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"}}},{"cell_type":"code","source":"# generator_g.save('/kaggle/working/generator_g_trained_model.h5')\n# discriminator_x.save('/kaggle/working/discriminator_x_trained_model.h5')\n# generator_f.save('/kaggle/working/generator_f_trained_model.h5')\n# discriminator_y.save('/kaggle/working/discriminator_y_trained_model.h5')","metadata":{"trusted":true,"execution":{"iopub.status.busy":"2025-02-13T17:10:33.822898Z","iopub.execute_input":"2025-02-13T17:10:33.823522Z","iopub.status.idle":"2025-02-13T17:10:33.835528Z","shell.execute_reply.started":"2025-02-13T17:10:33.823488Z","shell.execute_reply":"2025-02-13T17:10:33.834675Z"}},"outputs":[],"execution_count":null},{"cell_type":"markdown","source":"**Nếu bạn muốn tiếp tục huấn luyện mô hình sau khi tải:**\n```python\ngenerator_g = load_model(\"/kaggle/working/generator_g_trained_model.h5\")\ngenerator_g.compile(optimizer=tf.keras.optimizers.Adam(learning_rate=0.0002), loss=\"binary_crossentropy\")\n\n# Tiếp tục huấn luyện\ngenerator_g.fit(train_data, epochs=10)\n```\n**Còn nếu bạn chỉ dùng mô hình để dự đoán:**\n```python\ngenerator_g = load_model(\"/kaggle/working/generator_g_trained_model.h5\")\noutput = generator_g.predict(input_data)  # Không cần compile()\n```","metadata":{}},{"cell_type":"code","source":"# # Load toàn bộ model đã lưu\n# from tensorflow.keras.models import load_model\n\n# model_cycleGAN = load_model('/kaggle/working/cycleGAN_model.h5')\n","metadata":{"trusted":true,"execution":{"iopub.status.busy":"2025-02-13T17:10:33.836950Z","iopub.execute_input":"2025-02-13T17:10:33.837196Z","iopub.status.idle":"2025-02-13T17:10:33.846624Z","shell.execute_reply.started":"2025-02-13T17:10:33.837174Z","shell.execute_reply":"2025-02-13T17:10:33.845911Z"}},"outputs":[],"execution_count":null},{"cell_type":"code","source":"# # Load lại kiến trúc model (phải khớp với lúc lưu weights)\n# generator_g = create_generator()\n# generator_f = create_generator()\n# discriminator_x = create_discriminator(add_noise=True)\n# discriminator_y = create_discriminator(add_noise=True)\n\n# # Load lại trọng số\n# generator_g.load_weights('/kaggle/working/generator_g_weights.h5')\n# generator_f.load_weights('/kaggle/working/generator_f_weights.h5')\n# discriminator_x.load_weights('/kaggle/working/discriminator_x_weights.h5')\n# discriminator_y.load_weights('/kaggle/working/discriminator_y_weights.h5')\n\n# generator_g = load_model('/kaggle/working/generator_g_trained_model.h5')\n# discriminator_x = load_model('/kaggle/working/discriminator_x_trained_model.h5')","metadata":{"trusted":true,"execution":{"iopub.status.busy":"2025-02-13T17:10:33.847568Z","iopub.execute_input":"2025-02-13T17:10:33.847823Z","iopub.status.idle":"2025-02-13T17:10:33.855738Z","shell.execute_reply.started":"2025-02-13T17:10:33.847800Z","shell.execute_reply":"2025-02-13T17:10:33.855031Z"}},"outputs":[],"execution_count":null},{"cell_type":"code","source":"import tensorflow as tf\nimport numpy as np\nimport matplotlib.pyplot as plt\nfrom tensorflow.keras.preprocessing.image import load_img, img_to_array\nfrom tensorflow.keras.models import load_model\n\n# 1️⃣ Định nghĩa lớp InstanceNormalization\nclass InstanceNormalization(tf.keras.layers.Layer):\n    def __init__(self, epsilon=1e-5):\n        super(InstanceNormalization, self).__init__()\n        self.epsilon = epsilon\n\n    def build(self, input_shape):\n        self.scale = self.add_weight(\n            name='scale',\n            shape=input_shape[-1:],\n            initializer=tf.random_normal_initializer(1., 0.02),\n            trainable=True)\n        self.offset = self.add_weight(\n            name='offset',\n            shape=input_shape[-1:],\n            initializer='zeros',\n            trainable=True)\n\n    def call(self, x):\n        mean, variance = tf.nn.moments(x, axes=[1, 2], keepdims=True)\n        inv = tf.math.rsqrt(variance + self.epsilon)\n        normalized = (x - mean) * inv\n        return self.scale * normalized + self.offset\n\n# Định nghĩa custom_objects để load mô hình với lớp tùy chỉnh\ncustom_objects = {\n    'InstanceNormalization': InstanceNormalization\n}\n\n# 2️⃣ Load mô hình CycleGAN với lớp tùy chỉnh\ngenerator_g = load_model(\"/kaggle/input/cyclegan-keras-monet-4h5-43epoch/keras/monet-cyclegan-with-better-cycles/1/generator_g_trained_model.h5\", custom_objects=custom_objects)\n\n# 3️⃣ Hàm tiền xử lý ảnh đầu vào\ndef preprocess_image(image_path, target_size=(256, 256)):\n    img = load_img(image_path, target_size=target_size)  # Đọc ảnh và resize\n    img = img_to_array(img) / 127.5 - 1  # Chuẩn hóa về [-1, 1]\n    img = np.expand_dims(img, axis=0)  # Thêm batch dimension (1, H, W, C)\n    return img\n\n# 4️⃣ Hàm để chuyển đổi phong cách ảnh\ndef generate_stylized_image(image_path):\n    input_img = preprocess_image(image_path)  # Tiền xử lý ảnh đầu vào\n    generated_img = generator_g.predict(input_img)[0]  # Dự đoán ảnh mới\n    generated_img = (generated_img + 1) / 2.0  # Chuyển đổi về khoảng [0,1]\n    \n    return generated_img\n\n# 5️⃣ Hiển thị ảnh trước và sau khi chuyển đổi\ndef display_results(input_path):\n    input_img = load_img(input_path, target_size=(256, 256))\n    output_img = generate_stylized_image(input_path)\n\n    plt.figure(figsize=(10, 5))\n\n    # Ảnh gốc\n    plt.subplot(1, 2, 1)\n    plt.imshow(input_img)\n    plt.title(\"Ảnh gốc\")\n    plt.axis(\"off\")\n\n    # Ảnh đã chuyển đổi phong cách\n    plt.subplot(1, 2, 2)\n    plt.imshow(output_img)\n    plt.title(\"Ảnh sau khi chuyển đổi phong cách\")\n    plt.axis(\"off\")\n\n    plt.show()\n\n# 🔥 Chạy thử nghiệm với ảnh bất kỳ (đổi đường dẫn ảnh của bạn)\nimage_path = \"/kaggle/input/my-avatar/cau-vang-da-nang.jpg\"  # Đường dẫn ảnh đầu vào\ndisplay_results(image_path)\n","metadata":{"trusted":true,"execution":{"iopub.status.busy":"2025-02-13T17:10:33.857419Z","iopub.execute_input":"2025-02-13T17:10:33.857664Z","iopub.status.idle":"2025-02-13T17:11:24.705809Z","shell.execute_reply.started":"2025-02-13T17:10:33.857643Z","shell.execute_reply":"2025-02-13T17:11:24.704411Z"}},"outputs":[],"execution_count":null},{"cell_type":"code","source":"import os\nimport glob\nimport numpy as np\nimport matplotlib.pyplot as plt\nimport random\nfrom tensorflow.keras.preprocessing.image import load_img\n\n# Thư mục chứa ảnh\nimage_folder = \"/kaggle/input/gan-getting-started/photo_jpg\"\n\n# Lấy danh sách tất cả các ảnh .jpg\nimage_paths = glob.glob(os.path.join(image_folder, \"*.jpg\"))\n\n# Chọn ngẫu nhiên 10 ảnh\nrandom_images = random.sample(image_paths, 10)\n\n# Lặp qua từng ảnh được chọn ngẫu nhiên và hiển thị kết quả trong 2 cột\nfor image_path in random_images:\n    print(f\"Đang xử lý ảnh: {os.path.basename(image_path)}\")  # In tên ảnh\n\n    # Tải ảnh gốc\n    input_img = load_img(image_path, target_size=(256, 256))\n    input_img = np.array(input_img)  # Chuyển thành mảng numpy\n\n    # Tạo ảnh chuyển phong cách\n    output_img = generate_stylized_image(image_path)  # Hàm tạo ảnh đã chuyển phong cách\n\n    # Hiển thị ảnh gốc và ảnh đã chuyển phong cách trong 2 cột\n    plt.figure(figsize=(10, 5))\n\n    # Ảnh gốc\n    plt.subplot(1, 2, 1)\n    plt.imshow(input_img)\n    plt.title(\"Ảnh gốc\")\n    plt.axis(\"off\")\n\n    # Ảnh đã chuyển phong cách\n    plt.subplot(1, 2, 2)\n    plt.imshow(output_img)\n    plt.title(\"Ảnh sau khi chuyển phong cách\")\n    plt.axis(\"off\")\n\n    plt.show()  # Hiển thị ảnh\n","metadata":{"trusted":true,"execution":{"iopub.status.busy":"2025-02-13T17:11:24.707216Z","iopub.execute_input":"2025-02-13T17:11:24.707569Z","iopub.status.idle":"2025-02-13T17:11:29.465701Z","shell.execute_reply.started":"2025-02-13T17:11:24.707539Z","shell.execute_reply":"2025-02-13T17:11:29.464865Z"}},"outputs":[],"execution_count":null},{"cell_type":"markdown","source":"![image.png](attachment:a22b80aa-c5ef-48b3-8fbd-fb8f73924c85.png)","metadata":{},"attachments":{"a22b80aa-c5ef-48b3-8fbd-fb8f73924c85.png":{"image/png":"iVBORw0KGgoAAAANSUhEUgAAAcwAAAHLCAYAAABF3qg+AAAAAXNSR0IArs4c6QAAAARnQU1BAACxjwv8YQUAAAAJcEhZcwAADsMAAA7DAcdvqGQAAGahSURBVHhe7d0HfNTkHwbwH6ulgzLLll323kNk7yV7yxIBFUGR6UL8KwqIyhSZCqioiOwNyt57700XhZYOyrp/nrdJuSvXawqlgz5fP2cvb3K5JNfLk3ekpLBoxAEfvwDJ5plJnyIiIkqeUuo/iYiIyAEGJhERkQkMTCIiIhMYmERERCYwMImIiExgYBIREZnAwCQiIjLB1H2YQUF39SkiIqLkiX+4gIiIyAQ2yRIREZnAwCQiIjKBgUlERGQCA5OIiMgEBiYREZEJDEwiIiITGJhEREQmMDCJiIhMYGASERGZwMAkIiIygYFJRERkAgOTiIjIBAYmERGRCQxMIiIiExiYREREJjAwiYiITGBgEhERmcDAJCIiMoGBSUREZAIDk4iIyAQGJhERkQkMTCIiIhMYmERERCYkWGA+evRIbt26Jb6+fuonphOLhw8fyi/zF8igQe+Lt7e3Xvry8vPzk48/+VQmTZqi9p2IiJ4W74F57949mTlzlpSvUFkqVqoqVapWVz8xPWv2nERxwj5//rwKj2XLV8jSpcv10qQvNDRUXaDcvn1bLBaLXiqyevUaWbjwN5kzd56cPHVKLyUiImupRmv053aFhIaJu5uLPvV8UIv84osvZeq0HyU8PFyyZMmiPTJLmjRO6iS+Y8dOcXV1lfLly0mKFCn0V8W/DBkySHBwsDhp29W//1uSPn16fU7SNmfOPOnZq7ccPXpMmjRprB33NKo8W7ZscubMWan12mvSvFlTSZ06tSonIqIn4rWGefHiJVm3fr2kSpVKxowZLXt275D//t0ku3Zuk2HDPlTLLFi4UK5du66eJxQExocffiALFvwsefK8ope+vLJnzy6//DxXRo0aIWnTptVLiYgSHlrD0CqJh3XLWEKI18C8fPmyahLMkSO71KtbJ7IWiQDt3KmTTJ82RT75+CNJly6dKgfUSleuXCVNm7WQQl5FpXyFSjJy1Mdy8+ZNfYkIRr9j/QaN1HIlS5WVbt16aLWpo/oSEcwshz7VTp27Sq3adWX79h166dPbgtf2fau/nD17Tl8iApo38dovvxyrwr9f/7elWPFSqun5hx8mq2bpmGD/sJ/YX7xX7Tr15Zdf5tu81no7t2zZqvYL74H36tK1e+R2hYaGqf7YGT/9pKYPHDwojZs0U2WYh33EOrAurNOAWvY348ZLteo1JX8BL/UT0yg3GOvG67du3Sb//vufNGrUVLwKF1M/MW39S47nq9esleYtWqntxKPV621l0+Z/E/zLQESJS0RYztbOOxPUA88T8jwRr02yIaEhsmrVGgkICJDHlsdSqWLFyGZB1GwKFiygHkYtB+H26WefyzjtQKHJ1tMzi4SF3ZOD2gl/xcqVUqVKZdWciCD7/PMvVL9jUFCQKnNySqOaGf/++x8pW6aMVlPMY3q54OAQmTt3nly5clWaNm0iBQrkt9kWf39/9aE9ePBALly4KH8v+UcKaNtdqFBBtd07d+6SlatWi6ubq/zxx5+ye/ce9fqwsDDZtXu3+vlazZrRNjsfPnxEC69usnfvXhWQeK/AwEAVPieOn5S62sWGs7OzzXaGhITIvHm/qJ94r2vXrsmq1WvUMcqcOZMsWvRnZIBiPvY/c+bM0rJlc7l06ZLMX7BQUmsXLu3atRU3Nze5fv26Ct1169ZHBiR+7tu3X21H7dq1xMPDQx0DrPvY8eNqf8dPmCg+vr7y+PFjuaV9zmvXrpOyZSOOK8yeM1c++ugT7RjeUtvl6uomFy9elOXLV0iWzFmkdOlSajkiSt6MsBw3foI6d2Ma51aXtC4J1m0XrzXMYkWLqgDCzqM/rULFKtKtew9ZpIUKQigq1Hz++muxOrEvWvSr7NyxTfbt3SUdO3YQHx9fmab3hV6/fkM2btqsnXxdZN7c2bJ923+yY/tW+XDIB6qP9OixY+o9zS5nz4aNm9S2IMwnT/peLpw/IydPHFXbgpCaNGmyTe0M8OE2aFBfLXf0yEFp3ryZKt+8+b+nljVgYA5CGfNr1KguBw/sk4sXzmrvvUgdhy1bt8qyZSv0pZ84cOCgOkZYdsf2LVKhfHm1ju9/mCQpU6bUar2/yIjhw9Sy1atVk+PHDqsy9BlHhWMweco0FbBeXoXk380b1HrxE9MnT55SA4SiXumtWbNOZvw4TR2blSuWSV4tJBH4K7RaOSD0UUPH+r/88gt17PEZfP/dt5I1a1Y5d/6c2n8iSt6ihmXbtm3UA89RllA1zXgNTPQNjvn8M62W95lkz55NnUwRiiNGjJKq1V6Vt99+V93iADgYOLmiBtNJCyUEACCwevfqocLj8JGjKjjv37+vHciH2rIP5erVq+qg4uoDA3a2bvlXBvTvp5p9zS4XFbZlkxaY2JZGDRuoATN4Hbbl7QH9JUeOHKqWisE01ry8vKRnjzfUcu7u7tLjjW4qrFHDvhnN7SrnL1yQ4ydOqOU/eH+wZMgQMeAI+4/jgG1es3atagq11q1bl8hjhO0ZOPAdVXtHbRW14Njw8/OXXbt2q2Mx8N13JG/evKocP99+e4B6bi/0W7RoJq+9FlFzLl68WOQFwlWtBowgRK3z3r1wVXbt6jV1sQNYDiH/2aef2A1wIko+ooZl586d5OuxX6oHnidkaMb7bSUIzTe6d1O1i107t8vXX38lpUpFNMOhb+vDocPVyRXNlqgRAmqg6CMzHr1695U7d+6o5QKDAiV//nzSsEEDFWijPvpE9S22bddBJk+eatPXaXa5qKy3pVixYjahippp/nz51Id4+vQZvTRCpowZVdOpwVkLTowIdsRXuwBATSxzpkySO3duvTRCuXJl1U8EkHU/IpQqWVJ/FiFXrlySMWMG1fTq6+url5rj5++nji9CO592zKyhyRyjhu2FfvZs2fVnEaz7oiGjdjzatm2tjt+UqdPU8Ud/MPp6UZtNiCtGIko87IUlKlnIDaPClZChGe+BaUAtJFu2rNKxQ3tZtvRv+emnH9UJGs2YBw8e0peyL3XqVFog5NQCJZc4abUonIBHj/5Upk2botq2AU2UE7/7XurWaygLFv6qyswu9zJwcnLS9je1+sXCI7Ho07uX/LpwvuoDRc0bzbu4/7ZJ0+aRXxIiSn7w3Z/+4wy7YWmwF5p4TXydN+I1MDHCEjVE/FWZqDtYskQJVatC7Q9NtQi3tC4Rg3/e7NNb3X4S9bFi+VIpUqSIWgbLN2ncSBb/9YccO3pINm1cJ3Xr1FbrwqhVDBqKzXLWrLflhlYTtb6iCQq6K9dvRNQ+8+aLaLp8HggRNKUGh4RotTzbbTl37rz6mT1HdnFzs226NLbB4Ovro9VU76jaYFbtwiQ20Knu7OykavABtwL00gg+3j6qduvhkU48s2TRS83DhVLlypVk7pxZql8XrQxdukT88v/99xJ16xERJT84z7Zq2UINsrQXlgbr0MSyeA1eGx/iNTCLFyummjYXL16i/rqMETwYtfnnX3/JtevXVS0TTXdoyqxV6zU1f/Hff2uve3Jv5r79+6Vdu44yfvy3KuCOHz+hplu3aacGD+Hg5c+fX5o0aaKWR18ZTshml4sK21K3Th21PPpVjxyJuAUF279s2XI1IvWVV3JLieLFVfnzKFq0iBpti/7BeT/PV8cGsP84DlC1ahU1ktXaggULI48Rwn/uvF9UP2ehggUln94HaTSRhoaFqguT6KDmXqZMGbUMan93795V5fj58y/z1TEqX66ceHp6qnKzjFtsUJs/c+ZMZCtD82bNVN8u+pbRz0xEyRO6kv5ZsjjasDQYoYll8Zr4Eq+BiWa4atWqqhP6wPcGS4WKlVWNs2y5ijJhwkR1Im7RonnkrQWtX28lr75aQ/VvNW3WUt4b9L464Xbv3lP2Hzig+udwawNuT7ir1XoOHTqsAhGDiN4dOEhGfz5GradOnVpqkJDZ5ezB7RfYdgQZ7lfEduD+QTQJQLeuXVXQPC+8/8CB76qa5m+//a7ul3z7nYFq/41Rq+3btdWXfuLhw0fSqHEzdTyr16gpq1atVgGPwUBGUOJqDOvF4CSs115NH7DMO28PUNuybdt2adioiTr2+IlplPfq1TPWV3WZMmVUnz1uI+ncpbvqr8YDnwHCvWLFCmobiSj5wsA/R2FpwDLxPUgwXgMTJ278cYKePSNGjt6+fSfyHkIE36iRw+XTTz6KPFhYfvKkH1SVG8vgXj3cF4gT9XvvvSsffTRSPcdfqvlx+hSpWKGCqqVikBBqgpiHZUaOGK5qM2aXs8d6W1Dzwnbgjx2gyXPixAnSp0+vaF8bW40bNZSpUyapkcTnz19QtXHsP5qSf543x+4V1cB331Z/DAI1eBxXHE/017Zq1VJfQlQg9daCDk2+3t4+sn//QXXRYU+ZMqVlzuyfpHDhwmpZHHv8xMCj335doObHFn65J4z/Ro2KxcCmxYv/Vg80/fbu3VPdXoLfCyKixCiFJYYhRj5+AZLNM5M+FXfwthiJiWa4NGlSq7/f6ihw0FwaGBikhVtKtWx0tRucfHFDf1wtZ4+xLWa2+3lYH6P06T1sRtwC/mpShw6d5PKVKzJr5gypV6+u2i+M6nW0T6hVGrVzM/uNZXE7iLu7W5xd0RnHMGXKFGpbzVxREhElpAQLTHp+9gKTiIhejAS7rYSIiCgpYWAmYWnTOqs/NYjh1eifJSKiF4dNskRERCawhklERGQCA5OIiMgEBiYREZEJDEwiIiITGJhEREQmMDCJiIhMYGASERGZwMAkIiIygYFJRERkAgOTiIjIBAYmERGRCQxMIiIiExiYREREJjAwiYiITGBgEhERmcDAJCIiMoGBSUREZAIDk4iIyAQGJhERkQkMTCIiIhMYmERERCYwMImIiExgYBIREZnAwCQiIjKBgUlERGQCA5OIiMiEFBaN/twuH78AyeaZSZ9KXB4/fiyBgUHqefr0HpIy5dP5H3D7tpw+fVacnNJI8WLFxMUlrT7nifv378uJU6clJDhEChUqKNmyeupzRB4+fChBd++K9WFKkSKFeKRLJ6lTp1avDQ4JiZy2Zua1d4OD9Tna1UuKlHb3A68PCrorjx4/snmfsLAwCdUeUUVdD7bj/IWL4uvrJ/ny5ZXcuXKq7TCY3Q4iouQsSQfmgYOHZer0nyRNmjTyweB3pbBXIX1OREgs+HWRbNm2QwUrIDTf6NpZXq1RTU3Dnr37Ze4vC1X4AIKkcqUK0rd3DxVMZ86ek4nfT5F74eFqPqR1do58v5279sjP83996v3BzGtnzJqrz4mAsH5/0DuSPVs2vUTk8pWrMu7bHyQ0NFT69ukp1atWVuV/Lv5HVq5eq55by5AhvXwyaphkzpRJzp2/INNmzJKAgNv6XBEv7aJg8MAB4ubmpqbNbgcRUXKWZKsQyPm9+w9I9uzZJJ1HOtm774A+J8LW7Ttl+87d0qFda5nz01SZMfV7KV2qpPz59z9y09tbLYOfC3//Q4po4TV10rcyd+Y06dm9iwpivN5avzd7ybxZ09XjR21dUcPREUevRYCOGj5EzcPPEC0UN276T58b4fCRY2q53Llzya7de+XRo0eqvH3b19Xrvh33pQrJZk0aqenvJ3ytwjJEq/nO08I8nVYrHTd2jNq/IVpYX79xQ35b9JdNzdfMdhARJWdJNjBv37kj585dkLJlSqsa08nTZ1RAAJoYUWvKm+cVqVOrpmpadNYCoVuXjtKhbWtJkzqNWu7goSPy4MEDadWymbi5uqraZY3qVWVAvz4JUrPKnSuXCrpbtwL0EpFwrXZ65OgxyZcvj1StXEmrbV4RXz8/fa5jp8+cE19fX2netJFk9fRU+1eqZAmpUa2qHD95yuZ9rNnbDiKi5C7JBib65O7evStFi3hJyRLFVf/chYuX1Lzw8Ih+xTyv5FZBaciQPr0KxCxZMqtpf/9bWs0sg2TJHDENaIYtX7aMFCtaWC+JgObdwUNGqMdnY76S27fv6HNi5ui1qOOhf9Lbx0dWr10nN256S8GCBSJmajB94+ZNKV6sqHZhUEDC74XLiZOn9bmO4aIC+58rZ069JEKB/PkkLDRM9e8aYtoOIqLkLkkGJpoS0TSJgSnptRDMkjmTFgxOslMrg1SpUmm1yNQ2fYf2IEwePnioBtPEpFLF8tK2dUv1QNOnq6uLPidmjl6LGuSU6T/JiI9Gy8rV6+RVLdAbNairzxXZt/+gVjNMKTmyZxNXFxfJrO3r7j37VC06Js5OTvL4sUXVoq0ZTbrWYtoOIqLkLsEH/YRoNZ3g4BAJDQtXJ3LrzfEqmFd/Zgs1wy+/mfBULc8zSxYZOfwDSe/hIT9M+VFu3bolwz8cLB7aNJw6fUZmz5svXTu1V025m//bKr//sVje6d9XSpcqoZZBs+7kaTNUk2zPN7pGDtzp0b2LVNMH21gzM+jHzGsR/OMmfK9qtn16vaGaTzEQCYN9Ll66rL8iAgJ36AeDJH++iONzKyBAvvhqnGpqRb+m4cTJU+o4oB+3Xp1aqgzH96fZ8+T8+YsyasQQVeuOaTticva87fYRESVWOKehUuXq4izu7m7iFovKD06gDnn73tKfxa2we+GWq9e9LVeu3bTcCbxrCb9/X58Ts03/brH0HfCe5cjRY3qJxbJn336tbKD6CSdOnrb0e3uQ5cuvJ1jOnjtvOXzkmEWrPVmGjfzEEhBwWy0THBxs+XTMV5ZBHwy3bN22w3L16jWLVsuyvNl/oEWr2allTp85q9azfsMmi/+tW+qhBZRFq7Wp+Tt27ra8pc3fu+9A5Pw7dwItj7WqnZnXYj6Wg6XLV9lMHz9xUu3nhk3/qmm4cPGSZcDA99WyBqx30JDhlj/+WqKXRMD7TJr6o1rnqjXrLNev37As/O0PtX+LlyzVl4p5O4iIXibIG+QO8gc5hDwyI9VojZ6ddqEG6O4WiwQ2Aeu8cdNXMmZIL1m12mtaZyeV+GagArpk6QrtMkGkRdMmqikWcH/l3n0H1f2ElStWEE/PLPLKK7ll5+49snb9Rtm1Z69kypxJBr7dT80DJycnKVOqpFZDuiDrNmwSLYglKChIjZRFMyquRFB7Qw3swKEjsm79JvX4b8s2KarVwNA8eu3addm9d59oQR05XwsaqVK5ouoTjOm1h48cVbVPTGNgzr79B0QLNnVrixaUqk+xdasWki6du9pmNMsePXZC9WtW0ZbBLTWoiW7Zul312ZYoXlQtBxjsVLpkSfHz91fvjfVd09bduGE9adm8aeR9ljFtB+/HJKKXCfIGuZPew11lirePn8oSJ+186ki8N8neC7+vnbS9JWd2z1j1Az6Pe/fuqcE8xg3/9uC+TTzSpn36Dxu8DPAxo5/yZd0/IqJnFYpKnLef5M6VXQVpdOK96uB/67Z4ZskUb2EJCAlHYQmY/zKHCWrLDEsioqchj5BLyCdH4jUw0RSLmg6qwURERIlFRPOsReVUdOI1MDEa1kPviyMiIkpMkE/IqejEa2Di1hEXlyd/SICIiCixQD4hp6ITr4GJ+yxjGoVERESUEJBP9v6wiyFeAzOGAblEREQJylFOxWtgEhERJVUMTCIiIhMYmERERCYwMImIiExgYBIREZnAwCQiIjKBgUlERGQCA5OIiMgEBiYREZEJDEwiIiITGJhEREQmMDCJiIhMYGASERGZwMAkIiIygYFJRERkAgOTohUUFCS+vn5y69Yth/+oqhl4PdaD9WG9RERJTZIMzA+HDpf8BbxifGzcuEktf/TYMSlbruJT8wt5FZXOXbrJxYsX1XKGGTNm2rw+qtDQUOna9Q31wPPoYD2FixSX7dt36CVPO3DgoJQqXU4+Gz1G/cOl1tv6/Q+T9KWehmXxGixXu3Y9FURxBcejTdv2UqZsBalStbpUrFRVGjVuKrt379GXiB28Dq/HerA+rLdDx85y7dp1fQkiosQvSQZmt65dZNrUyZGP119vJa6uLjJi+DCb8hIlSuiviFC1ahWb+X379pEzZ86q0Dxz9qy+VNypU6eWeHh4yLr1G6L9V7y3bN2qfrZq2UJSpEihnhv++2+LBAYG6lO2UFvbtWu3pEmTRi+JG5cvX5Zu3Xuq9U+fPlV279ohv/26QFKlSi2DBr8f6+N0/PgJeefd97TPx03+WPSbWt+UyT/IlStX5K1+/dX7EBElBUkyMMuWLSNNmjSOfBQtUkQLDiepXqOaTXn27Nn0V0TIlSuXzfzhw4bK7Fk/yb174fLbb7/rS8WdvHnzSpkypVWw2QuGu3fvyrat26VI4cLi5VVIL41QrlxZOXv2nBw6dFgvsbVz5y7x8/OTPHle0Uvixpo16yQkJESmTJkkjRs1lKxZPdWFxujPPlHbu3XrNn1Jc1avXiMPHz6UL78cI5UqVVTra9asqXw0aqTav6NHj+lLEhElbsm+DxNBVbRoETlz+qzD5tVn4ezsLK+3aikXLlywG3ynT5+Wk6dOSoMG9SVdunR6aQRcFCDglyz556n+w/DwcPln6TIpVrSoFCpkG7T2zJo9R1q2bC3nzp3XS55Ys3ad1K5TXzZt/ldNd+7cUTZuWCvFixVT0wZsS/r0GeThg4d6iTn+2oVChvTpJVtW24uXvHnzaLVO1+fuGyUiii/JPjDRDJoqZSp9Ku6VLVtWcuTILitWrHwqHP79d4u4uLiqptuosnpmVTW7nbt2ycWLl/TSCGg2PXz4iLz2Wk1xd3fXS6NXvlw5uXjpkqxYuVIviYDtWb58hQr20qVKqjI0IWfOnFlSpbI9JgcOHFA12pw5c+gl5tSoXk18fH1lz54n/Z9onl6/YaNqTn7lldx6KRElZ+fPXzD1SEjJPjCvXbsmp8+c0WpQObXwctFL407u3Lm0QKwjBw4elBs3buqlIrdv35aNmzarJls03UaFIEe/ZmhomOzYuVMvjbBq9Rr1017Q2lO8eDGpWLGCav5Fs6oBQbxv3z6pXr2qZMmSRS99ArVi1GTfHThIhg0fKb169VRN2bGB5du1bSOjPvpEPRYv/lt69uojP/88XwYNGqjV8L30JYkoOVu/foPUb9Ao2kenzl0lNCxuWwFjK1kF5r1799RoUuOB5si33xmo5nXt2uWpQTdxAeusW6e2eHv7yH6tlmY4ceKkdrV0Xlq0aK5qePaguRj9m8uWLo8MOgwCwmCgV2tUl4IFC6qymKRNm1Ya1K+vmn/RDGxAECOQWzRvrpfYWrDwV3n//SGycuUqFbr169W1qXneuROofsnRT2n9sG76xf5XqlxJ1SbRT4wRzlu2bFUXEsWKFnkhx5yIkp7+/d9S40rswQX9nDkzpVTJiJawhJKsAhMnftzWYDwGDHhH9QdOmvSdqum9KOiPLFGiuGr+xPuhSRIjZzEoqUL58vpST0O/ZstWLeTI0aNy5MhRVYZa36lTp6V582ZPNZs6UrPmq6qpdeWq1WoaFw+bN/+rap4IQ3smjP9GLl44K3v37JTSpUpJ125vyOw5c/W5IlevXZWhw0aoiw7rh/XtOHPn/SxDhgyVLl06yfFjh9X69u3dJfny5ZPub/SSbdu260sSUXJnLzQTS1hCsgpMjM7EbQ3G48D+PbLlv81SvVo1fYkIqdOk1p/FjfTp00utWq/JsWPH5OrVa1rN7I7s2bNXqlapompajtSpXVsFKwIWfY4I/Tx58qgQjg2jaXjHjl3i7+8vZ8+dk4MHD2lltVUN1BH8wo4aNUJefbWGLF68RDUnAwYdbVi/xuaY4tG9e1c1H8thedRMB703UA3yAQT3mM8/U/uBQMVFBBERWIdmYgpLSFaBiWDAbQ3GI2PGjHabBAsWKKBqb3eDg/USW/7+t9QgmgwZM0TbnBpVPS00wsPvq6BEc+zVq1dVgMfUJGkEHW5NOXnylOzZu0+aNGlkt8/REaNp+Pr16+reSNQCPTzSqUA2IJDxPnhEHaCEY4egCwsNlQf6SNnUqVOr7bA+pngYwYgLg9u3A6RkqZJqWWtYJou2vnth9556LyJK3ozQTExhCcl+0I896BvEaNBp06argLGGk/uyZcvF19dX3adotlnUq1AhdW/l9h07ZM2ateo2DTTTxgRB17BBfbUdvy9aJGFhodI0lgNvDOXLl1P3rGK07N49+9ToWetRr7hfcuas2TLkw2FqMJS127fvqNtjEJAuLo5rpIYMGTJoFyWZVLOr9WAjwIjbS5cvS1ptXbFpWiai5AGhmZjCEhiYduBWh5EjR6jm05at2siUKdPUYJZFf/wpPXr0Vn+yrtZrNVWt0SzU0ND8ifBYt369NKhfz3QtsXTpUiroFi78TYoXL66aMp8F+kRfrVlD25e1cvjIEWnd+nWbsEJtuXOnjhIQEKD28+eff1G1Tex3127dVQ23z5u9n7pnNDqowbdt21r2arXiHj17y6pVq+XMmTPyx59/aet5S/2BhAHal8JsLZ2IKCExMKOB2uPs2T+pUPt24ndqMMuIEaPU33odPuxDmTp1cmTTo1m1a9USNzc3NTK1bt06emnMjME/CLc2WsjF1OfoCGqneD1G4NrrB62vBfm8ubPFWVtm9OdfqD8biP1+9OixOh44LrHRp3cv+f67b+XmzZvqT+Q1atxMRo36WN3vOWvmj1KxYkV9SSKixC2FJbo/cqrz8QuQbJ6Z9Knnc/b8ZfEq+PQ9h4kd/gJQcHCIpEmTWjUzJpdbITAYJzAwSNzd3WJ9cWAP/pUS/BnC9Ok9WKskokTJUU6xhmkCwsLRIKGXFULNehDP80KtEutjWBJRUsTAJCIiMoGBSUREZAIDk4iIyAQGJhERkQkMTCIiIhMYmERERCYwMImIiExgYBIREZnAwCQiIjKBgUlERGQCA5OIiMgEBiYREZEJDEwiIiITGJhEREQmxGtgJqd/GouIiJIeRzkVr4GZKlUquf/ggT5FRESUeCCfkFPRidfAdHVxlrCwcH2KiIgo8UA+IaeiE6+B6e7uJkF3g/UpIiKixAP5hJyKTrwGppuri2ofDgxiaBIRUeKBXEI+IaeiE6+BCVkyZxQ//wAJDQ3TS4iIiBIO8gi5hHxyJN4DM62zk+TI7ik3vP1Y0yQiogSFHEIeIZeQT46ksGj053b5+AVINs9M+lTcuRd+X/xv3Ra8vUc6d3FxcRanNGn0uURERC8GRsNigA/6LNEMi5plTGEJCRaYhhCtKhwcHCKh2sY/evRIBSgREdGLgIDErSMYDYsBPo76LKNK8MAkIiJKCuK9D5OIiCgpYmASERGZwMAkIiIygYFJRERkAgOTiIjIBAYmERGRCQxMIiIiExiYREREJjAwiYiITGBgEhERmcDAJCIiMoGBSUREZAIDk4iIyIQkHZgbN26S/AW8Ih9ly1WUo8eO6XOfn6+vn7Rs2TpO12kIDQ2Vrl3fUPtgbcaMmc+0P9jW2rXrPbU+A8oxH8s5guU+HDpcn7KFbcE2GduHbbVm/XnEtO14j+jeh4goMUqygYmT7RdffCm7d+2QixfOqse3E8apgIt6Ik9sEJZ9+/aXHTt36iUREDjTf5why5Ytidyfge8OijHkYNz4CXL5yhV9yhZej2Nlxuo1a6VJ40b61BMIv+7de6ptwrbhuP/22++RAY35Y7743zNtOxFRUpAkAxMn6X1798kff/wuWbN66qUi9erVlVkzZ6gTuXGijlqTwYm9Vu26kbUfo6Zn1IyMZfH6Dh06qeUQwkYwWNei8LCutWFeTLU4hHmJkmXU87x58qifhnPnzkuJ4sWlYIECarpUqVLi4eEhPr4+ahqvxbZim63hfW/euPnU+gwI04qVKupT0cN2Yz1436h2bN+ptq1atapqGse9c+dOKmDh55/nS6VKlaRUyZJqGsvlypVLjh49qqbtwXvheBnH0jjG2A7s5+jPv1Dlxj7js7F33ImI4kOSDEycpHGytg5Lg3GiXrLkH70kekZNL0fOHKpWdPzYYXUSx4kZ60YgIwBQa0IY44Q+5MNhkbUo1LIAgQRY5t9/N9rdLkP2HNnV67777lu95IlChQrK8RMn5PyFC2oaYRMUFCTZsmZT0/369ZWFC38RV1dXNQ0IjTlz5snIkfabN40QsldrjArvh2Nhb/vtvffZc+fUTxxHHDevQoXUNGA5rMsIVHuwr5On/KCO5Yjhw1Qt2AjB69evS3BwsJqH950/f6F6D3xGKMPn//77Q566eCAielGSXGAaJ2eEiz3Gido4mTuyc+cudWIeNvRDNY3Xjhg5TPbu3RtZA7WGQDx0cF9kLQrBYqbmZq1VyxbRBirWP3/+PNX0iVoUgnDVquUOAxgXBq+9VlNbJqte8gSO1Z9/LZYePbrrJY6hhmsdeo7g+OA4Wa876mcS07rq168XeSyr16gmFu0/ozYNjkLeXoATEb1ISXrQz/NCQKA26u7uppeIqs2l90ivT9mHsDAGvyxe/Lde+vzQ5Ip+v3VrV6taVO/ePbUgec1ueAPKDx46pAVsV73EFmpl5cqWjQwlRxCuWBeCKyZ4X4R6l86dTa07LrRu/bq6uEFzdlwP7iIiMiPJBaZRg0TY2WOveTCuGEGJPk1j8Evbtm30uc8H271ly1abpmbUOFELQ/9gVFh+6tTp8s47A+zWsmIK06iMZmCj/zQ6RlgO6N9P1fKsRf1MzNTyzcIxQXM3mmTRl4rPgP2YRBSfkmQNE0111gN7EB79B7yjTuY48V+7fs1UTQlNiBF9ZSF6iagmwcCgQH3KFga+IMAQlAizhIT93LVrtwoO1HSrVK2uRsm+2befqqliW9euXadqZJiPcsxv2KiJ3doZlkdt1FETJ/pDjYsF67A0LmKsA9K4cDHTdxobeC80xRr9x44GFRERxaUkGZgIK/QdYhQrQhMnUdS0UPPBCd26qRA1TYyoNcIVtbXAwCD13BggZAzawUn+67HjbEZ7RoUQwHKAYIqrJlnsA/oirS8EEFAbNmy02weJ7UN/KsIbDwQIRslilDDCDA9jHh4ox3w099rbN4RddP3CgJDFgCesx97FArbRuu/X6B+2N+L2WUQdIWwEZVytn4goJkm2D3PC+G/kk08+UjUr1KAQlIGBETXDr78Zp06wgCZJhKKxHGpReV55Rc1DSM2c+aMKQcxDbQw1Jawb0AxYuEhhtW6sz2jeNGptCBmM7jQCGQH3PM2ECDk0yRrbilohanNGwEUNjbiC7cUxcBQ+ERcagWqbsG3Gw9gebOOnn3wcWeNFuGIErKMBS7ER9djH9fqJiGKSwqLRn9vl4xcg2Twz6VNJA07gS5Ys1U7mnfUSIiKi5/NSBiYREVFcS9a3lRAREZnFwCQiIjKBgUlERGQCA5OIiMgEBiYREZEJDEwiIiITGJhEREQmMDCJiIhMYGASERGZwMAkIiIygYFJRERkAgOTiIjIBAYmERGRCQxMIiIiExiYREREJjAwiYiITGBgEhERmcDAJCIiMoGBSUREZAIDk4iIyAQGJhERkQkMTCIiIhMYmERERCYwMImIiExgYBIREZnAwCQiIjIhhUWjP7fLxy9Asnlm0qcSh/v370twSIh4pEsnqVOn1kttYbeCgu7Ko8ePnlrOmPf48WNJn95DUqaMuG6Ibr0oP3HqtIQEh0ihQgUlW1ZPfY7Iw4cPJejuXXF3cxMnJydVhvUGBgZJ2rTO4uLiosrA0TYZzLyX9UeWIkUKh8eBiIjiRpIMzJ279sjP83+VDwa/K4W9Cumlti5fuSrjvv1BQkNDpW+fnlK9amV9jkhYWJiad0Vb5o1unaXWa6+qcnvr3bN3v8z9ZaF6DSCgKleqIH1791AhdebsOZn4/RTp0b2LVNPf41ZAgHzx1TipUa2qtG/7uioDR9sEZt/rXni4mg9pnZ0dHgciIoobL22T7OEjx1SY5M6dS3bt3iuPHj3S5zyBK4WVq9eJn79/REEUN729ZeHvf0gRLYymTvpW5s6cJj21YDxw8LBs2PSvvpR5jrYpNu/V781eMm/WdPX4cer3DEsionjwUgZmuFYDO3L0mOTLl0eqVq6k1eyuiK+fnz73ifz58mq1OJGly1baNHMaDh46Ig8ePJBWLZuJm6urqvHVqF5VBvTrI3nz5NGXMiembYrL9yIiorj3UgbmjZve2uOmFC9WVLwKFZDwe+Fy4uRpfe4T6T08pGnjhrL/4CE5euyEXvqEv/8tyZAhg2TJnFlNnzx1RjXbon8x/H643VprdGLapti814JfF8ngISPU47MxX8nt23f0OURE9KK8lIG5b/9BrYaWUnJkzyauLi6SOXMm2b1nnxpQExVqcYUKFJAlS5dL2L17emkEZ2dnefjgoRqkAzt27pLFS5bJ/F9/l+UrVqsaoVkxbVNs3qtSxfLStnVL9WjWpJG4uj4ZWERERC/GSxeYGDBz4uQpCQkJUQNsPh79P7l+46Zcu35d/YwKg2naaMGDGt6evfv00givvJJbAoOC5MqVa2q6T6835JuvPpc8r7wiGTNmkLRp06oRtilSppBQfaAOYJSsdROvmW0y816GIoW9pOar1dUDg4IQtkRE9GIl+CjZkNAwCQ4O0QInotnRenO8CubVn9lCU+W8+b+q0aP580cskzpVavHwSCcnT52W7ydPl47t20i9OrXUvIuXLsv4iT9I44YNpGXzJpGjZDNmyCDvvdtfLfP3P8tk+co14uzkFDnqVAXcxEkSeCdQ2rVpJYUKFZB/lq5UTbj9+/aWCuXLRq4LzaJdu3SQHNmyyaK/lsjpM2dl8MABqgkWYRnTNpl5L2OULOaXK1dGrcfsbSVnz1/WnxERJV84Z6ZKlUpcXZzF3d1N3GLRQpdggXkv/L7437qtAtIjnbu4aBvvlCaNPtcxBOaMWXP1qQgYwDNsyCAt+JbLrj17ZeSwIZIzR3Y1DwNuxmthhEDGMhA1MI3A8vH2sblNIyDgtsya+4sKYmwrDnD7Nq/LazVrqAMP3tprps+co25TwTK497KTFo7GMgt/+yPGbcJrYnov3lZCRPT87j94oFV2wiXobrA6t2bJnFE7l0bcR+9IggQmapU3vf3EM0smSe/hrpcmbmhmxUFGQEUH/ZH37z9QQfc8zLwXERE9v8CgYPHzD5Ac2T1jrG3Gex8mapYIy5zaxiWVsAT0VcYUYPhLP88blmDmvYiI6Pkhh5BHyCXkkyPxHphohkXNkiM7iYgoMUAeIZeQT47Ea2CiKRYtwEmpZklERC8/5BLyCTkVnXgNTIyGxQAfIiKixAb5hJyKTrwGJm4dwWhYIiKixAb5hJyKTrwGJm6hMHvrCBERUXxCPln/GdKo4jUwY7iDhYiIKEE5yql4DUwiIqKkioFJRERkAgOTiIjIBAYmERGRCQxMIiIiExiYREREJjAwiYiITGBgEhERmcDAJCIiMoGBSUREZAIDk4iIyAQGJhERkQkMTCIiIhMYmERERCYwMImIiExgYBIREZmQJAPT19dPateuJ/kLeNk8CnkVlabNWsju3Xv0JWMvNDRUbt26ZfOvbqOsa9c31APPiYgo+UnSNczCXl7y3cQJMm3qZPX44IPBEhoSKj179ZFt27brS8XO/PkLpW3bDlpoBuglRERESTwws2TJIg0bNpAmTRqrx9sD+suCBb9Ijhw5ZO68nyU8PFxfkoiI6Pm8dH2YuXLllDJlSsv5c+clMDBIbt68Ke3adZQJEyaKxWLRl4pw9+5deavfAHnn3ffk2rVr0qlzV5nx009y7fp1ad2mnTRv0UpOnz6tLx3h/IUL0qVrdylWvJRUrFRVZs6cJffu3dPnRsD77NmzVzp26qKWK1mqrPR9q79cvHhRXyIC1o332Lp1m6xYsVJq16kvXoWLqWblHTt3PrW9REQvq/PnL5h6JKSXLjBTpEghqVKl0qdEsmbNKrlz55Jly5droXhdL41w9uw52blzl1SpUlk8PDykfLlykidPHnFxcZHKlSuph5ubu760yKXLl+X994dIvnz5ZMTwodq6PeWrsd/I1GnTbcJtzdp10qNnbxXI7w8eJN27d5UDBw5K+w6d5fDhI/pSIvcfPFDb9Ndfi2XS5CnSoUM7efPN3uLj4yv9+r0t+/bt15ckInq5rV+/Qeo3aBTtAxWa0LCEHUPy0gWmv7+/HD16TKtp5hJ3dzcVnq1bvy5+fv5y6NAhfakIy1esEFdXF6lerZoKzGHDPpQmjRtL5kyZZOSI4fLpJx+rsDUEBQXJ2K++lK++/EJ69HhDFv3+q1StWkU2bNgkd+7cUctcvXpNxo79WipWrKDmv/XWmzJ82FBZtvRvyZQpo4wbN+GpgUNXtdrtot9/U03KWHb2rJ/Udq9avVpfgojo5da//1vq/GcPut/mzJkppUqW1EsSRpIOzPv372tB6KdGzeKxd+8+1cR65coV6abV6lxdXdVypUuXUrVC1PyM0a8I1h07dkm1qlUlf/58qiwmJUoUl+LFi+lTIunSpZPatWpJSEhwZH/p/gMHxNvbR97s01vNNyDAu3XrKsdPnFDNutbq1asrGTNm0KdEChf2khLFi2shHMhmWSJKNuyFZmIJS0jSgblv/37V71elanX16NCxs2rjRg2wcaOG+lKihVFGadSogezbt08uXrykyo4fPyHX0Vep1T6tm3AdSZUylWryjSoo6K74aQEMPlpYZs+eTYoUKaymrRUsUEDVLn19fPWSCKlTpdaf2cJyYWFh+hQR0cvPOjQTU1hCkg7MihUqyL+bN8juXTvUY9/eXXJg/x4VglGDDbW48PD7kYNpVq5cpWp9qDXGtZQpUkpKLVyjSpfOXfWPEhFR9IzQTExhCUk6MJ2cnMTT01MNvsEjc+bM0dYWvQoVknLlysrmzf/KuXPnZdfu3dKkSSN1BROX0Ax7+84d8fa+qZc8cUGr3T58+EDSp/fQS4iIyB6EZmIKS3jpBv1EJ23atNKqVUs5ceKErF23Tt1y8lrNmvpcW48tj+Xx4yd/6Sc2KlYsL2nSpJGly5bb9D/i1pOlS5dJ7tyvqP5UIiJKWpJNYEKF8uXF2dlZq+bPlfLly9kM4DHkzJlDbt70Vn/44OjRo7H+U3heXl5aMLeQn3+eL59+Olrde3nixEl1r+euXbtl8OD34rxWS0REL16yCkzcIlKnTh25ffuOqm2i1hkV+jpbv95KZs+eK23bdZSDB21vRYkJ+k5xS8rwYR/Kkn+WSt16DaVZ85Zy6NBhGT/ua5vBSERElHSksMRw34KPX4Bk88ykTz2fs+cvi1fBvPpUwvh8zBeyceMmWbhgvrzySm699Gm4TQQP3J/5rB4+fKjuz0SIZsiQwfRoXCIiShiOcipZ1TDxV3X++2+rqmVa/0ECe9B0+zxhCalTp1bNr44GIxERUdKQLAIT/Yj4gwbtO3RUf62nQ/t2du+nJCIiik6yCMyb3t5y+dJlqVypkvz264IXcu8lERG93JJdHyYREVF02IdJRET0nBiYREREJjAwiYiITGBgEhERmcDAJCIiMoGBSUREZAIDk4iIyAQGJhERkQkMTCIiIhMYmERERCYwMImIiEyI18DkvxBCRESJmaOcitfAxL8Jef/BA32KiIgo8UA+Ofq3i+M1MF1dnCUsLFyfIiIiSjyQT8ip6MRrYLq7u0nQ3WB9ioiIKPFAPiGnohOvgenm6qLahwODGJpERJR4IJeQT8ip6MRrYEKWzBnFzz9AQkPD9BIiIqKEgzxCLiGfHIn3wEzr7CQ5snvKDW8/1jSJiChBIYeQR8gl5JMjKSwa/bldPn4Bks0zkz4Vd+6F3xf/W7cFb++Rzl1cXJzFKU0afS4REdGLgdGwGOCDPks0w6JmGVNYQoIFpiFEqwoHB4dIqLbxjx49UgFKRET0IiAgcesIRsNigI+jPsuoEjwwiYiIkoJ478MkIiJKihiYREREJjAwiYiITGBgEhERmcDAJCIiMoGBSUREZAIDk4iIyAQGJhERkQkMTCIiIhMYmERERCYwMImIiExgYBIREZnAwCQiIjKBgUlERGQCA5OIiMgEBiYREZEJDEwiIiITGJhEREQmMDCJiIhMSGHR6M/t8vELkGyemfSpxOH+/ftyNzhYn9JSP0VKSZ/eQ1KmjMj/hw8fStDdu2K9aylSpBCPdOkkderUMb7e4OPrJ+fOnRc3dzcpXrSIODk5qXKsNyjorqRKlUrctXmGsLB7cuLkSW39D6RIES/JlDGjKre3PYZ07u5qvVG3Cay3Kzg4RO4/uB+5D2Cs193NLXLbAOXnL1wUX2378+XLK7lz5VT7D8a2P3z0UE0bXF1cxEV7EBGRfUkyMHfu2iMzZs3VpyLkzJlD3n/vbfHMkkXOnD0nE7+fIvfCw/W5ImmdneWDwe9KYa9Cdl+fLaunvD/oHcmeLZsKnF8W/i5bt+3QQiStCsC0aZ1l4Nv9pEhhLy0Yw2Tctz9IxgwZ5L13+6vX796zT+b+vEAeWx5rAZdKBWDzpo2kdasWclYL3ajbY+j3Zi+pVrWy3W3KkCG9fDJqmGTOlEkmTflRDhw6LE0bN5T2bV9XAWjsZ4/uXdQ64Nz5CzJtxiwJCLitpsGrUEEZPHCAuGnBamz7xUuX9bkRmjVppNZLRET2JdkmWQTgqOFDZN6s6TLk/YEScCtA1q3fpM+NgDDCfDx+nPq9CkuD9evxMyQ0VDZu+k/Nu3T5iuzdt186tm8jU3/4Vn749mvJnDmzrNuwyW4t8d69e2oeanOTvxsv0ydPlMYN68vW7TvllrZdeF+8P96rfNkykl9bDstg2gg6sN4mPL6foL2vFpYG1DT/27JNhaI9ISEhMm/+r5JOq4WOGztGrWPoB+/J9Rs35J9lK/WlImA7jPfBg2FJROTYS9GHWahAfsmRI7sKp2eRO1cuFUzG6x8/fiyWxxa5cydQBSRqZp9/MlLVMI2mTWtYBq9B7S1cq1limQ7tWst348dKliyZ9aWeX/ZsWSWLZxZZvGSphNuprZ4+c058fX1VzTarp6cqK16sqLzTv6+UKFFMHj16pMqIiCj2knxgIqzQ5HnzprcKTWsLfl0kg4eMUI/Pxnwlt2/f0edor9Me6Mvz9vGR1WvXyQ3t9QULFlDzCuTPJ1WrVFK1xv7vDpb/jR0vR44es1u7BPT9NWnUQHz9/NV7DR/1qSxfucZuqDmCsJ009cfIbZ74wxRVezU4azXQVs2byuUrV2Xbjl166RO379xRy+TKmVMviei7LVG8mJQtXUr1uRqOnTgR+T54HDh4WJ9DRET2JNnARH/gV998K736vi3fTZomefPmkaaNG+hzI1SqWF7atm6pHuijc3V9MqgFYTZl+k8y4qPRsnL1Onm1elVp1KCumodBNT3f6CrfTxgrHdu3VUH5w+TpsmTpcjXfnsqVKsjk78apWmi+vHllxao1qq8QtU6z8L61ar4auc1169SSNGnS6HMjYDBR9apVZJW2zRjUY83ZyUmr6VrkwYMHekn0cuTIEfk+eOR5Jbc+h4iI7EmygYma1LsD3pJvx32p+g1HDvtANZ1awwCdmq9WVw8EGl5jMPoLv/lqjBq8g5AxamCowe3Zu18tX08LrY9HDpVSJUvI0WMn7AYgRqru2LlbNeGWK1taBvTrI927dJTr12/I1WvX9aViliplSilTumTkNketFUJKrcbYvGljLVxTycbN/6masiFTpoxqwJJ1HyeaYafPmC3faxcV1oOOMmfMGPk+eMRl0zER0csowUfJhoSGqVsmQsPC1cndenO8CubVn9nCiNKf5/8aOeo1KmP0aLs2raRcuTKqDE2Txi0ZUV+/bMVqrca2NnL60JGjMnX6THlNC5LGjeqLv3+AzJwzT/V1Dnq3vxoBaz1KNigoSKvtThTntM7Su0c3LWid5PdFi+Xi5csyYuj7kiP7k6ZijHZF0+mwIYNsbuPANmHATt/ePSR//oj9tr6tJOrrdmjLz5k3XwWkMdIWz6f/NFuOHz8prVo2kzKlSsq/W7bJ5v+2yustm2u17IaRo2Td3Fyll7atBrO3lZw9bzu6logoKUEWoCLi6uKsbgt0s2p5jEmCBea98Pvif+u2CkiPdO7aydpZnKI0P0bHbGA6uq3E+vXo2/x6/EQ1UGbQwAEqoFasWisrtRBF0y0OcJ48r2g12r7qthUjdKxvKzl1+qzMnvuL+Pn7q2l8EG907axqttYcBWZMt5VYv84Ix/0HDkUGJuBe0Pm//i67du9VA5FQS0ZzNAYCYb+MbedtJUSUXN1/8EA7F4ZL0N1gdX7PkjmjlhFP7mWPToIEJmqVN739tPDJJOk93PXSxAeHBgODcC+m9R8GcASB9OjRY5s/aJAQEJb37oXb9NsSEZGtwKBgraITIDmye8ZY24z3wETN8tp1b8mpbRxP5kRElNBCtUrcDa0SlztXdoc1zXgf9INmWNQsGZZERJQYII+QS8gnR+I1MNEUiwptYm6GJSKi5Ae5hHxCTkUnXgMTo2ExwIeIiCixQT4hp6ITr4GJW0cwGpaIiCixQT4hp6ITr4GJ+yzN3jpCREQUn5BPjv7mdrwGZgwDcomIiBKUo5yK18AkIiJKqhiYREREJjAwiYiITGBgEhERmcDAJCIiMoGBSUREZAIDk4iIyAQGJhERkQkMTCIiIhMYmERERCYwMImIiExgYBIREZnAwCQiIjKBgUlERGQCA5OIiMgEBuZLAP9+27p169WD/+YoEdGLkSQD09fXT2rXrieFvIrKwoW/6aW2jh47JmXLVZQZM2bqJS+v69dvyOdj/iejPvpEzpw5o5eaEx4eLv7+/vLw4UO9hIiI7EnSNcxHjx7JtOk/yuXLl/WS5ClXrpzy2acfyxdffC6FChXSS83Ztm271G/QWE6eOqWXEBGRPUk6MEuXLq1+Tp06PVnXkFKkSCENGzaQJo0bSapUqfRSIiKKS0k6ML28CkmvXj1k5apVsn7DRr3UMdRKV65cJU2btVBNuuUrVJKRoz4WPz8/fYnobd++Q2rVritbtmyVX+YvkIqVqqp1tG/fSfbs2ftU/yGmUd6xUxcpVrxU5HvdvHlTXyKCsV70QX7xvy/Vsh8OHa7mRV1HyVJlZfDgD2zWERoaJoMGva8eeG7AMng/vC+2s2WrNrJj5061TuM1I0Z+JMHBwfLWW/3VNmBbDNavx3tjG6Lu5+nTp6V5i1aydes2WbFipdSuU1+8ChdTx9d4L2v2jv9no8fI7du39SUimD12RPRyOH/+gqlHQkryTbJt27SWIkWKyPffTxJvb299jn04Cc+ePVcGvz9EPDw85JOPR0njxo1l+fIV0rXbG3L9+nV9Sfvu3bsnV65clQULf5U5c+ZJp44d5IMPBquw7dGzt6xZu05fMgKmUX737l0ZNWqEdNSWRyi2bddRzp07ry/1ZL1ffzNeNm7YJK1atpBKlSqqeRs3blLrePDggYwd+6UM/fAD2bN3n/Ts9abV/lrE3/+WeuA5YB6Wwfu9887bMmHCOG2f00mfPm+pdaZKlVJKliwhxYsXk5QpU0rZMmWkRo0akiFDBvV6HAu8L16P7cb2Yz+6dO0uixb9oZaB+9p2Xbt2Xf76a7FMmjxFOnRoJ2++2Vt8fHylX7+3Zd++/fqS9o9/06ZN5J9/lqpgtD7+Zo8dEb0c1q/fIPUbNIr20alzVwkNC9WXTiDaScwhb99b+rPnd+bcJf3Z89FOxpZatepaunTpbgkJCbFotRtL0WIlLWO++J/l8ePHapkjR49aypStYPnxx5/UNOzff8Ci1dAsWk3FogWQXmqxHDp02FKhYhXL8BGjLA8fPtRLn7Zhw0ZLvvyFLA0aNrZcu3ZNL7VYgoKCLNqHaWnStLnF399flWkBaKn5Wu2n3uvSpUuW6jVes2i1u8j3Mtb79jsDLWFhYaoMsC9auFi0mqElICBAL9X27cgRy4dDh6mfgGOAY2EcD1i9Zq2leIlSlh07dqppwHZ+8slnFi3cbN4bxwnHy4B52L6o+4n9eHfgILVf2D8wjnPrNu20bbytyuDgwUOqfPTnY/SS6I8/li1XvpJlwrcT1XRsjh0RvTymT5+hzoVRHxUrVbU5R71IjnIqSdcwDdWqVZV2bdvIH3/8ZVOjiWrTps3i7OwsPXt0l9SpU+ul6AstJc2aNZVdu3ZrtUV/vTR6bdu0kVy5culTIunSpVM1INR8Tp06rcr2HzggQUF3pXPnjjbvlSdPHqlfv54cOXrsqWbINq1fl7Rp0+pTEX2T2F5fXx+txuijl4qUKlVKxo/7Rv2MTlrtdffvP5Bz589HNotiO8eMGS1ttWPlqK8To25Ri426n9gPHGcco/Paeq3Vq1dXMmaMqJ1C4cJeUqJ4cblzJzDy/aM7/mXKlJbdu7bLkA/eV9PPcuyIKOnr3/8tGT5sqD4VIUuWLDJnzkwpVbKkXpJwXorAxMm/X7+3xNPTU8Z+/Y12Mr2jz7Hl7eMjhQoVtAkBQDAVKVxYO7nfET//mPsysY6oChYsIK6urnL58hU17aMFHPoG+/d/R/UNGo/aderJ8uXL1Xvh9piYdO7UUR48eCgtWr6u+v0mTJiobplBc7QjFSqUl6pVq8inn44WrVYmQ4cNV02xoaExN2kEBgWq5WbNnmOz7XiMGDlKNQ+fv2Dbl5A61ZNgs+br4ytarVk9d3T806RJo0/F3bEjoqTHOjQTU1jCSxGYkDt3Lvng/UFy7Nhx+X3RIrQ163NspUqZSp2go8qUOZP+7PmE3Xsy6MbFxUUqV66k+gatH+g3ff31lqofLyaofa1ft0Y+/miUWt/sOXOlZcvW0qv3mxIQEKAv9TTUJufOmSWzZs6Q8uXLqbB8s28/qVuvgezVao9moH8z6rbXqVNHOnRoLwULFNCXip3ojn9UcXHsiChpMkIzMYWlohpmHUgKfZgGo4+tStXqqp8uah8m+tPQN3bz5k295Inx47+1VKte06LVEPWSpxl9jQsX/qaXPLF+/QZLIa+ils2b/1XTWAb9csePn1DTjhjrxc+YYB8XLPjV4lW4WOS+2evDjAr9oUePHnvquNnrwzx79pylcpVqFq2GqZdEz15fMdjbJkfH31psjh0RUVx66fswDejvGjjwHfV8+o8z5MGD++q5oXatWqr/bePGzXpJBPylG9yWUqRIYcma1VMvjd7yFSvU6E3Dw4cPZemy5ZIjR3YpWDCiubZixfJq9Ol/W7ZE9uEBmlJnzpqtbq24f992+6LC6FncvvLHn3/pJRH7WLPmq6qpwtsn+lHBuM1j4nffR24nanXFihWVEiVLSMDt2+ov/BiwfVqi6lMRtfXixYuLFqY2+wn4QwdaOJq6DSeq6I4/bhVBrRnHBeLi2BERxbWXKjChsJeXvPlmH7l06bLNPYlQpUplFTbo55w0aYq6jQHNk737vCW3bt2SwYPesxl0Ex3cMoFbI06cOCkXL16UTz/7XNasWSvdunZVYQNe2na0atVCvv32O9WPiOXwGD16jHzzzXg5cPCgTb+dPZh/YP8B+eqrr+X33xepW0Xwnp+P+UINeqlXt66+5NPQzzd9+gxtX8ep98W+TpkyTQ28qV69auTtIxkzZhSt9imzZs+Vw4ePqPXiGPTp3UsOHTqsbu3AMcJ7L/rjTxk0+ANZtny5CrTYiu749+v/jly5elXKlS2jlouLY0dEFOdQzXQkKTXJGlD2Ro9eqpnTXlMhmgYLFioSOWS5Xv2Gll27dutLRM9oOv377yWW994bHLkO3NIyecpUm1sgANM//TTTUqJkmcj3wrJffzPO5vYRR02yvr6+lgED3rHZ3qrValiWL18ReQuNvebP6N4bt95YHzMsN3ny1Mj1Wzc345jg2BivxzK4febq1Se3msSmSRbw3MzxN3vsiIjikqOcSoH/6dlpl49fgGTzjJsBMWfPXxavgnn1qYSFJsnAwCCtppJa1bbMDEQxBs5gIA1uowgKClJNg3i99e0PUaEpETU+HOqYlo3Os2wvmH1vNCsHB4dI+vQeT60b+3nvXri4u7upkcBxwdiftGmdHQ7giYtjR0RklqOceumaZM3C/YDor0STpNnwiQonevQlxnQSx20vmTNnNrVsdJ51e82+N+ZlyJDe7rqxn3jvuApLMPYnptGucXHsiIjiQrINTCIiothgYMZC9uzZpXPnTuonERElL8m2D5OIiCgq9mESERE9JwYmERGRCQxMIiIiExiYREREJjAwiYiITGBgEhERmcDAJCIiMoGBSUREZAIDk4iIyAQGJhERkQkMTCIiIhPiNTCf9Z/RIiIiig+OcipeAxP/tuH9Bw/0KSIiosQD+YScik68Bqari7OEhYXrU0RERIkH8gk5FZ14DUx3dzcJuhusTxERESUeyCfkVHTiNTDdXF1U+3BgEEOTiIgSD+QS8gk5FZ14DUzIkjmj+PkHSGhomF5CRESUcJBHyCXkkyPxHphpnZ0kR3ZPueHtx5omERElKOQQ8gi5hHxyJIVFoz+3y8cvQLJ5ZtKn4s698Pvif+u24O090rmLi4uzOKVJo88lIiJ6MTAaFgN80GeJZljULGMKS0iwwDSEaFXh4OAQCdU2/tGjRypAiYiIXgQEJG4dwWhYDPBx1GcZVYIHJhERUVIQ732YRERESREDk4iIyAQGJhERkQkMTCIiIhMYmERERCYwMImIiExgYBIREZnAwCQiIjKBgUlERGQCA5OIiMgEBiYREZEJDEwiIiITGJhEREQmMDCJiIhMYGASERGZwMAkIiIygYFJRERkAgOTiIjIBAYmERGRCSksGv25XT5+AZLNM5M+lTjcv39f7gYH61MRUqZIKenTe0jKlCklODhE7j+4Lx7p0knq1KnV/IcPH0rQ3bvi7uYmTk5OapkHDx5EvsZgXf748WOb1xjrMA5ZihQpbN7DgPk+Pr5y/sJFSZfOXYoXK2qzjLEepzRO4u7uppdGvPejR4/EwyOdWjemw++Hi7OTs81yxuvBeP+4OCZhYWESqj2isl4PEVFylSQDc+euPTJj1lx9KkKGDOnlk1HDJHOmTDJpyo9y4NBhadq4obRv+7oKnzNnz8nE76dIj+5dpFrVyrJqzTpZtnyVfDD4XSnsVUitIyQkRMaO/07Se3jIB4PeUYFn/RpjHffCw9XygCAb+HY/KVLYS01jHdi2o8dORAZr1GWM9bi6ucqwDwZJ9uzZVDm2+/adOzJsyCBxcXGJ3I/cuXPJyKHvi5sWbLD5v63yy4LftCB1itz+uDgmfy7+R1auXqu/+gnr9RARJVdJtsqQ1tlZRg0fIvNmTVeP7yd8bXNCR23ovy3b5Nz5C3qJrRLFi0kqraa1d98BvUTk8pWr4uvrJ+XLlZFUqVLppU/r92Yv9Z5f/2+0FobuWsisUzVD+GfZSvWe7/TvK3NnTpPvxo+VrJ6eMmfefLl9+45axhB4J1CWLFsR+Vp7PLTwDgwMVNsGWPbgoSPirO1/VM97TBCkeN23475UIdmsSSO76yEiSo5e2ja27NmyShbPLLJ4yVIJt6oRGnLnyin58uaRk6fPqFohIIhcXNJK8WJF1HRMsmnvkT1rVrl7965qEr2jBdvhI8ekTOlSUqF8WVWLy5gxg7Rr00qbF6Tey1rFCuXl8OGjckh7RAchiHDctmOXmr52/YZcuHhRihUtrKZjI6ZjQkRE0UuygRmuBdSkqT/K4CEj1GPiD1Pk3r17+lxRIdOqeVNVMzPCxhpqkBUrlBM/P3+1DEITgZY3Tx5VI3QEy/r5+8vGzf/JmXPnJFfOHJI2bVoJDQ2TsHthUqhgARWWBgQrgvi6FnbWSpYsLiVKFJO//1kmQUFBeqktNzdXKVqksJw9e14Cbt9WgYxtz/PKK/oSTzzvMSEiougl2cDEwJVaNV+Vtq1bqkfdOrUkTZo0+twIRYp4SfWqVWTV6nWqqTWqotr8tGmd5fiJU3L9xk25deuWVK1SyWFzLCz47Q8ZOuITWfDrIvEqVFA6d2ynAjJNmtSq2TNq7Q2Dh+x1FafW3qfN6y21GmqwrF2/SS99WlmtxhocEixnzpyTY8dPqEFECOGo4uKYEBGRfUk2MFNpwVSmdEmp+Wp19UCoRA26lFqINW/aWAuSVKo2GDWysmfLpmqDJ06ekqPHjou7m7sK0ZigD3P65ImSP19eFY7GqFNXFxdJly6dnDx5Wo1ANVy6fEWNQC1YIL9e8gRqp40a1tdqfDvlprePXmoLr8uVM6ds3b5DfP0i+lif1F+fiItjQkRE9iX4KNmQ0DB1y0NoWLga0GK9OV4F8+rPbGFE6Lz5v0rf3j0kf/6IZaxvfYg62nSHtjwG3SDEEHYYEWrYu/+AzPt5oaqJFStWRN7q0zOyOTXqKNKo03jtzNnz5I2uneXVGtXUazCoZr5W8yxXtrRq/kRY/vX3UsmcOZN8+P5AtT1R14MwnfDdZDUqFyFsPUrW2I/1G/+Vf5atEM8smWXk8CEqlH/WjoH1KNm4Oia3AgLki6/GSY1qVdVAoNg4e/6y/oyIKPHB+R0VCVeXiNv13Fxd9DkxS7DAvBd+X/xv3VYB6ZHOXTuJO4tTlObD6Ji5hcI6HBAK03+aLfsPHHoqHNAvOPabiRKghUT/fn2kUoXy+pyYAxO1y+8mTVVNqsM/HKxGtGJ/tmzdLr//+bcKQoRViWJFpVePbpIpU0a764WTp87ID5OnSY4c2e0GJgYUfT3+O6lcsYJ07dxBHYOogRlXx+R5ApOIKLG7/+CBdn4OlyDt3I0AzZI5o6R1dtLnRi9BAhO1ypveflptKZOk93DXS18+uF8TFwEITSIiSnwCg4LFzz9AcmT3jLG2Ge9nctQsEZY5tY17mcMScEsIw5KIKPFCDiGPkEvIJ0fi/WyOZljULF1j0W5MRET0oiCPkEvIJ0fiNTDRFIsW4Je9ZklEREkLcgn5hJyKTrwGJkbDYoAPERFRYoN8Qk5FJ14DE7eOYDQsERFRYoN8Qk5FJ14DE/dZmr11hIiIKD4hnxz9YxjxGpgx3MFCRESUoBzlVLwGJhERUVLFwCQiIjKBgUlERGQCA5OIiMgEBiYREZEJDEwiIiITGJhEREQmMDCJiIhMYGASERGZwMAkIiIygYFJRERkAgOTiIjIBAYmERGRCQxMIiIiExiYREREJiSLwPTz85NZs+eon8kB/j23devWq8ez/BukoaGhMmfOPLl48aJeknzt27dP/vxrsTx8+FAvoecxY8ZM6dipi3h7++glT+D3ztfXT27duuXwH/EFfB7+/v7qEdNng3VhnVg33iMmQUFBprfDDGN9+JlYGMf69u3bds8Ri/74U1q2bC3nzp3XS0jRDpZD3r639GfP78y5S/qz5+Pj42upVauuJV/+QjaPgoWKWJo0bW7ZtWu3vmSEid99r+Z/9PEnesnzCwkJsWhfVov2ZdVLEo+rV69Zqtd4zVKhYhXLqVOn9FLzli1bro5Xj569LdoXSy+Ne0M+HKY+R3yeiVFgYKClTdv26vfq33//00sJ8HuP3398D8y6cuWqpeZrtS2ffva55fHjx3ppxHdp+IhR6jgb3+XyFSpbli9fYbMcYPqX+QssJUqWiVwWz1EWdVnYvmOH5dWatSKXxXsMGPCOxdf36d+5CxcuWFq3aRe5LB716jd86nxi1s2bNy3tO3SyWR+mUW7YsGGjzfyojzJlK1iOHD2qLx2zsLAwy1djv1b7ae+1Wmhb3ntvsM2xxj4eO3ZcXyJCdJ9VcuAop5J0YDZs2MSyZMk/llWrVqvH1GnTVXnRYiUtW7du05e2qC/HzFmzLTdu3NBLnt+PP/6UaE/2+AVfu3adZdXqNc8U6DiBzZ4913LmzFm95MVI7IEJe/futWhX2+pERE8Y30F8D8xauPA3S8lSZS379x/QSyKC9+OPP1Xf2WnTf1Rhcvz4CUvvPn2f+h4DfqdR/la/AZazZ8+pB54jAHAusIYQwEVji5atVXBg3b/99rsKkr5v9bf5TC9duqQuMl+rVceyes1atX87d+6yNGzU1FKlanXL6TNn9CXNQTB1695DvdfixX+r9eEnphHKAQG31XI3b3pHnr+sHytXrlLhWrlKNbWPZuBC+fXWbdUFRNeubzwVmA8ePLCMHPWxzbHGhSD2GfuOY2DAOQRhWat2PbWNyclLG5hdunR/6goXvzR16jZQX7h79+7ppXEvMQdmUpEUApPsM76DZgMT30V8J3FCv3Pnjl5qUWGAUJjw7USbmoyfn58Kq6FDh0eWI4Tatu1g6dS5q3puwHOUYXm8zjD68zFPBQH8/Mv8p8IE+xG1DHbs2GkpXqKUZdbsOXqJOWilQTChlmwN016Fi6ltcAQBjaCOTQ0P3yfUFg8fPqxqrlH3BxcquGBBWFqv8+DBQ2rZqO+1fv0GSyGvoupncuIop166PsxcuXJKmTKl5fy58xIYGNFnsH37DqlVu676CaGhYTJo0Pvy5ZdjVT9dl67dpVjxUlKxUlWZOXOWaF9utZw96NfQvpwy46ef5Nr166JdLUrzFq3k9OnTar52TGXPnr2qnwbr1H5BRbuajVV/oHblJ9qVoJSvUEm0X1hp2qyFaFe9Nn0NeD+877x5v6j+We0XXrSrStU3YewfHnhuQF/PL/MXSM3Xakeud/fuPaJd+at9wr6BsW6UG3CssL7Lly/L4MEfqP3C44v/fSnBwcH6UhHQ76NdIat1POsxiMr6mGCdOL44ztbHBJ8v3vPosWPqmFSrXlPtZ+cu3UQ7MetLiZoXXf/MmrXrpHad+rJp879qGvtt79jYO+5g7DuOLd4b24vtjtp/bnZbwdgGrcYk3br1UMtVq/6qaLUD9buK31lsB8rbt+9k9zibOX7Gvmm1OlmxYqU6DtrJXe3Ljp07I5fF7wV+7/H7j+8BvlvYRke0gJWTJ09J2bJlJH369HopficfSIMG9aVxo0aSIkUKvVTE1dVVsmTOLNev3xCtJqjKjhw5KloASMeOHSRdunSqDPAcZdjv06fPqDKtNiW5c+eWnj26S/bs2VWZIVfOnNq5IVB8tW0ydO7cUTZuWCvFixXTSyLkypVL294M8vCB+T7s8PBw+WfpMilatIjUrPmqXhoB0yVKFJf//tuilrMHx3nRoj+0Y/NIunbpZHNcHGmoHcd/liyW0qVL6yW2lq9YoY5Vs6ZNbdZZqlRJqVGjuvp90C5m9FKRkiVLSI4c2WX7jojz5ot2/vwFU4+E9NIFJn4RUqVKpU9FwEnlypWrVkFoEX//W6JdWcng9z+UfPnyyYjhQyVrVk/5auw3MnXadJsTibU0adJI+XLlJE+ePOLi4iKVK1dSDzc3dzUfJ9wePXvL3bt35f3Bg6R7965y4MBBad+hsxw+fEQt48h17SSE12PAzuuvt5JPPh6lygcOHKSdGGdHbtd97YRw7dp10a5URbs6Vied2rVf0/c9Yv/wwHNAWGpXkDJmzP8kb568Mubz0drJq6wMHTZc/v3vP/G+6a2d7B+rZY11Wwfhbe2LdPbcOflgyFB5qIXCsGEfStkyZeTnn+erEzHWD9i+b74ZL4O0UE2ZMpWMHv2pvP12fzl75qx0695TBW5sWR8TnBhHjRqhji8udHBiMeDzvXr1mkydOl2Waies/v36SocO7eXo0WPSs1efyPfG53fx0iVZsXKlmjYg7LQagDg7O0tp7SQC2G97x8becce+z549V/udGiIeHh7qs2vcuLFaZ9dub6j9MJjdVsA2nDp1Wj4cOlwLsEJqvc5OzjLmiy9l5MiPtBPhKnVM8Lt28tQpeefd9yIDHsweP2Pf/vprsUyaPEXbnnby5pu9Vdj16/e27Nu3Xy2Hi1L8zuP3H9+DGjVqaGFdSM2LztWrV9UAnSpVquglEYoWLSr/+2KMChFrt24FyNVrV6VwES8VnnBKC3Q8L1iwgJq2hjLMwzKA72mf3r2kb9831edpDRcp+K7nzZtXLxH1eWXWAjrquePAgQPqYidnzhx6ScxwbC9evKRtU0GbiwPANMoxH8vZg+8ZLrqaNWsqXl5eemnMGjZsIO7uEeehqHDhjAvE/Nq5LkuWzHppBOxz6VKltM/ZR7uw8tZLcUzSq2OE11lfeL8oWk1W6jdoFO0DF42hYTEP2nqhtC+5Q0mtSdZoyrGeZ3Ss4yegHPPRPKFdVakyMJp2GjdpbgkICNBL7bPXJGt0lKPvwrrJ6Nq1a5YGDRvb3V5r6M/RanGq3+XQocN66ZO+B+smFvzENJq4tJOjKjMY+2f9fugLQhNR1KYvDIrAcbDeF2Pd1s1taO6J2k+E7UKTmXU/C/Z77NffWLQah5pvMJqD0I9lwDpjapI1jgmOH46jAet+d+Agdbxx3MH4nFFu/d5GM5jx3ui70kJJNe9Zf05G8yCa8gxRt9HRcTf2EZ+V9fvjs8RnioEt2B8wu62AbUCZ9cAjrTZlqVqthqVlqzY2v6v4fLSapmXz5n/VdGyOn7Fv1n1sYDTZWR8X4zto/TviCPandJnyqrkwJti2qL/vgPfC9qLvLSpje6y30R57n0VU2N8l/yy1aBce6rh/+dXXNp9RTIxtmTJ1ml5iC/sRXd8kvptjvvif2katxq+Xxl7UJlnjnKBdzNlt4sXy2Ndt27brJRFwnGL6jsal6dNnRA5Gsn5UrFTV5nfhRXppm2Tv37+vrv4wPBqPvXv3yVv9Bmi1yStabaZr5JVpdHBVW7z4kyYYNFfUrlVLQkKCo20ucWS/djWK4fJv9ult02SEZp1u3brK8RMn5PyF6JsU0Py0R9sHXFmWLl1KLxVJnTq1alrCzx3bd+qlEdCUlSlTJn0qehs3bZKMGTNK+3btbJpjKpQvr2oLZuAqu2rVJzUEbE+jRg212lK4dgUaosqw3yOGD1O1GMw3ZM+eTTJkSB/tVXV0jGPStk0bdRwNWHe7tm20z99fzp+3bVrF8bN+78qVK0vOHDm0mtptNZ02bVppUL++Vhs7qZohDWh2xJV0i+bN9ZLo2TvumzZtVrUZ47My4LPENu3atVttr7WYttWAsmJWzYVZs2aVAvkLaDWQQupzNRQsVFDc3NxUbRme5fjVq1dXW2cGfUqkcGEvKVG8uNy5Exhty0tM8LljuzJkeLKt9mD9uKXpzz//krcH9JeSJUroc0S1CqRMkVK1XETn7l3b7gFrqGmjRSVTpowy8N23n6pNGhYs/FXef3+IquXh/FBfOx7Wy+I7vnr1mqcexq0yqEkHafubOtWTzzWq8PD7Enbv6Vrb2bNnZenS5XZrlzG9ryPoMrjp7a32I7omXu2iwKoVLgJqpNgX7FN86N//LRk+bKg+FSFLliza78RMKVUyotUnISXpwNy3f7/qZ6lStbp6dOjYWbVxf/XlF9oJraG+VPRSaV88e788QUF3xe8ZfkF8tF9cBEORIoX1kicKFiigfmmt+02iCgwKVMtUq1b1qe3y9PRUDzTXPAucSPLkeUUyZ7Y9yeMEj3IzojtZabU0myDAyRrNXt99/4N0f6OnvFarjtSr30g198WWcUzQz4e+MuvHiJGj1Jc86kVIGqsAsoZmMAP6ktAEt3LVajWNE4VWK5OKFSvYXETFhrePjxTSAss6mACfZZHChVX/kJ+/bV+mmW19Hs9y/KI70eN31+hPfBZOadKoixVH0KWB35v27dtJ7949bb4HOHk/tjyWx4+jvzcye7Zs+jNbCOwRIz8SreYs48d989RnZG3C+G/k4oWzsnfPTtVUieb02XPm6nNFjh8/Lm+/M/CpB8oBJ3gP7cLx4aPo+z1xMZ/ew7a5FhcLC3/9XbuYSSVdu3Z+6hwQ0/s6gvfLkT27+m5Gd9Hj6uoi6dN76FNPaDVSeeTgmMc169BMTGEJSTowK1aoIP9u3iC7d+1Qj317d8mB/XukdevX7QZhfIguVNKlc1d9PmbYO4k6OTnZ/WVObHByRh8eBtX8/fcSyaadwLp17SpTJv8guXNHf5KKCUIMfWXWjzp16qh+P1yMxBa2Ba/fsWOXunrGhQj6tOvUqR3jSd2R6C7CMkW5UIlvcX38nkVMYYewHDp0uDRp0lg+/mikTc0b0HqBgXy+vk9fdPr4+sidwEDJqNUeo0JYDhr0gRp09MP3E9WgQDNwskZLyauv1pDFi5eom/wB08Y5x/qBckiTJrW4aAGFvj974YTfNfyOIaCsoXYZ2XdZ6Ok+4Zje1xHULNO6pFWDv/AdjQrb6uyMbXLTSxKWEZqJKSwhSQcmQgS1LnTg42Gv0z4+4QutBol439RLnrig1RgwItBR6LmkddF+aZ0iBy5YwyAIDFyK7go6JghsvB7rsYamZ5THFYy0W7NmrYwcMVy2/LdZXa2/9dabUkq7UkeYxJZxTF57raZqObD3qF27lr60eQi1ulo4opnu+PETsnHjJvHwSCd1atfWl4g9HGMMVEGNO6pjR4/ZrVW8aC/q+MVWai1EHLXcYEDcxx9/KuXKlZXPR3+qjlVUhQsXUt+hQ3YGz6FlCUFQtEgRvSTCw4cPZezX42Tnrl3yxRefaxcK1fU5T6DWheZyPIymbAOCDeeVMG3dD/SRsmiVMc451g9jcBEGEBUokF9OnDhpM/gKMDoXTeD58+dT5wuDde0SA7PsXXTF9L6OYJliRYuqYLQefAbY5yNHj6qLW4yKtebt4y0Z0qeXbFmf7bzzPBCaiSks4aUbJRufol4xV6xYXo3OW7psuc2VJZr7MBIyd+5X1Ijc6KDWU7x4cXWVGfWLhpGsqAlVqlRRL4mdenXrqivk+fMXRI5oBdw+sWOHbb/o88CXz8kpjZQvX9bmS3/y5Em5oV3dxpZxTDZs2KhqCta2bduuRqpGvWXDrPLly6kTLEbL7t2zT42ejc1oyKjQ/42m6Y0bN+slEfC5rde2v0iRwuoEF59e5PEDR82O1nCcEWjoU43qqHay7td/gBQrVlSmTZ1sEyTWimjrKFa0mPzzz1Ltd/nJ7Q94/ssv81XzqXXfP37PP//8C+27t1QmTpwgTRo30ufYwnIzZ82WIR8Ok2vXrumlEbDuCxcuqNqmi1ZDMwMX7egSwutwjK2h2R+3B73eqqVN0MVUu4wLdevWURfIy1estDk/YRT/li1bpVGjBjb94cbFdHYtRN3cHI8HSS4YmM8IJ1YMwZ4772f1hcfJAJ30rVq1ULdafPrpaHVfGK4yMcwfV6+DB7+nvnjRwdUshsKj/wr3LWIQE64Gf/hhsowd+420a9fW7hWyGRisg0Ee2N6WrVrLqI8+Ue/x3Xffq+a6uPJKnlfUCW/c+G/Vvnt7e6u/S/nJp5/pS8SOcUwOHTqsbo3AMTHWiVtXli1fLilTPtuvMbbz1Zo1ZPXqtXL4yBHVlP88LRRVqlRWfaNjv/5GJk2aoj47bG/vPm+pC6DBg957rubeZ/Gijh/CA7/LaKrEyTame2xxK0XOnDll9+7dekkEHCMEFQZboaaLgDEGs+Bh3GsK+Lz6vNlbNa32ebOvupcRDzyPKHsy2A6BgMFDv/2+SLvIrCSWx49t1osHaluA4OrcqaMEBARIjx69te/vL+r7imPUtVv3p9ZtBvYF37mPP/lM9ckiJPET0yi3rtWbqV3GBVxMtGjRXKZPn6G+/xhngPuy+w94R9Us22vnF2s++r2zuJDBgC1iYD4zjCRs/Xordd9d23YdVf8XftHRFDl82IeyRLsKrluvoTRr3lKdrMaP+9rUQCT0R8ybO1s162EQ06s1a8vkKVOlU6cOdvt1zMLrcE/k5Mk/iKuLq2zfHnHlO+PHaZI/f371PC4U1i4avh77lWoiw77jhvwp2vbjnlSM9HwWUY8J1vmR9oXH6M2fZvyomsyeVdMmjVWoYLQpbqp/HljP9999K+3bt1X3MeKzw/ZiBPHUKZNM953FtRdx/BAeHwwZrPYNQfy/L8c6HFnu6ZlFymr7b/QZG3B/Kf5QA2q///vfV08NaBk9eoxqyjXgO4Rjib443K+KB55H/X5hcBLCFC0e+ImL1qjrRjO8oX79euoYOWuf4WitVoo/IDFixCjt9Y+17/hPpr671nB8Jk/6QY2wxb22LVq+rn6ij3zit+Ntwjc+apeAc8Cnn3wkffv2UbV0jDPAfdkFtO8/zgNRB0IdOHhQfVb169XTSyiFdnXjcJy4j1+AZPOMmwELZ89fFq+CT24WfhngJIEH+i2soZkHoyIRohkyZIh1zQUfC16PfhP0e5rpp3hWuCF+n1bz+OOP3+OsyfB59z86OOnjNhZ3dze7/VyJBX4nMEAFA0Cw/y+q1hBbcX388HuK/cT6YrqYQ3ChNjPum7GqpvM8jO8HxPXxNT67uDpGxvpe9Pc4NozvJ/bP3j6iVj/g7XflrnaxMnfurFjVrpM6RznFGuZzwhcgalgCTh5osnrWgUg4AaA/wWynfkxwDx2avjAS0RqaxI4cOaLu34vLUbjPu//RwbHGMUnMYQn4zLCd+AwTS1hCXB+/iAui9DGGJaD/Hf3Efy/5J7KZ9VkZ348XcXyNzy6ujpGxvrj4HscV4/sZ3T6iOwV9m926dUlWYRkT1jCTCTR5oRlq585dUqVyZcmbL6/6ww8YhIArYAy3RzMz0YuECzQ0w+KPZfBEnHihzxXNsehvje9+94TmKKcYmMkIrurxjyH/+cdf6oZ2QHj2799PDYMnIkruGJhEREQmOMop9mESERGZwMAkIiIygYFJRERkAgOTiIjIBAYmERGRCQxMIiIiExiYREREJjAwiYiITGBgEhERmcDAJCIiMoGBSUREZEK8BmZi+meOiIiIonKUU/EamPh3Ee8/eKBPERERJR7IJ0f/fm+8Bqari7OEhYXrU0RERIkH8gk5FZ14DUx3dzcJuhusTxERESUeyCfkVHTiNTDdXF1U+3BgEEOTiIgSD+QS8gk5FZ14DUzIkjmj+PkHSGhomF5CRESUcJBHyCXkkyPxHphpnZ0kR3ZPueHtx5omERElKOQQ8gi5hHxyJIVFoz+3y8cvQLJ5ZtKn4s698Pvif+u24O090rmLi4uzOKVJo88lIiJ6MTAaFgN80GeJZljULGMKS0iwwDSEaFXh4OAQCdU2/tGjRypAiYiIXgQEJG4dwWhYDPBx1GcZVYIHJhERUVIQ732YRERESREDk4iIyAQGJhERkQkMTCIiIhMYmERERDES+T9ZKJHRYKP9pgAAAABJRU5ErkJggg=="}}}]}