsatDJdJyOVQvsrumMk9mdE2VsXJkv+VH/nNKqXp6Y0lgZ4eJrc0SEAIeh+o5mhpUgXONV/0tWMfeCvBTaYl4CujKXODoiKi5i2kj03Nuy10o8bpyf0sAkN8Z3h0H4sm995AT2XSBGXVAS0hly26PqGHZDHj6LxJXwXFr2MTOdhNdUYlYUn1P+9zApKrKy/TvcQrMqgc6uiXe2WRgd6eaC89RCkTjG4NlIhpypinREpbY1mJia7OJUFzC7QAaqns/QRJCZOfeZpb0uK6UKulL2lA9itZPPCVhZBLCmNZyqU7Uqj0CdYGxN8y6EgmRGVJvz829NqWae90SNrGtzVQnz04V7CbTMu9YyuwFEwkV9Htdashsf0cA6BqjZOobkRlaG4lL/N9WlfzrCGbL3ispJboTKjliR7dKkNgWUaM+BAC3U43saKgenik1Y4kQ6kKg3yXR1KZ+D4c2ath3qs4EYH2QyEzLSpu5UWeptLqICqiLodaIM1vmong0IeE3JH+/NGwYLBPRkEkZEjvbJT7abWBnh4lkWmWSnlkvoA3DSZIQAnqmfEjRM0P+XjQ0NCHgc6mhl4AKiiNxoCuqAmdrjrWuqWH1uo5h+dsh2hufS8BpA7Y1GwhHJebN1lHlFYgl1MW4aBIIx0yEoupCTsAj4HWqodzuTF1fXwVlqs8f8ZNIqZ7j7rhEe7eJ1pD6fcSSEqapLo75XAK142De8XCx2wRm1gu0R0z8ZZOBPV0Sh8/SEfTxogugguJwTF1kiSYkuqIm2iPqfsqQBRe/s1nPAQiV9w1aZjSZTQNikRSqa1Kw6+r/nidTllFdXNWyeT6IBorBMhENWndCYnuriU27DbSGJIQG1PkF3A6eGNDe6ZpKXMYLHDTW2G0CMydp2N2pauvqOpBMWWWLJDRdwKGr4f1bWzJz9yWg6YDTBsyapGHeLBtc42yefMqQ2NFmYmeHiVgSSKZVcJMLYNT0CJkZrZOrGT9+5x0Pl6BPg88lsaVZtY0HTNfhdQJOu7oY47Sr0Td2fWz2ukupjnUsqUYExZISWiYRZ3YaTF4Syb19hpQh0dIlsSuTM6Q7nsmhARX0qlFIAm6nKJhaVY5hqgszaRMwE2pZPKWmWKXyRpr5nMCUoIbGWg2Tq1kTmwaGwTIRDVhHxMTWFjUfuTMq4XUCU4KCw6GIqCIIITClRiCeUkP5HbbeRzoYppqf+2GTiVA0jYVzx0ePYjIt0dRqYsNOE3s6TYhMzoP8wMUa9VFv54iPvnLYBGbWa2iPSLy7OZ3L0K9ZySwFqn0Ch87Q0VA1+n8noagqo9jRrRIpxpNAIq0Ssll1rYHCz2DTBFwOoMYrUOPT4HWq0QUep0A4LrG7QwXIHd0qyPV7gPpBzFu3cnLYAaRcAgGvQPEFV2t6gHWO4ncLzKgTmBbU1XQenqdQHzFYJhqAtCGRyCtRky2fI9QJR8pQc7U0UTnD8CxSSjR3SXy0x1BXhxOqgZw1aXiGWhMRjTZXP2ov65oagu12ANvbTLzxgcSCOTpm1o/N7NqxpMS2VhMbdxpoCUk47cDUWgYTQ0kIgVq/QK1fPZZSZhJYqp8dbSZaukwcPF3HAdNHJ6lcJK6mUG3cqRKyuRzqYonTLuBzi5IyjqZU5b6s4fmxTL1sY5cJCdXr7LKrC01JA/C7gMkDyDkxUCJvyo9pSoRiwIfbTfxju4m6gMA+DTqm1mgs80W9YrBM1A/RhMT2NhObdxsIx9Wy4uuZkXAKgapUQQBtzcV0OQC3HfA6tewQJodNLXfZrbrC/f/iThkym+3XlGpSjykzJYIE4HcPPvNo2lCZpDfvNrC93UQ6DQT9KuESEREV0jWVXbu5S+KP/0jjsG4dB88YG4meTFOiLaKScX3cbKI9LOFxAo11HEo9EoTIDGPOnIVXeQQ6uyXe/cjArk41v3lydWEvczIt0RKS2NOpalM3VAvUBVRFgcEML47EJT7ebWDDLhOhqES1V2B2Q+9JMDUhoNlU7y6gzjOK9zeRAnxuAWc/LjYNB00TqPaqRJOptArq/7whDa8TmFarYVa93qcEpDQxMVgm6oOOiBpC9NEeE53dEm5nLkERUFhnVtdU8gmZDVgzc2gSEu0RdRXWyC8GC2TrAztsKkGMzyUQcAs4Hbl5TY7M87qm5gh3xyVCMVU7tysqkcgMEzQz8+ZM5IJlr1Og3i8wqUpdRa329r3xSqbVBYKNO03s7jShCaA2IFivloioF0KoC4rhmMR7HxvoikocOlNHjXd0MvJH4hK7OkxsaVY9mfEU4HdDJWFkkDyqqr2qJ3RXh4n2v5k4cJqOOZN1dEXVMWtqU8GsKSVcDoEdHRKaUInlJlULTKnWUONTAV82W7SWG91mmmpEXDyp5iHHM0m2rJ7kKi8wa9LQ/V06bCKvdOHYYbepjPcyoJJLfrRbDdOu9QvMadAwvVZHgEnBKM8Y/DMmGrhYUiIUVcFjylBlg1KGGhZtDXkSyGRSFOpWs+rzCkDXBbRMT7CWeX5Pp4ltrSaiSaDK0/tJhUyKoi/a3r90U4bM1pbtTqirnikDgMzVi9U1KwkIkEirzyaEGibldgj43WrfIdS+i8xbSwlEE8CWFhMbd5uwaSp4rvULTK3REPSrOre2ot6O/KF5zSEJpw2YXMMrr0RE/eV3q5FDm/eoxFlTajTMrNcwpVobUAIwM5NkK5HKBT6JFBBLSMTTMjvHWLVnAkKo7N3b2yTCcfV9XuPjRc+xxqYLNNYJdEUl1n5sYNMuE90JCQl1UWNqUMCWV/7BqibwSYuJzbtMOGwqSNa0XKUItUwgllTnGcm0GhZtnV8EPMDMCTiNSggBv1v930wbquPhzxsN+NwmZtULzKzXMSkwcS4iSSnRHJLYtNNA0gCmBzXUB1TnylicPjKSGCzTuCWlRDgGdEUlOrtN7OmS6IhIdCfVPBohJATUSYLQcgGkELleX7Ud1WCYMhNgSgn1SpXMQsPwDze2Z+oGKj1nf0yl1X7W2XvOElmOw5arc5syVFbLHe0mPt6jGle/R2BqjcCkgAa/W2BXh4lNu1SNSJ8LmMGheUREg+KwCcyeJNAdVxciP9pjqnwP9Rqm1WrwuQQMI1NjPJPNV13klUhmMhJH4rlyO6lMDdr8wAeZpEtWuyZlbuSTrqnhvsNVyo+GTpVH9TJ3x4Fpe8kyblUTsMojWTWJ8zOXdyfU9CybDjgy84/teuXlUxkMm57rbQ7FVHK+DTtNTKnWMGeyhmlBbUBDyeNJNQIwHFPl1Wq8YkwmF2sJmdi0y8CWPSaShuqY+XiPCa9TZXSfUaehLqBGPBZ/dQhhdT6Nrc80lBgs07iSSEm0hSXaI+oKeUe3Km0hIOF0CHgcAlPL9JJWAl0T0B2D345dL2xck2n1Rf5hk8TfpAmnHYgn1dXmWRyaR0Q0pLwuVQPWMNUoqP/bmsbfmwQcdpWIyDQBI3NB17TqzCKTfVhHdoitKzOiyN6HDN00/uiaQMDTv9fYbSI7h1jh30V/CJE7P4qnJPZ0qeHvQZ/A3MkaGuv0Hus2m6ZEV0xlEO/qVvPLO6MSsaQa2SilhK6r+uOzJ2mYGtRGbTqGpT1iYmMmSI4lJOqrNHjzphhGExJtERPb2004baWJDq1dt+lA0CcQzMuE7nVVzsgVBss05oWiEs0hE7s7VO9xOK7qPXoc6j9kfRWgidEvtzBeOWy5LJ2mVEP5XNVjs+YjEVGl0DWROcFUF4JTRm7odG6qEL+HiUaDyy4wNaguanVEJN7ZZODv203MrBeYXa+jPiAQiQMd3RJtYTW9IhRVyVaFpupOuxwCDVW5DOCptAqg39lkwO0wMLlaw6xJGqbWDGw6xkClDIm/bTOwYYeBaBKoCwg0VJeeR3ucueRx8ZQa4QLkpgdakmmJrS0Sm3YZEBDqYp5dwOtS0z2qPSoI9zrVNMDxVnuewTKNSZG4yvjY1KaC5O6kunLld6nhwpXYczwWaELAPQS910RE1HfOTDUEIhpbdE2gLiBQ61dT/z5sMrBpp4lqr5pSEU2qHlaPE6jyCjRU99zZYLcJ1AcE6gOZ6irtJra2qOkY+zSo4c41w1yTPZaUWPdxGv/cYSLoV8nh+sJlVwloyyvcRiqtcimE4xItYZlNamuVIptRJ3DUvuPnC4/BMo0ZsaTK+Li9zcSuTolITMKemWtbX8WeTiIiIiIaeUKoYfEBj454Jn+A1yVQVzWwaRBWr61pqqSuaz4y8OF2A421GmZN0jG5eug7hrqiEms2p7G1xcTUoOhX/fj+sNvU9JD8cmJWZZjmLon2yPg6n2ewTKPKMCVaQ5mra82qfIGuqQC51s8kJEREREQ0drgcQzeUWNNyU+EicYmP9qjkf5OqNOw3RUNjnTYkVUiau0y8symNlpCJGXXaiI/QFMIqgVo8iHvsY7BMI87KYr2r08SWPSaaQyYMQyLg0TCjjgmliIiIiGhi8bkEfC6BZFrNg37zQxP1AYH9puqYWTfwec2ftJh4d3Ma0YTEjHqNHVH9xGCZhl3aUNmWu6JqqMnuTlULORKXcDuB+oCA084EXUREREQ0sTlsAlNqVHKxtrDE6n+k8aFfYP8pGmZO0uF19i3YjcQltjYbeH+rAU0DGut4rj0QDJZpSCXTmTqQcfWftKPbRHNIojueyaInVIZAr0slTOA8ZCIiIiKiQrqm6j+bfon2iMTbGw18uN3EjHqBKdUqI3dxb7OUat1PWtRw7q6oRNAnUO3l+fZAMVgmAKo+XNoEUgaQSqu5xFaNR8PM1HuUaj1TZpZlakEapgqSW0OqBzmRkoinVW48m64yBNZ4VaZPBsdERERERH2jZTJyB/2qjvPfmyT+vs2E363KW02t0VDr19AVlfh4j4HtbSZiKXXuPWsS8/8MFoPlCSielGiLSLR0mWgNq+A2mVZBr/qRMCQgTcCEurWm4wuo+/n/7SQATQDOTE25oEtN4mdgTEREREQ0eJrI1WY3TJX/Z+NOE//cYcLrEoglJSCBWr/A5Bqegw8VBsvjlGlKJNK5IuHxlLoPCdhtar6D3QY4dJXCPWWoeQ+7O0zs7lRDpaWUcDoEbBqgaYCuq95fXRPQNBUAa0LVj2PgS0REREQ0+nRNoNqrqseYUiKaAKo8YkgyZ1MhBstjWDKt/vjjKYlYUiKWBCJxE6Gomg+cSgNJQ9Utk6reN/ITsmsaYNcAm66SBMRSalh0wC0wrVZA1zjRn4iIiIhovNKEgM812ntRuRgsjyBVkFvCzMwBNkxAZm4TKYloUgXHXVETnd3qfjItkTTU/GABFQA7bJneY7uA1y1g19UVpmKGKZE2gLSh5js0cM4wERERERFRnzBYHkHvfZxGxExlg2QpAVOqhFmpTEAMSNh0NefXaReodqr7A6k9rGsCuqbmEhMREfXmySefxN133433338fyWQSc+fOxYUXXoirrroKdnvfG5O2tjY8//zzeO+99/Dee+/h//7v/xCLxbBkyRK89tprw/gJiIiIhg6D5REUiQOhtES1V80JVj3FAkKgx95hIiKikXDllVdixYoVsNlsOP744+Hz+fDGG2/g2muvxfPPP49XXnkFbre7T9v605/+hH/5l38Z5j0mIiIaXgyWR5jTDgQ8DIqJiGjsePbZZ7FixQr4fD68+eabmD9/PgCgtbUVxx9/PFavXo0bb7wRd9xxR5+219DQgK997WuYP38+5s+fj/feew9f//rXh/MjEBERDbkxkeHpySefxHHHHYeamhp4vV4cfvjhuP3225FKpfq1nfXr1+PWW2/FkiVL0NDQALvdjpqaGhx77LG4++67+709IiKiieCHP/whAGD58uXZQBkA6urqcM899wAAVq5cia6urj5t7+ijj8bPfvYzLFu2DAsWLIDT6Rz6nSYiIhpmo96zPFTDvtLpdLaB9/l8WLhwIRoaGrB9+3b8+c9/xurVq/GrX/0KL7/8Mqqrq4f5UxEREY0PO3bswJo1awAAS5cuLXl+8eLFaGxsRFNTE1588UVccMEFI72LREREo2JUe5bzh3298847ePnll/H0009j06ZNOPTQQ7PDvvrqiCOOwBNPPIHW1la88cYb+PWvf40//elPWL9+PaZMmYJ3330XV1999TB+IiIiovFl/fr1AIBgMIjZs2eXXWfBggUF6xIREU0EoxosD+WwL5vNhrVr1+Lcc88tGe516KGH4vbbbwcAPPbYYxyOTURElLFlyxYAwIwZM3pcp7GxsWBdIiKiiWDUguW+DvtKJBJ48cUXB/1+8+bNAwDEYjG0trYOentERESVIBwOAwC8Xm+P6/h8PgBAKBQakX0CgEQigVAoVPCTSCRG7P2JiIhGbc5yX4d9NTU1Yf369YOeI7Vp0yYAgMPhQDAYHNS2iIiIaHjdeuutuPnmmwuWXXvttbjmmmsGtd1YUiIS7oDdBsgkq1NUqnCoY7R3gUYAj/P4EgmZ0FIa2tvtfX5NR0fpMR7JWG7UguWRHPYlpcwOwz7llFOYlZOIiCjD7/cDALq7u3tcJxKJAAACgcCI7BMAXHfddSV5RpxO56Db8FhSwudPwV8VhN/NYLmSBarYOTIR8DiPH3GY8Hs0BIN9D5aBkQ2Oi41asDySw75uvvlm/PnPf4bP58Ntt93W6/qJRKJkqNdQNNBERERjzaxZswAATU1NPa5jPWetOxLY7hIR0Wgb9dJRw+1Xv/oVvv/970PTNPzv//4v9t13315fM1xDv8KhDiSFCbcYE+WtaZhwSFDl4zEeX6JxiVgSaG+3I+HsW09iuWFfwOhe3R4uVk6PtrY2bNmypezUqLVr1wJAQTJOIiKiSjdqwfJIDPt68skn8eUvfxkAcP/99+Pcc8/t0+uGa+iXP5BCQlQjUMVgudJxSFDl4zEeP3SnhJ4AgkE7vH0MloHKDIzLmT59OhYuXIg1a9bg0UcfxQ033FDw/OrVq9HU1ASn04mTTjpplPaSiIho5I1a1Dbcw76eeeYZLF26FKZp4r777ssGzX3hdDoRCAQKfjgUjIiIKtX1118PALjtttuwbt267PK2tjZcfvnlAIArrrgCVVVV2edWrVqFAw44AEuWLBnZnSUiIhoho9azPJzDvp599lmcf/75MAwD9957L7761a8OfoeJiIgq1BlnnIFvfetb+OlPf4pFixZhyZIl8Hq9eP3119HZ2YljjjkGt9xyS8Frurq6sGHDBsTj8bLbXLRoUfZ+S0sLAGDNmjUFy2+88UacfPLJw/CJiIiIBm/UguXhGvb1/PPP47zzzkM6nca9996Lr33ta0O960RERBVnxYoVOOaYY3D33Xfj7bffRiqVwpw5c7B8+XJcddVVcDgc/dreO++8U7IsFAoVLLeCaCIiorFoVCfPDvWwrxdffBHnnHMO0uk0fvaznzFQJiIi6ofzzjsPb775Jrq6uhCNRvHBBx/g2muvLRsoX3rppZBSYuvWrWW3JaXs9efSSy8d3g9EREQ0CKOaDXsoh301NzfjrLPOQjKZxPTp0/H222/j7bffLvu+d9xxB+rq6obtcxEREREREdH4Nuqlo4Zq2Fc0Gs3WRt6+fTt++ctf9rju9773PQbLRERERERE1KNRD5YBNezrvPPO69O6l156adlhW7NmzYKUcoj3jIiIiIiIiCYiFvwlIiIiIiIiKsJgmYiIiIiIiKgIg2UiIiIiIiKiIgyWiYiIiIiIiIowWCYiIiIiIiIqwmCZiIiIiIiIqAiDZSIiIiIiIqIiDJaJiIiIiIiIijBYJiIiIiIiIirCYJmIiIiIiIioCINlIiIiIiIioiIMlomIiIiIiIiKMFgmIiIiIiIiKsJgmYiIiIiIiKgIg2UiIiIiIiKiIgyWiYiIiIiIiIowWCYiIiIiIiIqwmCZiIiIiIiIqAiDZSIiIiIiIqIiDJaJiIiIiIiIijBYJiIiIiIiIirCYJmIiIiIiIioCINlIiIiIiIioiIMlomIiIiIiIiKMFgmIiIiIiIiKsJgmYiIiIiIiKiIbbR3gIiIiIhoIKSUkBIwTMCQgGmq++EYYNokzMzzUgJm5hYAZPb1hdsTAhD59wWgZW8FNAFoGrK3euZHEwJEVHkYLBMR0bhmSoloAuiOS0STQDQhEU1IdCfU/c5uCadd4JQF9tHeVaIJxZQSyRSQMoBESiKZBpIGkExLpNJAMg2kDbU8ZQCptFS3BpA21HNpE0ilgbQJGJnHhqmeN0zAMGXZ9zYMJ3Q9MWKf1QqmdQ2w6cje2jS1zK5nHusCNl09tmce223qvsMm1HIb4Mgsd9jUckfmvq4BgoE50YhhsExERGOOlBLxlAqAI3GgOyERiasAWC3LBMiZwLg3kwKcdUTUH6ZUQWwiBcSTUt2m1P/LREo9TqQkEmlklyXTKhBWzwEpo/f/mz0RArBnAktbJvC02wRcmnqsZYNSLdOzi4LbZCIJj8dZpnc4s/3sG+XuS+T1PMtM73OmR9r6kabMPc70ZhuZAN40c8G8YagAP22o31E6cwEgZZglvdn9oYm84Nku4MwLqJ12wGkDnHYBhz2zzAY47IDTJuCyZ56zqYCcveFEvWOwTEREI8YwJbrzgt9IPBf8WsGwupUwzZ6347AJeJ1AjVdgeq0GnxPwuAS8TgGPE9lbj1MgnZaIJXlSSBOPlKqnNpZUAW88E/jGkirwjSVVkBtPAbH8gDgJJNKyX0FdLlgTqPKoAM5p17I9orne0UyPqZ67n+1NteV6XVVwO/D/t6GuMAJVY/M01zBltvc8lVYXFZKZgDpp5HrdreXWRYhUWh0v1VOvlnVFrQsTe/nC7EH+MXPakfmxAmyRCbxzQbfTLjKPc+vZdPZ0U2Ubm98iREQ0buT3Als9vyoYzgW+VlAcS/Z89i0E4MsEvA1V6tbrEpllyN73ONXJW191G0PxKYlGjzWc2Qpq40kglglq1WOJWJlAOJ7a+0WnfA6bgMsBuOwCATfgcmhw2dVjpx3ZXknr1mkvDJ7YS9l3emZoNrIzQwb/u7NGAiQzQXQ8pS54qKA61+OfLDMaIJGS6Oy2AvT+Bd1CqGDb6r12FAXYVg94tvc709Nt3bfbcq9j4E1jEYNlIiIqkTbUyXY0oW6t4c6RuDo5707keoj72gtc6xfwuTR4Xbmg2Je573OpE3WecFOlsnp548nccOZsb28m8M0Peouf70svr6YBbruA2yFQ4wXcDgGXQ8BtB1wOFei6HQJOh1rP5cg8tgGaxv9745kmRObiBjCY4Nswc8Pv84PpRDrXm51I5z+Xdz8tER1g0A2owDt/frZdF9nA25EXWKtbNSw/ndBQHTMKXpddn8E3DQEGy0QVRkqZmSdlJUWR2UQo6ew8KpmZX6XmXeXfz2YOBbIBUHbuVg8EVCMHqJM167EmBERm/piwnhOAbs0t09QJmvU4m1VUyyVF0TLz03SdgdRApI3cHEPrpDuR6Y3K74myequiSTUXOJne+5m5rqkhzvm9wB6XgC/TA+zN9Ab7XKJfvcBEY5Vp5gKG/CAinioMJuKp0uHM8cxw5x5yUZWw67le3vpML2824M0sdzuQDYTdmeUMDmiwdE39bbkdwGCCbuv/SzKtErfFU8gML7eW54LtVDq3rrU8lVYXYzu6gWS653nehmGHrqd63I/iQDsbiGd7vq3537n71jB0h144ekLnBaUJicEy0RhhBTX5PQnW8KniZCpWZtGUkRlylZnjpJKHDCJzyBinEreUZhvVNZENqG2atVxkg++CdQrWE9lgXNOQF7Sr14rMMivgt0qFdEcBaZfZRDFW4pjic9T8pDEAsuVLrCQyVoIYU8q8+/kXNmTeBY7c8U1ZF0KMXObYXHKdwpOQnjLFFrPp1gmSmm/ocWrwOFRA7HbkhkFb84CdNp6UV6Inn3wSd999N95//30kk0nMnTsXF154Ia666irY7f3PJv7ee+/htttuwx//+Ed0dXVhypQpOOWUU3DjjTdi0qRJw/AJerdhh4EtLRp2RQ2VCCrvhD7/hN3qRcue0Pfzu9WaD+qyC9QFMgmWHCI7tNkKel1Fvb4uB0/KafzThijoBlQngGGitI1LS3R1xWFzurLL8p+3/l+rddXF4M5u9X95AB3f0LW8OdvZoed50xLyhqMXzwHnlIXxi8Ey0RCTUgW61vDV4ltrmF0sKRFL5OaW9TWoAXJZQp121ZPgcQjYPVYZCi0798euATZbJrgsE0Rm60SKXC+vlpctND8I3NtXuxX85QeC+XUtDSkhTRRmEC2oiZnp6Za5kiBmZlk2s2gmq6iR/zgTSCbTErG8UiJps+/z9AZipEuS9IVNLxyC5nepK+Uuu5Y9Ybdu80/Kcz1SbLwnuiuvvBIrVqyAzWbD8ccfD5/PhzfeeAPXXnstnn/+ebzyyitwu9193t5TTz2FCy64AOl0GgsXLsTs2bOxdu1arFy5Ek8++SRWr16NuXPnDuMnKu/Xb6XwzkY7dFtazRstkp2Dmeldyk9WVS7JUdm5vBzWTDRkhMhkRdcBjxPIPyMJuUwEqvR+bzN/uHkuuM4F2fkXoK2OimRa5Q5Qc74lQrH+jRix5AfQrvygukxbnb/c5eB3y2hgsEzUB2mjMHFRNJGr5RrNzudUy8JRJ4S290BKiNwXX8AjMKlKBTX5w+uKr0bmJ8xgEozemZkr0VavrFWPM1ebszCwNs3C5UamPIhh5gX9mYA+Fk3A6XJCZnqEJdRyqws5225mnrMuNmQvOlglTJC5QJF/wSKvdzvbe57tDc/LHKvn32fjSYPz7LPPYsWKFfD5fHjzzTcxf/58AEBrayuOP/54rF69GjfeeCPuuOOOPm1v586duOSSS5BOp3Hfffdh2bJlAADDMHDppZfi4YcfxtKlS/HOO++M+HfZmUfa4UIYwaAb1V6RzcpsXWzi9ytR5Ruq4ebW1LdkXkK1RMHUjPJl1hKZ9VvD6rY/F/jzR61YwbbLURpk5yfosx477OzZ7i8GyzRhJdMqwFX1WguDYeu+tby3+ZsOmxqeGvAIBD0mqv0OuB2ZIasOAbdT9eBZw1yd/LIadpoQ0DKBZM7Q/M5DXcaYLUlCNBA//OEPAQDLly/PBsoAUFdXh3vuuQfHHnssVq5ciRtvvBFVVVW9bu8nP/kJotEoTjjhhGygDAC6ruPee+/F888/jzVr1uCVV17BF77whaH/QHtx+Cwd//jYRLBWg9/N72EiGjghRPaitXeA5xhWwJ3Im4qXyOY+KMyNYN3GMvkQ2iLqNf3p3S7uxXbaMsF2QQdNJui2FXXY2CdebgSe7VHFsMrXWAFuNCGzpWwKlmWy+PY2/8xKXjSlBvA6tbw5m2r+pscpMj+FQ1hDXREEqvzD/XGJiIbEjh07sGbNGgDA0qVLS55fvHgxGhsb0dTUhBdffBEXXHBBr9tctWpVj9vz+Xw47bTT8NBDD+GZZ54Z8WCZiGgsyQ+4fa7+B6FWpv1EXkBdnP8mm3QwVdjbHR7AUHIra3l2nnZxuTB7rixY/qgdp00gFDPHXU4GBss0ZplmLvi15vxGM1l7o9aw52ThkOi9/WcXQvXyel0CNbUqgZGVsdebCYw9VkDs4LBWIpoY1q9fDwAIBoOYPXt22XUWLFiApqYmrF+/vtdgORwOY/PmzdnX9bS9hx56KPveREQ0MELkAtKBjJaRUk1RK+i9LjOkPJkqKiGWWa+7WyUd7Uu5sJQBLJgjce7RjoF81FHBYJmGVdmhJenSepKxZC7RVSyRe9wba/hzlUdgSk0me28m2LV6gX2ZXmDWcCUiKrVlyxYAwIwZM3pcp7GxsWDdvdm6dWv2fk/b7M/2iIho+AiRyYEywGDbkl8uzAqmVdWWXAK11rDE7En9T8g2mhgsUwFTShiZUjSqPI0suJ9Ml5apscpt5IrSF9ag7Gt6/lyyBZXwyu3Q1GOnCn6zc4CdAp7MfRsz+BIRDUo4HAYAeL3eHtfx+XwAgFAo1Oft7W2bfdleIpFAIlGYLNHpdMLpdPa6D0RENLL6Ui6suctEladMGYIxjMHyCGkLm9gTEkjCRNosLLGDTKZdKQETqsSOlV03vxZr9r5UV2/ys/OaeWV4rJI7VmkeI1tSR+aV1rGyBMtM7dbcOgNllduwEgP4XVaigLzMfI5cQgF3UV1Jlq4hIiLLrbfeiptvvrlg2bXXXotrrrlmUNuNJSUi4Q7YbYBMst2pVOFQx2jvAo0AHufxJRIyoaU0tLfb+/yajo7SYxwMBodyt/aKwfIIeXF9Gk+tccBEuig778gQQpWdUXV2ka2z67CpObtW/Tqbpqn6vDbAoavSNQ6rPI1NJSBw2NVzjsyQDasIu02bWNnxiIgqgd+vEhJ2d3f3uE4kEgEABAKBPm/P2ma57Nl92d51112Hq6++umDZUPQsx5ISPn8K/qogs2FXuEDVyJ1Q0+jhcR4/4jDh92gIBvseLAMjGxwXY7A8QubN1rFhbhpp4UC1VxTWXIUaupBdJlStVeu+LgCRqb+qfkS2HqtVkzVXn1VkA2Etc6vqt/KEgIiISs2aNQsA0NTU1OM61nPWunszc+bM7P1t27bh0EMPHdD2OOSaiIhGG4PlEXJIo475Mw0khI6G6vE1Vp+IiCrXvHnzAABtbW3YsmVL2YzYa9euBYCCGsw9CQQCmDt3LjZv3oy1a9eWDZb7sz0iIqLRwqiNiIhoAps+fToWLlwIAHj00UdLnl+9ejWamprgdDpx0kkn9WmbZ555Zo/bi0QieP755wEAZ5111kB3m4iIaNgxWCYiIprgrr/+egDAbbfdhnXr1mWXt7W14fLLLwcAXHHFFQXzj1etWoUDDjgAS5YsKdnelVdeCY/Hg9deew33339/drlhGLj88svR2dmJhQsX4vOf//xwfSQiIqJBY7BMREQ0wZ1xxhn41re+hUgkgkWLFuHEE0/EOeecg7lz5+KDDz7AMcccg1tuuaXgNV1dXdiwYQM++uijku1NnToVDz74IHRdx7Jly7Bo0SKcf/752G+//fDQQw+hoaEBjz76KJNCEhHRmMZgmYiIiLBixQo8/vjjOProo/H222/jxRdfxPTp03HbbbfhjTfegNvt7tf2zj33XLzzzjs466yz8PHHH2PVqlUwDAPf+MY38P7772Pu3LnD9EmIiIiGhpBSDrywLvXLM3/ag4SoZoKvChfqamcZgwrHYzy+dMclognglAV2eJ1968lsb28f1VIVNHxiSYnH3tiDYC1LR1Uyfk9PDDzO40tzl4kqj4YT5/W9dNRot8eM2oiIiIiIiIiKMFgmIiIiIiIiKsJgmYiIiIiIiKgIg2UiIiIiIiKiIgyWiYiIiIiIiIowWCYiIiIiIiIqMiaC5SeffBLHHXccampq4PV6cfjhh+P2229HKpUa0Pbee+89nHvuuWhoaIDL5cLs2bPxzW9+E83NzUO850RERERERFSJRj1YvvLKK3HeeefhrbfewpFHHokvfvGL2LZtG6699locf/zxiMVi/dreU089hUWLFuGpp57CzJkzcfrpp0PTNKxcuRKHHXYYNm/ePEyfhIiIiIiIiCrFqAbLzz77LFasWAGfz4d33nkHL7/8Mp5++mls2rQJhx56KFavXo0bb7yxz9vbuXMnLrnkEqTTadx3331499138fjjj2Pjxo246KKLsGfPHixduhRSymH8VERERERERDTejWqw/MMf/hAAsHz5csyfPz+7vK6uDvfccw8AYOXKlejq6urT9n7yk58gGo3ihBNOwLJly7LLdV3Hvffei6qqKqxZswavvPLKEH4KIiIiIiIiqjSjFizv2LEDa9asAQAsXbq05PnFixejsbERiUQCL774Yp+2uWrVqh635/P5cNpppwEAnnnmmYHuNhEREREREU0AoxYsr1+/HgAQDAYxe/bssussWLCgYN29CYfD2fnI1usGsz0iIiIiIiKauEYtWN6yZQsAYMaMGT2u09jYWLDu3mzdujV7v6dt9md7RERERERENHHZRuuNw+EwAMDr9fa4js/nAwCEQqE+b29v2+zr9hKJBBKJRMEyp9MJp9PZ634QERERERHR+DdqwfJYduutt+Lmm28uWHbttdfimmuuGdR2w6EOJIUJtxj1il00jMKhjtHeBRpmPMbjSzQuEUsC7e12JJyiT6/p6Ch/jIPB4FDuGhEREY1hoxYs+/1+AEB3d3eP60QiEQBAIBDo8/asbVZVVQ14e9dddx2uvvrqgmVD0bPsD6SQENUIVDFYrnSBKp5QVzoe4/FDd0roCSAYtMPbx2AZYGBMREQ00Y1asDxr1iwAQFNTU4/rWM9Z6+7NzJkzs/e3bduGQw89dMDb45BrIiIiIiKiiW3UujjnzZsHAGhra+sx4dbatWsBoKAGc08CgQDmzp1b8LrBbI+IiIiIiIgmrlELlqdPn46FCxcCAB599NGS51evXo2mpiY4nU6cdNJJfdrmmWee2eP2IpEInn/+eQDAWWedNdDdJiIiIiIioglgVCfPXn/99QCA2267DevWrcsub2trw+WXXw4AuOKKKwrmH69atQoHHHAAlixZUrK9K6+8Eh6PB6+99hruv//+7HLDMHD55Zejs7MTCxcuxOc///nh+khERERERERUAUY1WD7jjDPwrW99C5FIBIsWLcKJJ56Ic845B3PnzsUHH3yAY445BrfcckvBa7q6urBhwwZ89NFHJdubOnUqHnzwQei6jmXLlmHRokU4//zzsd9+++Ghhx5CQ0MDHn30UQjR9wQvRERERERENPGMelrmFStW4PHHH8fRRx+Nt99+Gy+++CKmT5+O2267DW+88Qbcbne/tnfuuefinXfewVlnnYWPP/4Yq1atgmEY+MY3voH3338/O6+ZiIiIiIiIqCdCSilHeycmimf+tAcJUY2G6lG/RkHDKNTVzrJCFY7HeHzpjktEE8ApC/peOqq9vZ2loypULCnx2Bt7EKwNwu/mSLNKxe/piYHHeXxp7jJR5dFw4jx7n18z2u0xozYiIiIiIiKiIgyWiYiIiIiIiIowWCYiIiIiIiIqwmCZiIiIiIiIqAiDZSIiIiIiIqIiDJaJiIiIiIiIijBYJiIiIiIiIirCYJmIiIiIiIioCINlIiIiIiIioiIMlomIiIiIiIiKMFgmIiIiIiIiKsJgmYiIiIiIiKgIg2UiIiIiIiKiIgyWiYiIJrhwOIzrr78e+++/P9xuN+rq6nDyySfjjTfeGND21q1bhzvuuAMXXHAB9ttvP2iaBiEEHn744SHecyIiouFjG+0dICIiotHT3NyMY489Fhs3bsSUKVNw6qmnYs+ePXjppZfw0ksvYcWKFfjmN7/Zr21+//vfx3PPPTdMe0xERDQy2LNMREQ0gS1btgwbN27EkiVLsHnzZjzxxBN488038dvf/haapuHKK6/EX//6135tc9GiRbj++uvx1FNP4aOPPsJnP/vZYdp7IiKi4cOeZSIiognqww8/xHPPPQdd1/HAAw/A4/FknzvppJNw6aWX4oEHHsCtt96KX//6133e7vLly4djd4mIiEYUe5aJiIgmqFWrVgEAjjnmGMycObPk+aVLlwIAnn/+eaRSqRHdNyIiotHGYJmIiGiCWr9+PQBgwYIFZZ+3lnd3d2PTpk0jtl9EI80wJUxTjvZuENEYw2HYREREE9SWLVsAADNmzCj7fCAQQCAQQCgUwpYtW3DQQQeN5O4RDSnTlOjologlAcMEZF5srGuAKQEpJQQkdF3AYQMcNgGXA3DaACHE6O08EY0KBstEREQTVDgcBgB4vd4e1/H5fAiFQgiFQiO1WwCARCKBRCJRsMzpdMLpdI7oftD4Z5oSbRGJcAyo9QnMbRDwugSc9lxAbLcBpgnEkiqYDsVMdHYD0YRER1gikQKEJuF2AB6ngMcBaBqDZ6JKx2CZiIhoHLrmmmvwm9/8pt+v+/nPf47FixcPwx4NrVtvvRU333xzwbJrr70W11xzzaC2G0tKRMIdsNsAmWSwU6nCoQ4YpkRHRKI7DgR9AodM0TG9VoPHWea4G+rGaQeq7cAUL4A6IJmW6I5LhGISXd0Se7okWkIS0aSElBI1Xg0+9+j3OseTEtGEhBCAXRew6YBNAzQd0Cq4Rzwc6hjtXaB+iIRMaCkN7e32Pr+mo6P0GAeDwaHcrb1isExERDQO7dy5Exs2bOj36yKRSPa+3+8HoOYk97Z+IBDo93sNxnXXXYerr766YNlQ9CzHkhI+fwr+qiD87soNIiayREqipctEMlmD+jqBY6fqmFmvweUY/PGWUqI7AXR2S+xoN7C1WaI9LlHlBaq9YsQCUyklogmgKyqRTAFOB1DvF0gbUD+mRMwE0ik15NztAOr8AnZb5f3NB6pGLnCiwYnDhN+jIRjse7AMjGxwXIzBMhER0Tj08MMP4+GHHx7UNmbNmoV169Zh27ZtZZ/PH349a9asQb1Xf3HINfWHYUp0dkuEYxI2XSDgFpi3vw0z6zU47UMXIAoh4HMBPpfA9FoN+0+V+KTFwEd7TGxtlvA6JWr9AjZ96INSw1S95OG4GhbudQKTqzU01mqorxKo9qj3TBlAMq16xZNpoDshsXmXiV0dJjRNoi4g4BrC3wlRJWOwTERENEHNnz8fzzzzDNauXVv2eWu51+vFfvvtN5K7RlTAMCXShpWES90apppnHI5JSAlU+wTmzdYxtUaDlrajvk4f9v2q9gpUe23Yd4pEU5uJzbsMbG+TcNpVUGofRNAspUQ8pT5fLCEhhIDXKTA9qGF6rYb6gIYqT+kQcKemhpMDueWz6jXs7JDYtMvAjjYTEiqoLzskfQRJKWFKFeAbBpA2c8faMNVj0wB0XQ2lH+39pYmHwTIREdEEdcYZZ+C73/0u3nrrLWzbtq0kK/ajjz4KADj11FNht/dv2BzRYKTSarhzJC6RMlS2arsGaJoKATVNQBPq8X5TNTTW6phUJbK9yO3tIxtUeZwC+0/VMXuShu1tJv65w8SONrNfQbNhqqHVVpIxKdXw6SqPwIHTdNT6tQEHjDZdYEadwPSgwO5Oic27DTS1mdjTKeG0A363gNc1+PnNppQwTBXoFge/1o+UEoCABCAEoAsVDNs0AV1T++p1ikwyNcBl19AWNrG7U+2v360uUgxH7z1RMQbLREREE9TBBx+M008/Hc899xy+8pWv4De/+Q3cbjcA4KWXXsKDDz4ITdNw3XXXlbz24osvxrvvvosrrrgCV1xxxUjvOlWQtKF6UONJiVhKBVk2XQ11nl2vYVKVhmqvgMMO6EJA01TwrGuAJjCmgiaHTWCfBh2NdRqaWguD5hqvyPaIG6b63IYJJDO9qpoGeBwCVR4N+00RqPYKBH0aAu6hy7ytaQJTgwJTagTaIxKtIYnt7SZawxJtYQkhJHwuFcSaZm5frf22ym0JSMhMz7UAVOCbeWAdGz1zbGy6gN8l4HGqiwouu4BdBxw2wG5T9+02lZjMYQPsemlvuZQaOroldrab+HiPiZ3tEoCE3ZQIVA3Jr4aoLAbLREREE9j//M//4MMPP8Rrr72GOXPm4Nhjj0VzczPefPNNSCmxYsUKHHbYYSWv27ZtGzZs2IDW1taS51544QXccsst2ccffvghAOB73/seVq5cmV3+l7/8ZRg+EY110YTKLp1IqeBL1wCXQ8DjEJheK1Dn1zLDmwUc4zQhlV1XQfP02lxPc0fEhKZlelB1wO0QcDtUj64KigUCHlWWarizawshUOsXqPUD+0/TEYlLtIZMNIdM7OyQkKZKGua0CTjtali306YCX5G5SKEJFSALoS5uZLNw593vKfgdyP4GferiwX5TJfZ0SmxrNfC3zRLbWkxMqanM5GU0+hgsExERTWCTJk3C2rVrceutt+Lpp5/Gc889B6/Xiy984Qv4t3/7NyxZsqTf22xpacE777xTsvyjjz7CRx99NBS7TeNMPKVKL0UTmczMAQ0NVSIz/FfA5xqZIHGk5fc0RzLJx6yeVH0M1Wn2uQR8Lh2zJukwTJkd6j4WOWwCjXUCjXUagk47doQ1bGs14XWpediVXCqLRp6Q0hpQQcPtmT/tQUJUo6FaG+1doWEU6mpnGYMKx2M8vnTH1Qn6KQvs8PZxrl97e/uolqqg4RNLSjz2xh4Ea1k6argZpkR7RCISVz2MtT4NsydpaKgWqPGKYQ2M+X94Ymhvb4e/qgZb9pj4W5OB9ojEpCp18YWGTiiqErGVSyjXH81dJqo8Gk6c1/ccGKP9f5k9y0REREQ0ZExTojWsyhzVBwQOmqZhco2GWp8Ys72VNH7ZdYH9puqYUqPhw+1pbNploqXLhK6rJHC6lv8jsvdtem7ee6WNaBgq3XGJlpCE16lyBWzZI1HjA6q9E+d3xmCZiACo7JTJNBDPzCGTEpCQ2fuASuCRvd/LsvzHBe/Ty34Uf/Va38Wi3DKRW97bMkA1kk676uHgMC0ioqFlSon2sEQopoLkebN1zBriOsdEPfG7BY6ca8OMOpW4LGlIJJIS8TSQTKm602lT3U+bEqZVmirvREYiF0jbdZWgzJp3bRuCudfjRTwl0dwpYdeBA6ZpOHCaDpsu8PEeAxt3qpriNb7B9zSPBwyWiSYgKVVZilhSZSBNpVUD4bIBTru6emhdaRUiL5FHZpl1pVaIvB9Y5TxyCT+yQWtm5kFfv05l5h8r2DZlLiiXEjAzz5t561jZOgHVq2HmLUfmtYYBdCRUUhlAQhOAw66SrPhcY2v+GBHReCGlREe3RFe3qoX76f00zG7Q4XbwO5VGlhAq0/eUmvLPp41MGStTlSdLGarGcyqtOgySBhBNmOhOANG4RCINRGISyUzZK+uSv03PJT2zLsJXQtCYMiSau1SW9pn1Gg6arkqyWZ/t8Fk2zJ4k8dEeA5t2mdjSLFHrV+XNKhWDZaIJJJqQ6OxWwaJVwmFytcou6XergNHrVBksswFvBXz5S6l6yFOG+h10J9RtOC7REVG/k+2tEhCqfmPAzfqNRES9kVKiKwq0hyWqvQJH7auC5L7mBiAaabZMlm6lp7/T7ApIGeqcKZ7pXIinVGdDOGqiI/r/t3fn8U1V+d/AP/dma5s03WmBlrIXBRQQFAWVAcdRVEQQRhkEXMYFF1BUYJRRwJ8wjI8jgijjoLizCEUZYGRxGQFFlo7iBggFytaVbmmbJrnn+eM2abO0dEmaNv28X69Cc+69Jyf3pLn53rOp82FYKtRAGxCApAbRYbrqWcRbS0825/eh5FgZF6do0DHW97AJc4SE/l206JoocPScA4fOOFBoEWgf03pnr68Lg2WiEFdeqX74VVSqAXJStIxO8eq6lf5cu7Elc7aQG2S15TzG5L69vFLtsnW20IFT+aJq2QwFxjB1plZ2ISQicldUpk7eFRkmYWA3Dbq313BSJQo5uqrZy73f22pAbbUJWKxq0FxmFbBUCOSXqkujFZepgbYihPodpGYQrW05379sdoGz5wXCdMAVPTTo2UFTr6A3KkLCgK5aJMfJOHjSgeO5CiKrZiQPhYYWJwbLRCHGoagzj5aUC9js6hIdCWYZqfEy2kVLiI4IrQ8xfwjXVy9D0a+zGjhnFynIylNc457CdOp4qAhDsEtLRBQ86nq8AhF6oF9nDbonaUK6CyZRXQw69YZ6rMdNeJtDneBODaQFSsrVm0vOILqiEhCSgCSAML26zni4Hs3eMltoUXvYpSbIuLSzBgnmhq/Y0y5KxrUXS0jJVtSgOUcgKQYhMwyDwTJRCKi0CxSVCZRVCEiSumZllwQZ7WPV2UejA7xERyjRayV0iJXQIVZG307qOLz8EoFT+QryihXkFQFlpQqSNAoiwyToQrDLERH5n82hfkFWxze2vs8NdVZcBeF6Cb1TZPRsr0GMiUthEvmi00iINgLRRve/dZujuuu2xSpQWq7OHF9Ups46bbOpQ8IMOnViMb1Wgk4L6DX+a4l2TuiaXdjw1uTaaKtmJE+KlvFjlh2/nVNgd1RP6Sqhau4ZAPHmJr+EZsVgmVosh6J+oDgnoVKcf2VwjjJRH2g0kmv8raEBEywIoXaPKatUn0erUbuUtJY7YQ5F/XAtKRPQyBJiIyWktdcg3iwjLrL1vI6WTKuRkGCWkGAG0jrIKCkH8ksVHD4uwyIknCsUsCvurc5NGZtkswuUVarduqSqSdS0suRa3kL9n/VK5A9lVgGjITBdIW1290kUhQC0strSUlAiEKYXSDC3jmWUyivVCX/0GqBXRw16tG9c6xMRqUF0VIT3hFhWm9r6XFKh/p9forZCV9qqxkQ7AKGI6hVFnEtiSXBNylo9ESsgQXL9bndUTV5mr54UVacBkuMa35pcG3OEhME9tEiOE8gvVqDVqt3Ynd9htLIEU7jfnq5ZMFimFsGhqF8syqzqnXdFqH/8EXoJ5nAJXRMlGLSSGohI7jMtny9VkFusdiOptKnLHYXr3WdrBtQPDgCw2gUqKgUAddyI0SChW6KE0qpA6FyhgEGr/sEbDS1ngish1CUPyq1qtxkhgCijhEs7a9AhVkaCWWIgFUCSJMEcAZgjNIjS6mAy63C+VB2bdDpfQUGpeldYltQv4MYwCWE63+8fIdQZOK226ve8gHohCddLiI6QoVTdzLE71IlFHEL93eFQ7zprNWr+YXr1JhFbuInqx6AFuiTKyLdKOJkroNcJxJokhDXiBqNz8h9r1aQ/docAhAStFgjXSYgxykiMkmCOUOc/MIZJyC5U8GNVV8U4c8udRbai0vmZBnRLlJHWUYN2ZvZSIgoEZ3fumq2uzkadclv1JGNWG2BTALtdHSJWaVNn8K60qd+lnSuDVK8OorZOx5slRIdLiAiTEFHV5TvKKEEXgMlMZVlCp3gJneJD46Yag2Vqdp4tunaHGtBGGCSYw2X0aC8hKkJCZJgEU7iECP2FAlYN7A71TlxRmTqZVU6xgNWmBpTODwxRtfxQQqSMxGgJUREyzBFAZJg687GiVHeDycpXF7TPLQK0GgFzRPMsLSSEukxBRaU646LNrn74QZIAoQZTYToJPdrLSInXIDGKk08Fi14rITFaQmI0cFFHGaUVQEGpQH6JgtMFimvWcVlWx/bZHO53dfVadcmJGKOMxA4Soozql2lzjQnFFKXGshZVd4bLq2bzLrSoAXp5pXrzxLO7k0ZT/X6JMLTObp9EgSDLEi5J1SLMqMPZ8woycxScLVRgsyuIipChq+Wbkc2u3myttKtfQJ1/Zwad+uWzfbSEGJPsullmCvPdw6drotpV8fAZB3457UBhqUBijISwFvJZbrUJ5BapLVipCTLSOmiQFM0gmai5SZLkGs/cEM4VQJxBs1ZuOZOJtUYMllsh57pwQM1WU/UfrYwWt+SNoqhdS8us6hd7oQAGfXWLbnykumxRU1pytRoJMSbvWY6dnB8c6mLzvvOX5eo8enbQoLhMIK9EwZkCBWcLBU7nCwghYApXu9w2JfhQhBoIqwFUVYtE1VrHBi0QbpDQziwjMhwwhslqC2LVDIoRBonLcrQwkiQhsup9kZqgThJWVKaOd84uUicJiw+TEBOhtixFGNQANlxfd3d5WZaqZvAGvJe40LjWy7ZUrR1dWfVF3moTKKtUJxcpLlcn46m0q127w6reQ5oaN3ydAbyA+lyBuNNM1NJEGCR0S9KgSzsZuVXzEpzIVVBR6Xt/rQZoZ5bVm7nhUtXfrxoYh+sa9mU0wiChXxd1FtmfTzlwLFuBTiuQGBW8rtmVdoHsIvVCmRynBskdYlpHV3EiquZcASQ02nWDj8FyK1FpV2fPK61QuxcbtKget4DqVlOHQ+0GJknOO95q65Veh6oxA4G/6DmU6hkArTZ1DEW4Xm01TmsvIdqkzsgc2Yxr2To/OBrCHCHBHKFB10QNyivV8SM5RQqy8hXkFLm35Gk06o0KnQawlCqwSgqUqq4wDkWtH4dSI9yR1MkatFoJeo2E1HgJcVU3DSLD1C9fbAlsvWreeOmaqLnwAY0kSdXj9WtTaa/udVFUJpBdqD62K8L1fpScwxugto4LIRAVIbWZpcWobZNlCYlREhKj1En97A7f+xl0/r+GxptlDO0loVO8OovsiVyBhChfy9QEjq0qSFaUGkFyLIf1EBEBDJZbNKtN/XJrsapBWIxRQloHGYnRMkxhkhogVwXJ6v9qa2VZVTfNojIF5y1Vs+5Z1dZoxdknGQKyrA6612nU8Y66qm6bWk39JylShLMlS52AwGpXg3mjXv3i0T5GvQsfbWxZ438bKlwvITlOQnKcjL6p6vT/lgr1fFfaAYtVQVml2kXWVqZ2IddrJfWGhQbQap0tw+r4UoNOHW+qr/qfX0ooUPRaCXGREuIiq9PKK9VxTU5ucwBYBE4XqF/aT+YJaDUCMUa1RZwo1Om16gy0zUmWJXRup0G7KBk/ZTlw+IwDhRaBpOjA3lC22dVhR3YH0CFWDZKT4xgkExHVxGC5hakZIOs1QIxJQu9kGe2i1BmO675w1r5gelmlOgmAtaqLptUOlFkVlFZUzbJnB0orRdWkAUDNdmtR1b1bUzXbnnO8loD6Jds59rJjrIykaBnRRnXMcV2tXa2ZTqO2QiCqZmp162FBgR6xsfpmLxdRfdXV9TvCoP4t90kROFeodks9V6j2pgjTo1n/tkVV//DWepONqCEiDBIGddeiY6yMgyccOJmnINbkvfRMUzmDZJsd6BAjI62jjOQ4ucUN4SIiagkYLAeRoqizG9sdQGlFdYAca5LQJ6U6QG7qXV7nDHveqgO8mmMdnWMfnRMLVdoEyqtm+lQUIDIcMIXJCNerX7rD9Oqs1Zxoiih0RBgkdE1Ux3MWlqlLx5zIVdeazi5UA+doY/2XKFOEUIeJKOpESXalety+w4HqRRh9/C+E2mVcr6seWhKmZ48MCk0dYmXEmyUcOu3AT1kOnMjxzwRgnkFyz6ogmXMUEBHVjsFyMysuB8or1f6PsuxcRxUwh/s3QG4oZ9ez5hwnRUQtnyRJiDFKiDECPdvLKLSo4xtP5CjIK1UDZwlqDxQIQIKAkCRIVUNEnEGv5JqAUJ2QT69V5y6IqJogyaCTIEvOYSBqIKyR1TzKrAKlFepM90Vl6hCIgtKqmeJRFUDr1Jt3Bi3HWVPrp9dK6JuqRfsYtWt2Zo4CrUYgMbrh3w+sNoG8EgG7HWhfoyWZQTIR0YUxWG5GPZI0uDhCC71W7cqr08L1e4SBrSRE1LJJUo0Z49urLc6WCrWV2KHA1XLsnPxOr3V+zlXPj6DXqrO667WN617tXJPdUiFgqQqi80vUmceLy9Q1qyEJmMLUSfoYEFBrFm+WcfVFElITFPx0Sp1LINqoziNwob+f0gqBghJ1neT2MTK6t2eQTETUUAyWm1HHOBmxsYGbGZeIqLnIsoRYk4TYWpZrCxSNrK557tkLxu5Qh7IUl6nLdZ3KV3D2vIBQhDrRHmeXp1bKOQFY+xgZv51z4OcsBcdzBKKNag81tSeG2ntDloDySnWivgg90C1JRrdEdZ1k9rggImo4BstERNTqaTUSoiLUCchS4mVcklq93NvJPAWABDaoUWtm0EnonaJFx1iBX8/Ycaagah4AoS5TqAh1+Se9VkL/zhqkJsiINV24BZqIiGrHYJmIiEKOXiuhfYyE9jEy+nRSu26H1XMyMqKWLNooYXAPHewOAUVAHQKhqBNwOoSAXivBGKKrURARNTcGy0REFNKcXbeJQonvpZ4YJBMR+ZMc7AIQERERERERtTQMlomIiIiIiIg8MFgmIiIiIiIi8sBgmYiIiIiIiMgDg2UiIiIiIiIiDwyWiYiIiIiIiDwwWG4mVqsVr776KqxWa7CLQgHEeg59rOPQxzoObazf0Mc6bhtYz6GvJdSxJIQQQXv2NqS4uBhRUVEoKiqC2WwOdnEoQFjPoY91HPpYx6GN9Rv6WMdtA+s59LWEOmbLMhEREREREZEHBstEREREREREHhgsExEREREREXlgsNxMDAYDnnvuORgMhmAXhQKI9Rz6WMehj3Uc2li/oY913DawnkNfS6hjTvBFRERERERE5IEty0REREREREQeGCwTEREREREReWCw3AzWrl2LYcOGISYmBkajEZdeeikWLVoEm80W7KLRBdhsNuzYsQNPPfUUBg0ahOjoaOh0OiQlJWHUqFHYtGlTncdv374dI0eORHx8PMLDw9GrVy8888wzKC0tbaZXQI319NNPQ5IkSJKEF154odb9WMetS2VlJV599VUMHToUsbGxCAsLQ3JyMm688UasXr3a5zGs49DAa3Hrxutx28RrcehqNddjQQE1bdo0AUBotVpx/fXXizFjxojo6GgBQAwdOlSUlZUFu4hUh23btgkAAoBISkoSN910kxg/frzo06ePK/3+++8XiqJ4Hfvyyy8LAEKSJHHNNdeIcePGiaSkJAFApKWlidzc3CC8IqqPXbt2CVmWhSRJAoCYP3++z/1Yx61LVlaWuPjiiwUAER8fL26++Wbxxz/+UVx11VUiIiJCjB071usY1nFo4LW49eP1uO3htTh0tabrMYPlAEpPTxcAhMlkEvv373el5+bmir59+woAYsaMGUEsIV3Ijh07xNixY8V///tfr22rVq0SGo1GABDvvPOO27YDBw4ISZKERqMRmzdvdqVbLBYxYsQIAcDnBwEFn8ViET169BAdO3YUo0ePrvUCzTpuXcrKykSvXr0EAPH888+LyspKt+0Wi0VkZGS4pbGOQwOvxaGB1+O2hdfi0NXarscMlgNo0KBBAoB44YUXvLZ9/fXXAoAwGAyisLAwCKUjf7j33nsFADFixAi39HHjxgkA4r777vM65vjx40KWZQFA/PLLL81VVKqnxx57TAAQmzZtEpMnT671As06bl3mzJnjanmqL9ZxaOC1uG3g9Ti08Foculrb9ZhjlgPk9OnT2Lt3LwBgwoQJXtuHDh2KlJQUWK1WbN68ubmLR37Sv39/AEBWVpYrrbKy0jV2ylfdp6amYsiQIQCA9PT0Zigl1deXX36JJUuWYNKkSRg5cmSt+7GOWxebzYbXX38dAPDUU0/V6xjWcWjgtbjt4PU4dPBaHLpa4/WYwXKAZGRkAABiY2PRpUsXn/sMHDjQbV9qfY4cOQIAaN++vSvt8OHDKCsrA1Bdx55Y9y1PaWkp7rnnHiQmJuKVV16pc1/Wcety4MAB5OXloUOHDujevTsOHjyIuXPn4oEHHsCsWbOwadMmKIridgzrODTwWtx28HocGngtDm2t8Xqs9XuOBADIzMwEAHTq1KnWfVJSUtz2pdbl3LlzWLlyJQBg7NixrnRnfUZHRyMyMtLnsaz7lufJJ59EZmYm0tPTERMTU+e+rOPW5YcffgAAJCcnY9asWVi0aBGEEK7tf/vb39C/f39s2LDB9ZnNOg4NvBa3Dbwehw5ei0Nba7wes2U5QEpKSgAARqOx1n1MJhMAoLi4uFnKRP5jt9sxceJEFBUVoW/fvnjggQdc21j3rc/WrVuxfPly3HHHHRg9evQF92cdty75+fkA1DvOf/vb3zB16lQcOnQIRUVF2LZtG3r27ImMjAzcdNNNrmWEWMehgfUY+ng9Dh28Foe+1ng9ZrBM1AgPPvggduzYgbi4OHz88cfQ6/XBLhI1UlFREe69914kJCRgyZIlwS4OBYDzrrXNZsOdd96JpUuXomfPnjCbzbjuuuuwbds2hIWF4ccff8SqVauCXFoiaghej0MDr8VtQ2u8HjNYDhBnNwGLxVLrPs4FtM1mc7OUifxj2rRpWLFiBWJiYlx3wWpi3bcu06dPx6lTp7B06VLEx8fX6xjWcetSs9tWzVYnp06dOuGmm24CAGzfvt3tGNZx68Z6DG28HocOXovbhtZ4PeaY5QDp3LkzAPdZGT05tzn3pZZvxowZePXVVxEdHY2tW7e6Zt+syVmfhYWFKCkp8Tm+gnXfcqSnp0Or1WLZsmVYtmyZ27Zff/0VALBixQps374dSUlJWLVqFeu4lenatavP333tc/bsWQD8Ow4VvBaHLl6PQwuvxW1Da7weM1gOEOeHdn5+PjIzM33Owrlv3z4AwIABA5q1bNQ4Tz/9NF5++WVERUVh69attc7Il5aWhoiICJSVlWHfvn343e9+57UP675lsdvt+Oqrr2rdfvz4cRw/fhypqakAWMetzYABAyBJEoQQyMvLc00EUlNeXh6A6nFPrOPQwGtxaOL1ODTxWhz6WuP1mN2wAyQ5ORmDBg0CAHz44Yde23fu3ImsrCwYDIY615CjlmHWrFn4+9//jqioKGzbts1Vt77o9XpXFxJfdX/ixAns3r0bAHDbbbcFpsBUb4WFhRBC+PyZPHkyAGD+/PkQQuD48eMAWMetTVJSEoYOHQqgultXTTabzfUF7fLLLwfAOg4VvBaHHl6PQxOvxW1Dq7weCwqY9PR0AUCYTCaxf/9+V3peXp7o27evACBmzJgRxBJSfTzzzDMCgIiOjhbfffddvY7Zv3+/kCRJaDQasWXLFle6xWIRI0aMEADE2LFjA1Vk8pPJkycLAGL+/Ple21jHrcv27dsFABETEyO++eYbV7rNZhOPPvqoACAiIyPFuXPnXNtYx6GB1+LQwetx28RrcWhpbddjBssB9thjjwkAQqfTiRtuuEGMHTtWREdHCwBiyJAhoqysLNhFpDp88sknAoAAIAYOHCgmT57s88fXF62XX35ZABCSJIlhw4aJ8ePHi/bt2wsAIi0tTeTm5gbhFVFD1HWBFoJ13NrMnz9fABBarVZcddVVYsyYMaJz584CgAgPDxf//ve/vY5hHYcGXotbP16P2y5ei0NPa7oeM1huBqtXrxbXXHONMJvNIjw8XPTp00csXLhQWK3WYBeNLuDtt992XZzr+klNTfV5/LZt28QNN9wgYmNjhcFgED169BCzZ88WxcXFzftCqFEudIEWgnXc2nz22WfixhtvFLGxsUKn04mUlBQxZcoU8csvv9R6DOs4NPBa3Lrxetx28VocmlrL9VgSomrBKyIiIiIiIiICwAm+iIiIiIiIiLwwWCYiIiIiIiLywGCZiIiIiIiIyAODZSIiIiIiIiIPDJaJiIiIiIiIPDBYJiIiIiIiIvLAYJmIiIiIiIjIA4NlIiIiIiIiIg8MlomIiIiIiIg8MFgmIiIiIiIi8sBgmYiIiIiIiMgDg2UiIiIiIiIiDwyWiYiIiIiIiDwwWCYiIiIiIiLywGCZiIiIiIiIyAODZSIiIiIiIiIPDJaJiIiIiIiIPDBYJiIiIiIiIvLAYJmIiIiIiIjIA4NlIiIiIiIiIg8MlomIiIiIiIg8MFgmIiIiIiIi8sBgmYiIiIiIiMgDg2UiIiIiIiIiDwyWiYiIiIiIiDwwWCYiIiIiIiLywGCZiIiIiIiIyAOD5Tbi+eefhyRJtf4YDAbExsbikksuwZ133on3338flZWVwS52i/Hll196nbOVK1c2Kq/y8nJs2bIFzz77LEaOHImePXvCbDZDq9XCbDYjLS0NEydOxMaNGyGE8O8LAXDixAnIsuzzffDdd9/57XlWrlzplf+XX37pl7ztdjvS09Px6KOPYuDAgejYsSPCw8NhMBgQFxeHSy65BLfffjv+/ve/Y//+/X55TqqdEAKffPIJ7r77bqSlpSE6OhphYWFITk7GZZddhvvuuw/vv/8+ioqKgl1UIiIionrTBrsA1DJUVlaisrIS58+fx8GDB7Fq1So899xz+OSTT9CnT59gFy+kJCcno6CgwOe2kpISlJSU4PDhw/jggw8wdOhQrFq1Ch07dvTb83/wwQe1BuHvv/8+Lr/8cr89VyCsWLEC8+bNw8mTJ31uLygoQEFBAQ4ePIh169YBALp3746ff/4ZOp2uOYvaJvzwww+45557fN6UOH36NE6fPo0DBw5gxYoVSE9Px+jRo5u/kERERESNwJZlqtWxY8dw8803o6ysLNhFCSlWq7Xe++7cuRMjRozwax188MEHtW5bvXo17Ha7357Ln8rLyzFu3Djcd999tQbKtfntt9/gcDgCVLK2a+fOnbjmmmvYek9EREQhiS3LbdjYsWNx++23AwDKysqwbds2rFq1ym2fEydOID09HX/605+CUcSQJssyhg0bhuHDh6Njx444deoUPvjgA/z6669u+x06dAj/+Mc/8MwzzzT5OQ8cOICff/651u05OTnYunUrRo4c2eTn8idFUfCnP/0J6enpXtsSEhJwyy23oH///oiKikJJSQlOnjyJ7777Djt37oTNZgtCiUNfTk4Oxo4d69W1un///hg9ejRSU1PhcDhw9OhR7Ny5E7t37w5SSYmIiIgah8FyG9anTx/ccccdrsf33HMPHA4H1q5d67bf/v37GSz7kVarxf3334+ZM2eia9eubtuefvpp3Hzzzdi2bZtb+scff+yXYPn999/3SpNlGYqiuO3T0oLlJUuW+AyUp02bhv/7v/+D0Wj0eVxBQQE++ugj/P3vfw90EducmTNnIicnxy3tpZdewowZM3zun52d7fY+IyIiImrp2A2b3Fx77bVeaRUVFV5ptU3eVF5ejgULFuCyyy5DVFQUJEnCK6+8AkCdlGnDhg2YM2cORo4cid69e6NDhw4ICwtDWFgYEhMTcfXVV2PWrFk4dOhQrWWsbbItIQTee+89jBgxAnFxcQgLC0P37t3xxBNPIC8vr87XXVlZiZdffhmXXXYZTCYToqOjceWVV2L58uV+/4K/e/duLF++3CtQBgC9Xo+FCxd6pf/2229Nfl6Hw+HVc+Ciiy7C9ddf75b2ySefoKSk5IL5lZSU4LnnnkPv3r0RERGB+Ph4DB8+HKtXr25yWWsqLS3F//3f/3mlT58+Ha+88kqtgTIAxMbG4uGHH8aRI0dgMBi8tnu+j6ZMmQIA2Lx5M0aNGoWkpCRoNBr069fP61iLxYLXX38do0aNQkpKCiIiIhAeHo7k5GTcfPPNWLp0KUpLS2st27Bhw9yeu3Pnzo3eb8qUKV6vBQByc3Px9NNPo1evXoiIiEBsbCyuu+4611juxsrJycGHH37oljZx4sRaA2UASExMRPv27Zv0vERERETNiS3L5Ob06dNead26davXsWfOnEH//v1rDXQLCwtx22231Xp8Tk4OcnJysHPnTrz00kt4/vnn8eyzz9bruYuLi/H73/8eO3bscEs/evQo/vGPf+DTTz/Frl27kJiY6HVsXl4err/+emRkZLilf/vtt/j222/xwQcf4Mknn6xXOerj4osvrnN7r169vNK02qb/qe7YsQNnz551S7v99tvRqVMn/Oc//3GllZWVYf369Zg8eXKteR09ehTXXXcdjh8/7korLy/HF198gS+++AIff/yxVxDeWFu2bEFubq5bWnx8PF588cV659GQib0ee+wxLFmy5IJlmjx5sle5gOpJrTZt2oS5c+fi7bffxs0331zv5/eXPXv24Oabb3a7UVReXo4dO3Zgx44dmDx5Mt566y3IcsPvmX766ades+U/9thjUBQFP/74IzIzM6HRaJCSkoK+ffs26jmIiIiIgo3BMgFQA6TPP/8cr732mlt6eHh4vbtgP/jgg/VqkawPh8OBOXPmoHPnzpg4ceIF9585c6bPFnCno0ePYsaMGV7dkBVFwejRo70C5Zq+/vprHDlypP6Fb6LMzEyvtLS0tCbn66sL9tixY9GxY0c8+OCDbhNgvf/++7UGyxaLBTfccINboOzp448/xs6dO5tcZgDYunWrV9r48eMRHh7ul/xrWr9+/QXfw5988gnGjBlTrx4HeXl5GDVqFNatW1fnjaJA+MMf/lDnUk3vvPMOOnTo0KCbDk7ffPON22O9Xo/9+/fj9ttv95p8LSEhAdOnT8fTTz/tl5s+RERERM2F31zasLlz52Lu3Lm1bo+KisL777+PpKSkeuVXUlICWZZx5513YtiwYbDb7Thw4ABiY2Nd+4SFhWHw4MEYNGgQEhISEBsbC51Oh/Pnz2Pv3r1eszE///zz9QqWKyoqEB4ejocffhh9+vTB119/jRUrVrjts3btWixbtgxms9mVtnLlSuzatcttP51Ohz//+c+4/PLLce7cObz22mvIysqq1znwB2e39ZruuuuuJuVZVlbmNea3e/fuuPTSSwEA11xzDb744gvXts8//xxnz5712W32b3/7m1e3cKPRiEceeQQXX3wxjh07hiVLluDcuXNNKrOTrxsVvpa3qqiowIYNG2rNp127dhg+fHidz+UMlPv3748JEyYgPj4emZmZrhsY+fn5mDRpkleg/Pvf/x5jx46FJElYt26dW4AvhMCUKVNwzTXXIC4urs7n96eioiJcfvnlmDRpEsLCwvDJJ59g48aNbvssWrQI99xzD7p3796gvA8fPuz2uLKyEg899JDPfXNzc/HMM89g69at2LJlS0BuchAREREFhKA24bnnnhMAGvTz6KOPivPnz/vM7+233/Z5THp6eq1lcDgcoqKios5yvvDCC155Hj582G2fL774wudzf/bZZ2773X///V77fPnll277DBo0yGuff/3rX277nDlzRkRGRnrt9/bbb9f5Whpj1apVQpIkt+fp3r27sFgsTcr3gw8+8Cr/zJkzXduXLl3qtf2ll17yykdRFJGYmOi17/bt2932+/7774Usy177ffHFFw0u+8UXX+yVz5YtW7z2O3v2bJ3v52uvvdbrGF/73X777cJut/ssy7x587z2Hz9+vNd+48aN89pv3rx5bvtce+21bttTU1N9Pmd99ps8ebLX811xxRWisrLSbb+JEyd67ff000/7fN669OnTp8GfJwDEfffd1+DnIiIiIgoWDiSjWi1ZsgT9+vWrs7ttTbfeeitGjx5d63ZZlqHT6bBu3TrcdddduOSSSxATEwOdTuealMjXGOW6Jvtyuuaaa7zGyPpqRczOznb9Xlxc7LU+bHJysmuSJ6f27dvj3nvvvWAZmmrNmjW46667IIRwpZnNZqSnpyMiIqJJefvqgu1cNgwAbrvtNtekUE7vvfee1zE///yz2zkEgMGDB2PEiBFuaZdccglGjRrVlCK71DwfTp5l9RedTofXXnsNGo3G5/aaY7udnnvuuXql+To2kGbNmuU1VtvX31fNHgX1VduQh4ceeggnT55Efn4+Xn/9dej1erftb731ls9hBkREREQtEYPlNmzs2LH46KOP8NFHH+G9997DCy+84DWZ14kTJzBhwoR65XfTTTfVuf3cuXO44oorcPvtt+P999/HwYMHUVhY6Nbt2pfCwsILPrevWbxjYmK80srLy12/Z2ZmenWnvfTSS30GSgMGDLhgGZrijTfewJ133um2JrDRaMSmTZvQp0+fJuWdk5PjtRRVamoqBg4c6HrcoUMHXHnllW77fP/99/jpp5/c0nzNyn3ZZZf5fF5/nbP4+HivNM8li/xl0KBBaNeuXa3bPW/cGI1GnxO2OWcIr8mz63Kg1axfp7S0NK/Zwxsz03rNoQxOF110EV577TWkpKQgNjYWDz74IO6++263fRRFwZYtWxr8fERERETBwGC5DXOus3zHHXdg4sSJeOaZZ5CRkeG1NM0333yDPXv2XDC/1NTUOrdPnDgR+/bta3A5LxRMA2qLsCdfMyDXbKX0NZFTQkKCz/zrCqCaav78+XjooYfcAvfo6Ghs3boVQ4cObXL+q1at8jqHY8eO9drPV5pn63IwzlnPnj290vbu3euVlpSUBCGE66cxLvQe9pwwq7bXDni//rom2wJQ64RhnrNO11dtZfNMb8ykfL7yvvbaa71a/IcNG+a1H1uWiYiIqLVgsExuIiMjfbYQf//99xc81rPLZU1HjhzxWtZJlmXcddddWLZsmauF+8EHH2x4oWt57gt11Y2MjPRK87UUEBCYlkwhBKZNm4a//vWvbukdOnTAf//7X1x11VV+eR5fXbBffvllr3V5fa2R++GHH7oFnsE4Z7///e+90tasWdPoILIudb2HAXXSu5pqe+2A9+v3PNbz/VmzV0FNjZ1crrayeab7qtMLcU4MV1N0dHS90vy9bjkRERFRoDBYJi++vswWFBQ0Kc+DBw96pc2YMQPvvvsuHnroIVcLt68ut4HSpUsXr/Vfv//+e7cllJw8xzY3ld1ux6RJk/Dqq6+6pffs2RO7d+9G3759/fI8hw8f9tkKW19ZWVn46quvXI99rbld27nx1zkbOXKk1yzS2dnZeP755/2Sf0N4tnJbLBb88ssvXvv98ssvKCsrc0vr0aOH2+OwsDC3x+fPn/dqET927BjOnDnTqLL66sXx66+/wmKxuKXVdx31mq6++mqvtFOnTtUrrWPHjg1+PiIiIqJgYLBMbkpKSrBp0yav9PouH1UbX61mnmMnT506heXLlzfpeRrCbDZ7jas9deoUVq5c6ZZ29uxZvP3223573vLyctx6661eLb6XX345du3adcGuwA3hq1W5oWp2xe7du7dX9+Jvv/3Wq9fADz/84LVMUWNFRkZi1qxZXukLFizAc889F5AW5trceOONXmnz58/3Sps3b94Fj/X8m7Jarfjvf//rlvbcc881uiV24cKFXt3v/+///s9rP19dpS/khhtuQGJiolvap59+6nZTTQiBd9991+vYCy3fRURERNRScJ3lNuzHH3/EqlWrAKgtnSdOnMDbb7+NkydPuu0ny7LXbMcN1atXL6+0hQsXoqysDBdddBGOHj2KZcuWNbkFu6EeeOABrxa4hx56CAcOHMAVV1yBs2fP4rXXXkNxcbHfnvP3v/+919rOcXFxuP/++7F9+/Zaj7vlllu8bjBcyAcffOD2WJZlvPXWWzAYDLUec//997uNY123bh1ee+01hIWFQZIk/PnPf/YKum699VY88sgj6N27N44ePYolS5b4tbvt448/ji+++AKbN292S583bx7efvtt3Hbbbbj44osRERGBgoICfPvtt3577pqmTp2Kv//9727n56OPPkJBQQHGjBnjWmf5s88+czsuMjLSax3iK664wuvGzJgxY/DMM88gKioK69ata9JkWHv27MHQoUMxadIkGAwGn+ssy7KMP//5zw3OW6vV4tlnn8Wjjz7qSisuLsYVV1yBBx54AEajEevWrcPXX3/tdtywYcPQr1+/Rr0eIiIiomYXrDWrqHk1Zp1l58+DDz7olZ+vdZYvtIbuZZdddsHn6tu37wXXM/a1zrKvNY/rs5/dbheDBw++YLnMZnO9nrM+GlsPmZmZDXqeXbt2eeUxbNiwCx73pz/9yeu4NWvWuLaXlJSIrl27NuqcNWadZafi4mJx4403Nvr81Wed5cmTJ1+wHOvWrfNaC7uuH0mSxNq1a73yycvL87l+t+ePwWBwe1zfdZaTkpIumHdj1lh2cjgc4oYbbqj3eYiPjxdHjhxp9PMRERERNTd2w6Y63XPPPV7jahvrgw8+8Oq6WdO9996LJ554wi/PVV8ajQaffPKJzwmLnC655BK8+eabzVgq//DVBXv8+PEXPM7XPjXzMplM+M9//oNOnTrVmsfw4cPx4osv1rOk9RMZGYlNmzbh5ZdfrnMWal/69evXqBZUX8aMGYNPPvnEaxy1L7GxsVi/fr3bmtZOcXFxeOONN7zGzTtptVr8v//3/zB48OBGlXPr1q3o0KFDrdsnTpzYpDqSZRkbNmzAn/70pwvue9FFF+HLL79E9+7dG/18RERERM2NwTK5GAwGtGvXDldddRVmzJiBAwcOYMWKFT6XYGqMtLQ0ZGRk4JFHHkHnzp2h0+kQHx+P4cOHY/Xq1fjXv/7ll+dpqHbt2mHPnj34+9//jn79+iEiIgKRkZG47LLL8NJLL2Hv3r0BXToqEGw2G9asWeOWptFofC4P5ekPf/iD18zNW7ZsQX5+vutxjx49cPDgQTz77LO46KKLEBYWhujoaAwdOhRvvvkmtm3b1uAu4/UhSRIef/xxnDhxAu+99x7uvvtu9O7dGwkJCdBqtQgPD0e7du1w2WWXYcKECViyZAl+/fVXZGRk1Cuoq69bbrkFx48fx9KlS3HTTTehY8eOCAsLQ1hYGDp06IAbb7wRixcvxvHjxzF69Oha85kwYQK++uor3HLLLYiLi4NOp0NycjImT56MAwcONOnmUd++fXHw4EHMmjULvXr1Qnh4OKKjozF8+HCsWbMG7733ns81xRvCYDDg/fffx9dff4377rsPPXr0gMlkgsFgQMeOHXHrrbfi3Xffxffff4/evXs36bmIiIiImpskRCMXJCUiohZhypQpeOedd9zS+NFORERE1DRsWSYiIiIiIiLywGCZiIiIiIiIyAODZSIiIiIiIiIPDJaJiIiIiIiIPDBYJiIiIiIiIvLA2bCJiIiIiIiIPLBlmYiIiIiIiMgDg2UiIiIiIiIiDwyWiYiIiIiIiDwwWCYiIiIiIiLywGCZiIiIiIiIyAODZSIiIiIiIiIPDJaJiIiIiIiIPDBYJiIiIiIiIvLAYJmIiIiIiIjIA4NlIiIiIiIiIg8MlomIiIiIiIg8MFgmIiIiIiIi8sBgmYiIiIiIiMgDg2UiIiIiIiIiDwyWiYiIiIiIiDwwWCYiIiIiIiLywGCZiIiIiIiIyAODZSIiIiIiIiIPDJaJiIiIiIiIPDBYJiIiIiIiIvLAYJmIiChEHDp0CEuWLMGUKVPQt29faLVaSJKEF154oUn5bt++HSNHjkR8fDzCw8PRq1cvPPPMMygtLa3zuN9++w1TpkxBcnIyDAYDkpOTMWXKFBw7dqxJ5SEiImoOkhBCBLsQRERE1HTTp0/H4sWLvdLnz5+PZ599tlF5/uMf/8ATTzwBSZJw9dVXIzExEV9//TXOnTuHRwo0hwAAVwNJREFUtLQ07Ny5E/Hx8V7H7dq1C9dffz3KysrQu3dv9OnTBz/++CN++uknGI1GbN++HYMHD25UmYiIiJoDW5aJiIhCRJ8+ffDkk0/igw8+wC+//IK77rqrSfllZGRgxowZ0Gg02LRpE7766iusWbMGR48exYgRI3Do0CE8+OCDXseVlZVh/PjxKCsrw+zZs/Hjjz9i1apV+PHHHzF79mxYLBaMHz8e5eXlTSofERFRIGmDXQAiIiLyj/vuu8/tsSw37Z74ggULIITA3XffjRtvvNGVHhERgRUrVqBr165Yt24dfv31V/Tq1cu1feXKlThz5gx69uzp1QX8hRdewLp163D48GG8++67eOCBB5pURiIiokBhyzIRERF5qaysxKZNmwAAEyZM8NqempqKIUOGAADS09Pdtjkf33HHHV4BuyzL+OMf/wgAWL9+vd/LTURE5C8MlomIiMjL4cOHUVZWBgAYOHCgz32c6RkZGW7pzscNPY6IiKglYbBMREREXjIzMwEA0dHRiIyM9LlPSkqK274AUFJSgvz8fABAp06d6jwuNzcXFovFb2UmIiLyJ45ZJiIiIi8lJSUAAKPRWOs+JpMJAFBcXOx1XF3HOo9zHutrP6vVCqvV6pZmMBhgMBjqUXoiIqKmY7DcjIqKihAVFRXsYlCAsZ5DH+s49LGOg2/BggWYO3euW9r06dMxZ86cIJWo9SouLobZbA52MVoVnrPG4XlrOJ6zhouNjW2252Kw3IwcDkewi0DNgPUc+ljHoY91DFfX67q6SZeWlgKA2xe9ml22azvWeZznsTXNnj0bTzzxhFuaxWJp1i9JoYTnreF4zhqH563heM5aLo5ZJiIiIi+dO3cGABQWFrp1ra4pKyvLbV9ADZadX/xOnjxZ53Hx8fG1dtU2GAwwm81uP+yCTUREzYnBMhEREXlJS0tDREQEAGDfvn0+93GmDxgwwC3d+bihxxEREbUkDJaJiIjIi16vx0033QQA+PDDD722nzhxArt37wYA3HbbbW7bnI9XrVoFRVHctimKgtWrVwMAxowZ4/dyExER+QuDZSIiojZs6dKl6NWrFyZNmuS1bdasWZAkCW+//Tb+85//uNLLyspw7733wuFwYOzYsejVq5fbcVOmTEGHDh1w+PBhrwm55syZg8OHDyM5OdnncxIREbUUnOCLiIgoRBw4cABTp051PT569CgAYPny5fj3v//tSk9PT0f79u0BAHl5eTh06BCSkpK88hswYAD+3//7f3jiiScwcuRIXHvttWjXrh2+/vprnD17FmlpaXjjjTe8jouIiMCaNWtw/fXX48UXX8Snn36KPn364Mcff8SPP/4Io9GItWvXIjw83N+ngIiIyG8YLBMREYWI4uJi7Nmzxyv91KlTOHXqlOux5/rFdXn88cfRt29f/L//9//w3XffwWKxoFOnTpg9ezZmz57tNvt1TUOGDMH333+P+fPnY/v27Vi3bh0SEhIwadIk/PWvf0W3bt0a/gKJiIiakSSEEMEuRFtx7GQe4uPjYI6Qgl0UCqCCggIuARDiWMehj3XcMrFeGofnreF4zhqH563heM5aNrYsN6ODWQ5UnrKhR3sZ3ZI0iAxvWtBsdwhU2IAyq0CZVf1drwVS4mXoNAzIiYiIiIiIGovBcjNyKEBRpYL9xwSOnFXQs4OMron1C5rtDoHicoFCi/qTVyxQahWotAlY7YCiAM4uAilxMi5O0aBDjARJYtBMRERERETUUAyWm5nRIKFdlIRCC7DvqAOHzyro2V5GXKTvicnLrAJ5JQpyigQsFWrrsSwDYTrAoJNgCpcQqwW0VS3JNrvA2fMKzhUq6JYk46KOGsSYOOk5ERERERFRQzBYDgJJkhBjAqKNwHmLwL6jDkiSo9b9NRrAaABiIiUYtKiztVinlZAcL6HMKnDotIKsfIFeHdRu36YwtjITERERERHVB4PlIJIkCbEmCbEm/+cdYZCQ2k5CYVUwfviMgnizhA6xMuJMEmJMEjRydfBstVV38c4pUuAQQJ8UDeLNbJUmIiIiIqK2h8FyiIs2SjBHAKXlwKkCBZnZCvQ6ICpCQsdYGREGCdlFCnKLBCxWAbsC6DTq+OrsIoFLOsno0V7j6uZNRERERETUFjBYbgNkSQ2YnUtWVdgESssF/ndc7fqt06pjqZNiJLdZtAtKFXxz2IFzhQL9OnPsMxERERERtR0MltugMJ2EMJ2EeHPd+8WaZJjCBDKzHcgrFri0swbdkmS37ttEREREREShiE2FVCe9VkJqOxkCAjt/tWPXr3aUlIsLH0hERERERNSKsWWZLkiSJMSbJZjC1fWhi8ps6N9Fi+Q43mshIiIiIqLQxGiH6i1MVzXDdpnAf3+24ceTdtgdbGUmIiIiIqLQw2CZGkSW1Fm0w/QSvvvNgd2H2C2biIiIiIhCD7thU6NEGyWE64EjZxUUWmwY0DU0u2UrioAiAI2sdkcnouArLhPILlJgCpMQFSEhwsC/TSIiIvI/BsvUaAadhNR2wLnzAl/+ZMNFyRpcnKxBuL51f3FVFIGCUoGcYoETuQrKKwVkSQ2Y9VoJWg2gldXHigAcAhBVP4oCVJbZ0DXFAXOE+kXeaGCgTeQvp/IVHDhmR3aRUJe900uIMUloHyMjKkL93cjgmYiIiPyAwTI1iSxJ6BAroaRc4H+ZDpw7r+DSzlp0jJWCFiA6FIHicoFKuxq8OpSqoFYRUBRAlgGdRoJeq64x7fy9uKw6QC4oUVBhAyIM6k0Bu6LmZ7GqLc2KUv18klT1U/X4/HkF2eV2yBIQpgMiwyUkRElIMMvoGCtDr+UXeaKGcigCv5xy4IcTDjgE0CVRghCApQLILlJwMk+BJAGRYRJ6dZTRLan137gjIiKi4GKwTH4RGS4hwgCcKxT44kcb0jrK6JOibZbukQ5FoLhM4LxFIK9EQXahQEm5gM2hBsnCY0i1BEBAbRnWyoBWI0EjA1abcAXIMSYJYW5ftOv/OsIlGeYoGYoiUF4JlFoFcrMEFKGgXZSEnu016BQve+RPRLWxWAX+l2nHr2cUxBglRBur/nYkwBwBmCPUx4oiUFgm8O0RB45lK+idokFqggythn9rRERE1HAMlslvNLKEjrESSisEDp5QkF1oQ99OGiRGy01u4VEUAasdqKhUA9CKqsC2pFxBTpHakmy1AbKkBrtRRrW1WJLU1m9fHIqA3QH1RwFiDJ4BctPIsgRjGGAMU/O0OwTySwS+/sWO2EgJPdvLSE3QwBTGL/JEtckuUrD/qANnzytoH1P336gsS4g1SYiKEMgrFvjvL3YkZ8u4OEWDDjHB6+1CRERErRODZfI7U5iECD2QXSTw5U92GMMkxEdKSIqWEV3VKlSf4NlWFVxmFyrIylNQXglU2tXu0AJqW68kAxF6dcKxMF3DxgZrZLVF2aBr/GttCK1GQmK05BoT/c1hB345paB7kozO7TTVrWVErZytakk53QVadB1Vfwu5xQL5JQrsVb1BnP8ritpLpMIGdEqQoJHr9zeikdW/NZtd4Ox5BWcL1b+zK3po650HEREREYNlCghZltA+RoJDESitAE4XKDiWo0AjA0aD2voTa1RnsQ03qIFuuF6CTgMUlKoz3WblKThvEXAogDFMXefZFC5Bp629tbg1kGUJ8WYJsZEChRaB/cccOHRGQZdECV3aaRAfyRawtk5RBOQWHtRV2tVAtsyq9vQor1SHQ5RUAOWVarAca1LH6pvDJUSGS4gMV4dF5JcI5FSNMy6wCFTa1JtWak8Q93kADHoJ7aIbdy50WgnJ8RIKLQJZeQKXdgaMBv+dAyIiIgptDJYpoDSyhKgIIKpqTKEzeD5XqOBkXvV4Yq2sTral1UiwWAWEImAMk5AULUEXohNiyZJ60yDGKFBSDvx40oEjZxV0ipfRLVGDpGipxQdM5D9Wm9rCerrAgbPnBTonyOjevmV007fa1KEOJeVqQJxXot7oqbCpwyMkqMGtOmO8Omu8EOrM1cey1dnwwvVAuEGCDKDQImBT1MA1PlKCQRfY16jTADZ7QJ+CiIiIQhCDZWpWnsGzk92hdq+2OYD2MRJ0mtBbs7k2kiRVTVKkgaVC4Og5BZk56kRGzli5ZkOzJKnpEtSZvWVZ3a6V1aDAoJXUScs01cFLYpTMtWhboEq7QE6R2lU4K19BcZmAgBpY7jumTlLVq6OMromaZp0Qzu5Qg+HzFnUYRHaRgMWqjvGXJLUVOFwvIT5cqnN295iqifEUoc4pUF4pIATQLrru44iIiIhaAgbL1CJoNer6xW2dMUyCMUxChU2gtFx4bRdV/4oas3wL1FjnuWpZK0W4z98dZZTQPVFGpwSOjQ42h6JOPnXmvIITuQoKLWp9RkYAHeOqx+XGmwUKSgR2H3bgt3MKLq6a2flC44AbW6bicjVAdpatpFxtNdZp1HkIEqMa38tDliS1ZZkzwBMREVErwmCZqAUK00kI81PXVEVRWwj3HnXgl9MKOreT0LmdBu3MHBvdXIRQ6+BcocDxHAfySgQcDsAUDnSIlXwubSRL6tj2GJMawH71sx0dYmR0aScjPlLtwt/QbvpCqHMAOBSgtEKgqExdbu3ceYHSCoGKSnXSPFMYENcM3aOJiIiIWjIGy0QhTpYlxEVKiDWpY6N/ylLHRifHyejZnmOjAy27UMGPWQ5kF6ozukcYgHZR9e+G7JrZ2SGQV6zgTIECgw6IMUroFC8jIUpGrEnNy2IVKLcCZZUClgq1pdhqA+xVy6Q5FLUngqLANd5YU2O5tcTohs0oT0RERBTKGCwTtRE1x0aXVwocz1FnI06Nl9Gzgxo0M1DyH6tN4JdTDvxy2gGrDYg3S0iKafz51WnUGeYBNdAtLlN7C8iyA+ZwCYoCWO0CNntVN3xJ7UKt1bjPMi1L6nj2uDC2HBMRERHVhcEyURsUrpfQKUFCeaVAZlXQ3Lmd2tLcLopBc1OdPa/gh+MOZBUoiItUW4b9KUwnISxKzdPmECgtBzQaIMYgQa9r3UurEREREbUUDJaJ2rCaQfNv5xSczFWD5ouTNYgxtZ0Zyf3FahP4+ZQDP59ywOEAUhOqJ+wKFJ1GQowpoE9BRERE1CYxWCYihOslpCZIKLMKHDrjwJkCgd4p6jq/XOKnfrILFRzIdOB0gYL4SAnmCJ43IiIiotasRTQdrV27FsOGDUNMTAyMRiMuvfRSLFq0CDabrUH55OfnY+XKlXj00Udx1VVXISIiApIk4brrrgtQyYlCS4RBQmqCDEgC3x524Kuf7MguVIJdrBZNUQQOnXbgix9tyClSkJrAQJmIiIgoFAS9ZXn69OlYvHgxtFothg8fDpPJhM8//xwzZ87Exo0bsXXrVoSHh9crr6+//hp33313gEtMFNokSZ092xyurrebV6KgV0cNenXUcJ1cD2VWgf8dt+PQaQWREUC76BZx/5GIiIiI/CCo3+w2bNiAxYsXw2QyYc+ePfjss8+wbt06HDlyBH379sXOnTsxZ86ceueXmJiIBx54AMuXL8fevXvxxhtvBLD0RKFNp5WQEi8jXC9h/zEHdhy04edTDuQUKXAoItjFaxBFEThXqODoOQdO5SvIKVJQXCZgtQkIof6UVwrkl6iTnf162oE9R2z4+hcbDp1RX7PN4f6as4sUfPmTHT9nKWgXLSGWY7ypBfFXj63OnTtDkqQL/sybN8/tuC+//PKCx/AaTURELV1QW5ZffPFFAMCsWbMwYMAAV3p8fDyWLVuGq6++GkuXLsWcOXMQFRV1wfyuvPJKXHnlla7HP/74o/8LTdTGmCMkGMOAvGKBbw7ZodcC0UYJKXEy2kXJiDfXf83g5lZeKXC6QMGxbAXnziuwV/Uo18qATgtoNRIMWkAjA2VWoMIuUGkHJKhpkgQcPqNArwVM4RKSoiUkRsnIyXXgRJEdFTaB1HaBn8SLqCH82WPr9ttvR15ens9tBQUF2LhxIwDgd7/7nc99EhMTccMNN/jclpaWVq8yEBERBUvQguXTp09j7969AIAJEyZ4bR86dChSUlKQlZWFzZs3484772zuIhJRFY1cvfyR1SZQXC6QkemAVLXGb4JZQlykjMgwCZHhEkxhaiAKAEIIWG1AuU39v6JSQJbVIFWvAwxaCQYd/BJwKoqAIoBCi0BWvhokF1oEDDogIap6XWG7Q8DmAGx2dW1iIQCDTkJkhASdBl5LZ1XaBUorBA6dEfg5S0FpsR0dkgRS4tmaTC1LzR5bX331letGdF5eHoYPH+7qsfXSSy/VK7+69lu0aBE2btyInj174uqrr/a5T69evbBy5coGvw4iIqKWIGjBckZGBgAgNjYWXbp08bnPwIEDkZWVhYyMDAbLRC2EQSchQScBZnWN35JygeO5AofPKpAAhOmAML2EWJMEhwKUVghU2oDKqgBVKIAAIMuATla7e2s16ozcUeFAtElGhB4whkkwGiSE69XnLatUxwhbKgQsVqDQosBSATgE4FAE7A5ACDXv8kqBikogyqgu3yR7BOJajfM5AbUduW56rfp6Yk1q8F9kkBAdyUCZWh5/99iqy1tvvQUAuOeee5qUDxERUUsVtGA5MzMTANCpU6da90lJSXHbl4haFp1GDSKdFGcrcqXAqXwBSQL0WkCvk2AMl6DXwBW4OgNcmwOwO4CiMgW5xYD9jFKVtxqY1wyWrTYBux2AJKDVqK3AsqyGu5Kk/siShGijhPCYwHSNliQJssRu19TyNGePrV27duHQoUPQarWYPHlyo/MhIiJqyYIWLJeUlAAAjEZjrfuYTCYAQHFxcbOUyclqtcJqtbqlGQwGGAyGZi0HUWsjS2pwW59ZszWyBI0MGHTOFPdjbHaBiqrAG1DzjDZK0GkYqBL50pw9tpytyiNHjkRSUlKt+2VnZ2PevHk4ffo0wsLC0KtXL9x000113ignIiJqKYK+dFRLtGDBAsydO9ctbebMmXj66aeblG9J8XlUSgrCJXbfDGUlxeeDXYSQUtWwDMUKlFuB8qCWRsU6bl3KKgTKK4GCAh2shvrdbDl/3ncdx8bG+rNoftVcPbYsFgvWrFkDALj33nvr3PfXX3/Fc88955am1Wrx6KOPYtGiRdBq+TWEiIharqBdpSIjIwGoF93alJaWAgDMZnOzlMlp9uzZeOKJJ9zS/NGyHGm2wSpFwxzFYDnUmaNa7hdq8g/WceuhMQhorEBsrA7GegbLQMsOjH1prh5ba9asQWlpKZKSkjBy5Eif+0RFRWH69Om47bbb0LNnT5jNZhw9ehRvv/02li5din/84x8oLS3FP//5z1qfx1cvL8/HREREgRS0YLlz584AgKysrFr3cW5z7ttc2OWaiIjItxUrVgAAJk2aVGvLcP/+/dG/f3+3tL59++Lll1/G0KFDMXbsWLz55puYOnUq+vXr5zMPX728pk2bhr/+9a9NfxFtTG09Jah2PGeNw/PWcDxnDdecN7ODFiw7L6L5+fnIzMz0Ob5q3759AOA2oycRERF5a44eW4cPH8auXbsANH4W7DFjxqBfv3743//+h40bN9YaLPvq5WWxWFpdi39LwfPWcDxnjcPz1nA8Zy1X0PoDJycnY9CgQQCADz/80Gv7zp07kZWVBYPBUGs3LyIiIlI1R48t58ReQ4cORVpaWqPyAICLLroIAHDq1Kla9zEYDDCbzW4/7PVFRETNKaiDZ//yl78AABYuXIgDBw640vPz8zF16lQAwCOPPOK2FmR6ejp69eqFESNGNG9hiYiIWjDPHlu+NKXHlsPhwLvvvgvgwhN7XUh+fj6A6tZwIiKiliio01COHj0ajz32GF599VUMHjwYI0aMgNFoxI4dO1BYWIghQ4Zg/vz5bscUFRXh0KFDqKio8Jnn4MGDXb/n5uYCAPbu3euWPmfOHNx0000BeEVERETB4eyxtXfvXnz44Yd45pln3LY3tcfW5s2bcfbsWURGRmLcuHGNLufp06fx9ddfAwAuv/zyRudDREQUaEGflnnx4sVYvXo1rrzySuzevRubN29GcnIyFi5ciM8//xzh4eENym/Pnj2un2PHjgFQZ/2sme4MoomIiEJJIHtsObtg33HHHXXOuA2o1/a8vDyv9B9++AG33HILysvL0a1bN9x66631e2FERERBIAkhRLAL0Vas/zobVikaidFBv0dBAVRcVMBlhUIc67h1sVQIlFmBmwfWf+mogoKCVjvhyrRp0/Dqq69Cp9P57LG1bds2txvRK1euxN13343U1FQcP37cZ545OTlITk6GzWbDt99+iyuuuKLOMkRHR6O0tBT9+vVDly5dIMsyjh49ioyMDCiKgk6dOuE///mPa+xyfbXmegkmnreG4zlrHJ63huM5a9mC2g2biIiI/Gvx4sUYMmQIXnvtNezevRs2mw3dunXDrFmz8Pjjj0Ov1zc4z/feew82mw29e/e+YKAMAM888wx27dqFn376Cdu2bYPFYoHZbMZVV12FW2+9FQ888ADHKxMRUYvHluVmxJbltoGtjqGPddy6tLWW5VDGemkcnreG4zlrHJ63huM5a9kYtRERERERERF5YLBMRERERERE5IHBMhEREREREZEHBstEREREREREHhgsExEREREREXlgsExERERERETkgcEyERERERERkQcGy0REREREREQeGCwTEREREREReWCwTEREREREROSBwTIRERERERGRBwbLRERERERERB4YLBMRERERERF5YLBMRERERERE5IHBMhEREREREZEHBstEREREREREHhgsExEREREREXlgsExERERERETkgcEyERERERERkQcGy0REREREREQeGCwTEREREREReWCwTEREREREROSBwTIRERERERGRBwbLRERERERERB4YLBMRERERERF5YLBMRERERERE5IHBMhEREREREZEHBstEREREREREHhgsExEREREREXnQBrsAbcXabyrxzn/1cKASeq3ktk2IpuUtSRdOk2qkuf6v+l2S1N8h1UiDVL2tKl2u+Viqfiy7fleP0cje22QZ0EiALEs1fle3aWRAI0s1fq/5I6n5VT3WaqrTtTKg0UD9X1afn4iIiIiIyB8YLDeTqAgJMUYBBySEG6qDOl/h3YVivrqCa+HxQHjsL6r+UWqmierjFOE8TsChVG0T1fuIqmNr/u/8XRFKkwP/ptDIkiuY1lYF1lqNmlbzsc7XY433Y50G0FUdr9MAOq1UlaYG6TKDc2rDFCGgKOrfvvOzwv336u2e26o/M4TXZ4mAx2OPzx7AmS7cPt+cxwDun3tCAFabgFaWcPNAXfOeJCIiImrVGCw3k+sv1aG02AarZERidOj2fnd+gXV+SVZEjd9dX6yF67FDARyu39UA3ZXu+hFwCMDhUB/bFcDhENW/K4DNASiKgM25j0PdVmkXKK8EbHbnforfXqszsFYDaTWw1mkA4dAhIsLmStdXBdx6bXXQrdUA+poBeI3jdVo1WGcwToAaULre0673t3C979W/A1Fjm/s+zr8Rh0Pdz+Hj78vuqA5ma6bXDIadf5vO8rQmigLERratv6e1a9fitddew/fff4/Kykp0794df/rTn/D4449Dp6v/TYOVK1fi7rvvrnOfLVu24IYbbvC5LTs7G/Pnz8emTZtw5swZREdH45prrsHs2bMxYMCABr0mIiKi5sZgmfxKkiS1y7amzr2aqTTeRM3AwxWAqEG2+iNcQYnNXv3Yc3ulvcZxdnX/8kqBYgdQYZWgFDqaXNaardx6rfpY72z11vpuAddqqoNu5zZtjdZxtSu7e2u6sws91c75vnG+d0oqALtGcQWmNkd1MOp8/9irAlZ7jUC35mM10K2xv8/j1X0CyTnUwfleqB72IEGvrRr24DZsQoLsHB4hOYdAVA+3kCXJbeiF25AN5xANqEMy1P+rh394DvWQJHViDUkCIAFy1fAQVO0LVA8Tqfl/zXRA/du0O9rOe3z69OlYvHgxtFothg8fDpPJhM8//xwzZ87Exo0bsXXrVoSHhzcoz27dumHo0KE+t3Xs2NFn+uHDh3H11VcjJycHXbt2xejRo5GZmYmPP/4YGzZswJo1a3Dbbbc1+PURERE1FwbL1KZIUnVQWSPVr89RXGRBpNnoHmTbhffvdvVxpb1GQG4XqKwRqNcMxisqBUpc2/zbtOfswu4cB652ZZfcxo87gym5ZrozAPIIkmTPwAfuQZH6v3re6xOnV3epre566+zBULOLrvNxdW8G4dGroWZLqXtPBnvV756tr74CVofDAI2m0q/n3fm+DNNLbo+1suz6XSOrN0M0btvdhx9oqtJqjudXt1fXm3O/ttJ7wVIhUGYNdimax4YNG7B48WKYTCZ89dVXrtbbvLw8DB8+HDt37sScOXPw0ksvNSjfoUOHYuXKlfXeXwiBO+64Azk5Objrrrvw9ttvQ6NRP3j/+c9/4oEHHsCkSZNw5MgRJCUlNagsREREzYXBMlEASJKkdq12/YX5NyhxtnTaqlohawbcdod7i7hXi6VHC6ddcW/hdAaOdkXAaq/u/u5opV1wfaluIVV/r544DtBrvW8SaGTZFcDKMuCorITJaHAFpM5g1LMF3xkI62psrxn4tpVglZrPiy++CACYNWuWWzfn+Ph4LFu2DFdffTWWLl2KOXPmICoqKmDl2LJlCzIyMhAdHY1ly5a5AmUAuP/++7FmzRrs2LEDixcvxoIFCwJWDiIioqZgsEzUCnm3kDdf0CWEx5jzqtZcz4mdnEG114RwgNfkc8602l6G58ztzhiz5qzr7v9LrhnU3WZkd83U3rTzVVxUAnMUPz6pZTl9+jT27t0LAJgwYYLX9qFDhyIlJQVZWVnYvHkz7rzzzoCVJT09HQAwatQomEwmr+0TJkzAjh07sH79egbLRETUYvHbHhE1iCRJ0FSNVfU9TRBbS4mCISMjAwAQGxuLLl26+Nxn4MCByMrKQkZGRoOC5d9++w3PPvsscnJyYDKZ0KdPH4waNQrx8fF1lmXgwIG1lgMAjhw5AovFAqPRWO+yEBERNRcGy0RERCEgMzMTANCpU6da90lJSXHbt7527dqFXbt2uaWFhYXh+eefx8yZMxtcFmc5hBA4fvw4evfu3aDyEBERNYfQXcOIiIioDSkpKQGAOltpnV2ii4uL65VnUlISnnnmGezZswe5ubkoLi7G3r17MWnSJFitVsyaNcs1TrohZanZNbu2slitVhQXF7v9WK1tZKY2IiJqEdiyTERERD7dcMMNXmsoDxw4EO+88w4uvfRSzJgxA/PmzcO9996LxMREvz73ggULMHfuXLe0adOm4a9//atfn6ctOH/+fLCL0OrwnDUOz1vD8Zw1XGxsbLM9F4NlIiKiEBAZGQkAsFgste5TWloKADCbzU1+vmnTpmHBggXIy8vD1q1bcdddd7mVpaCgoNayOMtRV1lmz56NJ554wi3NYrE065ekUMLz1nA8Z43D89ZwPGctF4NlIiKiENC5c2cAQFZWVq37OLc5920KjUaDHj16IC8vD6dOnfIqS0FBAU6ePFlnOSRJQmpqqs99DAYDDAaDW5rdbm9yuYmIiOqrRYxZXrt2LYYNG4aYmBgYjUZceumlWLRoEWw2W6Py279/P8aNG4fExESEhYWhS5cuePTRR5GTk+PnkhMREbUM/fv3BwDk5+fXOoHXvn37AMBtDeamyM/PB1Ddqu3kzN/5fLWVo0ePHj6XliIiImoJgh4sT58+HePHj8euXbtw+eWX44YbbsDJkycxc+ZMDB8+HOXl5Q3K7+OPP8bgwYPx8ccfIzU1FbfeeitkWcbSpUtxySWX4LfffgvQKyEiIgqe5ORkDBo0CADw4Ycfem3fuXMnsrKyYDAYMHLkyCY/34EDB3D48GEAwOWXX+627bbbbgMAfPrppz67YjvLN2bMmCaXg4iIKFCCGixv2LABixcvhslkwp49e/DZZ59h3bp1OHLkCPr27YudO3dizpw59c7vzJkzmDx5Mux2O5YvX47vvvsOq1evxuHDhzFx4kRkZ2djwoQJEEIE8FUREREFx1/+8hcAwMKFC3HgwAFXen5+PqZOnQoAeOSRRxAVFeXalp6ejl69emHEiBFueZWVleG1115zzWxd03//+1+MHTsWADB06FCvYPnGG29E//79UVhYiKlTp8LhcLi2/fOf/8SOHTtgMpkwbdq0Jr5iIiKiwAlqsOxcbmLWrFluXcLi4+OxbNkyAMDSpUtRVFRUr/xeeeUVlJWV4brrrsP999/vStdoNHj99dcRFRWFvXv3YuvWrX58FURERC3D6NGj8dhjj6G0tBSDBw/GjTfeiNtvvx3du3fHwYMHMWTIEMyfP9/tmKKiIhw6dAhHjx51S6+srMQjjzyChIQEXHnllfjjH/+IsWPHom/fvrj22mtx/Phx9O3bF2vWrPEqhyRJ+Oijj5CQkIB3330XPXv2xB133IErrrgCDzzwALRaLd59910kJSUF9HwQERE1RdCC5dOnT2Pv3r0AgAkTJnhtHzp0KFJSUmC1WrF58+Z65Zmenl5rfiaTCaNGjQIArF+/vrHFJiIiatEWL16M1atX48orr8Tu3buxefNmJCcnY+HChfj8888RHh5er3wiIiIwZ84cDB8+HNnZ2diyZQs+/fRTZGdn47rrrsPy5cuxb98+tG/f3ufxaWlp+OGHH/Dwww/D4XAgPT0dmZmZGDNmDPbs2ePqqk1ERNRSBW027IyMDADqVOldunTxuc/AgQORlZWFjIwM3HnnnXXmV1JS4hqPPHDgwFrze++991zPTUREFIrGjx+P8ePH12vfKVOmYMqUKV7per0e8+bNa1I5kpKSsHTpUixdurRJ+RAREQVD0FqWnTN1durUqdZ9UlJS3Paty/Hjx12/15ZnQ/IjIiIiIiKititoLcvOCUOMRmOt+ziXkyguLq53fnXlWd/8rFYrrFarW5qv9R6JiIiIiIgoNAUtWG7JFixYgLlz57qlzZw5E08//XST8i0pPo9KSUG4FPQVuyiASorPB7sIFGCs49alrEKgvBIoKNDBapDqdcz5877rODY21p9FIyIiohYsaMFyZGQkAPhcf9GptLQUAGA2m+udnzPPmstiNDS/2bNn44knnnBL80fLcqTZBqsUDXMUg+VQZ47iF+pQxzpuPTQGAY0ViI3VwVjPYBlgYExERNTWBS1Y7ty5MwAgKyur1n2c25z71iU1NdX1+8mTJ9G3b99G58cu10RERERERG1b0Jo4+/fvDwDIz8+vdcKtffv2AYDbGsy1MZvN6N69u9txTcmPiIiIiIiI2q6gBcvJyckYNGgQAODDDz/02r5z505kZWXBYDBg5MiR9crTuWajr/xKS0uxceNGAMCYMWMaW2wiIiIiIiJqA4I6ePYvf/kLAGDhwoU4cOCAKz0/Px9Tp04FADzyyCNu44/T09PRq1cvjBgxwiu/6dOnIyIiAtu3b8ebb77pSnc4HJg6dSoKCwsxaNAgXH/99YF6SURERERERBQCghosjx49Go899hhKS0sxePBg3Hjjjbj99tvRvXt3HDx4EEOGDMH8+fPdjikqKsKhQ4dw9OhRr/w6dOiAlStXQqPR4P7778fgwYNxxx13oGfPnnjvvfeQmJiIDz/8EJJU/wleiIiIiIiIqO0J+rTMixcvxurVq3HllVdi9+7d2Lx5M5KTk7Fw4UJ8/vnnCA8Pb1B+48aNw549ezBmzBgcO3YM6enpcDgcePjhh/H999+7xjUTERERERER1UYSQohgF6KtWP91NqxSNBKjg36PggKouKiAywqFONZx62KpECizAjcPrP/SUQUFBVw6qgVivTQOz1vD8Zw1Ds9bw/GctWyM2oiIiIiIiIg8MFgmIiIiIiIi8sBgmYiIiIiIiMgDg2UiIiIiIiIiDwyWiYiIiIiIiDwwWCYiIiIiIiLywGCZiIiIiIiIyAODZSIiIiIiIiIPDJaJiIiIiIiIPDBYJiIiIiIiIvLAYJmIiIiIiIjIA4NlIiIiIiIiIg8MlomIiIiIiIg8MFgmIiIiIiIi8sBgmYiIiIiIiMgDg2UiIiIiIiIiDwyWiYiIiIiIiDwwWCYiIiIiIiLywGCZiIiIiIiIyAODZSIiohCzdu1aDBs2DDExMTAajbj00kuxaNEi2Gy2BuWTkZGBBQsWYMSIEUhMTIROp0NMTAyuvvpqvPbaa7Xm9+WXX0KSpDp/3njjDX+8VCIiooDRBrsARERE5D/Tp0/H4sWLodVqMXz4cJhMJnz++eeYOXMmNm7ciK1btyI8PPyC+djtdgwYMAAAYDKZMGjQICQmJuLUqVP45ptvsHPnTrz77rv47LPPEB0d7TOPxMRE3HDDDT63paWlNfo1EhERNQcGy0RERCFiw4YNWLx4MUwmE7766itXsJuXl4fhw4dj586dmDNnDl566aV65XfZZZdh5syZGDVqFAwGgyv94MGD+MMf/oDvvvsOTzzxBN566y2fx/fq1QsrV65s8usiIiIKBnbDJiIiChEvvvgiAGDWrFmuQBkA4uPjsWzZMgDA0qVLUVRUdMG8tFot9u3bh3HjxrkFygDQt29fLFq0CACwatWqBnfvJiIiag0YLBMREYWA06dPY+/evQCACRMmeG0fOnQoUlJSYLVasXnz5iY/X//+/QEA5eXlyMvLa3J+RERELQ27YRMREYWAjIwMAEBsbCy6dOnic5+BAwciKysLGRkZuPPOO5v0fEeOHAEA6PV6xMbG+twnOzsb8+bNw+nTpxEWFoZevXrhpptuQqdOnZr03ERERM2BwTIRUStVXilQVCZQUQloZCAqQoIpHJAlKdhF88lqE6i0A8awllvG1iwzMxMA6gxEU1JS3PZtLCGEqxv2zTff7NVN2+nXX3/Fc88955am1Wrx6KOPYtGiRdBq+TWEiIhaLnbDJiJqRcqsAmfPK8jMVlBoEYgzyriihxbdEmVU2oGTOQKn8hWUlAsIIYJdXABApV0gK19BdpFAhQ04mSuQlaegqExAUVpGGUNBSUkJAMBoNNa6j8lkAgAUFxc36bnmzp2Lb775BiaTCQsXLvTaHhUVhenTp+Orr77C2bNnYbFY8MMPP+Dxxx+HJEn4xz/+galTp9b5HFarFcXFxW4/Vqu1SeUmIiJqCN7SJSJq4RyKwPlSgZJyIMIAJJhlpMbLSIiSEB0hQZYlABqUVgjkFCnIyldw7rxAXomAQSsQGykhTFd3S66iCJRUqL+H6wG9tuktv5V2gZwiAUUBkuNkpHXQINooIa9EwdnzCk4XCGTlC0gQMEdIMEewxbk1ePfddzFv3jzIsoy33noLPXr08Nqnf//+rjHNTn379sXLL7+MoUOHYuzYsXjzzTcxdepU9OvXz+fzLFiwAHPnznVLmzZtGv7617/67bW0FefPnw92EVodnrPG4XlrOJ6zhqtt6E8gMFgmImqhbA6B/BKBCisQGylhcE8ZHWJlREdIkHwElaYwCaYwDbomalBSLnCuUEFmjoLsQgV2h4Ioo+wWkCpCDcCLywQcChAZJkGSgNxiAZtNAJKAQSchXC8hwlD/ALrCppbb4QA6xspI66hBx1gJGlk9PjJcgy7tNCizCuQWC5wtdCArT+B4joDRIBBrkqDzQ7De1kRGRgIALBZLrfuUlpYCAMxmc6OeY+3atbjnnnsAAG+++SbGjRvX4DzGjBmDfv364X//+x82btxYa7A8e/ZsPPHEE25pFoulWb8khRKet4bjOWscnreG4zlruRgsExG1MBU2gbxitUW2XZSEnt01SI6VEaavfwAZGS4hMlyDbokycosFTuYpOJ6r4ESOgEGnBsfOALlboozkOBkJUTK0MlBSLlBSIVBSrgazRWXq/5V2Aa0GMBrUwNwZPFfaBUorBCwVgN0BhOmAdpEy0jqq+Wo1vssdYZCQmiAhNUFGnxSB0wUKfjvnwNnzAoBAXKQEYxiD5vrq3LkzACArK6vWfZzbnPs2xPr16zFhwgQoioLly5e7gubGuOiii/C///0Pp06dqnUfg8HgNRbabrc3+jmJiIgaisEyEVELUGkXKC5Tu0LrNECHGBk92mvQIVaCrpZgsz5kWUJitITEaBkXp1SPdw7Tq62+7aJkmDwCUoNOQnyNhsdKuxowF1oEcosVnCsUyC0SsNkFBACdVg2ee7SX0C5KRoxRQrSxuiW5PkxhEtI6aNA1UUZ2ocCxbAdOFyjIKRYwh6PB+bVFzm7P+fn5yMzM9Dkj9r59+wDAbQ3m+tiwYQPuuOMOOBwOvP766/jzn//cpLLm5+cDqG4NJyIiaokYLBMRBYmtKggtrRDQyBJiTRLSOshIipaRYHaORfYfo0FC9yQNuidpGnScXishwSwhwQz0aK9BpV0NnAstarDsDI79Mc5Zp5GQHCehY6yE8xZ1IrBjOQqy8gS0GrWLdoSBQbMvycnJGDRoEPbu3YsPP/wQzzzzjNv2nTt3IisrCwaDASNHjqx3vhs3bsT48eNht9vx+uuv44EHHmhSOU+fPo2vv/4aAHD55Zc3KS8iIqJA4mzYRETNrNKuzlh99ryAXiehfxct/tBPhxv663BpZy0So2W/B8r+pNeqLcg9O2iQ1kGDdlGyXwLlmiRJQqxJxqWdtRjZX4ff9dEiJU5GUZlAZraC/BIFDs6k7eUvf/kLAGDhwoU4cOCAKz0/P981+/QjjzyCqKgo17b09HT06tULI0aM8Mpv8+bNuP3222G32/HGG2/UO1BevHgx8vLyvNJ/+OEH3HLLLSgvL0e3bt1w6623Nuj1ERERNSe2LBMRNRPX7NACSI5VZ4dOimlaN+u2wKCT0KWdBp0TZOSXqDcaMnMUnMoXkCWBGJMEowE+Jz1ra0aPHo3HHnsMr776KgYPHowRI0bAaDRix44dKCwsxJAhQzB//ny3Y4qKinDo0CFUVFS4pefk5GDMmDGorKxEcnIydu/ejd27d/t83pdeegnx8fGux8899xxmzJiBfv36oUuXLpBlGUePHkVGRgYURUGnTp2wcePGWtdnJiIiagkYLBMRBZivJZQ6xHIMbkNJkoR4s4R4s4yLkgXOFQqcyHXgTIGC3CIgwiAQbZRguMAyWaFu8eLFGDJkCF577TXs3r0bNpsN3bp1w6xZs/D4449Dr9fXK5+ysjLXusanTp3CO++8U+u+zz//vFuw/Mwzz2DXrl346aefsG3bNlgsFpjNZlx11VW49dZb8cADD3C8MhERtXiSEIL92JrJ+q+zYZWikRjN3u+hrLioAOYoLgEQyupbx5YKgYJSdVxvxxjvJZTIPwot6jJZx7IV5JcqcE6YrNGoM3MDgBASbh6og7Ge450LCgq4lEcLxHppHJ63huM5axyet4bjOWvZ2LJMRORHDkWd+KqoTF1iqUs7GV3aadA+Rqp1CSVqmmijhGijBj3ayzhfWrWMlRUotCgoKBUoqwTC9QDvURAREVFDMFgmImoiIQTKrEBhmYDNDsSYJAzqJiMlXl1GiWNpm4dGdnbTdqVAUQTKbYDNDoQ3YJ1qIiIiIgbLRESNoAgBSwVQVCZgcwARenVt5C7tZHSIkRHGwKxFkGV18i9wHikiIiJqIAbLFFCKEJDZqkYhxFIhcCpPQYRVwBQmITVBRsdYGQlmGeZwzshMREREFCoYLJPfVNoFyiuB8koBqw0QApCgdlGVNWrLW7heUscONmDwoCIEhECDJ0VyKAKVdlT9qL/b7YBBD8SZJOj8vC4shbbySnVGa70G6JYo46KuWsSbZZjC+D4iIiIiCkUMlqleHIpAfok6aY5zLm/PadR1WiBcJyEhUka8WUJUhIQwnQSLVeC8RUFukUBJuUB+iRoAX4hU9RySpP4oinCl67SAXgvotBIUBbA5qoJhR/XxGlndR6+VEBkmwRwuwRQm4cx5BWfPC0iSQFykhIh6zo5LbVOlXSCnUH3vdW0no1dHDbQOLeLiNEEuGREREREFEoNlqpPdIZBXIlBhBeLNEvp20kCrUWeVlSQ1cJUktdXXFAZEhkvQ+2yx1UAINdguLlNnq60tXNbIav5ajVT1v/oclTa1dc9iFSguEyguF6iwqfvHGGXX84fp1HVWw/Rq8B6mh1uZencSOHdeIDPHgVP5CrKLBKIjJEQZwS7j5GKzC+QWC9gd6trIvTpq0CFGgixLKCjg+4SIiIgo1DFYJp+cgUKlHUiMknB5dw1S4mQYdI0PEiRJDaj91W1VCLV8Wk3DumjrNBJS4iUkx0nILxE4mafgaLaC49kC0SbB2YvbOEuF2osCEtA+SkavZA2S47g2MhEREVFbw2CZAKjdosutgMWqjjuWACRGy0jrICM5Tq6ltTi4JEmCQde049VlZmT07CBwPMeBX04ryMwWiI0EoiI4WVNboYiqtZEtQIQB6Jakro2cFM21kYmIiIjaqqAGyyUlJViwYAHWrVuHkydPwmg04oorrsCMGTMwfPjwBud34MABfP7559i/fz/279+P3377DUIIvPfee5g4cWIAXkHr5VDUdWFLKwQqbWpauB4wR0hIay8jziyjfYwEXRsJFExhEvp00iI1QeDoOQcOn1WQmSMQFwlERbSNc9DW1BwWYLUB0UYJA7rKSE3g2shEREREFMRgOScnB1dffTUOHz6M9u3b45ZbbkF2dja2bNmCLVu2YPHixXj00UcblOe8efPwySefBKjErZsiqoNja6U6BjjCICExSkZStIRoo4yoCLWbdFsOEiLDJfTrokWXRIHfzjnw21kFmTkKoiKA6AipQbN4U/3YHQJFZQKl5QKQ1DVxTVVjz/1NEQKl5UBRuYCjam3k9jEyOsWryz9xsjciIiIicgpasHz//ffj8OHDGDFiBD799FNEREQAADZv3oxRo0Zh+vTpuPbaa3HJJZfUO8/Bgwejd+/eGDBgAPr374977rkHX331VaBeQqtQUamOPXYogNEgIc4ko0OMhBiTjBiTBCODA5+iIiRc1lWLrokKTuSoY5pP5AqE6dUZtFtit/TWxKEIlJQDRWUCEtRW3X5dNBACOF2goKBEoNImoNMBkWESwg1ocC8H55j2msuZAWp+XRNkdIyTER8pw8yeA0RERETkQ1CC5Z9//hmffPIJNBoNVqxY4QqUAWDkyJGYMmUKVqxYgQULFuCjjz6qd76zZs0KRHFbpfJKgbxiAUkCOsXL6JakQaxJbbVryy3HDRVjlBHTRR3TfLpAwZGzCs4VKoAQiI1s3PkUQg3cnEEcoM40HuoBuLPb8/lS9eaNOVxC7xQZHWI0aBdV/fov7SxwvlQgv1TgTIGCvGJ15nO7wzl/uoBGI0GvAWQZUBRAEeq63krVj1DUZccMWiC8qgdFQtVyZglRMm8SEREREdEFBSVYTk9PBwAMGTIEqampXtsnTJiAFStWYOPGjbDZbNDpmjCLUxtTXimQWySgkYHOCTJ6tFcnKWL34aaJMEjo0V6DLu1knCusXnYqtwiIMAjEmGoPdq02tQt8WaWAza6mGXRAuF5CcpwMm11tTdVqBNpFhd6EUpV2NfgtswJGA9ClndrtOTFaRrje+7VqZOfEa0BaBw3KrOpyYVYbUGFTlwsrLVdQUq6ur63TSNBq1FnRdRp1ybFwvbqmdmS4Oh491G9EEBEREZH/BSVYzsjIAAAMHDjQ53ZnusViwZEjR3DxxRc3W9laq0q7QHahgCwDXRPVIDkxikGyv2k16pJTyXEyCi0CZ88rOJbjQHahgENREBUho9IqUFmsoMwKOASg16pd4FPjZcRFyjCHSzBVBXE6jQS7QyArX8EvpxScylcQrheIN7fupYoURaC4qpu1LAHxkRL6ddagfYyMaGPDXleEQfIxlljjv8ISEREREfkQlGA5MzMTANCpUyef281mM8xmM4qLi5GZmclguQ6KUNeELa1QW5J7p6hBMrtaB160UUK0UYMe7WXkFgucyldwIldBaYVAkllCl3Yy4iIlmMMlRBlrn1lcq5HQpZ0GHWNlnMxT8MspB07kCpjD1a7eciupS+c45OIyAQH1ZsDFyTJS4jQh2WJORERERKEtKMFySUkJAMBoNNa6j8lkQnFxMYqLi5urWC5WqxVWq9UtzWAwwGAwNHtZ6mKpEMgpFogxSri6lwZdEuU2s9RTS6LVSGgfI6F9jIw+nQSyc/To1EHX4FZ9vVZC9yQNkmNlHM+tCppzBOLN6izdweQcb+xQh2tXpQECAooCWKwAhLr0WK9kGe2jNUgw+2oRJiIiIiJqHRocLD/99NP49NNPG/xE//rXvzB06NAGHxcMCxYswNy5c93SZs6ciaeffrpJ+ZYUn0elpCBckpuUj92hjksGgK5JMnp10CIyTEJJUZOyJT9xWAtRWNi0ILFdOBCRInDkrAPHsh04aQMSoyTom7CckiIE7Hag0q6O9XUoautvmI9xwzUVlwmctwgY9YCuxthfCeoSZLIEJEdLSIrSIC6yOr8Ki/oTis6fPx/sIlCA1VbHsbGxzVwSIiIiCpYGB8tnzpzBoUOHGvxEpaWlrt8jIyMBqGOSL7S/2Wxu8HM11ezZs/HEE0+4pfmjZTnSbINVioY5qvHBckm5QGGxQJdkGX06adAxll2uWyJ/fKGOBdCpA9C3SMFPWQ6cyFNgU4B2UfUbz+xQBAot6vrFAhIkqOOnDRESInXqUkznLQryrUBkmNqtvGZX6eIytYu/KULC0G4yuiVqYAyrDpJd/7fR9x+DptDHOiYiImrbGhwsv//++3j//feb9KSdO3fGgQMHcPLkSZ/ba3a/7ty5c5OeqzFaYpdrRRE4V6i2Jl/WVYOLkzUwNKGVkVqPdlHq2OesPDVoPpUnIEkCpnB1zWCdx0zP5ZVqkGt3ADEmCf27aGCOkBCmkxCuB8L0EgxaNdAtqFqeKTNHwZkCAUDAGAYUlwNGPdA3VZ0sLsbYtN4QREREREStTVDGLA8YMADr16/Hvn37fG53phuNRvTs2bM5i9YilVcKnD0vkBgloX8XLZLjGLi0NRpZQud26mzSpwsU5BSrwW12oYBdETDo1FbjknJ1beGOsTK6JsroECPXeVMlLlJCXKSMtI4COUUCJ/McOFco0CdFXSor1sT3GhERERG1TUEJlkePHo1nn30Wu3btwsmTJ71mxf7www8BALfcckubXmNZCIG8EoFyK3BxsoxLUrUwhbE1uS0z6CR0TdSga6LGtX5xQanA6QIFJeUC/TrLSImXER/ZsO75em31kliVdsF1iYmIiIiozQtKs1Hv3r1x6623wuFw4N5770V5eblr25YtW7By5UrIsozZs2d7HTtp0iT06tULS5cubc4iN7sKm8DJXAUaScLQi7QY3IOBMrnTayUkRsu4KFmD6y7R4eaBOgzoqkWCWW7SOGIGykREREREQWpZBoB//vOf+Pnnn7F9+3Z069YNV199NXJycvDVV19BCIHFixfjkksu8Tru5MmTOHToEPLy8ry2bdq0CfPnz3c9/vnnnwEAzz//vFtw/e233wbgFfmHItSZrq02oFuSBn07aRDDrrBUD1w2jIiIiIjIf4IWLLdr1w779u3DggULsG7dOnzyyScwGo34wx/+gCeffBIjRoxocJ65ubnYs2ePV/rRo0dx9OhRfxQ7oEorBHIKBRKiJFzRQ4PUBLlesx4TERERERGRf0lCCBHsQrQV67/OhlWKRmK0e0ux3SFw7ryARgZ6dJDRO0ULo4FBcmtVUFDAJWdCHOs49LGOWybWS+PwvDUcz1nj8Lw1HM9Zyxa0lmVSJ/AqKBUoLgOS42T07aRB+xium0xERERERBRsDJaDxFIhkF0kEB0hYUgvDbomypxYiYiIiIiIqIVgsNzMbA7gVJ4CSQb6dJJxcUctzBEMkomIiIiIiFoSBsvNzGoT6JygQe8UdrkmIiIiIiJqqbgmUTNqHy3h2ot1GNZHiw6xTVsLl4iIqDZr167FsGHDEBMTA6PRiEsvvRSLFi2CzWZrVH779+/HuHHjkJiYiLCwMHTp0gWPPvoocnJy6jwuOzsbjzzyCLp06QKDwYDExESMGzcOBw4caFQ5iIiImhOD5WaU1lGLnh00XA+XiIgCZvr06Rg/fjx27dqFyy+/HDfccANOnjyJmTNnYvjw4SgvL29Qfh9//DEGDx6Mjz/+GKmpqbj11lshyzKWLl2KSy65BL/99pvP4w4fPoxLLrkEr732GmRZxujRo5GamoqPP/4YV1xxBdLT0/3xcomIiAKGwTIREVGI2LBhAxYvXgyTyYQ9e/bgs88+w7p163DkyBH07dsXO3fuxJw5c+qd35kzZzB58mTY7XYsX74c3333HVavXo3Dhw9j4sSJyM7OxoQJE+C5CqUQAnfccQdycnJw11134fDhw1i9ejW+++47LF++HHa7HZMmTcK5c+f8fQqIiIj8hsEyERFRiHjxxRcBALNmzcKAAQNc6fHx8Vi2bBkAYOnSpSgqKqpXfq+88grKyspw3XXX4f7773elazQavP7664iKisLevXuxdetWt+O2bNmCjIwMREdHY9myZdBoNK5t999/P0aMGIHS0lIsXry40a+ViIgo0BgsExERhYDTp09j7969AIAJEyZ4bR86dChSUlJgtVqxefPmeuXp7CrtKz+TyYRRo0YBANavX+/zuFGjRsFkMnkd68zP8zgiIqKWhMEyERFRCMjIyAAAxMbGokuXLj73GThwoNu+dSkpKXGNR3YeV9/8nI8vdNyRI0dgsVguWBYiIqJgYLBMREQUAjIzMwEAnTp1qnWflJQUt33rcvz4cdfvteVZW34XKovzOCGE2/MQERG1JFxnmYiIKASUlJQAAIxGY637OLtEFxcX1zu/uvKsLb8LlaVm1+zaymK1WmG1Wr3SiIiImgtblpuJ1WrFq6++ygt9iGM9hz7WcehjHbcMCxYsQFRUlNvPnXfeyXppIL6fG47nrHF43hqO56zhrFYrnn/++WY7ZwyWm4nVasXcuXP5xxDiWM+hj3Uc+lprHUdGRgJAnWOAS0tLAQBms7ne+dWVZ235XagszuPqKsvs2bNRVFTk+snKysJXX33V6uol2Frr+zmYeM4ah+et4XjOGq65zxmDZSIiohDQuXNnAEBWVlat+zi3OfetS2pqquv3kydPNig/5+MLHSdJktvz1GQwGGA2m91+iIiImhODZSIiohDQv39/AEB+fn6tE3jt27cPANzWYK6N2WxG9+7d3Y6rb37Oxxc6rkePHj6XliIiImoJGCwTERGFgOTkZAwaNAgA8OGHH3pt37lzJ7KysmAwGDBy5Mh65XnbbbfVml9paSk2btwIABgzZozP4z799FOfXbGd+XkeR0RE1JIwWG4mBoMBzz33HAwGQ7CLQgHEeg59rOPQ15rr+C9/+QsAYOHChThw4IArPT8/H1OnTgUAPPLII4iKinJtS09PR69evTBixAiv/KZPn46IiAhs374db775pivd4XBg6tSpKCwsxKBBg3D99de7HXfjjTeif//+KCwsxNSpU+FwOFzb/vnPf2LHjh0wmUyYNm1avV9ba66XYOJ5azies8bheWs4nrOGa+5zJgkhRLM8ExEREQXctGnT8Oqrr0Kn02HEiBEwGo3YsWMHCgsLMWTIEGzbtg3h4eGu/VeuXIm7774bqampPtc8Xrt2Le688044HA5cccUV6Ny5M/bu3Ytjx44hMTERO3fudHXXrunQoUO4+uqrkZubi65du2LQoEHIzMzEd999B61WizVr1rhaoImIiFoitiwTERGFkMWLF2P16tW48sorsXv3bmzevBnJyclYuHAhPv/8c7dAuT7GjRuHPXv2YMyYMTh27BjS09PhcDjw8MMP4/vvv/cZKANAWloafvjhBzz88MNwOBxIT09HZmYmxowZgz179jBQJiKiFo8ty0REREREREQe2LJMRERERERE5IHBcjNYu3Ythg0bhpiYGBiNRlx66aVYtGgRbDZbsItGF2Cz2bBjxw489dRTGDRoEKKjo6HT6ZCUlIRRo0Zh06ZNdR6/fft2jBw5EvHx8QgPD0evXr3wzDPPoLS0tJleATXW008/DUmSIEkSXnjhhVr3Yx23LpWVlXj11VcxdOhQxMbGIiwsDMnJybjxxhuxevVqn8ewjgPD39fG/fv3Y9y4cUhMTERYWBi6dOmCRx99FDk5OX4ueXD567xlZGRgwYIFGDFiBBITE6HT6RATE4Orr74ar732Wkh9Rwnk97DNmze7rhXXXXedH0rbMgTinH3yyScYNWoUkpKSoNfr0a5dO1x11VWYN2+eH0seXP48bxaLBQsWLMDAgQNhNptd3z9vvvlmfPrppwEoffM6dOgQlixZgilTpqBv377QarUX/M5VH36/ZgsKqGnTpgkAQqvViuuvv16MGTNGREdHCwBi6NChoqysLNhFpDps27ZNABAARFJSkrjpppvE+PHjRZ8+fVzp999/v1AUxevYl19+WQAQkiSJa665RowbN04kJSUJACItLU3k5uYG4RVRfezatUvIsiwkSRIAxPz5833uxzpuXbKyssTFF18sAIj4+Hhx8803iz/+8Y/iqquuEhEREWLs2LFex7COA8Pf18a1a9cKrVYrAIhBgwaJ8ePHi65duwoAIjExURw5ciRAr6R5+eu82Ww21zXMZDKJ3/3ud+KOO+4QQ4cOFRqNRgAQl19+uTh//nxgX1AzCOT3sIKCAtGhQwfXtWLEiBF+LHnw+PucWa1WMW7cOAFAhIeHi+HDh4s777xT/O53vxPt2rUTcXFxAXolzcuf5y0vL891vTKZTOL6668X48ePFwMGDHD97T722GMBfDWB5zxfnj+1feeqj0BcsxksB1B6errrTb5//35Xem5urujbt68AIGbMmBHEEtKF7NixQ4wdO1b897//9dq2atUq15eKd955x23bgQMHhCRJQqPRiM2bN7vSLRaLGDFihADg84s5BZ/FYhE9evQQHTt2FKNHj671g5t13LqUlZWJXr16CQDi+eefF5WVlW7bLRaLyMjIcEtjHQeGv6+Np0+fFhEREQKAWL58uSvdbreLiRMnugJoXzc1WxN/njebzSYuu+wysWbNGlFRUeG27YcffhDt27cXAMTdd9/t19fQ3AL9PexPf/qT0Gg04qGHHgqZYDkQ52zSpEkCgBg9erRXsOJwOMQ333zjl7IHk7/P22OPPSYAiMsuu0zk5+e7bdu0aZPr5mBrPndvvvmmePLJJ8UHH3wgfvnlF3HXXXc1KVgO1DWbwXIADRo0SAAQL7zwgte2r7/+WgAQBoNBFBYWBqF05A/33nuvzwuk8w7qfffd53XM8ePHhSzLAoD45ZdfmquoVE/OC9SmTZvE5MmTa/3gZh23LnPmzHH1BKkv1nFg+Pva+NRTTwkA4rrrrvPaVlJSIqKiogQA8Z///KfJZQ+m5vxO8d5777laAT1vLLUmgTxn69evFwDEU089Jd5+++2QCZb9fc62b98uAIg+ffq06vfShfj7vDl7MK5Zs8bn9t///vcCgHj55ZebVO6WpK7vXPURqGs2xywHyOnTp7F3714AwIQJE7y2Dx06FCkpKbBardi8eXNzF4/8pH///gCArKwsV1plZaVrLLOvuk9NTcWQIUMAAOnp6c1QSqqvL7/8EkuWLMGkSZMwcuTIWvdjHbcuNpsNr7/+OgDgqaeeqtcxrOPACMS10Xn+feVnMpkwatQoAMD69esbW+yga+7vFM5rW3l5OfLy8pqcXzAE8pzl5eXhwQcfRFpaWkiNtw3EOVuyZAkAYPr06dDpdP4rbAsSiPMWFhZWr/3i4+PrX9AQFshrNoPlAMnIyAAAxMbGokuXLj73GThwoNu+1PocOXIEANC+fXtX2uHDh1FWVgaguo49se5bntLSUtxzzz1ITEzEK6+8Uue+rOPW5cCBA8jLy0OHDh3QvXt3HDx4EHPnzsUDDzyAWbNmYdOmTVAUxe0Y1nFg+PvaWFJSgt9++83tuKbk11I193cK57VNr9cjNja2yfkFQyDP2UMPPYS8vDysWLGi3kFNa+Dvc+ZwOLBjxw4AwDXXXINz587hlVdewUMPPYTp06fjnXfeCYmJEgPxXrvxxhsBAH/7299QUFDgtm3z5s344osvXJPNUmCv2dqmFY1qk5mZCQDo1KlTrfukpKS47Uuty7lz57By5UoAwNixY13pzvqMjo5GZGSkz2NZ9y3Pk08+iczMTKSnpyMmJqbOfVnHrcsPP/wAAEhOTsasWbOwaNEiCCFc2//2t7+hf//+2LBhg+szm3UcGP6+Nh4/ftz1e215hkI9Ned3CiEEFi1aBAC4+eabYTAYmpRfsATqnK1atQoff/wxpk2b5mqpChX+PmfHjh1zBcPffvstpk6d6hUcP/XUU1i1ahWGDx/e2GIHXSDeazNnzsR3332Hzz77zNUqGh0djd9++w379+/HkCFDsGLFCkRFRTX9BYSAQF6z2bIcICUlJQAAo9FY6z4mkwkAUFxc3CxlIv+x2+2YOHEiioqK0LdvXzzwwAOubaz71mfr1q1Yvnw57rjjDowePfqC+7OOW5f8/HwA6t3kv/3tb5g6dSoOHTqEoqIibNu2DT179kRGRgZuuukm1/IerOPA8Pd5deZXV56hUE/N+X6cO3cuvvnmG5hMJixcuLBJeQVTIM7ZuXPn8PDDD6Nbt2548cUXm17IFsbf58z52QsA9957Ly677DLs3bsXJSUl+N///oeRI0ciNzcXt956q6s3Q2sUiPea0WjExo0b8eSTT8JiseCzzz7D6tWrsX//fsTFxeG6665Dx44dm174EBHIz0gGy0SN8OCDD2LHjh2Ii4vDxx9/DL1eH+wiUSMVFRXh3nvvRUJCgmtsFYUWZyuyzWbDnXfeiaVLl6Jnz54wm8247rrrsG3bNoSFheHHH3/EqlWrglxaouB59913MW/ePMiyjLfeegs9evQIdpFalPvvvx/nz5/Hv/71L0RERAS7OC1ezR48HTt2xGeffYaBAwfCZDLh0ksvxaeffoo+ffqgtLS0Vd+YCYSzZ89iyJAhWLJkCV544QVXK/13332Hyy67DHPnzsXQoUPdbhhSYDBYDhBnFwCLxVLrPs6uKGazuVnKRP4xbdo0rFixAjExMa5WqZpY963L9OnTcerUKSxdurTeE2WwjluXml2yavYCcerUqRNuuukmAMD27dvdjmEd+5e/z2vNuq0tz1Cop+Z4P65duxb33HMPAODNN9/EuHHjGpVPS+Hvc/bOO+9g48aNePDBBzFs2DC/lLGlCeTf55QpU7y69Gs0GtdnsvOztzUKxN/n5MmTsXfvXsyfPx9/+ctf0KVLFxiNRgwaNAj//ve/0bdvX3z//fd46aWXmv4CQkAgPyM5ZjlAOnfuDMB9lmRPzm3OfanlmzFjBl599VVER0dj69atrhlDa3LWZ2FhIUpKSnyOnWDdtxzp6enQarVYtmwZli1b5rbt119/BQCsWLEC27dvR1JSElatWsU6bmW6du3q83df+5w9exYA/44Dxd/XxtTUVNfvJ0+eRN++fZuUX0sV6O8U69evx4QJE6AoCpYvX+4Kmlszf58z5wy6e/fu9QqWz507BwDYv3+/a9uqVauQlJTUsEIHmb/PWefOnSFJEoQQ9f7sbY38fd5Onz6Nbdu2AQDuvPNOr+06nQ633347Dh48iO3bt2Pu3LkNL3SICeQ1m8FygDiDqPz8fGRmZvqcHW/fvn0AgAEDBjRr2ahxnn76abz88suIiorC1q1ba51tLy0tDRERESgrK8O+ffvwu9/9zmsf1n3LYrfb8dVXX9W6/fjx4zh+/LjriznruHUZMGCA6wtbXl6ea5KPmpzL4zjHNLGOA8Pf10az2Yzu3bvjt99+w759+3wGy6FQT4H8TrFhwwbccccdcDgceP311/HnP/+56QVuAQJ1zpzH+FJYWOi6llRUVDSkuC2Cv8+ZyWRCWloafv3111qXIPP87G2N/H3eTp486fq9tlZQ58RenjNlt1WBvGazG3aAJCcnY9CgQQCADz/80Gv7zp07kZWVBYPBUOd6rtQyzJo1C3//+98RFRWFbdu2uerWF71e7+rS6avuT5w4gd27dwMAbrvttsAUmOqtsLAQQgifP5MnTwYAzJ8/H0II18y7rOPWJSkpCUOHDgXgu6ufzWZzfcG9/PLLAbCOAyUQ10bn+feVX2lpKTZu3AgAGDNmTGOLHXSB+k6xceNGjB8/Hna7Ha+//rrPYQqtlb/P2YYNG2q9Vrz99tsAgBEjRrjSWmNPhkC8z5zd+WvrZu1sQXV+9rZG/j5vNSfu2rNnj899vv32WwCodamqtiag12xBAZOeni4ACJPJJPbv3+9Kz8vLE3379hUAxIwZM4JYQqqPZ555RgAQ0dHR4rvvvqvXMfv37xeSJAmNRiO2bNniSrdYLGLEiBECgBg7dmygikx+MnnyZAFAzJ8/32sb67h12b59uwAgYmJixDfffONKt9ls4tFHHxUARGRkpDh37pxrG+s4MBpzbVy/fr1IS0sTw4cP98rv9OnTIiIiQgAQ//znP13pdrtd3HXXXQKAGDRokFAUJXAvqhn4+7xt2rRJ6PV6IUmSWL58ecDLHwz+Pme1efvttwUAMWLECL+VPVj8fc5yc3NFTEyMACDeeOMNt20fffSRkCRJABCbNm0KzAtqJv4+b4MGDRIAxEUXXSQyMzPdtr333nuu8/bee+8F5PUEQ13fuZyWLFki0tLSxF133eW1LVDXbAbLAfbYY48JAEKn04kbbrhBjB07VkRHRwsAYsiQIaKsrCzYRaQ6fPLJJwKAACAGDhwoJk+e7PPH102Pl19+WQAQkiSJYcOGifHjx4v27dsLACItLU3k5uYG4RVRQ1zog5t13LrMnz9fABBarVZcddVVYsyYMaJz584CgAgPDxf//ve/vY5hHQdGQ6+NzmAkNTXVZ35r1qwRGo1GABBXXHGF+OMf/yi6du0qAIjExERx5MiRZnhVgeev85adnS0MBoMAIJKTk2u9tk2ePLnVv8f9/V7zJZSCZSH8f862bt0qwsLCBADRu3dvcfvtt4v+/fu7vl/NmTOnGV5V4PnzvB08eFDEx8cLACIsLEwMGzZM3H777aJ3796u8zZx4sRWfRNw//794oorrnD9OF9vcnKyW/qZM2dcxzz33HMCgLj22mt95hmIazaD5WawevVqcc011wiz2SzCw8NFnz59xMKFC4XVag120egCnB9kF/qp7QKxbds2ccMNN4jY2FhhMBhEjx49xOzZs0VxcXHzvhBqlPrc5WQdty6fffaZuPHGG0VsbKzQ6XQiJSVFTJkyRfzyyy+1HsM6DoyGXBvrE8Ds27dPjBkzRiQkJAi9Xi9SU1PFww8/7NZbIBT447xlZmbW69oGwKtVqzXy93uttmNCJVgWwv/n7NChQ2Ly5MmiY8eOQqfTibi4ODFy5Ejx2WefBfBVND9/nrdz586JmTNniksuuUQYjUah1WpFQkKC+MMf/iBWr14d4FcSeF988UWDP4MuFCwL4f9rtiREjUXQiIiIiIiIiIgTfBERERERERF5YrBMRERERERE5IHBMhEREREREZEHBstEREREREREHhgsExEREREREXlgsExERERERETkgcEyERERERERkQcGy0REREREREQeGCwTEREREREReWCwTEREREREROSBwTIRERERERGRBwbLRERERERERB4YLBMRERERERF5+P9aKLjbutyhDwAAAABJRU5ErkJggg==\n"
          },
          "metadata": {}
        },
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "array([[<Axes: title={'center': 'Brand 1 Ad Group 1'}>,\n",
              "        <Axes: title={'center': 'Brand 1 Ad Group 10'}>],\n",
              "       [<Axes: title={'center': 'Brand 1 Ad Group 11'}>,\n",
              "        <Axes: title={'center': 'Brand 1 Ad Group 13'}>],\n",
              "       [<Axes: title={'center': 'Brand 1 Ad Group 2'}>,\n",
              "        <Axes: title={'center': 'Brand 1 Ad Group 3'}>],\n",
              "       [<Axes: title={'center': 'Brand 1 Ad Group 4'}>,\n",
              "        <Axes: title={'center': 'Brand 1 Ad Group 5'}>],\n",
              "       [<Axes: title={'center': 'Brand 1 Ad Group 6'}>,\n",
              "        <Axes: title={'center': 'Brand 1 Ad Group 7'}>],\n",
              "       [<Axes: title={'center': 'Brand 1 Ad Group 8'}>,\n",
              "        <Axes: title={'center': 'Brand 1 Ad Group 9'}>],\n",
              "       [<Axes: title={'center': 'Brand 2 Ad Group 1'}>,\n",
              "        <Axes: title={'center': 'Brand 2 Ad Group 2'}>],\n",
              "       [<Axes: title={'center': 'Brand 2 Ad Group 3'}>,\n",
              "        <Axes: title={'center': 'Brand 2 Ad Group 4'}>],\n",
              "       [<Axes: title={'center': 'Brand 2 Ad Group 5'}>,\n",
              "        <Axes: title={'center': 'Brand 1 Ad Group 14'}>],\n",
              "       [<Axes: title={'center': 'Brand 2 Ad Group 6'}>, <Axes: >]],\n",
              "      dtype=object)"
            ]
          },
          "metadata": {},
          "execution_count": 12
        }
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "## Estimating Return on Investment (ROI)"
      ],
      "metadata": {
        "id": "DGbT01Hsqb4Z"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "contribution = scaler_y.inverse_transform(ktr_.get_regression_coefs().iloc[:, 1:] * media_data_train[regressor_col])\n",
        "contribution = pd.DataFrame(contribution,columns=regressor_col).sum(axis=0)\n",
        "contribution.plot(kind='bar')"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 579
        },
        "id": "5vlQjTLzpZ6D",
        "outputId": "c8a59bed-d04e-4a6d-cf20-320bd20c83fa"
      },
      "execution_count": 13,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "<Axes: >"
            ]
          },
          "metadata": {},
          "execution_count": 13
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 640x480 with 1 Axes>"
            ],
            "image/png": 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\n"
          },
          "metadata": {}
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "roi = (contribution.sum(axis=0) / costs_raw.sum(axis=0)).clip(0)\n",
        "roi.plot(kind='bar')"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 599
        },
        "id": "zXnYjQ83qnJP",
        "outputId": "f0169675-00ac-45aa-a185-e176dad19d3f"
      },
      "execution_count": 14,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "<Axes: xlabel='Ad group alias'>"
            ]
          },
          "metadata": {},
          "execution_count": 14
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 640x480 with 1 Axes>"
            ],
            "image/png": 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\n"
          },
          "metadata": {}
        }
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "## Optimizing Advertising Budgets"
      ],
      "metadata": {
        "id": "TVijDVCyr3za"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "cpi = costs_raw.sum(axis=0) / media_data_raw.sum(axis=0)\n",
        "cpi = cpi[regressor_col]\n",
        "\n",
        "def opt_fun(*x):\n",
        "  x = np.array(x).reshape(1,-1)\n",
        "  \n",
        "  x_ = media_data_raw.iloc[-1:].copy()\n",
        "  x_['Date'] = x_['Date'] + pd.Timedelta(1, \"D\")\n",
        "\n",
        "  x = pd.DataFrame(x, columns=regressor_col)\n",
        "  cost = (cpi * x).squeeze().sum() # unlimited budget\n",
        "  if cost > 2000:\n",
        "    return 1\n",
        "\n",
        "  x__ = scaler.transform(x)\n",
        "  x_[regressor_col] = x__\n",
        "\n",
        "  p = scaler_y.inverse_transform(ktr_.predict(x_)['prediction'].values.reshape(-1,1))[0][0]\n",
        "  return -(p / cost)"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "JzpMXzwNruZe",
        "outputId": "8de655c0-c1a4-4927-baf0-23ccf5cde700"
      },
      "execution_count": 15,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "<ipython-input-15-b54df088fba8>:1: FutureWarning: The default value of numeric_only in DataFrame.sum is deprecated. In a future version, it will default to False. In addition, specifying 'numeric_only=None' is deprecated. Select only valid columns or specify the value of numeric_only to silence this warning.\n",
            "  cpi = costs_raw.sum(axis=0) / media_data_raw.sum(axis=0)\n"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "import nevergrad as ng\n",
        "\n",
        "params = ng.p.Instrumentation(*[ng.p.Scalar(lower=0, upper=b*1.1) for b in media_data_raw.max(axis=0).iloc[1:-1].values])\n",
        "optimizer = ng.optimizers.RandomSearch(parametrization=params, budget=100)\n",
        "recommendation = optimizer.minimize(opt_fun) \n",
        "print(recommendation.value)"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "EOuicdG5r9rE",
        "outputId": "6b3a2d91-9ca7-4fd1-d14a-c533ee82ac5a"
      },
      "execution_count": 16,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "((9328.983336388314, 103.40748151005408, 44851.59809537498, 245.6075690079001, 33539.5792512183, 3294.5390110051303, 163207.53829797974, 319.6203499180453, 1390.2828474007772, 1412.8955260625728, 709.9168023828688, 824.8124857073462, 83870.78851195304, 257069.35035720022, 85483.92874301407, 71016.02785791481, 61126.91751455682, 63510.435721856695, 759.4647118229315), {})\n"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "from orbit.diagnostics.plot import plot_predicted_components, plot_predicted_data\n",
        "predicted_df = ktr_.predict(df=media_data_test, decompose=True)\n",
        "_ = plot_predicted_components(predicted_df, date_col)"
      ],
      "metadata": {
        "id": "eJa1mlOZr-Ol"
      },
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "_ = plot_predicted_data(media_data_train, predicted_df, date_col, response_col)"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 1000
        },
        "id": "f78sfGZMyX5g",
        "outputId": "c6cb85b6-6bbd-4cf1-9640-264421f19f28"
      },
      "execution_count": 18,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "WARNING:matplotlib.font_manager:findfont: Generic family 'sans-serif' not found because none of the following families were found: Arial\n",
            "WARNING:matplotlib.font_manager:findfont: Generic family 'sans-serif' not found because none of the following families were found: Arial\n",
            "WARNING:matplotlib.font_manager:findfont: Generic family 'sans-serif' not found because none of the following families were found: Arial\n",
            "WARNING:matplotlib.font_manager:findfont: Generic family 'sans-serif' not found because none of the following families were found: Arial\n",
            "WARNING:matplotlib.font_manager:findfont: Generic family 'sans-serif' not found because none of the following families were found: Arial\n",
            "WARNING:matplotlib.font_manager:findfont: Generic family 'sans-serif' not found because none of the following families were found: Arial\n",
            "WARNING:matplotlib.font_manager:findfont: Generic family 'sans-serif' not found because none of the following families were found: Arial\n",
            "WARNING:matplotlib.font_manager:findfont: Generic family 'sans-serif' not found because none of the following families were found: Arial\n",
            "WARNING:matplotlib.font_manager:findfont: Generic family 'sans-serif' not found because none of the following families were found: Arial\n",
            "WARNING:matplotlib.font_manager:findfont: Generic family 'sans-serif' not found because none of the following families were found: Arial\n",
            "WARNING:matplotlib.font_manager:findfont: Generic family 'sans-serif' not found because none of the following families were found: Arial\n",
            "WARNING:matplotlib.font_manager:findfont: Generic family 'sans-serif' not found because none of the following families were found: Arial\n",
            "WARNING:matplotlib.font_manager:findfont: Generic family 'sans-serif' not found because none of the following families were found: Arial\n",
            "WARNING:matplotlib.font_manager:findfont: Generic family 'sans-serif' not found because none of the following families were found: Arial\n",
            "WARNING:matplotlib.font_manager:findfont: Generic family 'sans-serif' not found because none of the following families were found: Arial\n",
            "WARNING:matplotlib.font_manager:findfont: Generic family 'sans-serif' not found because none of the following families were found: Arial\n",
            "WARNING:matplotlib.font_manager:findfont: Generic family 'sans-serif' not found because none of the following families were found: Arial\n",
            "WARNING:matplotlib.font_manager:findfont: Generic family 'sans-serif' not found because none of the following families were found: Arial\n",
            "WARNING:matplotlib.font_manager:findfont: Generic family 'sans-serif' not found because none of the following families were found: Arial\n",
            "WARNING:matplotlib.font_manager:findfont: Generic family 'sans-serif' not found because none of the following families were found: Arial\n",
            "WARNING:matplotlib.font_manager:findfont: Generic family 'sans-serif' not found because none of the following families were found: Arial\n",
            "WARNING:matplotlib.font_manager:findfont: Generic family 'sans-serif' not found because none of the following families were found: Arial\n",
            "WARNING:matplotlib.font_manager:findfont: Generic family 'sans-serif' not found because none of the following families were found: Arial\n",
            "WARNING:matplotlib.font_manager:findfont: Generic family 'sans-serif' not found because none of the following families were found: Arial\n",
            "WARNING:matplotlib.font_manager:findfont: Generic family 'sans-serif' not found because none of the following families were found: Arial\n",
            "WARNING:matplotlib.font_manager:findfont: Generic family 'sans-serif' not found because none of the following families were found: Arial\n",
            "WARNING:matplotlib.font_manager:findfont: Generic family 'sans-serif' not found because none of the following families were found: Arial\n",
            "WARNING:matplotlib.font_manager:findfont: Generic family 'sans-serif' not found because none of the following families were found: Arial\n",
            "WARNING:matplotlib.font_manager:findfont: Generic family 'sans-serif' not found because none of the following families were found: Arial\n",
            "WARNING:matplotlib.font_manager:findfont: Generic family 'sans-serif' not found because none of the following families were found: Arial\n",
            "WARNING:matplotlib.font_manager:findfont: Generic family 'sans-serif' not found because none of the following families were found: Arial\n",
            "WARNING:matplotlib.font_manager:findfont: Generic family 'sans-serif' not found because none of the following families were found: Arial\n",
            "WARNING:matplotlib.font_manager:findfont: Generic family 'sans-serif' not found because none of the following families were found: Arial\n",
            "WARNING:matplotlib.font_manager:findfont: Generic family 'sans-serif' not found because none of the following families were found: Arial\n",
            "WARNING:matplotlib.font_manager:findfont: Generic family 'sans-serif' not found because none of the following families were found: Arial\n",
            "WARNING:matplotlib.font_manager:findfont: Generic family 'sans-serif' not found because none of the following families were found: Arial\n",
            "WARNING:matplotlib.font_manager:findfont: Generic family 'sans-serif' not found because none of the following families were found: Arial\n",
            "WARNING:matplotlib.font_manager:findfont: Generic family 'sans-serif' not found because none of the following families were found: Arial\n",
            "WARNING:matplotlib.font_manager:findfont: Generic family 'sans-serif' not found because none of the following families were found: Arial\n",
            "WARNING:matplotlib.font_manager:findfont: Generic family 'sans-serif' not found because none of the following families were found: Arial\n",
            "WARNING:matplotlib.font_manager:findfont: Generic family 'sans-serif' not found because none of the following families were found: Arial\n",
            "WARNING:matplotlib.font_manager:findfont: Generic family 'sans-serif' not found because none of the following families were found: Arial\n",
            "WARNING:matplotlib.font_manager:findfont: Generic family 'sans-serif' not found because none of the following families were found: Arial\n",
            "WARNING:matplotlib.font_manager:findfont: Generic family 'sans-serif' not found because none of the following families were found: Arial\n",
            "WARNING:matplotlib.font_manager:findfont: Generic family 'sans-serif' not found because none of the following families were found: Arial\n",
            "WARNING:matplotlib.font_manager:findfont: Generic family 'sans-serif' not found because none of the following families were found: Arial\n",
            "WARNING:matplotlib.font_manager:findfont: Generic family 'sans-serif' not found because none of the following families were found: Arial\n",
            "WARNING:matplotlib.font_manager:findfont: Generic family 'sans-serif' not found because none of the following families were found: Arial\n",
            "WARNING:matplotlib.font_manager:findfont: Generic family 'sans-serif' not found because none of the following families were found: Arial\n",
            "WARNING:matplotlib.font_manager:findfont: Generic family 'sans-serif' not found because none of the following families were found: Arial\n",
            "WARNING:matplotlib.font_manager:findfont: Generic family 'sans-serif' not found because none of the following families were found: Arial\n",
            "WARNING:matplotlib.font_manager:findfont: Generic family 'sans-serif' not found because none of the following families were found: Arial\n",
            "WARNING:matplotlib.font_manager:findfont: Generic family 'sans-serif' not found because none of the following families were found: Arial\n",
            "WARNING:matplotlib.font_manager:findfont: Generic family 'sans-serif' not found because none of the following families were found: Arial\n",
            "WARNING:matplotlib.font_manager:findfont: Generic family 'sans-serif' not found because none of the following families were found: Arial\n",
            "WARNING:matplotlib.font_manager:findfont: Generic family 'sans-serif' not found because none of the following families were found: Arial\n",
            "WARNING:matplotlib.font_manager:findfont: Generic family 'sans-serif' not found because none of the following families were found: Arial\n",
            "WARNING:matplotlib.font_manager:findfont: Generic family 'sans-serif' not found because none of the following families were found: Arial\n",
            "WARNING:matplotlib.font_manager:findfont: Generic family 'sans-serif' not found because none of the following families were found: Arial\n",
            "WARNING:matplotlib.font_manager:findfont: Generic family 'sans-serif' not found because none of the following families were found: Arial\n",
            "WARNING:matplotlib.font_manager:findfont: Generic family 'sans-serif' not found because none of the following families were found: Arial\n",
            "WARNING:matplotlib.font_manager:findfont: Generic family 'sans-serif' not found because none of the following families were found: Arial\n",
            "WARNING:matplotlib.font_manager:findfont: Generic family 'sans-serif' not found because none of the following families were found: Arial\n",
            "WARNING:matplotlib.font_manager:findfont: Generic family 'sans-serif' not found because none of the following families were found: Arial\n",
            "WARNING:matplotlib.font_manager:findfont: Generic family 'sans-serif' not found because none of the following families were found: Arial\n",
            "WARNING:matplotlib.font_manager:findfont: Generic family 'sans-serif' not found because none of the following families were found: Arial\n",
            "WARNING:matplotlib.font_manager:findfont: Generic family 'sans-serif' not found because none of the following families were found: Arial\n",
            "WARNING:matplotlib.font_manager:findfont: Generic family 'sans-serif' not found because none of the following families were found: Arial\n",
            "WARNING:matplotlib.font_manager:findfont: Generic family 'sans-serif' not found because none of the following families were found: Arial\n",
            "WARNING:matplotlib.font_manager:findfont: Generic family 'sans-serif' not found because none of the following families were found: Arial\n",
            "WARNING:matplotlib.font_manager:findfont: Generic family 'sans-serif' not found because none of the following families were found: Arial\n",
            "WARNING:matplotlib.font_manager:findfont: Generic family 'sans-serif' not found because none of the following families were found: Arial\n",
            "WARNING:matplotlib.font_manager:findfont: Generic family 'sans-serif' not found because none of the following families were found: Arial\n",
            "WARNING:matplotlib.font_manager:findfont: Generic family 'sans-serif' not found because none of the following families were found: Arial\n",
            "WARNING:matplotlib.font_manager:findfont: Generic family 'sans-serif' not found because none of the following families were found: Arial\n",
            "WARNING:matplotlib.font_manager:findfont: Generic family 'sans-serif' not found because none of the following families were found: Arial\n",
            "WARNING:matplotlib.font_manager:findfont: Generic family 'sans-serif' not found because none of the following families were found: Arial\n",
            "WARNING:matplotlib.font_manager:findfont: Generic family 'sans-serif' not found because none of the following families were found: Arial\n"
          ]
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 1600x800 with 1 Axes>"
            ],
            "image/png": 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bm3jNACQPlaoAAAAAAL27O6h/1AcOCAsXzXDo/JoizZkcf01OkcvSBTUu/f4JvyTpby/6tWiGQ05HYlWDzZ22fvKgTy0eozPf59JFxw2RqiUgaBtt6OunOtYtnXKoU/96MyCJvqrZwBjTH6pOHGvJsg68nmZVDty2fZ+tw2dRXQwgOQhVAQAAACALVFdXZ+R5dzTZ+ke9X+/sjAwJ50y2dEFNkRbOSE4IdWy1U0+8FdDWfUa7W42e3xDUSYfE/yNpW5fR7atCgaok/Xt9QB851qUiZ/K2d2/dZ6s3lANr0QynKsZZGl8qdfSEtv/bxsgxRJCH9OjxSd5Qxn1AP9UwhlUBSBVCVQAAAADIAuecc05an29vu60HXgro5c2RW/GnTbR0/rFFOmKOY8jKv3hZlqWPHV+kHz/gkyQ98LJfx1Y7VRLHsKfOHqPbH/JGtCfo8UkbdtlanMRKxPWDguZDDgqdj3lTHXptayhsfa/VqKqcUDVTIvqpDtMrtXKcpTFuqdsb2v5vjEnqdV3Ituyxtafd1pL5TjkSrDoHchGhKgAAAAAUkLYuo4de8eu5DUENbkNaXmbpQ8e4dFwKA5LqaU4dNdehV7fY6uyRHnk9oPNrYtuy3+01+vnDXu1pG+il6e2rJn11SzCpoeq6XQOh6qIZoYrHuX2hqhTqq1pVzqiSTBlpSFWYZVmaVenQ+l22Onqkti5pUlm6Vpi/2ruNfvKgVwFbeq/N6MIlyW29AeQCvvoDAAAAQBZYvXq1Vq9endLn2NFs6+Z7evXs+oFAtaxEuvj9Rfr2J9x6/wJXyivOLlxSJGffT6L/ejOgFk/0W7J7fUbLVnu1szncR1O6/gK33H15zuvbkjewqttrtHVvaG1TJ1oqLwstet7UgR+jN+9lO3kmtUYRqkr7tQBgWFVSbNtnK9B3Kp94KxARcAOFglAVAAAAALJAQ0ODGhoaUvoca98N9vegLCmSPnyMS9/5jxKdvji5vUhHMnm8Q6ccGqom9Qelf9YHonqcL2D0y0d82rI3FN6MK5X+33luTZ/k6B8+1O2VNjQmJzTb2Gj3B8+HzBj40XlWhaM/FN5/qBfSK5pKVUmaVUlf1WTb0zZwHv1Bac1r/gyuBsgMQlUAAAAAKBANewb6p37jYrfOO7oorp6miTr3qCKNcYf+vHZTUNtHCboCQaNfP+bTxt2h+41xS/95rltTJ4Z+pD1q7sCW/1e3BIc8RqzW7Ro4ziEHDRy/yGX1T5Tf227k6aVCL1PaugfO/XCDqiRp9uSBj412rSE6e9ojr/tn1wfV3Mm5RWEhVAUAAACAAuALGG3fFwpCBm9nz4SxJZbOO2qgB+N9L/plzNDhZNA2+v0TPr29IxTYuIukL53j1kEVA+s/bKZDxX0TQ17fmpwWAOv7+qk6HdLB0yPP1dwpA3/fQrVqxkRbqTpprKVxpaE/h4dVITHhnsZhQVt66JXoqs6BfEGoCgAAAAAFYOvege3s86dm/kfBDxzq1OTxoSDs3d223tx+YDhpG6M/Pe3Xq1tCHytySlefXaw5UyLXX+yytHhmqJrU0ytt2p1Y0NnUYWtfR+hkzZvqUElRZGA3b+pA5Sp9VTMn3FPV5Qj1Bh5OeFiVJHV5peZOQtVE7WkPXfdj3VJpcei2F98NRrQFAPJd5r+TAgAAAABSrmFQReW8aZn/UdDltCImhv/tRX9EhakxRn/5t18vvhvahu90SJ8/q1gHT3cecCxJOmruwOf0SoItANbtGjhXg/uphg0eVkWlaua094WqE8ZasqyR21gMHla1vYlQNRHdXiNPb+jPVeUOnXl4qEzcNlSrorBk/jspAAAAAEA1NTWqqalJ2fEb3hsI/6qzoFJVko6c49D8voB3b7vRM+tCYagxRvevDfT/3WFJnzm9WIfOHDpQlaTDZjlV1Pfh17YGZSfQAmDdzqH7qYZNHGupvCwU4m3dZyel3QBi4wsYdXlDfx6pn2rY4GFVW+mrmpDBW/+nTrB02mKXxvb1SH6pIajGFs4vCkN2fCcFAAAAgAK3ZMkSLVmyJCXHtm2jLX3b1MeXqn/bfaZZlqWLjh+oVl31sl/dXqOHXw3osTdCFW+WpMtOLdKRc4cPVCWppMjSoTNDP+J29kib4qwgDdpGGxoHtjbPrBj6XIX7qvoCUmMLoWq6RdtPNSyiUpVQNSHhrf+SNHWiQyXFlj54ZKha1Uh68GV/hlYGpJcr0wsAAAAoNB6PRytWrFBjY6OqqqpUW1ursrKyTC8LyAjeD+nR2GrU4wv9ed5Ux6hbpdNpzmSHaqqdqm8Iqssr3b7Kqx3NA4HZ0pOLtGR+dD+6Hj3Xqde3hgKfVzcHtWCYVgEj2bbP7j9XC2c45XAME6pOdejlzaGK1s17bM2spGYpnWINVSeMsTRxrNTWFRpWZRsjRxa9D3LJnvbISlVJOuVQl/71RkAdPdJrW21t32dr1mTeE8hvhKoAAABp5PF4dMkll6i+vl7GGFmWpVWrVmn58uUESSg4vB8irVy5UpK0dOnSpB97cD/V6mmxB42pdn6NS69uDSoQVESgevHxRTppUfQ/ti6e5ZTL6VcgGGoB8PETYg/O1o/STzVscF/VzXttnXJYTE+DBLXGGKpKoRYAbV22ev3SvnajqRPTE6oGbSOvP1TVPH6Mcj7MHTyMKnwOi12WzjmqSPc8F6pSfeBlv645x52R9cVrd6utlxqCWjzTqblZ0iIF2Y1QFQAAII1WrFih+vp6VVRUyO12y+v1qr6+XitWrNBVV12V6eUBacX7IVJLS0vKjr15cD/VLBhStb+KcQ6dvtilR14fGHLzkWNcOv3w2H5kLS22dOhBDr2xzVZ7d2iIVKwh8rqdg0LVg4Y/VweVWypySv5gqFIV6TW4UjWanqqSNLsydG1I0rYmW1Mnxvde8AWMXt0S1N4Wl4zDr16/Ua9P6un7f++g//f4QmFq2MwKS9ed71aRK3eD1XClqsshVZQNfB4nLnLqsTcCavEYvb3DVsOeoKqnZt8vcfbX6zN66NWAHn8zINtIT74d0PeXlqikOHdfI6QHoSoAAEAaNTY2yhgjtztUveF2u2WMUWNjY4ZXBqQf74f0CVeqFruG7xGaaWcf6dJrW4La22F09pEunXNUfD+uHjXX2R+cvbolGFOo2uMb6D07dYKl8rLhQzeX09LsyQ5tes9Wc6dRe7fRhDHZeW7zUcT2/yjP+/59VZfMj++5//CkT69usSUVSYpt2v2OZqNXtgR13MG5GcfYttG+jtC5nzzeimiPUeS0dO5RLi1/pq9atT6gr3w4e0NVY4xe2RzUfS/61dY1cHuPLzRw66RDcvM1Qvpk368oAQAA8lhVVZUsy5LXGxpZ7PV6ZVmWqqqqMrwyIP14P6RHi8dWiycUgsyZ7JBzmB6hmVZabOmmi9z67ifduqCmKO6+r4fPcsrZ95PuK1tCvTOjtbHRlt1395GqVMPCw6qkUFUs0ifWnqqSInp8btsX33CxN7YF+wLV4VmSSotDFbTTJ1maO8Whg6cPPPfT78QWxGaTFo9RINRKWFOGaJ9w/AJn/yC8jbttbdgVTOfyovZem62fP+zTbx8fCFRdg97yz67P3dcI6UPsDgAAkEa1tbVatWpVRA/Jmpoa1dbWZnppQNrxfkiPzXuye+v/YO4iS+6ixELfMW5Li2Y49PYOW21dRtv2Gc2dEt0x1w0KgA6ZMXqF3f59VY+cm71Vefkm3FPVskJ9SqNRVmKposxSs8doR7Mt2zbDDiIbSq/f6C//Hphsf9ZivxbNHKuSYkslRaFfDJQUS26XDvilgDFGt/zNq10tRlv2Gm1vsjUrB4ebRQ6pOnD9ToelDx3j0t1PhM7TP18K6Lqq7BmO5/UbPfxqQP96M6DgoGz8sJkOfeKEIv32Xz5tbzJ9/+Xma4T0IVQFAABIo7KyMi1fvpxp54B4P6RLw+B+qgUyfOXouU69vSP0eb+yORhRUTqScD9Vp0M6uGr0xwwOValUTa9wpeqEMYqp+nrW5FCo6gtI77UZVZVH/9iHXgn0h7mLZjh0+iEBTZgYXZBuWZY+cKhLK58NhY3PvBPQJR8ojvq5s8WetkGh6jCDvo6d59SaVwPa3RZqp/H2DluLZ2X2Fw7GGL221da9z/sjhpyVl1n6xAlFOnxWKPg9aZFLK/peo3+vD2jWSbn3GiF9CFUBAADSrKysrCCH8ABD4f0w4Oyzz07JccP9VC1LBTPR+n2znXJYftkm1Ff1ouNco1bKNXXY/b0i505xqCSKitlxpZYmj7e0r8NoW5OtQNDI5cyOirx8FrSNOntCf462n2rY7EpH//b9bU22qsqje0/sbLb1+JuhLeEup/TJE4sU6ytdM9+p+1/0q9cvrd0U1EePMxrjzq3rZU/7wC8Ppk4Yeu0Oh6UPH1ukXz/mkyQ98JJfh83MXLXq3nZb9zzn1zuDhtC5HNJZR7h09pEuFQ8aGnZstVP3veCXNyDVbwrqouNMwtXzyF+F8R0VAAAAQEHzeDy66667VFdXp7vuuksejyfTSzrA/PnzNX9+nJNzhtHjM9rVEgoKZ0yyVFog06zHllha2Fdp2uIJbeUdzfpdA4FLNP1Uw8JVsIGgtLM5vj6diE17t1H4TEfbTzVs/2FV0bCN0cpnff39ds890qUpQ2x9H01JkaXjDg5VbPqD0gvvZme/0ZFEVKqOcA6OmOPoH4q3ozlUJZpuvoDRP+v9+t693ohA9dCDHPrGxW595NiiiEBVkkqKLR1bHXqNev3Sy5tz7zVC+lCpCgAAACCveTweXXLJJRG9W1etWqXly5fnfauBLXtshec0ZXs/1WQ7ap5T6/qC0le3BCPCtKFE9FM9KPqtynOnOrR2U+ixm/fYmhNlqwHErzWOIVVhMwf1yNzWFF3Q9+y6oLbsDT3n1ImWzjwi/ijl5ENceuqd0PXyzDsBnXaYM2v6jUYjXKlaVhL65cVwHFaoWvUXa0LVqg++5NcRsx0x9bBNxOY9Qf3ucX//kD4pNDjs4vcX6cg5I1fNnniIS//eEHqNnl0f0AkLic4wNL7aAwAAAMhrK1asUH19vSoqKjRjxgxVVFSovr5eK1asyPTSIixbtkzLli1L6jEbBvX5nFcgW//DjpzjVDi/eXVLUMYMX0Vq26a/UnWMW5pVEX3ws/+wKqRemyf+UHWM29KUvun0O5uNgvbI1cXt3Ub/qB8YTrX0pCIVJdDioarcoYOnh66ZPe1GGxtz55rp9Rm1d4f+PFKVatjimY7+Su7dbUYvpanq0xcwuutRX3+g6nRIZx/p0rc+7tZRc0cPsWdXWjqor9fu1r1GO5tz5zVCehXWd1UAAAAABaexsVHGGLndbkmS2+2WMUaNjY0ZXlnqRQypKrBK1bISqz+82tdhtLNl+PBsW5NRT6igTouqnDFV01VNsuTuK2TbzLCqtGjrHvjzpBhDVUmaNXmgZUPjCNeFJN33gr//2jh+gVMLpic+cOkDhwwc4+l1gYSPly572wfO1ZRh+qkOZlmWzj92oMpz1cuBUUPsZHjmnYA6+nruzp5s6Rsfc+uCmqKoe6NalqUTDxlY97/X585rhPQqrO+qAAAAQI7Lhd6g2aaqqkqWZcnr9UqSvF6vLMtSVVVVhleWWkHbaGtfz8jyMkvlZYX3499RcwfCq1dHqJJbt3Pw1v/YzpPTYfVv+W/rMmrxEKymWlsC2/+lyL6qI7UAeGdnUC81hK6NsW7pouOKYn6uoRwxx6nxpaE/v77Vjvh8slnEkKqJ0Z33hTOcWjDolxsvbExttarXb7Tm9VAIakm69APFmjox9q99S+Y7VdT35WPtpqB8gdx4jZBehfddFQAAAMhR4d6gdXV1+tWvfqW6ujpdcsklBKujqK2tVU1NjZqbm7Vr1y41NzerpqZGtbW1mV5aSu1oNvL1FVgV2tb/sCPnOPsntL8yQguAdYOG2CyaEfu5mjuoj+oWqlVTbnBP1XgqVWdXDjxmuGFVvoDRX/49sO3/ouOKVDZCD9FYuJyWTlwUqoS0TahvZy7Y0x7dkKr9fWRQterDrwbkD6YuoHz6nYA8vaE/HzXPqary+L72lRZbOqZvYFWPT3qFgVUYQmF+ZwUAAAByUK70Bs02ZWVlWr58uerq6vT5z39edXV1BTGkqpC3/oeNH2Npfl+V3N52o8bWA8OcHp/Rlr5eqFMmWKoYF/u5Ghxab6Gvasq1DwpVJ4yJPeg8qNLRH7YPV6m65rWA9nWEnmf+NIeOX5D4tv/BTlrk6u/5++/16dkWn6g9bYNC1SgrVSWpeppTh80MvUdaPEbPrU9NQNnrN3r0jYEq1Q8dndiAqZMWDbzm/07RmpHbGGEGAAAA5IhC7g2aqLKyMl111VWZXkZabd4zEAJUF2ilqhRqAfDu7lBw9uqWoGbsV7n27m5b4TzrkDiqVKXISlX6qqZeuFK1rEQqcsUeqpYUWZo20dLuNqNdzUb+gIk4zu5WW4/0bSF3OkLDqUYbbhSrSWWWDp/l0OvbbLV3S29ssyPaVWSj8PZ/hyVVjovtfHzkmCK9vSPUguXhV/16/0KniuN47Uby9NsDVarHVDs1fVJiX/fmTnGoapKlxlajhj22drfaCR8T+YWrAQAAAMgRhdobtFAsXbpUS5cuTcqxjDH9laolRaFhSoXqyDkj91WN7KcaX6g1tsTqr9wLtV3I/qrDXGUb09+DNJ5+qmHhvqq2kXYNGlZljNGf/+1XsC8bP/N9rpQFaR84dKDO7el3srsFgG1M/6CqynGWXM7Yzv2syQ4dMSd0Hjt6pCfeSu7n2+sbVKVqSeclWKUaOs5AmwaJgVU4EKEqAAAAkCMKtTdooSgvL1d5eXlSjtXUafqnX8+b6ohpmn2+mTjW6q/U3d1mtLs1spI03E/VYal/oE485vVVqwZtafsIw4+QGE+P+iuLJ8ax9T9s1jDDql58N9hf2Vw5ztK5R6Vug+/CGQ5NGR/6HDY02gdcm9mkrWugR/OUGLb+D/aRY4r62y489EpAe9qS9/k++XZAXaHfN+rYaqemxTGcaiiDB1a9+G5Qfn5hgkEIVQEAAIAcUai9QQtFS0uLWlpaknKsiH6qBbz1P2zwtupXtwxUpjZ32trb1zdz3lSHSorjD+ki+qrSAiBl2gb1U02oUrVy4PUKD6vy9Br97cWB4VSfPLEo6VvUB3NYlk4eVK36zLrsrYTcG+eQqsGqyh065bDQe9EflP7wlC8pvWR7fEaPvTmoSjWJQfjYEqv/60eXV3ptK71VMYDvrgAAAEAOCfcGraur01VXXUWgmkdWrlyplStXJuVYDKmKdOTcgXMwOFRdt2vgPMXbTzWMvqrp0TooVJ2UQKg6o8LqHxQVrlS9/0X/QE/OeU4dOjP1PU7fv2CgEvKFjUF5/dlZCRnvkKr9XbikqL86d+teo8feSDxIfuKtgLr7qlSXzHdqapKqVMMGD6x6loFVGITvrgAAAACQZxr2DGxpnzOFH/vKyxyaOyUU5OxqMf3bjpPRTzVs2iRLpcWhP2/Za8uY7AzHcl1EpWpZ/OFesctSVXno8btbjd7eEdTzG0PXQ0mRdPH7ixJbaJTGuC0dWx269nr9Un1DdoZ24SFVkjR1QmLn/bJTixSe+/XgywHtaon/lxDdXqN/9VWpOiylpF1D9TRHf5D87m47qW0LkNv47goAAAAAecTTa/ReX1XZrEorpduXc0lEC4CtQdm20YbGUDgyxh06V4lwWFZ/tWpHj9TcSaiaCm3dg0LVBHqqSgMtAIyRfve4r//2C5YUaUKCx47F/gOrsjGQj6hUjXP7f9i8qU6d9b7Q5xy0pT8+GX8bgCfeCqin76U77mCnpiS4tqFYlqWTBg+s2pCdwTfSj1AVAAAAAPLI4K3n1dNSv305V0SEqpuD2t5k+rcML6xKzjCviBYAe6lmS4VWT3J6qkqRw6rCwdycyZZOXpTe983syQ7Nnhz6XHY2G23dm4Whal9P1dJiaVxp4sf70DEuTZ8U+px3NBs9/GrsbQDSUaUadtzBTrn6LpcXNgbkD2bfa4T0I1QFAAAAgDzCkKqhVYxz9Fej7mg2enrQUKBEt/6HMawq9dqS1FNVihxWJYWGHC09qTgpAXusBlerPvVOdg2s8gVMf5g9dYIly0r8/BQ5LV1+SnF/X9vVrwb6B4ZF619vBtTbN1fs+AVOVY5P3de7shJLR/b9YsbTK73OwCqIUBVZwuPx6K677lJdXZ3uuusueTyeTC8JAAAAyEkNg8K8eYSqEY4eVK36wsZB/VQTHFIVNmeKQ+G4iWFVqRHe/l9SJJUUJxbuVZVb/dWHknTaYU7NrMzMe+aYeU6NcYf+/MrmoDy92VMJubfdKLyaZG6vnzXZoXP6qkttI/3hKV/UFaBdvUZPvJWeKtWwwQOr/s3AKkhK/VUHjMLj8eiSSy5RfX29jDGyLEurVq3S8uXLmWYLAACAgnHNNdckfAx/wPRXe00Zb2l8GvtC5oIj5zr19/rIKsAp4y1VjEtOUFRabGl6uaXGFqNdLUa9fqOSIl6DZDHG9FeqJrr1X5JcTkuLDnLore22ysssffiY9AynGkqxy9L7F7j0rzcDCtjScxsC+uARmVvPYHvbB/VTnZjc6/nco1x6c1tQO5qNdrcarXo5oAuXjP55D65SPWGhM2nv4ZEcPN2hKeMt7e0I9WPe226npIcrcgevPjJuxYoVqq+vV0VFhWbMmKGKigrV19drxYoVmV4aAAAAkFO2NdkK9BVIzpvGj3v7mzLBoYMqIkOhQw5K7nma19dX1TbSthi3M2NkPT7J15eJJyNUlaRLP1CsT32gSDdc6E648jVRJx8yUAn5zLqg7CwZWDV42n2iQ6r253RYuuzUYjn7DvvoGwFt3jNyFain1+iJtwN9j1d/tWuqWZalEwdVqz7HwKqCx3dZZFxjY6OMMXK7Q3sd3G63jDFqbGzM8MoAAACA9Nm0aZM2bdqU0DE20091VIMHVknJ66caRl/V1GntSt6QqrBxpZZOWOjSuNLMVxRPmeDob0XR3Gm0bmd2XD97UlipKkkzyh368DGhYNQY6Y9P+uULDB8oP/ZGQN5BVarlZen7Wnf8Ald/APz8xoACDKwqaHyXxYjS0eu0qqpKlmXJ6w2N3vR6vbIsS1VVVUl/LgAAACBbrVmzRmvWrEnoGJsGhXjzqVQd0uC+qg4rtKU3meZOGTgefVWTK5lDqrJVNg6s2tMeuo4tSZPHp+a8n/k+l+ZMCR17b4fR39f6h7xfZ4/RU31Vqi6HdPaR6e1qOa7U0hGznX1rkd7cznu8kNFTFcNKV6/T2tparVq1KuJ5ampqVFtbm7TnAAAAAPKdbUx/iFdWIk2ZkJ+hU6KmTnTo4OkOvbvb1uGzHSpN8pbvKRMsjXVLXV5py167/2ccJK4tBZWq2WbxLIcmjbXU2mX09nZbzZ12WvqFDscYoz1tofM+qcxSsSs1593psHT5KcW65W9e+YPSk28HdeScoBZURVaSP/pGQN6+rPnERemtUg076RCnXtkS2vr/7/UBnb6YaK1Q8atLDCtdvU7Lysq0fPly1dXV6fOf/7zq6uoYUgUAAADEaE+bUXdo85fmTXUQ5I3gCx8s1pfOLdYVpxYn/diWZWluXwuALm/kkB8kJhXb/7ON02HppL7eqkah3qqZ1NGj/oFQU1P8i5qpEx26oGZgSNX/PeVXr2/gNe/sMXq6r3rX5ZTOPjIzg7wWVDlUOS50LtbtDA2sQmEiVMWw0tnrtKysTFdddZXq6up01VVXEagCAAAAMWoY3E+Vrf8jKi22dOhBTrmLUhMSzRvcAmAvgUuytBdAqCpJJywc6Nv53IaA/Bns27lnUGCYin6q+zt1sbO/dUmzx+hvLw60AXjk9UD/oLKTFjkzdg04LEsnLBoIvsNDs1B4+E6LYdHrFAAAAMgdDXsYUpUtBg+roq9q8rQWQE9VSZowxuofqObplV7dkrlq1b1tg4ZUTUj91xWHZemyU4rk7ttR/+z6oN7ZEVR790CValEGq1TD3r/AJUffJfjk20EGVhUovtNiWLW1taqpqVFzc7N27dql5uZmep0CAJAh6RgeCSCzysvLVV5eHvfjw5WqRU5pZiU/6mXS7MmO/sBlC6Fq0oR7qrqc0lh3hheTYicfMtBL9Jl3Mheq7hnUviIdlaqSVDneoY8eNxCa/ukZn/5Z75e/7zScfIhTE8ZkNlSfMMbS+2aHvs62dZmsGSqG9KKbLoYV7nW6YsUKNTY2qqqqSrW1tWzNBwAgzdI1PBJAJI/Hk9Z/Cy9dujTux7Z3GzV1hsKP2ZMdKnLmbxVfLnAXWZpRYWlHk9HuVqMen0n6QKxC1NYdusYnjrHyvmfw/GkOTZ9kaXerUcMeW7tbbU2flP5fluxpG/ilQDqH3518iFOvbQ1q/S5bbV3S8xtDiWqRUzrriMxWqYaduMil17b6JEn3POfXGYdnx7qQPoSqGFG41ykAAMicwcMj3W63vF5v//BIvk8DqZFrv8ygn2r2mTfFoR1NQRlJW/baOvQg56iPwfC8/oFBbPncTzXMsiwdf7BT968NVUA27MlQqNpXqVrsSu95tyxLn/pAkb53r7d/UJYkfeBQV8arVMMOmeFQeZmlFo/RM+sCamyxVVXO199CktCr/de//lWnnnqqJk2apLFjx+qII47Q//zP/8jv94/+4P10dXXp1ltv1bHHHqvx48erqKhI06ZN04c//GH985//TGSZAAAgBdiOnj7pHB4JIGTwLzNmzJihioqK/l9mpMratWu1du3auB7bsGdgezD9VLPD4L6qtABIXFuB9FMdbM6ggWfb96X/GgoEjZr7KuCnTLDkSHN1cHmZQx8/YaD6s9glffCI7KkNdDgsnbgw9MuSkmJp/a7MtWlAZsR9NX7lK1/R7bffLpfLpdNPP11lZWV6/PHHdcMNN+iBBx7QI488otLS0qiO1dzcrA984AN65513VFZWphNOOEETJ07Upk2btGrVKq1atUpf/vKXdfvtt8e7XAAAkES5VsGV6wYPjwxXqjI8EkitTPwyo76+XpK0ZMmSmB87uFJ1HqFqVpg7KBDb0GirZr4tp0NyOqy+/0uOvv87HUp7YJVrBoeqhVCpKkkzKxyyFJowv70p/aHqvg4ju++0p2NI1VCOP9ipbftsvbAxqI8dX6Rxpdn12r9/oUvTJjn0hQ+6NdadXWtD6sUVqv7973/X7bffrrKyMj311FM6+uijJUlNTU06/fTT9eyzz+qb3/ymfvSjH0V1vO985zt65513dMwxx+iRRx6JaM7+0EMP6YILLtDPfvYzLV26VMcff3w8SwYAAEnEdvT0qq2t1apVqyJCbIZHAqmVS7/M8Pqlnc2h5KNqkqUx/GCfFSrGWRpfKnX0SJves1V3j3fE+1vWQMDqckjvm+3Upz5QlPe9Q6MV7qcqFU6oWlJsacpES3vajHa1GPmDJq39kjMxpGp/lmXpkycW65MnZuTpRzVxrKXTF7sIVAtUXL9quOWWWyRJN954Y3+gKkmVlZW68847JUl33HGH2tvbozre448/Lkm64YYbDph2ed555+m0006TJD3//PPxLBcAACQZ29HTKzw8sq6uTp///OdVV1dHVTCQYrW1taqpqVFzc7N27dql5ubmrP1lxo4WR381GVWq2cOyLC2aEX0fVWOkQDAUknd5Q4N53t1N24Cw1gKsVJWk2ZWh93TQlna3mFHunVx7Bw2pmprGIVVAroi5UnXXrl3921KG+gfFSSedpJkzZ2rHjh166KGHoppgWVJSEtVzV1ZWxrZYAACQErlUwZUvGB4JDPB4PFqxYoUaGxtVVVWl2trapP+SIfzLjFQ/TzJsbRoIUhlSlV0uOq5Ik8osdXQbBW31/Tf4zwfe1uuTmj2h8OzN7bYWVGXXgKuGPUF1dEtHzHGktWVBIfZUlaRZlQ6t3RTq1bmtydasyel7j0dUqmZo+z+QzWIOVV999VVJUnl5uebOnTvkfY499ljt2LFDr776alSh6rnnnquXXnpJP/jBD3TGGWccsP3/iSee0LRp03T++efHulwAAJACbEcHkCnp7OmcK7/M2DYoVJ1PqJpVxo+xdEFN0eh3HKSr1+j6P/XKGOnN7aE+ktliR7Otnzzgk22kS08p0vsXpG9oUCH2VJWkWZMHPtd091UdHKpOoVIVOEDMXwG3bNkiSZo1a9aw95k5c2bEfUdzww03aO3atVqzZo1mz56tE088sX9Q1csvv6wTTzxRv/3tbzVhwoRhj+H1euX1Rvaocbvd/dsSAQBA8uRSBReA/JLPPZ2rq6tjfkwgaLStORSkThgjlZcRfOS6sSWWqqc6tOk9W3vbjfa02Zo6MTvC8mfeCfS3mnh9azAjoarDksZHNxM7LxyUwWFVe/q2/08YE+rvCiBSzF8BOzs7JUljx44d9j7hH6g6OjqiOubYsWP1wAMP6Gtf+5p+/OMfa82aNf0fq6io0JlnnqkZM2aMeIxbb71VN998c8RtN9xwg66//vqo1pBMra2taX9OALz3kN+y9fq++OKL+//s8/nU0tKSwdUAw8vW9xBi19DQoGAwKKfTqUAgIKfTqWAwqIaGhpz/GrRkyRJJiunzeG2bkS8QqmScXRFQZwfXej44eIpLm94Lva4vbfTo5IWBDK9I8gWk+oYSSaFwbWNjUG2tLXKkKe9t8YSee1yJLU9ndlzn6Xq/TR7v1t4OhxpbbLW0tMiVho4QXV6pyxtKryvKgupoz+2vr6nk8FtqaUnfLxjSYf9/N+0//wghWfGq7969WxdccIHeeOMNfe9739PSpUs1ZcoUvfPOO/rGN76hm2++WX//+9/1zDPPaNy4cUMe46abbtK1114bcVsmK1W54IDM4L2HfMb1DSSG91B+qK6u7g9Sw5WqTqdT1dXVBfkab37VKym0Y2/hQaUaP2Hon5eQW45dYOvhN0Kv67t73frQkvEZXpH04rsBef3+/r/3+i11BCdq1qTUp6qBoFFXb68kadI4p8ZPyJ73ejrWMmeKT3s7ggraljqDEzW7PPXnfN+eoCSfJGlGRbHGT2A30nAmjLVUXp4V8VpSFeL31FjF/E4Mh5pdXV3D3sfj8UiSxo+P7gv/5Zdfrvr6en33u9/V1772Nc2dO1djx45VTU2NHnzwQR1++OF6/fXX9aMf/WjYY7jdbo0fPz7iP7b+A0DyeTwe3XXXXaqrq9Ndd93V/zUfAIB0qK2tVU1NjZqbm7Vr1y41NzfnTU/n1atXa/Xq1TE95vWtwf4/M6Qqf0ybaKlyXKgidNN7trq96Z36PpTnNgQPuO3dxgNvS4X2bqPwGSikIVVhg4dTbduXnhYAe9sYUgWMJuYofc6cOZKkHTt2DHuf8MfC9x3Jrl279Oijj0rSkEOtioqKdPHFF+vNN9/UY489dsAWfwBA+qRzOAgAAEPJ557ODQ0NMd3fGKPX+kJVd5E0o7zwwqZ8ZVmWDp/t0BNvBWUb6Z2dQR1bnblKuH0dtt7dHQrzxril7r5xJht22zrjfal//kIdUhU2u3Lgc96Rpr6qg4dUTZ1YeOcciEbMX5WPOuooSVJzc7O2bNmiuXPnHnCfl156SZJ09NFHj3q87du39/95uMrW8ICqXO+RhOTyeDx5+Y9pIJvl83AQAEDuKCsr4/uOpF0tRvs6QsHH3CkOOR0EH/nk8FlOPfFWKDR/a7utY2OfY5Y0zw+qUj3rfS79682APL3Spt22bNvIkeJrr7XAQ9WDKhyyLMkYaVu6QtW2geeZOqHwzjkQjZhruA866CDV1NRICv1wvb9nn31WO3bskNvt1nnnnTfq8QYPoHrxxReHvM8LL7wgSUMGuChM4Wq5uro6/epXv1JdXZ0uueQStiEDKdbY2ChjTH97FbfbLWOMGhsbM7wyAAAKz6tbBm39n8r23Hwzf5pDJaFZVXp7R1BBOzMtAGzb6IV3Q4OyHJZ0/AKXFkwPTUrq9Us7m1O/rvbBoeqYwgv43EWWpvVViza2GPkDqT/n4UpVl1MqLyu8cw5EI67vvF/72tckSbfddpteeeWV/tubm5t19dVXS5K+9KUv9VeYStL999+vRYsW6Ywzzog41qxZs/pD2v/3//6ftm7dGvHxP/3pT/rLX/4iSXnRJwnJMbhabsaMGaqoqOivlgOQOlVVVbIsS15vaM+X1+uVZVmqqqrK8MoAACg8L28emAhPP9X843JaOuSg0Ova5ZW27E1PheL+1u2y1dY3UuWwmQ5NGGPp4KqB623D7tT3VR1cqVqIPVUlaVZl6JzbRtrVmtpQNWgPVMFPHm+lvBIZyFVxfee98MIL9eUvf1kej0fHH3+8zj33XF188cWaP3++3nzzTZ144on67ne/G/GY9vZ2bdiwYcg+Qb/73e9UWVmpdevW6ZBDDtFpp52mj3/841q8eLEuvfRSGWP0qU99Spdcckl8nyXyDtVyQGbk83AQAAByTUmRpYljLTksozlTCFXz0eGznP1/fmt7ZkLV5zYMhPcnLAx1EFwwfeB6e7cx9etqGzQnuxC3/0sDoaokbU/xsKrmTqNg31Ow9R8YXtydrm+//XadeOKJWrZsmZ577jn5/X5VV1frxhtv1Fe/+lUVFxdHfazFixfrrbfe0k9+8hM9/PDDqq+vl9fr1aRJk3T22Wfr05/+tD7xiU/Eu1TkocHVcuG+jlTLAamXz8NBAADItPAOvmjd+NESXXNOsf76TJNKisakaFXIpMNmOmXJLyPpzW1BXbikKK3P7+k1emNbKF0bVyotnhUK9qZNtDSuVOrskTa9Zytom5T29G3rHqjMnFCooerkgc97e4r7qkYOqeIXNsBwEhof+IlPfCLqsPOKK67QFVdcMezHp06dqttuu0233XZbIktCgaitrdWqVasiJpBTLQekB8NBAABIjSVLlsT8GMuyVD42M702kXrjSi3NmeLQlr22drcZNXXYqhyfvpBr7bvB/orF4w529QenlmXp4OlOvbI5qF6/tKPZaM7kFIaqfdv/y0qkImdhhqozBw2rSnWl6l6GVAFRSShUBTKFajkAAAAAheDw2Y7+fqpvbrd12uL0hKrGGD23cWDr//sXOCM+vmC6Q69sDvVTfbcxqDmTU7Mu2zb9oWqh9lOVpGKXpekTLTW2GjW2GvkCRsWu1JyPiErVCVSqAsMhVEXOoloOAAAA+WTlypWSpKVLl2Z4Jcgmh89y6p/1oXDzze1BnbY4PT/Gb28yamwJhWtzpzg0fVJkuLZg0LCqjbttnXVEatbR2RsaziQVbj/VsFmVDjW2BkPDqlqM5k5JQ6g6sbDPOTASfuUAAAAAAFmgpaVFLS0tmV4GskzVJEvlZaFg693dtnp96Wn3EDmgynnAx6dOsDS+NPTnhr6+qqkQrlKVCFVnDaoGTmVf1T192//LSqQx7sI+58BICFUBAAAAAMhSlmXp8L4BUUFbWrcrtf00JckXMKrfFNraX+ySjpl3YKhqWZYWVIVu7/VLO5pSE6q2Eqr2m1U5aFhVivqq9viMOnpCf2brPzAy3iEAAAAAAGSxxbMGQs03twdT/nyvbgkNoJKko+c5VVI8dJh58PRBLQAaU7OuwZWqhdxTVZIOqnCob1ZYyipV2foPRI9QFQAAAACALLZgukPuvlaqb20Pyk7RVvuw5zcMBKRDbf0fvK6wjbtTE/Kx/X9AscvStEmhc7C7b1hVsoW3/kuhFg8AhsegKgDIEx6PRytWrFBjY6OqqqpUW1ursrKyTC8LOYLrBwCA7FXksrRohkOvb7Pl6ZW27TOaOzU1gde+Drs/IJ0ywVL11OFrsaZMsDRhjNTeLTXsCfVVdTqSuy5C1UizKx1qbOkbVtWc/Otgb0SlKnV4wEgIVQEgD3g8Hl1yySWqr6+XMUaWZWnVqlVavnw5wRhGxfUDANnh7LPPzvQSkMUOn+3U69tCYeeb24OaO0LYmYgXNg6qUl3glGUNH9pZlqWDpzv1UkNQXr+0PQVhb0RP1TGEqrMqHXq+7zXa3mQn/TrY0zYoVKVSFRgRv3YAgDywYsUK1dfXq6KiQjNmzFBFRYXq6+u1YsWKTC8NOYDrBwCyw/z58zV//vxMLwNZ6rCZqe+ratumP7BzWNJxC0avw1pQNbgFQPLX1d4XqpYWa9jeroVk1uSB870tBX1V97SHjumwpMrxnG9gJFSqAkgZthOnT2Njo4wxcrvdkiS32y1jjBobGzO8svTimosP1w8AZB7fwzCaCWMszZ5sads+o10tRi0eW+Vlya2TWrfL7t9uf+hMhyZEURk6uK/qu7ttnX1k8tZjjOmvVKVKNWRGuSWHJdkm+cOqbGP6t/9XjreS3soByDeEqgBSgu3E6VVVVSXLsuT1euV2u+X1emVZlqqqqjK9tLThmosf1w+AZCEYjE/4e9iTTz4pY4zKysr4HoYhHT7LqW37ApKkN7fbOuXQ5IaqkQOqoosLJo8f1Ff1veT2Ve32Sv6+JdFPNaTYZWn6JEu7Wkz/sKpiV3LOTavH9J9vtv4Do2P7P4CUYDtxetXW1qqmpkbNzc3atWuXmpubVVNTo9ra2kwvLW245uLH9QMgGcLBYF1dnX71q1+prq5Ol1xyiTweT6aXlvXC38PGjh2riRMn8j0Mwzp81kALgLeS3ALA02v0+rbQMceVSofPii4usCxLC6pC6/IGpG37klc92cqQqiHNqgy9NsZIO5uTd773MKQKiAmVqgBSgu3EiYm10qesrEzLly8v6OqgdF5z+VaJxfUDIBkG/3IrXPUeDgavuuqqTC8vq4W/hxUVFUni300Y3kEVliaOldq6pA2Ntrx+I3dRcsLGtZuCCvblc0vmu2KqNl0w3aH6TaFAdmOjrXlTnaM8Ijrt3YSqQ5k1efCwKqN5U5NzXIZUAbEhVAWQEmwnjl+829jLysoK+ofWdF1z+dpmoNCvn3jlW8AOJIJfqMYv/D0sEAjI5XLx7yYMy7IsLZ7p1LPrgwoEpfW7bB0xJ/EA0xij5zYE+v9+wsLYjhk5rMrWOUclvCRJkZWqkwhV+82uHDjf25NYGby3feBYhKrA6AhVkXT8gJle2Xq+a2trtWrVqojgie3E0aHSJyTWaztd1xyvD8LyNWAH4sUvVOMX/h4W7qkaCAT4dxOGdfjsUKgqhVoAJCNU3d5k1NgSCjDnTrE0fVJsW78rx1maONZSW5fR5j22AkEjlzPxUK6N7f9DStWwKrb/A7EhVEVS8QNmemXz+WY7cfyo9Inv2k7XNcfrgzACdiASv1CNX/h72Oc+9zm1t7frwgsv5N9NGNbCKoeKnKEBTm/tCMo2Rg4rscAxsko19pjAsiwtmO7Q2k1B+fr6qlZPSzzsJVQdWpHLUlW5pZ3NRrvbTNLaQIS3/5cWS2UlCR8OyHuEqkgqfsBMr2w/32wnjg+VPvFf2+m45nh9EEbADkTiF6qJKSsr07JlyyRJ5eXlGV4Nslmxy9LCGQ69td1We7e0o8lo9uT4AzVfwOilhmDfsaWj58UXhi6oCoWqUqgFAKFqas2qdGhnczA0rKrFVnWCfWy9ftPfbmHqREtWgkE9UAgIVZFU/ICZXpzv/ESlT3Zf27w+CCNgBw7EL1QTQ5iKaL1vllNvbQ9t+35ze1CzJ8e/Vfu1rUH1+EJ/PnquU6XF8YVpC6YPrOHd3bbOTUJf1XDIV+SUxroTP14+mVXp0HMb+oZV7TOqTnBY1d6OwUOq2PoPRINQFUnFD5jpxfnOT1T6ZPe1zeuDMAJ2AMnW0tIiiXAVo1s8yynJLykUqn74mKK4j/V8XzAnxT6garCKcZYmjbXU2mXU8J4tf9CoKMG+quFK1YljqZzc36xBQXoy+qruaWNIFRArQlUkFT9gphfnO38VeqVPtl/bhf76IISAHUCyrVy5UpJ0zTXXZHglyHYTx1qaWWlpR5PRjiajti4T1/b4pg5bGxpDYdqU8Zaqp8VfoWhZlhZUOfTiu0H5g6G+qvMTaAHQ6zf9FbRs/T/QjEmDhlXtSzxU3cuQKiBmhKpIKn7ATC/ON/IV1zZyBQE7ACBTDp/l1I6m0ICpt3YEddKi2H+8f37jQJXq+xc6E64GXTA9FKpK0sbGxELVdvqpjqjIZWlGuaUdzUbvtSc+rGrP4FCVSlUgKoSqSDp+wEwvzjfyFdc2AADA8BbPcuqhV0Kh6pvbYg9Vbdv0h6qWJR13cOLxwIKqyL6qiWgdFKpOIlQd0qxKh3aEh1U1JzYcLLz935I0eTznG4gGNd0AAAAAAOSYWZWWxpeG/rx+ly1fwIz8gEEaW2zducbX37P0sIMcSakGrRjnUHlZ6Dib94T6qsarbVCoOmEMId9QBvdV3dYU/7k2xvRv/y8fZ6nIxfkGokGoCgAAAABAjnFYVt/AKskfVH9v1JF0dButeMan7//Nq3d2Dtz/1MXJ28S6YLqjf01b98ZfrdpGpeqoZlUOGlaVQF/Vjh6pNzT3jK3/QAwIVQEAAAAAyEGHzxrY7v3W9uCw9/MHjNa85lfdPb16dn1ou7gklZdZ+uwZxTr0oPi3je8vWS0ABm//n1hG0DeUqnJLzr7Tvb0p/nM9OPyeOpFzDUSLnqoAAAAAkAWuueaaTC8BOWbRDIdcTikQlN7cbuuTxkQMmzLG6KWGoP5RH1CLZyCkdBdJZx/p0umLXSpO8lbvg6cPhKobG22dd3R8x2nvplJ1NEVOS1XllnY0Ge1pM+r1G5XEOKwqaBv9s97f//fqqckL2IF8R6gKAACymsfj0YoVK9TY2KiqqirV1taqrKws08sCACDj3EWWFlY59PYOW21dRjtbjGZWhEK1hj1B3feCX1v3DoSTliWduNCpDx9TpPEp6lNaMc6hinGWmjuNNu+15Q+YuHp0hitVHZY0riTZq8wfsysd2tEUlJG0s8nW/OmxhaJPvR3U7rbQuZ4zxdKRc9nQDESLUBUAAGQtj8ejSy65RPX19TJ91TerVq3S8uXLCVYB5J1NmzZJkubPn5/hlSCXLJ7l1Ns7Qtu339oWVGmR9Pe1Ab2yJbIdwKEHOXTRcUWqKk99aLZgukPPdwYVCEpb9tlaEGPQJw30VJ0wxpLDQaXqcEJ9VUOv9fYmo/nTo39sR7fRgy8PVKl+4oRiOSzONRAtQlUAAJC1VqxYofr6elVUVMjtdsvr9aq+vl4rVqzQVVddlenlAUBSrVmzRhKhKmKzeKZDf+n78xNvB/TwqwEFBrXXnD7J0kXHFemwmenb1n3wdIee3xgK+t5tjD1UfWdHUJ09oT9PZOv/iGZNHjSsKsa+qv+o9/cPqHr/AqfmTKZKFYgFoSoAAMhajY2NMsbI7XZLktxut4wxamxszPDKAADIDhXjHJpRbmlXi5Gnd+D2shLpI8cW6YSFTjnTXOk5eFjVxt22PhTDY19qCOgPTw5UTy6aQdA3kqpJllwOKWBL22IIVbfstfuD79Ji6cIlRalaIpC3CFUBAMhi4X6iDQ0Nqq6uLrh+olVVVbIsS16vt79S1bIsVVVVZXppAABkjffNdmpXS0CS5HJKpy926ewjXSotzkyVZ3mZQ5XjLDV1Gm2Joa/q0+8E9Jd/+xXuAnvkHIfOOYrYYiSuvmFV25uM9rYZ9fqMSkZ53W1jdM9zvv6/f+iYIo0rpSIYiBVfnQBEhUExQPoN7icaDAbldDoLrp9obW2tVq1aFdFTtaamRrW1tZleGgAAWeOMw13a12FUUiSdfaRLFeMyX9158HSHmvr6qm7ea2th1fAtAIwxWv1aQA+8FOi/7cSFTi09qYh+qlGYVenQ9r5hVTuabR08SruF5zcEtW1fKLqePsnSKYemrzUEkE8IVQGMikExQGYM7ifqdDoVDAYLrp9oWVmZli9fzi91AAAYwRi3pU+fXpzpZURYUDWor+ru4UNV2xj97QW/Hn9rYLDWB49w6YIalyyGJkVl1mSHtH5gWNXBIwyr6vYa/aN+8HCqorS3hwDyBaEqgFExKAbIjMH9RAOBQMH2Ey0rK+NrDYCCUF5enuklAEkTGk4VCu82NtrSMQfeJ2gb/d9Tfq3dNBCofnSJS2cdQX/PWMyuHDSsat/IfVVXveLv77179FzniBXEAEZGqJqD2IaNdGNQDJAZg/uJOp1O+okCQJ5bunRpppcAJM2kMkuTx1va12G0da8tX8CoeFBfVV/A6Lf/8unN7aEQ0LKkS04u0gkLiSliNX3QsKrtIwyramyx9dTboQC7yClddDznGkgE76Acwzbs3JBvwTeDYoDMGNxPNNxTlX6iAAAgVyyY7tC+jqACtrRlj62FM0JVkT0+o1+s8WnTe6EA0OWQPn16sY6cS9VkPFxOSzMqLG3bZ7Sn3ajHZw4YUmaM0T3P+WX3TQE750iXyssy33sXyGWEqjmGbdjZLx+DbwbFAJkxuJ9oQ0ODqqurc/6XNACA4a1du1aStGTJkgyvBEiOg6sc+veGUGXkxt2hULWj2+iO1V7tbA6le+4i6QsfLGYbeoJmVTq0bV/oXO9otvvaLwx4dYutjbtDIXblOEtnvo84CEgU76Icwzbs7JePwTeDYoDMCfcTbWlpodceAOS5+vp6SYSqyB/791Vt7rT1s4d82tcRClTLSqRrznFr9mQqJhM1q9IhqS9U3RcZqnr9Rve9MDCc6uL3F6nIxXAqIFGEqjmGbdjZL1+DbwbFAAAAAIjFxLGWpoy3tLfDaOs+Wz/6p1ft3aGPTRpr6T/PK9a0iQSqyTBrUDC9rclEfOyR1wNq7QrdduhBDh0+i3MOJAOhao5hG3b6xdofleAbAAAAAEIWVDm0tyOooK3+QHXqhFCgSk/P5KmaZMnllALByGFVTR22Hn0jIElyOqSPv79IlkWVKpAMhKo5hm3Y6RVPf1SCbwAYXr4N8gMAACM7eLpDz64P9v99VqWla85xa1wpwV4yOR2WDiq3tHWf0d5Bw6rufcGvQN/pP22xS1OpDAaShlA1B7ENO33i6Y9K8A1gKISJ+TnIDxgsm9/n2bw2APntkIOcKinyq9cvLaxy6PNnFaukmEA1FWZWOrQ1PKyqyZY/KL2xLVS1OmGMdN5RREBAMvGOAkYQb39Ugm8AgxEmhuTjID8gLJvf59m8NkSqrq7O9BKApCsrsXTd+W7taTc6fJZDLieBaqrMnuzQM+tCoermPbZeeHegQvjCJUWE2UCSUfcNjGBwf1RJ9EcFEJfBYeKMGTNUUVHRHyYWknwd5AdI2f0+z+a1IdI555yjc845J9PLAJKuqtyho+Y6CVRTbFblQMSz5vWA9raHhlNVT3VoyXxnppYF5C1CVWAEtbW1qqmpUXNzs3bt2qXm5mb6owKIGWFiCL+oQj7L5vd5Nq8NAJA80ydZKurLTr3+0P8tSZ84geFUQCqw/R8FJdZ+YvRHBZAMg8PE8Lb3QgwTGeSHfJbN7/N410Yf1vRbvXq1JFGtCiAuToelGRWWtu41/beddIhTMyuppwNSgVAVBSPefmL0R0UYP1wiXoSJIfyiCvksm9/n8ayNPqyZ0dDQkOklAMhxsysd2ro31Et1rFv6yLFFGV4RkL8IVVEwGJCCRPDDJRJBmDiAX1QhX2Xz+zyetfHvJgDITYtmOPXUO6FQ9SPHFqmshG3/QKoQqqJg0E8MieCHSySKMBHIf9n8Po91bfy7CQBy0/tmO3TpKUVyOqSaaoZTAalEqIqCkc29zjAgW7fY88MlACRXtn69Rwj/bgKA3GRZlt6/gKgHSAfeaSgY2dzrDCHZvMWeHy4BIHmy+es9Qvh3EwAAwMgIVVEwsrnXGUKyeYs9P1wCKBTpqCDN5q/3COHfTZlRU1OT6SUAAIAoEaqioGRzrzNk9xZ7frgEUAjSVUGazV/vMYB/N6XfkiVLMr0EAAAQJUJVAFkjnVvs46nE4odLAPkuXRWk8X69pw8rAAAAsgWhKoCska4t9vTyA4ChpauCNJ6v93ztRiFYuXKlJGnp0qUZXgkAABgNoSqArJGuLfb08gOAoaVrx0A8X+/52o1C0NLSkuklAACAKBGqAlmCLY0h6dhiTy8/ABhaOofyxfr1nq/dAAAAyCaEqkAWYEtjeqWzdysA5JJsHsrH124AAABkE0JVIAuwpTG90lmJBQC5JluH8vG1GwAAANmEUBXIAmxpTK9srsQCkDm0YclufO0GAABANiFUBbIAWxrTL1srsQBkBm1YcgNfu5Hvzj777EwvAQAARIlQtYBQgZO92NKIfMfXH2Q72rAAyAbz58/P9BIAAECUCFULBBU42Y0tjchnfP1BJsQa5NOGBQAAAEAsCFULBBU42Y8tjfELhycNDQ2qrq4mkM4yfP1BusUT5NOGBUA2WLZsmSTpmmuuyfBKAADAaAhVCwQVOMhXg8OTYDAop9OZVVWQbHvn6w/SL54gnzYsAAAAAGKRUKj617/+VcuWLdPrr78un8+n+fPn65JLLtFXv/pVFRUVxXXMf/zjH/rtb3+rtWvXqqWlRRMnTtT8+fN1zjnn6Fvf+lYiyy1oVOAgXw0OT5xOp4LBYNZUQbLtPYSvP0i3eIJ82rAAAAAAiEXcoepXvvIV3X777XK5XDr99NNVVlamxx9/XDfccIMeeOABPfLIIyotLY36eL7/3969x8dV1/kff3/PTOaSzEySSUrbpOmFlItCt7YSQGEFKQriurhguzagsCsWpSJaL9x+PKjiA1gWxYJVKiogtimClpWl2yKgSBelqS3eVpBe1NK00CS9JCmkTXp+f4RJk2aSzOXMnDOT1/Px6AM6c86Zz8x8Tybz7vd8vgcP6tJLL9UjjzyicDisd73rXRo/frx27dqlP/3pT7r77rsJVbPADBwUq4HhSU9Pj6dmQXLZex9+/iDfMg3yacMCAAAAIFUZhaqPPfaYlixZokgkomeffVazZ8+WJLW2tuqcc87RunXrdNNNN+nOO+9M+Zif/OQn9cgjj+jDH/6w7rvvPlVXV/ffd/jwYa1fvz6TUvEWZuCgWA0MT3w+n6dmQXLZex9+/iDfCPIBwH0lPqPjJ1p6bZ+t1o7DbpcDAIDjMgpVb731VknSdddd1x+oSlJ1dbW+/e1v6x//8R/1rW99SzfddJPKy8tHPd7TTz+tH/7whzr55JP14x//eEjrAMuydPrpp2dSKgZgBg6K0cDwJNFT1SvhCZe9H8HPH+QTQT4AuCseMXpbrU/BEqNDvYfV2uF2RQAAOC/tUHXHjh1qbm6WpKShxZlnnqm6ujpt375dq1ev1vz580c95j333COpr6VApr1YAYxNA8OTLVu2qL6+3jPhCbPlAPcQ5AMoRKl8d/Iyn5HqJ/g0qcrqv62izLhYEQAAuZN2qLpp0yZJUjwe17Rp05Juc8opp2j79u3atGnTqL8Y9Pb26umnn5Ykvec979GuXbu0cuVKvfzyywoGg5o1a5YuvvhiTwQkALwpEZ60t7crHo+7XU4/ZssBAIB0eOn3mHTFwkZvn+RTaXBwiBoJGQX9Rt09tkuVAQCQG2mHqtu2bZMkTZ48edht6urqBm07kq1bt6qzs1OS9Jvf/EZXXXVV/98TvvSlL2nlypU655xz0i0XAFzFbDkAAJCq9vZ2SYUVrhpJU4+xNHWcJWOSz0qtjBjt2kuoCgAoLtbomwzW0dHXEKesrGzYbRKzsPbv3z/q8dra2vr//xOf+ITe+c53qrm5WR0dHXrxxRd1wQUXaPfu3brwwgv1yiuvDHuc7u5u7d+/f9Cf7u7uVJ8WAAAAALiqqalJTU1NbpeRstKg0Sn1fk07xjdsoCr19VgFAKDYZLRQlZNs+8i/WNbW1mrt2rX9K2XPnDlTP/vZz/SOd7xDf/zjH3X77bfr+9//ftLj3HbbbfrKV74y6LZrr71WX/7yl3NX/DD27NmT98cEwLmH4sb4BrLDOYRC0NXVJenIjNVUdL5pq2N//sd3baWlaZWWDr1h1P7GKBv32Nq/rycvdQH55Ma5B++xDhm1t7serznq6N+bCukKinxK+12PRqOSjnzgJ5O4fD8Wi6V8PEm6/PLL+wPVBJ/PpyuvvFJXX321nnrqqWGPc/3112vRokWDbgsGg0OOly8MOMAdnHsoZoxvIDucQ/C6xNWA6YzVwJu2orEexcpT36c0aHRynU8Hum29cVB646CtAwdtvdGtUXufhkqM3lZrqTKS3kWPE/f1qKubFgAoPumceyhO5WVG8XhxhaoSvzelIu13ferUqZKk7du3D7tN4r7EtqMdzxgj27Z17LHHJt0mcfvOnTuHPY6bASoAAAAAFIqKUqNIqO/P0XoPHwla3zgovdH9VuB6UKooMzpuoqUSX/qX88cjhlAVAFBU0g5VZ82aJamvF+q2bds0bdq0Idts2LBBkjR79uxRjxeJRHTCCSfopZdeUmtra9JtErezYjYAAAAAZCcWHj4U9VlGkZCSBq7ZiEeMtreNvh0AAIUi7YWqJk2apIaGBknSihUrhty/bt06bd++XcFgUBdccEFKx5w7d64kDXt5/89//nNJ0qmnnppuuQAAjKizs1Pf/e53tXjxYn33u9/tb2EDAECxKi/L/8JRFWVGFutVAQCKSNqhqiTdcMMNkqTbb79dGzdu7L+9ra1NV111lSTpM5/5jMrLy/vvW7VqlU488UTNmTNnyPE++9nPqrKyUqtXr9ayZcsG3bdy5UotX768fzsAAJzS2dmpSy65RIsXL9ayZcu0ePFiXXLJJQSrAABXLFy4UAsXLszpY5T4jMqC+U83fZZRrJRUFQBQPDIKVT/84Q/rs5/9rDo7O3X66afrAx/4gD7ykY9o+vTp+sMf/qAzzjhDt9xyy6B99u3bp5dffllbtmwZcrzq6mo9/PDDCoVC+tSnPqWTTz5Zc+fO1ezZszV//nzZtq2bbrop5ZmvAACkYsWKFWpublZVVZVqa2tVVVWl5ubmpFdiAEAuMFse+RYLu/fYlS7MkAUAIFcyXp5syZIlOuOMM7R06VI9//zzOnTokOrr63Xdddfp85//vAKBQFrHe9/73qff/e53uvXWW/XUU0/pv/7rvxSLxXTBBRfommuu0fvf//5MSwVwlM7OTq1YsUItLS2qqalRY2MjPYsxJrW0tMi27f6FDoPBoGzbVktLi8uVARgLErPlm5ubZdu2jDF64okntHz5cj6Xx6jNmzdLkqZPn56zxyh3cbZoPGJp2+uHXXt8AACclHGoKknz5s3TvHnzUtr28ssv1+WXXz7iNscff7weeOCBbEoCMAq+wAFH1NTUyBij7u5uBYNBdXd3yxijmpoat0sDMAYMnC2f+BmUmC2/YMECt8uDC9auXSupeEPVWLiv/cChXtu1GgAAcEpGl/8DKFxc7gwc0djYqIaGBrW1tWnHjh1qa2tTQ0ODGhsb3S4NwBjAbHnkm5Fc7WtqjFEFfVUBAEUiq5mqAAoPX+CAIyKRiJYvX047DACuYLY88i0SMvJZ7oaalRGj3R2ulgAAgCMIVYExhi9wwGCRSITLbAG4orGxUU888cSgljzMlkcuuXnpf0I84n4NAAA4gVAVGGP4AgcAgDcwWx755oVQtTRoFCoxevMQfVUBAIWNUBUYY/gCBwCAdzBbHgPF4/GcHt8LoarUN1u1ZQ+hKgCgsBGqAmMQX+AAAAC8Z/78+Tk7dtBvFAp4I1StLDNq2eN2FQAAZMdyuwAAAAAAQG7FPDJLVepbrAoAgEJHqAoAAAAAHrB+/XqtX78+J8eu8FCoGvAbRULeqQcAgEwQqgIAAACABzQ3N6u5uTknx/bSTFWpr68qAACFjFAVAAAAAIqYZaRoyO0qBiNUBQAUOhaqAgAAQNHq7OzUihUrtGXLFtXX16uxsVGRSMTtsoC8ioWNLMtbIWZ5qZFlpMO225UAAJAZQlUAGMMSYUNLS4tqamoIGwAUlc7OTl1yySVqbm5Wb2+vfD6fnnjiCS1fvpyfdRhTyj126b8k+Syj8lKjPV2kqgCAwkSoCgBj1MCwwbZtGWMIGwAUlRUrVqi5uVlVVVXy+Xzq7e1Vc3OzVqxYoQULFrhdHpA3XuunmlBZRqgKAChc9FQFgDFqYNhQW1urqqqq/rABAIpBS0uLbNtWMBiUJAWDQdm2rZaWFpcrA5Krr69XfX2948f14kxVSYpH+DoKAChczFQFgDGKsAFAsaupqZExRt3d3fL5fOru7pYxRjU1NW6XBiR1/vnnO37M0oBRwO/NUDUalkp8Rod6ma0KACg8/NMgAIxRA8MGSYQNAIpOY2OjGhoa1NbWpp07d6qtrU0NDQ1qbGx0uzQgb7x66b8kGWNUUebd+gAAGAkzVQFgjGpsbNQTTzwxqKcqYQOAYhKJRLR8+XKtWLFCW7ZsUX19PQvywdPWrFkjydkZq1699D8hHjHavd/tKgAASB+hKgCMUQPDhpaWFtXU1BA2ACg6kUhECxYsUHt7u+LxuNvlACPasmWL48f0eqhayUxVAECBIlQFgDEsETYAAIDiU+IzKgu6XcXISoNG4RKjNw7RVxUAUFjoqQoAAAAARSga7utb6nWVEe/XCADA0QhVAQAAAKAIef3S/wRCVQBAISJUBQAAAIAiVDChaplRYVQKAMAR9FQFAABAVjo7O1n0DnBAQ0ODY8cykmLhwogqA36jSMio403v91Ut8Rkd6vV+nQCA3CNUBQAAQMY6Ozt1ySWXqLm5WbZtyxijJ554QsuXLydYBdJ06qmnOnasspCR31cYoaokxSOFEapOqjLa9rr36wQA5B6X/wMAACBjK1asUHNzs6qqqlRbW6uqqio1NzdrxYoVbpcGjGnlBTJLNSFeAH1VfUaaVGXJ8n6pAIA8IFQFAABAxlpaWmTbtoLBoCQpGAzKtm21tLS4XBlQeJqamtTU1OTIscrLCiv5Ky818vrE2ooyoxKfUVnQ44UCAPKCUBUAAAAZq6mpkTFG3d3dkqTu7m4ZY1RTU+NyZUDhaW9vV3t7uyPHKpR+qgmWZTwfBFdF+74+F9prO9YE/Lw/APKDUBUAAAAZa2xsVENDg9ra2rRjxw61tbWpoaFBjY2NbpcGjFkBv1FpAc6mrCzz9tfTqmjfaxolVPW06ijvD4D8YKEqAAAAZCwSiWj58uVasWKFWlpaVFNTo8bGRhapAlxUaP1UE+IRoy2vuV1FcqVBo3Cg73WNlRbm6ztWVEeNWva4XQWAsYBQFQAAAFmJRCJasGCB22UAeEuhhn7RcF/P0kO9ttulDFE1YCGtsmDfolUeLBM60vvWi+MIQHHx9vUVAAAAAIC0lBdoqCpJlRFv1l414JJyYwwtADyqxGfk9xlFQm5XAmAsYKYqAAAAAHjAeeedl/UxLCPFwg4U45J4mdHr+9yuYjCfkSqOCqqjYaO9B5gJ6TWhkr7/RkJGe7p4fwDkFqEqAAAAAHjA9OnTsz5GNGRkWYU7izLuwZmqlRFryGsaY6aqJ4VKWEwMQP5w+T8AAAAAFIlC7aeaEAoYlQa89RySBb2Edt4UCvT9NxLi/QGQe4SqAAAAAOABS5cu1dKlS7M6RiH3U02YWOmtr6kD+6kmlAb7FkOCtyRmqpYF+1phAEAueevTCgAAAACQsWIIVWviRn6PfFMtDRqFh5k5Gy3g3rXFKvhWT1VjDLNVAeScRz6qAAAAAADZCJUYBUsKP0gq8RnVxr3xVbVqhB6v9FX1ntCA8R8lVAWQY974pAIAAAAAZKUYZqkmTKqyPHH5dnWSS/8T6KvqPYmeqpIU4f0BkGOEqgAAAABQBIopVA2WGE2ocPfrqt8a+TVlpqq3+IwU8B95T7j8H0CuEaoCAAAAQBEoplBVkiZXW3LzGVWWWbJGmC4bLDGDQjy4K3hU79tISK6OHwDFz+92AQAAAAAAaf78+Rnv6zN9IVIxKQ0aVccs7d5/2JXHj49w6X9CLGzU2mHnoRqMJlQy+O8+y6g0aNTVzfsDIDeYqQoAAAAAHhCPxxWPxzPaN1ZqZEzxzcubUu3eV9aRFqlKiIbzUAhSEkqySBstAADkEqEqAAAAAHhAe3u72tvbM9q32C79T4iVGlWW5f+5lQWNQoHUZqrCG46eqSqxmBiA3CJUBQAAAAAPaGpqUlNTU0b7FmuoKklTxuX/a2tVCpf+S4R2XpIsBI8WWUsMAN5CqAoAAAAABS5WxKFqPGIpmufLuFO59F/qW20+nOSyc+RfMMlM1QihN4AcIlQFAAAAgAIWDhiV+Io7PJqcx9mqfiu9mb/RIg60C0mycLvEZ5L2WgUAJxCqAgAAAEABKx8Ds/GOiRmVptDj1AmVZZYsK/XHoq+q+4ySz1SVlPdZzgDGDkJVAAAAAChgY6GvpzFGddX5+fqaaj/VhGg4R4UgZcESI2OSv28R3h8AOUKoCgAAAAAFrJj7qQ40scIo4M/9c007VA0ZjY13wLtCw8xSlaQIM1UB5Ijf7QIAAAAAANLChQvT3qfEJ5UFx0ZoZFlGk+JGW1+3c/YYkZBRMM0enH6fUThodKA7d3VhZCO9Z1z+DyBXmKkKAAAAAAUq3QCw0NVWWfLn8FtsVSSz15O+qu4KB4a/LzQGFnID4A5CVQAAAADwgM2bN2vz5s1ul+FpJT6jmnjuvsbG07z0P4FQ1V2j/eMCfW8B5AKX/wMAAACAB6xdu1aSNH36dJcr8ba6Kkuvth3WYYevtvdbUkWG/WnHwmJhXjZST1Wpr61DeyftGQA4i5mqAAAAAICCESwxmlDh/FfZyog17Aryo4mGJItc1TWhwCgzVemrCiAHCFUBAAAAAAVlcrUlp2OyTPupSn2LaI2VBcO8aNSZqswkBpADhKoAAAAAgIJSGjSqjjn7dbYqw36qCfRVdUeJz8g3yjTh0oDEWlUAnEaoCgAAAAAoOFOqnfs6GwmZURc7Gg19Vd0x2ixVSTLGKEILAAAOI1QFAAAAAA+Ix+OKx+Nul1EwYqVGlWXOBGXZXPqfEMtwkStkJ5RiGE4LAABO87tdAAAAAABAmj9/vtslFJwp4yzt6erN+jhV0eznG5UF+y4x72WR+bwKBVLbjsWqADiNmaoAAAAAgIIUj1hZh2UlPqPy0uxrMcbQAsAFKc9UJVQF4DBCVQAAAADwgPXr12v9+vVul1FwJmfZW7WizMgYZwI3QtX8S3WmaiQk8e4AcBKhKgAAAAB4QHNzs5qbm90uo+AcU24UzmKRqeqoc1FbjFA171KdqWpZRmXMVgXgIEJVAAAAAEDBMsZo9rE+Ta625M/gG27cgUWqElgMKf+CJalvSwsAAE5ioSoAAABggM7OTq1YsUItLS2qqalRY2OjIpGI22UBGEGwxGj6BJ+mjLP0atthvdpm61AKK0ZFQ0bBLGa5Hq0saFTiMyk9NrLnM1LAn/r7Fw0Z7cphPQDGFkJVAAAA4C2dnZ265JJL1NzcLNu2ZYzRE088oeXLlxOsAgWgxGc07RifJlfb2rnH1t9bD+vNQ8MHnFUOXvqfEAlJe7ocPyySCAbSe/8i4RwVAmBM4vJ/AAAA4C0rVqxQc3OzqqqqVFtbq6qqKjU3N2vFihVulwYgDT7LaFKVpXcd79PbJ/lUFkwevsUjzn8lpq9q/oTTuPRf4vJ/AM7K6hPkkUce0dlnn63KykqVlZVp5syZuuOOO3To0KGsC1u9erWM6VuF8dxzz836eAAAAMBoWlpaZNu2gsGgJCkYDMq2bbW0tLhcGcaC+vp61dfXu11GUTHGaEKFpdOO82vGZJ/KBwSeJT6j8lLnHzNKqJo3qS5SlVDiy25RMwAYKOPL/z/3uc9pyZIl8vv9OueccxSJRPTMM8/o2muv1eOPP64nn3xS4XBmc+v37NmjT37ykzLGyLbpRQMAAID8qKmpkTFG3d3dCgaD6u7uljFGNTU1bpeGMeD88893u4SiNi5maVzM0p6uw/r77sPy+fom8TiNmar5k84iVQmRsNEbI7SEAIBUZTRT9bHHHtOSJUsUiUT0wgsvaO3atfrJT36iV155RTNmzNC6det00003ZVzU1Vdfrddee02f+tSnMj4GAAAAkK7GxkY1NDSora1NO3bsUFtbmxoaGtTY2Oh2aQAcUllmaeZUv95Wm5tueKGASWvxJGQunGZPVUmKhnJQCIAxKaNPkVtvvVWSdN1112n27Nn9t1dXV+vb3/62JOlb3/qW9u3bl/axV61apeXLl2vRokU69dRTMykPAAAAyEgkEtHy5cu1ePFiXXnllVq8eDGLVCFv1qxZozVr1rhdxpjhs3IXfDJbNT+CGVzKT19VAE5J+/L/HTt2qLm5WZKS/ov9mWeeqbq6Om3fvl2rV6/W/PnzUz52a2urPvWpT+mEE07QV7/6Va1cuTLd8gAAAICsRCIRLViwwO0yMAZt2bLF7RLgkGhYau1wu4riF8rg8n963gJwStozVTdt2iRJisfjmjZtWtJtTjnllEHbpurTn/60Wltb9f3vf1+hEHPyAQAAAACFh5mquWeUWU/VYAntGQA4I+2Zqtu2bZMkTZ48edht6urqBm2bipUrV+rRRx/VNddcozPOOCPdstTd3a3u7u5BtwWDwf6VWwEAAAAAyAdmQ+ZesCTzhcYiIam90+GCAIw5aYeqHR191zCUlZUNu02i59T+/ftTOuauXbu0cOFC1dfX9/drTddtt92mr3zlK4Nuu/baa/XlL385o+NlY8+ePXl/TACceyhujG8gO5xDKARdXV2SpPb29rT2Y3x708GuHr3ZwyrzuWJKjdrb0440JEm9b/Rq/77DWdfQsZ9zD5J1KPOx6FVHf67E43GXKvE2T7zrCxYs0J49e/STn/xEpaWlGR3j+uuv16JFiwbd5uZMVQYc4A7OPRQzxjeQHc4heF1i4komY5Xx7T21E3u1e3/2wR2SG19hKR73ZbTvId9h7evtdaSOWDnn3lhXXmYUj3siXnMUnyujS/tdj0ajko78K2oynZ198+hjsdiox3vwwQf1+OOP69Of/rTOPvvsdMvpx6X+AAAAAApZQ0OD2yXAQbGw0e7ULt5EBjJZpCohGqI9A4DspR2qTp06VZK0ffv2YbdJ3JfYdiSrVq2SJDU3Nw8JVXft2iVJ+u1vf9t/38qVKzVhwoT0igYAAAAAjzv11FPdLgEOioXdrqC4hUoyD0ZLg0Z+S+phIjGALKQdqs6aNUuS1NbWpm3btmnatGlDttmwYYMkafbs2SkfN7FPMnv37tWzzz4rSXrzzTfTKRcAAAAAgLyLsFhVToUC2e0fCRntPUDPWwCZs9LdYdKkSf2XpaxYsWLI/evWrdP27dsVDAZ1wQUXjHq8xx57TLZtJ/1z//33S5LmzJnTf1sqs18BAAAAoNA0NTWpqanJ7TLgkBKfUWmQYDVXglnMVJX6QlUAyEbaoaok3XDDDZKk22+/XRs3buy/va2tTVdddZUk6TOf+YzKy8v771u1apVOPPFEzZkzJ5t6AQAAAKAotbe3q7293e0y4KAYs1VzJpueqpI7oSqjASguGYWqH/7wh/XZz35WnZ2dOv300/WBD3xAH/nIRzR9+nT94Q9/0BlnnKFbbrll0D779u3Tyy+/rC1btjhSOAAAAAAAXkaomhslPiOfld1rG83ze1MeNmqY7pc/oxQGgBdlfDovWbJEDz/8sN71rnfp+eef1+rVqzVp0iTdfvvteuaZZxQO05UbAAAAADB2cYl5boSz7KcqSWVBKctcNmVTqi3NPtanSMjomHJSVaBYpL1Q1UDz5s3TvHnzUtr28ssv1+WXX57W8TPZBwAAAAAAL4iG+y75ZjkkZ2XbT1WSLKuv523nm7l7dwJ+o7dPshSPHAlSJ1RYatlzOGePCSB/sgpVAQAAAABAcj7LqCyUWnBX4jOKhfsuSw+WGL3c0puHCgtTtv1UE6IpvjeZiEeM3j7Jp4B/cABcUdYX5h7oJmoHCh2hKgAAAAB4wHnnned2CciBWHhocFfiM4qG++6Lho2iIaNQYHD49tfXD6u7h+AtmZADM1WlvgB7515HDtXPSJp2jKUp4ywZk7zOiRWWtrxGaA4UOkJVAAAAAPCA6dOnu10CcqCyzOjNQ33BaTRsFAsPDVCTqSgzem0foWoyIQd6qkrO97wNlfTNTq0oG/m4EyuNtr5GWwig0BGqAgAAAACQI+MrLI2vSH9xor5QNQcFFQGnZqpGQo4cRpI0LmrpxEmWSnyj1xbwG1VFLbV20FsVKGQsOwcAAAAAHrB06VItXbrU7TLgEZWjzHYcy5yaqer3GZWmMGt4JJaRjp/o04wpvpQC1YSJlby/QKEjVAUAAAAAwGNKg0ZBvzeDtzSyQ8f5LaUVXo4mEs78WOESo1Pq/ZpUlX60UhUxQxaxAlBYCFUBAAAAAPCg0XpzuqE0YBSPuhclBB269D8hEkx/H78l1VVZmjXNl3FfVssyGl/uvfcXQOroqQoAAAAAgAd5sa9qVdQoVGK0e787jx8qcfZ40TRmqkZDRrVxS+MrjHyWUXt7dqHoxEpL29voqwoUKkJVAAAAAAA8yIt9VaujfYGiW5xapCphtFDVZ/oWG6uNW2kFsKmIhIxiYaP9b9iOHhdAfhCqAgAAAADgQYm+qt093gjdSnymvyWBz0i9LpQVynJhqaMF/Mlf40jIqKbS0oQKI38Om8hOrLS0/43enB0fQO4QqgIAAACAB8yfP9/tEuBBfS0AvBGqVkaMjOkLGGOlRnu68l+X05f/S1IkJHV3SpaRjim3VFNp5a2f7fhyo8073QmoAWSHUBUAAAAAPCAej7tdAjzIS31Vq6NHgsZyl0JVpxeqkqTqmKV4RJpQaVSSw1mpyfh9RuPKLe3aS29VoNC4t2QfAAAAAKBfe3u72tvb3S4DHuOVvqpGUjxypJZ8zeQ8Wjjg/DFr45bqqq28B6oJEyu88R4DSA+hKgAAAAB4QFNTk5qamtwuAx6T6KvqtvJSo8CAOmJho3xXZRkpUITX21ZGLIVzMAMXQG4RqgIAAAAA4GFuzQodqCo6OD7w+4wiofzWFfQf6elabCZUFufzKjRemRmOwkCoCgAAAACAh3kjVB1aQ77rCubg0n+vmFhh5X3mLwaLR4xmTvF5YmY4CgOhKgAAAAAAHub27LlwSfJZqeWl+a0rVMSXyIcCRpWR4n1+Xhf0G719kk+WZTSRWcNIEaEqAAAAAAAe5nZf1WSzVKX8z1QNleT14fJuYmXhRTTFED8aSSfV+fp7BtdUMmsYqSm8MxYAAAAAgDHGzRYA1bHkjx3wG5UG8ldXMc9UlaRxUaMSX2E9x8nVhR8r1U/wDTq/QgEzpIcwkEwRrpsHAAAAAIVn4cKFbpcAD6soM3ptX/4f129JFSNc5l9eanTgoJ2XWkJF3FNVkizLaHy50avt+Xk9s1UaMJp6jKWde20d7CmMmo82LmolDYZrKo1aO1woCAWF6B0AAAAAAI9zq69qZZklyxo5VM2XYp+pKhVWC4Bo2MhnGU0dVzg1DxQuMTpxUvLaq6JmTIw3ZKcwRz4AAAAAFJnNmzdr8+bNbpcBj3Krr+pw/VQTyvMY9hZ7T1WpL6hMtiiYF0XDiR6khRdAWkY6ebJv2HYLxrBgFUZHqAoAAAAAHrB27VqtXbvW7TLgYW70VR2un2pCWTA/fUADfjPijNliUlMgs1Wj4b7/WgU4W3X6BF9/KDwcFqzCaApr1AMAAAAAMEblO1SNhU3/iugjGannqlPGwizVhPEVRl7Pj42k6IAZtRMr87toWTbGl1uaVDV6HBYsMapmwSqMgNEBAAAAAEAByHdf1dEu/U/IRwuAYIFdXp6NEp9RdczbcU04aOQfMEPZGKNp471ds9TXRuOEmtTrpAUARuL9EQ8AAAAAAPLeVzXVWXr5WKwqHMj5Q3hKjcfDvFiSS+fHl1ue7gfrM9LJdb5BYfBoWLAKIyFUBQAAAACgQOSrBUDQb0btOZkQDfUFVrk01oKtyjJvh3nRYcLTY4/xbsx0fI0v7dCXBaswEu+OdgAAAAAYQ+LxuOLxuNtlwOPyFapWp3jpv9S3UFE0x7NVg2Oop6rUF+ZNqPBumDdc4F4ds1SeYhifTzWVliZmuAAYC1ZhOH63CwAAAAAASPPnz3e7BBSAfPVVTbWfakJFqdHeLjtH1UjhAlkEyUkTKy39dfdht8sYwkiKhoe//9jxljb9tTdv9YwmEjI6bmLmcwoTC1bt7vDeewF3MVMVAAAAAIACkY++qj4jVUbSDFVzHPaOtZmqUl+QnO/FyVJRGjTyWcPXVRmxPFO33+rrozpSvamoiXvj+cBbCFUBAAAAwAPWr1+v9evXu10GCkCuA8zKiJV2CBULm5xdIu23pJJcN231qEwvWc+lZItUHe3Y8b48VDK6E2p9Kg1mP3biEW/3uIU7vHd2AgAAAMAY1NzcrObmZrfLQAHIdaia7qX/kuT3GZXlaOX34BgOs9LpbZsvqSxgVl7ad8m8myZWWBpf7kwNxhjVsGAVjkKoCgAAAABAAcn1pdWZBnkVOVqsKjQGL/1P8PuMSj3WTzaVUFXq663qpnExZ1+3iSxYhaMQqgIAAAAAUEBy2Vc1EjIZzwwtz1HYG/JYqJhvkRRDzHywjBQNpbZtJGR0jEMzRdNl5Px4TCxYBSQwGgAAAAAAKDC5agGQzeXmuZup6p1Q0Q2p9DDNl7KgkZVGv91jj3FndmdZyOSkD29tlXfeC7iPUBUAAAAAgAKTq1C1KouZeMESo3AOAtCxfPm/lPrM0HxI9dL/hNKgcWWxrVwF/PGIlZMxjsJEqAoAAAAAHlBfX6/6+nq3y0CByEVf1YDfqDzLMCoXLQC4/N87zz/dUFWSpo6zlMbkVkfkqhWFJE1kwSq8xe92AQAAAAAA6fzzz3e7BBSQRF/V7h7bsWNWRbIPi8pLjXbtzb6Wgcb6TNUSX98M4DcOOfdeZyqTVgShgFFNpaVX2w/noKLkcjVTVZJq4pa2vX5Y7r8bcBszVQEAAAAAKEBOtwCoyqKfakK2M12PZhkpwHQwRXMYEqbKMlJZMLN9px5jKQctTpMqDWS+2FoqAn6j6hhxGghVAQAAAMAT1qxZozV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          },
          "metadata": {}
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "#Shape\n",
        "unscaled_pred = scaler_y.inverse_transform(predicted_df['prediction'].values.reshape(-1,1))\n",
        "unscaled_actual = media_data_raw.iloc[split_point:][response_col].values.reshape(-1,1)\n",
        "smape(unscaled_pred, unscaled_actual)"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "R0lrXllwy4W-",
        "outputId": "3044280e-2b8f-4a54-f056-9e996e69ecc1"
      },
      "execution_count": 19,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "0.1762117389937244"
            ]
          },
          "metadata": {},
          "execution_count": 19
        }
      ]
    }
  ]
}