Boston Housing Predict [LinearRegression].ipynb

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      "source": [
        "## Import Library"
      ],
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        "id": "fWWY_cgiVaIf"
      }
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      "source": [
        "# Library untuk manipulasi dan analisis data\n",
        "import pandas as pd\n",
        "# Library untuk membuat visualisasi data (grafik statis)\n",
        "import matplotlib.pyplot as plt\n",
        "# Library untuk membuat visualisasi data yang lebih informatif dan estetis\n",
        "import seaborn as sns\n",
        "# Library untuk membagi data menjadi data latih dan data uji\n",
        "from sklearn.model_selection import train_test_split\n",
        "# Library untuk melakukan regresi linear\n",
        "from sklearn.linear_model import LinearRegression\n",
        "# Library untuk menghitung metrik evaluasi seperti Mean Squared Error (MSE) ,R-squared (R²), dan Mean Absolute Error (MAE)\n",
        "from sklearn.metrics import mean_absolute_error, mean_squared_error, r2_score\n",
        "# Library untuk mengambil dataset open source dari OpenML\n",
        "from sklearn.datasets import fetch_openml\n",
        "# Importing library statsmodels untuk analisis statistik\n",
        "import statsmodels.api as sm\n",
        "# Library untuk cross-validation dan evaluasi model\n",
        "from sklearn.model_selection import cross_val_score, KFold"
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "## Import Dataset"
      ],
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        "id": "yzTP3YRKVduX"
      }
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      "cell_type": "code",
      "source": [
        "data = fetch_openml(name=\"boston\", version=1, as_frame=True)\n",
        "boston = data.frame\n",
        "boston.head()"
      ],
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              "      CRIM    ZN  INDUS CHAS    NOX     RM   AGE     DIS RAD    TAX  PTRATIO  \\\n",
              "0  0.00632  18.0   2.31    0  0.538  6.575  65.2  4.0900   1  296.0     15.3   \n",
              "1  0.02731   0.0   7.07    0  0.469  6.421  78.9  4.9671   2  242.0     17.8   \n",
              "2  0.02729   0.0   7.07    0  0.469  7.185  61.1  4.9671   2  242.0     17.8   \n",
              "3  0.03237   0.0   2.18    0  0.458  6.998  45.8  6.0622   3  222.0     18.7   \n",
              "4  0.06905   0.0   2.18    0  0.458  7.147  54.2  6.0622   3  222.0     18.7   \n",
              "\n",
              "        B  LSTAT  MEDV  \n",
              "0  396.90   4.98  24.0  \n",
              "1  396.90   9.14  21.6  \n",
              "2  392.83   4.03  34.7  \n",
              "3  394.63   2.94  33.4  \n",
              "4  396.90   5.33  36.2  "
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\"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"B\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 91.29486438415779,\n        \"min\": 0.32,\n        \"max\": 396.9,\n        \"num_unique_values\": 357,\n        \"samples\": [\n          396.24,\n          395.11\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"LSTAT\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 7.141061511348571,\n        \"min\": 1.73,\n        \"max\": 37.97,\n        \"num_unique_values\": 455,\n        \"samples\": [\n          6.15,\n          4.32\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"MEDV\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 9.19710408737982,\n        \"min\": 5.0,\n        \"max\": 50.0,\n        \"num_unique_values\": 229,\n        \"samples\": [\n          14.1,\n          22.5\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    }\n  ]\n}"
            }
          },
          "metadata": {},
          "execution_count": 2
        }
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "## Summarize Data"
      ],
      "metadata": {
        "id": "Pc2tH4SiVi3y"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "# Pisahkan deskripsi dataset ke dalam baris-baris\n",
        "# `data.DESCR` berisi metadata dataset seperti informasi tentang variabel, sumber, dan referensi\n",
        "lines = data.DESCR.splitlines()\n",
        "\n",
        "# Ekstraksi nama variabel dan deskripsinya\n",
        "# Variabel ini berbentuk daftar dari dua kolom: [Nama Variabel, Deskripsi Variabel]\n",
        "# Hanya baris yang memenuhi kriteria berikut yang diproses:\n",
        "# - `len(line.split()) > 1`: Baris memiliki lebih dari 1 kata (agar relevan)\n",
        "# - `line.split()[0].isupper()`: Kata pertama di baris ditulis dalam huruf kapital (umumnya nama variabel)\n",
        "variables_df = pd.DataFrame(\n",
        "    [[line.split(maxsplit=1)[0], line.split(maxsplit=1)[1]]  # Ambil nama variabel dan deskripsi\n",
        "     for line in lines if len(line.split()) > 1 and line.split()[0].isupper()],\n",
        "    columns=[\"Variable\", \"Description\"]  # Beri nama kolom pada DataFrame\n",
        ")\n",
        "\n",
        "# Tampilkan DataFrame sebagai tabel (khusus untuk Jupyter Notebook atau IPython)\n",
        "# `display` digunakan untuk format tabel yang lebih rapi di Jupyter Notebook\n",
        "display(variables_df)"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 551
        },
        "id": "cOna9cYBYK1u",
        "outputId": "2983381e-a1af-4bf9-f80f-b352aa0d3397"
      },
      "execution_count": 3,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "       Variable                                        Description\n",
              "0          CRIM                      per capita crime rate by town\n",
              "1            ZN  proportion of residential land zoned for lots ...\n",
              "2         INDUS   proportion of non-retail business acres per town\n",
              "3          CHAS  Charles River dummy variable (= 1 if tract bou...\n",
              "4           NOX  nitric oxides concentration (parts per 10 mill...\n",
              "5            RM               average number of rooms per dwelling\n",
              "6           AGE  proportion of owner-occupied units built prior...\n",
              "7           DIS  weighted distances to five Boston employment c...\n",
              "8           RAD          index of accessibility to radial highways\n",
              "9           TAX           full-value property-tax rate per $10,000\n",
              "10      PTRATIO                        pupil-teacher ratio by town\n",
              "11            B  1000(Bk - 0.63)^2 where Bk is the proportion o...\n",
              "12        LSTAT                   % lower status of the population\n",
              "13         MEDV    Median value of owner-occupied homes in $1000's\n",
              "14   CLASSTYPE:                                            numeric\n",
              "15  CLASSINDEX:                                               last"
            ],
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              "      <th>0</th>\n",
              "      <td>CRIM</td>\n",
              "      <td>per capita crime rate by town</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1</th>\n",
              "      <td>ZN</td>\n",
              "      <td>proportion of residential land zoned for lots ...</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2</th>\n",
              "      <td>INDUS</td>\n",
              "      <td>proportion of non-retail business acres per town</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>3</th>\n",
              "      <td>CHAS</td>\n",
              "      <td>Charles River dummy variable (= 1 if tract bou...</td>\n",
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              "    <tr>\n",
              "      <th>4</th>\n",
              "      <td>NOX</td>\n",
              "      <td>nitric oxides concentration (parts per 10 mill...</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>5</th>\n",
              "      <td>RM</td>\n",
              "      <td>average number of rooms per dwelling</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>6</th>\n",
              "      <td>AGE</td>\n",
              "      <td>proportion of owner-occupied units built prior...</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>7</th>\n",
              "      <td>DIS</td>\n",
              "      <td>weighted distances to five Boston employment c...</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>8</th>\n",
              "      <td>RAD</td>\n",
              "      <td>index of accessibility to radial highways</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>9</th>\n",
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              "      <td>full-value property-tax rate per $10,000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>10</th>\n",
              "      <td>PTRATIO</td>\n",
              "      <td>pupil-teacher ratio by town</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>11</th>\n",
              "      <td>B</td>\n",
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              "    <tr>\n",
              "      <th>12</th>\n",
              "      <td>LSTAT</td>\n",
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              "    </tr>\n",
              "    <tr>\n",
              "      <th>13</th>\n",
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              "      <td>Median value of owner-occupied homes in $1000's</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>14</th>\n",
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              "    <tr>\n",
              "      <th>15</th>\n",
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              "variable_name": "variables_df",
              "summary": "{\n  \"name\": \"variables_df\",\n  \"rows\": 16,\n  \"fields\": [\n    {\n      \"column\": \"Variable\",\n      \"properties\": {\n        \"dtype\": \"string\",\n        \"num_unique_values\": 16,\n        \"samples\": [\n          \"CRIM\",\n          \"ZN\",\n          \"RM\"\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"Description\",\n      \"properties\": {\n        \"dtype\": \"string\",\n        \"num_unique_values\": 16,\n        \"samples\": [\n          \"per capita crime rate by town\",\n          \"proportion of residential land zoned for lots over 25,000 sq.ft.\",\n          \"average number of rooms per dwelling\"\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    }\n  ]\n}"
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    {
      "cell_type": "code",
      "source": [
        "boston.describe().transpose()"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 426
        },
        "id": "pLQ0M_7YEEyD",
        "outputId": "04d3eab8-4bf6-401b-c189-3665c243a3cf"
      },
      "execution_count": 4,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "         count        mean         std        min         25%        50%  \\\n",
              "CRIM     506.0    3.613524    8.601545    0.00632    0.082045    0.25651   \n",
              "ZN       506.0   11.363636   23.322453    0.00000    0.000000    0.00000   \n",
              "INDUS    506.0   11.136779    6.860353    0.46000    5.190000    9.69000   \n",
              "NOX      506.0    0.554695    0.115878    0.38500    0.449000    0.53800   \n",
              "RM       506.0    6.284634    0.702617    3.56100    5.885500    6.20850   \n",
              "AGE      506.0   68.574901   28.148861    2.90000   45.025000   77.50000   \n",
              "DIS      506.0    3.795043    2.105710    1.12960    2.100175    3.20745   \n",
              "TAX      506.0  408.237154  168.537116  187.00000  279.000000  330.00000   \n",
              "PTRATIO  506.0   18.455534    2.164946   12.60000   17.400000   19.05000   \n",
              "B        506.0  356.674032   91.294864    0.32000  375.377500  391.44000   \n",
              "LSTAT    506.0   12.653063    7.141062    1.73000    6.950000   11.36000   \n",
              "MEDV     506.0   22.532806    9.197104    5.00000   17.025000   21.20000   \n",
              "\n",
              "                75%       max  \n",
              "CRIM       3.677083   88.9762  \n",
              "ZN        12.500000  100.0000  \n",
              "INDUS     18.100000   27.7400  \n",
              "NOX        0.624000    0.8710  \n",
              "RM         6.623500    8.7800  \n",
              "AGE       94.075000  100.0000  \n",
              "DIS        5.188425   12.1265  \n",
              "TAX      666.000000  711.0000  \n",
              "PTRATIO   20.200000   22.0000  \n",
              "B        396.225000  396.9000  \n",
              "LSTAT     16.955000   37.9700  \n",
              "MEDV      25.000000   50.0000  "
            ],
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              "      <th>CRIM</th>\n",
              "      <td>506.0</td>\n",
              "      <td>3.613524</td>\n",
              "      <td>8.601545</td>\n",
              "      <td>0.00632</td>\n",
              "      <td>0.082045</td>\n",
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              "      <td>3.677083</td>\n",
              "      <td>88.9762</td>\n",
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              "      <th>ZN</th>\n",
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              "      <td>506.0</td>\n",
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              "      <td>5.190000</td>\n",
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              "      <td>506.0</td>\n",
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              "      <td>0.115878</td>\n",
              "      <td>0.38500</td>\n",
              "      <td>0.449000</td>\n",
              "      <td>0.53800</td>\n",
              "      <td>0.624000</td>\n",
              "      <td>0.8710</td>\n",
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              "    <tr>\n",
              "      <th>RM</th>\n",
              "      <td>506.0</td>\n",
              "      <td>6.284634</td>\n",
              "      <td>0.702617</td>\n",
              "      <td>3.56100</td>\n",
              "      <td>5.885500</td>\n",
              "      <td>6.20850</td>\n",
              "      <td>6.623500</td>\n",
              "      <td>8.7800</td>\n",
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              "      <th>AGE</th>\n",
              "      <td>506.0</td>\n",
              "      <td>68.574901</td>\n",
              "      <td>28.148861</td>\n",
              "      <td>2.90000</td>\n",
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              "      <td>77.50000</td>\n",
              "      <td>94.075000</td>\n",
              "      <td>100.0000</td>\n",
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              "    <tr>\n",
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              "      <td>506.0</td>\n",
              "      <td>3.795043</td>\n",
              "      <td>2.105710</td>\n",
              "      <td>1.12960</td>\n",
              "      <td>2.100175</td>\n",
              "      <td>3.20745</td>\n",
              "      <td>5.188425</td>\n",
              "      <td>12.1265</td>\n",
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              "    <tr>\n",
              "      <th>TAX</th>\n",
              "      <td>506.0</td>\n",
              "      <td>408.237154</td>\n",
              "      <td>168.537116</td>\n",
              "      <td>187.00000</td>\n",
              "      <td>279.000000</td>\n",
              "      <td>330.00000</td>\n",
              "      <td>666.000000</td>\n",
              "      <td>711.0000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>PTRATIO</th>\n",
              "      <td>506.0</td>\n",
              "      <td>18.455534</td>\n",
              "      <td>2.164946</td>\n",
              "      <td>12.60000</td>\n",
              "      <td>17.400000</td>\n",
              "      <td>19.05000</td>\n",
              "      <td>20.200000</td>\n",
              "      <td>22.0000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>B</th>\n",
              "      <td>506.0</td>\n",
              "      <td>356.674032</td>\n",
              "      <td>91.294864</td>\n",
              "      <td>0.32000</td>\n",
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              "      <td>391.44000</td>\n",
              "      <td>396.225000</td>\n",
              "      <td>396.9000</td>\n",
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              "    <tr>\n",
              "      <th>LSTAT</th>\n",
              "      <td>506.0</td>\n",
              "      <td>12.653063</td>\n",
              "      <td>7.141062</td>\n",
              "      <td>1.73000</td>\n",
              "      <td>6.950000</td>\n",
              "      <td>11.36000</td>\n",
              "      <td>16.955000</td>\n",
              "      <td>37.9700</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>MEDV</th>\n",
              "      <td>506.0</td>\n",
              "      <td>22.532806</td>\n",
              "      <td>9.197104</td>\n",
              "      <td>5.00000</td>\n",
              "      <td>17.025000</td>\n",
              "      <td>21.20000</td>\n",
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          },
          "metadata": {},
          "execution_count": 4
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "boston.shape"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "fsJuTlYQI2rl",
        "outputId": "511e4fd1-fe75-4acb-c1ca-93e743b9d13a"
      },
      "execution_count": 5,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "(506, 14)"
            ]
          },
          "metadata": {},
          "execution_count": 5
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "boston.info()"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "w07g-YxwI4-D",
        "outputId": "efa486ae-8bbd-49a6-8885-615b1b0c21a5"
      },
      "execution_count": 6,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "<class 'pandas.core.frame.DataFrame'>\n",
            "RangeIndex: 506 entries, 0 to 505\n",
            "Data columns (total 14 columns):\n",
            " #   Column   Non-Null Count  Dtype   \n",
            "---  ------   --------------  -----   \n",
            " 0   CRIM     506 non-null    float64 \n",
            " 1   ZN       506 non-null    float64 \n",
            " 2   INDUS    506 non-null    float64 \n",
            " 3   CHAS     506 non-null    category\n",
            " 4   NOX      506 non-null    float64 \n",
            " 5   RM       506 non-null    float64 \n",
            " 6   AGE      506 non-null    float64 \n",
            " 7   DIS      506 non-null    float64 \n",
            " 8   RAD      506 non-null    category\n",
            " 9   TAX      506 non-null    float64 \n",
            " 10  PTRATIO  506 non-null    float64 \n",
            " 11  B        506 non-null    float64 \n",
            " 12  LSTAT    506 non-null    float64 \n",
            " 13  MEDV     506 non-null    float64 \n",
            "dtypes: category(2), float64(12)\n",
            "memory usage: 49.0 KB\n"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "# Mengubah tipe data kolom 'CHAS' dari tipe data awal (kategori) menjadi tipe data float\n",
        "boston['CHAS'] = boston['CHAS'].astype(float)\n",
        "\n",
        "# Mengubah tipe data kolom 'RAD' dari tipe data awal (kategori) menjadi tipe data float\n",
        "boston['RAD'] = boston['RAD'].astype(float)"
      ],
      "metadata": {
        "id": "FbQqRGlEMkfD"
      },
      "execution_count": 7,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "boston.info()"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "GvSNvRy2M_Op",
        "outputId": "0f987e6a-cd1c-42c9-8cc5-ccc7a9fb255c"
      },
      "execution_count": 8,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "<class 'pandas.core.frame.DataFrame'>\n",
            "RangeIndex: 506 entries, 0 to 505\n",
            "Data columns (total 14 columns):\n",
            " #   Column   Non-Null Count  Dtype  \n",
            "---  ------   --------------  -----  \n",
            " 0   CRIM     506 non-null    float64\n",
            " 1   ZN       506 non-null    float64\n",
            " 2   INDUS    506 non-null    float64\n",
            " 3   CHAS     506 non-null    float64\n",
            " 4   NOX      506 non-null    float64\n",
            " 5   RM       506 non-null    float64\n",
            " 6   AGE      506 non-null    float64\n",
            " 7   DIS      506 non-null    float64\n",
            " 8   RAD      506 non-null    float64\n",
            " 9   TAX      506 non-null    float64\n",
            " 10  PTRATIO  506 non-null    float64\n",
            " 11  B        506 non-null    float64\n",
            " 12  LSTAT    506 non-null    float64\n",
            " 13  MEDV     506 non-null    float64\n",
            "dtypes: float64(14)\n",
            "memory usage: 55.5 KB\n"
          ]
        }
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "## Visualisasi"
      ],
      "metadata": {
        "id": "_mHS_7kqVoCk"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "# Membuat figure atau gambar dengan ukuran 12x8 inci\n",
        "plt.figure(figsize=(12, 8))\n",
        "\n",
        "# Membuat heatmap untuk menunjukkan korelasi antara fitur-fitur dalam dataset boston\n",
        "# boston.corr() menghitung korelasi antar kolom di dataset boston\n",
        "# annot=True menampilkan nilai korelasi pada setiap sel di heatmap\n",
        "# cmap='coolwarm' menentukan warna yang digunakan dalam heatmap, dari biru (negatif) hingga merah (positif)\n",
        "# fmt='.2f' untuk menampilkan angka korelasi dengan dua angka desimal\n",
        "# linewidths=0.5 untuk memberi garis pemisah antar sel pada heatmap\n",
        "sns.heatmap(boston.corr(), annot=True, cmap='coolwarm', fmt='.2f', linewidths=0.5)\n",
        "\n",
        "# Menambahkan judul pada heatmap\n",
        "plt.title('Heatmap Korelasi')\n",
        "\n",
        "# Menampilkan heatmap\n",
        "plt.show()"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 699
        },
        "id": "L5AK4B_4I7SO",
        "outputId": "994c1973-617f-4d2c-e731-d37221fb600f"
      },
      "execution_count": 9,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 1200x800 with 2 Axes>"
            ],
            "image/png": 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bQRAEQRAEQRCEcpadnc3x48c5fvw4YH5sxvHjx7l58yZgHt761FNPWdI///zzXL16lbfffpvz58/z3Xff8fvvv/P666/btZyih1EQBEEQBEEQhEeGwuHf0cN4+PBhOnToYHl/+97HkSNHMmfOHOLj4y3BI0B4eDjr1q3j9ddfZ/r06QQHB/Pzzz/TtWtXu5ZTBIyCIAiCIAiCIAjlrH379shyyRNkzpkzx+Y6x44ds2OpihMBoyAIgiAIgiAIjwxJJe66K0ulChiVSuUDpTMajQ9VGEEQBEEQBEEQBOGfo1QBoyzLVKlShZEjR9KgQQN7lUkQBEEQBEEQBEH4ByhVwHjw4EF++eUXpk+fTnh4OM888wzDhg3Dy8vLXuUTBEEQBEEQBEF4YP+WSW/+LUo1wLdx48Z8//33xMfHM378eFasWEFwcDBDhgxh06ZN9iqjIAiCIAiCIAiCUAEe6o5QjUbD8OHD2bJlC6dPnyYpKYlu3bqRlpZW1uUTBEEQBEEQBEF4YJJKqrDXo+ihZ0mNjY1lzpw5zJkzh9zcXN566y3c3d3LsmyCIAiCIAiCIAhCBSpVwFhQUMCKFSv45Zdf2LVrF927d+ebb76he/fuDzyDqiAIgiAIgiAIgvDvUKqAsVKlSri5uTFy5Ei+++47/P39AcjJybFKJ3oaBUEQBEEQBEGoCGLSm7JVqoAxPT2d9PR0Pv74Yz755JNin8uyjCRJ5fIcRu/WjYl441k8GkajCfLn8MAXSVy95d7rtG1KrS8n4FqrOvkx8Vye+j2x81ZYpanywpNEjH8WdaAfmSfPc2bcx2gPnbJnVYqRZZltK2dwdOdS8nMzCanWkF5PTcYnIKzEdXatm8W5I5tIib+Kg6OGkGoN6PL4G/hWirCk0et1/LX4c04fXIfBoKdadCt6Dp+Mq4ev3eu0eOdR5m49SEpmDpGV/ZnweGfqVKl03/X+PHKOCXPX0KFONb4ZM8CyfPOJiyzdfZxzMQloc/NZ8vZIagQH2LMKNsmyzOrFP7Br0wpyc7OoVqMew557l4Cg0Huut+3PJWxcOQ9tRiohYZEMHf024dWjrdJcuXCCFQtncu3SaRQKJSHhkYx7fyaOao3d6rN49zHmbj1MSlYOkUF+TBjQ8cG209HzTJi/jg7RVfnm2X4A6I1G/rd+D7vPXSM2NQM3jZpmkVV4rVcb/D1c7VYHW2RZZsfqbzm+y9ymgqs1pMewD/G+R5vas34W54/+RWqCuU0FV21Ap4Fv4hNoblN5ORnsWDWDq2d3k5kWj7ObN1H1O9Ou72tonN3sXqcl2w4wd+NuUrXZRIYE8s7QnkSHB9tMu+XoGX5Zv5OYpDQMRiOh/j6MeKwVvVrUt6T5YPZy1uw7ZrVey9rVmDlupD2rUUy7OgoaVJXQqCAmRebPQybSsktO36iaRKPqCjxdzO+TtbDztIkr8bIljYsGOtdXEBEo4aiC1EzYfcbE+Vi5hFzLjmODNqibdEJycceYFEf+lj8wJtwoeQW1E5o2vVBVr4ekccaUmU7+1mUYrp0151e/NY71W6Nw9wbAmJqAbu8Gy+fl4fcTV5l39DKpuTqq+7rzdru6RAfani199dmbTNls/btyVCrY91Jvy/vcAgMz9p5l+5V4tPkFBLk7M6R+BI/XCbdrPe70+1+7mL9uK6naTKqHVuatkQOJrlrFZtoVW/eybvchrsTEA1AzPIQXn+hllT5Vm8mMRWvYf+o8Wbl5NKxRlbdGDiQ00L9c6nOn9nUVNKhW2KaSZdYfMpGWVXL6RtUlGldX4Fm4m07OMLepy7eK2ouXK3RpqCDET8JBCZdvyWw4bCIn3751AVi89xRzdx4jJSuXyEo+TOjbljoh9z/+/3n8EhMW/UWHWuF8M7KH1WdXE9P45s99HLl6C4PJRNUAb74a3o1KXvbfl9/2qG0n4dFSqoBx27Zt9ipHqSldnMk8eYGYOcto/MfM+6Z3CgumyepZ3PxxMcefehOfji2oM+sT8uOTSdm0G4BKg7pT84uJnH5pMhkHTxD+6kiarfuF7bW7UZBcfhP67PnzZw5snk//0Z/h6RvMthXTmf/VaF76zzpUKrXNda5fOESTjk9SObwOJqORLcu/Zv600bz0yVoc1c4AbFw0lYsndzDoxelonFxZv/Bjlsx8hWffXWTX+mw4eo4vV2xj0hOPUadKJRbuOMwL3/3Oqkmj8XFzKXG9uFQt01Zuo2HV4ifBeTo9DSIq07VBFFMWb7Rn8e9pw4q5bFm3iGde/Qhf/yBWLvqebz5+iY+m/4HK0fa2OrR7I7//Oo3hY98lPLIOm9cu5JuPXuLjGStw9zSfBF65cILpH79C9wFPM3T0OyiVSmKuX0RSPNQ8VQ9Wl2Pn+XLlDiYN6ly4nY7wwqxlrJr4DD5uziWuF5emZdrqHTSMqGy1PL/AwPnYRJ7r0pyoyn5k5ubz+YptvPbzSha9Mdxu9bBl34afOLRlPn2eMbepHSun89s3z/L8R+txKKFN3bh4kMYdhhEUVgeTyci2FdNY+PWzPP/ROhzVzmRlJJGtTaLzoHfwrVQNbWocfy74kKyMJB5/4Vu71mfjoVN89fufvDe8D9Hhwfy2eR8vfjOXlR+/hrd78WDcw8WZ0T3aEVbJF5XSgV0nL/DhnBV4u7nQMrq6JV3L6OpMGdXf8t7R4aFvc38oLWtKNI2UWLXfREaOTPs6Cp7soOT7dUaMJtvrZObC1uMm0rJkkKBeuIIn2ij4aYOR5Exzmr7NFWgcJZbsNJKrg+gwiYGtFPzyl5GEdPvVRxXVEE37/uRtWoIx/gbqRu1xGfQiWb98jJxrIwpWKHEZ9BJybja5q3/BlKVF4e6NrMuzJDFlZZC/YzWm9GSQQFW7Gc79x5A993NMqQn2q0yhvy7GMW3XGd7tWJfoAC9+O36Vl1ftY/mITng7225LLo4OLB/RyfJeuuvC/7RdpzkUm8LHXRsR5O7M/ptJfLbtJH4uGtpF3P+C1d/1176jfL1wBROfGUx01TAWbdjOK599z7Iv38Pbo3jAcOTcZbq2aEjdp8JRO6qYu2YzL3/2Pb9/PgF/b09kWebNab/goFTy1fjRuDhpWPjndl789DuW/nciThrbfyd7aFlLommUxMp9JjKyZTrUVTCsg5Lv1pbcprJyYcvtNgXUi1DwRFsFP/5pJFkLKiUM66gkMV1m/hZzB0H7ugqGtFPyy0b7dhhsOHGJL9fuZlL/9tQJDWDh7hO88MsaVr35JD6u9zpOZTJt3R4ahhf/PcWkahn1w3L6N6nFC12a4qpx5EpiGo6q8rvV6lHbTv8Ej+rkMxWlVGef7dq1e6BXeUjeuJOLk78hcdXmB0pf5bkh5F2L5dzbn5N9/io3vltIwrKNhL82ypImfNzTxPzyO7Fzl5N97gqnXpyMMTefkFED7VSL4mRZZv+mebTt/Tw1GnQiMCSK/qM/JysjifNHS67riPE/06D1APwrVycwtAb9npmKNvUWt66fASA/N4uju5bRdcg7RNRsTlBYNH2fmUrM5WPEXDlu1zrN33aYAS3r0q95HapW8mXS4K5oHFWs3F9yz63RZOLdeWt5oUdrgn08i33eu2ltnu/eimZRYfYr+H3IssyWtb/R8/HR1G/anuCwSJ559SMy0pI5dnB7iettWrOQNl3606pTX4JCIhg+9j0c1Rr2bF1lSbNk9ld07DGE7gOepnJoVQIrh9Gk1WOoVI52q8/87UcY0KIO/ZpFUzXQh0mDupi304H7bKf563mhW8ti28nNSc2sFwbRtUEUYf7e1A0LYuLATpyNTSQ+PdNu9bibLMsc3DKP1j1fIKp+ZwKCa9Dnmf+SlZHEhWMlt6knx/1CvVYD8KtcnYCQGvR++jMy024Rf8PcpvwrR/L4CzOIrNcRb/9Qwmu2oH3/cVw6uRWT0WDXOi3YtJcBbRrTt1VDqgb5897w3uZtteeozfSNo8Lp2LAWEZX8CfH35snOLageHMCxy9Y9XY4OSnw93Cwvdxcnu9bjbk2jFOw6Y+JinExSBqzab8LNCWoEl3zgv3RL5nK8TFo2pGXBtpMmCgxQ2bdonRBfiUMXTdxKg4wc2H1GJl8PgV72PaFwbNyBgpP70J8+gCk1gby/liDrC3CMbmE7fZ3mSE7O5K78EWPcNeTMNIyxlzElx1nSGK6cxnDtLKaMZEzpyeh2r0Uu0KEMCrNrXW5bcOwy/aOr0KdWFSJ83Hm3Yz00DkpWnS2511QCfF00lpePs/UoiZPxafSqGULjYF+C3J0ZEB1GdV93ziRm2LcyhRb+uZ1+HVrSp11zIoIDmfjMYDRqR1bv2G8z/ScvPcWgLm2ICgsmLCiASWOGIptMHDxzEYCbCcmcunydCc8MonbVKoQFBTDx6UHo9Ho27rPdRu2lWQ0Fu06buBhrblMr95lwc4YaISX/9i/GyVy+JZOWVdimTli3qRA/CU8XWLXPRFIG5ra6z0SQD4QH2rdNzd91nAFNa9OvSU2qBngzqX97NCoHVh46V+I6RpOJdxdv4oUuTQn29ij2+YwN+2kdVYXXe7SkZmU/Qnw8aF8r/J4BaFl71LaT8OgpVcCYmZn5QK9/Is/m9UnZus9qWfKm3Xg1rw+ApFLh0bA2KVv2FiWQZVK27sWzeYNyK2d6cizZ2mQiarW0LNM4uxEcUZfYUgR2+XnmcQxOLuad460bZzAZ9Vb5+lWKwMMnqFT5lpbeYORcTALN7wjsFAqJ5lFVOHntVonrzdqwFy83Zwa0qGu3sv1dKYlxaDNSqFmvmWWZs4sbEdWjuXrhpM11DHo9N66co2bdonUUCgU16zbjSuE6mRlpXLt0GjcPbz6bOIrxT3fmi0mjuXTumM08y4LeYORcbCLNI4uG0ioUEs2rh3LyRnyJ683auM+8nZrXeaDvyc7TIUnmYLK8ZKSY21R4Tes2VTmiHrFXH/xvqrurTdlOk41a44pCab+eOb3BwLkbt2hWs2i4uUKhoFnNqpy8EnPf9WVZ5sC5K1xPSKFRZJjVZ4cvXKfj+M/oN+kb/rNgNRnZuWVd/BJ5uoCbk8S1hKLhVDo9xKVaB3/3IklQO1RC5QCxKUX5xKTI1AqV0BReb6kdah6edSPJjkNSFUqUgSEYbly4Y6GM4caFEoM7h2p1MN66jlPnwbi9+B9cR01E3eyx4l1yt0kSqhoNkVSOGG9dL+saFKM3mjifpKVpiJ9lmUKSaBrix6n4krtq8/RGev76Fz1mb2T8mgNcSbU+T6hbyZudVxNIys5DlmUOxSRzMyOb5qF+JeRYdvQGA+evxdAsOtKyTKFQ0DQ6kpOXrj9QHvm6AgxGEx4u5gBDrzdfMFKrVFZ5Ojo4cPzC1bIr/H14uprb1NW721QKBJemTVUpbFPJ5nwcCjve7uz5MhhBliHUz36BiN5g5FxcMs2rF406UigkmlcL5uTNknvXZ20+hJerEwOa1ir2mckks+v8Dar4evL8z6tp/9Fshv1vKVvPiO0kCHcq1VmNp6cnUkkHLsr3HsbSUgf4oktMsVqmS0xB5eGGQqNG5eWBwsEBXVLqXWlScYmKoLxkZyYD4OruY7Xcxd2XbG2KrVWKMZlMbFj0KSHVGhIQbD4IZmuTUTqocHK2npDIxd3ngfN9GOk5uRhNcrEhjT5uLlxLtD3M9+iVWFbsO8nv74yyW7nKgjbD/Ftx9/C2Wu7m6YM23fbfNDsrA5PJaBl6epu7pzcJcdcBSE6MBWDNklkMGjmOkPAo9m1fy7TJz/PhN0vve3/kw0jPySvcTtZDhH3cnLmWVMJ2uhrLigOn+f3NEQ/0HTq9gW/W7qR7gxq4luOQrGytuU253N2m3HzIecDfvmwy8dfiTwmu1hD/ypE20+RmpbFr7Xc0aPvE3yvwfaRn52I0mYoNPfVxd+V6Qsn1ycrNp+vbX6A3GFBICiYO60XzWtUsn7eMrkbHhjWp7OtFbHIaM1Zs5uXp85g78TmUdhwKfZtrYWfm3ffW5OTLuN7ntl1/D3i6ixIHJRQYYOkuEyl3xCTL9pgY2ErBWwMdMJpk9IVp0u9xb+TfJTm5ICmUyLnWwZGcm4XC2/b9VgoPXxSh3ujPHiZn2Q8oPf3QdBkMSiW6vX8WpfOthOuwN8DBAQp05K78uVyGo2bk6TDKMj53DT31cVZzPd32zVZhXq580Lk+1X09yNbpmX/0Mk8v3cXSYR0JcDNv9Lfb1eGTrSfoPvsvlAoJBRKTOtWjYWX731+fkZVjbk93DT31dnfj+q2kB8pjxuLV+Hq50zQ6CoCwoAACfbz435I1vPvsEzipHVn453YS0zJIySi/i+q3201OnvXy7HzZ0t5K4u8JzzxW1KZ+31nUpmJTZAoM0KmBgq3HTUiY/69QSLg62e8iTHpuvvk45Xr3+YQz15JtX7A4eu0WKw6d4/dxtvfLaTm55Bbomb39KC93bca4Hi3Yc+Em4+f/yc/P9aPxXbda2MOjtp3+KcSkN2WrQu5h1Ol06HQ6q2VqdfmdQP6TnNy3hjXzJlveDxv3w9/Oc/2Cj0iKu8QzE3/723mVt5x8He/NX8fkod3wKsfhIA9i/471LJj1H8v7V96zz31qsmzekbd9bACtOvUFIDSiBudOHWTP1lUMGP6KXb63NHLyC3hv4Z9MfuKxB9pOeqORt+auQZbhvUGd7Vq2U/tXs35BUZsa8sqsv53nn79NIfnWJUa+bbtN6fKyWTxjLH5BVWnb++W//X324KJxZPEHL5KXX8CB81f56vcNBPt50zjKPLFIt6ZFvfnVgwOpHhxI73e/5vCFazSrWbXMyxNdRaJnk6JAdNGOh7/QmJIFP24wolZBrVAFfZormLfFaDlxal9XgUYlMX+rkTydTFSw+R7GuZuNJGn/bk3KkCQh52aR99cikGVMiTFIbh6om3SyChhNaUlkz/0M1E6oIuvj1GM4OYu/LZegsbTqVvKmbiVvq/ePL9jKstPXebFFTQAWn7zG6YQ0vu7VjEruThyNS+Xz7eZ7GJuFlv8kMaUxZ/Um/tp3jFmTXkbtaO5RdHBQ8sXrz/Lxj4vo+NxElIU9li3r1QQ7nqdHh0n0anpHm9r+N9pUJsxab0TjCDVDFfRtoWDuJnObytXBH7tM9GiqoFmUElmG0zdkbqXKyP+gOCRHV8B7SzYzeWAHvEoYXm8qLG+H2uGMaFMfgBpBfpy4kcDS/WfsEjCK7ST8G5UqYCyr+xOnTp3KlClTrJZNnjyZJmWSu226xBTUAdZXK9UBvui1WZjydRSkpGMyGFD7+9yVxgfdPa7a/11R9TtQOaLoRM1oKAAgOzMVN8+iA2VOZgqBoTXvm9+6BR9x8cR2np6wAA/vQMtyVw8/jAY9ebmZVr2MOZmpdp0l1cvFGaVCIjXLemhbalYOvjYmvIlJyeBWmpZXf1xmWWYq3LM1HPcFq94bTYif7dn47K1+03ZERBbNZKrX6wHI1Kbh6V00dCorI5WQ8Cibebi6eaJQKMnMsO61y8xIw93T/Nvz8DJvj6AQ657tSpXDSU22zwmhl4tT4XayfkROalYuvu42tlNqBrfSMnn156JZhi3b6Y1prJr4DCG+nsDtYHEt8elZ/PTiILv3LkbW70jliHqW90a9uU3l3N2mslIJCKlx3/w2/PYRl05u56m3FuB+R5u6TZefzaLpo3HUuDDoxZkoHVQ2cik7Xq7OKBUK0jKtu8dSM7PxsTHhzW0KhYLQwv1bVGglrsUnM3v9TkvAeLdgP288XZ2JSUqzS8B4MU4mLrXoRMmh8PzJRQPZd/QyumgkEtLvfXZjMmHpLUxIN1HJW0HTKAXrD5nwcoWmkQp+WGewTIKTmCET4ifTuLqC9YdLmFHib5LzcpBNRqS7RnVIzm7IObZ7meQcLbLJxJ1nc6bURBSuHqBQgqnw72UyYsowH5d0iTE4VKqCY6N25P+1xC51uc3TSY1SkkjNtb7gm5qrw9f5wWZvVikVRPl5EKs172vyDUZm7j3Llz2b0ibc3L6q+3pwIVnL/KNX7B4werq5mNuT1rqHNC0zCx8bE97caf66rcxZs4XvJr5I9VDrwKJmeAi/TX2b7Nw89AYjXu6ujPxgGrXCQ8q8DrddjJWZlXJHmyockujiZN2mXEvZpuLTTAR5K2hWQ8G6g+b2cjVB5n+rjTipzWl1ehg/QMmZG/aLRLycNebjVPbd5xO5+NqYmC0mVcut9CxenbuuqF63j1MTv2PVm8MI9HDFQaEgwt961E+4vxfHr5d8O8bf8ahvp38KSSl6GMtSmY4zOnr0KL169bpvuokTJ6LVaq1eEydOLMuiFJOx/zg+HZtbLfPt1JL0/ccBkPV6tEfP4NvxjskIJAmfDi3I2G+/e8fUTq74BFSxvPyCquHq4ce1s0X3W+bnZRN79STBVeuXmI8sy6xb8BHnj25m5Ntz8PKznlk0qEptFEqVVb4p8VfRpt66Z75/l8pBSc2QQA5cLJoQwWSSOXDhBnXDg4qlDw/w4Y8JT7Pk7VGWV/voajSpHsqSt0cR6FVxz/jUOLngXynU8goKicDD05fzJw9a0uTlZnP10mkiomzfe+mgUlGlak3O3bGOyWTi3MmDVC1cx9c/CE9vPxLirCeRSIy/iY9f8YClLKgclNQMDuDAxZt3lEvmwKWb1LXxWI1wf2/+eHskS958yvJqX7sqTaqFsuTNpwj0NJ9o3Q4WbyanM+uFx/Esh0lU1BpXvP2rWF6+hW3q+vmi374uL5u4qycIjij5/mRZltnw20dcOLaJEW/Mxcuv+ImeLi+b375+FoVSxRMvfV/ijKtlSeXgQM0qQRw4V3SPjclk4uC5q9St+uAno7IsU2AoeXKexDQt2pw8fO30CJQCg/lE5/YrOROy8mSryRgcHaCyD8SllO7kRpKKAtDbEx3enYMsl3xrYJkwGTEmxOBQ5c4hzBIOVSJLvN/QEHcNhacv5mlizBRefpiytUXBok0SktK+FyrAHOzV8PfgUEyyZZmp8J7DOpUe7EKe0SRzOTXTEmAajCYMJhnFXRtDqZAsJ/f2pHJwoEZ4iGXCGjC3p0OnL1K3eliJ681ds4WfV2xkxtvPUyui5NsEXJ2d8HJ35WZCEueu3qRdowe73/thFGtT2sI2FXBXm/K1vsf3QUgSKG2cMebpzEFIWICEi8YcDNmLykFJzcp+HLgca1lmMskcuBxL3dDix8ZwPy/+eH0IS157wvJqXzOcJhGVWfLaEwR6uKJyUFI72J/rdw1pvZGSYbdHajzq20l4NJV6ZoaNGzeyadMmHB0dGT16NBEREZw/f54JEyawZs0aunbtet881Gr13x6CqnRxxqVa0U7aOTwY93o1KEjTkh8TT9Qn49FUDuDE0+8AcOPHxVR5cRg1pr5FzJxl+HZoTqVB3TnUZ6wlj2vf/Eq92Z+TceQ02kMnCXt1JA4uTsTMXf63yloakiTRvMtT7Fz7A94BYXj5VWbrim9x8/SnRsOioXxzvxhFjYadadbJ/HiCdQs+4tT+tQx9dSaOGheyCu/b0ji5oXLUoHF2o2GbgWxc8jlOLh6onVxZv/ATgqvWJ8SOASPAiA6NeX/BemqHBBJdpRILth8mr0BPv2bmA+d789fh7+HKa33aoVY5UD3IeqIDNyfzicWdy7U5ecSnZ5KsNV9au154n52vuwu+9+hlKUuSJNGp15Os++Nn/CuF4hsQxKpF3+Pp7UeDpu0t6b6aPJYGzTrQsccQALr0HsbsGZMJq1aL8Oq12bzmNwp0ebTq2MeSb9e+T7F6ySxCwiIJCY9k77a1JMRd5/m3/mu3+oxo34j3f9tQuJ0CWbDjaOF2MveqvrfwT/N26tXGvJ0qWfdMW7ZT4XK90cibc9ZwLjaRGaP7YzLJpGSaexU8nDWobl9WtTNJkmja6Sl2r/seb/8qePoGs33VdNw8/YlqUNSmFnw1kqgGXWjS0dymNvw2hdMH1jL4pe9w1LhY7oVUF7Ypc7D4DPqCPPo++wW6/Gx0+ebfo7ObNwqF/eo3vEtLPpi9nFphlYkOr8xvm/eRV1BA31YNAZj0yx/4e7nz6oDHAPhl/Q5qh1Um2M+bAoOB3acusW7/cSYOMz8LLzdfx6w12+jUsDa+Hq7EJKcx/Y+/CPHzpmXt6iWWo6wdvGCidW0FaVnmqeXb11WQlYfV8xKHd1BwPlbm8CXzso71FFy+ZUKbC2oHiA5TEOYvsXC7+Qp7SiakZsn0aKJk8zEjeQUQFSwRESixeId9ehdvKzi8DacewzEm3MQYfwPHxu2RVGoKTptn33TqMQJTVga6XWvM6Y/vQt2gDZpOAyk4ugOFlz/q5o9RcHSHJU91m97mWVIz05Ec1ahqNkYZWg3d0u/sWpfbhjeoxuRNR6kZ4Fn4WI0r5BmM9KllPh5/8NcR/FyceKWVeYKRHw9coE6gFyGeLmQV3sOYkJlLv9rm9K5qFY0q+zB99xnUDkoquTlxJC6VdedieL1NdInlKEvDurfnw1kLqRUeSu2qofy2YQd5ugJ6tzNPTvbB9wvw9/Lg5SHm9jJnzWZm/bGeT156ikp+3pb7Ep01apwLR1BsPnAMTzdXAn29uHwznq/mL6dd4zo0r3v/UQ1l6cB5E22iC9tUTmGbyoXzMUVtakQnBedjZA5dLGxT9QvbVA6oVYVtKkBi4dai9lIvQiJFK5OrM0/M0rWxgv3nZVLv8dzAsjCiTX3e/30LtYP9iQ72Z8HuE+TpDfRrbB6B9d6Szfi7u/Ba9xbm41Sg9aix2xOu3bl8ZLsGvP3bRhqFB9GkamX2XLzJznPX+fm5fvatzB0ete30T6AQPYxlqlQB4y+//MKYMWPw9vYmPT2dn3/+mWnTpvHKK6/wxBNPcPr0aWrWvP+wybLg0SiaFlvmW97X+vJdAGLmLefksxNRV/LDKaSoZyTveiyH+oyl1lcTCXvlKfJjEzg1dpLlGYwA8Uv/xNHPm8jJr6IO9CPzxDkO9hpNwV0T4dhbq+6jKdDlsWbuB+TnZhJavRHDx/9k9QzGtKSb5GYVXRE7vM38LMU5nz9llVffZz6lQWvzA++7Dp2IJClY8t1rGPUFVI1uTc8RH9i9Pt0a1iQ9O4/v1u8mJTOHqGB/vnthED6FQx0T0jOLXV2+n+2nL/PBwqJ7et6ZYz7her5bS17o0brsCn8f3fqPpECXx/wfPiE3J4vqNevz2vv/s3oGY3JCLNmZGZb3TVp3JSsznVWLviezcPjqa+//zzIkFaBz72Ho9QUs+fUrcrK1hIRF8vrk7/APtN9wpm4Napi304Y9pGTmElXZj+/GDrRMhFPa7ZSkzWb76SsADP5yvtVnP780mCbV7FeXu7XoNoaCgjzWzTe3qZDqjRj62s9WPYLpyTHkZhe1qSPbzW1q/pfWk/r0HjWVeq0GEH/zDHHXTgDw3XtdrNK8PHULnr7Fnx9aVro2qUN6Vg7fr9pCamY2USGVmPnaU5YhqQlpWhRS0WXmfJ2eTxeuISk9E7VKRVglXz559nG6NjFftFEoFFyKTWTNvuNk5ebj5+lGi1rVeLFfJxxV5fcsxr3nZFQOMj2bKNA4ws1kmd+2Wz+HzMtVwjznivmkyVkNfZsrcXUyX0FPzJBZuN1kmW3VJMPi7UY61lfwRDsljg6QnmV+ZMflePteZddfOIrk7IqmVU8kFzeMSXHk/PEdcq75bE3h5mU1/FTOyiDnj+/QdBiA66iJmLIzKDiyA93BTZY0Cmc3nHuMQHJxR9blY0q5Re7S7+6ajdV+HousTHqejh/2nyc1R0eknzsz+ja3PCojISvPanK8LF0Bn2w9TmqODneNihr+nswe1IYIn6LRIp92a8z/9p5l0sYjZOYXEOjuzIstavJ4nbDyqVOLhqRnZfPDH+tJ1WYSWSWYGe88j4+HuYwJqelW+75lm/egNxh5Z/qvVvmMGdCNsQO7A5CSnsnXC1aSqs3C19Odnm2aMLr//S+ol7W9Z2UcHWR6NStsU0kyC7fdu025qKFfizvaVLrMwq0mq1k8fd0lOtVX4ORY+Kia0yb2n7d/r1W3etVJz8nju78OkJKVS1SQL98908sysV5CRlapzyc6RUcwqX87Zm87yuerdxHm58lXw7vR0MYoKHt51LaT8OiRZPnBx3zUrVuXESNG8NZbb7Fs2TIGDRpE8+bN+f333wkO/vsnR+tUtu/7+rfqqb/Aoj2PVsMc2koif+MvFV2MMqXp+iw7z+TcP+G/SNvaLuSv/7Gii1GmND2eY/7Oii5F2RvRFnJ3/l7RxShTzm0H8/Ei+z6Lsry9P9QB7RcVP+FUWfJ4awbZM9+u6GKUKdeX/kvW4Q0VXYwy5da4Gx8tfLTa0wfDHMhfaZ+J4yqSpt+rj+S2+jfaXa9hhX136xPl+7zV8lCqX8GVK1cYNGgQAAMGDMDBwYEvvviiTIJFQRAEQRAEQRCEv0tSiCGpZalUk97k5eXh7Gzu9pckCbVaTaVKxSfEEARBEARBEARBEP79St3P/PPPP+Pqar5PxmAwMGfOHHx9rSe/ePXVV8umdIIgCIIgCIIgCKUg2ZouVnhopQoYQ0ND+emnnyzvAwMDmT/fejILSZJEwCgIgiAIgiAIgvAIKFXAeP36dTsVQxAEQRAEQRAEQfinKVV/7datW6lVqxaZmZnFPtNqtdSuXZtdu3aVWeEEQRAEQRAEQRBKQ6GUKuz1KCpVwPjNN98wZswY3N3di33m4eHB2LFjmTZtWpkVThAEQRAEQRAEQag4pQoYT5w4Qbdu3Ur8/LHHHuPIkSN/u1CCIAiCIAiCIAgPQ1JIFfZ6FJUqYExMTESlUpX4uYODA8nJyX+7UIIgCIIgCIIgCELFK9WkN5UrV+b06dNUq1bN5ucnT54Uz2UUBEEQBEEQBKHCPKr3ElaUUvUw9ujRg/fff5/8/Pxin+Xl5TF58mR69epVZoUTBEEQBEEQBEEQKk6pehgnTZrE8uXLiYyM5OWXXyYqKgqA8+fPM3PmTIxGI++9955dCioIgiAIgiAIgiCUr1IFjAEBAezdu5cXXniBiRMnIssyAJIk0bVrV2bOnElAQIBdCioIgiAIgiAIgnA/khiSWqZKFTACVKlShfXr15Oens7ly5eRZZnq1avj5eVlj/IJgiAIgiAIgiAIFaTUAeNtXl5eNGnSpCzLIgiCIAiCIAiC8LdIilJN0yLch/hrCoIgCIIgCIIgCDaJgFEQBEEQBEEQBEGwSZJvz1wjCIIgCIIgCILwL3e0U+sK++6GW3ZX2Hfby0Pfw2gPi/Y8WrHr0FYS61RRFV2MMtVTf4Exn6ZWdDHK1E/v+rDnbHZFF6NMtarlyvOfp1d0McrUD+94kX1gTUUXo8y5NuvNU+/HV3QxytS8jyuR+uHoii5GmfL58Gemr3m0jlGv9Zb4ZvWjVadxfSSmLNBXdDHK1OThKm5dOFnRxShTQVF1mTSnoKKLUeY+GeVI7o7FFV2MMuXcbkhFF0H4B/hHBYyCIAiCIAiCIAh/h0I8VqNMiXsYBUEQBEEQBEEQBJtED6MgCIIgCIIgCI8MSSF6GMuS6GEUBEEQBEEQBEEQbBIBoyAIgiAIgiAIgmCTGJIqCIIgCIIgCMIjQ1KIPrGyJP6agiAIgiAIgiAIgk2ih1EQBEEQBEEQhEeGmPSmbIkeRkEQBEEQBEEQBMEmETAKgiAIgiAIgiAINokhqYIgCIIgCIIgPDIUSjEktSyJHkZBEARBEARBEATBJtHDKAiCIAiCIAjCI0NMelO2ShUwfvTRRw+U7oMPPniowgiCIAiCIAiCIAj/HKUKGFesWFHiZ5IkceHCBfLz88s1YJRlmW0rZ3B051LyczMJqdaQXk9NxicgrMR1dq2bxbkjm0iJv4qDo4aQag3o8vgb+FaKsKTR63X8tfhzTh9ch8Ggp1p0K3oOn4yrh69d6+PdujERbzyLR8NoNEH+HB74Iomrt9x7nbZNqfXlBFxrVSc/Jp7LU78ndp71tqrywpNEjH8WdaAfmSfPc2bcx2gPnbJnVYrp09aJNvU1OKslLsfqWbghh6R0U4npe7dxok8bZ6tl8alGPpiVYXk/vLsLNcNUeLoq0OllrsQaWLYth4TUkvMtS7Iss3LRD+zcvILcnGyq1ajHU2MnEhAUes/1tqz/nQ0r56HNSCUkrDrDRr9NRGS0zfy//vhVTh/by8sTvqRhsw72qoqV3q01tK6nxkktcSXOwKK/cu+5rXq10tCrtZPVsoRUIx/+nAmAs0aid2sNNcNUeLsryM6TOX6xgNW78sgvsGtVAPh98x7mrd9OqjaL6iGVeHtEf6Kr2t5GWw+dYvaaLcQkpWAwGAkN9GN493b0bNXIKs0f2/Zx/los2pxcfvv4daKqVLZ/Re4yoKMr7Rs746xRcOlmAXNWa0lMM5aYvn8HV/p3dLNadivZwIRvkwHw9VQy7Q1/m+vOWJzOoTP5ZVd4G9RNOuDUqisKVw8MCTHk/rkIQ9y1EtNLGiecO/bHsWZDJCcXTNpUcjYsQX+paN+mcPPEucvjqKpFI6kcMaYlkb3qV4y3bti1LrfJssyhjTM4e2ApurxMKoU3pO2AyXj6hZW4zum9izi9bxFZaXEAeAdWo3Hnl6hSs60lzZn9S7h0dC3JcWfR63J49uODqJ3c7V0doLBOf83gXGGdAsMerE5n9i0iK72wTgHVaNTlJarUKKrT2f1LuHSsqE7PfFR+dbqtfV0FDasr0KggJllm3UEjaVklp29cXUHjSAWeLub3SVqZnadMXL4lW9J4uUKXhkpC/SUcFHA5XubPQ0Zy7NucWLFuA0tWrCYtPYOq4VV49blnqBlZ3Wbaazdj+HXhEi5euUpiUjIvPTuKx/v2tEpjNBqZu2gpm7bvJC0jA19vb7p2bM+IJwYiSeXbm9OpvpLGkQo0jnAzSWb1PgOp99hOd2pbR8FjjRzYe9bI+oNF+8vGkQrqRSio5C2hcZT45LeCcjk+ASzZdoC5f+0lVZtNZHAA7wztQXR4sM20W46e5Zc/dxGTlIbBaCTU34cRXVrSq0U9q3RX45OZvmwTRy9ex2AyEVHJjy+ff4JKPp7lUKOKJynEXXdlqVQB47Fjx2wuP378OBMmTOD06dOMGTOmTAr2oPb8+TMHNs+n/+jP8PQNZtuK6cz/ajQv/WcdKpXa5jrXLxyiSccnqRxeB5PRyJblXzN/2mhe+mQtjmpzgLJx0VQuntzBoBeno3FyZf3Cj1ky8xWefXeRXeujdHEm8+QFYuYso/EfM++b3iksmCarZ3Hzx8Ucf+pNfDq2oM6sT8iPTyZl024AKg3qTs0vJnL6pclkHDxB+KsjabbuF7bX7kZBcppd63Nbt+YaOjXWMHtNNikZJvq1c2bcEHc++DEDQ8nnt8QlG5j2W6blvemumOVGvIEDp3WkZZpw0Uj0bmPOd+J3GcgydvfnirlsXreY0a9OwTegMit++56vPnqZ/3y7FJWj7d/fwd1/seTXaYx4/l0iIqPZtOY3pn30Mp/+bznunt5WaTet+a3cD8SPNVPToZGauetySdGa6NNGwyuDXZnyc+Z9tpWR6UuKjtjGO7aVp6uEh6uCZdvyiE814uOu4Mmuzni6KfhxZY4dawN/7T/OtN9W8+6ogURXDeW3jbt4+YufWP7ft/F2dyuW3t3ViWf6dCK8kj8ODkp2HT/HlJ+W4OXmSsu6UQDkFRRQPzKMLk3r8cnspXYtf0l6tnGhS3MXflqeQXK6kYGd3HhrpDcTZySjN5S8Xmyins/nFLV7o6mooaRqjbzyeaJV+vaNnenR2oWTl3RlXoc7OdZugkvXweSsXYAh7iqa5p1xGz6OjP9NQs6xcSaoVOI+YjymnCyyfv8BU1Y6Cg8f5PxcSxJJ44z7sxPQX7tA1sLpmHKyUPr4I+flFs/PTo5t+5mTu+fTachnuHkHc3DjdNb+NJohb63DoYRjlKtHAC16vIGHbxVA5vzhlfw55yUGv74c70DzCb+hIJ/QGm0IrdGG/eunlVt9AI5v/5lTu+fT8YnPcL9dp59HM+TNe9TJM4Dmd9TpwuGVbJjzEoPGFdVJr88nJKoNIVFtOPBn+dYJoFUtBc1qKFi510h6tkyHekqGd3Rg5hqD1f7sTpm5MpuPGUnLMrej+hEKhrRTMmu9gWQtqJQwvJMDieky8zabG2aHekqGtlfy84Z77FD/pq279vD9L3N5/cXnqBlZjT9Wr+Ptyf9h3vfT8fL0KJZep9MRFOhP+1YtmPnLHJt5Llq2ilV//sWEcS8RHhrChctX+Pzb73BxcWZg7x52q8vd2kQraF5LwbJdBtKzoXMDJSMfU/HtSv09j1EAlX0kmkQqiU8rvkFVDnApzsSlOHisUfndsbXx0Gm+WrqR94b1Jjq8Mr9t2c+L0+ez8qNX8HZ3LZbew8WJ0T3aEhboi0qpZNepC3w4dyXe7i60rF0NgJikNJ757y/0a9WQF/p0wEWj5sqtJNQqcSea8HD+Vvh97do1hg8fTpMmTfDw8ODMmTP88MMPZVW2+5Jlmf2b5tG29/PUaNCJwJAo+o/+nKyMJM4f3VzieiPG/0yD1gPwr1ydwNAa9HtmKtrUW9y6fgaA/Nwsju5aRtch7xBRszlBYdH0fWYqMZePEXPluF3rlLxxJxcnf0PiqpLLf6cqzw0h71os597+nOzzV7nx3UISlm0k/LVRljTh454m5pffiZ27nOxzVzj14mSMufmEjBpop1oU16mpE+v25HHikp64ZCOz12Tj6aagQZTjPdczmSAzR7a8svOso8Bdx3VcijGQqjVxM9HIyh25+Hgo8fWw/5UlWZbZtPY3eg96lgbN2hMSVp3Rr00hIy2Zowe2l7jextULaNulP2069aFySARPPf8ujmoNu7asskp389oFNq5ewDMvl+8Q706NNfy5L58Tl83b6te1OXi6KqgfqbrneiaTbLWtcu7YVrdSTPy4ModTV/SkZJi4cNPAqp151Kmqwt63GSzYsIP+7ZvRp21TIioH8u6ogWjUKlbtOGQzfeOa1ejYuA7hlQMICfDlya5tqBZSieMXi3q6erZqxHP9HqNZbdtX68tD1xYurN6RzdHzOmISDcxaloGnm5KGNTX3XM9oAm22yfLKzi3aTrJs/Zk220TjWhoOns5HV2DfKzCaFl3QHd2F7vgejMnx5KxdAPoC1A1a20yvbtAaycmFrMUzMcRcxpSRiuHGRYyJsZY0Tq27Y9KmkbPqVwxx1zBlpKC/chZTerJd63KbLMuc3DWPRp2fJzy6E75BUXQa8jk5mUlcO13yPj6sdkeq1GyHp18Ynn7hNO/+OipHZxJunLCkqdd2JA07PkdAaL0S87EHS506mevkExRFxyGfk5uZxLUz96hTLes6NSusU+LNO+rUprBOVcq3Trc1q6lg5ykTF2JlkjJg5V4jbs5QI6TkndTFOJnLt2TSsiAtC7aeMFFggGBf8zoh/hKeLrByn5GkDCz5BvlIhAfab+e3dNVaej7Wie6dOxAWGsL4F59Do3bkz81bbaavUb0azz/9FB3btkKlsr2vP3P+Aq2aNaZFk0YEBvjTrlULGtevx/mLl+1WD1ta1lKy/YSR8zEyiekyf+wy4OYMNUPvfdx3dIBBbR1Yuddgs+dw31kTO0+ZiEkuh6vNd1iwaS8DWjeib6sGVA3y571hvdA4qli5x3YnTeOocDo2qElEJT9C/L15slMLqlcO4NjlolET/1u5hdbR1Rn3+GPUCK1EiL837evXsBmACsKDeKiz6pSUFF555RVq1KhBfHw8e/fuZcmSJVSvXr4nT+nJsWRrk4mo1dKyTOPsRnBEXWJLEdjl55mvXju5mK+63bpxBpNRb5WvX6UIPHyCSpVvefBsXp+UrfusliVv2o1X8/oASCoVHg1rk7Jlb1ECWSZl6148mzcolzL6eirwdFVw7presixPJ3P1loGIyve+2uXvpeSLV7z49AVPRvdxxdu95J+sowpa1VOTnG4kLdP+Q1KTE+PQpqdSq14zyzJnFzciqkdz5cJJm+sY9HpuXDlPrXpNLcsUCgW16jblyoWiYXQ6XR6zpr3H8DHv4OFl32HQd/L1UODhquDc9aIuqvwCuHbLQETQ/bfVZy968PFYd57p5YyX271PhpzUEvkFMiY7Hpv1BgPnr8fRtHakZZlCoaBpreqcunz/IYmyLHPwzCVuxCfRsEbEfdOXFz8vJZ5uSs5cKer1y9PJXI0toFrIvS/CBPoomf6WP1++7sfzj3vic4+LK2FBDlSppGLHETv3yCmVOARVoeDq2aJlskzB1XOogm3/3R2j6mOIvYpLzyfxenMaHi9OwalND7ijR14VVQ/DrRu4Dnoer7em4TH2A9QN29i3LnfITIslNyuZkOpFxxK1kxsBoXVJuHH8gfIwmYxcOrYOfUEugVXq26egpZBVWKfgu+rkH1qXxNLU6bi5TgH/gDoBeLqCm5PE1YSiY4dOD7EpMiF+DxbYSRLUriKhcoCYFPOOzaGweRnv6PkyGM0XZ0L97RMw6vV6Ll6+SqP6dS3LFAoFDevV5cz5iw+db+0aURw9eZqYuFsAXL52ndNnz9O0UfmcS4B5eK+bs8SV+KIDh04Pscn33069myu5EGuyWrei6Q0Gzt2Mp1nNov2cQqGgWc0ITl6Nue/6sixz4NxVriem0Kh6GAAmk4ndpy4SGuDDi9/Mo+Mb/2XEpz+y7dg5e1XjH0lSSBX2ehSVqm86JyeHL7/8kmnTplGtWjXWrFnDY489Zq+y3Vd2pvkqsau7j9VyF3dfsrUpD5SHyWRiw6JPCanWkIBg80lltjYZpYMKJ2freydc3H0eON/yog7wRZdoXSZdYgoqDzcUGjUqLw8UDg7oklLvSpOKS1T5nAB7uJiPmJk51kFcVo7J8pkt1+IM/Lo2m4RUI56uCnq1ceLtEe5M/ikD3R1XB9s3VDOwowsaR4n4VCNfL8oscfhQWcrMMP9N3T2sh5G6e3qjzUi1tQpZWRmYTEbcPXzuWseH+LjrlveLZ0+jWo26NGjWvkzLfD/uruYdXbFtlSvjfq9tFW9g7vocEtNMeLhK9GzlxJvD3PhodqbVtrrNxUmiR0sNu4/bd5hjRlYORpMJn7uuqvp4uHE9PqnE9bJy8+j+2scUGAwoFQomPDWA5tGRJaYvbx6u5m2hzbbeTtocE56uJW+nK7F6flyuJSHFgKebgn4d3HhvtA/vzkgh30YPYruGzsQl6bkco7eRW9mRnF2RFErk7Eyr5XJOJpJvoM11lF6+KMJroDu5n8yF01F6++PScxgolOTtWFOYxg9lk/bk7fuLvF3rcKgcjkv3oWA0ojux12a+ZSk3y3yMcnKzbu9Orr7kZt37WJIaf4FlM4ZiNOhQOTrTfdT/8A6sZreyPqiS6uT8gHVa/r+iOnUb+T+8Ayq+TgCuGvO+7+77CnPywUVz7xNAf094tqsDDkooMMCSHUZStObPYlNkCgzQuYGCLcdNSJj/r1BIuDndK9eHp83MwmQyFRt66uXpwc24uIfO98nH+5Gbl8vIF8ehUCgwmUw8O3woXdqX30UYVyfztrh7tFF2nnzPv2edcAWVfCR+WHuP8foVID07F6PJVKznz8fNlevxJbenrNx8ur7zFXq9AYVCwcQne9K8VlUA0rJyyNUV8OuG3bzUtyOvDezCntOXeeOHJfw4fhSNo8LsWSXhEVWqgLFq1apkZWXxyiuvMHToUCRJ4uTJ4j0pdevWtbF2EZ1Oh05nfaKoVquBe18ZP7lvDWvmTba8Hzbu7w9/Xb/gI5LiLvHMxN/+dl6CWbPajgzvXrTzm/F75j1Sl+z01aKT1LhkI1dvGfjsJU+a1FSz+0TR7+fAmQLOXtPj4argsWZOjO3vxmfztPe9l6G09u1Yz7wfPrW8H/fe9LL9gkLHDu7g3KlDfPiV/X+TTWs58mTXoomFZv6R/VD5nLladBCOS4Zrt7L59AUPGtVwZO9J64hR4wgvP+5KfKqJNXvsPOvDQ3LRqFn0yXhy83UcPHuJaYtWU9nfm8Y1K+bktkVdDU/3KTr5+2pB+kPlc+d9iDGJcCU2jWlv+NM0WsPOo3lWaVUO0LyuE6u2P9xvwu4kCVNOJjlr5oEsY4y/gcLdE6eWXS0BI5KE4dZ18raYJwEzJsSg9K+MunE7uwSMF4+uYfsfRceons8+/DHK0y+cJ8avQJefxZWTG9myeAL9Xphf7kHjxaNr2LHsjjo98/fqNPj1FRQU1mnrkgn0fWF+hQSNdcIkejVTWt7/tu3hDxgpmfDDOgMaR6gVqqBfSyVzNhlI0UKuDpbuMtKzqZJmNRTIMpy6LnMrVS6X++zL0vbd+9i8YzeT3niNsNBgLl+7zsyf5+Dj7UW3Tu3t8p31IhT0aVG0neZvLn3A5+EMPZsq+fUvQ5mfF1QUF40ji99/njxdAQfOXeWrpRsJ9vOicVQ4psIfVvv6NRjexTwSICqkEieuxPDHzkP/bwLGf1tP38yZM/niiy9ISEigXr16zJgxg6ZNm5aY/ptvvuH777/n5s2b+Pr68vjjjzN16lQ0mnvflvKwShUwJiWZr8j/97//5YsvvkC+Y28nSRKyLCNJEkbjvVvk1KlTmTJlitWyyZMnE9VlcglrmEXV70DliKJg1Ggwn4hmZ6bi5lk0s19OZgqBoTXvW591Cz7i4ontPD1hAR7eRVexXT38MBr05OVmWvUy5mSm2n2W1NLSJaagDrAukzrAF702C1O+joKUdEwGA2p/n7vS+KBLsE9v6fFLBVy9lWF5r1KaG627iwJtTtFvw81FQUzig+/883QySWkm/LyUxZbn6WSS0k1cjcti+nhvGkY5cvBs2U5vVr9pOyIi61jeG/Tm/DO1aXh6+1mWZ2akERpuuzfKzc0ThUJJpta6BzIzIxUPT/N2PHfqEMkJsbw8vL1Vmpn/fZvImg1455Mfy6I6AJy4XMC1W0XbwKFwj+DuoiDzzm3lLBGb9OBH2jydTGKaEX9P694utSO8MtiN/AKZH5ZnF5vEqKx5urmgVChIzbQOelK1Wfh6lDz7okKhIKSwXUVVqcy1W0n8umZrhQWMx87ruBJb1F5VDuY25eGqsOpl9HBRcCPhwdtUbr5MQoqBAJ/ih4ImtZ1QqyT2HM+zsWbZknOzkU1GJFfrbSK5uCNna22uY8rSIpsKx/YVMibHo3DzBKUSjEZMWVqMyfFW6xmT41HXbFjmdQAIq9WBJ8YXP0blZaXi4l50jMrLTsEn6N7HKKWDY+EEMeAfHE1yzGlO7p5H+8cf7PFWZSWsVgcCQu9fp9zsFHxLUSe/4GiSYk5zatc82pVznQAuxMrEptyx7ys8rLhoIPuOn7yLBhLT7x3ZmUyQXriLiU8zEeQj0byGgrUHzG3zarzMjFUGnNTmtDo9vDHQgTN2mqjXw90NhUJBeoZ120nP0OLt6fnQ+f4wZz5DB/ajY9tWAESEVSExKYXf/lhht4Dx3E0TMclF+ziHwvMJVyfJqpfR1UkiPs32dgrylXB1knixd9F+TqmQqBIg06yGgg/n6yssePdydUapUJB29zEqKxsfj5LvN1QoFIQWntdFhVTiWkIKs//cReOocLxcnXFQKIio5Ge1TkQlX45dvln2lRD+tiVLljB+/Hh++OEHmjVrxjfffEPXrl25cOEC/v7FZy7/7bffmDBhArNnz6Zly5ZcvHiRUaNGIUkS06bZZ8KwUgWM166VPL15aUycOJHx48dbLVOr1Sw/fO/11E6uqJ2KGpAsy7h6+HHt7D4qFQaI+XnZxF49SeMOQ0vMR5Zl1i/8mPNHNzPqnXl4+VlPXRxUpTYKpYprZ/dRq3FXAFLir6JNvUVw1fqlqKn9Zew/jl/3tlbLfDu1JH3/cQBkvR7t0TP4dmxR9HgOScKnQwtufLfALmXSFUBygXUkkJFtokaYipjCoEPjKBER5MCOow/ew6RWgZ+XAu3pkqMMSQKkooNKWXJycsHJycXyXpZlPLx8OHvyIKHhhbNn5mZz9dJpOnR73GYeDioVVarW4NzJQ5ZHZJhMJs6dOkTH7oMB6DlgFG0797Na74NxTzDk6fHUb9L27iz/FlvbSpttokYVB0uAqHGE8CAHdpZi+KhaBX6eCg7kFB2FNY7w6mA3DEaZ75Zll8uVXpWDAzXCKnPozCU6NDI/tsRkMnHo7GUGd271wPnIJhm9oeKGMuUXyOTf9biMjCwjtSLU3CwMEDVqiYhgR7YcevD7DdWOEv7eDuw5UTwobNfIiaMX8snKLYfx3UYjhls3UIXXRH/+uHmZJKGKqEH+wW02V9HHXEZdp5m50Ree7Sl9AjBlZVhuGDPEXEbpE2C1ntInAKPW9pDxv8tR44qjxvoY5ezmR+ylffhWNh+jCvKzSbx5ktotSj5G2SKbTJZgrTyVWKfL1nVKepg6yRVTJzAPHS24q/M8K08mIlBBYuEjhBxV5slrDl8sXRuQJHNAcre8wl1oWICEiwYuxNqnbalUKiKrRXD0xClaNzf3UJhMJo6ePEX/nt0eOl+dTofirlm7FQqFVedBWSswcNdjTWSycmWqVpJIKAwQ1SoI9pM4eMH23/PKLZlvV1oPqx/QWklK4SNQKrKnV+XgQM3QShw4f5UODcztyWQycfDcNZ7oUHLv0t1kk0xB4UFV5eBArbDK3LirU+BGYur/m0dq/NtMmzaNMWPG8PTTTwPwww8/sG7dOmbPns2ECROKpd+7dy+tWrXiySefBCAsLIyhQ4dy4MABu5WxVAHjM888w0svvcSAAQNsfp6SkkLTpk25evXqPfNRq9WFQ1DvVrpWK0kSzbs8xc61P+AdEIaXX2W2rvgWN09/ajTsbEk394tR1GjYmWadhgPmnsVT+9cy9NWZOGpcyNKa78nQOLmhctSgcXajYZuBbFzyOU4uHqidXFm/8BOCq9YnxM4Bo9LFGZdqRc+Hcw4Pxr1eDQrStOTHxBP1yXg0lQM48fQ7ANz4cTFVXhxGjalvETNnGb4dmlNpUHcO9RlryePaN79Sb/bnZBw5jfbQScJeHYmDixMxc5fbtS532nIwj56tnEhKN5KSYaJvW2cyskwcu1B0sjD+SXeOXShg2xFzEPl4R2dOXi4gVWu+L6tPWydMMhw8az7q+noqaFLTkTPX9GTnyni5KejWwgm9XubUFfufhEiSRJdeT7J26S8EVArFLyCIFb99j6e3Hw3vuPfwiw+ep2HzDnTq8QQAXfsM5+dvJxNWtSbh1aPZtPY3dPl5tO7UBwAPL1+bE934+AXiF2D/Z/1tOZxP95YaktJNpGQY6dPGiYxsE8cvFh1wxz3hyvFLerYfNW+LgR2cOHlZT5rWhIebRO/W5m11qLCXV+MIrz7hhqMDzF6bi5NawqlwF5CVa9+hWcO7tWPyT4upGR5MdEQov/21izxdAX3aNgHgg1mL8PPy4JXB5mnhZ6/ZQq3wEIL9fdDrDew+eY51e48wcWTRrMLa7FwSUtNJzjAPt74Rb96H+Hi44etZPs+N27gvh77tXUlMM1geq5GRZeTouaKLMO+M8ubIuXw2HzAHkUO6unHsgo7UDCOebgoGdHTDJMvsP2l94cbfW0lUFUe+mv9wQ18fRv6+Tbj2fwbjrRsY4q6had4ZSaVGd2wPAK79n8GUmUHuFvN+S3doO5qmHXHuNoT8g1tRevvj1KYn+QeKnlubt28THs9OwKlND3RnDuNQOQxNo7Zkr5lXLnWSJIm6bZ7iyJYf8PALw927Mgc3fIuLuz/h0UXHqFU/jCIiujN1WpuPUfvWf0WVqLa4elVCr8vh4rG1xF09SO8xP1vWyc1MJjcrBW2quccgNf4ijmoXXL0qoXH2LJ86+RbWaeO3OLv7E167qE6rZ40iPLozdVqZ67R//VeE1miLq6e5TpeOreXW1YP0Gm2jTinlW6fbDpwz0SZaQWqWTEbhYzWycuF8TNEOakQnJedjZA4VBpGd6iu4dEtGmyOjVkGdMAVhARILthRd4KkfIZGcae7RD/aT6NZYyf5zJlIf7m6NBzKoby8++2YmkdWqWh6rkZ+vo1sn84XKT7+egZ+3N2NGDgPME+XciDHPMGwwGEhJS+Xy1Ws4aTRUDqoEQIsmjViwdDn+fr6Eh4Zw6eo1lq5aQ/fOHe1XERv2njXSvq6S1EyZ9Czo1NC8nc7dLAoYn37MgbM3TRw4b561NinD+iCjN5iHC9+53NXJ3FPpXThhW4CnhM4A2myZPDueUgzv0pIPfl1BrSqVzY/V2LyPvIIC+rYyTyY0afZy/D3deHVAFwB++XMntatUJtjPiwKDkd2nLrJu/wkmDutlyXNk11a88+NSGkZWoXFUOHtPX2bnyYv89MYo+1XkH+bfMiS1oKCAI0eOMHHiRMsyhUJB586d2bdvn811WrZsyYIFCzh48KAl7lq/fj0jRoywWzlLFTBu27aNHTt28N577xUbUgrmh7reuFE+D0O+rVX30RTo8lgz9wPyczMJrd6I4eN/snoGY1rSTXKzik58Dm8zP0txzudPWeXV95lPadDaHAx3HToRSVKw5LvXMOoLqBrdmp4j7P94A49G0bTYMt/yvtaX7wIQM285J5+diLqSH04hlSyf512P5VCfsdT6aiJhrzxFfmwCp8ZOsjyDESB+6Z84+nkTOflV1IF+ZJ44x8FeoylIss9Vdls27M/H0VFiRHdXnDUSl2L0TF9i/Vw/P08Frs5FDdzLXcGYvm64OElk55q4FGtg6hyt5TEAeoNM9RAVnZs64ayRyMwxcemmgc/macnKLZ9Lht37j0SXn8fc7/9Dbk4W1WvWZ/z7M6yewZiUEEtWZoblfdPWj5GVmc7KxT+gTU8lJDyS1z+YgYenj41vKH9/HdChVkkM6+qMs0bicqyBGb9b9wj6eSkskw8AeLopeLa3i3lb5clcjjXw+fwsy5Ch0AAHyyyrn4y1nojhve+1pNpxVtvHmtcnPSubH5ZvJFWbRWRoEDPeGo2Ph/kZjAmp6VbPuszXFfDZ3OUkpWWgdlQRVsmfT8Y+yWOFMw8D7Dh2hik/LbG8n1jYW/9cvy6MHdDVbnW507pdOahVEk/38cBZo+DSzQK+nJdm9QxGf28lbs5Fw4K9PZS8OMgTV2cFWTkmLt4s4KNZqcV6Eds2dCY908TpK/adlOhOBWcOkeviilOHvihc3TEkxJC14BvkHPNZtcLDx6onw5SZTtb8r3Hu9gSeL3yIKTOd/AObydv9pyWN8dZ1spZ8h3OnATi1640xPYWcDYspOGW/q7B3a9BhNIaCPLb/8QEFeZlUCm9ErzE/WT2vMDP1Jnk5RceovOw0tix+h5zMZNQaN3yCoug95mdCIot6xU/vW8zhTUXP6l35nTkw6/jEp9RoYvuiblmp3340+oI8dvzxAQX5mQSGNaLX6OJ1yr+rTlsL6+SoccOnUhS9RlvX6cx+6zqt+t5cpw6D7V8ngD1nTagcoHczpeWB8Au2Wj+D0dtNwllT9Dt00Uj0b6nA1ck81DQxXWbBFiNXE4rS+LhLdGqgwMkRMnJg12kT+8/Zt+e+Y5tWaLWZzPltCWnpGVSNCOPzD9/D28sTgKTkFKvewtS0dMaMe9vyfsmKNSxZsYZ60bX45lPz+d6rzz3L7IWLmf7Dz6Rrtfh6e9O7WxeeesL2iBp72XXahKODRN+WDubtlCgzd5P1Mxi93aX7TlZ0t6ZRSjrWL7rlZUwP8+NFlu02cOyy/bZX1ybRpGfl8P3qraRmZhMVHMjMV0dYJmtLSNNabat8nZ5Pf1tLUnomapWKsEBfPnl2IF2bRFvSdGxQk/eG9WL2hl38d/GfVAnw5Yvnn6BB9Sp2q4dQpKS5Wmx1lqWkpGA0GgkIsB4NExAQwPnz523m/+STT5KSkkLr1q2RZRmDwcDzzz/Pu+++W3aVuIskl2IsgUKhYNasWbz55pt07NiRBQsW4OJSNEQvMTGRoKCg+97DWJJFe/5ld4Dfx9BWEutUURVdjDLVU3+BMZ+WX6BZHn5614c9Z/+hE3s8pFa1XHn+8/LrHSoPP7zjRfaBNRVdjDLn2qw3T70ff/+E/yLzPq5E6oejK7oYZcrnw5+ZvubROka91lvim9WPVp3G9ZGYssC+s/qWt8nDVdwq4VFN/1ZBUXWZNKdihiPb0yejHMndsbiii1GmnNsNqegiPJRLw3pU2HcvrN7U5lwtH374YbG0t27donLlyuzdu5cWLVpYlr/99tvs2LHD5jDT7du3M2TIED755BOaNWvG5cuXee211xgzZgzvv/9+mdcHStnDCNC3b19at25N3759ad68OatWrSIi4p/zfDJBEARBEARBEISKUNJcLbb4+vqiVCpJTEy0Wp6YmEhgoO3HSr3//vuMGDGC0aPNF2br1KlDTk4Ozz33HO+99x4KRcmP13pYD5VjzZo1OXToECEhITRp0oTNmzeXdbkEQRAEQRAEQRBKTaGUKuylVqtxd3e3epUUMDo6OtKoUSO2bCm6/95kMrFlyxarHsc75ebmFgsKlUrzcGp7TUL10CGoh4cH69atY8yYMfTo0YOvv/66LMslCIIgCIIgCILwSBs/fjw//fQTc+fO5dy5c7zwwgvk5ORYZk196qmnrCbF6d27N99//z2LFy/m2rVrbNq0iffff5/evXtbAseyVqohqdJd0ylLksRnn31G/fr1GT16NFu3bi3TwgmCIAiCIAiCIDyqnnjiCZKTk/nggw9ISEigfv36bNiwwTIRzs2bN616FCdNmoQkSUyaNIm4uDj8/Pzo3bs3//nPf+xWxlIFjCV1cw4ZMoQaNWrQr1+/siiTIAiCIAiCIAjCQ/m3PFbjtpdffpmXX37Z5mfbt2+3eu/g4MDkyZOZPHlyOZSs8DtLk3jbtm14e3vb/Kx+/focOXKEdevWlUnBBEEQBEEQBEEQhIpVqoCxXbt29/zcx8eHp5566p5pBEEQBEEQBEEQ7EWyw0yh/5+Jv6YgCIIgCIIgCIJgkwgYBUEQBEEQBEEQBJtKNSRVEARBEARBEAThn+zfNunNP53oYRQEQRAEQRAEQRBsEj2MgiAIgiAIgiA8MkQPY9kSPYyCIAiCIAiCIAiCTaKHURAEQRAEQRCER4Z4rEbZEn9NQRAEQRAEQRAEwSYRMAqCIAiCIAiCIAg2iSGpgiAIgiAIgiA8MsSkN2VLkmVZruhCCIIgCIIgCIIglIWYFwdW2HeHfLeswr7bXv5RPYz5G3+p6CKUKU3XZxnzaWpFF6NM/fSuD+tUURVdjDLVU3+Bs5dvVXQxylStakHceK5fRRejTFX5cSVTFugruhhlbvJwFen/eaGii1GmvN77ni7DjlR0McrUpoWNyJr+RkUXo0y5vfYVt14fWtHFKFNBXy8ib+v8ii5GmXLqOIKpvxsruhhlauJgJZnfjK/oYpQ593HTeG16VkUXo0xNf82toovwUMSkN2VL/DUFQRAEQRAEQRAEm8okYLxx4wZnz57FZDKVRXaCIAiCIAiCIAjCP0CpAsbZs2czbdo0q2XPPfccERER1KlTh+joaGJiYsq0gIIgCIIgCIIgCA9Mkiru9QgqVcD4448/4uXlZXm/YcMGfv31V+bNm8ehQ4fw9PRkypQpZV5IQRAEQRAEQRAEofyVatKbS5cu0bhxY8v7VatW0bdvX4YNGwbAp59+ytNPP122JRQEQRAEQRAEQXhA4rEaZatUPYx5eXm4u7tb3u/du5e2bdta3kdERJCQkFB2pRMEQRAEQRAEQRAqTKkCxipVqnDkiHmq9JSUFM6cOUOrVq0snyckJODh4VG2JRQEQRAEQRAEQRAqRKmGpI4cOZKXXnqJM2fOsHXrVmrUqEGjRo0sn+/du5fo6OgyL6QgCIIgCIIgCMKDEM9hLFulChjffvttcnNzWb58OYGBgSxdutTq8z179jB06KP1EGBBEARBEARBEIT/r0oVMCoUCj766CM++ugjm5/fHUAKgiAIgiAIgiCUJzHpTdkqVcCYmZlpc7mLiwtKpbJMCiQIgiAIgiAIgiD8M5QqYPT09ESy8UBKpVJJeHg4b775JmPGjCmzwgmCIAiCIAiCIJSGuIexbJUqYNy2bZvN5RkZGRw5coS33noLBwcH8SxGQRAEQRAEQRCER0CpAsZ27dqV+Fnfvn0JCwtjxowZImAUBEEQBEEQBEF4BJQqYLyfdu3aMW7cuLLM8r4W7zzK3K0HScnMIbKyPxMe70ydKpXuu96fR84xYe4aOtSpxjdjBliWbz5xkaW7j3MuJgFtbj5L3h5JjeAAe1bBpj5tnWhTX4OzWuJyrJ6FG3JISjeVmL53Gyf6tHG2WhafauSDWRmW98O7u1AzTIWnqwKdXuZKrIFl23JISC0537Lg3boxEW88i0fDaDRB/hwe+CKJq7fce522Tan15QRca1UnPyaey1O/J3beCqs0VV54kojxz6IO9CPz5HnOjPsY7aFT9qyKlfVrV7By2RIy0tMIC6/K6OdfJTKqZonp9+zazqIFs0lKTKBSUDBPPf0cjZo0t0oTc/MG83/9kTOnT2A0GgkJrcLb707Bz798foOu7bvj8Vh/lB6eFMReJ23RTxRcv2QzbcAbn6CJKv4YndxTh0me8YnlvUNgMF4Dn0ITWRsUSvTxMST/8DnGtBS71cOW9nUVNKyuQKOCmGSZdQeNpGWVnL5xdQWNIxV4upjfJ2lldp4ycfmWbEnj5QpdGioJ9ZdwUMDleJk/DxnJybdzZQB1o3aom3dB4eqOMTGW3L+WYLx1o8T0ktoJTfu+ONaoj6RxxqRNI3fTUgxXzhTPu8VjOHfsT/7BreRtKt/JzEYOrET3Dn64uig5czGbb2ffJC5RV2L6+d9EE+inLrZ89aYkZsyJAaBHB186tvSmWrgzLk5K+o05Tk6u0W51uJOqbiscG7VHcnbDlHKL/O0rMCXGlLyCowZ1yx44VKuDpHZGzkonf+dKjNfPP3yeZcy5VRdcO/ZG6eaB/tZNtMvnoL95xWZan5feR12tVrHl+WePkfbTf0GhxK3HYDQ166P08UfOz0N38RSZaxdjyky3d1UsFm8/zNxN+0jNzCYyOIB3nuhKnbDKNtNuOXaeXzbs4WZyGgajiVB/b57q3Ixezepa0uTmFzB95Va2nbiANiePyj6eDO3QhEFtG9nM057a1JaoHyGhVkFsKmw8YiI9u+T0DapKNKwq4VG470vRwu6zJq4mWKer7ANtoxUE+YAsQ2IGLNlpwmDnpqWq2wp14w6W33/ethWYEm+WvIJag6ZlDxyq1UVSO2PKSkO3YxWG6+cePk876N7ckRbRKpzUEtduGVm6LZ/kDPn+KwKdGzvSu5Wa7ccKWLGzaH/p5izRt7WaqFAlakeJpHQTmw4VcOKywV7V+McQk96UrTINGLVaLR4eHmWZ5T1tOHqOL1dsY9ITj1GnSiUW7jjMC9/9zqpJo/FxcylxvbhULdNWbqNh1eBin+Xp9DSIqEzXBlFMWbzRnsUvUbfmGjo11jB7TTYpGSb6tXNm3BB3Pvgx45474rhkA9N+K5qYyHRXHHgj3sCB0zrSMk24aCR6tzHnO/G7DOQH2yc9FKWLM5knLxAzZxmN/5h53/ROYcE0WT2Lmz8u5vhTb+LTsQV1Zn1CfnwyKZt2A1BpUHdqfjGR0y9NJuPgCcJfHUmzdb+wvXY3CpLT7FeZQrt3buXXn77n+ZdfJzKqJmtW/sFH77/N/36ch6enV7H058+eZtp/P2b4qDE0btKCXTu28Nkn7/Pl9B+pEhYOQHx8HO++/SqdH+vOkOGjcHJ2JubGdVSOjnavD4Bz41Z4D3qG1IXfU3DtIm6d+uD/2mRuffASpixtsfTJ338GDkW7EKWLG5U++Ibcw3styxz8Agl8+1Oy92whY/Ui5Pw8VEEhyHp9udTptla1FDSroWDlXiPp2TId6ikZ3tGBmWsMGEu4XpKZK7P5mJG0LHPjqB+hYEg7JbPWG0jWgkoJwzs5kJguM2+z+eDboZ6Soe2V/LzBvmdMqpqNcOo8kNw/F2G4dQ1N0464DnmVzB8+RM61EQUrlLg++SpybhbZy35EzspA4eGDnJ9bLKmyUhXUDdtgSIy1ax1seaJXAP26+vPfWddJSCpg1KAgpk6ozrNvn0Gvt72Tevn989x5q0pYsBP/fTeSHQeKgg21WsGhk1oOndQyekjx/b69OFSvj7pNH/K3/YEp4Saq+m1w7vccOfM+R86zccauUOI8YCxybjb56+ZiytaicPdC1uU9fJ5lTFO/OR79RpCx9Bf0Ny7j0q47PmMnkDT1DUzZxSfGS/t1GpKyaD+hcHHD783PyDu+HwDJ0RHH4HCyNq1AH3cDhbMLHv1H4j36TVKmvWf3+gBsPHyGr5Zt4r2h3akTXpmFWw/y4reLWPXhC3i7Fz+XcHfRMLp7K8ICfFE5KNh56jKT563B282FlrWqAvDlsk0cunCd/zzdlyAfT/advcrUxX/i5+FG+3qR5VIvgOY1JBpXl1h70ERGjjnAe6Ktgp82mErc92Xlymw/KZOWDRIQHSbxeCsFszeZSCncxJV9YHAbBfvOy2w6JmOSwd9Dsuu5BIBDZH00bfuSv3UpxoSbODZoi0v/58ie+1mJbcql//OY8rLJWzsHU44WhZu3dZsqbZ520KmRI23rO7Lwr3zSMk30aO7I8/2cmTo/574BeGiAgpbRKuKSiycc/pgGJ7XET2vyyMmTaRSlYlR3DV8uziUu2b6dBcKjpczuCNXr9XzxxRc0a9asrLK8r/nbDjOgZV36Na9D1Uq+TBrcFY2jipX7S+5lMppMvDtvLS/0aE2wj2exz3s3rc3z3VvRLCrMfgW/j05NnVi3J48Tl/TEJRuZvSYbTzcFDaLuHTiYTJCZI1te2XnWe+5dx3VcijGQqjVxM9HIyh25+Hgo8fWw743ByRt3cnHyNySu2vxA6as8N4S8a7Gce/tzss9f5cZ3C0lYtpHw10ZZ0oSPe5qYX34ndu5yss9d4dSLkzHm5hMyaqCdamFt9YqldOnWk05duhMSGsbzL49HrdGw5a8/baZfu3oZDRo1pf/AIYSEVuHJEc8QUbU669cW9Zr+Nu8XGjVuxshnnieianUqVapM0+atbAag9uDepS9Zu/8iZ+9W9PGxpC38HrlAh2urTjbTm3KzMWVmWF6aWvWRC3TkHtljSePZbxh5p4+SsWwu+phrGJITyDtxyGYAak/NairYecrEhViZpAxYudeImzPUCCn5CuTFOJnLt2TSsiAtC7aeMFFggGBf8zoh/hKeLrByn5GkDCz5BvlIhAfa98qmplkndMf3UHByH6aUBHLXLwJDAY71WthM71i/JZKTC9lLf8AYexWTNg3DzUsYk+KsE6rUuPR9mtx1C20Gk/bWv1sAC1cmsO+IlmsxeXz+/TV8PFW0auRZ4jraLAPp2qJX8wYexCXkc/Jc0Yneig1JLFmTyLnLOeVQiyKODduiP7Mfw9lDmNIS0W1dhmzQo6rd1GZ6Ve2mSGpn8tb+ijH+OnJWOsa4q5hS4h86z7Lm2r4nufu2kndwB4bEOLRLf0EuKMC5WXub6eXcHExZWstLHVkHWa8j/8QB8+f5eaT+8Cn5x/djTI5Hf+My2mW/4hgSgdLTp1zqNH/LAQa0akC/lvWpWsmPSUN7mM8l9h23mb5JZBgd69cgopIvIX7eDOvYlOqVAzh2uaiX98SVWHo3r0uTyDAq+3jyeJuGRFYO4PT1OJt52kuT6hJ7zslcugXJWlh70ISbE0RWLnkfdTkeriRAejakZcPO0zIFBgjyKVqnU30FRy7L7D8vk5Jp3keej5VLDELLirphO/Sn96Mv/P3nb/nj/m1K40zemtnmNpWZjjHuCqaUWw+dpz20a6Dir4M6Tl81cCvFxIK/8vFwkahT9d79Oo4qGNHVicVb8snVFY/Wwysp2XmigJuJJlIzZf46VECeDkL8H/0nG0gKqcJej6JS9TAOGDDA5nKtVsuZM2eQJIldu3aVScHuR28wci4mgWe7FA3pUygkmkdV4eS1WyWuN2vDXrzcnBnQoi7HrpT/FfT78fVU4Omq4Ny1oh6YPJ3M1VsGIio7cOhsQYnr+nsp+eIVL/QGmatxBpZvzyUt0/be21EFreqpSU43lpimong2r0/K1n1Wy5I37abWV+8CIKlUeDSszZXPZxUlkGVStu7Fs3kDu5dPr9dz5fJFBg4eZlmmUCioW78hF84XH94HcOH8Wfr0G2S1rH7DJhzcb+4xNZlMHD60n/4DhzDl/be4euUyAQGBDBw8jGYtWtuvMrcpHXAMrYr2z2VFy2SZ/HMnUEdEPVAWrq07k3NoN3JB4XAYScKpTmMyN67A/7XJOIaEY0hNQvvnMvKOH7BDJWzzdAU3J4mrCUW/c50eYlNkQvwkzty4/yVxSYJaoRIqB4hJMad3KLzOYrzjoq7BaB6aFeovcS3BTpfaFUqUlULJ33vnCAgZ/bXzOARHYGvwpmP1uhhir+LcbQiq6vWQc7MpOHOI/H0bubNLwLnbEPSXT2O4fh5ad7dP+UsQ6OeIj5eKY2eKeqly80ycv5JDreoubN9//+GJDkqJTq19WLY+0Z5FfTAKJQr/YAoObb1joYzx5kUUgVVsruIQURtjwg3U7QfgUDUaOTcbw8VjFBzeat5OD5FnmVIqUQWHk7151R1fL6O7dBpVleoPlIVzs/bkHdtXtJ+wQXJyRjaZMOXZ/6KF3mDk3M14nunayrJMoZBoViOMk1fvH9zJsszBC9e5npjKa/07WpbXqxrM9pMX6duyHv4ebhy+eIMbSWm8OaiLXephi6cLuDpJXE+03vfdSjX3EJ57gFHMkgQ1gs37vrhU877CWQ2Vfcz7zhEdFXi5Qmom7DhtItaedxoU/v51h+68pUXGcPMiykphNldxiIjGEH8DTYeBOEREI+dlo79wtFibKk2eZc3HXcLDRcHFm0UHk/wCuJFgJDxQybGLJQ8fHdRew9nrBi7GGHnMRnx7Ld5Iw0gVZ68ZyNNB/UgHHBzgcuyjPyRVKFulChhLGm4aEhLCwIEDGTZsWLkNSU3PycVokvFxs75vz8fNhWuJtockHr0Sy4p9J/n9nVHlUMKH4+FiPgvNzLEO4rJyTJbPbLkWZ+DXtdkkpBrxdFXQq40Tb49wZ/JPGejuiDHbN1QzsKMLGkeJ+FQjXy/KtPsVwdJSB/iiS7Q+6ugSU1B5uKHQqFF5eaBwcECXlHpXmlRcoiLsXr6sTC0mkwmPu3r+PD29iIuxfc9DRnpasZ5CT08v0tPNJ8HajAzy8/JYvnQRT454hqdGjeXokYN8/p8P+GjqNKLr1LdLXW5TurohKZUYMzOslhuztKgq3X8In2NYdRwrVyF17v8syxRuHig0Trh3G0DGqoWkL5uHU3QD/J5/h8Rp76O7aDu4LmuuGvPVvrvvK8zJBxfNva8E+nvCs10dcFBCgQGW7DCSUtg5GptivureuYGCLcdNSJj/r1BIuDmVfT1uk5xdkRRKTDnWw//knEyUPrbvdVV4+uIQFkXB6YNkL5mJwssP525DQKkkf9c6AFS1GuMQGELm7M/sV/h78PZUAZCutR6unK7V41X42f20bOyJq7OSv3am3j+xnUlOLubtdNcQYTk3G6W3v+113H1QBldDf+Eoeat+RuHhi6bDAFAoKTjw10PlWZYULu7m/cRdIwRMWVoc/YPuu74qtCqqoFAylvxYciIHFe69hpJ3bK/VsEF7Sc8uPJe4a+ipj7sr1xNL/h1l5eXz2MTp6PVGFAqJd4d2p0XNouPPhMFd+WjhOrpO/BYHhQJJIfHBsJ40ql4OgX0hF43532L7Pp1s+awkfh7wVEeFZd+3fI+J1MJdzu37utvUlthyQiYpQyY6TGJoOwU/b7z3/ZF/x+3f/93D7uXcrBJ//woPbxQh1dCfP0ruqp9QePqi6TCwWJsqTZ5lzc3FfBzKyrW+yJiVK1s+s6VBpAPB/gq+WlzyhZU56/MY2cOJqc+7YTSaj1m/rM0jRWvnscPCI6dUAeOvv/5aJl+q0+nQ6ayvLqrVxSctKEs5+Trem7+OyUO74eXqfP8Vykmz2o4M7+5qeT/j9+L3gDyI01eLTrLiko1cvWXgs5c8aVJTze4TRX/rA2cKOHtNj4ergseaOTG2vxufzdPa/SZ14d5k2Ry1N23ekj79zT2R4VWrceHcGTauX2P3gPHvcm3dmYLY61YT5Nx+Zmve8YNkbV4DgD72GuqqNXBr29VuAWOdMIlezYqG2/y27eF/3CmZ8MM6AxpHqBWqoF9LJXM2GUjRQq4Olu4y0rOpkmY1FMgynLoucytVtvt9PKUmScg5WeSuXwiyjDHhJvlunmhadCF/1zokNy+cuwwie9G3YCyfK88dW3oz7tlQy/tJX1z+23l2b+/DwRNaUjPK9x7ZsiJJEnJeNrotS0GWMSXFonN1x7FRBwoO/FXRxfvbnJu1R3/rZokT5KBQ4j3yNZAktEtnl2/hSslFrWbJu2PI1RVw8MJ1vvxjE5V9PWkSGQbAou2HOHUtjukvDKaStwdHL99k6uIN+Hm40rymfS5s1g6V6NaoKMD4fffDXw1OzYLZm0yoVRAVLNGrqYIF281B4+3HcR+7KnPqunlnl3hcJsxfom64xI5T/6AdoCSZ7wne8rulTRW4eODYuOLaVKMoB57oWBSxz1pd+gsjnq4SA9up+W5F3j3P33q0UOOklpi5PJfsPJm6VR0Y1cOJb5fmEm/nCQ8rnHgOY5l66ElvUlJSuH79OpIkERYWho/Pg99rMHXqVKZMmWK1bPLkyUxoEfLAeXi5OKNUSKRmWV9ZSc3KwdfGhDcxKRncStPy6o9FQ+5MhWd1Dcd9war3RhPiVz73it3p+KUCrt7KsLxXKc17YncXBdqcor2Am4uCmMQHP5HL08kkpZnw81IWW56nk0lKN3E1Lovp471pGOXIwXsMdS1vusQU1AG+VsvUAb7otVmY8nUUpKRjMhhQ+/vclcYHXYL9Z950c/dAoVCgzbAeIpeRkY6nl7fNdTy9vMmwkd7Ly8uSp1KpJCQ0zCpNcEgo587af+ZXY3YWstGI0t3TarnSzQOj9t5DASVHNS5NWpOxapGNPA3o463HPenjY1FXK3k22b/rQqxMbEpRW3EobAIuGsi+47jsooHE9Huf2JhMWK6Wx6eZCPKRaF5DwdoD5gPt1XiZGasMOKnNaXV6eGOgA2dKnqz0b5Nzs5FNRhQu7tx5niC5uBfrdbTUI1trLuAdkawxNQGFqwcolDhUCkXh6o7bsxOL8lMocQithrpxOzI+e4WyjoL3Hc3g/JWiewpVDuZ9n5eHirSMou3n5aHiyo37D03093WkQbQ7U74pIRgpZ3Jejnk7Obtx52mZ5OyKKcf29LymnEwwGa3+1qa0JBQu7qBQPlSeZcmUk2neT7h5cGdIrnDzKDY64W6SoxqnBi3J2lDCrLsKJV4jX0Pp5UvKd5+US+8igJdr4blEpvX9ramZ2fi6u5awlnnYaqi/eX9fIySQa/EpzN6wlyaRYeQX6JmxahvTxg6ibR3zUN3I4AAuxCQyb/N+uwWMl27J3Eor+u0oC8+XXTTWvYwuaonE+8y+eee+LyFdppK3RJPqEhuOyGQX5pVy163oKZkyHna8Hn/79y85u1ktl5zdSvz9yzlZyHe3qfTEYm2qNHn+XaevGriRUPR7cyg873Nzlsi8o5fRzVkqcWKaEH8lbs4K3hxa9AdXKiSqVpZpU0/FG//Lxttdom19R6bOzyEhzZzPrZQCIoKUtKmn4vetJQ8LF4S7lTr8PnPmDG3btiUgIIBmzZrRtGlT/P396dixIxcuXHigPCZOnIhWq7V6TZw48f4r3kHloKRmSCAHLhadmZlMMgcu3KBuePGhMeEBPvwx4WmWvD3K8mofXY0m1UNZ8vYoAr3cS/X9ZUVXAMnpJsvrVoqRjGwTNcKKhmBpHCUighy4GvfgAaNaBX5eCrTZJV9BkiRAKtpZ/VNk7D+OT0frx034dmpJ+v7jAMh6PdqjZ/DteMcEH5KET4cWZOw/ZvfyqVQqqlaL5OTxo5ZlJpOJU8ePElWjts11omrU4uSJo1bLThw7QmRhepVKRbXqNYiLtQ6ubt2KLZ9HahgNFNy8gqZG0bTwSBKamnXRXb13u3Zu1ArJQUXOgR3F8tRdv4xDoPXU9KqAIIypyWVV8mIKDOYTnduvZC1k5clEBBbt7hxV5slrYpJLFwRJkvmgfLc8nTlYDAuQcNHAhVg7Xrk1GTHG38Qh7M57SyVUYVEYYq/aXMUQexWFlx/mOQ/NlN7+mLIywGREf/082h8/JvPnTy0vw63rFJw+RObPn5Z5sAiQl2/iVqLO8roRl09qup4GtYtO3JydFNSo6sLZS/efrKZrWx8ytAYOHCvfCZVKZDJiSopFGXLnvX0SypDqmBJsX1Ewxl9D4enLndtJ4eVXGPAbHyrPMmU0oo+9hmPkHY/TkSTU1Wujv2H78Tu3aeo1Q3JwIPfw7uIfFgaLDn6BpH7/H+Tc8pmZEgrPJUIrcfDCNcsyk8l8X2LdCNuP1bDFJMsUGMzHaIPRhMFoQiFZ7ysUCslyodoe7t73pWRCdp655+82RwcI8oG4Uo7aligKQLU55uGSPnedNnm7SWjtedtp4e/f4a7fv0NIdYzx122uYrxlo015Fm9Tpcnz79LpIUUrW14JaSa0OSYiQ4ou8KsdoUqgkmsJtrsPL8YY+GxBDl/8lmt53Uw0cuS8gS9+y0WWwbHwItzdPzmTfOdf49ElSVKFvR5FpQoYExISaNeuHcnJyUybNo3169ezbt06vvjiC+Lj42nTpg1JSUn3zUetVuPu7m71epghqSM6NGb53hOsPnCaqwmpfPL7X+QV6OnXrA4A781fx/TV5pNYtcqB6kF+Vi83Jw0uakeqB/mhKuyG0ObkcT42kauFPVXXk9I4H5tISmb5HcC2HMyjZysn6lVXUdlPyTO9XcnIMnHsQlEv4Pgn3enQqGhIw+MdnYkMdcDHQ0HVyg68+LgbJhkOnjVfQfL1VNC9hYbQQCXe7uY0Y/u7odfLnLpi395FpYsz7vVq4F6vBgDO4cG416uBJsT8vMyoT8ZT79fPLelv/LgY5/AQakx9C5eoCKo8/ySVBnXn2vQ5ljTXvvmVkGcHU3lEP1xrRBA980McXJyImbvcrnW5rU//QWzauJatmzcQc/MGs2Z+TX5+Pp26dANg+lefMn/OT5b0vfoM5NiRg6xa/juxMTdZvHAOVy5foEev/pY0/QY+wZ5d2/hrw1rib8Wxfs0KDh3YS7ee/cqlTpmbVuHWpgsuLTrgEBiM97DnkRw1ZO8xTwbg8/RrePYfXmw919adyT1+wObV2MyNK3Bp3ArX1l1w8AvErUMPnOo2IWuH7dlk7eXAORNtohVEBkv4e0L/lkqycuF8TNGRdEQnJU0ii3aJneorCPU3P4vM39P8PixA4tS1omCwfoREZV8JL1eoEy4xqK2S/eeK7vWxl/wDW1A3aI1jneYofAJx7j4UVGoKTponi3LuPRJN+76W9LojO1E4OeP02CAU3v44VItG07IbuiOFQX6BDlPyLauXrC9AzsvBlFzyJGJlbcWGRJ7sV4kWDT0IC9Hw9vPhpGbo2XMkw5LmvxOr07eLn9V6kgRd2/mwaVdqsccJAXh5OFC1ihOVA8zHmfAQJ6pWccLNxb4zBRYc3YkquhkONRuj8PJH3XEgksoR/dmDAGgeG4pjyx6W9PqT+5DUzqjb9UPy9EUZVhPHJp3Qn9zzwHnaW/b2dbg074BTk7Y4+Afh8fgzSI5qcgsvGHk++QJuPYcUW8+5eQfyTx0uHgwqlHiNGodjSATpC/4HCoX5/mc3D1CWz0yOIzo1Y/nuY6zed4Kr8Sn8Z9F68nR6+raoB8CkOav4dmXRREO/bNjDvnNXiU1O52p8CvM272fdgVP0bGo+93B1UtOoeihfL9/CoYvXiUtJZ9W+E6w9cIqOhcfB8nLokkzLWhLVgsz3JfZupiArzzwL9G1D2yloVK3oJLddHYkQX/BwNq/Tro5EFX84c7NonQMXZBpVk4gKNj+Ptm20hI8bnLhq3+GouqM7UEU3R1X4+9d0erxYm1K36mlJX3ByL5LaGU37fig8/XAIq4ljk84UnNjzwHmWhx3H9DzWVE10uJJKPgqGP6ZBmyNz6kpRR8FLA5xoU9fcmaDTQ3yqyeql08vk5MuWoaaJ6SaSM0wM7qQmNECBj4dEhwYqokKVnLoqJr0RSqdUQ1K//vprqlSpwp49e9BoioKVbt268cILL9C6dWu+/vprpk6dWuYFtaVbw5qkZ+fx3frdpGTmEBXsz3cvDLLcvJ6QnlnsCt/9bD99mQ8WFp3MvjPHfO/V891a8kKPcpitEtiwPx9HR4kR3V1x1khcitEzfUmm1Th1P08Frs5FdfNyVzCmrxsuThLZuSYuxRqYOkdLduHwBr1BpnqIis5NnXDWSGTmmLh008Bn87TFbrQuax6NommxZb7lfa0vzbOdxsxbzslnJ6Ku5IdTYfAIkHc9lkN9xlLrq4mEvfIU+bEJnBo7yfIMRoD4pX/i6OdN5ORXUQf6kXniHAd7jaYgqXwmu2jdtiOZWi2LF8whPT2N8IiqfPDR55YhqcnJSUhSUfBRo1Y0r781id/mz2bB3J+pVLkyEyZ9bHkGI0Dzlm0Y+9LrLF/6G7/MmkFQ5RDefncKtWrXKZc65R7eQ7qbB559hqJ096Ig9hpJ306xPALDwduv2KVKh4AgNNVrkfj1ZJt55h0/QOrCH/DoNhCvIaMxJN4i+YfP0V0+ZzO9vew5a0LlAL2bKdE4ws0kmQVbrZ/B6O0m4awpqp+LRqJ/SwWuTuaDc2K6zIItRq7eMfupj7tEpwYKnBwhIwd2nTax/5z97wvRnztCnosrmna9zENTE2PJXjwDuTBoV3h4W20rOSudrEUzcO4yCPWYSZiyMtAd2maeJfUfZMnaRDRqBeOerYKrs5LTF7OZ+Pklq2cwVgpQ4+5mfehqGO1GgK+aDTtsD0nv1cmPpwYWjTz5+gNz7+wXs67bdYIcw6Xj6JxcUDfviuTsjikljtyVP1mCJsnNE8Wd2yk7g9yVP6Jp2xeXYW8iZ2vRH99lntHxAfO0t/zj+9G6uuPW7XGU7p7o426QOuszc48NoPTyLbafUPpVQh1Rg9TvPy2Wn9LDC6c6jQHwf+tzq89S/vcRBVfsv6/o2rg26dm5fL92R+G5RADfvTIUn8IhqfFpWqtegzxdAZ8u+pOkjCzUKgfCAn35z9N96dq4aITJ588O4NtVW3l39ioyc/Oo5O3By33aM6htQ7vX5077z8uolNC9kQKNI8SkwO87rZ/B6OkKTndcs3dRQ69mClw15n1fkhYW7zRx/Y7Jhw9dklEqoXN9c75JGeY0GXZ+co3h4nHynVxRt+h2x+//R8vvX+HuhYm729Qs1G374TLc3KYKju+0blP3ybM8bDlSgKMKnuhkfm7i1VtGfliZa3Xe5+OhwMXpwc9pTSaYtSqX3q3UPNfHCUeVREqGiYV/5XP2+qM/cYUk7mEsU5IsP/j4iIYNGzJhwgQGDx5s8/PFixfz3//+l6NHj9r8/H7yN/7yUOv9U2m6PsuYTyt+tr6y9NO7PqxTPdhjFv4teuovcPZy+fWilIda1YK48Vy/ii5Gmary40qmLPh3TmZyL5OHq0j/zwsVXYwy5fXe93QZdqSii1GmNi1sRNb0Nyq6GGXK7bWvuPX60IouRpkK+noReVvn3z/hv4hTxxFM/f3ROsGfOFhJ5jfjK7oYZc593DRem27/+4nL0/TX3O6f6B8o5YNnK+y7fT96tOIZKOWQ1KtXr9KwYclXxxo3bszVq7bvoREEQRAEQRAEQRD+XUo1JDUrKwt395Inh3FzcyM7u/y68AVBEARBEARBEO4k2ZigTnh4pX6sRlZWltX9i3fKzMykFCNcBUEQBEEQBEEQhH+wUgWMsiwTGRl5z88f1elkBUEQBEEQBEH4FxCT3pSpUgWM27Zts1c5BEEQBEEQBEEQhH+YUgWM7dq1s1c5BEEQBEEQBEEQhH+YUt/DKAiCIPwfe/cd3lT1P3D8nbRp0r03LS0dlF32kr1BQEBEBBmC7KHgQgQE/IKoIIIoyAbZsjcIsqfsVfYq0L1X2ozfH4G0oWmhmLTK77yeJw/k5tyb82mSc+65Z1xBEARBEP6txKI3plWkBqNUKn3hHEWJRIJKpfpHmRIEQRAEQRAEQRBKXpEajBs3bizwtePHjzNr1iw0Gs0/zpQgCIIgCIIgCMKrkEjEojemVKQGY8eOHfNtu379Ol988QVbt26lR48eTJo0yWSZEwRBEARBEARBEErOKze/Hz9+zIcffkilSpVQqVScP3+epUuXUrp0aVPmTxAEQRAEQRAE4eVJJSX3eA0VucGYnJzM559/TnBwMFeuXGHfvn1s3bqVihUrmiN/giAIgiAIgiAIQgkp0pDU7777jmnTpuHl5cWqVauMDlEVBEEQBEEQBEEQXg9FajB+8cUXWFtbExwczNKlS1m6dKnRdBs2bDBJ5gRBEARBEARBEIpCIhWL3phSkRqMvXr1euFtNQRBEARBEARBEITXQ5EajEuWLDFTNgRBEARBEARBEP45yWu6+ExJKVKDsXPnzi9MI5FIWL9+/StnSBAEQRAEQRAEQfh3kGi1Wu3LJu7bt+9LpVu8ePErZ0gQBEEQBEEQBOFVJX8/vMTe2/HT2SX23uZSpB5GczcED11JN+vxi1vDCrYcvZpW0tkwqfrl7bh663FJZ8Okygf7sF1WtqSzYVLtcq5z4/aDks6GSYUG+b92MYEuruu3H5Z0NkyqbJAfey5kl3Q2TKplFStOX08q6WyYVM2yThy7llrS2TCpeuXs2XE2p6SzYVJtq8m4fCuqpLNhUhWDvV67cz7Qnfc9vn6xpLNhUj5lK5d0Fl6NRCx6Y0rirykIgiAIgiAIgiAYJRqMgiAIgiAIgiC8NiRSSYk9XsWcOXMICAhAoVBQu3ZtTp06VWj6pKQkhg4dire3N3K5nNDQUHbs2PFK7/0yijQkVRAEQRAEQRAEQTCNNWvWMGrUKObOnUvt2rWZOXMmrVq14vr163h4eORLn52dTYsWLfDw8OCPP/7A19eX+/fv4+TkZLY8igajIAiCIAiCIAivD+l/ZxDljBkz+PDDD/WLi86dO5ft27ezaNEivvjii3zpFy1aREJCAseOHUMmkwEQEBBg1jwW6a+pUqlQKpUG26Kjo5k4cSKfffYZR44cMWnmBEEQBEEQBEEQXkfZ2dmcOXOG5s2b67dJpVKaN2/O8ePHje6zZcsW6taty9ChQ/H09KRixYpMmTIFtVpttnwWqYfxww8/xMrKinnz5gGQmppKzZo1ycrKwtvbmx9//JHNmzfTtm1bs2RWEARBEARBEATh30qpVObrYJPL5cjl8nxp4+LiUKvVeHp6Gmz39PQkIiLC6PHv3LnD/v376dGjBzt27ODWrVsMGTKEnJwcJkyYYLpA8ihSD+PRo0fp0qWL/vmyZctQq9XcvHmTCxcuMGrUKL7//nuTZ1IQBEEQBEEQBOFlSCSSEntMnToVR0dHg8fUqVNNFptGo8HDw4PffvuN6tWr061bN8aOHcvcuXNN9h7PK1IP46NHjwgJCdE/37dvH126dMHR0RGA3r17m/1ejYIgCIIgCIIgCP9GY8aMYdSoUQbbjPUuAri5uWFhYUF0dLTB9ujoaLy8vIzu4+3tjUwmw8LCQr+tXLlyREVFkZ2djZWV1T+MIL8i9TAqFAoyMzP1z0+cOEHt2rUNXk9Le71uVC8IgiAIgiAIwn+IVFpiD7lcjoODg8GjoAajlZUV1atXZ9++ffptGo2Gffv2UbduXaP71K9fn1u3bqHRaPTbbty4gbe3t1kai1DEBmN4eDjLly8H4PDhw0RHR9O0aVP967dv38bHx8e0ORQEQRAEQRAEQXgNjRo1ivnz57N06VKuXbvG4MGDSU9P16+a2qtXL8aMGaNPP3jwYBISEhg5ciQ3btxg+/btTJkyhaFDh5otj0Uakjp+/HjatGnD2rVrefLkCX369MHb21v/+saNG6lfv77JMykIgiAIgiAIgvC66datG7GxsYwfP56oqCjCw8PZtWuXfiGcBw8eIM1zmxA/Pz92797Nxx9/TOXKlfH19WXkyJF8/vnnZstjkRqMjRo14syZM+zZswcvLy+6du1q8Hp4eLjBEFVBEARBEARBEITiJJFKSjoLRTJs2DCGDRtm9LUDBw7k21a3bl1OnDhh5lzlKlKDEXSTKsuVK2f0tf79+7Njxw6qVKnyjzMmCIIgCIIgCIIglKwiNxiNuXXrFosWLWLJkiXExsaSk5NjisMKgiAIgiAIgiAUjaRIy7QIL/DKDcbMzEzWrVvHggULOHr0KA0aNGD8+PF06tTJlPl7Ia1Wy5bVczm8dyMZGakEh1Whx4Av8fTxL3S/v3auYfemZSQnxeMXEEr3/p8RGFLRIM3t6xfYuGIOd29eRiq1wC8wlI/GzcFKrjBnSGi1WjatmsuhPzeSkZ5GcFgVeg0c88KY9u1Yyy59TCH06P8ZZUIr5kun1Wr5cfIILp87xrAvfqBa7SbmCkVvx7aNbFq/hqTEBAICg+g/aAShZY33VAMcPXyAVb8vIiY6Cm+fUvTqO4DqNesYpHn44D7LF//GlcsXUKvV+PmX5rMvJ+Lu4Wn8oCbk8kYNyozuh2O1iih8PPi7yxCit+wrfJ+GtSj/wxfYlQ8h6+ETbk39lchlGw3SlB78HmVG9UPu5U7KxQiufDSZ5NOXzBmKge1bN7Nh/ToSExMIDAxi4OChhJYNKzD9kcMH+X35UmKio/Dx8aXPB/2pUTN3WHpiYiJLFs/n/NkzpKWnU7FiJQYOGoqPb6niCEfvdYxr+9bNbFy/Vh/TgMHDXhjTiuVL9DH1/uDDfDEt1ceURoWKlRg4aFixxqTVatmxdg7H9q0nMz2VwLBwuvUfh4d36QL3uXX1b/ZtWcKDu1dJSYyl/yczqVKr2T8+rqlotVrWr/yNv/ZsJiM9jdBylek7+DO8XlCe792+ju0bV5CcGI9/YAi9BowmKLSC/vX9uzZy7NAe7t2OICszg3kr/8TWzt7c4QDP6qh5HNyrq6NCwqrw/qAvXhjTvh1r2blxOclJ8fgHhNDjw08LqaNGcunsMYZ/8QPV6jQ2UyT533fXH3M4vv8PstJTCShbla4fjMO9kO/J7Wt/s3/bYiLvXCUlKZYPRv1EpZq53z+1Kocda2dz7fxh4mMiUVjbEVqpDm+++zGOLh5mjWfnto1sXr9aX+/2GzSSkELq3WOH/2LV74uIjY7C28eXnn0HGdS7s2dM5cC+XQb7hFerxbjJxXv/bXOd930/7kNuXDljsE/Dll14f9BYs8SR18btu1izcQsJiUkEBZZmxIAPKBcaYjTt3QcPWbxiDTdu3yE6Jpah/frwdsd2BmnUajVLV61j74FDJCQl4ebiQqumjXm/Wxckkv/WUE3h36HIze/Tp08zcOBAvLy8mDlzJh07dkQikfDLL78waNAg/QTN4rJr41L2bV9Fz0Ff8uW3S7GSWzNz8lByspUF7nP6yG7WLp5B+3cGMO6HlZQKCGHmpKGkJCXo09y+foGfJg+nQnhdvpy2nLHfLadJm25IpOa/YrFz41L+3L6aXgO/5KtpS5HLrZk+aVihMZ06soc1i2fQodsAJkxfgV9AKDMmDTOI6Zm9W1cWa4Fx5NB+Fs//lW7v9Wb6rN8ICAxi0rjPSEpKNJo+4uplZnw3mWYt2zJ91nxq132Db78Zx/17d/Vpnjx5xJefjcDXz4/J3/7Ij3MW0PXd95GZaTnh51nY2pBy8TqXR0x8qfTWAaWouWUe8QdOcqRGR+7OXkqled/g1uINfRrvrm0o9/0Ybn4zhyO1OpF6MYLa2xdi5e5irjAMHD54gAXz59H9vZ7MnP0rgWXKMH7cmAI/p2tXr/D9tCm0bNman2b/Sp269fnf5K/1n5NWq+V/kycQ/SSKseMn8dPsX3H38OSrLz8nKyvT6DFFXC8b018snD+Xd997nx9nzyWgTBkmjPui0Jh+mPY/WrRszczZc6ldtz5TJk8wiGnK5PFEPXnC2PETmTl7Lh4enoz78rNi/az+3LyIgztX0u3DcYyesgK53Jpf/jew0LJPqczENyCUd/oVfFL3Ksc1lW0blrNn21o+GPw5E79fiFyuYNqEkWQX8t4nDu9lxcKf6PRuP775cSn+AcFMmzCS5DzlebYyi8rV6tChax+zx/C8HRuXsnfbanoNGsO475ZgpVAwY+LwQv+eJ4/sYfWiH+n47od8PeN3/AJCmT5xuNE6as/WlebMfoH2b13EoV0r6NpvPB9NXolcbs3cbwv/nmQrM/H1L0uXD4x//7Kzs4i8e5UWnQYyespa+o6aSczjeyz4wfhcJVM5emg/S+bP4Z33evP9rPmUDgxi8rhPSC6k3v3xab37w6z51KrbgO++GcuDe3cM0lWtXosFyzfoHx9/Nt6scRhjrvM+gAYtOvHDwj36x9u9Rpo7HPYfPsqvC5fS+92u/PbjNIICSvPZhP+RmJRsNL1SqcTHy4MBvXrg4uxkNM2q9ZvZvHMPIwb2Y+mcmQzo3YPVGzezYdtOM0byLyOVlNzjNVSk1k/lypXp2rUrrq6uHDt2jLNnzzJ69OgSu1qh1WrZt20l7d7uT3itxpQKCOWDEZNISojl3KkDBe63d+sKGrToRP1mHfHxK0PPgWOxkis4un+zPs2aRdNp2vZd2nTui69/EF6+AdSs3xKZzLwNEq1Wy95tK2nftR9VazfGLyCE/iMnkpQQy9mTBce0e8vvNGzRiQbNOuDrV4Zeg77ESq7g8L7NBuke3L3O7i2/88Gw4ivkt2xcR4vW7WjWog1+/gEMGjYKuULBvj3GC65tW9ZTtXotOnV5Fz//0rz3/geUCQphx7bc3riVyxZSvUZten8wiDJBIXh7+1KrTn2cnJyLJabY3Ye4MWEm0Zv/fKn0pQe8S+bdSK59No20iDvc/2UFUet3Eziyjz5N4Ed9ebhwLZFLN5B27TaXhkxAnZGFX58uZorC0KaN62nVug3NW7bG3780Q4aNRC6Xs3fPbqPpt2zeSLXqNen89jv4+ZemZ68+BAUFs22r7jv3+NEjrkdcY/CwEYSGlqVUKT+GDB1BdnY2Bw/8VSwxva5xbd64npat2+aJ6SPkcjl/7tllNP3WzRuextTtaUx9KRMUzPbnYhoybCQhoWGUKuXH4KEjyc7O5lAxxaTVajmw43dadR5A5ZpN8S1dlveHTSE5MZaLp/cXuF+Fqg14890R+XoV/+lxTUGr1bJry2o6vtOX6nUa4R8YwqCPvyYpIY4zJw4WuN/Ozato0rIjjZq3x9e/DH2HfIFcruDgn1v1aVp37E6Ht3sTXDZ/D505abVa9m5dRft3+lHtaR314chJJL6gjtqzeQUNW76VW0cNHvO0jtpikO7Bnevs3ryCfsOLtyGi1Wo5uHM5LTsNoFKNpviULst7Q6aQkhjDpb8LHj1SLrwBbbuNoHLN5kZft7axZ/DYBVSt2xoPn0ACQqrQpe+XRN69SmLcE3OFw9aNa2ne+k2atmiLn38AA4eNflrv7jCafvuWP6havRZvdelOKf8Aur/fj8CgUHZuMxwFYymzwtnFVf+wsy+eXu1nzHneB2BlpcDR2U3/sLaxM3NEsG7zNtq1bEab5k0I8Pdj1JABKORW7PzTePkUFhLMoL69aNqwPjKZzGiaKxHXqV+7BnVrVsfL04NG9etSI7wKETdumTMU4TVWpAbj9evXadiwIU2aNKF8+fLmytNLi4t+RHJSHOWq5A6rsrG1p0xIRe5cv2h0H1VODvdvX6Nc5dx9pFIp5SrX5vbTfVKSErh78zL2ji58O6YPo/o25/uv+nPz2jnzBgTERj8iOTGe8kZiul1oTBGUr1JLv00qlVK+ci1uX88dzqhUZjJvxlh6fvg5js5u5gsij5ycHG7fukGV8OoGeascXo3rEVeM7nM94qpBeoDwajW58TS9RqPh79Mn8PEtxcRxn9L7vU589vFgTh4/Yr5A/iGnOuHE7T9usC127xGc64QDIJHJcKxWgbh9x3ITaLXE7T+GU52qZs9fTk4Ot27doEp4Nf02qVRKeHg1rkdcNbpPRMRVwqtWM9hWtXoNIiKu6Y8JGNxEViqVIpPJuHr1sqlDMOp1jOtZTOHPxVQlvBoRhcRU5bmYqlWvqU+fk5MNYNBDX9yfVXxMJClJcZStnDsEztrGnoDgSty9ceFfd9yXERv9mOTEeCrmKZttbO0ICq3AzevGh5qrcnK4eyuCCuGG5XmFKjW5FVF8w9ML8qyOqlD5+ZgqcquQmO7djqDCc/Vu+Sq1uJWnXlMqs5g34yt6Dvis2OqoZ+JjIklNiiO0Yu6Nsq1t7CkdVJl7N037PcnMSEMikWBtY57G1rN6t3K+ere6vh593o2IKwbpQVfvPl9PX7l0nr7vdWT4gJ7MmzOd1BTjvWDmYq7zvmdOHt7Jx72bMmFkVzb8Phul0rwjLHJycrhx6w7Vwysb5K1alcpcibjxysetEFaWsxcv8/DRYwBu3b3H5asR1Kpu/vMJ4fVUpAbjnTt3KFu2LIMHD6ZUqVJ88sknnDt3rsR6GJOT4gFwcDQcsmfv5EpyYpzRfdJSk9Bo1Dg4Ge7j4ORCytPjxUZHArB1zTwaNO/ER+N+xr9MGDMmDCL68QNTh2EgpYCYHJxc9PE+L/VZTI6uz+3jSnJS7t9h9aIZBIdVpmrtxqbNdCFSU5LRaDQ4Ptfz5+TkTFJi/qFIAEmJCfl6Cp2cnElM1A2lSU5KIiszkw3rVlG1Wi2+nvw9tes2YNr/xnP50nmzxPFPyT3dUEYbfieV0XHIHO2RKuRYuTkjtbREGRP/XJp45F7mP3FKefo5OTsb+bsnGB/ClJSYiJOTU770zz7XUn5+uLt7sHTxQtJSU8nJyeGPdauJi4slMcH4Z29qr2Ncz2JyMhJTUqExPZ/eiUR9TP64u3uwbPECfUzr9TEZL3dM7VnZZ/9cOWbv6EpKkvHyvCSP+zKSEp+W50bqm+QCyr/UFF157vjcPo5OLgZDUkuKvt51eq6+cXQhOfEFddTzMTm6kJJnn1ULpxMUVplqxVhHPZOarPsu2D33PbFzdCXVhN+TnGwl21b9SNV6bVGYqfdKV++q8/3mHV9Q776onq5avRYjRn3J11Nm0LPvQK5eusA3Ez5DrVabPogCmOu8D6B2g9b0G/kNoyfNo03nvhw/sJ2FM78ycQSGklNSdXWUk6PBdmcnRxKSkl75uO+9/RZNG9Sj95CPaN7pXQZ89BldOrSjReMG/zDH/x0SibTEHq+jIi164+vry9ixYxk7diz79+9n0aJF1K9fH5VKxZIlS+jfvz+hoaEvPI5SqUSpNBxrLpfLX7jfiYM7+H3e//TPh4+dVZTsvzStVgtAw5adqd+sIwD+ZcK4dukUR/dvpnPP4SZ7r+MHd7Bs7hT984/G/mSyY+d17tRBrl06zdfTS2ZuiClptRoAatWpR4dOunuBBgYFc/3aFXbv2ErFSuElmDvhGUtLS778agKzfppO926ddT17VatRvUZNnv7E/pNex7gsLS0Z89XXzP5pOu9166Trsaxajeo1aunLQ1M7fXgbq3+bpH8+aMwcs7xPcTp6YBeLfvlW//yT8TNKMDemcfzgTpb+mqeO+mqmWd5HV0f9zcQZK8xy/OedObKNtQty56B/+NkvZn9PtSqHpT+NRqvV0vWDcWZ/P1N7o1HusO/SAUGUDghiaP/uXLl0Pl/vpKkU13kf6Ba4eaZU6RAcXdyYMWEQMVEP8fDyM9v7msOBI8f58+ARvho9kgD/Uty6e485C5bg6uJM62aNSzp7wn/QK6+S2rRpU5o2bUpycjIrVqxg0aJF/PDDD1SsWJGLF40PC3hm6tSpTJxouFjIhAkTaNr100L3C6/VyGBFtWdDw1KSE3BycddvT02Kxy+wrNFj2Nk7IZVa5JvonJKUoL9i+mwojI9fGYM03r6BxMdGFZrHotLFVEn/XPV0aNjzMaUkJeAfaLwxbv8spmTDq7spSfE4OuliuXbpNLFRkQzr2dggzZzvPiO0XFU+/+Y3U4STP28Ojkil0nwT7ZOSEnFyNr6Yi5OzS77FO5KSEvW9RPYOjlhYWODnH2CQppSfP9eulvyQLWOU0XHIPQ17CuWebuQkp6LJUpIdl4hGpULu4fpcGleUUebtBQFwePo5PevFfSYpKRFnF+PzQp2cnUl67gro859rcEgos36eR3p6OipVDo6OToz+aDjBIcZXfzO11zGuZzElGYnJqdCYnk+fhPNzMf308zzS09NQqVQ4OjrxyUfDCA558UXAV1GpRhMCQnKHYT0r+1KT43F0zlOeJ8fjG1Dw6q8v8qxcN/VxjalWq4HBSqYq1dM6KikBZ5fc339KUgL+ZYx/V+wddOX5872JyUkJ+Xodi0N4rYYG9a6+jkqKxylvTMkJ+L2ojno+puQEHJx1n8+1i38TGxXJ0B6Gq3b//N1nhJYL54v/mbaOqlC9CZ8E5//+pT33PUlLjscnwPj5RFE8aywmxj1myFeLzNa7CM/qXYt8v/nkF9S7RamnAby8fXBwcCTqySOzNRiL67zPmDIhunOzmCfmazA6Otjr6qjnFrhJTErG5bmRLkUxd8lyund5i6YN6wNQJqA00TFxrPxj4/+fBuNruvhMSfnH/aaOjo4MGTKEv//+m7Nnz9K4ceMX7jNmzBiSk5MNHmPGjHnhfgprWzy8/fUPH78yODq5EXHxlD5NZkYad25epkzZykaPYSmTUTqoHNfy7KPRaLh28RRBT/dx8/DBycWdqEf3DfaNfvIAV3evF+azKKytbfH09tM/fPzK4OjsylUjMQUVGlMY1y6eNozp0mmCyuoKvHad+zDxx9V8PWOl/gHwbt9RfDB8gkljyksmkxEUHMrF82cN8nbp/FnKhlUwuk/ZsPJcvHDWYNuFc2cIfZpeJpMRHBLGo8iHBmkeP44slltqvIqkE+dxbWp4WxC3ZvVIPHEeAG1ODslnr+DWNHf+DBIJrk3qknTC/HNnZTIZwcGhXLyQ+14ajYYL589RNsz4fOWwsPJcOG+Yt/PnzhIWln/ZdltbWxwdnXj8KJJbt25Qu2490wZQgNcxrmcxXbhg+Ju6eP4cYYXEdDFfTGeMpre1tSuWmBTWtrh7+esfXqWCcHBy4/qlk/o0mRlp3Lt1icDQKq/8Pq4epcxyXGOsbWzx8vHTP3z9AnF0duXKhdyyOSMjjds3rhBStpLRY1jKZAQGhxnso9FouHLxNMFhxvcxp4LrqNz8ZWakcfvGZYILiSkgKMygXtPVu6cJflqvtevSm0kzVzHxxxX6B0D3D0bRb4Tp6yhj3z97JzduXD6hT5OVkcb92xcJCPln35NnjcXYqAcMHrsAW3unf5j7wj2rdy+dz71FhK6MOKuvR58XGlaBixcMbylx8dzfBdbTAPFxMaSmpuDsXHCj658qrvM+Yx7evQ6Akxnn08pkMkKDy3D2Qu7Fbo1Gw9mLl6gQ9uoX65RKJdLnpotJpVKzjRgRXn+v3MNoTHh4OLNmvXi4gFwuL2AIqqpI7yeRSGj25nts/2MBHt7+uHn6sHnVrzi5uFO1VmN9uukTBlK1dhOatn0XgBbte7Bo9gQCgssTGFKBP7euJFuZSf2mHfTHbdWxF1vWzMMvIBS/wFCO/bWNqEf3GPTpd0XKY1FJJBJavPke29YtxNPbH3dPHzau1MWUd17H9+MHUa1OE5q17QZAqw49WTBrAgFB5QgMqcjebStRZmXyRjNdTM9W/Hqeq7sX7p6+Zo2pQ6euzJrxLUEhoYSElmPb5j/IysqiWYvWAPw0fQouru683+dDAN7s0IWvvviIzRvWUr1mHY4c2s/tW9cZPHy0/phvdenG9GmTKF+xMpUqV+XcmVOcPnmMyd/ONGssz1jY2mAbnHvPJ5vAUjhUCSM7IZmsh08o+80oFL6eXOj7OQD3f1tN6SE9CJv6KQ+XrMetSR28u7bhdIeB+mPcnbmYKoumkXTmMsmnLxIwojeWttY8XLqhWGJ6q1MXfpzxHcEhoYSGlmXz5o1kKbNo3qIVADN+mIarqxu9+/YDoEPHToz5fDQbN6yjRs3aHD54gFs3bzBs+Ef6Yx45fBBHRyfc3T24d+8u8+f9Qu069ahWrUaxxPS6xtWxUxdmzviO4JCyhIaWZcvmDWQpc39TP/7wLS6ubvTu2x+A9h078+Xno9i4YR01a9bm0MG/uHXzBkOHf/xcTI76mBY8jalqMcUkkUho3LYnuzfMw8PbH1cPX7at/hlHZ3cq12yqTzd7Un8q12pKo9bvAaDMyiA2KndueXzMIyLvRWBj54iLm/dLH9dcMbXu8C6b1i7G08cPD08f/lgxDycXN6rXaaRPN+WrodSo05iWb+qG2Lfp2J15MycRGFyOoNDy7NqyGmVWFo2avanfJykxnuTEeKKf6ObcP7x/C2trW1zdPbGzN5wPZeqYWrTvztZ1C/H08cPNw5eNK3/F+bk66rtxg6lWpzHN2+nqqJYde7Dgp68JCC5PmZAK7Nn6rI5qDxRSR7mZv456FlejNu+zd9NvuHuVxsXDl53rfsbB2YNKNXKHYv7yTT8q1WxGg1a537+4vN+/2Ec8evr9c3bzRq3KYcnMUUTevUr/z+ag0Wj0c2dt7ByxtDS+yuU/1b7TO8yeMZWgkDBCQsPYtvkPlFmZNG3RBoBZ0/+Hi6s7PfsMAKBdh7cZ/8UItmxYQ7WadTj6tN4dNPwTADIzM1i7cil16zfEydmFqCePWb5oLl7evoRXr2mWGIwx13lfTNRDTh3aRaXq9bG1dyLy3k3WLp5OaPlqlAowzyiLZ7p2fJNvZ84hNDiIcqHB/LFlO1lZSlo30/W2T/lxNu4uLnzYuweg62W9/1D3u1epVMQlxHPrzl2sFQp8fbwBqFuzOr+v24CHuxuB/n7cvHOXdZu30qa5ecs84fVVpAZj1apVX7jAjUQi4cyZM4WmMaXWnXqTrcxk+dxvyEhPJaRcOCPH/YzMKrdBGhsVSVpKkv55zTdakZqSyOZVv5LydBjDyHE/GwxNaN6+Bzk52axZPJ30tGT8AkL5eMIvxTKOvU2n3iizMln66//0MY0aN9sgppioSFLzxFTrjZakpiSyafVckhPj8QsM5ePxs3EsZLhFcXmjYVNSkpNZ/fsS3U3GywQxftI0/VCX2NgYg0nCYeUr8vGnX7Fy+SJ+X7oAb19fvvhqMqUDAvVp6tRrwMChH7Nh3UoWzpuNj68fn305kfIViucKvGP1itTdt1z/vPwPXwLwcNkGLvYbg9zbHWs/b/3rmfciOd1hIOWnjyFgeC+yIqO4NPAr4vbmruz6ZN1OrNxdCJ0wArmXOykXrnHqzf5kxxTPoiMNGjUmOSWJFcuXkpiYSJkyQUycNEU/FDg2NgZJniEe5cpX4JPPxvD7siUsW7IYH19fxo772uBzSkhIYOH8eU+HFLvQtFkLunXvUSzxvM5xNWjUhOSUZFYuX6KP6etJU5+LKfc3Va58BUZ/9iUrli1m+ZJF+Pj68uW4iQYxJSYksGj+XH1MTZq1oFv3nsUWE0Dzjh+Qrcxk1byJZGakUiasKkO+nGtQ9sVFPyQ9T9n34PYVZk38QP984zLdTcRrNerA+0P/99LHNZc3O7+PMiuTRXOmkpGeRmj5Knz29U9YGZTnjwzK8zoNWpCSnMT6lb+RnBhP6TKhfPb1TBzz9OTs27mBjasX6J9/M2YQAANGjqNhnoalObTt1JvsrCyW/DKFjPRUQsuFM2r8rHx1VN56t/YbLUlNTmTTKl0d5R8YyqgJ/4466pmm7XXfk7ULviYzI5XAstUY+IWR719q7tDNh3cuM2dy7vdv83LdReWaDTvy3uD/kZwYw+UzulvT/PDF2wbvN3TcIoLL18Ic6jdsSnJyEqt/X0RSYgKBZYL5atL3+no3zki9+9Gn41i1fCErls7H27cUn331P/wDdFNzpFIL7t+7zYF9u8hIT8PZxY0qVWvQ/f1+Zr/d2PPMcd5naSnj2sWT/LltJUplJi5unlSr25R2b/c3ezxNG9QnOTmFJSvXkJCYRFCZAKZ9PVZ/j8WY2DiD3sL4hEQ+/Ogz/fM1G7eyZuNWqlQsz8wpuuleIwb0Y9GK1fw0dwGJycm4ubjQvnULenUz/A6+zorjvun/n0i0ReifzjvvUKvVMnXqVAYNGoSLi+EY9wkTXm34yKEr6a+0379Vwwq2HL2aVtLZMKn65e24eutxSWfDpMoH+7Bd9s/nqPybtMu5zo3b5l3Rt7iFBvm/djGBLq7rtx++OOF/SNkgP/ZcyC7pbJhUyypWnL6eVNLZMKmaZZ04di21pLNhUvXK2bPjbE5JZ8Ok2laTcfmWaddPKGkVg71eu3M+0J33PS7g9h7/VT6FDNv9N8tYWLz3cs3Lpt+kFyf6jylSD+PzDcHp06czcuRIypQpU8AegiAIgiAIgiAIxaiEbvn3uhL9tYIgCIIgCIIgCIJRJl30RhAEQRAEQRAEoUSJOYwmJf6agiAIgiAIgiAIglFF6mF8/pYZKpWKJUuW4OZmuBT2iBEj/nnOBEEQBEEQBEEQhBJVpAbjjz/+aPDcy8uL5cuXG2yTSCSiwSgIgiAIgiAIQskQi96YVJEajHfv3jVXPgRBEARBEARBEIR/mSLNYdy/fz/ly5cnJSUl32vJyclUqFCBw4cPmyxzgiAIgiAIgiAIRSGRSkvs8ToqUlQzZ87kww8/xMHBId9rjo6ODBw4kBkzZpgsc4IgCIIgCIIgCELJKVKD8cKFC7Ru3brA11u2bMmZM2f+caYEQRAEQRAEQRCEklekOYzR0dHIZLKCD2ZpSWxs7D/OlCAIgiAIgiAIwiuRvJ5DQ0tKkf6avr6+XL58ucDXL168iLe39z/OlCAIgiAIgiAIglDyitRgbNu2LePGjSMrKyvfa5mZmUyYMIE333zTZJkTBEEQBEEQBEEoEqmk5B6voSINSf3qq6/YsGEDoaGhDBs2jLJlywIQERHBnDlzUKvVjB071iwZFQRBEARBEARBEIpXkRqMnp6eHDt2jMGDBzNmzBi0Wi0AEomEVq1aMWfOHDw9Pc2SUUEQBEEQBEEQBKF4FanBCFC6dGl27NhBYmIit27dQqvVEhISgrOzsznyJwiCIAiCIAiC8NIkYtEbkypyg/EZZ2dnatasacq8CIIgCIIgCIIgCP8iEu2zcaWCIAiCIAiCIAj/cVlrviux91Z0+6zE3ttcXrmH0RyydvxW0lkwKUXbAQyalljS2TCpuZ87c3/AWyWdDZMq/dsmbtx+UNLZMKnQIH+2y8qWdDZMql3OdWZvf/2ubw1vJyFy+DslnQ2TKjV7LW+0P1jS2TCpI1sbkTLjo5LOhkk5jJpJ/Nf9SzobJuX69QKiIs6VdDZMyiusKpNXqUo6GyY1rrslqbM/LelsmJz98O/5cqGypLNhUlP6yUs6C8K/wL+qwSgIgiAIgiAIgvCPiDmMJiX+moIgCIIgCIIgCIJRosEoCIIgCIIgCIIgGCWGpAqCIAiCIAiC8PqQSEo6B68V0cMoCIIgCIIgCIIgGCV6GAVBEARBEARBeH1IRZ+YKYm/piAIgiAIgiAIgmCUaDAKgiAIgiAIgiAIRhWpwZiVlfXCNDdv3nzlzAiCIAiCIAiCIPwjEmnJPV5DRYoqPDyckydPFvj6jBkzCA8P/6d5EgRBEARBEARBEP4FitRgbNGiBQ0aNGDMmDHk5OTot9+8eZP69eszdepUFixYYPJMCoIgCIIgCIIgvBSppOQer6EiNRhnz57Nzp07WbVqFdWqVePvv//mxx9/pEqVKri5uXHp0iW6d+9urrwKgiAIgiAIgiAIxajIt9Vo1qwZly5domfPntSuXRsbGxvmzZvH+++/b478CYIgCIIgCIIgvLzXdC5hSXmlv+aqVav466+/qF27Njk5ORw6dIi0tDRT500QBEEQBEEQBEEoQUXqYXz06BEffPABp06dYtasWfTp04cLFy7Qu3dvKlSowKJFi2jWrJm58mrU6iPnWLr/b+JS0wn1ceeLzk2pVNr7hfvtPBvBF8u306RiEDP7vQVAjlrNzzuOcuTaXSLjk7BXyKkdWpqRbzbAw9HOzJEYav+GgjeqyLGWS7j9SMWqPRnEJGoKTP9mfQVvvmFtsC0qXs3XC1IAsFFIaP+GgnIBMlwcpKRlajl/I5sthzPJyjZrKADYNW6DY8tOWDg6kR15j4RV88m+Z3xFXc/R36AoWzHf9oxLfxM7+xv9c0uvUjh36YUitAJILch58pDYudNQJ8SZLY68tm/dzIb160hMTCAwMIiBg4cSWjaswPRHDh/k9+VLiYmOwsfHlz4f9KdGzdr61xMTE1myeD7nz54hLT2dihUrMXDQUHx8SxVHOLi8UYMyo/vhWK0iCh8P/u4yhOgt+wrfp2Etyv/wBXblQ8h6+IRbU38lctlGgzSlB79HmVH9kHu5k3IxgisfTSb59CVzhpKPVqvl1K7ZXDmxDmVmCt6B1Wj89gSc3AMK3OfS0VVcPraKlIRHALh4BVOr5VBKl2uoT6PKUXJ0yzRunNuORpWDX9n6NH57Ajb2buYOCdsGrbBv1h4LBydyHt0n8Y9F5Ny/bTSt+4gJyEMq5NueeeUs8XO/BcChTVesq9fDwskV1CqyH94hZetqsu/fMmscz+vXI4D2Lb2wt7Xk0rUUfvjlJpFPMgtMv25Bbbw9Ffm2b9j+iBlzb+HlIeePhXWM7jvu2yv8ddS85YWsyhvIazRFYmuPJvYxmX+tRxP1oOAd5NYo6rfFMrgyEoUtmtQElAc2orp7DQAL3zJY1WiKhacfUjtHMjYvRHW7eH9P8ppNsK7fCqmdI6qoh2TsXIXq0d0C00sU1tg07YRVuWpIrG3RJMeTvmsNOTd1+Xb66FssnPL/ZrJO7Sd9x0qzxZHXxu27Wb1pKwmJyQQF+DNyQF/KhQYbTXv3wUMWrVzHjdt3iIqJY1i/XnTt0NYgTUZGJgtXruXwidMkJicTEhjA8A/7UC4kqDjCMdCokpSqQRIUMngYp2XnaQ0JhVzjrx4soXqIFCdb3fPYZDh0WcPtJ1p9GlsFNA+XUsZLgpUM4lPgyBUNEZHaAo5qOrJK9bCq1giJjT2auCdkHdqEJvqh0bSWYTWwbtHNYJtWlUPar1/qn0us7ZDXb4eFXwgSuTXqx3fJOrgJbXLxnEs807yaBTXKWmBtBfejtWw+piI+5eX+ng0rW9C6piVHL6vYflKt3/5WfUuCfKQ42EB2DtyP0bD7tJrYZPN/TsLrpUgNxooVK1K7dm0uXbpEqVK6k9gqVapw+vRpJk6cSJs2bejXrx+//vqrWTL7vF3nIvhh00G+6tqcSqW9WXHwDIPnrWfzmA9wtbcpcL9HCcnM2HKQamV8DbZnZauIiIxmQIs6lPV1JyUji2kb/2Lkgk2sGt3T3OHotawtp0l1OUu3ZxCXrKFDAwXD37Fj4oIUVOqC93sUq+anNan65+o87UsnOwmOdlLW/5XJk3g1rg5S3mtlg5O9lN82pZsxGrCpUR+Xrh8Qv+JXsu/ewL5ZBzxGTuDx+KFoUpPzpY/99VuwzP1qWtja4z1+Jhl/H9Nvs3T3wuuzKaQd3UfSllVoszKR+fihzbMYkzkdPniABfPnMXTYCELDyrFl0wbGjxvD3N8W4eTknC/9tatX+H7aFHr36UfNWrU5eOAv/jf5a2bO+oXSAYFotVr+N3kClhaWjB0/CRsbGzZtXM9XX37OL/MWoFBYG8mFaVnY2pBy8ToPl6ynxh9zXpjeOqAUNbfM48Fvqznf6xNcm9al0rxvyHoSS9zeIwB4d21Due/HcHnoBJJOXSBwRG9qb1/IgQqtyY5NMHdIemf3L+DC4eU0f+9bHFxKcXLnT2yZ15/3Pt+OpUxudB87J0/qthuNk3tptFotEX9vYvuioXQbvQFXrxAAjmyeyr2rB2nT+yesFHYc3DCZHYuH8/aIVWaNx7paXZw69SJxzXyy79/ErnE73IeMJWryR2jSUvKlj1vwAxKL3N+U1NYezy++J/Pccf22nJjHKNctQhUXjURmhX2TdrgN/YqoScPRpKXmO6Y59Ojix9tv+vK/mRE8ic6if48AZkyqRM8hp8nOMX6C8+Gos0jzjJUpU9qWmd9U4a8jsQDExCnp8P4xg306tPbhvU6lOHHGvN9By9CqKBq9Rda+taif3MeqWiNsOw8ibfEUtJlGztilFth2GYwmI5XMbUvQpCUjdXBGm5XbYJbI5GhiH5Nz5SQ2HfqZNf/GWFWoiW2rd0jf9juqR3dQ1GmOfc+PSPr5K7TpRr4nFhY4vD8KTXoqqWvnoklNROroijYrQ58k+bdvyPshWnr44tBrNMqrZ4ojJPYfPsacRcsZNbg/5UODWbd1B598PZXff5mBs5NjvvRZymx8PD1oXK8OPy9aZvSY3/08j7sPIhn78VBcXZzZe+Awo8d/w9Kfp+Pu6mLukPTqlZNQK1TC5hMaktK1NK4k5b0mFvy6XW1wjpBXSgbsP68hIVULEqgSKKVbAynzd6mJfVq8dKwjRWElYc0hNRlKqBggoUt9KQv3qIlKNF88liFVkDdoT9bTCy+y8AbYdOhP+u/foc00fi6jVWaS/vv3eTYYliXW7fqg1ajJ3L4EbbYSq6oNsXlrAOkrvgdV8ZxTNKxsQd3yFvxxSEViqpbm1S3o20rGzA3ZhZ73Afi6SagVZsGT+Pwf6KM4Dedvq0lK02Ijl9CsqgV9W8v4fm3283+G14/k9Vx8pqQUaUjq1KlT2bVrl76x+IxMJuObb77h6NGjHDp0yKQZLMzyA2foXLcSb9WuSJCXK191bYHCSsamkwVfbVVrNHy5fAeDW9ejlKuTwWv21nLmDe5Kq6plCfBwoXKAD2O6NONqZDRPEvOfhJlLsxoKdh7P4sKtHB7Fqlm8LR0nOynhobJC99NotKSk5z7SM3NLg8dxGn7blM6l2znEJWm4/kDF5kOZVAqSmX1BJ4cWHUk9sof0Y/vJeRJJwopf0WYrsatvvDdak5GGJiVJ/1CUD0ebrSTjzFF9Gqe3epB5+SxJ65eS8/AuqtgoMi+cNtoANYdNG9fTqnUbmrdsjb9/aYYMG4lcLmfvnt1G02/ZvJFq1WvS+e138PMvTc9efQgKCmbb1s0APH70iOsR1xg8bAShoWUpVcqPIUNHkJ2dzcEDfxVLTLG7D3FjwkyiN//5UulLD3iXzLuRXPtsGmkRd7j/ywqi1u8mcGQffZrAj/rycOFaIpduIO3abS4NmYA6Iwu/Pl3MFEV+Wq2WC4eWUaPFIMpUbIabT1mavzeN9JQY7lwuONbACk0JKN8IJ/cAnD0Cqdv2Y2RWNkTfuwCAMjOVqyfX80bHzykVUgcPv4o0f3cqUffOEXXvvFljsm/yJunH95Fx8gCqqEckrZmPNjsb27pNjKbXZqSjSU3WPxRhldFmK8k8d0KfJvPMUZTXL6GOj0EVFUnSxmVIrW2Q+ZQ2ayx5de3gy7K19zlyMp7b99L55scIXF3kNKhTcI9tUkoOCUm5j3o1XYl8nMm5y7qyQKPB4PWEpBwa1nFl/5FYMrMKHrVhCvLqjcm5fJycK6fQJEST9ec6tKpsZBVrG00vq1gbicKGzC0LUT++izYlAXXkbTRxj/VpVPeuoTy2A9Wt4u1VfEZRtwXKs4dRnj+KOvYJ6dt+h5xs5FXfMJpeXvUNJNa2pK6eg+rhLTRJ8aju30AdHalPo81IQ5uWon/IQiujTohBde96scS0dvN23mzZlLbNGxPgX4rRg/ujkFux488DRtOXCwlicN+eNGtYDytZ/uvuSmU2h46fYlCf96hSoRylvL3o270rvt5ebN6518zRGKpVVsrhKxpuPNISkwSbT2iwt4awUgVX/Dcfa7n1REtCGiSkwl8XNWSrdA2TZ/zcJJy+oeFxAiSlw5ErWrJywMvZvCcUVuENyblyEtW1v9EkxqD8awNaVQ6y8rUK3U+bkZr7yHOxRuLkhoV3aZQHNqCJiUSbFIvyrw1gKUMWWtWsseRVr4IFf51Xc+2BhqhELesOqrC3gfKlCz9Nt7KEbo0t2Xgkh0wjo8VOX9dwL0pLUho8jtey94waJzsJzsU7aE54DRSpwTho0CAAMjMz2bJlCz/88AM//PADW7ZsITMzk5o1a3Lu3DmzZPR5OSo11yKjqRPqr98mlUqoE+LPxftPCtxv3u7jONvb0LlOpZd6n7RMJRKJrjFZHNwcpTjaSbl2T6XflpUNdx+rKONTeIewh7MF3w5xZPJABz540wZn+8ILbmu5hKxsLRpzXmWysMTKP4isaxdzt2m1ZF27gLxM2Zc6hN0bzUk/fQRttlK3QSLBulINVNGP8Rg5gVI/LMFrzHdYhxs/CTO1nJwcbt26QZXwavptUqmU8PBqXI+4anSfiIirhFetZrCtavUaRERc0x8TwMrKyuCYMpmMq1cvmzoEk3CqE07c/uMG22L3HsG5TjgAEpkMx2oViNuXp3dHqyVu/zGc6hRfRZySEElGaix+ofX02+TW9nj6V37php1Go+bGue3kZGfgFRAOQGzkFTTqHIPjOnuWwd7Zh6j7L3fcV2JhgcyvDFnX8zQYtFqyrl/CKiD0pQ5hW7cpGWeP5f6mjLyHbb3maDLSyXl03wSZfjEfTwVuLnJOn8/tnkjPUHP1RgoVwxxe6hiWlhJaNvFk+59RBaYpG2RHaJA92/YWnMYkpBZIPUuhun8jz0Ytqvs3sPAOMLqLZVBFVE/uoWj6NnYDJ2Pb63OsajX/91wpt7DA0qc02XfylHNaLdl3riErVcboLlZlw1FF3sG23Xs4fzIDxyETsW7QtuCYLCyQV66D8twRMwSQX06Oihu371K9Su45gVQqpXqVSly5fqOQPQumVqtRazRYyQwv8sqtrLh0LeIf5bconGzB3lrC3ajcSl6ZA4/iDRt/hZFIoIK/BJklRMblHudhnJby/hIUT6usCv4SLC3gfowZTyikFkg9fFE/zDudRYv64U2kXoVc2JJZYdv7S2z7jEXRrg9SF0/9S89GXmhVqjw7aEGtwsIn0LT5L4CzPTjYSLj9OPcCljIHImO1+HsU/jl1qGdJxEMNtx+/+O8us4RqoVISUrQkm3dg2b+DVFpyj9dQkVdJ3bJlC/379ycuznBst5ubGwsXLqR9+/Ymy1xhEtMzUWu0uNrbGmx3tbfhbozxYUZn70Sy8eRl1n7yciu6KnNUzNx2iDZVw7BTFE+D0cFOVzikpBte+U7N0OJgW/CX8O4TFUt3pBOdoMHRTkK7+tZ80sOeSYtSUBq56mRrLaFtPQVHzhdwwmgiFnb2SCwsUKckGWxXpyYj837x3DyrgBCsfEsTv/Rn/TapvSNShTUOrTuTtHkFieuXYV2xKu6DPid6xjiUN66YOgwDKSnJaDQanJ0Nh546OTkT+dD4PIqkxEScnJzypU9K1H1XS/n54e7uwdLFCxk2/CPkCgWbN60nLi6WxITiG7pZFHJPN5TRhuWAMjoOmaM9UoUcmbMjUktLlDHxz6WJx7as8ZNLc8hI0Q1NtLF3NdhuY+9GRmrhc1TiHl9n/azuqFRKZFY2tO37My5eunlN6SmxSC1kyK0NGzPWdq5kpJhv7ovU1gGJhQWa535TmtQkZJ4+L9xfVjoImY8/CSvzTx1QVKiGS9+PkMis0KQkETvnGzTGhhmagYuz7swzMclwCFhiUrb+tRdpWMcNO1tLduwruDH4Zksv7j5I53KEeUeNSKxtkUgt0GYY/v20GalY5DlhzUvq6IrUL4SciDNkbJyH1MkdRbO3QWpB9gnjoxeKk8TGThfTc8OetekpSNy8jO5j4eyGNDAM5cUTpKz4CQsXD2zb9QCpBZkHt+ZLbxVWFYnChqzzR40czfSSU1JQazT5hp46OznyIPLRKx3TxsaaCmVDWLZ2A6VL+eLs5MS+w0e5cv0Gvl7G/07mYPd0JkN6luH29Cwtdvmn/RrwcIS+LSywtIBsFaw7rCEuz8e+/qiGLvWlfNrFErVGS87TNIlmXP/w2W9Kk2H4JtqMNCycPYzuo0mKJWvfOjRxT5BYKbCq1gibt4eSvmI62vRkNIkxaFISkddrQ9Zf6yEnG6vwBkjtndDY2JsvmDzsrXXnfWmZho2+tEwtdtYFNxgrl5Hi4yrhly2qAtMA1C4npXVNS+QyCbFJGhbtyi5wOLIgFKRIDcZjx47x9ttv06FDB0aPHk25cuUAuHr1KtOnT+ftt9/m4MGD1KljfIGBZ5RKJUqlYUNFLjdvgyw9K5uxK3YyoVtLnO0Knt/4TI5azadLt6LVwtiuzc2Wr1rlrXivVW5+5vzxaqXtlTu5BcajWLj7OI0pgx2pHmbFsYuGLUaFFQx7244n8Rq2Hs16/lD/KnZvNCc78p7BAjmSp1emM8+fIvVP3QlHTuRd5EFh2DdsZfYGozlYWlry5VcTmPXTdLp366zrsaxajeo1ar7+8wxM7PqZrRxYN0H//M3+c1/5WM4egXQbvZHsrFRuXdjNn6u+oPPQ5fpG43+RbZ2mZD+6b3SBHOXNK0R/+ykWdg7Y1muG6wcfE/PDl0bnRf5TLRp58OnQ3B7Rzyb98yGW7Vp4cfJMAvEJxlfysrKS0ryhJ0vXFE+vaZFJJGgz0sjauwa0WjQxkWTbOWJVo8m/osH4SiQSNOkppG9dBlot6if3kTo4YV2vldEGo7zqG+TcvIy2mKYXmMvYj4cybfY8unwwBAuplJCgQJo1qM/123fM9p4VS0toVzP3wvKqgy+Y/FaIuFT4bZcauQzK+0vpUEfKsn1qfaOxcWUpCpmE5fvVZCq1lC2lm8O49E81Mf+ij04TdR9NVO7vPTPqHrY9PkVWsQ7ZJ3eDRkPmjqUomr2D/YBJaDVq1A9vobp3zWw9+1WCpLxVP/f0e9meos+TdLSFN+tYsmhnzgvnOJ6/peHWoxzsbaBBRQu6N5Uxb9uL9xOEvIrUYPzmm2/o27cv8+bNM9her1496tWrx8CBA5k0aRI7duwo9DhTp05l4sSJBtsmTJjAF7VefHX8GWdbayykEuJTDfvV41MzcHOwzZf+YXwSjxNSGLEgdwVHzdMz8WqjZ7B5zAf4uTkBzxqL23iSmMr8IV3N2rt44VY2dx/nNvaerfXiYCslJT3312xvIyEy5uV/3ZlKLdEJajycDHsl5VYw/B17srK1zN2QhsbMV5nUaalo1WosHJwMtlvYO6JOLnxmvMRKjm3NN0jabLiAiO6YKnKeGPbm5TyJRB5cziT5LoyDgyNSqZTERMP8JyUl4uySf8EbACdnZ5KSkvKld3LOXfwgOCSUWT/PIz09HZUqB0dHJ0Z/NJzgkBCTx2AKyug45J6Gc8vknm7kJKeiyVKSHZeIRqVC7uH6XBpXlFHm64ELrNAET//K+udqta7xkJEaj61D7lXojNQ43HwL/75YWFrh5K4b6uThV5GYh5e5cGgZTd6ZhK2DOxp1DsrMFINexsy0eGwczLdKqiY9Ba1ajfS535TU3ilfT/7zJFZybKrXJ2X7GqOva7OVqOOiUcdFk33vJp7jfsK2blNS924yTebzOHIqnqs3/tY/t5LpyipnJxnxibkNPmcnK27defGFNE93OTWqODN2asEXjJrUd0Mhl7Jrf/Q/yPnL0Wamo9WokTzXSyGxsUeTbrwBrn362ea9SqRJiEZq5whSC9CU7BmeNiNNF5OdYa+6xNYBbZrxVoImNRmtxjAmdewTpPZOYGEB6tyYpI4uyMqUJ3XNL2bJvzGODg5YSKUkJhnmPzEpGRdnp1c+rq+3F7OmTCAzK4uMjExcXZz5+ruZ+Hga7102hRuPtDyKz/17Wj6t/m0VkJbn2rCtQkJUYuFXIjUa9L2FUYkavF2k1CorZcdpDc52UCtUytztKv0iONFJWvzctdQIkbLjb/OcWDz7TUlt7Mj7DhIbOzQZLzkSQqNBHfsIqVNuvaSJfUTG6h/BSqHrQc9Kx6brcNQxkYUc6NVde6DhYUxuGWdpoWuY2llLSM3Ty2hnLeFJgvG/pY+bFDtrCUPfyh32bCGVEOAloU55C8YvyV3URpkDyhwt8SnwMEbFuJ5WlC8t5eKd17yb8d8ylP81UaSBtidOnGDYsGEFvj506FCOHz9e4OvPjBkzhuTkZIPHmDFjipIVZJYWlCvlyckbucuTazRaTt58QGUjt9UI9HDhj896s+aTXvpH4wpB1Az2Z80nvfBy0lXqzxqLD2ITmTf4bZxszbs6pTIbYpM0+seTOA3JaRrCSue25RVWEOhjyZ3HhQ87yEsuA3cnKcnpuYWPwgpGvmOPWq3ll/VpxXN1Sa0i+8FtFGG5J/BIJCjKVUZ5p/AFDWyq10diKSP95MF8x1Teu4Wll+EqtzJPH9TxsabKeYFkMhnBwaFcvJA7X1ej0XDh/DnKhpU3uk9YWHkunDec33v+3FnCwvI3WGxtbXF0dOLxo0hu3bpB7br18qX5N0g6cR7XpoajCdya1SPxxHkAtDk5JJ+9glvTurkJJBJcm9Ql6YT55jpbKexwci+tf7h4BmNj707kzdyyKTsrjegHF/XzEV+WVqvRN0DdS1VAaiHj4Y3c4ybG3CE18TFepYt23CJRq8l5eAdFaJ5bz0gkyEMrkn2v8DlX1lXrILG0JOP04Zd6K4lEgsSy8MW2XlVmpppHT7L0j7sPMohLUFKjSu5FFxtrC8qHOrzU8NF2zb1ITM7m+On4AtO82cKbI6fiSUophpUPNWo00ZFY+ue94CPB0j8U9ZN7RndRP7qL1MkdyD3RkTq7o0lLLvHGIgBqNarH95EF5im3JBJkZcLIiTTec5bz8BYWLh4GJ28Wrp5oUpMMGoug613UpqeQc/MixUUmsyQ0KJAzF3Pnims0Gs5evEyFsi83J7gw1goFri7OpKalcfr8RerXrv6Pj1mQbJWukffsEZsCqZlaAr1y//ZWluDrCo/iijZ0RSLJbYDKLHT/Pn8ErdbM5+gaNZqYR1iUyjvCQ4KFX7BBL2KhJBKkbt7GV/TNzkKblY7E0Q2pRylUd8wzWik7R7eY0LNHTJKWlAwtQT65p+RyGZRyl/CggDmhtx9r+GlDNj9vytE/ImM1XLit4edNOYWPTJKApYWJgxJee0XqYczMzMTBoeDFBxwdHcnKevEQR7lcbnQIalEHR77fuDrjVu6igp8XFUt78fvBs2Rm5/BWbd2J1NgVO/FwtGPkmw2QyywJ8Ta86m9vrRvE/2x7jlrNJ0u2ci0ymtn9O6HRaIlL0fVgOtookBXTL2zf31m0qacgJlFDXJKaDg2sSUrTcP5G7knOR93sOH8zhwNndUN7uzSx5uKtHBKSNTjaS2j/hjUaLZy+qju5VVjBiG72WFnCom0ZWMslPFvHJzVDa9Zhjyl7N+PWdyTZ92+hvHsTh+btkVgpSDuqu8efa9+RqJPiSdr4u8F+dm80J+P8SaNzqFJ2b8R9wCcob1wh6/olrCtWw7pyTaKnf2W+QPJ4q1MXfpzxHcEhoYSGlmXz5o1kKbNo3qIVADN+mIarqxu9++qWve/QsRNjPh/Nxg3rqFGzNocPHuDWzRsMG/6R/phHDh/E0dEJd3cP7t27y/x5v1C7Tj2qVatRLDFZ2NpgG5y7iJRNYCkcqoSRnZBM1sMnlP1mFApfTy70/RyA+7+tpvSQHoRN/ZSHS9bj1qQO3l3bcLrDQP0x7s5cTJVF00g6c5nk0xcJGNEbS1trHi7dUCwxga7RU6VhL/7eOxcntwDsXXw5uWsWtg4elKmYO9x80699KFOxOZUb6G6hc2zbdEqXa4i9szfZWencOLuNR7dP0WHAAkC3cE752l04umUaChtHrBR2HNr4DV4B4UVuiBZV6l/bcOk5lOwHd8i+fwu7xm2RyuWknzgAgPP7Q1EnJZCy1bB33rZuUzIvns43B0hiJce+VWeyLv2NOjkRqZ09dg1aY+HkQsa5F18ENJV1Wx7Ru5s/Dx9n6m6r0TOA+AQlh0/k9kjP/KYyh47HsWF77sqhEgm0be7Frv3RBc7N8fVWUKWCI59OLL7VRZVnDmDd+j3U0Q9RRz3Q3TtOZkXOlZMAKFr3QJuWjPLINgCyLxzFKrwBiiadyD53GKmzO1a1WpB9Ls/q4zKrp41KHamjC1J3X7RZ6WhTk8weU9bxvdh1+gD14/uoHt1FUac5Epkc5TndnEO7Th+gSUkiY5/uN648fQBFrabYtH6XrFP7sXDxwLpBO7JOPnePV4kEeXh9lBeOY/ahL895p2M7pv70K2HBZQgLCeaPrTvIzFLSpnkjAP734xzcXV0Y0Ks7oFso597DyKf/VxMXn8DNO/ewtlZQyls3R/HU2Qto0eLv60PkkyjmLlmBv68PbZs1LtbYTl3X8EYFKQmpGpLStDSuLCU1E4P7JfZsIiUiUsvfN3XbmlaRcuuxhuQMkFtCxQApAR4SVhzQfS5xKRCfqqVtTQv+PKcmMxvKlpJQxkvC6oPm/eyyzx9C0bwb6phINNEPkYU3QGJpRc7V0wAoWryLJi2Z7OM7AbCq2Rx11AM0yXFI5NZYVWuE1N6ZrKe/QQDL4MpoM9PQpCZh4eqNvGEHVHeuoH74aosevYpjV9Q0CbcgLkVLYqqWFtUtSM2Aq/dz/5792si4ck/NiWsasnMg+rle4mwVZGRp9dud7aFyoAU3H2lIz9LiaCuhUWULVCq4/vA1710EkLyei8+UlCI1GENCQti/fz99+/Y1+vq+ffsIKcbhc62rhpGYlskvu44Sl5JBWV93fhnYRb8QTlRiCtIiXO6KSU7jwGXdvJ53flhu8NqCoe9QM9jPdJkvxJ6TSuQyCT1a2WCjkHArUsXstYY9gu7OUoPJ0E72Uvq1t8XWWkJappZbkSqmLU/VT6L297TUr7L6zUDDyf1jf00mPsV8hUfG30dJtHfEqUN3LBycyY68S8ysifpbYFi6uOe7L5Klpw+KkPJE/zjB2CHJPH+S+BVzcWzdBed3+6OKfkzs3Gkob10zWxx5NWjUmOSUJFYsX0piYiJlygQxcdIU/UI4sbExSPLcr6Rc+Qp88tkYfl+2hGVLFuPj68vYcV9TOiB3FbaEhAQWzp+nG9rq7ELTZi3o1r1HscQD4Fi9InX35X7vy/+gu7Hxw2UbuNhvDHJvd6z9cnvvM+9FcrrDQMpPH0PA8F5kRUZxaeBX+nswAjxZtxMrdxdCJ4xA7uVOyoVrnHqzP9kxBfcCmUO1pv1RZWfy17rxKDNT8A6sTvsB8w3uwZgc94DM9NxhxplpCfy58nPSU2KRW9vj6l2WDgMW4F+2vj7NGx3HIJFI2blkJGp1Nv5l36BRl/Fmjyfz7HGS7BxwaPcOFvZO5Dy6R9wvU3J/U85u+X9THt7Ig8oR+/PkfMfTajTIPH2wrTUaqa09moxUsu/fJmbmBFRR5hmWZcyK9Q9RKCz4bFgodraWXLqazOgJlwzuwejrZY2Tg2GvZ41wZ7w8FGwvZOXTds29iY1XcuqcGW8S9xzVjXNk2dgir9cGiY2DbujbhnlonzbYpfbO+qkRANq0JDI2zEXe+C1se32GNi2Z7HMHyT6d27iy8PTH9p3ckT6Kxp0AyL5yiqzd5r/JffaV02TY2mHdpCNSOwdUUQ9J/X0m2qfDbKWOrmjzDqlNSSR1+Y/YtO6G0+Cv0aQkknXyTzKP7DQ4rqxMOSycXMkqptVR82raoB5JKSksWrmOhMQkggNL8/2EL3B5ulBZTFwc0jzleVxCAv0//kL/fPWmbazetI3wiuX46X+6OistI4P5y1cRG5eAvb0djerWon/Pd7G0LNJp1z927JoWmaWWdjWlKKzgQayWlQcM78HobCfBRg7P+gxt5NCxjgV21rrhjNFJWlYc0OhXW9VoYfUBNU3DpXRrZIGVJSSm6m7ZceuJeSfdq25eQGlti7x2KyS29mhiH5OxZYH+VhkSOyekeb5/Erk1iqZvI7G1R5uViSY2kox1P6NJjMlNY2OP/I32SGzs0KankhNxhuzTL3d7KVM5dFGNlSV0qm+JwgruR2tZvNtwnqGLvQRbxcuf06rUEOAloX5FGQorSMuEe1Ea5m7LybcQkiC8iESrffm+pR9//JFvvvmG5cuX07ZtW4PXtm/fTu/evfnyyy8ZNWrUK2Uma8dvr7Tfv5Wi7QAGTSu+k5PiMPdzZ+4PeKuks2FSpX/bxI3bD16c8D8kNMif7bKXu23Jf0W7nOvM3v76rQA0vJ2EyOHvlHQ2TKrU7LW80f7gixP+hxzZ2oiUGR+VdDZMymHUTOK/7l/S2TAp168XEBVRPLf3Ki5eYVWZvOrlp6T8F4zrbknq7E9LOhsmZz/8e75caN7V54vblH7Fc5cAU8vataDE3lvR+vUqV6GIPYwjR47k2LFjvPnmm5QtW5Zy5cqh1Wq5du0aN2/e5K233uKjjz4yU1YFQRAEQRAEQRCE4lSkAb5SqZR169axatUqQkNDiYiI4Pr164SFhbFixQrWr1+P9DW9YaUgCIIgCIIgCML/N6/UuuvWrRubN2/m6tWrXL16lU2bNvHuu++aOm+CIAiCIAiCIAhFI5GU3OMVzJkzh4CAABQKBbVr1+bUqVMvtd/q1auRSCS89dZbr/S+L6vIPYwWFhaFPop7QrcgCIIgCIIgCMJ/0Zo1axg1ahQTJkzg7NmzVKlShVatWhETE1Pofvfu3eOTTz6hQYMGZs9jkVp3GzduLPC148ePM2vWLDTFvBy2IAiCIAiCIAiC3n/othozZszgww8/1N+FYu7cuWzfvp1FixbxxRdfGN1HrVbTo0cPJk6cyOHDh0lKSjJrHovUYOzYsWO+bdevX+eLL75g69at9OjRg0mTJpksc4IgCIIgCIIgCP8VSqUSpdJwtdyC7kGfnZ3NmTNnGDNmjH6bVCqlefPmHD9e8H2QJ02ahIeHB/369ePw4cOmy3wBXrn5/fjxYz788EMqVaqESqXi/PnzLF26lNKlS5syf4IgCIIgCIIgCP8JU6dOxdHR0eAxdepUo2nj4uJQq9V4enoabPf09CQqyvi9hY8cOcLChQuZP3++yfNekCJPOExOTmbKlCnMnj2b8PBw9u3bVyxjZwVBEARBEARBEF7oFRefMYUxY8bkuye9sd7FV5Gamsr777/P/PnzcXNzM8kxX0aRGozfffcd06ZNw8vLi1WrVhkdoioIgiAIgiAIgvD/UUHDT41xc3PDwsKC6Ohog+3R0dF4eXnlS3/79m3u3btH+/bt9duerR9jaWnJ9evXCQoK+ge5N65IDcYvvvgCa2trgoODWbp0KUuXLjWabsOGDSbJnCAIgiAIgiAIQpH8R+4Lb2VlRfXq1dm3b5/+1hgajYZ9+/YxbNiwfOnDwsK4dOmSwbavvvqK1NRUfvrpJ/z8/MySzyI1GHv16oWkBLt4BUEQBEEQBEEQXhejRo2id+/e1KhRg1q1ajFz5kzS09P1q6b26tULX19fpk6dikKhoGLFigb7Ozk5AeTbbkpFajAuWbLETNkQBEEQBEEQBEH457T/oQ6ubt26ERsby/jx44mKiiI8PJxdu3bpF8J58OAB0hLuMS3yojeCIAiCIAiCIAiCaQwbNszoEFSAAwcOFLpvcXTo/TcG+AqCIAiCIAiCIAjFTvQwCoIgCIIgCILw+pCIPjFTEn9NQRAEQRAEQRAEwSjRwygIgiAIgiAIwutD9DCalESr1WpLOhOCIAiCIAiCIAimkHlgVYm9t3Xj7iX23ubyr+phXH6opHNgWu83hLSTW0s6GyZlV7s9E3/PKelsmNSEnjJu3H5Q0tkwqdAgf2Zvf72uBQ1vJ2G7rGxJZ8Pk2uVcZ/FfJZ0L0+rbBGKvnirpbJiUe/la/H749fpN9WwgYc7Oks6FaQ1tA1PXqks6GyY15h0L7t6+VdLZMKnAoGDeGX2vpLNhcmunBxAzpldJZ8OkPKYuK+ksCP8C/6oGoyAIgiAIgiAIwj/xX7oP43+BGOArCIIgCIIgCIIgGCV6GAVBEARBEARBeH2IRW9MSvw1BUEQBEEQBEEQBKNED6MgCIIgCIIgCK8PMYfRpEQPoyAIgiAIgiAIgmCUaDAKgiAIgiAIgiAIRokhqYIgCIIgCIIgvD6kok/MlMRfUxAEQRAEQRAEQTBK9DAKgiAIgiAIgvDa0IpFb0xK9DAKgiAIgiAIgiAIRokGoyAIgiAIgiAIgmCUGJIqCIIgCIIgCMLrQyL6xEypSA3GQ4cOvVS6hg0bvlJmBEEQBEEQBEEQhH+PIjUYGzdujOTpJFKtVms0jUQiQa1W//OcvSStVsvBLbM4f3gdWRkplAquRtseX+PiGVDgPkd3zCPi7B7io+5gaaWgVFBVmnX5BFevMgBkpidxcPNs7lw9QkrCE2zsXSgb3pxGHUeisLE3e0xr/zzKsh0HiE9OJcTPm8/e70TFIH+jafefvsSirft4GBOHSqXG38udnm0a0a5+dYM0f/x1nIi7kSSnZ7By8seULe1r9jie17iylGohUhQyeBirZfspNQmpBaevESKlRqgUJ1vd85hkLYcuabj1OPe752wHLapZ4O8hwVIKt55o2XlaTXqWmYMBtm/dzIb160hMTCAwMIiBg4cSWjaswPRHDh/k9+VLiYmOwsfHlz4f9KdGzdr61xMTE1myeD7nz54hLT2dihUrMXDQUHx8S5k/mDy0Wi2nds3myol1KDNT8A6sRuO3J+DkHlDgPpeOruLysVWkJDwCwMUrmFoth1K6XO7FI1WOkqNbpnHj3HY0qhz8ytan8dsTsLF3M1ssLm/UoMzofjhWq4jCx4O/uwwhesu+wvdpWIvyP3yBXfkQsh4+4dbUX4lcttEgTenB71FmVD/kXu6kXIzgykeTST59yWxxGKPVajm8dRYXjug+J9+garTqXnjZd3zXPK6f20PC07LPt0xVGnfKLfueP/66nz/kzpXDdB40h9Dw5maMRmf9jr2s2rSDhKRkggL8+Lh/L8qHBhlNu2XPX+w6cIQ7DyIBKBsUyMAeXQ3SHzx+mk2793P99j1S0tJYPOMbQgJLmz2OvLRaLQc3z+bc0zrKL7gabXpOwLWQz+nIjnlEnN1L/JM8ddTbo3HL8zmdPbiGyye38eTBVbKz0vl01ikUNg7FEJEuppM7Z3H5aRnhE1iNJl2/LrSMOL13Hrcv7iEx5g6WMgXeAVWp3/4TnD1zY0qKe8CRzdN4fOcMalU2pcs1oHGXcWYtI57XoIKE8DIS5DKIjIfdZzQkphWcvmqQhGpBEhyf1lNxyXDkqoY7UYbpfF2hYUUpPq6g1UJ0Eqw5pEFlxtOlLVu38cf69SQmJlImMJAhgwdRtmxZo2nv3b/P8uW/c/PWLWJiYhg44EM6vfWWQZpt27ezbfsOYqKjAfAvXZoe3btTs2YN8wVRgHdaOdGsjh221lIi7ipZsD6eqDhVofs4O1jQ801nwsOskVtJiIpT8cvqOO5EZgNQq5INLeraU6aUFfa2Fnw6/TH3H2cXRzhY12mGTcO2SO0cUUU9JHXLclSRd4ymdfpwDFZlyuXbrow4T/LSGfrnts07o6jZGKm1DTn3b5K6aQnq+GizxfBvoxU9jCZVpL+ms7Mzfn5+jBs3jps3b5KYmJjvkZCQYK68GnV813xO71tOm55f0/fLtVhZWbNyZj9UOcoC97l/4xQ1mvSg75i19Ph4MRq1ihU/9iNbmQFAalIMackxNO/6OQO+3kb7PlO5ffkw25aONXs8e06cZ8bKLQx4qwUrJn1EqL8Pw76fT0KK8ZaVg501H3RoxpJxw1n9v9G0b1CTifPXcOzidX2azOxswkMDGN6tndnzX5D65aXUDpOy/aSaBbtUZKugZ1NLLAr5BqZkaPnznJrfdqr4baeKe1Fa3m1kgbuj7nWZBfRsprvmsexPFYv2qLCQQvfGFmaP5/DBAyyYP4/u7/Vk5uxfCSxThvHjxpCUlGg0/bWrV/h+2hRatmzNT7N/pU7d+vxv8tfcv3cX0J2A/W/yBKKfRDF2/CR+mv0r7h6efPXl52RlZZo9nrzO7l/AhcPLadz1a7p+tBaZlTVb5vUv9Ddl5+RJ3Xaj6TZqPe98/AelQuqwfdFQ4qNu6tMc2TyVu1f+ok3vn+g0dBnpKTHsWDzcrLFY2NqQcvE6l0dMfKn01gGlqLllHvEHTnKkRkfuzl5KpXnf4NbiDX0a765tKPf9GG5+M4cjtTqRejGC2tsXYuXuYq4wjDq5Zz5n/lpOq/e+ptfnus9pzezCy74HN05RrVEP3v98Ld1G6sq+NbNyy768Tu9bChTfKnP7jpzg58Ur6dutEwunTyY4wJ9Rk74jMSnZaPpzV67RvEFdZk/+knnfTsDTzYVRE78jNj63DspUKqlcLpTBvboVVxj5HNu1gFP7ltO259d88OVaZHJrVv5Y+O/pwfXT1GzyHn2/XEOPUYvQqFWsnNHf4HPKyc4iqGID3mg7sDjCMHBm33zOH1pOk65f0+3jtVhaWbNpbuHfvUe3T1H5jR6889Fa3hq8GI1Gxaa5/ch5GlOOMoNNv36ARCKh89CldB25Co0qh63zB6HVaIolrjphEmqESNh1RsPSfRpyVNCtobTQeio1Q8uBixoW79WwZK+GezFa3q4vxS1P293XFd5pIOVutJalf2pY8qeGMze1FHDd3SQOHjzE/Pnz6fnee/w8exZlygQydtw4kpKSjKZXKpV4eXvxQd8+ODs7G03j5ubGB337MHvWT8z66SfCq1Rm4uTJ3Lt/33yBGNGxiQNtGjgw/494vvzpCcpsLWMHeCKzLLi8srWWMnm4Nyq1linzo/n4u8cs25JAembud0tuJSHibhYrthuvx81FXqk2du3eI33fJhJ+Ho/qyQOcPvgUia3xDork32cR97/h+kf8j2PQqtUoL53Sp7Fp2A7rei1I3bSEhF8mos1W4vTBp2ApK66whNdMkRqMT548Ydq0aRw/fpxKlSrRr18/jh07hoODA46OjvpHcdFqtZzat4w32g2mbHhzPEuF0eGD70hNiuH6uT8L3O+9jxZSpX5n3H1D8PQLo33fb0lJeMyT+1cA8PAN5e3Bswmt0hQXD38Cy9WlcaePuHlxPxp14Vew/qnfdx2kU+PadGhYizK+XnzZpwsKuYzNB08bTV+jXDBNa1Qi0NcTP0833mvVgGA/b87fuKtP065+dQa81ZLaFULMmvfC1C4n5dAlDdcjtcQkwaZjauxtIMyv4AL+xiMttx5rSUiFhFTYf0FDtgpKuen28fOQ4GQLm46riUlCf1wfVwmBXuY90d20cT2tWrehecvW+PuXZsiwkcjlcvbu2W00/ZbNG6lWvSad334HP//S9OzVh6CgYLZt3QzA40ePuB5xjcHDRhAaWpZSpfwYMnQE2dnZHDzwl1ljyUur1XLh0DJqtBhEmYrNcPMpS/P3ppGeEsOdywX/pgIrNCWgfCOc3ANw9gikbtuPkVnZEH3vAgDKzFSunlzPGx0/p1RIHTz8KtL83alE3TtH1L3zZosndvchbkyYSfTmgvOeV+kB75J5N5Jrn00jLeIO939ZQdT63QSO7KNPE/hRXx4uXEvk0g2kXbvNpSETUGdk4deni5miyE+r1XJ63zLqtRlMaHhzPEqF8Wbf70hLiuHG+YJj7TZiIZXrdcbdJwTPUmG0660r+6IeXDFIF/3wGqf/XETbXlPMHYre6i07ad+iMe2aNSTQz5dPB/VFIZezbZ/xqRATPh5C5zbNCQksTelSPnw+pD8arYa/L17Vp2nd+A36dutEjSoViisMA1qtllN/LqPBm4MoW7UZnn5l6fjBNFKTYogorI76eAFV6nfGwzcEL78wOnwwleQ8dRRA7Ra9qd92AL5lqhRHKHparZbzh5ZRq+Vggio1x80njJY9viM9OYY7lwqO6a1BCylfuzOu3iG4+4bR/L1vSU18TEykLqbHd8+SmvCI5u99i5tPWdx8ytKixzSiH17m4c0TxRJbzRAJR69pufkYYpNh2ykN9tYQ6ltwfXLrCdyOgsQ0SEiDQ5e1ZKvAxzV3n2bhUs7c0nIiQktciq4+i4jUojZjO3jDxo20bt2ali1bUNrfn+HDhiGXK9i9Z4/R9GVDQ/mwXz8aN2qETGa8UVGndm1q1ayJr68vpUr50qd3bxQKBREREeYLxIi2DR3Y8GcSf1/J5MGTHH5eFYuzgyU1K9oUuE/Hpo7EJ6n4dU08tx9mE5ug4uKNLKLjc8/pDp9JZ/3eZC7dKIYhSnnYNGhN5ukDZJ05jDrmMamblqDNVmJdo5HR9NrMdDRpyfqHVUhFtDnZZOVpMFrXb0X6X1vIvnYWddRDUtbOQ2rvhLx8teIKq+RJJCX3eA0VqcFoZWVFt27d2L17NxEREVSuXJlhw4bh5+fH2LFjUanM25h6XlJcJGnJsQSWq6ffprCxx7dMFSLvnHvp4ygzdb131rYFN3aVmWnIFXZILcy3TlCOSkXEvUfUqhCq3yaVSqlVPoRLt158BU+r1XLqyk3uP4mhWlj+IWYlxckO7K0l3InKrR2VORAZp8XP/eV+WBIJVCgtQWYJD+N0l2Utn357846AVql1w338Pcz3g83JyeHWrRtUCc8teKVSKeHh1bgecdXoPhERVwmvalhQV61eg4iIa/pjgu43lveYMpmMq1cvmzqEAqUkRJKRGotfaO5vSm5tj6d/5Zdu2Gk0am6c205OdgZeAeEAxEZeQaPOMTius2cZ7J19iLr/csctDk51wonbf9xgW+zeIzjXCQdAIpPhWK0CcfuO5SbQaonbfwynOlWLLZ/JcZGkp8QSkLfss7bHJ7AKj16l7LPJLftysjPZsnA0Ld4dj52ju+kyXYicHBU3bt8zaNhJpVJqVK7Aleu3XuoYymwlKrUaBztbc2WzyAquoyrz6Pb5lz6OMuPFdVRxSYmPJCPFSBlRugpP7r38dy/76XdP8fS7p1Zlg0SChWVuGWghkyORSHl854yJcl8wJ1uws5ZwLzq320+ZA4/jdT2EL0MigXJ+unrqUbzuODZy8HWVkJ4F7zeVMqKDlB6NpZQy4yjbnJwcbt66RdXwcP02qVRK1fBwrpmocadWqzlw8CDKrCzKlcs/PNJcPFwscXaw5GKeRl1mlpZbD5SElpYXuF+N8tbceajk417uzP/aj2mjvGlW2644slw4CwssfQLIvpXnop1WS/btq8j8g1/qENY1GqK8eAJydMNnpc7uWDg4kZPnmFplJjkP77z0MQXhea/c+vH392f8+PG8//779OvXj2+//ZbRo0fj4lJ8w7LSkmMBsHUwLM1t7V1JT457qWNoNRr2rJ5CqeBqePiGGk2TkZrA4W2/ULWheYc1JaWmo9ZocHUwLMRcHe259ySmwP1SMzJpM3Iy2SoVFlIpX/TqTJ2KxmMpCXYKXePt+XmF6Vlgqyi8YefhBP1aWWJpAdkqWHNQTdzTEWqRcboruc2rStl3XoME3f+lUgn21qaP45mUlGQ0Gk2+YTtOTs5EPnxodJ+kxEScnJzypU9K1A2fK+Xnh7u7B0sXL2TY8I+QKxRs3rSeuLhYEotxmHdGiu43ZWNv+JuysXcjI7Xw31Tc4+usn9UdlUqJzMqGtn1/xsVLVzmlp8QitZAhtzacY2Vt50pGysv9VouD3NMNZbRhfpTRccgc7ZEq5MicHZFaWqKMiX8uTTy2ZYvvIk1aSiFl30v+PbUaDX+um0KpoGq45yn79q2bim9Q1WKZs/hMcmoqao0Gl+dGqLg4OXD/0eOXOsYvy9bg5uxcYr2JxhRYRzm4kVaUOmrNFPwKqaOKU0ZqQWXEy/+WtRoNhzZOwTuwGq7eupi8AsKRWVlzbMv31H1zFGi1HN02Ha1GrS+XzMlWofs3Xz2l1OpfK4i7I/RqKtXXUxuOaohP0b32bA5+gwoS9l3QEpOkpWKAhO6NpCzYXfj8yFeVkpKCRqPBydnJYLuTkxMPC6ijXtbdu/f4ePRosrOzsba2Zty4ryjtb3yNBXNwctBNOUlONZz8mZyq1r9mjIerjBb1ZGw/mMzGfckE+VnRt5MLKrWWg3+nmzXPhZHa2COxsECTlmKwXZOajKW79wv3tyxVBksvP1LWL8w9pr2uHNWkGQ7n16QlI7V3+ueZFv5feqUGo1KpZP369SxatIjjx4/Trl07tm/f/tKNRaVSiVJpONdBLpcDBV8dArh0Ygs7fp+gf/7u8HlFzvvzdq6cSOzjm/T+bKXxvGamsXr2QNx9gmjYftg/fj9zsFXIWfXNKDKylJy6epMZq7bg6+FCjXIlcyWpUoCEN2vnFtwr/3r1Wf1xKTB3uwqFFZT3l/JWPQuW7FURlwwZSlh3WE27WhbUDpOi1cKle1oex5t3bog5WFpa8uVXE5j103S6d+us67GsWo3qNWqaNZbrZ7ZyYF3ub+rN/nNf+VjOHoF0G72R7KxUbl3YzZ+rvqDz0OX6RqPw6q6c3MKulbmfU9eh/7zs27N6IrGPbtLz09yy7+aFfdyPOEHfsRsL2fPfZ/n6rew7coLZk79EnqeXvrhdOrGV7ctzP6fuI1799/TMzhWTiHl0kz6fG6+jzC3i7y38tTY3pvYD/vl378AfE4l/cpO3R+bGZGPnQps+P/HXuq85f3g5EomU0GrtcC9VQb/YnilV8JfQunrucdceefXxofGpsGivBrkMypaS8GYtKb8f0DUan2X93B0tl+7pCvPo81oCPCRUDpRw8NJ/q7IqVcqXX36eTXp6OoePHGX69Bl89900szUa36hmy4C3cy9OTF3waou2SCVwO1LJqp1JANx7lI2/lxUt6tqXaIPxn7Ku0RDVkwcFLpDz/5lY9Ma0itRgPHXqFIsXL2b16tUEBATQt29f1q5dW+RexalTpzJxouEiFBMmTCCo6deF7hca3tRgvob6afd7eko89k4e+u3pqfF4+hW8WuUzu1ZO4ubFA/T69HccXLzyva7MSmPVT/2xUtjSdcgcLMw8WdjJ3hYLqZT4FMNLjvHJqbg5Frz6nVQqxc9TN76lbGlf7j6OYfHW/SXWYLweqSUyz2pllk/bjrYKSMuzfoutAqITC68sNRr0V2CfJGjwcZVQJ0zKtpO6yv3OEy2zN6uwluvSKnNgdBdLrphxDr6DgyNSqZTERMOJ8UlJiTi7GF8swMnZOd9iA0lJiTg55/52gkNCmfXzPNLT01GpcnB0dGL0R8MJDjHf3NPACk3w9K+sf65W635TGanx2Drk/qYyUuNw8y182JGFpRVO7roVKD38KhLz8DIXDi2jyTuTsHVwR6POQZmZYtDLmJkWj41D8a2A+CLK6Djknob5kXu6kZOciiZLSXZcIhqVCrmH63NpXFFGma+nNLhKUz4IzC37VKrcss/O0bDs8yj14rJvz6pJ3Lp0gB6jf8fBObfsu3/9BIlxD/hxVE2D9BvnDadUcA16jF7+DyMxztHeHguplIRkwyviCUkpuD7XM/+8lZu2s2LDNmZO/JzggOLr6TAmNLwJvoG5v6e8n5NBHZUSh5ffi4fx7VzxtI76zHgdVRzKVGyKV+k89a4qTxnhmLeMiMfd98XfvQN/TOLu1QN0Gf479k6GMZUOe4M+4/4kMy0BqdQSuY0DC8bVx8GtrYmiyXXzsZbHCbn1z7OFbWwVhr2MtnIJ0UkvX09FJWrxdpFQM0TCrjNa0p4eK87wq01cihbHgqfc/SMODg5IpVKSEpMMticlJRVYR70smUyGj48PACEhIdy4eYNNmzczcrh5FjD7+0oGN+/ndjA8W9jG0d6CpDy9jI72Ftx7VPCKpokpaiKjcwy2RUbnULuymT6El6TJSEWrViO1MzzHk9o7okk1vuCXnswKeZU6pO/dYHjMp/tJ7QyPIbVzRPWkeBcoEl4fRWow1qlTB39/f0aMGEH16rrbNhw5ciRfug4dOhR6nDFjxjBq1CiDbXK5nLUnC39/ucIOuSJ3uKZWq8XO0Z17Ecfx8tdVvsrMNB7duUD1Rt0LPI5Wq2X3qslcP7eX9z9ZjrO7X740ysw0Vs7sh4WlFd2G/oqlrPDeT1OQWVoSFuDL6Ss3aVK9IgAajYbTV2/xTvP6L30crUZLTjHPJ80rWwXZzw2zSc3UUsZLSnSirqFnJdMtXvP3jaJd1ZVIwEKa/2pz5tP6JMBTgq0CrkeabzUBmUxGcHAoFy+co2493eei0Wi4cP4c7dp3NLpPWFh5Lpw/R8e3Ouu3nT93lrCw/CeNtra6MUyPH0Vy69YNevTqbYYodKwUdlg995uysXcn8uZx3J82ELOz0oh+cJGK9Qv+TRmj1Wr0DVD3UhWQWsh4eOM4wVVaAZAYc4fUxMd4lQ43TTAmkHTiPO5tDO8j69asHoknzgOgzckh+ewV3JrWzb09h0SCa5O63P/ld7Ply1jZZ+ugK/s8/XLLvsd3L1C1YeFl397Vk7lxfi/vjVqOk5th2Ven1QCq1O9qsG3h5PY06zqG4MpNTBiRIZnMktCgAM5cvErD2rol+jUaDWcuXaFzmxYF7rdi4zaW/bGF6eM/Iyy45OdtF1RH3b32fB11keqNC/+cdq2czPVzf/L+p8twdi/eW+vkZbSMcHDn4c3juJd6GlNWGtH3L1C5kDJCq9VycP1kbl/aS5dhy3F0zV/vPmNtp7uQ9vDGcTLS4ilToamJosllrJ5Ky9T1/MU8bSBaWYKPK5y9XbRjS8htgCan61ZSdX3umq+LvYQ7UebpXZTJZIQEB3P+wnnq1asL6H5P58+fp337N036XlqNVj8H3xyylFqylIbnM4kpKiqFKPS3vLCWSwj2l7PnWMH36bp+Lwsfd8OL/j7ulsQmlty5EgBqNarH97AKqkD21bO6bRIJVkHlyTxe+GJtikq1kFhYknX+mMF2TWIs6pQkZEHlUT15oDukXIHMrwyZJwu/rdRr5TVdfKakFHlI6oMHD5g8eXKBr7/MfRjlcvnTIaj/jEQioVazXhzZ/isuHqVxcivFgc0/Ye/kQdmqufNvfp/em7JVW1CzaU8Adq2cyOWT23hn6C9YKWz180zk1vbIrBS6xuKPH5CTnUnHft+jzEpDmaWrWWzsXZBKzXfbhp6tGzFh/mrKBZaiYhl/Vu45TKYymw4NdVf8x89bhbuzI8Pf0V1xXbR1H+UD/Sjl4UpOjoojF6+x/dgZxvTOXbExOS2DqPhEYpN0Y+TvP9HF6+poj5tT8dy36+Q1DQ0qSolP1ZKUpqVJFQtSMyDiYW6F+X4zCyIeajn9tBHZLFzKzcdaktO1yGVQKUBKgKeE3/flfr/Cy0iITYGMLC2l3CW0rmHBiWu580fM5a1OXfhxxncEh4QSGlqWzZs3kqXMonkLXWNoxg/TcHV1o3fffgB06NiJMZ+PZuOGddSoWZvDBw9w6+YNhg3/SH/MI4cP4ujohLu7B/fu3WX+vF+oXace1aoV3z2uJBIJVRr24u+9c3FyC8DexZeTu2Zh6+BBmYq5v6lNv/ahTMXmVG6g+00d2zad0uUaYu/sTXZWOjfObuPR7VN0GLAA0P22ytfuwtEt01DYOGKlsOPQxm/wCgjXL4xjDha2NtgG5/Y62QSWwqFKGNkJyWQ9fELZb0ah8PXkQt/PAbj/22pKD+lB2NRPebhkPW5N6uDdtQ2nO+TeuuDuzMVUWTSNpDOXST59kYARvbG0tebh0g353t9cJBIJNZv14thOXdnn6FaKw1t+ws7Jw2Du4aofexMa3oLqTXSf055VE7l6ehtdBhsv++wc3Y0udOPg4pOvcWlq73Zow/9m/UZYUCDlQsqwdttuMrOUtGuma8BP/mku7i7ODHpfN5f89w3bWLhqPRNGDcHbw434p70p1goFNta6SWcpqWlEx8UTl6AbDfDg0RMAXJwccX1ufpc5SCQSajXvxZHtc3HxDMDJzZcDm2Zh7+RBWJ46avkPfQir1lxfR+1cMYnLJ7fRbdgc5EY+J9DNj0xLjiMxRndCGBN5AyuFLY4u3ljbmS82iURCeMNenN7zK07upXFwKcWJHT9h6+hBmUq5MW2Y05ugyi2o8rSMOPDHRK6f2cab/X9BJrcl/em8RLnCHsunMV09uR5nzyCs7VyIuneOQxumULVRH4N7NZrT6Zta6pWXkJCmJTldd9/E1Ezdit3PdG8k5cYjLWdu6bY1qiThzhMtKRm6C6Hl/SWU9oDVh3L3OXldyxsVdD2VMUm6aRuu9rDxmPmGo3bu1IkfZswgJCSEsqGhbNy8mSxlFi1b6C7AfP/DdFxdXfmgbx9At1DOgwe675JKpSIuPp7bt29jbW2t71FctHgJNWvUwN3DncyMTP46cICLly7xv0LOCc1hx6EUOjd35ElcDjHxKt5t40xiiorTl3NvOzNukCenLmWw+6iuEbn9UAqTh3vTqZkjx86nE+wvp1kde377I3c+uq21FDdnS1yezoX08dCdIielqvPNmTSljMO7cOj6IapHd8l5eAeb+i2RWMnJPKNbIdq+6wA0KYmk715nsJ+iRiOUV8+izcg/ETbz6G5sm3ZEHR+NOiEWuxZd0KQmoXzWKBWEIipSg1HzEvdCysjIfz8vc6rb+kOyszPZvny87qbIIdXpPnKBQY9gYuxDMtJyhw+eObAKgOU/vG9wrPZ9plKlfmeePLjCo7u62wH8Mtbw6vawqftwcjPf1d6WdcJJTE1j7obdxCenEurvw+xP++PqqLsfT1R8osF8jixlNt8u3UBMQhJyKxkB3h58M/A9Wj5d1RHg4LkrTJy/Rv98zNOekAFvtWBg51ZmiyWvo1c1yCyhfW0LFFbwIEbL7/tVBsuKu9hLsFHkVqC2Cgmd6kmxs9YNNY1O1PL7PrXBVVlXBwnNqkqxtoKkdDh8WcOJa+a/Z1eDRo1JTklixfKlupsilwli4qQp+oVwYmNjkOTpCS1XvgKffDaG35ctYdmSxfj4+jJ23NeUDgjUp0lISGDh/Hm6oa3OLjRt1oJu3XuYPZbnVWvaH1V2Jn+tG48yMwXvwOq0HzDf4DeVHPeAzPTc31RmWgJ/rvyc9JRY5Nb2uHqXpcOABfiXze0Zf6PjGCQSKTuXjEStzsa/7Bs06jLerLE4Vq9I3X25wyjL//AlAA+XbeBivzHIvd2x9stdWCDzXiSnOwyk/PQxBAzvRVZkFJcGfkXc3tyRFE/W7cTK3YXQCSOQe7mTcuEap97sT/ZzC+GYW+2WH5KtzGTXCl3ZVyq4Ot2GF172nTukK/tWzjAs+9r2mkrlep0pSc3eqENSSioLVq8nITGZ4EB/po//FBcn3QIO0bHxSPOUfZt27SNHpeKr72YZHKdvt070e1cXy5HTZ5kye77+tQnT5+RLY271WvcnR5nJ9mW6z8k/pDrvfTT/uc/pARmp+euoZd/3MjhWh75TqFK/89M0qzm0dY7+taXf9cyXxlyqN/sQVXYm+9foygifMtXpOHDBc2XEQzLzfPcuHdXFtOFnw+9e8+5TKV9bl9/EmLsc2zaDrIxkHFx8qdFiEFUb9zFrLHmdiNAis4A21aUorOBhHKw9pDGop5zswDrP9W5bObxZW4qdQldPxSTD6kMa7uWZanf6phYLC2gerjtuTJIuTZIZp841atSQ5JRkli///WkdVYZvJk3S11ExsbEGdVR8QgJDh4/QP1+/fgPr12+gUqVKfD/tWwCSkpP4fvp0EhMSsLG1JTAwgP9Nnky1asW3QjTA5r9SkFtJGfi2GzbWUiLuZjHlt2hyVLnnBp6uMhxscy/u336YzQ+LY3ivnTNdWjgRk5DD0s0JHDmb+yHUqGjD0HdzpyR8/L5uyPW63Ums25NktniUl06SZmePbfPOSO0dUT15QNLi79E+XQjHwsmV5xczsHDzwiqwLIkLpxk9Zsah7Uis5Nh36otUYUPO/ZskLf4BVObrDRZebxKt1jRLaiiVSubMmcN3331HVFTUKx1jufHbbf1nvd8Q0k5uLelsmJRd7fZM/P31KnAm9JRx4/aDks6GSYUG+TN7+39rMYUXGd5OwnZZ2ZLOhsm1y7nO4uK71Wax6NsEYq+eenHC/xD38rX4/fDr9Zvq2UDCnJ0lnQvTGtoGpq41X29QSRjzjgV3b7/c7WX+KwKDgnln9L2SzobJrZ0eQMyYXi9O+B/iMXVZSWfhlaT+vavE3tu+RusSe29zKdISQkqlkjFjxlCjRg3q1avHpk2bAFi0aBGBgYH8+OOPfPzxx+bIpyAIgiAIgiAIglDMijQkdfz48cybN4/mzZtz7NgxunbtSt++fTlx4gQzZsyga9euWFiYb36fIAiCIAiCIAhCYbRi0RuTKlKDcd26dSxbtowOHTpw+fJlKleujEql4sKFC2a5T5IgCIIgCIIgCIJQcoo0JDUyMlJ/O42KFSsil8v5+OOPRWNREARBEARBEAThNVSkHka1Wo2VlVXuzpaW2NnZFbKHIAiCIAiCIAhCMZIUqU9MeIEiNRi1Wi19+vTR30MxKyuLQYMG6W80/syGDcV3PzJBEARBEARBEATBPIrUYOzdu7fB8549e5o0M4IgCIIgCIIgCP+EFjFdzpSK1GBcvHixufIhCIIgCIIgCIIg/MsUqcEoCIIgCIIgCILwb6YVcxhNSvw1BUEQBEEQBEEQBKNEg1EQBEEQBEEQBEEwSgxJFQRBEARBEATh9SGGpJqU+GsKgiAIgiAIgiAIRokeRkEQBEEQBEEQXhtaibithimJHkZBEARBEARBEATBKNFgFARBEARBEARBEIwSQ1IFQRAEQRAEQXhtiPswmpZEq9VqSzoTgiAIgiAIgiAIppBw8XCJvbdL5QYl9t7m8q/qYcw4tLaks2BSNg3fode4JyWdDZNaNtmbxP8NLulsmJTz2F+5fvthSWfDpMoG+RE5/J2SzoZJlZq9lsV/lXQuTK9vE9guK1vS2TCpdjnXadT5WElnw6QObqhH1qZZJZ0Nk1K8NYLMlVNLOhsmZf3eGJLO7S/pbJiUU9WmzN1d0rkwrUGtIGXmqJLOhsk5fDSDyatUJZ0NkxrX/V/VVHh5YtEbkxL9tYIgCIIgCIIgCIJR/9HLBoIgCIIgCIIgCPmJOYymJf6agiAIgiAIgiAIglGiwSgIgiAIgiAIgiAYJYakCoIgCIIgCILw2tAiFr0xJdHDKAiCIAiCIAiCIBglehgFQRAEQRAEQXhtiEVvTEv8NQVBEARBEARBEASjRINREARBEARBEAShhMyZM4eAgAAUCgW1a9fm1KlTBaadP38+DRo0wNnZGWdnZ5o3b15oelN46QZj27ZtSU5O1j//9ttvSUpK0j+Pj4+nfPnyJs2cIAiCIAiCIAhCkUgkJfcoojVr1jBq1CgmTJjA2bNnqVKlCq1atSImJsZo+gMHDtC9e3f++usvjh8/jp+fHy1btuTRo0f/9K9WoJduMO7evRulUql/PmXKFBISEvTPVSoV169fN23uBEEQBEEQBEEQXlMzZszgww8/pG/fvpQvX565c+diY2PDokWLjKZfsWIFQ4YMITw8nLCwMBYsWIBGo2Hfvn1my+NLNxi1Wm2hzwVBEARBEARBEEqaFmmJPYoiOzubM2fO0Lx5c/02qVRK8+bNOX78+EsdIyMjg5ycHFxcXIr03kUhVkkVBEEQBEEQBEEwAaVSaTAqE0AulyOXy/OljYuLQ61W4+npabDd09OTiIiIl3q/zz//HB8fH4NGp6m9dDNYIpEgeW5c7vPPBUEQBEEQBEEQSpJWIimxx9SpU3F0dDR4TJ061Sxxfvvtt6xevZqNGzeiUCjM8h5QhB5GrVZLnz599K3jrKwsBg0ahK2tLUC+lnRxWfPXSZbuPkJ8chqhfl583r0dFQNLGU277+wVFu44xMOYBFRqNf4errzfsj5v1g3Xpxm/aANbj58z2K9ehWDmfNTbnGHk07mpHY1r2GCjkHLzQTZLtiQTnaAuMH2nJnZ0ampvsO1xrIovZsUC4OZkwYzRHkb3nb06kdNXskyXeSPk1Rshr9MCqZ0D6uhIMvasQf34foHpJXJrFI07YhUWjkRhgyY5gYy961DdvpL/2HVbYtO0E1mn9pO5d505wzCwfetmNq5fS2JiAoGBQQwYPIzQsmEFpj9y+CArli8hJjoKHx9fen/wITVq1ta/npiYyNLF8zl/9gxp6WlUqFiJgYOG4eNr/PtsDrYNWmHfrD0WDk7kPLpP4h+LyLl/22ha9xETkIdUyLc988pZ4ud+C4BDm65YV6+HhZMrqFVkP7xDytbVZN+/ZdY4nqfVajm8dRYXjqxDmZmCb1A1WnX/GhfPgAL3Ob5rHtfP7SEh6g6WVgp8y1SlcadPcPUqY/T4637+kDtXDtN50BxCw813lc/ljRqUGd0Px2oVUfh48HeXIURvKXzegkvDWpT/4QvsyoeQ9fAJt6b+SuSyjQZpSg9+jzKj+iH3ciflYgRXPiegPKoAAQAASURBVJpM8ulLZoujIB+868ebLTyxs7HgUkQqM367w6MnBZdPq+dWw9sjfyW5cecTZs6/C8DMSRWoWtHR4PXNu6OYMe+OaTNvLH/HLrH00DniUjMI9Xbli44NqeTn+cL9dp6/yRer9tCkfCAze7c1eO1OdAIzdx7nzJ3HqDQagjxdmN6zNd7O9gUczbRWn7rG0mOXiU/LJNTLhc/b1KaSr7vRtJvP32TC5qMG26wspJz6qpf++b5r91n393WuPYknOVPJ6oHtCfNyNWsMz1u3+wArtu4lPjmFEP9SjO7bjQrBAUbTbtp3hB2HTnAn8jEAYYH+DH73rXzp7z56wpyVGzl79SZqjYZAX2++HTUALzfzDRt7nlar5fiOWVw6riv7fAKr0eydr3H2CChwn1N75nHr4h4Sou9gKVPgE1iVNzp8gounruxLjo9k0cRmRvdt13cmoVXbmCMUPVnl+shrNEFiY48m7jGZf21EE/2g4B3kChT12mIZXBmJ3AZNagLKg5tR3bv26sc0g0aVpFQNkqCQwcM4LTtPa0hIKzh99WAJ1UOkOOlOw4lNhkOXNdx+kjtlzFYBzcOllPGSYCWD+BQ4ckVDRKSYVmZOY8aMYdSoUQbbjPUuAri5uWFhYUF0dLTB9ujoaLy8vAp9nx9++IFvv/2WP//8k8qVK/+zTL/ASzcYe/c2bDD17NkzX5pevXrl22ZOu09fYvranYzt2YGKgaVY+edxhsxcyqbJI3FxsMuX3tHWhv5tGxHg7YbMwpLDF6/z9ZKNuNjbUq9iiD5dvYohTOzTSf/cyrJ4R+62a2BLizq2zN+QRGyimi7N7Pm0twtjZseSoyp4v8joHKYtyV2ISK3JLRDik9UMn2b4ZWxcw4a2b9hy8aZ5G/uyctWxbt6FjJ2rUD2+i6JWU+zeHUHK3K/RZqTm30Fqgd17I9BmpJK2/je0qUlIHV3RZmXkS2rhXRp5tQaooiPNGsPzDh/8i4Xz5zJk2EhCw8qxZdN6Joz7gl9/W4yTk3O+9NeuXuGHaf+jV59+1KxVh4MH9jNl8gR+nPUrpQMC0Wq1TJk8HgsLS8aOn4i1jS2bN/7BuC8/Y868hSgU1maPybpaXZw69SJxzXyy79/ErnE73IeMJWryR2jSUvKlj1vwAxKL3N+G1NYezy++J/Nc7pj7nJjHKNctQhUXjURmhX2TdrgN/YqoScPRpBn57M3k5J75nPlrOe16f4uTWykObfmJNbP78eGEHVjKjBfiD26colqjHngHVEKjUXNo0wzWzOpH/wnbsZLbGKQ9vW8pUDwjLixsbUi5eJ2HS9ZT4485L0xvHVCKmlvm8eC31Zzv9QmuTetSad43ZD2JJW7vEQC8u7ah3PdjuDx0AkmnLhA4oje1ty/kQIXWZMcmvOAdTKd7J186t/Nm6qybPIlR0q+7Pz+MK0/vkefIzjF+gjPws4tYSHP/9oH+Nsz4ugIHjsUbpNu6J4pFqx/qn2cpNeYJIo9dF27yw7YjfNWpMZX8PVlx5AKDF25l8yfv4WpnU+B+jxJSmLH9KNUCvfO99jA+mT5zN9CpZnkGt6iFncKK29EJWMkszBhJrt2X7zJ9z2nGtqtLpVLurDhxlSG/72XzsE642Bovp+zkMjYNy61TJc/9VjKzVVT196BlhQAmbT1m1vwbs/fY3/y0fD2f9+9OheBAVu/Yz8ips1g742tcHB3ypT979QYt69ekcmgZrGQylm3Zw4gps1j1w3g8XJwAiIyKZcCE6XRoUo8P326PrbWCO5GPsZIV7/nE33/O5/yh5bTq8S0OrqU4tv0nNvzaj95fFlz2Rd46RZUGPfD0r4RWo+bo1hls+KUfvb/cjkxug72zNwO+OWKwz6Wja/h7/0ICyjc0azyWoeEoGnYka/861FEPsKraENtOA0hb+i3aTCOtK6kFtp0GoclMI3PbEjTpyUjtXdAqM1/9mGZQr5yEWqESNp/QkJSupXElKe81seDX7WrUBRRVKRmw/7yGhFQtSKBKoJRuDaTM36Um9mmV3bGOFIWVhDWH1GQooWKAhC71pSzcoyYqsVhC+3+poOGnxlhZWVG9enX27dvHW2+9BaBfwGbYsGEF7vfdd9/xv//9j927d1OjRg1TZLtQL11yLV682Jz5eCW/7z1G5wY16Fi/GgBje7bn8KXrbDp6lg/a5C+0apQNNHj+XvO6bD1+jnO37hs0GK0sLXBzLJ4rtca0qmvLloNpnI3QNeTmrU9i9ueeVCun4OSlgq+0qzWQnGa8ZNFq879Wo7yCU5ezUGab90qTonYzlOePkn1R15DI2LEKx+BKWFWpi/L4nnzprcLrIbG2JXXp96DR5VmTbOSkVSbHtmNfMravQPGGea9oPm/zxvW0bN2W5i1bAzBk2Ef8ffokf+7ZxdvvdM+XfuvmDVSrXpPOb3cDoGevvpw/d4btWzczZPhHPH70iOsR1/j51wX4lw4AYPDQkfTu8Q6HDvxFy9Zt8x3T1OybvEn68X1knDwAQNKa+VhXqIZt3Sak7t2cL702I5283xyb6vXRZivJPHdCvy3zjGHPQtLGZdjWa4bMpzTKG5fNEUb+fGq1nN63jHptBut7/t7s+x2zP63HjfN/Ur5mO6P7dRux0OB5u97fMuvTukQ9uIJ/SE399uiH1zj95yJ6j1nPz5+/Yb5AnordfYjY3YdeOn3pAe+SeTeSa59NAyAt4g4u9aoTOLKPvsEY+FFfHi78P/buO7yp6mHg+Dc7bbontKW0rAJl771RtgwRFRAR9xb3xI0DEReKIiJ7yEb23nvvWaB7z6SZ9/0j2BKaQotJ64/3fJ4nj+bmnNtzuDk39+wFxP+5GIDjz44jpHcXqj06hItf/+b6TJRiaL+qzPwrnp377U8yn39/niXTWtKhVQCbdmY4jZOT69iK9vBgf+KTDBw56djIUWiykZltdk/CSzFz+xEGt4plYMt6ALw3qAvbzlxh6f7TjOna3Gkcq83GO/PW80zPVhyOSyLP4Nig98OaPXSIqc4rfdoVHasW6Hvzadxm5p6TDG5Wh4FN7b+Z7/Vry/bz8Sw9fJ7HOpTewh10iwpyv8Y1AUjIrrhGpBvN/Xsj93VrT/8u9n/Ttx5/iF2Hj7Niy25G3XdvifAfv/CYw/t3nxrB5n2HOXDiDH06tQHg5/nLaNcklheGDy4KF1HFeS+su0iSxKGtM2h1zzPUbGS/9/Ua+RVT3m3HxWMbiGnu/N43+FnHe989w79gyrttSbl2kohaLZHLFeh8HPNy4dgG6jTtjVqjc09mrtM064z5xB7Mp/YDULjxL5TR9VHFtsJ0YFOJ8KrYVsi0nhgWfF/0PGHNzfpX53SHVjFytp+0cS7B/qu6bI+NsYMU1I2QcfKq82e084mOxzcfs9G8loLwIBlpufbPqgXJWHXARuL1R6gdJyVax0AVfxnJWXd3L6Mk+9/Zan7s2LGMGjWKFi1a0KpVKyZNmkRBQQGjR48G7B1y4eHhRcNav/zySz744APmzJlDVFQUycnJAHh5eeHlVbLDzBX+d/41b2K2WDh9JZHW9YqHh8nlclrXq8mxi9duEdNOkiT2nr5IXHI6zetEOXx24Gwc3cZ+wcD3JvHZrOVk55fs2XKXYH8Fft4KTl4sfkgwGCUuxZuoVU19y7hVAhV893oIE14J5un7/Qj0Lf3yRoUpqV5VxdaDbs6bXIGiaiSWyzdO3JUwXz6DMqLk0D4Ade1GWOIv4dnrQXxf+hKfJ95H265Xib1tPHs9iPnCCSxxZZsU7Cpms5kLF87RpEmzomNyuZzGTZpx5swpp3HOnDlF46bNHI41a96yKLzZbAJApS6+xnK5HJVKxalTFVCxUihQVatB4dkbhiBKEoVnj6OOqlOmU+jadkN/aBeSqZQea4UCXbse2PQFmBNKH47sajnp8RTkphFVr/gBW+vhTVh0YxIuHb5FTEdGg/1h1sOz+OHcbDKw/PdX6fngB3j5VuzDYFn5tWlC+ibHldbS1u/Av00TAGQqFb7NYknfeEPPjiSRvmkXfm2aVlg6q4ZqCPRXc/BodtGxAr2V0+fziI0pWwOeUimjZ6dgVm8quXdVz47BLJvekj8mNeGJ4ZFo1O79+TNbrJxOSKNN7eIh5XK5jDa1Ijh2NbnUeFM27Mffy4PBrUrua2yzSWw/c4XqQX48PXU5XT6exvAfF7LppPuH1gKYrVZOJ2bQukZxz6dcJqN1jaoci08rNZ7BZKH3pIXc++0CXp63kQup/52uDbPFwpnLV2nVsHg6gVwup2XDuhw/V7Z/10KjCavFis/1KTo2m41dh08QWTWUFz//nl5Pvs5j737J1v1H3JGFUuVkxKPPTSMypvjep/Hwpkr1xiTGlf3eZyq03/u0ns4bJlKuniAt4TQN2tz/7xJ8O3IF8pAILNfO3XBQwnL1HIqqUU6jKGs0wJJ0BW3XIXg98RG6Ea+jbtm9+HniDs7pan468PaQcTm5uAJnNENCBoQHlW3kikwGsZEyVEqITy8+z7V0ifqRMrTXHy1iI2UoFXAl9e6uLP6vGTZsGBMmTOCDDz6gSZMmHDlyhDVr1hQthHP16lWSkpKKwv/888+YTCbuv/9+qlatWvSaMGGC29JY5h7GpKQkfvzxRz777DMAOnTogF5fXNlQKBQsXbqU8PBw16fSiax8PVabrcTQ00AfL+KS00uNl6cv5N43vsZssSCXyXl7eD/a1K9V9Hm7BrXo1qwe4UH+xKdl8sOSDTz/3Qz+fPtJFHL31699vex/4+bewJwCG35epf/9i/Fmfl2cQ3K6BT9vOQO7evPu44G880M6hU56EDs38yQh1cyFa+5tcZd5eiGTK7AVOLb2SwW5KAKdz+OR+wWhjIrBdGIf+fN/Qu4fjGevB0GhoHD73wCo6rdAWaUaudO+cGv6ncnNzcFms+Hn7zj01M/Pn4RrzhsrsrOySgxV9fPzIyvL3uwXUS2S4OAQZvwxledeeAWNVsvypYtIT08jK9N5z4oryXU+yBQKbLnZDsdtedmoQsNuG19VvSaqsEgy5/xc4jNtbDMCRr+MTKXGlptN2k+fYiuouJ6E/Fz7g6zOx3FOlM47kILc0u8VN5JsNjYs/JyIms0IDi+uQG9cOJ7wmk3dOmfx39KEBmFMccynMSUdla83cq0Glb8vcqUSY2rGTWEy0MU4b9RxhwA/+xNNZo7jPSkr20yA/60by/7RsVUAXjpliQrjxu3pJKcZycg0USPKk6dGVicy3IP3v3Lf3sFZ+kKsNqnE0NNAb08upzmvMB26nMiS/adZ8PIwp59nFujRm8xM23KI5+9tzct92rLz7FXGzlzN1CcH0qKGe39/s/RGrJJE4E1DTwN1HsSl5ziNExXoy4f3tad2qD/5hWZm7D7Bo9NWsejZgYT6uLc3qiyyc/PtzxI3DT0N8PXhSkJKKbEc/TRnCUH+vrS8XunMys1DX2hkxvK1PP3AAJ5/eBC7j57izYm/Mvn9l2lWv2yNcP+W/vq9z9Pb8d7n6R2Ivhz3vi2LPyesRjOCwpyn+8SevwgIrUlYjWZOP3cVmYcOmVxRYiqLpM9DEeB8jQa5bwDyarUwnzmEftlvyP2C0HYdAnIFpr3r7uicruZ1vTgV3DSArKBQwus2a5iE+MLongqUCjBZYOF2G+k3PG4t2mljSHs5rw9RYrVJmK+HyaqYkbaVSqqgaSKu8vzzz5c6BHXLli0O7+Pi4tyfoJuUucI4efJksrKKf+SOHj3KY489VrTnx+rVq/n222/LVLstbbnZiqDTqpn3wbMYCk3sPXOJbxasISI4oGi4aq9WxUNqakdUoXZEFfq/8y0Hzl6mdb2aLk9P20ZaRg8obrX7ZtadtbzeOA/xWgpcjM9k4qshtGqgZdshg0NYlRLaNPJg2Zb/6B1DJkMqyEO/ajZIEtbkqxR6+6Ft25PC7X8j8/bHs+dQ8ud+D9ZbTOr8H6JUKnn7vQ/54btveHjYIHuPZdNmNG/R6n9iz1Ndm26YEq44XSDHeP4kKV+8jsLLB1277gQ+9gqpE95xOi/SFU7uXc6aOeOK3g99bsq/Pue6eR+RlnCeEa/PKTp2/uhGrpzZw+h3l9wiplCaHp2CePWp4nvqW5+dvkXosunTPYR9h7LIyHKsdK5YX/zgf+mqnoxME5M+bkBYqIbElMpZsO1mBUYT787fwLghXfEvZS7gP9PSu8ZGM7JjEwDqhgVz9EoyC/ecdHuF8U40rhZC42ohDu8H/7SEvw6c5blu7q1gVIQ/l61l/a4DTP7gFTRqFWDvCQbo1LwRD/W1Lw5TJ6oax89dZPGG7W6rMJ7ev5yN84vvfQOf+vf3vk0LPyIj6TwPvDTH6ecWUyFnD66k9b3P/uu/5RYyGZI+n8KNC0CSsKXGY9L5om7RFdPeklNiKkKD6jL6tizuAJi7tfQFDW8nPQ9+XWNFo4L6kXIGtJEzY6O1qNLYpZEcrUrGzE1WDEaJmAj7HMY/N1hJdd7GIwhOlbnCuHLlSr7//nuHYy+99BI1athboNu0acPYsWPLVGEcP348H330kcOxcePG8Ua3kkNwSuPv5YlCLicz17HSk5GbT6CTBW/+IZfLiQyxt7bFRFblclIa01ZtKzG/8R8RwQH4eXlyLTXTLRXGw2eMXIwvbulTKe0tIr5ecodeRl+dnCvJZa8c6QslktMthAaWvMQtYz3QqGTsPGJwEtO1JH0+ks2KXOfDjbdEmc6nRK/jP2z5Ofa5BjdUlKwZyci9fEGuQFk1ErmXD95j3i4+n1yBMrIWmhadyf7iBYe4rubj44tcLic7y7Fyn52dhV9AyQVvAPz8/cnOvjl8Nv7+xavl1apdh+9+nEJBQT4WiwVfXz9ee/l5atV2f2u0rSAXyWpF7uPncFzu7Yf1pl7Hm8nUGjybtyf37/lOP5dMRqzpKVjTUzDFnSf0/e/Qte1G3vqlrkn8TWo17sZj0Y2L3lss9uG+BbkZePkWP7gW5GUQElH6qrb/WDf3Yy4c38LwV2fh41+8YtmVs3vISr/Kt2NbOoRfMuUFImq1YPirM/9lTlzDmJKOJjTI4ZgmNAhzTh62QiOm9CxsFguakMCbwgRivMVojX9r575MTp8rvn+rVPZ7X4CviswbKnz+fiouXC647flCgzU0b+TH+1/dfoj66fP2vxte1cNtFUZ/Ty0KuYyMm6Y0ZOTpCfIuOZ/vWkYOiVl5vPjn30XHbNfvY83ensyy14ZTxdcLpVxOjRDHVTajQ/w5EpeEu/l7alDIZGQUOP52ZBQYCPIq28JcKoWcmKoBXMuqnPmKN/Pz8bI/S+Q4/h5l5uQS4FdywZsbzVqxnhnL1vLjuy9Ru3rx0GM/Hy8UCjnREY6LFkWFVeXoWfetEF2zYTeqRpW89+nzHO99+rwMgstw79u08GMundzCAy/Nwtvf+WqN546swWwqpF7Lgf8u8WUgGQqQbFZkno5D1GWe3qWOWpEK8pBsVodnAltWCnKdD8gVd3TOf+tcgkRCRvETkfJ63VGnhfwbehl12tvPM7TZKOotTM6yUTVATqsYOav22/D3glZ15Pzyt6VoEZyUbIlqwRItastZdcD9C38Jd48yVxjj4uKIji6uVPXs2bNoSw2AmJgYLl++XKZzlbbcrHVvyYU1SqNSKqlXPYy9py/Rtam9ommz2dh3+hLDurW+TexikiRhspReEUvJzCGnwECQr3smkRaaJApv2i4jO89K/Roarl6vIGo1MmpEqNm4v+zzDTVqGSEBSnYeLVkp7Nzcg0NnC8nTV8DNwmbFmnQVZVQM5nNHrx+UoYqKofDAFqdRLPGXUMe2xL7qpP1mqQgIwZaXDTYr5rgz5Pz6iUMcXb+RWDNSKNy9zq2VRQCVSkWtWnU4evQQbdq1B+zfvWNHDtO3/31O49StW59jRw5z38AhRceOHD5I3bolG0l0Ovt3LTEhngsXzjH8kUddn4mbWa2Yr11CW6cBhcfsE/+RydDUaUDB9jW3jOrRtA0ypRL9/u1l+lMymQyZUvVvU1wqjdYLjba4vEqShM4nmLgzuwmtZl98xGjIJ/HyUZp2KrlA0Y3x1s/7hHNH1vPw2Jn4BVVz+LzNvU/SuP1Qh2O/f9Kf7kPfplajri7M0b+TvecIwTctAhbUvR1Ze44AIJnN5Bw6SVC3tsXbc8hkBHZty5XJs9yWLkOhjYRkxzFYGVkmmjXy40Kc/V7n6aGgXm1vlq0pfc7fP3p3CyE718yeg7cfpVErWlf099xFpVRQLzyYvRfi6RZrb1i12ST2XojnwXYNS4SPDvbnr1cedDj209q9FBhNvDGgI1V8vVApFcRGhBB305DWK+nZFbKlhkqhoF5YIPsuJdGtbnXAXqnddymJB1vdvgIC9kV9LqRk0eGGuZ2VSaVUUjc6kv0nztK5ZRPAfj/ff+IsQ+/tUmq8mcvX8ceS1Xz3zgvUq1m9xDnr14jiSqLjkNarySlu3VJDrfVCfdO9z9MnmGvndhMSUXzvS75ylMYdbn3v2/zXJ1w4tp6hL8zEN7BaqWFP7llEjQbd8PSugK1CbFZsqfEoq9XGcvGfuf0ylNVqYzq6w2kUa+JlVHWbcePzhNwv+HrDtP3Zq7zn/LdMFjDdNMArzyARXUVGSrY9jWolhAfCwfPle56RyYoroP8snHzzGSSpxJIQd6X/pUVv/heUucJoNptJS0sjIsJ+k1+8eLHD51lZWcjLOMevtOVmy7v8yoie7fhg2mLqR4XTIDqcORt2YzCZilZNfe/3vwjx9+HFwfcA8PuqrcRGhRMRHIDJYmHH8fP8vecIbw/vb//7hUamrNhM92axBPl6cS0tk+/+Wke14ADaxdYuNR2utnZ3Afd18SIl01K0rUZ2npVDp4sfrt58NICDpwvZsNf+r/bgvd4cPmskI9uKn7ecwd28sUkSe445PpCFBCiIqa7mm5kVt+hA4d6N6AaMwpp0FUtiHNpW3UClKVo11bP/KGx52RRusTcYGA9uQ9uiMx73DMV4YAvygBC07XphPLDZfkKTEVtaosPfkMwmJENBiePuct+gIUya+BW1asdQp04My5ctptBYSPee9lVTv53wBQGBQYwa/TgA/e8bzDtvjmXJ4oW0bNmabVs3c+H8OZ574ZWic+7YvhVfX1+Cg0OIi7vM1CmTad2mHU2buX+5ZIC8zSsJGPEcpquXMF25gFeXPsg1Ggr2bAHAf+RzWLMzyV0x1yGerm03DMf2Y9M7/gLK1Bq87x1M4fEDWHOykHt549WxFwq/APSHHRdhcSeZTEbL7o+wa/XPBIRUxzcogu3Lv8PLL8Rh7uHcb0dRp0lPmne1bxm0bu5HnNq/kiHPTEat1ZGfY58PpPHwRqXW4uUb7HShG5+AsBKVS1dS6DzR1Yoseu8ZHYFP47qYMnMovJZEzKdj0YaHcnT0mwBc+XUe1Z8dTt3xr3Nt+iKCurah6tDe7B/wVNE5Lk/6g8bTviT74Aly9h8j6sVRKHUeXPtzcYm/704LVybxyP0RxCcZSE4x8thD1cjINLFjX/EqyRM/rM/2vZksWV1ciZTJ7BXGNZtTSyxBHxaqoUenYPYczCI3z0KNKE+eHx3NkZM5XLri3kW/RnZswvsLNhIbEUKDiBBm7TiKwWxhYAv7w/u78zcQ4qPjpd5t0aiU1L5p70FvD/vv5I3HR3Vuyhtz1tI8OoyWNcPZee4q207HMfXJgW7NS1Ge2sTy/tLt1A8LokF4ELP3nMJgtnBfk+urpi7ZToi3Jy/2sK8CO2XrERpGBBMZ4ENeoYk/d50gKaeAQc2KR07kGIwk5eSTlmdv4LxyfTxdkJfHLVdXdZWH+nbn45//pF6NSOrXimLeqk0UGo3069wWgA9/mk5wgB/PPTQQgBnL1vLrwpV8/MJowoIDyci2j+3z0GrwvL5x9oj+PXn3u6k0rVeb5rF12HPkFDsOHmfyB684TYM7yGQymnV+hL1rf8YvuDq+17fV0PmGFK2aCvDXj6Oo1agnTTrZ732bFn7E2YMrGfC4/d5XcH0upEbrjVJdPKkuO+0K8Rf3M+ipXyssT8ZDW/G45yGsKdfsW2A064xMpcZ8ah8A2nseQirIxbjT3lNvOrYLdeMOaLsMxHRkB3K/INQte2A6sr3M56wI+87a6BArJzPPRna+RJdGcvIMOOyXOKKrnDPxEgeuVyK7NZZzIdFGjh40SmgQJScqRMbsLfabYHouZORJ9GmpYMNhKwYTxETIqFFFxrytondRKJ8yVxhjYmLYtWsXTZs6XzVv+/bt1KlTMRO5/3Fvy4Zk5RXw87KNZOTmE1OtKj+99EjRkNTkzBzkN7QwFBrNfD57BalZuWhUKqKqBvHpmPu5t6W9tVcul3M+PoUVu4+Qpy8k2M+btvVr8ezA7hW6d9Lf2wvQqGSMHuCLp1bO+asmJszIdNiDMSRAgbdncd4CfBU8O9QPL085eQU2zl018fGUjBK9iJ2aeZKVa+PExYqbt2M+fRCDzgtt5372oakp8eTP+wHp+nAPuW+AQ6+glJdF3twf8Ow5FM0T72HLy8a4fzOFu9dWWJpvp2PnruTk5jBn5nSysrKoUaMmH348Hv/rC+GkpaUiu6EBpV79WF594x1mz/iDmdOnERYezjvvf0T1qOJe+6zMTKb99gvZ2Vn4+wfQtXtPhj1Ucr9TdzEc2k22lw8+fR9A4e2HOSGO9MmfY8uzPwwp/YNK9N4qQ6qiqVmPtB8/KXE+yWZDFRqGrtWryHXe2PR5mK5cJHXSOCzJFbtvZut7nsBkNLBm9gcU6nOJqNWcYS9MddiHLCvtGvr84oaUw9vsFeM5E0c6nKvPI+Np1G4wlcW3eQPabiwe7lp/wjsAXJuxmGNj3kZTNRiPasVD4Qxx8ewf8BT1v3mbqBceoTA+meNPvVe0pQZA0sLVqIMDqDPuRTRVgsk9epp9/R7HlOr+BZduNHdJAh4aOa89XRMvnZLjp3N5/ZNTDnswhlXR4uvj2EPdvJEvVYI1rNpYcnVUs0WieSNf7u9XFa1GQVq6kW27M5jxl/u/g70a1yarwMDkdXtJz9MTExbE5Mf6EXh9SGpydh7ycjb1d29Qg/cGdWba5kN8uXw7UcF+fDOiF82ib784lSvc2yCaLH0hP285THq+gZgqAUwe3pPA60NSk3LyHXovcg0mPlmxi/R8Az5aNfXCgvjzsT7UDPYrCrPl7FXGLSvegufNRVsBeKpzY57p4v6Venu2a0F2bj6/LlxJRnYudapHMOmtFwi8PiQ1JT3T4TotXr8Ns8XC2986bjnz+JC+PDG0HwBdWjXhzccf5s9la5g4fQGRYaGMH/skTerWoiK16PEEZpOBDfM+wGjIJaxGcwY/43jvy0m/huGGe9+xHfZ738IfHO999wwfT2zr4nvfiT2L8ParQvW67t9O6B+Wc0co9PBC07YXMk8fbOkJ6Jf+inS9wVLu44/thj41KT8b/dIpaDoNRDfiNaT8HExHtjlsl3G7c1aEXaclVEqJvi3laNVwNU1izhbHPRj9vWR4auCfPkNPDdzXRoGXh31V1ZRsidlbbEWrrdokmLfFSrcmcoZ1VqBWQlaefcuOC0n//bUR/i3p/0M3agWSSWVcUePrr7/miy++YPPmzTRq5LjX0tGjR+nevTtvvvkmr7/++h0nRr9twR3H/S/y7PQAj7zv/nklFWnGJ1XJ+uyZyk6GS/m/+zNny7AVy/+SmJrViH/hgcpOhktF/LCAPzZXdipcb3RX+FsVU9nJcKm+5rN0HlzxG7C709bF7Shc+v3tA/4P0Q58EcOc8ZWdDJfyePhtsg9XzN55FcWvaTd++e+0l7rE0/dC7qSxtw/4P8bn5Yl8MvfuWIzvH+8/VHEdJq6UcO747QO5SXidktMO/teV+Vvw8ssvs3LlSpo3b07Pnj2JibE/4Jw9e5b169fTpk0bXn75ZXelUxAEQRAEQRAE4bb+17bV+K8r84xQlUrF+vXr+eSTT0hMTGTKlClMmTKFhIQEPvnkEzZu3MjZs+7b00oQBEEQBEEQBEGoWOVaQkitVvPWW29x5MgR9Ho9er2e7du3ExAQQMeOHWncuPHtTyIIgiAIgiAIgiD8T7jjNWe3bdvGqFGjCAsLY8KECXTt2pU9e/a4Mm2CIAiCIAiCIAjlIsnklfa6G5VrJmtycjLTp0/n999/Jzc3lwceeACj0cjSpUupX7/kfnKCIAiCIAiCIAjC/64yV4P79+9PTEwMx44dY9KkSSQmJvLDDz+4M22CIAiCIAiCIAjlIiGrtNfdqMw9jKtXr+bFF1/kmWeeoXbtitvEXhAEQRAEQRAEQagcZe5h3LFjB3l5eTRv3pzWrVvz448/kp6e7s60CYIgCIIgCIIgCJWozBXGNm3a8Ntvv5GUlMRTTz3FvHnzCAsLw2azsX79evLy8tyZTkEQBEEQBEEQhNsSi964VrlzpdPpeOyxx9ixYwfHjx/n1Vdf5YsvviAkJIQBAwa4I42CIAiCIAiCIAhCJfhX1eCYmBi++uor4uPjmTt3rqvSJAiCIAiCIAiCcEfEojeu5ZJ+U4VCwcCBA1m+fLkrTicIgiAIgiAIgiD8B5RrH0ZBEARBEARBEIT/srt1LmFlEf+agiAIgiAIgiAIglOiwigIgiAIgiAIgiA4JYakCoIgCIIgCIJw17hbF5+pLKKHURAEQRAEQRAEQXBKJkmSVNmJEARBEARBEARBcIWLly5V2t+uWaNGpf1td/lPDUn9ZK6lspPgUu8/pCTjw8crOxkuFfjhVHoOP1jZyXCp9bObs+6oqbKT4VL3NFbTof/Wyk6GS+1Y0Zm0U/sqOxkuF1y/FZ0H76rsZLjU1sXt+FsVU9nJcKm+5rM8PzGnspPhUj+O9eXxz9IrOxkuNfXdIKZvqexUuNajXSDvwJrKToZLebfoddeVJ7CXqayjd9dvr3/jzpWdBOE/QAxJFQRBEARBEARBEJz6T/UwCoIgCIIgCIIg/BuSJBa9cSXRwygIgiAIgiAIgiA4JXoYBUEQBEEQBEG4a0iiT8ylxL+mIAiCIAiCIAiC4JToYRQEQRAEQRAE4a4hIeYwupLoYRQEQRAEQRAEQRCcEhVGQRAEQRAEQRAEwSkxJFUQBEEQBEEQhLuGGJLqWqKHURAEQRAEQRAEQXBK9DAKgiAIgiAIgnDXED2MriV6GAVBEARBEARBEASnylVhTE9P58qVKw7HTp48yejRo3nggQeYM2eOSxMnCIIgCIIgCIIgVJ5yVRhfeOEFvv/++6L3qampdOzYkf3792M0Gnn00UeZOXOmyxMpCIIgCIIgCIJQFhKySnvdjco1h3HPnj1Mnz696P2MGTMICAjgyJEjKJVKJkyYwE8//cTIkSNdnc5b6txQTtOaMrQquJYusXq/jcz80sM3ryWjeW05fjr7+7Qc2HbCxsUkqSiMTgs9msipUUWGWgUZubDjpI0z8VIpZ3UdTcuueLS/F7mXL5bka+hXz8WScLnU8DKtB57dBqGu1wyZhw5bTgYFa+ZjPn+8KIzc2w/PnvejqtUAmUqNNTOV/GV/YE28Uup5XW3UkKr07hqMl07ByXP5fD/tKgkpxlLDz5zUgCrBmhLHl69P5Yfp1wDo0zWIbu0CqBXtic5DwcAnjlCgt7otDzeTJIlVC35i18ZFGAryiK7bhGGPv09I1eqlxrlw6gAbl0/n6uVT5Gal8fhrk2jcqvu/Pq8rjRkeRf97quCtU3L8dC4TJp8nPslQaviFU1tTNVRb4vjivxOY+MsFqoRo+Ov3Nk7jvv/FSTbvTHdZ2p1ZtGo9c5euIjM7h5pR1Xjl8UeoX6em07DL121mzZYdXLoaD0BMzWieGj7UIfzW3ftZunYTZy/GkZufzx8TP6V2dMVcmxs99mA1+vUMxctTwfEzeUz89RIJSYWlhp/3SzOqhpS8TktWJzHpN/s9ZtLHsTRt4Ovw+bK1yUyccsm1ib9BQIcW1Hh1DL7NGqANC+HAkGdJWb7x1nE6taL+hLfwql+bwmtJXBj/M/EzljiEqf7Mw9QYOwZNlWByj53h5MufkLP/eClndJ++7TS0a6DGQyvjUoKV+RsNpGXbyhS3Z0sN93XUsvmQkUVbiq9tkK+cQZ211AhToFTIOB1nZuHmQvL07v+NArivkycdm2rx1Mi4EG9m1up8UrNKz9OAjp4M6OTpcCwp3cL7U7KL3o/sraNetBo/LzlGk8SFBDOLNulJzqiYe7okSWxf8T1Hti/EaMglomYz7n34QwJCo0qNs2v1FM4eXkdm8iWUai3hNZrSdfBrBFapURRm9awPiDu9i/ycVFQaTyJq/hPG+T3IVRas287MvzeRkZNL7chwXh81hAY1nd+nlmzaxd879nPxWhIA9aKr8eywfg7hM3Jy+WHuCvYcP0Oe3kCzujV5fdQQIquEuDUfzpS3TPVpq6FPW8d7X3KmlU+nFz8sKhUwuLOW5jEqe5m6YmH+RkOFlKm/1mxm1op1ZGbnUKt6BK8+9hCxtaKdhl26YTurt+3m0rVEAGJqRPLMQ4Mcwn/80x+s2rrbIV6bxrFMevcl92VCuKuVq8KYnJxMVFRU0ftNmzYxePBglEr7aQYMGMD48eNdmsDbaVdPRqs6MpbtsZFdINGloZyHuyr4+W8r1lLuHbl62HTERmaeBDJoHC1nWEc5v62xkpZrD3NfGzlatYz526zojdAgSsaQ9nJ+X2clOct9+VHHtkR37wMUrJyFJeES2jY98B7xMtk/vodUkFcygkKBz8ix2AryyFvwC7a8LOS+gUiF+qIgMq0nPmPewnz5LHmzv8NWkIciMATJoC95PjcZ1i+UgfeG8NWUOJJTTTw6NIzxb9VmzBsnMZud34yff/8M8hv6wKMiPPjqnTps3Vt8ATQaOfuP5bD/WA6PPxjh7myUsGHZNLaunsOI5z4lMCScv+f/yOTPnuLdictQqUtWdgGMRgPhUXVo020QUye87LLzusrwIdW4v184n006Q1JKIY8Pj2Lixw0Z8ex+TKVcqyfGHnK4VjWq65j0aWM270gDIDXdyICRuxziDOgVxsODIthzMNNteQHYuGMPP/4xh9eeHk39OjVZsGINYz/+irk/foW/n2+J8IdPnqZHx7Y0rFsbtUrF7CUrGfvRV8z8fjzBgQEAGIxGGtWrQ7f2rfly8u9uTX9pHhoUzuC+VRn//XmSUo2MeSiSCe/XZ9RLh0u9Tk+9cQyFvLj1MzrSk4kfxrJlV4ZDuBXrkpk271rR+0Jj2So3d0qh8yT32FmuTV9Ei79+um14j6gIWi6fwtVf53HkkdcI7NaWhlM+pTApjfT1OwCoOrQ39b5+mxPPjSN731GiXxxF679/Z0tsL0xp7v3O3ahHSzWdm2iYuVZPRo6Nfu20PDdYx6d/5mG5TT0oMlRB+0Zq4tMcA6qV8NwQTxLSbPzwVwEAfdtpeWqgJ9/MKcDdj7e92nrQvaWWaSvySc+2cl9nT155yJf3p2TdMk8JqRa+mZNT9N5209fqSrKFPSeMZOba0HnIGNDRk1ce8uGtn7KQKqAevGftbxzYNJN+j36BX1AE25Z/x/zvx/DEh6tQqpzfd6+e20fzLsOpGtUQm9XK1qUTmffdGJ748G/UGnsFuUpkLLGt+uMTUJVCfQ7bV/zAvEljeObzjcjlCrfkZd3uQ3w7ewlvP/YADWpGMXfNFl744mcWTXiXAF/vEuEPnr7AvW2b0eiRaDRqFX+u2MDzX/zMgi/fIiTAD0mSeG3i7ygVCr4Z+zg6Dy2zV2/h2c8ns/Crt/HQuvd36UZ3WqYS061F5QVKfv+GdNESG63i95V6DEaJB7p58Hh/T76dX4A7rd+1n+9mLOTNJ4YTWzuaeX9v5OXPvmP+pI8J8PUpEf7QqbP0bN+KRjE1UauUzFy2lpc+ncSciR8SEuBfFK5Nk1jef/bRovcq5f+vdS4l6e7s6ass5RqS6uPjQ3Z2dtH7ffv20bp166L3MpkMo7H0HiN3aBUjZ/tJG+cSJFKzYdkeG94eUDei9C/K+USJC0kSmfmQmQebj9kwWSA8qDhOtSAZ+8/ZSMyE7ALYcVKi0AxV/N37BdS27Ynx0HaMR3ZiTUuiYOUsMJvQNO3gNLymaQdkHjry5v2E5doFbNkZWK6cw5oSXxTGo0NvbDmZFCz7A0vCZWzZ6ZgvnsKWlebWvNxoUK9QZi9NZvfBHC5fM/Dlz5cJ9FPRvrlfqXFy8ixk5RS/2jT1JSG5kGOni1sEl6xJZf6KFE5fcO8N3RlJktiyahb3Dn6SRi27EV49hpHPf05OVhrH9m8qNV5s0470e/DFEr2K//a8rjJ0QDgzFlxhx94MLsYV8Om3ZwgM0NCxTVCpcbJzzWRmF7/atQwkPtHA4RP2h0ObDYfPM7PNdGoTyKYdaRgK3VsZmbd8Nf17dqFv905EVwvn9adHo9VoWLlxm9Pw4155lsG9e1A7ujrVI8J489nHsUk2Dhw7VRSmV5cOjB42iBaNY92a9lsZ2q8qM/+KZ+f+LC5d0fP59+cJDFDToVVAqXFyci0O16BtC3/ikwwcOZnrEK7QZHMIpze4t4cnbe02zo2bRMqyDWUKX/3JBzFcjuf0G1+Sf+YSVybPJnnRWqJferQoTPTLo7n2+wLi/1xM/umLHH92HFZ9IdUeHeKmXDjXtamGtXsLOX7RQmK6jRlr9Ph6yWhcS3XLeGoVPNrHg7nr9RgKHWtLNcKVBPrImbVWT2K6jcR0GzPX6IkMVVAn0j0VkBv1aOXByh0GjpwzEZ9qZdryfPy85TSNUd8ynlWC3AKp6JVvcMzXtsNGzl+zkJFj42qylaVb9QT6Kgjydf/6fJIksX/jDNr3eYY6TXoQElGXfqO/Ii87lXNHSv9ePvjS7zRqN5jgsNqEVqtLv0e/IDczkeQrJ4vCNO00jMg6LfELiqBKZCyd73uZ3KwkcjIS3Jaf2au3MLBrOwZ0bkONiCq8/dgDaDVqlm/d4zT8p889wtCeHYmJiiAqLJT3nngIyWZj38lzAFxNTuP4hTjeemwosTWrExUWytujh2I0m1m7+5Db8uHMnZYpmw3y9FLRq+CGcqVVQ9sGahZvNXDumpVrqTZmrTVQM1xJVFX3lqm5K9dzX/cO9OvanuiIMN58YjhatZqVm3c6Df/xi49z/71dqBNVjajwqrzz9CPYJIkDx884hFMrlQT6+Ra9fLx0bs2HcHcr1124TZs2fP/999hsNv766y/y8vLo1q1b0efnzp2jWrVqLk9kafx04O0h43JycaE3miEhw7HydysyGcRGylApIT69+DzX0iXqR8rQXv/9i42UoVTAlVQ3NnMqFCjDqmO6VPxgiiRhunQaVUQNp1HUMU2wxF9C1/dh/F+biO+zH+HRsY89Y9epYhpjSbyC19Cn8X99Ir5PfYCmWUf35eMmVYLVBPqrOHzDQ6neYOPMxQLq1y7bDUypkNG9QyBrt2bcPnAFyUiNJzc7nZhGxUMtPTy9iarVkMvnjv7nzlsWYaFaggI07D9S3ItboLdy6lwuDeqWbOl0RqmUcU/XUP7ekFxqmJiaXtSp6c3K9aWHcQWz2cK5i3EOFTu5XE6LRrGcPHuhTOcwmoxYrNb/1I9t1VANgf5qDh7NLjpWoLdy+nwesTElew+cUSpl9OwUzOpNqSU+69kxmGXTW/LHpCY8MTwSjfq/taC2X5smpG9yHG6Vtn4H/m2aACBTqfBtFkv6xht6tSWJ9E278GvTtMLSGegrw9dLzpmrlqJjhSaIS7be9iF0WDcPTlyycPZqycq6UgESOPSmWKwgSVAz3L29CEF+cvy85JyOMxUdMxglLiVYqBl+6wf2UH8FE170Z/yz/jx+nxcBPqV/r9QqaN9IS1qWlcxc9zYqAWSnx1OQm0ZUvXZFx7Qe3oRFNybh0uEyn6fQYB8J5KErOXoBwGTUc2zXYvyCIvDxr/LvEl0Ks8XCmcvXaN2gTtExuVxOqwZ1OHY+rkznKDSasFht+OrsvaRms/07rFEVX2O5XI5aqeTIWfcNV7/ZvylTwf5yPnvSmw8f82ZUbw/8vYufkyJD7UO7z95w3pQsG5m5NqLdWGE0WyycvXSVlg3rFR2Ty+W0bFiP4+fK9u9aaDRhtZT8jTp06hy9H3+VB156ny9/m01O3i3magnCbZTrl+WTTz6he/fuzJo1C4vFwjvvvIO/f3H397x58+jcubPLE1kaLw/7fwtumrJTUCjhVXKajoMQXxjdU4FSASYLLNxuI/2GRvZFO20MaS/n9SFKrDYJ8/UwWW4sbzJPL2RyBVK+Y2u/VJCLLMj5D4vCPwh5dF2Mx/aQO/s7FAEh6PoOB7kCw9YV18MEo2jZBcPudRi2/40yPBpd74fAasV4dJfT87pSgJ/9ByYrx+xwPCvHjL/frR8w/tGuhR9engrWbfvvVBhzs+1p8fYNdDju7RtIbvadz8lz13nLIsDf3kKSlX3Ttco2FX12O53aBOGlU7JqY+mVwX73VOHy1QJOnMktNYwr5OTlYbXZCPB1fHgL8PPhSkJimc4xecZ8gvz9K7U38WYBfvZrkXlzmco2l/k6dWwVgJdOWaLCuHF7OslpRjIyTdSI8uSpkdWJDPfg/a/OuibxLqAJDcKY4lgWjCnpqHy9kWs1qPx9kSuVGFMzbgqTgS7GeeObO/h42itEN8+Byiuw4aMrvVGzeYyKaqEKvprt/AcnLsmKyQz3ddSyfEchMuz/r5DLbnleV/DV2fOUW+BYicstsOHrVXoF8FKimWkrLKRkWvH1ktO/oydvPuLLB79mYzQV//t0aa7l/m46tGoZSekWJs7JKXV6iSsV5NpH3Oh8HO+7Op9ACnLKdt+VbDY2LPiciJrNCA6v4/DZwS2z2bx4AmajnoDQaB58+Q8UyrKV1fLKziu4ft9zbDwK8PEmLrFkA5EzP8xbTpC/D60axAAQFRZKlUB/fpy/gnfGDMNDo2b26i2kZGaTnu3e+/iN7rRMxSVZmbVGT0qWDV+dnN5tNbwyzIvP/szDaAYfnRyzRcJw0yC5XL0NH537Gsyyc/Pt18rPsUHW38+buMSkMp3jp9mLCArwdah0tm0SS5fWTQkLCSIhOY2f5y7llc+/57fP3kIh/281ALrL3br4TGUpV4WxUaNGnD59mp07d1KlShWH4agADz74IPXr17/teYxGY4mhqxqNBrh1K06D6jL6tiz+os/deufDpNLz4Nc1VjQqqB8pZ0AbOTM2WosqjV0aydGqZMzcZMVglIiJsM9h/HODldScW5+7Qslk2ApyKVgxAyQJa9IV5D5+eLS7t6jCiEyGJTEOw0b7ghDW5GsoQsLRtOjslgpjt3YBvDwmsuj9e1+XrSfnVnp3CWTf0RwybqrIVKT921cy79ePi94//fbt51r91/XsHMLrzxU/2Lzx8b9fEKRvzyrsPZhJRqbJ6edqtZwenUL5c37FLbh0p2YuWsHGHXv44ZN30Kjd83BXFj06BfHqU8ULZLz12el/fc4+3UPYdyiLjCzHMrVifUrR/1+6qicj08SkjxsQFqoh8RaLVAnQoq6Kh3p4FL3/eWn5h8r7eckY0kXLj4sKSp2PlW+Q+H2lnmHdtXRu6oMkwcEzZq6mWF0+1691rIaRfbyK3n8//85+AE9cLP6exadauZSQy5fP+9OynpodR4u/V3tPGDl1yYSvl5x723jw9GAfxv+Zfdv5nuVOz97lrJk9ruj9A89P+dfnXDv3I9ITzzPi9ZJbjMW2HkB0vfbk56Sxd/3vLP31ZUa+MbfUuZGVafry9azbfZgp7z2PRm1v1FUqFXz9yhg++XUu3Z58G8X1Hst2jevhzkmzrihTAKfiinsOE9NtxCVb+PhxH5rFqNh9ovKeK/6tGUtXs2Hnfn768LWiawXQs32rov+vFRlBreoRDHnhXQ6dPOtQsRSEsir32JWgoCDuu+8+p5/17du3TOcYP348H330kcOxcePGoYh575bxziVIJNywWpryet1Rp4X8G3oZdVoZyVm3voPZbBT1FiZn2agaIKdVjJxV+234e0GrOnJ++dtStAhOSrZEtWCJFrXlrDrgnuZOSZ+PZLMi83JsaZLpfJDynf9I2/JykGzXxyJdZ01LQu7tBwoFWK3Y8nKwpjm2VFnTktDUa+byPADsPpTNmYvFN3WV0t7K4++rIjO7+Kbt76vi4pXbL7wTEqSmaQMfPpp00fWJLYeGLboSVbtR0XuL2V4hysvJwNc/uOh4Xk4G4VF17/jv+PgFuuW8zuzYl8GpcweK3qtV9kLl76ciI6u4wufvp+bCpdt3r4cGa2jR2J93x58sNUzX9kFoNXLWbEopNYyr+Hp7o5DLycxxLD+Z2bkE+vndMu6cpX8ze/FKJn30JrWiIm8Z1t127svk9Lnif3+Vyl6mAnxVZN5Q4fP3U3Hh8u0fqEKDNTRv5Mf7X525bdjT5+1/N7yqx3+mwmhMSUcT6jinVhMahDknD1uhEVN6FjaLBU1I4E1hAjEmu6+X/vhFM3HJN/xGXW8D9faUkVtQfI/21smJT3VeA4oMVeCjk/PmiOJKmkIuo2aEgk5N1Lz8XS6SBGeuWPhoWj46rQybZO8Z+fwpbw7muPb36ch5E5enFg9RVyrs3z0fnZyc/OI8+OjkXEuxlIhfGoNRIiXTSoi/osRxg1EiNcvGpYQ8vn81kGYxavadct4AdadqN+5GWHTjovdWi/38BbkZePkWr/pZkJtBaLXb33fXzv2YC8e3MOK1WU6Hmmo9vNF6eBMQGkV4jcZ8+0orzh5eT2yrfv8+Mzfx89Zdv+85LpSXmZtHoJMFb2408+9NTF+xkclvP0vtyHCHz+pFV2PO+DfI1xswW6z4+3gx6oOJ1I9231QkV5QpZwxGSM2yEuxX3GOuUsrw0ODQy+jjKSe3wH0VSj8fL/u1uqmXNis7j0Ani7LdaPbydcxYuoYf3n+F2tVvvehfeGgwft5exCen/r+pMIoeRtcqV4Xxxj0Yb+XFF1+85edvv/02Y8eOdTim0Wj4avGtz2uygOmmZ9Y8g0R0FRkp2fYbh1oJ4YFw8Hz5mrxksuIKqOr6DenmM0iSw9RA17NasSReQRVdD/OZI0UJU9WoS+G+zU6jmK9dQNOwtT1h1yuNisBQbHnZYLXfPC3XLqAIDHWIpwgMxZrjnuGdhkIbhkLHB8uMLDNNY725eMW+NYOnh5y6NXWs2HD7hXfu7RRIdo6FvYcrt2tX66FD61E8R0CSJHz8gjh7fC8R1ytyBn0+cReO0+GeYXf8dwJDItxyXmcMBisJNy1okp5ppEVj/6KKh6eHgvp1fFi66vZDOPv2qEJWjond+0v/bvXrWZUd+zLIznV/q65KpaROzSgOHjtFp9YtALDZbBw8fpLBvXuWGm/2kpXM+Gs533zwBnVrVdwQxtIYCm0kJDuOvc/IMtGskR8X4uyNLp4eCurV9mbZmtvPC+3dLYTsXDN7Dt5+yeda0bqiv/dfkb3nCMG9OzkcC+rejqw9RwCQzGZyDp0kqFvb4u05ZDICu7blyuRZbkuX0QzGm5b2z8m3EROpJCHN/u+nVUNUFQU7jjr/9zx71cJnfzo+6I+414OUTBvr9xtL9CD+s3BHnWoKvDxlHL9Y9kpbWRhNEqkmxz+anW+jXpSaayn2+7lWLaNGuJIth0rfeudmGhWE+CvYc7z0RgiZDJDZ59u6mkbrhUZbXCmXJAmdTzBxZ3YTWs3+QG005JN4+SjNOj9U6nkkSWLdvE84d2Q9w8fOxC/o9pUnSbLH+6eS6moqpZK60dXYd/IcXVrYGzltNhv7T5zjgXtKX7/gzxUbmbZsHT+++Qz1a5TeSOblae/xu5qcyulLV3nm/j6uzcANXFGmnFGr7PNx9522f7evplixWCViIpUcOW8vQyH+cgJ85FxOct+iXyqlkpgakew/cYbOrezzq+3X6jRDe3UtNd7MZWuYvngV3737MvVqRt3276RmZJGTX0Cg/60roYJQmnJVGL/99tvbhpHJZLetMGo0mutDUG9W/h+6fWdtdIiVk5lnIztfoksjOXkGHPZLHNFVzpl4iQPXK5HdGsu5kGgjRw8aJTSIkhMVImP2FvtNKT0XMvIk+rRUsOGwFYMJYiJk1KgiY95W906mKNy9Hq9Bj2FNvIIl4TLaNj2QqTQYD9tXy/Ia9Bi23Gz0G+21a+P+LWhbdcOz14MU7tuEIiAEj459KdxbvIeZYfd6fMe8hUfHPhhPHkAZHoW2eSfyV8xwa15utGRNCg8PrEpCspGkNCOP3h9ORraZnQezi8J89XZtdh7IZtn64kqkTAb3dg5k/faMEktgA/j7KgnwUxEeav8+RVfzwFBoJTXdRF6Be1d2lMlkdOkzgrWLpxBSNZLAkHBWzvsRX/9gGrUsXgzqh48fp1GrbnTu9TAAxkI9aclXiz7PSE0gPu4Mnl6+BARVLfN53WXh8gRGDYvkWqLBvq3GiCgyMo1s31PcMzPp00Zs253O4r+LK5EyGfTpUYU1m1JKnXMUXlVL41hfXv+o4vbCe3BAbz77/lfq1oymXu0aLFi5FkOhkb7d7RWOT777heAAf54eaa+Mz1q8kt/nLmLc2GepGhJERlY2AB5aLZ4e9snRuXn5pKRnkJ5pr3BdTbD34Af4+RLo71ch+Vq4MolH7o8gPslAcoqRxx6qRkamiR37ireMmPhhfbbvzWTJ6uJKpExmrzCu2Zxa4jqFhWro0SmYPQezyM2zUCPKk+dHR3PkZA6XyjAa4E4pdJ7oahU/oHpGR+DTuC6mzBwKryUR8+lYtOGhHB39JgBXfp1H9WeHU3f861ybvoigrm2oOrQ3+wc8VXSOy5P+oPG0L8k+eIKc/ceIenEUSp0H1/68Tcuki20+bKRXay1pWTYycm30baclJ1/i6IXiBpMX7tdx9IKZbUdMGM2QlOF4YUxme8XwxuNtYlUkZ9rI10tEhym4v4uWzQdNt9wL0VU27DPQt70HKZlW0rOtDOzsSXaejcNnix/YX33Yh0PnTGw+YG/oGNrdk6PnTWTk2PDzknNfJ09sNth7yl5hDPKT07K+hlOXTOTpJfy95fRu54HZLHH8gvsbK2QyGS27P8KuVT8TEFId36AIti37Dm+/EOo06VEUbs7EUdRp2pMWXUcA9mGop/at5P5nJ6PW6sjPsf9+aTy8Uam1ZKVd4/SBVUTXb4+ndwB5WcnsXvMrSrWWmg3ct+bD8N5d+HDKbOpHRxJbM5I5a7ZiMJro39k+leiDn2cR4u/L8w/2B2D6ig1M+WsVnz73CFWDA4rmJXpqNXhe3zJjw97D+Hl7USXInwtXk/hm5mI6t2hIm0auHflyO+UtUwCDOmk5fslMZq59DmPfdhpsNvtQbrAvnLP7hInBnT0oKNRTaJQY2s2DS4kW4txYYQR4qF9PPvnpD+rVqE79WtHMX7WBQqOJvl3aA/DRj9MIDvDj2YcHAzBj6Rp+W7Ccj14cQ9WQQDKy7Y3pHloNnlot+sJCfl+4kq6tmxHg50NCSho/zlpERJVg2vyH5uK7m+hhdK1yVRgvXy598/jKsuu0hEop0belHK0arqZJzNniuAejv5cMTw3802foqYH72ijw8rC3XqVkS8zeYitabdUmwbwtVro1kTOsswK1ErLy7Ft2XEhy72ZQppP70eu88Oh6H3IvHyzJ18ibNQmpwH7zlvsGIt3QxGzLzSJv5rd49hqG3zMfYsvNonDvBgw7VheFsSbGkTd/Mp7dB+PRuT/WrHQK1szDdHyvW/Nyo/krU9Bq5Lw8pjpengpOnMvn7S/PO+zBWDVUg4+341eyWQNvQoM0rNnqfBhZv+7BPDIkrOj9tx/YJ+h/PSWuQhbI6XHfY5iMBuZO+QiDPo8adZvy7Du/OOyVmJ5yjYLc7KL3Vy+e5PuPHit6v2TG1wC06jyAkc99VubzusvsRdfQahW88XwdvHRKjp/K4dVxxx329guv4oGfj+OCRS2a+FMlRMvft1j5tG+PqqRlGNl32I2bmd6ke4c2ZOfmMXXeIjKzcqgVHck3H7xOwPXhPilpGchvGDqwdM1GzBYL733lOKJi9LBBjHnQ/oO9Y/8hPv/ht6LPxn3zU4kw7jZ3SQIeGjmvPV3Tfp1O5/L6J6ccrlNYFS2+N12n5o18qRKsYdXGkotfmC0SzRv5cn+/qmg1CtLSjWzbncGMv+JLhHUl3+YNaLtxZtH7+hPeAeDajMUcG/M2mqrBeFSrWvS5IS6e/QOeov43bxP1wiMUxidz/Kn3ivZgBEhauBp1cAB1xr2IpkowuUdPs6/f45hSK3bhrA37TWhUMh7q6YGHRsbFBCuTFzvOTwzylePlUb6HmxB/OQM6aPHUysjMtbF2r5FNhyqmF3jNbgMalYxH+njhqZVx/pqZSfNyHPIU7K/A26N4zQF/bwVPDvRG5yEnT2/jwjULn0/PJv/64iVmC9SppqJnSw88PWTkFtg4d9XM+D9zKmTjdIA29z6B2WRg9awPKNTnUq1Wcx54carDPMPs9GsY8ovvX4e3zgVg9jcjHc7Vd9R4GrUbjFKl5tqFA+zf+CeF+lx0PoFUq92CR96YW2KBHVe6p20zsvLy+eWvVWTk5FKnegQ/vPk0gdf39UvOyHK47y3asBOzxcqb3/3hcJ4nBvfiqSG9AUjPyuXbWUvJyMkjyM+Hvh1b8vige92Wh9LcSZny85Ixuo8nnloZ+Qb7qr7fzC1w2Npl0ZZCJAke7++JUiHjdJyF+RvL3mt+p3q2a0l2bh6/LVhORnYutaMi+PadFwm8vhBOcnomshuu1eL1WzFbLLwz0XHe7Zj7+/HEAwOQy+VcuBrPqq27ySvQExTgR+tG9Xly2H2oVWVbaFAQbiaTpPJNkbfZbEyfPp3FixcTFxeHTCajRo0aDBkyhJEjRzp8qcvrk7muHUpT2d5/SEnGh49XdjJcKvDDqfQcfrCyk+FS62c3Z105hrL8L7insZoO/bdWdjJcaseKzqSd2lfZyXC54Pqt6DzY/asVV6Sti9vxtyqmspPhUn3NZ3l+4n9pxbN/78exvjz+mXtXXq5oU98NYvqWyk6Faz3aBfIOrKnsZLiUd4ted115AnuZyjp6d/32+jeuuN0PXOn4Bfevk1CahrVCbx/of0y51taVJIn+/fvz+OOPk5CQQMOGDYmNjSUuLo5HH32UQYMGuSudgiAIgiAIgiAItyVJskp73Y3KNSR1+vTpbN++nY0bN9K1q+Nk3E2bNjFw4EBmzJjBI4884tJECoIgCIIgCIIgCBWvXD2Mc+fO5Z133ilRWQTo1q0bb731FrNnz3ZZ4gRBEARBEARBEMrDhqzSXnejclUYjx07Rq9evUr9vHfv3hw9evRfJ0oQBEEQBEEQBEGofOWqMGZmZhIaWvpEztDQULKyKm71Q0EQBEEQBEEQBMF9yjWH0Wq1olSWHkWhUGCx3F0rnQqCIAiCIAiC8L9D7MPoWuWqMEqSxKOPPopG43wvOKPR6JJECYIgCIIgCIIgCJWvXBXGUaNG3TaMWCFVEARBEARBEITKcrdub1FZylVh/OOPP9yVDkEQBEEQBEEQBOE/plyL3giCIAiCIAiCIPyXScgq7XUnfvrpJ6KiotBqtbRu3Zp9+/bdMvzChQupW7cuWq2Whg0bsmrVqjv6u2UlKoyCIAiCIAiCIAiVYP78+YwdO5Zx48Zx6NAhGjduzL333ktqaqrT8Lt27eKhhx5izJgxHD58mIEDBzJw4EBOnDjhtjSKCqMgCIIgCIIgCEIlmDhxIk888QSjR4+mfv36/PLLL3h6ejJt2jSn4b/77jt69erF66+/Tr169fjkk09o1qwZP/74o9vSKCqMgiAIgiAIgiDcNSRJVmkvo9FIbm6uw6u0nSRMJhMHDx6kR48eRcfkcjk9evRg9+7dTuPs3r3bITzAvffeW2p4VxAVRkEQBEEQBEEQBBcYP348vr6+Dq/x48c7DZueno7VaiU0NNTheGhoKMnJyU7jJCcnlyu8K5RrlVRBEARBEARBEIT/sjtdfMYV3n77bcaOHetwrLQ97P9XiAqjIAiCIAiCIAiCC2g0mjJXEIOCglAoFKSkpDgcT0lJoUqVKk7jVKlSpVzhXUEMSRUEQRAEQRAEQahgarWa5s2bs3HjxqJjNpuNjRs30rZtW6dx2rZt6xAeYP369aWGdwWZJEmS284uCIIgCIIgCIJQgfadyam0v92qrm+5ws+fP59Ro0YxZcoUWrVqxaRJk1iwYAFnzpwhNDSURx55hPDw8KJ5kLt27aJz58588cUX9O3bl3nz5vH5559z6NAhGjRo4I4s/beGpOZ8/UJlJ8GlfF//ge9W3F318Zf6y8j77tXKToZLeb/0DfvPZld2MlyqZYwfuRNfruxkuJTP2EnM2n53lSeAER1lFC79vrKT4VLagS/y/MTK+7F2hx/H+vK3Kqayk+FSfc1n2dWiZWUnw6XaHdhP4eLvKjsZLqUd/BJv/GKo7GS41FdPe1A4/6vKTobLaYe9wSdzLZWdDJd6/6H/VFXhrjRs2DDS0tL44IMPSE5OpkmTJqxZs6ZoYZurV68ilxcPCm3Xrh1z5szhvffe45133qF27dosXbrUbZVF+I9VGAVBEARBEARBEP4NW2UnoJyef/55nn/+eaefbdmypcSxoUOHMnToUDenqpiYwygIgiAIgiAIgiA4JXoYBUEQBEEQBEG4a0hS5W2rcTcSPYyCIAiCIAiCIAiCU6LCKAiCIAiCIAiCIDglhqQKgiAIgiAIgnDXkBBDUl1J9DAKgiAIgiAIgiAITokeRkEQBEEQBEEQ7hpi0RvXEj2MgiAIgiAIgiAIglN31MOYk5PD+vXriYuLQyaTER0dTY8ePfDx8XF1+gRBEARBEARBEIRKUu4K46xZs3j++efJzc11OO7r68svv/zCsGHDXJY4QRAEQRAEQRCE8hCL3rhWuYakHjp0iNGjRzNw4EAOHz6MwWBAr9dz4MAB+vfvz8iRIzl69Ki70ioIgiAIgiAIgiBUoHL1MP7www8MHDiQ6dOnOxxv1qwZM2bMQK/X89133zFt2jRXplEQBEEQBEEQBKFMbFJlp+DuUq4exp07d/LUU0+V+vnTTz/Njh07/nWiBEEQBEEQBEEQhMpXrh7GxMRE6tSpU+rnderUISEh4V8nqjzUTTuiadkdmc4Ha2oChRv/wpp8pfQIGg+0Hfuhqt0YmdYTW24WhZsWYbl8yn6+Jh1QN+mA3CcAAGtGMsZda4o+rwiSJLF/7Q+c2rsQoyGXqtHN6DR4HH7BUaXGObFrLid2zyUv0/7vH1ClFi16PEf1ep2KwpzcM5/zh1aSlnAKs7GAMZ/sQ+NRMQsVqRq1R928CzJPb2zpiRRuWYIt5VrpEdRaNO36oKzVEJnGEykvi8JtS7HGnbnzc7qBJEksmvMrm9ctQ1+QT516jRj9zBtUCYu8Zbz1fy/k7yWzycnKIDK6No88+So168QWfb5pzRJ2bVtH3MUzFBr0TJmzAZ2Xt7uzg6pxBzQtuiHTeWNLS8SweRG25KulR9B4oG3fB2WtRsi0Omx5mRi3LMFy+TQAivAaqFt0QxFaDbmXL/plv2O5eNzt+biZJElsXfYDh7cvpFCfS7Vazeg9YhyBoVGlxtmxagpnDq0nI+kSSrWWiJpN6X7/qwRVqVEU5tDW+ZzYu5Kkq6cwFRbw+vf70HpWTJmat+s4f247THqenjpVA3nrvk40rBZ623irj5znrbnr6Fo/mkmj+jh8diklk0mrd3PwUiIWm42aoQF8M6IXVf3d/937R992Gto1UOOhlXEpwcr8jQbSsm1lituzpYb7OmrZfMjIoi2FRceDfOUM6qylRpgCpULG6TgzCzcXkqd3bxN0QIcW1Hh1DL7NGqANC+HAkGdJWb7x1nE6taL+hLfwql+bwmtJXBj/M/EzljiEqf7Mw9QYOwZNlWByj53h5MufkLO/4spVlaFDCRs5AnVgIAXnz3P566/JP+n8N1KmUBA+ejQh/fqiDg7GcOUKV374kezdu4vC+DRtStjIkXjVq4s6OJgzr75G5tatFZUdAObtPs6f246Qnq+nTpVA3hrQsWzl6eh53pq33l6eRvZ2+OxSaiaT1uwpLk8h/vby5Fdx5QngnhZKWtVT4qGBuGQbS7abSc8p23e/SxMlfdqo2H7MwopdZqdhHuujpm6kgj/XGDkZV7ay+m/M23uKP3ceJz3fQJ3QAN7q25aGEcG3jbf6+EXeWriFrnUjmfRwz6LjGfkGJq3bz+6LCeQVGmlWvQpv9W1L9UBfd2ajhM4N5TStKUOrgmvpEqv328jMLz1881oymteW46ezv0/LgW0nbFxMKr62Oi30aCKnRhUZahVk5MKOkzbOxN/93W9iDqNrlauHUa/Xo9VqS/1co9FQWFhY6ueupopphrbLIAp3rSZ/xlfY0hLQDX0WmaeX8whyBbqhzyH3CUS//Hfyfv8Uw9q52PJzioLY8rIp3Lqc/Blfkz/zayxXzuE56AnkgVUqKFdwePNUju2YSechHzLkxQUo1R6s/O1xLGZjqXG8fENp2+dVhr68iKEv/0V4rTasnv4cmcnni8JYTIVE1u1I8+6l9xK7g7J2EzQdB2Dcuw793G+xpiXiOfBJZB6lXyfPwU8h9/Gn8O8/KZjxBYUbFyDdcJ3KfU43Wbl4JutWLuCxZ97ko69/R6PR8uW4lzCZSr9We7avZ/bv3zHowTF8+u2fREbV4stxL5GTnVkUxmQspFGzNgwY+mgF5MJOWacp2s4DMe5ZQ8GsCVjTEtANfvqW10k35BlkPgEYVk4nf/rnFK6fjy2v+DrJVBpsaYkUbvqrgnLh3K41U9m3cSZ9RnzIY+8sQKXxYM63ty5TV8/up2XXhxn9znyGj52GzWphzsTHMRn1RWHMpkJqNuhIhz4VW6bWHD3PhJU7eKp7S+a9+AAxVYN45vcVZOTrbxkvITOXiX/vpFl01RKfXcvI4dFfFhMd4s/Upwby1ysP8mT3FqhVCndlo4QeLdV0bqJh3kYDE+bkYzJLPDdYh7IMSYgMVdC+kZr4NKvDcbUSnhviiSTBD38V8O38fBQKGU8N9HT744RC50nusbOcePGjMoX3iIqg5fIpZGzZy44W93H5hz9pOOVTgnp2KApTdWhv6n39Nuc//YkdrQaRd+wMrf/+HXVwgLuy4SCwZ0+iXnmZ+N+mcnTESArOnaf+Dz+g8vd3Gj7y2WcIHTyIS19/zeEHhpG8aDExX3+FLqa48Vnu4UHB+XNc+vKrCsnDzdYcO8+Ev3fyVPcWzHt+qL08TVt5+/KUlcvEVbtoFlVaeVpCdLAfU5+8j79eGsaT3VqgLsuX2YW6NFHSvqGSxdtN/LDYiMkMY/qqy1SmIoJltKmvIDG99Epgx0YVm581xy8xYc1enurSlHlP30dMlQCembGGjHzDLeMlZOUxce0+mlV3bASQJImX56wnPiuXSQ/3YP4zA6nq58VT01ejNzmvILtDu3oyWtWRsWq/jWnrrZgt8HBXBYpbPKXn6mHTERtT11iZutZKXIrEsI5ygm9os7yvjZxAHxnzt1mZssrKmXgbQ9rLqeK8uApCqcq9D+PatWtZvny509fatWvdkcZSqVt0xXRsN+YTe7FlJGNYNx/JbELdoK3z8A3bIPPwRL/0V6wJl5FyM7HGX8CWVtwrarl4AsvlU9iy07BlpWHcsRLJZEQRFlUheZIkiWPbZ9C8x9NEN+hOUFgM3R/8koLcVC6f2FBqvKjYblSv1xm/4Cj8gqNp0/sVVGpPkq8UL0LUuNMomnV7ktDIxhWRlSLqZp0wn9yD5dR+bJkpGDctQrKYUcW2chpeFdsKmcYTw8o/sCbFIeVlYU24hC096Y7P6Q6SJLFm+Tzue2A0zdt0JjK6Nk+/8iHZmekc3FN66/jqZXPpes99dO7Rn/DIGox+9i00Gi1bN6woCtPrvocYcP8oasU0qIisAKBp3gXzid2YT+7DlplC4YaFSBYTqgatnYZXNWiNTOuJYfnvWBP/KU8XsaUnFoWxxJ3GuGsVlgsV36v4D0mS2LdhBh37PU1M0+6EVovhvse+JC87lTOHSy9TD78ylcbtBxMSXpsq1eoy4LHx5GQmknTlZFGY1j1H0b7Pk4TXqNgyNXP7EQa3imVgy3rUDA3gvUFd0KqULN1/utQ4VpuNd+at55merYgIKNly/sOaPXSIqc4rfdpRLzyYaoG+dKkfTaCXpxtz4qhrUw1r9xZy/KKFxHQbM9bo8fWS0biW6pbx1Cp4tI8Hc9frMRQ6tpzXCFcS6CNn1lo9iek2EtNtzFyjJzJUQZ1I9z7spq3dxrlxk0hZVvr37EbVn3wQw+V4Tr/xJflnLnFl8mySF60l+qVHi8JEvzyaa78vIP7PxeSfvsjxZ8dh1RdS7dEhbsqFo7DhD5OydCmpK1ZguHyZS+PHYy0sJGTAAKfhg/v0IeGP6WTv3IUxIYGURYvI3rWLsOEjisJk79rFtZ9/IXPLlgrJw81mbj/K4Jb1Gdjienka2BmtWsnSA2dKjWO12Xhn/gae6dGSiICSowp+WLfXXp56t6NeWOWUJ4AODZVsPGThVJyN5EyJ+ZtN+HjKiI269XdfrYSHuqv5a6sZg8l5b1TVQBkdG6lYsNnkjqQ7NXPXCQY3j2FgszrUDPHnvf7t7fe+Q+dKjWO12Xjnry0807UZEf6O1+pKRi7H4tN4t397GoQHExXkx3v92lNosbLm+CV3Z6dIqxg520/aOJcgkZoNy/bY8PaAuhGlN2udT5S4kCSRmQ+ZebD5mA2TBcKDiuNUC5Kx/5yNxEzILoAdJyUKzVDFX/S+CeVT7m01Ro0a5Y50lJ9cgaJKNYx7199wUMJy5WyplTtlrYZYE+Pw6PEAyloNkfT5mE8fxLhvPUhObogyGaqYpshUaqyJce7IRQm5mfHo89KoVrtd0TGNhzehkY1IvnKE2k373vYcNpuVi0fXYDbpqVK9iRtTWwZyBfKQCEz7N91wUMJ69RzyKtWdRlHWiMWafAVNl8EoazZA0udjOXcY04FN9ut0B+d0h7SURHKyMmjQuLiS6qnzomadWM6fPU7bTveUiGMxm7l84Qz97y8uR3K5nNjGLblwpvIqVcgVyEMjMO678cFWwnLlHIqqUU6jKGs2wJIUh7bb/ShrNkQy5GM+cxDT/o3Oy1MlyU6PJz8njeh6xWVK6+lNeI1GJFw8QoNWty9TAEZ9HgAeuoodpnQzs8XK6YQ0xnRtXnRMLpfRplYEx64mlxpvyob9+Ht5MLhVfQ7HJTl8ZrNJbD9zhUc7N+Xpqcs5k5hOeIA3Y7o2p1tsjVLO6FqBvjJ8veScuWopOlZogrhkK1FVFRw8W3pr/7BuHpy4ZOHsVSu9bmrfUCpAAiw3dDxarPavaM1wJWevOvZIVia/Nk1I37Tb4Vja+h3U/+YdAGQqFb7NYrn45ZTiAJJE+qZd+LVp6vb0yZRKvOrWJeGP6Q5/P2ffPrwbNXQeR6XCdtOIC1uhEe8mFdvIUhqzxcrpxDTGdGlWdEwul9Gm5m3K08YD+Os8GNzyFuWpU1OenrbCXp78vRnTpVmFlSeAAG8ZPjoZ5+OLv+OFJriWaqN6FTlHL5b+3R/YUcWZqzYuJNjo3rzk5yolPNxdzdIdJm7TuecyZouV00npjOnUqOiY/VqFcSw+tdR4U7Ycsd/7msdw+EqK4zmt9n8DzQ1drnK5DLVCweErKQxuHuPiXJTkpwNvDxmXk4t/N41mSMiwV/5OXr3976lMBvWryVApIT69OPy1dIn6kTLOJ0oUmiA2UoZSAVdS/zu/0e4iSaJS7Erl6mG02WxlelUEmYcOmVyBpHfcD1LS5yHTOZ9DJPcNQlWnCcjkFCz6BePutahbdkPTtpdjuKCq+Lw0AZ+x3+LRcxj6pVOxZZT+w+FK+rw0ADy8Ax2Oe3gFoc9Lv2XcjKSz/PpOM6a81Yitiz6k96M/ElClltvSWhb/XCfb9Yftf0j6fOQ65/M4ZD6BKGs1Arkcw7KpmPZtQN20M+pWPe/4nO6QnZUBgI+f41AwH78AcrIynUUhLzcbm82K701xfP0CHIakVrTi8nTzv2ke8lLLUyCq2o1BLke/ZArGPetQN++KunXJinJlys+xlymdj2OZ0vkEkZ9z6zL1D8lmY938z6lWqxkh4aXP464IWfpCrDapRE9FoLcn6XnOh9AdupzIkv2nGTekq9PPMwv06E1mpm05RPuYSH55vD/dYmswduZqDlyqmHnpPp72n6Ob5xXmFdjw0ZX+w988RkW1UAXLdzifDhGXZMVkhvs6alEp7T0ngzppUchltzxvZdCEBmFMcfxOGlPSUfl6I9dqUAf5I1cqMaZm3BQmA02VILenT+nnh0ypxJTpeK8yZ2aiCgx0Gid7zx7CHh6Otlo1kMnwbd2KgG5dUQe5P71lUXp58ii9PMUlseTAacYN7uL088wCg708bT1E+zqR/PLY9fI0e02FlScAb0/79zvfcFOZMkh4e5Qer3FNBeFBclbvLb2Rpn87FVdSbJyqgDmL/yi6VjrHxAfqPEjPc15rPXQlmSWHzjJuQAenn0cF+VHVV8f36w+QazBitliZtv0oKbkFpJVy/V3N63p2Cm66hRUUSniVPgsMgBBfePN+Be88oKBPSzkLt9tIv+GxeNFOGwo5vD5EyTvDisNk3WJupCA4U+4exlux2WysWrWKfv363TKc0WjEaHRscdRoNK5MinMyGZI+D8O6uSBJ2FKuIfP2RdOyO8Zdq4uC2TJTyf/zC9B4oKrTBI8+IyiY971bKo3nDq1gy1/jit73HfPLHZ/LLziaYWOXYCzM4+KxtWyc9xYDn5lZ6ZXG8pLJZEiGfIwbF9qvU2o8Ri8f1M27Ytq7rtLStXPLGqZN/qLo/WsfTKy0tPwnyGRI+nwK188vuk4mL1/7UPE9FTs8/UbH96zg75nFZeqhF++8TP1j9eyPSU04z6NvzvnX56poBUYT787fwLghXfHXOX9K/Gf58a6x0Yzs2ASAumHBHL2SzMI9J2lRI9zl6WpRV8VDPYrT8/PSgnKfw89LxpAuWn5cVODQg3ijfIPE7yv1DOuupXNTHyQJDp4xczXF+l/qCL9rXZ7wDTXfe5emf9nv54UJCaQuX0HIgP6VnbQ7UmA08e6CDYwb3OUW5cn+xepaP5qRHew9qXXDgjh6NZmFe91TngCa1lYwuFPx8O0/VpV/qKivTsaA9ip+W2kstUzVry6nVricSQtLnwP+X1BgNPHuoq2MG9ABf53zmpdKIWfiQz34cOl2Oo6fhUIuo3WNMDrUjnDb/aFBdRl9Wxb318zdeuejHNLz4Nc1VjQqqB8pZ0AbOTM2WosqjV0aydGqZMzcZMVglIiJkDGkvZw/N1hJzbn1uf/Xifu7a7mkwnjhwgWmTZvG9OnTSUtLw2y+9UTh8ePH89FHjosAjBs3jld0Zf+bkqEAyWZFdtOKhDJPb6SCXOdxCnKQbDaHb5EtIwW5ly/IFWC7XmhtVmzZ9lZeY8o1lFWro27emcJ188uewDKKqt+VYWOLh1dYLfYbvCEvA51PSNFxQ346gWH1bnkuhVKNb5B9SGZIRAPSrp3g2I4ZdLn/Y5enu6z+uU5yT29ubIeUeXphK8hzGsdWkGu/Fjdep8xUe0+XXHFH53SFZq06OqxkarHYv+e52Zn4BxS3ludmZxJZo7bTc3j7+CGXK0r0JuZkZ5bodaxIxeXJsYdW5ultvx7O4hTkIllvvk5OylMFq9OkK+HRxWXKcr1MFeRm4O1XXKYKctOpUu3WZQrslcXzx7bwyBuz8AmouMWvSuPvae8du3lBjow8PUHeJedHXcvIITErjxf//Lvo2D8PtM3ensyy14ZTxdcLpVxOjRDH72B0iD9Hbhpu5yrHL5qJSy7+jvwzIszbU0ZuQfF3ylsnJz7V+XcpMlSBj07OmyOKF2ZSyGXUjFDQqYmal7/LRZLgzBULH03LR6eVYZMkDEb4/ClvDuZUXO9IWRhT0tGEOva8aUKDMOfkYSs0YkrPwmaxoAkJvClMIMbksvWW/xuW7GwkiwV1gOP3RBUQgDkjo9Q4Z197HZlajcrXF1NaGtVfeB5jQqLT8BWt9PJkKKU85drL04xVRceKytO7P7Ns7MM3lCfHlUWig/05csU95QngVJyVqynF3+l/ypSXh8yh597bQ0ZihvOn6YhgGd6eMl66v7gRXyGXEV1Vol0DBe/8VkjNcAUBPjI+esyxEjbyHjWXk21MWe6eOY1F16rAsTcxo8BAkJMu02uZeSRm5/PinOKpS0XX6sNpLHvxfqoF+FA/LIgFzw4ir9CE2WolQOfB8CnLiQ13Ty/4uQSJhIwb7n3X6446LeTf0Muo08pIzrp1rcdmo6i3MDnLRtUAOa1i5Kzab8PfC1rVkfPL3xbSrv+Mp2RLVAuWaFFbzqoD/637n/DfdscVRoPBwMKFC5k6dSo7d+6kY8eOfPDBBwwaNOi2cd9++23Gjh3rcEyj0VD4/WtlT4DNijX5GsrqdbBcOHb9oAxl9TqYDm13GsWScBl1veaADPusFpD7B9tXSb3lw60MmeLWiy7cKbXWC7W2+GFHkiQ8vYOJP7+boHD7w6ypMJ+Uq8eIbftQuc4t2WxFFdBKY7NiS41HUa02lksnrh+UoahWG/OxnU6jWJMuo4ppxq2uU3nP6Qoenjo8PItbNSRJwtc/kJNH91O9hn2Yol6fz8VzJ+nee7DTcyhVKqJr1eXk0f20aNPZnhebjZPH9tOz71C3pf22bFZsKfEoI2vfsO2FDGVkHUxHnJcna8JlVHXvpDy5l0brheamMuXlG8zl07upEmkvU0ZDPgmXjtG8S+llSpIk1sz5hLOHNzDy9Rn4B0e4Pe1loVIqqBcezN4L8UXzoWw2ib0X4nmwXcl5ZNHB/vz1yoMOx35au5cCo4k3BnSkiq8XKqWC2IgQ4tKyHMJdSc9225YaRjMYb9ouIyffRkykkoQ0+31Lq4aoKgp2HHV+Hzt71cJnfzo2Eo2414OUTBvr9xtLtDAXXF8Qp041BV6eMo5ftPBfkr3nCMG9OzkcC+rejqw9RwCQzGZyDp0kqFvb4u05ZDICu7blyuRZbk+fZLGQf+YMvq1aFm97IZPh27IlyQsW3jquyYQpLQ2ZQkFAt25krC/bQkDuplIqqBcWzN6LCY7l6WI8D7Z1Vp78+OulYQ7Hflq/z16e+nW4oTwFE5eW7RDuSnq2W7fUMJrBaHb80ucWSNQOV5CUYf+ua1RQLUTO7pPOG/YvJNj4Zr7j2MgHuqpJzbax5bAFSYLNh83sO+1Ydl4dpmXFLjOnrrivEqJSKqhXNYi9l5LoVi8KuH6tLiXyYKv6JcJHB/ny13OOz6Q/bTxIgdHMG33aUMXHsZfCW6sG4EpGDqcS03muezPcwWQB001DQvMMEtFVZKRk26+fWgnhgXDwfPm6yWSy4groPwtc33wGSbKHE4TyKHeFcf/+/UydOpV58+ZRs2ZNhg8fzq5du5g8eTL165cssM5oNBqnQ1DLuyGH6cBmPPqMwJp8FWvSFdQtuiBTaTCd2AOAR5+R2PKyMW63rz5pOrIdTdOOaLsPwXRoK3L/EDRt7sF0qHhFS03H/vZVUnOzkKk1qOq1QBFZC+PCyeVM3Z2RyWQ06vgIBzf+gm9wFD4B4exb8z06nxCiG/QoCrfsl0ep0aAHDTvYV5rbveobqsd0wsu/KmZjAecOryTh0j76PzG1KI4+Nw19Xjo5GfZ99TKSzqHW6PDyr4rW089teTId2ob2ngexpl7DlnwVVdNOyFRqzKf2AaC95yFs+TmYdtlbbM3HdqNu1AFN54GYjm5H7heMumV3zDdUXG53zoogk8noNeBBli74g9CwaoSEhvHX7Cn4BQTR/HplEODz956jRZsu3NPPXiHsfd9DTJn0MdG16lGzTn3WLJ+HsbCQzt2Lh3JnZ2WQk5VBSlI8ANeuXMDDQ0dgcChe3u5ZdMV4cAsevR7GmnINa/JV1M062/9NT+4FQNtrOFJ+DsYdKwEwHd2JuklHtF0HYTq8Hbl/MOpWPTEd3lZ8UpUauV/x/lhy3wDkweFIhQVIedluycfNZDIZrXo8wo6/fyEgNAq/oHC2LP0eb78Q6jYtLlMzJzxK3WY9aNnNXqZWz/6YE3tXMuz5n9BodUVzITUe3qjU9pb1/Jw08nPSyUq1l6nU+HOotTp8A6ri4eXntjyN7NiE9xdsJDYihAYRIczacRSD2cLAFvYK8bvzNxDio+Ol3m3RqJTUruLYI+XtYb//3nh8VOemvDFnLc2jw2hZM5yd566y7XQcU58c6LZ83GzzYSO9WmtJy7KRkWujbzstOfkSRy8UP9y+cL+OoxfMbDtiwmiGpAzHB1ST2V4xvPF4m1gVyZk28vUS0WEK7u+iZfNBE6lZ7m1hV+g80dUq3pPVMzoCn8Z1MWXmUHgtiZhPx6IND+Xo6DcBuPLrPKo/O5y641/n2vRFBHVtQ9Whvdk/oHjblsuT/qDxtC/JPniCnP3HiHpxFEqdB9f+XOzWvPwjcfYcan84jvxTp8k/eZKqDz+EwsOD1BX239laH32IKTWNqz/9BIBXbCzqkBAKzp1DHRxMtSefRCaTkzBjRtE55R4e9jmO12nCw/CsUwdLTg6mFMdFStxhZMfGvL9wE7HhwTSoFsKsnccwmCwMbF4XgHcXXC9PvUopT9crGg7lqVNT3pi7zl6ealwvT2fimPrEQLfn50Y7jlvo1lxJeo6NzDyJe1qqyNVLnIwrbtR7op+ak5et7DppxWiGlJt6tUwWCX1h8fF8Q8l5kQDZ+RJZee4dBziyXQPeX7KN2LAgGkQEM2v3Cfu1amZvtH130VZCfDx5qWdL+7UKdewN99Zev/fdcHzdicv467RU9dVxPiWLr1bvoWu96rSrVXGNhPvO2ugQKyczz0Z2vkSXRnLyDDjslziiq5wz8RIHrlciuzWWcyHRRo4eNEpoECUnKkTG7C32+1p6LmTkSfRpqWDDYSsGE8REyKhRRca8rXd/76JN7MPoUuWqMDZq1Ijc3Fwefvhhdu3aRWysfXjeW2+95ZbE3Y757CFknl5o2/dFpvPGmppAwV+TixbukHv7OwyXk/KyKfhrMtqug/F69G1s+dmYDm61r5J6ndzTG88+I5HpfJCMhdjSE9EvnIzlytkKy1fTro9jMRnY8tcHmAy5VI1uTr8nfkOpKq5k52ZcxVBQ3BtgyM9k47w3KchNQ6P1JjAshv5PTKVanfZFYU7snseB9T8VvV862f5g3G3Y59Rt6bxHzBUs549g9NChaXMvMk8fbOkJ6Jf+hqS3N7HJvP2Q33id8rPRL/0Vbaf70A1/DSk/B/OR7fZVUst4zorSb/BIjIUGpv00Hn1BPnXqN+aND79DrS6+VqnJCeTlZhe9b9OxJ7k52Sya8ys5WRlUr1GHNz6chK9/8cPGxtWLWTKvuLL/6dtPA/DkS+/Tqfut5wjfKcu5wxR66tC0623/N01LQL94StG/qdzbv2g4D1y/Tot/QdNlILpH3kDKz8F0eKt9ldTrFKGR6B54vui9tou9tdd0ch+FaytuPmC7Xo9jNhr4e8YHFOpziazdnIdfdixTWWlX0ecVl6mDW+YCMOPrRxzONWD05zRuP/h6mHlsW1Fcpv78akSJMO7Qq3FtsgoMTF63l/Q8PTFhQUx+rB+B14fQJWfnIS9nE3L3BjV4b1Bnpm0+xJfLtxMV7Mc3I3rRLDrMHVlwasN+ExqVjId6euChkXExwcrkxY7zE4N85Xh5lC9vIf5yBnTQ4qmVkZlrY+1eI5sOuX/0hW/zBrTdOLPoff0J9tVOr81YzLExb6OpGoxHteI9/Axx8ewf8BT1v3mbqBceoTA+meNPvUf6+h1FYZIWrkYdHECdcS+iqRJM7tHT7Ov3OKZU50NCXS1j/XpU/n5EPv0UqsBACs6d49QLL2K+vhCOpkqV4kmxgFyjIfKZp9GGh2M1GMjauZPzH3yANb/4Xu1Vvx4NphSv/Bp9fQRS6oqVXLhp+oo79GpUm6z8QiZv2GcvT1WDmDz6xvKUX/7yFFuD9wZ2ZtqWQ3y54np5Gt7L6Z6N7rTliAW1EoZ0VqNVQ1yyjd//NjmUqUBfGbpylqnK0qthDbL0hUzedJD0fAMxVQKZPPJeAq+vHJOcU/5rlZavZ8KavWQUGAj28qBfk9o81bmJG1Jful2nJVRKib4t5WjVcDVNYs4WK9Yb6nX+XjI8NfBPn6GnBu5ro8DLw967nJItMXuLrWi1VZsE87ZY6dZEzrDOCtRKyMqzb9lxIUlM8BPKRyZJZZ8WqtFoGDZsGCNHjqRHjx7IrhdKlUrF0aNHy9zDWJqcr1/4V/H/a3xf/4HvVtxdhfKl/jLyvnu1spPhUt4vfcP+s9mVnQyXahnjR+7Elys7GS7lM3YSs7bfXeUJYERHGYVLv6/sZLiUduCLPD/x7lpR4cexvvytcv8S+xWpr/ksu1q0rOxkuFS7A/spXPxdZSfDpbSDX+KNXypo74oK8tXTHhTO/6qyk+Fy2mFv8Mnc/9ZQ93/r/Ydcuj5mhdlwrPIWZerRqAIW8qxg5dpW49KlS8TExPDMM88QERHBa6+9xuHDh4sqjoIgCIIgCIIgCMLdo1wVxvDwcN59910uXLjAzJkzSU5Opn379lgsFqZPn865c+fclU5BEARBEARBEITbkqTKe92NylVhvFG3bt2YNWsWSUlJ/Pjjj2zatIm6detSq9b/1p5/giAIgiAIgiAIgnN3XGH8h6+vL88++yw7duzg66+/5tq1a65IlyAIgiAIgiAIglDJylVhNBqNvP3227Ro0YJ27dqxdOlSAP744w9q1qzJd999x8cfV94m8YIgCIIgCIIg/P8mIau0192oXEsfffDBB0yZMoUePXqwa9cuhg4dyujRo9mzZw/ffPMNQ4cORaFQuCutgiAIgiAIgiAIQgUqV4Vx4cKFzJgxgwEDBnDixAkaNWqExWLh6NGjYqVUQRAEQRAEQRAqne0uXXymspRrSGp8fDzNmzcHoEGDBmg0Gl555RVRWRQEQRAEQRAEQbgLlavCaLVaUavVRe+VSiVeXl4uT5QgCIIgCIIgCIJQ+co1JFWSJB599FE0Gg0AhYWFPP300+h0Oodwixcvdl0KBUEQBEEQBEEQykiSxOhHVypXhXHUqFEO70eMGOHSxAiCIAiCIAiCIAj/HeWqMP7xxx/uSocgCIIgCIIgCMK/JolFb1yqXHMYBUEQBEEQBEEQhP8/ytXDKAiCIAiCIAiC8F9mQ8xhdCXRwygIgiAIgiAIgiA4JSqMgiAIgiAIgiAIglNiSKogCIIgCIIgCHcNseiNa8kkSfyTCoIgCIIgCIJwd1hx0FJpf7t/87uvP+4/laP8n96o7CS4lNdzXzFp+d1VH395gIzEVx6q7GS4VNi3c9l1Oq+yk+FS7ep5k/Hh45WdDJcK/HAqP62u7FS43nO9wTBnfGUnw6U8Hn6bxz9Lr+xkuNTUd4PY1aJlZSfDpdod2M/fqpjKToZL9TWfpXDp95WdDJfSDnyRN381VHYyXOrLJz3Q//5BZSfD5TzHfMwrP+ZXdjJc6tvnvSo7CXdEksSiN64k5jAKgiAIgiAIgiAITokKoyAIgiAIgiAIguDUf2pIqiAIgiAIgiAIwr9hu7tmhFU60cMoCIIgCIIgCIIgOCV6GAVBEARBEARBuGuIPSBcS/QwCoIgCIIgCIIgCE6JCqMgCIIgCIIgCILglBiSKgiCIAiCIAjCXUNC7MPoSqKHURAEQRAEQRAEQXCqzBXG33///Zaf5+Xl8fjjj//rBAmCIAiCIAiCINwpm1R5r7tRmSuMY8eOpV+/fiQnJ5f4bO3atcTGxrJ//36XJk4QBEEQBEEQBEGoPGWuMB49epSCggJiY2OZO3cuYO9VHDNmDP3792fEiBEcOHDAbQkVBEEQBEEQBEG4HUmqvNfdqMyL3kRFRbF582YmTZrEE088wezZszl+/DheXl7s3LmTli1bujOdgiAIgiAIgiAIQgUr9yqpTz31FNu2bWPp0qXodDpWrlxJw4YN3ZE2QRAEQRAEQRAEoRKVq8K4c+dORo8ejVKpZM2aNUydOpW2bdvy2Wef8dJLL7krjbe04OglZhy6QIbeSO0gH97o3IgGVfydhl1+6iofbTjscEytkLP7uf5F7/UmCz/sOsWWi0nkFJoI8/HkwSY1uL9htFvzcSNJkti/7gdO712I0ZBLlahmdBo8Dr/gqFLjnNg1l5O755KXlQBAQGgtmvd8jup1OxWFObVnPucPryQt4RRmYwGPfbwPjYePu7MDgGf7nnh164/C2xdz4lVyFk/HfPWi07CBz72Pplb9EscLTx0m87evQK7Au88DaOs1QREYglRowHjuOLkr52HLzXJ3VhxIksTSuVPYun4J+oJ8atdtzMin36JKWOQt421ctYDVS2aSk51BZFRthj/xOjXqNHB6/m8/eYnjh3bxwlsTaNami5tyYqdp2RWP9vci9/LFknwN/eq5WBIulxpepvXAs9sg1PWaIfPQYcvJoGDNfMznjwPg9/IXKPyCSsQr3LeJglVz3JaPm0mSxN7V33Nij71MhUU3o+vQD29Zpvavn8LFY+vISr2EUqWlalRT2vd/Df/QGkVhstOvsmPZlyReOojVYqJ6vY50GfI+nt4l8+xq8/ad5s9dJ8jIN1CnSgBv9m5Nw/Bgp2GXHTnPuGU7HY6pFXL2vfdI0fuNp6+w8MBZTidlkGMwMu+p/tStEujWPDhzXydPOjbV4qmRcSHezKzV+aRm2UoNP6CjJwM6eTocS0q38P6U7KL3I3vrqBetxs9LjtEkcSHBzKJNepIzrO7KRpEqQ4cSNnIE6sBACs6f5/LXX5N/8pTTsDKFgvDRownp1xd1cDCGK1e48sOPZO/eXRTGp2lTwkaOxKteXdTBwZx59TUyt251ez7+EdChBTVeHYNvswZow0I4MORZUpZvvHWcTq2oP+EtvOrXpvBaEhfG/0z8jCUOYao/8zA1xo5BUyWY3GNnOPnyJ+TsP+7OrDiYt+s4f247THqenjpVA3nrvk40rBZ623irj5znrbnr6Fo/mkmj+jh8diklk0mrd3PwUiIWm42aoQF8M6IXVf293ZUNp3o2V9KqnhIPNcQl21iyw0xGbtnGzXVprKR3axU7jltYsdvsNMxjvdTERCr4c62RU1dKL6uuMv/Qef7cd4aMgkLqhPjxZo9mNKjq/F61/Phlxq3e53BMrZCz99WhTsN/uvYAi45e5LVuTRjeIsblab+VXq3UtI1VotXIiEuysnCLkfScsl2n7s1U9GunYesRE0t3mADw95bxwSid0/DTVxs4etH997/KdLcODa0sZa4wvvrqq/z44488//zzfPbZZ2i1Wu655x7mz5/P888/z5IlS/jjjz+Ijq64itW6cwlM3H6Sd7o1okGoP3OOXOL5ZbtZPLI7AZ4ap3F0aiWLR3Yvei+7aZuWidtPsD8+nU/ubU6Yjyd7rqbyxeZjBOu0dK5R1Z3ZKXJky1SO75hJt2Ff4BMQwb6137Fy6uM8+NrfKFXO8+XlF0qbPq/iG1QdkDh7YClrpj/H0JcXE1ClNgBmcyHVYjpSLaYje1dPrJC8AGibtMF34EiyF/6O+coFdJ17E/jUW6SOfxVbfm6J8Jl/TESmKP5qynXeBL/2BYYjewCQqdWoI6LJW78Ec8IV5J46fAeNIuDx10if+G6F5Qtg1ZI/Wb9yHo+/9CHBoeEsnvMzEz96gc9+WIBK7fxa7d2xjnnTvuWRZ96mRp0GrF8+l28+eoHxPy3Cxy/AIey6FRVXqVLHtkR37wMUrJyFJeES2jY98B7xMtk/vodUkFcygkKBz8ix2AryyFvwC7a8LOS+gUiF+qIgOb9+CvLiqdLKkHB8HnkV46mDFZGlIgc3/saRbTPpOfwLfAMj2L3qO5b+MoYRb60qtUwlXNxHow7DCY1siM1mZfffE6/H+RuVxhOzUc/Snx8jOLwug5/7E4A9q75jxW9P88DLC5DJ3bdr0doTl/lm3X7e7duWhhHBzN5zimdnrWfZ84MI0Hk4jeOlUbH0+UFF72U37VFlMFloGhnCPbFRfLxil9vSfiu92nrQvaWWaSvySc+2cl9nT155yJf3p2RhucWzTUKqhW/m5BS9t930zHol2cKeE0Yyc23oPGQM6OjJKw/58NZPWW59qAjs2ZOoV17m0vgvyDtxgqoPPUT9H37g8JD7MWeVbNyKfPYZgnr35uJnn2GIu4JfmzbEfP0VJ8aMoeDsOQDkHh4UnD9H6vLl1J3wtfsSXwqFzpPcY2e5Nn0RLf766bbhPaIiaLl8Cld/nceRR14jsFtbGk75lMKkNNLX7wCg6tDe1Pv6bU48N47sfUeJfnEUrf/+nS2xvTClZbo7S6w5ep4JK3fw3qAuNIwMZfaOozzz+wqWvfYwgV6epcZLyMxl4t87aRZd8tngWkYOj/6ymEEt6/NMz1Z4adVcTMlErVK4MScldW6spH0DJQu2mMjMk7inhYoxfdRMXGi8ZZkCiAiW0bqegsSM0iuBHRoqqMjn8rWnr/LN5iO8e09zGlQNZM6Bczy7YCtLH+9DgE7rNI6XWsWSx3sXvZfd/OB33aZz8RxPyiDYy/k91J26NVPRqbGKORsKyciV6N1azdMDPPhijv6216laiJy2DVQkpDsGzM6X+GBagcOxtrFKujZVc/rq3V1ZFFyvzE80y5YtY8OGDXzzzTdotcWFctiwYZw4cQJfX18aNWrklkSWZtbhCwxqUJ0B9atTI9CHd7o1RqtUsOzUlVLjyIAgnbboFejpeIM5lpRJv3rVaBERRJiPJ4MbRFE7yIeTKdnuzcx1kiRxbPsMmnd/mugG3QkMi6Hbg1+iz03l8skNpcaLqt+N6vU64xcchV9wNK17v4JK7UnK1aNFYRp3HEWzbk8SWr1xRWSliFeXvuh3b8KwbyuWlARyFv6OZDLh2bqL0/CSvgBbXk7RS1OnIZLZSOHRvfbPCw1k/PI5hUf2YE1LwnzlAjmL/kBdrQYKv4rrEZEkifUr5tL/gTE0a92FalG1eeKlj8nKTOPQ3i2lxlu3bDad7hlIx+4DCK9Wg0eeeRu1Rsv2jcsdwl29dJa1y2Yz5oUP3JwTO23bnhgPbcd4ZCfWtCQKVs4CswlN0w5Ow2uadkDmoSNv3k9Yrl3Alp2B5co5rCnxRWEkfT5Sfm7RS1WnEdbMVCxxZyskT2C/Tke2zaDVPc9Qs2EPgsLqcs/wryjISeXS8dLL1MCnf6d+68EEVq1NcHhdejz8BXlZiaTGnwQg8fIh8jIT6PHwFwSFxRAUFkPP4V+Scu0E187vcWueZu45yeBmdRjYtDY1g/14r19btColSw+fv2W8IC/PolfgTQ9F/RrX5KnOTWhdQQ1jzvRo5cHKHQaOnDMRn2pl2vJ8/LzlNI1R3zKeVYLcAqnolW9wfITddtjI+WsWMnJsXE22snSrnkBfBUG+7t2KOGz4w6QsXUrqihUYLl/m0vjxWAsLCRkwwGn44D59SPhjOtk7d2FMSCBl0SKyd+0ibPiIojDZu3Zx7edfyNyyxa1pL03a2m2cGzeJlGWll50bVX/yQQyX4zn9xpfkn7nElcmzSV60luiXHi0KE/3yaK79voD4PxeTf/oix58dh1VfSLVHh7gpF45mbj/C4FaxDGxZj5qhAbw3qIu9PO0/XWocq83GO/PW80zPVkQE+Jb4/Ic1e+gQU51X+rSjXngw1QJ96VI/+pYVUHfo0FDJpsMWTl2xkZwpsWCzCR9PGbFRt664qpXwYFc1i7abMRidVwmrBsro1FDFwq0mdyTdqVkHzjK4UQ3ua1iDmkG+vHtvC/u1Ol76SBhkEOTlUfQKdFKxTM3T8+WGQ3zerw1KecVv+N65sYp1B0ycuGwlKcPGnA2F+OhkNKxx634dtQpG3KNlwSYjBqPjZ5IEeXrJ4dWwhpIjFyyYnHcW31VskqzSXu6SmZnJ8OHD8fHxwc/PjzFjxpCfn3/L8C+88AIxMTF4eHgQGRnJiy++SE5OTqlxSlPmX8tjx47RsWNHp5+FhoaybNkyJk+eXO4E3Cmz1caZ1BxaVSsegiWXyWhVLZjjSaUPSzSYrfT9Yx19pq1l7Iq9XMxw7OFqVDWAbZeSSc032IeGXkvjanY+bSKdD/VytbzMePR5aUTUbld0TOPhTUhkI1KuHCnTOWw2K+eP/I3ZpCe0ehP3JLSsFApUEdEYz50oPiZJGM+fQFW9dplO4dm6C4bDu5FMxlLDyDw8kWw2bAZ9qWFcLS0lgZysDGIbtSo65qnzomadBlw463wolcVsJu7iGWIbtS46JpfLqd+4FRfOHis6ZjQWMmXie4x48g18/d0/vBGFAmVYdUyXbhgqJ0mYLp1GFVHDaRR1TBMs8ZfQ9X0Y/9cm4vvsR3h07FOy2/6Gv6Fp1Abj4R1uyEDpcjPi0eemUa2OY5kKrd6YpLjDt4jpyGSw97JqPe0Ph1aLCWQyFMriyoxCpUEmk5N4yX09qGarldOJGQ4VO7lMRusaVTkWn1ZqPIPJQu9JC7n32wW8PG8jF1Irdvj27QT5yfHzknM6rvjh02CUuJRgoWa46pZxQ/0VTHjRn/HP+vP4fV4E+JT+06ZWQftGWtKyrGTmum/4nEypxKtuXXL23jAcTpLI2bcP70bO5/3LVCpsN93nbIVGvJtUbCOfK/m1aUL6pt0Ox9LW78C/TRPAnmffZrGkb7yhV1uSSN+0C782Td2ePrPFyumENNrUjig6JpfLaFMrgmNXS24j9o8pG/bj7+XB4FYlp0/YbBLbz1yhepAfT09dTpePpzH8x4VsOnnJLXkoTYC3DB9PGecTinuTCs1wLdVGZMitH/8GdlBx5pqNCwnOy4hKAQ91U7N0p4l8g0uTXSqz1crp5CxaRxUPFZbLZLSuHsqxxPRS4xlMFnr/soJePy/n5cXbuZju+LBskyTe+3svo1rVpWZQycq/uwX6yPDRyTl37YbrZIIrKTaiqtz6Ot3fWcPpOAvn4m/fYxgRLCciWMHeU/8Paot3qeHDh3Py5EnWr1/PypUr2bZtG08++WSp4RMTE0lMTGTChAmcOHGC6dOns2bNGsaMGVPuv13mIamenrduFTt9+jRHjx5l5MiR5U7Encg2GLFKEoE3DT0N9NQQl+Vk+BwQ5e/FBz2aUDvIl3yjmZmHLjB64XYWDu9GqLe9tf2Nzg35dNNRek9bh0IuQ46M97o3pll4BTy0A/o8+wOfh7djT5mnVxD6vNJviAAZSWdZ/ONDWC1GVGpPeo36kYDQWm5La1nIdT7IFAqseTfdoPNyUIeE3Ta+KrImqrBIsuf/WnogpQqffg9hOLwLyVhBv1xATnYGAD439Wr6+AaQk5XhNE5eXjY2m7XE0FNf3wCS4+OK3s/9/Rtq1m1Es1J6YV1N5umFTK5AummIsFSQiyyoitM4Cv8g5NF1MR7bQ+7s71AEhKDrOxzkCgxbV5QIr67bFJnWk8IjO52czX3+KVOeN5cp70D0ubcuU/+QbDa2LfmcqtHNCKxaB4AqUU1QqT3Ytfxr2vYbC5LEzpXfINms6HNLr7j9W1n66/e+m4aeBuo8iEt33moYFejLh/e1p3aoP/mFZmbsPsGj01ax6NmBhPo4n+NS0Xx19gej3ALHB9TcAhu+XqU/NF1KNDNthYWUTCu+XnL6d/TkzUd8+eDXbIym4p6RLs213N9Nh1YtIyndwsQ5OVjdON1K6eeHTKnElOk4pNKcmYlHVJTTONl79hD28HByDx2mMD4e31YtCejW1a3Dm91NExqEMcWxnBlT0lH5eiPXalD5+yJXKjGmZtwUJgNdjPPGKlfK0hditUklev4CvT25nOa8UeXQ5USW7D/NgpeHOf08s0CP3mRm2pZDPH9va17u05adZ68yduZqpj45kBY1wl2eD2e8Pe2Nd/l6xx7CfIOE9y0e6RrXVBAWJOfHJaU30vZvp+JKiq1C5iz+I0tvwipJBNw0MixQpyUus+T0FoDqAd6M692SOsF+5BnNzNx/lkdnbeSvMb0Ivf6P8Mfe0yjkMh5qXrZGbFcr9TrpbUWfOdO0tpLwYDnfLijbc0/r+iqSM23EJVfcNRNc5/Tp06xZs4b9+/fTokULAH744Qf69OnDhAkTCAsr+UzdoEEDFi1aVPS+Zs2afPbZZ4wYMQKLxYJSWfalbMq9SuqNCgoKmDdvHr///jt79uyhfv36TJgw4bbxjEYjRqPjjUijcT6PyJUaVQ2gUdUAh/f3z9rEohNxPNu2HgDzjl3mRHIm3/ZrTVUfDw4lZPDlFvscxtaRIS5P07lDK9i6aFzR+76P/XLH5/ILjuaBV5ZgKszj4rG1bJr/Fvc9M7PSK43/hmfrLpgTr5a6QA5yBQGjXgKZjJyF09yalt1bV/Pnz58XvX/5vUlu+TuH923l9PEDfDRxtlvO7zIyGbaCXApWzABJwpp0BbmPHx7t7nVaYdQ07YD5/AmkvPIPhSiPMweWs3lBcZnq/+SUf33OLX99REbSee5/qXhOqadXAL0f/Y7NCz/kyPaZyGRy6jTrS3BEbKlzZCpL42ohNK4W4vB+8E9L+OvAWZ7r1qxS0tQ6VsPIPl5F77+ff2ffixMXi1vL41OtXErI5cvn/WlZT82Oo8W/M3tPGDl1yYSvl5x723jw9GAfxv+Zfdv5QRXp8oRvqPneuzT9ayFIEoUJCaQuX0HIgP63jyxUiAKjiXfnb2DckK74lzJf2Hb9ub9rbDQjOzYBoG5YMEevJLNwz0m3VRib1FIwuGNxb/wfa8o/VNRXJ6N/WxVTV5U+x7FedTk1w+R8t6j0CuV/RePwIBrf0ODfODyIIb+v5q8jF3muY0NOJWcy9+B55jxyT4Xdt5vVUfJAl+Jn3t9Wlr+h289LxqCOan5eVlime5hKAc3rKFm3v+KGD1e2ylz0prR6zr+p6+zevRs/P7+iyiJAjx49kMvl7N27l0GDBt0idrGcnBx8fHzKVVmEO6ww7ty5k99//50FCxZgMBh45ZVXmDZtGnXr1i1T/PHjx/PRRx85HBs3bhyvlWPUp5+HBoVMRobe8YJk6I0EeTqf+HwzlUJOTLAv8Tn2ScGFFis/7TrFhL6t6Bht71WpHeTL2bQcZh666JYKY1T9roRGFs/9tFrshdmQl4HOp/jv6fPTCQqrd8tzKZTq64veQHBEA1KvneD49hl0vv9jl6e7rGwFuUhWq3111BuOy719seZm3zKuTK3Bo2k78tYsdB5ArsB/1Eso/INIn/yp23sXm7Tq5LCSqcVsv1a52Rn4BRT/IOXmZFItuo7Tc3h7+yGXK8jNdux1yMnJxMff3gN2+tgB0pLjeW54V4cwP371BnXqNeGtz27R23qHJH0+ks2KzMtx1VyZzgcp3/mDvC0vB8lmdbgrW9OSkHv7gUIB1uJfMblvAKoa9cmb7/5h6zUadKPKDfN0/ylT+rwMdL43lKm8DILDb3/P2vLXx1w+tYUhL8zC28+xt7V63Q48+v4GDPmZyOVKNJ4+TH2/PT5BfUo527/n73n93lfg+H3PKDAQVMbFGlQKOTFVA7hWymiMinDkvInLU4t7cJQK+8Oaj05Ozv+xd9/hTVUPA8e/N2ma7t3SRWkL3cyy90Y2CCpTAVFxgYoLXLh+4t6iKCDIHjJFNiJ7byibQgvdK51pxn3/SGkJpEChaZH3fJ4nj+bm3JtzSM+9Z5+8sr8dF0cFCSn6O75uoVYmJdOAj7vypuOFWpnULCMXruTy/auexEbYsvekdQpQ+uxsZL0eWw/z0QQqDw90GZZHIOizszn92utItraoXF0pTkuj1tgX0V65apU4VgVtSjrqGuYjdNQ1vNDl5GIs0lKcnoVRr0ft43lDGE+0yXc2AuBeuDvYoVRIZOSZT2fIyC3Ay0I3XEJGDlezchk3a3XpMWPJPTB24hRWvDYMX1cnbBQKQn3Mf/sQH3cOxydZIRUmJy8ZSEgt6z2yKckCTg4SudfN63Wyl7iaYbk0HeAl4ewgMW5AWcFWqZAI8ZNpGaPk7elF1PFX4uEi8f5I87LW411tuZhs5Ne/rJOn3B1sUUoSmQVFZscz8osszku0RKVUEFHDjYQs07yvQ4lpZOYX0fOXskZOgyzz9T9HmLv/DH8/W/mNNScu6vkypewed+3e5+Qgobmul9HJQcHVdMu1wUBvBc4OCl4dVHbPVyokQv0VtKmv4vWf880qTA3q2KCygX2nxHDUqlBePef999+/62smJyfj42NeD7GxscHDw4Pk5PKHz18vPT2djz766JbDWMtzxxXG1NRUZs6cyYwZM8jJyWHIkCFs2bKFli1b8uSTT95xZRFg4sSJjB8/3uyYWq1GN+3dO76GSqkg0seVfQlpdKxtmstjLJlz+FiDO1up1WCUOZehoU0t03h4vcGI3iijuKGVSamQSh8Ilc3Wzglbu7JWdlmWcXD2JvHcLrwCTBXE4qI8Ui8fJablkApdW5aNpYXlamMwoEu8iG14XYqO7zcdkyTUYTHkb19/y1PtGjRHsrGhYL+FOW8llUUbb18yfvoIuaD8Sb+Vxd7eEXv7suF7sizj6u7JyaP7CAo1Lb9dWJDH+TPH6djd8mINNioVwbUjOXl0b+kWGUajkbij++jc8zEAeg0cQbuu/czOe/elwQx5cjwNm1qeR3zPDAb0Vy+hColCd+qw6ZgkoQqNpGjvPxZP0SWcQ12vuWnOYkn+UHrWwJibbVZZBFPvopyvQXf2qIUrVS6LecrFm4Szu/AONOUpbVEeKZeOUL91+XlKlmX+/fMjzh/bwMAXZ+PqWbPcsPZOpoJhwpldFORlEBrTqZJSczOVUkmUvyd7LyTRKdLUQGSUZfZeSGJwszu7DxuMRs6lZNHmunlbVU1bLJNabH5fzc4zEhVsS0KKqTJsZysRGmDDloN33hikVoGPu5Ldx24x51kCJLCxsV6PgqzXk3fqFK7NmpZteyFJuDZtSvKichrBrp1bXExxWhqSUolHp05kbLizBWbuR9m7D+Pdo53ZMa/OrcjafRgAWacj5+AJvDq1LNueQ5Lw7NiSS1PmWD1+KhslUQHe7DmXSKcY0xBYo1Fmz7lEBre6ea5piLc7S14ZbHbsp3V7yNcW80bftvi6OqGyURIT6EP8DUNaL6VnW3VLjWIdZOjM85SmQKaOv5KkDFOji1plWlVzd5zlisO5q0a+XmxeIXu0vS1pOUa2HNYjy/DPYR17T5k34ox/1I5Vu3TEXbbecEeVUkmUrzt7LqXQseTeZZRl9l5KYVDsnQ0nNRiNnEvLoXXJHPBeMcE0r2W+fcrzi7fSK6YW/epaZ9V/rQ60ZttlyGjyjYQHKrmabvr3U6ugVg0FO49b/p3OJhr4bJ55I8eQzmpSs4xsOqi7qXetebSKExcN5Jv/tA+06uxhLK+eY8mECRP47LPPbnm9uLjyF+C6UxqNhl69ehEdHX1XFdc7rjDWqlWLRx55hO+++46uXbuiuIc5FeV1y1a03WN4ozpM2nCQqBpuJdtqnKdQb6BvtGkPvPfWH8Db0Z6xrU2T0n/dc5p6vu7UdHM0jWU/eI5kTQH9Y0zhndQqGgd48t32E6htlPg523PgSgar4xJ4pe3Ne+RZgyRJ1G/7BAc2/YKrVzAuHgHsXfc9Di4+hMR0KQ23cupIQup2oV5r0+p5u//+iqDIdji5+aHT5nP20F9cvbCX3k9NKz2nQJNGQW46OemXAchIOoOt2hEndz/sHNyslqa8LatxH/ocuoQLpdtqSLZqCvaYClFuQ5/DkJNF7uoFZuc5tOhI0bH9N1cGFUrcR76MbWAIGdM+B4UChbNporqxIO+myoq1SJJE1z5DWLV4OjX8a+LlE8CyeT/j7uFtNvfw83efI7ZFB7r0Ms136dZvGNO+e5/gOtGEhsWwftU8tEWFtOlsasl0dfeyuNCNp5cv3jWsN/elaNcGnB5+EsPVS+ivXMSuRRcklRrtIdOcQ6eHn8SoyaZg01IAtPu2YNesEw7dB1O0dzNKDx/s2/aiaM8Ne7JJEuqGrdEe2XXzfgdVQJIkGrZ7gn3rf8bNuxYuHoHs/vs7HF19CK1XlqeW/jSC2vW70qCtKU9tWfIBpw/8Re+npqBSO5JfMi9RbeeMja2pNfvknj9xr1EbeycPkuMPsXXpJzRqP9Jsr0ZreLxFDO8u30a0vxd1A7yYu/skhTo9/RqaCk3vLNuGj7MD47o0BmDqv4epF+hNkIcLuUXFzNp5nKScfB6OLesJzynUkpSTR1quqXJ2Kd00J8i0smDVrOy4cW8hvVrbk5JpID3bQP/2DmTnGjl0uqzh69WhLhw8U8w/+00ln0c7O3DkbDEZOUbcnBT0a+eA0Qh7TpoqjF5uCppGqzl5oZjcAhl3ZwU9Wtmj08kcO2fdBrWrc+cR9v4k8k7GkXfiBH5Dh6C0tyd1lak3o84H71Ocmsbln0zbUzjFxGDr40P+mTPYentT85lnkCQFV/74o/SaCnt77GqWNV6oA/xxCA9Hn5NDcUqKVdMDpm01HOuU7TPrEBKIS4NIijNzKEpIIuLj8dgF1ODIqDcBuPTrAmo9P4zIya+TMPNPvDq2wO/RHuzrO6b0Ghe//Z0GMz4j+8BxcvYdJXjcCGwc7UmYtdTq6QF4vG1D3l20iZhAH+oG+jBn+xEKdXr6NzE1ML29cCM+Lo681KMlapUNYTfsT+psbyrPXH98RPtGvDFvHY1D/GlaO4AdZy6zNS6eac/0r5I0XbP9mJ5OsTaka4xkaWS6NVWhKZA5EV/2nHy6ly3H4w3sOmGgWAcpWeYl7WK9TEFR2fG8Qm5aiRhM2zhk5Vq3lD68SQTv/b2HaF+Pkm01TpvufSV7Zb+zejc+Tg6Ma28auTV1xwnq+3tS093JdO/be5okTQEP1zfdo93s1bjZm5dHbRQSXo52BHtWzT7VAP8e0dG1iS1p2UYyc03bamjyZY5dKKuYP9fPjmMXDGw/pkOrg+RM8+dpsR7yi+Sbjnu5mnoef1v1/6i2WM0qMvz01VdfZeTIkbcMExoaiq+vL6mpqWbH9Xo9mZmZ+PpaXmvimtzcXLp3746zszPLli1Dpbr1QnKWVKjCuH37doKCgqhVq1aFehStpVt4AFmFWn7ZfYqMfC3h3i780K9F6VYZybmFZmPSc7XFfLz5MBn5WlzsVET6uDHj0baEXndT+KR7E37ceZJ31h1AU1SMr4sDz7eM4pF6wVWWroYdnkJXXMi/S96juEiDb3Bjej/1m9l+cZqMyxTll7VeFuZlsnnBm+Rr0rC1c8bTL4LeT02jZnjr0jAndi9g/4ayfbNW/GwqGHd87BMimw6wWnqKDu8mx8kF5+6PoHRxQ3flEhlTP8VYMtRR6e51U1OQ0tsPdWgkGdfNGSz9zNUd+3qmMdw+r5u3yqT/+CHF5++9JeZO9Xx4BMVFRcyc8gkF+bmERzVk/Hvfm+3BmJqcSN51w2+bt+lGbk4Wy+f/Qk5WBkEh4Yyf9AOuVbgliCXFJ/ZR4OiEfcd+KJxc0CcnkDvnW+R8U8VB4eqJfN3vZNRkkTv7Gxy6D8LtufcxarIo2rORwu1rzK6rCo1C6eZJURWvjnq9xp2fRl9cyOaF76Et1OAf2ph+Y6aZ5amc9AQK88ry1LEd8wFY+qP5Ql5dhkwmurkpv2SlXmTnX19TVJCDi0cATbo+S6MOI62enofqhpBVUMTPWw6RnldIhK8HU4Z1Ld0qIyknz2yxWk1hMR+t2kl6XiEudrZE+Xsx68me1PZ2Kw2z5fRlJq0oW5DozT9NDTpj2jfguQ7WX60SYO2uQtQqiSd6OuFgJ3E2Qce3C3LM5uh4uytxti9rsHR3VvJMf2cc7RXkFhg5l6Dnk5nZpQtI6PQQXlNF16b2ONhLaPKNnLmsY/KsHHILrFu4zdiwAZW7G0HPjkHl6Un+mTOcHDsOXclCOGpf37IJb4BCrSbouWexCwjAUFhI1o4dnH3vPQzXLZvuFB1F3all83JDSlqxU1f9xbkbhkBZg2vjurTcNLv0ffSXbwGQ8MdSjo6eiNrPG/uaZSv4FsYnsq/vGKK/mkjw2CcoSkzm2Jh3SvdgBEhavAZbbw/CJ41D7euN5kgce3s/RXGq5aG7la17gzCy8guZsn4P6bkFRPh7MeXJ3niWDElNzs69aeTR7XSuG8o7D7dnxj8H+WzlNoK93fhqeHdiQ26/2Ftl+veIHlsbGNjWFjtbiE82MmNNsVme8nCRcLS7v+Zdl+ehqCCyCrX8vP04GflFRPi48dOj7UuHpCZrCsx+q9yiYj5ct4+M/CLTva+GOzOHda6W1VBvZfNBHbY2Eo91VGOvlriYZGDqqkKz38nLVYGjfcUbXZtFqcjJkzn9/2zvRWM19jBWhLe3N97et5+T17JlS7Kzszlw4ACNG5sagzdv3ozRaKR58+blnqfRaHjooYdQq9WsXLnSbGvEipBk+c47ba/NXVy8eDHh4eEMHz6cN954g6NHjxIVdev5dXci76c37vka9xOnFz7n25X/kb/YO/RyX4mrr1RsaOz9zv+b+eyMq765XNbQKsqZjPefqu5oVCrP96fx05rbh/uveaEHFM6bXN3RqFT2Qyfy1P+sP/+sKk1724udTZpWdzQqVav9+1itiqjuaFSqXrrTFC3/vrqjUans+o/jzV+rbgXwqvDZM/YUTK+aPYarksPoD3nlR+tPkalK37zodPtA96E526qv/D28rXUaYHr06EFKSgq//PILOp2OUaNG0aRJE+bNMy3Id+XKFTp37swff/xBs2bN0Gg0dOvWjYKCApYtW4ajY9m0Km9vb5TKW+/Her0KjStt3bo1M2bMICkpiWeffZbFixdjMBh4/vnn+e2330hLs95S8oIgCIIgCIIgCP8fzZ07l8jISDp37kzPnj1p06YNv/5athCiTqfj9OnTFBSY5rcePHiQPXv2cOzYMerUqYOfn1/pKyEhoULffccVxg8//LA0Ak5OTjz99NPs3LmTEydO0LhxY9555x2Le4AIgiAIgiAIgiBUFVmWqu1lLR4eHsybN4/c3FxycnKYMWMGTk5lPcDBwcHIskyHDh0A6NChA7IsW3wFl7MfcHnuuML4wQcfkJd3czd7VFQUX375JVeuXGHhwoUV+nJBEARBEARBEATh/nXHi97cbqqjjY0NAwZYb+EUQRAEQRAEQRCE26nObTUeRBWawyhVcJUwQRAEQRAEQRAE4b/rjnsYAcLDw29bacwsWS5cEARBEARBEARB+G+rUIXxgw8+wNX1/tq7RhAEQRAEQRAE4Zr/yj6M/xUVqjAOHjwYHx8fa8VFEARBEARBEARBuI/ccYVRzF8UBEEQBEEQBOF+Jxa9qVx3vOjN7VZJFQRBEARBEARBEB4sd9zDaDQarRkPQRAEQRAEQRCEeyb6uSpXhbbVEARBEARBEARBEP7/EBVGQRAEQRAEQRAEwaIKrZIqCIIgCIIgCIJwPxPbalSuCvcw6vV6vvjiC2JjY3FycsLJyYnY2Fi+/PJLdDqdNeIoCIIgCIIgCIIgVIMK9TAWFhbStWtXdu3aRZcuXWjXrh0AcXFxvPnmm6xcuZL169djZ2dnlcgKgiAIgiAIgiDcilj0pnJVqML46aefkpCQwKFDh6hfv77ZZ0eOHKFv3758+umnvP/++5UZR0EQBEEQBEEQBKEaSHIFNliMiIjgk08+YeDAgRY/X7x4MW+//TZnzpyptAgKgiAIgiAIgiDcqd82Vt93P92l+r7bWirUw3jp0iWaNWtW7uctWrTg8uXLdx2Z3P1r7/rc+5Fzk+58MOfBmtc5abiKws2zqzsalcq+0+P8ffDB+p16xqpIPnWouqNRqXwjGzF5kaG6o1HpJj6mJPvQ5uqORqVya9SJmVuqOxaVa2QHKFr6XXVHo1LZDXiJouXfV3c0KpVd/3GsVkVUdzQqVS/daRbvfrD2wn60hYLCf+ZWdzQqnX3HYTz3RXZ1R6NS/fy6W3VH4a6I7eMrV4UWvXFxcSE1NbXcz5OTk3F2dr7nSAmCIAiCIAiCIAjVr0IVxo4dO/LJJ5+U+/mnn35Kx44d7zlSgiAIgiAIgiAId0OWq+/1IKrQkNRJkybRvHlzWrRowfjx44mMjESWZeLi4vjmm284efIku3fvtlZcBUEQBEEQBEEQhCpUoQpjdHQ0GzZsYPTo0QwePBhJkgCQZZnIyEjWr19PTEyMVSIqCIIgCIIgCIJwOw9qT191qVCFEUwL25w4cYJDhw5x9uxZAMLDw2nYsGFlx00QBEEQBEEQBEGoRhWuMF7TqFEjGjVqVJlxEQRBEARBEARBEO4jFaowjh8//o7Cff3113cVGUEQBEEQBEEQhHthFENSK1WFKowHDx4snbdYntt9LgiCIAiCIAiCIPw3VKjCuGXLFitFQxAEQRAEQRAE4d7J1brqzYPXeVahfRhDQ0PJyMiwVlwEQRAEQRAEQRCE+0iFKozx8fEYDAZrxUUQBEEQBEEQBEG4j9z1KqmCIAiCIAiCIAj3G7EPY+WqcIVx3bp1uLq63jJM37597zpCgiAIgiAIgiAIwv2hwhXGESNG3PJzSZLEsFVBEARBEARBEKqF0VjdMXiwVLjCmJycjI+PjzXiclcWrd/G7NWbycjREBYUwOsjBlK3di2LYZdt3snq7fs4n5AEQFRITZ4f1NssfEaOhh/mr2L3sVPkFhQSG1mb10cMJMi3atPcob6C2DAFdipISJNZvddAZm754ZuEKWgSrsDN0fQ+NUdm6zEj566W9cm7O0HXWCVBPhI2CjiXJLNmn4H8IisnBliwZT+zNuwiQ5NHeGAN3hz0EPWCAyyG3XToFNPX7uByWiZ6g5EgHw+e6NKc3s3rl4YpKCrmu+Wb+efIaXLyCwnwdGNIx6Y82q6x9RNzHVmWWbvkJ3ZtXkJRfi7BEY149Ml38faz/DcIcD5uP5v/+p3ECyfRZKfx5PjvqNe0c+nnBr2Ovxf9QNzhbWSkJmJn70R4vRb0HvwKrh7W/TtctnodC5avIjMrh9rBQbz0zCiiwutYDHvxcgIz5i3mzPkLJKem8+LoJ3i0b0+zMAUFhUyft4htu/eRlZNDWEgwY58eSVRYbaumw5K2MRINQyXUKkjMgHUHjGTllR++UW2J2NoSriV5Kj0Htp80ciHZPFyAJ7Srq8Df0zQEJiUbFm41ordyu9nidVuYu2pDyb0vkFdHDSKmTrDFsMs3befvrbu5kHgVgMiQIJ4b3P+m8BevJPHTvGUcPHkWg9FISIAfn45/Bl8vD+smpoQsy2xb9T2Hty1GW6ghsHYsDw19H48aweWes3PNVE4fWk9m8gVsbO0ICG1ExwGv4ekbWhpmzZz3iI/bSV5OKiq1A4G1r4Wx/t/hgl3HmLX1MOl5BYT7ejKhb1vq1axx2/PWHDnLhAUb6BgdwreP9zD77EJqJt+u3c2BC1fRG43U9nHnq+Hd8XNztlYyzCzYeYxZWw+RnltAuJ8nE/q1u7M0HT7LhPnrTWkaYX6vuJCSybdrdpWlqYaHKU3u1k+TR5smhL46GtfYutj5+7B/4POkrNx063PaNSP6ywk4RYdRlJDEuck/k/jHMrMwtZ4bSuj40ah9vdEcPcWJlz8iZ98xayblJrIss2nZD+zfspiiglyCwhrRd8QkvHyDyz3n4ql9bF8zg6vxJ8jNTmPouB+IbtzFLIy2KJ/1i74m7uAmCvKycfcOpGXX4TTrNNjKKYIFW/Yxa/3O68oTPagXUl55Io7pa7bfUJ5oSe8WZeWJhs9+aPHclwd0YWS3VlZJgyW9W9vRpr4t9mqJC1f1zFtfSFp2+bWeXq3s6N3azuxYcoaBD2aUFRbb1LelaZQtNWsosVdLjP8+h0KtGKspVFyFFr253/ZYXL/rIN/MXcbTAx5izsevEx7kz9hPfyYzx3LN6kDcOR5qGcsvb7/I7x+8Qg1PN1789GdSM7MB0431ta+ncyU1g6/GP8Xc/72Or5cHz38yhcIibZWlq3W0guaRClbvMTBtrZ5iPQzvZIPyFr+WpkBm4yEDv67R8+saPfHJMoPbK/EuGT2sUsLwzqb2gT826pmxXo9SAUM6KK2ennX7T/DVnxsY06st8996ivDAGjz//XwyNfkWw7s42vFUj9b88fooFr/zNP1aNmDSH6vYefJ8aZgv/9zAzpPn+d+ofiyd9CxDOzXj04Vr2XLkjNXTc73Nq2awde1cHh39Hi9/NA+12p5fPh2Drrj8v5dibSEBQREMfPJty58XF5F48SRdHx7Dq58sYtT4b0m9Gs+0L1+0VjIA2LxtJz/NmM2IQY/w29eTqR1Si9fen0xWdo7F8EXaYvxr+PDM40PxcHezGObzH6ey//Ax3n7lBX7//guaNqrPq+99TFpGphVTcrMWkRJNwiTWHjAya5MRnR4GtVPcMk/lFshsOWrk9w1GZm4wEp8q80hrBV4uZWECPOGxtgoupsjM2mhk5kYjB87KVp87sWHnfr6b/SejH+nFrMlvUadWIC9N/p7MHI3F8AdPnqFb66ZMefcVpn34Bj6eHoz75PvSex9AYnIaz0z6ilr+vvz83njmfvYOTw7oga2q6qa67173G/s3z6b7sPcZMWERKrU9C78fjV5Xfn66fGYvjTsM44kJixj80u8YDXoWfDeaYm1BaRjfoBh6jZjM0+//zeCXpiPLMgu+HY3RaN1a/dqjZ/ly9Q7GdG7CghcfJcLPi+dm/EVGXsEtz7uSpeHrv3cSG+x302cJGTmM/GUZId5uTHumH0teGsQznZpga2P9eznA2iNn+fKv7Yzp3JQF4x4zpWn6qtunKVPD16t3EBtSXpqWEuLjzrQx/VnyymCe6dwEW1XVpEnp6IDm6GmOj/vgjsLbBwfSdOVUMrbsYXuTflz8YRb1pn6MV9c2pWH8Hu1B1BcTOfvxT2xv9jC5R0/RfPV0bL2rpvHlmm1/T2P3hjn0G/k+z763EFu1A7O+fPqWzyidthDfmhH0efzdcsOsmfcZZ49t55Exn/PS5NW06vYEf83+mLiDm62RjFLr9p/gqyXrGdO7PfPfeobwQF+e/2Fu+eUJB3ue6tGWP954ksXvjqFfy4ZM+mMFO0+cKw2z8bPxZq/3n+iLJEGXRlFWTcv1ujVT0zFWzbwNBXw+NxdtMYx71JHbZeuraQbenJJT+vpyvnkrqK1K4sRFHWt3V0HPwH1Glqvv9SCqUIXxTvY0OX78+F1HpqLmrtlC/46t6Nu+BaGBvkx88jHs1Las/He3xfAfv/AEj3ZtS0RwIMH+NXjn6SHIRiN7T5gqGZeT0zh2Lp4JTz5KTO1aBPvXYOKoR9HqdKzbdbDK0tU8SsHWY0ZOJ8qkZsPynQacHSCyZvkV9jNXZM5dlcnMhcxc2HzESLEeAr1M59T0kXBzhOW7DKRmU3pdf0+JEF/rNgTM3rSHAa0b0b9VQ2r7efPOkJ7Y2apYvuuwxfBNw4Pp1DCSUD8vanp7MKxTM8ICanDoXEJpmCPnE+nToj5Nw4MJ8HTjkbaxhAfU4Hj8Faum5XqyLPPvmtl0e/gZ6jXphH+tCIY+/wmarFSO7S+/dTqqYVt6DhpH/aZdLH5u7+DMc29Po1HL7vj4hxAc1oCBo94i8eJJstKTrJUcFq1YTe9unejZpQPBQYG8+txT2Klt+XvjFsvpCKvNc6OG07ldK4uVCq22mK279vLsyKE0iIki0M+XUUMeJcDPlxVrNlgtHZY0DZPYESdz9iqk5cBfe40420N4QPl/++eS4HwyZOVBZh5sPS5TrAd/z7JzOjdUcOCczO5TMukaU947lShjsPJQmPmrN9GvU2v6dGhFaKAfE54agp2tLau27LIY/sOxT/JIt/aEB9ckOMCXt8cMxyjL7D9+qjTMzwtX0KphDGOHDSAipCaBvt60a9IAD1cXi9esbLIss2/TH7Tu+RzhDbvgExhJ71Gfk5udypnDG8s9b/BL06nfagDe/mHUqBlJ75Gfosm8SvKlE6VhGrUbRFB4U9y8AvENiqF9v5fRZCWRk2Hd+8XsbUcY0DSa/k2iqF3Dg3f6t8fO1obl+0+Ve47BaOSthRt5rktTAj1u/rf/Yf0e2kTU4pUerYjy96ampysdokPwdHKwZlJKzd52mAHNYujftCRND3fATmXD8n1x5Z5jMBp5a8EGnuvajECPm9dA+GHtblOaerYiKqDq05S2bitnJn1Lyory/86uV+uZwRReTCTujc/IO3WBS1PmkvznOkJeGlkaJuTlUSRMX0TirKXkxZ3n2POTMBQUUXPkQCul4mayLLNz3R906PMsUbGd8Q2K4JFnPiU3O5W4g+WnNbxBO7o+8jLRTbqWG+byuUM0atOP0KhmuHsH0LTjY/jWjCDxwlFrJKXU7I27GNA61lSe8PfmnaG9sFOpWL7zkMXwTSOC6dQoklA/b1N5onNzU3nifFl5wsvVyey15chpmoYHE+jtbtW0XK9TYzVrdhdx9JyeK2lGZv6dj6uTgoZhqlueZ5BBky+XvvILzcvpmw9oWb9Xy8UkMVVMuDcVqjCOGDECe3v7m47n5uby66+/0qxZMxo0aFBpkbsVnV7PqYsJNK8bXnpMoVDQrG44R8/G39E1irTF6A1GXB1NDyWdTg+AWlWWQRUKBbY2Nhw+faHyIn8Lbk7gbC9xIbmsxKnVQWK6TE3vO6vYSRLE1JJQ2UBCuunmYVPyS18/vVRvMLWEBPlYr8Ko0xuIu5xE88iQ0mMKhUTzyGCOXrh9YU2WZfacukh8SgaxYUGlxxvUDmTL0TOkZGtMBc3T8VxKzaRldOgtrla5MlITyc1OJ7xuy9Jj9g7O1Kpdn/izRyr1uwoL8pAkCXsH6wzP0un0nDl/kcYN6pUeUygUNG5QjxOn767X1mAwYDAasVWZP/DUtrYciyu/wFzZ3BzByV4iPqXsQarVwdUMUw/hnZAkiKppylNXMkzXcVBDgKdEfhE83knBuL4KhnVQEOhljVSUMd37LtOsXmTpMYVCQdN6kRw7c2f3qSJtMQa9ARdH03hbo9HIzkPHCfKrwbhPvqf7M6/z5Nuf8e++w9ZIgkXZ6Ynka9IIjiobAmZn74x/SAOuXLBcGLSkqNA0wsTe0fLibMXaAo7uXIqbVyAu7r73Fulb0OkNxF1No0WdwNJjCoVEi9qBHL2cXO55Uzftx93RngFNo2/6zGiU2XbqErW83Hh2xio6fPw7w35awuYTVfN80ukNxF1Jo0XYDWmqc5s0bdyHu5M9A5rdJk3TVtLhwxkM+3FxlaXpbri1aEj6ZvPGmbQN23Fv0RAASaXCNTaG9E07ywLIMumbd+LWolGVxTMrLZG8nHRqx5Q9o+wcnAkMrU/CuXt7RgXVacSpQ/+gyUxBlmUuxO0hPSWeOnVb32u0y1Vanoi6oTwRFcLRC4m3Pd9UnrhgKk/UCbIYJkOTx/ZjZ+nfuup+Jy9XBa5OCk5d0pceKyqGi0kGQvxvPcLDx03B5Odc+OhpZ0b1csDd+f4aCSg8OCo01uj33383e79161amT5/On3/+ib+/PwMGDOCnn36q1AiWJzs3H4PRiIereQHaw8WZ+Kupd3SNHxasxMvdhWZ1IwAI9q+Br6c7Py5cxVujB2GvtmXumi2kZGaTnm15qFdlc7IzZfYb5xXmF4Gj3a1vBD5uMPohG2yUUKyHhf8aSC8ZTZiYbuod6dJIwabDRiRM/69QSDjf3AZQabLyCjAYZTxdHM2Oe7o4EZ+SUe55uYVFdJv4HTqdAYVC4q0hPWgZVVYZnPDYQ3w4dzUPTfweG4UCSSHx3rBeNA4rf+5gZcvNSQfAydW81uHk6kludnqlfY+uWMtf87+hUaue2Dk4Vdp1r5ej0WAwGnF3My9ku7u5cjnx7nphHBzsiYkI449FS6kVGIC7mxubtu3gxOkzBPhar6B+I8eSKR435SmtXPpZebxd4YlOitI8tXSHkYySW8G1+cJtYyQ2HZFJzZapGywxpL2CaetuPT/yXmRr8krufea9Tx6uLly6knJH1/hp3jK83F1pWlLpzNLkUlCk5Y+V63j2sb68OPRhdh05yZtf/8qUd18mNjr8Nle8d/maNAAcXczzk6OLJ/k5d5afZKORjYs+IbB2LN4B5nE+sGUu/yz9Ep22AI8aIQx++XeUNraVE3kLsgqKTPe+G3rJPJ3tuZiWZfGcg/FJLNsfx6Jxj1n8PDO/kIJiHTP+PciL3ZrzcveW7DhzmfFz1zLtqX40CbU8j6uylJ8mh/LTdPEqy/bFsejlQRY/z8wvMKVpy0FefKg5L/dsyY7Tlxk/ew3Tnulv9TTdDXUNL7Qp5n+T2pR0VK7OKOzUqNxdUdjYoE3NuCFMBo4RVdeomVfeM8rFi9yctHu6du/H32H57+/x+SsdUChtkCSJ/qM+JCSy6T1d91bKLU84OxKfXP49IrewiG4TvrmuPNGTltGW5y+v3HUEBztbOlfhcFQXR1PZTpNvPjQlN99Y+pkl8Ul6/lhjICXLgIujgl6t7Hh1iDMf/a5Bq7NqlP8TjA/o0NDqcleL3sycOZPp06ej0Wh47LHH0Gq1LF++nOjom1sPLdFqtWi15uPn1Wp1RaNyT2au3MD6XYeY+s6LqG1NPSA2Nkq+eGU0H/06n07PTERZ0mPZqkEUWOkPr16wRO/mZYPU5/1z98MG0jXwy2o9drYQHaSgfyslMzfoSc+BAi0s3magVzMlzSMVyDIci5e5mmH9+VZ3w1GtZuFbT1OgLWbv6Xi+XLKBAC83moYHAzB/yz6OXbzCd889hp+HKwfPXWbygrV4uzrRIso6D+QD2/9i0bSyOS5PvzHFKt9zPYNex6zvXkWWZR59svz5JPert195gc9+mMrAJ59HqVAQVjuEzm1bc/q89XoPYoIkujcue8gu2n7340MzcmHGBiNqFUQESvRupmDOFlOl8dqU7kMXZI7FmzJRymGZYB+J+iES/x67DzMWMGvFOjbs3M+U914pvfcZS56s7RrXZ0gv0wJM4cE1OXbmPEs3brNKhfH4npWsnTup9P1jL06952uum/8B6VfPMvz1eTd9FtO8LyFRrcnLSWPPhuks//VlHn9jPjaqqn32lCdfW8zbizYyaUAH3B0tt+IZS27WHaNDeLyNaTRPpL8XRy4ns3jPifuucpWvLebthRuZNLDjLdJk+m/HmBAeb9sQgEh/b45cSmbx7vsvTfezwztXsXLm+6XvHx//s9W+a/eGOSSeP8Lwl6fg5ulP/On9rJr9Ec7uPtSJqbqFYu6Eo1rNwrfHmMoTpy7y5ZL1BHi50zQi+KawK3YepmezeqitOHe7aZSKod3KGl2m/Hl3rYsnLpb1SF5JMxKflM//xrjQONKWnceK7zmegnC9CuWIPn36sHXrVnr16sW3335L9+7dUSqV/PLLLxX60smTJ/PBB+aTyydNmsSrvVvc8TXcnB1RKhQ3LXCTqcnF0/XWw/Zmr97MzFWbmDLxecKCzB9GUSE1mTf5DfIKCtHpDbi7ODHiva+JDql5x3GriNOJMonpZZn+2gRnRzvIKywL52gHKVm3LoAajZT2aiRlGvH3lGgRqeCvPaYC84UkmR9W6LFXm8JqdfDqQBtOXKrUJJlxd3JAqZDIuGFCeoYmDy+X8nvLFAqJIB/T4gCRNX25mJTOjLU7aRoeTFGxjh9W/MPXYx6lXb0wAMIDa3A6IYU/Nu62WoUxpnFHXqtTtrKaXme6IeflZODq7l16PC8nA//giHv+vmuVxaz0qzz/zgyr9S4CuLq4oFQoblrgJis7p9wFbe5EgJ8v338yicKiIgoKCvH0cOf9z7/Fv8btV1S8W2evylzNLMsr1xa2cbQz72V0VEukZN95nkrOkvHzkGgaJrH2gExeybXSzf/JSNfIuFpx6pWbi1PJvc981ENmjgYPt1vPN5yzagN/rFjHj2+/RFitsmGFbi5OKJUKQgLNFyQJ9vfjyOlzN16mUoQ16IR/SNkUBoPelJ/yNRk4uZatBpyvyaBGzcibzr/Ruvkfcu7YFoa/NsfiUFM7e2fs7J3xqBFMQGgDvnmlGacPbSCmWe97T4wF7g52pnvfDYvBZOQW4uV88x9IQoaGq1m5jPvj79Jj1yqIsW//zIrxQ/F1dcJGoSDUx3xuVYi3O4cvWW9+8zXlp6mgnDTlmNI0a3XpsdI0TZzCiteGXZcm88VgQnzcORxv/TTdDW1KOuoa5mPP1TW80OXkYizSUpyehVGvR+3jeUMYT7S36Am7V1GNOlGztuVnlLNbWZ7K06TjF3T3PWi64iI2LPmWoeO+J6JhBwB8gyJIuhzHjjW/W63CWG55Ije/YuWJ5HRmrNt+U4Xx4NlLxKdk8NnT1p1nevScjviksrLrtXKfi6MCTX5Zp4Gzo4LE1DvvRCjUyqRkGvB2q9BsswfW/dgZ8l9Wob+qNWvWMHr0aD744AN69eqFUnl3K5hNnDiRnJwcs9fEiRMrdA2VjQ2RITVLF6wB0zycfcfPUD8suNzzZq3axLRl6/jhjWeJDrU8hh3AycEedxcnLienEnfhMu0b1ys37L0o1psKpNdeaTmQWygT6lv209iqTIvXJKRV7K9fkkCpuHk4Q6HWVFkMriHhaAenE623QofKRklUkB97T18sPWY0yuw9HU/9CrQcG2WZYr2pYq03GNEbjChuWLVXoZBKCyPWYGfviLdvUOnLN7A2zm5enDletshSUUEel84fJTjs3ubyXqsspiVf5rm3p+Ho7HaPsb81lcqG8NohHDhatmiV0Wjk4NHjxETce++SvZ0dnh7u5Oblse/wUVo3t972JzfmqXQN5BWaev6usbUBf0+4Uv6oaIskyiqgOfmmlVQ9b6ijeThL5Nx6wch7Yrr3BbHv+OnSY6Z732nqhZffWDJ75XpmLP2bbye+SNQNWw+pbGyIDg3m0lXzIa2Xk1OstqWG2s4JD59apS8vvzo4ungTf6psbpi2MI+rF48QEFr+fCJZllk3/0POHN7A0Fdm4eZ1+8Y900p2cmkl1RpUNkqi/L3Zc75sSLfRKLPnfCL1g26u0IZ4u7HkpUEsHPtY6atDVAhNQwNYOPYxfF2dUNkoiQn0Jj4t2+zcS+nZVbKlhspGSVSAN3vOlc0XMxpl9pwrL03uLHllMAtfGlT6Kk3TS4OuS5MP8TcMab2Unl0lW2rcjezdh/HsZN7A7dW5FVm7DwMg63TkHDyBV6eyuYNIEp4dW5K9+87n41aU2t4Rzxq1Sl8+AXVwcvXi/MnrnlGFeSReOErNOnf/jDIY9BgMOiTJvAgpKZQYrbj5XWl54tQN5YlTF6kfGniLM80ZZZli3c0VsWU7DhMd5EdEoHWnTGh1kJZtLH0lZRjJyTMSEVTWh2NnCyF+Si5e1d/iSubUKvB2U9w0tFUQKkOFehi3b9/O9OnTady4MVFRUTz++OMMHlzxPXfUarXFIagVfXQP69GB96fOJTokiJjaQcxb+y+F2mL6tG8OwHs/z8HH3ZUXB/cBYOaqjUxd8jcfv/AEft4epfMSHezUONiZ4rNxzyHcnJ3w9XLn3OUkvpq9lPZN6tGi/u1buCvLnjgjbesqyMiVyc6T6dhASW4BnEooqww93lnJqQSZfWdMN4bODRWcvSqTky+jVkG9YAXBNSTmbCq7KTYMlUjTQEGRTKC3RPcmSnbHlc3JspbHOzfn3VkriQ7yo25wAHM376FQq6NfS9MD652ZK/Bxc2Zc/04ATF+7g+haftT0cqdYb2D7iXOs3nOMt4aY9iJzslfTOCyIb5ZuQm1rg7+HK/vPXuavPcd4dWD5q7pVNkmSaN/jcTYs/xVv31p4+ASwZvGPuLj7UK9J2b6KUz4eTb2mnWn70FAAtEUFpCdfLv08I+0KV+JP4eDkiruXHwa9jpnfjifx4kmeeuMnjEYjmpI5kQ5OrtjY3HrVtLv1WL9eTP7uZyLrhBIZVoclq/6msEhLjy7tAfjfNz/h7enBM08MAUwL5cQnJJb8v4H0jEzOXojH3t6OQD/TA3fvwSPIyAQF+JOYlMwvM+cSFOBPz84drJKG8uw7K9MqWiIzTyYn37RvYm6haXXha4a0V3DmisyBc6Zj7etJXEiS0RSYGm2igyRq+cCCrWXn7Dkt0ybG1FOZmm0aYu7pDMt2Wrdpc0ivznz48yyiQoOIrhPMgr83U6TV0ru9qYD6/k8z8fZw44Uh/QH4Y8U6fl38Fx+OHYW/tycZJT3J9nZqHOxMEzmH9+nK299No1FUGI1jwtl9+CTbDxxjynuvWDUt10iSRNPOT7Dz75/x8KmFq1cgW1d8h7ObD+ENy1YUnvf1CMIbdaVJx+GAaRjqyb1/8cjzU7C1cySvZG6W2t4Zla0dWWkJxO3/m5Do1jg4e5Cblcyutb9iY2tH7brtrZqmx9s24N3Fm4kJ8KZuTR/m7DhKYbGe/o1Nz5O3F23Ex8WRl7q3RK2yIczXvEfK2c40x/L64yPaNeKN+etpHOJP09AAdpy5zNZT8Ux7ur9V01KWpoa8u2gTMYE+1A30Yc72IxTq9PRvYuqxenthSZp6lJMme/XNaWrfiDfmrTOlqXZJmuLimfZM1aRJ6eiA43WLoDiEBOLSIJLizByKEpKI+Hg8dgE1ODLqTQAu/bqAWs8PI3Ly6yTM/BOvji3we7QH+/qOKb3GxW9/p8GMz8g+cJycfUcJHjcCG0d7EmYtrZI0gSlPtXroCbas/AXPGrVw9w5k09LvcXbzISq2LE/N+GwU0bFdaNF1GGDaYzEzpewZlZWWSNKlOOydXHHz9MfO3ongyKasXfgFNrZ2uHn5E39qH4d3rKDHkDetmqbHu7Tk3ZnLia7lT91gf1N5olhHv1YNAXjn9+Wm8sTDpmfw9LXbiQ7yo6a3B8V6PduPn2P17qO8NdR8H9C8Qi0bDp7k1Ueqrgxxvc0HtPRsqSYty0B6jpE+bezJyTNy+GzZZMSXHnPk8Fkd/x4ylZYHdLDj2DkdGRoZNyeJ3q3tMMqwL67sHBdHCRdHBT4lvY4BXgqKdJCpMVJQJLrghDtXoQpjixYtaNGiBd9++y0LFy5kxowZjB8/HqPRyIYNG6hZsybOzlXXItitZSxZuXn8suRvMnI0hNcK5Ic3n8WzZDGI5Iwss16oPzfuQKc38OZ35ov3PD2gO2MGmioj6VkavpmznIycXLzcXOjVtilPPfxQlaUJYMdJIyob6NNciZ0tXE6VmbNZb7ZUv4ezhINdWWZ3tJN4uJUCJ3tT61VKlsycTQYuJJeF8XSR6NxIgb0tZOfDtuNGdsdZvyXqoSYxZOUV8PNf/5KuyScisAZTxg7Bs2QISVJmjtken4XaYj6Zv4bU7FzUKhuCfb3436h+PNQkpjTMZ6MH8P2Kzbw1YwWagkL8PFx5sW8HHm0Xa/X0XK9Tnycp1hayaNr7FBbkEhIRy5gJv6CyLWsQSU9JID+3rPU84cJxfvroydL3K2Z/DkDTdv0Y+tz/yMlK5fiBfwD4csIjZt/3wrszqBPdzDppaduKbI2GGfMWk5mVTZ2QWnwxaQIebm4ApKano7iuxzo9M5OnXplQ+n7B8r9YsPwvGtaN4rv/meam5RUU8Nvs+aSlZ+Ls7ET7ls14avhgbGyqbm8/gN2nZFRK6NFYgZ0tJKTDoq1Gszzl5gT217VjOaqhd3MFTnamPJWaAwu2Gom/rhNu31kZpRK6NDRdNzXbFCbb8pZglaZrqyZka/L4dfFfZGSb7n3fThiLZ8mQ1JT0TLN739INW9Hp9Uz85jez6zw1sBdPP2oaktmhWUPefGoos1as5euZiwjyr8Hk8c/QMLKOdRNznRYPPY2uuJA1c96jqEBDzTqNeWzcNLN5htnpCRTmleWnQ//OB2DuV4+bXavXiMnUbzUAG5UtCef2s2/TLIoKNDi6eFIzrAlPvDH/pgV2Klv3+mFk5RUxZeNe0nMLiPDzYsqo3niWDN9Mzs67aaTE7XSOCeWd/u2ZseUgn63aRrC3G18N625xz0Zr6N4gjKz8Qqas32NKk78XU568Pk25FU9T3VDeebg9M/45yGcrS9I0vDuxIf7WSMJNXBvXpeWm2aXvo798C4CEP5ZydPRE1H7e2Ncs+/ctjE9kX98xRH81keCxT1CUmMyxMe+QvmF7aZikxWuw9fYgfNI41L7eaI7Esbf3UxSnVnBYwz1q2/MpirWFrJg5iaICDUFhsYx47VezZ1Rm6mXyr8tTVy6eYManI0rfr5n/GQCN2vRn4NOTARj03FesX/wNi395ncL8HNy8/On6yMs061TxToSKeKhJDFm5+fy8agvpmryS8sTQOyhPaMrKE08+bFaeAFi7/zjIMt2b1rVq/Muzfq8WW5XE0IcccFBLnL+i54cl+eiv6wj1dlPiZF92wN1JwZN9HHG0k8grlDmfqOfzuXnkXbe1RtsGanq3Llvd7dWhpjL6rL8L2H3iwZ7nKFfrqjcP3mq1knwnmyvewunTp5k+fTqzZ88mOzubrl27snLlyru6Vu7+tfcSlfuOc5PufDDnwVqqatJwFYWbZ98+4H+IfafH+fvgg/U79YxVkXzKekOfqoNvZCMmL3rw9pKa+JiS7EPW3ey6qrk16sTMLdUdi8o1sgMULf2uuqNRqewGvETR8u+rOxqVyq7/OFar7n0O+f2kl+40i3c/WMMMH22hoPCfudUdjUpn33EYz32RXd3RqFQ/v+5W3VG4K18urb4889qAB28e6T2nKCIigs8//5zExETmz59v1rIjCIIgCIIgCIJQlYxy9b0eRJVWBVYqlRgMBi5evHj7wIIgCIIgCIIgCMJ9r8IVxqlTp/LII48wdOhQ9uzZA8DmzZtp1KgRTzzxBG3atKn0SAqCIAiCIAiCINwJ02rY1fN6EFWowvjpp58yduxY4uPjWblyJZ06deKTTz5h2LBhDBo0iMTERKZMsf5m5oIgCIIgCIIgCIL1VWipwt9//53ffvuNESNGsG3bNtq3b8/OnTs5d+4cjo6O1oqjIAiCIAiCIAiCUA0qVGG8fPkynTqZ9spr27YtKpWKDz74QFQWBUEQBEEQBEG4Lxgf1NVnqkmFhqRqtVrs7Mr2c7G1tcXDw6PSIyUIgiAIgiAIgiBUvwrvnv3uu+/i4GDaoLe4uJiPP/4YV1dXszBff/115cROEARBEARBEAShAh7UxWeqS4UqjO3ateP06dOl71u1asWFCxfMwoh9GAVBEARBEARBEB4MFaowbtmyxUrREARBEARBEARBEO43FZrDGBoaSkZGhrXiIgiCIAiCIAiCcE/EPoyVq0IVxvj4eAwGg7XiIgiCIAiCIAiCINxHKrzojSAIgiAIgiAIwv3K+KB29VWTClcY161bd9OqqDfq27fvXUdIEARBEARBEARBuD9UuMI4YsSIW34uSZIYtioIgiAIgiAIgvAAqHCFMTk5GR8fH2vERRAEQRAEQRAE4Z7IxuqOwYOlQoveCIIgCIIgCIIgCFUrMzOTYcOG4eLigpubG6NHjyYvL++OzpVlmR49eiBJEsuXL6/wd0uyfOezQhUKhehhFARBEARBEAThvvXBHF21ffek4SqrXLdHjx4kJSUxdepUdDodo0aNomnTpsybN++2537zzTds2LCBNWvWsGzZMvr371+h767QkNRhw4YxdepU1q5dS3FxMZ07d2bSpEnY29tX6EvL8+FcfaVc537x3jAbrp4+Wt3RqFT+EfWZvOjBmqM68TElx88lV3c0KlXdOr58NP/Byk/vDrHh4vlz1R2NShdSuw6/rKvuWFSuZx+C3P1rqzsalcq5SXfe+KWwuqNRqT5/1p43f32w0vTZM/Ys3v1gjUV7tIWC1aqI6o5GpeqlO80nCx+ssgTAW4OU5O9cWt3RqFSOrQZUdxQEIC4ujrVr17Jv3z6aNGkCwA8//EDPnj358ssv8ff3L/fcw4cP89VXX7F//378/Pzu6vsrNCQ1PDyc999/HycnJwICAvjuu+944YUX7uqLBUEQBEEQBEEQKpvRWH0va9i1axdubm6llUWALl26oFAo2LNnT7nnFRQUMHToUH766Sd8fX3v+vsr1MM4e/ZspkyZwpgxYwDYuHEjvXr1Ytq0aSgUYjqkIAiCIAiCIAj/f2m1WrRardkxtVqNWq2+62tamhJoY2ODh4cHycnlj5J75ZVXaNWqFf369bvr74YK9jBeunSJnj17lr7v0qULkiRx9erVe4qEIAiCIAiCIAjCf93kyZNxdXU1e02ePNli2AkTJiBJ0i1fp06duqt4rFy5ks2bN/Ptt9/eQ2pMKtTDqNfrsbOzMzumUqnQ6apvYqkgCIIgCIIgCMI1FVjTs9K9NXEi48ePNztWXu/iq6++ysiRI295vdDQUHx9fUlNTTU7rtfryczMLHeo6ebNmzl//jxubm5mxwcOHEjbtm3ZsmXLLb/3ehWqMMqyzMiRI80SXVRUxLPPPoujo2PpsaVLH6wJv4IgCIIgCIIgCLdTkeGn3t7eeHt73zZcy5Ytyc7O5sCBAzRu3BgwVQiNRiPNmze3eM6ECRN46qmnzI7Vq1ePb775hj59+txR/K6pUIVxxIgRNx0bPnx4hb5QEARBEARBEATBWozV18FoFVFRUXTv3p2nn36aX375BZ1Ox4svvsjgwYNLV0i9cuUKnTt35o8//qBZs2b4+vpa7H0MCgoiJCSkQt9foQrj77//XqGLC4IgCIIgCIIgCPdm7ty5vPjii3Tu3BmFQsHAgQP5/vvvSz/X6XScPn2agoKCSv/uClUYBUEQBEEQBEEQhKrl4eHBvHnzyv08ODj4tnM373Zup6gwCoIgCIIgCILwwJAftDGp1UxsnigIgiAIgiAIgiBYJHoYBUEQBEEQBEF4YFTjrhoPJNHDKAiCIAiCIAiCIFgkehgFQRAEQRAEQXhgGMUcxkolehgFQRAEQRAEQRAEix6IHsYO9RU0qiNhp4KENJm/9xnJzC0/fOMwiSZhCtycTO/TsmHrcSPnrpa1Rrg7QddYBTW9JWyUcO6qzNr9RvKLrJsWgGWr17Jw2Uoys7KpHVKLcc88SVR4mMWwFy8n8PvchZw5f4GU1DReGD2SR/r1MgtjMBiYNX8xG7ZsJTM7Gy8PDx7q1IHHBw1EkiTrJ6hE2xiJhqESahUkZsC6A0ay8soP36i2RGxtCVdH0/v0HNh+0siFZPNwAZ7Qrq4Cf0/TmPWUbFi41YjeYLWkALDmr2Ws+HMB2VmZBIfUZvSzLxEWEVVu+J3b/mH+nBmkpSTj5x/A8FHP0rhpi9LPf/h6Mls2rTU7p2FsM9796AurpaE87espaFS7JE+ly6zZZyTzFr9V4zoSjcMUuJX8Vmk5pjx1PqksTznaQZeGCkJ9JWxVkKGB7SeMnEq0fivgylV/seTPP8nKyiI0JITnn3uWiIgIi2HjL11i9uw5nD13jtTUVMY88zQP9+9vFuav1av5a/XfpKakABBUqxbDhgyhadMm1k5KKVmW2fX39xzbtRhtoQb/kFg6P/Y+7j7B5Z6zd/1Uzh1dT2bKBWxUdviHNKJN39fwqBEKQE5GIjM+6Gzx3F6jviW8UQ9rJKXUovXbmL16Mxk5GsKCAnh9xEDq1q5lMeyyzTtZvX0f5xOSAIgKqcnzg3qbhc/I0fDD/FXsPnaK3IJCYiNr8/qIgQT5+lg1HTfq1sSGZlE22KshPtnIsm060nPu7O++Q0MberZQse2onlU7dRbDPNnTlsggJbPWajkRb6zMqJera+OSNNmWpGm7jgzNHaapgQ09mqvYfkzPql3lpKm7LRFBSmat03LykvXTJMsym5b9wP4tiykqyCUorBF9R0zCyze43HMuntrH9jUzuBp/gtzsNIaO+4Hoxl3MwmiL8lm/6GviDm6iIC8bd+9AWnYdTrNOg62aHo82TQh9dTSusXWx8/dh/8DnSVm56dbntGtG9JcTcIoOoyghiXOTfybxj2VmYWo9N5TQ8aNR+3qjOXqKEy9/RM6+Y9ZMikXt6l5XnkiHtbcpT8TWloitU1aeSMsxPX+ulSdcHeCFPkqL5y7dYeBUYiUn4AYLN+3ijzVbycjJIzzIlzeG9aVuaE2LYTftP86M1VtISMlAbzAQVMOL4d3b0LtVbGmYX5ZvZP2eoyRnZqOyURIVHMALA7pRr3aQdRMiPLD+8z2MraIlmkVIrN5rZPo6Azo9DOuoRHmLlOUWwKbDRn5bY+C3NQYupsgMaqfA29X0uUoJwzopkWWYvcnA7+sNKBUwuL3lm0ll2rxtBz9Pn8WIwY/y6zefUTu4Fm9M+h9Z2TkWw2u1Wvx9fXjmiWF4uLtZDDP/zxWsWLOecWNGM+unb3lmxDAWLFvB0r/WWDEl5lpESjQJk1h7wMisTUZ0ehjUTnGb30lmy1Ejv28wMnODkfhUmUdaK/ByKQsT4AmPtVVwMUVm1kYjMzcaOXBWtvpk5x1bNzPzt594bOgIvvj+N2qF1Oajd18jJzvLYvhTJ4/zzecf0blbT778/jeatWzL5x+/zeX4C2bhGjVuxrTZS0tfr7zxnnUTYkGrKIlm4RJ/7zMyY4MpTw29TZ7SFMDmw0amrTUwbZ2B+BSZQW0VeF/3W/VrocDTRWLhVgNT/zZwKtHIwNYKfN2tm55//93Kb7/9xvChQ/nxh+8JDQ3h7XffJTs722J4rVaLr58vT44aibu75ch5eXnx5KiR/PD9d3z/3Xc0bFCfDz76iPhLl6yYEnP7N/7G4a2z6fLY+wwZvwiVrT1Lfx6NXqct95zEc3tp0HYYg8cvYuALv2M06Fk6ZTQ6rWmTX2d3P575eLvZq2WPsajUDgRHt7NqetbvOsg3c5fx9ICHmPPx64QH+TP205/JzLHc+ncg7hwPtYzll7df5PcPXqGGpxsvfvozqZnZgKkC8NrX07mSmsFX459i7v9ex9fLg+c/mUJhUfn/RpWtQ0MbWtezYem2Yn5YqqVYB6N72WJzB4+TQG+JFtFKrqaXX2FqW9/6z6UbtW9gQ+u6NizbVsyPy7UU62F0zztPU/MoJVczyk9Tm3pKqnow2ba/p7F7wxz6jXyfZ99biK3agVlfPo2uuPy/FZ22EN+aEfR5/N1yw6yZ9xlnj23nkTGf89Lk1bTq9gR/zf6YuIObrZGMUkpHBzRHT3N83Ad3FN4+OJCmK6eSsWUP25v04+IPs6g39WO8urYpDeP3aA+ivpjI2Y9/Ynuzh8k9eormq6dj6+1hrWRYdK08sWa/6ZmvM8Dg9rcuT2gKZf45amTGeiO/rzdyKVXm0TZl5QlNIXy3wmD22nrMiFYncz65/OtWhnV7jvL1gtU8068z895/kbCafrzw1QwyNZZrwK5ODozu3ZGZ7zzHwo9eom+bxnww/U92HjtTGqZWDS/eHN6XRR+9zIy3nsXf050XvppBVjnXfBDJslxtrwfRf77C2DxSwbbjRs4kyqRmw/JdRpwdILJm+T1nZ67InLsqk5kLmbnwzxEjxXoI8DKdU9Nbws0RVuwykpoNqdmm//f3hBBf6/bILV7xF726daZHl44EB9Vk/PPPYKe2Zc1Gyw+XyLA6PDvqCTq1a41KpbIY5sSp07Ru3oSWTRvjW8OH9q1b0qRhA06dOWfNpJhpGiaxI07m7FVTy95fe40420N4QPn/nueS4HwyZOVBZh5sPS5TrAd/z7JzOjdUcOCczO5TMuka0+95KlHGYOUG6VXLFtGle286de1JzaBgxrz4Kmo7Ozat/9ti+NUrl9CocTP6DxxCYFAwQx4fTUjtcNb8Zd56a6Oyxd3Ds/Tl5Oxs3YRY0CxCwbYTRs5cMeWpFbtNv1VkYPm/1dmrMueSZDLzSvLUUfM8BVDTS2LfGSNXMyE7H7afkCnSga+7dfPU0mXL6N69O926daVWUBBjX3wRtdqOdevXWwwfER7O06NH06F9+3LzVIvmzWnWtCkBAQEEBgYwcsQI7OzsOHXqlDWTUkqWZQ7++wfNuj1H7fpd8A6IpPvjn5Ofk8r5oxvLPW/A89OJaT4AL78wvAMi6TbsU3KzrpKScAIAhUKJo4u32evc0Y2EN+qBrdrRqmmau2YL/Tu2om/7FoQG+jLxycewU9uy8t/dFsN//MITPNq1LRHBgQT71+Cdp4cgG43sPWEqNF1OTuPYuXgmPPkoMbVrEexfg4mjHkWr07Fu10GrpuV6berZsOmgnpPxRpIzZRb+U4yLg0RM8K1rV7Y2MKSzLUv+1VFYbLkA4ucp0ba+ikX/FFsj6uVqU8+GzYf0nLxkStOiCqRpcEdb/tymo1Bbfpra1VOx+N+qS5Msy+xc9wcd+jxLVGxnfIMieOSZT8nNTiXuYPn5KbxBO7o+8jLRTbqWG+byuUM0atOP0KhmuHsH0LTjY/jWjCDxwlFrJKVU2rqtnJn0LSkryo//9Wo9M5jCi4nEvfEZeacucGnKXJL/XEfISyNLw4S8PIqE6YtInLWUvLjzHHt+EoaCImqOHGilVFjWLFxix8my8sSqPaZnVMStyhNX4XxSWXni32Om8kRASXlCliG/yPwVHigRlyCj01s3PXPXb+Phdk3p17YJoQE1ePuJ/tjZ2rJi236L4ZtEhtKpcQyh/j7U9PFkaLfWhAX6cvhsfGmYHi0b0jymDoE+HtQOqMH4Ib3IK9RyJtHKtV/hgfWfrjC6OYGzvcSF5LIHj1YHV9Ih0OvOCqGSBDG1JFQ2kJhmus61VtLrKx16g+mGEuRtvcKtTqfjzLkLNG5Yv/SYQqEgtkF9Tpw6c4szby0mMoKDR4+TcOUqAOcuxnP85CmaNW50z3G+E26O4GQvEZ9i/jtdzTD1EN4JSYKomqbf6UqG6ToOatPNPr8IHu+kYFxfBcM6KAj0skYqyuh0Os6fO0P9ho1LjykUCuo3bMyZUycsnnPm1Amz8AANY5ty+obwJ44dZtTQfox9ZjhTf/qKXI3lnmVrcXM05amLN+apDPPK361IEsQEleSp9LLrJKTLRAdJ2Nma3scEmYZ7X0q1XmucTqfj7LlzNGrYsPSYQqGgUcOGxFVS5c5gMLDl33/RFhURFVX+kOTKlJORSIEmjaCIVqXH1PbO+NZqwNX4Q3d8neIiU++dnYOrxc9TLh8n7UocdVs8cm8Rvg2dXs+piwk0rxteekyhUNCsbjhHrysE3UqRthi9wYiro4PpmiWlPPV1lX6FQoGtjQ2HT1+weI3K5uEs4eIocTaxbHx8UTEkpBqp5Xvrx2//tipOXTZy7orl1i+VDQztbMvy7cXkFVZqtG/Jw1nCxUHi7JXr0qQzpSnI5zZpaqPiVMIt0qSEIZ1sWb6jatOUlZZIXk46tWNalh6zc3AmMLQ+CeeO3NO1g+o04tShf9BkpiDLMhfi9pCeEk+duq3vNdqVyq1FQ9I37zI7lrZhO+4tGgIgqVS4xsaQvmlnWQBZJn3zTtxaVE1ZAsrKExctlSfu8NkvSRB9Q3niRr7upsbMIxes21uk0+uJi79K85g6pccUCgXNo2tz9Nzl254vyzJ7Tp4jPjmN2IiQcr9j6Za9ONnbEV7Tr9Lifr+TjdX3ehDd1RzGjIwMPD1NJf2EhAR+++03CgsL6du3L23btq3UCN6Kk53pv/k3PFjyimSc7G99ro8bPNlNiY0SivWwaKuRdI3ps8R0U8tT50YKNh82ImH6f4VCwsneejePHE0uRqMRdzfzwpu7myuXr1y56+sOfaQ/BYUFjHj+ZRQKBUajkdHDh9C1Q9X8Vo7Xfqcb5n/ma+XSz8rj7QpPdFKU/k5LdxjJKPmdrs2XaxsjsemITGq2TN1giSHtFUxbd+v5DPciV5OD0WjAzc18uKKrmztXEizf4LOzMnG9IbybmzvZWZml7xs1bkaLVu3w8fUlOekq82b9xseT3uCTL6egVFbNsLNr+eam36pILs1v5fFxhVFdy/LU4m1leQrgzx2mIaivD7TBYDS12i7eZr3fCUCj0WA0GnG7Ybi2m5sbCQkJ93TtixfjeeXVVykuLsbe3p53332HWkFVMz+kQJMGgIOzeYuLg7MnBZr0O7qGbDSyZekn+IfG4uUfbjHM8d1L8KhRG//QWIufV5bs3HwMRiMeruY96h4uzsRfTb2ja/ywYCVe7i40q2uamxrsXwNfT3d+XLiKt0YPwl5ty9w1W0jJzCY9W3Obq1UOZwdTI0teoflzI7dQxvkWz6gGtZUEeCn4YWn5wyH7tFJxKcXIySqas3hNaZoKzNOUVyjj7FD+eQ1qK/H3UvDjsjtIUxXMWbxeXo4pzzi5mucnJxcvcnPS7unavR9/h+W/v8fnr3RAobRBkiT6j/qQkMim93Tdyqau4YU2xfzeoU1JR+XqjMJOjcrdFYWNDdrUjBvCZOAYEVpl8Sy3PFF0Z+WJEZ3LyhN/7jB/Rl2vQahEeo7MlQzLn1eW7NwC073PxcnsuIerM/HJ5f/t5RYU0X38ZHR6PQpJwYTH+9Eixnyti62H45j4ywKKinV4uTrz82tP4u5s3ZEiwoOrQhXGY8eO0adPHxISEggLC2PBggV0796d/Px8FAoF33zzDUuWLKH/DQtE3Eir1aLVmj801Go1cOtCcd1gid7Nylow52+5+1VN0jUw9W8DdrYQFaSgX0sFszYYSNdAgRaWbDPSs5mC5hGmuYzHL8lczbD+3Dhr2LJ9Fxv/3c47r75EcFAg5y7G89O0mXh6uNO9c4dK/76YIInujct6oxZtv/uHf0YuzNhgRK2CiEDT7z9ni6nSeG29nkMXZI7Fm36YlMMywT4S9UMk/j323/qx2rQvW2ykVnBtagXX5oWnhnDi2OGbeicrS91aEr2aXpen/r2HPJULv641oFZBdJCCvi0U/LHJUPpA7lBfgZ1KYvZmA4VamYhAiYGtFczaaCC1ajtSK0VgYABTfvyB/Px8tm3fwVdffc3nn39mlUpj3L6VbFo4qfR9/zFT7/mamxd/QEbSWR57aZ7Fz/XFRZw+8BfNH3r+nr/L2mau3MD6XYeY+s6LqG1NPYo2Nkq+eGU0H/06n07PTERZ0mPZqkEU1pog1yhMyYB2ZT2av/9d8WGVro4SfVur+O0vbbkLd0XXUlAnQMG3i60/F7NhHSUD2l6XprV3l6Y+LVVM+7v8NEXVUlDbX8F3f1o/TYd3rmLlzPdL3z8+/merfdfuDXNIPH+E4S9Pwc3Tn/jT+1k1+yOc3X2oE9Pq9hf4fy6mlkSP68sT2+6tPDF9vak8ERko0aeZgjn/3FxptFGayjHbT96/ZQhHO1vmfzCWQm0xe0+e5+sFqwn08aBJZFnlvWlUbeZ/MJbsvAKW/buPN3+ezx/vPn9T5VQQ7kSFKoxvvPEG9erVY+7cucyePZvevXvTq1cvfvvtNwDGjh3Lp59+etsK4+TJk/ngA/OJ2JMmTUIR9s4tzzuTKDM1vexpc23oqKM95F3X2uRkJ5GcdeuMbjRS2rORlGnE30NB80gFq/eabkYXkmV+XGnAXm0Kq9XB+AFKTlyy3g3E1cUZhUJx0wI3Wdk5eLi53fV1f5k5myED+9OpnWkITGhwLVJS05m3ZJlVKoxnr8pczSz7d7o2Ed3RzrxV0FEtkZJ9579TcpaMn4dE0zCJtQfk0t88/YbKRrpGxvUWLd33ytnFFYVCSfYNC9zkZGfh5m558r+bu8dNC+Jk3yI8gK+fPy4uriQnXbFahfHMFZkrGdflqet+q+vzlGMF81RylhE/DwXNIhT8vc+IuxM0C1fwy2o9aSUP55RsmZreMk3CFPy93zo9Ci4uLigUCrKzss2OZ2dn4+5xb6vtqFQq/P39AQgLC+PM2TMsX7GCl8aOvafrWlK7Xif8ghuUvtfrTYX2gtwMnFzLVvwsyM3AOzDyttfbvPhDLpzYwmMvzcHZ3ddimDOH16IrLiKqaf97i/wdcHN2RKlQ3LTATaYmF0/XW8/jnb16MzNXbWLKxOcJCwow+ywqpCbzJr9BXkEhOr0BdxcnRrz3NdEhllcfvFcn4w1cTin7W772jHKyl8i9rkfO2V7iajlD4QK9JZwdJF56RF16TKmQCPGTaVVXyVu/FVE7QImHi8QHT5p3qTzezZaLyUamrqy8+X8nLxlISLWQJgeJ3Ot6Tp1ukaYAL1Oaxg24OU0tY5S8Pb2IOv6mNL0/8oY0dTWl6de/Ki9NUY06UbN22dQPvc507bycDJzdyvJTniYdv6C7H2auKy5iw5JvGTrueyIadgDANyiCpMtx7Fjz+31VYdSmpKOuYT6mU13DC11OLsYiLcXpWRj1etQ+njeE8USbfGejGu7G2Suy2d9VueUJu7ssT4RLrNlvfl5koIRKCcfjrV9hdHN2MN37bliMJjMnF0+X8u99CoWCoJLfKyLIn4tXU5nx1xazCqO92pagGl4E1YD6tYPo9+aXLN+6nyd7d7BKWu43xv9iD899rEIVxn379rF582bq169PgwYN+PXXX3n++edRKEw5eOzYsbRo0eI2V4GJEycyfvx4s2NqtZrPltz6vGI9FN8wfC23UCakhkRKSWHW1sY0jn3/2Yr9oUgSFlfYKixp7AyuIeFoZ6q0WotKpSK8TigHjxyjTYtmABiNRg4ePcbDvbrf9XW1Wi2KG7bPUCgUVlvJydLvlFdo6vlLzS77nfw94eD5il1boux3ysk3raTq6WIexsPZfF5rZVOpVNSuE86xwwdo3tI0rNdoNHL08EF69H7Y4jnhkTEcPXKA3v0fLT129NB+IiJjyv2ejPRUcnM1uLvf4UTPu1BunvIte/ja2pjmmh64izx1rQKqKilk3ngFWS7rKbYGlUpFWJ06HD5ymFatTPOTjEYjhw8fpk+f3pX6XbJRRqezvEXAvbK1c8LWrqxVWJZlHFy8STizC59AU4FWW5hH8qUjNGgzpPw4yjL/LPmIc0c38OjY2bh6ll9xOrH7T0LrdsLB2forIKpsbIgMqcneE2fo0MRUkDcajew7fobHupU/dH7Wqk3MWLGeH998jujQ8nt2nRxM4z8vJ6cSd+Eyzz3Ss3ITUEKrA63O/K9cky8TFqAkKePanEqo6aNg1wnLfyvnrhj5aqH5eLvHOtqSmm1kyyE9sgz/HNKxN858JY5XB9mxaqeu0odzFusg48Y0FcjU8b85TbvjyknTVSNfLzZP06PtbUnLMbLlcEmaDuvYe8o8TeMftWPVLh1xlys3TWp7R9T2ZUPzZFnGydWL8yd341fLlJ+KCvNIvHD0nra/MBj0GAw6JMm8cCEplBiN99dEp+zdh/HuYb4SslfnVmTtPgyArNORc/AEXp1alm3PIUl4dmzJpSlzrBavcssTNSyUJyq4jl955b4GoRJnr5pGm1mbysaGqGB/9p48T8dYU3nAaDSyN+48gzq3vM3ZZYyyjE5/69V5ZFmm+DZhBKE8FaowZmZm4utrao12cnLC0dHRbNl5d3d3cnNvsQFiCbVaXTIE9UYV/0Pec8pI27oKMnONZOfLdKivILcATiWUPeAe76zgVILMvjOmY50aKjh31UhOvulBVzdYQXANibmby27g18avF2hNC+g81ETB7lMyGbdP3j15tF9vPv32J8Lr1CYqvA5LVq6mqEhL984dAfjkmx/w9vDg6RHDANOiHpcSTBsE6fV60jMzOHfhIvZ2dgT4myY3t2zamDmLl+Lj7UVIUE3OXrjI4hWr6NGlk3UTc519Z2VaRUtk5snk5Jv2TcwtNPVwXTOkvYIzV2QOnDMda19P4kKSjKYAbFUQHSRRywcWbC07Z89pmTYxpspNajbUC5bwdIZlO63bstTn4cf44evJ1A6LJCw8kr9WLEFbVEinrqZ96r7/6n94eHozfOQzAPTq+wjvTRjHyqULiW3agh1bN3P+3GmeHfsaAIWFBSyaN4uWrdvh5u5BctJVZs/4BV+/ABo2rtq5LntPG2kTU5Kn8kryVCFm+yUO76jgVKJc2jDTqUFJnioAtU1JnvKRmLvFlKfSNZCRK9OzqZKNhwwUFpuGGIf6Siz417oFpwEPP8yXX39NWFgYEeHhLFuxgiJtEd26mlY2/OLLr/D09OTJUSMBU566fNk0F1Wv15OekcH58+ext7cv7VGc8ftMmjZpgrePN4UFhfyzZQtHjx3jfx99ZNW0XCNJErHtn2DPup9x866Fq2cgO1d/h6OrD7Xrl+0Dt+THEdSp35WG7YYDpmGopw/8Rd+npmBr50h+yVxItZ0zNrZlPTvZaZdIPL+Ph8f8WiXpARjWowPvT51LdEgQMbWDmLf2Xwq1xfRp3xyA936eg4+7Ky8O7gPAzFUbmbrkbz5+4Qn8vD1K5yU62KlxsDM9XzbuOYSbsxO+Xu6cu5zEV7OX0r5JPVrUv30vbGXZfkxPp8Y2pOcYycyV6dZUhaZA5kR8Wc/+071tOXHRwM4TBrQ6ShtArynWyxQUlR3PK7x5XiRAdp5MVq71W9W3H9PTKdaGdI2RLE05aeply/F4A7tOGCi+z9MkSRKtHnqCLSt/wbNGLdy9A9m09Huc3XyIii3LTzM+G0V0bBdadDU9f7VF+WSmlM1bz0pLJOlSHPZOrrh5+mNn70RwZFPWLvwCG1s73Lz8iT+1j8M7VtBjyJtWTZPS0QHHOmWNKA4hgbg0iKQ4M4eihCQiPh6PXUANjowyxePSrwuo9fwwIie/TsLMP/Hq2AK/R3uwr++Y0mtc/PZ3Gsz4jOwDx8nZd5TgcSOwcbQnYdZSq6blRnvPyLSOlsjKlcm+rjxx+rryxNAOCk4nlpUnOtSTOJ8so8k3lSdiSsoT8/81/9tyd4Igb9NezlVlWLe2TJq2mOjgAGJCazJv/Q4KtcX0bWMaWfTub4vwcXNh7KOmjoMZf20hOiSAQG9PivV6dhw9zd+7DjHx8f4AFGqLmbbqH9o3isLL1ZnsvAIWbdpFapaGrk3rVVm6qtuDur1Fdanwojc3bvRelRu/W7LzpIytjUzv5grsbOFyqszcfwxmK5y6O0k4qOFa/4ajGvq3VOJkT+nDee5mo1mvlJeLROeGCuxtS7YAOG5k9ynr//F1atuanBwNM+ctJDMrm9qhwXz2/tuleyympqWb9RZmZGbx9MtvlL5fuGwVC5etokHdaL79xDTsd9wzo5kxdwHf/TKNrJwcvDw86NO9K08Msu7Kh9fbfUpGpYQejU2/U0K6aaGh638nNyewv64dwVENvZsrcLIz/U6pObBgq5H4lLIw+87KKJWmDeHtbE1boCzYaiQ737rpad2uEzk52SyYM4PsrExCQuvwzodflA4xTU9LNWtVjoyuy8uvv8v82dOZO+s3/AICeeOd/xEUbBo+olAouRR/ni2b1lKQn4e7hxcNGjVhyOOjUalsrZuYG+yMk1HZyPRqWpKn0mTmbbl1nnJQQ78W1+WpbJm5W4ylq60aZViwxUCnhgoGtVdiawNZuaYtO84lWTdftW/fjhxNDrNnzyErK4vQ0FA+/vDD0sau1LQ0JMX1eSqTF8aOK33/559L+fPPpdSrV48vPvsUgOycbL746iuyMjNxcHQkJCSY/330EbGxVbdaYJMuT6MrLmTjgvfQFmrwD23MgOemYaMqy0Q56QkU5pUNhT66fT4Ai3943Oxa3YZNJqb5gNL3x3f/ibObL7Ui21BVurWMJSs3j1+W/E1GjobwWoH88OazeLqahhAkZ2SZ3fv+3LgDnd7Am9/9bnadpwd0Z8xAU8NNepaGb+YsJyMnFy83F3q1bcpTDz9UZWkC2HJYj60NDGxvi13JJvfTVxebzeXzdJVwtK/eZ2lF/HukJE1ty9I0Y415mjxcJBzt/jtpatvzKYq1hayYOYmiAg1BYbGMeO1XVLZl+Skz9TL51+WnKxdPMOPTEaXv18z/DIBGbfoz8OnJAAx67ivWL/6Gxb+8TmF+Dm5e/nR95OV76rm8E66N69Jy0+zS99FfvgVAwh9LOTp6Imo/b+yvWzGzMD6RfX3HEP3VRILHPkFRYjLHxrxD+obtpWGSFq/B1tuD8EnjUPt6ozkSx97eT1GcauWVYW6w+5SMrQ30aFJSnkiDhf/eXJ5wuK484WAHfa4vT2TD/H/NyxMA9UMkNAVwoQp3n3ioeX2ycvP4eflGMnJyiQjy48fxo0qH4ydnZJvd+wq1xUz+YwWpWTmobVUE+3rz0dODeKi5aXSGQiERn5TGXzsOkp2Xj6uTAzHBgUyf+Ay1A2pUXcKEB4okV6AKrlAo6NGjR2nv4KpVq+jUqROOjqahHVqtlrVr12Iw3N3CGR/OfbC6yt8bZsPV09bda6mq+UfUZ/Kiu18Y5X408TElx889WHsT1a3jy0fzH6z89O4QGy6er7q9Q6tKSO06/LKuumNRuZ59CHL3r63uaFQq5ybdeeOXKtzroQp8/qw9b/76YKXps2fsWbz7/hruea8ebaFgtSqiuqNRqXrpTvPJwgerLAHw1iAl+TurtsfV2hxbDbh9oPvQKz9acQn22/jmxQdvYaEK9TCOGDHC7P3w4cNvCvPEE0/cW4wEQRAEQRAEQRCE+0KFKoy///777QMJgiAIgiAIgiAID4QKz2EUBEEQBEEQBEG4X4k1byqXhQWFBUEQBEEQBEEQBEH0MAqCIAiCIAiC8ACRjaKLsTKJHkZBEARBEARBEATBIlFhFARBEARBEARBECwSQ1IFQRAEQRAEQXhgGMWqN5VK9DAKgiAIgiAIgiAIFokeRkEQBEEQBEEQHhhi0ZvKJXoYBUEQBEEQBEEQBItED6MgCIIgCIIgCA8M0cNYuUQPoyAIgiAIgiAIgmCRqDAKgiAIgiAIgiAIFokhqYIgCIIgCIIgPDDEiNTKJXoYBUEQBEEQBEEQBItED6MgCIIgCIIgCA8MsehN5ZJkWRb/ooIgCIIgCIIgPBCe/Syr2r77lzfdq+27reW+6mEsWv59dUehUtn1H8c7M4urOxqV6uORtmi+HV/d0ahULi9/zdYT+dUdjUrVLsaR3B9er+5oVCrnsV/w2Kvx1R2NSrfoq+AHMk+9+HVOdUejUv043pWihZ9XdzQqld2gNyiY/l51R6NSOYz+kMJ/5lZ3NCqVfcdhfLLQUN3RqFRvDVKyWhVR3dGodL10p+nwyK7qjkal2rKkZXVHQbgP3FcVRkEQBEEQBEEQhHshBlBWLrHojSAIgiAIgiAIgmCR6GEUBEEQBEEQBOGBYRSL3lSqCvUwdurUiezsbCtFRRAEQRAEQRAEQbifVKiHccuWLRQXP1iLuAiCIAiCIAiC8OAQcxgrl5jDKAiCIAiCIAiCIFhU4TmMJ0+eJDk5+ZZh6tevf9cREgRBEARBEARBEO4PFa4wdu7c2WI3ryRJyLKMJEkYDA/WfkGCIAiCIAiCIPw3yGLRm0pV4Qrjnj178Pb2tkZcBEEQBEEQBEEQhPtIhSuMQUFB+Pj4WCMugiAIgiAIgiAI90T0MFauSl/0JjMzs7IvKQiCIAiCIAiCIFSDClUY27dvj62trcXP1q9fz2OPPUZAQEClREwQBEEQBEEQBEGoXhUakvrPP/+Yvb906RIzZsxg1qxZZGVl0aNHD/74449KjaAgCIIgCIIgCMKdMop9GCtVhecwFhcXs3TpUqZNm8aOHTvo0qULiYmJHDp0iHr16lkjjoIgCIIgCIIgCEI1qFCFcezYscyfP5+wsDCGDx/OwoUL8fT0RKVSoVQqrRXHW1qw8xizth4iPbeAcD9PJvRrR72aNW573prDZ5kwfz0do0P4dkRPs88upGTy7ZpdHLhwFb3RSO0aHnw1vDt+7s7WSsZNOjdU0iRcgZ0tXE6VWblLT0bunZ3brp6Cbo1t2HnSwN97y7Y4aRKuoEGoAj8PCTtbiY/nFVNUbKUE3EBVvzXqJh2RHJwxpl+l8J9lGFMul3+C2g67Vj2xqVMfSe2AMTcT7b8r0MfH3f01rUCWZVYu+IVtG5ZRUJBLncgGDHvmLWr4B93yvH/WLGTd8j/Iyc6gZnA4Q556g5CwuqWff/Hu05w5ccDsnHbdBvL4s29bJR3XqOq1wja2fcm/aRJFW5djTEmwGNYmsgn2XQeZHZP1OvJ+fqv0vWTvhLp1L5Q1w5DU9hiuXqTo3+XIOelWTYcljz3kRucWTjjaKzh1Ucu0PzNITtff8hx3FyXDe7vTMNIeta1EcrqeKQvSuZBoyjjN6jnQtaUzoYG2ODsqef2rq1y6WjWZ6kHNU71aqWlV1xZ7O4kLVwws3FRIWrax3PA9W6rp2dLO7FhypoGPZ+aVvrdRwoD2djSOUGGjlIi7pGfhpkJyC6zfAr1gz0lm7ThGel4h4TU8mNCrJfUCb7/S+Jpj55mweAsdI4P4dmjX0uMZeYV8u34fu85fIbdIS2wtXyb0akktT1drJsPMwoNnmbX3FBn5RYT7uPFml1jq+nlaDLvy2EUmrdlrdsxWqWDPq49aDP/xuv38eeQ8r3VqyLAmEZUe9/Is2LKPWet3kqHJIzywBm8O6kG9EMtTbDYdimP6mu1cTstEbzAS5OPBE11a0rtF2R7UDZ/90OK5Lw/owshurayShvK0qyvRMFRCrYLEdFh7wEhWXvnhY2tLxNaRcHU0vU/Lge0njFwo2YLb1QFe6GO5zLd0h4FTiZWcgBIebZoQ+upoXGPrYufvw/6Bz5OyctOtz2nXjOgvJ+AUHUZRQhLnJv9M4h/LzMLUem4ooeNHo/b1RnP0FCde/oicfcesk4hbGDWoJr27+ODkYMPx0xq+/vUiV5KLyg2/YEojfH3sbjq+bG0y3027eNPxz96OpHkjd9757BTb92VVatzvR2LRm8pVoQrjzz//zJtvvsmECRNwdq66ylN51h45y5d/beedhztQL6gGc7cf4bnpq1jx2lA8nRzKPe9KpoavV+8gNsTvps8SMnIY+ctSHm4azXNdm+FkZ8v5lExsVVVXIW5bV0GLaAV/btOTlQddGikZ0U3F98t16G+zxWWAp0TTcCVJmTcXsFQ2cPaKkbNXoFvjCncu3zWb8IbYtetH0ebFGJIvY9uoHY4PP0PerE+RCy08tRRKHB9+FmNhHoV/zcSYn4PC2QNZW3j317SStctmsWn1fJ4c9yFePv4sn/8z3370Ah9+twSVrdriOfu2r2PR718zfMxbhITXY+Nfc/n2wxf46IdluLh5lIZr2/Vh+g1+rvS9rfrmB0NlsglrgLptH4r++RNj8mVUDdvi0Pcp8ud8jlyYb/EcWVtI/pwvrjtgfoO27zUS2WigcPVM5GItto3a4dD/GfLnfgF6nTWTY6ZfRxd6tHXhp/lppGbqGdTdnbefqcH4z6+i01t+qDjaK/horB8nzhXyyW8paPKN+HnZkF9YlrfUthKnLhax60g+zz7mVVXJeWDzVJemtrRvqGb2ugIycoz0bmXHCwMc+XhW7i3vfVfTDfywpOxv1HjD7W9gBztiQlRM/6uAQq3MY53seaqPA98stPx3XVnWHrvAl2v38E6f1tQL9GburhM898daVox7BE8n+3LPu5KVy9fr9hJby7zxU5ZlXp63ARulgm+HdsFJreKPnccZM3MNS8cOxMFWZdX0AKyLu8xX/xzm7W6Nqevnybz9Z3h+0b8sf6onHo6W71FOtiqWPdWj9L0kSRbDbT6TyLGkDLxv8W9jDev2n+CrJet5e2gv6gUHMHfzHp7/YS4r3n8BDxfHm8K7ONjzVI+2BPt6orJRsvXoWSb9sQIPZwdaxdQBYONn483O2X7iHB/MXkmXRlFVkqZrWkRKNAmTWLXHSHY+tK+nYHB7Bb+uMWIopx1GUyjzz1GZzFyQgHohEo+2UTB9vZF0DWgK4bsV5hmyUahE80iJ88nWS4vS0QHN0dMkzPyTJkt+um14++BAmq6cyuVfF3D4idfw7NSSelM/pigpjfQN2wHwe7QHUV9M5PgLk8jee4SQcSNovno6W2K6U5xWdYs4Dunvz8Cevkz+8RxJqVqeHFyTL96NYuTLhynWWX5GjZlwDKWiLC+F1HTgq0nR/Lsr46awj/T2u/HxLAgVUqFFb2bPns3evXvx8/Nj0KBB/PXXXxgMt6nBWNHsbYcZ0CyG/k2jqF3Dg3ce7oCdyobl++LKPcdgNPLWgg0817UZgR43t8j+sHY3bSJq8UrPVkQFeFPT05UO0SG3rIBWtlbRSrYcMXAqQSYlS2bJNj3ODhAVdOufy9YGHm1nw/Kdeos9h7tOGtl6zEhCWtXeNdSx7dEd343u5D6MmSkUbVqCrNehimlmMbwqphmSnQOFq2ZgSIpH1mRhuHIeY/rVu76mNciyzKa/5tHrkado2KwDgcHhPDnuQ7Iz0zi0d0u5521YNZe2XR+mded++NcMZfiYt7FV27Fj8wqzcLa2dri6e5W+7B2crJoe24bt0J3Ygz5uP8asVLT/LDX9m0bf+t9ULsgte11XsZDcvFD61UK7ZSnG1ETk7DS0/ywFGxWq8EZWTcuNerZzYenGbPafKORyko4f56fh7mJD07rl5+t+nVzJyNbz88IMzicUk5ap5+iZIlIyynoltx3I588NORw7U34rsDU8qHmqYyM16/YUcey8nqvpRv5YW4Crk0SDOreuCBmNkFsgl77yi8rucXa20LKuLUv/LeRMgoGEVCNz1hVSO8CGYD/rNgTO3nmcAY0j6B8bTm0fd97p09r0jDp4ptxzDEYjby3ZwnMdYwl0dzH77FKGhqOJabzdpzV1A7wJ9nLjnd6tKdIbWHvsglXTcs2c/acZUD+UfvVCqe3lytsPNTGl6djNPRqlJPBysi99eVqoWKbmFvDZxoN80rsFNgrLFUprmb1xFwNax9K/VUNq+3vzztBe2KlULN95yGL4phHBdGoUSaifNzW9PRjWuTlhATU4dL5sNIaXq5PZa8uR0zQNDybQ272qkgVAs3CJHSdlzl419RSu2mPE2R4iAsr/Nz53Fc4nQVYeZObBv8dkivWmBmkwtQvmF5m/wgMl4hJkdLcetHFP0tZt5cykb0lZsfGOwtd6ZjCFFxOJe+Mz8k5d4NKUuST/uY6Ql0aWhgl5eRQJ0xeROGspeXHnOfb8JAwFRdQcOdBKqbDskV5+zP4zkR37srhwqYDJP5zDy92WNs08yj0nR6MnM1tX+mrZ2J0rSUUcPqExC1cn2IFBffz4fMp5ayfjviLLcrW9HkQVqjAOGTKEDRs2cOzYMSIjI3nhhRfw9fXFaDRy8uRJa8XRIp3eQNyVNFqEBZYeUygkWtQJ5Ojl8pu4pm7ch7uTPQOaRd/0mdEos+3UJWp5ufHstJV0+HAGw35czOYTVfMgBnB3AmcHifNJZX9wWh0kpsnU9L71Q7RPCyWnE41m51Y7hRKFTyD6hOsLSDL6y2dQ+gVbPMUmtC76pEvYdRyI09Mf4Dj8dWybdoZrrdJ3cU1rSE+5Qk52OlENmpcec3B0JjSsLhdOH7V4jl6n49L5OKLql52jUCiIqt+c8zecs2fbGl4Z0YlJLz3K0jk/oL2uN6jSKZQofAIwJJy97qCMIeEsCt9a5Z+nssVxxFs4jnwbu14jUXiU9YhISlMvtqy/vgQhg0GP0j+kcuN/Cz4eNri72HD0ukpdYZHMuctawmtZ7gUGaBJtz4UELa884c1v79fks/F+dG5u3Ur7HXlA85Snq4Srk4JTl8v+XoqKIT7ZcNuKnbe7gv8948z7Tzozooc97s5l98qgGkpslBKnr7tuSpaRTI2RECtWGHV6A3FJ6bSo7V96TKGQaFHbn6OJqeWeN3XLYdMzqvHNwzF1JQ20apuyeCsUErZKJYcupVRi7C3TGQzEJWfRPLgsnyskiea1anD0avnDzAuL9fT4ZRXdf17Jy0u3cT49x+xzoyzzzuo9jGgWSW2vqhtaCyW/0+UkmkeV3ZMUConmUSEcvXD7sZWyLLPn1AXiUzKIrWN5KkKGJo/tx87Sv3XVNpS5OYKTvcTFFPPyxNUMCLjDARGSBNE1JVQ2cCXDctnC1x183SWOXLiPyh6AW4uGpG/eZXYsbcN23Fs0BEBSqXCNjSF9086yALJM+uaduLWout/Kz0eNp7stB46W5Yv8AgMnz+YRHX5no/lsbCS6tvPi73/M7y1qWwXvvBTGt9MukplddaN6hAfPXe3DGBISwgcffEB8fDxz5sxh4MCBDB8+nMDAQMaNG1fZcbQoq6AIg1G+qefP09mB9NwCi+ccvHiVZfvimDSwo8XPM/MLKCjWMWPLQVpHBPHLU33oFBPK+Nlr2H/hSqWnwRIne1NBJ6/Q/MabVyjjfItROvVCFPh5Smw4WH09vpZI9o5ICiVygfkETLkgF4Wj5RuhwtUDVVh9kBQUrPgN7d4N2MZ2wLZZ17u+pjXkZJuGfbi4mrcAOrt5kpNlufCUl5uN0WgwG3oK4OLmgSa7bBhJ87bdGf3Sx7z64VR6DBjFri2rmf7tO5WcgjLX/k2NBeZDD+WCPBQOlv9NjdlpFG1aTOHqmRStn48kSTg88gKSo6nAZ8xKxajJQt2qB6jtQaHENrYDCmc3pHKuaQ1uLqbCdU6ued7IyTWUfmaJj6eKrq1cSE7T8b/fUli/M5dRD3vQvsnNQ9Sq0oOap1wcTI+jG+cV5uYbcXEsv7EsPsnAnLUF/LQ0n4WbCvF0VfDKICfUJZ2SLo4KdHqZQq35eZoCIy6Olb4VcanSZ5Sj+Y3b09Ge9FzLjT8HLyWz7OBpJvVtY/HzYC83/Fwd+X7DfjSFWnR6AzO2HSFFk09aOc+9ypRVUIxBlvFwMO8h9HS0IyPfci97LQ9nJvVoyrcPt+HjXi2QZRg5ZxMp18X39z1xKBUSQxqHWTX+lmTlFZh+pxuGnno6O5KuKX8odm5hES1fmkzTF/7H2B/nM2FQd1pG17YYduWuIzjY2dK5ioejXuvIvfGnyS+SKWf0cClvV3htgII3H1HQvYnEnztMw1EtaRAqkZ4jc+XmkZDVSl3DC22K+bNYm5KOytUZhZ0aWy93FDY2aFMzbgiTgdq36qYYeLibblY3VuiycorxcLuzYeZtmnrg5GjD2hsqjC+MDObE6Vx2/D+YsyhYV4UmsimVSpKSkvDx8QFM8xAeeughHnroITIzM/njjz/4/fffb3sdrVaLVmv+9Fary2/prwz52mLeXriRSQM74u5oueZ1bX5sx5gQHm/bEIBIf2+OXEpm8e4TNAmt/D0mG4Qq6NuyrNA6e2PFx3O4OkCvZkp+X6+/7RzH/wRJQi7Io2jTIpBljKmJFDu6YtukI8V71ldbtHb/+zdzpv6v9P3Yt7+32ne161Y2HCawVhiuHl58PelZUpMT8PGtabXvrQhj8iWMyZdK3xcmx+M47HVUdVtQvGcdGI0U/j0Lu86P4fzMh8hGA4aEc6ZFVsqZw1QZ2sT2kM5lAABUFUlEQVQ68swjZQtwTJ52dz0vCgnOJ2qZvyYbgPgrxQT52tK1pTP/7rfu3LdKdx/mqSaRKoZ0KbsX/7z87v5NT8aX3TOvphuJT9bz4VMuxEao2HX8v9Oinq8t5u0//2VS3za4l1OaVykVfD2kC+8v30bbyXNQKiSah/rTJizwvp2f1CDAiwbXdWc1CPBi4PQ1LDl8nhfa1uNkcibzD5xl3hPdyp3beD9yVKtZ+PYYCrTF7D11kS+XrCfAy52mEcE3hV2x8zA9m9VDrbLu2gExtSR6NC77N1y0rfzFom4nIxemrzeiVkFkoESfZgrm/HNzpdFGCTFBEttP3qd/gPehLm29ePWZ0NL3Eyafuudr9uzsw55DWWRkld3zWjVxJ7aeC0+/bnnE04POKBa9qVQVunvdalyuh4cHL7/8Mi+//PJtrzN58mQ++OADs2OTJk1iQsPyx2rfyN3BDqVCIiPPvFU1I7cAL+eb5yUlZORwNSuXcbNWlx67tkdL7MQprHhtGL6uTtgoFIT6mMcjxMedw/FJdxy3ioi7bCQhreymbqM03eyd7CWzXkYne4mkTMv//v5eEk72Es/3Kfs5lQqJWjVkmkcqeH+2rtoKE3JhPrLRcFOPkuTgjDHf8rKvcn4ustFgtoCKMSsFhaMLKJR3dc3K0LBZe0LDy1Yy1elMN2ZNTiZuHmWrHuZmZ1AzxPLqfk7ObigUSjTZ5pPpNdmZuLhZXmUQIDTMtGVNapJ1KozX/k0VDk5cX8SQHJwwFtzhv6nRiCHtCorr0mFMu0LBgm/A1s7Ug1WUj8OjYzGkWmkZPWD/iQLOXiprkFLZmPKUq7OS7Ot6GV2dlcRfKX9F0yyNgcQU8wpHYoqO5vWrbj6zJQ9Knjp2Xkd8ctnvcW2UpbODhCa/LJ7OjgoSU++8JaxQC6lZBrzdTL2HmnwjKhsJezVmvYwuDgo0+darUJY+o/LNexMz8gvxsjBcJCEzl6vZeYybt6H0WOkz6v0ZrBj3CDU9XIj292LR8w+TW1SMzmDAw9GeYVNXEnOnYwzvgbuDLUpJIrPAvMsqI7/I4rxES1RKBRE13EgoWabzUGIamflF9PxlVWkYgyzz9T9HmLv/DH8/26fyEmCBu5OD6XfSmDdYZOTm4+VS/hB0hUIiqKSsEFnTl4vJ6cxYt/2mCuPBs5eIT8ngs6etPyfu7BWZq9cNG1WWdKA72pn3MjraSaRk37pQYDRSupJqcpaMn4dE03CJNfvNz4sMlFAp4Xj8/Vc416ako65hni/UNbzQ5eRiLNJSnJ6FUa9H7eN5QxhPtMnWW8l7x75M4s6W9V5fe0Z5uKnMehndXW05F3/7hrQaXrY0rufKe1+eNjseW9cV/xp2/DXLfB76B69FcOyUhpcnVe1UMuG/reqWyrzOxIkTGT/efAUxtVqNvGbqHV9DZaMkKsCbPecS6RRjaqkxGmX2nEtkcKub94MM8XZnySuDzY79tG4P+dpi3ujbFl9XJ1Q2SmICfYhPM++6v5SebbUtNYr1kGlWHjMt2lDbTyK5pIKoVkGgt8Te05ZbC89flfl+uXnBZ0AbJek5MluPGau35dlowJiaiE3NMPTnj5cclLCpGUbxke0WTzFcvYgqMhbT+mymyCvcvDHm5YDRVHCs6DUrg529I3b2ZcOWZFnG1c2LU0f3ElRSQSwsyOPC2eO07255yXgblYpataOIO7qXRs1NQ6ONRiNxR/fSqecgi+cAJFw0PQjc3K1UKDQaMKZeQRlYB/2FEyUHJZQ166A7uvOWp5aSJBRefhjiLbSWFhchA5KrFwqfQLS711VWzG9SpJUp0pr31Gdp9NQLsyvd8sJeLVEnSM36neVXhk7HF+HvbT4cyN/bhrQsK67qcCcekDyl1YH2hu0ycvKMRATZcCXN9DvZ2UKwr5LtR+58qxJbFXi5KdgbZ0rn5RQDeoNMRJANh8+afjsfdwUeLgouJllvSIbKRkmUnxd7LiTRKSoYKHlGXbjKYAtz6EO8XFnywsNmx37adIB8rY43erbA94Yhk852tgBcysjh5NV0Xugca52EXEelVBLl686eSyl0LFk/wCjL7L2UwqDYOxtOajAaOZeWQ+tQ0yrlvWKCaX7DarDPL95Kr5ha9Ktr/bnOKhslUUF+7D11kU4NIwHT77T31EUGd2h6x9cxyjLFupv/npbtOEx0kB8Rgb6VFufyFOuh+IZRtHmFMsE1JFJLKoi2NuDvCQfPVezaklRWAb1eg1CJs1ehQHvzZ9Ute/dhvHu0Mzvm1bkVWbsPAyDrdOQcPIFXp5Zl23NIEp4dW3JpyhyrxauwyHjTdhkZWcXE1nPlXLypE8TBXkl0mBMr199+2dkenXzI1ujYfcC87Dpv+RVWbzIfYfP7Nw35aVY8O/c/+ENUxbYalavCFcZp06bh5HTrhR9uN49RrVZbHIJa0XUGH2/bkHcXbSIm0Ie6gT7M2X6EQp2e/k1M8wTeXrgRHxdHXurRErXKhjBf81YkZ3tTHK4/PqJ9I96Yt47GIf40rR3AjjOX2RoXz7Rn+lcwdndv50kDHeorydDIZOVC51gluQWm3shrRnWz4eRlI3tOGSnWU/owuEanN93Arz/uZG/qqfQoWRCihpuEVg85eTKFVtw6TnvwX+y7DcGQkmBarj+2PZLKFt1J095cdt2GIOdr0O4w9f4WH92JbYM22HXoT/Hh7SjcvLBt2oXiw9vu+JpVQZIkOvceyuol0/DxC8Krhj8r5v+Mm4c3jZp1KA331aQxNGrekU49TQ0WXfsMY8YPkwiuE01IWAwbV82jWFtI6059AUhNTmDv1rXUa9waR2c3EuPPsuj3rwiPjiUwONxq6Sk+vBW7LoMwpCZiTElA1bAtko0tupP7ALDrOhhjXg7Fu9YAYNu0C4bkyxhz0pHU9tjGtkfh7E7RiT2l17SpUx+5MA9jbjZKTz/U7fqiv3ACQ0L5q0Raw99bNQzo4kpSuo7UDD2De7iTpdGz73jZCIV3n63B3mMFrNthqkSu3qrho7F+PNzZlZ2H86kTpKZzC2d+XVI238XRXoGXuw0eJXMh/X1Mt9TsXMNNcyYr04Oap/45pKV7czvSsoxkaIz0amVHTp7MkXNlDWJjH3HkyDkdWw+bbloPt7Pj2AUdmRojro4KerVSYzTCgVOmc4qKYdfxYga0tye/qIAircyjney5cFVPvBUrjACPt6rLu8u2EuPvRd1Ab+bsOk5hsZ7+saZ8/Paf/+Lj4sBLXZuanlE1bpgPbVfyjLru+PrjF3F3tMPP1ZGzKVl8vmY3HaNq0apOIFVheJMI3vt7D9G+HiXbapymUKenXz1T5e6d1bvxcXJgXHvTnoRTd5ygvr8nNd2dyC0qZtbe0yRpCni4vqmh181ejZu9eXnARiHh5WhHsKf5KrHW8niXlrw7cznRtfypG+zP3M17KCzW0a9VQ1Oafl+Oj5sz4x7uDMD0tduJDvKjprcHxXo924+fY/Xuo7w11HxP57xCLRsOnuTVR7re+JVVZu8ZmdbRElm5Mtn50K6ugtxCOH2lrGwwtIOC04kyB86ZjnWoJ3E+WUaTb2qAiQmSqOUD8/81L2e4O0GQNyzcevdDXytC6eiA43ULCzmEBOLSIJLizByKEpKI+Hg8dgE1ODLqTQAu/bqAWs8PI3Ly6yTM/BOvji3we7QH+/qOKb3GxW9/p8GMz8g+cJycfUcJHjcCG0d7EmYtrZI0XbNkdRKPDwwkMamIpFQtowfXJD2rmO17y0YjfTUpmu17Mlm2tqwSKUnQvaMP67ak3bRNyrXVU2+UmqYlOfU+rOEL97UKVxh/+eUXlMryF4qQJKnKFr7p3iCMrPxCpqzfQ3puARH+Xkx5sjeeJUNSk7NzUVRwTkTnuqG883B7ZvxzkM9WbiPY242vhncnNsT/9idXkm3HjdjaSPRrZYOdLVxOkZm1wXwPRg8XCUe7iqWtWYSSTg3Lfrune5p6T/7crufQOevd8PVnDlNk74S6ZXckBxeM6VcoWP4rcskCKwoXd4yUPYjkvGwKlk9F3a4/jsNfQ87LofjwVor3b77ja1aV7g+PoFhbyOxfPqYgP5ewqIa89O6PZnswpiUnkqfJLn3ftM1D5GqyWDH/ZzQlw1dfevfH0iGpNjYq4o7uYeNf89BqC/HwqkFsy070euQpq6ZFf/YIWntH1M0fQnJ0xph2lYKV00q3ypCc3FBc110tqe2x6/QIkqMzclEhxrREChb/iDGrbNK95OCMuk0fJAcn5PxcdKcOULzvzpZEr0wr/tGgtlUw5hEvHOwVnLpYxCe/ppjtwVjDU4WLY1n+OJ9QzJe/pzK0lzsDu7qRmqlj1opMth8sGyLUpK4DLwwu6/V95XHT/O7F67JZvD7baul5UPPUxn3FqFUSQ7raY6+WOH/FwJSl+Wb3Pi9XReniYABuThKjejrgYGcaxn/hip6v5uebDen/c0sRsgxP9XHARikRF69n4SYrrjpconu9ULIKipiy+QDpeYVE+Hoy5fGHSvdgTM7Jq/AzKi2vgC/X7iEjvxBvJ3t6NwxjTPuGVoi9ZQ9FBZFVqOXn7cfJyC8iwseNnx5tXzokNVlTYJam3KJiPly3j4z8IlzsbImq4c7MYZ2rfDXUW3moSQxZufn8vGoL6Zo8IgJrMGXsUDxLhqQmZeaYza8s1Bbzyfw1pGZrUKtsCPb14n9PPsxDTWLMrrt2/3GQZbo3rUt12X1KxtYGejRRYGcLCWmw8F/zPRjdnMDhujq7gx30aa7Ayc40EiA1G+b/ayT+hung9UMkNAVwwYp7L17PtXFdWm6aXfo++su3AEj4YylHR09E7eeNfc2y/bUL4xPZ13cM0V9NJHjsExQlJnNszDulezACJC1eg623B+GTxqH29UZzJI69vZ+iOLVqV/CZv/wqdmolr40JxcnRhmOnNLzxcZzZHowBNdS4upgX2xvXd8XXW83fm8tfeVl4cGRmZjJ27FhWrVqFQqFg4MCBfPfdd7ftyNu1axdvv/02e/bsQalU0rBhQ9atW4e9/Z3veSvJFdgwRKFQkJycXLroTWUrWm69RUSqg13/cbwz04pdd9Xg45G2aL4df/uA/yEuL3/N1hP/sUVMbqNdjCO5P7xe3dGoVM5jv+CxV+OrOxqVbtFXwQ9knnrx65zbB/wP+XG8K0ULP6/uaFQqu0FvUDD9veqORqVyGP0hhf/Mre5oVCr7jsP4ZOGDsKJdmbcGKVmtsjzX/7+sl+40HR7ZdfuA/yFblrSs7ijclaETrLdWwu3M+9Q6Iz569OhBUlISU6dORafTMWrUKJo2bcq8efPKPWfXrl10796diRMn0qdPH2xsbDhy5Aj9+vWr0IKjFeph/C+tYCYIgiAIgiAIgvBfFxcXx9q1a9m3bx9NmjQB4IcffqBnz558+eWX+PtbHgn5yiuvMG7cOCZMmFB6LCKi4o01FdqEqgKdkYIgCIIgCIIgCFVONhqr7aXVatFoNGavG7cTrKhdu3bh5uZWWlkE6NKlCwqFgj179lg8JzU1lT179uDj40OrVq2oUaMG7du3Z/v2ii9mV6EK46RJk247TlYQBEEQBEEQBOH/o8mTJ+Pq6mr2mjx58j1d09KUQBsbGzw8PEhOtjyR+MKFCwC8//77PP3006xdu5bY2Fg6d+7M2bNnK/T9FaowvvDCC6SlpZkdO3HiBKNGjeKxxx675RhaQRAEQRAEQRCEB9nEiRPJyckxe02cONFi2AkTJiBJ0i1fp05Z2K7sDhiNptWtxowZw6hRo2jUqBHffPMNERERzJgxo0LXqtAcxrFjx+Lv789XX30FmLo627Zti7+/P7Vr12bkyJH8X3v3HRbF0ccB/Lt7xx29g4iCFAUEFDuW2CWIkhg1sURsGI2vJjHGaKLRaDSWxCRqolFjQDRRMfYWO/YeDYoNLKCoIL1zB3c37x8nBwdHOeRAye/zPPc8sDu7O3OzO7ezMzsjl8sxcuRIrSJBCCGEEEIIITVBUYfzMJY3faAm06ZNw5gxYyoM4+LiAjs7OyQlqY+GK5PJkJaWBjs7zfO8NmyoHDXY01N97t/mzZvj8ePHVYpfEa0qjBcvXkRYWJjq/40bN8LS0hKRkZEQCoX44YcfsGrVKqowEkIIIYQQQkgFbGxsYGNjU2m4Tp06ISMjA1evXkXbtm0BABEREVAoFPD19dW4jZOTE+zt7REdHa22PCYmBgEBAVrFU6suqYmJiXByclL9HxERgUGDBkEoVNY73377ba37xBJCCCGEEEJITWGM1dlHF5o3b46+ffti/PjxuHz5Ms6dO4ePPvoIw4YNU42Q+vTpU3h4eODy5csAlLNbTJ8+HT///DO2b9+O+/fvY86cObh79y7GjRun1fG1amE0NTVFRkYGmjRpAgC4fPmy2gE5jnvpUYAIIYQQQgghhBTbtGkTPvroI/Tu3Rs8z2Pw4MH4+efiOewLCwsRHR2NvLw81bJPP/0UEokEU6dORVpaGnx8fHD06FG4urpqdWytKowdO3bEzz//jHXr1mHnzp3Izs5Gr169VOtjYmLg4OCgVQQIIYQQQgghpKawOnyHUVcsLS0rHGDUyclJYwvnl19+qTYPY3VoVWFcsGABevfujT///BMymQyzZs2ChYWFan14eDi6d+/+UhEihBBCCCGEEPJq0KrC2LJlS9y5cwfnzp2DnZ1dmZcs/f391QbFIYQQQgghhBDy+tKqwggA1tbWGDBggMZ1LVq0wIkTJ146UoQQQgghhBBSHfWxS2pd0mqUVEIIIYQQQggh/x1atzASQgghhBBCyKtKwRR1HYV6hVoYCSGEEEIIIYRopFUL46BBgypcn5GR8TJxIYQQQgghhBDyCtGqwmhmZlbp+lGjRr1UhAghhBBCCCGkumjQm5rFMU0zPBJCCCGEEELIa2jgR/fq7Ni7Vjars2Pryis16M38TbK6jkKN+nqEEHmnwus6GjXKsPswTFmRXdfRqFErppjgWfSNuo5GjbJ3b4lZIdK6jkaNWjROjKSZ9a8Hg+3ijViwpX6VfXOGC5F+/VRdR6NGWfh0r5f5NHVlTl1Ho0Yt+8gY/1uaUdfRqFGrp5sj9/zOuo5GjTLqPAg93r1Q19GocSe3d8IBPfe6jkaN6l8YXddRqBZqYaxZNOgNIYQQQgghhBCNXqkWRkIIIYQQQgh5GfTGXc2iFkZCCCGEEEIIIRppVWFcuXIlTZ1BCCGEEEIIIf8RWlUYv/rqK9jb2+P9999HRESEruJECCGEEEIIIdWiUCjq7FMfaVVhTExMxJo1a5CQkAA/Pz84OztjwYIFiI+P11X8CCGEEEIIIYTUEa0qjAYGBhg1ahROnDiBe/fuYeTIkQgJCYGzszP69u2Lbdu2obCwUFdxJYQQQgghhJAKMQWrs099VO1Bb1xcXDB//nzExsbi4MGDsLKywpgxY9CoUaOajB8hhBBCCCGEkDry0qOkchwHoVAIjuPAGKMWRkIIIYQQQgipJ6pdYYyPj8f8+fPh4uICPz8/PHv2DOvWrUNCQkJNxo8QQgghhBBCqowxRZ196iOhNoELCgqwc+dOhIaGIiIiAg0bNsTo0aMRHBwMFxcXXcWREEIIIYQQQkgd0KrCaGdnh7y8PAQGBmLfvn3w9/cHz790r1ZCCCGEEEIIqRH1dfCZuqJVhXH27NkYOXIkbGxsdBUfQgghhBBCCCGvCK0qjJ999hkA4N69e9izZw/i4uLAcRycnZ3xzjvvULdUQgghhBBCSJ2iFsaapVWFEQAWL16MOXPmgDEGW1tbMMaQnJyML7/8EosWLcLnn3+ui3hWqEdLHq2bctDXA+KTGf6+okBadvnh2zbj0K4ZD3Nj5f/JGcDpmwrcf1Z8clkYA35teDjYcBAKgPvPGA79o0CuRLdpAYCtJy5hw5HzSM3MgVvjBvhieD94OzfWGPb4tdsIOXgG8UlpkMnlcLS1wki/zgjs5KMW7mFCMlbsOIprMXGQKRRwaWiDHyYORUMrc90n6IWAjiJ08taDgZhD7DM5tp2QIDmjahd0n3YivNVFjJP/FmDXaalquYkhhwFviOHuKIBYxCEpXYGjVwpw/b5MV8lQ2XXgELbu2ou09Ay4OjfBJxOC0dytmcawsY/jsX7TVsQ8eIjnScmYPG4M3h3QXy2MXC7Hhi3bcPTkaaRlZMDa0hL+vXpg5NDB4DhO5+kpqU8bAdq5C2AgAh49Z9hzXobUrKrlVbeWAvRtL8S5mzIcuCRXLX+nixCu9jxMDYGCQuBRkgKHr8iRnKn7Qt2gY28YdusH3tgMssR4ZO/9A7InDzWGNR8/EyKX5mWWS+9GInPDT6r/jfoMgn77HuANDFH46B6yd4dBnvpcZ2nQpHsLHq1dX5R9KQwHryiQllN++LZNObRtxsPcSPl/cqay7HuQUJwHRvpAn1Y8XOw4iPSA1Czg7C0F7j7RfT5tP3QCf+47grSMTDRt0hjTgofDq6mzxrC7j53BwdMX8DD+GQDA3cUR/xs+UC38/FXr8fepC2rbdfTxwvKvpuguERrUt3wCgL4dROjkJYS+mENcghzbTkqRUsVruXcbPQR2FuNUZAF2ny0AAFiYcPh6tJHG8GEH83H9gVzjupoW2EUfb7QUwUDM4eEzGTYfyUdyRvmDWPTvrI/ALvpqyxJT5fgmtPgm5I2WIrRvLoJDAwEMxBw++zkT+VLd59PW4xew8eBp5b2Eox1mjHgb3i4OGsMe/+cmQg+cRPzzVOW9RANrBPV9A4Gd26jCrNl9DEcu3UBiWgb0hAI0d2qEyYPeRAtXR52npbSxQx0Q2McWxoZC3IzOwk+/xeJpYvk3aOG/toadrX6Z5bsOJWLF77Flln/3lQd8W1tg9nd3cfZKeo3GvSTLN9rBZdo4mLXxhr69Lf4ZPAnP9x6veJtuHeD5w5cw9mwGSXwC7i9ejScbd6mFafK/9+Hy2TiI7WyQdeMubn26AJlXonSWDlL/aVVhPHHiBGbPno05c+ZgypQpsLCwAACkpaVh+fLl+PLLL9GhQwd069ZNJ5HVpLMnhw7uHHZfUCAjh6FnSx4jegrw63455OWU8dl5wPFIBdKylQW2jwuPod14/HZQjuRMQE8AjOglwPN0hj+OK3+kerTkMay7ACGHdfujdfjKTfy47TC+GvEWvJ0bYfPxi5i04g/snv8xLE2Ny4Q3MzLAB/26wcnOGnoCAc5ERWPeht2wNDVCZ6+mAID4pDQEfx+Cd7q0wf/e7gkjfTEePEuCWE/r5wXV1rutCN1aibDpiARpWQr06yjCxHcMsfiPXMgq+UodG/Do7K2Hp8llAwa9qQ8DMYd1+/KRm8/Q1l0PYwL08UN4Hp4m626kqogz57A6ZAOmTpqA5m5NsX3vAcyYuxAbV6+AhblZmfBSqRT2drbo0aUTVoWEadznlh17sOfgEXz56WQ4Ozog+v4DfPfzrzAyMsTgt/rpLC2ldWspQCdPAbafliE9m6FPWwHG+uth+c6CSvOqkTWHDh4CJKSW/e6fpigQ+UCOjBwGQzGH3q0FGNtXD0v/KgDT4b2TuIUvjPu/j+zdYSiMfwDDLv4wD56O1B9ngOWWfbKU+efP4ATF1wZnaAzLT76FNOqyaplht/4w6OyHrG3rIE9PhrHfYOU+l80EZLUztVDn5hw6uHHYc1GBjFyGHi14vN9TgNUHyi/7svKAiKKyjwN8nHkM7cpj3SE5krOUYQZ05KEv4rD1tBx5UsDbicPgLjxCjsiRqLv7Jhw9fwUrNm7DF+NHwKuZM8IPHMenC1dg6/L5sDQzLRP+2u1o+HXpgJburhDpCfHHnsOY8u1ybP5pHmwtLVThOrbywpxJY1T/6wlrr9wD6l8+AUCvNnro5qOHzcckSM1iCPAVYeLbBliyOa/SMsLBlkcnbz08TVEPmJHD8HVortqyTl5C9Gwtwp3HtVNZfLODGD3biLHhYC5SMxV4q4sBPnnPCN+EZleYrmfJcqzYVvwEoHS+ivQ43IotxK3YQgzsbqCj2Ks7fOkGfgo/gFmj3kELFwdsOnoOk38Mxa7F0zTfSxgbYlxgTzg1tIGeUIAzkXfxTcgOWJoYo3MLNwBAkwbW+CLobTSysYS0sBCbDp/F5B9DsWfJ57DQsE9dGf6OPQb3s8PilfeRkCRF8DAHLJ3THGM+jURBoeYfkw+/jIKAL37w6uxgiB/neuLUhdQyYd8NbKjT36SSBEaGyLoRjfiwHWi3fVWl4Q2cGqP93rV4/Fs4Ikd9DqtendBi7beQJCQj5ehZAEDD9wLQfOlM3Jw8FxmXr8P5k9HwPRCCk159UZCcpuskkXpKqxFr1qxZgw8++ADz5s1TVRYBwNLSEvPnz0dwcDBWr15d45GsiK8HjzM3FYh5wpCUAey+oICJIeDhUH6LTMxThvvPGNKygbRs4MR1BQpkyptdAHCw4WBuBOy5oEBSBpCUofzb3gpwttNtS8+fR89j0BttMaBLa7ja2+KrEYHQF+lh97l/NYZv5+6MXq2bw6WhDRxsLfF+705o1qgB/r3/SBVm5e7jeMO7GT599014ODaEg60lerTy0PijoSvdW+vhyGUpbj6U4VmKAn8ekcDMiEML14pv3kR6wEh/A4QflyBPwxNZ54YCnL5egMfPFUjNYjhypQD5UsDBVqCrpAAAtu3Zj/5v9kZAn55wcnTAZ5MmQF8swsFjERrDezRrioljR6FXty7Q09PTGObW3Wh08W2HTu3bwq6BLbp36YR2rXxwN+a+LpNSRmcvAU5EynHnsQKJ6QzbTslgYgh4Nqm4uBAJgaE9hNh1thD5BWXXX4lWIC6RISMHeJbKcPSqHObGHCx0fBoadu2L/CsnIbl6BvKkZ8jeHQZWIIVBu+4aw7P8XChyMlUfUTNvsMICSEpUGA26+CP3xF4U3LkGeWI8sv5aC97EHGLPNhr3qQsd3HmcuaVAzFNl2bfnogImBoBH4/LLqHvPGO4nMKTlvCj7bqiXfQDgYM3hSowCz9KAjFzg7C0GSSFgZ6Hbsm/L/qMY0PsNBPbsAufG9vhi/Ajoi0TYf+KcxvDzP/kA7/r3gJuTA5waNcSsiaOgYAz/RN1VCycSCmFlbqb6mBprbsXSlfqWTwDQ3UcPR/4pwM1YORJSFdh8TAJTIw4tXCovz4Pe1MdfEVLkS9XXMQZk5zG1TwsXISLvy1BQS9M792orxsGLEty4L8PTZAXC/s6FmTGPVs00l9lF5AzIymWqT26++m9VxFUpjlyWIjahdiq+ALDpyBkM7NYeA7q2g0ujBvhq1DvQF4mw58w/GsO383BBr7ZecLG3hYOtFd5/swuaNbZD5L04VZiATq3g69UUjW0t4dqoAT4b3h85+VLEPEmspVQpvdu/If7Y8QTnrqTj4aM8LP7lPqwtRHijg2W522RmyZCWUaj6dGprgacJEkTeylIL19TJEEPfaojvf32g62QAAJIPn0bM3OV4vudYlcI3mTAM+bFPcGfGd8i5+xCPft2ExB2H4TxljCqM86djER/yF55s2ImcOw8QNWku5HkSOIwZrKNUvJoUTFFnn/pIqwrj5cuXMXLkyHLXjxw5EhcvXnzpSFWVuTFgYsDhYWJx4SwtBJ6mAI2tq/ajyXGAVxMOekLgSbJyP8IXdY2STwllcuUPmqON7n6MC2Uy3HmcAN/mxe+C8jwP3+YuuPEwvtLtGWO4dOch4p6noG0zJwCAQqHA2agYODawwqTlG9Fr2vcYueg3nPj3jq6SUYaVKQczIx4xJZ4SSwqAR4lyONtVXLF7r4c+bsfJEBOv+Yc2NkGONm56MBQDHIDWbkIIhcD9J7rrklpYWIiY+w/RtlVL1TKe59HGpyVu3Y2p9n69PNxx7cZNxD9VdrG7HxuHm7fvokPb1i8d56qyMAFMDTk8eFZ88ksLldeGo23F5/7bnYW4G6/Ag2eVP5rVEwJt3HikZTFk5lYavPoEAgjtnVBw/1bxMsZQ8OA29BybVmkXBu26QXrjIlCorAXzFjYQmJqjsMQ+mTQfhfEPq7zPl2VupCz7YkuXfanqlYqKcBzg5fii7Esp3k98CoOnIwd9kfJ/L0dlt/xHSbp75F4okyH64WO0b1HcFZjnebRv0RxRMZq7DpcmkRZALpOXqRBeux2DgA+mYciUOfhu3SZkZlfQF7SG1bd8ApTluakRr1YmSwqAR88VcLKr+Jbi3e5i3ImTIeZJ5RWnxjY8GtsIcOl27dQWrc14mBnzuPuo+LdDUqD8jXG2r7gibGvOY/H/TLFgvAnG9jeEhUntvkJQWqFMhjtxz+DrVVwe8TwPX09X3Lj/uNLtGWO4dPs+4hKT0cZdc5fwQpkMO09ehrGBPtwcGtZY3CvT0FYMKwsRrt7IVC3LzZPj9r0ceLqZVGkfQiEHv27W+PtEktpysYjH7CnNsPz3WKRl1NJTCi2Zd2yFlAj1bvbJR8/ComMrAACnpwezNl5IOX6+OABjSIk4D/OOtXcvQeofrfrmPH/+HE5OTuWud3Z2RmJi7T1pMn7RHT03X315joTBuJJeH7bmQPCbAggFQIEM+Ou0AikvHjQ9SWEokAG9W/OIiFSAg/JvnudgbKC7H+P0nDzIFYoyLX9WJsaIS0gpd7vsPAn8v/gRhYUy8DyPme/3R0dPVwBAWnYu8qQFWH/oLCYP6IUpg/1w7uZ9TFuzFb99Ngbt3J10lp4iJkbci3iqf3fZeUy1TpPWbkI0tuXxY3heuWHC/s7H6H4GWDzRBHK5Mt9C9udX+V2a6sjMyoZCoSjT9dTC3AyPnz6t9n7ff/cd5OXnYfSkT8HzPBQKBcYFDYdfj64vG+UqMzFQ5kdOqSfkOfkMxgbl51VLFx72Vhx+3VtxRd23OY++7YUQ63FIzlAg9FBBud3yagJvaAJOIIAiR/0psiI7E0Kbym9yhI1dILRzQNaOkOJ9mijzXZGTqRZWkZMJ3sT85SNdBUXlW+l3qnMlTFUulsfWDBjrV1z2bTtTXPYBwI5zCgzuwmP6YCHkCobCF2HSdVjPysjKUZZ95updTy3MTRD3LKFK+1i1aQesLc3UKp2dWnmhh29r2Nta42liMlZv2Y2pi37GuoVfQlALU0LVt3wClO+NA0BOqfI8J0+hWqdJ62ZCNLLhseyv/HLDlOTrqYfENAXiEmvnab3pi9+irFz142XnKlTrNIlLkGHjQTmep8thasSjf2d9TBtuggXrsyCtozpHRrbmewlLMxPEJSaXu112ngR9P1uMQpkMPMfjy5ED0NFL/b3805F3MHNNOCQFhbA2M8Hqz4NhYVJ7rfaWFsrW3tIVuvTMAliaV9wSXOSN9pYwNhLiUKkK4+QxTrgVnY1zOnxn8WWJG1hD+lz9flD6PAV6Zibg9cXQszADLxRCmpRaKkwqjNz/WwNT0qA3NUurCqNEIoFIJCp3vZ6eHgoKNPRFK0UqlUIqVe+PIhaLAVTc2uTtxCGwQ/GP/JaT1e/ekZIFrP1bDn0R0NyRx4BOPDYclSMlC8iTAtvPKNCvAw9fdwEYA24+YniWymqtX7s2jPRFCJ8zEfnSAly68xA/bjuMxjYWaOfuDMWLCPdo5YEgv84AAHeHhrj+IB7bT1/RSYWxrbsQQ3sV3w2t3Vu1G4SSzI05DO4uxq+78it8d6RfJzEMxBxW7cxDTj5DS1chxvQzwM/b8jS+R/cqO3n2Ao6dOovZ06bAybEx7sfGYdXvYbCytEDf3j10ckwfVx7vdCkuBjYe0f4Ox8wICOwoROjBwkrfX4q8r8D9p4UwMQS6egswvJce1u6vfLu6YtCuG2QJj8sdIKe2eDfh0L99ibLv1EuUfdnAb4fkEOsBno483u7IY+Nxuaoy0qMlD309Dn9EyJEvZXBvrHw3bsMxOZIyK953Xdm4+yCOnbuCVfM+h1hUfNPo16WD6u+mjo3RtEljDP74K1y7Fa1Wsawp9TGf2rgJMaSHWPX/uv3VK88HdhVh9R5Jla51PQHQ1k2II1cqv5+orvbN9fD+m4aq/3/dUb2a9q3Y4odkT5MViEvIxcIPTdHWQ4TzUbqLvy4Y6Yuw5ZuPkS8twOXbD/BT+AE0trVEO4/iikb75q7Y8s3HyMjJw65TV/DF6i3YOGeSzl5x6dPVGtMmFB//y8V3KwhdNf162+LSv+lITS/+vevczgJtWphi/PQbL71/Quojrd/+//3332FsrLlgyM6uYGjSEhYvXoxvvvlGbdncuXPBN5td4XYxTxjWlnhRvqjrqJEBkFPiCa6xPofE9IprdgoFVE9iE9IUsLfk4evB48BlZSXjYSLDyr1yGIiVYaWFwGeDBLj1SHc1RgtjQwh4HmlZ6j9cqdk5sDIrvzDmeR6OtlYAlJXB2MQUhB48g3buzrAwNoSQ5+HSUH3uTJeG1vi3Cl1TquPmQxkeJRb3MxQKlE9nTQw5ZJV4Km1iyJU7MI2DrQAmhjw+H178gy7gObg2Yujqo4dpK3NgacqhWysRFv+Ri8Q05X6epRTAxV6Arj56+CtCqnHfL8vM1AQ8zyM9Q/2uLD0jE5bm5tXe75qwPzB88Dvo1a0LAMDFqQmeJ6Vg8/ZdOqsw3nmsQHxS8U1NUV4ZG3DILtHKaGzAISFNc17ZW/MwNuAw+Z3iG3UBz8HJjkNHTwG+Dise1EZaCEgLGVKzgPgkGeYEieDZhMeNh7qp3CvyssHkcvDG6i1XvIkZFNmV3FXriSD26YjcozvV9/liO95YfR+8sRlkCY+gCzFPGZ6mlij7XtRJjPTVyz4jLcu+xHQFGlry6ODO4+8rClgYAx3ceKw5IFMNrvI8g8HBhqFdMx5//6ObfDI3NVaWfRnqLcHpGdmw0jCIVEmb9h7Bxt2H8MucqWjWRPNo0kUaNbCBuYkxniQm6aTCWB/z6VasDD88L/m7+6KMKFWeGxvyeJaiuTbY2IaHiSGPaUOLu/4IeA4u9jzeaKmH6atz1R7G+jQVQk8IXLmruya6G/cLEZdQfM9SdD9hasQjK7c4HSZGPJ4kVb3iny9leJ4mh4257luwy2NuovleIi0zG1am5Xfb5Hkejg2sAQDujvaIfZaE0P0n1SqMBmIRHBtYw7EB0NLVEQO++AG7T/+D4MAeOknLuStpuHOvOB16QuX5Z2mup9bKaGEmwv24yt9vaGAtQtsWZvj6h2i15W28zWDfQB/7N3RQW/7N5+6IupuFT+fefplk1Bjp8xSIX+RREXEDaxRmZkMhkaIgJR0KmQziF/eExWGsIE0sv6caIZXRqsLo6OiIdevWVRqmMjNnzlTN6VhELBbju+0Vb1cgAwpKPQTMzmdwbsDh+YsfX5EQaGQN/HNPu4odxwECDeV70Yv5Tg04GOkrK626oicUorljQ1y6+xA9WytvZhQKBS7ficXQnh0q2boYUzAUvHiMqycUwtOpER6VKigePU/V2ZQa0kJAqtYllCEzVwE3BwGepihvZMQioImdAGejNN8QxMTLsORP9cL/fT99PE9T4PhVZQVE9OKHo3Srr0I5sKDO6Onpwa2pC65dj8IbHZX5olAocO1GFAb271vt/UqlUvClps/geR5Mh83aBYVAmloWMGTlMbja80hIU55DYj2gsQ2HS3c1x+PBMwVW7FR/kj64qxDJmQynb8grbpXnim/UdEIuh+xZHESuXii4fe3FMTmIXD2Rf6HiQQb0W3QAJxBCEnlebbkiPRnyrAzouXpClqB86MKJ9aHn4IL8SxUPh15d5ZZ9dhyeZ5Qo+6yAq9Uo+4oqNnov8qL0HhhThtMVPaEQ7i6OuHLzLrp3UL5no1AocOXmHbzXt2e52/2x5xDCdv6NFV99iuauTpUeJyk1HZk5ubCyqLgSWl31MZ80ledZuQq4NRbgWVF5rgc0acDj/E3N5fm9J3J8t1n91YLhvcVISlfg+LXCMmWEr6cebsXKdTqNlbQQZabLyMxRwN1RqKog6ouUA6udiaz6w0exHmBjzuPy7brr4aInFKK5kz0u336Anm28ABTdSzzA0N6dqrwfBWMolFX8mgFjDAWVhHkZ+RJFmekyUtML0KaFGe7HKc8pQwMBPJsZY++Ryl+JCuhli4ysQly8qt7tdPPupzhwXH1apPXLWmHVhjic/+fV6aKacTESNgHqMxFY9+6M9IuRAABWWIjMa7dg3atT8fQcHAernp3w6Nc/azm2dYspXq9eZq86rSqMcXFxNXJQsVj8ogtqadoXOpfuKtDVm0da9oshy1vyyM4D7sYX/wKN7M3jbjzDlRjlsl6teNx/pkBmrrJw93bi4dSAw6aI4pPLx4VDSiZDnlQ5gI5/Ox4X7zKkVq0RtdqC/Drj6/W74NmkkXJajWMXkF9QgAFdlDdRs0N3wtbcBJ8M8gMAhBw8Da8mjdDYxgIFMjnORsXgwMXrmDkiULXP0f5d8MVv29DGrQnauTvj/M37OH0jBuumjdFtYko49W8h3uwgRnKGcjTTfp1EyMxliHpQnOeTBxngxn0ZztwohLQQZbqUSgsZciVMtfx5ugLJGQoM6S3GnjNS5EoYWroI4e4owLq9uu0K9N6AQCxZvgpuTV1V02pIJFL07a28uV207BfYWFpi/OgRAJQD5TyKfwIAkMlkSElLxf2HsTDQ10cje+W7dJ3at8Wf23bC1sYazo4OuPcwFtv27ENAn146TUtp52/J0bOVAClZDOnZDH5tBcjOA24/Ks6PcQF6uBUnx8U7ChQUQvXApkiBDMiTMNVyCxOgpbMA954qkCthMDPi0L2lADIZEB2v20I978whmL43HrKnsSiMfwjDLm+CE4mRf/U0AMDkvQlQZKUj9/A2te3023WH9PY1sLyyXdXyzx2GUa8BkKc+hzxNOa2GIjsD0qJKaS24HK3AG14vyr6cF2VfPtTm4QvqyePuE6Z6gNbL50XZlweIhS/KPlsOm04q8yAlC0jNZujXXoBj/8qRXwC4N+bgYsch/JRu82l4oB8WrFqP5i5N4NnUGVv/PgaJtAD9eyhb3L9ZGQobS3NMen8QAGDj7kNY99defPPJODS0tULqixZ/A30xDPX1kSeRIGTbfvT0bQNLc1M8fZ6MlX/uQGM7G3T08dJpWkqqb/kEAKeuF8KvnQjJGcqpPwJ8RcjKZYh6WFye/2+APqIeynE2SlmeJ5bqoVAgU77LWXq5tZmy5XHdvlqY9LiUiKtS9OskRnK6HCmZCrz1hgEycxSIvFdcEZ4yxAiR9wpx6l/lb8ygHvqIul+I1CwGc2MOgV30oWDAlTvF25gaKQcKsn3R6tjImoekEEjLUiBPopsHgiPe7Iq5v2+Dp1MjeLk4YPORc8iXFuDtN9oCAOas+wu25qb4+D3lQ87Q/Sfh6dwIjW2sUCCT4dyNaPx94V/MHPkOACBfWoDf951A99bNYW1mgoycPPx1/AKS0rPg176FTtJQnu0HEjBycGM8SZAgIUmKccMckJJegLOXi6eM+HGuJ85eSsOuQ8WVSI4D+va0xeGTyWXenS8aPbW0pGQpEpN001sJUE6rYdS0uKHF0LkxTH08UJCWCUl8Aty//Qz6jRrg+tgvAACPfgtHk0kj4LF4OuLDdsC6Z0c0fC8AV97+ULWP2OXr4RP6HTKu3kTmlRtw+mQ0hEYGiN+ws8zxCamq2p2QSgfO32YQCRkCfXnoi4DHSQybTqjPb2VhzMFQDBQ9jzUSA+90EsDYQPmU8Xk6w6YIhdpoq9amHHq34mEgejFk+U0FLpbTwlKT/Nt7Iz07F6v3RiA1Kwfuje2w6pORsHrxfkBiWqZaK5REWohFm/cjKT0LYj09ONlZ49txg+Hf3lsVplfr5vhqRCBCD53B9+EH0aSBNZZOHIrWzZroPD1Fjl8tgEgPGNpb/8WEyHKs2a0+Z5eVGQ+jCgZWKU2hANbuycNbXcSY8LYBRHocUjIU2HREgttxun0prlfXLsjMzELY5q1IS8+Aq4sTvpv3FSwtzAEASckpavmUmpaO8Z/OUP2/ddc+bN21Dz7enli+SNk9+5MJ4xC6KRwr1vyO9MxMWFta4q2+fhg19F2dpqW00zfkEAmBgV2E0BcBj54zrD+s/p6hpQkHI/2q55VMDjjZcejirQd9EZCTD8QlKrBmf6FOWxEAQBp1CTnGJjDqMwi8iRlkCY+RsX4p2IuBcATmVmWaqQXWdhA5uyM95DuN+8w7fQCcSAyTgWPB6xui8NE9ZKz/odbmYASA83cY9IQM/du/KPuSGTafrLjsMxQDAzqWKPsyGDadVKhG8VQwIPykHL1a8RjaXQCREEjPVk4FcT9Bt+WfX+f2yMjKxrq/9iI1IwvNnBpj2axPYPViIJzElDRwJa6pnUdPoVAmw6yf1qrtZ9y7gRg/5G3wPI/7j5/g71MXkJ2bB2tLc/i29MSEoQMgKmdqG12ob/kEABHXCiESchjSU/kOeWyCHGv3qb9vbm3Gw8hA+8prh+Z6yMxhiK6luRdLOnJZCpEeh/f9DWEo5vDgqQy/bFefK9jGXABjg+IFFsY8gt8ygpE+h5x8hgdPZPh+U47awGFdfcQI7FL8Xv+095XdQjf8nYeLt3TzcNPftyXSs3OwevcxpGZmw92xIVZ+NhZWZspjJ6ZmqP1G5UsLsHjjHiSlZ0Is0oOTnQ0WjB8Kf1/laOA8zyEuIRn7z11DRk4uzIwN4eXUGCEzJ8C1UQOdpKE8W3Y/g75YgM8/dIGxkRBRd7Mw49s7anMwNmoghpmp+i1u25ZmsLMR4++IpNK7rDNmbb3R6fgfqv89f5gFAIjfuBM3xs2EuKENDEqMQpsf9wRX3v4Qnj/OhNPHoyB5koioD2er5mAEgIRtByGysYTb3E8gtrNB1vU7uBz4AQpKDYRT39GgNzWLY1r0d+vXrx+2bNkCMzNld54lS5Zg4sSJMH/x3lZqaiq6du2K27er19d7/ibddWuoC1+PECLvVHhdR6NGGXYfhikrdNzMWstWTDHBs+j69aK7vXtLzArR3VPRurBonBhJM0fVdTRqnO3ijViwpX6VfXOGC5F+/VRdR6NGWfh0r5f5NHVl7U0zUhuWfWSM/y3NqOto1KjV082Re75+tQ4ZdR6EHu9eqDzga+bk9k44oOde19GoUf0LoysP9ArqM1zznKO14diWdnV2bF3R6q3sw4cPq41uumjRIqSlFXcBkMlkiI5+PU8sQgghhBBCyOuPMUWdfeojrSqMpRsjdTkYByGEEEIIIYSQulV34z4TQgghhBBCCHmlaTXoDcdxaoMOFC0jhBBCCCGEkFeBgga9qVFaVRgZYxgzZoxqSgyJRIKJEyfCyMgIANTebySEEEIIIYQQ8nrTqsI4atQotRbFoKAgjWEIIYQQQgghpC4wRf0cfKauaFVhDAsL01E0CCGEEEIIIYS8arSqMAYHB1cahuM4hISEVDtChBBCCCGEEEJeDVq3MDZp0gStW7emKTUIIYQQQgghrxxGg97UKK0qjP/73/+wZcsWxMbGYuzYsQgKCoKlpaWu4kYIIYQQQgghpA5pNQ/jqlWrkJCQgBkzZmDfvn1wcHDAkCFDcPjwYWpxJIQQQgghhNQ5xhR19qmPtKowAoBYLMbw4cNx9OhR3L59G15eXpg0aRKcnJyQk5OjizgSQgghhBBCCKkDWnVJLY3neXAcB8YY5HJ5TcWJEEIIIYQQQqqF3mGsWVq3MEqlUmzZsgV+fn5wc3NDVFQUVq5cicePH8PY2FgXcSSEEEIIIYQQUge0amGcNGkSwsPD4eDggODgYGzZsgXW1ta6ihshhBBCCCGEkDqkVYVxzZo1cHR0hIuLC06dOoVTp05pDLdz584aiRwhhBBCCCGEaIMp6ufgM3VFqwrjqFGjwHGcruJCCCGEEEIIIeRVwv5DJBIJmzt3LpNIJHUdlRpTH9PEWP1MF6Xp9UBpej1Qml4f9TFdlKbXA6WJkJrBMfbfmUAxKysLZmZmyMzMhKmpaV1Hp0bUxzQB9TNdlKbXA6Xp9UBpen3Ux3RRml4PlCZCaobWo6QSQgghhBBCCPlvoAojIYQQQgghhBCNqMJICCGEEEIIIUSj/1SFUSwWY+7cuRCLxXUdlRpTH9ME1M90UZpeD5Sm1wOl6fVRH9NFaXo9UJoIqRn/qUFvCCGEEEIIIYRU3X+qhZEQQgghhBBCSNVRhZEQQgghhBBCiEZUYSSEEEIIIYQQohFVGAkhhBBCCCGEaPRaVhgTExPx8ccfw8XFBWKxGA4ODnjrrbdw/PhxAICTkxM4jgPHcTA0NESLFi3w+++/q+3j5MmT4DgOGRkZav9bWFhAIpGohb1y5Ypqf7WtKF7lfXr27Im4uDhwHAdbW1tkZ2erbd+qVSvMmzdP5/EcM2YM3nnnHdXfHMdhyZIlamF2796t9h2WTBvP8zAzM0Pr1q0xY8YMJCQklLv/kkrno1wux5IlS+Dh4QEDAwNYWlrC19e3TP5XR1XOu+XLl5fZbt68eWjVqlWZ5U+ePIFIJIK3t7fG4506dQq9evWCpaUlDA0N0axZM4wePRoFBQUvnRZNqppvcrkcy5YtQ4sWLaCvrw8LCwsEBATg3LlzqjCrV6+Gubk54uPj1fb18ccfw83NDXl5eTpJQ1UUpZPjOOjp6cHZ2RkzZsxQu+6L1l+8eFFtW6lUCisrK3Ach5MnT9ZyzMu6cOECBAIB+vfvX2ZdQUEBli5dijZt2sDIyAhmZmbw8fHB7Nmz8ezZM1W4kt9HyU/fvn1rMylqSudRgwYN4Ofnh9DQUCgUClW40tfc9evX8fbbb8PW1hb6+vpwcnLC0KFDkZSUVAepqNq5BlReFpTMFyMjIzRr1gxjxozB1atXayMZ5cZF06fk742HhwfEYjESExPV9pGbmwtXV1d89tlnasvj4uJgamqKdevWVStuJb9vkUiEpk2bYv78+QgKCqowzk5OTgCAHj16qJbp6+vDzc0NixcvhqaxATVde+VdS5qO8+mnn6rt79atWxgyZAhsbGwgFovh5uaGr7/+WudlZek4W1lZoW/fvrhx44ZOj1uVeGn6zQcqvs7nzZtX6TlaZMuWLRAIBJg8ebJqWclzQNOnR48eL5UmjuMwceLEMusmT54MjuMwZswYtbAVlcsl73UNDAzg5OSEIUOGICIiQhXmxx9/1HhfCwB5eXkwNTXFzz//XO00kf+O167CGBcXh7Zt2yIiIgJLly5FVFQUDh06hJ49e6pd9PPnz0dCQgJu3ryJoKAgjB8/HgcPHqx0/yYmJti1a5faspCQEDg6OtZ4Wqqic+fOSEhIKPNZu3YtOI7DpEmTVGGzs7Pxww8/1Ek8S9PX18d3332H9PT0SsNGR0fj2bNnuHLlCr744gscO3YM3t7eiIqK0vq433zzDZYtW4YFCxbg9u3bOHHiBCZMmKCqUFZXVc87bYSFhWHIkCHIysrCpUuX1Nbdvn0bffv2Rbt27XD69GlERUXhl19+gUgkglwuf6m0VKSyfGOMYdiwYZg/fz6mTJmCO3fu4OTJk3BwcECPHj2we/duAMDEiRPRoUMHjBs3TrXt8ePHsXr1aoSFhcHQ0FBnaaiKvn37IiEhAQ8fPsSyZcuwdu1azJ07Vy2Mg4MD1q9fr7Zs165dMDY2rs2oVigkJAQff/wxTp8+rVYJlEql8PPzw6JFizBmzBjVOfTzzz8jJSUFv/zyi9p+ir6Pkp8tW7bUdnI0xikuLg4HDx5Ez549MWXKFAQGBkImk5UJn5ycjN69e8PS0hKHDx/GnTt3sH79etjb2yM3N7cOUqBUlXOtorKgyPr165GQkIBbt25h1apVyMnJga+vLzZu3FgbyVApeY4sX74cpqamass+//xzAMDZs2eRn5+Pd999Fxs2bFDbh5GREdavX49ffvkFZ86cAaAsW8aOHYsuXbpg/Pjx1Y5f0fd97949TJs2DfPmzUOzZs3U4ggUf58JCQm4cuWKavvx48cjISEB0dHRmDlzJr7++musWbOmzHE0XXsrVqyo8nFKunjxInx9fVFQUIADBw4gJiYGCxcuRFhYGPz8/HT2kLBIyev/+PHjEAqFCAwM1Okxq6uy6/zzzz9Xy4PGjRur7gdL5gugzMMZM2Zgy5YtqgrVzp07VeEuX74MADh27Jhq2c6dO18q/g4ODggPD0d+fr5qmUQiwebNm8vcZ1alXC5KW3R0NDZu3Ahzc3P06dMHCxcuBACMHDkSubm5GuO9fft2FBQUICgo6KXSRP4j2GsmICCANWrUiOXk5JRZl56ezhhjrEmTJmzZsmVq6ywtLdnUqVNV/584cYIBUG1T9P/s2bNZnz59VOHy8vKYmZkZmzNnDntVvq7bt28zExMT9tVXXzHGGIuNjWUA2PTp05mxsTF7/vy5KqyPjw+bO3euzuM0evRoNmDAANXfgYGBzMPDg02fPl0VZteuXWrfYek8KJKXl8fc3d1Zly5dNO6/pNL78PHxYfPmzauxdBWp7nnHGGNz585lPj4+assUCgVzcXFhhw4dYl988QUbP3682vply5YxJyenmop+lVQl38LDwxkAtnfv3jLbDxo0iFlZWam+o8ePHzNTU1O2evVqlpmZyRwdHdX2W1c0nUuDBg1irVu3Vv1fVBaYmpqyvLw81XI/Pz9VWXDixIlairFm2dnZzNjYmN29e5cNHTqULVy4ULVu8eLFjOd5du3aNY3bKhQK1d/lXVt1qbw4HT9+nAFg69atY4ypX3O7du1iQqGQFRYW1mJMK1aVc62ysoAx5fm4a9euMstHjRrFTExMWFpaWk1HvUrWr1/PzMzMNK4bM2YM+/LLL9nBgweZm5ubxjBTp05lrq6uLCcnhy1btoyZm5uzJ0+eVDs+mr5vPz8/1rFjR7Vl5X2f3bt3Z1OmTFFb1qZNGzZw4EC1ZRVde9oeR6FQME9PT9auXTsml8vVwkVGRjKO49iSJUs07r8maPrOzpw5wwCwpKQknR23MuWVAdpe5+X9Lj98+JAZGBiwjIwM5uvryzZt2lQmTNG91b///qtl7DUrSpO3tzf7888/Vcs3bdrEWrZsyQYMGMBGjx6tFrYi5aXt66+/ZjzPs7t37zLGlGVO7969y4Tr3r07Gzp0aLXTQ/5bXqsWxrS0NBw6dAiTJ0+GkZFRmfXm5uZllikUCuzYsQPp6ekQiUSVHmPkyJE4c+YMHj9+DADYsWMHnJyc0KZNm5eOf03IyMjAgAED0KNHDyxYsEBt3fDhw1VdcOqaQCDAokWL8Msvv+DJkydabWtgYICJEyfi3LlzWncls7OzQ0REBJKTk7XariLVOe8qc+LECeTl5aFPnz4ICgpCeHi4WiuInZ0dEhIScPr06ZeJutYqy7fNmzfDzc0Nb731Vpl106ZNQ2pqKo4ePQpA+SR1+fLlmD59OoKCgmBsbFzmnH0V3Lx5E+fPny9TPrRt2xZOTk7YsWMHAODx48c4ffo0Ro4cWRfRLOOvv/6Ch4cH3N3dERQUhNDQUFXXuS1btsDPzw+tW7fWuG1ddK+vCb169YKPj4/Gp+V2dnaQyWTYtWuXxi6ErwJN51plZUFFpk6diuzsbNU196rIzs7Gtm3bEBQUBD8/P2RmZqpaEktauHAhhEIhgoKCMGvWLPzyyy9o1KhRjcbFwMCgWi10jDGcOXMGd+/eLVM2VHTtaSsyMhK3b9/GZ599Bp5XvyXz8fFBnz59arW1PycnB3/++SeaNm0KKyurWjtuVdXUdb5+/Xr0798fZmZmCAoKQkhISA3GsmLBwcFqvVdCQ0MxduzYGtv/lClTwBjDnj17AADjxo1DREQEHj16pArz8OFDnD59Wq0XECEVea0qjPfv3wdjDB4eHpWG/eKLL2BsbAyxWIx3330XFhYW+OCDDyrdztbWFgEBAQgLCwOgvJCDg4NfNuo1QqFQ4P3334dQKMSmTZvK3PQVvX/222+/4cGDB3UUy2IDBw5Eq1atynS/qoqiPI6Li9Nqu59++gnJycmws7NDy5YtMXHixCp1Ra5Idc67kp9FixaVCRcSEoJhw4ZBIBDA29sbLi4u2LZtm2r9e++9h+HDh6N79+5o2LAhBg4ciJUrVyIrK+ul0lIVFeVbTEwMmjdvrnG7ouUxMTGqZWPHjoW3tzf27duH9evXQywW6ybSWtq/fz+MjY2hr6+PFi1aICkpCdOnTy8TLjg4GKGhoQCU3Qb79esHGxub2o6uRiEhIaquRH379kVmZiZOnToFQJkH7u7uauEHDhyoOic7d+6stq7o+6jsvH0VeHh4aCwXOnbsiFmzZuH999+HtbU1AgICsHTpUjx//rz2I1lCZedaZWVBRapbTupaeHg4mjVrBi8vLwgEAgwbNkzjDbmBgQFWrFiB3bt3o0ePHjXaNY4xhmPHjuHw4cPo1atXlbf79ddfVfcO3bp1g0KhwCeffKIWpqJrT1tF5WVF5WrJMlUXSl7/JiYm2Lt3L7Zu3VqmAvsqqInrXKFQICwsTJWHw4YNw9mzZxEbG6uraKsJCgrC2bNn8ejRIzx69Ajnzp3TeO5Xt1y2tLSEra2tqlzw9/eHvb29WiU1LCwMDg4O6N27d42li9Rvr15pUAFtniZNnz4dkZGRiIiIgK+vL5YtW4amTZtWadvg4GCEhYXh4cOHuHDhAkaMGFHdKNeoWbNm4cKFC9izZw9MTEw0hvH398cbb7yBOXPm1HLsNPvuu++wYcMG3LlzR6vtivJa25YQT09P3Lx5ExcvXkRwcDCSkpLw1ltvVelhQWVxqYqi867kp/QL7hkZGdi5c6faD0TpJ5wCgQDr16/HkydP8P3336NRo0ZYtGgRvLy8ygwIpAsV5Zs238f169dx7do1GBoaamxhqCs9e/ZEZGQkLl26hNGjR2Ps2LEYPHhwmXBBQUG4cOECHj58iLCwsFfm4VF0dDQuX76M4cOHAwCEQiGGDh1a4VPyX3/9FZGRkQgODi4zkEbR91HRefuqYIyVWy4sXLgQiYmJWLNmDby8vLBmzRp4eHhU633omlLRuVaVsqAi1S0ndS00NLRMmrZt21ZmUDZAWfkyNDREVFQUMjMzX/rYJSvoAQEBGDp0qFYDv40YMQKRkZE4d+4cAgIC8NVXX6k9YKnOtVcVddkqXvL6v3z5Mvz9/REQEKDWIvUqednr/OjRo8jNzUW/fv0AANbW1qpBtWqDjY0N+vfvj7CwMFVLp7W1dZlwL1MulywnBQIBRo8ejbCwMDDGoFAosGHDBowdO/aVfChAXk2v1ZnSrFkzcByHu3fvVhrW2toaTZs2RdeuXbFt2zZ88sknuH37dpWOExAQgPz8fIwbNw5vvfXWK9EtIzw8HD/88IPqyW1FlixZgq1bt+Lff/+tpdiVr1u3bvD398fMmTO12q6oolI0qpypqanGm4mMjAwIBAK1rqI8z6N9+/b49NNPsXPnToSFhSEkJKTaTw+rc96V/FhaWqqF2bx5MyQSCXx9fSEUCiEUCvHFF1/g7NmzZZ4kN2rUCCNHjsTKlStx69YtSCQSjQMw1LTy8s3Nza3cyn/Rcjc3NwDKUTpHjRqFESNG4Ndff8Xs2bMRHR2t24hXkZGREZo2bQofHx+Ehobi0qVLGm/4rKysEBgYiHHjxkEikSAgIKAOYltWSEgIZDIZ7O3tVefQ6tWrsWPHDmRmZqJZs2ZlvuuGDRtqPB+B4u+jovP2VXHnzh04OzuXu97KygrvvfcefvjhB9y5cwf29vZ1OhhYReeaNmWBJkXXXEXfR227ffs2Ll68iBkzZqjS1LFjR+Tl5SE8PFwt7NatW7F//36cP38eJiYmmDp16ksfv+gm+969e8jPz8eGDRs0vkpQHjMzMzRt2hTt27fHX3/9hZUrV+LYsWOq9ZVde9oqKi8rKleLwuhKyeu/ffv2+P3335Gbm1vt0Wprw8tc5yEhIUhLS4OBgYEqD//++29s2LBBbRRmXSpqmNiwYUO5DyKrWy6npqYiOTlZrVwIDg7G48ePERERgePHjyM+Pr5Gu8GS+u+1qjBaWlrC398fq1at0viOR3kjYTo4OGDo0KFVrrQIhUKMGjUKJ0+efCVaFCIjIzFu3DgsWbIE/v7+lYbv0KEDBg0ahC+//LIWYle5JUuWYN++fbhw4UKVwufn5+O3335Dt27dVN3/3N3dcevWLUilUrWw165dg7OzM/T09Mrdn6enJwBUe6TE6p535QkJCcG0adPUnhpev34dXbt2rfAJp4WFBRo2bFhrIz5qyrdhw4bh3r172LdvX5nwP/74I6ysrODn5wdAOXpbWloali1bhtGjR8PPzw9jx46ttR/kquJ5HrNmzcLs2bPVRq4rEhwcjJMnT2LUqFEQCAR1EEN1MpkMGzduxI8//ljmHLK3t8eWLVswfPhwHD169JV4aFSTIiIiEBUVpbE1WBORSARXV9c6HSW1pNLnWnXLgiJFo5T26dOnFmJfNSEhIejWrRuuX7+ulq7PPvtM7aHM8+fPMXnyZHz77bfw8fFBWFgYNm7c+NKvEBTdZDs6OkIoFL7UvoyNjTFlyhR8/vnnYIxV6drTVqtWreDh4YFly5aVKRuvX7+OY8eOqVoza0vRVFeaysNXkTbXeWpqKvbs2YPw8HC1PPz333+Rnp6OI0eO1EKMlV2ZCwoKUFhYWKX7Om2sWLECPM+rTUvi6uqK7t27IzQ0FOvXr0efPn3QpEmTGj0uqd9erjStA6tWrUKXLl3QoUMHzJ8/Hy1btoRMJsPRo0exevXqcp/STZkyBd7e3vjnn3/Qrl27So+zYMECTJ8+vc5bF1NSUvDOO++o3u8oPZ9VeTewCxcuhJeX10v/YNaEFi1aYMSIEeXO9ZOUlASJRILs7GxcvXoV33//PVJSUtQGthgxYgTmz5+PUaNGYcaMGTAzM8Pp06exfPlyfP/996pw7777Lrp06YLOnTvDzs4OsbGxmDlzJtzc3Kr0DmJ5qnvelRYZGYlr165h06ZNZeIzfPhwzJ8/H99++y1CQkIQGRmJgQMHwtXVFRKJBBs3bsStW7fKTImgK5rybdiwYdi2bRtGjx6NpUuXonfv3sjKysKqVauwd+9ebNu2DUZGRrhy5Qq+++47HDhwAGZmZgCAtWvXwtvbG8uWLcO0adNqJQ1V9d5772H69OlYtWqValqAIn379kVycjJMTU3rKHbq9u/fj/T0dIwbN0713RYZPHgwQkJCcObMGRw4cAC9e/fG3Llz0bVrV1hYWCAmJgYHDx4sU25IpdIyZYtQKNTYTaq2FMVJLpfj+fPnOHToEBYvXozAwECMGjWqTPj9+/cjPDwcw4YNg5ubGxhj2LdvH/7+++8y06PUpZLnWlXKgqIyPCMjA4mJiZBKpYiJicHatWuxe/du1VD6r4LCwkL88ccfmD9/fpk5JT/44AP89NNPuHXrFry8vDBhwgQ0b95cNR9hhw4dMH36dEyYMAE3b94sc27XlQ8//BALFizAjh07IBQKK732tO3KzXEcQkJC4Ofnh8GDB2PmzJmws7PDpUuXMG3aNHTq1KnMnI01reT1n56ejpUrVyInJ0fj4Ga1KTMzE5GRkWrLoqKicPjw4Wpf53/88QesrKwwZMiQMl25+/Xrh5CQkFqZg1YgEKjuG8q7j6tKuZydnY3ExEQUFhYiNjYWf/75J37//XcsXry4zGtY48aNU01ZUzROByFVVqtjstaQZ8+escmTJ7MmTZowkUjEGjVqxN5++23VMPflDTXs7+/PAgICGGPlT6tReoqHIqWnhKgtYWFhDEC5nyZNmpQ79POECRMYgDqZVqP0cNCxsbFMJBJpnFYDAOM4jpmYmDAfHx82ffp0lpCQUOYY0dHRbODAgcze3p4ZGRkxHx8ftm7dOrUpAn777TfWs2dPZmNjw0QiEXN0dGRjxoxhcXFxL53G6p53JafV+Oijj5inp6fG/SckJDCe59mePXvYtWvXWFBQEHN2dmZisZhZWVmxbt26aZzOoqZUNd8KCwvZ0qVLmZeXFxOJRMzU1JT5+/uzs2fPMsYYk0gkrHnz5hqnB9i0aRPT19dXDfddF8obrnzx4sXMxsaG5eTklDscPmPKaVRQh9NqBAYGsn79+mlcd+nSJQaAXb9+nUkkErZkyRLm4+PDDAwMmFgsZh4eHmzq1Kns8ePHqm1Gjx6tsWxxd3evrSSVUTJOQqGQ2djYsD59+rDQ0FC1qQdKXnMPHjxg48ePZ25ubszAwICZm5uz9u3bs/Xr19dNIljF55pQKCx36pySZQFjTC1f9PX1maurKxs9ejS7evWqLqNfqdLTamzfvp3xPM8SExM1hm/evDmbOnUq27BhAzM0NGT37t1TWy+VSpm3tzcbO3ZsteJT1Sliyru+NU2rwRhjH374IfPy8qrytVed49y4cYMNHjyYWVpaMj09Pebq6spmz57NcnNzK03Pyyh9/ZuYmLD27duz7du36/S42sar6NOzZ0+trvPSv8stWrRgkyZN0hh269atTCQSseTkZMaY7qbVKE/paTUqK5ebNGmiWl50vzNkyBAWERGhcf9F08RZWloyiURSI2ki/x0cY6/o+OOEEEIIIYQQQurUa/UOIyGEEEIIIYSQ2kMVRkIIIYQQQgghGlGFkRBCCCGEEEKIRlRhJIQQQgghhBCiEVUYCSGEEEIIIYRoRBVGQgghhBBCCCEaUYWREEIIIYQQQohGVGEkhBBCCCGEEKIRVRgJIYQQQgghhGhEFUZCCCGEEEIIIRpRhZEQQgghhBBCiEZUYSSEEEIIIYQQotH/AQ/1ZOXw09uIAAAAAElFTkSuQmCC\n"
          },
          "metadata": {}
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "# Mengatur ukuran gambar dengan orientasi A4 (11.7 inci x 8.27 inci)\n",
        "sns.set(rc={'figure.figsize':(11.7,8.27)})\n",
        "\n",
        "# Membuat plot distribusi untuk kolom 'MEDV' dari dataset boston menggunakan displot\n",
        "# boston['MEDV'] berisi harga median rumah, yang akan divisualisasikan dalam bentuk distribusi\n",
        "# bins=30 menentukan jumlah bin (kotak) dalam histogram untuk membagi data ke dalam 30 kategori\n",
        "# kde=True menambahkan estimasi kepadatan kernel (KDE) pada distribusi, yang menunjukkan distribusi data secara halus\n",
        "sns.displot(boston['MEDV'], bins=30, kde=True)\n",
        "\n",
        "# Menampilkan plot\n",
        "plt.show()"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 501
        },
        "id": "J7m-tK_YJCrW",
        "outputId": "ef5ea973-28ac-48b2-aa9f-f0a6f7702d0e"
      },
      "execution_count": 10,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 500x500 with 1 Axes>"
            ],
            "image/png": 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\n"
          },
          "metadata": {}
        }
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "## Split Data"
      ],
      "metadata": {
        "id": "HDPVo1dfVsxv"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "# Menghapus kolom 'MEDV' dari dataset boston untuk digunakan sebagai fitur (X) dan menjadikan 'MEDV' sebagai target (y)\n",
        "# X berisi semua fitur, kecuali harga median rumah 'MEDV', yang akan digunakan untuk prediksi\n",
        "# y berisi harga median rumah 'MEDV', yang menjadi target yang ingin diprediksi\n",
        "X = boston.drop(columns=['MEDV'])\n",
        "y = boston['MEDV']\n",
        "\n",
        "# Menampilkan jumlah fitur (kolom) pada X\n",
        "# X.shape[1] memberikan jumlah kolom pada X, yang merepresentasikan jumlah fitur\n",
        "print(\"Jumlah fitur (X):\", X.shape[1])\n",
        "\n",
        "# Menampilkan jumlah data pada X (jumlah baris)\n",
        "# X.shape[0] memberikan jumlah baris pada X, yang merupakan jumlah data\n",
        "print(\"Jumlah data:\", X.shape[0])"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "HiI7jGlmJHg-",
        "outputId": "1eabad47-a8b3-4fa4-ba2e-b27bd1653b1e"
      },
      "execution_count": 11,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "Jumlah fitur (X): 13\n",
            "Jumlah data: 506\n"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "# Membagi dataset menjadi data latih (training) dan data uji (testing) menggunakan train_test_split\n",
        "# X_train dan y_train adalah data latih yang digunakan untuk melatih model\n",
        "# X_test dan y_test adalah data uji yang digunakan untuk mengevaluasi model\n",
        "# test_size=0.2 berarti 20% data akan digunakan untuk data uji, sedangkan 80% untuk data latih\n",
        "# random_state=42 memastikan pembagian data yang konsisten setiap kali kode dijalankan\n",
        "X_train, X_test, y_train, y_test = train_test_split(X, y, test_size=0.2, random_state=42)\n",
        "\n",
        "# Menampilkan jumlah data latih (training) yang ada pada X_train\n",
        "# X_train.shape[0] memberikan jumlah baris pada data latih\n",
        "print(\"Jumlah data Train :\")\n",
        "print(X_train.shape[0])\n",
        "\n",
        "# Menampilkan jumlah data uji (testing) yang ada pada X_test\n",
        "# X_test.shape[0] memberikan jumlah baris pada data uji\n",
        "print(\"Jumlah data Test :\")\n",
        "print(X_test.shape[0])"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "Wqe7vR_7Jtcq",
        "outputId": "1dd4ea9d-397e-4a4a-8b1c-72d6a57dead1"
      },
      "execution_count": 12,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "Jumlah data Train :\n",
            "404\n",
            "Jumlah data Test :\n",
            "102\n"
          ]
        }
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "## Train Model"
      ],
      "metadata": {
        "id": "ayKjhCQBVvyk"
      }
    },
    {
      "cell_type": "markdown",
      "source": [
        "$\n",
        "y = \\beta_0 + \\beta_1 X_1 + \\beta_2 X_2 + \\cdots + \\beta_n X_n\n",
        "$\n",
        "\n",
        "Di mana:\n",
        "- $(y$) adalah variabel target (nilai yang ingin diprediksi, seperti harga rumah dalam kasus ini).\n",
        "- $(\\beta_0$) adalah **intersep** atau nilai prediksi ketika semua fitur \\(X\\) bernilai nol.\n",
        "- $(\\beta_1, \\beta_2, \\dots, \\beta_n$) adalah **koefisien regresi** yang menunjukkan seberapa besar pengaruh masing-masing fitur terhadap variabel target \\(y\\).\n",
        "- $(X_1, X_2, \\dots, X_n$) adalah **fitur** (variabel input) yang digunakan untuk memprediksi nilai $(y$)."
      ],
      "metadata": {
        "id": "68w3CBYqg62j"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "# Membuat objek model regresi linier dari kelas LinearRegression\n",
        "# Model ini akan digunakan untuk memodelkan hubungan antara fitur (X) dan target (y)\n",
        "model = LinearRegression()\n",
        "\n",
        "# Melatih (fit) model dengan data latih (X_train, y_train)\n",
        "# Proses ini menghitung koefisien (slope) dan intersep dari model regresi linier\n",
        "model.fit(X_train, y_train)\n",
        "\n",
        "# Menampilkan koefisien dalam bentuk DataFrame untuk lebih terstruktur\n",
        "# DataFrame ini memiliki dua kolom:\n",
        "# 1. 'Feature' yang menunjukkan nama fitur (kolom) dari data.\n",
        "# 2. 'Coefficient' yang menunjukkan nilai koefisien masing-masing fitur.\n",
        "coefficients = pd.DataFrame({'Feature': X.columns, 'Coefficient': model.coef_})\n",
        "print(\"Koefisien Model :\")  # Menampilkan pesan deskriptif sebelum mencetak tabel\n",
        "display(coefficients)  # Menampilkan DataFrame berisi fitur dan koefisiennya\n",
        "\n",
        "# Menampilkan intersep dari model regresi linier\n",
        "# model.intercept_ berisi nilai intersep (Beta_0) dari regresi linier\n",
        "# Intersep ini adalah nilai prediksi untuk y ketika semua fitur X bernilai 0\n",
        "print(\"Intersep (Beta_0):\", model.intercept_)"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 492
        },
        "id": "qbLBUuFxJ6T4",
        "outputId": "aa63b93a-cdb2-4db9-9070-92b9837b7b1b"
      },
      "execution_count": 13,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "Koefisien Model :\n"
          ]
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "    Feature  Coefficient\n",
              "0      CRIM    -0.113056\n",
              "1        ZN     0.030110\n",
              "2     INDUS     0.040381\n",
              "3      CHAS     2.784438\n",
              "4       NOX   -17.202633\n",
              "5        RM     4.438835\n",
              "6       AGE    -0.006296\n",
              "7       DIS    -1.447865\n",
              "8       RAD     0.262430\n",
              "9       TAX    -0.010647\n",
              "10  PTRATIO    -0.915456\n",
              "11        B     0.012351\n",
              "12    LSTAT    -0.508571"
            ],
            "text/html": [
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              "  <thead>\n",
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              "      <th></th>\n",
              "      <th>Feature</th>\n",
              "      <th>Coefficient</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>0</th>\n",
              "      <td>CRIM</td>\n",
              "      <td>-0.113056</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1</th>\n",
              "      <td>ZN</td>\n",
              "      <td>0.030110</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2</th>\n",
              "      <td>INDUS</td>\n",
              "      <td>0.040381</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>3</th>\n",
              "      <td>CHAS</td>\n",
              "      <td>2.784438</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>4</th>\n",
              "      <td>NOX</td>\n",
              "      <td>-17.202633</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>5</th>\n",
              "      <td>RM</td>\n",
              "      <td>4.438835</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>6</th>\n",
              "      <td>AGE</td>\n",
              "      <td>-0.006296</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>7</th>\n",
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              "      <td>-1.447865</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>8</th>\n",
              "      <td>RAD</td>\n",
              "      <td>0.262430</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>9</th>\n",
              "      <td>TAX</td>\n",
              "      <td>-0.010647</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>10</th>\n",
              "      <td>PTRATIO</td>\n",
              "      <td>-0.915456</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>11</th>\n",
              "      <td>B</td>\n",
              "      <td>0.012351</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>12</th>\n",
              "      <td>LSTAT</td>\n",
              "      <td>-0.508571</td>\n",
              "    </tr>\n",
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              "        document.querySelector('#df-56cf6a4b-a712-4f3b-a0a2-36e04c7e8dff button.colab-df-convert');\n",
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              "        const element = document.querySelector('#df-56cf6a4b-a712-4f3b-a0a2-36e04c7e8dff');\n",
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              "                                                    [key], {});\n",
              "        if (!dataTable) return;\n",
              "\n",
              "        const docLinkHtml = 'Like what you see? Visit the ' +\n",
              "          '<a target=\"_blank\" href=https://colab.research.google.com/notebooks/data_table.ipynb>data table notebook</a>'\n",
              "          + ' to learn more about interactive tables.';\n",
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              "  .colab-df-quickchart {\n",
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              "    width: 32px;\n",
              "  }\n",
              "\n",
              "  .colab-df-quickchart:hover {\n",
              "    background-color: var(--hover-bg-color);\n",
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              "  }\n",
              "\n",
              "  .colab-df-quickchart-complete:disabled,\n",
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              "    background-color: var(--disabled-bg-color);\n",
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              "  }\n",
              "\n",
              "  .colab-df-spinner {\n",
              "    border: 2px solid var(--fill-color);\n",
              "    border-color: transparent;\n",
              "    border-bottom-color: var(--fill-color);\n",
              "    animation:\n",
              "      spin 1s steps(1) infinite;\n",
              "  }\n",
              "\n",
              "  @keyframes spin {\n",
              "    0% {\n",
              "      border-color: transparent;\n",
              "      border-bottom-color: var(--fill-color);\n",
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              "  }\n",
              "</style>\n",
              "\n",
              "  <script>\n",
              "    async function quickchart(key) {\n",
              "      const quickchartButtonEl =\n",
              "        document.querySelector('#' + key + ' button');\n",
              "      quickchartButtonEl.disabled = true;  // To prevent multiple clicks.\n",
              "      quickchartButtonEl.classList.add('colab-df-spinner');\n",
              "      try {\n",
              "        const charts = await google.colab.kernel.invokeFunction(\n",
              "            'suggestCharts', [key], {});\n",
              "      } catch (error) {\n",
              "        console.error('Error during call to suggestCharts:', error);\n",
              "      }\n",
              "      quickchartButtonEl.classList.remove('colab-df-spinner');\n",
              "      quickchartButtonEl.classList.add('colab-df-quickchart-complete');\n",
              "    }\n",
              "    (() => {\n",
              "      let quickchartButtonEl =\n",
              "        document.querySelector('#df-72869c6b-c9fc-4db2-94fd-d8bbc593ec5f button');\n",
              "      quickchartButtonEl.style.display =\n",
              "        google.colab.kernel.accessAllowed ? 'block' : 'none';\n",
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              "</div>\n",
              "\n",
              "  <div id=\"id_efd25a49-9f1b-45a5-8fc5-2b1e41e2a794\">\n",
              "    <style>\n",
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              "        width: 32px;\n",
              "      }\n",
              "\n",
              "      .colab-df-generate:hover {\n",
              "        background-color: #E2EBFA;\n",
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              "        fill: #174EA6;\n",
              "      }\n",
              "\n",
              "      [theme=dark] .colab-df-generate {\n",
              "        background-color: #3B4455;\n",
              "        fill: #D2E3FC;\n",
              "      }\n",
              "\n",
              "      [theme=dark] .colab-df-generate:hover {\n",
              "        background-color: #434B5C;\n",
              "        box-shadow: 0px 1px 3px 1px rgba(0, 0, 0, 0.15);\n",
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              "        fill: #FFFFFF;\n",
              "      }\n",
              "    </style>\n",
              "    <button class=\"colab-df-generate\" onclick=\"generateWithVariable('coefficients')\"\n",
              "            title=\"Generate code using this dataframe.\"\n",
              "            style=\"display:none;\">\n",
              "\n",
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              "  </svg>\n",
              "    </button>\n",
              "    <script>\n",
              "      (() => {\n",
              "      const buttonEl =\n",
              "        document.querySelector('#id_efd25a49-9f1b-45a5-8fc5-2b1e41e2a794 button.colab-df-generate');\n",
              "      buttonEl.style.display =\n",
              "        google.colab.kernel.accessAllowed ? 'block' : 'none';\n",
              "\n",
              "      buttonEl.onclick = () => {\n",
              "        google.colab.notebook.generateWithVariable('coefficients');\n",
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              "\n",
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              "  </div>\n"
            ],
            "application/vnd.google.colaboratory.intrinsic+json": {
              "type": "dataframe",
              "variable_name": "coefficients",
              "summary": "{\n  \"name\": \"coefficients\",\n  \"rows\": 13,\n  \"fields\": [\n    {\n      \"column\": \"Feature\",\n      \"properties\": {\n        \"dtype\": \"string\",\n        \"num_unique_values\": 13,\n        \"samples\": [\n          \"B\",\n          \"TAX\",\n          \"CRIM\"\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"Coefficient\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 5.118449551970246,\n        \"min\": -17.202633391781117,\n        \"max\": 4.43883519951305,\n        \"num_unique_values\": 13,\n        \"samples\": [\n          0.012351334729969077,\n          -0.010646786275308524,\n          -0.11305592398537989\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    }\n  ]\n}"
            }
          },
          "metadata": {}
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "Intersep (Beta_0): 30.24675099392366\n"
          ]
        }
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "## Evaluasi Model"
      ],
      "metadata": {
        "id": "QQR7xA7-VylS"
      }
    },
    {
      "cell_type": "markdown",
      "source": [
        "$\n",
        "MAE = \\frac{1}{n} \\sum_{i=1}^{n} |y_i - \\hat{y}_i|\n",
        "$\n",
        "Dimana:\n",
        "   - $( y_i $) adalah nilai aktual untuk data ke-i.\n",
        "   - $( \\hat{y}_i $) adalah nilai prediksi untuk data ke-i.\n",
        "   - $( n $) adalah jumlah total data.\n",
        "\n",
        "$\n",
        "   MSE = \\frac{1}{n} \\sum_{i=1}^{n} (y_i - \\hat{y}_i)^2\n",
        "$\n",
        "   Dimana:\n",
        "   - $( y_i $) adalah nilai aktual untuk data ke-i.\n",
        "   - $( \\hat{y}_i $) adalah nilai prediksi untuk data ke-i.\n",
        "   - $( n $) adalah jumlah total data.\n",
        "\n",
        "$   \n",
        "R^2 = 1 - \\frac{\\sum_{i=1}^{n} (y_i - \\hat{y}_i)^2}{\\sum_{i=1}^{n} (y_i - \\bar{y})^2}\n",
        "$\n",
        "   Dimana:\n",
        "   - $( y_i $) adalah nilai aktual untuk data ke-i.\n",
        "   - $( \\hat{y}_i $) adalah nilai prediksi untuk data ke-i.\n",
        "   - $( \\bar{y} $) adalah rata-rata dari nilai aktual.\n",
        "   - $( n $) adalah jumlah total data.\n",
        "\n",
        "\n",
        "$\n",
        "MAPE = \\frac{1}{n} \\sum_{i=1}^{n} \\left| \\frac{y_i - \\hat{y}_i}{y_i} \\right| \\times 100\\%\n",
        "$\n",
        "   Dimana:\n",
        "   - $( y_i $) adalah nilai aktual untuk data ke-i.\n",
        "   - $( \\hat{y}_i $) adalah nilai prediksi untuk data ke-i.\n",
        "   - $( n $) adalah jumlah total data."
      ],
      "metadata": {
        "id": "OS7Gkjcfh6tv"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "# Menggunakan model yang sudah dilatih untuk membuat prediksi pada data uji (X_test)\n",
        "# y_pred berisi hasil prediksi model berdasarkan data uji\n",
        "y_pred = model.predict(X_test)\n",
        "\n",
        "# Menghitung Mean Absolute Error (MAE)\n",
        "# MAE mengukur rata-rata selisih absolut antara nilai yang diprediksi dan nilai aktual\n",
        "# Semakin kecil MAE, semakin akurat model dalam memprediksi data\n",
        "mae = mean_absolute_error(y_test, y_pred)\n",
        "\n",
        "# Menghitung Mean Squared Error (MSE)\n",
        "# MSE mengukur rata-rata kuadrat selisih antara nilai yang diprediksi dan nilai aktual\n",
        "# MSE lebih sensitif terhadap outlier karena selisih dihitung kuadratnya\n",
        "mse = mean_squared_error(y_test, y_pred)\n",
        "\n",
        "# Menghitung R-squared (R^2)\n",
        "# R^2 adalah ukuran seberapa baik model menjelaskan variasi dalam data target (y)\n",
        "# Nilai R^2 berada di antara 0 dan 1, semakin mendekati 1 semakin baik model menjelaskan data\n",
        "r2 = r2_score(y_test, y_pred)\n",
        "\n",
        "# Menghitung Mean Absolute Percentage Error (MAPE)\n",
        "# MAPE mengukur seberapa besar persentase kesalahan prediksi dibandingkan dengan nilai aktual\n",
        "# Semakin kecil MAPE, semakin baik model dalam memprediksi data\n",
        "mape = (abs((y_test - y_pred) / y_test).mean()) * 100\n",
        "\n",
        "# Menampilkan hasil evaluasi model\n",
        "# Menampilkan MAE, MSE, R-squared, dan MAPE untuk mengevaluasi performa model\n",
        "print(\"Mean Absolute Error (MAE):\", mae)  # Menampilkan nilai MAE\n",
        "print(\"Mean Squared Error (MSE):\", mse)  # Menampilkan nilai MSE\n",
        "print(\"R-squared (R^2):\", r2)  # Menampilkan nilai R^2\n",
        "print(\"Mean Absolute Percentage Error (MAPE): {:.2f}%\".format(mape))  # Menampilkan nilai MAPE dengan dua angka desimal"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "QVaQTT8zKI7k",
        "outputId": "32ad0e28-4db6-469c-c811-b864bedef323"
      },
      "execution_count": 14,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "Mean Absolute Error (MAE): 3.189091965887837\n",
            "Mean Squared Error (MSE): 24.291119474973478\n",
            "R-squared (R^2): 0.6687594935356326\n",
            "Mean Absolute Percentage Error (MAPE): 16.87%\n"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "# Scatter plot untuk membandingkan prediksi (y_pred) dan nilai asli (y_test)\n",
        "plt.figure(figsize=(8, 6))\n",
        "plt.scatter(y_test, y_pred, color='blue', label='Predicted vs Actual')\n",
        "plt.plot([min(y_test), max(y_test)], [min(y_test), max(y_test)], color='red', linestyle='--', label='Ideal Fit')  # Garis ideal\n",
        "\n",
        "# Menambahkan judul dan label\n",
        "plt.title('Scatter Plot: Actual vs Predicted Values', fontsize=14)\n",
        "plt.xlabel('Actual Values (y_test)', fontsize=12)\n",
        "plt.ylabel('Predicted Values (y_pred)', fontsize=12)\n",
        "plt.legend()\n",
        "plt.grid(True)\n",
        "\n",
        "# Menampilkan plot\n",
        "plt.show()"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 574
        },
        "id": "87Gp9EskrOEC",
        "outputId": "8a1492df-1f26-4e5f-fc5a-516cce56edae"
      },
      "execution_count": 15,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 800x600 with 1 Axes>"
            ],
            "image/png": 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\n"
          },
          "metadata": {}
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "# Membuat scatter plot untuk nilai aktual dan prediksi\n",
        "plt.figure(figsize=(10, 6))\n",
        "\n",
        "# Plot nilai aktual\n",
        "plt.scatter(range(len(y_test)), y_test, color='green', label='Actual Values (y_test)', s=50)\n",
        "\n",
        "# Plot nilai prediksi\n",
        "plt.scatter(range(len(y_pred)), y_pred, color='blue', label='Predicted Values (y_pred)', s=50)\n",
        "\n",
        "# Menambahkan judul, label, dan legenda\n",
        "plt.title('Scatter Plot: Actual vs Predicted Values', fontsize=14)\n",
        "plt.xlabel('Data Index', fontsize=12)\n",
        "plt.ylabel('Values', fontsize=12)\n",
        "plt.legend()\n",
        "plt.grid(True)\n",
        "\n",
        "# Menampilkan plot\n",
        "plt.show()"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 574
        },
        "id": "cs0eCboYt53J",
        "outputId": "e4ef19bf-a224-4265-909e-45016955add3"
      },
      "execution_count": 16,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 1000x600 with 1 Axes>"
            ],
            "image/png": 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\n"
          },
          "metadata": {}
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "# Membuat distplot untuk nilai aktual dan prediksi\n",
        "plt.figure(figsize=(10, 6))\n",
        "sns.kdeplot(y_test, color='green', label='Actual Values (y_test)', fill=True, linewidth=2)\n",
        "sns.kdeplot(y_pred, color='blue', label='Predicted Values (y_pred)', fill=True, linewidth=2)\n",
        "\n",
        "# Menambahkan judul, label, dan legenda\n",
        "plt.title('Distribution of Actual vs Predicted Values', fontsize=14)\n",
        "plt.xlabel('Values', fontsize=12)\n",
        "plt.ylabel('Density', fontsize=12)\n",
        "plt.legend()\n",
        "plt.grid(True)\n",
        "\n",
        "# Menampilkan plot\n",
        "plt.show()"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 574
        },
        "id": "NHP--VVBu3X7",
        "outputId": "867f72f5-6f59-4e3b-945a-bf31eaa142d2"
      },
      "execution_count": 17,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 1000x600 with 1 Axes>"
            ],
            "image/png": 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\n"
          },
          "metadata": {}
        }
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "# Cross Validation"
      ],
      "metadata": {
        "id": "6oR5gnucb6MS"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "# Membuat objek KFold untuk validasi silang\n",
        "# n_splits=5 berarti data akan dibagi menjadi 5 lipatan\n",
        "kf = KFold(n_splits=5, shuffle=True, random_state=42)\n",
        "\n",
        "# Melakukan validasi silang untuk R^2\n",
        "# cross_val_score menghitung skor evaluasi (default R^2 untuk regresi) pada setiap lipatan\n",
        "cv_r2_scores = cross_val_score(model, X, y, cv=kf, scoring='r2')\n",
        "\n",
        "# Melakukan validasi silang untuk MAE\n",
        "cv_mae_scores = cross_val_score(model, X, y, cv=kf, scoring='neg_mean_absolute_error')  # Hasil negatif, perlu diubah ke positif\n",
        "\n",
        "# Melakukan validasi silang untuk MSE\n",
        "cv_mse_scores = cross_val_score(model, X, y, cv=kf, scoring='neg_mean_squared_error')  # Hasil negatif, perlu diubah ke positif\n",
        "\n",
        "# Menampilkan hasil per lipatan (fold) dan rata-ratanya\n",
        "print(\"Cross-Validation Results (5-fold):\")\n",
        "print(f\"R-squared (R^2) per fold: {cv_r2_scores}\")\n",
        "print(f\"Mean R-squared (R^2): {cv_r2_scores.mean():.4f}\")\n",
        "\n",
        "print(f\"MAE per fold: {-cv_mae_scores}\")  # Mengubah hasil negatif menjadi positif\n",
        "print(f\"Mean MAE: {-cv_mae_scores.mean():.4f}\")\n",
        "\n",
        "print(f\"MSE per fold: {-cv_mse_scores}\")  # Mengubah hasil negatif menjadi positif\n",
        "print(f\"Mean MSE: {-cv_mse_scores.mean():.4f}\")"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "tWy4jc44cVem",
        "outputId": "657bb792-6193-4670-cd08-9539aa07d8e4"
      },
      "execution_count": 18,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "Cross-Validation Results (5-fold):\n",
            "R-squared (R^2) per fold: [0.66875949 0.7342547  0.70986601 0.77595168 0.68727731]\n",
            "Mean R-squared (R^2): 0.7152\n",
            "MAE per fold: [3.18909197 3.43983136 3.45763804 3.67803636 3.17770463]\n",
            "Mean MAE: 3.3885\n",
            "MSE per fold: [24.29111947 20.86790094 26.39596869 23.40122508 22.48676421]\n",
            "Mean MSE: 23.4886\n"
          ]
        }
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "# Model Diagnostics"
      ],
      "metadata": {
        "id": "cUDjlaxCVTsf"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "# Residuals dihitung sebagai selisih antara nilai aktual (y_test) dan nilai prediksi (y_pred)\n",
        "# Plot ini digunakan untuk melihat sebaran residual. Idealnya, residuals harus tersebar acak di sekitar garis horizontal (nilai 0)\n",
        "residuals = y_test - y_pred\n",
        "\n",
        "# Residual Plot\n",
        "# Membuat scatter plot untuk residuals terhadap nilai prediksi\n",
        "# Sumbu X menunjukkan nilai prediksi dan sumbu Y menunjukkan residuals\n",
        "plt.scatter(y_pred, residuals)\n",
        "# Menambahkan garis horizontal pada nilai 0 untuk referensi\n",
        "# Garis ini memudahkan visualisasi apakah residuals tersebar acak atau ada pola tertentu\n",
        "plt.axhline(0, color='red', linestyle='--')\n",
        "# Memberikan label pada sumbu X, Y, dan memberi judul pada plot\n",
        "plt.xlabel(\"Predicted Values\")\n",
        "plt.ylabel(\"Residuals\")\n",
        "plt.title(\"Residual Plot\")\n",
        "# Menampilkan plot residuals\n",
        "plt.show()\n",
        "\n",
        "# Distribusi Residual\n",
        "# Plot histogram residuals untuk memeriksa distribusi residuals\n",
        "# Dengan menambahkan kernel density estimate (KDE), kita bisa melihat apakah distribusi residuals mendekati distribusi normal\n",
        "sns.histplot(residuals, kde=True)\n",
        "# Memberikan judul pada distribusi residual\n",
        "plt.title(\"Distribusi Residual\")\n",
        "# Menampilkan plot distribusi residuals\n",
        "plt.show()\n",
        "\n",
        "# QQ Plot of Residuals\n",
        "# Plot QQ digunakan untuk memeriksa apakah residuals terdistribusi normal\n",
        "# Jika data terdistribusi normal, titik-titik pada plot ini akan berada pada garis 45 derajat\n",
        "sm.qqplot(residuals, line='45', fit=True)\n",
        "# Memberikan judul pada QQ plot\n",
        "plt.title(\"QQ Plot of Residuals\")\n",
        "# Menampilkan plot QQ residuals\n",
        "plt.show()"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 1000
        },
        "id": "zaKw1II0VS0y",
        "outputId": "1ec518d3-f4c0-42db-c763-311744dcc76b"
      },
      "execution_count": 19,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 1170x827 with 1 Axes>"
            ],
            "image/png": 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\n"
          },
          "metadata": {}
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 1170x827 with 1 Axes>"
            ],
            "image/png": 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\n"
          },
          "metadata": {}
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 1170x827 with 1 Axes>"
            ],
            "image/png": 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\n"
          },
          "metadata": {}
        }
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "# Prediksi Data Baru"
      ],
      "metadata": {
        "id": "v8GKFntnOZIu"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "# Membuat data baru dalam format dictionary dengan nilai-nilai contoh untuk setiap fitur\n",
        "# Setiap kunci dalam dictionary adalah nama fitur, dan nilai berupa list yang berisi nilai untuk fitur tersebut\n",
        "new_data = {\n",
        "    'CRIM': [0.1],  # Contoh nilai untuk tingkat kriminalitas per capita (CRIM)\n",
        "    'ZN': [18.0],   # Contoh nilai untuk proporsi area yang digunakan untuk perumahan dengan lebih dari 25,000 kaki persegi (ZN)\n",
        "    'INDUS': [9.0], # Contoh nilai untuk proporsi area industri (INDUS)\n",
        "    'CHAS': [1],     # Contoh nilai untuk apakah kawasan ini berada di dekat sungai atau tidak (1 = ada sungai, 0 = tidak ada sungai)\n",
        "    'NOX': [0.5],    # Contoh nilai untuk konsentrasi nitrogen oksida per 10 juta (NOX)\n",
        "    'RM': [6.5],     # Contoh nilai untuk rata-rata jumlah kamar tidur per rumah (RM)\n",
        "    'AGE': [65.0],   # Contoh nilai untuk proporsi rumah yang dibangun sebelum tahun 1940 (AGE)\n",
        "    'DIS': [4.0],    # Contoh nilai untuk jarak ke pusat kota Boston (DIS)\n",
        "    'RAD': [4],      # Contoh nilai untuk aksesibilitas jalan raya (RAD)\n",
        "    'TAX': [300.0],  # Contoh nilai untuk tarif pajak properti per 10,000 dolar (TAX)\n",
        "    'PTRATIO': [18.0], # Contoh nilai untuk rasio murid terhadap guru di sekolah (PTRATIO)\n",
        "    'B': [380.0],    # Contoh nilai untuk proporsi orang berkulit hitam per kota (B)\n",
        "    'LSTAT': [8.0]   # Contoh nilai untuk persentase penduduk berstatus sosial-ekonomi rendah (LSTAT)\n",
        "}\n",
        "\n",
        "# Membuat DataFrame baru menggunakan data yang sudah didefinisikan sebelumnya\n",
        "new_df = pd.DataFrame(new_data)\n",
        "\n",
        "# Mengonversi kolom 'CHAS' menjadi tipe data float\n",
        "# Ini dilakukan karena 'CHAS' sebelumnya berisi nilai integer, namun model regresi lebih baik dengan tipe data numerik (float)\n",
        "new_df['CHAS'] = new_df['CHAS'].astype(float)\n",
        "\n",
        "# Mengonversi kolom 'RAD' menjadi tipe data float, karena 'RAD' juga berisi angka yang lebih cocok untuk tipe data numerik (float)\n",
        "new_df['RAD'] = new_df['RAD'].astype(float)"
      ],
      "metadata": {
        "id": "3kjs3csQKNdJ"
      },
      "execution_count": 20,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "new_df.info()"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "65ej-R5kN0Dg",
        "outputId": "04da26ad-7458-498f-c532-946f092fb7d4"
      },
      "execution_count": 22,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "<class 'pandas.core.frame.DataFrame'>\n",
            "RangeIndex: 1 entries, 0 to 0\n",
            "Data columns (total 13 columns):\n",
            " #   Column   Non-Null Count  Dtype  \n",
            "---  ------   --------------  -----  \n",
            " 0   CRIM     1 non-null      float64\n",
            " 1   ZN       1 non-null      float64\n",
            " 2   INDUS    1 non-null      float64\n",
            " 3   CHAS     1 non-null      float64\n",
            " 4   NOX      1 non-null      float64\n",
            " 5   RM       1 non-null      float64\n",
            " 6   AGE      1 non-null      float64\n",
            " 7   DIS      1 non-null      float64\n",
            " 8   RAD      1 non-null      float64\n",
            " 9   TAX      1 non-null      float64\n",
            " 10  PTRATIO  1 non-null      float64\n",
            " 11  B        1 non-null      float64\n",
            " 12  LSTAT    1 non-null      float64\n",
            "dtypes: float64(13)\n",
            "memory usage: 236.0 bytes\n"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "# Prediksi harga rumah (MEDV) menggunakan model yang telah dilatih\n",
        "# 'model.predict()' digunakan untuk memprediksi harga rumah berdasarkan data fitur yang baru\n",
        "# Kita buat DataFrame dari 'new_data' untuk mengirimkan data ke dalam format yang sesuai dengan model\n",
        "# Model akan menggunakan koefisien yang telah dilatih sebelumnya untuk menghasilkan prediksi harga rumah\n",
        "\n",
        "print(\"Prediksi MEDV untuk data baru:\", model.predict(pd.DataFrame(new_data)))"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "EpEATQ-NN9lK",
        "outputId": "5c33cca7-22ee-4927-d562-5ae74caf86ee"
      },
      "execution_count": 23,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "Prediksi MEDV untuk data baru: [29.97809206]\n"
          ]
        }
      ]
    }
  ]
}