Medium Blog - Get Started Analyzing CGM Data

medium-blog-get-started-analyzing-cgm-data.ipynb

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        "<a href=\"https://colab.research.google.com/gist/ThonyPrice/b287352da355a7a538fbff04381e15e9/medium-blog-get-started-analyzing-cgm-data.ipynb\" target=\"_parent\"><img src=\"https://colab.research.google.com/assets/colab-badge.svg\" alt=\"Open In Colab\"/></a>"
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      "cell_type": "markdown",
      "metadata": {
        "id": "zS4d7kIVFOM7",
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      "source": [
        "# CGM - Plug and Play Data Analysis\n",
        "\n",
        "- This notebook was written to enable a quick setup environment for starting exploring CGM data.\n",
        "- It's been tested with data exported with Dexcom's Clarity Tool\n",
        "- The notebook is presented and describes in more detail in the Medium post: \n",
        "https://medium.com/p/2f8e6b315ded\n"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "Dy_73b4Zaevv",
        "colab_type": "text"
      },
      "source": [
        "## Setup"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "KiAvZCriamGa",
        "colab_type": "text"
      },
      "source": [
        "Allow this notebook to access your Google Drive files"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "wotJODEvrPBA",
        "colab_type": "code",
        "outputId": "882a960c-7501-4cc7-a9f3-99138c6c6315",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 125
        }
      },
      "source": [
        "from google.colab import drive\n",
        "\n",
        "drive.mount('/content/drive')"
      ],
      "execution_count": 0,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "Go to this URL in a browser: https://accounts.google.com/o/oauth2/auth?client_id=947318989803-6bn6qk8qdgf4n4g3pfee6491hc0brc4i.apps.googleusercontent.com&redirect_uri=urn%3Aietf%3Awg%3Aoauth%3A2.0%3Aoob&scope=email%20https%3A%2F%2Fwww.googleapis.com%2Fauth%2Fdocs.test%20https%3A%2F%2Fwww.googleapis.com%2Fauth%2Fdrive%20https%3A%2F%2Fwww.googleapis.com%2Fauth%2Fdrive.photos.readonly%20https%3A%2F%2Fwww.googleapis.com%2Fauth%2Fpeopleapi.readonly&response_type=code\n",
            "\n",
            "Enter your authorization code:\n",
            "··········\n",
            "Mounted at /content/drive\n"
          ],
          "name": "stdout"
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "lnMpEg9Tanfl",
        "colab_type": "text"
      },
      "source": [
        "Read the cgm data into a Pandas DataFrame"
      ]
    },
    {
      "cell_type": "code",
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        "id": "p-Ei15JIt0mw",
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        "colab": {
          "base_uri": "https://localhost:8080/",
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        }
      },
      "source": [
        "import pandas as pd\n",
        "\n",
        "path = 'drive/My Drive/my-cgm-exploration/'\n",
        "file_name = 'CLARITY_Export__henrikberggren_2019-04-24_183203.csv'\n",
        "df = pd.read_csv(path+file_name)\n",
        "df.head()"
      ],
      "execution_count": 0,
      "outputs": [
        {
          "output_type": "execute_result",
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              "      <th></th>\n",
              "      <th>Index</th>\n",
              "      <th>Timestamp (YYYY-MM-DDThh:mm:ss)</th>\n",
              "      <th>Event Type</th>\n",
              "      <th>Event Subtype</th>\n",
              "      <th>Patient Info</th>\n",
              "      <th>Device Info</th>\n",
              "      <th>Source Device ID</th>\n",
              "      <th>Glucose Value (mg/dL)</th>\n",
              "      <th>Insulin Value (u)</th>\n",
              "      <th>Carb Value (grams)</th>\n",
              "      <th>Duration (hh:mm:ss)</th>\n",
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              "    <tr>\n",
              "      <th>1</th>\n",
              "      <td>2</td>\n",
              "      <td>NaN</td>\n",
              "      <td>LastName</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
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              "      <td>Device</td>\n",
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              "      <td>NaN</td>\n",
              "      <td>Dexcom G6 Mobile App</td>\n",
              "      <td>iPhone G6</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
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              "      <td>iPhone G6</td>\n",
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              "      <td>NaN</td>\n",
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              "      <td>3.0</td>\n",
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              "      <th>4</th>\n",
              "      <td>5</td>\n",
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              "      <td>High</td>\n",
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              "      <td>iPhone G6</td>\n",
              "      <td>140</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
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              "   Index Timestamp (YYYY-MM-DDThh:mm:ss) Event Type Event Subtype  \\\n",
              "0      1                             NaN  FirstName           NaN   \n",
              "1      2                             NaN   LastName           NaN   \n",
              "2      3                             NaN     Device           NaN   \n",
              "3      4                             NaN      Alert          Fall   \n",
              "4      5                             NaN      Alert          High   \n",
              "\n",
              "     Patient Info           Device Info Source Device ID  \\\n",
              "0  henrikberggren                   NaN              NaN   \n",
              "1             NaN                   NaN              NaN   \n",
              "2             NaN  Dexcom G6 Mobile App        iPhone G6   \n",
              "3             NaN                   NaN        iPhone G6   \n",
              "4             NaN                   NaN        iPhone G6   \n",
              "\n",
              "  Glucose Value (mg/dL)  Insulin Value (u)  Carb Value (grams)  \\\n",
              "0                   NaN                NaN                 NaN   \n",
              "1                   NaN                NaN                 NaN   \n",
              "2                   NaN                NaN                 NaN   \n",
              "3                   NaN                NaN                 NaN   \n",
              "4                   140                NaN                 NaN   \n",
              "\n",
              "  Duration (hh:mm:ss)  Glucose Rate of Change (mg/dL/min)  \\\n",
              "0                 NaN                                 NaN   \n",
              "1                 NaN                                 NaN   \n",
              "2                 NaN                                 NaN   \n",
              "3                 NaN                                 3.0   \n",
              "4                 NaN                                 NaN   \n",
              "\n",
              "   Transmitter Time (Long Integer) Transmitter ID  \n",
              "0                              NaN            NaN  \n",
              "1                              NaN            NaN  \n",
              "2                              NaN            NaN  \n",
              "3                              NaN            NaN  \n",
              "4                              NaN            NaN  "
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          "execution_count": 161
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    {
      "cell_type": "markdown",
      "metadata": {
        "id": "XAab7Ph3athv",
        "colab_type": "text"
      },
      "source": [
        "Trim off inrelevant static data"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "tVRosJEhBF1a",
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        "colab": {
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      },
      "source": [
        "df = df.iloc[10:,:]\n",
        "df = df[df['Event Subtype'].isnull()]\n",
        "df.head()"
      ],
      "execution_count": 0,
      "outputs": [
        {
          "output_type": "execute_result",
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              "      <th>Event Type</th>\n",
              "      <th>Event Subtype</th>\n",
              "      <th>Patient Info</th>\n",
              "      <th>Device Info</th>\n",
              "      <th>Source Device ID</th>\n",
              "      <th>Glucose Value (mg/dL)</th>\n",
              "      <th>Insulin Value (u)</th>\n",
              "      <th>Carb Value (grams)</th>\n",
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              "      <td>NaN</td>\n",
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              "      <td>351587.0</td>\n",
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              "      <th>13</th>\n",
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              "      <td>EGV</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>iPhone G6</td>\n",
              "      <td>145</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
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              "      <td>351887.0</td>\n",
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              "    <tr>\n",
              "      <th>14</th>\n",
              "      <td>15</td>\n",
              "      <td>2019-01-25T00:20:10</td>\n",
              "      <td>EGV</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>iPhone G6</td>\n",
              "      <td>143</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>352187.0</td>\n",
              "      <td>80FT9B</td>\n",
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            "text/plain": [
              "    Index Timestamp (YYYY-MM-DDThh:mm:ss) Event Type Event Subtype  \\\n",
              "10     11             2019-01-25T00:00:10        EGV           NaN   \n",
              "11     12             2019-01-25T00:05:11        EGV           NaN   \n",
              "12     13             2019-01-25T00:10:11        EGV           NaN   \n",
              "13     14             2019-01-25T00:15:11        EGV           NaN   \n",
              "14     15             2019-01-25T00:20:10        EGV           NaN   \n",
              "\n",
              "   Patient Info Device Info Source Device ID Glucose Value (mg/dL)  \\\n",
              "10          NaN         NaN        iPhone G6                   146   \n",
              "11          NaN         NaN        iPhone G6                   147   \n",
              "12          NaN         NaN        iPhone G6                   146   \n",
              "13          NaN         NaN        iPhone G6                   145   \n",
              "14          NaN         NaN        iPhone G6                   143   \n",
              "\n",
              "    Insulin Value (u)  Carb Value (grams) Duration (hh:mm:ss)  \\\n",
              "10                NaN                 NaN                 NaN   \n",
              "11                NaN                 NaN                 NaN   \n",
              "12                NaN                 NaN                 NaN   \n",
              "13                NaN                 NaN                 NaN   \n",
              "14                NaN                 NaN                 NaN   \n",
              "\n",
              "    Glucose Rate of Change (mg/dL/min)  Transmitter Time (Long Integer)  \\\n",
              "10                                 NaN                         350987.0   \n",
              "11                                 NaN                         351287.0   \n",
              "12                                 NaN                         351587.0   \n",
              "13                                 NaN                         351887.0   \n",
              "14                                 NaN                         352187.0   \n",
              "\n",
              "   Transmitter ID  \n",
              "10         80FT9B  \n",
              "11         80FT9B  \n",
              "12         80FT9B  \n",
              "13         80FT9B  \n",
              "14         80FT9B  "
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 162
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "i79bt8BJaw3R",
        "colab_type": "text"
      },
      "source": [
        "Select relevant columns and rename for convenience"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "z_ITed8PNtND",
        "colab_type": "code",
        "outputId": "cfda45a5-19b5-4766-a685-a4787d5dfeee",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 197
        }
      },
      "source": [
        "df = df[['Timestamp (YYYY-MM-DDThh:mm:ss)', 'Glucose Value (mg/dL)']]\n",
        "df.rename(columns={\n",
        "  \"Timestamp (YYYY-MM-DDThh:mm:ss)\": \"time\", \n",
        "  \"Glucose Value (mg/dL)\": \"glucose\"},\n",
        "  inplace=True)\n",
        "df.head()"
      ],
      "execution_count": 0,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
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              "  <thead>\n",
              "    <tr style=\"text-align: right;\">\n",
              "      <th></th>\n",
              "      <th>time</th>\n",
              "      <th>glucose</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>10</th>\n",
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              "      <td>2019-01-25T00:15:11</td>\n",
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              "      <td>143</td>\n",
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            "text/plain": [
              "                   time glucose\n",
              "10  2019-01-25T00:00:10     146\n",
              "11  2019-01-25T00:05:11     147\n",
              "12  2019-01-25T00:10:11     146\n",
              "13  2019-01-25T00:15:11     145\n",
              "14  2019-01-25T00:20:10     143"
            ]
          },
          "metadata": {
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          },
          "execution_count": 163
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "NBAfHgbSazPQ",
        "colab_type": "text"
      },
      "source": [
        "Set datetime index for DataFrame"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "Wxhc-6TYSmt-",
        "colab_type": "code",
        "outputId": "c17501bb-9ded-45d2-b480-c43fa2b7014a",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 227
        }
      },
      "source": [
        "df = df.copy(deep=True)\n",
        "df['time'] = pd.to_datetime(df['time'])\n",
        "df.set_index('time', inplace=True)\n",
        "df.head()"
      ],
      "execution_count": 0,
      "outputs": [
        {
          "output_type": "execute_result",
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              "<div>\n",
              "<style scoped>\n",
              "    .dataframe tbody tr th:only-of-type {\n",
              "        vertical-align: middle;\n",
              "    }\n",
              "\n",
              "    .dataframe tbody tr th {\n",
              "        vertical-align: top;\n",
              "    }\n",
              "\n",
              "    .dataframe thead th {\n",
              "        text-align: right;\n",
              "    }\n",
              "</style>\n",
              "<table border=\"1\" class=\"dataframe\">\n",
              "  <thead>\n",
              "    <tr style=\"text-align: right;\">\n",
              "      <th></th>\n",
              "      <th>glucose</th>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>time</th>\n",
              "      <th></th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>2019-01-25 00:00:10</th>\n",
              "      <td>146</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2019-01-25 00:05:11</th>\n",
              "      <td>147</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2019-01-25 00:10:11</th>\n",
              "      <td>146</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2019-01-25 00:15:11</th>\n",
              "      <td>145</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2019-01-25 00:20:10</th>\n",
              "      <td>143</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "</div>"
            ],
            "text/plain": [
              "                    glucose\n",
              "time                       \n",
              "2019-01-25 00:00:10     146\n",
              "2019-01-25 00:05:11     147\n",
              "2019-01-25 00:10:11     146\n",
              "2019-01-25 00:15:11     145\n",
              "2019-01-25 00:20:10     143"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 164
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "DExnxOS7a1JE",
        "colab_type": "text"
      },
      "source": [
        "## Data Quality Assurance"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "-iMcd6nJa7Df",
        "colab_type": "text"
      },
      "source": [
        "Inspect the time deltas between data points"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "SWd8rfpVmqiz",
        "colab_type": "code",
        "outputId": "8fe46c22-4377-4509-9f4d-fb696ebbd97a",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 176
        }
      },
      "source": [
        "from datetime import datetime, date, timedelta\n",
        "\n",
        "z = df.copy(deep=True)\n",
        "z['t1'] = z.index\n",
        "z['t2'] = z['t1'].shift(1)\n",
        "z['t_diff'] = z['t1'] - z['t2']\n",
        "z.dropna(inplace=True)\n",
        "z['t_diff'].describe()"
      ],
      "execution_count": 0,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "count                     23676\n",
              "mean     0 days 00:05:25.976262\n",
              "std      0 days 00:40:15.331371\n",
              "min             0 days 00:00:03\n",
              "25%             0 days 00:05:00\n",
              "50%             0 days 00:05:00\n",
              "75%             0 days 00:05:00\n",
              "max             3 days 01:29:50\n",
              "Name: t_diff, dtype: object"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 165
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "PlapmsU_a-oB",
        "colab_type": "text"
      },
      "source": [
        "Inspect samples closer than average"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "xOzFUPDTyh34",
        "colab_type": "code",
        "outputId": "2d030d8a-f115-4d9f-df28-3cad7ecce2bd",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 282
        }
      },
      "source": [
        "import numpy as np\n",
        "import seaborn as sns\n",
        "import matplotlib.pyplot as plt\n",
        "\n",
        "expected_diff = timedelta(minutes=4, seconds=30)\n",
        "close_samples_idxs = np.where(z['t_diff'] < expected_diff)[0]\n",
        "\n",
        "c_samples_times = z.iloc[close_samples_idxs, :]['t_diff']\n",
        "c_samples_times = c_samples_times.apply(lambda x: x.seconds)\n",
        "\n",
        "c_samples_glucose_diff =\\\n",
        "  z.iloc[close_samples_idxs, :]['glucose'].values.astype(int)\\\n",
        "  - z.iloc[close_samples_idxs+1, :]['glucose'].values.astype(int)\n",
        "\n",
        "ax = sns.scatterplot(c_samples_times, c_samples_glucose_diff)\n",
        "_ = ax.set(xlabel='Seconds diff', ylabel='Glucose diff')"
      ],
      "execution_count": 0,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "image/png": 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wYQHwOqAH+BJwQx3jaohSSSzvP4LrP3AaY+MVOjtKvOyIBQd9oyli87hUEisW97Jp3cpC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\nyYnCzMwyOVGYmVkmJwozM8v0/wE91M12aI5HmQAAAABJRU5ErkJggg==\n",
            "text/plain": [
              "<Figure size 432x288 with 1 Axes>"
            ]
          },
          "metadata": {
            "tags": []
          }
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "9C3DTCtdbAFY",
        "colab_type": "text"
      },
      "source": [
        "Inspect samples further apart than average (missing data)"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "_Yl3sy7Amqw-",
        "colab_type": "code",
        "outputId": "5d68394c-4e06-4684-84ec-f14b61a9d690",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 227
        }
      },
      "source": [
        "expected_diff = timedelta(minutes=5, seconds=30)\n",
        "missing_samples_idxs = np.where(z['t_diff'] > expected_diff)[0]\n",
        "\n",
        "c_samples_times = z.iloc[missing_samples_idxs, :][['t_diff']]\n",
        "c_samples_times.head()"
      ],
      "execution_count": 0,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/html": [
              "<div>\n",
              "<style scoped>\n",
              "    .dataframe tbody tr th:only-of-type {\n",
              "        vertical-align: middle;\n",
              "    }\n",
              "\n",
              "    .dataframe tbody tr th {\n",
              "        vertical-align: top;\n",
              "    }\n",
              "\n",
              "    .dataframe thead th {\n",
              "        text-align: right;\n",
              "    }\n",
              "</style>\n",
              "<table border=\"1\" class=\"dataframe\">\n",
              "  <thead>\n",
              "    <tr style=\"text-align: right;\">\n",
              "      <th></th>\n",
              "      <th>t_diff</th>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>time</th>\n",
              "      <th></th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>2019-02-02 23:59:41</th>\n",
              "      <td>3 days 01:29:50</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2019-02-15 22:13:59</th>\n",
              "      <td>3 days 00:19:48</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2019-02-24 17:53:33</th>\n",
              "      <td>0 days 00:10:00</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2019-02-25 04:18:32</th>\n",
              "      <td>0 days 00:15:01</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2019-02-26 01:03:29</th>\n",
              "      <td>0 days 04:55:00</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "</div>"
            ],
            "text/plain": [
              "                             t_diff\n",
              "time                               \n",
              "2019-02-02 23:59:41 3 days 01:29:50\n",
              "2019-02-15 22:13:59 3 days 00:19:48\n",
              "2019-02-24 17:53:33 0 days 00:10:00\n",
              "2019-02-25 04:18:32 0 days 00:15:01\n",
              "2019-02-26 01:03:29 0 days 04:55:00"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 170
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "dNipJJjHfaDj",
        "colab_type": "text"
      },
      "source": [
        "Let's have a look at Glucose distribution"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "402qD472feFp",
        "colab_type": "code",
        "outputId": "137489dc-d3fe-43e8-d343-8c05f2f6f41e",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 553
        }
      },
      "source": [
        "df['glucose'] = df['glucose'].astype(int)\n",
        "_ = sns.distplot(df['glucose'])\n",
        "df.describe()"
      ],
      "execution_count": 0,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/html": [
              "<div>\n",
              "<style scoped>\n",
              "    .dataframe tbody tr th:only-of-type {\n",
              "        vertical-align: middle;\n",
              "    }\n",
              "\n",
              "    .dataframe tbody tr th {\n",
              "        vertical-align: top;\n",
              "    }\n",
              "\n",
              "    .dataframe thead th {\n",
              "        text-align: right;\n",
              "    }\n",
              "</style>\n",
              "<table border=\"1\" class=\"dataframe\">\n",
              "  <thead>\n",
              "    <tr style=\"text-align: right;\">\n",
              "      <th></th>\n",
              "      <th>glucose</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>count</th>\n",
              "      <td>23677.000000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>mean</th>\n",
              "      <td>110.694302</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>std</th>\n",
              "      <td>33.362192</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>min</th>\n",
              "      <td>40.000000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>25%</th>\n",
              "      <td>87.000000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>50%</th>\n",
              "      <td>107.000000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>75%</th>\n",
              "      <td>130.000000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>max</th>\n",
              "      <td>264.000000</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "</div>"
            ],
            "text/plain": [
              "            glucose\n",
              "count  23677.000000\n",
              "mean     110.694302\n",
              "std       33.362192\n",
              "min       40.000000\n",
              "25%       87.000000\n",
              "50%      107.000000\n",
              "75%      130.000000\n",
              "max      264.000000"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 187
        },
        {
          "output_type": "display_data",
          "data": {
            "image/png": 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e1RO2CWFWtn8Sv23WSjAmIKH92GqY21PXCkBhRjwwOmsRjGcTE6NJT4hi28Emzi482eS7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\ngg==\n",
            "text/plain": [
              "<Figure size 432x288 with 1 Axes>"
            ]
          },
          "metadata": {
            "tags": []
          }
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "bpZzrCL3feSz",
        "colab_type": "text"
      },
      "source": [
        "## Visualizing"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "ORoIYfs8ro9v",
        "colab_type": "text"
      },
      "source": [
        "### What does the blood glucose trend look like?"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "ca0zQlnTfjMX",
        "colab_type": "code",
        "outputId": "c56e20c5-7c79-49ee-e536-2cbb93a506ea",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 392
        }
      },
      "source": [
        "z = df.copy(deep=True)\n",
        "z = z.resample('D').mean()\n",
        "z['date'] = z.index.date\n",
        "#dfs = list(map(lambda x: x.dropna(), dfs))\n",
        "z.insert(z.shape[1], 'day', z.index.value_counts().sort_index().cumsum())\n",
        "#for df in dfs: df['date'] = df.index.date\n",
        "\n",
        "plt.figure(figsize=(16, 6))\n",
        "_ = sns.regplot(\n",
        "  data = z, \n",
        "  x ='day', \n",
        "  y ='glucose', \n",
        "  ci = 95, \n",
        "  color = '#13ac5f')"
      ],
      "execution_count": 0,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "image/png": 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jtZU9G+P7NCZuxwN4LXxXA3LBTENNwvI3n39m5Zzaa0iu2Re+r1/66u8mgn48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\nAAAAELT/H1n0+hjEHeAxAAAAAElFTkSuQmCC\n",
            "text/plain": [
              "<Figure size 1152x432 with 1 Axes>"
            ]
          },
          "metadata": {
            "tags": []
          }
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "dfFuxfxtzF62",
        "colab_type": "text"
      },
      "source": [
        "### What's the trend for time spent in range?"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "vNoPgRC6zLBZ",
        "colab_type": "code",
        "colab": {}
      },
      "source": [
        "def applyThreshold(val, urgentLow=54, low=70, high=180):\n",
        "  if val > high:\n",
        "      return 'high'\n",
        "  elif val <= high and val >= low:\n",
        "    return 'in_range'\n",
        "  elif val < low and val > urgentLow:\n",
        "    return 'low'\n",
        "  else:\n",
        "    return 'urgent_low';\n",
        "\n",
        "df['Status'] = df['glucose'].apply(lambda x: applyThreshold(x))"
      ],
      "execution_count": 0,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "6M0lbRy8ziHX",
        "colab_type": "code",
        "colab": {}
      },
      "source": [
        "z = df.copy(deep=True)\n",
        "z = z[z['Status'] == 'in_range'][['Status']]\n",
        "z = z.resample('D').count()\n",
        "z = z.apply(lambda x: x/(((24*60)/5)+1))\n",
        "z = z.drop(z.head(1).index)\n",
        "z = z.drop(z.tail(1).index)\n",
        "z.insert(z.shape[1], 'day', z.index.value_counts().sort_index().cumsum())"
      ],
      "execution_count": 0,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "v7YoFdz53vQ_",
        "colab_type": "code",
        "outputId": "1e6fff2f-b22a-4379-bc59-b5ff67bea26f",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 392
        }
      },
      "source": [
        "plt.figure(figsize=(16, 6))\n",
        "ax = sns.regplot(\n",
        "  data = z, \n",
        "  x ='day', \n",
        "  y ='Status', \n",
        "  ci = 95, \n",
        "  color = '#13ac5f')\n",
        "_ = ax.set(xlabel='Day', ylabel='Daily in-range-ratio')"
      ],
      "execution_count": 0,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "image/png": 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mZCyuuMUDZbtGOS8AhNDOMPuSpFsC12+uHAv6oKR7Jcnd/8bMhiVtlPRq8Ebu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\naXIMs5IkSZKkyTHMSpIkSZIm529Nj71gem/uagAAAABJRU5ErkJggg==\n",
            "text/plain": [
              "<Figure size 1152x432 with 1 Axes>"
            ]
          },
          "metadata": {
            "tags": []
          }
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "FlgoMzHl6sAS",
        "colab_type": "text"
      },
      "source": [
        "Redo plot ignore days with missing data"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "nWNf5Ij76wa7",
        "colab_type": "code",
        "colab": {}
      },
      "source": [
        "z = df.copy(deep=True)\n",
        "count = z.resample('D').count()\n",
        "count = count[count['glucose'] > 200]\n",
        "z = z[z['Status'] == 'in_range'][['Status']]\n",
        "avg = z.resample('D').count().rename(columns={'Status':'in_range_count'})\n",
        "z = count.join(avg)\n",
        "z = z.apply(lambda x: x/(((24*60)/5)+1))\n",
        "z = z.drop(z.head(1).index)\n",
        "z = z.drop(z.tail(1).index)\n",
        "z.insert(z.shape[1], 'day', z.index.value_counts().sort_index().cumsum())"
      ],
      "execution_count": 0,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "lAXA_wmq33ag",
        "colab_type": "code",
        "outputId": "42cdd7b6-6614-478c-be95-7cc3e1ddaa3a",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 392
        }
      },
      "source": [
        "plt.figure(figsize=(16, 6))\n",
        "ax = sns.regplot(\n",
        "  data = z,\n",
        "  x ='day',\n",
        "  y ='in_range_count',\n",
        "  ci = 95,\n",
        "  color = '#13ac5f')\n",
        "_ = ax.set(xlabel='Day', ylabel='Daily in-range-ratio')"
      ],
      "execution_count": 0,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "image/png": 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VvKaf00diPT9hFkgRZ9HRjDHUQDr64XfvZRdfpVuuvjH33weA/tEYtuPpajdj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\nRU5ErkJggg==\n",
            "text/plain": [
              "<Figure size 1152x432 with 1 Axes>"
            ]
          },
          "metadata": {
            "tags": []
          }
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "whoEloDJBQn9",
        "colab_type": "text"
      },
      "source": [
        "### How's my average day looking?"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "ZxdUKtOABU3F",
        "colab_type": "code",
        "outputId": "55181f64-918a-44f0-d485-cc311659eefd",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 392
        }
      },
      "source": [
        "z = df.copy(deep=True)\n",
        "z.index = z.index.round('5Min')\n",
        "\n",
        "plt.figure(figsize=(16, 6))\n",
        "ax = sns.lineplot(x=z.index.time, y=z['glucose'], color='#13ac5f')"
      ],
      "execution_count": 0,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "image/png": 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xJ/AwXysgoUXRpZlI2UV4W0yDJiIiIqI6KSUmrQy6lhTtTOoxDJfn0a13rchmlJCobmFB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pqi8vKhw7zr7rdwR36cPz32Mf7fo+/ksZnn1j2WhXx54hlG40UGpeLvPIEImXGr7MuOyuv3Kknq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\n",
            "text/plain": [
              "<Figure size 1152x432 with 1 Axes>"
            ]
          },
          "metadata": {
            "tags": []
          }
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "LOApyfeBBNi7",
        "colab_type": "text"
      },
      "source": [
        "### Do the day of the week influence my blood sugar?"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "tBYr6IB-BUTy",
        "colab_type": "code",
        "outputId": "7ddb5ea7-53a4-4a39-d56d-c6131bd8ae10",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 392
        }
      },
      "source": [
        "z = df.copy(deep=True)\n",
        "z = z.join(pd.get_dummies(z['Status']), how='left')\n",
        "\n",
        "day_map = ['Mon', 'Tues', 'Wed', 'Thurs', 'Fri', 'Sat', 'Sun']\n",
        "z['weekday'] = z.index.weekday\n",
        "z = z[['weekday', 'glucose']]\n",
        "z = z.resample('D').mean()\n",
        "z.sort_values('weekday', inplace=True)\n",
        "z.dropna(inplace=True)\n",
        "z['weekday'] = z['weekday'].apply(lambda x: day_map[int(x)])\n",
        "\n",
        "_ = plt.figure(figsize=(16, 6))\n",
        "ax = sns.violinplot(x=\"weekday\", y=\"glucose\", data=z)"
      ],
      "execution_count": 0,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "image/png": 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tW2N0Nkmkd955B7fTw7B+rK+NKiuYxPbt26msrIxjZZJIc+fOJRQOMyEv+6DH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\npsJWREREREREMtr/B0NC2YgWh2sDAAAAAElFTkSuQmCC\n",
            "text/plain": [
              "<Figure size 1152x432 with 1 Axes>"
            ]
          },
          "metadata": {
            "tags": []
          }
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "TwRJAoWQIvN9",
        "colab_type": "text"
      },
      "source": [
        "Going deeper..."
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "U5WQ0FsxIw-t",
        "colab_type": "code",
        "outputId": "42c28255-c813-44c3-fd46-727278ba705e",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 481
        }
      },
      "source": [
        "z = df.copy(deep=True)\n",
        "z = z.join(pd.get_dummies(z['Status']), how='left')\n",
        "\n",
        "day_map = ['Mon', 'Tues', 'Wed', 'Thurs', 'Fri', 'Sat', 'Sun']\n",
        "z['weekday'] = z.index.weekday\n",
        "z = z[['weekday', 'glucose']]\n",
        "z = z.resample('D').mean()\n",
        "z['chunk'] = 'Second'\n",
        "z['chunk'].iloc[:(z.shape[0]//2)] = 'First'\n",
        "z.sort_values(['weekday', 'chunk'], inplace=True)\n",
        "z.dropna(inplace=True)\n",
        "z['weekday'] = z['weekday'].apply(lambda x: day_map[int(x)])\n",
        "\n",
        "_ = plt.figure(figsize=(16, 6))\n",
        "ax = sns.violinplot(\n",
        "  data=z, x=\"weekday\", y=\"glucose\", hue='chunk', split=True,\n",
        "  palette=\"Set2\", inner='quartile')"
      ],
      "execution_count": 0,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "/usr/local/lib/python3.6/dist-packages/pandas/core/indexing.py:190: SettingWithCopyWarning: \n",
            "A value is trying to be set on a copy of a slice from a DataFrame\n",
            "\n",
            "See the caveats in the documentation: http://pandas.pydata.org/pandas-docs/stable/indexing.html#indexing-view-versus-copy\n",
            "  self._setitem_with_indexer(indexer, value)\n"
          ],
          "name": "stderr"
        },
        {
          "output_type": "display_data",
          "data": {
            "image/png": 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X4HY/REREFDA7d+5ES0sL7KO4xQ+dXVlZGQBAdbKwJRroPvvsM0ARcE3Sbm2t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\nSUVORK5CYII=\n",
            "text/plain": [
              "<Figure size 1152x432 with 1 Axes>"
            ]
          },
          "metadata": {
            "tags": []
          }
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "OM2i9kZxBV6y",
        "colab_type": "text"
      },
      "source": [
        "### Is there any evident daily/periodic trends?"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "5MotbX7TBZIk",
        "colab_type": "code",
        "outputId": "5ec77a1b-d018-4787-c4d7-6eceb72c257f",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 548
        }
      },
      "source": [
        "z = df.copy(deep=True)\n",
        "z['day'] = z.index.date\n",
        "z['day_time'] = z.index.round('5Min').time\n",
        "z = z[['day', 'day_time', 'glucose']]\n",
        "z = z.groupby(['day', 'day_time']).last()\n",
        "z = z.reset_index()\n",
        "\n",
        "_ = plt.figure(figsize=(20, 8))\n",
        "x_cmap = sns.diverging_palette(220, 20, n=9)\n",
        "f = sns.heatmap(z.pivot('day_time', 'day', 'glucose'), cmap=x_cmap, vmin=0, vmax=300)"
      ],
      "execution_count": 0,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "image/png": 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B/SLi56OsP5UsL8ZXImJZWnYrcCDwy1TsuIh4qsG65wNnADuAc1I+joZtasW+mpmZWWvM\nf+PBY5bplJwaZtZeLltywphlPLuSWecoNaghaQpwObAA2AoMSFoHfB/4GnBrjmo+A9zWYPmpKQdH\ns23PIpvZ5HCy2U++JenN6eVd2hQRW3LtlNk4FOlN0glde4vcQfXwE5ssRT5rToLW/oaHh6tuwqTL\ne6zots/vqUfPZc1tA1U3w3pE3l4apx49t+SWNFf1eZZ7RFmnKbunxjxgMCX2RNJaYFFE/G16PurK\nkt4BHAB8A5hTcNuLgLUR8SLwqKRBXk0uukubyHqDtJ1O6X7bCRfi1j08e5CZWXfJc+cc4JzVN5Xc\nErNMkWCBe42Nzje4rGy7lVz/dKC279bWtKwhSXMkXZUe7wb8A/CJJsVXS7pH0t8oRUckfUDShWNs\nO3ebJC2VdKekO1evXt2s2WY2iYokDTMzMzMzs+7WVolC66Z0/RiwPiK2NujRcWpEDEnaC/gy8GHg\nuvopXVvQnpXASoDh4eFoVb3dyFnTW8fR7NHt0TfbgQ2bNMU+a609pHZKTz0z627ddl7SbcO3yuD3\nyDpN2UGNIaA209eMtCyP3wfeJeljwOuAPSU9HxHnRcQQQEQMS7qebFjJdQW2Pd42mVmPa/WFpqft\nNOt+Vc7SlfdmgrvP956ph3mIZjvLkywZejP/kFm9soefDAB9kg6VtCdZ4s5cPSki4tSIOCQi3kA2\nBOW6iDhP0u6SfhtA0h7A+4H7G1SxDjhZ0mskHQr0AXdMpE1mVj330jAzMzMzsxGl9tSIiO1p+tYN\nZNOnroqIBySdA/wl8DvAZknrI+JMSXOAsyLizFGqfQ2wIQU0pgDfAv4VspwawJyIuCBt50tkCUC3\nA2dHxI5Ubpc2lbD7NkG+a2SNePiJmVl3WXPbgGc/sQnLe25wxMxDSm6JmU220nNqRMR6YH3dssuA\nyxqUrc2pUbv8GuCa9Pi/gXc02dZOOTUiYgWwIk+b2pUzL/eeThhi0Cnjaz1LSnvLHZzauzdPQNfc\nNlDplIK9ykFTMzOzztJWiULNzMbiCw7rJXnHVG96+PGxC3WYvfbaq+ommJmZWQcoPaghaSHQTzbU\n46qIuFjSGmAO8BJZnouPRsRLdeu9DbgCmArsAFZExA3ptUOBtcC+wF3AhyPi1w22fT5wRlr/nIjY\n0KxNLd9xsw6Ut5dIlT01ivSqyBsA6YTeMeDeWFUo1ItnYEt5DelBrUx+VyRR5wnTDmjZdq27lHHs\n65Tjj1m7caJ1q1VqUEPSFOByYAGwFRiQtA5YA/xJKnY92ZCTK+pWfwE4LSIeknQQcJekDRHxDPA5\n4NKIWCvpSrLAxU7rS5pFlgT0cOAg4FuS3pxe3qVNEeGzUbMe5QOj2fjlDbZ1yrA1s8mU93vhoHZ7\nyzvLUKfIGwg+ae6sklvSnM/HrFbZs5/MAwYj4pHUk2ItsCgi1kdC1lNjRv2KEfGTiHgoPf4Z8BSw\nnyQBxwI3pqLXAsc32PYiYG1EvBgRjwKDqT0N29TCfTYzMzMzMzOzSVD28JPpQO1A363A/JEnaQaT\nDwMfT88bzn4iaR6wJ/Aw2ZCTZyJie02d01O5V2Y/Sctur9v29PS4aZtsfMqIUOets0i3YrNGHO23\nZm4Y2FLpnSizdlOkx0CVd6+dKHpsvbzv1r6cRNzGo+pEof8M3BYR34XGs59IOhD4ArA4Il7OOmo0\nVj/7yURJWgosBejv72fJkiWtqrpnuZu/2fjlvUBwN+XWcsLK0XVbt2sbnf+/zSZH3gTQHtpnVn5Q\nYwioTd0+Iy1D0qeB/YCPNltZ0lTg34FPRcRIr4tfANMk7Z56a7xSZ95tj7J8JxGxElgJMDw8HM3a\naWZmZmZmZmaTr+ygxgDQl2YrGSJL3HmKpDOB9wDvjoiXG60oaU/gZuC6iBjJn0FEhKTvACeS5cNY\nDHy1QRXrgOslXUKWKLSPLH+HGrVprB3J0xXK3fhay5Fna8bTupqZ5eNElDZZ3MO2dXwObFZMqUGN\niNguaRmwgWz61FUR8YCke4HHgB+k4SQ3RcSFdTk1PgQcDewr6fRU5ekRcQ9wLrBW0kXAD4GrYeec\nGmk7XwK2ANuBsyNiRyq3S5tasb8vPbS50sBG3twSs2dOH7tQG/DBcXSd8v9oZmZmZp3D55jWaUrP\nqRER64H1dcsabrc2p0ZEfBH4YpNyj5DNYlK/fKecGhGxAliRp02t4J4aZuVzLw2z3uBcJmZmZpZH\n1YlCrYWqjKrm7bZaZXe6TsnYbqPbo2+2AxtmbaSM3/8tTz0D7q1nbSZvD1IPHTAzm1wOarRQ1cNP\nrLc48GI2fv7+mFmvc5DGrLdM/T+OqLoJpdmt7A1IWijpx5IGJZ2Xlq1Jy+6XtErSHk3W3SHpnvS3\nrmb5NZIerXntbU3WXyzpofS3uGb5OyTdl9p0mUabJ7YABzTMyudeGmZmZmZmNqLUnhqSpgCXAwuA\nrcBACk6sAf4kFbueLI/GFQ2q+GVENAxYAJ+snRWlwbZfD3wamAMEcJekdRHxdNrWR4BNZLk1FgJf\nL7h7Ng5O/mkT5eEnZmZm1s2KnC+7J83Y8g6TnP/Gg0tuiZWl7OEn84DBlNgTSWuBRRHxtyMFJN0B\nzChh2+8BNkbEtrSdjcBCSbcCUyPi9rT8OuB4WhDU8PAT63Q+MLY3T804ukLBrr0PyVWs79n/ZNvd\n/5mz0u4a0Vnl523W/tMcBO8hpx49lzW3DVTdDLNxy/s76KGPZuUo+wxsOvB4zfOtwPyRJ2nYyYeB\nj6fntVO6AvyGpDvJpmS9OCK+UlPXCkkXAN8GzouIF+vWb7Tt6elva4PlE+aAhln53EvDrDfkuWPW\nqwG8bnTZkhNylTtn9U0lt8TMzDpN1beV/hm4LSK+CztP6ZrMjIghSb8L3CLpvoh4GDgf+C9gT2Al\ncC5wYYP1J0TSUmApwCWf+iSLT1jUqqqtS/gCe/IVGX7y3IM5/3+OynfX3swmh2c/Gd3mx4Zylz1p\n7qwSW2LtptANNn/HzKxLlB3UGAJqb7XMSMuQ9GlgP+CjzVaOiKH07yNp2MjvAQ9HxBOpyIuSVgOf\naLLtY+q2fWtaPqNuecOzg4hYSRY0Ydvd349m7RzRKcNPipwMmZlZa82eOb0jfofzDv/Iuy9FLq49\n/MTMzMzyKjuoMQD0STqULHBwMnCKpDPJcl68OyJebrSipH2AF9Kwkt8G3gn8XXrtwIh4Is1acjxw\nf4MqNgCfTfUAHAecHxHbJD0n6SiyRKGnAf/Yip3thICGWadz7xjrBnm72vcyDz8xMzOzPEoNakTE\ndknLyAIMU4BVEfGApHuBx4AfpNlUb4qIC+tyYhwG/Iukl8mmnr04IrakqtdI2g8QcA9wFuyckyMF\nLz5DFliBbHjKtvT4Y8A1wGvJEoR65pNJUiQRpe/SWSPdNvtJkX0pI3A6e2ZLUgqZtZSHn5iZVaeM\nHnhmZSo9p0ZErCebNrV2WcPt1ubEiIj/AI5oUu7YsdZPz1cBq5qUe2u+PcivU4afmHW63N+zvDk1\nOoQDfa2T9w5/XwkTAm1+bCh3ssNO6NGRNzDmz69ZZ8odfM85qxRU+xtcJc+SYlaOqhOFdhUHNMzM\nzFrDw0/MzMwsj9KDGpIWAv1kw0+uioiLJV0NzCEbPvIT4PSIeL5uvXmkJJ2p3PKIuLlZnQ22+xrg\nOuAdwC+AkyLip+m184EzgB3AORGxoaU7bT0jdyDr3o3lNsTMelreoX2d1Fti08OPj13IzMatV3tL\nWHvLfW7dQcczK1+pQQ1JU4DLgQXAVmBA0jrgzyPiuVTmEmAZUB+YuB+Yk/JyHAjcK+n/A6JRnTX5\nNkacATwdEW+SdDLwOeAkSbPIEpYeDhwEfEvSmyNix0T3t4zhJ8VyB7R/x5tOOqE2mwyefs9awb+t\nrVNWsDrPUKK8w5K6zZrbBlhz28DYBStWJC+YmZWryPfRvfq6324l1z8PGIyIRyLi18BaYFFNQENk\nyTp3mS41Il6IiO3p6W/UlGlYZ4NtLwKuTY9vBN6dtrcIWBsRL0bEo8BgqnPCPPzEzMzMzMzMbPKU\nfWt/OlDbf3QrMB9A0mrgfcAW4C/Ssg+Q9c64ID2fT5bocybw4dRrY7Q6LwTujIh1tdtO6z0L7JuW\n3163/phZzqoKWBTa7kB9ZxUzazVH+82sG+Wd7aBTEhg+lzNR9L6+IWWTqNu+Z2btorLxChGxJA1P\n+UfgJGB1CkasqymzCThc0mHAtZJGnXp1JBjSKpKWAksB+vv7WbJkSSurNzMzs0ngqYutV3gompn1\norKDGkNAbfryGWkZABGxQ9Ja4C+B1c0qiYgHJT1PNg3rqHU22PZWSbsDe5MlDM27PhGxkpSsdHh4\neJchMmZmZlYOz35iZmZmeZQd1BgA+iQdShY4OBk4RdKbImIw5bj4APCj+hXTOo+noSMzgbcAPwWe\naVRng22vAxYDPwBOBG6JiEiJSq9PCUoPAvqAO1qxs8WSeppZN8vbxfSkubNKbknvKDJc74i8dzOf\n/c9xtmbiVpy4gOHh4cq2X6VZ+0/r2X1vNZ+bmLWP2TOn5z4/yMu9c8xKDmqkgMQyYAPZ9KurgAeB\n70qaSjZV673A/w275NT4A+A8SS8BLwMfi4ifp3I71RkRD6TltTk1rga+IGkQ2EYW/CAiHpD0JbJc\nHtuBs1sx8wkUO6Hu1ZOMInfVPJ5w8uU9MDoDvFn3q7IXxJannsn1O5P34sDDT8ysXeSZCclTWpsV\nU3pOjYhYD6yvW/zOJmVfyakREV8AvlCgzp1yakTEr4A/arL+CmBFjuabmZlZBfbaa6+qm2BmZmYd\noLJEod2oV3tfFNEpvS/y3qF0jwUz6ySdkoOiyuEnPpZbM+7NaDY+RYbI+PvTfSQdDFwHHAAEsDIi\n+iUtBz4C/O9U9K9S5wUknQ+cAewAzomIDaNtw0GNFtqjb3bPngx1SrDCzMysXeXplg5wzuqbSm5J\nc2tuG+DUo+dWtn0zM+s424G/iIi7Je0F3CVpY3rt0oj4+9rCkmaRpY44nCwH5rckvXm0lBG7ldTw\n2kYtlPRjSYOSzqt77bI0q0mzdc9P6/1Y0ntqlv9U0n2S7pF0Z5N1leoflLRZ0ttrXlss6aH0t7gV\n+wm+u2NmZmbdzQENMzMrIiKeiIi70+NhshyboyW7WgSsjYgXI+JRYBCYN9o2Su2pIWkKcDmwANgK\nDEhaFxFbJM0B9hll3bEiNH84kji0ifeSzWzSB8wHrgDmS3o98GlgDln3l7tSm56eyL6aTbai3chb\nOT2iuwa2TqFg6N6HlNcQszp5e+Dl/d0o8pvl3xgzM7POIGkpsLRm0cqIWNmk7BuA3wM2keXZXCbp\nNOBOst4cT5MFPG6vWW0rowdBSh9+Mg8YjIhHACStBRZJ+jHwebKpWD/YZN1XIjTAo2kWk3lkU7Tm\nsQi4LiICuF3SNEkHAscAGyNiW2rTRmAh8G/j2cFavTz8xMysanlnzKhaGVP6mU0WDz/pPc89mPPc\n9igH3m3yeCrb9pECGA2DGLUkvQ74MvBnEfGcpCuAz5B1NPgM8A/An46nDWUHNaYDtXMSbSXrNbEM\nWBcRT0h65cW6KV1Hi9AE8E1JAfzLSCRI0lkAEXFlk21PH2X5hDmgYWZWnU4IaIzIkzuhqkSZZqNx\nQMPMzIqStAdZQGNNRNwEEBFP1rz+r8DX0tMhoLaL+Yy0rKkqEoX+JtlUq8fUv1A7pesY/iAihiTt\nD2yU9KOIuC0FM1qmtitNf38/S5YsGbX8Hn2zc9fdbQGQvN2KnVC0dfxedofl9z7J8iMPqLoZZpbk\nPpbfu3HsMjWqTO5pZmZWFWW9GK4GHoyIS2qWHxgRT6SnHwTuT4/XAddLuoQsDUUfcMdo2yg7qNEo\nyvIw8D5gMPXS+E1JgxHxphzrDgFExMi/T0m6mWxYym051x9i54DKDODWRo2v7UozPDwczXfTbHQr\nTlzAp24sdgJsveP1b39nvoIPPz52mR7WKcNPzDqZh5+Yjd8RMw9ik4/lLVHkeN8p05l3sXcCHwbu\nk3RPWvZXwB9LehvZKIyfAh8FiIgHJH0J2EI2c8rZo818AuUHNQaAPkmHkgUTTgZOiYgVIwUkPd8g\noAFNIjSSfgvYLSKG0+PjgAubrL8s5fGYDzybhrtsAD4raSRJ6XHA+S3ZW7MmHNAwK58DGmblc0DD\nzMyKiIjvAWrw0vpR1lkBrGgsu8BVAAAgAElEQVT2er1SgxoRsV3SMmADMAVYFREPNCtfm1OjWYRG\n0gHAzamXx+7A9RHxjbR+bU6N9aQeIcALwJL02jZJnyELuABcOJI01KyobktSlDd54UlzZ5XcktHl\nfd87YVDH8iMPYNvd389X2LOfWBvK+7sxe2ZL0ld1pLz77gSyZjvr5aHdZpZf6Tk1ImI9o0dhXlfz\neKecGo0iNGkmlSOb1HVlzeMAzm5SbhWwKt8eWCsVuZPaTQGDU4+ey5rbBsYuaNamOqHrpoefmJXP\nw0/GVuTiushFu9lEFAksVxlgzXv+7+O91dqt6gaY9QIHNFqnm4Jd1lo+wTErnwMaZmbWbqqY/cTM\nbNxm7T/NgY02VmhWnmf/s7yG2KTptmElZXRhz/u98PCT1nnuR/fmKrfvB/6k5JaYmVnZSg9qSFoI\n9JPl1LgqIi6uee0y4E9rh6A0WP8QsrwayyPi78eqs2a91wDXAe8AfgGcFBE/Ta+dD5wB7ADOiYgN\nLdhVs6Y6ZfhJt12cdIJum9K1yDCVvhZ3rPDwE2tm82ND/n1rEQ8/sWYOuP1rPHnU+6tuhrUh35Cy\nspU6/ETSFOBy4L3ALLJpW2al1+YA+4yy+ohLgK/nqbPOGcDTaWaVS4HPpfVnkc3CcjiwEPjnVKdZ\naTohoNEpuu2g2E0Bjao5oGHNOKDROg5oWDMOaFgz3XbuZu2n7J4a84DBlNyTNL3qIkk/Bj4PnAJ8\nsNnKko4HHgX+e6w6yXpz1FoELE+PbwT+SdmUKYuAtRHxIvCopMFU5w8msJ9mk65o4sb5bzy4pJZM\nLkf7rdNtfmyIc1bfNGa5FScumITWmBVT5NhTaDiatUQnJHU2M2u1soMa04HHa55vBeYDy4B1EfFE\nmpoV2HlKV0mvA84FFgCfyFEnki4E7kyzqLxSLk0t+yywb1p+e936DW/hSFoKLAXo7+9nyZIlhXa+\nFV56aLMzY7dIld2Pyxh+csTMg1p+8pL3BLTbuvlX2WW2jOEnVX42CmlxTo0ygl0P7X0IfRXl/vjU\njRsd2GiRIr//eY+5K/qy/6NeU8axtOgx8rIlJ4xZZvPffDNXXY/+3Sc59C8/n3vb1lwZx9IbBrZU\nNo18t53rlHFukJdvSFnZqkgU+pvAHwHH1L9QN6XrcuDSiHi+NvAxmoi4oDVNfKW+lcBKgOHh4Whl\n3Xk5oNE6VXY/LmP4SZV3Y6o8yJdxUKyyy2wZw098p651qgpogHtqtFIZv/+9GNCAct7LKodoOqDR\nOmUcS6sKaED3DWms8tzAAQ0rW9lBjSGgts/7DOBh4H3AYApW/KakwZT7otZ84ERJfwdMA16W9Cvg\nrgZ1NkoXPrLtrZJ2B/YmSxjaqE0tSTde5At7wIP5sqvv2yFBDXcxbR1fkI7O0X4zs87g45mZmU2G\nUhOFAgNAn6RDJe1JlqDzKxHxOxHxhoh4A/BCg4AGEfGumjL/C/hsRPxTkzrX1a+fli1Oj08EbomI\nSMtPlvQaSYcCfcAdrdxpMyuPAxpmZmZmZjai1J4aKZfFMmAD2fSrqyLigWbla3NqjKfOupwaVwNf\nSIlAt5EFP4iIByR9iSyx6Hbg7IjY0YLdtRar8g6Pe560L/fUMDMzMzOzEaXn1IiI9cD6UV5/Xc3j\n2pwatWWW56mzNhgSEb8iy93RaJsrgBVjt96qlDewsPmxloweMrpv/KiNzQE8s/LlDdLPnjm9smPa\n8iMPYPm9T1aybTMzs4moIlGomdm4uZeGmXWzPDN75JkSuKxtX3XLplK2bWZmNl6lBzUkLQT6yYaK\nXBURF0u6BvgfwLOp2OkRcU+Ddb8BHAV8LyLeX7M87/qLgb9OTy+KiGvT8ncA1wCvJevx8fGUb8Os\ncnnvnPdqAjYPPzEz6215gjpnTkI7zMysPZQa1JA0BbgcWABsBQYkjQwv+WRE3DhGFZ8nmwL2ow1e\nG3V9Sa8HPg3MAQK4S9K6iHgauAL4CLCJLKixEPj6aA3xRZSZ9bK8QTQPZzEbv82PDZXWC8PMinnp\noXwzFWZ6s/O7r4+sXZQ9+8k8YDAiHomIXwNrgUV5V46IbwPD49z2e4CNEbEtBTI2AgslHQhMjYjb\nU++M64Djx7kNM5tkPoCamZmZmdmIssOK04HHa55vBeanxyskXQB8GzgvIl6UNAc4KyLy9Boca/1G\n256e/rY2WN6WfAHXezphWEmRz2Wrk496+ImZmZmZmY2oqq/U+cB/AXsCK4FzgQsj4k7yDYOc6Pq5\nSFoKLAU476K/5fiTT21V1V3Hs2ZYO5p62Oxc5Zzv32z88s7WMXtm294/MLM2VeQmRl+J7RhL3t9B\nD9E0K0fZQY0h4OCa5zOAoYh4Ij1/UdJq4BNFKs25/hBwTN22b03LZ9S3qcl2VpIFTdj08ONOJGrW\nBtxLw8zMzMysmKlvObLqJpSm7KDGANAn6VCywMHJwCmSDoyIJySJLJ/F/UUqzbn+BuCzkvZJz48D\nzo+IbZKek3QUWaLQ04B/HNfemXWZTggYePhJ99ijL19PGvz/bVa65fc+CfeOnaTUPW7MdrX8yAOy\n75CZVaLUoEZEbJe0jCzAMAVYFREPSLpF0n6AgHuAswDqc2pI+i7wFuB1krYCZ0TEBmDNWOun4MVn\nyAIrkA1P2ZYef4xXp3T9OmPMfAL5hlf4Qss6Xd5hRP6sm1lRebtnA5w0d1aJLWlfeQMGRd7LvHxR\nZjZ+/u6YVav0nBoRsZ5s2tTaZcc2KbtTToyIeFeTcnnXXwWsalLurTmab2ZtxgEVM7NyXLbkhDHL\nXHXLpkloiZmZWX69OamymXUsDz/pPXlnBCojAVvuITIAA1tavn0zM2t/7ulkVi0HNXLyRVRr+H20\nVsh7kXvAE5vzVXjUIRNozeTphOl+zdpRpwx9yRuYK2P4iVmnqzpPU56eTpsefrzl2/W5gRnsVvYG\nJC2U9GNJg5LOS8uukfSopHvS39uarLujpsy6muWHStqU6rxB0p5N1j8/lfmxpPeM1iYz6ww3+G64\nmZmZmZklpfbUkDQFuBxYAGwFBmqCE5+MiBvHqOKXEdEo4PE54NKIWCvpSuAM4Iq6bc8im23lcOAg\n4FuS3pxe3qVNETHhK6UikdIDJrox6yjOFt86J82d5cCGmZmZWYcoco1UxlBS635lDz+ZBwxGxCMA\nktYCiyZSYZrG9VjglLToWmA5dUGNtJ21EfEi8KikwdQemrTJV0lWmLv8WafLO+NNlZ/1Xj3B8XA9\nm0ye0tWamXpYvmEdvZxRIu/359Sj57Z823mPkT5ntW5W9vCT6UDt4LGtaRnACkmbJV0q6TWQTckq\n6aqa8r8h6U5Jt0s6Pi3bF3gmIrbX1ynpA5IuHGPbo7VpJ5KWpu3f+ZW1awrstpmVxb00zMzMzMxs\nRFWJQs8H/gvYE1gJnAtcWD8lKzAzIoYk/S5wi6T7gGebVRoR64B1zV4vKiJWpvax6eHHo1X1diPf\nUbTJ0m3DTzy7hpmZmZnZ+JUd1BgCDq55PgMYiogn0vMXJa0GPtFo5YgYSv8+IulW4PeALwPTJO2e\nemvMSNvJte30uNlyM+siZXSZ9awDZjs79ei5rLltoKV1vvRQzpmLzMzagIdlmVWr7KDGANAn6VCy\nwMHJwCmSDoyIJ1J+jOOB++tXlLQP8EJEvCjpt4F3An8XESHpO8CJwFpgMfDVBtteB1wv6RKyRKF9\nwB2AGrWppXttZqXppl4aZt0iz1SG56wee7y5mZmZWVGlBjUiYrukZcAGYAqwKiIekHSLpP3IAgz3\nAGdBllMDOCsizgQOA/5F0stkuT8urpmh5FxgraSLgB8CV6f1PwDMiYgL0na+RJYAdDtwdkTsSOV2\naVOZ78NEOKmP2c66bfiJWadbc9tAy3tqtFqn3EWt8pi//MgDsmSHZmZmHab0nBoRsR5YX7fs2CZl\nX8mpERH/ARzRpNwjvDqTSe3ynXJqRMQKYEWeNrWrIln/HQAxMzObmF7OEZWnx81Vt2yahJZ0tkK5\nkqwr9OosXZ3CQ4e7X9mzn5iZtZR7aZiZmZmZ2YjSe2pIWgj0kw31uCoiLk65NC4C/gjYAVwREZfV\nrfc24ApgaiqzIiJuSK9dA/wPXp0J5fSIuKfBthcDf52eXhQR16bl7wCuAV5L1mPj4xEx6uwms/af\nNua+ltFTolN6X+R5f6Bz7oB1wvveq1FnDz/pPXm/j75T1j1y3+m+d2O5DTEzy8HHKbNqlRrUkDQF\nuBxYAGwFBiStA+aTzUDyloh4WdL+DVZ/ATgtIh6SdBBwl6QNETFyVfzJiLhxlG2/Hvg0MAeItP66\niHiaLFjyEWATWVBjIfD1ie6vL7a6R96DTicEP6wanTKGv1fl/e7mDdhaeysSBO6Ei47ZM6e3PLC9\n/N4n4d6xk7m2w29bnmEym//mm5PQEitbkfOsVv9eP/dggVmYDnx7S7dtZsWU3VNjHjCYcmAgaS2w\nCPggcEpEvAwQEU/VrxgRP6l5/DNJTwH7AXlv9b8H2BgR29K2NwIL09SwUyPi9rT8OrIZWCYc1HBA\nw6x8/p6ZmeW7sAfYdvf3S26JmZlZtcoOakwHHq95vpWsl8YbgZMkfRD438A5qUdG7ewnr5A0D9gT\neLhm8QpJFwDfBs5LU7/Wrt9o29PT39YGy806SjvcLauCe0SZWa/b/NhQ7ilylx95QMmtMbO8Pac6\noSeYWScqPadGE68BfhURcySdAKwC3lU7+8kISQcCXwAWj/TsAM4H/oss0LGSbIrXCxutPxGSlgJL\nAfr7+1myZMmo5Xv5YqtTcmVYb8nddfSoQ3LX2avBJDMzs14y9bD8s9gsB0+JbFahsoMaQ2S5M0bM\nSMu2AiO3GG4GVjdaWdJU4N+BT40MFwGIiCfSwxclrQY+0WTbx9Rt+9a0fEaDNu0iIlaSBU0YHh4e\nNZEouFu82WTw98zMzMzaTZ4hYZsefnzMMmZWXNlBjQGgT9KhZIGDk4FTgL2BPwQeJZvF5Cf1K0ra\nkyzgcV19QlBJB0bEE2kWleOB+xtsewPwWUn7pOfHAedHxDZJz0k6iixR6GnAP461I53QE8Fd2lrH\nCUDbVy/3iOo2nfC7ambtJ8/Qm5Z127WO0epjSqFEocDr3/7Olm7fzPIrNagREdslLSMLMEwBVkXE\nA5IuBtZI+nPgedKxpy4nxoeAo4F9JZ2eqhyZunWNpP0AAfcAZ9Wvn4IXnyELrEA2PGVbevwxXp3S\n9eu0IEkoZEEFXwybGeQfX3vS3Fklt8QacRDYrLtNfcuRVTfBrK20esakTuKhw92v9JwaEbGebNrU\n2mXPAP9ng7Kv5MSIiC8CX2xS57FNlu+UUyMiVpHl62hU7q25dyInBzTMyudeGmZmZmZmNqKqRKFm\nZuPi4Sdmk8OBejMzawX3jrSyOajRQkWGnzz3o3vzVXrg2yfQImsXRbr8VdlFzjkOzMzMzMysk+xW\n9gYkLZT0Y0mDks5Ly74r6Z709zNJX2my7mJJD6W/xTXL3yHpvlTnZSlhaP26Sq8NStos6e1j1TtR\nvqtlVj730jAzMzMzsxGl9tSQNAW4HFhANo3rgKR1EfGumjJfBr7aYN3XA58G5gAB3JXWfRq4AvgI\n2ewl64GF7Jrs871AX/qbn9aZP0a9ZtbmOmX4iZNSmZmZWdl8U9Ws/OEn84DBiHgEQNJaYBGwJT2f\nChwLLGmw7nuAjSMzlkjaCCyUdCswNSJuT8uvI5vWtT6osYhsOtgAbpc0TdKBwDGN6gX+baI769lP\nzMyqU+T31+N725uHwpl1t7y/wT6vNrM8yh5+Mh14vOb51rRsxPHAtyPiOcimZJV01RjrTk+Pd6lT\n0lmSzsqx/mhtGjf/8JqVrxN6aZiZmZmZ2eSoOlHoHwMjQYxdpmQtKiKubEWjRkhaCiwFOO+iv+X4\nk09tZfVdJW9Ax3dHbaI6ZfiJtbe8v1mz9p9WckvMrEruFWStcMmvD4DVN41Z7tSj505Cazqbj882\nHmUHNYaAg2uez0jLkPTbZMNTPjjKusfUrXtrWj6jUZ05t92s3l1ExEpgJcCmhx+PJu18hYefmHWm\nIgdGf8fNOo9z3FSjyMxfrTb1sNm5yj1ZcjvMOpF/M63TlD38ZADok3SopD2Bk4F16bUTga9FxK+a\nrLsBOE7SPpL2AY4DNkTEE8Bzko5Ks56cRoNEo2k7p6VZUI4Cnk3rNqy3FTvrix2z8rmXhpmZmZmZ\njSi1p0ZEbJe0jCxoMAVYFREPpJdPBi6uLS9pDnBWRJwZEdskfYYsMAJw4UhyT+BjwDXAa8kShH49\nrX9W2u6VZLOivA8YBF4gJSMdo96m8tzJdVCjeziBVfvy8JPWctfr0fn9MTOzsbhng1m1Ss+pERHr\nyQIM9cuPabBsp5waEbEKWNWk3FsbLL+y5nEAZzdpU8N6J8oXW63lgIGZWXXKGDpw2ZITcpXb9PDj\nYxcyMytR3iFMAEfsXV3OuLw34qocDlYG33SwWmUPP+kpDmiYlc/fMzMzMzMzG1F6Tw1JC4F+suEn\nV0XExZK+C+yViuwP3BERx9etNxO4mSzwsgfwjyM9MSTdChwI/DIVPy4inmqw7fOBM4AdwDkRsaFZ\nm8baj1ZHA6e+5ciW1met1epeIu6W2Drd1iPKdxqsl5yTY3YA8AwBZmat1innonl7njjJu9UqNagh\naQpwObAA2AoMSFoXEe+qKfNlGif6fAL4/Yh4UdLrgPvTuiOfylPTMJRm255FlrfjcOAg4FuS3pxe\nbtSmCV8lefaTsfXq+1Oky1+nHHTyynvR7qm5zHZW5PfS02WPrshvsN/L7rBHX86hAw4sV6JXzwfN\nrBxlDz+ZBwxGxCMR8WtgLbBo5EVJU4Fjga/UrxgRv46IF9PT14yjrYuAtRHxYkQ8SpYwdN5YbZoI\n/0Cbla+bemmYmZmZmdnElD38ZDpQm+1rKzC/5vnxwLcj4jnYefaT9Pxg4N+BNwGfrOmlAbBa0g7g\ny8BFERGSPgDMiYgL0rZvr9v2yC3w0drUkGc/MWsP3Tb8xKrhu/Fjy9trrNuSz5mZmVlnKT2nxhj+\nGLhq5EmD2U8eB2ZLOgj4iqQbI+JJsqEnQ5L2IgtqfBi4LiLWAeta1ThJS4GlAP39/SxZsmTU8r7Y\nMjOzXuPgh/WKvDevigyndF4ls/Hxd8dqlR3UGAIOrnk+Iy1D0m+TDQX54FiVRMTPJN0PvAu4MSKG\n0vJhSdeneq7Lu+1RltdvdyWwEmB4eDjGaqcDGmbl8/fMzMzMzMxGlB3UGAD6JB1KFjg4GTglvXYi\n8LWI+FWjFSXNAH4REb+UtA/wB8ClknYHpkXEzyXtAbwf+FaDKtYB10u6hCxRaB9wB6BR2mQlK9Ll\n28N5ekveiHvVCXnz3m3utoSvNvk8RMasvfTqd/K5BzfnK3jUIeU2pI3lPS/p1c+QWdlKDWpExHZJ\ny4ANZNOnroqIB9LLJwM7TaVal1PjMOAfJAVZIOLvI+I+Sb8FbEgBjSlkAY1/Teu/klMjIh6Q9CVg\nC7AdODsidqRyzdo0IZ0y/MRdgM3MrJc4yGhmReWeQQegA87/i8h7reAgjeWR8mReBxwABLAyIvol\nvR64AXgD8FPgQxHxtCQB/cD7gBeA0yPi7tG2UXpOjYhYD6xvsPyYBsteyakRERuBXX5NIuK/gXc0\n2dZOOTUiYgWwIm+bJqoTAhpmnc49eMzMzMzMOsZ24C8i4u6UE/MuSRuB08kmDblY0nnAecC5wHvJ\nRln0kU3ocQVjTOxRdaJQM7NCqh5+YmZmZpOjjGHL7l0wtk7o3VYkIe+s/af55nOFIuIJ4In0eFjS\ng2Szki4CjknFrgVuJQtqLCKbBCSA2yVNk3RgqqchBzVaqFOGn1TJF6PWjpxB26y9+Fgxutkzp3so\n6Rj8u25mtc48dtQb/TZJJL0B+D1gE3BATaDiv8iGp0AW8Hi8ZrWtaVl1QQ1JC8nGxEwBrkrdS94N\nfB7YDXiebJzMYN16+wI3AnOBayJiWc1r7wCuAV5LNozk4ymSU7t+07E4khYDf52KXhQR17ZiXx3Q\nMCufL3bMzOCyJSfkKrft7u+X3BIzM+sEUw8rkCemAElLgaU1i1amWUTry70O+DLwZxHxXHa5nomI\nSLk0x6XUoIakKcDlwAKyCMuApHVk42IWRcSDkj5GFmA4vW71XwF/A7w1/dW6AvgIWYRnPbAQ+Hpd\nmYZjcVJCkk8Dc8gSldwlaV1EPD3hHbaukbdroi+wJ1/Vw086oUumtY6/49bpcic7vHdjuQ3pIe4l\nYma9JAUwdgli1EqTfHwZWBMRN6XFT44MK5F0IPBUWj4EHFyz+oy0rKmye2rMAwYj4hEASWvJxsgE\nMDWV2RvY5awxJQT9nqQ31S5POzw1Im5Pz68DjmfXoEbDsThk43Y2RsS2tP5GsqDIv010Zz38pLXy\nBhacodnMzEZTZKhG3mPFqUfPZc1tA+NtUsfa/NiQg7s2Yb55ZNY70giKq4EHI+KSmpfWAYvJZkRd\nDHy1ZvmyFDuYDzw7Wj4NKD+o0Wg8zHyyGU7WS/ol8BxwFOw8JesYdW6tq3N6Wv8sgIi4ssm2p4+y\nfMIc0DArn09wzKxd5B0CctUtm0puyeRxQMPMzAp6J/Bh4D5J96Rlf0UWzPiSpDOAx4APpdfWk6WQ\nGCRLI7FkrA1UlSj0z4H3RcQmSZ8ELgHOrJ+StagUzGiZ2vFB/f39LFky5vtpZiWreviJmXWeIhfi\neX9fNj82lLunhgMBZmb55P0NLjL7iVUrIr4HqMnL725QPoCzi2yj7KBGo/EwTwLvjYiR2xY3AN8o\nWOeMujob9SttNhZniFenjhlZfmujDdWODxoeHh4zcUnVw098oWdmZjYxrR76WIbNjw1xzuqbxi4I\nrDhxQcu37SCNmZm1k91Krn8A6JN0qKQ9gZPJemLsLenNqcwC4MG8FabxNM9JOiqNzzmNV8ff1FoH\nnKbMUbw6FmcDcJykfSTtAxyXlk2Yh5+Ylc/BOzOz6jigYWZm7abUnhoRsV3SMrKgwRRgVUTcK+kj\nwJclvQw8Dfwp7JpTQ9JPyRKK7inpeOC4iNgCfIxXp3T9evqrz6nRcCxORGyT9BmygAvAhSNJQyfT\ncz+6N1/BA99ebkMmWZFkna3uVlakPmcub18efmLN9HIyYH8nzKzXtfoYUORcsJePP2btoPScGhGx\nnizAULvsZuDmBmV3yqkREW9oUued7DrN6045NUYbixMRq4BVuXaggKqHn1j7mj1zeqVdlauUN5hU\nRiAp73zcT7Z8y1aF+x77mU8srSdUeUzx8JOxFQkyVvmblXvbT9xdbkN6SKfcYPOx1DpNVYlCu5ID\nGtZMrwY0yuA70taMT8Ksl+SdeWV4eLil23VAw6x87jFsVoyDGhWZ+pYjW15nJyQ3K0MnnGB1Qhur\nlvfuxaz9pzmAaG2pV3+D8+q238Eq96fKRKFmZmbtpvSghqSFQD9ZTo2rIuJiSe8GPk+WqPR54PSI\nGGyy/iHAFmB5RPx9WvZTYBjYAWyPiDkN1lPa7vvIcmqcHhF3p9cWA3+dil4UEde2Yl89/MTMiqp6\nyEQ39Xyp+r2sUt797qb/7yKKDJno1fcoLw8/sWYOuP1rPHnU+6tuRleYtf8099YwK6DUoIakKcDl\nZDOcbAUGJK0DrgAWRcSDkj5GFmA4vUk1l5ASgdb5w4j4+Sibfy/Ql/7mp23Ol/R64NPAHCCAuySt\ni4ini+5fPQc0zMrXbd+zXr0IL4PfS2vGF+Gt4/fSmnFAo3Uc0DArpuyeGvOAwYh4BEDSWmARWTBh\naiqzN9Dwtkia8eRR4L/Hse1FwHUpYejtkqZJOhA4Btg4MuOJpI3AQuDfxrENM5tk7hFlk8mBEusV\nDlaYmVmnKjuoMR14vOb5VrJeE2cC6yX9EngOOAp2ntJV0uuAc8l6eXyirt4AvikpgH+JiJVp/dop\nXRtte/ooy3chaSmwFKC/v58lS5aMurO+2GpvNwxs4YRp2/MV3vuQXMWKXPC4S7M1UsaQiSo/l1UO\nAemU4SdFhkF007CSKj+X3TZkopdn1Oqm/8cyVPkb2CnDTzphBpKqh59UOXOd2XhUlSj0z4H3RcQm\nSZ8kG2JyZt2UrsuBSyPi+Sw9xk7+ICKGJO0PbJT0o4i4rXZK11ZIwZKVAMPDwzFWeQc02lvugEYJ\nOuGCo1N02/esEy7Ci+iI6Qk7RLftT5W67UK4VwMa1t46IaBRRJUX7A4WmBVTdlBjCDi45vkM4Eng\nvRGxKS27AfhGg3XnAydK+jtgGvCypF9FxD9FxBBARDwl6WayYS635dj2UPo7pm75rcV3zcxaKe8B\n/IiZBzlI1CXK6CWSlwMGNpmq7HHTqxdHed/LMnoQFQk65d2+j31mZs2VHdQYAPokHUoWTDgZOA34\nuKQ3R8RPyIaXPFi/YkS8a+SxpOXA8xHxT5J+C9gtIobT4+OACxtsex2wLOXxmA88GxFPSNoAfFbS\nPqncccD5LdpfMyuZT+rMzKwXnXns/DHLbHr48THLmJl1m1KDGhGxXdIyYAPZlK6rIuJeSR8Bvizp\nZeBp4E9h55wao1R7AHBzGpKyO3B9RHwjrV+bU2M92XSug2RTui5Jr22T9BmygAvAhSNJQ2388t6V\n8N1RM+tWeccgOzDX3vIez7ptSEteHvpSjVn7T2N4eDhXubx6tRePmXWf0nNqRMR6sgBD7bKbgZsb\nlK3NqVG7fHnN40eAI5ts68qaxwGc3aTcKmBVrh2wtpf3BOukuQvyV9oBB/peDRC5C671Cn/OrZlO\nSRRaRuCnm5LnFpE3AFEkqJHX1MNm5yr3ZMu3bGaWT1WJQs3MxqXbTlTNzMbjsiUn5Crn4QhmZtbt\nSg9qSFoI9JMNP7kqIi6WdCzw98CewF3AGRGxvW69twFXAFOBHcCKiLghvXYosBbYN63/4Yj4dYNt\nnw+ckdY/JyI2NGtTy9pK9PkAACAASURBVHfczApxsKK9eYhZd/A01GZm1s7yHqeKDp+av9de42mO\ndYhSgxqSpgCXkyUD3QoMSFoHXAu8OyJ+IulCYDFwdd3qLwCnRcRDkg4C7pK0ISKeAT5HNt3rWklX\nkgUurqjb9iyyxKSHAwcB35L05vTyLm2KiEmdJzJvVz7afxQE0H1ji1s9P3e3XUh0Qhs7hd9L63QO\nZE2+zY8Ncc7qm3KVPfXouS3ddtXH+/se+5k/c9ZQGUNvepXzrVinKbunxjxgMOXBIM1E8n8Bv04z\nnwBsJJt9ZKegRs3rRMTPJD0F7CfpWeBY4JT08rXAcuqCGsAiYG1EvAg8KmkwtYcGbVoETGpQw8zM\nzMyKm//Gg8cs44CxmVnvKDuoMR2oHcy5FTgK2F3SnIi4EzgROBhA0hzgrIg4s7YSSfPIhqo8TDbk\n5Jma4Spb03bqZ0+ZDtxet+2R2wv1bRp7jiwzK1WVvVmK3N3Ju+1eTWZXJd+97R5VJsHM2xPBnzdr\npureLNb5qj43aHWPZbOyVZEoNMiGhVwq6TXAN8lyXpCCHPUBjQOBLwCLI+LlNJVr44qbzJ4yXpKW\nAksB+vv7WbJkSauqNpuwoge8PHe2zJrxSXrvcR4Vs87ji8z29tJDm3OW9FwOZkWU/Y0ZIvXCSGYA\nQxHxA+BdAJKOA97cYF0kTQX+HfhURIz0uvgFME3S7qm3xoy0nVzbTo+bLd9JRKwEVgIMDw9Hk300\ns0lU9d0LMzMzMzNrH2UHNQaAvjRbyRBZD41TJO0fEU+lnhrnAivqV5S0J3AzcF1E3DiyPCJC0nfI\nhq2sJUsy+tUG214HXC/pErJEoX3AHYAatalVO2ztq8jdCyebGl2Vd2aPmHlQ7sDGHn05E/KatYDv\nkJoZ9G7vpSLnTlX+XubuLbH3IeU2xMxaptSgRkRsl7QM2EA2feqqiHhA0uclvR/YDbgiIm6BXXJq\nfAg4GthX0umpytMj4h6yQMhaSRcBPyQlGa3NqZG28yWyBKDbgbMjYkcqt0ubynwfzKy1evWEMa8y\ncoSY2fjl/U76+9h7Wp2nyVqnyPfR/z9m1Sp9wFZErAfW1y37JPDJBmVfyakREV8Evtikzkd4dSaT\n2uU75dSIiBU06AXSqE1mZmZmZmZm1lmchcbMzMzMOsZVt2yqugnWhvIOaekruR1mNvkc1DAz6xBV\n5zIxmwjnKqpGJ0xDXeWU3mXohDaamXWT3cregKSFkn4saVDSeWnZsZLulnS/pGslNQyuSNoh6Z70\nt65m+TWSHq157W1N1l8s6aH0t7hm+Tsk3ZfadJlGmyfWzMzMzMzMzNpSqT01JE0BLgcWAFuBgRSc\nuBb+f/buPW6usrz3/+fLSakmHERoSDjVhv6kEakEwv61KqKGlLJN2loEUYIIEYEt3dsDiScsCYJH\niuILjPAQsosEiyCphsZoTfPbbRMDiAGCbQKCyQOSSoCk25aT1++PdT/JZDLzzFpP1nrm9H2/Xnll\n5p77XrNmnjmsudZ9XxdvjYh/k3QZWQWTGxps4j8jomHAAvhobVWUBve9P3ApMBkI4B5JiyPiaeBa\n4DxgFVlujWnAXSN5jCOVuyrD6rXV7kgHy5ud+ujDxle8J7vOZ23MupMTxVkn6obvPbPRlvfzeqIn\njZn1nKqXnxwPrE+JPZG0CPhz4PmI+LfUZxkwh8ZBjV1xMrAsIjan+14GTJO0HBgbEStT+0JgBi2C\nGi7VN7w1jw3m6ueDfjMb0s7p7v3Kz6VZ9XptOY3ZruqWcr/WvapefjIe2FBzfSPw28AeqXwrwDuB\nQyAr6Srp+pr+L5d0t6SVkmbUbftySWskXSXpZQ3GN7rv8enfxgbtO5E0K93/3d9ZdHPex2xmZmZm\nZmZmo6AdiUIDOB0YCkZ8H3gJdizpmhwWEYOSfgf4B0n3R8TDZDM7fgnsBcwHLgEuazB+13Y0Yn7a\nPqse3hBlbbeIXpvZUCRS+8Kzv6hwT6yRshPKVXHfVd2/2a7K+/lWxfvMZ3t7g2cvlaed3xP++5iN\nXDuPRa17VR3UGCTNwkgmAIMR8S/AGwEkTQWObDQ4IgbT/4+kZSN/ADwcEU+kLs9JuhH4SJP7PrHu\nvpen9gn1+1TkQdnocN6R/tLOL6e8+Vsy/Vk0Ku8Pdk8bNTPrLbmPx6w0DmqbFVP10flqYKKkI8gC\nB6cD75Z0YERsSjM1LgEurx8oaT/g1xHxnKQDgD8EPp9uGxcRT6SqJTOABxrc91Lgs2k7AFOBORGx\nWdIWSSeQJQo9C/hqmQ/azMzMRsdX3vdnLftc/w+rRmFPzMzMrB0qDWpExIuSLiILMOwODETEg5K+\nIOlUspwe10bEP0CWEwM4PyLOBV4LfF3Sb1K/KyNi6JT8zZJeDQi4Dzi/fnwKXswlC6xAtjxlc7p8\nAbAA2JssQeioVj5ptyqypjsTu3WzQmehumBmUJHZEr00fdOJyMzMrBXPBDbrPZXPo46IJWRlU2vb\nPgp8tEHfbTkxIuKfgdc12eZJTdp3yKkREQPAQJN+k3I/CDMbMS9bMNtRFYEk52IYfUWCaGXz1PTe\n0UuBZTOzdqm6+omZmZmZmZmZWSUqn6khaQA4FdgUEZNS2/7ArcDhwKPAaRHxdN24w4A7yAIvewJf\njYjr0m3Hsn35yBLg4oiIuvECrgZOAX4NnB0R96bbZgKfTF3nRcRNZTzWbom2r3nMeVHNLJP3LG47\nz0qbDedDN97eso+XSNpo6pbjwbIVSrq9z6HV7YiZ9Z3RSOO/ALgGWFjTNhv4YURcKWl2un5J3bgn\ngP+WEoW+EnhA0uKIeBy4FjiPLNHnEmAaO+fF+GNgYvo3JY2ZkgIqlwKTycrL3pO2+zSjyFPtzczM\nRoeXa3S2IkFT/33MzKxe5ctPImIFsLmueTowNDviJrIKJvXjno+I59LVl5H2VdI4YGxErEyzMxY2\nGp/uY2FkVgL7prEnA8siYnMKZCwjC4qYmZmZmZmZWRcZjZkajRwUEU+ky78EDoKdqp8g6RDge8Dv\nAh+NiMdTn40129oIjE/9zwdIy1TGAxsa9GvWbmZmZmZmFeuGGTdFlmu/67ijcvV74dlfjHR3mnKi\naLP2BTW2iYiQFOlyffWSDcDRkg4GviPpthbbuq7MfZM0C5gFMHveFcw4/cwyN289wF8Q1ol67XVZ\nxfr0dj5Hee+7X9flm5l1AufiMese7QpqPClpXEQ8kZaEbBquc5qh8QDwRuCfgAk1N08AGoVSB4FD\nGvQbBE6sa1/e5H7nA/MBVj28IRr1MTMzMzMzM7P2aFdQYzEwE7gy/X9nfQdJE4CnIuI/Je0H/BFw\nVQqEbJF0Almi0LOArza5j4skLSJLFPpsGrsU+GzaJsBUYE7Jj8/MzMzMbFQVSbrqpPW9oddmZ5qN\nxGiUdL2FbGbEAZI2klUeuRL4lqT3A48Bp6W+tTk1Xgt8KS1NEfDFiLg/bfYCtpd0vSv9q8+psYSs\nnOt6spKu70u3bZY0F1idtnVZRNQnMu1pnk5nnajIl7Kn5ZtVrxu+K7phH83MOoGPnWzPiUe3excq\nU3lQIyLOaHLTWxv03ZZTIyKWAQ2f+dRvUoP262ouB3Bhk/EDwECrfTezzuMvZTMzMzMzG9L2RKFm\nZkXc/9jjDmxYX+i1aeRF9tEzMMys3fr5WKMbvlPMahUKakg6DJgYET+QtDewR0RsrWbXzMysVt4f\nuVWsr/UBjpn1Iucj6GxFAgvt/Fvm/Y6cWPF+mPWr3fJ2lHQecBvw9dQ0AfhOizEDkjalyiVDbX8h\n6UFJv0k5NJqNnSbpXyWtlzS7pn2BpJ9Lui/9O6bJ+JmS1qV/M2vaj5V0f9ruVyQp3zNgZp2gn8+c\nmJmZmZnZjorM1LgQOJ6s4ggRsU7SgS3GLACuARbWtD0A/BnbgyM7kbQ78DXg7cBGYLWkxRGxNnX5\naETcNsz4/ckSkk4GArgnjX8auBY4Lz2OJcA0UqJRq16Rs71Fpl5b//DyE+t2fv2Wx8+lNdPOmW1m\nZja6igQ1nouI54cmNkjagyxg0FRErJB0eF3bQ2n8cEOPB9ZHxCOp7yJgOrB2uEE1TgaWDVU1kbQM\nmCZpOTA2Ilam9oXADBzUMLMesuaxwdx9nbugc3nJjzXjH+JmnSXve3JiBefrHNw1K7D8BPhHSR8H\n9pb0duBvgb8ra0ckHSxpSbo6HthQc/PG1DbkcklrJF0l6WVp/GRJ17cYPz5dbrZdM+tw/vI2MzMz\nM7MhRWZqzAbeD9wPfIBs6cb1w44oICIeB07J0XUO8EtgL2A+cAlwWW052LJImgXMApg97wpmnH5m\nmZu3FnyWsjeU/Xcssvwk7313y1InvyfKk/c15DPireV9jhyQ7GxermGdqMj3cztfm6877GC/N8za\nKHdQIyJ+A3wj/avaIHBIzfUJqY2IeCK1PSfpRuAjTcafWDd+eWqf0Gi7jUTEfLLACase3jDsUpui\neu0gsFv202y0+ODGdlWR15A/g83M2uvck6a07LP53n8ahT0x6z9Fqp+cKuknkjZL2iJpq6QtFe3X\namCipCMk7QWcDixO+zEu/S+yfBgPNBi/FJgqaT9J+wFTgaUpILJF0glp/FnAnRU9BjOrgH+8mZmZ\nmZnZkCLLT/6arGrJ/RGRa9aCpFvIZkwcIGkjWUWSzcBXgVcD35N0X0ScLOlg4PqIOCUiXpR0EVlw\nYndgICIeTJu9WdKrAQH3Aeen+5oMnB8R50bEZklzyYIjkC1P2ZwuX0BWlWVvsgShThJqleuWOutV\n6IalHb22rMPJP9uj115HVh6/Nsw6h9+PvaHo8fKU1xzSupN1rSJBjQ3AA3kDGgARcUaTm+5o0HeH\nnBoRsYQsb0d9v5Oa3NcOOTUiYgAYaNJvUqt9N7PmuiFQ0W7O2WBm1j5V/HD1TEHbVXtOPDpfxx4L\nvDiQZFUrEtT4GLBE0j8Czw01RsSXS98rMzMzMzMzM7MWigQ1Lgf+A3g5WeWRliQNAKcCmyJiUmr7\nC+AzwGuB49PMiWbjdwfuBgYj4tTUdgSwCHgVcA/w3oh4vsHYOWTVWl4CPhQRS1P7NOBqsmUt10fE\nlXkeS7sUOSOeNwraa2caeu3xmJmZmZnP8JtZPkWCGgcPBSYKWABcAyysaXuALDfH13OMvxh4CBhb\n0/Y54KqIWCTpOrLAxbW1gyQdRZZc9PeBg4EfSDoy3fw14O3ARmC1pMURsbbg42qqnVPJe62iivWG\nKg5I8gb7qijp2g3LRbolh4s/s/pLFa+1sj8LrP/486W1vO+fiRXvh3UefwZbp8hd/YRs6cnUIhuP\niBVkiUFr2x6KiH9tNVbSBOBPgOtr2gScBNyWmm4iq4BSbzqwKCKei4ifA+uB49O/9RHxSJrdsSj1\nLUU3/Ngx63bO52FmZmZmZkOKzNT4IPARSc8BL5BVH4mIGDv8sHxqq5+kpr8my+Mxpqbbq4BnIuLF\ndH0jMD6NfwcwOSI+ndpW1ozb1o8s4Wlte+ui0ma7qFtmAuQ9Y/XCujX5N7rPoSPcm8bWbnrGgQ0z\ns5L5TGpv8N+xPN1yrNHOWY9+vVmnyB3UiIgxrXuNXG31E0lDeTjukXRizvGLgcVl7pOkWcAsgNnz\nrmDG6WcO2/91hx3ct7M1PP3MrLfl/Wx713FHlb7NdvLU9M6WN8B6/zNFzuHk4+8z60RV5GIzM+t0\nLb/lJf0/EfEzSW9odHtE3Fv+bvGHwDsknUKWmHSspL8B3gvsK2mPNFtjAjDYYPwgUFuMuLZfs/ad\nRMR8YD7Aqoc3tCxl2w0H6GbdrlvOnJiZmZmZWfXynLr4X2SzFb7U4LYgy3FRqoiYA8wBSDM1PhIR\n70nXfwS8kywfxkzgzgabWAx8U9KXyRKFTgR+TLZkZmKqoDJIlkz03WXvv5lVx8tPzDrLmseanhvY\nwdGHjW/dyfpSO2cMVHFCyjO8ytMty3fNrLkmFVE/A5wH/Hvq9vGIWJJua1jFdDgtgxoRMStd/OOI\n+K+6HXx5iwdwC3AicICkjcClZIlDvwq8GviepPsi4uQGOTWauQRYJGke8BPghnRf23JqRMSDkr4F\nrAVeBC6MiJdSv4uApWQlXQci4sFWz0Fe/bz8pIoDEldGGH15Dx5eePYXFe9Ji/vPm9Oj5HweZmZm\nZmZWyAJ2rogKWUXTL9Y2NKtiOvRbvpkii0z/GahfgtKobZuIOKPJTXc06Lstp0Zd+3Jgec31R8iq\nmNT32yGnRkRcDlzeoN8SYEmzfd4V/RrQMBtNE9scUDEzMzMzs3wiYoWkw3N231bFFPi5pKEqpv8y\n3KA8OTV+m6xyyN6S/oBsCQfAWOC3cu6cmVkp1u1zqAMbLTjAambWn9q5lGfPiUfn77x6bXU70sGc\nnNV6UW1xjWR+yk3ZykWSzgLuBj4cEU8zfBXTpvLM1DgZOJssqeaX2B7U2AJ8PMf4vlFkGYR/dJiZ\n5ZP387LI2mtXbCqPc2WYWb9bu+kZ8PeF9ana4hoFXAvMJcvROZcsznDOSPdht1YdIuKmiHgLcHZE\nnBQRb0n/pkfE7UP9JM2sHytpQNImSQ/UtH1B0s8krZF0h6SGR5aNxqb2z0galHRf+tcwB4ekaZL+\nVdJ6SbNr2o+QtCq13yppr1bPgZl1Ds/SMDMzMzPrXhHxZES8FBG/Ab7B9vQSw1UxbSp3To2I+HaL\nLhcDN9W1LWDnpCDLgDkR8aKkz5FVObmkwfYajR2yU1KRWpJ2B74GvJ1syspqSYsjYi3wuTR+kaTr\nyDKrXtvisZntEp/tLY+Xn1gzRd5nrqDTG7Y8lDNp8Lim6b/MrIP5+MmsN0kaFxFPpKt/CgxNZGhW\nxXRYRRKFtty3+oZGSUEi4vs1V1eSlWfdScGEIvWOB9anpKJIWgRMl/QQWQnaoTKuNwGfwUENq+Mv\nUWvG1XaG5/dOefxas07Uz5XezMysuCYVUU+UdAzZ8pNHgQ8ADFfFdDhlBjViBGPOAW4FKFDSFRok\nFakbPx7YUNN/IzAFeBXwTES8WNPuxcBmXcSzNMzM2scBDTMzK6JJRdQbhunfsIrpcCqdqTFsZ+kT\nZNGXm6F5SdcGGiYVKTC+yD5uy+Q6e94VzDj9zNK27TNwZiOzbp9D8y8d8KwBa6KKGSV5f+xV8flf\nxQ/NNY+1XMIKOFFoHu18bZiZVcVJt61T5A5qSNq9xdSPfyqwrbOBU4G3RkShGR4R8WTNdr4BfLdB\nt2YJRp4C9pW0R5qtMWzikdpMrqse3jCSmShmQLH1+91wFqxQ2TZ/kdkouf+xx/2jsM+MfW3OzyJ/\nDJWmW5afdMM+WmfzD/Hy+P1oVWtZ/aTGulS55KhGN0bERXk2Imka8DHgHRHx6wL3PzR+XM3V2qQi\ntVYDE1Olk72A04HFKYDyI7bn8ZgJ3Fl0H8ysfZzg0ZpxQMOsev5xYmZmnabI8pPXkwUHrpe0GzAA\nLIqILc0GNEkKMgd4GbBMEsDKiDi/PqdGo7ERcQPw+UZJRWrHp8oqFwFLgd2BgYh4MO3WJcAiSfOA\nnzDMep5O4Cix2Y7Wbnqm9MCG32dmZmY2Ul6GYdZeRUq6biWrIfsNSW8GvglcJek2YG5ErG8wJndS\nkPqcGE3GEhHvzTl+CbCkQb9H2F4H12yX5D0zXMUPcbMy5H0Nd8PZWS8/sTL4NTS8bll+0k5Fnh+/\n3szMdl3u5SeSdpf0Dkl3AH9NlqDzd4C/o0HwwMy2c0CjPH4urRn/ODCrngMaZmbWaYosP1lHlo/i\nCxHxzzXtt0l6U6MBkgbIEoJuiohJqe0LwH8HngceBt4XETvNxZL0KLAVeAl4MSImp/b9ycrAHk62\n/OS0iHi6wfiZwCfT1XkRcVNqPxZYAOxNFoy5uGiyUrNe9cK6Nbn6FUoUWjLPejEz6y0OlHQ2f+ea\nWacrkij06Ih4f11AA4CI+FCTMQuAaXVty4BJEXE08G9kOTaaeUtEHDMU0EhmAz+MiInAD9P1HaTA\nx6XAFLKlJpdK2i/dfC1wHjAx/avfP7PSeQ2lWfX8w8isep4RZWZmnabITI0XJV0I/D7w8qHGiDin\n2YCIWCHp8Lq279dcXcn2SiR5TSdLIApwE7CcLPlnrZOBZRGxGUDSMmCapOXA2IhYmdoXAjOAuwru\ng1khPstRHj+X1ox/bJlVz8FDMzPrNEWCGv8b+BlZwOAy4EzgoV28/3PIlpJQX/2ErLrJ9yUF8PWI\nmJ/aD4qIJ9LlXwIHpfGTgfMj4lxgPLCh5n42prbx6XJ9u5nR3mUleXnWS2tFftz7B4o1c/Rhnf/1\nuOWhfEvmGPeGanfErGKurlGevN97DpR3tjWPDbZ7F6yDFAlq/G5E/IWk6RFxk6RvAv/fSO9Y0ieA\nF4GbYefqJcAfRcSgpAPJyr/+LCJW1G4jIiIFPYiIu4FzR7o/TfZxFjALYPa8K5hx+pllbt76iPNA\nWDOuJFAeVz8pV94Dxm4IfrztiXv5gQMbpfBnVmcrcqxRRQDEQZXhtfvv0y7vOu4obl29ttRtFvnu\ncQCk9xXJqfFC+v8ZSZOAfYADR3Knks4mSyB6ZrMknRExmP7fBNzB9jKsT0oal7YzDtjUYPggcEjN\n9QmpbTBdrm9vKCLmR8TkiJjsgIbtCgc0rBn/OCiPAxrWjAMa5fFnljXTSz/C263XnsuyAxpFdUPw\n3XZNkZka81OyzU8Ci4FXAp8qeoeSpgEfA94cEb9u0ucVwG4RsTVdnkq25IV03zOBK9P/dzbYxFLg\nszXJQacCcyJis6Qtkk4AVgFnAV8t+hg6Vd4oZDsP/Iv8uPeBk1n18n4e+P04+vx5aWZmZSnyPeGT\nBNZtWgY1JP2vmqvvS/9/Lf3/ihZjbyFL6nmApI1kFUnmAC8jW1ICsDIizq/LqXEQcEe6fQ/gmxHx\n92mzVwLfkvR+4DHgtHRf23JqpODFXGB1GnPZUNJQ4AK2l3S9CycJtVHQz8tPem3tatnrmnttKnc7\nl4D02vKTfv7cKFuvLT9p5+dGr31mVaGKvEbd8Flw1IH7lj7DoNe+U3ptBkZeVSw/MauVZ6bGmPT/\n7wHHkc2UAPjvwI+HGxgRZzRovqFJ3205NSLiEeD1Tfo9Bby1QfsOOTUiYgAYaNJv0nD7bVa2bjgY\nsfbotR8H7Qwq9FJAA/y5UaZeCmhAez83eu0zy8pTxQ92f6f0Bgc0rGotgxoR8VcAklYAb4iIren6\nZ4DvVbp3XabIAWjeN7c/UM3M8qkiCNCvZ9W6xdjX5qzY5D+jmZlZzyqSKPQg4Pma68+nNjMzMzMz\nMzOzUVckUehC4MeS7kjXZ5DlpmhK0gBZlZNNETEptc0FpgO/IatccnZaelI77hjgWmAs8BJweUTc\nmm5bALwZeDZ1Pzsi7mtw3zPJkpoCzIuIm1L7sWzPqbEEuLhZBRYzM+seRWZVeGmHWfWciLg3eMaa\nmXW63EGNiLhc0l3AG1PT+yLiJy2GLQCuIQuIDPlCRHwKQNKHgE8D59eN+zVwVkSsSwlE75G0NCKG\nPlU/GhG3NbtTSfuTJSWdDEQavzginiYLlpxHVv1kCTCNHkkW2s5yRd3wA6Ffa4O3WzdU5ek1znDe\n2gvr1uTruM+h1e6I7ZItD+X8O/ZYTg1rLe93j0s92miqInl6FcHDXkpga/2hyEwNIuJe4N4C/VdI\nOryubUvN1VeQBR3qx/1bzeXHJW0CXk3+VbEnA8uGKp5IWgZMk7QcGBsRK1P7QrIZJz0R1DAzMzMz\nMzOrV9VJ2yljxrTuVLFCQY2ySLocOItsCclbUtu2kqx1fY8H9gIermm+XNKngR8CsyPiubrx44EN\nNf03prbx6XJ9e19pZ1TVMyBa67Xpuj4LZmZmZcn7HZl3pka3yHv8VMUxXtmlzKvSa8dPZpZfW4Ia\nEfEJ4BOS5gAXAZfWl2QFkDQO+N/AzIj4TWqeA/ySLNAxH7gEuKzR+F0laRYwC2D2vCuYcfqZw/bP\nPZ0ZaNNT35M89a3/VDF906zTtPsHgtloKRKAyPu57oC6NdOvxwZF3md53z/+nrJOUaT6SRVuBv68\n0Q2SxpKVjP3E0HIRgIh4IjLPATcCxzcYPggcUnN9QmobTJfr2xuKiPkRMTkiJrcKaJjZ6PAZFjMz\nMzMzGzLq0wUkTYyIdenqdOBnDfrsBdwBLKxPCCppXEQ8IUlk+TAeaHA3S4HPStovXZ8KzImIzZK2\nSDqBLFHoWcBXS3lgZn2knZH51x12sAMbZgbAD8a9gbc9kTvVl5lZbkWONTxr2Ky9Kg1qSLoFOBE4\nQNJGsookp0j6PbKSro+RKp/U5cQ4DXgT8CpJZ6fNDZVuvVnSqwEB9zUan4IXc4HVaexlQ0lDgQvY\nXtL1LkpMErrnxKPzd169tqy77SpVVGVo5zrTXuNphNZMO6fr9utUYcvn8DM/2LrTP6yqfkeG4dew\nmZlZdSoNakTEGQ2ab2jSd1tOjIj4G+BvmvQ7qdX4dH0AGGjSb1KrfTezzuRZGmZmZmZmNsTZKnuI\nzwQNr9dmIXTL37vs/fTyk3I56apZ9ynyfuy1z8teezy9pIrZuFVs08x6j4MaHa7Ikole+9HeS/y3\nsdFURYZz6z/tfG3k/XEy8dlfsPnef8rR04c7ZmZmvary6ieSBiRtkrRTQk9JH5YUkg5oMnampHXp\n38ya9mMl3S9pvaSvpKSh9WOVblsvaY2kN7Tarpl1Pp+lMzMzMzOzIaNx6mIBcA2wsLZR0iFkVUl+\n0WiQpP3JEotOBgK4R9LiiHgauBY4j6yCyRJgGjsn/PxjYGL6NyWNmdJiu6PGU+R6Q96ZNJ6pUR4v\nPzEbuX5etmDWD15YtyZ/530OrW5HzMxGUeVBjYhYIenwBjddBXwMuLPJ0JOBZUNVSyQtA6ZJWg6M\njYiVqX0hWWnX+qDGdLKSsAGslLSvpHFk1Vh22i5wy0gfY6eo4gB0ypgxpW6vigNqB4jK4+e8tV4L\nUPXS37LIZ+BEDGc88QAAIABJREFUF0OyUVT2Z2uvBZy8DM7MzHZF5ctPGpE0HRiMiJ/WtU+WdH26\nOh7YUHPzxtQ2Pl2ub0fS+ZLOzzG+UXuj/Zwl6W5Jd39n0c0FHqGZVaXXDubNzMzMzGzkRj1zlqTf\nAj5OtvRkB/VlWYuKiOt2YdcabW8+MB9g1cMbosxt2+hzBu3e4OUn1u08I6o8e048Ol/H1Wur3REz\nsw7XLTOi+nXGmu2adqQDfw1wBPDTlN9zAnCvpOMj4pc1/QbJlooMmQAsT+0T6tobpfofBA5p0K/Z\ndneZ1zH2jrwflBOfbZgSZmf+e5t1pSIVqMo+wGrnfZuZ9aq8n63+XDXrHqO+/CQi7o+IAyPi8Ig4\nnGz5xxvqAhoAS4GpkvaTtB/ZzI6lEfEEsEXSCanqyVk0zsuxGDgrVUE5AXg2jW243UoerJmVzgcZ\nZmZmZmY2pPKZGpJuIZsZcYCkjcClEXFDk76TgfMj4tyI2CxpLrA63XzZUHJP4AKyqip7kyUIvSuN\nPx+2LUNZApwCrAd+Dbwv3Tbcds2sw3n5Sf/xWbXOtuaxRpMlG+uW6c/W/TyFvbW8j73IrDGz0eIl\nmlZrNKqfnNHi9sNrLu+QUyMiBoCBBmPuBiY1aL+u5nIAFza5z4bb7RdFvsCnvOaQ1p2spSIHBL1W\nXaNftfNA2T8crRP5dWnNuNRwb+jnH5n5l6C3Y+W/We9rS/UTM7OR8gGtmZmZmZkNqTRcKGkAOBXY\nFBGT6m77MPBF4NUR8au62w4D7iALuuwJfHVoFoak5cA44D9T96kRsanBfc8B3g+8BHwoIpam9mnA\n1cDuwPURcWU5j7YaPmvff/LO6qjitZF3Gnk7z8Z4+Yl1u147m5l3BkaRZSq99hxZefzasF3lY+vO\n5gphNhJVz4FaAFwDLKxtlHQIWYLOZqUjngD+W0Q8J+mVwAOSFkfE0Kv8zLQEpSFJRwGnA78PHAz8\nQNKR6eavAW8nS1C6Om3Xtd7MzMzMrKvlLnMMLnXcwYqcvGnnj/sqTjI5WGEjUenyk4hYATRKwnkV\n8DEgmox7PiKeS1dfRvH9nA4siojnIuLnZMlCj0//1kfEIxHxPLAo9TWzLuFZGmZmZmZmNmTUs9VI\nmg4MRsRPs4qs29q3VT5J1w8Bvgf8LvDRmlkaADdKegn4NjAvIkLSO4DJEfFpYDywsqb/xtQGsKGu\nfUqpD9DMKlXF8pNeS+TqsxzWTJHXetnvs6MPG19oCYqZ9S5XtTKzMo1qUEPSbwEfJ1t6soMGlU82\nAEdLOhj4jqTbIuJJsqUng5LGkAU13gssjIjFwOKS93cWMAtg9rwrmHH6mcP2X7fPofkPGLvgh5G1\nR+4M2vscWu2OmHWZQsGcZ5utfrSqOKBhZfB6+/L063PkgIpZ7xnt6ievAY4AfirpUWACcK+k3242\nIM3QeAB4Y7o+mP7fCnyTbElJvUGgthbphNTWrL3Zfc+PiMkRMblVQANcx9tsNPggw8zMzMzMhozq\nTI2IuB84cOh6CmxMblD9ZALwVET8p6T9gD8CrpK0B7BvRPxK0p5klVV+0OCuFgPflPRlskShE4Ef\nAwImSjqCLJhxOvDukh+m9ZG8Cbny1y9vr7xVDNrJ1U/MzMysakVmsuyZ98Smk7OaVaLqkq63ACcC\nB0jaCFwaETc06VubU+O1wJckBVkg4osRcb+kVwBLU0Bjd7KAxjfS+G05NSLiQUnfAtYCLwIXRsRL\nqd9FwNI0fiAiHizr8a7d9Ixna3SwIl9O/tFso6XI67Kd5X7zamfOhl7T7vwteV+bef+O3RA0NTMz\ns+5TaVAjIs5ocfvhNZe35dSIiGXATqfAI+L/Asc22dYOOTUi4nLg8gb9lgBLcj2AghzQMKuefwib\nmZmZmdmQUa9+Yla2vMGkWyuY8pf3TOrE0u+5f3n5iZlVqRtmRJl1oiLfzT4RaGZlclCjRF5+Ys3k\nzb1RiA+ozaxHlR247JYqDw7YmpmZFVdp9RNJA5I2SXqgpu0zkgYl3Zf+nZJ3bGrfX9IySevS//s1\nGT8z9VknaWZN+7GS7pe0XtJXJKmsx+uAhln1fNBvZmZmZmZDqp6psQC4BlhY135VRHxxhGNnAz+M\niCslzU7XL6ntIGl/4FJgMhDAPZIWR8TTwLXAecAqstwa04C7ij0sM2sXLz8xs15VdnJWMzOzflB1\notAVkg4veex0sooqADcBy6kLagAnA8siYjOApGXANEnLgbERsTK1LwRmUFJQo8j62rwHJN0yZbZf\n1xbn/Tt6Fo+VoV/fZ2ZmRTnwM/p8zNqaA5dm1ah0+ckwLpK0Ji0x2Q9A0sGS8lQlOSginkiXfwkc\nlMZPlnR9ah8PbKgZszG1jU+X69sbkjRL0t2S7v7OoptzPTAzq5a/6M3MzMzMbEg7EoVeC8wlWxYy\nF/gScE5EPA40zK/RTESEpEiXt5WELUtEzAfmA6x6eEOUuW3rL0XOCnhWx/C8/KS1Is9Pt5xZMzPr\nZ1UcG3TD8Ya/o8qz5rHB3H2PPqzpOV+zjjTqQY2IeHLosqRvAN8tuIknJY2LiCckjQM2NegzyPYl\nKgATyJapDKbLte353+E5dMOPrSIfanm5BJ6ZmZlZe/kkipn1o1FffpICEUP+FHigWd8mFgND1Uxm\nAnc26LMUmCppv7S8ZSqwNC1b2SLphFT15Kwm40ekGwIaZt3O7zMzMzMzMxtS6UwNSbeQzZg4QNJG\nsookJ0o6hmz5yaPAB1Lfg4HrI+KUZmMj4gbgSuBbkt4PPAaclvpPBs6PiHMjYrOkucDqtCuXDSUN\nBS4gq6yyN1mCUFc+MesiXn5iZdhz4tHt3oW28Gw5s5GrYilELy2vKPLd3GuzRPzZatZeVVc/OaNB\n8w1N+u6QU6PJWCLiKeCtDdp3yKkREQPAQJN+k1rt+0j4x5Y1089f9GZmZrZr/KPZdpXzZFgva1f1\nk57kgIZZ9fw+MzMzMzOzIVUvPxkATgU2RcSk1PYZ4Dzg31O3j0dEw1KuknYH7gYGI+LU1LYAeDPw\nbOp2dkTc12DsTOCT6eq8iLgptR/L9uUnS4CLI6KUyibdklW4nfddZBZCN/x47bV6490wDfZ1hx3M\nzStWt+4IvOu4oyrem87UDX/HXtRrz3vez+tu+Xyz/pL3mMxnrztbkeNGz2bpL0W/e6a85pCK9sQ6\nQdXVTxYA1wAL69qviogv5hh/MfAQMLau/aMRcVuzQZL2J8vfMZksd8c9khZHxNNkJWXPA1aRBTWm\nUVJejTPfdFzuH1u9Ju8XSTuXVhT5weGDdDOriqtFmVknKPvYrdcCu1YevzasapUuP4mIFcDmlh0b\nkDQB+BPg+hEMPxlYFhGbUyBjGTAtVV4ZGxEr0+yMhcCMkexfI/0a0DAbTX6fmZmZmZnZkKpnajRz\nkaSzyJaWfDginq6vfgL8NfAxYEyD8ZdL+jTwQ2B2RDxXW/0EGA9sqOm/MbWNT5fr282sS/TzjCiz\nfuGzeqOvX2coFlk67NelmVlnakdQ41pgLtmykLnAl4BzaqufSBrKw3GPpBPrxs8BfgnsBcwHLiEr\n2bpD9ZMySJoFzAKYPe8KZpx+5rD9z3zTcX17UGDWL/weN+ttXvZjZmZWniZ5NvcHbgUOBx4FTksT\nHQRcTRYX+DVZ/sx7W93HqFc/iYgnI+KliPgN8A3g+Abd/hB4h6RHgUXASZL+Jo1/IjLPATc2GT8I\n1GaDmZDaBtPl+vZm+zo/IiZHxORWAQ3wjx2z0eBZGmZmZmZmXWMBWR7LWrOBH0bERNLqi9T+x8DE\n9G8W2YSIlkZ9poakcRHxRLr6p8AD9X0iYg7ZjAzSTI2PRMR7asenKM6MRuOBpcBnJe2Xrk8F5kTE\nZklbJJ1Alij0LOCr5T0662RFgk6eYtq5vPykd/h9Vh4/l7ar2lnNq4pt5q1qUmT5iZmZFRcRKyQd\nXtc8HTgxXb4JWE62AmM6sDDlv1wpad+6+EFDVZd0vYVsZw+QtJGsIsmJko4hW37yKPCB1Lc+p0Yz\nN0t6NSDgPuD8NH5bTo0UvJgLDP3yuSwihhKWXsD2kq53UVLlE8gOCDxbw/qBS6yZWVFVBF7yfuc6\n6GNmVj5/ttouOKgmUPFL4KB0uVluzPYFNSLijAbNNzTpuy2nRl37crLIzdD1k5qM3yGnRkQMAANN\n+k0afs9HxgENs+p5loaZmZmZWTFV/VY94XcP3ZaHMpkfEfPzjo+IkBS7sg/tqn5iZjYiXn5i3a5b\nZi+VvZ/3P/Z4V5zVyzsTrVv+jjb6PJvRul3Zn9V+T/S2FMDIHcRInqxJKzEO2JTam+XGHJaDGiWq\nYvlJt8z+yLufRT7UrHO9sG5N/s77HFrdjlhX8+dGf+mGgIa1R5HXRrccF5ntiiK/KfJ+R/q9Yx1m\nMTATuDL9f2dN+0WSFgFTgGdb5dOAiqufSBqQtEnSA3Xt/0PSzyQ9KOnzDcYdIulHktamPhfX3La/\npGWS1qX/96sfn/rNTH3WSZpZ036spPslrZf0lZRwtBT+sDCrnmdpmJmZWS/zbwrrJSnP5r8Avydp\no6T3kwUz3i5pHfC2dB1gCfAIsJ6sUuoFee6j6pkaC4BrgIVDDZLeQpbV9PUR8ZykAxuMexH4cETc\nK2kMcI+kZRGxlu3lX66UNDtdv6R2cKp7eykwmSwh6T2SFkfE02RlYc4jq36yhKy8TGnJQm30eZpa\nf+mW5Sc+K92an6POVvbZv25ZfmJmVhXPPLR+1CTPJsBbG/QN4MKi91F1otBG5Vs+CFwZEc+lPpsa\njHuClOE0IrZKeogs6+lampd/qXUysGyo4omkZcA0ScuBsRGxMrUvJCsLW0pQw9VPzEZH3lJ9Vp5e\nOxDLGwzttcdd5Duq7MfugIaNpryvt34u6eolgJ3rqAP39Uk7swIqXX7SxJHAGyWtkvSPko6DrKSr\npCX1nVNQ5A/IZlZAk/IvkiZLuj61NysFMz5drm8vhQMaZtXz+8zMzMx6mQMaZsW0I1HoHsD+wAnA\nccC3JP1Oo5Kukl4JfBv4y4jYUr+h2vIv9SVdyyBpW3ma2fOuYMbpZ5a5ebOOk/dszFMrv5t/oyeU\nmyi0n2dE5X3cPiNuVr1+/Rwy6xftrNjRzll1VXCQxqrWjqDGRuD2tF7mx5J+AxwA/HttJ0l7kgU0\nbo6I22tualb+pdYg25eoQFYKZnlqn1DX3nTeYW15mlUPb2hZO7eff2yZjSb/aLfR4ko/1i98/GLW\nOd513FHcunptu3fDrGu0Y/nJd4C3AEg6EtgL+FVth1SR5AbgoYj4ct34ofIvsGP5l1pLgamS9kvV\nUaYCS9OylS2STkj3cVaT8SPiAwIzMzMzM9sVDmiYFVPpTI1UvuVE4ABJG8kqkgwAA6nM6/PAzLSM\n5GDg+og4BfhD4L3A/ZLuS5v7eEQsISv38q1UCuYx4LR0X5OB8yPi3IjYLGkuMFQi4bKhpKFkZWEW\nAHuTJQgtrfJJFcmm+jkhos/Gm3WOdibW9LTV3uDqJ2bWCbphuYa15u8Tq1V19ZNm5Vve06Dvtpwa\nEfF/ADXZ5lM0Lv+yQ06NiBggC6A06jcpx+4X1i2lJs36Rb9WuLDy7Dnx6Nx9j8rZr1+DND4A7WxF\n/j6emWqN9Np3aTs/q7tl+Unev3m/fu/Z6GnH8pOe5YCGmZmZ9TIHNMyq1w0BDbNOUvXykwHgVGBT\nREyqaf8fwIXAS8D3IuJjDcY+CmxNfV6MiMmp/TPAeWxPLDq0LKV+/DTgamB3smUtV6b2I4BFwKuA\ne4D3RsTzZTxeM7Ne1Wtn4NqpX6vYePmJdTsHdKwT5U1o/brDnMzaelfV1U8WANcAC4caJL0FmA68\nPiKek3TgMOPfEhG/atB+VUR8sdkgSbsDXwPeTlZtZbWkxRGxFvhcGr9I0nXA+4FrCz6uhrz8xJrp\n58o43ZBjoYppkf36w9Xaoxs+X/xaL0+RHF5l5+bq5+8zs9HSLctPzDpFpctPImIFsLmu+YPAlRHx\nXOrTqCTrrjoeWB8Rj6RZGIuA6aniyUnAbanfTcCMsu7UAQ1rxgeA5fG6TDOz9vH3mVn1HNAwK6bq\nmRqNHAm8UdLlwH8BH4mI1XXVTwAC+L6kAL4eEfNrtnGRpLOAu4EPR8TTdePHAxtq+m8EppAtOXkm\nIl6saW9LeZF+rmpiw/OP9uEddeC+fo5K5GUlvSHvLIh2/iAtsvzEM51stPh4rP/kPYYo8nlZ9mdR\noe09+4tc3ar4/PcxhHWKdgQ19gD2B04AjiMrz/o7tdVPkj+KiMG0PGWZpJ+lmR/XAnPJgh5zgS8B\n5zQYv8skzQJmAcyedwUzTj9z2P5nvuk4n8GwhqqYrlvki8RBgM7lPAPtkff96AO28vh13hu8/MSs\nej6BY1ZMO4IaG4HbIyKAH0v6DXAA2xN/AhARg+n/TZLuIFtSsiIinhzqI+kbwHcb3McgcEjN9Qmp\n7SlgX0l7pNkaQ+0Npdkh8wFWPbwhWj0wf8lbM+1+bfTSD7Ne+5L3Dz0z6ybt/j4z6we9dqxjVrV2\nBDW+A7wF+JGkI4G9gB2SgUp6BbBbRGxNl6cCl6XbxkXEE6nrnwIPNLiP1cDEVOlkEDgdeHdEhKQf\nAe8ky7MxE7gzz077S9xsZPJ+MecNvHiGill38qwkG039etxWxZKJsr/Hu0WRz6tueOx/tu+L3P5M\nvp9+eZMRv+u4o3Zll8xKU3VJ11uAE4EDJG0ELgUGgAFJDwDPAzNTsKE2J8ZBwB1ZXk/2AL4ZEX+f\nNvt5SceQLT95FPhAuq9t4yPiRUkXAUvJSroORMSDafwlwCJJ84CfADdU+RxY5ygyZbbs9dxV3HcR\nZX/Zvuod7+GpxX9T6jb7lX/oWTO99tropcfSbu2stublJ9bM2k3PdMWP+25Q1fKTc0+akqvfh268\nvdT79XIaq1qlQY2IOKPJTe9p0HdbToyIeAR4fZNtvrdJ+w45NSJiCbCkQb9HyJayWJ9pd4K8dlq7\n6RmmjBlT2vYc0CiPf+hZM35tWDPtrLbW7u8z61wOaJSn1wIAvfZ4rPO0Y/mJWd8p8uPEB4y9Ie/U\nTf9wtX7RazNP2skVO8zMzLZzUMPMzMxGxZTXHNK6Ew7umpmZWX5V59QYAE4FNkXEpNR2K/B7qcu+\nwDMRcUzduJcDK4CXpX28LSIuTbcdQZbk81XAPcB7I+L5Bvc9B3g/8BLwoYhYmtqnAVeT5dq4PiKu\nLPVB27A8/cysep4C3Nl6bbZCkcez6uENFe6JmZmZ9aOqZ2osAK4BFg41RMS7hi5L+hLwbINxzwEn\nRcR/SNoT+D+S7oqIlcDngKsiYpGk68gCF9fWDpZ0FFnFk98HDgZ+kCqtAHwNeDtZadnVkhZHxNpW\nDyTPQVu7zyzlPbBs936WLe8PuCoed9kJRc2sezloO/ryfv77b2O2M79/zKxX7FblxiNiBbC50W3K\nSpucBtzSYFxExH+kq3umf5HGnATclm67CZjRYPPTgUUR8VxE/BxYT5Yc9HhgfUQ8kmZ3LEp9zczM\nzMzMzKzLtDOnxhuBJyNiHexYkjVd351secnvAl+LiFWSDiBbrvJi2sZGYHzq/w5gckR8OrWtrLmv\nbf2ADXXt+WobmVmlipwJ8vIKGy0+Q2nWWfp1VqpZM3tOPLr0bToZsXWbdgY1zqBmlkaDkqwvAcdI\n2he4Q9Ik4JfNNhYRi4HFZe6gpFnALIDZ865gxulnlrl5s6419rX5v0CfrHA/zMzMzMysv7UlqCFp\nD+DPgGNb9Y2IZyT9CJgGfAnYV9IeabbGBKBR3cRBoDbFem2/Zu2N7ns+MB9g1cMbotW+mln1PEvD\nzMzMzMyGtGumxtuAn0XExkY3Sno18EIKaOxNltjzcxERKcDxTrJ8GDOBOxtsYjHwTUlfJksUOhH4\nMSBgYqqgMkiWTPTd5T40G06RH6R5p317enh5Xli3pt270NLaTc+0NbDhpK9mI1PkfeulA73BybTN\ndtQtx6xlvyeLfKb788BGouqSrrcAJwIHSNoIXBoRN5AFE26p61ubU2MccFPKq7Eb8K2I+G7qegmw\nSNI84CfADWn8tpwaEfGgpG8Ba4EXgQvTchYkXQQsJSvpOhARD1b3DPQPfwCZWVW65YdRr1USKHs/\niwQk2/23NOsHuU9k7HNotTtiZraLKg1qRMQZTdrPbtC2LadGRKwB/qDJ2EfIqpjUt++QUyMiLgcu\nb9BvCbAk1wMws47j5Sdm3WvMmDH5OnZJ4MfMzMzar52JQq0PdcsZyrKzq3vadXnavfwkr9cddrD/\nlmY1jjpwX7Zu3dru3TCzPlfF7D/PejFrLwc1SrTmsaY5R3dSRamkvB/SRfbTzHaUN6By6+q1Fe/J\n6MobkHQAr7VuWU7Tr7ol+G7D67XSr92yn2Zm7bBblRuXNCBpk6QHatqOkbRS0n2S7pa001KS1G+m\npHXp38ya9uWS/jWNv0/SgU3Gz5G0PvU9uaZ9WmpbL2l2mY/XzKrXDbM0zMzMzMxsdFQ9U2MBcA2w\nsKbt88BfRcRdkk5J10+sHSRpf+BSYDIQwD2SFkfE06nLmRFxd7M7lXQUWTLS3yerfvIDSUemm79G\nVk1lI7A6bbflKdWyf0j12hkEs9FSxfKTIu+zXguq9OtZ6SpmQfTrc9lOfs6t2/k4r3MV+b5/4dlf\nVLgn5SgygzTvd6Q/g61TVJ0odIWkw+ubgbHp8j5Ao0/zk4FlEbEZQNIyYBp1FVOGMR1YFBHPAT+X\ntJ7tyUXXp2SjSFqU+vbWPHHrOP7QN7OiXALPminy9/aPZrPOUcXyQx9jmlW8/KSJvwS+IGkD8EVg\nDoCkyZKuT33GAxtqxmxMbUNuTEtPPiVJafw7JF3WYnyr7e5A0qy0RObuG2+8sejjNLMK9NpMCTMz\nMzMzG7l2JAr9IPA/I+Lbkk4DbgDelpaTnJtj/JkRMShpDPBt4L3AwvqSrmWIiPnAfICtW7dGmds2\ns5Hpluon7eSzNmZmvcXLlq2beTahVa0dQY2ZwMXp8t8C1zfoM8iOeTYmAMsBImIw/b9V0jfJlpUs\nbDD+kLrxQyU/mrVbj/MHau9w6bTO1c8BlbzBtn790eGAZG/w0hczM+s07QhqPA68mSxIcRKwrkGf\npcBnJe2Xrk8F5kjaA9g3In4laU/gVOAHDcYvBr4p6ctkiUInAj8GBEyUdARZMON04N1lPTAzq97E\nLkjGZWaNjRkzJl/HPg6OmZmZWTGVBjUk3UI24+IASRvJKpqcB1ydAhT/BcxKfScD50fEuRGxWdJc\nYHXa1GWp7RXA0hTQ2J0soPGNNP4dwOSI+HREPCjpW2QJQF8ELoyIl1K/i8iCJrsDAxHxYJXPgVUv\n75m/fj6D3EvW7XOoAxtmXeioA/dl69at7d6Nljzjpr945onZyFWR+NRsJKqufnJGk5uObdB3h5wa\nETEADNT1+b+NxqbbdsipERGXA5c36LcEWJJj983aop0f/FseyresY+xrj654T2y05D0geddxR+Xq\n18/Bw3597HlfQ156Up4iz2W//hD3j63W9pyY87u8jZ9tRT5Xe+m13u7qV+18Lv3etZFoR/UTM7MR\n8ywNMzMzMzMbUnlODUkDZLkvNkXEpNR2DHAd8HKy5SEXRMSPm4wfS7aM5DsRcVFqOxZYAOxNNuvi\n4oiIunECrgZOAX4NnB0R96bbZgKfTF3nRcRNZTzWow9rWh2251UR0XUEdnhFn/Mprzmkdacu4OUn\nZma9pd1npc1Gy5rH8tUn6OffFGYjMRqJQhcA17BjhZLPA38VEXdJOiVdP7HJ+LnAirq2a8lyc6wi\nC2pMA+6q6/PHZAlCJwJT0pgpkvYny+0xGQjgHkmLI+LpkTy4btQtH5TOldG5ck9ZhdzTVosc1E70\nLHYz62O5K0ABZR/q9dIUf7PhFDm+PCrvcdFPl41wbzpT3iCNg5FWtcqXn0TECmBzfTMwNl3eh6wi\nyk7SjIyDgO/XtI0DxkbEyjQ7YyEwo8Hw6cDCyKwE9k1jTwaWRcTmFMhYRhYUMbMu8Gf7vtjuXTAz\nMzMzsw7RjpKuAH9JVsXki2SBlf8XdqyAImk34EvAe4C31YwdD2ysub4xtSHpfICIuC61bWjQr1n7\nqHJ2dWvGf/Ph3f7MHg5sWEOewm6dyq83MzOz6rQrqPFB4H9GxLclnQbcALytrgLKBcCSiNiYpcdo\nLQUzSiNpFqnk7Ox5VzDj9DOH7f+6ww72D1IzM7MGbl29NncVnW6Qd9o15A9q5D3h8YLzCpmZWUFF\nvre6TbuCGjOBi9PlvwWub9DnvwFvlHQB8EpgL0n/QZb8c0JNvwlAo7/QIHBIg36D7Ji/YwKwvNFO\nRsR8YD7Aqoc3RKM+tRzQMKueZ2mYda8xY8bk6+hcSWZmZpZTu4IajwNvJgsmnASsq+8QEdumRUg6\nG5gcEbPT9S2STiBLFHoW8NUG97EYuEjSIrJEoc9GxBOSlgKflbRf6jcVmFPS42qrvNG3M990XMV7\nUo7cidD2ObTaHSlBPwe8yn7s7V5+0muJafN+bvTSGfZe1A2fMe867ii2bt1a6jbzPu4iyz+KJeEs\nV97Pl4kV74ftmm54PxaRdwZRP+u1YwOzbjMaJV1vIZsZcYCkjWSVR84Drpa0B/BfpCUetTk1Wmz2\nAraXdL0r/avPqbGErJzrerKSru9Lt22WNBdYnbZ1WUTUJzLdSa99QVk58h4o+/VjnapbqiG1S5GD\neR/UDq/Xlp9Ya71WvrLXvvPzBvAKVTzLyZ+XZlamyoMaEXFGk5uObdC3NqdGbfsCsiBGbb9JDfpd\nV3M5gAub7NMAMDD8nptZJ/LyE7Pu5eUnZmZmVrZ2LT8x62hVTGm2crR7+YlZJ+qGM8hVLD/pV1se\nKrBEZtwbqtsRs4p1y6yXdvJzZOaghpWk16aYtlOvPZfd8GPLzMz6U7tLQfvkSH/Je+xW5HWR9zVc\npPJFNxzdORNWAAAgAElEQVRjFj1unPKaQ1p3sq61W5UblzQgaZOkB2raXi/pXyTdL+nvJI3NOza1\nf0bSoKT70r9TmoyfJulfJa2XNLum/QhJq1L7rZL2Kuvxmln1PEvDzMzMzMyGVD1TYwFwDbCwpu16\n4CMR8Y+SzgE+Cnwq59ghV0XEF5vdqaTdga8Bbwc2AqslLY6ItcDn0vhFkq4D3g9c2+qB5IludkNU\n06zb9fPyE5/RK49nBrXm52j05U1M+1TF+2FmZtZNKg1qRMQKSYfXNR8JrEiXlwFLaRDUaDI2r+OB\n9RHxCEAq6zpd0kNkJWTfnfrdBHyGHEGNPNY8Nlh6YKPIj5gi08q6Qe41wyd0fknXbjH2teVnODez\nHXlJVv/p15KYPtkz+goFv5/9Ra5u7ayS0q+KfGbk/a7w+9F6WaXLT5p4EJieLv8FcAiApIMlLcm5\njYskrUlLVPZrMH48sKGm/8bU9irgmYh4sa69IUmzJN0t6e4Hln+/5U75w8Ksev06S8PMzMzMzHbW\njkSh5wBfkfQpYDHwPEBEPA40zI9R51pgLhDp/y8B5xQYn1tEzAfmA3zoxtujzG1XoZ1BFQd0yuPn\ncnj9vPykCl7SYruq115Duc82/3RZtTtiDXkGU+da61LMZtYmox7UiIifAVMBJB0J/EnB8U8OXZb0\nDeC7DboNkmaAJBNS21PAvpL2SLM1htpb8g9Ns86R+0dHBQdYPqAeXj8/P+0sBd0Nz/vaTc+0bRlG\nkednYs4p+T4u6Gy9Vkks73unisBCFcuBu+Ezq53yLvnJuJil2ai/CyQdGBGbJO0GfBK4ruD4cRHx\nRLr6p8ADDbqtBiZKOoIsaHE68O6ICEk/At4JLAJmAneO8KGYWRu867ij2r0LZjZCY8aMydfRZ3zN\nzMwsp0qDGpJuAU4EDpC0EbgUeKWkC1OX24EbU9+Dgesj4pRmYyPiBuDzko4hW37yKPCB+vER8aKk\ni8iSkO4ODETEg+k+LwEWSZoH/AS4ocKnwMxKduvqtT0V2Chytirv4/YU4M6W94xrr53JPOrAfdm6\ndWu7d6MnFEnq/Lp9nJh2OL22fKrXFEmC3y2zbrpBO4sP9NosKxsdVVc/OaPJTVc36LtDToxmYyPi\nvU3a68cvAXZKPJoqohw/7I53qV77Ys570PZk6y5mZtZm7Vx+0mtyLweAtlYIc6Uf62ZFXpd5X+u5\nj9VzLoMrsk2/z6yXeRGWmXWVXpqlYdZvvPzEzMzMylb18pMB4FRgU0RMSm2vJ8uj8Uqy5SNnRsSW\nBmMfBbYCLwEvRsTk1L4/cCtweBp/WkQ83WD8TLKcHQDzIuKm1H4ssADYm2wmx8UR0bKySZ6pUFVM\ng6oiSmzWifJON1zz2CCXv/PtFe+NdRKfhWqtG56jXlt+4u/czlbFMVm/Lh2z3tDOJSVV6LXHY7um\n6pkaC4BrgIU1bdcDH4mIf5R0DvBR4FNNxr8lIn5V1zYb+GFEXClpdrp+SW2HFPi4FJhMlnvjHkmL\nU/DjWuA8YBVZUGMacNfIH+J2ax4b9PquEpVd4cIHGa3lfs67hA9AbVcVWS7h15Htqrz5cA6qeD/M\nulE3BHfNrBq7VbnxiFgBbK5rPhJYkS4vA/684GanAzelyzcBMxr0ORlYFhGbUyBjGTBN0jhgbESs\nTLMzFjYZPyIOaJhVz7M0zMzMzMxsSDtyajxIFpj4DvAXwCGwc/UTshkW35cUwNcjYn5qP6impOsv\nSScsJE0Gzo+Ic4HxwIaa+9yY2sany/XtZtYlPnHbMgc2Wigyu6CdlVK6Yfq+K8lYJypS/cTJtMvj\nzwOz6uU9SezlJ92lUWqJvGkl8mhHUOMc4CuSPgUsBp6HnauXAH8UEYOSDgSWSfpZmvmxTURECnoQ\nEXcD55a5o5JmAbMA3nLWB5h04tRh+3v5SbnKPngo8gOq7KmJ7bzvblHFe+eFdXkrBOT/KGzn9Na8\n7wlXmLAylB10qqL6SbdMN8/9WbRP+yqVVKGdz3sVr40qArF5779fP9f79bi60HLgNgbb+vXvYyNW\nn1qiZVqJvEY9qBERPwOmAkg6EviTJv0G0/+bJN1BVoZ1BfCkpHER8URaTrKpwfBB4MSa6xOA5al9\nQl170zBfmh0yH+BDN97eMpmo39hm1XP1E7Pu5eonZmZmlkxn+2/2m8h+r3dHUEPSgSlQsRtZdZLr\nGvR5BbBbRGxNl6cCl6WbFwMzgSvT/3c2uJulwGcl7ZeuTwXmRMRmSVsknUCWKPQs4KslPrzSdcP0\nbKjmjEjevt3yHPWrss/U3bp6be6/+cSc26ziNdQtZ5BteN2SKLRbkuKuenhD605tlvcMaZHw6gvP\n/mJkO1OCbnhteDZjb/Dfpj167XnP+3ng5Sedo3Z1QzK/JnXEkEapJRqmlRiJqku63kIWfTlA0kay\niiSvlHRh6nI7cGPqW5tT4yDgDklD+/jNiPj7NOZK4FuS3g88BpyWxm/LqZGCF3OB1WnMZRExlLD0\nAraXdL2LkiqfgJefmJmZmVn5nM+jv/jvbd2kdnXDMHZKLVG3jW1pJUai0qBGRJzR5KarG/TdllMj\nIh4BXt9km08Bb23QvkNOjYgYAAaa9JuUY/cLc0DDrHqemWNmZmZm1j2apJbIk1Yil3YkCrWK5J1i\n2mvRXy9TGX3tfA3d/9jj/luWyEnqhtdrn5dFtPOz1Z/rw9vyUN4kyPBkjyUftdGXu9pOBR+X3fIe\n77VjcJ+otTINk1oiT1qJXBzUKJGXn5hZUa877ODcP+DaGYDolgMxM7Nu0i0/2tulyPfZravXVrgn\n1kgVr9+8f/Miv7mcf6PtGqaWkLSaBmklRqLqnBqHAAvJHkiQJQ25Ok9NWknHANcCY8nq2V4eEbem\n2xYAbwaeTd3Pjoj7Gtz/TLJkpADzIuKm1H4s2/NqLAEujogRr+EZ4oCGWfV68QDw3JOm5Op3/T+s\nqnhPzKo15TWH5OrXa4nvzMysffwbrb2apZZollZiJKqeqfEi8OGIuFfSGOCe/7+9Mw+3o6ry9ruA\nMJmESYSQhEGMCoIKhMGmu0UciLYCHw7gwCQYaGVyYhAFm0FBu1GkFc2HDGmiQANqWhMxIqi0HQgJ\ngQBBwiCEGMHPEBNbRQLr+6P2hbqVc+6tuvfsW9PvfZ79nKpdq9aqtatqn6pVezCzOcBRDD4n7Z+B\nI9x9SRhEdL6Z3eTufZ8LP+3u13czHAInZwOTSQIq881sZgieXAp8hGQGlFnAFHo4YKjoDXlfXmf8\nYt7gQgX0iWpTl+4nRV7K8r7o5aWtrSo0g8LglF1GdZj9JC/PLsnfBUSIKpJ3ph9d60KIqhN7oNDl\nwPKwvNrMFgPjyTEnrbs/mFr+rZk9BWxJ/h57BwBz+mY9CcGUKWZ2KzDW3eeG/OnAwfQgqKHuJ9Wm\nLlMzlklbX4aF6EZb6wIhxNqoPhDdyB34KTDGTZnTMdfh45EQaUZsTA0z2x7YjaR1RMc5adPTsmb2\n3QtYH3g4lX2+mZ0F3Ayc7u7PZPYfD6Q/CT0R8saH5Wz+sFFAQ4j46I9WiPqi7idCCDE4bR2cW4ih\nMiJBDTMbDdwAnOLuq8IgIUD/OWmz07KGfccB/wEc6e7Ph+wzSIIh65PMiXsacE6n/Yd53FOBqQBv\nOuI4dtnvbb1SnZsiD3aqAEUbWPTYbzl0z51zyT77x8cjH039yTt4Vt5gUpHBuHodoFJrrOrTpO4n\nQgghhKgG0YMaZjaKJKAxw91vDNm55qQ1s7HAj4Az+7qLwAvdWgCeMbMrgE912H0ZL3ZxAZhA0s1l\nWVhO53d8Cnf3aSRBE0664sZBBxJtc/eTMpvItbXMhWgLCtiWg1pFDUze8QhAYxIMRplBxrLHmWkr\neQPgeT9iNI37n1qp/z4hChB79hMDvg0sdveLUpsGnZPWzNYHvgdMzw4ImgqIGMl4GPd2MH8T8AUz\n2yysvw04w91XmNkqM9uHpCvMEcAlw/GzD71cCxGftj7gCNEE1P1ECCEGRwENIYoRu6XGvsDhwCIz\n65ty9TMkwYy15qTNjInxPuAfgS3M7Kiwb9/UrTPMbEvAgIXA8dn9Q/DiXKBvaoxz+gYNBT7Ki1O6\nzibHIKEKWIw8eqgVnbh23v0KbFSYMuvKYl/DR2xIqbVo84C86n4yMHlfZP4Q+TiEGApFuh+KdqEg\njYhN7NlPbiMJPHRirTlp02NiuPvVwNVd9O7fJb/fmBrufjlweRe5XQY5fNEwirzw7Lpd/tGp24jG\nLhBVZNSk16qZf4WpS12Q9xoq0v1ENIO8L+0f/Mc9c+vMe1+oO1i7iNH9pC4faNsc+BdDZ52yD0AI\nIYqgVhqiGwpoCCGEaAJq2SBEMWKPqTERmE4yZasD09z9YjN7L/B5YCdgr9ByotP+U4CLgXWBy9z9\ngpC/A3ANsAUwHzjc3f/WYf8zgGOA54CT3P2mgfSK+MQYkCu3Ts2E0Qjq0v1EzXBFFSnyoNzrr2Ua\nkHFw8pb5pJ3ytxJ5cqgHIyqFWnSIKqLgi6gKsTsVrwE+6e4LzGwMMN/M5pAM7HkI8K1uO5rZusDX\ngbcCTwDzzGymu98PXAh8xd2vMbNvkgQuLs3svzNwGPAaYBvgp2b2yrC5m14hClHmC0IM8j40lf0n\nlvvBP/JxiGqh7idCDB0FnUQVqcOzUwzuf2olk3J/jCtvjCghqkLsMTWWA8vD8mozWwyMd/c5AMnk\nJV3ZC3jI3R8JstcABwUd+wMfCHJXkbT6uDSz/0HANe7+DPComT0UdNJJL6CghohGW/+UY6CvUKIb\nCmj0lp1ftiljxowZVE6Df7YLBTSEiE/+gIYQAkYwtGdm2wO7kUyj2k1mG5LuIO8AxgPpJ6UngL1J\nupysdPc1qfzxYf8DgcnuflbIm5vZv2+EnE56ByTPi5T+6EUvyPvS3tbrbdFjv1VgQ4gR4P6nVoIC\nskJUgrxdGvX/2AwKDUQ8L993WV0bosmMSFDDzEYDNwCnuPuqbnLu/lvgHUO14+4zgZlD3T+LmU0F\npgKcft4XOfiwDw4ov+t227T2RVMMzM4v21StNUStqUPd1ubuJ3nrl7K7joneUOiFJ8LYKHWoDzQG\nhRhJct+TOe/HGLOfCNFkogc1zGwUSUBjhrvfWGDXZcDE1PqEkPcHYFMzWy+01ujLz7s/A+T3w92n\nAdMAbn94qQ92wHX4kxfloIBG79ADqOhGWwMasYjR/WTvHScOLoT+T6uMzo0Q8VFAQ4hixJ79xIBv\nA4vd/aKCu88DJoWZTpaRDPr5AXd3M7sFeA/JDChHAj/osP9M4DtmdhHJQKGTgDsA66S3sHM1psgD\nSd4HUDEwRcq8aS/tve5Oo+4nQlSLIg/fq1evjngkYiSIUf8qUCJEPcn7MaFQ6zIhhkDslhr7AocD\ni8xsYcj7DLABcAmwJfAjM1vo7gekx9Rw9zVmdgJwE8nUq5e7+31Bx2nANWZ2HnAXSeCk35ga7n6f\nmV1HMgDoGuBj7v5ckOumd1jUpUlmmRR5+G1SWR66585cm7PPoxCiP2W2wNCMEM1A/89CrE2vZxL7\n/Ou24vN393YS4abdt0U+4NRh+vq8PLvkntyBjaadczEyxJ795DaSlhGd+F4H+X5jarj7LGBWB7lH\neHEmk3R+vzE13P184PwOch31DhfdhKIbCmj0DrXSEKK+5OnOEgP9PwsRn14HNNpMkwIaoJYaIj6a\n2FgIUSuKfL14VlOiDcprtxs/uJAQPULdT4SIS4zurqsW52st99rtds9tO+9sLkIIkQcFNXpIjOat\nRbotaDDKgVmyybalzfsdo/tJmc2pr513f6O+Ikz64+Ms2WTbsg+jZxQJ/OgL9sCUOYaLukz0jhhl\nWaQ5dV7aOrZQmdd6EbsxgsB5z2PeIMA9jy0rLVj9luUL+Om4/IGNPJTpT5nEeM4qs96IUV+K4tzT\n4GeKdWIqN7OJZnaLmd1vZveZ2ckh/71h/Xkzm9xl3w3N7A4zuzvI/ktq25Vm9qiZLQzp9V10HGlm\nS0I6MpW/h5ktMrOHzOxrYUDTYRPjD1ndFnpHWQENiHMey3zZKTOgEcN2kwIa0Lxmq2VS5otjEwMa\nY8aMyZV6TYyyLPMBvUkBDWjmtV4WZQYAeh3QgPa2JozxP15mvaGAhohN7JYaa4BPuvsCMxsDzDez\nOcC9wCHAtwbY9xlgf3f/U5gW9jYzm+3uc8P2T7v79d12NrPNgbOByYAH2zPd/WngUuAjwO0kY2tM\nAWYPy1PRStQ6ZuRpWisR0TsKPTTVIGDctBfX+59aCTWoM/XwLbqRt7VEmfdu0+oN0TvK7Jq0hepV\nEZmoLTXcfbm7LwjLq4HFwHh3X+zuvx5kX3f3P4XVUSF5AfMHAHPcfUUIZMwBppjZOGCsu891dwem\nAwcX80wIURYKaAghhBBCCCH6GLExNcxse2A3ktYR3WRemNI1rK8LzAdeAXzd3dP7nm9mZwE3A6e7\n+zOhK8vx7n4sMB5YmpJ/IuSND8vZ/AHJE91UdFyI+KilhhBDp2jrsr172BVk55dtqtZtoiOaOlmI\nejJ2p/JaYGiwWZFmRIIaZjYauAE4xd1XdZPrMKXrc8DrzWxT4Htmtou73wucAfwOWB+YBpwGnOPu\ndwLH9vC4pwJTAQ7/+On84zvVoGO46IG2GcQ4jzGCgrmbkbf4usxb7nqREMNF9b8Qoo8yB12d8Yt5\nueTKPMayyfufP2nTyAciRE6idj8BCONh3ADMcPcbh6LD3VcCt5CMfdHXrcXd/RngCmCvDrstAyam\n1ieEvGVhOZvfye40d5/s7pMV0BCiGuz8Mv2DCiGEEEIIIRKittQIs4p8G1js7hcV3HdL4Fl3X2lm\nGwFvBS4M28a5+/Kg/2CSgUez3AR8wcw2C+tvA85w9xVmtsrM9iHpCnMEcMlQ/BP1otDgb/qiWFnu\nf2qlAhtCiFYTY8A/IapIW69ftWwTohixu5/sCxwOLDKzhSHvM8AGJIGELYEfmdlCdz8gM6bGOOCq\nMK7GOsB17v7DoGNGCHoYsBA4HiA9pkYIXpwL9LUxO8fdV4TljwJXAhuRzHqimU9EP/I+MLb1z1YI\nIYQYjDp0W4vxP14k8F7my2ve87NV5OMQzUdBGhGbqEENd7+NJPDQie91kH9hTA13v4dkYNFOevfv\nkt9vTA13vxy4vIvcLoMcvhCigqiVhhBCCCGEEKKPEZv9pO7oi3z9UZR4cOpwndel+0ldBhjLW5Z1\n+OIqBqfoedx7x4mDCwkhhBA9Iu+sJjGes0R9UVBDiJqy63bb6EVTDJs6NH3W6OrNoMz6qsjUf4ds\nuiaXXKFxmkTP0IxNQgydY/ffO5fcZT+7PfKRCNFbYg8UOhGYTtIdz4Fp7n6xmX0ZeBfwN+Bh4Ogw\nw0l2/8uBdwJPufsuqfzNgWuB7YHfAO9z96c77H8k8Nmwep67XxXy9+DFMTVmASe7u/fAZSFGlLx/\nTk2iDq00hBBCCCGEECND7JYaa4BPuvsCMxsDzDezOcAckplI1pjZhcAZwGkd9r8S+HeSwEia04Gb\n3f0CMzs9rPfbPwQ+zgYmkwRU5pvZzBD8uBT4CMnsJ7NIporVYKEVo9dN7fXVphnUpftJkS/DYmCa\n9kU8xkDEdehGdOieO3PtvPtLsy9GnrzX8IxfzBtcqKBOIbpRZreFvHV1XbpMr1p8Tz7BfbaNeyCi\n9cQeKHQ5sDwsrzazxcB4d/9JSmwu8J4u+//CzLbvsOkgYL+wfBVwK2sHRQ4A5vTNeBKCKVPM7FZg\nrLvPDfnTSaaFVVCjptThYb4uNO3PVohu6MVo5CkzoFHsJSZf9xMhhGgquf8jly/oue289bX+x0Wa\ndUbKUAhO7EbSOiLNhwkBBTPbxsxm5VC3VQiYAPyOMNuUmU02s8tC/nhgaWqfJ0Le+LCcze90zFPN\n7E4zu/P718zIcVhCiNjUoZWGEEIIIYQQYmQYkYFCzWw0cANwiruvSuWfSfJJZAb0n9I1L+7uZuZh\nud+UrsPF3acB0wBuf3ipxtzoAUVaSygC2zt+M+PSXHJbHPihyEcyfOrS/USjcveOMlsGFbnW2toa\nLO/50eDGYiSpyzNEr+8J1VlCiDYSPahhZqNIAhoz3P3GVP5RJIOAvnkIg3Q+aWbj3H25mY0Dnuog\ns4wXu6gATCDpprIsLKfz1fldCODZJTn7Rm6ivpFVRt2DyqEOszIUedHr9XHqBap3FBmzpy4v92Jg\nXrvdeI3VJDpS5j0+dqd8Y149Gfk4hIg9+4kB3wYWu/tFqfwpwKnAG939z0NQPRM4Ergg/P6gg8xN\nwBfMbLOw/jaSwUlXmNkqM9uHpCvMEcAlQzgGIUQJ1KGVhhBNQC/DQlSLrx19yKAyq1evHoEjEUKI\nahG7pca+wOHAIjNbGPI+A3wN2ACYk8Q9mOvux5vZNsBl7v4OADP7Lklri5ea2RPA2e7+bZJgxnVm\ndgzwGPC+ID8ZON7djw3Bi3OBviG1z+kbNBT4KC9O6Tqblg0SqgfVwVEZVZe6dD+JQZkDuZbZCiGG\nTt3jvUMtMIRoNqseuDuf4Ljd4x6IEEJ0IfbsJ7cB1mFTx8FAs2NquPv7u8j9AXhzh/x+Y2q4++XA\n5V3kdhnk8IUYFM280gzaPNaLZrwRQpRNXcYgytv9o8z/idzdSIERGlqvFeT9j2zrRxkhYjNis58I\nIUQv0AOBEEIIIYQQoo/YY2pMBKaTTLnqwDR3v9jMvgy8C/gb8DBwtLt3DHGa2brAncAyd39nyLsS\neCPwxyB2lLsv7LDvkcBnw+p57n5VyN+DF7ufzAJOHmyw0jwvUm3+kpn/y4C+Cojh0ebuJzHIW2+p\ntZFoC6Mm5Rv4TggxdOrQ6rEOx1g2uevLFr8jiZEh9hvmGuCT7r7AzMYA881sDjCHZNDONWZ2IXAG\ncFoXHScDi4GxmfxPu/v13Qyb2ebA2cBkkoDKfDOb6e5PA5cCHyEZKHQWMIWWjaux944Tyz6EnqGA\nihD9KRKAOHTPnXuusyzaPCNEmUH1vOUeo4tBHa5LMTgx7se810bT6gIhhGgjUbufuPtyd18QlleT\nBCfGu/tP3H1NEJtL/ylWX8DMJgD/BFw2BPMHAHPcfUUIZMwBpoQpYMe6+9zQOmM6cPAQ9AshSkCt\nNIQQQgghhBB9jNinazPbHtiNpHVEmg8D1waZfrOfAF8lmfp1TAeV55vZWcDNwOnu/kx69hNgPLA0\nJf9EyBsflrP5lURfEIToT5Ev0k0LgLS5i5sQw0H/peWg1hJC9Cd36+JNto17IEI0jBEJapjZaOAG\n4BR3X5XKP5Oki8oM6D/7iZm9E3jK3eeb2X4ZlWcAvwPWB6aRdF05Jzv7SQ+OeyowFeDiiy/m6KOP\n7pVqkYO8D0OTIry3Nu1lWLSLIt0w8nY/EaKK1OVlOHe/83n3xz0Q0XhWLS4w+4mmYBVCNIToQQ0z\nG0US0Jjh7jem8o8C3gm8ucsgnfsCB5rZO4ANgbFmdrW7f8jdlweZZ8zsCuBTHfZfBuyXWp8A3Bry\nJ2TyO74BuPs0kqAJq1evHnAgUSGEEEIIIYQQQowssWc/MeDbwGJ3vyiVP4WkW8kb3f3PnfZ19zNI\nWmQQWmp8yt0/FNbHufvyoP9g4N4OKm4CvmBmm4X1t5EMTrrCzFaZ2T4kXWGOAC4ZvrfFBixTSwAh\nRBMp8uVcgzwOTJH/iTp0TbrnsWVRBgvtNXnLUv/j7SPv9Vvk2mhrPRjj/qlDPdg0VOaiKsRuqbEv\ncDiwyMz6plz9DPA1YANgThKXYK67H99hTI1uzDCzLQEDFgLHA6TH1AjBi3OBeWGfc9x9RVj+KC9O\n6TqbHs18cuieO3Otmo6KCjJ2p3xNnzU1l6gzdXhhhvzdg5rWNajM2U/q0k2lrRR5sde5FCNFXQLL\nCrAKETmo4e63kQQesszqIv/CmBqZ/FtJuo70re/fZf9+Y2q4++XA5V3kdhnw4IeAAhpCCCGEEEII\nIcTIMWKznwjRRNTsrtro/AgxdBY99tueNo2vS/eTvD7r66gQoihqEStEHBTU6CHqfiKEEKJXNDEo\nl7frTR2CH0Vo4rkUQogY5P2fUFc0kWadmMrNbKKZ3WJm95vZfWZ2csg/18zuMbOFZvaTMJZGdt/X\nm9n/hP3uMbNDU9t2MLPbzewhM7vWzNbvYv+MIPNrMzsglT8l5D1kZqf3yl8FNIQQQgghhBBCiJEj\ndkuNNcAn3X2BmY0B5pvZHODL7v45ADM7CTiLMNhnij8DR7j7khD0mG9mN7n7SuBC4Cvufo2ZfRM4\nBrg0vbOZ7QwcBrwG2Ab4qZm9Mmz+OvBW4AlgnpnNdHdFJGpK7qZ8Cjo1hjoMDqgvCCOPylwIIcpD\ndbAYSdQFUKSJPVDocmB5WF5tZouB8ZkAwksA77Dvg6nl35rZU8CWZvZHYH/gA2HzVcDnyQQ1gIOA\na9z9GeBRM3sI2Ctse8jdHwEws2uC7LDfeNX9RAgRk7ZO/ZcXzaAgRhJ1Kak2bb3HVz1wd37hcbvn\nEhv76tflkvtLfstCdCVv98OidfDeY8YM5XBETYja/SSNmW0P7AbcHtbPN7OlwAdJWmpgZpPN7LIO\n++4FrA88DGwBrHT3NWHzE8D4IHegmZ0T8scDS1Nq+uS65Xc65qlmdqeZ3XnFFVcM6qMCGkLERy/2\nQgghhBBCiD5GZKBQMxsN3ACc4u6rANz9TOBMMzsDOAE4Ozsla9h3HPAfwJHu/rxZpxliE9x9JjCz\nV8ft7tOAaQCrV69eqzWJEHUhbxedZ5fck0/hJtsO42iGx67bbaPAhhAVosignr0eAE51gRCiKG1t\nxSNEk4ke1DCzUSQBjRnufmMHkRnALODsDvuOBX4EnOnuc0P2H4BNzWy90FpjAtDpKWkZMDG1npbr\nlj8s1P2k2uhPrNoU6RupFxlRRXRdDkzegEabyfs/1eayrMOYSnUhdxktXxD3QIQQYpjEnv3EgG8D\ni8xbj1QAACAASURBVN39olT+pJTYQcADHfZdH/geMN3dr+/Ld3cHbgHeE7KOBH7QwfxM4DAz28DM\ndgAmAXcA84BJYQaV9UkGE+1J6w4FNISIj+4zIYQQQgghRB+xW2rsCxwOLDKzhSHvM8AxZvYq4Hng\nMcLMJ2Y2GTje3Y8F3gf8I7CFmR0V9j3K3RcCpwHXmNl5wF0kgRPM7EBgsruf5e73mdl1JAOArgE+\n5u7PBbkTgJuAdYHL3f2+mIUgRBGKfO3de8eJgwsVIPdMMiUOkKcWUUKMDL3uAvLa7ca3uoWBECIu\neVt85h1gMneXXCi1W26RATM1WKZoKrFnP7kN6DQIxqwu8i+MqeHuVwNXd5F7hBdnMknn9xtTw93P\nB87vIDer2zEMB71stQ81NxdCFKXIGBRNokhAQ3WrEEIIIfIyYrOftAEFNISIj+4zIYQQQgghRB9R\nW2qY2URgOrAV4MA0d7/YzM4lGUvjeeApkm4la32WMbPngEVh9XF3PzDkXwm8Efhj2NbXLSW7/5HA\nZ8Pqee5+VcjfA7gS2IikxcbJYawOIVpNHWY/UYsoMZIUadbbVvJ2U9l1u22Y8Yt5kY9m+PR6hhZR\nDr3uitBmxu6Ur2vqk5GPYzB0LoVoL7HH1FgDfNLdF5jZGGC+mc0BvuzunwMws5OAswjjamT4i7u/\nvovuT6cHEM1iZpuTzKgymSSgMt/MZrr708ClwEeA20mCGlOA2UPyMMWhe+7MmdfPyS0rhBBCtIU6\nBDSEEKJulDkWmxB5MbMpwMUkY1pe5u4X9FJ/1O4n7r7c3ReE5dXAYmC8u69Kib2EJOjQaw4A5rj7\nihDImANMMbNxwFh3nxtaZ0wHDu6FwbwBDSHE0FErDSGEEEIIIeqBma0LfB14O7Az8H4z6+kX/tgt\nNV7AzLYHdiNpHYGZnQ8cQdKF5E0hLz37CcCGZnYnSYuPC9z9+ymV55vZWcDNwOnu/kxm//HA0pT8\nEyFvfFjO5g9IoRGQe0iR6Kuawoo2UKT7iQYbFEJUgbx1UdP+x/N25Wnr4LlCiLVpWj0ogGSCj4fC\nZB+Y2TUkQ1H07EvliAwUamajgRuAU/paabj7me4+EZgBnBDy7kwFNAC2c/fJwAeAr5rZjiH/DODV\nwJ7A5iRTvHbaf7jHPdXM7jSzO6+68Qe9UiuEEEIIIYQQQrSBbo0Neoe7R03AKOAm4BNdtm8L3JtD\nz5XAezrk7wf8sEP++4Fvpda/FfLGAQ90kyvo29ReysXQ2Vbb8ke22+KPyrLaOttqu2n+qCyrrbOt\ntpvmj8qy2jrbalspX1kCd6bS1Mz295CMo9G3fjjw7z09hsgOGsmYFV/N5E9KLZ8IXN9h382ADcLy\nS4ElwM5hfVxK/1dJuqZk998ceDTo2Swsbx623QHsE/afDbxjiP7d2Uu5GDrbalv+yHZb/FFZVltn\nW203zR+VZbV1ttV20/xRWVZbZ1ttKw0/AW8AbkqtnwGc0UsbscfU2JckErPIzPqmXP0McIyZvYpk\nStfHCDOfZMbE2An4lpk9T9JN5gJ37+t3M8PMtiQJSizstL+7rwhTx/YNt36Ou68Iyx/lxSldZ9OD\nmU+EEEIIIYQQQgjRj3nAJDPbAVgGHEYyvETPiBrUcPfbSAIPWWZ1kb8TODYs/wrYtYvc/oPtH9Yv\nBy7vIrfLIIcvhBBCCCGEEEKIIeLua8zsBJIhKdYFLnf3+3ppY8RmP2ko03osF0NnW23H0Cl/mmE7\nhs622o6hU/40w3YMnW21HUOn/GmG7Rg622o7hk750wzboge4+yy6NGzoBRb6tQghhBBCCCGEEELU\nihGZ0lUIIYQQQgghhBCi1yioIYQQQgghhBBCiFqioIYQQgghhBBCCCFqiYIaw8DMNs8h8woze7eZ\n7ZzJ37SgrfVSy6PNbHI3+2a2pZntZmavNbPRg+jdPI8fsTGz3Xuoa6yZ7WFmm/VKZ9D70hwym5nZ\n2EFktjKz3UPaquAxDHg+C+oa8vUbtuW+hotcv0Em1zVcp7IMcgf2UmdZ56cqmNnLeqxvi17q6zVV\nqa/z0Ms6PegrpV7PU6enZHV+Knx+mkiv68CgU/Vgj2jbfVancwO9Pz+iZNxdKUcCPpta3hl4EHgU\n+A2wd2rbLcBLw/LhQe4yYBFwYkpuDfBT4Bhg00FsHwX8Ieh6O/AIcDOwFHh/5rh+CjwE/A24PRzj\nlcAmKbltgWuA3wNLgvxTIW/7jO2JIf+XwGeAUalt308tvxqYDfwI2DHYXAncAeyU0bl7Ju0BPAHs\nBuyekvtwanlC8Hkl8CvglaltV6fK/ADg8VAOjwHvzdheEc7HmwkD5XYp87eHsrstHNd9wMPhON+c\nkd0GmA78EXgu2H8c+HymvF4PzAUWh+P7KfBAyNu927FkbD2eWd817L+UZBTnzVLb7oh1/Ra5hsl5\n/Ra8hsssy32D3fuAvYE54dpYCrwhJXdIJr0b+F3fesz6Jdb5GUDH7Mz6WOCLwH8AH8hs+0ZqeWvg\nUuDrwBYk98wi4DpgXGa/zTNpi1A+mwGbp+SmpJY3Ab4N3AN8B9gqte2CVFlODn4/RFJvvDFjewHw\nWWDHQcphcjhHV5PUnXNI6oV5wG4pudHAOeEa+iNJXTwXOKqDztz19QDHtSiz3tN6nZx1epDtab1O\nzjo9yOaq18lZp8c4P3nPjc5Prv/cTUju8wfCcfyBpO6+gEGeuwaq3/LK0eN6kJx1YJDtaT1Izjow\npafS9SC6z3p5nw373FTt/CjVM5V+AHVJwILU8o+At4flvYBfpbbdm1qeB2wRljcG7kltWwS8E5hB\n8kf7A+AwYKMOthcBLwV2AFYR/lSArTI65wKvSh3XVWH5I8D1Kbn/AQ4F1k3lrRvsz83YngMcT/IS\neUmocPt8uisl9wvgXcD7Q2V7GGAh7+aMzueDnltS6S/h92ddyvw6YCpJ66L/k9aZqQh/1VeJhjK7\nO2P718AJwH8Dy4CLgX06lPlCYCfgDeH87BPyd0ofV8j7GbBfWD4E+ArwEuA8YFpG594dbO2TPk7g\nE13SJ4EVmX1vA6YAmwKfIvlz6rs+0uenp9dvkWuYnNdvwWu4zLK8gyQA8gbg/wF/H/J3B/47Jfcs\n8EPgcuCKkFaH38tj1i8xzg9rPxCkHwyWZ3TeQPKwfDAwM6xv0MHXHwMnAqeTPHCfRvIwcyLwgw71\nxqOZ9Gz4faRLWV5Gch9uB3yc/i/s6XrjFmDPsPxK4M6M7UeBfyV5oLsj6Nqmw/V3B8kD4/tJgkLv\nCflvBv4nJfcDkmDSBJLr8XPAJOAq4AsZnbnqa9YOoqWDab/P6OxpvU7OOr3D+Rl2vU7OOj1Vbwxa\nr5OzTo9xfvKeG52fXP+5N5HUKVun8rYOeT/J2M5Vv+WVi1EPkrMOjFEPkrMOrEs9iO6zXt5nRd4p\nanF+lOqZSj+AuqTMjZ69odIPgXcB48PyLcCGYXld4L4u+jYC3gfcGCqY72T0L0wt/zazLf3SkX2B\nT9tYnFpeMoCfS7rZDusfIrzsdSsT4KFuxxHW3w38nPDiFvIeHaTMs8eRtncfMDYs3wask942gM5t\ngVNJvkA8QupPNCO3dJAyyZb7/NTyAznL/aHU8l+Bc4GzO6SVg9h+E0mkfJ+MDz29fotcw3mv3x5e\nw7HL8q5Ox9ThePck+fryzwNd53U5PyRfan5G/weCFx4MBrlHziR52NpigLLMtpzJ6vgkycP/rgOV\nJwPXG2lfFwPrheXsg1e2ZUNa5z8A3yBpdXMLMDWnP+lt2WttXvhdh1SdkeNaX5JafpbkC9UVHdLq\nQcp2WPU6Oev0HOencL1Ozjq9g2zXer3D+elYp8c4P3nPjc7P4OcH+PUA5+bXmfVc9VteuS7lN6x6\nkJx1YI7zWLgeJGcdmMOfStSDHcpE99nQ77Mi7xS1OD9K9Uwv9KMWg/JyM5tJEv2bYGYbu/ufw7ZR\nKbmPAz8xsxtIbsCfmdlNwN+T3LR9WN+Cu/+FJFJ7nZltQhLVT/O4mX0RGAM8YGb/RvJy8hZgeUru\nYTP7HMkf7iEk0VjMbBT9x0+Zb2bfIImGLw15E4EjSV6a0owysw3d/a/hWK82s9+RfAF5SUpu3dTy\nRRkd66dX3P2GUCbnmtmHSf6onbWZYGZfIymrLc1slLs/23dcKbl/AW4xs6+TPDD8ZzhXbyJ5AEiT\nLvfHgS8BXzKzV5NEmvtYaWbHkTQffdrMPk5yjt4C/Cmj8/dm9iGSP/dDSJqDYmZG/3KfbWY/ImnO\nly73IzLHuYDkS8r8bIGY2bEd8jZx9z8Gn24xs3eTfBFK92vs9fUL+a/hvNcv5L+GyyzL9HGckVHx\nwrXu7vPM7K3AiWZ2C8nXt07XOdTj/CwGjnP3JdmDN7OlmawNzGwdd38+2D/fzJaRfFFJj2WSLsvp\nGR39xnxy938zs2uBrwR7Z9O5PF9mZp8I/o81M3P3Prm0zm8As8zsAuDHZnZx8Ht/wnXXCXf/JfBL\nMzsReCtJvTEtbP6rmb2NpLm3m9nB7v59M3sjyctQH/9rZn/v7reFcVZWBN3Ph3ojTd76+h7gX939\n3uwxm9lbMlk9rdcL1OnQ+3o9b50O+ev1vHU69P785D03oPMz2Pl5zMxOJWnx92SQ2YqkdUC2zspb\nv5VWDxaoAyFiPThIHQj1qAd1n/XuPivyTlGX8yPqSNlRlbok4I2ZNDrkbwV8LCO7CfDPJE21LiF5\nmXl1RuZTBWyPJXl5Op3kj/DdJM3av07//pabklRkPwTOB8akjmeflNz64fh+TNL0fFFY/iihaWRK\n9uNk+peH/N2AOan14/rKJCP3CuCrA/i2O0mF+fsO247MpM1C/tasHXmeBFwIfA/4L5L+qQd00HlR\nzjKfCHwL+Gaw93HgXpKuAdkxQrYl+UO4l6T/47iQvwXw7ozs24PO/wrpm8A7MjKvIvSh7HBcW2XW\nP0Dn7jPbAv831vVb5BrOe/0WuYYLluWWPS7LA4GNO8jtCJzaxdb4cI080mV75c8P8B5C16AOOg7O\nrH8JeEsHuSn0/6p2Dt3rjesHOOaDSLoq/a7DtrMzacuQvzUwPSP7JuBakgevRST9co9j7XETrslZ\nlq8jeeiaTdLP92KSvr33AX+XknstSRPtlSRf3/q6XG0JnJTR2am+nk2mvib5erptl+OanFmPVq8H\nHbcAT3XZXqRefwWD1OvkrNODbF+9fikD1OsUq9N7en7ynhudn8HPD8lYExfy4pgaK0iCEhey9hgU\nueq3vHJhPVo9yAB1YNje03qQnHVgkK18PYjus17eZ7nOTZ3Oj1I9k4WTK0RphKjvGHdfVfaxCCHq\ngZltRDL+x1pffES5qE6vNjo/zUB1YLXRfVZtdH6ah6Z0zYmZrWtmx5nZuWa2b2bbZ7vI/V1Oua76\nItne2MxONbNPm9mGZnakmc00sy9ZZppLM1sv6Pyxmd0T0mwzO96SLgGF5DrJAncD1w6gc3ZO2wPK\nDdGfrM7jBtA5qP1umNm0waXyy8XQWabtrGyF7rNhyw1DZ1e/Ix7nAWZ2aagvZoblKXQgr+xQdZJ8\nWfzYcHSOoD8HDMd2N8zsrF7K9UqnJ6wqw/ZQ5IarM5zLY8xsu0z+h7vIbd8LuaHqzJyfXujsid+9\ntm0J7zOz94blN5vZ18zso2a2Tma/IrKl1YOWsw6MbXuIfteiHuxVvdGmejBvXZCR3X4g2cj1xqD1\noKgfaqmREzO7jGSGgTtIplL8ubt/Imxb4O67x5CLZPs6kn5vG5E0z19M8ud4IMko4YenbH+XpGng\nVSRTH0EyUvWRJM03Dy0iF0NnmbYL6kyPy5DGSAZkmlBELobOMm0X1FmH+6w025H8+SrJiPjT6X+d\nH0HSlPrklO1csmXqrIvtgTCzx919217JxdDZdNtm9gWSMW0WkIy2/1V3vyRsS98/eeW+SDJt9IBy\nRWTz2o6hs6A/vS7LbwAvI2kevwrYgGQWkn8Cnszc47lk61JvNMn2YNSx3hhJnbFtF6xfalEPipri\nFegDU4dE/1kA1iMZFOlGkj++u2LJRbK9MPwayejVllrPzkbx4ABl8mBRuRg6y7RdUOdzJCNRP5pK\nfet/KyoXQ2eZtgvqrMN9VprtSP50vM5J6o3sCOe5ZMvUWSPbq7qk1cCaonIxdLbVdpBdxIuzR2wK\nzAK+EtbviiVXF51l2w6/o0hmfVo/rK9Hhymw88hSn3qjMbZj3Lt55eqis2TbjaqzlOqb1P0kP+kR\ndNe4+1SSkaF/Rv9RrHstF0snntzJs8Jv37pnxFZY0hzzhWvFzNYxs0OBp4cgF0NnmbaLyD5CMuf3\nDqn0cnffAXhyCHIxdJZpu4hsHe6zsu/xXuv8q5ntydrsSTJ1LkOQLVNnXWyvBCa5+9hMGkP/2Wny\nysXQ2VbbkDwkrwFw95UkXwDHmtl/0n/mr17L1UVnmbb7ZJ4lmS70b2F9DfB8xnZe2brUG02yDc2r\nN5rkT9PqLFFXvAKRlTokkpF/p3TIPxZ4NpZcJNuX0Xmk4B2B2zJ525N0Tfk98GBIvw95OxSVi6Gz\nTNsFdX4MeF2X6+vEonIxdJZpu6DOOtxnpdmO5M/uwO3A/cBPQlpMMgL/Hpl9c8mWqbNGts8D9upy\nT1xYVC6GzrbaDus/pPMo/ecBz8eSq4vOkm3PpvOzztbAHZm8XLLUp95ojO0Y925eubroLNl2o+os\npfomjakh+mHWby7z7LYtANz9D4PoyCUXQ2eZtovKClFHzGxrkilqAZa5+++GK1umzrrYFtXEkhko\ncPe/dNg23t2XxZCri86y/emEmb0EeIm7PzWQ3ECydak3mmRbVJOy7/GRqjdEDSg7qlLnBEwrQ65p\ntuWPbLfFnwaW5ecL2M4lW6bOttpumj8qy2rrbKvtpvmjsqy2zrbajqVTqfpJY2oMj8klyTXNdgyd\n8qcZtmPobKvtGDoPLGA7r2yZOttqO4bOttqOoVP+NMN2DJ1ttR1Dp/xphu1YOkXFUVBjeAzadDGS\nXNNsx9Apf5phO4bOttqOodMK2M4rW6bOttqOobOttmPolD/NsB1DZ1ttx9Apf5phO5ZOUXE0poYQ\nQoghYWbruHt2FoFhyZaps622Y+hsq+0YOuVPM2zH0NlW2zF0yp9m2I6lU1QftdToAWY2rQy5kbBt\nZuua2XFmdq6Z7ZvZ9tmicjF0lmm7af6oLJthO5I/G5vZqWb2aTPb0MyOAr5vZl8ys9GZ/XLJlqmz\nrbab5o/Ksto6m2a7Cw8Msn0osr2Wa5rtGDrlTzNsx9IpKo5aauTEzDbvtgm4290nxJCrgO3LgI2B\nO4DDgZ+7+yfCtgXuvnsRuRg6y7TdNH9Uls2wHcmf64ClwEbAq0im3ruWpE/q1u5+eMp2LtkydbbV\ndtP8UVlWW2cDba8G+h6c+5qubwz8GXB3H5vSmUu213JNsy1/ZHukdYqa4hUYrbQOCXgOeAR4NJX6\n1v8WS64Ctu9JLa8HTANuBDYA7ioqF0Nnmbab5o/Kshm2I/mzMPwa8Dt4IShuaR1FZMvU2VbbTfNH\nZVltnQ20/TVgOrBVKu/RtK6isr2Wa5pt+SPbI61TqZ5J3U/y8wiwn7vvkEovd/cdgCcjypVte/2+\nBXdf4+5TgYXAz4DRQ5CLobNM203zR2XZDNuxdOLuDswKv33rnpUrIlumzrbabpo/Kstq62yKbXc/\nCbgY+K6ZnWRm6wygK5dsr+WaZlv+yPZI6xQ1xSsQWalDAj4GvK7LthNjyVXA9tXAlA5yxwLPFpWL\nobNM203zR2XZDNuR/LkMGN1BbkfgtkxeLtkydbbVdtP8UVlWW2fTbKfy1wFOAn4J/Da7fSiyvZZr\nmm35I9sjrVOpXkljagghhBgWZmae888kr2yZOttqO4bOttqOoVP+VM+2mY0DdnP3WTn05JLttVzT\nbMfQKX+aYTuWTlEP1iv7AOqEmb0aOAgYH7KWATPdfXFMuabZlj+y3RZ/VJbV1tlW203zR2VZbZ1t\nsG1mj+bV2Um213JNsy1/ZHukdYr6oTE1cmJmpwHXAEYyS8AdYfm7ZnZ6LLmm2ZY/st0Wf1SW1dbZ\nVttN80dlWW2dbbXdNH9UltXW2VbbsXSKmuIV6ANThwQ8CIzqkL8+sCSWXNNsyx/Zbos/Kstq62yr\n7ab5o7Ksts622m6aPyrLautsq+1YOpXqmdRSIz/PA9t0yB8XtsWSa5rtGDrlTzNsx9DZVtsxdMqf\nZtiOobOttmPolD/NsB1DZ1ttx9Apf5phO5ZOUUM0pkZ+TgFuNrMlwNKQty3wCuCEiHJNsy1/ZLst\n/qgsq62zrbab5o/Ksto622q7af6oLKuts622Y+kUNUSznxTAkjmN96L/IFLz3P25mHJNsy1/ZLst\n/qgsq62zrbab5o/Ksto622q7af6oLKuts622Y+kUNaTs/i91TsDUMuSaZlv+yHZb/FFZVltnW203\nzR+VZbV1ttV20/xRWVZbZ1ttx9KpVP1U+gHUOQELypBrmm35I9tt8UdlWW2dbbXdNH9UltXW2Vbb\nTfNHZVltnW21HUunUvWTBgodHlaSXNNsx9Apf5phO4bOttqOoVP+NMN2DJ1ttR1Dp/xphu0YOttq\nO4ZO+dMM27F0ioqjMTWGgZlNcPcnRlquabZj6JQ/zbAdQ2dbbcfQKX+aYTuGzrbajqFT/jTDdgyd\nbbUdQ6f8aYbtWDpF9VFQowBm9nLgEGAi8BzJnMffcfdVMeWaZlv+yHZb/FFZVltnW203zR+VZbV1\nttV20/xRWVZbZ1ttx9Ip6oe6n+TEzE4CvglsCOwJbEByU8w1s/1iyTXNtvyR7bb4o7Ksts622m6a\nPyrLautsq+2m+aOyrLbOttqOpVPUFK/AwB51SMAiYN2wvDFwa1jeFrgrllzTbMsf2W6LPyrLauts\nq+2m+aOyrLbOttpumj8qy2rrbKvtWDqV6pnUUqMY64XfDYDRAO7+ODAqslzTbMsf2W6LPyrLauts\nq+2m+aOyrLbOttpumj8qy2rrbKvtWDpFzVhvcBERuAyYZ2a3A/8AXAhgZlsCKyLKNc22/JHttvij\nsqy2zrbabpo/Kstq62yr7ab5o7Ksts622o6lU9QQDRRaADN7DbATcK+7PzBSck2zLX9kuy3+qCyr\nrbOttpvmj8qy2jrbartp/qgsq62zrbZj6RT1Q0GNHmBmo939TyMt1zTbMXTKn2bYjqGzrbZj6JQ/\nzbAdQ2dbbcfQKX+aYTuGzrbajqFT/jTDdiydorpoTI3ecH9Jck2zHUOn/GmG7Rg622o7hk750wzb\nMXS21XYMnfKnGbZj6Gyr7Rg65U8zbMfSKSqKxtTIiZl9otsmwmAzMeSaZjuGTvnTDNsxdLbVdgyd\n8qcZtmPobKvtGDrlTzNsx9DZVtsxdMqfZtiOpVPUE7XUyM8XgM2AMZk0mv7l2Gu5ptmWP7LdFn9U\nltXW2VbbTfNHZVltnW213TR/VJbV1tlW27F0ijriFZhXtg4J+BWwR5dtS2PJNc22/JHttvijsqy2\nzrbabpo/Kstq62yr7ab5o7Ksts622o6lU6meqfQDqEsCXgVs2WXbVrHkmmZb/sh2W/xRWVZbZ1tt\nN80flWW1dbbVdtP8UVlWW2dbbcfSqVTPpNlPhBBCCCGEEEIIUU/KjqrUJQGbABcADwArgD8Ai0Pe\nprHkmmZb/sh2W/xRWVZbZ1ttN80flWW1dbbVdtP8UVlWW2dbbcfSqVTPpIFR8nMd8DSwn7tv7u5b\nAG8KeddFlGuabfkj223xR2VZbZ1ttd00f1SW1dbZVttN80dlWW2dbbUdS6eoI16ByEodEvDrPNt6\nLdc02/JHttvij8qy2jrbartp/qgsq62zrbab5o/Ksto622o7lk6leia11MjPY2Z2qplt1ZdhZluZ\n2WnA0ohyTbMtf2S7Lf6oLKuts622m+aPyrLaOttqu2n+qCyrrbOttmPpFDVEQY38HApsAfzczJ42\nsxXArcDmwPsiyjXNtvyR7bb4o7Ksts622m6aPyrLautsq+2m+aOyrLbOttqOpVPUkbKbitQpAa8G\n3gKMzuRPiSnXNNvyR7bb4o/Ksto622q7af6oLKuts622m+aPyrLaOttqO5ZOpfql0g+gLgk4Cfg1\n8H3gN8BBqW0LYsk1zbb8ke22+KOyrLbOttpumj8qy2rrbKvtpvmjsqy2zrbajqVTqZ6p9AOoSwIW\nESJ7wPbAncDJYf2uWHJNsy1/ZLst/qgsq62zrbab5o/Ksto622q7af6oLKuts622Y+lUqmdaD5GX\nddz9TwDu/hsz2w+43sy2AyyiXNNsyx/Zbos/Kstq62yr7ab5o7Ksts622m6aPyrLautsq+1YOkUN\n0UCh+XnSzF7ftxJujHcCLwV2jSjXNNvyR7bb4o/Ksto622q7af6oLKuts622m+aPyrLaOttqO5ZO\nUUe8As1F6pCACcDWXbbtG0uuabblj2y3xR+VZbV1ttV20/xRWVZbZ1ttN80flWW1dbbVdiydSvVM\nFk6mEEIIIYQQQgghRK1Q9xMhhBBCCCGEEELUEgU1hBBCCCGEEEIIUUsU1BBCCCFajpl93sw+VfZx\nCCGEEEIURUENIYQQQgghhBBC1BIFNYQQQogWYmZnmtmDZnYb8KqQ9xEzm2dmd5vZDWa2sZmNMbNH\nzWxUkBmbXhdCCCGEKBMFNYQQQoiWYWZ7AIcBrwfeAewZNt3o7nu6++uAxcAx7r4auBX4pyBzWJB7\ndmSPWgghhBBibRTUEEIIIdrHPwDfc/c/u/sqYGbI38XMfmlmi4APAq8J+ZcBR4flo4ErRvRohRBC\nCCG6oKCGEEIIIfq4EjjB3XcF/gXYEMDd/xvY3sz2A9Z193tLO0IhhBBCiBQKagghhBDt4xfAwWa2\nkZmNAd4V8scAy8N4GR/M7DMd+A5qpSGEEEKICmHuXvYxCCGEEGKEMbMzgSOBp4DHgQXA/wKnIIcq\nFQAAALBJREFUAr8HbgfGuPtRQX5r4FFgnLuvLOOYhRBCCCGyKKghhBBCiEExs/cAB7n74WUfixBC\nCCFEH+uVfQBCCCGEqDZmdgnwdpKZUoQQQgghKoNaagghhBBCCCGEEKKWaKBQIYQQQgghhBBC1BIF\nNYQQQgghhBBCCFFLFNQQQgghhBBCCCFELVFQQwghhBBCCCGEELVEQQ0hhBBCCCGEEELUEgU1hBBC\nCCGEEEIIUUv+PzywStW2OuKIAAAAAElFTkSuQmCC\n",
            "text/plain": [
              "<Figure size 1440x576 with 2 Axes>"
            ]
          },
          "metadata": {
            "tags": []
          }
        }
      ]
    }
  ]
}