fraud_detection_EDA.ipynb

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      "source": [
        "## <center>**PROJECT: ```Fraud Detection Using Credit Card Transactions```**</center>"
      ]
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      "source": [
        "# <center>**FILE 1: ```EDA```**</center>"
      ]
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      "source": [
        "## **Imports**"
      ]
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      "source": [
        "import missingno\n",
        "import pandas as pd\n",
        "import seaborn as sns\n",
        "import geopandas as gpd\n",
        "from copy import deepcopy\n",
        "import matplotlib.pyplot as plt\n",
        "from sklearn.model_selection import train_test_split"
      ]
    },
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      "source": [
        "## **Dataset Loading**\n",
        "The following Python code snippet reads data from a CSV file using the `pandas` library:"
      ]
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          "text": [
            "(1296675, 23)\n"
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      "source": [
        "df = pd.read_csv('Dataset/fraudTrain.csv')\n",
        "print(df.shape)"
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      "source": [
        "The following Python code snippet calculates and prints the number of rows in the previously loaded DataFrame:\n"
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          "text": [
            "Number of rows: 1296675\n"
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      "source": [
        "num_rows = df.shape[0]\n",
        "print(\"Number of rows:\", num_rows)"
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        "The following Python code snippet displays the first three rows of the previously loaded DataFrame:\n"
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              "      <td>fraud_Heller, Gutmann and Zieme</td>\n",
              "      <td>grocery_pos</td>\n",
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              "      <td>Stephanie</td>\n",
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              "      <td>1325376044</td>\n",
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              "      <td>2019-01-01 00:00:51</td>\n",
              "      <td>38859492057661</td>\n",
              "      <td>fraud_Lind-Buckridge</td>\n",
              "      <td>entertainment</td>\n",
              "      <td>220.11</td>\n",
              "      <td>Edward</td>\n",
              "      <td>Sanchez</td>\n",
              "      <td>M</td>\n",
              "      <td>594 White Dale Suite 530</td>\n",
              "      <td>...</td>\n",
              "      <td>42.1808</td>\n",
              "      <td>-112.2620</td>\n",
              "      <td>4154</td>\n",
              "      <td>Nature conservation officer</td>\n",
              "      <td>1962-01-19</td>\n",
              "      <td>a1a22d70485983eac12b5b88dad1cf95</td>\n",
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              "      <td>43.150704</td>\n",
              "      <td>-112.154481</td>\n",
              "      <td>0</td>\n",
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              "<p>3 rows × 23 columns</p>\n",
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              "   Unnamed: 0 trans_date_trans_time            cc_num  \\\n",
              "0           0   2019-01-01 00:00:18  2703186189652095   \n",
              "1           1   2019-01-01 00:00:44      630423337322   \n",
              "2           2   2019-01-01 00:00:51    38859492057661   \n",
              "\n",
              "                          merchant       category     amt      first     last  \\\n",
              "0       fraud_Rippin, Kub and Mann       misc_net    4.97   Jennifer    Banks   \n",
              "1  fraud_Heller, Gutmann and Zieme    grocery_pos  107.23  Stephanie     Gill   \n",
              "2             fraud_Lind-Buckridge  entertainment  220.11     Edward  Sanchez   \n",
              "\n",
              "  gender                        street  ...      lat      long  city_pop  \\\n",
              "0      F                561 Perry Cove  ...  36.0788  -81.1781      3495   \n",
              "1      F  43039 Riley Greens Suite 393  ...  48.8878 -118.2105       149   \n",
              "2      M      594 White Dale Suite 530  ...  42.1808 -112.2620      4154   \n",
              "\n",
              "                                 job         dob  \\\n",
              "0          Psychologist, counselling  1988-03-09   \n",
              "1  Special educational needs teacher  1978-06-21   \n",
              "2        Nature conservation officer  1962-01-19   \n",
              "\n",
              "                          trans_num   unix_time  merch_lat  merch_long  \\\n",
              "0  0b242abb623afc578575680df30655b9  1325376018  36.011293  -82.048315   \n",
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              "2  a1a22d70485983eac12b5b88dad1cf95  1325376051  43.150704 -112.154481   \n",
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      "source": [
        "df.head(3)"
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    {
      "cell_type": "markdown",
      "id": "8ae6dbdb",
      "metadata": {},
      "source": [
        "## **Dataset Preprocessing and Visualization**"
      ]
    },
    {
      "cell_type": "markdown",
      "id": "8c1aa9ff",
      "metadata": {},
      "source": [
        "### ```Remove the unnamed index column```"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 63,
      "id": "40ab9937",
      "metadata": {},
      "outputs": [],
      "source": [
        "df = df.drop(columns=df.columns[df.columns.str.contains('Unnamed')])"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 64,
      "id": "705986ef",
      "metadata": {},
      "outputs": [
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              "      <td>entertainment</td>\n",
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              "      <td>Edward</td>\n",
              "      <td>Sanchez</td>\n",
              "      <td>M</td>\n",
              "      <td>594 White Dale Suite 530</td>\n",
              "      <td>Malad City</td>\n",
              "      <td>...</td>\n",
              "      <td>42.1808</td>\n",
              "      <td>-112.2620</td>\n",
              "      <td>4154</td>\n",
              "      <td>Nature conservation officer</td>\n",
              "      <td>1962-01-19</td>\n",
              "      <td>a1a22d70485983eac12b5b88dad1cf95</td>\n",
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              "      <td>0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>3</th>\n",
              "      <td>2019-01-01 00:01:16</td>\n",
              "      <td>3534093764340240</td>\n",
              "      <td>fraud_Kutch, Hermiston and Farrell</td>\n",
              "      <td>gas_transport</td>\n",
              "      <td>45.00</td>\n",
              "      <td>Jeremy</td>\n",
              "      <td>White</td>\n",
              "      <td>M</td>\n",
              "      <td>9443 Cynthia Court Apt. 038</td>\n",
              "      <td>Boulder</td>\n",
              "      <td>...</td>\n",
              "      <td>46.2306</td>\n",
              "      <td>-112.1138</td>\n",
              "      <td>1939</td>\n",
              "      <td>Patent attorney</td>\n",
              "      <td>1967-01-12</td>\n",
              "      <td>6b849c168bdad6f867558c3793159a81</td>\n",
              "      <td>1325376076</td>\n",
              "      <td>47.034331</td>\n",
              "      <td>-112.561071</td>\n",
              "      <td>0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>4</th>\n",
              "      <td>2019-01-01 00:03:06</td>\n",
              "      <td>375534208663984</td>\n",
              "      <td>fraud_Keeling-Crist</td>\n",
              "      <td>misc_pos</td>\n",
              "      <td>41.96</td>\n",
              "      <td>Tyler</td>\n",
              "      <td>Garcia</td>\n",
              "      <td>M</td>\n",
              "      <td>408 Bradley Rest</td>\n",
              "      <td>Doe Hill</td>\n",
              "      <td>...</td>\n",
              "      <td>38.4207</td>\n",
              "      <td>-79.4629</td>\n",
              "      <td>99</td>\n",
              "      <td>Dance movement psychotherapist</td>\n",
              "      <td>1986-03-28</td>\n",
              "      <td>a41d7549acf90789359a9aa5346dcb46</td>\n",
              "      <td>1325376186</td>\n",
              "      <td>38.674999</td>\n",
              "      <td>-78.632459</td>\n",
              "      <td>0</td>\n",
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              "  trans_date_trans_time            cc_num                            merchant  \\\n",
              "0   2019-01-01 00:00:18  2703186189652095          fraud_Rippin, Kub and Mann   \n",
              "1   2019-01-01 00:00:44      630423337322     fraud_Heller, Gutmann and Zieme   \n",
              "2   2019-01-01 00:00:51    38859492057661                fraud_Lind-Buckridge   \n",
              "3   2019-01-01 00:01:16  3534093764340240  fraud_Kutch, Hermiston and Farrell   \n",
              "4   2019-01-01 00:03:06   375534208663984                 fraud_Keeling-Crist   \n",
              "\n",
              "        category     amt      first     last gender  \\\n",
              "0       misc_net    4.97   Jennifer    Banks      F   \n",
              "1    grocery_pos  107.23  Stephanie     Gill      F   \n",
              "2  entertainment  220.11     Edward  Sanchez      M   \n",
              "3  gas_transport   45.00     Jeremy    White      M   \n",
              "4       misc_pos   41.96      Tyler   Garcia      M   \n",
              "\n",
              "                         street            city  ...      lat      long  \\\n",
              "0                561 Perry Cove  Moravian Falls  ...  36.0788  -81.1781   \n",
              "1  43039 Riley Greens Suite 393          Orient  ...  48.8878 -118.2105   \n",
              "2      594 White Dale Suite 530      Malad City  ...  42.1808 -112.2620   \n",
              "3   9443 Cynthia Court Apt. 038         Boulder  ...  46.2306 -112.1138   \n",
              "4              408 Bradley Rest        Doe Hill  ...  38.4207  -79.4629   \n",
              "\n",
              "   city_pop                                job         dob  \\\n",
              "0      3495          Psychologist, counselling  1988-03-09   \n",
              "1       149  Special educational needs teacher  1978-06-21   \n",
              "2      4154        Nature conservation officer  1962-01-19   \n",
              "3      1939                    Patent attorney  1967-01-12   \n",
              "4        99     Dance movement psychotherapist  1986-03-28   \n",
              "\n",
              "                          trans_num   unix_time  merch_lat  merch_long  \\\n",
              "0  0b242abb623afc578575680df30655b9  1325376018  36.011293  -82.048315   \n",
              "1  1f76529f8574734946361c461b024d99  1325376044  49.159047 -118.186462   \n",
              "2  a1a22d70485983eac12b5b88dad1cf95  1325376051  43.150704 -112.154481   \n",
              "3  6b849c168bdad6f867558c3793159a81  1325376076  47.034331 -112.561071   \n",
              "4  a41d7549acf90789359a9aa5346dcb46  1325376186  38.674999  -78.632459   \n",
              "\n",
              "   is_fraud  \n",
              "0         0  \n",
              "1         0  \n",
              "2         0  \n",
              "3         0  \n",
              "4         0  \n",
              "\n",
              "[5 rows x 22 columns]"
            ]
          },
          "execution_count": 64,
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          "output_type": "execute_result"
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      ],
      "source": [
        "df.head()"
      ]
    },
    {
      "cell_type": "markdown",
      "id": "48a71670",
      "metadata": {
        "id": "48a71670"
      },
      "source": [
        "### ```Splitting 1st column into seperate time and date fields: This is the part of Feature Engineering section but doing this here for better visualization```\n",
        "The following Python code snippet adds two new columns, 'Dates' and 'Time', to the DataFrame by extracting date and time information from the 'trans_date_trans_time' column:"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 65,
      "id": "0420f4b6",
      "metadata": {
        "ExecuteTime": {
          "end_time": "2023-11-15T14:32:29.226093+00:00",
          "start_time": "2023-11-15T14:32:21.270662+00:00"
        },
        "id": "0420f4b6",
        "noteable": {}
      },
      "outputs": [],
      "source": [
        "df['Dates'] = pd.to_datetime(df['trans_date_trans_time']).dt.date\n",
        "df['Time'] = pd.to_datetime(df['trans_date_trans_time']).dt.time"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 66,
      "id": "a3b63deb",
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        "ExecuteTime": {
          "end_time": "2023-11-15T14:32:29.386177+00:00",
          "start_time": "2023-11-15T14:32:27.842531+00:00"
        },
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "a3b63deb",
        "noteable": {
          "output_collection_id": "6be18a59-b2bd-4b2e-97e3-4df7ce8acac9"
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        "outputId": "1dbe7ad3-056d-43fd-94d1-0eaa3e45e7da"
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      "outputs": [
        {
          "data": {
            "text/plain": [
              "Index(['trans_date_trans_time', 'cc_num', 'merchant', 'category', 'amt',\n",
              "       'first', 'last', 'gender', 'street', 'city', 'state', 'zip', 'lat',\n",
              "       'long', 'city_pop', 'job', 'dob', 'trans_num', 'unix_time', 'merch_lat',\n",
              "       'merch_long', 'is_fraud', 'Dates', 'Time'],\n",
              "      dtype='object')"
            ]
          },
          "execution_count": 66,
          "metadata": {},
          "output_type": "execute_result"
        }
      ],
      "source": [
        "columns = df.columns\n",
        "columns"
      ]
    },
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      "outputs": [
        {
          "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>cc_num</th>\n",
              "      <th>amt</th>\n",
              "      <th>zip</th>\n",
              "      <th>lat</th>\n",
              "      <th>long</th>\n",
              "      <th>city_pop</th>\n",
              "      <th>unix_time</th>\n",
              "      <th>merch_lat</th>\n",
              "      <th>merch_long</th>\n",
              "      <th>is_fraud</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>count</th>\n",
              "      <td>1.296675e+06</td>\n",
              "      <td>1.296675e+06</td>\n",
              "      <td>1.296675e+06</td>\n",
              "      <td>1.296675e+06</td>\n",
              "      <td>1.296675e+06</td>\n",
              "      <td>1.296675e+06</td>\n",
              "      <td>1.296675e+06</td>\n",
              "      <td>1.296675e+06</td>\n",
              "      <td>1.296675e+06</td>\n",
              "      <td>1.296675e+06</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>mean</th>\n",
              "      <td>4.171920e+17</td>\n",
              "      <td>7.035104e+01</td>\n",
              "      <td>4.880067e+04</td>\n",
              "      <td>3.853762e+01</td>\n",
              "      <td>-9.022634e+01</td>\n",
              "      <td>8.882444e+04</td>\n",
              "      <td>1.349244e+09</td>\n",
              "      <td>3.853734e+01</td>\n",
              "      <td>-9.022646e+01</td>\n",
              "      <td>5.788652e-03</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>std</th>\n",
              "      <td>1.308806e+18</td>\n",
              "      <td>1.603160e+02</td>\n",
              "      <td>2.689322e+04</td>\n",
              "      <td>5.075808e+00</td>\n",
              "      <td>1.375908e+01</td>\n",
              "      <td>3.019564e+05</td>\n",
              "      <td>1.284128e+07</td>\n",
              "      <td>5.109788e+00</td>\n",
              "      <td>1.377109e+01</td>\n",
              "      <td>7.586269e-02</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>min</th>\n",
              "      <td>6.041621e+10</td>\n",
              "      <td>1.000000e+00</td>\n",
              "      <td>1.257000e+03</td>\n",
              "      <td>2.002710e+01</td>\n",
              "      <td>-1.656723e+02</td>\n",
              "      <td>2.300000e+01</td>\n",
              "      <td>1.325376e+09</td>\n",
              "      <td>1.902779e+01</td>\n",
              "      <td>-1.666712e+02</td>\n",
              "      <td>0.000000e+00</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>25%</th>\n",
              "      <td>1.800429e+14</td>\n",
              "      <td>9.650000e+00</td>\n",
              "      <td>2.623700e+04</td>\n",
              "      <td>3.462050e+01</td>\n",
              "      <td>-9.679800e+01</td>\n",
              "      <td>7.430000e+02</td>\n",
              "      <td>1.338751e+09</td>\n",
              "      <td>3.473357e+01</td>\n",
              "      <td>-9.689728e+01</td>\n",
              "      <td>0.000000e+00</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>50%</th>\n",
              "      <td>3.521417e+15</td>\n",
              "      <td>4.752000e+01</td>\n",
              "      <td>4.817400e+04</td>\n",
              "      <td>3.935430e+01</td>\n",
              "      <td>-8.747690e+01</td>\n",
              "      <td>2.456000e+03</td>\n",
              "      <td>1.349250e+09</td>\n",
              "      <td>3.936568e+01</td>\n",
              "      <td>-8.743839e+01</td>\n",
              "      <td>0.000000e+00</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>75%</th>\n",
              "      <td>4.642255e+15</td>\n",
              "      <td>8.314000e+01</td>\n",
              "      <td>7.204200e+04</td>\n",
              "      <td>4.194040e+01</td>\n",
              "      <td>-8.015800e+01</td>\n",
              "      <td>2.032800e+04</td>\n",
              "      <td>1.359385e+09</td>\n",
              "      <td>4.195716e+01</td>\n",
              "      <td>-8.023680e+01</td>\n",
              "      <td>0.000000e+00</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>max</th>\n",
              "      <td>4.992346e+18</td>\n",
              "      <td>2.894890e+04</td>\n",
              "      <td>9.978300e+04</td>\n",
              "      <td>6.669330e+01</td>\n",
              "      <td>-6.795030e+01</td>\n",
              "      <td>2.906700e+06</td>\n",
              "      <td>1.371817e+09</td>\n",
              "      <td>6.751027e+01</td>\n",
              "      <td>-6.695090e+01</td>\n",
              "      <td>1.000000e+00</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "</div>"
            ],
            "text/plain": [
              "             cc_num           amt           zip           lat          long  \\\n",
              "count  1.296675e+06  1.296675e+06  1.296675e+06  1.296675e+06  1.296675e+06   \n",
              "mean   4.171920e+17  7.035104e+01  4.880067e+04  3.853762e+01 -9.022634e+01   \n",
              "std    1.308806e+18  1.603160e+02  2.689322e+04  5.075808e+00  1.375908e+01   \n",
              "min    6.041621e+10  1.000000e+00  1.257000e+03  2.002710e+01 -1.656723e+02   \n",
              "25%    1.800429e+14  9.650000e+00  2.623700e+04  3.462050e+01 -9.679800e+01   \n",
              "50%    3.521417e+15  4.752000e+01  4.817400e+04  3.935430e+01 -8.747690e+01   \n",
              "75%    4.642255e+15  8.314000e+01  7.204200e+04  4.194040e+01 -8.015800e+01   \n",
              "max    4.992346e+18  2.894890e+04  9.978300e+04  6.669330e+01 -6.795030e+01   \n",
              "\n",
              "           city_pop     unix_time     merch_lat    merch_long      is_fraud  \n",
              "count  1.296675e+06  1.296675e+06  1.296675e+06  1.296675e+06  1.296675e+06  \n",
              "mean   8.882444e+04  1.349244e+09  3.853734e+01 -9.022646e+01  5.788652e-03  \n",
              "std    3.019564e+05  1.284128e+07  5.109788e+00  1.377109e+01  7.586269e-02  \n",
              "min    2.300000e+01  1.325376e+09  1.902779e+01 -1.666712e+02  0.000000e+00  \n",
              "25%    7.430000e+02  1.338751e+09  3.473357e+01 -9.689728e+01  0.000000e+00  \n",
              "50%    2.456000e+03  1.349250e+09  3.936568e+01 -8.743839e+01  0.000000e+00  \n",
              "75%    2.032800e+04  1.359385e+09  4.195716e+01 -8.023680e+01  0.000000e+00  \n",
              "max    2.906700e+06  1.371817e+09  6.751027e+01 -6.695090e+01  1.000000e+00  "
            ]
          },
          "execution_count": 67,
          "metadata": {},
          "output_type": "execute_result"
        }
      ],
      "source": [
        "df.describe()"
      ]
    },
    {
      "cell_type": "markdown",
      "id": "6b84532f-2cb6-42c2-81ea-d507b9c0faff",
      "metadata": {
        "id": "6b84532f-2cb6-42c2-81ea-d507b9c0faff",
        "noteable": {
          "cell_type": "markdown"
        }
      },
      "source": [
        "### ```Checking Missing Values in DataFrame```\n",
        "\n",
        "The following Python code snippet assesses and displays the number of missing values in each column of a DataFrame:\n"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 68,
      "id": "6a0947ed-d867-4b84-96c8-d18ac6f15772",
      "metadata": {
        "ExecuteTime": {
          "end_time": "2023-11-15T14:32:40.549015+00:00",
          "start_time": "2023-11-15T14:32:29.427011+00:00"
        },
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
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        },
        "outputId": "e5950b00-ba47-45c4-8665-02ad93aa4b0c"
      },
      "outputs": [
        {
          "name": "stdout",
          "output_type": "stream",
          "text": [
            "Number of missing values in each column:\n",
            "trans_date_trans_time    0\n",
            "cc_num                   0\n",
            "merchant                 0\n",
            "category                 0\n",
            "amt                      0\n",
            "first                    0\n",
            "last                     0\n",
            "gender                   0\n",
            "street                   0\n",
            "city                     0\n",
            "state                    0\n",
            "zip                      0\n",
            "lat                      0\n",
            "long                     0\n",
            "city_pop                 0\n",
            "job                      0\n",
            "dob                      0\n",
            "trans_num                0\n",
            "unix_time                0\n",
            "merch_lat                0\n",
            "merch_long               0\n",
            "is_fraud                 0\n",
            "Dates                    0\n",
            "Time                     0\n",
            "dtype: int64\n"
          ]
        }
      ],
      "source": [
        "missing_values = df.isnull().sum()\n",
        "columns_with_missing_values = missing_values[missing_values > 0]\n",
        "print(\"Number of missing values in each column:\")\n",
        "print(missing_values)"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 69,
      "id": "488fe5d7",
      "metadata": {
        "colab": {
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          "height": 708
        },
        "id": "488fe5d7",
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        },
        "outputId": "241a08be-6374-43fa-c290-57498e426a83"
      },
      "outputs": [
        {
          "data": {
            "text/plain": [
              "<Axes: >"
            ]
          },
          "execution_count": 69,
          "metadata": {},
          "output_type": "execute_result"
        },
        {
          "data": {
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            "text/plain": [
              "<Figure size 2500x1000 with 2 Axes>"
            ]
          },
          "metadata": {},
          "output_type": "display_data"
        }
      ],
      "source": [
        "missingno.matrix(df)"
      ]
    },
    {
      "cell_type": "markdown",
      "id": "e3c0425f-6c3d-4fc0-9027-771b4ea1495f",
      "metadata": {
        "id": "e3c0425f-6c3d-4fc0-9027-771b4ea1495f",
        "noteable": {
          "cell_type": "markdown"
        }
      },
      "source": [
        "### ```Visualizing Class Distribution```\n",
        "\n",
        "The following Python code snippet plots a bar chart to visualize the distribution of each class in the 'is_fraud' column:\n"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 70,
      "id": "ffe719f7",
      "metadata": {
        "ExecuteTime": {
          "end_time": "2023-11-15T14:32:41.050297+00:00",
          "start_time": "2023-11-15T14:32:39.414511+00:00"
        },
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 564
        },
        "id": "ffe719f7",
        "noteable": {
          "output_collection_id": "13a726bc-4838-4793-add7-785aaeb59f3e"
        },
        "outputId": "d6f60203-76f5-4e49-9edb-7a6f2c52a65f"
      },
      "outputs": [
        {
          "data": {
            "image/png": 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",
            "text/plain": [
              "<Figure size 1000x600 with 1 Axes>"
            ]
          },
          "metadata": {},
          "output_type": "display_data"
        }
      ],
      "source": [
        "class_distribution = df[\"is_fraud\"].value_counts()\n",
        "class_distribution.plot(kind='bar', rot=0, color='skyblue', figsize=(10, 6))\n",
        "plt.title('Class Distribution')\n",
        "plt.xlabel('Class')\n",
        "plt.ylabel('Count')\n",
        "plt.show()"
      ]
    },
    {
      "cell_type": "markdown",
      "id": "e6e56462",
      "metadata": {},
      "source": [
        "Class labels Percentages, that helps in observing class skewness"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 71,
      "id": "6c0415cc",
      "metadata": {
        "ExecuteTime": {
          "end_time": "2023-11-15T14:32:41.739460+00:00",
          "start_time": "2023-11-15T14:32:40.556005+00:00"
        },
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "6c0415cc",
        "noteable": {
          "output_collection_id": "d1e986b4-2f48-4945-8997-42aca9d1ed4c"
        },
        "outputId": "42505631-3808-4257-84fd-b1f5ae32757a"
      },
      "outputs": [
        {
          "name": "stdout",
          "output_type": "stream",
          "text": [
            "No Frauds 99.42 % of the dataset\n",
            "Frauds 0.58 % of the dataset\n"
          ]
        }
      ],
      "source": [
        "print('No Frauds', round(df['is_fraud'].value_counts()[0]/len(df) * 100,2), '% of the dataset')\n",
        "print('Frauds', round(df['is_fraud'].value_counts()[1]/len(df) * 100,2), '% of the dataset')"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 72,
      "id": "a5296674",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "a5296674",
        "noteable": {
          "output_collection_id": "fba14ded-f572-4677-9136-93b95af7243a"
        },
        "outputId": "15ac9992-b1c4-4492-9b4a-23fda1dd4237"
      },
      "outputs": [
        {
          "name": "stdout",
          "output_type": "stream",
          "text": [
            "is_fraud\n",
            "0    1289169\n",
            "1       7506\n",
            "Name: count, dtype: int64\n"
          ]
        }
      ],
      "source": [
        "class_counts = df[\"is_fraud\"].value_counts()\n",
        "print(class_counts)"
      ]
    },
    {
      "cell_type": "markdown",
      "id": "527ee596",
      "metadata": {},
      "source": [
        "### ```Convert 'trans_date_trans_time' to datetime and create 'Time' column: This is the part of Feature Engineering section but doing this here for better visualization```"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 73,
      "id": "4ca465d6-24a7-4c05-bad7-c3b563bbfd4d",
      "metadata": {
        "ExecuteTime": {
          "end_time": "2023-11-15T14:32:42.274578+00:00",
          "start_time": "2023-11-15T14:32:41.198085+00:00"
        },
        "id": "4ca465d6-24a7-4c05-bad7-c3b563bbfd4d",
        "jupyter": {
          "outputs_hidden": false,
          "source_hidden": false
        },
        "noteable": {
          "cell_type": "code"
        }
      },
      "outputs": [],
      "source": [
        "# Convert 'trans_date_trans_time' to datetime and create 'Time' column\n",
        "df['Time'] = pd.to_datetime(df['trans_date_trans_time'])"
      ]
    },
    {
      "cell_type": "markdown",
      "id": "ec2d2e19",
      "metadata": {},
      "source": [
        "### ```Create a new column 'Hour' representing time in minutes: This is the part of Feature Engineering section but doing this here for better visualization```"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 74,
      "id": "3a262114-f8db-411f-ad6c-1149b4a3893c",
      "metadata": {
        "ExecuteTime": {
          "end_time": "2023-11-15T14:32:42.552291+00:00",
          "start_time": "2023-11-15T14:32:41.745240+00:00"
        },
        "id": "3a262114-f8db-411f-ad6c-1149b4a3893c",
        "jupyter": {
          "outputs_hidden": false,
          "source_hidden": false
        },
        "noteable": {
          "cell_type": "code"
        }
      },
      "outputs": [],
      "source": [
        "# Create a new column 'Hour' representing time in minutes\n",
        "df['Hour'] = df['Time'].dt.hour * 60 + df['Time'].dt.minute\n",
        "\n",
        "# Create bins for 2-hour intervals\n",
        "bins = range(0, 25 * 60, 2 * 60)\n",
        "\n",
        "# Cut the data into bins\n",
        "df['HourBin'] = pd.cut(df['Hour'], bins=bins, right=False)"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 75,
      "id": "704e2c17-ed72-482f-a1b0-3b848d68f0b4",
      "metadata": {
        "ExecuteTime": {
          "end_time": "2023-11-15T14:32:42.720557+00:00",
          "start_time": "2023-11-15T14:32:42.281593+00:00"
        },
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "704e2c17-ed72-482f-a1b0-3b848d68f0b4",
        "jupyter": {
          "outputs_hidden": false,
          "source_hidden": false
        },
        "noteable": {
          "cell_type": "code",
          "output_collection_id": "f70931e4-f48d-4d1a-8924-9dea3cac7fb9"
        },
        "outputId": "9eedb37c-d1d9-4579-a082-e175eb4735a8"
      },
      "outputs": [
        {
          "name": "stdout",
          "output_type": "stream",
          "text": [
            "<class 'pandas.core.frame.DataFrame'>\n",
            "RangeIndex: 1296675 entries, 0 to 1296674\n",
            "Data columns (total 26 columns):\n",
            " #   Column                 Non-Null Count    Dtype         \n",
            "---  ------                 --------------    -----         \n",
            " 0   trans_date_trans_time  1296675 non-null  object        \n",
            " 1   cc_num                 1296675 non-null  int64         \n",
            " 2   merchant               1296675 non-null  object        \n",
            " 3   category               1296675 non-null  object        \n",
            " 4   amt                    1296675 non-null  float64       \n",
            " 5   first                  1296675 non-null  object        \n",
            " 6   last                   1296675 non-null  object        \n",
            " 7   gender                 1296675 non-null  object        \n",
            " 8   street                 1296675 non-null  object        \n",
            " 9   city                   1296675 non-null  object        \n",
            " 10  state                  1296675 non-null  object        \n",
            " 11  zip                    1296675 non-null  int64         \n",
            " 12  lat                    1296675 non-null  float64       \n",
            " 13  long                   1296675 non-null  float64       \n",
            " 14  city_pop               1296675 non-null  int64         \n",
            " 15  job                    1296675 non-null  object        \n",
            " 16  dob                    1296675 non-null  object        \n",
            " 17  trans_num              1296675 non-null  object        \n",
            " 18  unix_time              1296675 non-null  int64         \n",
            " 19  merch_lat              1296675 non-null  float64       \n",
            " 20  merch_long             1296675 non-null  float64       \n",
            " 21  is_fraud               1296675 non-null  int64         \n",
            " 22  Dates                  1296675 non-null  object        \n",
            " 23  Time                   1296675 non-null  datetime64[ns]\n",
            " 24  Hour                   1296675 non-null  int32         \n",
            " 25  HourBin                1296675 non-null  category      \n",
            "dtypes: category(1), datetime64[ns](1), float64(5), int32(1), int64(5), object(13)\n",
            "memory usage: 243.6+ MB\n"
          ]
        }
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              "<div>\n",
              "<style scoped>\n",
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              "<table border=\"1\" class=\"dataframe\">\n",
              "  <thead>\n",
              "    <tr style=\"text-align: right;\">\n",
              "      <th></th>\n",
              "      <th>trans_date_trans_time</th>\n",
              "      <th>cc_num</th>\n",
              "      <th>merchant</th>\n",
              "      <th>category</th>\n",
              "      <th>amt</th>\n",
              "      <th>first</th>\n",
              "      <th>last</th>\n",
              "      <th>gender</th>\n",
              "      <th>street</th>\n",
              "      <th>city</th>\n",
              "      <th>...</th>\n",
              "      <th>dob</th>\n",
              "      <th>trans_num</th>\n",
              "      <th>unix_time</th>\n",
              "      <th>merch_lat</th>\n",
              "      <th>merch_long</th>\n",
              "      <th>is_fraud</th>\n",
              "      <th>Dates</th>\n",
              "      <th>Time</th>\n",
              "      <th>Hour</th>\n",
              "      <th>HourBin</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>0</th>\n",
              "      <td>2019-01-01 00:00:18</td>\n",
              "      <td>2703186189652095</td>\n",
              "      <td>fraud_Rippin, Kub and Mann</td>\n",
              "      <td>misc_net</td>\n",
              "      <td>4.97</td>\n",
              "      <td>Jennifer</td>\n",
              "      <td>Banks</td>\n",
              "      <td>F</td>\n",
              "      <td>561 Perry Cove</td>\n",
              "      <td>Moravian Falls</td>\n",
              "      <td>...</td>\n",
              "      <td>1988-03-09</td>\n",
              "      <td>0b242abb623afc578575680df30655b9</td>\n",
              "      <td>1325376018</td>\n",
              "      <td>36.011293</td>\n",
              "      <td>-82.048315</td>\n",
              "      <td>0</td>\n",
              "      <td>2019-01-01</td>\n",
              "      <td>2019-01-01 00:00:18</td>\n",
              "      <td>0</td>\n",
              "      <td>[0, 120)</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1</th>\n",
              "      <td>2019-01-01 00:00:44</td>\n",
              "      <td>630423337322</td>\n",
              "      <td>fraud_Heller, Gutmann and Zieme</td>\n",
              "      <td>grocery_pos</td>\n",
              "      <td>107.23</td>\n",
              "      <td>Stephanie</td>\n",
              "      <td>Gill</td>\n",
              "      <td>F</td>\n",
              "      <td>43039 Riley Greens Suite 393</td>\n",
              "      <td>Orient</td>\n",
              "      <td>...</td>\n",
              "      <td>1978-06-21</td>\n",
              "      <td>1f76529f8574734946361c461b024d99</td>\n",
              "      <td>1325376044</td>\n",
              "      <td>49.159047</td>\n",
              "      <td>-118.186462</td>\n",
              "      <td>0</td>\n",
              "      <td>2019-01-01</td>\n",
              "      <td>2019-01-01 00:00:44</td>\n",
              "      <td>0</td>\n",
              "      <td>[0, 120)</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2</th>\n",
              "      <td>2019-01-01 00:00:51</td>\n",
              "      <td>38859492057661</td>\n",
              "      <td>fraud_Lind-Buckridge</td>\n",
              "      <td>entertainment</td>\n",
              "      <td>220.11</td>\n",
              "      <td>Edward</td>\n",
              "      <td>Sanchez</td>\n",
              "      <td>M</td>\n",
              "      <td>594 White Dale Suite 530</td>\n",
              "      <td>Malad City</td>\n",
              "      <td>...</td>\n",
              "      <td>1962-01-19</td>\n",
              "      <td>a1a22d70485983eac12b5b88dad1cf95</td>\n",
              "      <td>1325376051</td>\n",
              "      <td>43.150704</td>\n",
              "      <td>-112.154481</td>\n",
              "      <td>0</td>\n",
              "      <td>2019-01-01</td>\n",
              "      <td>2019-01-01 00:00:51</td>\n",
              "      <td>0</td>\n",
              "      <td>[0, 120)</td>\n",
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              "  trans_date_trans_time            cc_num                         merchant  \\\n",
              "0   2019-01-01 00:00:18  2703186189652095       fraud_Rippin, Kub and Mann   \n",
              "1   2019-01-01 00:00:44      630423337322  fraud_Heller, Gutmann and Zieme   \n",
              "2   2019-01-01 00:00:51    38859492057661             fraud_Lind-Buckridge   \n",
              "\n",
              "        category     amt      first     last gender  \\\n",
              "0       misc_net    4.97   Jennifer    Banks      F   \n",
              "1    grocery_pos  107.23  Stephanie     Gill      F   \n",
              "2  entertainment  220.11     Edward  Sanchez      M   \n",
              "\n",
              "                         street            city  ...         dob  \\\n",
              "0                561 Perry Cove  Moravian Falls  ...  1988-03-09   \n",
              "1  43039 Riley Greens Suite 393          Orient  ...  1978-06-21   \n",
              "2      594 White Dale Suite 530      Malad City  ...  1962-01-19   \n",
              "\n",
              "                          trans_num   unix_time  merch_lat  merch_long  \\\n",
              "0  0b242abb623afc578575680df30655b9  1325376018  36.011293  -82.048315   \n",
              "1  1f76529f8574734946361c461b024d99  1325376044  49.159047 -118.186462   \n",
              "2  a1a22d70485983eac12b5b88dad1cf95  1325376051  43.150704 -112.154481   \n",
              "\n",
              "  is_fraud       Dates                Time  Hour   HourBin  \n",
              "0        0  2019-01-01 2019-01-01 00:00:18     0  [0, 120)  \n",
              "1        0  2019-01-01 2019-01-01 00:00:44     0  [0, 120)  \n",
              "2        0  2019-01-01 2019-01-01 00:00:51     0  [0, 120)  \n",
              "\n",
              "[3 rows x 26 columns]"
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      ],
      "source": [
        "df.head(3)"
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    },
    {
      "cell_type": "markdown",
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      "source": [
        "### ```Boxplot for Each Variable in Numerical List```\n",
        "\n",
        "In this section, we define a function `boxplots_visual` to create boxplots for each variable in a numerical list. The function takes two parameters: `data` (the DataFrame containing the numerical variables) and `column` (the list of numerical column names).\n"
      ]
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      "source": [
        "numerical = list(df.select_dtypes(include=['int64', 'float64']).columns)"
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            "text/plain": [
              "<Figure size 1800x600 with 10 Axes>"
            ]
          },
          "metadata": {},
          "output_type": "display_data"
        }
      ],
      "source": [
        "# Boxplot for each variable in numerical list\n",
        "\n",
        "def boxplots_visual(data,column):\n",
        "    fig, ax = plt.subplots(5,2,figsize=(18,6))\n",
        "    fig.suptitle('Boxplot for each variable',y=1, size=20)\n",
        "    ax=ax.flatten()\n",
        "    for i,feature in enumerate(column):\n",
        "        sns.boxplot(data=data[feature],ax=ax[i], orient='h')\n",
        "        ax[i].set_title(feature+ ', skewness is: '+str(round(data[feature].skew(axis = 0, skipna = True),2)),fontsize=15)\n",
        "        ax[i].set_xlim([min(data[feature]), max(data[feature])])\n",
        "boxplots_visual(data=df,column=numerical)\n",
        "plt.tight_layout()"
      ]
    },
    {
      "cell_type": "markdown",
      "id": "e02756aa-a00c-45e3-8cbc-f065e496c750",
      "metadata": {
        "id": "e02756aa-a00c-45e3-8cbc-f065e496c750",
        "noteable": {
          "cell_type": "markdown"
        }
      },
      "source": [
        "### ```Visualizing Time Data Distribution in Bins```\n",
        "\n",
        "The following Python code snippet creates a bar plot to visualize the distribution of time data in bins:\n"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 79,
      "id": "d87e5109",
      "metadata": {
        "ExecuteTime": {
          "end_time": "2023-11-15T14:33:01.620424+00:00",
          "start_time": "2023-11-15T14:32:42.726202+00:00"
        },
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 640
        },
        "id": "d87e5109",
        "noteable": {
          "output_collection_id": "3d5c5571-0968-475e-9d09-90c62d417574"
        },
        "outputId": "cb331206-a4e4-489a-b3c7-98aa0c8f83c7"
      },
      "outputs": [
        {
          "data": {
            "image/png": 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",
            "text/plain": [
              "<Figure size 1200x600 with 1 Axes>"
            ]
          },
          "metadata": {},
          "output_type": "display_data"
        }
      ],
      "source": [
        "# Create a bar plot of the time data with bins\n",
        "plt.figure(figsize=(12, 6))\n",
        "df['HourBin'].value_counts(sort=False).plot(kind='bar', edgecolor='black')\n",
        "plt.title('Distribution of Time Data in Bins')\n",
        "plt.xlabel('Time Bin (2-hour intervals)')\n",
        "plt.ylabel('Frequency')\n",
        "plt.show()\n"
      ]
    },
    {
      "cell_type": "markdown",
      "id": "ef19b238-86e7-4af7-b26f-bec3d8f77b11",
      "metadata": {
        "id": "ef19b238-86e7-4af7-b26f-bec3d8f77b11",
        "noteable": {
          "cell_type": "markdown"
        }
      },
      "source": [
        "### ```Histogram of Time Data Distribution```\n",
        "\n",
        "The following Python code snippet generates a histogram to illustrate the distribution of time data:\n"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 80,
      "id": "59b6db67",
      "metadata": {
        "ExecuteTime": {
          "end_time": "2023-11-15T14:33:03.530825+00:00",
          "start_time": "2023-11-15T14:33:01.385584+00:00"
        },
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 564
        },
        "id": "59b6db67",
        "jupyter": {
          "outputs_hidden": false
        },
        "noteable": {
          "output_collection_id": "49e9a694-5f3b-49f5-bf36-d1c9a63e1fc0"
        },
        "outputId": "23c72882-2bbf-47f1-dfcc-3f74f968f26d"
      },
      "outputs": [
        {
          "data": {
            "image/png": 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",
            "text/plain": [
              "<Figure size 1000x600 with 1 Axes>"
            ]
          },
          "metadata": {},
          "output_type": "display_data"
        }
      ],
      "source": [
        "# Create a histogram of the time data\n",
        "plt.figure(figsize=(10, 6))\n",
        "plt.hist(df['Dates'], bins=50, edgecolor='black')\n",
        "plt.title('Distribution of Time Data')\n",
        "plt.xlabel('Time')\n",
        "plt.ylabel('Frequency')\n",
        "plt.show()"
      ]
    },
    {
      "cell_type": "markdown",
      "id": "e0fc02ad",
      "metadata": {
        "id": "e0fc02ad"
      },
      "source": [
        "### ```Histogram of Fraudulent Transactions by Date```\n",
        "\n",
        "The following Python code snippet filters the DataFrame for fraudulent transactions and creates a histogram to visualize their distribution over specific dates:\n"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 81,
      "id": "22ee3e92",
      "metadata": {
        "ExecuteTime": {
          "end_time": "2023-11-15T14:33:04.013844+00:00",
          "start_time": "2023-11-15T14:33:01.833796+00:00"
        },
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 564
        },
        "id": "22ee3e92",
        "noteable": {
          "output_collection_id": "b651931c-6f69-4851-aedb-68cbaeea2c22"
        },
        "outputId": "dd716d09-68cf-4298-ca0c-74ab35272fbd"
      },
      "outputs": [
        {
          "data": {
            "image/png": 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",
            "text/plain": [
              "<Figure size 1200x600 with 1 Axes>"
            ]
          },
          "metadata": {},
          "output_type": "display_data"
        }
      ],
      "source": [
        "# Filter the DataFrame for fraudulent transactions\n",
        "fraudulent_df = df[df['is_fraud'] == 1]\n",
        "\n",
        "# Create a histogram of fraudulent transactions with respect to specific dates\n",
        "plt.figure(figsize=(12, 6))\n",
        "plt.hist(fraudulent_df['Dates'], bins=50, edgecolor='black')\n",
        "plt.title('Distribution of Fraudulent Transactions by Date')\n",
        "plt.xlabel('Date')\n",
        "plt.ylabel('Frequency')\n",
        "plt.show()"
      ]
    },
    {
      "cell_type": "markdown",
      "id": "6eae317c",
      "metadata": {
        "id": "6eae317c"
      },
      "source": [
        "### ```Bar Plot of Time Data in Bins, Differentiating by Fraud Status```\n",
        "\n",
        "The following Python code snippet creates a bar plot to compare the distribution of time data in bins, differentiating by fraud status:\n"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 82,
      "id": "507b73bd-a42b-4042-8804-486bd13880e1",
      "metadata": {
        "ExecuteTime": {
          "end_time": "2023-11-15T14:33:04.782402+00:00",
          "start_time": "2023-11-15T14:33:04.255982+00:00"
        },
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 564
        },
        "id": "507b73bd-a42b-4042-8804-486bd13880e1",
        "noteable": {
          "cell_type": "python",
          "output_collection_id": "c0737818-10d1-4aff-af1c-cd936209a404"
        },
        "outputId": "74df770f-b521-46bf-ec98-e63797ee8d16"
      },
      "outputs": [
        {
          "data": {
            "image/png": 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",
            "text/plain": [
              "<Figure size 1500x600 with 1 Axes>"
            ]
          },
          "metadata": {},
          "output_type": "display_data"
        }
      ],
      "source": [
        "# Create a bar plot of the time data with bins, differentiating by fraud status\n",
        "plt.figure(figsize=(15, 6))\n",
        "sns.countplot(x='HourBin', hue='is_fraud', data=df, edgecolor='black')\n",
        "plt.title('Distribution of Time Data in Bins by Fraud Status')\n",
        "plt.xlabel('Time Bin (2-hour intervals)')\n",
        "plt.ylabel('Frequency')\n",
        "plt.legend(title='Fraud Status')\n",
        "plt.show()"
      ]
    },
    {
      "cell_type": "markdown",
      "id": "0a5d88a8",
      "metadata": {
        "id": "0a5d88a8"
      },
      "source": [
        "### ```Fraud Distribution by Gender```\n",
        "\n",
        "In this analysis, we are visualizing the distribution of frauds based on gender. The bar chart provides insights into the percentage of frauds attributed to each gender.\n"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 83,
      "id": "8373fc9e",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "8373fc9e",
        "noteable": {
          "output_collection_id": "3fd7b8b3-8093-472f-9038-fa7da225106f"
        },
        "outputId": "30d072f5-f7af-41c6-9702-d898357cf87b"
      },
      "outputs": [
        {
          "data": {
            "text/plain": [
              "gender\n",
              "F    0.547449\n",
              "M    0.452551\n",
              "Name: proportion, dtype: float64"
            ]
          },
          "execution_count": 83,
          "metadata": {},
          "output_type": "execute_result"
        }
      ],
      "source": [
        "df[\"gender\"].value_counts(normalize=True)"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 84,
      "id": "45ed380f",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 718
        },
        "id": "45ed380f",
        "noteable": {
          "output_collection_id": "de5acd9d-4738-49fd-ab52-b660b039c0b2"
        },
        "outputId": "493be1f4-d7e5-4749-e91b-2dc42e92919e"
      },
      "outputs": [
        {
          "data": {
            "image/png": 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",
            "text/plain": [
              "<Figure size 1000x800 with 1 Axes>"
            ]
          },
          "metadata": {},
          "output_type": "display_data"
        }
      ],
      "source": [
        "gender_fraud_counts = df[df['is_fraud'] == 1]['gender'].value_counts(normalize=True)\n",
        "\n",
        "# Plotting the bar chart\n",
        "plt.figure(figsize=(10, 8))\n",
        "ax = sns.barplot(x=gender_fraud_counts.index, y=gender_fraud_counts.values, color='coral')\n",
        "\n",
        "# Annotate the bars with count and percentage\n",
        "for p, label in zip(ax.patches, gender_fraud_counts):\n",
        "    ax.annotate(f'{label:.2%}\\n({int(label * len(df[df[\"is_fraud\"] == 1]))})',\n",
        "                (p.get_x() + p.get_width() / 2., p.get_height()),\n",
        "                ha='center', va='center', fontsize=10, color='black', xytext=(0, 10), textcoords='offset points')\n",
        "\n",
        "plt.title('Fraud Distribution by Gender')\n",
        "plt.xlabel('Gender')\n",
        "plt.ylabel('Fraud Percentage')\n",
        "plt.show()"
      ]
    },
    {
      "cell_type": "markdown",
      "id": "15f1de10",
      "metadata": {
        "id": "15f1de10"
      },
      "source": [
        "It is observed that the proportion between genders committing fraud is very similar, which makes this factor likely not predominant."
      ]
    },
    {
      "cell_type": "markdown",
      "id": "b8b6303d-9e3f-4f3b-bc35-4d3d441db33c",
      "metadata": {
        "id": "b8b6303d-9e3f-4f3b-bc35-4d3d441db33c",
        "noteable": {
          "cell_type": "markdown"
        }
      },
      "source": [
        "### ```Transaction Amount Distribution```\n",
        "\n",
        "**Transaction Amount Distribution**\n",
        "\n",
        "- The plot displays the distribution of transaction amounts (`'amt'`).\n",
        "- The x-axis represents the transaction amount values, and the y-axis represents the density of transactions at each amount.\n",
        "- The distribution is right-skewed, indicating that the majority of transactions have lower amounts, with a long tail extending to higher amounts.\n",
        "\n"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 85,
      "id": "3115bf3d",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 451
        },
        "id": "3115bf3d",
        "noteable": {
          "output_collection_id": "ff30979e-769d-4f1d-a413-85cd6b8eeaea"
        },
        "outputId": "05499336-fa00-45d8-86aa-1cbe2c68fd00"
      },
      "outputs": [
        {
          "data": {
            "image/png": 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",
            "text/plain": [
              "<Figure size 640x480 with 1 Axes>"
            ]
          },
          "metadata": {},
          "output_type": "display_data"
        }
      ],
      "source": [
        "amount_fraud = df[df['is_fraud'] == 1]\n",
        "plt.hist(amount_fraud[\"amt\"], edgecolor=\"black\", bins=50)\n",
        "plt.xticks(rotation=45)\n",
        "plt.show()"
      ]
    },
    {
      "cell_type": "markdown",
      "id": "3ef023b4",
      "metadata": {
        "id": "3ef023b4"
      },
      "source": [
        "### ```Transaction Time Distribution```\n",
        "\n",
        "**Transaction Time Distribution**\n",
        "\n",
        "- The plot visualizes the distribution of transaction times (`'Hour'`).\n",
        "- The x-axis represents the transaction times, and the y-axis represents the density of transactions at each time.\n",
        "- The distribution illustrates how transactions are spread throughout the day.\n",
        "- The pattern may reveal insights into peak transaction times or potential anomalies during specific hours.\n",
        "\n",
        "These visualizations provide an initial understanding of the dataset's characteristics, aiding in further exploratory data analysis and feature engineering."
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 86,
      "id": "a9cfa4e0",
      "metadata": {
        "ExecuteTime": {
          "end_time": "2023-11-15T14:33:18.660863+00:00",
          "start_time": "2023-11-15T14:33:05.039172+00:00"
        },
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 563
        },
        "id": "a9cfa4e0",
        "noteable": {
          "output_collection_id": "8a228ed0-d841-4bc5-83de-7a6a68c84e5b"
        },
        "outputId": "99f32d7f-bc1d-4adc-db86-483dbe3e1027"
      },
      "outputs": [
        {
          "name": "stderr",
          "output_type": "stream",
          "text": [
            "C:\\Users\\Dev\\AppData\\Local\\Temp\\ipykernel_20304\\1765529785.py:5: UserWarning: \n",
            "\n",
            "`distplot` is a deprecated function and will be removed in seaborn v0.14.0.\n",
            "\n",
            "Please adapt your code to use either `displot` (a figure-level function with\n",
            "similar flexibility) or `histplot` (an axes-level function for histograms).\n",
            "\n",
            "For a guide to updating your code to use the new functions, please see\n",
            "https://gist.github.com/mwaskom/de44147ed2974457ad6372750bbe5751\n",
            "\n",
            "  sns.distplot(time_val, ax=ax, color='b')\n"
          ]
        },
        {
          "data": {
            "image/png": 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            "text/plain": [
              "<Figure size 1800x400 with 1 Axes>"
            ]
          },
          "metadata": {},
          "output_type": "display_data"
        }
      ],
      "source": [
        "fig, ax = plt.subplots(1, 1, figsize=(18,4))\n",
        "\n",
        "time_val = df['Hour'].values\n",
        "\n",
        "sns.distplot(time_val, ax=ax, color='b')\n",
        "ax.set_title('Distribution of Transaction Time', fontsize=14)\n",
        "ax.set_xlim([min(time_val), max(time_val)])\n",
        "\n",
        "plt.show()"
      ]
    },
    {
      "cell_type": "markdown",
      "id": "c4b20168",
      "metadata": {
        "id": "c4b20168"
      },
      "source": [
        "### ```Fraud Distribution by Category```\n",
        "\n",
        "We are visualizing the distribution of frauds based on category."
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 87,
      "id": "9408401b",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 496
        },
        "id": "9408401b",
        "noteable": {
          "output_collection_id": "bcf7a894-83ff-49ae-b4d9-a8d3cbdbd5dc"
        },
        "outputId": "9faa7d25-142c-4040-8fe0-d93d20a76be0"
      },
      "outputs": [
        {
          "data": {
            "image/png": 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",
            "text/plain": [
              "<Figure size 640x480 with 1 Axes>"
            ]
          },
          "metadata": {},
          "output_type": "display_data"
        }
      ],
      "source": [
        "category_fraud = df[df['is_fraud'] == 1]\n",
        "plt.hist(category_fraud[\"category\"], edgecolor=\"black\")\n",
        "plt.xticks(rotation=45)\n",
        "plt.show()"
      ]
    },
    {
      "cell_type": "markdown",
      "id": "d4057ea4",
      "metadata": {},
      "source": [
        "We are visualizing the distribution of frauds based on state."
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 88,
      "id": "611e3da8",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 535
        },
        "id": "611e3da8",
        "noteable": {
          "output_collection_id": "b35cc017-e5d1-4c52-b4ce-f1428a9a3305"
        },
        "outputId": "0d2e8af2-29a8-4915-8802-13ebc7b21761"
      },
      "outputs": [
        {
          "data": {
            "image/png": 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",
            "text/plain": [
              "<Figure size 1500x600 with 1 Axes>"
            ]
          },
          "metadata": {},
          "output_type": "display_data"
        }
      ],
      "source": [
        "category_fraud = df[df['is_fraud'] == 1]\n",
        "plt.figure(figsize=(15, 6))\n",
        "plt.hist(category_fraud[\"state\"], edgecolor=\"black\", bins=100)\n",
        "plt.xticks(rotation=45)\n",
        "plt.show()"
      ]
    },
    {
      "cell_type": "markdown",
      "id": "680a4c5a",
      "metadata": {},
      "source": [
        "Below Visualization shows Merchant and General Locations on World Map"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 89,
      "id": "cc89e8de",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 698
        },
        "id": "cc89e8de",
        "noteable": {
          "output_collection_id": "3de1c66e-74de-4a35-837b-63a4d054c77b"
        },
        "outputId": "40abff09-93f7-4c08-f952-a139b6bfdba4"
      },
      "outputs": [
        {
          "name": "stderr",
          "output_type": "stream",
          "text": [
            "C:\\Users\\Dev\\AppData\\Local\\Temp\\ipykernel_20304\\580423369.py:1: FutureWarning: The geopandas.dataset module is deprecated and will be removed in GeoPandas 1.0. You can get the original 'naturalearth_lowres' data from https://www.naturalearthdata.com/downloads/110m-cultural-vectors/.\n",
            "  world = gpd.read_file(gpd.datasets.get_path('naturalearth_lowres'))\n"
          ]
        },
        {
          "data": {
            "image/png": 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lZ11ZlnH55ZdP+96pnHDCCfB4PHjooYfAGMNDDz2Uc/5NpZJzqrm5Oeda63A48MlPfhKvvvoqBgcHK24rQRAEsXyh9EmCIAhiSeL1enHcccfhwQcfRDQaRSaTwUc/+tGC6+7cuROBQAA+n6/g68PDwznPV6xYkbfO7t27ceaZZ5bVtvb29pznbrcbAHJ8rrq7u3H99dfj8ccfz/O/mjpA5L5PU7c59X2VwH2l7rzzTnR1deV4NRVKCZvuM+3btw/ApO9XNqqqYuXKldO2x263A0COKTkwKRxw0eM73/lOTsW+Sr/XqZ+Bf47s47hz50688cYbece72DYLnSsA8JOf/ATf/e538fbbbyOVSk27/mzZt28f1qxZk2dsv27dOvE6MHkeNzc3w+PxlNze9u3bccMNN+BPf/oTotFozmuBQKAsoXNq+wBgv/32y3tt//33z6vSWM45f+mll+LnP/85Tj75ZLS0tOCEE07A2WefjZNOOmnatjQ3N4tzjjP1WHHKOW+KceSRR+KXv/wlXnvtNaiqikAggCOOOAIAcPjhh6O/vx979+5FV1cX0um0EMUqPV6KoqC1tXXa9uzbtw9NTU154nOh/UyHqqo466yz8OCDD+L9738/enp6ik5MAJWdU6tXr86bbFi7di2AST+/ahZTIQiCIJY2JIoRBEEQS5aPf/zj+PSnP43BwUGcfPLJOR472ei6Dp/Ph5/+9KcFX586+M6OaJgJhUymAQgT70wmg+OPPx7j4+P40pe+hP333x9WqxV9fX04//zzcwzdS21vNnzzm9/EddddhwsvvBBf//rX4fF4YDAYcMUVV+Ttv5zPNFv2339/AMDf/vY3HHTQQWI5Fz8B4IEHHsh5T6XfazmfQdd1HH/88bj22msLrssH5pxC58oDDzyA888/H6effjquueYa+Hw+yLKMLVu2YPfu3QW3u5DYvXs3jj32WOy///647bbb0NbWBqPRiF//+tf43ve+V/D8qDblnPM+nw+vvfYann76aTz11FN46qmnsG3bNnzyk58sWGCg2m0p59zP9hUzGo3weDziXD/44INhsVjw4osvoqurK2f9SsmO/JxLPv7xj+Puu+/GjTfeiIMOOgjr168vuN5COKcIgiCI5QmJYgRBEMSS5YwzzsDFF1+Ml156CT/72c+Krrdq1So8++yzOOKII2YseK1atQp/+9vfZtrUHN588028++67+MlPfoJPfvKTYnmlaWDZTI2qmI5HHnkERx99NH70ox/lLPf7/TlFA8qFpzXu3LkTxxxzjFieSqXQ1dWVI3QV4uSTT4Ysy/jpT39asnJeNtX4XgttMxwOCyFuJjzyyCNYuXIlHn300ZzvpVDKYrXo6OjAG2+8AV3Xc8SRt99+W7wOTH6+p59+GuPj40WjxX71q18hkUjg8ccfz4mSKlQ9s9zzju//nXfeyTk/+LLstNhKMBqN2LRpEzZt2gRd13HppZfinnvuwXXXXYfVq1cXbcuzzz6LUCiUEy029VhVg/e+971C+NI0DYcddpg4Zoqi4H3vex+2b9+Orq4u+Hw+IbrW6nh1dHTgueeeQzgczokWe+edd2a0vSOPPBLt7e144YUXRLGDQlRyTgGTRTEYYznn17vvvgtgstAKQRAEQZQLeYoRBEEQSxabzYa77roLN954IzZt2lR0vbPPPhuZTAZf//rX815Lp9Pw+/3T7uvMM8/E66+/jl/+8pd5r1UaLcUjT7LfxxjD7bffXtF2suHV5sr5LLwNU9v98MMPo6+vb0b7P/TQQ+H1enH33XcjmUyK5ffdd19ZbWpvb8eFF16Ip556Cj/4wQ8KrjO1vdX4Xqdy9tln409/+hOefvrpvNf8fj/S6fS02yj0/b788sv405/+VHF7yuWUU07B4OBgjjicTqdxxx13wGaz4aijjgIweR4zxvC1r30tbxu8vYXaHwgEsG3btrz3WK3Wso7zoYceCp/Ph7vvvhuJREIsf+qpp7Bjxw6ceuqp5X3QLMbGxnKeGwwGUXE1ex9TOeWUU5DJZPLOs+9973uQJElUtK0GiqLgX/7lX7B9+3Zs375d+IlxDj/8cPz+97/HSy+9JNIqgdocL2Dys6fTadx1111iWSaTwR133DGj7UmShO9///u44YYbcN555xVdr5JzCgD6+/tzrrXBYBD3338/Dj74YEqdJAiCICqCIsUIgiCIJc3mzZunXeeoo47CxRdfjC1btuC1117DCSecAFVVsXPnTjz88MO4/fbbi/qRca655ho88sgjOOuss3DhhRdi48aNGB8fx+OPP46777572kiobPbff3+sWrUKV199Nfr6+uBwOPCLX/xiVh5hZrMZ69evx89+9jOsXbsWHo8H73nPe/Ce97yn4Pof/vCHcdNNN+GCCy7A4YcfjjfffBM//elPy/L/KoSqqvjGN76Biy++GMcccww+9rGPoaurC9u2bSt7m1u3bkVXVxcuv/xyPPTQQ9i0aRN8Ph9GR0exfft2/OpXv8rxPqrG9zqVa665Bo8//jg+/OEP4/zzz8fGjRsRiUTw5ptv4pFHHsHevXunjaT78Ic/jEcffRRnnHEGTj31VHR1deHuu+/G+vXr8zzTKuG5555DPB7PW3766afjM5/5DO655x6cf/75+Otf/4rOzk488sgj2L59O7Zu3Soioo4++micd955+P73v4+dO3fipJNOgq7r+MMf/oCjjz4al112GU444QQRgXXxxRcjHA7jP//zP+Hz+TAwMJCz740bN+Kuu+7CN77xDaxevRo+ny8vsgmYPD9uueUWXHDBBTjqqKNwzjnnYGhoCLfffjs6Oztx5ZVXVnw8PvWpT2F8fBzHHHMMWltbsW/fPtxxxx04+OCDhT9YITZt2oSjjz4aX/3qV7F3714cdNBB+O1vf4v/+Z//wRVXXJFjql8NjjzySBERlS18AZOi2JYtW8R6nFocL2Dysx9xxBH48pe/jL1792L9+vV49NFHZ1Q8gXPaaafhtNNOK7lOJecUMJmmfNFFF+GVV15BQ0MDfvzjH2NoaKioiEYQBEEQRZnrcpcEQRAEUSu2bdvGALBXXnml5HodHR3s1FNPzVt+7733so0bNzKz2czsdjvbsGEDu/baa1l/f/+072WMsbGxMXbZZZexlpYWZjQaWWtrK9u8eTMbHR1ljDH2/PPPMwDs4YcfznlfV1cXA8C2bdsmlr311lvsuOOOYzabjdXX17NPf/rT7PXXX89bb/Pmzcxqtea15YYbbmBTb/N//OMf2caNG5nRaGQA2A033FD0GMXjcXbVVVexpqYmZjab2RFHHMH+9Kc/saOOOoodddRRYr1KPhNjjN15551sxYoVTNM0duihh7Lf//73edssRTqdZtu2bWPHHHMM83g8TFEUVl9fz4499lh29913s1gslvee2XyvhdoWCoXYV77yFbZ69WpmNBpZfX09O/zww9mtt97Kkslkzuf/zne+k7dNXdfZN7/5TdbR0cE0TWOHHHIIe+KJJ9jmzZtZR0dHzrrTfU/Z+yr2+K//+i/GGGNDQ0PsggsuYPX19cxoNLINGzbkfT/8GH/nO99h+++/PzMajczr9bKTTz6Z/fWvfxXrPP744+zAAw9kJpOJdXZ2sltuuYX9+Mc/ZgBYV1eXWG9wcJCdeuqpzG63MwDiWPLz5vnnn8/Z989+9jN2yCGHME3TmMfjYeeeey7r7e3NWafcc/6RRx5hJ5xwAvP5fMxoNLL29nZ28cUXs4GBgZLHk7HJ7/jKK69kzc3NTFVVtmbNGvad73yH6bqesx4A9rnPfS7v/R0dHWzz5s3T7ocxxp5++mkGgCmKwiKRSM5rY2NjTJIkBoC9/PLLee+dzfHir00958bGxth5553HHA4Hczqd7LzzzmOvvvpqwd/zVIpdD6Zy1FFHsQMOOCBnWbnnFP+tPv300+zAAw9kmqax/ffff9p9EgRBEEQhJMaq5IBLEARBEARBEARRQzo7O/Ge97wHTzzxxHw3hSAIglgCkKcYQRAEQRAEQRAEQRAEsewgUYwgCIIgCIIgCIIgCIJYdpAoRhAEQRAEQRAEQRAEQSw7yFOMIAiCIAiCIAiCIAiCWHZQpBhBEARBEARBEARBEASx7CBRjCAIgiAIgiAIgiAIglh2KPPdgNmi6zr6+/tht9shSdJ8N4cgCIIgCIIgCIIgCIKYJxhjCIVCaG5uhsFQOhZs0Yti/f39aGtrm+9mEARBEARBEARBEARBEAuEnp4etLa2llxn0YtidrsdwOSHdTgc89wagiAIgiAIgiAIgiAIYr4IBoNoa2sTelEpFr0oxlMmHQ4HiWIEQRAEQRAEQRAEQRBEWRZbZLRPEARBEARBEARBEARBLDtIFCMIgiAIgiAIgiAIgiCWHYs+fZIgCIIgCIIgCIIgiMJkMhmkUqn5bgZBVBWj0ThtZclyIFGMIAiCIAiCIAiCIJYYjDEMDg7C7/fPd1MIouoYDAasWLECRqNxVtshUYwgCIIgCIIgCIIglhhcEPP5fLBYLGWZjhPEYkDXdfT392NgYADt7e2zOrdJFCMIgiAIgiAIgiCIJUQmkxGCWF1d3Xw3hyCqjtfrRX9/P9LpNFRVnfF2yGifIAiCIAiCIAiCIJYQ3EPMYrHMc0sIojbwtMlMJjOr7ZAoRhAEQRAEQRAEQRBLEEqZJJYq1Tq3SRQjCIIgCIIgCIIgCIIglh0kihEEQRAEQRAEQRAEQRDLDhLFCIIgCIIgCIIgCIIgAOzduxeSJOG1116b76YsaO677z64XK75bsasIVGMIAiCIAiCIAiCIIh55/zzz4ckSbjkkkvyXvvc5z4HSZJw/vnnz33DaoQkSXjssceqtl6t6OzsxNatW3OWfexjH8O77747Pw2qIiSKEQRBEARBEARBEASxIGhra8NDDz2EWCwmlsXjcTz44INob2+f1bYZY0in07NtIgHAbDbD5/PNdzNmDYliBEEQBEEQBEEQBEEUpqsLeOmlyb9zwHvf+160tbXh0UcfFcseffRRtLe345BDDslZV9d1bNmyBStWrIDZbMZBBx2ERx55RLz+wgsvQJIkPPXUU9i4cSM0TcOLL74IXdfx7W9/G6tXr4amaWhvb8fNN9+cs+09e/bg6KOPhsViwUEHHYQ//elP4rWxsTGcc845aGlpgcViwYYNG/Df//3fOe//0Ic+hM9//vO49tpr4fF40NjYiBtvvFG83tnZCQA444wzIEmSeF4puq7jpptuQmtrKzRNw8EHH4zf/OY3Oev09vbinHPOgcfjgdVqxaGHHoqXX34ZALB7926cdtppaGhogM1mw/ve9z48++yzOZ9j3759uPLKKyFJkqj6WCh98q677sKqVatgNBqx33774b/+679yXpckCT/84Q9xxhlnwGKxYM2aNXj88cfF6xMTEzj33HPh9XphNpuxZs0abNu2bUbHpVxIFCMIgiAIgiAIgiAIIp9f/AK4/HLg2msn//7iF3Oy2wsvvDBHDPnxj3+MCy64IG+9LVu24P7778fdd9+Nv//977jyyivxiU98Ar/73e9y1vvyl7+Mb33rW9ixYwcOPPBAfOUrX8G3vvUtXHfddXjrrbfw4IMPoqGhIec9X/3qV3H11Vfjtddew9q1a3HOOeeIKLN4PI6NGzfiySefxN/+9jd85jOfwXnnnYc///nPOdv4yU9+AqvVipdffhnf/va3cdNNN+GZZ54BALzyyisAgG3btmFgYEA8r5Tbb78d3/3ud3HrrbfijTfewIknnoiPfOQj2LlzJwAgHA7jqKOOQl9fHx5//HG8/vrruPbaa6Hrunj9lFNOwXPPPYdXX30VJ510EjZt2oTu7m4Ak4Jka2srbrrpJgwMDGBgYKBgO375y1/iC1/4Aq666ir87W9/w8UXX4wLLrgAzz//fM56X/va13D22WfjjTfewCmnnIJzzz0X4+PjACC+j6eeego7duzAXXfdhfr6+hkdl7Jhi5xAIMAAsEAgMN9NIQiCIAiCIAiCIIh5JxaLsbfeeovFYrGZb2TPHsZOPZWxU05h7KKLJv+eeurk8hqxefNmdtppp7Hh4WGmaRrbu3cv27t3LzOZTGxkZISddtppbPPmzYwxxuLxOLNYLOyPf/xjzjYuuugids455zDGGHv++ecZAPbYY4+J14PBINM0jf3nf/5nwTZ0dXUxAOyHP/yhWPb3v/+dAWA7duwo2vZTTz2VXXXVVeL5UUcdxY488sicdd73vvexL33pS+I5APbLX/6y9EGZZr3m5mZ288035+3n0ksvZYwxds899zC73c7Gxsam3Q/ngAMOYHfccYd43tHRwb73ve/lrLNt2zbmdDrF88MPP5x9+tOfzlnnrLPOYqecckrO5/j3f/938TwcDjMA7KmnnmKMMbZp0yZ2wQUXlNXGUud4JToRRYoRBEEQBEEQBEEQBJHL0BAQDAJNTYAsT/4NBieX1xiv14tTTz0V9913H7Zt24ZTTz01L2Jo165diEajOP7442Gz2cTj/vvvx+7du3PWPfTQQ8X/O3bsQCKRwLHHHluyDQceeKD4v6mpCQAwPDwMAMhkMvj617+ODRs2wOPxwGaz4emnnxbRVYW2wbfDt1ENgsEg+vv7ccQRR+QsP+KII7Bjxw4AwGuvvYZDDjkEHo+n4DbC4TCuvvpqrFu3Di6XCzabDTt27Mj7LNOxY8eOku3gZB8Tq9UKh8MhjslnP/tZPPTQQzj44INx7bXX4o9//GNFbZgJSs33QBAEQRAEQRAEQRDE4qKhAXA4gIGBSUFsYGDy+ZQ0w1px4YUX4rLLLgMA/Md//Efe6+FwGADw5JNPoqWlJec1TdNynlutVvG/2Wwua/+qqor/uY8WTzn8zne+g9tvvx1bt27Fhg0bYLVaccUVVyCZTBbdBt8O38ZcMd3nvfrqq/HMM8/g1ltvxerVq2E2m/HRj34077NUi1LH5OSTT8a+ffvw61//Gs888wyOPfZYfO5zn8Ott95ak7YA5ClGEARBEARBEARBEMRUVqwALrgAkCTg3Xcn/1544eTyOeCkk05CMplEKpXCiSeemPf6+vXroWkauru7sXr16pxHW1tb0e2uWbMGZrMZzz333Izbtn37dpx22mn4xCc+gYMOOggrV67Eu+++W/F2VFVFJpOZcTscDgeam5uxffv2vPatX78ewGRk1muvvSZ8u6ayfft2nH/++TjjjDOwYcMGNDY2Yu/evTnrGI3Gadu5bt26ku0oF6/Xi82bN+OBBx7A1q1bce+991b0/kqhSDGCIAiCIAiCIAiCIPI580zgve+dTJlsaJgzQQwAZFkWqXeyLOe9brfbcfXVV+PKK6+Erus48sgjEQgEsH37djgcDmzevLngdk0mE770pS/h2muvhdFoxBFHHIGRkRH8/e9/x0UXXVRW29asWYNHHnkEf/zjH+F2u3HbbbdhaGioYgGos7MTzz33HI444ghomga321103a6uLrz22mt57bjmmmtwww03YNWqVTj44IOxbds2vPbaa/jpT38KADjnnHPwzW9+E6effjq2bNmCpqYmvPrqq2hubsZhhx2GNWvW4NFHH8WmTZsgSRKuu+66vGi2zs5O/P73v8e//du/QdO0gub311xzDc4++2wccsghOO644/CrX/0Kjz76aE4ly+m4/vrrsXHjRhxwwAFIJBJ44oknsG7durLfPxNIFCMIgiAIgiAIgiAIojArVsypGJaNw+Eo+frXv/51eL1ebNmyBXv27IHL5cJ73/te/L//9/9Kvu+6666Doii4/vrr0d/fj6amJlxyySVlt+vf//3fsWfPHpx44omwWCz4zGc+g9NPPx2BQKDsbQDAd7/7XXzxi1/Ef/7nf6KlpSUvQiubL37xi3nL/vCHP+Dzn/88AoEArrrqKgwPD2P9+vV4/PHHsWbNGgCTUV6//e1vcdVVV+GUU05BOp3G+vXrRUrqbbfdhgsvvBCHH3446uvr8aUvfQnBYDBnPzfddBMuvvhirFq1ColEApOe+bmcfvrpuP3223HrrbfiC1/4AlasWIFt27bhQx/6UNnHw2g04itf+Qr27t0Ls9mMD3zgA3jooYfKfv9MkFihT7OICAaDcDqdCAQC0/5gCIIgCIIgCIIgCGKpE4/H0dXVhRUrVsBkMs13cwii6pQ6xyvRiShSjCAIgiCWMZlMBuFwGOFwGOl0GrqugzEmHlOf84ckScJ0ttD/pV4r9b/BYICiKDAajTAajVBVFYqiiNcJgiAIgiAIolqQKEYQBEHkwBhDJpMRAkkmk0EmkxH/83V4oPHUvwaDASaTSVSSmfp+/jdbWJEkCQaDoejzcl8zGAyQZVksWw4wxpBIJBCPxxGPx3NC2rNFJ/43+/9EIoFoNDrj/c4VkiQJgazQX1mWl833TRAEQRAEQVQPEsUIgiCWOIUie6YSjUYxMjIiKvzMdanoWpAtkCmKAk3TYDQaxV+j0biohBTGGNLptBC/uABWzNdhKcGFv0QiUfB1g8GQJ5TZ7fa8cuwEQRAEQRAEkQ2JYgRBEEsMxhiSySQikYh4pNNpAJPigcFggNlshtVqhdVqRSgUwvDw8Dy3uvroui7EvUQigUgkIl6TJAlNTU3weDzz1Tyk02nEYjGk02lomgZN0wpWVuIEg0H09PTMYQvnn6mRboWW8QhBk8kEs9ksHgaDYe4bTBAEQRAEQSwqSBQjCIJY4DDGkEqlkEqlkEwmczyeeGpiOp0Wf3naYyG4UBQKhRAKheb4k8wPRqMRJpMJJpMJmqbBZDLlRYllMhmkUilx7LJTPac+z47KKhahpSgKbDYbbDYbFEVBJpNBLBbLeaRSqYLv4wIZj2bjEW8A4PF4EI/HEYvFFnx0mMFggMPhENFa2Wm2hVJveYokj/ZSVbWkSKjruogeM5vNFBVGEARBEARBVAyJYgRBEAuY0dFRDA4OznczFixc5FIUBYqiQJblnP9VVc2LGAoEAhgdHRVCY63SRf1+PwBAVdWCAlghuKiZHdU2FUVRYDKZckTRhZjuquu6OAYzhX+H/MF90BKJRN4xdTgcaGlpKSqk8aIB2QJyqb/ZHnWFHqqqwmq1LqoUXIIgCIIgCCIXEsUIgiAWMB6PB6qqijTIYp5Kyw1JkmA2m6Eoiojk4iKFqqpF38cYg6Zp6O/vF0UDak25gli5cOFsOcBFv3g8XnI9t9sNr9crBMVkMolkMolEIpEjdFU7us7lcqG5uZlSNQmCIAiCIBYpJIoRBEHMA4wx+P1+jI6OiigfnlbGGIPNZoPH44HVaoXT6YTT6QQw6Y01MjIy6wicxY4kSZBlGRaLBTabDZqm5UTspFIpkabIDelLpZUSixej0YhIJIKJiYma7sdgMIjIxOxUXBLECIJYamQyGUSjUWErMPWvpmmwWq2w2Wwwm80UMUsQxKKGRDGCIIg5IpFIYHR0FMFgcNoopWAwiGAwCE3T4Ha7YTKZRApZa2srfD4fIpGI8JeKx+NLVvBRVTVPiMgWwdLpNMLhcI5f13KJpCKAZDJZ9W0WEr94+iaxcOCRf4W+F15whKe7LsfvjqdY8+hS/uBRk9mRk/X19chkMggEAqK6LY+sNRqNMJvNcLlcJAIvUXRdRzQaRSQSEffTUvCo3OHhYRgMBiGQuVyukl6QBEEQCxESxQiCIGpMJpPB8PAwxsbGKn5vIpHI8xRTFCXHjNzpdKKurg6KokCSpJwHgILLAOSYyCeTSYRCIYTD4QUjKNlsNni9Xlit1rzXkskkxsbGEAgEFkx7icUF9wvL9g1zOp1wOBw08F8gZEd5FnsAyBHLFUVBOBxGOBzOmXxQFAWqqub8LVZ4YynBz3Gj0Sh89UZHR/PuR36/X1QmVlVVpKfz48WLfhBLB8YYQqEQJiYmEA6HZ5xenl28Z3BwEC6XC3V1dTCZTFVuMUEsPjo7O3HFFVfgiiuumO+mVMRibfdMIVGMIAiixgQCgRkJYsUo5iklyzLa29thNpvR09MjqksWEshkWRaDnGg0WpNom5nicDjg9XphNpsLvp5KpTA+Po5UKpXjKUYQpeDFF7IjhxwOB5xO55IVRBYC2dVzLRZLwWPNxa/sFHIuzESjUUxMTJT0leORTaUo5cUnSZJIB/N6vVCUpdE9zr7uZy9zuVwwGo2IRqNCMDMajbBarUvmsxPTw6+BdrsdqVQK8XgcAwMDs/LBZIxhYmICExMTsFgsqKurg8PhoGssUTGDg4PYsmULnnzySfT29sLpdGL16tX4xCc+gc2bN8Niscx3E6vCjTfeiMceewyvvfbavOz/vvvuwxVXXJFny/LKK68UnJReqtCdjyAIosZ4PB6YTCYMDQ2VrCo4WzKZDPbu3YvGxkY0NTVBlmWEQqGCA0HeAZ4PJEkSFSN5tUj+12KxQNO0ku9XVRWNjY05yzKZDJLJpOjUk0hGTCVbFFEUBU1NTTRYqyK6riMYDCKVSolCB8lkMmeAbTKZ4PP5xDFnjCGdTmNgYKBglIokScJX0efziRRWxhhisRj6+/tn3W5JkmC32+FyuWCz2ZZ8NBSPBjObzairq5vv5hALAEmShDBqMpmwd+/eqkyURaNRRKNRKIqC1atXk+BKlM2ePXtwxBFHwOVy4Zvf/CY2bNgATdPw5ptv4t5770VLSws+8pGPzFv7eGr6Uj6nvV7vfDdhTlnad36CIIgSpFIpkZpT7ap0U7FYLFixYgXWrVuHtrY21NXVwePxwOPxoK6uDk6nsyo+HIwxDAwM4J133kEikUBjYyNWrVqFxsbGmg/2eMea+4p4PB7U19fD6/WioaEBjY2NaG9vx7p167Bq1Sp0dHSgtbUVjY2N8Hq9cLvd0wpiU+G+QdxLbGJiggQxoiRutxtr1qyhCLEqI0kSEokEhoaGMDExgUgkkhdxEo/H0d3djX379mHfvn3o7u5Gf39/0esvYwzhcBhDQ0Po7u7Gnj170N/fj0AgAEVRsHbtWuy///5Ys2YNVq1ahc7OTrS3t6OlpQVNTU3w+XxoaGhAU1MTWlpa0Nraivb2dnR2dmLlypVYvXo19t9/f7S3t1PaLEFgsnDJypUrUV9fXzSycyZk9290XUc8HkcwGEQoFEIsFpuzatDEzOnqAl56afJvrbn00kuhKAr+8pe/4Oyzz8a6deuwcuVKnHbaaXjyySexadMmsa7f78enPvUpeL1eOBwOHHPMMXj99dfF6zfeeCMOPvhg/Nd//Rc6OzvhdDrxb//2byKbApg8J7ds2YIVK1bAbDbjoIMOwiOPPCJef+GFFyBJEp566ils3LgRmqbhxRdfxO7du3HaaaehoaEBNpsN73vf+/Dss89W9Vi8+eabOOaYY8RExmc+8xmEw+GcdX784x/jgAMOgKZpaGpqwmWXXSZeu+2227BhwwZYrVa0tbXh0ksvFe9/4YUXcMEFFyAQCIhMkhtvvBHAZPrk1q1bxXa6u7tx2mmnwWazweFw4Oyzz8bQ0JB4vZzj/Mgjj2DDhg3isxx33HE1DRaohKUrbxIEQUxDIBDI8evi3ivcq4vPnPIH9+yaDdy3iFeTBCZDxAOBwKy2y9E0DU6nExaLRaQfJpPJOUkx5AKVwWCAx+OpStQFn42bGnlSKAqFIEohSRKamprg8XjmuylLEkmS4PP5AAAjIyM12QdjTESfcIxGIywWC+x2O+x2OwlbBDFLFEUR0dhcwIpGo0gkEjlVKMsVsmw2m4jwnJiYKBoZajKZYDabYbFYYLFYlrTX32LjF78Atm0DgkHA4QAuuAA488za7GtsbAy//e1v8c1vfrNo+l72eXHWWWfBbDbjqaeegtPpxD333INjjz0W7777rrjf7969G4899hieeOIJTExM4Oyzz8a3vvUt3HzzzQCALVu24IEHHsDdd9+NNWvW4Pe//z0+8YlPwOv14qijjhL7+vKXv4xbb70VK1euhNvtRk9PD0455RTcfPPN0DQN999/PzZt2oR33nkH7e3tsz4WkUgEJ554Ig477DC88sorGB4exqc+9SlcdtlluO+++wAAd911F774xS/iW9/6Fk4++WQEAgFs375dbMNgMOD73/8+VqxYgT179uDSSy/FtddeizvvvBOHH344tm7diuuvvx7vvPMOgMnf61R0XReC2O9+9zuk02l87nOfw8c+9jG88MILYr1Sx3lgYADnnHMOvv3tb+OMM85AKBTCH/7wh5oHJZQLiWIEQSwKeLoMN3NljAmjZE3TRDpIJR2o+vp6uFwuEWHEq0IWE1p4JBT3vJo6+AoEAujv78/x7VIUBWazGXa7vWj7eHWvmaYrSJIEp9MJt9sNXdfh9/sRCoWQTCbnZfY1Ho9jYmJCGFhPR7boxQWvbOFrodwwicVNS0sLXC7XfDdjScOFMavVirGxsZwZ4mqhqqq47mc/lmuFSYKoJQaDQYhUU9F1XaSlp1Ip6LqeU7wku4hJOp1Gf38/gsFg0X1xb8CJiQkAk5OIFosFjY2NFUeRE9Wjq2tSEGMMWLsWGBiYfP7e9wIrVlR/f7t27QJjDPvtt1/O8vr6emH78bnPfQ633HILXnzxRfz5z3/G8PCwOEduvfVWPPbYY3jkkUfwmc98BsDkuXrffffBbrcDAM477zw899xzuPnmm5FIJPDNb34Tzz77LA477DAAwMqVK/Hiiy/innvuyRHFbrrpJhx//PHiucfjwUEHHSSef/3rX8cvf/lLPP744znRWjPlwQcfRDwex/333y8Ewh/84AfYtGkTbrnlFjQ0NOAb3/gGrrrqKnzhC18Q73vf+94n/s82yu/s7MQ3vvENXHLJJbjzzjthNBpF1PxUW5JsnnvuObz55pvo6upCW1sbAOD+++/HAQccgFdeeUXsr9RxHhgYQDqdxr/+67+io6MDALBhw4ZZH6NqQaIYQRCLgnQ6jVgsBkVR4Ha7AfxTpOIVx2Y6IEqn0zAajaivr88xek6lUjlh/YwxJBIJjIyMIBAIoLW1NaejyE2KE4kEAAhxLRwOY2RkBLIso62tLW8Wxu12w+VyIRqNimqKmUwGuq4jk8mI/yVJgsFgyHk4HA5RAt3v9yMQCAhT6/lKI+SD1lJi1sDAACKRiIhiI4haU430ZGJ6JEmCzWaDzWYTVWKrldZcX19fsOPO/QR5FAt/aJoGr9dLYhlB1IDsIg2liEQi6OnpKbtSdHZBFB61T8wfQ0OTEWJr1wKyDDQ1Ae++O7m8FqJYMf785z9D13Wce+65op/9+uuvIxwO5/kjxmIx7N69Wzzv7OwUQg0ANDU1YXh4GMCkCBeNRnPELmDyvnLIIYfkLDv00ENznofDYdx444148sknhegTi8XQ3d09+w8MYMeOHTjooINyIuaOOOII6LqOd955B5Ikob+/H8cee2zRbTz77LPYsmUL3n77bQSDQaTTaRH9WW6xgh07dqCtrU0IYgCwfv16uFwu7NixQ4hipY7zQQcdhGOPPRYbNmzAiSeeiBNOOAEf/ehHxZhuviFRjCCIBQ33lAmHw0Is4iIRLxWvqiqcTueMyn9ni2zF9s9N6WOxWE4bBgcH0draKjpsiqJg5cqVIkKCi3jZBralQsGtVuuMK70kEgmoqoqGhgZomgaDwYB0Oo3x8XGMjY3VLGJMlmWYzWaYTCbx0DSt5CCUi46U5kTMJRRxOPcYjUbh7eX3+xGJRBCLxWaU9myxWNDQ0FDwNYPBAL/fn1c9C5gcHPECHjwql0QygpgbAoEAxsfHYbFYcsSuYg+DwUC/zwVGQ8NkyuTAwKQgNjAw+bzI5XjWrF69GpIkiXQ+zsqVKwEgpzJ5OBxGU1NTTgofJzsyXFXVnNckSRITNdxf68knn0RLS0vOelMjFKf20a+++mo888wzuPXWW7F69WqYzWZ89KMfnbOK7sWqtHP27t2LD3/4w/jsZz+Lm2++GR6PBy+++CIuuugiJJPJqlfwLHWcZVnGM888gz/+8Y/47W9/izvuuANf/epX8fLLL2PFXKqrRSBRjCCIOYV7RPEZ/ewZhULrjo+PIxAIIBaL5QxqeaeJd6JqFVqfXZXJ4XBMu74sy/D5fPD5fGCMiXZy8+mxsbGc9bkH2GxnSkZHR0XKAZCbYuTz+RCNRhEKhaoaleVwONDS0lJxBI4kSWhubgaQKzrG43FR+GBqlBwJGsRsmatOKpGPLMuoq6sTs/mpVApDQ0MFRaxsVFWFy+US6VuFBss8tT6VSkFRlJxoFEmSREEVHmnLq90SBFF7pnqoloJH4/OoT03TYDKZRNVZYn5YsWLSQ2zbtskIMYcDuPDC2kWJ1dXV4fjjj8cPfvADXH755SUni9/73vdicHAQiqKgs7NzRvtbv349NE1Dd3d3TqpkOWzfvh3nn38+zjjjDACTAtvevXtn1I5CrFu3Dvfddx8ikYg4Dtu3b4fBYMB+++0Hu92Ozs5OPPfcczj66KPz3v/Xv/4Vuq7ju9/9rpiI/vnPf56zjtFonHbifN26dejp6UFPT4+IFnvrrbfg9/uxfv36sj+PJEk44ogjcMQRR+D6669HR0cHfvnLX+KLX/xi2duoFSSKEQRRVTKZDEKhEILBICKRSJ6QlS1waJpWUhSTJEkMpBhjiMfjItVxMcz2Z7evoaFBRDnwSCkuUFUjYqqxsRHhcFhEYPAUyqkVamZDtgmu2WyeNiKsHEqJjtkm+4lEAslkMic1KjvNlCCmY3BwEOFwGI2NjTOKKiWqQzqdxuDgYElvIU5LS0tB099sJEkSJvvApKdJKpUCY6wq1yiCIKoPYwyRSEQY+Mfj8YIeopIkwWKxwO12U4XYeeTMMyc9xIaGJiPEah3Yc+edd+KII47AoYceihtvvBEHHnggDAYDXnnlFbz99tvYuHEjAOC4447DYYcdhtNPPx3f/va3sXbtWvT39+PJJ5/EGWeckZfuWAi73Y6rr74aV155JXRdx5FHHinM6h0OBzZv3lz0vWvWrMGjjz6KTZs2QZIkXHfddTPqk8ZiMbz22mt57Tr33HNxww03YPPmzbjxxhsxMjKCyy+/HOedd54YU9x444245JJL4PP5cPLJJyMUCmH79u24/PLLsXr1aqRSKdxxxx3YtGkTtm/fjrvvvjtnP52dnQiHw3juuedw0EEHFfQQPO6447Bhwwace+652Lp1K9LpNC699FIcddRRZR1jAHj55Zfx3HPP4YQTToDP58PLL7+MkZERrFu3ruLjVQtIFCMIYtakUqmiQlgpKhmYSpI0bZjwQiTbfJ+nBfD/VVWF3W6fUZVGv98vKkFlm9PXErvdLgxzg8EgGGOw2+1VC7/OZDIYGxtDJBIRn4sixIjZwkVX/vsbGxuD2+2uetoAUR6KoqCtrQ26riMSiSAcDovCINnwa2Ol1DJymFhc8AkoHnWcyWTIo2qe0XVdRM1PF70rSRJMJhMMBgPC4TBisZhIs3Q6nVAUGsbOJStWzJ2H2KpVq/Dqq6/im9/8Jr7yla+gt7cXmqZh/fr1uPrqq3HppZcCmDxHfv3rX+OrX/0qLrjgAoyMjKCxsREf/OAHi6bbF+LrX/86vF4vtmzZgj179sDlcuG9730v/t//+38l33fbbbfhwgsvxOGHH476+np86UtfKmvCZyrvvvtunn/Zsccei2effRZPP/00vvCFL+B973sfLBYLzjzzTNx2221ivc2bNyMej+N73/serr76atTX1+OjH/0ogEkfr9tuuw233HILvvKVr+CDH/wgtmzZgk9+8pPi/YcffjguueQSfOxjH8PY2BhuuOEG3HjjjTltkSQJ//M//4PLL78cH/zgB2EwGHDSSSfhjjvuKPszOhwO/P73v8fWrVsRDAbR0dGB7373uzj55JMrPl61QGKLfMQRDAbhdDoRCATKSm0iCKJ6RKNRjI2NIRAIlP0eHhlUV1cHl8tVlVm/VColqkdyY1a73V52yH6l8BD/WCwGAELk4umS/FrEGBOVIMPhcMnZo2IRDUajES6XC3a7Pef1PXv2IBqNVvmTlYfRaBQzSXa7Pc9DYDYwxhCNRkXRAIoCIypFlmV4PB7YbDaYTCZKlVsk8Gq52WmOFBVClEsmk0EsFkM0GkUsFhNFcgpFHtXV1cHn89H5NQ90d3fPSDSYitvths/nQyQSQSQSyekrFOpL8UrgFoulqn2WhU48HkdXVxdWrFhBEdLEkqTUOV6JTkQSO0EQFcEYQzAYxOjoqBCFCsFn+CwWC6xWK8xmc16FyHQ6LUSjWCwmTPP5TG72/8XMV3VdR19fX16aYCAQgNFonHV02fDwsIjuyu50lxJr7HY7WltbIcsy3G433G63ENKy/bL431QqVVQAisfjCAaDaGhogNfrFcs7OjpEh5+nYvK/PK2Q7yu7WiX3YMv+n7+HR2fx/7MruHERzGKx1HR2NrvgQFNTE0KhkBAVy61cVWy7i3wOiCiTTCaDkZERhMNhkVZnMpkojW6BQ9E7RDaZTEbcM7Pvl7qu591D+brToSgKLBYLpeHVAO4PylMiuQ/s1OtuPB6vyv4mJiZyfFQrgZ8H3AqimF8hQRDLh5qKYp2dndi3b1/e8ksvvRT/8R//gQ996EP43e9+l/PaxRdfnJfrShDEwoHP5DscDmiahlQqBVmWoSiKqAbJxahSnU6/34/+/v4cIYiXMi6ELMsi+stqtYptGwwGdHR0YHx8HENDQ2J7jDHs3bsX7e3tACCMW3kUAm//dMykcmMoFEI8Hs8xB+UiYTEaGxvh9/sxMjJSUPyJRqMYHR0Vvl48hWApYzAYhEkvFxWzv8PsVFT+P+/YTv2fM1VAZIyJ8y4ajSIajc5KfCMWDjxaZHh4GKqqYu3atTTwIYgFCJ9w4lWeY7HYjAtj8D4If/CKo3xyjSgNYwwTExMIhUJ598tsT1iLxQKbzSaiuyORyKK5d3ILCB6xpmka6uvr4XK56B6RBRedp/rgAoWj8bL7YVP7ZgSx0KmpKPbKK6/kDCb/9re/4fjjj8dZZ50lln3605/GTTfdJJ6TxwdBLGwURZlVqnImk0F/f39FKZf8fX6/H36/X4haDodDdHS5WDYwMIBIJCLe09XVVXB7yWQyr/RyIex2OzKZTE601dQKklORJKloeH46nRZVFm02mxDmeHU2ABgYGMh7H4+Y4tvnETBTxSEe/SXLsqi8lkwmxYNHj019AMj5jAaDAWazGU6nc0H483BRcbbh/5Ik5YmJmqblCJipVErMdHOhjFjc8O+0VBUrgiBqT3bENRfBKvXDlGVZiF28yrKmaVBVlYSvEqTTaUQiESQSibyIu+zn5QiS2aLSYieRSGBkZAQul2u+m7JgYIwVLHyQ/Xo5yzhT+6rZ2R/8fSSeEfNJTUWx7FQfAPjWt76FVatW5ZQ7tVgsaGxsLHubiUQiJ0R6qVyQCWI5kE6n0d3dPWORgd8wdV0XAtlM4Cat5dDa2przXNf1aUWx+vr6nFQgLgQWmkm1Wq3w+XxisG632zE4OFiyc8FTWGt9/QuFQhgeHobZbEZra+uCEMfmAlVVc8rIv/3224tmBpzIRZIkEcVK3yFBzD1ciOETDKVsFwqRXe2YP/ikD1GaTCYjPLcikUjVUheXEgaDAVarFXV1dXROZZFOp6tqOZEdZTa1enwqlRJBNIUi/gs9CKLazJmnWDKZxAMPPIAvfvGLOSfzT3/6UzzwwANobGzEpk2bcN1115WMFtuyZQu+9rWvzUWTCYKoMoqiYOXKldB1XfhXAaVDrnlqW3ZaRSF4Ncep0U6FHg6HY8ZGq5Ikoa2tDYlEQhhD81RGHqHl8XjE+owxDA4OimqNU4lEIujp6cGaNWsgyzKMRiMaGhowNDS0YDywYrEYAoEAfD7ffDdlXmhraxMiZK0rfBLVxWAwoLGxsWZFNwiCKE4gEEBPT09F75EkCTabDQ6HA3a7nSoMlkkymcTQ0JBIe1wo/YeFhqqqMJvNwktsufiJVXo+qKoKRVGEZ18pH92pFhWlMBqNedH6qqpCluWCabqF9sUtW5bD90ZMT7WudXNWffLnP/85Pv7xj6O7uxvNzc0AgHvvvRcdHR1obm7GG2+8gS996Ut4//vfj0cffbTodgpFirW1tVH1SYJYYmQyGezcuTMvukOSJDFbzNPpeNrEQr5BMsYQj8cRj8fzOhn19fV5Ih33uuLiYTKZzPmfG+lXSrZ4x0XCbKN9xlhOaorRaITD4aCqRfhn1dHe3l6acV9kOBwONDc30wCbIOYI7jW1d+/eaQctiqIISwCbzUYpkBXAC4uMjY2REDYFbgPBow3NZvOyqjwJTJ4f7777Lnw+n7DomAmMMeEvNhd+YdnCbvZ5XazoFrF8CQQC6O/vx+rVq/N+35VUn5wzUezEE0+E0WjEr371q6Lr/O///i+OPfZY7Nq1C6tWrSpru5V8WIIgyieZTGJsbKyg/1S2DwWAoma2hUKeeepDOSQSiZzqRdyra6ncEPlNv5AhfLnv54IW/y6yt8H/5wJYOR0YXq2SKE4mk0F3d7fwriMWHlarFYqiiPOeR5J6PJ4lc/0giIVIIpEQ9gbTRda6XC54PB6YzWb6Xc6QTCaDoaEhjI+Pz3dTFgxGoxFerxdOp5P6M5j0qfX7/fD5fMsmMo5YHui6jv7+fqiqivb29rxzuxKdaE6mTPft24dnn322ZAQYAPzLv/wLAFQkihEEURuMRiNcLhf6+vqmjYrhEVDlwkuiO53OkrN2C9nDKplMikF3JaRSKQQCAYRCIUSj0byZXS5cZVfyNBqNUFUVdrs9R1DkYeSlRMZKDUypAzk9siyjo6MD/f39M/a1I2pLNBoVUScOh4MGAQRRQzKZDAKBAPx+f1meoaqqorm5GXa7fQ5at3jg0ThTrSWy/5ckSUxK8r9msxkOh4N8lv9BMplEX18fBgcHRT+KZxWYTCYYDAZhy+HxeJZ8BDH37h4eHq7ZPgr1ZQliLjAYDAUFsUqZk6vAtm3b4PP5cOqpp5Zc77XXXgMANDU1zUGrCIKYDrPZjJaWFuzZs6eqYfnccHdwcBB2ux0ejwc2m63mN9FYLJZXZpynbZhMprKiqAKBAMbHx4W3GU/lNBgMIi2SP+x2e06Fy0gkgu7u7pyqvFPh0WO8WmQkEoGqqmhqaiooWPEUlUQiIVIgs/96PJ68oieMMaRSKZGOzh+6rqOhoUEMVGKxGHp6epDJZIQAV6hCJa8CupwwGAxoaWmBqqoYGRmZ7+YQU+DFKHj6L0EQtUPXdSiKUlY/wePxoKGhoeyI8aWO3+/HxMSEsEegFMjqwfti8Xi8qGAYiUTQ2dmJYDCIaDSKdDotHsX6PtnPFUWpOAI5nU6jq6sLiqIIfyz+t1A/z2w2z8rCQpIkNDU1wefzVdUXNZlMwu/3IxQK5fVrVVUVnm0Wi4V+70TNyM5Qmg01F8V0Xce2bduwefPmHCV+9+7dePDBB3HKKaegrq4Ob7zxBq688kp88IMfxIEHHljrZhEEMQ2MMfj9fvT391e9k6aqKmw2m/B30HUdQ0NDAACTySQqTc2WdDotDPH5RVPXdYyPj+eYhsbjcbS0tEx70x4fH88zwJ/qc8hxOBx5/g2Dg4MlBbGpSJIEr9eL+vr6vAt+Op3G+Pi46EwXorm5Ocf0n1eT5AJYIfbt2we73Y6mpiZh/B8Oh8U+pxIIBDA4OAiTyQSHw7Gs/MckSUJDQwOMRiP6+vrmuznLErvdniN68TRJbhJMs9UEUVuSyaS4F5W6v2mahubmZlFpmZiEV+ck5odIJIJ33nmnpEfrdEIS79OW67HF+6aF+o7F0DQtp481k3vbdJkFlaDrOmKxGKxWK0wmU561Cm9fLBaD0Wik3z2x4Km5KPbss8+iu7sbF154Yc5yo9GIZ599Flu3bkUkEkFbWxvOPPNM/Pu//3utm0QQxDTwioljY2NV2Z4kSbBarbBardA0DalUCrFYDKOjo0gmk3nrt7a2wmg0Ip1Oi4gpnq7odDrzQt1jsRiCwSDsdrvwJmGMYd++fXnVKhVFgcvlgsFgQDAYRF1dXclZPt5p4VUl7XY7BgYGhFBUCLPZXDA1dLrOiCRJIsRf0zQ4nc6CEVipVAp79uyZtqPm9/vhcDigKArGx8fR399fcn1OKBRCOByG1+tFe3s7EokERkZGEAqFhK8br/QJ/DO6LRwOIxQKob29fVmZ2brdbqiqir6+PqpOOcfwGerGxsaSlasJgqgukUgEY2Nj06bsSZIkTL4XWnp+MBhEKBRCLBaDLMtCTOd/+f/FvEx54ZzZ+DQt9dS9xcBMihZl093dLf7PNqEv9JdPzlYK74eNjIzAYrGgs7NzXn9PBoMBTqcTsVhMRM9l+9cSxGJjzoz2awUZ7RNE9RkaGpp1SpjBYIDL5RIRYePj48K4vxQ8hDyZTBaMUOPl2rmwNTo6mjPLajQa0dLSAqvVikQigd27dxfdZzkdi+7u7pxOPw+lL7cTZbFY4PF44HK5Sran3Op4uq6jq6srT+wrBk8PnZiYKGv9qWRHm2X7k6VSKYyPj8Pv90NRlJww+eUkiGWTyWSwe/fugkIvUT24eTL3hOE0NDTkpQoTBFEbduzYMW3kM486Xojp9YFAAD09PWWtOzXqmsP7Sj6fDz6fb0btiMfj2L17N6VNEhVRX18vvMLmEl3XEQ6HEQwGEQwGC/Zns1NCCz0KvUZiGlELFpzRPkEQiwc+EzUb3G43fD4fVFVFJBLB7t27yxaRuAdEMRhjCIVCCIVCBV9PJpPo7u7GqlWroGkaGhsbi0ZIRaNRjI6OluzMtre3I5lMig4A95wol2g0KsLGNU1DU1NTTqqdwWBAc3MznE5nWR2CoaGhsgUxYHIGdKaCGDCZzhqPx0UaKv+bbabMI/94ZCH3kuAm58vBSyKTyaC3t5cEsRrDi06YTCbU1dVBVVXE43ER6UEQRG3h1/vpUBQFHR0dc9Ciykkmk2VHTgOT9/FCopjD4cDIyAiGh4fhcrmE+KfruvBOTafTIpqae5kyxmAymWC322GxWNDR0YHu7u4ZRRARyw+DwTBvhajS6TT6+vpK9tOn68cXIrtwVDEBjWc+EEQtoDOLIAhBNBqdlYBiNpvR3NwMs9kMYHImtre3d85nQDOZDPbt24cVK1ZMWxVzZGRkWh8so9GI+vp61NfXI51OIxQKIRgMIhwOl/XZ+PEAJjvR6XQauq6LqkiVlKOf6xn3PXv2VPweXmEzEAigv78fdrsdTqcTdrt9waXPVAMuxFZSgZWYGclkEqOjo+K5oiior6+H2+0mUYwgasy+ffuKTkhNhdsfLLQosVgshv7+/rIH7TyKm8MYQywWw8TEBAKBAIDJySNVVTE4OIhIJFKWaBgOhzE6OgpZlmG321FXV4fR0VGKGCOmhfepyiEej1fNiByY7IO2tbVh7969VdkehzEmChwUY2hoCC0tLZQZRtQESp9cgPBqHsA/PYbMZjOp48SckU6nxSxnNBpFLBYrq6OWnb6USqUwODgozETn41JTrneD3W6f0Yx2Op3GyMgIxsfH8z4fNxa1WCwiWiocDqO/vz8vmkiSJDidTtTV1eUIaIVIpVJ45513Km7rQqClpQVut1uUnE+lUkgmk7BYLNN+7oVMOByG3+9HOBwWxQkURUEoFJq1VwlRHtzzz+v1LknhlSAWAmNjYxgZGSn7ulZfXw+fz7cgfpPRaFR4Y5ZLfX09GhoaIEkSMpmMsAyYapDO0yurYT1BEOWgqiqam5tFtfBCcC9Zg8EAq9UKm80Gu90OWZZzKo9zuxLuZ8sfsiwjHo/D7/cjlUoJnz1FURAIBEp669YSh8MBp9MJm81Gk2FVJJPJIJ1Oz1sUYi2oRCciUWwBEgwGc0wbOaqqwufzwe12z0Or5h4+G8cHm4qiQNM0GI1GGI3GJRt1shDRdR0TExMYGBgQywwGA0wmU96j0HfCZ4CyU/D4Y6EYk69Zs2bGN4J0Oo1UKiXSJCwWS56I3dfXV1YUnt1uR2tra8kb/ejoqJjl5lFZi+FSzj9ToRl6j8eDhoaGJdXB4cUHJiYmEAqFFsV3tFDxer1gjOVVjp0K+YoRs0HXdXEtT6VSMBqNRe9ry5lMJpNzLy8lBMmyDLfbDY/HMy9RY5FIBCMjIzMawJvNZvh8PtjtdjDGEAgEMDAwkHcPM5vNokjO1ArVBFFLHA4HPB4PLBZLznWqEs+8YsiyXHEa5FwiSRIsFgvsdjvsdjuMRiP5klWIrusIBAIi+4VPBCwVSBRb5MRiMYyPj4sqJbIsw2w2w2w2L7mOGWMMqVQK0WgUiURC5I0nEgkEAoGSgonRaBTG5NwIPbvCi91up+i6KhOJRJDJZESqQLk3n0Qigf7+fsRisQXrmWE0GkWKXyXpjOXy1ltvlf3ZjUYjOjo6Sop08Xgcw8PD01b+Wkzw6qLZFTgXo0gWi8XEzKskSSJ1gUeUVeIJR0yiKAr2228/6LqO8fHxHGF46npr165dcvdKYvak02kMDw8jEAhAkqScB3+90DklSRLMZrOI/LVYLIvyulRLhoaGMDExkeObVQiHw4G6ujrhs1lr0uk03n777VlvZ+3atULQS6fT4vMSxEKBC0RWqxWKomBgYGDZibOqqsJut8NkMkHX9YKPTCYjrlOZTAa6rkOSJOFdxiPhZFmG0+lcUlFThdB1Hd3d3WCMiQJp5abmLgZIFCMWJIwxMbsYi8UQjUYRiURqll7kcDigaZoop60oiggNTafTUFVVRJ4tpwFUJpNBPB6HpmlzKhrGYjEEg0Fxk+Z/p5aq5oMUnl7HU+xSqdScCWrc48Nut4sOxmxgjOHvf/97xW1oa2uDzWYr+Lqu6wgGgxgfHy87vXUxoiiKEMlsNhtsNtuCngksVWHUYDDAaDSCMZaXfkMUhqcW19fX5/j+8VSmWCwmrvH8QZE9RDaZTAZjY2MYHR2t2j3EZDLBYrHA5XLBYrFUZZtLiWxjef7g9yij0ThnoiJjDN3d3RWlTBbC4/Hk+Yp1dXXlFJwhCGLp4XQ60dTUREEWixSqPkksGHj60OjoKKLR6JwO3CuJoOGG5zwyhZcHzo7W4yISTwXkgg2PaFkoA3UuPvK0Bt5554yPj2NoaAgAYLVa0dDQULRTn0gkqjZLwqMds9uYLXxx0St79p6Hbs91qeZMJgO/3y+8/Uwmk/BjmC5KIB6PC/GDwz9XJed/JpNBd3c3Vq9eXTDlhM/ouFwusT4XfLnBcfajWmmqBoMBZrMZkUikKtubjnQ6jXA4jHA4jLGxMWiaBq/XKz73QmNsbKzowFvXdTLjrxBebcrv9+dE9fD/uUgqyzJsNhuJYcsMXdeRSCQQi8UQj8dz7hf8XPD7/RVNvvFJtEQiUfC3bLVaUV9fT16vJeC/z/n+PUqShJaWFuzcuXNWaWBT75/Dw8MkiBHEMiAQCMDr9c7btZ5fexRFWTDjzKUK3c2JmhGPx9Hb27soBoFclJluoC/LcsHUgOyCCDz6jAttte4Ucu+1UCiEcDhcsCPPZ7P5OpxIJII9e/bA4XCgoaFBCGCxWAzDw8MIh8NYv359zoU4Ho8jFAoJwVBRlIrSSTKZDHp7e2c9czuXxONxxONxjI2Nob6+Ho2NjXnrZDIZDA8PY2xsDMDkwIqbmlqtVuy///6iImM5gpLb7YbP54OqqmW1kYu5xURMHkrPxblscSE7lJyHk+u6XrA0tsvlgqqqSCaTGB8fRyqVEtGHc2Eqn0gk0Nvbi0QiAZ/Pt+A6CeX8DriYI8uyEF6JwvDqboXgx9HpdMJqtc77AJyoPdz/JBaLCSFstpNt3B9T13UxgcAHInyiLDsaNxKJwGAwoLGxEYqiQNd1hEIhxGIx2O12WCyWBXddWmxEIhEkEgkoiiJEypkOChVFgc1mK3ktmY7s+2owGCQzfYJYRsxXBd1wOIx9+/aJe092X3zqA8iN0OX/y7Issi0qsb1ZjlD6JFETqhWyvtjRNA2ZTEYIZPxhtVrLushmMhlEIhFEIhFEo1EhQvGLYiKRQDgcrpoRpsvlEml5nLa2NkiSJCKOuG/IVCwWi0hvmy59iRtmDw0NLViPMeCfBsGKoggR0GKx5Hx3kUgEExMTCAaDRT+LwWBAQ0MDPB4PJElCIpHA4OBgyd+HJEl5aWFut3tGN+dy0jdVVYXD4YDL5ZpRJchMJoORkRGMjY3NWUSo1+tdcMIYrx4cDofFQJr7ivFoQx7RNDAwIERUojwMBoMQwqjy1PIhnU5jbGwM4+PjVTd+NpvNJX3+jEZjXsXgbFuGcDicc+1XVVVE8S51P5paEAqFsG/fvoKvZYtkqqoKj7dSg71EIoG+vj7hGTeT86e1tVVEJ3d3dy8pL0+CIErDMyR4pXReOCy7cudUaxg+Tsu+V/Dsl2w/M13X4XA44HA48q5hfr8ffX19VetTGwyGvAqjZrO57Mn3xQh5ihHzBh8Q+v3+vE7kckTTtKLeQSaTCXa7HQ6HAyaTKediOJPS4QsNno5aqMQzh58v/KaRyWREBEA1Tfm5f1y2uMXTbhKJRMkIJ03T0NHRUVSM0nUd4XAYwWAwRxhTFCVvu2azGZ2dneIYhMNh9PX1lZ3a2NHRIapgBYNBRKPRssK6M5kMduzYUdY+gMlzs6GhoWSp72JEIhHs27ev5mInN5VtamrK8ZpaSPBKdoUqIum6jl27dtF1sgyyoy4pRXJ5kUgkMDY2VnQyhv+2ZFlGPB6HyWRCIpEoW/iYThADJtMls1Pgi6VVFsJoNBac1ecP/jqRSzwex+DgYNkVI3nEOvcCLXVMZyJqrVq1SkwW8fs2H9QSBEHMFpPJJCrdZvcXY7EYuru7q2aBUmzfXJhbSHZA1YBEsUUOr1DmcDgW5AAgmUxieHhYKOP8wQUN4p+UEsWyMRgMUFUVsiyLdMiliizLQgTjQhPvXFqtVjidTuHdNjg4OG0kTbbvG/eC42bbPGSYi2DcxyyTyeQY6PMCEMlkUnhycY8uVVXR2NhY1k1C13XxHkmSkE6nRVGJZDIpfGg4jDHs2rWrbNP1jo4OqKqKgYEBkYJpMBhQX1+Purq6olEz8Xgcu3btKmsfHLfbjZaWlorew6M54vG4mEGrJlxIttlsi7oa72JMIZ5rsge4S62TRkxPNBrF6OhoSfHCZDIJewZuYcBFq6kTTTxik/ttZq9bikKTG9WGD0h41bTFdK7ruo5YLIZIJALGGMxmc96grtR7eSS8w+HI8zYNhULo7e2dUWSX1WoVx3TqhBb3uh0aGirb3sNkMqGxsTGv8E04HMbevXsrbh9BEEQhzGYzfD4fZFlGOBwWmUJzJdf4fD74fL452ddcQKLYIicYDKK7uxvAZEePDwymm/2aC5LJJLq6umqqWM8GtbcXytgY0nV1SLW2zndzyhbFiH/Cz3mv1wuz2YxQKARd14XwlS2CFTPgZ4xhYmICIyMjJc9Vs9mM+vr6gmHLMyGTySAYDCIejyOVSgmfuWKea6XSRAphtVqL+pEV8zrTdR179uypyNvPZDKhtbV11hFYPBovHo8jGAwiHA7P+saenaZrNpsXxQAyk8kgHA6LiruLwWdxruAiNhfJeYoppUUuPxhjCIVCojAPh6eeZP/W+T2hkNk5j8CKx+OzjuTJFt7mAkVRRH9vJpOiuq4Lv6up6ffV+E3pui6uY9FoVAzWJElCfX09vF6vaDOfHJmaWpR9Pcy+HzgcDpEOP529QCUUi4IIBALo6empaFs2mw0tLS0isn3Xrl0Ltj9MEARRKV6vFw0NDfPdjKpB1SeXEDxNis+W8kgap9M5L4MGVVWxYsUKRCIRMTs436KP2tsL24svwvzqq9B6ewFFQcZmg//00xE8/vh5bRtRGbIsw+l0wuVyCUFmJil82Tn9pTqssVgMPT09MJvNaGhoEB3dTCYDWZYrFl10XUdfX594nh3lYDabsWrVKqRSKVGhslKz3lIG/YWqMTLGKi52YTKZsHLlyhlFYYVCIQSDQTEQ4h5lbrcbbrdbGFIHg8EZmx7zgdjw8DBkWYbVaoXdbofZbJ6TwhaVkk6nsWfPnmWZJjnVO5FXZZ06UF8MwiZRO3Rdx8TEBMbGxsTvJLvSqKIoFUVP82hfYFJEzzbOrxSeksn/rzXpdBoTExOYmJgQhSS4SFaO74vBYIDH48G+ffvy2sujtJubm4tWnJ5KtgjG+32FJjZ4BPTExAQMBoO4zlcC7+tWWql5OnihnOHhYRiNRjgcDjDGZuTnmEwmRd+be0WSKEYQBLH4oUixBUh2pFgxJEkS4oHVap23QQVjDJFIBGNjY/OSCuR+6CF477kHyvg4JF0HMxiQbGtDsq0NMBgw8JWvzGvEGEWKlQ+PEMuu3MnTELkZ5dQHT3/h/mMNDQ05UV+zrYDKjfVtNhusVis0TUM6nUYqlRJ/+Sw53+fg4GDBDr0sy1i7di327NlT9XNCkiSsWLEiZ6CTyWTQ398/I/HJ6XSiubm5IuE9Ho9j9+7deZ+9WBrmTGbpy4FHiWiaBq/XO29Vg4DJAeXevXsLRrMsVRRFQV1dnahSShDFYIyJ4hzZKXKapgnz4mpRyCy/UriQO1+/Z6vVWraH4tDQUNFJF1mWsWLFioLbSSaTIuWfolpzkSQJnZ2dsFqtYhlFixEEsZSgSDFi0cEYE4b2vCqdy+Wa8wEgn8m02WyIxWLo7e2t6oC/ffNmWP7v//KWM1VF+EMfgu2ll7Ax9Bx2Yy1W4V28rr8fxu5u6GYzmMUCZWxsXkWxRa45zyk8KnI29PT0wGKxwOPxIBAIzFqo5Sb65Zr9TkdfX19NRFLGGPbs2SOqMUYiEfT29s7YCycQCIjU0nIplBopy3KeBwvH6XQiFothdHR0Rm0sBo8SiUajCAQC8Pl8qKurm/OJA8YY+vv7l5UgZrPZ0NraOu9p/sTCJ51Oo6enJy/6lUfeVPveWY3ffzqdntdzOxKJYNeuXWhqakJdXV3R9YLBYJ4gpqoqOjo6RAW0qcdjeHgYExMTJO4UwWg0oq2tTUTEcV+ywcFBOmYEQRBLAOq5LgFSqRSGh4cxPDyMxsZGuFwuJBKJPP+lWg8KeXrYyMgI/H7/rDsK6zZsQNFEqFQKrmeegQEpAJPRLG/iUBiQgs5UGLu7ET/gAKRLdByJpQlPr1tocL+xWlKt3x43tK8Et9uNZDIJSZJEmpzT6SyazshLWtcSXdcxODiIQCCAlpaWOa1SORefbyHR0NCA+vp6SoUkpiUej2Pfvn151ymevr4QK/rxysULoQhOMBgsKYpZLBY4HI6c+40kSUULVmQyGYyMjNAkXhHcbjeamppy7mWBQAC9vb3z2CqCIAiimpAotsTgqWZdXV0FX5NlGYqiCI+favvvGAwGNDQ0wOfzIR6PIxQKYXx8vOKIlTXHHFNcEPsHB+HP4ILYP5FxEP6MV9NHInz44QvCbJ8g5pKZCmKqqub5uVWCLMtobm4ua91oNIqenp45m2GPxWLYtWsXVFUVEwUGgwFer7doJNtsUVUVK1euRH9/PyYmJmqyj4WAqqpobW3NSSkiiGJwMWGqAGMwGIQJey2YrVgry3JF6ZdchOIp9/F4vGqfTdO0kq8rioK2tjYMDw+LiLFkMomdO3eirq5O+KzxCsHxeJwEsQIYDAa0tLTA6XSKZalUCpFIBENDQ/PYMoIgCKLakCi2xBgfHwdjDKqq5g04GWMitWhgYAAjIyOoq6uDx+Mp3zsoq2OZATC1GxU79FDEnnwSPp8PZrMZZrMZbrcbvb29JU3Cs7H85S9Qp4T+GxDHpACWgY7JAfturC34/t1YC91sRvTgg8v7TASxhJEkCS0tLUKkTiQSkCRJ+ONomgan0wmLxVLzKB9ubjw4ODjrbUmSBEVRoKoq0ul0WQPW7GuiwWAQqTC1glfTW2qoqgqHwwGn0znvFUB1XRf3tXQ6DVVVZ/y9ZjIZhEIhhEIh4RXIBVT+GyFmBmMMQ0NDBdOl+W+5lsUoZnuOJhKJir3OLBYL6urqhIjFxTFekZf/LScyjvvIer1esb1UKgW/3w9d14WJvt1uh8FgQCaTyfOTTCaTGBgYqPCTL080TUNHR4ewJBkfH5+2mjVBEASxeCFRbAHDq9/xGb1ySCQSZQ840+m06KR6PB7U19eXFMcykpQTvVUoksv2l7/A0tSEseHhnBLcFoul7JlS2+9+h+zuqwHprL3JMCANHQpW4V28iUPz3r8KXcjU1YGRyTNBoL6+XlSmbGxshK7rOYUB5hK/318VQay1tRVOp1N8Bl3XMTY2huGs604pJElCU1NTzSv4xmKxGfu6LSQMBoMYcDscjnkXwoBJAau7u7vgZAsXI7KLbnCRIBAIIJFIwGKxwGKxiHtsIBAo6IvH8Xg8Nf08S5lMJoOenp6C3oy8gl+tU40zmUzBycJKSCQSMBqNSKfT0wpZjDGMj49jfHwcDodDRGhxD9bs9QqJZbIsi0gzk8kETdMgy7IobjQ+Pl6wiAoXcHkUGDEzEokEdu7cCaPRCEVRyp7UJQiCIBYnJIotUBobG4VnxM6dO2u6L7PZDKvVWjCVMpPJTHbqfD5MtfAvFL0FAAZdh3rCCej+yU9m1B7j7t1T9jG1XQYYEIcOU46n2D9ajD8e+mkkLa3kJ0Yse7jJPC/IYTabq54yXQnj4+NV2c5UbxyeCul0OjEwMFAyOstisaClpWXaFKRqYLVasWrVKvT19S2KKm6KokDTNJjNZphMJphMJhiNxnk9ZwqRyWSwb9++ot6B3FdQVVXhscmjvzjBYLBsjz8eeUNUTiwWQ09PT0GBRpZlyLJck2q8TqdTnMOapgmDfF6AIxgMzkiwTiaTsFgsFflW8nOtra0tJxWPt5VH7ZbycdR1XYhspa4luq4v6XTtuYRXt15O3pAEQRDLFRLFFihDQ0NwOBwwGo1YuXIlRkdHczpPmUxGzCqWm55jMpmEjxjvjKqqWrJipSzLsFqtec5dxaK3OIUqRpaLlBO9USySY3K5DhUH4c/YjbVYofXh5QPOQ8Ziw8QZZ5CfGLGsaWlpgdvtht/vF4bALS0tsFqt0HW9aqbz6XQamUwmR3BgjAl/IP7QdR2aplXFqLqrqwterxd1dXU5go3RaERHRweCwSDGxsZyZve536HH45nTKCez2YyVK1diZGQkryLcfKOqKrxeb04kymLAYDCgo6MDqVQq55FIJHKErlQqVZVjrus69uzZA7fbjYaGBqquWQaMMUxMTGBgYKBg9J2qqmCMVT2aaWqVwKlYrVZYrVY0NTWhr68Pfr+/ou0rijJjgXum4oqu69i9ezeJMwRBEARRI6hntwBRFAWdnZ1CrFIUBY2NjQXXZYxhz549ZQ00eUpJpXAfFd6tnS56a7bEDjgAjhde+MezDAoLY/+ctf8/vB9vv/km1N5eDI59Eem6OhLEiGUNF8QA5EQN9Pf3iwGqzWaDy+WC3W6fsRgSi8XQ1dU159XidF3H0NAQxsfHUVdXB6fTCTUrXdrhcMDhcIi0uFgshoaGhpITALWEC3JGoxF9fX3z0oapOBwOtLS0LBohLBteNCZ7godXB6xlhdeJiQmk02m0t7fPe/roQkbXdfT39xcVnLj5fLWj7xwOB1pbW6eNbGSMle3llQ33mJtpSnSxz8uj1ywWC6xWa57oajAY0NbWhq6uLopYJAiCIGrGQssMmEtIFFuAVGLmK0kSVqxYgXg8LlJGotFowU7bbDvxErgwVjp6q9B+NU2DxWKB0WhEJBIpGd0WPfRQsH/sbzJFMjsqDQD0guJbqrWVxDBi2VNXVyc8xDKZTE60VHbERjgcRjgchiRJsFqtsNvtsNlsMBqNZV0rEokE9u7dW9bAUlGUmnhrpVIpDA4OYnBwEBaLRVTP5EKPqqqor6+v+n5nSq2N/cvFarWira1tUQs7jDFEo1FEIhHEYjFEo9GaCgZ8cirby47IJ5FIoLu7u2RUU62qTHJhtBi6riMQCGB0dHRGUVeMsVkVBCj0mcPhMPbu3QsAGBsbAzAZ1W+1WmGz2WCxWMRnstlsBX3ECIIgCKJcJEnKGQ/w6vPcdmC5QqLYEsBgMAjTYOCfHb/x8XGkUinoug5FUXLMXWfKPyyLMV30FjDpZ6TrOnw+nyi3Pjo6WtBsNxumqtCz9qBDKepfBgBpn28mH4UglhQ8JSj7hlbOwI8xJgQyYPLmyAf/pVAUBV6vFxMTE0gkEqJKH4/gyf7f5XLBZDIJL59amBbzCYGRkRG0tbXBarVWfR+zZb4i1aZiMBgWvbDDxVz+PfNUvPHxcSEuVANN0+BwOKYtRLPc4cUuRkZGphXKazUTXeyc5j5bo6Ojs64eGI1GYTabEY/Hy65CyYnFYggGg7BYLCIazGazoaOjA93d3WJ78Xgc8XhcnMe1mlQgCIIglh8WiwVNTU1QVVVoBIu9T1gNSBRbghgMBrjdbpE+VW0YTJAKRG+xLLFKwaQolo0kSfB6vbBYLOjq6iq6/XRdHZIrV8K8Z0/W1osr1/233FLpRyCIRYssy3A4HEJ4MhgM0DQNdrs956bGGCvLb9BqtUKSJCGKpVIpkXKZTqdhtVoLzhzJsoz6+nqRkl3ODbWurg51dXVIp9OiEmAlhtXlkE6n0dPTgzVr1iw4EcNgMMDn82F4eHhe27FQItaqSTKZxODgYNkem8Uwm80ijS1bvCAKwwWnkZGRosKNJEk551y1vbEcDgd8Pl/edSqTyWBsbAxjY2NVjUyLxWIwGo0VR4zxKDpgUiC32WxwOBwwmUwlBTYSxAiCIIhqEYlEsGvXLvh8vryx+nKGenvLEN5RtNvtYnadpzaWC4MCKSt6i00VrbL8fbLRdR2pVCovdDObVGsrRi+7DM3//u+QSwyYGYDR889H9NBDy243QSxWuKhcV1c3rdgTjUYxPDyMRCIBk8lU0BjaZDKhoaFBRJCOjIzA7/cjmUzmRI5JkoTm5uaiIvtMZpcURRECWTKZFIPqct4nSdK00R7pdBqDg4NoaWmpuG21xuv1IhaLzVq8mSlWqxVer3de9l1LNE1De3s7MplMngF/9iOdTot7j8FgENWXebT1cvbTqATGGPx+P4aHh6f9PZpMpqqL30BxMYwxhvHxcQwNDdXE77DS6pOF4FGN4+PjNENPEARBzDnDw8Mwm80lKx8vJ0gUW4Zwk9lEIiHKoff29ooZcqPRKDwtSm6nlKn+pk0AJmdU+/v7kU6noaoqEolEWTO2weOPR2zdOngefBDGXbuQbmgAAChDQ9BtNsTXrUPskENIECOWDWazuewZHbPZjM7OTvF8YGAAY2NjkGVZ+G6ZzeacwRifMeJCeSKRgK7rszLiLwcuxpcSyjk8cq2hoUFUGiwWdTIxMQGv17tgUhY5kiShvb0dw8PDc1qNUpIkeDweeL3eJTsIlyQJiqJAUZSi0XDcz0rXdaiqumSPRa3gvzu/319WxJfZbK5KxVmOJElwu92oq6uDpml5r6dSKfT29tYkRTt7H9UQxjiVpmESBEEQRDXo7e3F6tWrc4pVLVcktsjvxsFgEE6nE4FAAA6HY76bs2hJJBIIhUKIxWKwWCyw2+35g8kSg4fsk0g3GtH99tuQZbmmlcAWAzNJsSCIqXATzGJVaKeDG+7bbLa8SBhd14VQLUmSqOw316TTaUxMTGBiYmLa34wkSairq4PP50MqlUIwGEQwGMwZfFssFqxYsWJBix6RSAS9vb2z9jkqhcFggMfjQX19PaUCEhXDJ9H4b6zS1EdVVatyfiuKAo/HA4/HU/Q8TiaT2LNnz5ylG8qyDE3TEIvFSNgiCIIgFiWyLKOpqUkU6VpKVKITkShGVEaBAWZ29zN07LHo27p1zpqz0CFRjJgpbrcbPp+vZgaYjDEEAgEMDAzkiGINDQ0VV2zkt5FqtJNHqvEUzkgkUjQFihcFcDgckCQJuq6LSrzZxUcWMplMBn19fTWZQLDb7WhpaSExjKiYaDQqCmPMRtSqxj2wvr5eFOwpBmMMu3fvLpgqXms0Tau6TxpBEARBzBWqqmK//fab72ZUnUp0IuopE5UxRUMNhULo6+sjI1iCqBKqqqKlpaUq1WJLEYvF0NvbC2Aymoh7fBUSUHhlOWDSLJ8PTjOZDAYHBxEMBsEYg6ZpOQ9VVaGqKmRZRjKZFJEmDoejYNQaMCms8ffX1dWBMYZoNIpwOCzSvvkgO5VKoaenBxaLBS0tLdA0bdGIYRxZltHW1oaxsTEMDg5Wdds8RZ4gykXXdQwNDVWtgudshXJVVacVxPh+VFWdc1GsmmmUBEEQxOKEW2NomgZZlhEIBNDf3z/fzQIw2c+02WywWq1ibJFKpZBMJoXf6lIswFQpJIoRM2Z4eHjeq6gRxFLC6XSiubl5ToQMi8WCdevWgTEmqlgWY3BwUBhCOxwO4eUjSZKoVAlMCm3l+Af5/X7Isgy32z1tWp8kSbBarTkehzyajHufJZNJBAKBRVtFh6eDRqPRqkaMJZNJ+P3+mlUiJpYWqVQKe/furWrU02xFMa/XW3bxg4aGhjkrYKFpGnRdJ0GMIAiCQGNjozCsz2Qy8zo+liQJFosFNpsNNpsNJpMp715sNBqn9Q5fbpAoRswIXt2OIIjq4HQ60draOqceWOWKb16vF7Isw2Qy5ZhbGwyGotUtpyOTyWB0dBRjY2NCHCvXFD87mmypVM3hVT4jkUhZxUjKZaEVGiAWLrqu1yQNsJwiGoUwGo0VCbq8QFAtTfZlWYbRaKxq8QCCIAhifpFlGaqqwmg0iocsy+jr65u2irHb7YbH4xHPR0ZG5jSDymQywWaziXZTJe2ZQaIYMSMURRE5uosFVVWRTqfJEJdYcNjt9jkXxCpBVVU0/KMC7FQsFsusUpYYYxgfH4ff78eqVasKVpRbLiiKgo6ODvT19VVFnLDb7TQTSJRNLQTUeDwOVVVFxc9K4F6B5cIYq6m3l8ViKTsaliAIgljY2O12+Hw+IYAVIp1OY2BgIG85z3bweDw5985kMlk1+4HpsNlsqK+vh9VqXbDjh8UEiWLEjDAajWhra4PVal0wOdPFsFqtqKurgyzLGBkZQTgcLrk+r8BXaQeeIGaC1WpFW1vbor2hVcuHQNd17N69G4qiiHROSZJgMpnQ1NRUlX0sBiwWC1avXo3x8XGMjo4WjBor99pUTMgkiEJwX65qV0OdiSAGAKOjo9A0rexosVQqVZPZeU3ThLchQRAEsbjh1RadTue0fW+Px4NgMCgikLnfrcvlyonGymQy8Pv9GB0drWnwBbcxqa+vJx+wKkOiGDErFnJVM1VV0d7ejlgshr6+vmlTkpqbm2GxWEQHOBwOw+/3IxQKUXQZUTNaWloWdZizzWabcXrUVHRdz6tUtxx/e9xjrK6uruDrqVQKQ0ND8Pv9RbfhcrlgMplq1EJiqWI0GqsuimmaNuPoKp664vF4ph28SJIEt9uNYDBYlRRkSpUkCIJYWtjtdjQ3N0NV1bLWlyQJLS0tGBwchMfjyYvKSiaTGB8fx/j4+KyDKRRFQSaTKdjvVRQFHo8HHo9nQY+9FzN0VImySKfTovpbKpWCoigwmUxwuVxYsWIF/H4//H7/ghnAGo1GdHZ2QlEU7Nu3r6wOsqqqYhDJlXiHw4FMJoNoNIpoNIpIJIJYLFb251QUBYqigDFWM78WYvHidrsXveeTqqpwuVw5hvvVZKYRdLquIxwOT1uCeTGiqipaW1tRV1eHoaGhvOhXSZIWbdEBYn7RNK3qnlyzjYIdGBjAxMQEmpqaSqYD88q9zc3NCAQC6OvrK3qvliQJZrNZPDRNExGq/KHrOvx+P9LpdNWFQoIgCGLuMBgMaGpqgsvlqvieZDQa0d7enrMsmUxiaGho1jZCJpMJDocDdrsdJpNJ+O1ykY2LcuVEtRGzg0QxoixkWYaiKEgmkwiHw9B1XYhivDKc1+vF0NAQgsEgVFWFpmlilnUu0w7cbjd8Ph9UVcX4+HjJdAqenlVKmJBlGXa7XRh667qOeDyOWCwGSZIgyzJkWYYkSUgkEsJzJB6P531ug8EgqlaRQEYsFcGmvr6+ZqJYIpEAY6yizkAikUBPTw/i8TiampqKRlwtdsxmMzo7O4U5Px/M8wgXgqiUap83ZrO5KpFW8XgcPT09WLNmzbQFQiRJgsvlgqqq6O/vh6IoMBqNwkSZFwyZ7poiyzLq6upgs9mwb9++vChWgiAIYuFTaXRYKXRdx+joKEZGRopGdGVHe0mSBKfTifr6eoTDYQwPD8NqtYpx5dQ2KYqCxsZG1NfXY3x8HEajES6Xa9btJqaHRDGiLCRJEqVddV2Hrut54ZvcZ2zqAJYxhomJiZp6j/FOsNfrzenUFxLjbDYbXC4XzGYzjEZjxcq7wWCAxWKBxWLJey17FjtbPOMCGRfNgEnvoGJiIc8T58bBCyUCj6guizltksMYw8jISM22n06nkUgkyk4FTCaT6OrqEmL4wMAAVFVdMgJkIchMn6gW1Sx0UeoeVymSJKG9vb3sirnA5O9izZo1ecsZY0ilUuIhSRKMRqOIFuPrJBIJjI6OlkxTJgiCIGqPwWAQPl7pdFpE8CaTyWnHSHySZLYEg0EMDAwUjRw2Go3inpPJZJBOp0XGEDAZFVZXV1fWuFNRFIr4n2NIFCMqhkcjFGPqj12SpJrPsDY1NeWUw+XYbDYkEgmYzeackrVzwVTxjDGGUCiE4eFhIZLxizS/wPJKftkz60ajEbquz2l5X2JuWOyiWCaTQU9Pz7TFK2ZLJBIpSxTLZDLYt29f3m+lp6cHHR0dsNlstWoiQSwJrFarSB2sBI/HA7fbjZ6eHiSTyaoKYsA/PT9nQjqdRigUElHrparlGgwGMMbAGKv6ZyAIgliO8GyjqQ9+r+HFWAr9VVUVbrcbTqezYJ953759CIVCJffP+6lNTU0z6nenUin09/dPux+fzyfGwNliWDaUArlwIVGMmBOyLwKKosDtdkOSJAwPD0PTtKKphCaTqWQHltPf349YLIbm5uacfblcrgUTdsp9yux2e444JkkSLBYLUqlUwQ54MpkU61AHfWkRDAaRSqWgqipUVRVpuIuBdDqNvXv3lvX7nC0TExOQZRmapuVEc2Sj6zq6u7sLXksYY9i3bx/a29tFGjRBEPkYDAbY7fayfVIsFguamppEdPPKlSvR39+PYDA467Zw3y+Hw1F2BcpC8GI75cDFQLrfEgRBVI7RaITP54PJZIKiKDXv16bTaWEbwR+8Tz31MRNBLBAIoL+/v6Q3Nff9WijjTWJmkChGzAkulwuapkGW5ZxqdSaTCXa7HYODgwiHw2hpaUEikYAsy7Barejr6ytr0K0oyqIxIZwqjo2MjEzb+ebl4LkwQJ31pcHUtEOHw5Fn5rlQ4YPnuUjvjcfj6O3tBTBppt3R0SEix9LpNPx+PyYmJkr69DHG0N3dTcIYseBhjGFsbAySJIlCLXzmvK6uruYRph6PB9FotKS5PPc9mXrf5SkfsxXFvF4vvF5vVT4r9w0tN2LdZDLRPZYgCKICJEmC1+tFfX39nGZBrFy5siZjv0wmg4GBgWnT5xVFQUdHh5gYIhYvElvkZkXBYBBOpxOBQGBJe8YsB6Z6kY2Pj5flQ2a1WtHa2lqVfPH5Ip1OIxKJIBKJiI47T+EAJi/O/MEYg6qqYpBELC1Wr15dtn/WQiAej6O/v39OB5EGgwE+nw+RSGTacPapSJKEtrY2ul8QCxLGGPr7+/MKV3BPrbkSdPlEzMTEBILBoJjE0jQNZrMZLperpL9Xb2/vrLy4Vq1aVdVBBq8kmUwmMTo6WnJdPmlHEARBTI/dbkdTU9OSKfATjUbR09MzbdVhVVWxatWqgmmSxMKgEp2IvkViwTBV6S/lU2QwGOB0OuF2u2E2m5HJZDAxMYF4PA5FUWCz2RaVas8j3ZxOZ8n1otEo9uzZg1QqVTLtlFi8jIyMoK2tbb6bUTYmkwkrVqzAwMAAxsfH52Sfuq5jcHBwRu9ljJHHGLFgGRwcnHdBjO+TV5bmZeErmY33+XwIBAIzEpd4VehqYjAY4PF4MDo6CpPJJCIZkslkngchFwDnIjWcIAhisaKqKpqamhb1JGMymUQ0GkUymUQymcwpiDYdi90XmMiFRDFiQZJIJBCJRHKWybIsStjabDbIsoxQKISenp68VI2RkRGsWrWqqpW0FgIWiwUulwt+v18UEKhGuXti4RAIBODxeBZVRUFJktDU1CQKSCx0eCplZ2fnjM27CaLaJJNJjI2N5S232WwIh8MYHx/P8TVpbm6ek6jS6Tr+uq4jHA7D7/ejqakJqqrCaDTC4/EU/DzTYTabZ5wOo+s6QqEQ/H4/JElCa2trTvsLGe2bzWaRogpMTlKRIEYQBFEYSZJQX19ftRT3+WRoaKhsD82pJBIJvP3221BVFSaTCS0tLRQ1toihb45YUCSTSQwODuaJXLIsY+3atXnpGoX8uNxuN3w+36JOpyxFQ0MDQqEQMpkMYrEYGQIvQfr7+7FixQpRbjqZTELXdVHNtFTa0nzBo1l27txZ0pB0oaDrOvbt24eVK1cuOfGcWJwU65gXShHm/pLzRTqdFo/BwUFRNKalpUWs4/P5EAqFKq4+PVOhOpPJYPfu3Tn727dvHzo6OkRVyamTbQDyJpYymQzMZjPdVwmCIKZgs9nQ1NS0JPpNoVCoKtXTU6kUUqnUovC1JopDohixIEin05iYmMDo6GjOgJqbeXs8noJCQGNjIwYGBpDJZOB2u+FyuZasGMZRVRVr1qzB4OAg/H4/otEoCWNLDD77VAxN02CxWGC1WmG32xeMSKYoCkwmU8GB50Ikk8lgaGho0RQ3IJY2lcxWz2dhmYmJiYLVHJubm3OuRbIso62tDXv27KkojXKmFbz6+vryBLhIJIKdO3dCURToul6WYF/uegRBEMsFRVHQ3NwMu92+6MUfXdcxNDQ0o0jmYkiStOij5pY7JIoR80o8HsfY2Bj8fn9Op5n7a9lstpIXGYvFgpUrVwLI9yRbyiiKgtbWVrhcLmFybrFYEIvFyCB4GZBIJJBIJDAxMQFJkoS/3kJIuVwoAl05SJKEhoaG+W4GQQAA6urqCopNU7Hb7WhsbJyDFuWTTqeLFsCZmJiAwWCAw+EQ92Oz2Swmr8qhrq5uRimhuq4XrXjJZ/ErIZFIQFXVit9HEASx1Kirq4PP51tU/btS+P3+qgpiwOS4bDmNQ5ciJIoR8wJjDKOjoxgaGsp7zefzwefzlb2t5XwRstlsWLVqFd5++21Eo1FIkiT8UcgTZXnAGIPf74ff74fL5UJjY+O8eRoEg8GiA9OFiMFgQDAYhNvtJh8IYt5xu91IJBIlqyPa7Xa0tbXN24y0rutFJ164MJVtuswYg9PphN/vL+h/6XQ6cyorV3Lvz4YxBoPBAE3TIEmSiPSaWiCAe4epqop0Ol0ytZNXUiNhjCCI5YjZbEZLS8uiqoheDjP1ECuEyWSqSXEYYu6hUQAxJ8RiMQQCAeFBkkql8ionchN5t9s9T61cnMiyDJvNhlAoBMaYGHjIsgxVVUkcW0b4/X6EQiHYbDbhP8Zv2LUmFouht7e35vupJjx9cnh4GC6Xa8ZRKgRRLbgQI0lSQfGJMYa+vj7Isgyv1zvndgHFriUOhwNtbW2QJAmRSASRSATRaBSxWAyqqsLpdOaJYl6vt2qRmpIkQdf1sgvPcKFLVVUoiiLepygKjEYjUqmUSAOXZRlGoxGxWAyyLJcUBgmCIBY7siyjoaEBbrd7yQUeZF/bZ4vdbkdHR0dVtkXMPySKETUlHo9jeHg4J3rEaDSK9A8+Q2y328VggKgcj8eDaDSa44OSyWSWhBEmURmZTAaBQEDMhBkMBrhcLng8npoIPplMBsPDw1UPRZ9LGGOYmJjAxMQEPB4PGhoalkyaALG4MBgM8Hq9cLvd2LVrF3Rdz3k92xQ4Ho9jxYoVczpoMRgMeYKdzWYTghgAjI2N5dzzM5lMTronj2ieaVRYsXZZrdaKBzs8tdJoNELXdTFxlw0vamMwGMQ9VtM0yLJMXp4EQSwp5jvjoNZUM0qsmvcwYv5Zmmc8Ma8kk0kEg0GEQiHRQdU0DU6nEw6HgyIxaoDdbsd+++2HcDiM0dFRkUpJZsGErusYHx/H+Pg4TCYTZFkWA1uDwQCDwQBFUaAoCsxmM8xmc9nbDYVCGBwcXFLpRePj4wgGg6ivr4fJZIKmaeQVQVSdVCqFeDwOXdehKIrwA3Q4HDAYDBgZGckTxKYSjUYxPDw8p754sizneYRN/f03NzdDURSMj48DmBw42Gw2rFu3Tlx7qgm3CzAajchkMkilUhXf+8ox18/+PhKJBJkqL2IsFos4TxRFEfdCAOJ3SRDLCU3T0NzcvCC8aWtJtX7bBoOBJk+XGCSKEVWBMYZQKISxsTEhhBkMBng8Hrjd7rIH2sTM4QbHdrsdo6Oj8Pv9eSmqxPJmulTapqamkr/VZDKJUCgkBO+lmkKUTqcxODgonnOvIp7eTYNhYqYwxjA+Po7BwUEoiiIEpall7o1GIzRNQzKZLPk7GxkZgcVigd1un5P2A5ORyaFQSAwuGGOIRqNiMMWrlNXV1cHv98Pr9QKovAhHOp1GOBwWfi1GozFHUONeitFoNG+gYzAYYDKZpo3kUlUVsizPyGagnO0T84ssy1AURZx7uq4jlUrlfG9TfeWomjex3PD5fKivr18WfZtqiX6MMYyNjaGxsZEmTZcIJIoRs4Yxht7eXui6DovFArfbDU3ToGnasrjALjQkSYLb7S5YxIAgSlEqilPXdQwODi4qI/1qwb2KYrEYxsbGsHr1arq2ERUTiUQwMDAgBJhsUSwcDmPnzp1YuXIlLBaLqMDMGEMqlUI4HMbAwEBBgaynpwcOhwM2mw0ul6vmn4P7d2ULByMjI4jH47BarcLsXtM0NDQ0iKiq6fzP+Da56D5VqFIUBe3t7QAm+x3Dw8NFjfJ1XS8rIiDbT6xSYrEYjEZjSbN+Ym7hYij3ruUWHZVQjckeWZYpUp9YNAwPD2N0dFSIyHa7fdapgYyxBSkWmc3mop6d06GqKux2O+x2O6xWK/UDlxgkihGzRpIktLW1zXczlh3BYBBms1mkfRiNRuEBIMsy6uvrS1YxI4iplLrBGwwGtLW1YWxsLCeKarmRTCbh9/vh8XjmuynEIiGZTGJoaCjPy4SnbnEPK6fTmRepKUkSjEYjPB4PjEYjuru788QeXddF1JSiKLDZbLX9QJislJktioXDYeF31tnZCVmWEYvFEA6HhZButVqF2Mcjd9LptIg+DYfDJYWsdDqNPXv25C3nqW9TBzqpVEpMzk0VvqrhCcYYQzqdhslkooI2NYanKmV/18Dkd8AYE/2gTCYz6yivWCwGi8UCxhiSySR0XRcFa7gHXSGyizQs1ShqYunCJxJSqZQQ/LMnWXRdx9DQEDKZjPg91tXVFfQeSyQS2Lt3L1auXDnnxWCmw2AwwGKxVOw/abVa0dnZuSCFPqI6kChGEIsQxhh6enpyOl5r164V/0uShMbGRrhcLgwMDFSt0gqxtAmFQiXTJyVJQl1dHUZHR/PMqJcTo6OjMJvNFA1LTEsikcCuXbsKDpJ5hBFPz21ubi7Z4bbZbLDb7SWNggcHB7Fq1aqqdtwZY0Jw4IJEqYjRvXv3FlzOq1KOjIygoaEBoVAIwWBw1gJCqagwHq3DRQ4ABatfz2bf8XicUu5qhMlkEhFfc+nzNfW75KLq1IJQvGhEJpNBIpEQ90U+8KZzglis9PX1we/3iyrmw8PDeeK/3+9HW1sbLBZLznJN02C323PS5xcSMynKYrfbSRBb4pAoRhCLEEmS4HK5MDExAWCyo1aoeqfJZEJnZycGBwcXdXVAYm4IBoPThsxLkgSHwyFMtJcjyWQSu3fvBjAZ3dPa2kqdJaIgRqMRJpOpZIoeT89Np9M5vls8ZZfPysuyPG1HPh6PIxAIzCqNkkdvpVIpGAwGpFIpcf/gUQGzEcVTqRQGBwfnVFhPp9M1TXPkxW3MZjMJIVUku+LnQoAxJgQAXuCh0PfNU4F5v4xSbJc3kiRBVdW8QiOZTGbBnhuMsZwI4EKkUil0dXWhoaEBdXV1kCQJiUQCIyMj8Pv90DQN9fX1C65/NBNfMYfDUYOWEAsJEsUIYpHS3NwMs9mMgYGBkhd4LmKQKEZMB+/gT531m4rT6VzWolg2gUAAFosFdXV1890UYgEiSRJ8Ph/27ds37bo83Y8zNjYGv99f8T4HBwdhs9kKprUUI5PJYGJiAsFgMG+Qnz3hUk0hy2AwzFn0Ty0HZdnXS6paWF34/WihCI2l0icLkUwmhSCylKo0E9PDvRV5pGMp8YvbnzDGZuxxOF8wxjA4OIhoNIrW1lbs3LlTvJZIJBCPxxdcsbVyfMV4BLemaaLQC7G0IVGMIBYpkiTB4/FAkiSMjo4imUwWvWibzWbqlBFl0dfXh1WrVpVMC7RYLDleSMsdOg5EKSwWy7QCkMfjyfMCm+n1mntv8RRfTdPgcDhKCkPDw8NFJ05qUXZ+riOAah2NsVBEm6WEqqpQVXVBRYrNBO57Rub7y4dKhdxkMimuUbIsQ9O0RXdNCQaDBe9Zfr9/wYliBoMBNpsNoVCo4OvNzc1wu90LLsKNqC1khkIQixy32436+nrs3bu3qE+KwWDA2rVrsXLlStTX1y8440ti4cBD36ejkiiUpQ5FhxDFYIyhr6+v5Dlis9nQ1NSUt7y9vX3Gg4lkMolAIIDh4WEMDAyU7NzH4/GSkcS1GBgkk8mS1W6ricViqenghkz2a4OiKIhGo1Xzf5tPeGo0DbKXB9FodMbXbl4sYrqI/YVIoQnChTppaLfbi7423SQSsTShUQ1BLAHcbjfMZjMSiQSMRmPBi7kkSbBYLMI0s7e3dx5aSiwGRkZGYDabi3oohMNhGgj+A14dkCAKMTY2VtSUPrsaY/Y1W9d1hMNh4es1W0p1/hljGBgYKPq6wWCo2W89FovNSfRMKpWqiXDNf/u8IqKu60in05AkSfxvMpmQSCSoGmEFqKoKRVEWXRrZdHAheLncO+cyPXohMltRJZFILKpjWGyyfaEWIyp2XzSbzTTpu0yhb50glggmk6nsmfel1tkkqk93dzccDgeamppyOjuMMQwNDc1jyxYObrcbXq+XRDGiILquI5PJwOl0IpVKIZ1OQ1VVOJ1OOByOoh1vXdfR399flRl2n89XsvpXMBgsaN7PPW54Vb1aMRcDvlQqJdK9LRYLdF0XIpUkSeLBGBPfUznIsjztsYnH49A0bdFHO6mqKo4TJ5lM1kTsW8oRGtxfaan3wXj6oKZpkGUZsVhsWQnDfJJ6NmQymQXlp1cKSZLQ3t4uigksBiFPVdU8kdpkMqGlpWUeW0XMJySKEcQyxOVykfE+MS3BYBDhcBhNTU1wuVxIJBIYHR1dNjPdhdA0DTabDW63G/F4HL29vUgkEli5cmWOSTpBGAwGNDQ0VPw+RVGwevVqJBIJpFIpJJNJBIPBGf3uJiYm4PF48gS4dDqN8fFxjI6OQpIkaJomosK4aDQXg7G5qtZoNBpFWtJ0yLIsqsRlH7dMJpMjoJX7fdTCk22uMJvNSKfTRSMWeYpYIpGo2kB4qrdSIpFYUl5csVgsR+xYav6c2Z8tWxhSFEVU0WWMlTyvFjPVFLIWWqGJYrS0tIhrQUNDQ070cSgUgq7rCzJirL6+Hr29vaIgzkKslEnMHTUVxW688UZ87Wtfy1m233774e233wYwOWNy1VVX4aGHHkIikcCJJ56IO++8c0adSIIgysdsNqOuro6EMWJadF1HX18fhoeHl2QHdjosFgtsNhssFgvMZjNkWUYymcTevXvF4K25uZkEMaKqKIoCXdcxMjKCSCQyoygLSZLgcrlgMBiQTCYRjUaF19jUKAYu8MiyPCeRLLIsw2g0Qtd1GI3GmhvhVxLVlMlkhAhTjXbF43Fha6Dr+qK4jppMJui6Pu15kP26yWQS51ohkUdV1RyBkB+PYhE1XMRcipFVXOzgVQmLCYCyLENVVaTT6UUhnJUSuQt9hrn47c8ltRCwotHogi6UpWkaXC6XeO7xeDAxMSHuKel0GqFQCE6nc55aWByn04loNIq6ujrqwxG1jxQ74IAD8Oyzz/5zh1mzbldeeSWefPJJPPzww3A6nbjsssvwr//6r9i+fXutm0UQy5ZgMAhFUVBfXw9ZlhGNRhGNRqse7rzmgx+EPDFR9PWMxYKdL79c1X02bNkCx5NPQg4EAADMYABTFBgYQ8rjwfgFF2Di3HOLvn/lSSfB2NdX8DXdYkHXL36BVGtrVdu8WFioHbJaIcsyGhsb4XK5cmYOE4kEurq6ROe+rq4OHo9nvppJLFH8fj/6+/vzrstTo0oURREVJvlMPGNMVCc2Go0Ih8PYu3cvgMnoNZ5qXyjSKZPJIBaLQVVVkf5ZTSwWCxhjSCQSOUIHN5WuVbomT52cj4gLXdfFwH+hp1pzj7SZRCVmv4enzSWTSXEu8cjHqSiKAqPRiEQiISKJgH+mUS4l0SSbaDQqog6zoxi5DUYymcwRaGvpR8a/A8bYrATISvuRyWRy0aTbTYfJZKrZ9UVRlAXbB5sahSxJEmw2W865OjY2tiDN6yVJQnNz83w3g1gg1FwUUxQFjY2NecsDgQB+9KMf4cEHH8QxxxwDANi2bRvWrVuHl156Cf/f//f/1bppBLEsGRsbQyQSgSRJMJlMsFqtcLlcIpw9EokgHA7nva/+P/4Dnp/8BIZCHSZFQeCUUzBw880AgHUbNkxb2laORrFuwwbsePPNKnwqYO0HPwh1qgin6wBPxRgaQvO3vgXX44+j62c/y3v/dG2Wo1GsOflk9N52G4LHHz9te9YccgjkIjO7GUXBzldfRfvmzbD83/8V3UYGwM4qHZ/lwlTfG2BSJKgk0qaQlxrfTk9PjxAlLBZLwfsbQcyUTCaD/v5+BAIByLIsRDBJktDU1CTSdhljQniYDr/fL/7XdV0M3EqJRNUcgPEBdzqdLro/vpx/Ju5Nk06nqyKKaJq2IFLwuNm6wWBAKpVCKpUShv3z4TvGjws/x6olQGV/lukinLIjiLIFxOVAoftSMeErHo9XVdjlvoH8N8a/A4PBIKJm+L203H0mEomKPfT4vvh1bSo87dJgMIAxJqItl5NH2VwVJZkJhe5BU0XOaDSKUChUtHgTQSwEai6K7dy5E83NzTCZTDjssMOwZcsWtLe3469//StSqRSOO+44se7++++P9vZ2/OlPfyoqiiUSiZyLbbGqTgRBFKalpQVdXV1IpVKIxWJ5s4I+nw8ejwcDAwNiYLT6pJOgFYmgAgCk0/A8/jgczz4LXdOmFcQ4BgBr/uVfCkaMrdmwAaWGe8mWFuz5zW8ATEaI5QliRbC89RbcP/1pTsTYypNOKqvNEoDWL34RkQMOwL6HHiq63rQCWzpdnnD4j21VSzhcqtjtdjQ1NUFRlDxRTNd1MRvPPUz4IIwPSBVFgaIooupZsWiObD81WZZRV1eHoaEh2Gw2WK3WBTcLSiw+QqEQEomE8DfhURSMMTH44N4t05FOpxEMBhH4R+TsVKLRKEwmE9LptNgHH2harVZEo9GqDDxVVa1oUA1AtEdRFJhMJhFdVikGgwFGo3FB+SBmt4V/v7xyNK9aORcoiiLSSnkq33wXBFhOQsdM4NFlJpOpoqIQ2WT/ngoJkIXSZvm9MZPJCGFqqkDDxexKf2uFUnAL3a+nYjabRfppNeDHhV93uL9iue+t9e9W07QF6S1WSBQr9DseHByEzWZbkN5iBAEAEqvhHeipp55COBzGfvvth4GBAXzta19DX18f/va3v+FXv/oVLrjggrwb8Pvf/34cffTRuOWWWwpus5BPGTAZeUYKNEGUD+8ADw0N5VUf83q9qK+vRyAQQOa661B/553lbxfIE7MMiP9jaQY6THnr6xYLAqefjqGvfAVAeZFmAKAD2PHmm1i7YQOmFoMutc+UyYR3X3lFPN+/gABX6v0AoEsSdrzxBgDA/dOfwvftb0P6Rweq2rbKaQCZhgbIo6OQsjuiioLYunXo//a3l21aZ11dHRobGwsKUrquY2hoCIFAAJqmwWw2w2w2w263V9wxSyQS2LVrl+jsZc/a2mw2tLe3U2ePmFN4mmN2+goXwniRjErgqZU8gqlaXk7VSvuqtD08FW+xRR5xYZ+nMvLoqWqnmC01P6flBp/I4fc+noZZ7Du1WCzit10NDAZDjk9cJSJSNTGZTLP6fRQT13jEXLZQxgVBfj2zWCxVi2adDv59V1MIrAatra05nmIA0NPTU3AyprGxEfX19XPUMoKYDJ5yOp1l6UQ1FcWm4vf70dHRgdtuuw1ms3lGolihSLG2tjYSxQhihvAqZBMTEzmdJafTifr6emgWC6bKDdOJXHLOumkgR+LSoRcJUk253WATE6jEdSXW0gJjX19F+8wAeDsr+mqqKFZumzMAdJcLalZ6UiGmE9jKXacYOoC+MtM6lwKSJMFut8PtdsNut0+7fjKZxNjYGMLhsPCtcblcqKurK8vjhzGGrq6uorO0iqLAbrfDbrcjGo0iEomI5yaTiSLIiJoQCoXQ3d0Nl8sFs9k8IyGsEJIkwWw2Q5KkqkWLWSyWWVUR5IIdH/griiJM2CVJQiaTEYNzPuGzlAzaq+0ntRgq2hGVI8uy+D1k+wwutQqeU+Epljxai4tX2WRX2QUgojLLifCa+vvj1Wnn85gajUbIslyyWMVcsP/+++f5iu3cuVO0KdszzmAwYO3atXnrE0StqEQUm9Oz0uVyYe3atdi1axeOP/54JJNJ+P3+HIV5aGiopEcLN5QlCKI6KIoCn88Hr9eLsbExDA4OApiMvgwEAtgfpUQuGQakcwSj3HXjQF7MlwEGxAsKP+rEBAp1MUoJRlON8cvdJzezLbyv8tosA5CnFcRKH69i6wDpssUxA4Dma65B7IknlnTEmKqqaGhogN1uz5mdnpiYyDEl5gOCxsZGmM1mGI1GNDU1AYDwNeITLNOJYowxDA0NlRxAptNpTExMYCIrhTcWi2F8fBz77bdfFT45QeRjtVoBIO/cmy2MMXG+82gJHr2UHSVRCdFoVAhb2e/nA9VSg1PurZb9G+SREsVEL17tkSjMfKdJErVDlmUwxhZUynCtKXT9kCRJeBPydNGZHBNJkvK2vRAKA2RHi1kslnmJ1DObzXkCVzKZzLm+rF69GgaDQRT1CofDeZFlBLEQmFNRLBwOY/fu3TjvvPOwceNGqKqK5557DmeeeSYA4J133kF3dzcOO+ywuWwWQRCYvPHX19fDaDQiFAohHA7nhdlXKnIVTySUYUAK5URFlSMqlbvPbIp3joq931jGvnMFPL5k6hrZx6vYMS22v2ICoZzJwPnEExi95JKS7VusaJqGzs5OUcmMCwGlyr/v3r0bbW1tOaXAFUUpO6o4mUyit7d3xhEVHo9HRKZNNe0niOngE4dcwE2lUlBVFZqmwWg0ir+1FDimimDFJhPK3Vb2NrhvGN8+9xMCJqO9sgezpT5jtmDHmSqiLWZqUXWQp2ERSwdVVXO892pZrXIxwBirSpqhyWRa8BGnfNJhrqNjbTZb3rLsa7XdbhcTjw6HgzK6iAVNTUWxq6++Gps2bUJHRwf6+/txww03QJZlnHPOOXA6nbjooovwxS9+ER6PBw6HA5dffjkOO+wwqjxJEPMIv3ExxjA+Pj7l1dKCU64gpCBf7Jm6ndIiV+UiHFDY1YwvL4di7+f7Li7mTRXwJhMbCyEX+b/Q/rIFtNICoe1//3dJimIWiwXt7e2iMp/f7592RtRgMKC5uTlHEKuUYkbE5TI6Oorh4WE0NDTA6/XOeDvE8iSRSGB4eDhnWSaTmbeB7mxT7iwWC2Kx/5+9P42Rpc3POuHrjj0i9632OnXqLM/TjWhjbGOLAXo8GNw2rwCjBnnhA/IHS/AaNNigAX9g++QZsKCZEYwHaSxbsg3WjG0xgNwzuHlxY4THy3jpaftZzlJVp9asJSu3yMxY3w/53FG5RGZG7llV/59Uep6TS8SdkRGRcV9x/a9/Y2A5ZufnUlV15OSOB47zZfJuesBkTg5ZlgNhgTE2dKyLpNVqBc1CZsFjF0seEryRBO8g2rmPtFotKpOdkvtUgj1Okw5eeskYmzhnjsdQ9NLpHMvlcmMvlyCWxVxFsePjY3z3d383rq+vUSgU8Ef/6B/Fr/zKrwSTg3/yT/4JBEHA5z//ebRaLXzuc5/DPx8j0JsgiPnBGEOtVkM0SYGFCEJRmcxpNggP2oBMsGgOh/D39667X5Aa7PgKo7OsZ5gIB3QLjsMFQu33fg+f+sxnBi7JzWTw8Ze/PGRdqwcPsa9Wqzg+Po48MXz+/PlUpfae58E0zancFHxiXqlUkM/nqZyLGAuef7MKpTrA9CVD44hMjuOETugNwwjca77vd01YLcvqErF5l04uKPE/7mTg5VWSJAVj61wmF9146c+ymKUgBrTFR13Xg21I3F9EURwocPIyaH4embRbJdEPz11cVMh+VGzbHih667oe5I/xMauqOpEgJkkSnj59GnqNxV3xqqoGJf4EcR9YaND+PBgnQI0giPGwLAuCqgaSTVuYGScGvxcP4UKRC++T/pGdEtHg9VldIlfYUoflkFmKgo9/4zcADO50Ge2z3gXwtx1k44iBFoa76e5e1xbqBi3/bttFwQPQedL3NA31P/JHcPKFL0RexqJIp9PY2trC5eUlLi8vx3rv/v7+VBdktm3j4OCgazINIHCRiKI4cKKRSCTgeV5XV9e9vb1ITQEIohMu0tTrddTrdZimuTSRjHdi4yWOfP/vnFR1CjhccOJuhGET+E46Q/55phl3QUQRqfmE1bKsUBGAd8wbNJawSeUiHTeiKAaT1V73zyzhzjigv0yWuB+M20GUf+eDjg2iG97x0XGc4Dcf6O60yfMLVyWnj4+5k0GC6CQdaCVJwv7+/sCbjp7n4Xd/93chyzL29/cjNTMiiHmxskH7BEHcI77t26D83/83On9Gc7jFNdamWOggAehuotMp+0R1fYUtdZgzrPLn/zwA4Nm3fdvAEY12jLXXfOfUGuX46kUcsez2KO4+x/Cy0KjdK3vXKDabSH/pS0h8/dfjg0+EwlVgc3MT6XQa7969g+M4QRi3oiiRHA7VanUqUUyWZbx8+XLk63huydnZGer1OjY2NpDNZlEsFrtEsVVx+xD3C8YYDMOAYRgoFApwHAcnJyeoVqsLWT+fCHY6rHrRNC04NrlwFFaWE9WRwAUxoH3cjFu+pGnaUAFrVLmQZVmQZblv7IsqO+TbkQemz4vO7cAbHqzKxJ64g4vCYfusJEljiRr8O5dleeYOxIdIZ4D/oHMG3/6rUqoataPmJKWhUYSuzu11cHCA/f19ylQl7gWjZmQEQTxGZBn4P/9P4Pa2S4b5NL4yxUIHiQLDSxvbTiwLbfHHAuB/IgBNhp3N4uKHfghAf+dKoC0uCbA/Ebs61z0I8ZNxahj8GcfBBf+s3VlrYfcwvA7xTvlkLO2A/vZnsCNvK9GysP3X//qUY58eURSxu7sLRVHw5s0bOI6DRqMRtJRvNBpBO/RhVCoV+L4Px3EiT2QnuXPu+z6ur69h2zaePXuGXC4HxliXIKaqKjmZiZkgSRKePHkSdFOdJ7xz26iyK348dk6wNE2DYRhBCWNURFGcKsNnFhlAvAFAZzaObdtzFRB0Xcfa2hq2trawvr6O58+fY319fW7r68X3/aFCoaZpyOVyY3+fxHQIghA02QDagqmu6zAMY6T4OwzbtsnBM2NM04RhGMseRiQmOU9KkoRnz56N3G86zyOWZeHg4IBcicS9gJxiBEF0823fBgz4Afsy/uQQ91RvEeOgUslewtfV63y6E34AnunVLgQc3cGSj+bme74nEMTC1zk4yH7w5+4UzBzcubnYgNfz0Qx2fvU74cLyxNrrG51l1vs5BjvKEl/60oDxTseL/+a/gXR1NfB5e30dr3/xFwG0J6Tv3r1D5qd+Cnv/y/8C4fa2XbIoCPAlCa1PfQrFH/gBNL/xG4dOUi3LQr1ex/X1NVqtFp4/fw5RHOzkK5VKaLVa2NjYGOuz8UD/XvL5PKrVKhzHQTabpTwxYmYwxgLx9fT0dC7rkCQpcuken5jzksVeYUtV1cD15DhOn/jCyyWBu66Tkwhb3EU6CxzHCTKDOK1Wq2sy2dkBtFQqRXaDCoKARCIRuPDi8ThisRg8z8Pl5WVwzlo0oih2fQZZlpFMJpFOp7vEMF7Gyh2EH3300cLH+ljoFb5mmV81SZYU0X2+8n0/OGZEUXzQHV0LhcJYji9RFBGLxVCpVHB7e4t8Pj/H0RHE9FCmGEEQ3fRM3lnkjpL8Yo2/NupdyP5MrLCSyeECm4dBHSx7R/jxV9put/Uf+RHkf+InOtY5OL+sTdhz3hDRbNiYrQHlmR4Ap0usGl7CyS/AopRt8slObynq3XZzAXzwlWncgG1efu3XQvzk4nCYNNg7Ov5jNOo9fscff+/bX/gF2Ds7Xa9LJBJYX1/H1dUVqtUqJEmCoijwfR/xeDwQFqrVKg4PD5FIJPDkyRMSsIh7w83NzVyEsc5OjIMEKlEUgzwdAJFzigzDgG3bEAShKyeMr9NxnKAsLMryeO5Yq9WaaZkyL5cUBCHIIQPaIqAsy3jx4kXwWLFYRK1WCxytYYiiiLW1NaTT6YECfa1Ww7t375Y2uVYUBWtra4jFYpEnwK9fv743HfruG1ycngf3qbPiKmAYxoPIYpukbFZRFLx48SLIVBuG67r44IMPsL+/D13XcX19DVEUkclkJh0yQUwMZYoRBDETWOSOkl7Ha8bN1uq++B+vi+Pd8zzba5gTio/K+PVf7xLEup/tZdhn8ScYszdAEOPvUQJn12CHWOfYok4Cw9sJdHavnEYKMn7917H13/13kC8vJ6rLH+c9DN1jFQG8/PZvx/E//seo/Mk/GTxerVbRaDSQyWSwv78Py7JQq9Wgqiqy2WzQnevo6Ch4/evXr7G7uztV50qCWBTZbBatVgvX19czXW5n3lRnlpau60HYPi9nnnT5vXRmiVmWFeSpdY5FUZRAMPN9PxDR5jG55xPAXrcOYww7Oztdwtba2hrW1tYCN1yr1cL5+XmXc02WZeRyuaHrdF13qW6TQqGAdDq9tPUTd1DG2+qwKnlhs0DX9bE+i67r2NvbiySIAW3xf39/PyglzefzlF1H3AtIFCMIIhQ2UpDppC3mtBlHqAnLExtHUOt+37Dyx052v/d7u/49PHcrisg36Pn+ktJoYpfQIe6NYtpoyLt1CACSv/ALqHz7t4+1hPUf+RHkfuInIolqURsCjPseBmD7B38QjR7HmOM4QfdKXvZQq9VwcXHR5ypRFAWFQoGyVoh7RdTJyqRw8WmS0HsOF6I9z0Or1QqC5BljcBwnNMSei9ZA+zPy13dO6HgZ3zxKl1zXhaqqXesTBAF7e3tDm3i0Wi2Uy+U+4c+2bbRarYGCe7lcxrt372Yz+IgIgoBsNgtN06Cq6tiZYb7vT1Wy2tvQgLhj3sf1Qy71mwWdXRwfiiAmy/JYnyWZTGJnZ2esfdH3/b7zCLnvifsAiWIEQQxgUnEKaMsrw8oHeZi82OVUuntuknWHFd0JIcvvdhkNL0/0etxnvbgd/w17XkC7/LJX0Iny+RRMFtwfNcstnPh//I9jiWLhrrs7hIHlt1zE7C0X7dzWg98TJpIxAMlGA3YyGbRI75ywDZrQa5qGbDaLTCZDF2/EvWPe5Ty8k+SkrK+vI5/PB8fW69evg3B+XirZeZwyxiBJEjzPCybunucFInZv2ZfneVBVFbIsz7Q7ZKvVChoGuK4LURSxsbExNEy7Xq/j7Ows1OHjui4+/vhjGIYRZBE9efIE9Xodpmni9vZ2ZmOPAmNspMDXieM4qFQqaDabQUdgSZLGcoHwfDnP82BZFmzbhiiKUFUVjUbj0TtK+PaZl/uxE8/zgtw8EibbKIoCURSD5iL3uVSSl6N7nteVAxiVQqGAtbW1sa+JSqUSms0mNjc36XqKuFeQKEYQxB3f+I0d/5hUnOL4GCzQMPSG5nNH1+CsrdEllOEM/gyjHVt87eFj4oLM4HLI9vo7M9PG65w5aSFiWH7YILovWtS3b0Nftfdd3wX9q1+NOAIubHUKlYNEQ6WjaUKvsDn4Pfx5AQ78T/YdBmAzl0OjUMDl5eXACbIkSYjH48FfZ5c5grhvzHviNm24d2+32FQqBQDI5XKo1Wo4PDwE0C5RchwHnucFk3RRFPuyrcImWlyECnOcTQPPFGOMQdd1aNpwd2s8HsfLly9h2zZOT09RrVb7ntd1HaqqBu4sXta9SMYVxIC2W2aS/DouKrZarYFioWmaEAQBuq4PzWV7aHCB1XEcWJa10HLJXtFHkqSg+QM/xh6KQ6oT7mJijAXirCiKkCTpQWSs8XNms9nsEzuj7l/b29sTZ4Dd3t7CNE04jjO2y4wglgnNBAiCuOPXfi34Xx9aT6bYuLj4DH4HX8E3hDw33NF1V2LIHUZA9OD+/nFwRACf+vqv73hulOh3N67eMfWX8XV2xwxf/3BX2iwZZx3d217/vd9D5qd+CqW/+BeDV3z6M58Zo5B2ks84zTYRwDrGf/3lL+M8m+17laqqyGQySCQSXeHgBHHfmbcoNm1Xx95SGp6rxRhDLBYL8nr4JL2zrDksY2uYU8vzPGiaFuSezWKSm06nx3Y9SJIUTEB5yHQ2mw0tzU4kEnj58iUuLy9Dyy7nwebmJuLx+MjXOY4D0zQhSdLE4+Ils1Fex0WY3iy5hwoXC1eBMGcUd/E9FHFsUDZYpxB/34l6vIUhCAKePHkS6dwQBj9fAO2A84ODAzx58oRuPBL3AtpLCYKYA3cuKgE2usWnQa6vboGqV3SKJraEZXj1hO1bVkdRYrS8sDthbLBLYLBbrNMJtap3zO62AQOw9d//98j/2I/h4y99CXvf9V1jCGLj5NDNko7v8Dd/E/iO7wj+mUwmkcvlYBgGCWHEg2QRk7nO7CdRFIMOiqVSaeT6b25uuoSszuNQEATs7Ozg448/hmVZUBQFtm0PLaMb9lynq22YeDYOk5w7GGN48eIFTNOEYRgj3RK8NHN9fR2NRgO3t7e4ubmZZthDuby8RCKRGNlh0vd9nJ2dLVww6BTHHoogcx/hLr7Ozs332U31GMpzeabXuN+TLMvY29sb6YYdRu86TdPERx99FNwU4HmKvBQ7G3IDkyCWBYliBEG0+fznu/45XtB+L3cXHh5k/AH8Kl7jPTzHR/gKvgajHFVh9LvHOrOm2q/of01YZtndu4aXPXJEDAvt72aQW2zS7ThOGeQ09E/4lGIRn/7MZxB2Cdmf+zVNme0suNt3Yp+4HWVZxtbWFhKJxLIGRRBzh+c7zXsdwF3w9JMnTwIxpVAooF6vo1ar4fr6OnTSybOy1tfXQ0UYWZaxvr6O8/NzWJYFXdfRbDYHTmAbjcZIsYQxhmazCVVVg46QvY01OLwBh+u6QSmVLMvBBG9ScU0QhLEdF7zjpmEYyGQyODk5mWk5KMe2bRwcHGB/f3+oi0OWZbz33nsoFou4vLycaF3T3IwwTXOiCf59gefWzeM7niWdLrL7MN5BNBqNuTTlWDXGPeZ4h8lpHV2DXHjX19e4vr4OMhrL5TJ836ccV2KlIFGMIIg2P/dzPQ9MI3R0X3D8Nu6yytrOsTDu1sff3Zswdec+C8v3kvq6T/L/DhO0uoW0sLD+u5FzgW1wGeUsxSEPdzlbk7wXGKd7qIAmNlHEZ/Bb+CL+zMB392/7ZQtiHnxogXgnNpvI5XJYW1uDKC57bATRTb1eD8QFRVGCsPJOBEEIguOHTRgcxwnyuOZNJpNBOp2GrutdrifGWJDN12q1+jK0OLe3tyiXy8jn833hzYwx5PN5yLKMk5MTNBqNQMwKyzOTJGnkpNb3faiq2jV5lyQpyEvif2GB5lwAYIwhl8strRutrut4/vw5Li8vA9fYLAXQVquFk5MT7O3tDX0dYwyFQgGlUmkpweONRgOapsF1XUiS1LXvcOG087+rUo4YlUFi7apyn91WhmHcu/1jEsb5juLxOHZ3d2dyvTRKvG42m13nZMuyBnbjJYhFQ6IYQRADmPTuTX/JIme4K6t7klP6nu9B/qd/OmQZYQ42YUTpXngXyvAxcTEq7AJB7BPeugW3WbqmpsvZGh8FZ9jBGXagwISFfnfE8sojw/AAOPA/+U753qr8sT+Gzc3NpY2KIMIwTRMXFxeo1+uR38MYC7qHcRGIizlANHFoGIqiBK4kTdNg2zYsy+r6E0URW1tbkdxSyWRyoCgGtCdql5eX0DQtCNvvJJVKIZFIoFaroVwuo1wu97lSuEOM5wL6vh+IXb0CWq8LZ1xBp1AooFAojPWeWcMYw9raGuLxOI6OjgIXW+d+ME0uVdQQbEEQUCgUcHZ2NtF6poV/h1HKOHlY/zzFJp6TN4v1WJZ1r9xXrVbr3rn3VFUNSkEfA3yfFAQBsVgs9LysKApyuRwymczEYfiWZeHi4gKu68LzvMj7hCiK0DTt3gnCxMOG+fdZ8kc7yC+VSqFcLiOZTC57OARxf+m8c48mwssAw/LA2uLE4AD6NsLAZbaX0enkcgF4hgG55wLmzqEVJjyNEqTcri6Qw8dkjf34YBfb/eRb8W87HGOd5ZLLcl/xCW97P/MH5bvd75804gHSbDbx6tWruSy7M+tnWMlhLy9evJgqOwZoi0zVajXoUuY4Dl69ejVSfJIkCS9fvhzpTGg0GoEI02q1IIpil/DFO0J6nodms9lXUjnNxF2WZbx8+XKlOqfx77hUKvXljQmCEEwyxxFXEokEnjx5EqmEibuwqtUqqtVqZIFhGQIK/96mmXQPWoaiKF37oaqqkVw2vu8HpbydpYi8A+J94z4Iefwc8dDFME3Tukq/m80mMpkMCoUCJEnC7e1tcC7VNA35fB7xeHyq0kXf93FwcBD5Ro+qqtjY2ICmaX2OT4KYF+PoRCSKEQTRpksU6w3H53QKYMAwEQzoLv7rD9zn9ItV3PvQ+erRYtMgweru+f5sscFjCiveHOwg6/4MwwXA+8EmjnGCJysi8nnwoxib7/fPGfGAub6+XojLRlEUSJIE3/dh2zYURUGr1epylImiiE996lNTZz0dHh6CMYZPfepTweOWZeHo6GjkZFnXdezu7kYqTWw0GiiVSrAsC7VaDUB7giUIQl+ntc6JuiRJE5f7ra+vL90lNoxarYaDg4PQ5/g+4Hle4Cgb1skxn89jfX197P2hWCyiWCyOfN0wUcwwDLiuC1EU0Wg0Zlqax52E4yKKYlBaC9xl6THGxhYdB8EF3PveSECW5UDsY4xBFMWgRBlA13O9+xc/dqf9zvk6gTsnLc8NewylktwxzG+QAMD29vbcy74rlQqOjo66HjMMA6qq4vb2tut7lSQJz549W1opOvF4GUcnovJJgiBCGOS6EtAt9gy+iPbRm4g1aJn95T+9rxxdtudh+Omsv6SzvcxBsL7Q/u4ssX56A/5Xj2GiXj+fwW+tWLnkCEgQI1YYPnFTVXWurhle9sjhE3tVVfvKMKehWCwGy3IcJ8hFUxQF+/v7ODs7CwL2w2g0Gnj16hW2traQTqeHrkvXdei6Dtd1cXl5GXS89DwPiqIEnTF5PpthGPB9f6LSUi6k3N7eIp/Pr6ybIR6PD3Tq9O4DQNv11NlBtJOrqyuIoji2CMhFN0VRupxSUUQeSZIgSVLXa7mrZxYliZMKYoqiQFGULvdLp7NrVvDPvar7V1R696dxtxNvLBFVwGKMdQnilmXBdd0HH5zfS5hDWJZl6LqObDa7EPEp7Pja2NiAYRhYX19HqVTC9fU1PM/D3t4eCWLEykOiGEEQffjQwCI5hAZndTF0S2bhnR77xSoPwMdf+Qo+9ZnPdDw6SMhxcSeqDepo2e9mG+1+Gvy5wktIO0s6FymIjSPAjTNB8PB/4U9hdQQxAQzN7pLJ7/s+4A/+QeDbvg3Y31/e0AgiAnwCwTsntlotyLIMQRAW4mjoXD53kk0zITcMA7VaDbIs95WOiaKInZ0dxONxnJ6eDhQ4PM/D8fExyuVy0JUyn88PnDyJohh0sLy4uADQFoBisRhs20ar1erbjqqqRtq2uq4HE0w+tnK5PFKw64XnFtXrdTQaDXie1xUCL0kSMpkMksnk1KWZhmFEdi3x74ALEJZldU1qLy4uIIoistls5PU3m03EYjFkMhnEYrGgdFYQBEiSFAhznfsZL9kN65rq+34Qqj+tG8v3/b7vdBhcdLUsKzg+5gUXNBzHGStj8CHi+34gEHKHYyfc5cq3WaPRWPmSzVnTK/Dyc1rn8ZNOp7G9vb1QkbX3PB2Px4PsSUmSUCgUkM/nA8cyQaw6JIoRBDEAB9FKAKOLQGHuq941fviVr4wxRqB9Ghs8uRhfEOOIXcJYeCD/skWjcQS4cV677M8VRs/4/8W/WM4wCGICeDkbcOcS6XRtcefDvEkmk9ja2pp68pROp1GpVJBOpwcuK51OwzAMXFxcoFwuD1wWD4FmjCGdTg+dQPGOkNVqNSilHOYS6RXsNE3r61DIQ7g7XS+2bQcOqijZOzxwetjnBNqT/Hq9DlEUkU6nkc1mJ+q+ZlkWbNsOJqFcUBqG53mwbRuu60KW5S6Hja7ruLi4AGMsyIgbha7rXU0T1tfXcXJyEjgSw8pXBUEY6SSbVY5bo9EIAvEHwbc933aqqs6tnLFz31tGF89VZ5DDkZffPsZtxsVTLtqG3cxQVXXhghgfWy6XC0pWw5qncCcpQdwHKFOMIIg2n/888HM/F/wzmlMM6A6ZHyx4jcJHW2bqhE9nBmd0jRKmunPEJsv64jlq9MO+XKw7p5ggAI+sXIK43/i+j1evXoW6lrjjZ16imKIoUFUVyWRyqIg1LrZtw/f9SJOeer2OarUahPMPErIYY0gmk4H7KGysvu/jq1/9avDv3lwm7lQSRTEo8QPak26+jTVNC8QX13XBGBvoQFEUBU+fPg3ErM4/oF1+eHNzM7G7yDAMxONxxONx6Lre9Zl5JhMfq2mauL6+DhXfZFkOHFq8I2dnh0reoZMHcXdmZXVuv93d3dAJbi+O48B13S5Rr1wu4/j4OCjn4plT/LNECZXnTQM6GZaJNgxepsm3o+d5gbgSlnXWuW6+XwCY2J3E90NBEMZqhEEQXBAb9bugaRpevHixoFF147ouSqUSms0mWq0WNjY2EIvFljIWggiDMsUIghifn/3ZIGyfRc6S8jqytjodWyIEOF0dJUfBMNjLFF56iRFj7C/NnKy0UZjwfcTk9IqdXnfp5ATOCoJYJjwLJ0wUm5czZX19HblcbuYdFIvFIjzPQ6lUCgKUR3Xfi8ViwWSp1Wrh8PAwVBzxfR/lchnlchmqqiKXyyGTyXQJRb3iiGmaiMViXSWqYcvm+UW6rkOW5cCxw4PoOfF4HGtraxAEAYIgQBRFXFxc9HV8nBWmacI0TRSLRQiCgFgsFohHfFxcWBkmDHHhqFfs4eIXf6wzCy7MfXNycgJd10eKnVyAa7VaUBQl2Mfj8Tiq1erEQpbneX3HBBf4xhWVej8jD2HvdAt2ioO8/LUXXt4b9fNwoXYeeWTE/YGL/J7nBY7YUfBS0ai/C5M4TWdF73nx5uaGRDHi3kKiGEEQIUQRgbxPyiEHOcr6c7lsAJW/8BfAWi3Ef/EXoYw1GRznYri/02SbURlc45ZErkIJ5UOj3WmSdbgO/d7vMmJ5D0GsClGzjWYFD1yetSAGtD/L1dUVgLbAcnx8jL29vcjvV1UVL1++RKvVwsXFRehkkTGGVquF09NT3NzcYGtrKygV7HWPcbEkbBLJn2OMYW9vD/F4vO81vIuaIAjY2NhAIpEIPicXp+YliPUyaPI8Tph47/ZxHGesEibP83B0dIR0Oo1kMjn0vaenp2g2m0G23Lz2cc/zZtKpsbMTIi9L6yzNCzteuOA3KJuu0xHH95nHlntFdMMYQz6fRy6XC5yK7969Q6VSGfge7lLkYuooJEnC3t7eyBLhedFsNvvOi5VKpavxCkHcJ2ivJQgihGHi0V14/ejuhN2nGAHA+d/9uwCAT/0f/0ffq6cpv7wjzCHW/fzgMQ96XBzwPmHE8ojxaAtiAPqFsE6+7/sWNB6CmA3NZjPUvRRWwjUt8XgcT548mYsgBrRdX5eXl8G/J3EDMcagaRq2t7dxdHTUJ3bs7+8Hges3Nzd48+YNnj9/Dl3XIUkSkslkMMHkE8leUqkUstksDg8P4XkeDg4OQksDE4kE1tfXkUqlcHt7iw8//HDsz7NK8NLFzu/FNM2xRCWeP1av1wMXVS+O4wTiz6SusHGYVTMKLjhIkoRGo9HlQOOdDbm4xRgbeHwahhF87nl/duL+EIvFsLW11eXg4o1ABsGdiFE7t8ZiMWxsbATvWwZhvy+dnXsJ4r5BohhBEH1E7z45ylE2rItj7ys71xdWfhm102L4HbboAfuDRwhY6M8WI0FsNtwJYkN5/hz4+39/7qMhiFkyaGI963Bkxhi2t7fnJojxdXQyzcSMl1+WSiWcnJwAuAvoBxCUO+q6HkwyGWN48uQJrq6ucHV1NTCjqlarYWdnB8+fPw9ytnqzqvjycrkcTk9PcXt7O/FnWRU6Q+N57heAsUoPc7kccrnc0NeIooj33nsPNzc3gXNwnriuG7jWRuWSRUEURTiOEwiIsizD87xIIrUsy3MreybuL9vb2325jaZp4vDwsM/pKctycG4zTXNkeaWiKNja2hqYtbhouFjee16p1+skihH3EhLFCIIIpV3CFiYkieCiVVuAGiVUjRaywh1n3YJaeK5YmEtL6RPURjvaehkkwA1OPRu9fHKUdePhriQ2pEQyjL/390gQI+4dpmni4uKi7/FZlIP1kk6n5+4e6BXcZlEqk06nUSqVYJombm9v4Xke1tfXoapqIFr1ks1mgwD/MFzXxfn5OTY2Nobm7vi+j6Ojo6Cb5UOgsxGAJElB+R/vYsdFJVEUoapqX8kfFyWHwTvLzdrpOAw+7kmaUyiKEuyrnZ+Xh/FzdF2HZVmh5aqiKAZ5dATRyaAGFbwbK9A+d3JXauc+x8vrG40Gzs/PQ/frbDYbWv69LPjx33sszPOGDEHMExLFCIIYSHe2U68gJGDcjowigE9/5jP4va98JeSZQe+4o51h1l1iGd5RUugRxmYVlD9ILCNBLDrt8tuRItj+PvDmzUJGRBDzpFgshk6wLcuaKDx8GIvIcuGh75IkIZvNziTomTGGnZ0dvHr1Cp7noVKpIJlMDl22IAgoFAqo1WoDt+H19TVisdjQrlOMMayvr6PVaj2YMjhJkgLBlYuvnf+1LAuGYaDRaMA0zS4hVdO0UEddGL7vIx6PB00LFoVpmhBFMSixjYIoiqEi9CBhmrvSfN+H4zjwfT/otkldJIlkMgnDMCAIAlRVDQ2Y930/KEHmDTzCblowxoLS8LOzs9D1eZ4Hz/NWRnRqtVqh4vAySzoJYhpW48giCGI1+Ff/qu+hSA6eoXRPBgUALz/zmaGvGfa4Bw0e5I6SzEGCl/CJYDZs+cPovVPHs8qi3pn2ALhI4hLjNQl46EQQxP74HydBjHgwDBJaHMeZ+QTn8vJy7iHfiqLgxYsXeP78OfL5fBBMPy2806MoilhfX4/kijAMA7u7u0PHGkXg4Y0JHgqtVisosTJNE7quw/d96LoeODxM0wzEHe4qMwwDT58+jVyexRhDoVDA+++/v/AueK7rotlswjCMSGJwo9GALMuRmw5YlhV0AO0UwR6KcEpMTj6fx+7uLvL5PLLZ7MCOi67rIp1O47333sP29vZIwahcLg8UXIvFIt68eTOT0uFZ0JkryYnFYlhbW1vCaAhiekgUIwjiju/8TuDP/JmQJyYRlYC2MCR2iFNtemWscLGpOzBfQBMC7L5lDR+bOGT5GPBYe5ltl5n1yfKtEZ02wxAAiKggN2KMjwlvuCD24gXwS78EfOlLixsSQcyZdDod+jgvZZsl2Wx2rE6Dk6IoSiCkzIrr62vYto2trS0UCoXIrrdkMomNjY3Q5yzLwuvXr0fm9ViWFTrJu890ilSNRiP4q9frfRNr13WDjKNJ3Ia8m+My4N36DMMYue/btj3080mSFGkZhmHAMIyFC4HEahB1X5ckKSgBH4Vt2yiVSkNf02w2cXx8vPTy3Var1Ze/qOv6XBu8EMS8oT2XIIhu/vW/DnGMTTL54SWDInjO1/BX94tQnPZ7ldBlDXdvuR2v61y++8n/D3Jw3Ylp3JU2fi7Z3ejbY4+effJwCdneqRTg++2/jz8GPvvZxQ+LIOZIPp/He++91zfZtixrpgJWOp3G1tbWyk1KfN9HpVKBaZpBiWKj0UC1WsXNzQ0uLi5QqVRQqVQQj8eHljoOIpfLDXSEua6Lw8PD0Fw3Tr1eHyuf6qFh23ZXN8lxcV13pMCrqupcS6tM04RlWZBleahANkjQUBQFnufBsizouj5yXaZpPup95jFze3uLm5ubmZbRXl5ehopdvEEIvxFhmiaOj4+Xtu85jhM0ReEIgoC9vb2Z3yghiEVCmWIEQfTznd8JfNd3dTwQtfMjJyxDqzs431cUoOdudViXymgh/GEuLq9veb3/vssn6yXs4n7aH3s+Ng/tBgUS5nNfYpXzy3q269d8DfDbv72coRDEguDlapqmdTl0PM+baRexsJDnVcA0TRwdHQ19zcuXL7GzsxPZVdELYwzxeDxU1MnlciPzwjKZDERRxMnJyczde8ti3Ekzzz9qNBojRaGw9/ZiGAZs2w5cZHzCLwgCNE1Dq9Way7a2bTv4rsOaWQyauEuSFByfvLR51DYkUezxcnZ2hvPzc2iahr29vb7g/NvbW0iShHg8HumctrGxAVmWUa1WkclkUC6X4XkebNvuO681Gg0Ui8WBDtl5UalUQs+RjLGF5FkSxDyhPZggiJH40AZ0ouyFu7BGB+eLkXMRJg/hH8bda3tFpH4xrc24wuDgNX8r/i98EX8Gn8e/xM/jz3c8x/rGMr7AtaqCWEjpJAlixCMmrHPXuEiShEwmg3g8Hqlj4KzhYsiwSZ+iKCgUCri9vQ0VpmKx2EzK0FKpFK6urroeY4xBEAQ8ffp0pKsjmUxCFEW8fft26rEsGlEU4ft+l0gzqYvl+PgYiUQChmEgFotFcn/wskPLsgLRa1CAved5wXM846y3++U08G6S/PN3iluqqnZ1y5QkKdh2neMN2095p07f97u2rSAIlDP2SPF9PyhJTiaTYIyh2Wzi9PQ02J9UVQ26Tcbj8YEORkEQkM/nUSgUALTPR69fvx64b11dXSEejy+kI6Xrujg7O+srmSSIhwSJYgRBhCNJQEeZwV0nymHlPmzE83d3l3qnUIMFrUFiVHgIfxTCXGXt0r7BYlq7hDLsfcC4QtT/D98CAPh5/IUh7+VjeigsJ2+GIFaFzsk4d4+5rjtxFhMXe6J2ChwHz/NQq9UCR4AgCEgkEkFpJs+Uub29heM4UFUVz549A2MMtm13TfxkWcb6+jrW1tbQaDRwe3uLer0eCILNZhO+70/tmtN1HfF4HLVaLXjs+fPnwfaJsvxYLIZUKoVyuTzVWOYBYywQDxljwefhE3OOLMuQZRmO4yAWi6Fer4+1ns6ucqIoYmdnJ1IzBcMw4Ps+bNseKIj10jluXr446fHA199qtfoENt4hUBCEYLtxN1iYMC2KYpcbRtd1tFqtvs+lKApUVQ26UxKPk3fv3kFRFBiG0ReW32q1UCwWAbRdq5ubmwOX03mOEkURT548wZs3bwY6ErkwNkt838fx8TFyuRwMw0CtVsPx8fHQ43KWjmeCWBYkihEEEc5f/IvAT/xE10OjHWPDxKFBDqxekUqEACfIFBskRkUVwPrXFV6O2c4xG77MQW60u8eiOcls6BFC+1fV8TUJIS6xZ8+WMxSCWAK+72NnZweKoqDRaHR1RXRdF69fvw7tKsZFqF5HFmMMT548iSyI+b4Px3HgOE6QH+W6LjzPC/4EQUAsFoNpmiiVSn0lMlxsEUWxL7i+2Wzi+voaNzc3KBQKoZ0cGWNBQDnQnixeXl7ORBDjrK+vw7btQOgolUpDJ6FhbGxsoFarBePyPC9U8BBFceBzvfBcoHq93vV6xhhkWYbrulAUBYyxwInEJ8LcqdVsNvvEHsMwuoQloLt80LIsSJI0sdDE89iSySQURYGiKJBlOSg15AJUp5A2Kdxlput632cahSAIQ4U4z/PGWqbruoGLrTOrrFNUa7VaQYdKURSDY5t4nPB9oRdN06BpGnRdH8vNy3MX+XkmjFqtBsdxZlq6eHt7i3K5jHK5jEQiMbJJCdAuPyeI+w7z7/mtjUqlEtzVmySclSCIIaRSQKXS93DbMdabiTWo1K9dUtkpOHV6v4SB7rNukWpUaWSYnyxcwBokRrnw0B0CPE7x4uDP8dixwjtO3u+fHoKYKaVSqSu8mLurUqnURIKR53mo1+uoVCqo1WozLe/SNG1gqdv6+npQ/hOVWYpifHm3t7eoVCoQRRHb29tTLd91XVxdXeHq6ioQtJLJJJ48eRKsr16v4+TkJHQ7865ssizD8zy0Wi00Gg2cnZ1BkqSJvhuevRal5HASkWnZjFtWOWyfnBS+jW3bjpx9No0ASTwsGGPY39+fuKy99zdhEC9fvpxZF1TXdfHRRx+NlfXHGMP7779PmWLESjKOTkR7MEEQgymXgZDJBBc5WIfo1CZMFOoXscQh/xr0+F0HSLErZH8QYe4zRMpF61xG1NeNt9zHQ4hDDCBBjCB6SKfTcBwHV1dXkGUZT58+nXiSUa1WcXp6Oreco2EC0ySlPLMuvWGMIZPJzMy9IIoi1tfXkc1mUalUoKpqVxA9D/l/+fJlIJyJoghRFCFJEmKxWOD4404oXp4py/JE3xPvQhcF7kwMc7GsKlzEGxX4zxiDruszF8TCAvqjoCgKiWJEIMZPk/OYSqVwfn6+0MYfxWJx7PXdc28NQQSQKEYQxHB8P1QYA9riWOfP4SzLHHsZVmLZ/9pBJZLR8s5Gj6VTDJxXF8lZM6tGAVHX5ZIgRhARYYwhkUgEpXLjCEWNRgOmaQalbJNM5sdh2NguLi6wu7sbKZx9kbiu21X6NgmyLCOXyw18XhAErK2thT7X64ZbW1tDrVab+3fFsW0bhmHMrePjvBg04dZ1PSgFnsc2nHQbdXbu5GXKxONBEISgfHzac6AgCMhkMn3NQ3qZRJRyXReWZcF1XWiaBkmSghL4SbBtm5xixL2H9mCCIEbj+4AsdwXvcxju4uD/HP63jm6KbqTyxz+H/x0/j+/sW+6fw//e895+kWuwY2zci5Fw8e5uzAjG3SvOTc4knSWnYbGT1L7t+ft+H/DVry50DARxX/B9HycnJ4FD5vLyEltbW0E5lu/70HUdsnxX4m1ZFs7Pz1EJKXFfFrVaDZ7nrZwodnp6Ctd1kcvl4HkeXNcNuglqmjbTEk7HcdBoNILyRlmWkUgkupZfLpdn7m4aBu+uOKkDalnwhhSSJAWZZbIsBxP6edFqtSYqhexteiBJElRVHbvZAXH/EAQBL168GNhdch7ouj6ydJKXk/MbJ5Zl9e3Xnb8r41IoFEY6OgniPkCiGEEQ0eAlHp/+NPDBB11PMQA6KmjirnRGQ/vCUOjLH+t2ef0svhsG/j9d7wU8/Dz+PAT8uU/ElWgllneM64rqv9PW73oTZ1wmKWDxwtii6JmsZDIkiBHEEKrVatdk2rZtHB4e9r2OB7aLori0DonDnAmCIKykY2BzczMIg6/VaqhUKoHgIssydnZ2ph6353m4vLyEZVmwbRu+70NVVeTz+b7XTltyNG2o/X3B87y+APNFON2mdRUCd00U6vX6vcx1I8Zje3t75oLYIDFVFEXouo6NjY2h+6nv+zg7O8PNzc3Q9UxSwi1JEtLp9EB3LEHcN1bvyoUgiNXm936v+9+M4fP4lz2iFtBEfIiIJHQJYyaS+Dz+JX4LX4+3eIZeAa2dBRYmct1dHHc+G96xMjrhzjRMvLzB4tdDFMTarruuy7QRF2QE8ZhxXRenp6eRXus4Dmq1GoDJc4+mZVg2VTabnXlG2CyQJCnI90qn0wDuOnvOCkEQ4HkeKpUKZFkemmsmy3LQaXJcJs0H03X9XrnEBEFYivgnCAJEURwqFPBuk67rBgJoJ5IkQRTFQAhrNBr3zqVHjEe9XodhGFO5rnrp7TqZTqeRz+eDJhDDcBwHp6enUzmJGWNgjAUisSAIUFUVmUwG8Xh8Jc/1BDEpJIoRBDEd//yf4zf/v18/4Mlhkw4BAvhFp9sRpB+WBTauUwzwIPVkf42TJzaL0h++TIaHKX4NwgFdJhFEdC4uLibKHppXkP4gGGNQVXVg2d/u7i5SqdRCxzQJsxbDOtnc3MT6+nowmRzE7e0tfN8fu2siF2zGRZble+dUUlV1aWMedmxxR2FvmaQkSYFI5jhO3zF9H8tXiejc3NygVCohm81ifX19JueZXC4Hy7IgyzJisRg0bXRGL2/Ycn193SfWxuNxKIoCQRBgGAYURUGj0ejrcskYw87Ozr04nxPErCBRjCCIyXn7FvjJn8QfFNfx1n0xwQLE4L9tZ9e4d83Z0E6U3Zlmg5xjYXliswilv09i2CzLOHu22+c+N6PlEsTDwvd9lEqlkaUtg1h0iLemaUNFiigTtsfAqMnw7e0tyuUyJEmK7BTj+WeNRmMioWjSLpfLpNclM09kWQ6+t1GdPRljfdsyTAQLgzr1PWx838f19TV0XQ8cqdOQzWbHer1lWXj9+nVXibEsy0in01AUBbqu4/r6GldXV5AkCZubm31l47IsY29vj87nxKODRDGCICbn4gKwbfxs7q9AL/7Jvlyw8YQWAYCF8cSodkfJYZ0o70bT6RzrFKyEvvdPW355N7bHSIfrTpaBL35xeUMhiBXE933UajVcXFxMFbbu+/5KiR2np6fQNA1ra2srF7S/Knieh7OzM0iSBM/zRgopkiRBURSYpjmVw8i27YnLNZeBIAgTlYhOQ9RSTdu2x3b4cajc7HFwc3MzE1FsHFzXxeHhIXzfx87OTlDeKAgCLi4u+txgjuOg1Wohm80ilUqhXC4jHo/PJF+RIO4jtNcTBDE56+vA2hpgmmiUC/h868fxm/h6/EH8Bn4Ofw7DSxbDENEvpkW5W9zdidIF4CWTECuVniUNErv6O1m2RTQbi+7auBzGFfAGCZ4e/E7X3YInNQSxynieh3K5jKurq5llJS1SFBs1oa/X60Ew9KgA6MdKuVyG53kj871kWYYkSWg0GjNxBNq2fa9K9zzPm1h4moRxha5J9+1Fut+I5WGaJprN5tzdVr7vo1KpoFKpoFqtBvvX8fEx8vk81tfXUa/XcXV1BaDt5s3n80GjkUKhAMYYdnd3USgUImWVEcRD5bFaGQiCmAX7+8D3fi/w9Cmwu4ufxXfjDd7Dz+K7PxFHxr0AdD9xbFloS1vWJ/+O0m2qW7z66D//Z1x+//d3PTY4QL/9fgFNCLA/eR0irndS7vPFMXf1uR1/Fny6z0IQoXieh4ODA5ycnMw0PHyRJZQ8E2kU19fXODg4QLFYRKPRuDfupHnDQ/hFURwojoiiCMMwQsPbpyXq97cKCIKwMLFX13UIgjCWANdoNCbqNNhsNu/Nd0BMx8nJydzPfYwxVKvVQGzvhOeKdb52b28P6XQau7u72NnZ6RLANE0jQYx41NAMhiCI6fj854Gv+7p2KeUP/ADwK78SPOVDAkMT7VPNKA3+LturN+MrWjljv4CV+cmf7HlkmOuL4c7Z1plxFuaKmkUG1zzuSVgY3503KSJ8zK7LEkE8VDzPw9HR0VxcOpZlLdQBZJpmJEeN67ooFosoFotBCaBlWVBVFbquIx6PIxaLzWQS5nkebm5uYJombNuGoihQFAWqqiIWi820G9w0cDcHY6xvTIIgQNO0rjLJeTQEME0z+D5WWbD0PG8hJVzTNCBgjEGSpMjC9H0qXyWmp9Fo4Pr6Gvl8fq7r2djYQLVa7coR4ySTSSiKgvfeew+NRiM475D4RRD9kChGEMT07O+3//6H/wH4r//rrqd4OR0bWIrYdhoNCsvnDM4Eaz8b9n6xXO55ZNiFQFjXy7vltwUyvt5VNNl6WGyp5wgXHV38EwQAoFqtolarzWXZy5jccLfLMCGuU9DpDCF3HCco5xFFEalUCqlUCrFYbKKx1Go1nJycdLmKOkUOVVXx/PnzuXacjEq1WoWu6xBFEbVaLRCngPY27d2e8yod5N8H7yY6S+fiLFEUZe5OyGnKj1utFhhjkUVpXdfRaDRWdnsTs+fi4gKGYczVHShJEt577z3c3Nzg4uIieJx3mgQQ3CggCGIwy79KIAji4fDZzwJ/828OeHKQiNIviPGCvF48aPAgDyixHM7w0snR726va5VPmYscW092WC8kiBFEQLVandmyBEGAYRhQFAWiKML3/aXkRJmmCV3X+x5njAWOp1G4roubmxu8fft2IrdOs9nEwcHBUFGj1Wrhgw8+wKtXr3B9fY1arYZWq7XwbCfP84LOkXzdjuMEzrDe8YiiCE3ToGkaDMMISvxmie/78DxvZV0ji+6uOgmSJIU6dMLgJbFRX0/cf3zfx+Hh4dyFUFEUkUgkuh7LZDJzXSdBPDRWeYZHEMR95B/9I+CXfqnv4fCMsX6Hl/O1X4vXH3yAD//f/3do6tadQNYvzlS/5VtC3jGti2oRLiwPbbFvVfPG2uPryw5jrC2E8T+CIAC0J/blPsfq+KiqCsMwIIoiTNOEZVlLn1z3TvQURYEsyxM5nDodDlHh4dGj8DwPzWYTZ2dnODg4wMcff4zj42PYtg3LsoK/cYUy3/cjl8NdX1/DdV1IkhT6HlEUoes6DMOALMtwXTcI6zZNMxDTdF2fqePDtu1QcXMVmIcopihKsJ0Nw5jKjadpGmzbHqtrJXVlfXy4roujo6O5r6fTjRwmkhEEMRwqnyQIYvZ89rNtceSznwX+038KHr7LGBMR5hCzNA3qb/4m3vtk0lCrVKA8ewbx6qqvYHIQnqqi9C/+BfrN6i6mE7amfX8UnGCb3JWKjrPOeY2v7d0b6A771m+d03oJ4n5TKpVmkiMkCMLKdQ70PC/ICps216xWq+Hi4gKxWCwoMRxFLBbD7e3tROtzHAcffvhh12OCICAWiyEejyORSISKT81mE6enp2i1WnBdN3DGbW5uQlVVCILQ57yybRulUgmCIEAUxT4hhjEGURQjueX4azRNg+/7M3GgrGrOled5EEUxKKOctMyRuyoBTJwfFsYkzj1JkhbaRIBYDRbxffPzjiiK2N7eXomScYK4T5AoRhDE/Pjyl4H1daBYDB7qFFY6L8U9AB//2q/hU44TBOwmEgk4Z2f44IMPAAB73/Vd0L/61YGrq37Lt+DkC18AQiZno8P6h4XnexHD/qelfeEuRG5OsDgGCmKyDHzxi4sdDEHcE2ZVNrOqwoUkSbAsaybLury8xOXlJQDAMAwkEgkkEgmoqhpa4jeNwylMHPE8D9VqFdVqFWdnZ1BVFYlEAqlUKij1rFQqXe/xfR+NRgNnZ2dwXReu6yKRSEDTNIiiCNu2US6Xg21k23bfZ/F9P2gQEHVbcmFN13U0m82p9o9VLZ8E2i6bRqMBXdcnEhZWLTONj2WRzTGI5bOIphG5XA6qqkLTtIWsjyAeGnTUEAQxXy4ugP/2vwX+x/+x7ykeX+9mMvj4y18G0L7Yj8fjwWv43XXXdXH4r/7VeOsWRaCjxKg7rJ8/fudaCxe9vCCzrP3+3tfMohMlx12A8DZDPvc5EsQIYgi6rk/sZlIUBZIkwbbtuYWuT8u8xDqetXVxcQFZlpHJZJDNZoPJnm3bU5Ukqao6cpu2Wi20Wq1IZZqdIlvY9807dvKw9V5834fjOGMJY3y9kiRBFMWJxR/TNFe+M+IkY2OMzUyw7SVqbt4geBfQabpfEveDjY0NZLPZhayr89qZIIjxIFGMIIj580//afuvBxHt8qKTk5Pgsd6LWEEQkM1mAwfBOJh/4A8g8f/8P12PDe9y6QDoLZkRIKAZvK9fWIua7zKq/JLn2ayiIBaSXbTCEyiCWBUmdTNxJ8m8JvWzotVqQdf1ubpebNtGsVjE5eUlstksRFHE1dXVxGH5giAsXGTkbqxhriyeJTYuvJvkNO4j/h2qqgrHcZaeV9fJICFxFIIgzOVzcIFzWvj3xruQuq4bNM8goezh4LoulTISxD2ARDGCIJZKOp3G9fV1cJF5c3ODdDrddRGRy+Vwc3Mz9gXu0U/8BD79NV8DIbKAM0i06n78LvdrnHKO4YJYW2ybde6Eh7bQJwKRU9n6l9FXOvkN3zD1yAjiMTBuKLooilBV9d6UVnmetzCHke/7uL6+nno5iqIsXBRrNBpgjIW6uTodgdOEy5umCUVRgnLMUfD1Au3yrmw2i7W1NTDGUCqVoCgKarUabm5uJh7TtEwqiAHzEcWiOAzHhTsEO/cNnqVG4tj95+rqCr7vo1AoUKMFglhhSLomCGKpMMawtbUV3EFvNps4OjrqcgFIkoStra2Jlv97v/M7qH7d18Fl7JO4+O6/bq/BoAvocR8fFz4RmtXy7rpE+tDgQ0Z3glsnfEuMGlsHv/7rwP/0P009SoJ4yHieh3fv3g19De8qaRgGVFUNug7eJ1Y5kyqMVqs1tzEPK5OKxWJ9Io1hGLAsC6ZpziSM27IsOI4z0qEoCAI8zwvKVJPJJLa2toJSzHw+j2QyibW1taW6XARBCDpyDoOLe6IowjCMoDPkrJnUnTiMMKclz1KjfKj7j+/7uLq6mriMniCIxcD8VQ4RiEClUkEqlUK5XEYymVz2cAiCmBDbtnF1dRU4AQzDwN7eXtedtXfv3qFcLs90vZ/6zGe6PFxhmWFeh6m2twhy+gwwD37H8tnYmWU8me1uhGGh+O2un2GuFV6eNczR0j3GgPv980EQc8PzPBweHqJer/c9xxgLgsMfQhc6LrDcJ6ZxIA0jn8+jVCqFOpTy+TxM04Tv+3BdF5IkzVUA1XUdlmWFjqW3BHB7exuZTCZ0OVdXVzg/P5/bOIfBGAtcVLIsB+IYb2rABaNFOP/mEY4vy3Kkc4CmtX/Tl5UtyAV77mQ0jHZ/7/sm4C+TZ8+eBduNIIjFMI5ORE4xgiBWAlmWsbm5ie3tbQDti62Dg4Ou0pxUKjX3cbQFMAtt+cvqEsSAdhFi+Osnxe/5V/f67/4dNun0PnGDyR1/4Zlp7cd7l9FZGjlsUit8ItYRBDGKWq2GN2/e9Ali3PXCGJuZM2gVuG+CGDA/d1u5XEY+n+97PJFIBC7ARqMRuMPmSaPR6BLEBEEIwt1934eu64GjrLerZifZbHakU2te+L4f7F+2bQfOtlarBcdx0Gw2FyIUybI8l+8r6nZtNpuBMLhIZFmGruvB9ubCJP8euFhHDIcxBlVVlz0MgiCGQKIYQRArRSaTwe7uLoD2RX1n+REv55gl5td9Xd9jHjR4kEND+cNOml6o4BSV/rv4vOSRC1btf3eKZZ2CWXTCBDcWNBcY9XMgfOI262DCklaCeIj4vo/z83McHByETtR5Vth9FJGGsSzBZBWxbTsoQewkHo8vvYOo53lwHAe2baPVagXiHO94OaipgyAIE8cXzALbtqFp2tL2M1mW53bM2rYNwzAilajyrDhFUWAYxlzzqRhjMAwDtm13OSp73a33vNhoYcRiMcoTI4gVh0QxgiBWjk6LeaVS6SrdWFtbw/r6+szWdfQTPwEvomsg7LJYQPOTgPxJnFQhIfZDuBPLBjvCAvb3gU/ExfBlaJ+IXOP8DPSIcGdnY7yXIB4uPD/s6upq2UNZOJR51E2xWMTm5mZXx8lYLLaSoemu68KyLLRaraFNDBKJBHK53AJH1k2z2QzEsUWKC1wQm1c3Tu5+8zwPhmFEOpa4y3Cc93AkSYKu60Pfw7thjnLGMcYC92vnH9GNoigDS5MJglgdSBQjCGJl8H0fvu+jWCx2PX57e9t1R7JQKGB3dxfJZHImF8hBGD/6g/j5X+W/+q/6ouqFwGUlfvLf/vLE8Mcmc3oN5c/+2XbGF/978wY4OhrxpnG3XYhb7LOfHXMZBPEwqFQqeP36NT744AP87u/+7tAStIfMfQvanze2baPZbGJ3dxeMMWQyGciyjGfPng0N4l82g7LQOOvr60sXPZrN5lwdY70CzzwFsV5M04TjOJGFLt/3g/cIggBN07rG3vlvoP3ZHMdBo9EISiF5ow/grlTS9/3QLqlh6280GkE5Ky+pJOfoHbu7u3jvvfcWEv1BEMR0UNA+QRArQ7lcxunpaehFaCaT6epSyVlkCHBnKL8wNLheBODCgwYGHnLffmyowyubBcLu1n/2s8B//s9AWAnHxgbwhS8A3/mdg5f7jd8I/Nqv9T3MYGN8Ycz9pJtlB/f7Z4QgxmaS8048HketVpvTiJbHvELr58k8QtM7YYzh5cuXcF0XqqoG5XGe5+Ht27cru73i8TjW19eHdq+0LAvVahU3NzeRxJNZM4/9jWc+LbvEtRNd1+F53sTbmG8nTdPAGBu6zVRVhW3bE5eJiqIYXLdJkgRJklZqWy6DVCoVRIEQBLEcKGifIIh7SSqVwubmZuhzpVIJpVIp9D3LYZCYJPblkfVmhA1kUPnKl78MuG63E4z/nZ0NF8QA4Fd/9e71XUxyB5xcIcTjptls4uLiYuz3+b7/IIOpySnWj+/7uLq6gq7rXXlRgiBgd3c3UobUMuBNIoY1gVAUBblcDs+fP0c6nY603FnuI57nDRXtxmUVBTGgnanKw/V1XQ9cX+N+dtd1R4qIrVZr7HNTZylm5/7sOM6Dy00cF0mSBl7LEgSxmlAQBEEQK0U6nUYsFsPt7S2KxWJX2eTp6Sk8z0MulwsusmVZxtOnT/Hu3buFlTm0cREujE1w8T/IITZn2rliDsa7P9IuoeSinwug/skdGJocEw8d3/dxenoaGjDNO7NxPM8DYwy2bcNxHPi+j2azGXRze+wTx4dOqVRCoVDoKydTFAU7Ozs4Glnevhx838ebN2+wtbWFRCIx8HWCIGB7exuGYeD8/LxvfxYEAdlsFolEArquw3EcnJyc9HVlHZdWqzXTHDtd1+feCXQaesPtgWhuOcdxgvdzwavZbEIUxaADKf/OGGORr59EUQyahvB19HLPi5CmZnNzk7IWCeKesZq3qgiCeNTIsoxCoYAXL15gd3e36+Li/Py8L8w6Ho/j+fPnyGQyCxNmBnecFD4prRwCY8Df+3t37q1FCmIvXnT9s51rNq6Y2C0GSpKEt2/fPvoLYeJh43keLi4uBk6gJUkKcnVM00Sz2QzyezppNBpgjM3U7UKsHtwtFkYymVzpfDHbtnF4eIhyuTz0dYwxZLNZfOpTn8L+/j4KhQIMw8D6+jref/99bGxsIBaLQRAEKIqCfD4/1bhEUYzcrTEqpmkuPSttXBqNBkRR7MoNU1W16/qncxs1m000m81A/Go2m2i1WoHgxpstjILnrK2yiLhs4vE4xfkQxD1krqLYD//wD+MP/aE/hEQigbW1NXzHd3wHPvzww67XfPM3fzMYY11/f/kv/+V5DosgiHuCqqpIpVJ48eJFV5lGqVTqE2AURcH29vZc7871d6kcJAL1OMh6Sx49D/j7f38OI4zA//q/zmAh7idZaW27cSwWg+/75BQjHiz1eh0fffTRQJFDkqSxco54SdOiu+nNGlmWl5IrdV+4ubkZ6KZZW1tb2TJKTqdDadhND0EQEIvFsL6+jmfPnqFQKAT7ted5OPukU3E8Hp9of5dlGZqmwXVdmKYJy7LGXsYwTNOEooRlhK4uXNziInyr1YLv+xAEAYwxtFotqKoKRVECp9gsblxFWcZjvRZgjIVm3xIEsfrM9df4l37pl/D93//9+JVf+RX8+3//72HbNr71W7+1zzr9fd/3fTg7Owv+/uE//IfzHBZBEPcMSZKws7MT3GW2LCt0AhpWZjBLyt/93T2PDHJYLbKMc0w++1ngb/7NngfHGa8Xmo22trY21bAIYlXxPA8nJycDxQ1d16EoSl/nut6/sMlks9mE53n3zqnSCZWBDoaX24YhSRIKhcKCRzQeXCiq1Wr44IMPxi599DwviD0A2qLBJC4aWZbnnvl1n8XpTjzPC841jDFYloVmsxmco6ZhnBLLx8ja2tq9E1cJgmgz14LnL37xi13//vEf/3Gsra3hN37jN/DZz342eNwwDGxsbMxzKARBPACSyWTg1CgWi9jb2+u6I8cnGVdXV3Mp5bv4oR9C6hd+AfIngf8eNAh9mVxeV8j+SvKP/hHwIz8S/HN4tpiHO0dcSPfMTyZ1w7JnCOI+U61WhzpTfN+fqhue7/swTROqqsLzvLkK+7OG5xWtWkj5KlGpVFAul0ObwuTzeXieh8vLyyWMbDQ3NzdIJBK4uLiA67qoVCqIxWKR3ut5Ho6OjlCr1bCzsxM8vrW1hUKhENzE4mXGjUZjoMC6CDei67oQBOHBiby8M6RlWVOdW6J2/Zx3Z9dVxTCMqcuDCYJYHgtNAeTZBL05Cj/1Uz+Fn/zJn8TGxgb+9J/+0/g7f+fvDLyb0Wq1un4cK5XK/AZMEMRK0VlqUqvVcHt7i0wmEzzGGMP6+jpyuRyurq4GljpNw0df/jI+9ZnPBAWSHqRPMsREAO7qC2IcTQM6JrI+pIHCmAc5tH2AD8D6238b6twGSRDLZ5BDDGhPOGclCPFrm/s2qWw2m1BVlcooh3B+fo5EItFXLskYQ6FQwO3t7UqKobVaDcVicegxEIbjODg6Ogr2405RmTEGRVH6HDW+7wfZVp1/fHmKokCWZUiSFMSt8OUxxiBJEiRJCl4jSRKKxWJkwdGyrCCA/qHkY/Jjkzu8fN8P5ledj/Fyy0FEPc/dt3PXrJAkCbu7u6Flk6VSCZqmUYYkQaw4CxPFPM/DX//rfx1/5I/8Efz+3//7g8e/53u+B3t7e9ja2sLv/M7v4G/9rb+FDz/8ED/3cz8Xupwf/uEfxj/4B/9gUcMmCGKF6L2De35+jlQq1TfRkCQJGxsbYIzN5Q58b9/JQULYSqdK/PiPA9/1XT0POgB6rf/txgFhJZPNz3wGp3/2z+L5nIZIEKtArVYb+BzvwjYtPMAaaJ/nNE2D53kzz06aF4+1XCoqtm3j/PwcW1tbfc/xEPpVFMWAtltMlmXYth2p9LHVauHg4CD4PIZhwLKskbmTjDGoqgpVnd1tlvX1dTDGUCwWI73+oTkfDcPoc3cNOl/x66gwp1yU8lVBEB6lIAYAu7u7fV1mfd/H5eUlisUiGGP49Kc/vfIZggTxmGH+gm6H/JW/8lfwC7/wC/jlX/7lLht1L//hP/wHfMu3fAtevXqF58/7p1phTrHd3V2Uy2Xq9kEQDxzf91GpVFAsFoPzwIsXL4IQ2bDXHx8fj+ygNQmf/sxnRoYysvYgZr7umZFKAR1uWwYbfU0CALTLJnsu+P7pP8Wrb/92tFotPH/+nO6CEg8O3/dRq9VweHgY+vwsXRGDJuJ8UrvqzhVBECCKImRZhmVZYzuLFs2yHC3b29td7mZOuVzGu3fvFj6eqEiSBEVRsLOzMzQzqdls4uDgIPT7H/TZF8HR0VHkypKH4nYSRRG+70cuBx32uaNsEy6cPiYYY9jc3AztJFssFgMxNhaLYX9/f9HDI4hHT6VSQSqViqQTLcQp9lf/6l/Fv/23/xZf/vKXhwpiAPBN3/RNADBQFJv1XSSCIO4PjDGkUikkEgkUi0VcXV3h5OQEmqZhc3MztDRlZ2cHuq7j/Px8pmP5va98BS87yih7cQGoKz6RRbkMdN257/XAdT7ege+DAXjmunj16hVqtRqJYsSD4/z8HNfX132PM8agadpMJ86DHASmaUKWZQiCsNLliZ7nBXlojLEHIyzMmtPTU6iq2hcRkkwmsbm5iZubm5X8nh3HgeM4uLi4wObmZpAFxksXBUGA7/s4OTnpC2OXJAmO4+Ds7AyKokTOJJsluVyuSxTTNA22bYeKzdPkA64SrusG56phLi/G2NAusqIoRjqWRVF8VKKYpmnY2dkJvSnbbDa73IlheYIEQawWcxXFfN/HX/trfw0///M/j//4H/9jJJX8t37rtwAAm5ub8xwaQRD3GEEQsLGxgXg8jqOjIzQaDbiuG5rpwBhDPp+Hrus4OjqK3D0pCh9/5SsDn3v27NnM1rMowgP3w7tNAu2L4FwuR+3HiQfH1dVVqCDGS2R6J86Msbm5uTrL0Hi3ylWGNw4gYawf3/dRKpX6RDHGGHK5HLLZ7EAxdhVoNpv44IMPIr++M2vO8zy8ffsW6XQa8XgcmqZBVdWF/H4YhoHNzU3c3t7C9/0HUx45iihOMVVVQ7cHL+v1fT/SdZPrutA0DY7jgDH2YAUyngNYKBRC993ejrP8Zi5BEKvNXEWx7//+78dP//RP41//63+NRCIRODVSqRR0Xcfr16/x0z/90/hTf+pPIZfL4Xd+53fwAz/wA/jsZz+Lr/mar5nn0AiCeADE43E8e/YMBwcHQVnl+vp66GtjsRiePn2Kt2/fLmRSeV+zI9qB+3eNAwYJYhzqtkQ8NCzLGugsXaZjyzRNiKJ4bzKPTNOErutoNpuRBMN5CourRDweH/gcL8eybXslG0m1Wq2xyuTCXnd7e4vb21sAbRdZNpvF2traLIfZBxcdc7kcarUaTk5OHqxo08uw6x1JkoIw/l5HmOd5Y51neDfRzmWvehn1uBiGga2trYGRHUD7vNe5HZPJJGUuEsQ9YK6ztv/5f/6fUS6X8c3f/M3Y3NwM/n7mZ34GAKAoCn7xF38R3/qt34pPfepT+Bt/42/g85//PP7Nv/k38xwWQRAPCE3TggvqUa4EXdexu7u7iGHdn4ugP/bH4ANdfx40eJDhQQseCyAXL/HAGdS1trdDm6ZpkKT2vcVpxZyoQr3rumg2m9B1faXPMbquQ5blIA+NlwyG5VEJggDDMOD7PjRNGzrhfAhEEQrmLRJNQ2+g+CA6m0cMwnEcFItFlEqlWQwtEvF4HC9evHg0OcTDMuAcxwnOJY1Go6uj5yzWO4ubg4ZhQFXV4Fy7DERRxPb2Nvb390een3rHuawcPYIgxmPu5ZPD2N3dxS/90i/NcwgEQTwC0uk0LMuKNJFIJBLY3t7GycnJXMe0yhNWoD25LpVKuP2xH8P+e+9BGHG+botlgNhRFkAQD5FBTrDOMqNZu7XGLetuNBoQBAG6rq9UBhKfCPeOqXObdpZVxmIxNBqN4N98m/Ll3AdH3Licn59DEIShk2VN04Jw4FXDNE0oigJRFMEYg+d5cF23z3k1jhPr9PQUmqYtLJtSFEXs7u7i5uYGZ2dnC1nnsjBNs8+FKYoiYrEYPM9Dq9UKvit+PtF1ferSZ/7+KI4xnk0H3DXt4BllfDk8H00QhIU085BlGZIkwTAMrK2tRb6m4xmQnudBluWlZOgRBDE+y5PdCYIgZgTPGItKJpNBrVab24RjVndI50WtVsPR0RE8zwNjDLeXl8h+x3fA++VfxiBpzMnncfjLv4ztWi0I1NY0jS74iAeF67oDRbF5HtOTTPA8z0Oj0QhyfJZZqiRJUuAMGwUvq7RtG5ZlhbqJLMsCgEB8WSXhb1p4IL1pmqENYjiZTGYlRTHg7vvphAe2c7EMiC6M+b6Pt2/fBllNi4CXVNZqNVSr1YWsc1nwrrAc3/eDDFbbtvHq1auZ5q12rnfYPtBZtslFO8/zQs9lnVlww9xvkyBJEjRNQ71ex+bmJjKZzMRuOUEQsL6+jrOzs4G5YwRBrB4kihFLxfd9XFxcBDlzBLEo1tfX5zbhsG0bruuupFus0Wjg5OQEsiwjkUggnU63ywH+03+CiPaEtVqtBvkglmXdXdTaNg4ODrqWl8vlsL6+vtIiIEFEwfM8nJ6ehk7IJEnqEstmnUvo+/7EmVq8C+Aygu0FQQg6cY4jykUVufhEnrs2HpI4ViqV0Gg0sL+/H/pbseoNFXrxfb9PLFMUJVRAC8PzvIX/jlxeXj54QQzoF8USiUQg1siyjK2tLbx79y4ozZ6VwC5J0kBRjJ+vln3tr2ka9vb2grHOQnDLZrMwTZNKJwniHkGiGLFUGGPIZrNdF4S+78P3/e6Lo3gcqNcHL+gP/SHgV391jiMlHhqKosyt9Ih3GFu1EHrXdVGtVpHL5ZBMJkMv/gzD6OqMxj/L7e1t6IT7+voapmliZ2cHqqrOdfwEMU+Oj48HhpszxromivMI6R42gRwF7/ioqmrg5Jw3vBvmtEJclOB2LtJLkgRFUYKssvtOs9nE1dVVaIOYh3CjYZwbQ5qmIZvNznE0/SQSCVxfXz+4QHigfc6SJAm+72NjYyM4vzDG+r6XZDIZlDnatj2z7dFoNLpKoXkJZGfzjUajMbagb1kWDMPoCvcXRTGy200URaRSKaTTaei6HgiEs3KgMcaws7NDLjGCuEeQKEYsnd4foUqlgsvLy7u7p1F+VH7t19qvewAXycTi2N3dxccffzyXyVWxWEQqlYocSjwu/K68aZrBha4gCHAcB57nhbq3RFEcO8CZC9fZbBaO46DZbEIQBBwfHwd3nhuNBl6/fo2trS2k0+lZfUSCWCi+7weuhc7AaS449b6W58bMCp6hMw3czTZP1xgX3ma1/HHEQF4mKooiVFV9EOJYtVoNFcXu+00GxljkTDjGGLa2thYuImiaFnSwjupoW2USiQQymQw0TYMsy33bc9D1CGMMuq7PJauLb1dJkoKOlr0CFs9IHOd82plLWCgUgow03v2xUqkE50OeV6eqKlRVRTwen/u+RoIYQdwvSBQjVo5kMolYLNbu9BWLgUtmkX5evvEbyTFGREaSpIlLlkbheR6q1erM73ybpombmxtUq9Whd0VTqVSX42sWSJKEeDwOoF0ecH5+HjzneR6Oj49xc3MTlGYmk8kH4XYgHgeO44zlHJ11edssjxUehg6E5z9NyjzENsdxxiqzA9quV9M0g2YDzWbz3pUbcprNJizL6rtByM+3tVptSSObDk3TIh1PoihG6uo3LxRFCYSxThGPMYZkMolcLodyuYzr6+uljG8cNE2buKsmd87PI1sMaB/nXJTjYfr8mOc3JMY5tzDGsLa2hnw+HwhQoigikUggHo93lcXu7e3N7QYlQRAPAxLFiJWDW74BQP3kB9L/5A8ABDQBiABc+Oi5iPq1X1vUMIkHwPX19VwnUvV6faaiWK1W68v0CkMUxZkH0faSy+UC4c+yrOBCml/UlstlPHnyBLIsB2HZBLHK5HI5nJyc3HvnEYdPOA3DmNpRpShKqGNuFti2DcMwJhLvuDOEZ6q1Wq25TernRSwWC52wM8awvb09txD0VWF9fX1pghhHkiTs7++jXC6j1WpBkiRkMpngWvS+uMimOca5+DevUlJN09BqtQaOkZdR8uc7g/V7MQwD29vbQ92U/JgxDIMEMYIgRkKiGHGvEOAA4HfTRTA48Gk3JibAcZy534GvVCqo1WqBu2pa6sNy9T5BEAQ8ffo0uJifF/wu7draGnzfx+npKUqlUtdrjo6OANyVbWazWSopIFaWdDoNQRCC/fahwMOsJ81PXESAv2maU62nU7DjAtt9yYniXYDD6AxBv09EKZ3MZDIQRXFlwshFURx4E2vZol0UNE2bqnOnKIrY3NzE4eHhzG8MyLIc5AUPIkx0D8sJMwwDT58+HeqsZYwhnU7j6uqKIh0IgogE1bUQ9wIG7hDr3WUFMETLrCCITmaR3zMK3/dxdHQUOVdlFFEmeWtrawvv5lSr1YZ28nRdFzc3NwsJ/yaIaUgkEkubAM/TtcpdGOPAXZ6L7mg5LbwTpq7rXQ4RSZKCv1VilAsplUrh/fffv1eTe03Thgog3OmzsbFxL26UrHoMQDKZxN7e3tSO7Hg8jq2trRmNqn3MaZoWBOKP69jqdYKpqoq9vb2R34fv+0ilUtjc3ASArs7BBEEQYazWlQFBDGXQjz2VZRHjw0tT3r59O9f1eJ6Ho6MjvHz5cuqL/1HiGr87ukh44DhvjMEvym3bhud5EEURsix3XcRaloXDw0MIggBZlqFpGkRRxO3tLYB2qVY2mw0eJ4hFwRhbWqnavNdrmmYQUD+qzHAR7rBeZt0JmC9P13W4rhs0IQGi3WBYFHxsw8Q6WZaxvb0NxlifI3dV4J1Bo2TzJRKJBY3q4cJ/7/P5/EybMvCy0VqtNlGOmizLQV5ro9EIjjXP86CqauSbY5qmdd0oEARhpPDneR4uLi5QqVS61qPrOp4/fz72ZyEI4vFAohhxj3ARLoA93KwNYr7EYjFsbm7i7OxsruuxLAu1Wm2qiUCj0Rg50eAZHLMq14wCYwyxWKzv8WEXrrIs48mTJzg7O0OlUkGlUukq72o0GiiXy2CM4cWLFxBFceXcHQQxaxYh1PCA+rBySlVVg/DrRQtisizPzUnKP+cqO5Kq1erIMkLeodGyrEil9IugUwgbp2T1IWekLYJEIoGtra25ZWUlEglIkjSRKMbFsDBc1w1E6mEOyTBRPpFIDM1K9X0fh4eHfccGj3ogCIIYxmr7gQmig3aofm95idcftk8QY5DL5fDs2bNQYWeWnJ6eTjwRqFQqODw8HPk6xti9yD5hjEFV1a5tHrZtfN/Hxx9/jNevX9/r7nLE/WLWXVuj4vv+QoUbwzBgGAZisRgEQUCr1QpKDxfNIkTvVRbFKpVKpNcxxmbe0XgcGGOQZRmGYQRimGmaYwXRM8buXSn9KjmWY7EYdnd35x4er2na2FEMqqoO3Rcsy4rkCHVdt+9aJso1WphYnM/nyZlIEMRI6NY7ca/wIA3vPkkQE2AYBvb391Gr1XB8fDyXSaFt23j79i1SqRRisRh0XR84SfM8D41GA/V6HdVqNXJZUSwWW1lHleu68DwvKKsA2herlmWhVCpBkqSBF9O2bePVq1fQNA27u7szLRUhiF7m3bl1GJIkLUQw6Dyn6Lq+dMF5EYLVKotitVoNnudFyq5KJBIQBGFu3xl35gqCEGwzXuLpum5QGj/uTR5JkrC5uYlkMrnS30UYnWXHy8QwjEiZWrOAMYadnR28evUqcvB+lHExxkaKqHw7K4oCxhharRaurq6QSqUGCpSMMTDGusYqCMLKNHIgCGK1Wc3ZE0FwvuZrgN/5neCfDBguhH3uc/MfE/FgicfjePr0Kd6+fTuX8o5msxnkgkmShKdPn0JVVTSbTVSrVbRaLViWhWazOVb3p1gshng8vnBB7Pr6GpVKBYIgQFEU6LqOZDIZemFcrVZxfHwcvFaWZYiiGDgk+OcVBAGxWAzVahWxWAyqqgYXxb2Zaq1WC8fHxwDu3GeFQmGpogZx/5m3A2MYi2gAsoosW5RbNr7v482bN9je3h7pzhEEAWtrazg/P5/pGPi5ttlsjvz9U1V17BLbvb29hTeBmSWGYSxVFNM0bWGCGEdVVWxsbESKmNA0LdINPH7NE4YkSXBdN7ge4OKZLMuwLAtnZ2fY2dkZuOzNzU3c3Nyg2Wwim81ibW1taTcKi8Ui6vU6FEVBLpeDbdswDGOlXIcEQdxBohix2vz2bwNR7yjKMvDFL853PMSDR9M0vP/++zBNE5VKBfV6PbgzPkscx8Hbt28hCMLEk2BRFKEoCur1OtLp9MLviMqyjFar1eWskyQJz58/7xMWUqkUBEFAs9lEMpkMnAb5fB6tVgu1Wg2NRgPb29tIJpNBp6pOR0Gvk8L3fTiOA1EUgzw1yqohpmWZk5ZV73I3LxYhBK66O6nZbOL169dYW1sbmYGUy+VQLpdn1pxg3MYKjUZjLLeaoij33uEbi8WW1uQgkUhgZ2dnKeembDaLYrE48rd1knMXd6k6jtMltGqa1iWc8WP39vYW8Xh8YEOhbDaLbDYL13WXeh73PA9XV1fwPA/1eh2lUgmMMbz//vtLGxNBEMMhUYxYfXwf+AN/oMsx1oUsA3/8j5MgRswMQRAQj8eDwHrf93F6ejrzC2LXdSOLOGFZYYIgBBeRyWRypmOLQjKZDFxdrVYrKG0IuxhljCGZTIaOU9M0qKoK3/eD0powt1fvRTcXMAliljw2p9YqiEUkZt9RLpcRi8WGZigxxrC7u4t3795NLYzpuj6268v3/ZHvMwwDW1tbwW/CfRd8l+Vyy+fzWF9fX9pxyhiDYRioVqtDX9doNCBJ0sj4Cd/3g9/7zn23c19qNptdzUAsywqE29PT0yDTbhDLdmNVq9U+wViSpKWPiyCIwZAoRtwPfvu3lz0C4hHDGMP29jZSqRTOzs4WXkIhimJouUFnIPg45ZazRBTFgXdtx0HTtKFlEQSxKMYJDZ81yzqOl8k887E6WQXxbxCyLEOSJHieh1arhWKxiP39/aHvURQFz549CxqRAO3zaJj45Pt+cBPG8zwwxuB5HkRRnPj3bFAJHCebzd6Lxi9RURQFoiguTMBVFAXb29tzbwIUBV3XR4pivu9DFMWRoljU/a3RaHQ5GE3TDHLd3r17h2fPnq3sMR0mVNu2jUqlglQqtYQREQQxChLFCIIgIhKPx/HixQuUy2Xc3NyMfXd9UmRZHtidEWhP9ugOJEFMj+/7oR3MFrn+x8aqTmwXBZ/4dzoU6/U66vX6SEGEMYZUKoVmszk0q6kXnunouu7EIrDneV2ihSiKSCQSQXbSMtzL84QxBl3XUavV5r6uVCqF7e3tlXHXRW0+1Gq1uhxes8Z1XQiCgEajgWKxiPX19bmsZ1oGCaflcplEMYJYUUgUIwiCGAPGGNLpNNLpNJrNJm5vb9FoNNBoNObmdmg2m0MzX3qztwiCmIzb29suJ4MgCIGTaRFupmWUES5biBME4VGXTw4SHK6vryO5hPL5PEzTjCyIAbNzQ3qeh2QyCcMwkMlkHvzNGcMwFiKKxePxlRHEAAz9zPl8Hqqq4uTkBEC/w2uWOI4TiG6Xl5dBc59VY9D5jEdyEASxepAoRhAEMSGapmFjYwNAe2J5e3uLy8vLuZRfmabZd6Hp+z4YYygUCjNfH0E8Rnh+Dsc0zaDczDAMNBqNuYpIjuMsrJwQGD9gfdaoqhrZhTItq3rjYFCGXa1W62suEgZ3iy3S4SjLclDat6rbdR7MO1dMlmXk8/mVchNZlhV6TSPLMra2tpBIJOD7Pq6uroIbCo1GYyalprZt950PO0W3o6MjZDIZbGxsrIwga1lW6OdmjCGRSCxhRARBRIFEMYIgiBnAGEMmk0E6nUa1WkWtVkOtVuu7mEwkEkHWiud5qFQqKJfLoXf5VVXtutDrvdDyfR+7u7vBnVIuknXCJ/W8m5Oqqn2dIQmCaOP7fqhIxB8XBGGiYPJx1q9p2tzKj3pZpiC2bEFuFVAUZeBNFN65LspEWpblhQmpQLv75WN0vei6DsbYTIVxRVGg6zoymcxKioyu6/btp7lcDmtra8H1CWMMuVwOp6enANrnsUGxD+Ng2zZUVYVlWV3b3DTNwDFWKpVQq9Xw7Nmzlbi2efv2bd/+kUgksLGxsRLjIwgiHBLFCIIgZkhnl0XeXalSqQR5K73Bw4VCAfl8Hjc3Nzg/P++6mOKhy4NotVq4vLwM2n1XKhXIshzkxViWFfp+TdOwtbXV5YghiMcOdzsMw/O8UNfmrGCMjVUGNw08tHoZaJq2EEFMUZQgwH4VSzQlSRrqLD4+PsbTp09HOpQWJaJyltWJcdlIkoS1tTVcXFzMZHnJZBJPnjyZybLmha7rePnyJZrNJprNJjRNC/3+VVUN/l+W5ZmdxwbllDUajeBx27bx7t077O/vL11U9H2/z/26ubk5tFsmQRDLh0QxgiCIOcFLrkaJT/wuq6ZpODw87AswHkWtVgvENNu2B5bjcJrNJt68eYNcLod8Pk93LwkC6Cr/GUWnUwG46x4ItI8vQRCCSRA/HsPcJb2P+b4/8/LM3vOP53lwHGdpgtg4gfDTwDssrrIbbVTpqOu6ePv2LTY3N5FOpwdO+BeRPyWKIjKZDLLZ7KOe4Ofz+YHu7nHJZDIzGNH84U0GhomhnaKYJEkjr0PGodFojHTomaa5EuH7kiR1HdeiKNI1FkHcA0gUIwiCWBFisRj29/dxcHAQaWI8rVulXC7DcZyV6nJFEMuAT6jGodFoBGXJsiwHxyJjDK7rLsy9w92hXFDj5w5BEAaWgy6TRWX/zLPMdRZwN2/vY72ONs/zcHJygmq1iq2trUB87X3NPFAUBYlEAvF4HLFYjH4n0D6+d3Z28Pr166kF7IfkuBNFEYIgzM0FGrate/f7UqmEtbW1pbrF0uk0zs/Pg38v27lGEEQ0SBQjCIJYIXRdx/7+Ps7Ozka+dtxyoE7HiOu6aLVa8H2fJjrEo6Zer0cWontpNpuIxWJdAtiiujnyUuxms9nnylhkWP+4zNJBMgjG2MJLCsdlUNdNwzBg2zZkWYbjOLBtG77vo1KpwDRNbG9v9+WM5XI5XF1dzaxpQT6fRyaTgaIoNKkPQdM05PN5XF5eTrWcVqsVKnLeR7ibLIqra1w6S707l90rsDuOA8uyulxriyaXy8E0TYiiiNvb25UYE0EQo6GZEEEQxIqhaRp2dnaGll0ahjGW40KWZTQaDZimCdM0gwvMeXTKJIj7BHdoTorv+wsXoBRFCTJ+7hO8pHHeqKq6MHFyUmzbhq7rMAwDmqbBMAy4rgvTNGHbNkzT7AoYNwwDjDEcHh7i+vq6a1mMsZkE3wuCgCdPnmBjYwOqqpIgNoR0Oj31MpZVwjwv4vE4PM+bSACSZTk4HjqPCd7cgKOqKiRJGnh9tMgurGFwJ6Gu68GxWywWUavVUK1WUSqVVvaGBUE8Zh7G7QmCIIgHhizL2N/fx+3tLSqVCjzPg2VZ8Dyvq1SLZ7uIoohms9k3ETQMA77vhz4HtIP+CeKxYxgGMpkMSqVS1+O9+TDLhrsxRpUnTVrCNGuHRy9hHXLnwX2YdCqKMpabjX+fhmHg7OwMjDFks9ng+VQqhdvb27HHEY/HoSgKBEFAJpMhR0tEeCfnaZyPD1EUu7i4QLPZHCveodMVOQgugvFlOo4TKozV6/Wu42IZCIKAcrkc/LtcLnf9+/z8HJlMBrlcjvLGCGJFIFGMIAhiRWGMIZPJBGG8vu+jXq93lVZ2Or06L0INw0Cr1Rp6UcoY6yvDIYjHSqFQ6HJecTFZ07SgHNF13b6J2yLKATmdgvgwGo1G5O6SvFzPdV14nhfkAvES61mhqiosy4LjOHMX3xaVWzYNk46Rdz89PT2FIAiBYykej4+1XWVZRqFQQCaTIUfYhOi6PtXxv8hzxyLQNC0QCnkJ4aiYB77vjdpvw857Yeener2+MPF9GLu7u7i9vQVjDKqqwnVdHB8fw/d9uK6Lq6srlMtlvP/++0sdJ0EQbUgUIwiCuCfwEpmXL1/C8zzU63VcX1/DNE34vo9kMhlMZPkEfhiyLFOeGEF8guM4gXNHkiQoigJRFIPJlSAIoeWKtm1P3fRiEIqiwPd9SJIEy7Iilzv7vh95wt1oNLompJ0dGzs/Fw8FD3M38W3F4eIMfy1fDs8c4suaVxD+sifEUZhGFOTC2PHxMQRBQDKZHLpMQRBQKBQgy3LQDY/KI6dH13VUKpWJ3z9uLuiqwxjDkydP8ObNG/i+H7ghBUHA06dPAQDX19ddrilN0ybO/wtzhDqOs3RRrFwu4+zsDIIgdEVhSJKERqMBx3FwdXUFSZKWPlaCINqQKEYQBHEPEQQBiUSiy+nlOA6azSYEQYh0kfnQLsgJYho6BQXHcYKyySjHkmmaQSfKWSKKIhqNxkSOEs/zRpZ/jhozd3sAd9tBFEWoqhoEwCuKMlDcEgQBgiAEz/OOnVwgmwdR3XTLRJblqfcV0zShKArevXuH7e1tpFIpJBIJVKvVrtcZhoGNjY2hGZXEZEy7Dz/Em1K6rgcl3vyc2pkB1tvld5pSZ0mS+s6NjLGlb9dkMolSqYRarYaLi4sgszIWiyEWi8HzPDiOg9vbW1xeXmJtbW2p4yUIgkQxgiCIB4MkSYjFYpFzZVzXpbuUBPEJfIIryzIYYwO7wvFg/d7SnXlMxKbNM3McB7IsQ5Kk0DFHWX6veM7D4KMsw/O8vkmv67pQVRXNZjNSedW4CIIQONJWlWmzqDiO40BVVZyensI0TaytrQWlWrFYDKIoQtf1B9PhcNUwDGOq3MFlZ1/NC35M83Nip4s0kUgEWaelUmmqZj+iKPYdR6uwrzPGsL29jdevX4c2wOAOsnQ6Ddd1UavVwBiDKIpBV2GCIBbL8s8cBEEQxMzIZDKBe2DUhfqq5IlZloWjoyOoqort7e3gQpoEO2KRCIKAeDyOWq0GILwza2dOlyiKUBQFlmUF+6wkSYHYDNwF43eWEkZlViWZtm0HJZ6apsH3fbRarZkJM5OMBxhejjkNrVYrcIssI3Bf07Qup2Evsyy1lSQJrVYLvu/j5uYG6XQaGxsbM1k2MRpBELC2tobT09Ox36soykw6hq4iXBTj58rOMPlcLhf8OjaK0wAAmkhJREFUf6FQQKlUws3Nzdj5hZIkhV4frEqeoCzL2NvbG3qzhH//xWIxcNA9ffr0we4XBLHKPDzfLkEQxCMnFothb29v5OsSicTSRSfTNPH27Vs0m03UarVgEus4Dt68eTPVXWSCGJednZ2h3cA6Jziu66LRaATh+81mM3Bm6boOwzDAGINpmmg0GmM5GOaRUcYYQ7PZRKvVgmEYSy8xAuYXNO77/sInx5qmQdd1NJvNoCtwL7P8Xhlj8DwvEGB5F8lZUy6XcXBwQOfiAUzasXMVfn/nBT/Xua4LTdOQSqVCXycIAnK53FiOOUVRoOt6VwZkJ6siigFt4V9VVfi+P/QmZaFQCHIBb25uFjU8giA6WP4VEUEQBDFzdF0feZdymRfkruvi5OQEb968AdAW8nK5XJdw0Gg0cHl52TXxI4h5IkkSNjY2usQF3j3MMIyRpYJA22HWaDRgmmaXU0kQhEjH3LCMrknQNA2GYaBerwePdWaFLZNpy0OHMUzcnAetViuYpIc51GaddcaFAb7sfD4/k9Ix3/dhmiaKxSIODg7w7t071Go1OgcPgJfKTfK+hwp3K4qiCMdxRrrSM5nMyH2Xd8Xl59dBDBLglgljDIeHhzg/Pw+aI3XiOE7QRZZ3zyQIYrFQ+SRBEMQDJZFIYH9/H8fHx3Bdt28Cyi/CFoHv+7i8vATQvri9uroKxiNJEtbW1hCLxeD7Pmq1GiqVChhjKJVKKJVKAIC1tTUUCoUHPZkglk8qlUIqlUKtVsPx8TEkSZpJgL5lWUG55TBmKVaJojhw7MuceHHHFO9SOQ94EP2iHE68S+ggoS8sFHza9XFs28bFxQUqlQq2trYiL8N1XViWhWq1inK5HDR26P1OGGNzcaE9FAzDQD6fx9XV1bKHshJwgUtVVWiaNtKVKggC8vk8zs/PB77G87yhv/2iKGJ3d3dppYe82cqgzyqKYrB/rK+vB40HXNfFwcEBWq0WstksqtUqWq0WZYsRxIIhUYwgCOIBw8s6HMeBpmlwXTdwLNzc3HTle8yDm5sbnJ+fD8z24ZPj8/Nz5HI5nJ2dDQzeLhaLcBxnrEnfKGzbhmmaMAxj4c4SYrWJx+N49uwZzs7OZiKKDcrA6WWYcNLZ7a5TuBAEIegGKctyINB0usN6aTQaS8nd6iwhnIcoJghCkP22SDecqqqBANc7MZZleezMpFE0m83gu1ZVFfV6HY1GA+l0emCnSd/3Yds2Go0Gbm9v+xxgvNSrF8YY3YwYQTabJVHsE25ubgLHa9SMu1wuh2q12nfOUhRlpIssmUz2OXwXie/7OD8/H9rllZ/XedlstVqF67qQJAnZbBbFYhHpdBqbm5vkFCOIJUCiGEEQxANGEATEYjG0Wq1gYs8vzi4uLpBOp+c2cby+vsbZ2dnA5zsnx7xF+ahOdOVyuesOKnfAua6LtbW1voviYrEYlLHxP13XkUqlEI/H8fHHH8PzPOzt7ZEoRvShKAp2dnbwwQcfTD1RcRxn4OSu02E0THzgGWXDEEUxyA0bNuZliByapnWN3/O8mQfPA3fh/a7rztWNxuGCGF9PpytQ07QgDH+WcIEL6BbhDg4O8OTJE2iaBtu2UavVUKvV0Gq1Ji5XpXPjaBRFQSwWGypEPxbq9ToEQQjyv6LAGMPu7i5KpRKazSZs24bneWg2mwPdnrquY2NjA7FYbJbDH5tarQbTNIfe0DAMA4VCAbqu4+OPP0Yul0OpVMLz588Rj8fRaDRQKpWCLEqCIBYLiWIEQRAPnEEuF8/zcHJygt3d3blchFWr1aHPd06E8/l8JHHOdd2Bnb6q1So2Njag6zokScL19TWurq76JqMbGxtIJpOoVCqBS2YV8pWI1UQURSSTSZTL5amX1Ww2EY/H4bpulwBsWRZ0XQ/C0wVBmNhZ5DgOBEGAZVlDO0wqijJz99IkNJvNmTnWektdLcvq6hjK4cK64zhgjEUua9Q0DYyxrkwjQRDgOE7XeYYvV5blhYhynecvz/NwcHAw0+Wvra3NdHkPlXQ6PVIUk2UZW1tbD7o8TtM0lMtlrK2tjXVtIUkSCoUCgLvc0UHXL/l8Huvr60sXkBzHwfn5Oba2tobmmfHcuevrawBAqVSCJEmB4GwYBl2HEMQSIVGMIAjigbO+vo6Li4ugI1utVgueq1QqOD4+xvb29ky70fGw5kF0Zv0kEglkMhn4vo9UKjWx+MAvokdxcnISTFx2dnaQSqWWfmFNrDY7OzvQdT04jjiyLHeVxsmyPLTUUlGUruOvk06hRRRFiKII13UDscx13UjiCi+Rtm27azm9LLr7JO9+CaDLxdbpeJqGQY6zVqvVJ4zZth1sk6jCVed3q+t6sDxVVUODv3kJ6yKEx0ajAV3XhwaQT8OycpruG8lkEqenp0P3pc3NzSB43nXdBymE8N/TafYbnhF2fHzcd02wKoKY53k4OjrC2tpapID/er0e5KYxxvDs2bPgPMw7cPq+v/TPRRCPERLFCIIgHjixWAxPnz5Fs9kMsmE6XVy1Wg1nZ2fY3NwcOFH2PA+Xl5fwfR/pdBqyLA+9mHddd6jzQ5KkQBRrNBqBO2ZU+eQscF03uFsLtD//5ubmg5ycELOBMYZ8Pg9FUXB0dBQ87nlelxDjuu7QckAuVI3az/nziqJ0CR3juku4qNYrliiKMpOctHHQdT3YLq7rzlQskmV5qCDUub17t4dt21BVNegOyielnd9h73fa+f5h611kZluj0ZhLYwFd1+ncGBFRFBGLxQYK34qidHVifPv2LfL5/EKb3swb3/eD64tZ/J73nktXRRBzXRfv3r2DYRiRO152dtIuFAqh5fRnZ2fBMpf9GQniMUGiGEEQxCNAEIQgAHZvbw+NRgNHR0ewbRuKoqBUKsF1XTx58qTrfY7joFwuBzkfAIIw4Vgshq2trSDMH2hfEJ+dneHm5mboeHgnKd/34TgObm5ulpbHcnt7C6DtBiKIYSSTSaytraFYLA4Uv4a5nngoetQMrV6BI6qQJYriwHHIshzZdTYrekUmHjA9acYVhzv1hm3P3hLSsInmKIFu0syzWXabjLq+aRxjYduGXGLjwTvXhuH7PhqNBgzDgGVZaDabOD4+huM4yOfzCx7pfGg0GoEYdnNzg0ajgWQyOVG5qGVZXbl529vbkQWoeWJZFg4PDxGLxbC+vh75fYlEAtvb27i9vQ2cYb14nofj42OYpjnTpkIEQQyHRDGCIIhHiK7rWFtbw8nJCVqtVuAee/v2LSRJQjqdRqPRwNXVVeB0yGazSKVSqFQquLm5Qb1ex5s3b4I26PxirlKpjFx/s9nsEhWGtWJfBIt2zRD3l0KhANM0B058R4W7TysEhWVk9dIpbvTu26NEpHmgaVqXUOM4DkRRHDtkn7+eMRZ03BwlPHEnWFgZ5UODiy6CIATdhqN+3kHfRSaTmfUwHzTJZBLFYrFrv1RVFbu7u1BVNTg2O88fFxcXiMfjDyJnrPNzVatVVKtVmKaJp0+fjr0sVVWRTCZh2zZ2d3eX1l2yE57FurGx0eX6i0omk0E6ne4ToE9PT9FsNoPjlRo2EMRiIVGMIAjikcLLhTpLGfmFWG+GB295zrtZKoqCs7OzruD7cbOBms3m0CDwRcLv2DPGUCgUVuLim1hN+DEzCM/zoKpq4IbqFaU6j7dJiFLK1inI9Qp0iz7eBpX0ua4L0zQjO5s6SxF93x+rNKvVaiEWiwWl2otiWWWHnWW93E1nWdZAQba3KygnmUzSuXBMRFHE/v4+3r59Gxxra2trfYJXp3jk+z5OTk7w7Nmze18yF3aDqVarodlsTiT6bW1tQRCEhWcgDqJer2NnZ2eqjqzNZhMXFxfY2dmBKIqoVqt97vpWqxXEShAEMX9IFCMIgnikpFIpxONx3N7eQtM0WJaFarWKWq0WTBwZY3j+/HnfxWw2m0W5XO5qQz5uOZbnedA0bSVEMaBdRsldNMlkMnJHTOLxoet6UHYbhiiKaLVaXaH3QFsQW4RLa1hHx0WWTUYRAKOMR1VVOI4zlaOzXq9DEIS5BtJzuOtq3uuJQqebTlVViKKIZrMZ7BvDupDmcrmFjfMhoShKIIwZhoFkMtn3mt7zQKPRQL1ev/flqrzM8ezsrOv8c3t7i42NjbGXN+wGxDKIx+MTC5fNZhPX19colUoA2plyrusOFKtbrRZ0XZ94rARBRIfkZ4IgiEeMKIrI5XKIxWLIZDJ48uQJ1tbWALQvbn3fH2jj55Nd3mXtvqPrOhzHQavVwuXlJV69erUygh2xWqTT6YGCaWcZ2qyPjc4OjsOQZblL2O5dxqKI4jLijlFO5/hkWQ7yl2YR2u15XpDpNE94ZuKq0Wq1YJomPM+DKIqBozFMmNR1fe7b6SGjKApevHiB3d3d0H0h7PxxeXm5iKHNlUKhgEwmg729va7PvQoC8SyY9Li2bRuvX78OBDHecGVYOf2sm2YQBDEYEsUIgiCILvL5PD796U8Hd7dvb2/7JqS8G5+maWCMPQjxqHdyaNs23r59O3UGFPHwEEURT58+7Stt6eyw2At36UyDruuRyv8GiUzAYp1iUfOsZFmGruvQdT1oCiJJEmzbhmmaMx9zq9Waa1kSFy5XPSPK87yBYuPa2tpKCnv3iWHHe1j5Xb1ev/dCCG+8E4vF8OTJk2AfWnTp8qpxfX0N3/ehKAoMw8DOzg5evHiBWCw28D33fV8giPsEiWIEQRBEH6IoolAoYG9vD/v7+6EX97yV/DQTVtM0AzeCIAiQZRmKoixlMhb2GS3LGlomRzxedF3Hs2fPutw0YZO+RqMBSZKChhbTEFWgHXZMzksU6z1+eND7KDpLDXnnOtM05ypGu64LQRDmmpfl+z5ardZU2UPzQhCEoR1KNU2792V8q86gfe8hlewnEgmk02kA7XPju3fvHq0wVi6Xkc1m8eLFCzx79gyJRAKSJPW5MRljQXOLx7qtCGIZkChGEARBhKKqKhKJxFBHRS6XC81LGQfurPE8D7Ztw7Is+L6/sNIdxthQR0etVsPt7e1CHTbE/UDTNOzv7+PJkydIp9MDnVFc4JlGFGOMRXYODHNuzmM/5mV43OnFS5GjsCw3hOM4sCwrcLbMA9/3IYriSoVl9zZXCYNcYvMnTBSTJOlBiWJAO3+U70vVahWHh4colUr3zgV1e3uLN2/eDOw6PIpnz54FTQM4vu/j+vq663Xb29vY2NgAY2zqayuCIKKzOr/SBEEQxL2DMTa3MOZOF9k80XUdzWZzYOZJrVbD8fExzs7OSBgj+uCTl+3t7eAO/6DXTRMUP4544zhOIPQ6jtM1AZ+l+0DXdaiqGoiBvESq0WhEEsUMw1h6ebJlWXPNROTf+So4xhhjUFV1qCARi8WQSCQWOKrHSSaT6RPAHqI7T9d17O3tQdM06LqOer2Ok5MTvH79+t7kjNm2jdPTU5imicPDw4mapYQd/2HCl2VZgVOfQvYJYnHc/2RkgiAIYqnMMzcnTBjjwpTjODPJMosqdN3c3MBxHOzs7PQ5P3zfD8KriccJYwxbW1sQRRFXV1d9z/u+D1VVIQjCQiaDfL9WVRXJZBKSJEFRFAiCEDg3+H9PT0/HHpOqqlN9DkVRFtKJcxQ852ee4pzneVBVdenZi6qqjhRmNzc3ySW2AERRxMbGBs7PzxGLxZBMJpFKpZY9rLkQj8ehaVrQ6brZbMJ1XZyeniKdTne5yVYNz/NwcnIS3EzwfR+VSmVmN+xyuRxM0wyE6pubGxQKBRQKhZksnyCIaJAoRhAEQUyF7/tgjM3NRTVo4jwr58U4zplKpYKDgwMAbTFQURRcXV0FE2pZlhGLxRCPxxGPxx9EV04iOowxbGxsIJlM4uTkpK+ckv+7s0NlVJrNZpcraxiqqiKTySCZTEbKzXr69CmOjo4GdpoNY9pJ7CoJyFx8bzQaczuPNRoNKIqytLIxXddHipjZbHblmwM8JNLpNNLp9MoKQrOE/xby85ggCLAsC2dnZ3AcB+vr60seYT+u64aeF6+vr+G6LrLZ7NRuLl3X8fLlS5TLZRSLRei6/ij2B4JYNehqnSAIgpiKcrm88LJCfrd5Fti2DVmWI7s4ms0mPM8LFTVs28bt7S0ajQaOj48DB0Amk1mpXCFivhiGgefPn+P8/Bw3Nzd9z0+67w6bLImiGEyyeVfYqIiiiL29PXz44YeRwvFlWZ76+Fu1iZ9pmkEA/bxcY7IsQxRFNJvNhZ4zo4iwoihibW1tQSMigNU7Bkbhui5ubm4giiJkWQ4a40T5besU83uF/cvLS0iSNLcohklotVo4OjoKvQnh+z5KpRJKpVJwAyKfz0+8LsYY0uk0UqkUhesTxJIgUYwgCIKYikUF4ncyywklL3tUVRWiKA6dPEZxenROQOv1Our1OsrlMnZ3d1ciV4hYDIIgYHNzE6qq4uzsrOs5RVFCRSVFUaCqKhRFCbqwep6HWq2GRqMxcBKdzWaxvr4+lftKEATkcjkUi8WRrx1HRB5EFPFtEIIgTDR51DQNlmXB87wgz0wQhL5J/TxEMcMwAsdJVMffNDDGIAgCVFWN5Erc3t4mZysxFEEQUCwW+35/RVFEJpPB+vr6wHNUPB5HtVoduOyLiwskEom5doSNAg+/73SAD8O2bVSr1alEMQ5jbKUctATxmKBfP4IgCGIqNE2beJI6KbOetDLG0Gq1hopWUcqPgPDJvmmaeP36NZ48ebIUEZFYDrwRhaqquLi4CPafThGGTyiz2ezACSGfcPm+j1arhUqlgmaziUQigUQiMTMxI5fLoVQqDRW8DMOYSQngJC4ZSZIgSRKazSZ0XYfneUPFJVmW4TgOdF2HbdtoNptgjEGW5aFC0STlrcPoXd68XKO8aYjv+/B9H67rRvoc+XyeOt0RI+Hl4b0iv+u6uLq6CgLiw8hmsyiVSgMdpp7n4fr6GpubmzMfd1Q6yyWj3MASBAGf+tSnyAVOEA8AEsUIgiCIqXBdd+GW/1k5xRRFgSRJgVjhuu7ACXFUZ8ygC2THcfD27Vu899575Bh7ZMTjccRiMZimiaurKwiCgGQyiXQ6jUQiEVkgYoxB07S55T6JooinT5/i9evXwTEdj8ehqiokSUIqlYKiKDg6OkKlUplqXVzYihrWzxjr6uDJ36frOlzX7RPqOo/jzuPZ9/2Rx7JpmtB1HZZlQVXVIDexd1lRCDufNBqNQBz3PG8mpeCTCnmGYaxknhOxmuRyObiuG+oovbi4gCRJoV14GWOIxWJD9/Vl5e0B7ePw7OwM9Xo9EN9t2w7OOwACsZnDG3Qs291GEMT0kChGEARBTMW8y4DCiNL5jk86XdcNxsjLiRhjsG0blmV1XYjzrDBJkrrcaOMEZA8TOHzfx/n5OXRdn0m5BXF/4JPCWCy27KEMRVVVvP/++/A8L+jM2MvOzg4++uijqR2bjUYjsstU1/VQ0afzPMBzjnzfn7rDJ39/7zqjCnmMscChFkbncnVdR6vVGroduDOus3spd+0NyjgchSRJ2N3dvXfZVsRyKRQK8DwvtMvuyckJfN9HNpvte05V1UUMbyLOz89xe3sbiMv83MZL2DmiKEJRFBQKhbFuaBAEsdqQ35MgCIKYilgsFnoBPE88zxt5MWpZFprNJlqtFgRBCLo6NRoNmKY5cLIqy3Lf5JQ7RqJgmuZAJ4+maUGXqWkylQhinvAg7UEOCEEQ8PTp01BHyLgMOlZ4h7pxsG0bpmnOvYskF9w7XXuiKMIwjOBvVIlm7zIBhHaykyQJsiyj0Wig1WoFQiJ3HjqOM5FTl3+H5FolxoUxhvX19YGNGU5PT3FxcdF3DKZSqaG/o8vqfHpzcxM0ROk8ZlVV7Tu2XNdFIpFAMpkkQYwgHhAkihEEQRBTYZpmaIe9edJqtUa2Qu90sXieh0ajEbmzXtgkc5BrJoywi2XGWDAmz/OmLj8jiGWiaRq2trZGHoejME2z77gyDCNwTkmSBFVVV0pENk0ThmGg2WwGOWU8v4v/cWepbduRthE/R3F0XYdhGBAEoU/AlyQpCO2flN3d3aWJEMT9hzGGtbU17O/vh2YaXl5e4ujoqOu45V1uB2UgLsN1Xi6XcXp6GvpcWOi9qqrk8iaIBwiJYgRBEMTEeJ6H4+Pjha9XVdVIOTyTuEUGTb55qWWU7lBh5VW6rncJdSSKEfcd7hiZlk7hqDcby3GckaWFy2YerjTuaO0t2xYEYer1bW1tIZFITLUMggDaTvGdnZ3Q56rVKl6/ft0l6iqKMtBZvghRjGcKVqtVFIvFgdcvsiyHXmNQqD5BPEzoyCYIgiDGhmfYnJ6eLiUcVxTFSJPkSTJMRjlSRi1z0PO926lWq62U+4UgJmEW+zAPsO5setGJLMuRG12sIrOc7GuaNtW22NjYWHi5O/GwicfjSKVSoc9ZloXDw8Ou80QymQy9uWRZ1tRZgIPgeZ4ffPABPvzwQxweHqJYLIYKzNz5GXaN0Wg0cH5+PpcxEgSxPEgUIwiCIMbm4uICb968we3t7VLWz8uXRuF5XlCGFJVRJZKNRiMo/9A0DbquQ9d1aJoGwzCC0snO0iTDMPpCyX3fR61WizwuglhFWq0WRFGEIAgQBAGMMQiCAEVRgmOBPz8My7KCkPxeorgzVxl+HlomvLMolX4R82Bzc3PgPt5sNvHu3bvg2NY0DS9fvkQymex6ne/7ePPmzVxutLVaLVxdXUUS8TVNG3rT7ebmZmnXPgRBzAcSxQiCIIixmaTT2SyRJAmmaUaaaPMuelEZdkHeOckHEHS5azQaaDabME0TrVYLiqKg2WzCMIyBXfOAdp4JQdxnuOPR87zgWJMkCZZlwfd9iKII13X7HJSyLMMwjECE9jxvYLlSlFLpRTOsoUYYyyz/1DQNz58/RzweX9oYiIeNJEl49uwZCoVC6PO1Wg0HBwc4OzvD2dkZbm9vsbu7i93d3S7R2/d9XF9fTzUWz/P63JTjXLNEOVYXfTz7vk/XCwQxR8KTDgmCIAhiAOVyuc/1NC8GObxarRYMwwhEqUEoijJ26ZLjONA0rW8izjtR2bYdXHAPCuTnwtqoC/FKpYLXr19jY2MDsVhsrHESxLJxHCd0H+9sNMGdGb3NJzqPI1EUoShK6LGsqurcSqomhXfnHEesW0YWEWMMhUIBhUKBOuURc4dnDKqqGprVVa/XuxpE1Go17O7u4vnz53j37l1wnJdKJaytrU3kEPV9H+/evYNt24F72zTNyK5sURQjXTPYtg3f92d2XPm+D8/zBn5m3rXaMAxIkkTHM0HMGBLFCIIgiMhwEWpRoljnxLmXRqMxsFxDEITQdupR4S4v13UhiiIsy+q6UObLnUXOEXeakShG3Deq1Wrk1/KOsYyxPjHbdd2BwtcqTv4mca8tOj9Q13Vsb29Th0li4aRSKRSLxZFlkLVaDa9fv8azZ8+wv7+Ps7MzlMvlgWXUUbi4uEC1WoVhGLi9vQ0tc1QUJcglFUURjuPAdV0oigLf9yMdq5eXl7AsC9vb26GCt+u6gWt2FI7j4OTkBIqiYHNzM/Q1tVoNlmXhww8/RCKRwN7e3sjlEgQRnZUon/xn/+yf4enTp9A0Dd/0Td+EX/3VX132kAiCIIgOfN8POkldXV1BEISxcromRZblgcIXn1j3jkPXdXieh0ajMVXANS+FNE1z7iJglAtnglg1JEmCYRh9f2HHCxe+xj2e5tHZcRoMwxhbDDcMY6ENSdbW1vDs2TMSxIilwBiLnF1nWRZOTk7AGMP29jZ+3+/7fXj58uXEv4lcqO/MHWWMQVVVyLIcNKrg1we8wys/P40jdpfLZbx9+7bvfGbbNt6+fYsPPvgAh4eHKJVKqNVqQRdd7gpzHAe1Wg2vXr2CZVlYW1sbuK5OR+4iunQSxGNj6VfhP/MzP4Mf/MEfxI/+6I/im77pm/CFL3wBn/vc5/Dhhx8OPTkQBEEQi8H3fXz88cddkzrXdWGaJiRJilxuMC6MMXieN7TsyPf94OKX3+FdtVKrUWSz2YGduwhi1ZkkX3CcbpKrJIoJgjD2+UVRlIVlMAqCgN3dXSQSiYWsjyAGkUqlcHZ2Fun4rVarKJVKU3dF7YwuANrnJn6u4dcos3B3q6qKra0tyLIMSZK6rlGazSYODw+D9VSr1ZGOWlEU8eTJk6HloqqqBp9tGaXYBPHQWboo9o//8T/G933f9+F7v/d7AQA/+qM/in/37/4dfuzHfgx/+2//7SWPjiAIggAGh8ryO6RclOIZG7MQpoYF1Pey7OD/SUmlUtjc3FzJEjGCGMWk3VPHEdFX6diQZXnssS9K1JNlGU+fPu1raEAQy0AURcTj8cgl1qenp2g2m1hfX5+42yy/BulkFiJYL4VCITTuwPd9HB8fQ5IkxGIxKIrS1ZWXnw+azSYajQY8z0MsFkM6nR553BqGgWq1imQySc5ygpgDSz2qLMvCb/zGb+CHfuiHgscEQcCf+BN/Av/lv/yX0Pe0Wq2uC5JKpTL3cRIEQTxmSqXS0HInx3H6ntc0LcjUWFT+2H2EZ5Vxx90qCQAEMQzf9ye6BpMkaaxzwiLLDkcx7vE5jrA/DZIkYX9/P+jkSRCrwMbGBprNZmRh6ubmBq1WC/v7+xOtTxCEsc8vkzDI2V2v18EYw/Pnz2e+TsMwAicoXScQxOxZqv/y6uoKrutifX296/H19XWcn5+HvueHf/iHkUqlgr/d3d1FDJUgCOJR4vs+Li4uxn5fs9kMMjN4uPa42LYNWZbHft99otFo4NWrV/jggw/wu7/7u/jggw/w6tWrsQLMCWIZjDPZ7cRxnMh5hKIoLjygfhirWLYkCAL29vZIECNWDlVVxxZrpy2hXESO3iD3Z7lcntv6dV2fqHlQs9lcqRsLBLGqrN6v+wh+6Id+COVyOfh79+7dsodEEATxYDFNc+JJKe/c2Gg0Jpqw2bY9cffI+wh31fGLWN/3USwWUSwW0Wg0VipbiSAG3byMAs/6GcWqlQKO6/qa9zHLGMOTJ08GNiMhiGWjKAr29/cjlfyJojh1Hl4mk5nq/VEIuy7hztlB3bl53lmlUkGxWBzbzSYIAgqFAk5PT0e+1nEc1Ot1nJ6e4tWrV/joo4/w4Ycf4vj4eKTznyAeK0stn8zn8xBFsc+FcHFxgY2NjdD3qKq6chdJBEEQD5FGo4Gzs7OplsEdYq1WC4ZhjC3u8Dbpj+1Op+u6ePfuXVCeViwWIUkSEokE0uk0DMOgEgpiaXieh3q9PtUyJEka6jQzDGOlsgI788FEUYx8LTrrcq7OCfn6+jri8fjMlk0Q80CWZayvr+Pk5GTo61zXxatXr7C2tgbDMCa6mZZMJqHr+lwa7giCgM3NzdDMs3q9Dtd14bouDg4O8PTpU4iiiJubG5TL5cA9n06nIQjCRLlpyWRyqMu2VCrh4uIi9Hxj2zZub29xe3uLRCKBvb29sddPEA+ZpTrFFEXB13/91+NLX/pS8JjnefjSl76EP/yH//ASR0YQBEG0Wq2x2pP3out618WZaZoQRXHsEqTHKP5cXl725TU5joNSqYS3b9/io48+wsXFBbVmJ5aCIAhTOzqGHdeLyuIaB0mSoOs6DMOAJEkwTTPSHy8XnVXpZbPZhGEYEEVxIa4YgpgFUcLkgXaG4PHx8cROVMYYtra2Zl5OrOs6Xrx4gUwmE3ru6vy9bjabODg4wMnJCc7OzmCaJjzPg2EY2N7extbW1sTXNcMcd6lUKtINs1qtRs5zguhh6e0rfvAHfxB/6S/9JXzDN3wDvvEbvxFf+MIXUK/Xg26UBEEQxHKYpiRHluVQdxefII4z4X1MJZScURestm3j8vISl5eXyOVy2NzcXNDICKLNxsbGVJOrQcf1qjnEOL7vd7lPxhmnaZoQBGFmn81xHDx58mTiLn0EsWgYY1hfX8fR0VGk15umGXSzHhdd1/Hy5Uu8efNmZo6x9fX1oUJb73qazWZwU1FRFORyOaTT6bne5BMEAU+ePIHneWi1Wjg9PQ39/LyUc5hIyctB+Y1NRVEQj8cf5U1K4nGwdFHsO7/zO3F5eYm/+3f/Ls7Pz/G1X/u1+OIXv9gXvk8QBEEslkknu7Isw/O8gVlkpmmOVVI0j5bqD4nr62uoqjp1QDFBjIOqqsjn87i8vBz6OsYYVFXtcp0KghDqcuQOrFVk2hJIz/OCLDVRFCd24a6trSGfz69k6D9BDCORSCAWi0UqvXYcBzc3N8jlchOtizEGRVFmJooNE4N83x94PDPG8PTp04U2whAEAbquY2dnB69evQq9lms2m6GiGBfDisVi3zlalmVks1lks1kS5IkHB/PvuX+yUqkglUqhXC4jmUwuezgEQRAPBtM0cXR0BMYY4vE4SqXSyPcoigLHcUa6uxRFgSRJwcVaq9WCpmnwPA+CIAT5G7IskygWgUKhgPX1dViWBdM0oaoqNE2ju7rEXPE8D2/fvh048ZRlGbIswzRNGIYB13Xh+37QgKOXVXWJ8Yyiziwx27anOjfx8904eYnpdBo7OzsTr5Mglk2r1Roo1PQiCALy+TxkWUYikYgU1t/J+fk5rq6uJh1qF8+fPx/onr++vh6av2oYBvb395fye8zPubZtw3VdNBoNXFxcBNcMva89ODgYKSQKgoBsNotEIgFN05YmkE3qJCQeD+PoREt3ihEEQRCriWEYePHiBRzHCfKsBqGqajDRjXKxa1lW32SwczIsCAIURYEoiiSKRcA0TXz00Udd21QURcTj8eAvSrc/ghgHXq7z+vXrLieVIAiQJAmWZQXHbxSxax7h2LOAT7xUVYVpmtB1ferzEneWGIaBVqs1ssvv06dPKVSfuPeoqor19fVImWGe56FYLAKYTFia5W/eIKeX4zh9DeOAtoBdr9dh2zZM00SxWJxJFZTruvA8D57nwff9wHk6aGy3t7col8t959be8lTf93F8fBzpHOx5Hq6urgLBUZZlxONxZLPZhXXCrdfrOD4+RqFQGJjzRhDjQKIYQRAEMRBJkiAIAt69exf6PJ/QzTrwnYth494ZfqyElaO4rotyuYxyuQzgLqDX9/3gL5vNYm1tjUohiImRZRlPnjzBwcFB4BD1PG+iScqqFi9wBysX9hqNBlRVncl5zzRNMMZGuuSGdZ0jiPtELpeDZVm4ubmJ/B7TNHF9fY18Ph/5PalUKsg3dV0XkiTh+vq66+ZRlO7Wuq4P/I0UBKHvXLe7u4tUKoUPP/wweOzy8hKxWCySsM2dXVz44q5v13Xx4Ycf9jnxDcNAPB5HLpfrGqcoigNLO+v1Ol6/fo2NjQ3E43FcXl6iWq2OHFsYtm2jVCqhVCpB0zRks1mkUqm5XlfEYjE8e/YM19fXePPmDTY3N+kcSUwFzTYIgiCIgfi+P7DLoaIocyt1EgQhEG6I2RCWiXR9fY3b21sUCgVks1nKKSImgrs43r59G0zYJtmXGGMrecw3m82uie+sx8knwYNIp9N0bBIPBsYYNjc3gxs3URn3GJAkqa9kKhaLoVgsIpFIIJFIQBRFVCoVlEolOI6DVqvVd2zHYrGhYyoUCri5uQnENf7+XvfnOOeMd+/eBa6tra0tZLNZWJaFVCoF3/eDG5aO48C2bRSLRfi+3+VGY4yhUChA13UcHBz0rYN3yYya8xaFZrOJ09NTnJ+fI5FIIJlMIh6Pz0Ugk2U5aPhydHSEtbU1ylYlJoZEMYIgCCIUx3Hw7t270Au5eU5eO0seRpUUEdPjui7Oz89xc3ODnZ0duttKTISu69jf38fBwQEURRk7SJ7ndq0qoigGwrKmaTMfq23b0DStb7tJkoStra2Zrosglg1jDNvb27AsK/KxNIvSPE3T8OTJk67HUqkUUqkUAODq6ioo7TQMA7quDxXFACCfzyOXy+GrX/0qgLsbUJlMBtfX18Hrms0mEonEyDEyxrC7u4tKpRIIYUD7829vb4e+x7IslEqlwNXaSec11f7+Pm5vb7viMGYliHXieV7gVGeMIRaLIZlMIpFIzDzKIR6P48WLF8H16qTNGYjHDYliBEEQRB+u6wY5QWF3Z+cxKeRwx0TYBJGYH5Zl4e3bt9jd3aXGNcRE6LqOvb09vHnzZqz3rWrAfifcKTbPsTabTRiG0ZXNmEgkyCVGPEgEQcDOzg5ev349sjkP72I7b3K5HDzPQzKZhKZpkR3rfHyd+YCbm5vQNA0nJycAgIuLC+i6HqmEUlGUsUpFFUUZmFmmqio2NjYgyzJisRhisRgymQxOTk5mHn0Rhu/7qNVqqNVqEAQBm5ubyGQyM1s2v07c3d3FRx99BEmSAiGRIKJCv7IEQRBEHzc3N7BtG77vQ1VVGIYx95biiqLAMAxIkgRJkkLL/Yj54vs+jo6Ouu5uE8Q4GIbR5Wbgofsc3nm28/WrLogBbbfFIsZqmiYkSQoajVA5EPGQUVUVz549G+lQlmV5IeIwYwxra2vQNC34d9T18mukThGtUwBjjOH09HSsjrOzIp/PdwlFvJHSxsYGYrEYFEVZSFi953k4OTnBycnJzKoNDg4O8Pr1azSbTaRSqXvxe0KsHuQUIwiCIPqoVCrB//MLDEEQIMsyZFme6UWHrutBN8plXCwS/ZydncGyLArhJyYik8nANE3UarXANaFpWhBWzye4mqbdmwmM7/sLK+/kbtkXL14Ek3OCeKhomob9/X3c3Nzg4uIi1DW26m7JzvNDp9gjiiJSqVRQivn27VsUi0Xs7Owsa6gBjDHk8/nAkea6LkqlEq6vr8furjtupEapVIJt23jy5MlU363neRBFMfidyeVy1KCJmAjaawiCIIg+stlsYPnn8Dbg414sDYLfmVzlHKHHzPX1NW5ubpBMJhGLxQJRdFS+CkEA7dKhN2/ewHXdvg5o/BxyXwQxAAtxUXQSi8VIECMeDYwx5HI5JJNJHB4e9kUnLPr4G5dGoxG42ztFPUEQsLu7C9/3cXh4CN/3R5aKLgtRFIN8tEqlguvr67meo2u1GiqVCtLpdOT3XF9fB5lhtVoNx8fHcBwncPKGCWz8Zuu8qx2I+w2JYgRBEEQf6XQal5eXc3Vu8fJMYnXxfT8Iy+Wsr6+jUCgscVTEfUAQBMTjcdTr9QchfC96IjurzB2CuE/Ishw07Og8b6y6KOb7PgRBCA2653Cn/Soc247jgDEW6gRnjAXNBxqNBg4PD+cWZ1EulxGPx0PdXa1WC81mE6qqQpZlWJaFYrEIRVHgOA7Ozs7g+z50XUehUBi43QVBwMnJCXZ2dsj5TgyERDGCIAiiD8YYNE2bmyimKAqVSt5Trq+vkc/nV36SQiyfdDqNarUa/FuW5a79JkwUn5UTddYssnxLEARqdkE8WkRRxNOnT/Hu3btAvNE0LSiREwRh5X5/YrEYXr58CcZYqMDDGMPW1lYgni2b8/NzSJKEjY2Noa/TdR3r6+t9lQOzolqt4sMPP0Q8Hkcmk0E8Hg+2j23bOD097etCfnh4COCug+kop5kkSbBtG0dHR3j69OnK7TvEakCiGEEQBNFHs9nsyhWbNatwUUhMhuM4sCxrIZ3AiPuNpmlQFGWs0mvewW3VWKSrVRRFOkcSjxoujHFs28ZHH30UCCSMMcTjcaytrUHX9SWNshtZloc+zxhbCUHGtm3c3t5GbuKRTqdxfX09t27gvu+jWq2iWq1CFEWsra0hl8shHo/j/fffx+3tLcrlMur1OgAEDUiy2ezIbc5ZX1/H4eEhisUi1tbWVuJ7IFYLEsUIgiCIPjRNw8uXL3F2doZarTbz5dMFyf2mVquRKEaMxPd9MMbGcn+tanlLq9UaO0x6UmzbRqvVomOMINA+jxwfH3c5hjqFFF3XkU6ng6ypXiqVCnRdjyygPHR4R81B2yvs9el0Gufn50NfM4tzo+u6uLi4QDqdDm4OcAHMcRx4ngdJksa+aZBIJJDNZoNYEN7ogK5FCQ6JYgRBEEQoqqpib28Pl5eXKBaLM1km7zj3EDKGHjO1Wi3yBTXxeOHlLa1WK7L7q9lsLkx8GgfP86CqKizLWsjYXr16hVwuN7K8iSAeOvV6HZ7nQZblUIG90Wig1WrBdV0IggBBEAJBhZfgAe3Yhlgshng8jlgs9mi7FIqiiJ2dnbFEd8Mw5jiiu3Vsbm4G3Yl7mfb72tzcBGMMnueBMYZqtYpWq4VcLkfiGEGiGEEQBDEYxhjW1tagqirevXs39fJUVb1XHeeIcPgkhUq8iFHwjmZRM2k8z4NhGEPPE3yCZprmyNfOEu7eWkR5J29yQaIY8diJx+OIx+MAgKOjo9BoB8/zRt68sywLlmWhVCpBFEW89957K+tMnSeMsbEzC3VdDxoJzItWqwVN0+YmUDHGsLm5Gfw7kUig1Wrh3bt32N7efpT7AnEHXc0SBEEQI0mlUsFF6TSsaityYjw8z1s5Jw+xuiQSibFe32g0BpY6aZoG0zQDIaxTEFvEpGaRZY2r0KWOIFaJzc1NbG9vI5PJTHUcuq6LYrFI1yQRaDabODk5mfu24qWTi7y2yOfz2NzcDEpzm80mjo+PVzLXkpgv5BQjCIIgIpHL5abOFyOL+sNA0zS6q0pERpIkxGKxICh5FDyLjCMIQuDQGjZhWtRkalEOyVnciCCIh4Qsy8hkMoFg7LouTNOEKIpQFAW2bQeNgmq12tBzwvX1Na6vr4P3yrKMWCyGTCZDLuhPcF0Xb968GSmIjbq2UxQF6XQaqVQKAFAul1Eul/vEp6urK5imid3d3YVlwHWuR9M0ZDIZHB4eIpFIoFAoPNoy28cG8+/5rd5KpYJUKoVyuUztqwmCIOaI7/s4Pz/H9fX1xMvQNG1uHYyIxZHNZrG1tbXsYRD3iKurq6FBzWHwzpWO8/9v786DJEnP8oA/eWfWfXZXX9M9s7ualRToxBqtLGHWkrWrUCDLCIcAgQ6EJIOQAklYh7FODKsDJGOMkQnQSn84QFIYYzA4zKLD4NAgHHKssUCsdmZnpqen7+qu+8rj8x9DJl3d1Ud119n1/CI6Zroqu+rrmezszCff7/2cE39Nv48x/gWU67p9r5xYWlpiMEZ0Sq7rolwuo1arodFooNFonOhnVlVVZDIZJJPJjjd/XNdFsVhEMpkMAvy9oZC/0u7+SjbbtlGpVLqqAPX7Xw3rhuLGxga2traCzzOZDIC71bz1ej3491QUpW0hBJ+iKMjlckgkEh2/h0aj0TF0UxQF991339ACKdd1sbW1hWKxiEuXLnGRhjHVTU7E6JOIiE5EkiTkcjnUarVTN8pvNBoMxs6BcDg87CHQmDlNuNNqtbr+ml5XeJimCSEEXNeF4zhBo29d1yFJUl+n2bBahej0FEVBIpFAIpEIHvM8D67rwnXdIGxyHAeFQgHFYjEIdvz+Y5ZlBV9bq9Wwu7uLRqOBer2OjY0NuK6LmZmZYOGZ27dvo1QqQQiBcDiMWCwG13VRr9dRLpeRSqUODcVc10W1WkWlUoFt2/A8D/V6HdPT00Nb2CYajSISiQQrVpqmGTznOA5u3rx55PmcoihHhoCmaWJqaurADRPXdbG+vh6sEjlofpiXSqXQarWgaRqKxSJ2d3extLQ0lDFRfzEUIyKiE5MkCdlsFsvLy6d+jUE2q6b+GMRKVHS+7K026KdOq9Od9fU6VUD4gZ2u61BVFY7jnCrEO8rW1hYWFxd7+ppEk8xfnXJv5Y+u6wiFQsjlcoc2exdC4M6dO2g2m1BVFZFIBKZpwjCMtuAsFApBURQ4jgPHcVAqlWBZFuLxOHK5HHRd7ziuZrOJGzduBFWxsiwjkUhgZmamLYgatKN+16uqiosXL+LWrVuHns+1Wq1jF+VJp9MoFAoHwrVCoYBkMjnUm3C6rgf/Z9FoFKurq8HNXTpfGIoREVFXotHomUItIQT7UY2xVCrFqQTUFc/zUCwWB/JevZxmdJKqVr+ixN/ef6wXUyv9qV8MoYn6T5bltoBrv6WlJUiSdOSUvm4quoQQKJVK2NnZQbVahWmabb23xuE8SVEULC0toVgsQggBz/PQarVQqVRgWRbS6fSxFa+SJGFxcRE3btw4cGPh9u3bMAwDmUym6wVbesGfCqvrOmRZxvz8PDY3N7GwsMAeuecMQzEiIuqKJEnIZDK4c+fOqV9DCIFQKIRms3mgCkNVVXiex1WhRpBlWcjlcsMeBo0ZWZYRjUZRLpf7/l69vJBsNBpBFdhJt5dlOTiGaZp26qnmvnw+z1CMaMgkSTr0ZlCj0UA+nw9Wzc3lcidaGXN3dxerq6sA7p73LCwsDGxl216SZfnMK+VqmhZUne29EeFX3BmGAUVRYJrmQKeVN5tNXL9+HaqqYmpqKphOub29jWw2O7BxUP+xWQEREXUtkUicqVqoXq+jVqsduONqWRY8z+vqwtYwDIRCIYRCIViWxSqmPjFNE4uLi+xzRKeSSqUG8j6NRqOnx4BuqwH8MN9xnGCq1VmUSqWeTwklot4xTRPxeBySJKFcLuP69evH3gBotVpYW1sDcDdUWlxcHMtArJc0TcOlS5c6NkTf2dk5tn9ZP5imiYWFBSQSCdTrdTiOg3Q6feYQkEYPK8WIiKhrfrWYf1J3Ws1mE4qiBA1v/aqKk16IhkIh1Gq1tsfGYcrBuDFNE0tLS1yanE4tEokMpJegEKKnwe1pAqlWqxVUmOm63tXqmfsJIbCysoK5ublD+xER0XBFIhGEw2GUy2UUCoWOfQj3qtVq0HUd4XAYiUTiyGmbk0SWZSwsLKBUKqHRaKDVaqHZbAa9HZ966ilEIhGk0+mBTKeUJAnxeBzxeDx4bBArD9Pg8eyWiIhOJZlMYmtr60wXfAA6njwedcLhr4DUaDQOBGKHvR6dnmVZWFpaYthIZyJJEmZnZ3Hz5k0IIYY9nBPpZurkYV/bi+b7Qgisr6/jwoULZ34tIuoPSZIQi8U6Vjrtt39VzPNGCHHqnludgijgbvXtnTt34LruUKtnZVnG8vIyhBCYnZ1l0/1zgqEYERGdiizLmJ6ePlNvscP4F82KokBRlGAJdU3T4HlexzDMx5Ute4eBGPVSOBxGJBIZWG+xvavMCSHQbDa7usN/2lBM07Rgmo/fW+w0F3GGYUCSpI5TzYmIRlG9Xsf6+nqwMEGvqKo6EqvxSpKEubk51Gq1M98UptHB37BERHRqiUQC29vbPQ+h/BWebNuGYRhBtcVJLizHpQpl1EmShAsXLjAQo54aRLjjH4/2VhSEQqEgZBJCwHGcY48np52GuT8E849lxzFNM5hKbtt223GVK50RUTdKpRIKhQLC4TDi8fjAgvWtrS1Uq1VUKpWhrBg5CLquczr7OcNQjIiITk2SJExPT2N5ebmnryuECC4iuw3cePHYG9lslosWUM8Na3qzEOLASpD7q0rPMl1y/3vt5U/59hcRkSQJjuNACBH8jLmue2QTaS5wQUTd8AOp1dVVbGxsYG5u7sCUxF4TQqBarQJAT6aOEw0KQzEiIjqTaDQKy7IOXHD2iuu6HRvqH6bVagU9x+h0VFVFJpMZ9jDoHBrW1OZOYblt27AsK6geq9fr0HU9uJhzXfdUQdn+92q1WodWip10WuWgGjufpRcQEY0Ov8dZPp9HtVrF7du3sbu7i1gshnA4DNu2EQ6Hg8pUvwdiJBI5dYV4pVIJbnzk83lEo1FWVNFYYChGRERnIkkScrkcbty40bf3aDQawYXrcYQQaDQaXQVp1G52dpaVKdRzpVJpaKFYp2OH53kHwnzP84KgzD9+hEKh4LhykmPQ3gDrtP3E9rNtu++Bleu6WF5exsLCAnuYEY2her2OQqEAwzDgui7q9XrbMa5SqaBSqQSfG4aBUCiEQqEQHNtCoRCWlpZOdQ6wvb0d/L3VagWrbBKNOv7GIyKiMwuHw0gmk9jd3e3L6/sXqt1Uo/knY/50Jc/zWD12AtPT0ydaPYuoG81msy+LcpzUScMkx3GCyjA/WPfDsZNWje29mOzldNFWqwXDMHr2evvt7u4GFSW9bpJNRP21ubmJzc3Nrr6m2WweuFHheV7Pfva3trYQi8V4k41GHkMxIiLqiVwuh3K53JfVeBRFOdX0zP09LUKhEOr1OpvxdyBJEpLJJKdNUs85joNbt24NpJ+YaZodL8BOM/2wVqu1TcU+yYWdpmltFaqe5/WsV1m/p1D6r1+tVlEulxmOE42JUqnUdSB2mFwud6pQzHXdA+dczWYTOzs7PK+gkcdQjIiIekJRFMzOzva86b7/2r24oPYvVk3TbFuZjoC5uTkkEolhD4POGSEEVlZWBtZ0WZblnk6bbrVaCIVCwd+P02m6pKZpfWng30uu66JQKASf7+zsMBQjGhO96OkaCoWQyWQQiURO9fWNRqPjORUb7tM4YChGREQ94zdo7XVFSK+n8fg9yvxeF6qqTnQFmSzLvACmvqhWq209bMaN53ldhWydwq9uFws5TD+OT/5479y503bx6jfMPm3DbSIajHw+39bL67RisdiZzgOG1S+SqBcYihERUc+4rtuXKT796G0jhAguAv1qkEltzH/YlDOis9pbfTQp9h9LWq0WWq3WmVfp7Uco5nkevvvd73Z8zh8zEQ2W4zgolUqoVCpQFAXT09MdF79oNBpYW1vryXv6FbGnddjiHP1amZyolxiKERFRz2iahmQyiZ2dnWEPhbrQ715FNJk8z0OpVBr2MPrOD5Udx2kLwFqtFoQQwc9XvV5v61HWrX5M9z5qLAzFiAZvc3MTlUqlLVgvlUqYn59HNBoNHhNCYHV1tSfvmUqlzhyKHbbKZL1eR7VaBQAUi0XMzMxwEQ8aOQzFiIiop7LZLIrF4kCaavdSvV7vy9TPcTCp00apvxqNxrkMXHVdh6qqwYq2nYIlvzpCUZS2PmNn+fcolUpIJpOn/vr9ms3mkVUm7AVENDi1Wg35fB7FYvHAc67rYnl5GYuLi0HPL0mSevK7W9d15HK5M7/OUX0Tl5eX286tJjkYazQaME1z2MOgfRiKERFRT2mahnvuuQe3b9/uSdn8WSoruiFJEmRZnshQ7DwGFzR853HajGEYaDabJw6MXNeFrutBKHaWhvtnreTYq1AoYHV19cif/UKhgEwmM7EXr0SD4odeRx0fhBBYXl6GaZqQJAmqqvbkZ1MI0ZNw7ajj097zqp2dHbiui4WFhTO/5zhaX1+HYRiYmZkZ9lBoDzYQISKintN1HRcvXkQ6nT7zaw1qhUjTNCd2NUqGYtQPw+gn1u+qx25DLUmS2hpQn/ZnTZKknlSJCSGwvr6OlZWVY8fSbDYHckOCaJLZto0bN26c6NjiL/xRrVZRLBZ70gfVtm08+eSTZ14QhceKk5EkaSLaCowbhmJERNQXsixjZmYG99xzz5n60hiG0cNRHW6Spwpx+iT1WqPRGEqlWL+qmkzThGVZkGW5q/fwp1nudZpFLdLp9KGNrE9CCAHHcbCxsXGileqWlpYgy/LAjr9Ek2p5eXnogZLjOLh58yZu376NarV6qnOC3d3dE287iRX5vkwmg3g8zpuRI4bTJ0eQf6fgLCc/RESjwrIsXLp0Cbu7u9jY2Oj6ZGhQ1VuO40DX9YkMx3jhS73mN1YetH4EvPtXjdQ0DQCCKUxHVWvsr/4IhUJdh4WKoiCbzXb1NT7btlEoFJDP57uqcvOrfbkqLVF/+MeqYQdiexWLRRSLRViWhbm5uRP3vhJCoFwun/h9arUahBATOTU7HA7DNE1UKhXEYrFhD6eN67pQFGXYwxgKpi4jqFar9bRvBBHRsEmShFQqhVgsho2Nja7uKNq2feCitJ/8qra9J2u9mKIwytj0lXpt75TBQXIcB7Is9+QuvCRJME3zwLFnb1DfarWCHj/NZvPA+wohEAqFgnO7bo8liqJgaWmp6wuVfD6P7e3tU99UqFarPW3qT0R3eZ4HSZJw/fp1qKo6kpXa9Xod169fx8zMDFKp1LHbt1qtrkJ3z/NQr9cn9npXlmXk83m4rjv046zrusEiD5ZlYXp6eqjjGRaGYiMoEonwzhwRnUuqqmJubg6ZTAZbW1tD6Tl0lE5VYn5VyHnGUIx6bVj9+Wzb7sniHIqiQJblE4Xx/nvJstzxvf1ArNsqVMMwsLCwcKqfz3K5fKb/g0ms4CDqt3w+j2aziVQqNVIVYp0IIbC6uopGo4GpqSkoinLocWFnZ6fr1y+VShMbikmSNBILDezu7mJ1dRWyLCMejyORSAx7SEPDUGwEMRAjovPOMAzMz88jm81ic3Oz4xLke7cd5ip2k3BxyFCMek3TtKDSSpKkYKpMo9Hoey+VRqNxpupSv31Ft6GS53mHnsN1UyEWi8WQSqUQDodPdfxpNptnmr4aDocRjUZP/fVEdFClUsHa2hokSUI2m0UqlTpVmDRoOzs72NnZgWmamJmZQTgcbnve87yuqv9929vb0DStJwsyjaNRaJNkWRYuXLiAcDg88fnD8P83iIhoYvmVENlsFrdv3x7alKujtFqtU017GifsKUa95u9T+4MpVVVPFcJ2Oz2nXq/Dsiw0m00YhtEWLtXr9UOnLPnTmQbdCFpRFCSTSaRSKei6fqbXWl9fP9OUrGQyObF9ZYj6ZW1tDcDdCqzr1693vZLtsDUaDaysrGBhYQGWZQU3O/L5/KlvdBQKhYkNxYalXq9DkiS0Wq2gvxkxFCMiohFgmiaSySTW19fbHrcsayQa39dqtZ5MyRpFiqKMxB1LOl9kWe4YzDiOc6qLQUmSEAqFYNs2PM+D53kdX1/TNKiqCkmS4DhO0LvGpygKQqFQEHz5H0KIYGXJQV+sJpNJzMzM9OxO/VnHz0CMqPf2Bu3jFoj5bNvGU089BV3XEYvFUC6Xz3Qzs16vw3EcnoMMSKVSwc2bN4PPk8kk5ubmhjegETLZdXJERDQy0uk0Lly4EFRJKIoCx3FGpqdXo9E4lydup13VjugoZ6122k8IgVqtBtu2gxALuBu+aZoGXdc7BnF+z5pQKARFUeC6LqrVKoQQaDabcBwHQgiYpglFUQbeCy2dTmN2dranU1fOepzq9f8d0aQTQoxtENZJq9XC9vZ2T6r7J33a3jDtnwo7yc7f2T0REY0lSZIQi8UQiUSwubmJ7e1tuK7bs8bZvRrjeTLJ/Tyov8LhMNLpNPL5fF/fx/M8mKaJVqsVXHjuvfhstVqQZfnA9Od6vQ5N04IQrFfHl26mXWazWUxNTfX8uHKWUMs0TU6nJuohv2E9HeRPwaTBiEQiuP/++9FqtWAYBquC92A0S0REI0WWZViWdeCxYZNleWgr6vXL/l5LRL2Uy+UQiUQG8l5+xVcnR/W76fX+f5LKCU3TMDc3h+np6b78/J3l3zwWi/VwJESTTQiB5eXlUzWinwR+TzIaHFVVg8pp+nvDv8ogIiLaZ3+lg23bQ/8Ffh6bkXKaFPWTv+z8qE47tm37QAB/Fic5RpmmiXvuuQfJZLJn77tfOBw+9b95PB7v8WiIJle1WkW5XB72MEba9vY2tre3+74qMdFRGIoREdHI6RSKAf2pGJNlGYZhIBQKHfjYe5E7CtM3e21U+rXR+aUoykgHLfV6fWDTBQ3DwNLSUt9DQlmWkUqluv46y7I4dZKoR+r1Ou7cuTPsYYw8z/Owvr6OJ554ApubmwzHaChG89YdERFNNH9FxL29gSRJ6qpfz3FCoRCazSZc1z10ypO/4l29Xocsy+fqZE2WZU6VooFIJpMjO0VGCIFWq9WTvoWu68IwjI7Hk3Q6jampqaFXvB4lkUgMewhEY81f7bZcLiOfz7NfVhdc18Xm5iZ2d3cxPz/PJvA0UAzFiIhoJPmrT/p0Xe/Z6k2SJAWB2FH8Fe/C4TDq9XpP3ntUzM/PsyqEBsI0TYTDYVSr1WEPpSN/JcpeBGOHHaPS6fRAA7HTHK9GuaKPaFStr6+jXC5DlmU0m81zdfNsGGzbxo0bN5BKpTA9PT3SNxI6abVaqFariMViYzf2ScZQjIiIRtL+BtS9vONqWdaB1eiO4rruuTrRzWQyrBKjgUqn0yMbigF3jy+NRgOhUAi2bZ9qUQ3Lsg4NowbZV61SqXTdxygSiYxs7zeiUSKEQKVSwe7uLhqNBlqt1rCHdC7t7OygWq3i3nvvHasFgRRFwfr6OtbX1zEzM8MK3DHB335ERDSS9vcP62Uo1e1rNRoNaJp2LlafDIfDmJ6eHvYwaMJEo1Houj7yF5C1Wi0Ixrp1VCXr7u4u0un0WYZ2IkIIrK6udv11rBIj6sy2beTzeVSrVWiahlardS57jI4i13XhOM5Y9T9VFAVLS0u4ceMGVlZWUK1WMTMzMxKrqNPh+L9DREQjaf8JhD+9qRfOU9VXt9Lp9FjddaXzQZIk5HK5YQ/jRE4zTdswjCODtI2NjYEEgq1W61TvE41G+zAaovElhMD6+jq++93vYnt7G/V6HaVSiYHYADmOg5s3b/asdcagWJaFxcVFyLKM3d1d3Lp1a+y+h0nDUIyIiEZSv4IbVVVPddF4XoI09hGjYYnFYmMRvrRarQOrzx7lJFWknudhZ2enF8M7VD6fx5NPPtn113HqJFE727axvLyM7e1tNssfsmazie3t7WEPo2vhcBiXLl2CruuoVqu4du3aSLcQmHQMxYiIaCR1Cq4ajUbHEnRd109cXq/r+qnGcx5CMUmSTv39E/XC7OxsT6bCaJoGy7JgWVZPV6X11Wo1uK4LVVWPrFBVVRWe553o+FAqlXo5xAO67SPmY39BmnRCCDiOg0ajgVu3buGJJ5449c8T9V6hUBjLcNI0TVy6dAmJRAKO4+DGjRsjuxLzpONtISIiGjlCiEOruQzDaGtmbRgGms0mgLuhj6ZpUFU1aKTvh0CSJEFRlFNfQFuWBSEEbNuGLMtQVfVEK1iOinA4jFwux6mTNFSapmFpaelUFU37X6ebxTJOy3EcCCEQDochhIDruhBCBMcS/2L6JPxVycLhcF/GetppXQzFaNLt7u5CURRsbm4G5xM0OhzHQbVahRACkUhkrM5jVFXF/Pw8EokE1tfXsba2BlmWkUwmhz002oOhGBERjRz/QrSTvSdD+xt3+2Faq9WCaZqQZfnAhbNpmpAkqeu7jvtfx3/fUCg0kIvzs5iamsLU1NSwh0EE4G6QbZrmyPfmkWUZpmmiVqt1nPaiqmrXfWJqtVrfQjFN07oeTygU4tRJmmhCCGxubkJRFAZiI+zWrVsQQiCVSiESiYxdmB+JRHDPPfegXq/DsqxhD4f24fRJIiIaOUf1/Go0GrAsC6FQCLIsHxpuNZvNjie4/kqSJ+0XdJaxjgJJkpBKpYY9DKI2oz6NNxQKQQhxZODtOE7X30c/KxxOsxBJJBLpw0iIxockSZBlmYHYiPPP9XZ2dsayxxhwd18LhUJjVek2KXhriIiIRs5RQZPnecH0yaMuAv2pToe9vqqqJ2qQfZxRWVHIsiyEw2GEw+EgMPTxBIxGzajuk5IkwTCME1d/drtwRy/6qR0mlUphd3e3q68Zh4UPiPqtVzfJaDAYYFKvMRQjIqKRc5ITHlmWzzT9ynEcyLLc1pPstM7Sq+wsJEnC1NQU0ul0xwUIiEbVKIZiqqpCkqSujivdVoqGQqFuh3VifgXtSQM9RVFOVV1GdJ44jtPWp5RGn+u6fe3PSJOnL2fQN2/exJvf/GZcvHgRlmXhnnvuwYc//OG2E4ebN29CkqQDH3/xF3/RjyEREdEYOcmFpmEYZ34fz/PQbDZhWdaZ+ur4U6j8fmX9ZhgG0uk07r33XmSzWQZiNHZGMRQ7TeWo4zhdHYu6reTqVjchVzQaHcn/B6JBWltbG/YQ6BRu3rzZ9xV9aXL0pVLsb//2b+F5Hv7jf/yPuPfee/Htb38bb3nLW1CtVvHLv/zLbdv+6Z/+KZ75zGcGn6fT6X4MiYiIxshRlVt+8+tels/7d4n9167X61014ve/vtFo9K2BuCRJmJ6eRiKRYGNsGnujVqGkadqpq0VOOvVKVVUkEolTvUevxwKg72MhGgedFtGg0SeEwPLyMqanp5HJZBjw05n05az64YcfxsMPPxx8funSJTzxxBP4jd/4jQOhWDqdRi6X68cwiIhoDPkrSHYSCoVQr9f7ttqj53mo1WpBI/5RWR0vFAphbm6uJ9VxRKOgn9MIu3XWkPm4qdOSJCEWiyGXy/W1pxhw8rBR13VOPaKJJ4SArusj0xuUurexsYFms4m5uTkGY3RqA5tvUSwWO65+9apXvQpTU1N48YtfjD/4gz849nWazSZKpVLbBxERnR+2bR9apeV5XlcVXGcZg1/11W1FS6+nMk5PT+PixYsMxOhcOetUY0mSelIxqaoqHMc504Ibh/3Mq6qK6elpXL58GQsLC30PxAAgFoud6FiRTqd5AUkTT5IkFmecA4VCAaurqwM5P6TzaSCh2LVr1/Brv/ZreNvb3hY8FolE8Cu/8iv48pe/jD/6oz/Ci1/8Yrz61a8+Nhh75JFHEI/Hg4+FhYV+D5+IiAZolFYVajQaaDQaUBQFlmWd6Gs8z+vZ+09NTSGbzfLilc4dSZJO/DPViRDiRFMFjwqiTNPsSYXI/p9P0zQxPz+Py5cvI5vNDnS6syRJuHTpUseqtHA4jPn5eTz96U9nuxKiv+Ov3EzjbXd3F+vr68MeBo0pSXQRqb7//e/HJz7xiSO3+c53voP7778/+PzOnTv4R//oH+H7v//78Vu/9VtHfu3rX/963LhxA3/+539+6DbNZrPtgqlUKmFhYQHFYhGxWOyE3wkREY2q7e3tQ09sLMsa2ipRuq4fuwCALMvBhfpZKk+Au/1+OB2AzrPNzU1sbm6e6mv9VRYPW21RkiQYhoFGoxEEcHt7BZqmCSFET0L4vcelUepvI4RAsVhEpVJBKpUaqSmrRKPC8zzYto1r166x0ugcuHz58kCqcmn0lUolxOPxE+VEXd26es973oM3vvGNR25z6dKl4O+rq6t48MEH8aIXvQi/+Zu/eezrX7lyBY899tiR2xiGwSkkRETn2FnDpH5RVfXYUMwwDNTrdSiKAkVRju01dNTrzM7OjsSFNVG/xGKxU4divsP6/lmWFYRlQoi24EySpJ70C9Q0DZ7nBdMnTdNENps98+v2iiRJSCQSbKhPdISNjQ1YloV4PI5CoTDs4dAZlUolVsJS17oKxbLZ7Il/2d+5cwcPPvggnv/85+PRRx89UY+Vxx9/HDMzM90MiYiIzpmjQrFeTk3shmEYJ2ru74dYruueqaotEon0vDcZ0agxTfNEFZhH2R8c+1VhR/289qIaZG+Fmh+wNRoN7O7uIplMnvn1iaj/PM+DrutYWVk503RuGh3VapWhGHWtL00O7ty5g+///u/H4uIifvmXfxlbW1vBc34zwy984QvQdR3Pfe5zAQC/93u/h8997nPHTrEkIqLz7bAeP4qiDK3f2EnDuL3bnaXKq9vm/kTjKhQKnSkUA+7+rPk9xlRV7dvqtHvtDe9d1w0a9o/KirVEdDxZloPjxbBaM1BvcQosnUZfQrHHHnsM165dw7Vr1zA/P9/23N4d9Rd+4Rdw69YtqKqK+++/H1/84hfxQz/0Q/0YEhERjYnDQrGzVl+d1mE9i/br5dhGabEBon4KhUJnmrLkui4Mw4AQAq1W69RTlrulqmoQjPmhnCzL7NtFNGamp6dRLpeHVolOvcUqezqNrhrtj6JuGqgREdHo+5u/+ZuOJ6cnDad6zbIsSJKEVqvVMbCTZRmapgVBlizLQW+x0wqHw7h48eKpv55oXDiOgyeeeKLru/vDOh7sZZomZFmG53loNBqQZRn3338/L8qIxkyhUMDKysqwh0E9kEqlMDs7O+xh0AjoJifib20iIhoZruuOVCAG3J1SUavV4DhOEHhZloVQKATDMOB5XhCI+QHaWSvGuKAMTQpVVZHJZIY9jFNpNBqo1WrBlMlQKMRAjGgMxePxYQ+BeqRQKBw644DoMPzNTUREI6PTNCrTNIdeEeLzAzA/KPPDMEVRguqwXkzfYk8xmiSZTOZc7PMMs4nGkyRJ/Pk9JzzPO/OqxjR5GIoREdFI8DwP29vbbY/JsnzkapSjQNd1SJLU0z5g4XC4Z69FNOoURcHS0hJM04SqqjAMYyxDMl5UE42vqampMy2QQ6OjVCoNewg0ZhiKERHRSCgWiwcCMNM0B9Y4+zRM04Rt2z0t1Y/FYry4pomjqiqWlpaC/nxHheGWZZ15xcqT0DStq20TiUT/BkNEfRWPxzE1NTXsYVAPKIoy7CHQmGEoRkREI6HT1Em/V88oCoVCaDQaPV3+O5FIHFi1mWhSqKqKdDoN4G5/QVVVg/59uq7DsiyYpol6vd7XnjGyLMOyLNi2DU3Tjg3HTNPE0tIS+4kRjbloNDrsIVAPMBSjbqnDHgARERFw94J4L8uyztywvl8sy+p5n7OpqSlks1lO36CJFo/Hsb29jUajAcdxBt4wWdd1uK4bHHts2z4y7EqlUsjlcgzEiM4B0zSRyWQOtHKg8XLcSoNE+/E3OBERjYT9odio6kdYZ5omAzEi3G14ncvlhvLeiqLA87wDU7YP62+WTqcxOzvLQIzoHGGgMv74f0jd4m9xIiIaCftDsV5OS+wVf+pWr83NzTEQI/o7kUhkKNOYdF0/UJmmqmrHn/lQKDS08I6I+meU+5jS8UzThK7rwx4GjRmGYkRENBL2r944aqGYX0UC3L0g7pV0Og3Lsnr2ekTnwczMzMCD4nq9Hvxsy7IMwzDgOE7HY1Eul2OQTXQOjePKt/T3IpHIsIdAY4ihGBERDZ3neQeW0B61KUmGYQQr3tVqNZimeeZmrpqmcbUrog50XUcmkxn4+9ZqNViWBVVVDwT1vmw229NgnIhGh6ZpvFE1xkbt3JHGA/caIiIaunq9HlRhAf2bpngW+6dU+CtP6rp+qgtkSZIwOzvLVZKIDpHNZodStVGv14MAfL9IJMIgm+ic48/4+GIoRqfBvYaIiIZO07S2z0etp4ckSR2rRjzPQ6vVQq1Wg67rMAzjRK8nyzIWFxe5/DvREWRZxvz8/MhMUwyHw1hYWBiZ8RBRf0QiEVaDjqlwODzsIdAYGo+lvoiI6FzTNA2SJAW9exRFgW3bQx7V3zMMA41G48ht/MqSUCiEWq126HaqqmJxcZHTM4hOwDRNZDIZbG1tDXUcsVgM8/PzrEIgmgCSJCGbzeLWrVvDHkpHhmEEwZ2iKJBlOfhTkiTs7Oxge3u7rQJ/Emiaxp5wdCoMxYiIaOgkSWoLnkbtwrOb8fhVY57nHVjJLhqNYm5u7sBKm0R0uGGvJJZKpYbS+J+IhmeUblzJsoxwOIxoNIpIJHLsMXFqagrpdBqFQgGO48C2bRSLxZFbwKjXMpkMj9N0KjwrJyKikaDrehCKjdr0yW61Wi1omgZZloM7tclkErOzszxhI+rSMC/kpqeneaFFNIGGcXNOkiQkEgkkk0kIIeC6LmRZRigU6no8iqIgnU4Hn+dyOeTzeezs7Iz9OVYnqqoimUwOexg0phiKERHRSNjbs6vZbLZNpxxHtm3DsqxgwYBsNssLa6Iu2baNtbW1gb+vLMuYm5tDPB4f+HsT0fAdtvpsP2iahlgshnQ63bfKWFVVMT09jVQqhSeffPJcTa3UdZ3T2+lMGIoREdHQtVqtAyeglmUd2ZtrkE4TzkmSFNyNTSQSQ58CRjSONE1DOBxGpVIZ2HvG43HkcrkDC4AQ0eTY3/6gH0KhEObm5qDr+sBumimKgmQyiXw+f+y28XgcxWJxAKM6vUQigdnZWQZidCYMxYiIaOg6XfDWajUoijL0Mn9d14Nqr26oqopWq4VQKIRcLteHkRFNhkQi0fdQTFEUxONxJJPJkeolRESDJ4Q4dnGdXkin0ydetbpXZFnGzMwMDMPA6urqodvNzc3BMIyRDsVkWUYul2MgRmfGUIyIiIauXC53fFyW5aGHYoqinOrrbNtGOp3G9PQ0T9iIzuAsFRSSJEHTNNi2HVR8+iu0ua4bXByepmcPEZ0/rVYLTz311JkrxSRJgiRJh05TTCQSiMViZ3qPs0ilUmi1Wtje3m57XJIk5HI5JJPJQ8/NRkUymeTCRdQT3IuIiGioXNc9tApkFHqKmaYZrN7UDcMwGIgR9YBlWQiFQieaTh2JRJBMJhGJROC6LjRNCy5MW60WbNtGOByGJEmwbZvTmomojeM4pwrELMtCNpuFoijQNC2Yft1qtVCv1yHLMnRdhyzLkGUZiqIMvc/o9PQ0dnZ2guAuGo1iZmYGuq7Dtm2srKwMdXxHUVUVU1NTwx4GnRMMxYiIaKh2dnY6hl+6rqPVag1hRO00TcOlS5eCaQau6x57ca5pGpu+EvWIrutYWlrC2toaqtVq23HBNE3EYjGYpgnLstr6gO2t8pRlGaZpwjTNttclItrLsixcvHgROzs7J5o6aBgGDMM49He+//wo2hvKSZKEubm5oPKqWCzCdV2oqjqQ/mrdyuVyp67kH3f+9F7DMHie2SMMxYiIaGiEENjZ2en43LDvoPo2NzfhOA7m5+eDE7B6vY7t7e3gpKTZbKLZbELXdWSzWSQSiZEZP9F54K8G6Xke1tbW0Gw2g9Xa+LNGRL0iSRLC4TDC4TBSqRTW1tY69hfTNA0zMzOIRqNjfQy67777sLW1BVmWg0BMCIFisQhJkrC0tIRbt251XS3fT5IkDXXq6ShYXV2Foii4cOECg7EekMQozE05g1KpFKyMMek/HERE46ZYLOL27dsHHrcs61TN7fvJr/4Kh8Mdn7dtG6qqjvXJMREREf09PyDyPA9CiGCqYTqdPldhhBACkiRBCIHV1VW0Wi0kk0kkEgmsrq4eegNzGOLxOBYWFoY9jKGq1Wp46qmnEAqFkEqlEI1GJ7Zy7jDd5ESsFCMioqE5bEnwUQyWbNvGjRs38IxnPKPjifDeaVtEREQ0/iRJQiKRGPYw+m7vedfs7GzwueM4I7UCpaIoXNEbQCgUwvT0NDY2NlCr1SDLMu6///5zFdQOEv/ViIhoKJrN5okaZ48Sv0kuERER0Xnjr5q59/MLFy5gbm5uJMLBmZkZ3oT8O5lMBqlUCgDged6hi1bR8XhmT0REQ7G7u9vxcUmS4LrugEdzMketlElERER0niiKgnA4jGQyifn5eczMzAxtLOwl1k6SJMzMzAT/JqVSacgjGl8MxYiIaOCEECgUCgceVxQFuq6j2WwOflAn4Loubt68eWigR0RERHRepVIpWJY1lPeORqOs1t9HkiQsLCwglUqhUCigWq1CCNFxVXc6HPcqIiIauEql0nGJ71EOxPYa1Uo2IiIion6RJAnJZHIo7z2sMG7USZKETCYDAFhZWUGj0cD169dHasXQUcdQjIiIBqpQKGBra6vjc+NwZ0vTtJHoq0FEREQ0aKFQaCjvq+v6UN53HOi6jnQ6Ddu2sba2hkajwXYfXWAoRkREA+WvlDOuFhYWoKpcvJmIiIgmj2EYAw/GZFnmudcxstksAATn2LVarePNZs/zxuIm9CBxzyIiooFSFOXQku5R7xWRy+WGdoeUiIiIaNgkScLS0hJu3bqFarXa9dceF8jIsoxYLAZVVSFJEmRZRjKZZCh2DEVR2j7f3d1FrVZDKpVCJBKBpmkol8tYXV2FJEm47777DnzNpOKeRUREA3XUL+BOfcZGRSKRQDqdHvYwiIiIiIZKlmUsLi6iVCqhXC6jXC7D87xDt1dVFTMzM/A8D3fu3Dl0m0wmg2QyybDmFIQQB0LHZrOJtbW1A9uapsl/4z0YihER0UBZlnXoncVWqwVZlo88sRoky7KQSCQQj8d5h5KIiIjo78iyjEQigUQiASEEbNtGs9lEtVpFuVwOFk4yTROLi4vQNA2VSgWxWAzlcrktvNm7DZ1Oo9E48bTISCTS59GMF57hExHRQEWjUWxvbx943G+g2mq1BjIG4G5lmud5UFUVqqpC0zRomgZVVWGaJgzD6PtYiIiIiMaZJEnQdR26riMajSKXywUBWSKRCNpjRCIRRCIROI6Dzc1N7O7uIpVKYXp6euRbaIwy13Wxs7Nzom0lSUIqlerziMYLQzEiIhqoUCjUsRpMlmU0Go2BjCESiXAqJBEREVGfGIZx6M1FVVUxOzuL6elpTuM7o0KhgNXV1WNnWaTT6bbwkv4eQzEiIhqoTn0nBhmIAXdX5GEoRkRERDQ8DMTOznXdY7dJJBKYmZkZwGjGE0MxIiIaGNd1sbq6euBxwzBQr9cHNo5wODyw9yIiIiIi6od0Oo1kMolSqYR8Pt/xfPokwdkk48RdIiIamGq12nGFSUmSBjoOy7IG+n5ERERERP3gL3qwuLh4oDebJEmYmpoa0sjGA0MxIiIamMOqwToFZf1ULpcH+n5ERERERGflOM6hq7irqnpgNsT09DRvBh+D0yeJiGhgDusb1usVJ8PhMCzLQqFQOBC4xWIxJBKJnr4fERERER1OCIEnn3wSuq4jHA4jHo8HDd9t20atVkOtVoMkSYjH4wxyOiiXy7hz5w4kScJ9990HWZbhOA5U9W6sUyqV2m78hsNh9tA9AYZiREQ0MIeFYqqq9rRabGlpCZIkYXp6GpVKBa7rBqvt+CcORERERDQYQgi4rotKpYJKpYKNjQ2EQiG4rotms9m2raIoDMX2EUJgdXU1OF/e2tqC53nY2dnBwsICIpEI1tbWgu1VVcX8/PzAW5SMI14ZEBHRQLiuC9u2Oz7X61DMtm3oug5JkhCNRnv2ukRERETUPVmWMTMzg5WVleCxWq3WcVs2hj+oVCq1nUdvbW21PReLxXDvvfdiZWUFoVAI6XT6QH8x6oyhGBERDcRhVWIAev5Lu9VqBSX5RERERDR88XgcxWLx2N6unucNaETjYWdnp+Pq7T6/j5iiKFhcXBzUsM4NRodERDQQ/t3AaDSKdDoNRVEA3F0J8qjA7DTu3LmD7e1t1Go13Lhx49A7kUREREQ0GJIkHdvjSpZlxOPxAY1o9DmOg/X19UOfT6VSSCaTAxzR+cNKMSIiGgg/mEokEojH45BlGVtbW5Akqed3BG3bDk4gZFlGtVpFKBTq6XsQERERUXeO6xWWTCYPrKA4qTzPw507dw49T45Go5iZmRnwqM4fhmJERNR3QgjU63UAf1/i7S8nLYToy3vquo5cLodIJMKeCkREREQjQFEUpNNp5PP5A8/pug5N04YwqtHjOA6Wl5cPne0QCoWwsLDARvo9wFCMiIj6TgiBSCQC13Whqio8zwtCssOa759FNBrF/Px8MEWTiIiIiEbD9PQ0qtVqW/uMmZkZJJPJni68NI6EECgUClhfXz90wYFEIoHZ2Vne9O0RhmJERNR3sixjfn4++LxWqwUVYo7jIBQK9azvVygUwoULF3jnjIiIiGgEybKMhYUFlEoluK4LXdeRSqUAYKIXSqrValhfXz/2nFhRFAZiPcRQjIiIBs6fOulrNpuQZbknvcUsy2IgRkRERDTCDMNANpsd9jCGzvM8VKtV7O7uolQqHbqdLMtIJpPBea7neQzGeoShGBER9V2lUsHW1hZisRhisdiBUEzTNLiu25NQbJLvMBIRERHReCgUClhdXT32/DedTmNqaoptQfqEoRgREfVdvV5HtVpFtVrF2tragecbjUbPGqtylUkiIiIiGlWe52F9fR07OzvHbivLMgOxPmMoRkREfec31T+MqqqnLgGXZTmoDjMM49ilvomIiIiIhsG2bdy+ffvEvXSTySQDsT5jKEZERH13XCgG3O0r1q1oNIrZ2Vku301EREREI83zPNy8efPE57yKorDv2gAwFCMior5yHAe2bR+5zWFLTh8lk8lgenqaTfWJiIiIaOStra11dRM4m81CVRnZ9BuXKyAior5xXRe3b98+djvDMLp+7XQ6zUCMiIiIiEaeEOLI1SX3SyQSSKVSfRwR+Rg7EhFRXziOg1u3bp1o6mS3/cQ0TeMy1EREREQ0FiRJwtLSElqtFlzXhW3b2N3dheM4bduFQiHMzMywR+4AMRQjIqK+KBQKEEJAkiQIIY7c9rjplZ22v379OhYWFnjSQEREREQjz7KstvPWbDaLQqEA13UhhIBpmohGo5wJMWAMxYiIqC8ymQwymQw8z0O9Xsft27cP3A0D7k6dPE2T/VarhaeeegpTU1OIxWLQdZ0nEUREREQ0FmRZ5hTJEcBQjIiI+qrZbOLOnTsdAzEAx1aRHUUIgY2NDWxsbECWZSwtLSEUCp369YiIiIiIaHIwFCMior7Z3d3F6urqocFXKBRCrVbryXvJssyplEREREREdGLsUkxERH3hui7W1tbOVAnWjUQiwemTRERERER0YqwUIyKivtjd3YXneX1/H8uykM1mEY1G+/5eRERERER0fjAUIyKivigUCsdu02q1Tv36qqpifn4e4XCYFWJERHRiu7u7sCwLpmkOeyhERDRkfZs+ubS0BEmS2j4+/vGPt23zV3/1V3jJS14C0zSxsLCAT37yk/0aDhERDdhRQZWu6zBN89Dm+ycxNTWFSCTCQIyIiE7M8zysr6/j2rVreOqpp3Dnzh1sbW3Bdd1hD42IiIagr5ViH/vYx/CWt7wl+Hzv1JZSqYSXv/zleNnLXobPfvaz+H//7//hJ37iJ5BIJPDWt761n8MiIqIBUBSl4+OmaaLRaJzptQ3DQDKZPNNrEBHR5LFtOwjAarUaarUaZFnm7xQiognV11AsGo0il8t1fO4//af/hFarhc997nPQdR3PfOYz8fjjj+PTn/70kaFYs9lEs9kMPi+VSj0fNxERnZ2qdv4V04vKrlwuxwoxIiLqmqIoiMVikCQJsixDlmWEw+FDf2cREdH51tfVJz/+8Y8jnU7juc99Lj71qU+1TZO5evUqvu/7vg+6rgePPfTQQ3jiiSewu7t76Gs+8sgjiMfjwcfCwkI/vwUiIjqlwyrFTtt8X5IkxONxXLp0iU31iYjoVFRVxYULF7CwsIC5uTnMzMwgFosNe1hERDQkfbsl8s53vhPPe97zkEql8I1vfAMf+MAHsLa2hk9/+tMAgPX1dVy8eLHta6anp4PnDith/sAHPoB3v/vdweelUonBGBHRCDIMo+PjjuNAkiQIIU78Wqqq4uLFi4e+JhERERERUbe6CsXe//734xOf+MSR23znO9/B/fff3xZcPetZz4Ku63jb296GRx555EwXNYZh8KKIiGgMJJNJlEolVCqVtsdd14VhGEElWa1WO/a15ubmeOwnIiIiIqKe6ioUe8973oM3vvGNR25z6dKljo9fuXIFjuPg5s2buHz5MnK5HDY2Ntq28T8/rA8ZERGND0mSMDMzgyeffPLAc35vyJMGXc1mcyhTJl3XRbPZRCgUGvh7ExERERFRf3UVimWzWWSz2VO90eOPPw5ZljE1NQUAeOCBB/DzP//zsG0bmqYBAB577DFcvnyZq78QEZ0TR/WIBE7eX6xUKiGTyfRiSIeqVqvY3NyE67qIRqPQdR2bm5uwbTtYOIbVakRERERE50dfeopdvXoV3/zmN/Hggw8iGo3i6tWreNe73oUf+7EfCwKvH/3RH8VHP/pRvPnNb8b73vc+fPvb38av/uqv4jOf+Uw/hkRERENg2/axz4dCoWOnUNZqNTSbzb6EUo1GA2tra6hWqwAAWZaxtbV14P2JiIiIiOh86UsoZhgGfvd3fxcf+chH0Gw2cfHiRbzrXe9q6zMWj8fxJ3/yJ3j729+O5z//+chkMvjQhz6Et771rf0YEhERDUE2m0WxWDxym3q9DtM0IUkSJElqe04IAc/z4DgOrl+/jsXFRYTD4Z6O0a9WNk0T09PTCIVCWFtbgxACoVAIlmXBNE3Icl8XbCYiIiIiogGTRDfLf42gUqmEeDyOYrHI5ZSJiEZQvV7H1tYWSqVSV1+nqirS6TQsy4KiKJBlGUIIGIZxIDw7K/9XYa9fl4iIiIiIBqubnKgvlWJEREQ+0zSRy+UwPT2NfD6PnZ2dI7cPh8NIpVIQQiCfzweLsESjUczNzfUluGIYRkREREQ0eTgXhIiI+kqSJDiOg5WVFQghcOHChSNXc1xcXIRt21hZWUG9Xg8ed10Xt2/fxpgXOBMRERER0YhgKEZERH0XCoVw4cIFNBoNLC8vQ1EUZLNZ6Lretp3/+fb2dsfXqVaryOfzfR8vERERERGdf5w+SUREA6FpGi5evIjV1VUUCgWUy2WEw+Fgnn+r1YJlWbh9+zYcxzn0dTY2NhAKhY6sNiMiIiIiIjoOQzEiIhoYWZYxNzeHRCKBjY0NVKtVVKtVAHcb6zcaDbRarSNfQwiBp556CuFwGJlMBpFIhD3BiIiIiIioawzFiIhooCRJQiQSQTgcRqlUwtbWFhqNxpHVYZ34gZppmojFYjBNE6ZpQtM0hmRERERERHQshmJERDQUkiQhHo8jFouhVqthe3sb5XL50O09z4NlWQceazQaaDQawWPhcBhLS0sMxoiIiIiI6EgMxYiIaKgkSUI4HEY4HEar1UK9Xker1UKr1UKpVILrugDQFnwBd5vyX7p0CcViEcViEYqiQFEU5HI5BmJERERERHQshmJERDQydF1vW5FyZmYGpVIJ1WoVrVYLrutC13UkEglEIhHIsox0Oo10Oj3EURMRERER0ThiKEZERCNLlmUkEgkkEolhD4WIiIiIiM4ZedgDICIiIiIiIiIiGjSGYkRERERERERENHEYihERERERERER0cRhKEZERERERERERBOHoRgREREREREREU0chmJERERERERERDRxGIoREREREREREdHEYShGREREREREREQTh6EYERERERERERFNHIZiREREREREREQ0cRiKERERERERERHRxGEoRkREREREREREE4ehGBERERERERERTRyGYkRERERERERENHEYihERERERERER0cRhKEZERERERERERBOHoRgREREREREREU0chmJERERERERERDRxGIoREREREREREdHEYShGREREREREREQTh6EYERERERERERFNHHXYAyAiIhpVjuOgVCqh2WxCCIFkMgnLsoY9LCIiIiIi6gGGYkRERPvYto3d3V1sb2/D87zgcc/zMDc3B0mShjg6IiIiIiLqBYZiREQ00YQQqNfrqNfraLVaqNfrqNVqwfOWZSEajSIajcI0TQZiRERERETnBEMxIiKaSK1WC9vb26hUKgiHw4hEIrAsC+l0Gs1mE41GIwjCiIiIiIjo/GEoRkRE557neSgUCqhUKnBdF0II6LqOeDyOmZmZA9Vfuq4jGo0OabRERERERDQIDMWIiOjccl0X29vbyOfzQW8w0zSxsLAAwzCGPDoiIiIiIhomhmJERHQuua6LGzduoNFotD0+NTXFQIyIiIgmWqVSged5iEaj7JdKE42hGBERnSu2baNYLGJ3dxfNZnPYwyEiOteEEPA8D47jQAgBWZahKApkWeaFNh2p1WphfX0dzWazbVEbWZYHNgYhxMTup+VyGfl8HslkEnNzc8MeDtHQMBQjIqJzoV6vY3t7G8Vi8cjtVldXIcsyIpHIgEZGRHQ+eJ6HWq2GWq2GRqOBVquFZrMJIcSBbWVZhqqqQY/GeDwOVeWlxyCMetDjeR62t7extbUV7DvNZhOFQgGyLCOVSiGTyfR0f3FdF7VaDZ7nwfM8uK6LSqWCWq0GXdcRDoeRTqeh63rP3nOUtVot7OzsAACKxSKy2ezEfO9E+0mi02+xMVIqlRCPx1EsFhGLxYY9HCIiGjD/TnOpVOr4vCRJsCwLiqJAVVVEo1FEIpGB3okmIhpXjuOgVCqhWCyiWq2e+nUkScLTn/50Hnv7rNVqYXl5GTMzMwiHw8MeThvHcVAoFJDP52Hb9pHbyrKMdDqNdDp96nBMCIF6vY5CoYBCoRD0Fj2MJEnIZDJnes/D+NWUjuNAURToun5ocLn/8vyogNN13SCc9qs1Pc9rew0hBBzHgW3bwRj2/1uYpomLFy9CUZQzfJdEo6ObnIihGBERjSXXdbG1tYV8Pt+xSgEAotEoZmZmePeTiOgUhBBYXl5GuVzuyeulUimkUimYptmT16N2nufhxo0bqNfrkCQJi4uLI1EVLYRAPp/HxsbGob+vD+NXjqXTaWiadujr+6GPbdtotVpotVqoVCrHhm+dSJIU9Nnyw6NIJNJ1taMfym1tbR34GZIkCZqmQdM0qKoKRVHQarXQaDTgOE7b9+9v428PAI1GA/V6vW3bs9J1HblcDpZltf1b+0Gb/3f/c9d1D4Rr/v+v/6ckSZAkCbIsB1Or/enVRP3EUIyIiM61VquFmzdvotVqdXzeNE3kcrmRuBggIhp1QghUKhU0m82gKqVWq6FSqcB13Z6/n2VZSKfTiMfjIz3Nb1j8KX6KogT/PvuDH9u2IUlSEDBUKhUUi8W2/y9JkhAOhxEKhWBZVhC+SJIUhEdCiOBxvw/c3uf9IMMwjENDKeDujapmsxl8ja7r0DQNlUoFm5ubPenx6Y997z7j/7sMimmasCwLoVAIhmG0/dsBf18RVq1WsbOzc2Cxn3HhV4ztrzrrFcMwkE6nkUgkGJBRX3STE3FiPxERjZ2NjY1DA7GpqSlks1leaBERHcOfzrazs3PoMbUf6vU6VlZWsLa2Bl3XoaoqVFVFOBxGLBY79iJZCIFarYZ6vY5QKATTNMf+wrper6NUKqFaraJerwd9wfzKpNNUPPlhZ6VS6ckYTdOEYRjBdL3jpiP2Wj8C2m41Gg00Gg3s7u62PS5JUl/Co2Hp9791s9nExsYG4vF4X9+H6CQYihER0diJRqMdG+qnUilMTU0NYURERKPJtm2Uy+Wgqbg/HUuSpJ6FJaflui7q9Xrw+e7uLhRFQTweRzweRygUarvB4Vfg5PN51Gq14HFJkoLKJE3Tgr/ruh70kxzV1TCbzSY2Nzc7/k4TQpwqDOsXPxCig85TIDYonudhfX0d6XQahmGM5M8nTQaGYkRENHb8SoL9d6lt2x75VbeIiPrJXyHSrxDqFGIMsiqsW67rYmdnBzs7O209iIQQh07B85876RS9aDSKCxcuDPx3hRACrVYL1WoV1WoVtVptpEIvokESQmB3dxe7u7tQVTWYlupP9x336k8aHwzFiIho7Bw2baNcLuP27duYmZk5svcJEVE/+Q22/d5K/bi429vDyW/Q7X9+XqpW/N5avQ6OyuUyNjc3MT093dPXPYwQAoVCAZubmwzBiDpwHAflcrltQQLLsmCaJnRdDz40TWvrtXcUf1EAhmt0HIZiREQ0Uvw76YctV27bNpaXlw/9+lKphEqlgmg0img0ikgk0vOl1YmIDtNqtbC6uto2NdE0TVy4cOFMK+H6x8ZSqYRSqdQ27ZC6t7W1Bcuy+r5Q194VIYno5Or1esefG38KuD9F2jCMYKq0f97YaDSwubkJx3EQiUQQi8UQj8cZkFFHXH2SiIhGQrVaxdraGprNJoQQCIVCmJ+fb7uIrNfrWF5e7upOuyRJiMfjSKfTsCyrH0MnIgJwNxC7ceNGx2OUoihBWG8YBlzXheu6UBTlQO+svQqFAgqFAur1+kg0Gj9PYrEYLly40LfXd10XKysrbdUvRDQcsiwjmUwiFotxeuYE4OqTREQ0VkqlEm7fvt025adWq2F5eRn33HNPsKrTzZs3u74o9KetFItFzM/Pc6UjIuq5VquFYrGIfD4Px3E6buO6bhBw7RcKhZDJZBCNRoNwzHVdlEol3Llzp59Dn2ihUKinr+c3xvdXZ9zZ2TlxnzMi6i/P85DP55HP5yFJEkKhULDyrb8gh6ZpUFU1qDyjycBQjIiIhq7RaHTsgdNoNLC6uorZ2dmgquK0hBBYWVmBZVlnmsJENIkcx4EkSWe6SDjJIhh+qOC6LoQQ8DwvODZIkgRJkoILl0Hf5febufsr8DWbTTiOA8dxztwnyr8JoCgKIpFI8D7Ue6qqBlPrI5FIV1/rB5XNZhOu6wb7p+u6sG07WOyFiEabEALVavXQ51VVxcLCAsLh8ABHRcPCUIyIiIbuqAtlf1WiqakpGIZxprvuQgjcuXMHS0tLXKGS6AQcx8Hu7i62trYghEA0GoWmaWi1WrBtG5ZlIZfLHRqWNZvNoM9frVYDcHcKiyzLCIVCmJubQ7PZxPb2NqrV6qFVVp3IsgxVVYPXi8fjSKVSPfnZ3h90VCoVlMvlvjdJd10XxWKxr+8xqUzTRDabRSwWO9U+Yts2bt68ycovogngOA5u3LgB0zRhWRYsy0IkEuFN1XOKoRgREQ3dcRVgW1tbQY+xp5566kx34qvVKlZWVjA7O8vSeKK/4zdx9z+azSZqtdqBaqVSqdT2eaPRQLlcxuzsbNvUPyEESqUSVlZWDvy8+lWfxWKx6yBsL8/z0Gq1gs9rtRpKpRKy2SzC4TA8z0Oz2QxWq/WrevaPx39s79S387SCI92VyWROPX3e8zwGYkQTyK8M3t3dBYDg5othGFzE6Rxho30iIhoqz/Nw7dq1tovbTjRNw3333RdcaJ+VYRi4dOkSgzEaGs/zYNt20M9kEPZWQO0Nv2q1GjzPO9Nr+1Vk/tTCYTaFl2X5zN8PnS9+RaEQApFIBAsLC8d+jRAClUoFm5ubXD2SiNooigJN09puBvmP7z3e+I/Lshw857cB0HWd/cv6hI32iYho5HieF1SeOI4DWZYhSRKazeaxgRiAYApTIpGAbdvY2Ng403iazSa2traQy+XO9DpE+/l9pvyT4r3LxPuazSZu374dVGJJkoTZ2Vkkk8mOr+m6LlqtVvDafnWV//rhcBiaprVtv7f3lT/dsZ8VUKO0wh4DMdrPrxbUdR3ZbPbY7Wu1GtbW1hiGEVFHZ+11u5eu6wiFQgiFQjBNE6ZpcnXMAWIoRkREfeM3Mi0UCiiVSme+UPW/PpPJoNFonLn3DqfCUC/V63Vsbm4eCIdUVcXc3BzC4XDQLH5ra6ttaqIQAqurq9jZ2QmCLgBBkHXcibemaZibmwumMx7VQJhoUkWjUczPzx9blVEqlbC8vDygURHRpPOn7e9dndg0TSQSCSSTSVaS9RlDMSKiI7iui42NDVSrVciyDE3TguWa95ZB+yXUe8uo/alRuq5PbFN3IQRu3rzZk9cyDCMof5YkCVNTUwzFaGRUq1XcunWrY/DrOA5u3boVfC5JUsdqLSHEqatS/CbgRNSZpmmYmZk58uJSCIF8Pn/mSmQiorNqNBpYX1+HbduYmZkZ9nDONYZiRERHUBQF0WgU5XIZzWbzRBesmqbB87ygsiMWi2FhYWEigzFZlrGwsIDd3V1Uq9W2Hgp+iFitVjuGW6qqtm2XTCbbSsl7UbLearVQLBZP3XyZyJ+Gu/fu7nHGvJ0r0ViybRvf/e53EY1GYZomVFUNGmX7U4zr9TpvlhDRyAiFQkin08MexrnHUIyIaA/XdeF5HlRVDUKsaDSKy5cvw3Ec1Ot12LYNSZKCfkF+1Ye/spk/Pcr/er+3j2VZPRun53loNBoIhUI9e81+icfjiMfjwb/NXo7jQJIkhMPh4HnDMI5d1adWq+HOnTs9Gd/6+jpDMeqKbdsolUool8uoVCrDHg4RdaFcLo9U/zsiok7S6TRyudxE3lQfNIZiRER7SJKE69evQwgBTdOC0MuvUPIb9Xqe17ZqjGmaiEajA2mK6U/FqtfriMVimJ6eHospmp3Gp6rqoY3FfX7gWK/XUavVUK1We9ovyW/gH4lEevaadH74AXS9Xg8+WElCRERE/ZLJZDA9PT3y5/bnBUMxognnOA6q1WpQnXOSg68/be08Nn2UZRmZTAbr6+vHTs/bf2EsyzIikQiy2eyJq8L8FeX2rypnGEawAo0kSUEQZ9s2VlZWgtUaS6USSqUSZFmGYRhBOOa6LhzHgRACyWTywNTDk3IcBxsbG4hGo4hGoz395SyEgOu6sG0btm0H37s/dsdxguf6Pd1sbW0N9913X1/fg8ZHq9VCPp9HpVJhAEZEREQDw0Bs8BiKEU0wx3FQKBSC6gfXdREKhRAOhxEOh4NAZr+1tTUUCgUoihIEMXv7RAF3Lyo9z0MikThyGtxhOk21G5RUKoV8Pg/btrv6Os/zgilVmUwmmILpV5v5wY8f9DSbzZ4t5exXUnXqeba2tobNzU2EQqFgWqe/OIDf40vTNBiGEQSdQggUCgVsbm7Ctm3s7u5CVVVEIhF4nheEV8Dd1XFCoRAikQgMwzh2jH6lV61WG5neSqZpDnsINCLy+TzW1taGPQwiIiKaIJqmIZPJsIfYEEiiD1ckX//61/Hggw92fO4v//Iv8Q/+wT/AzZs3cfHixQPPX716FS984QtP/F6lUgnxeBzFYjFYlYyITmdv2OE4DoC7YYEfdO3drlKpoFgsolarBX24AAT9oSKRyIElhP1pcIdVmHmeh3K5jGKxiGq1ing8jkwmA13X+/QdH67ZbOLOnTuo1WoDf+9h0jQNpmmi0Wh0HQoCdxcVSCQSwUIDfgjYaDTQaDT6MOKzi0ajmJubO1V4S+eL53lYW1tDrVZjhRgRERH1TTQaRSaTObB6PfVGNzlRX0KxVquFnZ2dtsc++MEP4itf+QquX78OSZKCUOxP//RP8cxnPjPYLp1OH7gAPwpDMTqvPM8LptQpigJFUYIDpj/tzJ9i5j+nKMqhB1Q/8HIcJ6gSUhSlZz2whBBB1Y8sy0Fw5k8/arVaQciiqipM04RpmhBCoNVqBdvspygKlpaWetqk/qSEEGg2m0HA47outre3Rzbcoe6oqorp6WkkEgmeiNABW1tb2NjYGPYwiIiIaMz5C0mZphm0SAmHw8Me1rnWTU7Ul9viuq4jl8sFn9u2jf/6X/8r3vGOdxy48PBXVSCaZP7qhP70t0ajcWiVgqIoh065k2U56CnlB1RCiLapbvtJkhQEZP6H38Nqb9Dlb+v/uffv/vv4H35j6sMyd8dxgsDsJP82Tz31FFKpFJLJJGq1GiqVCur1OsLhMGKxGCKRSF8a3EuSdGBaXSwWw/b2Nra3t4PqOBp9kiQhnU4HU3xVVYVhGANZGIHGhxACtVoNpVLpwM09IiIiom5pmobFxUW26hhhA5kr8gd/8AfI5/N405vedOC5V73qVWg0Gnja056G9773vXjVq1515Gs1m822sKBUKvV8vES9sDdQ8iu7/A/HcdBsNoMpZd1MUzuqB5UfRnU7Tr+CbFQJIZDP55HP59seLxQKKBQKwd0XVVWDPll+n6vDVmX0m9Y3m004jtPW+0uSpKDX1v7qO1mWMTU1hUgkghs3boxMTyw6nGmamJ+f58kIdSSEQKPRwO7uLorFYs/6/BEREdHkkiQJqVQK2WyWLTpG3ED+d377t38bDz30EObn54PHIpEIfuVXfgX/8B/+Q8iyjP/8n/8zXv3qV+P3f//3jwzGHnnkEXz0ox8dxLCJgpBp7+qAyWSybSqfv3pgo9FArVYLKr1ocPyL2k78iiC/gm3v1NOTUlW1bTEBRVGwtbXFQGyEybKMcDiMeDyOeDzO6ZEU8KdF12q14KPT1G0iIiKibsmyjGQyGcxQoNHXVU+x97///fjEJz5x5Dbf+c53cP/99wefr6ysYHFxEV/60pfwmte85sivff3rX48bN27gz//8zw/dplOl2MLCAnuKUV+srKygUCgceDwcDgdhGKfQEQ3X3tDSsqwjV06lyeJXwvpT0/0bFzxuExERUa9ZloWlpaVDFxWjwelbT7H3vOc9eOMb33jkNpcuXWr7/NFHH0U6nT52WiQAXLlyBY899tiR2xiGAcMwjn0tol4IhUIdQ7FqtTr4wRBNMEmSoOt60KTUb1R62PRYmjyu6wY3zvzp6fV6ndMhiYiIqO90XWcgNqa6CsWy2Syy2eyJtxdC4NFHH8XrX//6E60o+fjjj2NmZqabIRH1VSqVwtbWVlc9v4ioN6LRKJLJJMOvCbN3irNt27BtG47jHFjMY+8KvI7jsPqLiIiIhmZmZoaB2Jjqa0+xr371q7hx4wZ+8id/8sBzX/jCF6DrOp773OcCAH7v934Pn/vc5/Bbv/Vb/RwSUUdCCFSrVVQqFbRarbam+AzEiI7nr+i4nyzLUBQFsiwHCxnsDTf8j72LHEiShHg8jlAoNITvhAbFdV2Uy+WgZ6Nt20HvRvbrIyIionHC89bx1ddQ7Ld/+7fxohe9qK3H2F6/8Au/gFu3bkFVVdx///344he/iB/6oR/q55BoDPgrDEaj0WObE+5d1bGbShK/gb7fZLlSqbDKgOgMJEnC4uIiV9ehIwkh0Gq1sLOzg93dXR53iYiIiGioumq0P4q6aaBG42FrawsbGxsA7ibu4XA4mCrjuu6BaTM+0zQxPT2NSCQCAG1fY9s2Go1GW7+ZMd/1iUaSoijQNC348Bvfc/WdyeSv9FitVlGtVlGr1bpa+ZWIiIhoHBiGgfn5eViWNeyhEPrYaJ9oECKRSBCK+ZVcJ9FoNHDr1i3IsszqA6Ih8YPoRqPR9rimaUgmk8hkMpBleUijo37yPC+YCtlsNoPjNxvdExER0XnXbDZx48YNPO1pT+PMiTHD/y0aOaZpwrIs1Ov1U309AzGi4fF7hu3nB2XVahXRaHQIIxsfQghUKhUIIYI+W37QJISAruvBSpyGYSAcDg80aHQcp63yttFoBL3AiIiIiCaV53m4efMmLly4wFkSY4ShGPVFqVRCPp+HoihQFAWqqgYfoVDoyNVIJUnCpUuXUK1WsbOzg2q1ykoDohEVDocRiURgmiZM0wzujPn9/jzPg+d5ME2Tq0eeQL1ex507dw5U2u1l2zaq1WrwuSzLiMViSCQSCIfDfft3FkJgZWUFxWKxL69PRERENO4ajQaefPJJaJoWXAf718RcSGo0MRSjnmu1Wsjn820XbftZloV4PI5EItGxvFSSJEQiEUQikbaeNMVi8cTTKYmo/6anpzv+cpckidMku+A4DjY2NrC7u9v113qeh0KhgEKhgEwmg1wu14cR3h0jAzEiIiKio/kLC+2lKArq9ToWFxehKMqQRkadMBSjntN1HRcvXkSlUsHq6uqBAwJwtxqiXq9jc3MTyWQSuVzu0OoGSZKCKpRUKoVSqYRCodBWheL/nc3ziQbrqKpPOplarYbl5eWeTD/c3t5GNBpFOBzuwcjaNZvNnr8mERER0biRJKnjh6ZpMAwjaHWhaVowW4ozJkYXQzHqm0gkgnvvvReFQgGVSqXjNEjP85DP56FpGjKZzLGvKUkS4vE44vF4x+f3rjjpOE7wdyEEhBBBcCaEgOM4qNfrvNAjOoMbN24gGo0iEokMvLfVuBNCYHt7G5ubmz0N9Hd3d/sSioXDYUSj0Y43OiRJapsu7/9dUZQDJ4xCCCwvL/d8fERERET9pKoqZmdnj13NkMYLQzHqK1mWkUqlkEqlIIQIGjLvvWDqZXIuyzJkWe6qesXzPDQaDdTrddRqNdTr9Y4XfUR0kD9dOp/Pw7IsXLp0aSzvhNVqNZTLZSQSCRiG0df38jwv6Lt42gVFjnJUP7KzkCQJi4uLZ34dIcSZFlMhIiIiGrRIJIL5+XmuLHkO8X+UBkaSJFiWBcuyhj2UNrIsIxQKIRQKIZ1OA7jbO2drawv5fH7IoyMaH/V6HdevX0c0GkU0GoVlWSMfkO3/Wd/a2kI4HMaFCxfO3O/B8zy0Wq22FSRt20alUunLKrn+VPN+VIn1kiRJuHjxIjY3N7Gzs8MVg4mIiGjkTU9PMxA7p/i/StSBoiiIRqPY3d3lBRtRFxqNBhqNBra2tqAoCgzD6Ditzu+5oGlaT4Iz13WxtbWFarUavN7eKXt+FeneD3/69v6fcX+MZ7G2ttbXUN3/9/M/LMuCYRhjMX3Vn77uh3f5fJ79IImIiGhk5XK5kSvsoN5hKEb0d1zXRa1WQ61WQ6lUYq8xojPyf6aOIkkSdF0Pwp1QKATLsrq+E6coCnK5HCqVSvBxmmmEsiz3ZPVGf4XdarV6qgb6fnCoaVrQqNX/c9TCL79fo9/DcX9fx/1/tlot3mwgIiKikaeqKubm5hCNRoc9FOojhmI08vwlbVutVsdVPjpdjPnN9f2LbNM026pRHMdBs9kMqlpqtRpDMKIhEEKg2Wwe+PnTdR2WZQUrz560qiwSiSASiQC4+3PueV5btdjeZu9CiAPHDVVVoev6mb+vRCKBRCIRfH+2bQfvuX/hD78Por860SitUOR5HmzbPvKDARcRERGdR5qmodFoQFGUsWgLQqfDUIxGniRJMAwDqqoGDfH9SpCTkmUZlmUFF6j7V8EkotHiB+HFYjF4TJblIBzzpzjKsty2cIdfYeWHS4fZG5R1szBHt/w+X6Zp9u09TsI/9tVqNTQajbbpivv/7rouAy8iIiKaePV6PVgYSJZlZDIZZLNZhmPnDEMxGhuKoiAcDiMcDiOTyaBer2NnZyeo9jqqJ43neahWqwMcLRH1mud5bScnx/GnH+798KvORqFRqt9by6+U8ytc9z6/lx8AdvpT07SOUyrr9TrW19dRq9XYt4uIiIjolDzPw+bmJur1OrLZLEKh0LCHRD0y/KsColOyLAtzc3MA7l482raNZrOJfD7fVRUZEZ1PfrVTJ6qqwjCMoIrLD8t63atr7wqU/iqU/rGq1721/Co5v/eYEAI7Ozs9e30iIiKiSVcul1Eul2FZFpLJJCKRSE9ab9DwMBSjc8Fv1q3rOmRZZihGREdyHAeO4xyoIPWDskQigUgkcuLyeM/zgj6FzWYT9XodzWbzVE32T8vvi3aaBQaIiIiI6OT2zl7QdR2RSAShUAihUKhnq6vTYDAUo3PFcRysrq4OexhENKb8qYzFYhGmaSKbzSIWix1YqKNerwdTt/0gjIiIiIgmT6vVws7OTlChr6pqsKK6/6EoypBHSYdhKEbnhuu6uHnzJi9OiagnGo0Gbt++jUQigWQyiUqlgnK5zEosIiIiIjqU4zgolUoolUrBY/5sBH92k/8xSquOTyqGYnRu+E33iYh6qVAooFAoDHsYRERERDSm/NkI+/ltgGZnZxEOh4cwMmIoNuGEEPA8D67rQpblkViR7bTC4TDm5ubgui4cxznwp23bXH2NiIiIiIiIRoIQAs1mEzdv3sTMzAx0XYeiKFBVNVhlnPprfBOQCSCEQKlUgqqqME3zwDxk13VRqVTQaDRgWRbC4XDHbcrlMiqVStCE2f/wPO/Ayme6riMcDgcfmqb1/fvsFb+x4WFs28b29jZ2d3d7uuIbERERERER0WkJITr2xpYkKQjIFEVBNBpFIpE4UMziF7v4i0k5jgNFUYJVyTlF83CSGPPSmVKphHg8jmKxiFgsNuzh9Eyj0cCdO3eCFS0ABOGYYRhoNBqo1WptlU+SJCEUCiEajUJRFJRKJVQqlTNVR2maFjQJDIVCQXI9zj9U/sFif0i4/zHP89r+7fy/7/8TQPC1RERERERERP0iSRIikQgAtIVgh133S5IETdPaepkZhhEEZuexGq2bnIih2AiqVqu4efPmSE/180s693/s/WEb9/CsG8vLy22NFImIiIiIiIhGnaZpyGazSKVSwx5Kz3STE3H65AhyXXekAzEAQTXVUSs9yrIcJNB+SOZ/yLJ84O+dArT9JaB+bzDXdSFJEmRZPvbDfw9Jkk4d0vnjsG27bRz+n9Vq9VSvS0RERERERDQstm3Dtu1hD2NoGIpR33ieh3q93jYF9Ch7Qyyg91MSZVluq2Tb+3dJkoKDwf4PTo0kIiIiIiIiOn8YitHI8Bv/O47Tt9c/bClcIiIiIiIiIpos56+jGhERERERERER0TEYihERERERERER0cRhKEZERERERERERBOHoRgREREREREREU0chmJERERERERERDRxGIoREREREREREdHEYShGREREREREREQTh6EYERERERERERFNHIZiREREREREREQ0cRiKERERERERERHRxGEoRkREREREREREE0cd9gDoIFmWYVnWsIdBREREREREROecpmnDHsLQMBQbQZFIBJFIZNjDICIiIiIiIiI6tzh9koiIiIiIiIiIJg5DMSIiIiIiIiIimjgMxYiIiIiIiIiIaOIwFCMiIiIiIiIioonDUIyIiIiIiIiIiCYOQzEiIiIiIiIiIpo4DMWIiIiIiIiIiGjiMBQjIiIiIiIiIqKJw1CMiIiIiIiIiIgmDkMxIiIiIiIiIiKaOAzFiIiIiIiIiIho4jAUIyIiIiIiIiKiicNQjIiIiIiIiIiIJg5DMSIiIiIiIiIimjgMxYiIiIiIiIiIaOIwFCMiIiIiIiIioonDUIyIiIiIiIiIiCYOQzEiIiIiIiIiIpo4DMWIiIiIiIiIiGjiMBQjIiIiIiIiIqKJw1CMiIiIiIiIiIgmDkMxIiIiIiIiIiKaOAzFiIiIiIiIiIho4qjDHsBZCSEAAKVSacgjISIiIiIiIiKiYfLzIT8vOsrYh2LlchkAsLCwMOSREBERERERERHRKCiXy4jH40duI4mTRGcjzPM8rK6uIhqNQpKkYQ+HxkCpVMLCwgJu376NWCw27OHQGOO+RL3A/Yh6hfsS9Qr3JeoV7kvUC9yPqFtCCJTLZczOzkKWj+4aNvaVYrIsY35+ftjDoDEUi8V4UKWe4L5EvcD9iHqF+xL1Cvcl6hXuS9QL3I+oG8dViPnYaJ+IiIiIiIiIiCYOQzEiIiIiIiIiIpo4DMVo4hiGgQ9/+MMwDGPYQ6Exx32JeoH7EfUK9yXqFe5L1Cvcl6gXuB9RP419o30iIiIiIiIiIqJusVKMiIiIiIiIiIgmDkMxIiIiIiIiIiKaOAzFiIiIiIiIiIho4jAUIyIiIiIiIiKiicNQjIiIiIiIiIiIJg5DMTq3fvEXfxEvetGLEAqFkEgkOm4jSdKBj9/93d9t2+brX/86nve858EwDNx77734/Oc/3//B00g5yb60vLyMV77ylQiFQpiamsK//Jf/Eo7jtG3DfYn2W1paOnAM+vjHP962zV/91V/hJS95CUzTxMLCAj75yU8OabQ06n79138dS0tLME0TV65cwV/+5V8Oe0g0wj7ykY8cOP7cf//9wfONRgNvf/vbkU6nEYlE8JrXvAYbGxtDHDGNij/7sz/DD/zAD2B2dhaSJOH3f//3254XQuBDH/oQZmZmYFkWXvayl+HJJ59s22ZnZweve93rEIvFkEgk8OY3vxmVSmWA3wWNguP2pTe+8Y0HjlMPP/xw2zbcl+isGIrRudVqtfDP//k/x0/91E8dud2jjz6KtbW14OPVr3518NyNGzfwyle+Eg8++CAef/xx/OzP/ix+8id/Ev/jf/yPPo+eRslx+5LrunjlK1+JVquFb3zjG/jCF76Az3/+8/jQhz4UbMN9iQ7zsY99rO0Y9I53vCN4rlQq4eUvfzkWFxfxrW99C5/61KfwkY98BL/5m785xBHTKPriF7+Id7/73fjwhz+M//N//g+e/exn46GHHsLm5uawh0Yj7JnPfGbb8ed//a//FTz3rne9C3/4h3+IL3/5y/if//N/YnV1FT/4gz84xNHSqKhWq3j2s5+NX//1X+/4/Cc/+Un8u3/37/DZz34W3/zmNxEOh/HQQw+h0WgE27zuda/DX//1X+Oxxx7Df/tv/w1/9md/hre+9a2D+hZoRBy3LwHAww8/3Hac+p3f+Z2257kv0ZkJonPu0UcfFfF4vONzAMR/+S//5dCvfe973yue+cxntj322te+Vjz00EM9HCGNi8P2pT/+4z8WsiyL9fX14LHf+I3fELFYTDSbTSEE9yXqbHFxUXzmM5859Pn/8B/+g0gmk8F+JIQQ73vf+8Tly5cHMDoaJy94wQvE29/+9uBz13XF7OyseOSRR4Y4KhplH/7wh8Wzn/3sjs8VCgWhaZr48pe/HDz2ne98RwAQV69eHdAIaRzsP5f2PE/kcjnxqU99KnisUCgIwzDE7/zO7wghhPibv/kbAUD87//9v4Nt/vt//+9CkiRx586dgY2dRkun67I3vOEN4p/+03966NdwX6JeYKUYTby3v/3tyGQyeMELXoDPfe5zEEIEz129ehUve9nL2rZ/6KGHcPXq1UEPk0bY1atX8T3f8z2Ynp4OHnvooYdQKpXw13/918E23Jeok49//ONIp9N47nOfi0996lNt026vXr2K7/u+74Ou68FjDz30EJ544gns7u4OY7g0glqtFr71rW+1HWNkWcbLXvYyHmPoSE8++SRmZ2dx6dIlvO51r8Py8jIA4Fvf+hZs227bp+6//35cuHCB+xQd6caNG1hfX2/bd+LxOK5cuRLsO1evXkUikcD3fu/3Btu87GUvgyzL+OY3vznwMdNo+/rXv46pqSlcvnwZP/VTP4V8Ph88x32JekEd9gCIhuljH/sY/vE//scIhUL4kz/5E/z0T/80KpUK3vnOdwIA1tfX24IOAJienkapVEK9XodlWcMYNo2Yw/YT/7mjtuG+NNne+c534nnPex5SqRS+8Y1v4AMf+ADW1tbw6U9/GsDd/ebixYttX7N330omkwMfM42e7e1tuK7b8Rjzt3/7t0MaFY26K1eu4POf/zwuX76MtbU1fPSjH8VLXvISfPvb38b6+jp0XT/QR3N6ejr4vUbUib9/dDoe7T0nmpqaanteVVWkUinuX9Tm4Ycfxg/+4A/i4sWLuH79Ov7Vv/pXeMUrXoGrV69CURTuS9QTDMVorLz//e/HJz7xiSO3+c53vtPWKPYoH/zgB4O/P/e5z0W1WsWnPvWpIBSj86vX+xKRr5t9693vfnfw2LOe9Szouo63ve1teOSRR2AYRr+HSkQT7BWveEXw92c961m4cuUKFhcX8aUvfYk3aohoJPzwD/9w8Pfv+Z7vwbOe9Szcc889+PrXv46XvvSlQxwZnScMxWisvOc978Eb3/jGI7e5dOnSqV//ypUr+IVf+AU0m00YhoFcLndgpaWNjQ3EYjGeMI65Xu5LuVzuwCpv/n6Ty+WCP7kvTYaz7FtXrlyB4zi4efMmLl++fOh+A/z9vkWUyWSgKErHfYX7CZ1UIpHA0572NFy7dg3/5J/8E7RaLRQKhbZqMe5TdBx//9jY2MDMzEzw+MbGBp7znOcE2+xfBMRxHOzs7HD/oiNdunQJmUwG165dw0tf+lLuS9QTDMVorGSzWWSz2b69/uOPP45kMhlUaDzwwAP44z/+47ZtHnvsMTzwwAN9GwMNRi/3pQceeAC/+Iu/iM3NzaCE+7HHHkMsFsMznvGMYBvuS5PhLPvW448/DlmWg/3ogQcewM///M/Dtm1omgbg7n5z+fJlTp2kgK7reP7zn4+vfOUrwQrKnufhK1/5Cn7mZ35muIOjsVGpVHD9+nX8+I//OJ7//OdD0zR85StfwWte8xoAwBNPPIHl5WX+3qIjXbx4EblcDl/5yleCEKxUKuGb3/xmsIr3Aw88gEKhgG9961t4/vOfDwD46le/Cs/zcOXKlWENncbAysoK8vl8ELhyX6JeYChG59by8jJ2dnawvLwM13Xx+OOPAwDuvfdeRCIR/OEf/iE2Njbwwhe+EKZp4rHHHsMv/dIv4ed+7ueC1/gX/+Jf4N//+3+P9773vfiJn/gJfPWrX8WXvvQl/NEf/dGQvisahuP2pZe//OV4xjOegR//8R/HJz/5Sayvr+Nf/+t/jbe//e1BwMp9ifa7evUqvvnNb+LBBx9ENBrF1atX8a53vQs/9mM/FgReP/qjP4qPfvSjePOb34z3ve99+Pa3v41f/dVfxWc+85khj55Gzbvf/W684Q1vwPd+7/fiBS94Af7tv/23qFareNOb3jTsodGI+rmf+zn8wA/8ABYXF7G6uooPf/jDUBQFP/IjP4J4PI43v/nNePe7341UKoVYLIZ3vOMdeOCBB/DCF75w2EOnIatUKrh27Vrw+Y0bN/D4448jlUrhwoUL+Nmf/Vn8m3/zb3Dffffh4sWL+OAHP4jZ2dkgtH/605+Ohx9+GG95y1vw2c9+FrZt42d+5mfwwz/8w5idnR3Sd0XDcNS+lEql8NGPfhSvec1rkMvlcP36dbz3ve/Fvffei4ceeggA9yXqkWEvf0nUL294wxsEgAMfX/va14QQd5frfc5zniMikYgIh8Pi2c9+tvjsZz8rXNdte52vfe1r4jnPeY7QdV1cunRJPProo4P/ZmiojtuXhBDi5s2b4hWveIWwLEtkMhnxnve8R9i23fY63Jdor29961viypUrIh6PC9M0xdOf/nTxS7/0S6LRaLRt93//7/8VL37xi4VhGGJubk58/OMfH9KIadT92q/9mrhw4YLQdV284AUvEH/xF38x7CHRCHvta18rZmZmhK7rYm5uTrz2ta8V165dC56v1+vip3/6p0UymRShUEj8s3/2z8Ta2toQR0yj4mtf+1rH86I3vOENQgghPM8TH/zgB8X09LQwDEO89KUvFU888UTba+TzefEjP/IjIhKJiFgsJt70pjeJcrk8hO+GhumofalWq4mXv/zlIpvNCk3TxOLionjLW94i1tfX216D+xKdlSSEEION4YiIiIiIiIiIiIZLHvYAiIiIiIiIiIiIBo2hGBERERERERERTRyGYkRERERERERENHEYihERERERERER0cRhKEZERERERERERBOHoRgREREREREREU0chmJERERERERERDRxGIoREREREREREdHEYShGREREREREREQTh6EYERERERERERFNHIZiREREREREREQ0cf4/8RMnqqimUOYAAAAASUVORK5CYII=",
            "text/plain": [
              "<Figure size 1500x1000 with 1 Axes>"
            ]
          },
          "metadata": {},
          "output_type": "display_data"
        }
      ],
      "source": [
        "world = gpd.read_file(gpd.datasets.get_path('naturalearth_lowres'))\n",
        "\n",
        "# 'merch_lat' and 'merch_long' are columns for merchant latitude and longitude\n",
        "df['geometry_merch'] = gpd.points_from_xy(df['merch_long'], df['merch_lat'])\n",
        "df['geometry_general'] = gpd.points_from_xy(df['long'], df['lat'])\n",
        "\n",
        "gdf_merch = gpd.GeoDataFrame(df, geometry='geometry_merch')\n",
        "gdf_general = gpd.GeoDataFrame(df, geometry='geometry_general')\n",
        "\n",
        "# Plot the world map\n",
        "world.plot(figsize=(15, 10), color='lightgrey')\n",
        "\n",
        "# Plot the scatter points for merchant locations\n",
        "gdf_merch.plot(ax=plt.gca(), marker='o', color='red', markersize=10, alpha=0.6, label='Merchant Locations')\n",
        "\n",
        "# Plot the scatter points for general locations\n",
        "gdf_general.plot(ax=plt.gca(), marker='o', color='blue', markersize=10, alpha=0.6, label='General Locations')\n",
        "\n",
        "# Add title and legend, then show the plot\n",
        "plt.title('Merchant and General Locations on World Map')\n",
        "plt.legend()\n",
        "plt.show()"
      ]
    },
    {
      "cell_type": "markdown",
      "id": "c04f6893-85e6-4c86-93e0-09a3050e9f16",
      "metadata": {
        "id": "c04f6893-85e6-4c86-93e0-09a3050e9f16",
        "noteable": {
          "cell_type": "markdown"
        }
      },
      "source": [
        "### ```Correlation Matrix Analysis for 'is_fraud' Column```\n",
        "\n",
        "The correlation matrix provides insights into the linear relationships between different variables, including their correlation with the target variable ('is_fraud'). Below are key observations"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 90,
      "id": "72657db1-097c-4c39-a83e-daf26fbd203c",
      "metadata": {
        "ExecuteTime": {
          "end_time": "2023-11-16T18:32:41.831024+00:00",
          "start_time": "2023-11-16T18:32:41.381736+00:00"
        },
        "id": "72657db1-097c-4c39-a83e-daf26fbd203c",
        "jupyter": {
          "outputs_hidden": false,
          "source_hidden": false
        },
        "noteable": {
          "cell_type": "code",
          "output_collection_id": null
        }
      },
      "outputs": [],
      "source": [
        "correlation_matrix = df.corr(numeric_only=True)"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 91,
      "id": "ea4dee7c-fa56-4160-8569-daed8d7c7c1e",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 765
        },
        "id": "ea4dee7c-fa56-4160-8569-daed8d7c7c1e",
        "jupyter": {
          "outputs_hidden": false,
          "source_hidden": false
        },
        "noteable": {
          "cell_type": "code",
          "output_collection_id": "b2a92cfb-26a6-4d5b-80fa-d21670658aff"
        },
        "outputId": "60ac5748-0b89-44e5-b58e-a00ce80662cf"
      },
      "outputs": [
        {
          "data": {
            "image/png": 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SCSQSyRuPE4lE2LVrFzp16lRkmnHjxmH//v24ceOGsK9Hjx6Qy+U4ePAgAMDX1xd169YVZkNlZWXB1tYWI0aMwPjx44tZqjfjc66JiIiIiIjKof067mr77AsTvsK0adOU9k2ZMgVTp04t8bnPnj2L5s2bK+1r1aoVRo8eDQDIyMjApUuXEBgYKLwvFovRvHlznD17tsSfXxR2rjWUOi8ETdIuMxxhkY/VnQ2N4eFcBZF376o7GxrD2ckJVyLi1J0NjVDL1RwhEc/UnQ2N4e1aCbfuPFV3NjSCl4s1QiOfqDsbGsPT2YZxIw/GjlzerpV4reTh6WzD+sjD09lG3Vn44AQGBiIgIEBp39tGrd9VdHQ0LCwslPZZWFggKSkJL168gEwmw6tXrwpNExYWVip5KAw710RERERERFSq3mUKeHnDzjUREREREVE5JNIRqTsLZcLS0hIxMTFK+2JiYmBkZAR9fX1oaWlBS0ur0DSWlpZlli+uFk5EREREREQfDD8/Pxw9elRp35EjR+Dn5wcA0NXVhY+Pj1KarKwsHD16VEhTFjhyTUREREREVA6JtT+Mkevk5GTcuXNHeH3v3j2EhITA1NQUdnZ2CAwMxJMnT7B+/XoAwODBg/H7779j7Nix6NevH44dO4atW7di//79wjkCAgLQu3dv1KlTB/Xq1cOCBQuQkpKCvn37llk52LkmIiIiIiIitbl48SKaNGkivM5ZCK13794ICgpCVFQUHj58KLzv6OiI/fv349tvv8XChQtRpUoVrFq1Cq1atRLSdO/eHc+ePcPkyZMRHR0Nb29vHDx4sMAiZ6WJnWsiIiIiIiJSm8aNG0OhUBT5flBQUKHHXLly5Y3nHT58OIYPH17S7L0zdq6JiIiIiIjKIZEOl9hSJdY2ERERERERUQlx5JqIiIiIiKgc+lAWNCsvOHJNREREREREVEIcuSYiIiIiIiqHRDocuVYljlwTERERERERlRA710REREREREQlxGnhRERERERE5RAXNFMtjlwTERERERERlRBHromIiIiIiMohLmimWhy5JiIiIiIiIiohdq6JiIiIiIiISojTwomIiIiIiMohLmimWhy5JiIiIiIiIiohjlwTERERERGVQyItjlyrEjvXHwHThnXgNKY/jGtXg551ZVzsMhQxe4+++ZjP6sFr7nhU8HJF2qMo3Jm1FI/X71JKYz+kJ5wC+kNiWQlJ18Jwc/QMJF64XpZFKTX7g3dj946tkMkS4ODojG+GjICbu0eR6f85fRKbNqxFbEw0rK2rwL/fQNSp6yu8r1AosHljEI4cPICUlGR4eFXDkGGjYG1TRRXFKZHg4GDs2L4dMpkMjk5OGDJkCNzd3YtMf/r0aWxYvx4xMTGwtrFBv759UbdevULTLlq0CH8dOIBvvvkGnTp3LqsilCqFQoFtm1bh2KFgpKQ8h7tnDfQf+h2sbGzfeNyhfTsQvHMzEmUJsHN0Qd9B38LF3Uspze3QG/hzw3LcCb8FsVgMeydX/DB9PnQlkrIsUolk18dqHBXqozoGvHN9/AG5LAH2js4F6mPa+OG4dSNE6ZjmrTti4PDvy6IYpUKhUOCPjWvx96H92de5ZzUMGvbtW6/zA/t2YfeOPyF/HW8GDB4JN3dP4f3DfwXj1MmjuHsnAi9epGLjn8EwrFChrItTYgeCd2NXnnINHDJCqVz5/XP6BDa/jqNWQhytL7yfXb9BOHJwvxBHBw8b/UHEUYCxIy/GDWXFbdtvu8YyMjKwduVSnDl1HJmZGfCuXReDh42CidS0rItUIqwPKs84LfwjoGVogKRr4bgxcto7pdd3qIK6e5cj/sQ5nKnTEfcWrUP15TNh3qKhkMaqWxt4/hKIiJmLcaZeZzy/Fgbf/auhW0nzA9jpk8exZuUydO/pj3mLlsHRyRlTJ42DXC4rNH3orZuYO2cmmrdsg/mLlsPX7xPMmjEZD+7fE9Ls3L4F+/fuwpDho/HL/N+hp6eHqZPGIyMjQ1XFKpaTJ09i5YoV6NmrFxYtWgQnR0dMmjgRcrm80PS3bt3CnNmz0bJVKyz6/Xf4+flhxowZuH//foG0//7zD8LDwmBmZla2hShle3dswsHg7Rgw7HvM/HUlJHp6mDU5ABkZ6UUe8++pv7Fh1SJ0/aofZi1cA3tHF8yaHIDEPG3qdugNzJoSgBq16mHmvJX4cf4qtPq8C0Rizf5Fee+OTfgreDsGDPsOP/66Anp6+vjprfVxFOtX/Y4uX/XF7IWrYe/ogp/y1QcANGvVHss37BG2Xv2GlnVxSmTX9i3YH7wTg4Z9iznzlkCip4fpk8a+8To/c+oY1q5ciu49e+PX31bAwdEZ0yeNVYo36enpqFW7Hrp82UsVxSgVZ04ex5qVS9Gjpz/mLVoOBydnTHtDHA27dQO/vo6j8xatgK/fJ5idL47u2r4F+/buxODh3+Ln+Yuhp6eHaZPGaXwczcHYkYtxQ1lx2va7XGNrVizGhfNn8X3gZMycswCyhHjMnjlFFUUqEdaHaom1RGrbPkYa3bnOysrCzz//DBcXF0gkEtjZ2eHHH38EADx+/BhfffUVTE1NYWhoiDp16uDcuXNvPefUqVPh7e2NDRs2wMHBAcbGxujRoweeP38upHFwcMCCBQuUjvP29sbUqVOF1yKRCMuXL8fnn38OAwMDeHp64uzZs7hz5w4aN24MQ0NDNGjQAJGRkaVSFyXx7NAp3J6yADF7/n6n9Pbf9MCLe48ROnYOksPu4sGSTYjecQiOo/oIaRxH98Wj1VvxeN1OJIdG4vrQKXiVmgbbPl3KqBSlZ8+u7WjZui2at2wNOzsHDBk+GhKJBH8fPlho+uA9O1Hbpy6+6Nodtnb26OXfF07OrtgfvBtA9i+wwbt3oluP/8HX7xM4ODpj9JhxSIiPw39nz6iwZO9v165daN2mDVq2bAk7e3sMHzECEokEhw8fLjT9nj174FOnDrp27Qo7Ozv4+/vD2dkZwcHBSuni4uKwdOlSfD92LLS0tFRRlFKhUCjw156t6Ny9N+rU/xT2ji4YFjAJsoQ4XDx7usjj9u/+E01btUfjFu1Qxc4RA4Z9D12JBCeO7BPSrF+1EK3bd0XHbl/D1t4J1lXs4fdpM+jo6KqiaMWiUChwYM82fNHdH3WF+pgIWUI8LryxPragWav2aKJUH3o4nqc+AEBXogcTqZmwGRgYlnWRik2hUGDfnu3o1v1r+Po1hIOjM0aNCURCQhzOveE637trG1q0bodmLdrA1s4Bg4cHQKKnh6OH/xLStO/UFV2+7Al3D68iz6Np9uzahpat26JZy+xyDRn+LSQSiVK58sqOo/XQuWuP13G0H5ycXXFAKY7uwJd54uioMeOREP/m+tUUjB25GDeUFbdtv+0aS0lJxt+H/0K/gUNQw7s2XFzdMOLbsQgLvYnwsFuqKt57Y31QeafRnevAwEDMnj0bkyZNwq1bt7B582ZYWFggOTkZjRo1wpMnT7B3715cvXoVY8eORVZW1judNzIyErt378a+ffuwb98+nDx5ErNnz37v/M2YMQP+/v4ICQmBh4cHevbsiUGDBiEwMBAXL16EQqHA8OHD3/u86mZS3xtxx84q7Xt25Ayk9b0BACIdHRjXroq4o//mJlAoEHfsX5jUr6XCnL6/zMxMRN65jZretYV9YrEYNb1rFxl8w8NuoWYtH6V9tXzqCOljoqMgkyUondPQsALc3D0RHqq5AT0zMxN3IiLg7e0t7BOLxfD29kZYaGihx4SFhqJWnvQA4OPjo5Q+KysLc+fORZeuXWFvb18WWS8zsTFPIZfFo7p3HWGfgWEFuLh74XbYjUKPeZmZiXt3wlHdu66wTywWo7p3HeGYRLkMd8JvwdhEiknfDcKg/32OaeOHIezm1bItUAnl1kdu2XLqI+IN9XH3zm2lOsypj4iwm0ppz5w4ggE922HM0K+xOWgZ0tPSyqYgpSD3Os+NBYaGFeDq7onwfOXKkRtvco8Ri8Wo4V27yGM+BDnlqpGvXDW9fd4YR2vUqq20r5ZPXaEecuq3Rr761fQ4moOxIxfjhrLitO13ucYiI27j5cuXSmmq2NqhUqXKCA/V3PjC+qDyTmPvuX7+/DkWLlyI33//Hb179wYAODs7o2HDhlixYgWePXuGCxcuwNQ0exqyi4vLO587KysLQUFBqFixIgDg66+/xtGjR4VR8XfVt29ffPnllwCAcePGwc/PD5MmTUKrVq0AAKNGjULfvn3feI709HSkpytPk5Ko+R4qiYU50mPilPalx8RBx7gixHoS6EiNIdbWRnpsfL408TB0d1JlVt9bUlIisrKyYCKVKu03MZHi8aNHhR4jlyXAxKRgepksAQAgk2VPSSrsnDnvaaKkpCRkZWVBmj/fUikePX5c6DEymaxgOaXK5dy2bRu0xGJ07Nix9DNdxuSv/6bGJsq3NxibmEIujy/sECQlyZGV9arQY548fggAiI1+AgDYvnkN/tdvOOydXHHq2F+YOWEUflm84a33IapLbn0o/82NTaSQyxMKPSb7Giu8Pp4+fiC8/qRxC5hXsoSpmTke3IvE5qClePrkIb6b8FMpl6J0CHVRyHWe815+z1/Hm/z1Z2IixZNHD8smoyrwvIg4amwixeMiylVYHDXOEyNz6rCwc8qKqF9NwtiRi3FDWXHa9rtcYzKZDNraOqiQb32G/P8naxrWh+pp8i0k5ZHGdq5DQ0ORnp6OZs2aFXgvJCQEtWrVEjrW78vBwUHoWAOAlZUVYmNj3/s8NWrUEP5tYWEBAKhevbrSvrS0NCQlJcHIyKjQc8yaNQvTpinfCz1lyhTULTQ1kWaLiIjA3j178NuiRRCJND+Ynzl+CCsX/yK8HjfllzekLr4shQIA0Kx1RzRu0Q4A4OjshptXL+HEkX34qs+QMvnc93X6+GGl+hg/5ecy+6zmrXN/fLFzcIbU1AwzJoxCdNQTWFrZlNnnvquTx49g2e/zhNcTps5SY25I0zB25GLcUHby+N9Yuig3dkyc9nHHDtYHfWw0tnOtr69frPfehY6OjtJrkUikNKVcLBZD8fo/tByZmZlvPE9OR6KwfW+arh4YGIiAgAClfRKJBH//+MfbilFm0mPiILEwV9onsTBHZuJzZKWlIyNOhqyXLyGpbJYvjRnSo5VHvDWNkZExxGIx5Pl+xZTLZZAW8WONidS0wCI9crkM0terT+aM/MplMpiamimlcXRyLs3slyojIyOIxeICv+jKZTKY5vt1OIdUKi1YdzKZUAc3b9yAXC5Hb39/4f2srCysWrUKu3fvRtC6daVcipLx8W0IF/eqwuvMzOzFVBLlCZCa5l4DifIE2Du6FnoOIyMTiMVaSMw3IpMoTxBWKJVKs9tFFTtHpTTWtvaIexZT8oKUkjq+DeGaZ2Xe3PqQ5asPGRwcC58tlH2NFVUfRS9ul7MicPTTxxrxJbme7ydwK6wuCr3OC6+Liq/jTf4FmeRy2Qe9em3FIuJo4nvG0UR5buzIqY/8cTTxDfWrTowduRg3lNXzbaC0gnVOfbxP236Xa0wqleLly0wkJycrjdbm/T9ZE7A+1E+kpdF3AZc7Glvbrq6u0NfXx9GjBR8ZVaNGDYSEhCAhoWymilWqVAlRUVHC66SkJNy7d+8NRxSfRCKBkZGR0qbuaeHy/0Jg1rS+0j7zZg0g+y8EAKDIzETi5Zswb+qXm0AkglkTP8j/u6LCnL4/HR0dOLu44drV3HxmZWXhWsiVIhcTcvfwwrWQy0r7Qq5cEtJbWFpBKjXFtau5aVJTU3A7PBTunpq7QJGOjg5cXF1xNSRE2JeVlZW9hoBn4Y/T8fD0REie9ABw5coVIX3TZs2weMkS/L54sbCZmZmhS5cumPmet12ogr6BISytqwhbFTtHmEjNcCPkkpAmNTUFd8Jvwc2jWqHn0NbRgaOLO25cvSjsy8rKwo2rl4RjKllYQWpqrjS9EQCinzyCeWXLMihZ8egbGBRaH9dDcsuWUx+ub6gPJxc3XL+aW4c59eHqUbXQYwDg/t0IAIDUtOgv0qqkb2AAK2sbYbO1cyj0Oo8ID4V7EeUS4k2e+JGVlYXrIZeLPOZDkBtHlct1LeTye8bRi0I9fGhxlLEjF+OGsneNHW9q2+9yjTm7ukFbW1vpunry+CGePYuFu6fmxBfWB31sNHbkWk9PD+PGjcPYsWOhq6uLTz75BM+ePcPNmzfx9ddf46effkKnTp0wa9YsWFlZ4cqVK7C2toafn9/bT/4WTZs2RVBQENq3bw8TExNMnjz5g1rxOD8tQwMYutgJrw0cq8CopgcyEhKR9igK7jMDoGdjgat9xwEAHqzYAvuhveAx63s8CtoB8yb1YdWtDS50GCSc496Ctai5Zg7kl24g8cI1OIzsDW1DfTxat1Pl5XtfHTt3xcJ5c+Di6gZXNw8E79mBtPQ0NG+Rfa/8/LmzYWZmDv++AwAA7Tt+gQnjvsXunVtRp259nD55HJERtzFsRPaMA5FIhPadvsDWLZtgZV0FFhaW2LxhLUzNzFHfr2GR+dAEnTt3xrxff4Wrqyvc3N2xZ/dupKeno0WLFgCAuXPnwszMTFg7oGPHjhg3dix27tiBuvXq4eTJk4iIiMCIkSMBQPiBKC8tLS1IpVJUqaL5z6oViURo0/FL7PpzHSxtqqCyhTW2blwJqak56vh9KqSb8cNI1PX7DK3bdwUAtOvUHUvn/wgnVw+4uHnhwJ6tSE9LQ6Pm7YTztu/SE9s2rYa9oyscnFxx8ugBPHn8AKMDZ6qlrO9CJBKhbcdu2PXnOljZ2KKyhRX+3LgKUlMz1FWqj1Gv6yP7aQHtOvXAkvk/wtnVA85unq/r4wUav66P6Kgn+OfEEdSqWx8VKhrj4f1IrF/5GzyrecO+iJEtdROJRPi8Y1ds27IBVtY2sLC0wuYNa2Bqag7fPNf55B8CUN/vU7Rtn/1c9w6du+G3ebPh7OoGVzdP7NuzHWlpaWjWorVwjCwhAXJZAqKisu+vfXD/LvT1DWBeuTIqViz8liJ169i5GxbOmw0XV3elOJpTrgVzZ8HMzBxf9x0IoLA4egyREbcxdMQYADlxtAu2bdkIa2sbVLawEuKor4bHUYCxIy/GDWXv2rYnBY5B/QYN0e517HjbNWZoWAHNW7bB2pVLULFiRegbGGLlst/g7uml0U8eYH1QeaexnWsAmDRpErS1tTF58mQ8ffoUVlZWGDx4MHR1dXH48GGMGTMGbdu2xcuXL+Hl5YXFixeXyucGBgbi3r17+Pzzz2FsbIwZM2aU2ci1Khj7VIPf0Q3Ca6+5PwAAHq3fiWv9AyGxqgR9Wyvh/Rf3H+NCh0Hw+jUQDiP8kfY4GtcHTUTckdxHJERt+wu6lUzhNmUkJJaVkHQ1FOc/H4CM2MIXbtEknzZqgqSkRGzeEASZLHvq9pTps4VpeHHPYiHOs/iDp1dVjBk7ARvXr8GGoDWwtrFB4KTpsHfInab3RdceSEtLw5JF85CSnAzPqtUxZfos6Opq5qNScjRq1AhJiYnYsHEjZAkJcHJ2xvQZM4QpVM9iYyHOc++0l5cXxo4bh/Xr1iEoKAg2NjaYNGkSHBwc1FSC0tehSy+kp73AykU/IzUlGe5eNTB++q/Q1c2dURIT/QTPkxKF1w0+a46kRDm2bVwFuSwB9k6uGD/9V6Wpv207dkdmRgbWr/oNKc+TYOfoggkzFsDSSrN/dMiujzSsEOqjOgILrQ+58LrBZ82QlCjH1tf14eDkgsA89aGtrY3rVy/iwN7sjoSZeWXUa9AYX/TorerivZfOXXsgLe0Fli76FSkpyfD0qo5JM+YoXefRUU+RlKdtNPysKZISE7FlYxBksgQ4Ojlj8vQ5Sm3j0F978efm3FsmJowbBQAYMXocmubphGuSho2aIDFJjj82rM0TR3PL9exZLETi3MlxHl7VEDB2AjatX4ONQathbWOD8fniaOdC4ujk6bM1Po7mYOzIxbih7F3adnTUUyQl5okdb7nGAKDfN8MgEokx58epyMzMRC2fOhg0dLQqi1YsrA/V+lifN60uIkX+m4tJI+zXcVd3FjRCu8xwhEUWvnL1x8jDuQoi795VdzY0hrOTE65EaPZ9/qpSy9UcIRHP1J0NjeHtWgm37jxVdzY0gpeLNUIjn6g7GxrD09mGcSMPxo5c3q6VeK3k4elsw/rIw9NZM+7rf1//+dZT22fXP3debZ+tLho9ck1ERERERETFw0dxqZbGLmhWXFWrVkWFChUK3TZt2qTu7BEREREREVE5VO5Grg8cOFDoY7OA3GdRExERERERlXe851q1yl3n2t7eXt1ZICIiIiIioo9MuZsWTkRERERERKRq5W7kmoiIiIiIiAARp4WrFEeuiYiIiIiIiEqII9dERERERETlkEjMsVRVYm0TERERERERlRA710REREREREQlxGnhRERERERE5ZBIzAXNVIkj10REREREREQlxJFrIiIiIiKickjMR3GpFEeuiYiIiIiIiEqInWsiIiIiIiKiEuK0cCIiIiIionKIC5qpFkeuiYiIiIiIiEqII9dERERERETlkEjMsVRVYm0TERERERERlRBHromIiIiIiMoh3nOtWhy5JiIiIiIiIiohdq6JiIiIiIiISkikUCgU6s4EERERERERla6bHZuq7bOr7jmmts9WF95zraHCIh+rOwsawcO5CvbruKs7GxqjXWY420YeHs5VEBr5RN3Z0Aiezjasizw8nW14rbzG60QZrxVlrI9cns42SLp8RN3Z0BhGtVvgxp1odWdDY1RzsVR3FugDwM41ERERERFROcQFzVSL91wTERERERERlRA710REREREREQlxGnhRERERERE5ZBIzLFUVWJtExEREREREZUQR66JiIiIiIjKIS5oplocuSYiIiIiIiIqIY5cExERERERlUMcuVYtjlwTERERERERlRA710REREREREQlxGnhRERERERE5RCnhasWR66JiIiIiIiISogj10REREREROWQSMyxVFVibRMRERERERGVEDvXRERERERERCXEaeFERERERETlkFiLC5qpEkeuiYiIiIiIiEqII9dERERERETlEB/FpVocuSYiIiIiIiIqIXauiYiIiIiIyiGRWKy27X0tXrwYDg4O0NPTg6+vL86fP19k2saNG0MkEhXY2rVrJ6Tp06dPgfdbt25drHp8V5wWTkRERERERGrz559/IiAgAMuWLYOvry8WLFiAVq1aITw8HJUrVy6QfufOncjIyBBex8fHo2bNmujWrZtSutatW2Pt2rXCa4lEUnaFADvXZaZPnz6Qy+XYvXu3urMCANgfvBu7d2yFTJYAB0dnfDNkBNzcPYpM/8/pk9i0YS1iY6JhbV0F/v0Gok5dX+F9hUKBzRuDcOTgAaSkJMPDqxqGDBsFa5sqqihOsZk2rAOnMf1hXLsa9Kwr42KXoYjZe/TNx3xWD15zx6OClyvSHkXhzqyleLx+l1Ia+yE94RTQHxLLSki6Foabo2cg8cL1sixKqWHbUKZQKPDHxiAcObhfyP/gYaPfmv8Dwbuxa8efkL+ux4FDRsDN3VN4PyMjA2tXLsWZU8eRmZkB79p1MXjYKJhITcu6SCXC+shV2tfK2X9O4+CBYETeuY3nz59j/qLlcHJ2UUVRSgXbhjLWRy7WhbKth09iY/BRxCcmwdXOBt/36YaqLg6Fpt119B8cOH0ekY+fAgA8HO0wrHt7If3Ll6+wdGsw/gm5iSex8aigr4d61T0wvEcHVDI1UU2BSkihUGDLxjX4+9A+pKYkw92zOr4ZFvDW9vHXvl3Ys2OL0D76Dx4F19ft4/nzJPy5cQ2uXrmIuGcxMDI2Qb36DdHj6/4wNKygimJRCc2bNw8DBw5E3759AQDLli3D/v37sWbNGowfP75AelNT5et+y5YtMDAwKNC5lkgksLS0LLuM58Np4R+B0yePY83KZeje0x/zFi2Do5Mzpk4aB7lcVmj60Fs3MXfOTDRv2QbzFy2Hr98nmDVjMh7cvyek2bl9C/bv3YUhw0fjl/m/Q09PD1MnjVf6BUkTaRkaIOlaOG6MnPZO6fUdqqDu3uWIP3EOZ+p0xL1F61B9+UyYt2gopLHq1gaevwQiYuZinKnXGc+vhcF3/2roVtLs/+wBto3C7Nq+Bfv27sTg4d/i5/mLoaenh2mTxr0x/2dOHsealUvRo6c/5i1aDgcnZ0zLV49rVizGhfNn8X3gZMycswCyhHjMnjlFFUUqEdZHtrK4VtLS0uBZtRr8+w5UVTFKFduGMtZHLtZFrsNnL2HBhl0Y0KUNNvw0Dq72NhgxezESEp8Xmv5SaARaNvDB0omjsGbaGFiYmWD4rMWITZADANIyMhB27xH6d84+388BA/HgaQzGzF2uwlKVzO7tf+BA8E4MGjYGs+Ytg56eHmZM+g4ZGelFHvPPqWMIWrkYX/bsjV9+Wwl7R2fMmPQdEl+3D1l8HBIS4uHffwjmLwnC8G8DceXSeSxZ+LOqiqWxRGKR2rb09HQkJSUpbenpBf/OGRkZuHTpEpo3by7sE4vFaN68Oc6ePftO5Vy9ejV69OgBQ0NDpf0nTpxA5cqV4e7ujiFDhiA+Pr5kFfoW7FwDOHjwIBo2bAgTExOYmZnh888/R2RkJADg/v37EIlE2Lp1Kz799FPo6+ujbt26uH37Ni5cuIA6deqgQoUKaNOmDZ49ewYAmDp1KtatW4c9e/YI8/tPnDihtvLt2bUdLVu3RfOWrWFn54Ahw0dDIpHg78MHC00fvGcnavvUxRddu8PWzh69/PvCydkV+4N3A8j+xTF490506/E/+Pp9AgdHZ4weMw4J8XH47+wZFZbs/T07dAq3pyxAzJ6/3ym9/Tc98OLeY4SOnYPksLt4sGQTonccguOoPkIax9F98Wj1VjxetxPJoZG4PnQKXqWmwbZPlzIqRelh21CWnf8d+DJP/keNGY+E+Dice0P+9+zahpat26JZyzawtXPAkOHfQiKR4OjhvwAAKSnJ+PvwX+g3cAhqeNeGi6sbRnw7FmGhNxEedktVxXtvrI9cpX2tAECTZi3Qo6c/atbyUVEpSg/bhjLWRy7WhbLN+4+hU9MG6NDYD05VrBDYvwf0dHWx90ThHYaZw/ugW8vP4O5QBQ42lpj4TS8oFApcuBEOAKhgoI/FE0aghV9tOFhboLqrI77v+yVC7z1CdFyCKotWLAqFAvv2bEPX7l+jnl9DODg6Y8SYHyBLiMf5N7SP4F1b0bz152jaoi1s7RwwaPgYSPT0cPTwAQCAnYMTxk6Ygbq+n8DSygbVa9ZGT/8BuHjuX7x69VJVxaN8Zs2aBWNjY6Vt1qxZBdLFxcXh1atXsLCwUNpvYWGB6Ojot37O+fPncePGDQwYMEBpf+vWrbF+/XocPXoUc+bMwcmTJ9GmTRu8evWqZAV7A3auAaSkpCAgIAAXL17E0aNHIRaL0blzZ2RlZQlppkyZgokTJ+Ly5cvQ1tZGz549MXbsWCxcuBCnT5/GnTt3MHnyZADAd999hy+//BKtW7dGVFQUoqKi0KBBA7WULTMzE5F3bqOmd21hn1gsRk3v2kX+ZxQedqvAl71aPnWE9DHRUZDJEpTOaWhYAW7unggP1dz/4IrDpL434o4p/wf47MgZSOt7AwBEOjowrl0VcUf/zU2gUCDu2L8wqV9LhTl9f2wbBeXkv4Z3bhnflv+cesx7THY9+gj1EhlxGy9fvlRKU8XWDpUqVUZ46M0yKk3JsT6ylcW18qFj21DG+sjFusiV+fIlwu49Qr1q7sI+sViMetXccT3i3huOzJWWnoGXL1/BqIJBkWmSU19AJBKhgoF+ifNc1mKioyAvpH24unsiPKzwv2NR7aOGtw9uF3EMAKSmpsDAwABaWh/3XbDqHLkODAxEYmKi0hYYGFjqZVy9ejWqV6+OevXqKe3v0aMHOnTogOrVq6NTp07Yt28fLly4UKaDnh93a3utSxflEcY1a9agUqVKuHXrFipUyL5P47vvvkOrVq0AAKNGjcJXX32Fo0eP4pNPPgEA9O/fH0FBQQCAChUqQF9fH+np6W+d45+enl5gekRp3miflJSIrKwsmEilSvtNTKR4/OhRocfIZQkwMSmYXibL/kVUJsueglPYOXPeKy8kFuZIj4lT2pceEwcd44oQ60mgIzWGWFsb6bHx+dLEw9DdSZVZfW9sGwXJX5cjf/6N85Qxv+dF1KOxiRSPHz0EkF0v2to6QjzJYSLV7HphfWQri2vlQ8e2oYz1kYt1kUuelIxXWVkwNa6otN/U2Aj3n8a80zkWbd4Dc6kx6lUrfH2H9IxM/P7HHrRs4PNBdK5z24fyrXPGJlLhvfyy28erAjHV2ESKJ6/bR35JiXJs+2M9mrduXwq5puKSSCTv1K8xNzeHlpYWYmKUr4uYmJi39qVSUlKwZcsWTJ8+/a2f4+TkBHNzc9y5cwfNmjV7a/ri4Mg1gIiICHz11VdwcnKCkZERHBwcAAAPH+ZesDVq1BD+nTNloXr16kr7YmNj3/uz33W6BBGVvpPH/0aPL9oK28synCb0IWB9UFHYNpSxPnKxLspO0J7DOHL2En4JGAiJrk6B91++fIXAhauhUCgwvl93NeTw7U4dP4JeXVoLmyqmaKempuCnqeNha2eP7r36lvnnUcnp6urCx8cHR4/mLjKclZWFo0ePws/P743Hbtu2Denp6fjf//731s95/Pgx4uPjYWVlVeI8F4Uj1wDat28Pe3t7rFy5EtbW1sjKykK1atWUFt7Q0ckNaiKRqNB9eaeRv6vAwEAEBAQo7ZNIJLj3+Nl7n6swRkbGEIvFkOf7VVcul0FqWviCWyZS0wKL9MjlMkhf/8ooff3Lslwmg6mpmVIaRyfnUsm3pkiPiYPEwlxpn8TCHJmJz5GVlo6MOBmyXr6EpLJZvjRmSI9WHvHWNGwbQD3fBkor0WZmZl/z+fOfKJfB0anwVZwrFlGPiXnqUSqV4uXLTCQnJyuNushlMqHONAHro3Blca18aNg2lLE+crEuimZiVAFaYnGBxcsSEpNgZmL0xmM37Psb6/YeweIfhsPV3qbA+zkd6+g4GZZMHKGxo9Z1fT8RVvQGsqd4A9kj2NJ87cPhje1Dq0BMTZTLCoyAv0hNxcxJ30NP3wBjJ86Etja7OsV53rQ6BAQEoHfv3qhTpw7q1auHBQsWICUlRVg93N/fHzY2NgUGIVevXo1OnTrBzEz5u3hycjKmTZuGLl26wNLSEpGRkRg7dixcXFyE2chl4cOo7TIUHx+P8PBwTJw4Ec2aNYOnp2epTC/S1dV9p5vlJRIJjIyMlLbSnBauo6MDZxc3XLt6RdiXlZWFayFX4O7hVegx7h5euBZyWWlfyJVLQnoLSytIpaa4djU3TWpqCm6Hh8Lds/Bzfqjk/4XArGl9pX3mzRpA9l8IAECRmYnEyzdh3jTPr2oiEcya+EH+3xVoMrYNQN/AAFbWNsJma+fw3vnPrcfcY7Lr8bJQL86ubtDW1laquyePH+LZs1i4e1Yto9K9P9ZH4criWvnQsG0oY33kYl0UTUdbGx6OtsJiZEB2uS7cvI3qro5FHrd+7xGs3nkQv40fCi9n+wLv53SsH0Y/w+IJw2FSUXMfNZXdPqoIm62dA0ykprier31EhIfC3aPwv2NO+7gecknYl9M+3PIck5qagumTxkBbRweBk3+Crm7ZPs+YSlf37t0xd+5cTJ48Gd7e3ggJCcHBgweFGcMPHz5EVFSU0jHh4eE4c+YM+vfvX+B8WlpauHbtGjp06AA3Nzf0798fPj4+OH36dJk+6/qj/zlHKpXCzMwMK1asgJWVFR4+fFjos9Tel4ODAw4dOoTw8HCYmZnB2NhYaaRblTp27oqF8+bAxdUNrm4eCN6zA2npaWjeIvtXm/lzZ8PMzBz+fbNX2Gvf8QtMGPctdu/cijp16+P0yeOIjLiNYSOyR9hFIhHad/oCW7dsgpV1FVhYWGLzhrUwNTNHfb+GReZDE2gZGsDQxU54beBYBUY1PZCRkIi0R1FwnxkAPRsLXO07DgDwYMUW2A/tBY9Z3+NR0A6YN6kPq25tcKHDIOEc9xasRc01cyC/dAOJF67BYWRvaBvq49G6nSov3/ti21CWnf8u2LZlI6ytbVDZwkrIv2+e/E8KHIP6DRqiXfvOAICOnbth4bzZcHF1V6rHZi1aA8herKV5yzZYu3IJKlasCH0DQ6xc9hvcPb00urPF+shV2tcKkP1c1mexsUhIyF6z4cnj7Pu3pVLTIkfENQXbhjLWRy7WhbKe7Zpi2tIN8HSyQ1UXB/zx13G8SE9H+0bZP9xPWbIelaTGGP5VRwDAur1HsHzbfswc3htWlcwQJ08CABjoSWCgJ8HLl68wbsEqhN17hPljB+NVlkJIY1zBADoaPlIrEonwecdu2L5lPaysq6CypSX+2LAGUlMz1MvTPqb+8C3q+X2Ktu2/AAC07/wlFs2bBWdXD7i6eWDfnu1IT3uBpi3aAHjdsZ74HdLT0zDqu4lITU1BamoKAMDI2ARaWlqqL6yGEIlF6s7COxs+fDiGDx9e6HuFLULm7u4OhUJRaHp9fX0cOnSoNLP3TjT7ClQBsViMLVu2YOTIkahWrRrc3d3x22+/oXHjxiU678CBA3HixAnUqVMHycnJOH78eInPWVyfNmqCpKREbN4QBJkse3rulOmzhak0cc9iIc5z4Xl6VcWYsROwcf0abAhaA2sbGwROmg57h9xfWb/o2gNpaWlYsmgeUpKT4Vm1OqZMnwVdXV2Vl+99GPtUg9/RDcJrr7k/AAAerd+Ja/0DIbGqBH3b3PswXtx/jAsdBsHr10A4jPBH2uNoXB80EXFHch8XEbXtL+hWMoXblJGQWFZC0tVQnP98ADJiy/Y5eqWBbaOgzoXkf/L02Ur5j456iqTEROF1w0ZNkJgkxx8b1uapxzlK09X6fTMMIpEYc36ciszMTNTyqYNBQ0ersmjFwvrIVhbXyvn//sVv838RXs+dMxMA0KOnP776X28Vlaz42DaUsT5ysS5ytfTzgTwpGcu370e8/Dnc7G3w2/hhwrTw6LgE4XZDANhx5DQyX77EuAWrlc4zsEsbfNO1HWJlcpy6dB0A0Gv8bKU0yyaNhI+XWxmXqOQ6df0KaWkvsGzRXKSkJMPDqzomzfhFaaQ5Ouopniflto9PPmuKxEQ5tmxcA7ksAY5OLpg4/Rehfdy9cxsR4dkryw8b0FPp85au2YLKFmV3jy1RXiJFUd19UquwyMfqzoJG8HCugv067m9P+JFolxnOtpGHh3MVhEY+UXc2NIKnsw3rIg9PZxteK6/xOlHGa0UZ6yOXp7MNki4fUXc2NIZR7Ra4ceftzxj+WFRzefOq1Zrq8fBuavvsKr9vU9tnq8tHf881ERERERERUUmxc01ERERERERUQh/9PddERERERETlkujDWdCsPODINREREREREVEJceSaiIiIiIioHPqQHsVVHnDkmoiIiIiIiKiE2LkmIiIiIiIiKiFOCyciIiIiIiqHRGKOpaoSa5uIiIiIiIiohDhyTUREREREVA5xQTPV4sg1ERERERERUQlx5JqIiIiIiKgc4j3XqsXaJiIiIiIiIiohdq6JiIiIiIiISojTwomIiIiIiMohLmimWhy5JiIiIiIiIiohjlwTERERERGVQxy5Vi2OXBMRERERERGVEDvXRERERERERCXEaeFERERERETlEZ9zrVKsbSIiIiIiIqIS4sg1ERERERFROSQScUEzVRIpFAqFujNBREREREREpevZxL5q++xKM9eq7bPVhSPXGiry7l11Z0EjODs5ISzysbqzoTE8nKtgv467urOhMdplhuPf0OfqzoZGaOBZEQ3bn1R3NjTGmeBGeBgRqu5saAQ7V0/G0Tw8nKswbuTB2JHrTHAjhEY+UXc2NIansw1jRx4ezlXUnYViEfGea5VibRMRERERERGVEDvXRERERERERCXEaeFERERERETlkEjMBc1UiSPXRERERERERCXEkWsiIiIiIqLyiAuaqRRrm4iIiIiIiKiE2LkmIiIiIiIiKiFOCyciIiIiIiqHuKCZanHkmoiIiIiIiKiEOHJNRERERERUDolEHEtVJdY2ERERERERUQmxc01ERERERERUQpwWTkREREREVB5xQTOV4sg1ERERERERUQlx5JqIiIiIiKgcEok5lqpKrG0iIiIiIiKiEuLINRERERERUTkk4j3XKsWRayIiIiIiIqISYueaiIiIiIiIqIQ4LZyIiIiIiKg8EnEsVZVY28UUFBQEExMTdWeDiIiIiIiINABHroupe/fuaNu2rbqz8c6Cg4OxY/t2yGQyODo5YciQIXB3dy8y/enTp7Fh/XrExMTA2sYG/fr2Rd169QpNu2jRIvx14AC++eYbdOrcuayKUKr2B+/G7h1bIZMlwMHRGd8MGQE3d48i0/9z+iQ2bViL2JhoWFtXgX+/gahT11d4X6FQYPPGIBw5eAApKcnw8KqGIcNGwdqmiiqKU2ymDevAaUx/GNeuBj3ryrjYZShi9h598zGf1YPX3PGo4OWKtEdRuDNrKR6v36WUxn5ITzgF9IfEshKSroXh5ugZSLxwvSyLUmoUCgV2/7EcJ4/sQmpKMlw9auLrweNhaW1X5DHhNy/jr10b8CAyFHJZHEaMn4va9Rsrpbl49hhOHNyB+3fDkPI8EdPmbYKdU9HXoCbp38sB7VtaoqKhNq6HJmHukgg8jnpRZHp9fS0M7OWAz/zMITXWwe27yVi4MhJhEc+FNJ/5maNTGyu4O1eEsZEO+oy8iDv3UlRRnGLbs+8Atu3chQSZHM6ODhg2aCA83N2KTH/yzD9Yt3EzomNiYWNthQF9/OFbt47w/osXL7AqaAP+/e8ckp4/h6VFZXRq/znat22tiuKUGOOoMsYOZYwbuRQKBf7YGIQjB/cLbXvwsNFvbdsHgndj144/IX99jQ0cMgJu7p7C+xkZGVi7cinOnDqOzMwMeNeui8HDRsFEalrWRSq20o4bZ/85jYMHghF55zaeP3+O+YuWw8nZRRVF+WBwQTPV4sh1Menr66Ny5crqzsY7OXnyJFauWIGevXph0aJFcHJ0xKSJEyGXywtNf+vWLcyZPRstW7XCot9/h5+fH2bMmIH79+8XSPvvP/8gPCwMZmZmZVuIUnT65HGsWbkM3Xv6Y96iZXB0csbUSeMgl8sKTR966ybmzpmJ5i3bYP6i5fD1+wSzZkzGg/v3hDQ7t2/B/r27MGT4aPwy/3fo6elh6qTxyMjIUFWxikXL0ABJ18JxY+S0d0qv71AFdfcuR/yJczhTpyPuLVqH6stnwrxFQyGNVbc28PwlEBEzF+NMvc54fi0MvvtXQ7eS5v5nn9eBXetwZN8W+A8OxKSfg6Crp4d500YgMyO9yGPS017A1tEV/xs0rsg0GWkv4OrljW7+I8oi22WmVxdbdP3cBnOXROCb767gRdorzJteHbo6Rf9nPX6EG+rWkmLGvDD4j7iIC1dkWDCjBsxNdYU0+npiXLuVhKXr7qqiGCV24tQZLF+1Bv/7qgeWLpwHJ0cHBE6eBlkRcfRmaBh++vlXtG7RHEt/m4dP6vti6o+zce/+AyHNslVrcPHyZYwfMxqrly7CFx3b4/dlK/DvufMqKlXxMY4WxNiRi3FD2a7tW7Bv704MHv4tfp6/GHp6epg2adwb2/aZk8exZuVS9Ojpj3mLlsPByRnT8l1ja1YsxoXzZ/F94GTMnLMAsoR4zJ45RRVFKpayiBtpaWnwrFoN/n0HqqoYRG/EzvUb3L9/HyKRqMDWuHHjAtPCp06dCm9vbyxfvhy2trYwMDDAl19+icTERPUV4LVdu3ahdZs2aNmyJezs7TF8xAhIJBIcPny40PR79uyBT5066Nq1K+zs7ODv7w9nZ2cEBwcrpYuLi8PSpUvx/dix0NLSUkVRSsWeXdvRsnVbNG/ZGnZ2DhgyfDQkEgn+Pnyw0PTBe3aitk9dfNG1O2zt7NHLvy+cnF2xP3g3gOxfpIN370S3Hv+Dr98ncHB0xugx45AQH4f/zp5RYcne37NDp3B7ygLE7Pn7ndLbf9MDL+49RujYOUgOu4sHSzYheschOI7qI6RxHN0Xj1ZvxeN1O5EcGonrQ6fgVWoabPt0KaNSlB6FQoEjwX+g/Zf9Udu3MWwdXDFw1HTIEp7h8rkTRR5Xw+cTdOk1FD71mxSZpkGTdujYfSCq1ih8Boim6tbBBuu3PsCZc/GIvJ+CmfPDYGYqwaf1zQtNr6srRqMGlbBk7V1cvZmIJ1FpWPPHAzyJeoHOba2FdIeOxyJoywNcDCn8S5Wm2bF7D9q0aonWLZrB3s4Wo4YNgUQiwaEjhc/02LU3GHV9auPLLp1hb2uLPl/3gouzE/bsOyCkuRUajhZNm6BmjeqwtLBAu9at4OzogPDbEaoqVrExjipj7FDGuJEru23vwJd52vaoMeOREB+Hc29o23t2bUPL1m3RrGUb2No5YMjwbyGRSHD08F8AgJSUZPx9+C/0GzgENbxrw8XVDSO+HYuw0JsID7ulquK9l9KOGwDQpFkL9Ojpj5q1fFRUCqI3Y+f6DWxtbREVFSVsV65cgZmZGT777LNC09+5cwdbt25FcHAwDh48iCtXrmDo0KEqzrWyzMxM3ImIgLe3t7BPLBbD29sbYaGhhR4TFhqKWnnSA4CPj49S+qysLMydOxddunaFvb19WWS9TGRmZiLyzm3U9K4t7BOLxajpXbvI/4zCw24VCNq1fOoI6WOioyCTJSid09CwAtzcPREeqpn/wRWXSX1vxB07q7Tv2ZEzkNb3BgCIdHRgXLsq4o7+m5tAoUDcsX9hUr+WCnNaPM9iniBRFq/0JdbAsAKc3arhTviHMa29NFlb6MHcVIILeb7IpqS+wq3bSajmYVToMVpaImhriZCRkaW0Pz0jCzW8jMs0v2UlMzMTt+9EorZ3DWGfWCxGbe+auBUWXugxt8LCldIDQJ3atRCaJ72XpzvOnr+AuLh4KBQKhFy7jsdPn8KnlneZlKO0MI4WxNiRi3FDWU7bruGd2/7f1rZzrrG8x2RfYz7CNRMZcRsvX75USlPF1g6VKlVGeOjNMipN8ZVF3KB3JBarb/sIfZylfkdaWlqwtLSEpaUlTExMMHjwYPj5+WHq1KmFpk9LS8P69evh7e2Nzz77DIsWLcKWLVsQHR1d5Gekp6cjKSlJaUtPL3oK2ftKSkpCVlYWpFKp0n4TqRQJssJ/+ZXJZDApJL0sT/pt27ZBSyxGx44dSy2vqpCUlIisrKyC5TORQpaQUOgxclkCTEwKSS/LTp9TL4Wes4g6/lBJLMyRHhOntC89Jg46xhUh1pNA11wKsbY20mPj86WJh8Sy8BELTZIoz863kYnybQ5GxqZIlMUXdki5ZirNno4pk2cq7ZfJM4T38nvx4hWuhyaiTw97mJnqQiwGWjaujKruRjAr4hhNl5j0PDuO5lvEUmpiXOQ1LpPJCyx6KTUxRkKe6Y/DBn8De1tbfNWnP9p06oofJk/DiMGDUKNa1dIuQqliHC2IsSMX44Yy+es2nr9tG+dp//k9L+IaM85zjclkMmhr66BChQpKafJ/X9MUZRE3iDQRFzR7R/369cPz589x5MgRiIv4JcbOzg42NjbCaz8/P2RlZSE8PByWlpaFHjNr1ixMm6Z8v+uUKVPwtb9/6WW+lEVERGDvnj34bdEiiERcJIE+XGdP/oV1S38SXo+euEB9mdEALRpVxvfDchfoGju9eCNuM+aFIXCUO/as88PLVwrcjnyOv0/Fwt2lwtsP/ojsCd6P0PBwTJ/0AywqV8a1GzexaNlymJmZorZ3TXVnj96AsSMX44ayk8f/xtJF84TXE6fNUmNuiMDv6irGzvU7mDlzJg4dOoTz58+jYsWKpXruwMBABAQEKO2TSCR4/ORJqZzfyMgIYrG4wK+YcpkMpvl+PcwhlUohLyR9zuj3zRs3IJfL0TvPDwBZWVlYtWoVdu/ejaB160ol72XByMgYYrG4YPnkMkhNC19wy0RqWmCxDblcBunr1Thz6kUuk8HU1EwpjaOTc2lmX+3SY+IgsVAegZZYmCMz8Tmy0tKRESdD1suXkFQ2y5fGDOnRyiPemsC73mdwcqsmvH6Zmb24TJI8HiamueVMSkyArWPRq0KXF2fOx+PW7YvCa12d7B8SpSY6iJflLrwjNdHFnbvJRZ7naXQaRgRehZ5EDEMDbcTLMjBtrCeeRqeVXebLkLFRxew4mm/xMpk8scCsoBxSqUmBRSNl8kSYvh6FSU9Px5r1GzF1wnhhBXEnRwdE3ruHbTt3a3TnmnGUsSMvxg1l9XwbKK3onfm6beRv24lyGRydCl/VumIR11hinmtMKpXi5ctMJCcnK41e5/2+pknKIm4QaSJOC3+LHTt2YPr06di6dSucnd/8H/zDhw/x9OlT4fV///0HsVj8xkdeSSQSGBkZKW0SiaTU8q+jowMXV1dcDQkR9mVlZSEkJAQenp6FHuPh6YmQPOkB4MqVK0L6ps2aYfGSJfh98WJhMzMzQ5cuXTDzxx9LLe9lQUdHB84ubrh29YqwLysrC9dCrsDdw6vQY9w9vHAt5LLSvpArl4T0FpZWkEpNce1qbprU1BTcDg+Fu2fh5/xQyf8LgVnT+kr7zJs1gOy/EACAIjMTiZdvwrypX24CkQhmTfwg/+8KNI2+viEsrGyFzdrWCcZSM9y6dkFI8yI1GZG3b8DFvboac6oaL168wpOoNGG79zAVcQnpqFMz94uagb4WvNyMcCMs6a3nS0vPQrwsAxUNtVGvlinOnPswp8fq6OjAzcUZV65eE/ZlZWXhytVr8PIoPL57ebjjSsg1pX2Xr4TA83X6l69e4eXLlwVGFLTEYmQplO871TSMo4wdeTFuKNM3MICVtY2w2do5vHfbzr3Gco/JvsYuC9eMs6sbtLW1la6rJ48f4tmzWLh7at6tJWURN+gd8Z5rleLI9RvcuHED/v7+GDduHKpWrSrcO62rW/j9P3p6eujduzfmzp2LpKQkjBw5El9++WWRU8JVpXPnzpj3669wdXWFm7s79uzejfT0dLRo0QIAMHfuXJiZmaFv374AgI4dO2Lc2LHYuWMH6tarh5MnTyIiIgIjRo4EAOFHgLy0tLQglUpRpYrmP4+0Y+euWDhvDlxc3eDq5oHgPTuQlp6G5i1aAQDmz50NMzNz+PcdAABo3/ELTBj3LXbv3Io6devj9MnjiIy4jWEjsmcciEQitO/0BbZu2QQr6yqwsLDE5g1rYWpmjvp+DYvMhybQMjSAoUvuM1gNHKvAqKYHMhISkfYoCu4zA6BnY4GrfbMfE/NgxRbYD+0Fj1nf41HQDpg3qQ+rbm1wocMg4Rz3FqxFzTVzIL90A4kXrsFhZG9oG+rj0bqdKi/f+xKJRGjR/isEb1sNC2tbmFe2wa7NSyE1rYTavo2FdD9PGoLa9RujebvuAIC0F6mIjXokvP8s9gke3g2HYUVjmFXKvv6Tnyci4Vk0ZAnPAABRT7MfyWQsNYOxVHPvR9+29wl6d7fDo6cvEBWThgH/c0B8QjpO/5c7E2HBzBo4dTYOO/dn/7hYr5YUIhHw8MkL2FjpY1hfJzx8nIr9f+euP1GxgjYsKklgbpr9Y6KdjQEAIEGWgYR892pqgi6dOuLn+Qvh5uoCdzdX7NoTjLS0NLRq3gwAMOfXBTA3M0P/Pl8DADp3aI8x4ydg287d8K1bBydOncbtO5EYPTx7kUtDAwPUqFYVK9esg0RXF5UrV8a1Gzdw5NgJDB7QV23lfFeMo8oYO5QxbuTKbttdsG3LRlhb26CyhZXQtn3ztO1JgWNQv0FDtGvfGQDQsXM3LJw3Gy6u7krXWLMWrQFkL4rWvGUbrF25BBUrVoS+gSFWLvsN7p5eGtv5LO24AQDPnyfhWWwsEhKyf4R58jj7epJKTYscEScqS+xcv8HFixeRmpqKmTNnYubMmcL+Ro0aoU+fPgXSu7i44IsvvkDbtm2RkJCAzz//HEuWLFFhjgvXqFEjJCUmYsPGjZAlJMDJ2RnTZ8wQpg09i42FOM/oiZeXF8aOG4f169YhKCgINjY2mDRpEhwcHNRUgtL1aaMmSEpKxOYNQZDJsqccTpk+GyavpxnFPYuFWJxbH55eVTFm7ARsXL8GG4LWwNrGBoGTpsPewVFI80XXHkhLS8OSRfOQkpwMz6rVMWX6rCJ/iNEUxj7V4Hd0g/Daa+4PAIBH63fiWv9ASKwqQd/WSnj/xf3HuNBhELx+DYTDCH+kPY7G9UETEXck93EiUdv+gm4lU7hNGQmJZSUkXQ3F+c8HICP2wxh9aNu5NzLS0hC05CekpjyHm6c3Aib/Bh3d3BklsdGPkZwkF17fv3MLcyYNFl5vWTMfAPBJk88xYNRUAEDI+VNYvSh3fYVlr+u6Y/eB6PRV7o8TmmbTjkfQ09PC2OFuqGCojeu3EjFmynVkZCqENDaW+jAx0hFeVzDUxiB/R1QylyDpeSZO/huHFRvu4dWr3GMa+pphwmgP4fX0cdlfBtdsvo81f+Q+C1pTNP6sIeSJiVi38Q/IZDI4Oznip+lTIJWaAABinz2DKE/cqOrpgcDvAxC0YRPWrt8IG2trTJ0wHo4OuU9XmDDuO6xetwGz5s7H8+RkWFSuhL5f98LnbVqrunjvjXG0IMaOXIwbyjoX0rYnT5+t1Lajo54iKc/jWxs2aoLEJDn+2LA2zzU2R7jGAKDfN8MgEokx58epyMzMRC2fOhg0dLQqi/ZeyiJunP/vX/w2/xfh9dw52d/Xe/T0x1f/662ikhHlEikUCsXbk9HbTJ06Fbt37y4wnbq4Iu/eLZXzfOicnZwQFvlY3dnQGB7OVbBfp+jbDD427TLD8W/oc3VnQyM08KyIhu1PqjsbGuNMcCM8jCj8cYMfGztXT8bRPDycqzBu5MHYketMcCOERpbOmjflgaezDWNHHh7Omj87szDJi8eq7bMrDPtZbZ+tLh/nZHgiIiIiIiKiUsRp4UREREREROWRiGOpqsTaLiVTp04ttSnhRERERERE9GFh55qIiIiIiIiohDgtnIiIiIiIqDzKswI7lT2OXBMRERERERGVEEeuiYiIiIiIyiERFzRTKdY2ERERERERUQlx5JqIiIiIiKg84j3XKsWRayIiIiIiIqISYueaiIiIiIiIqIQ4LZyIiIiIiKgcEok5lqpKrG0iIiIiIiJSq8WLF8PBwQF6enrw9fXF+fPni0wbFBQEkUiktOnp6SmlUSgUmDx5MqysrKCvr4/mzZsjIiKiTMvAzjUREREREVF5JBKpb3sPf/75JwICAjBlyhRcvnwZNWvWRKtWrRAbG1vkMUZGRoiKihK2Bw8eKL3/888/47fffsOyZctw7tw5GBoaolWrVkhLSytWVb4Ldq6JiIiIiIhIbebNm4eBAweib9++8PLywrJly2BgYIA1a9YUeYxIJIKlpaWwWVhYCO8pFAosWLAAEydORMeOHVGjRg2sX78eT58+xe7du8usHOxcExERERERUalKT09HUlKS0paenl4gXUZGBi5duoTmzZsL+8RiMZo3b46zZ88Wef7k5GTY29vD1tYWHTt2xM2bN4X37t27h+joaKVzGhsbw9fX943nLCl2romIiIiIiMojsVht26xZs2BsbKy0zZo1q0AW4+Li8OrVK6WRZwCwsLBAdHR0ocVyd3fHmjVrsGfPHmzcuBFZWVlo0KABHj9+DADCce9zztLA1cKJiIiIiIioVAUGBiIgIEBpn0QiKZVz+/n5wc/PT3jdoEEDeHp6Yvny5ZgxY0apfEZxsHNNRERERERUHr3nwmKlSSKRvFNn2tzcHFpaWoiJiVHaHxMTA0tLy3f6LB0dHdSqVQt37twBAOG4mJgYWFlZKZ3T29v7HUvw/jgtnIiIiIiIiNRCV1cXPj4+OHr0qLAvKysLR48eVRqdfpNXr17h+vXrQkfa0dERlpaWSudMSkrCuXPn3vmcxcGRayIiIiIionJIJP4wxlIDAgLQu3dv1KlTB/Xq1cOCBQuQkpKCvn37AgD8/f1hY2Mj3LM9ffp01K9fHy4uLpDL5fjll1/w4MEDDBgwAED2SuKjR4/GzJkz4erqCkdHR0yaNAnW1tbo1KlTmZWDnWsiIiIiIiJSm+7du+PZs2eYPHkyoqOj4e3tjYMHDwoLkj18+BDiPD8UyGQyDBw4ENHR0ZBKpfDx8cG///4LLy8vIc3YsWORkpKCb775BnK5HA0bNsTBgwehp6dXZuUQKRQKRZmdnYiIiIiIiNTixYaZavts/a8nqu2z1YUj1xrqSkScurOgEWq5miM08om6s6ExPJ1t8G/oc3VnQ2M08KyI/Tru6s6GRmiXGY6bd6LUnQ2NUdXFCiduvFB3NjRC42r6CIt8rO5saAwP5yqMG3kwduSq6mLFayUPD+cquHXnqbqzoTG8XKzVnYXiEX0Y08LLC9Y2ERERERERUQlx5JqIiIiIiKg8EqvvUVwfI45cExEREREREZUQO9dEREREREREJcRp4UREREREROWQiAuaqRRrm4iIiIiIiKiEOHJNRERERERUHnFBM5XiyDURERERERFRCXHkmoiIiIiIqDziPdcqxdomIiIiIiIiKiF2romIiIiIiIhKiNPCiYiIiIiIyiMRFzRTJY5cExEREREREZUQR66JiIiIiIjKIzHHUlWJtU1ERERERERUQuxcExEREREREZUQp4UTERERERGVR3zOtUqxtomIiIiIiIhKiCPXRERERERE5ZGYj+JSJY5cExEREREREZUQO9fvqHHjxhg9erS6s0FERERERPRuRGL1bR8hTgsvAydOnECTJk0gk8lgYmKi7uwAABQKBbZtWoVjh4KRkvIc7p410H/od7CysX3jcYf27UDwzs1IlCXAztEFfQd9Cxd3L6U0t0Nv4M8Ny3En/BbEYjHsnVzxw/T50JVIyrJIJaJQKPDHxiAcObgfKSnJ8PCqhsHDRsPapsobjzsQvBu7dvwJuSwBDo7OGDhkBNzcPYX3MzIysHblUpw5dRyZmRnwrl0Xg4eNgonUtKyLVGwKhQK7/1iOk0d2ITUlGa4eNfH14PGwtLYr8pjwm5fx164NeBAZCrksDiPGz0Xt+o2V0lw8ewwnDu7A/bthSHmeiGnzNsHOyb2MS1Mypg3rwGlMfxjXrgY968q42GUoYvYeffMxn9WD19zxqODlirRHUbgzayker9+llMZ+SE84BfSHxLISkq6F4eboGUi8cL0si1JqFAoFtmxciyOH9iE1JRkentXwzbCAt14rf+3bhd07try+VlwwYPBIuL6+Vp4/T8KWjWtx9cpFxD2LgZGxCerVb4ivvu4HQ8MKqihWsSgUCgRvWYrTf+/Ei9TncHb3Rs9vfoCFtX2Rx9y+eQmH96zDw7uhSJQ9w5Cx8+Dt27RAuqjHd7Fzw0LcvnUJWa9ewqqKEwZ//ytMK1mVZZFKZH/wbuzesRWy1/HwmyEj4ObuUWT6f06fxKYNaxEbEw1r6yrw7zcQder6Cu8rFAps3hiEIwcPCHF5yLBRb21rmuB9rnGRtjacxw1Cla87Qc/GAim37yEscC6eHT4tpNGqYAj3aaNg0bE5JJXNkBRyCzcDfkLiRcaNDy1uALxW8sv+DrYWfx96/R3MsxoGDfv27d/B9u3C7jzfwQYMHqn0HezwX8E4dfIo7t6JwIsXqdj4ZzAMK2h226Dy5+P8SeEjtHfHJhwM3o4Bw77HzF9XQqKnh1mTA5CRkV7kMf+e+hsbVi1C16/6YdbCNbB3dMGsyQFIlMuENLdDb2DWlADUqFUPM+etxI/zV6HV510g0vD7O3Zt34J9e3di8PBv8fP8xdDT08O0SeOQkZFR5DFnTh7HmpVL0aOnP+YtWg4HJ2dMmzQO8jz1sWbFYlw4fxbfB07GzDkLIEuIx+yZU1RRpGI7sGsdjuzbAv/BgZj0cxB09fQwb9oIZL6hbaSnvYCtoyv+N2hckWky0l7A1csb3fxHlEW2y4SWoQGSroXjxshp75Re36EK6u5djvgT53CmTkfcW7QO1ZfPhHmLhkIaq25t4PlLICJmLsaZep3x/FoYfPevhm4lzf3BJa9d2//A/uAdGDwsALPnLYVETx8zJn3/xthx5tQxrF25BF/27IO5v62Eg6Mzpk/6XrhWEuLjIEuIR+/+Q7BgyVqM+HY8rlw6j8ULf1ZVsYrl0O4gHDuwGb0GTcD4WRsg0dPHbzOGvvFayUh/gSoObvhqYGCRaZ5FP8IvE/rC0sYBY6atwuR529Cu2zfQ1tXcHyhPnzyONSuXoXtPf8xbtAyOTs6Ymi8e5hV66ybmzpmJ5i3bYP6i5fD1+wSzZkzGg/v3hDQ7t2/B/r27MGT4aPwy/3fo6elh6qTxb4zLmuB9r3H36aNhP7A7bo6egZM12uLBii3w2f47jLxzOwk1ls+EebMGuNpnLE7Vao9nR/6B78G1kFhXVlWxSoRxIxevlYJ2bd+C/cE7MWjYt5gzbwkkenqYPmnsm7+DnTqGtSuXonvP3vj1txWv28dYpXpMT09Hrdr10OXLXqooBlGh2Lkuhg0bNqBOnTqoWLEiLC0t0bNnT8TGxgIA7t+/jyZNmgAApFIpRCIR+vTpo8bcZv9C+NeerejcvTfq1P8U9o4uGBYwCbKEOFw8e7rI4/bv/hNNW7VH4xbtUMXOEQOGfQ9diQQnjuwT0qxftRCt23dFx25fw9beCdZV7OH3aTPo6OiqomjFolAoELx7B77s8T/4+n0CB0dnjBozHgnxcTh39kyRx+3ZtQ0tW7dFs5ZtYGvngCHDv4VEIsHRw38BAFJSkvH34b/Qb+AQ1PCuDRdXN4z4dizCQm8iPOyWqor3XhQKBY4E/4H2X/ZHbd/GsHVwxcBR0yFLeIbL504UeVwNn0/QpddQ+NRvUmSaBk3aoWP3gahao14Z5LxsPDt0CrenLEDMnr/fKb39Nz3w4t5jhI6dg+Swu3iwZBOidxyC46g+QhrH0X3xaPVWPF63E8mhkbg+dApepabBtk+XMipF6VEoFNi3Zzu6dv8a9fwawsHRGSPHBCIhIQ7n33CtBO/ahhat26FZi+xrZdDwAEj09HDs8AEAgL2DE8ZOmI66vg1gaWWD6jVro5f/AFw8dxavXr1UVfHei0KhwNF9m9C260B412uCKg5u6DtiBuSyZwg5f7zI46rVbohOPYejViGj1Tl2b/4d1Wo3RBf/b2Hn5IFKlraoWbcxjIw19weYPbu2o2XrtmjesjXs7BwwZPhoSCQS/H34YKHpg/fsRG2fuviia3fY2tmjl39fODm7Yn/wbgA5cXknuuWJy6PHjENCfBz+e0Nb0wTve43b9OqIO3OW4dnBU3hx7zEeLv8DsX+dhNO3/QAAYj0JLL9oibDAX5Bw5iJSIx8iYsbvSI18APtBPVVZtGJh3FDGa0VZTvvo1v1r+L5uH6Net483fQfbm699DH7dPnK+gwFA+05d0eXLnnD38CryPB8lkUh920eInetiyMzMxIwZM3D16lXs3r0b9+/fFzrQtra22LFjBwAgPDwcUVFRWLhwoRpzC8TGPIVcFo/q3nWEfQaGFeDi7oXbYTcKPeZlZibu3QlHde+6wj6xWIzq3nWEYxLlMtwJvwVjEykmfTcIg/73OaaNH4awm1fLtkAlFBMdBZksATW8fYR9hoYV4ObuifDQwjvBmZmZiLxzW+kYsViMmt4+Qsc5MuI2Xr58qZSmiq0dKlWqjPDQm2VUmpJ5FvMEibJ4pQ6wgWEFOLtVw53wD2P6oTqZ1PdG3LGzSvueHTkDaX1vAIBIRwfGtasi7ui/uQkUCsQd+xcm9WupMKfFExMdBbksATXzXSuu7l5F/mCUfa2EF7hWauS5VgqTkpoMAwMDaGlp5t1KcTFPkCSPg2eN3KmZ+oYV4ehaHXfDix/zsrKycP3SaVhY22Ph9CH4rm8TzBr/P4ScO1Ya2S4TOfGwpndtYV92PKxd5N84POwWatbyUdpXy6eOkD4nLuc959visiYozjUuluggK015hC4rLR3SBtllF2lrQ6ytjVdpyqO8r16kw/ST2tB0jBu5eK0UlJv//O3DE+FhhX9Xyq3H/O2jdpHHEKkLO9fF0K9fP7Rp0wZOTk6oX78+fvvtN/z1119ITk6GlpYWTE2zRxsqV64MS0tLGBsbF3mu9PR0JCUlKW3p6UVPmyoOuSwBAGBsojwKYmxiCrk8vtBjkpLkyMp6Vfgxr88XG/0EALB98xo0a9UB46fNg4OzG2ZOGIWoJ49KtQylKSf/JlKp0n5jEylkr9/L73lSIrKysgo/JiH7GJlMBm1tHVTId3+PiVQKmazw6V/qlvj6729kYqa038jYFImywtsG5ZJYmCM9Jk5pX3pMHHSMK0KsJ4GuuRRibW2kx8bnSxMPiaW5KrNaLELsyLdmgMm7XCsmBY+RF3FMUqIc2/7YgBat25dCrstGkjz771zotVJEHH0XzxMTkJ6WioO71qBqrQYYNXkpatVrimW/jMHtmxdLlOeyklREPDTJEw/zk8sSYGJSSHpZbvwECsbl7DSaGT8BFOsaf3b4DBxH9YGBiz0gEsG8WQNYdmoBiVX2lO9XySmQnb0M1wlDs/eJxbDp2QHS+t6QWGr+tHDGjVy8VgrKbR8F81/U3zqnfRgXUi9FHUN5iMXq2z5CH2epS+jSpUto37497OzsULFiRTRq1AgA8PDhw/c+16xZs2BsbKy0zZo1q0T5O3P8EHp3bS5sr16WzXSpLIUCANCsdUc0btEOjs5u6D1wFKyr2ClNHVe3k8f/Ro8v2grby1ev1J0ltTl78i8M7vGpsJVV26AP08njR9CzS2thU8VUy9TUFPw4NRC2dvbo3qtPmX/euzp3aj9G9vITtrKqC4UiCwBQs25jNG//NWwdPdD6i36o7vMZTh3aXiafSep1K+BHpNx5gMY3/kKb1BuounAyHq3bCWRlCWlC+owFRCI0f3gabVKuw2H413j6536lNJqCcYPe5OTxI/iqSxthe6nBU/iJSoNmzqPRYCkpKWjVqhVatWqFTZs2oVKlSnj48CFatWpVrIUkAgMDERAQoLRPIpHg1sPnxc6jj29DuLhXFV5nZmbnK1GeAKlp7i/pifIE2Du6FnoOIyMTiMVaSJQr/yKYKE8QVr6WSrNHcKrYOSqlsba1R9yzmGLnv7TV822gtJpkTn3IZTKYmuaOQiXKZXB0cin0HBWNjCEWiyHP96twolwGqWlOfUjx8mUmkpOTlUav5TIZpPl+oVUX73qfwcmtmvD65eu6SJLHwyRP20hKTICto5vK8/ehSY+Jg8RCeXRKYmGOzMTnyEpLR0acDFkvX0JS2SxfGjOkRyuPeGuCer6f5LtWMgEAibIEpWtF/i7XSr7YIZfLCqya/yI1FTMmjYW+vj7GTZwBbW3N+S+pZt3GcHStLrzOe60YSysJ+5MSE2DrUPxrpUJFKcRa2rCydVbab1nFEZGhV4p93rJkVEQ8lOeJh/mZSE0LLOAkl8sglebGT6BgXM5ua8p1o0mKc41nxMlwqeswiCW60DEzQfrTWHj89B1S7+bO+Eq9+wj/NfsaWgb60DaqgPToZ6i1aT5S72nerDDGjaLxWslpH7n3QAvfSQvN/5vbR2Ih9aLJT2OhjxNHrt9TWFgY4uPjMXv2bHz66afw8PAQFjPLoaubvZjXq3cYIZVIJDAyMlLaJCV8hJW+gSEsrasIWxU7R5hIzXAj5JKQJjU1BXfCb8HNo1qh59DW0YGjiztuXM2dlpiVlYUbVy8Jx1SysILU1BxPHz9QOjb6ySOYV7YsURlKk76BAaysbYTN1s4BUqkprl29LKRJTU3B7fBQuHsWvgiGjo4OnF3clI7JysrCtZDLwsIZzq5u0NbWxrWQ3DRPHj/Es2excPesWuCc6qCvbwgLK1ths7Z1grHUDLeuXRDSvEhNRuTtG3Bxr/6GMxEAyP8LgVnT+kr7zJs1gOy/EACAIjMTiZdvwrypX24CkQhmTfwg/0/zOk7Z10oVYbO1c4BJIddKRPitIheMyb5W3JWug+xr5ZLSMampKZg26Tto62gjcPJP0NWwlbH19A1R2cpO2KxsnWFkYo6w6+eFNC9Sk3Ev4jqc3GsW+3O0dXTg4OKFmCf3lfbHPn2gsY/hyo2HuW04+298pch24e7hpdQmACDkSm6bsLC0eu+4rAlKco1npWcg/WksRNrasOzcEjHBBR/79yr1BdKjn0HbxAiVWjZEdCFp1I1xo2i8Vt79O1hEeCjcPQr/riTUY772cT3kcpHHUB5c0EylNPfnPg1lZ2cHXV1dLFq0CIMHD8aNGzcwY8YMpTT29vYQiUTYt28f2rZtC319/QL34aqSSCRCm45fYtef62BpUwWVLayxdeNKSE3NUcfvUyHdjB9Goq7fZ2jdvisAoF2n7lg6/0c4uXrAxc0LB/ZsRXpaGho1byect32Xnti2aTXsHV3h4OSKk0cP4MnjBxgdOFMtZX0XIpEI7Tt1wbYtG2FtbYPKFlbYvGEtTM3M4euX+wilSYFjUL9BQ7Rr3xkA0LFzNyycNxsuru5wdfNA8J4dSEtPQ7MWrQFkL8jRvGUbrF25BBUrVoS+gSFWLvsN7p5eGrtypUgkQov2XyF422pYWNvCvLINdm1eCqlpJdT2bSyk+3nSENSu3xjN23UHAKS9SEVsVO4IyrPYJ3h4NxyGFY1hVin7h5Xk54lIeBYNWcIzAEDU0+wfYYylZjCWaub9xlqGBjB0yX2+t4FjFRjV9EBGQiLSHkXBfWYA9GwscLVv9iPIHqzYAvuhveAx63s8CtoB8yb1YdWtDS50GCSc496Ctai5Zg7kl24g8cI1OIzsDW1D/expoBpOJBLh845dsX3LBlhZV4GFpRX+2LAapqbmqJfnWpnyQwB8/RqibfsvAADtO3fDonmzXl8rngjesx3paWlo2qINgNdfkCd+h4z0dIz+bgJSU1OQmpoCADAyNoGWlpbqC/sWIpEIzT7vhQPbV6KylR3MK9tgzx+LYSKtBO96uavmz5v6DWrVa4ombXsAyL5WnkXn3jIUF/sEj+6FwbCCsdB5btmxD1bOGwtXr9pwr1YXN6/8i2sXT2HM9FWqLeR76Ni5KxbOmwMXVzeleNi8RSsAwPy5s2FmZg7/vgMAAO07foEJ477F7p1bUadufZw+eRyREbcxbET2zK3suPwFtm7ZlN3WLCyFuFw/T1vTRG+7xmuunYO0JzEInzgPAGBSrwb0rC2QeDUUetYWcJs8AiKxGJFzc//e5i0aQiQSIfn2PRg628Fjzlgkh9/F4yDGjQ8pbgC8VvLLaR/btmyAlbUNLCytsHnDGpiaKn8Hm/xDAOr7fYq2r7+DdejcDb/Nmw1nVze4unli357tSEvL/Q4GALKEBMhlCYiKyl4T6MH9u9DXN4B55cqoWNFItQWljxY71++pUqVKCAoKwg8//IDffvsNtWvXxty5c9GhQwchjY2NDaZNm4bx48ejb9++8Pf3R1BQkPoyDaBDl15IT3uBlYt+RmpKMty9amD89F+VfvWNiX6C50mJwusGnzXPXjBk4yrIZQmwd3LF+Om/Kk3BaduxOzIzMrB+1W9IeZ4EO0cXTJixAJZWVVRavvfVuWsPpKWlYcmieUhJToZn1eqYPH22MOsAAKKjniIpMbc+GjZqgsQkOf7YsBYyWfb0qynT5yjVR79vhkEkEmPOj1ORmZmJWj51MGjoaFUW7b217dwbGWlpCFryE1JTnsPN0xsBk3+DTp62ERv9GMlJcuH1/Tu3MGfSYOH1ljXzAQCfNPkcA0ZNBQCEnD+F1Ytynxe9bO4PAICO3Qei01e5nU9NYuxTDX5HNwivvV7n+dH6nbjWPxASq0rQt80dTXxx/zEudBgEr18D4TDCH2mPo3F90ETEHcl9nEjUtr+gW8kUblNGQmJZCUlXQ3H+8wHIiP0wFozr3PUrpKelYdmiuUhJSYanV3VMmvGzUuyIjnqCpDyxo+FnTZGUKMcfG9dCLkuAo5MLJk3/WbhW7t65jYjwUADA0AHKzyNdtuYPVLbQzBHbVp36ICPtBTYum4HUlOdw8aiFkZOWKF0rcdGPkPw8d+rig8ibmDdloPB6W9CvAAC/xu3RZ0T2D7O1fJui1zcTcXDnavy55mdYWNtj0Pdz4eKpuSvKf9qoCZKSErF5Q1CeeDhb+BvHPYuFWJw7auHpVRVjxk7AxvVrsCFoDaxtbBA4aTrsHXJvK/qikLg8Zfospbisid52jevbWkGR515psUQCt2mjYeBki1fJqYg9eBIhfcbiZWLu7WA6xhWzf8yrYonMBDmidx1G+KT5UHwg62QwbuTitVJQ9newF1i66Nc87WNOwe9gBdpHIrZsDIJMlgBHJ2dMzvcd7NBfe/Hn5nXC6wnjRgEARoweh6Z5OuEfHREnKquSSKF4vSoVaZQrEZp3P6Y61HI1R2jkE3VnQ2N4Otvg39Di349f3jTwrIj9Ou7qzoZGaJcZjpt3otSdDY1R1cUKJ268UHc2NELjavoIi3ys7mxoDA/nKowbeTB25KrqYsVrJQ8P5yq4deepurOhMbxcrNWdhWJJO7BCbZ+t1/YbtX22uvCnDCIiIiIiIqIS4rRwIiIiIiKi8ugjfd60urC2iYiIiIiIiEqII9dERERERETl0Uf6SCx14cg1ERERERERUQlx5JqIiIiIiKg84qO4VIq1TURERERERFRC7FwTERERERERlRCnhRMREREREZVHXNBMpThyTURERERERFRCHLkmIiIiIiIqj8QcS1Ul1jYRERERERFRCbFzTURERERERFRCnBZORERERERUDim4oJlKceSaiIiIiIiIqIQ4ck1ERERERFQeiTiWqkqsbSIiIiIiIqIS4sg1ERERERFRecSRa5VibRMRERERERGVEDvXRERERERERCXEaeFERERERETlEB/FpVocuSYiIiIiIiIqIZFCoVCoOxNERERERERUulJPbVXbZxt89qXaPltdOC1cQ4VEPFN3FjSCt2slhEY+UXc2NIansw0atj+p7mxojDPBjXDzTpS6s6ERqrpYYb+Ou7qzoTHaZYbjSkScurOhEWq5mjOO5uHpbMO4kQdjR652meEIi3ys7mxoDA/nKowdeXg626g7C/QB4LRwIiIiIiIiohLiyDUREREREVF5xAXNVIoj10REREREREQlxJFrIiIiIiKi8kjMsVRVYm0TERERERERlRBHromIiIiIiMohBe+5VimOXBMRERERERGVEDvXRERERERERCXEaeFERERERETlkYhjqarE2iYiIiIiIiIqIY5cExERERERlUMKjlyrFGubiIiIiIiIqITYuSYiIiIiIiIqIXauiYiIiIiIyiORSH3be1q8eDEcHBygp6cHX19fnD9/vsi0K1euxKeffgqpVAqpVIrmzZsXSN+nTx+IRCKlrXXr1u+dr/fBzjURERERERGpzZ9//omAgABMmTIFly9fRs2aNdGqVSvExsYWmv7EiRP46quvcPz4cZw9exa2trZo2bIlnjx5opSudevWiIqKErY//vijTMvBBc2IiIiIiIjKIXUuaJaeno709HSlfRKJBBKJpEDaefPmYeDAgejbty8AYNmyZdi/fz/WrFmD8ePHF0i/adMmpderVq3Cjh07cPToUfj7+yt9nqWlZWkU551w5JqIiIiIiIhK1axZs2BsbKy0zZo1q0C6jIwMXLp0Cc2bNxf2icViNG/eHGfPnn2nz0pNTUVmZiZMTU2V9p84cQKVK1eGu7s7hgwZgvj4+JIV6i04ck1ERERERFQeFePe59ISGBiIgIAApX2FjVrHxcXh1atXsLCwUNpvYWGBsLCwd/qscePGwdraWqmD3rp1a3zxxRdwdHREZGQkfvjhB7Rp0wZnz56FlpZWMUr0duxcExERERERUakqagp4aZs9eza2bNmCEydOQE9PT9jfo0cP4d/Vq1dHjRo14OzsjBMnTqBZs2ZlkhdOCyciIiIiIiK1MDc3h5aWFmJiYpT2x8TEvPV+6blz52L27Nk4fPgwatSo8ca0Tk5OMDc3x507d0qc56J8tJ3rxo0bY/To0erOBhERERERUdkQidW3vSNdXV34+Pjg6NGjwr6srCwcPXoUfn5+RR73888/Y8aMGTh48CDq1Knz1s95/Pgx4uPjYWVl9c55e1+cFv6RUCgU2LZpNY4eCkZKynO4e1bHgKHfwcrG9o3HHdq3A8E7/4BclgB7R2f0HfQtXNy9hPenjR+OWzdClI5p3rojBg7/viyKUWoUCgX+2BiEIwf3IyUlGR5e1TB42GhY21R543EHgndj144/IZclwMHRGQOHjICbu6fwfkZGBtauXIozp44jMzMD3rXrYvCwUTCRmr7hrOrXv5cD2re0REVDbVwPTcLcJRF4HPWiyPT6+loY2MsBn/mZQ2qsg9t3k7FwZSTCIp4LaT7zM0enNlZwd64IYyMd9Bl5EXfupaiiOCWiUCiwZeNaHDm0D6kpyfDwrIZvhgW8tW38tW8Xdu/Y8rptuGDA4JFwfd02nj9PwpaNa3H1ykXEPYuBkbEJ6tVviK++7gdDwwqqKNZ7M21YB05j+sO4djXoWVfGxS5DEbP36JuP+awevOaORwUvV6Q9isKdWUvxeP0upTT2Q3rCKaA/JJaVkHQtDDdHz0DihetlWZRSkx1HV+GYEEdroP87x9HNSJQlwM7RpdA4GnrjitIxzVt3xIDhY8ukHKWFcVQZY0c2xo6C9gfvxu4dWyF73ea/GTICbu4eRab/5/RJbNqwFrEx0bC2rgL/fgNRp66v8L5CocDmjUE4cvCAcO0NGTbqrW1NUzB2UGECAgLQu3dv1KlTB/Xq1cOCBQuQkpIirB7u7+8PGxsbYUG0OXPmYPLkydi8eTMcHBwQHR0NAKhQoQIqVKiA5ORkTJs2DV26dIGlpSUiIyMxduxYuLi4oFWrVmVWjo925Ppjs3fHJvwVvB0Dhn2HH39dAT09ffw0OQAZGelFHvPvqaNYv+p3dPmqL2YvXA17Rxf8NDkAiXKZUrpmrdpj+YY9wtar39CyLk6J7dq+Bfv27sTg4d/i5/mLoaenh2mTxiEjI6PIY86cPI41K5eiR09/zFu0HA5Ozpg2aRzkeepjzYrFuHD+LL4PnIyZcxZAlhCP2TOnqKJIxdariy26fm6DuUsi8M13V/Ai7RXmTa8OXZ2iF8AYP8INdWtJMWNeGPxHXMSFKzIsmFED5qa6Qhp9PTGu3UrC0nV3VVGMUrNr+x/YH7wDg4cFYPa8pZDo6WPGpO/feK2cOXUMa1cuwZc9+2Dubyvh4OiM6ZO+F9pGQnwcZAnx6N1/CBYsWYsR347HlUvnsXjhz6oq1nvTMjRA0rVw3Bg57Z3S6ztUQd29yxF/4hzO1OmIe4vWofrymTBv0VBIY9WtDTx/CUTEzMU4U68znl8Lg+/+1dCt9GF88dm7YxMOBm/HgGHfY+avKyHR08Ost8bRv7Fh1SJ0/aofZi1cA3tHF8wqJI42bdUByzbsFbae/YaVdXFKjHFUGWNHNsYOZadPHsealcvQvac/5i1aBkcnZ0zN1+bzCr11E3PnzETzlm0wf9Fy+Pp9glkzJuPB/XtCmp3bt2D/3l0YMnw0fpn/O/T09DB10vg3XnuahLFDtRQikdq299G9e3fMnTsXkydPhre3N0JCQnDw4EFhkbOHDx8iKipKSL906VJkZGSga9eusLKyEra5c+cCALS0tHDt2jV06NABbm5u6N+/P3x8fHD69OkyvQ+cnWsAMpkM/v7+kEqlMDAwQJs2bRARESG8HxQUBBMTExw6dAienp6oUKGC8EDyHC9fvsTIkSNhYmICMzMzjBs3Dr1790anTp3UUCJlCoUCB/Zswxfd/VG3/qewd3TBsICJkCXE48LZ00Uet3/3FjRr1R5NWrRDFTtHDBj2PXQlejh+ZJ9SOl2JHkykZsJmYGBY1kUqEYVCgeDdO/Blj//B1+8TODg6Y9SY8UiIj8O5s2eKPG7Prm1o2botmrVsA1s7BwwZ/i0kEgmOHv4LAJCSkoy/D/+FfgOHoIZ3bbi4umHEt2MRFnoT4WG3VFW899atgw3Wb32AM+fiEXk/BTPnh8HMVIJP65sXml5XV4xGDSphydq7uHozEU+i0rDmjwd4EvUCndtaC+kOHY9F0JYHuBhS+BcITaRQKLBvz3Z07f416vk1hIOjM0aOCURCQhzOv6FtBO/ahhat26FZi+y2MWh4ACR6ejh2+AAAwN7BCWMnTEdd3wawtLJB9Zq10ct/AC6eO4tXr16qqnjv5dmhU7g9ZQFi9vz9Tuntv+mBF/ceI3TsHCSH3cWDJZsQveMQHEf1EdI4ju6LR6u34vG6nUgOjcT1oVPwKjUNtn26lFEpSo9CocBfe7aic/feqCPE0UmQJcTh4hvj6J9o2qo9GivFUQlO5IujEomEcRQfbhxl7MjF2KFsz67taNm6LZq3bA07OwcMGT4aEokEfx8+WGj64D07UdunLr7o2h22dvbo5d8XTs6u2B+8G0DOtbcT3fJce6PHjENCfBz+e0Nb0xSMHfQmw4cPx4MHD5Ceno5z587B1zd3xsaJEycQFBQkvL5//z4UCkWBberUqQAAfX19HDp0CLGxscjIyMD9+/exYsWKAiuSlzZ2rgH06dMHFy9exN69e3H27FkoFAq0bdsWmZmZQprU1FTMnTsXGzZswKlTp/Dw4UN89913wvtz5szBpk2bsHbtWvzzzz9ISkrC7t271VCagmJjnkIui0d177rCPgPDCnBx90JE2I1Cj3mZmYm7d26junfu/QtisRjVvesgIuymUtozJ45gQM92GDP0a2wOWob0tLSyKUgpiYmOgkyWgBrePsI+Q8MKcHP3RHho4QE4MzMTkXduKx0jFotR09tHCNqREbfx8uVLpTRVbO1QqVJlhIfeLHBOTWBtoQdzUwku5OkAp6S+wq3bSajmYVToMVpaImhriZCRkaW0Pz0jCzW8jMs0v2UtJjoKclkCauZrG67uXkX+55zdNsILtI0aedpGYVJSk2FgYAAtrfJxd45JfW/EHVN+FuWzI2cgre8NABDp6MC4dlXEHf03N4FCgbhj/8Kkfi0V5rR4cuNobkzMiaO33xBH790JV4q9OXE0/zFnThzBwJ5t8d3Q/+GPoKWMox9QHAUYO0qiPMeOnDZf07u2sC+7zdcu8m8cHnYLNWv5KO2r5VNHSJ9z7eU959uuPU3C2EHlXfmIzCUQERGBvXv34p9//kGDBg0AAJs2bYKtrS12796Nbt26Aci+sJctWwZnZ2cA2b+sTJ8+XTjPokWLEBgYiM6dOwMAfv/9dxw4cOCtn5+eno70dOUpY6U9VUEuSwAAGJtIlfYbm0ghlycUekxSUiKysl7B2MQ03zGmePr4gfD6k8YtYF7JEqZm5nhwLxKbg5bi6ZOH+G7CT6VahtKUUx8m0oL1IZMVXh/PkxKRlZVV6DGPHz0EkD0DQltbBxUqKN8HZyKVQibTzNFbU2n2NG6ZPFNpv0yeIbyX34sXr3A9NBF9etjj/uNUyOQZaP5ZZVR1N8KTN9yn/SEQrpV892eZvEvbMCl4zJPXbSO/pEQ5tv2xAS1aty+FXGsGiYU50mPilPalx8RBx7gixHoS6EiNIdbWRnpsfL408TB0d1JlVoslN44WjIlyeXxhhyApSV5kHH3yOLdtfNK4BSpVsoTUzBwP790R4uiYCbNKuRSlh3FUGWNH8ZXn2JFURJs3MZHi8aNHhR4jlyXAxKRg+px2lHMdFHZOTb5GcjB2qMF7LCxGJffRd65DQ0Ohra2tNO3AzMwM7u7uCA0NFfYZGBgIHWsAsLKyQmxsLAAgMTERMTExqFevnvC+lpYWfHx8kJWlPLqX36xZszBtmvJ9SVOmTEGnXsW/3+708cNYufgX4fX4KWV3b1bz1h2Ff9s5OENqaoYZE0YhOuoJLK1syuxz38fJ439j6aJ5wuuJ0zT3C2tZa9GoMr4f5ia8Hju9eIvBzJgXhsBR7tizzg8vXylwO/I5/j4VC3cXzVxgpygnjx/B8t9/FV5PmDq7zD8zNTUFP04NhK2dPbr36lPmn0fFc+b4IaU4Om7KL29IXTL546iJqTlmThiJ6KjHsLTSjAWKGEeVMXYQvRvGDvrYfPSd63elo6Oj9FokEkGhUJT4vIGBgQgICFDaJ5FIEPowqdjnrOPbEK55VqLNzMxeICJRLoPUNPc+2kS5DA6OLoWew8jIGGKxFhLzjWwnyhNgIjUr8rNzVsCNfvpYYzrX9XwbKK0mmVMfcpkMpqa5ZUmUy+DoVHh9VDQyhlgshjzfr5/ZdZo96iCVSvHyZSaSk5OVfjmVy2SQ5vu1VV3OnI/HrdsXhde6Otm/ZkpNdBAvy11IRGqiizt3k4s8z9PoNIwIvAo9iRiGBtqIl2Vg2lhPPI3W7Kms+dXz/SRf28gewU+UJSi1Dfm7tI1814pcLiuwQumL1FTMmDQW+vr6GDdxBrS1y08ITo+Jg8RC+T59iYU5MhOfIystHRlxMmS9fAlJZbN8acyQHq08aqUJfHwbwsW9qvA6N44m5IujCbB3dC30HEZGJm+Io0UvxJQTR2OePtGYzjXjqDLGjtJT3mJHXkZFtHl5njafn4nUtMBiZ3K5DFJp7jUCFLz2stuaMzQNY4f6KfB+C4tRyXz08wQ8PT3x8uVLnDt3TtgXHx+P8PBweHl5veHIXMbGxrCwsMCFCxeEfa9evcLly5ffeqxEIoGRkZHSVtJp4foGBrC0riJsVewcYSI1w/WQ3E5VamoK7oTfgqtHtULPoa2jAycXN1y/eknYl5WVhRtXL8HVo2qhxwDA/bvZC8FJTYvugKuavoEBrKxthM3WzgFSqSmuXc39+6SmpuB2eCjcPQv/m+vo6MDZxU3pmKysLFwLuQx3j+xjnF3doK2tjWshuWmePH6IZ89i4e5ZdJ2p0osXr/AkKk3Y7j1MRVxCOurUzP2Px0BfC15uRrgR9vYfeNLSsxAvy0BFQ23Uq2WKM+cKnx6rqbLbRhVhs7VzgEkhbSMi/Jbwd84vu224K/3ds9vGJaVjUlNTMG3Sd9DW0Ubg5J+gq1t2K1Wqg/y/EJg1ra+0z7xZA8j+CwEAKDIzkXj5Jsyb5nlepUgEsyZ+kP+n/BgqTaBvYFhoHL0RkhsTc+Ko2xviqKOLO25czY29OXG0qGMA4MHrOGrCOApA8+IowNhRmspb7Mgrt83n5jP7b3ylyHbh7uGl1CYAIORKbpuwsLR672tPnRg76GNTfn76LCZXV1d07NgRAwcOxPLly1GxYkWMHz8eNjY26Nix49tP8NqIESMwa9YsuLi4wMPDA4sWLYJMJoPoPZehLwsikQhtO3bDrj/XwcrGFpUtrPDnxlWQmpqhrt+nQroZP4xCXb/P0Lp99uqb7Tr1wJL5P8LZ1QPObp44sGcr0tNeoHHzdgCA6Kgn+OfEEdSqWx8VKhrj4f1IrF/5GzyrecO+iBFxTSASidC+Uxds27IR1tY2qGxhhc0b1sLUzBy+frmP/pgUOAb1GzREu/bZ99F37NwNC+fNhourO1zdPBC8ZwfS0tPQrEVrANkLcjRv2QZrVy5BxYoVoW9giJXLfoO7p1eR/4lqgm17n6B3dzs8evoCUTFpGPA/B8QnpOP0f7kjAgtm1sCps3HYuf8pAKBeLSlEIuDhkxewsdLHsL5OePg4Ffv/jhaOqVhBGxaVJDA3zf4iaGdjAABIkGUgId893ppCJBLh845dsX3LBlhZV4GFpRX+2LAapqbmqJenbUz5IQC+fg3Rtv0XAID2nbth0bxZr9uGJ4L3bEd6WhqatmgD4PWX44nfISM9HaO/m4DU1BSkpmY/89vI2ARaWlqqL+xbaBkawNDFTnht4FgFRjU9kJGQiLRHUXCfGQA9Gwtc7TsOAPBgxRbYD+0Fj1nf41HQDpg3qQ+rbm1wocMg4Rz3FqxFzTVzIL90A4kXrsFhZG9oG+rj0bqdKi/f+xKJRGjT8Uvs+nMdLG2qoLKFNbZuXAmpqTnqKMXRka/jaFcAQLtO3bF0/o9wcvWAi5vX6ziahkZCHH38Oo76vY6jdxhHP8A4ytiRi7FDWcfOXbFw3hy4uLoptfnmLbKfszt/7myYmZnDv+8AAED7jl9gwrhvsXvnVtSpWx+nTx5HZMRtDBuRPcsx+9r7Alu3bMpuaxaWwrVXP09b01SMHaqn4D3XKvXRd64BYO3atRg1ahQ+//xzZGRk4LPPPsOBAwcKTAV/k3HjxiE6Ohr+/v7Q0tLCN998g1atWmnMf3wduvRCeloaViz6GakpyXD3qo7A6b8q/QIeE/0Ez5PkwusGnzVDUqIcWzeuglyWAAcnFwRO/1WYrqatrY3rVy/iwN7sL4tm5pVRr0FjfNGjt6qL9946d+2BtLQ0LFk0DynJyfCsWh2Tp8+Grm7uIl7RUU+RlJgovG7YqAkSk+T4Y8NayGTZ06+mTJ+jNH2v3zfDIBKJMefHqcjMzEQtnzoYNHS0Kov23jbteAQ9PS2MHe6GCobauH4rEWOmXEdGZu5tDzaW+jAxyr0eKhhqY5C/IyqZS5D0PBMn/43Dig338OpV7jENfc0wYbSH8Hr6uOz/3NZsvo81f+QuiqdpOnf9Cv9n777Dmrr6OIB/E8AwFAhDtuzpAjdqrbuOWrXOarVa6wRHtVWpdVtR66au2irO+lo3zuKsWlsnTkDFrQyRBARkmbx/oAkRUDGQRPx+nieP5Obcm3OO5/6Sk3PuudlZWVgeNhcZGenw9auOidPnqJwrCfEPkZZWoG00aY60VCn+WL8aUkkKXN08MHHaHEXbuHXzOm7E5q/hMOyb3irvt3zVH6hsY6eBkpWMWe1qCDy0TvHcb+4PAID7a7fh0oAQiOysYeSkzPezOw9w5rPB8JsXApfhfZH1IAGXB/+I5EjlrVXi/9yHCtYW8Jo8AiJba6RdjMbpT79BTtL7MeMhP44+w0pFHK2B8UXGUWXbaNikZf4iVC/iqLObJ8arxFEDXLl4FvsKxNH6DZuic89+mi5eiTGOqmLsyMfYoeqjj5shLS0VG9eFF2jzsxT/x8mPkyAUKgdifP2qYszYCVi/dhXWha+CvYMDQiZOg7OLqyLN50Wce5Onhaqce7qMsYPKM4G8NC4cpkJkMhl8fX3RvXt3TJ8+vcT7R914XAa5ev/4e1ojOu6htrOhM3zdHdC4wzFtZ0NnnIj4GFdvxr854Qegqocd9hh4azsbOqN9biwu3NDt6zE1JcDTinG0AF93B8aNAhg7lNrnxiIm7oG2s6EzfNwdGTsK8HXXjbWESkp64bDW3ts8oLnW3ltbOHJdSu7evYu//voLH3/8MbKzs/HLL7/g9u3b6NWrl7azRkREREREHyJOC9co1nYpEQqFCA8PR926ddGoUSNcvnwZBw8ehK+v75t3JiIiIiIiovcaR65LiZOTE06ePKntbBAREREREQEA5DqwuPKHhCPXRERERERERGpi55qIiIiIiIhITZwWTkREREREVA7xPteaxdomIiIiIiIiUhNHromIiIiIiMojLmimURy5JiIiIiIiIlITR66JiIiIiIjKIV5zrVmsbSIiIiIiIiI1sXNNREREREREpCZOCyciIiIiIiqH5OCCZprEkWsiIiIiIiIiNXHkmoiIiIiIqBzigmaaxdomIiIiIiIiUhM710RERERERERq4rRwIiIiIiKi8kjABc00iSPXRERERERERGriyDUREREREVE5JOdYqkaxtomIiIiIiIjUxM41ERERERERkZoEcrlcru1MEBERERERUelKjD6ntfe28a2ttffWFl5zraOu3Xyk7SzoBD8Pe8TEPdB2NnSGj7sj7t2I1nY2dEYVT18cvfJM29nQCU2rGeHCjWRtZ0NnBHhaYY+Bt7azoRPa58YiOu6htrOhM3zdHRg3CmDsUArwtOJ3jgJ83B1xPe6etrOhM7zcq2g7C/QeYOeaiIiIiIioHJILeBWwJrG2iYiIiIiIiNTEkWsiIiIiIqJySA6BtrPwQeHINREREREREZGa2LkmIiIiIiIiUhOnhRMREREREZVDXNBMs1jbRERERERERGriyDUREREREVE5JBdwQTNN4sg1ERERERERkZrYuSYiIiIiIiJSE6eFExERERERlUO8z7VmceSaiIiIiIiISE0cuSYiIiIiIiqHeCsuzWJtExEREREREamJI9dERERERETlEK+51iyOXBMRERERERGpiZ1rIiIiIiIiIjVxWjgREREREVE5xAXNNIu1TURERERERKQmjlwTERERERGVQ1zQTLN0fuT6zp07EAgEiIqK0nZWiIiIiIiIiIqk8yPXTk5OiI+Ph5WVFQDg6NGjaNasGSQSCczNzbWbufeIXC7HH+tX4+CBPcjISIePbzUMDvoW9g6Or91v7+7t2LH1f5BKUuDi6o5vhoyAl7ev4vW/9kXg72OHcOvmDTx7lon1/4uAScWKZV0cte2J2IEdWzdD8qJcg4YOh5e3T7HpTx4/hg3rViMpMQH29o7o+/VA1KlbX/H6qZPHsX9vBOJuXsfTp0+xIGwF3Nw9NFEUte3cvRd/btuOFIkU7q4uCBo8ED7eXsWmP3biJNas34iExCQ42Nvhm359Ub9uHcXrz549w2/h6/DPv/8h7elT2NpURqcOn6JDuzaaKI7a5HI5IjYtw/GD2/As8yncvf3Ra9APsLF3Lnaf61fP4a+da3DvVjRSJY8xdOx8+NdvXihd/INb2LZuEa5fOwfZ8zzYObphyPfzYGFtV5ZFUotcLsefG37D4QMRyMh4Cm/fGhgw7DvYOTi9dr8Du7ciYttGpEpSUMXVA/0HfwsPbz/F61PHByP6ygWVfVq26YhvgseWSTnUZdG4DtzGDIBZrWowtK+Ms12GIXHXodfv06Qe/OaOR0U/T2Tdj8fN0GV4sHa7Shrnob3gNnoARLbWSLsUg6ujpiP1zOWyLEqpyf9cCUfk/hefK37VMCRo1Js/VyJ2YHuBz5WBQ4erfK7k5ORg9cplOPH3EeTm5sC/Vl0MCRoJc7FFWRdJLWUVO8LDJuLU0QiVbX7+DTFy4tIyKUdpYNxQVdrfOeRyOTauD0fk/r2Kc29o0Mg3nnu6YE/ETmzb+ickkhS4urpj8NCg19bFiePHsH7dmhd14YB+X3+jqIu8vDysX7saZ8+cRkJCAkxMjFHTvxa+6j8AlpZWmioSkQqdH7nW09ODra0t9PV1/ncAnbZ9yybsidiGwUHfYvb8pRAZGmLaxLHIyckpdp8Tfx/G6pXL0KPXV5i3+Fe4uLpj2sSxkEolijTZ2dkIqFUPXbr31kQxSsXxY0ewauVy9OjVF/PDlsPVzR1TJo5TKVdB0deuYu7sGWjZui0WhK1A/cBGCJ0+CXfv3FakycrKgm/Vaujbf6CmilEqjv59Ait+W4Uvv+iJZYvmw83VBSGTpkIilRaZ/mp0DGbOmYc2rVpi2eL5aNSgPqb8NAu379xVpFn+2yqcPX8e48eMwu/LwvB5xw74Zfmv+Oe/0xoqlXoO7AjH4b0b0XvwBIwPXQeRoREWTx+G3JzsYvfJyX4GRxcvfDEwpNg0jxPu4+cJ/WHr4IIxU3/DpPl/on23QdCvICqLYpSaXVs3YH/EFnwT9D1mzFsJkaEhQieNRs5r6uOfvw9i3W9h6PrF1whdtArOrh4InTQaqa+cY80/+QzL1+1SPHp9HVTWxXlneibGSLsUiysjpr5VeiMXR9TdtQJPjv6HE3U64nbYGlRfMQNWrRor0th1awvfn0NwY8YSnKjXGU8vxaD+nt9RwVq3O5Evbd+yCbt3bcOQ4G8xZ8ESGBoaYurEca//XDl2BKtWLkPPXn0xP2wFXNzcMfWV+Lvq1yU4c/oUvg+ZhBmzF0KS8gSzZkzWRJHUUlaxAwCqBjTCnN8OKh7ffDurtLNfqhg3lMriO8e2LZuwZ9d2DA0ehZ8X/AJDQ0NMmTj+teeeLjh+7Ch+W7kCX/T6EgvDlsHVzQ2TJoa8ti5+nj0TrVu3waKwZWgQ2Ag/TZ+iqIvs7GzE3byJHl98iYVhSxHy42Q8fPAAM6ZO0mSxdJ5cINTa40OkM6WWyWSYM2cOPDw8IBKJUKVKFfz0008q08Lv3LmDZs2aAQDEYjEEAgH69euHtWvXwtLSEtnZqkG7U6dO6NOnzxvfe8qUKfD398eKFSvg5OQEY2NjdO/eHampqSr5mzZtGhwdHSESieDv74/9+/crXn+Zz02bNqFhw4YwNDREtWrVcOzYsVKqoXcnl8uxe+cWdOvRB/UDG8PF1R0jx4QgJSUZ/506Uex+u7b/iVZt2qNFq7ZwquKCIcGjITI0xKG/9inSdOjUFV2694K3j1+xx9E1O7dvQes27dCydRtUqeKCocGjIBKJcPCv/UWmj9i5DbVq18XnXXvAqYozevftDzd3T+yJ2KFI06xFK/Ts1Rc1A2prqBSlY+uOnWj7SWu0adUCzlWcMDJoKEQiEQ5EFj0it31XBOrWroXuXTrD2ckJ/fr0hoe7G3bu3qtIcy06Fq2aN0PNGtVha2OD9m0+gburC2Kv39BUsd6ZXC7Hod0b0K7rQPjXawZHFy/0Hz4dUsljRJ0+Uux+1Wo1RqdewQgoYrT6pR0bf0G1Wo3Rpe+3qOLmA2tbJ9Ss2xSmZrrbkZLL5di3czM69/gKdRp8BGdXDwSNnghJSjLOnjpe7H57dvwPzT/pgKat2sOxiiu+CfoeFUQiHI3crZJOJBLBXGypeBgbm5R1kd7Z4wN/4/rkhUjcefCt0jsP6olntx8geuxspMfcwt2lG5Cw9QBcR/ZTpHEd1R/3f9+MB2u2IT06DpeHTcbzzCw49etSRqUoPXK5HBE7tqJ7zy9RP7DRi8+V8Uh58vrPlZ3b/0TrNu3QonX+58rQ4G8hEokUnysZGek4+Nc+fD1wKGr414KHpxeGfzsWMdFXERtzTVPFK7GyjB0AoK9vADOxleJhUtG0tItQahg3VJX2d478c28buhU490aNGYeUJ8n49zXnni7YsX0rPmnT9kVdOGNY8EiIRCJE/nWgyPS7dm5/URfd4VTFGV/27Qd3dw/sjtgJADAxMcH0mbPxUZOP4ejoBB8fPwweFoybN28gKSlJk0UjUtCZznVISAhmzZqFiRMn4tq1a9i4cSNsbGxU0jg5OWHr1q0AgNjYWMTHx2PRokXo1q0bnj9/jl27dinSJiUlYc+ePfj666/f6v1v3ryJzZs3IyIiAvv378eFCxcwbNgwxeuLFi3CvHnzMHfuXFy6dAmffPIJPvvsM9y4odph+P777zFmzBhcuHABgYGB6NChA548efKu1VIqEhPiIZGkoKa/suNnYlIRnt6+iI25WuQ+ubm5iLt5XWUfoVCIGv61it3nfaAsVy3FNqFQiJr+tYr94hYbc61Qpzmgdh2d/qL3NnJzc3H9Zhxq+ddQbBMKhajlXxPXYmKL3OdaTKxKegCoUysA0QXS+/l649TpM0hOfgK5XI6oS5fx4NEj1A7wL5NylKbkxIdIkybDt4Zy+p2RSSW4elbHrdiL73xcmUyGy+eOw8beGYumDcV3/ZshdPyXiPrvcGlku8wkJT6CVPIE1f2V0/6NTSrCw9sP12OuFLlPXm4ubt+MRXX/uoptQqEQ1f3rFNrnxNFIDOzVDt8N+xJ/hC9DdlZW2RREC8wb+CP58CmVbY8jT0DcwB8AIDAwgFmtqkg+9I8ygVyO5MP/wLxBgAZz+m5efq7UeOVzxcvbF7HRRcfGl/G3xiufKzX9ayviadyN68jLy1NJ4+hUBdbWlREbrbufPWUVO166fvUsvuvfDJOGd8SGFT8h/alU7WOWFcYNpbL4zqH8Tqc85pvOPV2Qm5uLm0XUhf9r6iIm5hr8A2qpbAuoXQcxMdHFvk9mRgYEAgEqVtTtH100SQ6B1h4fIp2Ya/306VMsWrQIv/zyC7766isAgLu7Oxo3bow7d+4o0unp6cHCIn+Up3LlyirXXPfq1QurV69Gt27dAADr169HlSpV0LRp07fKQ1ZWFtauXQsHBwcAQFhYGNq3b4958+bB1tYWc+fOxbhx49CzZ08AwOzZs3HkyBEsXLgQS5YsURwnODgYXbrkjzosW7YM+/fvx++//46xY4u+Hig7O7vQiLtIVLrTRKWSFACAmVisst3cXKx47VVP01Ihk8lgZl54n4f375Vq/jQp7UW5zIuoiwf37xe5j1SSAvMi6kFSTN29L1LTnkImk0H8ytoFYnMz3H/woMh9JBJpobUOxOZmSCkwpStoyCAsDFuKL/oNgJ6eHoQCAb4dHoQa1aqWdhFKXZo0GQBgam6pst3UzAKp0nf/kexpagqyszKxf/sqdPwiCJ/3GYmrF/7B8p/HYPTUlfCqWufNB9ECRewwVx1dNzO3gLSY+khLk0Ime17kPg8fKGNHo6atYG1tC7GlFe7dvomN4cvw6OE9jJkQWsql0A6RjRWyE5NVtmUnJsPArBKEhiIYiM0g1NdHdtKTV9I8gYm3myaz+k5eto1XY6nZa2Lj02Lir5m5GA9efK5IJBLo6xug4itrd5iLxZBIip46qgvKKnYA+VPCAxq0gFVlBzxOuI8dG39B2IwgjJu5FkI9PbWOXRYYN5TK4jvHy/OgqGPq9Dnyoi7EJaqLwusrve67a05ODsJX/4YmHzfT+RkNVH7pROc6Ojoa2dnZaNGixTsfY+DAgahbty4ePnwIBwcHhIeHo1+/fhAI3u5XkypVqig61gAQGBgImUyG2NhYGBsb49GjR2jUqJHKPo0aNcLFi6q/SAcGBir+1tfXR506dRAdXfwvbKGhoZg6VfUavsmTJ6P7l4PeKt9FOXYkEst/ma94PmGKbn7oUPm0M2IPomNjMW3iD7CpXBmXrlxF2PIVsLS0QC3/mtrOnor//t6DDStmKJ4H/xBWJu8jl8sAADXrNkXLDvmXqji5+iAu9iL+PrBFZzrXJ44cwMolPyuej5v882tSq6dlm46Kv6u4uMPcwgozJoxAQvwD2Nrp/qI8H5pjRw5iWZjyc+XHqR/254qmYgcA1G2sXAzSwdkTDs5e+DHoU8RePasyUq4tjBukC/Ly8jA7dDrkcjmGBY/QdnZ0ivwt+0JUOnSic21kZKT2MQICAlCzZk2sXbsWrVu3xtWrV7Fnz55SyF3ZCgkJwejRo1W2iUQixN1/91+669VvBK8Cq2vm5uYvcJEqkcDCQvmrulQqgatb0StaVzI1g1AoLLSQiFQq0fkVW1/H9EW5pJLC5RJbFF0uc7FFocU2pFIJxO9xPQCAmWklCIXCQouXSaSphX5ZfkksNoe0iPQWL35lz87Oxqq16zFlwnjFCuJuri6Iu30bf27boXOd65p1m8LVs7ried6LcyVN+gRmYmvF9rTUFDi5FL+C+ptUrCSGUE8fdk7uKtttHV0RF32hmL00r3b9xvDwVs4wUMQOaQrEFsqVV1OlKXB29SzyGKam5hAK9ZAqVR1ZSJWmvDZ2vFwROPHRw3LxJTk7MRkiG9XVakU2VshNfQpZVjZykiWQ5eVBVNnylTSWyE5QHfHWBfXqN1RZ0ftl25C+8rmS+hafK6/G39QC8VcsFiMvLxfp6ekqo9dSiaTYuKQNmoodRbG2dURFUzEeJ9zXic4140bxyuI7x8vz4NVzL/87nepnjC55WRevjq7n10XR57a5WFzoO0dR30PzO9YzkJSUhJ9Cf+aoNWmVTlxz7enpCSMjIxw69PrbmgBAhQoVAADPnz8v9No333yD8PBwrF69Gi1btoST0+tv+VDQvXv38OjRI8Xzf//9F0KhEN7e3jA1NYW9vT1Onjypss/Jkyfh56e6kNe///6r+DsvLw/nzp2Dr68viiMSiWBqaqryUHdauJGxMezsHRQPpyouEIstcOnieUWazMwM3IiNhrdP0VN1DQwM4O7hhUtRyn1kMhkuR50vdp/3gaJcF5UdGplMhktRF4pdlM3bx0+lHgAg6sK592oRt6IYGBjAy8MdFy5eUmyTyWS4cPES/Hy8i9zHz8cbF6IuqWw7fyEKvi/S5z1/jry8vEIzRvSEQshejN7qEkMjE1S2q6J42Dm5w9TcCjGXlSubP8tMx+0bl+Hm/e4/DOgbGMDFww+JD++obE96dFenbsNlZGwCW3tHxcOxiivMxZa4EnVOkSYzMwM3Y6/By6dakcfQNzCAq4c3rlw8q9gmk8lw5eK5YvcBgLu38tevMLewLDbN+0T6bxQsmzdQ2WbVoiEk/0YBAOS5uUg9fxVWzZWznSAQwLJZIKT/6s4PLi+97efK9dhoePsWHRuV8Vf1c+VS1HlFPHX39IK+vr5KzH344B4eP06Ct6/ufPZoKnYURfIkERlPpTAT68athhg3ilcW3zlsbO1KfO7pAgMDA3gUURcXX1MXPj5+uBilGg+jLpyHj4/ye/XLjvWjRw8xY+ZsmJrq7mJ/9GHQiZFrQ0NDjBs3DmPHjkWFChXQqFEjPH78GFevXi00VdzZ2RkCgQC7d+9Gu3btYGRkpPh1u1evXvjuu++wcuVKrF27tsR5+OqrrzB37lykpaVhxIgR6N69O2xtbQHkL1Q2efJkuLu7w9/fH6tXr0ZUVBQ2bNigcpwlS5bA09MTvr6+WLBgASQSyVsvqlZWBAIBPu3YFX9uWgc7ewfY2Nph47pVsLCwQv1A5W1hJv0wGg0CP0K7Dp0BAJ917obF82fB3dMLnl6+2L1zC7KystCilXKKmiQlBVJJCuLjHwIA7t65BSMjY1hVroxKlXQzwHXs3BWL5s+Gh6cXPL18ELFzK7Kys9Cy1ScAgAVzZ8HS0gp9+38DAOjQ8XNMGPctdmzbjDp1G+D4sSOIu3EdQcOVMw6ePk3D46QkpKTkzzh4+CD/+iGx2KLYX6d1QZdOHTFnwSJ4eXrA28sT23dGICsrC5+0zD/vZs9bCCtLSwzolz+VufNnHTBm/AT8uW0H6tetg6N/H8f1m3EYFZy/+J+JsTFqVKuKlavWQFShAipXroxLV64g8vBRDPmmv9bK+bYEAgFafNobe7esRGW7KrCq7ICdfyyBudga/vWaKdLNnzIIAfWao1m7/DUYsp5l4nGC8rrA5KSHuH87BiYVzRSd59Yd+2Hl/LHw9KsF72p1cfXCP7h09m+MmfabZgtZAgKBAG07dsf2/62BrYMjKtvYY/P6lRBbWKFO4EeKdNN/GIG6gU3QpkNXAED7Tj2wbMFPcPP0gYeXH/bu3IzsrCx83LI9ACAh/gFOHo1EQN1AVKxkhnt3bmLtysXwreYPZ1fdvD+8nokxTDyqKJ4buzrCtKYPclJSkXU/Ht4zRsPQwQYX+48DANz9dROch/WGT+j3uB++FVbNGsCuW1uc+Wyw4hi3F65GzVWzIT13BalnLsFlxFfQNzHC/TXbNF6+khIIBOjQqQv+3LQe9vYOqGxjh43rVsPCUvVzZWLIGDRo2BjtX3yudOzcDYvmz4KHp7dK/H35uWJiUhEtW7fF6pVLUalSJRgZm2Dl8sXw9vXT6R80yyp2ZD3LxO7Ny1ErsCVMzS3xOOEBtq1bCGtbJ/j5N9R4Od8G44aq0v7OkX/ufY7NmzbAzt4RNja2inOvQYFzTxd16twFC+bPgYenF7y8vLFz53aVupg/dzYsLa3wVf8BAIDPOnZGyLgx2L7tT9SpWx/Hjx3FzRvXETx8FID8jvWsmdMQd/MmJk2ZDtlzGSQp+bMfKlaqBAMDA62UU9fI5ZwWrkk60bkGgIkTJ0JfXx+TJk3Co0ePYGdnhyFDhhRK5+DggKlTp2L8+PHo378/+vbti/DwcACAmZkZunTpgj179qBTp04len8PDw98/vnnaNeuHVJSUvDpp59i6dKlitdHjBiB1NRUjBkzBklJSfDz88OuXbvg6ak6xWnWrFmYNWsWoqKi4OHhgV27dsHKSvu/Lnfu2hNZWc+wLGweMjLS4etXHROnz1bMBACAhPhHSEtT3n6scZPmSEtNxab14ZBIUuDq5o5J02arTMc5sG8X/rdxjeL5hHEjAQDDR41D8wKdcF3y0cfNkJaWio3rwiGR5E+jmjxtlqJcyY+TIBQqA5GvX1WMGTsB69euwrrwVbB3cEDIxGlwdnFVpDn97z9YvEB5ndnc2fnX4vXs1RdffPmVhkpWck2bNIY0NRVr1v8BiUQCdzdXzJw2GWKxOQAg6fFjCArURVVfH4R8Pxrh6zZg9dr1cLC3x5QJ4+Hq4qxIM2Hcd/h9zTqEzl2Ap+npsKlsjf59euPTtrrZHl71Sad+yMl6hvXLpyMz4yk8fAIwYuJSGBS4H3Vywn2kP1VObbsbdxXzJyvvcf5n+DwAQGDTDug3fDoAIKB+c/Qe9CP2b/sd/1s1Bzb2zhj8/Vx4+Or2ytCfdemN7KxnWBk2B5kZ6fD2q4Hx0+ahQoH6SEx4iKcFYkfDJi2RlirFn+t/g1SSAmc3T4yfNk9xjunrG+DKxbPYtyv/y7OlVWXUb9gUnXv203Tx3ppZ7WoIPLRO8dxv7g8AgPtrt+HSgBCI7Kxh5KSchfDszgOc+Www/OaFwGV4X2Q9SMDlwT8iOVJ5q5z4P/ehgrUFvCaPgMjWGmkXo3H602+Qk6TdO0y8rfzPlSwsDZuPjPR0+FatjknTZhX+XClwW8vGHzdDapoUf6xbXSD+qn6ufD0oCAKBELN/moLc3FwE1K6DwcNGabJo76QsYodQKMTDuzfw79EIZGY+hbnYGr41A9HxiyAYGCjrWdcwbiiVxXeOz4s49yZPC1U593TRRx83RWqaFBvWrYFEIoGbmzumTpupmOr++HGSyncOX7+q+G5sCNavDcfa8NWwd3DAhIlTFHXx5Eky/vs3/64MI4JV+wwzZ81F9Rq6dSkafRgEcrlcru1MlKYWLVqgatWqWLx48VvvM2XKFOzYsQNRUVHv/L537tyBq6srLly4AH9//3c+zkvXbj56c6IPgJ+HPWLiil65+kPk4+6IezeKXyDvQ1PF0xdHrzzTdjZ0QtNqRrhwQ/eu1dWWAE8r7DEo+vKGD0373FhExz3UdjZ0hq+7A+NGAYwdSgGeVvzOUYCPuyOux72/d4gpbV7uVd6cSAfdiLurtff2dHd+c6JyRmdGrtUlkUhw9OhRHD16VGXEmYiIiIiIiKislZvOdUBAACQSCWbPng1vb9XRiqpVq+Lu3aJ/tVmxYoUmskdERERERETlWLnpXN+5c6fY1/bu3Yvc3NwiX7OxsUGlSpUwZcoUtd7fxcUF5WyGPRERERERvcfk4IJmmlRuOtev4+z84c33JyIiIiIiIs35IDrXREREREREHxqOXGuWUNsZICIiIiIiog/bkiVL4OLiAkNDQ9SvXx+nT59+bfo///wTPj4+MDQ0RPXq1bF3716V1+VyOSZNmgQ7OzsYGRmhZcuWuHHjRlkWgZ1rIiIiIiKi8kgOgdYeJfG///0Po0ePxuTJk3H+/HnUrFkTn3zyCZKSkopM/88//+CLL77AgAEDcOHCBXTq1AmdOnXClStXFGnmzJmDxYsXY/ny5fjvv/9gYmKCTz75BFlZWWrV6euwc01ERERERERaM3/+fAwcOBD9+/eHn58fli9fDmNjY6xatarI9IsWLUKbNm3w/fffw9fXF9OnT0etWrXwyy+/AMgftV64cCF+/PFHdOzYETVq1MDatWvx6NEj7Nixo8zKwc41ERERERERlars7GykpaWpPLKzswuly8nJwblz59CyZUvFNqFQiJYtW+LUqVNFHvvUqVMq6QHgk08+UaS/ffs2EhISVNKYmZmhfv36xR6zNLBzTUREREREVA5pc1p4aGgozMzMVB6hoaGF8picnIznz5/DxsZGZbuNjQ0SEhKKLFdCQsJr07/8tyTHLA1cLZyIiIiIiIhKVUhICEaPHq2yTSQSaSk3msHONRERERERUTkkl2vvVlwikeitOtNWVlbQ09NDYmKiyvbExETY2toWuY+tre1r07/8NzExEXZ2dipp/P39S1KMEuG0cCIiIiIiItKKChUqoHbt2jh06JBim0wmw6FDhxAYGFjkPoGBgSrpASAyMlKR3tXVFba2tipp0tLS8N9//xV7zNLAkWsiIiIiIiLSmtGjR+Orr75CnTp1UK9ePSxcuBAZGRno378/AKBv375wcHBQXLM9cuRIfPzxx5g3bx7at2+PTZs24ezZs/j1118BAAKBAKNGjcKMGTPg6ekJV1dXTJw4Efb29ujUqVOZlYOdayIiIiIionKopPeb1pYePXrg8ePHmDRpEhISEuDv74/9+/crFiS7d+8ehELlpOuGDRti48aN+PHHH/HDDz/A09MTO3bsQLVq1RRpxo4di4yMDAwaNAhSqRSNGzfG/v37YWhoWGblYOeaiIiIiIiItCo4OBjBwcFFvnb06NFC27p164Zu3boVezyBQIBp06Zh2rRppZXFN2LnmoiIiIiIqBx6X0auywsuaEZERERERESkJo5cExERERERlUMcudYsjlwTERERERERqYmdayIiIiIiIiI1cVo4ERERERFROSSXc1q4Jgnkcrlc25kgIiIiIiKi0nXpRpLW3ruGZ2Wtvbe2cORaR0XHPdR2FnSCr7sD66IAX3cHxMQ90HY2dIaPuyPr4wUfd0eeKwUwdij5ujtgj4G3trOhM9rnxjJuFMDYocS4oYrfOVT5uDtqOwvvRMYFzTSK11wTERERERERqYmdayIiIiIiIiI1cVo4ERERERFROcT7XGsWR66JiIiIiIiI1MSRayIiIiIionKIt+LSLI5cExEREREREamJI9dERERERETlEK+51iyOXBMRERERERGpiZ1rIiIiIiIiIjVxWjgREREREVE5xAXNNIsj10RERERERERq4sg1ERERERFROcQFzTSLI9dEREREREREamLnmoiIiIiIiEhNnBZORERERERUDnFBM83iyDURERERERGRmjhyTUREREREVA7JtJ2BDwxHromIiIiIiIjUxM41ERERERERkZo4LZyIiIiIiKgc4oJmmqXzI9dHjx6FQCCAVCots/fo168fOnXqVGbHJyIiIiIiovJN50euGzZsiPj4eJiZmal9rDt37sDV1RUXLlyAv7+/YvuiRYsgl8vVPr4u2xuxA9u3/g9SSQpcXN0xcOhweHn7Fpv+5PGj2LhuNZISE2Bn74i+Xw9EnboNFK/L5XL8sT4ckfv3ICMjHT5+1TAkaBTsHRw1UBr1vWv+31SPOTk5WL1yGU78fQS5uTnwr1UXQ4JGwlxsUdZFemd7InZgx9bNkLwo06Chw+Hl7VNs+pPHj2HDi7Zhr2gb9RWvy+VybFwfjsj9exV1OzRo5HvTNlgfqniuKLEu8lk0rgO3MQNgVqsaDO0r42yXYUjcdej1+zSpB7+541HRzxNZ9+NxM3QZHqzdrpLGeWgvuI0eAJGtNdIuxeDqqOlIPXO5LItSahg3VPFcUVVW9XFg3278ffQQbt28gWfPMrF+8y5UrFixrIujFp4rmicHR641SedHritUqABbW1sIBGXXMMzMzGBubl5mx9e2E8eOYNXKZejZqy/mh62Ai5s7pk4cB6lUUmT6mGtXMG/2DLRs3Rbzw35F/cBGmDV9Eu7eua1Is33LJuzetQ1Dgr/FnAVLYGhoiKkTxyEnJ0dTxVLLu+T/bepx1a9LcOb0KXwfMgkzZi+EJOUJZs2YrIkivZPjx45g1crl6NGrL+aHLYermzumvKZtRF+7irkv2saCsBWoH9gIoa+0jW1bNmHPru0YGjwKPy/4BYaGhpgycfx70TZYH4XxXFFiXeTTMzFG2qVYXBkx9a3SG7k4ou6uFXhy9D+cqNMRt8PWoPqKGbBq1ViRxq5bW/j+HIIbM5bgRL3OeHopBvX3/I4K1rrdaQIYN4rCc0VVWdVHdnYWatWui649emmiGGrjuUIfgjLvXLu4uGDhwoUq2/z9/TFlyhQAgEAgwG+//YbOnTvD2NgYnp6e2LVrlyLtq9PCv/76a9SoUQPZ2dkA8n/FDAgIQN++fd+YF1dXVwBAQEAABAIBmjZtCqDwtPCmTZti+PDhGDVqFMRiMWxsbLBy5UpkZGSgf//+qFSpEjw8PLBv3z6V41+5cgVt27ZFxYoVYWNjgz59+iA5ObkEtVU2dm7/E63btEOL1m3hVMUFQ4O/hUgkwqG/9hWZPmLnNtSqXQ+du/aEUxVn9O77NdzcPbE3YgeA/F8JI3ZsRfeeX6J+YCO4uLpj5JjxSHmSjP9OndBgyd7Nu+b/TfWYkZGOg3/tw9cDh6KGfy14eHph+LdjERN9FbEx1zRVvBLZuX0LWrdph5at26BKFRcMDR4FkUiEg3/tLzJ9ftuoi8+79njRNvrDzd0Te1TaxjZ0K1C3o8aMQ8qTZPz7HrQN1ocqnitKrAulxwf+xvXJC5G48+BbpXce1BPPbj9A9NjZSI+5hbtLNyBh6wG4juynSOM6qj/u/74ZD9ZsQ3p0HC4Pm4znmVlw6teljEpRehg3VPFcUVVW9QEAn3Xqii7de8HLx08TRVEbzxXtkMsFWnt8iHRi5Hrq1Kno3r07Ll26hHbt2qF3795ISUkpMu3ixYuRkZGB8ePHAwAmTJgAqVSKX3755Y3vc/r0aQDAwYMHER8fj23bthWbds2aNbCyssLp06cxfPhwDB06FN26dUPDhg1x/vx5tG7dGn369EFmZiYAQCqVonnz5ggICMDZs2exf/9+JCYmonv37iWtjlKVm5uLuJvXUcO/tmKbUChETf/axX4YxcZcQ42AWirbAmrXRWzMVQBAYkI8JJIUlWOamFSEl7cvYqN19wPupXfJ/9vUY9yN68jLy1NJ4+hUBdbWlREbfbWMSvPuXpappr/y/zq/TLVe2zZqBtRW2RZQu44i/cu6LXjM96VtsD4K47mixLp4d+YN/JF8+JTKtseRJyBu4A8AEBgYwKxWVSQf+keZQC5H8uF/YN4gQIM5LTnGjcJ4rqgqq/p43/BcoQ+FTnSu+/Xrhy+++AIeHh6YOXMm0tPTFR3hV1WsWBHr16/HkiVLMGnSJCxcuBDr1q2DqanpG9/H2toaAGBpaQlbW1tYWBQ/3axmzZr48ccf4enpiZCQEBgaGsLKygoDBw6Ep6cnJk2ahCdPnuDSpUsAgF9++QUBAQGYOXMmfHx8EBAQgFWrVuHIkSO4fv16se+TnZ2NtLQ0lcfLUfnS8DQtFTKZDOZiscp2M3MxJMX8gCGVpMDcvIj0EonidQBFH1NS9DF1ybvk/23qUSKRQF/foND1TuZiZd3pkrRiymRewrZhXqDeXpazyGPqYB0UxPoojOeKEuvi3YlsrJCdqDqLKzsxGQZmlSA0FKGClRhCfX1kJz15Jc0TiGytNJnVEmPcKIzniqqyqo/3Dc8V+lDoROe6Ro0air9NTExgamqKpKSkYtMHBgbiu+++w/Tp0zFmzBg0bty42LSlkSc9PT1YWlqievXqim02NjYAoMjnxYsXceTIEVSsWFHx8PHJX6AhLi6u2PcJDQ2FmZmZyiM0NLTUy/MhO3bkIHp+3k7xyHv+XNtZItJJPFeUWBdEb4fniirWB+kaOQRae3yIyny1cKFQWGgl7tzcXJXnBgYGKs8FAgFkMlmxx5TJZDh58iT09PRw8+bN0svsG/JUcNvLBdZe5jM9PR0dOnTA7NmzCx3Lzs6u2PcJCQnB6NGjVbaJRCLcelA612pXMjWDUCiE9JVf8FKlEoiLGbk3F1sUWlwiVSqB+MUvgy9X5ZRKJLCwsFRJ4+rmUSr5Lk316jdUWV0zNzd/kYuS5P9t6lEsFiMvLxfp6ekqv6xLJcq60yWmxZRJWsK2IZVKIBYr6wAoXLdSqQSubu6lmf1Sx/rguVIQ66L0ZCcmQ2SjOgItsrFCbupTyLKykZMsgSwvD6LKlq+ksUR2gvbXLXkdxg2eK6/SVH28b3iu0IeizEeura2tER8fr3ielpaG27dvv2aPN/v5558RExODY8eOYf/+/Vi9evVb7VehQgUAwPMy+BWxVq1auHr1KlxcXODh4aHyMDExKXY/kUgEU1NTlYdIJCq1fBkYGMDdwwuXLp5XbJPJZLgUdR7exSyA4e3jh0tR51W2RV04C2+fqgAAG1s7iMUWKsfMzMzA9dhoePvq3qIaRsbGsLN3UDycqriUOP9vU4/unl7Q19dXqbuHD+7h8eMkePtWLaPSvTtlmS4otuWX6UIJ28Y5Rfr3rW0UxPrguVIQ66L0SP+NgmXzBirbrFo0hOTfKACAPDcXqeevwqp5oDKBQADLZoGQ/nsBuoxxg+fKqzRVH+8bnivaI5Nr7/EhKvPOdfPmzbFu3TocP34cly9fxldffQU9Pb13Pt6FCxcwadIk/Pbbb2jUqBHmz5+PkSNH4tatW2/ct3LlyjAyMlIsNpaamvrO+XhVUFAQUlJS8MUXX+DMmTOIi4vDgQMH0L9//zLpzJdEx87dELl/Dw4fPID79+5i+ZKFyMrOQotWbQAAC+eGYt3qlYr0HTp+jgvnzmDHts14cP8e/lgfjrgb19GuQycA+aP2HTp1wZ+b1uP0vydx5/YtLJw7CxaWVqgfWPpT9Evb2+Z/YsgY7IlQ3of1TfVoYlIRLVu3xeqVS3H54gXcvHEdixfMgbevn85+GHbs3BV/FVGmlq0+AQAsmDsLa1f/pkjfoePnOK/SNtYg7sZ1tFdpG59j86YN+O/ff1TqtsF70DZYH6p4riixLpT0TIxhWtMHpjXzL30ydnWEaU0fGDrlz9LynjEaNVcrZ3Hd/XUTjF2d4BP6PUy83eA8pBfsurXF7UXhijS3F66G04DucOjTCRV93FBtyRTomxjh/priFx7VFYwbqniuqCqr+gAASUoKbsXdRMKjhwCAu3du4VbcTTx9mqa5ApYAzxX6EJT5tPCQkBDcvn0bn376KczMzDB9+vR3HrnOysrCl19+iX79+qFDhw4AgEGDBmHPnj3o06cP/v7779d23PX19bF48WJMmzYNkyZNwkcffYSjR4++U15eZW9vj5MnT2LcuHFo3bo1srOz4ezsjDZt2kAo1O6l7Y0/bobUNCn+WLcaEkn+VJnJ02Yrpnc/fpwEQYE8+vhVw+ixE7Bh7SqsD/8d9g4OGD9xGpxdXBVpOnftiaysLCwNm4+M9HT4Vq2OSdNmKWYH6Lq3yX9C/COkFfgB5k31CABfDwqCQCDE7J+mIDc3FwG162DwsFGaLFqJfPRxM6SlpWLjuvACZZqlKFPy4yQIhcprZnz9qmLM2AlYv3YV1oWvgr2DA0JeaRufF1G3k6eFvhdtg/VRGM8VJdZFPrPa1RB4aJ3iud/cHwAA99duw6UBIRDZWcPISXk51LM7D3Dms8HwmxcCl+F9kfUgAZcH/4jkSOWtcuL/3IcK1hbwmjwCIltrpF2MxulPv0HOK4uc6SLGjcJ4rqgqq/rYv3cX/rdxreL5hLGjAADDvx2r0gnXFTxX6EMgkL96QTTphOi4h9rOgk7wdXdgXRTg6+6AmLgH2s6GzvBxd2R9vODj7shzpQDGDiVfdwfsMfDWdjZ0RvvcWMaNAhg7lBg3VPE7hyofd0dtZ+GdHLuaqbX3/riqsdbeW1t0YrVwIiIiIiIiovdZuepcz5w5U+VWWAUfbdu21Xb2iIiIiIiINEYuF2jt8SEq82uuNWnIkCHo3r17ka8ZGRlpODdERERERET0oShXnWsLCwtYvKf3/yMiIiIiIipNXF1Ls8rVtHAiIiIiIiIibWDnmoiIiIiIiEhN5WpaOBEREREREeWT4cNcWExbOHJNREREREREpCaOXBMREREREZVDH+otsbSFI9dEREREREREamLnmoiIiIiIiEhNnBZORERERERUDvE+15rFkWsiIiIiIiIiNXHkmoiIiIiIqByS81ZcGsWRayIiIiIiIiI1ceSaiIiIiIioHJLxmmuN4sg1ERERERERkZrYuSYiIiIiIiJSE6eFExERERERlUNyORc00ySOXBMRERERERGpiSPXRERERERE5ZCcC5ppFEeuiYiIiIiIiNQkkMv5ewYREREREVF5s/d8rtbeu10tA629t7ZwWriOunAjWdtZ0AkBnlaIjnuo7WzoDF93B/wT/VTb2dAZDX0rYY+Bt7azoRPa58bi6s14bWdDZ1T1sMPRK8+0nQ2d0LSaEWLiHmg7GzrDx92RcaMAxg6lqh52PFcK8HF3xLWbj7SdDZ3h52Gv7Sy8Exm4oJkmcVo4ERERERERkZo4ck1ERERERFQO8QJgzeLINREREREREZGaOHJNRERERERUDsnlvOZakzhyTURERERERKQmdq6JiIiIiIiI1MTONRERERERUTkkk2vvUVZSUlLQu3dvmJqawtzcHAMGDEB6evpr0w8fPhze3t4wMjJClSpVMGLECKSmpqqkEwgEhR6bNm0qUd54zTURERERERG9F3r37o34+HhERkYiNzcX/fv3x6BBg7Bx48Yi0z969AiPHj3C3Llz4efnh7t372LIkCF49OgRtmzZopJ29erVaNOmjeK5ubl5ifLGzjUREREREVE5VN5uxRUdHY39+/fjzJkzqFOnDgAgLCwM7dq1w9y5c2Fvb19on2rVqmHr1q2K5+7u7vjpp5/w5ZdfIi8vD/r6yi6xubk5bG1t3zl/nBZOREREREREpSo7OxtpaWkqj+zsbLWOeerUKZibmys61gDQsmVLCIVC/Pfff299nNTUVJiamqp0rAEgKCgIVlZWqFevHlatWgV5CX+dYOeaiIiIiIiISlVoaCjMzMxUHqGhoWodMyEhAZUrV1bZpq+vDwsLCyQkJLzVMZKTkzF9+nQMGjRIZfu0adOwefNmREZGokuXLhg2bBjCwsJKlD9OCyciIiIiIiqH5NDefa5DQkIwevRolW0ikajItOPHj8fs2bNfe7zo6Gi185SWlob27dvDz88PU6ZMUXlt4sSJir8DAgKQkZGBn3/+GSNGjHjr47NzTURERERERKVKJBIV25l+1ZgxY9CvX7/XpnFzc4OtrS2SkpJUtufl5SElJeWN10o/ffoUbdq0QaVKlbB9+3YYGBi8Nn39+vUxffp0ZGdnv3U52LkmIiIiIiIqh8ryllilydraGtbW1m9MFxgYCKlUinPnzqF27doAgMOHD0Mmk6F+/frF7peWloZPPvkEIpEIu3btgqGh4RvfKyoqCmKx+K071gA710RERERERPQe8PX1RZs2bTBw4EAsX74cubm5CA4ORs+ePRUrhT98+BAtWrTA2rVrUa9ePaSlpaF169bIzMzE+vXrFYurAfmdej09PURERCAxMRENGjSAoaEhIiMjMXPmTHz33Xclyh8710REREREROVQebsVFwBs2LABwcHBaNGiBYRCIbp06YLFixcrXs/NzUVsbCwyMzMBAOfPn1esJO7h4aFyrNu3b8PFxQUGBgZYsmQJvv32W8jlcnh4eGD+/PkYOHBgifLGzjURERERERG9FywsLLBx48ZiX3dxcVG5hVbTpk3feEutNm3aoE2bNmrnjbfiIiIiIiIiIlITR66JiIiIiIjKofI4LVyXceSaiIiIiIiISE0fROe6X79+6NSp0zvv7+LigoULF5ZafoiIiIiIiMqaTC7Q2uNDxGnhZSA8PByjRo2CVCrVdlYU5HI5/tzwGw4fiEBGxlN4+9bAgGHfwc7B6bX7Hdi9FRHbNiJVkoIqrh7oP/hbeHj7qaS5Hn0F/1u3Ajdjr0EoFMLZzRM/TFuACiW4J5ymyeVy/LE+HJH79yAjIx0+ftUwJGgU7B0cX7vf3ogd2L71f5BKUuDi6o6BQ4fDy9tX8XpOTg5Wr1yGE38fQW5uDvxr1cWQoJEwF1uUdZHemVwux44/VuBY5HZkZqTD06cm+gwZD1v7KsXuE3v1PPZtX4e7cdGQSpIxfPxc1GrQVCXN2VOHcXT/Vty5FYOMp6mYOn8Dqrh5l3Fp1Oc8tBfcRg+AyNYaaZdicHXUdKSeuVxkWoG+PtzHDYZjn04wdLBBxvXbiAmZi8d/HVek0atoAu+pI2HTsSVElS2RFnUNV0fPROrZoo+pa+RyOTatX43IA7uRmZEOH99qGBQ0+o3nyr7d27Fj66YX54oHvhkyAp4vzpWnT9Owaf1qXLxwFsmPE2FqZo56DRrjiz5fw8SkoiaK9U7kcjkiNi3D8YPb8CzzKdy9/dFr0A+wsXcudp/rV8/hr51rcO9WNFIljzF07Hz412+ukiY8bCJOHY1Q2ebn3xAjJy4tk3KUlj0RO7Bj62ZIXsTDQUOHw8vbp9j0J48fw4Z1q5GUmAB7e0f0/Xog6tRV3pNULpdj4/pwRO7fq4jLQ4NGvrGtaZtF4zpwGzMAZrWqwdC+Ms52GYbEXYdev0+TevCbOx4V/TyRdT8eN0OX4cHa7SppShKLdA3jhiqeK6ryv4OtxsEDL76D+VbD4KBv3/wdbPd27CjwHeybISNUvoP9tS8Cfx87hFs3b+DZs0ys/18ETCrqdtug8ue9H7nOycnRdhbeC7u2bsD+iC34Juh7zJi3EiJDQ4ROGo2cnOxi9/nn74NY91sYun7xNUIXrYKzqwdCJ41GqlSiSHM9+gpCJ49GjYB6mDF/JX5a8Bs++bQLBELd/rVq+5ZN2L1rG4YEf4s5C5bA0NAQUyeOe217OnHsCFatXIaevfpiftgKuLi5Y+rEcZAWqI9Vvy7BmdOn8H3IJMyYvRCSlCeYNWOyJor0zvZuX4PI3ZvQd0gIJs4JRwVDQ8yfOhy5r2kb2VnP4OTqiS8Hjys2TU7WM3j6+aNb3+Flke0yYdetLXx/DsGNGUtwol5nPL0Ug/p7fkcF66J/HPGeNgrOA3vg6qjpOFajHe7+ugm1t/wCU3/lh32NFTNg1aIhLvYbi78DOuBx5EnU378aIvvKmiqWWrZv+QN7IrZiSNBozJq/DCJDI0yf+P1rY8eJvw9j9cql6N6rH+YuXgkXV3dMm/i94lxJeZIMScoTfDVgKBYuXY3h347HhXOnsWTRHE0V650c2BGOw3s3ovfgCRgfug4iQyMsnj7stedKTvYzOLp44YuBIa89dtWARpjz20HF45tvZ5V29kvV8WNHsGrlcvTo1Rfzw5bD1c0dU16JhwVFX7uKubNnoGXrtlgQtgL1AxshdPok3L1zW5Fm25ZN2LNrO4YGj8LPC36BoaEhpkwcr/Of83omxki7FIsrI6a+VXojF0fU3bUCT47+hxN1OuJ22BpUXzEDVq0aK9KUNBbpGsYNJZ4rhW3fsgl7IrZhcNC3mD1/KUSGhpg2cezrv4P9fRirVy5Dj15fYd7iX1+0j7Eq9ZidnY2AWvXQpXtvTRSDqEhl2rlu2rQphg8fjlGjRkEsFsPGxgYrV65ERkYG+vfvj0qVKsHDwwP79u1T7HPlyhW0bdsWFStWhI2NDfr06YPk5GSVYwYHB2PUqFGwsrLCJ598AgC4evUqPv30U5iamqJSpUr46KOPEBcXp5KfuXPnws7ODpaWlggKCkJubu47lWv+/PmoXr06TExM4OTkhGHDhiE9PR0AcPToUfTv3x+pqakQCAQQCASYMmXKO71PaZHL5di3czM69/gKdRp8BGdXDwSNnghJSjLOnjpe7H57dvwPzT/pgKat2sOxiiu+CfoeFUQiHI3crUiz9rdFaNOhKzp26wMnZzfYOzoj8KMWMDCooImivRO5XI6IHVvRveeXqB/YCC6u7hg5ZjxSniTjv1Mnit1v5/Y/0bpNO7Ro3RZOVVwwNPhbiEQiHPorv/1mZKTj4F/78PXAoajhXwsenl4Y/u1YxERfRWzMNU0Vr0TkcjkiI/5Ah+4DUKt+Uzi5eGLgyGmQpDzG+f+OFrtfjdqN0KX3MNRu0KzYNA2btUfHHgNRtUa9Msh52XAd1R/3f9+MB2u2IT06DpeHTcbzzCw49etSZHqH3h1xc/ZyPN7/N57dfoB7K/5A0r5jcPv2awCA0FAE289bIybkZ6ScOIvMuHu4Mf0XZMbdhfPgXpos2juRy+XYvXMLuvbog3qBjeHi6o4RY0KQkpKM0685VyK2/4lWbdqjRav8c2Vw8GiIDA1x+K+9AABnFzeMnTANdes3hK2dA6rXrIXefb/B2f9O4fnzPE0Vr0TkcjkO7d6Adl0Hwr9eMzi6eKH/8OmQSh4j6vSRYverVqsxOvUKRsAro9Wv0tc3gJnYSvEwqWha2kUoVTu3b0HrNu3QsnUbVKnigqHBoyASiXDwr/1Fpo/YuQ21atfF5117wKmKM3r37Q83d0/sidgB4GVc3oZuBeLyqDHjkPIkGf++pq3pgscH/sb1yQuRuPPgW6V3HtQTz24/QPTY2UiPuYW7SzcgYesBuI7sp0hT0likSxg3VPFcUfWyfXTr0Qf1X7SPkS/ax+u+g+16pX0MedE+Xn4HA4AOnbqiS/de8PbxK/Y4HyK5XHuPD1GZj1yvWbMGVlZWOH36NIYPH46hQ4eiW7duaNiwIc6fP4/WrVujT58+yMzMhFQqRfPmzREQEICzZ89i//79SExMRPfu3Qsds0KFCjh58iSWL1+Ohw8fokmTJhCJRDh8+DDOnTuHr7/+Gnl5ymB75MgRxMXF4ciRI1izZg3Cw8MRHh7+TmUSCoVYvHgxrl69ijVr1uDw4cMYO3YsAKBhw4ZYuHAhTE1NER8fj/j4eHz33XfvXH+lISnxEaSSJ6juX0exzdikIjy8/XA95kqR++Tl5uL2zVhU96+r2CYUClHdv45in1SpBDdjr8HMXIyJ3w3G4C8/xdTxQYi5erFsC6SmxIR4SCQpqOFfW7HNxKQivLx9ERtddCc4NzcXcTevq+wjFApR07+2ouMcd+M68vLyVNI4OlWBtXVlxEZfLaPSqOdx4kOkSp6odICNTSrC3asabsa+H9MPS4vAwABmtaoi+dA/yo1yOZIP/wPzBgFF7iMUGUCWpfpLuywrG+KGtfKPqa8Pob4+nmepjtY8f5YNi0a1SrcAZSAxIR5SSQpqvnKueHr7FfuDUf65ElvoXKlR4FwpSkZmOoyNjaGnp5tXKyUnPkSaNBm+NZRTM41MKsHVszpuxaof865fPYvv+jfDpOEdsWHFT0h/KlX7mGXlZTys6a9sw/nxsFax/8exMddQM6C2yraA2nUU6V/G5YLHfFNcfl+ZN/BH8uFTKtseR56AuIE/gHeLRbqEcUOJ50phyvy/2j58ERtT9HclZT2+2j5qFbsPkbaUeTSqWbMmfvzxRwBASEgIZs2aBSsrKwwcOBAAMGnSJCxbtgyXLl3CwYMHERAQgJkzZyr2X7VqFZycnHD9+nV4eXkBADw9PTFnjnIa0A8//AAzMzNs2rQJBgYGAKBI+5JYLMYvv/wCPT09+Pj4oH379jh06JAiHyUxatQoxd8uLi6YMWMGhgwZgqVLl6JChQowMzODQCCAra3tG4+VnZ2N7GzVL96iUr5WWSpJAQCYmatOJzMzt4BU+qTIfdLSpJDJnhe5z8MH9wAASQkPAQBbNq7Cl18Hw9nNE38f3ocZE0bi5yXr3ng9t7a8rA9zsVhlu5m5GJIXr73qaVoqZDJZkfs8uJ9fHxKJBPr6Bqj4yvU95mIxJJKip39pW+qL/39Tc0uV7aZmFkiVFN02yqsKVmII9fWRnaRa7uzEJzDxdityn8d/nYDryH54cvwMMuPuwap5IGw7tQL09AAAz9MzIDl1Hp4ThiE95hayE5Ph0PNTiBv4I+PmvTIvk7oUseOVNQPM3+ZcMS+8z8P7RZc5LVWKP/9Yh1ZtOpRCrstGmjR/BlWR50oxcfRtVQ1ohIAGLWBV2QGPE+5jx8ZfEDYjCONmroXwRVvSJWnFxENzczEe3L9f5D5SSQrMzQunf9mOXsbIoo6pq/HzXYlsrJCdmKyyLTsxGQZmlSA0FMFAbFbiWKRLGDeUeK4UpmwfhfMvfUP7MCuiXoprH6T0oY4ga0uZd65r1Kih+FtPTw+WlpaoXr26YpuNjQ0AICkpCRcvXsSRI0cKdU4AIC4uTtFhrl1b9Re9qKgofPTRR4qOdVGqVq0KvQJfUuzs7HD58ruNzB08eBChoaGIiYlBWloa8vLykJWVhczMTBgbG5foWKGhoZg6VfU6rcmTJ6Nj7+B3yhsAnDhyACuX/Kx4Pm7yz69J/e5kL87WFm06ommr9gAAV3cvXL14Dkcjd+OLfkPL5H1L6tiRg1gWNl/x/MepoVrMjXadOrYPa5Ypf7wa9eNC7WWmHLg2+idUXz4DTa/sg1wuR2bcfdxfs01l6mZUv7GosXImWt47DlleHtIuXMOj/+2BWUBVLea8aMeORGLFL/MUzydMKfvrfjMzM/DTlBA4VXFGj979yvz93tZ/f+/BhhUzFM+Dfwgrs/eq27iN4m8HZ084OHvhx6BPEXv1rMpIOZEuYtyg1zl2JBLLf1F+B5sw5cP9DkYfhjLvXL/a4RUIBCrbBIL8ha9kMhnS09PRoUMHzJ49u9Bx7OzsFH+bmJiovGZkZPRO+ZDJZG8uwCvu3LmDTz/9FEOHDsVPP/0ECwsLnDhxAgMGDEBOTk6JO9chISEYPXq0yjaRSIRr956WOG8v1a7fGB7eyi/uubn501ZTpSkQW1gptqdKU+Ds6lnkMUxNzSEU6iFVqvorYqo0RbHytVicP4LjWMVVJY29kzOSHye+c/5LW736DVVWk3xZH1KJBBYWylGoVKkErm4eRR6jkqkZhEIhpK/8KpwqlUBs8bI+xMjLy0V6errKD0RSiQTiV36h1Rb/ek3g5lVN8TzvRV2kSZ/AvEDbSEtNgZOrV6H9y7OcZAlkeXkQVVYdmRTZWCI7IbnYfc51DYJQVAEGlubIfpQEn5nfIfOWckQi89Z9/NuiD/SMjaBvWhHZCY8RsGEBMm8XPWqhTfXqN3rlXMlflyJVkqJyrkjf5lx5JXZIpZJCq+Y/y8zE9IljYWRkhHE/Toe+vu5M7axZtylcPZU/BBc8V8zE1ortaakpcHIp3XPF2tYRFU3FeJxwXyc716bFxENpgXj4KnOxRaEFnKRSCcRiZfwECsfl/LbmXprZ17rsxGSIbKxUtolsrJCb+hSyrOx3ikXaxLhRPJ4rL9uH8hpoxXfSIvP/+vaRWkS96PLdWHSFjCPXGqVTq4XXqlULV69ehYuLCzw8PFQer3aoC6pRowaOHz/+zguUlcS5c+cgk8kwb948NGjQAF5eXnj06JFKmgoVKuD58+dvdTyRSARTU1OVh7rTwo2MTWBr76h4OFZxhbnYEleizinSZGZm4GbsNXj5VCvyGPoGBnD18MaVi2cV22QyGa5cPKfYx9rGDmILKzx6cFdl34SH92FV+c1T4jXFyNgYdvYOiodTFReIxRa4dPG8Ik1mZgaux0bD27foRTAMDAzg7uGlso9MJsOlqPOKhTPcPb2gr6+PS1HKNA8f3MPjx0nw9tWNUUojIxPY2DkpHvZObjATW+LapTOKNM8y0xF3/Qo8vKu/5kjljzw3F6nnr8KqeaByo0AAy2aBkP574bX7yrJzkP0oCQJ9fdh2bo3EiMK34Xme+QzZCY+hb24K69aNkVBEGm3LP1ccFQ+nKi4wL+JcuRF7rdgFY/LPFW+V8yD/XDmnsk9mZgamTvwO+gb6CJk0ExUq6Nat+wyNTFDZroriYefkDlNzK8RcPq1I8ywzHbdvXIabd81SfW/Jk0RkPJXCTGz15sRaoIyHyvMi///4QrHtwtvHT6VNAEDUBWWbsLG1K3Fcfl9J/42CZfMGKtusWjSE5N8oAOrFIm1g3Cgez5W3/w52IzYa3j5Ff1dS1OMr7eNy1Pli9yHSFp3qXAcFBSElJQVffPEFzpw5g7i4OBw4cAD9+/d/bWc1ODgYaWlp6NmzJ86ePYsbN25g3bp1iI2NLfU8enh4IDc3F2FhYbh16xbWrVuH5cuXq6RxcXFBeno6Dh06hOTkZGRmZpZ6PkpCIBCgbcfu2P6/NTj733HcuxOHpfOnQ2xhhTqBHynSTf9hBPZHbFE8b9+pBw4fiMCxQ3vx8P4d/L50LrKzsvBxy/aK43bo0gv7I7bg3xNHkPDoAf637lc8fHAXzVp/qvFyvi2BQIAOnbrgz03rcfrfk7hz+xYWzp0FC0sr1A9U3gplYsgY7IlQ3ne0Y+duiNy/B4cPHsD9e3exfMlCZGVnoUWr/CmdJiYV0bJ1W6xeuRSXL17AzRvXsXjBHHj7+unsypUCgQCtOnyBiD9/x4XTx3D/zk2sXDgZYgtr1KrfVJFuzsShOLjnf4rnWc8yce9WLO7dyj/HHic9xL1bsXjyOEGRJv1pKu7disXD+7cAAPGP7uLerVikSnRv5OWl2wtXw2lAdzj06YSKPm6otmQK9E2McH/NNgBAzdWz4T1DOdPEvF4N2HZqBSNXR4gb1Ua9Pb9BIBQibu5vijRWrRrDuvVHMHJxhFWLhmhwcC3SY2/hQfg2jZevpAQCAT7t2BVbNq3D6X9P4u6dW1g8byYsLKxQr8C5MvmH0dgboSxPh87dcPDAbhw5uB8P7t3FiiULkJ2Vheat2gJ48QX5x++QnZWFoJFjkZmZAUnKE0hSnrz1D5OaJhAI0OLT3ti7ZSUunjmKh3dvYPXiH2EutoZ/PeWq+fOnDMKRvZsUz7OeZeL+7Rjcvx0DAEhOeoj7t2OQ8jhe8fqWNfNx6/olJCc9RPSl/7B01ihY2zrBz7+hZgtZAh07d8VfRcTDlq3y7+CxYO4srF2tPA86dPwc58+dwY5tm/Hg/j38sX4N4m5cR/sOnQC8jMufY/OmDfjv339U4nKDAm1NF+mZGMO0pg9Ma+bft9jY1RGmNX1g6JQ/4857xmjUXK2ckXf3100wdnWCT+j3MPF2g/OQXrDr1ha3F4Ur0rwpFukyxg1VPFdUvWwffxZoH4vmhcLCQvU72KQfRmNvge9gn3XuhsgDu3H44H7cf9E+srKU38EAQJKSgttxNxEfn78m0N07t3A77iaePk3TXAHpg6dTc2ns7e1x8uRJjBs3Dq1bt0Z2djacnZ3Rpk0bCIXF/w5gaWmJw4cP4/vvv8fHH38MPT09+Pv7o1GjRqWex5o1a2L+/PmYPXs2QkJC0KRJE4SGhqJv376KNA0bNsSQIUPQo0cPPHnyBJMnT9b67bg+69Ib2VnPsDJsDjIz0uHtVwPjp81T+dU3MeEhnqalKp43bNIyf8GQ9b9BKkmBs5snxk+bpzIFp13HHsjNycHa3xYj42kaqrh6YML0hbC1c9Ro+Uqqc9eeyMrKwtKw+chIT4dv1eqYNG0WKlRQ3kIsIf4R0lKV9dH442ZITZPij3WrIZHkT7+aPG22Sn18PSgIAoEQs3+agtzcXATUroPBw0Zpsmgl1q7zV8jJykL40pnIzHgKL19/jJ60GAYF2kZSwgOkp0kVz+/cvIbZE4conm9atQAA0KjZp/hm5BQAQNTpv/F7mHI9geVzfwAAdOwxEJ2+GFyGJXp38X/uQwVrC3hNHgGRrTXSLkbj9KffIOfFwkJGTnaQF7icRCgSwWvqKBi7OeF5eiaS9h9DVL+xyEtVXtZhYFYJ3jNGw9DRFrkpUiRs/wuxExdAnqe7t44pqHPXL5CdlYXlYXORkZEOX7/qmDh9jkrsSIh/iLQCsaNxk+ZIS5Xij/WrIZWkwNXNAxOnzVGcK7duXseN2GgAwLBvVO9HunzVH6hsYwdd9EmnfsjJeob1y6cjM+MpPHwCMGLiUpVzJTnhPtKfKqcu3o27ivmTlQtn/hmef21qYNMO6Dd8OoRCIR7evYF/j0YgM/MpzMXW8K0ZiI5fBOn0LQ0/+rgZ0tJSsXFdeIF4OEvxf5z8OAlCoUCR3tevKsaMnYD1a1dhXfgq2Ds4IGTiNDi7KC8r+ryIuDx5WqhKXNZFZrWrIfDQOsVzvxex7v7abbg0IAQiO2sYOSnb9LM7D3Dms8HwmxcCl+F9kfUgAZcH/4jkSOVtiN4Ui3Qd44YSz5XC8r+DPcOysHkF2sfswt/BCrWPVGxaHw6JJAWubu6Y9Mp3sAP7duF/G9conk8YNxIAMHzUODQv0An/0MjlgjcnolIjkMu5hpwuunBDd0f3NCnA0wrRcQ+1nQ2d4evugH+i3/16/PKmoW8l7DHw1nY2dEL73FhcvRmv7WzojKoedjh65Zm2s6ETmlYzQkzcA21nQ2f4uDsybhTA2KFU1cOO50oBPu6OuHbz0ZsTfiD8POy1nYV3su5v7b13nybae29t0amRayIiIiIiIiodHEbVLJ265lobjh8/jooVKxb7ICIiIiIiInqTD37kuk6dOoiKitJ2NoiIiIiIiOg99sF3ro2MjODhUfR99YiIiIiIiN5XvM+1Zn3w08KJiIiIiIiI1PXBj1wTERERERGVR1zQTLM4ck1ERERERESkJnauiYiIiIiIiNTEaeFERERERETlEKeFaxZHromIiIiIiIjUxJFrIiIiIiKicoi34tIsjlwTERERERERqYkj10REREREROUQr7nWLI5cExEREREREamJnWsiIiIiIiIiNXFaOBERERERUTkkk2k7Bx8WjlwTERERERERqYkj10REREREROUQFzTTLI5cExEREREREamJnWsiIiIiIiIiNXFaOBERERERUTnEaeGaxZFrIiIiIiIiIjUJ5HL+nkFERERERFTeLNmnvfcOaqu999YWTgvXUVE3Hms7CzrB39Ma0XEPtZ0NneHr7oDGHY5pOxs640TEx7h6M17b2dAJVT3ssMfAW9vZ0Bntc2Nx4UaytrOhEwI8rRhHC/B1d2DcKICxQ6l9bixi4h5oOxs6w8fdkbGjAF93B21ngd4D7FwTERERERGVQ9qdpCzQ4ntrB6+5JiIiIiIiIlITO9dEREREREREauK0cCIiIiIionKIS1drFkeuiYiIiIiIiNTEkWsiIiIiIqJySCbTdg4+LBy5JiIiIiIiIlITO9dEREREREREauK0cCIiIiIionKIC5ppFkeuiYiIiIiIiNTEkWsiIiIiIqJySMaRa43iyDURERERERGRmjhyTUREREREVA7xmmvN4sg1ERERERERkZrYuSYiIiIiIiJSE6eFExERERERlUNyra5oJtDie2sHR66JiIiIiIiI1MSRayIiIiIionKIt+LSLI5cExEREREREamJnWsiIiIiIiIiNb2Xnet+/fqhU6dO77y/i4sLFi5cWGr5ISIiIiIi0jVyufYeHyJec/2BkMvl+HPD7zh0IAIZGU/h7Vsd3wz7DnYOTq/d78DurYjY9gekkhQ4u7qj/+Bv4eHtp3h96vhgXLsSpbJPyzYdMTD4+7IoRqmRy+X4Y304IvfvQUZGOnz8qmFI0CjYOzi+dr+9ETuwfev/IJWkwMXVHQOHDoeXt6/i9ZycHKxeuQwn/j6C3Nwc+NeqiyFBI2EutijrIqllQG8XdGhti0om+rgcnYa5S2/gQfyzYtMbGelhYG8XNAm0gtjMANdvpWPRyjjE3HiqSNMk0Aqd2trB270SzEwN0G/EWdy8naGJ4qhFLpdj0/rViDywG5kZ6fDxrYZBQaPf2Db27d6OHVs3vWgbHvhmyAh4vmgbT5+mYdP61bh44SySHyfC1Mwc9Ro0xhd9voaJSUVNFKvELBrXgduYATCrVQ2G9pVxtsswJO469Pp9mtSD39zxqOjniaz78bgZugwP1m5XSeM8tBfcRg+AyNYaaZdicHXUdKSeuVyWRSk1+XH0NxxWxNEaGPDWcXQjUiUpqOLqUWQcjb5yQWWflm064pvgsWVSjtLCOKqKsSMfY0dheyJ2YMfWzZC8aPODhg6Hl7dPselPHj+GDetWIykxAfb2juj79UDUqVtf8bpcLsfG9eGI3L9Xce4NDRr5xramKxg7qDzTuZHrnJwcbWehXNq1dQP2RWzBN0Hf4ad5v8LQ0AgzJ41GTk52sfv88/chrP3tF3T5oj9mLfodzq4emDlpNFKlEpV0LT7pgBXrdioevb8eVtbFUdv2LZuwe9c2DAn+FnMWLIGhoSGmThz32vZ34tgRrFq5DD179cX8sBVwcXPH1InjIC1QH6t+XYIzp0/h+5BJmDF7ISQpTzBrxmRNFOmd9e7ihK6fOmDu0hsY9N0FPMt6jvnTqqOCQfG3Txg/3At1A8SYPj8GfYefxZkLEiycXgNWFhUUaYwMhbh0LQ3L1tzSRDFKzfYtf2BPxFYMCRqNWfOXQWRohOkTv3/tuXLi78NYvXIpuvfqh7mLV8LF1R3TJn6vaBspT5IhSXmCrwYMxcKlqzH82/G4cO40liyao6lilZieiTHSLsXiyoipb5XeyMURdXetwJOj/+FEnY64HbYG1VfMgFWrxoo0dt3awvfnENyYsQQn6nXG00sxqL/nd1Swfj+++OzaugH7I7bgm6DvMWPeSogMDRH6xjh6EOt+C0PXL75G6KJVcHb1QGgRcbT5J59h+bpdikevr4PKujhqYxxVxdiRj7FD1fFjR7Bq5XL06NUX88OWw9XNHVNeafMFRV+7irmzZ6Bl67ZYELYC9QMbIXT6JNy9c1uRZtuWTdizazuGBo/Czwt+gaGhIaZMHP/efIdm7NAsmUyutceHqESd66ZNm2L48OEYNWoUxGIxbGxssHLlSmRkZKB///6oVKkSPDw8sG/fPsU+V65cQdu2bVGxYkXY2NigT58+SE5OVjlmcHAwRo0aBSsrK3zyyScAgKtXr+LTTz+FqakpKlWqhI8++ghxcXEq+Zk7dy7s7OxgaWmJoKAg5ObmvlMl3Lt3Dx07dkTFihVhamqK7t27IzExUfH6lClT4O/vj3Xr1sHFxQVmZmbo2bMnnj5VjtI9ffoUvXv3homJCezs7LBgwQI0bdoUo0aNeqc8lSa5XI69O//E5z36om6Dj+Ds6oGg0T9CkvIEZ04dL3a/PTs2ocUnHdCsVXs4VnHFN0Hfo4LIEEcid6ukqyAyhLnYUvEwNjYp6yKpRS6XI2LHVnTv+SXqBzaCi6s7Ro4Zj5Qnyfjv1Ili99u5/U+0btMOLVq3hVMVFwwN/hYikQiH/spv7xkZ6Tj41z58PXAoavjXgoenF4Z/OxYx0VcRG3NNU8UrsW6fOWDt5rs48d8TxN3JwIwFMbC0EOGjBlZFpq9QQYiPG1pj6epbuHg1FQ/js7Dqj7t4GP8MndvZK9IdOJKE8E13cTaq6C8Qukgul2P3zi3o2qMP6gU2hourO0aMCUFKSjJOv6ZtRGz/E63atEeLVvltY3DwaIgMDXH4r70AAGcXN4ydMA116zeErZ0Dqteshd59v8HZ/07h+fM8TRWvRB4f+BvXJy9E4s6Db5XeeVBPPLv9ANFjZyM95hbuLt2AhK0H4DqynyKN66j+uP/7ZjxYsw3p0XG4PGwynmdmwalflzIqRemRy+XYt3MzOvf4CnUUcXQiJCnJOPvaOPo/NP+kA5qqxFERjr4SR0UiEeMo3t84ytihxNihauf2LWjdph1atm6DKlVcMDR4FEQiEQ7+tb/I9BE7t6FW7br4vGsPOFVxRu++/eHm7ok9ETsAvDz3tqFbgXNv1JhxSHmSjH9f09Z0BWMHlXclHrles2YNrKyscPr0aQwfPhxDhw5Ft27d0LBhQ5w/fx6tW7dGnz59kJmZCalUiubNmyMgIABnz57F/v37kZiYiO7duxc6ZoUKFXDy5EksX74cDx8+RJMmTSASiXD48GGcO3cOX3/9NfLylB8kR44cQVxcHI4cOYI1a9YgPDwc4eHhJa4AmUyGjh07IiUlBceOHUNkZCRu3bqFHj16qKSLi4vDjh07sHv3buzevRvHjh3DrFmzFK+PHj0aJ0+exK5duxAZGYnjx4/j/PnzJc5PWUhKfASp5Amq+9dVbDM2qQgPbz/ciLlS5D55ubm4dfM6qvvXUWwTCoWo7l8HN2KuqqQ9cTQS3/RqjzHD+mBj+HJkZ2WVTUFKSWJCPCSSFNTwr63YZmJSEV7evoiNLjoA5+bmIu7mdZV9hEIhavrXVgTtuBvXkZeXp5LG0akKrK0rIzb6aqFj6gJ7G0NYWYhwpkAHOCPzOa5dT0M1H9Mi99HTE0BfT4CcHJnK9uwcGWr4mZVpfstaYkI8pJIU1HylbXh6+xX74ZzfNmILtY0aBdpGUTIy02FsbAw9vfJxdY55A38kHz6lsu1x5AmIG/gDAAQGBjCrVRXJh/5RJpDLkXz4H5g3CNBgTt+NMo4qY+LLOHr9NXH09s1Yldj7Mo6+us+Jo5EY2Ksdvhv2Jf4IX8Y4+h7FUYCxQx3lOXa8bPM1/WsptuW3+VrF/h/HxlxDzYDaKtsCatdRpH957hU85pvOPV3C2KF5vOZas0ocmWvWrIkff/wRABASEoJZs2bBysoKAwcOBABMmjQJy5Ytw6VLl3Dw4EEEBARg5syZiv1XrVoFJycnXL9+HV5eXgAAT09PzJmjnOL0ww8/wMzMDJs2bYKBgQEAKNK+JBaL8csvv0BPTw8+Pj5o3749Dh06pMjH2zp06BAuX76M27dvw8kp/7q5tWvXomrVqjhz5gzq1s3/UiSTyRAeHo5KlSoBAPr06YNDhw7hp59+wtOnT7FmzRps3LgRLVq0AACsXr0a9vb2Rb9pAdnZ2cjOVp0yJhKJSlSGN5FKUgAAZuZile1m5mJIpSlF7pOWlgqZ7DnMzC1e2ccCjx7cVTxv1LQVrKxtYWFphbu347AxfBkePbyH7ybMfPWQOuNlfZiLC9eHRFJ0fTxNS4VMJitynwf37wEAJBIJ9PUNULGi6nVw5mIxJBLdHL21EOdP45ZIVWd9SKQ5itde9ezZc1yOTkW/ns648yATEmkOWjapjKrepnj4muu03weKc+WV67PM36ZtmBfe5+GLtvGqtFQp/vxjHVq16VAKudYNIhsrZCcmq2zLTkyGgVklCA1FMBCbQaivj+ykJ6+keQITbzdNZvWdKONo4ZgolT4pahekpUmLjaMPHyjbRqOmrWBtbQuxpRXu3b6piKNjJoSWcilKD+OoKsaOd1eeY0daMW3e3FyMB/fvF7mPVJICc/PC6V+2o5fnQVHH1OVz5CXGDirvSty5rlGjhuJvPT09WFpaonr16optNjY2AICkpCRcvHgRR44cKdTQgfyR4Jcd5tq1VX+hi4qKwkcffaToWBelatWq0NPTUzy3s7PD5cslX9giOjoaTk5Oio41APj5+cHc3BzR0dGKzrWLi4uiY/3y/ZKSkgAAt27dQm5uLurVq6d43czMDN7e3m98/9DQUEydqnpd0uTJk9Gp97tfb3f8yF9YueRnxfPxk8vu2qyWbToq/q7i4g6xhSWmTxiJhPiHsLVzKLP3LYljRw5iWdh8xfMfp+ruF9ay1urjyvg+SPlD1dhp77YYzPT5MQgZ6Y2dawKR91yO63FPcfDvJHh76OYCO8U5diQSK36Zp3g+Ycqs16QuHZmZGfhpSgicqjijR+9+Zf5+9G5OHDmgEkfHTf75NanV82ocNbewwowJI5AQ/wC2drqxQBHjqCrGDqK3w9hBH5oSd65f7fAKBAKVbQJB/iJIMpkM6enp6NChA2bPnl3oOHZ2doq/TUxUry0zMjJ6p3zIZLJiUquvrN4vJCQEo0ePVtkmEokQfS/tnY9Zp35jeBZYiTY3N3+BiFSpBGIL5XW0qVIJXFw9ijyGqakZhEI9pL4ysp0qTYG52LLY9365Am7Cowc607muV7+hymqSL+tDKpHAwkJZllSpBK5uRddHJVMzCIVCSF/59TO/TvNHHcRiMfLycpGenq7yg5JUIoH4lV9bteXE6Se4dv2s4nkFg/wrQ8TmBngiUS4kIjavgJu30os9zqOELAwPuQhDkRAmxvp4IsnB1LG+eJSg21NZX1WvfqNX2kb+CH6qJEWlbUjfpm28cq5IpZJCK5Q+y8zE9IljYWRkhHE/Toe+fvmY1gnkjzSJbFSv0xfZWCE39SlkWdnISZZAlpcHUWXLV9JYIjtBddRKF9Su3xge3lUVz5VxNOWVOJoCZ1fPIo9hamr+mjha/EJML+No4qOHOtO5ZhxVxdhRespb7CjItJg2Ly3Q5l9lLrYotNiZVCqBWKw8R4DC515+W3MvzeyXCsYO7ftQp2drS5muFl6rVi1cvXoVLi4u8PDwUHm82qEuqEaNGjh+/Pg7L1BWEr6+vrh//z7uF5iec+3aNUilUvj5+b1mTyU3NzcYGBjgzJkzim2pqam4fv36G/cViUQwNTVVeag7LdzI2Bi29o6Kh2MVV5iLLXE5StmpyszMwM3Ya/D0qVbkMfQNDODm4YXLF88ptslkMly5eA6ePlWL3AcA7ty6AQAQWxTfAdc0I2Nj2Nk7KB5OVVwgFlvg0kXlNfGZmRm4HhsNb9+i/88NDAzg7uGlso9MJsOlqPPw9snfx93TC/r6+rgUpUzz8ME9PH6cBG/f4utMk549e46H8VmKx+17mUhOyUadmsoPHmMjPfh5meJKzJt/4MnKluGJJAeVTPRRL8ACJ/4renqsrspvG46Kh1MVF5gX0TZuxF5T/D+/Kr9teKv8v+e3jXMq+2RmZmDqxO+gb6CPkEkzUaFC6V7+oW3Sf6Ng2byByjarFg0h+TcKACDPzUXq+auwah6oTCAQwLJZIKT/qt6GShcYGZsUGUevRClj4ss46vWaOOrq4Y0rF5Wx92UcLW4fALj7Io6aM44C0L04CjB2lKbyFjsKUrZ5ZT7z/48vFNsuvH38VNoEAERdULYJG1u7Ep972sTYQR+aMv3pMygoCCtXrsQXX3yBsWPHwsLCAjdv3sSmTZvw22+/qUzrLig4OBhhYWHo2bMnQkJCYGZmhn///Rf16tV7q6nWJdGyZUtUr14dvXv3xsKFC5GXl4dhw4bh448/Rp06dd58AACVKlXCV199he+//x4WFhaoXLkyJk+eDKFQqBjJ1yaBQIB2Hbth+//WwM7BCZVt7PC/9b9BbGGJuoEfKdJN/2Ek6gY2QZsO+atvtu/UE0sX/AR3Tx+4e/li787NyM56hqYt2wMAEuIf4uTRSATUbYCKlcxw704c1q5cDN9q/nAuZkRcFwgEAnTo1AV/bloPe3sHVLaxw8Z1q2FhaYX6gcpbf0wMGYMGDRujfYfOAICOnbth0fxZ8PD0hqeXDyJ2bkVWdhZatGoDIH9Bjpat22L1yqWoVKkSjIxNsHL5Ynj7+hX7IaoL/tz1EF/1qIL7j54hPjEL33zpgicp2Tj+r3JEYOGMGvj7VDK27XkEAKgXIIZAANx7+AwOdkYI6u+Gew8ysedggmKfShX1YWMtgpVF/hfBKg7GAIAUSQ5SpGX/w9m7EAgE+LRjV2zZtA529o6wsbXDH+t+h4WFFeoVaBuTfxiN+oGN0a7D5wCADp27IWx+6Iu24YuInVuQnZWF5q3aAnjx5fjH75CTnY1R301AZmYGMjPz7/ltamZebCzUJj0TY5h4VFE8N3Z1hGlNH+SkpCLrfjy8Z4yGoYMNLvYfBwC4++smOA/rDZ/Q73E/fCusmjWAXbe2OPPZYMUxbi9cjZqrZkN67gpSz1yCy4ivoG9ihPtrtmm8fCUlEAjQtmN3bP/fGtg6OKKyjT02r18JsYUV6qjE0REv4mhXAED7Tj2wbMFPcPP0gYeX34s4moWPFXH0wYs4Gvgijt5kHH0P4yhjhxJjh6qOnbti0fzZ8PD0UmnzLVvl3x1nwdxZsLS0Qt/+3wAAOnT8HBPGfYsd2zajTt0GOH7sCOJuXEfQ8PxZjvnn3ufYvGlDfluzsVWcew0KtDVdxdiheTIOXWtUmXau7e3tcfLkSYwbNw6tW7dGdnY2nJ2d0aZNGwiFxQ+aW1pa4vDhw/j+++/x8ccfQ09PD/7+/mjUqFGp51EgEGDnzp0YPnw4mjRpAqFQiDZt2iAsLKxEx5k/fz6GDBmiuH3Y2LFjcf/+fRgaGpZ6nt/FZ116IzsrC7+GzUFmRjq8/aojZNo8lV/AExMe4mmaVPG8YZMWSEuVYvP63yCVpMDFzQMh0+Yppqvp6+vj8sWz2Lsr/8uipVVl1GvYFJ/3/ErTxSuxzl17IisrC0vD5iMjPR2+Vatj0rRZqFBBuYhXQvwjpKWmKp43/rgZUtOk+GPdakgk+dOvJk+brTJ97+tBQRAIhJj90xTk5uYioHYdDB42SpNFK7ENW+/D0FAPY4O9UNFEH5evpWLM5MvIyVUGYwdbI5ibKi+NqGiij8F9XWFtJULa01wc+ycZv667jefPlfs0rm+JCaN8FM+njcv/cFu18Q5W/aFcFE/XdO76BbKzsrA8bC4yMtLh61cdE6fPUTlXEuIfIi2tQNto0hxpqVL8sX41pJIUuLp5YOK0OYq2cevmddyIjQYADPumt8r7LV/1Byrb2EHXmNWuhsBD6xTP/eb+AAC4v3YbLg0IgcjOGkZOynw/u/MAZz4bDL95IXAZ3hdZDxJwefCPSI5U3lol/s99qGBtAa/JIyCytUbaxWic/vQb5CS9HzMe8uPoM6xUxNEaGF9kHFW2jYZNWuYvQvUijjq7eWK8Shw1wJWLZ7GvQByt37ApOvfsp+nilRjjqCrGjnyMHao++rgZ0tJSsXFdeIE2P0vxf5z8OAlCoXIgxtevKsaMnYD1a1dhXfgq2Ds4IGTiNDi7uCrSfF7EuTd5WqjKuafLGDuoPBPI5fw5oyxkZGTAwcEB8+bNw4ABA0q8f9SNx2WQq/ePv6c1ouMeajsbOsPX3QGNOxzTdjZ0xomIj3H1Zry2s6ETqnrYYY9B6c7seZ+1z43FhRu6fT2mpgR4WjGOFuDr7sC4UQBjh1L73FjExD3QdjZ0ho+7I2NHAb7uurGWUElN/yPvzYnKyMQvymYcNyUlBcOHD0dERASEQiG6dOmCRYsWFbmI9ktNmzbFsWOq36EHDx6M5cuXK57fu3cPQ4cOVSzI/dVXXyE0NLRE61yUnxUxtOzChQuIiYlBvXr1kJqaimnTpgEAOnbs+IY9iYiIiIiISp+87NZ71prevXsjPj4ekZGRyM3NRf/+/TFo0CBs3LjxtfsNHDhQ0UcDAGNjY8Xfz58/R/v27WFra4t//vkH8fHx6Nu3LwwMDFRuK/0m5a5zffz4cbRt27bY19PTi18BWV1z585FbGwsKlSogNq1a+P48eOwsrJ6845ERERERETlSHZ2NrKzs1W2iUQitRZvjo6Oxv79+3HmzBnF+lhhYWFo164d5s6dC3t7+2L3NTY2hq2tbZGv/fXXX7h27RoOHjwIGxsb+Pv7Y/r06Rg3bhymTJny1pddlOlq4dpQp04dREVFFfsoKwEBATh37hzS09ORkpKCyMhIlft/ExERERERaZJcLtfaIzQ0FGZmZiqP0FD17nV+6tQpmJubqyw83bJlSwiFQvz333+v3XfDhg2wsrJCtWrVEBISgszMTJXjVq9eHTY2Noptn3zyCdLS0nD16tW3zl+5G7k2MjKCh4furrBKRERERERU3oWEhGD06NEq29S95XBCQgIqV66ssk1fXx8WFhZISEgoZi+gV69ecHZ2hr29PS5duoRx48YhNjYW27ZtUxy3YMcagOL56477qnLXuSYiIiIiIiJApsVrrksyBXz8+PGYPXv2a9NER0e/c14GDRqk+Lt69eqws7NDixYtEBcXB3d393c+7qvYuSYiIiIiIiKtGTNmDPr16/faNG5ubrC1tUVSUpLK9ry8PKSkpBR7PXVR6tevDwC4efMm3N3dYWtri9OnT6ukSUxMBIASHZedayIiIiIiItIaa2trWFtbvzFdYGAgpFIpzp07h9q1awMADh8+DJlMpugwv42Xa3HZ2dkpjvvTTz8hKSlJMe08MjISpqam8PPze+vjlrsFzYiIiIiIiEi7C5qVBV9fX7Rp0wYDBw7E6dOncfLkSQQHB6Nnz56KlcIfPnwIHx8fxUh0XFwcpk+fjnPnzuHOnTvYtWsX+vbtiyZNmqBGjRoAgNatW8PPzw99+vTBxYsXceDAAfz4448ICgoq0XXi7FwTERERERHRe2HDhg3w8fFBixYt0K5dOzRu3Bi//vqr4vXc3FzExsYqVgOvUKECDh48iNatW8PHxwdjxoxBly5dEBERodhHT08Pu3fvhp6eHgIDA/Hll1+ib9++KvfFfhucFk5ERERERFQOycpmAFmrLCwssHHjxmJfd3FxURk5d3JywrFjx954XGdnZ+zdu1etvHHkmoiIiIiIiEhN7FwTERERERERqYnTwomIiIiIiMoheXmcF67DOHJNREREREREpCaOXBMREREREZVDZXRHLCoGR66JiIiIiIiI1MSRayIiIiIionJIxmuuNYoj10RERERERERqYueaiIiIiIiISE2cFk5ERERERFQOybmimUZx5JqIiIiIiIhITRy5JiIiIiIiKofkMm3n4MMikHOuABERERERUbkzdvkzrb33nCFGWntvbeHItY6Kjnuo7SzoBF93B6Sdj9R2NnSGaa1WbBsF+Lo7ICbugbazoRN83B1ZFwWwPpR83B0ZNwpg3FDFc0XJx90Rewy8tZ0NndE+Nxaxcfe1nQ2d4e3upO0s0HuAnWsiIiIiIqJySMZJyhrFBc2IiIiIiIiI1MSRayIiIiIionKIy2tpFkeuiYiIiIiIiNTEzjURERERERGRmjgtnIiIiIiIqBySyTgtXJM4ck1ERERERESkJo5cExERERERlUNcz0yzOHJNREREREREpCaOXBMREREREZVDcl5zrVEcuSYiIiIiIiJSEzvXRERERERERGritHAiIiIiIqJySMYVzTSKI9dEREREREREauLINRERERERUTnEBc00iyPXRERERERERGpi55qIiIiIiIhITZwWTkREREREVA5xWrhmceSaiIiIiIiISE0cuSYiIiIiIiqHOHCtWTo5ct20aVOMGjVKrWPI5XIMGjQIFhYWEAgEiIqKKpW8lUS/fv3QqVMnjb8vERERERERaZZOjlxv27YNBgYGah1j//79CA8Px9GjR+Hm5gYrK6tSyt37SS6X44/14YjcvwcZGenw8auGIUGjYO/g+Nr99kbswPat/4NUkgIXV3cMHDocXt6+itdzcnKweuUynPj7CHJzc+Bfqy6GBI2EudiirIukls1/HcP6iEN4kpoGzyoO+L5fN1T1cCky7fZDJ7H3+GnEPXgEAPBxrYKgHh0U6fPynmPZ5gicjLqKh0lPUNHIEPWq+yC452ewtjDXTIHUxPahtCdiB3Zs3QzJizINGjocXt4+xaY/efwYNqxbjaTEBNjbO6Lv1wNRp259xetyuRwb14cjcv9eRd0ODRr5xrrVFawPJdaFqrKKGwf27cbfRw/h1s0bePYsE+s370LFihXLujhqYdtQxfrIZ9G4DtzGDIBZrWowtK+Ms12GIXHXodfv06Qe/OaOR0U/T2Tdj8fN0GV4sHa7Shrnob3gNnoARLbWSLsUg6ujpiP1zOWyLEqp2ROxE9tftA1XV3cMGhr82rZx4vgxbFgX/qJtOOCrV9rGPyePY//e3Yi7eR1Pnz7FwrDlcHP30ERR3hu85lqzdHLk2sLCApUqVVLrGHFxcbCzs0PDhg1ha2sLff3CvyPk5OSo9R7vk+1bNmH3rm0YEvwt5ixYAkNDQ0ydOO61dXDi2BGsWrkMPXv1xfywFXBxc8fUieMglUoUaVb9ugRnTp/C9yGTMGP2QkhSnmDWjMmaKNI7++vUOSxctx3fdGmLdTPHwdPZAcNnLUFK6tMi05+LvoHWDWtj2Y8jsWrqGNhYmiM4dAmSUqQAgKycHMTcvo8BnfOPN2f0QNx9lIgxc1dosFTqYfvId/zYEaxauRw9evXF/LDlcHVzx5RXylRQ9LWrmDt7Blq2bosFYStQP7ARQqdPwt07txVptm3ZhD27tmNo8Cj8vOAXGBoaYsrE8e9F/GF9KLEuCiuruJGdnYVateuia49emiiG2tg2VLE+lPRMjJF2KRZXRkx9q/RGLo6ou2sFnhz9DyfqdMTtsDWovmIGrFo1VqSx69YWvj+H4MaMJThRrzOeXopB/T2/o4K17v5o/dLxY0fw+8rl6NmrDxaELYeLmxsmTxz/hrbxE1q1boOFYctRP7ARZk6frNI2srOy4Fe1Gr7qP1BTxSB6LZ3sXBecFr506VJ4enrC0NAQNjY26Nq16xv379evH4YPH4579+5BIBDAxcVFcdzg4GCMGjUKVlZW+OSTTwAA8+fPR/Xq1WFiYgInJycMGzYM6enpiuNNmTIF/v7+Ku+xcOFCxXEB4Pnz5xg9ejTMzc1haWmJsWPHQi7XjV+K5HI5InZsRfeeX6J+YCO4uLpj5JjxSHmSjP9OnSh2v53b/0TrNu3QonVbOFVxwdDgbyESiXDor30AgIyMdBz8ax++HjgUNfxrwcPTC8O/HYuY6KuIjbmmqeKV2MY9h9GpeUN81jQQbo52CBnQE4YVKmDX0VNFpp8R3A/dWjeBt4sjXBxs8eOg3pDL5ThzJRYAUNHYCEsmDEerwFpwsbdBdU9XfN+/O6Jv30dCcoomi/ZO2D6Udm7fgtZt2qFl6zaoUsUFQ4NHQSQS4eBf+4tMH7FzG2rVrovPu/aAUxVn9O7bH27untgTsQPAy7rdhm4F6nbUmHFIeZKMf19Tt7qC9aHEulBVVnEDAD7r1BVduveCl4+fJoqiNrYNVawPpccH/sb1yQuRuPPgW6V3HtQTz24/QPTY2UiPuYW7SzcgYesBuI7sp0jjOqo/7v++GQ/WbEN6dBwuD5uM55lZcOrXpYxKUXp2bt9aoG04Y1gJ28aXffvDzd0DeyJ2KtI0a9EKPXv1Qc2AWpoqBtFr6WTn+qWzZ89ixIgRmDZtGmJjY7F//340adLkjfstWrQI06ZNg6OjI+Lj43HmzBnFa2vWrEGFChVw8uRJLF++HAAgFAqxePFiXL16FWvWrMHhw4cxduzYEuV13rx5CA8Px6pVq3DixAmkpKRg+/btb95RAxIT4iGRpKCGf23FNhOTivDy9kVsdNGdnNzcXMTdvK6yj1AoRE3/2oqOUdyN68jLy1NJ4+hUBdbWlREbfbWMSqOe3Lw8xNy+j3rVvBXbhEIh6lXzxuUbt1+zp1JWdg7y8p7DtKJxsWnSM59BIBCgorGR2nkua2wf+V6Wqaa/8gM6v0y1iv0xIDbmGmoG1FbZFlC7jiL9y7oteMw31a2uYH0osS4KK6u48b5h21DF+lCPeQN/JB9W/aH/ceQJiBv4AwAEBgYwq1UVyYf+USaQy5F8+B+YNwjQYE5LLjc3FzdvXod/EW0jppi2ERNzrVCnuVbtusWmp6LJ5XKtPT5EOnnN9Uv37t2DiYkJPv30U1SqVAnOzs4ICHhz8DAzM0OlSpWgp6cHW1tbldc8PT0xZ84clW0FF09zcXHBjBkzMGTIECxduvSt87pw4UKEhITg888/BwAsX74cBw4ceON+2dnZyM7OVtkmEone+n3fhlSSP3pqLharbDczF0MiKXpk9WlaKmQyWZH7PLh/DwAgkUigr29Q6Fo4c7EYEknRU3y0TZqWjucyGSzMVC87sDAzxZ1HiW91jLCNO2ElNkO9akVfI5Sdk4tf/tiJ1g1rvxeda7aPfGnFlMncXIwH9+8XuY9UkgJz88LpX9bby3IWdUxdrIOCWB9KrIvCyipuvG/YNlSxPtQjsrFCdmKyyrbsxGQYmFWC0FAEA7EZhPr6yE568kqaJzDxdtNkVkvsdW3jYbFtQ1JE2zAvNsYQ6QKdHrlu1aoVnJ2d4ebmhj59+mDDhg3IzMxU65i1a9cutO3gwYNo0aIFHBwcUKlSJfTp0wdPnjx56/dKTU1FfHw86tdXLrCgr6+POnXqvHHf0NBQmJmZqTxCQ0PfvkBFOHbkIHp+3k7xyHv+XK3jkVL4zr8Qeeocfh49EKIKhRfdy8t7jpBFv0Mul2P81z20kMM3Y/sgopJi3CAiej/JZHKtPT5EOj1yXalSJZw/fx5Hjx7FX3/9hUmTJmHKlCk4c+YMzM3N3+mYJiYmKs/v3LmDTz/9FEOHDsVPP/0ECwsLnDhxAgMGDEBOTg6MjY0hFAoLTW3Izc1912KpCAkJwejRo1W2iUQi3HqQXMweb1avfkOVlVdzc/MX/JBKJLCwsFRsT5VK4OpW9IqKlUzNIBQKIX3lV+FUqQRii/xFM8RiMfLycpGenq4yOimVSCB+5ZdJXWFuWhF6QmGhxctSUtNgaW762n3X7T6INbsiseSHYHg6OxR6/WXHOiFZgqU/DtfZUWu2j6KZFlMmaYEyvcpcbFFoIRapVAKxWFkHQOG6lUolcHVzL83slzrWhxLrQnNx433DtqGK9aGe7MRkiGxU724jsrFCbupTyLKykZMsgSwvD6LKlq+ksUR2wrt/b9SE17UNc4uivxOYi8VFtA2pom0Q6SKdHrkG8keAW7ZsiTlz5uDSpUu4c+cODh8+XGrHP3fuHGQyGebNm4cGDRrAOJ2riQAARvNJREFUy8sLjx49UkljbW2NhIQElQ52wftmm5mZwc7ODv/9959iW15eHs6dO/fG9xeJRDA1NVV5qDst3MjYGHb2DoqHUxUXiMUWuHTxvCJNZmYGrsdGw9u36AVjDAwM4O7hpbKPTCbDpajz8H6xyIy7pxf09fVxKUqZ5uGDe3j8OAnevlXVKkNZMdDXh4+rk2IxMiC/XGeuXkd1T9di91u7KxK/b9uPxeOHwc/dudDrLzvW9xIeY8mEYJhX0t3bxrB9FE1ZpguKbflluqAo06u8ffxUygcAURfOKdLb2NqVuG51BetDiXWhubjxvmHbUMX6UI/03yhYNm+gss2qRUNI/o0CAMhzc5F6/iqsmgcqEwgEsGwWCOm/F6DLDAwM4OHhhYuFzv8L8Cmmbfj4+OFSlGq5oi6cKzY9kS7Q6ZHr3bt349atW2jSpAnEYjH27t0LmUwGb2/vN+/8ljw8PJCbm4uwsDB06NBBZaGzl5o2bYrHjx9jzpw56Nq1K/bv3499+/bB1FQ50jly5EjMmjULnp6e8PHxwfz58yGVSkstn+oQCATo0KkL/ty0Hvb2DqhsY4eN61bDwtIK9QOVt3eYGDIGDRo2RvsOnQEAHTt3w6L5s+Dh6Q1PLx9E7NyKrOwstGjVBkD+giItW7fF6pVLUalSJRgZm2Dl8sXw9vXT6S9Kvdo3x9Rl6+DrVgVVPVzwx74jeJadjQ4f53+gTV66FtZiMwR/0REAsGZXJFb8uQczgr+CnbUlkqVpAABjQxGMDUXIy3uOcQt/Q8zt+1gwdgiey+SKNGYVjWFQxG3gdAnbh1LHzl2xaP5seHh6qZSpZav8OwssmDsLlpZW6Nv/GwBAh46fY8K4b7Fj22bUqdsAx48dQdyN6wganj8bJb9uP8fmTRtgZ+8IGxtbRd02KFC3uor1ocS6UFVWcQMAJCkpkEhSkPDoIQDg7p1bMDIyhnXlyqhU6fUzjLSBbUMV60NJz8QYJh5VFM+NXR1hWtMHOSmpyLofD+8Zo2HoYIOL/ccBAO7+ugnOw3rDJ/R73A/fCqtmDWDXrS3OfDZYcYzbC1ej5qrZkJ67gtQzl+Ay4ivomxjh/pptGi9fSXXs3AUL58+Bh6c3vLy8sWvnNpXzf8HcWbCwtMJXBdrGD+NGY/u2P1G3bn38fewIbt64jqDh3yqO+fRpGh4nJSElJf869IcP8q/fFost3tsZMaXtQ11YTFt0+lu/ubk5tm3bhilTpiArKwuenp74448/ULVq6Y161axZE/Pnz8fs2bMREhKCJk2aIDQ0FH379lWk8fX1xdKlSzFz5kxMnz4dXbp0wXfffYdff/1VkWbMmDGIj4/HV199BaFQiK+//hqdO3dGampqqeVVHZ279kRWVhaWhs1HRno6fKtWx6Rps1ChQgVFmoT4R0grkN/GHzdDapoUf6xbDYkkf/rV5GmzYV5gOs7Xg4IgEAgx+6cpyM3NRUDtOhg8bJQmi1ZirQNrQ5qWjhVb9uCJ9Cm8nB2weHyQYlp4QnIKBAKBIv3WyOPIzcvDuIW/qxxnYJe2GNS1PZIkUvx97jIAoPf4WSpplk8cgdp+XmVcIvWxfeT76ONmSEtLxcZ14QXKNEtRpuTHSRAKlW3D168qxoydgPVrV2Fd+CrYOzggZOI0OLsoZ0F8XkTdTp4WqlK3uor1ocS6KKys4sb+vbvwv41rFc8njB0FABj+7ViVTriuYNtQxfpQMqtdDYGH1ime+839AQBwf+02XBoQApGdNYyc7BSvP7vzAGc+Gwy/eSFwGd4XWQ8ScHnwj0iOVN5yLP7PfahgbQGvySMgsrVG2sVonP70G+S8ssiZLvro42ZILdA23NzcMWVaqGLq/+PHSRAIlZNq89vGD9iwdrWibfwwcapK2zj97yksWvCz4vnPs38CAPTs1Qe9vvxKQyUjUhLI+XOGToqOe6jtLOgEX3cHpJ2P1HY2dIZprVZsGwX4ujsgJu6BtrOhE3zcHVkXBbA+lHzcHRk3CmDcUMVzRcnH3RF7DEpvduT7rn1uLGLjil7J+0Pk7e6k7Sy8kwHTH2vtvX+faK2199YWnb/mmoiIiIiIiEjX6fS08OLcu3cPfn7FX7N57do1VKlSpdjXiYiIiIiIyjv5B3pLLG15LzvX9vb2Kqt1F/U6ERERERERkaa8l51rfX19eHgUfR9NIiIiIiIiIk17LzvXRERERERE9Hoyrl2tUVzQjIiIiIiIiEhNHLkmIiIiIiIqh7igmWZx5JqIiIiIiIhITexcExEREREREamJ08KJiIiIiIjKITkXNNMojlwTERERERERqYkj10REREREROWQjAuaaRRHromIiIiIiIjUxJFrIiIiIiKicoi34tIsjlwTERERERERqYmdayIiIiIiIiI1cVo4ERERERFROcRbcWkWR66JiIiIiIiI1MSRayIiIiIionJILpNpOwsfFI5cExEREREREamJnWsiIiIiIiIiNXFaOBERERERUTkk432uNUog5xJyRERERERE5U6P7+5q7b3/N9dZa++tLRy51lHRcQ+1nQWd4OvugCs3E7SdDZ1RzcMWMXEPtJ0NneHj7ohrNx9pOxs6wc/DnnGjAF93B1yPu6ftbOgEL/cqjBsFMG6oYuxQ8nV3QGzcfW1nQ2d4uzthj4G3trOhM9rnxmo7C++kPI6jpqSkYPjw4YiIiIBQKESXLl2waNEiVKxYscj0d+7cgaura5Gvbd68Gd26dQMACASCQq//8ccf6Nmz51vnjZ1rIiIiIiIiei/07t0b8fHxiIyMRG5uLvr3749BgwZh48aNRaZ3cnJCfHy8yrZff/0VP//8M9q2bauyffXq1WjTpo3iubm5eYnyxs41ERERERFROSQvZ9dcR0dHY//+/Thz5gzq1KkDAAgLC0O7du0wd+5c2NvbF9pHT08Ptra2Ktu2b9+O7t27FxrtNjc3L5S2JLhaOBEREREREZWq7OxspKWlqTyys7PVOuapU6dgbm6u6FgDQMuWLSEUCvHff/+91THOnTuHqKgoDBgwoNBrQUFBsLKyQr169bBq1aoST6tn55qIiIiIiIhKVWhoKMzMzFQeoaGhah0zISEBlStXVtmmr68PCwsLJCS83TpNv//+O3x9fdGwYUOV7dOmTcPmzZsRGRmJLl26YNiwYQgLCytR/jgtnIiIiIiIqBzS5rTwkJAQjB49WmWbSCQqMu348eMxe/bs1x4vOjpa7Tw9e/YMGzduxMSJEwu9VnBbQEAAMjIy8PPPP2PEiBFvfXx2romIiIiIiKhUiUSiYjvTrxozZgz69ev32jRubm6wtbVFUlKSyva8vDykpKS81bXSW7ZsQWZmJvr27fvGtPXr18f06dORnZ391uVg55qIiIiIiKgcksll2s7CW7G2toa1tfUb0wUGBkIqleLcuXOoXbs2AODw4cOQyWSoX7/+G/f//fff8dlnn73Ve0VFRUEsFr91xxpg55qIiIiIiIjeA76+vmjTpg0GDhyI5cuXIzc3F8HBwejZs6dipfCHDx+iRYsWWLt2LerVq6fY9+bNm/j777+xd+/eQseNiIhAYmIiGjRoAENDQ0RGRmLmzJn47rvvSpQ/dq6JiIiIiIjovbBhwwYEBwejRYsWEAqF6NKlCxYvXqx4PTc3F7GxscjMzFTZb9WqVXB0dETr1q0LHdPAwABLlizBt99+C7lcDg8PD8yfPx8DBw4sUd7YuSYiIiIiIiqHytt9rgHAwsICGzduLPZ1FxeXIm+hNXPmTMycObPIfdq0aYM2bdqonTfeiouIiIiIiIhITRy5JiIiIiIiKofK48i1LuPINREREREREZGaOHJNRERERERUDhV17TGVHY5cExEREREREamJnWsiIiIiIiIiNXFaOBERERERUTkkk8m0nYUPCkeuiYiIiIiIiNTEkWsiIiIiIqJyiLfi0iyOXBMRERERERGpiZ1rIiIiIiIiIjV9UNPC+/XrB6lUih07dqhsP3r0KJo1awaJRAJzc3Ot5K2syf/f3p3H1ZT/fwB/3XbShihG2rNm3/cYY5gysmSQkjH2Ug3iN9Z8R4xtiGHGWmaEsY0xNMgSM8MgZVfKOhGtKtFyf3+km9utSLnn1nk9H48ej+45p3qfT+fzufdzPp/P+0il2LF9K44eOYSMjHQ0atIMEyZPQ736H5X6c38c3I99e3YiJTkJ5hZWGDdxKmztGsv2v3r1Clt++gFnTp9AdvYrtGzdDhMme8HQqOaHPqVykUqlCNm+GcdCf0dmRjrsGjfHV5N93loeh3/fhwN7QmTlMXaCF2xel8fz52nYuX0zIiMu4NnTJ9A3MET7jl0x3HUsdHVrKOO03suhg/uxf88uJL8+p68mToWtXaMSjz8bfgo/B29BwpPHqFfvI4z2GIe27TrI9v99NhxH/jiIOzG38fz5c6xcswGWVtbKOJUKkV9XtuBY6Ou60rgZxk/2fntd+X0f9r9RV76c4ClXV/48fBCnTx1HbEw0XrzIxPadB6FbQ3WviwJsOwodOngAe/fsRnJyEiwsrDB+4uRS68qZ8FPYHrztdV2pD3ePL2V1JScnB9uDtuDCv+fx+PFj6OpWR4uWreE2Zixq1aqtrFMql4puO6RSKX7ZvhVHj/whu9YmTvZ667WmKth2FGK7Ie/QwQPY97quWFhY4auJU97advwcvFXWdrgVqSt/nQ3HkT9+l73PrlqzvlK8z9bs2haWvmNh0LoZdOrVwYXBk/Dkt+Ol/0z39miyzA81mtgg60E8Yhb/gIdB++SOaThxBCx9xkLbxBhpUTdxbZo/Uv+98iFPpVKRSpnQTJk4cq0k2dnZgv79fb+G4Pff9mLCFG8sXbkWOjo6WDBnJl69elXiz5w5dQKbf/oBw0eMxoo1G2BuaYUFc2YiJSVZdszmH9fi3/N/Y/qsuVi0ZBWSkxIRsGieMk6pXPb/ugN/HNyL8ZN9sXjFeujo6MB/ztd49epliT9z9nQYtv60FsNGuOG71T+hoYUV/Od8jdTX5ZGc+AxJSYkYPXYiVq7biinesxBx8TzWfb9UWadVZuGnTmDzT+vhMmI0VqxZDwtLK8wv8j9+043r17BsySL06fspVq7ZgA6dumCx/1zcuxsnOyYrKwuNmzbD6DHjlHUaFWrfryE4dHAvxk/2xpIV66Cto4OFc2aUXldOh2HLTz/AZYQblq/+EeYWVlg4Z4ZcOb58+RKtWrfH4GEjlXEaFYZtR77wUyex8acN+GLEKKxa8wMsLC0xd86sUuvKd0u+Rd++/fD9mh/QsVMX/M9/vqyuvHz5EndiYuDyxSisWrMOs76Zh0cPH2LRgrnKPK339iHajr2/huDQb/swcco0fLcyEDo6Opg/x6/Ua02VsO0oxHajUPipE9j003oMH+GKlWvWw9zSEvPm+L2lrvwPH/fth1Vr1qNDpy741n+eXF15mZWFJk2bwa2Svc+q61ZHWtQtXPVc8E7HVzP/CO1+24DEk+dwpu1AxK3ZhuYbFqH2x11lx5gO/RSNv5uF6EVrcab9IDyPuokOhzZBy1i1b7hQ1cXOdTH27NmDpk2bQltbG+bm5li+fLncfolEojD6bWhoiK1btwIA7t69C4lEgp07d6JHjx7Q0dHBzz//rKToFUmlUhzcvwfDho9Ch05dYG5hBS9fPyQlPsO5v8+U+HMH9u1G33790bvvp2hgZo6JU7yhra2N438eBgBkZKTj2J+H4TFuIuxbtoa1jS2mes/AzRvXcOvmdWWdXplJpVL8fmA3hri4on2nrjC3sMJU39lITkrE+VLK4+C+XejT7zM4fNwfDczMMX6KL7R1dHD8zz8AAGbmlpjxf/5o16ELTEzro3mL1hgx+ktcOPcXcnNzlHV6ZXJg36/o268/+vTtBzMzc0ycMg3a2to49ueRYo8/eGAvWrdpB+chLmhg1hAjR4+BpZUNDh3cLzumV++PMXzEaLRo1UZJZ1Fx8q+NXzHUxRUdXl8bXr6zkJRUel35bd9ufNxvAHp/nF9XJkzxeX1tHJYd4/j5EAweNgJ2jZoo41QqBNuOQvv37cEn/T59XVcaYtIUL2hra+Pon6HFHv/bgX2v68owNDBriFGj3WFlZY3fDx4AAOjq6sL/2yXo1r0HPvqoARo1aoLxk6YgJiYaCQkJyjy191LRbUf+tbYXQ9+41qb5zkRS4jP8U8q1pirYdhRiuyHvwL49b9SVhphUxroyavQYWFpZ49DrtgMoeJ91RYtWrZV1GhXiaehp3J63Ck8OHHun4xt+NRwv4h7ixowlSL8Zi3vrfsbjPaGw8HKXHWMxbQwebNqFh9v2Iv3GHVyZNA+5mVlo4D74A51F5SPNkwr2JUbsXBdx8eJFDBs2DMOHD8eVK1cwf/58zJkzR9ZxLgs/Pz94eXnhxo0b+OSTTyo+2Hf05HE8kpOTYN+ysLOjq1sDtnaNcetG8W9I2dnZuBNzW+5n1NTU0KJlG9mb2J3o28jJyZE75qMGZjA2roNbN659oLMpvyeP45FSTHnY2DXGrZvFx11Sedi3bIPbJfwMAGRmZqB69epQV1e9FRgF59SiZeGbc/7/uHWJH1Ru3byu0Glu1aatSn+wKYuCutLiPa6NFgrXRusSf6ayYNuRLzs7GzHF1JWWpdSVmzevo2WRD76t2rTFzZs3Svw7mRkZkEgkqFFDt2IC/0A+RNtRWPcKf+fbrjVVwrajENuNQgVtR8ti6srNUtqOop3m1m3alXh8VWbYsSWehf0tt+3p0TMw6tgSACDR1IRB66Z4dvyvwgOkUjwL+wuGHVspMVKiQqr3if8D+/3331GjyFql3Nxc2fcrVqxA7969MWfOHACAra0trl+/ju+++w7u7u5l+lvTpk2Ds7Nzqce8fPkSL1/KT0XW1tYu0995m5TkJACAoZGR3HYDQyMkv95X1PO0VOTl5RX7Mw8f3AcAJCcnQ0NDU6E8DY2MkJxc/HQnVVBYHvJThgwMjWT7isovj1wYGiqWx6PX5VFUWmoKdu8IQp9+jhUQdcVLK+F/bGhohIcPHhT7MynJSQplYFjKdVTZFPz/DYopk9KvjTwYFFMuJV0blQXbjnwFdcWoTHVFMYdHadfRq1evsHXLRnTv0QvVq6t25/pDtB0F//fifqcqXhNFse0oxHajUGl15VGpbUfR4w2rzPtsWWjXrY2XT57JbXv55Bk0DfSgpqMNTSMDqGlo4GVCYpFjEqFrZ6nMUIlkRDdy3atXL1y+fFnua+PGjbL9N27cQJcuXeR+pkuXLoiOjpbrhL+Ltm3bvvWYxYsXw8DAQO5r8eLFZfo7RZ06cQzDnfvLvnLKGHdVc/rEUYwc3E/2pYwp2pmZGfh2vh8amDWEy8gxH/zv0fs5deIovhj8qewrR0Wn7ysL2w5h5OTkYMlif0ilUkya4il0OPQO2HYUYrtBpNo4LVy5RDdyraurC2tr+YyKDx8+LNPvkEgkkErlL5jiEpbp6r599GHWrFnw8fGR26atrY3Yh89K+Im3a9+hs1x2zezs/AQiKcnJqFmzlmx7akoyLCyLzy6pp28ANTU1pBS5G5yakgyjmvkjvkZGRsjJyUZ6errcneSU5GSFER4htevQRZbRGyj8X6UkJ8GoSHmYl1oe6goJSFJTkhVGwF9kZmLRnOnQqVYdM75ZBA0N1axm+iX8j1Pe+B8XZWhUU6EMUlKSYaTimVpL0r5DF9jaFa5jLKgrqUXqSso71JXUYspF1TPYFsW2o3gFdaXo6Fh+XSk+XkMjI6SkpCgcX/SayO9YL0JCQgL+t/g7lR+1Bj5M21Hwfy96reXXPauKDL9CsO0oxHajZKXVFcNS246ix6dU2vfZ8nj55Bm068o/PUG7bm1kpz5HXtZLvHqWjLycHGjXqVXkmFp4+fj9P0cTlYfoRq7fpnHjxjh79qzctrNnz8LW1hbq6uoAAGNjY8THx8v2R0dHIzMz873+nra2NvT19eW+yjstvFr16jCtV1/21cDMHEZGNREVeUl2TGZmBm7fugG7xsUnSNHU1ISVta3cz+Tl5SHq8iVZUhUrG1toaGgg6nLhMY8e3sfTpwmwa9y0XOdQkfLL4yPZVwMzcxga1cSVIuURfesG7BoVH3dBeVy5fFG2raA8bN/4mczMDCyc4wsNTU3MmvsttLQqdop/RSr8H0fItuWfU0SJiXPsGjWR+38DwOWIi5Um0U5R71pX3uXaeLNc8vLycOXypRJ/RlWx7SiepqYmrIupK5Gl1JVGjZog8nKE3LbLEZfQqFFhJ6SgY/3ff4+w6Nsl0NfX/zAnUME+RNtR18S0zNeakNh2FGK7UbKCtiNS4bwi0KiUtiNKoe24WOLxVVnKP5dRy6Gj3LbavTsj+Z/LAABpdjZSL11DbYdOhQdIJKjVqxNS/pEvQzHLk+YJ9iVGqjmkJiBfX1+0a9cO/v7+cHFxwd9//43AwECsW7dOdoyDgwMCAwPRqVMn5ObmYubMmdDU1BQw6tJJJBI4fj4Yu0O2o169+qhT1xS/BG9BzVq10aFT4eMM5szyRcfOXTHAcRAAYOCgofh+RQCsbexgY9sIBw/sQdbLLPT+uB+A/AQlffp+ii0/rYOenh6qVdfFT+tXw65xE5XubEkkEnw2cCh+DQmCab2PUMfEBDuCN8OoZi20f6M85s/2RvtO3dDfMX/dvOOgYVizYjGsbBrBxrYRfj/wK15mvYDDx58CeN2x/uZrvHyZBa+vv0FmZgYyMzMAAPoGhrKbM6pk4KAh+H7FEljb2Mr9j/t8nJ+Ab+WyANSqVRujx3wJAHAc6Iz/m+mN/Xt3oW27jgg/dQJ3om9j8tTC2RfPn6fhaUICkpLy10A9epi/rszIqGaJo1qqIv/aGILdIcEwrVcfdU1M8UvwZtSsKV9X5s72QcdO3dD/dV1xGjQUq1cEwMrGFja2jfH7gV+RlVVYVwAgOSkJKclJiI9/BAC4dzcW1apVR+06daCnp5qdKrYdhT4fNBgrVyyFtY0tbG3tcODAPrm6smLZEtSqVRtuY8YCAJwGDsKsmb7Yt3c32rbrgPBTJxETfRtTpk4DkN+xDvh2Ie7ExGDufH/k5eYhOSl/TWUNPT2Vfk8BKr7tyL/WnLEr5GeY1vsIdeuayK61jm9ca6qKbUchthvyBg4ajFUrlsLaxg62tnb47cBeufNauSwANWvVhtsbdWX2TB/s27sb7dp1wOlTJxATfRuTp3rLfmdlfZ9V160OXWsz2evqFh9Bv0UjvEpKRdaDeNgt8oFO/bqIHDMTAHDvxxA0nDQSjRZPx4Ote1C7V0eYDv0U/zqNl/2OuFVb0GLzEqRcvIrUf6Ng7ukGDd1qeLBtr9LPjwhg51pB69atsWvXLsydOxf+/v4wNTXFwoUL5ZKZLV++HGPGjEG3bt1Qr149fP/997h48WLJv1QFDBoyHFlZWVi3ZgUy0tPRuGlzzF0YAC0tLdkxj+P/Q1pqqux11x69kJqWgh3BW5CcnD81b97CJXLT1Ty+mgyJRA1L/jcf2dnZaNWmLcZPmqbMU3svnw/5AllZL7B+zTJkZKSjUZPmmOP/ndxI8+P4//A8rbA8unR3QGpqCkK2b0ZKchIsLK3xzcLvZOURG3Mb0bfys3lO/nKE3N/7YXMI6tQ1VcKZlU23Hr2QlpaKX4K3vvE/DpCd07OnCVBTk8iOb9ykKXxn/B+2B21G8NbNqFe/PmbNWYiG5hayY87/8xdWr/xO9nrZkkUAgOEjRuOLUW5KOrP3l19XXuCHNcuRkZGOxk2aY47/EsW68sa10bW7A9JSUxGyfSuSk5NgYWmFuUXqSujh37Dzl22y1/830wsAMHXaTDi88UFa1bDtyNetR0+kpqXg5+BtSE5OhqWlFRYs/FY2HfXp0wRIitSVr2fMwvagrQjaugX16tfH/82ZL6sriYnPcO6f/Cy4nlMmyP2tbwOWobl9CyWd2fv5EG2HczHX2ryFi+WuNVXGtqMQ241C3Xr0QuobdcXS0grzFy4u0nYUTiTNryuz8XPQFlldmT1nQZH32b/x/Rvvs98t+R8AYPgIV4xQ4fdZgzbN0Ol4sOx1k2WzAQAPgvYiauwsaJsao1qDws9KL+4+xL9O49Fk+SyYTx2NrIePcWX8N3h2tPCRbvG7D0PLuCZs53lC28QYaZE3cP6zL/GqSJIzMRPr2mehSKRFFw+TSrhx55HQIaiExlb1cTXmsdBhqIxm1ia4eadsOQKqskZWH+F6zH9Ch6ESmljXY7vxhsZW9XH7TuXNuFyRbK3M2G68ge2GPLYdhRpb1cetO8Vn8RYjO6sGOKRpJ3QYKmNA9i2hQ3gvfV2FmyL/Z7D4HonGNddERERERERE5cRp4URERERERFWQNE+cicWEwpFrIiIiIiIionLiyDUREREREVEVxIRmysWRayIiIiIiIqJyYueaiIiIiIiIqJw4LZyIiIiIiKgKkkqZ0EyZOHJNREREREREVE4cuSYiIiIiIqqC8pjQTKk4ck1ERERERERUThy5JiIiIiIiqoKkeVxzrUwcuSYiIiIiIiIqJ3auiYiIiIiIiMqJ08KJiIiIiIiqICkTmikVR66JiIiIiIiIyokj10RERERERFWQVMqEZsrEkWsiIiIiIiKicmLnmoiIiIiIiKicOC2ciIiIiIioCmJCM+XiyDURERERERFROXHkmoiIiIiIqAqS5jGhmTJx5JqIiIiIiIionCRSqZQT8UnOy5cvsXjxYsyaNQva2tpChyM4loc8lkchloU8loc8lkchloU8loc8lkchloU8lgdVNuxck4K0tDQYGBggNTUV+vr6QocjOJaHPJZHIZaFPJaHPJZHIZaFPJaHPJZHIZaFPJYHVTacFk5ERERERERUTuxcExEREREREZUTO9dERERERERE5cTONSnQ1tbGvHnzmDjiNZaHPJZHIZaFPJaHPJZHIZaFPJaHPJZHIZaFPJYHVTZMaEZERERERERUThy5JiIiIiIiIiondq6JiIiIiIiIyomdayIiIiIiIqJyYueaiIiIiIiIqJzYuSYiIiIiIiIqJ3auiYiIiIiIiMqJnWtSkJ6ejrS0NLkvsTl9+jRycnIUtufk5OD06dMCRCS8hIQEhIeHIzw8HAkJCUKHQ0RERFVMTk4OgoKC8OTJE6FDIXov7FwTACAuLg4DBgyArq4uDAwMYGRkBCMjIxgaGsLIyEjo8JSuV69eSEpKUtiempqKXr16CRCRcJ4/fw5XV1fUr18fPXr0QI8ePVC/fn2MGjUKqampQocnCA8PDzx//lxhe0ZGBjw8PASIiFRFcnIyli1bhrFjx2Ls2LFYtmxZsW2JmMTExCA0NBQvXrwAAEilUoEjEsbChQuRmZmpsP3FixdYuHChABERqR4NDQ1MmDABWVlZQodC9F4kUrG+y5GcLl26QCqVwsvLC3Xr1oVEIpHb36NHD4EiE4aamhqePHkCY2Njue23b99G27ZtRTWa7+LigoiICKxZswadOnUCAPz999/w8vJCy5YtERISInCEyqeuro74+HjUqVNHbvuzZ89gYmJS7KyHqmrQoEEK7QUASCQS6OjowNraGiNGjICdnZ0A0SnX6dOn4eTkBH19fbRt2xYAcPHiRaSkpODgwYPo3r27wBEqV2JiIlxcXBAWFgaJRILo6GhYWlrCw8MDRkZGWL58udAhKlVJ7UZiYiLq1KmD3NxcgSITho+PT7Hb32w7Bg4ciJo1ayo5MuVwdnZ+52P37t37ASNRPT179oS3tzcGDhwodChEZaYhdACkGiIjI3Hx4kVRfAAuTcGbnUQigbu7O7S1tWX7cnNzERUVhc6dOwsVniB+//13hIaGomvXrrJtn3zyCX766Sf069dPwMiULy0tDVKpFFKpFM+fP4eOjo5sX25uLv744w+FD85VnYGBAfbv3w9DQ0O0adMGAHDp0iWkpKSgb9++2LlzJ5YsWYLjx4+jS5cuAkf7YU2ePBnDhg3DDz/8AHV1dQD518WkSZMwefJkXLlyReAIlcvb2xsaGhq4f/8+GjduLNvu4uICHx8f0XWupVJpsTeiIiMjq2wHsjQRERG4dOkScnNzZZ89bt++DXV1dTRq1Ajr1q2Dr68vzpw5gyZNmggcbcUzMDCQfS+VSrFv3z4YGBgo3JgrSye8qpg0aRJ8fHzw4MEDtGnTBrq6unL77e3tBYqM6O3YuSYAQLt27fDgwQPRd64L3uykUin09PRQrVo12T4tLS107NgR48aNEyo8QdSqVUvuQ0CBguUDYmJoaAiJRAKJRAJbW1uF/RKJBAsWLBAgMuGYmJhgxIgRCAwMhJpa/kqjvLw8eHl5QU9PDyEhIZgwYQJmzpyJM2fOCBzthxUTE4Nff/1V1rEG8kcrfXx8EBQUJGBkwvjzzz8RGhqKjz76SG67jY0N7t27J1BUymdkZCTXbrzZwc7NzUV6ejomTJggYITCKBiV3rJlC/T19QHkL7368ssv0bVrV4wbNw4jRoyAt7c3QkNDBY624m3ZskX2/cyZMzFs2DCsX79e4cZcQdmIyfDhwwEAnp6esm0SiUR2g0psszyocuG0cAIA3LlzBxMmTMCoUaPQrFkzaGpqyu0X213CBQsW4Ouvv1a4WypGP/74I3bv3o3g4GCYmJgAAB4/fgw3Nzc4Oztj/PjxAkeoPKdOnYJUKoWDgwP27NkjN9qkpaWFhg0bol69egJGqHzGxsY4e/asws2G27dvo3Pnznj27BmuXLmCbt26ISUlRZgglaRLly6YPn06Pv/8c7nt+/fvR0BAAP755x9hAhOInp4eLl26BBsbG+jp6SEyMhKWlpa4cOECPvnkEyQmJgodolJs27YNUqkUHh4eWLVqldzNSi0tLZibm8uW3IhJ/fr1cfToUYVR6WvXrqFv37549OgRLl26hL59++LZs2cCRakcxsbGOHPmjMIAx61bt9C5c2fR1JUCb7v51rBhQyVFQlR2HLkmAMDTp09x584djBkzRrZNzHcJ582bJ3QIKuOHH35ATEwMzMzMYGZmBgC4f/8+tLW18fTpU2zYsEF27KVLl4QKUykKcg/ExcWhQYMGspFaMcvJycHNmzcVOtc3b96UtRs6OjrFToetajw9PeHl5YWYmBh07NgRAPDPP/9g7dq1CAgIQFRUlOxYMdyw7NatG4KCguDv7w8g/z0lLy8PS5cuFVViSDc3NwCAhYUFOnfurHDzWqxSU1ORkJCg0Ll++vSpLK+JoaEhXr16JUR4SlXQjhbtXN+8eRN5eXkCRSUcdp6pMmPnmgDkZz9u1aoVduzYUWxCM7FJTEzE3LlzceLECSQkJCi8uYkp+2/RUTgqfOPPzMzE/fv3FT78iaHjVMDV1RVjx47F7Nmz0a5dOwDAv//+i2+//RajR48GkD/i37RpUyHDVIovvvgCADBjxoxi94nthuXSpUvRu3dvXLhwAa9evcKMGTNw7do1JCUl4ezZs0KHp3RvJgbNyspSaDfENv134MCB8PDwwPLly+Xajq+//lr2vnP+/Plil+BUNWPGjMHYsWNx584dtG/fHgBw7tw5BAQEyA16iMXbltEUvLcQqSJOCycAgK6uLiIjI2FtbS10KCqhf//+iImJwdixY4u92VAwEkHi9PTpU4wZMwaHDx8udr8YOk4FcnNzERAQgMDAQNlzSevWrYupU6di5syZUFdXx/3796Gmpqaw9raqKcs6YrGMzKSmpiIwMBCRkZFIT09H69atMXnyZJiamgodmtJlZmZixowZ2LVrV7HTfMXUbgBAeno6vL29ERQUJHvCgoaGBtzc3LBy5Uro6uri8uXLAICWLVsKF6gS5OXlYdmyZfj+++8RHx8PADA1NYWXlxd8fX3l8jiIQdF8LtnZ2cjMzISWlhaqV68uqgEOqnzYuSYAgKOjI9zd3TF48GChQ1EJenp6OHPmDFq0aCF0KKSCRo4ciXv37mHVqlXo2bMn9u3bhydPnmDRokVYvnw5BgwYIHSIgiiYyim2ETiidzF58mScOHEC/v7+cHV1xdq1a/Ho0SNs2LABAQEBGDlypNAhCiI9PR2xsbEAAEtLS9SoUUPgiITFdrR40dHRmDhxIqZPn45PPvlE6HCISsTONQHIT1q1aNEieHh4oHnz5gprwpycnASKTBjt2rXDmjVrZOsmxaZmzZq4ffs2ateuLct0WxIx3kE2NTXFgQMH0L59e+jr6+PChQuwtbXFb7/9hqVLl1b5rNhUsjt37mDVqlW4ceMGAKBJkybw8vKClZWVwJEJIysrC1FRUcUurxHb+4qZmRmCgoLQs2dP6Ovr49KlS7C2tkZwcDB27NiBP/74Q+gQiVTahQsXMGrUKNy8eVPoUIhKxDXXBACyx4AsXLhQYZ9Y1ge+ad26dfDz88PcuXOLzZ5e1e8or1y5Enp6egCAVatWCRuMCsrIyJA9z9rIyAhPnz6Fra0tmjdvXuWTuhX15MkTfP311zh+/DgSEhJQ9H6tmNqO0NBQODk5oWXLlrJnep89exZNmzbFwYMH8fHHHwscoXIdOXIEo0ePLjbTsxjfV5KSkmBpaQkg/z2k4MZk165dMXHiRCFDE0RGRgYCAgJkbUfRmy8Fo9liYGFhUepNbDGVRWk0NDTw33//CR0GUanYuSYAEGU2ytIYGhoiLS0NDg4OctvFkozozTXl27ZtQ48ePRQyqCcnJ2Pw4MGiXH9uZ2eHW7duwdzcHC1atMCGDRtgbm6O9evXi24tqbu7O+7fv485c+bA1NRU1MkQ/fz84O3tjYCAAIXtM2fOFF3neurUqRg6dCjmzp2LunXrCh2O4CwtLREXFwczMzM0atQIu3btQvv27XHw4EEYGhoKHZ7Sffnllzh16hRcXV1F33ZMmzZN7nV2djYiIiJw5MgRTJ8+XZigBPTbb7/JvZZKpYiPj0dgYKDsxiWRquK0cKJitG/fHhoaGvDy8io2odmbWV+rOjU1NdSqVQtdunTBzz//LHv295MnT1CvXr0qf6OhONu3b0dOTg7c3d1x8eJF9OvXD4mJidDS0sK2bdvg4uIidIhKo6enh/Dw8CqfcOhd6Ojo4MqVK7CxsZHbfvv2bdjb2yMrK0ugyIShr6+PiIgI0U6JL2rlypVQV1eHp6cnjh07BkdHR0ilUmRnZ2PFihXw8vISOkSlMjQ0xKFDh9hZKsXatWtx4cIFbNmyRehQlKroYy4lEgmMjY3h4OCA5cuXi+4mNlUuHLkmAMVPB3/T3LlzlRSJarh69SoiIiIUnjkpVseOHcP48ePRsWNHHDx4EObm5kKHJKhRo0bJvm/Tpg3u3buHmzdvwszMDLVr1xYwMuVr0KCBwlRwsTI2Nsbly5cVOteXL1+WLSMQkyFDhuDkyZPsXL/m7e0t+75Pnz64efMmLl68CGtra1E9vq+AkZERatasKXQYKu3TTz/FrFmzRNe55mxKqszYuSYAwL59++ReZ2dnIy4uDhoaGrCyshJd57pt27Z48OABO9evmZqa4tSpUxgzZgzatWuH3bt3o3HjxkKHpVQ+Pj7vfOyKFSs+YCSqZdWqVfDz85NNjRezcePG4auvvkJsbCw6d+4MIH/N9ZIlS8p0/VQVgYGBGDp0KMLDw4tNlOnp6SlQZKqhYcOGonkkW3H8/f0xd+5cbNu2DdWrVxc6HJX066+/iv4GRMHNWzEvG6DKhdPCqURpaWlwd3fHoEGD4OrqKnQ4SrV7927Mnz8f06dPL/ZDoZhGGdTV1REfHy8beVu0aBEWLVqEmTNnYtGiRaKZFt6rV693Ok4ikSAsLOwDR6M6jIyMkJmZiZycHFSvXl2hrogpm7xUKsWqVauwfPlyWdKdevXqYfr06fD09BTdh8NNmzZhwoQJ0NHRQa1ateTOXyKRiCJJ0+rVq9/5WLHdbGjVqhXu3LkDqVQKc3NzhbZDTMkhW7VqJVc/pFIpHj9+jKdPn2LdunX46quvBIxOGEFBQfjuu+8QHR0NALC1tcX06dNF93mUKh92rqlUV65cgaOjI+7evSt0KEpVdL3Pm8SQ0OxNampqePz4sdy01j179sDNzQ0vXrwQVVmQom3btpW6X4wJ7wDg+fPnACDLui9GJiYm8PT0hJ+fX6ltalVmYWHxTseJ5WbDmxYsWFDq/qJJNKuyomWhpqYGY2Nj9OzZE40aNRIoKuGsWLECc+bMwZQpU2Rr8s+cOYO1a9di0aJFckssiFQNO9dUqjNnzsDR0RHJyclCh6JU9+7dK3W/mKby3bt3D2ZmZgqjbteuXcOFCxdE23kiKklCQgJu3boFAGjUqBGMjY0FjkgYNWvWxL///ss110RUJhYWFliwYAFGjx4tt33btm2YP38+4uLiBIqM6O3YuSYAilPXCh57EBwcjB49euCXX34RKDJhXb9+Hffv38erV69k2yQSCRwdHQWMiki15ObmYv/+/bhx4wYAoGnTpnBycoK6urrAkSnX8+fPMWnSJOzYsUOWkEddXR0uLi5Yu3YtDAwMBI5Quby9vWFsbIzZs2cLHUqloq+vj8uXL8ueiV3VXbx4Ua7taNWqlcARCSsrK0vuMweQf02IiY6ODq5evQpra2u57dHR0WjevLnonrxAlQsTmhGA/EeEvKlgSpKbmxtmzZolUFTCiY2NxaBBg3DlyhVIJBKFhBqcCk2ULyYmBv3798ejR49kCQAXL16MBg0a4NChQ6Iatfzyyy8RERGBQ4cOoVOnTgCAv//+G15eXhg/fjxCQkIEjlC5cnNzsXTpUoSGhsLe3l5hTa2YEv+VhVjGPBISEjB8+HCcPHlS9pzvlJQU9OrVCyEhIaKa8ZGRkYGZM2di165dSExMVNgvts8c1tbW2LVrl8KNuZ07dyo8jYFI1XDkmqgYjo6OUFdXx8aNG2FhYYFz584hKSkJvr6+WLZsGbp16yZ0iEQqoX///pBKpfj5559lWW0TExMxatQoqKmp4dChQwJHqDy6uroIDQ1F165d5baHh4ejX79+yMjIECgyYZSWBFBsif/KQk9PD5GRkVV+5NrFxQWxsbEICgqSPX3i+vXrcHNzg7W1NXbs2CFwhMozefJknDhxAv7+/nB1dcXatWvx6NEjbNiwAQEBARg5cqTQISrVnj174OLigj59+sjWXJ89exbHjx/Hrl27MGjQIIEjJCoZO9dExahduzbCwsJgb28PAwMDnD9/HnZ2dggLC4Ovry8iIiKEDpFIJejq6uKff/5B8+bN5bZHRkaiS5cuSE9PFygy5TMzM8OhQ4cUyiIqKgr9+/fHw4cPBYqMKhOxdK4NDAxw7NgxtGvXTm77+fPn0bdvX6SkpAgTmADMzMwQFBSEnj17Ql9fH5cuXYK1tTWCg4OxY8cO/PHHH0KHqHQXL17EypUrZUsGGjduDF9fX9EvGyDVx2nhBCB/SlJAQACOHz+OhIQE2XrBAmLLYpqbmyvL8lu7dm38999/sLOzQ8OGDWWJiogI0NbWlmXGflN6ejq0tLQEiEg433zzDXx8fBAcHAwTExMAwOPHjzF9+nTMmTNH4OiIVEteXp7CUgEA0NTUVPgMUtUlJSXJbqbo6+vLHmHYtWtXTJw4UcjQlCotLU32vY2NDdatW1fsMWJbg06VCzvXBCB/reCpU6fg6uoKU1NT0T2PtahmzZohMjISFhYW6NChA5YuXQotLS38+OOPVX40gagsPvvsM3z11VfYtGkT2rdvDwA4d+4cJkyYACcnJ4GjU64ffvgBMTExMDMzg5mZGQDg/v370NbWxtOnT7FhwwbZsVX1Gb7Ozs7YunUr9PX14ezsXOqxe/fuVVJUlYtY3n8dHBzg5eWFHTt2oF69egCAR48ewdvbG7179xY4OuWytLREXFwczMzM0KhRI+zatQvt27fHwYMHZevRxcDQ0PCdrn+xrUGnyoWdawIAHD58GIcOHZKtbRG7b775RrY+cuHChfjss8/QrVs31KpVCzt37hQ4OiLVsXr1ari5uaFTp06yUajs7GwMHDgQq1atEjY4Jfv888+FDkFwBgYGsg/H+vr6oukoViSxrNYLDAyEk5MTzM3N0aBBAwDAgwcP0KxZM2zfvl3g6JRrzJgxiIyMRI8ePeDn5wdHR0cEBgYiOztbVIn/Tpw4IfteKpWif//+2LhxI+rXry9gVERlwzXXBCD/mYJ//PGHLKkIKUpKSoKRkRE/LBIVIyYmRm5tXNFHqFChHTt2wMnJCbq6ukKHQirozJkzaNeuHbS1tYUO5YOTSqU4duwYbt68CSC/7ejTp4/AUQnv3r17uHjxIqytrWFvby90OIIRS/4BqlrYuSYAwPbt23HgwAFs27YN1atXFzocIlJhPj4+73ysmEZd3pVYnmPs4OCAvXv3KkxrTUtLw+effy66bOG5ubnYunVriblNxFYelC87Oxv9+vXD+vXr+ZipIti5psqI08IJALB8+XLcuXMHdevWhbm5uUKSkaq6PpCIyu5ds+VzlkfxxHJP++TJk3j16pXC9qysLISHhwsQkbC8vLywdetWDBgwAM2aNRNl/Vi9evU7H+vp6fkBI1EdmpqaiIqKEjoMIqog7FwTAK4VJKJ39+a6OKKi3uwoXL9+HY8fP5a9zs3NxZEjR0S5hjIkJAS7du1C//79hQ5FMCtXrnyn4yQSiWg61wAwatQobNq0CQEBAUKHonLEeBOKKjd2rgkAMG/evHc6jmsFiYioNC1btoREIoFEIoGDg4PC/mrVqmHNmjUCRCYsLS0t0eciiIuLEzoElZSTk4PNmzfj2LFjaNOmjcJnLLEsryn6hIGsrCxMmDBBoTz4pAFSZexcU5mMHz8eHTp04PoXIiIqVlxcHKRSKSwtLXH+/HkYGxvL9mlpaaFOnTpQV1cXMEJh+Pr64vvvv0dgYCBH48pADDkKrl69itatWwMAbt++LbdPTNeKgYGB3OtRo0YJFAnR+2PnmspELGsFiYjo/TRs2BAAFBJ2lWTAgAHYuHEjTE1NP2RYgig6EhcWFobDhw+jadOmCrlNOBpXvKr6uSMqKgrNmjWDmpoal9q8tmXLFqFDICo3dq6JiIiUqGHDhgodKzE7ffo0Xrx4IXQYH0TRkbhBgwYJFAmpmlatWiE+Ph516tSBpaUl/v33X9SqVUvosIionNi5JiIiqgBubm4YO3YsunfvXupxV69eVVJEJDSOxFFJDA0NERcXhzp16uDu3bvvPNODiFQbO9dEREQVIDU1FX369EHDhg0xZswYuLm5iTIrNhUvLi4OOTk5Cs8yjo6OhqamJszNzYUJjAQxePBg9OjRA6amppBIJGjbtm2JuQhiY2OVHB0RvS92romIiCrA/v378fTpUwQHB2Pbtm2YN28e+vTpg7Fjx2LgwIGcCi5y7u7u8PDwUOhcnzt3Dhs3bsTJkyeFCUzFVdWEXj/++COcnZ0RExMDT09PjBs3Dnp6ekKHRUTlJJFW1UwR9EE0a9YMhw8fRoMGDYQOhYhIpV26dAlbtmzBxo0bUaNGDYwaNQqTJk1S6FyJnZ6eHiIjI6t0NmggP+v1pUuXFB7HFRMTg7Zt2yIlJUWYwFScGK6PMWPGYPXq1W/tXD98+BD16tWDmpqakiIjorJi7SQAwL///otz584pbD937hwuXLgge3316lV2rImI3iI+Ph5Hjx7F0aNHoa6ujv79++PKlSto0qQJVq5cKXR4JACJRILnz58rbE9NTUVubq4AEVUOhw8frvLLK7Zs2fJOo9ZNmjTB3bt3P3xARPTeOHJNAID27dtjxowZGDJkiNz2vXv3YsmSJcV2vImIqFB2djZ+++03bNmyBX/++Sfs7e3x5ZdfYsSIEdDX1wcA7Nu3Dx4eHkhOThY4WmFJpVLZdN/Fixdj4sSJMDQ0FDaoD8zR0RHVqlXDjh07ZGtrc3Nz4eLigoyMDBw+fFjgCJUrNzcXW7duxfHjx5GQkKCQ0CssLEygyFSXGEbxiSo7rrkmAMD169fRunVrhe2tWrXC9evXBYiIiKhyMTU1RV5eHr744gucP38eLVu2VDimV69eVb4TWcDd3R1r166Frq6u3Pa7d+/C1dUV4eHhAIBZs2YJEZ7SBQQEoEePHrCzs0O3bt0AAOHh4UhLSxNlR9LLywtbt27FgAED0KxZsyq7tpqIxIWdawIAaGtr48mTJwp3Q+Pj46GhwcuEiOhtVq5ciaFDh0JHR6fEYwoevyMGkZGRsLe3x/bt29GpUycAwLZt2+Dp6QkHBweBo1O+pk2bIioqCoGBgYiMjES1atUwevRoTJkyBTVr1hQ6PKULCQnBrl270L9/f6FDISKqMFxzTQCAvn37YtasWUhNTZVtS0lJwezZs/Hxxx8LGBkRUeVw4sQJZGdnK2zPyMiAh4eHABEJ6/z583B2dkbPnj0xe/ZsDBs2DFOmTMGyZcuwb98+ocNTquzsbPTu3RsZGRn49ttvcejQIfz666+YO3euKDvWAKClpaWQ3I2IqLLjmmsCADx69Ajdu3dHYmIiWrVqBQC4fPky6tati6NHjzKJGRHRW6irqyM+Ph516tSR2/7s2TOYmJggJydHoMiENW/ePPj7+0NDQwOnTp2SjWKLjbGxMf766y9mi39t+fLliI2NRWBgIKeEvyN9fX1cvnyZa66JVBg71ySTkZGBn3/+WTZdzd7eHl988QWfzUpEVIq0tDRIpVIYGRkhOjoaxsbGsn25ubk4ePAg/Pz88N9//wkYpfJlZ2fDz88Pa9euha+vL86cOYPbt29j06ZNopwK7O3tDW1tbQQEBAgdimCcnZ3lXoeFhaFmzZpo2rSpwmeNvXv3KjO0SoEJzYhUHxfTEoD8bK1169bFV199Jbd98+bNePr0KWbOnClQZEREqs3Q0BASiQQSiQS2trYK+yUSCRYsWCBAZMJq27YtMjMzcfLkSXTs2BFSqRRLly6Fs7MzPDw8sG7dOqFDVKqcnBxs3rwZx44dQ5s2bRQSva1YsUKgyJTHwMBA7vWgQYMEikS1FSS5s7OzQ+PGjWXbr1+/jnr16gkYGRG9DUeuCQBgbm6OX375BZ07d5bbfu7cOQwfPlw0CXiIiMrq1KlTkEqlcHBwwJ49e+TW0GppaaFhw4ai/EA8duxYrF69WqETGRERAVdXV1y9elWgyITRq1evEvdJJBJRZgynfMOGDUP37t0xZcoUvHjxAi1atMDdu3chlUoREhKCwYMHCx0iEb0jdq4JAKCjo4MbN27AwsJCbntsbCyaNGmCrKwsgSIjIqoc7t27BzMzM64ffQcvX76Etra20GGQgOLi4pCTk6OwBj06OhqampowNzcXJjABmJiYIDQ0FC1atMAvv/yCefPmITIyEtu2bcOPP/6IiIgIoUMkonfEbOEEAGjQoAHOnj2rsP3s2bOiHHEhInoXUVFRyMvLAwCkpqbiypUriIqKKvZLDNLS0uS+L+nr5cuXAkYprJiYGISGhuLFixcAALGOcbi7u+Ovv/5S2H7u3Dm4u7srPyABpaamyma8HDlyBIMHD0b16tUxYMAAREdHCxwdEZUF11wTAGDcuHGYNm0asrOzZc8fPX78OGbMmAFfX1+BoyMiUk0tW7bE48ePUadOHbRs2RISiaTYzpJEIkFubq4AESqXkZGRLGN6wVr0oqRSqWjK402JiYkYNmwYTpw4AYlEgujoaFhaWmLs2LEwMjLC8uXLhQ5RqSIiItClSxeF7R07dsSUKVMEiEg4DRo0wN9//42aNWviyJEjCAkJAQAkJydDR0dH4OiIqCzYuSYAwPTp05GYmIhJkybh1atXAPKnis+cOROzZs0SODoiItUUFxcnyw7O3BSF2Z+B/Od+UyFvb29oamri/v37ckmqXFxc4OPjI7rOtUQiwfPnzxW2p6amiu7Gy7Rp0zBy5EjUqFEDZmZm6NmzJwDg9OnTaN68ubDBEVGZcM01yUlPT8eNGzdQrVo12NjYcE0cEdE7KnjqgoeHh9x2PnWBAPl1tW8+Uik2Nhb29vZIT08XOkSlcnR0RLVq1bBjxw6oq6sDyH90nYuLCzIyMnD48GGBI1Suixcv4v79++jbt68sCeChQ4dgZGSkkGyWiFQXR65JTo0aNdCuXTuhwyAiqnQ2bNiAX375RWF706ZNMXz4cFF2rlNSUnD+/HkkJCTI1qYXGD16tEBRCSMjIwPVq1dX2J6UlCTKG9kBAQHo0aMH7Ozs0K1bNwBAeHi47DFUVZ2Pjw/8/f2hq6sLHx8f2fbw8HCFY9m5Jqo82LkmIiKqAI8fP4apqanCdmNjY8THxwsQkbAOHjyIkSNHIj09Hfr6+nLrryUSieg61926dUNQUBD8/f0B5JdBXl4eli5dWupjuqqqpk2bIioqCoGBgYiMjES1atUwevRoTJkyRe5xdlVVREQEsrOzZd+XhE8fIKpcOC2ciIioAtjY2GDevHkYNWqU3Pbg4GDMmzcPsbGxAkUmDFtbW/Tv3x/ffvttsSO2YnP16lX07t0brVu3RlhYGJycnHDt2jUkJSXh7NmzsLKyEjpEpcnOzka/fv2wfv16hUdxERFVZhy5JiIiqgB86oK8R48ewdPTkx3r15o1a4Zbt25h7dq10NPTQ3p6OpydnTF58uRiZzxUZZqamqJ5PB0RiQtHromIiCqAVCqFn58fVq9erfDUhblz5wocnfI5Oztj+PDhGDZsmNChqIysrCxERUUVuwbdyclJoKiE4e3tDW1tbQQEBAgdChFRhWHnmoiIqALxqQv5Nm3ahIULF2LMmDFo3rw5NDU15faLrTN55MgRuLq6IikpSeFZ6GJ87vfUqVMRFBQEGxsbtGnTRpYhu8CKFSsEioyI6P2xc01EREQVTk1NrcR9YuxM2tjYoG/fvpg7dy7q1q0rdDiCKy2Jm0QiEUXGcCKqeti5JiIiIvrA9PX1ERERIarEZUREYsOEZkRERFThFi5cWOI+iUSCOXPmKDEa4Q0ZMgQnT55k57qImJgY3LlzB927d0e1atUglUr5+CkiqrQ4ck1EREQVrlWrVnKvs7OzERcXBw0NDVhZWeHSpUsCRSaMzMxMDB06FMbGxsWuQff09BQoMmEkJiZi2LBhOHHiBCQSCaKjo2FpaQkPDw8YGRlh+fLlQodIRFRmHLkmIiKiChcREaGwLS0tDe7u7hg0aJAAEQlrx44d+PPPP6Gjo4OTJ0/Kjc5KJBLRda69vb2hqamJ+/fvo3HjxrLtLi4u8PHxYeeaiColjlwTERGR0ly5cgWOjo64e/eu0KEolYmJCTw9PeHn51dqsjexMDExQWhoKFq0aAE9PT1ERkbC0tISsbGxsLe3R3p6utAhEhGVGVt3IiIiUprU1FSkpqYKHYbSvXr1Ci4uLuxYv5aRkYHq1asrbE9KShLt4+uIqPLjtHAiIiKqcKtXr5Z7LZVKER8fj+DgYHz66acCRSUcNzc37Ny5E7NnzxY6FJXQrVs3BAUFwd/fH0D+1Pi8vDwsXbq01Md0ERGpMk4LJyIiogpnYWEh91pNTQ3GxsZwcHDArFmzoKenJ1BkwvD09ERQUBBatGgBe3t7hYRmK1asECgyYVy9ehW9e/dG69atERYWBicnJ1y7dg1JSUk4e/Yss6oTUaXEzjURERHRB1baaKxEIkFYWJgSo1ENKSkpWLt2LSIjI5Geno7WrVtj8uTJMDU1FTo0IqL3ws41ERERESldVlYWoqKikJCQgLy8PLl9Tk5OAkVFRPT+uOaaiIiIiJTqyJEjcHV1RVJSEoqO80gkEuTm5goUGRHR+2PKSiIiIiJSqqlTp2LYsGH477//kJeXJ/fFjjURVVacFk5ERERESqWvr4+IiAgmLiOiKoUj10RERESkVEOGDMHJkyeFDoOIqEJx5JqIiIiIlCozMxNDhw6FsbExmjdvrvBoMk9PT4EiIyJ6f+xcExEREZFSbdq0CRMmTICOjg5q1aoFiUQi2yeRSBAbGytgdERE74edayIiIiJSKhMTE3h6esLPzw9qalylSERVA1szIiIiIlKqV69ewcXFhR1rIqpS2KIRERERkVK5ublh586dQodBRFShNIQOgIiIiIjEJTc3F0uXLkVoaCjs7e0VEpqtWLFCoMiIiN4f11wTERERkVL16tWrxH0SiQRhYWFKjIaIqGKwc01ERERERERUTlxzTURERERERFRO7FwTERERERERlRM710RERERERETlxM41ERERERERUTmxc01ERERERERUTuxcExEREREREZUTO9dERERERERE5fT/k3meUWp0BUgAAAAASUVORK5CYII=",
            "text/plain": [
              "<Figure size 1200x800 with 2 Axes>"
            ]
          },
          "metadata": {},
          "output_type": "display_data"
        }
      ],
      "source": [
        "# Plotting the heatmap\n",
        "plt.figure(figsize=(12, 8))\n",
        "sns.heatmap(correlation_matrix, annot=True, cmap='coolwarm', fmt='.2f', linewidths=0.5)\n",
        "plt.title('Correlation Heatmap')\n",
        "plt.show()"
      ]
    }
  ],
  "metadata": {
    "accelerator": "GPU",
    "colab": {
      "gpuType": "T4",
      "provenance": []
    },
    "kernel_info": {
      "name": "python3"
    },
    "kernelspec": {
      "display_name": "Python 3.9",
      "identifier": "legacy",
      "language": "python",
      "language_version": "3.9",
      "name": "python3"
    },
    "language_info": {
      "codemirror_mode": {
        "name": "ipython",
        "version": 3
      },
      "file_extension": ".py",
      "mimetype": "text/x-python",
      "name": "python",
      "nbconvert_exporter": "python",
      "pygments_lexer": "ipython3",
      "version": "3.9.1"
    },
    "noteable": {
      "db_connection": "@noteable",
      "last_delta_id": "ec9476ac-4684-4b78-acdd-6dfe6cd65bcf"
    },
    "nteract": {
      "version": "noteable@2.9.0"
    },
    "selected_hardware_size": "small"
  },
  "nbformat": 4,
  "nbformat_minor": 5
}