Final_Project.ipynb

{"cells":[{"cell_type":"code","execution_count":1,"id":"c701f0a2-28ba-4324-81c2-3282fe1ea4e4","metadata":{"id":"c701f0a2-28ba-4324-81c2-3282fe1ea4e4","executionInfo":{"status":"ok","timestamp":1734968557852,"user_tz":-120,"elapsed":11548,"user":{"displayName":"Віталій Черняк","userId":"06141452194574467228"}}},"outputs":[],"source":["import numpy as np\n","import matplotlib.pyplot as plt\n","from keras import layers, regularizers, initializers\n","#from keras.datasets import mnist\n","from keras.models import Model\n","from tensorflow.keras.preprocessing.image import ImageDataGenerator\n","from keras.callbacks import ReduceLROnPlateau, EarlyStopping\n","import tensorflow as tf"]},{"cell_type":"code","execution_count":2,"id":"fd1835b5-9077-428a-a063-76130bcf5bdc","metadata":{"id":"fd1835b5-9077-428a-a063-76130bcf5bdc","executionInfo":{"status":"ok","timestamp":1734968557852,"user_tz":-120,"elapsed":6,"user":{"displayName":"Віталій Черняк","userId":"06141452194574467228"}}},"outputs":[],"source":["def preprocess(array):\n","    array = array/255\n","    array = np.reshape(array, (len(array), 28, 28, 1))\n","    return array"]},{"cell_type":"code","execution_count":3,"id":"5549aad3-7ff0-4a9e-b843-6ed3f0ffc8e0","metadata":{"id":"5549aad3-7ff0-4a9e-b843-6ed3f0ffc8e0","executionInfo":{"status":"ok","timestamp":1734968557852,"user_tz":-120,"elapsed":5,"user":{"displayName":"Віталій Черняк","userId":"06141452194574467228"}}},"outputs":[],"source":["def noise(array, amount = 0.4):\n","    noisy_array = np.copy(array)\n","    num_salt = int(np.ceil(amount * array.size * 0.5))\n","    salt_coords = [np.random.randint(0, i, num_salt) for i in array.shape[1:]]\n","    noisy_array[salt_coords[0], salt_coords[1], salt_coords[2]] = 1\n","    num_pepper = int(np.ceil(amount * array.size * 0.5))\n","    pepper_coords = [np.random.randint(0, i, num_pepper) for i in array.shape[1:]]\n","    noisy_array[pepper_coords[0], pepper_coords[1], pepper_coords[2]] = 0\n","    return noisy_array"]},{"cell_type":"code","execution_count":4,"id":"a09a9edd-c622-416a-8cce-a55b4dd3048d","metadata":{"id":"a09a9edd-c622-416a-8cce-a55b4dd3048d","executionInfo":{"status":"ok","timestamp":1734968557853,"user_tz":-120,"elapsed":6,"user":{"displayName":"Віталій Черняк","userId":"06141452194574467228"}}},"outputs":[],"source":["def display(array1, array2):\n","    n = 10\n","    indices = np.random.randint(len(array1), size=n)\n","    images1 = array1[indices, :]\n","    images2 = array2[indices, :]\n","\n","    plt.figure(figsize=(20, 4))\n","    for i, (image1, image2) in enumerate(zip(images1, images2)):\n","        ax = plt.subplot(2, n, i + 1)\n","        plt.imshow(image1.reshape(28, 28))\n","        plt.gray()\n","        ax.get_xaxis().set_visible(False)\n","        ax.get_yaxis().set_visible(False)\n","\n","        ax = plt.subplot(2, n, i + 1 + n)\n","        plt.imshow(image2.reshape(28, 28))\n","        plt.gray()\n","        ax.get_xaxis().set_visible(False)\n","        ax.get_yaxis().set_visible(False)\n","    plt.show()"]},{"cell_type":"code","execution_count":5,"id":"82344de6-14d2-44f6-b1ab-9489c81ea55a","metadata":{"colab":{"base_uri":"https://localhost:8080/","height":475},"id":"82344de6-14d2-44f6-b1ab-9489c81ea55a","executionInfo":{"status":"ok","timestamp":1734968563210,"user_tz":-120,"elapsed":5362,"user":{"displayName":"Віталій Черняк","userId":"06141452194574467228"}},"outputId":"2316abd0-2a5b-490c-a31c-60617b3c5d9b"},"outputs":[{"output_type":"stream","name":"stdout","text":["Downloading data from https://storage.googleapis.com/tensorflow/tf-keras-datasets/train-labels-idx1-ubyte.gz\n","\u001b[1m29515/29515\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 0us/step\n","Downloading data from https://storage.googleapis.com/tensorflow/tf-keras-datasets/train-images-idx3-ubyte.gz\n","\u001b[1m26421880/26421880\u001b[0m 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_), (test_data, _) = tf.keras.datasets.fashion_mnist.load_data()\n","\n","train_data = preprocess(train_data)\n","test_data = preprocess(test_data)\n","noisy_train_data = noise(train_data)\n","noisy_test_data = noise(test_data)\n","display(train_data, noisy_train_data)"]},{"cell_type":"code","execution_count":6,"id":"1595b9fc-c904-419d-8b1e-1d74c244b8db","metadata":{"id":"1595b9fc-c904-419d-8b1e-1d74c244b8db","executionInfo":{"status":"ok","timestamp":1734968563210,"user_tz":-120,"elapsed":3,"user":{"displayName":"Віталій Черняк","userId":"06141452194574467228"}}},"outputs":[],"source":["datagen = ImageDataGenerator(\n","    rotation_range=10,\n","    width_shift_range=0.1,\n","    height_shift_range=0.1,\n","    horizontal_flip=True,\n","    fill_mode=\"nearest\",\n","    brightness_range = [0.8, 1.2],\n","    shear_range = 0.1,\n","    zoom_range = 0.1\n",")\n","\n","datagen.fit(noisy_train_data)"]},{"cell_type":"code","execution_count":7,"id":"772ee01d-f480-43e9-8912-541159f470db","metadata":{"colab":{"base_uri":"https://localhost:8080/","height":646},"id":"772ee01d-f480-43e9-8912-541159f470db","executionInfo":{"status":"ok","timestamp":1734968566116,"user_tz":-120,"elapsed":2138,"user":{"displayName":"Віталій Черняк","userId":"06141452194574467228"}},"outputId":"ba8678f5-fc07-4633-dee9-c9f688d491bc"},"outputs":[{"output_type":"display_data","data":{"text/plain":["\u001b[1mModel: \"functional\"\u001b[0m\n"],"text/html":["<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"font-weight: bold\">Model: \"functional\"</span>\n","</pre>\n"]},"metadata":{}},{"output_type":"display_data","data":{"text/plain":["┏━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━┳━━━━━━━━━━━━━━━━━━━━━━━━━━━━━┳━━━━━━━━━━━━━━━━━┓\n","┃\u001b[1m \u001b[0m\u001b[1mLayer (type)                        \u001b[0m\u001b[1m \u001b[0m┃\u001b[1m \u001b[0m\u001b[1mOutput Shape               \u001b[0m\u001b[1m \u001b[0m┃\u001b[1m \u001b[0m\u001b[1m        Param #\u001b[0m\u001b[1m \u001b[0m┃\n","┡━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╇━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╇━━━━━━━━━━━━━━━━━┩\n","│ input_layer (\u001b[38;5;33mInputLayer\u001b[0m)             │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m28\u001b[0m, \u001b[38;5;34m28\u001b[0m, \u001b[38;5;34m1\u001b[0m)           │               \u001b[38;5;34m0\u001b[0m │\n","├──────────────────────────────────────┼─────────────────────────────┼─────────────────┤\n","│ conv2d (\u001b[38;5;33mConv2D\u001b[0m)                      │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m28\u001b[0m, \u001b[38;5;34m28\u001b[0m, \u001b[38;5;34m32\u001b[0m)          │             \u001b[38;5;34m320\u001b[0m │\n","├──────────────────────────────────────┼─────────────────────────────┼─────────────────┤\n","│ batch_normalization                  │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m28\u001b[0m, \u001b[38;5;34m28\u001b[0m, \u001b[38;5;34m32\u001b[0m)          │             \u001b[38;5;34m128\u001b[0m │\n","│ (\u001b[38;5;33mBatchNormalization\u001b[0m)                 │                             │                 │\n","├──────────────────────────────────────┼─────────────────────────────┼─────────────────┤\n","│ max_pooling2d (\u001b[38;5;33mMaxPooling2D\u001b[0m)         │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m32\u001b[0m)          │               \u001b[38;5;34m0\u001b[0m │\n","├──────────────────────────────────────┼─────────────────────────────┼─────────────────┤\n","│ conv2d_1 (\u001b[38;5;33mConv2D\u001b[0m)                    │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m64\u001b[0m)          │          \u001b[38;5;34m18,496\u001b[0m │\n","├──────────────────────────────────────┼─────────────────────────────┼─────────────────┤\n","│ batch_normalization_1                │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m64\u001b[0m)          │             \u001b[38;5;34m256\u001b[0m │\n","│ (\u001b[38;5;33mBatchNormalization\u001b[0m)                 │                             │                 │\n","├──────────────────────────────────────┼─────────────────────────────┼─────────────────┤\n","│ max_pooling2d_1 (\u001b[38;5;33mMaxPooling2D\u001b[0m)       │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m7\u001b[0m, \u001b[38;5;34m7\u001b[0m, \u001b[38;5;34m64\u001b[0m)            │               \u001b[38;5;34m0\u001b[0m │\n","├──────────────────────────────────────┼─────────────────────────────┼─────────────────┤\n","│ dropout (\u001b[38;5;33mDropout\u001b[0m)                    │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m7\u001b[0m, \u001b[38;5;34m7\u001b[0m, \u001b[38;5;34m64\u001b[0m)            │               \u001b[38;5;34m0\u001b[0m │\n","├──────────────────────────────────────┼─────────────────────────────┼─────────────────┤\n","│ conv2d_transpose (\u001b[38;5;33mConv2DTranspose\u001b[0m)   │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m64\u001b[0m)          │          \u001b[38;5;34m36,928\u001b[0m │\n","├──────────────────────────────────────┼─────────────────────────────┼─────────────────┤\n","│ batch_normalization_2                │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m64\u001b[0m)          │             \u001b[38;5;34m256\u001b[0m │\n","│ (\u001b[38;5;33mBatchNormalization\u001b[0m)                 │                             │                 │\n","├──────────────────────────────────────┼─────────────────────────────┼─────────────────┤\n","│ conv2d_transpose_1 (\u001b[38;5;33mConv2DTranspose\u001b[0m) │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m28\u001b[0m, \u001b[38;5;34m28\u001b[0m, \u001b[38;5;34m32\u001b[0m)          │          \u001b[38;5;34m18,464\u001b[0m │\n","├──────────────────────────────────────┼─────────────────────────────┼─────────────────┤\n","│ batch_normalization_3                │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m28\u001b[0m, \u001b[38;5;34m28\u001b[0m, \u001b[38;5;34m32\u001b[0m)          │             \u001b[38;5;34m128\u001b[0m │\n","│ (\u001b[38;5;33mBatchNormalization\u001b[0m)                 │                             │                 │\n","├──────────────────────────────────────┼─────────────────────────────┼─────────────────┤\n","│ conv2d_2 (\u001b[38;5;33mConv2D\u001b[0m)                    │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m28\u001b[0m, \u001b[38;5;34m28\u001b[0m, \u001b[38;5;34m1\u001b[0m)           │             \u001b[38;5;34m289\u001b[0m │\n","└──────────────────────────────────────┴─────────────────────────────┴─────────────────┘\n"],"text/html":["<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">┏━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━┳━━━━━━━━━━━━━━━━━━━━━━━━━━━━━┳━━━━━━━━━━━━━━━━━┓\n","┃<span style=\"font-weight: bold\"> Layer (type)                         </span>┃<span style=\"font-weight: bold\"> Output Shape                </span>┃<span style=\"font-weight: bold\">         Param # </span>┃\n","┡━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╇━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╇━━━━━━━━━━━━━━━━━┩\n","│ input_layer (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">InputLayer</span>)             │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">28</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">28</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">1</span>)           │               <span style=\"color: #00af00; text-decoration-color: #00af00\">0</span> │\n","├──────────────────────────────────────┼─────────────────────────────┼─────────────────┤\n","│ conv2d (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Conv2D</span>)                      │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">28</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">28</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">32</span>)          │             <span style=\"color: #00af00; text-decoration-color: #00af00\">320</span> │\n","├──────────────────────────────────────┼─────────────────────────────┼─────────────────┤\n","│ batch_normalization                  │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">28</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">28</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">32</span>)          │             <span style=\"color: #00af00; text-decoration-color: #00af00\">128</span> │\n","│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">BatchNormalization</span>)                 │                             │                 │\n","├──────────────────────────────────────┼─────────────────────────────┼─────────────────┤\n","│ max_pooling2d (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">MaxPooling2D</span>)         │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">14</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">14</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">32</span>)          │               <span style=\"color: #00af00; text-decoration-color: #00af00\">0</span> │\n","├──────────────────────────────────────┼─────────────────────────────┼─────────────────┤\n","│ conv2d_1 (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Conv2D</span>)                    │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">14</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">14</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">64</span>)          │          <span style=\"color: #00af00; text-decoration-color: #00af00\">18,496</span> │\n","├──────────────────────────────────────┼─────────────────────────────┼─────────────────┤\n","│ batch_normalization_1                │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">14</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">14</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">64</span>)          │             <span style=\"color: #00af00; text-decoration-color: #00af00\">256</span> │\n","│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">BatchNormalization</span>)                 │                             │                 │\n","├──────────────────────────────────────┼─────────────────────────────┼─────────────────┤\n","│ max_pooling2d_1 (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">MaxPooling2D</span>)       │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">7</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">7</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">64</span>)            │               <span style=\"color: #00af00; text-decoration-color: #00af00\">0</span> │\n","├──────────────────────────────────────┼─────────────────────────────┼─────────────────┤\n","│ dropout (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Dropout</span>)                    │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">7</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">7</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">64</span>)            │               <span style=\"color: #00af00; text-decoration-color: #00af00\">0</span> │\n","├──────────────────────────────────────┼─────────────────────────────┼─────────────────┤\n","│ conv2d_transpose (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Conv2DTranspose</span>)   │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">14</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">14</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">64</span>)          │          <span style=\"color: #00af00; text-decoration-color: #00af00\">36,928</span> │\n","├──────────────────────────────────────┼─────────────────────────────┼─────────────────┤\n","│ batch_normalization_2                │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">14</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">14</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">64</span>)          │             <span style=\"color: #00af00; text-decoration-color: #00af00\">256</span> │\n","│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">BatchNormalization</span>)                 │                             │                 │\n","├──────────────────────────────────────┼─────────────────────────────┼─────────────────┤\n","│ conv2d_transpose_1 (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Conv2DTranspose</span>) │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">28</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">28</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">32</span>)          │          <span style=\"color: #00af00; text-decoration-color: #00af00\">18,464</span> │\n","├──────────────────────────────────────┼─────────────────────────────┼─────────────────┤\n","│ batch_normalization_3                │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">28</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">28</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">32</span>)          │             <span style=\"color: #00af00; text-decoration-color: #00af00\">128</span> │\n","│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">BatchNormalization</span>)                 │                             │                 │\n","├──────────────────────────────────────┼─────────────────────────────┼─────────────────┤\n","│ conv2d_2 (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Conv2D</span>)                    │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">28</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">28</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">1</span>)           │             <span style=\"color: #00af00; text-decoration-color: #00af00\">289</span> │\n","└──────────────────────────────────────┴─────────────────────────────┴─────────────────┘\n","</pre>\n"]},"metadata":{}},{"output_type":"display_data","data":{"text/plain":["\u001b[1m Total params: \u001b[0m\u001b[38;5;34m75,265\u001b[0m (294.00 KB)\n"],"text/html":["<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"font-weight: bold\"> Total params: </span><span style=\"color: #00af00; text-decoration-color: #00af00\">75,265</span> (294.00 KB)\n","</pre>\n"]},"metadata":{}},{"output_type":"display_data","data":{"text/plain":["\u001b[1m Trainable params: \u001b[0m\u001b[38;5;34m74,881\u001b[0m (292.50 KB)\n"],"text/html":["<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"font-weight: bold\"> Trainable params: </span><span style=\"color: #00af00; text-decoration-color: #00af00\">74,881</span> (292.50 KB)\n","</pre>\n"]},"metadata":{}},{"output_type":"display_data","data":{"text/plain":["\u001b[1m Non-trainable params: \u001b[0m\u001b[38;5;34m384\u001b[0m (1.50 KB)\n"],"text/html":["<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"font-weight: bold\"> Non-trainable params: </span><span style=\"color: #00af00; text-decoration-color: #00af00\">384</span> (1.50 KB)\n","</pre>\n"]},"metadata":{}}],"source":["input = layers.Input(shape=(28, 28, 1))\n","x = layers.Conv2D(32, (3, 3), activation=\"relu\", padding=\"same\", kernel_regularizer=regularizers.l2(0.001), kernel_initializer=\"he_normal\")(input)\n","x = layers.BatchNormalization()(x)\n","x = layers.MaxPooling2D((2, 2), padding=\"same\")(x)\n","x = layers.Conv2D(64, (3, 3), activation=\"relu\", padding=\"same\", kernel_regularizer=regularizers.l2(0.001), kernel_initializer=\"he_normal\")(x)\n","x = layers.BatchNormalization()(x)\n","x = layers.MaxPooling2D((2, 2), padding=\"same\")(x)\n","x = layers.Dropout(0.4)(x)\n","\n","x = layers.Conv2DTranspose(64, (3, 3), strides=2, activation=\"relu\", padding=\"same\")(x)\n","x = layers.BatchNormalization()(x)\n","x = layers.Conv2DTranspose(32, (3, 3), strides=2, activation=\"relu\", padding=\"same\")(x)\n","x = layers.BatchNormalization()(x)\n","x = layers.Conv2D(1, (3, 3), activation=\"sigmoid\", padding=\"same\")(x)\n","\n","autoencoder = Model(input, x)\n","def com_loss(y_true, y_pred):\n","    ssim_loss_val = 1 - tf.reduce_mean(tf.image.ssim(y_true, y_pred, max_val=1.0))\n","    mse_loss_val = tf.reduce_mean(tf.square(y_true - y_pred))\n","    return ssim_loss_val + mse_loss_val\n","\n","autoencoder.compile(optimizer=\"adam\", loss=com_loss)\n","\n","autoencoder.summary()"]},{"cell_type":"code","source":["tf.keras.utils.plot_model(autoencoder, to_file=\"model.png\", show_shapes=True, show_layer_names=True)"],"metadata":{"colab":{"base_uri":"https://localhost:8080/","height":1000},"id":"4r5u3zxjs5p7","executionInfo":{"status":"ok","timestamp":1734968567284,"user_tz":-120,"elapsed":1170,"user":{"displayName":"Віталій Черняк","userId":"06141452194574467228"}},"outputId":"69191459-8e3e-4f44-aa67-7bf4e33ecdc1"},"id":"4r5u3zxjs5p7","execution_count":8,"outputs":[{"output_type":"execute_result","data":{"image/png":"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F96z7T2H+vuHuud8r8z548KB69NFHDc970KBBKikpyWGf7nov74Xvb0o5/g43f/58t++vUJ/5BudiY2Pl5s2bnh4G7hMTJ06Ua9euadY1atRIoqOjDfdx4sQJmT17truHBpMcPHhQHn30Udm1a5eh7bOzs2XevHny5JNPSmpqqu42s2fPli5dusjFixcNj2P37t3SuHFj2bt3r+E2eVWY5y4ismPHDqlbt658/fXXue5jwIABUq9ePc26q1evyjvvvJPX4RVaX375pVSrVk3mzJkjt2/fdqntxo0bJTIyUoYNGyYZGRkmjdC5++27yf02H3hWXr9r8T3r3lOYv2+4e+73yrxjYmKkWbNmsn//fkPbZ2dny8KFC6Vp06aSkJCgu40730u+v+kjfINDRn+gAWfOnTsn8+bNs1k/ZcoUsVgsLvX1zjvvSGJioruGBpOkpKRIp06dJDk52eW2e/fulTFjxtisP3TokIwePTpX47l+/br07t3b5cAhNwrz3DMzM2XChAnSsmVLOXv2bJ768vLykvfff99m/ezZs+XSpUt56rswev311+Xpp5+WW7duWdeFhITI8OHDZc2aNXLy5ElJTk6WW7duyblz52T79u3yr3/9S2rUqKHp55NPPpHWrVtLSkpKfk9BRO6/7yb323zgOe76rsX3rHtHYf6+4e653yvzPnnypPTs2TNX/2hz9OhRefbZZ23Wu/u95PubPsI3OMQXQrjLjBkzbM6UaNSokbRs2dLlvq5duyYTJ050z8BgmmnTpun+gX388cdl165dkpKSIufPn5fPPvtMSpcubbPdwoUL5cyZM5p17733nmRnZ9tsO2DAADly5Ijcvn1bkpOTZd26dVKzZk2b7f788888nYllVGGd+6VLl+Sxxx6TyZMnS1ZWlnV9uXLlJDAwMFd9tm/fXurWratZl56eLrNmzcrTWAub+fPny5QpU6zLFotFxo0bJ6dOnZL//ve/0qlTJ6lataoEBweLv7+/VKhQQZo3by6TJ0+W2NhYWbBggQQHB1vbb9u2TQYPHuyJqdx3303ut/nAc9z1XYvvWfeOwvp9Q8T9c79X5v3iiy/KjRs3bNaPHDlSTpw4Ibdu3ZITJ07Iv//9bwkICLDZ7rvvvpOjR49q1plxHPH9TYe7r2Plnm/3l4YNG1rfn4J0HxLuQXJvuX79ugoKCrL5PbBs2TLd7R3di+RO+fj4qGPHjjncL/ci8ZysrCwVHh5u8/7XqlVLZWRk2Gy/ceNG3c951qxZmj4DAgJstrF3T61jx44pb29vm+179+5t2rzvjLOwzn3lypU2++zVq5e6evWq7v1TnN3z7Y5FixbZtC1evLhKS0szdT5G3Av3fIuNjdXc383Hx0ctXrzY5X4OHz6sypYtq5nf7NmzTRixYwX1u0luFeT58H3r3uHKdy2+Z90fCvP3DXfP/V6Z94kTJ5TFYrHZ7/Dhw3W3X7Bgge68Z8yYYd3GjOPojoL8/U0p7vlW4CxcuND69J7q1atb1yul5LvvvpN27dpJmTJlxNfXV0qUKCG1a9eWF198UU6cOGG3z2nTpln7rFKlinV9QkKCvP3229KoUSMpV66c+Pv7S7ly5aR58+Yyc+ZMh6eBfvDBB9Y+fXx8DM1t1qxZum3ufgrsvn37rOuHDx+ueZpRbv+lNj09XVasWCH9+vWT2rVrS6lSpcTX11eKFi0q4eHh0rx5c3nttdfk0KFDhvu8cyp9ZmamfPbZZ9KuXTupUqWKFClSREqWLCm1atWS0aNHy6lTpwz1l5WVJd9//70MGTJE6tWrJyEhIeLn5yeBgYFSvnx5iYqKkqlTp0pcXJzDfsz4rHO6dOmSvPfee9KmTRspX768FC1aVIKDg6VatWrSsWNH+eSTT2zu/aHn7uPBYrHIhg0bDI/BmVWrVtncC6BEiRLStWtXw300bdpUs5yZmSnjxo1zy/hy2rlzp4wfP14iIyOlUqVKEhAQIEFBQVK5cmWJjIyU8ePHG3o68meffWbzFLB27dpZX1dKyfLly6Vjx44SFhYmvr6+EhoaKk2aNJEPPvhArl+/bnjMKSkpMnfuXOnZs6f17JUiRYpI5cqVpVWrVvKf//zH6fHqTocPH5a//vrLZv2bb76p+zuqbdu2UqFCBZv1v/32m/W/4+LiJC0tzWab3r17646hRo0a/4+9+46PolofP/5sGqGFhFClI1UQCyhgFBGxUASkF0VEEK7AFQRUUBQFryIKWK6KqEgRwQsq0kVFlCqCGKo0kU4aIQWSJcn5/cEv+83szu7OZneyG/bzfr3mBTt75sw50/LsM02aN2/uMN7bWyHdCea+FxQdHS1ffPGFLFmyRMqXL+9VXT179pQyZcpoxl28eFG+++47r+oNFlOmTNHcCvPSSy/JI4884nE9N910kyxevFhCQv4vfJwyZYrmNtaC/BmbBHusJRI88Rax1lXexlpFGWeJ+CbWCuY4SyS44w1f97249Hv9+vWilNKMCw0N1b3FU0Rk0KBBUqJECYfxBd9UasZ2lI/4zY6vs3nX2pVvX3zxhe37KlWqKKWUunDhgtu3gERERKgvvvhCd74ffPCBrVxsbKxSSqmtW7eqSpUquayzRo0aavPmzbp1vv7667ZyoaGhhvo/c+ZM3Wnsl4uzYceOHYbmU9C2bdtUvXr1DNUvIqpnz566b2WxPxN78uRJdfbsWbdvfImIiHB4s6a9PXv2qJtvvtlQ+0qXLu0yK27Gus535coV9eyzz6qIiAi37YyNjVVz5851WV/B7UFE1Jo1a1yW98QDDzzg0KahQ4c6La93Rvadd95RNWvWdBj/ww8/OK3H0zOy27dvV3fddZfh7TMuLs7lm/++/PJLh2nyz6AlJyertm3buqy/WrVq6s8//3S5bPPy8tRbb72lypYt67a9UVFRppzF0bNhwwZ1zz33qFtvvVXVq1dPVaxYUZUoUUKdO3fO6TR6y7579+6270+fPq3br4ULFzqts3Pnzg7lb7/9dp/21V4w9z3/yrf27durkydPar7z5so3pZR69NFHHabv2rWrr7vgsUC/8u3YsWOas/M33HCDysnJ8arOf/3rX5o+Ortay5+xSTDHWkoFV7xFrHWVJ7GWv+IspXwbawVznKVUcMcbvu57cen3vHnzVJcuXVRcXJxq1KiRqlixomrRooXLaa6//nqHdo4fP972vRnbUUGBGr8pxZVvASciIsL2/0uXLonVapX27du7fQuI1WqVwYMHy4EDBxy+K5hBzsjIkFOnTknHjh3dni05efKkdO7cWQ4dOuRhLwLDoUOHpH379nLkyBHD0yxdulS6devmkOG3Z7FY5MEHH3R7hthqtcrAgQMd7nPPd/jwYWnTpo3s3r3bUPsyMzNl6NCh8vnnn+t+b9a6zsnJkc6dO8ubb74pVqvVbTuTk5Pl8ccflzfeeMNtWV/LysqSjRs3Oozv2LGjR/Wkp6fLa6+95jD+mWee0X0+g6cWLFggd911l/z666+Gp9m8ebO0adNG5s+fr/u93pmmtLQ02/r7+eefXdZ/+vRpue+++yQ5OVn3+7y8POndu7eMGzfO0NnbtLQ0GTp0qLzyyituy3qrbdu28tNPP8nOnTvl8OHDkpCQIFlZWVK5cmWn0yQmJjqMK3jFVJUqVaRcuXIOZVw9uPX8+fMO4xo1auSu+V4J5r6XKlVK3n33Xfn++++levXqPq1b75jx448/+vWtm8XB119/rXn+3r///W8JDQ31qs7Ro0drHt6+ZMkSr+ozQ7DGWiLBF28Ra/km1jI7zhLxfawVzHGWSHDHG77ue3Hp98CBA2X58uWyadMmOXDggCQkJGiunraXlZUl586dcxhf8FlsZmxHBRG//R+Sb26Eh4fb/p+VlSXTpk2TnTt3SuPGjeWLL76Qs2fPypUrVyQpKUlWrlwpzZo1s5XPzs6Wd955x6HOgkFvdna2PPvss3LhwgW544475Ntvv5Vz586J1WqVc+fOyZdffin16tWzlb9w4UKh38Ji1PDhw0Up5fAGlQ8//FCUUrahRYsWHtX7wgsv2C6Hj4iIkAkTJsiOHTvkwoULkpOTI+np6XLkyBFZtGiR5tL3n3/+Wf73v/+5rHv69Ony559/SsOGDWXevHly5swZsVqtkpiYKF9//bU0adLEVjYnJ0feeust3XpGjBihuW2gU6dOsmLFCjl9+rRkZ2dLZmam7Nq1S55++mnNbTfPPPOM7u0LZq3rCRMmyLp162yf69evLx9//LHs379fMjMzJSMjQ+Lj4+X111+X2NhYzXQ//vijq0Xpc5s3b3a4JSk0NFTuuecej+q5cOGCDBgwwGG7i4+Pl08//dSrNq5evVoee+wxQ8G1vStXrsigQYNk/fr1Dt8VTN7nS0tLk+nTp8vWrVsN1Z+QkCCvvvqq7nfjx4+XpUuXetZgEZk8ebJ88803Hk9npj/++EMOHjzoML5+/fq2/4eEhEjPnj0dyixcuFD3h8HRo0d1fyD27t3by9b61rXU944dO8qoUaM8foOxEe3bt3eoNyMjQ7Zt2+bzeV1LCv74tFgsTm+h8USDBg00x+Jt27aZ/oY3T2OTYI21RIIv3iLW8k2sZWacJWJOrEWc5ZlrKd7wlLu+X6v9njFjhsPLGWJiYqRLly6FrtPIdlQQ8VsBvr6U7lq77bTg5fYWi0VFRkaq+++/3+lDApOSklT58uVt09SqVcuhzNy5cx2WR7du3XQfaKiUUqmpqapBgwaa8vHx8ZoyvrwVIt/ly5c18/TmIcB5eXmah1i+9dZbbqd55JFHVOXKlVWLFi00D4VUyvE2iBIlSqj27durzMxM3bqSk5NVhQoVNJeZ2zt69KjDOnHljTfe0JTXu73CjHV97NgxFRYWZvu+Q4cOLh9aeerUKVW7dm1b+aZNm7rsl68V3DbzhyZNmricRu92iBEjRiillNq4caPDd5UrV1ZpaWkO9Ri5HSIlJUWzbRQcBgwYoLZu3arS09NVRkaG2rJli+rZs6du2apVqzpsf6tXr3YoV6pUKVWuXDkVEhKixowZo44cOaKysrLU7t271UMPPaRbd2xsrMM2s3fvXhUSEuJQ9pZbblGrV69WZ8+eVampqWrz5s2qQ4cODuXq1q2rsrOzC7NKfc5qtarbb79dt+9HjhzRlD158qSKjo52KPfwww+r3bt3q6ysLJWWlqbWrl2rGjdu7FCuXbt2Ki8vz089dRRMfff2tlOl9G+dmDlzpkktNibQbzuNjY21teWGG27wWb1jxozR9FPv9j1/xibBGGspFZzxFrGW57FWUcZZSpkXaxFnGRdM8YY9o32/Fvqdm5urEhIS1A8//KD69u3r0MaQkBC1dOnSQtfvyXZUUCDGb0oV/W2nJN8KtMld8k1EVHR0tEpMTHRZ7/DhwzXTpKena763DxLKlCmjkpKSXNb57bffaqb5z3/+o/k+0APClJQUTV3r168vdF1KOa6XmJgYt+tl5MiRLtfLL7/8ou666y7VoEEDFRUV5fIZF0oplZmZqcLDw231jR071qGMGet61KhRtu8qVqyoLly44LI+pZRau3atps7CPkOmMPQO/P3793c5jV5QOGzYMNv3Xbt2dfh+woQJDvUYCQr/85//6B6jXnnlFafts9+WnB2k16xZ4/QY+N577znUm5OT4/R5knv27NGU7devn0OZ2rVrq4sXL+q2uVOnTg7lnb1ttijl5uaqAQMG6Pb54Ycf1p1m06ZNmoSC0eGOO+5QKSkpRdxD54Kt775Ivj388MMOdQwaNMikFhsTyMm3K1euaNrSo0cPn9X96aefaurWC+YDKfkWDLGWUsEZbxFreR5rFWWcpZR5sRZxljHBFm8U5Gnfi2u/t27d6raN1113nVq5cmWh51GY7ShfIMZvSvHMt4A3aNAgqVChgssyN998s+azu7cf9erVS3O5up5OnTpp3hSyefNmNy0NLFFRUZrbAlatWuXT+gcPHux2vdx4442azykpKZrPd911l/zyyy/y119/ycWLF+Xee+91WV+pUqU0b3pJSkpy205frOs1a9bY/j9gwACJjo52O98HHnhA09YVK1a4ncZX9J4507BhQ6/qfPPNNzW3hIuIzJw5s1BvGJozZ47DuEaNGsmLL77odJpp06bpPtdgwYIFhubZokULGTlypMP40NBQp28WK/gG5dzcXM12kG/06NESFRXltM32CnMrhS9duXJFBg4cKF988YXDd2XKlHF6u1JcXJzEx8fLqFGjpEqVKi7nYbFY5I477pDZs2fLxo0bJSYmxidt91Yw990bescOo29VDEb2zzHy9q2zrupy9sykQBEMsZYI8ZYIsVY+b2ItX8ZZIkUfaxFn/Z9gjjcK0/drod8FhYaGSrdu3WTu3Lly5MgR6dSpU6HqKex2lI/47SqSbx5yFyCIiENQovfa4oKMPI8hLCxMbrnlFtvngn8gioPQ0FBp27at7fOsWbNk1KhRcvr0aZ/U3759e7dl7NeL/XNWCqNkyZK2/+fk5Lgt7+26Pnv2rCbAKljOnVatWtn+Hx8fb3g6b+k9qLRq1ape1dmgQQMZPny4ZlxWVpY8//zzHtVz4sQJ+fvvvx3G9+/fX/OMGXulSpWSzp07O4zfsWOHoe1g0KBBTr8r+PydglJTU23//+OPPzSf891+++1O673hhhscgoINGza4aal5Lly4IB07dtT9I26xWGTu3LlSt25dp9OfOnVKLl686Pbh4EopOXPmjOzZs0eOHz/ubbN9Ipj77q1q1ao5jDt16pQfWlI85D/3K1+pUqV8VnfBxIXevAJNMMRaIsRbIsRa+byJtXwVZ4n4J9YizroqmOMNb/penPttLzc3V9atWyeffvqpfPbZZw7PhjTC2+1IhPgtH8k3D9WuXdttGfs377jbce3PEDpTq1Yt2/9PnjxpaJpAMn36dE3w9P7770vNmjUlLi5OJk2aJD/++GOhDggiIjVr1nRbxv6hrK7Wy/nz5+Wzzz6TwYMHy5133in169eXypUrS0xMjJQpU0YiIyMlLCxM9u3b51E7vV3XJ06c0JR77LHHxGKxGBoKPkS5KN/ipvc2HHdnkox4+eWXHd5KtHjxYo8e3rlz507d8UYecK0XjF++fNnQ2+UKBuf2KlSooBuMFnyYuV4QK3I1oHS2/kNCQhyuwk1OTtZ9U5PZjhw5Iq1atZIffvhB9/t33nlH96G3IlffPDZ27Fhp1aqVzJ8/31D7jx8/Lu+//740adJEPvjgA6/a7q1g7rsv6P2Y9Mc2XFzYX62j92KgwrKvKxDP+BcULLGWCPEWsdZV3sZavoizRPwTawV7nCUS3PFGYfte3PvtzOXLl2XTpk0ycuRIady4sezatcvwtN5sRwURv11F8s1D9md6fcHobSAF/wBevnzZZ6/9Liq33HKLrF+/XurUqWMbl5eXJ1u2bJGpU6dK+/btJSYmRh588EH55JNPPPqR4Kuz+dnZ2TJmzBipVauWPPHEEzJ37lzZvHmzHDlyRBISEiQ1NVUyMzMlOztbcnNzPa7f23Vtf+tGYemdzTPDlStXdF8j7Yv1FRsbKy+88ILD+DFjxtj+7+6Ni3rBqojIdddd53b+zoJaI+vIVUAcGhqq+6pzT+dhlJFkoS9t3rxZWrdurfujJCwsTGbPni2jRo1yOv2kSZNkxowZmh9zYWFhMmnSJPnrr78kOztbLl68KBs3bnR4k5PVapURI0b47TaQYO67r+gdO3xxVc21KiYmRnMcNPJ4BKPsj0PubvPzt2CJtUSIt4i1rvJ2XfkizhLxT6wVzHGWSHDHG970vTj3u1WrVqKUkry8PElOTpY//vhDpk6d6nBi7Pjx49KuXTtDt3x6ux0VRPx2Fcm3AFC6dGlD5ezPJBbmVd3+FhcXJ4cPH5aFCxdKy5YtHf5oZ2Vlybp162To0KFSu3Ztef3114ss8M3OzpZ27drJrFmzNGe/fMnbdW3/qujCKqrbg5wtx8jISJ/U/+9//9vhatRt27bJl19+KSJX/zC4kp6erju+4BUDzjgr46zOguyvjrXn6jYMEd+uv7S0NJ/V5c5XX30l9957r24CICYmRlauXClPPvmk0+kPHz4sb775psP4GTNmyKuvvioNGjSQiIgIiYqKkjZt2sjy5ct1X/k+duxYQ7cH+1Iw992X9PY7pZRpx+ziLiQkRPMMqj/++MNndf/555+azwWvIgpEwRRriQR3vEWsdZUvYi1v4ywR/8RawRpniQR3vOFN34tzvwuyWCxSvnx5ufnmm+WFF16Q33//XSpWrKgpc/HiRRk/frzLerzdjuwRv11F8i0AGN3oCt4iYLFY3P5hCVShoaEyYMAA2bZtm5w9e1bmzp0rffv2dTgwpKamysSJE6V79+6FusrMU5MmTZItW7bYPoeHh8tjjz0mixcvlt9//12OHTsmKSkpkp6eLpcvX5acnBxp0qSJR/Pwdl2XLVtWU27dunWirr612KPBl7ceFYa7W7GNKlGihLz++usO459//nnJyspyG3g6e2iukcDbWRl3Z1N9wX478IaRZKEvzJ8/X/r166e7DzRt2lR27NghDzzwgMs6Fi5c6BDQREdHOzyXpiC9By6fOHFCs6+bLZj77mu+OnYEk7i4ONv/T58+7bPn0hS89ax8+fKGb/Xzl2CLtUSCN94i1rrKF8dLb+MskeIZaxXHOEskuOMNb/teXPvtTt26dXUTbStWrHCaGPbFdmSP+O0qkm8BwOgf54KXr5ctW9bQpd6uFPWZGD2VK1eWQYMGyZdffinnz5+XnTt3yvPPP695Ts3y5cvlww8/NLUdWVlZmjcxxcTEyPbt2+Xzzz+XPn36SPPmzaVOnTqaZ5CEhoZ6HKR6u67tn98T6G+Xc3bGsrDPmtHTt29fadmypWbciRMnZMaMGW7fTmb/AySfkQeAOnt4tbM6fcnZs5V27drl8Y8DvbN2vvbVV1/J448/rntVRbdu3WTr1q1y/fXXu61n9+7dDuMaNGjg8EY2++/17Nmzx+38fCGY+24GvWNHcU+QmK1Nmzaaz3PnzvW6zr/++kvzHKe7777b7ZUkRpkVmwRzrCUSXPEWsdZVvoq1vImzRIpnrFXc4iyR4I43fNH34thvo2677TaHcTk5ObrP0vTVdmSP+O0qkm8B4ODBg4bKFTxbbX97R8HgMDc311CQEmhvZbFYLHLrrbfK66+/Lvv27ZP69evbvtO7DNiX9uzZownCJk6c6PbtVlar1eOHMXu7rhs2bKhZ13v37vVo/kUtNDRU94+WuzcAe+rtt992GPfGG2+43Q9uvfVW3fG//fab23nqlYmJiXH7th9faNy4se74QHw4+KZNm2TgwIG6f8SfeuopWbZsmeFnaeqdPdZ7zk1Bzp4n4ettUE8w990sem335Rs8r0W9evXSLKOPPvrI64TQe++9p/n82GOP6ZYLpNiEWOv/XOvxFrHWVb481hc2zhIpnrFWcYqzRII73vBV34tDv7OysmTEiBHSq1cvufvuu6Vx48YSGxsr06ZNczmds5Nj9o9V8OV2ZI/47SqSbwHg119/dVvGarVqMvINGzbUfG9/1svdWbq8vDz56aefPGhl0bruuus0D3k9efKkqZdtnz17VvPZ1VuS8n333XcePxfE23UdHR2tCZJXrlzp0fz9oVKlSg7jEhISfDqPuLg46dGjh2Zcenq6/Pe//3U5Xc2aNXXfYLxo0SKXz2tISUmR1atXO4xv06aN11dJGNGkSRPds81Gtq+ilJycLH369NG9bH3KlCny3//+16OrZSpUqOAw7tixYy6D/2PHjumON/useTD33Uz2x2oR37w9+VoWGxsrgwYNsn1OSEiQ0aNHF7q+bdu2aa6OatKkicODp/MFUmxCrKXvWoy3iLWu8mWsVdg4S6R4xlrFJc4SCe54w5d9Lw79joyMlK+//lqWLl0q6djC9gAAIABJREFUv/zyixw8eFBSUlJk1apVLqezf0Zrvsq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k5ORovuB36tRJ0+alS5cW6JwWNIBx3333WczJqjff4HPPPafZ57vvvnO4jmbNmmnyWuvJWhR1FFXwbfny5Q61+80339Tks/YQE/P5yT755BOHyjfvFaiU64Nv5nPI2htabFTwbenSpZpyp0+fbjfPlClTNHmef/55l54bEolU9MmdwbeCPXMdAHTEx8fL1KlTLdYfP35ctm3bZjXfp59+KkePHrVYP2vWLLl9+7ZungceeMBi3dy5c6VFixbSsGFDqVatmpQrV05KlCgh7du3t1p3bGys7vr77rvPah4RkfT0dBkyZIjk5uZq1vv6+srcuXPl5Zdflvr161vkmzJlihw5csRm2e4WExMjv//+u9XtJ0+elB9//FF3W5s2bSzWDRkyRHffbdu2yW+//WazLUeOHJG9e/fqbuvXr59b6/IE6enpMmjQIMnKyrLYlpycLP/+979180VGRkrJkiUt1rdr1053/y1btkhcXJzVdvz444+Gva9LlCghmzdvlmbNmuluf++99+Ts2bO626wdz1dffSXJyclW6zxy5Ijs37/f6bZ6s4ceesj0961bt+TMmTMuKXfRokWmv2vUqCF/+9vfbO7fo0cPCQ8PNy0vWbLE6Tpv3bolvXv3lubNm0vVqlUlLCxMMjIyHMqXlJRkWo6IiJBixYrZzTds2DC5fv26iIgUK1ZM5s2bJ76+vhIUFCRz5swx7RcXFyejR492+ngKqmLFirJ582YJCwszrTt27Jh8/vnnFvu2bt1as7xu3TqH69m3b5/Ex8eblkuXLi3Vq1d3Sx1FZfXq1Q7t99dff2mW87+38zP/XGzdutWh8pctWybZ2dkO7VsQ06ZNkw4dOpiWDx8+LNOmTTOsPlvyfzZF7vwftOfUqVOaZXe+ZwDc/Qi+AXCZ1atXS2Zmpu623bt3W823bNky3fXJycny66+/6m4rUaKE8w3UkfeFx5xeYMLc3r17ZdasWRbrH330UZk+fbrF+n379skHH3zgfCOL2KZNm+zu89133+muf/jhhy3WtWjRQndfR78cxMTE6K5v3LixW+vyBOvWrbMZFNu8ebPVbXpf4urUqaO7786dO+22xVZdBVWuXDnZtWuXtGzZUnf7pk2b5F//+pfV/LVr19Zdb+39m5+tHwygFRgYKKVLlzYtx8XFWfwwUVDLly+XW7dumZaHDx9uc/+hQ4ea/t69e7ecPn3aJe1wVP62+vj4iL+/v908Fy5ckLFjx5qWH330UXnxxRfl7bff1vzQlD9IZ4TixYtLmTJlpG3btjJr1iw5fvy4NGjQwLQ9LS1N90cnEZFHHnlEs3zgwAGH61VKWfwAp/fjVVHUUVR++uknh/a7efOmZjk4OFh3v2rVqmmWDx065FD5ycnJTp1HZ7z77rvy6quvmpavXLkiTz31lOYzUpTMf3Cxdi7zMw9+VqpUyaVtAuBdCL4BcBlbAbZLly7prk9NTbXa+8xWvoCAAOca93/8/PwkKChIwsLCJDIy0mo5vr6OXR4nTZokJ0+etJs/LS1NBg0aZLUnnyfR64VozvzX4DzmvwpHR0dL5cqVdfc9duyYQ+05ceKE7voGDRqIj4+PW+ryFNu3b7e5/cKFC1aDIObv/ZCQEKs9Pu31GhQRl/d8a9SokRw8eFDz5T+/3bt3S//+/UUppbs9JCREypcvr7vN2vs3P0c+B7ijfPnyms/HhQsXXFZ2YmKifPXVV6bl3r17W/3xpXLlyppAbUF6vekpWbKk9OrVSz788EPZtm2bxMbGyrlz5+TKlSty9epVSU1NlczMTMnJySnwl/MlS5bIli1bTMvvv/++vPLKK6blefPmyddff13gY3jiiSdE3ZluxmrKysqS+Ph42bFjh4wZM0bT4y0lJUWefPJJOXz4sEXZfn5+UqVKFc06R64Z+Zn3tq5atWqR11FUsrOz5erVqw7vm5/e/6GgoCApU6aMaTkzM1PTy88eVwff/P39ZcGCBTJp0iTTupSUFGnfvr2cO3fOpXU5wzzY5kgQ0Ly9FStWdGmbAHgXP3c3AMC9w1YPA/Pu/nn++usvq1+ebeWzFwipWrWq9OjRQ5o1aya1atWSUqVKSVhYmMsDKJmZmTJ48GD58ccfbQ4vGjdunPz5558urdsotnpS5UlISNBdHxYWJr6+vqaAT9myZa2WcfHiRYfaYysAW6JECblx40aR1+Up9AK/+eXm5kpSUpKmV1Ie88+Crd6ejpw/a+euIHr16iXLly+XwMBA3e3btm2Tnj17Snp6utUybB2PI19Mnfny6u3yB2lExOWfk0WLFkmPHj1E5E5QtU+fPrJw4UKL/YYMGWJ6X6empsr69esLVW/JkiXlnXfekeHDh1t9L7rSs88+K8ePH5fIyEhNgPGvv/6S8ePHG16/ntzcXPniiy9k3Lhxcv78ed19wsPDNdeT7OxsSUtLc6oe8x595j1zi6KOopKamurS8syD0VevXrV5X2XOlcHy6Oho2bBhg6YXelxcnHTo0MHqSIaiEhUVpVl25HUw38dVoy4AeCd6vgFwGVs3MtZukq9du2azTGdvrqOjo2XVqlVy6tQp+fe//y1du3aVBx980OLG3ZV+/vlnq3NridyZD2v+/PmG1G0ER25Irb0uPj4+EhISYlq2NaeKo6+trf3yB1iKsi5P4cgQNEe/6Nn6UmEryOVsPfZMnDhR1q5dazXYMWvWLOnatavdNnnK8XgD8x4ljpxfZ8TExGgCBMOGDbPYx8fHRwYPHmxaXrdundP/P/KrVq2a/PzzzzJq1KgiCbyJiFy+fFkmT55ssX7ChAkWww+NoJSS69evy19//SXbtm2TiRMnSo0aNaRnz55WA28ilsHXgrTVPI95mUVRx90q//9cEXFofsL8XDWUuX79+nLw4EFN4O3YsWPSpEkTtwfeRETTO1DEsaCj+TXEkaGqAGANPd8AuExB5vhx5tdZeypUqCDff/+9PPjggy4r01G2bsgaNmwotWvXluPHjxdhiwrOkdfEVi+//O8DW2U5Ggy1NQTYXXV5ClcOY7Z1jhx5TxQ2uF2sWDFZsGCBPPPMM7rb09LS5Nlnn5X//e9/DpVX2ONxZKJ83GE+hFnvASCFkZubK0uXLpW33npLRESaNGkitWrV0gwTb926tWbY+eLFiwtcX3BwsHzxxRcW/0v2798vGzZskGPHjklycrIkJydLWlqaZGdny61btyQ7O1tOnz5d4KGnvr6+MmDAAIv1I0eOlA0bNhTq/2VMTIxm4ntXMm9XQa4F5tde8+ttUdRxtzK/Vjl7XK74P9KzZ09ZtmyZ5l5o+/bt0rdvX0PnKXSG+UMpbD1YKk9ubq7k5OSIn9+dr8wFnfIEAETo+QbgHrJ8+XKHA2+3b9+WrKwsl0z827ZtWxkzZozV7QEBAbJy5UopXrx4oesqCo4Mq7AWbMzNzdX0eklJSbFaRmhoqEPtsbVf/gmUi7Kue5GtniSO/NpfmOE4fn5+smbNGquBt1OnTknjxo0dDryJ2O65ZvTxeBvzYJsRX1AXL16sCcCYP3gh/4MWfvvtN9m3b1+B63ruuec0D4+5deuW9O/fX5o2bSozZsyQr7/+Wg4dOiRnz56VxMREuX79uqSnp0tOTk6B6xQRGT9+vDRp0sRifevWreXFF18sVNlGMg+uOHq9tZXHvMyiqONuZd7TNCgoyKn8he3VPXXqVFm3bp3mujp9+nTp3Lmzx5zjmjVrWkxNYe2p7fn5+vqaAm8irv9hAYB3IfgG4J7QpEkTadWqle62M2fOyMsvvyy1a9eWyMhI081UYGCgzJw5s1D1RkVFybJly+z+Cl+vXj159913C1VXUbE1d1qeChUq6K43n2vG1rxZ999/v0PtsbZfamqq5ktHUdZ1L7I1BLxcuXJ281t7uIE9vr6+smrVKunZs6fu9k2bNkmjRo2cHrZU2ONhYm3HmX82jBiadfbsWfn2229Ny08//bTpSaLh4eHy5JNPmrYV9kELgwYN0iy/9dZbDgd+CzqPWM2aNWXq1Kmm5Z07d2oe+vHBBx+47QEB9ly/fl1z3ff393c6eG0eANILvhldx93KfGiks8NpHfmfr8fHx0c+/fRTefvtt033QNnZ2TJo0CB59dVXPapnYb9+/TTLhw4dksuXL9vNZz6k916/DwBgLIJvAO4JXbt21V1/7do1adasmXz00Ufy66+/WgSHCtu7ZcGCBRZPiFRK6U5QP378eM1cKJ6qXr16dvepUaOG7nrzBwAkJSXJmTNnClyPiEjdunV11+/fv99tdd2Lbty4IYmJibrbrL3e+Vl7Kqk9M2fOlN69e+tumzFjhvzjH/8o0AT+qampVgOyDz30kN38BT0eb1RUk5Lnf8hCqVKl5IknnhCRO0Pe8nr75OTkyPLlywtch4+Pj6bX2+3bt2XevHkO5S1fvrxEREQ4XWexYsVk6dKlprnl0tPT5bnnnpNnn33WFMAIDg6WpUuXOvwk7qKUm5srf/zxh2Zd/nPoiFq1ammWzZ9kWhR13K2uX7+uCcCVKFHCqd5sjRs3LlC9CxYskJEjR5qWk5OTpW3btrJixYoClWeU0NBQGTVqlGbd0qVLHcprfi1jLlAAheF5/8EBoACs9VLZvn27zR5RekN8HDVs2DBNb4s8c+fOld69e1vMUePr6yvLli3z+EmeO3fubHef1q1b664/duyYxbrdu3fr7tulS5dCtWfXrl1uretelH8OrfzatGljN6+j5zi/p59+WkaPHq27bdKkSTJ+/PhCzXNlrbectfdvftYC+rAUFxeneZ0c7WnqrC+++EIzvLx79+4iItK3b1/Tum3bthXqSbXR0dGmHnUid57sbO/BQHms9d6057XXXpPHHnvMtDx58mQ5c+aMHDx4UGbPnm1a36xZMxk3blyB6jDagQMHNMvOBHT8/Pykfv36mnU///yzW+q4W5k/Td3RwGR4eHiBgm///Oc/NQ8+OX/+vDRt2lR++OEHp8sy2jvvvKMJRsbFxcmCBQscyms+f6MrnwwLwPsQfANwTzAfGpAnOzvbap6WLVtKw4YNdbfZe7pd1apV5b///a/F+gsXLsiECRNk37598umnn1psr1y5subLlCfq2rWrzQnDH330UYsvMXliYmIs1i1btkx339atW1vtaZanbdu2UqdOHYv1OTk5ur+uF2Vd96LvvvtOd33Xrl0tnhSXX/PmzR3uXZinatWq8sknn+humz9/vrz//vtOlafnm2++0V3frVs3iY6Otpqvbdu2Tveq8WaZmZly5coV03KFChUM6aGVlZUlq1atMi136NBBSpYsKS1btjStK8yDFvQ4Oi9oaGiovPLKKxbr7U1J8PDDD2uecHro0CGZNWuWaXnSpEmaJ42+++67UrNmTYfaVJTMP2t6D46wpl27dprgyB9//CFxcXFuqeNuFRsbq1lu3769Q/kGDRrk9DDx/v37y+uvv25avnz5srRp08aiZ6InePLJJ2Xs2LGade+9957Dc7flf4iLiMi5c+dc1TQAXojgG4B7grXhco0bN9Z9amGVKlVsDk2yNQeKn5+frFq1SnfC55EjR5qGJUycOFH3V9LBgwfLU089ZbV8dytevLgsWrRI9wERgYGBVgMmN2/e1A2+ff/993Lw4EGL9fZ6At53330yf/583W3r16/XfCF1R133os8++0x3fd7rrhdIiIiIcHhYXn7//e9/dT9Dly9f1g1iFMTnn3+uuz4oKEg++ugj3eOJjo7WDZzDtlOnTpn+9vf3lypVqhhST/6hp+XLl5eXXnrJNCH6lStXZMuWLYUqPyUlRfOjTYUKFewOJfX19ZUFCxbo9sC2ldfPz0+WLVtmekBFTk6ODB8+XPP0ybS0NHn++edNy4GBgbJs2TKPexrv2rVr5erVq6blRo0aSadOnezm8/HxMT3FNo+1a3FR1HG32rp1q2Z52LBhdn9EjI6O1gR+HVG5cmXN9fHq1avStm1bOX36tFPlFIWnn37aYq7GLVu2ONzrTcRyioL81zkAcBbBNwD3BPPhKHkeeughWbp0qVStWlUCAgLkwQcflAkTJsihQ4ekYsWKkpKSovtrbbt27ax+aZoyZYpmiFCelStXam6AU1NTNV+a8ps/f36BJzk22q1bt6RNmzaya9cuadeunYSGhkpYWJh06NBB9u7dK40aNdLN9+GHH0pmZqbutpEjR+r2Qqxfv74cPnxY+vfvL9HR0abXaPTo0XL06FF54IEHLPIkJibK+PHjrba/KOu61xw/ftxqb7GnnnpKtm/fLs2bN5eQkBCJiIiQ7t27y759+6RWrVpOPQWuRYsWVof4litXTlJTU0Up5VTavHmzRVm///67bNu2TbeePn36yKZNm6RJkyYSHBwsUVFRMmDAADlw4IBUrVrV6vHY68nkrQozJNAZsbGxmgB7/mGYK1asKPQTrHNycjTDEYsVK2bzGhARESFr1qyRvn37yoEDByx+gLDV43bixInyyCOPmJZnzJihechCnq1bt8ratWtNy40aNZKJEyc6dDxFJSMjw6I3+MKFC+3OFzl9+nRp2rSpaTkxMdFq78WiqONutXXrVs3cmPfdd59u7/w8JUuWlM2bN0tUVJRTAaV58+ZpfsQaPny41ekK3KVSpUqyZMkSWb58uebJyydPnpT+/fs79SAI8+vYTz/95LJ2AvBCyk1mzJihRIREIt2FKSkpSfdzXaFCBat5mjdvrpvn+++/t1nX3LlzdfMNHz5cs19kZKS6fv2609eiHj16qE8//VR32/nz59XGjRvVzJkzNceRk5NjsW9CQoKKiorSPYY1a9bolr9161aPfB2nTZvm9Hm8cOGCCgsLs1nfiy++6HS55rKyslT79u3tHltR1uXs56Egn5+C5MlLp0+f1s1bo0YN3f0fffRRdevWLafP1/Tp03XXHz161KKOiRMnOl2+PZs3b9Y9ngYNGqjs7Gyny5syZYru+uPHj7vtM2vtOloYLVu2dEnbevbsqSn3o48+cjjv8OHDNXnbtm1rc/+RI0fqHkutWrVs5jO/FoeGhuruN2LECM1+ubm5avbs2apmzZrK399flSxZUjVs2FBNmTJFJSQkKKWUyszMVLVq1VIfffSRJu/PP/+sqlevrvz9/VVISIipjjp16qisrCzTfqdPn1ZBQUFW216mTBmVkpJi2j8rK0vVq1fP4XO6fft2w9+f/v7+6uDBg5p6b9y4od555x1Vv359FRoaqgICAtT999+v+vbtq/bu3WvxGv7jH/9wax2BgYGafW193iMiIjT76l3r8tLNmzdN+yUlJTl8Tjt06KCpY+HChVb3nTp1qsWxfv3116pjx46qVKlSyt/fX1WuXFmNGjVKXbp0SSml1NmzZ9XQoUM1eaZMmaJbfsuWLS3KNuJ95Mx719fXV5UuXVrVqVNHjRgxQn322Weaz1WeH3/8UZUvX96pdvj4+Kjk5GRTGenp6crPz8/wzxGJRDI2md+vFCWCbyQSyenkicE3EVEvvPCCU9ehd999V4mIatWqlc398toYFham/vrrL919+vTpY/UYSpcurbmBy+/555/3uNexdOnSul9YrLlx44bNL4H509NPP617Y+yIxMRE1bx5c4ePr6jquteCbwX5LK1bt07Vq1dPd5u7g28ilsEUe5YtW6YqV66su+306dNu+8x6cvAtMjJSE7Q9deqUw3mdDb6FhYWptLQ0TZ79+/fbrcfR4Fvx4sUtAjy25ObmqqefflqJiOrevbvV/SZOnKhERPn5+anDhw9rtrVu3dpu+4cNG6bJc/ToUeXv7+/QOS2K4JuIqPLly6vY2FiHz12enJwch/8fGlnH3Rx8CwoKUvv27XP4fKSnp6tmzZqpvn37atZbC75t3brV4bIdYe1zbv7eLYzbt2+rjz/+WBUvXtzp9/Jjjz2mKWvTpk1F8hkikUjGJncG3xh2CuCe8cknn8iECRMkJyfH5n4ZGRnyzDPPmOaA+e677xyaUP+TTz6xmHxXROSrr77SDAkyd+XKFatPqJs+fbpUr17dbt1F7YknnrB5THl++eUX+dvf/ia//PKLQ+WuWLFCGjZsKF9++aXDbcnOzpaPP/5Y6tSpI3v27HE4X1HWda/55JNPZNiwYZKenm5zP6WUzJkzR/r37291OKYqxNNKXWX+/PkyePBgSUtLs7mfUko+/PBDGTp0qCQlJenu4+zk5N4iJSVFvv/+e9NytWrVDHtoxY0bN2TDhg2ada4cRpidnS3dunWTQ4cO2d338uXL0rVrV9P/kE2bNtnN9+abb0qDBg1My4sXL5Zvv/3Wbl2LFi3SnON69erJ22+/bTdfUbp48aL8/e9/l/nz59v9X5znl19+kfbt2zs812JR1HE3ysjIkK5du+oOwTd36tQpadGihezdu9fh8iMjIwvTvCJ1+/ZtWbVqldSuXVtefPFFmw/fssZ8bl7zaw4AOMvP3Q0AAFeaNm2afP755/LCCy9Iy5YtpUqVKhIaGiqpqany+++/S0xMjMybN08uXbqkyTd48GDZuXOnPPnkk1KpUiXx9fWV5ORk+e2332TLli3St29f3SerXb9+3eq8bvktW7ZM+vfvb/EEsuDgYFmxYoU0a9bM4S8RRvPz85ObN29K3759Zfbs2TJ06FBp3LixlC9fXgIDA+XSpUty/PhxWbVqlWzcuNHpOZZ+/fVX6d69u9SsWVO6dOkibdu2lcqVK0t0dLSEhoZKSkqKJCUlyYkTJyQmJka2bNki8fHxBTqWoqzrXrN48WLZsWOHPPPMM9K1a1e5//77JTw8XK5cuSIXLlyQmJgYWblypZw5c0ZERPcBHSJiegCJuy1fvly+/fZbGTp0qOmJvmFhYabj2b59u6xevVr+/PNPEbnzAJHr169LeHi4phxrD+3AnQnx27Zta1ru3bu30xO6O2rRokUyaNAgEbkTdFizZo1Ly7906ZI0adJE+vXrJ7169ZJHHnlEoqKiROTOnGGxsbGyceNGWbVqlSZIffv2benQoYP861//ki5dukipUqUkLS1Nzpw5sOQDKwAAIABJREFUIydOnJB69erJm2++ado/ISHBqXklR4wYIbGxsabJ9CdOnChfffWVZp46d7t+/bo899xzMm3aNOnVq5e0bt1aqlevLqVKlRI/Pz9JSUmRS5cuyZ49e2T79u0SExPjdJC+KOq4GyUnJ0vXrl2lQ4cO0rdvX2natKmULVtWAgMDJSkpSQ4dOiQbNmyQNWvWmAJS/v7+mjIyMjLc0fQCS0tLk8TERNPncufOnfLNN99YfRCXI3x8fKRHjx6m5czMTKd+yAMAXe7qcsewUxKJRHJvKsxQRhLJPD3xxBO676cvvvjC7W0jFU0KDg7WXFcuXbpkdVgkiUTyjDRq1CjNNXvEiBFub5O7k/lw3/nz57u9TSQSyTWJYacAAOCuZu2pjnk943DvS09Pl7lz55qWy5UrJ71793ZjiwDYY/602MuXL7upJZ7jpZde0izbenIsADiK4BsAABCRO0MqBw0aJJMmTZL58+dLTEyMnDx5Uq5cuWIx/NJcz549ddc7MpcV7h2zZs2Sa9eumZYnTZokfn7McgIUlfvuu0/q1Knj8P4tW7bULB84cMDFLbq7NGrUSDp27GhaXrt2rZw4ccKNLQJwz3BXlzuGnZJIJJJ7E8NOSeYpKChIpaen674vPvzwQ6v5nnnmGd08ycnJKiQkxO3HRSraNHbsWM37wJ1PdSaRvCGFhYWpI0eOmJ4CnJGRoaKjo+3ma9++veazeuzYMbcfi7vTrl27TOcjIyND3X///W5vE4lEcl1i2CkAeLkxY8aIUsrQdPr0aXcfJjxcRkaGrFy5Unfbyy+/LGvXrpUmTZpIeHi4BAYGSt26dWXmzJmycOFC3TwffPCB3SeM3s343OqbM2eOHD9+3LQ8depU08MKALjejRs3JC0tzfQ05sDAQFm0aJEEBARYzfPAAw/IggULNOvmzJljaDs9Xe/evaVFixam5X/+859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omWi8fv26y22z3MeyTj2uPqeWNyfJ/z+gd0xP9cOXWf5fOztUGQAAf0TyDQBQJNkbjujoC7+ISGBgoNva4swXeXttcnZopb27H7oyJ1hhn5/8x/KlfjniznNupNDQUM16dna2l1ryf5o1a6ZZd+Zqz9zcXIdlLF8/BRlmbPn6MWJ+PMtj3Lp1S7PuL/3wpLy8PM1rwPJ1DQBAUULyDQBQJNm7esuZKyw8PQTq8uXLNh+zHMJWkHLO3PDhNmf6bus5zMvL0yQbfaVfllci6YmOjnaqLm+zTLZ5O2lx9913Ww0vtnU3XFdZDrV09jVjbx/LOvU483rJLywsTLNueVWXt/rhywICAiQoKMi87gtJZAAAjELyDQBQJKWnp9t8rFy5cg739/Tk3/bmmKtcubJTddgql5GR4dIwOnvztN1WsWJF3e1XrlzRXOXjK/0qXbq0wzJ6d2r1RZZ99vZwve7du2vWd+3a5XAuN2ddvXpV83oKDg52OTFuOTTZmaSVq4nYO+64w+4xvNUPV3h6GKtlgtMXhk8DAGAUkm8AgCIpIyPDZuKnVq1aDvevX7++u5tk18WLFyUlJUX3sbp16zpVx3333ae7ffv27S61xZnj3XXXXbrbf/31V826p/tl6+qZMmXKWF2dZKldu3ZOtcfbfGmi+sjISBk8eLBm26effuq2+vPy8uTIkSOaba4mSe+55x7NujN3GS1ZsqRTSfrbLJP1lq95T/XDcnhrcHCw0/W70l93sHzdunOeTQAAfA3JNwBAkXXw4EHd7Q899JDDfR955BF3N8ehn376SXd7p06dnNq/Y8eOutt//PFHl9phq578bD2HBw4csNrmyX7ZuhooODhY2rZta/MYDRs2lBYtWjjVHmfYm6eusE6fPq1Jsjh7BaERxo4dq7ki6/Tp0zJ79my3HmPHjh2a9caNGzu9b1BQkPw/9u48PqZ7f/z4e7KLWJKIWGOJtSi99qWuKheXrlQVpZfW5dKqUlS1VUvVUrQX0VJKW6qotpZUly+tWtqg9tausSaNiEhklc/vDz9zczJnMjPJnMxM8no+HufxyPnM53zOe+bM8s77bM2aNdO0xcTE2LVs8+bN7V5P3mJ93kKbSNE8j7w3fnCkMNumTRu7+zpDjRo1NPP23KQDAABPRfENAFBs/fDDD7rtDz/8cL6nIXbp0sUlpyCuXLlSt71z585Wj/66q0uXLtKkSROL9uzsbPn4448diuOhhx6y+Mc4txYtWlgUAu7atm2bRVtRPq+zZ89avcnD1KlTpVSpUhbt5cuXl48++qhAF8G3pmLFik4bK6/09HSJj483z1erVs3QYp81jz32mIwZM0bTNn36dKdfuyvv53jAgAF2L9u1a1dNcfDUqVNy8eJFu5Z9/PHH7epXp04dqVmzpnk+NTVVfvvtN4t+RfE88hafc8eVn8aNG0vjxo3tjscZ8sb2559/Fun6AQAoShTfAADF1hdffKHbXqpUKfnvf/+rW2wJCwuTqKgoo0PTtWPHDtm3b59Fu5eXl6xcudLqNZmqVKkiH3zwge5j69atk9jYWIfi8PPzkw8//FD8/PwsHgsICJDFixfrLpeSkqJbfCvK55WSkqJ71JHIndNXf/jhB7n//vslMDBQgoODpU+fPrJv3z5p1KhRge4emZ6ertv+97//3eGxHHHy5Enz376+vlK7dm1D15fX008/LWvWrNG0bdmyxelHvYmIrF27Vq5fv26eb9mypfzzn/+0uZzJZJLXXntN02bt/aSnf//+UqtWLZv9XnjhBc38jh07JDMz06JfUTyP1NRUzfX2ypQpIy1atLC5jhkzZtjsk1veArfed4UteU//z/2eBgCg2FHFyJAhQ5SIMDExMTExmaetW7da/d3YvHmzatOmjQoMDFShoaFqwIAB6ty5c0oppdLT03WXOXTokNV1JSQk6C5TrVo1u+Nt3ry5ysjI0B3n9OnTqn///iosLEz5+/uryMhINXr0aBUfH6/bPz4+XlWpUsXheDMzM5VSSu3Zs0d17dpVBQUFqbJly6ru3bur/fv3W309p0+f7hbPa+bMmVZjzM+iRYt02w8ePGh1Xc8995zV8WbOnKmqVKmiAgIC1D333KP8/f2d9r6eO3euZl0DBgywa7lnn31Ws9w333zj0Hpr1KihVqxYYfFcjx8/rsqWLWtz+ZSUFPMyCQkJdq/39ddf16zv8uXLqkGDBvku884772iWiY+PVyEhIbp9AwICNH3vvldjYmJU+fLlra6jW7du6vbt25ple/To4bLnISJq48aNmv5fffWVMplMVvu/9dZb5nFzGzVqlNVllixZouk7fPhwh9/D0dHRmjH+9re/Oe3zwcTExMTk+VPDhg1VcULxjYmJiYmpWE/33XefuZjkiClTpui2Hz161Oq6nFF8ExE1cuRIh+PNKyMjQ/3jH//Idz3W4p09e7bD67tw4YLN4ktRPa+IiAh169Yth8aNi4tTFSpUUNnZ2RaP5VdwbdKkid3rcPR9kN/Up08fzdj//e9/7VrOkeKbl5eXqlixomrSpIkaNmyY2rBhg24Bdc+ePapq1ap2rb+gxTdfX1+1b98+zXqTk5PV1KlTVbNmzVRQUJDy9/dXERERql+/fmrXrl0WcT7yyCNWx89bfPvll1/UL7/8opRS6tKlS+rFF19UDRo0UIGBgap06dLq3nvvVbNnz1ZZWVma5Xbt2uXS5yEiqnfv3hbLbN68WT3wwAMqODhY+fj4qPDwcPX444+rn3/+WSml1PXr19UzzzyjWSa/4tu4ceM0fc+fP686duyoSpUqpcqXL6+aNWuWb4wmk0ldu3bNvPytW7eUj4+P0z4fTExMTEyeP1F8c2MU35iYmJiY9KZhw4Y59HuycuVKVbNmTd3HTp8+bXU9ziq+iYh6+umnrR4pZstff/2lOnToYHMd1uKtWLGi7j/91iQnJ6umTZu6zfMSETVq1Ci7x83IyFAPPvigEhGVnJxs8fiJEyfyXZe9r5Uzi28hISGaws/JkyftWi5v8a0wbt++rRYtWqT8/PzsjrugxTcRUVWrVlWHDx92OM7s7Gw1YsSIfMfOW3zbt2+fatiwoe77wZqrV6/atY2NfB4id4qmd4tq9sjMzFSPPfaY6tChg6b9xRdftLqOBg0a2Hwt8ouxVatWmv6bNm1y2meDiYmJial4TBTf3BjFNyYmJiYma9OgQYM0//jrycnJUQsWLFDe3t4qKChIt8/ly5etrsOZxTcRUY0aNVJffvml3b+DGRkZauHChapSpUp2jZ9f8S0oKEh99tlnNtd58OBB1bhxY7d6XnenF154QaWlpeU79pUrV1Tnzp3Ny1y6dMmiz8WLF/NdT506ddTFixdtPg9nFt9ERH333Xea8Rs1amRzGWcU37Kzs9Unn3yiGjZs6HDMhSm+iYgqV66cev/99y2OOLPm4MGDmu1rbcpbfLt7qnGLFi3U6dOnba4nJiZG1alTx+XP4+4UHh6u9uzZY3Pc69evq65duyoRUc2aNdM8NnHixHzX8d5771kd11bx7e2339b0Hzx4sFM/G0xMTExMnj9RfHNjFN+YmJiYmPKbqlWrpl5//XUVExOj4uPjVXp6uoqNjVW7du1Sr732moqMjNT0T0pKsvitSUlJsTq+s4tvd6eGDRuql19+WW3btk2dOHFCJSYmqszMTHX16lV19OhR9fnnn6uhQ4c6XJyyFm/u66m1a9dOLVu2TB05ckQlJiaqW7duqdOnT6svv/xSPfHEE8rX19ftnlfuqXbt2mrmzJnqt99+UwkJCSorK0slJCSo7du3q9GjR6ugoCBNf70jkpKTk22uJywsTM2aNUsdP35cpaWlqfT0dBUXF6d+//13tXbtWjV69GgVEBDg1Pdz3kLam2++6fAytqSkpKhz586pX3/9VS1btkz169dPhYWFFTjmwhbf7k6RkZFq4sSJ6ttvv1Xnz59XKSkpKj09XV2+fFnt27dPLViwQHXv3j3fa53lnvIW344cOWJ+zM/PTz322GPq888/V7///ru6ceOGSklJUadOnVIbN25UvXv3LvDnwNnPI/fk5eWlnnzySbV+/Xp17tw5lZKSorKystRff/2lfvzxRzV+/HjNtePq1q2reQ2mTZuW7/gmk0mNHDlS/fbbb+rWrVsqOztbJSYmqpiYGDV79ux8lzt16pR5PWlpafleV4+JiYmJqWROxa34ZlIqz+2KPNjQoUNl+fLlrg4DAACPkJCQIKGhoRbt1atXl4sXL7ogIjgiMDBQYmNjzdvwypUrUqNGDcnKynJxZJ4nICBA0tLSzPPHjh2Txo0buzCi4qt79+4SHR1tnl+6dKkMGzbMhREBANxRw4YN5fjx464Ow2m8XB0AAAAAHHfr1i1ZsmSJeb5y5crSt29fF0YE2Pb8889r5hcsWOCiSAAAKDoU3wAAADzU/PnzJSkpyTw/efJk8fHxcWFEgHUtW7aUHj16mOfXrl1brI5qAADAGopvAAAAHuratWsydepU83yDBg3kueeec2FEgHVz584Vk8kkIiLp6ekyfvx4F0cEAEDRoPgGAADgwRYuXChHjx41z7/55pu61/IDXKlv377SsWNH8/xbb70lsbGxLowIAICiQ/ENAADAg2VlZcmAAQMkIyNDRETCwsI014IDXC08PFwWLVpknt+7d6+89dZbLowIAICiRfENAADAwx0+fFgmTJhgnu/Tp48MHDjQhREBd5hMJvnwww+lQoUKIiJy8+ZNGThwoNy+fdvFkQEAUHQovgEAABQD7777rqxYscI8//7778t9993nwogAkddff1169uwpIiK3b9+WJ598Us6cOePiqAAAKFoU3wAAAIqJf//737Jjxw4REQkMDJSvvvpKwsPDXRsUSqzevXvLG2+8YZ5/8cUXJTo62oURAQDgGtyLHgCAEuruaWAoPrKysuSBBx5wdRgeJz093XwXTjjPhg0bxMuLff0AAPBrCAAAAAAAABiE4hs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ZZ54R5VuzZg3duHFDsOybb74hvV4vyjto0CC6dOkSPXz4kDIzM2nv3r1Ur149Ub6bN2+qegVFEVv3/XHp98cff0y5ubmi5R999BHFxMSQVqulmJgY+vbbb8nDw0OUb+fOnRQdHS1YpsY4elrmcAi+PYXOnTtn7ybAEyAnJ4dWrVolWj5mzJhi17lkyRK6evVqSZoFKjt58qTohrF9+/alS5cukY+Pj83Ww8z07rvvCk5N7969u83qL47S6HtZ7HdCQgItWLBAtHzJkiU0ffp0qlq1Knl5eVHnzp0pIiKC3NzcBPnu379PBw4csLgeW/Rdav+zfPlyXKZnhejoaBo5cqThtZOTE61fv55mzZpF5cuXt1je0dGR3n33XTp27Jjg4Rg7duygxYsXq9Jmc560Oc+T1h+wD8zhnj56vV7yM2/QoAEdPnyYWrduTeXKlaPg4GB65513aNOmTZJ17N69W/A6IiJClK9ly5a0fv16atCgAbm4uJC3tzeFh4fTr7/+So6OjqL8+/fvL2HvzLN13x+XfsfGxkqu48MPP6SFCxdSSEgIubq6UkhICE2YMEFyrkdEgjmcGuOoyNMwh3sqg29r1qwxPGGndu3ahuXMTDt37qSwsDCqWLEiOTs7k4+PDzVs2JA+/vhjiomJka1z1qxZhjpr1KhhWJ6SkkKTJk2iFi1aUOXKlcnV1ZUqV65ML774Is2dO9fs6ZrfffedoU4nJydFfZs3b55kGeOnwBo/he7DDz8UPHGouEdUdTodbdu2jQYMGEANGzakChUqkLOzM7m7u1NgYCC9+OKL9Nlnn9H58+cV11l0xkNBQQGtWrWKwsLCqEaNGuTm5ka+vr7UoEEDGjVqFF2/fl1RfYWFhfTbb7/Ru+++S40bNyY/Pz9ycXEhT09PCg4Opk6dOtHMmTMpKSnJbD1qfNamEhMT6ZtvvqGOHTtScHAwubu7k7e3N4WEhFB4eDgtW7ZMdI8OU8ZjQaPR2HwHv2PHDtE1+z4+PtSjRw/FdbRp00bwuqCggMaOHWuT9pk6ceIETZw4kVq3bk3VqlUjDw8P8vLyourVq1Pr1q1p4sSJip6OvGrVKtGTusLCwgzvMzNt3bqVwsPDDU+B9Pf3p1atWtF3331H2dnZitqblZVFS5YsoT59+hjOMHFzc6Pq1atT+/btacGCBRbHqtp8fHxo06ZNtHXrVqpQoYJN6/7xxx8Flx5WqFBBtbFRHGr1vSz2e+vWraIz11q3bk3vv/++KG+tWrWoZ8+eVLNmTQoLC6OPPvqI5s2bJ3lGnClb9L13797k5eUlWJaZmSk5yQNp06ZNE3zekyZNooEDB1pdT6NGjWjLli3k4PB/U81p06YJLmM1Zu85j63/t9u7P9Z6WuZxj8scjkjdeRzmcE/fHO7ChQt09+5d0fIvvvhCch/12muvUZUqVUTLL1++bPg7KSmJ8vLyRHnefPNNyTbUqVOHXnjhBdFytW9hYuu+Py79PnTokOi+u46OjpKXeBIRDR06lFxdXUXLjZ9UqsY4KvJUzOGUPJXhSXva6aZNmwzvV6pUiZmZ09PTLT6tw8XFhTdt2iS53h9//FHwdA5m5lOnTnHFihXN1lmlShU+ceKEZJ3ffvutIZ+jo6Oi/s+dO1eyjOl2kUuRkZGK1mPs9OnTHBISovgpL71795Z8eorpU7Li4+P57t27Fp/M4uLiInoqk6lLly5x48aNFbXP09OTV6xYIVuXGp91kfz8fB4/fjy7uLhYbKefnx+vWbNGti7jsUBEHBERYXbd1goLCxO1adiwYbL5pZ6UNX/+fK5atapo+eHDh2XrsfZJWWfOnOGXXnpJ8fhs27at2Sf0/fTTT6IyLVu2ZOZHTw1r166d2fqDgoL4n3/+ka1fr9fz7NmzuVy5chbb6u3tbXasqmH79u1MRNyhQweOj48XvCf1tKfiPPEzLi6OPT09BfWsWbOGo6KiRPWX5lM/1e57We13y5YtRetfv369Tddhy74PGjRIVKZ79+42bW9xlfWnncbFxbGjo6OhPfXr1+eCgoIS1fnhhx8K+ij3hE57z3ls/b/d3v2xxtM0j3tc5nDM6s7jMIf7v/S0zOGOHDnC7du356ZNm3JISAj7+/uzq6sr37t3T7aM1Lbv1auX4f07d+5I9m3jxo2ydUo9Mb1FixY27aspW/f9cen3unXruFu3bty2bVuuW7cu+/v7c7NmzcyWqVmzpqid48aNM7yvxjgy9rjO4fC0UzNcXFwMf+fl5ZFOp6MOHTpYfFqHTqejd955h65cuSJ6zzjSm5OTQwkJCdSlSxeLRzXi4+Pp9ddfp2vXrlnZi7Lh2rVr1KFDB4qNjVVc5ueff6YePXpYfAKeRqOhTp06WTySq9PpaPDgwaLr0YvExMRQaGgoXbhwQVH7cnNzadiwYbR27VrJ99X6rAsKCuj111+nmTNnkk6ns9jO1NRUevvtt+m7776zmNfWtFotHT16VLS8S5cuVtWTnZ1N33zzjWj5mDFjJO+jYK0NGzbQSy+9RH/99ZfiMidOnKDQ0FBav3695PtSR4SysrIMn9+ff/5ptv47d+5Qx44dKTU1VfSeXq+nvn370tixYxUdXc3KyqJhw4bRlClTLOa1FQ8PD1qwYAEdPHiQgoODbV4///8nXRrfnyI8PJyGDh0quM+aPajZ97La7wcPHgjOtCnSoUMHm63D1n2X2g/9/vvvdn3i5uPil19+EWzzjz/+WPJSGWuMHj1acO++rVu3lqg+tWAe93TM4zCHwxzO1NMyh2vXrh398ccfdO7cOYqJiaGkpCTSarUUEBAgWyY5OVm0zPhs/0qVKknejsDcTfLv378vWla3bl1LzS8RW/f9cen34MGDadeuXXT8+HG6cuUKJSUlSc7pimi1WskHaxnfi02NcWTsSZ/DPZXBN2dnZ8PfWq2Wvv/+ezp37hzVq1ePNm3aRHfv3qX8/HxKSUmhvXv30vPPP2/I//DhQ5o/f76oTuPJ6cOHD2n8+PGUnp5Obdq0oZ07d9K9e/dIp9PRvXv36KeffqKQkBBD/vT09GI/LUWp4cOHEzOLrplesmQJMbMhNWvWzKp6v/jiC8Np6y4uLvT5559TZGQkpaenU0FBAWVnZ1NsbCxt3rxZcHr6n3/+Sdu3bzdb96xZs+iff/6hOnXq0Lp16ygxMZF0Oh0lJyfTL7/8Qs8995whb0FBAc2ePVuynhEjRghO7w8PD6c9e/bQnTt36OHDh5Sbm0tRUVE0atQoweUxY8aMkbzMQK3P+vPPPxdcU1+rVi1avnw5RUdHU25uLuXk5NDFixfp22+/JT8/P0G533//3dymtLkTJ06ILh1ydHSk9u3bW1VPeno6DRgwQDTuLl68KHk/AWvs27ePhgwZomgSbCo/P5+GDh1Khw4dEr1nHLwvkpWVRbNmzaJTp04pqj8pKYmmTp0qWj5u3Dj6+eefrW7v119/Tb/++qvV5YqjS5cuNHLkSNUeArB48WLB5LdChQq0YsUKVdZlLTX7Xlb7feXKFdGPqIoVK1JgYKDN1mHrvnfo0EH0GeXk5Iju1wdixp+DRqORvYTGGrVr1xbs40+fPq36E96KM+cpy/M4teZwRE/fPA5zOMzhTD1NczhrnD9/nv777z/R8lq1ahn+dnBwoN69e4vybNy4UTIAe/36dclgfN++fUvYWtuy1Pcntd9z5swRPZzB19eXunXrVuw6lYwjY0/8HE7J6XFP2mWnxqfFazQadnNz49dee43z8vIk60xJSeEKFSoYylSrVk2UZ82aNaLt0aNHD87Pz5esMyMjg2vXri3If/HiRUEeW16yUOTBgweCdcpd/qGEXq9nDw8PQ12zZ8+2WGbgwIEcEBDAzZo14zlz5gjeM71cwdXVlTt06MC5ubmSdaWmpvIzzzwjOBXc1PXr10WfiTnfffedIL/UZRBqfNZxcXHs5ORkeL9z586y45GZOSEhgatXr27I36BBA7P9sjXjsVmUnnvuObNlpC5ZGDFiBDMzHz16VPReQEAAZ2VliepRcslCWlqaYGwYpwEDBvCpU6c4Ozubc3Jy+OTJk9y7d2/JvIGBgaLxt2/fPlE+Dw8PLl++PDs4OPAnn3zCsbGxrNVq+cKFC9y1a1fJuv38/ARj5vLly+zg4CDK16RJE963bx/fvXuXMzIy+MSJE9y5c2dRvho1avDDhw+L+5HaREkvvZS69ND4OxgZGSk5TsqCkvS9LPd7w4YNonUXXSah1Wp5xYoV3KFDBw4KCmIXFxf29/fntm3b8vTp0zklJcVi/Wr1Xeqyiblz5xZ/Q9hIWb/s1M/Pz9CW+vXr26zeTz75RNBPtS/TLGLNnMfW/9vt3R8lnsZ5HOZwmMOZ5sMcTkyn03GLFi0k+x4bGyvIGx8fzz4+PqJ8PXv25AsXLrBWq+WsrCzev38/16tXT5TvlVdeYb1eb6eeiint+5PQ78LCQk5KSuLDhw9zv379RG10cHDgn3/+udj1WzOOjD2Oczill50+9cE3ImIfHx9OTk42W+/w4cMFZbKzswXvm/4z9/LysvjDY+fOnYIyM2bMELxf1iduaWlpgroOHTpU7LqYxZ+Lr6+vxc/lo48+Mvu5HDt2jF966SWuXbs2e3t7m70PBTNzbm4uOzs7G+r79NNPRXnU+KxHjhxpeM/f35/T09PN1sfMvH//fkGdxb3XS3FI7aD79+9vtozUxO2DDz4wvN+9e3fR+59//rmoHiUTtxkzZkjuo6ZMmSLbPtOxVJRM78dhbn+4cOFCUb0FBQWy95O8dOmSId9bb70ler969eqcmZkp2d7w8HBR/i1btsj2rzSUJACl1+tF91p54403BHmexOBbWe+31PctLCyML1++zM8995zZOUG5cuV4w4YNsnWr2feePXuKyg0dOrTE26OkynLwLT8/3+xnURKrVq0S1C01mbf3nMfW/9vt3R8lnsZ5HOZwmMPJ7X+f9jlckcLCQh4wYIBkn3v27ClZ5vjx44KDN0pTmzZtOC0trZR7KM/avj+u/T516pTFNlauXJn37t1b7HUUZxwVeRzncLjnmxWGDh1KzzzzjNk8jRs3Fry29JSiPn36CE4rlxIeHi54oseJEycstLRs8fb2Fpy+/9tvv9m0/nfeecfi59KwYUPB67S0NMHrl156iY4dO0ZXr16lzMxMevXVV83W5+HhIXgiS0pKisV22uKzNn5c9YABA8jHx8fiesPCwgRt3bNnj8UytiJ1b5g6deqUqM6ZM2cKLgknIpo7d26xngQkdcla3bp16csvv5Qt8/3330vef2DDhg2K1tmsWTP66KOPRMsdHR1ln/5V9ATlwsJCyUeWjx49mry9vWXba6o4lzuUFaaXHvr7+9OSJUvs16BSUtb7bfo0PKJH9/np3Lkz/fvvv2bLZmdn06BBg2jlypWS76vZd6n9kdInKj6tTO9hZMun+JrWJXW/pLIG87iSexzmcZjDPYI5HOZwRI8u2R08eDBt2rRJ9J6Xl5fspeFt27alixcv0siRI6lSpUpm16HRaKhNmza0bNkyOnr0KPn6+tqk7SVVnL4/Cf025ujoSD169KA1a9ZQbGwshYeHF6ue4o6jIk/yHA7BNyKL/8iJSDR5kHq8sDEl901wcnKiJk2aGF4X7cQfF46OjtSuXTvD63nz5tHIkSPpzp07NqlfyQ29TT8X0/uhFIe7u7vh74KCAov5S/pZ3717VzARMs5nSatWrQx/X7x4UXG5kpK6oWhJ7wFVu3ZtGj58uGCZVqulCRMmWFXP7du36caNG6Ll/fv3F9wLxpSHhwe9/vrrouWRkZGKxsHQoUNl3zO+T46xjIwMInp0P4Siv421aNFCts769euL/nEfOXLEYjvLori4ONHn/P/Yu/PoqKn+8eOfaaEUWkpLWWXfRRZFRUB4ABEVEAHZQQVFBBR38FFABAW/Cgii4gL4sIuAILIJuICI7IJsoqzKTksppQtdaHt/f3A6v2YmM5OZTjoz7ft1Ts5p0tzk3iQ3c/NJcvPFF19I2bJlfZSj/BEI5dbrNHr79u2az8678vzzz8upU6c008wue6VKleymnTt3zivLLqhsA60lSpTw2rJzBy701uWPaMflXSC042jD3UQb7kmH/yssbbirV69Kp06ddAMmFotF5s6dKzVr1nSY/ty5c3Lt2jWXH2JRSsmFCxfk0KFD8u+//+Y1216Rl7IHcrltZWVlycaNG+V///ufzJkzx65vSCPyehyJFOw2HME3EalevbrLeWy/juOqgtneyXOkWrVq1r/duZjxF1OmTNE0cmbMmCFVq1aVli1bytixY+Xnn3/2qOKKiFStWtXlPLYdpzrbLzExMTJnzhwZNGiQtGrVSurUqSPly5eXqKgoCQ8Pl9DQUClSpIjLpzls5XVfnzlzRjPfwIEDxWKxGBpyd3acn19a0/tqjas7PkaMGzfO7utBS5YscauTzb179+pON9IRtV6jOTU11dBX4HI3om2VKVNGt9GY0+m4XkNT5GaDz9G+DwoKsnsC98qVK7pfU/JnSudLl4899ph0797dh7kyX6CU29kX6/7zn//ITz/9JFeuXJGkpCRZv3693VPiIjeP8ylTpljH86PseheSgVY38pvt0zp6HxzylO2y/PGOvy3acYWjHUcb7ibacIW7DXfixAlp3ry5/PTTT7r//+ijj3Q/MCBys50wYsQIad68uSxYsMBQGf7991+ZMWOGNGjQQD777LM85T2vPC17oJfbkdTUVPntt9/k+eefl/r168u+ffsMp83LcZRbQW7DEXwT+zuy3mD0dY3cP1Kpqale+TR3fmrSpIn8+OOPUqNGDeu07Oxs2b59u0ycOFHat28vUVFR0qFDB/nyyy/dasx76657enq6vPLKK1KtWjV5+umnZe7cubJt2zY5ceKExMbGSkJCgqSkpEh6erpkZWW5vfy87mvbVyw8pXfXzQw3btzQ/dyzN/ZXdHS0jBkzxm76K6+8Yv3b1Zcm9RqVIiK33HKLy/U7anwa2UfOGq7BwcG6nyR3Z/lGGWlk+pMZM2bIli1brOMVK1aUTz75xIc5yh+BUu6SJUvqTr/33nvlp59+kvvvv19Kly4t4eHh0qFDB9m6datuXcv9Jbf8KLve+cgbT9QUZFFRUZrzq5FuF4yyPce5es3PH9COKzj8IJEAACAASURBVBztONpwN9GGK7xtuG3btkmLFi10A8BFihSRmTNnygsvvOAw/dixY2XatGmawHmRIkVk7NixcvToUUlPT5dr167Jli1b7L6amZGRIcOHD/fZK7d5KXsgl7t58+ailJLs7Gy5cuWK/PHHHzJx4kS7G2P//vuvtGvXztArn3k9jnIryG04gm8mCQsLMzSf7R0/Tz6p7WstW7aU48ePy6JFi6RZs2Z2P6xpaWmyceNGeeaZZ6R69ery3nvv5VvjND09Xdq1ayfTp0+33qHytrzua9tPOnsqv17jcbQdQ0NDvbL8F1980e5p1J07d8rXX38tIjdP4M7ovSYnon0NxRFH8zhaZm62T8facva6hDf3XWJioteWZbZTp07JqFGjNNNmz54dEE/F5EUgldtRfzXjx4+3O6eJ3LyZpfeaUUxMjJw8eTLfyq5Xl5VSpv0OFARBQUGaPqj++OMPry37wIEDmvHcTxH5K9px/19BbsfRhruJNlzhbMMtW7ZM7r//ft2bLVFRUbJ27VoZMmSIw/THjx+XyZMn202fNm2avPPOO1K3bl0JCQmRiIgIad26taxatUp69+5tN/+IESMMvR7sTXkpeyCXOzeLxSKlS5eWO+64Q8aMGSO///67Xfcf165dk9dee83pcvJ6HNkqyG04gm8mMXpw5H6U32KxuDz5+6vg4GB57LHHZOfOnXLx4kWZO3eu9O3b164CJyQkyOjRo6V79+4ePWXmrrFjx8r27dut40WLFpWBAwfKkiVL5Pfff5dTp05JfHy8JCUlSWpqqmRmZkqDBg3cWkde97XtkyUbN24UdfNLxG4N3nxFyBOuXsU2qlixYvLee+/ZTX/jjTckLS3NZQPRUbDASAPZ0TzO7nh6g6OnizxhpJHpL3744Qe7bd65c2eHr2k0bdrUbhkxMTGaeSZOnJhf2fdYIJVbr98NEef9Gjl6PSgmJibfyu6t81Fh07JlS+vf58+f91q/NLlfOytdurThV/18iXZc4WjH0Ya7iTac5wK1DbdgwQLp16+fbh1o2LCh7NmzRx566CGny1i0aJFd8CgyMtKu/7/c9D5scebMGU09N1teyx6o5XalZs2auoG2NWvWOAwMe+M4slWQ23AE30xi9Ec092PmJUuWdPk4tiv+8NRL+fLl5cknn5Svv/5aYmJiZO/evfLGG29o+pNZtWqV6V/0S0tL03wxKSoqSnbt2iXz5s2TPn36yF133SU1atTQ9BUSHBzsdmMyr/vatp8df/8KnKM7i572CaOnb9++0qxZM820M2fOyLRp01x+RcxRh+1GOup01Mm02R3gO3rqZ9++fW434PXurAGeuv3223WnO3vqxVHALj+fCNI7HwVyYCS/tG7dWjM+d+7cPC/z6NGjmn6c2rRp4/QpEneY2ebxRTvOH9pwIoWrHUcb7ibacJ4LxDbcsmXL5KmnntL9Le/WrZvs2LFDatWq5XI5+/fvt5tWt25duy/f2v5fz6FDh1yuzxu8UfZALLdRejc9MzMzdfvS9NZxZKsgt+EIvpnk77//NjRf7rvKtq9h5G7AZWVlGWpM+NvXUywWi9x5553y3nvvyZ9//il16tSx/k/vcV1vOnTokKaxNHr0aJdfocrIyHC7w+S87ut69epp9vXhw4fdWn9+Cw4O1v1xcfUFYHdNnTrVbtr777/vsh7ceeedutN3797tcp1680RFRbn8Kk9e1a9fX3d6IHbejYKlXr16un1vHD161GEa206kc+RnP1965yNvfr2zoOrVq5dmO33xxRd5DgjZ9uc3cOBA3fn8rc2T1992fyuPpwp6O4423E204TwXaG243377TQYMGKAbMHnuuedkxYoVhvtD13tST69Pwdwc9d3l7WNQj7fKHgjlTktLk+HDh0uvXr2kTZs2Ur9+fYmOjpZJkyY5Tefo5pjtDVRvHke2CnIbjuCbSbZu3epynoyMDE3kvF69epr/296dcnU3LTs7WzZt2uRGLvPXLbfcoumI9ezZs6Y+Xn3x4kXNuLMvGeVYvXq12/135HVfR0ZGahqza9eudWv9vlCuXDm7abGxsV5dR8uWLaVHjx6aaUlJSfLpp586TVe1alXdLxgvXrzYab8K8fHx8v3339tNb926dZ6fSHWlQYMGuneDjRxbgJmCg4Olc+fOdtOdPRGld9wWLVrUo7ufnrI9/4t452t+BV10dLQ8+eST1vHY2Fh5+eWXPV7ezp07NU9HNWjQwK7j6Rz+1ubJ62+7v5XHGwpiO4423E204TwXSG24K1euSJ8+fXRfEZwwYYJ8+umnbj2ZXKZMGbtpp06dchpkPXXqlO50s59Q9GbZA6HcoaGh8u2338ry5cvl119/lb///lvi4+Nl3bp1TtPZ9tGao3z58ta/vX0c2SrIbTiCbyZZvHixyw44V65cqYmCt23bVvN/2y8w6T3imtuKFSvk9OnTbuUzL/11fPrpp9KzZ0+pXr26LF682FAa208He+vVEz22y3bVQExISLDrKNzIY/je2Ne5L0YOHjwo69evd7ne9PR0ueOOO6RXr14yb968fPtSloj+V6cuXLjg9fVMmjTJrpNjI30j6HXqeerUKZkwYYLu/NnZ2fLcc8/p3mkZOnSowdx6zmKxSLdu3eymf/HFFw6/fPX9999LeHi41KxZU5o3by5dunTRfFFMRGTDhg26/Wj99ttvppTDXcOGDXPrdYw9e/bYLaN8+fKaed58800R8e+yB1q5H3/8cbtpCxculIMHD9pNT0pKkmnTptlNb968uZQoUcLUsuemdz5y9DostEaNGqVpf8ydO1feeec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\n","text/plain":["<IPython.core.display.Image object>"]},"metadata":{},"execution_count":8}]},{"cell_type":"code","execution_count":9,"id":"2f5d833e-c69d-4c3a-a42e-c79e4be7d980","metadata":{"id":"2f5d833e-c69d-4c3a-a42e-c79e4be7d980","executionInfo":{"status":"ok","timestamp":1734968567284,"user_tz":-120,"elapsed":5,"user":{"displayName":"Віталій Черняк","userId":"06141452194574467228"}}},"outputs":[],"source":["reduce_lr = ReduceLROnPlateau(monitor=\"val_loss\", factor=0.5, patience=5, min_lr=1e-6)\n","early_stopping = EarlyStopping(monitor=\"val_loss\", patience=10, restore_best_weights=True)"]},{"cell_type":"code","execution_count":10,"id":"039a17af-f15d-4b09-bb68-5082ec7e2f3f","metadata":{"colab":{"base_uri":"https://localhost:8080/"},"id":"039a17af-f15d-4b09-bb68-5082ec7e2f3f","outputId":"869bd5a1-1969-4f7b-e652-5bc73602bf4c","executionInfo":{"status":"ok","timestamp":1734969079928,"user_tz":-120,"elapsed":512649,"user":{"displayName":"Віталій Черняк","userId":"06141452194574467228"}}},"outputs":[{"output_type":"stream","name":"stdout","text":["Epoch 1/150\n"]},{"output_type":"stream","name":"stderr","text":["/usr/local/lib/python3.10/dist-packages/keras/src/trainers/data_adapters/py_dataset_adapter.py:122: UserWarning: Your `PyDataset` class should call `super().__init__(**kwargs)` in its constructor. `**kwargs` can include `workers`, `use_multiprocessing`, `max_queue_size`. Do not pass these arguments to `fit()`, as they will be ignored.\n","  self._warn_if_super_not_called()\n"]},{"output_type":"stream","name":"stdout","text":["\u001b[1m468/468\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m50s\u001b[0m 85ms/step - loss: 1.1013 - val_loss: 1.3987 - learning_rate: 0.0010\n","Epoch 2/150\n","\u001b[1m  1/468\u001b[0m \u001b[37m━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[1m5s\u001b[0m 12ms/step - loss: 0.9672"]},{"output_type":"stream","name":"stderr","text":["/usr/lib/python3.10/contextlib.py:153: UserWarning: Your input ran out of data; interrupting training. Make sure that your dataset or generator can generate at least `steps_per_epoch * epochs` batches. You may need to use the `.repeat()` function when building your dataset.\n","  self.gen.throw(typ, value, traceback)\n"]},{"output_type":"stream","name":"stdout","text":["\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r\u001b[1m468/468\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m1s\u001b[0m 1ms/step - loss: 0.9672 - val_loss: 1.3976 - learning_rate: 0.0010\n","Epoch 3/150\n","\u001b[1m468/468\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m70s\u001b[0m 74ms/step - loss: 0.9666 - val_loss: 1.3757 - learning_rate: 0.0010\n","Epoch 4/150\n","\u001b[1m468/468\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m1s\u001b[0m 1ms/step - loss: 0.9506 - val_loss: 1.3751 - learning_rate: 0.0010\n","Epoch 5/150\n","\u001b[1m468/468\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m40s\u001b[0m 74ms/step - loss: 0.9554 - val_loss: 1.3875 - learning_rate: 0.0010\n","Epoch 6/150\n","\u001b[1m468/468\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m1s\u001b[0m 1ms/step - loss: 0.9420 - val_loss: 1.3830 - learning_rate: 0.0010\n","Epoch 7/150\n","\u001b[1m468/468\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m43s\u001b[0m 80ms/step - loss: 0.9537 - val_loss: 1.2150 - learning_rate: 0.0010\n","Epoch 8/150\n","\u001b[1m468/468\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m1s\u001b[0m 3ms/step - loss: 0.9420 - val_loss: 1.2166 - learning_rate: 0.0010\n","Epoch 9/150\n","\u001b[1m468/468\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m36s\u001b[0m 73ms/step - loss: 0.9528 - val_loss: 1.0130 - learning_rate: 0.0010\n","Epoch 10/150\n","\u001b[1m468/468\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m1s\u001b[0m 3ms/step - loss: 0.9691 - val_loss: 1.0051 - learning_rate: 0.0010\n","Epoch 11/150\n","\u001b[1m468/468\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m34s\u001b[0m 72ms/step - loss: 0.9529 - val_loss: 1.0022 - learning_rate: 0.0010\n","Epoch 12/150\n","\u001b[1m468/468\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m1s\u001b[0m 3ms/step - loss: 0.9472 - val_loss: 1.0124 - learning_rate: 0.0010\n","Epoch 13/150\n","\u001b[1m468/468\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m40s\u001b[0m 73ms/step - loss: 0.9534 - val_loss: 0.9805 - learning_rate: 0.0010\n","Epoch 14/150\n","\u001b[1m468/468\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m1s\u001b[0m 1ms/step - loss: 0.9410 - val_loss: 0.9531 - learning_rate: 0.0010\n","Epoch 15/150\n","\u001b[1m468/468\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m35s\u001b[0m 73ms/step - loss: 0.9525 - val_loss: 1.2780 - learning_rate: 0.0010\n","Epoch 16/150\n","\u001b[1m468/468\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m1s\u001b[0m 2ms/step - loss: 0.9454 - val_loss: 1.2780 - learning_rate: 0.0010\n","Epoch 17/150\n","\u001b[1m468/468\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m40s\u001b[0m 73ms/step - loss: 0.9532 - val_loss: 1.1791 - learning_rate: 0.0010\n","Epoch 18/150\n","\u001b[1m468/468\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m1s\u001b[0m 1ms/step - loss: 0.9507 - val_loss: 1.1788 - learning_rate: 0.0010\n","Epoch 19/150\n","\u001b[1m468/468\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m40s\u001b[0m 73ms/step - loss: 0.9523 - val_loss: 0.9917 - learning_rate: 0.0010\n","Epoch 20/150\n","\u001b[1m468/468\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m1s\u001b[0m 1ms/step - loss: 0.9573 - val_loss: 0.9967 - learning_rate: 5.0000e-04\n","Epoch 21/150\n","\u001b[1m468/468\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m40s\u001b[0m 73ms/step - loss: 0.9526 - val_loss: 1.1661 - learning_rate: 5.0000e-04\n","Epoch 22/150\n","\u001b[1m468/468\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m1s\u001b[0m 1ms/step - loss: 0.9584 - val_loss: 1.1705 - learning_rate: 5.0000e-04\n","Epoch 23/150\n","\u001b[1m468/468\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m34s\u001b[0m 73ms/step - loss: 0.9518 - val_loss: 0.9813 - learning_rate: 5.0000e-04\n","Epoch 24/150\n","\u001b[1m468/468\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m1s\u001b[0m 1ms/step - loss: 0.9492 - val_loss: 0.9853 - learning_rate: 5.0000e-04\n"]},{"output_type":"execute_result","data":{"text/plain":["<keras.src.callbacks.history.History at 0x7c2579157880>"]},"metadata":{},"execution_count":10}],"source":["train_size = len(train_data)\n","batch_size = 128\n","steps_per_epoch = train_size // batch_size\n","\n","train_generator = datagen.flow(noisy_train_data, train_data, batch_size=batch_size)\n","\n","autoencoder.fit(\n","    train_generator,\n","    epochs=150,\n","    steps_per_epoch=steps_per_epoch,\n","    validation_data=(noisy_test_data, test_data),\n","    callbacks=[reduce_lr, early_stopping]\n",")"]},{"cell_type":"code","execution_count":16,"id":"f7811fc7-c7d2-4119-a25e-136c7f6779cc","metadata":{"id":"f7811fc7-c7d2-4119-a25e-136c7f6779cc","colab":{"base_uri":"https://localhost:8080/","height":353},"executionInfo":{"status":"ok","timestamp":1734969254175,"user_tz":-120,"elapsed":1566,"user":{"displayName":"Віталій Черняк","userId":"06141452194574467228"}},"outputId":"4e0456de-2750-4e5c-d9b6-ca94800ffe56"},"outputs":[{"output_type":"stream","name":"stdout","text":["\u001b[1m313/313\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 1ms/step\n"]},{"output_type":"display_data","data":{"text/plain":["<Figure size 2000x400 with 20 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= autoencoder.predict(noisy_test_data)\n","display(noisy_test_data, predictions)"]},{"cell_type":"code","source":["def psnr(y_true, y_pred):\n","  return tf.image.psnr(y_true, y_pred, max_val=1.0)\n","\n","psnr_val = psnr(noisy_test_data, predictions)\n","print(f\"PSNR: {psnr_val}\")"],"metadata":{"id":"4lhrAzoDHJnW","colab":{"base_uri":"https://localhost:8080/"},"executionInfo":{"status":"ok","timestamp":1734969310630,"user_tz":-120,"elapsed":253,"user":{"displayName":"Віталій Черняк","userId":"06141452194574467228"}},"outputId":"764e8eff-97bb-489e-ce56-267a4e48367d"},"id":"4lhrAzoDHJnW","execution_count":18,"outputs":[{"output_type":"stream","name":"stdout","text":["PSNR: [ 9.504153   8.4990835  8.586586  ... 10.020691  10.023999   8.92315  ]\n"]}]},{"cell_type":"code","source":[],"metadata":{"id":"zBSZ-Ja0OAfh"},"id":"zBSZ-Ja0OAfh","execution_count":null,"outputs":[]}],"metadata":{"kernelspec":{"display_name":"Python 3","name":"python3"},"language_info":{"codemirror_mode":{"name":"ipython","version":3},"file_extension":".py","mimetype":"text/x-python","name":"python","nbconvert_exporter":"python","pygments_lexer":"ipython3","version":"3.12.3"},"colab":{"provenance":[],"gpuType":"T4"},"accelerator":"GPU"},"nbformat":4,"nbformat_minor":5}