QSVM_Star_Classification_multi_label_demo_ver2.ipynb

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      "id": "33bb0111",
      "metadata": {
        "id": "33bb0111"
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      "source": [
        "# QHack 2023 - Team Durchmusterung\n",
        "\n",
        "\n",
        "## QSVM for Star Classification: A Case Study on White Dwarf and Giant Stars\n",
        "\n",
        "### Member: Louis Chen, Felix Xu, Henry Makhanov"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "id": "certified-communist",
      "metadata": {
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      "source": [
        "# This Python 3 environment comes with many helpful analytics libraries installed\n",
        "# It is defined by the kaggle/python Docker image: https://github.com/kaggle/docker-python\n",
        "# For example, here's several helpful packages to load\n",
        "\n",
        "import numpy as np # linear algebra\n",
        "import pandas as pd # data processing, CSV file I/O (e.g. pd.read_csv)\n",
        "\n",
        "# Input data files are available in the read-only \"../input/\" directory\n",
        "# For example, running this (by clicking run or pressing Shift+Enter) will list all files under the input directory\n",
        "\n",
        "import os\n",
        "for dirname, _, filenames in os.walk('/kaggle/input'):\n",
        "    for filename in filenames:\n",
        "        print(os.path.join(dirname, filename))\n",
        "\n",
        "# You can write up to 20GB to the current directory (/kaggle/working/) that gets preserved as output when you create a version using \"Save & Run All\" \n",
        "# You can also write temporary files to /kaggle/temp/, but they won't be saved outside of the current session"
      ]
    },
    {
      "cell_type": "markdown",
      "id": "fundamental-filter",
      "metadata": {
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          "status": "completed"
        },
        "tags": [],
        "id": "fundamental-filter"
      },
      "source": [
        "# 0 - Importing Libraries"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 1,
      "id": "fundamental-closing",
      "metadata": {
        "papermill": {
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          "status": "completed"
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        "tags": [],
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 70
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        "id": "fundamental-closing",
        "outputId": "3f9ea17e-1b1b-4384-e929-e4b2ddefa1af"
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      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "'\\nFor further versions, it would be interesting to implement a Neural Network.\\n\\nimport torch\\nimport torch.nn as nn\\nimport torch.optim as optim\\nimport torch.nn.functional as F\\nfrom torch.utils.data import DataLoader, TensorDataset\\nimport torchvision.transforms as transforms\\n'"
            ],
            "application/vnd.google.colaboratory.intrinsic+json": {
              "type": "string"
            }
          },
          "metadata": {},
          "execution_count": 1
        }
      ],
      "source": [
        "import matplotlib.pyplot as plt\n",
        "import seaborn as sns\n",
        "\n",
        "from sklearn.model_selection import train_test_split\n",
        "from sklearn.neighbors import KNeighborsClassifier\n",
        "from sklearn.svm import SVC\n",
        "from sklearn.linear_model import LogisticRegression\n",
        "from sklearn.metrics import f1_score, jaccard_score\n",
        "from sklearn.metrics import classification_report, confusion_matrix\n",
        "from sklearn.metrics import confusion_matrix, ConfusionMatrixDisplay\n",
        "\n",
        "'''\n",
        "For further versions, it would be interesting to implement a Neural Network.\n",
        "\n",
        "import torch\n",
        "import torch.nn as nn\n",
        "import torch.optim as optim\n",
        "import torch.nn.functional as F\n",
        "from torch.utils.data import DataLoader, TensorDataset\n",
        "import torchvision.transforms as transforms\n",
        "'''"
      ]
    },
    {
      "cell_type": "markdown",
      "id": "double-argentina",
      "metadata": {
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          "status": "completed"
        },
        "tags": [],
        "id": "double-argentina"
      },
      "source": [
        "# 1 - Importing & analyzing the dataset"
      ]
    },
    {
      "cell_type": "markdown",
      "id": "collaborative-family",
      "metadata": {
        "papermill": {
          "duration": 0.023461,
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        },
        "tags": [],
        "id": "collaborative-family"
      },
      "source": [
        "First of all let's import the dataset and let's check the type of data, the missing values and also we are going to take a look at the different categorical variables."
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 3,
      "id": "above-marketplace",
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          "height": 424
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        "id": "above-marketplace",
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              "      Vmag   Plx  e_Plx    B-V    SpType       Amag  TargetClass\n",
              "0     8.23  2.72   1.01  1.294  K2/K3III  15.402843            0\n",
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              "2     9.44  5.68   4.61  0.439       F3V  18.211742            1\n",
              "3     6.93  0.65   0.66  0.240   B0.5III  10.994566            0\n",
              "4     6.82  2.82   0.74  1.273  G8/K0III  14.071245            0\n",
              "...    ...   ...    ...    ...       ...        ...          ...\n",
              "3637  8.20  9.41   1.53  0.500       F5V  18.067947            1\n",
              "3638  7.41  0.57   1.03  1.389     K2III  11.189374            0\n",
              "3639  8.74  1.81   1.25  0.980     G8III  15.028393            0\n",
              "3640  6.15  2.93   0.82  1.652     M0III  13.484339            0\n",
              "3641  8.41  2.77   1.05  0.084       A1V  15.622398            1\n",
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              "      <th>3637</th>\n",
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              "      <td>9.41</td>\n",
              "      <td>1.53</td>\n",
              "      <td>0.500</td>\n",
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              "      <td>18.067947</td>\n",
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              "    <tr>\n",
              "      <th>3638</th>\n",
              "      <td>7.41</td>\n",
              "      <td>0.57</td>\n",
              "      <td>1.03</td>\n",
              "      <td>1.389</td>\n",
              "      <td>K2III</td>\n",
              "      <td>11.189374</td>\n",
              "      <td>0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>3639</th>\n",
              "      <td>8.74</td>\n",
              "      <td>1.81</td>\n",
              "      <td>1.25</td>\n",
              "      <td>0.980</td>\n",
              "      <td>G8III</td>\n",
              "      <td>15.028393</td>\n",
              "      <td>0</td>\n",
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              "    <tr>\n",
              "      <th>3640</th>\n",
              "      <td>6.15</td>\n",
              "      <td>2.93</td>\n",
              "      <td>0.82</td>\n",
              "      <td>1.652</td>\n",
              "      <td>M0III</td>\n",
              "      <td>13.484339</td>\n",
              "      <td>0</td>\n",
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              "    <tr>\n",
              "      <th>3641</th>\n",
              "      <td>8.41</td>\n",
              "      <td>2.77</td>\n",
              "      <td>1.05</td>\n",
              "      <td>0.084</td>\n",
              "      <td>A1V</td>\n",
              "      <td>15.622398</td>\n",
              "      <td>1</td>\n",
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            ]
          },
          "metadata": {},
          "execution_count": 3
        }
      ],
      "source": [
        "import pandas as pd\n",
        "\n",
        "stars_df = pd.read_csv('Star3642_balanced.csv')\n",
        "stars_df"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 4,
      "id": "pointed-morocco",
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        "id": "pointed-morocco",
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            "text/plain": [
              "              Vmag          Plx        e_Plx          B-V         Amag  \\\n",
              "count  3642.000000  3642.000000  3642.000000  3642.000000  3642.000000   \n",
              "mean      8.120530     7.606153     1.176568     0.827077    16.427388   \n",
              "std       1.338875    11.924052     0.919999     0.436699     2.428144   \n",
              "min       0.450000    -6.820000     0.470000    -0.196000     2.820000   \n",
              "25%       7.370000     2.740000     0.840000     0.487250    15.150312   \n",
              "50%       8.390000     4.950000     1.040000     0.867000    16.392485   \n",
              "75%       9.060000     8.670000     1.270000     1.136000    18.029836   \n",
              "max      12.490000   280.270000    30.290000     2.530000    29.249165   \n",
              "\n",
              "       TargetClass  \n",
              "count  3642.000000  \n",
              "mean      0.500000  \n",
              "std       0.500069  \n",
              "min       0.000000  \n",
              "25%       0.000000  \n",
              "50%       0.500000  \n",
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              "      <th>count</th>\n",
              "      <td>3642.000000</td>\n",
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              "      <td>3642.000000</td>\n",
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              "      <th>mean</th>\n",
              "      <td>8.120530</td>\n",
              "      <td>7.606153</td>\n",
              "      <td>1.176568</td>\n",
              "      <td>0.827077</td>\n",
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              "      <td>0.500000</td>\n",
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              "      <th>std</th>\n",
              "      <td>1.338875</td>\n",
              "      <td>11.924052</td>\n",
              "      <td>0.919999</td>\n",
              "      <td>0.436699</td>\n",
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              "      <th>min</th>\n",
              "      <td>0.450000</td>\n",
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              "    </tr>\n",
              "    <tr>\n",
              "      <th>25%</th>\n",
              "      <td>7.370000</td>\n",
              "      <td>2.740000</td>\n",
              "      <td>0.840000</td>\n",
              "      <td>0.487250</td>\n",
              "      <td>15.150312</td>\n",
              "      <td>0.000000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>50%</th>\n",
              "      <td>8.390000</td>\n",
              "      <td>4.950000</td>\n",
              "      <td>1.040000</td>\n",
              "      <td>0.867000</td>\n",
              "      <td>16.392485</td>\n",
              "      <td>0.500000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>75%</th>\n",
              "      <td>9.060000</td>\n",
              "      <td>8.670000</td>\n",
              "      <td>1.270000</td>\n",
              "      <td>1.136000</td>\n",
              "      <td>18.029836</td>\n",
              "      <td>1.000000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>max</th>\n",
              "      <td>12.490000</td>\n",
              "      <td>280.270000</td>\n",
              "      <td>30.290000</td>\n",
              "      <td>2.530000</td>\n",
              "      <td>29.249165</td>\n",
              "      <td>1.000000</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "</div>\n",
              "      <button class=\"colab-df-convert\" onclick=\"convertToInteractive('df-5035fa8a-3f9f-42cd-9dcb-37fb14c478c9')\"\n",
              "              title=\"Convert this dataframe to an interactive table.\"\n",
              "              style=\"display:none;\">\n",
              "        \n",
              "  <svg xmlns=\"http://www.w3.org/2000/svg\" height=\"24px\"viewBox=\"0 0 24 24\"\n",
              "       width=\"24px\">\n",
              "    <path d=\"M0 0h24v24H0V0z\" fill=\"none\"/>\n",
              "    <path d=\"M18.56 5.44l.94 2.06.94-2.06 2.06-.94-2.06-.94-.94-2.06-.94 2.06-2.06.94zm-11 1L8.5 8.5l.94-2.06 2.06-.94-2.06-.94L8.5 2.5l-.94 2.06-2.06.94zm10 10l.94 2.06.94-2.06 2.06-.94-2.06-.94-.94-2.06-.94 2.06-2.06.94z\"/><path d=\"M17.41 7.96l-1.37-1.37c-.4-.4-.92-.59-1.43-.59-.52 0-1.04.2-1.43.59L10.3 9.45l-7.72 7.72c-.78.78-.78 2.05 0 2.83L4 21.41c.39.39.9.59 1.41.59.51 0 1.02-.2 1.41-.59l7.78-7.78 2.81-2.81c.8-.78.8-2.07 0-2.86zM5.41 20L4 18.59l7.72-7.72 1.47 1.35L5.41 20z\"/>\n",
              "  </svg>\n",
              "      </button>\n",
              "      \n",
              "  <style>\n",
              "    .colab-df-container {\n",
              "      display:flex;\n",
              "      flex-wrap:wrap;\n",
              "      gap: 12px;\n",
              "    }\n",
              "\n",
              "    .colab-df-convert {\n",
              "      background-color: #E8F0FE;\n",
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              "      border-radius: 50%;\n",
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              "\n",
              "    .colab-df-convert:hover {\n",
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              "      fill: #174EA6;\n",
              "    }\n",
              "\n",
              "    [theme=dark] .colab-df-convert {\n",
              "      background-color: #3B4455;\n",
              "      fill: #D2E3FC;\n",
              "    }\n",
              "\n",
              "    [theme=dark] .colab-df-convert:hover {\n",
              "      background-color: #434B5C;\n",
              "      box-shadow: 0px 1px 3px 1px rgba(0, 0, 0, 0.15);\n",
              "      filter: drop-shadow(0px 1px 2px rgba(0, 0, 0, 0.3));\n",
              "      fill: #FFFFFF;\n",
              "    }\n",
              "  </style>\n",
              "\n",
              "      <script>\n",
              "        const buttonEl =\n",
              "          document.querySelector('#df-5035fa8a-3f9f-42cd-9dcb-37fb14c478c9 button.colab-df-convert');\n",
              "        buttonEl.style.display =\n",
              "          google.colab.kernel.accessAllowed ? 'block' : 'none';\n",
              "\n",
              "        async function convertToInteractive(key) {\n",
              "          const element = document.querySelector('#df-5035fa8a-3f9f-42cd-9dcb-37fb14c478c9');\n",
              "          const dataTable =\n",
              "            await google.colab.kernel.invokeFunction('convertToInteractive',\n",
              "                                                     [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",
              "          element.innerHTML = '';\n",
              "          dataTable['output_type'] = 'display_data';\n",
              "          await google.colab.output.renderOutput(dataTable, element);\n",
              "          const docLink = document.createElement('div');\n",
              "          docLink.innerHTML = docLinkHtml;\n",
              "          element.appendChild(docLink);\n",
              "        }\n",
              "      </script>\n",
              "    </div>\n",
              "  </div>\n",
              "  "
            ]
          },
          "metadata": {},
          "execution_count": 4
        }
      ],
      "source": [
        "stars_df.describe()"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 5,
      "id": "peaceful-picking",
      "metadata": {
        "papermill": {
          "duration": 0.036243,
          "end_time": "2021-04-16T21:55:11.145068",
          "exception": false,
          "start_time": "2021-04-16T21:55:11.108825",
          "status": "completed"
        },
        "tags": [],
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "peaceful-picking",
        "outputId": "a380544c-f509-48cc-c160-201e992fd97b"
      },
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "Vmag           float64\n",
              "Plx            float64\n",
              "e_Plx          float64\n",
              "B-V            float64\n",
              "SpType          object\n",
              "Amag           float64\n",
              "TargetClass      int64\n",
              "dtype: object"
            ]
          },
          "metadata": {},
          "execution_count": 5
        }
      ],
      "source": [
        "stars_df.dtypes"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 6,
      "id": "social-shirt",
      "metadata": {
        "papermill": {
          "duration": 0.039942,
          "end_time": "2021-04-16T21:55:11.209940",
          "exception": false,
          "start_time": "2021-04-16T21:55:11.169998",
          "status": "completed"
        },
        "tags": [],
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "social-shirt",
        "outputId": "d218ff48-e5ed-4917-d9ee-d2e26bb08e5b"
      },
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "Vmag           0\n",
            "Plx            0\n",
            "e_Plx          0\n",
            "B-V            0\n",
            "SpType         0\n",
            "Amag           0\n",
            "TargetClass    0\n",
            "dtype: int64\n",
            "Vmag           0\n",
            "Plx            0\n",
            "e_Plx          0\n",
            "B-V            0\n",
            "SpType         0\n",
            "Amag           0\n",
            "TargetClass    0\n",
            "dtype: int64\n"
          ]
        }
      ],
      "source": [
        "null, nan = stars_df.isnull().sum() , stars_df.isna().sum()\n",
        "print(null)\n",
        "print(nan)"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 7,
      "id": "bulgarian-employee",
      "metadata": {
        "papermill": {
          "duration": 0.035457,
          "end_time": "2021-04-16T21:55:11.270819",
          "exception": false,
          "start_time": "2021-04-16T21:55:11.235362",
          "status": "completed"
        },
        "tags": [],
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "bulgarian-employee",
        "outputId": "8889ae74-5d1b-4b85-b7f8-660f2c1e179f"
      },
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "Number of unique values in 'SpType' column: 584\n"
          ]
        }
      ],
      "source": [
        "unique_count = stars_df['SpType'].nunique()\n",
        "print(\"Number of unique values in 'SpType' column:\", unique_count)"
      ]
    },
    {
      "cell_type": "markdown",
      "id": "israeli-pipeline",
      "metadata": {
        "papermill": {
          "duration": 0.024806,
          "end_time": "2021-04-16T21:55:11.320770",
          "exception": false,
          "start_time": "2021-04-16T21:55:11.295964",
          "status": "completed"
        },
        "tags": [],
        "id": "israeli-pipeline"
      },
      "source": [
        "# 2 - Removing rows that have too much error."
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 8,
      "id": "mighty-arbor",
      "metadata": {
        "papermill": {
          "duration": 0.05051,
          "end_time": "2021-04-16T21:55:11.396343",
          "exception": false,
          "start_time": "2021-04-16T21:55:11.345833",
          "status": "completed"
        },
        "tags": [],
        "id": "mighty-arbor"
      },
      "outputs": [],
      "source": [
        "threshold = stars_df['e_Plx'].mean() + 0.5\n",
        "\n",
        "stars_dff = stars_df[ stars_df['e_Plx'] < threshold ]"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 9,
      "id": "focused-context",
      "metadata": {
        "papermill": {
          "duration": 0.051053,
          "end_time": "2021-04-16T21:55:11.475002",
          "exception": false,
          "start_time": "2021-04-16T21:55:11.423949",
          "status": "completed"
        },
        "tags": [],
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 424
        },
        "id": "focused-context",
        "outputId": "12b23ecc-c61b-4b14-9b4e-50ca77ced59d"
      },
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "      Vmag   Plx  e_Plx    B-V    SpType       Amag  TargetClass\n",
              "0     8.23  2.72   1.01  1.294  K2/K3III  15.402843            0\n",
              "1     7.95  6.12   0.97  1.067  K0III-IV  16.883757            1\n",
              "3     6.93  0.65   0.66  0.240   B0.5III  10.994566            0\n",
              "4     6.82  2.82   0.74  1.273  G8/K0III  14.071245            0\n",
              "5     7.85  4.42   1.13  0.168     B8III  16.077110            0\n",
              "...    ...   ...    ...    ...       ...        ...          ...\n",
              "3637  8.20  9.41   1.53  0.500       F5V  18.067947            1\n",
              "3638  7.41  0.57   1.03  1.389     K2III  11.189374            0\n",
              "3639  8.74  1.81   1.25  0.980     G8III  15.028393            0\n",
              "3640  6.15  2.93   0.82  1.652     M0III  13.484339            0\n",
              "3641  8.41  2.77   1.05  0.084       A1V  15.622398            1\n",
              "\n",
              "[3357 rows x 7 columns]"
            ],
            "text/html": [
              "\n",
              "  <div id=\"df-7ad97e18-1465-46b3-a881-0fc4d1a9dd56\">\n",
              "    <div class=\"colab-df-container\">\n",
              "      <div>\n",
              "<style scoped>\n",
              "    .dataframe tbody tr th:only-of-type {\n",
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              "    .dataframe tbody tr th {\n",
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              "\n",
              "    .dataframe thead th {\n",
              "        text-align: right;\n",
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              "</style>\n",
              "<table border=\"1\" class=\"dataframe\">\n",
              "  <thead>\n",
              "    <tr style=\"text-align: right;\">\n",
              "      <th></th>\n",
              "      <th>Vmag</th>\n",
              "      <th>Plx</th>\n",
              "      <th>e_Plx</th>\n",
              "      <th>B-V</th>\n",
              "      <th>SpType</th>\n",
              "      <th>Amag</th>\n",
              "      <th>TargetClass</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>0</th>\n",
              "      <td>8.23</td>\n",
              "      <td>2.72</td>\n",
              "      <td>1.01</td>\n",
              "      <td>1.294</td>\n",
              "      <td>K2/K3III</td>\n",
              "      <td>15.402843</td>\n",
              "      <td>0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1</th>\n",
              "      <td>7.95</td>\n",
              "      <td>6.12</td>\n",
              "      <td>0.97</td>\n",
              "      <td>1.067</td>\n",
              "      <td>K0III-IV</td>\n",
              "      <td>16.883757</td>\n",
              "      <td>1</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>3</th>\n",
              "      <td>6.93</td>\n",
              "      <td>0.65</td>\n",
              "      <td>0.66</td>\n",
              "      <td>0.240</td>\n",
              "      <td>B0.5III</td>\n",
              "      <td>10.994566</td>\n",
              "      <td>0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>4</th>\n",
              "      <td>6.82</td>\n",
              "      <td>2.82</td>\n",
              "      <td>0.74</td>\n",
              "      <td>1.273</td>\n",
              "      <td>G8/K0III</td>\n",
              "      <td>14.071245</td>\n",
              "      <td>0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>5</th>\n",
              "      <td>7.85</td>\n",
              "      <td>4.42</td>\n",
              "      <td>1.13</td>\n",
              "      <td>0.168</td>\n",
              "      <td>B8III</td>\n",
              "      <td>16.077110</td>\n",
              "      <td>0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>...</th>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>3637</th>\n",
              "      <td>8.20</td>\n",
              "      <td>9.41</td>\n",
              "      <td>1.53</td>\n",
              "      <td>0.500</td>\n",
              "      <td>F5V</td>\n",
              "      <td>18.067947</td>\n",
              "      <td>1</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>3638</th>\n",
              "      <td>7.41</td>\n",
              "      <td>0.57</td>\n",
              "      <td>1.03</td>\n",
              "      <td>1.389</td>\n",
              "      <td>K2III</td>\n",
              "      <td>11.189374</td>\n",
              "      <td>0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>3639</th>\n",
              "      <td>8.74</td>\n",
              "      <td>1.81</td>\n",
              "      <td>1.25</td>\n",
              "      <td>0.980</td>\n",
              "      <td>G8III</td>\n",
              "      <td>15.028393</td>\n",
              "      <td>0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>3640</th>\n",
              "      <td>6.15</td>\n",
              "      <td>2.93</td>\n",
              "      <td>0.82</td>\n",
              "      <td>1.652</td>\n",
              "      <td>M0III</td>\n",
              "      <td>13.484339</td>\n",
              "      <td>0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>3641</th>\n",
              "      <td>8.41</td>\n",
              "      <td>2.77</td>\n",
              "      <td>1.05</td>\n",
              "      <td>0.084</td>\n",
              "      <td>A1V</td>\n",
              "      <td>15.622398</td>\n",
              "      <td>1</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "<p>3357 rows × 7 columns</p>\n",
              "</div>\n",
              "      <button class=\"colab-df-convert\" onclick=\"convertToInteractive('df-7ad97e18-1465-46b3-a881-0fc4d1a9dd56')\"\n",
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              "  </svg>\n",
              "      </button>\n",
              "      \n",
              "  <style>\n",
              "    .colab-df-container {\n",
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              "\n",
              "    .colab-df-convert {\n",
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              "\n",
              "    .colab-df-convert:hover {\n",
              "      background-color: #E2EBFA;\n",
              "      box-shadow: 0px 1px 2px rgba(60, 64, 67, 0.3), 0px 1px 3px 1px rgba(60, 64, 67, 0.15);\n",
              "      fill: #174EA6;\n",
              "    }\n",
              "\n",
              "    [theme=dark] .colab-df-convert {\n",
              "      background-color: #3B4455;\n",
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              "    }\n",
              "\n",
              "    [theme=dark] .colab-df-convert:hover {\n",
              "      background-color: #434B5C;\n",
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              "      filter: drop-shadow(0px 1px 2px rgba(0, 0, 0, 0.3));\n",
              "      fill: #FFFFFF;\n",
              "    }\n",
              "  </style>\n",
              "\n",
              "      <script>\n",
              "        const buttonEl =\n",
              "          document.querySelector('#df-7ad97e18-1465-46b3-a881-0fc4d1a9dd56 button.colab-df-convert');\n",
              "        buttonEl.style.display =\n",
              "          google.colab.kernel.accessAllowed ? 'block' : 'none';\n",
              "\n",
              "        async function convertToInteractive(key) {\n",
              "          const element = document.querySelector('#df-7ad97e18-1465-46b3-a881-0fc4d1a9dd56');\n",
              "          const dataTable =\n",
              "            await google.colab.kernel.invokeFunction('convertToInteractive',\n",
              "                                                     [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",
              "          element.innerHTML = '';\n",
              "          dataTable['output_type'] = 'display_data';\n",
              "          await google.colab.output.renderOutput(dataTable, element);\n",
              "          const docLink = document.createElement('div');\n",
              "          docLink.innerHTML = docLinkHtml;\n",
              "          element.appendChild(docLink);\n",
              "        }\n",
              "      </script>\n",
              "    </div>\n",
              "  </div>\n",
              "  "
            ]
          },
          "metadata": {},
          "execution_count": 9
        }
      ],
      "source": [
        "stars_dff"
      ]
    },
    {
      "cell_type": "markdown",
      "id": "written-graduate",
      "metadata": {
        "papermill": {
          "duration": 0.026025,
          "end_time": "2021-04-16T21:55:11.528650",
          "exception": false,
          "start_time": "2021-04-16T21:55:11.502625",
          "status": "completed"
        },
        "tags": [],
        "id": "written-graduate"
      },
      "source": [
        "# 3 - Visualization"
      ]
    },
    {
      "cell_type": "markdown",
      "id": "parliamentary-yemen",
      "metadata": {
        "papermill": {
          "duration": 0.026469,
          "end_time": "2021-04-16T21:55:11.581763",
          "exception": false,
          "start_time": "2021-04-16T21:55:11.555294",
          "status": "completed"
        },
        "tags": [],
        "id": "parliamentary-yemen"
      },
      "source": [
        "Let's plot some features so we can get more insights about the dataset."
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 10,
      "id": "sought-revolution",
      "metadata": {
        "papermill": {
          "duration": 1.221783,
          "end_time": "2021-04-16T21:55:12.830150",
          "exception": false,
          "start_time": "2021-04-16T21:55:11.608367",
          "status": "completed"
        },
        "tags": [],
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 597
        },
        "id": "sought-revolution",
        "outputId": "3ce3255d-d196-41c6-cc58-9bcc3293ed56"
      },
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "Text(0.5, 0, 'Absolute Magnitude')"
            ]
          },
          "metadata": {},
          "execution_count": 10
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 1440x864 with 4 Axes>"
            ],
            "image/png": 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\n"
          },
          "metadata": {
            "needs_background": "light"
          }
        }
      ],
      "source": [
        "fig, axes = plt.subplots(2, 2, figsize=(20,12))\n",
        "\n",
        "sns.scatterplot(data = stars_dff, x = 'Vmag', y= 'B-V', ax = axes[0][0], hue = 'TargetClass')\n",
        "axes[0,0].set_xlabel('Apparent Magnitude')\n",
        "\n",
        "sns.scatterplot(data = stars_dff, x = 'Amag',  y= 'B-V', ax = axes[0][1], hue = 'TargetClass')\n",
        "axes[0,1].set_xlabel('Absolute Magnitude')\n",
        "\n",
        "\n",
        "sns.scatterplot(data = stars_dff, x = 'Vmag', y = 'Plx', ax = axes[1][0], hue='TargetClass')\n",
        "axes[1,0].set_xlabel('Apparent Magnitude')\n",
        "\n",
        "\n",
        "sns.scatterplot(data = stars_dff, x = 'Amag', y = 'Plx', ax = axes[1][1], hue = 'TargetClass')\n",
        "axes[1,1].set_xlabel('Absolute Magnitude')\n",
        "\n"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 11,
      "id": "opened-tuner",
      "metadata": {
        "papermill": {
          "duration": 0.439587,
          "end_time": "2021-04-16T21:55:13.304716",
          "exception": false,
          "start_time": "2021-04-16T21:55:12.865129",
          "status": "completed"
        },
        "tags": [],
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 336
        },
        "id": "opened-tuner",
        "outputId": "0074ed82-f1d3-4023-e1cc-a30c3812832e"
      },
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "Text(0.5, 0, 'Apparent Magnitude')"
            ]
          },
          "metadata": {},
          "execution_count": 11
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 1440x432 with 2 Axes>"
            ],
            "image/png": 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\n"
          },
          "metadata": {
            "needs_background": "light"
          }
        }
      ],
      "source": [
        "fig, axes = plt.subplots(1,2, figsize=(20,6))\n",
        "\n",
        "sns.kdeplot(data = stars_dff['Amag'].loc[stars_dff['TargetClass']==0], shade=True, ax = axes[0],label='Dwarf')\n",
        "sns.kdeplot(data = stars_dff['Amag'].loc[stars_dff['TargetClass']==1], shade=True, ax = axes[0],label='Giant')\n",
        "axes[0].legend()\n",
        "\n",
        "axes[0].set_xlabel('Absolute Magnitude', size=14)\n",
        "sns.kdeplot(data = stars_dff['Vmag'].loc[stars_dff['TargetClass']==0], shade=True, ax = axes[1],label='Dwarf')\n",
        "sns.kdeplot(data = stars_dff['Vmag'].loc[stars_dff['TargetClass']==1], shade=True, ax = axes[1],label='Giant')\n",
        "axes[1].legend()\n",
        "\n",
        "axes[1].set_xlabel('Apparent Magnitude', size=14)"
      ]
    },
    {
      "cell_type": "markdown",
      "id": "satellite-adult",
      "metadata": {
        "papermill": {
          "duration": 0.037087,
          "end_time": "2021-04-16T21:55:13.378391",
          "exception": false,
          "start_time": "2021-04-16T21:55:13.341304",
          "status": "completed"
        },
        "tags": [],
        "id": "satellite-adult"
      },
      "source": [
        "# 4 - Feature Engineering"
      ]
    },
    {
      "cell_type": "markdown",
      "id": "identified-stone",
      "metadata": {
        "papermill": {
          "duration": 0.046202,
          "end_time": "2021-04-16T21:55:13.477451",
          "exception": false,
          "start_time": "2021-04-16T21:55:13.431249",
          "status": "completed"
        },
        "tags": [],
        "id": "identified-stone"
      },
      "source": [
        "## 4.1 - Why feature engineering?"
      ]
    },
    {
      "cell_type": "markdown",
      "id": "vietnamese-serbia",
      "metadata": {
        "papermill": {
          "duration": 0.036205,
          "end_time": "2021-04-16T21:55:13.553173",
          "exception": false,
          "start_time": "2021-04-16T21:55:13.516968",
          "status": "completed"
        },
        "tags": [],
        "id": "vietnamese-serbia"
      },
      "source": [
        "If we examine the dataset, we can see that the scatter plots shows an interesting division of the space. Just a small number of stars would be misclasified if we drawed a simple curve in order to separate the two kind of stars. The idea is to expand our features by, for example, calculating the squared value of some columns and also performing some calculations between two columns in order to obtain a third one."
      ]
    },
    {
      "cell_type": "markdown",
      "id": "flexible-adventure",
      "metadata": {
        "papermill": {
          "duration": 0.035746,
          "end_time": "2021-04-16T21:55:13.626057",
          "exception": false,
          "start_time": "2021-04-16T21:55:13.590311",
          "status": "completed"
        },
        "tags": [],
        "id": "flexible-adventure"
      },
      "source": [
        "## 4.2 - Working with features"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 12,
      "id": "historical-employer",
      "metadata": {
        "papermill": {
          "duration": 0.048051,
          "end_time": "2021-04-16T21:55:13.710019",
          "exception": false,
          "start_time": "2021-04-16T21:55:13.661968",
          "status": "completed"
        },
        "tags": [],
        "id": "historical-employer"
      },
      "outputs": [],
      "source": [
        "#Let's calculate the squared value of the apparent and absolute magnitudes. The same for the B-V column.\n",
        "\n",
        "stars_df_eng = stars_dff.copy()\n",
        "\n",
        "stars_df_eng['Amag_SQ'] = stars_df_eng['Amag']**2\n",
        "stars_df_eng['Vmag_SQ'] = stars_df_eng['Vmag']**2\n",
        "stars_df_eng['B-V_SQ'] = stars_df_eng['B-V']**2"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 13,
      "id": "intellectual-bachelor",
      "metadata": {
        "papermill": {
          "duration": 0.044665,
          "end_time": "2021-04-16T21:55:13.790958",
          "exception": false,
          "start_time": "2021-04-16T21:55:13.746293",
          "status": "completed"
        },
        "tags": [],
        "id": "intellectual-bachelor"
      },
      "outputs": [],
      "source": [
        "#Now let's try adding different values to each other\n",
        "\n",
        "stars_df_eng['Sum_AV'] = stars_df_eng['Amag'] + stars_df_eng['Vmag']\n",
        "stars_df_eng['Sub_AV'] = stars_df_eng['Amag'] - stars_df_eng['Vmag']\n",
        "\n",
        "\n",
        "#more\n",
        "stars_df_eng['B-V-Amag'] = stars_df_eng['B-V'] - stars_df_eng['Amag']\n",
        "stars_df_eng['B-V+Amag'] = stars_df_eng['B-V'] + stars_df_eng['Amag']\n",
        "\n"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 14,
      "id": "4c8a9ab8-fa31-4f6c-8839-ae4697dccada",
      "metadata": {
        "tags": [],
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 270
        },
        "id": "4c8a9ab8-fa31-4f6c-8839-ae4697dccada",
        "outputId": "7430580f-41e9-4a3f-ed70-d51c15d4216b"
      },
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "   Vmag   Plx  e_Plx    B-V    SpType       Amag  TargetClass     Amag_SQ  \\\n",
              "0  8.23  2.72   1.01  1.294  K2/K3III  15.402843            0  237.247572   \n",
              "1  7.95  6.12   0.97  1.067  K0III-IV  16.883757            1  285.061250   \n",
              "3  6.93  0.65   0.66  0.240   B0.5III  10.994566            0  120.880482   \n",
              "4  6.82  2.82   0.74  1.273  G8/K0III  14.071245            0  197.999936   \n",
              "5  7.85  4.42   1.13  0.168     B8III  16.077110            0  258.473466   \n",
              "\n",
              "   Vmag_SQ    B-V_SQ     Sum_AV    Sub_AV   B-V-Amag   B-V+Amag  \n",
              "0  67.7329  1.674436  23.632843  7.172843 -14.108843  16.696843  \n",
              "1  63.2025  1.138489  24.833757  8.933757 -15.816757  17.950757  \n",
              "3  48.0249  0.057600  17.924566  4.064566 -10.754566  11.234566  \n",
              "4  46.5124  1.620529  20.891245  7.251245 -12.798245  15.344245  \n",
              "5  61.6225  0.028224  23.927110  8.227110 -15.909110  16.245110  "
            ],
            "text/html": [
              "\n",
              "  <div id=\"df-1acd5bfe-8915-458e-8dd0-15322c1d66ab\">\n",
              "    <div class=\"colab-df-container\">\n",
              "      <div>\n",
              "<style scoped>\n",
              "    .dataframe tbody tr th:only-of-type {\n",
              "        vertical-align: middle;\n",
              "    }\n",
              "\n",
              "    .dataframe tbody tr th {\n",
              "        vertical-align: top;\n",
              "    }\n",
              "\n",
              "    .dataframe thead th {\n",
              "        text-align: right;\n",
              "    }\n",
              "</style>\n",
              "<table border=\"1\" class=\"dataframe\">\n",
              "  <thead>\n",
              "    <tr style=\"text-align: right;\">\n",
              "      <th></th>\n",
              "      <th>Vmag</th>\n",
              "      <th>Plx</th>\n",
              "      <th>e_Plx</th>\n",
              "      <th>B-V</th>\n",
              "      <th>SpType</th>\n",
              "      <th>Amag</th>\n",
              "      <th>TargetClass</th>\n",
              "      <th>Amag_SQ</th>\n",
              "      <th>Vmag_SQ</th>\n",
              "      <th>B-V_SQ</th>\n",
              "      <th>Sum_AV</th>\n",
              "      <th>Sub_AV</th>\n",
              "      <th>B-V-Amag</th>\n",
              "      <th>B-V+Amag</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>0</th>\n",
              "      <td>8.23</td>\n",
              "      <td>2.72</td>\n",
              "      <td>1.01</td>\n",
              "      <td>1.294</td>\n",
              "      <td>K2/K3III</td>\n",
              "      <td>15.402843</td>\n",
              "      <td>0</td>\n",
              "      <td>237.247572</td>\n",
              "      <td>67.7329</td>\n",
              "      <td>1.674436</td>\n",
              "      <td>23.632843</td>\n",
              "      <td>7.172843</td>\n",
              "      <td>-14.108843</td>\n",
              "      <td>16.696843</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1</th>\n",
              "      <td>7.95</td>\n",
              "      <td>6.12</td>\n",
              "      <td>0.97</td>\n",
              "      <td>1.067</td>\n",
              "      <td>K0III-IV</td>\n",
              "      <td>16.883757</td>\n",
              "      <td>1</td>\n",
              "      <td>285.061250</td>\n",
              "      <td>63.2025</td>\n",
              "      <td>1.138489</td>\n",
              "      <td>24.833757</td>\n",
              "      <td>8.933757</td>\n",
              "      <td>-15.816757</td>\n",
              "      <td>17.950757</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>3</th>\n",
              "      <td>6.93</td>\n",
              "      <td>0.65</td>\n",
              "      <td>0.66</td>\n",
              "      <td>0.240</td>\n",
              "      <td>B0.5III</td>\n",
              "      <td>10.994566</td>\n",
              "      <td>0</td>\n",
              "      <td>120.880482</td>\n",
              "      <td>48.0249</td>\n",
              "      <td>0.057600</td>\n",
              "      <td>17.924566</td>\n",
              "      <td>4.064566</td>\n",
              "      <td>-10.754566</td>\n",
              "      <td>11.234566</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>4</th>\n",
              "      <td>6.82</td>\n",
              "      <td>2.82</td>\n",
              "      <td>0.74</td>\n",
              "      <td>1.273</td>\n",
              "      <td>G8/K0III</td>\n",
              "      <td>14.071245</td>\n",
              "      <td>0</td>\n",
              "      <td>197.999936</td>\n",
              "      <td>46.5124</td>\n",
              "      <td>1.620529</td>\n",
              "      <td>20.891245</td>\n",
              "      <td>7.251245</td>\n",
              "      <td>-12.798245</td>\n",
              "      <td>15.344245</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>5</th>\n",
              "      <td>7.85</td>\n",
              "      <td>4.42</td>\n",
              "      <td>1.13</td>\n",
              "      <td>0.168</td>\n",
              "      <td>B8III</td>\n",
              "      <td>16.077110</td>\n",
              "      <td>0</td>\n",
              "      <td>258.473466</td>\n",
              "      <td>61.6225</td>\n",
              "      <td>0.028224</td>\n",
              "      <td>23.927110</td>\n",
              "      <td>8.227110</td>\n",
              "      <td>-15.909110</td>\n",
              "      <td>16.245110</td>\n",
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              "  </tbody>\n",
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              "\n",
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              "        async function convertToInteractive(key) {\n",
              "          const element = document.querySelector('#df-1acd5bfe-8915-458e-8dd0-15322c1d66ab');\n",
              "          const dataTable =\n",
              "            await google.colab.kernel.invokeFunction('convertToInteractive',\n",
              "                                                     [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",
              "          element.innerHTML = '';\n",
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              "    </div>\n",
              "  </div>\n",
              "  "
            ]
          },
          "metadata": {},
          "execution_count": 14
        }
      ],
      "source": [
        "stars_df_eng.head()"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 15,
      "id": "relevant-modeling",
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          "height": 270
        },
        "id": "relevant-modeling",
        "outputId": "7ed20790-e5fc-4c29-c119-4c1aa3c54627"
      },
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "   Vmag   Plx  e_Plx    B-V       Amag  TargetClass     Amag_SQ  Vmag_SQ  \\\n",
              "0  8.23  2.72   1.01  1.294  15.402843            0  237.247572  67.7329   \n",
              "1  7.95  6.12   0.97  1.067  16.883757            1  285.061250  63.2025   \n",
              "3  6.93  0.65   0.66  0.240  10.994566            0  120.880482  48.0249   \n",
              "4  6.82  2.82   0.74  1.273  14.071245            0  197.999936  46.5124   \n",
              "5  7.85  4.42   1.13  0.168  16.077110            0  258.473466  61.6225   \n",
              "\n",
              "     B-V_SQ     Sum_AV    Sub_AV   B-V-Amag   B-V+Amag  SpType_num  \n",
              "0  1.674436  23.632843  7.172843 -14.108843  16.696843         5.0  \n",
              "1  1.138489  24.833757  8.933757 -15.816757  17.950757         5.0  \n",
              "3  0.057600  17.924566  4.064566 -10.754566  11.234566         1.0  \n",
              "4  1.620529  20.891245  7.251245 -12.798245  15.344245         4.0  \n",
              "5  0.028224  23.927110  8.227110 -15.909110  16.245110         1.0  "
            ],
            "text/html": [
              "\n",
              "  <div id=\"df-abd1f676-44e0-4fbf-944d-4a6233425363\">\n",
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              "<style scoped>\n",
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              "<table border=\"1\" class=\"dataframe\">\n",
              "  <thead>\n",
              "    <tr style=\"text-align: right;\">\n",
              "      <th></th>\n",
              "      <th>Vmag</th>\n",
              "      <th>Plx</th>\n",
              "      <th>e_Plx</th>\n",
              "      <th>B-V</th>\n",
              "      <th>Amag</th>\n",
              "      <th>TargetClass</th>\n",
              "      <th>Amag_SQ</th>\n",
              "      <th>Vmag_SQ</th>\n",
              "      <th>B-V_SQ</th>\n",
              "      <th>Sum_AV</th>\n",
              "      <th>Sub_AV</th>\n",
              "      <th>B-V-Amag</th>\n",
              "      <th>B-V+Amag</th>\n",
              "      <th>SpType_num</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>0</th>\n",
              "      <td>8.23</td>\n",
              "      <td>2.72</td>\n",
              "      <td>1.01</td>\n",
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              "      <td>15.402843</td>\n",
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              "      <td>-14.108843</td>\n",
              "      <td>16.696843</td>\n",
              "      <td>5.0</td>\n",
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              "    <tr>\n",
              "      <th>1</th>\n",
              "      <td>7.95</td>\n",
              "      <td>6.12</td>\n",
              "      <td>0.97</td>\n",
              "      <td>1.067</td>\n",
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              "      <td>1</td>\n",
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              "      <td>8.933757</td>\n",
              "      <td>-15.816757</td>\n",
              "      <td>17.950757</td>\n",
              "      <td>5.0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>3</th>\n",
              "      <td>6.93</td>\n",
              "      <td>0.65</td>\n",
              "      <td>0.66</td>\n",
              "      <td>0.240</td>\n",
              "      <td>10.994566</td>\n",
              "      <td>0</td>\n",
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              "      <td>4.064566</td>\n",
              "      <td>-10.754566</td>\n",
              "      <td>11.234566</td>\n",
              "      <td>1.0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>4</th>\n",
              "      <td>6.82</td>\n",
              "      <td>2.82</td>\n",
              "      <td>0.74</td>\n",
              "      <td>1.273</td>\n",
              "      <td>14.071245</td>\n",
              "      <td>0</td>\n",
              "      <td>197.999936</td>\n",
              "      <td>46.5124</td>\n",
              "      <td>1.620529</td>\n",
              "      <td>20.891245</td>\n",
              "      <td>7.251245</td>\n",
              "      <td>-12.798245</td>\n",
              "      <td>15.344245</td>\n",
              "      <td>4.0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>5</th>\n",
              "      <td>7.85</td>\n",
              "      <td>4.42</td>\n",
              "      <td>1.13</td>\n",
              "      <td>0.168</td>\n",
              "      <td>16.077110</td>\n",
              "      <td>0</td>\n",
              "      <td>258.473466</td>\n",
              "      <td>61.6225</td>\n",
              "      <td>0.028224</td>\n",
              "      <td>23.927110</td>\n",
              "      <td>8.227110</td>\n",
              "      <td>-15.909110</td>\n",
              "      <td>16.245110</td>\n",
              "      <td>1.0</td>\n",
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              "          document.querySelector('#df-abd1f676-44e0-4fbf-944d-4a6233425363 button.colab-df-convert');\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",
              "          element.innerHTML = '';\n",
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              "  </div>\n",
              "  "
            ]
          },
          "metadata": {},
          "execution_count": 15
        }
      ],
      "source": [
        "stars_df_eng['SpType_1st'] = stars_df_eng['SpType'].str[0]\n",
        "\n",
        "\n",
        "\n",
        "# Create a dictionary to map letters to integers\n",
        "sp_type_dict = {'O': 0, 'B': 1, 'A': 2, 'F': 3, 'G': 4, 'K': 5, 'M': 6}\n",
        "\n",
        "# Apply the map() method to the 'SpType_1st' column using the dictionary\n",
        "stars_df_eng['SpType_num'] = stars_df_eng['SpType_1st'].map(sp_type_dict)\n",
        "\n",
        "stars_numeric = stars_df_eng.drop(['SpType','SpType_1st'], inplace=False, axis='columns')\n",
        "#stars_numeric['SpType_num'] = stars_numeric['SpType_num'].astype('int64')\n",
        "stars_numeric.head()"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 16,
      "id": "instructional-sound",
      "metadata": {
        "papermill": {
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          "status": "completed"
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        "outputId": "7e8d4d28-9655-438b-89db-0feb34f98580"
      },
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "       Vmag       Plx     e_Plx       B-V      Amag  TargetClass   Amag_SQ  \\\n",
            "0  0.750912  0.009705  0.604790  0.511462  0.607312            0  0.368828   \n",
            "1  0.725365  0.021836  0.580838  0.421739  0.665703            1  0.443160   \n",
            "3  0.632299  0.002319  0.395210  0.094862  0.433500            0  0.187922   \n",
            "4  0.622263  0.010062  0.443114  0.503162  0.554809            0  0.307813   \n",
            "5  0.716241  0.015771  0.676647  0.066403  0.633898            0  0.401826   \n",
            "\n",
            "    Vmag_SQ    B-V_SQ    Sum_AV    Sub_AV   B-V-Amag   B-V+Amag  SpType_num  \n",
            "0  0.563869  0.261594  0.692887  0.416109 -14.108843  16.696843         5.0  \n",
            "1  0.526154  0.177864  0.728096  0.518263 -15.816757  17.950757         5.0  \n",
            "3  0.399802  0.008999  0.525527  0.235793 -10.754566  11.234566         1.0  \n",
            "4  0.387211  0.253172  0.612506  0.420658 -12.798245  15.344245         4.0  \n",
            "5  0.513001  0.004409  0.701514  0.477269 -15.909110  16.245110         1.0  \n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "<ipython-input-16-45f9e520b294>:12: SettingWithCopyWarning: \n",
            "A value is trying to be set on a copy of a slice from a DataFrame.\n",
            "Try using .loc[row_indexer,col_indexer] = value instead\n",
            "\n",
            "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
            "  stars_numeric['TargetClass'] = stars_numeric['TargetClass'].astype('int64')\n"
          ]
        }
      ],
      "source": [
        "# Select the columns to be standardized (excluding 'SpType_num')\n",
        "cols_to_scale = ['Vmag', 'Plx', 'e_Plx', 'B-V', 'Amag', 'Amag_SQ', 'Vmag_SQ', 'B-V_SQ', 'Sum_AV', 'Sub_AV']\n",
        "\n",
        "# Standardize the selected columns\n",
        "for col in cols_to_scale:\n",
        "    stars_numeric[col] = stars_numeric[col] / stars_numeric[col].max()\n",
        "\n",
        "# Drop any rows with missing values (NaN)\n",
        "stars_numeric = stars_numeric.dropna()\n",
        "\n",
        "# Convert the 'TargetClass' column to integer type\n",
        "stars_numeric['TargetClass'] = stars_numeric['TargetClass'].astype('int64')\n",
        "\n",
        "# Print the first few rows of the standardized DataFrame\n",
        "print(stars_numeric.head())\n"
      ]
    },
    {
      "cell_type": "markdown",
      "id": "alone-calendar",
      "metadata": {
        "papermill": {
          "duration": 0.039204,
          "end_time": "2021-04-16T21:55:14.054391",
          "exception": false,
          "start_time": "2021-04-16T21:55:14.015187",
          "status": "completed"
        },
        "tags": [],
        "id": "alone-calendar"
      },
      "source": [
        "# 5 - Splitting the dataset"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 17,
      "id": "banned-confirmation",
      "metadata": {
        "papermill": {
          "duration": 0.050217,
          "end_time": "2021-04-16T21:55:14.142858",
          "exception": false,
          "start_time": "2021-04-16T21:55:14.092641",
          "status": "completed"
        },
        "tags": [],
        "id": "banned-confirmation"
      },
      "outputs": [],
      "source": [
        "#We will use a 20% of the data for the test dataset.\n",
        "X = stars_numeric.drop(['TargetClass','SpType_num','Plx','Vmag','e_Plx','Sum_AV','Sub_AV','Vmag_SQ'], axis=1, inplace=False)\n",
        "Y = stars_numeric['SpType_num']\n",
        "X_train, X_test, Y_train, Y_test = train_test_split(X,Y, test_size = 0.20, random_state=1)"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 18,
      "id": "00d34f62-90a7-40bb-ad81-f8a5dd762805",
      "metadata": {
        "tags": [],
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 424
        },
        "id": "00d34f62-90a7-40bb-ad81-f8a5dd762805",
        "outputId": "40ccb4e9-9e60-4a6e-fb42-f46f42806b7a"
      },
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "           B-V      Amag   Amag_SQ    B-V_SQ   B-V-Amag   B-V+Amag\n",
              "2613  0.522530  0.577097  0.333040  0.273037 -13.314499  15.958499\n",
              "775   0.363636  0.702720  0.493816  0.132231 -16.902603  18.742603\n",
              "216   0.294862  0.813920  0.662466  0.086943 -19.896885  21.388885\n",
              "3599  0.526482  0.569432  0.324252  0.277184 -13.110100  15.774100\n",
              "1387  0.041107  0.631150  0.398350  0.001690 -15.903420  16.111420\n",
              "...        ...       ...       ...       ...        ...        ...\n",
              "3000  0.394862  0.633089  0.400802  0.155916 -15.057602  17.055602\n",
              "998   0.603557  0.633560  0.401399  0.364281 -14.541554  17.595554\n",
              "1206  0.484585  0.562998  0.316967  0.234823 -13.052932  15.504932\n",
              "265   0.071937  0.619807  0.384161  0.005175 -15.537735  15.901735\n",
              "1169  0.281423  0.748622  0.560435  0.079199 -18.274778  19.698778\n",
              "\n",
              "[2684 rows x 6 columns]"
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              "<style scoped>\n",
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              "      <th></th>\n",
              "      <th>B-V</th>\n",
              "      <th>Amag</th>\n",
              "      <th>Amag_SQ</th>\n",
              "      <th>B-V_SQ</th>\n",
              "      <th>B-V-Amag</th>\n",
              "      <th>B-V+Amag</th>\n",
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              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>2613</th>\n",
              "      <td>0.522530</td>\n",
              "      <td>0.577097</td>\n",
              "      <td>0.333040</td>\n",
              "      <td>0.273037</td>\n",
              "      <td>-13.314499</td>\n",
              "      <td>15.958499</td>\n",
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              "      <th>775</th>\n",
              "      <td>0.363636</td>\n",
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              "      <td>-16.902603</td>\n",
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              "      <th>216</th>\n",
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              "      <td>0.086943</td>\n",
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              "      <th>1387</th>\n",
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              "      <td>0.394862</td>\n",
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              "      <td>0.155916</td>\n",
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              "      <td>0.603557</td>\n",
              "      <td>0.633560</td>\n",
              "      <td>0.401399</td>\n",
              "      <td>0.364281</td>\n",
              "      <td>-14.541554</td>\n",
              "      <td>17.595554</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1206</th>\n",
              "      <td>0.484585</td>\n",
              "      <td>0.562998</td>\n",
              "      <td>0.316967</td>\n",
              "      <td>0.234823</td>\n",
              "      <td>-13.052932</td>\n",
              "      <td>15.504932</td>\n",
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              "    <tr>\n",
              "      <th>265</th>\n",
              "      <td>0.071937</td>\n",
              "      <td>0.619807</td>\n",
              "      <td>0.384161</td>\n",
              "      <td>0.005175</td>\n",
              "      <td>-15.537735</td>\n",
              "      <td>15.901735</td>\n",
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              "    <tr>\n",
              "      <th>1169</th>\n",
              "      <td>0.281423</td>\n",
              "      <td>0.748622</td>\n",
              "      <td>0.560435</td>\n",
              "      <td>0.079199</td>\n",
              "      <td>-18.274778</td>\n",
              "      <td>19.698778</td>\n",
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              "<p>2684 rows × 6 columns</p>\n",
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              "              title=\"Convert this dataframe to an interactive table.\"\n",
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              "  <style>\n",
              "    .colab-df-container {\n",
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              "\n",
              "    [theme=dark] .colab-df-convert {\n",
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              "    [theme=dark] .colab-df-convert:hover {\n",
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              "\n",
              "      <script>\n",
              "        const buttonEl =\n",
              "          document.querySelector('#df-b461c8c7-5ac9-4e51-8320-3b832c5966a2 button.colab-df-convert');\n",
              "        buttonEl.style.display =\n",
              "          google.colab.kernel.accessAllowed ? 'block' : 'none';\n",
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              "        async function convertToInteractive(key) {\n",
              "          const element = document.querySelector('#df-b461c8c7-5ac9-4e51-8320-3b832c5966a2');\n",
              "          const dataTable =\n",
              "            await google.colab.kernel.invokeFunction('convertToInteractive',\n",
              "                                                     [key], {});\n",
              "          if (!dataTable) return;\n",
              "\n",
              "          const docLinkHtml = 'Like what you see? Visit the ' +\n",
              "            '<a target=\"_blank\" href=https://colab.research.google.com/notebooks/data_table.ipynb>data table notebook</a>'\n",
              "            + ' to learn more about interactive tables.';\n",
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            ]
          },
          "metadata": {},
          "execution_count": 18
        }
      ],
      "source": [
        "X_train"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 19,
      "id": "519fdb36-9548-44e1-9fed-6782d468d1b4",
      "metadata": {
        "tags": [],
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "519fdb36-9548-44e1-9fed-6782d468d1b4",
        "outputId": "02c9efb6-80a9-4f8c-a850-7df0a9f06bc2"
      },
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "2613    5.0\n",
              "775     4.0\n",
              "216     4.0\n",
              "3599    5.0\n",
              "1387    2.0\n",
              "       ... \n",
              "3000    5.0\n",
              "998     5.0\n",
              "1206    5.0\n",
              "265     2.0\n",
              "1169    4.0\n",
              "Name: SpType_num, Length: 2684, dtype: float64"
            ]
          },
          "metadata": {},
          "execution_count": 19
        }
      ],
      "source": [
        "Y_train"
      ]
    },
    {
      "cell_type": "markdown",
      "id": "secure-ghost",
      "metadata": {
        "papermill": {
          "duration": 0.037791,
          "end_time": "2021-04-16T21:55:14.218254",
          "exception": false,
          "start_time": "2021-04-16T21:55:14.180463",
          "status": "completed"
        },
        "tags": [],
        "id": "secure-ghost"
      },
      "source": [
        "# 6 - Models Development"
      ]
    },
    {
      "cell_type": "markdown",
      "id": "ceramic-daniel",
      "metadata": {
        "papermill": {
          "duration": 0.03671,
          "end_time": "2021-04-16T21:55:14.292680",
          "exception": false,
          "start_time": "2021-04-16T21:55:14.255970",
          "status": "completed"
        },
        "tags": [],
        "id": "ceramic-daniel"
      },
      "source": [
        "# 6.1 - KNN Model"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 21,
      "id": "abroad-porter",
      "metadata": {
        "papermill": {
          "duration": 1.426197,
          "end_time": "2021-04-16T21:55:15.755213",
          "exception": false,
          "start_time": "2021-04-16T21:55:14.329016",
          "status": "completed"
        },
        "tags": [],
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "abroad-porter",
        "outputId": "830ff148-6e87-48e5-8f27-daf443a72ffa"
      },
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "The best number of neighbors is 5 with a test accuracy of 79.88077496274218%\n"
          ]
        }
      ],
      "source": [
        "n_neigh = 15\n",
        "K_best = 0\n",
        "Score_best = 0\n",
        "\n",
        "for i in range(1,n_neigh):\n",
        "    KNN = KNeighborsClassifier(n_neighbors=i)\n",
        "    KNN.fit(X_train,Y_train)\n",
        "    Y_pred = KNN.predict(X_test)\n",
        "    if KNN.score(X_test,Y_test) > Score_best:\n",
        "        Score_best = KNN.score(X_test,Y_test)\n",
        "        K_best = i\n",
        "print(\"The best number of neighbors is {} with a test accuracy of {}%\"\"\".format(K_best, (Score_best*100)))\n"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 22,
      "id": "stunning-pressing",
      "metadata": {
        "papermill": {
          "duration": 0.240261,
          "end_time": "2021-04-16T21:55:16.033418",
          "exception": false,
          "start_time": "2021-04-16T21:55:15.793157",
          "status": "completed"
        },
        "tags": [],
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 279
        },
        "id": "stunning-pressing",
        "outputId": "e6cfe242-fa84-40a0-e675-a704fa216e4d"
      },
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 432x288 with 2 Axes>"
            ],
            "image/png": 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\n"
          },
          "metadata": {
            "needs_background": "light"
          }
        }
      ],
      "source": [
        "# Define the dictionary to map integers to spectral types\n",
        "sp_type_dict = {0: 'O', 1: 'B', 2: 'A', 3: 'F', 4: 'G', 5: 'K', 6: 'M'}\n",
        "\n",
        "# Compute the confusion matrix\n",
        "matrix = confusion_matrix(Y_test, Y_pred, labels=[0, 1, 2, 3, 4, 5, 6])\n",
        "\n",
        "# Create the ConfusionMatrixDisplay object with updated labels\n",
        "cf = ConfusionMatrixDisplay(matrix, display_labels=[sp_type_dict[i] for i in range(7)])\n",
        "\n",
        "# Plot the confusion matrix\n",
        "cf.plot()\n",
        "plt.show()\n"
      ]
    },
    {
      "cell_type": "markdown",
      "id": "thrown-feeding",
      "metadata": {
        "papermill": {
          "duration": 0.039137,
          "end_time": "2021-04-16T21:55:16.112039",
          "exception": false,
          "start_time": "2021-04-16T21:55:16.072902",
          "status": "completed"
        },
        "tags": [],
        "id": "thrown-feeding"
      },
      "source": [
        "# 6.2 - Logistic Regression"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 23,
      "id": "solid-manchester",
      "metadata": {
        "papermill": {
          "duration": 0.237175,
          "end_time": "2021-04-16T21:55:16.468384",
          "exception": false,
          "start_time": "2021-04-16T21:55:16.231209",
          "status": "completed"
        },
        "tags": [],
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "solid-manchester",
        "outputId": "4b21eede-35b4-47c7-83eb-6d5c92aec713"
      },
      "outputs": [
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "/usr/local/lib/python3.8/dist-packages/sklearn/linear_model/_logistic.py:814: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
            "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
            "\n",
            "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
            "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
            "Please also refer to the documentation for alternative solver options:\n",
            "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
            "  n_iter_i = _check_optimize_result(\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "The best solver for the Logistic Regression is newton-cg, with a 78.9865871833085% of accuracy in the test set.\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "/usr/local/lib/python3.8/dist-packages/sklearn/linear_model/_sag.py:352: ConvergenceWarning: The max_iter was reached which means the coef_ did not converge\n",
            "  warnings.warn(\n",
            "/usr/local/lib/python3.8/dist-packages/sklearn/linear_model/_sag.py:352: ConvergenceWarning: The max_iter was reached which means the coef_ did not converge\n",
            "  warnings.warn(\n"
          ]
        }
      ],
      "source": [
        "solvers = ['newton-cg', 'lbfgs', 'liblinear', 'sag', 'saga']\n",
        "best_solver = ''\n",
        "best_score_LR = 0\n",
        "for i in solvers:\n",
        "    LogReg = LogisticRegression(solver=i)\n",
        "    LogReg.fit(X_train, Y_train)\n",
        "    Y_pred_LR = LogReg.predict(X_test)\n",
        "    score = LogReg.score(X_test,Y_test)\n",
        "    \n",
        "    if score > best_score_LR:\n",
        "        best_score_LR = score\n",
        "        best_solver = i\n",
        "print('The best solver for the Logistic Regression is {}, with a {}% of accuracy in the test set.'.format(best_solver, best_score_LR*100))\n"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 24,
      "id": "aggressive-classic",
      "metadata": {
        "papermill": {
          "duration": 0.203758,
          "end_time": "2021-04-16T21:55:16.716627",
          "exception": false,
          "start_time": "2021-04-16T21:55:16.512869",
          "status": "completed"
        },
        "tags": [],
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 279
        },
        "id": "aggressive-classic",
        "outputId": "032f11aa-30a2-4635-f5b6-4472170bdda8"
      },
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 432x288 with 2 Axes>"
            ],
            "image/png": 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\n"
          },
          "metadata": {
            "needs_background": "light"
          }
        }
      ],
      "source": [
        "matrix_LR = confusion_matrix(Y_test, Y_pred_LR, labels=[0, 1, 2, 3, 4, 5, 6])\n",
        "\n",
        "# Create the ConfusionMatrixDisplay object with updated labels\n",
        "cf = ConfusionMatrixDisplay(matrix_LR, display_labels=[sp_type_dict[i] for i in range(7)])\n",
        "\n",
        "# Plot the confusion matrix\n",
        "cf.plot()\n",
        "plt.show()\n"
      ]
    },
    {
      "cell_type": "markdown",
      "id": "b002748d",
      "metadata": {
        "id": "b002748d"
      },
      "source": [
        "# Classical SVC v.s. Quantum SVC"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 29,
      "id": "included-performer",
      "metadata": {
        "papermill": {
          "duration": 0.042303,
          "end_time": "2021-04-16T21:55:18.334657",
          "exception": false,
          "start_time": "2021-04-16T21:55:18.292354",
          "status": "completed"
        },
        "tags": [],
        "id": "included-performer"
      },
      "outputs": [],
      "source": [
        "# General Imports\n",
        "import numpy as np\n",
        "import time\n",
        "import pandas as pd\n",
        "from functools import reduce\n",
        "\n",
        "# Visualisation Imports\n",
        "import matplotlib.pyplot as plt\n",
        "import seaborn as sns\n",
        "\n",
        "# Scikit Imports\n",
        "from sklearn.preprocessing import *\n",
        "from sklearn.decomposition import *\n",
        "from sklearn.model_selection import *\n",
        "from sklearn import datasets\n",
        "from sklearn.model_selection import train_test_split\n",
        "from sklearn.svm import SVC\n",
        "from sklearn.decomposition import PCA\n",
        "from sklearn.preprocessing import StandardScaler, MinMaxScaler\n",
        "\n",
        "# Qiskit Imports\n",
        "from qiskit import Aer, execute\n",
        "from qiskit.circuit import QuantumCircuit, Parameter, ParameterVector\n",
        "from qiskit.circuit.library import PauliFeatureMap, ZFeatureMap, ZZFeatureMap\n",
        "from qiskit.circuit.library import TwoLocal, NLocal, RealAmplitudes, EfficientSU2\n",
        "from qiskit.circuit.library import HGate, RXGate, RYGate, RZGate, CXGate, CRXGate, CRZGate\n",
        "from qiskit_machine_learning.kernels import QuantumKernel\n",
        "from qiskit import QuantumCircuit, transpile, Aer, IBMQ\n",
        "from qiskit.tools.jupyter import *\n",
        "from qiskit.visualization import *\n",
        "#from ibm_quantum_widgets import *\n",
        "from qiskit.providers.aer import QasmSimulator\n",
        "from qiskit import *\n",
        "from qiskit.opflow import *\n",
        "from qiskit.utils import *\n",
        "from qiskit.circuit import *\n",
        "from qiskit.circuit.library import *\n",
        "from qiskit.algorithms.optimizers import *\n",
        "from qiskit_machine_learning.neural_networks import *\n",
        "from qiskit_machine_learning.algorithms.classifiers import *\n",
        "from qiskit_machine_learning.algorithms.regressors import *\n",
        "from qiskit_machine_learning.datasets import *\n",
        "\n",
        "from typing import Union\n",
        "\n",
        "from qiskit_machine_learning.exceptions import QiskitMachineLearningError\n",
        "\n",
        "from qiskit import BasicAer\n",
        "from qiskit.algorithms.state_fidelities import ComputeUncompute\n",
        "from qiskit.circuit.library import ZZFeatureMap\n",
        "from qiskit.primitives import Sampler\n",
        "from qiskit.utils import algorithm_globals\n",
        "from qiskit_machine_learning.algorithms import QSVC\n",
        "#from qiskit_machine_learning.kernels import FidelityQuantumKernel\n",
        "\n",
        "seed = 12345\n",
        "algorithm_globals.random_seed = seed\n",
        "\n",
        "# Loading your IBM Quantum account(s)\n",
        "# provider = IBMQ.load_account()"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 39,
      "id": "requested-scout",
      "metadata": {
        "papermill": {
          "duration": 0.042489,
          "end_time": "2021-04-16T21:55:18.420473",
          "exception": false,
          "start_time": "2021-04-16T21:55:18.377984",
          "status": "completed"
        },
        "tags": [],
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "requested-scout",
        "outputId": "58c5fc6f-a9e1-4906-ef49-faa27d622d2f"
      },
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "{'qiskit-terra': '0.23.2', 'qiskit-aer': '0.11.2', 'qiskit-ignis': None, 'qiskit-ibmq-provider': '0.20.1', 'qiskit': None, 'qiskit-nature': None, 'qiskit-finance': None, 'qiskit-optimization': None, 'qiskit-machine-learning': '0.5.0'}"
            ]
          },
          "metadata": {},
          "execution_count": 39
        }
      ],
      "source": [
        "import qiskit\n",
        "qiskit.__qiskit_version__"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 41,
      "id": "9bb35b44",
      "metadata": {
        "tags": [],
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "9bb35b44",
        "outputId": "c11eba19-de97-403d-c315-3ad1436baa9f"
      },
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "Original Size:\n",
            "(3019, 6) (336, 6)\n",
            "\n",
            "After Cut:\n",
            "(3019, 6) (336, 6)\n"
          ]
        }
      ],
      "source": [
        "#We will use a 20% of the data for the test dataset.\n",
        "X = stars_numeric.drop(['TargetClass','SpType_num','Plx','Vmag','e_Plx','Sum_AV','Sub_AV','Vmag_SQ'], axis=1, inplace=False)\n",
        "Y = stars_numeric['SpType_num']\n",
        "sample_train, sample_test, label_train, label_test = train_test_split(X,Y, test_size = 0.1, random_state=1)\n",
        "print(\"Original Size:\")\n",
        "print(sample_train.shape,sample_test.shape)\n",
        "print()\n",
        "# Reduce dimensions\n",
        "n_dim = X_train.shape[1]\n",
        "pca = PCA(n_components=n_dim).fit(sample_train)\n",
        "sample_train = pca.transform(sample_train)\n",
        "sample_test = pca.transform(sample_test)\n",
        "\n",
        "# Normalise\n",
        "std_scale = StandardScaler().fit(sample_train)\n",
        "sample_train = std_scale.transform(sample_train)\n",
        "sample_test = std_scale.transform(sample_test)\n",
        "\n",
        "# Scale\n",
        "samples = np.append(sample_train, sample_test, axis=0)\n",
        "minmax_scale = MinMaxScaler((-1, 1)).fit(samples)\n",
        "sample_train = minmax_scale.transform(sample_train)\n",
        "sample_test = minmax_scale.transform(sample_test)\n",
        "\n",
        "print(\"After Cut:\")\n",
        "# Select\n",
        "train_size = 3019\n",
        "sample_train = sample_train[:train_size]\n",
        "label_train = label_train[:train_size]\n",
        "\n",
        "test_size = 336\n",
        "sample_test = sample_test[:test_size]\n",
        "label_test = label_test[:test_size]\n",
        "print(sample_train.shape,sample_test.shape)"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 42,
      "id": "9966f77a",
      "metadata": {
        "tags": [],
        "id": "9966f77a"
      },
      "outputs": [],
      "source": [
        "zz_map = ZZFeatureMap(feature_dimension=len(sample_train[0]), reps=2, entanglement='full', insert_barriers=True)\n",
        "zz_kernel = QuantumKernel(feature_map=zz_map, quantum_instance=Aer.get_backend('statevector_simulator'))"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 43,
      "id": "c341f4d3",
      "metadata": {
        "tags": [],
        "id": "c341f4d3"
      },
      "outputs": [],
      "source": [
        "zz_circuit = zz_kernel.construct_circuit(sample_train[0], sample_train[1])\n",
        "#zz_circuit.decompose().decompose().draw(output='mpl')"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 44,
      "id": "b1b54723",
      "metadata": {
        "tags": [],
        "id": "b1b54723"
      },
      "outputs": [],
      "source": [
        "#zz_circuit.draw('mpl')"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 45,
      "id": "fe67c828",
      "metadata": {
        "tags": [],
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 353
        },
        "id": "fe67c828",
        "outputId": "1733a970-d1bf-47d8-b0fd-cb6c8e60e837"
      },
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "(3019, 3019) (336, 3019)\n"
          ]
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 720x360 with 2 Axes>"
            ],
            "image/png": 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Bpd0tdEMjn0/SOh+hGRpRGDEZTrh+e5N7Xzui3CyTzyeZTGw6p524wFNUJT4OPSk+fPie6Mb6no+9sImiCE3XkGQJddWRlCQJZ+mwnFnoqSQAztIBz0XPiufcczxKjRKj7oiEniCVTuHaLvbCxvqHf+bdKIpe+5a8Ka211lprPYP6lkNoJUn6EeCvAQrwN6Mo+o9+tftmtm5Gymf/IoZpMHn7F1FvvI4sixFSFEUsZguqW1Vmoxmu7ZIr58SbvZbAzJrki2lapz201WgQCXRDx3VcwiDESBmEYYg1tfAevk35O74fz/FEceN4SLIY6Vx2BxRFoVAtxB03M2viLB2mrTabt6/SPumyc63J6UEbSZYo10u4jsf+lRLvfvkJtc0qvYs+siKTL+eZDqe4jiuKhECMIZ2lw4uv7nFyPMK1XRzbodIoUSqlOD8bo6gKg/aA2mYV3w9IpTQujrt4rsfGXgNJAkWRWS49JoMJYRCSyqQA0JM6hUKSk8NufIH1XC/ucpmrzqSsyDjWkivP7fL04yNUXUNRFYyUwaQ/wTANUukUw7M2Rj5LQkuQyafpnvXY2Ktz8uScdC6NLMtMBhP2bm7RPusTRRGf/ex13nn/jNloxvYVAe/vdydMOn0KjSqj8w65RiUuCGbjGUkzib2wCYMQzdCwFzb1rSrT8ZxJd4iWSpLOpbFmVjwmM5IGkwcfUn3ldayJxXN3tvjo/WMkSYo7c7YlurCpdCoe614WUooiupHZQhZraqEn9Xgs+ZlP7fGzP38/LkwamyUef3xMKp1iMV/w0htXabfn9Ft9yo0yS2tJ4AfinDMNbt6qcffDc3zPJ5PPiGI1m2IynKEZGrIsY80sdENfjWRFITjujwmDEEVVSOfTzMdzcqVcXDCamRS9i378+5M0kwRBgKZrLOYLwtW4U0/qOEtxPps5k0l/gqIq4nUsZGgfXWDmM2i6xs3bdd7+0mOMlMHe1RoP756SzqchAmtqUaoXaZ90CMMw7jS3T3u4iyVyIkGhWmBwfI6cTJEtZhk/vMfup99gMrKYjWbUt6uMB9N4/F4oZ3jwn/7Qujhba621vq31LeecRVH0z6Iouh5F0ZVfqzADsOY2ZtZkOV+i3ngd/+Hb5Eo58uUcAMVake79h9Q2SlQ2KhCBLMts7tWYDCZcHHe/7qOKIsysGRdmi8GQUW/EfDynsV2FvZdwbRdrZtHcruAvFkiShGZoJPQE/nIpxn/9MZ7rUa4XmI1nTIdTClsbjHoTAE4P2qgJlYSWYGnZLK0lX3v7kMZ2DXvpiNHPcMhLz9WQFRkzIwqixmaRazcbmFmT975wj8lgwtJaYqQMBp0Rd987ZNQdsZgt8AcdRr0xnfsPURQZM2eSL+cZD6a0TrpcHHfZ2cmzPD/GsR1GvRGVWo4oinj64BxFUbCmFovhmEw+w+z0hGKtyGImfuaEliBbynN60ObT3/Mc2UJWFEiWDYEXF7D7L14hDEJm7Q7zicXejQ3GqwLjhZe2mE/mIMHhvSPy5TxRGPHWlw8ZdoYUa0UuTnocPDhlMVtQ2qwzGUxIFnKiC/f4HptbefSkLjpspwdki1nCMCRfzjPqT5AkiZ2bO4QrH+Cl78pZOHiuR+7miyQSKoVKjl7PolQr4NouiVQKSZIoN8tkC1kWvZ7w7UXCo2V32zz/0ha+K4plPSUKs/l4ThRG/NIXnogO29JhMVtwetgh8n3y5Ry5Uo677x8xHYqxXRAEYlw5nsXn4gfvnZA0k/iuz7AzZHTeYTyYksqkmI1nLOYLqo2i6FKtzrlhZ8idV3dFdyydFK+B7dI6amFfnOAsHSbDKZ7tiCK8WhC+Os/n9vMNjJRBQkuQNJMoikI6lxYj84WDJEnUtyok9ASj3ghkGWtqMRvPODmZoCd1oiji4d1TwiCkWMqwtJY4o6EYAT99j1wpx7WbdU4enZI0kySSBuHFEwatAZlahepmlfGHb1N54Q6TkRh771xrit/jSo5as4Dv+RzdX08011prrbWe6fimROVKlP2RvxR3M3KlHL0vfJ7EzTdIaIl4ZDnsDNEMDWfpYKQMsoUMndPu15cHVsWZkTJIZVJ4rie6MLqGNRMdI2tikcqkWMwWeK4HgDvsk6rVWVpL6tt1Bu0B1Y0yo96EVCaFpifonHbjjhyAZmgAcafHMA18z+fazQYHj7sEfkAynaR/0WfzSpP2aVcUCHPhySrViszGc/SkjjW12NipsFx6DDoj0rk0ztIhDEX3RE2ozMdzVE3F6g0o7WwwG4ki4PK+uWKGXmtAvpxn0B6IboofsLlbYTRcoCYUJoMpQRCgJ3WSZpLZaEa1WaRzPhDH5dikq2XhzVvYcXfqcoQnKzKleonpcCrGrbaL7/kAzCfz2HclSVLcmQPR2bk0rl965mRZJp1LM+6PxXhsNEQvFjFSBlEovuf2fg3H8XEcn95FP/ZgIUEqnaJYztBtjXAdsYyQNJOoCRXXcSlV8ww6Y3zfR1VVltYy/nmiKOLO61e4+/4R6Vw69o8RiSKr3CjTOe2wdaXJyaNTnn/tGu3WhFfuNPnSWwfMhxOuvbjPeLRgMhAjSFVVMbMpBp0hzmQGQKZaipcecqUc4/6Ycr1Ivz2MO1uT3ohSs8KkP8HMmiCJ5wugfdzm9sv7TCY2s/GcazfrHB0OsKYWuVKOxWxBKpNClmW6Z10A0vk0Rsqgd94T54btoBs6akIY/wM/QJKl+PdFkiThwVs9d6qmYk0t0rk0ru0iKzKVWo72+ZBsIUM6rXFx+vVjcJYOt1/c4tH9FlEUifG8oeG7PoZpxN7LMAjFh5Od+up+Czr/zz+27pyttdZa39Z65uObgiDAGk9JaAk0PUHi5ht4D77KotfDmlpxITAfTpAVmc2dMpPhFDNr4rke9a1KPIL0XI/O4RnD8w5hIMaZpWqecW8s/GS9EUtriTubiwtVKisM4/USraMWnuvRbw9REyopU6ffHlCsF1ETwqfmuR4bW0XyReGnCgKxFbqYLXh07wJn6WCNxniOR7lZxnV9jJQo3nzPp75ZZj6xmA6n9M46+J7PeLTAmi0Jw5BPvbrJtD9CURQm3SGFoijAPMfDKOSJogjXcUllUiytJbIiM+iM8F2f9nEbr33Cy69s49gO4/ES13EZtIdkCmKsymq70RqNseZOPHJNZDIoisJ0OMW2bBazBYEf4NouwWRAc0d0KsMwpHsmRqyOLf59uVEWW56eTzqXJgojzIwpxoZ+wGQgOo7NLXG/hJage9omnUtTqBZAM7h+e1OM5lbf9+Sgw8VJl4snJ6gJleloGhdvS2vJ2WEHzdCQJIlsISuOZ+mgqiqtk2683WiNpyT0BLlSblXUZ3n8oEU6l0aSJHzXhwiqG2VK9VLseTx9ekGmmOPoaQfP9fjZz98VG6mpJCdP2/QOjknn0nHBvr2dR5ZltEwaNSU+HAR+wGI4ZjFfoKgKpVISRVWwn3xErVEglU2TySYxs6botlo2hqFy57ka29c2uDgbcv7BR1hTiw/fPWRwfI49ncXPv72waR2K8XIqk4pH2OVmGd8THUFn6TDsDknnzNUIV5wHru0Cohh0bCc2+jtLh1F3xHQwplDKsFh4q/Go2E4FyJfzAJRqBZ4+7uKsusUbe6J7l0wnmY+mWOMpztKhUMkTeh7nT05ZWnY8gl9rrbXW+nbWM12cRWFE4AUYGXGBGvXGJLQENK5D65HABKwurkgSzmRGtzNFlmXhDwpDjh+dCVyAIpMtZIVBPpNmen7OZz5zlflsSaaQYTKYUG6URXdC06g2xdbk5k4ZRVUoN8uAuGBphsZ4ILogzsIhW8xSapRwLYvDx21OD1ok00myxay4uE2HgMAK5GplJt0+o+6IyWBCvpTFMA2KtSJH9w6xlzaGaaDqGu54xLAzpFrPkUqn+KUvPCWVywgPlJnC84SPTlbkuFNWqpdwlk5cEDlLB0VV+PTnbpG/fouvvPUE3dDj8axhGmKTr5zntddE4UbnAGsmOiDpXJr6VjVGO0RRRKaQwZ4vxGuRynLy5Jz96w0UVeHVT1/DdVyqzTKaroli13bjYgxJmMNffn0XPalT365TbRQYDS3hI5wv4PhD7IXNbDTDzGcZDBbk8imuPbclnqtqnlQ6Baoo5vLlPL4vij/74gQ9qeN7PqVakSiKxHEiunhGyhAIjOmMVC6DYy3jzcEoiihV87E367LzOh5MGbQHuI4oWsysycZ2mVI1j+d4hL5PGIQUqgU292qkymWu3agKFIUscXQ0Qk2oFKoFfF8sqZhZk3yziqaLTdPJxBHnbaHJ8ZMWxWqe0WDGbDwj8AOyxSxHD8/42t02p08vRGfSyMTbpUrKBFkRY3gtwaQ7BEmOPWzL+RIi6J52KdcLqKrKlZsbcPIxW1s5NF2jddwWBXkhw3w0xcyZSJJEpZ7HGk3FYykyuDb9zpjFfImZNemc92mdC2P/dDiNPxS4jouZM8Xm62iOpmviPFrO0VLi96jfHpBIGjSvbIoRfnvwrXuDWWuttdZ6RvVMF2eKqvDd33uL+qZAMVyOJZPlMvpzn8L5+MvYC5txf4yWNChuidHjpYH71U9fxzBFRwRATSjxhbFydZ9/8T9+ieHRKc7SIfADwXpK6eiGzrArNt6On3bQdRXP8XjxtSvMJ3PuvNBgMhCep9l4RvekzaA1oLzVQE/pXLstaCHDo1PMrEl2ewfP9cgWs0zOW6hGknQ+Tble4uzRMd0nR0z6E5AEh8xIGYRBSLJcprFT4+DhecyN0pMCF/Hn/+SbHH98QLlRJgojhh3h/xkcnhD4AeP+mEq9QEJPkK/kOTmZiIJDUXCWDmbW5OqNBoVSBiSYjWe0exbL+ZL07VexphbDzpBazaR1Ijb4MoUMoedRqeWpbtXFiyTJNHcbHD3tQAQffyA8R74fMp/MmY1nbF9tsLVXZdwfC9RFQuXtLz2hf3zBfDLn6PE5i5nAjDR3ahTf/N54OxAJLg5b2LbHgw+P8F2fUX8iOoTpVIxQsS2bP/ZDN0lUN9AMjVIlS781oNbIk0wnkRWZTCHDrD/EGk1JpFJi7Fsu8MIre0iy2DDsXgxwbIekmSRXyuE6Ls7SoVgrsrVXI6EnWM6XtC9GTMfCO5Ut5QHonHY4P+4SBAHdrhVvVlpTS2BcxnOyhSzDVl9si+ZMALKFLIfvfoRhGmj5ArIi0znrYaQMKhsVcqUsupHAzAn/5eWYOFMV3bznXtoRBVwpT66Uw17YFBsVClXhsbssKodPn5JMJxn2JiTTYnuz8qnP8bV3DtnaLbN1pSk2nE2D9GoR4pKLt3F1i1KtCEDt2h6z8Yx0NoWiKvE2sZlOktATDM67YswcgW3Z4msACazxDDVfJF8WCxlm1sRb2lzce0Tr6QmZQuZ3/H1lrbXWWutZ1zNdnIVhyC/9/H2OvvglqltVhk+foiZUkmaSfDlP7vXPMXn7F0maybiDkM6leemNK/iez2Qi+EvptPCBLS1bmMvnS+yFzfYL19GLRWH6TuokUzrXb9TY2K1iTYSx3XM9FpZDJm9iWR7e0ub9D86pbFSwLRs9qVPbaVCql3Btl0l/wmBgiS6RLvxbgR+IUWhKA1klnU/jOR720uHKC1e49eZzZItZqtsN0ZV7/JDQdVhOpmxu5sjkM8wnc6a9AQk9waQ35O/9/FOwRvH4Mp0T23tqRixLaIbGsDfF7rbpX/QFmDSMcGwHMye2TB98dErrtEcURjx3ZxvLEhDQTD5DY6dBfbvOo3sX6Ibwmm1tF9l/bpfjJxcxKqK512DYHaEbOlZ/EI/PWk9PBDYiqXNw/5TDxxeiA1nNMXn6SHQ7A4/50wds7tX59HdcAWDQHdPYyDNqCy+ZqqpUt6q0T7qUG2WqzSJJM0kmn4lHybPRDCNl8Pf+yV1SmRT9sw6+H1LbLPPwoyPSaYE3Wc6XPP/GTYyMSWO7ysZenWojz/2PTvE9n43dKmbWFOw3RSKbS5I0k0iyhK4neO5qKYbI7l2pMO6PxTakoQlfGKLQcoZDDj8+EFDaVTE8+fj92GvHqtN2+tW36T05oPfeV8AwcRYO7mIZ+9Fmo5kYh2oKs4nFZz9zLd6UVROqwLeMurz/8+9CGDBtd+PfgWI5E/8OXQJotXKNjZ0qN2430QyNfDFNGIbi/Jq7NJtZ6tt1FEXgQ/Skjp7SOXhwynxiie3gTArP8TCzJqcPj8jlU8zOTsmXsnTOeoRhyJXn95AVsVQQ+98Ume5pl5svXUHTNaajKbvXN7CmFkZGfFgqbzUYnHe/xe8ya6211lrPnp7phQC1vB9V/uh/BohRWG2jxMVxF9/zYyN10kyy+PCLVD/7Bxh1R6sRXIS32rQzTANVVchkdDqtsfAmRRGj7oiXXt/j7tdO0VMCQuu5HplCJibxT3ojcpVC7LcpVAqYmSTtlW+puVvHMBIcP7kQF8V8GhDdgktTted6bOzWGPVneK7H0lpSrBWRJIn+0RnpapliJcd8thQIhaklDNgr1pTv+SzGEyrbzRjJoBnCf+XNZhQ2G7iOS6Ve4OygjWEavPzqDh+8fxpfIPNlAdzVDE0gJ6YWnuuRzgtzt5k1GXVHYjzo+dSbeUajJe2TNrIsU6wVyeaSHD48I5PPCAN5EGAPBmw+dw3HFgy14dEpajZHsVZk0BqQK+coFNNMxgsG7YHwYSX1uOsorWDApqlhGAl63RlBIJAThVKG06ctSo2SQGc0C1iWy2wsxp+aobG3X+LtX7lPbachxnaX501CZXu3yOnJiEw2yXQili2MpM5kOKW+UcIwVB5+dML157fp9+eiiEin4g3ZxXzBxnaFi9M+qYxgcM0nc4q1IqapY1liy1HgLLJkswanR11RpM4Em06SpPh8G/fHyIpMuV6i3x4gywLqWyjnaJ928WYzSjsbwltmGniOx3d/5gqf/5l7ZAoZXNuNAcmlWoHlwmHYGVKoFmLD/SXPbWktuXm7wXC4pHMxYj6ZE0UR9e06W1s5JhOb8Xgp2Hd+QKmaxTASnJ8MUBKK6OIixuWe65HJZ+JR8SXTTFFkZmPBdStWCwy7I+yFTSotummqpmKmk7RPxe9rNGxz47Nvcvjogp2rDQb9Gc5CfFCYj8XxOUuHykaF47/+h9YLAWuttda3tZ7p4kwp7kWl/9lfZvbkPkpth8pGhflkznw4AUlCSwqDsZ7U6f7yv0C++iobew0BSo0iXNultlWj3+rz3Eu7HB308F0fVRPxSJcXdFVTsS2bMBTss8sL0ujkjGyzgb0QsVGVRpHTpxeUG2UkSaJ7fE6+XiGVTuKtwKM7eyW+9tUnFCoCDRCGYYyouIxZMlIGS2spmF3TGYmU4GyZGYH6uOwsaIaG53jIimCtNbYqMS/sskizxjOwLcxaXVw8P8HJ8q0Fld0NUThd9DAyprggex7Fepnh6QVIMqgqhAGNK9sEfsCwOyTwAwrVgjDOr8bE8WasruFYC0GWV+SYQ7Z/vUm3I5Y3ht1hzJTzXR/f93nh1St89PZjVF2LL/jtB49RcwXy5fwqjilB56xH0kwy7Q1Qk8m4kFlO51S3G/EW5Wwkupuu7aImvh52kdAFMiIMQ8btHqqRFJFOq6L3stBOaCrWbIFmaHSfHFHY2hCLDbZNqphHVmRyxSznD48w8mI0HgYh1Y0yjUaG+3fPmbdaEPhc+9RLnB524vvIq+7TpfevUCnEz0k6n2Y+meNcnLDzxqv0WsM4kmkxX8THebk4UKgUsGYWqiogr9P+iPJmjflkjud45Mo5hsdnGMUi1WYJ2/ZYzBbMhxPMQlYQ+QfTGFzs2mJpJKElmI6mZAvZeFt1cN4llROvzWK2iDd0Lz+wbF9tYlkO45X/0xqNee71Gxw96SArIgYqmU6KRZiVL9FZOqQyKeaTudgOdX381gHa5tVvgN1ebkUf/bU/uC7O1lprrW9rPdNjzSgUF7nM1VvkyjkBZV066OkU+D7pfFrQ/7sj5KuvEj55F98PSaVTOAuH6PwR7SeC4fXBW/dRFCUGy47vf4gzFxyuSwDrJWbjMpMwt9kUY5cVrLZ9KnxA9sLGsR2KzdrK7DxjZ7fIqNXlycN2PIY0sya6obOx12D3+ga+tSChJ0ASBYRu6GBbeFPRSbrz0qbI1ZSl2OBfrBVjxEW/M44vbl6vhed4PPfqVcx6HcM0xIak7cYQVTWVYjqcMnx6QGmjSiqTorZVhWmfbD6FnEyhplIkDB3UBKoqigPfWlCoFhje/ZrozlQKWFMLRRVJApVmCRQFWZYxksYK+VHl4JHwkLWORIzQy69siwxSRWQonp+OSBey8YV7OV9S2t9FTaiM+2OcpcPZg6OYLydrOvlyHnc2Z2ktUXXRlZqNZyzny/h52b+1RSqTIghERujtF7dImgbpbAo1Kfx9siyTSqeYj6Yx/ysIQqbDqVgG2dvG93xuvLCDkkyyd02gHeYTCyUpRuY7V4TPzvMC3v7iQ1GwZgto5RphGLF7tUEURuRKOYrVApVmhc9+7ia5Uo5sXmwhOkth/JckieTmLscPT7AXNs1twRnbvS7Ogea24PZdbms6p09FTJcfgOfEGaWKKsamUtLEtmwcR+BNojAikRRss9jztlqI0JM6s9GM3kUPI2nEv2+ariEnRDE17o9BIu5kaoZGcPghvbZgA2YKq3SFXJaTwx6e68UFsqqqTIfTONMznU+TzoqfP5PPiFHw5lUSeiLO/oyiCMKQzmnnW/sms9Zaa631DOqZ7pxp1auR8h3/PkbGjC9qqUyKzZ0y3c40HpUVVlBa3w9p/cI/AzOPVN8nlU4JptjBMWomR7aYFQiDuTCf+74fU91lWRaf+AHr5BCpUEMzNJrbVc6POiTTSdJZk1FvjGZoouu2IsZ7owGZjQ3CULDTEnqC7tMTqvvbmGmd06ctcRG1nZgZ9tyLm3zt7UMRieP6FKoFeh+8S/b683EH4jKncDFbUNsoMRrMmAwmMYPrMhLKXthEnSOo7qy4WgKNEIURZs4kmdRYLl0SCZX5xMJe2uLivYpS+mSCgjOeoGWzIrA6FHFI3YePyO/uCiTFwkFJKJTrJTzXj0n2pUqGk4M22YJAklwS/i/5dJddIc3QmA6nSJJEqV4CxBbl5c+h6RqpTEokN0ws4fdKCs/Y5PSUG596kYcfHpHKpHjptV0+fF8AXZ2lw2IuRpMJPcHg/j0w0hCFVK9diSGz84kAyS4efUDplU/F8UFE4IxHGMViHOIehiH2fCG6ixDniya0BIvzE5p3XmAxX6Im1LibeQmaHT49oHrjOpOBQLxc5oMuLXH/0ek5RlHkdjpLUVQXqgUR/XXcorKKj7IXNtVmkcXCxZpYgrLfH1Oo5GmfdNi9vsHBx0eouk5CT1DfLNM67cUjxsVsgZkTOZm9i55gug3bYBYgobF/a4uDr7xPsrnFstuBVJZ8RXQNL48rCqO4wHUdl/lwgpExY0P/Yr6gUCkAkM4m4w8x1tQSjyXL8ZJKbauG67iMe4Jj53s+LGdUr11haS0plLM8+is/vO6crbXWWt/WeqY7Z2EYgi+yMhNagp1rTbKFDKdHvdhsfeN2kzCM6LUGIr/PzIM1ptKskMoIEjyeuIjIiri4fN/33UbVVFLplNiQ0zUBfZ1YIsA7lY9N1+er7E3bshl2R4AAzEqyJMZD6RQowpxtZswYJ6DncsiKzMVxF0mWRJxTo0xxu4mzdDg+HiPJEna3TUJfdQ48J2ZSBX4QU+izxSzWXGyURkEQ35bOpeOulNq8Aq4rsidXsULJdBJratFvCzaavXSwphbObE5CT1CsCAL/JWvN6fcwCnmRmBBB4AfMxjPMxoZYYFhxqJzhkGF3xLA7jIPQh4M5QBxTFATBNzC21IQYXXmORyotDOJLa0mxmKLWLIpYIkWgIJbWklQ6hZ7Suf7cFvPekMZmEXpHPP74BD0lAurfeesJmq7ROxPdFt9xyRUFFoXFGBwLDPG6L2YL+hd9XNsVUUyyyIxM59IoikKlWUJKmjGM1cyK4kNLGsLsHwk22mXKBFmBVilVsjhLB9/1SWgJZqMZnuNBwqDf6seFmaqpTAYTwRILQ9I1gdG4dbtOuVaIx7Ou47J/c4ut7TxGSuRn+n4ozm0JkUhRyZPPi3zX+dxB1XX8meDM9dojdq7UkSRxfl4WtwL02hDn67RLYaMGgcd4aIEksRyJ5+yyizkdTnFtFyNlxB07NaGyd7UGK7/g5e9CbavGdDQlVzCZDAUjMJlOkimI4HPXdqk382SLWfotMZbPFrPx/0v7uzi2w9JaYs3tb/n7zFprrbXWs6ZnujhLpTRSJXHhNrMmR4/OBfl/NZ4sNUocHvTxXFGQDDtDpPo+1e/6A3R/5V8w7o+5ebNKZnuX6WjKci42G3/6n32Aa7ukc2lG3RGFaoF0Lk1loyKKHV2Pu2pAnD7gLB3S+TT2dMb2fp3aloCvFnc2IYJhZ0jvvId99JAoipgOBWhzY7eGJElMBhOiMMJzPIrFFOlcGrVQpr5ZZtwfk3/xdeaTuSgKVsVVtpBBUWSG3SGL2QJW3cPFbEEqlWD3Sk10BIOA8k6T+nY9Lqoucykd24kTCJDALOTJ5DOcPj1n90pNmMkBNbfqGilirGiYBsuJyP9UEyqBJ8LN1YwYMWfymfgifdnZtGZWvPFpTUWxay9sNE0wwy67gpfeL9v2OD1o09ypYuZMZqMZCS0RZ34ePGpx49XrnB52Kbz+3ZQbZXLFHGpCFZFT8wV6KolhGpi5DL4f4lsLzJuvoNe3qG7X0XWV+kaRMAzjYtHYv021nmN6cszSWjIdCT/UJQHfWTpxkbaYL0hl0wSOWBopVosrs7zP07uHYgPYWsbG+8APSFfL5Eo5qs0SpUaJYrWIM5/Tb4sPEfZqc/je3Rb9zojGZpnlfImR1Om2Rjy632I+EVu/vh/GxRISXBy1ePrgXBz3UKQ7JMtlCpWCGLNPBe+usVMTUNcIUpkUvfMe1nhK7pXPMLr7HopuCMZbKstzb94kuXtDLLUsLd74zuvs39gQjLiVX6970uL4oIeZy8QswXQ+TfukTUJLcHHSZTaeoeki//Sy05Yrpun35nEXtdEU3eDLDu+wM+Q73twjnUuj6dq3/o1mrbXWWusZ0zNdnFlzm3w5h+/55ItpgThQFWZjMd7b2spTLGXi8Qutx3GI9WWSwK/87Efxv7s0Kv+BH7lD2D1h1BuRNJN0TjokU2IL7VOfvYmiKGTyGYykRhRF5IrZOD4nldIwC3kWC1f4htICl/H8S1v4C0F7r77yemyM3r62wfHjc8FzOntC4AfceeMqR0/a9M+7+I7L6UELQMBaVUVs6634WIPOkKUlugmKqnDl1jbz8Rz7wbucPGlx+LhNY0MUl9PhFF0XqA4zK7pA88lchJy7PvPxnHw5j2M7zEYzCAI+fu8AgI29OsV6kdpmmYOPj2Jwaa5WjkdUzf0NzJwZA3lno1nM0Los0nLFHDvXNsS41/XQDA1N1zh+fC6KllW4+mK2oL5ZxvdF4T2bCkiqJEsi/zQMGbQHSJLE2VEPx3b41Os7IjWhLzqj9sImW8iyfaUuuleez6A9INeoCChtPk33rEsURTx65x6KKjYRPddDN3RODjqohQqaodHYLAp462Ai8BWGRm2rJgq5Fdk+XRLFTzaXjMeeciJBQk/EmaQA12+LzMgwDJlNxch83B9jFvP4rv9175orjPvL+ZLhYIZhGnTPezEXLPAD8uU8YRgSnd4naSZFZzciRsroSZ10TiRSDDvDOA1hOpzSaw0Es68zZNAa4DsO6WIORVFQmlcxTIN8OU9ps87JYS9mlpX3d3jnrSc8/vhEIDlWrwtn95hP5rEfr1ApfGNUWEls6l7qMrlh0BmLzNDZAmfp8OTBOc5C4GyskUjz+OJbB4z74zgxYq211lrr21nPdHEmyTKTVSB067SHqgnD8daV5gp4esLpCh9R26pBeSf2jX3qM9dh9w4cfRBDOz3X48VXtvn8T3+IVNkioSXEJ/tyjslwzrAz5J23nsRjsOloTm2zQve8F3O8xsM5mqFx9tEDNE2hsSXicB496JBIm4LCftKOsydP7h1ipAxK5TRXP/dZgiCg1ZqyOLhPpphDSxpIkiR8WattzsAPKNcLRI4Tm7MvwbTd1ojKRoXU7dfJV/IAPLl/JiKJZIlhbyK6bwsbRVFW4dZL8uUcmUKGXD4loqtGY7LlgthclSX67RGj7oj2aQ9kBWsmTOSTFfC1slFhMhAk/fbjI6IoIl/J8/IbV7DHoispujw+R+/fI1fKkkwn2b/eiHM7PceLY35kWaZzPqB1IlAL496YH/3+G7GJfNQdkSuKjEbfFwHgP/P5u5iZJEbKYNQbISsy09GUxx8dQiQI/5e8u71rzbi4q9czYKTIl/Pxc1yuCZ9ippDBmc0pFJIx3qPcLBOuzOmXkVGXRVqlUWQ+F6kL496YcqNMpbYqeMczwS87GaEndfGBIYJ0Wo8zRCsbFQ4fXVDdrNDcqeJMZ4S2TSYrXpdSvYSiKMxH07gzZk0sUjdf4eZzzZiV5tiOoOlH4rks1UvCtL+KxEpoCdSEGKVWNgSQNpkVRVwmlxJjxTBiOV8SBiH5UlZkzM4siqU0nushyzJHj85RVIXhaRu2nsNIGXTa03hkupgt4rxUdTW2DoOQycFTdEOPEwPy5TyarqGoCql0CjO/gs16Tlys47pxdNRaa6211reznuniTFEUrHORn6jpAhERRRHdiwFmzqRQKbB9pY6qKvRbfar7m/QPjuk9eMDX3juhWC9T+cwP0vvC5/Fdn8ZGkcPDEZl8hmKtiGEabOzWqdTyAPiuHxd3YRgShiGeF+BfHPDpz1yjeWNPmLl7I7RimenYon02QFEVrKklxnWaiqprKIpCtZ5Hz2bIFDKcHfVonw9QFHFRN3ZvkEwncfsdMWpzfaypxXQgEAXTscXu8/txhySVTokLvuPGHQkQHStvbmFbtvCgyTI7+zWK1QLOfI5hJEgXslwctbAXNsdPLpAVmesvXWM6mlLfqmIPBiwOH4jtx7QIus6X8yTNJIVqAVkW5vBSLQ+r/ZFw2MZIapydTck1KigJBc/1yBdMCrs7LC2BkTg96gtg7HQmsjcv+mQKGcEi26/FRbNmaPyjn/xa3PXTDNHJNFKieA28AL9/wag/IZNPiw5pGAnDvi2e+0t8hZ7UefDPfzoekb33lSfUtmoM2gKx4kxnPP3qBzS3K8L31qzx0fsnBEFAfbtG+8MPsS3RlUtlUriWxeRrbxH4ARfHIvPUczyqm1W6H9+l1x5T365T366TLWaxLZtBexAX/y/eKHPrhS0W4wmj3ojv+d5bTIZTHCcgV69w+42bwheoKswnc1zHZffmtjg/Th9jTWbUN0scHgg+GospvueTLWaFT2tqMWgP+Hf++Mukc2nyFVEs+p5P4IrzZTKYiMzV+ZLjX/5FXMeNn3dJlji9+4jOl38ZIjh4cCbyPhslgRMp5ahd2WLr2haKqsQd3kv6v25chto7TFodwjDkxmeEnz+dSwtA7anIIZUkiVFngKqquEsbNZ0lW8zy4mt73H7jJnpK/5a+x6y11lprPYt6poszAHNjm1FvJILEfYFK0JM6elIX3YP+jExG57mXdukenaNmcuR29wVRfzQVnqTbn8K592UefnRE96wrRi3nwrvWOunSuRCcqd0bm5ir4OXLT/C3blQoPv8S779/SjqtI8viYvXS6/ti0wzRudCTOrfu7BEGIcVqEd/3Y4DpfDyntlEUxzSc4g77YqsvjCjs7wNgmAYvvXGVYqPMtNXGmlrYtvC9hWHI0lri+8J0bls2s/GMGzerqJrKxo3duIthTS36vTnD7ohXv+s5WieCuJ5Ki63Al16/wp3X9um0RhQqBWRZori7RfWl12Kf2M61JvZCcN8W8wVhGKJqKr3WkDAMKe9ukt27ymQ4o3XUwncF8T5pJnHd4BsigxxbjNhy1VXg9kJ0SjRDY7Hw4m6P7/lcubkRxzhdBrpfXtC3rjQoXr8JgK4Lg/qbr22TqxS4+akXBatuOiNXyokR68aNmNOWSguqfSafER1Kw0AtVmifD7j1wpZAqawyIFVVJn/1uvA0VrOiENENbv7ojwqciKLQPzgmmE9RFIndN16Jt02tqYXruHz6O67EkUaSJPHVD1q8/5XHmIW86KwOFxTKOXoXPcxsiuODDoZpMBvNUBTR5W2f9fFdn+YbnyJh6PTaY3oXPSobFUhlURSFxUy8Nht7dVzL4q/9rS+TyqSwV4WxLMuUN2tig1VLxGT/xM4tVFV0oS8Lzauv3kbZvi1ioQoZjJTBdChYe/1Wn1LJ5PTRCWEYsrlTolQXvrtKsyJSJ7ImuYKJWS6hJ3V63WnsK5wMZyiqwsZegzAMqWzWCMOQ2k4D3xew6I8/OOH4aSc+rrXWWmutb2c908XZZTfEc7zYfHzJGVNVFSOpE4URndaYo4MexaYwxyf0BKm0GGOpCZW9602kK68QPX2PF1/bx1k6ZEp5pqOpgHyWBZzz6KvvEUWCQVZuCoP2+++fQiQyLadTmyAIqNTyPLzXimOjElpCjDqP+7gj0UkjDGOwbaaQod+ZUN+uY2ZNzEYDZ+Fw9VoZzxVjIGfp8PiBYJcVtzcp1Uv0W30xXpRlZmenOL1ObDj/nu+9xTtvPcW2bM4PL0jn0vFotHva5urNDd79wn2S6SSlqggG98ZD7n14yt2vHZPQEoxaXVonXYYXPaq1TAwNHQ3nFCs5yrUCuaIIxXYWDpXG14PEL8Gk+7e2vg7XNQ16LRHhlM6l6bf6FCoFPNdjOpoS+T75Sp7N3Rqz0YzOWY/pUIyt9643OXzciouTYrUosh1XAeSHHx8ID1YpS689JplO8tP/9H0AJhNbnCuaTiqlxUsFk8GExk6d6WjKzl5JpC3MFqRzaa7c3ESWZc7PJ2JDsTcmlUkxmy5iWKrrBjjDPtef32Y2c8SyiCyhF4vkNposFw6nT1uEYSg+CMwEQPa9989o7lRFgsBkTjIpwtkvR8X3PjghCKLYp3cJfA2evBtnu9pj4cWajmakc+K8z5fzzMYzys0yQRDE28K91pDm1W2BWJkvRYTSDZEoEUWC2aeoCtPRFN8XHygam0VkWSaTFxu/w8GMdF54x77zzd045mw+maOoCvc/OGTr+jalap6Twx5RBPPxnN4H75Iv51nOl1hzsW2sJ3WsqcVkMMEajPBcD8/xaJ2IrVrXcfE9n879h+RKwlNqZlY8N9v53XmzWWuttdZ6hvRMF2cJTRVdCddFN/Q4p8+ezui3+kxHM+yFLVAQro/ruHEHAwmW8yW3n28yHi+RJImX/o0/xtf+/j9kcvcdXMdla68uiqqDlvDDlBpxZNF0OBW+MdfHzCSZDCbUamkGZ21ap30K5QzdgxOGnSEgvtd0NEVO51BVmUwxR7Bc4rs+iiI6ay89V8PqtGOcw9tffMzVG3U2d8rUm4U4RWB4ckb7wWNR5K28VAQ+JDOEQQjAL//yIwEBTSfRDeHnmo1mcYTU6XGfxv4mAGcHLXLFHMii45Q0k1y/UaW6uwHAC29cp92axONM13bZ2c7TPu0xn4hoo6W1pHsxAKB90iZfyRMEAQef/2mSpgC95vKCp2WkRBeIYYveRS+ODlINnXwxTb8rfFDu+QH+KljcNEVnR0/pDNoD0XkLhSE+X8ryZ//0d6OoCp0zwepqH56jp5Lx8Rgpg+2rTS6Ou6QyYimk0ijROm6LiK+FgKReu72Js3Q4PeyKDcvxnPpmKWaVOUuHzb262E4872PW6hiGSrB63q/d2og/IIAg5ic0UXz51lwExh+fcvz4HN/3+d4feJ7Hd4+p1vNUmhXRTTq6T/ukDUDntEsmm2I5HLH5fT9C94OvceV6FT2bwZpZVBuCH3bpm7zzyja5fIpcMSewLauiMIrEgsElI+7uWx/HOI3pcIpjO1Q3qkRhJBAvpwPMrEn3TGSrXoaca4bGL33hCWEQsndzC3yPYrVA0kwyny7ot8USDQBhQGJD8Mk+9Z3X4i3cQXtAtVkWyJJpl3w5z9bVDdFRdkVxWKoVyO/ucufOJq7tMu6Pv46+WWuttdb6NtczXZz5fiAyK4s5scG32gAE0d3SDOEpiqIIVVMFHHS+4Ls/ex1rYvGZz1zly7/8gMVsQblR5vBJT4BJ7TnN7SqZjMbmbpVyU8QxJfQEmq4xu7iIY5OCIFgZ/ys8uHsKaoLrt5v0WiOMQh5FUSjXC6IjljUF8TwhaOz4zirCKSKZ0vjqe6eQyuCNhzhLhze/6zqHT3oM+hbHT9sx20zNZFFzhfhimSlkIF0A3xOPryfIFrPIihxztqzzE4rVPEZSB9emXM0JPtvKg+V7PtmGKDo8x+Ojr52ynIsIqYvzcYx36F30qDWL3P3oAtdxWUxmBH2RHWrPhfk7WlHjzYwJqsCMLOdLFgs3LmrVhCpYYJHwDg47Q3KlnACkWja9g2MIA4wVruTeh6eisJ6IqCjbslF1nd5pG8f2+BdfOmJ3XxRR1tRC0TSR3VnKEPk+LzzfoHM+oL5VwVk6JM0ky4UTLwGcHfXwPZ+jp524u3MJwe1ciNcjoSWIwojxcB6P0T3X4/23HuJ7YsT85MEFk+4Qp31KsZRm0J2QK+UYtAZgz6lvVQHYv7kFEXztwwsM0yAMIwpFU3gFA49oMRcxYLLE+VEbJJmFZYOW5MN3DnHGgk0XRWBmkkyHU8a9Ma3WjOPHF3H8VyafAQl65z00XYsJ+8liQXQgKzlxHuka2zuFFdoix9JaMu6PUTWVfCmDkRQ8M8/1Yj5dvzMGNUHruC26qnoiZvY5Swd8MXL2XZ8Hj3oYKT3O+JxNLPH7qSXjbpisyNQ3SyLZQBEbsb/yC/eIBhdxaoOiKt/Kt5i11lprrWdSz3RCgFraj2p//K9ippMMOiMWgyH5jbpgOZ2fU7m6j72wcW2XZDrJ+P6HqI19VE3FtV3C7glSZUsEcZ93yZTyuI5Lc7vK4T//Kdi9g24m8V1fwFhNg/lYhFt3TjvxmBBg0p+gaiqyLAs+Wk9s5F0GXZsZUyAeNioxxd9zPdJZk86pwDkErku2LIKqLzM0w0D4yS63+zRDi7cGrcGI5vUdUimNk6ct0jmRyVioFujcf4iaL7O5X2e5FNy0hx8dr4z8BpPhNPbo2QubF169wqOPzyjWioz7Y4G1yKXjPNFLIv/l/b/n+5/j537qK0hJk1K9xK1bNb7wC/e4/dIeZ8cDPNfDdcRYzbGdONB771qT08MuSCIAvlQvEQRBTLtPZYSRP5VOMhlORYbmULDUKs0Kw84Q35qTyGRiQK6zdIgiAYxdzBZM2130fE4UYNaSdE5gVgbtQcxHM7Om8O0tbHaubdI66QoI6kWfUqMUZ0WOu0MIA+r7WzhLJ17u+MHvu8VP/ZP34xzUUr3EqDuKC88oFNuqYRCCJEZ8kiwR+AHFapHJcILv+tS3awRBGGeMzifzeHM1W8oSBmH8mPbCxnM8EUafM2lslplOlwKOvMo3dTrnYOa4ducqT++fks6JBYrFbMFkOInjmTzHE3mdK64ckRgnGimDbDFL96yLJEmErhN3UOdjARKWFZn5YISiG7z66Wt88M4huXKO7t27lG/dFsiWpEgkSGgJOodnsJxz8ztf4ehJSxTWmsgHlWXxASdXzNE9634DdkRP6Uz6E5q7dba3c3z0tTNkRab9N/61dULAWmut9W2tZ7pzFnoeo+4IXVfF1p6RjKOG/sAf/Qy9p0cUylleen1PxCkVhMFYlmXKjTKJ5h5JMylGXFv1eJSZzxsxZsPptgk8j3K9EINBLwGaRsoQyQCtPoVqASNp4NpufGEPg5DJYIIzX4jFg6RONiuQF5ouDNnT0SzePqzuNNAMwU4jgkw+LYz3T99jORTpA5l8hiiK2NqroqZSKIrMk48OaGxX2btSptIss7NTQMmVSKaTnDy5YDaacXrUE0XrcMp4MGHe7dPcrogRlO/x4KMTDNOgc9phefxYICRW3aLZaEb34IxiNc9iKkCqb33pKURRjPBotecr352DmU2xtJZs7onndHu/jr10UBMq/d6MpbXEWTq8+No+g/Zg9XyIQjSTTWFNLWbj+cpTJUZumq6JZQ3TQE2LbcxiJYeZNph99JXYmB74AeiGKDZsl3w5DwgAcBRGFGtFnruzzfZOEU0Xhe6oP2X/xoZY8ugeMrjosZgt8FyP/ds7XH/pmuj8zQU2I6El+OLbJ3FoN5EYW9e3axQqYsQnycJPNhlMqNVzaIZGtiDiwayZGBFGUcRyYTMbzeKub7lZJp1LC+xHysBIiXPKXtixVy+ZFriQJ/eOGbQGWOMpSKJDrFWboCSYjJdx4Trqjag28ly5tU0mn2E2Esw0NaFi9Uds79fJlXNEjkN9s0wURmxf3SD0fdRkknFvLDyDq0I08AP0dBpJknjnS49wlg7d4xZysY6R1GhsV1laS1zbZTaaIWs6aqHCg69+LBYO9AS+tUBRRNRVsVpk2BliZs2442svbAH6lST67SFf/JkP4kiytdZaa61vdz3TxZmkqiiqwtmRWM9XFMHfKtXyvP3eKQCd8z53vya+1jPpOJKpd9GLUQaZbIrJQHQyzo+7zOcuupmEyi70jlASCcYDUURdvb1FrpAmGHZIJITPZ+/WjlhKWGl40cFfLlmOJgIamzFRVIXdq3UG/ZkYI/qC7SXL4kIUBqG4SIeh6Frl07RPOiLXsXYFs1zCSBlMhpOV9wZ8e8mwO0ZOJGif9jh40sNzfXo90eHKFjLUt2uU6wVSmRRmzoyhoDvPX8XzAkbnHdKlAs+/vBtnIZKtMh0Kw/klo6p+dZuFZSMpSnwBRRMdtVIlE3PbZhMLw1DZutKkcy48aGdH3TjiarYqRtO5NPc+OBFFtSyRuOSpdYRnyTDFRbjSKMVQVc3Qvg5gDQImozmz6QK2biPLgpWlaipEUKgWYn9hvSESAwrVAsVShuOjIQdPuoRhSLYglj26nYl4rlN5EoYeZ5pOJ0va50OqjTyBH8T8rqW1jAGwqUxKFBZZg2F3yLQvuqbVZolMIcPTB+cCVpwXqQ9bu1XSeVGAybKMNbVE3Jiq0D1pEwQiImoynJJO6/FCQBgI4/7SWorg+oTKrTu7sPJhJdNJEnoCwzRYzAXwOJURzLLW2YCTpy2cpYOREh3gKIqo7m3y+O4x8/GcVDGPbftsbuXotYbs3BBh7/mKWDS4jNxaTgXNPwiCGHSbKeWFh831aTYFmLbWLKInBUZDT+kkS6U4nguII9Nm4xmSLMWokEuo72UKQ66Uo9Co4s3Feb3WWmut9e2uZ7o4QxKbbFEkDMvN3Rpm1qR9Kkzh6XqNMAjRUzqqpsbh1/PxnOpmNY6IuSyyNvYESX4yEUZ9zBzKtdcIHr/DdDhlPplzetjl7KAF2TJnBxf4ns+wPxVm/1XwdXVng1ytDAkNd7EUXrMg5PG9UzJZYUZ3bZfeeQ8khDeqKrYWh+ei0Lyk9asJFTmdiy9KzsJhcN7l4UfH4LmxSVpNqJiZJNbMonsxXAWJLxl2RwRB9A1ZiIP2AGtuYy89MtUS5VqeB3fP4u6LaqZ4+Y0rLOaC2K4m1PjnN1JGjOSo7jTIlXIcP2kxm4rOznwyZ9ifMR1bLM+PsaczynUR+1TfrsVID8/1kGQJazJj1B0xG8+prrx9k24fVVXonnUZ9SdIsiRyVBEpDBu7dbKFDJP+hOlgim7oq1D5BN/16X0xwu6P40J3PLbJlUSk1GS8EJubq7Dt6Uhsg04HU/Gap8Qo0Vk4JHTRNcwVMxw+PCdbyMYh65cw18vHvfNCg8VC4EGMjHi9Z5NFvLUahRHHTy4Iw5An904FfFWWBdJCkePMU6JILEsgDPynB+24c7W5V6d33otH5IEf0O3OKDbKyLLMpNPHmort3UI5F3fcROSWEne/FFXEm81HUwrFFHgui57w3Om6wvGRWGKZz5Z86rO36B63Yl9irVkkUxKMu1JdFJ9mzoyLtWYzy5d/+QFAPJ7fvtrE6o/i0Hc9qaMkk/FrOu8N0XSNrd0ynuPFSyl6UqfSLDNoD5gOp+A7cZTYWmuttda3s57p4iyTFmPFUq2I9/BtTp6cY00sSvUSy/kSzxGh6LZlx9BQWRYFVBiEbF/bgAh67TGSJNG9GIiomYWDntTZvr4lOkl7L8Ph+zS3K+RKYgvOzJoxrd61hT9sMV9QrBUZdkVxZOZMclXhZ0uaScIgpFZLY1u2KL4qeXb3K2xt5Rn1RuLinxaU9nwlLzxGrkdjR2yN6inRRbny/B75Sp7S3jaz8YwXX9vHzJnousrmjgCn1rergjPVKNE+6eA5Hvlynude3ODWizsxG811XAbdSTwq29ypkNASPLzfQpKkb/A7XfLAJEkiWo2Huwdncbh5rpTDd/2vdxGNNHomTfu0S65g0j3vkTSTcSKALMskDJ3qZhXDNJgMZ+RLWbKVEr2LPrlSjhu3m+L1nFmk82lm3QGz6YLFfEmhWkBJKHE802Q45Ve+dBAz1S7HcIPOENPU8H1fjJmXjvDynR2xuS+C5vdubOD7PqWNKoFjkylkUBQFZ7Gkey7AuEnTgNWyoG6I12Jrp4yZM3n/g3Ns2+PGC7vkSjmBB1lhQHLlXDwidm2Xq7e32NpvCEN+MUm2mCVpJlFVlasv7FPfqpI0k2TyGZLpJGbO5PoLu7TP+hTrRb7rM1dRVEWE1Vs2zsKhuVsnlc+JJQygWEwiKzI/+H23GPfHyIpMY6fGsDsklUmJ0f5GlfOTPma5gF4sktATXBx38RyPxXyBbdkcHg5J5cQoNAojxiOL2Wgm8BZp0d1czBYixaKY48HdM37kR+5QqBa4OOlx9UaDw4enSLoeF1yL+YJgPmXQHogOrKLg+z7t1oRw1CVbyDCfzFe2gCmaron80b2d9ULAWmuttRbPeHE2mwmj/KAzpPwd3x8T23sXPbLFrIgjKmYEKywMxRgmnRT+M8C2PayZ4C0VK1nsixOsqYVjOximQb89iqn4V370x3j6T3+S525W0HThCwuDULCtJAlVU9m92iCRUMTYaDKPgbD5WgnP9ahv1/jqFx7gOw6+NWc2mvHkYYvT0zG50tfDuiVJ+nouZQTjgRiPLufi5x2PLGHWDkLUhMrjBy165z0OH57h++KYXFcwuxaWTdA5JlfOMeqNeOetJ9z/4Dgeo+5ebcRU98mTRzy5dxqPWq2phZEy6B2ektATNDfF1mmmkOHGS1cYdoY0r+9QqBZiI//O9U18T6QZqJksvutT26xw9PAMbynguMVaEWtisRiO0QyNcX9M97SL53qMehMBPh328FyPD985FN3PVfFilgQ6Igojnn+hiaZr9Lsiwsgaz0jnTCRZYntXFOiyLKMoCocPz6g2xHP7/EvbItC7UGMyFJmOluUiyzIvvSg8W5djPDMvEhxm4xnziYDMDtt9giDg+TubPLx7wv7VKpPBBNuy6bTGzMdzZEXmxgs7jLojrInF9lURrbR/Y4Oz4x7TyYIoEiyzS9DrpDdkNrMZ9sax37BSE1mXj770LsvJlHzB5Od+7h6aoaEkFOF5k6BSEUWZ67hkChk++OoTPMfjZ3/hIflyXuRSDmc0tmsxnHY2mpFKp+LCUDdEATUdjMmX8+xfF8s1RsogoSdYzBZs74hzwFksmYzmjPtj3vjUFQqVPI3NItlilo8f9+M4qw/+wT8SHrogIJdPoRsiHSO3KV67+XiOWcjiOR6D9oDSjRsEqyWY5WjC5m6FQkUsC8xGM65cq/6uvd+stdZaaz0reqaLsyiMWMwXqKoaf9q/9OZc+rc2NrIx0dxZfh1gOWgPuHpVjINy5RyuG9C4c0eESIcR8/EcZ+lQLJlIksRi4fH9/86f4mf/m78db2gm9ISg5B/cR1EUjp+2sWaCmXa5+r9/o8n4iWCOzSeW6MTJCrsvXBURUEHI/n4J3/XxfV8Q94OQxXBMJp/BsRY4C4dJf8JyviRbSK8yKGWBo1g9D3pSRzM0nn75PfzxEGtqxcsOyZ1rgk12tYkkS+zf3CSTE36ffm9GvpgmDEKufMfrYuNv6bB3rUnoOly5XkPP53AGfQ4etVjMF0yHU6bTFY7CspkOp3SfHOHYDueHbZzFEu/0EdWNCrIii4DtlI6RMdENneV8KSKazBTXbjZwTp9S36nHxP/FdE7xyj5EYOZMEVlku8zGwq92uZ34Kz//cQxCrWxUIAxon3TY2qvxwT/+/5LKpGJ8Sn27Rr8zFhDYLz+hUC2QL+eZHh+SK+UYdke4tstXvnIYe+J8z4+/LxH4vghON1ZE/S/9nX+IJEmcHA9F3uUnkgBS6RTLpUfkiQWRs0PBr2tfjNjYLjP4+KMY3SGyPusomhZz6tJpHU3XePzufWbjGYlynasvXqV9JvJArYlFc7uKc/yAMAi5/9EphmmI0boiU92qki2K6KPLxAUjZdC96KMmVAI/EEDiL/8isiKzc6UWL7IkMybT4ZRH984YtAfMxjPUhEoqk+K9n/w8ruOSLYmCL51L8/57J8zGc86OBROt1xrFj7/9AyI5wUinsG0PSRK/N87SwZkIdt7mToVys0wmn4lH6GbGZPv2HgcPz7GXLrfu7JHQErz31uNv8bvMWmuttdazp2capaEU96L0D/2HBH6AZmg0tyucHrRxZ3PQNHRDZ2O3yqA3jSGawaAFqTySLrxDl4UWiIuGLMvMLi6o37yGvbDJFdKcHbRixpmsyIy/+gvs/8gf5vyoK3hYVcHnKlQKsQ+pd96jtlXFmi24c2eTjz66IJU2sGZL6s0893/lHfAc9I099KTO0hLdvISWoNIoMh0LzEO+LGCu494YdzbHyItAamexJFcuMOmPUDWNbFEY2y+XHIDYY5RKG5y99UXI1UBWSaRFYdbcrnJ60CJXyjGfzJEkiaSZJF9MM5suRVh5EFCsFljMxabcbDzDGo7FCC1rMhlMcE8ecucP/gCHT7osZgvq21U8T1zoC4UUo9GCzuNDdl64zqA7RpblODhbkiU2dyp028JbNrh3F1I5kGRYTkltChq9M5+jGkmUhELgBTR3ayLH8vQRz//ID9DtznBtl0zOZNgbo6pigWBnt8jp6Rh7YTM5b6HnBcsrspdo2Szu0qaw6mx6jkdzp8qwN2Vy9x1qb36GztEFpY0qvuszGYpiorpRYdAeUqoXaTazvPvWIzRDI5VOMTo6Jt1sYk0tgfDQBTx3OV/it48o3n6R4ekFWlYUTuPeWJzLqoKiKiwuTiEMIJVHy6RpbFc5vvuE/EadxWxBvixG4F73nER1g6u3NhmPbfqtPt5kTLbZYNobICU0KhsCPWJmRGB5QkugJ3V29so8uneOmTXxPZ+ltSSTz8S+REmWiJbC22VWK/ieL1AXH32AvrGLmTEZ9UQGraqpDI9OxVKCniKZTrK1V+PsSATWl+olcjmDw8cXBH7A9pUG/Y54HsMwFDFdswWlap4wjAjDiPnEYjFf0Nyp0W+PsD56i+Rzb/LCyzscHgw4/S9/bI3SWGuttb6t9cwXZ9r3/EVwXdRUCn+xQMukkWSJarPMsDvGmszIVUQ4dxgKlEQqncL3fTL5TDzicW2XcrPMdDjFc8QYVJZlgmEHsmXMrBmb8uubJQ7+2U/B9vPImi7o757P3tUqD+6e8qM/9Dw//TP3cW0XfzJEzRUp1ooiHmi+YHO3xsVJj3QuTRAElCsZjp600A2dwBebepqh8X3fuc9P/fOPBHg2IdhsekqPPV2uZZGrlcnm0wy7Y6IoYnu/Rut8yHK+JKEl4uLgsmC7HMUmtITIRxwJT89l8RmGIYvZgkqjiG17dM+6bOw1GfcnZItZ2idtals1FEWme96LkRuBH6AoosDQDI10xmA+E9uZhWoh7kB96jPXefxkQL/VF8XdySmJQol0Li2ihxplFEUgRmRFZjKYUKqXGPfGlJtlrKmAl16ytJJmMk6BuPTITVd8tMV8QdJM4ns+z7+0zccfnLK9X+XkQGxqeo6HqomNX1VVsZfCv5Wv5ONtRuEHM+icdgkcm41rO8zGc2bjWXxcL7y6x70PTwSTLIzIFDJx9mh9s8Lp0wuu3NpCliUef3wSbzACAs2hi7irjd067TOxRRxFEdZ4xvOvXeP4oIssy5SqWQa9KZPeiK1rW0xHczRDY9AW3bTN/QazicB9XDLLLhl5gMgg3Snx0Zc+hoRGMmOiJlRmwwnlDbEgc/P5De5/dEYYhvH56Pt+PH4tVApimWA8ZzFfsH9zi3LZ5OxsEneGl9YyRmlki1kmnT7FjRop00BVZXpt4a+cjqYoioiNyhVzWDMLf7mkvNXAcz3RXVs6vP6dN3j8sIOzdEjn05z8F394XZyttdZa39Z6pseakiyRLWQhEJt/WiaNO+yLMeBQrOcXG2UmvRGjkzMAQSWXIFvIkkzpooDRhMF/2B7G5P9cKUdlo8LWK3eQZElAVW2XKIo4P+rC9vNwcpe9G5vCb7SwuTgXcNn/6SffJ1PIsLFXJ7u5yeZ+nX6rH2cY9jpjEXd0IoCcvi8KQWfp4Ps+miHyH3/uCwcQQaVZZjGesL/Ke7yEh6ZLBdJZMy7MfM8Xo9WJRSqTEqHqq+xDz3ZiREFts8Ibn9pnNp6xf2NTbB6et5iOpjHBv3PWZ9gZIkkSw67YtHOWDpWNitjcnFpkChkxYpxYaLpGvpyjXMvRP+9y9NET+q0+znhEIqEw7o/Rkzoff9xi2BmK7T/XJ1mtxdu2/mRE96zLdDSLL+4JLUGlmqWyUWHQGtDcKqOqKi+9fgVrOKZ/eBJvv456I8IwRJIlkukklWaZ2Vg81jtfeiTgqXM3TgjQV9mr1vnZahyosH1tA8/xKDVKMezXdTyC448pNKqYphbDcj3H4zOfu0mvZ4lkBdfDdxw2torxY58fiegow1B5+L4YyS1nluiSzRY4wz75UpZPf9cNjj+4jzMcxsHu+D6Lhbs6BpejR+eiKE0lOf34MdbUonfeQ1EF3mRhOWiGtkqdCOMR6eVr5Hs+g8ECdIPaToPldI7v+dR3m4z7YxbzBY/ut1ATarxFamZN6psV8buja8wnc7oHZ+KDiu8xHlo8fdLDmoqEgEF7wJ07m0RhRKVZEZFhpQK5vMnCsuleiE1QxxYFvbN0UFWVSX8k4LOplDgfW704FuqrX3jA6KzFa2/skc0mfxfeadZaa621ni0908VZGITkSxn0gghp1pM6qVqdbDHL5k459o7lKgWyzQbzsYhl8hyPyWBC+7RLJm+SyqR49bUdzJwZowZkRV4VIYuYMJ9Miw04Pakja3q8JGCkDCrNMuO+2PoMlwvG/TGO4yPJEu2zPo2degzWdG2XbCFLY1+Y59tnA5aPP0RNqGQL2diEPZ/McWyH8WCCZpocPDzD93ySZlLwv4DeykN0/XYz3qpEEhiG3lmHYq2IZmgUaiWsqSW6eX7Iu+8cU9usYFkuG7tVzEoFSZJIZYRB3JnOyBbFCFWWZVRNxZqJUVcqk+Kz37EvDPeK2Eqd9keMBxPODjskMyY/9EfeFEHulQpnBwIhUSjnmI1m1DYrLGYLXnpth0qjSLFa5OqtTarXr4gupuOSNJPkSjnB/upMxHNiGkwmS9SEwoOPz2EVZWWkDBzbwXdcPMfDmS9oH7eJIsiX82SLorjTkzrT0ZwgCOKty2KtSPHqFdEh8nxG/SmSLFGppEnn0+SLJoP2gO3PfR/2wubJvZO46FlaS9764mNmY4tas0hCS4CicPedx3iux43ntzBSBrlSjvsfHmMW8yTTSXKVAmpCxTANrr72PLOxxa/89PtohRJqRgBri7Uiqpni4MEpzlJAeI2UwXMv74tt14JYjMhX8jS2q4xOz5kMJiwt8Zpcbhy7tou8ikKaj+eMemNqWzUmgwnPvXaNXEmY7TP5DLfu7NHYLGEvbBRFFI+SLNE+7QHwp//oy+JnDEVG5v7z+/Hms+/5DDtDCtUCv/Rzd0nn0gzaA/JlsXU8n9mi2F3x4zzHQ9M1Ks2SiIiqFkXUFLCzVyJdKTIbzzFMkeZQ2tmg1Znz5OPjb+VbzFprrbXWM6lnujgDOHn3A3Jlsel4CejUDI3BQMBoLw3R9kIAVs+POkRRREJPUGmWaZ926bz3Nh9+dIGiKBSreTZ2xEbYYjonX0wjK3LMzLKe3KNUzZEv5zl6dI555zNYH3yB3kU/HguiJuIxZKGUwW6f49gi+zOVTsVw2lFvhJk12blSY+u7PkemkKFUTpPNm8wuLkjn04JXNlvg2i6KqvDcnW2CIIgXD5JpwYs6OR7GvDNJktjYrlDeqJJKCXJ+Qk+wud8QeI2KWHI4e3qBNVtw8qS1AsEm8F2fUXdEYaPG8MlTXnrzKlZ/wPCdL5A0k/TOe4z7Y37m5+5TqOTJlXLohk62XCAMQiRJYjmz+Om/+f8RHrAVkqLcKDMdz1ETKr3WgPp2nXt3W2J0etrm6YNzlvMl1c0q6ZygzztLB0VRqDeE+dxzPExTw3N9fM8nUy2hGzqjrui6IIvN2edfvw6Bh6oKwOuk1Yt5Y5IsiXzU0YydKzVa9x6iG3ocAZUvZZm3Whw+aa+2ckW39eSRABmrCRV/sSCVTuH2OwL3MJxw8MWviA5ZyiBh6KiqyqOPz5g/uce4PxYLBav8zcVswejgAHthc3rYJldMU9ndwJ3N40xYSZJobNfEUkTWJF/KUKjk6XZn+I4bR2+N3/llLo47JEslAdGNYDaesXdzi+lIjHdrmxVKtQK5ci4e4fuuz8lhj/av/Ay5Uo7ADzg57HJ+LJIkmltFoigSo9+Eij0a81//9X/M9PAJGCk816NzIRZP1IQKEgJQO19SbpRBgte/8zrT4ZRsMSs8n1HEYiaQK7OR2IZdLkRH13M9AQzeqnJxPo2Lw+HTgxhDc3HaB8/9XXy3WWuttdZ6NvRMe87SWzej2r/+n9M57YpP5MsljSvbtI5alJsCaJnJm5wdXIg3+FVOpG3ZMYJAN3Q+/ZlrvP/+KXpSZzKY0NiqcPq0JcCwjhf7slRNRVGUOPfSXthUmmV6F33c+1+BxnXS9RrKitsU+EF8we5f9Ck3yzhLh0wuxdlBi0whQzprYq8yGyf9ifApbVWZTSw810M3BEDXmljsXq1xdjKIQZ2XXb5xfxyPMQ0jwXy2XHmh9nl8/4JURsQpWf0RuXqFSX9EZVMAYXd2Cnz0/jGe45HQEyiqIiJ+xjPB+Vr5fOaTOS+/vs+9j87F+OqiR7YkqPlIUG0UGQ0E/6q+UWLQmzI6PQcjBfaCq6/c4vRAbHIW6+X4op7Qhb9q0htR3qjy6de2+PzP3CMIAjGuK2QBmAwm8ZZhqV5k0B7GMNV8KcegI8LJ69t1hp0h9a0K50dt/OWS6y9d4/hpi8APqDQrcSFgL2w0XaO5UyWfNzg7HdM7PEXPie6Vs3RwlzbYFnqxjOu4FCoF8kWT48cXlBolFjMBmm3u1Bh0x4RByOZulfb5ENd2xTEHgRjhppMkzSSD9oBMIUOhlOHo0RmpdIpcKUsYRvQv+vGCiCRJGKaB53i8/h1XeXC/w+C8S7ZcQJKEL3ExX8TfRzM0Jr0RSiJBc7dOrzWg2ixxcSw2QvWkzrzTRc1kyRaycWRSKpMSBa4sxeHivu2QSBpk8hnMTBJVlcnnDY6PBri2y3L+9Q8HS2vJ9pUGZ4cdXNtl80qTfnsokgAkGF70QJLQU0mqG2Ws2ZKXX9rg/Q/O45F6ulZFTaiM2z1uv3aDKIo4eHQhxsUrq8Flzujs7/+ptedsrbXW+rbWM905C/yQfmtAtphFURRS+ZwwR8sSg/aA3SsVDCNBoVKg0hCU+vQqMkZWZMyMiTOZ8OjJgFpDLA3cfH6L1mkPVVNj432+nAcJNncq8QV672pVjITOhYGbxnVoPYpjeIoVsSSQyZk4S4fqZoUwDLlyrYquiyghI2Vw/vRM5F32xji2Q3WjQhhGLOdLVFWMEudjMYobjwW24sZzG5g5k9l4xvDkjEw+Qyaf4cb1Cp4XMjxtk6/kOTsdkcqkGPdE0aBlRGSQnkrSb/UZtAY8ftjBHo2pb9fQdMGg6rfEqNRZOmKJYbbASBp8+Zfuoyd1Xnqxyd6tHUCMTwHaZ30xFk2nOD1sA5Aslaht1aB/Qq89Fp0dWSaVFsiH2kaRbF5ERN1+5SrlSoaf/fkHmDmTnavNGNo6n8wp1Usi3DyfZjKY4swFXsPMmHirUa8sy1SrJoEfxAVJulSg0xrx0mt7+LZD6/ExiqqQL+fjrdHFwuX9Lz3AtV2SxYKAw1Zy1DYrmLkMDE7JV/LoSZ3h8Slnhx0CP0BVFTRdjCDbpz2svsg/7XVEkR2GIaqmYk9n+GePSKaTdM+7MUqi2xqSLWZxbAd76cSh50EQUKqX2L7aZDFbUNus8P7bRyiqQqFeJp0zKVWzOEuHQjlHKi2gstl8GjOfYXO/gev62L0u/bbYqjRShqDrD06pb1WxZsKXaC/sOC7KSBmU6iWSZhIttfJ2STCfLpiMLOZzl1F3JNIAFha+K0amsizTuRCFnpk16bUGMRZF0zVUXcdIi01Oa77EzCR5971TpoMp2XwaLZdHUcSHDMKIhx8dM+hbFKtFbMsmaYqiVlZkvNHgW/oes9Zaa631LOrZLs5WXpdRWwSPh2FIdaOMnhQblPc+OObJRweYmSSnTy9Wo0ThCys3y1QaBfIbdVzHYzwSkUIfvHUfZ+kgyzLzyZz5ZI41tShUCiwWIhdwMpjw4O4pYRiKsV5KJ12vod/+FM69LxNFEd2LPv7j9zh9eCTo8AkFa2rx0ftHtM4GVKpZxv0xuUpBjNMqebavbnBx1OL84IJsMSuM3asEgoSWoH3SQU2onBwPGZ620ZM66VqVazfrTAYT3nv7iO5Zl2ytzNVrVQYXPfotAQStNAQg9LKYSufSonA7PceslPBXG36+J7ZYLzcZN/cbSJKEvbTZvrbBZDDhnXdOOD1oxfyrT3/6CpVGkXF/TDKlxXFKRsqg8+Ax5q1XmbQ6FCs5dq9vMhuLZYLjxxecPD5HURQmExvb9lj2+3iORzqtsZwvsZdiJJ1KJcjkM/EWZb5ewTANiiWTYWfFdUsnOXzSxcwK76A3tyhVRdTQk8c9JFWlsFETMV4zEUSfzqVxlg6pXCZetFjMFwx7k/g8S958VQSPuz65jWaMX3EdTwB07z8knU+zcWOX2kaJ+XhOOpemVBf8OmZDEts3BKpjt4E9nsbJC67t4j/9gOV8SRRGJNNJfFfEYB1+LEZ6vdZAbKQaCUbnHTGq7kwEbNjxKVayJNNJzg4uKFbyHL/7AZ3DM9S8GE1OBhNkWWbvxiaJvecZ9SZxwoEkS4x7YzKFjPBTGpoINk/qeLaIS/I9n3Q2yWSyFMW9oVO/tkumKAC57ngkNpxXm8CarrF3YzMeZZo5k0w+w7jdw1k4bG6KwlIzNNqnAkdzmaWab1Yxsybdh48IgoBcKQcSXLlWxbVdajevfevfaNZaa621njH9loozSZKOJEn6SJKkr0mS9M7qtqIkST8jSdLj1f8Lq9slSZL+C0mSnkiS9KEkSa/8eo8f+IHoCKWSjFYQ0csLj5pQ+e7vuUVpo0r7pEu5UY5HP2EY0j06p9cSXqV+q49jOxSKacxCnpffvEY6lxZeHEewxvqtPqP+BM/1yJVy/OgPPc+oO6J/dMbwooeiKJhZk8Kb38voKz8PQPK5N0mkxEjR8wKIxDHPx3MsS3jQJj2xCTloDRj1p7GBfDaeYT14j8AP2LnWjJMINvfqWFOLfLNKppDB93zufu1YbL7ZIgdT3HYCnssf+bFXRCexM6Z/IQq1wA8EZ0yRKe/vsLVbZdQdoRv6yoxvsJjMBIphKQpDAWEN0ZM612/VUROqyJV0XN5++5iTR6dEUcTLt6uCnTVfUqpkqd+6ThiG5DfqTIZzjh6dsbSW9FeLDMV6cVVkePRaI+589g5hENK6mKJqKpWGCHyfTpZxRy+ZTsbxPmfHPZGqIIvNSs8VqQ+aoWGWC4yHMwbtAeOeGP3mCmbsQcwUMlhTK0ZweK6H1emSLWSZT+ZMhjNKta93QC/jn6IoorIhYq6u3t4mt7vL8KJHrWYyn9kk9ATzyVwUdL5P/tqN+Hs5tkuykIsDyBtbZczn3oiLZk1PoKd0FFUhkUrFHsLqZpWF5ZCplmidivPVczy6512CICRlCm7fqD+hcvMmRjYTb21GUYRmiIIuaYpwdD2pY6QMEXWVFp6u5XyJNRMojlwxg6ppGEmx4Xvy6JTeeY/6dp3p+19g2BkyG04E2iRfQDM0MnmTQnmV0tEW6Q9RKNAmkizxoz/2Oo7tcHAwjEfUYSDOqc7RBal0inQ2RTpnUr99U7w2q1Hr44dtMoXM16PB1lprrbW+jfXb0Tn7niiKXvqER+QvAD8XRdE14OdWfwb4YeDa6r8fB/6bX++BFVVB1VRK9RKKqrC53yCVSZEvZXBtl5/96Q9jvpkkSciKHEc3XX/pGoVKjtHRMZquceNWg157TKVR4NG9C0a9kYj4Qaz9Z/KC5+W5Hr3zHj/9M/fFBmA+h1nI4vs+ZkawtfTnPoXz8ZdjQ3Xk+1w8PSOdT/PmZ65jmAa91oBMPoNuJonCCDNrki0I03e2kCaVTpG/8yZhGHL06JzFbIHv+5wfCQK+vbDpX/QB8F2ffCXPlZubqJoad8j0fI4vvXsWxzHpSUGdz5VzMQ8s8AOOn7bJlXIUK8Lf1T3rkS7mGK58XJOh6NIMuyOcpcOjB23s4ZBxZ4Cma4JTVS5AGPKzv/hIGN8zgpB/+bwrqgiXL1REwLue1CnVi4y6giaf0FRkRebhx2dYkxlGMkG1WWY6mrOcTEloKvlKHiRYzpc0tmu4jis6O64g+XuuyA/153MGFz1u3BYRQYqqxL6vi+MuGztVEnqCzklHAFdXYdyX6Q2XpHxJljh5ci48WH4IrkuxVow9f9bU4sm9Eya9EXo6xWTisJyLoHvP8ajW83iOR6GUEVgSWcJzvHgMP+6NmU3tuANrTWYMOsM4nWD3WhPHFtu9l+ywS3CsJElYM9HRtZceJ49OyZVzwkTfGVLfFMT9+qbIg13MFgKHsirqemcdpsMpmiE6lJdLJ+O2iD67OGqLGK6ZRffonGKjDED78BzzxU+T0BOksoLTBzAfTpgMZ0xGc4adoVjM0bV4g7N7dM5b75zgOy698x6z7oCEnuDmizss50tyleLqA4aHY7soikylXsCaWmK7ujvEd8Xv2FprrbXWt7t+J8aaPwb87dXXfxv4I5+4/e9EQl8G8pIkNX7Ng5MlAj+g9eCJGIVcDND0BO2zHvbSFkXQeY/mbp3usRifIYGzdJhObYIgYuel25hZk/t3z9GTOkcfPYmDuQU2IGLSn+A6LmZWQDtrW2LEculnu4R1tk46OPffRpZljOc/jX33LQg8cpUi2ze2mY/nvPPW07hrcUlmd5c2mXya+dSiddxm0BmRziZjyvzl9p682kbsXIyw+704wimdTzPujTk/6eO7AmnQ3KnhTGai+JmN43zEIBBsKSNpoCZURq0uRspAN0TodeAHqJqIhdJ0jUJJROpEUcRzd7aRZIlrN+pISZN0MUelUaTcKFOqZlESCQI/IFvMsrSWTEczWh+LaKvB8blYpDC0ODS+fdIBWOE9AtK5NPZ4SrFexl56dM/7Ivonm8GaLuLQdddx44Lqyi2RkxlFEYEfMOqN2Lp9hXQhy3v/9JfY2y9RaZRo7jYExT+TYjoR6QeKqsRh7pdFfLpaxrFFzJeZSWGkDKIoYj6Zg6qSziZJaAmGnWEciXTZYWqfDciXc0yHUwrVApbloid1Dn/h5yk3yjS3q6QyKTonHWRFpr5VEfiLe19lMpigm0lR7K5Yc4/fuYemayLwfTRje69K+/A8LnI1XRNIiyslmvsbMUg5DEOO7ooA+POjNvPxnGQ6KZ63MBLPnZkUhWkoFn5ypRyFaoHtm7txh1IzNGRZJl+vYFtieUJLCW+f7/oEQcCP/4k38VwPI2OSK2ZEJ9vQqKyAwZcbpLlqmVF3RKaY4/t/8HlkwxBokvvnyIqM7/vxuNn3fM4/fojvC1ZbdaPMtRf3sWZWDIJea6211vp21m+1OIuAz0uS9K4kST++uq0WRVFr9XUbqK2+3gBOP/Fvz1a3/aoKVkR2s1rFWToiePq0S66Uw0gawuCdTmIYCfL1SuzhyhaytI/bjPtjFEWKCfdBECAZwvOjG4IRpWXSEAaoCZXlfMnWbgVrtsCfDBn1pyytJdm8uIg3tmuweQvf87EtOwbVuo7LZCiI6oEfMDk+xvd8oihiaS2p7TTw/UCgGxxHgHETSuxJ8hyPVCZFaNvkSmIkVtrfxZ8JJMd8ImCi9sIW24vlPP3OCDSNG89voxVK+J7PfIWymHdFx02WZW68fI0wCBl0RiTTSbKFLLlSjude3BT+q1UguKIovPtz7xL4AUeHA2pbNTa2y5w8OY/BvPXtmsjrPOtw9eaGSCXQUjS3SmTrVaypxXQ45Q/94O04QzQ6/IBys8xkMGFnJ0/tikBAzMazbyiI969VRfJALi38cikxMtN18Tylc2le+/RVojBiayuHLMukdq7y8QentE462AtnZZo3Y3p+ppDBsR1efGWb+WTOdDBlPpnzqe+4SuQ4XByIn+0Swkr7Kf32KObgFYqmeM5W0Vlm1owp+dmswfnBBWEQkr71soD5rmLEtq9tEPgB48FMPO7OC2SLWcr1UszBq22UMVcbjMv5ktB1OD3qgazguWKD+HLT9fR0Qjotztf5eM7u9U3SlSKvvr6LpmtkS1mmwymqKrZjF6eHONaSebdPrpQjoYvIr/lkjuP45Mt5zKxJuSGWA8b3P8QwDVxHdA7thY2qqURhxH/9t75IuVEWebBzMdJVFIVBZ8jGXh1Jkhj1xCbozRd3CcOQD+91yRazcYTT7PgQTRdFu3V+gqZrvPp9r+K6fsymG/RnmBkTWZZ+i29Ja6211lq/9/VbLc4+E0XRK4iR5f9GkqTPfvIvI/Ex+Df0UViSpB+XJOkdSZLeiZwZhAHJdJJpq02hWgCJFUVdJ/R9ssUsx08uSK14YN5owOSiRbEu4pQOH57FRnjbskmlU2zs1bFmFsFqG620UWXSHZJMJ7n/S1/hzp1NEclUEcbmo3c+ENDY6YJUPofv+RAG5Kplki98B8uPvoSsCEP2zrUmiWKFMAhjvtRkMGHcH+PaLtX9TVzH5endQ5aTKe5sju841JsF8Gx0I0G+kiedSZKu12I6f7aYZXNPgG4vuwvVjSqd9hRFVQTGIZ1kOV+y9+I1gdNoljg77rG0ljS2ygR+wN7VCp3jFvfvXpBMJ5mNZ+hJHavd4rXvfw1/JvIX+xd9zk/65Mt5UqbghGmaAJKmizk+fvshmq6RKuZpnQ9pbIpt2TAM+Xt/9wtIkkShWiD36nfFXZmH99tsbuZI5wRbrtwoI0kSpWqeR/cvyGSTwg9VSAvm1Uq2ZeN7Pm/9zAeUGyUe3G8zPToQ5npPXODT2SST/ojOeR97YWONp4wPD3HGE54+FbBURVWQZZlf/Me/gp7LYOYyJM0k07Eg+lMQG6SSLHH9+R0ev3s/RrIsraVYiEgncZYOjz8+RjPESLW5VY67hsv5UnR8HZvpaMrmXo1Ks4Isy1wctXj9O65Sqpfot0fCExaGFGtFqjsbRFHE7Zf3kSSJSr0AEfQPjnFWnUfHdmhslWmd9jBSBm9/5YBqs4hru4RhyHwyF+iQl18CSSbXrNF9/22iMKJYzopOrKowOj3HWTpcPDxka7cMBdHAzuQztD+6K0LNZZl8JU+xXmTQHsTetk8G1PfbIzKFTBxo/uT+GZ/+9BVm4xnj03My+QypTIriteti8zZnsv3Ki0xHUw6fiqSPWUskLCznSzHidYPf0hvSWmuttdbvB/22cc4kSfoJYA78L4HPRVHUWo0tfzGKohuSJP0/Vl//vdX9H17e71d7TKW4F6V+4CfIlrKkTIPRasPOXtiUGiUGrYHIP+yPyZVy7OwWeXhP0OqJ4PmXtnj0oIM1tYQfa3XxNLMCx7CYL2ICetJM4rlenDmoJlT6LUH+d2yXcW9MdbNCIqHgeQEXT8/YvrHNZDhHVmRGX/l5tFtvxmMea2axud9k1Jvw4ivbfO2dI3KlXGzYX8wXEBFDUxfzRYyquMzJvAwPN7Mmo67AZmQKmRj8OeqOqDTLTEeCPwbEDC49qTMbzXjlzX0e3GuLC64ix1uauqEz6o1Ep8SyBXJivmBzv0kQCPO87/kxvFVRFdK5NGEQ0js4xqxWsCZiK/MSEHzjZpX7H7dJ6AlGXYGdyBQy+K4fZ0DaCzve+EuaYrRrddr8kX/zu/mVrxyLbNRVdNIl/T6dT5PJphh0xyxmCxFltNrGdJYO7nRKdV90xzIFMXobtAfUt2sM2gIB4Toi1gmEl7G2UWbUn7KYLyjWihCB67hxzFaulGXcF3Fdw+6QN77zOl/94iOxOGEv0UyTQrXAbJURenlOzUYzkukknuPxPd99nS999TjekhwPJiznS/IVwY/7JM6kWC0wG8/Jl7KcH7bIl/PMJ/MYsnzpb0zoCaypxa07e7TOR/ieHy+JWFPR1VMUJV4eyeQz9Ft98Tzm0mi6xrg/jsfE1Y0KvYu+WMoYTkECI2WIpZLZDLNSiplrKdOgddwRI91VGkV1s8qoNxKj8VB0im/d2aV1MY6XMeyFDUCxKjZ+L5UpZL4+kl3ldKoJlaO/9gfXnLO11lrr21q/6c6ZJEmmJEmZy6+BHwTuAj8F/KnV3f4U8JOrr38K+JOrrc1PAZNfqzADQWuXZInAC2ifdL/h4to9OqdQLWAvbNJ5YbB+55fvEoah4JstHb7ycx8yn8zxXI+t3QqeIwqQxXwRRzFt71XxXIFMyOTTgqeWNvA90ZUbdIZMh1PKzTK+H9DvjJgMptR2mww6Y6ajKYVSGu3Wm7j3v4LVagkQbT7DqC+23T549xhnKbAFk8FE0PEns3hE5CwdsgVxYao28rEX6JI6n9AS4Lksuh08x2M5HDHqjnj5jX265z1SmRRXbzaRJInz/x97fxrjSqLl+WE/kkFGMIL7ziRzz7vf2l4tb5/u1+rX09Pds9kYf5DtacgYWIBhA9InjS0Ylg1pNPYXw7IHsLXYgGRjRrI9mqXV093T3dPvve631Xar6tZdc8/kvgaDQTKCQdIfDjOq28YsGMnzrqZ4gIeql3VvrszkyXP+5/e76DAdT8lk5XPy5HFdGsLFgtVyJevTxZJwRPFXoTfXjcFgkGg0TOPkUpoMI8p0YLJ3VPZXat1GF8Iq3tzj9mt7WF05Khi0BzQa4rk8OMgQS8VwZy7uzMXsm/6UKKLKxxbRItgjm93DIundHX7n955hxDRef3sfa2CJkzGi+FT6Yd+SiVJFppI3K79YKgZK2G/+JtaE0WBErpxjvgbDOlPH53LFkjFmls2gO2I0GGHEDSbWBCOmslqJ8zIQDNC6ahNLxUimotx+sMMPf+8zXn97Hz2uE8sKJLZ1fMHUnhIKhUil5CJSj+v8me/cxkgYNPsTkmkDd+ZSP28QCoWIGtKITNZXkzdfX3s0YWpPaV61KVTlMRmOhLGG8nWIp+KE1TCFcoZMMcPTD1/4SrPh6YkI2VNxXzB/A5K1hrJaPbwjkzlnJqqoZDbJG+/I4+fGkBGNSd7uptmLF/Nk8ilyRWkm6+fCt7tpthbDLtms7h9rZAoynRyNZMXsWGNmlk15t0ymkMF1XB68te+/rZvDknwpjWuNCQaDDDqDf94fSZva1KY29S9N/ddZaxaBPwwEAp8APwX+q9Vq9VvAXwe+GwgEXgK/uP7/AL8JnALHwH8E/E/+aW9gsVjwl/7CW6i66uMmIlqE2w+2MdIplsulgDdZ+/qyEqImIH9XMXTJLUVVjp9eM6rVCAZF+ZOv5KnuFWg1TSp7Jd75xm3q5w1fnTQZT/zpkaZrOFOHnZ20TJNmDkdHkvMKhUIidFbDUDyE1glhNSyTjJOnqLrwpvZuV1DCCsFgkP51E0XXCQQCJDIJtnYLfk6qftlluVhid3vsHJUFphoKQvsUmsdM7Snpqlyt/uR7T4glY7ROrjh90WTS68vVYuuS4WBCNBaV9WJOJk2u4/pYiVAoQDwVlyvUpEGhWiAYDPLy45cY6ZRkrAxZWz779Iy5O/eJ/gFFkazUdI4SjQo24fIJV6dNYskYn350Sb/RheYxC29BrpwjrIYx4gZ2tyf5JWuC3ahxdd4hkZLc2fVpg8FgSjwdx0gYLBdL+hdidlisOW23b+V8OKusEIMoqkoyE0ePRQW6Ol/Qvm6zVUkyHo4B0AyNdD4tEytVZXsvJw0wiKPVmjF35qi6SraQYjFo02/1OXteIxpVSBWzPHu8Drevm93i0S6pXEoMD7ZL//lTAoEA/++/94h2rc31tcnZ8ytGvSEre+Q3k+NmC2/uEQwF/Tyb53l4fZGcBwIBrOOnEEAmqTOX9nUbezBi0LMolpLQeMlkPCGR1MFzZVIWkQzjcrEkt5XzG/GIFqHbGWMNLN+IMewMuTjvrxEZccrVLEbC4OBORaalU4HYdho9RqY0knpcRzM0EuvpJPaAZ59eoIQVFEVBVRX0mPwda2iRLOagJ77YREqE59eXfUKhEPlSmlIly3Kx5PzFNQFVxZk5vjFiU5va1Ka+zPVK65uU3MEq/HP/NuXdMr1mDyWsCIA2E+PqtMGt+9v0ekLYn4wnxFNxyaf1R8zOn1P4yru0L5soaoRMISNoDiVIOBykftnxGUyr1UpyTY4DwRD33txnPl/SaUlObDow2bm/j6oqNK57jNfCZjWqYl5cEM7kiaiiAwqrYaaf/ZDYW98mHAkzaLTZu7/PagVja8ruXoZGY0yn1iG6biYAKntFrk+b7N+pUL/souoq/Ytrkltl5u7cb45mvR633rmP43iYgzGeK6wrkKtINaoSjUXpt/o+rLd5KUDbG1n2wlv4k62wGpaJYqsJYY3UVkEmSQmZ+DhTx4eyrlYrgfQ2OxCJUKgW8FyPsBpmZs98aG2mmGE6nuI6LtP+gPLtfb85DEfC/ro0W8oS1SMsFkuGvRFzd055O0/zukuulEFVFbotE9uyfS1XNBalVMlQv+wST8dpX7d9IG5EjRAIBvzJ2v5Bjg9/+IJkNoke12m8OKN0a89f6xkJg1w+wXQ6x+xbjGo11GxOrg+zSdoXNXLbZebOnNlkRjKXZGbPUMIKW9U0F6dt/+L2Bs9xE6Qf9UeCNFnK+tDzPLEN5JM4jnz8N2vNsBoWU0Alizmw/WmxElHo1drEsyJUb182SWSlWb95zCYyCTrXLfREzJ+a/Zlfus+PP64zGliMO32yO2WUsOJ/D91k72LJGN1Gl/lYuHrWwEKP61jdPoGw2CQS2YQ/Ab1ZO/ZbfVmD9oawXKCnkv7Hs1wuSRfS/19TQdtfaSfSCR8fcrPiL1QLMk2eycTt+m/8hc1ac1Ob2tSXul5pQ0A4rBA1ojSeHRMICk9rNplRO29hJAzq130m1oTVaiU8qMmM9sklq+WKyPYtuvUugVAIVtCutWmc1Rj2Rpw9vyaWjMm1WkwmPwB4c/buVHn6gw+oX3aEE6VGyFRLXJ826PfGVHfzbB/JkWkgECBWqcoTkCUEe4DYW99m/PEPGJtjDl87ZDScMOxbjM0xzx7XJKMTEfhoOBImHAlTO29RPShxddbC82Qil9mtslwumYwn6HFd9D47VdqNIZcva7CCUjXLtH7FtNNmMZeclhZVKW4Xma8J95quyZRo7q7REApzV/7sjYf0jZ//CulKkWFXNEzWwOLobplUPoU7lEvPkBJC1VX0TIrDeztsb6eEr6YqjE3JDqULaQadgbg7lRDBqE4iofpN6GggBweL88+wRzbDnsX1U5GE6zGddr1PtpjB85Y0r3uY19eC11g3nq7j0m0L9LRb7wpLThNA66hWwxpYJNJx+ldNPv3wjLAaRokoaJpCqlLCGlrky1kca8zCW3D2oiZE+5lDMJaUlbgtK8ZUKe9bJIykQfu6zajTo39xxeMffExICckar9UlEAwwGU+wTZk4pfKiLFp4C7b3C6yWK9K5BBfPLiT8PnXoPH3K0Z0i9shmOhpz/uyS2WTGoD3A7A4Ym2P27u0Kx86eoUTkF4BhrYk9silWcwRDQapHVSZDk8l4gqZr/O4fvKRT77JarUiW8z7vjhUUtsQXavVNGi8v2D4ooWdSPgTZmTpUbu2ymtq88e4B4+GYcaOBO5X3K5nUfJF5ppSDQNBfhTpTh9e+ssd4OKbX7Pl5uBsR/cITzEtICflN+tLzaD55hqIEcSby3za1qU1t6ster3RzNnc9cqUMt999QK6UJaJGWC7EaRhSQpjXdcaDEYGAUMazpSyFgx3ShTRKWPyWiUyC/TsVCUqHw1jtHitbpjRTW3JW1sAimUsSSSS4PmvC3CGWjLHyJBMzGU/84PvZyzrNqzZ6TPfD3PF0nOrBFsvlkun5c2m47r7H/NlPaV73/GzZDbcsGJTJhx7XyRRSgOiWcjnDv8TsnJwzHUuOSgkrmOfn2C8fs1ws2drOoMd1zE6f4cCGWBrcKe9++x7eZELt40e0rlp+U3Yz2Tl844hY0iCRSVDcypDMJX2OWqMxWvskFWa2BNBPX7Yks2R1ZdW1XJFK6QCcPL3k6WfXqFGVdr3HovZS1oPDMc5E6PjjF58R0SLkcrqvTqLfkM/H3mvYn/8UZ+Zw+OZttg/KDBprwf3acJDMJsBs+R+DkZRVpzW0CEfCvPneIbOpTNMIgJJMky6kcZ051bt76DGdOw93BFWxXMm1pRHFMm2CEVUybFs5PvzxF5mtREonWylgNVuMh2NCoRCFagHd0Ng5qhCMqKS2KxjlMrPJjHQ+jZZKsPAWrC4eU6jm6Ta6hCNhsnmxBjz7+Bh35tJrD2G1xPz0J0zGE259421OXrSFih8MEYlqTM0RW3tlaLzEmThymWloa1m5HBOkKiW8bpNea8iwO+T6+JqQqpHMJPwJlJEwyORTTMdTvv6t28IXG48w+2Pe/vptslt5FENnsVihGRpRXcNYe2kbF00S5RJnp3Ktm9yuEolqbO2VcN2FD8rtX1wRUBRC4RCJTILyXplmc0ypmqV6sEUsGaP52WPhpBmaD9/1XI/RQAC5e3d3YNjk6qSG560RNZva1KY29SWvV3qtqRZvrbb/h/8BiYRKtzOW8LUik7CbJyBrYPn6GlVTSaYN6hdyPLBzq8LlkzPUhJz0L5dLPNfDm3vkyllGA0smSgHYO8hz/Lwhzd9iSSwV8xEORsIgaojEPJlPCzF+HdKe2lMW3oJQSNyaqq7iWDIxa173sD/5Q9T7XxPS+goIyMrM7JoQAG86RY3HyBYz9Jp97r2+jesuOXleQ4tqmJ0++/f3qJ2vga7NK5JHtwkEAkK9NyK0GwN/RXn/tSqff3IlT4LrwPV4KFeMalRFi0Zo17oUKjm6zT6JdIL2RQ0jnfJD+qlcyr+qtEe2rOYWCzLFDMFgkF5T0BQ3X4/xYMTWQQWzN0KNqv4adDaZYSQMAoEAzfM6iWyKWNLAtibs7OV4+ukFqqZS2MpQv2jLVWNUZe7OefjGNk8f13EdF1VTMTt9guEwAFt7Ja5fXHD42iEXx3U/GG8NLEq7JQn1BwIsl0vf8Wh2Tcp7ZayhRWUnx8vPL2VqqijSKKgRAJx+F4Ihth/cYrTmxmlRldZ1G1aytvyLv/o6g7HD7/z2ZwSDQYrbBYY9029gi9sFZlPh2U3HU+KpGNZwzKg3JF2U6+JULoWmazQ++QRjZx9Wsja+eZwEggGqe0X6Xcu/InZnck1a2s5jjSb0L+to6ZRvZSiWEnz+0Snpgsjdg8EAZm/Ewze3efakwXQ8ZWu3QOOqQzgSZtzpkyjmiKdidOpy0amEFcbDMWE1zMO39hgMply8rKHHRTU1s2f+xWjUiJLKJZmsvaGqrkoWDchkY3TbcnRxIzU3eyZ7t6sM+2Om4ym7R2Wuz+V7NZaMSc7TmTP7L//KZq25qU1t6ktdr/TkbLVaUTurc/z0moPDLHNHAvqjwYhZqyFogUiYyl6RiTVBj2lcnTRYLpfs3alydVInmk6SzH3hOkxmE6QLaVpX7T+hPVIUwSG88fYealQll49TqmZRwgqlrZQ82WqqNGBrJVO31iaWjAHw+ld20OM6ekxn7/4+g96YWCrmy9JDoRCeI1ecs8mMu6/v4s0c4rkMRtzwnxwf/eg5py8Ebmr2TNEsdUeUtvOk8ilKb7yBbdo+N+30w899GG+2kOLTD8/9fNpyNmPcN9m7UyUYDDKxJkwnDpliBtf1mA1HtE8vwZ2xf0vk6gDtixoLbyF4kZn8eU3X6NXadF6ekNvK8dprch0aUkIoaoTJeOpT6s2eSb4gii1FCTHsSlOihBW5ShxPOX5WJ5aMoeoq9QuxGGi6xrAzxK5d88EPX7JYLPzJJd583SRHqZ01OHh4wMnTS2LJmM/JSmaTNM8FpWINLSaWHHXMnTms1niNirDfblalY1MOBm5QGEoyDUGFUCggX7O5R7fR8y8YZ+MJ/+AfveAf/s5jmSDNptSen2OvL0Q1Q2M2Fc3TarUiEAzQrnUIq2Ey5RzWwCJXzrFareg1e2Tu3PWBxcVKFmc8wRn0SWaTHD8+o7SV8mHFIE1b47ItrtdcFgBraGH2TJ59egGOrPmbp1fUn8ta96OfnGA2OgSCAa7PmoRCa7BvPsOo3mBs2uwcCuvsnXf3SOVFJq+qCv3OCD2m+xMvTdcYD8focX3dpE0YD8ei2jLttdYpzItPT+m3+uS38v73GMD1WZNhq4czmXL2osakP2Rrr8RbX9kmU8zIYc2mNrWpTX3J65VuzkQKXkXTNT788bFoXu6WiRpR9HKFqT1luVwy6ApmIRIJ+TmgVk0YaDsHAnItVbNMx1PmrkckEhKg5ponFgwGefzoAoAXz1pM7Snnxw3qlx3s54+wLMe/ossUM/6TVOWwCkgT+eiDc1lzZWOsVnItOnfmoopaN2gRPcpqteL2vS2efXqBFpfJ38307QbwmsqlJHwdEXm0qqmMR1Oq1STdepfybpFCtcDCW2CURFtkDSzGIwnh3xwFpLYKpEs5Oo0Bi8WCkCK+x+ZZDduUEHgwqhNJy5P8jX8ylk2ze1hE18Pkq0UGHcmcfe07D8kc7NFv9vnsszqLxYJf+PYRrATSegOUNRIGV+cditU8ihIklUtJyH2x8NEOUSNKPGmwVUkDEE8Z6Otc28G7r5PMJv1gfUiRRmRqT/nF79yhUC3Qqvc5ur/LVlWI9pqhYY9smWz2TEF2hILoMZ3ydo7CdknsBm0Tb43YKO8U/K+rM3XYv1MhokYIxwwWixXe3GPuzEnmkuJ9TBjE0rLCzFfyxJIxMltFCgdVkgXxiD58Y5uIKtonAFUTvt54OMaduZR2Cj6yIxgKilZqjeAYWzNuv3FIrFQU5EooxHQ6J6JF/PzWcrGkul9kbMp068azuvAWkoEsipi+sFth9+ER6WxcGGWZlD9hdGeieZpYE+6890A4ff0xt+5V+OmPTxmbYzL5BIEAJDPyy0REjXzxPbNWpCXTMTRD1qE3a39FUZiMpyTzad791h1pPJcrrIGAa9WoSqqYJZlLc3i3KqL3yxafflZntVoJNmZTm9rUpr7k9Uo3Z+FIGGskZ/zFaoGJPeP0pfghb67CipWswFpDQU4/PcGZOX62pfvJhywWMr04fXaFHtd5+40txtaUhesST8flCbvRxYgb/toR5El1uVhi3HmT+Xzh+zc1LSww2LUrc7lYokU1ktmkwGJ7Y8bWlNlkxtSeygrWnvgctKk9pdudUNkv4c5cto8qX7g110/Ws8lsnYfKi7R6PEHTVU5eCHvL85a03/+hXElOZuSKKZaekPLzW3I5evtOUXha4wnL5ZK7DyrcfbCFkTBIFjKAXHcuXeF6tduWBLeHsuqtX/e5Pm9RLCWYO3OsgcXTx3VYQbacJVdIsJgv+L3vvSSejpMrZWV1NZBV4K27ZezxlOnEZWsr7n9c8XRc+GrmmOZVG9t2CSkC9l0sliwWC1r1PpoumbBQKESmkJbryrjBybVJ67yOoigM+mNqlz2K1TzhSJhYKoZt2j7sNxQSIbqmCVD4BpKazMrVZeOyjTtZ89HGE9qNIXN3DoC9dnOm1lPXUFi0SsvFkmQmjtkzsYYC/7UGMqUD+OkfPpdGaS1B77cEgrt/W+wDnUYPayBXrQtvwag/8ieQ8YRGqzGQlbWmCmFfl0vOVedKVFPbedqNAbuHMulMp3VypSyarpEpZRgPhevXbXSpnTXxvKUvPZ9NZiy8Bal8CrPZIZVL0bjuEzVk8vji82siWoTKXgnHWfCTHzwnGg3zP/31r4vq6+KYaCyKERfQraIECa1X0TN7xq27a4PFcsXd+2Uuzgd+pvEGSxMIBBj1R2vfpkQIWMljMRJRuP/69s/iR82mNrWpTb1S9UpnzvTKnVXqz/77DJpdf+oUUSPYgyHJYg6z1oCgQkBVCQaD0qwMhmR2tnyEwWIhebBRfyRuv1YT9DiJdIKIFmG5XNKvtVBjMTLFjJ97CQQCeJ5HIp0gm4tx8uyaQiVP/byBpmuk8ykaF01WjkPhoOqvIYPBIA/e3OHZ4xpKWPERHzeeTefzH2O8+S129gscbqf4wY9OCUfC8uQc17g+bxFSJL8WUSN+dmo+maDGYoTVsE/GH/dNookYISUkq01DFFZKWDhkN9oqz/VwHZdQKMTOUZlee+SLqMORMMvFkrfeO6DZtJjNPKyhJdDYxVKeRF2hz1f2S8RiEUYjh/l8QafWYdFvUX79NayhxWq5wvM8eT8WS0adHgSC5LdLDDoDCfXHdabrgwNrYAk0eL1SLGxJ09htCerCcz1K23l67SFjc0wyK2wzPa77fLuIGsFIGhiGyht38zx62mZszfxpZCItkvYb+bthRMhmdT740TGBQMDPALavJPOWr+R96n8iHWc2dQiFQoQjCv32gOViSSAYwJk47N/dpt0QrMSf+toeH3zWFCRHq0t+r8JoMMIZTwgoCivPQ43p/tVkcbtA7fk5yXJePr9XZ+jVPSb1K8K5EolMArNrUtopMOiYfsbSiOvYa4DteDDCSMpkbNAewNwlt7vlU/g91yNTygg3bSDQ4+JWhk5ziDW0KFQK2JaN53rcf2OH89OuD8fV4zpTe0owFOT+6ztcnPWYjCc+FDiiRaTRy8Zp1bpyATub+yYK3VDpNPpMR2MCikJxu0j7ug1ArpzD8zzKWykuTiVe4MwcUrkUqVSUT/7Xv7jJnG1qU5v6Upfys34H/knlzuYEggFiGZmEzPp9kvs7cr3Y6qLEEsRS0pzM7BkEIFbI+bDNN947otEQ4CaTESQNwqkM82Gf1Tr7tfAWqHG5Zuw2BABbPSjTaw8xEoZojSYupe0Cy+VKMB1qhFAoSNSIEk4nsAbSzMRTcfrXTRqNsRwfzD2Z0kxm3L63Rbc7oR/+FvajP6Qb+yXicWkq5+5c0Aq1juSUAgES6QSjgeR99KjOYObIBE5L0Wv0KGwXZGpnaPTPr6g+uEUspnLy7JpgMCiOylwS27Q5uFvFtl2s4ZjlckUyE6NV6/L62/s8f1InmU1Sr4/otYbYnQ5ENFRNZWpPfUVPOhfn/NklmB3U8g6aIWLx4UTyb1PLJruVZ2bPMOI6oVBAEBQJQwT0Soh0Ns7Zpy/Rs9KEaYY0gNbAQtVVzp9fS7bLMlHiSRKZBNOJK01ALiVy77AiE8ZQEFVT/dXj2VUbc2jLKnmNbFAiCqvViuVCGlazbzEehXj+088pHO0z6EizNbNFB1YqJ2k2TJZLmeB16uL3XC6W3Hltl26jJ9iUqzNYrWjXDSJahF6jx/d+KGH+iTWhcFAlkzHEXpGM0Wv0SBWz6LEonXpX2HJzDy2V8H8JICkr1v1336R23hImWCaB2bf8x1Hv+AR2dhkNRqzmLnv396lftOXCd9RFyZb8NWm+kmfYGaIoCmbPRI2qjM0xtXPPb1oDwQB2o0Fsa4t6fUS+mORkvUa+AT5rusbx86Y0XHG51HWmjsCOXZmALm2L1kLsD1NbIMLDmcvUslENHU3X/Ani3J2jhEMkklHq1wPGvQHbd/ZwZhqtiwbePP+z+nGzqU1talOvTL3Sa82QEhKUQTlNKpfil//i1+mun9xCqoaRFFBqIBBgak/x5h4PXq+SLWW5/9YBL5/WaX/0vrgPy2WciahrlEQa13GZO3N5wllBtpQlHAmzmE4ZDW0/x7XwFlx++gzLtOk2euQreZyZg21NyZXS5IpJpiOB4N6Q/zu1DiC5M7Nrsn9U4rMPzwgGRReV/9Yv0fnD3+H5kwazyQx35nJ0p8TWXomDu9tEtAhKWOH2wz0B2Ta75KtF1Jgu16WjrqiWYlEy2ThoBqPBmEat71+flnYKTMdTKvsljp9c+uH0kTmhdtZEURQ++vFLMvkU9sjm+rSBPbLJ7m2D5zHqjyhWcoQjYXrNHvbYIVPKUXj4Gs5wgFlriHQ8lWTa7RKJav6kUtfDzOdLUvmUeDIbFyiKQv2yTfFol/uvb+M6rr9mjKfjOJZkqKoHJZR4UrAPPZNBZ0AwFMSdyfozlorhuR7OeMLuQZ5AIMDg4pJbD3f94HwgEKCyXxJdlaGyWCzot/viNLUmoEZRwiHm0xmlnSKjTg97ZNOoDf3r31ROrlfn0xmH97Z5+eRKVn67eQoPHxLIlESu3h2Sr+R9r2ZYDbO7m2Y8dpjaU+7eK5LKiyezflqjWM2zXC5JJKIUtrIMT08w4gaF7YIw6jRRVjkTR15nvU48HUeLquy8+QBvLjDbsK77uTjXccndvUs8HccaWuKKjYZJ5pK0n78gXZBcXywZQwkrHNytksrGJaeZyYnnNBqm0zJZWEPfoeq5ng/rja2NDTeZx2wxQygsTVz+cA8jYXB0t0wym/SbZtaaLtdx1wiYrK+q6rSGsvZXwrTrXcyeiRKJ0Ht5/LP8kbOpTW1qU69EvdJrzWBqZxX7M/+uT/IPhoKksglc18PsmeRKWWZTh95FDS2dQtUEdhoIBoR+XmsTzySJxuS68uhWjvf/6CVf/fZtPv34ingqRvOy5aMjXMf1ryl/7U8/4Pf+UMLRsVRMJjHKWjD97CNSb3wVe2SLxsgc+SvHQEBCa4FAAD2u02108WYOWlwayV/5lTdoD6c8f9LA/OAPyH/rl4ioYRoXTf/vbR+WUVWF6/MOsVSM1lWLeCouK0tFwWy0IBRCiUr+Z2pPSWQSdOtdAa7qmkBf10iG0naB+XxBMBjAHgmp353JRCqkyHFE9UCu9XqtoWh0Mgk/yF09KHF91kTTNaJGlHwhjqqGuDjvSR5qKU/g9sj2CfmT8YRkJklICTHoDMhXRJS+Wq1YLpcEg0GyxTT9tjxJ3364S7djyQVsOiGB90iYvVtbxGIRPn90QXmnwNia0m+JdsiZOBR3ij6I+OYq8NbdMicvWn4DWKjkaF13/CllNBZlYk3IV/L0W30xT2gq1tDys383+qh0LsGwL5PY/Vslald939WZyqfot/okMgkxTSzFXXnrTonHjy6IGlF29rJ8+sEJmq7xzlcP+OAnp760frlYki1nWXgLXn9Y5tPHDRbews/m9Vt9yjtF+u2hTP6ur8kd7qNqEQadocjJ1zm4TDHDYrEgokaYWBMxAYRD/qHJDU5EjaqouspiLm9H0zVmU8k4BgIByaF98BPI7cB4gJKRBvjmepcAVHfz1C67zOyZP2XT4zqZbIxmre9jWBx7iqoLmHnhLeSXKiVERI2IZB2IpWIkUgbTiUvnvEaylKf1H/+lzVpzU5va1Je6XunJWTCkMB/20QzNz0w1r9ryxFrOUnt5QSptECvkmI0szMsLAsEAs3bTz904U4f20+d4c4/PHl3x8Ct7PP6kxnKxpHXV9n+zv8mmDZoC3vx7/0AI9q7jMuwMpfGbSgMX3L7HsDv0VUgsZSq1Wq5ErD0RPpqiBPGmU+LZFDN7RmW/zA9+dMrL59I43EzQWldtab7GJgvXZTbzuD7vyCrXnpEpZEQWbUQxO3227uyjRKPcur/Nt76+TywVIxAIUKgWMOIGiXScVC6FNxrwtW/dZtgbMTbHTMZy3Tq1JK+FM0GNqiyHHS4/eUqvPfTF8TN7xuC6gZE0mExcCpU8iXSce3cLPPnwJR//wSOcicMbb+/5n8OwGiaRThBLxsiWshgJ3c9xOVMHAjINfePtPfS4juPMUaMSfL++6DDsDslVCv5V4XxsY9suTz69xO13ufjgkYTJg0Gc8YSjB7sMO0Os3lD8jekE+VKazx9dYLV70kDlUrSuO6TzaZLZJJouV52r9QoyvyVrtOpullgyRvWgzLx+hhIW/tmwJwcSk+PHDIczn92WLcuF69IUzIaE/IV8//TxtTDLvAUnL5pU9qXx/cE//JS5O2dmz/il7z4QRpwpwu9Hn8pjMpOLE0/HiUYjeI7L1fNzlkvJM+6/dZ9f/7V7dOpdAoEAxWqO4naRWCrGaCDryLk7J6yGcR2xP9gjm9lkRq/eIZFJEFJC9F++9A9f5u5c7AX5NNOBSeuqBZkKO7cq6OWKn3ss75aw222UsMLJ02um4ykAES1CsZJltVyRy+nEkjHuPNxZHyjkCAQD/OqfeUhxu8C005Z85DoL+eAtwdbcGCaIRMgWNm7NTW1qU5t6pZuz5UK4U9XdPPFUHNdxSaQTBINBXNcDb04kEiKTTxLWdVAigkkoltk+KKOsz/+Te3ssl0tBJjgL1KjkqRbHHzLrdphYE3KlLEpEQVFlDbZarsiVRQa9Wq1QIgqhUIjVcsX+naqv5lkulhCSaYA399C0L2J8/fYQNR4jHAmL83Mo06AbF2ZEDaPcfhfvxfuYnT5GsUSuWmRqTylsiQtUMySvE0vGiOoqyXwG15FpyfVFl9/+ncdYA4vRYES30WU2nTHsmnRPLzh65yGffVrDWou2NV2TJ8F+nepBme0Ht4Qkf3QLwprvPzQ7IlBnLitXe2QL0LQ/4uVJn2ylgJJIEk/Hefq4TjQWRY/pYmEIBbBHNmNzjK5LUD2TMfzJ0tZ2lo9/euorjCbjCWbflGMC12M2mYkrM6rxq3/xPbz5Aufp+xRuH0E84zc9RirB9XmLeDpOupSTy8h2n0HX4s13D9h9cEA4EqZ9LSy6QDDAsDtkcnEMiwWxtEwGV6sVyWySq/Muk/GEie2Quf86c2dOKBTyGWLRwweoakiyeOMpvUaP6XiKsVUlmRIDgtkf0W/1fZDxjf7LGtoEQ0GylQKpXAqA3/zNT0gX0iQzki10JmKbmE7njPojRkMbJRIhYhh+I9Su9/kP/5+P1hm0BO16j9FAcni5co6d3QwRNSLT3mRMcmGOy+HdKoWdEv3La+KpGEZlh6gRxZkIiy2symMyt7tFRIuQKeepn7ckb2lNcCdTas9OQY2SSMU4vFclrIZJ5VMEAgEaVx0m4wk/+p2PCYeDPPvsArMzwLZswpEw3/vROd1Gj9zhPgBjc4waVXnxpEb7us3VWYvpwMSIG9w/yv2L/SGzqU1talOvYL3SzRkLaUJefn7JcrFk97AkT6BjwRaoqTTdjqArVqsV4USSdCEtnK3TBgCJTAJWoOnaeoUn0E41qsLWXYxiSaYp1sRnUw07skaqvbxg7shkwTZtmV7FonTbJsFQ0BeI333riMlYZOGd5oDKXpG5K1OhbDGDNbTkunI4FjjsYsndh1UaF02MhAG7r8PFp8JiW18ZBgIwMS1fezQdT+m35YpxZ1e0VLPJjHgqDoAzcVitVmztFKjs5jGKBa5OmxhxHSWWwHM9wUn0myjlPczBmMZli4W3kCmjIq7Pd75xm7tvHYmzMl8kEAhgDy0aFy3UqEq30WWrIt7IYXfI7oFMxW5YW83Ltn/J5zgiRR8Op2hamNVqRf2qRyAQ8NeuNyvRQDDg+zt//tu3KJRT/Oj9S9q1NoH9NzB7JolsipAiqiACMOt2WHgLdvYEJVHZ30LVVRoNC3MwJqJFeOebd0ikDD9Un7x1j2Q+I5ej68bbHtmMugM/KzXoDPDmnqzRcymO7u+QzqdoNwZ4a6VXoZonnhY908mjFyQyCSbWhFQuxd5RiXgqzu7tqo/mePPtXeyRLfgNzyOVT9E8vWK+NlbcQG4TCVFuDVo9f+Vc3CnCcuHnE+OpON6af5dcc86aF03Ojjs4M4fbD3Z8zp6iRuj3bNyZS/5gl0RCFfVZzyRVyFDZLchqfjz1J5be3GNrr8h85lDeK1PYLaOmkoTCYSb2jE575Bsx8qUUD97Yke/Ph0eYgzGpXAojFSeZSQqUuGuyWMgvMmbXxEgYPj7mxrGpJuICzH3c/Bf/c2ZTm9rUpl6xeqWbs5AaZWkNKe0U8TwPTRMpcnW/RPu8hmNPJCMUDGLEDb7+rdt0PvmQ7oc/IpaMEVFFFD0ajNjaSuDNPWqXXZ8OH9INAD9nNLEmErC2BBh6+81bLJdLVF1l70hC0BNL5NY33KZhvc2zH33iHyWEI2GuT5tU9ooc3irQa0qmKRwJE9EixOOyVut0ZLVoXl9jpBIc/uqf5+S/+rts7wlE1LZdCIZ8+n86l5AVozXh6WfXAkfNJpmMJ5IFcias5i5nT85pXMtKL1vKEImEfEho1IgS3z9i4Uk26Y13DlCj6loOHqF3UeP9HzzlxeMLhp11MHy5JKwJ3d3smsRTcR5/dOoDQx9/dIqqiZB8OpZwvzuTFbTjzJlZtn+BGgwFyRZktfjwK/tENFEmpXNJ3JnrA0t/4//1R9QuOtiWTaaYwUgYKBGF0clzooaI6u2hxe33XsOduRw/axAIBmhdtbl3p0DtrMGw1sRqNPngB09orvNmkTUXbu7Oaf7kD5mMJ/7HocZ07O4Xsu7Kbp65M2c0GNGs9WlcNJmv17Cj/oh+e8CgMyCZTXLvvXvr4wvRQ12dd+hfXtO86jAdT7Etmw9+fEIik/A9ocvFkv0HBywWC9L5NPtHeTRd4/y4gR7X2b61TTKXJBgMomlh0qUci7mYHxLpGOOhTJ9aV2JXiKXEtrCzl6NZH9JvCuLDc+SQQtM1Rv0RrYbJ6OKMXCnDsDPk+NNjzJOXzCYz2k+fytSuO+DqRHRb0ajonECQIzeT1JAS4s6DCvXLDp3OhHAkTL9jsn+Yp3tRx5k6zCYzytt5NEOjslfCiEeJaBGiRlQYe0tBtYSUkFyOjmwMI/Iv+sfMpja1qU29cvVKN2fL5ZJIJsd7b5Rxpg5nJx2yxQyDroUajxHRo0zGEz8b9vFHlyRuP6T0tW/jzWVqEwwGWS0WXJz3/AZBCStEtAjZUhbPE4aXbcoKpnq4hZZKyATmWtAJr721x/Vlj/p5g2AoyPZhWS7mImEK+1W2X7+HHtOp7snF3f6dCs3rLp99fM6917eZjuQSMRwJc33eYrVaoaoyqULVicaiNGs97v6F/w7P/s7fplTNiUpp7vr5NXsskvaQEuLr3zgino4zd+f+FELP5chUikT0KO+9t8/BnQrWcEy73kfVVVE3jaeUq1nyW3kGnQG12sjHSYTVMNFMGi0mObFENuF7NdWoynIpwvnZZMad1/ZIF9JY9ToRNcJsMsNutX2XpTNzKFZzRKMRUsUs7sylXe8RNaKcv/8Ia2jx4kkNgF/67n2uj6/R4zoRTcLsmZ0q8XVubmYLZDcYDKJW9phNZvQvxXGqKEFfPP9r373HYrHg448uRaOVzRA04oQi8nWSta80X4vFgtJXv0Umn/Qhv+l8GiUW81EUL37/e9x6uIse0xl1JFcG0H/xQg4IoiqhUIjlckmvJ836dCImidVyRSSZolDJoeoqnj3xtUdTc+SvPa2RTKv6rT4vnzZYLBZkixm6L4/pt4e0r9tkSxnMwVgmjbbJbDLj6rjGpN3C8zxiqRhGTGPuzunUOrx4ci14mPXqPlcpYPZMmn/0++zf3kKPaehb25h9AeFWb++iV/eo7hcJpvKioIobbB9uMao3qF1IxtOxp0ztKWNTfnGZu3NaLWnSJvYMeyi5xuef19h7eEAwGOTwdpF+R17eafTptQa40xndRhfN0KjuFZmN5XghnorLaro3/ln+yNnUpja1qVeiXunmTAkrJDIJ/s7f/YjX397HbHWxhmNR26yvIcfnJ9JsqRH/cmxsjpnZM/+aLZFN0b+4JhwJY9YaTMYycbOGlrgxlwuq+0XCapjRYMxquRIB82TmB7znzpw33zsikUnQuOqwe1RGjaqYPRN3DXltN4cEQ0Hql11urmBdd4kWN4glY19MCQIBahdttg/LlPYrzF2B3p4fN9j75T/L+W/9fRbegnhB0APVPdH5WAMLp9Pk+3/wFGto+WT6QXsgK7qlvM2PPr7i/LhBWA0ztaf0m33fhRiNKhCQIHe1miSiRji6VyWZTTJ352zt5P3rxWAwSLqQFn1SwkDTNQLBAP2e8MSS1SqOLdPGoCGTOW/ukcgk6DT6tOs9n2M2m8wk75bMsZxJqL7f6vP3/89/CwJBn1Wnx3V54r9o+PL2kTkhmRHLQDAYJJJMcftuiZPnNQJBAax+8rLLwd1tHyIcVsMc3d8hmU2uuXQhXyyuhBX+1LvbBIMBEuk4ekyXPGNG2F/JbJKt977G2Qt5/amSNC1hNYxR3cXzPFRNJo56XKd92RQorDnGmTrY3Z58ntpDsoUUO/flsXt4p4wSjcqFaERh0B7QPb9m0a3jzByCwSC15+dkDg9k1RdVmYynzJ25PEYSGe68tksylySaL2ANLMxHP+LqpI5jT1nNpmQKGZngqmFWa9DwYrHg3q/9KrXLLooS9FfIR/e3GXRNssU0zese6UKand20SNGtKXpeALlvfvWI8n6F1WpFoVogFAqhRlV6zR5zd06v1ubNr98hXxGPZv2iTWk7z2cfnflA43AkzNydkynnfPCxOZxgpGTS6kwdjKRBr9b+Wf7I2dSmNrWpV6Je6eYsEAgI+XwFlxcDwrouWbGVAF5H/RHEM/5l3cJbyGTEW/gohHw5QzAUJJxIyhptufBf9+5hiUIxQTAcZtCX39jVqIozkQB2SAmRzMRRNbnKvDjv0bsUQ8DVWYtRrUYsFUPTxAfouR5Wq4OqqyTSCZx+n5PnNb9JFPG3TSwZQ4/pqKpc+WVyCQpluSZsXncJ332P+bOf+mT7y5MG82FfzAh7exhxQ/RSnnCoIlrEVzW50xnD7lCahDVFv7hdYNAZML08odudYA0s9JjO40cXBENBTp7V6DV7PHhzj05ziKZrPs1dUb5Y9wJs7xUYdgXj4MwcCARI5ZIsl0sm4wmJjEB5Q0qI6fW575AMR8I4U4dEOsHhG0cYMY1F6wIqd6gcbLF/IJd9N0qqeEYUS0pYwYhF6dSlEdDjOnpc5/hFG2fiiDXAntLr2cxmHjuHZTm4WMFwMGFsjunXW9x/fZvKXpH9O9v80i/c5Xf/8ITzF9eMRzYTS5p1RZHp2Ggwon7eEC/m+tDD7JlMx1OUiIIRN3wI67AzhOlYTA4Luaile+HbEppXHS4ffQ6LBZ9/fEa2lGUx7DIeyt/J7VWpvv2W31jTu2TUG6EZmnhBK2mUsEJ+K0/1YIvz4ya5gkz85jOH1FvfEOZd3PDl7q7jrq9jxS6x8BZcnLT8ad3cmTM2x7SbJs7UYbmUtfNqueLxx4IAuWH8HdytYpoOnXqHTCFN+7otl7TuHHcir0s1dC7P+/7XIxqL0rhso67X4TeGiuVi6R9MWPU61e0UzsRhbomR4c79LdKlzUHApja1qU292pyz5M4q/qv/ns8pu8l0eXMPdzggmssxNUck8lmcmSMssrBwtqKxqKzlHIe9hwfMZhKIv1k7udYYRdfxZlOYu2T3d3ySvDtzMdtdYlmBd97k2m4OCeLpON26gGA9yyRWKvoB952jMqePnpPZrYrmRo2sAZvyBHvz5Hn74R61C8FlhJQQE9OCYAjmLvGCHAZ4z99Hf/2bAL7myOyaZIoZht0hUSPKbDoTHlchLRL10ZhELk0iHaPXGjA1R+R3tlh4C/rNLl//zgOeP239CdaZElYEQdLrETTi/gXjarnCGlq+q3K69k0ul8LVal8LGoEVfpA8GApKE5ZJoIQVui9ektzdk6Y0FfOnJEf3tzl+coUSVsgUM/7V4Y3SKaJGuP/GDsfPm+RLaZ/+r4QFu5AupGkfn6Pncmi6xtSeki2mqZ83icaiaLrGxJqwXCwp7+SpX7QFG+F5aHGDiCr4j9lE1sU3r+PmSGBmz3zh+A2IdblY+p+33VsVhv0xY3OM57hE168zFA75PDE9rotjdSyTLCWsMLEkn3UDuh10BsynM9SYznKxZO7OiagR/23fTPxA/JOhsByUxFNxJuMJekyXVaPjwsQimi/477PXqaNX9+T7ZTSifHufxkWDTCHD2Bz7PDx3OEBJJDHihv/xRbQI004bvVBEjaoM2gP/Ytl1XO68tsfJs2sSmQSj/kiaywDsHJa5PGnguR6vvXNI7WpA/7pJ4aDK4WGWH/3epwQjqn8Q4EwdIlqEYDDI1JbDntnf/isbztmmNrWpL3W90pMzRY2QzCaxRzbOzEGP61R28ySzSUKxBNlimq/9wuu+widXzpHKCZU+uQaDBlSV2nnLxxEs5tKMbN3epbxbxEinyB9K8zB350ztKWZ3QLKYI5lJ4M5cfx25nMi15ag/ErWNoZGsbjGz5Ql+uVwy7Nskt8rMHcmDmZ0+sZTgNBrnDVnHxnRa9YFM3XTRIBV2y6TyKbSUcJ7S+TT6699k8ukfEQiKCLtUTlI9EOH1aiWNkxbVSBfSDNoDydFVCnJR2uwzd+bceuMIgHhSJ1cpcHoqmAw9rhOOhFEiCs5kSqmaI1nZYrVaoema0PHduW9KCIaCZEoZbj+QPNjhYZZEOkEoFIIAqLrq65ji6Th6LMp0PCVa2iIYkvXo3J0TT4sLUlHkcxpSQv4K76YpiBpRAsEATz65ZDaZUSzG1jiPILfuSLNgj2zuvvfAn7YVtrJ0Gj2W08maQm8ztWycqYM5sHF7bVZzl2ylALCWyWuSHVTlWEONqoxffs7Mnvki+3g6LtMz12PuzilWclT2ywy6lo+E0GI6U3OEM3Po1zvocd3XRi0XYkq4OQrJlXNyZKHKLxmpXIpYJsnCE3xLMpP8E+J2VVd9QHKmmBGUzLoBDkfCDLtD0oU0+a08B1+5z7TbpbwjH2Py4JYvOk+Wi4TDQf9w5eafUSPK7ut3CEfCWEOL7f0ii8WCcCRMMCZTMHfmCqMuJBy1eCrOs0/OePjWHhNrQjAUpLhdIJ1PU7sQFpqRNHj66QUEIBwzsE2bRx+cky6Lpmo2mRE1ogSDQdFnFdMUt4sc3tv5Gfyk2dSmNrWpV6te6ebsxpEYUSPkyxIsn07lSvLo/jat6w4vnrWYDAVtMbWnTCxBWgDoMV0UNespiarJb+zxdBxdj3D14lIyWa0+917bBgTtoEQiJFIxhl3Tl3gPu0OSW2XuPqgAsqq5WVNGtAhGwiBXzvlNjTW0GHaH7N/fE6l5Kk4sJdePalTF7PRpXYnkvHXZolvvymRntaJQTvsQXeNNcXGafZPrS9EoxdNxH/sxGgiUdT5zMFtCbZ87czKFNEpEodMyGQ1GzGZz1PW0wqzJZGO5XJIrZQlrKovFSuj5huAshp0hmiFZIW829X2d/f6UVNrgh3/whH/7199GiQhjy5nI2z+4s8X2bo7646c+vf5mtebNPZ+M//mPn/j5u86lXPe5M5dwJOwjFiJaBG/m8NFPTghHwmiGRrMp67ajO2VOnl2TK6YFdTKWCaKRF4fl3Jn7doipPUUrlMhWS5hdk/maE5dMx/wG6SYXp+7c9g9H7JHNqC/rcs3QUMIKzasOtiVC8P3bFUGtrFYEwtLA3X7jEGtoETWiLBby+F14C2b2jKih0W9L/i8UCmFbNq89KH1xRKBFsEe2rKfXDdGoP2I5k0amU+9QKgufTdXlSOPBW/vMXcmkXZ400LICxw1HwpjNjs8iA+g0+l+swR3XF45Ppy5GwhCUSUjsGjdomN51k4gWEe1ZRCGZTbJ7kBc92rMGuVKGUCjE1JbDlez6ulbVZLVvdk1iyRj2UB6nN99jNww5zdBQIrJO7q7hupva1KY29WWvV7o5UyIK8ZQ8gWazOu7MpdcaMBlPaDeFlzQayNru5iigWMkK/f+6LeLwuMBRlbCC3agxqV3SOq9zedJg9+6uPOnrGrWaiT2yWSwWJDIJnym2f5T3g996XOfJp1esliuy5SzT8dS/Zhy0B7TPrmn+8A+Yu4K58PodauctvwlIpOPMJxMGrR75bWFhOTNREMWSMXLFNPFU3M+Y3eiaOHgLTj/GfPQjJuMJU3u9XpxOSKQTNC+aVI+qBMIRtnZy9J8+9kG1C29BPBWnfd2m9tHH0qhkMswmkufqtfpEVMEX3EBHX39rx18LRmNRjHSKiTVh4S2Y2jOGA5tsKctf/388wu5IFsxut4kYBq67YDJxCSYyuC8+FGq9M5cGbb4Qk8JqRbJcZNpqoIQVSgfbLBcCCU5lxTAwd+eC5simSOVT/pGGpoVxZy616yHLxZKJ7aCEQz6KI5FO0Gv2icailKtZZpMZEVWa54Unbz+iRSjvlui2BlT2y0zHU9549wB9fakajUUZdof+2lfTNe7eKzI2x7L2Xq9D242h/CKwQo4hLJNuZwTenH6zS7GclqvJ8RRvNmW5XAlj7OKCUX+E53o8fdEVmPFyyaRZxxsNWC1XLCdjjLhBppAhWc7jzT2MhMHJ84ZgK04E5Ht53qX//JkcW6xE0n592iAYDMrEamRTqSRIpGPrS+MKrOD1dw5F3xWSyeVNJGA6nTN35ni2PM7iOVmh3zTYgUCA85M2tcse4+Mn1M+bTO0pc3dOMBSk1+zL5ymiYA0tFuefkcnF2Tqs+v5bkGOfYjXv5+natS53X9/1s5+b2tSmNvVlrle6OVt4CxRFQKC16yEg8uZf+sX7Pp3fm8qJf3lbnsAGPUuyK8uVvzK5QW3IK0iDN5dmKCcNVzqfJB7X/N/aXceVzM7c48WTOs5EVqpHhxnxDC4WpFJRcWkGAyTThgjUPQfcqb+qYyLv82w2Z+8giz2aoMZisFoxGox8JVMkokjjM3X9JpOIhpEwqO5mSWaTEFZhLk+gRlwmg6yWBIIBmLu0a11Wc5ersxashB+lRlU/RwcQ2zsUHEco5F9vzh1xTbquJ7aDmc0nH15gDeVoYGbPsHsD5u7c/7gG7YEYAGIaihEThZUpiJB+1+L6rCWhfEUmdTfaoEQ2gbO+lJ2MJzB38DyPaFQaZG/u4cxkEhVRI0RjUazrKxHWaxGsoYVtuygRwZDcwG47a6doppih3+oDYI9svDXPbblciuR+DbldeAtUNYTnetjjKYvFgpfPmiyXS2LJGFvbWbxh3/dN7uznePmyS9SQLNuN/zIQDKCEZZoUS8Vg3JNVZCxGIBRiOJAGZ7lcwlyydslsEhbSoGRLWVF0ra+CAZSkAIYZNtfKrYnvBJ2Op0S0CK9/ZQesLhFNJrzMJe+YyCaIpwVKHI1FMRIGc3fOycs2E1uyb2bfwuybvHhSY/9OhWBILmBTWYkBHO2Lo5PF3L/gvfn6hRThDIbVMLPpDOYOgFzRhoIkUzqxVIzVcuU7RwmGGPTHeHNpcuPr6XEym2Q+l2lq4+SSuTvn+rKHEdP+//cDZVOb2tSm/ltSr/RBgJI7WOnf/XfQdA09rvtXdaPuAD0Z9wGq1sCSP78Oi68WCwgGOby3Q7sxEO/jOoR9s2ZbLVfkt3LMXQ/bsqnu5vG8JSc//oj00S2K5RQXJ01/wlTeKTCfL2lfS6ZGiSh4ridB+smM4naRuSOZtWm3S3qnKriAkxeU3niDbr1LbD0FvDkwADA7fZJ50RJNrAkhJYTTaZLc28M2baoHJeyxaI6UsIL5/h+g3H6Xo/vbXJ23uX1vi3bbZrw2GKxWK/9163GdWEzl/EXNF2yHlJAI0sMK3/3F+/yj770glUtSP//CqLBarkTaXu+SLqQJBAK0nzxh5+03sMeCxHDGE1LFrFz7LZZyublYoBo6uXKW2lmdVC6FM3WY2oJ4cGaOSMoXCzKlnL+KVhSFP/MLt/nN33tONBYVHth6OmgkhO6fLaS4eH6JqkdxxmOY2RTu3Kbb6GIkDGnE18cRN1M4AM8yyR3s+kF8s2fCakkim0LTxdk6d+YQwP/8JzIJnImDffyY1IO3fOyKN3NI5iVM/9rb+7x2kOW3vn+KbqjUzpoUqnns9dvpPvkctbzD1m6Bi5c14e2tVsTTcb/pIyA2ihtIbDAYlCxWLOpnGCfWhLAapriVoX7Z8SG8/ZZkGc2eSWV/C9uSVagSlsbV7A44erjP8eMzIlHN/1wqYYXmeR0jGfdF8d7cI7+VY2zafhbv5nEK61+SIgqJdMK3Jzx8aw/LchkOJNcHkknzPFn330xtNUPDNm2isagoo2YOgUAALaoyncwY9UeCs0EOHiamxezv/uubg4BNbWpTX+p6pSdny4VcKFoDi16zh3UpEuhkPiOE8cWS9kWDiCYOzel4KmaAqEYql+LiZZ1YMubraWzTZjqe+teNlUoCI6bCCl5+fsnFcR0UyeM0ahKov5kWjK0pjZcX4o9cZ8hWq5XItrfyQo2/qqPpGrfeuc9ysWRrO0Py6DbdepfybpGoEUWNqsKnOjvBbLTYOhRP4dEd4ax989u3UTJ5WEGmmKFx2fGv9VRN9V2cV2eCkri86LO9nfSv+7y5YAsm4wnND3/KbCaNxxdrpx4RLcJ3vnOX3/hP/rZYEx59ih7TSWQSHN4qMOqPmNpTYimZioUjCqFMEV2PsFxIY4s7k8bLsnGuXop0PZVAMzTq5w2fgh9SQnD5uRxcOHOypSzRuEHUEHCq3WrjzT3+6OM6o1aXYWeIM3NY1o+Zr9lfy8WSi48+I5FNUd2XIw6WC7/Zsbp9P99183GEwutJT0SMDDe5xFhKuHbe3PM/L3b9WgTzxQye69G/FF8o6QrjtQ9V1VRUQyeTT7BYLHj0h0/4W3/7IzpPPqd23pTXHVNRNQH+ksiRyqeoX7SJxqJ4rstiNCCZls9LMCRT3WW3RjwVx+qbmH3TPz6JaBGGzQ7uZCoGBndBeTtPRJPr38zaVsHEovbygtlkxsSUPF4oHKJ6VKV+2UHVo5KxXPPj4nEV1ZCpr6ZrkpcLBtA0ATPPh33h443lcvLmgtVzPayhJUcm97d5+ukVtYs20/GU8fkJr725DQFpsNSoKlO/J+/juZ4/CW188gmjvkBp6+eSe8xv5QlH5O0tFgton/0Mf+JsalOb2tSrUa/05CySP1qV/9X/PTN7RjwVY9AZElbDmO0+qqHzb/zlr/I3f/+ExqUwueadBkqu5HsOZ88+RL//LpquYQ0tvvML9/j+98WD2H72glAy60+aSjsFXNfz2WBzZ+4/oVV28hw/uSSVT3F0q8DjR7KG2dot0m0NAFm3DtoD9LhOImVw+bLmU++H3SGFaoH2+z8kdvdN9LhOMBikeXqFEpWDg0QmISH2dFyQHZo8wd1cT940iaWtNFdnbexP/pDCt/80/Vaf3FaOQXvAN799m0ef1AiG1lO5nilTvrDiuz5ntqzjbq71QDAYha0ci8WSQWcol6ZJg7kz57W3dvjkw3MACltZ4VetMRHWQFbIuXLOD5fnCkmO9tLoqsI/+J3PfazJjSbp/r0iP/rDF34+TDOkebr3sEIwGOAnP3hGoVrwmViarvnXg8lMwp+2RI0o4UiYWCLKeDT1c1vO1OHW/SrnJy3ypTSdpgB62xcNErk0U3uKGhVu3XQswf5UPoU9suVxsr5MTWblgvImpB8MBgmrkncLBEQ1dHB3m7Pn1+ze2uLqtEk8FWfQGVA92MJ1PdJpnU57RFRX8TyR3Q86A/SYzrA7JKJF/ClfPB0nk43x8tNTErm0P5n9yts7fPzRFeaTj8m++e4X7LpKjrElX7/tnTSX531mkxmLxcJnlq1WK7KlLI3Ta/RknEmnw9Hb97GsGa2zazJbRQ5v5Tl5KY7SsBpm4S3I5OJcn7dQFNFYdVoCfe5//CNi998Wqbq3oFROYJoz8Wlm4sRiEa4vejI9UySbV6rmcBwPszfC87w/wYjzPI+IGiGRjpNORzl9IdPb/n/6r24mZ5va1Ka+1PVKN2ehzN4q/ef/OgtvQTKbpPX0OdmjQ9KZGPP5govPT8EegJ7EyGeZO4J+iCVj6HqYy+MGqXwKgDt3C3zwoxPf57eYL4jGoiTScSbrJ+mJJZ7K2WTmGwg61y1ylQKVaorrqwG9egfmLmoqiWNaEIlQqAiY9a33DvjJ956QzKdhJSvL4t6WHywPq2F6tTZ6Mk40FsXsmdy6v831RZfZZOZnfKyBxdLzSObSWENZ2S6nE1gtMQp5nIkjnLEf/Da7f/rPcvHJU7IHe/Sum7BYcO+9e6xWcHnawp25JHNJ9g9ymOaMZq1PMCRIhYW38L2XN9MSd+b6Sih35hJWJQu18BbosahcV9a7VPaKRKNhTp6vJz8D608os2aTGcvJGCIa+WpRrANqiIntioB9tRKi/c6Wz0/79jePOK+ZhEJBmg3TR0bcMO5utFvO1GFrJ8/lcYNoTL5eNxNWJaLACrZ2C5gDm9lkRiwVw5k4KBGFdCbG1ZnItYPBL1ReiaRO46qDElZIZRMsFis/wH7DODN7Jql8ilF/hB7T6bf7ZAoZBp2Bf/EZT8cZXDdQDMlWpQtpes0eDFrsvvc2sViEzz88ZuugQuOiSbqQpl/vwKiLurXjg1zNnkkstZ76rtEXelz3Pw5n6lCs5GhctnEHPYxSCc/1uP/GDh//5CW7t6rSbHdNFEURTVmnR2ZnCy2qMlt/XivbGXQ9zLPP67iOSyqXovniFDyX/O1bgDT52wclLk8avPfNW/T7U0xzRv34krCuM59M0FNJv5GOGlF6TVFlrcYmD771Jp9/8BKCIdKFNMFQkJ3dDJcXfWHRLZcUKznu38rR6Nr85H/+85vmbFOb2tSXul7p5kzJHqxSf/avYQ9HgqQIBbk6ba7p55Ar55jaAnodtHo8ePuI0xfiv9w7LHL2Up6EA4EASkQRnEEsSjafYLFYcnlcp7RTpN8ekC9nmdgzWSGuBPo6Nsdkihl0PUK7LgiEbqPLX/jzX+GHH14zaA+483CHVnNERA3TrnWIJQW0WqpmGQ5skimd0w8/xyiV5XJQk6B7Jhun0xzyra/v89u/89iHihoJkZvffF20qMZoMCKRFrXQ/mGey4s+Zteksl/i4rf/PuXv/AoLb0EuH6PXs2kdX5Culpm7QoIvbhd9yv9yucQZT8hViwRDQbkMXC59GbwaVelct1CNKKlcimF3yNaONDr9lqy81KhKrphiZE7wXI9sIYltCwR4Yk18VtnUnpLKJgFoXbcpVPIUCgam6ZDL6Zyd9uR1RsKS81r/fW8y4d67d3DdBeOxQ6/ZI56SoLs397h9r8yzxzW5MIwovnNU0zUGnQHhSJjt/SK9roWqRZiMpwzPz0nu7MrHvJLLz0BQIKjvfuMWP/ydR1Tv7nH97JzUlvgo0/k0/WYXIxlnsZBfECbWhEI5zdnzawESp+Isl0tG/RGVvSLz+YJ+e0ixkiUUCnL86CVqUhRR2XyCZq1HvpTm7MPPQE+gGlG290tYlhyujM0xETUiDeXUoVDO0LzuElEjZPIJem3Tb6L6rb5gOFaCpjCSBmbPJJFO+BM2TdewLZvlQsC+U3vK/p0q7cYATdfo1DrCDQyHePigzMcfXZLJJwkEYGK7ktEDbt2vcnXRJZ40aF62Ke8WaV13SGQSpNIG/a5MUZcLmRCm8uJF1QzNn+KZPcFq9J99jlLY9v2tld0ClycN7r2+y+V5l9Z/9Jc2zdmmNrWpL3W90s1ZpHC0Sv+5f9+fZBlJA2fqMHfmfmMRDMmlmN1sYpRK/tFAIpOgXElz/PSa+dimcmeP2lkdVVNl6rBTxBpY5EppFosVzcsWi9YF0d1bZItpBh3Tz/50G11y5RzDzlCC0kEJ9C+sIZF0lpASQgkr6HGd1skV0XSSaf0KYmlimaQPV80VU3RbQ8bNFmgynYqlYv5BQ9SIEtEiPlDWm3syaQgGaV40Ye5SubPH9naS8/MBzWcvKd+7TeMf/SbJd34e27JZeDK5MBLrJ+r1ilcJK4y6A7S4rCt3jra4PK6TyqcYdsQJWtousLOT5NEHF3LJ6c7JFdMMuoIkmY6nzKYztKjmrwdv8BLzsU1AVVktV8RSMZmIzOeE15Bcs2sSjUUZ9Ucks0kGJ8comSIg2TqzZ/rU+NVq9ScAtTN7hhIRplxlfwtFCTKdurQvGv5hSCAo+qS5M+eNt3f54e8/hoCsJwPBgFgYLPFuAgSCAdL5NIOOrKWNhMFsMvMF5XpcGHmz6YxULkWnJmH8WCrGsDv0ESrWwILWKcn7b2H2hYt3g0jx5p6AYq9qRFKiYbrhp5V2SnRqHd/8YPVNjGScrZ0cluXQqXXYv1Pl9NkVpZ0itjXBHtlsH5Rx3QW1szqJdIKxOWb7cIuLx8ekKiVWyxVGQme5XNG8bMIKH0UyGkj43ur2MdIpXntrh2dPGv5183IpxxRLz4NAkDuv77FcrhgOJv5juLqd4uWzBmpU3KudRx9Q/drXmU4cPNdjazsj73+95wOMb1RUNwYJJazQrXflmzwAiXRCGvlcSviA//f/waY529SmNvWlrlf6IGC1FFH1aiWAVFZgd3oSvl6zsMKRMPlSGqNYkoBz65xgMIjZM7m+ENxAKBqldd0mlRNSO1aPTEaYVrPZnN4av5B58DohJcT1j/4I13EZ9cQhWagWfJn0zq0KekwHwCiWCAQC/sVboRDDWCufCKtg9XBnLtFYlIk14fzZJe7MpfrgFolMQoLrIZG1z505o0aTiTUhU8wQUSM++b95Xqd6uEUkHmNs2pwcdxm0B2QP9mTl+87PY37wB3iOS7qQ9lVEUSPqc7qcqcPevV0CgQDf+Lm7tOt9n+j/5nuHJLNJLNPmx99/jjN1/Ia4dt5k9NH3yeWEKedMHJm0BQNyRVkS6GkoGiVTzAh/bZ2jym+XAPwplTf3WE4nDE6OQYvjDbs+ImOxWGDV6z6Ed/8wz9gcY376U0JKiEJZ6PiT8ZTrUwmT33/7FoGgTPzmzpxhq0e+nOZH33sKqxUsF5jX1/4U8mbSpkZV5lcvmIwn/mp3ak+ZtZtruXdeeHCGRiKdoHVe/0LIftVi/9YWrjmkuJWhuFMkuHUkE6bGMcvFktFghNkZkEgn+Lv/1i9y+JV7hNWwTGN7A1bDDo3Pn0JAGnKr0USLCdrk+rxNt9Fl0bpgvAYOm72R74wNh0O0ax2MuMFyKTaG2lkTxZCm0ewOGHSG9Jo9kpmkf6U7m8xYTcbSqEej2L0BP/7eU/YP82hRwbZ49gQ1qpIuZtHjOs8/O+fiuEG30cUaWrgzl/PTLvFU3MehHP7ctzH71pqnZ9CoDei1BhSrOTmA0dW1v3NJuZph2O6Ty8dRdVW+F1cw+vxDyjsF4gnNvzTe1KY2takvc73aPwkDknWam0Mq+7Kmy+5WZIpjT9HjOqP+iOvTJt7ck2xPYRdvMiFbEsyDN/dI5VM+bBZg+63Xef7ZBePhWMCz3kL8jv0Rxa0MJGWiE89I9kfTwtjdAQtvwcQWofiNj9KZOj5K4OR5A7srDRmawbu/+m3CaphkOkYql6K8X5HpS0wmPTdE9JvmBUUo+N7cYzadiaA8rsNyQe2sgWvb/rr1m9++Te+6SS4fw7Zs2HsDzj9hPBz7l4uhcIjB2RmDzoBAMEA0KoHvn/zRS775zUOZssSjvHzWJJePM2z3fXdoRI2ghBW86RTl1ju8fHLN4b0df6Kn6Zqf87rBlPQuGxzd3yZfzrC4+JxRf+QrsbLFjJgd3roDoTCEI7z93ff8KWcgEEDN5PDmHvXLDqORfF6Ne18hEAxgDmym9tTXaalRlYvTFtlCCiNhCI7BHjKfry9EQyFCkQjMHczOwJ/8zIYjeWzpKX+iqMd0uUANhvym9PYDAeO6MxfmcgUaVsMk0glWqxVqOk0ggH9IoOoqW1//tt+EMhkx6o/4hb/6X9JuDLAHklMLqRrl118je3SINx5jJA0Ihvxp4c3n/uhPfZNhd0i5ItyxGz7d9Xmb+ViQFzfr45ASIlvOUj3YQjWiTE2h8Zv1BrOJkPsjWoRwMkU0Jg17LJ8hEAxw/Fx4atbQgnCEzFqzNTl9StSI4k5nrPpNljM5NvDmHouFHFNMrAmtep94SvRa1x9/SrEsvwB1mwP/MAUEU1K/6qHqUY6fXMnnfLWCxRxl5x77u2muTpuUtzfi801talObeqWbs+ViSbaYoXC0TyAAs4k0LDdXfONmCyWsoBniglQ1VYj6kYjPJvO9iM6cfquPqqssFkt/iua5HnpM59btPMFgkOvzFgSF07RarVDCCu16j2QpL/mdke1LrL2558u8q3viM1RTSdSoihKJ8P4/+oz7r1VpXXcZdAb+ReHJs2t/VedMHcJqmL3bVQgE/YbRsadMR7IyNNIpju7voCUE37FarXj0SQ0WC3q9dXNZzhG591Xcpz8hkZKpYjAYRCuURC5eSPP0h58QT8dZLpb85P0LuU40bTRD4/qig5GKMxmNfa2O4CaCGAkDI2HQrPUIBAIc3tnyP6eHdwVkuhybROIxbNul3zGJ3nnLnwCKPkuk5cePXqJm8+hxnU/eP/W5atlSlmwpI1qlbJLLkwZGXAj3rICA5KfuPqzI6rczWPPNAszdOe3rNrHtXcYjm1Quxf03D8gUM1Tfep1MWeToc2eOmoiTL6dRMnkxEuRTLBYLcVfu7/LL332A2R9xftxiNhGmW/nOocjc12vEXndMYStHvzcmlV27Lu0p7VrHByMX7twmkUmwGLSl8ZnZaLoKiHLLm3vcfvuuHGPEJU83NsdYA4tiJcvxp8d4rsfFSdM/XIin44QjYaLpJKvZlFF/JFqxXJLWZYvrkzpGwkBLxGWiuna8Rg25lp3XzwhHwpKjjOnoMZ10LuGvGuPpOPXzBuPhmPyb74jJIZcmd/8B1bt7Eilw5ftICSvcerDLzJ7JJC9hEN/dJxQKYjWaTIYm/VaffDlLaadEsZr3v7ahcEguhKsF9u7v482mdHoicZ9O5z+rHzeb2tSmNvXK1CvdnKnRCLVTuSILrUnmISXkT8WiuRxhNcxbb+/6/81IGCTSCXElzkQbVNnJkilmcKcz+o0u9WcnRA2ZdqTyKWzLxrIEprp7WCYcMwSxkE2QKWa4da+C2R34wNXVcuW7FsftLjtHWzRrfdyZi3N9RjQWpbhdgMmQzz+58nNF3lwAncFg0G82jIR4FhUlSCyT5Ft/6o5My4JBQSqEZQ338vs/YnZ57K99gqEg9967R+v4gqgRFYVQLMr2d3+Nq3/4Gxzd32Xuzv2cT7fRI5LJ+WDRYDDIYrFAjUpOLJ6Ki/8znWDnsEynJniFZD7DZDzxcRKpfIrlcoWRMNjey3F+3GQ8HBMwEhIwb/TEGAA03v8xrm3714aarhHLizy9VM3itS7lGnO1wh7ZtK7axNNxURGBz+LyPI+tSpqQEmI8dgmFQpS385KVCwa4dadIaacoGbHJjNlkxn5FJlzTiYOxzrrlK9JgX5820WM6C2+BO3OZ2TM/i/j7338p4vTzl3LROp9jj2wCQVnj3RgGeq0BvWaP2dQlokbQEzG8vhyEqPGYSNHVEARDGHGDYDzFZCyrUvviFLPeotse0WvIsUM6n8axxkwHJmfPrwAIKSFK1Ryr1YpURqZTBAR9QjgCK8gWM7SPz0lmkxSqBZyJw2wwZLFYMDbHZEtZmVwWUuh7t9k/zHH7TkGwFkmDdr0naJSY7jtiCUC/JQcwgWCAYimB5y39RtpIyEr1xfuf43meD9hdeAsuz9rESkWOXj8iGApy/eHHsp7uW/6FsucKiy8SCVE7b8Hc5cmjU6b2lPZ152fwk2ZTm9rUpl6teqWbs4W3JLaeAk2nc958d59YUq7YwpGw4BqWSz75+MoPwy8WC99/eCOdHg6njAYjHr5zi2Q+zeFbdzH7I+xOD00Lr/VQA2KpGNOpHBuEI2GODjLYI5uL0w75alGeUDQRQI/NMaFQiGS5yNnTC9SoysHdKoXX36Tf6rNYLAmki35DFtEi3L4rSImFtyBfFu+j68yZdDrUr7q4M5d6a+yv1hJpIcBrukru4esU3vwKgO8nXK0gXS1jJAwBz1oTrk5qHP3aX+D4N/4OZk1gsM7ZU/9Ksdfs4Y1kimfWW4RCITpnVwy7Qzq1DiElxOkHn/mXsHN3PckIyNXrxJrw9JMzbMtmOBTOViAYIFOU9Vt8PX1brVZkXnuLeC4jRwq6HFZEjSgnzxuMLQdj7xbW0GI0kFVjPB0X1dbak6nHhAHnWGMef3SCpms06wP/iR3AGs346W/9mNpnT7B6Q5KZJEpY4Xd//ynO1MHsmYyGY1zHpfno4y8arHVjmkiJCksJK7gz0XYNrmrsf+OrJNICNJ7aU1KZGKqmksqlfMSIETfonl7gOi5bO3lCqRyT8YTqXpFAMMDYmkEsRSC4RpXYU3YPisT3j0iUCkLo11VsyyYUCvLuzz1k98EBmq4RMQxiqRj1C+HK3cBiV0uBLd//yhGe69K6bmMU8mQLCWzL5js/d5tkuUh5t0QylyQYFARHuRxnMjQ5P+vx6ceXzJ057as2q9WKsfmFkSEcCctErZBGUeSA4fMPXtI8viQQCFDeyRMKhXAdl5/7ta+SSCfIlbNMrAmTsdgRxu0u5y9r0sjtHMgvV0qIbq1NSAlR3i3Sr3eIRmUdHtBjGHFDGrzF4l/kj5hNbWpTm3ol65/anAUCgf9rIBBoBwKBx3/sZZlAIPAPA4HAy/U/0+uXBwKBwH8QCASOA4HAp4FA4Ct/7O/8+vrPvwwEAr/+z/LOeZ7Hrbtl7P4Qs2fyk7//fV/QPHfn7N2uokU1gqEgnr0Od/+xC86xOWa1XFE/vuTBGzs8fv8FekzHtoU7dvjmbR9CO3fmDDtDamcNtnYKaLrGH33/OclMnFF/5F9ogkwu3JlQ+GeTGdWjKtbA4uTpFZOxhKo7tY5/oTYdmCwXSz79SJ7Ik7kk/fYQVtA9OePo7ft4rifao8uuD6/ttQZCrG8PhNo/lpydVz/F7JlcnraYu3PMnkkoJHmlXDlHpzWErTtQfy7vc2GPvaOyD7I1iiXxPbZOpDFqvmRq2T5XLLm7KxO3NXg1okX89fHOfh4A++qCxWL1Jzhoc2eOqkWIRDUyhTTORNZgy16DYc8Cb/4nGuedgwLzmXw9b5qyG9fnqlfH7It/VI3FoHHM2Bxjmzbe3OP6vEOxmhdHp2ZARPezW4e3Cr643ZtOMXumKL0yZfSY7js0c+Usl8c1ueQcT7jzcIfxYATtM7YrCVrXHWF1LVecPz4Vd2irT3UvTzafkCa5e8F4MOL02RVKRJHpYXOIM3XIZGMoiqzIFUXBqZ1zcdIinUugRBQmprDhtKhGp97lgx++YGxN/eZ80B7gdJoEAgGuT5uEQiF+4U8doUQUut0xobA0UvZgRKvehxX8xn/xfSJahLFp0290aVw0mdkzPnt0STSZEMWTIr9cRLQImq6R38qjRlXMrsmg1vIvWwmAbdqkSzm0VIJ+q0+3JZe9Tq/L9373MdbQov7oE5LZJEbCYNDs8ua3H+K5Hs6Lj0RAv52Xx0ntGel8ivp5E9wZo9EMbzqltFPyL55XjvPP9pNrU5va1Kb+Ja5/KkojEAj8KWAM/Ker1erh+mX/O6C/Wq3+eiAQ+KtAerVa/VuBQOBXgP8Z8CvAV4H/w2q1+mogEMgAHwDvIAmiD4G3V6vV4J/0tiOFo5X+3X/Hv8p0Zg7bhxV6rYGf1Zq1m4QzeVI5gYMmc0nskU3UiDI2xySzSTQtTONSNDqA/+QXNaIMai3ihSyu47J3VKbbsXy208GdKrbtYlsTbt0p8vJ5i+FVjdzBLgtvwaDR5s5bt7i+6PD6Wzs8eVz313fD7tAXQo/7JulSzvdjOhOHyn6J+kWLr33rNp99WsOI60QiIdr1vk/uX7oOt944otMyfdF7eTu3vjAdMHfmeJ5HrpyT9+fsDK1QkixcMkYwGKT/49+j+HO/zGq5YtAZkN/KEQwGsK2pDziNJQV94UwdH49xo846uF3i6qLnXzWOzbFP9r9xb4Yjcmgw6o98B2O3IWyuwlaG6VSOAjxXgumj/oiwGsZzPR8K/ODNPV4+rTOxJgRDQTLFDHNnztyVYwkjbohsPa5T3krSbo8ZtAf+pWw8Faf9+WOU3JY8drQImqGhRVWGXcGiWH2TndvbzKZfvF57nbm7If+HI2GUiEzRkpk4g67pX0aGlJBoiawJINO2XFmOGMbmmGAoSDwVp/niFCOfZ+4KFPnmYwqFQv4EcjaZST4yAJ4tr69wUKVbl+nijVQ9GAyyd5Dl0w/PKO8Usa0piZTOaDjx8SPhSNjHpBgJg1u3C3z+6TVWrUa8UvGdoREtwsye+X/HvL5GSaSJp+NMrAnpQlo+D8EAvdNziMa5/9YBT37ztyl97dt0611uPdjGshxGgzHL5ZJEOk77ukO6kKbz6AP0g3tyhSk/J3zeWjQWxZk65Ldy9NZ8tpk9o1At0Kl3+MpXj/js4wsiWmTDOdvUpjb1pa9/Js5ZIBDYA37jjzVnz4GfX61WjUAgUAb+YLVa3QkEAv+X9b//zT/+527+t1qt/vX1y//En/vHVaRwtEr86r/LcrH0AaOaruG5HiElRCqfolvv+iu1/skpu289pNsc4MwcQqEQzmRKLJ0AIFtIcX0qjKbJeALenFg2Ta6YoteWJ/BUJoY1morrz1tQ2StwedwQiO1giJHPsr1X4OKkiaYLisL3D8490rkEl8c1yVclY3TrXfbuVOk0Bj5HaveozPGTSyr7ZYa9EVazhRJLYCQMVF2l3+xT3C7grplco8GIeCr+BR8q8AUTTQkrwpJaf35uWFrO2VMo7FHcLdP63m+RfOfnGQ1GrDwPGi9Rj95gsVhQrBaondYJBAPoMcFF3BD1b+j4N9OxmT0DxEcZjUUpFBO8fCL5qEIlT/u6468MWUEsFfORCzdsuvJOEcuUJ+yIFsHsmuS3snQaPVRNJaJFhAVm2pS3c7TqfaxWB1QNNSprxdVSVnwze4briOzbur5CSedkOriS6ebcnfsNlzf3UCLyuYqnxDVp9kz/ulLThcU1WF925it5OQhYM8/CEeG+3TQeY3MsUytL2GONqw7l7Tztep+9oyLnxy0IwN5hkU5njKaFuXx+SSKX9hsva2ARUkIc3tliPHYIBgMMemOf4XcjH7/Jj+XKOX/1WqpkePmZSM31uFw+mu0+BEMUd4okk1EuT5ssvAXZkuA0bsT39shmtVrhzlz271S5Om36uqj8VhbbmjLoDMiWsniux9QWg8as00ZJZkjmkn4zu1wuRa+WjjN358ydOa7jsvI8guEwelxH0zWiusrV0zPe/c5rnJ/1uXu3wOefN7AGFul8mkIxzsVpW45+/tavb5qzTW1qU1/q+ufNnBVXq1Vj/e9NoLj+9wpw9cf+3PX6Zf+4l/8Ta+HJSukGHHr74R6pXApv7vGVrx6gKCHylTyD9oB+vUP26JDp1CWRkUZHCStUDqvyZLRc0bzukC1l0XSN194+JKzr3LpbplXrySRn7tGu9xmbY8JqGGc4oFUTHtjcmVO5e0AsGeP0eY1YMoYRj+I6LtX9on+JeXVSFyhqIMCoPxKdT9ciEAzw4I0dXMfFtl1KO0KTX61WaJmMfDFCQcyuuWZX1UWZZEhD0mv2aF21yJaz4uF05+wf5HwchD2yUaMq+a2cHCwc3Ofum4LLuOGgrTwPRVNJvPae5K0yCba3kxR3RMqeL6fJlbNEdc2f8i0WC/ot8TbeZO1WqxUTa8L1RVeu/woZ2rUOmqHhmCasQDME5moNLZSwwrInD5fRcOw7OT3XWzfKM4LBIK7j+qtjJaxwfd4SJIhuUKgU5JpvPMUaWoyHkpOa9iWDFoin8VyPvaOyP62Kp+LEUjHM55/xp3/xrhDrdY1COSVmCS3C1naOB2/sYJs2oVCAVC5FZb/MoD0gGBSIbTAU9KdUN6vsYlVWgZquUb9so4QVLo/rABw/q5EvC++uUR/CCia2g6KpLJdyUDKzZ/5j5vGHJ4yGE65Om4z6IxbeAntkY49khbtarSjtlPwMoKZrnL+s8/XvPPAzmGbXJJnPkNvK0W/1Mc0pztQRDZfj+kiNcEQyj7FkjNVqRac15PBuRQwCWgTDkEvYiCowZECareWKeKVCIpPgW+/tksomfNPCrQfbfiOpRlVCSohoIkZ5t8RyscQaWFwd17j/3l0evX/KqD/ipz88Jp2JEY6E6bf6PHl05qu/NrWpTW3qy17/tX8SrmT09t+YZiAQCPyPA4HAB4FA4ANcm2wx7Ye3TXO69hQ2ePp5g/HI9nVB2jpQHF5nmm5QF87aFek6Lk6vS/vkHG/u8eLza/S4zpNPLlkulyy8BePzE8rbctEYUSOo6bQvkg6rYazhGLMnFPhYXKOzvnTrNCWHoyiSOXImDtOB+Aj/+AQnEIBQKIQ1HGNbE4LrCUoql5L11ho0OpvMoFen3+xij2coSohVv4mRMFh4C/+C0zTlCXfUHVDeybN/q0z98+eAZMDOjxsMOgPJle2+Dhefsn1QZuEtfNNCrSYXg7FUjE5zgNkbMZ3MCIVC/rVnLBmjXMkITmKtWfrj609v7lGsSs4rHI8TUkLEkjG81iVRIyp8uXiGUCjkr9Xmjqw6p/aUdFaepKNGlHwhBkByHcAPhoLkK3nf1ZgrytRG1eXzqqVTOGvtlRpVOXl6jaZraIZGKq0LpyxT4aefNHx/ajKpETXkgtO2XWYzeXxN7BnBYIDGRYtULiVrwMmM6XgqkzR7hmOKGH02dfE8j7k7x7GkYb0RvDumhTWaYsQNVE0VrdHNY8wcy3qvnGbhzEikExhJmbrOxzaLbp1hdyh8vFySsBqmuJWh1+yxd1hk7s7l329t8aPf+dh3o+LOsIaykp9PZ3K0EAkTCATYqgi7bLlcCtIkIt8jN3/3+qJLLBkjakSpX/WIqBFK23mWk7FM+dbr19lkhjNz+Lt/7yMm9kyONRqXTKdzf+UbCARghXyNVMnyzV357y8+v/TxNK7jcvrsisViQSwV81frmqH9N/WjZFOb2tSm/ltb/7zNWWu9zmT9z/b65TVg+4/9uer6Zf+4l///1Gq1+g9Xq9U7q9XqHSIx+p0hmq6RTkcZtAdEjSg/95e+K5MA12MynogtwJmjRVXGpo3ZNTF7MoFKpnRmkxlvvHOAXiiiptI+dNYaWH7+plzJoOQrNK97RI2ov4JUoyrLxdIP0weDQWzL5uq04U8UDm8Xfel6PCU6oWQpz2zmoUUjviHg+ZMGO0dlMvnEer0kRwytqxZeWz4dB3er3L5fofLOO3z9Ow/Wa8IlyaPbhCNhQkpIJlm2SMyXyyVa3KBV63HyrEb2cJ9ERsLqNxmfm4nZ/p/5c5z9g7+HbVpkSxmm4yn2eCorsa7J9l6BRCax1gvJvy8XS+bunLMXdTRdIxAMEEvGSKQMaSqRRrDb7BEMigJK0zWKxRh3fv4bfOsbhwzaA9Llgp/bWi6WVA/KZApp4qk4g540N+FImOOnNfqtPq1al3I1Q7GSo/nkmZ8DG48dFq5cpoYjYbkuTMYZP/mQZFaI+J3rFvbI5vTZNWNzTCyTpNPoEVJk5ddqjek1e7z53iFmb8TpizqqruK5Ht1G74tGZH3tm8wm6Ta6gvZIJTDiBvlC3EeraIk4oVBIHK5hhXSlyLAzZLVakUioWH0TfW0b0GM6RtJgZE6IJhP+yndqT4nlM1S+8haJdEKuHodjEimDQU+QGPXrAeWdIvff3Kd+1SVezFPZzrBarXj3F96gsi9Tw2/+4mvMJjM/J/j4wxNK1RxKWMHsmWKhyCVIpBP+RK1z1aR92SCkyMfRqnWp3j9i7s6p7JeIJWPi/Fw3cbF4VFa86SLXZ03cmcvbX78tEvqkQUgJcfGyjhJWKG4XfQD0e9+8TamaJZUTeLAWFffm3J0zs2f+99mmNrWpTX2Z65+3Oft7wM3F5a8Df/ePvfwvr682vwaY6/XnbwO/FAgE0uvLzl9av+yfWvbQYnu/yOVZG03XWHgL/uj7zyRPNnUwEgIqXczn1B99wmw6w5tNUTWVYXfI2fNrAP9M/+YoYNgdsmxfYrV7zCYzLk6aqFFhXaUyMT9EHQyKC/FGTK5GVQqVvJ9r0gyNRz9+IZm0ycxXAjkzh/nco12T1d/CXQet2yOWS2mGXMfF6pusOlcohQpjc8xwMKHRGNFvD3j+VECozRenOFMHd+bSrcvrCwQDki1bP7m/89UDAMyuKY2BLUT6YDAAjZfoMZ12ve+bBBaLJQRErbRarXD6Xa7O25g9k2Q2Sf28SfeiTqaQ5tvfPELT5QBguVjKhd55Cz0WRTOkYStWcrRrbXqtAbZl8/zza67O2vzgj46JxqJYQ4vdoy30uI4e1xn2LNq1DnpMsnLZQtKHmxpxg3e+diicsqkLjnyMzsjCNm1UQzJWuXJWpjdTB4oHjM0x/Vaf7FZenuQDrEGrSdL5tDQdz15y9fSMiBbh4rzP3J0LLHa+QI/rMv1ai7rH5liubdectlt3ir5U/OWTK955dx9v7lHZLRAIBCiU0z5S4qaJHgwm6IkYruNhNmX1a5s2/XqHeDqO53qUdwps7UqD322KkzKW0FkultTPpdFsPnsp+JO+xcnzOvFUXLRfc3lMf/rhObUz0Vo9f9YmlozJLwD9oYCSXTnYMBIyYa5ftH0cTCAYIBzViOhRhp0hqXwKgPl8wcSaMBraOFMHu37NbCINVLc5IJY0RMheFNvA8yd1P8vmmkMyRVnXHx1miKfj4ijt2Fyftfz17mq14va9km/JcGfuP+ePpE1talOb+pen/lmuNf8mEujPAS3gfwX8HeC/AHaAC+C/t1qt+gEhnP6fgF8GJsC/tlqtPli/nv8R8L9Yv9p/b7Va/d/+ae+cVrq1yvyF/60PNbVHNkf3txkOpwy7Q4zEFyJ0mebo1C/ahNUw8VQca2BhD4bcfvMWrcaAcCTM7TsFPnt0hTMVb+GoP+Kt9w55/lRUN/u3tuh2LHRDpXXdxRlZpCtFf1U6d+ZMTItYJgnAg9erPH0sU6VwRCEUCjAa2szdOcWtDK67wHU97HUI/mZ9qSjSzAFUD8qYg7HkfDoiPddjXyiqPNdjNpmhx3WsgcV3vnOX733/hZgIwgrxRJR2vc83v3nIT96/EMDsOs8UjoSZWBO/8cyWMiwWS1rf+y0OfuXPcfb8mlAoxOG9KgCd9gh35voTjHAkjDtz/anX3Jmvw/Mazcs2tx5so2kKF2c9H0nhuR4P39rl808u2b9VZrsc54OPrskVEozHDr1mn2AoyNZOnvHYQVFCDNc4kDfe2ub9H59Q3s5jDmxyhQSO43Hx8hojYfDNbxzy+7/7hH/luw/48FGNYCiIO3MpbaUZDCYCH57MuPv6HtcXXRaLBW98ZZfPP63heZ4gR1IxdD3M5UmTREaORZypQ0gJSRZu7rF9UGZszQhHFEYDi63tHCdPrwgEA2wflLl/lOWHP73g7v0S5+dDnJnD19/Z4R997wWBgDTOISXkh+SNhEGhlOTipCmC74FFWA2TysTotWWalcwl2d3L8vGPX/Lw7UOuzru+/F2NqkT1CGNrSjAY9DONsVQMzxXQ8NydEwqFCIXl67R3WKBRN6XJdD1KOwVsS8L9N3/n5jozX0pjGBEsy+Hi5TX5rbwf9l+tVmzvF+h1xwy7Q0JKCMeeUtrb8v9/oZzhcC/Nj350gt0dkNuVq9nlQnRjUSOK2R0Q1lT+6l/5Br/xYZ3j503/Y7s52sgXk3z6v/nFzUHApja1qS91/TNda/6sKpjaXSX/7F9jNhyhZ1JM+kMK+1Vcx2Xuzjm6U+bZZ1cYSYP+ZZ1gVCYfmXyKqxPRGyVyaUaDEel8mkGjTWGvwnQ8FTTHevI2GU/8s/+l62CkU/I6W30SmQT94xMSO7u+OFvTNfqtPhFVLgujsSjWwPKRDt7cExTDGusxG45IbRVkouC4vP72Ph/9+KUk9ZwJ2w9u0bhs8cY7B9RqI6rVJI8fXbBcSHO1XC5RwgphNcw33t3lN/6Tvw3FfeKpONFYlF6jh2bIekjTNRYLAczSOiH/tZ9n0BnIEYEzZzqeQgB2Dsuc/ubfQ3/9m0yevA+pEm9992u020Lq3z6UC0QlrPhTocViybAvKAm30yC5d0AyE+PyyRmReAx3OiNXKWD2BP1xk0+bXp6gFHfwHAcjlfCvPSOqgGnVqOo32MGQHAbYVxcouS/E8uNnj3jnv/urfPbROSCr1NJOAbNvYfVNIfKGQr5ns9/qs1xIziushplbFqjiA52OpyKzH0/9tSIBKG4XaV22oPGSf+N/+a/xN/6znzBfa6c8yyRZ2SIYChIIBnweW/sHvwPbD8hsFX3v5E3jncgk/GngDe9t592vYPbHRGNRmhdNyRzmxfM5sSaU98qM+qN1XtKB7jXazhGzfh80nWQm6R9OeHMPPa4zNsfs3dri4rhBLCWZPWfqyMXtZEI4JoiN116v8PGHFz7KA+Tq9/B2Eduec3naZNZqoJcrfjZsuRDJ/dgc+xaKh2/u8P73HpMs5BibYxbjEWomQ2Erx9VxjQdfOeDlk2vc0884+Fd+kXZDkCe9Tz8ifvuh5D+7HRLVqjRu62klwKTdYvZb/+amOdvUpjb1pa5XujmLFI5WqT/717B6Q8JRjXgqjqar9JpyQZnOxmlcdSSf0+mj6Lqvt9k7LPL5R6coEYXSdkGC3pcSjbvJmd1YBm4UQpqucXi7yLPH1z4LbbVc8eZXj3j66RXe3KN6UGY6FYhqOhtnYrtYQ4tEJsF4OMbzBMsws2eyoksYtE8vCUZ1lq5DNCkuw8waxqlGVT/or0ZV/1IuGApiDSyUiEKulKXX6vtTq5sn7pv8z00+zohHsUy52gyFQowGIwKBAMn1VWatNsIeT5k7c3+aMfn0j1Dvf42IFmG5XPoHFpXdAmfPrynvlrCGst5L5VIMOnLFePv+Fo9+ekzUiDJ35hTXn+N+Z4g39/g3//JX+T/+zQ99mnwiLQR7TdewBpaf4wqFQqIFWq/DbrAWi8WCqBHFm3t851sH/PbvPhOH53KJbdoUqgWRjhsaY3PMzkEJ113QbQ0oVbK06usL07BC1BDGljf3/Eb35nGvKIqPiogaUab21M8ZxtNxgQ1bE+LpOLF4lFat6zdmNxOsG/2UZmjYJ09Rd26JzzSfIhAAXY8wHjvcvZXjk88adBtdQI5Dvvlzd/nBP3riN+E3PLRAIIDruKTzaZbLJcPukNe+ss/11RDXkdWf2TNFt7QCI2EwGozEOhBVcbodwuksW7tFLp6eEQjLNNZIGFhDyVqqUVV0TxNBYVS3UwQCAZrNMZPxBLMzIJFNEUsazF2PbqPLn/9zb/EPfudzYklRVN00cLFkjEQyiuN4XJ/K2nW5WPpr0JsVrjNzxItrjnnn67c4Oe4y6o8o7+TptU28ucfgP/vvb5qzTW1qU1/qeqXv1m+4TIRCMq06OcHsjUgX0rCCQc9C1aS5QVEIBNdXlprK8dOav/a7/vwlY2vKfDrj7ms7cs23JsiDPLGlcimsVoenn12RKaSp7G+t3ZcGj37wmFgqRkSL0Gn0cSaiBbo+azLsDlHCCjN75nPB5s7c52q1L2qwkOmLGo/Jk34qzrA3EiRF/UoUU90h/XZf2Go7WR+RcSPUDoVCpAtpUrkkTqvm4zqWyyXDzpCDozyjwdh3ZTZenGF/9mNiyRi10zpnZ30aFy3Mrok9sgmFQkyevI96/2s4T36MVa+zXCzZ2iujairdlrlu2FZk8oKTSCY1/6ru0R98TDKbZO+oJNm1db4ulhS22d/4zz/2p5OzdlPo/kNLROhahLE55uj+jlxQjmUdeaMp8jyPce2akBLCnbl8/8cX2I9/LJeRUwcC+Gy5sTnGMS1efnJM47JNKBRiuVyRzCRgJZk6a2j5Dawe05nZgu4obOVwZo4PxDUShng1P/0R2WKamT2TbOJySe+ihmVO1qvhrP++mo9+yKjVlUmToqBsHZDOp1ktVyyXKy6fnXN52qJ51eZ3//PfZWyOqeyXhSHmOPz4hy8p7RTRDGHm5ctZJqblw2rbz57LWtKe8NmHZyyXkrErltN+Y3/jPlXCCriueDIzOebTGc2rDtFkglAo9MWF6/qXB2tgCeBZDRNRwzz+6JyPf/iM0WBERI2QLmbF3OCI7HzleXzvh2cEg0F6Z5eC/BhaTFsNkbaPZlyf1PmlX36dqT3FfvkZlf0S+S1Bvpif/IiD21uCCJlOefzJFZ2rJq+/vUe/I+v06Xj6M/6ps6lNbWpTP/t6pZuz1WrF8NP3SeVS2COb3O1bPnfrRqF0+54wqVgumLtzCU33zDXeISfcpHEPRVF4+O5tGnXTz1DZvYGfW+s1e6ipJE6vy2Q8Zdg1CUfCqLoK7VPR3agRFgtBXUQNuVYLR8JYtZpki9w5ETXCpNXk4Vf25ckzneLht97k9oNtktkkb713QCQiINDqQRlCYfrXTZaex2IumIzBYOq7FPfu7lDaLpAppAgpIernDYzqLoUtkb7f5JsuzvtsbX/R1EUzadh+wMSaEAgGsAYWmVJGJh1jUzJmqRIRLQKlI2geM3fmNC6aslYc2f4a1DInJDMJmvUBw+4Q5i5MTMbDMZenbVRNZX8/Q1gNo+sRQkqIdC7B/mEeI2lglCvM3Tl6Qhq7QjnNa2/tUr/skitnObpbEaXVVZ38Vo69wyJbD+9JIwZ0z6+hfIeZJfL1RFrWpZ7n+Qy8eE7evhJRaDf61M8bpPIpwmqY6r5YE7y5J/opWy4pR8Mx5R25JAyrYaZjmZqR32MynjFqCa0/U8zAqE08KZJ627IZ9Ufy/kXjaKmEn11TwgrNy6bAVIdj1FiMVC5JabsAeoq5O8daZxJTxSyhUIhoVL6Or729z7A3gsWCYDAozZYt4GU1IStse2QTUkL8ylerpPNpEoko5d0S1T2Ruuf3Kj66IrOVx7l6KVMrx8E2bSbjCYNWj2Q2yWq1YvdQDhHqZw28xinMZR0aXh+4VPZLvndT0VRcx5Vr5MoWO4dlIlGNrYf3iKjScDN3+fFPzvFcj8zr7zAeTRkNLOEO7r9Op21R2i6QLhd8wf2Tz2RSnd/Kyvfbpja1qU19yeuVbs5CSojI/gOMuKxjbnQ9USPKaw+KHNwu0+3apHIpyoc7bB9WIACL0UByNTNpmGJH9wkpIa4uZMKxXMhqbPvevjR0C8ElHN2tEM0LCiKRSfhw19Rb3+Ctdw8weybFSo5sSfAFD97YwW41eee774pxAITgH9a4PO/5TK8nj844eV7HmTg0mxa91pDlYgmAUS6T2S6R3crj2fJk1W10uf/GLrNej0HXotca0Lxqy+sGlIjCYrFkOp5KGH67gDf3ePbohNVq5a8Iw5ocAegxncKWSNz3b29hlEr/H/b+O1qSLb3uA38nMjIjvXfX37rl69Xz77VFO8I2QJDQIiUC5NBzaUhJM4sSxRkRmpEgCZRoRGlEI1HkooYixCFFT4AAgYZpAN1o97wpX3X9vel9RmZGZmTE/PFFRNZrwnQDDeARqLNWrbo3b2ZkxInIPDv2t7+9AXj+Wz+E4zjESmX0Ky9j33+FWDLmNQhsEY1HGdSkW7BxIt19iVQC+jU++b3fIV5cBSlXmqawhfF4GHNgcnZQ53C/Tff+fYy4Qa6U4+LVNRzH4eyoyXBooYU0WudtHtw5JRoz+OR3vUS/PWA2s5mas6C0pyeTxHIZWFiBN5fruiztpYBLy2RnrywpBJ6JqW+Uay9sep2RPN455eBBnVhlLejybNe7Xrh8lNlEmLJEVXJIjXSKVC4lzOTHPkq3NSBfzTMzZ8LWAusvf5CIEaHf7AYh9/FkXJz97aUAK0Pnwm6OZz96g80LVebWPHD6T2aStJvinXd00OGbP3GF3EYlyDS99Ds+RSwRI5GR0ncsIeXUH/rRO7TOWpzs1zm/d8CjO6d06h3JdPUSDbrnLVKXn8IwwoQikcCDj8UccyTlb13XsA5uCUNd2iazsUYql6J1LuXbXnsocVJKwu0vXV1j0BmghTT2bx1y+cYmnXoXEBNlPR5nuVxy8cY2Wzv5wADXt62ZmlNOHp0FNzZaOEzEiKA0Ra81wIg+AWdPxpPxZDwZ72vNmV7cc8Mf+jMYmQyO4wQLhFIKa2Yx9Ty64sk4elhnMp4wbraJ5iTip7JZlLKOxziEI2Fp5z9vCcM1HKO8kqnfUTcZTwKH+dKGhHy3zlqBf9mgMwg6H5UmC7A9GrJ54xKxWJgHbzwgu16WcqcuUUpAoPUprhWp39+nsLvFzJxJR9xkxksfucIrn7tDNBlnfbtEq94PYnZiCfFJY2aS2Vzn4uUyd945ZT6bk6/kuXK1xJd+/p4YqQ7HJHPio2ZNLSKGGKkW1woMOkPS+bSAkUSUWDzK+WGN9d01akd1mac3P0/k+gcDEDSfzojEBKzOJtK5FzEigRFtKhNn2Dfpt/tcvL5NMhnhndf2yVfEODWeirO1W6ZR6wMEOqVpt4eRzZDMJJlNZkSMiDClp+fB3NheQoQW0njmhV1uvXUSPFZcKzCbWDz37AZvvnVGMh2j1xYhvZ8h6bou836P6tWLTMfTIBVg3GyjxeJBTFLYCItmqztkMV+QyWfEd8vTHSqlAluOpb0kX85y8s5dtp6+xnRikUhGeflmlX/xI2+yXC7ZvrTB0Vt3yO1sEzbCDDoDitUCEy8SbDFfBCH2yWwS3WNEjZhBsVqgcdLEtqWjN6SHAn2c34Hre8Ul0gmuXF/jndcPmY/G5LeqjPsC8OfWnEw+w6DVpbBRJl9IUjvtBBmtc2tONB4Nysz+PmVLwlIXylkcx2XudQoPOgKc/O5RvxM1W8wG9isRI8ygM5TA9EaTRKWM2e5hpCWpodf0WECvJG8OTSxzQjIvLF6+lCUWCz/p1nwynown47f9eF8zZ67jEk6lWNpLtJBGJBph1BtRe3RM9/UvSvmslKO6nqXb7DJudYmk01Q2ipKJee+Y+WyOOTDZubT+Hr+t2WSG8sTo9kJsBfSI5Caa3T6VrQrj/jgwoA0bYZ65WSWWiHHtKdnW089LnFR6rcpy6fLgrYckCuJ15ftJZYtZ5qaUseLJOKP+CCJROsc1rJmAJ9e2GY3maLqkGpwft4JFORqPooU0PvKpGyTKZVzH5fUvPgjAZOu0wZuvHgVdjboRobyWY3B0FLj4+xmXRtyg2+yK79VsTuOkKXPaHwsD5ULk+geZ3/kyuXJONGh7G4Ftw+Ph6NbUYjKecPzgTNzgY6JTC4dD0qAxGLN3bQvXcbn7xkMAUpl44KtWubQTNDf43YzD7lDm5rUvBB2J88mU2XBEozHGmllYpgS2t2viT3feEAPbswMpJU7PZC6eem6bRDpBfncLTVMSbn5+SK6YAaXh2LZksk6npLKpoGz98kevgpJc0FgyxtKaUViTjMl8SVjCTqNHrFSmUBBj5Npxk89+8UBel0kyHk259qFnsKYWw650Cp8diKZv2GiTK2UDzVoiYdCuddi+tIGu65w9Og2A2c0XdrEm06BD1HEcLt3YDhpN7IXNyXFfblq2qvSaPeKpOKlcSrR1kxmJbJpOvcPJQSMAqIl0Ancpes7BrdeCJIhoIkrrTK692nGTcFijU+sE2sy5NWdpL5m3amxdqBAxItII4V2jnXoXc2jyoQ/tkaxWxL7jkugKh90hL33kCkpT8hkbmqBANwzG3YFEWk3nnB21fnO+bJ6MJ+PJeDLeR+N9Dc780ke2lMUyp56IO095Z4PE9RcCzUqvJ4xEfquK0hT1kxatep9MKY8eEauCxnmXZCrG8y/u0G2P+NS3PEUsERPma2Ezn0wpllIU14rEsxlCIY2wEebDL22hh3U65y32j/qYI5N33jhicFbjtS/eF8ZuJBE1RjLJxIsSsiail5pNZiRyWbYvlNFCGtF4lHy1iB6PBxmZRjJOuyWlt3Q+Ta6UCzoa/Y7Bd986ZTKeEE/FyRQzJDIJ6bhLxAKtlZ98cHDvlNKVy2iaJuW7icX5YY1hZ0hprUD7XPyzti6usbFTBkQ4v7FTwnVdyh//dpo//xOySB/VA5Do2DYRI8J0PGVzb41EKhFkffrGu+++eYTjiLC9Ve9jxAzy6yWJFuqOqe5UqWwUGXaHwhwuHRbWgnwpgzO3iCbj5F/4MBeubJAv59ANg0y5yHwuMVpXntnDXtgBg3r0SNzpP/Txq2ghjfLNmyztJQ/u1qUMHpXu3lwuTnhtR0pqiTipfIZBZ0A4meD5Z9a4dnMLa2bR6UgptHlUI51Ls3F5B03T2LmyyXAwCcxsdy9VuXfrLNgPTRMWLpaM4SwdBoMZmUKGykaR1lmLXClHSA9x+fnL9NsDXNcVUDia8fwH9ug0+ly5sc7ahQ2vqcHh9lvH7F7bDpjhWCJGpz2islEMrjlzZAah5tF4FKVEX6g0RTQeZW7NyRazpLIpMoWMNDyMTPSIsMOZp16UxpKlEyQAzCYzwkaY8Uiu4cV8QXW7SqFaoLpVIlyscnrYZDKesLFTRtMke9Tqddm7vsVnf+oW42abdD7NZDRB0zS2L65Rq42orOeDjtLqZknAedRg0hW/NF+792Q8GU/Gk/HbebyvwZnfSRaOhLn41C6zyYzGWYdusxssRAD14zq5co7uu2/iOm5gmTDqjwACqwylFF/5wkP67T4//cNfZtJqMe4OKG2UqF7Y4OD+ecB6NT0G4ad+5i75co50IUunOQgWQcLSKZfJSI6jDxguXt9mPpvz1PO7xFNSOkvnxUh1ak5xlo4sahequI7LpNPFajUY9UdkihnpavNKp67jMu4L8+XbKrTP2yglPlvzmSy8i7l0g/rZkdF4lNZ5K7BasBe2pAV4mZDOTDyuaictDu6dYs1kfk4Pmyil6Na7QRen67oks+I2n6sUKK/nGQ/GNM87KE3Rb/UZ9UeUN2ShdR3R9FmzBdbMIpaIMh1Pvc5XcfbvtYfky2IREY1HPe1XDyOZZDYyJd2hP+HlZ6rsXdtkcC4ZoYtBn/tvPWJ+dJdeqxcwgNbU4hd+6h1cRywtwkYYzQPXzdMmL334Iqc+IzPuo2nCwvplvZ/7uXvUzodcf2aHrY0MC0sAc7/dp3ZUp3ZwhmXZZHOJoPHj3jtHgIDvaCLKoDMQX7N6l7k1p9fqiS1KJER1u4LrunRrLY736yzm0sQQMUTTeHDQlc7U+ZJOXcT65U0B82trqcCqI5aMkUjGqJ+0yBQzwq460jgSjkhDg1ISr1Ws5EDBsy/tBR5qfvblwlqQKWaC1Axn6RBPxamuCYscS0iKhjkyyVfypLIp2udt2ic1asdNUtkU4UhYOoG9pAFrPGHjxuWgDGxkMoHuL5aM0TjvMuiO2N6UbNRUNkn9RPRxRtRAT8SpH9eJRvXfyK+YJ+PJeDKejPfleF+Ds3hCtGCt8xaPbh3y4ocuMhlPiCXEwPTZly+KONnzm1LlnSCw2uz2A28lPwR9OhHne9e2UbEEsWIRIxkHoP7wmOJaAS2kBbmcvqu/47hBIHksEWM8GBPPpCiUs9x/9yiwjKg9OOL8uIU1tTg77Qddj7WDM4aDKZevbwau7PWTlrBj6xVilTXpAhyauI5LOp8mX84GFhALaxGUX3PlHJqm8fTzomfqt/sUKzkRs9cFbEYM8bRK5VLsXalKp1xETGzNocnG1V3CkTB6WGdtp0quJBmXk06X+XRGebMkXlp7z8P+G1JuBHrNHvVTcd1P5aTcXN6UZgTTA7Vza06mkBEGMZXg/LBGoSKs0dAz6p2MJvTbA7EKmVqUNkpB7FUim2ZqThl2h3zuy0cc79dJVsps71WJZHNcenqP6N4NdF0PPNlCeohENo3jSBZq1PN5W1gC7u/cFkC0vlMhsb4RXBeuI7Ydy8XSsxdR/NxPvk11q4TruLzwAem4xXWJRnVODxqE9BBr22Uc28Z1XQF6RiTQNaKgUM5iRAVcP7pzQjptSBetYZDKpgCYmyb1kya7l6pB9/HxQYuPf/Iaw+6QUX+ENbV49EjKtxeubjHuj+k0elj9nlzXuh40DvhaNJCS4el+DXth8+KlAmvbZfSILgbNlTzJTJJ+S5iqiBFhNp1hDk2O9luB7s8cmAHL5jdWpEsFlFJs7+YJhUPBjUphrYAeNeg2e0Sjsk9za06hmGRtpxLsW66Y5vYdiWGLxeT6m/QHgf4tmUnSbQ9/E75pnox/W4dS6m8qpf7fvw7b3VVKuUqp39S7BaXUH1FKff43cx8eH0qpbaXUWCn1JAT313m8r8HZbDoPwr51I8K9Ow2wZmIuqmu8+8Zh0CQgYd1Vmvfuo2ka4bhkExpxI3BDn5pTsT8YtilUC8QSMbb3qvRbffR4nMVcgMP8+J44rE+tAEyhEIf+j14ikUowNadMTPG8SmWEEbr20lUm4wlaSKO9f4R1dB/XcSlvVem3+7z72iPsuU15U0LAN/eqGDFDGK/hOHCzn5pTGqctMoUM9txm1O5iDkyGDWHNYokob712CMD6dlmE8PdfRY/GyJTy4nrv6YhOjjqEDYlwihgCZJ65LmkFSimxezBEeG5kMkRiUTr1LuFImHwlj371Zex7rxBPxlCawppa0gnY6ArLmIjgOi6DsxqZnLjTT8aTQG+VLWZZLJZBZmLn0QF2p47ZajE92WduzQO9lz0a4DgOWzsFKhtFZpMZszuv4LouoZCU6dqeUanrumxfKImo35WmAXs6JZ6IUj9uMOwOhSn00h+SmSRHdw7AhZk5Y/Dwrjj6e3pGpSne/MIdyltVLu/lcZYO7759Rr6cQ+k60+mCcETE/ZVKEpQWNIl0G10GrR7z+69JBFd7iDWzqGwWKa4XWS5dQrrEKrWPzlmcPQJrSigU4uy4g93vBvmdv/D5BxhxA/Pum6LJm8uxnh02sKYW6XwaI5cTVlgh0V7mjH6rLzYz540g81UpxQ/9szdp1bpMx1MG5w3a5wKul/M5tjVnfTPH5eub6GGdYaePNbXI72ySKWbot/uBcz+I71p5o8jRQYf5bM7CWsiN0NAknU+zvVfh5FASH/KVPP3+lJP7x/SavaCLtnlcI1fKcHrYEI+5eJzF/jtEohExHZ7bv4HfME/Gb8RQSh0qpb7lG7CdfwOouK77J13X/W9+rdt+Mr628+S67rHruknXdZe/Ufv123W8r8GZ64pjeiKdkA41xyFZLhJPxul3huJC7jikMzGMmEHrvEV2dxeQzrrpeEq+nCeWiJEpZNA0yTs01ra5fr1CvpjCcUS07wd4W/0ez/7Obw3ih8yedACW12TBvv+ow6DdI51Lk0qL2/3xgzNCeohHd0+Dfc9srhPdvcpyuWTUH5HKpQLmKhrVyRaznB7U0fUQuWKGUDgsFh9DMzDftRc2iUyC3JqwU1o0SvP2berHDUC69wY9k3gqzs3f83sEAHhh7X6XqJ9LGk/FqaxlWVgLvvAlMTMtr+WwFzbtRo9o3BB2xHPrj8YlDiqVTbHxzd/F2U//qJQBoxG+53c+y3MvX6SyWeJkvy6u+8k0naaUDMORcAB4xv0x5tAkYkTQwzrJ9XX0YpXihW1iW3tUNoqU13JkS1ly25tomsbRfovacZNMPk3+A5/AiBrs3z9Hj+hBaW5yfoLjuLje+UtlkyTyWQbdESE9xAc/dkUAgW0zHowZtAdsX9vlmRdEoJ67eoP17VKQBrC0l8SzGZqPDvn85+5j2zaDWotSKU6unBMhvCWA9t6dGrGkpA7EExGK60U0XSf17EfIFjMYMYNZq0n9REqp6bSB44gBbqKQI7pzhWipzLMvXRDfsEKJfCkTWGuYQ5Pk9edJZpJcuFhk78o6S3tJYa3AqD+iuinM3nw2J56KB6XHncubRNMp4qm45FtWskwGYjSrNEWiVCBXFpY0XcxhJGIcPKxz6419AH7Htz+Ls3To1iVdYX13jclY0hHWdtcwR6b4sCFALRSWazQcCTPsDlkuXdI5MVqOxQ16zR6Zcp5cOSeAvjXASMSZTiwKlTz5Sl66qj/8CbrnLSJGOOhMfTKejN8K4zebeftGjt9Kx/Jvw3hfgzOfNUskY0Tj0cAkdDKeSLelprhyY4ODe6cSl1PJBxYIg3aP8mZJwqHTkn2ZyUt2ozWZ8vnP3ub0sMHRw3OaZ01CeoiZOcPI5Th42AwCshM5Ee33OiOi8Sgnj85B0xi0exw9OKe4VuDCtS2SmSQRI0I6J+DGmlq4jku+kmc6HHPlaoV4Ms7GhSqHd49X2jWg1x6QKWaC417aIn73j9fP78yVc2y/imjRGgABAABJREFU+CyXn9qmvF4gnozRbQgrcuuNfbb2qoFJaDQmZSLXdYMoqdOjFqlcikFnQEgPsVw6ZItZtnbLTMZTlCaZi/bCZtjpy741e5wf1og9/RGm73wB13H51z99l1tvHXNy+xH5Sp5EKkG6kMae2yzn4t+VSCXIlXPkq3kuXa0SCofQw9K0EI6I6erUnNI4a3N22MSe2ww6A5SmGHb6xFNxpuaMcX+MNbUoVgsidFdKOgurG7iuRHVNzSmT8RRcAlDaaonWaffmnpS9NcV0Muft148DzReANZG8VE0TjVqsUKC6WSKRTmCkU7z7xiELS8yNdy+vS/l5YAaaxokprvbf8m03saYWg86QXrNH8dIe2VKWpb3k7dcOSKQSZHIJYfNMiQy7d7sWdCGbYzlHuXwiMKA1omFuvXXM0X6DVC7FzJxJ9NZILC/8eCsBnz363RFrWyUikRCZaonRcIqREFbX6g+wphbm0GRqThkPxkTjUcx2j2RGNIXv3mnI/M1lXwadYWDF0m/3Ka4Vg1K6FtJYLqQRwRya2DOLg3unTCcWo96IQXckkVRLJ0gimM/m6GFdkgAmMzq1DoW1Ap1aB92QsmgsGfuN+4J5Mn7dh1Lqh4Bt4Ee8ctj/w3v8Q0qpLyil+kqpt5RSn3zsNX9EKbWvlBoppQ6UUn9AKXUd+JvAh73t9L3n/l2l1A96P39SKXWqlPozSqmmUqqmlPqjj223oJT6EaXUUCn1ilLqB7/WkqFS6vd4zNJNpZSmlPrPlFKPlFIdpdQ/Ukrlvef55dA/rpQ6Bn7GZ/yUUv+9UqrnHdOnH9t2Rin1d7z9PfP261csGz72Xn9UKXXibftPKqVeVkq97c3tX3/s+ReVUj/j7XNbKfX3lVLZX+o8/RLHEpR7lVJ5b76/29tGUin1UCn1h76WOX0yfvnxvgZntufJ1Kp1GLQHWOMxs8ksYDq65y1GI4tUNkXXy560JhJmjtIYdMVzqdPoA9A878iGNY0bz12gtFYgmUnKQtQekCumWS6WTEYTYdgM0S05SydgCLYvbfA9v/sFkrk0kWiEfmdA/bQdCP2VUsST0om5c2lN2JuZyf17oldKJiMwaAXdd5f28qRz6aA7M5aIoYU0di5WCekhKpUU0ZiBpmksrAXmeEaj1qd2LOL9sBFmNp3hOi7Hj2pB7qPjOBSLiaCjtd/qB/mN2ZIwaP3umF6rR7s1Cgxm/RJhPJ0kk0sQTQiAdBwnsNkIhYSdu/DM5UAXt7SXPPPiLrG0AEIUXLxYoNvo8vBeXcpqnnnp1JxiRMPsXN6kWM1jmSJWd+aWuOJ77JuvpYpExQMtlUuhlBINXVjn7puPgpD5cX+MOZCO18V8wf13D4nGo/Ta8liuJOxXZSOPPbfpNXucHTUpbZRIZVOBqW04Eqbd6JFIJVCaorpVDjRRZ0eiyYqn4ljeuR50Bwxrdb7y6rGUVr3GENd1WVgLBp0B6ztl1jaytBt96ZD0WFwfSE9N6Taez+aMRlI2Nocm9eOm+KJZiyD/Mp1PB+AunZNzZE0tQuEwM3OGaVoM+wIeQ6GQZLOuFcUrcOkEZruljZKU+CPSoZnJJel65ezq5V255m1bzJzHss+9Zo9CMUV5UyxdXNfluec2WYxG5NdLAtxa/SBtYbmUMn0ql5LGiXgUFOxdFpsNpRS9Zo9QOAQKNE0T3d6T8VtmuK77B4Fj4Lu9cthfUkptAD8K/CCQB/5T4J8qpUpKqQTwV4FPu66bAj4CvOm67h3gTwJf9LaT/SXesgpkgA3gjwN/QymV8/72NwDTe84f9v79isMDeH8R+BbXdd8F/m/A9wCfANaBnrftx8cngOvAt3u/fxC4BxSBvwT8HaW8jjb4u4ANXAKeB74N+BNfy749tu3LwO8D/j/Afw58C/AU8O8ppT7hHwrw33n7fB3YAn4AfvHz9MscC95rusAfA/62UqoM/I/Iufp7X8e+Pxm/xHhfgzNNk9xF13GJJqKEjGjgDp/Kpbj09B4n+3UxHjUiJFIxQuEQw/MaelgnlU1htjqY7Q6JdIJcKScLkuNwetRhuXTIF1MkM0kS6QT1kxb2fE51u0wkGmH/9pGYuU6mVDcKDLoDeu0hn/npu8xncxLpBGZvSEgP0do/wrVthr0hg3qLcX/M6WGTTr1D+eolhp0hYSPMcGhhrG3TfHRIqZzi53/ybebWnGtPb9Nr9djeq5BIJdi/dyZu+qc9DEMWr1FfQJQ5NL0ybjtgyVK5lFg13NikUBBQdvvNA9Ie8xeJRiTWymOo/GxRTdNon7exzQmDu28TMSLCkETCnDyqBeHhv+vTTxOJRsi89EkGr/4sZqfHfC5NEvPZHHtuc/9OXaK2un2iMYNabYRtSTelpmnsXd0gVxQ7h0wmyul+jV5rQCgSIZFO8NxHrjM1pRQ97A3J5yUuaWpOqR836D58xHwmXlvjZpu1CxvivXb3FZSm+OAnbgiwTMbRNI3xYMxyKRYfjuPQfXCfXmeMHhGWNaSHCIelAWQyngQlNbPRJBaPMBtPaJ13iCfj1I5qKKW48dyulKkLWWFhzSnJSjnwa1vbLslrJzMmY4nSms1sjvabmEOT5z94iUG7J2xdSKN7JqA9lZHSfbvWJpVLUagWCBthFjOLymYJTdNonbVYWAvK63kBdEuXj7+wiTO3hG3VFJ1ah1QmEegkfbuS689soZSi3+5jdcXRP51Lk8qmqL3zbnDtW8MR3UZXPmfe5+7y0xcY9UfoEZ3GeY/JaEJ1I89yueSVrxygJ5JiyqwUy/mcQrVAPBUXdtZeki+kyBazwY3CW1++z3gwJhQOBd3YmqZR2cg/KWv+9hj/F+DHXNf9Mdd1Hdd1fxJ4FfhO7+8OcFMpFXNdt+a67q2vY9sL4L92XXfhuu6PAWPgqsdE/R7gv3Rdd+K67m3gf/8atvengT8LfNJ13YfeY38S+M9d1z11XddCAM7v/aqy3w+4rmu6ruuHxR65rvu3Pa3W/w6sARWlVMU77j/tPb+JgJzv/TqO+b9xXXfmuu5nEPD5D1zXbbquewZ8DgF8uK770HXdn3Rd13JdtwX8Dwjw+pXGVx9LMLz3/MfAT3vH8X/9Ovb7yfhlxvsanC3tJbNWk+VySTwZJ5aMiUN9NMKg1WM4EAPR5XKJZU443T+nWC0QKxZxXZfWWQstFoephCp36h1KGyWKG2UWc8mRtG2JUQobwirROmKxWJJMRWEx5xMfvwKNfTqtocTyaFJWi6fEUPaply4z7vRIlEsYyTjxVBwiEda2ikzGE7LFLNevlknn02QyMRaLZcBGGUYI5uK+fv/WKeFImF5vEtgZ5Ct5rl2vsn/3BKUUkWgEazxh3hez0Y3dCsVKlqk5ZW7NiUQjHDyo026NiafiuP2WJAF4paJ0Pk22kCIUChFPRpm3aly5sQ7TEQybfPL3fxfW1KJ11iJbSBGJRoQlcV0O6qPAE47Np+D0FnNrQb6cp1DNozTFM89tsrSXrF3cZtAd0m702b22zaJ+zGwy4+y4zdyyKVQLdDoTookoruuSK+cYdAbsP2hSWivQrbWYz+a0W2PshR34iJHKEU2IwzyhEMPeUI6tcpGN3QpvfGWfaEwaQLJFKfvNZ3OcpWgXjeoGV64Ja5PKxEnnUkwnc8obRXAcnnpGPO1wliyXDrRPgsYQGgcks0lq5wNCoRBKKUrrJejVGXu6xHFvyHS6YGJaTEaTAHT40UVu55zDgw6JTIrrT2+BC4lclkw+Q6vWwV7YfNenn2bUH1E/OBOgcnaXxqnYuhgxg63dIuPRjHw5j1LwT3/0HXZvXAj0htIIIB6B4/6YZfOE8WDMwaMW6XyaaDxKtCAl4l6rx6g7YPO5p4PjZj4JNI9za87MnHF21AoYPNd1+ZZPXuF4v87ulU2JCTMkgiliREgXc4TDIgkwu30AolFdEj40Rb6URdN1HFuYaFwCA+Xx2IIn2Oy3w9gB/l2v7Nb3SpTfBKy5rmsiDNCfBGpKqR9VSl37OrbdcV338a6SCZAESoAOnDz2t8d//qXGnwX+huu6p489tgP888f2/Q6wBCq/zLbr/g+u6068H5PetsLIsfrb+1+B8tewb/5oPPbz9Bf5PQmglKoopf6hVzodAv8HwuT9SuNXmqe/BdwE/q7rup2vfbefjF9uvK/BmaZpJNfXyRQydE/rgYDdmlpEYlH67b509HU6hGNRjKjBYm6zmIv1hPI6OTdfeA7XdT0dzSCIr9m5vEGr1qX/8D7903Nc12X9gx8BYDyagRHlzVsN8s9+gN7JGbPJLDDUTKTiRIwID++ekSrmJYXg4hr5UpbyZplsNipNCeaUV768jzky2b97SuusJd2DlTJHhx0S5TLFtSJKkwWqce9hYOjaPG1y6+0z/tJ//DtwHZfSWoFsRcDnqDciFgszHExEl+aVAvWwTrmSIlfMsPbM07TP25Qr6eDYR4MJla0y9eMmmd093vzKQzJbm4QqO3zpCw8lZSCiMxqI4e18Jk79jcaYabdHeT3PxtVdSt/0bbQ+/xnatTZTc0Y8Fef1Vw+DzlgjZlAoZzk/apLauyIxVeaMQXdAt9GlUIgHWjA/7SCdS9Jt9kkXc3zbdzxDvy0lslxJQt/DkTDpnJiUvvixp6h4nmtr1y7hukjp8dEpN567EMRraSEtMOPFhft3RVfVafaZWwsm4wn9zpBQOMxXfuIrTMYTkuvrWLMFqSs3eeqFPRbzBbmbLzDoDGjX2oSNME89s8HUnJK5cp1sOS/HHI/RPG3SrrVJpBPiJ1YQLeGoN4Kc5FLqEZ0Hd2qiNRuZogEMCbj6F//idaz+gEROwtSf/p7vDtIEkpkkt988YDwYU6qkOd8/kwiopMFy1MfsDbEmFoPuWAD7bE75medYzBcM3v4K0XiUm89tB75m2WKWTCnHsDdmbs258dJVMtuS3OCXRTMFiU67cHkNLSQNNf/8n3xJzlkigr2wefbFXUa9EXNr7tmqTInFwhS31lhYC979lz9C81T80U6+8HlCeojSptxYmH1hnseDMc2TptwgPRm/1cZXQ+4T4Idc180+9i/huu5fAHBd9ydc1/1WhF26C/ztX2I7X89oIaXDzcce2/oaXvdtwP9LKfV7vmr/P/1V+x/1mCp/fK37egJYQPGxbaVd133qa3z91zP+W2+/nnZdN40wmOqxv/9S+/xLHovHSP4t4O8B/4FS6tI3aF9/24/3NTiLxSOMB2M6tQ7RbJrTg4ZYC4x6zKczz4Q1w+ZTlwP3fXNkBr5jKLiwV2C5dBn1RlQ3C1j3Xqf75peJJ+PUTyUInWQOI5fDdVxa521yubgsprNJwHoQFR1Z7/CI8djCcVxGpydYA2GUUrkU9998QO1Y9vHOO6cYMSOIfvrOb79JPBVn2W3QPxPfrclows3ntpiMJly+vsF4MMbIFxm0uszGonubTWb8V3/ny3RPzqkfN7GmFtORiLof3TvDnosgPJFOMOqN2NgusH+/RrfZZzKekCvneHD7JCj9TkYTxkOTy09tkckniSVirG/mJbmgnCOViWNNrMBgNpaIsX1xjeZZm7UrF2jVezRORe+mXXoR5+FrhCOidwJhIDXPFPXo1j7ziYjPdy5vEE1EWduSFIKHd84Y1erMzJkwo6k4vdaA9e0S48GYn/6pWywmE0KhEKP+mGxJ/OvatTbz2ZzXv/SA2kmbiCGPOY5LdSNPMpemXhuQyCRwHWnMsBc2sbgRsDfz6Uyuq3on6CLVIzp6Nk+mkKG6UWDYGzK35rTbJuWNErGEdK8WqgUW1oIv/sy7RONR1jelCSWdS1NcK4iuajKSUHprjuM4mO0Oa9vlVXrA/iMA8T7z8jPNdkfYq+45V1+6xvaFMpPRBNMUwJPJp7Ftm0s3ttm9VOV4v4EeidCpd3j39UdEiyX0qEGunGMynuBMxthjyQoN6SGMi8/QrrV5983jQLOXycYxB2bAXB3tN8gWUpTWJIIsnorTPGty4fIa47Ho7sb9MZlykQtXN7n16gOUUrz56gHlzVLQpTsejBkORGM4aTYI7T7N9qUN+UyWdsgUMkzNKbWTFjdevByExfuebU/Gb7nRAPYe+/3/AL5bKfXtSqmQUirqifk3PXbnd3vaMwspSzqPbWdTKfV1XyReOfGfAT+glIp7bNzXIly/BXwHol37Xd5jfxP480qpHQBPK/e7v9598varBnwG+CtKqbTXbHDxMZ3YN3KkkPkceLq/P/tVf//q8/S1jO9HwNsfA/4y8Pe+lmaGJ+NXHu9rcDaZWOQreQprBcKRMPOBdIntPH8TFQqxsbdOr9XHmi0kHHw8EfNP1xV7h7DOK599J4hUatX7lD/8KTI3X8KaWWxdqKCUYuuqCKDXdipoIY1eT0DN1lOXmYwntM/bMJvQ+OLPkagK+zHsDUlvbXPtpasSnxTWiWczwSJTrOakK643xBya/Mi/eksMTJ95mlg+h9Xt4jout985I5qIcnzYprQu1g7xTIr1vQ1wEcPXbIrCzgbJrNgU0DmluFaUx8uZgBUL6SGOD5pMRpPAyDUcCQOQyqZIpBNBskI0qnN8+4CFteDBbWGtzw9rDPtizRGOhIkmonSbXY4f1VgupVFCKSVC87CwKuWPfTvNz/1EkMBgL2x6rT7jwZh0pchTL13GHXYZ9uUcDPsTkpkk2VKWUFKaKnx9k9kf0m7Kcdgn99Gj0hxR9sCCPbe5eH0Lx3HEGV+pVWTRwOT+a3cJR8TTbWEtxEgXyBQznLx7n3gqjj23CYXD5Mt5ti6uU65m6L/ys+TLeapbZRr39zk7amKZ0yBtwhxNaJw0sUzRpYXCYnrbPm9z560DlvaS5sMD+m3xYCtfvhjkvlpTi0SxwPHdQ3YvVckUM6hsiWwxQ3GtgN06Y7lcEsuLkXD++k2a9QGt5iho8pBGDmlYqJ91icfD0qlpiZYOryHDnk5p3b0r10a1QiSTDRpNfBuUi1fXWMwXFApxjh6eB3YYruOSSCc4O6xzfiTge9TpE0/G2b93Tr8zZGpKWPvmToGT/TpGQti32fkx44HoIH3D5GTKYNGuU9jblWNW4jNoxAWgZvJpnKXD7Tf3MYcmiUxCwtDvvP6b9n3zZPy6jf8OYZ/6Sqn/1HXdE+B3Iwt7C2GP/iyyHmnAfwKcA11EE/WnvO38DAKW6kqp9q9iP/4jpFmgDvwQ8A8QAPjLDtd13wJ+JyJ8/zTwPwE/DHxGKTUCvoSI8n+14w8BEeA20lzwTxDW8Bs9/ivgBWCANGT8s6/6+3vO06+0MaXUi8i5+kMe+P2LCFD7z76he/3bdKj3swA3lL/gpj7932DEDJKZBOOBAIdBZ8DelTUOHzUwogYoYSEk50/R7YwDgfJ0PCUUDuEsZUFPZpNMx1OKawVmXqyT67hkcgkO751ixA2sXo/89ib9dl+6HteKZHMC7ga1BtkN6aTsHJ2RrpZZ28zTaY/pNXssj2+TefoDIkY/e8D6hz7KxAucLlYLDLpDxr0hEc/qYm7NiSfjYjVgzTEbTbSE+LclUgnZn4mF2WzCoAHVPcqbZXBh0BELjub+KaGY6PGc8QCVSEuot9d9GI7oNM9aVDbLtOsdKhtFxkNhtErrRRYLmwsX8pjmgndff4QRM8T9f6OEOZowOKuhJ9OkC5Khac9tlKaIp+LMzBmu6zJ6/ecxbnwo6Lqbz+YsBx0yOzts7xapnQ+IJwyOP/uTbH/qW+m1h4waLRLFAvbCJpVLMeqNAsZLaUqO++Aeay++zKgvDKamaYHFyKg/Ip6MM7fm4nrf7gfPmU1mxJNxlsulZ2IbQmmKiCFsrBEzmI6nFKp5eq2+dHJulphO5Lpp3b2Lnq8EgvXZREq3/YMDYtV1yYHMpRh6NhGJVILu3Vtkr1yXruGZxaXrWxL63jmF/Dr5jQrdwxNUXGxXjJhBLBkjGg3TOBNGsLhWpNvsYp89gvKOGCx71h2L5hnJHckWnd3+ComnP0w0EQ3c/v1Svt8ZWSqneHjnNLCv0EIa8ZRca67jMjWnFKoF9LBONKpzdtgIfN+UpsgWMuTzMfbv1wnpoaDMPewOpbt1OoVwhPJWOSjNGjHjPWH248GY689eoFEfCNNdSNM6F5YwmogST0Q5efsOobQ01BWqBY7/2u96zXXdl36Tv36ejN/iQyn1F4Gq67pfU9fmk/Fk/EaO9zVzFtKlS3HYHdI8bVFZzwULw+GjBrjQPTmne3jC3pV1zo6aHO/XBRh54nXf4T8cCZMupMkVUmRLWdr1jueHNiCejHF22ABH/MV2nr4iC38qztbFDRbzBSf7dZbLJdtPXcR1ZLHPblSlvHjnlKvXyuxcXid84Saj/kgWnks3GXSG6GGddC6NbS+lNLZeEqNQzzZAaUqO1YVYsSimuPFo4GBv9vpEsjnC21dhucQcmFgzK9DfKcMgW8rizGZEcgVSWbEumIwmwdxF41Gs2ZxMPsPxQzHNnU9naJpi0B5w6+1THt494+L1baKxKHpYAB3A9s3L4lo/MLlyrYoe1nn+xR0xzPXAj5/FaY0nFCo5lmcP0HNFcOHkqEP73j3ODxtsffJbGfZNiXlar2DEjSAVIV/J87EP7jI1p+i6RG5VXxCWEwSAA0QT0cDZf/D2lylUcnQb3cBzLRwJsxiNmIwnQWdrsZLBmlrvyVtVmiKbjUlnby7F2UGNbC5BxAiT2NzGcZzAJkQpMdS98uHnyRQyXhfpjJk5IxqLspgvqDz7nDRtzFbC9kw5T+m5l0BpjPtjrn3wJrtXNqVztzskFNIY9MY4S4fiumgPNU1j/QMfIlvMkkjGSKQl5D6+uYse1oUxvPEBlCZykctPbZPMJunUO16gepJRf0SrOUILaeTLWRLpBJXNEulsAnNocvHqGol0gkFnQDYbo9cWkFndKGDEDMyzU1Ipg/u3TimtSSOG7xloxA3Km2WuvSRh86lUVOK/htLA4WvIfFuZ0chi0B6wuVNibtlkS1mK1Ryd8xYnD07Ye/GpJ12aT8av+1BKXVNKPaNkfACx2vjnv9n79WQ8Gb/YeF+DM6UUiVSCVC7FxoUqzXqfdD7NfDbnxtOb0rmZTqOnMzQb4lyezqVJpBI4jkMqmyKZTXLh6ib5chZzaNLvjmmft7lweZ1YQhbmTqMrfmdRyWTsNPt86JuuEIlGqJ80JVzb005pmnhbLeYLEc+HdULhEHdu1amdtMkWs+KEn0kGWp7ZZEY8YYj+yZa4ndlkhh4Ru49wOES/1Q9KfOPBmGQmGRiWXn/xClt7VZKZJEYiLt5V5UwQy+Q6Lv1Wn6svXqG8UfQCx2OU1ovoEdE0jZttCVSPhokn40zGE4obZbqtPtlSllI1x8Wr6ySTES5fqwIQCoUYdoecPDoXby1zwrtvHhNPxbl3r0UoFCIajwYgmp1n4OhtphMLY/c6F65srAxfIzGypSwn948Zdodi9JoSfZvrSlh6/bjOG7cbXLy6ztyak6/kaZ21KJXTLKwFqWyKfqsfMFNKKaheZLl0MWIG/VYfe2Fz4WKRj3z7CyTSCeLJuEQTDaasb0s4ux9AH41HOTvpiGdeo0u2lKXXHTPsjZiZM3LlHNFYlKk55cKVdeKpOEePaoS8UPX1zRypXEr0abM5nVoHc2hy+cYW6UKabtdk1BsRT0ipOp1PUzvr0qx1xYQ4ESWTiWIOzSCCbDwYozRF61y88wZdAU17l6sBcHOWkiGaL0lIe6kYD+K52mdNJh6z2K61WdpLTvfPiSVjTCcWnWafD37sGkf7LRbzBbuX12m3Rpgjk0K1wNHDc3rHp1RuXKN22sV1XeqnbayJRWWjQO24iR6WwPbhcCbO/20BgU+/fDlg15KZJFeurwmj6aUKnBw2mVti2gtQ2VkjVynQbY9wZjMBkoXEb/j3zNczlFLfoZS655ltPinf/Ns1UkgpzwT+T+CvAP/yN3WPnown45cY7+uypl7Yc5Of/q8pVPLUjupEohESqURQAowlYlJSSicIhULUDmvoEV1KmK7LzuUNDt+4TW53R7y4FrbEEnmGo1NzSiKdYDKasFwuxc1/PCUcCRNPxek2ulQ2S7Rq4nUVT0YZ9UWM77/vd3/bDf7B3/88lYtb7O3lefv1Y1K5FL1WD2tiUVwvMugMAhG2vbBJpOLE42HOjlpBXE8kGhEQOJP8xFFv1WiwtVNkMplzetCgtF7k/LDGt33HM3zucw9QmkIphbN0KK3l6bYGLO0lk+GYSCxKoVqgdd4CV5hIv2kiFJI4LC0kofEhXZzvtZAWmNU6SycIMQ9HJFrHdV3Mbp+1i9sAaJqi1+rjui6FSk4AwBd+iszLn2RhLahuFmjV++/RiSUyCbqNLrY1J1PKETEiwspkk/SaPRJpMVZ9vEtx0JHjiiVjQS5oOp8mFNI4Ozhn48I6jZMmkWgkKK2NGi3S1bKYoUbC4o82GBNPxrl8fY3jwy7D7pBEJsG4PxZ920aJ1rlkmDqOIxq28YTtSxv0OyOx70hIdFN5s0yn3iHt6admk1mQ/OBbn0xGk0D/OB6MpWtY14lEI2zslKifddHDOlNzKhYfnmGrUorJ/h0Kz7zA9k6ebneKrms0az1GPWFmZ+aMynaFbqNLNB5l1Oywe3NPOmRzYpnSqXfIV/LMrTnZfIqzQylRWlML7IVkW9aOCK/tUFov0jwT246NnTKDvti6zCYz7Lkt8oJsMng/13HRIwLU/OxMP2bNOrwLlQvkSjmS6Tj1kya5Uo5wRKdx2gzyaf3r8+kXLvDmVx6ih3VG//APvy/Lmp7Q+T7wrcAp8ArwfZ5n1pPxZDwZT8Y3bLyvmbOIESYaj3J+9xHJTJIXP3hRHOGtOeX1IrFEDLPbp1Pr0G12A72S4zgkM0latR7rT12VjSnEGd9nchSBNUA0EQ20PYm0gD/fMuF0/5xcKYc5NOk0ehheBmU0HkXTNP7xv3idcDJBr9nj3t0G5kA69RbWQjzPgEvXN7EXNlvbOZylQyikGI/nTMYCCm3bZtQfYS9s1ncqgaYqnU+TSMV59+df4/D+GXNrztnBuTBChs5sMpNGiJEEjR999qeCUPBoMk5xrUC71gZXSoG5co7diyX0sM7N53dY2kv+4z/0QcKRMIWy2FXkK/nAGb9QLTC35kGupK+TWr+0zbAn4d62Z346n805/cLnpZvv5U8yeOVnmVtz6qdie6PrUo7LlTI0j2rYc5vihnQkTkYTwkY4YBq1kMb1Z7Yxh2YAPGMJST2YTWZB80H7vE3jpMmnv/M5rl4q4LpukF86arQgEmV4XgtKm85Smr4cx+HtV/clZiqdwF4I8FgM+gBs7FZIeKawk+EYlkvGwymj/ohMPsP1pzdJ5VJkMlJ69o9B0zQB+OaUQa3BqD8KgOGo0ZJszVSCWFKyXh+8fo9kJkmv1RNjXi+X01k6JLNJMteeYTaZ8caXH9DvjOi0PF83V0qt2VKWSEQXi4xnN8lUS5wdNnBdl3Ff7DRy5Zxc8y4ohTQpeCXkSCIhBsy7lwlHwjRPW2xeqKJpGvtfeo3JaMKgKY0relgPdHr+zRAKcOGjH79Gtphl3m4QS4inXub6c+xekeu+dtzAXtgUiqIbTWaSQRdp7ahGIpXg9tvHQU7q+3h8AHjouu6+67pz4B8iwvYn48l4Mp6Mb+h4f4OziMS56Mk0mqbx5c/dA/Bic0Y0ThqgNFnUogYvvXwBI2ZQ3ijjLB0W8wWmF8UUS8RonDSYHD9i2OowM2c8/cIFiZmxl1K2G44kN1CTsHVc+Mgnrwcu+WtbRTq1DuGIeG+NB2PsuU0ykwSgW+9CY19E/qk4k0e3mE1mPLp7Rq6Y4eiww7DV4XS/hjWzyOQzGNEIWxeqrG1XvK420RGNDx+t8g0LZZyDt+DsHtliFk3T+NefuYUzkQXYWSzIV/IYl54lW8wyPbjrNU5INmIym2Rmzqi/8TqzmY2madx665h0Ps1f+wevEdJDFApiFdKpd4Q16Y4YdAdEjIgA3qWDHtG5eq1CJCImrKl0nMajE0KhEMtBB33rCtsXqyysBfrVl7HvvcLUnKJpGsWKMHC99oBMOc/TL12k/fqXSKQTrG2JD2K71iadl4zOW28eopQKLFFc1+Wp53bRdRG3x5KSBlFYK/Dqm2e8e6chViUe21je26a4XkRPZfjgx64FgMcHD8V1MQn2TYV3LlZIViu0ztt020OGnSGz8YRw1CBTEh+zUEisTR7crRMxIhzcP5c8V2shDNLJAdbUYjE2IRIlV8pJFuxoAkqjulmQTM57b9M4aRCKJ1jaS/aubTHq9Bl0BtTfeF087u4/YjaZYUSNICPVXtgM2gNiqQSLQV/Y1aXD6OSYd986lbJ7SGMxnQXs8nQ8pbKW5dLVCqcHdZSmuHTzArG4mBObQzMwp82Vc2xtZsRoOFUQo92tKuFIOGgS0TS5obEXNubpMYN6i8999rbo9y5cYDGX8nM6l6R23GJ0+3Xy5TzXntnl0d0zJmMBskpTJDNJ0rm0yASsBflq/j25p+/DscF7DTlPvceejCfjyXgyvqHjfZ0yb5pzIp67+6AzAAXjwZjiWlFAieNgJOPk8knOjpq8+soBi7nokaypRSQaYWunyMlhG2tmsbazRiusgwv5Sp63X92XMt9gRDhqkCjmuHxtjYf36gyOT4iVK5ycDAgbUtKzbWEsMsUMtSPP8PnobZzix0jlUtKhmHqGSaeLFosTvXCdRDpBJp9G0xS6roMS4Oe7o8+tBY2TpmRkjkyyFbENcda2ad9/QKy6LsLqpz4YgJWQHsJ1XIhEyRYyzGdz+u0+i/mCTr0D+XUJ614uWdsq0e+OQUHq4lX2trKcHbfZuVjh8GGdcERyEI8OO/QePiCxtUPtRGKhCpU854c1id7pS/TOK194gG3N2b22zflRE0IhtnaLnGoKXDg7alHdLFA/7bC8+ALuo9fhpU/Sqvf5Pd/zInePety/dcKdt4+geikoocZTEtAdDktXZWWzTPOsRb6Sl/xFPUSzKY0QTz1/geODdiC67za60sEKRIwI5tAklU0J45aMcXQkmZbmyETXdUobJWqPjkFJwPiHPnKZz//sHZbNEzJXrqNpGrZt883f8Szv3GoE7KEf7l6qZgmFJE7JHJpkinIOitdviH5sq8p0PGXo2aiEI2FSZSnv2gsbbe0iuXKOcV/KnGdHTdCEtWyaE2KJGNGS+JXNLWlmWdvIcX4qsUv+9ZMvpRmPZmw/f5NOo080Lo0JDNs42QpWr0fh2kXOTzpBWVfTNJZLh6nX0Tmfzam9+mXyN59j0Blwdh6Vc5GIMewOgzQMc2gGxrq+jrF68ymsqUWv1WNhLYJIMD2sY47l8xm99DTNO3dwrl6VDtvDR2QuXubi5TKHB52gK9kvq2/slldW6v+WDqXUvw/8+wCJRPzFa1euyB+cpfyvaeC6BNSjvGj1uy81UV997+y9xsuu9Z4k/9lz0CSXVp7qUaVf/fPj23GW8h6Kx7arVs9xHO/vCtzHzIGVttoGrvfjY69bLiEU8rbn7Y/jvHffXHc1D+qx4/a35W8v2Edv//z387flLOVnxwEt9N65+er9V189N4+fg1/s+N2vep/Q6mfXlWP0X+e/r1Iry1b38X1Sq33F3x/1b85d8Ls3//62df29z3Wd1e4H185XnVuU93ftsf1/7Lj868z///Hz459HLfTe8+Q63nYfu3aD8xt67/aCOdD+zef5xx+Mr5p/112ds8fn4xedP947b+/x1eUX2WcFSxtC+nufo9S/+R6uu5q3x9/38fcIri15zuHRMe1O56t24usf72vNmZbbdbf+0F+jeVznwvUdDm4fEo5FxfNsNmf70hr7d04orhfpt8QDLZ1PBzqZiBEJfMKGXTHk9G0VfM8wpUn4cnmzLLmDJ4+49js+xqO7p7iuS76cp3lSJ1MSH6pQKIQW0oKg6uJ6MTBgHXQHQS5lOm1QLMZ59KhLv90nW8yyvp7i5LgvQKp2hCpuUNookc8n6PenuK4r4dc9EVj7IeiO4wT+UfXjOhzfIvvCRyUc3AizWNgsrAVTc0rEiARB2k6nRvXZZ+m1emJdEI/Sa/aIJWN89CMX+czf/3GiW3vMmnUSaxvShVfJcPeNh+TXS2I1UcmxWCwxhyaXrlZ5eK8u7FD9mNTeFdFRDbs8/cmXODmSEubSlkXI1yENXv1Z1j71nSzmC2Jxg+a5OOi7jkvv6BijIJ5tC2vBYi7H4TYOIb9OYbNKJhtn/427fOTTL/Pmq4dS2q6fEN3YkZJhfyQ5pwOT8maZeCLC6UGddD5Nt9ElYohnZTwVl5KzlzWqh3VCoRCDZpuQIfq8UX/EdDBk+9oux2/eIpQpkEgn2Ltc5sHdGvlSlvpJE0D0aLUzSGSIJuNcvr7B+ZkAwWlvQLpSDKxfZpMZrjmkePFC0Jk4Hoyxjh9Qfv4lmifNQGNXWi/iOC6deod5u0HlxjUmowlrmwXqZ13GgzEbF9akXDgcoOIeA9Vsk8hnAYJOTMucEk8nUZqivJbHsmy6TbkerKkVaOSSmSTJlMH+l9+gdP06g84giGWyphZzay5ZtUOTbClLt9ENrs9BrUVuo0Iml6DTHLC2WeDsqIX54B1iF58Sb7StHG/93BuUL18U0+ClQ64serStrQyvfUmYYvP+W8y++Bfer5qzDyM5g9/u/f7nAFzX/e9+qde89Nwz7iuf+ywoDaVpuEv73/xy9xek+VS+5O15sKCpaBLXWcpjAOGoLLRLGxWJ4s5nyF3eDJUUOxLXXniAZSmAbTGDsCELT0iH+RRlxHGHHYinZLuhcLBg+fnFwYK+XMi+RVPyXt5ir0J6IDFw7QVKD+Pac5gMwYivwGgkJtsIheU1ww54+4pjo3T5fAbHonmLpuvAciFzsLTld/+YHp+zkA5zCxIZsCayb/G0HMNi9l6ApIXAXsh8DFqQyoPryr4v7RUYnAwhHPHm25bXhw2UFsKdjXFufwnt6Y9525uDOYBMSY7PXoAWkvPtunLsjreoh8R3Ensu23sMoLjzmbyX4TXFmAMIR3A+8/fRfuefgFEHUgV5PJ6G2Vjm1p6DEZfzMJ/J70pBJIbbOkaVd5n8we8i/r/9U5jP5HjTBTlXmg6WKefLB9OzMYQNnNc+Q+hD3+3NoyXzPBvLtqNJuV60EDhL3F4dlauCHpHnjnuQLsq+uI53TK6cn7CB89l/hPap3yfz3jkTpj4SlX0KheV9vOuCkC7zN5+g4hnc+VTOkz+n4aic55AenKcAsfnXlNJkrvxrcjGDSAzlAUrXWcq+6ZHVdmZjiKXlPC4sVFi+n3FdecxZyvXQPoH8huzLfMrLv+PTvPrGm7+1wVm0etlNfecPBt182WI20GaFQiG2LpQ5eHDOfDYPviRK6yX0cIhIJMTRgzPplhyOyJSLDHtDqttVWViSMSJGhHBEZ9QfE01EaZ40qe5Ug+2ZQ5NL1zd5dPcMazLlxguXGAxmzK0F4YiObS8ZdAbBAhaNRwkbYey5HWij5tMZuUoh6LTrt8WTStd1EpmV8D0aFc1V81wsPsKRcLCALe2lxOl4jJk5NMWqIxmndd4KPLwKlTxza4FSilg8Qr8zAiXRQU6nBqk8ubUyo/6IdC7NsDskX5EIpMV8Qa6UC8pKo/4o6MScz0RvFgqHmI6ngY+Y4zjsXN5g2J+ghTTa9+5BJEaiXELXdYqVDK16n0Q6Qe2zP0biuW8iX8oyHk5IpuPMpnN6rR6VzTK9Vj/IaUxmkqQzMcZji1FvREgPoWka2UJKynh9U+YwrNN87UtEdq4J4DIigS+ZvZDyba6Y4vDOEVtXtjk/rEvguKa9x7Q4V0xxelDnAx+9wjtvnhA2wiwXklrw1LUSX/iFh0w6XcKpFDkPpM8mswD8+Xo5INCM3Xx2k7ffOAZXQKE1tbyuzw1OD5tEE9Gg03a5XJLOpTFHJrhimuvP83gwJqSHWMwXFNfkGtZ1PQBOk/EkOP9+6dl1BOT75fV4Ms7Qy/9MZpIiuu/J5+jqzS3Oz/okUzHqJy2S2WSwXXMg5rAzc8b2xSoPbh2RL+fpnjd49sPXOT7s0G/3uXh9m9pJG8dxWNsq0uuM5UbG84LrtfpMOx02b1yicdoKGiWUkiSJSDQS6P/MoUn7//u971dwpiMNAd8MnCENAb//lwvmfumF591XP/+zuJOhLGjqsbv26dBbbLxFeW4JQxJLrwCSB2oY92RBNvuQzAsoCRvgOig9slooZmNZrHwWYz6VRWk6kscM0cGuFhhHFlA9Iot0SEdFpPTv2nNZ1Ja2t+DhGUY78lyloaKJ1XM1nYBNcZaPMYUhWUj1sOzj48DPdeXYZ6a8RyT2XubFZyxmY9zzR6jKjgC7xQwVieHOZ6tFHVbAbTqUbeEBssVMAKkH2FQkhmv2BTQsFyhvXlyzjztooap7BAB6MYNwlP2XP8DeK19eAeiQLsfjA1PXlfn2AUokKnPnA0MfbHgARGka7nyGc/fLaDc/Ju+jNNA0Oac+8PWBQjQpxxUKy/P0yHuZtPnssfPrM50+A2kLKI1EV0yasxTAMe7LdZbIeIygd1z+efavp2Fb5t6/tpQSQGPEYTKAeEauMyPuXTfetTtoCgj2gakP9JR6DBw5ci2HdPlZSaObOxnKPvuv9T87/jXi2MF59wET9kKuCdeFUVc+N44t14azDG5qVCQqz5+MUMmsdwMgQF2u6cXqZmU+wz2+g3bpefm8hvQV8PfOh/JuqF76pk/y6utv/JrB2ftac+Z/RKdjYZW6ja4nKs+RSCfYv3cm+ZuZJE+/eJGcVwoyRxN6nVHAzoTjsji5tk3rXBag2WRGv92nXe+QyaeYmTNiyRjt8zZKU4z6I+a9Du32mEg0QnGjjOO4hMMak9GEUX9MKBTi+Zf3ArH0crkkFJLAaM2zW0gXsiilWNpLRv0RyUyS9e0ytm1jDkwJzO6PadW6tBvSqWjEDBbzBcls0jseMyiBWTOxnghHwhhGSKKFkitLEL/ce/TglEGzjT0Xrze9vIGRTDIejNm9vEGxnMa2LMyRyWQ4JhwJU6nKXXQqI8L1dC4VhGD74NJe2GzuynuGQiHaDcm/jCcM9HyF4oXtwFl//+4J3/bJK9LZ+tw3Yb75eaLRVddipy5h3+1aR7RpIQ0jZpDNxdm/e8K4P+bi1TXxo+sMmJgW04nYkfjB3MaF65Q3igLWInLH3TtrBN2T3dYQzD6WteD3/7sveWyjlD7thY1t21jWEtuccOttAfOj3kgsJI7rvPn2Oel8Gi0WD0CL36nbb0kX6taFKkbUoLxeAFeu11tvn0nJ2JyurmfXZf/uKculLFoLa0F1q0Q6nxYWbSCMaTJpsLFdJBKNEEuKuXA6J/mo4UiYWDLGhYslbNsWw9eITmUtGwBp347DB4pPXy+xsBYYUYNOvcPCWgRB6Za15PKVMuZYOk2raxmG3SG4EEtKaVMLaRw9rJEr5YjGDS4+fZFH9+sBQDx8cEbYkNSCw/tnQdj8uNOjU+9K3upszOn+ORFDupKr21XS+TTrO+UATPfbfWk0eJ8OL1D7PwJ+Agm7/ke/HDALXmcvcFsn8uXtl7rsOcQ8dse2IBKXMlkkBuOegCyz77+xLJzggSRXFublApTHztiL1XOVwj14S24YQmF5LJaS5y8XYM8DNgDXQUWi8lqlgS4gzJ2ZLP/a96NCOuhhWXRdRxYwXFmwwwauI53xwYKvNI+tQECeHpF9COmyKPtjacs/x35ssdegcybzYc9l8fMBjxZCbV0VNst1IOwtvq4jC6ymCwPng5VoSrYX0mV7IQ88eUDUdRxUIovSwwLa7LnMeSQmwMxeQL8Bs7EH3Fz2fuHnBEx0zsB1cU/vy3tpIdxxzwMdwg6qaGI1J67HWLqOHLM//x5bE3rmE8GcOvdfle05S5gMBKjMxqhYalViC0flnA3Fh5LFTMBvJLo6x64bAB9wV2zmbIzbOIDpGKyJbN+f01BY/s1ncp5tS95LD8u8pfLy/mY/uMlwj27JfvnMm+4xsINmMPcqV10B8elI9n3UgflU5n1pyzHY8wCksVwI4I5EASUg0S91+oyoZeJ2a3LeXSeYK5TCXdo4t7/oMaMOzk//n3ID4JcyvZsNuWaFOVMhHefOl1aeix6AdecCwtT2dXkPXc4xmncjM119Vt1vYDbw+xqcLawF43qDsBHm4x8X37HZZEbrrEW3KezX+rZEHr3zygPpKIxGgq68TD5NeaOIFtKkE6xSYPNCVewUUnHWtsvoYZ1ee0A6l0TTNAnFvv0uxbUiWjJD87RJLBnjwy9tcfSozuFb97h0TSJwag+OODjosnepJAuQC83942BRNg8fksyI6HvUEyYqkYpz8PYDssUsruuiaRpbF2Q/StUc7bt3mU1mpLKpwC/KdSQyqHveYjKakM6nuXG9wsScUy4nGHaHjJttNncrjFuyGJbWS6xd3CYSjbC2XZEGB6QU1++ZjMcWiawIwdcubBCOhDl81GQ8GHP84IxYMsbS89Man5+LANyz/DBNSTUIhUMUK1kW1oLjz/4kazsV2qeNoCsznopz96hHLG6QL2W5/N3fw4Mf+RfEU3FatQ5KKSpbFazhCE3TAnf/4/06uXIOPazzzo9/lt3L64H2zO/gHPVHTEYT9q6sUy4nyJfzmG3RpiWKEpsUS3ri/6tXuXGtzD/8Z68T0kNiSDsYkM6lVzqphKQJ5AtJYZo6/cDSpH5Ul2gq22Z8722J5RqMufzUFrlSjofv7Et01utvs7lTIJaMkcomyXjXVOut14IUAbu2L/KJpfOeHEmlKRJFsRXZ/8JXuPtzX6LX7BFPxYNyZ+3VL+MsHdoP93njhz8j10IuTTgS5sGtY3r1tjSrlL3yluOihTQ+97kHzAd9rlxfI1vMYo7E+mLa6XD0qMadW+ekMzHsQZe7bx+RL2eFmfVYt+l4KqXk2Zxk0uDRO4+wvVL60l6SK+UkOaA3JJVNEdJDpHIp8hsVktkkRsxg7dln2bq4QbaYCewzrt1Y4+DNu3QfPpAbD69B4/08XNf9Mdd1r7iue9F13T//K77AW5xVrvqekghKySKtlAckPGZF0wWIReJyx+8t5AH74pc1NQ9IKbHCCZiCaBKUhrb3XMDoBAxWNCkL1NIOFhz8xREEUAyaOMd3wIgT+r//BWGXfHDn64L8cpJSsoCDt1iJlsg5eFtA42Qgz18u5O/LBW7rWNiWkC7AzC9hxdPyeq805p7eFVDks3ZhY3X89kLmVCmPsQgFTJHymUmQ7XqLPs5S2EePFfJZDtdZ4s5MAS+jrpyDYUdARroAjiNz5bGE7syUBT9soDavSolN2uEFFHnMoGsvVuzh0pZ99MrKKpbC7Tfkd0NuvpQWAtsidPObPAC3gHhG9jMSEyBtW6hocjXn2YqAFj0C464HPjxwpBT9T3+cgOJI5uU8xDOo8q5cY/72tZCUS+25lA6jCTlfHqh2O2era1kpORcea6Q2LgvL5QNjR4AV2QqYg4CFVVoI5hPwyvQqW8FtHK22a/ZXzKLPyGm6AH1fA+afT9eRa8NIoPLrAbBSmuaV3oHlAu3Sc8ENivbtf9BjBh1h45YLOfe1fQGWSxt3Nka7/iH5TPjlUZ/lBbkmvBK362nnXNcVAJnIeOdRW835r3G8r8uaofwFt/R7/zKDzoB8JU+30cWIGSRSUg7UwzqDR/cJVza9Lz5AQTwZD3RnQOAdtblbod0cMDNngcg5logxaLZJlyRGaDIcw3zGxvVLDHujIBpo3B+TyIgg2lk6mIMR+aqUmZKZZNCV6CydgMHwg5x90017YUsW4WTGjWe2ePfNI559cZc3vrKPnxM56osh58VnL3F4/ywAmz7FbU2mxFKJID1g5/IG/e6Y3qOHEApjFEpceWqTR/dqzK05ruMG0Uj+tuIpMS31z30kGqG8luPsqInm6SQqG0V67aFkWnbq6MVqADrDkTCFaoFuQ0xKk5kkqUycYd9k2B1SXC/SPKqRKYtvnNLEKd4HxYNXfpbozQ9LSc9eYs/nRJPxQEvo22n0T89haaNn82zsVrFth8XCFo+06RQjlcSIShehNbOwZxaV3XUaJw0JEXfBPr2PsXsdazIF1yUUiUhH49gknhdrlVgiRjqXpFXrYE0syltlxv1xECvVuf0uqb0rTMdTafyw5phDk7UdyVn1RfC2OSZeyAuQOX3I5U9+jGatjx7R6Zw1SWTTLOYLaWSJijnxsy/v8fo//KdUPvataJoWBLUP2z3imZTkkObiHD44F9+5YobOwTHZLTH4tRc2y8USu9tAy4pNihbSmPX6RNJpHMcJ2KpINCI+ZB6rqEf0IHTccRz6rT7L6ZREMSeB9NaMaDrFrNdHTyRZLpeUNkpomhaURROZBN3zFtGUlD+vPL1LqyH5qMOupGNMRhMyxQzZfIr6SQvXdVnMF2xf2uDo1j44NoXdLcaDMTef2+EX/uzH35dlzV/NCMqafonKL6eYfYgmZRGE4O9AoFnCWa4YF6XJQuzpZN5TBvI0QYEGTffKXn7JMBCVRwi+JC1TSno+07S0ZRGcixbHf1wphWtNZPHMVoQd0kKsmhVcYYs8tkI0V/MVgPOA0+OlV/A0Psii7evJfO3Z4/MhTIR3fEZc5i3mlanmUzkGLSSLeSTqlRnn7y0LBiUsR4CN46zA3tKW0p499xg8BbPRartLe6VHs+deqZSAJQx0hD441CPeOYgE5y0AgvbCA7Xe3PmlO9cN3ic4/nFPyoS2BXrEO+ePlex8lrJzuio1hsKr68ZnaD3w7o57qGRuVf72S5a+DstnGf1z7gPcheWVmj29n1eOfXwEbJdfyoQV0OrVZP/8mwpf4G8OIBoX1kkPr+bVL8cubVjMRRPpnxtfrO9fy8tFUM58z/4sbbkeoknAXZXS/WHPcU/uoLaue8zsDCLGap6HHQHbIGDa/4x6TRZ+OdrXEK6AvszRy5/4lm+I5ux9zZyBy8JakMwkGfVGVLYqAMwmM557aYepOaX01E2xdcimCIXF4sGaSTSP/+GcmdIc8Oj2sejD+j3iyRjReBQjLr5dU3PKpH5Ofq0ISmPYGwUCe7/zMZdPsndZWKjtK1tBmcnXO8VTcbSQt8AevC1NC7tScvO1Pv5F8uYrj9A0jUcP20FZZ/eisIDFnXVs2+HSjS32rqxhDQaBz1e+WiRfzgV+ZsViXIBZNAXxtHS9mQIoE6kEYUM+8HpEBOCVzWIQfeT7bS3tJcVigguX15l2e2QKGZrnHVIe64EhAdfJTJLNvXWuPLUFwOUbmwHj1WtLMPbWxXW6jS5oIbZ3i9KNl06QTMepbArDGL35YWbvfpHFfEG2lBXq2BV/OoB8Sco9l164DmHR1nWafVrnbTRN48KVDdYubmONxly5vsanPnFFLDKWwlDuXN7EnkopPHHlaWLJGPm1Ir/3936QZDYp5ykaDcCzFtLod4ZYE0tSApo9wp7Hnuu4GOu7JDNJbNum1+phDkyYSTSWD3g296qgh0mkE5TWixSfeYGzoxahcEhMjTMpEplE0PkJEmrfak1IPfdRGm++Qf1YIsLMoQmuw9yaY9s2hw/OUZpCj+jSfBJNoIU0di9WeOrZbdKFNHqhQjqfJpVLCZuczZAtZSUgfWGTzqeZDMeU13KibQOs0ZhsQawz/Fi0577pBvlSluWoz1MvX5V5DYWwJ6KPy2bjYkrrlZa7R6dkK+Ixp4U0+r0Jk/GE9lmTbElK+pXtikSOWXaQJ5rOpzl6+57XheZK6VwpOp3Jb+QXzK//cB0BC/6C5y/A8YyUX/y7csBdWCuQoJQAkMcAjeipHvvKXi6EBZgMpETk6WlYesAFVvqkoMTlMRA+k7FcrIDBsL1qAHCWMB3J/oV0YVaUtgJ9fklt2JFjnI6CEqvzxs8EeiafVXFnY+CxRd9eeAyEaM+UHpHyr+MEpSHXZ55cV4CZs5R584/DSIAlTHqwsNoivnfthQfMpuCBq2AR1yMCCrwyoc+C0DlD6vlpWZAf0x+J0Fzm1nntM8K0LWbBOR78zm9e6aK8sm5QvrQmsl8g58VvmvB1cq4Dk6GU+CZDj43xQJNuCKvjAxvvevIBtirKdzHhaHBNBCXEYVteOx1JCdNeSMmyV1+VzJXyWDBNgJjrek0rWtBUwHwiJV6/ceOxEl5QxltY0mgSNmQe2idyfNHkCjAuF9h/5vvk+pyNhalM5lbauVHHu0nQhRnT9ceaZBZynfvz5Zc3h+3gM+S6roDa+dQrszryuZhJCZdhOzhGtfuM7CsIo6ZHZG7mM0jmvM+RfA5ce7GaE8SIHT28Yp5HXSmTa94N1G8H5ixSvuSGPvbniCWkfHl+3Ar8loyYQfvoHJYLjFyeXDnHdDyVmBpzijW1qG4WaZx12N6rMJksaJy2mJ/tg7MkefmpoNTXPG2SKWQCs07z5IDMxcvMZ3MyBclk9F3yp+MpekSnvF6kedZmbklYtVIKc2hi1s4oX70iP9/6CvrFZz1mKUH9pInruEQTsujny1ksayFeXi5Bmavb6LJsHBGq7ATaoGmjBguL4o2ngv0c1BoUdzcltqjf5sVv/QBvvbKP3TgmsXuZ7b0yD26dkK/msecSW5Qv52ietdi+uMZwMKVda3Ppxjbnx23JIbXmROPiPu87209P9olt7TE1p+xc3uR0v0Y0ISa8o1qdUDLNcmKSWa+QSMU53z+juFGm/fqXoHopKFF26lLK9EOxnYevoV95mcpWmVgszMPX75AoiQarXWsT0kPM6mfE1jbZvVTleL+JOZRmgEwhQyIVY9gfCzNTEBF9aS2HZS1JJiPM5/Kh1XWNxnlXQHpUfN/MgQmKIJ2gvFkOkh9eeGmXz/3MLUKhUKCty+STlMtJDvbbksvpne/13SquC91mj+nDd9j9xCc5/MrrbDz/HN1mL8h2tRc2H/nkdd5+44TRG5+D3edY210Tu43+CKwp0UKB2cEdCs++ROfObchVKK2XAkBvDk02d8s06+Jxlq/kxQB3MJJYr7AemPCGI8JmxJIxaS4IiVYymUmSyiaYTqyAOfY1kclMgvHQlDkOhahulTDHs0DzmcwmWVgLtncLPLhzzqTZIFYqYy9s8pU8ruOSSBrMZgJi46k43dvvsv7iiwy6Q154aZe7d5v0Wr2gk3d9p8zhZ38aqpcwknG5rv9/f/C3EHP2nPvK535WfvG0QFJ6WghjM5/KwhoIqdWK2fDtAzx2KmDCQuEVU+F11gWsheNI+c3vpOvVZfEJR1fbC+m4zSNUYd0DRXOvezC6An/ziWejIAt90KkGKzbJWQoDojQp7XjCe59pUb62S9OCDlKf2QqE+0u/s9FjhhbWqpzklZRE8O91oFoeeNdC8tyox3CZA4gmggU3AA2jjnQN+uDGF9b7jIrPxMmrVu8f6MXclfUD/JuWGiE9YKeA9zI0/vnyQW2/DpmyvH42FnDpAQjCxooJXFirRgtLPBL9zk53Ycm1kswRsDiPM5I+azjsQCLjCeyX793Hmfgw4roC0mKp4JoEAkYoOM/+ufCP2ddIBlYTPhOoBbqwgEFV2nu6et8zR0H3rbBiwTXlH5cnyA/Kw/5z/YaFx0Ck8m50gs/OoAmJrIAoXxPpH5vryvWtG6sO48euQaWFZN4fL2v6JV3HCZjlgNn1m0+8Zo6XP/7Nv/UbApylBw4OxXzW74Ac9UeSX1nKg9kjW8pSv/sgEIRvbBVY3y7heML0s+N24LtEfp3orjAC/XafcDhEPBVn71IJa2KhR3Tim7sMOoNApDyfzUnn0oRCIjovrRUYdKWs42vDzKHJzsUKqc0tYnGxaYheexEjKiW6TCbK5oVqEIs0GU/oNvvYcwkvn01mDLtDPvTiJsvj21DcRA9L2UnTNDLbOyR2BCANTs8l1WDbY6mAeHWdu++eiTXH9ZvMrTl33niE4zgM2nIskis5o7JZYjy2BACFQhw9rJEppJlNZoGhbiQaIVvMEo6EiW5eoLxeIBqPsvQyKf0khlAyLbFaxQIhPcSgMyRTykmg9tMvUdoo0Ts6ptfq4TgS7r20JSpLv/Iy9v1XaJw0GQ6maHFxjo9GdRZjU5o5ihK0/uDWCTef2+LCtS3Wdip0m13OD+sMOgOcpfjPpfNpuq0hui4MTrWapFXr8uidR/jpAeFImEFb4rSKlVzQwVg7OAv0bF/8+Xu8/NGrFNeLVNalTDnojTk86Ei52uswTKQTNM/anB/WpJnhwlPi/RZLUz9uAEhjRT6Nu5jzC5+9LRmY1z6AHtGpvf0OZq0G8xlGPi9aydwG6xtZItUtjKgh6QZRYW8jhuj9NE0jU8jQbXSZ3HkVpYvvmDkyicajRIwI1c0Ck7HEL1kz6SSORCMBu+y6LpmCJBLsXCgAkExG5LwVs+gRncVi6dnAZMiVsiSTBuFImPu3z1gul+gZ6VxdzBe4jstkPOHw/qnID6IG3cMTkntXaJ2LJ93nfuqdVddoNklxrUA8HkHffQrdkMXH6nV/o79mfn2HiyxCvfpKtK8UWFOP9RrJohWJ4Z49EPbJB0sgzE0ovAIl474831nK/0ZCmIaQLixJvyGskd/Rlquu7CB8AGfPUfk1Ecl3a1Ka8bRqAbsUjoqGSdNFAzYdrbRcmubpkJQsgD7z4HeKelYHrtmH6VAAmqd9c11Xypf+/g/Ffmfxn3yvbE+PCNDy3oeQLqyXHgZ7IfurhYQpS+Y8fZUWdCm6vh7I02WRyosmz9ckGXFZuJUmIEWPyNxYpgeEEVDiaQKBgMFcldPsgFn0u1ldx1mxgsvFilXzu0VB2Eff6iMmOsPl//T/XJU6oykpAwbdgp7dht+wASt9mNcx6pe03ZkpP/vsXTztMbNOMNeuPRfAE4l6Wq4QKl2E5YLl9//hoCFA6RFPq6UHDCSzsVzMSsm1gugM3fbJCsCMOqLrcz2dHjLv7myM30zi+uc9AHxex6YWwh33A/1gcHPiM3x+GdOey3Xgfx4sT0PpbU/YwakATr+k7zcxTIcByFTRZAAqnVu/IGyrp6eUJono6vPid9/6wGw+gcVM9mEo0YhB04vvhfYNGL8iOFNK/W9KqaZS6t3HHvsBpdSZUupN7993Pva3P+eFAt9TSn37Y4//qgKDc6Uclz/5MdrNgZQFHelcSyZFs7P7kQ+RSETQM7kgONqybE4PGowGE6JxidgZ9aR7M5qUD/GwO8SaWpw+OmcymnB81COdTweJAYVqgYvXNomn4uxclHLq3JpLwHWjx7DVIWyIgWq2kMJs1Kmd9ciXMiyXDoNag42dMuV1iYV6cPuUxlknyPL0dWpLexnof0rrBX7kX74G61fZuCAi+EQ6gdnrE0vGKK/lxYKjXMYcmkEOaL6SD5gNv7tSC2kksim0kEZpvYAe1tm+uAbA2UENXQ8FEVFaSCOfl5Ksr9Pzw8DjqbjnB6ZwHZfTBycS5J6Ko+t60CnqC8Z9NipiRCiWM6TSUYxCkcpmGSNq0Hh0gj2f0z6pUdkqBwDNmllce2aXxXxB87xLKBYjmogGOrdINMI7bxxzftSkdtTAiBnsXdsMWMvJeELtsEaxkqF51qZ13uLNVw4kjzOT5rkXd6QzdiBasl6rB4A1tdBCGtmyzGEinSAUDvHWqwdMx1Pqpx3MZpOFtQiAeq/WpHPeCsLp13fXxJy4kBHLl40qhaqA2XBEp3PeYuf6BRKpBNFElBvPbpPKpshdukx2Z1tAqSUdoBeevsg7rz4ilowRT8XJFjNiM2LNGRwd0jpv0zs8YmpKxJe2czMwZc4UMgw6A1K5FPt3T8gWs4HO0L/ZmM/mjIcTpuMpjaMavWaPP/Ptl9EjOvfeOUTXJRZM13X67QH2cMD5YY2zg3Pqpx1s22Z7r4IRNbh8Y4vNvXUv+km839K5NJVN8XfT0xnypUwAZBOZFNt7VeLJOKPeiEF3yO0396WpwRCTXCOX/1q/Gv4tGa6ArmxFgEEoLOWZWFJ+Txe8bkeF2rwqC9eo633Bq8Aiwvniv5LH0gVZPJRng6HEz8l1liKQLu9CSMc5fGelG/NMWpUv5vYXnfkUMiVZaCYD6X5bWKsOyqjnTQUrlmg6kgU0tybbtS0p84EAguXC6yaMSQkylpbS0ny66qrztFfufAbZMkoLof/l/8Nb6NyA8QkMS/3yrx5BrV1cMRqwAkvBArpcdXkq8ZNznSXuoLU6JbGUB4ijnk2ELsfmWYng68AisffaRiCdo26/4ZXkPOCnh6XsNxmuNEzhqIj051Pck7uyDS0UMIw+6An96b8kxxXSBXgkslLi7DdwXv+pAHjheuBhMROANx3h7HsduVMBTkpJqdMNDFa9fdbEW275l/8T2YfpyGsi6AXHqf+FH5JjnE/FNsJvZPD1dnokmHO3L591dz5FVS7Ivs9nAhrjqaD8x2y88i3zLT1mIqlw2ydgTVZl48UM4ml5vi+sn47Fv82fm4g0AWBbAtKnIw9Mek0QkyHOrc+vGkg8zSDWRK7NydBjzpyAdXOdJaFnPxXoDwEBX+B56Hn7F016mkZNgJ2v74sm5ZgnA4/NVqtj/TWOr4U5+7vAd/wij/+Prus+5/37MQCl1A3ge4GnvNf8z0qpkBcY/DeATwM3gO/znvsrjslowtHDGoOGRPssl0sq6zn6PZOIEeHibo5oNEy2mA1E8qcHDTZ2K1IO9PyilFJU13PceEZq9HNrjhE1BLDFo7TPmpgjUxIGxmP6rT79/hRd13l45zRgFPaubYkdxqVtWaCurdFu9Pie7/uEuKW3h/Q7Q/RkEsdxOT9qEo1HKa0XSHnWFEbcYNTucuXmDsvlkkQqgVKK5lmbbDlPYa3A2lqKYW8of89nGXQG9LtjPv07rpAvZ7l+c0N8pPJpBp0Bi/mCbqMbAKyIIY0ITz23S8uzqmjVJUVg5/IG/Y5E5riuiz23qZ33KVYLYtxrLylWJXqoflyXBX1skUgniMRjgb+XryeLJWKkcil8P7phd4jSFPWzDuOxRSqbCgBGKBYjmoxjpJLEYgIs/SzOw4f1gOHJFDLgyvlPZWXe7IVNNCHeaxEjwulhEyMawYgbuI4LCrrtEdZwJE0jnu2IvbBJxyIUqgXS+TR/6Pd9gMV8wdHdI+nuTMW4dmONdD4tTvee0fGoP8KIG2Q213Ech93LG2I3sbcFnq2Is3Ro1zrS9TmekMwmUUrRb/eFVVrYrF3YYDqZkymkmc/mnBz3gvPkh9GnsiniyRg3rxQx4oYAXaBd6wTP0fNiiZHa2KC0ViCeirO+W2XQGZApZJhNZnzsY5epH9epbld55pkNOrUOmUKGyzfkRiOIxAJiXs7nn/qrnwsAWTwVp1DOMqi3pJGjVCKRTgQ5mQtrwf69M0b9Efv3zul3hpQ3pBHhYx+9RDKT4PywQTweFia1Nw4AH8DB/TPpWk4n0MN6wGBv7pa5dH2TaDz6i38R/Ns6XA+c9aWLWWmaLFDWxDML9cxmvQXItecrAbUPjJYLtG/6Hk/XM1uVA73SCvNpwKwpz3zWfeVnA0sDdzIIAAHOUuwjHjcRDUdR8cxKqzSfCtPSOcd98Jrsgw+CIrGA1RBbgQjai98WvC9hA2YC8pSvmwsbq4636SgAjUGZ07cxOPRcSTwNT9AM4enTQKwY5LVe+coHIr4+CjzBeV/Ka5qUFJ0v/3jAIgUMXuCYLzon5wv/ygOQbsB+SDejvhLcR2I4//MPyjGZfQEy85l0dsKqbLq0pUNSj1D7vj+yYsc8r60AnC7toHkBv7M2moRkHu25T8mxeea3uI6I5H0tn28LERX21PVAV/C4z5a6DsRThP7UfwHOkumf+gPe3/zu26WAcsD5mf8zaChReljK7pYZgBqWNoPv+70rADxsB+dD+V2WCwvn/mvYP/AfCAvq6xgXVsD2qUQG90y6tN2lLRozx4bZRJhZZwlGbMWieZo1cOUmpHLBA5OzFbOayKKtX/T84h5rvPANkRMZjwFEgJonA/B1j0EaQiTuafHmK32bV24FguvVZ3CZmThf/vGAzQyu71/j+Jo0Z0qpXeBfua570/v9B4Cx67r//Vc97z2O2UqpnwB+wPvzD3w9ztogmjP9499PJBohnhSn9Ug0QjgS9uhr2Xc/YNyaWoz6I0KhEImMZGN+17dc5Z/8yze5eG2Dgwe1oP2/vFmmedoMdF7JbBJd1xn1RyysBYW1Ap1ah2giGvhCua5LKpuiXWtLiLolTvOpdIzRcEoiGeV0vya+X8k4vVqTWEbsGuKeNUU0qnN475SwESZTyNBvS2kzlhThdiQaYWbOUJoikU6ImehMBMW+sHvYaPPBb36GfCrKL3xRArxH5+cY+SKFap7GSTOIkwLQwzpza04sESMcCQeMmL9NI2bQPTnnk9/1Em++ecqwO8SZWxhJYeLs0YDc9qaUEOcWz33kOvsPmqRzSXqtAWZ/iJGIk6/kqR/XJTxdKdo1SQLQdR1zaKKFpHlAKYXjOJjNFlo8ybVndjl8WGfy9i8Qf+ajuK7LdDhGNwzs8RA9lSaVTTHoDMSzLawHXmXV7QqX9vKc10fUz7rSHTiWCCRrahExIugRnWjMoF3vYPUH7D59ieOH56ztVGmdt4MGCZBybjQepd+S8lG6kCZfSFE7bRONR5mOhaGKx8Mc3Dvlw5+4xqtffEQkGpGwdddBT6UxogbVzQK97phYPEq/Mwi6USetFloiFbBaIT1EvpyjXe9IQLymGHcHpIu5oBwdS8aYmbPgGpjP5ihNBZ2ifv6l4zEkaxs5+v0pg86Q609vcu/2uTQYzO2gvLt7sczDu+dS7gyFsKYW69tFHtw6YufyJudHDVLZFGEjTC4Xp9+f0jprsXN5nf27J8K85tK0Ds/Qfc1bJEwqmyQU0ji5/QgVjQU+gH752b8mY8kYo/4IazCCcITLN3d4ePuY6T/947+FNGfPS0KAr2HxtVLTkZRe/EXX19HMTGFc8uuem7vnrv5YiSZwoe/VoLC50p/5AMh1Agf6QO/0mAv8V2uAwNM2WRMBFCBlwaW41StNw52Nxal/3BMwoDTPlT286t50bJiMcLvnqO2nVos/rDrc9IiASU+vpOLplbZoOloBLN8+AVfAmW/6aduB51ug+fEX0FDYY8/sVbdg0MkZk+OezwLzXt8RPtD++a9xHE+LlZT99xMOfKPTmSn7pzR5reMIc6JHPCG/x8D4c7+a5aBzMOjS9FiiVYeujW/YC3hdizMBDP7fZ6awkr5B7MI3n1VSuvPKjkFzgBaSa0kXDzOsicyhn2rgdzO6jvw8Gcp5mQwDljFoSACxyEhmpVw5t+Rmwje59cX9Zh+VLuK2TyFdFN2gz2L53Zr5dTm//na9OQ6uP//askxpjDD7wix6c890GOjxcJzHupUjq1SMUVesT/xEAT+BwY90wj9V3jlwndV10Dn1Pl+udPBGvevhcV0iriRNZEqe4bDDy5/6jt/0bs3/SCn1tlf2zHmP/VLBwL/qwOBYIsYLH9ijdyalLE3TAsuBYjWH0hTL5RIjGmbYaBMxxLhz0B4w7A35J//yTZLZJAcPaiLsLorOptvoSoST43jgpB5kMobCIcyhyd61TRLpBBu7ZZb2Moji8Rd+3wzWHFsMu0NKpQS7VzZY2yphTS0S+SxGzKDX7FE/bkj0ErIwbexWpKOtmBVX9mhEtjsRhipTyARmqPFUnLWdCuXNMrFkDCOd4sufu8vh2SBwWk+tr4tHW71Lriw+X/PZXDRO0QjpXJr1TdGCGTGDZ5/fQgtpQalv49oer3z5gP7pOY5tE02nsMyJdNcVi8xn4jafrZa4884J6VySbrPP2laRbKVAIpPgA8+usXVxPfAjq2xVyBWl0SJshImn4oGtgz23SZSEcbnz1oEc5zMfZfL2L0hJL5NCaYpYQbJGJ6MJF6+LDmt2fow1tdi5vE7zrMXP/8wtHry9z2K+oNfoBHYn05EZOPHXjxtYE4tUpcTpgWSKLhY288PbrO1UyJVzXLy2SSqbot/qi3avmmfcH3NyUCedS2NEI1y4LEzVozfuUlwr8u5bZ2RLYgBrZDN8/DtfprhWpFDJ0m4MWFvP0jxriX6x0SFbzJColHFdlz/9Bz8g3nxGhFFfGKZULkWxkiVVyDLs9PnmT10lV84xaPWCFAo/NaFQzpIr54jGowG4XFgL5rM5D++c0m32ePr5bY4Ou8xnc6yJxbJ5QiwRY7R/n/0Hdda2iqSzySCuqdc1yVfytOs94knxWDOHJnffeEj9/j5Le8nBvVP0sE4iJY7+iUKOVDYljSSTGcmkwcmDE+IFadQR89qodJx6HctrW0WxVknGiWbTpPNpDu6dEdLfvya0v+bhL4CeL5KKRIM4Jca9gIkilpIFwFugffbnPV2XIR2KWwIK/M4639zWY3hYWN7dvCW2Hdpjc+sZkLquGzAuJPMeaDFZaaVExyMxUo4sjuCV6OKr95iNZPGLJtB2n14BMG8s73xxJX73GTbP/BU/OkcpnC//qCy+j+nu8DVq0STE014pz+sknQ5XhqB+6dFIANIlqrSQ6LuWtjCIjqcnw7NB8Dv2QqJpm/2Jf0fKWuki917+qPzNtwaxLZmDSCzw8wpKjZ6GTGlaACqk3DeRffKF5vOplJG98h32HOf8gbCZPiD192nU9bRrwkAqLzkAzxQ3OOe+AawPOH1WzQdmnvlq8NpsRUBdtgIoOf8eeHEdR7zILG+/gzK0JrrJ5UJAK55uy/BsVx6z71AhfRXPVZBYI99bTMXTcj4yJS/ayQOoSgkws+fyvrrxXl0lLipTEoZMaXLdR5MrbZgPMP0bDteF7rns62Qkx66HV8yls5T51FYdmEr3wL2vKfRvfBzb01LOVvPt3wzZCwF/eKxhIDX4tY9fLTj7X4CLwHNADfgr35C9AZRS/75S6lWl1KvL6YBJf8CrX3xIZq2EUopkJsmg3WNx7xVGgwk7e2WcpSOxMCmxSVjMF6RyqSAWxlk6QQlz0BYPJtscB6WWfClDfquKETcYdAYsF0si0Qj93oRQSGM0nFGo5pmZXhnK67b0Y3ziCYN4Ks4bX35IpzWkftoWAXVGBO6Me+xcXieRTtBu9LFHA0736yRz6YDd+tiH9xjWJA/SdV1hrzwWRHy85Itg3B+zXArzFwppYnHgupTX5MOQK4tIe2kvSWTEckELaaCg1ZLX6mGdV770KOjMDBthstko1c0Chd0tqD0QQLi3SdgIc+naOiE9xLg3pN/uk0glOH1wgh7W2b97gjkU8f5P/NRtUimZ50g0wrg/pt8Ri41kJkmpksEcmWJKui1dmRu7FVmg42Kimf/wN9P94k+jlDjcx1NxnKVDoZrHNOdEE1GSO3sYMYOjB+fEk3FypRzhWJTSWgHGvSBfdevyFrpXEvRLacVKluJaEWs8ZtAeoG9do3XewRyYEhAeDgUMVK/ZEzuUvSqt8xaj/pj9+zWW9pLK5QugpDzeOGkwm8zIl/O88845o/6IvV0pCx8+ahBPij4vv16idd4mlohRXCvyv/zjtySwXUEqm6RYzVG/+4D6qXSqarrOj/7oW/SaPfZu7ICCaELsX/yyrLN0WMwFkPXbfckMjejMpzNcx2X/kdchG9HFnDZXRSlFYucSG9sl9n/sh3Fdl2g8yqAzYNAZoJRibol+sHnaJBwJoxsGu89ckRLybCoNMnqI7b1KUD6eTWaS2WnZZIq5oGPUmlosrAWZvKQczCdTaidtjJgR+O3FkjE++c03xLrjt9L4qi4/9+yB10mpr4xKY2kBRsO2lxyQWpXAQmFhAwZNWTw8O4FAVJ3IBgxVUDL1TF9VzPOI0o2VyN4HgZGYlHj8Lk1/eNqugJ0A0TH1m7JI+ZE8vj5HD+Pc+ZKURb3f3ZkZGHuymMFkiHbx+ZVuLZrEefDaSqyte2JqI4H2od8p7+tpov7+xlU5Lt8axNOv+Xoi60//EVx7zmd2n5IOxYW1MoO1F7jT0apEaiRWuZXjHm7jUPRorlcuDRtE/+Y/kmNxXa6++Zq8zhe+e4a5QdOEkVidBzkpBP5hgFN75LGeAlrs/+KPrwCnX4aORFHlXdxBC3fYDjRZSgsJu+XrpuYzXE8PJs77i5Uf3Xwq/xYW5NZgPuX1y894vnFKzuXSxmkerTpF/WvIWWJ//5+Q4/d1U14Cg29PEgDtTAnnzc9Kqd77F7C7PoM1nwbz6XqlSLdbE7bVWQa2F/j6R+86ckddmTdNw/X1kiEvd9MzvHUnw9VnRo94oNkvz3qfM78DNWzIXOgGhEKr3FQvVQOl4dQeiRZxMoLOqeybl1WqPKZ2+de/P2BIicTYf+lleQ/LY7jDhoA/TVvFsz1mj/NrGb8qcOa6bsN13aXrug7wt4EPeH86A7Yee+qm99gv9fgvtu2/5bruS67rvkQ4SSKfFWNUx2VyeJ9+u0++WiT+9EdwXZdbrz4gV0iJkWheTDdzJVkYE+mE16E4ZdAdBOWh+WxOOJUSgXY8ymKxlJLLYsnSXrK+W2HYHbK9k2PYGzHqj+jUu5g9WfwGnQGFSo7qVplyNUun2WfhZVq6jkuxmme5dLAXNjef3SKULdLvmmQ84KWnMtjjoTQvzCxCoRD3DrrEi0XCRphRdxB03TmOgxbSGHQlPHtqTrFP7uMsHeq1Addfviras7TB+naJTr0ji+F8weDBXfIVaUiwJhbRqOiAbj4r7J55ciS+Wudn9HpTuu0RM3NG+MJNiiXR980mM4ZD6SbNlvOU1kuYIxOl63z4QxfE0PX4HkpTpHNpzk66WFOL3b0S1sySY24cks7EeHj7mERaAGOvM6Jda3PwziNmkxlKKabDMTNzRuLZb8J86/PEk3HRgMWjnL97h0wmGmjQJuMJO5fXWS6X9Fo9IkaE2lGDzeeeZj6bU17PMzFngWZrbs2FWeuI4//Fpy+yeaEi+aZHd0Vf5SUXTFototEwi6GwSaY5p7xRCthDPazTa/YkbL7VJJPPBJ3EU3NKJp/mi59/gB4Ww9fdiyXMeo3u8Tlbe1XJNs3ECIVDNO89ZDqeYo4mTCdzwlmxPUlnE0GnruM4tBsDrj69K478xQzVzSKEQvTOGkw7oitzHAdzaPL881s89eIltJAWXD9xrxHm2nMXefnFLcrrec6OWiSe/Sba9S6ZQppMIROAai2kMe6PSWaShI0wWkij5bFpNz54A3No0jqpc/Sojn10h2g8Sq6UYzoYioWJgsE7XxFbDyPMcrnk/I03CYVDxDMprJkVGAgn0gnC4RBf+IWHjO688av5Snr/DuXZP3jWCGrjyor98q0IPMZFZcsrfYx/V6+8DsZsVRaPWEpAh+9M72/HtxLIluVne+FpabzthDzNmcd8KU1blVV99s5nYryOvaC0GEtDLCmPhcIemyNgUEVihJ76iLxX2PDE8J5g3wdZYY+1MBKBwFq79qFAcxYIr71FNnD5z5T4A49ek4U7nhHg4zdVGHFU2MD4qz8ESuPb7n5JfLEiMa8b1Fu0/QXTBzl+h2MyK80FIGAlkcUPk5cJ8nVxIUBJpJNSwvb5i7inhwqimsJR73wJ6FDFTY8RknMQ+i//V/FQi8RkTm1rpXdKF2Uf4ikBw17nqIomPQ2iEeyP0kKimbIm+J2+yjuX/u/Pv/slrxTp7Y8RR+XX5e+eJs71wsT1H/xfZV59OxT/mvIjsvy8zuUC7flvDuZGKenWVVpIwIsWWpWMPYBLKIzKVTwLl3AA7PC6GlXEm7NYMtAmqs1rsu2FeDoGbFbYWMUvhcJyXPpj15plBuDS716WAHsj0MsFNyJaSHRrsaSA4PyGzKtSBA0h4Sih//DPr4yecdn74udW4Ny3aEnl8T35lBFfWYv8GsevaitKqbXHfv13AL+T84eB71VKGUqpC8Bl4CtIQPBlpdQFpVQEaRr44a/lvabjKVZH/M2e/65PoZQKdEuL+YLy9honj2oMWx26jS7mwJQcTVeyONO5NLFEjEQqQbfRZdyVO0gjZpDJJwnpIc4PaiileOa5TWzb5tzrBnz1599l3OoSjgio0aOeLsyIUDtu0GsPOD1s4iydIBFgNplhGBIsbUQj3HlXbC8kH3IoC28+TSiRIhwJYw1GfNOHL9BpjYLMxcJ6CWfpcOPZ7UBXZ8+lXTikh6C8G4j/53Ppzrz99jGP7ojJbiKdYG2nSmL3EgtrwdpWEWtmMeiOuXB5nXZ7wqBnoherxBIxqjeuMTUFINm2jR7WMc05H3lx02P7ehTXCiil0EIae1fWKa4V+Zmfvo09naJvXsGaWEHJ14gZvPPaPq7j0jxrQX6d8dginoyzXCzpn55TqnilwHQq6DLVDWGElKYof+zbaX7uJyQ3cj1HvLpOpy1WEd2mJAQc3DsVMPLBSxhxAyNm0DrvUKzmmEzEcsIaj4MczUQ6gaZpRBNR9u+e0KqL3s/Yvca4L0zqbGSSKJfptYckyiUyhQy2vWQ8MNHDOsPukH/vu58RY9tiini5wmQ8IZPPYBg66VyaXquPZU4YD0wyhQz7DxqoZIZ4Ic/+rUPsuc3xoxrdgyPCuQLzkQTPNx8eBGDFtiX0PhKNUN4osbSXjMdzRr0R3Wafk/2asJ7JBIlSiV6rRyafIaSH+MqX9nl071waVJo9LlwQNtUcmnS7Ju/cadJtD9m7IpFCxWqefnsgkWOtDrFkjIUltg++PiZTyGDPbUlUiOnC4qUSRIwI6x/5ON1GlyuXCuTXKxQKwnaGL9wMtIfW1CK9dxl7bpMrZbFHQ6yZFZTge+2BeOdtXPnVfCW9f4fruZqPe+DYOPdfWcUJhXTwvLVc15UuwPkU0cJ4LMx8urJm8Mw4lR6WBd63OXj87SaDVfchEGQD+hmJk4HYW9ieQHs6XnVxAr5hqO83BXiu+t52/BKoEmd8d2mz/NKPeIJ1byH3dV/+PocN2dZsJKyepq0MUmfjQCCvPBAVGPGaA5x/9NdlgfYZq8fYHXfcxzl8F1yX5f/+lwOBtjsZrsCeZwDsG9UGjJ9fPvMF+NYkACZByRFWDRjjfsAk+uVhPwbK9XVUwfleCcVdaxI8f/m3fgBGHZlH3yLCL4N5lhCB15nfZemzj0qhIrGVF1gyK+VHv4PSs7CQobD/3B9bgTf/JmDck2PzBf6ODdEUbuNQGK7zhysm0Fmu4sUsc+XSP+oEj7sLSxin2TjQz8nOuIEeLChX+mBLaY8Fn2vCXPlNH3726qhDEJ/kd0SGwkGpW/mfG/88qhWTSSQmma++LMB3+vfHYrYCV8OWvK9nieHOxivpgDdn7tG73o2QnO8vX3tZtq00z+NPedv0rr2lHezar3V8LVYa/wD4InBVKXWqlPrjwF9SSr2jlHob+BTwHwO4EgL8j4DbwI8D/6HHsNn8agKDPW8qEmnpDnvYxOp1qR+cBX+3phaFtQJ6LCZCdE2xe7HCZDQJIoMW1iLQPZW2qtiWaHeUUgK6PBH5m68fo+s69sl9Ka/YC/SELDRKU+QreTZ3SmghjaW9ZG2zyIXLVS5crgbsxLzfo90YYDbqnH/xc9IVGjNEjL2wqW6tInZ2L6+zfmWHV948p9vskkgnGPVGgdbs4b06juMw7g6Ip+KMz05JpBPkq0Wi8SjW1GI8lrgf6+HbYrsxMplNhDHyGbTGeRdn6WDNLKbTBb3ehGI5HTQEjHoj5rM5o/4I1xExfuOkye1HXTHTfedLzKZiWtqpd9i/d0630ZVOx1yWWDKGeXCPXDlH87S5sqTQQxSqBQqbVUa9EXtXqgzuvQNLm4dvPmBWP8NxHBbWQqwexsNAPD6bzIISZ7cjC0gqLbql3Utr6FEpDWYKGR7crVMopjB7faKJKMcPzxj3x/RaPaJpYVVT2RS905qUtOc27qBNMiMdnbgQ0kNMRhO2r26TyIiWylnKXfy4Pw70Uotuix/9+UeBzYaf1OA4Dkc/9a+ZjCdcubHBN3/6OUDKgr69yWQkLtXLboPFzEJP51jfqYBjU6rm0FMZsX6xbc5/7jM0ThooTdE6bzObzDh7cEQinZDYpm5L0hk8dtVe2AxaEqdVWsujaVpwnd1+5zwofY560u02aA945yv3Rds4kGYNa2pBKMTUFDPnkB6S9Idmj9ZpA9d1yRbSvPXqPiD6tqk5ZdgbUagWeHTQFQ3j2BKLEk1jOjLRdZ3SelEaHQZjUikDIyem0dbUwrz9GuFImOViGaSA/JYZPnvkmaWGrn3wPUaayo9Umk9Xbumevxe2JYJsr6Tig6jAmT1s4HbP5X38qCA/L9G3vNANL3zc85tK5kWu5JcSIx4oC7rhCDzFgoBrPSILnx5GxdMrkOLpmkIf+m5xnX98YQ+Fhc1xbAKQF4mvBPSpQnBcvqGp67o4n/vnBEkIuo72h78f58f/nix89mLF6rkuKpkldP3DKD2M/qd+MAhtx9OYMWitxP4Q6Iv88PNAx+eDStfBnZmy/cUM9+HrK9Caygeeau7MlE7NySBgWAJvNB9sOUtUKi/JBq441+t/6gfFVwzkb5HYqiPVC4l3Dt5ZnQ8feHi+W66XAsF0FAAIH0ypZE46aWcmzKeE/4d/uGK+lCbebpmSB6BUkJCgNMlhVdEkavfp1bXkvc5dWF5clhevlS6uwJAekYaCaFJuPvz59DtnlZfQ4EcgRZMeyNOkmcVZBttT0UQA2MiUvX0LrQDaY5+loDnBWQqw9AGxd+0p31R31PV0dzrL7/+j8t4eC6iUkiSAeFqyRLMViMT4/tyF4LOJs0TtPhP4DLqOwwcfvSPvbXjZt95cBNFcj+vefo3jVwRnrut+n+u6a67rhl3X3XRd9++4rvsHXdd92nXdZ1zX/V2u69Yee/6fdyUU+Krruv/6sce/vsBgb8xnc9Z314glYriOi5HP8/QHrpAppDEHJkZcFnJN02gfnWPEDG59+S7be5VAa7NcyuJoxAyM/z97fx4kyb6eZYKPe0S4x76vuWfWeqrq7NtdpStd3auNQaIRixpo0cAIs+kZa9ow66bpHoPpacwa6xkQY2p6YBoYMdBIICRQg+BKd1/PuWc/p/aqrNwz9n1z9/Bwnz8+d886at2rhbuUpPqZlVVWVGbELzw8w7/4vvd93qgUaObc5OCzvxYUGRs7AjtVVIVrP/IJjJkRdE7m0znZQgYUuH/riHhKdE77907YvXPKjTcfkMwKtyy7vsp0PCWSzaNvX0WP6oz7As0tVPN0WwPGA8m5TCY1us0era98WnQ+3jgumU1SqOQoVXO88MELaPGYRC1tbAaZocvlEtdx6Ta6khV66VlAoKeu62JNhfKuqArjZpulvSRbzHLw1nVa77wdROl830d2pLjqyKcVNSTW60Q6wd3Xb4rw+8kPgIvnxBOhvhbVyJdzqCGVci1H7fkXsUyL81cENRJLxIIopEw2Tigc4vZ7h1z42EcJZ/OkK0ViNUEnWKYlKQKpNIAUQ4pCsZSm+OFP0PnKrxPRI+y+cYPeaZv9+3WS2SSzyQxnKVDfe197E0IRiuUMlfWKJBAsncC4kSumIRSivXeE4zhktnYwDYt8JU8qlwo0b6ZpEwqFyBazWIZFp94JcCOKqpDd2mLYEXRJLBkjmUkGo7/41Zcxpgb379T58hfvMuqPyFfE/abpmojjL14mvrpBKBIhkUmQTutE83l67RGxZIwnn92QDNbnP0oinQien+u6bFzeoroqTtjatSuBnjCWiJEtZlm/uMGTz27SrvdIZpKBHs0f9fufrE93j1k/vwpqiH67T9oj/4dCIYrrNenozk0iujh7rblBJKpjzQ3icY1irYge1UlmkoFJx5ybHN89IJ6KUz9qB4+dqxQor5Xot2X0ny1l2b9fJxqLSiey2SHxxPNMhhMs0yKR0H7zN4Jvw1IUZV1RlM8pinJTUZQbiqL8597tf/13ynH8pstxPBeaNy7xLiTuZOCNA6PeyCbidQWUs58DQQUEzkRXirbZ6Exj5OMBwLuAy8XKtYyzDpbreviMhXTOPNQEk4FonTwBPQtTLsizkWi4lgu5UBlj6QQ9FKnkeggP17ZQctVgvEo0EezXPbodjGcDZpaHAQmej+9uBNTnf8D7tytQVteF8QglIjT3AKHhC8BB4pGCDtTsrJvojSgVD//h+nFIvnHCv6DPRwQOV9+kENZQzj0jr8d0GIwnfWctydwZjsE/9r6o3C+gQB7TdaR48r/Hy/l0H9ZreQJ1JkPpxIS1s5GfFpN9hj33YTwjxbPH6ZLx6vLMoegXlEE4vCLif8eL1Irocs6EImfH0H9NfT2X3/H14a8esiIokHymnBfZRSILvRNPH2icjZHDevB6+N0l1DBkq/I8vc6eHAuvcPaOqWtMcO687gWyz88C133IciiM+8qvy+vgd19D4TNW38KU5+nYsLaG4o1gHyZUuMbkDGgL/I13fzU4rmI+8M4lfzTqumeGFdeVTmJYPzsPHu7q/QeuRzq+KZTfdlf+458Rkr8WYX70gMyFy2i6RiYbxzAWNA5bnHtijcMHTU/vk6G2ludoryV6rnCI5WLJ+rkaezce8Of/7Pfyqa/uM+hKLqKv6THnJtPhlNJqCUVVglGlaZjByRVLxIQir0oh5boS+m0vbCqrRQa9cYAKsAzJt+zVpXWaKApscjaZBRd+e2Fj9TqUL55n2B0S1rw0gHyK9mk36OBEtAiu44rrMpvg4M33SK6tY85NkpkklmlRruUZ9iWSaGU1x/U3d6F+n/ILH6J10qK8Wqbb6Ar53ZQLNvX7JC4+zfT6K1C7RCyX4clnN2k2J1iWaLk2dqqEQgoP7p5SrMpzaBw2UVWVUDhEtpR9X4j6wlwEBYPf2Zy122RWV4IA+1RGsjLXt0rcu3GEFtUCN+xsPKNQzXN6/RbxqmgkInqEwdc/R/al75Mg9oUddHWcpROEq+sxnVwph+M4pFJRDnfrgYPw3OVVDh+0CGthhvU2qXIh6NrpMSmg/fSC/ltfI7LzJLlyjkF7EHQ0n3x+m7deucfTL53nYE+cwa03X4XiBmHPcDIZTKSochw2tsvcfOuB5EaqCna3SShXprRaQtfDHN4/wV0uKW9USSR09u4cBYiXoMg25TwanDTQMxnylTzmXDpTlmkRT8YDdMhsLG8yvnNTURU2z9VonPRYWIvAKBGL6zSP2wIfLsv95YspWvW+fNAJqcRTccqVDPUT+fAy7o9ZjMfkN1YYdUdneZ2TGXa3SfHSJa5eqfLFz97gyjPb3HnvELv+gGf/0Me5e/MUFJjefIPcsx/EMixJyvDSMta2q5imjWlYdOtdjF/+C98RlIYnz6i5rvumoigp4A3gx4E/zm+OCroC/DNEY7sCfBq46LruN1QAv/DsM+5rX/yMvLEbUwmf9oO47YW48LTY2SdvX3wdTQLKGVJgPhF9jNeVCoTbxhR31JHOgxaTgiSsSzFlzqULgXSNznARv0FA7Yv/fbG0X7Q8DNX0L1LeSEpigTwnm20JE0qPyfc6S9E4KWcQXR4i5QdB0T46w+/EjDpS9PgjWTgTV3vFg+AS5lKcRJNnx8Hfs4/OCIXP9HG+YzGRDeC7iqe9C9hgfuyTn+LAWREddERc96zT5Y/mfIyI60p3So/L8UgVzp7/pC8X93hGftaH6/r7Xi6EdWbOpFC3LRnJ2ZaHwHgI0eG//vOJFDe5Ku6oi+Jx1oL4Jl+zpqpnQfS29T5EBgtDzr0gN5KzZIOH9+EjTRTPmLGw5Fw0p+8LiGc2hHjmrAj3nLlKIitFn2XI+enxwJSILh88vBSI9/2u+bFTtiV7tAx57p5gX7rNprie/UJ/+RAKwz9uAUtP3LYsTG8/D+Fm/Ofhn99+ITbuCVgX5LloUQLcTVg6uO7CPOO4qSGce2/w8v/xv/79H9+kqiqdkxZ6VBhJpWtP4TquBFNHVE726uTKOaZTS7hY4TDDoyNu/8q/RotqfOIT11gultidU4b9KZlykV/+tduUywmSmSSj3giAaOzsk0b78DTgis0mM8zpHGNmYM7NIOha0zX0mETZPPnMOsZgRLc1CLoFxtQQh5sWRo1ESFVEHB/RhG026o1YWAtqG2WwLVpHDUEW7N/HMiWBYLlcBkDURDqBHtOZDCcc3DkkvbEZON9AMhe7rWHAaDs+7FLdqJK8/AyT4QQ9JlqueEqyCx3DIJFO8MIf/VHUkEr0iRdlnNXtcuOdI072G3TqHYxul/17p5wcdr2oojbG3MQZCinecRzpeBgWWlQLLthLe8moP2Jjq0CmkOFDP/wi2UKK0mqJUW+EbUvhe/igxfMfPC+H3nUZdodsnKsC8MSHnyWZSVJdKzA4PCL70vcx+PrnpIujR1iYi8DgwXzMix++hDk3JUz8pM39z3wGq11nYS1IZpKcHHZFUzY1iCQTjE9PsRc2F66sSSfNo+vPJjMo76BFNVr7Mj7P5pPYpsndm8IEu339SNATWpjME8+gJ8UkkM4mWS6FmWZMDW6+fofaVo2ILrBd0gWS2STjwZjxaIamaxRWSiQSOke7dSm0PMNDNCGdJb/Y1zMy8hz1RiTTMSK6dDGrqzlUVWV0eBC4cqPxqDiFzQX3bhzw0Q/tANBtyBj2+HOf4qUPS3asOTfpnTZ5cPuI0d59fGjvqDfiznv74Ao/MJVLkaqUcB0R9OoxnfFAPozsvPQMo96I4VjOq+ODLuvnapSffYG7t05xXZdCOYt27qkgVF7TNTHP1IpY1pJsNiajbK/T+J1YruvWXdd90/t6jEguvhni58eAn3dd13Rddw+4z5kZ6jdfvhjdcWQMAt5o0ifuT6TY8C/Uuk9Bt85+Vg2dGQoiuhQBC1M6EImshF9rcSk+vI6GEs/IBdQYg58g4F9wffyE6/G8xr2zUaQf++Tvxx9T+cVcRMe5/iW54PvOTS0m+/DHdJ6TzjVn4oQD+XmvQ+U6TuDodDvHgQibePrscXyIra+RCkW8kZYn7I6lBFPha+O81AQRsuue01ANfo5YSu43FAkuzrKHBAzbEjrvut5FVg26WcHx8YPO/QJWi0n0lK8JdJYyNowmgtElIMcwVRAjgNfZC/ReD2m0XL/oGnfPOFuhiBR0fgfNG2/KiDABmZIcD02XaCZv3Ola86AbKd08z5ARS8njRBNeJ8pjj7lOoOlTfEyEMQnGsyiKdAInfU+j552ffiapV7ROf/pPSWE2aJ2NMSO6xw/zeHF+8e4sCZIufDOKj7/ww90dB4zZ+wspY3JWMKqi+wpyVENhOQedpRyzSV9SCqy5l6WpnTHg/A8bviEDvE6fx5dT1DM+2mwYcOTOikA3wMAo3uMqYQ310svf9O3gd7Ie6eLMcRwS2RS2LXBWPyswFA5xetwjnoyTTEUZD6aUN2rocZ1LH3gKdecZIlqEV18/pLZZIbm5g2VapLIJxoMxt947ZjaeoUelaHnuWpVwOMzquTVCepRURroW6XyaVD5DOpemulHl2nPbqB4ZPlfKEQqHePPVB6xe2hKNWyrOSx88L0BZ26bf6svzWDr86A8/xfpWUYLTI8KzmoznREo1wrqGaZhkLz4RiFezxSzhSJhLV2roephiOU15tYQej1GqZpnPjKAgWt1eCaj5F5+oUallmU/nMu5MxckWsyztJaVqlkwxQ6KQ48MfOsd7b+4HeiUtHiOSzmDbNrZpsX1xFbQoG+dqqCE1KGQngwkkc2fuvMmcjXNVVFUlmUnSb/UDvdL923WJUXp9n+VSOiWS2ShB2dPRlFZrKhFLyRhqSOX0sINpWOzfb4i7sicRHrPxDLaehv13RKzuCtA0mYqhJNK8/lXRT1mG4EGSl58hsbZBLBkLtIuKorCyWSaVS3H+hWusb1fpdmfkihn++I9eDVhzaAI9TuSzZItZWvUepXURzy/tJZZhcf7KBomExngger18OcewN6a2WSOTS1LdKFNYqzKfzj0Qr2gb55M509GUjc18EN01nZgkMmcF+Lg3pFhKkcxI+sIf/SEZYdq2Tb4s7mA1pLKwFgwGYl0vX75EOBLmiac2UVSFaFyntlklmUnymc/dRg1Jp9Ocm4TPP8veXh89pqOoCuuXtljbqZHc3BEobijExrlaAC/O5NMkvNc0osuHjkwxI+fbtU363QnxVJwbbx+QzqXk92w0x8/GzRYznB40hSkYl6zZsBZmbbtC/aDOoDOk1RyRK2YCU8x3enmg7WeBV72bficcx2+8/I7L0Iu88WJxvH947klP1zXuBlqXwPHn5xx6nQvXj1zy6ffLhYy/onFPkybJAv7oz/lnf8dzRBre93qxSnBW3GVK/jE4Gw/6xYmzlE6TGpLiZGGibl07C2L3wKXYlojS/QttWPO6RelgjKgE2A8nKE6U0vrZWNbvVI17cnj8zpEWk+e/eAjK6wFyg8xR3yjgX2z9Ii/oanhdH8f2ujjzs33ka0FBqehxKcRsC1Ck0IqnA2o+88kZ1iNbkaLYE4bLcVgEr7s7H8v+vHGdO+oIb85njj08HvOjjBJZKZL8ohykSPG7b7743i9MvbgsQhF+bvtZ0TFqMdmTbQUjz4Bx57G5FN+BCQGkN8BjRHTRFnrn4vK//FNyrP0OoT/6nI8FwOpFRyX+6b+V8zOZDbpeQdaqv/xkC//xvc6w6C8jwu7z9V7hiBRZXgdPCYWl+xxo0VQPiKycjd9BNGxqSEwTvkPYL9pUCTX3C+UgTWG5ONO8eUkGvgNUSebk34OGFOvR5JlmUYvh41jc3um3TG8Gj/pYs7Dt7vy5v0vrRHQ/2WKWQjHJ4YMm+XKWfkfcgf6IcTwYg4tE7uSFvi/ROEl0PUS7MUBRFKajKcvZFPQouBBLxgLR//p2hdOjjqAxVAVzMuPaixe5d/M4cNJNx1PsyYT1K+dYX89w+1Yj0AaZc5ONc1U6rRHjwZjqepmTvTrltTLN/VOylYJcaC2b8WCMqqpBaHc4EqZ3eIyWyRJPxSX0OqYHBUFYC2OOJyRyWUzDJBwJc/XpDTqdGccPJHzbp737BoQnntqk2RgHRcTSstAT8UCkbs5NUCQTUVEU5tP5WVbmwW2iO1ewF3ZgHkikExJB5XUb/RFVKBQK0hQWljDZLMPi6rPb3Lku4FPblvsxZgbbF1d5cPuY2maF+kEzyAM1Tg9Jbu6QyqbotXpsna+xf1+SHfyOmXP/DV7+qZ/k+ttHUjAtl5idNolqTfSA+QS97oTOaQc1pJLOpxn3x6Tzafr1FnpK3KHxZFx+dm5SWSsz6Aigt3cssODS1irt0zY4DhmvEHVdl3gyznQ8JVfK0W/1SWaTDNqSf+of/1FPorcuXN3kaK8p/D1zEejkQuEQqqoGtH89pgsSJOrHZ+WpHzS5eG2DeDzCm69I1An2gnSpwHQkTtClvfTG6wnqBw3CkTD5Sp5Rb0SxmieTiXL9K++CFiWsy2tWWi2JEWQwxlk6smeveEwko0zGUlgtzAXVtQKtel+Asak4006fcDzO9qVVWo0BriMO4v7tG6y9+AK6HuZ4v4llWMFxj6fihEISzB7RIqiqdPj8c2k+mVOo5Di6f0J1s8r+z/yh72hCgKIoSeALwN9wXfeXFEWpAB1EPPJ/R0aff05RlJ8FXnFd9594P/cPgH/nuu4v/ob7+2ngpwE21lafP7hzg4Cl5et4HhqHKap61rVBkQ6Aj8bwRzLvW/57tle0+RfBcU+wAIGr8P2fvV2/IwZnxPiHxda+/gm8AlK6Lv6oTwlHAveuu/DGrUjx6V/kgvGUh3XwnW1+huLZ88QzQyBRTxH9oRxGb/ldpFgqoMQH9+M4XlRSIng+SjQRFJeKhxMJumC+e88fk3qjYcXjocmeveLDJ9V7KBGfHh88tve1dJ28Uac31vLHXsFefMSCN45VvASEIJA8HDkbD8NZ4eMd09/4uN4JJoVFPC3H15x7XVk3gOMG408PaxKcY/LgZ0WssyRIPvBfO498HxybhZcV6rtT/VQG/3uXi7OxsHd8FV/z6CcGLMyzr71u0/uOn5wcD53b3nKcs2Pkdx5DYTlfJgPQY/K1656NJL2oKCWWOnvOC0M+8PgGCu95BM/HtuQ18otPP/DcXgR4Fdf/kJUpn51fvizhIbfqix/9vu96QsC3fbmOi2VJXmZ1vcx8Osc0bWFzjaUaD0fCQQSTnw1ozk16rR6FagHLtJhPDbqtEYl0glFHull6NiMRO5vSEYmn4ly6usa9T31KAr0TMRFRqyGuf/021XVPi+aNwIho9DtDrr9zTO/uXWbjGcvlktJKgdPDjoBwsymO7x6wfWmNyXBCpiTdouloyqjjXYgtSy5SyyW9RofMao2nX9hGURRy5Ryu63Lxyiq5co50Lg3GlOnJIbFEjJWNErevnzCfW2QKGYo10UwVyhk2z1XRozqtljgNVVUlU8wQTSVAgY9/4moQY5XKpjBmBrPJjGKtgO11tvTtJwiFpCO36DSCgmze6zNotDl3oRx06PSYjm3ZWKaMhEOhEPlKnsO9DlbjiFA4RDwZlzii+ZzJRPZ8/OCUsCYOTU3X0KvrqKpK+7SNOZ6we+uYWEK6NubMxLFtXv6pn+TVn/tn4rxc2JiDIanVVWlARMLs3zslkYxK0b1YoKpqUAiEo4JVKa/KqNmciVuz3x5gzoXnFs9nSRRytN97Rzo/5XwwGtaiGpPhJHgPCYVDkmXq4V0sw+J7PriFPZZCr9MaEQqHqNYyjPoj4sk4sWSMzfMroED7vXcYD8YMe0N2Lq0GxVavNSBXznHr7T32Hoi+LV/JQzjCwlqwul0lGtcZdvrMJjNG/TGXn9oKmICu65LNRrn+qc+RXV8lmc+IeWOtxLA7pN8WfVlEizAZTNjYKvIXf/wah5//DPPJnFwhBQqcHraDcbVt2cRyGRRV4eB+Hddxefa5DSbDCaHyOsuly2y2wHVcdi6vM2z3Wd2usbJeJJNPkkgleOLJNfn9i+qEQpJ9G41HGQ0mZIoZGrfvfUffYxRFiQD/Evinruv+EsDvguP4vvUwq7FUKgYXrICzFPx7cdbJcZ0zBMZSHMCKGsKde4DLuXSu/a6Kj3GQLoLHbtL0M8yA+/6CzrU88TWK6K8iujyeT3+3LSl2xr0zsbwnGH9/YWWfmQKcpfzMQwLuM9SB9/2eUxSQMac/jrUtMS94mi7XnMntvutxYUrBocdFi+axy1xzJhf9hSHdHb/DocXE5OBjHozpWQfQH3X6xZ8H0Q2I/ap6xnTzdFh4XRpsU54XLu6o4+mzpMMoHbBIgACRoG/vNfUF82IFD4T2frGg+I5cfy1t6SBpMXlN/S6pl0Lgd0Lp1+V5+a5XRfWI/b5LNizngx6XYtQfW4I4eP1j4vPS/PPDi49SQuGz8wo857BXMFuzoIBT/C6Tp/E6e15n96loUXwRvaJFwZZRdaBXVNTgg4h0Z9Wzrlfwt/8hxdNEatIldJ2lnB8hD3q8tM/ML6GIYEZ8yDKcoVUWhnDkvA6vZIq6Zx9SzJl0RyPRoEvoOkvvtbBlRD0fnRVxPj7DWZ4V2N8pt+Z3cymKQq2WZtlrMhpMAvq4ORZMguu4tI5bbO8UgkibZ17YQtPFUTafzomnxMr8wZe3aOyfoifiFGqF4ILfb/WDUO0bb+2TfvKlYISqqgq1rRrrl7Y42Zduyrgl2qXnPnSJyYO72AubwqVLMiJSFOoHTVK5FMbU4NyFMueePMeD20fU1oqENfll1KM6T74kbLDzT+5IsdlocPGpHVbXC7z75j79Vp/W/X3Wt8rcfOeAfku6F+VLFyldvkxEi3B4v445N2kd1KmuZBn1R6TzaU72m+zdPZXuYquPMTVkRNjqC22/kueNt0+obpSZjqbEEjGSWUlXMGbSkRv3x2SLWdSQyvaFKk989AW2zteY9EfULm6TyGfp9+XCGk/FGQ/GGHMRk6bz6SDn1JgZRFc3BUPhOSj1VJL67iGJVExGaDtV7IXNdDRldUv2tHGuhhIRh6NfFOlxnbCucf3tI9LPfy+jN75AIp1g5+kLvPjiFrZlM5vM+Mj3XGI8muE4DueubcuIOpdk50KZ81fWZRzYGVKsFsiVc8SSMZb2UnRcuRSJtCA2dj78MplChlgixnwyR4/pzCdzSqslLl7bIBrTyJayGA9ukswmefbFLUq1PL/676+z9fQl0jlBwExOjnlwt04sEWMynLC5U6F52sM82SexfYGIFiGZSXLnlXcxpgaml6gwGUrB4nPGrl6tBfmoh3eP6DZ6RJPxIPLo/q1jyfgcjDHnJtfffMAH/ugPSpRYOiGRYR6Ud2WzEoTD58o5Dh60+dlfeEvOf11j78YDzLmJs3TEVOGlY+gxXQrMhByzL3zmunR3l8tgTKsoCoZh8/yHL9Np9Dh80OBkr4EW1bh7S3SAIhkRXWcml6C2mpec13zxN38z+Pa8vyjAPwBuua77tx66/XfKcfxmjyLdDHOGksp7hUJUbl8KZiJghPkXWK+z4bsZXdf19D0emX06CLooIo739F9aXG73RmWuMRUYraelcScD/GIhuLD6Lr9QxNOtZc6CxD23nxQGXlfJmsnP+tw03+3nhaIrevysEFx6jjnf2anFvPGgIs5RX4/mu/hsU/7Ame5KUWXs6rkEFT0u/+cjFfysTvCQD0vhxXnaObd96O17fqZHWhhnvLBQREaAXhclyPYEGUFqMfkeZykYEq+AEWbYQrRr3giUaEpeo8be+wPe/U6hN251HUdGnMtFUIApvoHCK8z9Y+DfHgCJ/XQA0xvLzoZC0ffYePwGYb3vqPSfj9/5VNSQFxjuOTP9bq0HOHb9JAr/tXk4msk7DyV/dXFW2HNWwMu5aQQGDL+zFbhm/WNjyjlKJCodVK8Yw1l6ukbb0+Q5Z6wzn0HW2pf7mPSCojR4jUHO5/k4uI9Aw+j93gUfQrzlOksx1sRTcu6HwoLZ8HAcwe+N53pWPINAMO4NjDZ/ANya8ZVLbuRj/y3WXGy2m5c3OT1oBgHLS3sp/Ka5gRaLygVjuUTTpbhK59KM+iOMyYxMKRfcb66Qon7UJlvMyojTXjKfzlFVVUT+z21x91ad8WAcfI81nZIs5CiUswx6YzRdY3unwI13jgLWVTKbRFVVes2edKPmEqOUzCRZWctzcnjGxVIUJRiHpXKpYHRpLwTZ4GdrKqpCsZJjNjVZ2ksGHfn+TC5JvyPGAlVVUVSFQjmLqiqoqsJ4ZHgFpmjk5r0+0VyWiBbBWTokMgnmk3nQCfJD3D/04QucNicc7DYCob8akm6MHtOxFzaz8YxYUgoNTdcCZtzw3Veheo7VC5s0j1oUauJ0mY1njG+/g779BDsXVzg57HLxiRr37jQYdocemkHejFsn7WDc6I/ufKNFLBkjmYrRafSDEWv/1c8SuiATsPJamXw+xvFhV/boOUadpUM0EQ1cncZUhOvjwVjGuarCsDtEi2p87GOX+frrh4Qj4eBYX7pc4Wufv0W2lKVQStM47rK6WeLBnWNBcDhuMGbOlaTbOeqNSGaSmHMTPS6GlnF/TKGaxzIXUrz2x5TXywzag4DvlkzHGfUn2LZNJp9m1PcK3HiUXDHDsDcmW0gxGc3Z3C7w7usPSKQTzCaioTTnJqFIiFRWgu+noynFlSKDtujUVjfLHD2QmLBYXGPQHZPMJNjczPLaV+6hqEqA0qhuVBh0hLG3c67A/XttQuEQvWaPlc0K3dYAy7DYubRK/VgYZ7X1IqqqUD/u4iydgAk473a59OIVHtw5IZkRUW7/uI4ai5PKpQRaq8vI8/h/+vHvlFvzI8CXgPcAv9X0V4GfRKLpXGAf+Is+LkhRlP8G+HOADfylh3FBv9l64bln3Nc+92tnn9zxtF0POSfPnJS6F+6cORtn+h0qLx8TkGLE0xa5xlSKIm+E6TT3UcqbZxtYmGc6LzjLffQvgh4o9H83/jEmAd5DDoPiH7Sz5+CHofu6NG9/wZgyGBudaZ6CEa2z/A1OOksufgvzLCvSG5nihar77jglop+BXyPRswLSH79ZMw+Z8f6xJL5uLhQJijcfsIsWPxO++xmMD3WQglim5dK7eLtne/WPhx8Y7jkQ/eX6Oi9/POZ4F3BvpEi/7oWA89DIMXw2nvXHng+NYp2j25I24Y8ffWyKnjgbG/rdLEU5K5Qi+tmo2u8q+akIfuwWvL/76Rs/5IazfbrO2X2p6lkh6J9fS/tMo+UszxAfvoM2cIRqD2XJeg5lvyDyTQkg3+vz/vzj+NAIWwlHAseroqqigUxkRa/na+jMqZyz/nk0G8FshFJcC1yYgDy25z4Nfn98N7DvrrUX8j1Jz8Q07kIsxYvf/0O//92aC8v2sgI1tHiMk70G8WQcY3aWcQlQ2axhGRaFsqQB9BodXMclk41hTGZgTKmt5okn44x6I/ZvHQQIjM2dMnkvPDqWiGGZFkdHA+yFVP+O42CNJ1x85oKM1kwpTsaDMfX6WC7KWhhrNKJ32mbQHuA4DsbMIJaICapj6XD/1jHpXDIQfk+bDWbjGeZ0xtJesrElhUyunCMUCtE+aQeuu/nMIqKFGQ/Gkg/a7DAZzQO+mx7TwQVjvmDYn1IsJmjfvce0J88jHAmjZzMY42nQ3bAMi3FvKBFSwzGOYWA067z9zgnN+kAKPkUJtEf+8bIMi+XuW0waTWqbNVxXMhUt02Lte76f2rkNTvZO+cQnr+EsHTqnHeG6bV6mVCsQi4kDsZoXkX8oFGLQHjDoDjm/kw8MHz75f2kvA11Sb++Ao91Tlssl1mhErpAkdOEFlvdex3EciQg67gfaMD9TczoSuv/MGwf7UU3r51YERDs3cZdLSrUC9/f79Pf2SKaiOEuHyWDCE2tZ+STnuhSLMjY/2mviOi6Tep10XqKPkpkkxWKc+WRORIsw7A6Zjqaoqsq4P8aczlhdTQfEfD2m07pzn1giRqaQwXVdjnZPUFSFfClLp95l0mxx9ZktQqEQ9YNmgMnotXpEIiHWz9UYdQeAaLjCWtgLUh8HeavG1JBifDzl5KCFOZmQzsQYD2coqkL9oMGbrz7Atm0Ws1mA3WgetUhkRNPz5qsC3h12h1J0mnIuaLrG7q1jKYIdh923buO68pi+lu7KU+uka1XuXj8QGHCjI3rQXJZoXH6H59M5C3NB5yhAJn7bl+u6X3ZdV/F4jc94f37V/V1wHL/xg3DWefF5ZbYnzF9IpygozGwr0Iy5liEXKUXxLureOEpRpZDwAaP2IijMXNdFKa5JgeFf0PyuhzH1WGvetryOVlCYGZOzkG2Q7kwo4tHk1TNelN9N8/4/oOmbZ6JvxXejOvaZFsjbX+DMdB7CN/jjuIXoxuROFMz/0x8DPzXBmAbFquuL7MMabutAnJbtQxj3cO68Khffk7tyPz4awsus9Dtyy3/w34nwP6zL8fQD0f1u2fKMIxYcn0hUoL0eJkLxXY/WXC7sfji8McG1jKD7JMH2PcnPnA4CY4XPsSNTYvk//F/EqRgkFXgdSb/LpIqurfeJj8rrHE8FhbLrejgUz8mqhMI4rQOve7mQ8V5Y80bqXufKmkmxpMVwd9+Wn40mg+P1viLamJ45Tb20Aham1wlbBueXEtYCt28QS5XMS4HmF9wLU4p4HxjsF+T+CNbXzfmdXdc5SxbQYtA7le6ibeHDln1ci+uz0Ky5/H8yd9axNiYiDdBkkhbAkKMJyFY4ix+by1hzufDSLrzzx09q8H5H3IUp52Y0cTZOjXlGgf+dRvR3tx7p4kxRJaIprIVJZpIk0gmMmUE6l8YyLQZtj3/mOSA7zaHExBTEldhqDMgUcyQqVeonvQAK+rEffJqIFmHcH7N3r4HjuKxtVTBmBitbNYyZwbVnNlAUhWg8SqZW4mC3zuUrtWA0JyBYh3QuTaGcpbyzQaqQpbpRJhqPBmM8P9xZi2pMRjMSCZ1+q8+FF69JAZFKMOqNuH+7jqIqfOyldTZ2yhRXZCwbjUY8ZMWUVC4lrshCLjAn+Awt34036o04ORF9Co5LKptifHwk3LV8htmdt1iaBtWVHLguGztVUBVS5QLXvvcFkukYo96IZ17YxDbNoKMTjoSEGWcviVx8nq2nL6FpIarrZeKpOMlMkvpBk2F3yOr2CuZiiaIqlNfKAdW+cdTi+GiIaZh84cv3yRQyEmUVCbEwF5w2xri2CNXjyTj7e12qq3mmJ4coqsJLn3wRRVEwO21SlRJb61k5T849h7v7ZlCELW0Jd+/UpQgIa5KFGVsRuZCma3TqHRIJjfZph3AkzNMvX2TUn9A47oIWp9cZUVkvE46E+YX/7V20uHDEbrx7zHK5xHEc0YCFIoH5YmkvaTbGQXB6ppARV+5wIrmV8RjvvrFPvpIXPZzjkFxZ8UaB4uqtbsiINxKRX810rcqDe02WS3G0RrQI3daAfDnPvTtNTHNJPJ302H8xL5YsxXKx5MHtI3LlHMOTU3bOlQhrGubcJFMpMh4ZAUrjiae3MSeio6vurIu5xXHIFDNBQe53YEOhEK7jkkhoRDQvriwuQNpoPEp2bYWjvUbQATamBvt7XRaWQG6NmUGmlCeWiAmbbSTjkHAkzLg7IJ7NfMffZ76ty3daDpqBdkto/VNPlK8TAEi9UaAPDlW02Bls1R99TgeBlR9XKPmiw5oH2h0/jcAXPitaTLQyflemdyojs1CY5b//ObldjwdOT0Zt4Y15tHUfwKp4QdiuDxn1BNMoKqQKHlTXOROuL23ROelxKVRs68xd6YnepUiUi3HQhXOWsDDR/+4veh0lN8gExRsz+nmWamULQhHUyhZKcU0yOwGlsuV1awQXoSSzcixCYXCWhP7sX5W8UFUNRqlO4wEBxsEfj/ljOl+Hpoa97ltYjrmHnpCi0pWCL56R1zaWluetSwFAKi+jV79YV0N8+dyTKGGN0H/5MwIUjia9183LyfTHcQChCPlPf0WOVyzlYTnUMx2Zh9xwXRe1vIk77snY0h/VOh4qwpwFrlEUBfXC8zjvfF6Oj3+7P4oNhUGPs/zKvzrTn/mFqR6Xc8kDwgI4R7eloJ95+jYfMeJrF7WoHBPXwXn135yN8X3chn/sA7ewE3RkATkfnGVgJiGaBMPj2vkFn4e1cD1tpWsv5DXxxs5B8ejvz/bimIZtuY9Y8uwc9bVnPjfPhxiHwpKd6uFBFD3uRaqZfzA0Z47joEfFiTEdTyVqR5FP2XpU5y/8qZcDvQ3AeDAWcXR3wHQ4xZhKUPhyuWTY7DCfzEmlY7z6tV26DRm7JNIJZuMZ9eMOG+dXGPXHDE/q3HjnKBCR+47KVz9/g16zRzQRFfL/YMLSXnJ494jJUDRxrisX/2mzEYyuEukExlSCsZ++XCJfzTMcSufLH+FlixmMqcEv/MvXsawlkUiYQiVH47jNsCsMM0VRMOYGk+EEx5ExWTQuHZ5xd0D9vevEkjFG/bH88kY0WjeuE84VcR2Xhbmg/NJHiWcz9PszCIWwrCVaQqCpd28c0e+MUEMqr7+yixaPYRom406PYW8kbDHL4rmXz3F60KLfGRGLRRicNBh0BgHEtXnU4gufvcl8MmcynDAdTgM2XGvvGNswGbe6gRjcnAlQtXHSI5pKUF0vC2h1ZnLvnfuQKqDHdF77yh3S+TSJag3HcfjKl+5SXhOoa+KZjzB9+8tUqmlWt6sY4yk+sysUDpHMJFEUhX6rL0YCw6Tfn8v4uDvg+KjPqC/i/VhOXJAvPS2dQd8165tNVFUNzA/hZJJuQ57LqDeidXCCHhXRvmmY/PD3XRATyHgqBhBvXBsKyZtvsSLO29M7e8KpsxbCqttrBrouNaSiqqqHf4kwHU4lNqk3IpuNki2KSP/wQYP5ZE6n0aO2WcGZDHGWDuXz27z99V2ypSzltTLDVo/xYMz0+is8+ewmN99+QHlzFUVVaHiOz+HdW8TiurAD3/oy5vSso+a6LicHLaLxKLXNCqqqYswMBodHJDx0S7aUxY8MG3aGgXljYS2YjqbBhxwUlWFdsnNj6eR3DaXxbVt+5ygrsVSB+02PSwHkjTcDJ2VYwzm5e9bp8YXHfpH38JjFsXE7R94oSZx96HHc+q78rDe6dG0L544njfNHWR4XS3n6IzDu4bYOvMxPB9KlQMflDttyvx5lH5DCw5p5lHmvGzfqoCSzMGp7RajiXcw8U0E8c9b9mA7xx41BATTpBZ1AZqMzOr7reugMr0PodZbcyUAKKb8rt/SOhetI0RRNvA9Z4heN7sL0xOmWMLL8nFPHQUnmz5yOPt4jcCU+PF5byEU6EpWulOeqBEWOAQR/E03J6MsrpLBmAbPLffAOH7n/jujPAuAvQUHuU/9dXyzvF4qTgX9yBR193+nrHlwPjgeJrITG+8YE1+tK6QmwF8Fo0zUmqFc+IMfQK7AJa2faRjWEsnbBi6nyOqZ+DmbOk2eGNSkGVy94fDMNd9CS/TcePOTydIO4K/XFH5YiKxKV18Sxvc7T8sy1Ggqz/JW/f9bZtObB4/vMMSWZldGwbYG9wP7LP+mlPETeN2aVF0Y9+z1wPQacrxVLF+Vn/BHusEWQVuGDel3fDStFvLu0cbsngf4w0Ep+C9YjrTkLF3bcjZ/6WRzHYdgdinMwqolD8PSQSHlVBP+OG1DqE+kEmXwK23boNiTE2ZgZZAoZ4nGN04MW1fUSh/dPyFfy5AsphoMZw65EdPgYiZ1LK0wmFqO+uB1jiRj1ewfkVitkcglOD1rEU3HS2QTNkw7ZopDyjZmwxcb9MblyjogWobF/SqaUYzqcsrZTpdsaBmiMUjVHvzNGj+s8canMW28eMpvM2DhXY//uCc58RqJUIJ1L02v2cByHeDLOfCr6qaW9RI/qlGo5FguHyUiyNTN5GZP1W31CkRBb52vs3jqmUCvQa0qYu6LKCRsKhYJ0guloyvzkgPK1a2dFSSLKsDcOigQ1pBKN6ZzsHpPMpYlo0j1KpBJBvFREF02gpmtBdimIuzEaj4reakVii4qVDL2OFJ/9ZhcmfdaeeZL2aZdoIkqxnGE2W8g407AE8Ovd59pGgdPjPuFImEo1zfVf/EV2fuQPc3rYJhQKkUgnWFlN027PqB80JHNSCwfoiOHhEXqxRCwhYd+WaVHbKNM86QQ/7zgOw47k6GlRjVwpy3ggvKGFtSCWiDF4sEvp8mXpzpbz9Jq9oLgPNImZJO3TNplChoW1CPJRl/aSVC7F2NOX+eiJyXBCKptiNpkRCodY367Qqg+k0NPl98Cn/m/uVGi3xrSPGqSLonubT+aEIvLhxU9usId9krUak2aL8rktWvf3eOID19i/38Bn7KEQ3D/AuUsr3HjjPulCFi0qXcdircigMyCejAe6xUQ6QbfRFaBvs8PK+Q0ymSgP7p6iewkKw+4wGPmHwiGWyyXhcJhiJUO3PSKTS3Lnb/7QdxSl8e1ciqKMgTvf7X38NlYRwYc86uvxPr+16/E+v7WrCCRc1y39h95R+Lf+lu/iUiAcVplOzKCDUV0rcDyekd4+LxeK4yb5WomIHuHKU+vs73WpHzaxpzMytRI+0FVRFNr1PplChkFXOk7bO0UO9ntBd+XaMxu8+cp9HMfh8EErIM77BUblnEQmNY47rO9UGQ3nDPvyCctZOlimheuIAL22WQ2E35lSjmF3SKaQYTI2grHbhcs1brx9wDMv7lCvj/niZ28QT8VRVZXD3bqMsfJp4skY3UYveBw1pHLhyhr3b50Q0SI8/fwmX/vCLYlT8oCzlmlx7kJZQLgunB51yZVzNA/qFFZK9Ft9Sqslkkkdx3Fp1eX+taiGfv5i4E6MxnRO9xtBh3JhLYgn4/Rbfa69cIFGfSjaMa8zsn2uyIP7baYjGcPKa1YUt+hJk0QxR/OoyeaFNUxzSSaf4mS/hTkao2dSqOEw6Z1z9FoDKmtFDu+fBLqkzmmHaDxKuZpl/94pH/meS7zx5iHzyVxAtnGNnR/5wzz41V8h9/L3M5vMmI6n3Hp3CIrw7OyFZIqOeiPR1SXFcOC6blB8AmI2MRdEtAilajYo3pOZJOOBpCKYwyEXn79MJqPzWqvHsDtkZbPM/q0DwlGd6XjKMy9ss/eghzEzJEZrrRxES4mDW8LB/T3kSjnCWphRb8THPn6V117bZ+NcjcZJl8PdBuZkwvmnztM46RKOhInGo/SaPUYjg/Zxk1Qhizk3KdYkPmY2mQXau2g8ShdET6kIayy7vkqrOTorsNOJ4PchlRVOUKs5BssgrIXp7B+jRGMMu0NS2RQ750u8+cq993H5Rr0Rl569wOlRl16rH0RoLayFt7dicCymw2kQiaaGVOYzi99n687vhUJTUZTXH+/zW7ce7/Nbu36P7XPrW3Ffj/RYMxwOcfTODcqVDNGYIBtadYF+KqpCOhNj49IGG1uiYWk0JnRv3cTev0GikMOYibaq+coXaRw2sExLEBxeh81xpPOhKAqargllvpjBNeY4jkM6nyZXlqxGX9jtOi6u49I87dFr9rAtG3Myk45BXjQ6ET3CyZ199KgwcGbjGYlUIhizmnOTQiXL7t0mi4lQ8iejGa4xx3VcYklhcfkXteZRi4geCRhis8mM/d0mK5tl1rcrfPWz13FtG3thU66k+d6PnGc+nXP/blOKLQ8BMZ/OUUIhht0hl5/aotfs0TztYVlLZuMZ05GMgnfOS9Ev5gEZ47304QuSGgAYM4NsMcvevQZqSAwJxsygd3SKrnsA29GIUEgu8MeeBilRyGF6qI6DW3skkxrGXPJLE4WcID0yySAA3jCkEOw1e6RSUZyTu6ghlV53Qm2jzNvvnjAbCzIjokc4vHPI6WGb3MvfT//Vz2J2O0yHokOLJ+OBOQMX3NYBtc0KiqKwtl0VDeJgTFgL020OKFQLAgbWwty/cYDdPkVVVYbdIbFkDLPfo3ZRMB2vf/Uu565usbZdoXXaQ0/GsS0ZqQyH0v4PhUPoUSlcYrGIlwOaIaJHyJRyEtdlLXj5hQ0G7QHpXJp6ayJO2/lCWHPWguJ6jfvvPWA2lu5qMimQ4tP9BulCNmC6ndw7COKQLMMim08JcNgF48YrqLE4raMW9sKme9pmVG9g3HtHdGFTg26jC4hUYNgdEk6lSaZiFDZXg+PZb/W5/tZBEIDuLB1cx2X93AqjkRlEneWLaUKhEBEtQjwVl2OYiDHuj2U07HVt8wVJA3m8Hq/H6/H6g74e6eLMdaF86SKmaTO8/W7w6X46mpJMJzjZl0iUo8M+juPIyD6ahEQOe2GTzCS5/e4e2s6TVNYrhMIhahsVcUuOpuzebQbuxeHu3QC7oKXTLLyulzkzuXBlXTofxy0W1oJsKSsxRkBEj8BsRHWjIpqyl86zvVOU/MbB1NuXIuMbX6yuhWkctbFMCzUapXHUlgxFR/ZSqeUCI4ExkViolfUi25fWvAMDpWqOYX9KtzMO5uihUIh2a8yrbx6j6RqTwUSo/daCfCXPynqRUEg6YMcHncDY0DxqUagWiCfFybK322HcHzMbz4JR6qtfukv9uEtppRTAaKOJKLZlB920SCrFzeunjJtt0KLioPTSD3xBeTKbBBdCehTLWrJzroDudZnMucmoO6BQyTEeSaFqmZbo+nbrkJBxXee0Q+u0GzDa8mUpQJRwmFAoJCPU6nlo3A/YchE9IkkSjsuoP4JkgeP3bgPQqvekaJtPA2zHZDjBddyg01a+di1ISjCmBno+z6Az4PBBg1AoxO7NQzrNIbPRRI6FHsGczun3Z3TqHXG+epqd0cjAdVxUVdywlmEJTiSm8+6tFlpUY9Qfcee9Ay5dXcVxXGKJKOl8WrAaqQTltTK27TCdys9W1iuYhslkOKHX6sGkL2gWSwCynaa4WB3HgcJ64PosVXOwsCif24LVS7iuEP9DXhHvu1uLtSKO45LOxNF0Dcu0qHjnvI+PyRazrG5VaBy1qd87kPxRPcLpQSvgoE0GE55+YZtEOsHaVlk6waqK4zicHrbZ2i58299XHq/H6/F6vB719UgXZ4qi0DpqsHfniPJzL5LMJILYndlkzvbFFY52T0mlYwwabRpHrUDYlylm6Da6KIo4PtsnbQqVPCd79aAoGQ/GgYNs/YXnSOfSDB7sYs1lhOOT0W9+5W0JanZdcQGedghrYRLphOhyNBk7LqwFN97a542vio17fasoIE/HQdM1/JikdC5NbaOMH/xszk0uXVmR1HtFodMaMegMAsG0vbC5d+OAk/0W9niIOZ3RbgjhXY9qklhgzlj2muhREeDOp3OWpkHUg+OiQKsxAIXAhOCPV13XlQBz08Ia9FE8+K7PB3NsG3s2o1CW7MpQWPRQ09GUfrsvrLilaKsW5oJ0tQzGlEF7wMJa0Gv2yBVTQXfFPr4bYFDee+sQEI2TpmtUNms4jstkMKF9eBrsLxqPEqutocckm3E+mrC2JcWBX1CAh5OIhCGWInzpRew7r6GoCq27u4S1cKDZw3Uont9hZavKdDT1YqwU5o3TIFB+uHuXRCqO+eC6IFJGPfwUAtuySeVSUsDZ4kx0XZdoMs6TT66wuPsGuUqB+WQeAJH9PZqm6PKOdk8FcHv0IGC6LSybSVPE9qlcire/+K5ndBGMxWw8wzjeY9AZ0Gn0UVUp/Dv1DhK/KA5jYmn0uE7v5rvEE9I5BRntki5IkR3XyeWiaOk0/XYfHIf2seA6bMNjws0MiZ0az+i1Bgz704C2MOwO2b64QrmWJRwOM+qPKJUSlFbkw4ltWswnc8nnLGQCBM7+Xo/OcZPGSY9l/QGWYbG2UWA2HHP31ncOpfEdWn//u72B3+Z6vM9v7Xq8z2/t+gO3z0faEKCVz7vn/8LfZe+2OCdzJYFwLizRAsWSMZJJnUF/yqg7IpkVpIAaUtF1uahXqynefPW+MM76I2GPhVSKlRz9zgjLtAIX3mw8I1MQIrtlWkxPjsmfP4ce1YlGw8xmgh7w2UALc8FTz22wu9uV8eZcRljhSJiwJiHXfh5kbb1INBrmcK+NsxQmV7Gap3ncJplJks4maBy3iWgRNF2jd9pk68o2w7448zRdw3GcgNuVyqUAybYEYd0M233ytSKJZIzRYMKwO5QujhZheOc9yEuMT66YYX09w2tfvedpqMasbVfpd8cem02h2+jxwgfPceumCMUnw4mYAVQV0zCDjoe9sAPkgiA3wkFE1csfvczBwYBes4c1m8N0QPHSJcb9MbFkjEIpze57u8Qy6aAQno1FI+WzznyQ7HQ0JZlJBsWY6mXF+aBVX+T/xJPr3Hr3KCiwFFVh8taX2PmRP4xtO0zGc8yZGYSMh8IhYskYvaMGsVxG3K69EemcuBJjiSjT0Yxhb8gLH7rEvTuiv/M7q343zA+eV0MqxtQIzgHXkWgwy7TonbaJxCQwHkU0dJlChslwwtp2lb07R4TDYfLVvBSxC5v5VJhpuWKGQVciyMy5GYzj/S6ws3RY3SrTPO2xMBekcimG3SFbF1bp9+RcSKQSgXDfceT1i8aj5PJx5vMFnUZfUiXaQ3lcXZIL5pM5yWySQiFB/aRPdSXH4YOmdCgti+0nz2FZS0IhhfphS2K6vBzVcCTMZDjB7jSIlGqS/+qZDTKFTNANnwwmRHQ59+t/74/+vjEEPF6P1+P1eP1u1iPdOVNVhV5nRK6c4+rT60Qi4rDz0Raz8Yxuy2N6KUKiV0MeckAPc3j9Hl//8m0K1QLhSJhnX77Axk4FXKgftlhZLxBPxRl1R6ysF6ltVgPhcjgcJrezg23ZMrLJRmnun2IZFsZMwHR6TOeNV3bBJWBdhTXJ90xn4pRqeYYdGXWNRwa33tknGo8GOILmcZtcKSdut/GcdC7NwlpgzAxe+J5rgqvY2wMI6Omz8Yz5cETroI45Mxns7wfOw1Q+QygUonXSYdQbgeMEQv3/6Kf/CGsXJLposVhy490TFmOJ+QlHwhzvCYZhPpmzXDpsX1zhnTcPmY7E0r9cLAMqf7aYpbhSJFvKsn5+leHxKaFQiGwuIaR3LUJlvcKD3S7jvkS0rF/coHzlCa5drWLO5qghleZpj0Q+y3MvbfMDP3CVaEzHMiwswwpcffbCJp1NcO7yKvbCRg0J0NVe2CRSMaKJKJUNwTkkUgna7Zm4DaMaiUyCSb0emASiUWHbbZ6rBFy4hbWgd9IkXSlSrObpvfYl4l4k0rg/ZtgbMTw5pbJe4fWv3GH7XCnQfzmOg22YXLq2QUSLENEjPPX0Gpvna0yHY/SoTjKTIBoNU61lyVYKbJyrYc5NIffXiswmM1zH5fSgxbMvX6C8VmI6mjIbz6jUsiwX4lA9urUXJA8Mu8Ng7/bCZut8FS2q4TguG9vlgD8WjYvxwC8WfZyHoigszAV/5seeBKBx2ufwnpD7e62BHNN1OaaVakZ4bEmdW+/soUU1Dh80iWgRVrZqXHzuIuGwyngwoXncobZRZnhaF7dpT1IXnv/AeRJrm8QSMbYvrKCG5LVylg6NQ4lFS2aT2JZNv976Tr7FPF6P1+P1eD2S65EuzhaWQC8vX6ny3lsHLBbiQvTjZcKRsFyEvI6N31mZjqbcu3FAOJUWZ9ixCJ/v3Dihfiw8nXQ+zemRjD0T6QSnRx3BI3g8MGNuBEHYjuNwfDQgU8oHHZlwJAweOHTYFfitaYh4vn53j353zMG9Y2pbNbRYlFFfHHF6NCIdm1AocAb2W31UVUXTI+CKm67bFa4U0USAZEhmEtJFqZVJF8XVl9nYZDae0W/1z0aI5Rxu9xRUlXFvSFgL82//3XW6zT4RLcJ0NBXhtR6VIHJL/lgnD5hP5zTffovd28cS4bNWonvcYGWrQraYxV7YdG7fFvZaf0zjqEVmbQVFVTg9bJPOxAJtkRpSmY6nxFNxTvcb/OBHtvnKF++A6/L9H9rBmBo4S4evf+Ueb11v0Gl0RXsHgct21GhxcGuPwwctpqMpw86QdD4NEND4m9dvBAHkdY/TZS9shp0hiWoV23a4+If/CHd/5ZfJFDLc/OJrgQYsFA6RyGUl7iutU/nw98vId7lEj0uY+/q1i4z7YyJ6hOtv7tNr9oinpCMJcP/2iXQ7D0959Sv3ON5vkS7IsTrdPWY0mHHnvQPmkznH+80gLuvc+QLVtRK2abKyWebWe0fY9lK6uKMJu7ePcRyH6nqJSDKB67pUVgvUNqtkcklKNcmUvX/rmMlwQr875tZbuwEs2O/yAkTj0YCZZswNktkkf++fvoo5NxnW2+AsA9yJMZNzfz6eEonIB6HmqWjKRj3p3tm2TbfR48HtYw7u19FjOqFwiMN3b5PflPFzSNOwLZt33xRzwuZOiZPDjmg8j46Cwn3ghc7HkjFKGyvfuTeYb+NSFOWHFEW5oyjKfUVR/sojsJ99RVHeUxTlbUVRXvduyyuK8uuKotzz/s55tyuKovy/vL2/qyjKc9/Gff1DRVFaiqJcf+i23/G+FEX5Ke/77ymK8lPfoX3+dUVRTrxj+raiKD/y0P/9194+7yiK8oMP3f5tPS8URVlXFOVziqLcVBTlhqIo/7l3+yN1TL/JPh+pY6ooSlRRlK8rivKOt8//m3f7tqIor3qP+QuKomje7br37/ve/2/9Vvv/RuuRLs7c5ZJsPsHJyQhFUWgctiiU5UIaT8UZNNpcuLLGsDciHAnTa3Rk/BZShf/kdb1AkAX2wmZ9q4iiKnROO4xuv0P33n2G7R7ReJSXXtoiokdY2SxjzkyKVRHmV9fLtPeORJy+XDLvdOjsH4vg2hZBPECuJOT+6oUtcdbViowHYzbO1UQHpEAiob0PyDkZTrBO97EMi05dsjct0xtV2jaFtSrDjsQA9Vp9ht0hC2vBfDonl0+ihtQgF9MYyHGYT+ZEqhtk8hk2Lq4HofDzyVwyJU9O3sfwiqfiXHv+HIntS2hRjfWXXpQOW69Np9knkcuyuiojx2w+Qe78BZ55YZt4Kh7orjRd4HuHu3UmwwmzyYxxf0w4LPsJa2F++d8JKiSkafz6F+8Fbj5n6UhxOxiSyqUor+SJpyTwt7S9DksxUYQjYdbP1ejXW6K9MiSFoHj5cjDu80etxswIYp8m4zl7d08ofvgTdL7y6+TOnUfTIywXUgi6rsvKZoUbr90JKPij3ihAeBzdPZRkBC2CGhLxum3ZzCdzCqvlAGehZ0ST52sRE6kYtZ01JsMJl57cfF9hH0/FuXO7yelBk5AmXS8/t1RVVVL5DOFImPNXNug2Bx4tHPZeeZ2TO/v0OyMaRy0cRxAc5bUyP/ixi6jhMKNOH0VROHd5TTRmiPPW9bAwPs/Ons6orOQIxWJEYlE0XcOYGUEHmumQ3buNgCM4n0p3d9CRYkpRFZ7/4HnshU375g2MmcHWM0/QO2rQPm0Hx2U+HBHRI0wmFuNGk+ViSbxSZefyGqqqkilkmA6nDDqDgK32e3kpihIC/ifgh4ErwE8qinLlu7srAL7Pi6jyR8Z/BfiM67oXgM94/wbZ9wXvz08D//O3cU//X+CHfsNtv6N9KYqSB/4a8DLwEvDX/OLj27xPgL/9cPSXt58rwJ8Erno/83cVRQl9h84LG/jLruteAT4A/GfeYzxqx/Qb7RMerWNqAt/vuu7TSN7uDymK8gHgb3r7PA/0gT/vff+fB/re7X/b+75vuP9v9sCPdHGmRsKc7LcY9ifMBkMUVaHblJBox8vfun/7hOpqAXNuEk0KkDaZSQZi9ogWwTXN4GJ7/5Z0OQq1ApQ2iRTKhDSN7nGDz3zqPVzHpdcekS1l6TYHknf43m30TCbo2OU318nUKtgLm4/9wDWcYZdQOES/0WE2njHoDMiXpHOyulGkfizpBJl8hkIhzuDoBGtuEEvGpFvh0cND4VBgNHjmiTLRVILpaBoYEQQD4TDp9tFjOkd7jSDcNhQKkSjkqG2UAuzHbDLDmC9IZVOsbpZ44cOX0LQwRKKksskg9mrUG3H9i29ITFSrw9GtPcKRMFqhHBQo19+R2KLD+3Xm0zlvfO2+FIz1DtPRlMlwgqIo2AubeDIugeCuS2m1FISzh0IhiuVM4BRMZpPBiPjHP3GZrScFATKfLxi0B8wm0hFUY3GG9bbAYAdT9FSSdD4tXZipwaAzYDaWgj2sCfvLNz3EErHAcdu5cyfAbEyGU9L5dBA4f7R7SrKQI5dPBjFfo96I2kaJ/+gnXsKczkikE+K89Ry+KNA9bpDOJrlwbZOwFiaiS3dUDalMRjMahw0UVeHm63cEGxEOkylmhAkW1YPObbveIxwJky2k0WN6UKDfff0mpVpONGyRMNkLl1i7vBWw3bSoRigUonPa4V/9m3cEw5JLM5/OabdGDI5Pgw8CajgcnEd6TEdPC8ds/VwteEzHcciVcww6A5JrEuUU1sJBp3cynBBPxYNR7tuv74n2rbpOIp1g/84x554+D8sl08GIVC5FIpcVXlq9RziVlrF/Ps3d126QK+coVSTuprxWxpga3+m3mW/Hegm477ruA9d1LeDngR/7Lu/pN1s/Bvyc9/XPAT/+0O3/2JX1CpBVFKX27diA67pfBHr/gfv6QeDXXdftua7bB36d37yQ+lbv8xutHwN+3nVd03XdPeA+ck58288L13Xrruu+6X09Bm4Bqzxix/Sb7PMbre/KMfWOixcXQcT74wLfD/yid/tvPJ7+cf5F4OOKoijfZP/fcD3SxVkoHMJsnmDMDBL5LHpMx7aFtj7tDYjEopRXCkSjYXKlnLg4775D/703JNcyqrO2XQFzihpSqa3lA8fc0l6ixaKoIRnbpIp5L1tYYXj9dSaDCclskq1zFRJV0fTkihKs3m9L1I85N/n8r76JXq5SWS2SLua49OSGFHR39hn1Rty7cYgxFWJ+r9nj9a/dp3x+m5WdVWbjGTgOybwI0Wf33iVXyvGjn7jCF762h6ZrAV0+X86xtl0hXcgSz2aC8d/CXKCoCtP715meHnO81wiKlHwlL5iLVJx2c8jJyUgMCKU88XiE8lpZRO/JGNFyVcZesTiEw8QSMVK5FLZlMz24Tzgit/nF1+q2HBO8zoeP19CjOheeEF1VKpeivnuIFtWIJSSpYfftuywmU8b9MdOhOBTVkMo/+l+/xuF90a41Hhxx7soG5tzE7jVJZVOkygUWgx75QoqlvSQa14N80WKtiGVajLuDIF90eOc93NmEabMhsVHNEaXLl4knY2Re+BjD1z9PLBHFNi2iCQm9nxwfcXD/VPJUM/L8e+0Rv/yv3gTLkNd8MiFbzGLNDXKlHLlamU6jR/O0H0BY2/UuZrdDMh0nlU1JdFVSWGDTlnT9fENBtpgNdH3pfJrGYUucla4cy1S1QiQS4iMfOc/wVMaHvdaAtZ0qqVwqcOLWNis4S4dCOUuumIGZ8MlS1UoAt3Vdl26ji3myx7DVw5xM2L11xP7bt5h0+0xuvsHLH73MsDPEHg1RVVUcvIaFbVmksqkAj7J751QKSBfiqTjxlBTkyWySxnGXZD5DebNGIi1B1lvna2i6Jlozx6Hf7qPn8gy7Q+5+8WvoWYkvK9R+X6A0VoGjh/59zDe/8Hwnlgv8mqIobyiK8tPebRX3LNS9AVS8r7/b+/+d7uu7ud//szcO/IcPdZYeiX16I7VngVd5hI/pb9gnPGLH1OvQvQ20kCJ1Fxi4rutDGR9+zGA/3v8PgcLvZp+PdHFmWwu08gqpbApjaggmIRzGGE+JZ4XsDnDnvUMiWhgtqlF47gPkn3qBrfMSUl4/6nD+5WeIxqPUj3tBGDl4jDJXOjiqqpLMJLEXNpWXPyIXsnqX48MuiVTCc+a5ZAtpUtkU6Xya2mYVwmHC4TD9zohRf8Std/YlQqpSJJ1PE0uKOzRfkvxDRVHot/uc7h4LoT+XDlIFkpefQdNCfP29ujgcTYtkJsn6uRUG3SEn+63gAjifzIVwryrkSjmSF59EzRSE49UbYVs2YS8UfdgdAtA8anLt2U30mM7hbiPAKxSr+QBRoYZUyhvVwODgui7xjXMUSmkKJXk+lmmxWCyJxgX9kUzHmE/mQaF3uN+TCJ/uEBQ1iFpaLpfk11eI57PiNlUgFtdY2azAcilaqmIGPSnBs6lsipWnrgUIDL1QBAQF0m32vBilMZoW4sKVdarbq4FhZO3lD4CzpHhuO8B+jPojmkctQuEQqx//UU4+829ZO79GvpTBMi1C2SLZYpbaeonj/RblSoann10nV8qx/YyMTpOFHOP+mHytSDQeJaJHqKxKQZFIJ7AMS/IsL56jftCUHNiYTq4skN14qSQfEBQ5/8aDcVBk+RqsUEQirizTIldMc7jb4LOfvkmiVAoiyU4PWgybnaBobh63SWQSLBYOx5//dSLZPKGQhNU7jsOoP5JiGqg88ywr59a4+uIl6ZDmCsQyaaof/F5uvHssmr6YdAlD4RArW1X0eIxRf4SzlO6qbdnSlfa6usZMTAd6TCeRSfD8C1uYc5NBZ4C9sDk57IhruNPHnJusbVUor8rxTp+7FLiQfX7g4/UtXx9xXfc5ZPzznymK8j0P/6crLfhHzrr/qO7LW/8zcA4Zd9WB/+d3dTcPLUVRksC/BP6S67qjh//vUTqmv8k+H7lj6rru0nXdZ4A1pNt1+TvxuI90cRbyxzCOoCd8yr2ejDMbTYRMroe5eG2D6XhG67hFv9XHXtjc/sqbWIaFHtM53m9y4XItGHOOeiMGrR6VlTypXIqFuWDYkeSApb2kuX9KOp8mnU+TL6ZIJHWsuUGvNaDXGpAtCKag1+qjJ2JE9AizyYxMPkMqm6JYEn1WPBkjHJYxUuOozWJuBCaC1fPrQr7PpuTirCrEU3H6nRGLhRNwoWbjGUe7p+RLWRKZRADhVUNS9Jhzk367z2w8IxwJU6gVyJayVNaKnOydMh1KNE6pkqG6UeHOjVPG/bFgKyYzwuEw9cMm6awEg7uOS+vBsaAcLBvTkFDy+nGH/bsnZItZ8iXhcc2nc7LFLLFYhEI1z87FlcBR6CwdYgkZsYVCQsfXYzqKqgQuQ03X6LWH1A9bxNJJ2qcdWq99laW9pNMasrSXtE7aAbri/OVVJhOJ1FoulljmgnQuzXLpsnv7hKW9ZHh4JEDT/QZqKks0pgXORpDCZ9QfcbJ7zNoP/CjHn/63LBbCocsUMyyXS04PWqTzaXZvH/P6qw8Y9Ue0TntMh8JDy5VzjHojiU3qjZiMDRRFCbAQ2WKWZ5+sBR2lyXBCoRCn/eAAy7DECGJZhB8S7k/Hgg2J6BFiCdGJ2Qsb23aIJWPCkbNtLl7doN+SlIxMpUi2kGYynASj/H67T/Hl78V1XXHFeiHtekzHnJk4hzcZdoecfv5THDyQfNhYMoZlWDSPJGzdcRxCoRDz6ZyXP3ge05BcU9uyA0gziriVI1ok6M7OJrMASfPVL91hOpySK4luc2EumI6nfPjj1wDYXMvQOu2wvpFjPp1z4ZJ0An1d3u/xdQKsP/TvNe+279pyXffE+7sF/DJykWn640rvb98q+93e/+90X9+V/bqu2/Qu3A7w/+FsTPVd3aeiKBGk4Pmnruv+knfzI3dMf7N9PqrH1NvbAPgc8EFk/Ou/WT38mMF+vP/PAN3fzT4f6eLMdVwKlRwxT0M0Oq2LRieVIKxr7Fwoc7TXpNOZoEU1IrrgDOyFjZLOE4qE6NeFu3TznUOmwym19aJonpwl4XBIooJWi+jxWMBAK6yWiSVk5Ll355jTwxYYU6Y3X8NxHOqHrUBTVV2T/M58JR+AWOfzBS988Dydele6DY4wq2LpJJlCJojXCUfCQZzUdDQNgrdnkznG1Ag6Y6XVEsOeYC8W5oLpyTHZkoRQv/ihC4AYHvzuw7g/5mSvgaZrQvFf2KRSGtmsXOSzpSwgI1EfjjoaTAK2VWlrle/7/iewbZvlYilss5kZgHkbR+0gmsp1Xe78yr+i3x5wtN9mYS5IZMTNN5/OeeHFbYatDrliinROTBqxRCwokv24oUJFzBRrH/4eQuEQw5tvY9sizvc1Uvu7TcJhNeDJGTMDRVWkSI7ptI8a6MUS4UiYzQurxJIxjh+cSqbmfE7YSxDAhWQujaoq1L7vR6h/7lclx1SL0Ns/QlEVmnvHAgmu5gOtoTmZBHmhqWyKaFwSEmbjGcODfQl816RQ//SvXQ/OYWfpcOPV26xfvUA0EWU8GJOplshkolgDSbdIpEVfGEvGZJzr5VsOu1LoZotZ9KjO3r061Q2ZSAyPT+k0etjzObPxjHFviFE/DvhisVSCUX/E5sU1LMMiX8lTfPEjFCp5Ms9/FGNmSEbo3CRTyJDOpxkPxoz744Ahd/+BFKDZYpZQJCQuVT2Cs3QkvmxhM9m7x3Q0JaJJ2H0qmxJH53jIeDAWp3E2yXQ05ZUv3kHTNW7fE2ju21+/jxpSOTwUqPLw9rvf+Teab/16DbjgObo0RAj8K9+tzSiKklAUJeV/DXwSuO7tyXfh/RTwr72vfwX4Tzwn3weA4UMjse/E+p3u61PAJxVFyXljsE96t31b12/Q4f0R5Jj6+/yTnnNvGxHbf53vwHnh6Zv+AXDLdd2/9dB/PVLH9Bvt81E7poqilBRFyXpfx4BPIPq4zwE/4X3bbzye/nH+CeCzXqfyG+3/Gz+2Lyh/FFe4sOOWfuJ/ZLC/T6wiAMv5ZB6I1BVVBOgRLcKk2aK4vcG4P6a0UmDUn1Bby5PLxXjvrUMSmQSD9iDoNpVWS8wnc8q1LHt3TkjlUowHY3BlPDUZTlge3GDjYx/n8O4RejxGtpTFmBmkMgkBmg5lBOPnJiaSOpOxEWA1XMcNBN/m3AyYVoVaIRCEr20WONrvMOr00ZNxcqVckKE5n8zRohrj/pinX9zh3u0GjuMIt0oLs7JRZu+9XbIrZebTs7gjPaoHo8RoPIoW1ZgORQ+lx3WWi6V0uPqjgHYf0SPB906GEy5fW6d+OgpCqZf2MgC/ziailQtFIqJtK+fpNrqi0Wr2UFXJ29w8V+Hu9cOz12o6I5yIU10vM+iOSGVT1PdOyJbzXL5S441X7pMr54Ju32QgkFi/6MwUMvzxH73Kr355n357EAS8u8slT798keOjvrgSXZeIFglcoNNun3RFmGIrm5WAzG+ZFpquEUvG6H7101z7iZ+g05nSOGwQ0SIy8tM1Xnhhg3sPepweNAEo1opsbeV4980D5tM58VScT3zfJT79+btBmoExM0RLdnKHxBPPScE1naFGhfw/7o9xpmPipRIvvLTNa68+CPSDsUSM6WhKrpwLQLUgofN+2Pl8emYIiMaj0pELqcHjllZLtA4bqGEZ88ZTcUYnJ6xdu8R8ZjJoD2SMb9tBl1NR5ZyLJWOB4SCsydjU39u4P6a8VqZx2GD93Aonew0ieoRsMQtA67iFHtOJxqOM+2PWdqrUD9uYgz5qPEksIWy6YXcobuGl4EwGpy1WL22xXDrs/8wf+j0PoVUEAfAzQAj4h67r/o3v4l52kG4ZQBj4X13X/RuKohSAfw5sAAfAH3ddt+ddOH8WEYDPgP/Udd3Xv017+2fAx4Ai0EQcgv/qd7ovRVH+HPBXvbv9G67r/qPvwD4/hozfXGAf+It+Easoyn8D/DnElfiXXNf9d97t39bzQlGUjwBfAt4DHO/mv4rouR6ZY/pN9vmTPELHVFGUpxCBfwhpZv1z13X/O+936ueBPPAW8Kdd1zUVRYkC/z9EQ9cD/qTrug++2f6/4WM/ysVZpHjOjX/yrwcjPNcVS79PbzfnJqtbZSZjMxiVjRtNlJhE+ES0SJBr6SwFGeFfuJe2cJ2W9pJ0Lk0sEWUyFP7XdDQFe0GuVg7chMbMEEOCZQsjzLIgHIbGLuRWyK6vBqkBs1YTNSkjTh/psH1plVZ9wHgw5omnt6ifDMQRl0kym8wkX7LTJZwUJ2I4HKZ92g5CxePJOI4jxUa+ksdeSCJBsZqn0+hhtBqghshvb2LOTSzD4tK1DR7crZMpZAiFFGZTA9uyg0QELapJKHs6wXwyD5humq5hGiZPPLVJKKTw9ldvEc9KSLdf/Fx9ap2vf+rrhLN5qutlFEXhZK9OtpRl3B+zGA5IVitMHtyl/NQznL9Q5Ma7J0HAtzkzyZaygRs1nU8z7o85d3mN06Mu8VQ8GOu6rhto2LSoBi6Yc1M6OI5DqSbF+Kg/IpFKCKh2MIb5FBSFWKFAsZonnda58dodkoUck+MjQlmJ+YpoEUqlJNd/8Rd5+k/8MeqnIzLZGCcHbbbOV7l745BkRjo/Euxd42RfYo4yhQyt4xaZgmggZ5MZP/rDT/Gv/8VXKW2vi/i91Sdbkoij1lGDTCkn55XLWfand04urAXGaExxvUY8oTOdGIRCIZ57qsbbN5p0G10xiFTyVCop7t06IZGWDx7nr6xz78YhjmGA6xCKCxstlUsxPDiAZJZsMcuwO6RQLdCpd8iX8/RuXSf/xDV6jQ7RZDwomCzDChIZIlqE2kaZ+cxi0BlgzQ1Wz60RDqsMumOMmRF8rx/TlS1m6DZ7mLvXCa1flmLzvbdZf/llOg0p4qetFqFkmkwxQ6/ZI5PP0Pxf/tjv+eLs8Xq8Hq/H6z9kPdJjzbAm0Tp+Bwrg6RfPYds22YLotIYD4S8Nu0PWNotE8/kASGvMDIyZQaGSp7ZRDlhns/GMUDhEPBlHj4o5YD4z0KJagJdYvbBJqZLBnJss7SW5Ug6j2xX3mQv5tSobF9eJX3yazOpKoO2JJqLoBRE654opzF4HFDg5aDObzCitlmjUhwF6IldMBykBqUopIKdbpvCyjP076FFdLrLZFKFwiG5dyPvhSJjj25I6kNncRC8U+ejLW0Hn6vrr94hoEfrtPrbtEPUKvflUtHvNw2Zw7BRVwTSkyL3y1Bob52rkszHefuUu5c1VZp1OoJcKhULcv9siWipTqBY4vnGP+cxk5/I6iqJQXi2xeuUClmGRufgE48GY994+EobcejEozHxzRqFaAFeo/oPBnEw+xaAzYNDsUl0vycjYA6hGtAh6TEeLaqTzaT72scvoejgosn13YSKdIFYswkLgpkef+zU6nSmFtSrV1QKRQpl8JQ9A8+4DOp0pT/+JP8Y7v/AvWC6XtBrC3BqNDOzxiJde2GAxEfyGbTtBzFe30aW0WmLcH/OBl7cIhUN86ZV9cJYMu0Nc12Xr4irhcJh4QuPl770SFJdaVAvySCeDScB90xIJMtk4Qy92qdvo8mufeo9hdyhdY+/z1K13DtCjOrG4TqaYYTCQsfTGlW3CySSr21Uc28Z1XDIbm2xdXCOZjqPHxOmar+SprmRJn79Mr94mU8oF3ddQOEShVhA3raqSLWbpNPoMOtJ9zpRyKIrkhDqOE2SlpnKpACh7unssjtMrzwlfrz8mf+UpYjHpampRDULSsfU/dA17w+/4+8zj9Xg9Xo/Xo7Ye6eLMXixRFAVzNmdhLZiennD9rX0iWoRBdxx0z6LxKI5hcPf6Ia7jelodQQGUVkucvPU2w/6EUW9EqSqF0HQ0DcY2ALjQPm6iRTXKqyXGgwn7904FJzCekM0n0LI5TMNEj+sMOgOaxx3Zp20HUM5UOg4u9OptxqM5qCHs6SwQpI/742BUqIZUDr72Ckt7yaAzwJgZQYblZDiRQO/aThBQni8kxElnGaghlWwhTXalzGQwIZGKU6wW+MwX7kqeYbMFx7cIa2EswyISCdE6FlbYZDDBXthQv4ce05nfeJXBwSGJVIJMPsPd2w2apz2+9uW7bFxc58mrFfRcjvJKgeVyyei0Tm9vXyKjUlFixaKMYecLLMOifdpB8wprVVUDCOmwO6R52qe8XmY6mvLcC1sBp0zwGFHaJ226zb4Uwtk0hiGMtP5bX8Mcjhl0BvSOJfLHWTp8/fVDdl97l2lXEhJqG2Uqa0VwBZcSr61KVubTHwzI/PdvHhAKh0imokyHU6KFAo3DBvXTEYUP/QDdr35aALgrJeoHTcLJNL/2L75Aqlygd9pkMpoxGU6kk7p3ndZBneViwfXbbXDBcRzK57e5+swmvdM2g96U8WDM/mtv8/pX73Ht6VXiyTjjegNcKK8WiSaiGFNh31mjEZOJyag/wu7KOekYRtDZXC7FRBAKh8gVU7ROOtKtNBeYgyHzmYy2D++foMeFpTcejGmedInHhdo/m8yYT+bs3jnBcRzytVJgeAhHwqQ9jMqoNwq6WtNunz/9E8+jhlSGJ3W6zT6t4xbjeoPpcEoym2TQHpApZOi3+jBoUqxkePKZdfldvfcWjuOwd/ckyAdFVaiuFQJdn5+68Hg9Xo/X4/UHeT3SY81wYcct/JG/SUSPYEwNrj2zzp1bjUCIHkvECIUU+p0hruOyfaHK3r1GoPGSvEHRaCmqEoA8l/aS7/3QDl957TDQ7uhRneVSKPCz8SwIRAdBN/SavYAtVlotsbSXoq8KqVy8tsloZNA8arHstyg/8QTz6Zxxo8n61QuEQgrLpct0MscyLBbWgmwxG1wIF6aMZFc3S9z97BdYeekDnO5LPqHPARt0BtiDHolqTbqJrlD5G4cNUtkU8+mci1fX2b/fZLp/j+0Pvcz6apq33jwUF2irT7aYDcZPxUqWH/vIJn/v59+gUMkxmxhB2Hgym6R1UEf3oL7O0sG2JVczkUoQi2sslw6msRD213QOkz6JtY0gxzGRSTDqjrBtm43zqwx7UmyOugPi6WRQrL344Uu88/pekAdZWi1JJyYaod8RzVu26CEzohrxZJz2/gmJghTKuVKOZCpKrzMKxoJLe0mhWgg0gXpUooWWyyWjngBmM5mYxCzl0zT3jonE42xdWKHVEBr/4Oufo/zRH2TQGQTh67FkLIDdqqq8Jv/Fn3mJn/knrwmzznWIpRLBWLhUK3D05juQzJHIpVndKBEOq9y9Lq+JHzmlx3TyxRTtxiAYB57cfkB5Z4N8IUH9uIdpmBjNOuFcidpmhaPX3ySxuUMilaBT7wQ8MWcpxZvvkAyFQ7iuy2QgxWQ6nyaZitLvjrEMi2wxg+O4qKqCMTeZT+YCeHYJxthqSMVZOhSreY5u7hLLCzPNGE+pbK1gGRb9Rgc9Ie7US09Uee+tQ9L5NO3TNhEtwk/++DP8/L9+B5ARrh7Xg1H6whJQ8sJaENEitP/hn3g81ny8Hq/H6w/0eqSLs1B+29U++l+RrZYkBNuyCUVC8ndYCpd0JkYopHJ61AlQGH4xVlmv0Dxqks6lKZTTWNaS1kmHpb3EcSSg29fg6DGda0+v8dV//C9Y+Z4fwDIXgZvR6jQpP3FJ3J3mIsin1KIauXyCe2/cIl4skswmxcE2n5OtlqSjlUkQCoUC910sEZXOkkd2H/VHQl/3YpguXNtk7+4JelR/n4vPMsQkYJ/cg9wq2ZUyQBACH01EcZaOOBgVhXQuSfO4TWWtxHgoiQFaVMOcm0yGE3IlocDnyjmMqcGo2UFPywUylowFMT3PvbTN9XdPGNbb6GkZJRuTGXSOSF28JoJ8r4Dz6fKj3kgKj8mMj//Q03zml75E7eoTNA4bpPPpwNQxHU0prhSZT+aMB2NCoRD5al5yQkdDEuWSjHgNi0KtQGv/hEQ+KwXae++w8+GXOXrQwFk6VNbLvPR0jV/7zG2MmSHh8o7LcPcuuYuXGffH6HERqo96Qq4vVzLs3hZXZkQXfeJ8Oqe0UgKg9aVPkf/Axxn1R0H6QTqXZtjps3FxnZefqvErv/qefHjwnJqb56q0mkN6199G37hANCYmCzWk0m10yZVyDLtD4qk4mq7RbXTFaaxFKNdyHO7WxdQR06msFjl84x1iK+siyrekM+m7JSNahOVSjBrjwZgLVzdpN0WX5xeVg1vvcvnj30uv6+WpApPBBGtuUF6v0jppCSQ3povTuNMhXhIH8mwyE9RLNsliYbOxkePBbpvJQEC8s8mM85eqvP31+yRSCVK5VJAbOxlOWE7H6LmcwGuXDtPxlGhM+G2qqpLIJGgdt8RFWkpzeiTxa8Yv/YXHxdnj9Xg9Xn+g1yM91nRdl1Qxj6qqpHPpoDsQjoRRFIVOvUP9qMPpUYeMJ6I3JjO0qBaQ11VVshBP9lscX79DRIsEDkB7YdM6aRFNRNnYLvHaV++hXXiWlZU0g/aAZ59bR1EVIoWyZDnOTGGTpXTJjxzP6HUnJCtlkpkkmUwMXCiu14KOSDgSDhAbsUQUw8NATPsjcsU0mXwm0JOFtTDN0z6JdIJ4Ko69ED3PwlrgOFL8ZK8+SzgeD/RKvUYHY24ERcxsPGPUHQRFaL8zZDKYBJDT+URcnRFNOnaWYTHqj4jlMmSKoqOa9gaoqoI5N3nz63sk0wme+cgVlsulAGvjMShtsrFdIlsUoGyAMfHgpMZkRiSq896NJqFMgauXSxSqBYypEfCsYskYyaTon3LlHOmCHPeFuSCSzhBLxITf5TgM2gO0hHTu2qdtwtUNhoMZqZzo8AadIZ/69C0S6USgzUOBlWefIZaIBiHmk8GE1a0KtmVTKsYJR8LUNitousbW+Sqr2zW6ja5EcH3g4/Re+QzpnICHs8Ustm2jx2P02kN+9dO3MKezwNWphlSa9YEAk889gW3ZDNs9GSkeNrENceyGI2EGLbk9kU4Q8mDB99++h+u6JFIJovEozZMOpOT8H/VGgQEiokUkFWI8ZWW9GDg4B/0Zs8lM4pSiOqlMgtjWJVqNoRSWGemgpvNpMsUcrZMWqqpSXhW4r6ZrEEtQXsmTyCQorZaYDCd06l1aRy3u3W7Qb/VJ5aRTq6oq77y2K9mY4ymjnoBuh72h7DMtSRbRmMgIFEWhUE4H6ROD9oB0Lk0un+Tgfp35ZB5oQB+vx+vxerz+IK9HujhTFCVw7U1HU0KRUKDR8bsNy+WSeCrOyZ19GWMpIhr3yeShcIhxR3hMT3zwKS5eWcGaiyjeWTrEk3GmwylHBx2uPbtFKpfija/d5cnnt7n/oEc0FhUH3UzwFc6wS7Pex7FtcbM5LlpUo9fqEYmEePrFHRZe1y2dT4sIf2oI52k8C7hdF58+x6A3DnImi+W0sNza3aCD47ouxlTceulcmqvPbgdMteloKmPGjBQN7aMGw9M65bUy6YJkGaqqSiIlhZ5fIPqpBSPPUODDa/2LpaIoVLbXcBwXx7aZjyac7tc5POgRS8Ro17sBXPXujaMApBrRIoTDYcaDsaA2XJd4Mh4YG776lfsBxqR787q8nqEQjeMu01ZLBOqeyePCtU1KK8Kjm46mRONREukEq1sVpuOpRF5lkmi6xqXLFf70TzwvGIipjORK1SzdehdjanD61S8yHc2YNluUV4uY0xnPXa0wHoy5cb3OwlrQafR44YUN7t445PjmfRRFcBaj/igo0Eb9Ef2TpoTK6xEm/RH5UhYlHA5ArACz8Uxe691bEv/1hLhn18+vEomJrkwNqeiJGM7SYX2ryOTkGFVVeeYjV8QVOhCgt6qqYNsyJk4ngtF6//UvCrMtHOL+zcMgAWLYHZLKpqTzaC0YdEdBTFSv0aHd6AMIONczpFTWK7TrXfkdG09JpBIM+1OBLDd6ovkcjYno8hwzhQzDzlDOw1KazQurwo5bLpkNpfvpZ5CubFbIl8VNXKjmyRQyDPpTcVX3x5RWioyODjncrZPIJFjO5zz/gXPfhXeax+vxerwer0drPdLFWSYdo/nWG1x9ej2IXFoul1g+nb6UpbxSxDIsotl0EE8zHY4lKsejn1O/x4WrG4xGJvX6mOKquAzjqTiJdIKPffwK4UiY997cC1xzN989pN8ZUiinoXvKymaFQXtA/vw5hq0eeiImCIrpnF6zx0sfvsjNN+6xe6+FMTPIFAVf0TxuCSi10fNGX2EuPSmjy4W5oP/eG+gxncnEZDwYE4nHhdK+dIKLXDKb5NrTqzSbY8aD8VlH0NMXtU/akmV4bovZeIYaUqU7NJsFnZbJYEK+kqfflviclfUi9ngo+ZmTCa23XpccUgWah000LUR1a4WtJzYpr5VRVcGZ5MtyH7PdGyQzSVzXZdwXlIK9sLl4bZON86vkaxJT5DouOxfKzLo9WscSnZTauSi6r3ySsBYmXiphzk3qx4J22Lsr4GQ/k1RVVcb9MXs394kn42Q8d+tkOOFrn7/FP/zHX2Zhim5p2Bmyf+8Ehi0yxQza9lWGvSGVizt0m330RJxf+sWv484mZHIJ9Khos+496JHMJPnkj38Au9/Gdc8cwuFLL2LfeY3tJ6VwmE/mpPIZIhEVt9eQ8y8epVzLU1mT8zG8skN1JcdoIKiSQXfEYjIN9GDJTJLzT6yyv9tk45mrqCGVRkM0cmFd5wMvbckvwbARuD79jpqy9RTT0ZRCJR9AYTVdI1vKSuF/dS0wDNiG6LpCEXG5usslVrtOpiidyW6jS6aQkTSCk11Mw2TYHRIOhymuFInoEQobNZb2kuVySSgcIl1IY8wMuq0h9cO2HMdEnPJGjfZxE8uwKNaKDPsTPvGRbXKlHNPxjOZBHddxA3xKp94lXl2htlFmaS9Zf2Kbt17b+w6+wzxej9fj9Xg9muu31JwpirIO/GMkKNUF/r7run9HUZQ88AvAFgKL++Ou6/Y9qN3fAX4Egdr9WddLn1cU5aeA/9a76//edd2f45usSPGcu/lnf5b5VGKP/AJjPpljmRbr2xWuni/wv/3bd4QKf67KvRuHwjYzDZKFHNF4lKW9DCKPQAT+g86A6kaFdDrKbGZhGAuMqbglM4WMOPs8gXI0HsVxHKadPquXtqhUEgyHJo1jQWsMOgMcx+Gp57e5ff1EBPXHLTbOr3K638ReiJh+YS0CcbUW1djcKTMYGOh6iFa9z8KU7ktEjzCfCNzUB49OhhNiiRjz0QQ9ESeRSTAZTMiVc0wG3l71COlcOuCmua6LGlKZjWXU6xc7Fy5VePOV+yQzSbKFFOPhjFQmTq991hEZDWdkcwmO95pBLNHWhRVODtpBwTjsihHDnM7IVgpMBpPAROFryNKFdMBd03QtSB2wbZsXPnSJ/T0ZIW5dWKXfm6BHNcaDiRQ4noFDURW2z5W4e/MU13UFP+FhOPykBl+oPxlMxAmrCjbFGfV44ZMv8/pX7sjoVYuQSAs5P5FOiENxMiEci6EoCovJlFRZCvfWcYtsMUv/pMn2k+fY+3e/QujCCziOMPPiSeHF+eO81a0Krbp0ac1ej4svXqVx0pNz0Cts+q0+T7+ww9uv7RKNS1dW0zWqq3lODtrixBwMWb28Q/u0wxNPbXD35ol0O7vSUbNNk0w5LyYEbzlLh+ViEWS1Tjtd9GyGhbkI0BlqSOXq0xtcf/sAczhGT6eIp+LkiykO7p0SCoeCY46CfAhJyujXWTo8++I2JycjBt0xtbU8+/el2EJq2EBuUF0tcPSgESQOWIZFea3MsDtkPhxRO7dB61iio8aH+5QuX5bg+v5YdJO//Fhz9ng9Xo/XH+z12+mc2cBfdl33CvABJDT3CvBXgM+4rnsB+Iz3b5Bg3Qven59Ggkzxirm/BryM5GX9NeUscf43XY7rcPLa1+m3+wHFvHnUDByWJ4dt/v2v3yRfyeMsHfbuygUmlUuRyGcFpZDQGQ/GQRfkwhOrZyPDmcntd/c4vH9CLhdHDUmUUH//QC46HjB1YS3k8XPSLTk86NM47pItZgIoLC7cv9MMiiDsBccP6oLqcJ3ALeoLuVfWi5wc9eg2e3RbI+mMZBKYzRNcxyWZTWKZFuWVApZhEU9KRy1TyrOyWRanXSkbjNEs0yIUCtE8agbg1l6zx2Q4CYq7aVcicg72+wHKo3nSod/uc7LXkAxHe8n+XRHJt+p9YskY07GMovbuCAJh52JVjBczGdfmV0oM9vbYubyGaQgCIp1LS+fGssmXsuRKOWGp7d2S0HNg70FHOjyhEPt3T5hP5uRyMeyFHTyn4eEBAG+9ck/gtXNTwthTcTEKlNJcvlJDj+lBEZoryWkV0SLopQr37jR45uXzuI4UdqPeCHMsBaDjOORXJQ7JdVzya1XGnV7A3bJMCzUa5eDeCaELL7C89zrxVFzitqwFiqIQTUSJxqMcPagHI149l+dor8nCWjDsDUmmYlJE332Dg/0eruMy6Q3ZPCcZnI0TKeqW9hKau5zcus/CWnByPGBhLZhP5hJnFQ6B6zA8OhYWWbVAOp8WyK0u555lWkRzWVRVDRAVVrdFOpfm3u2GuFdjsYAJ1+9OxOHc6wT6N3NuEtI0MvlMEJf12lfvMZ9ZDHtDjvZaQTyYuKbltX7q2Q163XEgBShU8jiOw3gwZj6dE45JhFgykww0pO2jRgC+feKZ7d/GW9Lj9Xg9Xo/X7+/1WxZnruvW/c6X67pjJFdqFfgxJNYA7+8f977+MeAfu7JeQQJCa8APAr/uum7Pdd0+8OtIZMQ3XAoK2uoOekznIx/YxnEc1s+tSLfBK4KcpUMioVNeLZIr52SEN5yQSCVY3SxjWUvBVvR7uK7L4X6H+UgKFnthw1L4WoPBnIW5YNwfk1xZIZVLce3Fi+A4kvm4VZYQ9QeNIAOxfdpBDYlY2zZE72TMBCXBwiKdT/NHfvQpsuW8dKTKWRFyH+0xGEhIdDKTxF7YgfYtsbYZZEpK8eDKeFMV99xkOGHvzhGKojDqjSjXxHV5+altamt58pW8pA6MZ5y/sh50V1RVJVHMkc6lmY6mrO/UJITcXFBaKaHHdbr1LvmyuCEtQy7c2XyKlz5yWfhqSLTV9TcfMGiLG3DYGcrxqK4wGhkUqwViiRjnLpbRohqlapbGUStISqC6g2VaAYg1HAljTiYUV4pkChn27smF2pga/OmfeIHy5YvMJ3Oefuk8iqpI1yoZx5gaEiN03OWNr91nOpriLB1yXsRWtpRFj+kkUiK4bzQm0rV0BPCbq5UxpobgRaYGxVqR9XM1EqkYuVqZeCrOsNMPEhUURR478cxHmL79ZTBmaLqEqq9tVdjcKbGyWWFloxSkF1TXihQqAnZtnXYpVHLEr31AXJC5FGFdp37cZdAeMK43PDdvjPDO0+Q31kSD2BsFKA+MGSigRDSixRLFqsRmhSNhuvd3sZtHpAtpFEXBGE/JlbJE41HpqK5v0Gv2CIVDOI5DMpsU965hClhWC1M8ty0A2UQs6LwqqoLtuSu1qMbCWpBIJYKvfSOKZVqYsznX3zmm1+yJC3c6Z7GwyZVyzMYz8mU5Ny3DAqBx2IB4mkxJxrNLe8nu7e9qPvjj9Xg9Xo/XI7F+R5ozRVG2kMyoV4HKQ2G4DWTsCVK4HT30Y8febd/o9m+4wpEQ1nCAqqp8+rO3sAyLw7tHJDNJ1jZLpHIprjy9wXRqUqulpGt0coht2XTqHQ7unzLoDASICUQ9QTbjLq7jMp/OSeaFgN5r9rBtW7IdR1OMmcHxYZdENkU8KZ2NhbWgUCsEBVmunKNYljGilkgEvLKVtRw40nXrT0zGfXHldZt9zJkJrkv7pB1wqAS+KeO7sBYmk8+gqAqbF1YZD6YAQU7kk89vg2UxHU2JJ+Ps3ZEu1+2v32D/fp1YXJeiRwuzWAiXbTKcSIB8IkahmMA0TK6cL7AwBZuxXC6xDItULsXRe7dxXZeNnTL2wubgziFf/9JtLMMiFAkx6vRJZpLEU3GeeWEL2zQDcfp8Msf0grR370k4fMgbJRszQwoFD0OCKa5CNaSCGqJx2CAejzDrdIL0gF/61E0G7QGWaXGwJwkF569sMB2L8y+fj7O6WRLNlac39EeirXt7gX5qYS4kKiubJJ6MS2pCs0u6kKbfltD0ra0cJ/tNjLmFMZPQ+Y2L64H43zdBTEdTWLkEp3cAcRR32yP2d1u06z0ax11JPAA0LYQxt6islTh/eYVee8BsNMG2bAatHgBb5wSJkiiXvZSDFLZtS6dzNOUj33Mp6LYqMWGouaYUtaWS/LvX7BHKFLj8sQ9hzk15Pk9skkrphDUJe6+u5lk/VxMzQLsXhM5ruibF3MygU+8EWJDxQHSbmhYmFIkwHY4xZyb5YopEJiEcNW9M76MxYp75JF/O0zqS179b75JIxbj67A7GzCCWiAGSR5vJZyAs58NkMJExu5fR+Xg9Xo/X4/UHef22OWeKoiSBLyABqL+kKMrAdd3sQ//fd103pyjKvwH+B9d1v+zd/hngv0JCYqOu6/733u3/V2Duuu7/4zc8zk8j41AimfLzpf/4/43rSNi2OTe59tw59nebFMpZRoMpg86A8poQ5/WYju5dpBeWHSAYymtlQiGF+UzGM/lCkn5vymQ4obxSYDycMeqNuPTkJvP5gk5zEPC7Ll1b5+6NY0DI74VqAWNmUK5mmU4tTh6cyiitnKN5/4DK+c0gHsqYGUGUUDKTZDwYU6rmaJ32mA5GFNeknp1P5qRyKfrtPqFQ6AxJoUsXcPui5HIqqsL/4Qcu8fO/9Cab51e4f/NAOi2RMJWVPIoCve6EbqNLIpUIUBzxpET2+EkGL7y4zbvvngRwXz9pAaCyVqJQiHHnhnQwfMyHOTeD8bAaUimtlJhPhVfWOe1QXisxnxqsrOXodmdkMlH27p7KSNYrbAbtAReurjMYGIx6I+bTeXBs7IVNt9GlWCuCAgtzQb6YonHcDZIGIlqYREKj35OCNRrTqB82ZRxZyWOZFkt7yaTVoXZxm0FnELhQfWPEfDIHBXIl0SP2mr1A++U4jmAoYlLg/qEfvMqvfvoW+VKWSERlPDICjRgIB6380R/EMi3he3kGCD+o3F7YlKsZ5vMFzeNOkFFpGiZ6VCKo+m0pdoFAH5lIxQKwsu/S3L60Rqsuwe75chbLo/druiZGEj1CJp+h1+oFKRnO0iGiRwK9Y6mSZTw2yGRiPLh9TDQRJZ4UXeNkOBEsSUjO20I5Q7c1JKLLWDQcDksX9KQrdP+5QaqQpbKSZ/fWIR//5JPcvNOm76FQktmkBNd7DutEJhFEo1mGhRbVguB6kDSHdD7NsDt8zDl7vB6vx+sP/Pptdc4URYkA/xL4p67r/pJ3c9MbV+L93fJuPwHWH/rxNe+2b3T7+5brun/fdd0XXNd9wUYunv1mV0ZIoRCN+pBQOES7Ljb/dD7NZDBhUq8z7AyZTebEYhHaR8JkKlQL1N95RwKa2wPSmTjNU9GwLcwFo8GU+XROppjh1jt77N144I2khFS/d7+JeXSPcCQsAua+aGfu3zyk1+oHLLNxf4wSjWEZ0tWajqakc2lxGnZ6mHMTVVVp1XtoUQ0lHKbX7NG5ew+AxkGDaCz6PgabHxF0cL8e5Er++y8+YNE6Ye/OMflynlQ2xbg/Zjw2qB93icV1irUi01YL895b8vV4ymwyC2C2X/zsDS5fqdL60q8J/+zdV7CO71OsFZjPTN57Y49kJkk4EkaP6oFJoLQiXSrbtKi/+Qau64pGzLYZ9ceM+2NOj/t0G13uXj8glUsRTUSZ1U+CzmTjdMCwKxf9la0q5tyk3+4z7A754PdeliKwP6Z/cEj9qBOMzlpvvspkOOX+zUP6rT6j3gjLsqWgGQ9o7x0FOrCLz18mmdSC4txxHGzDZD6aUKgVwBbjxXK5lDHzyDsHChlBULz9Cv/Fn3mJX/nV95j2Rxw/OOXB114XvZtzZkgof/QHaX3pUwyaXWobleD1U0NqQL6/f/OIdl1G6lb9gPJKnnw5z/d/7CL9Vh9NFyRMRIsELLN+eygRS6MJ7Te+xnK55P4bNxn1RJtYPxCTSUSLoIbUADUyHU3JFDJsX1oLUjTm7ZYcK8Oi0xp656ESoDHGgzGb2wUqayV69Q7te7vMxjPGIy8yzQMYDzt97l/fI5aI8QM/cBW8In33lkSmffHzt3nqiTLz0YTV7apo5OoP2NipkkgnmI1nzA93SaQljH18eorjOEFuZzQelXGnafz23rker8fr8Xq8fh+v37I489yX/wC45bru33rov34F+Cnv658C/vVDt/8niqwPAENv/Pkp4JOKouQ8I8Anvdu+8WN7HRqmQ2prBbSoxnNPrzDuj2U85F2gMoU0LG3UkOAeWvU+8UyKVC5FOhMjs3OBo926B6NtCpZDgYvXNpiNZ4FLUtM1wtEYC3PB0e4pmq6RyqaIbV1iuVwybHaYHj4gloixeWGV+b13iegR1rYkVD2dS6OGVJKZJIvJlFF/RGW9DI4rY0ZrQTQepd/qU6wVSefTFC9eoLpWAMtgZT1PLBmjeVDH7LaxvU6QoirMxjIGjCd0wqUVNi+siFHCcaD5gPZJG2fpMOiOcJYOyWoFVi9jL2zWd2oiph9Ld2fn8jr7+wNYvypapuoFopsXmQynJJJSYIx6I9SQ6Iy6jS7zuQi8zX6fZC4NuSqKonC41wo6T75zNZ1PE41HGXaGIvpOZIjoEc5f2aTf6MjFvz/GdZFRcUU0ea9/bZdoIiqF0tra++C7FDcw5tLlS2aTKKpC87Wv4ToutScuUthc9UC/MTIZnfs3D1kuzjozV1+4gJ4UsO/6pS2MmUE8rgkvLaoF7sx8JQ+1C/zMP3mNiB4hWylQrBXJnLsoRgJDRnuA3PfmU3DwLr32ANMw0XRNCpHJnFgiRraUZX70AC2qES6v0zrtEU9ofPErD2DSF7ft0DMnLB3aJ22mgxFhLUwqnyF67hqZQoa1qxeI6BGefHYDPS4fCECyWpe2xFItrAXdepdBXzIyl/M5qZUV4qk4ruuix3TUkMr9m6Iu8KPDjo8GTEYzgQsn0kHKgy/SX9pLUFSKq2UW1oK7ez1yFekgu4Z0P596fptWf8bm5U1WVuT4qJUtmqd9+m1xIocrGzQOGiiqApYcH6tdD8ajxWqeRLHwW70lPV6P1+P1eP2+X78dlMZHgC8B7wGOd/NfRXRn/xzYAA4QlEbPK+Z+FhH7z4D/1HXd1737+nPez4KMR//RN3vsaO2iW/uTfxtNC3G0e4pr2yTzQh13lrKVRDpBuZphuXRwHFcglx4HTVEUTMOkuiHuwlF/RLYogFK/8HBdV3AQc5ON8ysc7zUkp/PSKtFomFvvHghABLCP7xLZuEQqlxLRc00Cvy1TOFfZbIzp1KLfHqKoSoAvmPZHAfrgD/3IU3zhq3tB5JIUKW4Qa+RnQ/rjw/lwhBLRhJafTdJrSJ6n67oCLB1NRZjfHaLHdczpnHg6ycpGiQe3j4Rt5bqEI2EJUg+FUBQlGDf5DK10Ps2g1eMn/uhLfO5re9It6Q6JJWMM233UcJgf+OQ1vv76oTCxFhIFlM6lad3fI7+5HsQLxVNxgdtqYVRVDQCtfsblqDdibadK80ReBz/0fGkvg3GwMTPI5DMyjtSlqySctRyne3W0qEYym5Rgbo/TNZ/Msdp1SOY4d3WL3ZuHKKoSAIt9fdaFa5s0T/v++c3wYJ8f/9Mf5/NfeSDFzmIBikpYE/K/X1Sbc5NoPMrmTon93Rbz6ZzaRoVee8D07S8TufwSAIvZDMIRiS1y5DwNh8NoUSHl2wsxGWztFHlwrxWAepf2knF/zMsfvcSN907EqNIZyOiyOyCZl3Gp7+Zt3n1A7fJ5wmE5H/qdIdObbxC//JycG+Mps/GM0qqYFKajKeFImFwpx3gwxl7Ygiax7CCpYDaZkSlkaB21KK+VSaWjdNsjBs0uiVwaParTa3RI5TPSWY3ptE/aRPQIoZDoJzNFAdWiyPnhj8+Hhweo6XyAfMkXEjTr0kkt1ooBELn5v/yx/z97fxrrSoLld2I/MoIMksF9J+9+79tf7pm1Vy/q6m6V1NZIlqAZ2WN57FnkD5I9Ngx44Pk0xsCA4C/GyJ4BtEwblmc0bUsaSaOtpe5WVVd1V2XlWplvf+++uy9cgwySEWSQsfjDISNbhiW1vnQ9qHiABBI33313Y14envM/v996rbmuda3rp7p+P9eavxMEQSQIgjeCIHhr+c8/CoKgHwTBt4IguBkEwS8GQWAs/3wQBMGfD4LgIAiC11eN2fK//WoQBDeW//xLGzMgnGiZgwmpdIqNG1tMDBPP9chX8jgzB6NjcH7S4fy4TSwmr/LjCbmi05KykotEBA3gLTzah6e4fXn1ntSTNDbLITOr2xqIQ7F1QjQa4cGPnqIlNZSYQjKdpPreV0nn0qFEOpNNhvwuz/XotkdcfPwpgKzKnsgqrL63IWT4aJSPHrTwPI/xcEzgB+TLIjbvXHTIFiRov7pKjGtxElnJAdndLp1PP6K6WWH3ZjNcZ27s1jANE1qHlGpFVC2OfS1rz5gma6/GVoXpZBquusq1HF97bxt34ZLQE2TyGck35TL83b//Y6HDtw2B7E6mcP4IPavz3e+ItxJgNrFDDZRerWI8fRRe3K0uVq2zY7Skxs27cveRK6YxDl/gWhNOnpwyPXyAOxdfpbtwGbe7TK0phUqB+nZdGGyf/UB0SFmdSqPExJRLWTWmcvdePWRrrRyjlTt3iCcTYcO5MgnEE3GM8yu0pMbVeY/RYBSuNRO1Br/53ef4ns+3fuk+zf0NCL7QJMUTccq1PBu7NeyJjWnOQvvEaDARfMadL7N4+gH5cp7GwTbbNzZIppPyuFu+MDDaBrY5Zn70gOFli4vzoaxA+30m5oTJcCKT0/YE8+Pv0z65QlGWBoakuEhX+rH2k2cky2WGvSHnT47DVaeycz/k+SVSCdGHuWKHWF1d7u7mZTXrLCR7p8v3a+7MWTgLjJbB9s0NTMNk0JevL6KqqKrK7n6JYqMs6+jTM3rXPXLlHFpSY+9mXZymgVgz0rk0xpOHGG0DNa6S390lCAJyxRwjY8RgYAun7uwRg+5AVvda7F/zV9i61rWudf2bV6+0+DxevREU/8RfxF242GN5RV+p5Th72WJzr8blaSd8YreXzUI6nw6nUSBXjtmi8KrUmIo1sqhvVWmdizJo5W6cz+bs396gdSWh/GFvCEAynSSVFpRC57JDc7eBM5MnsdX13nQyRVGVELngeR6WaVHdrNA+F3fna29u8cHvPCOTz2CP7fDCMBaPYbQN8uW8gFuX15tJPUlCT2Bcdbn15gG9rgjS584cLaHRveqSL+fRM0n6bcnQRaIRWWnm0tgTeeJLpGQ6B4QTtBUPLBKNYL18gtrcD+Gj1sginUuTTCcxWgZEZN2bL+cw+yPchUtju8J0uqBz0QnzcXpWDydDC2dBsVbEmTqyPlx6Qglgc6fE8YuWqKfSGlenHfmc82mGF1f87B/9Eg8eXDG1piFQd3W04HkejZ0G9sRmPptTaRRZLHzK5RTt1pjO6SVaJk1jq0LnysAeTUgsjyHeeHOTH/3ui1AcriW1EAERi8dCKbxwxCCqRNk5qNO+HmKPbWqbZfqdIZ7r0dyu0Lrohw1aXItjT2zRaP3OP0W791VyZQHArta9E1OuNN94d5fRyKHTMpf4CQclJvDXEJzr+6I66spBw8rCsHp8LxxZ9ybTScmtLY9gKo0SFy/OIRKB+Yzi9qboy4YCd101akRgPpNGLV/Jk0hqDPtmKK/3PcHH+K7Lzdf3ePHwlGK9yGQ4YfugwfV5L4QSJxIqp0ddEnqCyXBCuV6gc9Vn4SzY3G8wGU/pX7So7soLlFG3j17Mk9ST4bQzW8yiJSRrN3fmjH/t31tPzta1rnX9VNcrrW9agWPductbX76BNbIYDmyc4YDrc7l+6xweY42tsAlbZWti8Rj339ohX8kzn8352tcOBJQ5Mrl49IJiVdhKG9tlHNvh4M4ml2c96s1COGHxl17DYW9Iv9UnkUpw9fwUe2yTTCdpnbYolLNs7tdJppN8++dvMjEnBH5AuVmmc9mltiV8tNPTIeVGmVG7R7Fe5LW3trl5u87UmqIlNWoNmT4oikIwm2I/+xSzZ5Ip5Xn+8ATjsi2B8SXHbXO/yeDiGqMzJJMXJ6W7cJlbFtbYYmOniu/5tJ4fsXujhuu62MYQRVVQYrLaVFUVbfsm5UaZmS3MuO0bG8KwchZoKY3mTg1FVZg7kjnLFrP4foDnemHgvFApyMSlbbC9VxWEQqvP4LJNMp3EHtv4no81sjg77uIuXOJajJMPPmE+GkmGLBJBzWR5fthn7swpVmX1dnCrjpbS0LM6+XKeeFxBURT+8C/epXUumqWz4x4AW7d3KVaLnDw5xfM8CrUSX/7qATNrRrsjK73KRoXaZoXFfEEQBFSaFeKJOIlUgl/5I2+gZ3SS6SRxLU6nbYZrutFQ1pFqTA3p97lSbvn98FnYspLT7n0V5/H7qMv1bSQSoXPRwWp38DyPB5+e8uyDR4yH0jCn82kca4o1GOH7PtOXMqV0F274eEjpCXKlHOl8Onx7JBLBOLuS71tMxVt4XDx6AYpCtpSnsLWB0TYE/QHhenXVbJfqJTKFDNbIwvN8HHvZSC+b2Vg8RjyZYDSakdAlJ6lndQ4fn0IEMvkM1xd9Li/E40kguJTWubxoyBazDHoj+q0+qLElZsVBTSSxjGHIZ7t5b5PueYv53CVXyoaA4nWta13r+mmuV7o5i0YjmO0e7sKl1ZoQ1+KYfZPi9iavv71Nc7sKsThxLb68ZlQxXh4xbncl+PysBYA1tvjed5+SzaeIpNIcvHMX0xD+Vact2RjHkSe9Z9/9AfGsgDwzSwbaot8hU8gIDT6/9Ape94kn4lwetzh5fMzCWfBbPzhh7swZGSNm9oxCpcBs6sgT09TB8zwquxsUizrX12Me/vg0zG+1r00m7Y6sWPM54vuvC/5i4VKsFiEqU7Pe40eyGpu7qHqa2kYJZ+Ywm9i4gx7VHRFRty772BMbvVLh5LBNY6tCaVs4V4EfhBeFakwNmVfO1OH0sydUqtkwA2YaoobqHR5RqBbwfZ9+R55c07k0SibPsCdheAJot0QBtRiPIRZnOpkyHZi89uYmqUyKbCHD/OIQZzZn4+23UFLC6rJGluAl4gpf+vIe/ZbBdDShXEjiLrEok+EEz/MZGSP+7q99n+ZOlZEhSqOpNaV73ZcVWkLDsR0m5oTv/ep/hxpTef75Udhod6/7OP0ehWqBd95sMrMk4/b3/uYPME7PiWsCZzUe/phINELn04+YmBMcwwh1SBNTPJir8D9qjFgsSq6co/kLf5Srf/aPSKQSJNNJ4bvl8iHc9c2ffRN3OTVrbBRgLJqkSr1A4yvfwLiS446ZPaPz/JB+e8DUmoZXwMbZhUjImzWS6SSxeIwb97bINhvhdGxwJqgM+/gp1WYpdKMm9STj/pD33trA93x2bzRonVxBRLJsg+tOOFFMZVIMOrLqv3FvG0VVSOfSsmbOiE0im5NmbtAdkMlnyBaz1Gpphr0ho8Eo/LiRSCRs6BsH24Dw9x5+50cUGxUB9V52fzK/aNa1rnWt6xWrV3qtqdVuBvof/j+F6xaAeCKOlpCmJabFwlzaaDCi0qwQiUQkB1PKhevKWDyGu3AlT+bKem0Vhg6CgGg0Ggbn3YVLrpTDHtvYY5uEnmBmz9i7vUXn2kCNqRLU7g6pb1UY9seMBiN+5VfeomXYXFyYTK0piqJQqmQYjWbhinXhLARYq8WZWlMy+Ux4abdza5PWeZfqRhmjM8R1XQmUL+XmtUaB4cDG7JvkK3kKhRTPH56yf2eL64se2UKWkTGSFZGmMBnPKJbSnLy4CnM8ekYPtU6ZQka8ock4vh8wHk7CvJ4zdciVcgy6AwI/oLZZlolIJR9+DbG4fO/nzpxCpUC1LmF1w7AI/IDxcEyhUmA0kHWs54nWKFdIE48rXJ52w+9LIiXf4+Z2hV7bXOJJFCamFf5s7721z+OPnlHarGO0DbSkRrYg1gKzb5Ir5XBmooKyxvJ+jjWlUCvh+374mNEzSSYjm3Q2xfVpO3SBrh4/Zt/k/ls79Ho2nase7lxUUvVmgSCA8+M29c0y8bhCp2WymC9I6kkBrKbl0ndkjEikElif/Q7KzffIV/I0N/I8+PAFREURpiiiSZrZM+qbFdqXPbSkhjWy+IVv3eP9H52QTIuY3LVsUsW8fB1JDXfu0twuc3kqQfxsPs1i4dFv9YVJt2yU4wl5MVOql5ai9AJGd8h0MiVfzgt3TYtRKKTotMxwRR5VoqTSKWEL2gK1BeTgZOpw/40tPvvomFK9SOdCVprTyTQ8solEIty4XWc8FnzHyoWbLWSp1POkUjGmU5ejp+ehggoIUSLtv7o+CFjXutb1012v9OQsPOX3PMoN0TOpqhpeQa7C6Svy/Buv1eVqMamRzeuhDsf3/fAS7Zs/c0uebLdr5Ct5SvUS1c0qezfrHNxuoiU1hl3JFjEds7lbQ0tqnDy/CAGauh4nW8xyfSYXe3u3N/nBB6f0+zats1Z4/fni4Wk4NSMQ7IEzkbzXV755i+1daRyKtSJGVw4djO6QUi1P4Afh1eJkOOHipEP3qktzp8qwO6TbEUPB4Y9fEIvH+LW/8A1m9ozrBw85+eQhveseR08viCfi7B7I16CoCsWSTqlRYjGXNWQkApcvTkOVUkyLyTFCXGFrryaOxNmCfEVcpSsQre/J513drOL7Pk8/PeT60qB31QuVUSu2WiqTgkCefC+PW3SuhyT0BFElSiafIZVOCoTXmLC5U8IaWwy6QxGZmxPKjTKPPz2icbCN53rcvL9DKp1i0B2EgfvFfMGvfOs2nuvx1nt77N1sUttpyLTGD1BjCsZ1F9f1GfaGmMaYSDQiWAeAy2eh1ujTHzzl/JPPSCQTePM5hVKGbntE61Ko/ouFR783EcDsZBriPoy2WCRSGRHTr1ycg86ABz98Qr5aDJv7iTkJc2TWZEa1WcLsmRQqBQ5PBox6gzAXVt3fZHu/JlNcR9RlLx4c4/s+gR8wGkwIgoBEKsFoMGI6mZIrZRkPxuTL+dBlef7gKbfvNdnYa0izVpE/c/j4XLhsC0+OLVSVSjVDoZwjCALuvyl4wlg8hmUMef5UMoOdiy6ZQoaFs6C+XSOVERF8PBHn5fM2Zy+vWTgL3nxvL4Tlep7P1eWQbluQK7/wrXsYbYPpZEpMi5FIJf7gf9Gsa13rWtcrVq90c0aEMF8ztabinsymuPtak0QqQTQqDdpq4vXxJ+eik5nNmU7lirJYzvDLv3CbXDHDjXvb/NY/efDP5Wx6Vz3a520uzw1OXrbDnFtMi7H52m26rSG1jbK4L5cXmO1LEYrPn38sAebRjKgSpd8xQxfn1l4VfI9MXjyX1tiiWC8SUVX6130ePbji849eki9lpdmMRiECVk8QD/N+R1hZy8bFcz3UmMrpi0vUuEoypdFv9dFyGYbnl/z7v/qBNEHZEnpjI+R32WObbneCqor8/NlnRyLgdhYC1k3FSeVzlOpFihUhtOfLeS6OrrHtBbdf3yGfT7G9XWA8GLO5Vydfzoduz/bhqUwv+xfEtThbB83w0tQy5brQ7JukMilK9RLu9VGIqJjP5niex+XLCxRFIZlK8PzROaqqcuveBtbIIpFKhMaFQXeAoiqcH7flstDooqU0yk25uP3v/uaHImg/MjD6Ft3LLolUglQmRTyuUGxU6Lf6IUIlV8qFRwv63XcYdAbkCzrFRgXSBcmiZXROX1yGuBTf9+lc9kimNKZTaZT6jx8Cwg1bhf/HgzH5Sp7ojXfxDz9GSSalAVlaCvKVfNioxbUYZ4eX3H9nn4k5YTp1iSUTISZE1zXOTzrYfQEvDy6uwbhCz+qh+WE8GNPYLBGLx8iX80xMi+0bcjxhXPcwOgblgz16PRujI9nDwwdHaElNNFuqwuamHCF4nodhyJ9r7NT44HuPCYJAZPCVEpOhuGkVVZEmr16ke9VjZIxCePHMnoVw3edPWuRKOSKRCN3rQfjYqTXy/PD9YwCqjTxmu0eppP9kftesa13rWtcrVK90cxb4ARNzErK/rLFFv23w2ccnWCNLGrHTpwx7QwqVAvmiSJVXPkGzb3Jx0ub4Sijv3bbJrdd32dytyZXeUm2zWvsFfsDOfjVkbe3tFjBbXab2nFwpS7aYJXn3PZyZQyqTQr3xNsVaUY4QEjIZYGbhui5Hzy4hqjAeTsgWs7hzl2JRJ3Bd8pU8E3Miwfn2ANd1ee3NDfENNiqcPT2BWCJU50yGE5zJhMXSM2oNx7iuD4M2qXSKeL5A67LPuD8ES7RIi/kiZKUlErGQF7Z5Y5N0Lh0qfSYTZ+lGjLC5kaVcL9E6k8C7NbZ5+fSS8+M2Dz49kffT42IuSGnMnTnb9w+wBkMoNumet+guV7+jVgfXtsOVpTN15Ap19zb9S6HWuwuX/kWLndsyERv2TaKKXCx+9t1PpAFeQmQj0cjyqk+AsTv7VZK1Br7nM+gMSKVTIWx1RedfXcDOnTmplKz4btzdxBkL9FWNqRzcbjIfT3Cmjvxcxo5opZZA4Zk1Y3O/GV7h1jcrKKpCPp+gfdGTi9+9m6iqKj8rc0JgCyC5uZHHn83CCVqlWUJRleV/K8h0Frh6cgjOjPOTHvFEPPz5KarCxJzg+6LQKm41+bN/8i0ytQpkq6Hyyup0sc0xzx+cUG3KirC+UURRorz13h6ankRRFHqnV2iaSkJPUNsoUdmqM5/NSegJfM/n7HQQ/rxaZy25aJ27FGolgiAgqSdxZg7ZUhajLdYLPatzdXhGfatCfbuOPbblhQaSx7Mntkxf7RmKqlDbKIb4GWXJuIsqUY6fXZLMZXny2fEf9K+Zda1rXet65eqVbs6IQCqdIhqNyjVmIYtjChE9lUnhzl0yd94kqkQxOgYnzy8kvxLA9cszokqUaDTKp7/7GD0j9MPIEBMAALx5SURBVPqBYRGNRnDn4pmMROXaLfADrOGIJ5+doKgKG7t1vv8P3ieeSdM9ucT3g3DNpCU0+lddWZsuLxOHfZNMPkOm2SSuxalvVdBzOqP+MMz2tK+HaOkUqXQS15nz3lf2mY6kSfv4R0eiD3IWvP6VO0STKVkzxmNUNyvU97cobG9KTmsqYfSdL79LqZINQ+DFRoXm/dtki5LFsk4PURSFs2dnoQB+PLToHF9Qrefw+9fcuVnG7V5x8fSE0djBnkxFvB6JMGz3w7xfKp0im09xetSRUPqTRyycBd1rg7vv3qK4USOeSoarSL1c4uDNG8JWWzaMq7ydns+Szqf5+s/fBTVGrzVAjSninZzYaCkNVAHvunM51HD7bToXHTpLYfyjT4+A5arYshn2hkQiEdK5NKPBSCwEQ0GqGFddri6kaTx92SaWShHTYniux6MfPmTr7h6uZaOqKik9zvTqnI1tmbLhe7TOO4w7/VAbVq4XOXrRCpVMM2tGPBEXFMbcRc3mSKQSPPjwBflmFTWmsvmLv8LFb/5D5rM5b763x/GhHKuM2j30WhXispKcWTNKFdF+zZ05036fXluUWJ7n8Xe/8xLP9cjVKxTLWSobFYrbm2i6ZOeuTtskUhrdtsmLB8d89MMXsmafOWzd3ePlk3MmwwnHnz2jd90joSdILF2ivese9kiujfWMjj2xmQwn+J4f5tcc2/kiQ6jFGFxckykXGfZFa1asFfFcT3Jq9ojX39kNL4wXI5PLE7la9VyPft+iVJMJohJT2NytErjuT+AXzbrWta51vVr1SjdnvuczePIAf7EgoSdQ42r49vZ5G0UVJES5XkJLaBDI1V65UULLyFVZtphFy6RDtc/MnoXS80whw2QwwhqMqNTz1HabFGtF7KtzWhddiEhTmCzk6F31CPyAZDpJrpRF0wW30L3q8fWfv8t0Mg2bxmIlx9mzMyxjSKFWYtQfkS8Js8tzPbpXPTZvbPLRj45Ql+7KFcvKHpo8+fyUykZFeGjxGJ3LLoPugJgWI1PIsPPWPRFmp+O0lpT92WiM2Tdpn8vF58HtDfSdG0JpL4vkOwgCFvMFxa06py9bbH/pHT57cE1yYwdVT2GaM7nQbHUpVTJo6ZTAfs0x89mc/jLc/e7XblG+/zoxLcZ8NqfdMjFOztm/vREiKgCuzgQqWz7YY+/WhhgJnj1gMRdG2uefnqMoCkSge9VjPpvTPNhkPBiz/+ZNbHMMwzYASqFKriTXs/bElkZ96lCqF/nSz94jEpFwffeqS3WzSiQaEWYZEEsmKFWyEAHXdYlrcSatthDz01kGPZNoIkHnvEWtlkYp1lDVKIVKAb2QFRtFPM6gM8B++D799gBrOCYWj7H3tS+HQX5vPueNd3dDZhnRKBNzQlSJMuyPiN/9CvMnP+LFszYza4ZnW2i5jAjSt6qoqoq7cHn53d/GHxngLsg1G2HY3uwOmJgT7L6B2TcZGhOG3SF379flsEWRw5Z+y5DPOfLFoQueh20Jc65QLUA8gaIoS8SFGAqCiYm25OutJp1AOPlczBfEtBjdqy5qTKWxXSVTq1Cs5PA8j4WzIBpdOj0nUyo3Dzg9MTANUzh6aZlG5opZWS37AWePj5m02iT1JIePz8hVij+B3zTrWte61vVq1SvdnKkxlWh1Gy2d4s7dGvPZnEy1hBpXKdaKjPpDRu0evVafdD5NZaOCGlOZjKzl+f8WRtvg53/+Dvfe3Mb3fMZPP6P74e/Ik5YfUGyUiSUTOI6Ixu2JDb5cFurVqvg5i1m0pIbneQy7Q0xDNFDuwsVzPV4875Gv5MX3+PwIx3HlSab1Ulau1QKz6Vw0UIEEq3stg2wxi57Rw/xXtpilst0k8APaj58Si8cYdIUv5XTbdB49lolWf0wqneLRx4dU6gVhWVkm1c0qCT2BdXrE+UmXUk2yYZFoJJz4JfQElmmRL+cxjQm96x6lWgE9o9O+7LOYL2je2uHyVHAOZt8Ec2k1GIxJ59J89DtPmE6mYgQw2oJbSKVxHMGCqKoq6qmjxyE+4eKkgxJT0LZu4vu+CNc//T6KqnDzToNsMYvd7WIuc1aXpx2UeByiAuWtbFSE4+bMwwvWO2/sMncWfPi7zySAryrkSjkymQQ37mxQbZbIlXIUKgV6bZGJE4Ce00nXa2GzO7NnZAoZcpUCTx9d89Wfvc3zh2eitlo25KV6iTff26fy9W8RiUbQUrLisyYOlUZBILutQ0Yjh1m/z+5BBT2rh1mr1cQs/+U/xPCD7+AtFjRu7QnCZGLTOTxBS2l47VPu/vIvgGOLtiudpLlbJ5FMoOcy3H1tg/LuZmjBUGMqv/ubD0ROXyuGWq25MydTyFCsyGMgVy1i9s1lvjFCZbMGyGMxEomgxlVqd26GUOGEnqBQKUhjFwHP9ahuVskWs1Q3ZBp49vlTFvMFrfOuNKo36xQKydDOEAQB/YefUW6USWVS3Hptm1QmRb9lCKh5bFHcqoNxwfBKgMaz6Vp8vq51rWtdr3Rz5nu+NCYTm4efX5LOpQmCINT1pAtZUsU80eWEYjwcMzi/FF3N3OXlkwvKjRK/87uHdLsWxVqRSOMAipshNHVkjAiCgGF/RK6YZWO7AinBDDgzJ8yjrdAXMU2ezMy+ie/7bOzVmZiCoXCmjjQpyykDm3fIl/Ms5guskUU8Eae2VSWdT7O5W2PQGfAzX99nPByjLVdLK+hpvFwLNTiBH4Ceh6y4PGNajGFvSHN/g+OPH1DfroOihhYEUtIQTMbTkGXmuR6N7QoAjiXi8WQ6CSCN4/JocTqZ0m8ZIXpkYduQygOS+5qYEzQ9yc27DXEybu7Q3G3IFLE1CFdg6VyaaONApjRAQk+gZwXwqiU0UukU7L6F7/ucHvcBiOqZUPC+uVsTDVFGTAOaJh7Ht758A0VVaGyWOT/pynXgUp+lZyRHd/bympOXbfrtIb2rXjgxU1QlpOpPhhPMvsngso2e0RkPxszsGaZh8umHJ6QykmGzR5PQDfrjD19itA1Zv9pTtITGV97ZYNAbyzFGeYdOy0TN5vjsR89RFIVBZ0BCT3Dr/haPH1yIrWH3TTj5jOujCzL5DJWtOrmNhjRzt+/z/OEZam0bRVGIxRRMY8xsKj/Hl4fdML/VuxZSf7Zc+Od8s87MCSeYq0vOlb5L1stTui9PyJVzpHPyPRsPxnJZu7RhVOpyALKyP/ieL6tJZ8FoMCKVSRHLF6k0Smzt14nFY7SuTcZjuZ61x5I1o9Bgak1xFy4vHp+jpxMs5gs2dqq4c5dhdwjFTTZu75IpZNi/1fwD+M2yrnWta12vdr3SzRkRZD109gB34TLoyJP/dGDiLlwK5Rz26aEoj67OBBJbLIbcsqgSJR5XyBaytM479K57so65c4NsKUt9uxZeqmlJjdFgTK8zIp5JS+jesjHaBvG4QDTTmQRTc4Qzddjaq+EYBv3OMHQ96lldcB8xFfvyjJv3d8Jrw1VQ/fLZCSNjxHzu4ns+v/Gbj6luVjEu2xRKGcn29ESlky/n0RKa8LtUhepmFSKE+qXr0xaksnQvu6iFMv3TS2qNAsWtJu7Cxbjqoqpq2HicPD5mOplS3WkQ02K0TlsSFL+QK9X4MmwfVaLky3mqG2XUZBKtVOGNd3bJFmQdpcZUXjwR+fhqUqMlNSZDaQQ2dipcPz+WBnE4kYnk2MbsmeF1pDW2aOw2cHuSvVp9Tf/Jn/sZ5rM5A2PCYmigxkVwfnZ4iWVaPPzkhGg0yvlxi/HRc8YDQXvYYzs8sohrcfKlLKWasMF6Vz30jM67Xz0gqkQpN8oUa0VqWzU2bu+ysV3Ct8YQCPne7nZDLVMyo0MA9YbkyLz5XK4V4+Lr/Pv/w6eYpyfs7pcp726KXiupocbjIaZjMpzw5LOTcJXZ2NuAnTfg9HOMjhFquzoXHczrbvj9jEQjjE2LSj0fctrms7m4NuMx0jlZ14/6cn0ZVaJ8+5fukc6l0RIak06PSj0f2gwikQgbe02i0SiJUkkuP7tDUukkhWqBdC4t2TbX4/jpuRyRxEU6vzogWa2s7bG9BMf2uL7oMR7KY2xsytu1pMbMmpHKZXDnLtZwzMIccnUqcYSjp+dUmksGXbHIeChu0aNnVz+BXzTrWte61vVq1SvdnEUiEfZuVFBuvCty7iX+INeoEIvHZOKTFB7TzpffZToWptbrb22GMMyTh0fYY5vqRoVKs4zv+XSXBHbP86lvlEIobWOzhHF2QWO7ymvv3WT/jQPchcv54SUJPcHJ8wtS+RxJPcnZUYtMo05ckwZl1XSoMbnae+cPf43O9ZDrzz4jnU+TzomiKNeokEglOPvkc0oNWdFGoxEq203MocBTPdsiX8mH6IhvfPMW1c2qTPi6Q+yzl/ieT6FaQFty3LSERvVgG9OcijYoGkFLpyCCrL/iKpXtpmSXeib5oiAPvvFzd9DSKeYzcXam82nqm2UJ0neG3Lq/LeH2T09xXZdkWvQ7AIPuAM/1uPzkU1m/7TXYu9mgdWnQuLVHqV4iW8zinEkofXO/QbVZ4s0v7bN1sMFoMAJVsBapTArf8/mLf/l7aCkN4+iEWL7Ixl6d7d0ygeeRzqfRUpr8nRfH6Ls3qG5VcfpdtKRGc6eKM3WIKlFsa8ZoaFHfrpMr5TANk6urMePBOFQHjYwR3asej3/4gFSlghqX6aNWKIoFotUX+v7dDU5etlnMF9x684BkOsndN3cYdMVrWbt3h6MXHXkc2A6xeIyb97fCx0MiJVNDbzpFy+cY9oZUtxuot7+E++xDADLZFPt3tkgVhb23uqAcD8aYQztkx03MCW+8s0O+lCGuxQmmFkpMjhuG3SG/8c+eCey3lCWWyXD46BQtEad70Zbpoh6XYxDPD9fpmYxGOq2hqlHmY2lw//AffZNSXRq45o5MMR1LUCCKosiRSCYll8jLPOfb7+5g9s0QO+JMJqEZ4L1v3kVJi3kiqkQpVovMlrgbPaPLGtya4rz49Cfyu2Zd61rXul6leqWbM9/zUBT5FJ2pw3w8YdgTQOxoINoeRl1a5x261wbRJc7g4mIkHKzlOmpju4RpjJhNHTb3G4BIwM2+Sa9jhmvI9tWASFLn9OEhp0cdodUnNIq14lLkLAyvxXyBO3eJKlGskRVKnFdMr5gW4/Hn53K1uL2HNbIku4V4QqfWlOKNm+EqzugMpBFbrsGwTRLJOIvpjKk15eNPzmRlu2zWinfui1vxqsvWXh09q2N1OnRenmG0jfAJM5FM4Fo2B7ebOLYjWANnQX2rQr8jpoHvf+cxpVqRxlZZ3IeqwuVJm/2DEul8muePzjDPz/E9n2g0ysgYoWUExaElNDE2NLdJJGLYkymHTwTWe316TTqjMRqMqL79nmTWRjbjkc0nv/a3GfZHWMMxKNIkreTxuaKwx+LFMouJxemD57x4ckl1u042l0LP6HI1W9kM12K5rS0WzoKT5xcCyjXMcM18/akgObyFx+nTU3zPD92fKzCvVizy3pf35HHhB1SaJbSkfG2+7/Po+59QquZFH2ZOmc/mPH90ESJJjLbB3JkzPL9EiSkMOwZPvvch9c0K2WKWdE5ndHWNXpYV73Q0CSX0ide+xuzhDxkNLTrXg+W0SqV/ITiTfCVPuZLBdUVhlS/n+dF3HjAaWqE30/M83H4LdyaHA/bEpnXWlhB+XGXQHRJPJogn4nTbJt3OKBTJR5UoRt8iCGDQMyEWZ+7MJQpwconrupw9PpbmMCIsvs3dikwYxzaRaARnKP8Pff83PqeyUSGuxZnZM9KlQqgte/DJCZv7gj6JRCIYbYM3XmsIvPfkNLQSJO+8+wf2+2Vd61rXul7VeqWbM0VROT7qidMvmyJTLVGuF7lxu05zu0r3+Qsob7EYCzJh7/Ym89mcXntAY7NMvpJn5/4+py/bJFKimDl9eCjYhJiE1ldN08Z2hdHpMWpMJb9RFxr7fEEilSCTS/Glr9+g3xZq+0pCPR6MmVsiXS9WC6FH0B7bzMaWcKwCUBQJqheqBazzYxzbQY2rvPFaQ7JQioKe0dnYlNWZWt3g+rSNlk6FhgBrZMk6KpXAaPVEED3qMR7PGBsmiVIJLZ8LFTrleompNQVgMnEo1ooiVf89a6nVNag1tul3R6TSKa5OrqlvVXj443NmlvhB080mtc1ymCWrNsuMBiP5WvsG0WiU9qWYAUrLj5vJZzh6dIJjO3TOO2QL2fDrqP3MLzF++QycKVpBGpZYPEaxKgH0dFYXyn65wO4bt2S6omucv7zGmYlOKKbFSOdl+ieA2yI4EuzXUkmskSXHAfu32Nyro6gKe/d22dxvhPLwhbNgak1RYyof/uiIWDyG7/kM+yOKZdFbKapCYW8PazKjvlHEHts4A8FyrCquxaVZLYoBgCBAq2/QvuyR0jWuTq4hqmCZ8jmxcEJ3ZW2jTOErv8DgR/9MoMoTm2HfRC/mcaYOQRBwdd6XlTYy4U3mBLXx+ju7JEslbtzbAS0F8xnz2Tx8vC3mCzL5THjtOZ/Nw/Wy7/lMDFM0UyMLoztCz+hoKY10Lo3V6aIvs2xEvzBCOFOH+dzDXbgoMYXOs0Oy9aocV5Ty4Xp87sjHcq0JlWZFvLCtL9RQek7n+7/9VJrgQknMH55HXIv/Qf6KWde61rWuV7Je6eZsdZ4/n84wjTF6VqfXMjh81qLfManeuUWuWqa0s0E0GqXfFaVRLB7j/Ki11CHJJGvYHTJ9+EM27+5T3Kozs2dyWRhT2buzxflxG1JZdm40pcmoZsOJmuv6PH3SliD/8sndXbjcfn2HdKmANbYYDydYYwvr8oLaRgmWT1JBEFDbkPWQrsdJbUrw2eyZfP7wWpo3VZEg+4mBGldDgbTv+RBI/igYD5j3OyGioVhKozW3sUYWei5DIpUgnUsD0Do6p9nMsJgvqO5vEo1GGA/HjNrib2ydd8mVxR+6Eorv7peZ2TNBMbSH3LrXZGtX3haNRhn0RuEqzDTGRKNRokqUwqZMIuezOfmKQF/duSvZtIRGdasqqImxxXw8CTETkfIGiVKJwJdVdTqn01vmnVQ1KoaBdoeLI+GJHT87D1lig+6A3RsN+i+P0ZIaU2vKxLSIJJKiRAoCWfP1RAF1/Oyce29uc33e5fKkFWqafN+nWC3izl0WjoCOc+UcgR/QbQ2pNgqY11129oS8f3kqBwjJcjls3K2RFSqkvIWYHvRClsZWBS2pcfbikvtv75OtS17QaBnoVflvRttAUSIs5guy7/4co49/m9pOA1VVsbp90UtFIiTTSRzbCYP5AMb5FZ+8/wI1pnLy/JLy3jbZjY1wavqtbx7gOnNS6ST7d7dI6nL8EQRBqAzT0ineeb1BPCFXoePhGEVRRGaelytgd+aQzGXxPA81Liva2UymxI5hgDsnmU4ys2SFu+LirQC7KArjoTxegiAI0SkLZ8HCHIaoj7gmxgFn5vzB/6JZ17rWta5XrF7p5iwWVxm3u+BMiSfiIuIOAiZPPmV0dS1Yi67BzJphT2wKpQyKoqCoCuVGCXtso2d13IUrE5+f+WUuPvwI4/AlC2eBntHJl/McPz0nmU6y/9o+V2dd8uU8/a6sfvZvNVgsXPqXHRbOgrPHxzhTh0w+w5NPDpkMJ+zs18iXsnKQUGtgDiySGZ25ZeF5HsePTygUdfrdEfbVOeVanv3bTTzXo1BKk87pbO/XsCc26azO4LLN4PMPWcwX6FlZ4xFVUAvSLCX1JC8+P8KxhUjf3C7jTOVoIBqNgh/Q6ch1au+qx6AvIFGsAbmi8L52dks0dhtElSiNnRqHz1r87Nf2KNdLWOaYVmvCi8cXfOUre2EjUqnlyBazTK0pv/ytO4wHYwZPH5HUk5Qb5VB9tZKqu60zOkcXMq0LIFnIhST9bDHL7PgJ8/GEfDHNO6/VUFWVTCHD6WdPGHQHRHU5kLj3+gbVzSpRJRrmvE5fyjFEOpsKm7BiTbJi6Vyab/+RNynViuLVVFXabTE1JFIJyvUiRssIJ2d6TicSlSZp4SykcfN8zl5eE0vrnB73w/Wc7/uoMZVKs4zneuIcXWJGErpgKKznD3AcD2tkUdmocPT8WjKACWlErKNnwhCbz2ld9MNQf+3nvk37t38dZ+Zw8Nat0GKQSMjF8AqyW6jkufOlu/gj0Yi58zkTc8Lo/IxBZ8DcmfO3/s5HMJ2gqlEsax7m+grVArWtGhNTGuV//Le+T+AHGG3xhib0BNbEwZk5pHNpEhmd2kaJbCHLzJphtA06Fx0y2QRqJsfm228w7A65eW9z2SRP0BLxkLnGzJLvcVaXtX9vgNEymFsWuc0mjWY+NArUmkVi8dhP5pfNuta1rnW9QhVZrblexVJL+0Hs9f8lan2bYrWIPRHHYq1R4PTwmqgir8b1rM7IkDXb1Jqyf2eLzvVAkAOKEl7QaQmNg1tVPv/oWNZD6aQ8cWR0fuabN/it33ocAmEXMwctlZQ8jzMnW8qTzumkUnGuz3tfrMaWmqSZPRP4aSSCM3MYdAY0dxv0rvs4A4N0vRb+udWT7NSakilkGBkjotEoqUyK3otDigf7jPojAXaWctgTuYDLFrMhRmHhLEI0QrFWpHfdI67FqW2UOH52Hmp49IxOQk+Ek6TVxWXvqifg0SAQ2KvnUdioCT5huWrNlXKSMUtp4Vo1Fhc22Hg4xhma3H7vDp2WGU5HVkw13/NxZg5JPUmxWmCxcEmnNY5+8AHZg9tYIzl6aG7kefDRS7SURiweo1zL07roCaYjq+O6bnhwkclnZIWbFk2TY03JlQtEohHchUy/1LhczQ67Q+KJOJN2h+qN3XDCtbrknU6mKDFFlERTCfGPun3ius58NGLjzj6Xx1foGR1rOELVNFxrAu2XqPtv4roum/tNBl0Tazji6996nXZ7wsVJW3JoV11++Vfe5vBkwHQqOcNSJcvL7/42d3/5F3j+8AyAUr1ELK4y7JvSuM4cZg9/yO63/xjmwBLwazyGuxAOXyQSwZ/aqOk0iqKwfVDn6kyukOfOXJRPQzFI5Ct5hu0+mp7C6bbQm5sk08kvhOnGiGQ6SeDLNG3a65Hf2sBzPaaTKa4rL2pm1mx5uBKVx9LCY/egwpPPz8LwP8gEOJ1LM+wOwwldfavKxaMXFHe3MK66EPjcfvsmFyddEnqC/sc/oPzeN4hrMfotg1w5x9lf+rc+DoLgvZ/YL551rWtd6/oJ1ys9OfN9n+K910SwPLao1AuY3QEXJx0qzVL4hLy6OmtuV6g0K+Tz8mSRSCVw7Ck7NzcAMFtdHv34DHcyQs9Jrqm6UWUxX/Db33seXgwuOpds3dzCGUoAX9Xk8jORUOlciwszEo2gZ+XKrNoski/nsUYW1x9/iLfwCDyPy9/5DpFohNqtfdyFSzQaJVvMEtMET5ApZEgmRVNkjyYkUxp6Y0ME7zmd+NLXOZ1MsXs9Wh/8IGyQ1LiK2TdJ59N0L7u41yc0tyscPzoCd4HvyQVnJBoh8IVzlc6ll8opjdfePQhZZnohS6ZakibHFYjsirGmpTSspz8mnUvLqnU5OXImNnqlRHRJ4ncvX1JulMLAd66cA3u8lIXLx4/HVYhEGfUGeM6M/pPHPHt4Tq4s5P+JYdLvSA6quVtDz6awHrxPUk+iZ+T7cfvNfcp1yc9Vt+q4rksmp1NtFMK12ej3QILzm018T5oRd9mkr5qYRDJB4AfiKx1ZlLcabO3Xqd3Y4fLp0RKJoZKrFvnWL91n484+VPfIFrPEtTiDniBd9EKWRw8uefmP/4FkyoB8rcT7Pzrh6NEJvesew96Q42cXoBd48s9+Vx5PqYSI31+cyuPzus3GTpXdb/8xTn797zO4uJbM4RJFEgQBhWoBvVzCbZ+jqArXF32sblfgvL4w5vKVPHpOGu9oLEalWSK7vYM1limWqkouMqpEURRBcMTiMYo7W0yGk1DMHtfibGyXyRazzGdzIpEIpXIGz/N4+vCceecKLaHJBXUph57VmU6mbB/Uw+/xxYcfkapUZMpYK6EX83hegOu6FIppbvzSL9P78YeMhxMSeoLX79V+Mr9s1rWuda3rFapXenIWLewGmT/ynwOETKeYFiOTTTLoyxP/eDDmW3/oNv/41x9AwHJ1pTExJZA/taYk08lwEmONLRRFobld4fDxaQhoVRQFJabQ3K5ycdwilU6F13BBEIRh6KgSZeEssMYWcS0ukNqAcMJBRJrCiTnBsR1u3N/h8OExEUUJL9yyxWwocnedOWpcaO+5co7ORQctKZDWqTUNMzp6RmdiTogn4gxbXbIVYUQFQUBjs8xk4jDsDXHnAltN59MMOoMwu2aNLHLlXOhK1LM6pmF+QYiPqTJpGk547Z1dHn8mblJn6oR5Ni0Ro3XWIabFQgr8indljcU64Hs+o2cPyN15g5k9g4hcQCb1pKymO4MwMO4uXAHSZsQL6bkeo/6QqKqixlQK1QLtc5lEBb5cN6ZzOu3zDoVqgYk5oVgt0LsWiG1Sl9zUz3/rPtedCc8enJIpZIhEItQaeV4+vQiD/FpCCz+H1cQnpWuYxoTRYESlWSGRjNG+7IVrN8/1WMwX4WNjBanNFHOkMinaJ1fEU0lhfNkzijWRfI+MEYoqE1zcBZFYHEVRiCyD9tliNvS8zmdz0rk0g4truHyCdu+rIkOfTHEdh507O1weSw4vmU6Gk+PJUKZqqYxgUczegFhCk889At7Co7pZwRrb6JkUV0eXYjmwbG68vs/LJ2eCxihkGfaGgOTCUplUiB3xfZ/aVo3rowvKmzVy+RTHz+R7mkyLGi0Wj1Eo5zj//nehtk9poxpOryORSAizVVSFQrUQ8unKjTK9a5nm9v4ff2Y9OVvXutb1U12v9OQMYD7oh0iDmBbD7JkMesKrAsiVcvzT3xBNUEKXVV6/bWBP7BAOax0+plQvMnfmbOxUqW2UGI2k8bnz+g6VjYo0CAEcf+973Li7GQJW0/k03stPlz7HtATVxxaFSoFcSZhnVqcjQeylt7F/2ZFAeErD6I25984Ndm9tsrVbpr4tkzrz4oLGdg18wRn4vo/ZM2nuNkjqSerNPIqioKW00HEYVaIh0uCdd7dRYyrVRpGjp+dMrSm7NwQu29ypShNm9mXVuJzS+J5PfUssAYqqQO+CQqXAvNfGPnxIuZpDURV+/P5zmjtV3v7SHpWNCkk9yfZOgV7LIBKNMB1bzJ59Qq2Wodoo4MzkGjST0wEovfEOruuGOaN5r83EnMgKtl4Mp3CVZkUmeboE692Fyx/744JSWDG+ViH4uTNnPBwz7Jncem2b3lUvBAfPzWGoHcrkM3z44Qknhy3eeG8f8/KaqTXl5ZMLfM9ne7/OzDDwfZ9Ko0ilWRYQ71UPayJw3MDsUSzpnH38GY41ZTowmZ484+4b25TqJRbzBb/wy6+jZ3VoH7GYLyT3lsvINFRPshj06bf6WCPJ/imqAjObXLVMbatGY6cm77/8uSb0BIlUQrAt8wVqOo1276s4j99nbJjSvFeLTMZTPM+jsVMjnUuzcBZikIDQr0kE4kmBKzsvP0fP6GRLWWZLFl/3qkepKY+DiKoynS4IXBfr6pLrBw+ZWtPwanJqTWUiubQrLOYLmgebTMwJm82s/LzrJfk6q8VlNs9H3blLZOkKVWOi4BoPx1TqeWJaTNA15+0wDuBM5TE06fT+IH6trGtd61rXK12v9ORMq90M7v/5v4yiRLm6GDDsDUMYred65EpZ4nGFyXgmq6sgIFfQcV0f15WrMcu0sMwxsYQWXjPqmWSYFSISodgo49gORAjJ/CuxemO7ytWpEPRT6RTFShbP85lNF+wflDg/N3Fm8zCoP5/JemmVz7HHdjiVssc2vudLE1EQxIHv+0wnU2rbNRKJGOZgEq5pF/MFM3uGP5uRa1SIRqOSn0toeK7HbCqXlIVKHrM/Em7V8ipOS4pQfe+gzPMn13I12iwy6AvOIpFKMHdkSrMi6yf1JP1WP8QdrKwGchjR5PSozcJZUNus0L4Q8OuK7+ZMnZAif+N2nU9/9IJ0Lk0sHgsnZqvPq7lV5uTFlThLE3EGXSHcO1OHQrUgJgjfp7pRoXvVw/d8QYcAf+rb9/jxyx7HR71Qo3X/rV2OXrTD5nX7oMF0usD3A8bDcei2rG9V6LeHVBoFYjGFs5ctyWAtV7EiDZcXA3FNpnsrPIrZN8PmJKnL+8zsGZ7nkSsJ1HX1AiGlJ+i3B0wHJtX9TXRdw/cDeu0B08mU5m4d05BGxRzalCsZrs77JNNJEokYY/ML28HYMOHkM976M38ay1ownS4YdE3JE2Z17IkdTlp9X65pZ/Ys1I6tXKcAW3tVzo7aMoV2xTM6Ho75xs/e5uXxgLEp0+AgCELd2LA7pLpZZdgbsn3QYDiw0NMJOlcC6FVjqmQZi1kOblY5ftljNBjx+jt7PH14ESrCfm+ucuEsRBcWQCqTwl24oZbNXbh0f/XfWU/O1rWudf1U1ys9OVvMHGx7wXA4FbbVcm3oTB3RDEUjDPpj5rM51thi8OQBtj1nbFq0z9t03v+eNBb3RKOkxsTPaHSGsrJUFIhGGXaHFCo5bt1tEgQBveteGNo/e/gifBJyFy7jkbDDOuctzs6G6HqcbC4ZThfGw3G4blo1ahNzQueiw/jwiVzB5dNoSw3SdCJ/X/vkitFQQuvOzAlXfVElSqZaYj6TyVGtWSSVTmA+/lSYUloca2xDRFhhWlKjvlkmXxQO2+cfHzMxJ2TyGc6PWpK5GgiAdWYYDHtDZkOBwK4wBiuv6KA7oL4pVoVnD06JxWNElSj99iBEIBSrBZlu+XIAsHtQxTCm5IqSI2tsFELPYiqdIhqNcvLi6gu1kWmFQNZkOkn79JrNvRqpdAqzPwqb7uFli+lkyt/4O5/yyfsvsExZTydSCU5edgmCgMCXn0Hrss/UmhGNRsI123w84fqsw2K+oHNlsLeVw3M9zL5MpQDeeaMhHsqBGR4zrKaW2WKWZDpJLC5Tn6gSZe/2JkwtMjmdcX8YOipn07k0uMU8xaJO59rAcUS9FNNijIeWcL/aJmbP5NmDkxCXYRoT3IWovaaTKVoqyVt/5k/z41/7m1ycdOhey3VnJBohX8qwuVfnS1/ewx7bjIwRo8EILamxuVMJHbT2xMbzPJ49OJHL3wgMOgOssTTpn356Tueyx899fZ9Bd7BcF+eZTqbcfWsvPJg4/PV/JP+vTWZfeG6jMpUNgoAXT1soqsLuzQ0ef35GXJN1bLmSJVuQVf7BzSq1DbmidWYOU2u6PFxJidliefG7rnWta10/zfVKN2cRJcrp01MGXZNhb8jbX94nqSdpbFfoXnYZ9Ey+/pU97ImNqqpkb97DMq2QX5Z9/cu89tY249GM8XAcugE91xP4pRaXqcfcwegMefboUl7Zm0M29xsy8crlQ7BrsZqn3+pzddKm1KwwHk44Pbzm6Ok5C2fBeDjGXyzonLWwxzaD6448GSI5tMT2DfSsTv/wJYoSwby4YO/OFnpWR4nHGbT7TFtXIetrPptTrBbDjE7gB1yddYnFFEpvfUnwEZUs1sjCHttho3d50ub6vEs8EaexXaPcKDMejrl1f0swFhsbJFNxSKR4/Z091FSKeCIu7kfXYz6bE/gBpXqJq9NOyDBbOAvy5XzI9UqlU0xtwZgsOpcEfsDRixaqKlebvu9zdWHQ2CxRbpRJZVKMnj8MJ1WrTN+0dSVuRmsGkShHT89pbBbJl3N4zozN/QZaLheqf4IgQM/p3L5doVDOYY2s8O/b2qvhzl3Mvok9mWL2TYb9EelKkXgiTiweIxaP8U//7vuhBWCVJfvxo7ZMHDWNWfta+GOlLObSODDqj6SZMARh0bkeQEKnfdElXczJBMgPQgem7/ucHbWxun3mM4HOOksJeCKZCB+HSV34bDFNpowTc7K8EnYEbWEtSL7+daYPfkBci+PYU1yjy3zucXHc4sHDa6yRxcJZsHd7i5gW4+q8H17YakktzLIRgfFgTLYgObdVZlDP6vy9//f3yRYFcGuNZar77MEpU2uK1e2i3/8yo/6QYW+IPRFB/cyaUa4XsExL1tslHXNo40xscsU0mUKG1qVBEARkChn6fZvpVHJ+xWqRSV+uqod9E2+xWHPO1rWuda2LV7w5A7kkjGlCbn/+tA3A7YMSte0aiqLw8edXxDUJ1HuuR7aYhQDiiTgjY8RHP3jOoDOgsSPw2Bs3SmzsVnHal4CsfVAlFL+YL7BGFtlmg7FphzkbVVUxuwOM7pDN/SYJPcGgMyCZTqKoCgd3t4lpMaqNIvlaiWwpL8iPvU2i0Wj4uVWbJfRMitz2Dv32kPLBHn/yZ3eJKrI6S2XTRHMl7ryxS69loMSE6P/aO/vhai+pJ7HtuaAhbId+x2Rrv8HN+zuSzfN8kukkWkLjl791B2ssuiHf83n28Ix0ViZyk7FMty7Oh+TKQpPXkhq+73Pj3na4nlNUhfqOQHsX80XIjNu/1aB33aNcyRL4AemdfbnuTGh0riX0v3Dkz7cuDUaDEePhmNTeHXLlHIqisLlbRc+miJWquHNBZuhZnVK9RPt6SOusTbZSIpGIUawVcRcuxUoe3AVG2+CjHx1hGmPS+TSJVILGTo3O9RBnMgn/fCQSCXNr1UYR6+xILmhv7glP7PaGZLxiaujcTGVSqIWKTCsHXwBUQQ4JtIJIwj3XI5VJ8c5XDgDIl/Ok8+kQUqwlNQD0col/+4/cJaknSRey3HtjEyUmBwHW2Ao1UvZYGp5IJEKpXmLnzo5MV6cLfN8n887PMv7ke0RVlez2Dq2zFtsHDeyxTSqTIqEnMHojjLZYG+69tcfOQY1sMfvFIURSo7ldwfd9CpUCyXQSe2KTSGlUb+6F+jGzb7KYznjrywdkChn0SgVrZJEp5mT1uWxCF/MF5mCCe/QZakxF12N0z1vcevMAVY2SyyXDQ5ZYPMbJwyMKhSTj/pDedY9ENkOpXiKpJ9H05NoQsK51rWtdvOLNWRAEpNIpFvMFiipPZq3TFk9e9OhcdLAnNjNrRqlWYNQbYHW7DHtDcqVsOJXxPR/XNLg+uSaRStBqTTg7vAY9x3w2DydAq4vMUq3IqCuk+vFgjO/5mIaJEotRrhU4//RzknqSSCRC97JLbaPE5WlH/JlDi8ZGQa4cTfEN1rcq+J7P5l4No2tijW1Gg9HyUjHO/+2v/yjMgJVqBXxPpk3NbXm/0WDEs4fnRCIR7t6Xad6gMwAIRd3zucfx80tsYxhexTlTh9/4zjOyefna0jkBq+ZyCVnLLfNrc0caPUVVwsvF8+M2mWyKzmUPu9dj0B1QrhXCnFyxkqXdkvWZokS4eacessiskcV4MKZz1iKqROWS0JygqkKXt9st+sdnWCOLTmvI1JqxGPTJFDLh1eLMnpHOpkL6/8mLK5ypQ6mWx+gOyVbkyTwWj5EvZcjmJXt18fIKa2xx440b9C7ash7sXYZ/53zugV4gnU0xHozJlXI8/fyEQiUfruamkyn22KaxUxNFVC6Nf/wZU0uuJZ3JRJq2Tp9iNc98NufhZ+cEvkxkF84iFJK7c2nQrF6f//bvfc7IGDHp9Dg+6oePva/8zB2GrS6e6y3Xuwr+VB7Xl8ctjLbBoGtKPswwid54F//wYxRVIa7FOTu8DqfBkUgERVFIpaUBPz3qcHLYwuyZYX7RHtucvZQjiUFbmtHNvTr9tkHnRKafq/WrXsjy6Y8O6V92wv+fihU5GlFjKoVKnntvymGKuv8mljHk4txEz2d5/vkRruuzWHgkUgk0TSWuxWjc3OH4heisdm5uMOu0GHQGgmcZTyjX8j+R3zXrWte61vUq1SvdnEWjUVEKJbSQ2n7v7X1GQws9q8u1ZDrJ1HbktL/ZoFDJk8/L5EjP6qhxFfQsiqrQu+7Ra5tElSg337xBdbOKGlMp1QrcvNukfdbGdT0iS/mz67qMB2P2bm/R3K0zmy0glWU8HLN10CBwHLqtAelcmrtv7mFctnnyD/6hPMmm0wxfHjIe2eRKOa7Pe2zuCO8pWMjKa9AdEovHqG/X0FIa/fYAppKhe/n4jEw+g6qqpPNprOtLfvhrfx+jbZAr5ahtiBUgX85zeSzTw4imMTUGDDsGB3c2BM47tKlvFBn2hhzc3eL4sEWulAvzSADb+3X+oz/9djh5i8VjXBxdo+d0so0689mc06VU3Pd9jp+d47ke2/s1Tg5bHL/sMXv8AUEQyNWhniCW0Jj2ekwnUzb25Ip0a7sAkz75rQ2K9WJ4cZuoVMmXsuHqz/d8YjHBLyz6HUr1Es7UYTSUKZM1sqg0ioz6QyajKWeHl2gJjWRaJi+tyz7RWIx8OU9iUwwHmUIGRYmQqZZonXWoNuXj5yt5ZlMnhPkW60WyxSznH30SXonm3v6mQHmrRZiL4ipdKTKfu+TKOdK5NOl8mtH5Gb4vhwKxbI7mdplBuw/jHuOOBOiJJxgZIzzXIxaPcX09Jl+Xi9ipMSCbTaCm01inhwRBwMZeIzw8wDLFELB0caYyKTb368xGY3zfZ+egHjLLEnqCTD4TKsRWntBV7k+NqcQScgk8Gc/Y3K2RyGbIlXP4vqydG5tl6tt10sUc1c0q1a0q3Wsj5MJdfvaAx5+dfYGQyWawxmLFSKRTmIMJJ0/P2NipYFsO4+FEkByez1tfuUEyGePWV9/Cm8/pXnaJ6zqT8ewn+StnXeta17peiXqlrzUzW3eC7f/5X6LfHYljczantlXl8rMHkMiQqZbCa8d4Ih5OjFby7dX14YrHtZoIrLhRiZSs7eazecgvyxazqHGVhbMEuSY1RoMRALNuBzVfDJENvufz7pd2+fBHAixdha8DP6C2WabfHmL1+ujlUrgqCjyP3TvbeF5A57JHbbNM56ov67KkFjaEi5lDIp0SGffv+Rq1pBay0tKZJNdnnSXo1Q9XuQTgzucoMbnY8xYLvvaH7vPDf/opmVqFqBKVfBeEIvFCpUD3shtez62mlaqqQkTcmUk9SbaQxvMCIhG4OrpEjcdxHQc9nyUSjVCs5Dh7cSmezYE0sRfHLXFYui72WNbFuwc12i1ZwWlJYZ05U4dSNc/p01NYhv1XDs+VIWDFk0ukNPotg3tvbhOLKbx41g5ZXGpMZfuggev6oWx7MV9QaZRonXfwXE/8pu0euVoZ8+KKVKXCwe0GTz47la87rorjcixTxVKtSPeqJ2qwepFKRefpw4tQNzS6uiZZLpNMJzHOrsg1a/IY8v1QIVYsZxkak/CFQjq3RLOMLF5/Z5dP3n+BPzLQyjVRcSlR0rk09tgmX8own3u0zlrEtTipTIrhB98h/fbPhHosqz8ARUGJx0N+n5bSaGyWOXt5zb03t3n82Rn5Sh4COWrBdYlocsmsZ3Vpgo0R3mJBLKFR26zQvZZJX7aQFTbfyCRRKsnnsLQBaEl5MTSzZ6TSKYy2ged54TFNMp3EOG+h6qlwSpjUk0SjUXmBNZHDADWmYv6NP7u+1lzXutb1U12v9ORsas+5PO1gnl+QK0ngejycoBSqpCtF7LGNdXFGoVoIxdW7tzZCnc/cmYfgV98X2OdqpbfKDKkxlagS5Ze/dVcUT0sh9dSS68XedU9o9M0SqVo9vIgsVnI4M4ePPjimtlEKL+gaWxVZzzkuruuSKIh7MZ6Ic+u1HfRchqvTDpfHEjhfLHwUVUHPpugvxd+Ll5+RrxZD2On+zTqZQoZKoyRZoKF4EK/POqLrWR4MxDV5Uq5tVVG1OHpWqPrxZIJnT9oUNhvs7FepNwuk82lSmVQ4gUynNdSYyq27DTL5zHJlKU0KgeSppFmL8ktf28Hsj6hs1vB9XxopPYGW1Bj2x9S2a2RyOrWtKpPxDHdkYk9saSoLIubWNMlY+acPRSaekqZzMp5SqJdhPg9XdSuMSaWWJZWRJ/ero0si0Qiff3REpyPYiVuvbZMtZinWigA4jkuulEVLaiRSCa5OWiHI2Jk6pEsFMjmdRKlEPBHnxZNL9KxOY7uCntHxPI/925ssnAWj5ZQvX87Tvujy/PEXWUd7bNO4cwOQK8hoMhV+nLgmsvbxYIxtz8PDjVg8hjWyMM4ucIYDHn12hp7ViWQKbC8nYEEgzkt7YhONRuhd99i/syW4l2Ka9Ns/w+TT72MN5XMjGqFQL4ey9BWgtn1lkClk+OzDl2wfNCiVdIolnep2nUy1xNZBk1qzSCQSEV1XUkNLJSXMf9ah0iiRK+VQYhLi14pFUZw50sAHnsd/8G+/K3gRa0b3ssv+nU1wxQ27uirWywX0jB5O7l57a5tMIcOwN8T35YWQY6w5Z+ta17rW9Uo3Z77vs3+rCVqKQXcAZoebd+SJaz6b88Z7+6AIrT5XzhHTYhw9OsFoGThTR2TfSO5sY1dyUSu2k54V2fUqV/SPfv0BqUyKiTlBz+gyxZrL1WexmufqVC75nKkjBPbBBAIRRffaQwmUP3/O8Q8/oHvRJhZTcKwphUoh5GRNJnPiS4RGVBH/5Hg4FiG0MSJfyZMrpIls32c8GDMxJ1Q2KlxeDDBfvuD8/R+ysdeEeIKt7QLzQZ8gCNg6aGKZVmgEuHxyKBO/3oBYPEYqI7YBZ+rw8tkV3c4Idy6uRgLoXnax7TmOafLgkxPMvoljO+EBwMyWKdvMnnF2eMVf/2++T6VRoFYXnRO+z7A7pFLN8ubbWxhtg2F/xNWDx6R0jUhKPJAr3ZW38Dg57mObYyLb9ynVS3QuxQ+54nThC9DX92XNak9sTl5ch7w0dcnj0rM6J0/PMPsmpjnDXbgYbYPjZxdLv6dk6lZZQEVVICDEd7TOO8xGYpvQszqZvM7VaYfetZgBep1RyN8CMUEUa8UQirsSzqtqlOnAJJ6Ih8iNbD5NJBLBntj4tvDr3vvaAdZwRFJPEngeip6BRIqNnSrTyZTA87g66zFpd8LGWUtq7G7nw/W4Glc5eXwsE7PdN+HkMzzP4+abN8gV9HDqlivlSKXi5IoZ4eFVC5y9vObp5yecHbUJ/IDFfMHF0TWXp5LhzBQyzGfyWLBGFrde2yYIxPKwmgQGvjDJxg9+RKFagFGPv/ZrH4WTaDWu0mkNwV0wfPaY5nZFhPBdQbh4Czk++egHz0PfaWOrTEyLEU3nflK/bta1rnWt65WpV7o5i0QiuK5PKieTnERzm5PjPovxGM/1+PT9F5DQZQJxeiHAV03DHYufMeShKVFOnxyTL+do7DZCt+DWXi1cd6ZzaXrXPQnIj63wc1hdua2eoDP5DOVGWbASlTyT4YSZLU2BvrGNWtsilU1z8fwUJSZMLGfqsHAWDLpDBp0B9uUZ+XKeYq3IzJ6RSCUERTB1aF/2CJaTtrkjV5a+56NWmqiNfayxTSKb4ezEQK/XURSF04eHgIiuO+cdcs0GtWYRvZBl1Bt8EXTvG7z21jaWaRFVouzebKJndVLpFJmMhqqnmY8n6DkdPfdFY7Bitk3HgqxAiXH+8pqHv/NjEinJlymqQqdt8uH7L0mkErz25iaZrW36bZGtR6IRypUMnYsOriErSE1PkdST9K57pDKywg2CQC4rD3aZO/MQgpvUkzjdllxE5nT5uMumTV1e+JnGiJ39GrXNLywIq4zTxanI6kt1mXJWGkK1z+QzaOk089mcYXeIbc3Cpm88HAstf3mFumr220+eSS5Ok2yX58maTkkKcNWxHerNgoThdfF3EpOs3Ic/OETTU9hjGy0lhyWYPQ4/eUK+kieRFl1SslRiMhRgcCqd4sMfHdO/7hOJiCs1lhKjhZ7LkHjta8we/pAXD08xugIjnlkzjGtpugddk+5FW4L7MZVgaonRYnlVujJUxLV4uKas7m/j2A7dzpjrU5k4TifTcL3tLlwi2/fpnHfQt/eIJ+L0rnvi9czKi5vizibaxh6HH8hBRapUpHN6STwpRoitgyaD7kDYc9cDzO5gzTlb17rWtS5e8eZMURROD6/Rszp6JiUC9CU81ltIPgx3IROsooAtY1oMrVgMBdTj4Zj/+N/7CrFUiqklvLNsUdhVvh+EF4bpbIpMPkOumAt9kyvC/2g4QUtqTMwJpapcFMYT8TDXFvhBePGYLWYlIF4qUN+uyXTJE2NAOp+GxRy1VMdzPTxP0B/1elqmHEsvIos5034f7DGZbCKccGWXofnZ2JKGcO6i53TyGyIAj8UEpqolNdpXhnxfMjpmR44IoskUrdZE1qnzBaeH14wGIyLRCP2esLWKW3UGnQHz2ZzeVQ+zZ+L7PvlShtxyCrgK/aMt82m2ZOAGnQGBHzDu9Hn84EpUU4DZEcp/p2XiLxZE8xXSuTRqTBUtVjHL1PoCNLyYL+hcduSK1nVJZ6WZiZdrTMwJ16cttnYrOFMHLaFRrBbZ2JHpTLcz5uLwgnQujdGR8PrGbpVSNUe2mOXnvrwtoNqzTpivc+wpUSXKjXtbxOIxMnmxEdy8vxNmCxN6Am+xwOybMJ9y8/42uWIOx5bJz6BnosZVKo0S7tjk6lz0TfbYZnO3ClExIKzsENliNrQeoOfAF77crNMKJearRsX35TBh9e9RJcrBnU2s/gBrMGRrrwZ7b8Pxp/9cNg/PC/OUANoyb6kVCkytKRNzEiIxahtlPM9j86CJltToXHQgAvZYNGj5svz/5EwdzK48tlLpVGhHWPHSVFWhsVFkOpky6AyIaTFixQoE4iZVE8klQDrK9VlHVuq5NLlilupWHc/+4oXRuta1rnX9tNar3Zypkk1JpuJ0r3pYQ8EfRGJxND1JQk9Qu7FDoVqg2hT2WX2zTCweY2SMCIIAe2zzl//mZ5TqJWGF5SXjkkglGJnSXBVrRa7P2uSKGUzDREtqbO2UyBYyodB50u4QXDzl/KgFIOBVZ4HrumSLWZlALf2cq1Xl1Jrx6JMjPGtMQk/QOe9Q3mmGE7O4JteRV5cjiECtJtd1jVt7xHN5kpUqR58+DdegK0G5ns/ieR733tyWIwM/AN+ne92nWC9ijSz+0M/ewmq3xN8YVYhpcq1nLC9EFUXk6DN7xqRrhBOZyXBCrpQLPY+5Ug7cBe3LHsVyVphozgIAVZNDAuxRyOZy7Cm7r+3LRCsuCiq9mA//vVAvo8ZUFFU+p/q2XIP+3M/dFsvA1CFXyoX6pERGp14X7Zbv+xzcFpzI0bOrcDo6GozotIYEfkD3vEWmKNeo7tzF8zzaVwbJZAyzO+Bv/Z2PxT+6WwsxLYwNZvaMF4/OGPaGGOdX+J5Pt21iGiaZQoaFsyBdEIZe8e59zk86GB2DhJ4Qav7jj3HnLhcvziEpaI9MPsPUmnJ+3Gbn1iYxLRauzu2JzTe/vI2W1MiUi2jFMlpSQ82XlxlEeTytPvZivmDvzlYIre11x6AoFBpVFgtp8lcuzkgkIoy+Qk4uUktZND3JsD9iMRfUx3w2J67FKdaKEvSfyOq61zL45jdvQOCjZ3S296sk9STDnome05cNlgYRKNcLbO+VmU6mcg2rKqGEfj6bE7gupWo+NCo4vTbu2GRiTkIDh6IqzOwZW1vC2tMrpZ/Ab5p1rWtd63q16l95rRmJRLaAvw7UgAD4K0EQ/BeRSOQ/A/4joLv8o/9pEAT/aPk+/0fgPwA84H8TBME/Wb7928B/ASjAXwuC4C/+yz52vHojSP3Sf4YaE57Xyhe5utib2aKRWYWJ3bmLPbHZOagzGjnyKr9vCi7BmuH74tsEIfaPB+MwJ5PKpEIP5vZuic9+5yFoCWpbtVCdVN+qMugKpHPhiG3APj+m+fZbWCNbDAGez5/8k+/ym999IRqmJUNtdQHpuV64qtSzOjEtxsSccOv+Nq2rIZ7rMbWmzJ05sXiMxnYVgIujawAy+QxKTELoM3tGpVkhFlcZdIdMzRGJbIbZYEiuUSOeiHNwo8zxsYHRNlhMZ3zjF1/n2dNO+H1Yrc0W80V4fZcpZBgPxqRzaayRFV5TxuMKo6HoiiIRMA1pMsqN8lIRlcZecsKCIGAxncGoh76zT1wT8n2hWmBkjGhuVzg/kstDCZ63RMI+m6PGVd5+e4sP3j+i0ijSvTaEqp9KfKELWnozV+u4XDFDr2UIQX/p+TQ6Rih8X6EkRr0BeiFLoZzj4ru/QfkrP0ckImH7wHHYvrfH1Jaf9wo5MugMuHV/k6PnrZAjt7qa3bu9yXAghoaoEmUyGJEt5fFcDyIwnUzJl/PLx5xcmIJcya7co/bERlGU8IiFQFbUgR+Ef4eW1IhpMYy2QWp5xbtqchRVwfM8MvkMkUgE4/3fIvfezzN3ZAU5GozIlXJyOLI83lBjKu5ccnRm30SNqXJ0s3RuGmcXJEuiDUvoCaaTKaV6KVw1r/yvUSWKoigCyc1nmNkzIpFIOPlzpg7OcEBuoyEf6/yCjfu3qVZ1Oh2L3nWf3NLyYI9tSvUSF//ln1hfa65rXev6qa7fz+TMBf73QRDcA74K/PlIJHJv+d/+r0EQvLX8Z9WY3QP+DHAf+DbwX0UiESUSiSjAfwn8EeAe8D/5PX/P/98KggBnMgkbiVQmRSojcNJxXyTopUqWO/eEkr6CjT5/eMpivgjl0WbfXE5dmjhDk2g0GmbGVk+II2MUhryfP76EWJzaVg2zb4a6m+51XyY+8RiWORb2VK7C1fF1qJ2pblV5/9OrcOWpJTWGra40QMuJU2Wjwu7tTQFvTh0KlQKt6yFGWyY4K5p6EARcnbbpXhvhhM/sDUgtc0w7NzexRhb+cjWlpdO4c5dIIomeFTTFo88vyOXkfQv1Mp98cCwNriNZOKfXxRpZIlK3ZsyduVwTajEyOVn7eZ5H6/AM05jguR6dyx799lCUWCMz/D4by7B+piAB9GgsBvkaelZnPpuHDc1sMOTytEMsHqO2UaR11qK+XaexURDifHdAty8Xtt1rIxTWqzE1dDCOBiNm9oxMPsPcmYdXhUEQUG6UMK7aMOwwG0izSQRpVrLScF48fEbsxlsMe/J1VDYqEPhcnbYlD5bURFO0bLoefXqM1ZOf/9yeUqoKjPX8qEXvSrAYqXQK5jNZv3c6EEB9u4a7cClXs0ytWaigUmMqgR+Q1BMsHAnI/1t/9I3wsb+YLzB7g/Bn0dwqsXAW4dp91WCl82n0nB42v/bEJvfez2N+9F18z2fYG5JKS9OdL+fDC1BZ5ScxOqJWcqYOndNLotEoeiZJPJcPP/b9N7ZIZVKhJSG+vAQuVAvEtTjpfJrdG3Vq9Qxbu2XiCckAZvLycyMSJZPTuXm7DskM16ctXjy9pnvVw7Gn6Lq8sNq5ucG/6sXiuta1rnX9NNS/sjkLguA6CIJPlv8+Bp4AG/+Sd/njwK8FQeAEQXAMHAJfXv5zGATBURAEc+DXln/2X/yx/QC9kGfa75PUkywcwWCY3QFERW3U744wjCkTw2TuzEmlUyiKQjKlySowKqvASCTCo0+PiCZTq69LaO6JOI41lfVfIPJwPauTzOi0T644uN0URlPbQFGUkI6u5zLCuFrMyZVz4ceYTqaMBmPiiTiZnE40GgHPI5kSpII7dyV4bs9F4ROJMBqMGHaHkjlz5kwMk8XMwe1eoWd0pgP52tyFy43X9jA6Etr2lgH11lmLVDqFMxzIRWQ0ymzqMOoPGV9ecnbUonMhlPf5bI7ZN9k9qOLYDrFCibk9JZlOMuoNyBVzS7enytCQdWwkEmH3tX3UuEpST5Ir5wiCIITYOlOHSjVDJp9hZIxQFEUaTC0Gjo3ZN8PMVOAHxLPZcCp1/OyCQqXA7ZtlhkPJfmmpJEfPr5nP5uH1ZSQaYdgbEolEKNeL3LwrD8H5bM7WXh3f9zl/8JTpZMp4OCGu65CrouVzmH2TSCSC53rsHNQp1UuouYL8PJaTsM5ZCyWl09ypYY3FU5nUk+SKGfG0FrNoefmcmwebaJoq9omFC4t5CF8tbm8y6AxCPEfnoku5Jt+vQbsfTqkSqQRWr0/3qicvNoZj/tbf/gAsudpdQWJXebHLsx4Tc8LmTgnP84hGo6HFggBsc8xiIgcbc2cerjjz5TyVeh5vPmcynIQomelkytmjl3LoMHe4+doO6ZJMLrvXfeb2FLwFs7HFB999EGYzVyqw1eNo9bZed8LR8xYXp31icZVoNMpwmVfU8jnGQ4sff/BSnKtLA0KmkEHTk/i+NGSdKwOzZ/6rfiWta13rWte/8fWvlTmLRCK7wNvAj5Zv+guRSOTzSCTyq5FIpLB82wZw/nve7WL5tn/R2/+F5fs+Vq9PaXcLz/OwJzadiw65coHKRiV8cmxfyapKz+rYYxvP8zC6MjGYTqbMxpZIwmtF9KxOtVkiqkQZd/qk0iluv7nPzJ6RK+WYPv04FKcns2n6fZvxZz8IAZ3j4Zj2eRvPE1VPdX8b88nnZPKST/Ncj0nXQI2ptC+6mP0R+Y060WiExk6NYl1yXJ2nz0Uy7sxxLGlK7NGEUr1EppRHz2dIbe4ys2fUDrZCldHhw2M816NULzHoyVUqgaic9GqFqTWlulklmUoQVVUyGxuhAzKeiEtGyrK4vjJxbZvmTg1NT2E8/DGZUh5z+bnbE5ubt+v8z/7Em/iez8mTU7keHFv0r/vYp4cyjdvawPd8Dp9cMB6OQ0elltRQVZXmnQMca0oqk5LMXFwNobrJdJJcSRAov/PdJ5j9EW+9t0eulAv5WEEQ4LouOwcNgiBgNBiTyyV48Ovf4Ss/cwdrZHH87ELo/rs7svKd2OQrcg3rnL9k9+aGBOOjUVpXA/on5yT1JMl0kmK9LA2LqhIEAWfPz9GW16fDJ5/TaxlMJ1OGrW4IJrZGNr2uiMq98ZBMtSSHI8YoXJHPTp9j9k2yxSxXZ11KpZSw53I6+VIWRVG48fbtME+WyWfYONhk5617DNv90Ok5e/GZTC9DzZigYabWFC2lUWqUyOZTVHca5JvV8JpyMV9Q/Oq3MN7/LVoXff74//hLko8sCPettlVDTQvrTk0kefHoFGtkMXr0sUzy9BRaOk22XKC0KQ1tJp+RpjoaodIskS/n5cXN1MGe2MQTcVzXxXU9zOWLpUxBmvZMXpdc5VaNndduyON5MsW5OmPYFz+qvODw/nV+Ja1rXeta17+R9fs2BEQikTTw28D/OQiC/z4SidSAHpJD+8+BRhAE/34kEvm/A+8HQfDfLN/vvwb+8fKv+XYQBP/h8u1/FvhKEAR/4f/n4/w54M8BKJnKu/k/9ZfIFWUldO+1Bu9/71l47bVCTSzmsqK0RhZqTBXhdABG26CyUWE0GJFKp/B9Xw4F/AAtpbG9X+fFw1NYzNHLBSGWK1HhfFlT6rtNaQZLMhnzPI9hdxgSzQFiWozAD75Y+STicmxgjPjaN2/hLDw++dFL4ok49timWCsyGUr2yhrJ1eXBnU2Mvlx7mn0Tz/PwXJmO5Ct5IpEIGxtZXr7ohOHr/mWHXKXIbDojqUtT6C5c0QAtm6GZNZNc2kaFuTOnuVHg4ccvQzm353osbJtkTi4HNS2Gbc3ot/rky3mBq26LsmcxXyxXhmV8z2diTkKLQK4kwfNiNc/F0RWVZoXFfEGtkefqXMC6uVKO1+9W+P73X4RYklg8hjMTHl2ulOPgZpXTEzlOiCpR9vYKPH5wFeaXfubr+/zWd54y64sCypk6ZItZZtYM8/KK6o09TMMkFo8J0b6YJaVrWJNZaEQAkd0HQYDv+7JOu7XJ5XELPacT+MFSBJ5gc6dCp2WG6/JVIxLT5KAitVyxrhpfz/VCB2W1WWJqz+WFwnUPbXnVGwRB2HRmi1m0RFzygpMp+3e3sCxBelSaJbrXffSMHjY/WlKTS+OeSRAEbB80aF8Z5IoZBl3RkuVLWa7P2gLtredpXfSxPvud0CSwsl4Me4I4uf/GBi+ed0OkzGpSqsZUYvEYRscIGXVG2wDfIxoTNmAynSQeV7l/q8z3f/cQLaFx516dRw8ucRcuuWKWubMgm0syncrj7eatMk8et8gXdIrFFA8+OQlxNe7CJaEnaP/VP73OnK1rXev6qa7f1+QsEonEgL8N/LdBEPz3AEEQtIMg8IIg8IG/iqwtAS6Brd/z7pvLt/2L3v7PVRAEfyUIgveCIHgvEhfRdj6fxJ7YPPz8Uhybvh8CQFeMqVFfmq5VtiumxcJf+iuZc+AHsm4sZCAA05QmBm8RcpzK5bSwzDaq9K575Eqy5ht0BqGLcaWkKdVLJFIJNnZr4uu8t4We0cNw9UcfHPP08TWLiUXgByiKwni58rRGFvFEnMXMwTAs5s5cDgyefMT+raZc1I1GOLYj1PWuHV45AqRyGVzXxff88OtbHU5UmyVu3qpCRFhfKyH34dNLdm9vki1kBMOR1YnE4iycBZ3Ta65OWhRL6ZAhFovHGBrjkIXlTiYMOgOaG1k5ijh+SOAHklWbzRkPLbm+dOR7nU5Ldi4SldXtd7/zlGm/H3Lloko0hPQ2Nws8e3zFyBjJitD1ePjZRRicX8wX/LPvPpOvP57AXciV7LA7RIkpvPetd+ToYUmtb2xXmVpTLo6uw4Y3psXCVXepXhIWV71IvyMrZfP0VMLsns9kOMHoS6NlmULg91xP9EoJjc3daticzuxZ2MCtprmtc8nyqaoqHLZAMm+L6YxkOhm6Ta+OLvFc4aEN+hPJAXZbjAYTvIUcFYDgUVYsttWK+OzltTSMswWWOWZsmHSu5DFrjSxePjzmF//Q7dAkUKmLvN73fKqbVYIg4PmzDuPhmP1bDVFT1SSH2dgo0LnshFO4uSPqs0K9jD+bsbUrE8fudZ/f/eERji3HNx/98JC9A+HMvXG3SqWa4egHH9C56GD2TX73H3+EcXpBvzvCNGc4kwlqXB63i/ki9K2ua13rWtdPc/1+rjUjwP8TMIIg+N/+nrc3giC4Xv77/w6Zgv2ZSCRyH/gbSLPWBH4LuIk8zTwHvoU0ZR8C/9MgCB79iz62VrsZlP/U/0UQD+ZEGFSFJcMpAOPlS+LlWijGnpgT5s6cxk6D7mUX13FIZmV1IwqeEdWNKts7BT7+4XMCxyFVzIeqHS2hhdeSq9Xe3Tf3ODvuyFRhGeZewTgL1QITcxIyzIIgYDwYh65DdzIinssTiUZCifvqKjSdSzOdTMkWsxhnF1T2dxgZI/ZuNbk8Ey5YtpglFouKbHr5cYu1ooTFL64gqqCXS+LztCfEcnkWV8ekdm9hD02SuWyodXIXbuidHBkjmrt19nYLfPLhCVpKwzItEikBqk4n0/C6L5lOYl610Sul0LoQiUTIFrMkUgl61z1pMp0Ftc0KU9tBTyeIRODiuLVUam1yddZBS2jcutvg8efn2KMJSky4W+7ClUmfPcOxHaHOQ5hnIvCp7TTotySQ7y08okqUjd0arYse07GFGo+Tr+QZ9obh42E13UykEmHDF3heuMKMJ+I4tkOxVsQ4OYVUht1bm7Qv+3JNm9PJ5lJ0W4MvnKaFLEbbYOuggaJE6XUEvdJv9XGdOansF8cLuWKG8wdPKR/s0Tu9YuvuHrY1CzNwqxxcPCFoCyAUv1tji+Zug9nUoVrL8ezBSXgYMbPl6ODOa5t89uFLClVpcDUtxrAvhy35sgCSXVdW9JV6gZNf//to976KGhNnaKVZCa+Iy7W8+F6veqE5IFuQJjwIgjCvlkglqDSK3LtZ5re/9xw9qzMxJ7gLl3ROJrLjVpt0rcrMnoXA2nK9SOeqhzOxKW1U0RJxrp4cUtwRo0SulAsnxoP/17+7npyta13r+qku9ffxZ74B/FngQSQS+fHybf8pcm35FrLWPAH+VwBBEDyKRCL/H+Axcun554Mg8AAikchfAP4JgtL41X9ZYwbISqhtUNuqEQwDFFWhe9ml3CzTOe+QrDfZ2KlSLCZ5/OCCbDFLv9VnZIxwHYf0Mtzev+6H1PJhbxhOBOq3NpnNxPN4ddoRyTcSMn/t7R2eP7nGdf0Q1KklNbSlYH1uWWRyss5SVUWAtjOHRCrBYr6g2ixhGjqFcoaL4xZqUtattWaRyxM3XC+5C5eNuzfIZqUxnEwcStUc49GU69PrcAW2dbCBqcgxQqGoU6nlMfpjht2hyLGjUbSkRvru6+wdlDk5Fv7WzJInyERKY+4swhyUNZ7y6ccj9KwuzW5EkArJdBLP8xgPx+Jo1JNYulwiBn5AIpVg2BviTB1u3pZr1v2bdc5P+0QiMLWmDHtDCpUCxVqRaDSK48gTd7/V5/C5KJQO7u/Sa5soMSUMmbtzF4wrBoHPnbcOMLRYOElxF26Y+wMoN0pcnrTZPmhwedrBmTqChzAH9JFHpe/7JNNJJuYklMav/KP9Vl+uZy+fEm1+k83XbjMZ2biuz9ZejYEhAf/TFzLctYZj3v3GHV48bZEpZDg7vKLcLANyWanGVOJaPERoxBNxjO6Qd37hHXo9m5tv3+Tlk/PQhDC1pmzsNdH1ON22KRPQIAjdoUTAWuJSzqwZiqKEoF53IWqrx5+dcXB3m7OX1zI1TYjuSlHEjLBqsKbWFNv+4kiAe1+F9jGRzSrWyJLcpusxNQY0bu1RKqUYDqcEAdiTKZlciv7ZNdv39hibNkbX5HttofmvJsBTa4rv+8zsGdFUOmzWYvEY6UyC85fXbN9oYA6FDzizZpT2ttneKYotIiVO22KtyOD38UtpXeta17r+Ta7fd+bsJ1Fa7WYQffd/TfXGHtbYQlFkpSevxAsYXZPb95pMJnOOn1/J1dvxIYw65N75JoqikMmlOP3ed4nt3AUQ52BRQs2BH7C5leP0RNZho/6QZEYPlUpqTA1XVZFoJMx2ea5AP3vXPfLlPIPzS5KlEnEtLvm25XTs3a/d4sGnJyiKNCD5Sj6c6Ozf2aTXHWG8eIG+IdT60ekxqeYWkaigLtK5dKgPIgDTMMH30fSkiMiVKMlkjJcPXqIm5XMr1orcul3l80/PUFUBv8KSzh5XQwZZqV4KryETqQSDdh8Wc7SchPFXF4vpXDpkaE2tqUy3DINEqRSy2lZ5NGtk8ZWfucOPPzrGsabceG0Pz/O5Pu+SKwm81hrLqs8aW2zuN4lEIkxGgkHxfZ+kLiu/L727xYMnHQCuXl6weXOLi+/8E9Qbb1NpVjD7pmAtZnOcyYRcrYzZMUgXc+IDffQ+lLYgWxJ9VCTCbDojGhWnqXN5TO2ttzH7JqVakdnUwWgbIS9v66DB5UmbbDErmJXuNVqtKdeNvs+ka3DrnVtEoxEOH58LHmU3zycfHBHX4oz7Q6KxGBt7DYzOkISeCLOG0WgEezIlGo1SrefodkahiaG2VcOZObIOjSl0r3oC+o3AeDCmuV3h7OU10WiUXDlHqaTz9PMTgqmFVhC0xYqHFl027FpS1FOrXKLz+H1Sb3wDezRh6+YW549egBqD3jn1L39dmG9+QDKdRFGU8Pu2sVPF6I0xWj3ShSyTwQhVi1NulFHVKKYxZu7M+SO/fJ+PHrSY2sIa1JJauFpfxRBWIFw1rqIltLDpnDvzdeZsXeta1099vdKGgCAIKO/vYBoSyo4qUZyZhKOvTtpEIhFOjvsMh9OwIUIvUHjvZzEf/xizbzIaWui33ySVTnFwZxMtoTHoDuhcdEim4jx9eLnEX4zIV4s4U4dgaongOZAM263XtnFnTii5rjRL9Ft9QWkAqXKZIAhI6AnimiAzAs/j+KhHLC6rOz2r0zu9YjwcywpvtsBbeOT29sNV7dbbbwi7KpcO4bS+J0cMuwcVknoSPZchqSdpH18wmzp0rgfohTyuZaNndRRF4dnTNtFolNFgFPLSssUsakxl95Z8D9y5G4bc7bFNdauOXhHIqNHq4S288GjBGoywx7Zk7sp5arf2iUajEmhPauzsVwn8gNffPeDJwyucqUOxUWY6XWAO5UhjPBjLWiyZkLWcojC1HazJNPRnxuIxBs8e40wdnh8ZWGObq+Nrtm5t077o8o3/xb9DdaMSPokXylmyxSwHrx+gJTSS2TSTtrDNogfvoJZqNHYa4UQnnUuHPyfyNRQlyuzxB0xGFsOurEOTehIlpjDoj5lPBbbquR7FmzdxzHGo6YpoGkdPLzh92SKmxRgPx3z64XHIc/v2/+gd8uU8ncuefP9zgjppnVyxmLsMzy+xJzZHzy5Dm0WpXmLYE9OB2Te5OroUB6br0r3sEtfidK6FJReJRpYCd5ZT4H0SqUR4aaxndQDyZVn1JnRZ7TqnT6Ux+/x3iSU0WUNXKsR1HWXjJjdvlFAUEac7U4diRR43ST3J4aNT7Ikdrm6L9TJ6Rsf3fJSlwaJQKfDd3z3i4ugKs29SaxZRVCW0BFQa8iJmdbmrqipGq0cuJzDo1Quwda1rXev6aa5XujnzXA9n6nDr3qawszQRUGsJjVuvbQt/Krc8AIjH5Aw/Fmdw3UFp3iChi95nPptjT2yOn1/J1aXrEYlEOH12RqVRJJlOomd0tnZKwuYCtISGGlMFX/HkglgyIZkyw6R11gkl2Ek9gd038FyPra186NbEdTH7JpOu0O3HwzHFzTrVjSrJdJL53GNmyxVh60SmfueHl9hjm0IhhZbQhG6/JOA/+vSEzd1qSGcvNmvhmvH1t7chJkcGq4vV8UAUUubFBfPZPFz3Gt1RGPAHCZpHFWnkVvytdCGL7/shX4xIBGfmkClkQl3UYr4QBU9a4/mjc6bWlOPDtsB43QWT4YTJyJKLzKVT0l24mFfXqHEVz5lhLf/7dCma3z2oou/eYGOnQufKYHu3DL7H+eElUSXKD777BKMzYDyUI4V+e0gyFcfoSdM0ffwB1YNdqgfb4Zp05df8D//Me5h9k9lwJJebgU+hkCT95tcFyLoU36/ygfPZnOpWfelg9ZlZM7RsJmz0Einxi65cl+7CDTl87sLlB+8fyzp6v45tjpmMZ0SSOmo8zqAzoLS3LRePS1CxN58zGozkZ2GMhA+WSjIZilc1nohjGsJIc525wIDPWxiGFa577bEdsvRK1Tz+1KZ71ZXV5mRKpVmh+u5XsEcTYne+zOLpBySScayxRbFWxJvP+f5vfC7uVdsmU8hQKqWwHn2I0epJ86QqYf4xk0tRqkqu8eLomlGrE67hVVXW+GcvrzHaBvlSjvlsTutc8purP2P2BuB7mOYMo22Ea+t1rWtd6/pprld6rRmrHATqN/4TlHicXFkk01pSw+gYcPaIyld/PsQhzKYzEskEpWqWoWHJJKwslPNV6DyTT9O56KLGVWajMWpSwspf/dm7HB8b+J5Pv9UnmU5CgFwzLleMgOSARhaJpEwhotEoST3J1m6ZwWBK57Ibhru39ut4XsCgN2J0dc3tL9/n+sLA8zys62vixXJ4CRcEARs7VQ4/P2Tz1g6D3nJSuPz7nZkTTjM8V9ZCr721zXTq8vDjl+QrefYOKhw+a1EoZ+lc9WVClEpgmRa7tzbotgXguppagVxyrnRYOwc1VDXK2XEP89HH5O6/i+d5xLU4zc0Cx4ctrN4A4nEy+QxjwyRXKWCZFkpMIZOXxm33ZpOTF1eh+klRRfh9/+09HMfjdJmPypdy2Est0aAzIJlO4kwdGltljv7R/4D+5jcJgoBcKcegO6BQKeBMHSLRSNh4rvRYkahogl5/e4cPf/MT8lsbuAuXSr1AoZDg4lzAps7UodYsEAQBL5+co8bUUDYfiUbQEhr1Zp6Xzy4p1Ypcncj6sLZVo9/qh6YDZ+YIGT+XFkuCs0CJKRQqYjiwRha7NxoYhsV4MA4vLVcapFg8RjqnM+gOQwVSIpXgndcb/OO/9X3SjQaKomB2DSKqGjbNKwn5yiwxHZhkqiUWc7k2DvxAmizXw+jIVWkqk+LOvTrPn3WWjDYrPNxIJONc/OY/ZPfbf4xuaxC6SLOFrDTOWgx7bJMr5ZjZs3AKN+12KOxsEwQBlVqO4+eX4WM5Fo/9c+83GU5CI0IilWA0GIU6qmQ6ycyahd/7VDrBeGjR/mvrtea61rWun+56pSdn0WiUWDJBuVnGXDYs7sKludvgK//un2I0WAq3q1myhSzxRJyjH32KcfgCdzoNL/IiUeERWGObVCZFtVmiurshmZ/NKu9/5yHjwRjP9VBUcRy6rksyFWfYlfC7nhFOVVyLo6U03KmsUs1nD3j4wVO6VzJZSKVTLCYWrYs+45FNJp8mt9Gk0zJJ53TcuUu62SSdSzObzsIpVrc9hMkAozOkWMlT26wyHw7IlzKyPkx9kcvxfZ+XL7qkUjEB51pTjl50sMc212ed8Ml75a08P2qxsSUZsWg0ChGIRCMc3KpJgFuJcvTsigf/4J8QT8TJv/5e6Ey0llMte2yTqZZo7DQYn52weWNTDA5ZfZmPUjm4s8nAsFhcnzKfzSnVS0xPnpFIJbi6HFIsJkmkEqTSKezJlEgkQqOR4b/+P3wrvFpcLHw2f/FXhLZfzWNPbCoNub40rtqk9ESIIsnkM6RzOiNjxP6tJh/+7jPufvU1FFVhMhhx/PkLHn56SqGYwpk5mK0uL5+cs1h4+BNp2Fa8M9/zMZ485OJUVtH+8mfd3K1jdAyB2pYzYX7LmTos5gtu398QDdhcpqOJpEa+nOfpj19SKEjjt3AWJNNJkqlEeJhiT6YUKnmaW7LmGw/G/PCDE3Kb8n31fZ8br+/T3G3wjZ+9TVSJomclD5kvpuWFg6ZRKGfDS0/P80KfbDQaxZlMGA/GvHjeDbl07sLl/NELppMpF0dX7H77j8kVZ1KTFwp+wMyesblXI5FKoCW18GhgZs8o14uw/P/K7JvYtuBE5s6cTF4wHePBOES4bOxUsEYWQSCr2pUZYAVsrm8KjmZmz+i1DNT47+dGaV3rWte6/s2uV7o5cxcui+mMfD6Joio0d2vLqcCAJw+vuHFnAz2dIJGQXFUQBCSbW5DIcP9Lt4WnlU1hnJyH2Rdn5mAaEwBypRwjY0SuWmRmz7DGcnmWK4qmp30pay6r10dVl5macpbOWYvihgjRi6+9RXGjFh4Q5Asp8s0qCT1BMpWge9WjUs8TVURnc+/NbfSsTjYvxPxSvSRZKD8gXtukvlmi3x4w7Jmo2RydK8E6LJwFyZRGpVlmc/l9eProCiWmEPhByO9aoTNWkwx7bKPGVY5fXEtTYI6Zz+ZU6gUsa0GmkCFbyEiebvN2+AS+gq1Go1FOjzqkc2n5u+MKWrXJoGsytaYh0T2RULm+MBj2hsQaO6GvsfjaW6RzadKZJIcvupQqsjKdmOLpPHrR4T/+Kz8KrwyvTloMuibFagGjMwxdnsVyhmhcI7Jkt73+3oHomHbycrn40TOqG1VODlsy6ZzPqO7LdGc6XYgWaDl97LWHEJeM02Q4IZVOibv07muMeoNlblDk5qYhMvvuZZfTF1d4rmTxEnqCiTmh17PDS9JoNMqwb9K76qFqcTotM3xxMJ1MaZ21mc8ETGuNLFzXY7HwSGeEK5dIJcKrx0gkwssnZ1wenvPyeMDMmqHGVKobFTmwyKdI59LE47I+VFSF7RsbId/P93xuvnkD13WxxzY3725SruUF0KzGWMwX1LfrdFsDil/7FsYPfwvf7JNZPhZePj4jkYwL2LYsOil34TLomeiNBjNrRqFS4Pq0RVJPcuPOBp7n4bou+XI+nPyeHl6jZ/XQwaln5QVKIqlhXnfptoahrzaVSYX4k3Wta13r+mmuV7o505Jx6J1hmjNi8RijoUUkGqFYLTAejhmPHRqNDJdn/TBQPu20wWxx9PyaIAiYz10wLjh+doHnemhLX+FkKM3B/7e9Pw2SZU/P+7BfVmWtWZVZ+9LVe5/tnnP3be6dHZjhYAa0REmGYIhQiDYRoZBERdgfFApKsh1ihOWwFJYZYoQkSjZpi7RkAIZEkUEAIkDMDGYw693v2U/vS3Xte2VVZVVlpT+8VXkvEMAMIHPu7cHNJ6Lj9Knu0/0/eep0vvW+7/N7Vt2ocDSMNbJwFg71uxKZ4/P5+Kv/8ksw7pNIhEln40wmMxS/n06948Jp59M5/XZffr8cZfVbfYY9E5/fx8VJjbVSAntuc3LUxDAi9DqSg1jZPxUIaTTMtFHh5EmZSEz2kFZ0+PEy3smyZgx7Jv2eBFJPrSlP35GF9065xnw6d6Gv8aQAfJO5JPPp3M3+BFAUBU0LcnZUZX0jQf2iAc0zl3HmV4UIX1yTkO1Bu8crr2wTDAcpH1exRmPMTpfrtzdwHAfN0Cif1Oi1exhpg+xahulk6hY/sXiI6nmDbqPL0Vv36Tak6IoZGoVSkla1hbV09sWTcUbDEaOhFH4rhla90mHRrtJuyN7VP/fKOgBvfGdf9tz8ARqXDTdbktY59XKd2cSiWe2QW88RSxnEE3F5ctWOMNIGi8UC27ZRfIospucE7TBZdml9Pp8U/rUTSXC4uHAREvFknIuDC/earTpwtm0L5DceQU/p3Ly9hqZrklBxcUEgGJBdP5+P6dSmXhGX6MqBOm423ZEr4wGDnslXv3KH9uk587mNNRhSPq2Lq9acEgwH0ZM6w8HYHQVjz6hctOR6TKbsP7jAth3G7Q40z7HnNtXjspv1SnYbGifu35eFzWg4wVk4bpJFoSQvcIrrGUbDEebAdHfMplNxMVsjyy0243rYfdFiTcSlHI7K7uZ4ucM3aPeon1UJhoMs7IUbmu7JkydPn2Rd6eJsYo7JvfQpauc1KTZMeVXdbcpN7OygzMlJB3/AT6tcp3Zeg6iOWtwlFAkRjUUZ9oZot17ESBvMp3PXOQbQaXRY2AuK6xmi8Sgvvn6d0eF9QqVtklnZTfp//6O7AJyetDh4cEb9oi7ctblEAOU38vRPjkCRTl86I9DblbNUDai89ulrHD6uEIlFGA1GHD48p3N6RiKTwBeWDow1sVCMDOlCmu2dtABYrSnXbm+yuZMjmY7z7J0Co+GIxsER9twmkUnwzttnLOwFkaRBaXdNvtbYYmbNsPrLLtlamrWNNGNzTCIvCI3BwGJSE47a3LIgnsFIGySyCQYdSV84fFxxcye//jt3aS5Ht8znMDEpn7XI5JMuguLabQHp1ssN1ncL3LqVY30nz9EP3iGWiHHzmU38ehJ7PObZl3cZ9k0e3z1BVaUQWdvMoAZkRDqbzrC6PZjPSOaSTEYTArkS4+EYLRbm//y//68AGc8yn1HYKuAsJBpJ0zVyr36O7JqQ6lO5hOt87Ta7DHtDPvVLf4lhb0immHHxJuGYRF6t0iLGzSa9dk/MIaU9MaCUSgw6A+kk+v0wHroO4vFQul6JTALsGa1ah9l0xjs/OJDRnm0TymSZjCbEE3HatTYXj04weya9toBpI7EIiY0S/XYfPanDQvb+fut/ukt6Z5N2rY0/FCYaj2KNLeoXsoTfKDeIarKXNp/PyWwUpdAqPyGshSluZqlfNine2KHw6qf59BduATIKVRSFxM6Om8UZ0SJsP7XFYrGQLFZLHKinBxUAKhdN7LlNtph24cH7908prCXJrGW4PJX9tsMHZ/zFL990d8qGvaH7/OzUZIcvEA4RCIfod/o899w63Vrro/wR48mTJ09XUlfaEOBPbTvBz//7BCJhZhMLfD53KTuejBPVwvj9Pi6OZGS36rx0m10Ym2R2t0ilYxw9uiCejPOZT23z+39w4C5y23ObcX9IPC0FiaZr7u6MGlSpH13AYg7hqBshFAqH6L/zB2jPvu5S/1f7Uqtdr9loROn6FpXTKgt7QSIrxUFpu0D5uIrP7yNmxGjffxdSJVJFwUP0mx3CcY1AMEBEi9CqtrBtW773khEV0SISo5OKcfjOI7aeucHp4zOSeVkMH3aHoEA0FpUx5LIj0Wl0XIRBIpugdi75i0baoN+RmKgV0mMVSRTRInQvLkltrdOutmE6oXB9m3at7Xb7ssWkAHyXmaadswtCqZTrWozGoy74td/uk8olaDdkr65yViORSTAZTUjnEpzuS4C5oigMu5JOMDZlgX7l9vT7/WiGJkaPUFCchVMJJFcDquAZAioTc+I6C52F4DMmo4m4YXNJek2B8S4WsiOVzCUZdITTtYrJ8vv95NZS9DomvVaPeCLu8u4mIyniVl/P5/fRroq7dWUACIQCqKpksk5GE/cc89ncTQcIR6X4iRkxdCOKOZRO6Xgo3dGxKS7LVRJFICS5oYuFjLpX38txHEKREJ/97DXefPsCLR6hURHQbjQedbNUb9zZ4NHdU/x+eZGyuv7W2JK1AC2C+d4fkPzUz9JpdNCW3L/V9YnGo8ymM4KhoIsnaVw2XKxKp94hokVcQ0q32XXzQP0Bv+tOXe22be1meXT3jGQ2iW3bLOwFlf/qf+kZAjx58vSJ1pXunPlVlXBcw57baMtxlKLIza9dadJt9SmfVAFBQqywBmpA5dNfe4V+u8/+/VNQhOL+e994JNT80YRhS7pmvkDApfWbvQERLUKn0ZHiIGkQL8g+2Xg4xur2pNi4KfeN6WTqMsxWodezfg8lEKT88MDllS3sBes7BaZTm2g86t4syWyyeXOTfrtPIh1HUVVya4Lz6DQ67rhqMppg9QfM+z3mszntapuLkxrMpygKoAiTarh/n2wp64Zy23Ob1tGJW5gVNrKgQLfZJbuWlSzP4YhoLEpuXQqAdE4crqvuFSH5OqFoCC2bptfqfTByU+B0X0KuFZ9C5+iI/I1dSls5xuVTZuOJy+waDSUbdDqdMzEnnN995FLv/X4/p/eP2Lq+jjWy6Lf7oEC/3XdBwNF4FIDSdo6FvaCwnqFXb2KNJXszlohhlY8FwhqUke90MmXY6gjId4lhSRfSMoIe9t1/Z8AdTcaMGLlSFhx5ro1GgmGJaBFQcAu8XqtHOiedxl6rR/287u5EziwpGKOxKKXNtBtrtBqdB4IBihtZZtaMT7++K4kFJ+dcntaplyXcPpFNAGCkJCcznU8SDAfl7Ms9P3smDLa5OSRdSDMajPid33qX9tkFtYsGk4HpdiJ3rheZTWdC/l8aDhZTC7NvUtzISG7obEa2mJTC7Adfx0gZ8n06dTr1DopPQfEpvPrqDneeLjJqtd1Rcq/Vo35aIRqPuuaDdq3NrNclFo+wvluQ6zkYyVjbtulfVrj75iGarjEajuQMS0SNJ0+ePH2SdaU7Z77ktlP8pb/JoDtwu10Le7GEsWqYfVNSAToD14WoBlSmkym7N0vs3z/D5/ORLsoNeTwcs3Nrg2aty2gwku6FbZMupNFiYXqdobzST+r0O32Yz9h9epfaZRtrZDGfTomnDAbtHlFdyPnOwiGRTVA/PCOezxKNR2lVWjz3yi7HR022ttOEQiqKAj/49mO3mzWfzrEaVaLFknR/JhZ6OkH/skI0m5X9nXYTX0yI/WNT8i7HQ9kr8vl8RONiKkimojy+e+J2LKLxqERRKVA/r5MupunUOyxGQ9ZvX2M2E1L8dDJl0O6RzKddflpxK08g4GM4sDAHwiHrNrusbRfptfrM54JsmFpTtwgctLqUrm0Qj4eoXLTdJILVzVgzNKyRRSQWIRqPUju+4M4rNxkOp8xmNt1mD8Unu1HRmBR9q6LJr/oJhAJsbOdkBLqMSUJZojHWc9TO6xgZg0g0RLPadvfKeq2e69T1+XzCUzN7xNY38PnE4DE2xy44dj6bky6mmU8Fcmv2TbKlLO1qm8xahupxGX8w6HaYfH6f27VLZBICSzbHBCNht8OUzBi0692lQ1OSEJJZ6UItFgvShTSNkzJaJuny1oa9IcFQ0C1UYomYOzKdjSdoSZ3ieobTg0viyThm38QaWaAgUNjFQhbr7RmhWAwjbVAv1zFSBjFDo9fuu13mVWZsOBJkNJywWMjo10gZ9N78JvEXP0+hlKLdGsoLlLHl4jrc/3/dAc7CcUPVY4kY8XiYRrXrvrBQo1EisQiDWkPSCPx+SjtrlB8doWUlxaFdb+P3+2n/vb/sdc48efL0idaV7pwpikIyLS7BW7cL5NdzLverU++4S+SzqYx3VoVZOBqmUeuze2sDgE69I7tSChzfP2LQHfDS69dZLBZEY1EZR1pLVEAxgxpU2b21QWotz6A/caNsjGxSlrmjEabWlF/5xZfdCCQtmyaR1iW7Mq1z923Zpep0xjy4W+bios+125su00ozNNSU7ETNrBnFnRKZvEEoJSkFm3sForm8jJOabRk39QVrMRlNKG3Jn+21ei72YTwwJV7IXjCfz+k1e9x+YZf5dE48ESexvkan2aN+UWdiSiyVnk7Qb/ddGO90OufsQMChWlxzO0CXJxU3cD4Si7hdqEF3QNSIk0pFOH5yydgcy85WfyguvXCQYCiIZkhA9rA7JKzHubzoYA4n1MsNRo2G3NwTcem8dIfEDHH26SkBqFbKbfSk0OoL6+klld5Pt9kjVUjJUro1BwSPsYrRUhSFmBFj53qR5z51g9j6Bgt7wWg4YjKe8NpnrrO2U0QNShj6bJk/as8lsqp5KYT/brNLKBYlXUiTLWVJ5RISCr5wUAMqcT2MFte4/swOyVyS0WCENbKonNbcz/X7BbUyGQnba8UuCxnikMS23UzKnRtrcn6fQrfRZffmGvbc5sXP3GI0GGGaU/LrWfqtPns3S2RLWbS4xuZuzmWqofhcLmA8ERf+2FA6les7BXb3svK1+iadZs/FqmhxTbiAL36ewdvfQlUFjJtbSxEICex5ak2JxCIsFguMtMEXvvz0H4LxVi6a0i3UwmS3Szz94jaKorBxe4/dO9vEjBjdVg9Vi2GkdConFazhyN0H9eTJk6dPsq50cebz+ahdtnEWDm98d19+mAdUorEom3tFtq6vCX8rEZdX6Eu35XQyxRyYnB+JCyxdEE5WOBpm7domiqLw3pvHUsQso4C6zS6vvrYnPK2TczIZAdCuMAmrPaD26bnbufov/953yZaydBsCePX7FRdqOu20sCYWp/tl7LnN5UmVr726zu1nN2Ucutz/ms/msLCxbZvqhbgWn3lph/lcRq0Tc0KymGPYG7oZhclskkatR68lrK5uZ3lT6zUIhAKUNlK0LxtE41Ee/NY/YWyO6bV7DLtDMvkkiUzCjQCKGRrJXJLWsruzKhzm87lkaZqyj5TICA7EGo3JFRKSBdrp89RzO4LEeFKluJnF55c9vGBUzA+rxfWJKVR9s28y6XTpVGR8l1/PoURj+Pw+NwZpxXWLxCJCy5+LkWM+n5PMJqhXJBp7NSJ2Fg72zKb+3d9j76bkdToLx+2KjYdjjp5c8uC9UylKl67KbDHNw0d1WtW223Xst/sYGQOf30c8IcHd9ngsPLeASrvepnZa4fKkKiy5pbuw1ZCg8f17p67rMhQJ8dLr17k4uPggxWJus1gspGtlTUnnE1i9AfPxmIgeo7CeYWJOaNT6bpRXbj3H5XkbNaByetLGmQtTrVFpUdjM0etNaFVboECjPiCshXn2xW1wFm5RuGKNxY0ok/GEeqXNm7/2DzDShqwNxDUURQC/k9EEs3xGoZTiqX/xX+LhP/gfmI0nnB9WKG5k3RcA+WKCaCyK4zi8/dYpvQfvUtjIUtpISndb1xh2hzQrTY7269hzm2a1TaPaxUjpqKrK3LK4PLzgy199llAsyq1nNj+uHzeePHnydGV0pYuzFQ8rFJEoI0Cif2ybw3vHTCZz9KTuFi2BUIBYIkYwHCQai6IZGqN2l8ViwfXbG1hji26zJ7iBjCFOuGW2pKIoHBy15RsrChcXPRlvLaOfNveKBEIBggnZ/ZmOxi7+wOf3EQwHJY9xIrtOhGVpPRqPMp/LYvz/6x/e5fS4tQS8Cu0/u5aB+bJbY9vgLKjVTM6PKnTqHcyB6ZL2J6MJalDF7AvCYGO3wPXb60K4VxTQkoQjQVqtEdg2Y3NM4bXP4fP7CIVD+AN+hoOx5Hju5Ja7QXM69Q4za8agM6DX6rkMrPFw7Aa9rwLJC9trXJ43WSwW7FwvMhzK3p1f9TMaTd3cTkUR5trKdbq5V8Ce27ITqMVgIVw6WGao5hMkk1GG7R6DzoBuo8vCXjAdTwiEQy5p3+/3ydhv+e+2uyd5lJPRBNZvc/+tAxpHpywWC5LZpLuPtraZJRgOupiLxXxO47JFp9ERI8SyeEoX0vRbfWHLrXhvMU3GwvaCQDCAZsSxZzNUVWXQ7skeVa3FsDckVZDO5/p2DoD7750T1WNyviX8d2Ev6DV7RGNR+l2TYDyGGhaTQac5QA2qdJtd+m3JNO02u/IioteV6CmfdOCmkynD/ohhzySiRUgsx97j4ZgHdy8IRKNyXl1zO5JnD44lED0cgtItN9d00B0wGo7wq36SuST+ZI52a8jBwwvYehZO3xcTS7OPpskLi5ODijvat8YWauk63daAaqVP8+QCc2C6Y3bFp7gGhLE5pnZex+ybRPQY+Py8d7eCNbLYf1j+WH7WePLkydNV0pUuzhzHIbuWRfEp7FzLM7MkGmc0GBFavmIPRWVXCGD88E038qhTbdL+4e+DqhIMqjx4a5/13TVCkRC59Rz1e/fwBSRmZjKaEAwF0XVhMBGKMuyZsjs1lLzCi+OaC3dNpHXi6QSZQoqYEZNxnBZm0BkAoKd0/IEA+fWsLGSrkufZe/LQvQGaA1kyLz/Yh0BwycXSiMQ1Oo0OuVIWNagSCodcsKgaUNGTOoFQgPY73+PssML5aZNgWCKVYtkUtYsGs+mMzNYa08mU5mWTSaPuujYn5oThxTmtpmQ2NitN7Km4/4yMQSgccjt688kYPaVjpA0alw2JUqpL12phLzjerzDoSfG1uvmnslIsrxb4NV0jnoizf/8UTdeIaBE3AzWWiBEKSaFxeVqn2x3DzGJ9t0AgFKDf7hNcOnVnA4lJGvRMwTcs3ZgH+w033F1RVfR0gtTWOmtbEkc1n81JpzWOHp27IfSBUIDcRsENDx90Byg+heJmTuCwoxGZQorNzSRG2nAjiV54ZUeeawqowSDZQgKAzFoGLSkpFcPukEQmQadtEoqGiCVkLB9PxJmYEzc5IRKT8Xy33mY6maKndLKlrNuVjWgyMlSDKpt7Rcz7P0TLZt3RNgroSR2f38diIYkFtfM6alAlXUi7fLGFvXAzK2fTGZu3dyht5QTJEQiQyCSIGTHUgMq125su4T8QCjAejilt5yU+7eUv0nvzm8JHK7fQU7qkFCy5coqioBmam6yhahKOHjNiJDMGOEsDTdCPFtcIhAJuNFooIs+5PxSV5smTJ0+fYF1pQ0B845ajfvH/IGwya+ZiKTr1jhvcHY1LSLgWC9GoSuGwcy3P6ZFE1oSjYRcQms4laFY7Lg4hHAkync5ZW9N5dO8CPaXjLByGPbnBtqotkrkk4+GYfrsvFHi/j2RGp9cRbtYKbbAim4e1MPFEHMMIM53aXJ7WXVxCJBYR4wLQvGzK3llARU/EGC1v3MPeUIrHi7qLijDShguQHQ1HbhzQcy9ucnraJZvVODmSHZ9VBE9xM0uz1mVjO8v+/XP0lI41EWfjZPRB6PjPffkpfv+7x8JUu1lk/6FQ8AsbWSpnwtDKlTJ0W30CoQDpTJzaZQfHcT4g7Mdlby+mR6ic1d1rtsJpzKYzYkaMcDRELBai2x2RSERp1HqCyZjLntJoMHKdodGYLNQn0jrRaJBmo4+zcAiEAtSPLogkDUKRkBsj5Pf70VM689mc5skF6a0SuhGl1zElPH7pdNSTujDPlqPNhb0gGo+KI7IgXbh/9Rde4u/+3W+Q2lyjU+9gpA1xcsYjjEdTZtMZqUyc2mXbTWLw+Xxs76bp96ccPDiV1AfHwWx30bNprIklTs1QAD2lM7NmLjh5ZW4IR8O0a22SuSTpTFwME8sdrOlkSr/VJZ4ySGUNGpU2U2tKKpdisVhI5ufYkhGlobl/xkgbVI/LJAvCc1sVQqsXCQt7QaaQorNkB4KsEyg+hV6zRyAkztJ2UyDLw3e+TfazX6Hf6aOqKmubGY4fl4nGo1y7mScQ8PPuG8fEk8Jx++VffIVf/x/flR04B9f4MZvO0FO6MOMSMYbdIfFkXPiFf+uf9wwBnjx5+kTrSnfORqbF7o01/H4/sUSM7Rslib+ZzZj1e6TyKfx+v0QsmRYLe8Gw3ePuG/vYc5vbz++4sTrbe3k6zb6MuYwY/XYfv9/H3l6a99445Es/c4toVEZlGzt5xuaY1z97g9p5jWA4yPreGvO5dOgsS/hWq9B1s2+SzCXFNJDSadfaVC7aTCZzAqEAvZZEHVkjgZ12G102rpVY38pi9kyi0cByoV0yEluVloytlvyr9c2U3KSXoNsbT2/KiKk9pnpWZ/9RhXA0TCQWcZew+90R4WiYwcDCyBh87rVtzL7pJhn4VT9PP7/Jb//OfQG8BgO8/+ahRDfVL7k8rREzYjz17AbDvmAwOvUO/b6Mwb78xRt0qw00XWNjO0O/3adV7xKNR2nX2jK6DfgJa2ES2QTtyxqRSIAn7+7j8/moV7tsbouhIJsTXMjW9TUJMe/2KJaS3Ly9RvW8Tr8/od/q02/3BeURjbpB3+2aFEiBoHRBm5UmSlh21eqXbayJRWEtKTf/RJxOo+N2Iqf9voTJ2za59RzdpgSR//o/vkskJX8mlU8x7A7FFNAaUC/XlxBf2cV7+fkS6axOu9rk5LhF5bwpO4rDMXee3SBRkKV7TdfIlrLCkfNLFuVsOsMaW2RzOrliahkb5cOe2VQuWlSOLgiGAmgxyRNVQ0GJL2ssi9p+j167R78tGbOWOXJxH6sc1WFviC8QoFOukS2mliiW5gdu1Uad8/cfLkPME24x/fyzJVL5lHQpJ3Oy+QQA2c9+hcYf/I4bRN/rjintFNxMzLe+fyA7dXqE28/v8Jtf32fnxhrOwsEf8FMsJd2R92qX0Uho7r5jOBz4WH7WePLkydNV0pXunPlTO07xX/mbbuzL2JQ9r2Q6TrPWZdAVcKyR0mlWWi5WQFEUN4ZmFSOULqRY/VVXI56xOYblY8lc0gV1zmdzd5cmZsRAkeDvmTVj5+Y6jWp3CQfN0Kq1hdM0GAG4zLRVRuUKxGqNLRc9MTbHpPMpeku8x2ppe5VesPrzG9s5Hr13zO0XdimftZiMJzz1zAYP35dOWCCo4vf7GJkTudEu+WSLxYKpNcVqNdFLJRzHIZHWGZkTYvEIzWoHszeAhU16vUDr+AyjtOYu82/s5Lk4qRMIBvAH/O5O2wroWiilODuqutfj/KjKfDYnty5jwVVO5nwmi/yj4Yg7z29z+KTqgmTnc/nVtiVSa9Ad4DiOO7o1+yZIs1DAv+0+oUgII2NgGBFODypEtAhGKoZlzdG0IOXTOvFEnF6r5xa3IK7fVYfOGlvcfHqTw8eXzKcyolzYC4losm2MbJJeuUI4lUJP6oxNCWifjCbs3ixxfiwj4lAkRPW4DIpCMp9280gdR1ynWjxCvdz8wEhQa2PbtjuejsajboEfT8SZz+Zu5FE8HuLRvXPiiTjD3tB1nI6GI9cdavZNcYs6zgfGEgf377OCNWfX0vQ7Qza2M2wWdb71B/tuF3Y8lLF1MBxkYk5c1lgik+DO00Xu36swtaYsbMn61FOCu0hmk1S/+duEbr+GkTbotXoSJbVEr6wKZ2si2JDOeZlQIonV6xHUdUGEKAhSpCsYHJ9f0DCDzoDO3/9lr3PmyZOnT7SudOds5bpbjeHGzSbZvMF0Kje5jb0SZrvLoDt0OycTc8J4OMYcCINJT+tLZ+GAykmFytEF7fNLAiEJmt66vsbmteIHxUFQdRlgiYwARm/czBONiTPw6NE51kRGUNWzGrm1NOPh0hVYvcQ6eUi/1ZVxV09+VQMqa1t5Sts5Kf6mc5rVFpNlURUzYiwWC3av50hkEoI36PQ5fHTBC69d5+y4Tu/xXazDewwGUxSfQqGoc3lwRu2iIQwvc8xoOCK/lmRQqfLap69DJO6GaHdbfSbmhG5rQCJjUNhew8hlGPaGqLpBOqfTqTaZTWdcnNTlRr3M2pyYE+F+9cSc8OTeCYX1DLee3eLg7hEA9niMYYSJGRrOwmE+n2OWz4jGJVT87KTlvr8q0Eb1GvbcprSZFkhsJISelH8vyxSTxspcoKd0ptaUXrNHvdolHBXSfqvepV1rU71oocU1us0uMSMmSJOU7oJ2NT3qZoyeHTeEYK+FMdIGjuOwsbdGaW+duKERSaeZDExGQznDao/u5KDiGjOalSbxdAIjm/wAsNtpsX19jak1pVltky6k3G7ffCbfu7iZY9yo02/3Zd8qHKLbkGK/cXjC2UGFh++fYVXLGIkon3r9GoFggMloInFRQDwRw+7U3fSFyeO33ZzY0nbBLf7EdbsgEotQuezy+996Ag4MO32CoSDru0Ucx6F+UXfTFNa2C0xGE779229h9gViu7GTk8J2YqGqKs3LJqHbr2E9+L6Ma1sNrIlFPBEX04fP545PO/ff5fM//wr59QyoATf71VkInmTFmgsEA5h9Uxh2njx58vQJ15UuzhYLieRxHId0IUXp9nWq5TaNyyYA45HF3jN7zGdzzE4XkAV0v+qXPS2fQFBdwnvzjEAkTFDXCQSF3N9uDqhdtrl5Z53uG98kFo+QLqTRUzrNShMjbfDmd/cF8LkcTelJndFgRDAcpFkVt19uPcfTX3gZdf0GLGzalQZKNEZiuQxtWXMmkzmJtBRMq9FiJBZhOpmytpnl8f2yu5zuC8hu0qN7FyQzBv7CDv6NW3Q7Jj6fT8Lgo1H0lE7j3TcplNJousbRowuIaLzz9hmKT0FPxt2dJPPsiF67R+Oy6WZMqgGVuTXl4rjGnZevu5iNa7e33HihdDHtuh4/9zNPoekSdP7g3WN8AXEDEgjy5N4prapAaFVVhbDwu3x+H91ml15TnJiaoTFqNolkpVhdOT5XaQjpTIyIHhOH6XJfcDSUzuT29SLOwuGFFzcxB6aLJbHGFtFYmGgsyu61rBsltLVXgOmUWEwcvc+9tC0dteWC+sQUM0j5uCoGgrks1+e317h2s8CgKyaP6WQq2Z0+BTWgouka+TUpvqxuTzh7RpJwWCUYDpIvpalfNIgn4ziOQzKXZDYY0Gn2CWeyFDZyLm4jVUhhNRswHVPYzEmWZb7E8eMLvv2NBwLeDQfdrm42GyWYLdJtiEs19/oX3Y6arofw+X2Mh2OX2RZcQoE1XZMXIMvxqN+vkM0brG0XxRE6ndNrC/BZCUdcMG+nPSJmxPD5fKxtZkjlUxhpA+OVL9J745sktjYxeyaJpLhCg2Fxc4ajYdTSHt/91mPOnpwTiIjj2kgb2OMxs7Fw1ZK5JMPeUIw+0dBH/4PGkydPnq6YrnRxpihgTSyCoSDVsxrlr/8WejJOYSPr0tYP33ifVC7JnVduogbEXZktZem1eh8AYpcOyMyzL7o3jtrxBZPRROCaxRTvvXFA7PnPcn54iWGE6dWaRONR+p0+elqnfdkQ5+NoIlmCaZ2IFnH5Z51GR4oVv49owsDIpgRGOhwL28ucMJ/Z1MpNFuaAZFbyGNM5A2tiYRghMoWUZIQORwSC4lZcLBa0ah0WC6HFW2OL0fkxvc6Q2WhEIqmx/trr1Csd9GQcFAiGgtLB6tSoXzSYmBN2b66x/amXUAMqiaxwyuyhICMY9ckU0xw8LLvxTI1q182HHPaGLhH+m7/5JtZIAt0/9blbBMNB2k8ekdvIsXNz3V2uf/6FDXzhMJ1Gh16lwd5Tm9i2TTKXpH3ZILG+JuMvx6F6XkdPxmmclAVp8vCc8f77aPoHN/p5q8bOzXXqVVlc/+63HxMzYuzeLMkyvRam1x4QDAd5+/v7BMPBpePRYeeZPXFB+n288Z0nzKdzN3ZL8SlYlycEQgG6rYGMZU1Borz7wwP0lE6/O2JtKycojGUmptk3OXx4hrNw0DJpGmXJlzw9asheYXtIeBlEnimm6VTqxPNZUlkDZ+EQCkkOaL/Tp354hr6+Tv7pOzQuW4SjsqenBlTyG3m6zS7j4Zh0PkEkFuH8rEMqL+Dd2cSifu8emiG5sHffPMTvl6JfT+koisKdGxkCQfl3DIQCZIoZQpEQ4/Gc4ydlmlVxX8YSMabW1I1kGnQHAmieWMysGcPekOPHZSJRMWH0zs5JvPozdH/4DRLZhDxXzyqCIZnOGO+/Ly5kQyO3UWB2cSDf1xwTy6bIbRUxUjrBUJC1LelO1/ePP+afOp48efL08etK75z5EltO9hf+r0wtycM00gaFtSQ+n0Kl3GE+m5NI67RqHXw+n+sK7Hf6BIIBt2ujKIq7pP3aZ67z6EmD2oNHqMksoWgIs9lBCYVwbJvwEtGh6RpGQmM4kJHqqD8kHIu64df1kzJGLuN2UiajCbOpsK8mo4l0MVK6cM8sCWqfmBP0ZIzaRcPt8DkLGbutGFpmt8/zr9/k7KRNv90nv5FjbMrX9i3ZaM88v8Hl5YBGpU04GkbxfVAwrLojo8HIdXm6oeHqcn/Mp5Arprg8q7vuxdU4KRAK4PP76LV6WMMRajgkBUq7z3xikVrLCnw1FGTQGSwzOU13rOXz++g2uiQyCReNsNr9+3Bot+M40qVbyFhNDUjcVDwRd0Oz27W2CxD2+YVSH41H6T5+gD+3gW3b6EkZXa5cqGNz7Hak2rU2qqqS38gx6Aovr/HgPqHChiy6LzM7zb4p+It6h7AWxuyZzC0LLaFjDkywbUKaxEqtlvl9Ph+f/+ItvvXNRzz70g733j0lFAkRioTAgU5DuGiFzTyNyyaFjSzd1gDbtgXNERTgbkSLCEstFGBiTrh+e52DR2WMtOGO813nZ89kfvQe6u5zblTZr/ziS/w/fvVNl/sWT0q3cvtagWZj6HYcrZHlssbWd9fw+31cHEkW5tSacu1WienUZv/+qbtHhgNf+PLTvP3WKdbYcnNt1aAq3eCJJR2zbILuD79B5jN/gUw2zqN3D0kVMhTWEtj2gtPDKpu7BZqNPu1qm7WdIpePDokX8kRiknyhqiqT8YTiRpZH/5evejtnnjx5+kTrSnfOQpHQH1oSv3Yjz+V5i4vT5hJpYVAvNz+IndEFIbCxW2SxWJBZy5ArZYkn4iTTcYy0wd27l/j9Pm595kXmy85RLJsiU8xw7ekdMgXJDYxqYXpdWW4Pa2FC0YjEQp1d8spza6RKefqdPsVSkl6rh7NwyK1lKG5kpNswlu5SKBrC5/NhjSxuPFXEmswIhoJs7WRIpWPcfCrPpNOluJmTQlJVubwURyUKTJfFTTAcJJ3V8fv9PLh3SSwWdE0S8+mcmB5l1qj8oeDtsTmm8e6bLo6h1+px+1nJldzbTpJby6AbEeKJOLPpDNu2CYYC9Jo9rHab0rUNAsEA2ZzO9vUS/qAUACsEhXTVzCUc1k+zXCefl1zL+qPHLkHfSEreo8/nk0LblBzPVWEaS8T4C1952h1hT0ayi/f6Z2/g9yu0L2vcuV3g9nObmH2T9VdeJreeI1fKue7CsTmmc3rmhtAPu0NypRxqUMXvV7DGEvLtSxXE+RhQSWQSblwSCFdvPByjp3VCWpR4Mi5Zn8goTg0Ir25uicnkweMGP/uzT7kGiI2tjEvEj8ai+Pw+hn1TslNnC8G/OLC+mXaf108/s8aoN3CRHgePylK0L69Ddi3L3vWc63bUnn6V+WTsjlb/u998QCqfcq/ZeDgmnoijqj4ZvS8D31cFrJE26LVlvGqP5Gx6Uqdy2aVe7XLzmW0pMG2beDLOu++eM3j8Pgtb/h9cu5lneyeNORDw7bU7W6QycTKf+Qs0v/O7XJ63KO6UmFpTzk8aVC7azGdzGrWei/kYDceEkhKFtsrFXe2ADvrjj+EnjSdPnjxdLV3pzpk/teNoP/c3iMajGMkYZ0/O8alyU+23hbu1WCxQVdUd+2WLKXrtIYPugFQ+JXs3lRpaJu3yuFbUek3X3M5OKBIiFA6iKBAM+lksHOqXbXdvbX13DXMoOAxrYjG3JAR9sVjw+ut7fP137+FXBag6Go545sVtqtUhU0sKh1VHTdNlad1IG25hEAj46HWG7OzJ3tmqS5jKxCmf1knnU7SqbWIJ6Q59OCB8NbKslDvkiwn8fh9nx+K07FSbRI24uyy+ch06jvDCzJ7J+t4aF4eXMJuiRqOEIiHMvsnuUxuyNxRWOT9poidjjEcW3UYXezpFz4i71ef3MbNmkoSwdKb2232X/6UoimAaCglOnpSJJ+Lk15J0OyO0WIiTJxfoSZ2YodFfRgepAZVxr09qLe9+zdp5TbI2k3EikQCj0YzJaEIqE+fwnUck1tfQ4lHKx5dS1C8cStt5slmNd354SHEzx9n7j9h+/ilOHl8IADcSctlg1tgSWGwyTrch/z6z6UzSD/x+Ghc1YkmdZ1/Y5N57F0TjUUGk9Ids3dqifFyV0aAeoXouI86xKUHhMSPGaDAilU/h8ykkkxEGA4tBb0Sv1SNbyqIokhww7AnvaxV0bo2lI+lX/aTSGpoW4OK8Jx09cGG8iWwCVfXTrMhYdGM7w8Vpi/l8znMvbvHm9w5cXIXP7yOZFaTFsDd0s1itkUVmLSNu17gYKOazudv1m8/nPP3cBm99/4BwNCwvYuJRWmcVbr18k8vzFv23fp/YC58jGo9SPzzDWMu7eazV0yq3ntvh0XvHLjsuk9Px+RSGQ4t2vcvUmjL8tf+11znz5MnTJ1pXunOmKIqMxxSF6nkDI5N03XVGxmDcH7K+nXcX6+OJONXzBpOxFEHW2GI+mxNJJd1xXeOy4bo6V3yoiCbROcOeyWQ8pVnr0VjCaufTOdm1LOZgjBaL8OyLm6QLaXyqyuuv7RBPxPne9w556rltChs5wQfkkjy6VyYcFvaTkdLdoGuf30c8GXcdeOl0lMvTGoFggHf/4AH5Utol3p8dVoRfNZmCAoOO7AAlc0khsWsRAAYDCYC/PG/x4Ht3AehcVHj+ddnDm1oSQWX2TcKaQHnNZoc7L+5ycXTJV772LHo+I8vYCnzp557h5EmZkydlDh9fCpC0PaBVkeipwk4JIxUXuO5ERrarsemgM2CxWLhu2Wg8SnE9Tac1dPMrGzXhc00mc4KhIEYqRu28TjwRY+dGidxamuLeJmvrSVJZnU6jw+3nd/D7/fh8ChcnNVrVFqPBCJ9P4dqLT0kHcW5jpA2mkymFjSzlkxrlcp9oLMrZvX1SO1uc3Dti7/amdKKW0NVEJuGOJAcdKepvPlXA7/fTrrUZDUcEwiEKpTSPHlbpd/oCUrVmbN3aYm0tLnFgCtQvW6TyKUrrCddlGgwHSeWlIzu1ZlQrPfpd08WuTMyJxGTZNomMQbfRJb+WJJkxyK5l6Hf6GIko7ZbJ2995hNk3pTCKRd2sTmtsoethdm+WUBSFem2ApkfRdI37d8vcfm6TQVXcsV/7yh0mI0FnBEIBptYUPamzc2uDQUdGrSs4rKZr6LrAftO5BO++ceyOylf7d3o+w6N3D9F0jdgLn2P4zrdpV9ts3tkTw8REnp+JbIJH7x3z1PM7AGjxCJfnTVrNIdUzGW2v/k08efLk6ZOsK985C37h3ycS1xj3hwQiYck/zCdp1TpuF0BP6eDg7iRFYlJsAfSODrn52Zdp1PuYfZPcWoZBz2TYGzI3ZR/HH4lgD/sY62tL1590kFaL0IPOgC/93DO89fa5O64c1Fv4wmH0lE73vExqW8aFg6643VrVFuu7a0SjQZ68f4SRTXLrdpFKZSBdiCVLLRwN02t00BJLZ6PP59L5Z9YMzdAIhWXPZwVcHfaG4hgdSjem2+iSX8/QrHYYdXtce/YaJ/tl5tO57Is1O0T0mMt8m/a6ZHY2XXbYajS6d3uTw7cfEivkGdabhAxDKPT5FJFoiF574OaFxhMxIpEA/d6YWDxEpzVk2BsSM2J07r2N8dTz6MmY221cEfnjSRl7Nst1wjFJd4jGo0SjAaZTm/P9c4xM0uV1WWOBCwNs7BUZ9Me0qi12b20wmczptftLs8Vcdp+qDW6+cJ1+36Kyf0ogprndr1AkROOyAbZNLGXw0svbfPfbj90YImtsEYlF6NQ7bsG+QpFkihk3dzSzlqF+XieRTbjJEPZcclqtsSXPiWaX517Z4/BJzX0uhiIhly02GozczNjJSFAlq+xRZ7EEEl/uo249xTMv7vDg/TOs4Ygbz+3x5P0jwrEoM2vG7q116tWu+7Wnk6kbxu7z+ei1e+64f1VUZQopLo4uUVUxJayAsCsHczAsyRTr23kqF00iWoTmyQWqFiORTRDXI1ye1t1u7Gw6c1MwovEo7Wqb+ZM3YPNpogkZByuKgjkwSeVTf+j5MJ/P3Vit9tEJ+VvXOf3P/jmvc+bJk6dPtK505wxAS8QZD0x8gQCzs8fcXhLrVxFM8+kcLRYRXMZyuXgFfDX7Jtr6FhcnDeyZjTWyqJeb2HPhpGnpJLmddZK5JEo0xsScMOlIUHq/03cD0TVD4533ygy7AgSdTqbEsikX2prdE/p+87zi8rc0XWM2s2nW+6D4uHGrwPFRm0alTb/VFbepOZaiQYugxTWisSh3nt/i8lRyPJ95eQ9rbAG4MUL23MY5vcfUEifqxJwIRHQscThBTePipCZMrPP7Ao8NBEjlkmxdX5Ow9d0tAKZHd+UGef6EVD5FLBZEy+eYWTOyOxvEk3FuPL2FGlCpl5ss7IUbPF/eP6XbMek0Ohz98F33Br17LQv5HZKZOPVyk0FngLl/VwqAocQm9dt9cpsFGQ2WL2lcNrg4qXH+4JCoLvtfvfd/6O5RLRYL5pUjTFOuhZ7SObx/QqEQcwu3QEj2l9aubXJ53mJqTVG1KLOJLLL3mx3atTZaXAqVaDzKu++eC2/rvMygI/y3VrnOoiFRXrY5WPL0hF22ypNs19pu5JB1vu+mNwTDwg6z57aEiQ+mbvrCzJoxvLyUVAtVkhOssUX9tOyiTlaMsMVCOmrkd7HnNo/uXRCOhNm8ucl8brN5Y4NQJIRt2+y/d0CvXGE+mzPsDV0+nJ78AGxrpHQ+95lrQuCPhhmPPtiHNNIGES1CKpdibTPrxkjNrBmNahccKfK0bJpQVEwWmhbEmlgMugPpyj55j8KadArrh2esbedh82k4u+eClQHmpw8xly+MBq2uO36OaBFUVSW5vUXt/fc/yh8vnjx58nQldaWLsxWsMhSNkMwlIb/Lk4cVt+uw6vpVz+vuq/5ENuEunicyCZe4P5/NYTbFujhkcHaCz+dDDaiyCD+3SeVTAGiZtNtpcRYOejLm7tcUt/Iu+X9rNyeE+7ntBj+j+Og9fF9I74k4tXv3xTSwXeTkuI1f9TPuDwlFZQQbikpRGQwF6bV7pLI6h09k9DQajiifd9BTunRsDt+j9dZ3CWth9Odep7CewRn2CC8D13vt3jIwPcOkfIoaUMl86guYfQkK7zS6HD06R/EprpNw90tfZjKasPnZzwFw+KSK2eyQzEk0T7fRZTSaUTu5lFzQJcVdDagY+YykJnTbpG/ccHEb52ddktkkrXoP60huzpG9O+jJOKFYDEURd6vZM2k/uEeskGdtKy+u03CEsBZGDaqErz8nxorRGCNt8ML/4kuYy+X6QWfAxvUNHrx/js/vw8gYBENBFJ+CYYRlAd+STNKoLqHeua0iRtrA7JvE0/IcscYW2VKWWCHP+m6BVq2Nnkmy+5lP0bhsEEomxSQwmvIXv3STQXeAnoyTyqcYD8f4A36uf/FzxIwYelKn+/gBw8GYfqePz+ejWe+5zsxAKMCLX3qJxWJB8+679OryfNCSCSbmhMV4xGJqMa5VZDx+cUy6lENP6cLCs6ZMJjP8fh8+n0Kv0SEQDJAoZMHsYvbEqbt1awtrbNGstFyX8NSacXrZd2OurLHF1rU1yXLtDkmlBdrbrPX4y/+rV+k2u9jDvuz/BVVa1Zb8ff1+fvkXX+HyokMym8SpnUjhVbyOvUwRMNbynB9eEk0YxF/8PIO3v0U0HiWRjhO+9gylrSyBUICoIa7c/HqWxmWDdq2Noiikn7r9sf288eTJk6eroitdnDmO4xZgrdOyC/RcYQcmowmxRMyNzlk5I+25TSprMB5K3JMWj0iRkDQovvQKqevXsW1ZZp5NZ3TKNVrlOmpQZX1bshD7HXFMNqtt7LlNr1yhdtEgHA2TzCU5OZDMzVmjgt8v1Pji7jrZ51+WNIPhmGhpU0ZClSadekeigFTV7a4B/PzP3RHA6MymWevS7/Rd92P7osqgM0BP6ex95aukXnwds2cyGU2wrDl3Pvs8zkJI99PJVLovtkN85xrz+ZxYXKCfq+LS5/ORXcvy+uduMuwNqVc6wjuzHTfnMaRL/JE9t0lkE5hDOfOKjA+QzSfY2Mowevgm/rhAa596bodULiHuS10iqnKvfIZJtewWh1NrKliSgTg01156CWts0ap3wRE0hKqq4j41YmKkCAaJaGGePLgUplhckhoiEdnLs+c22ztpN1j76IkYAtI5g2F3yNgcM+wN2dlJSVyXPWNhLxh0BjgLB7Nv4iwcKmcNrMN7OI5DoRB3C+zCRo5+p8/Xv3/GdDKlfHzJzJpR3JJF91ZjwKA7IBAKEChu0bqoArgg2DvPbQAQCAY4fFKnVW2ReeZ5tKTuGhFs2ya3u0nE0CGW4OL+PtGta/j9frS4uEU3dvJMzAmHD8+pX7a5/syO7BNOplz73OtYzRrW2OJ0/wKr28Hq9fD5ffh8PnQjwsNvfFcMKPGw7NYNJi777eDBGcFwEJ/fx//0+8J223r2JlZ/QDAUZLGQlAE9GePX/8d3yRUMOudlPv9LPw8OGBmD08OqYDscGd+qAUnaSH/6y7S++085vX9EYT3Dk9/6TXencjqZcv7+Q6KxKH7VT/vsgl6z91H+iPHkyZOnK6krXZwpKKxv52QXKyLLzWbfJJkx3JtnIBjAaVdlb0kLu3FAk/GMxWJBzIhRPq64sFhV9aHFIhgpg0a5gTW20NJJQrGowGQ7I9K5BEbKYD6dyohnOiOWzxHRIkTjUZoXNTfDMnntujt6tMYWWkwWy4e9oZD+lwT0Fcw1vyGh6jNLOnY/eLfCsDsEBdK5hOy7hUMEQgFyu+sEQ0E61SbjsTDUIrHIMlaqz/0393Ech2gsipGWa6KqwnWLxqKMRlMisQiRaMjlVPXbffYPWkQ0IcDHk3Ha9Q6hiBS2q2K3sJ5mMpq4WYuqqkrBNBxjmlMajSHK5h3Wd4voRpRatUfltMZ4OKZ6Xsee26QzGpmbN1nfSDJutXA6NZLZJEbGoFVp0WtLjJAW11zH7Mp1uxoH5tazdBpdUCBTSFIvN6QYnkh3bNxqsf+oymgwEuRJWByJtXILFMiWssybVe69e850MiWsx5nP56xvSwdnBbC1uh38G7dQFIW7757zr/wLz7OwFzQuW6RyEtGUW8+5bttEIrLEQozw+XzCsEvp5LZLxBNxN9vzvTePpROr+l3+3mrMZ43GPP/qHsFQkMZlg+lEFvNT2xvuon6n0aXf7tOs9/GrfrKlLJlCkk7bdEGz3Y6JtlYiGAoST8QxSkXWn9olHAkTjgQZj+f4s+tkCinODysuEy+/nnN5fALsFedzr9lDUUCNRimtG4LmCKgMumIouTxvEUokOTnrMp9OCYVDbO4WiCfi8nzTIiiKIjDkeATW78DFfUolHQrXiWgRdm8UicQiFG/fJBKTF0+pzXVShdTH9ePGkydPnq6MrnRx5jgOl2dNmMm+T/X73yYYDjJYsrVCUYnoufn5TzHsDame1+k2u1xetDEH0mFq19oAFDaEeWVNZsxmNvULWWiOaBG2r+XdfEtBGDgS4hyWgmWVydhr96id14gacQGE9iQ+SDM0UrkUU2tKrdxyjQrBkJDU6xd1fH4fftXvft+9p9YJhAKU7z8mnoyjJ3UWC+kSjoYjppMpe3tpFosFWkKnelZj2BPHY/3+PebzOfj8bm5jviiOw3a9SzAcpFNrUf/eN7HGFucPJTxd8SmCAZnN6TU7tN5/m/l0zvjRW3QbXfyqn069wwuv7jGdSqctkYqjJzTJ7lxys+oX0gFKZBI0Km1O98tMJ1Ou39kkrIVJZpPcenabw0dlrLHFe7//Duu3r0Eih6rK18ysZXjx5W3M3sB1Hy7sBWNzjKZHGZ4cEtEimMu9P/PBW1TPGwCYA5NeeyiuylduM+gOZKerO0TTNXdkraoqrUqLQLaIX/Vz+/ltihtZ2aGrSjj6amzni8bcce7g7g/41X/4HubAFMCvvaDX6NBr9eTFQTbJ0ZOK5I6eH6EoCr2zU+y57eaQjoYj9KTObDqjVZXnhDOWLl1pI810MgVrzDs/OKCwkXVNKIqi0F4S+lfL9j6fQIEdx2FhL7Bt6Tq1z6sMugOaJxeSZzqbM7g4l+d7IY7ZN91CWQ2o1C+bbF4rMrPka66wG9OlG1iK0Qb+gJ/qRZNILMLRvvz58XDsgmnVoIrV63H2+IxAOET9nTdoNiTNonpaFWDuwKR3701q5SbbT+/ymV/5Zb7zd/5bCtc26TQ6PHzvhMloQuW0wlopQTgqHb36WfXj+WHjyZMnT1dIV9qtqaZ3nfwv/qey5F8+JvvMc+Kki8mrfLM74Nbzexw9LguiYvkKf5WJuWJXrZbKAeZT6QqdHVbQU0LHn1kzFp066Zs3lzd1P+X9UwJRGSkVNnKcPz6BhUNiLUdMj2JNZhJQXj5j88VnuTiqcOeFHS7O2u5ez3w2J1tMcnFcdW+8q0zO1WhnhQ7oNXsEw0Gm4wmpYkaKyvmMZDEn557NiSdiTMYW/XbfJeOv/m7deptQNOLS3f2qn2Q2AcDaWpx33zjCcRxe/cwNGg2Tk/1Ltyu4e2ONRn3A2ByzsBcoPoX8WorNdYMHD+vUzyqEtKhL8QdIZROcf/cPILtFKBohu5Zmas2FHxePMuxJcPisXiZ352k6jQ7BUJBExqBZabnoin6nz+ZugeMnZfx+v1z/gIo/4Gc+lSX3RFaSBDr1jju6fuqZdZ48rLgcsFVCwwpREo1HGXaH+FU/alBl5/oa5bMmg2oNNa6jxTV6zQ6f+dLTfP9bjwlHw5jHj0ndftZd0A8EA6Rz0plyFg6dSh01EiFmxFzXrKZrVE+r4rJ0HJzZFDUsyJDtGyVse0Gj0iFfSlE+qbt7e1oszOVpjXA0zMIWQK3f76fX7MDCRktJtzJbSNCs99i7nqPVGnFy74ji9S0XUaHFNSlqTsuo4QjzQQ+cBUQkySK/kWdvL8V3fvtNCIRIl3KYfZNsMU31vC5mElPQM+FoWNIilmkD036fjdt7NKttEpkEwaCfXmdIsZTk8FGZQDAA4KYxaIbGxnaOR+8dk9vIYfZMSltZnvzWb0LhOoVrm1S/+dsEbr0qge2jCbY1QUslmE/nWMMh0YRB++/9Zc+t6cmTp0+0rnRxFspfd0q//J/RrDQpbefpdWQhfNjpw3iImkgRDAUpbWU5flzGtm03c7C4luDgUZloLEqn1iK7nhc8AbhFks/vc/ex9GQc2xYn4WqB257bbO2kuSz3yWRjPL57KiwnQ8Na5nYGQ0H6nb4UeEtSfCwRw69KceHz++jWWiTyafrtPpliBjXgx+yPBGthTd2b/Go/bWVuWBVvzrKjtlgs3JDocDSMGlBpPbhH5s4zZLJxDh6cu0VNcSvP5UmVYFhGXf12HzWgUlhPc3Fc49/9q6/xn/w/vy/dqb4pBehhmWQ2CeDCbsPRMMmswXhkMZ1M2b2e570fPMG33EMz0gYLeyERSEu0xGg4csGrkZgws1YB7+lCWpAgS2ftfDYnGotKcdQ3ZRdpNCZqxElmE8TjIU4OZK9vxaqzRjJGnk1naLpGp9rEyKYkF3OxcLEXz728w8lxm7E5dp219kx2DVdsMJAs0rAWJqqFiUQCHD8pu2PJiBZhPpsLhmU9h23b0mkCxsOxFMg+qViNlIE5MDHbXYp7m2QyUS7LXdfha9s2RkqnVW0zm87wq343XmwFFW5X29x8dhvbdjh+fEEgFMDv95MvpRiP5ySTEY73Jb9yFSNlz2YEI2EpSHtD8us5KqdVFuMRW09fY9Af0T69IL29wcyauXm108mU2XQmnLqp5JxaYwHRdhtdLHPE7p1tGtWudDTjmgsWtsYSB2WkDcbmGCOlMxqO6Ta6PPX8DpfnbTfLMxAMENEidBod+Xd79EMSr/6MxJ0FZMdwsVjIc2mx4Oxv/fNecebJk6dPtK70WHNmTd3Cp9cxCUfDUqg4DsFUhlQuJWHLzQHzyhGBYIBuo4uzcDh4WMYyx0ytKUYm6RYbcUPDSMZcvMF8Npccx3qH6llVCrfhyDUKHDyuYo0tHMchXUjTPz9jsXAIR0L0zi/Y3Eq6eAZN19jYK0rg+nROv9MXDpYirlMjbTCfz4lGg6AIl23YHRJajk8HnQFG2pCCcdB1eVOrIi1TzBCOhNyvv7mVQs1t0Lxscrx/STwZd3e6LvbPWZgD/KqfW7ek+zYajmg3B4S1MP/4rUusZkM6h6MRw/6I7FrWLVwDwQCFzTzFjQzNaptwRPbgjg/q+FSVxXxOIpNgMpoQ0aRQDIcDJDPSlVplae5dz7GwF8sA8AzNStPdufL5fJLiMJXCVg2obO4V0RI6U2tK+eEBx/uXhMKyi+YsnKUrVro1sYRgNxRVXLcrvEq9LB2qo8Mm9TPZN8QBq9kgGA66RpDNvSKf+8ItjLQ4YpvVNqcHFWbWzO3QBcNBN2GhflHHGlk4C8f92LTTwqqcoyfla0S0CEogSPWsyngshP1WtYU1trBGFt1mDxTYvlGS4jKuMTEnWBNLdg/tGRcnDc6Pqy5/DAWqFy2GvSEP3tpnPBzz1LMbbmGoJeJMrSn9dl9ixHKauGq1GM1qh0RSwygVCS3/LsGQhMkHw0Exn6h+jLQueI6ZxGrFEjHw+6lXOujJODgwtaZuzNdqDNo8vURRFC4fHUqRlja4PG+zWCywp1I8zmdzsrmY+71XYenJjJg2Vv/fWtUWt5fPVU+ePHn6JOvHFmeKooQVRfmhoijvKYpyX1GUv7F8fEdRlB8oinKgKMqvKYoSXD4eWv7+YPnx7Q99rX9v+fhjRVF+7sd+b58cL11MM+gMiEYDKD5FYLShAK1qi9JWDmtkEVy/RiAUcJfeQ5EQwYjwmnrNDtF4lHGtwrA/YjyeEoqGCGthl5QOwHRKOp9gbSuPNbZYu7HlRtwcPbnEr/rJ3boh7ryAj/Wnb3J+3sWe2y5c1e+Xm9GgOyAUCbF1rUggHKK4niKd1SmuJWg1+m7X5rlXr7mB5opPIZuX/ZsXfuZFFEUhlROeWnYtjeJTGI8mxBOy1H522kZP6wDYM9tNPIjrUW69cI21p64xMSfcv19hfScPSLdpPp1z8LiKvr7Oy69fJ5ZO0ml06Da7mH0TFEhmdJqVFpXzpuRXzub0mj0p3EIBYkkdLRZiNp1RLzcIa2FOH58xmUhc1cqocHLcEo6cojA2x7z8+nU2r5XoXVwCEI4Ifd5xHCKxCBcnNdSgSiqXwigVcRaOW7yNzTFGQowhoUiISDRM56LijkhXrr/cutzgkymNeDqBkTbw+X2oRor17RzVx4dSbExtvvMHT2hV2+6uWjQeJZYQ44NmCNMskTHcqKJILEKvLW5We24TzmRJXr9JKq1hZCSSK11IE4qEBF2iKNx4eou9WyXSxTQxQ9Ae5ZM667tr+Pw+fvYrz4jbttvByGcIa2E2dgokc4LyWBVGES2CLxBg59YG0+mCiBbhhVf3GA1GbF4r4Vf96Cmdel12IY2MpGmkUlFyhQSXDw9cZ69ty05hJBbBnttcPjmViKlChsloQuv4jNLOGo7jMOxJVNR8JlBjNaCSzCYlK9TvFyhxIY8W1+QMSeHPpYpZ12hSq/bdsPnZdMb6l/8iF//0N8mWsrz0+g30lI7P5+N739n/cT8WPHny5OnPvf40nTML+FnHcZ4Dnge+qijKa8B/DPxNx3GuAR3gV5af/ytAZ/n431x+Hoqi3AZ+CbgDfBX4LxRF+ZFZLYqiYLa7dOodCps5LGvOwl6QK2WZz+bSITqpoRkSdj0ajFwArG3bTEdjpr0uajBI7byGsbXFs8+WaJQbEu49Egejsbwx3HzpBpWzOs1qRzhfzZ6MN3stWai+qDOfSqetetGkXm7KonT5kmF3iM/no3rREgipbVPcyHJxUmc2NCmfNamcNzk9qtOp1F0MSLUqeZIrtMbBvWNGwxF33zrGWu6XhSIhhn2JX+q3+2i6RjAke0GrYmo+m2NbE0IhP5enNQ4ennN5cEZuPcegM6By3nT5bX7V70JLDw+aDNs9sKXYsMwR9szm9MmFxDx1ZCzXrrbJrGWkyAmoOAuHk4en7N2UDlBUE2zHanS5ypWcTqbE9CiBYIBkOs73/8mbnN4/glCEta0ciYSMN6eTKYOuRAdNTDFyBEMS7j5qd1nYC9KFNEePzgVt0upRPr7EF4ni8/no1FqCALFtzJ6MS48eXTB4ck9yRhsd5vM5Bw/OSO9sYts245HF7Wc3mVpTGc3W63TKNYYtSZ+oX9QJR8OU7z6QaKqzE6r37sN8Rq/dc/9c5/CAWqWLzyf4jELRYFKR6/epV7aoXLQ5PawRCqnUjy8IRaSovTi6pN/u861vPpSIp+0N1jfTtN76LoDbwYzGZexbPy0TDAc5fusu87kEyZ+f90hkEpwdCLJE8SnCOBtPGPaGjM6Pufv2CfvvHZDa2pBua1BdujI7TMwJ6axOPJfGGo0ZdAds7WYhrFF+dIQ1sug12gRCAZyFIy+SYlEGXQH0akkddRmfNjbHZHI6nWaP+VyeXzE9ilmtEAiKW9m2JDu1clqj8MWvUf3mb3N02GCtlMQaCUvNkydPnj7p+rHFmSMaLn8bWL45wM8Cv7F8/L8B/oXl+39p+XuWH/+SoijK8vFfdRzHchznGDgAXv0x35vt2zsEQgG6rT4+nwR3lw/OWdgL19W2WvyOxqIwFubUaDAiljJQ4zp6Wsjuk9GEb3/jAU7rkrXtAoFQgHQhTeOyCYBpTgVUevd7vPKZm0LxH1tkrl9jZs2IGTFs25ZYH3tBrpRBURRy13aIxCJk8gkXucCoz8nX/ynW2GLjqR23WPH5fGzc3CYUCaEnNHQ97CIkHMeREdVkytyUxez5bL4cHUYYtjrEDEFd6Mk4i8WC0lYOPalDZR81HOHkwTGznnTzinubNC4bJLNJppOpm8V583ZROk+xCP12n1c+fxstqWOkDWIpg7lloQYlcicQjTI7uku6mKZVaaH4xEXo8/tI5NPUawI3PX//Ibu3tyQ787KBkTLod2TMtrFhEAwH6XVMmE1gMQdrzMk3fo8n989I5VIy9uuJKQEF9LTEU/Xv/hAtnWR9p4DPp6DFNcbDMeFomJ2bkmIQCAUwskkJb1dV1wgSioRQ1/bcCCqfz4eRNkhn4sxrgta4986Ji7rwx3S0dJK9Z/aYTWek8imyhQSBlOArsrdugZbAyGVQVclN1VM6xs4uvVaP6ne+jp7SuffGE1LXb5AupPnG1x/Krptt0270wJ7Rfvt7LEzprMaMGPNex40JO3hYJvPyZzj4xjcZ9sSROp/NpbMaCBIzYviNNE/eOyQSkx1Fs2+6wemDzgAjY7Dz1BaF9SzG3g0XGtyutbn71jGhcMg1Hig+hV5XdgNXenT3jEQ2gZZNk1vPArJf51dln1KLSTdsMposn7vCi1MDKr7laDkQDGCkDc4Py0TzBabWlGde2nOX/xeLBevrBqnXv0T7e7/HwaMymVLOy9b05MmTJ/6UO2eKovgVRXkXqAO/CxwCXcdx5stPuQBKy/dLwDnA8uM9IP3hx/+YP/PHKqKFCIVUGVf5/YTDAYpbBQCyaxmwRsQTcXcny7Ztctf3mM/mfPVrz+Hz+cCB7Z20dNTikqEYKGyyuWkw7vXd7EbN0Lg4uiSbixO58yn2H9fAmnwAcPX78Pl9XL9ZEPjnaEwkEkANqhJjM5lyfPdwdb3YeO4OrN8iZsTY20mip3ThaU0srMkMHBiPplyc1Jl0+/j9fncxPKJFSJQKUshdK1HczNOutfEFQ4DsqiWTEfKlDGeHslO1+fkv8pkv3OL2yzchIlFQZt/kxU9dI5ePu1mGU2vKOz84FLfowqG4meXxA9mzGg1HMo404szNEdbEIhQJkXrp09ROZAxpzz9YiO+1eoyHY+LJOH49ycmTMt3LOs+8uMNkPMHnE3zIW98/xHEcRsMRofwa6e0Nctd3oHBNroM5Zu+pDQgEl47OhNuJSzz/mlwza45hhInEIqTzSWzbJhRSXTOCNbYwilkyeYNYIkY0FiUYDnLr2S3Z5QI3N/PJW48IlbZRfArPvbyLkTboXtYxMga2bVOvdIgn4mSyOhfHNeLJOL3OUIj76YTw1CIhlxc2n83F6LH7LKFwgNxW0S0yIlqErWtF5tM5s+mMxEYJsjuUbl93d+lSO1skMgny61mya2mCoQDxm8+SKWZc00EqlyS6BNJmS1n8wSDj4ZhAMMD6Tl4CypNxXnrtGmbf5PK0TvW8gRqUInI0GGGkDVKFFKFIiFvP71Hc2yQUlkxOa2SRXc8Lly+bXL4A0Lk8rvDln3+BbCmLkZYdsWatK8V5JsGgMyAUkk5cKBJiOLTo1DsEw7LXpqqqi+Ion3fcwsyv+t2OWfjp15nc+x6FouHuI3ry5MnTJ1l/quLMcRzbcZzngXWk23XrJ3UgRVH+dUVR3lQU5c1Ru0mnM3KLgfJpA8dxSBYyOA4QDLsOs7E5ZjIcMTbHmH2T7/3whH6nz3w0YjKxUVWVyWhCKp9C0zXuvntBIBqlU65hD7puDuHpYY1nXpAInM9/7SVS6Zg7vhqbY97+vuzEaAmd/funWCOL2VRyLXM76+gpHWti0a5LduBoOOLh4wZqQCWR1klkEtTPq9hzm8ZJWVxw6aS7+9MoN7Btm91rWYHVzmwqpzWu35avvWJSHT2pcPt6hqee3VpCYn1899uPKZ+1xIm3XN6++84pp0cS0j21poyHY2zbdseorXoPa2yRK0k3KJVNoOkahWub7uf4/X5K1wSMGgqHWN/JE4lF3IDubqO7+rcjENN494cHWCOLRDbhBsVruoBmreGIYW8o49olZ2w+m6OqPq4/vcVoMOKZ23n3+jkLR9AkkymnRzXCkSDnB2UAzk/qBELiBJwMZDTaavTx+X2kMtKBvPfGEwKhAGbPFPSDArllUTLsDjl4UqPf7lO6ue2OUlcuxsvlvl37vIqeiDHoyAi6UW64+10gWJHRYLR0JPZQVT+dRod+uw8K7L93QCAUYHO3IKaBpMFsJmaBXkvG6/1On06zRzDop1Vt4/P7xLm73KOsntUwu5JGUD06dxMbFEWh1egz7PSZTec8fihA3uJmFr/qd0f99tyW7l2tzXw2p9uVAPloLCzFUkAyMF/7tKRnqAGVdr0NC5tvf+sxjXKDxmWD+LJjG41H3XzXZrXDZCy7ZO16V8LPj07c/xdWt+NyzKzhECNtyMpCz+Tem/vEjBhP/8IvcO83fsN9znny5MnTJ1l/Jrem4zhd4BvA60BCURR1+aF1oLx8vwxsACw/bgCtDz/+x/yZD3+P/9pxnJcdx3lZCcVJpWQcmczEMbt9zP6IcDRMq9oivV6geVEjW8pS2Cyg+P0kM7ob5hyNRVGjUU6PPiD6rzodPr+PdCFNfm+DWFHCqp95cZvRYMTxUYtYIsZldcj+vVPMZgfHcZg06tK18PtJ5RKs766RzieWeAyB1AZDQZe0H14aEtq1NsPukEIhTiIRIb2WZd5pYBSy7N7a4Ge+cINoLML29TXSxTRmp8/xYVPGnFqQ7RslKpdd9ITGqDfAOroPQKVpcnbSlBv2RUucjnpUwsxnc8YdYaetgLmhSIhUQYrTbN5gVK+50VeNSksiriIBN/B95+aGe4PvNOSma9s25dM6veU+XjAcZHp0l3QhTbqQZu/WOmpAJVvKsrAXlLZzmE/ew+ybhCNhEvk0Tz+/RWE9Aw5MWi18Ph+X520OHpyBAj/4wTGj/ffpLr9naStHq9IiFA4x6JkUtgr0zi8EVeLzMWi2iRpSNBjJGKqq0m4NuPV0iVhKcjet4ZBAMEDMiNGuCspj5f6dnDzGthfuKHaxWLg7UmpA5dNfeZ5mtc3CXnDtKfn7haNh6Ry2O7TrXQkSj4QkA3Nsoad0AqEA4WiY2y/fZDKasP/+0RI2vCCdlj1J5+y+BJ2HpRPXqHYxMgYvv7SJpmu0TsvuHmVIixAMBdm5I90+NaAyqtcYdAb4AwHqR2dMLdn5G/THTCcSvB5ediFXGbJTa+py3AZdyeScmBLN9fu/855gXBaO4EsiYW7cXieshd1OaDonHTNVlX9ns1534b5Ta4o1scjfuk7nySMUn4Ia01GDKpXjMtGE4DI+8/mboEBUj2GNLQ4elVFvvsL88Rt/lh9Jnjx58vTnUj+Wc6YoShaYOY7TVRQlAvwOsuT/V4D/3nGcX1UU5W8D7zuO818oivLXgGccx/k3FEX5JeBfchznFxVFuQP8d0jnbQ34PeC64zj2j/jeA+DxP4O/509aGaD5cR/iT6mflrN65/xnq5+mc2qO42Q/7oN48uTJ08cl9cd/CkXgv1k6K33ArzuO848VRXkA/KqiKP8n4B3g7yw//+8Af19RlAOgjTg0cRznvqIovw48AObAX/tRhdlSj38aYJSKorz503BO+Ok5q3fOf7b6KTvn9sd9Dk+ePHn6OPVjizPHcd4HXvhjHj/ij3FbOo4zAf7lP+Fr/UfAf/RnP6YnT548efLkydMnQ1c6IcCTJ0+ePHny5OmTpqtenP3XH/cB/pT6aTkn/PSc1TvnP1t55/TkyZOnnxJd6eBzT548efLkyZOnT5queufMkydPnjx58uTpE6UrW5wpivLVZUD6gaIof/0KnOdEUZS7iqK8qyjKm8vHUoqi/K6iKPvLX5PLxxVFUf7W8uzvK4ry4k/wXH9XUZS6oij3PvTYn/lciqL8leXn7yuK8lc+onP+h4qilJfX9F1FUX7+Qx/795bnfKwoys996PGf6PNCUZQNRVG+oSjKA0VR7iuK8r9dPn6lrumPOOeVuqaKooQVRfmhoijvLc/5N5aP7yiK8oPl9/w1RVGCy8dDy98fLD++/ePO78mTJ09/7uQ4zpV7A/xIRNQuEATeA25/zGc6ATJ/5LH/BPjry/f/OvAfL9//eeC3AQV4DfjBT/BcnwdeBO79zz0XkAKOlr8ml+8nP4Jz/ofAv/PHfO7t5b95CNhZPhf8H8XzAkHHvLh8Pw48WZ7nSl3TH3HOK3VNl9cltnw/APxgeZ1+Hfil5eN/G/g3l+//W8DfXr7/S8Cv/ajz/6T+X3lv3pv35r19nG9XtXP2KnDgOM6R4zhT4FeR4PSrpg+HvP/R8Pe/54i+j6QpFH8SB3Ac51sIT+7/n3P9HPC7juO0HcfpIPmpX/0Izvkn6S8Bv+o4juU4zjFwgDwnfuLPC8dxKo7jvL18fwA8RDJgr9Q1/RHn/JP0sVzT5XUZLn8bWL45wM8Cv7F8/I9ez9V1/g3gS4qiKD/i/J48efL0505XtTj7M4ekfwRygN9RFOUtRVH+9eVjecdxKsv3q0B++f7Hff4/67k+zvP+28tx4N9djQp/xHk+0nMuR2ovIN2eK3tN/8g54YpdU0VR/IqivAvUkSL1EOg6jrMK0vzw93TPs/x4D0h/FOf05MmTp6uiq1qcXUV91nGcF4GvAX9NUZTPf/iDjuM4SAF3pXRVz7XUfwnsAc8DFeA//VhP8yEpihID/nvgf+c4Tv/DH7tK1/SPOeeVu6aO49iO4zyP5Om+Ctz6eE/kyZMnT1dbV7U4+1OFpH+UchynvPy1DvwD5CZTW40rl7/Wl5/+cZ//z3quj+W8juPUljfuBfB/54Mx1cd6TkVRAkjB8986jvM/LB++ctf0jzvnVb2my7N1gW8AryPj31VCyYe/p3ue5ccNoPVRntOTJ0+ePm5d1eLsDeD60tEVRBaD/9HHdRhFUTRFUeKr94GvAPeWZ1q58P4K8A+X7/8j4F9bOvleA3ofGol9FPqznuufAF9RFCW5HIN9ZfnYT1R/ZA/vX0Su6eqcv7R07u0A14Ef8hE8L5b7TX8HeOg4zv/tQx+6Utf0TzrnVbumiqJkFUVJLN+PAH8B2Y/7BvALy0/7o9dzdZ1/Afj6slP5J53fkydPnv786eN2JPxJb4gL7gmyn/IffMxn2UWcYu8B91fnQXZhfg/YB/4pkFo+rgD/+fLsd4GXf4Jn+/8g46sZsofzK/9zzgX8VWTJ+gD433xE5/z7y3O8j9x8ix/6/P9gec7HwNc+qucF8FlkZPk+8O7y7eev2jX9Eee8UtcUeBZ4Z3mee8D/8UP/p364vDb/XyC0fDy8/P3B8uO7P+783pv35r15b3/e3ryEAE+ePHny5MmTpyukqzrW9OTJkydPnjx5+kTKK848efLkyZMnT56ukLzizJMnT548efLk6QrJK848efLkyZMnT56ukLzizJMnT548efLk6QrJK848efLkyZMnT56ukLzizJMnT548efLk6QrJK848efLkyZMnT56ukP5/281/fai9vxYAAAAASUVORK5CYII=\n"
          },
          "metadata": {
            "needs_background": "light"
          }
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "286.3  (s)\n"
          ]
        }
      ],
      "source": [
        "start = time.perf_counter()\n",
        "matrix_train = zz_kernel.evaluate(x_vec=sample_train)\n",
        "matrix_test = zz_kernel.evaluate(x_vec=sample_test, y_vec=sample_train)\n",
        "end = time.perf_counter()\n",
        "print(matrix_train.shape,matrix_test.shape)\n",
        "\n",
        "fig, axs = plt.subplots(1, 2, figsize=(10, 5))\n",
        "axs[0].imshow(np.asmatrix(np.log(matrix_train)),\n",
        "              interpolation='nearest', origin='upper', cmap='Blues')\n",
        "axs[0].set_title(\"training kernel matrix\")\n",
        "axs[1].imshow(np.asmatrix(matrix_test),\n",
        "              interpolation='nearest', origin='upper', cmap='Reds')\n",
        "axs[1].set_title(\"testing kernel matrix\")\n",
        "plt.show()\n",
        "\n",
        "print(round(end-start,2),' (s)')"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 46,
      "id": "2eb6e623",
      "metadata": {
        "tags": [],
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "2eb6e623",
        "outputId": "1dec1154-58b5-4a5c-accb-da3f7e3ebdb2"
      },
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "Precomputed kernel classification test score: 0.8065476190476191\n"
          ]
        }
      ],
      "source": [
        "zzpc_svc = SVC(kernel='precomputed')\n",
        "zzpc_svc.fit(matrix_train, label_train)\n",
        "zzpc_score = zzpc_svc.score(matrix_test, label_test)\n",
        "\n",
        "print(f'Precomputed kernel classification test score: {zzpc_score}')"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 47,
      "id": "18dc6f76",
      "metadata": {
        "tags": [],
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 487
        },
        "id": "18dc6f76",
        "outputId": "089aefc3-76fb-4a8f-e762-4c350aaa8de6"
      },
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 432x288 with 2 Axes>"
            ],
            "image/png": 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\n"
          },
          "metadata": {
            "needs_background": "light"
          }
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "Accuracy: 0.807\n",
            "F1 score: 0.799\n",
            "Sensitivity: 0.807\n",
            "Specificity: 0.808\n",
            "Confusion matrix:\n",
            "[[  0   0   0   0   0   0   0]\n",
            " [  0  16   7   1   0   4   0]\n",
            " [  0   1  18   4   0   1   0]\n",
            " [  0   0   1  74   3   0   0]\n",
            " [  0   1   0   2  37  18   0]\n",
            " [  0   0   0   0   7 117   4]\n",
            " [  0   0   0   0   0  11   9]]\n"
          ]
        }
      ],
      "source": [
        "from sklearn.metrics import accuracy_score, f1_score, recall_score, precision_score, confusion_matrix\n",
        "from sklearn.metrics import ConfusionMatrixDisplay\n",
        "import matplotlib.pyplot as plt\n",
        "\n",
        "# Obtain the predicted labels for the val data\n",
        "predicted_labels = zzpc_svc.predict(matrix_test)\n",
        "\n",
        "# Calculate the accuracy score using the true labels and the predicted labels\n",
        "accuracy = accuracy_score(label_test, predicted_labels)\n",
        "\n",
        "# Calculate the F1 score using the true labels and the predicted labels\n",
        "f1 = f1_score(label_test, predicted_labels, average='weighted')\n",
        "\n",
        "# Calculate the sensitivity and specificity scores using the true labels and the predicted labels\n",
        "sensitivity = recall_score(label_test, predicted_labels, average='weighted')\n",
        "specificity = precision_score(label_test, predicted_labels, average='weighted', zero_division=1)\n",
        "\n",
        "# Generate the confusion matrix using the true labels and the predicted labels\n",
        "cm = confusion_matrix(label_test, predicted_labels, labels=[0,1,2,3,4,5,6])\n",
        "\n",
        "# Define the dictionary to map integers to spectral types\n",
        "sp_type_dict = {0: 'O', 1: 'B', 2: 'A', 3: 'F', 4: 'G', 5: 'K', 6: 'M'}\n",
        "\n",
        "# Compute the confusion matrix\n",
        "matrix = confusion_matrix(label_test, predicted_labels, labels=[0, 1, 2, 3, 4, 5, 6])\n",
        "\n",
        "# Create the ConfusionMatrixDisplay object with updated labels\n",
        "cf = ConfusionMatrixDisplay(matrix, display_labels=[sp_type_dict[i] for i in range(7)])\n",
        "\n",
        "# Plot the confusion matrix\n",
        "cf.plot()\n",
        "plt.show()\n",
        "\n",
        "# Print the accuracy, F1 score, sensitivity, specificity, confusion matrix, and precomputed kernel classification val score\n",
        "print(f'Accuracy: {round(accuracy,3)}')\n",
        "print(f'F1 score: {round(f1,3)}')\n",
        "print(f'Sensitivity: {round(sensitivity,3)}')\n",
        "print(f'Specificity: {round(specificity,3)}')\n",
        "print(f'Confusion matrix:\\n{cm}')\n"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 48,
      "id": "cd77bd48",
      "metadata": {
        "tags": [],
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 578
        },
        "id": "cd77bd48",
        "outputId": "d28bb5e2-a170-4249-bc9f-376043990715"
      },
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "linear kernel classification test score:  0.84\n",
            "poly kernel classification test score:  0.86\n",
            "rbf kernel classification test score:  0.85\n",
            "sigmoid kernel classification test score:  0.67\n",
            "\n",
            "Accuracy: 0.857\n",
            "F1 score: 0.853\n",
            "Sensitivity: 0.857\n",
            "Specificity: 0.858\n",
            "Confusion matrix:\n",
            "[[  0   0   0   0   0   0   0]\n",
            " [  0  16   7   1   0   4   0]\n",
            " [  0   1  18   4   0   1   0]\n",
            " [  0   0   1  74   3   0   0]\n",
            " [  0   1   0   2  37  18   0]\n",
            " [  0   0   0   0   7 117   4]\n",
            " [  0   0   0   0   0  11   9]]\n"
          ]
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 432x288 with 2 Axes>"
            ],
            "image/png": 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\n"
          },
          "metadata": {
            "needs_background": "light"
          }
        }
      ],
      "source": [
        "import matplotlib.pyplot as plt\n",
        "from sklearn.metrics import confusion_matrix, accuracy_score, f1_score\n",
        "\n",
        "classical_kernels = ['linear', 'poly', 'rbf', 'sigmoid']\n",
        "\n",
        "best_kernel = None\n",
        "best_score = 0\n",
        "\n",
        "for kernel in classical_kernels:\n",
        "    classical_svc = SVC(kernel=kernel)\n",
        "    classical_svc.fit(sample_train, label_train)\n",
        "    classical_score = classical_svc.score(sample_test, label_test)\n",
        "\n",
        "    print('%s kernel classification test score:  %0.2f' % (kernel, classical_score))\n",
        "    \n",
        "    if classical_score > best_score:\n",
        "        best_kernel = kernel\n",
        "        best_score = classical_score\n",
        "\n",
        "# Train the SVC model with the best kernel.\n",
        "best_svc = SVC(kernel=best_kernel)\n",
        "best_svc.fit(sample_train, label_train)\n",
        "\n",
        "# Test the model on the test data.\n",
        "y_pred = best_svc.predict(sample_test)\n",
        "\n",
        "# Calculate the confusion matrix and performance metrics.\n",
        "\n",
        "accuracy = accuracy_score(label_test, y_pred)\n",
        "f1 = f1_score(label_test, y_pred, average='weighted')\n",
        "\n",
        "# Calculate the sensitivity and specificity scores using the true labels and the predicted labels\n",
        "sensitivity = recall_score(label_test, y_pred, average='weighted')\n",
        "specificity = precision_score(label_test, y_pred, average='weighted', zero_division=1)\n",
        "\n",
        "print()\n",
        "\n",
        "# Output the results.\n",
        "print(f'Accuracy: {round(accuracy,3)}')\n",
        "print(f'F1 score: {round(f1,3)}')\n",
        "print(f'Sensitivity: {round(sensitivity,3)}')\n",
        "print(f'Specificity: {round(specificity,3)}')\n",
        "print(f'Confusion matrix:\\n{cm}')\n",
        "\n",
        "# Generate the confusion matrix using the true labels and the predicted labels\n",
        "cm = confusion_matrix(label_test, y_pred, labels=[0,1,2,3,4,5,6])\n",
        "\n",
        "# Define the dictionary to map integers to spectral types\n",
        "sp_type_dict = {0: 'O', 1: 'B', 2: 'A', 3: 'F', 4: 'G', 5: 'K', 6: 'M'}\n",
        "\n",
        "# Compute the confusion matrix\n",
        "matrix = confusion_matrix(label_test, y_pred, labels=[0, 1, 2, 3, 4, 5, 6])\n",
        "\n",
        "# Create the ConfusionMatrixDisplay object with updated labels\n",
        "cf = ConfusionMatrixDisplay(matrix, display_labels=[sp_type_dict[i] for i in range(7)])\n",
        "\n",
        "# Plot the confusion matrix\n",
        "cf.plot()\n",
        "plt.show()"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 49,
      "id": "c600c932",
      "metadata": {
        "tags": [],
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 337
        },
        "id": "c600c932",
        "outputId": "9cd0bc3c-eb32-4c4a-90a9-3b826c4d4ddf"
      },
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<IPython.core.display.HTML object>"
            ],
            "text/html": [
              "<h3>Version Information</h3><table><tr><th>Qiskit Software</th><th>Version</th></tr><tr><td><code>qiskit-terra</code></td><td>0.23.2</td></tr><tr><td><code>qiskit-aer</code></td><td>0.11.2</td></tr><tr><td><code>qiskit-ibmq-provider</code></td><td>0.20.1</td></tr><tr><td><code>qiskit-machine-learning</code></td><td>0.5.0</td></tr><tr><th>System information</th></tr><tr><td>Python version</td><td>3.8.10</td></tr><tr><td>Python compiler</td><td>GCC 9.4.0</td></tr><tr><td>Python build</td><td>default, Nov 14 2022 12:59:47</td></tr><tr><td>OS</td><td>Linux</td></tr><tr><td>CPUs</td><td>1</td></tr><tr><td>Memory (Gb)</td><td>12.681190490722656</td></tr><tr><td colspan='2'>Tue Feb 28 15:00:27 2023 UTC</td></tr></table>"
            ]
          },
          "metadata": {}
        }
      ],
      "source": [
        "import qiskit.tools.jupyter\n",
        "%qiskit_version_table"
      ]
    }
  ],
  "metadata": {
    "kernelspec": {
      "display_name": "Python 3 (ipykernel)",
      "language": "python",
      "name": "python3"
    },
    "language_info": {
      "codemirror_mode": {
        "name": "ipython",
        "version": 3
      },
      "file_extension": ".py",
      "mimetype": "text/x-python",
      "name": "python",
      "nbconvert_exporter": "python",
      "pygments_lexer": "ipython3",
      "version": "3.10.9"
    },
    "papermill": {
      "default_parameters": {},
      "duration": 15.707135,
      "end_time": "2021-04-16T21:55:19.173965",
      "environment_variables": {},
      "exception": null,
      "input_path": "__notebook__.ipynb",
      "output_path": "__notebook__.ipynb",
      "parameters": {},
      "start_time": "2021-04-16T21:55:03.466830",
      "version": "2.3.2"
    },
    "colab": {
      "provenance": []
    }
  },
  "nbformat": 4,
  "nbformat_minor": 5
}