stl-cnn-cifar10-10classes.ipynb

{
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    "tags": []
   },
   "source": [
    "# Single-Task Learning on Cifar10 Dataset (10 Classes): A CNN Approach\n",
    "- **Name**: Minh T. Nguyen & Peter Chen.\n",
    "- **ECE 6524** - Final Project.\n",
    "- **Date**: 4/18/2023.\n",
    "- **Objective**: Build a Single Task CNN model using ResNet152 architecture for 10-classes image classification on Cifar10."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "id": "a04a4cbe",
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   "source": [
    "# import libraries\n",
    "import numpy as np\n",
    "import matplotlib.pyplot as plt\n",
    "\n",
    "# import tensorflow\n",
    "import tensorflow as tf\n",
    "from keras.datasets import cifar10\n",
    "from keras.utils import np_utils, plot_model\n",
    "from keras.layers import Input, Dropout, Flatten, Dense\n",
    "from keras.applications.resnet import ResNet152, preprocess_input\n",
    "from keras import Model, Sequential"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "ae792b28",
   "metadata": {
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     "status": "completed"
    },
    "tags": []
   },
   "source": [
    "# 1. Data Visualization & Preprocessing"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "id": "2db6b439",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2023-04-22T19:41:15.595226Z",
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     "exception": false,
     "start_time": "2023-04-22T19:41:15.582840",
     "status": "completed"
    },
    "tags": []
   },
   "outputs": [],
   "source": [
    "num_classes = 10          # number of classes\n",
    "input_shape = (32, 32, 3) # original input image size"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "id": "92e32a02",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2023-04-22T19:41:15.620576Z",
     "iopub.status.busy": "2023-04-22T19:41:15.619723Z",
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    },
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     "duration": 6.058591,
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     "exception": false,
     "start_time": "2023-04-22T19:41:15.609946",
     "status": "completed"
    },
    "tags": []
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Downloading data from https://www.cs.toronto.edu/~kriz/cifar-10-python.tar.gz\n",
      "170498071/170498071 [==============================] - 3s 0us/step\n"
     ]
    }
   ],
   "source": [
    "# download data from Keras API\n",
    "(X_train, y_train), (X_test, y_test) = cifar10.load_data()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "id": "83f2b5ba",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2023-04-22T19:41:21.695670Z",
     "iopub.status.busy": "2023-04-22T19:41:21.694697Z",
     "iopub.status.idle": "2023-04-22T19:41:21.701116Z",
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     "status": "completed"
    },
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   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "X=(50000, 32, 32, 3), y=(50000, 1)\n",
      "X=(10000, 32, 32, 3), y=(10000, 1)\n"
     ]
    }
   ],
   "source": [
    "# check dataset size\n",
    "print(f\"X={X_train.shape}, y={y_train.shape}\")\n",
    "print(f\"X={X_test.shape}, y={y_test.shape}\")"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "6c011158",
   "metadata": {
    "papermill": {
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     "exception": false,
     "start_time": "2023-04-22T19:41:21.715329",
     "status": "completed"
    },
    "tags": []
   },
   "source": [
    "## 1.1. Data Visualization"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "id": "75131783",
   "metadata": {
    "execution": {
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   },
   "outputs": [
    {
     "data": {
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\n",
      "text/plain": [
       "<Figure size 640x480 with 9 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# plot the 9 images\n",
    "f, axarr = plt.subplots(3,3)\n",
    "axarr[0,0].imshow(X_train[10])\n",
    "axarr[0,1].imshow(X_train[11])\n",
    "axarr[0,2].imshow(X_train[12])\n",
    "axarr[1,0].imshow(X_train[13])\n",
    "axarr[1,1].imshow(X_train[14])\n",
    "axarr[1,2].imshow(X_train[15])\n",
    "axarr[2,0].imshow(X_train[16])\n",
    "axarr[2,1].imshow(X_train[17])\n",
    "axarr[2,2].imshow(X_train[18])\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "8d4080ef",
   "metadata": {
    "papermill": {
     "duration": 0.013023,
     "end_time": "2023-04-22T19:41:22.392641",
     "exception": false,
     "start_time": "2023-04-22T19:41:22.379618",
     "status": "completed"
    },
    "tags": []
   },
   "source": [
    "## 1.2. Data Preprocessing"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "id": "b3958902",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2023-04-22T19:41:22.420147Z",
     "iopub.status.busy": "2023-04-22T19:41:22.419794Z",
     "iopub.status.idle": "2023-04-22T19:41:22.779674Z",
     "shell.execute_reply": "2023-04-22T19:41:22.778595Z"
    },
    "papermill": {
     "duration": 0.376645,
     "end_time": "2023-04-22T19:41:22.782190",
     "exception": false,
     "start_time": "2023-04-22T19:41:22.405545",
     "status": "completed"
    },
    "tags": []
   },
   "outputs": [],
   "source": [
    "# normalize input data\n",
    "X_train = preprocess_input(X_train)\n",
    "X_test = preprocess_input(X_test)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "id": "59a59458",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2023-04-22T19:41:22.811148Z",
     "iopub.status.busy": "2023-04-22T19:41:22.810318Z",
     "iopub.status.idle": "2023-04-22T19:41:22.819526Z",
     "shell.execute_reply": "2023-04-22T19:41:22.818402Z"
    },
    "papermill": {
     "duration": 0.025622,
     "end_time": "2023-04-22T19:41:22.821759",
     "exception": false,
     "start_time": "2023-04-22T19:41:22.796137",
     "status": "completed"
    },
    "tags": []
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "(50000, 10)\n",
      "(10000, 10)\n"
     ]
    }
   ],
   "source": [
    "# convert class into one hot encoder\n",
    "y_train = np_utils.to_categorical(y_train)\n",
    "y_test = np_utils.to_categorical(y_test)\n",
    "\n",
    "print(y_train.shape)\n",
    "print(y_test.shape)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "2bbf0cc9",
   "metadata": {
    "papermill": {
     "duration": 0.012843,
     "end_time": "2023-04-22T19:41:22.847614",
     "exception": false,
     "start_time": "2023-04-22T19:41:22.834771",
     "status": "completed"
    },
    "tags": []
   },
   "source": [
    "# 2. Modeling\n",
    "**Note**: Build a sequential model using ResNet152 architecture"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "id": "af47b1df",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2023-04-22T19:41:22.874997Z",
     "iopub.status.busy": "2023-04-22T19:41:22.874677Z",
     "iopub.status.idle": "2023-04-22T19:41:22.881540Z",
     "shell.execute_reply": "2023-04-22T19:41:22.880489Z"
    },
    "papermill": {
     "duration": 0.023153,
     "end_time": "2023-04-22T19:41:22.883724",
     "exception": false,
     "start_time": "2023-04-22T19:41:22.860571",
     "status": "completed"
    },
    "tags": []
   },
   "outputs": [],
   "source": [
    "# Define ResNet152 CNN model\n",
    "def create_model(dropout):\n",
    "    input_shape = (32, 32, 3)\n",
    "    \n",
    "    resnet152_base = ResNet152(weights=None, include_top=False, input_shape=input_shape)\n",
    "    \n",
    "    model = Sequential()\n",
    "    \n",
    "    model.add(resnet152_base)\n",
    "    model.add(Flatten())\n",
    "    model.add(Dense(2048, activation='relu'))\n",
    "    model.add(Dense(1024, activation='relu'))\n",
    "    model.add(Dropout(dropout))\n",
    "    model.add(Dense(512, activation='relu'))\n",
    "    model.add(Dense(256, activation='relu'))\n",
    "    model.add(Dense(128, activation='relu'))\n",
    "    model.add(Dense(10, activation='softmax'))\n",
    "    \n",
    "    return model"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "id": "4a4348ae",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2023-04-22T19:41:22.911221Z",
     "iopub.status.busy": "2023-04-22T19:41:22.910327Z",
     "iopub.status.idle": "2023-04-22T19:41:30.946537Z",
     "shell.execute_reply": "2023-04-22T19:41:30.945306Z"
    },
    "papermill": {
     "duration": 8.052701,
     "end_time": "2023-04-22T19:41:30.949193",
     "exception": false,
     "start_time": "2023-04-22T19:41:22.896492",
     "status": "completed"
    },
    "tags": []
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Model: \"sequential\"\n",
      "_________________________________________________________________\n",
      " Layer (type)                Output Shape              Param #   \n",
      "=================================================================\n",
      " resnet152 (Functional)      (None, 1, 1, 2048)        58370944  \n",
      "                                                                 \n",
      " flatten (Flatten)           (None, 2048)              0         \n",
      "                                                                 \n",
      " dense (Dense)               (None, 2048)              4196352   \n",
      "                                                                 \n",
      " dense_1 (Dense)             (None, 1024)              2098176   \n",
      "                                                                 \n",
      " dropout (Dropout)           (None, 1024)              0         \n",
      "                                                                 \n",
      " dense_2 (Dense)             (None, 512)               524800    \n",
      "                                                                 \n",
      " dense_3 (Dense)             (None, 256)               131328    \n",
      "                                                                 \n",
      " dense_4 (Dense)             (None, 128)               32896     \n",
      "                                                                 \n",
      " dense_5 (Dense)             (None, 10)                1290      \n",
      "                                                                 \n",
      "=================================================================\n",
      "Total params: 65,355,786\n",
      "Trainable params: 65,204,362\n",
      "Non-trainable params: 151,424\n",
      "_________________________________________________________________\n",
      "None\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<IPython.core.display.Image object>"
      ]
     },
     "execution_count": 9,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# display and plot model\n",
    "model = create_model(0)\n",
    "print(model.summary())\n",
    "plot_model(model, to_file='model_plot.png', show_shapes=True, show_layer_names=True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "id": "36897fcf",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2023-04-22T19:41:30.983141Z",
     "iopub.status.busy": "2023-04-22T19:41:30.982743Z",
     "iopub.status.idle": "2023-04-22T19:41:30.988059Z",
     "shell.execute_reply": "2023-04-22T19:41:30.986949Z"
    },
    "papermill": {
     "duration": 0.025406,
     "end_time": "2023-04-22T19:41:30.990821",
     "exception": false,
     "start_time": "2023-04-22T19:41:30.965415",
     "status": "completed"
    },
    "tags": []
   },
   "outputs": [],
   "source": [
    "# define number of epochs\n",
    "epochs = 20"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "6d643300",
   "metadata": {
    "papermill": {
     "duration": 0.015343,
     "end_time": "2023-04-22T19:41:31.021743",
     "exception": false,
     "start_time": "2023-04-22T19:41:31.006400",
     "status": "completed"
    },
    "tags": []
   },
   "source": [
    "# 2.1 Model 1 (Batch Size = 128, Dropout = 0, Optimizer = Adam)\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "id": "112b523a",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2023-04-22T19:41:31.055361Z",
     "iopub.status.busy": "2023-04-22T19:41:31.054964Z",
     "iopub.status.idle": "2023-04-22T19:41:36.023032Z",
     "shell.execute_reply": "2023-04-22T19:41:36.021982Z"
    },
    "papermill": {
     "duration": 4.987866,
     "end_time": "2023-04-22T19:41:36.025605",
     "exception": false,
     "start_time": "2023-04-22T19:41:31.037739",
     "status": "completed"
    },
    "tags": []
   },
   "outputs": [],
   "source": [
    "# define parameters and generate model\n",
    "batch_size = 128\n",
    "dropout = 0\n",
    "optimizer = 'Adam'\n",
    "\n",
    "model_1 = create_model(dropout)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "id": "3db4ddb7",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2023-04-22T19:41:36.060460Z",
     "iopub.status.busy": "2023-04-22T19:41:36.059926Z",
     "iopub.status.idle": "2023-04-22T19:41:36.099346Z",
     "shell.execute_reply": "2023-04-22T19:41:36.098362Z"
    },
    "papermill": {
     "duration": 0.059561,
     "end_time": "2023-04-22T19:41:36.101589",
     "exception": false,
     "start_time": "2023-04-22T19:41:36.042028",
     "status": "completed"
    },
    "tags": []
   },
   "outputs": [],
   "source": [
    "# compile model\n",
    "model_1.compile(loss='categorical_crossentropy', optimizer=optimizer, metrics=['accuracy'])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "id": "f349fbb4",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2023-04-22T19:41:36.134454Z",
     "iopub.status.busy": "2023-04-22T19:41:36.133967Z",
     "iopub.status.idle": "2023-04-22T19:58:52.034301Z",
     "shell.execute_reply": "2023-04-22T19:58:52.033131Z"
    },
    "papermill": {
     "duration": 1035.919445,
     "end_time": "2023-04-22T19:58:52.036881",
     "exception": false,
     "start_time": "2023-04-22T19:41:36.117436",
     "status": "completed"
    },
    "tags": []
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Epoch 1/20\n",
      "333/333 [==============================] - 161s 154ms/step - loss: 2.1273 - accuracy: 0.1800 - val_loss: 2.1069 - val_accuracy: 0.1795\n",
      "Epoch 2/20\n",
      "333/333 [==============================] - 46s 137ms/step - loss: 1.7950 - accuracy: 0.2917 - val_loss: 2.2018 - val_accuracy: 0.2380\n",
      "Epoch 3/20\n",
      "333/333 [==============================] - 46s 137ms/step - loss: 1.6487 - accuracy: 0.3606 - val_loss: 2.0311 - val_accuracy: 0.3341\n",
      "Epoch 4/20\n",
      "333/333 [==============================] - 46s 138ms/step - loss: 1.6148 - accuracy: 0.3811 - val_loss: 1.6635 - val_accuracy: 0.3748\n",
      "Epoch 5/20\n",
      "333/333 [==============================] - 46s 138ms/step - loss: 1.4124 - accuracy: 0.4738 - val_loss: 1.4753 - val_accuracy: 0.4708\n",
      "Epoch 6/20\n",
      "333/333 [==============================] - 46s 138ms/step - loss: 1.2706 - accuracy: 0.5388 - val_loss: 1.4362 - val_accuracy: 0.5115\n",
      "Epoch 7/20\n",
      "333/333 [==============================] - 46s 137ms/step - loss: 1.2372 - accuracy: 0.5572 - val_loss: 1.9261 - val_accuracy: 0.4179\n",
      "Epoch 8/20\n",
      "333/333 [==============================] - 46s 138ms/step - loss: 1.1250 - accuracy: 0.6020 - val_loss: 1.8402 - val_accuracy: 0.4492\n",
      "Epoch 9/20\n",
      "333/333 [==============================] - 46s 138ms/step - loss: 1.0218 - accuracy: 0.6446 - val_loss: 1.4350 - val_accuracy: 0.5444\n",
      "Epoch 10/20\n",
      "333/333 [==============================] - 46s 139ms/step - loss: 0.9802 - accuracy: 0.6602 - val_loss: 1.4790 - val_accuracy: 0.5585\n",
      "Epoch 11/20\n",
      "333/333 [==============================] - 46s 138ms/step - loss: 0.8898 - accuracy: 0.6970 - val_loss: 1.2055 - val_accuracy: 0.6161\n",
      "Epoch 12/20\n",
      "333/333 [==============================] - 46s 138ms/step - loss: 0.8595 - accuracy: 0.7090 - val_loss: 1.2552 - val_accuracy: 0.6037\n",
      "Epoch 13/20\n",
      "333/333 [==============================] - 46s 138ms/step - loss: 0.7329 - accuracy: 0.7524 - val_loss: 1.2669 - val_accuracy: 0.6225\n",
      "Epoch 14/20\n",
      "333/333 [==============================] - 46s 139ms/step - loss: 0.7053 - accuracy: 0.7622 - val_loss: 1.0285 - val_accuracy: 0.6744\n",
      "Epoch 15/20\n",
      "333/333 [==============================] - 46s 137ms/step - loss: 0.7200 - accuracy: 0.7574 - val_loss: 0.9907 - val_accuracy: 0.6968\n",
      "Epoch 16/20\n",
      "333/333 [==============================] - 46s 138ms/step - loss: 0.6085 - accuracy: 0.7992 - val_loss: 1.0137 - val_accuracy: 0.6863\n",
      "Epoch 17/20\n",
      "333/333 [==============================] - 46s 138ms/step - loss: 0.9612 - accuracy: 0.6678 - val_loss: 1.1984 - val_accuracy: 0.5759\n",
      "Epoch 18/20\n",
      "333/333 [==============================] - 46s 137ms/step - loss: 0.7865 - accuracy: 0.7339 - val_loss: 1.2555 - val_accuracy: 0.5993\n",
      "Epoch 19/20\n",
      "333/333 [==============================] - 46s 139ms/step - loss: 1.3034 - accuracy: 0.5349 - val_loss: 1.3732 - val_accuracy: 0.5824\n",
      "Epoch 20/20\n",
      "333/333 [==============================] - 46s 137ms/step - loss: 1.0299 - accuracy: 0.6444 - val_loss: 0.9799 - val_accuracy: 0.6592\n"
     ]
    }
   ],
   "source": [
    "# train model\n",
    "history_1 = model_1.fit(X_train, y_train, validation_split=0.15, \n",
    "            batch_size=batch_size, epochs=epochs, verbose=1)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "id": "d1798e50",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2023-04-22T19:58:52.771943Z",
     "iopub.status.busy": "2023-04-22T19:58:52.771560Z",
     "iopub.status.idle": "2023-04-22T19:59:13.653552Z",
     "shell.execute_reply": "2023-04-22T19:59:13.652127Z"
    },
    "papermill": {
     "duration": 21.253242,
     "end_time": "2023-04-22T19:59:13.655931",
     "exception": false,
     "start_time": "2023-04-22T19:58:52.402689",
     "status": "completed"
    },
    "tags": []
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Train Loss: 1.0299460887908936\n",
      "Train Acc: 0.6444470882415771\n",
      "\n",
      "Test Loss: 1.0018373727798462\n",
      "Test Acc: 0.6636999845504761\n"
     ]
    }
   ],
   "source": [
    "# train model results\n",
    "print('Train Loss:', history_1.history['loss'][-1])\n",
    "print('Train Acc:', history_1.history['accuracy'][-1])\n",
    "\n",
    "\n",
    "# validation results\n",
    "val_loss, val_acc = model_1.evaluate(X_test, y_test, verbose=0)\n",
    "\n",
    "print('\\nTest Loss:', val_loss)\n",
    "print('Test Acc:', val_acc)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "id": "6b354c9d",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2023-04-22T19:59:14.471931Z",
     "iopub.status.busy": "2023-04-22T19:59:14.470742Z",
     "iopub.status.idle": "2023-04-22T19:59:14.947294Z",
     "shell.execute_reply": "2023-04-22T19:59:14.946210Z"
    },
    "papermill": {
     "duration": 0.912259,
     "end_time": "2023-04-22T19:59:14.949604",
     "exception": false,
     "start_time": "2023-04-22T19:59:14.037345",
     "status": "completed"
    },
    "tags": []
   },
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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OvaPNv4n21pZ6u5ajo2OJ7z/99FM+//xzZs2aRatWrXB0dGTq1Knk5OSUeZ2bByLrdDoKCgoqFZOiKLd0IxV1xel0OiwtLVm/fj07d+5k3bp1fPXVV7z22mvs3r2boKAgFixYwJQpU1izZg1Lly7l9ddfZ/369YSGhlYqnjvRtOVm0qRJLFq0iF9++QUnJyfi4uKIi4sjMzOz+Jjp06czZsyY4u+XLFnCmDFj+PTTTwkNDS0+p2gwssk78BP8fI+a2NRtD0/+dz2xAfDvCKFqMyN/T4UsM3luIYSoIp1Oh4ONlSabIcePbNu2jbvvvptHHnmE4OBg6tevz+nTpw12v9I0b96cnTt3lhhbtHPnTpycnKhbty6g/vfv2rUrb7/9NuHh4djY2LB8+fLi40NCQpg+fTo7d+6kZcuW/PLLLwaLV9PkZu7cuSQnJ9OrVy98fHyKt6VLlxYfExsbW6Lp7dtvvyUvL49JkyaVOOfZZ018FlFBvjpoeOUzUJAHLUbCuH/AyevWY/u8Dm71IfWSeo4QQgiz1bBhw+JWkePHj/P0008TFxdnkHslJycTERFRYouOjmbixInExMTwzDPPcOLECf766y/efPNNpk2bhoWFBbt37+aDDz5g3759REdHs2zZMq5cuUKzZs2IjIxk+vTp7Nq1i6ioKNatW8epU6cMOu5G826pO1m4cGGJ7zdv3myYYLSUnQbLnoKTq9Xve74CvV6B2/0lYOMAd82GhUPUlp4W90CDPtUXrxBCiGrzxhtvEBkZycCBA3FwcGD8+PGMGDHCID0WmzdvvqVm3NixY1m4cCGrV6/mxRdfJDg4GDc3N5544glef139A9vZ2ZmtW7cya9YsUlJSCAwM5NNPP2Xw4MFcvnyZEydO8OOPP5KYmIiPjw+TJ0/m6aef1nv8RXSKPuevmYCUlBRcXFxITk42jsHFyRdhyYMQdxgsbdUxNa3vL9+5q1+EPd+p43Im7gJbJ8PGKoQQRiIrK4vIyEiCgoKws5PipuairM+1Ir+/jWK2VI118QB830dNbBw91G6o8iY2AH3fBNcASI6BDW8ZLEwhhBDClEhyo5WjK2DBEEiLA8/m6sBh/44Vu4ZtLbjrK3V/7w8QuU3vYQohhBCmRpKb6qYosPUT+H0s5GVCw/7w+FqoHVi569XvBe3GqfsrJ0PO7RcdFUIIIWoCSW6qU142LJ8AGwtXbu00Qa1hY1fFsT/93wXnunD1PPxXtVVhhRBCCFMnyU11SU+An+6GQ7+CzhKGfgqDPwJLPUxYs3OG4V+q+7u/geiwql9TCCGEMFGS3FSH+BPqwOHoXWDrDKN/hw5P6vcejfpBm9GAAn9NgtzMO54ihBBCmCNJbvQkKzefNUfimL89suQbZ/6Def3hWhTUrgdPrIeGfQ0TxMD3oZY3JJ6BTR8Y5h5CCCGEkZPkRk9OX05jwqL9fLz2BOnZeeqLe3+AxfdDdgoEdIYnN4JnxVdjLTf72jB8lrq/azZc2Ge4ewkhhBBGSpIbPWlZ15lAdweycgvYeOwSrH4JVj0PSj4Ej4Ixf4Gju+EDaTIYWj0ASoHaPZWXbfh7CiGEEEZEkhs90el0DGvtQy0yqLf+CdjzrfpG3xkwYi5Y2VZfMIM/UosCXjkBWz6uvvsKIYQQRkCSGz0aUS+fP23eolXGHhQre3jgJ+j+/O3XiDIUBzd1NhbA9s/hUkT13l8IIUSpdDpdmdu4ceMqfe169eoxa9YsvR1nyjRdONOsXIqg4V/3orNI4LLiyrEu39K7+SDt4ml+NzQfAcdWqN1TT20CKxvt4hFCCEFsbGzx/tKlS5kxYwYnT54sfs3e3l6LsMyOtNzoi3NddDYOxDs25u7sd1kcUw3ja+5kyCdg7waXj6gtOEIIITTl7e1dvLm4uKDT6Uq8tnXrVtq1a4ednR3169fn7bffJi8vr/j8t956i4CAAGxtbfH19WXKlCkA9OrVi6ioKJ577rniVqDKmjt3Lg0aNMDGxoYmTZrw888/l3j/djEAzJkzh0aNGmFnZ4eXlxf33XdfpeOoCmm50ZdaHjDmL5IzHIibvZ/EU1dIzszFxd5a25iG/A/+fAK2/g+aDQOvFtrFI4QQhqQokJuhzb2tHao8BGHt2rU88sgjfPnll3Tv3p2zZ88yfvx4AN58803++OMPPv/8c3799VdatGhBXFwcBw8eBGDZsmUEBwczfvx4nnrqqUrHsHz5cp599llmzZpFv379+Oeff3jsscfw8/Ojd+/eZcawb98+pkyZws8//0yXLl1ISkpi2zZt1jyU5Eaf3OrTyA0ae9Xi1OU01h2N4/72/trG1PJeOLIMTq6CFRPVBTr1URVZCCGMTW4GfOCrzb1fvQQ2jlW6xPvvv88rr7zC2LFjAahfvz7vvvsuL730Em+++SbR0dF4e3vTr18/rK2tCQgIoGNHdcFlNzc3LC0tcXJywtvbu9IxfPLJJ4wbN46JEycCMG3aNMLCwvjkk0/o3bt3mTFER0fj6OjIsGHDcHJyIjAwkJCQkCr9N6ks6ZYygGGt1R+uVYdj73BkNdDpYNhnYOcKsRGw8wutIxJCCFGK/fv3884771CrVq3i7amnniI2NpaMjAzuv/9+MjMzqV+/Pk899RTLly8v0WWlD8ePH6dr164lXuvatSvHjx8HKDOG/v37ExgYSP369Xn00UdZvHgxGRnatKTJn/AGMLS1D5+tP8X20wlcTc+htqPGA3mdvGHQh7BiAmz+EJoOA48m2sYkhBD6Zu2gtqBode8qKigo4O2332bkyJG3vGdnZ4e/vz8nT55k/fr1bNiwgYkTJ/K///2PLVu2YG2tvyEQN4/XURSl+LWyYnBycuLAgQNs3ryZdevWMWPGDN566y327t2Lq6ur3uIrD2m5MYAGHrVo5uNMXoHC2qNxWoejCn4IGvaH/Bx19lRBvtYRCSGEful0ateQFpseSn60bduWkydP0rBhw1s2Cwv117W9vT133XUXX375JZs3b2bXrl0cPnwYABsbG/Lzq/Zve7Nmzdi+fXuJ13bu3EmzZs2Kvy8rBisrK/r168fHH3/MoUOHOH/+PBs3bqxSTJUhLTcGMqy1D8djU/jnUCwPdQzQOhz1B2/4FzAnFC7shbA50OUZraMSQghRaMaMGQwbNgx/f3/uv/9+LCwsOHToEIcPH+a9995j4cKF5Ofn06lTJxwcHPj555+xt7cnMDAQUOvXbN26lYceeghbW1vq1Klz23tdvHiRiIiIEq8FBATw4osv8sADD9C2bVv69u3L33//zbJly9iwYQNAmTH8888/nDt3jh49elC7dm1Wr15NQUEBTZpo0FOg1DDJyckKoCQnJxv0PucT0pTAl/9Rgl75R0lIzTLovSpk30JFedNZUd71VJQrp7WORgghKiUzM1M5duyYkpmZqXUolbZgwQLFxcWlxGtr1qxRunTpotjb2yvOzs5Kx44dle+++05RFEVZvny50qlTJ8XZ2VlxdHRUQkNDlQ0bNhSfu2vXLqV169aKra2tUtav98DAQAW4ZVuwYIGiKIoyZ84cpX79+oq1tbXSuHFj5aeffio+t6wYtm3bpvTs2VOpXbu2Ym9vr7Ru3VpZunRphf6blPW5VuT3t05RFKX6UyrtpKSk4OLiQnJyMs7Ozga91/CvtnP4YjLvjWjJI6GBBr1XuSkK/HwPnNukLuY5bjVYSO+kEMK0ZGVlERkZSVBQEHZ2dlqHI/SkrM+1Ir+/5beaAQ1r7QPAP4c0GuBWGp0O7voSbGpB9C7Y+73WEQkhhBB6JcmNAQ0tTG52RyYRn5qlcTQ3cA2Afm+p+xvegqRILaMRQggh9EqSGwPyq+1AG39XFAX+PWwks6aKtH8C6nVXi16tfAYKCrSOSAghhNALSW4MzCi7pkAdZ3PXl2pthvPb4MBCrSMSQggh9EKSGwMr6prae/4qcclG1DUF4FYf+s5Q99fNgGsx2sYjhBAVVMPmxJg9fX2ektwYmI+LPe0DawNGshzDzTqOB/9OkJMKf09RZ1MJIYSRK6rIq1V5f2EYOTk5AFhaWlbpOlLErxoMa+3Dvqir/HPoEk90C9I6nJIsLOHur+GbbnB2IxxbAS3u0ToqIYQok6WlJa6ursTHxwPg4OBwy7IBwrQUFBRw5coVHBwcsLKqWnoiyU01GNLKh7f/OUZ49DUuXM3Ar3bV1yDRqzqNIPT/YPvncPgPSW6EECahaPXrogRHmD4LCwsCAgKqnKhKclMNPJ3t6BTkRti5JFYfjmV8jwZah3Sr5iPU5ObsRsjNAmspiiWEMG46nQ4fHx88PT3Jzc3VOhyhBzY2NsXraFWFpsnNzJkzWbZsGSdOnMDe3p4uXbrw0Ucf3XEdii1btjBt2jSOHj2Kr68vL730EhMmTKimqCtnaGtfws4l8c8hI01ufILBuS6kXITILdB4oNYRCSFEuVhaWlZ5jIYwL5oOKN6yZQuTJk0iLCyM9evXk5eXx4ABA0hPT7/tOZGRkQwZMoTu3bsTHh7Oq6++ypQpU/jzzz+rMfKKG9zSGwsdHLqQTFTi7Z9PMzodNBms7p9crW0sQgghRBUY1dpSV65cwdPTky1bttCjR49Sj3n55ZdZuXIlx48fL35twoQJHDx4kF27dt3xHtW5ttTNHvlhN9vPJPDSoCZM7NWwWu9dLmc2wKJ7oZY3TDsua04JIYQwGia7tlRycjIAbm5utz1m165dDBgwoMRrAwcOZN++faX2uWZnZ5OSklJi00pRzZt/DhrhlHBQKxbbOEFaHFwK1zoaIYQQolKMJrlRFIVp06bRrVs3WrZsedvj4uLi8PLyKvGal5cXeXl5JCQk3HL8zJkzcXFxKd78/f31Hnt5DWrhjZWFjmOxKZy7kqZZHLdlZQsN+6r70jUlhBDCRBlNcjN58mQOHTrEkiVL7njszVPEinrWSps6Nn36dJKTk4u3mBjtqvDWdrSha8M6AKw6ZKStN02GqF9P/qttHEIIIUQlGUVy88wzz7By5Uo2bdqEn59fmcd6e3sTF1dyEcr4+HisrKxwd3e/5XhbW1ucnZ1LbFoq7poy1uSmUX/QWUL8Ubh6XutohBBCiArTNLlRFIXJkyezbNkyNm7cSFDQnav3du7cmfXr15d4bd26dbRv3764HLcxG9jcG2tLHScvp3L6cqrW4dzKwQ0Cu6j70nojhBDCBGma3EyaNIlFixbxyy+/4OTkRFxcHHFxcWRmZhYfM336dMaMGVP8/YQJE4iKimLatGkcP36c+fPnM2/ePF544QUtHqHCXBys6dHIA4C/jbX1RqaECyGEMGGaJjdz584lOTmZXr164ePjU7wtXbq0+JjY2Fiio6OLvw8KCmL16tVs3ryZNm3a8O677/Lll19y7733avEIlTIsWO2aWnXoknGuaFuU3JzfAZlXtY1FCCGEqCBNKxSX5xf7woULb3mtZ8+eHDhwwAARVY9+zbywsbLg7JV0TsSl0sxH23FAt3CrDx7N4MpxOL0BWt+vdURCCCFEuRnFgOKaxsnOml6N1a6pfw5d0jia25CuKSGEECZKkhuNDAv2BdQp4UbZNdV0qPr1zAbIy9E2FiGEEKICJLnRSN+mnthZW3A+MYOjl7Srmnxbvm3B0ROyUyBqu9bRCCGEEOUmyY1GHG2t6NPUE4C/jbFrysICmgxS909I15QQQgjTIcmNhoa1NvKuqSaFXVMn/wVjjE8IIYQohSQ3GurdxBMHG0suXM3k4IVkrcO5Vf2eYGUPKRcg7rDW0QghhBDlIsmNhuxtLOnbTF0E9J+DRtg1ZW0PDfqo+zJrSgghhImQ5EZjwwrXmlp1OJaCAiPs+mlatJCmJDdCCCFMgyQ3GuvZ2INatlbEJmcRHmOE1YAbDQR0EHsQki9qHY152vM9fN4KDv2udSRCCGEWJLnRmJ21Jf2bq11Tfx80wrWmanmAfyd1X1pvDGPvD5AcDcuehH+eg9wsrSMSQgiTJsmNESjqmlp9OJZ8Y+yaKq5WLKuE611GElw5UfiNDvbNh/kD4Op5LaMSQgiTJsmNEejeyAMnOyviU7PZdz5J63Bu1aRw3E3kVsgywoKDpuzCPvWrWwMY/QfYu6ldgN/2kPpCQghRSZLcGAEbKwsGtvAG4J9DRtg15dEY3BtCQS6c/U/raMxLTJj6NSAUGvWDCdvArwNkJcOvo2D9DMjP0zZGIYQwMZLcGImirql/j8SSl1+gcTSlkK4pw4jerX4tGtfk4gfjVkPoRPX7HV/Aj8MhxQiTXiGEMFKS3BiJrg3r4OpgTUJaDnsijbhr6tRaaUnQl/xcuLhf3Q8Ivf66lQ0Mmgn3/wg2ThC9E77tDue2aBOnEEKYGElujIS1pQWDCrum/jbGrin/Tup4kKxrEL1L62jMQ+whyMsE+9rg3ujW91uMgKe3gFdLSL8CP4+ALf+DAiNs2RNCCCMiyY0RKVpras2RWHKNrWvKwhIaFy6kKV1T+hFT2CXl11FdqLQ07g3gyQ0Q8ggoBbDpPfjlAXWWlRBCiFJJcmNEQuu74e5ow9WMXHaeTdQ6nFsVj7tZJQtp6kPxYOJOZR9nbQ93f61uVnZwZj180x1i9ho+RiGEMEGS3BgRK0sLBrdSu6ZWHTLCtaYa9AFLW7UGS3FtFlEpinLDYOLQso8tEvIIPPmfOm085QIsGAxh30iiKYQQN5HkxsgMbVXUNRVHTp6RdU3Z1lJXCgepVlxV16IgLQ4srKFu2/Kf590Sxm+G5nerU/PXvAy/j5P6Q0IIcQNJboxMxyA3PJxsScnKY/uZK1qHc6uiWVNSYK5qilptfILVbqeKsHNWZ1IN+khNjo6tgO96QdwRfUcphBAmSZIbI2NpoWNoK7XmjVEW9CsaVHxxH6Re1jYWUxZzU32bitLpIHQCPPYvOPtB0ln4oS+EL9ZfjEIIYaIkuTFCQwsL+q0/epms3HyNo7mJsw/4FnajnFqjbSymrCi5udNg4jvx7wBPb4WG/SAvC/6aCH9NgtzMqscohBAmSpIbI9QuoDbeznakZuex9ZQRdk01LeyaknE3lZOVDJePqvvlHUxcFkd3ePh36PM66CwgfBH80A8Sz1b92kIIYYIkuTFCFha64tabVYeNsGuqaNzNuc2Qk65pKCbpwl5Agdr1wMlLP9e0sIAeL8KjK8DRAy4fgW97wrG/9HN9IYQwIZLcGKmi5GbDMSPsmvJsDq4BajfIuc1aR2N6KjoFvCLq94Snt0FAF8hJhd/GwL+vQF6O/u8lhBBGSpIbIxXi70pdV3vSc/LZdCJe63BK0umgyVB1X2ZNVVxR8T7/joa5vrMPjP0buj6rfr97LiwaKWuCCSFqDElujJROpyteKdwoZ00VVSs+tQYKjKxlyZjl58GFUhbL1DdLK+j/Djy0BKwd4fy264OYhRDCzElyY8SKuqb+O3GZjBwj+6s7sAvYuUBGAlzYp3U0puPyEchNB1sX8Ghm+Ps1HXI9ET37n+HvJ4QQRkCSGyPWqq4LAW4OZOUW8N9xI+uasrSGRgPU/ZOrtI3FlBTXt+lw+8Uy9a1hP/XrGUluhBA1gyQ3Rqxk15QRrjVVvJCmrBJebtFF420M2CV1swZ91K+xByE9ofruK4QQGtE0udm6dSvDhw/H19cXnU7HihUr7njO4sWLCQ4OxsHBAR8fHx577DESE41wBW09GdZaXWtq08krpGUbWddUw35q+f+EU5BwRutoTENxy42BBhOXxskLvFoBCpzdVH33FUIIjWia3KSnpxMcHMzs2bPLdfz27dsZM2YMTzzxBEePHuX3339n7969PPnkkwaOVDvNfJyoX8eRnLwCNhwzsuUO7FygXjd1Xwr63VnyBUi5CDpL8GtfvfduWNh6I+NuhBA1gKbJzeDBg3nvvfcYOXJkuY4PCwujXr16TJkyhaCgILp168bTTz/Nvn3mO6DV+LumiqoVS9fUHRV1SXm3AhvH6r13g77q1zP/QYGRrTYvhBB6ZlJjbrp06cKFCxdYvXo1iqJw+fJl/vjjD4YOHap1aAY1LFjtmtpy6grJmbkaR3OTonE3MWGQbr7dg3pRvJ5UNY63KRIQCtYOkB6vztgSQggzZnLJzeLFi3nwwQexsbHB29sbV1dXvvrqq9uek52dTUpKSonN1DT2cqKRZy1y8xXWG1vXlKu/2hKhFMDptVpHY9yKBxNXcbHMyrCyhXrd1X3pmhJCmDmTSm6OHTvGlClTmDFjBvv372fNmjVERkYyYcKE254zc+ZMXFxcijd/f/9qjFh/igYW/7DtnPEtx9BEFtK8o+zU6y0mWiQ3AA1v6JoSQggzZlLJzcyZM+natSsvvvgirVu3ZuDAgcyZM4f58+cTG1t6Fd/p06eTnJxcvMXExFRz1PoxqqM/bo42nIhL5a2VR7UOp6Si5ObMRsjN0jYWY3Vxv9q65eIPLnW1iaFo3E10GGSnaRODEEJUA5NKbjIyMrC4qfCZpaUlAIqilHqOra0tzs7OJTZT5OlsxxcPtUGng1/3xvD7PiNK0nyCwbmuWnk3cqvW0Rin4sUyNWq1AXBvoC54WpAL57drF4cQQhiYpslNWloaERERREREABAZGUlERATR0dGA2uoyZsyY4uOHDx/OsmXLmDt3LufOnWPHjh1MmTKFjh074uvrq8UjVKvujTx4rl9jAF5fcYRjl4xk/JBOd0NBP+maKlXRYplaDCYuotNdr1Ys426EEGZM0+Rm3759hISEEBISAsC0adMICQlhxowZAMTGxhYnOgDjxo3js88+Y/bs2bRs2ZL777+fJk2asGzZMk3i18Lk3g3p2diD7LwCJi7eT0qWkcyeurFasUw1LqkgH2L2qvtattxAySnhQghhpnTK7fpzzFRKSgouLi4kJyebbBfV1fQchn21nYvXMhnUwpu5j7RFp9NpG1ReNnzcAHJS4amNULedtvEYk7jD8E03sKkFr0SDhaV2sWSlwMdBUJAHzx6E2vW0i0UIISqgIr+/TWrMjVDVdrTh69FtsbbUseZoHD9si9Q6JHWqcdFsHCnoV1LRFHC/9tomNgB2zuBXuPSDtN4IIcyUJDcmqo2/KzOGNQfgwzUn2BOZpHFEXJ81dULG3ZQQs0f9Wp2LZZaleCmGjdrGIYQQBiLJjQl7JDSQu9v4kl+gMPmXA8SnajwNu1F/dd2k+KNw9by2sRiT4sHEGo+3KVI07ubcFsg3kjFbQgihR5LcmDCdTscH97SikWct4lOzeXZJBHn5Gg7mdXCDwC7qvnRNqVJi4Vo06CzAr4PW0ah82oCDuzo+qqhVSQghzIgkNybO0daKuY+0xcHGkl3nEvls/SltA5Ip4SUVtdp4tQBbJ21jKWJhAfV7q/syJVwIYYYkuTEDDT2d+Oje1gDM2XyWDVquP1WU3JzfAZlXtYvDWBhD8b7SyFIMQggzJsmNmRge7Mu4LvUAmPZbBNGJGdoE4lYfPJqBkg+nN2gTgzEpWgncWAYTF2lQOKg49iCkJ2gbixBC6JkkN2bk1SHNCAlwJSUrj4m/7NdugU3pmlLlZEDcIXXfWAYTF3HyBq9WgAJnN2kdjRBC6JUkN2bExsqCrx9ui5ujDUcupvD23xotsNl0qPr1zAbIy9EmBmNwcb9aLM/JV10w09gUTwmXrikhhHmR5MbM+LraM+tBdYHNJXti+GP/BQ2CaAuOnpCdAlE1eIHGG6eAa11BujRFU8LPboSaVahcCGHmJLkxQz0ae/Bs30YAvL7iMCfiqnmBTQsLaDJI3a/JU8KNdTBxkYBQsHaAtMtw+YjW0QghhN5IcmOmpvRpRI/GHmTlFvB/iw5U/wKbTQq7pk7+WzNbBQoK4EJRZWIjTW6sbKFed3VfZk0JIcyIJDdmysJCx6wH2+DrYkdkQjov/X6Ial0jtX5PsLKH5Bh14ciaJuEkZCWrLSPerbSO5vaKp4TLzDYhhPmQ5MaMuTnaMOeRdsULbM7bXo0LbFrbX59uXBO7pooWy6zbDiyttY2lLEXjbqLDIDtN21iEEEJPJLkxc238XXmjcIHNmf+eYO/5alxgs2nhQpo1cUp4UX2bACOrb3Mz9wbgGgAFuXC+Bg/+FkKYFUluaoBHQwO5K1hdYHPS4gNcSc2unhs3GgjoIDYCki9Wzz2NRVHLjbGOtymi090wa0rG3QghzIMkNzWATqdj5shWNCxcYHPKknDyC6ph/E0tj+u/3E/VoK6ptHi4GgnojGexzLLIUgxCCDMjyU0N4WhrxTclFtg8WT03LqpWfKIGdU0VdUl5NgN7V01DKZegHqCzhKSzcPW81tEIIUSVSXJTgzT0dOLDwgU2v950lv+OV8MCm00Kx91EboWsaq63oxVT6ZIqYudyPVZpvRFCmAFJbmqYu4J9Gds5EIDnlkYQk2TgBTY9GoN7Q3XA6tmNhr2XsTCVwcQ3Kl6KoYZ8RkIIsybJTQ302tDmtPFXF9j8v8XVsMBmTVpIMzcTLkWo+/4dNQ2lQooGFZ/bAvnVXPBRCCH0TJKbGsjGyoKvR7eltoN14QKbxwx7w6KuqVNrIT/PsPfS2qVwtZXK0RNqB2kdTfn5tAEHd8hJhQt7tY5GCCGqRJKbGqquqz2zHgopXGAzmj8NucCmfydwqANZ1yBiseHuYwyKu6SMdLHM27GwgPq91X2pViyEMHGS3NRgPRt7MKWPusDma4ZcYNPCErpPU/c3vAUZ1VhIsLoVL5ZpQuNtisiUcCGEmZDkpoab0rcR3RvVKV5g88jFZMOsQdVxPHg0g8wk2Pie/q9vDBTFNAcTFylaLiP2IKQnaBuLEEJUgSQ3NZylhY4vHgopXmBz2Ffb6fLhRl5bfphNJ+L1N9jY0hqGfqLu75t/fdCtOUk4rSZvVnbg3VrraCrOyRu8WgIKnN2kdTRCCFFpktwI3Bxt+PHxjvRv7oW9tSWxyVks3h3NYwv3EvLOep76aR9L90ZXfdmGet2g5X2AAqtfgIICvcRvNGIK69v4tgUrG21jqayi1htZikEIYcKstA5AGIdGXk58P6Y9Wbn57DqbyIbjl/nveDxxKVmsP3aZ9ccuo9MdJtjPlX7NPOnbzIum3k7oKjpodsB7cGqNOiPn4C8Q8ohhHkgLNw4mNlUN+8LOL9V6N4piWoOihRCikE4xyAAL45WSkoKLiwvJyck4OztrHY5RUxSFo5dS+O94PBuOX+bwxeQS79d1tadvYaITWt8NWyvL8l14x5ew/g11BtUz+8C+tgGi18BX7SHxNIxaCk0GaR1N5eRlw0f1IDcDJmwH71ZaRySEEEDFfn9LciPK7XJKFv8dj+e/45fZfiaB7Lzr3UqONpZ0b+RB32ae9GnqiXst29tfKD8X5naFhJPqQOMh/6uG6A0sPRH+V1/dfykSHNy0jacqFj8Ap9dCv7eh21StoxFCCECSmzJJcqMfmTn57DiTwH8n1O6r+BvG4+h0EOLvSt9mXvRr5kVjr1q3dl+d2wI/3QU6Cxi/BXxMcADujU6shl9HQZ3GMNnEi+Dt/hb+fUldUHPs31pHI4QQQMV+f8uYG1Ep9jaW9GvuRb/mXhQUKBy5lMyGwlado5dSOBB9jQPR1/jf2pP4u9nTt6kX94TUJdjfVb1A/Z7Q4h44uhxWvwiPrzHt8R0xJrZYZlmKlmKIDoPsNLCtpW08QghRQZrOltq6dSvDhw/H19cXnU7HihUr7nhOdnY2r732GoGBgdja2tKgQQPmz59v+GDFbVlY6Gjt58q0/o1ZNaU7u6b34b0RLenVxAMbKwtikjJZuPM8I+fu5ED01esnDngfrB3VxODgr9o9gD5Em3B9m5u5NwDXAMjPgfPbtY5GCCEqTNPkJj09neDgYGbPnl3ucx544AH+++8/5s2bx8mTJ1myZAlNmzY1YJSionxc7HkkNJCFj3UkYkZ/vn20HZ2C3MgvUHh/1fHrRQJd6kLPl9T99W9A5jXNYq6SvGx1TSkwzcrEN9PprrfeyJRwIYQJ0rRbavDgwQwePLjcx69Zs4YtW7Zw7tw53NzUAZv16tUzUHRCHxxsrBjYwptgP1d6f7KZ/VFXWXMkjsGtfNQDQieq600lnILNM2HwR9oGXBmxByE/W5395d5A62j0o2Ff2L9AlmIQQpgkkyrit3LlStq3b8/HH39M3bp1ady4MS+88AKZmZm3PSc7O5uUlJQSm6h+3i52PNVDnU304ZoT5BTNtLKygcEfq/t7voO4IxpFWAXRN4y3MeVxQzcK6gE6S0g6C1fPax2NEEJUiEklN+fOnWP79u0cOXKE5cuXM2vWLP744w8mTZp023NmzpyJi4tL8ebv71+NEYsbPd2jPnVq2RKVmMHPYVHX32jQG5rfDUqBWrnY1CbwFRXv8++obRz6ZOdy/Xmk9UYIYWJMKrkpKChAp9OxePFiOnbsyJAhQ/jss89YuHDhbVtvpk+fTnJycvEWExNTzVGLIo62Vjw/oDEAX/53muSM3OtvDvwArB0gehcc+k2jCCtBUa633JjDYOIbFY+72ahtHEIIUUEmldz4+PhQt25dXFxcil9r1qwZiqJw4cKFUs+xtbXF2dm5xCa080B7f5p4OZGcmctXG09ff8PFD3q8oO6vfwOyTKT7MOkcZCSApQ34tNE6Gv1qWJjcnNuiFl4UQggTYVLJTdeuXbl06RJpaWnFr506dQoLCwv8/Pw0jEyUl6WFjulD1NltP+46T3RixvU3O08GtwaQdhk2f6hRhBVU1CXlGwLWdtrGom8+bcDBHXJS1bXAhBDCRGia3KSlpREREUFERAQAkZGRREREEB0dDahdSmPGjCk+/uGHH8bd3Z3HHnuMY8eOsXXrVl588UUef/xx7O3ttXgEUQk9G3vQvVEdcvMVPlp74vobVrYwpHBw8e5v4PIxbQKsiGgzKt53MwsLqN9b3ZdxN0IIE6JpcrNv3z5CQkIICQkBYNq0aYSEhDBjxgwAYmNjixMdgFq1arF+/XquXbtG+/btGT16NMOHD+fLL7/UJH5ROTqdjleHNEOng1WHYtkfdUNhv4b9oNlwUPLVysXGPri4eDCxGSY3cL1rSurdCCFMiKwtJTTz0h8H+W3fBdoGuPLn/3W5vv7UtRiY3QHyMuHeedDqPm0DvZ2MJPg4SN1/4QzU8tA2HkNIjYNPmwA6ePEMONbROiIhRA1Vkd/fJjXmRpiX5wc0wd7akgPR1/j3SNz1N1z9ocfz6v7a14x3cPGFfepXtwbmmdgAOHmDV0tAgbObtI5GCCHKRZIboRkvZzvGFxX2+/cE2Xn519/sMgXc6kNaHGwx0qrFMWY6BfxmDfqoX6VrSghhIiS5EZoa36M+Hk62RCdl8POuGwr7Wdler1y8+xuIP1H6BbQUbebjbYo0vKHeTc3qxRZCmChJboSmHG2teL6/Wtjvq41nuJaRc/3NRv2hyVAoyDO+ysX5uXBxv7pv7slNQGe1wGLaZbhsgstjCCFqHEluhObuL1HY70zJNwfNBCs7OL8Nji7TJsDSxB5SBzzbuUKdxlpHY1hWtlCvm7ovU8KFECZAkhuhOUsLHa8ObQbAT7vOE5WYfv3N2oHQbZq6v/Z1yE4r5QoaiLmhvo1FDfgxaiBTwoUQpqMG/KssTMGNhf0+XnOy5Jtdn4Xa9SD1Emz9WJP4blFU3ybAzLukijTsp36NDoOc9LKPFUIIjUlyI4zGa0ObYaGDVYdj2R+VdP0Na7vrg4t3fQ1XTmkTYBFFuWEwsZnPlCri3gBcAyA/B85v1zoaIYQokyQ3wmg09Xbm/nb+ALy36jgl6ks2HgiNB6uDi//VuHLxtSh1irqFlbqmVE2g013vmpJxN0IIIyfJjTAq0wY0xt7akvDoa6w+HFfyzUEzwdIWzm2GY39pEh9wvdXGJxhsHLSLo7oVTQk/s0HbOIQQ4g4kuRFGxcvZjqd7Fhb2W3O8ZGE/tyDo9py6v/ZV7cZ+FA8mriFdUkWCeoDOEpLOwtXzWkcjhBC3JcmNMDrje9TH08mWmKTMkoX9ALpNBddASLkIW/+nSXzE7FG/1pTBxEXsXMC/o7ovXVNCCCMmyY0wOg42Vjw/QK0d8+V/p0sW9rO2h0Efqvs7Z0PC6eoNLisZLh9V9829eF9pGtxQrVgIIYyUJDfCKN3Xzp+m3k6kZOXx5X83FfZrMhgaDYCCXPj3peodXHxhL6CorUdO3tV3X2PRsHCdqXNb1CrNQghhhCS5EUbJ0kLHq0PUwn4/h53nfMIN42t0OrX1xtJGbUE4/nf1BVY0mNjcF8u8HZ82YO8GOamFiZ4QQhgfSW6E0erR2IMejT3Uwn5rb1o4072BWtwPCgcXZ1RPUDdWJq6JLCyhQW91X8bdCCGMlCQ3wqi9NkQt7Lf6cBz7zieVfLPbNHAJgOQY2Pap4YPJz4MLhYtl1tSWG7herViWYhBCGClJboRRa+LtxAPtb1PYz8ZBrX0DsPNLSDxr2GAuH4HcdLB1Bo9mhr2XMWtQOO7mUgSkJxruPrmZcOg3WDkFEs7c+XghhCgkyY0wetP6N8bBxpKImGusOhxb8s2mQ9WWhPwcWDIK9nwP6QmGCaRoPSm/DjVjsczbcfIGr5aAAuc26f/6cYdh9YvwaRNY9hQc+FEdOC6EEOVUg/+FFqbC09mOp3s0AOCjNSdKFvbT6dR1p2xdIOEkrH4BPmkMP4+EiF8gK0V/gUQXjrepyV1SRYpab/RVrTgrBfbNh+96wTfdYM936rR7F39Ap3aBGbplTghhNiS5ESbhqR5BxYX9ftp5U2E/9wYwaTcMeE+dzaPkq78MV/wf/K8hLH0Ejq5QuzmqoqjlpqYOJr5Rwxvq3VR2Kr6iqAnjiolqK80/z8GlcLCwhuYj4NHl8Oyh6/fav0AvoQshzJ9OUbRcgbD6paSk4OLiQnJyMs7OzlqHIyrgt70xvPTnIZztrNjyYm9qO9qUfmDCGTjyJxz5AxJuWEHcxkntxmp1H9TvBZbW5b/5tRiY1VJdfmB6DNg4VulZTF5eNnxUD3IzYMJ28G5V/nPTE+DgEjjwU8nPp04TaDsGgh8CxzrXXz+xGn4dBfa1YdpxtZCjEKLGqcjv70q13MTExHDhwoXi7/fs2cPUqVP57rvvKnM5Icrl3nZ+1wv7bSyjMnGdhtDrZZi0B57epk4Zd/FXa7Mc+hUW33e9peD8DigouPPNi1ptvFtJYgNgZQv1uqn75ZkSXpCvdmH9NgY+bQrrXlcTG2sHaPMIPL5ObX3rMrlkYgPqivAu/pB5VW2BE0KIO6hUcvPwww+zaZM6kDAuLo7+/fuzZ88eXn31Vd555x29BihEEUsLHa8NLSzstyuKyIQ7LJyp04FPa+j/jtq98fha6PAUOHpARqI6xmPhELVFZu1rapfI7RoypUvqVsVLMZSR3FyLgc0fwhfBsOhedTX3glzwbQvDZsHzJ2HE1+o6XTpd6dewsIR2Y9X9ffP0+ghCCPNUqeTmyJEjdOyoLqD322+/0bJlS3bu3Mkvv/zCwoUL9RmfECV0b+RBz8Ye5BUofLzmxJ1PKGJhoQ4EHvoJTDuhjudo84g6EDnlIuyarQ5m/aodbPoArpwqeX7xYGJJbooVjYWJDiu5QntejprELLoXZrWCzTPVWkR2LtDxabUba/wmaP8Y2JWzazhkjDoW58JeiD2o/2cRQpgVq8qclJubi62tLQAbNmzgrrvuAqBp06bExsaWdaoQVfbqkGZsO32Ff4/Esfd8Eh3quVXsApZW6myfBn1g6Kdqd8mRP+DkGkg6C1s+UjfvVtDyPrVb5PIR9Vx/mSlVzL1hYRHFaDi/HWoHQfhPELEEMm6Yjl+vO7QdC82GVX68jJMXNBsOR5fB3nlw15f6eQYhhFmq1IDiTp060bt3b4YOHcqAAQMICwsjODiYsLAw7rvvvhLjcYyNDCg2D9OXHWLJnhiC/V1ZMbELutt1aVREdiqc/BcO/6F2tRTklXzfxR+eO1L1+5iTv6eqs5js3SDzhgrStbygzWgIeUSdzaYP57fDwqHqOJ3nT6gtQUKIGsPgA4o/+ugjvv32W3r16sWoUaMIDg4GYOXKlcXdVUIY0nOFhf0Oxlzjn0N6ai20dYLWD8Do3+CF0+qYkHrdgcLEqX4v/dzHnBQtxZCZBDoLaDwIHloCzx2Ffm/qL7EBCOwKHk3VGVoHl+rvukIIs1PpqeD5+fmkpKRQu3bt4tfOnz+Pg4MDnp6eegtQ36Tlxnx8+d9pPlt/Cr/a9myY1hM7a0vD3CjlkjrWI6iHOh1ZXFeQrw4YtrKFNg+Ds69h77f7O/j3RXXa+KTdtx+ELIQwOwZvucnMzCQ7O7s4sYmKimLWrFmcPHnSqBMbYV6e7B6El7MtF65m8tOu84a7kbMvNL9bEpvSWFhCn9egxwuGT2wAgh9Uu6USTkLUDsPfTwhhkiqV3Nx999389NNPAFy7do1OnTrx6aefMmLECObOnavXAIW4HQcbK54f0ASArzae4Wp6jsYRCYOzc1G7DkEdWCyEEKWoVHJz4MABunfvDsAff/yBl5cXUVFR/PTTT3z5ZflnMWzdupXhw4fj6+uLTqdjxYoV5T53x44dWFlZ0aZNmwpGL8zJvW39aObjTGpWHl/8V0ZhP2E+2j+hfj2+ElIvaxuLEMIoVSq5ycjIwMnJCYB169YxcuRILCwsCA0NJSoq6g5nX5eenk5wcDCzZ8+u0P2Tk5MZM2YMffv2rdB5wvxYWuh4bYha2O/HXefZdCJe44iEwfm0VldmL8hTp54LIcRNKpXcNGzYkBUrVhATE8PatWsZMGAAAPHx8RUapDt48GDee+89Ro4cWaH7P/300zz88MN07ty5QucJ89StUR1GdwpAUWDKr+Gcv1PlYmH6Ojypft23UB3ULIQQN6hUcjNjxgxeeOEF6tWrR8eOHYuTjHXr1hESEqLXAG+2YMECzp49y5tvvlmu47Ozs0lJSSmxCfPz5vAWtAusTWpWHk//vJ/07Lw7nyRMV/MRam2dlAtwaq3W0QghjEylkpv77ruP6Oho9u3bx9q11/9h6du3L59//rnegrvZ6dOneeWVV1i8eDFWVuUrrjxz5kxcXFyKN39/f4PFJ7RjY2XBnNFt8XCy5eTlVF768xA1bMH7msXaDkJGq/uy3pQQ4iaVSm4AvL29CQkJ4dKlS1y8eBGAjh070rRpU70Fd6P8/Hwefvhh3n77bRo3blzu86ZPn05ycnLxFhMTY5D4hPa8nO2YO7otVhY6Vh2K5but57QOSRhS+8fVr2f+gyT5rIUQ11UquSkoKOCdd97BxcWFwMBAAgICcHV15d1336WgoEDfMQKQmprKvn37mDx5MlZWVlhZWfHOO+9w8OBBrKys2LhxY6nn2dra4uzsXGIT5qt9PTfeHN4cgI/WnGD76YQ7nCFMllv9wpXJFdi3QOtohBBGpFLJzWuvvcbs2bP58MMPCQ8P58CBA3zwwQd89dVXvPHGG/qOEQBnZ2cOHz5MRERE8TZhwgSaNGlCREQEnTrJas1C9UhoIPe186NAgWeWHCAmKUPrkIShFA0sDl8EuVnaxiKEMBqVWhX8xx9/5IcffiheDRwgODiYunXrMnHiRN5///1yXSctLY0zZ84Ufx8ZGUlERARubm4EBAQwffp0Ll68yE8//YSFhQUtW7Yscb6npyd2dna3vC5qNp1Ox3sjWnIyLpXDF5OZsGg/f/5fF8MtzyC003ggOPupA4uP/aVWMBZClC3xLKQnQID5NgpUquUmKSmp1LE1TZs2JSkpqZQzSrdv3z5CQkKKZ1hNmzaNkJAQZsyYAUBsbCzR0dGVCVHUcHbWlnzzaDvcHG04eimFV5cflgHG5sjCEtqNU/f3/qBpKEKYhJg98E13WDAIEs7c+XgTVamFMzt16kSnTp1uqUb8zDPPsGfPHnbv3q23APVNFs6sWXaeTeDReXvIL1B4+64WjO1ST+uQhL6lXobPm6tF/Z7ephb5E0LcKvYgLBwO2cnq9wPegy7PaBtTBRh84cyPP/6Y+fPn07x5c5544gmefPJJmjdvzsKFC/nkk08qFbQQhtClQR2mD1ZbGd/95xh7IsvfsihMhJMXNBuu7su0cCFKF38Cfr5HTWxsCxOD0+u1jcmAKpXc9OzZk1OnTnHPPfdw7do1kpKSGDlyJEePHmXBApm1IIzLE92CGB7sS16BwsTF+4lLloGnZqdovalDv0OWFOoUooTEs/DT3ZCRCL4hMOYv9fXoXZCdpm1sBlKpbqnbOXjwIG3btiU/33jLoUu3VM2UkZPHyDk7ORGXSht/V5Y+HYqtlQwwNhuKAl93goSTMOQT6PiU1hEJYRyuxcCCwZAcA57NYdwqsK8NX4bA1Uh4aAk0HaJ1lOVi8G4pIUyNg40V3z7aDmc7KyJirvHWymNahyT0SaeDDoWtN3t/UJMdIWq61Dj46S41sXFvCI+uAAc39eelUX/1mNPrNA3RUCS5ETVGoLsjX44KQaeDJXui+XWPzMQzK8EPgbUDXDkBUTu1jkYIbaUnwk8j1OrdLgFqV5ST1/X3GxYmN2c2mOUfA5LciBqlVxNPXhjQBIAZfx0lPPqqxhEJvbFzgVb3q/sysFjUZJnXYNE9cOU4OPnA2L/Axa/kMfW6gaWt2qpz5aQmYRpShYr4jRw5ssz3r127VpVYhKgWE3s14NCFa6w9epn/W3SAv5/phoeTrdZhCX3o8AQc+BGOrYS0eKjlqXVEQlSv7DT45QF12rdDHbXFxq3+rcfZOKgJztn/4Mx68DTMupBaqVDLzY2ra5e2BQYGMmbMGEPFKoRe6HQ6Prk/mAYejsSlZDHplwPk5htmTTRRzXyCoW57KMiFAz9pHY0Q1Ss3E34dBTG71ZbMMSvAo8ntj280QP1qhuNu9DpbyhTIbClR5OyVNO6evYO07DzGdanHW3e10DokoQ8RS2DFBHDxh2cPqlWMhTB3eTmwdLSaqNjUUlts/NqXfU7iWfiqLVhYw8uRYOtUPbFWksyWEqIcGnjU4rMHggFYuPM8y8MvaByR0IsW96hTXZNjzPIvUiFukZ8Hy55U/3+3soeHf7tzYgPg3gBqB6ktnZFbDR9nNZLkRtRoA1p4M6VPQwBe+fMwRy4maxyRqDJrO2gzWt3fKwOLhZkrKIC/JqkLx1rawEOLoF7X8p9fPCXcvKoVS3Ijaryp/RrTu4kH2XkFTFi0n6vpOVqHJKqq/ePq1zMbIClS21iEMBRFgdXPw6FfQWcJ9y+Ehv0qdo2icTdmNiVckhtR41lY6Jj1YAiB7g5cuJrJlF/DyS8wnx/yGsm9ATToAyiwX5aEEWZIUWDd67BvPqCDkd9B06HlOnXd0Ti+3XKWggJFnTFlZVc4JfyEYWOuRpLcCAG4OFjz3aPtsbe2ZNvpBP631vzqPtQ4HZ5Uv4YvgrxsbWMRQt82z4Rds9X9u76EVveV67S8/AKm/XaQmf+eYOOJeLC2VxMcMKuuKUluhCjUxNuJ/93fGoBvtpxl9eFYjSMSVdJoIDjXVRcLPPaX1tEIoT/bZ8GWj9T9wR9D2/KXYDl1OY207DwAFu2OUl8srlYsyY0QZmlYa1/G91ALXr3w+0FOXU7VOCJRaZZW0G6cur/3B01DEUJv9nwPG95U9/u+CZ2ertDp4THXq7JvOXWF6MSM64OKo3ZBtnn8myfJjRA3eWlgE7o2dCcjJ5/xP+0jOTNX65BEZbUdAxZWalGzuCNaRyNE1YQvgtUvqPvdX4Du0yp+iehrxfuKAov3RKlj1Nzqq1PCz23RU7DakuRGiJtYWVrw1ai21HW153xiBtOWRqgD74TpcfKGpsPUfVlvSpiyI3/CymfU/dCJ0Of1Sl0mIuYaAA918Afg930XyM7LN7uuKUluhCiFm6MN3z7aDlsrC/47Ec8X/53WOiRRWR2eUL8eXApZKdrGIkRlnPwXlo0HpUDtah34Aeh0Fb5McmYuZ+LTAJg2oDE+LnYkpefw7+G4G+rdmMeUcEluhLiNlnVd+OCeVgB88d9pZv57nPDoq9KKY2rqdYc6jSE3HQ4t1ToaISrm7Eb4bQwU5EGrB2DoZ5VKbAAOFrbaBLo74Olkx6iOAQD8HBZ1fUp4ygWzmBJeoVXBhahp7m3nx+GLySzceZ5vt5zj2y3nqFPLhl5NPOnb1JNujergZGetdZiiLDodtH8C1rys1gTp8GSlfzlUq/w8SLsMqbHqlhILqZcgNQ5SLqmvpSeoA0p7vaJ1tMIQonbCkochPweaDYcRc6u0VlrReJsQf1dA7Zr68r/T7I+6yrEruTSv113tljq9Djyb6eEBtCPJjRB3MGNYc0ICXFl37DJbT14hIS2HP/Zf4I/9F7C21NEpyJ0+TT3p09STenUctQ5XlCb4IfjvbYg/BtG7ILCLdrEoCmRdK5mkpMTekMQUJjDp8Wo3xJ1s/QRCHgWXugYPXVSji/th8QOQl6mOh7l3vjoDsAoiCmdKtSlMbjyd7RjYwptVh2NZtDuKDxr1L0xu1kPXZ6v6BJqS5EaIO7Cw0HF3m7rc3aYuufkF7D2fxMbj8Ww8Ec+5hHS2n0lg+5kE3vnnGPU9HOnb1JM+Tb1oX6821pbS82sU7F3VImcHflLXm6qO5CYvB46vhNiIm5KXWPUXVnlYWEEtb3VgtLMPOPkWfi3cNn0AMWGw62sY9IFBH0dUo/M74NeHISdV7VZ98GewsqnSJRVFIbywWyokoHbx66NDA1h1OJYV4Rd5NbQXtQCiw9Qp4Ua+SnhZJLkRogKsLS3o0qAOXRrU4fVhzTl3JY2NJ9REZ09kEueupHPuSiTfb4vEyc6Kno096NvMk56NPXFzrNo/TqKK2j+hJjfH/oK0D6GWh2Huk54I++fDnh8gLe72x9nXvp6k3JiwOPte33f0AIsyEuT8XFh8L+xfCD1eAAc3vT+OqEYX9qkJ69n/1O/9OsCoJWoV4So6n5jBtYxcbKwsaObjXPx65/ruNPBw5OyVdJaft+VRt/qQdE6dEt5sWJXvqxVJboSogvoetajvUYsnu9cnJSuXbacS+O/EZTafvEJSeg7/HIrln0OxWOigbUBt+jTzpG9TLxp71UJnCuM+zIlvG6jbTm3uD/8Juj+v3+tfOQlhc+Dgr5CXpb5WyxtajAAXv1sTGT38wqJhX/BuBXGHYc93MvbGVF08oC6ncHqd+r3OEkJGQ/939dZ6Eh6tdkm1quuCjdX1hFmn0/FIaCBv/32Mn8OieKRJf3R7vlVjkeRGCOFsZ83Q1j4Mbe1DfoFCRMw1Np64zH/H4zkRl8q+qKvsi7rKx2tOUtfVXh2n08yTzvXdsbOu/CBBUQEdnlSTm30LoevUKg3OBNTxM2c3qknNmQ3XX/cJhtBJ0OKeKncnlEmng27PwR+Pw+5voPNksK1luPsJ/Yo9pCY1J1er3+ssIXiU2grnFqTXWxXVtykab3OjkW39+HjNSU5dTuNUh8404dvrq4Sb6B9hktwIYQCWFjraBdamXWBtXhzYlIvXMtl4Ip5NJ+LZcSaBi9cy+Tksip/DorC3tqRXEw/eHN4Cbxc7rUM3by3ugTXTITlaHTTZZFDlrpObCYd+g7C5cOV44Ys6dVXm0InqmJ7q+qXQfAS4vad2JRz4ETpPqp77isq7fFRNao7/rX6vs1Cnefd8Sa0WbADFM6UCXG95z8XemruCfVm6L4bvonz41MoOUi5C/HHwam6QeAxNkhshqkFdV3seDQ3k0dBAMnPy2Xk2gf9OxLPxeDxxKVn8eySOY7Ep/Do+FB8XPXRXiNJZ20PII+pqyvvmVTy5Sb0Me79Xp5RnJKqv2dRSZyt1Gq+WsK9uFpbqzJa/n4Wds9XWKSvb6o9D3Fn8CdjyIRxdXviCTh3o3vNlqNPIYLfNys3neKxawPLGwcQ3erRzIEv3xbDyWBIfNO6KbeR/6swpE01uZCqHENXM3saSvs28+OCeVuya3oe/JnXF382eqMQMHvoujEvXyjmTRlRO+8fVr6fXw9Xz5Tsn9hAsnwCft4Ct/1MTG5cAGPA+TDsGgz/UJrEpEjxKHceTekkKFRqjK6fgjydgTuj1xKbFPTAxDO79waCJDcCRi8nkFSh4Otnie5vW4ZZ1XQj2dyU3X2G3ZTv1xdOmuxSDJDdCaEin0xHs78qv4ztLglNd3BtA/d6AAvsW3P64ggI4sRoWDoNvu8PBJerCgv6d4P4fYUo4dJkMdi7VFvptWdle747aPgsK8jUNRxRKPAvLnoY5neDIH4ACze6C/9sJ9y8Ez6bVEkZRl1Qbf9cyJzI8GhoIwOzoeuoL0btMdskSSW6EMAJ1Xe35dXxnAtwciE6SBMfgOjypfg3/GfKyS76XnQa7v4PZ7eDXUXB+mzrQs+W98ORGeGKdOgOqigXV9K7dOLBzhaSzan0doZ2kSFgxCWZ3gEO/qsUYmwyFp7epNWu8WlRrOOGFxftu1yVVZFhrH1zsrdmT4kpGrXrqkg+RprlKuKbJzdatWxk+fDi+vr7odDpWrFhR5vHLli2jf//+eHh44OzsTOfOnVm7dm31BCuEgakJTmiJBOeiJDiG0XgQONdVu5eOFSYCyRdg3RvweXP490V1gK6dizqeZeohuG8++LXTNu6y2DqpSzEAbP/cLBY/NDnXotWVu2e3h4hFoORDo4EwfjOM+gV8WmsSVlmDiW9kZ23J/e38ANiha6O+aKJdU5omN+np6QQHBzN79uxyHb9161b69+/P6tWr2b9/P71792b48OGEh4cbOFIhqodvYYIT6F6U4OySBMcQLK2g7Vh1f+cX8PtjMKs17PwSspLBrQEM+QSeOwb931Hr1JiCjk+DtQPEHlSnqIvqkXwB/nkOvmyrFoosyIMGfeHJ/2D0b+AbollocclZxCZnYaGD1n537kIdXdg1tSixifrC6fUmmSjrFMU4otbpdCxfvpwRI0ZU6LwWLVrw4IMPMmPGjHIdn5KSgouLC8nJyTg7O9/5BCE0EJucyUPfhRGVmIG/mz1LngrFr7aD1mGZl5RYmNVS/UVUJKiHWp+m0YCyKwMbs39fgd1z1bL94/7ROhrzlnIJtn2mTsHPz1Ffq98Ler0KAZ00Da3ImiOxTFh0gGY+zvz7bPdynfPovN3sOX2JIw5PY12QrY4RquautNJU5Pe3if70qgoKCkhNTcXN7fYlx7Ozs0lJSSmxCWHsfFzUFpx67g7EJKmJzoWrGVqHZV6cfQqnTdtBm9EwYTuM/VudHm6qiQ2og5wtrNWxQjF7tY7GPOVmwZpX4Ys2ammA/JzCZHI1jPnLaBIbKH+X1I1GdwokGxvCCgoTGhPsmjLhn2D49NNPSU9P54EHHrjtMTNnzsTFxaV48/f3r8YIhag8Hxd7lhQmOBeuqglOTJIkOHo1+CN4/TKMmKMuY2AOXPyg9YPq/vbPtI3FXG16D8K+hvxsCOisJsXj/oF6XbWO7BbFyU0plYlvp18zT7yd7VifW/gzcWP1bRNhssnNkiVLeOutt1i6dCmenp63PW769OkkJycXbzExMdUYpRBVo7bgdJYER1RMt6mATi3rf/mY1tGYl8vHYNccdf+e7+Cxf9XuTCOUl1/AoYvXgDvPlLqRlaUFozoGsLmgjfqCCU4JN8nkZunSpTzxxBP89ttv9OvXr8xjbW1tcXZ2LrEJYUq8Xez4dXxnguo4cvGaJDiiHOo0gmbD1f0dszQNxawoCqyaps6CajoMgh806rWXTsSlkpVbgJOdFfXrOFbo3Ic6+nNR583ZAh91XNq5zYYJ0kBMLrlZsmQJ48aN45dffmHo0KFahyNEtfB2sWPJU6GS4Ijy6z5N/Xr4D7gapW0s5uLgErUVw9oBBn2odTR3FH7DYpkWFhVLwryc7RjYwostBcHqC2dMa9yNpslNWloaERERREREABAZGUlERATR0dGA2qU0ZsyY4uOXLFnCmDFj+PTTTwkNDSUuLo64uDiSk5O1CF+IaqW24IRSXxIcUR6+IWolZiUfdn6ldTSmLyNJrYME6lpQrsY/fjM8unzF+27nkU6BbC5MbgpMbEq4psnNvn37CAkJISRErQEwbdo0QkJCiqd1x8bGFic6AN9++y15eXlMmjQJHx+f4u3ZZ5/VJH4hqpuXsx1LbkpwohMlwRG30e059Wv4z5AWr20spm7ju5CRAB5N1ZXfTUBEYctNRWZK3ahzA3cuu7UnU7HBIjVWXc3cRGia3PTq1QtFUW7ZFi5cCMDChQvZvHlz8fGbN28u83ghagIv58IWHI+iBGeXJDiidEE9oG47yMuCsLlaR2O6Luy/vg7Z0E/BykbbeMrhWkYO566kA9DGz7VS19DpdDwY2oidhVPCFROaEm5yY26EEODpbMevT4XSwMORS8lZPPTdLqIS07UOSxgbnQ66FY692fuDWn1ZVExBPqx6DlCg9UNQr5vWEZVLUatNUB1HajtWPhm7t51f8VIMqUf+1UNk1UOSGyFMlGdhF9X1BCdMEhxxqyZD1K6U7BTYO0/raEzPvvnqcha2LjDgXa2jKbfK1LcpjYu9NTZNBwLgeHmfySTIktwIYcI8na4nOLGFCc75BElwxA0sLKDrVHU/bA7kylpl5ZYWD/8VJjR934Bat6+pZmyqOt7mRkN7dOFsgQ+W5JNyzDS6piS5EcLEFSU4DT1rSYIjStfqPnAJgPQrELFY62hMx7o3IDsZfNpA+8e1jqbcCgqU4uSmjX/lZkrdqJWfC0cdOgJwYc/KKl+vOkhyI4QZ8HRS6+A09KxFXIqa4ERKgiOKWFpDl2fU/R1fQn5e2ccLOL8dDv0K6GDYZ2BhqXVE5RaZmE5yZi62VhY09XHSyzVdgocAUCduO/n5BXq5piFJciOEmfBwsmXJU6E0Kk5wdkmCI64LeQQc6sC1KDi6TOtojFteDqx6Xt1v/7g648yEFI23ae3ngrWlfn7Nd+w5nExs8SSRfXu36eWahiTJjRBmxMPJll8KE5zLKdmS4IjrbBwgdIK6v/1zKDD+v741EzYHrpxQk8G+b2gdTYVFxKjF+9pUcTDxjewdHIlxUZO86N3G3zUlyY0QZsbDyZYl40Np7HU9wTl3JU3rsIQx6PAU2DhB/DE4vVbraIzTtRjY8pG6P+A9sK/6mJXqVjxTqpKViW/HLVhd8iggcbvRV0eX5EYIM1SnltqC08TLqTDBCeNkXKrWYQmt2btCh8KBsds+M6ly+tVmzSuQmwEBXSD4Ia2jqbCMnDxOFP6s62Om1I3qtFGTm3a6U/yx07hXm5fkRggzpSY4nWjq7UR8ajb3f7OT/VFJWocltBY6CSxt4cIeiNqhdTTG5dRaOPEPWFiplYiNeMXv2zl8IZn8AgVvZzt8XOz1e3G3INKcgrDSFXDpwL9k5+Xr9/p6JMmNEGbMvZYtv44PpV1gbVKy8hj9w242nZA1hmo0Jy8IGa3ub/9c21iMSW4mrH5R3Q+dCF7NtY2nkiJuWAncEByaDwKgXc4+1hyJM8g99EGSGyHMnKuDDYue6ETvJh5k5Rbw1E/7WB5+QeuwhJa6TAGdBZzZoFbfFWo33bUocK6rrvptoq6Pt3E1yPUtGvUHoJflQRbtOm+Qe+iDJDdC1AD2NpZ8N6Y994TUJa9A4bmlB5m3PVLrsIRW3IKg5b3qvrTeQMIZ2DFL3R80E2xraRpOVYQXzpTS92DiYoFdKbCyx1t3lbTog5yISzHMfapIkhshaghrSws+vT+Yx7sGAfDuP8f439oTKDKotGYqWpLh2F+QeFbTUDSlKLD6ecjPgYb9oNldWkdUabHJmVxOycbSQkerui6GuYm1HRb1ewLQy+Igi8OiDXOfKpLkRogaxMJCxxvDmvHiwCYAfL3pLK8uP0J+gSQ4NY53S2g0EJSC660WNdHR5XBuszrIevDHJjmIuEhRl1RTbyfsbQxYUblhPwB6WUaw7MAF0rKNr+K1JDdC1DA6nY5JvRvywT2tsNDBkj3RTFp8gKxc4535IAyk+zT1a8QSSLmkbSxayEqBNdPV/e7TwL2BtvFUUXh0UZeUq2FvVDjupr3FKSxzUlgRftGw96sESW6EqKEe7hTA1w+3xcbSgjVH43hswV5Ss3K1DktUp4BQtZ5LQS7s+lrraKrf5g8hLQ5qB13vpjNhxYOJ9bBYZplq1wP3RlhSQFeLIywKizK67m1JboSowQa38mHhYx1wtLFk17lERn0fRkJattZhiepU1HqzbwFk1KA6SHGHYfc36v6QT8DaTtt4qig3v4DDF5OBami5AWg0AIC+Vgc5EZfK/qirhr9nBUhyI0QN16VhHX4d3xl3RxuOXEzh/m92GX1pdaFHDfuBdyvITYc932sdTfUoKFAXxlTyofnd0Kif1hFV2YnYVLLzCnCxtyaojqPhb1j436y/zWFAYVFYlOHvWQGS3AghaOXnwu8TOlPX1Z7IhHTu+2anLNdQU+h00O05dX/3N5BTAxZajVgMMbvB2hEGztQ6Gr0Iv2GxTF11DIoO7ArWDrjkJdJcF8Xqw3EkGlGrryQ3QggA6nvU4s//61K84KYs11CDNLtbHXeSmQT7f9Q6GsPKSIL1M9T93tPBpa628eiJoYv33cLKFoJ6APBQ7ZPk5Bfw2z7jKQ4qyY0Qopi3ix2/Pd2ZtgGuslxDTWJpBV2fVfd3zYa8HG3jMaQNb6lJnGdz6DRB62j0pmjZBYMV7ytN4aypwXZHAPhlT5TRlJWQ5EYIUYKrgw2LnuxErxuWazDGqZ5Cz9o8DLW8IeUiHFqqdTSGEbMXDvyk7g/9DCyttY1HT66m5xCZoHYntvFzrb4bN1STmzpXI6hrl01MUiZbT12pvvuXQZIbIcQtHGys+H5Me0a08SWvQGHq0gjmy3IN5s3KFjpPUvd3zIICM6t7lJ8Hq6YBCrQZDYGdtY5Ib4pabep7OOLiUI0JW+1AqNMYnZLP1PrqH0DGMrBYkhshRKmsLS347IE2PNa1HgDv/HOMT9aeNLp6FkKP2j8Gdq6QeAaO/611NPq1bx7EHVKfr/87WkejV8XF+wxd36Y0ha03A20OA7DxZLxRzLaU5EYIcVsWFjpmDGvOCwMaAzB70xlZrsGc2TpBx/Hq/vbP1XWXzEFqHGx8T93v9yY41tE2Hj0LLx5v41r9Ny+cEu58YQtdG7ihKGrVc61JciOEKJNOp2Nyn0a8f09LdIXLNUz+5QDZeWbWbSFUnSaAlT3ERsC5TVpHox/rXofsFKjbDtqO1ToavSooUIq7pdr4u1Z/AIVTwkmL4/+aZgLw274YcvIKqj+WG0hyI4Qol9GdAouXa/j3iLpcgzEumCeqyNEd2hUmANs+0zYWfTi3BQ7/DjoLGPopWBhwQUkNnEtIIzUrDztrC5p6O1V/AFa2EKSuEt65YD+eTrYkpOWw5mhc9cdyA0luhBDlNuSG5Rp2nk1k1HeyXINZ6jwZLKzg/DZ1zan0BK0jqpy8HLUSMUD7J8A3RNt4DOBAYX2b1n6uWFlq9Cu9sGvK8ux/jOoYAMCiXdoOLJbkRghRIV0a1mHJ+FDcHG04fDGZ+7/ZxfmEGlDVtiZx9VenhgOsfRU+aQw/jVAL/JnS+lO7voLE0+DoAX1e1zoag4jQcrxNkcJBxcTs4eHWLlha6DifmM61DO3qJUlyI4SosNZ+rvxxw3INfT7dzKPzdrMi/CKZOTIWxywM+QT6vQ0+bdQ1mM5tgr+nwCeN4OeREL4IMo1rscQSrkbBlv+p+wPeB3tXTcMxlOsrgbtqF0TtQKjTBJR8vBJ28tvToex4pQ+uDjaahaRpcrN161aGDx+Or68vOp2OFStW3PGcLVu20K5dO+zs7Khfvz7ffPON4QMVQtyiaLmGLg3cKVBg2+kEpi6NoMP7G3jpj4PsPpdIgcyqMl1WttBtKjy9BZ45AH1nqAtsFuTB2f/gr0nwv0aw+H6I+AUyr2kdsSrtCpxap8aXlwmB3aD1A1pHZRDp2XmcjEsBqrkycWkKqxVzej3tAt2w1qqLrJCVljdPT08nODiYxx57jHvvvfeOx0dGRjJkyBCeeuopFi1axI4dO5g4cSIeHh7lOl8IoV/eLnb88lQoUYnpLDtwkWXhF4hJyuS3fRf4bd8F/N3suSfEj3vb1iXQvRpWKhaG4d4Auj+vbgln4NhyOLoCLh+B0+vUzcIaGvaFFvdAk8Fg52L4uDKvwqUIuHQALoWr+8kx19+3sFIHEVfHQpIaOHQhmQIFfF3s8HK20zaYhv3UpTvObFBXXbfQNrnRKUZSkUun07F8+XJGjBhx22NefvllVq5cyfHjx4tfmzBhAgcPHmTXrl3luk9KSgouLi4kJyfj7Oxc1bCFEDcoKFDYez6JZQcusupwbInZVB3q1WZkWz+GtvbB2c48yt7XeFdOwbEVcHQ5xB+7/rqljfrLrsU90HgQ2Onh39rsVIg9qCYxFwuTmaulVc3WQZ1G6uDhNqOhfs+q39tIzd18lo/WnGBoKx++Ht1W22DysuGjIMhNh6e3gk+w3m9Rkd/fmrbcVNSuXbsYMGBAidcGDhzIvHnzyM3Nxdr61n8ws7Ozyc6+PpsjJSXF4HEKUVNZWOjoVN+dTvXdeeuuFqw7Fscf+y+w40wCe89fZe/5q7y18igDWnhzb9u6dGtYR7sZHqLqPBpDz5fULf6EmugcWQYJJ+HkanWztFW7LIoSHdtad75uTobaKlSUxFwKh4RTQCl/i9cOUhOZos0nWD/JlAkoqkysSX2bm1nZqonkydVwer1BkpsKhaPp3SsoLi4OLy+vEq95eXmRl5dHQkICPj4+t5wzc+ZM3n777eoKUQhRyN7Gkrvb1OXuNnWJS85iRcRF/tx/gdPxafx98BJ/H7yEp5MtI0Lqcm9bP5poUaND6I9nU/B8BXq+DPHH1daco8vUpRxO/KNuVnbQaEBhojMQbBzVv/gvHy1MYg6oXUvxx9VBzDdz9oO6NyYybcDBrbqf1CgoiqJtZeLSNOx3Pbnp8YKmoZhUcgNq99WNinrVbn69yPTp05k2bVrx9ykpKfj7+xsuQCHELbxd7JjQswFP96jP4YvJ/Ln/AisPXiI+NZvvtp7ju63naFnXmXvb+nFXsC/utWy1DllUlk4HXs3VrferauJSlOgknYPjK9XNyh7cG6qtPPmlTBl29IS6bcG3bWEy0wZqeVb74xiri9cyuZKajZWFjpZ1q2F8U3kUDSq+sEcdD2Wv3SBnk0puvL29iYsrWfUwPj4eKysr3N3dSz3H1tYWW1v5h1IIY6DT6Wjt50prP1deG9qcTSfj+XP/BTadjOfIxRSOXDzG+6uO06uJJ/e1q0vvpp7YWplXRdkaRacD75bq1ud1iDt8PdG5eh4uq4stYu92vTWmbmEy4+RjtgOB9aGovk1zX2fsrI3kZ8Q1QJ0SnnASzm6CliM1C8WkkpvOnTvz998lV6pdt24d7du3L3W8jRDCeNlYWTCwhTcDW3iTlJ7D3wcv8eeBCxy6kMyG45fZcPwyrg7W3BXsy8ReDfF20Xg2iKganQ58Wqtb3xnq4ODkC+r0ctcASWQqqKi+jVGMt7lRo/5qcnNmg6bJjaYj+dLS0oiIiCAiIgJQp3pHREQQHa2uKDp9+nTGjBlTfPyECROIiopi2rRpHD9+nPnz5zNv3jxeeEHbvj0hRNW4Odowtks9Vk7uxrrnevB0z/p4OdtyLSOXn3ZFMeyrbew9b0KVcUXZdDq1m6nZMLUAnCQ2FVY0mNhoxtsUuaHeDQXaLZ6paXKzb98+QkJCCAlR1/uYNm0aISEhzJgxA4DY2NjiRAcgKCiI1atXs3nzZtq0acO7777Ll19+KTVuhDAjjb2cmD64GTtf6ctPj3ekqbcTCWk5jPoujEVhURhJ9QohNJOTV8CRS4XF+/w1Lt53s4DOENAF2o2DfO3WnTOaOjfVRercCGFaMnLyeOmPQ/xzKBaAhzr48/bdLWQsjqixDsZc4+6vd1DbwZoDb/S/7YQac1OR399SYEIIYdQcbKz4alQIrwxuik4Hv+6N4aHvwrickqV1aKKGyssv4Nc90Vy6lqnJ/W+sb1NTEpuKkuRGCGH0dDodE3o2YOFjHXG2syI8+hrDv9rO/igjXrhRmK1f98bwyrLDjJm/h+y86l8o9np9GyPrkjIiktwIIUxGz8YerJzcjcZetYhPzeah73bx657oO58ohB6tPqx2kZ6JT+PrjWeq/f4Rxla8zwhJciOEMCn16jiybGJXBrXwJjdf4ZVlh3l9xWFy8rSbmSFqjqvpOeyOvD5zb87ms5yIq75lfRLTsolKzACgtZ9rtd3X1EhyI4QwObVsrZj7SFteGNAYnQ4WhUUz+ocw4lNlHI4wrA3HL5NfoNDMx5kBzb3IK1B4+c/D5BdUz9ycolabhp61cLGX+m63I8mNEMIk6XQ6JvdpxLyx7XGytWLv+avc9dUODhb+4y+EIaw9qlbJH9TCm3dHtMTJzoqDMddYsKO0Fcr1r6h4X4ixFe8zMpLcCCFMWp+mXqyY3JUGHo7EpWRx/7e7+H1fjNZhCTOUlp3H1tMJAAxq6Y2Xsx2vDmkGwKfrThGTlGHwGCJkMHG5SHIjhDB5DTxqsWJSV/o18yInr4AX/zjEWyuPkpsv43CE/mw5eYWcvALquTvQ2KsWoNZdCq3vRmZuPtOXHTZokcn8AqU4uTG6ZReMjCQ3Qgiz4GRnzXePtmNqv0YALNx5nkd+2E1imnZVUoV5WVPYJTWwpXdxfRmdTseHI1tja2XB9jMJ/LH/gsHuf/ZKGmnZeTjYWBYnV6J0ktwIIcyGhYWOqf0a892j7XC0sWR3ZBJ3zd7BkYvJWocmTFxWbj4bj18G1PE2N6pXx5Hn+jcG4L1Vx7mSapiEuqh4X2s/F6ws5dd3WeS/jhDC7Axo4c2KSV0JquPIxWuZ3Dt3JyvCL2odljBhO88mkJ6Tj7ezHcGlTMF+slsQLes6k5yZy1srjxokBhlvU36S3AghzFIjLydWTOpKn6aeZOcVMHVpBO/9c4w8GYcjKmHtEbXVZkALLywsbl3ywMrSgo/ubY2lhY5Vh2NZV9iFpU9FM6VkvM2dSXIjhDBbLvbW/DCmPZN7NwTgh+2RjF2wh6T0HI0jE6YkL7+A9bfpkrpRC18XxveoD8Abfx0hJStXbzGkZedx8nIqINPAy0OSGyGEWbOw0PHCwCbMHd0WBxtLdpxJ5K7Z2zl2qfqqygrTtvf8VZLSc3B1sKZjkFuZxz7btxFBdRy5nJLNzNUn9BbDoZhrKArUdbXH09lOb9c1V5LcCCFqhMGtfFg+sSsBbg5cuJrJyLk7+PvgJa3DEiagqHBfv2ZedxzIa2dtycyRrQBYsieasHOJeokhXNaTqhBJboQQNUYTbydWTu5K90Z1yMot4Jkl4bz3zzGiEw1ffE2YJkVRSlQlLo/Q+u6M6hgAwCt/HiIrt+orh8t4m4qR5EYIUaO4Otiw8LGOTOjZAFDH4fT43yZ6fLyJ6csOs/pwLNcyZEyOUB26kExschYONpZ0a1Sn3OdNH9IUL2dbzidmMGvD6SrFoCgKETHqNHCZKVU+VloHIIQQ1c3SQscrg5vSxt+F+dvPcyD6KtFJGUTviWbJnmh0Omhd14WuDevQrVEd2gXWxtbKUuuwhQaKWm16N/HEzrr8/w8421nz7t0tGf/zfr7fdo5hrX1oWdelUjFcuJpJQloO1pY6Wvg6V+oaNY0kN0KIGmtQSx8GtfQhLTuP3ecS2XY6gR1nEjgdn8bBC8kcvJDMnM1nsbe2pGOQG90Kk52m3k7FFWqF+VIUhTVHrlclrqgBLbwZ2sqHVYdjefnPQ/w1qWuliu8Vjbdp7utSoQSrJpPkRghR49WytaJvMy/6NvMCIC45i+1nEth++grbzySSkJbNllNX2HLqCgB1atnSraE7XRvWoXsjD7xdZPaKOToTn8a5hHRsLC3o3cSjUtd4664WbD+TwNFLKXy/LZL/69WgwtcoqkwsU8DLT5IbIYS4ibeLHfe18+O+dn4oisLJy6lsP53AttMJ7I5Uk50VEZdYEaHOtmroWUtt1WlYh9AG7tSylX9azUFRl1TXhu442VlX6hoeTra8PrQZL/5xiFkbTjGopTdBdRwrdI2iwcQyU6r85CdQCCHKoNPpaOrtTFNvZ57sXp/svHwORF1j+5krbD+dwKGLyZyJT+NMfBoLd57HykJHSIAr3Rp60K2RO8F+rrIOkIkqWihzUCW6pG50Xzs/Vh68xLbTCbzy5yGWPBVaapXj0mTn5RfXZArxl8HE5SXJjRBCVICtlSWdG7jTuYE7Lw6Eaxk57DqbyLYzCWw/nUB0UgZ7z19l7/mrfL5BbdX55alOeDpJ15UpiUnK4MjFFCx0an2bqtDpdHxwTysGfL6V3ZFJ/Lo3hoc7BZTr3GOXUsjJL8Dd0QZ/N/sqxVGTyJ8TQghRBa4ONgxu5cMH97Ri60u92fpibz64pxVDWnnjZGfFmfg0Hl+4l7TsPK1DFRVQ1CXVoZ4b7rVsq3w9fzcHnh+grhw+c/Vx4pKzynXejfVtZBB7+UlyI4QQehTg7sDDnQKYM7odf0/uhrujDUcupjBx8QFyZdFOk7HuaOFaUlXskrrRY12DCPZ3JTU7jzf+OoKiKHc8RyoTV44kN0IIYSD16jgyb1wH7K0t2XrqCq/8ebhcv9CEtq6kZrM3KgmAgeWsSlwelhY6Prq3FVYWOtYfu8zqw3deOVyK91WOJDdCCGFAbfxd+Xp0CJYWOv48cIHP1p/SOiRxB+uPXUZRoLWfC76u+h3n0tTbmYmF08HfXHmkzGrYV1KziUnKVItK+lWuAGBNJcmNEEIYWJ+mXrw/oiUAX208w+LdURpHJMpSNN5Gn602N5rUpyENPWuRkJbD+6uO3/a4iMIuqUaetSo9Fb2mkuRGCCGqwUMdA3i2byMA3lhxhPXHLmsckShNcmYuO88mAPodb3MjWytLPrq3FTod/L7/AttPJ5R63PXifdIlVVGS3AghRDWZ2q8RD7b3p0CBZ5YcYH/UVa1DEjfZdCKe3HyFRp61aOBRy2D3aRfoxqOhgQBMX36IjJxbZ9NFyGDiSpPkRgghqolOp+P9e1rSu4kHWbkFPPnjXs5dSdM6LHEDQ3dJ3eilQU3xdbEjJimTz9aVHIuVX6BwsDi5kZabitI8uZkzZw5BQUHY2dnRrl07tm3bVubxixcvJjg4GAcHB3x8fHjsscdITEyspmiFEKJqrCwt+Hp0W4L9XLiakcvYBXuITy1fzRNhWJk5+Ww+qa4fZqguqRvVsrXi/XtaATB/R2RxMgNwOj6V9Jx8HG0saehpuBYkc6VpcrN06VKmTp3Ka6+9Rnh4ON27d2fw4MFER0eXevz27dsZM2YMTzzxBEePHuX3339n7969PPnkk9UcuRBCVJ6DjRXzxnUg0N2BmKRMKfJnJLaevkJmbj51Xe1p4etcLffs3dSTu9v4UqDAy38eIidPrYVUVLwv2N8Vy3Iu1SCu0zS5+eyzz3jiiSd48sknadasGbNmzcLf35+5c+eWenxYWBj16tVjypQpBAUF0a1bN55++mn27dtXzZELIUTV1Klly4+PdZQif0bkxi6p6qwGPGNYc2o7WHMiLpVvt5wFIEIWy6wSzZKbnJwc9u/fz4ABA0q8PmDAAHbu3FnqOV26dOHChQusXr0aRVG4fPkyf/zxB0OHDq2OkIUQQq+kyJ/xyM0vYMMx/VclLg/3Wra8ObwFoJYKOBOfSniMzJSqCs2Sm4SEBPLz8/HyKrkgmZeXF3FxpVdt7NKlC4sXL+bBBx/ExsYGb29vXF1d+eqrr257n+zsbFJSUkpsQghhLKTIn3EIO5dISlYedWrZ0C6w+hOKu9v40quJBzn5BUz77SCn49WB5m2k5aZSNB9QfHPTn6Iot20OPHbsGFOmTGHGjBns37+fNWvWEBkZyYQJE257/ZkzZ+Li4lK8+fv76zV+IYSoqpuL/C0KkyJ/1W3NEfWP6v7NvTQZ46LOpGuFo40lhy4koyjg72ZPHT0s2lkTaZbc1KlTB0tLy1taaeLj429pzSkyc+ZMunbtyosvvkjr1q0ZOHAgc+bMYf78+cTGxpZ6zvTp00lOTi7eYmJi9P4sQghRVTcW+Zvx1xHWHb3zukNCPwoKFNYVdklVxxTw26nras9Lg5oWfy9dUpWnWXJjY2NDu3btWL9+fYnX169fT5cuXUo9JyMjAwuLkiFbWloC3Laf2tbWFmdn5xKbEEIYoxuL/E35NVyK/FWT8JirXEnNxsnWii4N6mgay6OhgbQv7Bbr3MBd01hMmabdUtOmTeOHH35g/vz5HD9+nOeee47o6Ojibqbp06czZsyY4uOHDx/OsmXLmDt3LufOnWPHjh1MmTKFjh074uvrq9VjCCGEXkiRP20UdUn1aeaJjZW2ozUsLHTMf6wDc0a35f52fprGYsqstLz5gw8+SGJiIu+88w6xsbG0bNmS1atXExiolqSOjY0tUfNm3LhxpKamMnv2bJ5//nlcXV3p06cPH330kVaPIIQQelVU5G/Ud2EcvJDM2AV7+PP/uuDpZKd1aGZJURTWHi2cJaVhl9SNnO2sGdLKR+swTJpOqWHzDlNSUnBxcSE5OVm6qIQQRishLZt75+4kKjGDlnWd+XV8Z2rZavr3qFk6dimFIV9uw9bKgvAZ/XGwkf/Gxqoiv781ny0lhBDiVlLkr3qsKRy43aOxhyQ2ZkSSGyGEMFJS5M/wimalGUuXlNAPSW6EEMKI3Vzk79N1UuRPXyIT0jkRl4qVhY6+zTy1DkfokSQ3Qghh5G4s8jd7kxT505eitaRC67vj6mCjcTRCnyS5EUIIE/BQxwCm9pMif/pUvFBmNa8lJQxPkhshhDARz/ZtxEMdpMifPsQlZxEefQ2dDgY2L70qvjBdktwIIYSJ0Ol0vDeiZJG/PZFJ5BfIIOOKWndMbbVpG1AbT2epIWRuZN6bEEKYkJuL/D3w7S6cbK1oX682HYPc6VTfjVZ1XbC2lL9dy1JUlXhgC2m1MUeS3AghhIlxsLFi3rgOvPnXUbaeukJqdh6bTl5h08krhe9b0i6wNp2C3OgY5E6wvwu2VpYaR208rqbnsDsyCdB2oUxhOJLcCCGECapTy5avR7clv0DheGwKuyOT2H0ukT3nk7iWkcu20wlsO50AgK2VBSEBrnQKcqdTkBshAbWxt6neZCc7L5+LVzOJTsog5momF5IyqO1ow7gu9bCzrt5YNhy/TH6BQjMfZwLdHav13qJ6SHIjhBAmzNJCR8u6LrSs68IT3YIoKFA4FZ/K7nNJ7IlMYndkIglpOYSdSyLsnNpaYW2pI9jPlU711Zad9oG1cazi0g4FBQqXU7OITlSTl5ikDGKuZqhfkzK5nJpFafUHd5xJ4Psx7as1wSmeJSVdUmZL1pYSQggzpigKZ6+kszsyUU12ziURl5JV4piiBCk0yI2OQW60r+eGi731LddJzswlJqmo9aUwcSlMZC5ezSTnDstDONhY4l/bAX83e3xc7Plj/wUyc/Pp1rAO349pXy2tSenZeYS8u56cvALWTO1OU2/5PWAqKvL7W5IbIYSoQRRFITopg93nkggrTHguXM0scYxOB819nGnt50JSeg7RSWo3Ump2XpnXtrLQ4etqj7+bPQFuDvjVdsDfzQH/2vb4uzng7miDTqcrPn73uUQeW7iXjJx8ujRwZ97YDgZPcFYdimXSLweo5+7Aphd6lYhHGDdJbsogyY0QQpR08Vomu88lql1Z55OITEi/7bEeTrb411aTFzVxccCvMJnxdrbDqoKztPaeT2Lc/D2k5+QTWt+N+eM6GHQBy2eWhPP3wUs83aM+04c0M9h9hP5JclMGSW6EEKJsl1Oy2B2ZxKm4VDWZuaElxhBjY/ZHJTF2/l7SsvPoGOTGgnEdqjwGqDTZefm0e3cDadl5LJvYhbYBtfV+D2E4Ffn9LQOKhRBClODlbMddwb4QXD33axfoxo+Pd2Ts/D3siUzisQV7mf9YB2rpOcHZeSaRtOw8vJxtaePnqtdrC+MiVZ6EEEJorl1gbX5+oiNOtlbsKeyqSrvDGJ+KKircN6C5NxYWMtbGnElyI4QQwiiEBNTm5yc74WRnxb6oq4yZt5vUrFy9XDu/QGH98csADJKFMs2eJDdCCCGMRht/VxY/2QlnOysORF9jzPw9pOghwdl7Pomk9BxcHazpGOSmh0iFMZPkRgghhFFp7efKL0+F4mJvTXj0NR6dt4fkzKolOEVdUn2besm6WzWAfMJCCCGMTsu6Lix+shOuDtYcjLnGo/N2k5xRuQRHURTWFVYlli6pmkGSGyGEEEapZV0XfnkylNoO1hy6kMwj83ZzLSOnwtc5fDGZS8lZONhY0r1RHQNEKoyNJDdCCCGMVnNfZ355KhQ3RxsOX0xm9A+7uZpesQSnqEuqdxPPal+kU2hDkhshhBBGrZmPM0ueCsXd0Yajl1J4+IfdJFUgwVlT2CU1QBbKrDEkuRFCCGH0mng7sWR8KHVq2XA8NoWHvw8jMS37juediU/l3JV0bCwt6NPUsxoiFcZAkhshhBAmobGXE7+OD6VOLVtOxKXy8Pe7SbhDglPUJdW1oTtOdtZlHivMhyQ3QgghTEZDTzXB8XSy5eTlVB7+PowrqbdPcIq6pAa2kFlSNYkkN0IIIUxKQ89a/Do+FC9nW05dTmPU92HEp2bdctyFqxkcuZiChQ76NZfxNjWJJDdCCCFMTn2PWvw6vjPeznaciU9j1HdhxKeUTHDWHlWXW+hQz406tWy1CFNoRJIbIYQQJimojiO/jg/Fx8WOs1fSeei7MC7fkOCsPSJdUjWVJDdCCCFMVr06jiwd35m6rvacS1ATnLjkLK6kZrM3KgmAgVKVuMbRPLmZM2cOQUFB2NnZ0a5dO7Zt21bm8dnZ2bz22msEBgZia2tLgwYNmD9/fjVFK4QQwtgEuDvw6/hQ6rraE5mQzkPf7eLnsCgUBVr7uVDX1V7rEEU1s9Ly5kuXLmXq1KnMmTOHrl278u233zJ48GCOHTtGQEBAqec88MADXL58mXnz5tGwYUPi4+PJy8ur5siFEEIYE383NcEZ9X0Y5xMz+PK/04B0SdVUOkVRFK1u3qlTJ9q2bcvcuXOLX2vWrBkjRoxg5syZtxy/Zs0aHnroIc6dO4ebW+WWrE9JScHFxYXk5GScnZ0rHbsQQgjjc+FqBqO+DyMmKROADdN60tCzlsZRCX2oyO9vzbqlcnJy2L9/PwMGDCjx+oABA9i5c2ep56xcuZL27dvz8ccfU7duXRo3bswLL7xAZmZmdYQshBDCyPnVdmDp+M4E+7syrLWPJDY1lGbdUgkJCeTn5+PlVbL2gJeXF3FxcaWec+7cObZv346dnR3Lly8nISGBiRMnkpSUdNtxN9nZ2WRnXy/wlJKSor+HEEIIYXR8Xe35a1JXrcMQGtJ8QLFOpyvxvaIot7xWpKCgAJ1Ox+LFi+nYsSNDhgzhs88+Y+HChbdtvZk5cyYuLi7Fm7+/v96fQQghhBDGQ7Pkpk6dOlhaWt7SShMfH39La04RHx8f6tati4uLS/FrzZo1Q1EULly4UOo506dPJzk5uXiLiYnR30MIIYQQwuholtzY2NjQrl071q9fX+L19evX06VLl1LP6dq1K5cuXSItLa34tVOnTmFhYYGfn1+p59ja2uLs7FxiE0IIIYT50rRbatq0afzwww/Mnz+f48eP89xzzxEdHc2ECRMAtdVlzJgxxcc//PDDuLu789hjj3Hs2DG2bt3Kiy++yOOPP469vdQxEEIIIYTGdW4efPBBEhMTeeedd4iNjaVly5asXr2awMBAAGJjY4mOji4+vlatWqxfv55nnnmG9u3b4+7uzgMPPMB7772n1SMIIYQQwshoWudGC1LnRgghhDA9JlHnRgghhBDCECS5EUIIIYRZkeRGCCGEEGZFkhshhBBCmBVJboQQQghhViS5EUIIIYRZkeRGCCGEEGZFkhshhBBCmBVNKxRroahmYUpKisaRCCGEEKK8in5vl6f2cI1LblJTUwHw9/fXOBIhhBBCVFRqaiouLi5lHlPjll8oKCjg0qVLODk5odPp9HrtlJQU/P39iYmJMfulHWrSs0LNel55VvNVk55XntX8KIpCamoqvr6+WFiUPaqmxrXcWFhY4OfnZ9B7ODs7m/X/YDeqSc8KNet55VnNV016XnlW83KnFpsiMqBYCCGEEGZFkhshhBBCmBVJbvTI1taWN998E1tbW61DMbia9KxQs55XntV81aTnlWet2WrcgGIhhBBCmDdpuRFCCCGEWZHkRgghhBBmRZIbIYQQQpgVSW6EEEIIYVYkuamgOXPmEBQUhJ2dHe3atWPbtm1lHr9lyxbatWuHnZ0d9evX55tvvqmmSCtv5syZdOjQAScnJzw9PRkxYgQnT54s85zNmzej0+lu2U6cOFFNUVfeW2+9dUvc3t7eZZ5jip8rQL169Ur9nCZNmlTq8ab0uW7dupXhw4fj6+uLTqdjxYoVJd5XFIW33noLX19f7O3t6dWrF0ePHr3jdf/880+aN2+Ora0tzZs3Z/ny5QZ6goop63lzc3N5+eWXadWqFY6Ojvj6+jJmzBguXbpU5jUXLlxY6uedlZVl4Kcp250+23Hjxt0Sc2ho6B2va4yf7Z2etbTPR6fT8b///e+21zTWz9WQJLmpgKVLlzJ16lRee+01wsPD6d69O4MHDyY6OrrU4yMjIxkyZAjdu3cnPDycV199lSlTpvDnn39Wc+QVs2XLFiZNmkRYWBjr168nLy+PAQMGkJ6efsdzT548SWxsbPHWqFGjaoi46lq0aFEi7sOHD9/2WFP9XAH27t1b4jnXr18PwP3331/meabwuaanpxMcHMzs2bNLff/jjz/ms88+Y/bs2ezduxdvb2/69+9fvN5caXbt2sWDDz7Io48+ysGDB3n00Ud54IEH2L17t6Eeo9zKet6MjAwOHDjAG2+8wYEDB1i2bBmnTp3irrvuuuN1nZ2dS3zWsbGx2NnZGeIRyu1Ony3AoEGDSsS8evXqMq9prJ/tnZ715s9m/vz56HQ67r333jKva4yfq0Epotw6duyoTJgwocRrTZs2VV555ZVSj3/ppZeUpk2blnjt6aefVkJDQw0WoyHEx8crgLJly5bbHrNp0yYFUK5evVp9genJm2++qQQHB5f7eHP5XBVFUZ599lmlQYMGSkFBQanvm+rnCijLly8v/r6goEDx9vZWPvzww+LXsrKyFBcXF+Wbb7657XUeeOABZdCgQSVeGzhwoPLQQw/pPeaquPl5S7Nnzx4FUKKiom57zIIFCxQXFxf9BqdnpT3r2LFjlbvvvrtC1zGFz7Y8n+vdd9+t9OnTp8xjTOFz1TdpuSmnnJwc9u/fz4ABA0q8PmDAAHbu3FnqObt27brl+IEDB7Jv3z5yc3MNFqu+JScnA+Dm5nbHY0NCQvDx8aFv375s2rTJ0KHpzenTp/H19SUoKIiHHnqIc+fO3fZYc/lcc3JyWLRoEY8//vgdF5E11c+1SGRkJHFxcSU+N1tbW3r27Hnbn1+4/Wdd1jnGKjk5GZ1Oh6ura5nHpaWlERgYiJ+fH8OGDSM8PLx6AqyizZs34+npSePGjXnqqaeIj48v83hz+GwvX77MqlWreOKJJ+54rKl+rpUlyU05JSQkkJ+fj5eXV4nXvby8iIuLK/WcuLi4Uo/Py8sjISHBYLHqk6IoTJs2jW7dutGyZcvbHufj48N3333Hn3/+ybJly2jSpAl9+/Zl69at1Rht5XTq1ImffvqJtWvX8v333xMXF0eXLl1ITEws9Xhz+FwBVqxYwbVr1xg3btxtjzHlz/VGRT+jFfn5LTqvoucYo6ysLF555RUefvjhMhdWbNq0KQsXLmTlypUsWbIEOzs7unbtyunTp6sx2oobPHgwixcvZuPGjXz66afs3buXPn36kJ2dfdtzzOGz/fHHH3FycmLkyJFlHmeqn2tV1LhVwavq5r9wFUUp86/e0o4v7XVjNXnyZA4dOsT27dvLPK5JkyY0adKk+PvOnTsTExPDJ598Qo8ePQwdZpUMHjy4eL9Vq1Z07tyZBg0a8OOPPzJt2rRSzzH1zxVg3rx5DB48GF9f39seY8qfa2kq+vNb2XOMSW5uLg899BAFBQXMmTOnzGNDQ0NLDMTt2rUrbdu25auvvuLLL780dKiV9uCDDxbvt2zZkvbt2xMYGMiqVavK/MVv6p/t/PnzGT169B3Hzpjq51oV0nJTTnXq1MHS0vKWrD4+Pv6W7L+It7d3qcdbWVnh7u5usFj15ZlnnmHlypVs2rQJPz+/Cp8fGhpqkn8ZODo60qpVq9vGbuqfK0BUVBQbNmzgySefrPC5pvi5Fs1+q8jPb9F5FT3HmOTm5vLAAw8QGRnJ+vXry2y1KY2FhQUdOnQwuc/bx8eHwMDAMuM29c9227ZtnDx5slI/w6b6uVaEJDflZGNjQ7t27YpnlxRZv349Xbp0KfWczp0733L8unXraN++PdbW1gaLtaoURWHy5MksW7aMjRs3EhQUVKnrhIeH4+Pjo+foDC87O5vjx4/fNnZT/VxvtGDBAjw9PRk6dGiFzzXFzzUoKAhvb+8Sn1tOTg5btmy57c8v3P6zLuscY1GU2Jw+fZoNGzZUKvFWFIWIiAiT+7wTExOJiYkpM25T/mxBbXlt164dwcHBFT7XVD/XCtFqJLMp+vXXXxVra2tl3rx5yrFjx5SpU6cqjo6Oyvnz5xVFUZRXXnlFefTRR4uPP3funOLg4KA899xzyrFjx5R58+Yp1tbWyh9//KHVI5TL//3f/ykuLi7K5s2bldjY2OItIyOj+Jibn/Xzzz9Xli9frpw6dUo5cuSI8sorryiA8ueff2rxCBXy/PPPK5s3b1bOnTunhIWFKcOGDVOcnJzM7nMtkp+frwQEBCgvv/zyLe+Z8ueampqqhIeHK+Hh4QqgfPbZZ0p4eHjx7KAPP/xQcXFxUZYtW6YcPnxYGTVqlOLj46OkpKQUX+PRRx8tMftxx44diqWlpfLhhx8qx48fVz788EPFyspKCQsLq/bnu1lZz5ubm6vcddddip+fnxIREVHi5zg7O7v4Gjc/71tvvaWsWbNGOXv2rBIeHq489thjipWVlbJ7924tHrFYWc+ampqqPP/888rOnTuVyMhIZdOmTUrnzp2VunXrmuRne6f/jxVFUZKTkxUHBwdl7ty5pV7DVD5XQ5LkpoK+/vprJTAwULGxsVHatm1bYnr02LFjlZ49e5Y4fvPmzUpISIhiY2Oj1KtX77b/MxoToNRtwYIFxcfc/KwfffSR0qBBA8XOzk6pXbu20q1bN2XVqlXVH3wlPPjgg4qPj49ibW2t+Pr6KiNHjlSOHj1a/L65fK5F1q5dqwDKyZMnb3nPlD/XomnrN29jx45VFEWdDv7mm28q3t7eiq2trdKjRw/l8OHDJa7Rs2fP4uOL/P7770qTJk0Ua2trpWnTpkaT2JX1vJGRkbf9Od60aVPxNW5+3qlTpyoBAQGKjY2N4uHhoQwYMEDZuXNn9T/cTcp61oyMDGXAgAGKh4eHYm1trQQEBChjx45VoqOjS1zDVD7bO/1/rCiK8u233yr29vbKtWvXSr2GqXyuhqRTlMKRkEIIIYQQZkDG3AghhBDCrEhyI4QQQgizIsmNEEIIIcyKJDdCCCGEMCuS3AghhBDCrEhyI4QQQgizIsmNEEIIIcyKJDdCiBpJp9OxYsUKrcMQQhiAJDdCiGo3btw4dDrdLdugQYO0Dk0IYQastA5ACFEzDRo0iAULFpR4zdbWVqNohBDmRFpuhBCasLW1xdvbu8RWu3ZtQO0ymjt3LoMHD8be3p6goCB+//33EucfPnyYPn36YG9vj7u7O+PHjyctLa3EMfPnz6dFixbY2tri4+PD5MmTS7yfkJDAPffcg4ODA40aNWLlypXF7129epXRo0fj4eGBvb09jRo1uiUZE0IYJ0luhBBG6Y033uDee+/l4MGDPPLII4waNYrjx48DkJGRwaBBg6hduzZ79+7l999/Z8OGDSWSl7lz5zJp0iTGjx/P4cOHWblyJQ0bNixxj7fffpsHHniAQ4cOMWTIEEaPHk1SUlLx/Y8dO8a///7L8ePHmTt3LnXq1Km+/wBCiMrTeuVOIUTNM3bsWMXS8v/bu3eQZrIwjOPPZFVIhhSK98rKSwQtVCReCgkIKYRA7ESiXaIEGxtRNFiL2gkBOwMBCxuDCloGxELSqZ02ErQ0gmlytvggbHAv7upnvh3+Pxg4c07m8J5UDzNnmN+MbdsVx+bmpjHmx5fpo9FoxTXDw8MmFosZY4xJJpOmvr7eFAqF8ngmkzEul8vk83ljjDHt7e1mdXX1L2uQZNbW1srnhULBWJZlTk5OjDHGTE1Nmfn5+a9ZMIBvxZ4bAFUxMTGhvb29ir6GhoZy2+/3V4z5/X7lcjlJ0s3Njfr7+2Xbdnl8dHRUpVJJd3d3sixLj4+PCgQCf1tDX19fuW3btrxer56eniRJsVhM4XBY19fXmpycVCgU0sjIyH9aK4DvRbgBUBW2bb97TPRPLMuSJBljyu0/+43b7f7QfLW1te+uLZVKkqRgMKiHhwdlMhmdn58rEAhocXFRW1tb/6pmAN+PPTcAfkmXl5fvzru7uyVJPp9PuVxOr6+v5fFsNiuXy6XOzk55vV51dHTo4uLiUzU0NTVpbm5OBwcH2t3dVTKZ/NR8AL4Hd24AVEWxWFQ+n6/oq6mpKW/aPTw81ODgoMbGxpRKpXR1daX9/X1J0szMjDY2NhSJRJRIJPT8/Kx4PK7Z2Vm1tLRIkhKJhKLRqJqbmxUMBvXy8qJsNqt4PP6h+tbX1zUwMKDe3l4Vi0UdHx+rp6fnC/8BAD8L4QZAVZyenqqtra2ir6urS7e3t5J+vMmUTqe1sLCg1tZWpVIp+Xw+SZLH49HZ2ZmWlpY0NDQkj8ejcDis7e3t8lyRSERvb2/a2dnR8vKyGhsbNT09/eH66urqtLKyovv7e7ndbo2PjyudTn/BygH8bJYxxlS7CAD4I8uydHR0pFAoVO1SAPwPsecGAAA4CuEGAAA4CntuAPxyeFoO4DO4cwMAAByFcAMAAByFcAMAAByFcAMAAByFcAMAAByFcAMAAByFcAMAAByFcAMAAByFcAMAABzld21qNB8oL8toAAAAAElFTkSuQmCC\n",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Accuracy Plot\n",
    "plt.plot(history_1.history['accuracy'], label='Train Acc')\n",
    "plt.plot(history_1.history['val_accuracy'], label='Test Acc')\n",
    "plt.title('Model 1 Accuracy')\n",
    "plt.ylabel('Accuracy')\n",
    "plt.xlabel('Epochs')\n",
    "plt.legend()\n",
    "plt.show()\n",
    "\n",
    "# Loss Plot\n",
    "plt.plot(history_1.history['loss'], label='Train Loss')\n",
    "plt.plot(history_1.history['val_loss'], label='Test Loss')\n",
    "plt.title('Model 1 Loss')\n",
    "plt.ylabel('Loss')\n",
    "plt.xlabel('Epochs')\n",
    "plt.legend()\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "1d424c03",
   "metadata": {
    "papermill": {
     "duration": 0.374173,
     "end_time": "2023-04-22T19:59:15.693472",
     "exception": false,
     "start_time": "2023-04-22T19:59:15.319299",
     "status": "completed"
    },
    "tags": []
   },
   "source": [
    "# 2.2 Model 2 (Batch Size = 64, Dropout = 0, Optimizer = Adam)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "id": "3fccbbb3",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2023-04-22T19:59:16.508741Z",
     "iopub.status.busy": "2023-04-22T19:59:16.508021Z",
     "iopub.status.idle": "2023-04-22T19:59:21.345514Z",
     "shell.execute_reply": "2023-04-22T19:59:21.344418Z"
    },
    "papermill": {
     "duration": 5.221649,
     "end_time": "2023-04-22T19:59:21.348524",
     "exception": false,
     "start_time": "2023-04-22T19:59:16.126875",
     "status": "completed"
    },
    "tags": []
   },
   "outputs": [],
   "source": [
    "# define parameters and generate model\n",
    "batch_size = 64\n",
    "dropout = 0\n",
    "optimizer = 'Adam'\n",
    "\n",
    "model_2 = create_model(dropout)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "id": "7665c5d1",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2023-04-22T19:59:22.098831Z",
     "iopub.status.busy": "2023-04-22T19:59:22.098135Z",
     "iopub.status.idle": "2023-04-22T19:59:22.121566Z",
     "shell.execute_reply": "2023-04-22T19:59:22.120531Z"
    },
    "papermill": {
     "duration": 0.400069,
     "end_time": "2023-04-22T19:59:22.123979",
     "exception": false,
     "start_time": "2023-04-22T19:59:21.723910",
     "status": "completed"
    },
    "tags": []
   },
   "outputs": [],
   "source": [
    "# compile model\n",
    "model_2.compile(loss='categorical_crossentropy', optimizer=optimizer, metrics=['accuracy'])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "id": "dc0f9b52",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2023-04-22T19:59:22.942920Z",
     "iopub.status.busy": "2023-04-22T19:59:22.942194Z",
     "iopub.status.idle": "2023-04-22T20:29:38.861658Z",
     "shell.execute_reply": "2023-04-22T20:29:38.860453Z"
    },
    "papermill": {
     "duration": 1816.307279,
     "end_time": "2023-04-22T20:29:38.864360",
     "exception": false,
     "start_time": "2023-04-22T19:59:22.557081",
     "status": "completed"
    },
    "tags": []
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Epoch 1/20\n",
      "665/665 [==============================] - 191s 130ms/step - loss: 2.0251 - accuracy: 0.2089 - val_loss: 2.0658 - val_accuracy: 0.2433\n",
      "Epoch 2/20\n",
      "665/665 [==============================] - 83s 125ms/step - loss: 1.6683 - accuracy: 0.3493 - val_loss: 1.8199 - val_accuracy: 0.3491\n",
      "Epoch 3/20\n",
      "665/665 [==============================] - 85s 127ms/step - loss: 1.6479 - accuracy: 0.3760 - val_loss: 1.7506 - val_accuracy: 0.3429\n",
      "Epoch 4/20\n",
      "665/665 [==============================] - 83s 126ms/step - loss: 1.5586 - accuracy: 0.4182 - val_loss: 3.6407 - val_accuracy: 0.2348\n",
      "Epoch 5/20\n",
      "665/665 [==============================] - 85s 127ms/step - loss: 1.4859 - accuracy: 0.4541 - val_loss: 2.2131 - val_accuracy: 0.3893\n",
      "Epoch 6/20\n",
      "665/665 [==============================] - 85s 127ms/step - loss: 1.3752 - accuracy: 0.5034 - val_loss: 2.2294 - val_accuracy: 0.2935\n",
      "Epoch 7/20\n",
      "665/665 [==============================] - 85s 128ms/step - loss: 1.3576 - accuracy: 0.5094 - val_loss: 1.5377 - val_accuracy: 0.4392\n",
      "Epoch 8/20\n",
      "665/665 [==============================] - 84s 126ms/step - loss: 1.3116 - accuracy: 0.5285 - val_loss: 1.6318 - val_accuracy: 0.4265\n",
      "Epoch 9/20\n",
      "665/665 [==============================] - 85s 128ms/step - loss: 1.3990 - accuracy: 0.4968 - val_loss: 3.7743 - val_accuracy: 0.3231\n",
      "Epoch 10/20\n",
      "665/665 [==============================] - 84s 127ms/step - loss: 1.4097 - accuracy: 0.4916 - val_loss: 1.8080 - val_accuracy: 0.3916\n",
      "Epoch 11/20\n",
      "665/665 [==============================] - 85s 128ms/step - loss: 1.3977 - accuracy: 0.4987 - val_loss: 228.3578 - val_accuracy: 0.0953\n",
      "Epoch 12/20\n",
      "665/665 [==============================] - 84s 126ms/step - loss: 1.4891 - accuracy: 0.4520 - val_loss: 1.2539 - val_accuracy: 0.5529\n",
      "Epoch 13/20\n",
      "665/665 [==============================] - 84s 127ms/step - loss: 1.2096 - accuracy: 0.5697 - val_loss: 1.1493 - val_accuracy: 0.5944\n",
      "Epoch 14/20\n",
      "665/665 [==============================] - 84s 126ms/step - loss: 1.0867 - accuracy: 0.6131 - val_loss: 1.1572 - val_accuracy: 0.5836\n",
      "Epoch 15/20\n",
      "665/665 [==============================] - 84s 127ms/step - loss: 0.9996 - accuracy: 0.6480 - val_loss: 1.0108 - val_accuracy: 0.6485\n",
      "Epoch 16/20\n",
      "665/665 [==============================] - 85s 128ms/step - loss: 1.0397 - accuracy: 0.6348 - val_loss: 1.0494 - val_accuracy: 0.6439\n",
      "Epoch 17/20\n",
      "665/665 [==============================] - 84s 126ms/step - loss: 1.1142 - accuracy: 0.6067 - val_loss: 1.3401 - val_accuracy: 0.5625\n",
      "Epoch 18/20\n",
      "665/665 [==============================] - 84s 126ms/step - loss: 1.3057 - accuracy: 0.5373 - val_loss: 1.1546 - val_accuracy: 0.5901\n",
      "Epoch 19/20\n",
      "665/665 [==============================] - 84s 127ms/step - loss: 1.1880 - accuracy: 0.5808 - val_loss: 1.5717 - val_accuracy: 0.4459\n",
      "Epoch 20/20\n",
      "665/665 [==============================] - 85s 128ms/step - loss: 1.1470 - accuracy: 0.5941 - val_loss: 1.2188 - val_accuracy: 0.5700\n"
     ]
    }
   ],
   "source": [
    "# train model\n",
    "history_2 = model_2.fit(X_train, y_train, validation_split=0.15, \n",
    "            batch_size=batch_size, epochs=epochs, verbose=1)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "id": "0c815d1d",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2023-04-22T20:29:41.161459Z",
     "iopub.status.busy": "2023-04-22T20:29:41.160954Z",
     "iopub.status.idle": "2023-04-22T20:30:02.047315Z",
     "shell.execute_reply": "2023-04-22T20:30:02.046131Z"
    },
    "papermill": {
     "duration": 22.040055,
     "end_time": "2023-04-22T20:30:02.049755",
     "exception": false,
     "start_time": "2023-04-22T20:29:40.009700",
     "status": "completed"
    },
    "tags": []
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Train Loss: 1.147019624710083\n",
      "Train Acc: 0.5940706133842468\n",
      "\n",
      "Test Loss: 1.2184745073318481\n",
      "Test Acc: 0.5698999762535095\n"
     ]
    }
   ],
   "source": [
    "# train model results\n",
    "print('Train Loss:', history_2.history['loss'][-1])\n",
    "print('Train Acc:', history_2.history['accuracy'][-1])\n",
    "\n",
    "\n",
    "# validation results\n",
    "val_loss, val_acc = model_2.evaluate(X_test, y_test, verbose=0)\n",
    "\n",
    "print('\\nTest Loss:', val_loss)\n",
    "print('Test Acc:', val_acc)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "id": "6986ad88",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2023-04-22T20:30:04.304556Z",
     "iopub.status.busy": "2023-04-22T20:30:04.303492Z",
     "iopub.status.idle": "2023-04-22T20:30:04.745246Z",
     "shell.execute_reply": "2023-04-22T20:30:04.744225Z"
    },
    "papermill": {
     "duration": 1.60689,
     "end_time": "2023-04-22T20:30:04.747654",
     "exception": false,
     "start_time": "2023-04-22T20:30:03.140764",
     "status": "completed"
    },
    "tags": []
   },
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Accuracy Plot\n",
    "plt.plot(history_2.history['accuracy'], label='Train Acc')\n",
    "plt.plot(history_2.history['val_accuracy'], label='Test Acc')\n",
    "plt.title('Model 2 Accuracy')\n",
    "plt.ylabel('Accuracy')\n",
    "plt.xlabel('Epochs')\n",
    "plt.legend()\n",
    "plt.show()\n",
    "\n",
    "# Loss Plot\n",
    "plt.plot(history_2.history['loss'], label='Train Loss')\n",
    "plt.plot(history_2.history['val_loss'], label='Test Loss')\n",
    "plt.title('Model 2 Loss')\n",
    "plt.ylabel('Loss')\n",
    "plt.xlabel('Epochs')\n",
    "plt.legend()\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "00f1ce8f",
   "metadata": {
    "papermill": {
     "duration": 1.162062,
     "end_time": "2023-04-22T20:30:07.152829",
     "exception": false,
     "start_time": "2023-04-22T20:30:05.990767",
     "status": "completed"
    },
    "tags": []
   },
   "source": [
    "# 2.3 Model 3 (Batch Size = 64, Dropout = 0.4, Optimizer = Adam)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "id": "d09aed12",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2023-04-22T20:30:09.394441Z",
     "iopub.status.busy": "2023-04-22T20:30:09.393367Z",
     "iopub.status.idle": "2023-04-22T20:30:14.074381Z",
     "shell.execute_reply": "2023-04-22T20:30:14.072713Z"
    },
    "papermill": {
     "duration": 5.834798,
     "end_time": "2023-04-22T20:30:14.077961",
     "exception": false,
     "start_time": "2023-04-22T20:30:08.243163",
     "status": "completed"
    },
    "tags": []
   },
   "outputs": [],
   "source": [
    "# define parameters and generate model\n",
    "batch_size = 64\n",
    "dropout = 0.4\n",
    "optimizer = 'Adam'\n",
    "\n",
    "model_3 = create_model(dropout)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "id": "6d175564",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2023-04-22T20:30:17.065209Z",
     "iopub.status.busy": "2023-04-22T20:30:17.064518Z",
     "iopub.status.idle": "2023-04-22T20:30:17.087512Z",
     "shell.execute_reply": "2023-04-22T20:30:17.086459Z"
    },
    "papermill": {
     "duration": 1.314829,
     "end_time": "2023-04-22T20:30:17.089823",
     "exception": false,
     "start_time": "2023-04-22T20:30:15.774994",
     "status": "completed"
    },
    "tags": []
   },
   "outputs": [],
   "source": [
    "# compile model\n",
    "model_3.compile(loss='categorical_crossentropy', optimizer=optimizer, metrics=['accuracy'])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "id": "ade9b79b",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2023-04-22T20:30:19.346294Z",
     "iopub.status.busy": "2023-04-22T20:30:19.345547Z",
     "iopub.status.idle": "2023-04-22T21:00:42.751850Z",
     "shell.execute_reply": "2023-04-22T21:00:42.750582Z"
    },
    "papermill": {
     "duration": 1826.289228,
     "end_time": "2023-04-22T21:00:44.539534",
     "exception": false,
     "start_time": "2023-04-22T20:30:18.250306",
     "status": "completed"
    },
    "tags": []
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Epoch 1/20\n",
      "665/665 [==============================] - 190s 132ms/step - loss: 2.0966 - accuracy: 0.1750 - val_loss: 2.7845 - val_accuracy: 0.1560\n",
      "Epoch 2/20\n",
      "665/665 [==============================] - 86s 129ms/step - loss: 1.8420 - accuracy: 0.2632 - val_loss: 2.4276 - val_accuracy: 0.2153\n",
      "Epoch 3/20\n",
      "665/665 [==============================] - 85s 127ms/step - loss: 1.7257 - accuracy: 0.3243 - val_loss: 1.6308 - val_accuracy: 0.3808\n",
      "Epoch 4/20\n",
      "665/665 [==============================] - 86s 129ms/step - loss: 1.4835 - accuracy: 0.4371 - val_loss: 1.4358 - val_accuracy: 0.4632\n",
      "Epoch 5/20\n",
      "665/665 [==============================] - 85s 128ms/step - loss: 1.3545 - accuracy: 0.5076 - val_loss: 1.4608 - val_accuracy: 0.4988\n",
      "Epoch 6/20\n",
      "665/665 [==============================] - 86s 129ms/step - loss: 1.2237 - accuracy: 0.5645 - val_loss: 1.4243 - val_accuracy: 0.5349\n",
      "Epoch 7/20\n",
      "665/665 [==============================] - 86s 130ms/step - loss: 1.1260 - accuracy: 0.6158 - val_loss: 1.3374 - val_accuracy: 0.5535\n",
      "Epoch 8/20\n",
      "665/665 [==============================] - 86s 130ms/step - loss: 1.0311 - accuracy: 0.6485 - val_loss: 1.3431 - val_accuracy: 0.5737\n",
      "Epoch 9/20\n",
      "665/665 [==============================] - 85s 128ms/step - loss: 0.9518 - accuracy: 0.6777 - val_loss: 1.5679 - val_accuracy: 0.5380\n",
      "Epoch 10/20\n",
      "665/665 [==============================] - 86s 129ms/step - loss: 0.9997 - accuracy: 0.6620 - val_loss: 1.5206 - val_accuracy: 0.5041\n",
      "Epoch 11/20\n",
      "665/665 [==============================] - 86s 130ms/step - loss: 0.8334 - accuracy: 0.7189 - val_loss: 1.0880 - val_accuracy: 0.6489\n",
      "Epoch 12/20\n",
      "665/665 [==============================] - 86s 129ms/step - loss: 0.7745 - accuracy: 0.7416 - val_loss: 2.0148 - val_accuracy: 0.4547\n",
      "Epoch 13/20\n",
      "665/665 [==============================] - 87s 131ms/step - loss: 0.7465 - accuracy: 0.7545 - val_loss: 1.2031 - val_accuracy: 0.6244\n",
      "Epoch 14/20\n",
      "665/665 [==============================] - 87s 131ms/step - loss: 0.6830 - accuracy: 0.7748 - val_loss: 1.2079 - val_accuracy: 0.6303\n",
      "Epoch 15/20\n",
      "665/665 [==============================] - 86s 129ms/step - loss: 0.7877 - accuracy: 0.7417 - val_loss: 1.2678 - val_accuracy: 0.6117\n",
      "Epoch 16/20\n",
      "665/665 [==============================] - 85s 129ms/step - loss: 0.6208 - accuracy: 0.7969 - val_loss: 1.0020 - val_accuracy: 0.6948\n",
      "Epoch 17/20\n",
      "665/665 [==============================] - 86s 129ms/step - loss: 0.5477 - accuracy: 0.8200 - val_loss: 1.6068 - val_accuracy: 0.4685\n",
      "Epoch 18/20\n",
      "665/665 [==============================] - 86s 129ms/step - loss: 0.5117 - accuracy: 0.8342 - val_loss: 1.1945 - val_accuracy: 0.6807\n",
      "Epoch 19/20\n",
      "665/665 [==============================] - 87s 131ms/step - loss: 0.4724 - accuracy: 0.8478 - val_loss: 1.7408 - val_accuracy: 0.6037\n",
      "Epoch 20/20\n",
      "665/665 [==============================] - 86s 129ms/step - loss: 0.6855 - accuracy: 0.7776 - val_loss: 2.0177 - val_accuracy: 0.5499\n"
     ]
    }
   ],
   "source": [
    "# train model\n",
    "history_3 = model_3.fit(X_train, y_train, validation_split=0.15, \n",
    "            batch_size=batch_size, epochs=epochs, verbose=1)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "id": "81423bcb",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2023-04-22T21:00:48.396407Z",
     "iopub.status.busy": "2023-04-22T21:00:48.395300Z",
     "iopub.status.idle": "2023-04-22T21:00:59.049175Z",
     "shell.execute_reply": "2023-04-22T21:00:59.047721Z"
    },
    "papermill": {
     "duration": 12.541181,
     "end_time": "2023-04-22T21:00:59.051466",
     "exception": false,
     "start_time": "2023-04-22T21:00:46.510285",
     "status": "completed"
    },
    "tags": []
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Train Loss: 0.685459315776825\n",
      "Train Acc: 0.7775999903678894\n",
      "\n",
      "Test Loss: 2.033031940460205\n",
      "Test Acc: 0.5443000197410583\n"
     ]
    }
   ],
   "source": [
    "# train model results\n",
    "print('Train Loss:', history_3.history['loss'][-1])\n",
    "print('Train Acc:', history_3.history['accuracy'][-1])\n",
    "\n",
    "\n",
    "# validation results\n",
    "val_loss, val_acc = model_3.evaluate(X_test, y_test, verbose=0)\n",
    "\n",
    "print('\\nTest Loss:', val_loss)\n",
    "print('Test Acc:', val_acc)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 25,
   "id": "1cbe7e8c",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2023-04-22T21:01:03.252245Z",
     "iopub.status.busy": "2023-04-22T21:01:03.251851Z",
     "iopub.status.idle": "2023-04-22T21:01:03.699607Z",
     "shell.execute_reply": "2023-04-22T21:01:03.698623Z"
    },
    "papermill": {
     "duration": 2.86014,
     "end_time": "2023-04-22T21:01:03.701738",
     "exception": false,
     "start_time": "2023-04-22T21:01:00.841598",
     "status": "completed"
    },
    "tags": []
   },
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Accuracy Plot\n",
    "plt.plot(history_3.history['accuracy'], label='Train Acc')\n",
    "plt.plot(history_3.history['val_accuracy'], label='Test Acc')\n",
    "plt.title('Model 3 Accuracy')\n",
    "plt.ylabel('Accuracy')\n",
    "plt.xlabel('Epochs')\n",
    "plt.legend()\n",
    "plt.show()\n",
    "\n",
    "# Loss Plot\n",
    "plt.plot(history_3.history['loss'], label='Train Loss')\n",
    "plt.plot(history_3.history['val_loss'], label='Test Loss')\n",
    "plt.title('Model 3 Loss')\n",
    "plt.ylabel('Loss')\n",
    "plt.xlabel('Epochs')\n",
    "plt.legend()\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "69423460",
   "metadata": {
    "papermill": {
     "duration": 1.895354,
     "end_time": "2023-04-22T21:01:07.583192",
     "exception": false,
     "start_time": "2023-04-22T21:01:05.687838",
     "status": "completed"
    },
    "tags": []
   },
   "source": [
    "# 2.4 Model 4 (Batch Size = 128, Dropout = 0, Optimizer = SGD)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 26,
   "id": "811048f1",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2023-04-22T21:01:11.336304Z",
     "iopub.status.busy": "2023-04-22T21:01:11.335270Z",
     "iopub.status.idle": "2023-04-22T21:01:16.056330Z",
     "shell.execute_reply": "2023-04-22T21:01:16.055289Z"
    },
    "papermill": {
     "duration": 6.678398,
     "end_time": "2023-04-22T21:01:16.059105",
     "exception": false,
     "start_time": "2023-04-22T21:01:09.380707",
     "status": "completed"
    },
    "tags": []
   },
   "outputs": [],
   "source": [
    "# define parameters and generate model\n",
    "batch_size = 128\n",
    "dropout = 0\n",
    "optimizer = 'SGD'\n",
    "\n",
    "model_4 = create_model(dropout)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 27,
   "id": "90cb4476",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2023-04-22T21:01:19.804082Z",
     "iopub.status.busy": "2023-04-22T21:01:19.803528Z",
     "iopub.status.idle": "2023-04-22T21:01:19.829112Z",
     "shell.execute_reply": "2023-04-22T21:01:19.828165Z"
    },
    "papermill": {
     "duration": 1.855459,
     "end_time": "2023-04-22T21:01:19.831497",
     "exception": false,
     "start_time": "2023-04-22T21:01:17.976038",
     "status": "completed"
    },
    "tags": []
   },
   "outputs": [],
   "source": [
    "# compile model\n",
    "model_4.compile(loss='categorical_crossentropy', optimizer=optimizer, metrics=['accuracy'])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 28,
   "id": "1f1e8a3e",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2023-04-22T21:01:23.713765Z",
     "iopub.status.busy": "2023-04-22T21:01:23.712748Z",
     "iopub.status.idle": "2023-04-22T21:17:23.868705Z",
     "shell.execute_reply": "2023-04-22T21:17:23.867557Z"
    },
    "papermill": {
     "duration": 962.073511,
     "end_time": "2023-04-22T21:17:23.871627",
     "exception": false,
     "start_time": "2023-04-22T21:01:21.798116",
     "status": "completed"
    },
    "tags": []
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Epoch 1/20\n",
      "333/333 [==============================] - 93s 142ms/step - loss: 2.1124 - accuracy: 0.2100 - val_loss: 417935136.0000 - val_accuracy: 0.0999\n",
      "Epoch 2/20\n",
      "333/333 [==============================] - 44s 132ms/step - loss: 1.8825 - accuracy: 0.3012 - val_loss: 13.1959 - val_accuracy: 0.1007\n",
      "Epoch 3/20\n",
      "333/333 [==============================] - 44s 132ms/step - loss: 1.7281 - accuracy: 0.3577 - val_loss: 6.2392 - val_accuracy: 0.1327\n",
      "Epoch 4/20\n",
      "333/333 [==============================] - 44s 131ms/step - loss: 1.6148 - accuracy: 0.4068 - val_loss: 2.8603 - val_accuracy: 0.1184\n",
      "Epoch 5/20\n",
      "333/333 [==============================] - 44s 132ms/step - loss: 1.5221 - accuracy: 0.4390 - val_loss: 2.4571 - val_accuracy: 0.1824\n",
      "Epoch 6/20\n",
      "333/333 [==============================] - 44s 132ms/step - loss: 1.4328 - accuracy: 0.4763 - val_loss: 6.8479 - val_accuracy: 0.1800\n",
      "Epoch 7/20\n",
      "333/333 [==============================] - 45s 134ms/step - loss: 1.4300 - accuracy: 0.4799 - val_loss: 2.2504 - val_accuracy: 0.2703\n",
      "Epoch 8/20\n",
      "333/333 [==============================] - 44s 132ms/step - loss: 1.3195 - accuracy: 0.5217 - val_loss: 2.3145 - val_accuracy: 0.2173\n",
      "Epoch 9/20\n",
      "333/333 [==============================] - 44s 132ms/step - loss: 1.2895 - accuracy: 0.5340 - val_loss: 2.6860 - val_accuracy: 0.2195\n",
      "Epoch 10/20\n",
      "333/333 [==============================] - 45s 135ms/step - loss: 1.2364 - accuracy: 0.5569 - val_loss: 2.4481 - val_accuracy: 0.2453\n",
      "Epoch 11/20\n",
      "333/333 [==============================] - 44s 132ms/step - loss: 1.1645 - accuracy: 0.5836 - val_loss: 2.8428 - val_accuracy: 0.2615\n",
      "Epoch 12/20\n",
      "333/333 [==============================] - 44s 133ms/step - loss: 1.1111 - accuracy: 0.6039 - val_loss: 2.1175 - val_accuracy: 0.3559\n",
      "Epoch 13/20\n",
      "333/333 [==============================] - 45s 134ms/step - loss: 1.0480 - accuracy: 0.6265 - val_loss: 4.2737 - val_accuracy: 0.2484\n",
      "Epoch 14/20\n",
      "333/333 [==============================] - 44s 132ms/step - loss: 1.0548 - accuracy: 0.6255 - val_loss: 1.6385 - val_accuracy: 0.4281\n",
      "Epoch 15/20\n",
      "333/333 [==============================] - 44s 132ms/step - loss: 0.9399 - accuracy: 0.6684 - val_loss: 2.5183 - val_accuracy: 0.3485\n",
      "Epoch 16/20\n",
      "333/333 [==============================] - 45s 134ms/step - loss: 0.8882 - accuracy: 0.6875 - val_loss: 1.6376 - val_accuracy: 0.4801\n",
      "Epoch 17/20\n",
      "333/333 [==============================] - 44s 132ms/step - loss: 0.7980 - accuracy: 0.7185 - val_loss: 2.0656 - val_accuracy: 0.4073\n",
      "Epoch 18/20\n",
      "333/333 [==============================] - 44s 132ms/step - loss: 0.7716 - accuracy: 0.7297 - val_loss: 3.9151 - val_accuracy: 0.3181\n",
      "Epoch 19/20\n",
      "333/333 [==============================] - 45s 135ms/step - loss: 0.7324 - accuracy: 0.7443 - val_loss: 3.0334 - val_accuracy: 0.2976\n",
      "Epoch 20/20\n",
      "333/333 [==============================] - 44s 132ms/step - loss: 0.7782 - accuracy: 0.7281 - val_loss: 2.6055 - val_accuracy: 0.3087\n"
     ]
    }
   ],
   "source": [
    "# train model\n",
    "history_4 = model_4.fit(X_train, y_train, validation_split=0.15, \n",
    "            batch_size=batch_size, epochs=epochs, verbose=1)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 29,
   "id": "7c4c4301",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2023-04-22T21:17:28.481374Z",
     "iopub.status.busy": "2023-04-22T21:17:28.480977Z",
     "iopub.status.idle": "2023-04-22T21:17:38.914691Z",
     "shell.execute_reply": "2023-04-22T21:17:38.913468Z"
    },
    "papermill": {
     "duration": 12.695591,
     "end_time": "2023-04-22T21:17:38.917061",
     "exception": false,
     "start_time": "2023-04-22T21:17:26.221470",
     "status": "completed"
    },
    "tags": []
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Train Loss: 0.7782303094863892\n",
      "Train Acc: 0.728141188621521\n",
      "\n",
      "Test Loss: 2.670790910720825\n",
      "Test Acc: 0.3012000024318695\n"
     ]
    }
   ],
   "source": [
    "# train model results\n",
    "print('Train Loss:', history_4.history['loss'][-1])\n",
    "print('Train Acc:', history_4.history['accuracy'][-1])\n",
    "\n",
    "\n",
    "# validation results\n",
    "val_loss, val_acc = model_4.evaluate(X_test, y_test, verbose=0)\n",
    "\n",
    "print('\\nTest Loss:', val_loss)\n",
    "print('Test Acc:', val_acc)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 30,
   "id": "396f9887",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2023-04-22T21:17:43.578061Z",
     "iopub.status.busy": "2023-04-22T21:17:43.577584Z",
     "iopub.status.idle": "2023-04-22T21:17:44.144347Z",
     "shell.execute_reply": "2023-04-22T21:17:44.143266Z"
    },
    "papermill": {
     "duration": 2.995142,
     "end_time": "2023-04-22T21:17:44.147518",
     "exception": false,
     "start_time": "2023-04-22T21:17:41.152376",
     "status": "completed"
    },
    "tags": []
   },
   "outputs": [
    {
     "data": {
      "image/png": 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tDdb7580332T69OksWLAAW1tbMjIyCAkJ4c0338TZ2ZlVq1YxbNgwgoODCQsLu+txpk+fzvvvv89bb73Fb7/9xvPPP0+7du2oU6fOXfdZsmQJtWvXpnbt2gwdOpSXXnqJd955J//aVq1aRb9+/Xj77bf54YcfyMrKYtWqVfn7P/nkk2zfvp3PP/+cxo0bc+7cOeLj4w3yfRFCCFN1PT2Lf4/F8feRWDadukpWjr7A9nXH41h3PA5HG0seqe9N76ZVaV3dHStL46/3kOTmHm5k51Lv3bWanDty8iM42BjmFo0dO7ZAbQjAa6+9lr/80ksv8ffff7N06dJik5vu3bvzwgsvAGrCNGPGDDZs2FBscjNv3jyGDh0KQNeuXUlNTWXdunU89NBDAHz44YcMHjyYSZMm5e/TuHFjAE6ePMmvv/5KREREfvng4ODSXLoQQpiNuOQM1kZeYe2RWLafTSBXr+RvC3R3oGsDH7o28MbRxpKVBy/z+4FLXEi8wfL9l1i+/xIelWzo2ciX3k18aeJX2WiH15DkxkyEhoYWeJ+bm8vUqVNZsmQJly5dIjMzk8zMTBwdHYs9TqNGjfKX8x5/5U15UJQTJ06wa9culi9fDoCVlRWDBg1i/vz5+cnKgQMHeOaZZ4rc/8CBA1haWtK+ffsSXacQQpibC4np/H0klr+PxrIv+hrKrXyGOt5OdG3gTbcGPtTyqlQgWXm1S23GPVyLfdHX+ePAJf46FEN8ahYLt0WxcFsUAe4O9G7sS++mValepZIGV3b/JLm5B3trSyInP6LZuQ3lzqRl+vTpzJgxg5kzZ9KwYUMcHR0ZO3YsWVlZxR7nzobIOp0OvV5/l9JqrU1OTg5Vq1bNX6coCtbW1ly7dg1XV9dCDZ5vV9w2IYQwR4qicDoulb+PxLLmSCyRMckFtjf1r0zX+t48Ut+bQI/i/2HV6XSEBLgSEuDKOz3rseV0PH/sv8Q/kVc4n5DO5/+d5vP/TtOwqgu9m/jyaGNfvJztyvLyDEKSm3vQ6XQGezRUkWzevJnevXvnPy7S6/WcOnWKunXrGuwcOTk5LFq0iOnTp9OlS5cC2/r3789PP/3Eiy++SKNGjVi3bh1PPfVUoWM0bNgQvV7Pxo0b82t6hBDC3CiKwuFLSfk1NGevpuVvs7TQERbkRtcG3nSp5423y/0lH9aWFnSs7UnH2p6kZ+UQEXmF3/dfYtOpeA5fSuLwpSQ+Wn2M8Oru9G5Sla4NvHG2u3fPWy2Y3qe2KJEaNWqwbNkytm3bhqurK5999hmxsbEGTW7++usvrl27xqhRo3BxcSmwbcCAAcybN48XX3yR9957j86dO1O9enUGDx5MTk4Oa9as4Y033iAwMJDhw4czcuTI/AbF58+fJy4ujoEDBxosViGEqGhy9Qp7ohL5+2gsa4/EcjkpI3+bjaUFbWt68EgDbx6q64Wbo41Bz+1gY0XvJlXp3aQqCamZrD4cw+8HLrP3/DW2nk5g6+kE/vf7ETrX8aR3k6p0rFMFW6uK07Vckhsz9c4773Du3DkeeeQRHBwcePbZZ+nTpw9JSUkGO8e8efN46KGHCiU2oNbcfPTRR+zbt48OHTqwdOlS3n//faZOnYqzszPt2rXLLztnzhzeeustXnjhBRISEvD39+ett94yWJxCCFFRxKdmsutcIptPXeWfo1dISLvVVMDBxpKOdTzpWt+bDrWr4FROtSbulWwZFh7IsPBALiSm88eBS/x+4DKn41JZc/PRmLOdFd0b+tCriS8tg9yxsNC2IbJOUW5vemT6kpOTcXFxISkpCWdn5wLbMjIyOHfuHEFBQdjZVfxniqIwuYdCCGMSl5zBjnOJ7DybwM5ziZyOSy2w3cXemofqetG1gTdta3pgZ8C2mA9CURQiY5L548BlVh64TGzyrVolb2c7ejXx5ZXONXG0NVwdSnGf33eSmhshhBCinFy6fkNNZM4msvNcAlEJ6YXK1PF2omWwOw/V9SIs2A3rCjjujE6no76vC/V9XXizax12nktg5YHLrDocQ2xyBr/vv8SbXe8+REhZk+RGCCGEKAOKohCdmH4zkVGTmYvXbhQoY6GDer7OhAW50yLIjRaBbrgauP1MWbO00NGqugetqnswqXd91h+/SlpmDpYaPpqS5EYIIYQwAEVROBufll8rs/NsYoHHNaAmAg2qutAyyI2wYDdCA90qbI+j+2FrZUnXBt5ahyHJjRBCCHE/9HqFU3Gp+YnMznOJxKdmFihjbamjcbXKtAhyIyzYnZAAVyoZsB2KKJp8h4UQQohSOB2Xyox/T7LtdDzX0rMLbLOxsqCpX2XCgt1pGeRGU39Xk559u6KS5EYIIYQoAb1eYcG2KD75+ziZNyehtLe2JCTAVa2ZCXKjsV/lCtOjyZxJciOEEELcw4XEdF5bepCd5xIBaFvTg7EP1aRh1crYWFW83kzmTpIbIYQQ4i4URWHJ7gu8/1ckaVm52Ftb8laPugwN8zfaGbPNgSQ3QgghRBGuJGcwftkh1p+4CkDzQFc+fawxAe7FT0YptCfJjRBCCHEbRVFYefAy7/5xlKQb2dhYWfB6l9qMbBOk6dgtouTkQaEJ0Ol0xb5GjBhx38cODAxk5syZJS7/0UcfYWlpydSpU+/7nEIIoZXEtCzG/LyPV345QNKNbBpWdeGvl9rwTLtgSWyMiObJzezZs/PnAQoJCWHz5s13LTtixIgiP7zr169fjhFXPDExMfmvmTNn4uzsXGDdrFmzyi2WBQsW8MYbbzB//vxyO6cQQhhCROQVuszYyOrDsVhZ6Bj7UE2Wv9CKWl5OWocmSknT5GbJkiWMHTuWt99+m/3799O2bVu6detGdHR0keVnzZpV4EP7woULuLm58dhjj5Vz5BWLt7d3/svFxQWdTldg3aZNmwgJCcHOzo7g4GAmTZpETk5O/v4TJ07E398fW1tbfH19efnllwHo0KED58+f5//+7//yE8nibNy4kRs3bjB58mTS0tLYtGlTge16vZ6PP/6YGjVqYGtri7+/Px9++GH+9osXLzJ48GDc3NxwdHQkNDSUnTt3GvA7JYQQhSVnZPPa0oM8s2gP8alZ1PSsxIoXWjP2oVoVcl4ncW+atrn57LPPGDVqFE8//TQAM2fOZO3atcyZM4cpU6YUKu/i4oKLi0v++99//51r167x1FNPlV2QigLZhSc2KxfWDvCArfHXrl3L0KFD+fzzz2nbti1nzpzh2WefBeC9997jt99+Y8aMGfzyyy/Ur1+f2NhYDh48CMDy5ctp3Lgxzz77LM8888w9zzVv3jyGDBmCtbU1Q4YMYd68ebRr1y5/+4QJE/j222+ZMWMGbdq0ISYmhuPHjwOQmppK+/btqVq1KitXrsTb25t9+/ah1+sf6PqFEKI4W07F88ZvB7mclIFOB8+2Deb/Hq4lY9UYOc2Sm6ysLPbu3cv48eMLrO/SpQvbtm0r0THmzZvHQw89REBAwF3LZGZmkpl5azjs5OTk0gWanQ4f+ZZuH0N56zLYPFir/A8//JDx48czfPhwAIKDg3n//fd54403eO+994iOjsbb25uHHnoIa2tr/P39adGiBQBubm5YWlri5OSEt3fxc4UkJyezbNmy/Hs3dOhQWrduzRdffIGzszMpKSnMmjWLL7/8Mj+W6tWr06ZNGwB+/vlnrl69yu7du3FzcwOgRo0aD3TtQghxN+lZOUxdc5xF288DEODuwPTHGhMa6KZxZMIQNKtvi4+PJzc3Fy8vrwLrvby8iI2Nvef+MTExrFmzJr/W526mTJmSX+Pj4uKCn5/fA8VtbPbu3cvkyZOpVKlS/uuZZ54hJiaG9PR0HnvsMW7cuEFwcDDPPPMMK1asKPDIqqR+/vlngoODady4MQBNmjQhODiYX375BYBjx46RmZlJ586di9z/wIEDNG3aND+xEUKIsrL3fCLdZ23OT2yGtQxg9cttJbExIZp3Bb+zHYeiKCUaGGnhwoVUrlyZPn36FFtuwoQJjBs3Lv99cnJy6RIcawe1BkUL1g4PfAi9Xs+kSZPo169foW12dnb4+flx4sQJIiIi+Pfff3nhhReYNm0aGzduxNq65DPVzp8/n6NHj2JldetHSq/XM2/ePJ599lns7e2L3f9e24UQ4kFlZOcy49+TfLvpLHoFfFzs+Lh/I9rVqqJ1aMLANEtuPDw8sLS0LFRLExcXV6g2506KojB//nyGDRuGjY1NsWVtbW2xtbW9/0B1ugd+NKSlZs2aceLEiWIf8djb29OrVy969erFmDFjqFOnDocPH6ZZs2bY2NiQm5tb7DkOHz7Mnj172LBhQ4Gal+vXr9OuXTuOHDlCzZo1sbe3Z926dUXWtjVq1IjvvvuOxMREqb0RQhjckUtJjPv1ACevpALQv1k13n20Hi72Jf8nThgPzZIbGxsbQkJCiIiIoG/fvvnrIyIi6N27d7H7bty4kdOnTzNq1KiyDtPovfvuu/Ts2RM/Pz8ee+wxLCwsOHToEIcPH+aDDz5g4cKF5ObmEhYWhoODAz/88AP29vb57ZgCAwPZtGkTgwcPxtbWFg8Pj0LnmDdvHi1atCjQeDhPeHg48+bNY8aMGbz55pu88cYb2NjY0Lp1a65evcrRo0cZNWoUQ4YM4aOPPqJPnz5MmTIFHx8f9u/fj6+vL+Hh4WX+fRJCmKbsXD2z15/hi/9OkaNX8Khkw4d9G/JI/eLbEQojp2jol19+UaytrZV58+YpkZGRytixYxVHR0clKipKURRFGT9+vDJs2LBC+w0dOlQJCwu7r3MmJSUpgJKUlFRo240bN5TIyEjlxo0b93XsimDBggWKi4tLgXV///230qpVK8Xe3l5xdnZWWrRoocydO1dRFEVZsWKFEhYWpjg7OyuOjo5Ky5YtlX///Td/3+3btyuNGjVSbG1tlaJ+XDIzMxV3d3flk08+KTKe6dOnKx4eHkpmZqaSm5urfPDBB0pAQIBibW2t+Pv7Kx999FF+2aioKKV///6Ks7Oz4uDgoISGhio7d+4s1fWbwj0UQhjGydhk5dEvNisBb/6lBLz5lzL6hz1KfEqG1mGJ+1Tc5/eddIqiKFomV7Nnz+aTTz4hJiaGBg0aMGPGjPwagBEjRhAVFcWGDRvyyyclJeHj48OsWbNK1D35TsnJybi4uJCUlISzs3OBbRkZGZw7dy5/UEFhfOQeCiGSM7L5ccd5Zv57iqwcPc52VrzfpwG9GvvKZJdGrLjP7ztpntyUN0luTJvcQyHM14nYFBZtj2LF/kukZ6ltBdvXqsLH/Rvh7SJ/D4xdaZIbzXtLCSGEEPcrO1fPP0evsGh7FDvPJeavr+lZiefaV6d/s6pSW2OGJLkRQghhdOKSM1i86wI/7zrPlWR1oFZLCx1d6nnxZHggLYPdJKkxY5LcCCGEMAqKorDn/DW+3xbF30diydGrrSo8KtnyeAs/hoT54+MiY2YJSW6KZGbNkEyK3DshTE96Vg6/77/Mou1RHI9NyV8fGuDKsPAAujXwwcZKJrgUt0hyc5u8EXnT09NlxFwjlZ6uTnJamtGVhRAV07n4NH7Yfp6ley+QkqFOC2NnbUGfJlUZFh5AfV+XexxBmCtJbm5jaWlJ5cqViYuLA8DBwUGe2RoJRVFIT08nLi6OypUrY2kpM/oKYYxy9Qrrj8exaMd5Np28mr8+wN2BYS0DeCzEDxcH+edFFE+SmzvkzX6dl+AI41K5cuV7zmAuhKh4rqVlsWTPBX7ccZ6L124A6uw3HWt78mR4AO1qVsHCQv7ZFCUjyc0ddDodPj4+eHp6kp2drXU4ohSsra2lxkYII3Po4nW+33aePw9dJitHD0BlB2sGhvoxNCwAf/cHn0BYmB9Jbu7C0tJSPiiFEKKMbDp5lekRJzl44Xr+ugZVnXkyPJBejX2xs5a/v+L+SXIjhBCiXC3be5HXfzuIXgEbSwt6NPJhWHgATf0qSztHYRCS3AghhCg3i7ZH8e4fRwHo17Qqb/Woi0clW42jEqZGkhshhBDl4qv1p5m29gQAT7UO5J0e9aSRsCgTktwIIYQoU4qi8PHfJ/h64xkAXu5ck/97qKY8ghJlRpIbIYQQZUavV3jnjyP8tDMagLe71+WZdsEaRyVMnSQ3QgghykR2rp7Xlx7k9wOX0engwz4NeTzMX+uwhBmQ5EYIIYTBZWTn8tLi/UREXsHKQsf0gY3p3aSq1mEJMyHJjRBCCINKy8zh2R/2sPV0AjZWFsx5ohmd63ppHZYwI5LcCCGEMJikG9k8tWAX+6Kv42hjybfDQ2lV3UPrsISZkeRGCCGEQcSnZjJs3i6OxSTjYm/Nwqea09TfVeuwhBmS5EYIIcQDu3z9BkO/28nZ+DQ8Ktnyw6gW1PVx1josYaYkuRFCCPFAzsWnMfS7nVy6foOqle358ekwgjwctQ5LmDFJboQQQty347HJDP1uF/GpmQR7OPLD02FUrWyvdVjCzElyI4QQ4r4cuHCd4fN3kXQjm7o+ziwa2YIqTjJPlNCeJDdCCCFKbfuZBJ7+fjdpWbk09a/MwhEtcHGw1josIQBJboQQQpTSumNXeP6nfWTl6Gldw525w0JxtJWPE1FxyE+jEEKIEvvz4GX+b8kBcvQKD9X14svHm2Jnbal1WEIUIMmNEEKIElm8K5q3VhxGUaBPE1+mPdYYa0sLrcMSohBJboQQQtzTd5vP8sGqYwA8EebP+70bYGGh0zgqIYomyY0QQoi7UhSFGf+e4vN1pwB4rn0w47vWQaeTxEZUXJLcCCGEKJKiKLz/1zHmbz0HwOuP1GZMxxoaRyXEvUlyI4QQRmjn2QR+2HGelIwcrC0tsLbU3fxqgY3VrWUrSx02N5fzytlYWWBlcWv59m23Ly/eFc2vey4CMKlXfYa3CtT2ooUoIUluhBDCiGw/k8CsdSfZcTaxXM5noYNPBjRmQEi1cjmfEIYgyY0QQlRwiqKw/WwCM/89xa5zalJjbaljYKgfTf1dyc7Vk5OrJytXITtXT3aOnuyb73Nyby1n31xWX7e9z1HIurmcc3N9Vq4ee2tLXnukNo/U99b4OyBE6UhyI4QQFZSiKGw7k8Csf0+xK0pNamwsLRjU3I/nO1THV+ZwEqJIktwIIUQFoygKW07HM+vfU+w5fw1Qk5rBLdSkxsdFkhohiiPJjRBCVBCKorD5VDwz/z3JvujrANhYWfB4C39Gt6+Ot4udtgEKYSQkuRFCCI0pisLGk1eZte4U+28mNbZWFjwepiY1Xs6S1AhRGpLcCCGERhRFYcMJNak5cOE6oCY1T4QFMLp9MJ6S1AhxXyS5EUKIcqYoCutPxDHr31McvJgEgJ21BUPDAni2fTCeTpLUCPEgJLkRQohyoigK647F8fl/pzh0M6mxt7ZkWHgAz7QNpoqTrcYRCmEaJLkRQogypigKEZFX+Py/Uxy5lAyoSc2T4QE80y4Yj0qS1AhhSJrPVT979myCgoKws7MjJCSEzZs3F1s+MzOTt99+m4CAAGxtbalevTrz588vp2iFEKLkFEVh7dFYeny+hWd/2MuRS8k42Fgyun11trzZkQnd60piI0QZ0LTmZsmSJYwdO5bZs2fTunVrvvnmG7p160ZkZCT+/v5F7jNw4ECuXLnCvHnzqFGjBnFxceTk5JRz5EIIcXeZObn8eTCG7zaf5XhsCgCONpYMbxXI022DcXO00ThCIUybTlEURauTh4WF0axZM+bMmZO/rm7duvTp04cpU6YUKv/3338zePBgzp49i5ub232dMzk5GRcXF5KSknB2dr7v2IUQ4k7X0rL4eVc032+LIi4lE4BKtlYMbxXA022CcZWkRoj7VprPb81qbrKysti7dy/jx48vsL5Lly5s27atyH1WrlxJaGgon3zyCT/88AOOjo706tWL999/H3v7okfszMzMJDMzM/99cnKy4S5CCCGAc/FpzN9yjqV7L5CRrQfAy9mWEa2CeLyFPy4O1hpHKIR50Sy5iY+PJzc3Fy8vrwLrvby8iI2NLXKfs2fPsmXLFuzs7FixYgXx8fG88MILJCYm3rXdzZQpU5g0aZLB4xdCmDdFUdh1LpHvtpzj32NXyKsDr+fjzDPtgujR0BcbK82bNQphljTvLaXT6Qq8VxSl0Lo8er0enU7HTz/9hIuLCwCfffYZAwYM4Kuvviqy9mbChAmMGzcu/31ycjJ+fn4GvAIhhDnJztWz+nAM87acy+/ODdC5jiej2gYRHux+179hQojyoVly4+HhgaWlZaFamri4uEK1OXl8fHyoWrVqfmIDahsdRVG4ePEiNWvWLLSPra0ttrbSG0EI8WCSM7L5ZVc0C7dGcTkpA1BHE+4fUo2RrYOo4VlJ4wiFEHk0S25sbGwICQkhIiKCvn375q+PiIigd+/eRe7TunVrli5dSmpqKpUqqX9ITp48iYWFBdWqVSuXuIUQ5uVCYjoLtkaxZHc0aVm5AHhUsuHJ8ECeCPPHXbpyC1HhaPpYaty4cQwbNozQ0FDCw8OZO3cu0dHRjB49GlAfKV26dIlFixYB8Pjjj/P+++/z1FNPMWnSJOLj43n99dcZOXLkXRsUCyHE/dgffY3vNp9jzZEY9Dfb09TyqsTTbYLp1cQXO2tLbQMUQtyVpsnNoEGDSEhIYPLkycTExNCgQQNWr15NQEAAADExMURHR+eXr1SpEhEREbz00kuEhobi7u7OwIED+eCDD7S6BCGECcnVK0RExvLt5nPsPX8tf33bmh483TaYdjU9pD2NEEZA03FutCDj3Agh7pSWmcPSPReYvzWK6MR0AGwsLejdxJdRbYOo4y1/K4TQmlGMcyOEEFqLS8lg/pYoft55nuQMdaTzyg7WDGsZwLDwAJmdWwgjJcmNEMLsZOXoWbD1HJ+vO5XfSDjYw5GRbYLo36wa9jbSnkYIYybJjRDCrKw/Ecf7f0ZyNj4NgMZ+lXmpYw061fHEwkLa0whhCiS5EUKYhaj4NN7/K5J1x+MA8Khky4RudejbtKokNUKYGEluhBAmLS0zhy/Xn2be5nNk5eqxttQxsnUQL3aqgZOdzPkkhCmS5EYIYZIUReGPA5eZsuYYV5LVyXPb1arCe4/Wo3oVGU1YCFMmyY0QwuQcuZTExJVH2XNzrBp/Nwfe7VmPznU9ZZwaIcyAJDdCCJORkJrJp/+c5Jfd0SgK2Ftb8mKnGoxqEyQjCgthRiS5EUIYvZxcPT/uOM9nESfzx6vp3cSX8d3q4OMiU7MIYW4kuRFCGLVtZ+KZtDKSE1dSAKjn48zEXvVpEeSmcWRCCK1IciOEMEoXr6UzZfVxVh2OAdSRhV/rUpshLfyxlK7dQpg1SW6EEEYlIzuXbzaeZc7G02Rk67HQwdCWAYx7uBaVHWy0Dk8IUQFIciOEMAqKorD2aCzv/3WMS9dvABAW5MbEXvWp6yMTWwohbpHkRghR4Z28ksKkP4+y9XQCAD4udrzdoy49GvpI124hRCGS3AghKqxraVl8/t8pFm0/T65ewcbKgtHtghndoToONvLnSwhRNPnrIISocK6nZ/Ht5rMs3BqVP2t3l3pevNOzHn5uDhpHJ4So6CS5EUJUGNfTs/hu8zkWbosiNVMdr6aejzPju9WhXa0qGkcnhDAWktwIITSXlJ7NvC1nWbA1ipSbSU1dH2fGPlSTLvW8pF2NEKJUJLkRQmgm6UY287ecY/6Wc/lJTR1vp5tJjTcWMl6NEOI+SHIjhCh3yRlqUjNvyzlSbk6XUNtLTWoeqS9JjRDiwUhyI4QoNykZ2SzYGsV3m8/mzwFVy6sSr3SuRbcGktQIIQxDkhshRJlLychm4dYovttyjqQb2QDU9KzEKw/VpHsDH0lqhBAGJcmNEKLMpGbm8P22KL7dfJbr6WpSU72KI688VIseDX1kDighRJmQ5EYIYXBFJTXBVRx5pXNNejbylaRGCFGmJLkRQhhMWmYOi7afZ+6mM1zLS2o8HHm5c00ebSxJjRCifEhyI4R4YOlZeUnNWRLTsgAIdHfg5c416dXYFytLC40jFEKYE0luhBD3RVEUTsWlEhF5hflbzpFwM6kJcHfg5U416d1EkhohhDYkuRFClFh8aiZbT8ez6WQ8W05f5UpyZv42fzcHXupUg75Nq0pSI4TQlCQ3Qoi7ysjOZXdUIltOxbPpVDzHYpILbLe1sqBFkBuPNvalb9OqWEtSI4SoACS5EULk0+sVjsemsPnUVbacjmfXuUQyc/QFytTzcaZtTQ/a1qxCaKArdtaWGkUrhBBFk+RGCDN3JTmDzafi2XzqKltPxxOfmlVgu5ezLW1rVqFtTQ9aVfegipOtRpEKIUTJSHIjhJlJz8ph59nE/ITmVFxqge321pa0DHbLT2hqeFaSWbmFEEZFkhshTFyuXuHo5aT8ZGbv+Wtk5yr523U6aFTVhTY3HzU183fFxkrazgghjJckN0KYsNikDJ5auLtQQ+Cqle1pV8uDNjWq0Kq6O66ONhpFKIQQhifJjRAm6uzVVIbN28Wl6zdwtLGkVQ0P2tX0oE3NKgS6O8ijJiGEyZLkRggTdPhiEsMX7CIxLYsgD0cWjWyBn5uD1mEJIUS5kORGCBOz7XQ8zyzaQ1pWLg2qOrPwqRZ4VJIeTkII8yHJjRAmZM3hGF755QBZuXpaVXfnm2EhONlZax2WEEKUK0luhDARi3dF8/aKw+gV6Frfm5mDm8gAe0IIsyTJjRBGTlEUZm84w7S1JwAY0sKPD/o0xNJCGgwLIcyTJDdCGDG9XuGDVceYv/UcAGM6Vue1LrWlJ5QQwqxpPlLX7NmzCQoKws7OjpCQEDZv3nzXshs2bECn0xV6HT9+vBwjFqJiyM7V8+rSg/mJzTs96/H6I3UksRFCmD1Na26WLFnC2LFjmT17Nq1bt+abb76hW7duREZG4u/vf9f9Tpw4gbOzc/77KlWqlEe4QlQYN7JyGfPzPv47HoelhY5pAxrRr1k1rcMSQogKQdOam88++4xRo0bx9NNPU7duXWbOnImfnx9z5swpdj9PT0+8vb3zX5aW0mhSmI+k9GyGztvJf8fjsLO24NsnQySxEUKI22iW3GRlZbF37166dOlSYH2XLl3Ytm1bsfs2bdoUHx8fOnfuzPr164stm5mZSXJycoGXEMbqSnIGA7/Zzt7z13C2s+LHUWF0quOldVhCCFGhaJbcxMfHk5ubi5dXwT/MXl5exMbGFrmPj48Pc+fOZdmyZSxfvpzatWvTuXNnNm3adNfzTJkyBRcXl/yXn5+fQa9DiPJyLj6N/nO2ceJKCp5Otvw6OpzQQDetwxJCiApH895SdzZ+VBTlrg0ia9euTe3atfPfh4eHc+HCBT799FPatWtX5D4TJkxg3Lhx+e+Tk5MlwRFG58ilJEYs2EV8ahaB7g78MCpMplMQQoi70Cy58fDwwNLSslAtTVxcXKHanOK0bNmSH3/88a7bbW1tsbWVoeeF8dp+JoFnFu0hNTOH+r7OfD9SplMQQojiaPZYysbGhpCQECIiIgqsj4iIoFWrViU+zv79+/Hx8TF0eEJUCGuPxjJ8wS5SM3NoGezGL8+2lMRGCCHuQdPHUuPGjWPYsGGEhoYSHh7O3LlziY6OZvTo0YD6SOnSpUssWrQIgJkzZxIYGEj9+vXJysrixx9/ZNmyZSxbtkzLyxCiTCzZHc2E5ep0Co/U92LW4KYynYIQQpSApsnNoEGDSEhIYPLkycTExNCgQQNWr15NQEAAADExMURHR+eXz8rK4rXXXuPSpUvY29tTv359Vq1aRffu3bW6BCEMTlEUvt54lo//VgenHBTqx4d9G2BlqfmYm0IIYRR0iqIoWgdRnpKTk3FxcSEpKanAQIBCVAR6vcKUNcf4drM66vDzHarzxiMynYIQQpTm81vz3lJCCFV2rp7xyw6zbN9FAP7Xoy5Ptw3WOCohhDA+ktwIUQFkZOcy5qd9rLs5ncIn/RvRP0RGHRZCiPshyY0QGlAUhdTMHK6lZROflsnU1cfZFZWIrZUFXz3ejIfqyajDQjyQS/vAphJUqaV1JEIDktwIYQCZOblcS8smMS2La+lZJKbdel1LzyIhLYtrt72/lpZNVq6+wDGc7KyYP6I5zWXUYSEezLXzMK8LWNnCmJ3gIrWg5kaSGyHuITMnl7+PxHLp+g0SU7NITL+ZqKRnk5iWybW0bFIzc+7r2HbWFrg72uLv5sC7j9ajro80chfigR1ZBvpsyMqG1W/AkJ+1jkiUs1InN4GBgYwcOZIRI0bg7+9fFjEJUWHEpWQw+oe97Iu+fs+ylhY6XB2scXO0wdXBRv3qaIN7Ue8dbXBzsMHeRsatEcLgjtw29tmJVXDsL6jbU7t4RLkrdXLz6quvsnDhQiZPnkzHjh0ZNWoUffv2lSkOhMk5cimJZxbtISYpAyc7K7rU88a9kpqkuDncTFAcrXFztMXNwQYnOyssLKTLthCaijsOV46AhTU0GwZ75sPq1yG4Pdg6aR2dKCf3Pc7NwYMHmT9/PosXLyYnJ4fHH3+ckSNH0qxZM0PHaFAyzo0oiT8PXub13w6Ska0nuIoj3z0ZSnCVSlqHJYS4l/8+hE2fQK2u8NhCmN0SrkVB2PPQbarW0YkHUJrP7/se8rRx48bMmjWLS5cu8d577/Hdd9/RvHlzGjduzPz58zGzsQGFidDrFT5de4KXFu8nI1tPh9pV+H1Ma0lshDAGinLrkVSD/mBtDz1nqO93faP2oBJm4b6Tm+zsbH799Vd69erFq6++SmhoKN999x0DBw7k7bff5oknnjBknEKUudTMHJ77cS9frj8NwHPtgpk3vDnOdtYaRyaEKJGYA5B4BqzsofbNaXmqd4KGA0HRw19jIff+Gv8L41LqNjf79u1jwYIFLF68GEtLS4YNG8aMGTOoU6dOfpkuXbrQrl07gwYqRFmKTkjn6UW7OXklFRsrC6b2a0i/ZtJ9VAijcvg39WutR8D2ttrWRz6CU/9AzEHYNRfCX9AmPlFuSl1z07x5c06dOsWcOXO4ePEin376aYHEBqBevXoMHjzYYEEKUZa2nYmn11dbOHklFU8nW359LlwSGyGMjV4PR1eoyw0HFNxWqQo8PFld/u8DSLpYvrGJclfqmpuzZ8/mz9p9N46OjixYsOC+gxKiPCiKwo87zjPxz0hy9QqNq7nwzbBQvF3stA5NCFFaF3ZA8iWwdYYaDxfe3nQYHFwM0dvV3lODfwaZkNZklbrmJi4ujp07dxZav3PnTvbs2WOQoIQoa1k5et5acYR3/jhKrl6hTxNfljwXLomNEMYqryFxnZ5gXcTvsYUF9JypdhE/sRqO/1Wu4YnyVerkZsyYMVy4cKHQ+kuXLjFmzBiDBCVEWUpIzWTodztZvCsanQ7Gd6vDjEFNsLOWAfWEMEq5OXD0d3W5Qf+7l/OsA61fUZdXvwEZyWUemtBGqZObyMjIIseyadq0KZGRkQYJSoiyEnk5mV5fbmVXVCJOtlbMH96c0e2ro5PqaSGM17mNkB4PDu7qYH3FafcauAZBymVY/2H5xCfKXamTG1tbW65cuVJofUxMDFZWMlWVqLjWHI6h/5xtXLp+g0B3B1aMaUXHOp5ahyWEeFB5j6Tq9QHLewzdYG0PPT9Tl3d+A5f2lmloQhulTm4efvhhJkyYQFJSUv6669ev89Zbb/Hww0U04hJCY3q9woyIkzz/0z5uZOfStqYHf4xpQw1PGYpdCKOXkwnH/lSXi3skdbu8sW9Q4M+xMvaNCSp1Vcv06dNp164dAQEBNG3aFIADBw7g5eXFDz/8YPAAhXgQaZk5vPrrQf4+GgvAyNZBvNW9DlaW9z1+pRCiIjkVAZnJ4OQL/uEl3y9v7JvYQ+roxeHSZtSUlDq5qVq1KocOHeKnn37i4MGD2Nvb89RTTzFkyBCsrWUkV1FxXEhM55lFezgem4KNpQUf9G3AwFA/rcMSQhjSkZsD9zXop/aIKqm8sW/+fFmdj6puL6gsfx9MxX1PnGmsZOJM87DrXCKjf9xLYloWHpVs+WZYM0IC3LQOSwhhSJmpMK0G5NyAZ9ZD1VJO3KzXw8Lu6tg3tbrBkMUy9k0FVprP7/tuARwZGUl0dDRZWVkF1vfq1et+DymEQfy8M5p3/zhCjl6hQVVn5g4LxbeyvdZhCSEM7cQaNbFxDQLfpqXfP2/sm6/bwMk16tg3dR81eJii/N3XCMV9+/bl8OHD6HS6/Nm/87rS5ubmGjZCIUooO1fP+39Fsmj7eQB6NvJh2oDG2NvI+DVCmKS8XlINB9x/jUve2DebP1XHvglqD3ZSq2/sSt2q8pVXXiEoKIgrV67g4ODA0aNH2bRpE6GhoWzYsKEMQhTi3q6lZfHkvF35ic3rj9TmiyFNJbERwlSlJ8Lpf9XlBgOKL3svMvaNySl1crN9+3YmT55MlSpVsLCwwMLCgjZt2jBlyhRefvnlsohRiGLti75Gr6+2sP1sAo42lswdFsKYjjVkYD4hTNnxv0CfDZ711dqXByFj35icUic3ubm5VKqkTiXv4eHB5cuXAQgICODEiROGjU6IYuTk6pkRcZLHvt7OhcQb+LnZs/yF1nSp7611aEKIsnb4Zi+phiUc2+ZeZOwbk1LqNjcNGjTg0KFDBAcHExYWxieffIKNjQ1z584lODi4LGIUopDzCWmMXXKA/dHXAejdxJfJvRvgYi/DEQhh8lKuQNRmdbl+P8Md9/axb3Z+Da1eNNyxRbkqdc3N//73P/R6PQAffPAB58+fp23btqxevZrPP//c4AEKcTtFUVi65wLdZ21mf/R1nGytmDmoCbMGN5XERghzEfk7KHqoGgpuQYY7bt7YN6C2vbkebbhji3JV6pqbRx55JH85ODiYyMhIEhMTcXV1lTYOokxdT8/irRWHWX1YHW24RaAb0wc2xs/NQePIhBDlKq+XVEmnWyiNpsPg4GJ17JvVr8OQX2TsGyNUqpqbnJwcrKysOHLkSIH1bm5uktiIMrX1dDxdZ25m9eFYrCx0vP5IbRY/21ISGyHKSm42xB6GijbO6/VouLAT0EH9voY/ft7YNxbWcPLvW/NWCaNSquTGysqKgIAAGctGlJvMnFw+XBXJE9/tJDY5g2APR5a/0IoxHWtgaSEJtRBlZutMdXC7jR9rHUlBebU2gW3A2adszuFZB9qMVZfXvAEZyWVzHlFm7qvNzYQJE0hMTCyLeITId/JKCn2+2sa3m88BMKSFP3+93IZG1SprG5gQ5uDYX+rXzZ9VrLYnZflI6nZtXwW3YEiJgf8+KNtzCYMrdZubzz//nNOnT+Pr60tAQACOjo4Ftu/bt89gwQnzpCgK32+LYsqa42Tm6HFztGFqv4bSxVuI8nLjutpjCCA3EyLehccWahmR6upJ9VGZhRXU612257K2hx6fwQ99YNdcaDwIqoaU7TmFwZQ6uenTp08ZhCGEKi4lg9eXHmLjyasAtK9VhWmPNcLTyU7jyIQwI+e3qb2RHNzVkYCProAWz0FAuLZx5dXaVO8EDuUwEW71jtBoEBxaAn++As9sAMv7npJRlKNS36X33nuvLOIQgojIK7y57BCJaVnYWFnwVrc6DG8VKI3VhShveWPI1OsN+lzY9z38PV6dedui1K0ZDENR4MjNgfsedLqF0ujyIZxcq9YYydg3RkOjn1IhbknPymHC8sM8s2gPiWlZ1PF24q+X2jCidZAkNkJo4dzN5CawDXT6H9g4QcwBtYu0VmIPQcJpsLKDOt3L77yVqkCX99VlGfvGaJQ6ubGwsMDS0vKuLyFK49DF6/T8fAuLd6l/MJ5pG8QfL7amlpeTxpEJYabSE+HKzeE+AttCJU9o/7r6ft0kyEzVJq686RZqPQK25fz3oclQ8G8F2enq2DcVrXu8KKTUj6VWrFhR4H12djb79+/n+++/Z9KkSQYLTJi2XL3C1xvPMCPiJDl6BW9nO6YPbEzrGh5ahyaEeTu/FVCgSh01sQEIGw175sO1KNgyAzq/U74x6fVqux8o+15SRbGwgJ4z1K7xeWPf1OtV/nGIEit1ctO7d+EW6gMGDKB+/fosWbKEUaNGGSQwYbouXktn3JKD7IpShxPo3tCbj/o2pLKDjcaRCSFuPZJqe2udlS10+QCWDIVtX0CzJ8E1oPxiurgLki6oj8dqdim/894ub+ybTdPUsW+CO4CdszaxiHsyWJubsLAw/v33X0MdTpio3/dfotvMzeyKSsTRxpJpAxrx1ePNJLERoqLIa0wc1Lbg+jo91YQnNxP+LeeOJXm9pOr0ULtoa0XGvjEaBklubty4wRdffEG1atUMcThhgpJuZPPy4v2MXXKAlMwcmvpXZvUrbXks1E8aDQtRUaTFQ1ykuhzQpuA2nQ66TgGdhfqI6Pz28okpN+fWI6mG5dhLqih5Y9+AOvbNpb3axiPuqtTJjaurK25ubvkvV1dXnJycmD9/PtOmTSt1ALNnzyYoKAg7OztCQkLYvHlzifbbunUrVlZWNGnSpNTnFOUrITWTfrO3svLgZSwtdIx9qCZLnwsnwN3x3jsLIcpPXq2NZ31wdC+83buh+kgK1K7hen05xLQJ0q6CvZv6KEhreWPfoMCaN6VxcQVV6jY3M2bMKPCftoWFBVWqVCEsLAxXV9dSHWvJkiWMHTuW2bNn07p1a7755hu6detGZGQk/v7+d90vKSmJJ598ks6dO3PlypXSXoIoRykZ2YxYsJszV9PwdrbjqyeaERJQup8TIUQ5idqifr3zkdTtOv4PDi+71TW86RNlG1PeI6l6vcHSumzPVVIPT4bIlXBxN5yKgFoatQMSd6VTFO3SzrCwMJo1a8acOXPy19WtW5c+ffowZcqUu+43ePBgatasiaWlJb///jsHDhwo8TmTk5NxcXEhKSkJZ2dpDFaWMrJzeWrBbrafTcDN0YZfnwunhmclrcMSQtzNly0g/gQM+gnq9rx7ua2z1CkZKnnBS3vLrmt2TiZMqwmZSTBilTruTkWx9m3Y/iX4NIFnN6iP7USZKs3nd6kfSy1YsIClS5cWWr906VK+//77Eh8nKyuLvXv30qVLwYy3S5cubNu2rdjznzlzpsQjJWdmZpKcnFzgJcpeTq6elxbvZ/vZBCrZWvH9Uy0ksRGiIku5oiY26CCwdfFlw0aDaxCkXlG7hpeV0+vUxMbJB/w1nvrhTm3+D6wd1RqsE6u1jkbcodTJzdSpU/HwKDwWiaenJx999FGJjxMfH09ubi5eXl4F1nt5eREbG1vkPqdOnWL8+PH89NNPWFmV7InalClTcHFxyX/5+fmVOEZxf/R6hTeXHSYi8go2VhZ8+2QoDau5aB2WEKI4ee1tvBuC/T0eHed1DQfY9iVcO182MeVNt1C/H1hUsEFiHT0g7Dl1ef2U8ml/JEqs1MnN+fPnCQoKKrQ+ICCA6OjSD0t9Z08ZRVGK7D2Tm5vL448/zqRJk6hVq1aJjz9hwgSSkpLyXxcuXCh1jKLkFEXhw9XHWLbvIpYWOr4c0pTw6kU0TBRCVCz5XcDblax8nR63uoZHvGv4eLLS4MQadVmLgftKotVL6tg7Vw7DsZVaRyNuU+rkxtPTk0OHDhVaf/DgQdzdS/4h5uHhgaWlZaFamri4uEK1OQApKSns2bOHF198ESsrK6ysrJg8eTIHDx7EysqK//77r8jz2Nra4uzsXOAlys5X608zb8s5AD7u34gu9b01jkgIUSK3zydVEjoddJ2qdg2P/F2dSdyQTqxRpztwDYSqzQx7bENxcIPwF9TlDVPUSUZFhVDq5Gbw4MG8/PLLrF+/ntzcXHJzc/nvv/945ZVXGDx4cImPY2NjQ0hICBEREQXWR0RE0KpVq0LlnZ2dOXz4MAcOHMh/jR49mtq1a3PgwAHCwsJKeynCwH7YcZ5P/zkJwDs96zEgRMY9EsIoJF+GxDNqohJQ+O/vXXk3KLuu4UeWq18b9K/YjXVbvgB2LnD1+K3xeITmSt0V/IMPPuD8+fN07tw5v92LXq/nySefLFWbG4Bx48YxbNgwQkNDCQ8PZ+7cuURHRzN69GhAfaR06dIlFi1ahIWFBQ0aNCiwv6enJ3Z2doXWi/K38uBl3v1DnWzvpU41GNWm8KNLIUQFldcF3Kex+kFdGh3/pyYiMQfh4M/QdOiDx3PjOpy++Y9vA40H7rsX+8oQ/hKs/0CtvanXByxL/dEqDKzUd8DGxoYlS5bwwQcfcODAAezt7WnYsCEBAaWfZ2TQoEEkJCQwefJkYmJiaNCgAatXr84/VkxMzH214xHla8OJOMYtOYCiwLCWAYx7uORtooQQFcC5TerXwGLGt7mbSlWg3esQ8Q6sm6yOR/OgXcOP/Qm5WeBZD7zqPdixykPL0bDjK0g4DYd/hSaPax2R2dN0nBstyDg3hrUnKpGh83aSka3n0ca+zBrUBAuLClyFLIQobFZjdcbvJ36Dmg+Xfv+cTPgqDK6dU+df6vyADYwX9YGz66HT/9TEyRhsmQH/TlTbCL24p+IMOGhCynScmwEDBjB16tRC66dNm8Zjjz1W2sMJI3YsJpmRC3eTka2nQ+0qTH+ssSQ2Qhib6xfUxEZnCf4t7+8YVrbwyIfq8rYv1ePdr9Q4OLdRXa6ovaSK0uJZcKyiXvuBn7WOxuyVOrnZuHEjPXr0KLS+a9eubNq0ySBBiYrvfEIaw+btIjkjh9AAV+Y8EYKNlcEmmRdClJe8LuC+TR/scVLt7mo38txMiHiAWcMj/wBFD77N1Bm4jYWNozqwH8CmaZCTpW08Zq7Un0apqanY2NgUWm9tbS2j/5qJK8kZDJ23k/jUTOp4OzFvRHPsbSrYAFtCiJIpyXxSJaHTwSNTbnUNj9p6f8c5fHPgPq1nAL8foSOhkjckXYD9i7SOxqyVOrlp0KABS5YsKbT+l19+oV49I2j4JR7I9fQsnpy3iwuJNwhwd2DRqBa42MuzZSGMVv74Ng+Y3MDNruHD1eW/x5d+3JfrF+DCDkAH9fs+eDzlzdpebXMEsGk6ZGdoG48ZK3VvqXfeeYf+/ftz5swZOnXqBMC6dev4+eef+e233wweoKg40rNyGLlwNyeupODpZMuPo8LwdLLTOiwhxP26FgVJ0WBhff/tbe7U8W11Ju/YQzdnDS9F1/CjN8e2CWgNzr6Giae8NXsSts6E5Euwd6Hak0qUu1LX3PTq1Yvff/+d06dP88ILL/Dqq69y6dIl/vvvPwIDA8sgRFERZObk8twPe9kXfR0Xe2t+GBWGn5uD1mEJIR5EXq1N1RC1zYghVKoC7d9Ql9dNhsyUku97ZJn6tUE/w8SiBWs7aPeaurx5OmSlaxuPmbqvFqA9evRg69atpKWlcfr0afr168fYsWMJCQkxdHyiAsjVK4xbcpDNp+JxsLFkwVPNqe39gONYCCG0lz+flAEeSd2uxXNqY+DUK7D5s5LtE39aHQjQwkodCM+YNRkKlf0hLQ52f6d1NGbpvru3/PfffwwdOhRfX1++/PJLunfvzp49ewwZm6gAFEXhf78fYdXhGKwtdXwzLIRm/veYMVgIUfEpSunnkyopKxvocrNr+PavStY1PK/WJrgjOBr5ZLtWNtDuZu3V1pmQmappOOaoVMnNxYsX+eCDDwgODmbIkCG4urqSnZ3NsmXL+OCDD2jatGlZxSk0Mm3tCRbvikang5mDmtK2ZhWtQxJCGELiWUi5DJY24FcGc/PV7gZB7Us2a7iiwJGbbTaNaWyb4jQeotZepSfArm+0jsbslDi56d69O/Xq1SMyMpIvvviCy5cv88UXX5RlbEJj3246y+wNZwD4qG9DejTy0TgiIYTB5D2SqtZc7eVjaDoddM3rGv5H8V3DYw9D/EmwtIU6hcdRM0qWVtB+vLq89XPIkKFSylOJk5t//vmHp59+mkmTJtGjRw8sLWVcE1P2654LfLj6GABvdq3DkBb+GkckhDAoQ3YBvxuv+hAyQl0urmt43iOpWl3AzoSmxWk4ADxqQcZ12DFH62jMSomTm82bN5OSkkJoaChhYWF8+eWXXL16tSxjExr5+0gs45cdAuC5dsE836G6xhEJIQxKUcquMfGdOr4Nts5q1/CipiVQFHVWcaj4M4CXloUldLhZe7P9K7hxTdt4zEiJk5vw8HC+/fZbYmJieO655/jll1+oWrUqer2eiIgIUlJK0d1PVFhbT8fz8uL96BUYFOrH+G51tA5JCGFo8afUnkyWtlA1tGzP5ehRfNfwi7vVsXZsKkGtR8o2Fi3U66vObp6ZpCY4olyUureUg4MDI0eOZMuWLRw+fJhXX32VqVOn4unpSa9evcoiRlFODl64zrOL9pCVq6dbA28+6tcQnU4mwhTC5ETdnAfQr4U6LktZy+sanhanjv1yu7zpFur0KJu2P1qzsIAOE9TlHXMgLUHbeMzEA810WLt2bT755BMuXrzI4sWLDRWT0MDpuBRGLNhFWlYubWp4MHNwEyxlhm8hTFP+fFLtyud8d+sars+FoyvUZVN7JHW7uo+CdyPISoVts7SOxiwYZBpnS0tL+vTpw8qVKw1xOFHOrqdnMXLhHq6lZ9PYrzLfDAvB1koajAvxwA7/BoeWah1FQYpyK7kpy8bEd6rdDYI7QG7Wra7hUZvV2hx7V3WbqdLpoONb6vKubyE1Ttt4zIBBkhthvHL1Ci8t3k90YjrVXO1ZMKI5jralnnJMCHGnmIOwbBQsfxrijmsdzS1Xj0PaVbB2UKddKC86HTzy0W1dw7fc6iVVr7dau2PKanVVv9/Z6bBlptbRmDxJbszcJ38fZ/OpeOytLZk7LBQ3RxP/AyNEebm9bcnub7WL4055XcD9wso/obiza3jkzdp+Uxm4rzi3197smQfJMdrGY+IkuTFjfxy4xDebzgIw7bFG1PM1ofElhNDS1RO3PrgBDiyGjCTt4rldXmNiQ0+5UFId3wZbF3XgvozrUMlbnQXcHFTvrCaVORmwpYRzbon7IsmNmTpyKYk3b45l80KH6vRs5KtxREKYkM2fAQrU6akO4padBgd/0Toq0OvLvzHxnW7vGg5Qv686How50OnU5A5g70K4fkHTcEyZJDdmKCE1k+d+2EtGtp4OtavwapfaWockhOlIPAeHbzYibvcatHhWXd41V00utBQXqQ4kZ+0IvhrOBdjiWfCoDTpLaDJEuzi0ENQOAtqoDavv7BYvDEaSGzOTnatnzM/7uHT9BkEejswa3FS6fAthSFtngpILNR5SE4jGg8HGCRJOw9n12saWNypxQDhYWmsXh5UNjPwbnt8KPo21i0MLOh10ull7s/+Hks2YLkpNkhsz8+GqY+w4m0glWyu+fTIEF3sN/8AJYWqSLt2aYqDta+pXWydo8ri6vGuuNnHlKY/5pErKwQ0862odhTYCWkFwR9DnwMZpWkdjkiS5MSO/7rnAwm1RAHw2sDE1PJ20DUgIU7PtC/VxQ0BrtXYkT4tn1K8n16qPrbSgz4Xzee1tKkByY+7y2t4cXAwJZ7SNxQRJcmMm9kdf438rjgDwfw/Vokt9b40jEsLEpF5VG4mC2tbmdh41oXonQFG7AWsh9rDaY8vGCbzN7FFQReTXHGp2UR9hbvxY62hMjiQ3ZiAuOYPRP+4lK1dPl3pevNSphtYhCWF6dsyGnBvg20x95HCnvIbF+36ArPTyjQ1ua2/TCixloM4KIW/cm0O/qsMHCIOR5MbEZebkMvrHvVxJzqSmZyU+G9QEC2lALIRh3bimDqsP0O51tdHonWp2gcoB6tguhzWYkiFKHklVOL5NoXYPQIENU7WOxqRIcmPCFEVh4sqj7Iu+jrOdFd8+GUolmVpBCMPb9S1kpYBnfXWY/aJYWELzp2+Wn6vO8VRecnPg/DZ1uSI0Jha3dLw5Y/jR5XDlqLaxmBBJbkzYTzujWbzrAhY6+HxIUwI9HLUOSQjTk5mqPpICaPcqWBTzZ7XpULCyhytHIHp7+cQHEHsQMpPBzgW8G5bfecW9eTdU59YC2DBF21hMiCQ3JmrXuUQmrlT/C3ijax061PbUOCIhTNSe+epjKfcaUK9P8WUd3KDRY+ryzm/KPLR8eV3AA9qYz2jAxqTDBEAHx/5UJ1wVD0ySGxN0+foNXvhpLzl6hUcb+/Jcu2CtQxLCNGXfULt/A7T5v5IlDnkNi4/9CcmXyy622+U1JtZqPilRPM+60HCAurz+I21jMRGS3JiYjOxcnvthL/GpWdTzceaT/o3QFdW4UQjx4Pb/CGlx4OIHjQaVbB/vhuDfSu0CvGdB2cYHkJsN528+ApPGxBVX+zdBZwEn/4aLe7WOxuhJcmNCFEVhwvLDHL6UhKuDNd8MC8HeRqqghSgTOVmwZaa63PqV0k1nEHaz9mbvAsjJNHhoBVw+oE7cae+mNngWFZNHTWg0WF1e/6G2sZgASW5MyPytUazYfwlLCx1fPdEMPzcHrUMSwnQdWgLJF6GSFzQdVrp96/QEJx9IuwqRf5RNfHmiNqlfA1sX39hZaK/9G+pkomfWQfQOraMxavKTbiK2no7no9XHAPhfj7q0qu6hcURCmDB9Lmz5TF1u9RJY25Vuf0trCB2pLpd1w+L8+aTale15xINzC4KmT6jLUnvzQCS5MQEXEtMZ8/M+cvUK/ZtVY0SrQK1DEsK0HV0BiWfB3hVCnrq/Y4SMAAtruLQHLpVRG4ucLLiwU12W9jbGod3r6s/FuU2w9u3ya3RuYiS5MXLpWTk8s2gP19OzaVzNhQ/7NpAGxEKUJb0eNk9Xl1uOAdtK93ecSp5Qv6+6vOs7w8R2p0t7ITsdHDygSp2yOYcwrMr+0PJ5dXn7lzCzEawYDbFHtI3LyEhyY8QUReH1pYc4HpuCRyVbvh4Wgp21NCAWokydWA1xkWDrfGu27/sV9pz69cgySIt/8NjudHsXcPmnx3g8NAkG/6z2qtNnqzOHf90aFvWB0+vKd3RrIyXJjRGbs/EMqw7HYG2p4+uhzfBxsdc6JCFMm6LA5k/V5RbPgH3lBzte1RB1fqHcTNj3/QOHV0heciOPpIyLhQXU6QEj18DT/6k1fDoLOLsefuwHc1rDgZ/Vx46iSJLcGKn1x+OYtladRXZSrwaEBrppHJEQZuDMOri8H6wdoOULD348nQ5a3Ky92T1fnQPKUHIy4cIudVkaExuvaiHw2EJ4eT+EPQ/WjhB3FH5/HmY2hM2fqSNkVyR6PaRe1TQESW6M0Nmrqbz8y34UBR4P8+fxMH+tQxLCPGy62dYm5ClwNFCPxPp9wcFd7VZ+YrVhjglwcTfkZKhd1T1qGu64QhuugdBtKow7Cg9NhErekBoL6ybBZ/VhzZtwLUqb2HJz4NI+2PYlLH4cpgXDz49pE8tNmic3s2fPJigoCDs7O0JCQti8efNdy27ZsoXWrVvj7u6Ovb09derUYcaMGeUYrfZSMrJ59oe9pGTkEBrgysRHZVAuIcpF1FaI3gaWNmr3b0OxtoNmw9XlXXMNd9xz0t7GJNm7qlN9jD0Mfb5WB2bMToOdX8PnTeHX4XBxT9nGkJOpjsOzeTr80A8+DoBvO8I/b8OJVWpNUsIZyM4o2ziKYaXZmYElS5YwduxYZs+eTevWrfnmm2/o1q0bkZGR+PsXro1wdHTkxRdfpFGjRjg6OrJlyxaee+45HB0defbZZzW4gvKl1yv835KDnI5LxdvZjtlDm2FjpXl+KoR5yGtr0+QJcPYx7LGbj4KtM9U2Mlciwavegx8zvzGxtLcxSVY20GQINB6stsXZ9gWc+Q8if1df/uEQ/iLU7vbgk6Vmpas1gee3wfmtt2oFb2frAgHhENBaffk0Kt2o3QamUxTtml2HhYXRrFkz5syZk7+ubt269OnThylTSjb1e79+/XB0dOSHH34oUfnk5GRcXFxISkrC2dn5vuLWyoyIk8xadwobKwuWPhdOY7/KWockhHm4tBe+7aSOHvvyPvURgaEtGapOphk6Eno+YI109g2Y6g+5WfDSPnCvbpgYRcUWewS2fwWHl6q9rADcqkP4C9D4cbAp4aj1GUlqe62oLWpCc3n/rePlcfCAgFZqzWBAK/CsV+Yzzpfm81uzmpusrCz27t3L+PHjC6zv0qUL27ZtK9Ex9u/fz7Zt2/jggw/KIsQKZfuZBGatOwXAlL4NJbERojzltbVpNLBsEhtQGxYf+xMO/gKd33uwnlgXdqmJjZMvuAUbLERRwXk3gL5zoPO7sOsb2DMfEs/Aqlfhvw/VHn7Nn4FKVQrul5agPnLNq5mJPQyKvmAZ56o3a2VaqV89albox52aJTfx8fHk5ubi5eVVYL2XlxexsbHF7lutWjWuXr1KTk4OEydO5Omnn75r2czMTDIzb01Ml5yc/GCBa0BRFKb/o/aMGtLCj/4h1TSOSAgzcuWo2o4AHbQZV3bnCWyj/vcbF6l28w1/gN5Yt3cBr8AfQKKMOPuojY7bvqbOXL/jK7geDRs/Vid7bTxITVAu7FITmqvHCh/DNUidjywvoakcYFQ/S5q2uQEKjaarKMo9R9jdvHkzqamp7Nixg/Hjx1OjRg2GDBlSZNkpU6YwadIkg8Wrha2nE9hz/hq2Vhb830O1tA5HCPOSNxpxvd5QpQx//3Q69T/rv/4Pdn8LYaPvf6LLc9LeRqCOnt1yNDR/Go7/qbbLubQX9i1SX7erUue2mplW4OyrTcwGolly4+HhgaWlZaFamri4uEK1OXcKCgoCoGHDhly5coWJEyfeNbmZMGEC48bd+m8rOTkZPz+/B4y+/CiKwsx/TwJqt29P51JO0CeEuH/xp9V5pADavlr252s4ECImqvNWnVkHNR8u/TGy0m7NVRXYxqDhCSNlaaUOOVCvj9rLaeccSLoEfi3URMY/3HBDG1QQmiU3NjY2hISEEBERQd++ffPXR0RE0Lt37xIfR1GUAo+d7mRra4utre0DxaqlbWfUWhsbKwtGt5dGgUKUqy0z1LYHtbqqvT/Kmm0ldVboHbPVbuH3k9xE71Abf7r4lV37IGGcdLqbPZrCtY6kzGn6WGrcuHEMGzaM0NBQwsPDmTt3LtHR0YwePRpQa10uXbrEokVq9dlXX32Fv78/deqoE8Bt2bKFTz/9lJdeMuCYExVIgVqbFv54Sa2NEOXnejQc+kVdbvta+Z23+dNqcnMqQh0rpLQ9nW7vAm5EbSSEMCRNk5tBgwaRkJDA5MmTiYmJoUGDBqxevZqAgAAAYmJiiI6Ozi+v1+uZMGEC586dw8rKiurVqzN16lSee+45rS6hTG07k8DuKLXW5vkOUmsjRLnaOgv0ORDUHvyal9953atDjYfhdATsngddPyrd/lFb1K8yn5QwY5qOc6MFYxnnRlEUBn2zg11RiYxoFcjEXjISsRDlJiUWZjZSJ7Qc/icElfPcTKci4KcB6sBo4yLVx1UlkZkCUwNAyYWxR6Cy8bQvFOJeSvP5LcPbVlDbzySwKypR2toIoYXtX6qJjV+YNj2OqndWx6fJTILDv5Z8v+gdamLjGiiJjTBrktxUQGpbG3XAvsdb+OPtIm1thCg36YnqDN2gtrXRot2KhYU62BrAzrlQ0gr2c5vUr9JLSpg5SW4qoO1nb9baWEqtjRDlbsccdSJC70b311vJUJo8DtYO6gBree1o7iW/MXE5P0YTooKR5KaCub3WZkgLP6m1EaI8ZSTBzm/U5XYa1drksa8MjQapyyWZLTwjCWIOqsvSmFiYOUluKpjtZxPYdU6ttXm+Qw2twxHCvOz+Tm3n4lEb6jyqdTTQ4ln16/FVkHSx+LLnt6tj8rhVN/rRZYV4UJLcVDCzbtbaDJZaGyHKV1aaOqMyqKMR3+/UB4bkVU9t0KzkqpMgFuf2+aSEMHMV4LdX5Nl+JoGd+bU20tZGiHK193tIT1B7GjXor3U0t+TV3uxdCNkZdy+X35hYkhshJLmpQPJGIx7cwg8fF3uNoxHCjORkwrbP1eU2/6fOxVNR1O4OztXUxCtvnqs7pSdC7GF1WXpKCSHJTUUhtTZmbPtXMLMhRG3VOhLzdeAnSIkBJ19oXPQkvJqxtILmI9XluzUsPr8NUMCjFjh5l1toQlRUktxUELPWqbU2g5pLrY1ZSY2D/z5Q5zH65XGIP6V1ROYnN1udIBOg9ctgVQEn2m02HCxt4PI+uLin8Pa8ruLySEoIQJKbCmHH2QR2nJVaG7O0dRZkp6vLGdfVIffT4jUNyewc/k1NLh081CSiInL0uNUOqKjaG2lMLEQBktxUAHk9pAY2r4ZvZam1MRspV9SJEQH6fA2V/eFalFqDU1zDUWE4+lzY8pm6HD4GbBy0jac4eQ2LjyxXa/zypCXAlSPqstTcCAFIcqO5HWcT2H42AWtLHS/IuDbmZetMyLkB1ZpD48HwxG/qRIkXdsLvz4Ner3WEpu/QrxB/EuxcoPnTWkdTvKrNoGoo6LPVnl15zt98JOVZT63hEUJIcqO1vFqbQc39pNbGnKTE3hq3pMMEdSTcKrVh0A9gYQVHl8P6D7WN0VRdv6C2sZndCn4fra4LGw12xc8yXCGEPad+3TNPbSsEcC5vygXpJSVEHkluNLTztlobGY3YzGyZATkZ6qzT1TvdWh/cHh692SV586ew7wdt4jM16YlqMjm/G8xsAP9OhLijYGENDQZAq5e1jrBk6vUGxypqz67jf6nr8ueTkkdSQuSpQIM5mJ9Z6262tQn1o6rU2piP5MuwZ4G6nFdrc7umT8C1c7BpGvw1Fir7QXCH8o7S+GWlw8k1aoPhUxHq45w8AW2g0WNqsmDvql2MpWVlCyFPwaZPYNe36nVcPQ7opOZGiNtIcqORXecS2XbmZlubjlJrY1a2zIDcTPAPv3vS0vFtSDwHR36DJU/CqH/As065hmmUcnPg3EY4vBSO/QlZqbe2eTVUE5oG/cGlmnYxPqjQp2DzdDi/FXZ+ra7zagAObtrGJUQFIsmNRvLGtXlMam3MS9IldRh9KLrWJo9OB72/UidLvLADfn4Mnl4HlTzLLVSjoShwaR8c/lXtSZR2W08iF39oOAAaDQTPutrFaEjOvlD3UYj8/db4PNIFXIgCJLnRwK5ziWw9nddDSsa1MStbPoPcLAhoDUHtii9rbQeDf4bvOquPqRYPhuF/VezuyuUp/rSa0BxeColnb623d4P6fdWExi/s7gmkMQt7Tk1ulFz1vTySEqIASW40cHutTTVX+aAyG0kXYd8idbm4WpvbObqrXcS/6wyX9sKK5+Cx7yvGjNVaSIlVa2cO/wqX999ab+2gzsHUaKDaQNvSWrsYy4N/uPoo6soRQAcBrbSOSIgKRZKbcrY7SmptzNbm6WqtTWDb0j1G8Kih1uAs6g3HVsK6ifDw5DILs8LJSFbbzxz+VZ35Wrk5/o/OUk1kGg1UExvbStrGWZ50OrX2ZuVLUDXEuBpFC1EOJLkpZ3nj2gwIkVobs3I9+la37g4TSr9/YGu1Dc6KZ9UpG1yD1IalpiwjCTZ9qk43kHPbiM3VWkDDx9RHT5WqaBef1poMVRM8vxZaRyJEhSPJTTnaE5XIltPxWFnoGNNRam3MyubpalfkoHZqonI/Gg9Sp2fY8BGselXtIl7jIYOGWSHk5sD+RfDfh5B+c54tj1rQcKDaONgtSNv4KgoLC3XYACFEIZLclKO8cW0eC60mtTbm5Np52P+jutzhrQc7Vvs31Mazh36BX0fAqLXgVf+BQ6wwzqyHtW+rA+wBuNeELh9ArUdMs2GwEKJMSHJTTvZEJbL5lFprI3NImZlN00CfA8EdISD8wY6l00Gvz9XGyee3wE8D4Zl14ORtmFi1En8a/vmfOugegF1l9fFd81Gm3zhYCGFwZtrlovzdXmvj5ya1NmYj8Rwc+Fld7viAtTZ5rGzVOajca0DyRfh5EGSlGebY5e3GNfh7AswOUxMbCyt1nqeX90PL0ZLYCCHuiyQ35WDveam1MVubPlXHIqne2bANPx3c4Iml4OAOMQdg2TOgzzXc8ctabjbsnAufN4Uds9WarZqPwPPbodvHMtquEOKBSHJTDmbm95CSWhuzknAGDi5Wlw1Va3M7t2C1i7ilLZxYBf+8Y/hzlIVTETCnFax5Xa25qVIXhi6HJ36FKrW0jk4IYQIkuSlje89fy6+1GSNzSJmXvFqbGg9DtdCyOYd/S+gzW13e8ZU6mWJFFXcMfugHPw2A+JNqrVOPz2D0FqjRWevohBAmRBoUl7G8tjb9m0mtjVlJOKP2aIL7G9emNBoOULuI//c+rHkDKvurvYsqirQEtfv6ngVqsmdhrQ5A1+51sK+sdXRCCBMkyU0Z2nv+GptOXpVaG3O08RN1JN2aj0C1kLI/X9tX1fmn9v8IS5+CkX+DT6OyP29xcrJg97ew4WPITFLX1empjq7sLuM8CSHKjiQ3Zej2Wht/d6m1MRvxp9SpAgA6jC+fc+p00HMmXL8A5zbCzwPVWcRdqpbP+W+nKHBitdoGKPGMus6rIXT96N6ThQohhAFIm5sysi9arbWxlFob85NXa1OrG1RtVn7ntbSGgYvAozakxMDiQZCZUn7nB4g9Aot6wS+Pq4mNoyf0+gKe2yiJjRCi3EhyU0by5pDq36yq1NqYk6sn4chv6nJ51drczr6y2uvIsQrEHobfRqrTGZS11DhY+TJ801ad3NLSFtqMg5f3QbMnwcKy7GMQQoib5LFUGdgffY2NN2ttXuxYU+twRHna+LFaa1O7B/g20SYG10AY8gss7AGn/oG/x0P3aaWfvkCvh+x0dYDArNSbX9Nuvc/blnQRds+DrJu1RPX7wkOTwDXA4JcmhBAlIclNGchra9OvqdTamJW443BkmbqsRa3N7aqFQr+58OuTaqNeCyu1F1WhRKWIpCVvObuUox77NoVHpjz4FBNCCPGAJLkxsP3R19hw4matTSdpa2NWNn4MKGqPIK17KgHU6632TIp4F3bOeYAD6cCmEtg43vaqVHA5uD00GKDOVC2EEBqT5MbAbq+1CXB31DgaUW6uRMLRFepyWY9rUxqtXgYrezjz310SkyISlTuXre1lRm4hhFGR5MaADly4LrU25mrjVEBRa0u8G2gdzS06HYQ9q76EEMJMSB2yAc369yQAfaXWxrzEHoHIPwAdtNe4rY0QQghJbgzl4IXrrM+rtZFxbczLxqnq1/p9wKuepqEIIYSoAMnN7NmzCQoKws7OjpCQEDZv3nzXssuXL+fhhx+mSpUqODs7Ex4eztq1a8sx2rur4VmJN7vW4alWgQR6SK2N2Yg5BMf+RGpthBCi4tA0uVmyZAljx47l7bffZv/+/bRt25Zu3boRHR1dZPlNmzbx8MMPs3r1avbu3UvHjh159NFH2b9/fzlHXpijrRXPd6jO/3rKf+5mZePH6tcG/cCzjraxCCGEAECnKIqi1cnDwsJo1qwZc+bc6qZat25d+vTpw5QpU0p0jPr16zNo0CDefffdEpVPTk7GxcWFpKQknJ2d7ytuIQCIOQjftAN0MGYnVKmtdURCCGGySvP5rVnNTVZWFnv37qVLly4F1nfp0oVt27aV6Bh6vZ6UlBTc3NzKIkQhirfhZlubhgMksRFCiApEs67g8fHx5Obm4uXlVWC9l5cXsbGxJTrG9OnTSUtLY+DAgXctk5mZSWZmZv775OTk+wtYiNtd3q/OfK2zgPZvah2NEEKI22jeoFh3x+BgiqIUWleUxYsXM3HiRJYsWYKnp+ddy02ZMgUXF5f8l5+f3wPHLMStWpvHwEPmDxNCiIpEs+TGw8MDS0vLQrU0cXFxhWpz7rRkyRJGjRrFr7/+ykMPPVRs2QkTJpCUlJT/unDhwgPHLszcpb1w8m+11qbdG1pHI4QQ4g6aJTc2NjaEhIQQERFRYH1ERAStWrW6636LFy9mxIgR/Pzzz/To0eOe57G1tcXZ2bnAS4gHkldr02gQeMiYRkIIUdFoOv3CuHHjGDZsGKGhoYSHhzN37lyio6MZPXo0oNa6XLp0iUWLFgFqYvPkk08ya9YsWrZsmV/rY29vj4uLi2bXIczIxT1w6h/QWUK717WORgghRBE0TW4GDRpEQkICkydPJiYmhgYNGrB69WoCAgIAiImJKTDmzTfffENOTg5jxoxhzJgx+euHDx/OwoULyzt8YY7Wf6R+bTwY3KtrG4sQQogiaTrOjRZknBtx3y7sgnkPq7U2L+0FtyCtIxJCCLNhFOPcCGF08mptmjwuiY0QQlRgmj6WEsJgblyDjGSwdVJfltaGPX70Dji7HiyspK2NEEJUcJLcCOMXdwy+exiyUm6ts7IDm0o3k51KYOt8x3snsHEq+L6odTZOYGl1W63NE+AaoM11CiGEKBFJboRxy8mEZU+riY3OAhT9zfUZ6is9/sHPYWUPOTfAwhravfbgxxNCCFGmJLkRxm3dZLhyBBzc4fnt4OAGmSnqKyv15nIqZCbffH9zXVbKbdvyyiYXfJ+ToZ4j54b6tfnTUNlfu2sVQghRIpLcCON15j/Y/qW63PsrcLo5srWDm/p6ULnZtxKl3GxpRCyEEEZCkhthnNISYMXz6nLoKKjdzfDnsLQ2XKIkhBCi3EhXcGF8FAVWvgSpseBRC7p8oHVEQgghKhBJboTx2fc9nFilNvDt/x3YOGgdkRBCiApEkhthXOJPwd8T1OXO74JPY23jEUIIUeFIciOMR06W2u07Ox2C2kH4i1pHJIQQogKS5EYYjw0fQcwBsKsMfb8BC/nxFUIIUZh8OgjjcG4zbJmpLvf6HJx9NQ1HCCFExSXJjaj4blyDFc8BCjQdBvV6ax2REEKICkySG1GxKQr8ORaSL4Fbdeg6VeuIhBBCVHCS3IiK7eBiiPxdnY27/7fqhJZCCCFEMSS5ERVX4llY/bq63PEtqBqibTxCCCGMgiQ3omLKzYZlz6gTWAa0htZjtY5ICCGEkZDkRlRMGz+BS3vA1uVmt29LrSMSQghhJCS5ERXP+e2w+VN1+dEZUNlP23iEEEIYFUluRMWSkQTLnwVFD42HQIP+WkckhBDCyEhyIyqWVa9BUjRUDoBun2gdjRBCCCMkyY2oOA79Cod/BZ2lOtu3nbPWEQkhhDBCktyIiuHaeVj1qrrc/g3wa6FtPEIIIYyWJDdCe7k5ajubzGSo1gLavqZ1REIIIYyYJDdCe1tmwIUdYOME/eaCpZXWEQkhhDBiktwIbV3cAxumqMs9PgW3IG3jEUIIYfQkuREqfS5cj1a/lpfMFFj2NCi50GAANBpUfucWQghhsqT+X8DVk7D8GYg5AA7uUKsb1OkB1TuCtX3ZnXfNeLh2Dlz8oMd00OnK7lxCCCHMhiQ35kxRYM88WPs/yLmhrktPgAM/qi9rB6jRGer0hJpdwMHNcOc+ukI9h85CbWdjX9lwxxZCCGHWJLkxV6lx8MeLcGqt+j64A/T6Aq5FwfFV6ivpAhz7U33pLCGwNdR5FOp0B5dq93/upIvw5yvqcptxENDqQa9GCCGEyKdTFEXROojylJycjIuLC0lJSTg7m+kgcSfWqIlNejxY2sLDk6DFc2BxWxMsRYGYg7cSnbijBY/h00St0anTAzzrlvyRkj4XFvWGqM3g2wxG/QOW1ga7NCGEEKapNJ/fktyYk6w0WPs27F2gvvdqAP2+Ba9699438eytRCd6B3Dbj41bsJrk1OkJ1ZoXP4P3lpnw73tg7QijN4N79Qe5IiGEEGZCkptimG1yc3Gv2mg48Yz6vtVL0OkdsLIt/bFSr8LJNWqic2Y95Gbe2uZYBWp3VxOdoHZgbXdr2+X98N3DoM+GXl9Cs2EPdk1CCCHMhiQ3xTC75CY3B7Z8Bhumql2unatCnzkQ3N4wx89MgdPr1ETn5FrITLq1zaYS1HhITXQC28D3j0LCKajbCwYukt5RQgghSkySm2KYVXKTeBaWPwcXd6nv6/eDnp+BvWvZnC8nC85vufX4KiWmcBknX3h+q2F7XgkhhDB5pfn8lt5SpkhR4MBPsOZNyEoFW2d1HJmGj5VtbYmVDVTvpL66TVMfQx3/S0104k+o3b77fi2JjRBCiDIlNTemJj0R/nxZ7b4NENBaTSgq+2sbV/xp9bFYldraxiGEEMIoSc2NuTq9Dn5/AVJjwcIaOr0NrV4uvvdSefGooXUEQgghzIQkN6Yg+wb8OxF2fq2+96ildvH2baJlVEIIIYQmJLkxdjGH1C7eV4+r71s8Cw9NAhsHbeMSQgghNCLJjbHS58L2L2Hd++q4MZW8oPdXUPNhrSMTQgghNGVx7yJla/bs2QQFBWFnZ0dISAibN2++a9mYmBgef/xxateujYWFBWPHji2/QCuS6xfUKQwi3lUTmzo94fltktgIIYQQaJzcLFmyhLFjx/L222+zf/9+2rZtS7du3YiOji6yfGZmJlWqVOHtt9+mcePG5RxtBXH4N5jTWp2bydpRnexy0I/g6KF1ZEIIIUSFoGlX8LCwMJo1a8acOXPy19WtW5c+ffowZcqUYvft0KEDTZo0YebMmaU6Z5l1Bc/NUQet0+cUfOVmq4+Q9Nn3+T7vWNlw9YQ6bgxA1VDoN1fmZhJCCGEWjKIreFZWFnv37mX8+PEF1nfp0oVt27YZ7DyZmZlkZt6a+yg5Odlgxy4gLQ5mNiibY99OZwnt34C2r4GlNJkSQggh7qTZp2N8fDy5ubl4eXkVWO/l5UVsbKzBzjNlyhQmTZpksOPdlYU1WNqChZWadFhYqevu+d4SLK0Lvrewum2d1a33ljZQvy9UbVb21yOEEEIYKc3/9dfdMR2AoiiF1j2ICRMmMG7cuPz3ycnJ+Pn5Gez4+SpVgXfiDH9cIYQQQpSKZsmNh4cHlpaWhWpp4uLiCtXmPAhbW1tsbW0NdjwhhBBCVGya9ZaysbEhJCSEiIiIAusjIiJo1aqVRlEJIYQQwthp+lhq3LhxDBs2jNDQUMLDw5k7dy7R0dGMHj0aUB8pXbp0iUWLFuXvc+DAAQBSU1O5evUqBw4cwMbGhnr16mlxCUIIIYSoYDRNbgYNGkRCQgKTJ08mJiaGBg0asHr1agICAgB10L47x7xp2rRp/vLevXv5+eefCQgIICoqqjxDF0IIIUQFpek4N1oos3FuhBBCCFFmSvP5rfn0C0IIIYQQhiTJjRBCCCFMiiQ3QgghhDApktwIIYQQwqRIciOEEEIIkyLJjRBCCCFMiiQ3QgghhDApktwIIYQQwqRIciOEEEIIk6Lp9AtayBuQOTk5WeNIhBBCCFFSeZ/bJZlYweySm5SUFAD8/Pw0jkQIIYQQpZWSkoKLi0uxZcxubim9Xs/ly5dxcnJCp9MZ9NjJycn4+flx4cIFk5+3ypyuFczreuVaTZc5Xa9cq+lRFIWUlBR8fX2xsCi+VY3Z1dxYWFhQrVq1Mj2Hs7OzSf+A3c6crhXM63rlWk2XOV2vXKtpuVeNTR5pUCyEEEIIkyLJjRBCCCFMiiQ3BmRra8t7772Hra2t1qGUOXO6VjCv65VrNV3mdL1yrebN7BoUCyGEEMK0Sc2NEEIIIUyKJDdCCCGEMCmS3AghhBDCpEhyI4QQQgiTIslNKc2ePZugoCDs7OwICQlh8+bNxZbfuHEjISEh2NnZERwczNdff11Okd6/KVOm0Lx5c5ycnPD09KRPnz6cOHGi2H02bNiATqcr9Dp+/Hg5RX3/Jk6cWChub2/vYvcxxvsKEBgYWOR9GjNmTJHljem+btq0iUcffRRfX190Oh2///57ge2KojBx4kR8fX2xt7enQ4cOHD169J7HXbZsGfXq1cPW1pZ69eqxYsWKMrqC0inuerOzs3nzzTdp2LAhjo6O+Pr68uSTT3L58uVij7lw4cIi73dGRkYZX03x7nVvR4wYUSjmli1b3vO4FfHe3utai7o/Op2OadOm3fWYFfW+liVJbkphyZIljB07lrfffpv9+/fTtm1bunXrRnR0dJHlz507R/fu3Wnbti379+/nrbfe4uWXX2bZsmXlHHnpbNy4kTFjxrBjxw4iIiLIycmhS5cupKWl3XPfEydOEBMTk/+qWbNmOUT84OrXr18g7sOHD9+1rLHeV4Ddu3cXuM6IiAgAHnvssWL3M4b7mpaWRuPGjfnyyy+L3P7JJ5/w2Wef8eWXX7J79268vb15+OGH8+ebK8r27dsZNGgQw4YN4+DBgwwbNoyBAweyc+fOsrqMEivuetPT09m3bx/vvPMO+/btY/ny5Zw8eZJevXrd87jOzs4F7nVMTAx2dnZlcQkldq97C9C1a9cCMa9evbrYY1bUe3uva73z3syfPx+dTkf//v2LPW5FvK9lShEl1qJFC2X06NEF1tWpU0cZP358keXfeOMNpU6dOgXWPffcc0rLli3LLMayEBcXpwDKxo0b71pm/fr1CqBcu3at/AIzkPfee09p3Lhxicubyn1VFEV55ZVXlOrVqyt6vb7I7cZ6XwFlxYoV+e/1er3i7e2tTJ06NX9dRkaG4uLionz99dd3Pc7AgQOVrl27Flj3yCOPKIMHDzZ4zA/izustyq5duxRAOX/+/F3LLFiwQHFxcTFscAZW1LUOHz5c6d27d6mOYwz3tiT3tXfv3kqnTp2KLWMM99XQpOamhLKysti7dy9dunQpsL5Lly5s27atyH22b99eqPwjjzzCnj17yM7OLrNYDS0pKQkANze3e5Zt2rQpPj4+dO7cmfXr15d1aAZz6tQpfH19CQoKYvDgwZw9e/auZU3lvmZlZfHjjz8ycuTIe04ia6z3Nc+5c+eIjY0tcN9sbW1p3779XX9/4e73urh9KqqkpCR0Oh2VK1cutlxqaioBAQFUq1aNnj17sn///vIJ8AFt2LABT09PatWqxTPPPENcXFyx5U3h3l65coVVq1YxatSoe5Y11vt6vyS5KaH4+Hhyc3Px8vIqsN7Ly4vY2Ngi94mNjS2yfE5ODvHx8WUWqyEpisK4ceNo06YNDRo0uGs5Hx8f5s6dy7Jly1i+fDm1a9emc+fObNq0qRyjvT9hYWEsWrSItWvX8u233xIbG0urVq1ISEgosrwp3FeA33//nevXrzNixIi7ljHm+3q7vN/R0vz+5u1X2n0qooyMDMaPH8/jjz9e7MSKderUYeHChaxcuZLFixdjZ2dH69atOXXqVDlGW3rdunXjp59+4r///mP69Ons3r2bTp06kZmZedd9TOHefv/99zg5OdGvX79iyxnrfX0QZjcr+IO68z9cRVGK/a+3qPJFra+oXnzxRQ4dOsSWLVuKLVe7dm1q166d/z48PJwLFy7w6aef0q5du7IO84F069Ytf7lhw4aEh4dTvXp1vv/+e8aNG1fkPsZ+XwHmzZtHt27d8PX1vWsZY76vRSnt7+/97lORZGdnM3jwYPR6PbNnzy62bMuWLQs0xG3dujXNmjXjiy++4PPPPy/rUO/boEGD8pcbNGhAaGgoAQEBrFq1qtgPfmO/t/Pnz+eJJ564Z9sZY72vD0JqbkrIw8MDS0vLQll9XFxcoew/j7e3d5HlrayscHd3L7NYDeWll15i5cqVrF+/nmrVqpV6/5YtWxrlfwaOjo40bNjwrrEb+30FOH/+PP/++y9PP/10qfc1xvua1/utNL+/efuVdp+KJDs7m4EDB3Lu3DkiIiKKrbUpioWFBc2bNze6++3j40NAQECxcRv7vd28eTMnTpy4r99hY72vpSHJTQnZ2NgQEhKS37skT0REBK1atSpyn/Dw8ELl//nnH0JDQ7G2ti6zWB+Uoii8+OKLLF++nP/++4+goKD7Os7+/fvx8fExcHRlLzMzk2PHjt01dmO9r7dbsGABnp6e9OjRo9T7GuN9DQoKwtvbu8B9y8rKYuPGjXf9/YW73+vi9qko8hKbU6dO8e+//95X4q0oCgcOHDC6+52QkMCFCxeKjduY7y2oNa8hISE0bty41Psa630tFa1aMhujX375RbG2tlbmzZunREZGKmPHjlUcHR2VqKgoRVEUZfz48cqwYcPyy589e1ZxcHBQ/u///k+JjIxU5s2bp1hbWyu//fabVpdQIs8//7zi4uKibNiwQYmJicl/paen55e581pnzJihrFixQjl58qRy5MgRZfz48QqgLFu2TItLKJVXX31V2bBhg3L27Fllx44dSs+ePRUnJyeTu695cnNzFX9/f+XNN98stM2Y72tKSoqyf/9+Zf/+/QqgfPbZZ8r+/fvzewdNnTpVcXFxUZYvX64cPnxYGTJkiOLj46MkJyfnH2PYsGEFej9u3bpVsbS0VKZOnaocO3ZMmTp1qmJlZaXs2LGj3K/vTsVdb3Z2ttKrVy+lWrVqyoEDBwr8HmdmZuYf487rnThxovL3338rZ86cUfbv36889dRTipWVlbJz504tLjFfcdeakpKivPrqq8q2bduUc+fOKevXr1fCw8OVqlWrGuW9vdfPsaIoSlJSkuLg4KDMmTOnyGMYy30tS5LclNJXX32lBAQEKDY2NkqzZs0KdI8ePny40r59+wLlN2zYoDRt2lSxsbFRAgMD7/rDWJEARb4WLFiQX+bOa/3444+V6tWrK3Z2doqrq6vSpk0bZdWqVeUf/H0YNGiQ4uPjo1hbWyu+vr5Kv379lKNHj+ZvN5X7mmft2rUKoJw4caLQNmO+r3nd1u98DR8+XFEUtTv4e++9p3h7eyu2trZKu3btlMOHDxc4Rvv27fPL51m6dKlSu3ZtxdraWqlTp06FSeyKu95z587d9fd4/fr1+ce483rHjh2r+Pv7KzY2NkqVKlWULl26KNu2bSv/i7tDcdeanp6udOnSRalSpYpibW2t+Pv7K8OHD1eio6MLHMNY7u29fo4VRVG++eYbxd7eXrl+/XqRxzCW+1qWdIpysyWkEEIIIYQJkDY3QgghhDApktwIIYQQwqRIciOEEEIIkyLJjRBCCCFMiiQ3QgghhDApktwIIYQQwqRIciOEEEIIkyLJjRDCLOl0On7//XetwxBClAFJboQQ5W7EiBHodLpCr65du2odmhDCBFhpHYAQwjx17dqVBQsWFFhna2urUTRCCFMiNTdCCE3Y2tri7e1d4OXq6gqoj4zmzJlDt27dsLe3JygoiKVLlxbY//Dhw3Tq1Al7e3vc3d159tlnSU1NLVBm/vz51K9fH1tbW3x8fHjxxRcLbI+Pj6dv3744ODhQs2ZNVq5cmb/t2rVrPPHEE1SpUgV7e3tq1qxZKBkTQlRMktwIISqkd955h/79+3Pw4EGGDh3KkCFDOHbsGADp6el07doVV1dXdu/ezdKlS/n3338LJC9z5sxhzJgxPPvssxw+fJiVK1dSo0aNAueYNGkSAwcO5NChQ3Tv3p0nnniCxMTE/PNHRkayZs0ajh07xpw5c/Dw8Ci/b4AQ4v5pPXOnEML8DB8+XLG0tFQcHR0LvCZPnqwoijoz/ejRowvsExYWpjz//POKoijK3LlzFVdXVyU1NTV/+6pVqxQLCwslNjZWURRF8fX1Vd5+++27xgAo//vf//Lfp6amKjqdTlmzZo2iKIry6KOPKk899ZRhLlgIUa6kzY0QQhMdO3Zkzpw5Bda5ubnlL4eHhxfYFh4ezoEDBwA4duwYjRs3xtHRMX9769at0ev1nDhxAp1Ox+XLl+ncuXOxMTRq1Ch/2dHREScnJ+Li4gB4/vnn6d+/P/v27aNLly706dOHVq1a3de1CiHKlyQ3QghNODo6FnpMdC86nQ4ARVHyl4sqY29vX6LjWVtbF9pXr9cD0K1bN86fP8+qVav4999/6dy5M2PGjOHTTz8tVcxCiPInbW6EEBXSjh07Cr2vU6cOAPXq1ePAgQOkpaXlb9+6dSsWFhbUqlULJycnAgMDWbdu3QPFUKVKFUaMGMGPP/7IzJkzmTt37gMdTwhRPqTmRgihiczMTGJjYwuss7Kyym+0u3TpUkJDQ2nTpg0//fQTu3btYt68eQA88cQTvPfeewwfPpyJEydy9epVXnrpJYYNG4aXlxcAEydOZPTo0Xh6etKtWzdSUlLYunUrL730Uonie/fddwkJCaF+/fpkZmby119/UbduXQN+B4QQZUWSGyGEJv7++298fHwKrKtduzbHjx8H1J5Mv/zyCy+88ALe3t789NNP1KtXDwAHBwfWrl3LK6+8QvPmzXFwcKB///589tln+ccaPnw4GRkZzJgxg9deew0PDw8GDBhQ4vhsbGyYMGECUVFR2Nvb07ZtW3755RcDXLkQoqzpFEVRtA5CCCFup9PpWLFiBX369NE6FCGEEZI2N0IIIYQwKZLcCCGEEMKkSJsbIUSFI0/LhRAPQmpuhBBCCGFSJLkRQgghhEmR5EYIIYQQJkWSGyGEEEKYFEluhBBCCGFSJLkRQgghhEmR5EYIIYQQJkWSGyGEEEKYFEluhBBCCGFS/h8iDSKBVcAdGAAAAABJRU5ErkJggg==\n",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Accuracy Plot\n",
    "plt.plot(history_4.history['accuracy'], label='Train Acc')\n",
    "plt.plot(history_4.history['val_accuracy'], label='Test Acc')\n",
    "plt.title('Model 4 Accuracy')\n",
    "plt.ylabel('Accuracy')\n",
    "plt.xlabel('Epochs')\n",
    "plt.legend()\n",
    "plt.show()\n",
    "\n",
    "# Loss Plot\n",
    "plt.plot(history_4.history['loss'], label='Train Loss')\n",
    "plt.plot(history_4.history['val_loss'], label='Test Loss')\n",
    "plt.title('Model 4 Loss')\n",
    "plt.ylabel('Loss')\n",
    "plt.xlabel('Epochs')\n",
    "plt.legend()\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "4635a96b",
   "metadata": {
    "papermill": {
     "duration": 2.318404,
     "end_time": "2023-04-22T21:17:48.955824",
     "exception": false,
     "start_time": "2023-04-22T21:17:46.637420",
     "status": "completed"
    },
    "tags": []
   },
   "source": [
    "# 2.5 Model 5 (Batch Size = 64, Dropout = 0, Optimizer = SGD)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 31,
   "id": "2764326a",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2023-04-22T21:17:53.532971Z",
     "iopub.status.busy": "2023-04-22T21:17:53.532548Z",
     "iopub.status.idle": "2023-04-22T21:17:58.312137Z",
     "shell.execute_reply": "2023-04-22T21:17:58.311079Z"
    },
    "papermill": {
     "duration": 7.033915,
     "end_time": "2023-04-22T21:17:58.314787",
     "exception": false,
     "start_time": "2023-04-22T21:17:51.280872",
     "status": "completed"
    },
    "tags": []
   },
   "outputs": [],
   "source": [
    "# define parameters and generate model\n",
    "batch_size = 64\n",
    "dropout = 0\n",
    "optimizer = 'SGD'\n",
    "\n",
    "model_5 = create_model(dropout)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 32,
   "id": "a6924da1",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2023-04-22T21:18:02.833748Z",
     "iopub.status.busy": "2023-04-22T21:18:02.833373Z",
     "iopub.status.idle": "2023-04-22T21:18:02.855703Z",
     "shell.execute_reply": "2023-04-22T21:18:02.854742Z"
    },
    "papermill": {
     "duration": 2.269968,
     "end_time": "2023-04-22T21:18:02.857811",
     "exception": false,
     "start_time": "2023-04-22T21:18:00.587843",
     "status": "completed"
    },
    "tags": []
   },
   "outputs": [],
   "source": [
    "# compile model\n",
    "model_5.compile(loss='categorical_crossentropy', optimizer=optimizer, metrics=['accuracy'])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 33,
   "id": "2171af4b",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2023-04-22T21:18:07.552349Z",
     "iopub.status.busy": "2023-04-22T21:18:07.551961Z",
     "iopub.status.idle": "2023-04-22T21:46:09.325755Z",
     "shell.execute_reply": "2023-04-22T21:46:09.324589Z"
    },
    "papermill": {
     "duration": 1684.218643,
     "end_time": "2023-04-22T21:46:09.328828",
     "exception": false,
     "start_time": "2023-04-22T21:18:05.110185",
     "status": "completed"
    },
    "tags": []
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Epoch 1/20\n",
      "665/665 [==============================] - 129s 125ms/step - loss: 2.0137 - accuracy: 0.2422 - val_loss: 8639.5596 - val_accuracy: 0.0999\n",
      "Epoch 2/20\n",
      "665/665 [==============================] - 79s 119ms/step - loss: 1.7799 - accuracy: 0.3408 - val_loss: 2.4405 - val_accuracy: 0.1240\n",
      "Epoch 3/20\n",
      "665/665 [==============================] - 80s 120ms/step - loss: 1.5967 - accuracy: 0.4105 - val_loss: 3.7652 - val_accuracy: 0.0865\n",
      "Epoch 4/20\n",
      "665/665 [==============================] - 80s 120ms/step - loss: 1.5649 - accuracy: 0.4240 - val_loss: 2.6053 - val_accuracy: 0.1153\n",
      "Epoch 5/20\n",
      "665/665 [==============================] - 79s 119ms/step - loss: 1.5037 - accuracy: 0.4453 - val_loss: 2.0193 - val_accuracy: 0.2504\n",
      "Epoch 6/20\n",
      "665/665 [==============================] - 81s 122ms/step - loss: 1.3879 - accuracy: 0.4931 - val_loss: 1.9381 - val_accuracy: 0.3233\n",
      "Epoch 7/20\n",
      "665/665 [==============================] - 80s 120ms/step - loss: 1.2957 - accuracy: 0.5308 - val_loss: 1.6936 - val_accuracy: 0.3677\n",
      "Epoch 8/20\n",
      "665/665 [==============================] - 80s 120ms/step - loss: 1.2166 - accuracy: 0.5651 - val_loss: 2.3467 - val_accuracy: 0.2464\n",
      "Epoch 9/20\n",
      "665/665 [==============================] - 82s 123ms/step - loss: 1.1566 - accuracy: 0.5880 - val_loss: 3.1793 - val_accuracy: 0.1285\n",
      "Epoch 10/20\n",
      "665/665 [==============================] - 80s 120ms/step - loss: 1.4466 - accuracy: 0.4757 - val_loss: 1.8964 - val_accuracy: 0.3439\n",
      "Epoch 11/20\n",
      "665/665 [==============================] - 79s 119ms/step - loss: 1.2163 - accuracy: 0.5633 - val_loss: 1.8045 - val_accuracy: 0.3528\n",
      "Epoch 12/20\n",
      "665/665 [==============================] - 81s 121ms/step - loss: 1.1177 - accuracy: 0.6026 - val_loss: 2.7850 - val_accuracy: 0.2873\n",
      "Epoch 13/20\n",
      "665/665 [==============================] - 79s 118ms/step - loss: 1.0458 - accuracy: 0.6307 - val_loss: 4.0298 - val_accuracy: 0.2657\n",
      "Epoch 14/20\n",
      "665/665 [==============================] - 79s 119ms/step - loss: 1.0206 - accuracy: 0.6378 - val_loss: 1.6719 - val_accuracy: 0.4248\n",
      "Epoch 15/20\n",
      "665/665 [==============================] - 80s 121ms/step - loss: 0.9049 - accuracy: 0.6838 - val_loss: 1.7239 - val_accuracy: 0.4613\n",
      "Epoch 16/20\n",
      "665/665 [==============================] - 79s 119ms/step - loss: 0.7993 - accuracy: 0.7238 - val_loss: 1.4838 - val_accuracy: 0.4955\n",
      "Epoch 17/20\n",
      "665/665 [==============================] - 79s 119ms/step - loss: 0.7202 - accuracy: 0.7493 - val_loss: 1.6595 - val_accuracy: 0.4977\n",
      "Epoch 18/20\n",
      "665/665 [==============================] - 80s 121ms/step - loss: 0.6516 - accuracy: 0.7731 - val_loss: 1.7662 - val_accuracy: 0.4932\n",
      "Epoch 19/20\n",
      "665/665 [==============================] - 79s 119ms/step - loss: 0.5879 - accuracy: 0.7941 - val_loss: 3.9490 - val_accuracy: 0.1855\n",
      "Epoch 20/20\n",
      "665/665 [==============================] - 80s 120ms/step - loss: 0.7019 - accuracy: 0.7577 - val_loss: 7.3402 - val_accuracy: 0.1880\n"
     ]
    }
   ],
   "source": [
    "# train model\n",
    "history_5 = model_5.fit(X_train, y_train, validation_split=0.15, \n",
    "            batch_size=batch_size, epochs=epochs, verbose=1)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 34,
   "id": "3d3edc7b",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2023-04-22T21:46:15.463396Z",
     "iopub.status.busy": "2023-04-22T21:46:15.462321Z",
     "iopub.status.idle": "2023-04-22T21:46:26.070701Z",
     "shell.execute_reply": "2023-04-22T21:46:26.066690Z"
    },
    "papermill": {
     "duration": 13.584994,
     "end_time": "2023-04-22T21:46:26.074180",
     "exception": false,
     "start_time": "2023-04-22T21:46:12.489186",
     "status": "completed"
    },
    "tags": []
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Train Loss: 0.7019131183624268\n",
      "Train Acc: 0.7577411532402039\n",
      "\n",
      "Test Loss: 7.316009998321533\n",
      "Test Acc: 0.1914999932050705\n"
     ]
    }
   ],
   "source": [
    "# train model results\n",
    "print('Train Loss:', history_5.history['loss'][-1])\n",
    "print('Train Acc:', history_5.history['accuracy'][-1])\n",
    "\n",
    "\n",
    "# validation results\n",
    "val_loss, val_acc = model_5.evaluate(X_test, y_test, verbose=0)\n",
    "\n",
    "print('\\nTest Loss:', val_loss)\n",
    "print('Test Acc:', val_acc)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 35,
   "id": "6e9dd26f",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2023-04-22T21:46:32.588568Z",
     "iopub.status.busy": "2023-04-22T21:46:32.588170Z",
     "iopub.status.idle": "2023-04-22T21:46:33.036217Z",
     "shell.execute_reply": "2023-04-22T21:46:33.035216Z"
    },
    "papermill": {
     "duration": 3.511655,
     "end_time": "2023-04-22T21:46:33.039029",
     "exception": false,
     "start_time": "2023-04-22T21:46:29.527374",
     "status": "completed"
    },
    "tags": []
   },
   "outputs": [
    {
     "data": {
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\n",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Accuracy Plot\n",
    "plt.plot(history_5.history['accuracy'], label='Train Acc')\n",
    "plt.plot(history_5.history['val_accuracy'], label='Test Acc')\n",
    "plt.title('Model 5 Accuracy')\n",
    "plt.ylabel('Accuracy')\n",
    "plt.xlabel('Epochs')\n",
    "plt.legend()\n",
    "plt.show()\n",
    "\n",
    "# Loss Plot\n",
    "plt.plot(history_5.history['loss'], label='Train Loss')\n",
    "plt.plot(history_5.history['val_loss'], label='Test Loss')\n",
    "plt.title('Model 5 Loss')\n",
    "plt.ylabel('Loss')\n",
    "plt.xlabel('Epochs')\n",
    "plt.legend()\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "748667b2",
   "metadata": {
    "papermill": {
     "duration": 2.978001,
     "end_time": "2023-04-22T21:46:39.100307",
     "exception": false,
     "start_time": "2023-04-22T21:46:36.122306",
     "status": "completed"
    },
    "tags": []
   },
   "source": [
    "# 2.6 Model 6 (Batch Size = 64, Dropout = 0.4, Optimizer = SGD)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 36,
   "id": "0514f23b",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2023-04-22T21:46:45.275227Z",
     "iopub.status.busy": "2023-04-22T21:46:45.274851Z",
     "iopub.status.idle": "2023-04-22T21:46:49.968917Z",
     "shell.execute_reply": "2023-04-22T21:46:49.967926Z"
    },
    "papermill": {
     "duration": 7.78389,
     "end_time": "2023-04-22T21:46:49.971792",
     "exception": false,
     "start_time": "2023-04-22T21:46:42.187902",
     "status": "completed"
    },
    "tags": []
   },
   "outputs": [],
   "source": [
    "# define parameters and generate model\n",
    "batch_size = 64\n",
    "dropout = 0.4\n",
    "optimizer = 'SGD'\n",
    "\n",
    "model_6 = create_model(dropout)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 37,
   "id": "698c6eaf",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2023-04-22T21:46:56.163327Z",
     "iopub.status.busy": "2023-04-22T21:46:56.162221Z",
     "iopub.status.idle": "2023-04-22T21:46:56.184861Z",
     "shell.execute_reply": "2023-04-22T21:46:56.183894Z"
    },
    "papermill": {
     "duration": 3.239624,
     "end_time": "2023-04-22T21:46:56.187065",
     "exception": false,
     "start_time": "2023-04-22T21:46:52.947441",
     "status": "completed"
    },
    "tags": []
   },
   "outputs": [],
   "source": [
    "# compile model\n",
    "model_6.compile(loss='categorical_crossentropy', optimizer=optimizer, metrics=['accuracy'])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 38,
   "id": "4e9957f1",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2023-04-22T21:47:02.882168Z",
     "iopub.status.busy": "2023-04-22T21:47:02.881778Z",
     "iopub.status.idle": "2023-04-22T22:15:02.708490Z",
     "shell.execute_reply": "2023-04-22T22:15:02.707309Z"
    },
    "papermill": {
     "duration": 1682.928624,
     "end_time": "2023-04-22T22:15:02.711285",
     "exception": false,
     "start_time": "2023-04-22T21:46:59.782661",
     "status": "completed"
    },
    "tags": []
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Epoch 1/20\n",
      "665/665 [==============================] - 128s 127ms/step - loss: 2.0375 - accuracy: 0.2300 - val_loss: 2.4337 - val_accuracy: 0.1709\n",
      "Epoch 2/20\n",
      "665/665 [==============================] - 80s 120ms/step - loss: 1.7821 - accuracy: 0.3286 - val_loss: 2.4656 - val_accuracy: 0.1536\n",
      "Epoch 3/20\n",
      "665/665 [==============================] - 80s 121ms/step - loss: 1.6286 - accuracy: 0.3988 - val_loss: 2.6187 - val_accuracy: 0.1028\n",
      "Epoch 4/20\n",
      "665/665 [==============================] - 81s 122ms/step - loss: 1.5615 - accuracy: 0.4261 - val_loss: 5271647.0000 - val_accuracy: 0.0984\n",
      "Epoch 5/20\n",
      "665/665 [==============================] - 80s 121ms/step - loss: 1.9206 - accuracy: 0.3036 - val_loss: 16.8855 - val_accuracy: 0.1421\n",
      "Epoch 6/20\n",
      "665/665 [==============================] - 80s 120ms/step - loss: 1.7589 - accuracy: 0.3566 - val_loss: 1.9896 - val_accuracy: 0.2809\n",
      "Epoch 7/20\n",
      "665/665 [==============================] - 80s 121ms/step - loss: 1.6078 - accuracy: 0.4145 - val_loss: 2.4728 - val_accuracy: 0.2981\n",
      "Epoch 8/20\n",
      "665/665 [==============================] - 80s 120ms/step - loss: 1.5282 - accuracy: 0.4437 - val_loss: 1.6567 - val_accuracy: 0.4059\n",
      "Epoch 9/20\n",
      "665/665 [==============================] - 80s 120ms/step - loss: 1.4558 - accuracy: 0.4712 - val_loss: 2.0059 - val_accuracy: 0.2905\n",
      "Epoch 10/20\n",
      "665/665 [==============================] - 79s 120ms/step - loss: 1.4051 - accuracy: 0.4920 - val_loss: 1.8046 - val_accuracy: 0.3616\n",
      "Epoch 11/20\n",
      "665/665 [==============================] - 80s 121ms/step - loss: 1.3524 - accuracy: 0.5136 - val_loss: 1.8850 - val_accuracy: 0.3323\n",
      "Epoch 12/20\n",
      "665/665 [==============================] - 79s 120ms/step - loss: 1.2905 - accuracy: 0.5374 - val_loss: 3.3568 - val_accuracy: 0.1451\n",
      "Epoch 13/20\n",
      "665/665 [==============================] - 80s 120ms/step - loss: 1.4417 - accuracy: 0.4813 - val_loss: 1.5797 - val_accuracy: 0.4535\n",
      "Epoch 14/20\n",
      "665/665 [==============================] - 81s 122ms/step - loss: 1.2703 - accuracy: 0.5467 - val_loss: 2.3540 - val_accuracy: 0.3112\n",
      "Epoch 15/20\n",
      "665/665 [==============================] - 82s 124ms/step - loss: 1.2382 - accuracy: 0.5560 - val_loss: 1.7881 - val_accuracy: 0.3903\n",
      "Epoch 16/20\n",
      "665/665 [==============================] - 81s 121ms/step - loss: 1.1511 - accuracy: 0.5906 - val_loss: 1.5207 - val_accuracy: 0.4695\n",
      "Epoch 17/20\n",
      "665/665 [==============================] - 80s 120ms/step - loss: 1.0876 - accuracy: 0.6161 - val_loss: 1.8404 - val_accuracy: 0.3825\n",
      "Epoch 18/20\n",
      "665/665 [==============================] - 80s 120ms/step - loss: 1.0413 - accuracy: 0.6345 - val_loss: 1.7012 - val_accuracy: 0.4036\n",
      "Epoch 19/20\n",
      "665/665 [==============================] - 81s 122ms/step - loss: 0.9846 - accuracy: 0.6556 - val_loss: 1.8919 - val_accuracy: 0.3819\n",
      "Epoch 20/20\n",
      "665/665 [==============================] - 81s 122ms/step - loss: 0.9487 - accuracy: 0.6665 - val_loss: 3.7905 - val_accuracy: 0.2164\n"
     ]
    }
   ],
   "source": [
    "# train model\n",
    "history_6 = model_6.fit(X_train, y_train, validation_split=0.15, \n",
    "            batch_size=batch_size, epochs=epochs, verbose=1)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 39,
   "id": "15b9166f",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2023-04-22T22:15:11.168186Z",
     "iopub.status.busy": "2023-04-22T22:15:11.167788Z",
     "iopub.status.idle": "2023-04-22T22:15:22.098785Z",
     "shell.execute_reply": "2023-04-22T22:15:22.097681Z"
    },
    "papermill": {
     "duration": 15.401378,
     "end_time": "2023-04-22T22:15:22.101020",
     "exception": false,
     "start_time": "2023-04-22T22:15:06.699642",
     "status": "completed"
    },
    "tags": []
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Train Loss: 0.9487060904502869\n",
      "Train Acc: 0.6664941310882568\n",
      "\n",
      "Test Loss: 3.8250246047973633\n",
      "Test Acc: 0.21539999544620514\n"
     ]
    }
   ],
   "source": [
    "# train model results\n",
    "print('Train Loss:', history_6.history['loss'][-1])\n",
    "print('Train Acc:', history_6.history['accuracy'][-1])\n",
    "\n",
    "\n",
    "# validation results\n",
    "val_loss, val_acc = model_6.evaluate(X_test, y_test, verbose=0)\n",
    "\n",
    "print('\\nTest Loss:', val_loss)\n",
    "print('Test Acc:', val_acc)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 40,
   "id": "3258badd",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2023-04-22T22:15:29.868883Z",
     "iopub.status.busy": "2023-04-22T22:15:29.868487Z",
     "iopub.status.idle": "2023-04-22T22:15:30.404841Z",
     "shell.execute_reply": "2023-04-22T22:15:30.403795Z"
    },
    "papermill": {
     "duration": 4.34146,
     "end_time": "2023-04-22T22:15:30.407250",
     "exception": false,
     "start_time": "2023-04-22T22:15:26.065790",
     "status": "completed"
    },
    "tags": []
   },
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Accuracy Plot\n",
    "plt.plot(history_6.history['accuracy'], label='Train Acc')\n",
    "plt.plot(history_6.history['val_accuracy'], label='Test Acc')\n",
    "plt.title('Model 6 Accuracy')\n",
    "plt.ylabel('Accuracy')\n",
    "plt.xlabel('Epochs')\n",
    "plt.legend()\n",
    "plt.show()\n",
    "\n",
    "# Loss Plot\n",
    "plt.plot(history_6.history['loss'], label='Train Loss')\n",
    "plt.plot(history_6.history['val_loss'], label='Test Loss')\n",
    "plt.title('Model 6 Loss')\n",
    "plt.ylabel('Loss')\n",
    "plt.xlabel('Epochs')\n",
    "plt.legend()\n",
    "plt.show()"
   ]
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.7.12"
  },
  "papermill": {
   "default_parameters": {},
   "duration": 9278.962876,
   "end_time": "2023-04-22T22:15:38.288500",
   "environment_variables": {},
   "exception": null,
   "input_path": "__notebook__.ipynb",
   "output_path": "__notebook__.ipynb",
   "parameters": {},
   "start_time": "2023-04-22T19:40:59.325624",
   "version": "2.4.0"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 5
}