{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 1,
   "id": "a35293f1-90d2-4f0e-b4d6-c95d71878e4f",
   "metadata": {},
   "outputs": [],
   "source": [
    "import tensorflow as tf\n",
    "import numpy as np\n",
    "import matplotlib.pyplot as plt\n",
    "from tensorflow.keras.datasets import cifar10\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "id": "d9625155-bc64-4c23-8bb2-fbfd508446f8",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
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      "   ------------------------------------- -- 15/16 [tensorflow]\n",
      "   ---------------------------------------- 16/16 [tensorflow]\n",
      "\n",
      "Successfully installed absl-py-2.4.0 astunparse-1.6.3 flatbuffers-25.12.19 gast-0.7.0 google_pasta-0.2.0 grpcio-1.80.0 h5py-3.14.0 keras-3.14.1 libclang-18.1.1 ml_dtypes-0.5.4 namex-0.1.0 opt_einsum-3.4.0 optree-0.19.1 protobuf-7.34.1 tensorflow-2.21.0 termcolor-3.3.0\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "ERROR: pip's dependency resolver does not currently take into account all the packages that are installed. This behaviour is the source of the following dependency conflicts.\n",
      "streamlit 1.51.0 requires protobuf<7,>=3.20, but you have protobuf 7.34.1 which is incompatible.\n"
     ]
    }
   ],
   "source": [
    "!pip install tensorflow\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "id": "9b78127a-e99e-4d1c-a106-5a15ef0a0650",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Downloading data from https://www.cs.toronto.edu/~kriz/cifar-10-python.tar.gz\n",
      "\u001b[1m170498071/170498071\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m7s\u001b[0m 0us/step\n",
      "Training images shape: (50000, 32, 32, 3)\n",
      "Training labels shape: (50000, 1)\n",
      "Testing images shape: (10000, 32, 32, 3)\n",
      "Testing labels shape: (10000, 1)\n"
     ]
    }
   ],
   "source": [
    "(X_train, y_train), (X_test, y_test) = cifar10.load_data()\n",
    "\n",
    "print(\"Training images shape:\", X_train.shape)\n",
    "print(\"Training labels shape:\", y_train.shape)\n",
    "print(\"Testing images shape:\", X_test.shape)\n",
    "print(\"Testing labels shape:\", y_test.shape)\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "id": "2e2eeb8e-bd20-4ec9-981c-a0691bdabd64",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 500x500 with 9 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "class_names = ['Airplane', 'Automobile', 'Bird', 'Cat', 'Deer',\n",
    "               'Dog', 'Frog', 'Horse', 'Ship', 'Truck']\n",
    "\n",
    "plt.figure(figsize=(5,5))\n",
    "\n",
    "for i in range(9):\n",
    "    plt.subplot(3,3,i+1)\n",
    "    plt.imshow(X_train[i])\n",
    "    plt.title(class_names[y_train[i][0]], fontsize=7)\n",
    "    plt.axis('off')\n",
    "\n",
    "plt.tight_layout()\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "id": "0283f686-b2ea-44a7-bcd6-e79fe21f4dac",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Minimum training pixel value: 0.0\n",
      "Maximum training pixel value: 1.0\n"
     ]
    }
   ],
   "source": [
    "X_train = X_train / 255.0\n",
    "X_test = X_test / 255.0\n",
    "\n",
    "print(\"Minimum training pixel value:\", X_train.min())\n",
    "print(\"Maximum training pixel value:\", X_train.max())\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "id": "4eb19f5c-6a71-4b11-a7ae-9092db2f42d5",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "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: \"sequential_1\"</span>\n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[1mModel: \"sequential_1\"\u001b[0m\n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "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",
       "│ 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\">30</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">30</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">32</span>)     │           <span style=\"color: #00af00; text-decoration-color: #00af00\">896</span> │\n",
       "├─────────────────────────────────┼────────────────────────┼───────────────┤\n",
       "│ max_pooling2d_2 (<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\">15</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">15</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">32</span>)     │             <span style=\"color: #00af00; text-decoration-color: #00af00\">0</span> │\n",
       "├─────────────────────────────────┼────────────────────────┼───────────────┤\n",
       "│ conv2d_3 (<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\">13</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">13</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">64</span>)     │        <span style=\"color: #00af00; text-decoration-color: #00af00\">18,496</span> │\n",
       "├─────────────────────────────────┼────────────────────────┼───────────────┤\n",
       "│ max_pooling2d_3 (<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\">6</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">6</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">64</span>)       │             <span style=\"color: #00af00; text-decoration-color: #00af00\">0</span> │\n",
       "├─────────────────────────────────┼────────────────────────┼───────────────┤\n",
       "│ flatten_1 (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Flatten</span>)             │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">2304</span>)           │             <span style=\"color: #00af00; text-decoration-color: #00af00\">0</span> │\n",
       "├─────────────────────────────────┼────────────────────────┼───────────────┤\n",
       "│ dense_2 (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Dense</span>)                 │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">64</span>)             │       <span style=\"color: #00af00; text-decoration-color: #00af00\">147,520</span> │\n",
       "├─────────────────────────────────┼────────────────────────┼───────────────┤\n",
       "│ dense_3 (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Dense</span>)                 │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">10</span>)             │           <span style=\"color: #00af00; text-decoration-color: #00af00\">650</span> │\n",
       "└─────────────────────────────────┴────────────────────────┴───────────────┘\n",
       "</pre>\n"
      ],
      "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",
       "│ conv2d_2 (\u001b[38;5;33mConv2D\u001b[0m)               │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m30\u001b[0m, \u001b[38;5;34m30\u001b[0m, \u001b[38;5;34m32\u001b[0m)     │           \u001b[38;5;34m896\u001b[0m │\n",
       "├─────────────────────────────────┼────────────────────────┼───────────────┤\n",
       "│ max_pooling2d_2 (\u001b[38;5;33mMaxPooling2D\u001b[0m)  │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m15\u001b[0m, \u001b[38;5;34m15\u001b[0m, \u001b[38;5;34m32\u001b[0m)     │             \u001b[38;5;34m0\u001b[0m │\n",
       "├─────────────────────────────────┼────────────────────────┼───────────────┤\n",
       "│ conv2d_3 (\u001b[38;5;33mConv2D\u001b[0m)               │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m13\u001b[0m, \u001b[38;5;34m13\u001b[0m, \u001b[38;5;34m64\u001b[0m)     │        \u001b[38;5;34m18,496\u001b[0m │\n",
       "├─────────────────────────────────┼────────────────────────┼───────────────┤\n",
       "│ max_pooling2d_3 (\u001b[38;5;33mMaxPooling2D\u001b[0m)  │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m6\u001b[0m, \u001b[38;5;34m6\u001b[0m, \u001b[38;5;34m64\u001b[0m)       │             \u001b[38;5;34m0\u001b[0m │\n",
       "├─────────────────────────────────┼────────────────────────┼───────────────┤\n",
       "│ flatten_1 (\u001b[38;5;33mFlatten\u001b[0m)             │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m2304\u001b[0m)           │             \u001b[38;5;34m0\u001b[0m │\n",
       "├─────────────────────────────────┼────────────────────────┼───────────────┤\n",
       "│ dense_2 (\u001b[38;5;33mDense\u001b[0m)                 │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m64\u001b[0m)             │       \u001b[38;5;34m147,520\u001b[0m │\n",
       "├─────────────────────────────────┼────────────────────────┼───────────────┤\n",
       "│ dense_3 (\u001b[38;5;33mDense\u001b[0m)                 │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m10\u001b[0m)             │           \u001b[38;5;34m650\u001b[0m │\n",
       "└─────────────────────────────────┴────────────────────────┴───────────────┘\n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "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\">167,562</span> (654.54 KB)\n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[1m Total params: \u001b[0m\u001b[38;5;34m167,562\u001b[0m (654.54 KB)\n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "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\">167,562</span> (654.54 KB)\n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[1m Trainable params: \u001b[0m\u001b[38;5;34m167,562\u001b[0m (654.54 KB)\n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "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\">0</span> (0.00 B)\n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[1m Non-trainable params: \u001b[0m\u001b[38;5;34m0\u001b[0m (0.00 B)\n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "from tensorflow.keras.models import Sequential\n",
    "from tensorflow.keras.layers import Input, Conv2D, MaxPooling2D\n",
    "from tensorflow.keras.layers import Flatten, Dense\n",
    "\n",
    "model = Sequential()\n",
    "\n",
    "model.add(Input(shape=(32,32,3)))\n",
    "\n",
    "model.add(Conv2D(32, (3,3), activation='relu'))\n",
    "model.add(MaxPooling2D((2,2)))\n",
    "\n",
    "model.add(Conv2D(64, (3,3), activation='relu'))\n",
    "model.add(MaxPooling2D((2,2)))\n",
    "\n",
    "model.add(Flatten())\n",
    "\n",
    "model.add(Dense(64, activation='relu'))\n",
    "model.add(Dense(10, activation='softmax'))\n",
    "\n",
    "model.summary()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "id": "c6f4a364-1842-4798-8c6c-c0f627c8eb20",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "WARNING:tensorflow:TensorFlow GPU support is not available on native Windows for TensorFlow >= 2.11. Even if CUDA/cuDNN are installed, GPU will not be used. Please use WSL2 or the TensorFlow-DirectML plugin.\n"
     ]
    }
   ],
   "source": [
    "model.compile(optimizer='adam',\n",
    "              loss='sparse_categorical_crossentropy',\n",
    "              metrics=['accuracy'])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "id": "6e96bad5-bc1a-4d54-b0eb-3d7b0ad5bf4b",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Epoch 1/10\n",
      "\u001b[1m1563/1563\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m16s\u001b[0m 10ms/step - accuracy: 0.4716 - loss: 1.4704 - val_accuracy: 0.5649 - val_loss: 1.2352\n",
      "Epoch 2/10\n",
      "\u001b[1m1563/1563\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m9s\u001b[0m 6ms/step - accuracy: 0.6033 - loss: 1.1318 - val_accuracy: 0.6011 - val_loss: 1.1287\n",
      "Epoch 3/10\n",
      "\u001b[1m1563/1563\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m9s\u001b[0m 6ms/step - accuracy: 0.6564 - loss: 0.9891 - val_accuracy: 0.6574 - val_loss: 1.0015\n",
      "Epoch 4/10\n",
      "\u001b[1m1563/1563\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m12s\u001b[0m 8ms/step - accuracy: 0.6858 - loss: 0.9036 - val_accuracy: 0.6356 - val_loss: 1.0805\n",
      "Epoch 5/10\n",
      "\u001b[1m1563/1563\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m18s\u001b[0m 6ms/step - accuracy: 0.7100 - loss: 0.8386 - val_accuracy: 0.6786 - val_loss: 0.9309\n",
      "Epoch 6/10\n",
      "\u001b[1m1563/1563\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m12s\u001b[0m 8ms/step - accuracy: 0.7281 - loss: 0.7764 - val_accuracy: 0.6833 - val_loss: 0.9242\n",
      "Epoch 7/10\n",
      "\u001b[1m1563/1563\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m8s\u001b[0m 5ms/step - accuracy: 0.7449 - loss: 0.7279 - val_accuracy: 0.6986 - val_loss: 0.8983\n",
      "Epoch 8/10\n",
      "\u001b[1m1563/1563\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m9s\u001b[0m 6ms/step - accuracy: 0.7611 - loss: 0.6807 - val_accuracy: 0.6972 - val_loss: 0.9191\n",
      "Epoch 9/10\n",
      "\u001b[1m1563/1563\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m11s\u001b[0m 7ms/step - accuracy: 0.7748 - loss: 0.6421 - val_accuracy: 0.6901 - val_loss: 0.9506\n",
      "Epoch 10/10\n",
      "\u001b[1m1563/1563\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m9s\u001b[0m 6ms/step - accuracy: 0.7909 - loss: 0.6015 - val_accuracy: 0.6999 - val_loss: 0.9124\n"
     ]
    }
   ],
   "source": [
    "history = model.fit(X_train, y_train,\n",
    "                    epochs=10,\n",
    "                    validation_data=(X_test, y_test))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "id": "9f2e056f-27ca-4874-bd37-58db280a01a8",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.plot(history.history['accuracy'], label='Training Accuracy')\n",
    "plt.plot(history.history['val_accuracy'], label='Validation Accuracy')\n",
    "\n",
    "plt.title('Model Accuracy')\n",
    "plt.xlabel('Epoch')\n",
    "plt.ylabel('Accuracy')\n",
    "plt.legend()\n",
    "\n",
    "plt.show()\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "id": "4e228491-2bff-499f-92ea-c200b010fc90",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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zWLt2LUFBQfznP/8hPj6+QAAoCaNHj+ahhx6iefPmtGnThunTp7N161aqV6/+t+de+tQVQL169Xj00Ud55plnKFeuHJUrV+bf//43aWlpDB8+HLCN64mOjqZ+/fpkZGTw888/57/v999/n/DwcJo0aYLVamXGjBmEhYURGBhYpO+7KCjcFLFAb3e61Q/jpy3H+H7DYYUbEREn89JLL3HgwAG6deuGt7c3Dz/8ML179yYpKalE6xg0aBB//fUXTz/9NOnp6QwYMIChQ4de1ppzJXffffdl2w4cOMC//vUvcnNzGTx4MCkpKTRv3pyFCxcSFBQE2BaufOGFFzh48CBeXl60b9+e7777DgBfX1/eeecd9u7di4uLCy1atGD+/PlYrY7XCWQxyljfSXJyMgEBASQlJeHv718s91i99wSDP1+Hv6cr68Z2wbMI+4ZFRMySnp7OgQMHqFatGp6enmaXUybdeuuthIWF8fXXX5tdSrGw93fsWj6/1XJTDNrUKE/FQC+OnjnHoh3HuaNxhNkliYiIk0lLS2PixIl069YNFxcXvv32W5YsWcLixYvNLs3hOV5bUingYrXQLzoSgBkbDptcjYiIOCOLxcL8+fNp37490dHR/PTTT8yaNYsuXbqYXZrDU8tNMbkrOpIPl+7l130nOXI6jcggb7NLEhERJ+Ll5cWSJUvMLsMpqeWmmFQq503r6sEYBszaeNTsckRERMoMhZtiNKDF+a6pjYfJ1WKaIiIiJULhphjdVj8cPw9Xjpw+x+9/JZpdjoiISJmgcFOMvNxd6NXE9qTU9xpYLCIiUiIUbopZ3nIMC/6MJ+lclsnViIiIlH4KN8WscWQAtUJ9ycjO5actx8wuR0REpNRTuClmFoslv/VGc96IiDinDh06MGbMmPzvq1atygcffGD3HIvFwty5c2/43kV1nbJE4aYE9G5aEVerhS1HktgVn2x2OSIiZUavXr2uOundb7/9hsViYdOmTdd83fXr1/Pwww/faHkFvPrqqzRp0uSy7XFxcXTv3r1I73WpKVOmOOQCmNdL4aYElPf1oHPdEABmbDhicjUiImXH8OHDWbZsGYcOHbps3+TJk2nSpAnNmjW75utWqFABb++SmZw1LCwMDw+PErlXaaFwU0LyuqbmbD5KZnauydWIiJQNt99+OyEhIUyZMqXA9rS0NKZPn87w4cNJTEzknnvuITIyEm9vbxo2bMi3335r97qXdkvt3buXm2++GU9PT+rVq3fF9Z+ee+45atWqhbe3N9WrV+ell14iK8v2oMmUKVN47bXX2LJlCxaLBYvFkl/zpd1S27Zto1OnTnh5eREcHMzDDz9Mampq/v6hQ4fSu3dv3nvvPcLDwwkODmbkyJH597oesbGx3Hnnnfj6+uLv78+AAQM4fvx4/v4tW7bQsWNH/Pz88Pf3Jzo6mg0bNgBw6NAhevXqRVBQED4+PtSvX5/58+dfdy2FoeUXSsgttSpQwc+DEykZLNt1nNsahJtdkojIjTMMyEor+fu6eYPF8reHubq6MmTIEKZMmcLLL7+M5fw5M2bMIDMzk0GDBpGWlkZ0dDTPPfcc/v7+zJs3j8GDB1O9enVatWr1t/fIzc2lb9++lC9fnt9//53k5OQC43Py+Pn5MWXKFCIiIti2bRsPPfQQfn5+PPvsswwcOJA///yTX375JX/JhYCAgMuukZaWxm233cZNN93E+vXrSUhI4MEHH2TUqFEFAtzy5csJDw9n+fLl7Nu3j4EDB9KkSRMeeuihv30/lzIMg969e+Pj48PKlSvJzs7mscceY+DAgaxYsQKAQYMG0bRpUyZMmICLiwsxMTG4ubkBMHLkSDIzM1m1ahU+Pj7s2LEDX1/fa67jWijclBBXFyv9mkUyceV+Zmw4onAjIqVDVhq8HVHy933xGLj7FOrQYcOG8e6777JixQo6duwI2Lqk+vbtS1BQEEFBQTz99NP5x48ePZpffvmFGTNmFCrcLFmyhJ07d3Lw4EEiI20z07/99tuXjZP55z//mf911apV+cc//sH06dN59tln8fLywtfXF1dXV8LCwq56r6lTp3Lu3Dm++uorfHxs7//jjz+mV69evPPOO4SGhgIQFBTExx9/jIuLC3Xq1KFnz54sXbr0usLNkiVL2Lp1KwcOHKBSJVsvxNdff039+vVZv349LVq0IDY2lmeeeYY6deoAULNmzfzzY2Nj6devHw0bNgSgevXq11zDtTK1W2rVqlX06tWLiIiIax4NvmbNGlxdXa84+MpR3dXc9pd++e4Ejienm1yNiEjZUKdOHdq0acPkyZMB2L9/P6tXr2bYsGEA5OTk8NZbb9GoUSOCg4Px9fVl0aJFxMbGFur6O3fupHLlyvnBBqB169aXHTdz5kzatWtHWFgYvr6+vPTSS4W+x8X3aty4cX6wAWjbti25ubns3r07f1v9+vVxcXHJ/z48PJyEhIRrutfF96xUqVJ+sAGoV68egYGB7Ny5E4CnnnqKBx98kC5duvCvf/2L/fv35x/7+OOP8+abb9K2bVteeeUVtm7del11XAtTW27Onj1L48aNeeCBB+jXr1+hz0tKSmLIkCF07ty5QJ+fo6tRwZfmVYLYcOg0szcd5dEONcwuSUTkxrh521pRzLjvNRg+fDijRo3ik08+4YsvvqBKlSp07twZgPHjx/P+++/zwQcf0LBhQ3x8fBgzZgyZmZmFurZhXL52oOWSLrPff/+du+++m9dee41u3boREBDAd999x/jx46/pfRiGcdm1r3TPvC6hi/fl5l7feM+r3fPi7a+++ir33nsv8+bNY8GCBbzyyit899139OnThwcffJBu3boxb948Fi1axLhx4xg/fjyjR4++rnoKw9SWm+7du/Pmm2/St2/fazrvkUce4d57771iMnZ0F895c6X/IUREnIrFYuseKulXIcbbXGzAgAG4uLgwbdo0vvzySx544IH8D+bVq1dz5513ct9999G4cWOqV6/O3r17C33tevXqERsby7FjF0Leb7/9VuCYNWvWUKVKFcaOHUvz5s2pWbPmZU9wubu7k5OT87f3iomJ4ezZswWubbVaqVWrVqFrvhZ57+/w4Qtzte3YsYOkpCTq1q2bv61WrVo8+eSTLFq0iL59+/LFF1/k76tUqRIjRoxg9uzZ/OMf/+Czzz4rllrzON3TUl988QX79+/nlVdeKdTxGRkZJCcnF3iZqUejcLzdXfjr5Fk2Hjptai0iImWFr68vAwcO5MUXX+TYsWMMHTo0f19UVBSLFy9m7dq17Ny5k0ceeYT4+PhCX7tLly7Url2bIUOGsGXLFlavXs3YsWMLHBMVFUVsbCzfffcd+/fv58MPP2TOnDkFjqlatSoHDhwgJiaGkydPkpGRcdm9Bg0ahKenJ/fffz9//vkny5cvZ/To0QwePDh/vM31ysnJISYmpsBrx44ddOnShUaNGjFo0CA2bdrEunXrGDJkCLfccgvNmzfn3LlzjBo1ihUrVnDo0CHWrFnD+vXr84PPmDFjWLhwIQcOHGDTpk0sW7asQCgqDk4Vbvbu3cvzzz/P1KlTcXUtXI/auHHjCAgIyH9d3GdoBl8PV3o2tA0m1mKaIiIlZ/jw4Zw+fZouXbpQuXLl/O0vvfQSzZo1o1u3bnTo0IGwsDB69+5d6OtarVbmzJlDRkYGLVu25MEHH+Stt94qcMydd97Jk08+yahRo2jSpAlr167lpZdeKnBMv379uO222+jYsSMVKlS44uPo3t7eLFy4kFOnTtGiRQv69+9P586d+fjjj6/tP8YVpKam0rRp0wKvHj165I+JDQoK4uabb6ZLly5Ur16d6dOnA+Di4kJiYiJDhgyhVq1aDBgwgO7du/Paa68BttA0cuRI6taty2233Ubt2rX59NNPb7heeyyGg/SNWCwW5syZc9W/UDk5Odx0000MHz6cESNGALY+vrlz5xITE3PV62ZkZBRIv8nJyVSqVImkpCT8/f2L8i0U2vqDp7hr4m94u7uwfmwXfDz00JqIOL709HQOHDhAtWrV8PT0NLscKYXs/R1LTk4mICCgUJ/fTvOpmpKSwoYNG9i8eTOjRo0CbHMLGIaBq6srixYtolOnTped5+Hh4XAzOzavEkS18j4cOHmWedvi8sfhiIiIyI1zmm4pf39/tm3bVqAvcMSIEdSuXZuYmJhCzUXgKCwWC/2jbY8MajFNERGRomVqy01qair79u3L/z5vIFW5cuWoXLkyL7zwAkePHuWrr77CarXSoEGDAueHhITg6el52XZn0K9ZJOMX7Wb9wdP8dSKV6hWKd7ZGERGRssLUlpsNGzbkD1oC2yRATZs25eWXXwZsK6Fe6wRHziIswJNbalUAYMZGLaYpIiJSVBxmQHFJuZYBScVtwbY4Hp26iRA/D9Y+3wlXF6fpJRSRMihvsGfVqlXx8vIyuxwphc6dO8fBgwdveECxPk1N1LluKOV83ElIyWDV3hNmlyMiYlferLdpaSYslCllQt6s0BcvHXE9nOZpqdLI3dVK7yYVmbzmAN+vP0KnOjc2AZOISHFycXEhMDAwf40ib2/vqy4FIHKtcnNzOXHiBN7e3oWey+5qFG5MNqBFJJPXHGDJzuMkpmYQ7OtYj62LiFwsb8Xq612EUcQeq9VK5cqVbzg0K9yYrE6YP40iA9h6JIk5m4/yYPviXwpeROR6WSwWwsPDCQkJISsry+xypJRxd3fHar3xETMKNw7gruaV2HokiRkbjjC8XTU184qIw3NxcbnhcREixUUDih3AHY0j8HC1svt4CtuOJpldjoiIiFNTuHEAAV5u3NbA1o+txTRFRERujMKNg8hbX+qHmGOkZ+WYXI2IiIjzUrhxEK2rB1Mx0IuU9GwWbo83uxwRERGnpXDjIKxWC3c1ty2mqa4pERGR66dw40D6R0discCafYkcPqUZQEVERK6Hwo0DiQzypm2N8gDM1GKaIiIi10XhxsHkdU3N3HiE3NwytaapiIhIkVC4cTDd6ofh5+nK0TPnWLs/0exyREREnI7CjYPxdHPhziYRgAYWi4iIXA+FGweUN+fNL9vjSUrT2i0iIiLXQuHGATWsGECdMD8ys3P5cctRs8sRERFxKgo3DshisXDX+dab7zfoqSkREZFroXDjoHo3icDNxcK2o0nsOJZsdjkiIiJOQ+HGQQX7etClbigAMzZqYLGIiEhhKdw4sLyBxXM3HyUjW4tpioiIFIbCjQNrX7M8of4enE7LYunOBLPLERERcQoKNw7M1cVKv2a2GYtnaM4bERGRQlG4cXB5T02t3HOC+KR0k6sRERFxfAo3Dq5aeR9aVi1HrgGzNumxcBERkb+jcOME8hbTnLHhMIahxTRFRETsUbhxAj0ahuPj7sLBxDTWHzxtdjkiIiIOTeHGCfh4uHJ7Iy2mKSIiUhgKN05iQAtb19S8rXGkZmSbXI2IiIjjUrhxEs0qB1G9gg/nsnKYt/WY2eWIiIg4LIUbJ2GxWPJnLNZimiIiIlencONE+jatiIvVwsZDp9mXkGp2OSIiIg5J4caJhPh70qFWBUCLaYqIiFyNwo2TyZuxeNbGo2Tl5JpcjYiIiONRuHEyneqEEOzjzsnUDFbuPmF2OSIiIg5H4cbJuLta6dO0IqA5b0RERK5E4cYJ5XVNLduVwImUDJOrERERcSwKN06odpgfjSsFkp1rMHfzUbPLERERcSgKN05qwPnFNL/XYpoiIiIFKNw4qV6NI/BwtbI3IZUtR5LMLkdERMRhKNw4KX9PN3o0DAc0sFhERORiCjdO7K7zXVM/xRzjXGaOydWIiIg4BoUbJ3ZTtWAqlfMiJSObX7bHmV2OiIiIQ1C4cWJWq4W7os8vprlei2mKiIiAwo3T6xcdicUCv/2VSGximtnliIiImE7hxslVDPSiXVR5AGZqMU0RERGFm9JgwPkZi2duPEJOrua8ERGRsk3hphS4tV4oAV5uHEtKZ82+k2aXIyIiYiqFm1LA082F3k0iAM15IyIionBTSuQtprlo+3HOpGWaXI2IiIh5FG5KiQYVA6gb7k9mTi4/xBwzuxwRERHTKNyUIhcvpikiIlJWKdyUIr2bVMTdxcr2Y8n8eVSLaYqISNmkcFOKBPm4c2u9UMD2WLiIiEhZpHBTyuQtpjln81HSs7SYpoiIlD0KN0Xp0FpIOmpqCe1rViDM35Okc1ks2Xnc1FpERETMoHBTVE7uhWl3w2cd4fB608pwsVroH21rvZmxQV1TIiJS9ijcFBUXNwioCKnHYUpPiPnWtFLyws2qvSc4duacaXWIiIiYQeGmqARVheGLoHZPyMmAuSNg0T8ht+THvVQt70OrauUwDJi9Sa03IiJStijcFCUPPxj4Ddz8jO37tR/BtAGQXvKPZectpvn9hiPkajFNEREpQxRuiprVCp3+Cf0ng6sX7FsCn3WGk/tKtIzuDcPw9XAl9lQa6w6eKtF7i4iImEnhprg06AfDFoB/RUjcC//rBPuWltjtvd1d6dU4HNCMxSIiUrYo3BSniKbw0HKIbGnrmpraH377FIyS6SbKW0xz/rY4UtKzSuSeIiIiZlO4KW5+oTD0Z2gyCIxcWPgC/DgKsjOK/dZNKwUSFeJLelYuP2+NK/b7iYiIOAKFm5Lg6gF3fgLd3gaLFTZ/A1/2gtSEYr2txWLRYpoiIlLmKNyUFIsFWo+EQTPAIwAO/wGTOkDclmK9bZ+mkbhYLWyOPcPe4ynFei8RERFHYGq4WbVqFb169SIiIgKLxcLcuXPtHj979mxuvfVWKlSogL+/P61bt2bhwoUlU2xRieoCDy2D4ChIPgqfd4Ptc4rtdhX8POhUJwSAGVpMU0REygBTw83Zs2dp3LgxH3/8caGOX7VqFbfeeivz589n48aNdOzYkV69erF58+ZirrSIlY+CB5dCjc6QfQ5mDIVlb0FubrHcLm/Om9mbjpCVUzz3EBERcRQWwyihR3f+hsViYc6cOfTu3fuazqtfvz4DBw7k5ZdfLtTxycnJBAQEkJSUhL+//3VUWoRyc2Dxy/Db+XBX53bo81/w8C3S22Tl5NJ63DJOpmYwaXA0XeuHFen1RUREitu1fH479Zib3NxcUlJSKFeu3FWPycjIIDk5ucDLYVhdoNtb0HsCuLjDrp/h865w+lCR3sbNxUrfZhUB24zFIiIipZlTh5vx48dz9uxZBgwYcNVjxo0bR0BAQP6rUqVKJVhhITW5F4bOA58QSNhuW1n84K9Feou7zi+muXx3Agkp6UV6bREREUfitOHm22+/5dVXX2X69OmEhIRc9bgXXniBpKSk/Nfhww76SHSllvDwCghvAmmJ8NWdsOGLIrt8zVA/mlYOJCfXYM6mo0V2XREREUfjlOFm+vTpDB8+nO+//54uXbrYPdbDwwN/f/8CL4cVUBEeWGBbuiE3G34eA/OehpyimV34wmKah3GQoVYiIiJFzunCzbfffsvQoUOZNm0aPXv2NLucoufuDf0+h04v2b5f/xl83QfSbnzxy9sbhePpZmX/ibNsPnzmhq8nIiLiiEwNN6mpqcTExBATEwPAgQMHiImJITY2FrB1KQ0ZMiT/+G+//ZYhQ4Ywfvx4brrpJuLj44mPjycpKcmM8ouPxQI3Pw13TwN3Xzi42jYOJ2HnDV3Wz9ONHg1ti2nO0IzFIiJSSpkabjZs2EDTpk1p2rQpAE899RRNmzbNf6w7Li4uP+gA/Pe//yU7O5uRI0cSHh6e/3riiSdMqb/Y1ekJwxdDYBU4fRD+1wV2L7ihS+Z1Tf20JY60zOwiKFJERMSxOMw8NyXFoea5KayziTDjflsLDhbo/BK0e8rWwnONDMOgw3srOJSYxvi7GtPv/FNUIiIijqzMzHNTZvgEw+A50OJBwIClr8OsByHr3DVfymKx5D8WrsU0RUSkNFK4cRYubtBzPPT8D1hd4c+ZMPk2SLr2x7r7RUdiscAfB05x8OTZYihWRETEPAo3zqbFcBg8F7zKQVyMbaDx4fXXdInwAC9urlkBgJlaTFNEREoZhRtnVK09PLwcQupB6nGY0hNivr2mS+QNLJ658Qg5uWVq2JWIiJRyCjfOKqgqDF8EtXtCTgbMHQGL/mlbjLMQutQLIdDbjfjkdFbvPVG8tYqIiJQghRtn5uEHA7+Bm5+xfb/2I5g2ANL/ft4fD1cXejexLaY5Q4tpiohIKaJw4+ysVuj0T+g/GVy9YN8S+KwznNz3t6fmdU0t2hHPqbOZxV2piIhIiVC4KS0a9INhv4B/RUjcC//rBPuW2j2lXoQ/DSr6k5Vj8EOMFtMUEZHSQeGmNIloAg8th8iWtq6pqf3h9wlgZ57GvNab6eu1mKaIiJQOCjeljV8oDP0ZmgwCIxd+eR5+HAXZGVc8/I7GEbi7WtkVn8L2Y8klXKyIiEjRU7gpjVw94M5PoNvbYLHC5m/gy16QmnDZoYHe7nStFwpoxmIRESkdFG5KK4sFWo+EQTPAIwAO/wGTOkLclssOzeuamrv5KOlZhXuUXERExFEp3JR2UV3goWUQXBOSj8Dn3WD7nAKHtI0qT0SAJ8np2SzacdykQkVERIqGwk1ZUD4KHlxiCzrZ52DGUFj2FuTmAuBitdD//GKaM9Q1JSIiTk7hpqzwCoR7v4fWo2zfr/o3fD8YMlIB6B9t65r6dd9Jjp659tXGRUREHIXCTVlidYFub0HvCeDiDrt+hs+7wulDVA72pnX1YAwDZmkxTRERcWIKN2VRk3th6HzwCYGE7baVxQ/+yoAW57umNh4mV4tpioiIk1K4KasqtYCHV0B4E0hLhK/upGfmQvw8XDl86hy/H0g0u0IREZHronBTlgVUhAcW2JZuyM3GfcFTTCr/Ha5kazFNERFxWgo3ZZ27N/T7HDq9BEDrxNl85fYv1m7bw844zVgsIiLOR+FGbBP+3fw03D0Nw92XNi47mG79J89+/jOHT6WZXZ2IiMg1UbiRC+r0xDJ8MbkBlalqPc6ErJd49n8/cTL1yutSiYiIOCKFGykotB7W4QvJDqxOpOUk7519gRc//5HUjGyzKxMRESkUhRu5nH8ErsMXkBkURUVLIq+depZXJ/9AZnau2ZWJiIj8LYUbuTK/MNyHL+BcYE3CLad4Jv4p/v3Nj5r/RkREHJ7CjVydbwheD/1CamBtQi1neOTA40yY8TOGoYAjIiKOS+FG7PMpj+9DCzgTUIcKliQG7niM6T//YnZVIiIiV6VwI3/PJ5jARxZwwq8e5S3JdN3wIAuXLDK7KhERkStSuJHC8S5HhccWcMynPuUsqbRaPZTff11qdlUiIiKXUbiRwvMKJHzUfA561SfQcpZ6i+9j+7plZlclIiJSgMKNXBOLVyCRoxewx6MB/pY0Ks+/l4Mxy80uS0REJJ/CjVwzV+8AKo2ez59ujfDjHBXm3k3Cnwo4IiLiGBRu5Lp4+QYQOeonNrk0xod0/GbeTfIuBRwRETGfwo1ct8CAQMIfm8sfliZ4kY7HdwM5t1uDjEVExFwKN3JDwoPLUf6hWaymKR5k4PLd3WTtXmJ2WSIiUoYp3MgNqxFRHr/7v2Op0Rx3IxO+u5vc3QvNLktERMoohRspEk2qheE68Et+yW2Jm5FF7neDMHbNN7ssEREpgxRupMjcUi+S9Dsn8XNOK1yNLHKnD4adP5ldloiIlDEKN1KkekdX43iXj/khpw0uRja53w+F7XPNLsu5pcRD7B+gBUtFRApF4UaK3PBbarHzpneZldMOq5FN7sxhsG2m2WU5n+xM+PUD+LApTO4Kaz4wuyIREaegcCPF4rke9fmtwRt8n30LViMHY/ZDsGW62WU5j4O/wn/bw5JXICvNtm3Jq/DnbFPLEhFxBgo3UiwsFgvj+jdhYY2xTMvuiMXIxZjzCGyeanZpji01AWY/AlN6wold4F0eek+Alo/Y9s8ZYeuiEhGRq1K4kWLj5mLl40HNmRn+D77O7oIFA+OHkbDxS7NLczy5ObDuM/ioOWz9DrBA82Ewaj00uRduGwe1e0BOBnx7NyTuN7tiERGHpXAjxcrL3YXPh7biy6DRfJHdDQsG/PQ4rP+f2aU5jqOb4LNOMP9pyEiC8Mbw4FK4/X3wLmc7xuoC/f4H4U3g3CmYeheknTK1bBERR6VwI8UuyMedr4a3YpL3w3yW3cO2cd4/4I//mluY2c6dtv13+KwTxMWARwD0eA8eWg6R0Zcf7+4D934PAZXh1H747l7ISi/xskVEHN11hZvDhw9z5MiR/O/XrVvHmDFjmDRpUpEVJqVLRKAXXz/Yik/chjIhu5dt44Jn4bdPzC3MDIYBW76Dj1ucb8EyoNFAWxdUy4dsrTRX4xcKg763BaHY3+CHxyA3t8RKFxFxBtcVbu69916WL7etAB0fH8+tt97KunXrePHFF3n99deLtEApPaJC/Ph8aEv+z3IvH2X3tm1c+KLtceeyImGnbbDwnEfg7AkoXwvu/wn6TrIFl8IIqQsDvwKrK/w5C5a/Wbw1i4g4mesKN3/++SctW7YE4Pvvv6dBgwasXbuWadOmMWXKlKKsT0qZ6CpBTBjUnA9yB/B+Vj/bxiWvwKr3zC2suGWkwuKXYWI7OLQGXL2g8yswYg1Uu/nar1e9A/T60Pb16vEapC0ichHX6zkpKysLDw8PAJYsWcIdd9wBQJ06dYiLiyu66qRU6lgnhH/3a8w/ZkA2Ljzj9j0se8P2xFCH58wur2gZBuz6GRY8D8nnu3Jr94Tu/4LAyjd27aaD4PRBWPVv+PlJCIiEqM43XLKIiLO7rpab+vXrM3HiRFavXs3ixYu57bbbADh27BjBwcFFWqCUTv2iI3mxRx0+yenNv7Lutm1c8TYse7P0LDNw6gBMGwjT77MFm8DKcM93cM+0Gw82eTq+aBuvY+TA9/fD8e1Fc10RESd2XeHmnXfe4b///S8dOnTgnnvuoXHjxgD8+OOP+d1VIn/n4Ztr8FD7akzMuYO3su+zbVz1Lix9zbkDTnYGrHwXPr0J9i4Eqxu0fxoe+wNqdy/ae1kscMdHUKUtZKbYHhFPVuupiJRtFsO4vk+RnJwckpOTCQoKyt928OBBvL29CQkJKbICi1pycjIBAQEkJSXh7+9vdjllXm6uwdMztjB781Eecl/IWOv5sSOtR0HXN20f3s5k/zKY97TtUW2wjafpMR4q1Cre+6adgs+7QuJeCGsEDywAD9/ivaeISAm6ls/v62q5OXfuHBkZGfnB5tChQ3zwwQfs3r3boYONOB6r1cI7/RvRoXYFPsvsxls8aNvx28fwywvO04KTHAczHoCv+9iCjW8o9PschvxY/MEGbJP9DZphW64hfivMHAY52cV/XxERB3Rd4ebOO+/kq6++AuDMmTO0atWK8ePH07t3byZMmFCkBUrp5+Zi5dNBzWhSKZDP0jvxL9cRth1/TLDN2uvI87jkZMNvn9rmrNk+GyxWaDXCNmdNw/4l2/JUrhrcOx1cPW3dYb885zzhUESkCF1XuNm0aRPt27cHYObMmYSGhnLo0CG++uorPvzwwyItUMoGb3dXvhjaghoVfJiYejPvej6OgcU2yd28Jx0z4BxeB5M6wMIXbONdKjaHh1dA93fAM8CcmiKb2+bMyftvVxYnSRSRMu+6wk1aWhp+fn4ALFq0iL59+2K1Wrnppps4dOhQkRYoZUfeMg1h/p58cuYmPvR7CsNihY1T4KfRtkfFHUHaKfhxNHx+KxzfBp6B0Ov/YPhi27pQZqt3J3R9w/b1on/Cjh/MrUdEpIRdV7iJiopi7ty5HD58mIULF9K1a1cAEhISNEhXbkjFQC++Gt6SAC833j8RzaTg52wBZ/M3MPcxcwNObi5s+go+irb9CdD0Phi9EaKHgtWBlmprPQpaPAgYMPthOLLB7IpERErMdf1r/PLLL/P0009TtWpVWrZsSevWrQFbK07Tpk2LtEApe2qF+jF5aHM83ayMO9KQryq+gmFxga3f2ZYtMGOgbPw2mNzN1mJz7hSE1IdhC+HOT8CnfMnX83csFrjtHajZDbLTbfPtnDpgdlUiIiXiuh8Fj4+PJy4ujsaNG2M9/xvrunXr8Pf3p06dOkVaZFHSo+DOY+nO4zz89UZycg3GNzxEv/0vQW421O8DfT8DF7fiLyI9GVaMgz8mgpEL7r7Q4QVo9UjJ3P9GZaTCF91tT1AF14Thi2xPVomIOJlr+fy+7nCT58iRI1gsFipWrHgjlykxCjfOZcaGwzwzcysAk1rG0/XP5yA3C+r2gn6TwdW9eG5sGLB9jm1hz5Tzk+LV6w3d3oYA5/i7ni85Dv7XGZKPQpV2MHg2uHqYXZWIyDUp9nlucnNzef311wkICKBKlSpUrlyZwMBA3njjDXId8akWcVp3Na/E891tLYEPrwtjbYv/Axd32PkTzLjfNhtwUTu5zzZfzcwHbMGmXHW4bxYM+NL5gg2Af7htDhx3Pzj0q61rTY+Ii0gpdl3hZuzYsXz88cf861//YvPmzWzatIm3336bjz76iJdeeqmoa5Qy7pGbqzO8XTUAhqwOYkv7ieDiAbvnw/TBkJVeNDfKOgfL3oIJreGv5bZ7dHgRHv0NoroUzT3MElrfFs4sLrB1uq2rTUSklLqubqmIiAgmTpyYvxp4nh9++IHHHnuMo0ePFlmBRU3dUs4pN9fgqe9jmBtzDC83F37qkUXU0ocg+xzU6Ax3TwU3r+u/wZ5FtgkDz5yfyiCqC/R419ZqU5ps/BJ+etz29Z2f2lYWFxFxAsXeLXXq1KkrDhquU6cOp06dup5LithltVr4d//G3FyrAueycrhrsQdHe34Fbt6wfyl8ezdkpl37hc8chu8GwbS7bMHGvyIM+BoGzSx9wQYg+n5o/w/b1z89Dn+tMLUcEZHicF3hpnHjxnz88ceXbf/4449p1KjRDRclciXurlYmDGpG40qBnE7L4q5fXDjZexq4+dg+pKcNgMyzhbtYThb8+gF80hJ2/WzrrmkzGkaug3p3ON+Cndei4z+hQT/bk2fTh0DCTrMrEhEpUtfVLbVy5Up69uxJ5cqVad26NRaLhbVr13L48GHmz5+fvzSDI1K3lPM7dTaT/hPX8teJs9QM8WV2Lxf8ZtxtWwKhchsY9D14+F39AgfXwLyn4MQu2/eVW0PP8bZxKWVFVjp83Rtif4OASvDgUvALNbsqEZGrKvZuqVtuuYU9e/bQp08fzpw5w6lTp+jbty/bt2/niy++uK6iRQqrnI87Xw1rSai/B3sTUhm6xEr6PbPAIwBi18I3/Wzz01wqNQHmjIApPWzBxjsYek+ABxaUrWAD4OYJd0+DcjUg6TB8O7DwrV4iIg7uuueLj4iI4K233mLWrFnMnj2bN998k9OnT/Pll18W+hqrVq2iV69eREREYLFYmDt37t+es3LlSqKjo/H09KR69epMnDjxet+COLHIIG++GtYKf09XNh46zciVVrLvm2Nb5+nwH7ZHuc+dsR2cm2NbRPLj5rDlW8ACzYfBqA3Q5N7S3QVlj3c52yPiXuXg2GaY9aDjrN8lInIDTF0M5+zZs1cdv3MlBw4coEePHrRv357Nmzfz4osv8vjjjzNr1qxirlQcUe0wPz4f2gIPVytLdyXwwu+uGEN+AK8gOLrB1u3y1wrbBHbz/gHpSbaFLR9cCre/r5l6AYJrwD3fXXi0fuFYsysSEblhNzxD8cW2bNlCs2bNyMm59t/+LBYLc+bMoXfv3lc95rnnnuPHH39k584LAyBHjBjBli1b+O233wp1H425KX0W7zjOiG9syzQ82qEGzzXJgq/uhLTECwd5+EOnl6DFcLC6mFeso9o+B2YMtX1927/gpkdNLUdE5FLFPubGLL/99lv+CuR5unXrxoYNG8jKyrriORkZGSQnJxd4Selya71QxvVpCMCEFfv5fJ8v3P8z+FSwHdBwgK0LqtXDCjZXU78PdHnN9vUvL8CueebWIyJyA1yv5eC+ffva3X/mzJkbqeVvxcfHExpa8ImO0NBQsrOzOXnyJOHh4ZedM27cOF577bVirUvMN6BFJU6ezeDfv+zmjZ93EDywCb1HrrMNIg5x3IVcHUrbJ+D0Qdj4BcwcDg/Mg4rRZlclInLNrqnlJiAgwO6rSpUqDBkypLhqBWzdVxfL61W7dHueF154gaSkpPzX4cOHi7U+Mc+jt9TggbZVAXh6xhZWHslRsLkWFgv0eM82O3P2OZh2N5w+ZHZVIiLX7Jpabsx+zDssLIz4+PgC2xISEnB1dSU4OPiK53h4eODhoRWQywKLxcJLPeuRmJrJj1uO8eg3G5n20E00qRRodmnOw8UV7poCk7vD8W0w9S4Yvgi8As2uTESk0JxqzE3r1q1ZvHhxgW2LFi2iefPmuLm5mVSVOBKr1cJ7dzWmfc3ypGXmMPSLdSzYFmd2Wc7Fww/unQ5+EXByN3w/GLIzza5KRKTQTA03qampxMTEEBMTA9ge9Y6JiSE2NhawdSld3M01YsQIDh06xFNPPcXOnTuZPHkyn3/+OU8//bQZ5YuDcne1MvG+aJpUCuRMWhaPTt3EyKmbOJmaYXZpziOgom2mZ3dfOLAKfnoCiu7BShGRYmVquNmwYQNNmzaladOmADz11FM0bdqUl19+GYC4uLj8oANQrVo15s+fz4oVK2jSpAlvvPEGH374If369TOlfnFcPh6uTH/kJkZ1jMLFamHetji6vr+Kn7YcowhnPyjdwhrauqgsLrBlGqx61+yKREQKpUjnuXEGmuem7PnzaBJPz9jCrvgUALrVD+WN3g0I8fM0uTInsWEy/Pyk7es+k6DxQHPrEZEyqdTOcyNyPRpUDODHUe0Y06UmrlYLC7cf59b/rGL2piNqxSmM5sNsj4kD/DASDqw2tx4Rkb+hcCNlgrurlTFdavHT6HY0qOhP0rksnvp+Cw9+uYH4pHSzy3N8nV+Fer0hNwumD4ITu82uSETkqhRupEypG+7PnMfa8ky32ri72NakuvX9lXy//rBaceyxWqHPRIhsaVuja+pdkHrC7KpERK5I4UbKHDcXKyM7RvHz4+1oXCmQlPRsnp21lfu/WM/RM+fMLs9xuXnBPd9CUDU4cwi+vRsy08yuSkTkMgo3UmbVCvVj1ojWvNC9Du6uVlbtOUG391cx9Y9DasW5Gp/yMGjmhZXXZz8Eude+UK6ISHFSuJEyzdXFyiO31GDBE+2JrhJEakY2Y+f8yaD//cHhU2qVuKLyUXD3t+DiDrt+hsUvm12RiEgBCjciQI0Kvnz/SGteur0enm5W1u5PpNsHq/hy7UFyc9WKc5kqraH3BNvXv30M6z4ztx4RkYso3Iic52K1MLxdNX554mZaVitHWmYOr/y4nbs/+52DJ8+aXZ7jadgfOr1k+3rBs7D7F3PrERE5T+FG5BJVy/vw3UM38dod9fF2d2HdgVPc9n+r+N/qv8hRK05B7f8BTQeDkQszh8GxGLMrEhFRuBG5EqvVwv1tqrJwzM20qRFMelYub87byYD//sb+E6lml+c4LBa4/X2o3hGyzsK0gXDmsNlViUgZp3AjYkelct5MfbAVb/dpiK+HKxsPnab7/61m4sr9ZOfkml2eY3BxgwFfQkg9SI2HaQNsc+GIyLXJPKunD4uI1pYSKaSjZ87xwuxtrNpjm7yucWQA797VmFqhfiZX5iDOHIb/dbEFnOodYdAMW/ARkStLiYdDa+DgGji0Fk7sBO9giLoVanWFGp3BK9DsKh3GtXx+K9yIXAPDMJix8Qhv/LyDlPRs3F2sPN45ikduqYGbixpCORYDX/SwdVE1HQx3fGTruhIp6wwDzsTaQsyhNbbXqb/sn2NxgcqtbUGn1m1QvlaZ/v9J4cYOhRspCvFJ6bw4ZxvLdiUAUD/Cn/fuakzdcP2dYs9C2+zFRi50ftk26FikrDEMSNxXsGUm+cglB1kgrCFUbQdV2kBkC9s5exbaXicvWcMtsIot5NTqClXagZtnib0dR6BwY4fCjRQVwzCYG3OUV3/cQdK5LFytFkZ2jGJkxyjcXct4K866z2D+07av+31ue2xcpDTLzYWEHedbZn61/Xn2kvXXrK4Q0cwWZKq0hcqtwDPg6tc8dQD2LrIFnYOrISfzwj43H6jewRZ0anYD//BieVuOROHGDoUbKWoJKem8NPdPFm4/DkCdMD/eu6sxDSra+UerLFg41jbBn4s7DPnB9g+6SGmRkw3xW2wh5uAaiP0N0s8UPMbV09YaU6XNhZYZd5/ru19GKhxYaQs6exdBSlzB/WGNzrfqdLMFKGvp+wVL4cYOhRspDoZh8PPWOF75cTunzmbiYrUw4pbqPN65Jh6uLmaXZ47cXJgxBHb+ZFuLavgS29INIs4oOwOObrowXubwOsi8ZFoId1+o1OpCy0zFZuDqUfS1GAbEb73QfXV0I3DRR7l3eajZ9fyg5E72W4eciMKNHQo3UpxOpmbwyg/bmbfN9ltVzRBf3r2rMU0qBZpbmFky0+DLXrZFNoOqwYNLbItviji6zLNwZP2Flpkj6yEno+AxnoEXWmWqtIGwxuDiWvK1pp6AfYttQWf/MshIvrDP6np+UHI3W8tOcJTTDkpWuLFD4UZKwoJtcbz0w5+cTM3EaoGH2lfnyVtr4elWBltxUk/A/zrDmUNQMRoa32P7DdfD9/yffhf+zNtmLYP/ncRc6UkQ+8eF8TLHNkNudsFjfCrYWmSqtLWFmZB6jtf9k5Nl6yLLa9VJ3Ftwf1C1iwYlty2elqVionBjh8KNlJTTZzN57aftzI05BkD1Cj68278R0VXKmVyZCU7sgc+7FH5yPzfvSwKQ/0VfXxSK8oORL7j7FTzGw9/2tauH0/6mKsXobCLEnm+VObQGjv9pe8LvYv6RULXthW4mZ2z1SNx/0aDkXyE368I+d9/zg5K72bqx/MJMK7MwFG7sULiRkrZ4x3HGztlGQkoGFgs80KYaz3SrjZd7GWudiN9me4rq3GnbWIWM1At/ZiTbvr70N+WiYHW9pIXoktaiQgem89sd7Td1KZzkuAvjZQ6thRO7Lj+mXI0LQaZKGwiqUvJ1FqeMFPhrBez5BfYuhtTjBfeHN7nQqhPe1OH+rivc2KFwI2ZISsvi9Z93MGuTbZ6LKsHevNOvETdVDza5MgdiGLZBm5mptn+E84NPCmSmFAxDmSm27ZdtS71wflZa8dTp5mObNTakru3DIKIpRDQB/4rO91t9aWUYtm7QQxe1zJw+cPlxFepeaJmp3KZMPE6dLzfX9rRXXvfVsU0F9/uEXBiUXL0jeJr/ealwY4fCjZhp+e4EXpy9jbikdACGtK7Cc7fVwcfDhEGIpV1uzuUtRJeFor8LUedblTJSwfibNX+8y9tCTngT258RTRV4SophwMm9BVtmko8WPMZitU2YV+X8hHmVW4OPfrnIl3L8/KDkX2D/8oJPglndbP/N8h41D65hSokKN3Yo3IjZktOzGDd/J9+us62eHRnkxTv9GtE2Sk8ROSzDgOz0CwHp7EmI2wJxMXBsi23ytiuFn0sDT3gTCIhU4LlehgHJx2wz957Yc+HPEzshLbHgsXkT5lU9PwC4UstS80h0scvOtIXEvYtsYefSZSLK1bjQfVW5Dbi6l0hZCjd2KNyIo1i99wTPz9rG0TPnALinZWVe7FEHP08tNul0ss7B8e22J2zyAs+JnVceQ+QdXLA7S4HncjnZcPrg+fCyG07uOf/nXlu4vJL8CfPaXjRhnneJll1qndwHexfags6htQX/Xrv7QY2OFwYl+4YUWxkKN3Yo3IgjSc3I5l8LdvLN77EARAR4Mq5fI26pVcHkyuSGZaXbAk/cZlvoKVTgaWILPWUl8GSdswWW/PByviXm1P6CSw1czOIC5apDhdq2hSTz/gyt71SPNTut9GT4a/mFmZIvXWIiotmFVp2wxkU6KFnhxg6FG3FEa/ef5PlZ24g9ZRsEe1d0JP+8vR4BXmrFKVUKBJ4YWytPQiECT96fAZWcM/CcO31RN9JFLTFnYikws+7FXL2gfM3z4aU2VKhl+7Nc9RLrBpG/kZtrC+55rTpxWy7sc/WEZw8UaeuZwo0dCjfiqNIys3l34W6mrD2IYUCovwdv92lI57qhZpcmxam0BB7DgJT4S8bDnH+dTbj6eV5BBcNLXktMQCWHexRZ/kZy3IWZkl3c4K4pRXt5hZurU7gRR7f+4CmenbmVAyfPAtCnaUVe6VWPQG/9tlpmZKVDwnZb2Mkbx2M38DQuOI6nOANPbs758TB7LhkPs6fgtP+X8q9YsBspr0XGp7xjhDNxeAo3dijciDNIz8rhP4v38L/Vf5FrQHlfd0Z2jOKelpXL5hIOUjDwxMXY/kzYceXA41Xu8sfSrzXwZKVD4r7Ln0xK3Hf5Gkt5LC5QrtolLTG1bGHGw+9a37FIAQo3dijciDPZFHuaZ2ZsYf8JWytOiJ8Hj3Wowd0KOQI3FnjCm0BgZVtryxXHwxy6fDmCPK6eEFzTFlwq1LnQElOuugb1SrFRuLFD4UacTWZ2LjM2HuaTZfs4dn7yv1B/Dx7rEMXAFpUUcqSg7IzzY3hiLnRrJewsuKZQHjcfyDp79Wt5Blx5PExgZS1uKiVO4cYOhRtxVhnZOczYcIRPlyvkyDW6NPDExcDxHRcCj1/4lcfD+IZoPIw4DIUbOxRuxNllZOfw/fmQk7eMQ5i/J491rMHAFpXwcFXIkULIzrANDPYL08y94hQUbuxQuJHS4kohJzzAk8c61GCAQo6IlDIKN3Yo3Ehpk5Gdw/frD/PJ8v3EJ18UcjpGMaB5pEKOiJQKCjd2KNxIaZWelcP3Gw7zyfJ9HE+2PaobcT7k3KWQIyJOTuHGDoUbKe3Ss3KYvv4wn64oGHJGdoriruhKuLtq1lcRcT4KN3Yo3EhZkZ6Vw3frYvl0xX4SUmwhp2KgFyM7RtE/OlIhR0ScisKNHQo3UtakZ+Xw7bpYJlwSckZ1iqJfM4UcEXEOCjd2KNxIWZWelcO0P2KZsHI/Jy4JOf2jI3FzUcgREcelcGOHwo2UdelZOUz9w9aSczLVFnIig7wY1TGKfgo5IuKgFG7sULgRsTmXmcO0dZeHnNGdoujbTCFHRByLwo0dCjciBZ3LzGHqH4eYuPKv/JBTqZwXozvWpE+zigo5IuIQFG7sULgRubILIWc/J1MzAahczptRnaLo01QhR0TMpXBjh8KNiH1pmdlM/T2WiSv3k3jWFnKqBHszqqMt5Lgq5IiICRRu7FC4ESmctMxsvvn9EP9d+VeBkDO6U016N4lQyBGREqVwY4fCjci1ScvM5uvfDvHfVX9x6nzIqXo+5NypkCMiJUThxg6FG5HrczYjm69/P8QkhRwRMYHCjR0KNyI35mxGNl/9dohJq/ZzOi0LgGrlfRjdKYo7GivkiEjxULixQ+FGpGhcKeRUL+/D6M5R3NG4Ii5Wi8kVikhponBjh8KNSNFKzcjmq98OMmnVX5zJCzkVfHi8U016NY5QyBGRIqFwY4fCjUjxSM3I5su1B/lsdcGQ80TnmtzeSCFHRG6Mwo0dCjcixSslPet8d9VfJJ2zhZwaFXx4XCFHRG6Awo0dCjciJSMlPet8S86B/JATFeLLyI416NVIA49F5Noo3NihcCNSslLSs5iyxtZdlZyeDdiWdRhxSw36RVfEw9XF5ApFxBko3NihcCNijuT0LL7+7RCf/3ogf56cUH8PHmpfnXtbVcbb3dXkCkXEkSnc2KFwI2Kuc5k5fLsulkmr/iI+OR2Acj7uDGtblcGtqxLg5WZyhSLiiBRu7FC4EXEMGdk5zN50lAkr9hN7Kg0APw9XhrSpwrC21Qj29TC5QhFxJAo3dijciDiW7Jxcft4axyfL97E3IRUALzcX7mlZmYdvrk5YgKfJFYqII1C4sUPhRsQx5eYaLNpxnE+W72Pb0SQA3F2s9IuOZMQt1akS7GNyhSJiJoUbOxRuRBybYRis2nuST5btY93BUwBYLXBH4wge6xhFrVA/kysUETMo3NihcCPiPNYdOMUny/excs+J/G3d6ocyqmNNGkYGmFiZiJQ0hRs7FG5EnM+2I0l8snwfv2yPz992c60KjOoYRctq5UysTERKisKNHQo3Is5r7/EUPl2xnx+3HCMn1/ZPV4uqQYzsGMUttSpgsWhpB5HSSuHGDoUbEecXm5jGhJX7mbXxCJk5uQA0rBjAyI416FovDKvWrxIpda7l89v0xV0+/fRTqlWrhqenJ9HR0axevdru8VOnTqVx48Z4e3sTHh7OAw88QGJiYglVKyKOoHKwN+P6NmTVsx0Z3q4aXm4ubDuaxIhvNtHtg1XM2XyE7POhR0TKHlPDzfTp0xkzZgxjx45l8+bNtG/fnu7duxMbG3vF43/99VeGDBnC8OHD2b59OzNmzGD9+vU8+OCDJVy5iDiCsABPXrq9Hr8+15FRHaPw83Blb0IqT07fQqfxK5n2RywZ2TlmlykiJczUbqlWrVrRrFkzJkyYkL+tbt269O7dm3Hjxl12/HvvvceECRPYv39//raPPvqIf//73xw+fLhQ91S3lEjpdaX1q8L8PXno5urc07KS1q8ScWJO0S2VmZnJxo0b6dq1a4HtXbt2Ze3atVc8p02bNhw5coT58+djGAbHjx9n5syZ9OzZ86r3ycjIIDk5ucBLREonf083RnaM4tfnOvLS7fUI8/ckPjmdN37eQbt3lvPJ8n0kp2eZXaaIFDPTws3JkyfJyckhNDS0wPbQ0FDi4+OveE6bNm2YOnUqAwcOxN3dnbCwMAIDA/noo4+uep9x48YREBCQ/6pUqVKRvg8RcTze7q4Mb1eNlc92YFzfhlQu582ps5m8u3A3bcct492Fu0hMzTC7TBEpJqYPKL700U3DMK76OOeOHTt4/PHHefnll9m4cSO//PILBw4cYMSIEVe9/gsvvEBSUlL+q7DdVyLi/DxcbWtULfvHLXwwsAk1Q3xJycjmk+X7affOcl7/aQfxSelmlykiRcy0MTeZmZl4e3szY8YM+vTpk7/9iSeeICYmhpUrV152zuDBg0lPT2fGjBn523799Vfat2/PsWPHCA8P/9v7asyNSNllb/2qR2+pQeVgb5MrFJGrcYoxN+7u7kRHR7N48eIC2xcvXkybNm2ueE5aWhpWa8GSXVxcAFuLj4iIPVarhdsahPHjqLZ8OawlLauWIzMnl2/XxdJx/AqenB7D3uMpZpcpIjfI1Kelpk+fzuDBg5k4cSKtW7dm0qRJfPbZZ2zfvp0qVarwwgsvcPToUb766isApkyZwkMPPcSHH35It27diIuLY8yYMVitVv74449C3VMtNyJysSutX3Vb/TBGdozS+lUiDuRaPr9NfS5y4MCBJCYm8vrrrxMXF0eDBg2YP38+VapUASAuLq7AnDdDhw4lJSWFjz/+mH/84x8EBgbSqVMn3nnnHbPegog4uZbVytGyWssC61flvbR+lYhz0vILIiIXudL6VS2rlmNkpyhurlle61eJmERrS9mhcCMihXH19aui6FovVOtXiZQwhRs7FG5E5FrEJ6UzadVfTFt3iPQsW8ipGeLLfTdV4Y7GEQT5uJtcoUjZoHBjh8KNiFyPxNQMJq85wFdrD5GSkQ2Am4uFznVC6R8dyS21K+DmYvrUYSKllsKNHQo3InIjktOzmLXxCLM2HeHPoxeWcynv686dTSrSPzqSuuH6t0WkqCnc2KFwIyJFZVd8MrM2HmHO5qOcTM3M314/wp/+0ZHc2aQi5dRtJVIkFG7sULgRkaKWlZPLqj0nmLnxCEt2Hicrx/bPqpuLhY61Q+gfHUnHOiHqthK5AQo3dijciEhxOn02k5+2HmPmxiNsPZKUvz3Yx507mkTQPzqS+hGaHFDkWinc2KFwIyIlZc/xFGZtPMLszUc5kXJhFfK64XndVhGU9/UwsUIR56FwY4fCjYiUtOycXFbvPcnMjUdYvON4/rw5rlYLHc53W3WqE4K7q7qtRK5G4cYOhRsRMdOZtEx+2hrHzI1H2HL4TP72IG+3/Ket6kf4ayZkkUso3NihcCMijmLv8RRmbjrCnE1HSbio26pOmF/+01YV/NRtJQIKN3Yp3IiIo8nOyeXXfbZuq0U7jpOZbeu2crFa6FCrgq3bqm4IHq4uJlcqYh6FGzsUbkTEkSWlZfHT1mPM2nSEzbFn8rcHertxZ+MI+kdXokFFdVtJ2aNwY4fCjYg4i30JqczadITZm45wPPlCt1WtUF/6R0fSu0lFQvw9TaxQpOQo3NihcCMiziYn12DN+W6rhdvjybio2+rmmuXpH12JznVD8HRTt5WUXgo3dijciIgzSzqXxbytcczadISNh07nbw/wcuOOxrZJAhtFBqjbSkodhRs7FG5EpLT460Ret9VR4pLS87dHhdi6rfo0rUiouq2klFC4sUPhRkRKm5xcg9/2JzJz42EW/Hmh28pqgZtrVaBfs0hurReqbitxago3dijciEhplpyexfzz3VbrD17otvL3dKXX+W6rJpUC1W0lTkfhxg6FGxEpKw6cPMvsTUeYtfEIxy7qtqpewYf+0ZH0bRpJWIC6rcQ5KNzYoXAjImVNbq7Bb38lMmvjEeb/GUd61oVuq7ZR5enTtCLd6ofh4+FqcqUiV6dwY4fCjYiUZSnpWSzYFs/MjUdYd/BU/nZvdxduqx9Gn2YVaVOjPC5WdVuJY1G4sUPhRkTEJjYxjTmbjzJ78xEOJablbw/196B3k4r0aVaROmH6d1Icg8KNHQo3IiIFGYbBptgzzNl8hJ+2xJF0Lit/X71wf/o2q8gdTSII8dP4HDGPwo0dCjciIleXkZ3D8l0nmL3pCMt3J5CVY/uIsFqgfc0K9G1Wka71wvBy12PlUrIUbuxQuBERKZzTZzP5eVscsy9ZxNPH3YXuDcPp27QiN1UPxqrxOVICFG7sULgREbl2B06eZc7mo8zZfITDp87lb48I8OTOphXp27QiNUP9TKxQSjuFGzsUbkRErp9hGGw4dJrZm47y89ZjpKRn5+9rWDGAPk1t43PK+3qYWKWURgo3dijciIgUjfSsHJbtSmD2pqOs2J1Adq7t48TFauGWWhXo07Siln2QIqNwY4fCjYhI0UtMzeDnrXHM3nyULYfP5G/383ClR8Nw+jSrSMuq5TQ+R66bwo0dCjciIsVrX0IqczcfZc7moxw9c2F8TsVAL/o0tc2fU6OCr4kVijNSuLFD4UZEpGTk5hqsO3iKOZuOMn9bHCkZF8bnNK4USN+mFenVOIJyPu4mVinOQuHGDoUbEZGSl56Vw+Idx5mz+Sgr95wg5/z4HFerhQ61Q+jbrCKd6oRofI5clcKNHQo3IiLmOpGSwU9bjjFn81G2HU3K3+7v6UrPRhH0bVaR5lWCsFg0PkcuULixQ+FGRMRx7D2ewuzNR5m7+ShxSen52yuV86JP00j6Nq1I1fI+JlYojkLhxg6FGxERx5Oba/D7X4nM3nyUBdviOJuZk7+vaeVA+jaL5PaG4QRpfE6ZpXBjh8KNiIhjO5eZw6Id8czedJTVe09wfngObi4WOtYOoW+zSDrWqYCHq8bnlCUKN3Yo3IiIOI+E5HR+3HKM2ZuOsiMuOX97gJcbtzcKp2+zSJpVDtT4nDJA4cYOhRsREee0Kz6ZOZts8+ckpGTkb68a7E33huF0rhNC08pBuGiiwFJJ4cYOhRsREeeWk2uwdv9J5mw6yoI/4zmXdWF8TpC3Gx1qh9C5bgg316qAv6ebiZVKUVK4sUPhRkSk9Dibkc2SncdZujOBFbsTSL5oIU9Xq4UWVcvRuW4IneqEUF2zIjs1hRs7FG5EREqn7JxcNh46zdJdCSzdeZz9J84W2F+9vA+d6oTQqW4ILaqWw83FalKlcj0UbuxQuBERKRsOnjzLsl0JLNuVwB8HEsnKufBx5+fpyi21KtC5bggdaoXoEXMnoHBjh8KNiEjZk5Kexeq9J1m6M4HluxM4dTYzf5/VAs0qB9Gpbghd6oZSM8RXT185IIUbOxRuRETKtpxcgy1HzrBsZwJLdh5nV3xKgf2RQV50rhNCp7qh3FS9nObTcRAKN3Yo3IiIyMWOnjln677aeZw1+xPJzM7N3+ft7kL7muXpXCeUDnUqEOLnaWKlZZvCjR0KNyIicjVpmdms2ZfIsl22J7Aunk8HoHFkAJ3qhNK5bgj1I/zVfVWCFG7sULgREZHCMAyD7ceSWbozgaW7jrP1SFKB/aH+HragUyeEtlHl8XJX91VxUrixQ+FGRESuR0JyOst3J7B0ZwKr954sMHmgh6uVtlHlbY+a1wkhItDLxEpLJ4UbOxRuRETkRqVn5fD7X4ks22ULO0fPnCuwv264//lBySE0iQzEqiUhbpjCjR0KNyIiUpQMw2DP8VSW7jrOsp0JbIo9nb+SOUCwjzsd64TQuU4I7WqWx09LQlwXhRs7FG5ERKQ4nTqbyYrdCSzdlcCq3SdIybiwJISbi4VW1YLpXDeEznVCqRzsbWKlzkXhxg6FGxERKSlZObmsP3jKNih553EOJqYV2B8V4mvrvqoTQnSVIFy1JMRVKdzYoXAjIiJm+etEav44nXUHT5FzUf9VgJcbneqE0LVeKDfXqoCPh6uJlToehRs7FG5ERMQRJJ3LYtWeEyzbZVsS4kxaVv4+d1cr7aPK061+GJ3rhhDs62FipY5B4cYOhRsREXE0ObkGm2JPs2h7PAu3Hyf21IXuK6sFmlcpR9f6oXStF1Zmx+ko3NihcCMiIo4s7+mrRdvjWbgjnj+PJhfYXyfMj671w+haL7RMzZKscGOHwo2IiDiTo2fOsXh7PIt2HOePAwXH6VQM9OLWeqF0qx9Gi6qle0Cywo0dCjciIuKszqRlsnRnAot2xLNyzwnSsy4s8hno7UbnOqF0rR/KzTUrlLrlIBRu7FC4ERGR0uBcZg6/7jvJou3xLNl5nNMXDUj2dLNyc80KdK0fRuc6IQT5uJtYadFQuLFD4UZEREqb7JxcNhw6zaLtx1m4Pb7AchAuVgstqgbRtV4YXeuHEhnknAOSFW7sULgREZHSzDAMdsQls2j7cRbtOM7OuIIDkutH+OcHnTphfk4zIFnhxg6FGxERKUsOn0pj0Q5bi86Gg6cKrHtVuZw3XeuF0rV+GNFVgnBx4AU+FW7sULgREZGyKjE1g6W7Eli0/Tir954gI/vCgORgH3c61w2hW/0w2kaVx9PNsQYkK9zYoXAjIiICaZnZrNpzgkXbj7N0VwJJ5y4MSPZ2d+GWWhXoWj+UTrVDCfA2fyVzhRs7FG5EREQKysrJZf2BUyw8P59OXFJ6/j5Xq4WbqgfTtX4ot9YLJTzAy5Qar+Xz2/TZfj799FOqVauGp6cn0dHRrF692u7xGRkZjB07lipVquDh4UGNGjWYPHlyCVUrIiJS+ri5WGkTVZ7X7mzA2uc78dOodozuFEWtUF+ycw1+3XeSl3/YTutxy7jj41/5ZPk+9h5PwVHbR0xtuZk+fTqDBw/m008/pW3btvz3v//lf//7Hzt27KBy5cpXPOfOO+/k+PHjvPnmm0RFRZGQkEB2djZt2rQp1D3VciMiIlJ4B06eZfGOeBZtP87G2NNcnBqqlfc5PyA5lKaVgrAW44Bkp+mWatWqFc2aNWPChAn52+rWrUvv3r0ZN27cZcf/8ssv3H333fz111+UK1fuuu6pcCMiInJ9ElLSbTMkb49nzb5EMnMuDEgu7+vBreeDTpsawXi4Fu2AZKcIN5mZmXh7ezNjxgz69OmTv/2JJ54gJiaGlStXXnbOY489xp49e2jevDlff/01Pj4+3HHHHbzxxht4eRWuD1DhRkRE5MalZmSzcvcJFm6PZ/muBFIysvP3+Xm68vsLnfHxcC2y+13L53fR3fUanTx5kpycHEJDQwtsDw0NJT4+/orn/PXXX/z66694enoyZ84cTp48yWOPPcapU6euOu4mIyODjIyM/O+Tk5OveJyIiIgUnq+HKz0bhdOzUTiZ2bn8/lcii853X1Uu512kweZamXfn8y6dGdEwjKvOlpibm4vFYmHq1KkEBAQA8J///If+/fvzySefXLH1Zty4cbz22mtFX7iIiIgA4O5q5eZaFbi5VgVev6MBp9IyTa3HtKelypcvj4uLy2WtNAkJCZe15uQJDw+nYsWK+cEGbGN0DMPgyJEjVzznhRdeICkpKf91+PDhonsTIiIiUoDVaqG8r4e5NZh1Y3d3d6Kjo1m8eHGB7YsXL77qk09t27bl2LFjpKam5m/bs2cPVquVyMjIK57j4eGBv79/gZeIiIiUXqbOc/PUU0/xv//9j8mTJ7Nz506efPJJYmNjGTFiBGBrdRkyZEj+8ffeey/BwcE88MAD7Nixg1WrVvHMM88wbNiwQg8oFhERkdLN1DE3AwcOJDExkddff524uDgaNGjA/PnzqVKlCgBxcXHExsbmH+/r68vixYsZPXo0zZs3Jzg4mAEDBvDmm2+a9RZERETEwWj5BREREXF4TrX8goiIiEhRUrgRERGRUkXhRkREREoVhRsREREpVRRuREREpFRRuBEREZFSReFGREREShWFGxERESlVFG5ERESkVDF1+QUz5E3InJycbHIlIiIiUlh5n9uFWVihzIWblJQUACpVqmRyJSIiInKtUlJSCAgIsHtMmVtbKjc3l2PHjuHn54fFYinSaycnJ1OpUiUOHz6sdascgH4ejkU/D8ejn4lj0c/DPsMwSElJISIiAqvV/qiaMtdyY7VaiYyMLNZ7+Pv76y+mA9HPw7Ho5+F49DNxLPp5XN3ftdjk0YBiERERKVUUbkRERKRUUbgpQh4eHrzyyit4eHiYXYqgn4ej0c/D8ehn4lj08yg6ZW5AsYiIiJRuarkRERGRUkXhRkREREoVhRsREREpVRRuREREpFRRuCkin376KdWqVcPT05Po6GhWr15tdkll1rhx42jRogV+fn6EhITQu3dvdu/ebXZZct64ceOwWCyMGTPG7FLKrKNHj3LfffcRHByMt7c3TZo0YePGjWaXVSZlZ2fzz3/+k2rVquHl5UX16tV5/fXXyc3NNbs0p6ZwUwSmT5/OmDFjGDt2LJs3b6Z9+/Z0796d2NhYs0srk1auXMnIkSP5/fffWbx4MdnZ2XTt2pWzZ8+aXVqZt379eiZNmkSjRo3MLqXMOn36NG3btsXNzY0FCxawY8cOxo8fT2BgoNmllUnvvPMOEydO5OOPP2bnzp38+9//5t133+Wjjz4yuzSnpkfBi0CrVq1o1qwZEyZMyN9Wt25devfuzbhx40ysTABOnDhBSEgIK1eu5Oabbza7nDIrNTWVZs2a8emnn/Lmm2/SpEkTPvjgA7PLKnOef/551qxZo9ZlB3H77bcTGhrK559/nr+tX79+eHt78/XXX5tYmXNTy80NyszMZOPGjXTt2rXA9q5du7J27VqTqpKLJSUlAVCuXDmTKynbRo4cSc+ePenSpYvZpZRpP/74I82bN+euu+4iJCSEpk2b8tlnn5ldVpnVrl07li5dyp49ewDYsmULv/76Kz169DC5MudW5hbOLGonT54kJyeH0NDQAttDQ0OJj483qSrJYxgGTz31FO3ataNBgwZml1Nmfffdd2zatIn169ebXUqZ99dffzFhwgSeeuopXnzxRdatW8fjjz+Oh4cHQ4YMMbu8Mue5554jKSmJOnXq4OLiQk5ODm+99Rb33HOP2aU5NYWbImKxWAp8bxjGZduk5I0aNYqtW7fy66+/ml1KmXX48GGeeOIJFi1ahKenp9nllHm5ubk0b96ct99+G4CmTZuyfft2JkyYoHBjgunTp/PNN98wbdo06tevT0xMDGPGjCEiIoL777/f7PKclsLNDSpfvjwuLi6XtdIkJCRc1pojJWv06NH8+OOPrFq1isjISLPLKbM2btxIQkIC0dHR+dtycnJYtWoVH3/8MRkZGbi4uJhYYdkSHh5OvXr1CmyrW7cus2bNMqmisu2ZZ57h+eef5+677wagYcOGHDp0iHHjxinc3ACNublB7u7uREdHs3jx4gLbFy9eTJs2bUyqqmwzDINRo0Yxe/Zsli1bRrVq1cwuqUzr3Lkz27ZtIyYmJv/VvHlzBg0aRExMjIJNCWvbtu1lUyPs2bOHKlWqmFRR2ZaWlobVWvCj2MXFRY+C3yC13BSBp556isGDB9O8eXNat27NpEmTiI2NZcSIEWaXViaNHDmSadOm8cMPP+Dn55ffqhYQEICXl5fJ1ZU9fn5+l4138vHxITg4WOOgTPDkk0/Spk0b3n77bQYMGMC6deuYNGkSkyZNMru0MqlXr1689dZbVK5cmfr167N582b+85//MGzYMLNLc26GFIlPPvnEqFKliuHu7m40a9bMWLlypdkllVnAFV9ffPGF2aXJebfccovxxBNPmF1GmfXTTz8ZDRo0MDw8PIw6deoYkyZNMrukMis5Odl44oknjMqVKxuenp5G9erVjbFjxxoZGRlml+bUNM+NiIiIlCoacyMiIiKlisKNiIiIlCoKNyIiIlKqKNyIiIhIqaJwIyIiIqWKwo2IiIiUKgo3IiIiUqoo3IiIYFv8du7cuWaXISJFQOFGREw3dOhQLBbLZa/bbrvN7NJExAlpbSkRcQi33XYbX3zxRYFtHh4eJlUjIs5MLTci4hA8PDwICwsr8AoKCgJsXUYTJkyge/fueHl5Ua1aNWbMmFHg/G3bttGpUye8vLwIDg7m4YcfJjU1tcAxkydPpn79+nh4eBAeHs6oUaMK7D958iR9+vTB29ubmjVr8uOPPxbvmxaRYqFwIyJO4aWXXqJfv35s2bKF++67j3vuuYedO3cCkJaWxm233UZQUBDr169nxowZLFmypEB4mTBhAiNHjuThhx9m27Zt/Pjjj0RFRRW4x2uvvcaAAQPYunUrPXr0YNCgQZw6dapE36eIFAGzV+4UEbn//vsNFxcXw8fHp8Dr9ddfNwzDttL7iBEjCpzTqlUr49FHHzUMwzAmTZpkBAUFGampqfn7582bZ1itViM+Pt4wDMOIiIgwxo4de9UaAOOf//xn/vepqamGxWIxFixYUGTvU0RKhsbciIhD6NixIxMmTCiwrVy5cvlft27dusC+1q1bExMTA8DOnTtp3LgxPj4++fvbtm1Lbm4uu3fvxmKxcOzYMTp37my3hkaNGuV/7ePjg5+fHwkJCdf7lkTEJAo3IuIQfHx8Lusm+jsWiwUAwzDyv77SMV5eXoW6npub22Xn5ubmXlNNImI+jbkREafw+++/X/Z9nTp1AKhXrx4xMTGcPXs2f/+aNWuwWq3UqlULPz8/qlatytKlS0u0ZhExh1puRMQhZGRkEB8fX2Cbq6sr5cuXB2DGjBk0b96cdu3aMXXqVNatW8fnn38OwKBBg3jllVe4//77efXVVzlx4gSjR49m8ODBhIaGAvDqq68yYsQIQkJC6N69OykpKaxZs4bRo0eX7BsVkWKncCMiDuGXX34hPDy8wLbatWuza9cuwPYk03fffcdjjz1GWFgYU6dOpV69egB4e3uzcOFCnnjiCVq0aIG3tzf9+vXjP//5T/617r//ftLT03n//fd5+umnKV++PP379y+5NygiJcZiGIZhdhEiIvZYLBbmzJlD7969zS5FRJyAxtyIiIhIqaJwIyIiIqWKxtyIiMNT77mIXAu13IiIiEiponAjIiIipYrCjYiIiJQqCjciIiJSqijciIiISKmicCMiIiKlisKNiIiIlCoKNyIiIlKqKNyIiIhIqfL/CwlIyJQckxUAAAAASUVORK5CYII=",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.plot(history.history['loss'], label='Training Loss')\n",
    "plt.plot(history.history['val_loss'], label='Validation Loss')\n",
    "\n",
    "plt.title('Model Loss')\n",
    "plt.xlabel('Epoch')\n",
    "plt.ylabel('Loss')\n",
    "plt.legend()\n",
    "\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "id": "c57479db-a6cc-477f-bfa8-5ecb8ba48b5b",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\u001b[1m313/313\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m1s\u001b[0m 3ms/step - accuracy: 0.6999 - loss: 0.9124\n",
      "Test accuracy: 0.6998999714851379\n",
      "Test loss: 0.9124072194099426\n"
     ]
    }
   ],
   "source": [
    "test_loss, test_accuracy = model.evaluate(X_test, y_test)\n",
    "\n",
    "print(\"Test accuracy:\", test_accuracy)\n",
    "print(\"Test loss:\", test_loss)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "id": "f3f71803-8f70-4d67-ade6-13496e5605f2",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\u001b[1m313/313\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m1s\u001b[0m 3ms/step\n",
      "[2.1560320e-03 1.6632259e-03 1.9145620e-04 9.1636395e-01 1.0096102e-03\n",
      " 1.0491965e-03 7.1507551e-02 1.4894486e-05 6.0306247e-03 1.3554008e-05]\n"
     ]
    }
   ],
   "source": [
    "predictions = model.predict(X_test)\n",
    "\n",
    "print(predictions[0])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "id": "3a7018d9-0d3c-4767-acf6-be2348ea36ae",
   "metadata": {},
   "outputs": [],
   "source": [
    "predicted_classes = np.argmax(predictions, axis=1)\n",
    "true_classes = y_test.flatten()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "id": "5ebbcf1d-1ab6-493d-a65e-b59d4fe69604",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 600x500 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "from sklearn.metrics import confusion_matrix\n",
    "import seaborn as sns\n",
    "\n",
    "cm = confusion_matrix(true_classes, predicted_classes)\n",
    "\n",
    "plt.figure(figsize=(6,5))\n",
    "\n",
    "sns.heatmap(cm, annot=True, fmt='d', cmap='Blues')\n",
    "\n",
    "plt.xlabel('Predicted Label')\n",
    "plt.ylabel('True Label')\n",
    "plt.title('Confusion Matrix')\n",
    "\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "id": "4355ae41-49ae-45a3-9600-d23bbe462b42",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 300x300 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.figure(figsize=(3,3))\n",
    "\n",
    "plt.imshow(X_test[0])\n",
    "\n",
    "predicted_label = class_names[predicted_classes[0]]\n",
    "true_label = class_names[true_classes[0]]\n",
    "\n",
    "plt.title(f\"Predicted: {predicted_label}\\nActual: {true_label}\")\n",
    "\n",
    "plt.axis('off')\n",
    "\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "id": "7ff90603-9a02-4356-a1a8-99de8c28a845",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "              precision    recall  f1-score   support\n",
      "\n",
      "    Airplane       0.70      0.77      0.73      1000\n",
      "  Automobile       0.83      0.79      0.81      1000\n",
      "        Bird       0.64      0.55      0.59      1000\n",
      "         Cat       0.49      0.60      0.54      1000\n",
      "        Deer       0.69      0.60      0.64      1000\n",
      "         Dog       0.65      0.53      0.58      1000\n",
      "        Frog       0.77      0.79      0.78      1000\n",
      "       Horse       0.73      0.74      0.74      1000\n",
      "        Ship       0.76      0.83      0.80      1000\n",
      "       Truck       0.77      0.79      0.78      1000\n",
      "\n",
      "    accuracy                           0.70     10000\n",
      "   macro avg       0.70      0.70      0.70     10000\n",
      "weighted avg       0.70      0.70      0.70     10000\n",
      "\n"
     ]
    }
   ],
   "source": [
    "from sklearn.metrics import classification_report\n",
    "\n",
    "print(classification_report(true_classes, predicted_classes, target_names=class_names))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "id": "a9c07113-2be4-4fda-894e-8423b2646199",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "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: \"sequential_4\"</span>\n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[1mModel: \"sequential_4\"\u001b[0m\n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "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",
       "│ conv2d_8 (<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\">30</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">30</span>,    │       <span style=\"color: #00af00; text-decoration-color: #00af00\">896</span> │\n",
       "│                          │ <span style=\"color: #00af00; text-decoration-color: #00af00\">32</span>)               │           │\n",
       "├──────────────────────────┼───────────────────┼───────────┤\n",
       "│ max_pooling2d_8          │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">15</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">15</span>,    │         <span style=\"color: #00af00; text-decoration-color: #00af00\">0</span> │\n",
       "│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">MaxPooling2D</span>)           │ <span style=\"color: #00af00; text-decoration-color: #00af00\">32</span>)               │           │\n",
       "├──────────────────────────┼───────────────────┼───────────┤\n",
       "│ dropout_6 (<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\">15</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">15</span>,    │         <span style=\"color: #00af00; text-decoration-color: #00af00\">0</span> │\n",
       "│                          │ <span style=\"color: #00af00; text-decoration-color: #00af00\">32</span>)               │           │\n",
       "├──────────────────────────┼───────────────────┼───────────┤\n",
       "│ conv2d_9 (<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\">13</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">13</span>,    │    <span style=\"color: #00af00; text-decoration-color: #00af00\">18,496</span> │\n",
       "│                          │ <span style=\"color: #00af00; text-decoration-color: #00af00\">64</span>)               │           │\n",
       "├──────────────────────────┼───────────────────┼───────────┤\n",
       "│ max_pooling2d_9          │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">6</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">6</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">64</span>)  │         <span style=\"color: #00af00; text-decoration-color: #00af00\">0</span> │\n",
       "│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">MaxPooling2D</span>)           │                   │           │\n",
       "├──────────────────────────┼───────────────────┼───────────┤\n",
       "│ dropout_7 (<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\">6</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">6</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">64</span>)  │         <span style=\"color: #00af00; text-decoration-color: #00af00\">0</span> │\n",
       "├──────────────────────────┼───────────────────┼───────────┤\n",
       "│ flatten_4 (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Flatten</span>)      │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">2304</span>)      │         <span style=\"color: #00af00; text-decoration-color: #00af00\">0</span> │\n",
       "├──────────────────────────┼───────────────────┼───────────┤\n",
       "│ dense_8 (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Dense</span>)          │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">64</span>)        │   <span style=\"color: #00af00; text-decoration-color: #00af00\">147,520</span> │\n",
       "├──────────────────────────┼───────────────────┼───────────┤\n",
       "│ dropout_8 (<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\">64</span>)        │         <span style=\"color: #00af00; text-decoration-color: #00af00\">0</span> │\n",
       "├──────────────────────────┼───────────────────┼───────────┤\n",
       "│ dense_9 (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Dense</span>)          │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">10</span>)        │       <span style=\"color: #00af00; text-decoration-color: #00af00\">650</span> │\n",
       "└──────────────────────────┴───────────────────┴───────────┘\n",
       "</pre>\n"
      ],
      "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",
       "│ conv2d_8 (\u001b[38;5;33mConv2D\u001b[0m)        │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m30\u001b[0m, \u001b[38;5;34m30\u001b[0m,    │       \u001b[38;5;34m896\u001b[0m │\n",
       "│                          │ \u001b[38;5;34m32\u001b[0m)               │           │\n",
       "├──────────────────────────┼───────────────────┼───────────┤\n",
       "│ max_pooling2d_8          │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m15\u001b[0m, \u001b[38;5;34m15\u001b[0m,    │         \u001b[38;5;34m0\u001b[0m │\n",
       "│ (\u001b[38;5;33mMaxPooling2D\u001b[0m)           │ \u001b[38;5;34m32\u001b[0m)               │           │\n",
       "├──────────────────────────┼───────────────────┼───────────┤\n",
       "│ dropout_6 (\u001b[38;5;33mDropout\u001b[0m)      │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m15\u001b[0m, \u001b[38;5;34m15\u001b[0m,    │         \u001b[38;5;34m0\u001b[0m │\n",
       "│                          │ \u001b[38;5;34m32\u001b[0m)               │           │\n",
       "├──────────────────────────┼───────────────────┼───────────┤\n",
       "│ conv2d_9 (\u001b[38;5;33mConv2D\u001b[0m)        │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m13\u001b[0m, \u001b[38;5;34m13\u001b[0m,    │    \u001b[38;5;34m18,496\u001b[0m │\n",
       "│                          │ \u001b[38;5;34m64\u001b[0m)               │           │\n",
       "├──────────────────────────┼───────────────────┼───────────┤\n",
       "│ max_pooling2d_9          │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m6\u001b[0m, \u001b[38;5;34m6\u001b[0m, \u001b[38;5;34m64\u001b[0m)  │         \u001b[38;5;34m0\u001b[0m │\n",
       "│ (\u001b[38;5;33mMaxPooling2D\u001b[0m)           │                   │           │\n",
       "├──────────────────────────┼───────────────────┼───────────┤\n",
       "│ dropout_7 (\u001b[38;5;33mDropout\u001b[0m)      │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m6\u001b[0m, \u001b[38;5;34m6\u001b[0m, \u001b[38;5;34m64\u001b[0m)  │         \u001b[38;5;34m0\u001b[0m │\n",
       "├──────────────────────────┼───────────────────┼───────────┤\n",
       "│ flatten_4 (\u001b[38;5;33mFlatten\u001b[0m)      │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m2304\u001b[0m)      │         \u001b[38;5;34m0\u001b[0m │\n",
       "├──────────────────────────┼───────────────────┼───────────┤\n",
       "│ dense_8 (\u001b[38;5;33mDense\u001b[0m)          │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m64\u001b[0m)        │   \u001b[38;5;34m147,520\u001b[0m │\n",
       "├──────────────────────────┼───────────────────┼───────────┤\n",
       "│ dropout_8 (\u001b[38;5;33mDropout\u001b[0m)      │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m64\u001b[0m)        │         \u001b[38;5;34m0\u001b[0m │\n",
       "├──────────────────────────┼───────────────────┼───────────┤\n",
       "│ dense_9 (\u001b[38;5;33mDense\u001b[0m)          │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m10\u001b[0m)        │       \u001b[38;5;34m650\u001b[0m │\n",
       "└──────────────────────────┴───────────────────┴───────────┘\n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "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\">167,562</span> (654.54 KB)\n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[1m Total params: \u001b[0m\u001b[38;5;34m167,562\u001b[0m (654.54 KB)\n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "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\">167,562</span> (654.54 KB)\n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[1m Trainable params: \u001b[0m\u001b[38;5;34m167,562\u001b[0m (654.54 KB)\n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "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\">0</span> (0.00 B)\n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[1m Non-trainable params: \u001b[0m\u001b[38;5;34m0\u001b[0m (0.00 B)\n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "from tensorflow.keras.layers import Dropout\n",
    "\n",
    "model_dropout = Sequential()\n",
    "\n",
    "model_dropout.add(Input(shape=(32,32,3)))\n",
    "\n",
    "model_dropout.add(Conv2D(32, (3,3), activation='relu'))\n",
    "model_dropout.add(MaxPooling2D((2,2)))\n",
    "model_dropout.add(Dropout(0.25))\n",
    "\n",
    "model_dropout.add(Conv2D(64, (3,3), activation='relu'))\n",
    "model_dropout.add(MaxPooling2D((2,2)))\n",
    "model_dropout.add(Dropout(0.25))\n",
    "\n",
    "model_dropout.add(Flatten())\n",
    "\n",
    "model_dropout.add(Dense(64, activation='relu'))\n",
    "model_dropout.add(Dropout(0.5))\n",
    "\n",
    "model_dropout.add(Dense(10, activation='softmax'))\n",
    "\n",
    "model_dropout.summary(line_length=60)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "id": "a397342f-686d-4c7a-8143-3b4462e949c4",
   "metadata": {},
   "outputs": [],
   "source": [
    "model_dropout.compile(\n",
    "    optimizer='adam',\n",
    "    loss='sparse_categorical_crossentropy',\n",
    "    metrics=['accuracy']\n",
    ")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 25,
   "id": "0a6fd105-94f4-4665-ab14-780c56f8a22e",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Epoch 1/15\n",
      "\u001b[1m1563/1563\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m19s\u001b[0m 11ms/step - accuracy: 0.3560 - loss: 1.7406 - val_accuracy: 0.5289 - val_loss: 1.3741\n",
      "Epoch 2/15\n",
      "\u001b[1m1563/1563\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m18s\u001b[0m 10ms/step - accuracy: 0.4801 - loss: 1.4360 - val_accuracy: 0.5750 - val_loss: 1.2128\n",
      "Epoch 3/15\n",
      "\u001b[1m1563/1563\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m16s\u001b[0m 10ms/step - accuracy: 0.5272 - loss: 1.3275 - val_accuracy: 0.6177 - val_loss: 1.1296\n",
      "Epoch 4/15\n",
      "\u001b[1m1563/1563\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m15s\u001b[0m 10ms/step - accuracy: 0.5485 - loss: 1.2710 - val_accuracy: 0.6426 - val_loss: 1.0431\n",
      "Epoch 5/15\n",
      "\u001b[1m1563/1563\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m16s\u001b[0m 10ms/step - accuracy: 0.5657 - loss: 1.2216 - val_accuracy: 0.6488 - val_loss: 1.0203\n",
      "Epoch 6/15\n",
      "\u001b[1m1563/1563\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m16s\u001b[0m 10ms/step - accuracy: 0.5804 - loss: 1.1857 - val_accuracy: 0.6244 - val_loss: 1.0671\n",
      "Epoch 7/15\n",
      "\u001b[1m1563/1563\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m16s\u001b[0m 10ms/step - accuracy: 0.5935 - loss: 1.1536 - val_accuracy: 0.6661 - val_loss: 0.9847\n",
      "Epoch 8/15\n",
      "\u001b[1m1563/1563\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m16s\u001b[0m 10ms/step - accuracy: 0.6031 - loss: 1.1302 - val_accuracy: 0.6766 - val_loss: 0.9510\n",
      "Epoch 9/15\n",
      "\u001b[1m1563/1563\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m16s\u001b[0m 10ms/step - accuracy: 0.6076 - loss: 1.1082 - val_accuracy: 0.6736 - val_loss: 0.9567\n",
      "Epoch 10/15\n",
      "\u001b[1m1563/1563\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m16s\u001b[0m 10ms/step - accuracy: 0.6168 - loss: 1.0898 - val_accuracy: 0.6922 - val_loss: 0.9021\n",
      "Epoch 11/15\n",
      "\u001b[1m1563/1563\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m19s\u001b[0m 9ms/step - accuracy: 0.6190 - loss: 1.0755 - val_accuracy: 0.6888 - val_loss: 0.9121\n",
      "Epoch 12/15\n",
      "\u001b[1m1563/1563\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m15s\u001b[0m 10ms/step - accuracy: 0.6239 - loss: 1.0645 - val_accuracy: 0.6936 - val_loss: 0.9135\n",
      "Epoch 13/15\n",
      "\u001b[1m1563/1563\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m10s\u001b[0m 6ms/step - accuracy: 0.6303 - loss: 1.0507 - val_accuracy: 0.6860 - val_loss: 0.9124\n",
      "Epoch 14/15\n",
      "\u001b[1m1563/1563\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m13s\u001b[0m 9ms/step - accuracy: 0.6343 - loss: 1.0444 - val_accuracy: 0.7049 - val_loss: 0.8699\n",
      "Epoch 15/15\n",
      "\u001b[1m1563/1563\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m17s\u001b[0m 11ms/step - accuracy: 0.6343 - loss: 1.0354 - val_accuracy: 0.6978 - val_loss: 0.8747\n"
     ]
    }
   ],
   "source": [
    "history_dropout = model_dropout.fit(\n",
    "    X_train,\n",
    "    y_train,\n",
    "    epochs=15,\n",
    "    validation_data=(X_test, y_test)\n",
    ")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 26,
   "id": "b6824bab-960c-435e-bd18-f7f65d02d417",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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YmJgoL730krJp0ybl119/VRo1aqSUL18+TUedkSNHKjY2NsoHH3yg/P7778qePXuU1atXK2+99ZaycOFCg2d/XgekCRMmKIDy119/pfv5li1bFECZP3++oiiKsmPHDsXc3FypX7++smLFCmXv3r3KihUrlAEDBujPCQ4OVkqUKKFUrFhRWbJkibJnzx5lzZo1ymuvvabExMQoiqIo0dHRSqlSpZQ6deoomzZtUn7//Xeld+/e+v9Tz3ZASu9rf+7cOcXCwkJp3bq1sm3bNmXjxo3KK6+8olSpUiXN9+Gnn35SAKVNmzbKmjVrlD179ihLlixJ93uf2ulIo9EoFy9ezPTrJ7JHkqnIkdRkmrpZWFgoLi4uSqtWrZSvvvoq3d6OGf3yVxRFiYqKUkaNGqW4u7srZmZmioeHhzJp0iQlISHB4LjUBLFw4UKlUqVKirm5uVK9enVl9erVaa555swZpVu3boqDg4NiYWGh1KtXT1m2bFma4y5evKi0b99esbe3V0qXLq288847ytatW9P80rp3757Sp08fpWTJkopGo0m3x+azUlJSlBUrViht2rRRSpUqpZiZmSmlS5dWOnXqpPzyyy/6nrAZJVNFUZQlS5ZkK5kmJibqf3HnZzJVFEXZvHmz0qRJE8XKykqxtbVV2rZtqxw6dCjN+Vu2bFHq1q2rWFhYKBUqVFBmzpyZYa9Xf39/pUmTJoqtra1ibW2tVKpUSRk8eLDy999/Gzx7Zsk0KSlJcXFxUerXr5/hMSkpKUq5cuWUOnXq6PcdOXJE6dSpk+Lg4KBYWloqlSpVUt577z2D886ePav07dtXcXJy0j/P0KFDDf6vHjt2TGnWrJlia2urlC1bVvnss8/0SS8ryVRRFOX3339X6tWrp1hZWSlly5ZVPvjgA2X79u3pfh+2bdumtGrVSrG1tVVsbGyUmjVrKrNmzUpzzcTERMXS0lLp2LFjhl8XkTMaRXlO3YAQhYhGo+Htt9/m+++/N3YoQhQ5v//+O6+++ipbt26lc+fOxg6nWJEOSEIIUcydPXuWGzduMGHCBOrXr0+nTp2MHVKxIx2QhBCimBs9ejSvvvoqjo6OrFmzJser9YiMSTWvEEIIkUtSMhVCCCFySZKpEEIIkUuSTIUQQohckt686dDpdNy+fRs7OztpqBdCiBeYoig8fPiQMmXKpLsUYSpJpum4fft2mtVGhBBCvLhu3ryZ6YICkkzTYWdnB6hfvGdXOBFCCPHiiImJoXz58vq8kBFJpulIrdq1t7eXZCqEEOK5TX7SAUkIIYTIJUmmQgghRC5JMhVCCCFySZKpEEIIkUuSTIUQQohckmQqhBBC5JIkUyGEECKXJJkKIYQQuSTJVAghhMglSaZCCCEKVtQVCPkLkh8ZO5I8I9MJCiGEKBjx92DPF/D3MkABE3Nwrwflm0D5xuq/9u7GjjJHjF4yXbhwIV5eXlhZWeHt7U1QUFCGxw4dOhSNRpNmq1WrlsFxGzZsoGbNmlhaWlKzZk02bdqU348hhBAiIzod/LMSvvOGv/0BBWycQJcMoX/D0R9g/RCYWx3m1YFfh8NfS+B2MGhTjB19lhi1ZBoQEMC4ceNYuHAhzZs358cff6RTp06cPXuWChUqpDn+22+/ZebMmfr3KSkp1KtXj759++r3HTlyBD8/P7744gt69uzJpk2b6NevHwcPHqRJkyYF8lxCCCEeCzsFWyfArePq+9I1oMsc8GgGD27AzWNw8y91u/MfRIeo27+/qseb20BZ7yel13KNwKaU8Z4nAxpFURRj3bxJkyY0bNiQRYsW6ffVqFGDHj16MGPGjOeev3nzZnr16sW1a9fw8PAAwM/Pj5iYGLZv364/rmPHjjg6OrJmzZosxRUTE4ODgwPR0dGyaowQQuTEowewZzr8vRQUHViUgNaToMmbYGqe/jmJDyH0xFMJ9jgkRqc9zrnqk2rh8k3AqQpksnB3bmQ1HxitZJqUlMSJEyf46KOPDPa3b9+ew4cPZ+kaS5cupV27dvpECmrJ9L333jM4rkOHDsyfPz/D6yQmJpKYmKh/HxMTk6X7CyGEeIZOB6fXwq4pEB+p7qvdB9pPf357qKUdVGytbqnXirzwOLE+TrBRlyHyorqd/Fk9zqrk4+T6OMGWaQiWJfLpAdNntGQaGRmJVqvF1dXVYL+rqyvh4eHPPT8sLIzt27fzyy+/GOwPDw/P9jVnzJjB1KlTsxG9EEKINML/Vat0bx5V3ztXg85fQ8VWObueiQm41FA376HqvrgouHXsSYINPQEJD+DSLnUD0JiCW201sTb6H5Sumtsney6j9+Z9dsFVRVGeuwgrwPLlyylZsiQ9evTI9TUnTZrE+PHj9e9TV1YXQgiRBQnRsHcGHFsCihbMbaHVh9B0NJhZ5O29bJ2gWid1A0hJgjtnnpRcQ/6Ch7fVttqwU1C3f97ePwNGS6bOzs6YmpqmKTFGRESkKVk+S1EU/P39GTRoEBYWht8oNze3bF/T0tISS0vLbD6BEEK84BQFTq+DXZ9AXIS6r2YP6PAlOJQrmBjMLNQOSmW9oelb6r7oW0/aXN3qFEgYRhsaY2Fhgbe3N4GBgQb7AwMDadasWabn7t+/n8uXLzN8+PA0n/n6+qa55q5du557TSGEKLQUBWLvwq2/ITbC2NGo7pyF5V1g00g1kTpVhkGboN+KgkukGXEoB7V7Q6eZeV8yzoBRq3nHjx/PoEGD8PHxwdfXlyVLlhASEsKoUaMAtfo1NDSUlStXGpy3dOlSmjRpQu3atdNcc+zYsbRs2ZJZs2bRvXt3fvvtN3bv3s3BgwcL5JmEEIWMokBcJFiXzLgXaWGRkgj3rkLkJYi6BJGPO9tEXVKrUlM5VQHP5uDRXB1iUpDJK/Eh7JsJRxepVbpm1tDqA/AdA2Yvbg2fUZOpn58fUVFRTJs2jbCwMGrXrs22bdv0vXPDwsIICQkxOCc6OpoNGzbw7bffpnvNZs2asXbtWj755BOmTJlCpUqVCAgIkDGmQryIbp2A7R+onVTQQAkXsC8D9mXBzv3Ja/sy6mbnDhY2+RuToqily9QkGXn58b+X1HGXii6DEzVQwhViw9Xjoy7BieXqRyUrPEmsHs2hVEXIQt+TbMf97wa1SvdhmLqvelfoOEO9/wvOqONMCysZZypEERcXCbs/h5Orsn+utWPGyTZ1s7R/frJKToB7V9QkqS9pXlKHdiRmMvzO0l6tMnWuopZAnSur4ypLVQRza3VKvpCjcOMQ3DisdrJRtIbXKOH6JLF6NFMnSsjNOMyI87Dtfbj+eIY6Ry+1l26VV3J+zSIiq/lAkmk6JJkKUURpU9Tp6vZOf1ItWu81aPsZmJhBTCjE3FZ7e8akbqEQE6b+mxyftftYlHhSkk1Ntjal4MHNJyXOBzeBDH69akygpIdhwnSqor4v4Zq9UmXiQ7Un643D6hb6N2iTDI+xKmmYXN3qgmkWKiYTY+HAbDjyA+hSwMwKWrwPzd4Bc6usx1iESTLNBUmmQhRBNw7Dtg/gzr/qe7c60PkbqNA0a+cripqA0022t58k3IQHWY/JykEtVT6bMEtVzL/2xeQEtVr7xmG19HrzGCTHGR5jUUIdg5maYMs2NIxHUeDsZtjxsfq1AKjWWa3SdfTMn7gLKUmmuSDJVIgiJCYMAj+FM+vU91Yloe0U8H4DTEzz/n5Jceo9Hz6TbOOj1I5AqQnTqQrYOud922V2aZMh7PSTauGQw4admQBMLdU5bz2aqau4HP8Jru5VPyvpAZ1mQ7WOBR97ISDJNBckmQpRBKQkwV+LYf8sSIoFNOA9BNp8qg7sF+nT6SDi7JOS641DEHc37XGmlvDSe/DSOLWt9gVV6OfmFUKIHLuyB7ZPVNsnAcr6QJdvoEwD48ZVFJiYqFPtudWGJiPVKt2oy09KrqEn1On7XpmmVkeLLJFkKoQoOh6EwM6P4dzv6nvb0tBuqtrJKJ9WDSn2NBq1Wtq5ypP5b0W2STIVQhR+yQlweAEEzYWUR+pE5o1HQuuP1MkYhDAySaZCiMJLUeDCdtg5Ce5fV/d5vASdZ4NrLaOGJsTTJJkKIQqnqCtqu+jlx3Nt25WBDtOhVi/j95AV4hmSTIUQhUtSHBz4Bo58r04+YGIOzcaokwUU8ILPQmSVJFMhRFp3L8C5Leq0fCVc1Fl5Sripr+3cwMYp78dwKgr8t0md+zUmVN1Xqa06xtG5ct7eS4g8JslUCKGKvKQms/82qeMQM6MxVXvSpibXEi6Pk60r2Lk+Tr6Pt6xMHB9xTp29KHXu15IVoONMddYdqdIVRYAkUyFeZJGX1eR5dvOTafhAnce2UhtwqakO6I+9Aw/vqP/G3VUnVo8NV7fw05nfw9L+qWT7bPJ1gct/qpMvKFp17teX3oPmY1/oiQJE0SPJVIgXTdSVxyXQzXDnzJP9JmZQ8WWo1ROqd1ZXT0mPNgXiI+FhuLqUWGy4YbJN3R7eUYexJMaoW9TlzOOq3hU6fAWOHnn2qEIUFEmmQrwIoq6opc//NkH4MwnUq9XjBNpFXfnkeUzN1NKlnVvmxymKuqKJPrk+nXwjnry3sIXWE6Fyu1w9ohDGJMlUiOLq3lW19PnfJsOqWI0pVExNoF2zlkBzQqMBK3t1c66SP/cQopCQZCpEcXLv2pMSaNipJ/s1puDV8kkClYnghchTkkyFKOruX1dLoGc3w+2TT/ZrTJ5KoN0kgQqRjySZClEURYfCvxvUEujtf57s15iAZwuo1UNNoCVKGy1EIV4kkkyFKGpun4RlnSE5Xn2vMQGP5moJtMarkkCFMAJJpkIUJY8ewLohaiJ1q6MumVXjVXW8phDCaCSZClFUKApsGQMPbqgzBA35PeOxoEKIAiWr6QpRVBxboi6KbWIOfZZLIhWiEJFkKkRREHoCdk5WX7f/Asp5GzceIYQBSaZCFHaPHsD6oaBLVseINhll7IiEEM+QZCpEYaYo8Nvb8CAESnpA9x9kFRUhCiFJpkIUZn8thvN/qO2kfZeDdUljRySESIckUyEKq1snYNcU9XWHL6FsQ+PGI4TIkCRTIQqjR/eftJPWeBUajzR2REKITBg9mS5cuBAvLy+srKzw9vYmKCgo0+MTExOZPHkyHh4eWFpaUqlSJfz9/fWfL1++HI1Gk2ZLSEjI70cRIm8oCmx+G6JDwNETun8v7aRCFHJGnbQhICCAcePGsXDhQpo3b86PP/5Ip06dOHv2LBUqVEj3nH79+nHnzh2WLl1K5cqViYiIICUlxeAYe3t7Lly4YLDPysoq355DiDx1dCFc2AqmFmo7qZWDsSMSQjyHUZPp3LlzGT58OCNGjABg/vz57Ny5k0WLFjFjxow0x+/YsYP9+/dz9epVSpVS12D09PRMc5xGo8HN7TkLFwtRGN08DoGfqq87fAVlGhg3HiFElhitmjcpKYkTJ07Qvn17g/3t27fn8OHD6Z6zZcsWfHx8mD17NmXLlqVq1aq8//77PHr0yOC42NhYPDw8KFeuHF27duXkyZPpXi9VYmIiMTExBpsoZhQFom/Brb8hJcnY0aQv/h78+gboUqBmD2g0wtgRCSGyyGgl08jISLRaLa6urgb7XV1dCQ8PT/ecq1evcvDgQaysrNi0aRORkZGMHj2ae/fu6dtNq1evzvLly6lTpw4xMTF8++23NG/enFOnTlGlSpV0rztjxgymTp2atw8ojEdR1HGZYcFwO1hdJDssGOKj1M/d60G/VeDoYcQgn6EosHk0RN8ERy94dYG0kwpRhGgURVGMcePbt29TtmxZDh8+jK+vr37/l19+yapVqzh//nyac9q3b09QUBDh4eE4OKjtSBs3bqRPnz7ExcVhbW2d5hydTkfDhg1p2bIlCxYsSDeWxMREEhMT9e9jYmIoX7480dHR2Nvb5/ZRRX5SFLh/zTBphp1Se8M+y8RMbYdMjlfnte31E1RpV9ARp+/wd7DrEzW+EbvVhC+EMLqYmBgcHByemw+MVjJ1dnbG1NQ0TSk0IiIiTWk1lbu7O2XLltUnUoAaNWqgKAq3bt1Kt+RpYmJCo0aNuHTpUoaxWFpaYmlpmcMnEQVGp4N7Vx8nzODHCfQ0JEanPdbEHFxrqknJvb66udaCuLuwbrC6oPbqPtD6I2j5IZgYsWP7zWOw+3P1dccZkkiFKIKMlkwtLCzw9vYmMDCQnj176vcHBgbSvXv3dM9p3rw569evJzY2lhIlSgBw8eJFTExMKFeuXLrnKIpCcHAwderUyfuHEPlHp4Woy2op83bw4wR6GpIepj3W1FJNlO71oEx99V+XmmCWzh9IJcvDsB2w4yP42x/2zVDbUXstAZtS+fxQ6Yi/B+sft5PW6gU+wws+BiFErhmtmhfUoTGDBg1i8eLF+Pr6smTJEv7v//6P//77Dw8PDyZNmkRoaCgrV64E1I5FNWrUoGnTpkydOpXIyEhGjBhBq1at+L//+z8Apk6dStOmTalSpQoxMTEsWLCAVatWcejQIRo3bpyluLJarBd5KPEhnN8Kt0+qyTP8DCTHpT3OzEpdFFtf4qwHLjXA1Dz79wxeA3+Mg5QEdX3QfqvUZFxQdDpY0x8u7YRSlWDkPrCS/29CFCaFvpoXwM/Pj6ioKKZNm0ZYWBi1a9dm27ZteHioHUPCwsIICQnRH1+iRAkCAwN555138PHxwcnJiX79+jF9+nT9MQ8ePGDkyJH6dtUGDRpw4MCBLCdSYQR3zkLA62oV7tPMbcCt7lMlzvrgXBVM8+i/bf3XwK02BAyE+9dhaXvoMgcaDsqb6z/Pke/URGpq+Xg8qSRSIYoqo5ZMCyspmRagfzfCb2PUUqh9WajZ/UmJ07kKmJjmfwyP7sOmUXBxh/q+4WDo9DWY5+NEHyF/wbJOoGih6zzwGZZ/9xJC5FiRKJmKF5g2BfZMg0Pfqu+9WkGfZWDrVPCxWDtC/zUQNAf2fgn/rFTbZ/utzJ/hM3FR6nhSRQu1+4D3G3l/DyFEgTL63LziBRR/D1b3fpJIm70LAzcaJ5GmMjGBVh/AwA1gXUrt8LSkFVzanbf30elg8yiICQWnytBtvownFaIYkGQqClbYKfixFVzdp7aJ9lkG7b/Iu3bQ3KrcFt7cr07j9+i+Onxm3yw1CeaFw9/CpV1qR6q+K8DSLm+uK4QwKkmmouCcWqt28okOUWf5GbEbavcydlRplawAw3Y+rn5VYN9XsMZPLVHnxo0j8OcX6utOs9TOT0KIYqGQFAdEsaZNVmf3+Wux+r5Ke3Vcp7WjcePKjJmlWgVbrhFsHa+WJpe0Ar+fczapQlwk/DpMbSet0w8aDsnzkIUojBRF4V5cErfuP+Lm/Xhu3nvErfvxPExQV/tSnjlW/9rgIk+/fOqYp/dncMykTjXwdLbN5VM8nyRTkb9iI9RFrm8cUt+3/BBaTzLujEPZ0eB1dVxrwEB4cAN+egW6zoUGA7N+DZ0ONr0JD2+DUxW19660k4pi5GFCMjfvqcny1v1H3LwXz62nEmdcktZosb39cuUCuY8kU5F/bp1Qk9DD22BhBz0XQ42uxo4q+9zrqu2oG99Ux4X+9rY6BWCn2VkbPnNoHlzerbaT9lsBliXyP2Yh8lBCslZfsrx1L56b+oSp7nsQn/zca7jaW1Le0YbypWwo52hNSRsLnv6T8um/Lw33G/7hmdFxT3/w9P4yJdPO2Z4fJJmK/PHPStg6AbRJ6kQLfquhdFVjR5Vz1o7w2tqnhs+sUDtT+a1S21gzcuMw7Hk8qUjnr9VpD4UohFK0Oq7cjeNMaDTXI+MeV8mqifPuw8Tnnu9oY075UjaUd7ShXClr9V9Ha8qXsqFsSWuszAtgzLgRSTIVeSslEbZPhBPL1PfVu0KPRcVjdp/U4TNlG8CGEerwmR9bQu+foHI6q8/E3n3cTqqDuv2hQQHNrCTEc+h0Clcj4zgT+oDTt6I5cyua/27H8Cg54+pYWwvTx6VKG8o/TpblS6mvyznaUMLyxU4nL/bTi7wVEwbrBsGt44AG2kyGlyYUnfbRrKrcDt488Hj1mZPwcx94+WNo8f6TZ9XpYNNIeBimlsy7zJF2UmEUOp3CjXvxnL71gDO3ojkdGs1/odHptmPaWphSq6wDVVxK6EuZqYmzpI15mipX8YQkU5E3bhxRk0tcBFg5QO+lUOUVY0eVf0pWgDd2wI6JcGK5WvV762/o9aNaJXxwDlzZA2bWj8eTSjupyH+KonDr/iNO34rmdKiaPM+ERut7zj7NytyEWmUcqFPWgbrl1M3LuQSmJpIwc0KSqcgdRYHjP6lLmulSwKUW9P8ZSlU0dmT5z9wKun37ePjMBLVz0o+toNk7sPcr9Zgu36jrqgqRxxRF4XZ0AmduPa6qDVW39DoDWZiZUNPdnrrlUpNnSSqVtsXMtJjVGhmRJFORc8mP4I/xcOoX9X2tXtD9e7DI/zFdhUqDgY+HzwxSh89se1/dX29A9obQCJGBFK2OkHvxXIqI5b9Qtar2zK1oouKS0hxrbqqhups9dco5ULesA3XKOVDV1Q5zSZz5SpKpyJkHIWryCAsGjQm8Mg18x7y47YLu9R4PnxmpTvBQurpaKhUiG6IfJXP1bixX7sZx5W4sVyJiuRoZx42oOJK1aRf4MjXRUM3VjjqPk2bdcg5Uc7PD0qx495wtjCSZiuy7ul9d9SQ+Sp0Uvu8yqNja2FEZn7UjvBYA14PU5PqildBFluh0CqEPHqnJ8nHSTE2gmQ1BsTI3wcu5BLXKPKmureFuX+yHnBQVkkxF1ikKHPkBAqeowz3c66nT62U2zvJFY2ICFVsZOwpRCMQnpXA1tYR5N06fMK/ejSUxJeOFE1zsLKlUugSVXGzVf0uXoGJpW8o4WGMinYMKLUmmImuS4mDLO/DvBvV9vdfUafHMC2Z2ESEKC0VRiEvS8iA+iQfxyUQ/SuZBfDJRcYn65Hn1bhyhDx5leA1zUw2eTrZpkqZXaVvsrcwL8GlEXpFkKp7v3jVY+zpE/AcmZtBhBjT+34vbPiqKBZ1O4WFCCg8eqUnxwaNkHsQn6ZOjui+J6HQ+S9Glbb9Mj6ONuT5RPp00yzlaS0/aYkaSqcjcowew8lW1w5Gtizq3rEczY0clRJbciIpjz/kITt18wP3HSTE6Pkn991GywUoj2WVhakJJG3N1s7agpI05ns62VCpt+7hqtgSlbC3y7mFEoSbJVGRMUeD3sWoiLekBw3aAfRljRyVEhpJSdPx9/R57zkew50IEV+/GPfccWwtTStpY4GBtrk+ODtbmODxOkCWtU/dZGCRPK3MTmRFI6EkyFRk7sRzOblardvsuk0QqCqW7DxPZeyGCvecjCLoUSWzik9l+zEw0+Hg60qJKaVztrfSJMTU5OlibY2Em1a0i9ySZivTdOavOagTQ7nMo623UcIRIpdMp/Hs7mj3n1QR66la0wedOtha0ruZCm+outKjqLB16RIGQZCrSSopXx5GmJEDlV6Dp28aOSLzgHiYkc/BSpJpAL9wlMtZwPGbtsva0qebCy9VdqFeupAwhEQVOkqlIa8dHcPc8lHBTl08rbqu+iCLh6t1Yte3zfATHr98zmAHI1sKUl6o406a6Cy9Xc8HFPguLtAuRjySZCkP/blAXvkYDvZZAidLGjki8IBJTtBy7dk9ffXs9Kt7gcy9nW15+XH3byMtRpswThYokU/HEvWvw+zj1dYsJMpOPyFcJyVpC7sXzz4377DkfwcHLkcQ/tcamuamGxl6l9Am0YmlZxk4UXpJMhSolCTYMh8QYKN8UWk8ydkSiGEhK0XHzfjzXI+O4FhnH9ag4rkfGcy0yjtvRj9KM8yxtZ8nL1UrTproLzSs7Yyedh0QRIclUqPZ8AaEnHi/s/ROYyn8NkTUpWh237j/iWlQc1yPV7VqUmkBv3Y8ns8mCSliaUcW1BK2qlqZtdVdqlbGXzkOiSJLfmAIu7YbDC9TX3X+AkuWNG48odLQ6hdsPHj0uWcZxLTKea5GxXI+K5+a9+Eyn17M2N8XT2RYvZxs8nWwfv7bF08kW5xIWMvGBKBaMnkwXLlzI119/TVhYGLVq1WL+/Pm0aNEiw+MTExOZNm0aP//8M+Hh4ZQrV47JkyczbNgw/TEbNmxgypQpXLlyhUqVKvHll1/Ss2fPgnicoudhOGx6U33d6H9Qo5tx4xFGpygK/92O4c9zEZwJjeZ6VBwhUfEkaTNe6cTSzORxorRRk+VTSdPFzlISpij2jJpMAwICGDduHAsXLqR58+b8+OOPdOrUibNnz1KhQvrLevXr1487d+6wdOlSKleuTEREBCkpT2Y8OXLkCH5+fnzxxRf07NmTTZs20a9fPw4ePEiTJk0K6tGKBp0WNv4P4iPBtTa0n27siISRJKZoOXr1HrvP3mH3uTuERSekOcbC1ITypaz1pcrUZOnlbIubvZVUz4oXmkZRcjPVc+40adKEhg0bsmjRIv2+GjVq0KNHD2bMmJHm+B07dtC/f3+uXr1KqVKl0r2mn58fMTExbN++Xb+vY8eOODo6smbNmizFFRMTg4ODA9HR0djb22fzqYqQA9+obaXmNjByP5SuauyIRAG6H5fE3gsR7D53h/0X7hL3VE9aa3NTWlZ1plklZ33CLFPSGlNJmOIFk9V8YLSSaVJSEidOnOCjjz4y2N++fXsOHz6c7jlbtmzBx8eH2bNns2rVKmxtbXn11Vf54osvsLZW19U8cuQI7733nsF5HTp0YP78+RnGkpiYSGLikxlVYmJicvhURUjIUdj7lfq68zeSSF8Q1yLj2H32DoHn7vD39XsGnYNc7CxpW8OV9jVd8a3khJW5jOMUIquMlkwjIyPRarW4uroa7Hd1dSU8PDzdc65evcrBgwexsrJi06ZNREZGMnr0aO7du4e/vz8A4eHh2bomwIwZM5g6dWoun6gIib8HG0aAooU6/aD+AGNHJPKJVqcQfPM+gWfVEujliFiDz6u72fFKTVfa1XClTlkHqaoVIoeM3gHp2Y4JiqJk2FlBp9Oh0WhYvXo1Dg4OAMydO5c+ffrwww8/6Eun2bkmwKRJkxg/frz+fUxMDOXLF9MerYoCW96B6JtQqiJ0nSuLfBcz8UkpBF2KZPfZO+w5H0FUXJL+MzMTDU0rOtGuhgtta7hSvpSNESMVovgwWjJ1dnbG1NQ0TYkxIiIiTckylbu7O2XLltUnUlDbWBVF4datW1SpUgU3N7dsXRPA0tISS0vLXDxNEXL8Jzj/B5iYQx9/sLQzdkQiD9yJSeDPc2rp8+DlSJJSnvS8tbMy4+VqLrxS05VW1UrLKipC5AOjJVMLCwu8vb0JDAw0GLYSGBhI9+7d0z2nefPmrF+/ntjYWEqUUKcWu3jxIiYmJpQrVw4AX19fAgMDDdpNd+3aRbNmzfLxaYqI8DOwc7L6+pVpUKaBceMROaYoCufDH+p73z67DFn5Uta0q+HKKzVcaeRVCnNTWaxAiPxk1Gre8ePHM2jQIHx8fPD19WXJkiWEhIQwatQoQK1+DQ0NZeXKlQAMGDCAL774gjfeeIOpU6cSGRnJBx98wLBhw/RVvGPHjqVly5bMmjWL7t2789tvv7F7924OHjxotOcsFJLiYP0boE2Eqh2h6VvGjkjkwP24JNb9fZNfjoVw45mJ4OuXL6lv/6zqWkLGdgpRgIyaTP38/IiKimLatGmEhYVRu3Zttm3bhoeHBwBhYWGEhITojy9RogSBgYG88847+Pj44OTkRL9+/Zg+/cn4yGbNmrF27Vo++eQTpkyZQqVKlQgICJAxpts+hKhLYOcO3RdKO2kRc+rmA1YdvcHvp26T+LgK19LMhBZVnGlXw5U21WUZMiGMyajjTAurYjfO9PQ6dXIGjQkM+R08XzJ2RCILEpK1/HE6jFVHrhtU49Z0t2ewrwev1i+DjYXR+xAKUawV+nGmooBEXYE/Hrcft/xQEmkRcPNePD//dYN1x29yPz4ZUGcf6lzHjUG+njSsUFKqcIUoZCSZFmcpifDrG5AUCx7NoeUHxo5IZECnU9h/6S6rjtxg74UI/dJkZUtaM6BJBfwalce5xAvS41yIIkiSaXG2eyqEnQJrR+j1f7KsWiH0ID6J9X/f4ue/bhh0KGpRxZlBTT1oU90FM+mJK0ShJ79di6sLO+DoD+rrHovAoaxx4xEGztyKZuWR62x5qkORnZUZfb3LM7BpBSqWLmHkCIUQ2SHJtDiKuQ2bHw99afIWVOtk3HgEoHYo2nYmjJVHbhB884F+f43HHYq6S4ciIYos+cktbnRa2PA/eHQP3OrCKy/QnMOF1M178az+K4R1f9/k3uOp/cxNNXSu486gph54ezhKhyIhijhJpsXNgW/gxkGwKAF9l4OZdFoxBp1OIehyJKuOXOfP8086FLk7WPF6kwr4NapAaTv53ghRXEgyLU6uH4L9M9XXXeaCUyXjxvMCik1MYe2xEH4+eoPrT3UoeqmyMwObetCuhnQoEqI4kmRaXOiXVdNBvdegnp+xI3qhRMYmsvzQdVYeuU5MQgoAdpZm9PYux8CmHlR2kQ5FQhRnkkyLA0WBzaPh4W0oVUld7FsUiJv34vm/oKsEHL+p75VbsbQtw1/yokf9sthayo+YEC8C+UkvDv76ES5uB1ML6LsMLKUUlN/Oh8eweN8Vfj8dhlanNojWK+fAW60r076mqyyyLcQLRpJpURd2CgKnqK/bTwf3esaNp5g7fv0ei/ZdYc/5CP2+FlWceat1JXwrOkmvXCFeUJJMi7KkOPh1GGiToFpnaDzS2BEVS4qisOd8BIv2XeHvG/cBddGdznXceatVJWqXdXjOFYQQxZ0k06Js91SIuvx4WbUfZFm1PJai1fHH6TAW7bvChTsPAXXC+d7e5RjZsiJezrZGjlAIUVhIMi2qru6HYz+qr7t/DzaljBtPMfIoScv6EzdZcuAqt+4/AqCEpRmvN63A8OZesm6oECINSaZFUUIM/Pa2+tr7DajczrjxFBPR8cmsOnqdZYeuE/V4piLnEha80dyLgU09cLA2N3KEQojCSpJpUbTzY4i+CSU91E5HIlfuxCSw9OA1Vh+9QVySFoDypawZ2bISfb3LYWVuauQIhRCFnSTToubiTji5CtCoq8HIMJgcu3o3liUHrrLxn1CStOoY0epudrzVuhJd6rjLTEVCiCyTZFqUxN+DLe+or33fBs/mxo2niDp96wGL919h+7/h+jlzG3uW4q3WlWhdrbQMbxFCZJsk06Jk2wcQewecq0KbT4wdTZFz4sZ95gVe5ODlSP2+djVcGNWqEj6e0oFLCJFz2U6mnp6eDBs2jKFDh1KhQoX8iEmk579N8O+voDGFHovB3NrYERUZ1yPjmL3zPNvOhANgaqKhe70yvNmqEtXc7IwcnRCiOMh2o9CECRP47bffqFixIq+88gpr164lMTExP2ITqR7egT/Gq69bjIdy3saNp4iIik3k8y3/0W7ufradCcdEA34+5dn3fmvm+tWXRCqEyDMaRUltNcqeU6dO4e/vz5o1a0hJSWHAgAEMGzaMhg0b5nWMBS4mJgYHBweio6Oxt7c3bjCKAmsHwIVt4FoH/rcHzCyMG1Mhl5CsZenBayzed4WHieoKLq2rleajTtWp7mbk76cQokjJaj7IcTJNlZyczMKFC5k4cSLJycnUrl2bsWPH8sYbbxTZjhyFKpkG/wKb3wITcxi5D9xqGzeeQkyrU9j4zy3mBl4kLDoBgFpl7Pm4cw2aV3Y2cnRCiKIoq/kgxx2QkpOT2bRpE8uWLSMwMJCmTZsyfPhwbt++zeTJk9m9eze//PJLTi8vAKJvwfaJ6uuXJ0kizcT+i3eZse0c58PVaf/KlrTmgw7VeLVeGVnBRQiR77KdTP/55x+WLVvGmjVrMDU1ZdCgQcybN4/q1avrj2nfvj0tW7bM00BfOIqiznKUGAPlGkGzscaOqFA6ezuGGdvPEXRJ7aFrb2XGmDaVGezrKZMtCCEKTLaTaaNGjXjllVdYtGgRPXr0wNw87RRrNWvWpH///nkS4Avr76VwdR+YWau9d01lFNPTbj94xDe7LrDpZCiKAuamGgb7ejLm5co42kqbshCiYGX7N/TVq1fx8PDI9BhbW1uWLVuW46BeePeuwq7Ha5S2+xycKxs1nMIkJiGZRfuu4H/wGokp6qxF3eqV4cMO1ShfysbI0QkhXlTZTqYRERGEh4fTpEkTg/1//fUXpqam+Pj45FlwLySdFjaPhuR48Gwha5Q+lpSiY/VfN1jw5yXuxycD0MSrFB93rkG98iWNG5wQ4oWX7XGmb7/9Njdv3kyzPzQ0lLfffjvbASxcuBAvLy+srKzw9vYmKCgow2P37duHRqNJs50/f15/zPLly9M9JiEhIduxGcXRhRByBCxKqGuUmrzY88MqisLW02G8Mm8/U38/y/34ZCq7lGDpEB/WjmwqiVQIUShku2R69uzZdMeSNmjQgLNnz2brWgEBAYwbN46FCxfSvHlzfvzxRzp16sTZs2cznV3pwoULBl2US5cubfC5vb09Fy5cMNhnZVUE1qCMOA9/fqG+7vAVOGZenV7cHb9+jy+3niP45gMASttZMv6VqvT1LieT0AshCpVsJ1NLS0vu3LlDxYoVDfaHhYVhZpa9y82dO5fhw4czYsQIAObPn8/OnTtZtGgRM2bMyPA8FxcXSpYsmeHnGo0GNze3bMVidNpk2PQmaBOh8ivQcLCxIzKaK3djmbX9PLvO3gHAxsKUkS0r8r8WFbG1lI5YQojCJ9t/3r/yyitMmjSJ6Oho/b4HDx7w8ccf88orr2T5OklJSZw4cYL27dsb7G/fvj2HDx/O9NwGDRrg7u5O27Zt2bt3b5rPY2Nj8fDwoFy5cnTt2pWTJ09mer3ExERiYmIMtgIXNBfCgsGqJLz6HRTRCS9y4+7DRD7ZfIb28w6w6+wdTE00DGhSgX0ftGZcu6qSSIUQhVa2fzvNmTOHli1b4uHhQYMGDQAIDg7G1dWVVatWZfk6kZGRaLVaXF1dDfa7uroSHh6e7jnu7u4sWbIEb29vEhMTWbVqFW3btmXfvn36ca3Vq1dn+fLl1KlTh5iYGL799luaN2/OqVOnqFKlSrrXnTFjBlOnTs1y7HnudjAcmK2+7vwN2LsbLxYj0OkU/A9dY17gRf3i3O1quPJRp2pUdpH5c4UQhV+OphOMi4tj9erVnDp1Cmtra+rWrctrr72W7pjTjNy+fZuyZcty+PBhfH199fu//PJLVq1aZdCpKDPdunVDo9GwZcuWdD/X6XQ0bNiQli1bsmDBgnSPSUxMNJisPyYmhvLlyxfMdIIpifBjK7h7Dmp2h74rXqhSaUhUPO//eopj1+4BUK+cA5M616BpRScjRyaEEPk8naCtrS0jR+ZuyIazszOmpqZpSqERERFpSquZadq0KT///HOGn5uYmNCoUSMuXbqU4TGWlpZYWlpm+Z55au9XaiK1LQ1d5r4wiVRRFH45FsKXW88Rn6TF1sKUyV1q8lrj8kV2TmchxIsrx41QZ8+eJSQkhKSkJIP9r776apbOt7CwwNvbm8DAQHr27KnfHxgYSPfu3bMcx8mTJ3F3z7haVFEUgoODqVOnTpavWWBC/oLDj0vLXeeD7YsxGXtY9CM+/PW0fgrAJl6l+KZvPZl0QQhRZOVoBqSePXty5swZNBoNqbXEqaUJrVab5WuNHz+eQYMG4ePjg6+vL0uWLCEkJIRRo0YBMGnSJEJDQ1m5ciWg9vb19PSkVq1aJCUl8fPPP7NhwwY2bNigv+bUqVNp2rQpVapUISYmhgULFhAcHMwPP/yQ3UfNX0lxsHkUKDqo9xrU6GrsiPKdoihsOhnKZ1v+42FCCpZmJkzsWJ2hzTxlMnohRJGW7WQ6duxYvLy82L17NxUrVuTYsWNERUUxYcIEvvnmm2xdy8/Pj6ioKKZNm0ZYWBi1a9dm27Zt+ukKw8LCCAkJ0R+flJTE+++/T2hoKNbW1tSqVYutW7fSuXNn/TEPHjxg5MiRhIeH4+DgQIMGDThw4ACNGzfO7qPmr91T1WkD7cpAx5nGjibfRcYmMnnTGXb+pw53qVe+JHP61qOySwkjRyaEELmX7Q5Izs7O7Nmzh7p16+Lg4MCxY8eoVq0ae/bsYcKECc8dhlIU5Pt6plf3w8rH1eEDN0Lltnl/j0Jkx79hfLzpX+7FJWFuqmFcu6q82bKiTLwghCj08q0DklarpUQJtTTh7OzM7du3qVatGh4eHmlmHRLpSIhRl1YD8BlWrBNpdHwyn235l83BtwGo7mbH3H71qVnGyAuuCyFEHst2Mq1duzanT5+mYsWKNGnShNmzZ2NhYcGSJUvSzIok0rFzEkTfhJIe8MoXxo4m3+y7EMHEDae5E5OIiQbeal2Jd9tWwdJM1hgVQhQ/2U6mn3zyCXFxcQBMnz6drl270qJFC5ycnAgICMjzAIuVCzvg5M+ABnouBsvi114Ym5jCl1vPseaY2tZd0dmWOf3q0aCCo5EjE0KI/JPtZNqhQwf964oVK3L27Fnu3buHo6OjjA/MTPw9+P1d9bXv2+DRzLjx5IOjV6N4f/0pbt1/BMAbzT35sEN1rC2kNCqEKN6ylUxTUlKwsrIiODiY2rVr6/eXKlUqzwMrdra9D7F3wLkatJli7GjyVEKylq93XsD/0DUUBcqWtObrvnVpVunFGDcrhBDZSqZmZmZ4eHhkayypAP7dCP9uAI0p9FwE5kVgObgsCr75gPHrgrl6V636f61xeT7uXAM7q6xPLSmEEEVdtscmfPLJJ0yaNIl79+7lRzzFz8M7sHWC+rrFBCjrbdx48khSio5vdl6g18JDXL0bh4udJcuGNmJGr7qSSIUQL5xst5kuWLCAy5cvU6ZMGTw8PLC1tTX4/J9//smz4Io8RYE/xsGje+BWB1p+YOyI8sS5sBjGrzvFuTB1qbru9csw9dValLSxMHJkQghhHNlOpj169MiHMIqpU2vgwjYwMYeeP4JZ0U42KVodPx64yvzdF0nWKjjamPNlzzp0rvNiLRknhBDPynYy/eyzz/IjjuIn+hZsn6i+fvljcK1l3Hhy6crdWCasO0XwzQeAut7ojF51KG1npNV2hBCiEMnxqjHiOWLCwMIWSleDZu8aO5pc2fjPLT7edIaEZB12lmZ8/motejUsK0OhhBDisWwnUxMTk0x/iUpP38fKN4LRRyDxIZgW3b9ZLoQ/ZOKG0yRrFV6q7MzsPnUpU9La2GEJIUShku3f8ps2bTJ4n5yczMmTJ1mxYgVTp07Ns8CKBWtHdSuiUrQ6Pvj1FMlahbbVXfhpiI+URoUQIh3ZTqbpLdzdp08fatWqRUBAAMOHD8+TwITx/XjgKqdvRWNvZcZXvepIIhVCiAzk2RpYTZo0Yffu3Xl1OWFkF8If8u3uSwB81q0WrvbFZ6IJIYTIa3mSTB89esR3331HuXLl8uJywshSq3eTtDraVnehV8Oyxg5JCCEKtWxX8z47ob2iKDx8+BAbGxt+/vnnPA1OGIdU7wohRPZkO5nOmzfP4JeriYkJpUuXpkmTJjg6Ft3ONkJ18Y5U7wohRHZlO5kOHTo0H8IQhUGKVsf769Xq3TZSvSuEEFmW7TbTZcuWsX79+jT7169fz4oVK/IkKGEcS4KeVO/OkOpdIYTIsmwn05kzZ+LsnHadShcXF7766qs8CUoUvIt3HjI/UK3e/VSqd4UQIluynUxv3LiBl5dXmv0eHh6EhITkSVCiYKVodXzwVPVub6neFUKIbMl2MnVxceH06dNp9p86dQonJ6c8CUoUrCVBVzl1Kxo7KzO+6inVu0IIkV3ZTqb9+/fn3XffZe/evWi1WrRaLXv27GHs2LH0798/P2IU+ejSU9W7n3WrhZuDVO8KIUR2Zbs37/Tp07lx4wZt27bFzEw9XafTMXjwYGkzLWKe7b0r1btCCJEz2U6mFhYWBAQEMH36dIKDg7G2tqZOnTp4eHjkR3wiH/1f0DWp3hVCiDyQ47XBqlSpQpUqVfIyFlGALt15yLzAiwB82rWmVO8KIUQuZLvNtE+fPsycOTPN/q+//pq+ffvmSVAif6Vodbz/62mStDperlaaPt4yp7IQQuRGtpPp/v376dKlS5r9HTt25MCBA3kSlMhfPx28xqmbD7CzMmNGr7pSvSuEELmU7WQaGxuLhYVFmv3m5ubExMRkO4CFCxfi5eWFlZUV3t7eBAUFZXjsvn370Gg0abbz588bHLdhwwZq1qyJpaUlNWvWTLOg+YvscsRD5kr1rhBC5KlsJ9PatWsTEBCQZv/atWupWbNmtq4VEBDAuHHjmDx5MidPnqRFixZ06tTpuZM/XLhwgbCwMP32dNvtkSNH8PPzY9CgQZw6dYpBgwbRr18//vrrr2zFVhylaHVMWH+apBSp3hVCiLykURRFyc4JW7ZsoXfv3gwYMIA2bdoA8Oeff/LLL7/w66+/0qNHjyxfq0mTJjRs2JBFixbp99WoUYMePXowY8aMNMfv27ePl19+mfv371OyZMl0r+nn50dMTAzbt2/X7+vYsSOOjo6sWbMmS3HFxMTg4OBAdHQ09vb2WX6ewm7x/ivM3H4eOyszAt9rJaVSIYR4jqzmg2yXTF999VU2b97M5cuXGT16NBMmTCA0NJQ9e/bg6emZ5eskJSVx4sQJ2rdvb7C/ffv2HD58ONNzGzRogLu7O23btmXv3r0Gnx05ciTNNTt06JDpNRMTE4mJiTHYipunq3enSPWuEELkqWwnU4AuXbpw6NAh4uLiuHz5Mr169WLcuHF4e3tn+RqRkZFotVpcXV0N9ru6uhIeHp7uOe7u7ixZsoQNGzawceNGqlWrRtu2bQ06PoWHh2frmgAzZszAwcFBv5UvXz7Lz1EUaHUK7z+u3m1drTR9pXpXCCHyVI7Hme7Zswd/f382btyIh4cHvXv3ZunSpdm+zrM9SRVFybB3abVq1ahWrZr+va+vLzdv3uSbb76hZcuWObomwKRJkxg/frz+fUxMTLFKqD8FXSVY33tXJmcQQoi8lq1keuvWLZYvX46/vz9xcXH069eP5ORkfe/Z7HB2dsbU1DRNiTEiIiJNyTIzTZs25eeff9a/d3Nzy/Y1LS0tsbS0zPI9i5LLEQ+Z81T1rruDtZEjEkKI4ifL1bydO3emZs2anD17lu+++47bt2/z3Xff5fjGFhYWeHt7ExgYaLA/MDCQZs2aZfk6J0+exN3dXf/e19c3zTV37dqVrWsWF1K9K4QQBSPLJdNdu3bx7rvv8tZbb+XZNILjx49n0KBB+Pj44Ovry5IlSwgJCWHUqFGAWv0aGhrKypUrAZg/fz6enp7UqlWLpKQkfv75ZzZs2MCGDRv01xw7diwtW7Zk1qxZdO/end9++43du3dz8ODBPIm5KNFX71pK9a4QQuSnLCfToKAg/P398fHxoXr16gwaNAg/P79c3dzPz4+oqCimTZtGWFgYtWvXZtu2bfpJ88PCwgzGnCYlJfH+++8TGhqKtbU1tWrVYuvWrXTu3Fl/TLNmzVi7di2ffPIJU6ZMoVKlSgQEBNCkSZNcxVrUXI6IlepdIYQoINkeZxofH8/atWvx9/fn2LFjaLVa5s6dy7Bhw7Czs8uvOAtUUR9nqtUp9Fl8mJMhD2hVtTTL32gkpVIhhMiBfBtnamNjw7Bhwzh48CBnzpxhwoQJzJw5ExcXF1599dVcBS3yxtKDVzkZItW7QghRUHI0zjRVtWrVmD17Nrdu3cry7EIif12OiOWbXWr17idda1CmpFTvCiFEfstVMk1lampKjx492LJlS15cTuSQVqfwwa+nSErR0bJqafr5FJ+xskIIUZjlSTIVhcPT1bszpXpXCCEKjCTTYkKqd4UQwngkmRYDWp3Ch1K9K4QQRiPJtBjwP3iNf0IeUEKqd4UQwigkmRZxV+7G8s2uCwB80kWqd4UQwhgkmRZxkzacITFFR4sqzvg1kupdIYQwBkmmRdit+/Ecu34PUxMNM3vXlepdIYQwEkmmRdjRq/cAqFPWgbJSvSuEEEYjybQIO3IlCgDfSk5GjkQIIV5skkyLsKNX1WTatKIkUyGEMCZJpkXUzXvxhD54hJmJBh8PR2OHI4QQLzRJpkVUahVvvfIlsbXM8rK0Qggh8oEk0yLqSRVvKSNHIoQQQpJpEaQoCkceJ1Pfis5GjkYIIYQk0yLoRlQ8YdEJmJtq8Jb2UiGEMDpJpkVQahVvg/KOWFuYGjkaIYQQkkyLoCPSXiqEEIWKJNMiRlEUfU/epjJZgxBCFAqSTIuYa5FxRDxMxMLMhIYVpL1UCCEKA0mmRcwRfXtpSazMpb1UCCEKA0mmRYzMxyuEEIWPJNMiRFEU/UoxvjIfrxBCFBqSTIuQK3djiYxNxNLMhPoVSho7HCGEEI9JMi1CUqt4vT0csTST9lIhhCgsJJkWIU+mEJQqXiGEKEwkmRYRT7eXyvhSIYQoXIyeTBcuXIiXlxdWVlZ4e3sTFBSUpfMOHTqEmZkZ9evXN9i/fPlyNBpNmi0hISEfoi84F+/Eci8uCWtzU+qVK2nscIQQQjzFqMk0ICCAcePGMXnyZE6ePEmLFi3o1KkTISEhmZ4XHR3N4MGDadu2bbqf29vbExYWZrBZWVnlxyMUmCNXIgHw8XTEwszofwMJIYR4ilF/K8+dO5fhw4czYsQIatSowfz58ylfvjyLFi3K9Lw333yTAQMG4Ovrm+7nGo0GNzc3g62o01fxSnupEEIUOkZLpklJSZw4cYL27dsb7G/fvj2HDx/O8Lxly5Zx5coVPvvsswyPiY2NxcPDg3LlytG1a1dOnjyZaSyJiYnExMQYbIWJTqdw9Frq5PaSTIUQorAxWjKNjIxEq9Xi6upqsN/V1ZXw8PB0z7l06RIfffQRq1evxszMLN1jqlevzvLly9myZQtr1qzBysqK5s2bc+nSpQxjmTFjBg4ODvqtfPnyOX+wfHA+/CEP4pOxsTClbjkHY4cjhBDiGUZvfNNoNAbvFUVJsw9Aq9UyYMAApk6dStWqVTO8XtOmTRk4cCD16tWjRYsWrFu3jqpVq/Ldd99leM6kSZOIjo7Wbzdv3sz5A+WD1PVLfTxLYW5q9G+ZEEKIZ6RfvCsAzs7OmJqapimFRkREpCmtAjx8+JC///6bkydPMmbMGAB0Oh2KomBmZsauXbto06ZNmvNMTExo1KhRpiVTS0tLLC0tc/lE+UfGlwohROFmtGKOhYUF3t7eBAYGGuwPDAykWbNmaY63t7fnzJkzBAcH67dRo0ZRrVo1goODadKkSbr3URSF4OBg3N3d8+U58ptWp/DXVZncXgghCjOjlUwBxo8fz6BBg/Dx8cHX15clS5YQEhLCqFGjALX6NTQ0lJUrV2JiYkLt2rUNzndxccHKyspg/9SpU2natClVqlQhJiaGBQsWEBwczA8//FCgz5ZXzoXFEJOQQglLM2qXsTd2OEIIIdJh1GTq5+dHVFQU06ZNIywsjNq1a7Nt2zY8PDwACAsLe+6Y02c9ePCAkSNHEh4ejoODAw0aNODAgQM0btw4Px4h36W2lzbydMRM2kuFEKJQ0iiKohg7iMImJiYGBwcHoqOjsbc3bmlw+PLj/Hk+go87V2dky0pGjUUIIV40Wc0HUtQpxLQ6hWPXUtcvdTZyNEIIITIiybQQ++92NA8TU7CzMqOmtJcKIUShJcm0EEtdv7SJVylMTdKOvRVCCFE4SDItxFI7H8kUgkIIUbhJMi2kUrQ6jl+/D0gyFUKIwk6SaSF1JjSa2MQUHKzNqeku7aVCCFGYSTItpFKXXGviVQoTaS8VQohCTZJpIXVE2kuFEKLIkGRaCCVrdfx9/fH4UpmPVwghCj1JpoXQ6VsPiE/S4mhjTjVXO2OHI4QQ4jkkmRZCT9pLnaS9VAghigBJpoVQ6mQNUsUrhBBFgyTTQiYxRcvfN6S9VAghihJJpoXM6VvRJCTrcLK1oIpLCWOHI4QQIgskmRYyqVW8TSs6odFIe6kQQhQFkkwLGX0ylSpeIYQoMiSZFiIJyVr+CVHn4/WtWMrI0QghhMgqSaaFSPDNBySm6ChtZ0ml0tJeKoQQRYUk00JE2kuFEKJokmRaiDxZv1SqeIUQoiiRZFpIJCRrORnyAABfmdxeCCGKFEmmhcQ/N+6TpNXham+Jl7OtscMRQgiRDZJMC4nUKl5faS8VQogiR5JpISHrlwohRNElybQQeJSkJfjmA0Dm4xVCiKJIkmkhcOLGfZK1CmUcrKhQysbY4QghhMgmSaaFwJGrkYCMLxVCiKJKkmkhIPPxCiFE0SbJ1MjiElM4fSsakPGlQghRVJkZO4AX3d837pOiUyhb0pry0l4qCimtVktycrKxwxAiz5mbm2Nqaprr6xg9mS5cuJCvv/6asLAwatWqxfz582nRosVzzzt06BCtWrWidu3aBAcHG3y2YcMGpkyZwpUrV6hUqRJffvklPXv2zKcnyJ3UKl7pxSsKI0VRCA8P58GDB8YORYh8U7JkSdzc3HLVZ8WoyTQgIIBx48axcOFCmjdvzo8//kinTp04e/YsFSpUyPC86OhoBg8eTNu2bblz547BZ0eOHMHPz48vvviCnj17smnTJvr168fBgwdp0qRJfj9Stj09WYMQhU1qInVxccHGxkY6yIliRVEU4uPjiYiIAMDd3T3H19IoiqLkVWDZ1aRJExo2bMiiRYv0+2rUqEGPHj2YMWNGhuf179+fKlWqYGpqyubNmw1Kpn5+fsTExLB9+3b9vo4dO+Lo6MiaNWvSvV5iYiKJiYn69zExMZQvX57o6Gjs7e1z8YSZi01Mod7UXWh1Coc+akPZktb5di8hskur1XLx4kVcXFxwcpI/9kTxFRUVRUREBFWrVk1T5RsTE4ODg8Nz84HROiAlJSVx4sQJ2rdvb7C/ffv2HD58OMPzli1bxpUrV/jss8/S/fzIkSNprtmhQ4dMrzljxgwcHBz0W/ny5bPxJDl3/No9tDqFCqVsJJGKQie1jdTGRtryRfGW+n88N/0CjJZMIyMj0Wq1uLq6Gux3dXUlPDw83XMuXbrERx99xOrVqzEzS7+GOjw8PFvXBJg0aRLR0dH67ebNm9l8mpw5IlW8ogiQql1R3OXF/3Gjd0B69iEURUn3wbRaLQMGDGDq1KlUrVo1T66ZytLSEktLy2xEnTf065dWkvVLhRCiKDNaydTZ2RlTU9M0JcaIiIg0JUuAhw8f8vfffzNmzBjMzMwwMzNj2rRpnDp1CjMzM/bs2QOAm5tblq9pTDEJyfwbmjq+1NnI0Qghnqd169aMGzcuy8dfv34djUaTZrSBKJ6MlkwtLCzw9vYmMDDQYH9gYCDNmjVLc7y9vT1nzpwhODhYv40aNYpq1aoRHBys76nr6+ub5pq7du1K95rGdOzqPXQKeDnb4uZgZexwhCg2NBpNptvQoUNzdN2NGzfyxRdfZPn48uXLExYWRu3atXN0v5xo3749pqamHD16tMDuKVRGreYdP348gwYNwsfHB19fX5YsWUJISAijRo0C1LbM0NBQVq5ciYmJSZr/lC4uLlhZWRnsHzt2LC1btmTWrFl0796d3377jd27d3Pw4MECfbbn0VfxVpQqXiHyUlhYmP51QEAAn376KRcuXNDvs7Y27OyXnJyMubn5c69bqlT2flZNTU1xc3PL1jm5ERISwpEjRxgzZgxLly6ladOmBXbv9GT161pcGHU6QT8/P+bPn8+0adOoX78+Bw4cYNu2bXh4eADqD0VISEi2rtmsWTPWrl3LsmXLqFu3LsuXLycgIKDQjTGV9UtFUaQoCvFJKQW+ZWcEn5ubm35zcHBAo9Ho3yckJFCyZEnWrVtH69atsbKy4ueffyYqKorXXnuNcuXKYWNjQ506ddIMpXu2mtfT05OvvvqKYcOGYWdnR4UKFViyZIn+82erefft24dGo+HPP//Ex8cHGxsbmjVrZpDoAaZPn46Liwt2dnaMGDGCjz76iPr16z/3uZctW0bXrl156623CAgIIC4uzuDzBw8eMHLkSFxdXfWFkD/++EP/eepEODY2Njg6OtKhQwfu37+vf9b58+cbXK9+/fp8/vnn+vcajYbFixfTvXt3bG1tmT59OlqtluHDh+Pl5YW1tTXVqlXj22+/TRO7v78/tWrVwtLSEnd3d8aMGQPAsGHD6Nq1q8GxKSkpuLm54e/v/9yvSUEyegek0aNHM3r06HQ/W758eabnfv755wbfzFR9+vShT58+eRBd/ngQn8TZsBhAevKKouVRspaan+4s8PuendYBG4u8+3U1ceJE5syZw7Jly7C0tCQhIQFvb28mTpyIvb09W7duZdCgQVSsWDHTP8TnzJnDF198wccff8yvv/7KW2+9RcuWLalevXqG50yePJk5c+ZQunRpRo0axbBhwzh06BAAq1ev5ssvv9RPZLN27VrmzJmDl5dXps+jKArLli3jhx9+oHr16lStWpV169bxxhtvAKDT6ejUqRMPHz7k559/plKlSpw9e1Y/pjI4OJi2bdsybNgwFixYgJmZGXv37kWr1Wbr6/rZZ58xY8YM5s2bh6mpKTqdjnLlyrFu3TqcnZ05fPgwI0eOxN3dnX79+gGwaNEixo8fz8yZM+nUqRPR0dH6r8eIESNo2bIlYWFh+gkVtm3bRmxsrP78wsLoyfRFdOzaPRQFKpa2xcVe2kuFKGjjxo2jV69eBvvef/99/et33nmHHTt2sH79+kyTaefOnfWFgYkTJzJv3jz27duXaTL98ssvadWqFQAfffQRXbp0ISEhASsrK7777juGDx+uT4Kffvopu3btIjY2NtPn2b17N/Hx8XTo0AGAgQMHsnTpUv11du/ezbFjxzh37px+NETFihX158+ePRsfHx8WLlyo31erVq1M75meAQMGMGzYMIN9U6dO1b/28vLi8OHDrFu3Tp8Mp0+fzoQJExg7dqz+uEaNGgFqTWO1atVYtWoVH374IaCWwPv27UuJEiWyHV9+kmRqBDK+VBRV1uamnJ3WwSj3zUs+Pj4G77VaLTNnziQgIIDQ0FD9rGi2traZXqdu3br616nVyalT02XlnNTSVkREBBUqVODChQtpauoaN26sH62QkaVLl+Ln56cff//aa6/xwQcfcOHCBX0nzXLlymU4rDA4OJi+fftmeo+sePbrCrB48WJ++uknbty4waNHj0hKStJXW0dERHD79m3atm2b4TVHjBjBkiVL+PDDD4mIiGDr1q38+eefuY41r0kyNQKZ3F4UVRqNJk+rW43l2SQ5Z84c5s2bx/z586lTpw62traMGzeOpKSkTK/zbAcbjUaDTqfL8jmp49+fPie9cfKZuXfvHps3byY5OdlgalatVou/vz+zZs1K0+nqWc/73MTEJE0c6c0W9OzXdd26dbz33nvMmTMHX19f7Ozs+Prrr/nrr7+ydF+AwYMH89FHH3HkyBGOHDmCp6dnlhZDKWiynmkBux+XxPnwh4B0PhKisAgKCqJ79+4MHDiQevXqUbFiRS5dulTgcVSrVo1jx44Z7Pv7778zPWf16tWUK1eOU6dOGQwdnD9/PitWrCAlJYW6dety69YtLl68mO416tatm2lpr3Tp0ga9pGNiYrh27dpznycoKIhmzZoxevRoGjRoQOXKlbly5Yr+czs7Ozw9PTO9t5OTEz169GDZsmUsW7ZMX3Vd2BT9PzGLmL+uqaXSKi4lcC5R8LMuCSHSqly5Mhs2bODw4cM4Ojoyd+5cwsPDqVGjRoHG8c477/C///0PHx8fmjVrRkBAAKdPnzZo33zW0qVL6dOnT5qhgx4eHkycOJGtW7fSvXt3WrZsSe/evZk7dy6VK1fm/PnzaDQaOnbsyKRJk6hTpw6jR49m1KhRWFhYsHfvXvr27YuzszNt2rRh+fLldOvWDUdHR6ZMmZKlNUArV67MypUr2blzJ15eXqxatYrjx48bdKj6/PPPGTVqFC4uLvpOUocOHeKdd97RHzNixAi6du2KVqtlyJAhOfjK5j8pmRYwqeIVovCZMmUKDRs2pEOHDrRu3Ro3Nzd69OhR4HG8/vrrTJo0iffff5+GDRty7do1hg4dipVV+h0VT5w4walTp+jdu3eaz+zs7Gjfvj1Lly4F1HWeGzVqxGuvvUbNmjX58MMP9b11q1atyq5duzh16hSNGzfG19eX3377Td8GO2nSJFq2bEnXrl3p3LkzPXr0oFKlSs99nlGjRtGrVy/8/Pxo0qQJUVFRadqEhwwZwvz581m4cCG1atWia9euaWoF2rVrh7u7Ox06dKBMmTLP/0IagVGXYCussrrkTk50mHeAC3cesuj1hnSqk/O184TIbwkJCVy7dg0vL68Mf5mL/PfKK6/g5ubGqlWrjB2K0cTHx1OmTBn8/f3T9MLOC5n9X89qPpBq3gIUFZvIhTtqe2kTaS8VQjwjPj6exYsX06FDB0xNTVmzZg27d+9OM0Xqi0Kn0xEeHs6cOXNwcHDg1VdfNXZIGZJkWoCOXr0HQHU3O0rZWhg5GiFEYaPRaNi2bRvTp08nMTGRatWqsWHDBtq1a2fs0IwiJCQELy8vypUrx/LlyzNcerMwKLyRFUNHZQpBIUQmrK2t2b17t7HDKDQ8PT2zNZWkMUkHpAIk8/EKIUTxJMm0gEQ8TOByRCwajawUI4QQxY0k0wLy1+P20hpu9pS0kfZSIYQoTiSZFhCp4hVCiOJLkmkBOSqTNQghRLElybQA3IlJ4GpkHBoNNPaS9lIhhChuJJkWgNQhMbXK2ONgbf6co4UQhUHr1q0ZN26c/r2npyfz58/P9ByNRsPmzZtzfe+8uo4oOJJMC4B+Pl5pLxUi33Xr1i3DSQ6OHDmCRqPhn3/+yfZ1jx8/zsiRI3MbnoHPP/9cv7bn08LCwujUqVOe3isjjx49wtHRkVKlSvHo0aMCuWdxJMm0AOgXA5f2UiHy3fDhw9mzZw83btxI85m/vz/169enYcOG2b5u6dKlsbGxyYsQn8vNzQ1Ly4JZVWrDhg3Url2bmjVrsnHjxgK5Z0YURSElJcWoMeSUJNN8dvvBI25ExWOiAR9PaS8VRZyiQFJcwW/ZmAWna9euuLi4sHz5coP98fHxBAQEMHz4cKKionjttdcoV64cNjY21KlThzVr1mR63WereS9dukTLli2xsrKiZs2a6c6fO3HiRKpWrYqNjQ0VK1ZkypQp+kW1ly9fztSpUzl16hQajQaNRqOP+dlq3jNnztCmTRusra1xcnJi5MiRxMbG6j8fOnQoPXr04JtvvsHd3R0nJyfefvvtdBfwftbSpUsZOHAgAwcO1K8w87T//vuPLl26YG9vj52dHS1atDBYk9Tf359atWphaWmJu7s7Y8aMAeD69etoNBqCg4P1xz548ACNRsO+ffsA2LdvHxqNhp07d+Lj44OlpSVBQUFcuXKF7t274+rqSokSJWjUqFGamaESExP58MMPKV++PJaWllSpUoWlS5eiKAqVK1fmm2++MTj+33//xcTExCD2vCTTCeaz1PbSOmUdsLeS9lJRxCXHw1dGWALr49tgYZulQ83MzBg8eDDLly/n008/RaPRALB+/XqSkpJ4/fXXiY+Px9vbm4kTJ2Jvb8/WrVsZNGgQFStWpEmTJs+9h06no1evXjg7O3P06FFiYmIM2ldT2dnZsXz5csqUKcOZM2f43//+h52dHR9++CF+fn78+++/7NixQ58oHBwc0lwjPj6ejh070rRpU44fP05ERAQjRoxgzJgxBn8w7N27F3d3d/bu3cvly5fx8/Ojfv36/O9//8vwOa5cucKRI0fYuHEjiqIwbtw4rl69ql8/NTQ0lJYtW9K6dWv27NmDvb09hw4d0pceFy1axPjx45k5cyadOnUiOjqaQ4cOPffr96wPP/yQb775hooVK1KyZElu3bpF586dmT59OlZWVqxYsYJu3bpx4cIFKlSoAMDgwYM5cuQICxYsoF69ely7do3IyEg0Gg3Dhg1j2bJlvP/++/p7+Pv706JFiywtHZcTkkzzWWp7aVOp4hWiwAwbNoyvv/6affv28fLLLwPol+9ydHTE0dHR4BftO++8w44dO1i/fn2Wkunu3bs5d+4c169fp1y5cgB89dVXado5P/nkE/1rT09PJkyYQEBAAB9++CHW1taUKFECMzMz3NzcMrzX6tWrefToEStXrsTWVv2D4vvvv6dbt27MmjULV1dXABwdHfn+++8xNTWlevXqdOnShT///DPTZOrv70+nTp1wdHQEoGPHjvj7+zN9+nQAfvjhBxwcHFi7di3m5mphoGrVqvrzp0+fzoQJExg7dqx+X6NGjZ779XvWtGnTeOWVV/TvnZycqFevnsF9Nm3axJYtWxgzZgwXL15k3bp1BAYG6tvHn15A/Y033uDTTz/l2LFjNG7cmOTkZH7++We+/vrrbMeWVZJM89nRazJZgyhGzG3UUqIx7psN1atXp1mzZvj7+/Pyyy9z5coVgoKC2LVrFwBarZaZM2cSEBBAaGgoiYmJJCYm6pPV85w7d44KFSroEymAr69vmuN+/fVX5s+fz+XLl4mNjSUlJSXbaySfO3eOevXqGcTWvHlzdDodFy5c0CfTWrVqYWpqqj/G3d2dM2fOZHhdrVbLihUr+Pbbb/X7Bg4cyHvvvcfUqVMxNTUlODiYFi1a6BPp0yIiIrh9+zZt27bN1vOkx8fHx+B9XFwcU6dO5Y8//uD27dukpKTw6NEjQkJCAAgODsbU1JRWrVqlez13d3e6dOmCv78/jRs35o8//iAhIYG+ffvmOtaMSJtpPrp1P56b9x5haqKhkbSXiuJAo1GrWwt6e1xVmx3Dhw9nw4YNxMTEsGzZMjw8PPS/+OfMmcO8efP48MMP2bNnD8HBwXTo0IGkpKQsXTu9lUw0z8R49OhR+vfvT6dOnfjjjz84efIkkydPzvI9nr7Xs9dO757PJjyNRoNOp8vwujt37iQ0NBQ/Pz/MzMwwMzOjf//+3Lp1S/9Hh7W1dYbnZ/YZgImJiT7+VBm14T77R8wHH3zAhg0b+PLLLwkKCiI4OJg6derov3bPuzfAiBEjWLt2LY8ePWLZsmX4+fnlawcySab5KLWKt245B0pYSiWAEAWpX79+mJqa8ssvv7BixQreeOMNffIJCgqie/fuDBw4kHr16lGxYkUuXbqU5WvXrFmTkJAQbt9+Uko/cuSIwTGHDh3Cw8ODyZMn4+PjQ5UqVdL0MLawsECr1T73XsHBwcTFxRlc28TExKDKNbuWLl1K//79CQ4ONthef/11fUekunXrEhQUlG4StLOzw9PTkz///DPd65cuXRpQh/mkerozUmaCgoIYOnQoPXv2pE6dOri5uXH9+nX953Xq1EGn07F///4Mr9G5c2dsbW1ZtGgR27dvZ9iwYVm6d05JMs1HqYuBy/hSIQpeiRIl8PPz4+OPP+b27dsMHTpU/1nlypUJDAzk8OHDnDt3jjfffJPw8PAsX7tdu3ZUq1aNwYMHc+rUKYKCgpg8ebLBMZUrVyYkJIS1a9dy5coVFixYwKZNmwyO8fT05Nq1awQHBxMZGUliYmKae73++utYWVkxZMgQ/v33X/bu3cs777zDoEGD9FW82XX37l1+//13hgwZQu3atQ22IUOGsGXLFu7evcuYMWOIiYmhf//+/P3331y6dIlVq1Zx4cIFQB0nO2fOHBYsWMClS5f4559/+O677wC19Ni0aVNmzpzJ2bNnOXDggEEbcmYqV67Mxo0bCQ4O5tSpUwwYMMCglO3p6cmQIUMYNmwYmzdv5tq1a+zbt49169bpjzE1NWXo0KFMmjSJypUrp1sNn5ckmeYTRVFkMXAhjGz48OHcv3+fdu3a6XuBAkyZMoWGDRvSoUMHWrdujZubGz169MjydU1MTNi0aROJiYk0btyYESNG8OWXXxoc0717d9577z3GjBlD/fr1OXz4MFOmTDE4pnfv3nTs2JGXX36Z0qVLpzs8x8bGhp07d3Lv3j0aNWpEnz59aNu2Ld9//332vhhPSe3MlF5758svv4ydnR2rVq3CycmJPXv2EBsbS6tWrfD29ub//u//9FXKQ4YMYf78+SxcuJBatWrRtWtXgxK+v78/ycnJ+Pj4MHbsWH3HpueZN28ejo6ONGvWjG7dutGhQ4c0Y4MXLVpEnz59GD16NNWrV+d///ufQekd1O9/UlJSvpdKATRKUVnGvADFxMTg4OBAdHR0tjsLpAqJiqfl13sxN9Vw6rP22FhINa8oWhISErh27RpeXl5YWVkZOxwhsu3QoUO0bt2aW7duZVqKz+z/elbzgfyGzyePkrW0re6CTlEkkQohRAFKTEzk5s2bTJkyhX79+uW4Ojw7jF7Nu3DhQv1fA97e3gQFBWV47MGDB2nevDlOTk5YW1tTvXp15s2bZ3DM8uXL9bOJPL0lJCTk96MYqOZmx9KhjVj2RuMCva8QQrzo1qxZQ7Vq1YiOjmb27NkFck+jFpkCAgIYN24cCxcupHnz5vz444906tSJs2fPGrRvpLK1tWXMmDHUrVsXW1tbDh48yJtvvomtra3BBNT29vb6BvJUUk0lhBAvhqFDhxp0OCsIRk2mc+fOZfjw4YwYMQKA+fPns3PnThYtWsSMGTPSHN+gQQMaNGigf+/p6cnGjRsJCgoySKYajSbTGUWEEEKIvGS0at6kpCROnDhB+/btDfa3b9+ew4cPZ+kaJ0+e5PDhw2lmwYiNjcXDw4Ny5crRtWtXTp48mel1EhMTiYmJMdiEECrpoyiKu7z4P260ZBoZGYlWq03TMOzq6vrc8V7lypXD0tISHx8f3n77bX3JFtRpxJYvX86WLVtYs2YNVlZWNG/ePNMB2TNmzMDBwUG/lS9fPncPJ0QxkDr8IT4+3siRCJG/Uv+PpzdtYlYZvZvps9NkZTZ1VqqgoCBiY2M5evQoH330EZUrV+a1114DoGnTpjRt2lR/bPPmzWnYsCHfffcdCxYsSPd6kyZNYvz48fr3MTExklDFC8/U1JSSJUsSEREBqOMdn/ezKURRoigK8fHxREREULJkSYO5jbPLaMnU2dkZU1PTNKXQiIiI53Zj9vLyAtQppe7cucPnn3+uT6bPMjExoVGjRpmWTC0tLQtsIV4hipLUvgepCVWI4qhkyZK57mdjtGRqYWGBt7c3gYGB9OzZU78/MDCQ7t27Z/k6iqKkOwXX05+nTpIshMgejUaDu7s7Li4uWVpoWoiixtzcPFcl0lRGreYdP348gwYNwsfHB19fX5YsWUJISAijRo0C1OrX0NBQVq5cCahr61WoUIHq1asD6rjTb775hnfeeUd/zalTp9K0aVOqVKlCTEwMCxYsIDg4mB9++KHgH1CIYsLU1DRPfuEIUVwZNZn6+fkRFRXFtGnTCAsLo3bt2mzbtg0PDw9AXW0gdf06UFe3nzRpEteuXcPMzIxKlSoxc+ZM3nzzTf0xDx48YOTIkYSHh+Pg4ECDBg04cOAAjRvL5AlCCCHyh8zNm468mJtXCCFE0ZfVfGD06QSFEEKIos7oQ2MKo9TCukzeIIQQL7bUPPC8SlxJpul4+PAhgIw1FUIIAah5wcHBIcPPpc00HTqdjtu3b2NnZ5erQeqpkz/cvHmzSLe9FpfngOLzLPIchU9xeRZ5DkOKovDw4UPKlCmDiUnGLaNSMk2HiYkJ5cqVy7Pr2dvbF+n/lKmKy3NA8XkWeY7Cp7g8izzHE5mVSFNJByQhhBAilySZCiGEELkkyTQfWVpa8tlnnxX5eX+Ly3NA8XkWeY7Cp7g8izxHzkgHJCGEECKXpGQqhBBC5JIkUyGEECKXJJkKIYQQuSTJVAghhMglSab5ZOHChXh5eWFlZYW3tzdBQUHGDinbZsyYQaNGjbCzs8PFxYUePXpw4cIFY4eVazNmzECj0TBu3Dhjh5JtoaGhDBw4ECcnJ2xsbKhfvz4nTpwwdljZlpKSwieffIKXlxfW1tZUrFiRadOmodPpjB1apg4cOEC3bt0oU6YMGo2GzZs3G3yuKAqff/45ZcqUwdramtatW/Pff/8ZJ9jnyOxZkpOTmThxInXq1MHW1pYyZcowePBgbt++bbyAM/C878nT3nzzTTQaDfPnz8/zOCSZ5oOAgADGjRvH5MmTOXnyJC1atKBTp04Ga7MWBfv37+ftt9/m6NGjBAYGkpKSQvv27YmLizN2aDl2/PhxlixZQt26dY0dSrbdv3+f5s2bY25uzvbt2zl79ixz5syhZMmSxg4t22bNmsXixYv5/vvvOXfuHLNnz+brr7/mu+++M3ZomYqLi6NevXp8//336X4+e/Zs5s6dy/fff8/x48dxc3PjlVde0c/3XZhk9izx8fH8888/TJkyhX/++YeNGzdy8eJFXn31VSNEmrnnfU9Sbd68mb/++osyZcrkTyCKyHONGzdWRo0aZbCvevXqykcffWSkiPJGRESEAij79+83dig58vDhQ6VKlSpKYGCg0qpVK2Xs2LHGDilbJk6cqLz00kvGDiNPdOnSRRk2bJjBvl69eikDBw40UkTZByibNm3Sv9fpdIqbm5syc+ZM/b6EhATFwcFBWbx4sREizLpnnyU9x44dUwDlxo0bBRNUDmT0HLdu3VLKli2r/Pvvv4qHh4cyb968PL+3lEzzWFJSEidOnKB9+/YG+9u3b8/hw4eNFFXeiI6OBqBUqVJGjiRn3n77bbp06UK7du2MHUqObNmyBR8fH/r27YuLiwsNGjTg//7v/4wdVo689NJL/Pnnn1y8eBGAU6dOcfDgQTp37mzkyHLu2rVrhIeHG/zsW1pa0qpVqyL/sw/qz79GoylyNSE6nY5BgwbxwQcfUKtWrXy7j0x0n8ciIyPRarW4uroa7Hd1dSU8PNxIUeWeoiiMHz+el156idq1axs7nGxbu3Yt//zzD8ePHzd2KDl29epVFi1axPjx4/n44485duwY7777LpaWlgwePNjY4WXLxIkTiY6Opnr16piamqLVavnyyy957bXXjB1ajqX+fKf3s3/jxg1jhJRnEhIS+OijjxgwYECRm/x+1qxZmJmZ8e677+brfSSZ5pNnl25TFCVXy7kZ25gxYzh9+jQHDx40dijZdvPmTcaOHcuuXbuwsrIydjg5ptPp8PHx4auvvgKgQYMG/PfffyxatKjIJdOAgAB+/vlnfvnlF2rVqkVwcDDjxo2jTJkyDBkyxNjh5Upx+9lPTk6mf//+6HQ6Fi5caOxwsuXEiRN8++23/PPPP/n+PZBq3jzm7OyMqalpmlJoREREmr9Yi4p33nmHLVu2sHfv3jxdmq6gnDhxgoiICLy9vTEzM8PMzIz9+/ezYMECzMzM0Gq1xg4xS9zd3alZs6bBvho1ahS5jm0AH3zwAR999BH9+/enTp06DBo0iPfee48ZM2YYO7Qcc3NzAyhWP/vJycn069ePa9euERgYWORKpUFBQURERFChQgX9z/6NGzeYMGECnp6eeXovSaZ5zMLCAm9vbwIDAw32BwYG0qxZMyNFlTOKojBmzBg2btzInj178PLyMnZIOdK2bVvOnDlDcHCwfvPx8eH1118nODgYU1NTY4eYJc2bN08zNOnixYt4eHgYKaKci4+PT7PQsqmpaaEfGpMZLy8v3NzcDH72k5KS2L9/f5H72YcnifTSpUvs3r0bJycnY4eUbYMGDeL06dMGP/tlypThgw8+YOfOnXl6L6nmzQfjx49n0KBB+Pj44Ovry5IlSwgJCWHUqFHGDi1b3n77bX755Rd+++037Ozs9H9xOzg4YG1tbeToss7Ozi5NO6+trS1OTk5Fqv33vffeo1mzZnz11Vf069ePY8eOsWTJEpYsWWLs0LKtW7dufPnll1SoUIFatWpx8uRJ5s6dy7Bhw4wdWqZiY2O5fPmy/v21a9cIDg6mVKlSVKhQgXHjxvHVV19RpUoVqlSpwldffYWNjQ0DBgwwYtTpy+xZypQpQ58+ffjnn3/4448/0Gq1+p//UqVKYWFhYayw03je9+TZPwLMzc1xc3OjWrVqeRtInvcPFoqiKMoPP/ygeHh4KBYWFkrDhg2L5HASIN1t2bJlxg4t14ri0BhFUZTff/9dqV27tmJpaalUr15dWbJkibFDypGYmBhl7NixSoUKFRQrKyulYsWKyuTJk5XExERjh5apvXv3pvszMWTIEEVR1OExn332meLm5qZYWloqLVu2VM6cOWPcoDOQ2bNcu3Ytw5//vXv3Gjt0A8/7njwrv4bGyBJsQgghRC5Jm6kQQgiRS5JMhRBCiFySZCqEEELkkiRTIYQQIpckmQohhBC5JMlUCCGEyCVJpkIIIUQuSTIVQgghckmSqRAiT2k0GjZv3mzsMIQoUJJMhShGhg4dikajSbN17NjR2KEJUazJRPdCFDMdO3Zk2bJlBvssLS2NFI0QLwYpmQpRzFhaWuLm5mawOTo6AmoV7KJFi+jUqRPW1tZ4eXmxfv16g/PPnDlDmzZtsLa2xsnJiZEjRxIbG2twjL+/P7Vq1cLS0hJ3d3fGjBlj8HlkZCQ9e/bExsaGKlWqsGXLlvx9aCGMTJKpEC+YKVOm0Lt3b06dOsXAgQN57bXXOHfuHKCuM9qxY0ccHR05fvw469evZ/fu3QbJctGiRbz99tuMHDmSM2fOsGXLFipXrmxwj6lTp9KvXz9Onz5N586def3117l3716BPqcQBSrP16ERQhjNkCFDFFNTU8XW1tZgmzZtmqIo6rJ6o0aNMjinSZMmyltvvaUoiqIsWbJEcXR0VGJjY/Wfb926VTExMVHCw8MVRVGUMmXKKJMnT84wBkD55JNP9O9jY2MVjUajbN++Pc+eU4jCRtpMhShmXn75ZRYtWmSwr1SpUvrXvr6+Bp/5+voSHBwMwLlz56hXrx62trb6z5s3b45Op+PChQtoNBpu375N27ZtM42hbt26+te2trbY2dkRERGR00cSotCTZCpEMWNra5um2vV5NBoNAIqi6F+nd4y1tXWWrmdubp7mXJ1Ol62YhChKpM1UiBfM0aNH07yvXr06ADVr1iQ4OJi4uDj954cOHcLExISqVatiZ2eHp6cnf/75Z4HGLERhJyVTIYqZxMREwsPDDfaZmZnh7OwMwPr16/Hx8eGll15i9erVHDt2jKVLlwLw+uuv89lnnzFkyBA+//xz7t69yzvvvMOgQYNwdXUF4PPPP2fUqFG4uLjQqVMnHj58yKFDh3jnnXcK9kGFKEQkmQpRzOzYsQN3d3eDfdWqVeP8+fOA2tN27dq1jB49Gjc3N1avXk3NmjUBsLGxYefOnYwdO5ZGjRphY2ND7969mTt3rv5aQ4YMISEhgXnz5vH+++/j7OxMnz59Cu4BhSiENIqiKMYOQghRMDQaDZs2baJHjx7GDkWIYkXaTIUQQohckmQqhBBC5JK0mQrxApFWHSHyh5RMhRBCiFySZCqEEELkkiRTIYQQIpckmQohhBC5JMlUCCGEyCVJpkIIIUQuSTIVQgghckmSqRBCCJFL/w/9Vt5n0CgcKQAAAABJRU5ErkJggg==",
      "text/plain": [
       "<Figure size 500x400 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.figure(figsize=(5,4))\n",
    "\n",
    "plt.plot(history_dropout.history['accuracy'],\n",
    "         label='Training Accuracy')\n",
    "\n",
    "plt.plot(history_dropout.history['val_accuracy'],\n",
    "         label='Validation Accuracy')\n",
    "\n",
    "plt.title('Dropout CNN Model Accuracy')\n",
    "plt.xlabel('Epoch')\n",
    "plt.ylabel('Accuracy')\n",
    "\n",
    "plt.legend()\n",
    "\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 27,
   "id": "ac16a84f-4dfd-47bf-92ec-bafede9e7b7d",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 500x400 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.figure(figsize=(5,4))\n",
    "\n",
    "plt.plot(history_dropout.history['loss'],\n",
    "         label='Training Loss')\n",
    "\n",
    "plt.plot(history_dropout.history['val_loss'],\n",
    "         label='Validation Loss')\n",
    "\n",
    "plt.title('Dropout CNN Model Loss')\n",
    "plt.xlabel('Epoch')\n",
    "plt.ylabel('Loss')\n",
    "\n",
    "plt.legend()\n",
    "\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 28,
   "id": "41357a3b-fb73-4d1e-930d-ec0716d54e79",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\u001b[1m313/313\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m1s\u001b[0m 4ms/step - accuracy: 0.6978 - loss: 0.8747\n",
      "Dropout CNN Test Accuracy: 0.6977999806404114\n",
      "Dropout CNN Test Loss: 0.8747281432151794\n"
     ]
    }
   ],
   "source": [
    "dropout_test_loss, dropout_test_accuracy = model_dropout.evaluate(\n",
    "    X_test,\n",
    "    y_test\n",
    ")\n",
    "\n",
    "print(\"Dropout CNN Test Accuracy:\",\n",
    "      dropout_test_accuracy)\n",
    "\n",
    "print(\"Dropout CNN Test Loss:\",\n",
    "      dropout_test_loss)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 29,
   "id": "a0fb7196-d0c6-4ce7-876e-17b1e5854ab5",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\u001b[1m313/313\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m1s\u001b[0m 2ms/step\n",
      "[0.00643954 0.00099611 0.04625851 0.6481003  0.02499764 0.16791305\n",
      " 0.07490111 0.01638661 0.01098978 0.00301737]\n"
     ]
    }
   ],
   "source": [
    "dropout_predictions = model_dropout.predict(X_test)\n",
    "\n",
    "print(dropout_predictions[0])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 30,
   "id": "0aac8528-f5ed-47e0-8bba-2102e48bf1fc",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 600x500 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "dropout_predicted_classes = np.argmax(\n",
    "    dropout_predictions,\n",
    "    axis=1\n",
    ")\n",
    "\n",
    "true_classes = y_test.flatten()\n",
    "\n",
    "cm_dropout = confusion_matrix(\n",
    "    true_classes,\n",
    "    dropout_predicted_classes\n",
    ")\n",
    "\n",
    "plt.figure(figsize=(6,5))\n",
    "\n",
    "sns.heatmap(\n",
    "    cm_dropout,\n",
    "    annot=True,\n",
    "    fmt='d',\n",
    "    cmap='Blues'\n",
    ")\n",
    "\n",
    "plt.xlabel('Predicted Label')\n",
    "plt.ylabel('True Label')\n",
    "\n",
    "plt.title('Dropout CNN Confusion Matrix')\n",
    "\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 31,
   "id": "56cf2435-3c0e-437a-80f4-c2304f01e332",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "              precision    recall  f1-score   support\n",
      "\n",
      "    Airplane       0.77      0.67      0.72      1000\n",
      "  Automobile       0.87      0.81      0.84      1000\n",
      "        Bird       0.63      0.49      0.55      1000\n",
      "         Cat       0.52      0.46      0.49      1000\n",
      "        Deer       0.58      0.69      0.63      1000\n",
      "         Dog       0.59      0.64      0.61      1000\n",
      "        Frog       0.77      0.77      0.77      1000\n",
      "       Horse       0.72      0.79      0.75      1000\n",
      "        Ship       0.73      0.87      0.80      1000\n",
      "       Truck       0.81      0.79      0.80      1000\n",
      "\n",
      "    accuracy                           0.70     10000\n",
      "   macro avg       0.70      0.70      0.70     10000\n",
      "weighted avg       0.70      0.70      0.70     10000\n",
      "\n"
     ]
    }
   ],
   "source": [
    "print(\n",
    "    classification_report(\n",
    "        true_classes,\n",
    "        dropout_predicted_classes,\n",
    "        target_names=class_names\n",
    "    )\n",
    ")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 33,
   "id": "cbed24b4-3c8f-4c94-887d-071c3f5baf01",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "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",
      "text/plain": [
       "<Figure size 200x200 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.figure(figsize=(2,2))\n",
    "\n",
    "plt.imshow(X_test[0])\n",
    "\n",
    "dropout_label = class_names[\n",
    "    dropout_predicted_classes[0]\n",
    "]\n",
    "\n",
    "true_label = class_names[\n",
    "    true_classes[0]\n",
    "]\n",
    "\n",
    "plt.title(\n",
    "    f\"Predicted: {dropout_label}\\nActual: {true_label}\",\n",
    "    fontsize=8\n",
    ")\n",
    "\n",
    "plt.axis('off')\n",
    "\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 34,
   "id": "b9fe6bbc-a64c-412e-ba7d-cd3f50f32a3f",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "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: \"sequential_5\"</span>\n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[1mModel: \"sequential_5\"\u001b[0m\n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "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",
       "│ conv2d_10 (<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\">30</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">30</span>,    │       <span style=\"color: #00af00; text-decoration-color: #00af00\">896</span> │\n",
       "│                          │ <span style=\"color: #00af00; text-decoration-color: #00af00\">32</span>)               │           │\n",
       "├──────────────────────────┼───────────────────┼───────────┤\n",
       "│ conv2d_11 (<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\">9,248</span> │\n",
       "│                          │ <span style=\"color: #00af00; text-decoration-color: #00af00\">32</span>)               │           │\n",
       "├──────────────────────────┼───────────────────┼───────────┤\n",
       "│ max_pooling2d_10         │ (<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\">0</span> │\n",
       "│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">MaxPooling2D</span>)           │ <span style=\"color: #00af00; text-decoration-color: #00af00\">32</span>)               │           │\n",
       "├──────────────────────────┼───────────────────┼───────────┤\n",
       "│ conv2d_12 (<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\">12</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">12</span>,    │    <span style=\"color: #00af00; text-decoration-color: #00af00\">18,496</span> │\n",
       "│                          │ <span style=\"color: #00af00; text-decoration-color: #00af00\">64</span>)               │           │\n",
       "├──────────────────────────┼───────────────────┼───────────┤\n",
       "│ conv2d_13 (<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\">10</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">10</span>,    │    <span style=\"color: #00af00; text-decoration-color: #00af00\">36,928</span> │\n",
       "│                          │ <span style=\"color: #00af00; text-decoration-color: #00af00\">64</span>)               │           │\n",
       "├──────────────────────────┼───────────────────┼───────────┤\n",
       "│ max_pooling2d_11         │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">5</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">5</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">64</span>)  │         <span style=\"color: #00af00; text-decoration-color: #00af00\">0</span> │\n",
       "│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">MaxPooling2D</span>)           │                   │           │\n",
       "├──────────────────────────┼───────────────────┼───────────┤\n",
       "│ flatten_5 (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Flatten</span>)      │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">1600</span>)      │         <span style=\"color: #00af00; text-decoration-color: #00af00\">0</span> │\n",
       "├──────────────────────────┼───────────────────┼───────────┤\n",
       "│ dense_10 (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Dense</span>)         │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">128</span>)       │   <span style=\"color: #00af00; text-decoration-color: #00af00\">204,928</span> │\n",
       "├──────────────────────────┼───────────────────┼───────────┤\n",
       "│ dense_11 (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Dense</span>)         │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">10</span>)        │     <span style=\"color: #00af00; text-decoration-color: #00af00\">1,290</span> │\n",
       "└──────────────────────────┴───────────────────┴───────────┘\n",
       "</pre>\n"
      ],
      "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",
       "│ conv2d_10 (\u001b[38;5;33mConv2D\u001b[0m)       │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m30\u001b[0m, \u001b[38;5;34m30\u001b[0m,    │       \u001b[38;5;34m896\u001b[0m │\n",
       "│                          │ \u001b[38;5;34m32\u001b[0m)               │           │\n",
       "├──────────────────────────┼───────────────────┼───────────┤\n",
       "│ conv2d_11 (\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;34m9,248\u001b[0m │\n",
       "│                          │ \u001b[38;5;34m32\u001b[0m)               │           │\n",
       "├──────────────────────────┼───────────────────┼───────────┤\n",
       "│ max_pooling2d_10         │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m,    │         \u001b[38;5;34m0\u001b[0m │\n",
       "│ (\u001b[38;5;33mMaxPooling2D\u001b[0m)           │ \u001b[38;5;34m32\u001b[0m)               │           │\n",
       "├──────────────────────────┼───────────────────┼───────────┤\n",
       "│ conv2d_12 (\u001b[38;5;33mConv2D\u001b[0m)       │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m12\u001b[0m, \u001b[38;5;34m12\u001b[0m,    │    \u001b[38;5;34m18,496\u001b[0m │\n",
       "│                          │ \u001b[38;5;34m64\u001b[0m)               │           │\n",
       "├──────────────────────────┼───────────────────┼───────────┤\n",
       "│ conv2d_13 (\u001b[38;5;33mConv2D\u001b[0m)       │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m10\u001b[0m, \u001b[38;5;34m10\u001b[0m,    │    \u001b[38;5;34m36,928\u001b[0m │\n",
       "│                          │ \u001b[38;5;34m64\u001b[0m)               │           │\n",
       "├──────────────────────────┼───────────────────┼───────────┤\n",
       "│ max_pooling2d_11         │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m5\u001b[0m, \u001b[38;5;34m5\u001b[0m, \u001b[38;5;34m64\u001b[0m)  │         \u001b[38;5;34m0\u001b[0m │\n",
       "│ (\u001b[38;5;33mMaxPooling2D\u001b[0m)           │                   │           │\n",
       "├──────────────────────────┼───────────────────┼───────────┤\n",
       "│ flatten_5 (\u001b[38;5;33mFlatten\u001b[0m)      │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m1600\u001b[0m)      │         \u001b[38;5;34m0\u001b[0m │\n",
       "├──────────────────────────┼───────────────────┼───────────┤\n",
       "│ dense_10 (\u001b[38;5;33mDense\u001b[0m)         │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m128\u001b[0m)       │   \u001b[38;5;34m204,928\u001b[0m │\n",
       "├──────────────────────────┼───────────────────┼───────────┤\n",
       "│ dense_11 (\u001b[38;5;33mDense\u001b[0m)         │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m10\u001b[0m)        │     \u001b[38;5;34m1,290\u001b[0m │\n",
       "└──────────────────────────┴───────────────────┴───────────┘\n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "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\">271,786</span> (1.04 MB)\n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[1m Total params: \u001b[0m\u001b[38;5;34m271,786\u001b[0m (1.04 MB)\n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "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\">271,786</span> (1.04 MB)\n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[1m Trainable params: \u001b[0m\u001b[38;5;34m271,786\u001b[0m (1.04 MB)\n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "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\">0</span> (0.00 B)\n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[1m Non-trainable params: \u001b[0m\u001b[38;5;34m0\u001b[0m (0.00 B)\n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "model_deep = Sequential()\n",
    "\n",
    "model_deep.add(Input(shape=(32,32,3)))\n",
    "\n",
    "model_deep.add(Conv2D(32, (3,3), activation='relu'))\n",
    "model_deep.add(Conv2D(32, (3,3), activation='relu'))\n",
    "model_deep.add(MaxPooling2D((2,2)))\n",
    "\n",
    "model_deep.add(Conv2D(64, (3,3), activation='relu'))\n",
    "model_deep.add(Conv2D(64, (3,3), activation='relu'))\n",
    "model_deep.add(MaxPooling2D((2,2)))\n",
    "\n",
    "model_deep.add(Flatten())\n",
    "\n",
    "model_deep.add(Dense(128, activation='relu'))\n",
    "model_deep.add(Dense(10, activation='softmax'))\n",
    "\n",
    "model_deep.summary(line_length=60)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 35,
   "id": "2d4a632f-50c6-4287-ab8c-bb08bec1623e",
   "metadata": {},
   "outputs": [],
   "source": [
    "model_deep.compile(\n",
    "    optimizer='adam',\n",
    "    loss='sparse_categorical_crossentropy',\n",
    "    metrics=['accuracy']\n",
    ")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 36,
   "id": "c3f66859-9330-4719-b280-8732f5559f32",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Epoch 1/15\n",
      "\u001b[1m1563/1563\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m26s\u001b[0m 16ms/step - accuracy: 0.4816 - loss: 1.4359 - val_accuracy: 0.5955 - val_loss: 1.1409\n",
      "Epoch 2/15\n",
      "\u001b[1m1563/1563\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m30s\u001b[0m 19ms/step - accuracy: 0.6487 - loss: 1.0014 - val_accuracy: 0.6507 - val_loss: 0.9949\n",
      "Epoch 3/15\n",
      "\u001b[1m1563/1563\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m29s\u001b[0m 18ms/step - accuracy: 0.7187 - loss: 0.8050 - val_accuracy: 0.7108 - val_loss: 0.8343\n",
      "Epoch 4/15\n",
      "\u001b[1m1563/1563\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m41s\u001b[0m 18ms/step - accuracy: 0.7578 - loss: 0.6903 - val_accuracy: 0.7342 - val_loss: 0.7812\n",
      "Epoch 5/15\n",
      "\u001b[1m1563/1563\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m39s\u001b[0m 17ms/step - accuracy: 0.7886 - loss: 0.6008 - val_accuracy: 0.7210 - val_loss: 0.8459\n",
      "Epoch 6/15\n",
      "\u001b[1m1563/1563\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m28s\u001b[0m 18ms/step - accuracy: 0.8143 - loss: 0.5283 - val_accuracy: 0.7346 - val_loss: 0.7982\n",
      "Epoch 7/15\n",
      "\u001b[1m1563/1563\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m40s\u001b[0m 17ms/step - accuracy: 0.8394 - loss: 0.4570 - val_accuracy: 0.7359 - val_loss: 0.8227\n",
      "Epoch 8/15\n",
      "\u001b[1m1563/1563\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m30s\u001b[0m 19ms/step - accuracy: 0.8589 - loss: 0.3968 - val_accuracy: 0.7434 - val_loss: 0.8382\n",
      "Epoch 9/15\n",
      "\u001b[1m1563/1563\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m19s\u001b[0m 12ms/step - accuracy: 0.8755 - loss: 0.3429 - val_accuracy: 0.7195 - val_loss: 1.0119\n",
      "Epoch 10/15\n",
      "\u001b[1m1563/1563\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m26s\u001b[0m 15ms/step - accuracy: 0.8926 - loss: 0.3004 - val_accuracy: 0.7377 - val_loss: 0.9704\n",
      "Epoch 11/15\n",
      "\u001b[1m1563/1563\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m28s\u001b[0m 18ms/step - accuracy: 0.9070 - loss: 0.2606 - val_accuracy: 0.7344 - val_loss: 1.0574\n",
      "Epoch 12/15\n",
      "\u001b[1m1563/1563\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m24s\u001b[0m 16ms/step - accuracy: 0.9188 - loss: 0.2275 - val_accuracy: 0.7308 - val_loss: 1.1629\n",
      "Epoch 13/15\n",
      "\u001b[1m1563/1563\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m19s\u001b[0m 12ms/step - accuracy: 0.9264 - loss: 0.2046 - val_accuracy: 0.7183 - val_loss: 1.2680\n",
      "Epoch 14/15\n",
      "\u001b[1m1563/1563\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m26s\u001b[0m 17ms/step - accuracy: 0.9355 - loss: 0.1806 - val_accuracy: 0.7303 - val_loss: 1.3067\n",
      "Epoch 15/15\n",
      "\u001b[1m1563/1563\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m30s\u001b[0m 19ms/step - accuracy: 0.9391 - loss: 0.1685 - val_accuracy: 0.7216 - val_loss: 1.3907\n"
     ]
    }
   ],
   "source": [
    "history_deep = model_deep.fit(\n",
    "    X_train,\n",
    "    y_train,\n",
    "    epochs=15,\n",
    "    validation_data=(X_test, y_test)\n",
    ")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 37,
   "id": "a3ddd74b-f093-4ae9-8454-51c1b2249c2c",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 500x400 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.figure(figsize=(5,4))\n",
    "\n",
    "plt.plot(\n",
    "    history_deep.history['accuracy'],\n",
    "    label='Training Accuracy'\n",
    ")\n",
    "\n",
    "plt.plot(\n",
    "    history_deep.history['val_accuracy'],\n",
    "    label='Validation Accuracy'\n",
    ")\n",
    "\n",
    "plt.title('Deeper CNN Model Accuracy')\n",
    "\n",
    "plt.xlabel('Epoch')\n",
    "plt.ylabel('Accuracy')\n",
    "\n",
    "plt.legend()\n",
    "\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 38,
   "id": "1ce2f0e6-91c8-4888-9951-4428b43c74af",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 500x400 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.figure(figsize=(5,4))\n",
    "\n",
    "plt.plot(\n",
    "    history_deep.history['loss'],\n",
    "    label='Training Loss'\n",
    ")\n",
    "\n",
    "plt.plot(\n",
    "    history_deep.history['val_loss'],\n",
    "    label='Validation Loss'\n",
    ")\n",
    "\n",
    "plt.title('Deeper CNN Model Loss')\n",
    "\n",
    "plt.xlabel('Epoch')\n",
    "plt.ylabel('Loss')\n",
    "\n",
    "plt.legend()\n",
    "\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 39,
   "id": "9a138d55-2199-4fa2-8c85-5995d7c097e4",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\u001b[1m313/313\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m2s\u001b[0m 6ms/step - accuracy: 0.7216 - loss: 1.3907\n",
      "Deeper CNN Test Accuracy: 0.7215999960899353\n",
      "Deeper CNN Test Loss: 1.3906657695770264\n"
     ]
    }
   ],
   "source": [
    "deep_test_loss, deep_test_accuracy = model_deep.evaluate(\n",
    "    X_test,\n",
    "    y_test\n",
    ")\n",
    "\n",
    "print(\"Deeper CNN Test Accuracy:\",\n",
    "      deep_test_accuracy)\n",
    "\n",
    "print(\"Deeper CNN Test Loss:\",\n",
    "      deep_test_loss)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 40,
   "id": "25cd4f60-99b0-4f3c-8f92-0fc9c0c560c7",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\u001b[1m313/313\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m2s\u001b[0m 5ms/step\n",
      "[8.2373737e-07 6.1569743e-08 5.8343750e-07 9.8298472e-01 9.5970787e-10\n",
      " 1.6983949e-02 2.2673748e-05 5.3061143e-08 7.1567038e-06 2.2631315e-09]\n"
     ]
    }
   ],
   "source": [
    "deep_predictions = model_deep.predict(X_test)\n",
    "\n",
    "print(deep_predictions[0])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 41,
   "id": "efe36dd0-73ca-46f1-9706-a40f248d7e8e",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 600x500 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "deep_predicted_classes = np.argmax(\n",
    "    deep_predictions,\n",
    "    axis=1\n",
    ")\n",
    "\n",
    "true_classes = y_test.flatten()\n",
    "\n",
    "cm_deep = confusion_matrix(\n",
    "    true_classes,\n",
    "    deep_predicted_classes\n",
    ")\n",
    "\n",
    "plt.figure(figsize=(6,5))\n",
    "\n",
    "sns.heatmap(\n",
    "    cm_deep,\n",
    "    annot=True,\n",
    "    fmt='d',\n",
    "    cmap='Blues'\n",
    ")\n",
    "\n",
    "plt.xlabel('Predicted Label')\n",
    "plt.ylabel('True Label')\n",
    "\n",
    "plt.title('Deeper CNN Confusion Matrix')\n",
    "\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 42,
   "id": "6cbcb223-2d9b-4ea5-ac3d-86107a994307",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "              precision    recall  f1-score   support\n",
      "\n",
      "    Airplane       0.79      0.72      0.75      1000\n",
      "  Automobile       0.88      0.82      0.85      1000\n",
      "        Bird       0.64      0.57      0.61      1000\n",
      "         Cat       0.52      0.51      0.51      1000\n",
      "        Deer       0.65      0.71      0.68      1000\n",
      "         Dog       0.55      0.72      0.62      1000\n",
      "        Frog       0.81      0.77      0.79      1000\n",
      "       Horse       0.80      0.74      0.77      1000\n",
      "        Ship       0.80      0.85      0.83      1000\n",
      "       Truck       0.86      0.80      0.83      1000\n",
      "\n",
      "    accuracy                           0.72     10000\n",
      "   macro avg       0.73      0.72      0.72     10000\n",
      "weighted avg       0.73      0.72      0.72     10000\n",
      "\n"
     ]
    }
   ],
   "source": [
    "print(\n",
    "    classification_report(\n",
    "        true_classes,\n",
    "        deep_predicted_classes,\n",
    "        target_names=class_names\n",
    "    )\n",
    ")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 43,
   "id": "11b09b4c-2d4c-4f0d-b639-6461cc5bab5a",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 200x200 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.figure(figsize=(2,2))\n",
    "\n",
    "plt.imshow(X_test[0])\n",
    "\n",
    "deep_label = class_names[\n",
    "    deep_predicted_classes[0]\n",
    "]\n",
    "\n",
    "true_label = class_names[\n",
    "    true_classes[0]\n",
    "]\n",
    "\n",
    "plt.title(\n",
    "    f\"Predicted: {deep_label}\\nActual: {true_label}\",\n",
    "    fontsize=8\n",
    ")\n",
    "\n",
    "plt.axis('off')\n",
    "\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "4f2a1a46-9f55-4bb3-8803-6f2d68498bc1",
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python [conda env:base] *",
   "language": "python",
   "name": "conda-base-py"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.13.9"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 5
}