LSTM-AE.ipynb

{
 "cells": [
  {
   "cell_type": "markdown",
   "id": "de1566c5",
   "metadata": {},
   "source": [
    "## Long short-term memory autoencoder\n",
    "\n",
    "*Autoencoder* — архитектура нейронной сети, которая по входным данным получает выходные данные той же размерности. В зависимости от типа может иметь один или несколько скрытых слоев. Автоенкодеры имеют два модуля: кодировщик (encoder) и декодировщик (decoder). Кодировщик работает со здоровыми данными и изучает как устроены нормальные рабочие процессы системы, а затем сжимает данные в скрытое представление. Декодировщик пытается восстановить из этого представления выходные данные. Все что на выходе не соответсвует нормальному состоянию системы будет определено как аномалия. **Цель** — получить на выходном слое отклик, наиболее близкий к входному.\n",
    "\n",
    "<img src=\"./img/ae_scheme.png\" alt=\"Drawing\" style=\"width: 600px; height: 350px\"/>"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "e2ad458a",
   "metadata": {},
   "source": [
    "В скрытых слоях используется реккурентный слой LSTM. В отличие от обычного реккурентного слоя, слой LSTM дополнительную имеет память и устроен более хитро, но благодаря этому может запоминать больший контекст входной последовательности.\n",
    "\n",
    "\n",
    "<img src=\"./img/lstm_cell.png\" alt=\"Drawing\" style=\"width: 600px; height: 230px\"/>"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "2a4809af",
   "metadata": {},
   "source": [
    "Помимо обычного входа и выхода, LSTM слой имеет прямую состояния, которая отвечает за запоминание и располагается вдоль всего слоя. На рисунке это верхняя горизонтальная прямая. Чтобы добавить, удалить или получить информацию из состояния существуют gates (гейты). \n",
    "\n",
    "1. Первый гейт отвечает за то, какую информацию нужно выбросить из состояния, он называется forget gate (гейт забывания). Решение принимается с помощью сигмоиды, область значений которой определена на интервале $[0, 1]$. Значение $0$ говорит о том, что вообще не нужно пропускать информацию дальше, значение $1$  пропускает информацию полностью.\n",
    "\n",
    "\n",
    "2. Следующий шаг заключается в том, какую новую информацию необходимо сохранить в состояние, это input gate (входной гейт). Здесь есть три этапа. На первом через сигмоиду решается, какие значения в состоянии нужно обновить. На втором с помощью гиперболического тангенса (область значений которого интервал $[-1, 1]$), определяется \"направление сохранения\", т.е. на сколько нужно уменьшить или увеличить значение в состоянии. Третий этап это поэлементное умножение векторов (результирующий эффект обновления и направления) из предыдущих двух этапов и поэлементное сложение с вектором состояния, полученного из предыдущего гейта. \n",
    "\n",
    "После этого шага вектор состояния больше меняться не будет, в полученном виде он пойдет на следующую итерацию.\n",
    "\n",
    "3. Осталось решить, что пойдет на выход, и за это отвечает третий гейт, который называется output gate (выходной гейт). На этом шаге сигмоида решает, что из вектора состояния, пропущенного через гиперболический тангенс, пойдет на выход. Можно провести аналогию со вторым шагом, только теперь тангенс является фильтром для вектора состояния, его контекст, накопленный в процессе обучения, помогает скорректировать выход на следующую итерацию."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "id": "b831c17c",
   "metadata": {},
   "outputs": [],
   "source": [
    "import matplotlib.pyplot as plt\n",
    "import pandas as pd\n",
    "import numpy as np\n",
    "\n",
    "import warnings \n",
    "warnings.filterwarnings('ignore')\n",
    "\n",
    "from utils.data import create_sequences\n",
    "from sklearn.preprocessing import StandardScaler\n",
    "from utils.metrics import mar, far, f1_score\n",
    "\n",
    "from models.lstm_ae import LSTM_AE"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "97072229",
   "metadata": {},
   "source": [
    "### Seed fixation"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "id": "1f3a4966",
   "metadata": {},
   "outputs": [],
   "source": [
    "seed_value = 42\n",
    "\n",
    "import os\n",
    "os.environ['PYTHONHASHSEED'] = str(seed_value)\n",
    "\n",
    "import random\n",
    "random.seed(seed_value)\n",
    "\n",
    "import numpy as np\n",
    "np.random.seed(seed_value)\n",
    "\n",
    "import tensorflow as tf\n",
    "tf.random.set_seed(seed_value)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "ff12b665",
   "metadata": {},
   "source": [
    "### Process data"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "id": "56cc280f",
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "\n",
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       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Accelerometer1RMS</th>\n",
       "      <th>Accelerometer2RMS</th>\n",
       "      <th>Current</th>\n",
       "      <th>Pressure</th>\n",
       "      <th>Temperature</th>\n",
       "      <th>Thermocouple</th>\n",
       "      <th>Voltage</th>\n",
       "      <th>Volume Flow RateRMS</th>\n",
       "      <th>anomaly</th>\n",
       "      <th>changepoint</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>datetime</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
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       "      <th></th>\n",
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       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>2020-03-09 10:14:33</th>\n",
       "      <td>0.026588</td>\n",
       "      <td>0.040111</td>\n",
       "      <td>1.33020</td>\n",
       "      <td>0.054711</td>\n",
       "      <td>79.3366</td>\n",
       "      <td>26.0199</td>\n",
       "      <td>233.062</td>\n",
       "      <td>32.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2020-03-09 10:14:34</th>\n",
       "      <td>0.026170</td>\n",
       "      <td>0.040453</td>\n",
       "      <td>1.35399</td>\n",
       "      <td>0.382638</td>\n",
       "      <td>79.5158</td>\n",
       "      <td>26.0258</td>\n",
       "      <td>236.040</td>\n",
       "      <td>32.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2020-03-09 10:14:35</th>\n",
       "      <td>0.026199</td>\n",
       "      <td>0.039419</td>\n",
       "      <td>1.54006</td>\n",
       "      <td>0.710565</td>\n",
       "      <td>79.3756</td>\n",
       "      <td>26.0265</td>\n",
       "      <td>251.380</td>\n",
       "      <td>32.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
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       "    <tr>\n",
       "      <th>2020-03-09 10:14:36</th>\n",
       "      <td>0.026027</td>\n",
       "      <td>0.039641</td>\n",
       "      <td>1.33458</td>\n",
       "      <td>0.382638</td>\n",
       "      <td>79.6097</td>\n",
       "      <td>26.0393</td>\n",
       "      <td>234.392</td>\n",
       "      <td>32.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2020-03-09 10:14:37</th>\n",
       "      <td>0.026290</td>\n",
       "      <td>0.040273</td>\n",
       "      <td>1.07851</td>\n",
       "      <td>-0.273216</td>\n",
       "      <td>79.6109</td>\n",
       "      <td>26.0420</td>\n",
       "      <td>225.342</td>\n",
       "      <td>32.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                     Accelerometer1RMS  Accelerometer2RMS  Current  Pressure  \\\n",
       "datetime                                                                       \n",
       "2020-03-09 10:14:33           0.026588           0.040111  1.33020  0.054711   \n",
       "2020-03-09 10:14:34           0.026170           0.040453  1.35399  0.382638   \n",
       "2020-03-09 10:14:35           0.026199           0.039419  1.54006  0.710565   \n",
       "2020-03-09 10:14:36           0.026027           0.039641  1.33458  0.382638   \n",
       "2020-03-09 10:14:37           0.026290           0.040273  1.07851 -0.273216   \n",
       "\n",
       "                     Temperature  Thermocouple  Voltage  Volume Flow RateRMS  \\\n",
       "datetime                                                                       \n",
       "2020-03-09 10:14:33      79.3366       26.0199  233.062                 32.0   \n",
       "2020-03-09 10:14:34      79.5158       26.0258  236.040                 32.0   \n",
       "2020-03-09 10:14:35      79.3756       26.0265  251.380                 32.0   \n",
       "2020-03-09 10:14:36      79.6097       26.0393  234.392                 32.0   \n",
       "2020-03-09 10:14:37      79.6109       26.0420  225.342                 32.0   \n",
       "\n",
       "                     anomaly  changepoint  \n",
       "datetime                                   \n",
       "2020-03-09 10:14:33      0.0          0.0  \n",
       "2020-03-09 10:14:34      0.0          0.0  \n",
       "2020-03-09 10:14:35      0.0          0.0  \n",
       "2020-03-09 10:14:36      0.0          0.0  \n",
       "2020-03-09 10:14:37      0.0          0.0  "
      ]
     },
     "execution_count": 3,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df = pd.read_csv(\"./data/valve1/0.csv\", sep=\";\", parse_dates=True, index_col=\"datetime\")\n",
    "df.sort_index(inplace=True)\n",
    "df.head()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "07bb1678",
   "metadata": {},
   "source": [
    "### Make predictor"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "id": "09023189",
   "metadata": {},
   "outputs": [],
   "source": [
    "from tensorflow import keras\n",
    "\n",
    "optimizer = keras.optimizers.Adam(learning_rate=0.0001)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "id": "2d0b785e-db62-41fd-8479-cc629d8428b7",
   "metadata": {},
   "outputs": [],
   "source": [
    "from utils.pipeline import Pipeline, Predictor\n",
    "\n",
    "class Config:\n",
    "    train_size = 400\n",
    "    TIME_STEPS = 50\n",
    "    epochs = 10\n",
    "    batch_size = 10 \n",
    "    Q = 0.99\n",
    "    \n",
    "conf = Config\n",
    "\n",
    "class LSTM_AE_Predictor(Predictor):\n",
    "    def make_prediction(self, df):\n",
    "        first_anomaly_idx = df.index.get_loc(df[df[\"anomaly\"] == 1].index[0])\n",
    "        df = df.drop(['anomaly','changepoint'], axis=1)\n",
    "        conf.train_size = first_anomaly_idx\n",
    "        ss = StandardScaler()\n",
    "        \n",
    "        x_train = np.array(ss.fit_transform(df[:conf.train_size]))\n",
    "        x_train = create_sequences(x_train, conf.TIME_STEPS)\n",
    "        \n",
    "        model = LSTM_AE(optimizer=optimizer, loss='mae')\n",
    "        model.fit(x_train, conf.epochs, conf.batch_size, conf.TIME_STEPS)\n",
    "\n",
    "        x_test = np.array(ss.transform(df))\n",
    "        x_test = create_sequences(x_test, conf.TIME_STEPS)\n",
    "        \n",
    "        r = pd.Series(np.sum(np.mean(np.abs(model.predict(x_test) - x_test), axis=1), axis=1))  \n",
    "        health_r = r[:conf.train_size]\n",
    "        \n",
    "        # UCL = health_r.quantile(conf.Q)\n",
    "        # Чтобы \"выбросы\" не испортили предсказания, убираем срабатывания на пересечении\n",
    "        UCL = health_r[: len(health_r) - conf.TIME_STEPS + 1].quantile(conf.Q)\n",
    "        \n",
    "        anomalous_data = r > UCL\n",
    "        anomalous_data_indices = [] \n",
    "        for data_idx in range(conf.TIME_STEPS, len(x_test) - conf.TIME_STEPS + 1):\n",
    "#             if np.all(anomalous_data[data_idx - conf.TIME_STEPS : data_idx]):\n",
    "#                 anomalous_data_indices.append(data_idx - conf.TIME_STEPS)\n",
    "\n",
    "            # Чуть более слабое условие для того чтобы по окну определить аномалию\n",
    "            # Повышая порог можно увеличить мар и уменьшить фар\n",
    "            if (anomalous_data[data_idx - conf.TIME_STEPS : data_idx]).astype(int).sum() >= conf.TIME_STEPS * 0.8:\n",
    "                anomalous_data_indices.append(data_idx - conf.TIME_STEPS)\n",
    "        prediction = pd.Series(data=0, index=df.index)\n",
    "        prediction.iloc[anomalous_data_indices] = 1\n",
    "        return prediction"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "id": "88d0dbfb-f824-4992-a4e6-214a386767a0",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Epoch 1/10\n",
      "53/53 [==============================] - 13s 149ms/step - loss: 0.7618\n",
      "Epoch 2/10\n",
      "53/53 [==============================] - 7s 132ms/step - loss: 0.6833\n",
      "Epoch 3/10\n",
      "53/53 [==============================] - 7s 129ms/step - loss: 0.6280\n",
      "Epoch 4/10\n",
      "53/53 [==============================] - 7s 125ms/step - loss: 0.6061\n",
      "Epoch 5/10\n",
      "53/53 [==============================] - 7s 131ms/step - loss: 0.5936\n",
      "Epoch 6/10\n",
      "53/53 [==============================] - 7s 127ms/step - loss: 0.5872\n",
      "Epoch 7/10\n",
      "53/53 [==============================] - 8s 147ms/step - loss: 0.5826\n",
      "Epoch 8/10\n",
      "53/53 [==============================] - 7s 137ms/step - loss: 0.5776\n",
      "Epoch 9/10\n",
      "53/53 [==============================] - 7s 135ms/step - loss: 0.5760\n",
      "Epoch 10/10\n",
      "53/53 [==============================] - 7s 131ms/step - loss: 0.5703\n"
     ]
    }
   ],
   "source": [
    "prediction = LSTM_AE_Predictor().make_prediction(df)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "id": "758aa343",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1440x720 with 2 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "y_test = df.anomaly\n",
    "fig, axs = plt.subplots(2, 1, figsize=(20,10))\n",
    "temperatures = df.Temperature\n",
    "axs[0].plot(temperatures)\n",
    "axs[1].plot(temperatures)\n",
    "\n",
    "y = pd.Series(prediction)\n",
    "anomalies_indecies = y.index[y == 1]\n",
    "axs[0].scatter(anomalies_indecies, temperatures[anomalies_indecies], color='r')\n",
    "axs[0].set_title(\"Temperature Predicted\")\n",
    "\n",
    "y = pd.Series(y_test)\n",
    "anomalies_indecies = pd.Series(y.values).index[y == 1]\n",
    "axs[1].scatter(df.index[anomalies_indecies], temperatures[anomalies_indecies], color='r')\n",
    "axs[1].set_title(\"Temperature\")\n",
    "\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "id": "7da38399",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "F1 = 0.9165714285714286\n",
      "FAR = 0.09785522788203753\n",
      "MAR = 0.0\n"
     ]
    }
   ],
   "source": [
    "print(f\"\"\"F1 = {f1_score(y_test, prediction)}\n",
    "FAR = {far(y_test, prediction)}\n",
    "MAR = {mar(y_test, prediction)}\"\"\")"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "b4c57081",
   "metadata": {},
   "source": [
    "### Применение метода ко всем датасетам"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "id": "73525d69-73b2-4d5a-9dfb-04b738b52396",
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Anomaly: valve1\n"
     ]
    },
    {
     "data": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "4a109af7ec6342daae26982e9167b4c3",
       "version_major": 2,
       "version_minor": 0
      },
      "text/plain": [
       "IntProgress(value=0, description='Computing', max=16, style=ProgressStyle(bar_color='#61dc8a'))"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Epoch 1/10\n",
      "53/53 [==============================] - 14s 148ms/step - loss: 0.8948\n",
      "Epoch 2/10\n",
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      "52/52 [==============================] - 6s 113ms/step - loss: 0.5658\n",
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      "52/52 [==============================] - 6s 124ms/step - loss: 0.5625\n",
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      "53/53 [==============================] - 11s 123ms/step - loss: 14.0347\n",
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      "53/53 [==============================] - 7s 126ms/step - loss: 0.7211\n",
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      "53/53 [==============================] - 6s 114ms/step - loss: 0.6954\n",
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      "53/53 [==============================] - 11s 111ms/step - loss: 0.7215\n",
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      "53/53 [==============================] - 8s 143ms/step - loss: 0.5633\n",
      "Epoch 1/10\n",
      "53/53 [==============================] - 14s 146ms/step - loss: 0.7875\n",
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      "53/53 [==============================] - 7s 139ms/step - loss: 0.7346\n",
      "Epoch 3/10\n",
      "53/53 [==============================] - 7s 123ms/step - loss: 0.7192\n",
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      "53/53 [==============================] - 7s 124ms/step - loss: 0.7108\n",
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      "53/53 [==============================] - 7s 131ms/step - loss: 0.7046\n",
      "Epoch 6/10\n",
      "53/53 [==============================] - 7s 123ms/step - loss: 0.7031\n",
      "Epoch 7/10\n",
      "53/53 [==============================] - 7s 141ms/step - loss: 0.6977\n",
      "Epoch 8/10\n",
      "53/53 [==============================] - 8s 145ms/step - loss: 0.6891\n",
      "Epoch 9/10\n",
      "53/53 [==============================] - 8s 149ms/step - loss: 0.6880\n",
      "Epoch 10/10\n",
      "53/53 [==============================] - 8s 148ms/step - loss: 0.6812\n",
      "Epoch 1/10\n",
      "53/53 [==============================] - 14s 174ms/step - loss: 0.7325\n",
      "Epoch 2/10\n",
      "53/53 [==============================] - 8s 159ms/step - loss: 0.6851\n",
      "Epoch 3/10\n",
      "53/53 [==============================] - 8s 143ms/step - loss: 0.6609\n",
      "Epoch 4/10\n",
      "53/53 [==============================] - 7s 134ms/step - loss: 0.6503\n",
      "Epoch 5/10\n",
      "53/53 [==============================] - 7s 126ms/step - loss: 0.6401\n",
      "Epoch 6/10\n",
      "53/53 [==============================] - 6s 120ms/step - loss: 0.6339\n",
      "Epoch 7/10\n",
      "53/53 [==============================] - 6s 115ms/step - loss: 0.6331\n",
      "Epoch 8/10\n",
      "53/53 [==============================] - 6s 113ms/step - loss: 0.6276\n",
      "Epoch 9/10\n",
      "53/53 [==============================] - 6s 113ms/step - loss: 0.6229\n",
      "Epoch 10/10\n",
      "53/53 [==============================] - 6s 114ms/step - loss: 0.6180\n",
      "Epoch 1/10\n",
      "53/53 [==============================] - 11s 129ms/step - loss: 0.7095\n",
      "Epoch 2/10\n",
      "53/53 [==============================] - 7s 128ms/step - loss: 0.6437\n",
      "Epoch 3/10\n",
      "53/53 [==============================] - 7s 139ms/step - loss: 0.6239\n",
      "Epoch 4/10\n",
      "53/53 [==============================] - 6s 122ms/step - loss: 0.6139\n",
      "Epoch 5/10\n",
      "53/53 [==============================] - 7s 131ms/step - loss: 0.6049\n",
      "Epoch 6/10\n",
      "53/53 [==============================] - 7s 124ms/step - loss: 0.5991\n",
      "Epoch 7/10\n",
      "53/53 [==============================] - 6s 116ms/step - loss: 0.5948\n",
      "Epoch 8/10\n",
      "53/53 [==============================] - 7s 126ms/step - loss: 0.5896\n",
      "Epoch 9/10\n",
      "53/53 [==============================] - 7s 124ms/step - loss: 0.5859\n",
      "Epoch 10/10\n",
      "53/53 [==============================] - 7s 127ms/step - loss: 0.5810\n",
      "F1 = 0.9164549394709312\n",
      "\n",
      "FAR = 0.0794025820605856\n",
      "\n",
      "MAR = 0.028055159296243463\n",
      "\n",
      "Anomaly: valve2\n"
     ]
    },
    {
     "data": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "847de811ac3d4a32ae43e4424d66037f",
       "version_major": 2,
       "version_minor": 0
      },
      "text/plain": [
       "IntProgress(value=0, description='Computing', max=4, style=ProgressStyle(bar_color='#61dc8a'))"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Epoch 1/10\n",
      "52/52 [==============================] - 12s 119ms/step - loss: 0.7245\n",
      "Epoch 2/10\n",
      "52/52 [==============================] - 6s 118ms/step - loss: 0.6681\n",
      "Epoch 3/10\n",
      "52/52 [==============================] - 6s 118ms/step - loss: 0.6536\n",
      "Epoch 4/10\n",
      "52/52 [==============================] - 6s 122ms/step - loss: 0.6461\n",
      "Epoch 5/10\n",
      "52/52 [==============================] - 6s 120ms/step - loss: 0.6383\n",
      "Epoch 6/10\n",
      "52/52 [==============================] - 7s 130ms/step - loss: 0.6352\n",
      "Epoch 7/10\n",
      "52/52 [==============================] - 8s 150ms/step - loss: 0.6261\n",
      "Epoch 8/10\n",
      "52/52 [==============================] - 7s 127ms/step - loss: 0.6222\n",
      "Epoch 9/10\n",
      "52/52 [==============================] - 6s 115ms/step - loss: 0.6149\n",
      "Epoch 10/10\n",
      "52/52 [==============================] - 6s 116ms/step - loss: 0.6103\n",
      "Epoch 1/10\n",
      "52/52 [==============================] - 11s 113ms/step - loss: 58967188.0000\n",
      "Epoch 2/10\n",
      "52/52 [==============================] - 6s 114ms/step - loss: 195796960.0000\n",
      "Epoch 3/10\n",
      "52/52 [==============================] - 6s 114ms/step - loss: 9931660.0000\n",
      "Epoch 4/10\n",
      "52/52 [==============================] - 6s 124ms/step - loss: 5411793.5000\n",
      "Epoch 5/10\n",
      "52/52 [==============================] - 6s 115ms/step - loss: 4394391.5000\n",
      "Epoch 6/10\n",
      "52/52 [==============================] - 6s 121ms/step - loss: 3334698.0000\n",
      "Epoch 7/10\n",
      "52/52 [==============================] - 6s 114ms/step - loss: 2785821.2500\n",
      "Epoch 8/10\n",
      "52/52 [==============================] - 6s 112ms/step - loss: 2916563.7500\n",
      "Epoch 9/10\n",
      "52/52 [==============================] - 6s 113ms/step - loss: 4570082.5000\n",
      "Epoch 10/10\n",
      "52/52 [==============================] - 6s 114ms/step - loss: 3771036.7500\n",
      "Epoch 1/10\n",
      "52/52 [==============================] - 11s 112ms/step - loss: 0.6905\n",
      "Epoch 2/10\n",
      "52/52 [==============================] - 6s 113ms/step - loss: 0.6329\n",
      "Epoch 3/10\n",
      "52/52 [==============================] - 6s 114ms/step - loss: 0.6152\n",
      "Epoch 4/10\n",
      "52/52 [==============================] - 6s 116ms/step - loss: 0.6020\n",
      "Epoch 5/10\n",
      "52/52 [==============================] - 6s 124ms/step - loss: 0.5908\n",
      "Epoch 6/10\n",
      "52/52 [==============================] - 7s 129ms/step - loss: 0.5858\n",
      "Epoch 7/10\n",
      "52/52 [==============================] - 6s 120ms/step - loss: 0.5817\n",
      "Epoch 8/10\n",
      "52/52 [==============================] - 7s 143ms/step - loss: 0.5768\n",
      "Epoch 9/10\n",
      "52/52 [==============================] - 7s 130ms/step - loss: 0.5711\n",
      "Epoch 10/10\n",
      "52/52 [==============================] - 6s 119ms/step - loss: 0.5660\n",
      "Epoch 1/10\n",
      "52/52 [==============================] - 11s 112ms/step - loss: 0.7275\n",
      "Epoch 2/10\n",
      "52/52 [==============================] - 6s 119ms/step - loss: 0.6622\n",
      "Epoch 3/10\n",
      "52/52 [==============================] - 7s 140ms/step - loss: 0.6395\n",
      "Epoch 4/10\n",
      "52/52 [==============================] - 6s 117ms/step - loss: 0.6263\n",
      "Epoch 5/10\n",
      "52/52 [==============================] - 6s 123ms/step - loss: 0.6182\n",
      "Epoch 6/10\n",
      "52/52 [==============================] - 6s 119ms/step - loss: 0.6132\n",
      "Epoch 7/10\n",
      "52/52 [==============================] - 7s 128ms/step - loss: 0.6086\n",
      "Epoch 8/10\n",
      "52/52 [==============================] - 6s 121ms/step - loss: 0.6033\n",
      "Epoch 9/10\n",
      "52/52 [==============================] - 6s 119ms/step - loss: 0.5997\n",
      "Epoch 10/10\n",
      "52/52 [==============================] - 7s 127ms/step - loss: 0.5945\n",
      "F1 = 0.8927066450567261\n",
      "\n",
      "FAR = 0.06833631484794275\n",
      "\n",
      "MAR = 0.0922874093605801\n",
      "\n",
      "Anomaly: other0\n"
     ]
    },
    {
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     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Epoch 1/10\n",
      "51/51 [==============================] - 13s 133ms/step - loss: 0.7443\n",
      "Epoch 2/10\n",
      "51/51 [==============================] - 6s 116ms/step - loss: 0.6631\n",
      "Epoch 3/10\n",
      "51/51 [==============================] - 6s 117ms/step - loss: 0.6280\n",
      "Epoch 4/10\n",
      "51/51 [==============================] - 6s 118ms/step - loss: 0.6188\n",
      "Epoch 5/10\n",
      "51/51 [==============================] - 7s 133ms/step - loss: 0.6132\n",
      "Epoch 6/10\n",
      "51/51 [==============================] - 6s 125ms/step - loss: 0.6112\n",
      "Epoch 7/10\n",
      "51/51 [==============================] - 6s 117ms/step - loss: 0.6070\n",
      "Epoch 8/10\n",
      "51/51 [==============================] - 6s 116ms/step - loss: 0.6020\n",
      "Epoch 9/10\n",
      "51/51 [==============================] - 6s 115ms/step - loss: 0.5968\n",
      "Epoch 10/10\n",
      "51/51 [==============================] - 6s 119ms/step - loss: 0.5929\n",
      "F1 = 0.28776978417266186\n",
      "\n",
      "FAR = 0.08976660682226212\n",
      "\n",
      "MAR = 0.7872340425531915\n",
      "\n",
      "Anomaly: other1\n"
     ]
    },
    {
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       "IntProgress(value=0, description='Computing', max=1, style=ProgressStyle(bar_color='#61dc8a'))"
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     "metadata": {},
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    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Epoch 1/10\n",
      "53/53 [==============================] - 10s 111ms/step - loss: 0.7396\n",
      "Epoch 2/10\n",
      "53/53 [==============================] - 6s 112ms/step - loss: 0.6941\n",
      "Epoch 3/10\n",
      "53/53 [==============================] - 6s 117ms/step - loss: 0.6758\n",
      "Epoch 4/10\n",
      "53/53 [==============================] - 6s 115ms/step - loss: 0.6695\n",
      "Epoch 5/10\n",
      "53/53 [==============================] - 6s 119ms/step - loss: 0.6543\n",
      "Epoch 6/10\n",
      "53/53 [==============================] - 6s 119ms/step - loss: 0.6440\n",
      "Epoch 7/10\n",
      "53/53 [==============================] - 7s 135ms/step - loss: 0.6388\n",
      "Epoch 8/10\n",
      "53/53 [==============================] - 7s 123ms/step - loss: 0.6344\n",
      "Epoch 9/10\n",
      "53/53 [==============================] - 6s 115ms/step - loss: 0.6282\n",
      "Epoch 10/10\n",
      "53/53 [==============================] - 6s 118ms/step - loss: 0.6224\n",
      "F1 = 0.9398556535685646\n",
      "\n",
      "FAR = 0.10121457489878542\n",
      "\n",
      "MAR = 0.0\n",
      "\n",
      "Anomaly: other2\n"
     ]
    },
    {
     "data": {
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       "IntProgress(value=0, description='Computing', max=1, style=ProgressStyle(bar_color='#61dc8a'))"
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     "metadata": {},
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    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Epoch 1/10\n",
      "53/53 [==============================] - 12s 129ms/step - loss: 0.7230\n",
      "Epoch 2/10\n",
      "53/53 [==============================] - 7s 131ms/step - loss: 0.6735\n",
      "Epoch 3/10\n",
      "53/53 [==============================] - 7s 127ms/step - loss: 0.6603\n",
      "Epoch 4/10\n",
      "53/53 [==============================] - 6s 115ms/step - loss: 0.6512\n",
      "Epoch 5/10\n",
      "53/53 [==============================] - 6s 117ms/step - loss: 0.6470\n",
      "Epoch 6/10\n",
      "53/53 [==============================] - 6s 116ms/step - loss: 0.6635\n",
      "Epoch 7/10\n",
      "53/53 [==============================] - 6s 121ms/step - loss: 0.6483\n",
      "Epoch 8/10\n",
      "53/53 [==============================] - 7s 131ms/step - loss: 0.6434\n",
      "Epoch 9/10\n",
      "53/53 [==============================] - 6s 119ms/step - loss: 0.6408\n",
      "Epoch 10/10\n",
      "53/53 [==============================] - 6s 119ms/step - loss: 0.6373\n",
      "F1 = 0.9260780287474333\n",
      "\n",
      "FAR = 0.09742895805142084\n",
      "\n",
      "MAR = 0.0\n",
      "\n",
      "Anomaly: other3\n"
     ]
    },
    {
     "data": {
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       "model_id": "34e8e71a2f4d42e4babbdf309b38f95c",
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       "version_minor": 0
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       "IntProgress(value=0, description='Computing', max=1, style=ProgressStyle(bar_color='#61dc8a'))"
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     "metadata": {},
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    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Epoch 1/10\n",
      "52/52 [==============================] - 11s 118ms/step - loss: 0.7859\n",
      "Epoch 2/10\n",
      "52/52 [==============================] - 6s 114ms/step - loss: 0.6869\n",
      "Epoch 3/10\n",
      "52/52 [==============================] - 6s 115ms/step - loss: 0.6481\n",
      "Epoch 4/10\n",
      "52/52 [==============================] - 6s 115ms/step - loss: 0.6261\n",
      "Epoch 5/10\n",
      "52/52 [==============================] - 6s 116ms/step - loss: 0.6174\n",
      "Epoch 6/10\n",
      "52/52 [==============================] - 6s 116ms/step - loss: 0.6099\n",
      "Epoch 7/10\n",
      "52/52 [==============================] - 6s 118ms/step - loss: 0.6059\n",
      "Epoch 8/10\n",
      "52/52 [==============================] - 6s 116ms/step - loss: 0.6010\n",
      "Epoch 9/10\n",
      "52/52 [==============================] - 6s 117ms/step - loss: 0.5974\n",
      "Epoch 10/10\n",
      "52/52 [==============================] - 6s 116ms/step - loss: 0.6005\n",
      "F1 = 0.8904899135446686\n",
      "\n",
      "FAR = 0.10284167794316644\n",
      "\n",
      "MAR = 0.0\n",
      "\n",
      "Anomaly: other4\n"
     ]
    },
    {
     "data": {
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       "model_id": "3e6d21e82bde404a8bf27c433308cb67",
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       "IntProgress(value=0, description='Computing', max=1, style=ProgressStyle(bar_color='#61dc8a'))"
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     "metadata": {},
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    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Epoch 1/10\n",
      "45/45 [==============================] - 10s 115ms/step - loss: 0.7041\n",
      "Epoch 2/10\n",
      "45/45 [==============================] - 5s 115ms/step - loss: 0.5807\n",
      "Epoch 3/10\n",
      "45/45 [==============================] - 5s 115ms/step - loss: 0.5574\n",
      "Epoch 4/10\n",
      "45/45 [==============================] - 5s 115ms/step - loss: 0.5402\n",
      "Epoch 5/10\n",
      "45/45 [==============================] - 6s 132ms/step - loss: 0.5254\n",
      "Epoch 6/10\n",
      "45/45 [==============================] - 6s 130ms/step - loss: 0.5145\n",
      "Epoch 7/10\n",
      "45/45 [==============================] - 6s 129ms/step - loss: 0.5061\n",
      "Epoch 8/10\n",
      "45/45 [==============================] - 6s 123ms/step - loss: 0.4964\n",
      "Epoch 9/10\n",
      "45/45 [==============================] - 5s 118ms/step - loss: 0.4967\n",
      "Epoch 10/10\n",
      "45/45 [==============================] - 5s 117ms/step - loss: 0.4930\n",
      "F1 = 0.6843267108167771\n",
      "\n",
      "FAR = 0.05015197568389058\n",
      "\n",
      "MAR = 0.41509433962264153\n",
      "\n",
      "Anomaly: other5\n"
     ]
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    {
     "data": {
      "application/vnd.jupyter.widget-view+json": {
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       "IntProgress(value=0, description='Computing', max=1, style=ProgressStyle(bar_color='#61dc8a'))"
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     "metadata": {},
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    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Epoch 1/10\n",
      "53/53 [==============================] - 11s 114ms/step - loss: 84290704.0000\n",
      "Epoch 2/10\n",
      "53/53 [==============================] - 6s 114ms/step - loss: 8457870336.0000\n",
      "Epoch 3/10\n",
      "53/53 [==============================] - 6s 116ms/step - loss: 384118048.0000\n",
      "Epoch 4/10\n",
      "53/53 [==============================] - 6s 115ms/step - loss: 249758128.0000\n",
      "Epoch 5/10\n",
      "53/53 [==============================] - 6s 118ms/step - loss: 178001552.0000\n",
      "Epoch 6/10\n",
      "53/53 [==============================] - 6s 116ms/step - loss: 135860880.0000\n",
      "Epoch 7/10\n",
      "53/53 [==============================] - 6s 117ms/step - loss: 102875888.0000\n",
      "Epoch 8/10\n",
      "53/53 [==============================] - 6s 118ms/step - loss: 114606552.0000\n",
      "Epoch 9/10\n",
      "53/53 [==============================] - 6s 116ms/step - loss: 69361472.0000\n",
      "Epoch 10/10\n",
      "53/53 [==============================] - 6s 116ms/step - loss: 63907276.0000\n",
      "F1 = 0.7607361963190185\n",
      "\n",
      "FAR = 0.001658374792703151\n",
      "\n",
      "MAR = 0.3841059602649007\n",
      "\n",
      "Anomaly: other6\n"
     ]
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    {
     "data": {
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     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Epoch 1/10\n",
      "6/6 [==============================] - 6s 115ms/step - loss: 0.7915\n",
      "Epoch 2/10\n",
      "6/6 [==============================] - 1s 111ms/step - loss: 0.7852\n",
      "Epoch 3/10\n",
      "6/6 [==============================] - 1s 113ms/step - loss: 0.7643\n",
      "Epoch 4/10\n",
      "6/6 [==============================] - 1s 111ms/step - loss: 0.7475\n",
      "Epoch 5/10\n",
      "6/6 [==============================] - 1s 110ms/step - loss: 0.7467\n",
      "Epoch 6/10\n",
      "6/6 [==============================] - 1s 113ms/step - loss: 0.7383\n",
      "Epoch 7/10\n",
      "6/6 [==============================] - 1s 112ms/step - loss: 0.7345\n",
      "Epoch 8/10\n",
      "6/6 [==============================] - 1s 111ms/step - loss: 0.7324\n",
      "Epoch 9/10\n",
      "6/6 [==============================] - 1s 113ms/step - loss: 0.7295\n",
      "Epoch 10/10\n",
      "6/6 [==============================] - 1s 112ms/step - loss: 0.7263\n",
      "F1 = 0.7909371781668383\n",
      "\n",
      "FAR = 0.5126262626262627\n",
      "\n",
      "MAR = 0.0\n",
      "\n",
      "Anomaly: other7\n"
     ]
    },
    {
     "data": {
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       "IntProgress(value=0, description='Computing', max=1, style=ProgressStyle(bar_color='#61dc8a'))"
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     },
     "metadata": {},
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    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Epoch 1/10\n",
      "52/52 [==============================] - 11s 113ms/step - loss: 1.2686\n",
      "Epoch 2/10\n",
      "52/52 [==============================] - 6s 114ms/step - loss: 0.6937\n",
      "Epoch 3/10\n",
      "52/52 [==============================] - 6s 113ms/step - loss: 0.6733\n",
      "Epoch 4/10\n",
      "52/52 [==============================] - 7s 132ms/step - loss: 0.6645\n",
      "Epoch 5/10\n",
      "52/52 [==============================] - 7s 134ms/step - loss: 0.6588\n",
      "Epoch 6/10\n",
      "52/52 [==============================] - 6s 123ms/step - loss: 0.6536\n",
      "Epoch 7/10\n",
      "52/52 [==============================] - 6s 117ms/step - loss: 0.6496\n",
      "Epoch 8/10\n",
      "52/52 [==============================] - 6s 119ms/step - loss: 0.6456\n",
      "Epoch 9/10\n",
      "52/52 [==============================] - 6s 120ms/step - loss: 0.6420\n",
      "Epoch 10/10\n",
      "52/52 [==============================] - 6s 119ms/step - loss: 0.6404\n",
      "F1 = 0.9170506912442397\n",
      "\n",
      "FAR = 0.09742895805142084\n",
      "\n",
      "MAR = 0.0\n",
      "\n",
      "Anomaly: other8\n"
     ]
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    {
     "data": {
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       "model_id": "f7ca65faf8ab4fa4a4aed0ea5d805f0c",
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       "version_minor": 0
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       "IntProgress(value=0, description='Computing', max=1, style=ProgressStyle(bar_color='#61dc8a'))"
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    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Epoch 1/10\n",
      "75/75 [==============================] - 15s 126ms/step - loss: 0.7190\n",
      "Epoch 2/10\n",
      "75/75 [==============================] - 9s 121ms/step - loss: 0.6459\n",
      "Epoch 3/10\n",
      "75/75 [==============================] - 9s 116ms/step - loss: 0.6256\n",
      "Epoch 4/10\n",
      "75/75 [==============================] - 9s 116ms/step - loss: 0.6141\n",
      "Epoch 5/10\n",
      "75/75 [==============================] - 9s 116ms/step - loss: 0.6050\n",
      "Epoch 6/10\n",
      "75/75 [==============================] - 9s 117ms/step - loss: 0.5998\n",
      "Epoch 7/10\n",
      "75/75 [==============================] - 9s 117ms/step - loss: 0.5994\n",
      "Epoch 8/10\n",
      "75/75 [==============================] - 9s 119ms/step - loss: 0.5871\n",
      "Epoch 9/10\n",
      "75/75 [==============================] - 9s 119ms/step - loss: 0.5827\n",
      "Epoch 10/10\n",
      "75/75 [==============================] - 9s 126ms/step - loss: 0.5781\n",
      "F1 = 0.7159420289855073\n",
      "\n",
      "FAR = 0.06030150753768844\n",
      "\n",
      "MAR = 0.37468354430379747\n",
      "\n",
      "Anomaly: other9\n"
     ]
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    {
     "data": {
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     "metadata": {},
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    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Epoch 1/10\n",
      "53/53 [==============================] - 11s 109ms/step - loss: 0.7019\n",
      "Epoch 2/10\n",
      "53/53 [==============================] - 6s 109ms/step - loss: 0.6601\n",
      "Epoch 3/10\n",
      "53/53 [==============================] - 6s 110ms/step - loss: 0.6343\n",
      "Epoch 4/10\n",
      "53/53 [==============================] - 6s 110ms/step - loss: 0.6415\n",
      "Epoch 5/10\n",
      "53/53 [==============================] - 6s 115ms/step - loss: 0.6227\n",
      "Epoch 6/10\n",
      "53/53 [==============================] - 6s 116ms/step - loss: 0.6158\n",
      "Epoch 7/10\n",
      "53/53 [==============================] - 6s 114ms/step - loss: 0.6104\n",
      "Epoch 8/10\n",
      "53/53 [==============================] - 6s 113ms/step - loss: 0.6072\n",
      "Epoch 9/10\n",
      "53/53 [==============================] - 6s 112ms/step - loss: 0.5996\n",
      "Epoch 10/10\n",
      "53/53 [==============================] - 6s 114ms/step - loss: 0.5903\n",
      "F1 = 0.9070796460176991\n",
      "\n",
      "FAR = 0.11275167785234899\n",
      "\n",
      "MAR = 0.0\n",
      "\n",
      "Anomaly: other10\n"
     ]
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    {
     "data": {
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    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Epoch 1/10\n",
      "53/53 [==============================] - 12s 125ms/step - loss: 0.7509\n",
      "Epoch 2/10\n",
      "53/53 [==============================] - 6s 114ms/step - loss: 0.7149\n",
      "Epoch 3/10\n",
      "53/53 [==============================] - 6s 118ms/step - loss: 0.6984\n",
      "Epoch 4/10\n",
      "53/53 [==============================] - 8s 147ms/step - loss: 0.6849\n",
      "Epoch 5/10\n",
      "53/53 [==============================] - 6s 119ms/step - loss: 0.6711\n",
      "Epoch 6/10\n",
      "53/53 [==============================] - 6s 111ms/step - loss: 0.6605\n",
      "Epoch 7/10\n",
      "53/53 [==============================] - 6s 114ms/step - loss: 0.6445\n",
      "Epoch 8/10\n",
      "53/53 [==============================] - 6s 114ms/step - loss: 0.6355\n",
      "Epoch 9/10\n",
      "53/53 [==============================] - 6s 115ms/step - loss: 0.6290\n",
      "Epoch 10/10\n",
      "53/53 [==============================] - 6s 112ms/step - loss: 0.6247\n",
      "F1 = 0.9064261555806088\n",
      "\n",
      "FAR = 0.11140939597315436\n",
      "\n",
      "MAR = 0.0\n",
      "\n",
      "Anomaly: other11\n"
     ]
    },
    {
     "data": {
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       "version_minor": 0
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       "IntProgress(value=0, description='Computing', max=1, style=ProgressStyle(bar_color='#61dc8a'))"
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     },
     "metadata": {},
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    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Epoch 1/10\n",
      "53/53 [==============================] - 11s 115ms/step - loss: 0.7373\n",
      "Epoch 2/10\n",
      "53/53 [==============================] - 7s 141ms/step - loss: 0.6886\n",
      "Epoch 3/10\n",
      "53/53 [==============================] - 6s 115ms/step - loss: 0.6626\n",
      "Epoch 4/10\n",
      "53/53 [==============================] - 6s 117ms/step - loss: 0.6551\n",
      "Epoch 5/10\n",
      "53/53 [==============================] - 6s 115ms/step - loss: 0.6406\n",
      "Epoch 6/10\n",
      "53/53 [==============================] - 6s 115ms/step - loss: 0.6312\n",
      "Epoch 7/10\n",
      "53/53 [==============================] - 7s 129ms/step - loss: 0.6310\n",
      "Epoch 8/10\n",
      "53/53 [==============================] - 7s 125ms/step - loss: 0.6196\n",
      "Epoch 9/10\n",
      "53/53 [==============================] - 7s 126ms/step - loss: 0.6109\n",
      "Epoch 10/10\n",
      "53/53 [==============================] - 6s 121ms/step - loss: 0.6063\n",
      "F1 = 0.895483870967742\n",
      "\n",
      "FAR = 0.10901749663526245\n",
      "\n",
      "MAR = 0.0\n",
      "\n",
      "Anomaly: other12\n"
     ]
    },
    {
     "data": {
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      },
      "text/plain": [
       "IntProgress(value=0, description='Computing', max=1, style=ProgressStyle(bar_color='#61dc8a'))"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Epoch 1/10\n",
      "53/53 [==============================] - 13s 144ms/step - loss: 0.7597\n",
      "Epoch 2/10\n",
      "53/53 [==============================] - 7s 132ms/step - loss: 0.7116\n",
      "Epoch 3/10\n",
      "53/53 [==============================] - 7s 123ms/step - loss: 0.6857\n",
      "Epoch 4/10\n",
      "53/53 [==============================] - 7s 129ms/step - loss: 0.6805\n",
      "Epoch 5/10\n",
      "53/53 [==============================] - 6s 120ms/step - loss: 0.6657\n",
      "Epoch 6/10\n",
      "53/53 [==============================] - 6s 119ms/step - loss: 0.6582\n",
      "Epoch 7/10\n",
      "53/53 [==============================] - 6s 111ms/step - loss: 0.6533\n",
      "Epoch 8/10\n",
      "53/53 [==============================] - 7s 137ms/step - loss: 0.6456\n",
      "Epoch 9/10\n",
      "53/53 [==============================] - 7s 127ms/step - loss: 0.6435\n",
      "Epoch 10/10\n",
      "53/53 [==============================] - 7s 130ms/step - loss: 0.6328\n",
      "F1 = 0.9005586592178771\n",
      "\n",
      "FAR = 0.1196236559139785\n",
      "\n",
      "MAR = 0.0\n",
      "\n",
      "Anomaly: other13\n"
     ]
    },
    {
     "data": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "d2f29455aebe438ba4e9e22e83d38166",
       "version_major": 2,
       "version_minor": 0
      },
      "text/plain": [
       "IntProgress(value=0, description='Computing', max=1, style=ProgressStyle(bar_color='#61dc8a'))"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Epoch 1/10\n",
      "53/53 [==============================] - 11s 109ms/step - loss: 0.9436\n",
      "Epoch 2/10\n",
      "53/53 [==============================] - 6s 109ms/step - loss: 0.6936\n",
      "Epoch 3/10\n",
      "53/53 [==============================] - 6s 109ms/step - loss: 0.6581\n",
      "Epoch 4/10\n",
      "53/53 [==============================] - 6s 111ms/step - loss: 0.6483\n",
      "Epoch 5/10\n",
      "53/53 [==============================] - 6s 122ms/step - loss: 0.6413\n",
      "Epoch 6/10\n",
      "53/53 [==============================] - 6s 111ms/step - loss: 0.6362\n",
      "Epoch 7/10\n",
      "53/53 [==============================] - 6s 111ms/step - loss: 0.6341\n",
      "Epoch 8/10\n",
      "53/53 [==============================] - 6s 111ms/step - loss: 0.6321\n",
      "Epoch 9/10\n",
      "53/53 [==============================] - 6s 112ms/step - loss: 0.6238\n",
      "Epoch 10/10\n",
      "53/53 [==============================] - 6s 114ms/step - loss: 0.6191\n",
      "F1 = 0.9113636363636364\n",
      "\n",
      "FAR = 0.10497981157469717\n",
      "\n",
      "MAR = 0.0\n",
      "\n",
      "CPU times: total: 1h 59min 3s\n",
      "Wall time: 40min 19s\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 864x216 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 864x216 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 864x216 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 864x216 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 864x216 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 864x216 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 864x216 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 864x216 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 864x216 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 864x216 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 864x216 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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6IxzOCJvlKNP0aRWdNQKgb9++/PSnP11v29KlS9d7/P73v5958+a95djJkyfzyCOPvGX71KlTmTp1KgBbbbUV11133VvazJo1a73HJ598MieffPJb2p1++umcfvrpXT2NHunO9GnDgCdqHi9Lt9U6CzhG0jLgRuCfOzqRpGmS5kuav2LFigzdNTNrICXMZ+aEsFl+siwsV+WMcCvKax7ho4CZETEc+AfgJ5Lecu6ImBER4yNi/NChQ3O6tJlZWVwjbNbMknmEs64sVy0jR45k4cKFZXejcN0JhJcD29Y8Hp5uq3UscBVARNwJ9Ae2yKODZmYNq/Aa4XjLXd1mll2mjHAbZ4QroTuB8DxgtKRRkjYmuRludrs2jwMfAJC0M0kg7NoHM6s4Z4TNmpnoxRLLOdcIe57wfPT059hlIBwRa4ETgTnAwySzQzwo6RxJbbMZfxE4TtLvgZ8BU8O/UTOruqIzwl5i2SxfUoZwNv8a4f79+7Ny5UoHw70UEaxcuZL+/ft3+5huzSOczgl8Y7ttZ9R8/xAwqdtXNTOrhKKXWA4vsWyWoyQjnHH6tBwzwsOHD2fZsmV4IoHe69+/P8OHD+92e68sZ2aWVQkZYcfBZvnp1cs3x+xtv379GDVqVG7ns+7La9YIM7MWVHRG2HGwWZ4aqUbYyuFA2Mwsq6KLdl0jbJYrSUSPA1rPI1wlDoTNzHrFNcJmzcoZYXMgbGaWlWeNMGtqvVpi2RnhSnAgbGaWWQk1wg6EzXIjMpRGOCNcKQ6EzcyyKniFiwiXRpjlyhnhludA2MwsM2eEzZqZyJDXdUa4UhwIm5llVcY8wmaWG2WLhJN//IKsBAfCZmaZlZERdkrYLC+uETYHwmZmWRU+j3C4QtgsR541whwIm5ll5hphs2YmuUa41TkQNjPLqox5hAu7mln1CRE9X1Ej+cdxcCU4EDYzy6zYjDC4RtgsT73LCFsVOBA2M8uq6IwwrhE2y1vmGmGnhCvBgbCZWWYF1wh7iWWzXEnKnhH2zXKV4EDYzCyrUuYRdiRslhdBhoDWGeEq6VYgLGmypEWSFkua3kmbj0t6SNKDkmbl200zs0bkWSPMmlmvaoSdEa6Evl01kNQHuAj4ELAMmCdpdkQ8VNNmNHAaMCkinpO0Zb06bGbWMArPCLtG2CxPIktC2BnhKulORngCsDgiHouIV4ErgcPatTkOuCgingOIiKfz7aaZWaMqetaIQi9nVmlJjXDGgNYZ4UroTiA8DHii5vGydFutHYEdJf2fpLskTc6rg2ZmDauUeYQdCZvlJVNG+M0j8+2MlaLL0ogenGc0sD8wHLhd0m4R8XxtI0nTgGkAI0aMyOnSZmZlKbpGOJwRNstRtiWWe3OgNZruZISXA9vWPB6ebqu1DJgdEa9FxJ+AP5IExuuJiBkRMT4ixg8dOjRrn83MGkMZGWEHwmY5yjB9WnqcM8LV0J1AeB4wWtIoSRsDU4DZ7dr8N0k2GElbkJRKPJZfN83MGlGxb4RJ/tmRsFleksRuhtexM8KV0WUgHBFrgROBOcDDwFUR8aCkcyQdmjabA6yU9BBwK3BKRKysV6fNzBpCwW+Emd6wzawOnBGuim7VCEfEjcCN7badUfN9AP+afpmZtYiil1jG62mY5SjzzXLOCFeGV5YzM8sqir1ZjnAcbJanZEGNTJEwzghXgwNhM7PMis8Iy3fLmeVGyBnhFudA2Mwsq4Izwl5ZzixfmZZYTo7EGeFqcCBsZpZZGRnhwi5nVnmeNcIcCJuZ9UrRK8uZWV6yT0foV2JVOBA2M8uq6AU1CNcIm+Upa2mEM8KV4UDYzCyzomuEnYcyy5MgaySc9UBrMA6EzcyyKmGJZUfCZvmRMi6x7IxwZTgQNjPLrPjI1Essm+UnWVDD8wi3MgfCZmZZFZ4RDs8aYZajzNOnZV6SzhqNA2Ezs8wKrhEu9Gpm1Zc9nnVGuCocCJuZZVXwxL4FJ6DNKi+pEfY8wq3MgbCZWWZFZ4TDNcJmOXJG2BwIm5llVcKsEc4Im+Uoa2LXGeHKcCBsZpZZsW+EXmLZLF+9W1nOgXAVOBA2M8uqjHmEXRphlpsksesa4VbmQNjMLLOi53Hw9Glmecqe13VGuCocCJuZZVVGjXBhVzOrvsyJXWeEK6NbgbCkyZIWSVosafoG2n1MUkgan18XzcwaVQnzCDsSNsuNyDh9GuCMcDV0GQhL6gNcBBwE7AIcJWmXDtoNAk4G7s67k2ZmDamMleWcEzbLTfbErjPCVdGdjPAEYHFEPBYRrwJXAod10O7fgG8Ca3Lsn5lZA3NG2KyZZV9i2TXCVdGdQHgY8ETN42XptnUkjQO2jYhf5dg3M7PG5hphsyanXmSE8+6LlaHXN8tJ2gj4NvDFbrSdJmm+pPkrVqzo7aXNzEpWcEY4AjklbJab5OWUcfo0R8KV0J1AeDmwbc3j4em2NoOAXYHbJC0F9gFmd3TDXETMiIjxETF+6NCh2XttZtYIvNSbWVPr3RLLVgXdCYTnAaMljZK0MTAFmN22MyJeiIgtImJkRIwE7gIOjYj5demxmVnDcI2wWTPrVY2wb5arhC4D4YhYC5wIzAEeBq6KiAclnSPp0Hp30MysYRWdEY7eLAlrZu0JZVtZzgtqVEbf7jSKiBuBG9ttO6OTtvv3vltmZs3AGWGzZpY9I4wzwhXhleXMzLIqODJN5hE2s7z0rkbYgXAVOBA2M8vMGWGzZiZlLI1wjXBlOBA2M8uqjHmEHQmb5SpbOOuMcFU4EDYzy6zojLBLI8zylHk6YGeEK8OBsJlZVgUv9RbFxt1mlSfkjHCLcyBsZpZZCTXCjoTNcpMkdl0j3MocCJuZZVX0G6Hfd81y54xwa3MgbGaWWcE3yxGeNcIsR5mnT3NGuDIcCJuZZVVw0W7BJclmlZcsqOGV5VqZA2Ezs8yKzgh7HmGzPCXzCGc60BnhinAgbGaWVeEZ4fDNcmY5yp7XdUa4KhwIm5ll5oywWVPzPMItz4GwmVlWrhE2a2rJPMJZa4StChwIm5llVmxGGHBK2CxHmRO7zghXhgNhM7OsCswIt0367zDYLD+uETYHwmZmmRWXEW5LPjkhbJaf7CvL4YxwRTgQNjPLKqCwjHD6r2eNMMtPUiOc7UhnhKvBgbCZWWZFZoTT0gjHwWa5cY2wdSsQljRZ0iJJiyVN72D/v0p6SNIDkn4rabv8u2pm1mCKrBFO/3UcbJaf7K8nZ4SrostAWFIf4CLgIGAX4ChJu7Rrdj8wPiJ2B64B/j3vjpqZNR7XCJs1tfQF1eM6YWeEK6M7GeEJwOKIeCwiXgWuBA6rbRARt0bEy+nDu4Dh+XbTzKwBFZoRbiuNcCRslpe2V1PPY1pnhKuiO4HwMOCJmsfL0m2dORa4qTedMjNrDsVnhM0sP20v357Hwc4IV0XfPE8m6RhgPLBfJ/unAdMARowYkeelzcyKV8IboRPCZvlpm4UlevzXHWeEq6I7GeHlwLY1j4en29Yj6YPA6cChEfFKRyeKiBkRMT4ixg8dOjRLf83MGkgJNcK+Xc4sN84IW3cC4XnAaEmjJG0MTAFm1zaQtCdwKUkQ/HT+3TQza0Cl1AgXcjmzluAaYesyEI6ItcCJwBzgYeCqiHhQ0jmSDk2bfQsYCFwtaYGk2Z2czsysWgrPCJtZXjK/fJ0Rroxu1QhHxI3Aje22nVHz/Qdz7peZWRMoYR5hR8JmuWmbhSV6nN11RrgqvLKcmVlWUcLKcs4Jm+Wux8ldZ4Qrw4GwmVlmzgibNbPsrye/EKvCgbCZWVaFZoQLuYxZS3lz+rSeHuiMcFU4EDYzy6y4jHBbStgry5nl583p01wj3KocCJuZZVVgRriNw2Cz/GSePs0fSCvDgbCZWWaeR9ismWVeUANcGlERDoTNzHrD8wibNa31l1juyYEujagKB8JmZlmse+MsetYIh8JmecmeEfbNclXhQNjMLIt1KdqC5xF2HGyWu2w1wg6Eq8CBsJlZJiVlhAu5mllrUOaUsDPCVeFA2Mwsi8IzwhR6PbNWsG7WiJ5Gws4IV4YDYTOzTIrOCLctsWxmeVmXEM4S0zojXAkOhM3Msih6GodiE9BmLeHNjHCWIx0IV4EDYTOzTMqqEXYkbJaXthrhTNOnOSNcCQ6EzcyyKPhN0O+5ZvXjjHDrciBsZpZJwTfLeWU5s9xlrhF2RrgyHAibmWVR9IIaXlnOLHeZZ41wRrgyuhUIS5osaZGkxZKmd7B/E0k/T/ffLWlk7j01M2soRWeEC72cWWvIOo+wM8KV0WUgLKkPcBFwELALcJSkXdo1OxZ4LiJ2AP4T+GbeHTUzayiFZ4Tbpk9zJGyWF88aYd3JCE8AFkfEYxHxKnAlcFi7NocBP0q/vwb4gOS8hZlVWVkLahRyObOW0Lsa4dy7YyXo2402w4Anah4vA97dWZuIWCvpBWAI8EwenczLk396hD/P/V7Z3TCzCugbr7E38NtFK7jnxYfrfr1Va9YCjoPN8tT2F5YLb32UAZt0JyRKfOzp1QxbtYwHLj2hXl2rqI2Y+NnGisO6/1vPgaRpwDSAESNGFHlpAF58+nH2fPLnhV/XzKrpJfpz5Z825fbHlhZyvUH9+/LOoQMKuZZZK9h+6AAG9e/L1fOX9ei4AdqSaRutdkzRQ2+wEdBYgbC6mkRa0kTgrIg4MH18GkBEfKOmzZy0zZ2S+gJ/BYbGBk4+fvz4mD9/fg5PwczMzMysc5LujYjx7bd3p0Z4HjBa0ihJGwNTgNnt2swG/l/6/RHALRsKgs3MzMzMytZlaURa83siMAfoA/wwIh6UdA4wPyJmAz8AfiJpMfAsSbBsZmZmZtawulUjHBE3Aje223ZGzfdrgCPz7ZqZmZmZWf14ZTkzMzMza0kOhM3MzMysJXU5a0TdLiytAP5cysV7bgsabE5kqxSPL6snjy+rN48xq6e8xtd2ETG0/cbSAuFmIml+R1NumOXB48vqyePL6s1jzOqp3uPLpRFmZmZm1pIcCJuZmZlZS3Ig3D0zyu6AVZrHl9WTx5fVm8eY1VNdx5drhM3MzMysJTkjbGZmZmYtyYEwIGl42X2wapPUr+w+WHVJ2ib9V2X3xapH0tvK7oNVV9kxWEsHwpIGSvo2MFfSiLL7Y9UjaZCk7wHnSdqn7P5YtUgakP4fNkfSkHCtm+UofY+8EPgvSZMlbV52n6w6GiUGa9lAWNLfA/OBvsD4iHi85C5ZxaRZ4MtIXmePAl+RNK3cXllVSDoEeBB4GZgUEStL7pJVzwXAxsC1wFHA9FJ7Y5XRSDFY37IuXJY0a7ISeBV4HpgeES9LehewIiKeLrWDViVbAaMiYgqApCeBAyUdGhGzy+2aVcBrQJ+I+AqApB2ApyJiVbndsmaXltgMBrYBPh4RqyUtBv5F0nERcVmpHbQq+BsNEoO1zKwRkt4JnA08Dnw1It6QdAEwCBgKbAa8BNwE/MhvJtZTksYAxwN3AtdGxKuSrgd+HhE/lfQOYAqwE/AVjzHriU7G1y+AF4F+wJbAG8B3gVsiYk1pnbWmI2kUsGtEXF+z7SZgTkRcIGkTYDLwaeCfIuLZkrpqTaiT8XUBDRCDtURphKSvAzcDd0fE6RHxRrrrfOCdJG8a+5PMVTca+IdSOmpNS9JewJXACuBwkpq6EcBVwL6SBqVvHL8HAti6tM5a0+lgfF2eBib/ArwPuDciDgB+BRwI7FlWX635SPoC8DDwz5L2q9l1ATBZ0uCIeAV4APgTMK7wTlrT2sD4aogYrCUCYWAI8GBEXAggaXNJfSNiGXB0RFwAEBHXAe8gqbkz64nRwKKIOBeYmm47EPgrScaubdsdwHtpndee5aP9+Hod+BywHNg7Iv4zbXchMLaUHloze5wk03s1cIikjdPtC4DFwJcBIuJPwEiSzJ1Zd7UfX/0A0hhsStkxWKu8GZ8NDJX0ZUmzge8AMyRtFBFPtjWSNBYYATxTUj+tydRMV/U48JykbSPib8DPSLImrwO/Bv5R0v7A7sBztM5rz3phA+PrCmA3YJ92f6LegzfvfzDrrusjYhawCHgb8NF0+9Mk75cfk3R4OvPNUMDT9FlPdDi+JCkinmprVFYMVrk3447m0UyD3WuBLwI/AU4l+WGfnB6ztaTrgEuBSyLizuJ6bM2kJlMCQM10VW+kXzul228iCYLfFRG/Bi4GPkXyifjyiHi4sE5b0+jB+JpDcrPJ+PS4EZKuBS4BfujxZR1pP77aRMRr6bf3kZQ/7Jd+6IqIeJTkvXMfkllwLomIOwrpsDWVHoyv/dvGl6Q+koamScpSYrDKBMKSzpK0a9sPtmb75DQ4/h4wJiKuTu9K/DpwHEBE/BX4ZUTsExFXlvIErOFJOgu4TNJRkoak2zaS9MGIuIvkU+w+knZMD/kVyZ+DiIiZwPERsWNEXFF8763RZRxfn0q/fxm42f+HWWc6Gl/p9gPbEkgRsRqYR1L68N50/xYRcX1EfDkidouIn5bQfWtwWccX8I6IWEFyA3Ap/381fSCcZkJuIPnEegVARLye7tuTZPqXTYC17f6EOBK4UVLf9JiZBXbbmoiksZLuAYYDvwQ+SfKnwo1I6jFHpU1/AWxOMsWQgL8Dfp22I73ZxGw9vRhf2wC/TUu8nomIGSV03xrchsZX+h45DNikJli5D7gF+IKkl4GPlNNzawY5jK/D0+0zy+g/VGD6NCUr3RwYEVdJegg4PyJ+mO7bqGaGiLZlIncFziO5c/+UiLi/jH5b80in3vuHmpst/xkYGxGfSW+6XFvTdluSG0t2IpkZYmpE3FtGv605eHxZPfVwfPUFtgDuBp4ATo+I/ymj39YcqjC+mi4QVjIX637A7JrM76CIWCXpIJL6y63T7esCYUn9IuI1SUcBmzgDbJ1pP8bST7KbAi+npTf7kPwF4qh2L/JNIuKVNJO3XXqHtdl6PL6snnIYX5um+35QyhOwhlbF8dVUpRGSjgD+DJwCfCzdpjQIVnqD0h+UTNJMTRA8Bvg3JavK/cxBsHWmozEGEBEv1dy49AFgabsX+RjgTElbR8QbDlKsIx5fVk85jK+/i4iXGylIscZR1fHVVBlhJWtTv5M3C63PiYin0k8kG6WfTrYnKcYeDuwIPEsyXVW/8Eo41oVujrFLST4N/0rSeJIJ5teSLHfrMWad8viyevL4snqq6vhq2IxwW2F1O/+bfpJ4GHgFOBKSKYbayiQiYglwK7CaZHL5jSNiVaP+Aqw8PR1jJNNXQXLz5XBJs4DTgf4R8YLHmNXy+LJ68viyemql8dWQgXBaYP2WVHVNqn0hSdZ3bHpXYts0Q30kHUcyt+ZJEbFvRCwurOPWNLKMsbT+aTuSKaumkfyncHhELC+q39YcPL6snjy+rJ5abXw1XCAs6STgV5JOqAly1/tkkmZ/5wN/AfZPN2+dbn8A2CXSOxjN2ss6xiRtExFt9VH7RcQlhXbcmoLHl9WTx5fVUyuOr4YKhCV9BjiYZEnkV4HTJO2eftLoU9s2ktVubiBZt3oVcGK6/e6I8Dro1qFejrHPp9v/I5KJwc3W4/Fl9eTxZfXUquOr9Jvl0hT82vQTxzXAjIiYo2RlkstJpuSY0v4YoA/wO5JpO86IiF8U3XdrDh5jVk8eX1ZPHl9WTx5fJWaEJfWVdD7wH5IOTOtR7gS+lDZ5AVgKjJb0kfSYtpVJ1kayStcPI+JdzfwLsPrxGLN68viyevL4snry+HpTKRnh9Id5EbAZcBPwTyTLh/4I+C3wCLA3yaeR1cDmEfHvNcevt2KcWXseY1ZPHl9WTx5fVk8eX+vrW9J1BwF7kCyNvErSSuAQktVK3gPsBvSNiPsknQWshHWLZ0SVfgFWNx5jVk8eX1ZPHl9WTx5fNUopjYiIF0lS7lPTTb8jmYrjEJLZHx5IfwEDSX4hf06Pa57VP6xUHmNWTx5fVk8eX1ZPHl/rK3PWiF8CeyhZcm81ybRna4CtlJgK/B/wWETMLrGf1rw8xqyePL6snjy+rJ48vlJlBsK/A54h/UQSEfcBE4CB6aeOBcABEXFKWR20pucxZvXk8WX15PFl9eTxlSqrRpiI+Iuk64DzJC0mScuvIVmTmohYUFbfrBo8xqyePL6snjy+rJ48vt7UCPMIH0SyXvV7gAvDK8JZzjzGrJ48vqyePL6snjy+GiAQBpDUj6QOe22Xjc0y8BizevL4snry+LJ6avXx1RCBsJmZmZlZ0cq8Wc7MzMzMrDQOhM3MzMysJTkQNjMzM7OW5EDYzMzMzFqSA2EzMzMza0kOhM3MCiDpLElf2sD+j0japRvnWa+dpHMkfTCvfpqZtRIHwmZmjeEjQJeBcPt2EXFGRPymTn0yM6s0B8JmZnUi6XRJf5T0O2CndNtxkuZJ+r2kX0jaVNJ7gEOBb0laIGn79OtmSfdK+l9JYzppN1PSEem5l0r6RrpvvqRxkuZIWiLpczX9OiXtwwOSzi7hR2Nm1hD6lt0BM7MqkrQXMAXYg+T/2vuAe4FrI+KytM25wLER8T1Js4EbIuKadN9vgc9FxKOS3g1cHBHv76Bd+0s/HhF7SPpPYCYwCegPLAS+L+kAYDQwARAwW9L7IuL2ev0szMwalQNhM7P6eC/wy4h4GSANYAF2TQPgwcBAYE77AyUNBN4DXF0T6G7Szeu2XecPwMCIWAWskvSKpMHAAenX/Wm7gSSBsQNhM2s5DoTNzIo1E/hIRPxe0lRg/w7abAQ8HxF7ZDj/K+m/b9R83/a4L0kW+BsRcWmGc5uZVYprhM3M6uN24COS3iZpEHBIun0Q8BdJ/YCja9qvSvcRES8Cf5J0JIASY9u3y2gO8Ok064ykYZK27MX5zMyalgNhM7M6iIj7gJ8DvwduAualu74K3A38H/BIzSFXAqdIul/S9iRB8rGSfg88CBzWSbue9msuMAu4U9IfgGvoXWBtZta0FBFl98HMzMzMrHDOCJuZmZlZS3IgbGZmZmYtyYGwmZmZmbUkB8JmZmZm1pIcCJuZmZlZS3IgbGZmZmYtyYGwmZmZmbUkB8JmZmZm1pL+PyNvQxK2HkLIAAAAAElFTkSuQmCC\n",
      "text/plain": [
       "<Figure size 864x216 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 864x216 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 864x216 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 864x216 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 864x216 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 864x216 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 864x216 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 864x216 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 864x216 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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iONbdWcBxEbECuBL4P729UEScEBGLImLRypUrNyNcSZJqpqu4q25HuHFnuRIDcEZYJRmoH0+PAeZl5njgLcDXI57/o29mXpKZ0zNz+tixYwfo0gNr4sSJLFmypOwwJEmDRS1mhCl5Rth9hFWO/mTlQ8DO3R6PL4519x7gOwCZeRMwAthhIAKUJKnWumaEyw1jYzrK7gg7I6yS9KcQXghMjohJEbEVjQ/Dze+x5gHgDQARsTuNQnizZh/S+aAt5nsoSVVSg45wVqQj7L9farE+szIz1wEnAdcAd9PYHeLOiDgnIjrv5vAh4PiI+BXwLWBObkY1NmLECFatWmUhtwUyk1WrVjFixIiyQ5EkQT32Ec4sNzpnhFWSfu0jXOwJfGWPY2d0+/4uYNaWBjN+/HhWrFiBH6TbMiNGjGD8+PFlhyFJgtrMCJf7YTlnhFWOSt1Zbvjw4UyaNKnsMCRJGjg12Ee4sWtEqZVwZyAlxqB2VN0fTyVJGhRq0BFOGFKFjrCFsFqsulkpSdJgUJsZ4TI/LFd8dUZYLWYhLElSM9VhRjidEVZ7qm5WSpI0GNRgRrij7Fssu4+wSmIhLElSU1W/IwzpjLDaUpWzUpKk+usq7qreES4xAPcRVkkshCVJaqZazAhnNe4s54ywWqy6WSlJ0mDQNSNcbhgb05Flh2dHWOWwEJYkqalq0BGm5A/LOSOsklQ3KyVJGgxqsI9w485yJQbgjLBKYiEsSVIz1WJGGGeE1Zaqm5WSJA0GtdhHOCsyI2whrNayEJYkqansCPfJGWGVpLpZKUnSYFCDGeGOLHnbiM5rOyOsFrMQliSpmeowIwzVuLOcM8JqsepmpSRJg0ENZoQzk6hCS9iOsFqsX4VwRMyOiHsjYmlEzN3Amr+KiLsi4s6IuHRgw5Qkqeaq3BFOGFJmeM4IqyTD+loQEUOBC4E3ASuAhRExPzPv6rZmMnAaMCszH4uIHZsVsCRJtVKTGeFSO8LuI6yS9OfnvxnA0sy8PzOfAS4Djuix5njgwsx8DCAzHxnYMCVJqqmuGeHqFsKNO8uVGIAzwipJfwrhccCD3R6vKI519wrgFRHx3xFxc0TMHqgAJUmqtRrMCHdkybdYdkZYJelzNGITXmcycBAwHrghIvbKzMe7L4qIE4ATACZMmDBAl5Ykqcqqv2sEmdXYNcIZYbVYf7LyIWDnbo/HF8e6WwHMz8xnM/M3wK9pFMbrycxLMnN6Zk4fO3bs5sYsSVJ91GJGuOTonBFWSfpTCC8EJkfEpIjYCjgamN9jzQ9odIOJiB1ojErcP3BhSpJUU7XYRzircWc5qcX6/JOXmeuAk4BrgLuB72TmnRFxTkQcXiy7BlgVEXcB1wGnZuaqZgUtSVJt1GFGuKPs8OwIqxz9mhHOzCuBK3scO6Pb9wn8Q/FLkiR1qUNHuOQPy3WNRjgjrNaqblZKkjQY1GBGuHFnuRI5I6ySWAhLktRMdZgRTioyI2xHWK1V3ayUJGkwqMOMcKYzwmpLFsKSJLVClTvCVKQj7IywWqy6WSlJ0mBQgxnhjix5I2FnhFUSC2FJkpqpa0a4uoUwzgirTVkIS5LUTHWZES41AjvCKoeFsCRJTVWDXSOAIaWORjgjrHJUNyslSRoMajIjXI0batgRVmtZCEuS1Ew12Ue41MmNCr83Gtz8kydJUjPVYEa4sWlEqZVwEYgdYbWWhbAkSU1Vh45wljwj3FkIOyOs1qpuVkqSNBjUYka47NEIO8Iqh4WwJEnNVIcZYdJ9hNWWqpuVkiQNBjW4oUbpHWFnhFUSC2FJkpqqBh3hpOTt09xHWOWoblZKkjQY1GBGOMu+s5wzwiqJhbAkSc1Ug9GIxp3lKtARdkZYLdavQjgiZkfEvRGxNCLmbmTdOyIiI2L6wIUoSVKN1WAf4cad5cqMwI6wytFnIRwRQ4ELgUOAPYBjImKPXtaNBk4BbhnoICVJqq+s9HwwNJrWlegIOyOsFutPZs4Almbm/Zn5DHAZcEQv6/4F+CSwdgDjkySp3rKDKs8HQ6MjXCpvqKGS9KcQHgc82O3xiuJYl4iYBuycmT8ZwNgkSaq/rH5HmKp0hJ0RVottcWZGxBDgPOBD/Vh7QkQsiohFK1eu3NJLS5JUfdlR6flgcEZY7as/hfBDwM7dHo8vjnUaDewJXB8Ry4EDgPm9fWAuMy/JzOmZOX3s2LGbH7UkSbVR/Y5wY9eIEgNwNEIl6U9mLgQmR8SkiNgKOBqY33kyM5/IzB0yc2JmTgRuBg7PzEVNiViSpDqpyYxwuTfUsCOscvRZCGfmOuAk4BrgbuA7mXlnRJwTEYc3O0BJkmqtBjPCWfotlineIzvCaq1h/VmUmVcCV/Y4dsYG1h605WFJkjRIVKLK3LhMiNK71mFHWC1X7R9RJUmqvRp0hMlyZ4Sh8R45I6wWq3ZmSpJUd7WYEa5A0zrsCKv1LIQlSWqmWoxGZLn7CIMzwiqFhbAkSc1Ui32Eq9CztiOs1rMQliSpqao9I5zFXG6p26eBM8IqRXUzU5KkwaDiM8KdtWfZdXBjRthCWK1lISxJUjNVfB/hztLTGWG1o+pmpiRJg0HFZ4Q7OkcjSo7DGWGVwUJYkqSmqnhHuGjCDil7I2FHI1SC6mamJEmDQcVnhDuqUny6j7BKYCEsSVIzJZXuCHdyRljtqPqZKUlSndVlRrj0EO0Iq/UshCVJaqpq31mua0a47BDdR1glsBCWJKmZajIjHGXH6IywSmAhLElSM9VkH+HSm9bOCKsE1c1MSZIGg4rPCHc2YUu/xbIzwiqBhbAkSU1V9Y5wowtbjRnhkmNQ26luZkqSNBhUfka48bX0CJ0RVgn6VQhHxOyIuDcilkbE3F7O/0NE3BURd0TEzyLiZQMfqiRJNVT1GeHiw3KVuLOcLWG1WJ+ZGRFDgQuBQ4A9gGMiYo8ey24Hpmfm3sB3gf830IFKklRLFZ8RrkxH2BlhlaA/P6LOAJZm5v2Z+QxwGXBE9wWZeV1mPlU8vBkYP7BhSpJUVxXvCNN5Q42yO8LuI6zW609mjgMe7PZ4RXFsQ94DXLUlQUmSNGhkUoV+64Z01p5l18HOCKsMwwbyxSLiOGA68LoNnD8BOAFgwoQJA3lpSZKqqfIzwo2vQ8quhN1HWCXoT2Y+BOzc7fH44th6IuKNwOnA4Zn5dG8vlJmXZOb0zJw+duzYzYlXkqR6yY4qN4S73VmubHaE1Xr9KYQXApMjYlJEbAUcDczvviAi9gW+QKMIfmTgw5Qkqa4q3hEuvlaiI+yMsFqsz8zMzHXAScA1wN3AdzLzzog4JyIOL5Z9ChgFXB4RiyNi/gZeTpKk9lL1fYSrsm2EM8IqQb9mhDPzSuDKHsfO6Pb9Gwc4LkmSBoeKzwh3qkRH2BlhtVj1M1OSpDqr/D7CVZoRthBWa1kIS5LUVNXuCHftGlF2iM4IqwRl/7GXJGlwq/qMcFdHuOzRCJwRVstZCEuS1EwVnxHu7MGWPr3hjLBKUN3MlCRpMKj4jHBmRW6x7D7CKoGFsCRJzVbljnDXneXKjcMZYZWhupkpSdJgUPkZ4cbX8meE7Qir9SyEJUlqpsxqj0YUc7mV6Ag7I6wWsxCWJKmZKj4j3FE0YcsP0Y6wWs9CWJKkpqr6rhEV+bCcM8IqQXUzU5KkwaDiM8LZNSNcMmeEVQILYUmSmqnq+wh37RpRgY6w1GL+qZMkqZmqPiPctY9wyYE4I6wSWAhLktRUFe8IF1/L7wiHM8JquepmpiRJg0HFZ4Q7qjIk7IywSmAhLElSMzkj3D/uI6wSVDczJUkaDKp+Q43OGeGS43BGWGXoVyEcEbMj4t6IWBoRc3s5v3VEfLs4f0tETBzwSCVJqqWKd4SLr5XoCDsjrBbrMzMjYihwIXAIsAdwTETs0WPZe4DHMnNX4N+BTw50oJIk1VLFu5wdHRXZNcIZYZWgPz+izgCWZub9mfkMcBlwRI81RwD/UXz/XeANUfotaiRJqoCqzwgXX0v/V9sZYZVgWD/WjAMe7PZ4BfCqDa3JzHUR8QQwBnh0IIIcKA//5h5+u+BzZYchSWoj+zz2EMufewk/uOruskPp1cOPrwUgSp8SDnhiBfznGSXHoeYJeNPZZQexnv4UwgMmIk4ATgCYMGFCKy8NwJOPPMC+D3+75deVJLW3q1aOZd4jy8sOY4PGjNyK8S/cptwgXrI3/Oa/4JYvlBuHmieGVK4QjuxjMD0iZgJnZebBxePTADLzE93WXFOsuSkihgG/B8bmRl58+vTpuWjRogH4LUiSJEkbFhG3Zub0nsf7M7S0EJgcEZMiYivgaGB+jzXzgb8tvj8SuHZjRbAkSZJUtj5HI4qZ35OAa4ChwFcy886IOAdYlJnzgS8DX4+IpcAfaRTLkiRJUmX1a0Y4M68Eruxx7Ixu368FjhrY0CRJkqTmqe5+LpIkSVITWQhLkiSpLfW5a0TTLhyxEvhtKRevjx2o2F7Mkp7HPJWqzzzVyzJzbM+DpRXC6ltELOptqw9J1WGeStVnnmpDHI2QJElSW7IQliRJUluyEK62S8oOQFKfzFOp+sxT9coZYUmSJLUlO8KSJElqSxbCJYqIlxZfo+xYJPUuIrYpOwZJGxcR48uOQfVkIVyCiBgZEecB10TEmHQ+RaqciBgVERcAX4qI2RHxgrJjkrS+Ik/PAxZExISy41H9WAi3WEQcDtwJPAXMysxVJYckqXfnA1sBVwDHAHNLjUbSeiLiL4BFwDBgemY+UHJIqiEL4RaJiBHFt88AQzPznzPzyYjYNSJGlxmbpIaIeFHxdQfgpcA/ZOb3gPOAl0TE8WXGJwkiYkzx7TPA48DczHwqIl4ZETuWF5nqyF0jmqiY/d0GuAz4GXBhZq6LiO8DfwS2BnYEOoDPAtdm5tqy4pXaVUS8HDgbeAD4aGZ2RMRVwDWZeX5EbA3MBt4N/F1m/rHEcKW2tIE8PR8YDYwFtgP+BFwF/Edmri4rVtWHHeHW2BWYBLy2eHwqcBBwa2a+GfgJcDCwbynRSW0sIv4VuBq4JTNPz8yO4tRngNkRsX1mPg3cAfwGmFZSqFLb2kiefhp4OY1G0kE09gueDLyllEBVOxbCTVR8CO7lwO+Bx4ADImJsZi4FXpuZ/14svQCYWlKYUrsbA9yZmRcAdPtQ3C9oFL5zATLzN8BEGh0nSa31vDyNiGGZuQI4NjPPB8jMHwIvovE5HKlPw8oOoA38mUbHdwmN/1rdMyIWZ+ZD3dbsw//OOklqrbOB70TER4BZwGMR8QzwXhqzwT+JiF8CD9P471e3O5Rar2ee/hHoiIi/z8yHOxdFxFRgAvBoOWGqbuwID4CI2CEiNvRDxThg38y8BlhL479tPlFs+bJzRFwBXAx8JTPvblHIUtvZUJ4W/4heAXwI+DqN0aVJwP/NzPuADwMzgC8CF2fmja2LWmovm5CnH6ZR8J5SPO/FEfFD4As08vSm1kWtOvPDclsoIv4J+HvgqMy8tdvx2cA1NEYeDqYxxP83wO+AizJzXvHJ13dkpvdAl5qoH3k6DBjd+SG4iHg9jTydUka8UjvazDy9IDP3KB7Pycx5LQ9ctWZHeDMV27TcBrwSeE2PpN0PGFfMCI8GTgR2BqYDFwHTIuLlmbnKIlhqnv7kKY3dW9b12AliIvCjiPDvSKnJtjBPr+zsIFsEa3PYEd5MEbEz8H3gXZn564jYhUaS/raXtZOKD9pQ3PlmSGYub2nAUhvaxDzdBtgTOBdI4NTMvL2lAUttyDxVmSyE+6nYaP91wPzMfK44diqwH7AO2IXGzhD/BXyr8w43ETEiM9cWnaXofK6kgbcFeTo8M5+NiGOAre0sSc1jnqpK/G+/foiII4Hf0vgQzTu6nTofGAUsz8yZwCeB7YG3Fs+bApwRETtmZodFsNQ8W5in50TEmMz8lv+4Ss1jnqpq7Aj3Q3E/85fT2D/0NcA5mfmH4tzYzFzZbe2/AUsz8+KIeDHwdGY+VkbcUjsxT6XqM09VNXaE++fnmfll4G7gaeCozhM9kvYlwN7AyuLc701aqWXMU6n6zFNVioVwP2TmuuLbJcBCYGpE7AsQEUMjYmREfBm4EvhRZn63pFCltmWeStVnnqpqLIQLEfHhiDiu+L7XO0cVM76LaOwFfFBxeKfM/BNwHY1tXz7bgnCltmSeStVnnqpO2n5GOCJGA2cCf0vj3uR7Z+YTfTxnBo2tW/YHPpeZ/9T0QKU2Zp5K1Weeqo7atiPc7RaOTwHXZeZY4Abgoxt7TkRsDVwI7ATMMWml5jFPpeozT1VnbdcRLhL2XGA48JPMXBARQzPzuYh4GXA9cFhm3hkRkb28QRFxYmZe3NrIpfZhnkrVZ55qMGirQriYVboQ2A64CpgD/AD4UmY+Xaw5F9gtM9/Wy/OHZGZHywKW2pB5KlWfearBot0K4e2Aq4GDM3N1RBwMvAVYmJnfKNZsRWOA/73Ak8COmXldWTFL7cY8larPPNVg0VYzwpn5JLCcxk+uAP8N3A68utism8x8Bvhace57tNl7JJXNPJWqzzzVYNGOfyi/D+wTES/JzDXAHcBa4CUAEXEQcDzwicyckpk/KytQqY2Zp1L1maeqvXYshH8BPErxU2xm3gbMALYtzj9IY//C00uJThKYp1IdmKeqvWF9LxlcMvN3EfFD4NyIWErjzjZrgeeK88vKjE+SeSrVgXmqwaCtPizXXUQcQuMe568GLsjMC0oOSVIP5qlUfeap6qxtC2GAiBgOZLd7n0uqGPNUqj7zVHXV1oWwJEmS2lc7flhOkiRJshCWJElSe7IQliRJUluyEJYkSVJbshCWJElSW7IQlqQWiIizIuIfN3L+rRGxRz9eZ711EXFORLxxoOKUpHZiISxJ1fBWoM9CuOe6zDwjM3/apJgkaVCzEJakJomI0yPi1xHxC2C34tjxEbEwIn4VEd+LiG0j4tXA4cCnImJxROxS/Lo6Im6NiJ9HxJQNrJsXEUcWr708Ij5RnFsUEdMi4pqIWBYR7+sW16lFDHdExNklvDWSVAnDyg5AkgajiNgPOBrYh8bftbcBtwJXZOYXizUfA96TmZ+LiPnAjzPzu8W5nwHvy8z7IuJVwEWZ+fpe1vW89AOZuU9E/DswD5gFjACWAJ+PiDcDk4EZQADzI+K1mXlDs94LSaoqC2FJao7XAN/PzKcAigIWYM+iAN4eGAVc0/OJETEKeDVwebdCd+t+XrfzOv8DjMrM1cDqiHg6IrYH3lz8ur1YN4pGYWwhLKntWAhLUmvNA96amb+KiDnAQb2sGQI8npn7bMbrP1187ej2fefjYTS6wJ/IzC9sxmtL0qDijLAkNccNwFsjYpuIGA38ZXF8NPC7iBgOHNtt/eriHJn5JPCbiDgKIBqm9ly3ma4B3l10nYmIcRGx4xa8niTVloWwJDVBZt4GfBv4FXAVsLA49VHgFuC/gXu6PeUy4NSIuD0idqFRJL8nIn4F3AkcsYF1mxrXAuBS4KaI+B/gu2xZYS1JtRWZWXYMkiRJUsvZEZYkSVJbshCWJElSW7IQliRJUluyEJYkSVJbshCWJElSW7IQliRJUluyEJYkSVJbshCWJElSW/r/Bj3A6OxpcDYAAAAASUVORK5CYII=\n",
      "text/plain": [
       "<Figure size 864x216 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 864x216 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 864x216 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 864x216 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 864x216 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 864x216 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 864x216 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 864x216 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 864x216 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 864x216 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 864x216 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 864x216 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 864x216 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 864x216 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "%%time\n",
    "from utils.data import load_df\n",
    "\n",
    "anomaly_types = (\"valve1\", \"valve2\", \"other\", )\n",
    "anomaly_groups = dict()\n",
    "\n",
    "for anomaly_type in anomaly_types:\n",
    "    list_of_df, _ = load_df(\"./data/\", anomaly_type)\n",
    "    if anomaly_type == \"other\":\n",
    "        for i, df in enumerate(list_of_df):\n",
    "            anomaly_groups[f\"{anomaly_type}{i}\"] = [df, ]\n",
    "    else:\n",
    "        anomaly_groups[f\"{anomaly_type}\"] = list_of_df\n",
    "\n",
    "predictor = LSTM_AE_Predictor()\n",
    "p = Pipeline()\n",
    "\n",
    "metrics = dict()\n",
    "\n",
    "for anomaly_type, list_of_df in anomaly_groups.items():\n",
    "    metric = p.run(list_of_df, predictor, anomaly_description=anomaly_type)\n",
    "    metrics[anomaly_type] = metric"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "id": "13ea961d",
   "metadata": {},
   "outputs": [],
   "source": [
    "from utils.metrics import f1_score, far, mar\n",
    "\n",
    "pred_outlier = pd.concat([pd.concat(p.all_predictions[i]) \n",
    "                          for i in range(len(p.all_predictions))])\n",
    "\n",
    "list_of_all_df = []\n",
    "for anomaly_type in anomaly_types:\n",
    "    list_of_df, _ = load_df(\"./data/\", anomaly_type)\n",
    "    if anomaly_type == \"other\":\n",
    "        for i, df in enumerate(list_of_df):\n",
    "            list_of_all_df.append(pd.concat([df.anomaly for df in [df, ]]))\n",
    "    else:\n",
    "        list_of_all_df.append(pd.concat([df.anomaly for df in list_of_df]))\n",
    "\n",
    "true_outlier = pd.concat(list_of_all_df)\n",
    "\n",
    "f1 = f1_score(true_outlier, pred_outlier)\n",
    "far_score = far(true_outlier, pred_outlier)\n",
    "mar_score = mar(true_outlier, pred_outlier)\n",
    "\n",
    "metrics[\"all\"] = (f1, far_score, mar_score)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "id": "a98a1539-a490-4da4-a615-3fab3b1ef90d",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/markdown": [
       "metric | valve1 | valve2 | other0 | other1 | other2 | other3 | other4 | other5 | other6 | other7 | other8 | other9 | other10 | other11 | other12 | other13 | all\n",
       "--- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | ---\n",
       "F1 |0.92 | 0.89 | 0.29 | 0.94 | 0.93 | 0.89 | 0.68 | 0.76 | 0.79 | 0.92 | 0.72 | 0.91 | 0.91 | 0.9 | 0.9 | 0.91 | 0.89\n",
       "FAR |0.08 | 0.07 | 0.09 | 0.1 | 0.1 | 0.1 | 0.05 | 0.0 | 0.51 | 0.1 | 0.06 | 0.11 | 0.11 | 0.11 | 0.12 | 0.1 | 0.09\n",
       "MAR |0.03 | 0.09 | 0.79 | 0.0 | 0.0 | 0.0 | 0.42 | 0.38 | 0.0 | 0.0 | 0.37 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.06"
      ],
      "text/plain": [
       "<IPython.core.display.Markdown object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "from utils.data import show_score_table\n",
    "\n",
    "show_score_table(metrics)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "3b90a7cf",
   "metadata": {},
   "source": [
    "## Первый подход"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 104,
   "id": "757c36f5",
   "metadata": {},
   "outputs": [],
   "source": [
    "seed_value = 42\n",
    "\n",
    "import os\n",
    "os.environ['PYTHONHASHSEED'] = str(seed_value)\n",
    "\n",
    "import random\n",
    "random.seed(seed_value)\n",
    "\n",
    "import numpy as np\n",
    "np.random.seed(seed_value)\n",
    "\n",
    "import tensorflow as tf\n",
    "tf.random.set_seed(seed_value)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 100,
   "id": "944110fd",
   "metadata": {},
   "outputs": [],
   "source": [
    "import matplotlib.pyplot as plt\n",
    "import pandas as pd\n",
    "import numpy as np\n",
    "\n",
    "import warnings \n",
    "warnings.filterwarnings('ignore')\n",
    "\n",
    "from utils.data import create_sequences\n",
    "from sklearn.preprocessing import StandardScaler\n",
    "from utils.metrics import mar, far, f1_score\n",
    "\n",
    "from models.lstm_ae import LSTM_AE"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 87,
   "id": "f04c2d59",
   "metadata": {},
   "outputs": [],
   "source": [
    "def preprocess_data(df, p = 10):\n",
    "    df_cp = df.copy()\n",
    "    df_cp = df_cp.diff(periods = p)\n",
    "    df_cp = df_cp / df_cp.std(axis=0)\n",
    "    return df_cp"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 88,
   "id": "e871907d",
   "metadata": {},
   "outputs": [],
   "source": [
    "p = 10"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 89,
   "id": "75bb380e",
   "metadata": {},
   "outputs": [],
   "source": [
    "anomaly_free = pd.read_csv(\"./data/anomaly-free/anomaly-free.csv\", \n",
    "                           sep=\";\", parse_dates=True, index_col=\"datetime\")\n",
    "\n",
    "anomaly_df = pd.read_csv(\"./data/valve1/0.csv\", sep=\";\", parse_dates=True, index_col=\"datetime\")\n",
    "\n",
    "anomalies = anomaly_df.anomaly[p:]\n",
    "anomaly_df.drop([\"anomaly\", \"changepoint\"], axis=1, inplace=True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 91,
   "id": "c818c705",
   "metadata": {},
   "outputs": [],
   "source": [
    "anomaly_free = preprocess_data(anomaly_free).dropna()\n",
    "anomaly_df = preprocess_data(anomaly_df).dropna()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 105,
   "id": "a9f8bc31",
   "metadata": {},
   "outputs": [],
   "source": [
    "from tensorflow import keras\n",
    "\n",
    "optimizer = keras.optimizers.Adam(learning_rate=0.00001)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 106,
   "id": "38313768",
   "metadata": {},
   "outputs": [],
   "source": [
    "from utils.pipeline import Pipeline, Predictor\n",
    "\n",
    "class Config:\n",
    "    TIME_STEPS = 50\n",
    "    epochs = 5\n",
    "    batch_size = 32 \n",
    "    Q = 0.99\n",
    "\n",
    "conf = Config\n",
    "\n",
    "class LSTM_AE_Predictor(Predictor):\n",
    "    def fit(self, df_train):\n",
    "        self.ss = StandardScaler()\n",
    "        \n",
    "        x_train = np.array(self.ss.fit_transform(df_train))\n",
    "        x_train = create_sequences(x_train, conf.TIME_STEPS)\n",
    "        \n",
    "        self.model = LSTM_AE(optimizer=optimizer, loss='mae')\n",
    "        self.model.fit(x_train, conf.epochs, conf.batch_size, conf.TIME_STEPS)\n",
    "        \n",
    "        health_r = pd.Series(np.sum(np.mean(np.abs(self.model.predict(x_train) - x_train), axis=1), axis=1))\n",
    "        self.UCL = health_r[: len(health_r) - conf.TIME_STEPS + 1].quantile(conf.Q)\n",
    "        return self\n",
    "        \n",
    "    def make_prediction(self, df_test):\n",
    "        x_test = np.array(self.ss.transform(df_test))\n",
    "        x_test = create_sequences(x_test, conf.TIME_STEPS)\n",
    "        \n",
    "        r = pd.Series(np.sum(np.mean(np.abs(self.model.predict(x_test) - x_test), axis=1), axis=1))  \n",
    "        \n",
    "        anomalous_data = r > self.UCL\n",
    "        anomalous_data_indices = [] \n",
    "        for data_idx in range(conf.TIME_STEPS, len(x_test) - conf.TIME_STEPS + 1):\n",
    "            if (anomalous_data[data_idx - conf.TIME_STEPS : data_idx]).astype(int).sum() >= conf.TIME_STEPS * 0.8:\n",
    "                anomalous_data_indices.append(data_idx - conf.TIME_STEPS)\n",
    "        prediction = pd.Series(data=0, index=df_test.index)\n",
    "        prediction.iloc[anomalous_data_indices] = 1\n",
    "        return prediction"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 107,
   "id": "df597f5d",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Epoch 1/5\n",
      "293/293 [==============================] - 117s 373ms/step - loss: 0.7366\n",
      "Epoch 2/5\n",
      "293/293 [==============================] - 110s 375ms/step - loss: 0.7360\n",
      "Epoch 3/5\n",
      "293/293 [==============================] - 109s 372ms/step - loss: 0.7335\n",
      "Epoch 4/5\n",
      "293/293 [==============================] - 108s 370ms/step - loss: 0.7309\n",
      "Epoch 5/5\n",
      "293/293 [==============================] - 118s 404ms/step - loss: 0.7294\n"
     ]
    }
   ],
   "source": [
    "predictor = LSTM_AE_Predictor().fit(anomaly_free)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 108,
   "id": "5e0b55d0",
   "metadata": {},
   "outputs": [],
   "source": [
    "prediction = predictor.make_prediction(anomaly_df)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 109,
   "id": "082bee1c",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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      "text/plain": [
       "<Figure size 1440x720 with 2 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "y_test = anomalies\n",
    "fig, axs = plt.subplots(2, 1, figsize=(20,10))\n",
    "temperatures = anomaly_df.Temperature\n",
    "axs[0].plot(temperatures)\n",
    "axs[1].plot(temperatures)\n",
    "\n",
    "y = pd.Series(prediction)\n",
    "anomalies_indecies = y.index[y == 1]\n",
    "axs[0].scatter(anomalies_indecies, temperatures[anomalies_indecies], color='r')\n",
    "axs[0].set_title(\"Temperature Predicted\")\n",
    "\n",
    "y = pd.Series(y_test)\n",
    "anomalies_indecies = pd.Series(y.values).index[y == 1]\n",
    "axs[1].scatter(anomaly_df.index[anomalies_indecies], temperatures[anomalies_indecies], color='r')\n",
    "axs[1].set_title(\"Temperature\")\n",
    "\n",
    "plt.show()"
   ]
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3 (ipykernel)",
   "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": "3.8.10"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 5
}