15_time_series_ryazhskikh_light.ipynb

{
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  "metadata": {
    "colab": {
      "name": "15_time_series_ryazhskikh_light.ipynb",
      "version": "0.3.2",
      "provenance": [],
      "collapsed_sections": [],
      "toc_visible": true,
      "include_colab_link": true
    },
    "kernelspec": {
      "name": "python3",
      "display_name": "Python 3"
    },
    "accelerator": "GPU"
  },
  "cells": [
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "view-in-github",
        "colab_type": "text"
      },
      "source": [
        "<a href=\"https://colab.research.google.com/github/darja/NeuralUni/blob/master/15_time_series_ryazhskikh_light.ipynb\" target=\"_parent\"><img src=\"https://colab.research.google.com/assets/colab-badge.svg\" alt=\"Open In Colab\"/></a>"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "hbf8UxqyDTrw",
        "colab_type": "text"
      },
      "source": [
        "# Применение сверточной сети для классификации активности человека\n",
        "Оптимизировать предложенную в шаблоне архитектуру сети изменяя: \n",
        "1. Количество фильтров в сверточных слоях \n",
        "2. Добавляя дропаут после сверточных слоев и подбирая его процент \n",
        "3. Активации нейронов \n",
        "4. Оптимизатор и его параметры \n",
        "5. Stride в свертках \n",
        "\n",
        "Опционально: Реализовать MLP или ResNet архитектуру из лекции для решения этой задачи."
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "ODs9cf4RtWwV",
        "colab_type": "text"
      },
      "source": [
        "## Подготовка окружения"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "9shfJSRaQvQ_",
        "colab_type": "code",
        "colab": {}
      },
      "source": [
        "import pandas as pd\n",
        "import numpy as np\n",
        "import matplotlib.pyplot as plt\n",
        "from sklearn.model_selection import train_test_split\n",
        "from sklearn.preprocessing import OneHotEncoder\n",
        "\n",
        "from tensorflow.keras.models import Model\n",
        "from tensorflow.keras import layers\n",
        "from tensorflow.keras import optimizers\n",
        "from tensorflow.keras import regularizers\n",
        "from tensorflow.keras import callbacks"
      ],
      "execution_count": 0,
      "outputs": []
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "8bc0WNRctsib",
        "colab_type": "text"
      },
      "source": [
        "## Загрузка данных"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "cycSCCAvvI_m",
        "colab_type": "text"
      },
      "source": [
        "### Подключение Google Drive"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "YUYHtO_7QmB4",
        "colab_type": "code",
        "outputId": "32296e95-4e22-4646-c09a-720c0eae61de",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 122
        }
      },
      "source": [
        "from google.colab import drive\n",
        "drive.mount('/content/gdrive')"
      ],
      "execution_count": 2,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "Go to this URL in a browser: https://accounts.google.com/o/oauth2/auth?client_id=947318989803-6bn6qk8qdgf4n4g3pfee6491hc0brc4i.apps.googleusercontent.com&redirect_uri=urn%3Aietf%3Awg%3Aoauth%3A2.0%3Aoob&scope=email%20https%3A%2F%2Fwww.googleapis.com%2Fauth%2Fdocs.test%20https%3A%2F%2Fwww.googleapis.com%2Fauth%2Fdrive%20https%3A%2F%2Fwww.googleapis.com%2Fauth%2Fdrive.photos.readonly%20https%3A%2F%2Fwww.googleapis.com%2Fauth%2Fpeopleapi.readonly&response_type=code\n",
            "\n",
            "Enter your authorization code:\n",
            "··········\n",
            "Mounted at /content/gdrive\n"
          ],
          "name": "stdout"
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "9xuLb5qXvRl8",
        "colab_type": "text"
      },
      "source": [
        "### Чтение данных"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "bK-cmjQbRqP-",
        "colab_type": "code",
        "colab": {}
      },
      "source": [
        "# Загружаем данные\n",
        "data = np.load('/content/gdrive/My Drive/neural/accelerometer.npz')\n",
        "X = data['a'][:,:,:3]\n",
        "label = data['a'][:,-1,3]"
      ],
      "execution_count": 0,
      "outputs": []
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "EhatF0qrwagM",
        "colab_type": "text"
      },
      "source": [
        "### Демонстрация данных"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "LRf8X0U9viqW",
        "colab_type": "text"
      },
      "source": [
        "Данные содержат 2-х секундные показания (частота семплирования 52 Гц) акселерометра закрепленного на груди у человека.\n",
        "1, 2 и 3 признаки - это составляющие вектора ускорения вдоль осей x, y, z соответсвенно.\n",
        "Датасет содержит измерения для 15 разных людей\n"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "1sy2LtKtSRzv",
        "colab_type": "code",
        "outputId": "d4bc3328-6526-4598-a5b7-91a901931ad6",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 34
        }
      },
      "source": [
        "X.shape"
      ],
      "execution_count": 5,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "(6435, 104, 3)"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 5
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "j6SeWFDiyHTY",
        "colab_type": "code",
        "colab": {}
      },
      "source": [
        "X[0]"
      ],
      "execution_count": 0,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "9pgZ3hSbiaJG",
        "colab_type": "code",
        "outputId": "cfac4b1f-d381-409c-ea45-5bc07ba6af60",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 286
        }
      },
      "source": [
        "plt.plot(label)"
      ],
      "execution_count": 6,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "[<matplotlib.lines.Line2D at 0x7f0474bb47b8>]"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 6
        },
        {
          "output_type": "display_data",
          "data": {
            "image/png": 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IlPlLWfdzySBXYNAqa5u5+5DbRg3jpq6Nmdos45o7leOO+JhzbkcwSwzDMIxU2FRJAsLj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\nHvRO8TxepAAAAABJRU5ErkJggg==\n",
            "text/plain": [
              "<Figure size 432x288 with 1 Axes>"
            ]
          },
          "metadata": {
            "tags": []
          }
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "2i3GJIIzV9J4",
        "colab_type": "code",
        "outputId": "f2678671-8976-4c70-ee00-0b0bae9d5387",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 35
        }
      },
      "source": [
        "label.shape"
      ],
      "execution_count": 0,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "(6435,)"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 5
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "cAZNXWmowWf4",
        "colab_type": "text"
      },
      "source": [
        "### Подготовка данных для обучения"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "69p_VMpHWIfR",
        "colab_type": "code",
        "colab": {}
      },
      "source": [
        "# Разбиение на тестовую и обучающую выборки (random_state фиксирован для повторяемости результатов)\n",
        "X_train, X_test, y_train, y_test = train_test_split(X, label, test_size=0.2, random_state=999)\n",
        "\n",
        "# One-Hot Encoding\n",
        "enc = OneHotEncoder(handle_unknown='ignore',sparse=False)\n",
        "y_train = enc.fit_transform(y_train.reshape(-1, 1))\n",
        "y_test = enc.transform(y_test.reshape(-1, 1))\n",
        "\n",
        "# Перекодируем категории в названия действий\n",
        "categories = ['Working at Computer', 'Walking', 'Talking while Standing']\n",
        "enc.categories_ = categories"
      ],
      "execution_count": 0,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "nQin2zFHzGm-",
        "colab_type": "code",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 51
        },
        "outputId": "f6d1b6f8-dde3-4cec-e82a-9450394974f1"
      },
      "source": [
        "print(\"Train dataset shape: \", X_train.shape)\n",
        "print(\"Test dataset shape: \", X_test.shape)"
      ],
      "execution_count": 8,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "Train dataset shape:  (5148, 104, 3)\n",
            "Test dataset shape:  (1287, 104, 3)\n"
          ],
          "name": "stdout"
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "DxkPnqCNwo-l",
        "colab_type": "text"
      },
      "source": [
        "## Обучение нейросети"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "TD-wxTBvcoME",
        "colab_type": "code",
        "colab": {}
      },
      "source": [
        "# Полезные константы\n",
        "lenght = X_train.shape[1]\n",
        "num_features = X_train.shape[2]\n",
        "num_classes = len(enc.categories_)\n",
        "lstm_cells = 100\n",
        "nb_epochs = 50\n",
        "batch_size = 128"
      ],
      "execution_count": 0,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "-YFgFfLtdhPa",
        "colab_type": "code",
        "outputId": "a4b3601a-f949-42a2-dc8c-f52f379b85e9",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 2802
        }
      },
      "source": [
        "# Коллбэки\n",
        "model_callbacks = [\n",
        "    callbacks.ReduceLROnPlateau(monitor='val_loss', factor=0.2, patience=3, min_lr=0.00005, verbose=1)\n",
        "]\n",
        "\n",
        "# Входные данные\n",
        "inp = layers.Input((lenght, num_features))\n",
        "\n",
        "# Ветка LSTM\n",
        "lstm = layers.LSTM(lstm_cells)(inp)\n",
        "lstm = layers.Dropout(0.8)(lstm)\n",
        "\n",
        "# Ветка fcm\n",
        "fcm = layers.BatchNormalization()(inp)\n",
        "fcm = layers.Conv1D(32, 8, 2, padding='same')(fcm)\n",
        "fcm = layers.BatchNormalization()(fcm)\n",
        "# fcm = layers.Dropout(0.2)(fcm)\n",
        "fcm = layers.Activation('relu')(fcm)\n",
        "    \n",
        "fcm = layers.Conv1D(64, 5, 2, padding='same')(fcm)\n",
        "fcm = layers.BatchNormalization()(fcm)\n",
        "fcm = layers.Dropout(0.1)(fcm)\n",
        "fcm = layers.Activation('relu')(fcm)\n",
        "    \n",
        "fcm = layers.Conv1D(32, 3, 2, padding='same')(fcm)\n",
        "fcm = layers.BatchNormalization()(fcm)\n",
        "# fcm = layers.Dropout(0.1)(fcm)\n",
        "fcm = layers.Activation('relu')(fcm)\n",
        "    \n",
        "fcm = layers.GlobalAveragePooling1D()(fcm)\n",
        "\n",
        "total = layers.Concatenate()([lstm, fcm])\n",
        "\n",
        "out = layers.Dense(num_classes, activation='softmax')(total)\n",
        "\n",
        "model = Model(inputs=inp, outputs=out)\n",
        "     \n",
        "optimizer = optimizers.Adam(lr=0.005)\n",
        "model.compile(loss='categorical_crossentropy', optimizer=optimizer,metrics=['accuracy'])\n",
        "\n",
        "model.summary()\n",
        "\n",
        "# Обучаем. Данные шумные, так что метрика на валидации не сразу начнет улучшаться\n",
        "hist = model.fit(X_train, y_train, batch_size=batch_size, epochs=nb_epochs, verbose=1, validation_data=(X_test, y_test), callbacks=model_callbacks)"
      ],
      "execution_count": 84,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "__________________________________________________________________________________________________\n",
            "Layer (type)                    Output Shape         Param #     Connected to                     \n",
            "==================================================================================================\n",
            "input_29 (InputLayer)           (None, 104, 3)       0                                            \n",
            "__________________________________________________________________________________________________\n",
            "batch_normalization_v1_106 (Bat (None, 104, 3)       12          input_29[0][0]                   \n",
            "__________________________________________________________________________________________________\n",
            "conv1d_79 (Conv1D)              (None, 52, 32)       800         batch_normalization_v1_106[0][0] \n",
            "__________________________________________________________________________________________________\n",
            "batch_normalization_v1_107 (Bat (None, 52, 32)       128         conv1d_79[0][0]                  \n",
            "__________________________________________________________________________________________________\n",
            "activation_78 (Activation)      (None, 52, 32)       0           batch_normalization_v1_107[0][0] \n",
            "__________________________________________________________________________________________________\n",
            "conv1d_80 (Conv1D)              (None, 26, 64)       10304       activation_78[0][0]              \n",
            "__________________________________________________________________________________________________\n",
            "batch_normalization_v1_108 (Bat (None, 26, 64)       256         conv1d_80[0][0]                  \n",
            "__________________________________________________________________________________________________\n",
            "dropout_64 (Dropout)            (None, 26, 64)       0           batch_normalization_v1_108[0][0] \n",
            "__________________________________________________________________________________________________\n",
            "activation_79 (Activation)      (None, 26, 64)       0           dropout_64[0][0]                 \n",
            "__________________________________________________________________________________________________\n",
            "conv1d_81 (Conv1D)              (None, 13, 32)       6176        activation_79[0][0]              \n",
            "__________________________________________________________________________________________________\n",
            "batch_normalization_v1_109 (Bat (None, 13, 32)       128         conv1d_81[0][0]                  \n",
            "__________________________________________________________________________________________________\n",
            "lstm_28 (LSTM)                  (None, 100)          41600       input_29[0][0]                   \n",
            "__________________________________________________________________________________________________\n",
            "activation_80 (Activation)      (None, 13, 32)       0           batch_normalization_v1_109[0][0] \n",
            "__________________________________________________________________________________________________\n",
            "dropout_63 (Dropout)            (None, 100)          0           lstm_28[0][0]                    \n",
            "__________________________________________________________________________________________________\n",
            "global_average_pooling1d_26 (Gl (None, 32)           0           activation_80[0][0]              \n",
            "__________________________________________________________________________________________________\n",
            "concatenate_26 (Concatenate)    (None, 132)          0           dropout_63[0][0]                 \n",
            "                                                                 global_average_pooling1d_26[0][0]\n",
            "__________________________________________________________________________________________________\n",
            "dense_26 (Dense)                (None, 3)            399         concatenate_26[0][0]             \n",
            "==================================================================================================\n",
            "Total params: 59,803\n",
            "Trainable params: 59,541\n",
            "Non-trainable params: 262\n",
            "__________________________________________________________________________________________________\n",
            "Train on 5148 samples, validate on 1287 samples\n",
            "Epoch 1/50\n",
            "5148/5148 [==============================] - 13s 3ms/sample - loss: 0.7095 - acc: 0.7075 - val_loss: 11.0460 - val_acc: 0.3147\n",
            "Epoch 2/50\n",
            "5148/5148 [==============================] - 8s 2ms/sample - loss: 0.4118 - acc: 0.8432 - val_loss: 11.0460 - val_acc: 0.3147\n",
            "Epoch 3/50\n",
            "5148/5148 [==============================] - 9s 2ms/sample - loss: 0.3968 - acc: 0.8471 - val_loss: 11.0460 - val_acc: 0.3147\n",
            "Epoch 4/50\n",
            "5148/5148 [==============================] - 8s 2ms/sample - loss: 0.3519 - acc: 0.8650 - val_loss: 10.9555 - val_acc: 0.3147\n",
            "Epoch 5/50\n",
            "5148/5148 [==============================] - 8s 2ms/sample - loss: 0.3479 - acc: 0.8631 - val_loss: 9.9981 - val_acc: 0.3186\n",
            "Epoch 6/50\n",
            "5148/5148 [==============================] - 8s 2ms/sample - loss: 0.3250 - acc: 0.8780 - val_loss: 7.8032 - val_acc: 0.3310\n",
            "Epoch 7/50\n",
            "5148/5148 [==============================] - 8s 2ms/sample - loss: 0.3102 - acc: 0.8805 - val_loss: 4.0572 - val_acc: 0.3349\n",
            "Epoch 8/50\n",
            "5148/5148 [==============================] - 8s 2ms/sample - loss: 0.3242 - acc: 0.8757 - val_loss: 2.6446 - val_acc: 0.4577\n",
            "Epoch 9/50\n",
            "5148/5148 [==============================] - 8s 2ms/sample - loss: 0.3044 - acc: 0.8850 - val_loss: 1.6094 - val_acc: 0.5765\n",
            "Epoch 10/50\n",
            "5148/5148 [==============================] - 8s 2ms/sample - loss: 0.2764 - acc: 0.8986 - val_loss: 1.1241 - val_acc: 0.6706\n",
            "Epoch 11/50\n",
            "5148/5148 [==============================] - 8s 2ms/sample - loss: 0.2898 - acc: 0.8899 - val_loss: 0.6995 - val_acc: 0.7723\n",
            "Epoch 12/50\n",
            "5148/5148 [==============================] - 9s 2ms/sample - loss: 0.2932 - acc: 0.8784 - val_loss: 0.3371 - val_acc: 0.8788\n",
            "Epoch 13/50\n",
            "5148/5148 [==============================] - 9s 2ms/sample - loss: 0.2640 - acc: 0.9011 - val_loss: 0.3284 - val_acc: 0.8741\n",
            "Epoch 14/50\n",
            "5148/5148 [==============================] - 8s 2ms/sample - loss: 0.2639 - acc: 0.9027 - val_loss: 0.2855 - val_acc: 0.9005\n",
            "Epoch 15/50\n",
            "5148/5148 [==============================] - 8s 2ms/sample - loss: 0.2611 - acc: 0.9068 - val_loss: 0.3100 - val_acc: 0.8788\n",
            "Epoch 16/50\n",
            "5148/5148 [==============================] - 8s 2ms/sample - loss: 0.2787 - acc: 0.8982 - val_loss: 0.2822 - val_acc: 0.8990\n",
            "Epoch 17/50\n",
            "5148/5148 [==============================] - 8s 2ms/sample - loss: 0.2570 - acc: 0.9015 - val_loss: 0.2825 - val_acc: 0.9029\n",
            "Epoch 18/50\n",
            "5148/5148 [==============================] - 8s 2ms/sample - loss: 0.2406 - acc: 0.9079 - val_loss: 0.2520 - val_acc: 0.9169\n",
            "Epoch 19/50\n",
            "5148/5148 [==============================] - 8s 2ms/sample - loss: 0.2259 - acc: 0.9165 - val_loss: 0.3208 - val_acc: 0.8765\n",
            "Epoch 20/50\n",
            "5148/5148 [==============================] - 8s 2ms/sample - loss: 0.2609 - acc: 0.9038 - val_loss: 0.2876 - val_acc: 0.8951\n",
            "Epoch 21/50\n",
            "5120/5148 [============================>.] - ETA: 0s - loss: 0.2296 - acc: 0.9156\n",
            "Epoch 00021: ReduceLROnPlateau reducing learning rate to 0.0009999999776482583.\n",
            "5148/5148 [==============================] - 14s 3ms/sample - loss: 0.2311 - acc: 0.9149 - val_loss: 0.2587 - val_acc: 0.9106\n",
            "Epoch 22/50\n",
            "5148/5148 [==============================] - 9s 2ms/sample - loss: 0.2238 - acc: 0.9225 - val_loss: 0.2264 - val_acc: 0.9270\n",
            "Epoch 23/50\n",
            "5148/5148 [==============================] - 8s 2ms/sample - loss: 0.2025 - acc: 0.9250 - val_loss: 0.2202 - val_acc: 0.9293\n",
            "Epoch 24/50\n",
            "5148/5148 [==============================] - 8s 2ms/sample - loss: 0.2072 - acc: 0.9229 - val_loss: 0.2178 - val_acc: 0.9301\n",
            "Epoch 25/50\n",
            "5148/5148 [==============================] - 8s 2ms/sample - loss: 0.1985 - acc: 0.9287 - val_loss: 0.2131 - val_acc: 0.9270\n",
            "Epoch 26/50\n",
            "5148/5148 [==============================] - 8s 2ms/sample - loss: 0.1963 - acc: 0.9297 - val_loss: 0.2057 - val_acc: 0.9402\n",
            "Epoch 27/50\n",
            "5148/5148 [==============================] - 8s 2ms/sample - loss: 0.1857 - acc: 0.9359 - val_loss: 0.2079 - val_acc: 0.9324\n",
            "Epoch 28/50\n",
            "5148/5148 [==============================] - 8s 2ms/sample - loss: 0.1993 - acc: 0.9287 - val_loss: 0.2097 - val_acc: 0.9293\n",
            "Epoch 29/50\n",
            "5120/5148 [============================>.] - ETA: 0s - loss: 0.1877 - acc: 0.9328\n",
            "Epoch 00029: ReduceLROnPlateau reducing learning rate to 0.0001999999862164259.\n",
            "5148/5148 [==============================] - 8s 2ms/sample - loss: 0.1876 - acc: 0.9328 - val_loss: 0.2057 - val_acc: 0.9301\n",
            "Epoch 30/50\n",
            "5148/5148 [==============================] - 8s 2ms/sample - loss: 0.1881 - acc: 0.9303 - val_loss: 0.1983 - val_acc: 0.9394\n",
            "Epoch 31/50\n",
            "5148/5148 [==============================] - 9s 2ms/sample - loss: 0.1882 - acc: 0.9334 - val_loss: 0.1957 - val_acc: 0.9409\n",
            "Epoch 32/50\n",
            "5148/5148 [==============================] - 9s 2ms/sample - loss: 0.1830 - acc: 0.9336 - val_loss: 0.1967 - val_acc: 0.9394\n",
            "Epoch 33/50\n",
            "5148/5148 [==============================] - 8s 2ms/sample - loss: 0.1756 - acc: 0.9376 - val_loss: 0.1971 - val_acc: 0.9386\n",
            "Epoch 34/50\n",
            "5148/5148 [==============================] - 8s 2ms/sample - loss: 0.1728 - acc: 0.9363 - val_loss: 0.1944 - val_acc: 0.9394\n",
            "Epoch 35/50\n",
            "5148/5148 [==============================] - 8s 2ms/sample - loss: 0.1858 - acc: 0.9312 - val_loss: 0.1939 - val_acc: 0.9371\n",
            "Epoch 36/50\n",
            "5148/5148 [==============================] - 8s 2ms/sample - loss: 0.1820 - acc: 0.9338 - val_loss: 0.1931 - val_acc: 0.9378\n",
            "Epoch 37/50\n",
            "5148/5148 [==============================] - 8s 2ms/sample - loss: 0.1778 - acc: 0.9353 - val_loss: 0.1949 - val_acc: 0.9386\n",
            "Epoch 38/50\n",
            "5148/5148 [==============================] - 8s 2ms/sample - loss: 0.1838 - acc: 0.9340 - val_loss: 0.1940 - val_acc: 0.9386\n",
            "Epoch 39/50\n",
            "5120/5148 [============================>.] - ETA: 0s - loss: 0.1842 - acc: 0.9340\n",
            "Epoch 00039: ReduceLROnPlateau reducing learning rate to 5e-05.\n",
            "5148/5148 [==============================] - 8s 2ms/sample - loss: 0.1848 - acc: 0.9338 - val_loss: 0.1933 - val_acc: 0.9394\n",
            "Epoch 40/50\n",
            "5148/5148 [==============================] - 8s 2ms/sample - loss: 0.1820 - acc: 0.9343 - val_loss: 0.1926 - val_acc: 0.9386\n",
            "Epoch 41/50\n",
            "5148/5148 [==============================] - 9s 2ms/sample - loss: 0.1941 - acc: 0.9283 - val_loss: 0.1916 - val_acc: 0.9417\n",
            "Epoch 42/50\n",
            "5148/5148 [==============================] - 8s 2ms/sample - loss: 0.1679 - acc: 0.9411 - val_loss: 0.1923 - val_acc: 0.9394\n",
            "Epoch 43/50\n",
            "5148/5148 [==============================] - 8s 2ms/sample - loss: 0.1679 - acc: 0.9392 - val_loss: 0.1921 - val_acc: 0.9402\n",
            "Epoch 44/50\n",
            "5148/5148 [==============================] - 8s 2ms/sample - loss: 0.1783 - acc: 0.9340 - val_loss: 0.1924 - val_acc: 0.9402\n",
            "Epoch 45/50\n",
            "5148/5148 [==============================] - 8s 2ms/sample - loss: 0.1784 - acc: 0.9343 - val_loss: 0.1924 - val_acc: 0.9394\n",
            "Epoch 46/50\n",
            "5148/5148 [==============================] - 8s 2ms/sample - loss: 0.1672 - acc: 0.9411 - val_loss: 0.1921 - val_acc: 0.9394\n",
            "Epoch 47/50\n",
            "5148/5148 [==============================] - 8s 2ms/sample - loss: 0.1685 - acc: 0.9380 - val_loss: 0.1915 - val_acc: 0.9394\n",
            "Epoch 48/50\n",
            "5148/5148 [==============================] - 8s 2ms/sample - loss: 0.1738 - acc: 0.9378 - val_loss: 0.1908 - val_acc: 0.9409\n",
            "Epoch 49/50\n",
            "5148/5148 [==============================] - 8s 2ms/sample - loss: 0.1943 - acc: 0.9268 - val_loss: 0.1919 - val_acc: 0.9402\n",
            "Epoch 50/50\n",
            "5148/5148 [==============================] - 8s 2ms/sample - loss: 0.1748 - acc: 0.9384 - val_loss: 0.1918 - val_acc: 0.9402\n"
          ],
          "name": "stdout"
        },
        {
          "output_type": "display_data",
          "data": {
            "image/png": 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TqhdhhfpG4FpjzM4O2yQBFcYYh4g8BLQYY35zsv1qyx32HK7hZ69tZXdRDVdnp/Lfl6Wf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\nB6o+jU2kDko7AAAAAElFTkSuQmCC\n",
            "text/plain": [
              "<Figure size 432x288 with 1 Axes>"
            ]
          },
          "metadata": {
            "tags": []
          }
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "E5fSC5e_iw_O",
        "colab_type": "text"
      },
      "source": [
        "### График обучения"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "817Pr-2GiwBV",
        "colab_type": "code",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 269
        },
        "outputId": "e5405c8b-0dd3-437c-d1c5-1dd74ecb42c4"
      },
      "source": [
        "# График\n",
        "plt.plot(hist.history[\"acc\"], label='Training accuracy')\n",
        "plt.plot(hist.history[\"val_acc\"], label='Validation accuracy')\n",
        "plt.legend()\n",
        "plt.show()"
      ],
      "execution_count": 97,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "image/png": 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TqhdhhfpG4FpjzM4O2yQBFcYYh4g8BLQYY35zsv1qyx32HK7hZ69tZXdRDVdnp/Lfl6Wf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\nB6o+jU2kDko7AAAAAElFTkSuQmCC\n",
            "text/plain": [
              "<Figure size 432x288 with 1 Axes>"
            ]
          },
          "metadata": {
            "tags": []
          }
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "88LtZtoeAzRI",
        "colab_type": "text"
      },
      "source": [
        "# Визуальная проверка предсказания"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "apm078iCvx1x",
        "colab_type": "code",
        "colab": {}
      },
      "source": [
        "prediction = model.predict(X_test)\n",
        "prediction = np.argmax(prediction, axis=1)\n",
        "\n",
        "expected = np.argmax(y_test, axis=1)"
      ],
      "execution_count": 0,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "lewGHM3PiSL5",
        "colab_type": "code",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 595
        },
        "outputId": "002b266f-8614-42da-ae03-57ee7b73e889"
      },
      "source": [
        "plt.figure(figsize=(20,10)) \n",
        "plt.plot(prediction[:100], label=\"Prediction\")\n",
        "plt.plot(expected[:100], label=\"Expected\")\n",
        "plt.legend()\n",
        "plt.show()"
      ],
      "execution_count": 96,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "image/png": 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0WBIduCSq0rct2BhoStXtyzrdNhHZsoRhzNIqrHhVYjV7n9G+3/LbptDCt4vS\nzW2iOo7MYDL2d4+TRY6EybnvsCr0rOy76xWAav4UjZxFMeIO1hS0sZIwWTkX+0pelaEd7Cwi95Hv\n80JTjEm0e86iIBbtMFQOsVN29Q6dRUyXYhHtlqzKpGjhLLKTm9mCMPMMU5imYhF329KUuu1wRzbr\nPtClG881siaW+s75mYXruzuO1CrcVUZEU+rHrnD0kEqLRFfBrPXv6PtBOrLzQxfduaqA4F1adNfK\nMF2dj66pst8alKEBwBSps86AkZpdU9QlcNOIdIelm1tEXBPbJyN/Yz2ufVbiqJR4nJdiQBfd0NqU\noaGjMrR6yfbY41ivgzYB15Rr5Pu8qDraBmdRYJcQO5htUIXWdWFX1xI5IkwKDa1Xn+TIWdQksygi\n2/kWjHVmJtDxsNFrNY+dLtjomqnv1G47XXYQdE3dWWc8O4vo2nM599C57dvpZmplb8rR4pxEDmch\nvEVdLPI779GObydlaNbNtEvZL2xurDezJGNWwtCsBGzKMmdiUb2N+mS0mc4i6ui0DfeZLklMXSy6\n39vnTmuOtcS4KkOzziKt/Tc3smW8jcrQRNJJCWw92Hq6oY7BpkjdogyNAq49u0ir/M7gLArsEtQ5\nZBtybJpi7GKxiw45TOWQNibMhbuIxKIsaiAWUcB1z8vQinyKhCmgoVhkeOS05JDeq75Tu+2YqnSz\n/0JjvQzNeA6FroRqh8eRdjNd2f6bMu/acXMtkLPIVf4CrwkI9S54PqAd3y7Knek4sh26r9fLMIt8\nM3/vtmVoU545cwwmZoKxKZ8B8g0Vi6pOWltwn+mSVNfH2p/bhETIsUmQOprD6RnXGEA52GBthcqh\nDIOIGkT7irjKxvNJWruup5N+O4talaFZQamQnsUiihJoICBuG0Es2mGqHe4tcJs0pXJJdFQeIE0p\n7LgQiyaFQhZz8AbdA6juuu8uMrLasqSpWBQ7tQfTNZM4CuHtBdq9I6YrVK0M01UeSFMqW7vDnfNK\nvHSU89OYNTg5yAkT2xDeld+vJiD4zmqbLXw7EIuqMrTdcRaJHjiLqoD7hp10CpY5CwpOzRT3srKD\naOE52L8pVH4aytBWI8VsrHOPY02fdS87xVknNuqGBsycJ97QRbW5exCMlwKw72y8rHZdT3tfhkbd\n0BqUodk1j+9zomr20rCUeJsIYtEOs5NlaNL9gq0pXEsUsGJR7sJZJDFMmt3MqpC+nudYTO3uFUv2\nmv0Aj5zag0l4qlu9t51K5OhAYHVNXTRgnjuIYQ1CdVSJl57Px5qzSDkq8aovEl2E8NZL81x9x6Zs\ngli0S2VodQeO2tBcPnL1Nu0kgKn7AAAgAElEQVSkU4gMsaNsvMxMcDx6SPm+G+pAGHR4zWwTAzOt\nxtpnPlU+Lufs49FDMMDESdB8fVPVd5gx0xISDTtoivI53Gc2ntEaA9THejMdg02RLZxFlFnkPeCa\n8jub5FhtGUEs2mGqxd8OiUXU4aCTMjRdoHBYhjbOdaNOaACQ2Mwi0/MyNNo94W2cRQ4fPqnjhSub\ndS+gMrRtEItqO39c+hVYqAzN5XGMuxIvi7oQ4+ZaEDUh28Uipx5CLwu/x4d21ru4Zug4ct3vub4N\noj7WjrrzuUYXzbsrAYAUA8SOrusMOUZ2USk30FlktEaG7ko3twUlJVJWzMbaYy4fnVej6CEQzCB3\nUPpb31T13SadqRwFa7YZC+sW9Dn3TKdjcGY2+rpuQ94i4DqpxCK/5wR1tG0Uer5lBLFoh6keZHvu\nNmkDuSS6aLHLzWynYuTAWTQuZKNOaEBtcuv5bvPULiKjrJmzyAi3ZWjk5Mh2yVmku3PjuUbXXAfC\nd0i5Dcx0tRgyWiNi5RzmW7zkslb248jJUXcWuQjhrYfQ+3Sb0I4vgE5CT3fRWRTPOYs2VCwiZ2HD\ncFQlBkgdOAbz6QQxU8jTh5Xv6zvYvwHT6RiClQu/4CxanrGdN/P0VACA8ugiI7GCzrOJA3do/TlZ\nenaRQMvmZWiCytD8CfR0fOl4910sqsrQGjmLbBmab2dRNYeHzKLADlEt/tQO3ZxrLipXi5ym1MvQ\nRvnqx3yUq0ad0ABAWJss67mLrLBWW5EeavR6xmMkDoVBEp4GmHoXGzuDRI4tcBbVA959dxAjUd6V\ngFB/MB14Fi/reU+uQvPrYpGLEN56CY+rjm1NmE5G4LTw7cJZZI/jLmW/1NuFb2oZGjkLeUOxSEeD\nuW5HyzK2i0qVlYtKvYFiUV1Y2IZsvK4gkV0NrFjk01k0LYUpOs/GDubwuTI0z/k0TEuohmVoJBb5\nzMarxtoebzr+fUVqKkNr0w3Nd+g5laGFzKLADkGLFrZLzqLa7+qzvhgAuCmgUE4yEydlaApZwzI0\nxjlyE839/n2kmJSL1DbOIgBQDgRRJWVprzYRIqa97iJ1ij1nXIpuXUHOotxE3kOhmXIrFlGQb24i\nZJ7FSy7HmJpSgHb1gCyMRG7f00UIb6wn1ftpjyL5xJbK5ibqxI1Hrcd3yVmUmNlY+xQG20BzT9MS\nBh0NkGJ1lxS5cbH3iPJ9c8+OygZMxrVrZgs2JbpiOrLz5rAUi3yOtZ7az7LnmYtS4nGuqpIj3y4S\nrgvIhmVozArAPrPxpmM71nRdTzfvum5D0cJZFHd0TlT5naEbWmCXoLyLXWqxW3cW5Z6zDbiWMNbh\n46YMrbmzCAAkRO+dRXJS7qYkg2bOIqold9FdiTpdHGOlUDV2YLPuA6xDN55ryAVzjO35D4XWbktg\nqUX4MbYHwQymU39OKS5HuB9lbpirxbkwsrq2XITwJmZSvZ+rXKUm0I7vMbbXSTaegM0s2qEW5Kmu\njfWG5vLR3NO0DM3EQwwclJdOR/cDAPjhclGJDRSLKIvwGNsLYtEK5OP5sTa5P2eRtp9Fn+1CLBrl\nEkcGdgPBe8B1AdVULLKbkj6z8SjQmo639jjW64DGt1E3tI4CrqvcySAWBXYFJWVllccO2dXrYpHP\nBQRgywNsi00X3dDGLcrQAECyqPcuMmUfdOOsYRmaFedcuIDIiTayi5Kpx04jndKhG881Ws3GMPbt\nLKo5Pdycj+X8RefjZN/f+cjlBPeb8nO1IwFRQFa/i4v8hdRMq/fzKSDQju+I7XWSjUdlaGKHnEUp\nZmOtN3WOalvCkAwRM7XyRkduz8d472FQhsEUmycWkTg8YntbkY3XFTTWSSUW+dtAMPbZLDnySABu\n3KGTQuNIZvOAPIcZcyOhGmcWWWeRx820wj5/0vE2GygCt4Eyi5p0Q4u5LUPzfE6gchaFMrTAjlDU\nhJK+u03aUF+w+c424EZWZVEuuqGNWpShASg7sfV8AUF5C+mwqVhE9uDVFxD0HmNRfjbt2G47rkWO\nLqFypLE45CQ8tg1sTnRbXaim+YvOx4nH1rlCjXHMOou0I2eqMLL6XVxkbWRmUr2f8TjX044vfbZv\nNx6Voe1SZtHATGfnzoa6H2nuieOs0etZXF5foxUdrEWtKcQY2Vze2KZALpSxOBScRStAols8PAVT\nEwOFR7dJMYI2DNmRh5d/XHEzTSqNXGkcHljXju9uaFo2dhbxyMYdeHw+og2V7MjDoQ0DNvC6bkOh\nm3dD66oMrcrvDN3QArtCfbeK99xt0orawsZFaVIbIiMru2oXZWgKovclhyQWDYaHm/1AZQ92V4Y2\nicrPJuv8tlM/Z6SDdrhdYuzD3CQ6XLVq9kVdlKcSslWgNr1dnI9CjnC/sWKRI4dmZGT1u6wawksd\nyej9fDqLaJFEn114vmZosS12pAyN2oVX586GdkMzVIbWcKHBEutgXTEouBIQskOYsHSuk+GmIGvX\nzDZk43UFCQjJ4BDGLAX3KCCwYoQxUiQDO+euGLg8shuqR7JSsMl9ZxaZ5mVovMos8jf3UKB1MjiM\nMdKNFIHbUEjKLGpShtaNs4jK0OJQhhbYFeoKONuhHcj67r7vbAOOmVjkqgxt0MJZJFnU+7EmC31T\nZxF3KBZRCVZhFyV9b1XalC7deK6hgMIiOuy93Xz92nPjLCrfg85HFzk/zT64gDAS96NczBpHzlQB\nVf0uqwazFkVehtBXAoK/85bmhWpcPIaeAjOxiO9IOQ91XarGelM3RDSVoTUTi0RairGrljvLKZVu\n72HKUnDfXSAboPL5a6bv2XhdQY7MJNvDFCmY9CdUMznGhKVIbPMRtWLg8sQ+Ix+pnEWey3m1hG7p\nLPLZSIGOb5LtYcJSsA28rtsgtQZjgODNA64L36KyLiANBxfN113bQhCLdhRZE0p2qWtK/Xf1nW0g\njIThMbKYr1yGprXBuFAYJM1uZgCgEIH3fazzEZRhSNNBo5e77FJB76ESz4vzjnEtcnQJCRsqOYwh\nm0IrfwtqPidUOzgf5fz56CJQtBFWsL3flNegqwfkCLL6XVYN4a3ahdv3Mx4FhKqFtP1s39l4lPki\ner4x0JSqhXRCwuBm/t7GljAkSbNdaZ6WGyL5is4iZe9TyfAwcjaA2MBFJQmsNIZ9z8brCnJkJsND\nmPIMwqOLTBQjTFmGbEjOotU208h9T84i6blNOjcSijfLpuFReU373ICmsc6GhzFlGUTfnUXKNHIV\nAfUyNM+liaqAxO4JRUAQi3YWuaNlaK5zQ9oQWbFoEAuM8tUeaCeyvJG2KkPbgoBrJsdl7kKDjgnA\nrEuFiwUbnS86OVL+ueetSpvCda0MrecP8SQa0BhOJx5t+vW5x0EJLL1HdT76EouskFM5ixw9IMdG\nQkdDSMNhVszamNg8MTo2rr5jE2jHtxoXz9cMdWCLdqQMjdqF0/He1DI0VJ10mjmLYuvQWDX7hRbt\n6eAQcp4iUpsnFtHCl8bQd6fabWFurFnmdayFGiNnKRLr+l61E9tMLCqf4XyXoQlTNHYWCXIWeZzr\n6fgmw0PIWQqu+h0RUChdBVcfhOAMjPnvhgZdlNmvO0gQi3aUugK+S0GYXZbURJAwPMIwiTDOV5vk\nqIytTRmaYlHvx5oVI0xY83phsge7sLXTIsQMHgJgtmO77XTpxnOOdcHQGI73/YWU16895WBBqxd+\nF+WrdW7lLHJbhhZBwYjY5i+stsghlxUdG5/lAbTwpc/2LRZVmUXYjTI0ahdOx9tnmHkbKLNMiGaL\njYjEolXzu6rS7cMoxACR52D/JtB3rOaynjtYu8LYeXOwdwQFzxB5FBCEmiDnGYZ71s25qju0WCxD\n8+0sUi3K0EoB2Od9hsZ6uHcYOfcrDK4DqTSihs4iAIg5955ZxLSEbHhObBtBLNpRZK0sp+8CQht4\nbbdVe84sElClsygRGBerHXPadRm0dBb1vQxNyBGmLcQi6obmYqxJXOTZKeWfHXRs6gP1+aHvWRIk\nbNAYTjyGQnPHQjUJd/S7eMvQIrHIdkNzJxZJgMeYsGzlEF4K+6Zj41NAoB3fap7w6WqSEoKVD9C7\nUoZGmT50vH0u2NpgdIHciMau2Diz3fRWvK7pfBzuHYYUAySbKBZZYWF2zWzmGG46zI51NthDIQaI\ntT8BIVZjFHyAKE6Qm2jl7lzjxTI0784iCd2wDE3YwGOf2XjIR8hNhChOUPAB4p6LRYU2iEUzZxFQ\nhlz7PieYLqBCGVpgl6jv3Iielya1Yc5Z5Ls8oFaGtmrA9aRYrgyN97w0QagJctas9TDgtksFlaGJ\nod3B7nmNeFPmsnb6vuNLu/t2DFct8WhD/dpzUoYm58/HVUOhG2N3NKkbmosSr0rkEImTEF5aYNOx\ngcfMItrxpc/2ec0Utc/alRbki2Pts+SwDWXeRfNdaWrisPKmRDFGYQTiJIUS2UaKRSjKhS9Lyhw0\n351qt4ZihJFJwTiHEhli7e84xnoCKcpnswlb3R266CzyXYYWmQKGN3QBWge78VgCy+XMZS9FhngT\nr+sWFFI3ziwCytwi32Vo5RzeTEDcNoJYtKPsahlafeHru2tKBAmICINEVM6gZRktUYamt8FZpMbI\neRuxyGYWOSlDK98jPvQwAKvX5PeF+vzg243nHF1AG4ZoWO5gr9ppqA2i1p3KhfvBdHU+2s+hzCI4\n2GyoRA4RIWfZyiG8VbtwOjY+3SZ2x5cnpZjmc1OiXvK2a2IRjbWL83EdMF20KmFIBqVYpFcUi1gx\nwtguKpUYIDWbt6jk9jtS91LfnWq3BepIBvgf68RMIEUp9k2QruwOpVzPrsrQBBRM0zI0m0Pm8z7D\nihEmILFogGQDr+s2SG0QtXAWxYKh8Bx6zoyEZMFZFNgh6GYsDd8ZuzpQLnylKU97r5ZRlJkc4DGG\niVi5G9oyZWiaRb0f61iNUYhmndCAWi25E7HIBpSmeyiMWLljU18QRlXXTO/LA5SEhJjlgXh1FtXm\nHgcCAond6Z51VHhzFpWfs8/cZRaRyMFEjJwPVs5fKKyAQMcGHh/iebFfLnwdCtVNIWFKGl51Rdt2\nqPtcdR1saBkatGzVSScb2sDuFUVgXowwtYtKEw+RYfNcO+XCN6saUvQ+G68jSrdJuZmm4qFXsSjV\nE6ioFMinDgT/E8rQPLdJb1WG1kFmkVBjTO1Y62iAtO/OIqURNyzRBYCIc+9laFwXUCGzKLBL0OJ5\njLT3AkIbuJEYg+qLPba5VAoR04BInJahtXIW8bj3LrJYTyFbOItmN3EHi3P7ACviBBMkYBvYgngd\nCFPUrpnNW2i0gekcBSLEaSl0SI+5U6I290gXAde2RXic7SE3YuWMiMbY8oJpZNvcq9XnlKosTySQ\nIl05hJfcGIPD5CzyN9czOcYU6Wzu8XifKewcNUZadUXbdoztPkdjjQ11pTDdrgwtG1rnXr7afYar\nSW1ROURmNm8OL8vLUzDbgtx3p9ptQcjyOAKAiQZexzrFFCYqz7OcZyt356rK0KpuaH5dJBEkjGgm\nFsWJPeYe5x4KFAesWLSBInAbpDLtytAi5t1txrSECt3QAruEtjfjCcsgduShEgCEltXOi09nUVVm\nYQOuXZWhDZPmE5dmEaKei0WpHkNFzZ1FwtqDtYOHT9o1ElFShvDuSmaR6eaaWQdMFZBMIBmWQoe3\nUGiUohsdRxeByyTcidjz+WidDlIMoQxzkgck5cxZVIjhyrkqlPOSHbbOIo/lt7Tjy8hZ5LUMbXZf\nj3akGxqN9fCUUwGUQdKbSOsytCSDNBymWG2OEnKEKW2wJEMkTHrv0HcQQo0x5YNO3HjbRKTGyHn5\nfGTiIQaYwnhy5AzMFDounUU5zxCrVcvQFruhec4sggQaXq/Cnrc+HaxRLZJBx0MMNlAEbkOhdLsy\nNM6951hxE5xFgR2DFn1TtlvOIgFZddPyudtcPZyJqHQWrVyGVo5Zm4BrwyPwnguDiZlCtShDo5u4\ni9IEOl94ZEN4Pbal7RJhZtdM7zOLjIREhMR2Glq1xKMNwqjZcXQw95DgJKIYE6Rg3pxF5ecUIiud\nEg4W5/UyNO0ghJfym7LhkdJ15bU8oNzxdelqbIoqZvd1zgyU7Pd83wQKFN878tDyLxw43dYBb7kr\nzTjH2MF1HakxCitSs7i8d472j630nq6J1BgFn2UW9f4+0xF0HAEA8QCcGUwn678vKCmRsgKwYpHk\nGeJVnUW5AmPAXkrd0Dw7i4xq7Cyibmg+S2BjNZ657OMhUlb0er4vtEHUwllUdkPze05wLaGDWBTY\nJcglkbNsLnh12+FGVt20fE7s0j7EsygpM4sclaFlLcvQ+i4MZpjAtHIW0eLcXcB1FCc2hHc3nEXC\nqE6umXVAHYmo09Cq4bFtEJjNPdrBQ13ldIuzMiPCl3hpF69KDFAgmuswuSwkcjCRQEWrB7NSp8LB\n3mFIR9+xKbTj20U7ZWXdZnSeFTtQzsPyfWjDMBgeLrPkNtZZJFvvSrvoDBjrKQrbpYolZWlbPvKX\n1daEWE1QiEEVFBycRctRdiQrn49orCcexno8OmY/04pFYrByd65xoTCMRdVOvfCcWRRBwfCk0WsT\nW4bmc1Mi0dPaWJfHncahj0ilkbQKuObec6y4aT+HbwtBLNpRqIQh54Od6ZoCAJGRM5uuzyyJ3N44\nRYxBEmFcKOgVkvxnZWhtnEVx78vQSqvzXuPXi8hdLTntdooocRLC2xciU1TXTN93fCmgcLBXlqH5\n7GhXn3tcZD/ROR3FSSlO+Dof8xE0OIxIIZkAc1GGZkUNFsVlrsqq+Qv5CIURSNKsLP3x6O6hEP4u\nXBKqmN3XgR1pQV6Mygw5ziEhwDZU0F6mhGHCMgdi0bhaVPKUBITNWlQmegIlBrWcrx04b9dAYiaV\n85on/sZ6UolF5WeqaPXuXKNcYZBEVehxIf26SGLbvbgJUdUNzd9cn5hZJAPzONbrolAaUZuAa8G9\n51iVoedBLArsELQrLUW6U2KRMBJS+LeMUvc5xuMqlHoql1fFx0s4iwyPej3WssiRMAnEbZxF7srQ\nUDk5YkiRIta78UAroDq5ZtYBMxIKApltS00lLD6IUJt7XOyc61kZWsEzf+JlMUbOUkSC2zI0By4p\nuzjkIoaJVw9mZXKMCcoHeAkB5tFtkugpFM9meWlenUWz+zrgNy+pK+rtwiU211nEl3AWFQ66SiV6\nVrotUpsp4zGrrQmxmUCJrCawbuYYbjppbay5HevpeP1jPR2Vn8Gtw0VHA6QrzuGTQmGQcHDOwJnf\nbmhKSnBmgIbd0CLKLPLoYE3NFDoiYdCO9Wizrus2FMq0zCxi/ruhGQnNmp0T20YQi3YUWqwUYrgz\nLXaBUiwqRDmxehWLFsrQgFnu0DKMc4U04hC8+eRqeAzR49DTsbVTk+W2CZHDWnISWOM4QyGGiPWO\nOIvQzTWzDpiWkCyGiCJMTAzm01kEVR1HF2WRNBZRnKJwkBHRmGIfU54hFhwKwk0Zmr0f8SgF4tVD\neHkxayHtuwyNdnxneWk+nUXlZ9F5JnvuBGxCvV24ZLHXsW7DMs6i3IEInJpJtaiM0lIkz8eb5UDI\nTNl2fVa6uf3n7TpIMalCpn2OdT6+HwAgrHOt7Lq3qrNIYhiX10skOAqPLpKqfLdhZhHj3Hs2Xmam\n0FE51nTcaRz6iNQaSZtuaIJ7zywKzqLAzkElDEoMdqbFLlAufKuAZK8B1+WNk4myGxqAlTqijXLV\nqgQNKMWiuMdlaNMxiUXNy9Bisgc7ePik9xBxYkN4d8NZVL9mfJZurgMqQwOAMcvAVty1b0NkHB9H\n+x5xkkCKwcqh0I3JR5iyDLFgkCwC127L0EgMXiWEl8tx1S5cssirsyg1U6hoiCimfCqPYlHtvg4A\ncgfK0OrtwssytM2co5YJRy1EtnL2S4aaWGQdlYUHt0kbMjOFiQaduPG2iYGZZTpGWfmcVIzXn1lE\nz2bCNo4w8WDlTmxlGVr5jJsIjsKji4TKd1lDsQiwmxKe5h6jNQaYwMSLYtFmXddtKGQ7Z1EkmPdu\naMIUwVkU2C1oV1pHWa9Lk9oSQUFHtoOAx64ps53zpCpDm6zQEW1cqOp9GtPzMrSprcfmLZxF9PDp\npDSByn5iNyG8fSEys2um786i0kZsy0CxenhsGyLI2dzj4HykFuFRnEJFA8S+zsdihCnKMjTF3Lh2\naHHIReIkhFeocSUgKM/OotnC1387ZRKm6DxTPRd3m1BvF+57rNsgTHuxyEVQcGam1aIytgKC8hjs\nfxBGa2Qov2MXbrxtQSuFjBXVWJNYJD2UHNJnRFa0YPEeIqZRrOAOndSeccvOVx7L0KruxS3EIia8\nlaHl+QSCGbBqrK0IPNms4Po2FFq36obWRcC1MAomOIsCuwQt+kw0gNiRFrtA2ZHI2M4gxuNus6q1\nhh46cBaNa7suTTEiRtTjMrTpiHavmjuLZsGDLsp+ymskjhMbwrsjYhHkrAPdhuaBNKXezWLK/XW0\nM1ojYao6jm4ytOrn42Bl239jihHGLEPEGRQicAduRRI5eBRXu6SrhHXOCQhMgBs/5219x5fCen0K\nrCS60XlGXTi3mbJdOLnIBNiGumf5EiUMakXHYJFPkTAF2A2WZFAG+8vp5iwq83yCiGkgGc4aUvR8\nU6ILFjuS+RxrEosS61yj8228gju07p6POEexQkOYtlD5LhPNuqEBVO7s57yd0HGtxro87j6EwXUh\nlUHcIlYj4sx/GRpCGVpg17A7N1TfvAstdgEgNhImyiAN91qGRl1qeDxzFo1XdBYNk5aTlkgQMQ2t\n+ikY5XbXhBaTTYhjhy1NFZX9pE5CePsAiRw0T6Dn5QFCz2zEBUu9tZuX9rjNjqODuUflKIwA49xJ\noGhjijGmSJBEpbOIO3hA1sWsxNNFCG+sp7OQZ485NvUd3zghN56/+0zlLLLnmdqB+3rZLtw6qVjs\npCxyHURLhKOu6mCtcv7s+ZAObKbM1I9I3oSJDeVl8RBR4q5sfNeYLGQ6JpWLbP1jTU41+swqcHmF\nErhxoZBVZWgMxQoNYdoily1D8yQWjRdc9skGOgbbUiiNuI2zKOLey9AiI2Eahp5vG0Es2lGqnRv7\nELFKmGifiFDaCH232KVAWyGSyhE0XimzSLYuQ2N2kuurMCjtg0dsLbdNEFEEZZgTsYhVYxjZEF61\n9a2pSeSgecKnG28dcCOh7M5QzgfeOohV86vD48i0LLs/ATDxcOWMiMbk+xjDOotY5MTJUc2PUQLh\nIJg11uMq5NmVoNWE+o5v1EEZWiVMkVi0A4vuertwV4Hr64BDti5hMNEAGZa/x0wXWppnw9Jtoj0G\n+x/EZFSG8vJ0rxM33rYwHc1nOlZj7UFAoM9IhuXcze2G3nS0fODyOFcYVmVoHNKjs6jqXtxCLPI5\n9+T2WZiOMx13H2O9LspuaC3Eog6cRRGCWBTYNeykRrsQu9Bi12iNmClAxM5aPjdF1cosyBHkuwwN\novzcvgqD0u6QxYPmYhEAO9ZuMmJy6+Sg62a8Qq5KH6jOFZFYN16/H+KFkTC2DM1FHkhTKLuBxRSu\n72Du0UUlFlFGRJ57+H2KEUY2s0izCMLBPEoiB4+SWjDr8g++qZ4JCJq5KZVrQrXjm+5VJbA+s/Go\nDK26r++AWFQfa+VxrNtSdtJpt9DQ8WpdpaiUk9x62V4pIJgNEovqWYSxw7LxXWM6prEun49Sj2NN\njpZseMR+BxKLln8+mitDE8xrwLWsuhe3EIsc5fc1gcQiOs6pfSbW+eY4BtsitUbcKuCae82xAkqz\nAUIZWmCXYKqANgzMBmH21W3ShsolIWIUnjvkUJkFj1JnZWitA65t/XVfcyyo9j5pkVkEAIWj0FOm\nilJ4wmz3brpCrkofyGt27MJjt491UV+wSZF56yBWZZZFKQojnJTAMi0hqawlKRfLVNKxVooxxiZB\nIjgUj50szknUiOKkyl9YxVKfmOks5JlFEJ4EhGrHNxlWJbA+3Xi0yKb5Sfd0Y6ANKaazsjsWe3OR\ntSUyqv2u9IoOVuqOxElASAfQhgGFv2D/g6DvKNI9RAmVjW//eeuagkKms/JeMLBuE+NhrOkzMvuZ\nLsK158vQ/HZDq2IjohaZRR4drLOxLo/zYK8U6XotFinTrgxN+M2xAkIZWmAHMarclWYRCQjbf3Mu\n7K4747G1jHZQhhbHtTK05Rcw9V2XppCltvDhPlgD2t4gU2uvbopkbtopM11AWleKixDePkAPTUzE\npYtlQ0s8miIw60ikogEST6HQ1Boe9ji6ES/zylnEEzofl7f9NybfxxgpIsFKZ5GD8GgjZ2VoVVjn\nCsGsZbvwUkDQLALvYMeXC+E9G4+yXmh+0jvgLKq3C9d8c51FEYrWZWirOlgL6zahLmiMc4yRghWb\ns6ikDk5RdrgTN962QGW7UVo+H0VxgtxEgAcBgVn3UmYzseIVu3MpbZBLjWFcXi9lNzT/ZWi8RcC1\nq5LsJhQLkQx03NkGOQbbkiuNqIWzKPbsNgNsGVqL0sRtIohFOwqzJQwkIKieuk3aUBQzZ5H03GK3\n3hp60FE3tGqse7qAoF2TdKkyNBdlP7OMmCqEd4VSmT6gam486dmNtw6EmeWG+AyFJrGIV6Kbm8wi\nZZ1uVaCoD/GyGGFkUkSc2xIvB4H5NTGdxKJV8hcGZgoTzwQEAU8P8Qs7vp1l49n5Sfc8kP4gFtuF\nayYgXJyPa0CgvbNoVQfrTIiZuXEnbMPEomrh240bb1sgF088mB9rXvhwm5b3BMbLJSWJk8WSzqKR\n3UgdJOX7+e6GVmUWtShD0x6dRWpK18xMBB6ZFNig67otUmnEvLkkEXHuVUCkZi8sOIsCuwTTRVmK\nZZ1FSm5/GVrlkogS7wtfyuSIEnfd0FoHXNNY91QYpNr7wV5LZ5GrMjQ9K0OjXIBihRDePiDr14zn\nnK91IIyC5jYXIxpi4A6BiocAACAASURBVMlZpKoMhATSUXcuZuTM6ZZRKPSaFwZKAirHvkmQRAya\nx05KvEjkiOMMgyqEd7kH3yKfltl0lYDgplSu0Wcv7PgWvq+ZSiyygtuWZ78stgtXHse6LcuUMMxE\n4OUcGpWAUGsKMWUZhNycMrRZFuHhmhtvu8/bdVB1JKttpk2QgnkYaybHmLC0+nOyYrg2PRsPbL5n\n4jmfRtecrk3xOfdQh7uk5rKfMD9jvQ6UNtAGLbuh+XUWKet2DM6iwG5hF768chZtv1hUldrx2GuH\nHKBWHhAlEJwhjfjS3dCMMRgXy5ehyaKfZWgoRtCGIc2GrX5MMeGknXK9DI1Ctpe1WfcFuma4iKHg\n95pZB1G9I1E8RIbcSwexxXI+F2WRXOdQ9nysQqHXfT7anct96ywyPELkpAzNzo9xsnII72h/vgNU\n+R19PcRbsWhQ/g5dbUrQ/KS3fBNovDDWpXi5mXNUDNk6HJWu62VbkJOAkA4XxCJPXSCboO01Q45h\nV/PjrjETi2YCgq+x5nKECcuqP1MntmVz5+jZeNYNza8woJfILFJMeMvGmwWK18WiDFz201lEY9uq\nDI37zbGqcuNalCZuE0Es2lGYKsrcnqo0aTMfsFwii5m1VPsuQ6vKLMqJZpCIpZ1FU6lhDKrwv6Yw\nQS6yfo41K8aYIKmszk1x1aWC18p+YgcBjn2AAnKZiMvspy0Qi2jBZuIBODOYTtb/gEXh+jwqRTc3\nTjcJZcsi49TT+WiDTPd1gkgwGBZBwEHZj57Nj0mSQa0Qwku5QeQ2ceV+akK142tLQXxn4xm7+0nz\n07Y7i8hJR2NtPIaZtyWCar0rLZLVRGBy59XdJgVPIdTmbBjRNUOC1jY4WLvAVGX6szK0nGdexlrI\nCfK6s2hA4drL3VtnziISizgKjyVHuna/bvwzHrPxzEmu65ylEHJzrus2SFti2K4bGoM2gPZUnlh1\ntBWhG1pghyhLGGJwWyOudiDguh5aJz232KUA18ge72Esls4sGi3sujSFbnx9HWsmRxjXdq+aouDG\nHsy0rJwcLjo29QESOViUQjkqn+qSyCgYK5qSG4HcCetEy1k3NOkoCJOb2fk4c7qtWywq3/+47YZm\nHAkxJHIkSWpDeLOlc1Vm7cKts8ijgLC44+s7G4/CtKvFWk83Bpqy2C68FAY3L7NIK4WI6da70hFd\n10uWl+qFluYAUPAB4g1yFpGDkBpX+O5Uuy2Y6Yll+jnPEHkY60iNkfNB9efhqu7QfF4sijmD9OAA\nJmabu+kBr6z9DI+9ZePRcR3OjfXAy1ivAyoxbNsNDQAKT+eFqlWm7CJBLNpRuC6dRbxym/RTQGjD\nLLMo9hpGV374rDU0YJ1FS4tF5Q1pmLRTuHmVWdTP0gQux5iy5jdvoixDW32suSlOEIv63Kq0CbMW\nsmUHwb6XocW1MjQSE5Yt8WiDqgVclyWwLsrQCihWPrjMMiLW/LvY8/2YKp1FWsSlW2tVFubHVUJ4\ncysWUbtw4+o7NqDa3R92U4ZGYdqJdRaZLb+vL7YLd1UW6ZqCnj1aLjSqzoCTJQVtez5mw5nbpBAD\nxHpzHAhVFqF1Fvl2420L5OLJ6i4y4UcYjNQYBZ9t5MVJisKIpTuxLZahxYKjkD6dReX12iazSLMI\nwtd5W4yQG4E4mT0PFzxFtEHXdRvyqgytjVhUupB8Oc7q+Z27yIEjwxh7L2Psu4yxGx/g369gjN1g\n/3cjY0wxxh5m/+1OxtiX7L993vWXDywPuSTIbbILLXZVZSNMyt/dp7PIYRnaxP5c2zK0aqx7Wpog\n5Bj5Ms4iV06OmrNosGKAY1/QspZZ5PmaWQdlGVp5HbDUXwcxNVeGJtyURRoJbYWvtHK6rVm8tKVh\nI5Mg4hxgkRMhhkQOYS3eU5YuHcJbCQh2fA2PEbkolWvACQtf39l4ukBuBCL7QGt6Otc3ZbFduOGO\nyiIdU+UltixhoGBqteSi2xQjSMORJLP7phIZEk/B/o0oxnMLX+9uvC2BFWOMTQIuZs+FimdI9Po3\nB2M9gRTzz2bjFQKXx/liGRrz5iABas6iFmVoPuceVswHigOA9CQMrgPqahbzFmVoNo7CV/B5vaPt\nLtJExrsawKUP9I/GmN8zxhw1xhwF8DoA/9EY84PaS/6V/ffzV/uqAZdQCYOoxKLtfqgE5hdsmnte\n+FbdfqgMLaocQm1Zugyt5y6y0urcXiwqd3xcLM4LaCsWUQjvsjtnfWHumnEkunWFkhKCGcDe7KOU\nOoit31k0y0BwJ1QLo6BZOQeQk2VZ239jbBnayKSIBStdOw7KfkjkoDyynA2WDmalfBcqzSsf4j2d\ntws7vr6z8ZgqG1fQpsS2i0WzduE01v5cZG2Q1IG05UKDcnyW3ZRgxQhjpHM5fyoaIt0gBwIr5sOR\n1RZk43UBK/bnjiMAqGiAxKxfQEjMBEoM5v5uggx8SXfoyG6IUhOXWHhuk06xEUmbMrTEW7kzlyNM\nsDDWYrBZInALaGw32VmklpzDt4UDR8YY8/cAfnDQ6ywvAfCBlb5RwAtlCUNU1eTugrOIOhyIKIFm\n/kJPgVqXGvsQn61UhjZ/I20KLSB0TzOLIjWZszo3RfEY3EFpQt1ZRCG8ywY49oXKjh2nUDz2Z7Ne\nA1QKMhOLSufJ2nN+MG9rVyx24jYRZlaGRk4Ws27x0jqLxkgRCw7Dk7LL04qQyEHkPF1aLJq1C7el\nNzxG7GmuX9zxLbPxPJah2Y6N1SJny7tKzTpAUee7zRSLirxcxLGWmUWrOli5HJ1Qum2iDCk2pxSd\nyzEmqF8zbubHXYPLCaaYH2sdDZCa9Y91qqcniEU5S8GXDFwe243UrCpD89sNrd69uPHPMH9dN0uX\n/fxYKzFA6sFFtg7yKrOoRTc0yizydF6oJTrkbRPOMosYY0OUDqQ/r/21AXAtY+wLjLFXuvqswOqQ\ns4hXdvXtfqgEZi4JZp1FXrum2N1lcnIN4+XL0MZLl6FZsainu82JHkMuPJA0QTsKuBVGVs6iVUN4\n+0LliBExNBO9LkOTtc5uQC08dt3t5jET40WcOHM1lmVoNrMozcqMiHWfj9a5NEJa7gKKyEmJF4kc\nRJm1sdxCYyYg1DOL/JQHLO74+uyQU36ghISoNiW23Vl0QrtwHjlxurmG3LxsSWfRspsSXI5PcJvo\neIiBBwGhKWUWYe2aCWVoSyHUCNOFzTQdDZH5EIswgY6Hc3835RmEWjGzyOZy+u6GRvNm1EYs8uhg\n5Wpy4ljHQ6ToqbNItw+4JheSL8eZXKJD3jbhMuD6ZwD8w0IJ2jOMMecCeC6AVzPGnvlAP8wYeyVj\n7POMsc/ffffdDr9W4GRwXS58ox0qQ9NqtlvgSkBojCpQ1Moshsny3dDGyzqLej7WsZkuLRZxBwuI\nekYMYEN4l6zJ7wtzIodnN55rFrtZVDk/HsQiU8tA0Ew46dgkjISpCSzjFUKhG2Pff2zL0MBjcGag\n5IrnhRU5CMmzpUN4yYVBpXngMWKmYDxkXoiFha/vnC+mS4cWBYVvewty6gBF7cJ9hpm3YdkShjQd\nQBm2dLmzkGMUizl/8R5SVqx+zTpCqDFyPnNJqJ5vSnSFkCeW6Zt4iAEma5/7BmYCE80/mxVs+U5s\nJ5Shee6Gtpgx2uhnuJuNkybEaoSCzx9vEw28CIProCpDa5FZVJWheTovqo62Ld2h24JLsejnsFCC\nZoz5pv3/7wL4CICnPdAPG2PeY4w53xhz/iMe8QiHXytwMoSRZVnJLpWhyVk7TFctn5vCVI6iVmaR\nJaIKqm5LFf7XMrMosmPdVxdZqifQ0RJikaOxjoyEZrOH/TKEdzecRVUZWo8f4ouFbhaJr1BozLfi\nVSyGcFCaJIyqnEUAMEUKvm7xsipDS8pdQLv4LVbssMhUPleGVmZtLCkW5fNdgejhrvBQfsvVZG7h\n6zsbj2kJySIIEUEbtvVlaFR2WbULFwkST8JgG5RcroSBcY4Jlt+UEHpygoDAkvIeOvYQ7N+EspPW\n7L7uqkx314j0iWX6LB5CMIM8X5/jRCuFjBUwC86iQmSIlyyLmuQKjAFpVC5Ry25oHq9p6s7ZIrPI\niMRbJ8ZITVHwhfLSeIgBy6HV5jkrD4JKyeKoTWaRX2dRKENzAGPsFADPAvCXtb/bY4wdpv8G8BwA\nJ+2oFvCPMAUMiyBiu9jYcrs6MN/ZSfsMPS0/HJLNxJ1hvLyziHZdBm3L0Kg0oafCYIblxCJX7ZR5\nre06YEN4t9xZZCo3XlzOFz0WixbL0Mh5otcdCo16BkIKzWMnAkJkirnzccqy9YtFVRlahoiz6lgW\n+YpikZFzZWhl/sKSCxwSiyoBoXxfuaKg1YTFHV/fbjyuCyhEYJyXTi3V3+u1CSe0C7fXg9ww96ws\nlt+VHrPly51jNUYhFsWi0oU12RCxKF7IItyGrptdkJxELEJSCjiT/fWNNYmOLJkXi6QYINZLOoty\nhUEswFjpHokER6H9l6HFLZxF8Nh182SRDHT8N0UEbkNRdUNrUYbGKeDaU2ZRKEN7cBhjHwDwaQCn\nM8buYoy9nDH2y4yxX6697PkArjXG1J+6HwXgk4yxLwL4HICPGmM+7vLLB5an7KQTVW6TvubYtGHm\nkki8htEBZXmAqu2cD5Mys8iY9jdACv+jeu6miJ5nFmVmeoLVuQmGuWlpKmoZMYAN4d2grjLrYFY+\nlZY1+T1+iKdSEBI4sqqD2PqdRTNbuzvRTUDNi0U8WzoUujHFCAYMU8RzziK1omuHazk3P5pogGzJ\n/AVT7M+3C6/cT+uf98od31r+iudrhmkJZTclJLa/q9QJ7cKtGCM3rIkDXR/LLDRWcbAmenLCopJb\nsWi6IYvKcuE7f80Esag9iZ5ALTwf8bQc63UKCON9Eov25v5+FcF/VKi5mIVYMG8t0gFU5bvRhpah\nJWYCFc2LcyQWTUbrL6t3DY1ttMEB1/WOtrvIgatNY8xLGrzmagBXL/zdVwGcvewXC6wXjnLhW5Um\n9dRt0gZySURxAiMSJwJCU5iWJ5ShGQNMpa46PjRlnJeTY9syNGrnbDZs17UJSsrS6rzwQNIEl2Vo\npiYWlSG8W+4skmTHTsrjuIF5IE2hUhAqQxt0IBZFceksciFUR1g4H1fIiGhMMbaCLUMseOWUkCve\nP5jtzknoeA+ZWe49WVF2Vzpkdymr77jGUgwi0WOMk4dWf/btLGJGVh3yChbtgFhUtgunJTIJwXk+\nnZWmbQC0QbPMQiNnGcSSYe+JPrGlubBdIPPxZiwqEzOdW/hqFiMx213evQ5ONtY8Wf9Y5+PSI7Do\nLNLRAMmSGTqTXM09F8eCQxtAaQPRItdmWZgqoA2DEC02ZEVSZeOxFg6ZZUjNFPoBHIPTHopF5Bpr\nE3BdlaF5cpxR5m1wFgV2CiphqALctvyhEqiF9UYpwCMnLZ+bUi6G5svQACxVijYqJJKIt75pUsB1\nH3MsHsjq3ARXoafRQhmaFAMkO+MsSmw5X4/FIqo5twtKEUWYmhgo/JWhxXHizKF1glgksqU7iDUm\n36+63kRiVoYmVyxDo+6cFclw6RBeLkdz7evpOyoPIvnijq9vN56oiW4S0dbf1xfbrldj7aHksA2z\nvIv2C418Bcdgak50m4isLNmbbohYlJr58nLvnWq3hAzTE8r0hXUWrVMsmo6P2c86NPf3Oh4u7Q4d\n5fPOInKc+HKRGFWUzsw2oo8Vlnxk42XmxO5zdPxpPPoE5VHFLZxF1TnhKctK2zmcDBa7RhCLdhRh\nFAyPay12d+DmXC8FcbS73xS2UGZBeUPjJUKuJws30qaIKuC6fwsIstayuL1YBBY5EYvKsp/Zw74S\n2c6IRaXIEXt147mGxIJ6++oJS8ALD+4wXSuB5W7KIiOjqowWgDIi1nw+FmMou6MZ18QitaKziOt5\nsYjFy4fwlq24aw90JGh5eIhf3PH1nY3HTQFtj6OCAOvhXN+GspNWbYfdozDYBlXlJbZ3FpUO1uWu\n6xQnlm5HVkCQk/WL5E1IF0QO751qt4T0JGX6UVaOdbHGsab3jjJ33bnGhZpzzlOWjS8XSdlVst0z\nNuN0n1mvUG20xuBk17U9/usc63VBne6iFuLcrBuan3Oi3tF2Fwli0Y4S2TI0Kk3qo9ukLfVSkNJt\n4m/hy00xF+A6sHlDlD/UBgr/a0tSjfVmPUg3gay1VIPfhrJLhYvFuVwQiwZIl+zY1BusyBElZQfB\nTWxL3ZQqN6S2MzRBtnSnoTZUopvD4xhBwgjP52OxD22dM7HgVVmNXDEPiJv5MrRVQniFHCNnswdp\n7kjQasLijq/vbDxu1MxZxGKwLV90L7YLZ9X5uFnOIlPLS2yL5NnSIvDATE9wIFAXyE0RiwZmOtdJ\ny3en2m1AK4Uhm55Qph9bF1mx1jK0co6O0oWyz2SIhKmlmh+MczXXwIVcJL5yi5guULB2maCIqOvm\nep+viyJHxHQVXl59vD3+eR+dRTbgOonaZxb5OidmpcTBWRTYISJIgEdVTe6270AC9cyiFIzHSJj0\n1mKXLeycr1aGplp3QgNmYX2mh8JgPrFi0RKZRYbHTkoOY3vNVO8bDZBisxYlzpEksCZl6WaPH+JP\ntrvvJRQaqATaOHYjFhmtkTBVBfoCZUbE2sWifFQF5kacg0Vuyn64lpUjBphlbSwTwhupRQEhdfId\nm5Ahn1/4isSrwCr0vLNo21uQL7YL5x5dZG2o5p4lMotUNEC6RFcpWeRImAQeSCyadl+Glk8niJkC\n4oUytB5vSnTBZHxy53U8KAUEtcaxJtExHsyXodF3GS3RiW1UyLkGLiQM5L5CrnVRlvG2YFaSvd57\n8AMFiseD8s9quhkicBuovLCNs4he6600Uc7Wj7tIEIt2lMiWoTHOkRsBs+UPlQCqBVsUx9WOvPJU\nfsdrD/FArQxtCbFosqSzKCL7pO7fg1huF41kq26FcNOlIoKac3LoeA+DJW3WfYHmhbgDN55rtDwx\noDBnGYQHZxFUAWVY2bWJRys73arW4DXxUvsQLxfK0Eh4W9W1I8y8WCSy5bM2Ij2ZaxfOK0FrvQLC\nyRa+8NghByizn7Q9JxSLwHo417dhsV04Ldj0holFVSfWJUoYlFguKHhMpdvJolhUXltm2n2I9Ow7\nzu7rvt1428DkgLFWaxxrEifoswga02Xm8PHCM25cOYs8laGpAqplGRq4nxLY6QMIg5vmGGwDjWu7\nbmiUY+W5DC0OZWiBHSKquSQkop1wFkHV2mF6brHLa11qgJlYNFois2gx/K8pjHMURvSyDK2wzqIo\nO3TAK08Cj8GZWSosl9BKldbfWhlaabOWG7eL7RRVQBoOLgQYL8UiX24815xswVbwzE9Hu9pOpQu3\nSXXO1ZxFJh6uX7ws9iFtVkIsas6iVTOLaiIHAETp8iG8i+3CeWTFkzU/xJ9sx9d3Nl5ddJMs3voW\n5IvtwkkYlBuWWURu3mXK0Ew0WCooePoADoRseATAZjgQyDlYdwwb0e9svC6oxKJ0cazJWbS+sZ6J\nRfNlaBSuvUwp8QllaJRZ5EssMhKStRMFZiWw630enI7uBzA7vkQyWP9Yr4tCU8B1C2dR1Q3NX+g5\nMKvQ2DWCWLSjxJAwJJjsQItdYPbAFscpmC2/y1fs4tOU8iF+dvOjXZNlnEVlGVrLempLgQish2Vo\n0u6MxUs5i2wr6RXswYUtYWG1xfkshLd7O/+6YCqvgh6NsKJbT8Pwq26INRtxITJEHkLKmSpQkK1d\nxEjYaqIbzVv1sG7EA8RMIZ+u8ffJR5WTIxIMwj4gr+rkiIyErj2ck4NQLikWqTlnUWq/43rn+pPt\n+LrqxNgUUeuQp9n2l6Ettgv3WXLYBnOSuacpyzpYJ5UQM+9AyIalEGvy7heVtPCd+46OysZ3Ccqp\nESc4i9Y/1saKE+mCs4jyJfMlxKLRYsB15LcMjev2zqIqG69Y7/PEA+V30vE3efeOwbbMuqEtEXAt\nPTmL5Gz9uIsEsWgH0UpBMDPrEgPRy9Kk1uiZS6KyjPpyFi1kcgxXLkNb7tKVrJ9jrayzKB20dxbR\ngnqVlqYzJ8eJIbzTJWrye4OWs9p9z24815BYXM8NUWLgpaMd00V57ZVfAMBq7gdVnCgW0fm4VvGy\nGEPymbOIjqVe1VkECVNzFsVVrkr7B9/UzAsIs1K5NZcHnGTHt8zG8+fGE6ZsXAGUZWjb7ixabBdO\nC7ZVz0fX6KqTzhK70vFgKQdrXnWpWnCbDPagDQPz0QXyAPJx+R1FzTHs2423DZzsOALAcK90m6xT\nQKD3HuzNO4viFTqxjRfc8zG3ZWgdZYw2+pnITxlalRG1cF3T8Tc9dBZRl7t2ZWg2s8iX010v36Rg\nGwhi0Q5SuSSo1SN2w1nE1KwdZtXy2dPCV0BCcUdlaAvhf21QPR1rZR9IkuESZWgOxrrq9lRbnFch\nvJMtdhbVRA5y460iunUJlaFFtTI0bx3tHItu1QPpScSiZUKhG1Pso6gCrllV9qNXfECuixwAkJCz\naIlg1gzz3ZWo7FCv2VFJO75zC1/P2XiRUTB2kaNZBN7DjYE2ZGYy10Kae1qwtcXI5UsYKIemrQg8\nc5ssZMlwjgkSoOjegUBduqJ0vhtan7PxuqA6jgsCQpykyI1Y61gb+97ZwkZeVIlF7c5bpQ2mUi90\nQ/NbhsaXKEPjlatxvfcZOp7xgjBIx99sgAjcFsodilsFXPvNsQplaIGdo1qkUH3/jpShQcuqFIRX\nbS79tD4Xuqge4oFZGdpkCWfRONfIlgi4BmwZWg8XEDOr8zLOIrs4X2G3mUrY6mVoFMI73eYytFrW\nTnUcPZVuuuZkZWgqWi48ti2sJhaRUL1KCSy1Bmc1p4KwC65lcn4aU4yRs/L4xYJXx1KvmIMWmVn5\nFACkQ9olbb/IycwUOpotPjl9R7necaYd3/rC17cbT0DOBCoeQ5jtva9rpTBg+Vy7cOFprFujVxeL\n2l7X1fl4knvmhKVgPoL9D6CYkkti9h2Z8NupdhuQdBzTE8v0Jyxdq4uMFWOMTVI69mvQmLYNXJ7Y\nDdSTBVz7LEOrx0Y0+pkqG2+9cz25bReFQS4ExiYB2wARuC1SURlaC2dR5LcbWr2j7S4SxKIdpFrs\nkV0d278DCZBLYpYbAgCq8PMwLaDmds7JGTRaSiySSwVcA2U75T4Kg7qyOh9p/bOzlqbLLyDoAaBe\n9kMhvLSDu42wOUeMXzeec07SzaIMhV6/YMx1DsUWXY2riEW2pK7udKPzcV3OIq0AOUFeK0OrMotW\nXJxHC2VoywazVu3Ck5M4i1YIuG/CyXZ8fWfjRbXMIsMiiC0u5zlZu/BZGdpm3eNWySziSzoGaZGe\nnFQsysBl94vKk7Vd9+3G2waqsR4ePuHfJljvWLNiHxOWnfD3qXWBt53D6Zl4rgytA2dR2zI0Knde\ndyfGKpLhJC77CcvAiv6VoZHgI3gLsYiTWOTnnKCOtiJarqqj7wSxaAehMpJq0cJEL90mbWG10DpX\nXXyaIsz8YkhwhuT/Z+/dWWZ5+u2wVbeey+a8kQ4YJGEcOJEDKxACZwqlSIkD6QsYDPoAimzwV7AM\nxoFwZofGwRFK5dDCyGAFAqFEcuKDDH6lPZeum4PuX03PTHd1dXVXP9Mzs0Do8P738+zZU32pWr91\nkRwnPe17997jpPPa0IAN1ym305Ld/jjyB58RrvMZa217bGghhHeDVaWpYE4HkoMOYnMUWj8JF2TE\ntwObV8fGtlR4in2XgSDmW2WcfiYvQ0ZEKWVRew/WdwHXZPGaaUODvVMW5YbwnkIDVIcsUkRoFc6S\noBD+7uF85Ww82XnPOCYh/Pvaefrqwm9r/WLPqDCVnl67nKtgJQvno10FAGq2h3gBZREdfO9q1ynT\nbatDiR+AvVKm4zNZdC281tycccEzCUokpZtIFlGOZ7fE5WY5WktZdJ8xmoK1MouIfNsdnwenV+zA\nzTpuiSWhnYcSDIylk0WUb7TWNdFttP1EfMmiD0RQSbRTYcsU+BvL1QmNSqJ5oIuVai4J8iGTA2hk\ntlNtaFfj4D2ybWiGyU2uNat/4+R3T1LnpJ9VtNb5/27T2hW74cghhPeNySLudPDuh2rYjdrQaLrf\nJYugDhDM43ote3Di3sDi/nvUc2xo7YaU2p+ATkZEqYDL1spw7djQZNX8337mBlk92tD2x6wQ3vr0\nrDYhNYcvbE3qO/iGd+xa7xnYQFA5riCwvWd9Kvrqwm82tNf6d/tWzauqZwXGGCgwvZ6Y/eJa8rJP\ngVDzPaT9+UMlKYa7B1+6Z9ZS470DKGS6Ojzb0Gq+Ay+41sKewwChi327pm5iuPa5z4a2chua8Pou\nYzQFUq5jgaWMqL5IhivfQ9ifVwxOhbFuUhMacCMQtVtHWXTXaPuB+JJFHwhTPyqLPsmGRlaQdSeQ\n4sFmATQy26k2tHOPRHcKtqosYuaMC8vzCvMFbD80LepmFlXtFC8nhHcrYM7APWTtrKXGWxw9bRYU\nCn0p3GjHexRa85RuzbXMZVdZVJi8bFU+19ZyoAQLpLufeU1ImKAoAJoQ3jN2k4NZQ114l0Agq9xM\n9dMY+ia+PDQxrnMwV53MIs/f24YWApzv1rr9txcOM58MUjXK6cqicF9PVAy69n499FiTNN9D2p9X\nFtFn3HU/48pqvHcAKTAfG8kAQPMDVEECQZh+sih8lolk0alunln3bWjr2tCEN3cZoyngpGos/OyJ\nrXXNX0MxOBXa+kD+pIIxBiXYaplFd422H4gvWfSBsOa+dtltVG0yFc2BrQ24XvngK2Hh2bOyaGob\nGv35XLKoacjZ3lpzc8a1R+qc9LOhOnvO4Zxq1zvqh3aK5zJCeLeCxrvfkhwv2jSUCt9mYKgOWUSN\ndpeSodAAWCcDITx3ZxyGiOTuZhbRVHlqRkQyHpRFknNIIovmBlzDBpKD0ITwTru3KARYdEKmQ6hw\nYbKod+K7YjaeB5W8GwAAIABJREFUdw6SuXDY9ly9tQ0t1IXfkUWtiqzwWk+G1dBegE1o+yHkKlh9\nIGKeFQhG7KHczyuLUDfPlMPxPuAa+JJFU0ANWI+NZACg+Q7SllO7SHeB7iGLlKpgPA/PxVTQQLSr\nng+Wo5VCz4W3k21ot7y0wgR9fYLx/G4fQ9B8D/kK9/VE6AxlEdDsQdazoZmvDe2LzwId9niwoUnw\nN95UEpgzsNSGtlKOBaHbUkM4VNNtaH0v0iloLIfbmzYLc8a1Z0OSgnCdzyCLSJXQtaFRCK+bmKuy\nJTQkB9mn2mrYrSqL2omfqm6kIylQSjfaCff8PZoZz57bM/y5QWxqRkQy2k3/BTdlERExcw7nztqG\n5BD3m98r24NPnJJSyDSFzwNdtUlhsqhn4rtmNt4ti7B9t3HVKLbeFH114bJahrxcGqzTxDoVFWXj\nTX3P6DOsZ9jtDk//yYoDqhWC/cfg9W9oL1Dtbu92esduNRvvJ8Dq37h41Ru+a8QBlSunNqkGyCJS\nh05t5zr3DESpJWutMGOO59iIMZAlu/SZgplz8732EM+a71FtkCwy1meRRY2yaCUbmjMh8/YT8SWL\nPhBkYegqi8QG1SZTwX1HWbRyloTyJkx8CfNsaHkbT8vEJq0Jwp57NyQpoAP1HCVHn+3nFsL7vsoi\n0afGm2Hn+0kwakMTneDMllTQE/NApoJ7Dcfp2TP/e6RchG670i0joqwN7cJ2kLwJoxREvM2Q3mt6\nHz08H2u2myyp1+fnunDZ5sQUtybp89PBd81sPF1f6C9t/n8u35os6qsLX8oWuThsnW1hCCTwRGUR\n0ydcBg6VVh6xe4FDZfMZHxQSC7SXfhqYOePc00gGNGtdkhis3AVWPhOSQKNCndrEFmtDW8tyJL1+\nio0YQxhKFM4s4vrU2z4HNCTwSygGJ0JbF9RjU6AEX+2a4K6+tWl/IL5k0QfiZqmhCaTcpNpkKroN\nB4FAWCnbQMLeNvEt9kqEKUoq+sL/psBtNJ9KuUuvLz4F4TqfY0MLtp/bxpZCeKfmqmwJ3JsnkuPV\nwmNT4Z1G/WAFCeGxhW1owneePUGuPseGpu9+FwDsj+2huS40RW6tDhfswsZOLaAsCkTKw/MxJ4SX\nLHiqozYJDVSF1SZ9B981s/HMQ2Oj5wryjRXDfXXhS1yPJdA0seYdNMjWODUoOEYgOHnADj9PxnBz\nfjr4rt1U+w6I2fSd2GPny6115S6wop8sumSoQ2mPe29DWzuz6L6dM+lnKOC68LOH20uwgj/CysNL\nkMBT0bShZdjQBFvtmrhrtP1AfMmiD8TNUkPKIrVJtclU8E5uiFTLtPikwDsHxSw8vz9IHCsRlEKp\noPC/w4zMIrHBabOyZ5iBDckYliA56Dq5C0fOlFlvCQ3J0Xx/S5BuPwlmn6tPVZvzMzU8dip4JwOB\nLLBzsp9oDbrXY1Xt24yIUja05veesAsbu5AHNIOAvpEc989HzQ+TQ3gpbL7qVEiH9jtb9rnXN/Fd\nMxvPPCiGvXhvG1pfXThZQfBiSummiTXvnU22Rj9RMSj0afBQ6eUBhxewoXFzDoH5BCHnPx8/DcKc\nBm36Th2xL7jWe1zhBpRFNZseuNxX4qJC89VKyqIZNrTSQwlhTqgjJPD+BUjgqTDWTQ64BprMorWu\niabR9ksWffFBuFlqWsKEb5NAmArRUUmIQCCUf7DesiQebWgSJz3te5/bhua42qTlsPJXWJGnLLrV\nKS+gLJL3B9omhHd77ROpuL9n5mc//SSaNov7lz2RCrZw7pT0Omw+QzvXjGePC+Tl7TBYnLxslQ3n\nDlkkhGzUdXNsaK196vH5aMR+ctaGuz6H+t7UJmWv22bi+0AWqfXszjeyqKK/HOqN3+t9deGBvHwx\nooG5Z6I6FbkKVmHPg4dKX/3CnmnY0mG8I2gOvveEFl2/W7U7/wSia62OOOAKX+hQvfcXePWr97/l\ntO6deqIWgg3NrEcWIdeGVvg9I+0ZNe8n57w8FFWRlUJuwHUl+Xo5Vp1Ihk/Elyz6QISDBhEm/HOU\nRTeVxDqSUeC2iX98+eyVwLme9vKba0NriMHtWRN27gIrjuN/sAe36uz5th/xUH18ZXuIt1cWtWQR\nHbpf7CCWjJ7pfgiPLVU330J4EzIQbja0GUq39lp+vh53k2X/yWhtaGdfhSkg47z5Tmeodoh8fCaL\nDlATN75k1em2AjHOob0orjbpO/je1Hjl7xn7YEODUBDMw9ntPe9T0Bcorkgx/GIDkTkWBsY5LqjA\n9LT7Wthh6zZTzWGzdAvkGKS9PB18126qfQdI2x8yDQBQB0jmwtBySThrcWA1vOonL7SY3s5Fe9yd\nvB1Pb21o6xADMsOGFtwKhc8Uyl1hxIBisPqFI7tu7pmvrQ8h5lMgOVutDa3baPuJ+JJFH4jHZifP\n5FtnGxC6KgmpKIyu/KZS0yZe9tnQph2y+sL/pmCrlsMdrnAqlyyifKoFDucPdaU124FPzFXZErok\nh1g552tp9E3396UbxFoIWPgH0m2O0o02pJSTQMjJiEhGa0P77fd3U0ADATbjcP5EcrRwGfkLRCDs\nOwRC+IyFN/F9E981s/Fsq1SjwzYFhus3VWj4HmKQCwHrWXEryFR0yzVycGZ7sIlBwcqeYYbIoqoh\nyc+//132Z1oCyl2eDr5bz8b7CTTfYz9hU3KtiWxkA3uzpoltIllUGxyUAO/Ykm4B1yuRRT3txWNQ\nbRNj6WePcmfoocFpuw7Xy7YGmMa5kEs1BVKspywSnczbT8SXLPpAPFoYmmyD938xd/NXwr99hU28\nGbBZHNqAa+/TH3YXUhZlkkV+oyqyvb/AD/jix0Be8jnEoA8ZMfcb2zpDZr0liI53fwk730+i14ZG\njXaF1WENUf34Pc4hL5ufpapwgs7IiEgGKYucvJsCaiZnkUVGN8/HR4tnVgivPsP11IVrJosri/om\nvmtm41HGCyMCsT106zdtlWL61FsXriHBXozQZs7MatK5ZpDAyl2gBwmE5lBZn8uS5GNoPuP9wZe3\n98xaTbXvgMpdYAZs+kTkXAuoyC6nliyq+skLm0MWafu0v127DU3hub14DHKlM8XOXeAG1pq363D+\n/cein2Fp5CqLKsFgVsss0rATr4l3wpcs+kBQtaMkjy1Xm7QmTUVXJSFXbE0Jm/hHsqgScB64TvBh\nk7Jojg1ta6GnN6nzPBvanDplF5QczyG86o3JIunNTREj1zv4lgB3zwGFxxAeW5Ys6k4ql8g2COTl\nw/VYlLysfwPqCO1xNwU0mEfE3J6PD2SROk4O4WX61OQ2PdSFW0iwwi2QfRPfNbPxqGqclBl02HnX\nQ/dQ21dzPb7WO447PWsqXbPdZBK48sOV5mLXkOTX888qi/qatNZuqn0HxNe6URZdT8sTCIEs2vVn\nFll5wG7iM/xU26f9reAMjGEVy5GzFoL5J6XrGCgbr3SRQuWvg2tN60DrshXkZhY1yqJ1yKJuJMMn\n4ksWfSCIIKHwTc8l5AbVJlPRqCRaskiuRxaZwYDr5oU4pRHtVFtUgmdJNgEii7ZFDN6kzpnKogXW\nmggS+WBDM2IPtcGq0lQI2BvJQdbNF7N4pKLJDbnfhEpVofZycnjsVEgY4JF0m2WLbH5WPVyPuuT1\nqE8NWWT9XXOJnWnxIjKDP+QvQR0nh/AyfRogEOZZ5VJQuWvPwXe9bLybvby5zuh9UyKr5BUwVBdu\nWPm1noq5TTo5JPAuUmku26y2+vSzZNHOX+BkfxvaVocSP4G9v8DJ/mGa2LfEYAECoW7JRjFAFvmM\ndq5zbXtjFhTn0CtkFpFtl01UkTDOYTwvrmDdI7LWrbJI/3AW2VSYhz1FKiRn6wVcdxptPxFfsugD\nQZvKcPB989YUgvQmhNbdai5XyJIYsFnQ9IQC/VJw0RZ7lX/belFtrvmOvPZD06sxBBvanANbe508\nk0UHVC9QQVwKXTn2WjLrUmhyQ543gBe2Ay9NFnkL3ypnyDo2R+lGG9LwHGthxKEgWXRuySKHqhM+\napgCmzFsuLVz3t9bZG2YEsIrzPkpZBpo1CalM4v6Dr5r2tBcIN2av5O136d508yiobpwg3m2yBLg\n3sBObFfqommVmnZf73AdtG7L9l2qC2e1jaGpXb8/+MqQ6fae120J7H1srZvvt0SJA9kYh8gip47Y\nTywp6LOhAYASbJU2tGDbfRxepPzsCu+Zvb8OBooHYnBjZNGcNrS1Aq67jbafiC9Z9IGgQ4q8yyza\nltokBxIdsuhHbGgPZFH7QjxNUhaZu0rRyeAKamMqsmvwxeeRRSGUeo7th2xoD5lFVh4nh/BuCV2C\nVa14z5QAH2gkupSsm2+hOs8esYSqcUDplpMRkYz6N1Adn6aAFgJ8xuH8poi534jlBLMKe36qrwcA\ny+QsQisFfRPfmxpvhWy8EHDdXBOkLAoB4m+Gobpws4LlcCrmhqM2QcHTlEUHf4UbqDRXbSh46RbI\nMTS16w+ZRSuq8d4B3jnsUYdw40eolkDQl+UJBFKwkFLt+S8/omImqOtT0GdDAxrL0RptaMG2m0EM\nGJRt3dT1FRWzg2tN67A1ZVG2DW1FZVE3xuQT8SWLPhEhf+WWbSCZg18pKOynIGFDfT1V7Jb2FwO3\nlw97OAwFZdFEG1puExqwTRta3W5yxC4vs2gRkiPYfu7X0Mv99BDeDUHiViF7I922uYnnvj835Mr2\nEIUb7SQsIOjZs4At0tH1+EBeiv3kjIhk6BOgDtD2vrnEsnmHc6rI5g9kOoV1TrFPCHuG5s/KIsvk\nLEIrBX0T3zWHEqReovd6IIveVKExVBduX9CGJrAAWTThvrbGYMc0MKBAqA7NodIWIBBScTv4Pt4z\n6zXVvgMu59/gzA+qTQKBUIAYNNeGyFcDyiJSh54mEP7nOqIsWkFFogdiI1JgZr4Lx0Df41CgOK2D\n+WHF4FQY5yEzAq5XzSzqNNp+Ir5k0Qfi1qTTbLRI8fKu2QaErkpCSNlU7K6wqSRl0ePknBRC021o\n+WQRRAXF7KaIwXpsejUC1V7nc0JPw+G8uj+cNCG873kY885BwoZNk1rCzveD4N72KotqvocoGFJu\njQFnHgg2tJbMmPPssRrWM3Bx/yzw6jg5IyIZ+gyoXzDOo3ogi/gM1U4gOR5UUmRtqCccaJW9QPPn\nQ5OFKLqJH5r4rpmNR4HA1CZFtj77pofuobpww9TLKYt4pw0xB04eULn0+/p8ih8qq0MT7G8LB/vH\ncB5QDN+aat/zul0alxHl9a5t/HQFCARzad6b1fFPev87faZ6AuF/1v0DUck5zAoqEhpesAdbdApK\nW2BpLzy01rQOP60YnApjfZ4NbSW1GXDfaPuJ+JJFH4incNR24q3r97XTAPeNREDbmrKCPcANZHLc\nbGjpG9u5yqKw1hsiBvWIL34MQko4z+atNRGsPSG8u4khvFuBtQ3JQffMTY23zU28GGgkKtoghs5z\n9aGJETMO8czW0D2BuU1GRFkbWqMs6tjQZqp2grJIDpBFE0J4h+rCLVfgvtx1O3TwXTcbb0BZ9KaZ\nRUN14Q7lVWRTIWdaGJw8YI/0+/oyQhbtWwLB/6AC4TrwGW9qvO3sUX4Sl7blbGh/tDv+AQBgC6y1\nvTbPvd2hnywidehlwjP8XFsc1PO9ouQ6yiJT5yuLbOHMIvoeh9a6ai2Hrt4WWVRbB5WlLFrnmgCe\nz4+fhi9Z9Il4DOttbwDzptkGQKOSqJi9azgwhafNhKAseswsahVClwnKoqHwv1TQv39Loackda4G\nNiRJvwNinuXQamgvniq5aaN7/uFWmRIIOQPtIYcLsZoarwSa6f7zJtTwPVRBG9qjrJ1INz/ne3Sm\nIbsfoY6omL2FdC4JfW5taB6SL6cscg/2KYKkrI0Jh5zKX2B7CAQLCV7wWT9+8F3Bhta+10mhFZRF\nGxoMTMFQXbhlYtb1WAJN7XL+QcPLw6Sg4OupuWf4gAIhkEU/qCwie+njwXdNNd47gEKm2YBNf9fm\nU/kCuXx0/ZCt8RGhdW+C0qXZ4z4fTddqQyPbbp4NTRTNxqsDWTSw1gVVZCVhrLvbU6RiLbUZcN9o\n+4n4kkWfiHbTLMME8r1bU4BGJQHgjhnWrHxzAXCzB4iHyfkxI+D6PBD+l4xQp7ydjRhJaqt205P1\nO2ZWZzNnepUcpCSYMjnbCgLJ0bluGzXeax3EUjF0YDMlQ6HROay39x4XoqnYnfHsYU7DsOfnwI28\nLJBFok+NDc06VPI2BXRsHhHj7X3hAqHKCOHduQtsT62w4/MIrTEMTXzXzMZ7zCx696DgobpwO7Od\nrwTmhqP66hf2ExSs9blVmwxYt/cFCYRUUGMT392/129qvPe8bpdGsOnv+vdHh1/NkM0XUJvQ76S/\n4xGi/Uz1OX1/NFTiIgVbpfnqFhsx3YZmmSqqaqTcKfEDa10SxuZlFq2VYwVQo+1XWfTFJ8HWqDsq\nCSa2pzaZijBpFw8H3xVUElQBy9V8smiuDS3UKW/Icmiv7fRqn08WNcTgHBta3Xs4v4XwbuvlnAJD\n90xHjachwdw2lQoC/Qc2Kw9QpaxbuH2P7O7ZI2Zdj8zpXmURkZfXEuRl14bWVRZxBTHD4kXtnI/P\nx2o/PYR3j0tvhbRlEqLkxLed7j8efEM23hp256AsapRVlJH3rja0obpwyyTEi6kfu02sOZiqYCUi\nZsiuwoXAye/AfvBQqVsCQe6+NrQ5GMt0rHZ7aC+AAioyUhYdBjKLbu1cadeZcx4X7XoHomqlMGN6\nXubZ0MqG61OjnRoYnN5I4HK2+hKorbvLQUzFWtcEQI220wnEd8GXLPpAMPtw0Hjzil2gawW5/btL\nh54SXDsNfLRZ7Kv1bWh08N9S6ClNSUhimwMDCcw4LDKnYXsO5yFXpZ3kvhNsTyuIYWIVNV4JDAUU\nOnkol/MDwJie7xFyVuA6G7Ch5TSIJaNrQ+tMAf1MIsaFds4Hsqi936eE8O59DdfTCuRmWuXGMHTw\nBdYbSpCyiA7b9L5xG3rWpyJWF15aRZaDplUyX1nEFGW/pN3XpMZTkQHLle3AzM8dKvWlua8fD75r\nqvHeAdR8FSsAuaAqstZMn3Dx6qlogUDq0NS8pItp9sJ9e9ym+WoFG5ruz9BL+tnC75nbfd2/1kJK\nXLz6URI4B/ltaGxFG9qt0fYT8SWLPhHO3Kkkbq0p7zmBBDpWkG5m0Qp1ykAnk+PBZkHTk+k2tBmb\nTkkqsu1M7cL0akDqnAKLeSRHczh/3sDcyKJtvZxTYHqCh+eSbj8J6furT508TsoDmQrbQxZpNq81\nhTkN26N0owMDKQsWg3OAoTa0+ymgYxLCpz/DHvFIchBC1kbiQeNWF/68kXZcFVUWxSa+a2XjESFF\nJBG9b97RhharC3eFVWQ5EDOVRXxHisGpZFGMQNiB/yBZZC5t7frDZwyFFC+mDntVkPJyF7HpX9ge\nvIDlkJkzzuw5I45AZKW5pl23tBfuU88rzmBWaPGl5yXZeKegsaGVe/YQ6RaLZLj8MAk8Fd57WOez\nMouU4NArXBOh0fbbhvbFJ+HRwnDLLNoOgTAVtid/xc48sKXCtyTc4+RcCQ4lWDJZ5L1v/dz5yiIK\n2aYD7BZAZNF+TmbRzByLIdtPCOGdYJXZCoIN7UERs1VlkYTu9Zx7dcAeV/hCmw4qDmAdMmSuXJ05\nA9OTvyRaG9ri1yNtPnuURY4rcMwJj38oXGhx+NW0+LhEZdHpd6PuY9UzgeC5nGWVG0PscL5WNh4F\nAsuKbGitnecNh0CxuvDSxGAOpLd3FvipmKpgpcN57FBZ8z1EwRbIMdgQjvz8GfVKTbXvgGDTj6z1\nle3AC5Q4cHPGFcOkyi1wOe0Zfm73wvshG5pZQ1lE7cXTiYFG1VjuWe9SyCLsf5QEngpSi1Uyhyxa\nR1kUGm2/mUVffBIeD763bIP3fTlr3dzsvHOzW6wjVx+yWQCNuijVhlZbB+f7JbqpYBvMsWD6hLOv\nBqXOKbAQs1RkzBnYHlVKTgjvVhAUMZ1Nk2XzvsefhIDtne4z9QuSOdSFcrzC5vORdJsxgeROw/WR\nl+31mJoRkQwibKpfT5lFnkvIOZlFtl95uaeGncSJOKmpegkEpmapn8YQm/iuZUNDe78q1Vxn8o1t\naLG68FdUFqmBvLRUTFWw+vZwvhvIkgFasugHD5V08O37jKup8d4Arh7+Hgk120OY5ZVFwpxw5cPK\nIsoySq1yP+thZZEUbBUVyVA7Z9LPMlH0PeNGMqIA4MrLrHUpUOaQ5Bk2NM5hnIf3ZQmjx0bbT8SX\nLPpAMGdg0bWhNZuYd5SrE0IeU5csYvMObBP+cgCdlo8OjpXEqU77DDR1mdOGRiqyLRGDzJxxYdMl\nwV3MXWvudT9ZRCG8G6sqTUFoBXm8Z17sIJYKOdRIVFEeSJk1JNKNi66qcZ6yiHvTa0O7kZcLB1zr\n9rtRRxjrobqZRXwmEdM+H4nkIDDOJ4XwUqh3X1245xJijvppBLSJ7zuwrZWN5x3Z+ZpnJVfvW0Ee\nqwtvVGSv84zyzkExO2sqPVXBSu+jmDWp5nuogi2QYyCyqE8xvOVsvLVBmY77KDF4gCygIhP2jDpi\nQyNlUWo7V9SGJtapSXcDw4sUWKbKDqBJZR+JZNBsB1FARVYKtKYyK+C62YeUzrJ6bLT9RHzJog/E\no4WBvLlbUptMhe3JX2nC6NawB7Q2i55JxaESOOu0aQlNXeYoi4TaXsA11ydcMbwhSYGZ+RJv7pke\nsijIrN+QLApy7NumyaJsNWxJKJhezzkPZFGZkPK+Z4+ZWbHLvIHtsaFRRsSUUOgk6K4NzUF1M4u4\ngpxBxNDzUVXP9/iU/IU6NED1EQgKsuAmPn7wXScbjwKBVUsShVapDVmOUxGrC3dcFSUGp8KY50HV\nVJC90STaeagNKZbzZ36YLPJ6+OCrob6ZRYnwdbvWEbLIiB2UW35/L+0FOqIs2u0OTRtkYjtX3Ia2\nTk062XZzAq7dzGbQMXh9gvUMVc+7klCKGCwFUotVGQHXtA8pnWXV12j7afiSRR8I/hCOusUcm6kw\noeHgtmFzTEKsMfGlSUWPsuigBM6JyqLY1CUVtNZuQ8SgsOeo1DkFbqZ9ijsN10MW7Y/TclW2hJsi\n5t6GtlV7gITtzSy6hccWqJsH4PqePTNtaML1K912pcjL9vr26tg2l3S2DlzOIouoFa6PTL+w9PyF\nUBfe0wDl537GMUQmvmtl48HW0F6AtRZB+cYB17G6cM9kUWJwKijvgs0IRyWFkE1UFrH6N5xn2O2f\niVOClQdUP0gWoT7BeN578F1LjfcW0L9x9QpCDtsctThCueUJBOUuMOI5I47AOMcZe7BEK/FZN2t+\nrHos1ivVpJMNre99NIa5zaBjYPrUfJ+RMGgjDj9KAk9FsKFlKIvoZ0pnWfU12n4avmTRB6KZSt8e\nxuTN9RtSm0yFCzf7jRkuXaccMGCzABriJzXgehEbmtyesqiROs+3oc1Za+4NbE9GzJ4O529IFtGm\nict7G9qr1VKnwDsHyVyvsqh0o53rVTWK2dej67HUhYyIpcmi1oZmZXP4VPzehiZn2tC6JEcXNdsl\n56qYlkDoqwv3XDXVt4Xgdezgu84989jYGDI33pAsitWFe6EgCq71VOgeC/xUTFaw6lNTlx45VFpx\nxO4HD5VMn3DBrvcz2rXUeG8Ark84j+yPrDgUWevKnaNkEdCqQxPJovE2tPI2NBrucjVdRdJYYMs9\ne7g5jUYyGLH/WRJ4IoINLSOzKNjQCiuL+hptPw1fsugD0SiLOja0dgL5zsqiXhsaL+wvvv3lAACp\nng8SjQ0tkSxawIYmJU2bt7PW0p6hRzYkY3AzK02FN7A9h3MK4U3NVdkSyKfNO959yxTEBjfxt4DC\n5w0gHThLNdoF0q3bhjbThia86VW6hYyIpWuSWxuBEc21oLrNJWKeaofZumk/6kHND8mNTWTR6a0L\n52XVJmMH31VUEk5Dd64JakV7x8yiaF04V43l9EVAdl6WYWsh0L8zdSgxVmkOAE7uscPPKYxjWYRm\nw9l4a4OZS7SRDGjWuvLLr3Xlr7Ayfp1dJxD+sYGoXDmz6LGdM+lnuZpV9jAGbs64jhGD8oDKb4cs\nImVRXhtaa0MrfF2ERtsMtdm74EsWfSCEv7fUiDduTSHYIRvaChuSkMnR8/JpbGhpZNEiNrT2M7gN\n1Skrd4WZaUOzM6uzues/nFMIb2pj05ZAhOLdPcO3qSy6VZ8+ryEpUUo12pGySDzlpc0jL12PSipk\nRCytdGvJUM0bZZG8UxZV8w7nzsD0hHU3f98uWVIfqwv3oipqQ4sdfNfKxmO2vlM/qjcOuI7VhZfO\np5oKssD3qRpTcfg1ze7MzWn0UOnVL+x/8FApIp/R4qssSsVYIxkAOHnEHsuv9d5f4OSw1RFom9gS\nCf/YQFQJjnqVzKI2YzQj4LopUiinLBLmjJrFB6dOHrArQAyWgg7KogwbGqeA68LKIp2fY/Uu+JJF\nHwju7V1mkQibyu2oTabiZqm53eyrtaY4DeN579R5krIoEv6XCsqfceZ1NtNjSJE6j2Gul1ygnywC\npoXwbgk+VMj+gHVzYZiIFUQFZVEhssg+k0VzSbchZRHjvFG4JAaKJoOURbxVFnXzBYSCYB7O5m2S\nmdO9Fk9gWv6CDwRCj7JIKFTMwheSq8cOvmtl4z3a0MJk/A3f67G68NKWw6kgsmjOVDpkDyUOJYS5\nRFuqAMCrAw6szr5v50LYy+DBdzU13hug+R7H13pfgEDY+yu8jO/Nar5PbueKKYuUYDArkEVk2xU5\nmUUzyx7GIO0ZNR8hgeURhw0qi+SMgOviZFFPo+2n4UsWfSAeVRJUEfnWmUW9Kol1WlOY1YM2i0mZ\nRZHwv1SIoCzazlrv3AV2ZEMyhkZFlr8p5gNKDoBCeN9XWdSVY6+lxlsaRg+3WVQh56eQDa1n8+mY\nmkdeegM0AIy7AAAgAElEQVTfY4sEgDPbgy19PbaHVN3eh12yiIJ7dWZoPnNm8PloRXoIL9WFU+j8\nHdrvytoy125s4rsWwcrcfa5aCGh9w0N3rC6ciYYsKkUMTkVfUcBUcCFw8rtku3NzqIwTCEy1LZDn\nMs+9MYjIZ9xqNt5PQNlztJGs+UNHVMxC18sRRt457FEDKq4s0uIAlagsOsVsaHwdGxopMWWkcWzw\nZwsT1dJdxiMZ1BF71C/z/BsD5VCpDLKICKbSWVYhs+hrQ/vikyC8vjv40sR7Szk2U0HtX11p6Wqt\nKU4P2iwOSq5qQ7vVKW9HprrDFW4uWcQVBPIJMhk5nDchvNuZ5KTiFsx8u2eaatjtbeJvZNHzy54O\nnDaxlnoqfKsskFX3e1xA6TZAXjYZEWVsaESI3E0B2w1U7kGkURb1P9OmBLMSgdBXF04k4ZKHpS6E\nuwwffAvXKROY0zCdIRDjHLUXb6ksitWFe6HAmS9GDE7FEplFwDQFq0wgEFgb7H/+XaYFcgzKnqFF\n/2ds1HjbGWj9JJQbz3RkVbPWpwXX+nL+Dc48fNWj5OzA8H2yOvSsLfaKg/eEHSvJ1rGhhUKajPu1\ncDZeNdI+BzQqMs48rpdtDDBJFaQy2tDoZ2pT9rqgRlvxtaF98Ul4tDDcCIT3fTn7vun+Sgffxh7Q\nTzQcKo6ztvB+nBlfwoYm5PbqlFOkzmOYazls7pn+w3nND5CJk7MtgZ4HstPi13jyX+MQNgU2YkOj\n3BNfKKT89uxZTqElvYEfsEU2GRELk5etDU0HG1pnM9+SVpQLNxXM3bdzduHUMTmEl+nzcF24IPVT\nGeJk7ODLCzbkELjXT9+jgQTb0LM+GbG68JbUN4XWeipsJFx/Cq7YgSeSRWOV5gDAquY+uRZqgRyD\nctfBz7hVu/NPQLkr7MCzh0BrXS+oIrucmt/FVPw6mxK4fK7tYNuv4nyVNjT0KKpT4UVZG1rlLglr\n/bMk8FQEG1pGZpFaSVnU12j7afiSRR8IAXunkggPxTee5BA50lVJrFWxy5weJIuOlYR1Pmlicl5A\nWSTUtuqUvXM4suuo1Hn093A1y4bW2H76ySLNd5AbqipNRSA5HtR4W1QWWTMcUHhslSilySJ5l5c2\n04YGCz9ga2kyIpbOLPoNyANogHdnQ5tJxHB/r4jpwstDeghvpC6cPmMuoTWG2MR3rWy8xoZ2/24w\nTL6lDY3rEy6sf+NOCp5SxOBU2JCXOM/CcOX75Fapyo8fKkWrLKrPP3Oo3Lnz4Gdcran2DbDzF9gR\nYpDW+nJaUFl0+uPd7x7CFHXoqbaDMQtSMFjn4UoTRu3zUubcr6Iqmo2XstY8kMA/Yy+dCrIWZtnQ\nOLWhFVYWLfQM3zK+ZNEHomnSuW20bplFr7G5KoGbSqITDsck1AxrUiqYHQ5wJZVQihXtpC2UYFly\nTQL9+7fSkHNpp55jUucxuJnBgxLDNjQzwZO/Jfi+zKIXaxpKhYlM91W1g/YiqGeWxi0D4cGGNvN6\nHGpXMnwPVUJZpA6B1O5OAelwbjPfHzFlkVfH5BBeZk6DjWRo191k5iqNITbxXSsbj3sD+3BNGAiw\nNxwCMXPBBQNkSPsdmEKWw6noa0PMwRQFa5PzFx+w3Miin1EWVf46ePDdajbeT6Cprx8ji0hZtNxa\n0+9iu/h15uUhWR161gZ71b+/DWHGpbN4bI3ai96hwyhI1VjIpbHHuMqet4Ud1wWJwZIwbr4NTRfO\nsgrP8IyGvHfBlyz6QDxaGNTG1CY5oIOv6FpqhIJcwR7AvLlrn+uCVEIpjWjn2s6yoAFdsmgbxOD5\ndzO9omlJNricSRbZQbLIinSZ9ZbQq4hZSY23NEhRMjQZOrMdWGLT0PS/nJ49ne9xZl6aiindJjSI\nJaM+AdWv3ikgqXZMnakscnqwaZDsEykhvNyccRloBaJgylJkUWziu1Y2Hu9plTOQb0kWxerCS6vI\npsIu0IYGTFOwpuT8SWqB/CEFwh4X+AHF8GpNtW+Agx/+Hgli11it9YIqMrK0yfZ3D8GpXzgkNrGd\nI8qiYDkqTAwwO+wEGEUYSpR59uz9FU7FB6e0HktaDkuiNs165rWhNT9Tug2tr9H20/Aliz4Q4kEl\nEQiEN9xUEsLBt3tg43KVil3uNMxA3g2RRSmNaM2LdC5ZtC1ikKS0c8kiz+cRg80907+Gjcz6NabY\niyLY0DovSDaPdPsp3Gyo/ZvAC/bJeSBT0ReYOZd0a8jLgetRHrBzBWxo6himgLLHhmYzQ/O5N4PK\nSyKLUvIXmkayfgKBBwKhzHNvh+vggW2tbLymsfH+e7QQb1lBHqsLD+TliyillzpoTFGwHvxlVIFQ\nHRr7rbn+jALh4K9wA+onx7aZjbc2vHM4RJ49BNXm8unLcgRCIIv2I6pvdcCOaVgzvp6n2uIwsMe9\nWY7K29CGbNFjmGvJjsHoGhUzwMheWLZKL335GcXgVMxRFtE+xBRWm/U12n4avmTRB0LCwnfsGOEQ\nsxECIQe3A1tHRigqqBU2JMzpQWXRFBvaWQ+H/6VCUR3oizTFjKFuQxT5iC9+DHODB5U3YWr0iCaE\n9x2VRc2GR1XdnK+q+S42Bmok6maWdVGz9PDYyWgP66pbxctV9rPHOwcJ29vsBpDSbWHykmxo5llZ\nxIMNLe/9IbyBHVDtUVhnSgivtMONZMEqV0hZFDv4rqXGE94+B1wzBf6GQ6BYXTit9evY0J6z33Jg\nxT7pvnbWYs/0qHVbtYd8c1nfQj128PUbtTuvjev1DM48MBIyfVvr5QgEc21+1xhZFAj/BFvUJbLH\nVbJtviqsImkyRvP22TeV7fL7QWqyGwsUlwWIwZK4qZXzA65L29D6Gm0/DV+y6AMhvb5TFjHOm8yO\nNyaL+qwg4G3FbsLEYw64H87kmGJDa6YumfLYFkQMbsWGVrebG7GPS51HMeNwDsRtaE0I72scTBZF\nSyh2CVbP1SpqvKVBeTp8gPC7lgiFDn95DefZXXPTnMOQtaapLB4gi7w8YL80eUk2tJ4p4M32k6ks\ncmbQhiaCpH78oBGrC6esqhJZEqMT35Wy8YR/tvNZ9p7KolhdONm9cjO0lkZo0hm4X1NhxTEpKJgO\n5WOHyl2rLLLX9Q+VZ2rSGrhn1lLjbR0XIhBGiEFq/LTX5cgi25IRu0N8bxasxAlk0Sminlecmq/W\nIItybWj07Fn+eV+He2ZkrffLr3VJ3HIQc2xolFlU9proa7T9NIySRYyxf8gY+38YY//XwH//G4yx\n/48x9s/a//dfdf7b32SM/QvG2L9kjP39JT/4F/mQsE/hqOZN5eqEPhsaRPNC0IWmzQTuDNxgG9oE\nG5o2s21ojHMYzzfTfHfzxc/MLBIKgvmkoNxHeOegmO2tXQemhfBuCk4/kRwQ27ShUcD9kIxYTwiP\nnQxrniaVc0i3kIcwQF5OyYhIBtnQ2gled2MXlEWZ0nuBYbJI7psDb0r+QuXOg41klFXlChAIYwff\ntbLxGhva/fVtmQR7w0N3rC6cFzyw5eCmLJp30EhVsJ4TCYTdsTlUlmqBjOEaVBKRzKINDiXWBhEw\nfHStG2LQLUkWtb+rOvwh+ufos6UELkdtaGIdG1pfq2Qq6NlTIhsvrPWIyp7ua7sVG9oMZRHtQ0pf\nE335nZ+GlNX5HwH8zZE/87957/9q+//+GwBgjAkA/x2AvwXgrwD4u4yxvzLnw36xDGRP7bJmMqhv\n3hI9KgmaNuvCcnXu9VNLDWGSDa2eb0MDAA0JthEVmWmnV2qusih4yaevdfCfD5BFU2TWm4KtoR9J\nTlFBrKDGWxpBWTRgBdF8t3yDWAvm9NP3yIRCxUxWxa4OzW4DSgV1QMXMsiGbD21o3Y0dTdtc5jNF\nOP1EchDk7k/av35846t8AoFQYBOfcvBdQ40n/HNjo2UKYiODgSmIBYqT1bSU5XAq+lols35PooKV\nWqrGDpX7QBYVCvaP4HoZsZdztYoab+u4hrWOD9P2rfrHLbjW9Lt2x/h1JvbUujdO+EdtaK3lqLQN\nLZYxOoZggS2QWRRU9iNrHYjBHyCBc3BTK7+ysqjHmfJhGCWLvPf/BMD/m/G7/zqAf+m9/1fe+xrA\n/wzgb2f8ni8WRFBJPE4g37Q1JcDWsE8qiXVaU4S3g5Nzan4463nhf1NgIDajLLpNr+ZlFoXgwQxi\nkKZEbOBAe5NZb8MjngrmnhUxpGYprcZbGm5EWWTEAdXSodAtmK1hHjLLiKy3GdlhIYtlwFJ3Iy8X\nvB6f2tA6NrSZeUAiYvFU7X2fEsIbqwvnal6uUgyjE9+VsvGkN3APhxzHJLjfxrN+Cnb+MlgXflMW\nvcbwK9QuD+SlpSJVwXo9p6lNDu2h8kfIovbZNHTwXUuNt3WQPXeskWz/60/aH1hurUmRtm+voyGI\nHeXOjb+Poja0NZVFAxmjoz/bPntcCbIoca3JFvgT93UOavNcmpGKG1lUOPSclEXfzKLZ+M8YY/8n\nY+wfMcb+k/Z/+4sA/nXnz/yb9n/rBWPsv2CM/VPG2D/98z//84U+1hePuKkkHit239uGhh4f8lqt\nKdwP2yxoipJmQ5vfhgYAhsnNrHWq1HkUPJ8Y1NSgNKgsIpn1m5FFVj+RHOGeeZFa6lSMTYaKhEKH\nv9w8ZyC05EjO92hHlEVEFi16PeoToA6dNrTbFFAEi1d+wPUjyUGgrI2UYNY9LoN14UH9VCJLYmzi\nu1I2Xr+ySIC/4aF774cboPjM63FxhFbJeZlFqQrWuv3vY8HDXAhcvALT6x8q60u8dn0tNd7WocOz\nZyTHptrDega/4Fr7uhmuHEbIIlKFjz3DnfPREheyHJVWkbBIxugY6NlTIhuP1LVj9/XxV7NX3gpZ\nZNxzaUYqaB9SOseqr9H207AEWfR/APgPvff/KYD/FsD/kvNLvPf/g/f+r3nv/9qf/umfLvCxvujD\nkErCYDsEQg76VBIh9LS4ssgM2tBIKbSmDa2pU36RjfQIyGNPPuxczKk0JcUEG/ArUwjvNSGEd1Pw\nBhoP1+1Karyl4UcaiZw8YOcL2dCsfspAoGsp53okcnuILAoZEUtej/oEqGOY4FWdKSCfa0PzBn7g\n+ViFEN7xje/eXwfrwklt4gpYrUcnvitl4/UptBxT4G/2Xh+rCyeraYl8qhwsFY6aqmDVoaVq/J15\nZnuwUi2QERjKIhwKRxbVJrPx1gZ9j2pEec04xxn7ZYlB/RtXr+7V+j1QiYT/tVWYDJW4BGWRK6si\n4U7DZtvQyj17aHCqRgLFhZS4etXkDG4AJgRcZyiL+ErKovYdOtdKvGXMJou893/03v/79v/+MwCK\nMfYXAPzfAP5y54/+pfZ/++IHoev2IfawcbHsvW1ozNZNLlP3fyuYY9GFeGif6+I4lSxaxIamNpNZ\nRJOw/VyyKHjJc2xoFCg8kKvShvDqjQQKpqKX5KCcr63Z0EhZNHBga8Jjy/ybejMQOFXsZlyP9Qh5\nuV9Y6eZcQxZVv8JU905Z1B7Ovcn7/iSeFTGEXXsIGgvhtcZE68LpM7oC1y0dgoYOvmtl4yk8k26O\nS4g3s6GN1YXzF2tDI1WjqvrztFKRqmCl61GNKBAA4Io9+A8oi0Y/I1ebzMZbG6ZtsiNSPYYL24Gb\n5daa6xPObNyWU+3JShy/bk91s9ZjNrTSyqK+VslUlMzGm7bWFbhenwTOQW3zlUVKrqM2C422IrMl\n7w0wmyxijP0HjDHW/t9/vf2d/xbA/w7gP2aM/UeMsQrA3wHwv879+76Yh6AsephK2zfNNghwz1YQ\nqtg1uuy/W3gLP/DyUYJDcoazTrOhLaEsMkxspiGHpLRjUucx3IjB6WtNZBEbyLuhEN6Ueu8toZmw\nDVg3N6osGpoMeXlYvkGsBfPP7SpshkKLDsFD1yNZEsjqMRumVVypQ+8UUM60/chIZtHhV1quyqWd\nsA/VhZP90BcgyUcPvmtl4/WRRUy+XQX5WF04EcL+xWxocqYNjWyOY/c1KRDGKs0B4Mp3EKVaICMw\nNdnLB97rK6nxtg5SXFYpxCDbgS+oImPmgivGySIKXPYj6lDaAw/a0MQ6xAD3Njuz6EZUL//sce33\nt0vI77zgZxSDOTDWQXKGlkaYBNqHmOJkUeNMYRnqp3fBKE3GGPufAPwNAH+BMfZvAPzXQONN8N7/\n9wD+cwD/JWPMADgD+Dveew/AMMb+HoB/DEAA+Ife+39e5F/xRTLCQ+zRhrahHJsc9NVhBvtE5kQ8\nFQLPlcZdHCoxmllUGwfj/CKZRZZJ8K2oyPQJV6+wG5E6jyEczjPWOjRpDQQKkwTcLlhL+wpg3sAM\nqvE2cv0QXJwsQnWEYhb19YJqN08B8IgmMPP+e6RnT05eGj3D+YANLWREJASKJoGUB+oXtO6xoc0k\nYgQM/MC9tU8M6zz//nf4hRiBQDa0AmTRyMR3rWw86W3IwiJ4rt6ugvxWF95vQ6N7vITlMAt2GQuD\nTGyVSrWrAEDN9j9CFrkLEVr99+tdRMDMcot3Btn0x0KmAaBmB4gFCQRhTrjy8XclkZZj+yNS1w+p\n50l5UjrgmjsDPdC0OIagYC1BFiUGigNAzX6GBM6Bcf5OqTwFKhCIpUPPNQwEPteElkAWee//7sh/\n/wcA/sHAf/szAH+W99G+KIGbSuL+sndbIhAy0FhBHg5sK2UWSW+eNvFdHCsxakO7vUjnyyDthvKp\nSOo8t4OADuc5E59bZtH8EN4tgTsN+6jGU/l2vp+Ep0aigcwiIhnOp3+/OFnEvXm2oYl8G1ogLwfa\nlVIzIpJBFrDqCH15tqHdDud57w/lzaDFkwuBs69GszbImjPUSCZVs6a+AGETJr4DVtm1svFkD+nm\nuHo/G9pINTwvmBuSA+8oHHXeWyxVweoDgTBOFmlxgPwJsmjs4Dvj+fhJIHvu7lcCgcD3i661tGfU\nbPxdeVOHxt9HNDB9BRvalecp2UM2XoEBdGifS1jrK1+WGCwJbd1du+oUMMYgOSsecN0XY/Jp+FxN\n1YfC6sZS8DiVtpDgbyZX74L1WWpWyjaQY8oiJUZtaGMS3SnYkuWQmzMumH94n5NPdWuf6p8r3EJ4\n34ss6lXEFNwMFUVosxhoEFPUILa8lZA7DffYKjfj2UPX8JCyKGREjGzOk0HZB+oQwkXvySLKLMp7\njsZsaABwSQjhJWvOUF04NVGVsKGFg+9gZlH5bDzvHCpmnxobPZNvV0E+FihOdq/XsaHVMJ6Di3nv\n7lQFa7Bu/xpvEDV8D+XWf5bTZxw6+K6lxts6vKZGshRicA/plitxkPYCnaIs2h/hPAMbydAZtaGt\nFGYsIu3Foz9Lg5MS160+w3mG3W5c9aT5HmojyqI5ZBHQ7EWKB1z3Ndp+GL5k0YeBlBWPKgnH35ss\n4t48qSRIWVS6Yrc5DMVsaHLUhjYW/jcFjYpsG2vNzRk1n6sr6iiLsjJiWtvPgLLoFsK7jarSVHBv\nnkgOumdKePJLwgcbWv+1RDk/16WsWx3wnireEISZ8T26seuxnda7pZRF1KqibgHXquPdJ4sXMogY\n7xxUD8nRxRW70RDesbrwkGNTgCwaPfiukI0XqpqfbGgS4s1apcbqwkuudQ6Y1U9NrDlIVbBSKcRu\n32/T68KIAyr3A4dKfYoefLeajbc66hNqL5Msjs1aL0cWKXdOsmsxznFBdbMzDyDZhlZYRSJG9uvR\nn6XBSYFnD9MnnLFLys1ZmhgsCWM9JM+zoQHNXqS02qyv7OXT8CWLPgx0WH60MFgmITZCIOSgTyUR\npgCFLTXSm+hh6KA4LonKov0SyiKuNkMMpkqdxxCsCRkvcbo+hpq0gsz6zZRFoqdCls9olftRBGVR\n/xqSpaUuoiwycE/f4679WNO/R5pa8gHiizIi3FLkZUdZpK2D4Ay8s7mTbctTzgZZ02EwRhbx8VyV\nUBc+QCBQE1UJG9rYwXeNbDwzoH70b1hBPlYXLis6sL0I0eAM9AJT6WpP2S/x+5rpM05+l6RksnKP\nqlCwfwxMn6MHX7qOSzfVbh3cnHBJaCQDACv2C5NFV1iRtjc7J6hDg7LoBWxoMSdA9GdD2cPyzx6m\np6z1ssRgSWjrZymLlOQr5Fj1NNp+GL5k0Yfhlndxv3lx7P0mkF1w/2xD4zNbfFIhMZZZJINyaAjn\nET/3FDgmNtOQI+0FNc8LG+witFTk2NAG1HiEEMK7karSVPAeOfZa98zisBraD7dZUJOVLqAsEl7D\n8iFlUX4b2pCyKDUjIhlEOlW/eqeAakbAdWjnjGzOU8I6QyPZgBUsNFEVyOUbm/iukY1XU7bLow2N\ny2ZY8UagQHEKcn+EfDVlUU9eYg4oE2vsvmb6N66Jh0onj9j79Q+VbITkWKupdutg+oRLYqKjFQfs\nFlzrnb/AJgZBN01scZIzZBap/ntFrhRmLCPtxWMQspyySJgzromDUyv2qH7gvs5BY0PLVxZJzsor\ni3oabT8NX7Low+B0f7OT25DaJAfCPR98SSlSoiGHELIkZrahjYX/TYFj21lr5c4widOrGMQMkoNa\ndYaURakhvFsD9+aZ5JAFPfkFwZyJWkHo4KkLqMOEN0+bzzmkG2WxDF2PlBExJvtPRrChHXungMEC\nkaHk0HQYjCiLUkJ4bZtZNFQXLmc2tsXAzBnnyCZ+jWy8EML/+D1yBflmbWg2VEj3r7UI1+NrEA3M\nLWNhSFWwNjl/aQSClwfsf0BZJPQpevDdbDbeyhA2nUDw6og9lvs+d/4Cq8atjkDbujemLGoHpmPK\notIqEgETzdCL/mzBbLwpa23lEbsfuK9zYJyDnKMsEnyFNrRnZ8qn4UsWfRhu+Sv3m4l3nEB20Rx8\n7zfSt5rLgvaA9vv2URuaWN2GthVlUeUuMJk1pl2Etc6xobXXx1CTFtCG8Oo3s6H5HvtUsG5uiyzC\nSJsFZd2UaLQT3j7J2slClpOhNUZeUkbEWKBoMh5saI9TQEkKpwwbs6mb6edjO+fdX58Qwmtb9dOQ\nsig0UZXYxOsT6ohKYo1svJB99WRDU1BvphgeqwtXL2ZDa4jq+RaGVAWrsOekSnMAgDriyK7whXNg\nHsHtJU4WtfvTb2ZRHMJeUCeudaMiW26vu/dXeJm2N2ua2OJKlzEbGilaS6tI+lolk392ZtlDDMJe\noBPzO7064rAZZdFMG5oo34bGewqSPg1fsujDEA6+jwHXbDsEQg6E1z3KonZ6VXACOZQl0cUxQVm0\npA3NM7mZOuXKX+EWUBaRIsZnEIPONPfFUPsU0Ibwmm28nFMh/POEbQ01Xgk00/3hlz1ZPEihsiQE\nnp89QVmUcaAlVVeMvGwyIhZSFpHtpfrVOwVknKP2IktZFEiOiPLSJoTwjtWFcyFgPC9DFo1MfNfI\nxtOtDe3JKssVJHOrkwElQTasamCtb8Tga+xnGhva/Pd2qoJVmHNSSxUA+LY98HJed9Ah7Tl68F2r\nqXbrkPacTBahOqJiZhECzjuHA67wicoizfej6lDaAw+1oSm5TmaR7Nn3pGKOJXv0d9szdGIkg5cH\n7LE+CZyD2TY0UT7guq+k5NPwJYs+DHQ44Q9Br57LtyaLuLeDNrSSFbu3ANfhB81eiUAGDeFmQ5v/\nwGrWehvWhClS5xjkHBsa2X4ijSNNCO972dAEhq2brzK1T8WYDa1aOhS6gxjplvPsoZ8JOTw9aDIi\nSiiLPFRPc4mBBMvKLGrJ9IH8JQCw8oDdSFgnrdsQWdR8RlEks2hs4rtGzlfIsXoktNv3jn4jhQYp\na44D7XNCysaGWWCtc7DkVDpFwapcutqEqebweTktT5LH0NSuDx9812qq3TqUvcBMXOvzAmt9vZ7B\nmQdUGnlhxAFq5Bl+ri0qySEGmrGogdO4wplFiMdGxBD2iAWePcpd0iMZqiME87heXz9Hc24bWpNZ\nVDjg+ksWfcmiT8OQSsJz9XatKV30HdioNaVktoFNVBadE21oQ1OXKXAbqlM++Au8nE8W8RkTHyJG\nYvW0NR/35G8NzYTtwbq50YlvQxZFCNvjHwAAbqlQ6A6Ef67ipWspR1lE1/CQDQ1Iy4hIBikZ1LGZ\nAsrnbYNhIsuGdiM5hv8tTh6wG8vaaD/jfsCGBuQTWmMYm/iuocZz4T1zf52xEK69jfyKJCTUhWvI\nLKVbCTBn4BZoQwPSFKxqgnVbtO2Bl9MfZ3+2KahGateDGm9j75m1McWmz1oV2fX3/MbPS/s76HeO\nwYjDaODyWduocp4Crk1xG5qNxkbEQBZYFCA5Kz99rS8LrHVpaDs/s6j0NcF7Mm8/DV+y6MNANrRA\nlLTwXL5dEGYXsqcOU64Q1muGgkc7OFYCxnnUZviBNxb+NwWeq03kU3nnsEcNnzi9iiEE3GasdbD9\nyGH1gOZ7yI1UlaZCePN8z1AeyMYmvmxkuk/hsaiXJ/wknr9HyuTIefYE8rIavh7rBNl/MurfgNwD\nXAxOAQ0kWMY0NQQzR5RFKSG8rP49WheuWd5nHINyl5GD7wrZeOF7fLgm2veOrt/n0J1SF24gwDLI\nyxLgfpk2NCBNwVq5S3KlOW/JonplZVHl458xqPHeSBFXApU/wybmBvFADC5AFrW/gyeSRS5BHXqq\nLY6RYSi9d+qCKhLvHNRIIU0MZIH1Bd4zO3eBTRyc8qr5c5cC7a5LQ1uHamZmUWllUdNoOz93bsv4\nkkUfhluTzrOyaCtqkxwIPNdhioL+YkIKWUSh1TF10VlbCM5meXsJW1GRXS+nVuq8gA1tRsA1Kc9E\nxPaj+R7Vu5FFsIP2qVdpGkoF93GySKkKxnP4AiHlEgZ4VDVSa0qODa397uVIKPRYoGgy9DnYDZp8\ngR5lUTZZNK689NWv0RBeZs6jdeEWeeqnMYwdfNfIxrsVVzwqi6iC/H2URSl14YaJIiqyHCw5la7Z\nDmLkvm7IorR3JimL6gLB/jFU7ho9+G41G29t7PwVLpEsErvm+15ira9txhXfpV1nKerQs7bYR4ah\njMVu8nkAACAASURBVDX735IqkpTYiBi4ELCeFdkf7XGBl9NI4OvKJHAOjPNBNZaDNTKL+hptPw1f\nsujD4IKF4XECWUFuJMcmBzGVRMlsA9tWQ8fafiiHKJZbRFMXxuaTRdiIioxyFFg1nywK5GiWDY0y\nYoYPKDbBk781NCTHgBpvY5t45kx0us84xxm70fDYHMgeGxqpTbKI6kBeDj9TTEIodDL0CVBtW5zr\nby6xmUoOa8aJWCKLYyG8KXXhDaG1PFk0NvFdIxvPDWQWEQlnN6YEjCGlQlpDAS+inl0y70KLw6hi\ncI8rXOKhklog65UVCGMH39vz8assimHvr3CJahO5ayy69Xm+soh+B/3OMXh5GG3nOtdxGxoASM6L\nZhbdhrt5bWhAa4EtcKbY+xoucXAq2j2zLlDYsTS09ZB8bhtaaWXRc+btp+FLFn0a6ODbY0N7t4rd\nLkSPD1nNsCalIsVmQS/IUz38/Z9ru4gFDdiODW2q1DkGWTUb03mZRRGyKEFmvTUob57umZsNbVub\neO6eG8kecWH75UKhO2iqePszi3IOQ3QNq4gNLSUjIhn1b4A2n9b1TgENU1lEDDWExTKLSFJ//j2c\nqyLMeF24YRLcLX/d7hCvkF4lG4+URY8EIimL6vdRFqXUhVu8kLLIG7jMdqVHpChY9/4Cr9LemWrf\nHPbNyofKg79GD75bzcZbE00j2SW5kUy2eW56geY73ZKLRDaOwVe/sGca1gy/I061wVHF7xMlWDSu\nYS6CXTczswgok41njcGO6TC0GYPcN7b6tUngHBjrUMn8IfgamUUCzzEmn4YvWfRhoMPJow0NQkEx\nu4mqxRwoaIA9WkGouaAccWJoEx85DKXa0BYji8RGbGhEFiVuSGKYVWkalEXDLwvXVpW+E2SfDa1g\n20dJcG9gR0JmF20Q60BFFFpzrkcVIS+dPKByC12Pjza0nimgZQI8x4ZmSHk5fG8xktRHNr7CjteF\nW1ZGWdQcfCNk0QrZeJSH9Bh6TkojWzAvaW2k1IVbJrOuxxIQ3sCxZQ4aYwpWZy0OrE4mEKpDc2/Z\n63o2tJSD7xpqvK2jri8QzIMlrrXaL7fWprWypZJFLCFD56xd1IYGtMRAwTNKSmzE6O9gYvFsvPOJ\nAsXTLIeqva/NBsgibd0sZZHkvGiOFdBfkPRp+JJFH4ZBSw1NIN/05Sz9s7JIiKZit+QEkg4IcRta\nSxaN2NCWaEIDAMYVqg0Qg+Stl0soi4jkyJG1W3P/O3rg5QG7kRDerUHCAA8k5410e32ysYuU6f6i\nDWItnLUQzD9NKmepTZyG8wxCDv97GvJyqcyijg3NeqieKaBlEixDrejC8GL43iJJfSyEN6Uu3EGC\nL6yoTDr4rpCN58JQ4sGG1trN38mGllIXbiGyrscSEAsqi8YUrHQYZ4mlENWhaYFckyxKOfgGW+qL\nqMNeEaHpKtGmXx0atYm5zicQ6HfQ7xwDEVrnSDvXuTbRgGugaUQzBYmBMLyYYUMzkIsPoC+nae1z\npBi0Bdpdl4a28zKLSudYAf2Ntp+GL1n0aQgWhvuHIePUmvJeVhpCo5J4/DdzGIiim3iyoYnIpOIQ\nbGgRZVGCnzsVRJrZFz/wT5U6xyBJuZDxEic1XkzJQSG8zr5+FlQKrDENyfHwglStne9VaqlTIdx4\nboheskGMficFCy9oQ4M1TS5CBCkNYsnQpztlUd8U0DKVpeQIipjIvSXajW9MWaTseZRAMAXUJikH\n3zWy8UJj48P3SIHX72RDS6kLN5nXYwksqSwaU7DSYZzUeGPYHZs/5+rls9qGcMsiHP6MSjX3ckk1\n3tZBxCBPJIt2rdrEXeevtW1/R5W4N7sFLg+TF6eEqAUlOOqCxEB4Ts60oS397Akq++S1Jnvp65NF\nxs1tQyubYwX0N9p+Gr5k0YdhMH+FKnb1a2ywloaC6W04aCp2y2dJxGwWh5VtaKQW0S9+gAhS50Na\niGIMjHPUXuSRHE7DeB6t5aYQ3utlvU13SdxIjsc2tPJqvBIQGG8k0mK/eEg53WOPsvZAPGYQtszV\nMIg/C1IyIpJRnzqZRb63kdExCeFzyKLm8z0qYrqQOwrrHN74Vv46WiHtMtVPMaRMfNfIxnMhKPzB\nhtaqz7YWSB9DSl14KcthDpa0MIwpWKmlKrUUYn9slCF+RQUCNTTFDr5rqPG2jkAgJBKDtNZugbV2\nrRKNfucYKHeyvgwriy4Je9wmn6aksogy9PKJAVvAhkbZQyKZBG72zGuSwLmYqyyShXOsgP5G20/D\nlyz6NLSHE/WwqaTDjH2jil2CNaapYO9hhg3Lq3xOxW0TPzw5T7ehLfOwYi0BEGpCXxRB6ryfTxYB\n+cGDzOrRw3lKCO+WYEKlec89AwH/IlP7VPCeNsRHaHFcnCyiavjHZw+RbjlqE2Y1DItfj3RYJOXL\nLOjfnTa0IWWRAM9o0xwiObpICeHdJdSFWyYhFiYQaFIeC+FfIxtvKIuQsvLciz/rpyClLtwxsbjl\nMBcCy9nQxhSs1FKVeqg8BLJovUNlfW7ekbHPuNVsvDUxlUDY/1qOGKTfsfuVRhaF1r3I+4gaf6O/\nh7OimUW34W68WTOG3LKHGEhVKxL3wrsfIIFzMTezSPGyOVZAf6Ptp+FLFn0anIb2Auzx5mw3leaN\nNpWEISsIUK7mkuASJhU0TYkpi1KmLqkIdcovvta2VRLQlGQuDMv0kjs9avsh2f8lkquyJdzk2M+H\neF2g7aM0ZMJ034nxpqGpIEK2L7NMQ+Yp3bxpchEioIyIRa7Hu4BrDyWftw2eSfAci2f7fIzlgVXt\nxjeWq7JLqAt3XIJnqJ9iuB18IyqJlpwvec/csgjvvwPeHnrMGwVcp9SFW6YgXoRoaJ49Cx00RhSs\n9Xla8LCQElevGqvpSqDPGDv4Vhtt3VwTemLI9G53aAYUer7V2re/45C4N5PtWuuBZ7j3Pkk9LwVH\nbcopi2jfwyNOgDG4Aja0oLJPJoGb73tNEjgXxnpUPXuKVChZNscKoJKSr7Loiw/CkEqCbFJvSRYN\nWEGA8hW7tyyJSMB1qxiKZRadEsL/kkFh5i+uIiMJ7W4xZVGePJg50xBNEVAIr95A+0QKjIkoiwrI\nrEsjJTfEygN2S9XNt4i1qzTXY4YNzepRsuiWEbHA9VifgFY507Sh9QRcc5VnQ2ufvSIyySVlYYws\nSqkLd0xBLKw2SZn4NhZYWdRS48N75lHBptr/vq37dQi3uvBxy+GrKIskliOLxhSseqLaBADObAe+\nIlmkW4Vg7OC7hhpv66C1Von7I8Y5ztiBLbHW9Qm1l1GSvwtqYhvK0LkaB+8xShZVoqyyiN5HPFIe\nMQZbQNVI31uVGMmgql0Tu7DifZ2LRlk0w4bGy+ZYAe0zfEbo+TvgSxZ9Glw/WXSr2H0/sigoaHoP\nvsvnWHThw2Fo+EETlEX18OdICf9LBd8IWTRV6jwGgzzLIXMadsSGlhLCuyXEbWjLt32URkpuiJPH\naHhsDqymdpUB0i2DQOBOj4Z102GRlC/Z8L4NuG4OqWYgX6DJLMq4Juj5qIYP0yF/YYAsSq0Lb5RF\nywbQ0yZ+7MBWOhtv6D3D28Oc21gg/RBudeFxMsTyVyKL7GJT6TEFq7k2Np/UlioAuGAPvnALZAwp\nB9811Hhbh21t+mrCWp/ZfhGyiOvfOLN0qxYFLtsBKzENSsfb0MpmFpFdl88gBnKbQWO4tc+lD04v\nbL8qCZwD7z2M85CzAq7LKouGGm0/DV+y6MMwpJIgm8Q7ZhbFVBK2gGS0ixRlkRIMgrPVbGgI+VSv\nvREjCW2q1HkMdpaSI/6iICn4uyiLbFDEPF+3jRpvW4fPlOm+VwfsF1YWUWBm37NHQ+VlFnkzTl4G\nsmhmZoG5APB3bWiqZ2PnuYTAdCJmsHChgwNlbQxsfFPrwh2TkAvb0G5kUZy8KJ2NR2TRYxahCO/1\n137WpyK1LryEiiwXS9rQxhSs5tKQPlMOlTXfrUoWkUIw9hnXUONtHaGR7JCuIqvZDmKBtWbmjCvS\nyaLqSFXu/c9w2vuO2tA4K9uGRrERMzKLSlhgfcZaX5ZSkRUEtZj1qZVTIUXZzCKKMWHfzKIvPgnM\n1r0Whq3k2OTA1JGDb+HWlFuWxPDLhzGGoxKDNjRtHbT1i9nQ+FaIQX2eJHUeQ26dMvNmNFBYtYdz\nE7HKbAmGFDE93n3DVFE1XglI2PFGInVExeyiLYF0j/EeZWEuecmdhhmx1IWMiEgodBJoc9+1ofWQ\nRY5XWTa0lOfj/hDPX0itC/d8eQIh5eALlM/Go+wrWd1/j7dWqfd4r6fWhXueqXQrgMbCsBBZNKJg\ntRmlEDXbQ9r1yCIX7pkRgrWwGm/rsBMbyQDgyvYQC6y1sGdcWTwjrgtSFvmB/RGp6g9V/B1dSQ5T\nkCwiu+5jUcAUuAKqxtta/yH5Z5q1Xnb4tTR0u5Z9OYipUIJDWw/vy6iLwn5wxjXxDviSRR8G5gxs\nD1lEgW72TbINurAxZVHhbAOfYLMAgH0lcBlQFqVOXVJBa21efK2nSp3H0FSa5h3Ox2w/FMI75Mnf\nGmLB7BYiK8z4JyESlEW3BrHl1GGhXWXo2ZOZoTV2Pd4yImZOFmky2ap2jPO9+QKeScgci1cgi4bX\nRkiJSySEN7Uu3GWqn6K/M/HgWzobj1pOH4n1d8ssSq0Ld0xC4OefUd45VMwuNpWWbZC6HnjPEKE6\npRRC8z3kiodKyiIcO/iWVuNtHbTWU1Rkmu8WIRCEvaDm6WTR4Vez1oOEf92QBoekNrSSlqPWhjZj\nQJltyY6AIhn2E+7rmi9DDJaEbu1jczKLSJVU6roYarT9NHzJog/DkEqC5OruDTOLYioJm9nikwqf\nEOAKAMdqWFl0rpcli0hh9eprPVXqPIZcL/kQwdoFTXLdBqpKU0AkR58cu7QarwSkt73Nbl2wikKh\nF6ibb0EbjT5lUW5eGvcGbkTpFjIirjOJr0AW3TKLetvQeObhvCU5VBU/eFwiIbypdeG+wCY+deJb\nPBvPkQ3tUVnUfK/uTew8qXXhJVRkObDt9b2UsoiyscyAYjDnUKnFAcqtqCwKZFGKGu/n1/BVQWt9\nnJDpqPkBagECQdrzJLJot2/eH0NW4lOrLDomtKHpkvk0pvkcsYzR0d/B1eLZeEyf4TzDfoINrSGB\nX5ssIpVYn1o5FZR3VCq3SEfyOz8JX7Low9CoJJ4veiJS3tGGFlQSfVYQtnydchfUUlNFbBZAM1EZ\nIotC+N9iyqLWhvbiZNFUqfMYbKYNjftxZdFYCO/WEFq8BmxoJe+ZElAYD7gWSzaItbi1q/SQbpl5\nadyb3md4F9VS1yORn9UveO9RD7SheVE1Qb4TQfaox6ydR8RCeIlAGKuQbj7jwhNfqpAeObA1a13w\n4Gs1jOfg4v4dQUqjd6kgT60Ld1xBvgBZFNplF2rSGVOw3nL+0gkEIw6o3HrKIlb/Tjr4bjEbb1Xo\nE2ovoKr0gVpDDM5fa2XP0CKeEdcFFwInvwMbGKadEtXzleDBulQCdFaIZYyO/o4C2XjQJ1xQgfH0\nI7vme6gXt6GFzKKZAdcAoAvlFt32wt82tC8+CEPNTkFZ9IYvZxNpOHCFlUWUUzFmQzvEbGikLFos\ns2gbxKAwZ1x5+oZkDI08OKd9ysCNkEUhhPdNlEWOlEW998y2bGjeOShmR9ssRGvxWLLR7pZZ1K9q\nzFFoCadHr0dSFrkB2X8yWjIE6gDbbuz6mks8z9wgu4bkGNsEX/kwWaRbG9poXTiXi5NFdPClyfkQ\nbGFLTZNF2Pdeb6+7N7HzpNaF5wauL4065CUu04Y2pmBl+oSzr55Iwxic2KPyK+YXJh58S6vxtg6m\nz7hMtOlbsUe1QIlD5a6wE5RFQKMOZQPP8EviHlcK9vKZRSXy0piZvtZrk8A5qE2zln0Nq6kgokmb\nMtdFrNH2k/Aliz4MzVT6eeMiWuWLe5Nsgy5CZlHfga2wXD0EuI5Mf6I2NJ0W/pcKHiyHr73W0l2g\n+bKZRTnyYO4N7IhfOYTw6teW/aYi1uJXWo23NEI21yhZtFAodAcusvnMzUtrrscx8rKxRc0ni8iG\n9is+BeQqS1nErG7sJmMfg+0GJfWpdeGeq7xcpegHSzv4ls7GgzO9xRWytfe9S6uUaVuBxtrnmuvx\n54mGpfMuxhSsOYdKq47YLdwCGUPqZyyuxts4uDnhgmmEjZVH7BYgECp/hpXTBnlXDLfuparnJS9s\nQwsZo/mKdsfV4kQ1NydcJqrsrTxArXhf5+C2p5jThlY4syjSaPtJ+JJFHwbu+i0MFGT76jk2Obgd\n2J4Pvj5TbZIM258l8Yg1bWhbUZFNlTqPwTGVtfkUCRkxFMI7JLPeGlzI2nl+VuR+jz8FXTcbprGQ\nWbK26Ll18x3cNp/P979jMqtit7ke4/+WoHRZjCw6hMrivo2dF3lkEZzuVcQ8ouaHYbIosb7eCwW1\ntLIo9eBbWMHKnIbuGQIpUrS+yXvdUdvXiM3KCwX1AqoUIouWsjCMKVi5PuE6kUDw8oD9isoibs5J\nB9/Sarytg5sL6onEoJd77DB/rXf+CjeVLIqoQ4MNbURZVElW1IZGdt05Dby+gA1NmPPktXbygP2r\nk0ULZBYFZVGh6yLWaPtJ+JJFHwbuNVzPVJoUBK+uNsmBi9zsjTWpoFzdaljPRmXhh0quZkMLa61X\nlJ5noHJX2CXJIp5pQ0s4nANxmfXWEEiOvpyvF6qlToHWacoiapUxl+UCrn0kL81lqk2EH89fChkR\nem5mUUsWVccQINnbXMIVFLPwE3MDmDMwI5Y6ADBiP5i1YVu1yW5EWcQy1U8xpE58S6vxhuzlsiUp\n/ZscuilQfDfSAOW5XHytc6B1c832tUrmYEzBKuwZ14lqXK+OOOA6+d7NRerBt7gab+No1noaMejU\nEYcFiMG9v8LJuPX2EbHA5UtiiYvkvGgbWoiNmGNDE8sri6S9oJ4YyeDkAbs17aUZoAGUnJDF9IiQ\nWVRIcRZrtP0kfMmiD4PwtlclESp2X1xtkoOQv9LzAvBcgpeUq7s0m8VRidAI8YhzYvhfKm5r/doH\niMqfYcVyAde5labCm16C9RGxEN6tgZ4DfSSH39gmniZDYy97IovsXDVOB/Tskb0W2EyyCOMZWsBC\n5CWRTepXmAL2ZRahzWTRE3PQhkiOR8TyF0hlMVYX7oUCZx7WLHftCnNBnUAWlc7GYwM2tBAcbrdz\nv8Zwq4YfCXB+GRtaGlGdijEFq7DnpOvxDuoIzjyul+WeezE0TVrjB9/SarytQ9kT9NRMR/ULO6Zn\nPQO9czjgAq+mkUU1Hyb8TxMyi4oqi0JsxIx9Z4Fnj7Rn6InE4NokcA5oADXLhsapDa2Usmh4L/xJ\n+JJFH4ahJh1JFbtvIlfvImoF4Wr55oIOmNW9m/hHHCoRFESPWF5Z1OZTvThZtPNX2InTqxh8ppdc\neJ2kLLryPYRZZ8NdGjYix36VpqFUpDYSEVm0ZKOdj9rQ8vLSUpRFQDwjIhmdgGuaAlY9ZBFZ/MxE\ntWLzfBy/t6w8DIbw+sQqbrTfGdkSl0BqhXQuUZ0K5nSvQotxDu0F8CZDoOS6cFFBLEwM5oCeo0se\nNGIksLSXydZtVjXv2MuCLZAxNFmEP6/G2zqkvU7OdGRVc22cT/nq2bq+QDAPNpEsMpEmtrO2qATv\nH0R0oAq3oZFdV40U0sTg+fIW2MqdYSYOTpn6Bckc6gXfd0vDuCVtaKWURcORDJ+EL1n0YRBew/Vk\nd4S2rhcnEHIQ6jD7VBJcFbWhNZv4cZLnUImgIHrE8plFrTXhxYnBvb/CT/TFx+C4yrKhCW+TDuea\n7SBevKo0FT6S8+VYYTXewjB6OOC+C6qbXpQsCkHh/arGHAJBegPHxw+fDXk5kywKNrRfNxta3xSw\nvU50PVFZ5E3S87GR1A8pi9Lqwik3Zqr6KYbUiW/usycV3One4goAMBBZrXsvCX2CTqkLD0q3n7Vh\nmEj2Wy5iClblLjATFQi8arK+LjMIhClQNu3gW7ypduNoCISpxOD8tb78bn+2mkYWWbEfVIeea5Ok\nnFeChfdQCZBdV45kjEZ/RwG7s/IZkQwtMXg5vW6OZm0ie4pE3GxoZUhEF8ii5cp2togvWfRhEN7A\n97WhtRvpV7cm5eCWv9J/YCsqV3cGNtGGpq3vfeAtbkNTr29Dy5U6R38nk1ltSAJpNrRYCO/mEBQx\ny5EcP4UwGRqxguwpPFYvaEOzw5tPxyRExrNHII28XOR61L8BsQO4CFPAvukvWfymKotiJEcXXh5x\nGCCLkuvC2yGJXZAsUu6SdGArnY3HnIEbeM8YiJDFsXUwfcY5Ie/mdj3+7ECEDhpsRNU4BTEFaw6B\nwNtg+OtKZFHlL0kH39JqvK2j8pfJymsiBuesNamS+G6kkfABVgw3sZ1qmzQMpcwi7wsRRq1dV80I\nuIZo8tKWtH/tXP5aX05/XOxzLI0llEW0HzGF7HaxRttPwpcs+jAMqSRUqNh9bbVJDmIqCV8424An\nZhYREdSnLjrXFpz12z9yQNaiVyaLSOo8dXoVg+d5h3PpDXxC9XFMZr01uCDHfp4A+43Z0EJm0YgV\npKr2sJ7NbxC7/8sBDBHVed+jhAmWqhg030HOvR71GVDNwY6mgFXfFJCImIkFCU1m0fi/BeqIPere\nDXhqI1kgEOrl1CbNwXdcJVE6G6+xl/cftgxTYG/yXk+uC2/JmSXXOgepRPUUxBSslb9OrjSX7aGy\nvqyjQNi5NHt5aTXe1rHzV7iJ1iSxa773+pxvOaSf5RP3Zk4dB5vYztomxSyUDjOGraG9AJsRuAxR\nNdl4C+bE7TC9fY7IvDlrXRrR0oxEKF72mnAFrMRbxJcs+jDIARuafGMbWqjD7JGuNwe2sja0oU18\nF4Es6sktaqYuEozlP1C7UOr1bWgkdZ7qi4/BiyqLGJRIJYuGZdZbwy1rZyCzaEM2tFBfPTLdZ5zj\njP2ijXZEvvcFZjaHoenfo/IGPkGpYMQBaq6yqD4B7WEyKIt6NtJExE09nDckR4KySB0GQ3hT68Jp\ns2cWfO5NOfiWzMZrFFr9z6h3sqGl1oUHYvCH33EhHHWOUuEBMcXg3l8mHyplqyzSKx0qd0j7jMWb\najeOvb/ATdwfiX2T63ZdgCwSE5VFPlLlfq5tog2trIqkKQqYqeBvBzlLqhoP/jI5koHW57pSFlkO\nKAdxVmaRpMyiMtcE7eH6cic/CV+y6MMwZGGQb9aa0kVoOOhjhgvb0JhLOwzRVOXUQxadtcF+oXBr\noEMAvLA1IVfqHIPnMlPJYZOUHE0I73uQRaFCtu+Qw+Xi1bAlYSNtiI+4sB3YgjY0H5G1+8zvUSba\n0KzYz78e9Skoi3Qks4iUE9ZMtaGlNbtR1sb597N9QthTWl14+IwLkkWJB9/S2Xgx0s1Cvg1ZlFoX\n/jo2NHr2LEcWGTHcKpWT80dkkVlJWZT6GYs31W4ce9TT13o3f611+7N03aTCqyMOrIaz/QPRFGWR\nLBxmDKdnk0X07FkqG88agz3TkyMZAgl8eV2y6NaGNsOG1iqLSmVZxRptPwlfsujDMKSSCGqTFyYQ\nchFTSTRqk8Kb+IS2n2NEWXRO9HOnYhM2tEypcxSZwYOpNrQmhPdnbQ9LgUiOalCNt51NPMmI+2yo\nj7iy3bKNdqQs6iXd8hRajQ0toUFMHLFzM69HfQLaTaqJtaHJPBsa9wY24d9Cz4G+ibiwafX19BmN\nXu65lzrxLZ2Nx/1wrpphEmxD92sMyp6gU9a6Vd7ZBdc6B84uH3BtxKFXweqdw5Fdw/2aiurQZLWZ\na/lDpbMWB1YnHXxzlZefgPp6gWJ2sk2fGj9nkUXtM1jtR9onH8DaocOl5xl+1qnKIiIGCiqLEppv\nowjPnmXIIvq+2MS1VgsQg6Vxy0GcE3BdWlnUEv4LqkO3iC9Z9GFoptLPD0MuBIznb1OxewdqOOhr\nUBEKkrneaccS4Mk2tGajf9bPm6PU8L9UEDH4yiqyXKlzDF5kkkUw8AmZE7EQ3s0hQnJ4oaA2NPG1\niW1oAFCzw7KNdq2io28q5cX0il1rTJPllWBDazIiZv5b6t/BhnZTFj1vG6gpZOoGWXgDl/B8jIXw\nSntOqgsnstAu1JDlrG0mvtX4M8pzVVSN13yP/de3ZRLcvcd7XdordEJOy40Y/FnynvIS57QrPWJI\nwXo5N4fClOuxi92xOfTbFQ6VpBhOOfhubSixJkhhySaudSCLZhCDtv1ZdYi3Tz6C7YbVoakD0dI1\n6czWiymLlspLy11r1a61fmGyiNZxTh7rzZpY5poIMSZfsuiLT4L0w+GoBgLshdUmufAhrPf5Zmec\nJKNlNpUsMZODJLjnur8NbVEbmpRNkO8LE4NEFsn9tA1JFFxBsWktFd45VMyG6ySKSAjv1kDPASF6\nrt0C1bAlQdP9FGVRzXcQSzba2Rr1QGBmozaZ9j2G51Tfujz+fnnAfq7SrRNwrSNTQC6bzzPV4sUj\nJEcXctdsfPtCeJW7JtWFB7XJQja0cPBVaTa0qcTgFIiIssi+UWZRatsX2SLdRFvk0qC/f8kmnSEF\n6+WUp8bdtQoRt2Sw/wDoM6YcfIs31W4YpLCcmulYHZrv3V/z19q2P0u/KxW05tfz8zM8NeBa8rI1\n6SyxvTj6OxbOS7ue8pRF1bHZO7sVFIO5oHWcoyySouw1EWu0/SR8yaIPQ0wloSHDJPytQNP9PmZY\nls02EM4MBo92QVOVU/38/S9tQwMAA/nSmUUknVX7BW1o7QF7ipecGi2SlEWREN6twTuN2sv+VpDC\narylEapPE172WhygFlQWMaube60PGYHrJoR1p1yPwxkRybizoQ1PAXlLxLgMZVGKDU22LT59IbxT\nCYSlyKIpB9/S2XiNsmiALOIK/E0UGpW/JtWuB6XbRFvk0qCDBn2eJTCkYKWK7Mlk0a/mUOnrDyY6\ngQAAIABJREFU8gqEKQff0mq8LeParvVU5fX++AcAgL3mrzX97P44bZB3a2J7VhadahvU9TGUVpEw\nb2AShrvR3yGXHUrUF1LZT7P97VplkZ1BDJYG2Qn7SjNSoXjhHKtIo+0n4UsWfRBIJTFkYTBMgr0w\ngZALZjWcZ4MqCaBcxS73enDi20VoQ9NDbWjLkkX6xUNPc6XOMZCyYIo1QdN1kWD7iYXwbg0NyTFw\nzYmyaryl4SbUVxtxGAyPzfzLhzefXEEwD2vS78Ng80q6HpvN+XlOG4o+dWxoMWVR3uFceA2fsDmX\nQVL//G/ZuUtSXThlDkwltIZAB9+UEP7S2XgikqtmIcHf5L2+S2z7emcb2pCCtZ5wPXZxaG1oXi+o\nqBzAlINvaTXellG36hwxMTfoQMTgjLX2rQJtN5EsosDlXmVRbSba0MqoSLirk5wAMYRnz0JnirpV\nsE4NFKf1WYMEzsUiNjRZNscq1mj7SfiSRR8EQxv5qFz9PTaVXfj24Nunkli6ueARsYlvFzcb2vOB\n4rKwDQ0ADBNgL2xDy5U6R0FrXaf/u3VQcoyvYSyEd2tgTg+SHK/SNJSKm7JonGCxYo+dW+7QxGLt\nKkHpNoG8bP9sirKIyKJLT85PMupuG9rwFJCmblNtP8KnNbtVe5qSPm98d7gmEQjUSOWWsge0E3Ke\noiwqrMYTGLahOS7fRlmUWg0flG4/rCy61S4vN5UeUrCSRXOq2kSqCrWXzb1eGDd7eUKL19eGNghS\nWJLiMhW7/RHOM7AZBAKRD0QypoKuS/OwP/Lep9vQCluOGhvavL32TcG6zLNHt+88mU0Cv66yaBEb\nGi8dcD3caPtJ+JJFHwQzMpU2UC+tNslF7MC2tGT0EdxbuASbxc2Gto6yyLy45TBX6hzDjeRIP9AG\nJUdKY1MkhHdzcKaxpfaB1Hg/3DSUinBgS5ARW3FAtWCjXfPsGSLdSOmW/uyZYkMLGRFzlUWq3eTH\nbGik2plIQMdIji5iIbypVdw8EFoLbeInVEiXzsaT3gwqtCyTEP497Dx7pDVp3db6ZwltH/Iuljto\nDClYb0TM9AHLme3AdXkFAlmQ5G78vZ5bSPEJIIXl5EYyznFB1TzXs//yE2ovoPoKYyK4te7dX7dX\n4+A8JrahlbEcpbZzRn9HUNku8+wJkQyHaWtd7fbQXqxCAueC7ITz2tCIQCxlQ/sGXANfsuijoEcO\nGoa9p7KIOQ09ppKYoDaZAul1krKIlEN9NrTUqcsUmBe3odH0aqrUOYZbwG36NU7EEksIRw4hvO+g\nLLL14ISNvgtdb6P5zYU2i3EZsZcH7Oc2iHXAYja0jNYUqgJPIYsoIyJb6eZ9SxY9KIt6NnY3ZdG0\nZ4qM2Ke6oOfAYwjvlLpwsbCy6HbwTVEWNddAsWw8WPiBIZBjEsJv/70+pS5cLGw5zAWRRer/Z+/d\nYmbZ8vqw37pUdfe3Z86ZAYaLuZhLkG/hInvAjIxsjBXAtmI/BEWyIgeRjHBk8xC/mJcoSLESKS9+\nSOLYwoQgywqSxcWJ4jgYGUU8EGzPYENAiTECWzDYMMMcZubs7uqqdclD1Vrdu3dX1X/dvq7a3T/p\n6Jyz9/f111/Xba3f/3fJaEMbU7Cqo8v5C9tUAsARGzBV3obmhkCkja+oV5WN95xQg/I6hhhsWNqx\nZt0BDQs/n30TW/Pqz26GNS8t4Lq0Da1LDrj2yqJMgwE9EIMxKvsD24CtQFlUpWQW+RyrQmozR/g/\nMoseuBeoYXM3ttHoK3bXv6h8DZPTfScZLTPx7bMkCJNzycHZdRvagRj+FwLNxKLrlJ0vPlTqPImI\nzbkjiyh5Nz6Ed8FVpVRMBT2yzEHBxeECCglWEFO9wC6jsmhq8RnTmhJEXg4biWs5P7QfdgSs8Zvz\nbmIK6MLDQ21oEkSyaNhoXOYvhNSFy0j10xiCJr5ORVYoG6/CeMupeUMCrn2FdAgxeOt2V29DyzeV\nHlOwpmwqj2ybtwVyBO6aobzH0mq8NcMd603E+qhhW3AVTyBwtUeD8PyWk5X41eeRU9OHZRaVUxZR\nlK6Tr5FZwapbF8kQPjg9YgP+DCRwLDptIDgD5zna0MqcE33Zy/UYk3vCff/2dwavqBjZ+JqFq01i\nwXQ3rpKIUJuEQECTAlwZY3iq5Ws2NKUNWm2y29A0W/ixjpQ6T4FHEINOyTF2zZxjKoR3beATFbKe\nLFqNDc21WRA2bPUTaqayKUCYUdBs7N4Tnv3kyBgaedkvLq+1z5DgJpLehjY+BXTKIht4H5XQoyTH\nOZ5e9C0+9kJZdHhJb4By9oBcBIJTSWwIZFHpbLwphZZlEuINIIt8XTiBGHT5VPbGuXwlbGhjClZ3\nPta7t4Jf88h3EM+oLCJtfAur8dYMf+95Cj/WLdsmHWuhDjiycLLIEVuXhL9b8wbZ0AqpSITVMCPP\naypyZ+NZH8kQoRhk20WTRUpbyASiCDhvQyunLBpttL0jPMiiO8KcSkIxCf4GyNUvMaWScFOAXJLR\nS0jbkTKLgN6KdmlDOwRIdEOgsezQ017qnLd9wLVUhBCD7rzgBKLhVFX6BiiLTDfaCnIiOdZhQ3Mb\nxorQZsEGy1VSg9j561k18TkORHVIhpai29CqYXoffT56suhVG1olr5FFcUQM1YYmpMTRVsBFi48j\nEChkkRyUZTbT5jPEUlNajSehRz9HwyvIBd/rqQipC3fkzM3Vjz4cNd/QY0zBanxLVfimsuMbyJwt\nkCNwZC9p41tYjbdmuNBiClF9iZZvIXX8sea6QcvDz2ffxHZB+AfZ0Aq3oQnbQbPEzKLM956ga+YC\nR/48isFYdNp6tVgsOGfgrFyOVV/2knf/tUY8yKI7gg9HHdn4GibBl6w2icSUFcSRALpglgRFlQL0\nMtxD++rnfwiYuoRg6ZbDXuqcsW4YJ2VBkA1t2Jxzgl/ZefKvhfCuDXyC5PDXzI2bhsjw0/2AUOhM\nuVPCjC8+T/Xe4RlanLD5PGVERJ6PblE/fCZO5n1tEigHBaANXCBLKFji/bFh9WshvCF14c4qZzMp\ni0IW8e6ZWyIbzxqDmqlRAtHyN0NZ5OrCScfaKYtufY/SLbRlEDLfZHpMweoUGzGbyk7sUD3DpjJE\nJVFajbdm+EayF+HWpI5vIROOdaX36Dihze4CW28lfpUsOtnQ5q+R0mHGvQ0tjSzKfe9xxOA2ghjs\nWNqxLo1OG39MU1AJXoxAhFEPZREeZNFdwcwEXGu2bLVJLHoryLSyqFS2ATWTA+gnK5c2tBA/dwg0\nk2ALPtaxUucp8GHBHnKsnZSYjYTHnuMUwvsGkEUT18zJhraSRfww3adYQXx4bKZGOz4RcO8UniE5\nPy4HgRPOx1NGRGQ+xYWyyE3urk0CfdNcAAHdkxzaZ5PMocH2tWBWR+qFqE2ykUURG98S2Xh6OL/H\nSDfLZT+0WDlcXXhFCPX1+WS3ziyayEuMhVewvkYWuZy/cAJB8y1qU17BYwdlIGXju7psvOdEd4Cy\nPKrOW4ktqgQVmdRHdBHKIi4EDvb1Jrb9MCDd1fPbUR9mXIgsEhOtkuTXkHmz8Vj7Egdbg4vwPUAn\ntqgSVGSloYzxarEU9GRRQWXRgyx6kEX3hDmVhHlDJpCXmFZJ5K25vIS04/aAS+zq57OhGSYhFqwi\ni5U6T76mCG/IibGhXU7O1ghux21oJzXeOuwB1tAbicQ2Q938GbjVo5lFXukWlFnUDt9LaRC7nhFB\nhieLBtuLNuAMENeURRGqHfc8oiqLWrZ5TVIfUl8vM+fYhEx8S2bj+fNnJPvJ8goSy73XU+GUNJRj\nXQ3Nh7lyQ2LBjIIayUuMhVewXpLA3R5HW0WpmLTcobblFQis25M3vsw/Z1aiYH1GsG6PAzZRobta\n7FDbeAKhNgcoEa4sAvomtssMnZMNbf68darWoplFqcoiX/aQiSxS8ZEMSuxQJRzr0ui0RZWYWQT0\nIdfF2tCMGs28vSc8yKI7gldJyOubJsPejNaUS0ypJHzlcyGVRAUVaEO7rizKbkNbeENOrNR5Cidi\nMCCzKMCGNhbCu0Zwo8YVMZmDgotDt1CWkzYoPjw2U0h5/zlO29BCiGqnLKK0K/mMiNjMoksb2sQU\nsKqH9xNCFrl7LkElBVwP4VWNU5vMEzbOKpdLbcK6A/Z2QzqvTtl4+Z8z3Yy9/E0hi1xdOOVYi8wq\nslgw3aFLVCpcYkzByrs9DhGV5gCg5RM2GVsgx8C6l+SN79qy8Z4TvNtHEwhaPmGToCyqbQMt5zPi\nruGILfhryqLwNrRWlSEGpO1I7cWTr+Gy8TINBrg6REcyaLFLOtalobS5moEYipLKIm46qMQcqzcB\nD7LojqBnAq7fXGXRvEqinA2N1vYD9OqhS2VRSPhfCAyTEAsOM690g47ntaF5YjDG9kNQFp1CeNdv\nQxN2iixalz2gb7OgXT9OtaByZRbZbrSK1yvdAhaVjvCnNLv5jIguUjFwxYY2NgU8KYvo54QnOQTt\n/tjx7WshvKd2pee3obHuJY7EzXlJNZ7PYBubiHMJaddvQwupC/dk6q1z+Qra0C6HEkw1UZXmAGDl\nDttnIIu4asgb39JNtWsG1w353nMJI3fYIP5Yb+wRRsSdZ9cCl716PoAsUqaQDQ06mSzymUWZnjNC\nHdBGroWN3GGzcGVRahsaAFSclWtDm2i0vSfMkkWMsR9gjP0WY+wXRv7+P2KM/Txj7P9hjP00Y+xr\nzv7uXw1//s8ZYx/J+cYfCMecSsKw6s0kiyZUEifJaP4FiVYKnFlY4uR8N6EsooT/hcAwCb7gDURl\nGqjIBckYXEtFiJfcfS2pdh0uhHe5gYJUTAU9xtak3wxGoSNu2FyzlYrN+bnAFOnmNrQhcnVHxlDI\nS5cRwbrUzKJ+ijw1BfTZGZr+/NAdPQ8McPkLr15bIXXh3oaYyX4bsvEtmY2nZ7IIrajfCGWRa/uq\nCba/2gWuB5yPJVDCwjCmYBVqH23dttUTdmhgC1k5HITekze+JdV4a4dQe7SRyiIrd9glEAhb28BU\nccqia1bikBIXOYQhq0LEQEjG6Ohr1HmLFIROJIsSiMHS6AOu0zUrUvBi58RUo+09gXKUfhDAt038\n/a8C+GPW2q8C8FcBfN/F3/9xa+3XWms/GPcWH8iFk4Xh+oLiTWlNuYSwCnrkASD9xjf/DbVr+wcy\nNcD1qb4WcO3C/zIri/iyicEUqfMYfPCgov/eZlACUGw/wPUQ3jVCTpIcZXO+cqOvPqU97Otdb/FQ\nx0zKoolKcx5hgXX3cEpYNwA0bAsWq3RzNpfBhtZqCzmSkcE4R2dFkJLDNbtRbbpa7FBfKIvMQBaR\n1CZSQlsGZMosEnqPI3njW+6aUWqGQBQVaqaLEwGlYXzb1zwx6K+PTMc6Fjzg3kPFmIJV6kM0gYD6\nCYJZHI9ln10hKom1ZeM9J6Q+oI206dv6Bbasgw5YB/nvNQY7HGEjyaJO7F5r5/JRCwT1vLehFbIc\nZSGLMmfjVaaJJots9YTdMygGY6GMzUIWVYKhK6U2m2i0vSfMHiVr7U8B+OTE3/+0tfad4X9/BsAX\nZXpvD2SGs99M2tDegAnkJYTtRhsOeMFsg1CbxaQNLTNZZLmEXLANLUXqPIaTkoP+8HTnhSBkFgHX\nJ2drBIcalWN76+ZKlEXMdOTp/mawM5nYuvkL9Da0MYVWuAU2xIYGAEdswFXkFNkp5LwNbbrmVkGA\nBWUWTT+PLqHF9rVgVh8yTawLV5BB6qcpCHUgW2VLZuN5G9rY5zhcx2ol1+sYTtXwhDa04Zkbcj6W\nADPjFvgUXFOwygTrNqtcC2QeknwM0tDfY+mm2jWjMkcoEaciY8P9vImwWnddC8mMfyaEQvEtqovW\nvUOnUQlGIg2q0soiS4+NGIMfLGY6byvTQMVGMlQ7VEyja5dJGHXaeLVYCirB0RXKsZpqtL0n5M4s\n+k8B/IOz/7cA/iFj7KOMse+a+kbG2Hcxxj7CGPvIxz/+8cxv6wHgbKMxMpW2vIJcsNokFsLq0Ytd\nVuUyi5x8mm5Dk+M2tMyZRZYtu045Reo8hhj7lDsvxtR4l7gWwrtGiAkbmlfj3XhqT0XfSEQjJLY+\nPDaPDU1aPUpUi4icH/jzkfb79BkRmWxoM1NAhTBlkWs5Ggtmfu3rr4TwhtaFKwiwTDk2MmDiWzIb\nT/viipEg9eH5E9K6t0gMdeF1Pf+ZM87RWumbEG8FbhV0gdrlawrWyhzQRbZU8U1PwB32n0l+b1Oo\ng8iidSlYnxP9sY5bH7FBKXp4GX6s3fe41wiFEjvU5nUbGjWT0ylbS2UWSSjyen0MVWYbWm0aaBl3\nXbvjtI841s+BThtUEY1+l+jb0AoFXE802t4TspFFjLE/jp4s+p6zP/5Ga+0fBPAnAfwlxtgfHft+\na+33WWs/aK394Ac+8IFcb+uBM9iZje+b0ppyCY6Jja/bsJWwBwxs/liWxCV2lUCrzStTk1JtaEu2\noaVKnccgXJ1ywEPceiUHjSzq+Ou5KmuEtONybFHwmimB3oZGu362qXXzFxBQo9XwIqYNTTsbGu18\n7JVuscqifR+aPLz/dmYKqJgEC8gDcvYS6v2xl9S/+ruw9mVQXbhiAiwTyVkHTHxP4folyCKnfhy3\noQFAu9DpMhWhdeGhSrcSYBNNrClo2QZCvUoC16aJrjTndf+sbTMF+4+hCtj4lm6qXTNqE6+8Zv5Y\nhz/jjsP5wSLXZlruUF8Q/vtWkde3TllUog3NGoOaabItegw+Gy/TvWdjGujI69qRRcfCJHAslLao\nZCZlUSG1mTAPZRGQiSxijH01gO8H8Gettb/t/txa+7Hh378F4McAfH2On/dAHE4WhonWlAWrTWIx\nVYfpP4sCi0qfJUF8+Ljq0HMrWtNpMAZsMtRLnsOK5RKDqVLnMfg2pKBA4TAlRydeb2xaI+SEDc19\nFmuxB/AAK8hm+wRj2UlVk4ipDATfmhJAILhzl0oWXcuIIKPdA/VpU6BmpoAKMoiIUTOFC5ewcoct\njq9k7zB1CKoL71ABmUjykInvaSiRn7A5kW7XySJHxq09+4V3+6AGqJ68vLWyqIwN7ch3r5HAdYJ1\nWwzKotJkUcjGt3RT7ZqxsfFqE7HpByLHQziBcNx/eniNOGWRkTtsLwj/Q2fIBS6MMUjOoArkr3mb\nbnIbmuzXEJnuPRscYaKP9WAvLXxdx6LTZjQHMQQVL0cWTZW93BOSjxJj7EsA/CiAP2+t/aWzP3/B\nGHuv+28A3wLgaqPaA8+DU/7KhLJooWqTFAg7HjJ7soKUsweAaLNw05VzK9q+1XiqBBhLZ99fAZOL\nJYtSpc5j8MRgwEPceiUH0SpzJYR3jZgKZj5tfNexiGdGwRCtIIzzXr2QqdGuV2hNk25BRLVx5CWx\nQYxv48/H7iVQna5Bpe2kskgjTFnkhhfUNrRrIbxcHYLqwnVGtUltGmiiFaRkNp6eG0o4smgl1+sY\nuG7QBAQ497bI2z7jxEQTawquKVg3toGOVHzIbW/jLE0WbQM2viXVeGvHFg1MZAGI3A7EYITaxGVa\niS0tI+4SVu6wvVAWHVpFtqEBg+WoQMC1CmznnEKXMRtvaxvYKm4tzAdiMOZYPwc6bSdzEKkodU4A\n042294TZT4Ax9kMAvgnA5zDGfh3A9wJ9AIS19m8C+C8BfDaA/3HY0Kqh+ezzAPzY8GcSwP9irf0/\nC/wODxAxp5JYstokBVMqiTqzv/gc3oZGnJy7B+a5sujQ6ewWNGA41naZKjI3BeGZySIZQQw6JUdF\nVHJosXsthHeNqKZsaF6Ntw57ALdhjUQN24CpXMoi3Vu5rqBytsggpZsavpdOXlbtvyW//ivoDq+o\n+9qZmlvFBFjAsMEpXUZbvC5wktS/i+0QRM7VIaguXDMJnmni2298qTa0cioJM6PQcplQSw05pSK0\nLjxU6VYCvNBGoxNbbNSrxM7WHmEjCYRqO+SSZQr2H8PGHskb35JqvLVja4+wkcprOaiCumP4sXbn\nh9zEnWe2foEn1qtDnZ00dI1bcY62gIqkbY/YAck2NMBl46Xfe4zW2LE2+lhXAzHYFb6uY6FMHmWR\nFBwv2zL7GTGxf7wnzH4C1to/N/P3Hwbw4St//isAvib+rT2QG3Ym74LxU8UuNRdgDZhWSZSr2PVZ\nEoE2tP3ZTe/QFiKLeL1Yy6GTOvM6b2ZRVQ/HOiRrJ1DJoeXutRDeNUJCjcqx5RAwW4JgLQEeON0/\nsi14ppDyaiqzKEZtMtynXIjm7JfLHTaxyqLXbGjTU0DNKvCABbIOtKG5+8Fh/xm8/dmfByC8Llwx\nGURoTSFk4+tDTwuoJBzZyEee69wri9ZB7o4htO0r57GOhbBddOj0FLTYoW4/4f//lPMXuanc9coi\nfSynLDJa90QB8T2WVOOtGV177LN1IlVk1a5Xm8QQg13Tnx9VpLLIvefm8BK7F/05t2813rOhP58r\nyYuoSEIz9KbQZ+Oln7fN4V08IT4jSnqyaJk2tD6zKH2vWQtWrCGvL3tJV5utHW8OI/DALE4qiZE2\nNLeozCSfXAqmVBLSW5Py/8460Gaxu0IW7VuFp6oAqy0kqoWqyFKlzmPwk8qCNrRrIbxrhIQeJTmq\nzNWwpcFtWMjskW2zNNpZY/rsrVEL7PA5BpyPbgHqqsHnYOQOG0SSl93+VRvazBRQQwTa0BxZRLu2\nXGPTeb231Ae0nL5BDrXKjeG08aUt4kuq8bwNbbQN7c0ICq5Mgy4gk0dDgt/YhsYnmlhToMUOm7Pn\nzLHZgzMbTSBsBgJBH/MoKq/h2PSvTd34llTjrRmH4f4Xa9M/HesIZdFwfjjCKRSe8D9r5wppQwNQ\nLLPI23SzKItklmw8H8kQmRHlSL3SisFYtNqg4hlsaAUzi6Yabe8JD7LonjCnkhBvhlz9ElMqib5i\nV5RZxAfaLNwDs3nFhmawLaAsAq/AmYVWyyOMUqXOYziRHAG/87BQpdrQroXwrg1G657kGCE5fVD4\nSmxo/WSI/rDv+CY+FPr8ddzmfITY8RbYEBua6dBaQVZ+XsuIIKPbX9jQpqeAmknwgAWyGewloy1e\nFxDDRuN8SlqZBiqEQMhkQ2t8KxAxf6VgNp6daUNjQ0ahWnnAdWUOQW1fegEB12IisywFl61SjScQ\nIsmip3gCgYrDy14xTH2PVcT98R7gmq1ij3WVQBbp4d5b7yIzdGoXuHxGFoXa0ARHq/IrizofG5Gu\nIuktsOn3nuPQWBd7rN1xKnldp2AuB5GKoplFDxsagAdZdFdwC9UxCwMbNjXdyieQl+hVEuMPgFw3\n9ksYv4in2tD6z/9VG5rCU8DUhYxhetItcAORLHUeAeMcnRVhLRW6g7aMXM19LYR3bXDnBLuBGq8E\n+twQ+rSw4zvI2Lr5M6iZliqvVgv4HJnu+qklES4jwugIy2m7B+rzgOvpKWBvQwsPuKZaPK+F8IbW\nhYcSWmPwm3PixNcRgyXUeEa7hrzrn6NTHK094Lo2x6AK6VzHOgUCZZp0LhWszUAgxOb8bZ76a8u2\n5TaVoddMyabaNcMd69hGsu1ADNoYsmj4ns3TW1E/26lD2zN16L7VPoKBgkqUUhaFtRdPvlamoUR7\nSDvW7ro2SyWLzHQOIhW14OgKDWgl1OT+8V7wIIvuCXMqCe4qdt8csuikkhh/AChWpjXFZ0mQ29BO\ngX8OpQKunTVhiSoyF8YXK3WeggptQzJhm3MnDW9eLrN9ggI1o4g5qfHWsYgPVRYpsUVtMiiLWvc5\njtjQhs835HxkJiys22dExMjQL5RFc1NAwyW4Dbd4Usn0apiSnkvqQ+vCTW6yiDjxLanGOz1npjOL\nQoLUl4jQuvB+w3ZbskhaVcTCcKlgdQoEvo3bVO4cgdCWs6F1A8lL3fiWVOOtGe1wrEWk8nqbcKxt\n13/PJnJt5qIF2rN7eNNqbIPa0MpkFhnfhpaBLEJY2cMY2sBr5hLbgdQzBUngFLQqD1kkBUNXQG0G\nTDfa3hMeZNE9YVBJcHH9xuzkl28SWTSnkgAGZVEBubpTFjHi5Hw3KIsO7ekhsy8UcO3rlBd4rN0U\nJFbqPIW+Tjlkc676GlQinMy6KVxBXBKqc979GTXeSpRFIlBZpMQOVYaQcjUTmNmTbjIoQwtG9ecw\nEf58jCEvu/0rGSjdzBTQMAER0LBofDsnzeLplIbnIbyhdeEmE4EQuvEtqcZzNjQ50nLqgoLXriza\n4ggbShYFkJcl0BPV+ZVFlwpWp0CQkcqiqt70A4CuYGZR4DVTUo23ZnRebRJH2GwHosdGHGunPHPh\n1KFw0QKOBLHWYt+FKYskZ0XyaZRbr4+Q7kGvxaos66NuIAZlJAm8fRq+r12m0l0ZC5kjs0jwImoz\nYLrR9p7wIIvuCaab3Phyb01af0Cvg1dJTEyvy5FFgz2AqCxydrPLNrQSNjRnjVELnDanSp2nEPoQ\nZ7rtlWdEXAvhXRu6tr/+pyZsiskiOV8lEJobouVTfIPY+eu4xeck6RamdGOhSrfhfGxizscLG1qn\np8kizaog1Y7LIhHExfnmSovPzjZBdeGaVxAZCAS38aUu4kuq8ewM6eaDgldeQb61DcwNiMEUiImi\ngBRcKli7wPPxGhq2BS9IFoW+x7Vl4z0XvE0/NmRaCOztBixGbdLu0VmBekNXc57jFLjc/w6tNtDG\n+ggGCmpZJsz4lDG6HBuaOvbXd72LI+fqegtlOWy3TGVRvjY0jq5QZtFUo+094UEW3RFm8y682uTN\nmeQoZ7OaYIZDW3yocFkS1EwOpyB6ThuaWqANLVXqPIV+cx6w+DQqaHN+LYR3bTi1+E0RrOLm4bFU\n9LkhATk/costMmQWuWtrhnQL+RxDbWj+fAxVull73YY2MQU0gUTMieSgLcRcCK8Z7BPWGGzRBtWF\nGyYhMtgDQpVFgMvGy7/xtXOZRd6Gto7r9Rpi6sJzHesUVOiAAja0SwWrL4VIIYuwAcsH088DAAAg\nAElEQVTQAjkGNQyBqgWo8dYMd6yrhGN9ZHHHmqkDGsTnt1wGLjdtT/oE2dA4gzIFbGgZM4sME1ns\nzqrpj1HssWac99d1tzxlkbU2YxtaGbXZXKPtPeFBFt0R+o3G+E3ZZevoBapNYtERfMi5JKOXcDaL\nsSyJS2wkB2O9msihlA3NfR5LPNapUucphFZns0Cy6FoI79rgyOKpVpA12dB6zzn9YW+qp/gGsTPo\nQckxtfjsIIM2Q9wo6BDycpjkHkPPR90C9tXNeTczBbSBm3NHFkmiDe0yhDemLtxyGWSVG4PyVln6\nPapUNp7/HEeuV6c4WnNm0SGi7cvwMKVbCUhbRll0qWBVR9dSFf/MPLItREmyaCA56ifae1xbNt5z\nQft7T/wwrcEGPOJY826PhsWpigCg3vVqcfc77Lv++gyyoYlCyqKBTOfE4e7kawWqbEdfZ7iuNwnX\ndcM24KqcYjAWeiD8ZJbMojI5VnONtveEB1l0T5jZ+Dr5pVpgjk0svEpiYuOrmcgiGb2E7dzEl7ZY\nZIxhVwlvQ9PGolUGuxI2tOGBqJaoIkuUOk9BMRkUPMhNCx1gQ/MhvCsmi1RHs6GtRVkkEUYWoXrC\nlnXQKm2xpwkZCDpQ6caMCjofXUZEFxpw7ewor5BF01PAUCLG2dAqqvLyIpj18DK8QtowCYEM9oCI\n6b4uZHd2m2k50nLqlK1rVhad6sLpn7dhEvLWZBE0LM/fpOMUgy6rSDfOuh1PILR8A56hBXIMLmQ3\nZONbSo23ZjhlZQpZ1PIthI4gi3SDI4vP9PHq0GP/O7i1bsgatxKsiOXI2XQFMTZi8rWYhMhwr3eD\nkZT8zoZto4jB0nDqsDxtaAydMbA273nhIxkeyqIHWXRP4DN5Fy5bY80TyEuodl5ZpAMJBCrmJr7X\n8FQLb0Nz/w6ZulDBveVweTa0VKnzFHoveejmnD5V8CG8C22foICStROq0Lol+oDCkEa7fiN22Kc1\n2jkb2lQGQjB5aTvogLDuy4wIMlxTzhkRo7SZnAIaXkGG5AEZZ0OjXeuXIbxOLRVSF255lcWaFDPx\n7QqRRXM2NNc2t+bsl1M1fJiKjOPWNjRVZCrtFKyOBHYEwmYbTyB0fIdKl1MgxBRXlFLjrRnuc9wR\nFVrX0PI4FZlQe7QJyiLfxDZk6DgVfYh6vhIcqoCyyJHpOWxomudp3XSDkRSVfVdYMRiLdjiG1UTD\nKhVScFh7Uivlgh+mZyAQ144HWXRHYKabnErzBVuTYuGsIFNkkckURncJn8kxMvG9hl0t/AN0P7Si\n7QLC/6jgYrmWw1Sp8xRC86m4DbP9XAvhXRtcQ94UyaGZuHnTEBWhNjQfHpsYUn6yoY6fPxphIbw8\nkLx0lo/g89Eri84Cro2FnFjYWS4hEKAs8jY0+kLsPITXqU1C6sL7XKV0G5pbxIcoOUpl40H3r1mN\nBlyvv4K8jWgFMpmIwVhopXqbZIGp9KWC1SkQNimbSr5FVVBZFGMvL6bGWzOGe8824Vi3fIsqosRB\n6gNaTs+Iu8TOW4kHdWjEQFTyMmHGbkhObeecfC2W597jyaJEYlBGqMhKw9nG8rSh9a+RO8tqrtH2\nnvAgi+4IcyoJX7H7RtnQCCoJlqch5xJ+4hvASu+qE1nkwv+K2NDkconBXupciCxiYRMfbrqgzfl2\neKi7Se8acWoFmbpm1qQsCmuzcOqF1EY740i3yXtP2GaI2w4mhCzydfOxZNFpY9Bpg3pCWWR5BRmi\n5BjIizGS4xrOQ3hbF+obpCySYe9x7HWGje82hCwqdc2YDsYyiBFSUtZDq9QC7/VUxNSFW17d1IbW\nOdVuAWXRpYLVDgG2uwQbmhJxBAIVp/d4ezXemmG7PbRlqOv4NZKKJIsqc4QS8WSKkBKNrfzz5RBt\nQyunLKIqXafQW7LT7z2s26OxFbiI3wN0YgtZ8LqOhVOH5cgsqnj/GrnPC0cWPQKuH2TRXaFXSYyf\n9FyuP9vgEnSVRPq0+coPB3BarFOwqyX2w7QlJvyPCrHgY91LndOnO9egWRWkImM2VMnhclXWqyw6\nKWKmrpmwz/FWsMagZjrIc+4artrERjvlAq6nMouCycuw83ETez5e2NC0sbC2n+qOIYYs0hMkxzWc\nh/BG1YWHvscRxGx8FZNl1Hha9UHpI3D3+jUri7qmPx9DjnUuYjAWXeum0vktDK8pWNs9WiuDVHqX\n0PIJtS23qWTty+CNbzE13orBuj0O2IJN3IvnoOUOdRRZdEAn6FbQa2jYxqtD97E2tAJtaG64KybW\nPVT02XgZyCJ1wCFxcKpE3LEujW44hlMDKCqclS13yDWl7OVe8CCL7gh8zoY23CTNirMNLkFRSfQ2\ntIVkFlUCh8F+FvMgpcITgwvMLEqVOk/BBHrJhVFBSo7LEN41Qqt5RYwJJDluBT1YdEKURa5BrE3M\nLLJuUjlJuoXde4QNPB9fvNogRsaQKeFsaJ2fAk5IxrmEDCHdZzL0ruE8mLUbyDwZEPRqRRX2HkfA\n2pc42Dps41tIWcRMC4Xx9+ECxNdMFqmmvxZDQn0tr4JskbnhFdoFLAxewTooBnn3EofEAYuRO2xL\nkkURG981KVifC1zt0SQeay2esIkgEDamgRZpa7MGp8Dlgx+IBjTOFlIW+dgIYnvx5GtlUhbxbo8j\n0sgivVSySBHWFEQ4dVLu84LSaHsveJBFd4Q5lYSrMF4igRALikqizzYo11JTBciFd2cB102ERJcK\nTwwuUFmUKnWegmEiKLOE2w46QJVyGcK7Rjj71JQcWzNx0zwQKtx0HwHTfTkoi7pEZZEj3aeqeHWg\n2oRbBRMQ1r3duUDRwMwC9/WDDc0twiZtaCJMtcN0N6mIufq2zvIXfIV0QKiv5bIPHU4EU4fgDVup\nbDymuz4IeAS+JW3FQyB3rKugY12huuE9Sqn5co1YeAXr8Jxh6oAj0smijS239uMR71EVumbWDK4O\nSY1kAGDkFhuEH+vaHmFkGnnR8s2JLIqIWqg4L0MWDddriBNgDIbXWSywQh9w5KnE4BabgiRwLJTJ\naEMbCKcue2aRa9N+kEUPsuiOIIyabNI5taa8OQ9nr5KYmBYYlmcK8PoLT2dJXMOuFl5R5P5dxIbm\niMEFHuscUucxaFaFKYsClRzAqyG8a8SJYJ1SFlVF1Hi50bmHfUBuiFMvqGPaMTSq/3ymqnhDVY39\n+RigkhoyIli0DW0I0nVhlFNTQFGjZhrW0BbyzEyTHNdwHsIbVRcu6izWpH7jG6qSCLv3kGEVugl7\nubcm6eVfr2MwEYHiuLENzW80CtjQLhWsQh+Sc/5s9YQdjuTrNxRC7XHkEcqiFQwlnhNCHdCyNHWP\nrV5Eqci2aGBk2tqsZSfC/1TiEkAWSZbdbgScK4syZRZlUDUKfUhqnwP663obQQyWhgsprzMoi6qB\ncMrdkneKMSkzvF4THmTRHYHbbnIq7S6IJRIIsfAqiQlmONeN/TVoNWkPuIbzgGuXXVRCWXTKLFre\nQySH1HkMoSoybnU4WYQN2JrJIoJ9yvA8nvzS8FaQAHVYPeSi6FRl0XBtTSm0QolqAQUboCwC+owI\nhFbnXgRcd5Qp4PC+FFWtaFSwDe08f8G4BqiQunBeQTALrdLO3X7jG7aALKXGY7qDnrShDW1oK1Zo\nxNSF90q3W9rQyjXpeAWrI4vUAcdU63a1g2TGE+y5IXQTvPEtpcZbM4Rp0CaqTWy1w461MDrs+tja\nI2yVdp61fAcxEP4xAdeylLLIFy5kIHczEdVSH9AFEqyXMNVTUXtpLLy1PSF7y6GUDY3SaHsveJBF\nd4Q5lYSzoa25NeUSJJUEr8ss4k24zeLpmg2tSMC1y6da3kIsh9R5DDZ0c24VTGATwpFt/WJojbAD\nySEnWqoMkxArWMRrLyOmLwCdxUMn5k5RMosMj1C6BZ6PDU6h0GR4sqifIpOmgIOCQhE3myyCLNJy\nh2pY+Pr6+pAK6UFh1iVareM3vvmfM3ONjVwIKMu9LXqNcHarYBUZM8Eb4lxQPhy1jIWhYVtwNQR/\nmwZdIoHABhXh4WVaVtsYYja+xdR4K0alD+gSh2lsuK83B/pApGuPqJn2z4RYKLFFbVxmkYbkDLWk\nb0UrwYoEXMO4QpoMmUWizmKB7SMZUkngJ9RMnyz5C0FHUSsTUXH2ymvmAqXR9l7wIIvuCNzqyY2G\nqN48G9qpDnP8AWCZLFKxy3QbbLN41YYWHv5HhXsg2gVmFuWQOo+hVxbRNw/SdsFKjvMQ3jXCXf9T\nWTu3Do+lout6YiEkoHD79BYAwIbWzV/AEbGiGt8gmcB7j7QaNpS85FsIFUh8vWZDm58COgUFVZnA\nTTtZuHAN5yG8jiwKqQtngYTWGGTEhs3wqogaj1kFNaN+VBBgK84sQtvXhW829M/cNSCmEoOxMGq+\nXCMF5wrWHAQCH671Zv/p5Pd2DZVpgje+a8nGe07UEZ/jJdgmnBjcD1/rSMVYnKtD960OHoZWooyy\nCMNaOKVR0KFvYkxfH9XmkH6sh0bTwz5NKZ0bipCDSMXJhpY5s4jQaHsveJBFdwRpuxll0fpbUy7h\nVRKzNrQyWRKhk/NdJdAqA20sDl14+B8Vvk55gSqyHFLnMVguIQNsaAIaNtCGdh7Cu0YYgne/J92W\nv4h31achjUTbgXwwycqiITBzknST4AH3Holw8rJjG/BQpVu3721ljgAiTAEdWaRa2s9iZrpw4Rpe\nCeHtDuF14cN71IlkUWUaqECVRCk1Hjcd9MxzRkECK8gYGwPr9j05EmJZGFRkqcRgLFThqfS5grU2\nR+hEuwofNpVtgNokBD3JsQw13ppRmwY68HO8hCMQjgf6QMSdF+57Y2HEFvVwD286Hby+lYKj0xbW\n5iUGnE23mhgsk8HDyh7GsDENdKLK3qnI2oWRRac1RQ4bWr8uaTOTiBR1+L3gQRbdEYSdzrvw2QZv\nEllEUUmIuki2AdPh1dAuzPrQaRxaBcaAbZX/MpVymcRgLqnzGELzqWJsP+chvGuEe0BWE3LsUDvf\nrXAKuKdv2La7FzCWpTfaGZoNLSyzKFxZ1PIdqlDystsD1WmC7JpLJqeAjoghqhW5VdATwczXcB7C\nG1MXHqp+GkPMdL9UNh6FdOuYBFuBbXQMMbXrJ1vkbX5vd+8pZUM7V7DW9gAt0wYsYsj+OhbaVNa2\nCX6PpdR4a8bGpmc6ikFZ1B7oyqJm/5lXvjcWunry7Vz7VgcXuDjLkc5tRdMdlOXgIsNwVtRZsvE2\nOCar7PnGKQbL2EtjccpBXG7ANaXR9l7wIIvuCAJzNjTXmrI8tUksnEpibrofojahYi5L4hp2g+Vs\n36peolsJMJZ+M72Et6EtjCzKJXUegw2c+Ego2MCA0nOZ9SqhCaHwgTXpt4Kf7gds2BjnaFCHN4hd\nwF1bsh7f5FpeBdrQwgOuldihCj0fuz1wNkHu1PwU0Fn9FNH2098fwxbmrHoByQzatunr6wMbyVjg\nexxD1MaXlVHjcTtPFmmIVZNFQu2D68I9MUhUuuXGqSigzEajPVOwbuwROnFTKYdgf9Wk3ffGsLHh\nG9+1ZOM9JzY4wiYO09yxboOURf3X8k1AbtgVWPmE7aAs6m1oYc+zU5hxXrKI6Ta4kGYUmbLxtvYI\nm0gCu2N9LKQYjIXyOYgZbWiZCUSnTA+JMXhT8SCL7gjSdpOWmjfThuasIBMLTV6mNYVZNdlScw1O\nktu0BocIiS4VSyUGc0mdxxBDFiGQ8DsP4V0jfIXsVM5XoWsmN4yKq69u2AYsNBT6EsPPrqppC2zI\n+VhBBTW7AS5QNPB8bPe+CQ2gTQFdiDg54JpAcryGun9Pzf7lUCscSiD071Enqk22toEJXMSHEoNU\nCDNtLwd6GxpbsZ2nrwuPIwb1jazWpiubWaTOFKw5NpXVoEDoElsgx7CzTfB7LNZUu2LsIki3Szh1\nUBcScD2okOQm7WfbaufVob0NLWwbWg3PIPdMyoaIwoUxnIYS8fceawye2DFZZS/qstd1LHwbWgZl\nUTEb2rA/yhF6vnY8yKI7goCeVEl4r65e76LyNeh5K0ipil1mFBQL29g5Se6+UzhEhP9RUS2UGMwl\ndR4Fl5BBAdfT18w1nIfwrhLDOVFP2dBK5XxlhrehBR7DvmkojSxyGQhTRHVoULicuYdfg5Y71KHn\n46UNjTAFdAtkQ1wgCzPdznkN5yG8MXXhzhKk1fNPfEtdM3ym5RQA1MptaH1deKgNzeVT3eb3dsqi\nEFVjCJyC1RqDHZpktUm16xUjXQFlkTUGW7TBG99Sary1QnUtaqZeUX3GoN71DZLqSLcmObLBnSfR\nqJ7AmcWx2WPfquACl1Jhxsx06EKHF2PwQ4l4sqgZlFw2UWUv3XUdoCJ7DnSE0gwqKl7mnHhkFp3w\nIIvuCHMqCSEltGWLU5ukgKKSAK9QMQ2beVIRZUMblESHVhdVFnlb3sKmzbmkzmMItU9VULA8bDJs\n5NMphHeF8NOUKZ82r7JUw5aGW6yFes5btgmvm3/th/efTzXTKkf9HK0xkMwEK4teCYWmortQFvmF\n3fgU0G2KFTmzqIMO/F24z9p4N6ounHsCIf76jN345mrIuQS3CnrGmqiZBF8xWRTT9sW90u1GNjRC\nUUAKnIK1bRsIZn2QbSzqXX9tmcQWyGs4NntwZoM3vqXUeGuFa7RiiQUglbcc0p9xzp7ovjcWzBP+\n7+LQGWyDA65dTXre9TozXbATYPS1fDZe/HPm8LJvJUw91vVAFukC13UKHLFTZVQWlcosEo82tAdZ\ndE/oVRLTC5e+NWW9i8rXQFBJnPzFeUmyfuIbaEOrT2RRTPgfFUJIGMvAFqYsyiV1HoWoUQcQgxLa\nnx9UnMusV4mBQJxsECykxsuN03Q/kCziOx8eGw3dorNiusEpwIbm7k+hljorn7ALVRa1F5lFXjI+\noSwaFlSGaPsRBEXMa98zkEXH/buRBEL/Hqkh3NcQvfEVdRFlUf85TpNuZuU2tMocg9vnvOUw4Vin\nwAzqtclBVcrrDwrWxtWfJ6pNNk9vASizqXQV7aEb37UoWJ8Lx0yZjptBWaSPdGuSOy/qRGWRa91r\n9p/BoVXhAdc+syg3WbQsG5rLGEpV2VdDcL0KONbPAVeaUWXMLOoyZxY5ZdHDhvYgi+4KvUpielGp\nIFa9qLwERSXBeJ7Q00tQ7AGX8Da0Vhe1oTHOoSAWZ0PLJnUewzCBp6gftFLgzAYrOc5DeFcJ3RFI\njjJqvNzwbRaBMuKOb8NDoS/QLz6nr98Q0s0H9QaSl6iesEUbdqxGbGhTU8BQ1Q63Ovj+6MI6u+bd\noUI60oaWsIh3G18eujkvpMabazkFAM0E+IoVGhsT3vbFMxzrFBiCBT7p9Yeg4MNg3eaJm8rNU08g\n2MRg/2to9r1KInTjW0qNt1Y02Y51v74KOdZOcebOk1hwF7i8/0xcG5pXkeS3oYUWLoy+VgYLrKu6\nz3WsSygGU9BqV5qRow1tUJup3DlWDxuaw4MsuiNQVBIdk2BvkA2NopLAoDro2ry/tzAddGBmkbeh\ndWVtaIAjBpdFFuWSOo9C0EN4T5vzwAfFWQjvGsF0i25uwlZIjZcbLmR2MuD+CpTYhtfNv/7D59tV\nRA3JDIye3xD5CvDA89FWO58RQcaIDW1qCug350Qlh7TdZDvnNbgQXtW87BvJRJjahHu1SUKWxLDx\nDSWLSm18BeaHEppVq7ahxdSFOzVhiuUwBbZwG5qtdtji6Kvug8nLC+wcgdAF3CeIcPZyFqgYtqIu\n0lS7VrTD+kgkKq+3niyiH2szfO02cZAnB1VU27zEodPhNjReRlnETRecMTqGU9lD/L3ndKzT1sLu\neJmAY/0ccJaxKkNmkfRtaJkDrikFSXeCB1l0J/AqCZINbb0TyNegO7QzKolcdcqX4FbBBNZcv2pD\nCw//C0G3wNDTXFLnMZy85ASyyNt+AnNVzkJ4VwmjoGYmbEykL4aeAzZyuq/FDnVi7hQl4N6pGinZ\nBu6zDrWhOcuCU8SQcGlDM/PKIme3MUSyiKKIucR5CG9MXbhrgaRa5a7hlKsWuIgXdRE1Xv85Tp9n\nmsl1K4sQHijuyEtzK/WsLmthcArWw2d+G0D6prLebNFZ0V/7meFaTmVoFuFKWjefC6236aetj3Ze\nRRZwrB1Z9CJNWeTVoYd3cYhSFjmyKLeySMFksqE5la1JKFLw10zi4NQdrxKKwRR4tbLMYUNzOVZ5\nzwl3D6/qMoT/mvAgi+4EXiUxJ1d/w2xoTLfzPmQeNhGnIiaTwymJ9m3fhhY6dQnBEvOp3PQjVeo8\nBk8MEixi3r4QShadhfCuEX3Q45yyyJEcyzp/LuE2ijwwoFCLHTapNjTdEpRFgy2SQF6eyKJQ8vKU\nEUFGd3glwFkRmktCF8gCGjbw/lgP9wVzfDeqitsTCAn3+jY2S6KQGk9aNavQMnzdZNHOHmGqsM87\nh4osBY6QlIWURV7B+s5v9j9nm/7MbFCDpQb7X4FrWAvd+D5saK9CRX6Ol+BCoLEVWICKzHZ7aMtQ\n14GthBdw7VzN/l0oY4PV896GlruQxqr8NrSE54xq8pBFm82uLy7q8l/XKWgJpRlUVIXUZpRG23vB\ngyy6E1BVEopJcLNsa0kQKCoJSbcmhUBYHWyzcEqiQ2dw6MoFXAMDMbiwzCLnq06VOo8i4CGu2jgl\nx3kI7xrBTDdrQwsh3W4JH1AY+LA31RM2SFcWzZNuw72nnf9ZOtKG5jIigsjL7uUrZJG3oU1MAUNV\nOzE2tM1Zs8sWx+C6cGcJSlEWxW58S2XjCehZhdaaK8h9XXhgOLI/H29klT01sZYhi5yCtf30bwEA\nqm16KUTDtuAFbGhd7Ma3kBpvrfA2/QzrowPbBhGDrNvjgO10liEB9RC47Nq+QnM5ZSllkVXBsRFj\n4MN6I+Ve71T2m8RjzThHg00QMfgcOOUg5rChlcmxojTa3gseZNGd4KSSmD7pNVt3a8olmOlmlUWn\nYNa8G1+BLlhZtK36S/LQqqJtaACgWAW2tA1EJqnzGEK85ErF2dDOQ3jXiJ7koNnQbtU0RIULuBdV\nYM7P0DSUAmYV1Mz1H2KL1INiJ7TZzVkWyGSRansr8ittaMPCbmIK6Gxo1NB8AQ0beG05xaHZvwPB\nbHAD1Ok9ppBFQwj/NnAR77LxMqvxJNRsCL/hcrVkka8LDzzW7jq5mQ3NlLWhOQWrfvfjAIBql/7M\nPLIteAFlkR6umeCN70qy8Z4LrtGqznGsEUYMcrVHw9LPZRe47JSuoVELJ8tRZjuv6aAD1+tjcKrG\nFAXrKZLhreT3c2Db5ZFFxoAzQORQFvk2tMykMqXR9k7w+ATuBCeVxEy2AdYtV78EhSxigcGsVFCy\nJF57L4xhVwm8bDWOyhS1oWmIxYWe5pI6j4EHVJrqSLLoPIR3jWBGzS+aMlTDPgcccTHVhnj1+6on\n7FhLCp4eAzft7Od4kqtTbGjufAwli/pNdks9H92i8poNbWIKKLzFi6gsggJCbbrDRoPt+5wWFqws\nSrehuY1vvQtUFhVS41VWzZJuhq2XLDrVhT//sU6BC0ctNZV2ClZ3LYSej9fQsg1EarD/Fehjf08J\nzSIspcZbK8zwOW4yHOsjDzvWXB1wzEEWDSS7U17v6rBtqCMGcqtIYjJGR18r8Fl4Daf2uUzXdQES\nOAWtNpPriRB4skjlz7GajRK4EzzIojsBVSXx5imL5lUSLs8kd8VujA0NAJ5qgXdetv6/S2GJxzqX\n1Hn09V2uCikjpt9ksMDF/nkI7xrBbTeriOEBJMct4ciiKtCG5jamTULuFEmh5Rub5je07v7EA8O6\nXUaEoirdrpFFlIBrGaYsklbDBhJfLoRXNP0GOTRk2tnQqO/xGk4b38CJb6FsPEmwoVm+XhvasXFt\nX2HHWmZQkSXBNbEWIoucgtVdC9sMOX8t30EWIItMG1m7XkiNt1a4zzHLsWbbILJIqANaFmYFvYbN\noBp366NdFUbQuIyb3CqSPmM0jw3tZMmOP29dK2GOY30MPNbPAaXtpFI5BIIzMJY/x4rUaHsneJBF\ndwKvkpixMPStKW/Og5nSSMRl/7DKvfGVCG/7AXoP9yeegSxSrFqciiyX1HkMbNjQKsJD3FUu80Bl\n0XkI7xpBURYxT7AufOLrbWjP0CB2AW4V9AxZfGpinFebnMK6w+4p5zk/JLggzLPNuQujnMoXkHX/\nu1CJmArhyksAOLANNsdPAoggiwY7ok2Z+PqNb6BKQpZR40moWXu54RICy7rXU+EUCCIw74YP13zK\nsU4B0x2MZRCiTKOps0G6ayFHKUQntqhM/nu6a90K3fiuJRvvuWAz2vQ7sYPU9M9VmAYtT1d8O3Wo\nGp5H0W1oqgBZlElZlCMbzx3rXRYSeIlkkcnShOZQCZ4/x0q3s4PTe8GDLLoTeBvazFTaMAmxMLVJ\nCrjpZhsOvL+4xCI+hiyqBD75sj9eJW1ohi3PhpZL6jz6+s5ySCA5HHnIA9UPp835sjziVHAzn7V1\n+hzXoSwKne47ZVFKSDkntMqFZD958jKw2c1ZPzRV6eYqds8ChZ3kf6q5xCuLyDY07TNJQnDEBk/d\nO/3PDLQmVVW/2UnJsbF+uh9GFvl2rozZeFqpPrtphnSzTEIubDBAhasLD22fEzfOLLK6n0qXUslW\nA3nmroVd4Pl4DUrsUJn8m8rojW8hNd5q0e1hLMNmk67wUXyLKqDxs9IHdCKdLJJVjdZKb7MKDbj2\nNjSTlxiIaS8eA/cK1oT1UbfH0VYQgcOha1B8iyqAGHwOtNpOtquGouIse45Vb0N7kEXAgyy6G7iH\n7ZxKQvPlqU1S0DcczG18B5VEbntAhM0C6Cctn3zXKYvK3ah6FdmyjnUuqfMYTvXe9Myi0EBhN+F1\nm8q1gRNaQU5qvIUv4n2bRRjBIlwodEJIOSUDIYR0iyYvndKNej6OZBaxmTBKl3uZX+UAACAASURB\nVM1CURZppcCZnVXEXMORbfEe/SkA4XXhXmGWRBb1m+nQjW+JbLzOkd4zpJsVNcRKK8h9A1RgoHhV\nO/LyNvcoVtjC4BSs79GfQmuF/31ToMUOmwACgYzuZdTGt1RT7VrR2/Q3WQhIJXaoA4jB2jRQIs/a\n7MA2fiixCxyIylIB1xEZo2OQGWxovNv3n1MGdGIXRAw+B5Q2k7b2UEjBfbZiLpAabe8ED7LoTkDd\naPRBmAvfAAaAopI4BWHmlV9XkTa0bXWyoYWG/4XAMAm+MBVZLqnzGHjAhs1EZsS4Ca9dWPsEFcKq\nADXe8m1o2rLgTYrc9ovioLr5CwirYeY+R59ZNP85uk2vCDwfndLNtMTz8QpZ1GqLinMwNtWGNjxb\nCGrFztlKIu6PLdvg/bYni0LrwkWVY+IbufH1yqJ8G99T6PnMOcElqpXa0E5kUaiyaPhMbpRZxMx8\n9lsK3HX9fvupbNZtI7eobf57Ou8OaFg4MVyqqXatYOqQ7VjrwGNdmwY6g7II6NWhGAKXg5VFA1GW\n23IksCwbGleH/nPKAC22qBPbXXNDGeuJvxyoBEOXWW3W38MfmUXAgyy6G1BVEoZJcLvOCeQ1kFQS\nbgqQeVEpoYKbtIBeWdQOfuzQ8L8Q6AWGnuaSOo/BVWdTJj4mUlnkQnhB3ZwvDNzMy7FLqfGyg9CG\neA1yM4RwHuLVYcJ2BIXWQFQTlC7u/sQDVVJPL4YgZur56L6uflVZNLew80oOwu/SUUmOa2+P77Bh\nQ3B5YIV07d9j/H2Pd4eoia/LS8p5zXjiaWYIZHm1Whuaal2FdJiySFRhgevZYTp0BafSTjG4YR0a\n5HlmGvmELfJvKpk6RL3HUk21a4Xo9jiyjMc6gEDY2AY6k7LoyLb+ZwdnFsn+OZRbRSKtgs1E7rp7\nfYqClasDjpkGp1o+lVEMJqDTZjIDMRRVAWURJ6zh7gUPsuhOQFVJWL7eit1roKkknLIo3+/tsiQs\nj7GhybP/Lsdq2wWqyHJKna/hdKznJ2qOUApVFgG9zJqtVVmEebLIq/Fu1TRERGz1qWu0U8e0gOu5\nNkSfY0OxRXZxyiIhJY62ArpQG9pJyaGMncwrAs6sfhQbmic5wq+tczJ5E0gg+OyqhPM2duNbQo3n\nbGhzpJvlVZ8RtUKYJq5Jq8qwYUsB091sG2IKns5CjnMRCLZ6wq6AskiofdTGt4Qab80Q+pDvWMsd\ntgHHeosjbBWm5BzDke+wQ/+zn4Lb0AZlUe7MIsTFRlxDjmw8qQ9ocx7rAiRwCjptvEosB6Rg+QOu\nCY2294IHWXQnoKokDK8gF0YgpICikpC1U5vkX8THBLieh1qHSnRD0FsOl7WByCl1voZTpen84tN9\njQhUcgC9zJqrZbVPUCFMN09y+M9x2TY0plt0EdPCetcTJYoaCn0FgjCp9OcjYTNkI5vdAKBhNVhH\nPB89WXQibVttUM80l3AhoC0jbc594ULE4vycTA5tJHPNVCxhES/UHi0PvyeUUElQbWhMVKiZgs1d\nLfwM8O1zgcRgVffPkSTLYQKYVUVtaFW96RWsQNT5eP1Fd6iYRtfmva8L3URtfE9qvAdZBPSfY5ft\nWD/hiR3J94StPcLIPGRRxzfYoT+m28CoBZdzk7sNrYospLkGkaGJUeoDukzKIlPtsLXLuoaUzmxD\n4zx7jlVfkPTILAIeZNHdwKskZjYalsnVBmFeQ+9Dnl5Iu0l9ziDM0yI+LuDaITT8LwSGV+ALy7HI\nKXW+hhBrglPNiEAbGtBPeldLFkHPZm2dPPnLOn9eQ2SbRT3Ym1Ia7YTV86RbQGOTzyyKIC8bBJyP\nYzY0whSwgyRlFikVb0PTr5BFgSHTnKO1EjahBTJ24ysH62ZONZ5Tm809Z6zLfkmw390KvkkrsC5c\nOgXejXL5+DOEozo7ZMfzPDNZ3ZPk+5fxisprqCI3vqWaateK/nPMc6ztcKwbgtVadS1qpl55JqSg\nEzs8sSMEZ6gDrUinNrQCNrRMAdch+X1jqEyDLtdauHqBDeugF7Re64wtYEPLqyyixJjcCx5k0Z3A\nqyQIyqI3yoZGCrh2i/j8WRIsQll0ThYVtaFxuTgV2Saj1PkaTmHmBGWRjrP9AMCRbyH0Sskiq2Bm\nHpAiQ9vHcyBWRuxq0VMa7aTtCKSbOx8Lk5d8C049H6/Z0IhTQAVJUu3oBLLIyNMCOqYuXEEkKYsq\nfUAbsWErocZTzoY2d48azsNVtkq5uvDAMHPGea+8uZUN7Rmm0s4OmUuB4MiilGD/a5CRG99HZtGr\nyEkg8IH4afbzx/owfA3LRBZpscMWRzxVYrI04RpObWh5iQEJnY0sOjWDxu+lckYyuON22OclgVPQ\nqdxtaCy/sojQaHsveJBFdwLqRsOKCnJhapMUUFQS0lfs5ltIn2xo4Ru757KhWV4tzoa2yyh1vgZH\nDFKURXbYWMmISuKObSFXShZRJmwnNd6ybWjctFFWkBNZlKAsotx7nNKN8Dk6ZZGMsKG1bAtJVRZ1\ne4CJV/KEWm1IE2DFBBhFWeRsaBG/iyOLYuvCFZOk9zgGaRqoCKtsiWw8RzzxORva8NxvM9uLngOs\nO6BBHVUX3kGC3ciG1k+ly2402kFZFHM+XoPYOAIh76Yy1l7u1XgLf848F2qbz6Z/Ios+Pfu1x0Fp\nxjIN8rTY4glHbCPWt6c2tHzEgDUGNYsrpLkG/1xKuPfU9giT6Vizusx1nQJlaGplKqTg+XOsCI22\n94IHWXQn8CqJOQsDk28WWWQVzEzItFeOJGwgLuEmuHOL+Gs4VxNtZVkb2pKOdW6p8zXI2k18CGSR\nVxaFb2g7sUWllxUoSIWAmlfEZAhwfA4wE7dh2+7SySKJedKNV/Tz0d2fYsiijm9RUcnLdg/UL4Cz\niW+Isohi+3FKgZj7o1MeNpHhnx3xPY4hduJ7ysbLqGD1Ifwzz3XuKsjXpyxiao9D5LFWTNzWhlaY\nLHKh0TrTgIVv+vtem3lTGWsvL9VUu1ZsTJPxWA8qMoKyyJEM7ntSoWWflxSjnOecQXCW1XLk7Lk2\nE1mUIxtvYxvoTOQcHxSDxwWRRZ22qGZyEENQC5a9DY3SaHsveJBFdwKvkqimT3wrKsiFqU1SQKnD\nlAUqdl2WREzbj1MTbSsOPtNAlAS+LGLQS52rgplFkh486M4HGUEWKbFDFVBLuyRIkiLGtUotmyzi\nNi43hAuBg62TGu0oZJEIyiyKD1zvxBaSWp3b7V8JtwboU0AFCU4g3Z0Njce0zwzvrUFc0KsGTf00\nho1toia+JdR4VBuam5ivkSzq68Jjj3WaiiwFfe1yWbKoG0i0XAoEOSiLuoRg/2uo7RFaRpBFBdR4\na8YGR1iZS0U2kEWEY+2+xinPUtG3c7XRmZySM3QZM4u8PTeT5ajPxhNJ2Xg728BGXDPX4I5bbntp\nCvo2tIw2tBIB14RG23vBgyy6E1BVEpbXq63YvQaKSqKq8298tXKL+PDNkHuAPtVlF5qWL4sY9FLn\nOs/06hqqACWHJ4sirC5a7LChbs4XBgE1WyHrN74LJ4tilUVAr1xhCSHl0urZxWflLbCEz3H4rKsZ\nwv/qt4od6iCy6NVNAXUKqIk2NE1s57wGd3+IrZDubWgJyiJ7jJr4lsjG88UVM9er+5zVCluleGSg\nODDY0G6oLJrLS0xFN5BEJpMCoRoUlV2Td1O5s01UFmEJNd6asbPHbMdabun5VO2hX5vJTXhG3DXY\n6glPaLCr4ragucOMO5cxGvE8GgM1v+8arDHYos2W3ym2/XE7Logsyt2G1mcW5bahzYsN7gUPsuhO\nQN74CtlXSL4hkNCzG9+TsihnSw0tS+IaHElUsgkNWF4+VW6p8zX4858y8UmoKjdyh81KlUWVVd62\nMgZ541pqKlKm+w024KnKIiLpRsk2sN6GFkleUs9HZ0M7A3UKqIlEjGs34hHh8T6ENzLUVxPVT2Po\nJ74RZJEj+bKSRcR71PAcUivMLJL6kHCs01RkKRBWQReeSjs7ZK5NZTVsKlVGZZE1BrvI4oq1ZOM9\nB7RS2LDuleKBFJyO9TyB0A2NaXKXhyxC/QTBLN6u45QgucOM/X0x4/Wako13bPbgzL42tImFP9YL\nIos6Y7K2odWCF2rIe5BFwIMsuhu4Td2spYZX4MwuqmIxBZRGospbavL9zqcsiQhlUc2HfxcOVuPV\noojB3FLna/D2KcKk0nolRyRZhHUucCk2tKrAxrcERMJ0v+VbCB1HFvWBmXrWhipCLLAJ56OWO9SW\neD5es6ERp4AaFYmIMQnKInd/iG2AohJa13Da+EZkFhUYSlBJt1Or1LLJ3WuIrV0H0o51KoTtik+l\nfQ5QJut2veuJCH3MRxYdj4dh4xv+Hkuo8dYK12TF6uc/1u5rqm0eosoFZb8t4o5rJXhWFcmpvTgj\nWYT4vLQmc/ucO27qGD/8yo1O5yWLpGDoVH5l0cOG1uNBFt0LfMA1bQLp27xWDgk9Oy3wFbsZJ5A6\nQda6q/oFZkz4XxBEBcEsjF6GFS231PkaKrdhoxzr4UFf1eEbFVs9YUfdnC8I1hhUTM+2+Hl1S0aC\ntQR4wnS/J4vi1GHKkZEzpFvtW1NoZFFnRVQrVH8+JtjQiFNAzQS4JSiLHJkeQXy5EN4kAoHwHq/h\ntPGNsNQUyMYzRHu5+/s1VpBXCRXSiklweytlkS5uQ3PNgLms25un9/avm5EsahLs5TLk/viGo9nn\ntenXu7cA0MgidXx3+J73ZvnZTj3+loy7D1c8b5ixShhejL5mQl6aV9lnO9aDsui4HGWR0hYyZ2aR\n4FlzrABao+294EEW3QmoKgnHrHcrlKtfA0UlAfRTgJTmgkukBLieAq7LkkWML4sYdNJ3mWl6dQ1c\nCGjLiJvzFsYyCBnxsKh2qJhe3XXkvPsQNDXe0m1ownbRG7aObyGpDWIX8IGZs6Qb/XNkRvXTygj0\ngaJHWMpi6mpmEZUsohEx3j4VsTh3IbyxdeGaSYjYRbzf+MaQRfnVeO68mdvksOE81Au514cgpS78\nlsoiTshLTIUnizLZVVwLpElogbxEM1hfeMQ1c8rGW/Zz5jlw3Pfro5jP8Ro2T/06i3KszaBI2ezy\nrM3c7/CWiDuuUuQNM/Y2tJzKohQbmo9kyHOsnYrMLkpZZCEzKouqzA15AFARSkruBQ+y6F5AVUms\nuDXlElSVBOAkowWyJCIyOZyiqLiyaHhvaiHH2pFFVS5f/Aj66mwKWRS/OXfTv/3L5VSVUuDblW6g\nxisBnjDd7/gWlYnbXLfD4nNO1i7d/YGyoTUdulilwpARcTwSyK92D1xsSKhTQM0qCEpmkY4ni9z9\nIbZCWieoTU4b3/BNk3/2ZlTjOYWWnBkCuey8NdrQanOMPtaGpeVTpUDarriFweUAiUw5f9sXg3Ik\nI1l0HCw1MVmEJdR4a0V7+DSAjMd6UJHZdl5ZZIavcd+TCvc7vBVtQ2PoTEYbmnJOgHzXa5+NF3ev\nd5EMuVT22ye6iuy5oIxBnTHgug89z60sepBFDiSyiDH2A4yx32KM/cLI3zPG2H/HGPtlxtjPM8b+\n4NnffQdj7F8O/3xHrjf+QCCIKgm3uVlja8olqCoJIL0h5xIpNotTG1r5zCJgOaGnuaXOoz+H2FLB\nTJdMFrkJ0VrQdcPnQpiw5VbjlYBICCjUcofaxCmLnIJjjizypBvlfNQtNOJ+F3c+NhTyMkFZZDiN\niDnZp8IXYi6s00TWChsmwSNbIP3GN0L9WEKNR1VouUyjNbZKbdFEH2sNSbJFloCwuvxGYyB1XdtR\n8svVWyjLYbt8m8oUe3kJNd5a4Zqsch3rnSeL5olBRyh5MjERctu/znt43NozNzHg7Lkxw4vR10zY\nU3TDsc6lst+9oBODz4VOmazKIik42szKIkqj7b2AeqR+EMC3Tfz9nwTwlcM/3wXgbwAAY+yzAHwv\ngD8M4OsBfC9j7P2xb/aBBBBVEk6uvhQCIQVUlQTgCITnX8Rfw7PZ0Hw+1TKIwdxS5zEoYr030220\nksOF8C6pqpQC1fa5NpSsrdxqvBJIme5rscOGWjd/+b2KTrp1xHtPig3Nyf4byvl4lSyyqAhTQMMk\nBGFzbod7zmw75xU4SX0KWRRrQ/Mb3whlEeMcyvK814zPIpw+z/ig0FijYnhnj7CxZBGnnY8lIJ/B\nhubsZzKTXYVxjgYbsC6OJL+GzhdXxKvxHja0M5t+JmWRkBJHW/X3+zl0BxjLsNnkCdeutv35+oLH\n3Qtz16Sfhjt5yaJYBWvX5CWLNtsnGMuyXtep6AytNIOKSrDsbWgVFGxGa+KaQSKLrLU/BeCTE1/y\nZwH8bdvjZwC8jzH2BQC+FcBPWGs/aa19B8BPYJp0eqAQmOl6+83c161Yrn4Jr5IgbHw18iqLbELt\n+nPZ0JgPPV3Gsc4tdR6DgqTZfqzqvzYCLoS3XZmyyJMcFIKVVTfLA6FCQEc3EqU02nmimkK6MVpr\nSk8WxZ6PTulGIIuu2tBoU0DDK5JqxxKDma/BhfDG1oX37zFy4puYq9YRVY1UGJ9FOG0v98qilW26\nXV24jQx67W1oN1IWobyyyCkGq0xqEwBo2AZc5bOhubruKmIIVKKpdq1wZFGd0aZ/YBtwAlnEuj0O\n2ESVK1xDNajH38PilUU5M4tOGaMZbWgJ9x5nF8ulsu9J4JpGDD4TlDaoc2YWCZ41sygkxuQekGvs\n8YUAfu3s/399+LOxP3/j8dG///3Y/twPkr5W8S2+4M//LXzuF35ZsffDdNtvSua+zufYxC1o/+/v\n/8t431d9G37fH/7WqO/PCa+SoFhqmIhuyLkGo+JtFlvpyKLCU0lnOWzLbiD+yQ//Nbz4pR+d/bov\n7n4LQD6p8xgUaDkWTHfQkUoOV1Vq/9fvxi/+79ObWssE5J/4L/B7v/7fi/pZl/gXH/lJfPKjP4IP\n/YW/Hvy9qqN79xVoCq1r+P8+8o/wzs/+PXzou/77qO+nIqX61FYvsI1stHOfI2XxqYmtKcx00JHE\nl7OAfOAnvhv46bcnvtL2ypfq1Y1dZ+jKIkmYpjqySEaQRS5/gVXxBEKs2sRtfGXkhi23Gs8q2lDC\nkXJ2ZTa0w/4zeA/iK6QNkxCIO9af+I1/jV/9u9+Dr/oL/xO2MUSHLZ934dQ6OXP+GrbFV3zyp/CL\n/803Znm9t9SnAMRtfIuo8a7gY7/y/+K3/+53Q0Rm1D0H3qd+B0BesqjBFl/xiZ+cPdZf3n4MB7ZF\nLs33Zvgdvu5X/jrwP/+9+W/4hv8M+H3/vv/fiuclBnxsRMbMIpOgLNIDMbh5ykkMbvHlv/njpOv6\n01/wR/Ch7/xvs/3sS2hjYSwgM5GPQK82a7M25HWogIcNbcBiAq4ZY9/FGPsIY+wjH//4x2/9dp4N\ntWnwNc0/xcd+4afK/iCiSsK1qsS0plhj8HW/9oP41Ed/JPh7SyBEJaFZBW5K2NDCbRacM/zFb/oK\nfOsf+Lxs7+caTiqysguk9/6LH8YXt78y+3W/U30u/vFn/ZlsUucxaKINjZsOisUtHr7o938I/3z3\nDTiK+U3O729+Du/83N+P+jnX8Mmf/TF86N/8najgct31BCulxU8nqCTe+eiP4kO/8bdhdFx2DBUy\nQUZsqx2eGLFB7ALGkW5UGxrlfLTxZNHx874WP6m/Fmr2fGTAl/0x4N/55lffIzGzyBJtP055GWND\ne+t9n42f+dz/EB/4Q38m+HuB4T1GEgh6UD/WkUqO3Nl4bhM9Rxa5AGxT+F6fG82ghItt+zK8irYc\n/quf/XF83e/8A/z6L/2zqO+XUMU3Gr/7g9+Gf/K+P4Uv/Mqvyfaav/al345/W39Jttd7Kd/GP3vx\njfhdX/4Hor4/txrvGn7j5/8Rvrr5CGTGNWBuvJTvw8+++KP4/C/9vdle81d/97fjN+svnv26j9df\niF/+ov8g28/9/C/5Svz829+Mzfs+f/6LP/ZR4BdfJZR6G1pGZZEb7lThz6PR10xQFrmGuk1GxeC/\n/KJvx8frea3G57W/hi/71z+c7edegzt2WW1oPG+OVTeIDR7Koh65nmQfA3B+x/mi4c8+BuCbLv78\n/7r2Atba7wPwfQDwwQ9+MG9K1Q3wh/70h4E//eHZr/v1X/4F4O/8ES8xLQWmOxpZJOKtSW3bYMNM\nVglzCk4qCcrGV+RdxLvJeR13o/kr35ZvQTAGTwwWnjZXpsGv7v5dfM33/MOiP4cKqn2KWRWtLHr/\nB74A7/+eHyd97bvf+/lgGeXBTlZ+2L+L9779WUHf684FkrKIWJN+Daf3+Bm8eO/7ol6DAgkFRBIs\nboPaHF76gEgqlP8c5xef1HsPMwoqVln09hfgP+n+Cn7wm78O3/R7Pjf4+/s2NJoNTYBAAGoayXEN\njHN8w1/8W8Hf52B4Fa8sSpz4KiIxSIUd7Dn1DOnGh/PQrCwoOKVJC3DEYBwhbQYrSBuZOyehYQtv\nND7wu74UH/jPfyjra37oO/7rrK+XiufIxnPH+rM//CP4nM+fJ0/eFJRUj0xB1ht89V/+MdoX/41v\nfM0+VQmOl22+QZOz5+ZWFtUmbl3ngqg3GVX23/Dhv0b6un/8P3wnfs8nyq7V1dBkl9uGZmyvWhKE\n5tY5uBgTysDvHpDrSP1vAP7joRXtGwB8ylr7bwD8OIBvYYy9fwi2/pbhzx4Y4PJZTOFKQ060MLhN\nYgxZ5Jp2uFpGiNpJJUFRFuVtTTEJNovnglcWRajIQrAxByhRVi0UAkO1oRkVreQIQe6MCEc8HSnN\nVxfQXhFDIFgTaqndPeIQ8R5DIK2OVhY568vh5aeDv9ddU5TFJ7U1hZsOJvJ8dA2Lh8gFdq8sml+A\n2UAbWhVBFqXC8qpvOYmAe07HTnxT1HjXX3BQaM0qi/rzcG02NFcXzqMzi+KJQXesVQRZZLSGZIYU\ncP/ANLKr8a7Abc5DhwIPPAPqJ+CixasSLKuKxBZoQ+ubQePOW9dQt8toQ6PCVE/YRdrvqehUfmWR\ne61cijNqo+29gLTyZIz9EHqF0Ocwxn4dfcNZBQDW2r8J4P8A8KcA/DKAPYDvHP7uk4yxvwrgnw4v\n9V9Za6eCsu8O9XAzsIWDx6gqCXezNBEWlubwLt4GIJZCFgWoJHobWn5lkcgoa82Nk+WwrPS6tsfo\n5qIS0EyQHuIpNrQQHNkmK8EqdE+SHpvwTY72GSiUrJ34zCL3+7aHsiS5hIblcQtA5kKhYzaLAYGZ\niki6caugI8XALiz/0KWQRQQbmghTFrm2o+eE5RISceete07HTnxzZ+M54kmI6fPCPYfsypRF7v4Q\nGyjeE4ORG7bhWOuIuumuO2IDWhPrA9PIrca7Bju0RG0z5gE9kAnVri9dOIPMnVlEJN2DXpPF33vQ\nHdBaifoGwxRUT9iwDlopCFlmWNoZRxblVBb1ZJFTLaUipNH2HkA6E6y1f27m7y2AvzTydz8A4AfC\n39p94GlYdNq2MFlkFGnj6wgEE6EsOg7NT1IvhCxyPmSCFaSfAuS0B8S3oT0XnsuasEWzMLKoIm3Y\nuFUwhFD4VLRsl5VgFcP1R2q+uoDxwcwEZVFCq5S7RxwPZZVFFRQws5EegwuPbSM+R7fQ4ITrXxPt\nfNwqmMgMFEcW7SOURcaFUVKmgLzqrX+zL9rBWFZsMToFS7XKXfvexIlvihrv6vsxXb+pmLEIuk3Q\n2irITxXScZ93Sj6V26DGRASorsUGADLaWu4V2dV4V8Dal2hshe0N7kcPzKB6Abz8xCt/lDuzyA93\nIjJGx2C5BI+89/DuJQ5sg1vsHryiev8ZvOet9xf5GY7oq3NmFg3EUy7FWdcO6vAHWQRgQQHX9wpZ\n1WitfI05zw2qDc1X7EbI1Z23vzJN8PeWgK/DJCwADBMQkdaEazhlSSyZLHoeG9rOHmEiA0pLQDNJ\nCj3l9nlsaC3fZiVY3Wu1EURMkBoP8QGO/j3uy5FFWilwZkkB99cgkpRF/TVFkbUbIoEgEmyR2zre\nhuamgLSA6woVhUDUqs8iuQFS1CZo92itjJ5AU5vvqOizCOc/R2eHXpuyyBE1VbSySEJGEoPOzhsT\nEaCGjUbsveeBE3Kr8a6BqQMO7PlVjg8QcMWGVgvun0s54GxokqCopiIlG4+pA3pt4vODDZbfpuDa\nzAdcZ21D618rVyOa2z9SMm/vAQ+yaAHInVlyDVSVhJOrx6hNOrewWwhZFKSSYPEqiesv6GSty7Wh\niQRikArVtaiZAhZEFlG95NwomGewoXViC5nxmqkGG1rMRNzLsclqvLhrxt0juoJZbZ0jQSMnQ876\n0sV8jk5ZRMpLo917BFR6ZlGEDc1NAUmZRbwibc6Z6dBl69cIRAKBwNUeBxZ/T8+djcdMRwo9961z\nKyOLtMuIirQHWVFHK4vYoPaMiQjoAtoQH5hGHxFQ9rzlN9ycPzCDagd0rw7TpGBZbWi2QGxESjae\n0Accb0Re8kFZdNwXXJsNxy5vG9pgQ8t0XoQ02t4DHmTRAtBgk7UN6RqoKgmfWRRRsdsNE/h6IWRR\niEqinwLknfgC81kSt4S3HBbcQBxc9XG9ILKI0eq9he2gC1cfA4ASu6zXjHutKLJouO4p9qlejRe3\nEUt5j1Q4GXHsw74alEUqIvvJKLoNVRM/x96GFvm7CI5KsCgbWtAUUNCIGKZbqGeweF6DFVVvT4wA\n6/ZJm0qTUKd8/QVpCq212tCcqqeODXqlKt2uQAwDvJiIAD+Vfmw0kpGSjUeFUHsc+UNZtEhUL15r\nQ5OCZ7Wh2QKZRSnZeEId0N7ofPT2+0N4sQcVKkCtTIX0NrQ8ZJEKKCm5BzzIogXgyLY+lLYUqCoJ\nrzaJIBDUcQj/tMsgi0JUEpZIIFDRZ0kIsIwyy9zwKrKCyiJn4WGLUhZV4ISJj7AK9hlsaFpss5JF\n1XD9qYhgVqP6ayCnIuYa6qFtQxdUFvng9sgNWz00Vca8R3dNUSaVVAJBCo68igAAIABJREFUWAWb\nQF7uKoEmQlnUBSiLIGpwZqHVzO9jFdStlEWihmQGNsLGIHSTNPFNyfm6BmY60udYufNQl7Xz5IYZ\niJpoZVGCisyvySIGeap9WBhyIbca7xqEbtAlKAYfKIhq99o1WAvun0s5YAu0F6dk40nTLIAsKrc2\nO6mV8wdc57InnsQGj/sC8CCLFoGWb30obSlQVRJOrh5TsWuOPTGwRdkMHCqCVBK8yppZ1GdJLFdV\nBABSujrlcsfLhZ7zTVzmRAkYYr23sDpayRECLXZZCdbt8FomwT7lbStTX5vgyXe/b0mySPnpftwC\ncLOLJ4t8wD1V1UhQukibZot8qiX2bfjxCpoCDs+Yrp0+n295f3QNVV1EC6TQBxx5fFh/ihrvGqg2\nNCEltGVAYYVGbjiyaPfirbgXEDUqpiOJwX5NxiPIIq0etcu5kL2p9gqkPqBNuK4fKIj6CTAKOCvd\nkZxlCzIG4O25lHUPFSnZeJU+oBO3OR9dmUAXoaimwuUKZbWhDeuTXIqzkEbbe8CDLFoAcgfcXgNV\nJeFsaDaiDc1tqrZLURYFqCQspxEIVFAX8bcEr8qHnrpGLrEgsshyog0NXXRGTND7qZ6yEqzbQbVj\nIpRF1gczE64ZJqOtm7vhHmFLkkWJNrR615+zMQG3PgOBkv1EDFxPVhbVIs6Gply+wPxywX3Wc0QM\ntXChCASN0LoGqQ/oeIoNLa+yiBsFTSTdFKTP0lsL2HAP22wjlanuWEcQg9WwJouJCPBT6Uii+oET\ncjfVXkNlGqgbbc4fmEE1rB2703NYZlcW5behgctou3NtGugbKYvqQcVZMiLAK4tyBlxnziw6tWk/\nyCLgQRYtAopvfShtKVBVEimtKc7bXzPt80JuiRCVRF+xm09ZRM2SuCXcg7FkZlHbLI8sMkR5cOrm\nnPx+5JMneFJhjfHEU0zWhgkhOSLVeP177B/EMe+RitTckN2LXlkUE3DrZe2ENkTqvUdAwyYo3aJt\naF5ZRLOhAWcWwBEwq6BvdX8c3qPqwu97lW6SJr46QY13DSygIU9BgBVWaGRHt8febsBF3LniVGQq\novGzMgNxHrE2e2w08iF3U+011KaBEo/MokWiGu63ZyHXtWBZ29CcPbfKGXAtaGUP11DbBlrehrys\nh2KPoqpvHbCmIKKSmZVFTh2+4JKi58SDLFoAcgfcXgNVJSES1Cb2TMnggo1viSCVBK8gI6cA10DN\nkrglXFNbjIqMCjVkFjlp6xJgA2xoKZtzMuon1ExBRUy/L9G2DSQbHpYxofm+FYSmxotpGjo2+77S\nHnFEDBWODKAE3F/DbsgsiiG03DUlCBkIhtEIhApp5OVTpLLITeooAdeOmFMzw4IQkiM3/HuMIBBq\n00AnkEUparxr4Jau0FJM+OKFtYCpA5qULBmvdAv/vTem35zGRARoH476UBalIrca7xpuuTl/YAZD\nlTvOnsNScFgLaJNJXWQ6GMsgZMZnEq8gmYHR4c/cjT1Cy9vkfLoygRhFNRUnG1rGzCLuyKJMbWgB\njbb3gAdZtABoufOhtKVAVUmcKnYjNq5nzH+7ALIoRCVRhCxauA3Nk2gFNxAu9LyODCgtAStoyiKJ\n+PapELimuBwEa3NWd8q68E3OSY5NU+PFePKbs98z5j1Skbph40KgsVUU6ebI9ooga6dmGwioNGVR\nLXCICrimTwE9ETNDQHPTQSXkL6UghSyqbAOdoEDoLbD5VBI8gHTrUK0usyi10twFTKsIy6EL4Y+J\nCHBrj4eyKB06c1PtNWzsEeZGm/MHZuDKUbpzsmgIM86VW6RbdJmHu86C2kU8Z7b2CHsj8nL71OfD\nmYKqbxVSmkGEOydyZVmFNNreAx5k0QJg5K54zk9vQ5s/6asEZdG5t78Zgo1vipDQOi4hcy/il64s\nqvtNT8nMIjWEnjtp6yJAJAYllA/sLQnXFHd8mX7NNPtT3SlTCfYpElkUR7Ce3xtYV7ANzQcUxj/s\nD2wbFXDrNuV0Cywl4Fp7C1UMdpXAISazSNMDrt3mXM+RRVbBsNvY0Px7jFCbbG2TNPGlhplTEaIs\n0iu0oQl1SKs0H8hVHVHYsUW/JouJCPD3nkeTTjJyN9Vew842N9ucPzADb0M7PYfrzGHGrERsxJCX\nFqoYt8Zghwb2Rg3CW6csKkkWhZRmEOEDrjOpzUIabe8BD7JoAciZWTIGSbQw+IC3iEUlP9ucusr0\nWyKkkaj3F+fOklh2ZlEKMUiFa+Ry0tYlwPIKFWHxKZ/Jhuaa4nIQrMez1xAJNjRJsqHFefLP3yNX\nBZVFLrMoYbp/xCbuPbq8NJKyiFbvnWpDiw24VsYFXBOURZJmQ+P29jY0HdECmTrxjVXjjYEbRQ7h\n10yCr0xZ1AeKx5NF/nyMsPjuhjVZTESA6ehrjwemkVuN99rruwy9G23OH5iBt6GdBVxnDjNmuoPK\nvV73Ctawe+7xeIBg1g8RnxvbodiDRRSkUNEWUBa51+pUHgIxZP94D3iQRQuArXbY4hhV70oFVSUh\nhISxLMqGxtVpUVWydpGKEJUERI06smL3GphV0DeyWVDhN7IFG3LcdGKzJBsakeSooGCfwa8sNv2i\noM3QPtEeTq/BIybi7gFZ1YQNWuTG9/z3jMkDocJPhhJyQ458G0UWWeNsaARlkahnM7SsMaiY9gvQ\nGDzF2tAUfQrIBU3JIUwHczMbmgu4Dp/4bnFMmvjmtjsLSyeLFJNghRUauSFNgzaBLOI+cD3sXqi6\nFjUbQm8jVN8nG9rDwpCK3Gq8S7gMPVs9lEWLxJWAa+lVJJn2TFb1Nt2M8Da0QAusaxBGfRuyiHGO\nvd3EZV4S4axilBxEKtxrqUznREij7T3gQRYtAKx6AckM2ghfPRXSaliChYFx3ssxdfjD+Xzj1x3K\nsdJkuNwQQiORI9JUhFz9GsQtq6GJkI4xL2hNcKHnuxdvFfsZoWBDS8UcMdgTrOU3tHLTE2ntIV1Z\ndE7SxmRtnFpBCIoYUUdtfLsz1aEoqCwyGUJmW7aN/Bw7KMtpLU4E8tLfl1KURZWMs6EZ+hTQb84J\nNjT9DBbPqz97uO/NNbZdwofHpyziiSoy8stZeq6axvqURZU+JFWaO2VRqA3tPD8uJiLgYWHIh9xq\nvEscBvs3qxdklX/ghGo4LmfkhVeRZFQW5W7nPClYw54zh0F5zW/YINywDVjBtZnPLJL5KIha5j0n\nfEkJQWV/D3iQRUvAsPhsMmSWjCHEwtBX7MbUCu9xtIP0srl9ZlFIWC8ip81j4JbWPndLMM7RWlFU\nWeQCjJ20dQmwogJnFnqCEDVaQzCbpOSgQg6qqxwEqyNijrZCFUNymJ7kYJSJj6ii1HiO0DraClXB\nFkjfZpEgI+54HFnEdEvOQKDY0Nx0kqVkFtUc+1bB2rDFVMgUkPs8oGmLl7AK9kb3R/ceTaD91j2f\nU+wB1DBzKmSAskgzubrMojoxUJx5ZVHYM87lxx1tFRUR4JpY5cPCkIzcarxLuJw/ccPN+QMTcOT8\nmS3KqVxzhRnzEsNdRxaF2tAGoprfSFkEAA2LU1RT4drQKp4x4JrnzbEKcqbcAR5k0QLgbgpNwZyf\nEJVEx2QUWST1Ee+wtwEAumA4GhkBKgnmK3ZzkUV68coiAFCQZeuUuz32dkMjH54LfD540DdYPANZ\nVA3h3zpDValrn3uHvR1FxDDd0VtBhs9xinS7Bvd7xr5HKnwbYsLDXold3Hs0Cor6OYoa1Qzp5qu/\nk2xoEv8/e+/OM8u2ZQnN9YqMyF11rqqqizYAtVoIiTaQQCrhYCNhAWbDD8ACAw8LISw8cHD4A7QQ\nVhst4QAWIHUZYNAI1GqHbqsM0O27M17rgRExV+aXOx5rrpjxRXx7x5BKde+5++SJkxmxYq0xx8OH\n50YtFX3MF0ghi4br82s2tOA+pWlwCvEaiWs9vp+3THy5s/EkYQjkhN69gpwbN9+CU/mHJpwKU5VF\n7Uho/7/id1kRAXjQkFeTzmbkZuOlAq3b4nZlFp0SSzY0LmVRsOztxXFwQszGw2HakeRlJ267qr7j\nAIox4PrZhsakLCI02v4KONEJ7tcFbj7bnRrEqCoJCzqrYrfwNfxBDWSRZzj4bgZBJRHrlJmsgEMm\nxxcgi4Ta1YYm7AMacS5mPoUY7MeAXvEJZFFR/TEAPJvjtsCPn/EH9TsochoWfZ/eChI9+bTNkBsz\ni/6gfpcVHpsKP27StmQWWVVmXaPwhMDMsTVl6X5Epc6W+7E0w/VQrWjPNrQEGxqqdlak9wqOWx/R\nKmeJm3h8P2+Z+AqZp8abgyLY0LzQoL6YDe0GDfgNSi78rT2xvhqn+39Qv8uKCIhE9ZVZtB0729C6\nkQRGO/iFkyHa0F6URRItR4zKIub24txsvHg/Htgg3Mkqz36fCEppRioMd44VBlxfZBEAXGTRKYAM\ncrdTzg9VJeFAZalNitDCw/wJAOxbu5gKkkoiMZg1FUOWxBcgiyBPRZYKaWtoxIbq4z2QYE2I/9sn\nqB9uWFXabn9m3PgZD/MnUHi6fUL49AlbrhoP14bhGj9BWbTBCuJ0BUWGDUX4PllZJCS2psz/c+K6\ntMGGdi9GsogYco2BkSlTQFRSrCuLtjW7bQFu/gJxrcf385aJLwbmU9V4c6A0NvovqCza2j6Xm1nU\njdN93M80D9reDPMuTHGuQclXBLca7x39OLw48nB+YQG6GFTML8qipw2NSVnk+ds5c7Px7Hg/mvI4\n8rKXN9A77s1QEVYwKou474noTLnWcAC4yKJTAF9SezWIUVUSVpis1pRbaKC9/SkAPIONDwVBJSE0\nTgHoB8MpDC01588r2JssUraG7qTKoqV6byRAxCdMhssxs8gzPDP43LW3P4USMhUxqSSHytsMfbxG\nnudt8p+D9fUbXvZe3+GWodASFBvaeI/1C9kGcQ3fQHwhWfQgK4vSA65VqrIoOPDymIndM7OIdt/i\n+1mXf5z/D89U481BQ59uQ5PmS5FF3jmoRLepfU6PTTbU39pi9tu4n8Fcm2QwENUXRjA31b7j+Vxf\nZNFpYe4ALwNoVKRwqUhk2IMsysvGc6M63FQb3jMbYVWVl3mZiD7mIDJmFiletRml0fZXwEUWnQDI\nIPc7ZRZRVRIOVFZrShkacMXvwAXxYWE/ChSVBFY+cwVcK0KWxJFwoHYNPdWuhk6eq5I2kkULB1rL\nYPtJRflt2BRwEKz4Ga78M6hyFDGOIMdW64qYKYRxbXDln2Y1DSX/c7DNYgPhF3QFVRZZ1INLtKGl\nWGCxUUUeakNb3y6oRCJGH7g+qjjxpb3j8P1syg02tATLIQUKaMoi9YXIImwFEhsqzZ9KN9oahdN9\nV/4ZANAjAgJDXtqFEcxNte9wI1l0qy4b2mlh7h9taGg5skx23h1iI57Kory1pziwFMapKi/GIBGY\nWaQYySIjeXOswHXggkhrtP0FcJFFJwAG3FoGG8oUqCqJ3NaUEoYpYAP71i6mIkclQQ09nQMlS+JI\nWGF2Josa6OW5NswiBg8u2dCGjelnkEW3WwU+iA8y62z0NfRBQbj9BjfRg7O033YIetxZjdfX0AYD\nofgjqEQH3u0TXhrbLLaow8x9WNeIE8yBqE68d+S6VcYzKN2ybWjj5itlCoiH47Vp6lC4cAxZhO0m\ngao2Gd/PWya+ue1cc9DBJpNFQX4tsqgZc4PEBtsfkqueuA7akXQP94EsIkcEjPd/cVkYtoO5qfYd\naN0uLrLovDDVtA3N8xADktAqmfyZan2fOQW06Zf345RFTlVwy4gxSEXvAxRKghCcmUUYcM1DIJJi\nTH4BXGTRCVCMi4JnCLidAlUlkdOa0rUNGOEAijvUogTRn0BZRFBJ4BSAa3pFyZI4Ek7kqchSUfga\nrDqZskiv29CwweIzyCIhJdRwY3lmRP+AWtxAjCG8NXEiTqmQlZnVsLL/Plyj2bcF8jnd36AsKr6B\nFAHahvbbSN+DTyWq9bqq8bmGbyeL6Da09MwiPbZPhZWD3ZHro8zMLML38yYFQqYabw6GQLp5oUHt\nmP3CDQyZFkU+WaQSM7Te4cfpvvqjPwcAekQAEpH6CkfdDG413jvQ/n078HB+YQXFt2kbGlfAdbDg\nmN9Hudl44QT3ozd3uGXEGKSit5413BrgqVLiuidIjba/AC6y6ARABpmjOnsKVJWEE5pMINS4sTP3\nsXbxBGQRSSUxTACpktE5ULIkjoQTOiufKhUmtOBORhbJhDBzvA/kJ7XZcBGs0j6ghSdZ1BDJIkFo\nBXlmFtGeGWHrD9dYf9+nBRLbLLZkFqEFhnqNQwZC2toTJ5D9kg1trOLekIGSb0NLD6NEG1pYURYZ\nsDHs+bORapV7B76fMZA+B5KZLNLgkr/HIM2urVLcaOvhmVMbKs11PLDRvm+c7he//TMAkBERMKp1\n9ZVZtBmxVYqpqfYdeDg/UslxYQXvNjRmy5HaQ1mUoGCfAtr0qw3vma0IuoIyI8YgFdYH1rwiAAAh\nBBgloGdSm5EabX8BXGTRCYDy17BTzk9USRBsaFRlEXr6RfENWlGCcvux0qkYVBJpm7WnXP3zsySO\nhBNmV2XRzTfnI4uQGFyyodnPs6EBwEiwbrehSdtAK0qQ4zS+Jbb4UIIekWClqvGUq6GVZbSXtDu1\nQCJhYTZM91W8RtphUQSbvPakNDZ5hvylezH8rnVPtOREZdH65g6JuTWyaLChHbM+YrsJfeI7vJ+3\nTHyjBZaoxpuCdw608MkNeV6aL2VD42ipUjrNFvmOSCD8yV8HgIyIANdDFxQIeW2xN4O5qfYdoRve\nu9VFFp0X7zY0zWs52qOdE7PxqKpG6B/QBXVoC1cw910jAnrnodD8a6NRks+GRogx+RVwvclOgDtj\nwO0Uokoi8eDrhQZJzLFpx7YQdfsGnSxB7Zikn4pBJZE43c+s2J2DPrAamoIh9HQ/sqiEBvyGNps9\nIBMUMZgp8lnKooFg3f7MIBGjxgNWV9NafKRPn7BJnUewDg15ZSRiunonZRFO9zeQRWJUNVADbhXB\nzpeSY+NiZlE+wVKZTBuaT88s0lFZtETEWlAixEPgZyM2VBFJcnw/b5n45qrxptCjNZGSWQT7bP73\nAK4L+pZ/iFejLRKIZBH0D/BBwLff/TUAoEcECNddBw0mcKvxfkD/HdpgQOnr9zot3m1oqCxiUpEo\n4FcWRRsaUcEq+wc0BzcI58YYpKJ3Pv6GnNBSsKnNSI22vwAusugEMMUN+qB4Am4nQFVJOGnIBAIG\nQMrbN7CyBHMGZRFBJRGDWYly9TmYAyfnFDihQIb9DhBlaCHosymL1ic+sX1Kf85Lu5c3FjWedjX0\nH4gYqrKoT/bup5Buk9foG+hl/jUmw3XggwCl8l/4+jYQA11DV2j5RLIYD7RLSje0TG1RFlVFfhua\nUSIpjDLmQy0czpHkOIwswoBrqoq0rzdPfDmz8WLGVer9LQ0Y2G8wwA20/ZkNrUC5Yeair6GBAm73\n38ZrISqLfLoF/sIynkUK+2QWyb6GRlzZUqeGqQBebPoYZszVhkYpCkhF7ntG2BoaKFmvhYpnjMFO\nObousGcWAQzKIq7MIkqj7a+Aiyw6CWrBE3A7haiSSKxxDRkVu89a4W/QqwqMPwFZ5NOtIE8bGpOy\niJAlcSS8MGQVWSqctVCKHsLZlEWRGFw4nEey6HN+w15WYBiURcY10KsSTDmQHNRgVhUc+NSsHYOe\nfNozY1wNvaqivYScB5IKZ8HCNitI7jUOGQipa8+YobNwGMJ1KVUdOoV7JllkCVNAY9Yzi/DQ91kW\nz3eYTLWJ6B/QiG2beFSRcdidLVrZEm1oQRnQOw4GuPGskM5Xcj3JIuJvbR9QizJaDqmq78vCwAfu\nptofPv8Eh/MLKzD3D2SRjm1ofDY07vbiZzYe0aZva2g3vme2QsQYg332ZtiGxo3BhsbUkEdQh/8K\nuMiik6CBEuROodBRJZGabSA0KOKmsm+f+QJOV3Dzx9vQZOgJ032+TXzwHrTwyfaAI+HlfjY0bLnC\nKcVZ8LQcrh/O1WeRRUwEK7bPmZHksDmKmESSI26GiGRR4RtwqoRirCC37T5S5+HAtm0yFMkiMumW\nriwiZRYlEv5TMEqClgLqnh5wnToFNMW4yV3YIEe73WGZRcM1BqINTdoHNLBNaRhDTzlsaGPgbyrp\nFqQG/YVsaKgsKsotZFEeMSjHA1tuRMBFFvGBu6n2Hco+oJUXWXRqvNnQorKIK+AaHHtshM5sQ5Ou\ngU4ea0NTUVG9E1m0QxsawJCryKcssuDg/Ge4z8JFFp0EnbiBtPuocagqCS8NKKJcHQ+lpvwjcKqC\nYsck/VRQVBIqcwI5hVjxuqHm+rPgM1RkqcAGqbORRbGxaelwHmvXP+el7VQJRWAgi8b2OZzGUxsW\nVYYNjWrdLMIQev4ktPYhloXvod84Gbplf4/pGQg6hvAmkJcbq7irQtEzi5xPngIqrcEHsZgH1Mf8\npWPWx9hQRSYQms0TX85sPCS7kxVaqhiCxb8InoHi+WRRJAaJNrQhV+2WHREwHDQuCwMHsEiBq3zk\nHco10B2s5Liwgncb2qh05Qoz3qNwIWYlEtce4x7Qy2OjG3Q5/PO7nVTf1u+TWWSUZMuxojTa/gq4\nyKKToN0xFJqqkgiSTiC4kYG+3f9oqF2EE9jQSCoJvjY0nPgmZ0kciD1DT1HCipLWsyClOhurlj8r\n4NrpO9wYlEW30IDXVbRP+AySIyTnfOWp8W6hBWfucBuVRY4YHpsMhul+JN2ICi1Ku4qM3+M86RZi\nZtG2DW1lVIYNjZYvYEEBuPn3BwbVHmVDE1IOBADVHuDqzRNfmanGm0JsVEv9HqUBJQI4+zUIozCu\nXdW3/IDr2IS4cD9OQbsaulFtkhMRIHx6XuKFZeRm46XCuBr6S1l0bphvwwBiXLM1s7LIBMseG5E7\ngDaugf5gZRGWCuxVPtK7ENVhnNBSsBGIlw3tIy6y6CToRQl6L7KIqJII0pBtaH6cAhbVH4E3FZRh\nnykQBSrYZJUEVuxyKIssdRN/ILwsdlMWoYQVJa1nQQwzX/it8TCnP8mGFnQFN9i+Gb5BO5BFI8nh\nO9ohR4V0OXbuZghDz4sxuDYQrzEVwqW3Ic4hkm7U7xHSMxCeCq355xC/Y222HWruhaLb0IhTwB40\niAVlEZIcR5FFAHiNdAJh68Q3hahOhaMS2uPwot+rVYoZYVTzlBsyi4SUYIMkN99p10QCoYUbSEvb\nm0nfg70OGizgbqp9h/YN9OpcJRwX3oDq9JG0NQrb0LiURfw2tNxsPOMbsAffj1gqQFVUp8J6H39D\nTgwB15zKovOf4T4LF1l0EvRqvwYxqkrCS0OWq/vR01/efwMw3+Am+sMnmCr0ySoJXawHs6biOTk/\nvw0tCA16L7JorN1ESetZgDkWYSEwM3yyDc2bCioG62YVWgjmHqfxe5IcUY1HeGaC91BB8+EaqXkg\nqRDBgt34si8zA241QaGlC7RZzH+PIWYWbVQWFZpsQ7MuQKHTtwpWKBALZAiSHEfZ0ACGa6QSCOaF\nQMhFVOMxEDbPoPC07xH/3F6tUtwQ/QPqUIBU2wjfHjQI4nsds98AAFpRkskiQWhivbCMZ1PtPmQR\nZuhdODHMuIfsPpJFXGHGGix7bERuNl4RGnD62OgGVFRTMy9T0du92tD4Mosojba/Ai6y6CSwqoJi\np1BoskpCajJZhIep6tsfx4yax/ffkz6DGySVRMyx4WipOdZmQcFgQ9uHLMJQYJS0ngXxt144QHAd\nzpPBQLB2bQNGOIDiDrfyDj4IEDkkR/IzQ6+GbdsalAgA5g5VJGL2URZJv11ZlHuNitCGiKRbWLSh\noZV4Y2aRkVD3xKZL50FLig1NAywQ0Ggn2dLsthUO9CKhNYWBQNhIFuFvzTCUiC2nqe/18fu23ddQ\nFon+OzRiO1lvgU4MFuE53c+JCJC+T84su7CM3Gy8VNzGDL0LJ4YZowxGZZGSAoQAFmLAWTvsSbgz\nizKz8crQgD+YvCxiRMBOZNFOyiKtJG9D3rWGR1xk0UmwZyg0VSURZEbFbl+DDRKMKSJZ1O5ViZ0I\nikoipfI5FdFm8UkWpi0IqtitIce24xSoOldmESo5ln5rH20/n6MsEsWwWa0f+R7xGjOizB2ElNBA\n8SEUMgUaLITEZyZHjffMsbqDVAqaYMh5IKngyA1RWkMbDDnglhKYqfS6LRK/49g2lol7ocmZRUMb\nGkFZtKLkQDvJV7OhFaHdPPFNscCmAj8jVTGM37fdKSiYG9I20DJUmluR8Vv7wc4LkBcRcFkY+MDZ\nVDuF4bm+yKJTA5VFryHXTJajaMtlzhjNzca7hRa8OVZZdNs5IsC6sJMNTfA15IX08+OvgIssOgm8\nruDG0IY0BapKIii6DU30D6jhBkJKkGOgcbvh4MsBikoCCQTqBHIK0WbxFWxoUoMO+8i7MfS82JA5\nsQd0VBYtbD6jkuNzXhYYAt5seGbwecPPqkUJgmifGLz7qSQHnSxCMkxuuMZUSCYrSC1uIHvahM0E\nCuk2rj1L3+N4r+rNNjR6G5r1HgqCZNwJDXIxswgVMcetjw4UmUDA8PgtyFHjzSEqtBLXqK9mQ1OO\np9J8+K2J0314/tY5EQHqatJhA6cabwpVGGzRF04MzCzqXhvReMKMqXZeCqhDicGm3x5+P8aIgL2U\nRUS1cioGAvFSFu2Biyw6CbyuoNyJLCKrJKQBQySLpK2hHSXj6jYqix7HKotIKglsTWHwxe/58mGH\nNLspi1wMPT+ZDS025CwpOcbD+UYlRyo4CNb2Mdg+4/MnbiAtUVkULEAiwRrVeBQb2rgmSLxGuIHc\nSVnE1WbRwm1n0g0PQ0vk5bAex3UqE5VR0FADrp0nKYscKBBLNjSLZNFxjS9OLIdwT6HkIIsMow0N\nv8fkzKJ9W6W4gfX1W2HBkDOLMIQfIC8iQPrroMGFZ2YRP8l5lsPGu/v7AAAgAElEQVT5hRVEG9qT\nvNBMxEC05e6gdLVCxUFPCvq+Ay38U0l1ELBUIBAV1ano3U42NCnYcqwojba/Ai6y6CQI5g4l7DTx\no5JFaqjY9S79UCFtDY0YDtaqHBYabMM6CpQDm8FmJw5lETVL4kAMKrJ9yCKcStxOZkMzCTa0MB7O\nzcbDeSqQ4Ok2WDe7evi+5dg+14kSlKUR0BrSK2Rz1HjPHKvhGnPyQFLBpSyiXmPwHjS4ZJuVTmiV\nw3XJbLRF3jOURb0LtMwiYRanqd4evz5aoUESFZUldJsPlSm/dSqCRXt5Ilk0ft+xrfPk4GqpsmKZ\nvHyHsxZK0UMYCfyciACKBf7CMjibat/RtjVIEQ4/nF9YQbShPd/DRkno/XZiAG25e9ii3Uoz6Dvq\n7x/V4UdBKgV1KHaLCLA+gNkl4JpRWXSt4R9wkUVnQXEHIxx0Lb+6CCfWyZvK8QGhVOwq+4BuJIvM\nSBbZgzOLKCoJqRS4IMj+4in4T7YwbYI0YISDwBQK9wps4kJJ61kQD9xJtp9PIovGZ2ZLzlc//r2m\nHDYanaRlbQTvoRAuPv9r0Bk5X0iGabxGsSNZxDTdH0i39Gt0zoIUIZ10S6nYdR3YIDc3Q5VGkTOL\nLHEKuGZDw8KFI9dHR8yxieHxGw+VOWq8OTwVWmlr1N5Bwdwo/Pb2OYD1+/EddbTzDsRgTkSAugKu\n2cCpxntHc5LD+YUV4O/zakNT3Da0HZRFRLtzM6rDxQmUbo0oQRDt96noLU2tnApOsojSaPsr4CKL\nTgJcHOodrFtklcS4ie8JrSn6pVYYD6sYcHwUKCoJAKzY5cuSOLIaOhljqF+/R47FOJUoT5ZZpLQG\nH8SiIgZtC8kNghuhb+Mzs6GqtB+VXEjE9LIE7dMPOXY8xKc+M0mk2/s/o5m4RmIeSCpU6MExTIbI\n3yM+S6l2PqzYXVh7hOuHVqeNuBcKarINjTYF9EKBXFBy+Jihd5wNzZMJBAxm33aojAMbBgUrlXRD\n299XySwynqelijrdb16KAgBGsgioyqL0JtYLy4hqvB1saM04vJDF8YfzCwuYCLjWTGHGcb++Q2yE\nJa49OExTt+PJyxZuIInK9FT0OymLtBJgGdRmAPTz48+Oiyw6CcSeodBUlYTEbIP0l7PxDfRj3SMG\nGtv2OGURVSUBMFY+E0NPp0DNkjgSz9BT/mmz6L5DHYrNaog90IOOOTBTCL6HLigQ8nOWyPjMbCCL\n8O+Nyj5VgSGoduIhMvG+zVHjuRZDz//4eY0EIoYCxTQZ6onfY0+cVEYSf+F+BG+H9Wkj7oUC6wN0\nNn36Rs4sEnqRLEJS7NiA6+VrfEf7Fsyeixw13hzIiuGRVHJfpA3t5huWlqq1+/Edz1y1sRHI3KGi\n2tCCBS/P//7/CuBsqn3H+2994aRApc1rG5pkyizasb2YqmDF+xGV5kdisN/v1Ya2T2aRUZIts0iD\nA7iURREXWXQSIJOMIbWcoKok8JBDUZsY34Adp4C3+3AQ9BsOvltBVUkAjNkGDBPfZ5bEF2Cl8bfu\n+A8Q4iXH6mwY5MFrSo7Pe1FwEKzYPne7D5/lVAkFwT7xJDnS/7170CSVBBJaBaoPM8JjU6GCY7GC\nOFVCQVEWxcDMVNuvBBvkstLN99Az/LuUZiBuKeoiar6AFwZUgg3ts1R7U3CSSiAM7+WtCoQcNd4c\nAlGhhcMLz1Di8Bkood0cKA6AKjKC5bB5m+5nRARcFgY+cKrx3tHVAwmMGXoXTopoQ3ueKbiIAbTl\nyj0yi4jZeFF5fTte6dbJEtROqu8hB3EPskhAx2lD+wID/8/CRRadBDjZwJBaTlBVEmifoqhNihfJ\n+G08+PruOBsaVSUBwKcs8nFyfpzNIhVIDO6hLJK2hhbO+R1YoRYbcoTvwX7iZr8YQ8DDBuumj+1z\nI1mk73Dz6b+r7YaNAUWObUGTmobwGsuRUHa6JIfHpkIyBRQOAbfpmyaXkYHQr3yPwvfgWGxowz1N\nyS2iNpesETFnsaEpCoEwvpe3TnyV1jtk46U9r3jo3qNVag/cXhrJtsBJQzqwdaOKDMminIgABVeT\nDhdSCily0Y+H8zPYfi4sQBUAQn4IuB4sR9uJATeS53vs1y1RWYQFIOYEyqKemHlJ+mzn97GhScmS\nYwVAK0j6FXCRRScB5vz0O4RCU1USz4rd9JfzLTwl4xhoHLrjlEU5KgkLtByLOeD39lUCrgGeL0xO\nKFtDyxBQugcsaIAlZYG3LBkxqSjvvwEAgGvznxk/Pm/4WUPWBoHkwHtgRzUergm3cY3w+g4lMTw2\nFTr0LAc2pyu4EQitnHYVC2pFWcRjQ6uK4ZX/6NI3sJY4BQxCg1p6ttzxyksvNCggbOIxmJ1h4muJ\narw5oII11V6O7XP+C2QWeefgLtrYSLbps4QCFQjkKDY2jge2nIgAfWUWsYFTjfcOLGExJ2tsvfAG\nIQDMt7fMIgkdg7LIxoxR/vcRNRuvf8t0PBK9pCmqKbA+gN4rs4jhnhhiTGzMdL1wkUWnQQx83aNu\n3luSSiKSRYTWlBKeU8BbeR8ChHeqXUzBc7qfrpJwXDa0T27S2oKnioz/AKFcDd2JyaJVZdEn2tA4\nCNYQyaJRpaQrqAhEDG6aKHJsqhovYEPeaJULuoJyJ2WRCjyToSGzhG5DowTcr00guZRulRmVRQQb\nGnUK6KVZPJyjIkYfqSyShmRD45z49kCbNs/C08giVCD5HQ7d3MDgYWBoBfKC9ltjMQcO8NRIEFIi\nAnToLwsDEzibat9h3zL0LpwYxf2DDa1gakNDW+4eGaPUbDw/DgsxSuBIuJ3yJL0P4HzYJbOoUBJ6\nDrUZ5kdea3jERRadBDGUdocGseHgm66SwOBRitqkDA34cWMnpIQGChD9PhLGFERbFUklYVg28Tjx\nlQcehlIho4qM/6VgmKqP98BanbIgEqxbgQTrpmemr8EGCQW2axXfoBQ9eJdGDLgY9Ei0oVGemf4B\nXdDPA665DwoChhf8OzSTDS2Y+0CGJ14jBghTJpVrrSnS9+AY7sd7MWYWEWxolrixG1Q7C++OE5BF\nQa6on94QCQSGZsfBArudnKdmFuGfW2rdOwuwkYyjpcpJQ/qtY/bb+FvLMc+GEhGgwUXV7oXtoGbj\npcKNz3VxAiXHhRWY6qMNTXJlFtGKAiigZuO5SBb9xn4tVDhdwW0HsgjJnD3IIq6GPGqj7a+Aiyw6\nCWIo7Q7KIqpK4mlDS5v4910LhXAfpoC1KEHYIzOL6CoJz2RDw8yi1CyJI/FsyOHfiBlXn5csAgVi\n4SUufQ/uE5VFSLBuUeOJ/gE13GI2mSgwayPNPvGskE1/ZpxQIBeCwt8h+wfU4nm4RZtJs0NWmwbL\n87I3FSgRoG3TiLyYgUD5HleVbhY8iw1tIIselMwi60mS8TUihtritQe8MKAzCISCwa7ClY2HpJtJ\ntPOpL9SGFuvrGbJkBlskIVdtPLAV454sJyLgsqHxgpqNlwr8rTFD78KJ8YMNjSfMGG25cicbGiUb\nL9r0GYYSW+F1BSXwq76R4NNyn8wi5wOEsI0w6jr6Xvhnx0UWnQTFjqHQVJVEVBYlWpMw+FG8TAFb\ncQNpj1MW5agknFCkKcAcUFlkvoANDUP9Un9rCorQxtDzs2FNRSa8BSc+L7MIAKARNxAbnhlpa2hf\niBgMZm0Sg1ltDHrcT40n3kLPhalI10iBZrKhPTNL0q4RD+OUwEwrVsjLwKN0qzLa0HpPC7j2sli0\noYVR4n3k+hiIahN8L3NMfMlqvBmEcbBhijRCHocX4Qu0oSExoxiURQN5mX6/x9963JPFiIDEPLng\nPRjhLgsDI7iaat8RRvKhOIHt58IKTPWBLCqUZAm4phYFkD6bmI2H9yPGEhyJQMxqTAWSRbvY0PTw\nmVvVRS6jIOlnx0UWnQQxlHaHUGiqSgIPOanZBhj8KF7CKDtRgjqULMpRSZjFA1syPAa4nn+hkXq4\nL/aYNt/8M/T8bFi1oQULTnzuVKERJcgNajxpa2jE8+CIDYupJIeP9ql0ksMTPfnK1tC+XCO20DSE\nPJBUaLAQGCZDclzXqAotkrJImMX7Ufoe/FE2NBdImUVB6kHVNYdRWYQtR0cgSA0KKAQC2gO2b+Kp\narz5DxrtfInkri72CwrmRotkEUNGlJeGdGBDsqj6NuzJYkRAk7Y36+NB41IWcYFNjfcGzNC7n+Bw\nfmEFxR2g+6gsYgkzdvu1c1Kz8aB7QB8UFLfjFfmh+AZ30SbHGKQC1WD7tKENn9lvVJzlNNr+7LjI\nopMghtLuQBZRVRKoLEi1obUT+QLdjrWLKchRSTihQbG01BxfDZ0KDPXboyHnBi34k5JFfkVFppgy\nYijYSrAq+4DulSxCRUy9J8mhSNbN99BzJLS6HZRFBixLboiMAbeppFvG2gPLk3MZLMv9iDa0VGVR\nCGFoLiG0ocEKWYR2EnXgYTpIPdwfqX9+fC9XDAoER6xTnv+gHvqgou10DRoDrr+ADY2zfS5ITbIc\nonqhHC2H1IiA2K50ZRaxgaup9gd0bxl6F84L8w2gf56PhjY0hjBj3K/vYEOjrj3C1kMcwRkwKtPb\nhtftgmowvUtm0fCZW0nEfsxwvciiJy6y6CQoihJskB8C3LhAVUngoukT5eo4BXyte+xlCdrtU7uY\ngiyVBDGMbhbjYaj4AhuQaEPbwZpQhiY25J0NbqUhRwYeJQcF3cZnRruPgeLPhsU0AtplEaw0NZ5+\nI4tQWdQlXmMqvHOgRCAF3M9BjwG3qU2VuPZQAu6dWF57ZLDgGTJQ7mMbWmpmUR8l4wRlkSpAL9nQ\nfA8dgeTYA0EVJLUJ9DXbxNcBcdo8A+HtEPybCFS6hi+gLLKj5YujfS5Is6x0e4PovsMjPLPfqBEB\n/WiBhy+QWfhVwNVU+w5pH9CI8w/1LsAPAdeF4gm4RlvuPjY0mt1Z9o8P6vAjgcP/+juv6ntXG9q4\nT9naiJYTY/Kz4yKLTgIh5RBOu0PdPFUlIYkVu/2oXFC358bOqgoKf7wNjRRwLWgNOXPALAldnH+h\neRKDvN5k7xxUoosBxmeDX1GRyeA+PbOo36jGM76BXr2SRdjik6YseipiKDlftABH4xroX3KskNDq\nCOGxKegZp/uR0Eq8xmdmEW3tkQvfowoWPIMtsiyGV37dpf1mOVPANdWOcLTChV0gzSKh9Q7RP9gm\nvlQ13vwHdWAJa1S0Re+h0GAGWr4KjuBhqYd2skQIW38gEKgRAba7ptLcYFPjvWF4ri+y6Evg3YYm\nBVgGZREOd1ViUQAF1NbN99zJIyFiRADv3mxXG5rCzKKNZFFGo+3PjossOhH2CoWmqiRixW4igdCP\nMsVXZZFTJZgdwtFSkaOS8MTQ0/l/OGZJnJ8skgaJQV5rQjMerIXZbiPYA2uVpsr3LIdzCqyqwGyo\nKjW+AftCxGCLj0sMZkXCkDJhG9R46YdP4xtwE+onm3iNqejHNgtgeNmb0Y6SmlmSM6l00ix+j4pJ\nWVQoCUqKZBtabzOmgCtKDuF7lrDuLaDa0N7zwLbACc2SjSeIWYRFge/189vQkJgpuJRF1AMbvJJF\n476mo7UhclhgLwxwsJzplgvlmg8ZehdOjB/a0CR0DMoiVAIbw38fUFWNytUfogSOBJYLUFogU/Bs\nQ9vBhjZmFm1VnFlsyLsI/4iLLDoRhoDbPcgimkpCE21othmUC8VL3aPTd7htOPhuRY5KgktZRM2S\nOBIq5ljwTu3q7xh6fk6yaE0ezGX7ocCpEoqQ/8wUvvnQPodtPqkkh7f0SnPqM1OEj6HneI2peSCp\niG0WDAe2ohrUDa5NtKFhYCZp7VGLjU2Dsmj7/SiEgLtR6TY0nzEFVAaUCODm1hRvwcLnqvZ+gDJg\nhIOQKFeXb8HsW0CtU56DIH6PMZdlB4UGN7DS/MaQERUU8cBma2hfCG2MCAh9orIIw1G/wLDoq4Cr\nqfYd7xl6F06MtzY0owRLG1qIyiL+5zUQVY2DTf8c0Q1YLtByq753VBY929C23RcxSuBqQ4s4/2n2\nF8IQcLuPDY2ikpDEbAM3SkNf8wW8rqCEI8kiukqCKhmdA3UTfyTwBcltQ2vrYWONUtazYe235jqc\nU7CVYL29ETEGiZjUyudYIUtT40mCnacMzYfQ86L6jXSNqegZ2yyKkqYs8hkB934lQ0sFC4FJqVAW\nCppEZVHWFHD8zvuZggThT2BDG6/RJg5EhvB4HnvAmoosFdTvEQPFxRfILMJA8ZKBLBLSQEEgBtXb\ngY0aEeDGcNRrKs0HLjXeO94z9C6cGMW3oUnTDfeBYcos2rO9OBCbGI1vwapz2NComZepeJJFeyiL\nkCzadl88owQusgiR9GsJIf5NIcT/JYT4h0KI/3jif/8vhBD/2/h//7cQ4v97+d/cy//2dzkv/mfD\nXqHQVJUETiBT5epTU8CgKygPtKFlqSSkIdUpz39QD/3BNotUIDEQmAOuMSdHnVZZpBdf4gr4Duep\n8LqCG+Q/MyW0HwLF8aAVEoNZ80gODZpw8L2FFrx+3hO30eKRGh6biqfnfPvLvhxzU1KvEZ8lTchA\ncNKAWrKhAZ/S7V4QlEUZU0Ak6OxMw+IZbGiYZdV3ae9b7Rq2iS+XgnVoOU3/HoWU0AUdM/XOjDAG\n2VYMmUWBSAwa30AvP66BlIgAtKFdeRd8cMKwqPHeYVwD9iKLvgbMuP6OpK1WYrOCBAAgjOQT2nRZ\noQowhLXe+Bp6dY49s7nhkIzZhubHAdQumUVjwPVmZRE9xuRnx+pOQwihAOC/AoB/AwD+MQD8fSHE\n3w0h/AP8MyGE/+jlz/+HAPCvvnxEHUL4V/gu+edFr8pNmSVzoKok9HhYTA24RrLodWMXim9Qih6c\ntaD05x8MclQSgXjwnYNwHSlL4kgoTfutU4FhwIohc2IPJCmLPpksCrqCaoMNrQwN+JeMqOrboNoJ\nZGVR+qaJosYL3kMFLYSXa0QiJiSGx6bCdozKoki6Ub9HgqpxhUDQwUJgIlgqig0tZwo4PjduhiyS\n3h6/Pkb1UzqBwDXx9UKT1HhzkIFWXAEAYEF9CWWR6L5DEwyUHHuH0Upg+w5MwoHQuBoexZ9++GuU\niAAXVY3XVJoLXmpQnj9rq/ANPIo/Y//cCzsA9w39A6D8DYyULGQRjLZxfQIb2s034NU5yEssF0hV\nVKcCf7M9MotwqIWEVC5wDb+URU+k/Fr/GgD8wxDCPwohdADwdwDg31748/8uAPw3HBf3q2EIuOXP\nLFLgSCqJSLAkbirDyPS/KovEOAWoH2lNTNzw0YdMOPgqHmXRV7Khadw8Mx8g+tGG9hp6fiZ4WSxm\nxOjg2A7nqXglWKnouxYK4Z4bKgC4lcN/Don2iZDRCkJR43VdA1r4D6HnVSSLuJVFYxsaA1l0/0a7\nxoCbT8KkciDdFjKLwEFgOnxWFBtaxhQQ1Vz9rLLIfnrT4A/XMF6jm7HKvYNz4stVpCC8JSu0rNC7\nVJBz472RbNNnjfa7ufvxHUVowb0d2HpCRICLCs1rKs0FtjzJNxSh/mDdvnBiYLPuOLQxSoIPAH4j\nMYDkOdp0WUHMxitCe5r7EcsFUlsgU4HWwULzK4twqLW1JQ9zJ+UOBOJXRQpZ9M8CwP/z8t//8fjX\nfoAQ4m8AwN8EgP/h5S+XQoi/FEL8r0KIfyf7Sn8BOFVB4fmtWyr0JJWELoaNUmpmEXQPcEHA7fbi\n8y/2qV1MBVroKCqJtRafVAxk0VdRFo02NOY2NNsOJKE5cWbR0m+twEb7wmcBCdYmI1CwHp+z10Bx\nqRQ8wg1En0ZA4/OuKQQrYRPfPMZNx8s1Kq2hDeZDcCUHXEbA/Ry0KaALOvkaQ0Ybol/JNjBgAQ61\noaVPAZ82tJnMomDBfXLT4A9A9VOiNanw7Yfw+C0IkkfBKj2t5RQAoAf9JQKupa2hAZ4JOyp85pRu\n77j5BtwbMdgRIgJ8f4WjcoOajZeKwRZ9jsP5hRVEG9qwn4mWo40h18H30AW9TyEN0QJbQvPBpn8k\ncPjvufMkd1QW4Wd2G8minEbbnx3cv9bfBoD/LoQPq/rfCCH8BQD8ewDwXwoh/oWpv1EI8e+PpNJf\n/tVf/RXzZX0NOF3BbYMNZQ5UlYQhBlyL/gE1lB8WWzmSBO1RZFGGSiJIQ/IXz0F4uj3gKCAxkEwM\nJgKlqwVD5sQuWCGL9AGZRUiwYpMcBe0D2+c+knONuIFIbPEJsUKWYJ8iNA01j98DwHNtQNTiBpKb\nLOr5lEUAw/eYfI0Z7SoDgbBiQ2O6H2k2tGEKmJNZ5GYsXuoE6yPmyfRd2nDmFhrwmoe8CEKzKFhl\noNv5HCgQzIOBPaDs40Mj2bYPWyYv33GDj3ZeAFpEwJVZxA9qNl4qyrcMvQsnhhn3DeN72MR8mu3K\nor2cANRsvCq0EMw5yMvq2z4RAfh77ZFZFG1oG++JnIKknx0pZNE/AYB//uW//3PjX5vC34Y3C1oI\n4Z+M//8fAcD/BB/zjF7/3H8dQviLEMJf/Pmf/3nCZf18CLqCckPA7RyoKono3U3cVE5JxuV4aO2Y\nw9FSkaWSkIbkL55DTpbEUTAF/ta8GzHXDi/04qyZRaoAvWhDsxCYlBypQFVQV9NfzkjKyrdA8RZu\nIG0iAZ3TCkJQ42GO1dQ1itRrTAS357yBG4jEzBJce1LyUeLfs/I9anBsSreq0IQ2NPoUMFq8ZhoW\nZaArYriBqg+XWOJQAt+hksuGJoMFR1yj7E6tUtxQroGeyYYmiWRRGT4WBQBgRECisghtqBRV84VF\ncDXVfvhM74dSiJMczi+s4C3gmstytGvhAiEbr+9aMG9RAkeiHNt0Q6IyPRV2VIIVO7ShxXtio9os\nJ8bkZ0fKr/X3AeBfFEL8TSFEAQMh9EOrmRDiXwKAPwGA/+Xlr/2JEMMbXwjx1wDgXweAf/D+914Y\n4M0dyj2URUSVhMaJWKJcXdkHtG8bO8yq6Q7KLMpRSQg1kEWp/uLZz8nIkjgKT2UR77QZpxE3hurj\nPRCkHqw9M9DgolXls6Buw3fV1hnKopGIec+IamUJytHsU2SSI9EegISWuk1cY2IeSCrwZS+ZDmyt\nKEElkkVIvBomojp4D4WwcUq5FXej4NGlre1PZVH6xk5GZdEcWeQOJ9NR9eETrUllaD4Es28BRY23\nBOVpxRUAAA40yC9gQ9Nv9fVb8MynWj+weeegEt0Pv/UQEZBIFo0k6ZV3wQe2ptoXPDP0zmmVv/AG\nHDJ12IbGU5MO3g723B1AycZ7fJ9Whx8FpTU0wYBgVxaNA6gdyCJUK3V22z2R02j7s2P11wohWAD4\nDwDgvweA/xMA/tsQwv8hhPjPhBD/1ssf/dsA8HdCCK+/0t8CgL8UQvzvAPA/AsB//tqiduEN5g6F\ncMnS+FRQVRJDxa5KVhYp10AnPkrG9ago6Q9SFuWoJIIyIEUA57ZtpnOyJI5CJNM2/ju/A8OAUcp6\nOqwoOcwBmUVbCNZ+JJiQcIp/Xe5PciyRbh+upZkmtDpRgna80yvcnHFVn3ayBJV6jb4HHwStBXLB\nhobrEZ+ySEFNzizKsKHN5DSoE6yPIjZkrb9rn+HxTAoEsWyBTYWCDLLoiwRcD+1zXJlFy+TlKzAv\nTrypHykRAX4sKJCf/P74mcHVVPuKBu3exTmUHBdW8G5Dkzw16UN78U6FCxJVjetnqW5m7TkSjUhX\nVKci2tDkjgHXW3OsHGbeXoQ/ImmnEUL4ewDw997+2n/y9t//04m/738GgH95w/X9UsBFon78gTTd\nX0OOSsKCTq7YVa6G7i1fwIwHQtvyKgZSkaOSwABZ23ebajRlsIdPzlMhpIQ+qEiucQHJIpSyng6q\nACUCOGt/ONQH70EL/+nKIj0qbvqMQMG+Gadt70SMLEEnTsTB9eCCAKXSN06oxksB5liZ8kdCKzU8\nNhU+BhTykUXJhJYbJpWUFXxJbWL7bnhRM7ah1cltaPQpoBzJxrlAYRks+E+2eL4Ds+xSAq7rxx/A\nAN/Ed80Cm4rhe6Td305okF/Ahlb4Bv6g/jrLZyFhnBIyW3//p3CHHw9slIgAXHsobYgXlsHVVPuK\npv4D/A5+tEVfOClmbWgbM4vCfk4AVLCmkEXNAwd+51AWAQA0UIJkJouebWg72tA23hMxxuRawyN2\niH+/kAvcjLbM1q0clYQVKtmGZlwN/VtTzG0kCdxRyqIMlYSI/uJtlqyvRBYBAFhQycRgKkT/gCYY\nmrriMxHrlH88AMTff48q1QWY8ZlBUoUC2wxrRvFGzlmCfQJ8T27xi2o8u75W9EgWVR/VZr2qwHje\nDcnThsZDsFhZgkkktITvyIGZQhooZip2uw7Dunnux8oo6F1ImsjmTAHX8oBUoCtiuIHX6BMyi57h\n8Uw2NIIabwk5uWpOfA0bWhEatgppQfqtcbr/8cBGiQgIMRz1UhaxgUmN9wp8rt8LFy6cFPhMRhsa\nTxua9PSigOTPJmTjdZEsOg95uUdEwLMNjV9ZhJ+5uQ0to9H2Z8dFFp0IOOHgbBDLVUlYSJerG9+C\nfVcWIVnUHaMsQpWEJKgkcHJvN9oAc7IkjoQFfmWRsDXUgqnNZgc8671/fIljc4X45OrjLQSra6dV\nO06VyWSRcD3duz8eVlPaPnw7/HsV1cfNuVMlGM9rvY0HNqaAQgrpJlw/kO0EhIWK3ajQ4cosKoZr\nS1EX4caOMgVEJcfc4Vwd0DT4Dpz4ptSps098lWYpUhhItxxl0fltaJyV5pKQG4KFHD8c2AgRATEc\n9Qq4ZkNQBUtT7SuwSOJMSo4LC8AcsTdl0WYb2o7tnM/3TILducH78Txq/F7cQDGrvvfMLOJSFmEE\nC6ns5SfHRRadCGghwbBaDuSqJChk0c3XP0wByzHYOGRYaliQoZJ4ZhtsUxblZEkcCSs0COZps+wf\n0JKMOJ8MOf9bWwxC/eTMiS0Eqx//nvdAcafu6SSHp5McFNv3kyEAACAASURBVDUeNuSV94/KIqfS\n80BSEa0gTNN9pyswqdcYLHntiUT1xPeI96hgzCwCgKTcIpuhLFKRLJrJLMqwT3EDswh8Qi4fHiol\n1yZepqvxlqAylEX+iyiLqtBAYGqfQ/IyxXLYzRQFvEYErCI26VzKIi5wNdW+Yi5D78JJoW8AICJZ\nhO+krcTAnk4AHDimnCnwfjQnim7oZMWeJ2k9lmbsoCwaP3N7ZhE6Uy6yCHGRRScCMsp9RhvSHHJV\nEg5UMoFQhBbcmw2t+vYbADwPsZ+NHJVEVJsk1inPQYbjJ+cUDPlUvG1oytXQyhMri8bD4pQNDUNv\nuQ7nqdhCsPrx76neiBivy+SsDfD5JEfKZggb8t6tcs7c2ckifNlzNRJ5XSXbUITLIarRFjmhdOuH\nfy6Xpa4y6WTRM+A6fauAaq45ZZEODsLBZPrzGhMqjcf3seayByDBmqDGWwK15RRgIIu4K8i5MVSa\nd2wV0vjcpP3Wwxqlbx/XUUpEAIaj6qt2mQ+jGm9rU+0r+pEYfFfjXjgphBisaOOZwmgeZZH0+5FF\nFKL6mel4HvLSqgpMaoxBInpL31OkAj+zsxvXibFUxBTnPcN8Ni6y6ETACQeG1XIgVyVhhQGZqCwq\noYHwpiy6lR8lo5+NLJWE5rGh6RMEuFLggF9ZpFwNvTjvZnnJhvYkiz53qhDJogyCNfTTyqJgvsEt\npN3PcoMaL+WZwWu8vzXkBV1BmXiNqQgWD2xcZNGd9D1SN5+xnWuCQHDMSje0oT2SyCKcAlJsaMO/\nS5ghoDX0n940+A5sqkrJscH3MdfElysbT4OjK4ukAXVyG1rbPECKAIGpfS6qyOz682vbgQwyb1ZZ\nSkRAzLu4yCI+qIKlqfYVWL5ypsP5hRWY6qUNDcmircqi/Wxoce1JsKFhlMD7MO1IWEKMQSp6v2cb\nGiqLttvQyI22PzkusuhEKGLALZ+yKFcl4US6sqgKLXjztrlSCh7hBqI7yoZGV0lEf/FGZVFOlsSR\nsEKBYJ42a1dDJ5mqpnfA03I4lRFzjA0Nm+NCDsHaPcAFAbfbx+88mDvcRQverRMDg3c/z4aWpMbr\nHtAF9UNDYTB3qKBlnRp75gNbMFXyNYpg6VW8C3XzuB4JJktdicqifv2Zf7ahpW/s9JoNDdzhykvM\nIkhRm+D7mO1QyWh3zlMW8dp5uFF/x0Bxnu/7+Vuvf9843X8/sJEiAuLa83X2AKfHS1MtF2KG3psa\n98KJYe5PGxoSAwzKor1iIwRBWeRPSBY5XUHBrPq2zoOWAoTYI+AaM4s27iV9Ty4p+dlxkUUnAsph\nHWPODy5SZBua0EkEgu07KIR91lq+oBE3EMy1i6kQGWSRXDiwUZCTJXEkHEFFlgrjW7DqxGQRhp5O\nTJvxr8lPJou2EKyif0ANJQj5cUkX43PZJBxyRIYc+/k9rm/iRf+AZkptZu4gRYCWUVEZc0OYCBZh\nvoEWHroE65D0PVgiWSyj0m3qfsR/Fx6V1L0YfuO6S29DM5JuQwszDYs5LV7cQMXZnPrpFdwT36gi\n2ziU0MFFG2gqgtQgmVuluNE8fg8AfJXmuAbM3Y+vwFy14q2xkRIRgPfUZWHgA5ca7xX4XL9n6F04\nMYpvAOP+KAZcb1SR7NnOScnGw8iO9yiBI+F1layoToX1YRcLGsBTWbRVbSa8pZe9/OS4yKITAS0k\nnDk/0R5CVhYZUAkEQh2rZn/c2LVwA3kQWSR9R1ZJyLG9ZLOy6ASTcwqGfCpesqjwNVh13s1yJAYX\nDufigDabNpNgFbaeJGLE2PTSJNgnpO/BAe2+xclZig1N2hoa+PGewLUj5RpTEa0gXAe2eI3rRN4m\n0m1S6cZri3za0NZJg5hZpAkB16OiIsxlFoFja3bLBTZVpahNnuHxPJt4inVzCQYyAq6lOX1mUQwU\nZ1JyrWVovQJz1W5vNjRSRADmXVzhqHwgZOOlAu3eZ1JyXFiBqQD6YX9kuJRFOxYuPNeehLV+vB/L\nb+chi4K+Q8WsLOqsJymVKRBCgJZie0NeRqPtz46LLDoRkFH2rMqiPJWET6zYbaNkfIIskiWoA5VF\n1APbEoFAQc4m/kgMdcq8B4ibb35oyDsTxIKKDA9xkkmVQkGTSbAq+4B2iiwiEDFDKwiRYCWo8aSt\noZu4RlkgocVnv+Vus5Dxe/z9+p8NFnymnW+avBwOSFxKt6cNLaUNbbShEZRFaP3zM0oOA/bwzKLY\nVJWgNsH3ccmcWbRlKBG8ByMceQgUpAF9erJobKliap9DYjBFWYTlAtXbgY0UEeB7sEH+oPK8kA8u\ngvUVSAy+Z+hdODFebWiSJ+Ba76gsembjra+5of8OLggozqRINHcooWONCLDe76YsAhjsiZszizLy\nO392XG+zEwGVRVmZJTPIVUk4oUAmZBu0Y92jnMgX6GUJirl2MRUyWLJKQq5kbaRCgf30vJstGGxo\nzGQRtOCZqo/3gBwPtFOTSjzkygPC7drMZ0a5Bjrx4yZDjcqiPsWGllEhS1HjzTXkybFlqq0Z880c\nb8C1HL/HLuF7HEi3vLXHTqw9uB5xNbuhsiitDY1ecxtzoiYO58F70MIfrizSK1a5V+D7mGviK8bf\n0U6oyFIR7xMyWaRBn9yG1jfYSMZkQzPpNrQwqhbeicEYEZCg+s5pYr2wDK6m2g/o68kMvQsnRvEt\nkkWF5rEcyR2Hu5RsPNHXk1ECRyKYij0iwLpA2k9QYZTcrizKaQb+yXGeu/IC3G4VuCCiHJEDuSoJ\nn0ggYDuImpCMd7Jkr11MhcwI65UEufoSdHAQ5NeRoHuZpiKjoAztDw15Z4JU81k7fiSQ5AE2tD5T\njadcDd0EEUMJZlU+g+QgqCS0q6GfCD1HBUGXkAeSjHHt0kzqMCTdUtqQlO/Jk0qxYIty8X7ktqEl\nKIs8PYxSLeQBYebIZzcNvoNCFkH3ABsk28SXQ8Haj9lZgki6BWlAwbkDrvtxAKWZlFyU31r0D6hD\nAVJ93DvEiIAU1fcVjsoOSjZe8mfOZehdOC9MFc9HMcx4o+pF7WhDo2TjSXu++xFLBrB0gAOd8ySl\nMhUcZFFOo+3PjossOhGElNDADQSjsihXJeGlTqrY7caNHR6mXmFVBeYgZVGeSoKnDe2r2dC8UKwN\nOcF7uIt2kAyfFE8V2Y+/tY3Wzc8/0OYSrMbV0E8EilOURTL04In3bfweE7IkjGuglz9uhmIeSErT\nUCpcB11QbFO6Z2ZJorKI+j0uEAgYjslli6TY0HoXyPkCJm6Qfxw2IMkB6uiAa7ShJQazw43tXloi\nqlPRZzY2BmnAnNyG5sZnrCh5yKJ4P6aE8NsamgmFJiUiQHgL9jposIKSjZcKaR+TGXoXTgzz7Yc2\ntN5uUxYNhQs7ZRYRsvGkrSejBI4E2u+TWiATsbeySEsBdnPAdU9vtP3JcZFFJ0MtStYGsVyVxFCx\nm9CGNi4iZmJj51QJBXOSfipyVBLYXBA22NAwS0J8NRsa4wGiGe1EYaIh7yxYkgeH2D71+b+hzSWL\nfAt2QlmErT424ZCT0wpCUeOZ0Ew25CERg7XVHBCO13OO61vKNQ7fY54NbSr7Ce/HaO/aiJuWIEWq\nDc2TmtAA4GnrmCBibCbJwY3YVDVBaL1jLjw+F5JBJRFDz6lqsy9gQ8NGMlTzbAWu9ZBQ4iD7B7Tw\n429NiQgQV94FO7iaaj98pm0mM/QunBimetrQYhvaxsyiXW1o6dl4ytbQiXPtmbFkoGXMk9w7s2hQ\nFm20JgZLbrT92XGRRSdDK26gLKMNLVMlkSpXx8OTmZCMO3WH21E2tAyVBEpGU2ou54BZEkcHuFIw\nNOTwbcLq70MIsJjIsToLYqXplA0NlRxMh3MKnK6gyHhmbr6eDBR/BrOukxwyOLIcm5LzNYSe/6g2\nexJajMoi5um+icqiNLKIuvl8tqZMZRYNazgXeSmEgMqoNBuaC2A0bZugRtWQmNggW+Zmt1xEtUkC\ngTAXHp8LihpvDhb/XqoNTRVDG92J4bGRjKl9DsnLFBuaco/JXDVKRIBwPbiLLGIFV1PtK+Yy9C6c\nGMX9aUMbCYetKpI924spFljtaugmlNdH4hkRwLc362yIv90eMIqhDS2jIOlnx0UWnQyd4G0Qy1VJ\npBIIdtzYFROZRV6XcINjyKIslQRBMjqH3CyJIxESVWSpQMnqlDXxLMDp/pSXHOvLj1AW5RKst9CA\nm1DtoJXDJRAxOtCzdpZIt6lr9GpC/TSuHY5TWcScG1JEG0pCZhFkrD2xNWXKhoZWYr6NZFXoRBva\nkFlEgZASuqAmiZgnWXTs+iikBBtkkg2Ne+IrCc/MHJAsEtQ1ShnQwoN35yWMnvX1XDa0+cD1dwxF\nAROtkoSIABHsVbvMDK6m2lcY95jM0LtwYphvAK4F8O5pQ9tIDJgdbWhPsigh09E3k1ECRwJLBlKG\nZKkYlEU72tCU3JxjJUNPbrT92XGRRSdDJ0tQjGqcp0qCqCwSGnRCjo1v5qeAwXyD8iAbmgyOfGDD\nHIstNrTcLIkjEaRmzSzqxhBgwdRmswf0giIGX+yKqX2KgoFgpT8zN5gOFI/2iYSJeJYiRqer8W7Q\ngp/IsSqRiGEM9ue2guA1okVmCXnKonkC4WlD41tT7oWCulsniHsXsiTjFvSkssidaH20oCav8R3K\nN5Ph8bngaN1EhYUkfo84xOgZD93cCN0wLLt/+43l86RSgyoocbo/d2BLjQi4wlH5wdVU+wrt2skM\nvQsnBkYb9I9oj95qOdJgAXayoWmCDa3w0zb9I4ElAylZjamwLpAHUBRoKTbfE+pSFv2Aiyw6GXrm\nUOinSoJqQ9NDBfwK8IA3NQUM5g6V6A6ZYurQky01MbMopSFnBu4kk3MKvDSgGW1oXaw+5pkM7wG1\nkLVzZGbRQLDSyeIqtODNj0quMpJFCfYpcBCoyiL8HhOemWqmIe82VpKnXGMqhLesAYVo50u5Rh0s\neGIbIt5rU2vPk7xkVBYZlaQsst6TA64BAKzQICaURS7aoo9fH3vQsTVvCUN4PB9ZtLT2pCI7s2i0\nCNoNFrjd0X+HNhhQxFKOJVjQSZlFxrfQzxCDqREBQzjqddDgBIca7x2Fr093OL+wgjFwGbpHVKfY\njcoiDW632AiMtkjJxit8A47xPcMBPNe5lBbIRHRu38yiQjO0oWXkTv7suMiik2EIuOWb+uWqJIZs\ng/UFDg9P1bcflUVinAI0nC1HiciZ7usiXTI6h7gJPziTg4KBGGRUFo2/tz6xsmgpeNDHZ+bzX9zB\nVGSC1fYdFMI+p24vwBaf0K8T0DkEa1TjrRw++64FI9xzs/fhGjE8lo8kl75nDSi8I6GVYEMZMhBy\nM4smyEuHyiK+NaUq0jKL+syNnQU1ScQ87VPHT/TnCK13GN+yHioparw5OPweqe+Z8c9ztkpxQ/Y1\nNIL3/dnPKN3eUfh60s4LMEYEuHUiX2Y0sV5YBirjOTOLitDO/tYXTgpUJvcPUHK7Dc07B1r43fbr\nhmBDm4sSOBI4JOOMCLA7k0UcbWgq9ORG258dF1l0Mjhdwc0fn1kUpAadkmPTP8AHAbfyx0OgGDNr\n6u98SfqpyFFJaAZlUXaWxIEI0rA25NhRsqqZMif2gF5QxDxtP59P+IlxM0QhWGu0/U0QMVIpqEMB\nIlVZRJywparxHuMaMBV6rk0BXdBJ4bGpGAIK+ZRFprhBH1TSNebI2rFid1pZNN6PVBXJAiqjEtvQ\n8iTjFmaURbGd8/j10YFKIotuvmad+OK7OEWNNwdshaJ+j6h47U+sLBK2Zq80tyL1t24miwIAxoiA\nBNW39PTMsgvL4GiqfcctNOBnfusLJ8ULWSSEGMKMfT4xgHbcvTJGpVJDNl7C2lPORAkciVuMCODM\nLApZauVUaMWhLKKfH392XGTRyeBUBbcMG8occENKVklIk9SaIvoaGihATNQr48GwfRyjLCLb0KJk\n9POzJI5ESPytU4GSVa6A0j2gl0JP/XE2tByCtV0gYgAAGnFLytrQYAGoBGti0xBWr4qJzCIAgFrc\nQPaMNrQdpvu1SAu4NcFCIE4qUek2+T0iWVTwqXHuRaINLVdZJDSICWXRM6z7+I2YBTN5je/gnvjG\nZ2bDwRcVaFR7uYgV5Ocli5R9sFea20TL4Q3aWQIhNSJAhh7cFyq4+ArgUOO9owzNZIbehRMD9zjj\n0MYoucmG9nQC7Pc+Ss3GK2eiBI7ErUrPvExFbg5iKgolwW4gEAHyzo8/Oy6y6GQIusoKuJ39vHFT\nSFVJBGXAJKhNhH1ALaaJKDXakDrGcLRUaLBklQSlYncOPiqLvo4NDVJVZIlAsqg4MVmExOCUPDg+\nM8Xn29BQHdTW6cRJOz5fckJZBADQQgkygSzKITn0Qqvch2tYachrIY3QSsUQMsv7sm8Sv0edYUOL\nrSmTNrS8NXwJVZGuLMppLnGgQU4qi8bMolPY0BLVJtBCYDxUPlUSDDY0qrJo/GfHoPETQrkGWuaW\nKjtzP76jnMlVA0iPCFDBXU06zKBk46WihO50So4LK3gJuAbYHmZsY+HCfvv1PiEvLUYJzOzhjgKW\nDPCSRXu3oYnNyqKcRtufHRdZdDJ48w0qzgaxXJWEHCp2w0oFoeof0M5MAfVYid0dkFmUo5KgVOzO\n4VkN/XXIoqB4bWgx9HyiIe8sMJEsmvj3Hn9/w9g+lQokU7qaoCwalXuqnCFiZFow60By7KPG60Zl\nkZwji0SaxSP5ukLP/rLvxC2RLLIAxO/xeT9OKYvs+Gd4A65TM4t0xhTQCTWp2nkqL49fH51IIxCq\n0ILXfJt4DrtzzFXLVBbZnk+9zA3j6tmQ6Vy4BGLQOwd30UKYUWimRgRc4aj8SM3GS0XXNrMZehdO\njBcbGsCgLNpCDPTdsA7uWUgzp7J9RbTpT+ROHgmlNbTBADDmSVrnQU84UbigpdzekJeRefuz4yKL\nzgZTQSEsW1tJzLugqiRGWeZatoF0DXSzyqJh09UTVBJc0MHRrSBagw8iyV88B3dgk1Y2VAGFcKvE\nYCow9Lw8M1mElp4pZZHHzKLPVz/kEKxILM2pdrpEIkaDI8uxU9V4/fjvY2YIrSEPhO8AK4NjzSwC\nAGgTMkuctaBEIE8qI+k2tfb4HlwQrO1QyTY0n6ksEgbEhFrxyKbBdzhY38TvMfFNtW4uASvEqQ15\nOMRwjNkv3NC+YW2fAxiIwbXfum1GQn1GRZYaEaCCvWxozOBoqn3FM+fvXLafCyvA36t/taHlEwM4\nvNiTLErJxutOfD82omCNCNjdhqbF5oY8ldFo+7PjIotOBrSh1Fw5P+NiSFVJ4KYSlTJz0K6GbmYK\nWFQDWWDbzw+4NmDJKgmAUTKaUHM5B8ySkF/MhgYAYJkOEChZrU5MFqmRFJn0kkclx+f/hjkEqx2b\nKkw5bfvrVQV6hYhx1oLMIDmi2mXlINa3y9fYyRI0o7JoCJnl3QD2slq9RgzMZCXdXDdkrjCiKnSS\nDS03s8gJDWpig4yKGHkAEfsOJzTIFfvtUnh8Lp5qvPyBkM/MxsNAbHfigOuhQpp3wu7ArP/W338P\nAPN23tSIABX6KxyVGRwE6yvWMvQunBSovBn3mFoJ6DcMOdGOu2dsREo2XrOivD4SDZSsEQG729Dk\n9oDrnEbbnx0XWXQyxMwSpgaxbJUEtqZ0y5tK7ZpZyThm1ljG2sVU5KgkAMYwOv/5WRKHIhKDTAeI\n/gFtMKxKCG4IKaELKj4fH+A66IOaDG3fGzkEaySLZjKihqyNZbII5dj0Fq9Rjbdy8MVr1DPKotTw\n2OTrCj145pd9L29gVki32IZIzUtbsMAKb4cqekZURkHn/OoErnMhSzLuhQYZpjKLzqMs8gk2tBge\nz3ioXLQcJuKpLKIdcmTMLGK0ujNjjwppJ9T6bz2qH8XMgS01IkCF66DBjdRsvFS0j4EYnFPjXjgp\nzI/Kom2ZRZ9hQ0tQFo37I8x5PRM6cWONCNi/DW1bjhUAgIGevBf+2XGRRSeDxAYxrlDoTJXEM9tg\neXNU+BrszMauGFUEruULR0tBrkoCYFzYGbIkOGuu9wZ3nbLsH9CI8//7W9CTv/Ueh/NUoE3LNukv\nZzva/ooZIsaqCoo1siiT5ABIU+PFhrz7NKHlZAlFQnhsKlTgDyi0qgKzYkOJig3i2iOVAhfENFnk\neuiZ/13uxXB/r1nRbOYUcFDt/PjZeNijkhx7wMl1tUkMj2c8VBq0hCe0c80hN/QclUWcQcHcKEI7\nW1+fCyf0pC3yFWgFUXMqssSIAAVXkw43OJpqX9GNyt0zKjkuLOAt4NqobZYjtOPumTGako2HUQL6\ndr5SmFZWoNiVRXu3oW1TFuXEmPzsuMiikwFDatnq5jNVEqnZBkVoZskiPBhihs1nIVclAQDQgwHY\n0AyGE98z2CxSEYnBjiczRtoaGvj8JjEqhuDB6YwY7sN5Km6jssi16c+/b5CImbb9OV1BsRPJAYBq\nvJXw2EgW/bZwjYzKooyw7jU4VcFtlXTDgPtM0m3mfuS2oZVIFq1Y0YbMojxl0ZQNLWRm7ewBL9Q6\nWYQEAuPEN1WNtwS0oSliqxy20LkNTWx7owoNa/scwJChpdYyi7CxccYqmxoRcIWj8oOjqfYVaxl6\nF04KUwGAeNrQNoYZ475H7qh0TcnGw9iBOeX1kehlyar63pss4lAW5TTa/uy4yKKTIacNaQnZKolI\nIKwpi1rwM1PA6ttweA3tJ5NFG1QSDjYqizKzJA7FeK1coafS1tAyt9nsAQtqcrovXAeO+XCeihyC\n1a8EintdQblCFuFznvPMDGq85cMnXuNtxirn9B1ujC2Qgw2N9xn0ej3gNteGBrCsdHPMSre7SVMW\nddZnSca9nM4Dym3x2gNeGFBrapOdJr4W1KZsPFRYKGIWIdr//Ekzi4L3UMF8fX0uhvtxJYR/xSqL\n4bNrEQE6My/xwjw4mmpf0TdIFp1PyXFhAUIMAfQvyqIt+TRox90zY9TNWLI//Jl2OUrgSPSqBL0y\nJKPAugBanjuzyGQ02v7suMiikwFfXmw5P77PIotkJBCWD3AlNLNkUTkufIGxdjEFT5VEBlmUWKc8\nh9wsiSMhEy2HqdCunm3IOxMsTCuLjrShlZEsSrdu4p8tZyxeQVdQrhAxdkMriAW9rsbrhjUACeSc\na6RAB8ceMuvNfTXgNgZm5pJuE/ej9D24nWxoj1VlkQeTmVk0RcSgsohqn9oDXk5f4yti1hbzJj5F\njbcEVFhQSTc8FJ3Vhta29WAhZ640n7sfX2GRQJixJmHw9VpEgAZ35V0wg6Op9hV2jEY4o5LjwgpM\nFckivdFyhOvgnsqiIRtvZe0ZleSYWXkmuIQYg1SEEMbMov2oh8GauKUhD2NMLrLoFRdZdDI8M0t4\nyCLhOrAZrUAY0LymNinD/BRQKgV1KED0n5tZ9FRJ0A8kDtRqtsESYpbECQJcU4FNEFwB10uh52fC\nnA1tUHIcs9nHBjkKWQT9A3wQcCvnsjbuUEIHYWFTtaVCdk4R84rQfwcb5Gx2WjB3qKBZvEYKFPBb\nQYKuVgNukXDNaVexoKeVbr4Hy0wWlcmZRXlhlEEaUDCxjvozBVyvK4ueTYO8h8pe6FU13hLwPRPz\njxIRlUVMKlJuNBgozlwh7WcytF6B0/1iRqGZGhEw2NCOv79/NmxW473AjYTfXIbehROjuEcbmtlo\nOXLRCbC3smj5vvUjeXmrzkdeOlWuxhikAn+rYseA6yH0PH8f+Wy0vdbwV1xk0ckQG8SYcn5yVRKY\nbbBkQ3PWQil6CAsbu0bcWGsXU7BJJSHMRmURBrienyxB4PfEZU0wvoZenf/f38H0xGePw3kqpFLQ\nBEMiWEVfQwPFbC5ZKL6BFAHaZv4zI8GaofhIUeOJvoYabrPXKMwdlAjQMeVmabD8AYXFHYxw0C+s\niX5UYubYUC1Mf48y8JOX0Ya2oizqMvMFvJwmYsK4PmoiybEHQoqyCMPjmSe+SWq8JThUaNHuM2xF\nDSuK4aPQjFkyc/X1ufDSgE60ghQz1qQYEbCqLLIQroMGO3rQm5pqX+FHsqE4oe3nwgo+2NC2EQO4\n593TCZCiYF2LEjgSnBEBqALbU1k0qM0ChJBHIvYbIhl+Zlxk0cmAIbWeS1mUqZKQY+35kly9fuAU\ncH5j10IJ8pOVRVtUEk6sh9Etf0BelsSRQAmuZZo2F56/+ngPOKEmf2sZ+G0/FNSiJBGswj6gXrD9\n4cGrXsjaQAVhDsmRosaT9gHNkjVxvMZmJQ8kFXuEzGJ9+iPhe8xbe6atScJb9vuxSrWhuZDVhhaE\nBj2l5BjXR3OC9dFLPa1+ev0zGB7PPPHdmo2HCgtyG5rBCvJzKotQtcPdUpVCDPqVxsYYEVDPk0XB\neyiEA3Epi9ixtan2Fc/D+XThwoUT44Us0nKb5ehpQ9uRLBLrrZsh3o/nIy+DuUPFrCzaM7PIjJ9t\nfd59EWNMrjX8Ay6y6GTAAFjPpSwKNkslgbLMJbVJM27sxEJzSStLUO6TbWiYG5IxLUhpyFlCcOfJ\n5EiFGFVknqkhpwjtFyGLzCTJsUegMAVUglX1D2gTyKLm8fvZP7NFjm2FWSVYpa2hFfPNTXg4RAJ6\nK4bcEN6XfQy4XbhGtKHltCHOEdUy8JNF91QbmvdZU8Cgpm1oweP6eHwbWpAG9EETXzuz9qQCv0dD\n/B7VyTOL9goUD0KDguV7PYxr7lyuGobPLkUE4MDlUhbxY7Ma7wV4OJ/7rS+cGMW3FxvaRmWR3d8W\nnaIsgr5ejhI4EEFXUELLEhFgx9+q0DtmFo2fnUsiRmfKCUo4zoSLLDoZYoMYJbNkAdJ3WQeNaENb\nkKunTAE7cQPl+JL0UxAbDrKm++tTgCU8yaLjbRapiGHmTAHXt9CAY26z2QNupt5b+h7cgVOFVt5A\nEapKpWugSyBiunr+kLOlFSTFhqbscug5ElrdwtSeBypMjwAAIABJREFUAg2O/cCGNpR24Rp9VGjl\n5KVNW2CV78GzK4uGz6u7+bUuhAC9C1k2tCAN6CnVTlQWHb8Rm73G1z+D4fHMh0oHapPdGVwHNkiQ\nikZqxwryk2YWYSOZYlYWpdjQ4m89Y00qME9yYZAXc/92zED5VZGSjZeMvl7M0LtwYrwEXJvRcpSL\nmDG64/BiyMZbs+k/Fm36h6IYIgLadnucyFNZtKMNbVQWdZkk4pZG258ZJ7wzf23cyvvQ+sBk3cpV\nSSDTvrSp7OpBqSAXMot6VYEmHHw5sEUl4WcIhPR/OL58vs5CIxPDzFNRhhbCgtrsLPAzlaZ7ZMRQ\n0ImSRBZpV0O3ECgeszZSSI6MCVuKGk+7ejH0POUaUxG8ByP4lUWRdFtQFqE6L+d7dDPfowyWnywy\n6zY03ISbDMl4kHpateN66IM6x6ZY6kGBtgQMj7/xkt9b7c7C5bWcxgn6hnDtPYEWL8Ns+xuUbsu/\ntei+QxMMKD39rKVEBPTxoHG1oXFja1PtK059OL+wjFcbmhKblEWYoSd3JA0HC+zK2tM/oFkY+B2J\np6J6+94Mf6uc0oxU4HDLZt4XODi9yKKPuFbKk0FIOYTVMtXNy2CzVBK4ePqFTSUqFZbqR60swfjP\nDdOMZFGOSkKuNxes/MMBgG4POBLKoA1t+0YseA8VfA2yyM005MhgwR9YfUwlWM0KEYPP5zJZtOGZ\nSVDjGd8shp7jNfYMWW19nO7z/obYiNUnkG45gZlO6ElrUu4avoQUGxrKuLPCKKWZJGJyCxf2QIoN\nba9Dpd2oYAVvoc8gtHGtP2tmkeuwfY45u0PoVRWZsPXigS0lIsBFsuhSrHBja1PtK6StlzP0LpwX\nxTeA8XxklGTJLFJ7ZhYlZOMpWy9GCRyJmHnJEBGAA6hix4DrSBZlKs5ijMllQ/uAiyw6IYaAWy4b\nWp+lksDF0/Xzm8p+bAXRCxs7qyoo/OcqizBnKU8lsV6nvISYJVF8nYUGbWieoSGnbR4gRRikwifH\nnIpMBXdowDWVYDW+AbuQERWDWduFQ86GCVuKGm8gi+YJRLzGJSImFbG+nvnAFq9x4XuMbYiZpJua\nUJuoHZRFNy1BiOU2NJRxZwVcKwNmaoPse+gPfLZeEdS6DU3YejE8PhdebLOh5TY2FqMNDU5KFtkY\nKM6cWaQKMKsh/DU0MP9bp0QE2Kt2eTekZOOlYi1D78KJYSoAJJU3K4twv77fvZAylFDuxGTR7Wsp\ni/CzO5t3X2xptP2ZcZFFJ0QrbqCYbGi5KgkVW1PmlUW2HX3DC8oipyu4+c/NLNqikkhpTVnEmCUh\n5Dmm5ynA35oj4DqGni9YE88CP6MiU4E/I4YCKsFahGWyqBgtHW6h8jnY/Albihqv8A34BWWRGavJ\nXcuwIelQWcT7skf101LALa6XOWvPcD9OkZc7NLsJAZVRi2SRjWRRprJI+B9CMYXrDrV4vkJIA4Vw\ni8Gdqn8s5oHlYlA1brCh+T7LXq4T3utHAhvJuAPFw4zS7RXS1tAuKDRTIgLshrzEC8vgtKEp+1jM\n0LtwYnxoQ9sWcI123D0DrlOy8ZRroJfnJC/VqCzqF/aPqYhk0Y72Txxu5SuLrsyiKVxk0QnRiRIk\nUyh0rkoiJbMID59LU0CvK7jB59rQYv5KrkpiZWFfQm6WxJHgtCY0o1QVpatnxpyKbCBYj3tROF1C\nEdKfmcK34BcCxYtqqAd27fwhx7t8RUyKGm8t9DwSWgvXmAq7k+ccK7XdorIovw3Ri2miWsE+9+O9\nUPBYsqF5tKHRp4Co6urf2jRPZUPDYH83f+9K1+wy8fXCgNySWeQtWKDfExoPRUwKDW5gI1nBXSGt\n1vOptKuhXyAGUyIC3GVh2A1bm2pfoV2zaN2+cGKYO4BtALzfbEPDPa/aMzYiIRtviBI4pxpflwNx\nz5Enib9VoU+cWRRV9uck747CRRadEJ0s2UKhc1USamzzWqrYxSng0sYu6ApKwsGXA1usIEFus6Hl\nZkkcCSQGOZRFWCu+1JB3FoQZL/keSg4KvL5DGdLJ4hKaRbIISY6lrA2/YdOUEuBYQgtezxOIqCRY\nImJSgUHt3Da0AjNLdrKheWkmM7R0sBB2ULqVK8qifouyaMyL6ruP9/FAcpxkfRzvD9vPr3tDMPsO\nyiKpVxtyljDY0Oikm5ASuqBOa0NDi1fFThYVIEUAZ+ff7UNRwPKBbS0i4ApH3Q9bm2pfsZahd+HE\nwEFk/xhsaFsq3cd1sDjYhjZECZzzfsSyActAFn2Gsgg/O7cNbUuj7c+Miyw6IXpZgmEii3JVElGu\nvkAg+HFjt6QsCsU3uIsWvFtpnWHEJpVEwsK+hNwsiSOhNJ+yqBstOvrGvNnfAX6GGNTBghfHbfap\nBGsVWvALgeLlePAKC2RR6PNb/AY13vK9U4YGwkKOFTYNLV1jKmy3T25IeR8UWkukG0TSLe97nKr3\nVjsp3e7FGlk0tqHl5AuM3719y7wTvj80D+wV2FjVdfPP2l4T3zCjIkuF3PA9DhXk57ShQfeALij+\nDBE5TV6+Yi37DQCgFeViRIDd0Cp5YRmbm2pfYHy9mKF34cQwT7JoaEPboizCfc+ObWgJ2XhrUQJH\nArMaHcPerHf5auVURBta5n3h0Up8reEfcJFFJ4RVFRimnB+VOZWOHt6FlzOSRdW33+Y/aFzY24Yn\ngykFz4YD+sM+qE3yia3cLIkjgQdbDrIIA4rVV1AWCQ16QslxtLIIzB3uol3MUkE4a+Em+ucGagJV\nJGLmCeiwoRVkLeer71oohFu5RiS0tq8TbqeAQgy4hYXvEdcena3QmrKhuV3ux6rQyza0DVNAEcmi\nj0SMDOchi2Ak4NyCsmhQIPBv4gfL4Zb3jAWfqdCyQp3WhibtY5eWKrwf322RrygSpvuduC1GBKCy\n8GpD48fmptoXFL5dzNC7cGK8kkVSgvMBQsgkjMZ1UO9IDKRk4918A25BeX0kUAywlNWYCus3qJUT\noWMb2jZl0Z45Vl8RF1l0QjhVQkGwoSxB5yqLiuFFukggjBO2Wzm/yMXaxe+/J19DLqJKImc6mRBG\nt4TcLIkjgQfbJRVZKvCFgtLVM2OY+EwoOXY6nKcijOHgTb3+csY6U7GQEaW0hjYYgH4pmHkkOTKe\nGS+LxYNvHUPPF9rQittgj2EI9o82NOaXvTEF2CAhLH2PFieVOd+jmSSqDfSR2OBEZSQ0ScqiHLII\nLV4fySLh7WnIdBEbPxcIhNCA2+FQOfzW+eS8DPkKVgsaBJNCgxuif0ADO1hC1DoxWIR2MVcNYD0i\nwMWp9EUWcWOrGu8Vaxl6F04M3Ed0Dyj08G7KVhe5HrqgQOxoi0rJxrtBC0Gfk7x8xhhs35ttsrYn\nwsQ2tExl0WfkWH1BXGTRCeH0HQpCdfYSclUSBm0UCwSC6L7DI9xAqvnNP5JFLYPfNRWbVBLKrFbs\nLiE3S+JImNiQs/0AYcc2q6LibbPZA2H2cG4hHBhwTSFYMVBcLKh2AABqcQO5QMREOXamsmiJYG0j\nobVMIDbithgemwq0oUnN+7IXUkINNxBLhJbHjUbG9zhjQ9PBxQ0nJ+6Fhke/oAiLG7t8G5p7s6FJ\n34M78Nl6hYxqk/nBzF4T362tm9Lb7MbGM5NFaqdA8UheLlgOb2E5+w1gPSLAXTa03TBnG8/BWobe\nhRPDjPuIvgYth3dTbiOacN3+GXpY9rCw9qxFCRwJzoiAaEOTnxBwna0sugj/KVxk0QnhdQUlMNnQ\nMlUSUW2ysKkUtoZmpVYYg467x+eTRfkH33x7wJYsiaMQD7YMBwg3KouK8gsoi6SezKdSJyGLUgjW\n9jF832uB4g2UIOzCmuLySQ5YJYvSrIkNlCAXwmNTgZMhqfmfw1bcQNolO9/wPZgcskhNk5d6Lxua\nUfBYUBbhZktnTAGRiEFLYPzrwYI7TcD1NKH1ir0mvkORwob3TLDZ7xkHCsRJbWjK1dDt0FIVbZEL\nw68qNBBWCIS1iIAYjnodNNixtan2FWsZehdODPzd+u9Py1Gussjb3Ye7mI03Z4FNiRI4EpwRAXaD\nWjkVSERlZxbF8+NF+L/iIotOiKArqJgaxHTmwTcedpZqhW0N7YpkXI3haEcoi46yoeVmSRwFDBPl\nUBahVBXbrU4NaSaJQR1cDEQ9AhSCtasH9dEaEdPJG6gFIgZ/+zySo5jMfkK0McdqeTPUihLUAhGT\nCj9uyvZos2hEuUgWwajQygroFdOkmwYbp5OcqAqVZkPLmAKKUdWFSgvEULhwjvURD/RukUDYZ+Lr\nN75ntnyPTujTkkV6Z7Jo7rcO3kMJ3eqBzapqMSIAp9I5quYLy9iqxkOkZOhdODFebWij6jW3EW3I\nGN35fbSSjZcSJXAkOCMCnplF+yuLctVmwV42tClcZNEJEYpvcBP9Ys1rKnLJIiEl9EHFw88UlK2h\nXdnY6fGA2DOEoyUD29ByVBKqALVSsbuELVkSR8HgoshAFqFUteCuPt4BQRkwEwc2AxbCgQGlSPx0\nCc9MN+YarZJFogS1EMyKv70p6Ae1IPXk94joGySLlu+JTi6Hx6bC2n1saADj97hAFglUaCn6GhBU\n8YMF1lkLSoRdMovuhVoMuI42NJ2hLBqncu+2H+XzFTHciNe4OvHdQSW5osZbg9rQ2GiFBnlSG5px\nDdg9yCKzbENrmwdIEVbVJl5XixEBGHCdtfe4sAgvi01NtYiUDL0LJ8aHNrRtxIDwPfQ7k0WYjfee\n34doEm36R6IR5WKMQSo6+xmZRdtyrEJcwy9l0SsusuiEwJcYMs5bsEUlYVfk6trV0K9s7LB20Taf\nryzKUUlAlIzmKbu2ZEkcBakUuCB4yKIxc+b+7Ysoi4T/0FIRvAcjHHvtOgV6tPB1CWo8JGJ0uUzE\nrGVtgO/BBwEqx7q1opLoR0JLr1gTe1mBcds3JGHHNot+JeA2+PzAzDChdIvrUAb5tIZVG9qGfAG0\nAPq3NUXBedZHzLHxM2qT58SX364SpFlU461BbVUWMWW/cKNIqK/PwdMWOf2Oq7+nHdjWIgLChibW\nC8vY2lSLSM3Qu3BSfGhD22Y5+ozCBTnTDIrA+1GemLxs4AaCQfVt/bin2FFZhJ+dm1kUNjTa/sy4\nyKITAsNqGw6yaINKwoJazLHRvlmVjBejHYmjdjEZI8GVo5J4Vj7nNYPJYMGdxGZBQQ+aJbMIugd0\nQYP+ApNVPCy+esktHiYO/A0pBCs+V0W1QhapCoxfsk/Z4XnPwYoazzb/NO0aZQmGQVnkR2Wh3OEe\n7FW5mFkiXJ8fmKmGvLRX8hLXoT2quKtCQWc9OD+90d7SXIKqLv+2jsrMds49sGZD23PiOzQxHqMs\n8idWFhWh3qWlCi2pc7/10yq7QhaZ+2JEwNWksyM2qvEQ+Fyv/dYXTgpcjz+0oeUqiz5B6bqSjdcl\nrj1HgisiwH5CG1qxVVl0kUWTuMiiEwIzSzC8NhfB+8GbnamSsMKAWLChGVevTgGLEmsXP9eGlq2S\nwE3lBrLoLJNzCizoaKHZAtl/Xw09Pw1QRdY9D//4n/c4nKeiqIbn37Xrzwz+mbVA8SGYdf6QI3yX\nL8deUeO5McdqjSyyK0RMKvxIWu2RG9Kr+zJZ5DfYUFUBUoQPFbvRNrNLG9pADtYzVrR+QxglHs7t\nW8C1zmzn3ANoQ5tb62N4/B4KBDltgU1FbsspAIATBuRJlUW30K42kuUgEoMr032xkqsG5r4YERAt\nDDtYYH91rGXjpeJp3T6vkuPCAmLA9QO0xOarPGLgM2IjVtceJItW1OFHopMlqCVleurnxBzEHQOu\n1baGvC2Ntj8zLrLohMDNKYbX5mKrSmLNhlaEFpxaVu/cxuwan3DwZcMGlYSIdcp5NrQtE98jYYVi\nqVMWtoZmJfT8NIgqsue/d4//+UAbWlH9BgBpZBE+V2sZUV6VcFsIZhWuz24FWVPjxWtcIYucvi+G\nx6Yihszu8LL3qoRiidDyGxRa4zptPyjdUFnEfz9WZiSLZqxozzY0umQcbTjhzfZzpvURN/F+xpr0\nDI/f4VCpDCjx/7P3LqHXdHta2LNutWvvr3NCS3oQbDESHKQhouTQGWQqpp20gUw0BBQSHEkGGSmC\nQmcS4iQTBxFpyMwkjjrQQSSYURBsSEdQkTROtCce7MTznXfvqlq3DKrWqtr7X3vvdavL///VA4fz\nfe/3Xuqt61rP77lYGJ22+WXIsaGxYhXkpVHbZSrNHTH49FoPCk3+JlftXUSAt6EdeRfF8S4bLxTy\n5pRF+92cH3gBPiGLhm+Ty8KJxRrKIp+N9+Tdo/y7Z7/Konf2+1A4ZdGiNjRHICYHXA8lJQdZdIeD\nLNohxsySPIIl18Kg8bo15WQaaPZ6YVe72sUC4WihyAmty7Wh5WRJbAkF7u17OWD6hpaUDyhdAu65\nmHrJ3fRnic15KE6X/vk3AVWl7uec3hEx4oLqVcOiVRn2qddqPHeM5zcNeT2hld8CuWRmkebn16Sb\nSbehjUT1hCxa1IbWH+czskhmTAHpIOE2D8rUHEVMaTjl2eMxOngFwhIT38yhRK/QyrGh7Y8s6hvJ\n2kUqzUdicP5ay2G6z98Qg2NEwLxF+LAwLIjMBkEH2fTfo3cZegd2Ckp7wkheveUoWVlk5OJOgHfZ\neKFRAluiVESAu057tqGNMSbHO3yKgyzaIVxYrcwMhe4yLQzqTRDmCc3bWmG3QbQBG99SILrLUEm4\njW+aymZPk/MYKJTJsWBqmerjJUBmggd9AOqGNrTaPzMByiJHxHz3o5c/z/ILzu+URQVJjrs/e/h7\n1G9Cz424oC6hLPLT/fL3oeVn1Hhl58uzoQH3pNuS5KVTFl3lk6wp34aWrix6fI8y6GSSozSc8uxR\n/eTgw+MXmPj6Z+ZJO9c7pLacAoChAqzAprs0uq4BJwZkgfY5l1/2TFnkr/WbDdsYEfCELDqm0ssh\ns6nWITRD78COUV2AblQWpapIqFXQC6/X32XjqbZ/l7yLEtgSip1fK6oDMbahLR9wnZxjldFo+5UR\nRBYRQn6FEPJPCSG/Qwj5izP//c8RQn5CCPnt4X//5eS//VlCyP8z/O/Pljz4rwoxvDRyQ6FzNxqa\ncFDzXGFT2xb2Tb4A4xyNFSBrZhZlqCQI/0ggxGBPk/MY6EI2tJDQ891gJnjQbd7Ihm02MQSre67q\n8+uFhhVnnNHehSdPQY1MlmPPkW536K7QlqB6EzhvxeXlMYbCbdiWCFl/R2hRo6BzVY0TAsFZJJe4\nH31m0VNl0SAZT1AWeSLmQbUjsJ/3I/PWpPn7dtGJL32dl/QOHOktp4ZwsB0GXDdDIxkWaAVib5RF\nzvL7TqHpQmifRgQceRfLIbOp1kEH2qIP7Bjiu7vMoi6RGGBWQScOlkPxLhvPtkOm45sogS2h+Rmi\nwCBPGQNGCQhZow0tPeA6tdH2K+Pt2SCEMAB/HcCfBPBLAP4MIeSXZn7q/2St/aPD//7m8Gt/H4C/\nCuA/BPDLAP4qIeTnix39F4VbsIRklrzCqJJIJIteZBYZrXEmHewbZREANKRM7WIoiJbJdZiu5vLZ\nBuIdcrIktoQmry2HoRD6BvVJyKKxTnmqLOru/tsWYJyjtQIIsW7KK6729P7DJi6gxKJt559DYtMr\nZMmbtg+ibrihDjjGMzgxTxVKwTDL2dAgLqiIfqoI6TMQMrOfJhta9x5a4n48vyWLnGS8YGZRhiKm\nNHxj25Ng/yU3le/UeO+QY0MrVUFeGs1gBVuiQvqd5VAHEoMjWTS/NhttaAdZVBq5EQEOJrBw4cCO\nIXobmvDKolQb2vKFNO+y8dx3pr68VodvCcPPRVTfSltwuhxRBIy2+fSGvIxG2y+MEOrslwH8jrX2\nn1lrOwB/C8CfCvz9/2MAf9da+3vW2v8XwN8F8Ctph/rDgTiXCYUeVRKJmUX0eWuKW9iRgHyBBjXo\nimQRNRIqUVrqNhD6yYv9HXIW8VtCQxSxoVWmfduQtxeQ4VpPF5+u6jv1mSmFGzmBBpBFRN2C2udc\nMKuf3j/+d6OSnxniZdZPCBR5DTzGfiN2e3KMofAbtjdKphSMAbfzNhRqZbKsnczI1d29SRdoV/IB\n10/a0FzAdUq+gLMAPm7OudWbWjyncLkyz2xoYzD7AjY0/jEvLQYcCjaRQDS02mXAtWskowvY/ph4\nTQz67Lc3uWpvIwKG318cmUXlkdlU6+Ce63cZegd2jMGGJnxmUaKyCApm4fX6O6Layn5vVO9YWWT4\nuUieZKeNzxRaCpQSMEryyKJP2Gi9NEKu2u8H8M8n//4vhh97xH9KCPmHhJC/TQj5A5G/9sAE7qUR\nEnD7CrkqCf0ix8Zt6EjAwq6jp1XJoiyVRKYNLSdLYktoworUKVf2Br1A9fESmJMHK2/d3HZDG0qw\nUnVFG9A+5xoWmyctPjk2NK/QevLMMHVFG0IWDSpFVyWbDJ8bUv45dIRW+/Q8prer+HdP91HptqQN\n7fpGWZTSXMKf5AHtyoY23B+PVjmHJSe+79R4r2CNQUU0SKqyiHDwHZJFY6V5ebKIu2v9JlftnQ3t\nbUSAltCWgPF93ONfCblNtQ6ubOVdht6BHUN8B8jbpA0tTVnEVgi4dpZU8+S+DY0S2BKlIgKUtos2\noTlwSpLVZjAyvdH2C6MUxfe/Avh3rLV/BL166H+M/Q0IIX+eEPJbhJDf+slPflLosD4nXFhtLlnk\nVRLJE0j+lEBwAY9u8/QKHSlTuxiKnDpMyl5LRt8hJ0tiS+g3YeahONkW5tOQRf11mk6bnaKMbphZ\nBIQTrEw1aANsf3TY5LRP7BPUKphM+9QzNR7TDTry/p5gPjz2SR5IIKxZrpHIWWSeBdxSm774pDPn\n0b2H6ALkZS3CMotS2tC8BXAybLDGQBCdbIsuDU9oPVGbLDnxJTMW2FBo3b+nU5VFvQ1tf2SRD5le\nIOjVTfefXuthrXV5UxTwNiLgsDAshlI2tNAMvQM7hjgD8lsBZZFefHjhLdlP3j3BUQIbgojvwIlB\n1+VZ0ZQx4Asri4BeDZ3ahpZT9vKVEXLVfhfAH5j8+y8OP+Zhrf1X1nqN2t8E8B+E/trJ7/E3rLU/\nttb++Bd+4RdCjv3L4lT3G5LcUGilXDhq2qbJEAZm5zcS3bCwY2+qZgGgo+dVySJq0y011Ieerp8l\nsSU0EWAFMotq28Lw8pkTS8BnlkxtaDvILALCCVaub+joeyKGVy5r44kixmYQrAMp88wewPQNHX3/\nDnIV5c+ImGAMm+klGom4J92ekEUFiGqtPt6PSwTm+oDrZzY0bUFJL+uOhbMAThfI7nu0FzLdWYWe\nLeJJ9w3GkkUmvmNDTvxQwm+WEwlES3k/1NgZXH29qMuTc/wNWQR5Q2vFW0WQC6F9FhFAtIQ8NhqL\nIEeNd/f7yGtYht6B/eLRhpZIDKzRXvwuGy80SmBTVP0as7lmRqNou7gNDehzFlMJRGLVYUObQchV\n+wcA/jAh5A8RQioAfxrAb0x/AiHk3578668C+CfDP/8dAH+CEPLzQ7D1nxh+7MALUMZwtaewgNsX\ncLaQVJWEJgLMzr/gulv4FFCxGqJA7WIoqJHJKolRMpraUpOeJbElehVZ3iLMGoMzGtiAHKs9wG3O\n1TTg2mXEbBxQKmkNrt8/M9w0kAFEjHtO5RP7RC/HTiRYZ0iOKYRuIANyrPhAPOe2QEJ3kAu1WbDT\n68ySfvGZSBY5AmEiVzc+s2gJG1p/nM9taCYprwiYWAAn94QcppJbWzwdPAH3xIYGeUWDapH7iLyx\nbr5C57IIE6t9LavAM9/1S0ANrUBiAWURrxwxOH+tqfyGhry/L52y6Jnqu8+7OCwMSyA358v/Pp9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LPnMa8NkXEOY8ldawoxEmpBSfS56u/1Rn1UFymTV3NrKJ9VFi3V7JYCQzjYS7XJMpvKnGw8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\nQgghhJAWikWEEEIIIYQQQgghpOX/A/ekUeECsoKOAAAAAElFTkSuQmCC\n",
            "text/plain": [
              "<Figure size 1440x720 with 1 Axes>"
            ]
          },
          "metadata": {
            "tags": []
          }
        }
      ]
    }
  ]
}