LSTM-noshuffle-nochange.ipynb

{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Simple EDA to understand the dataset\n",
    "- whats in our dataset\n",
    "- what do they look like"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [],
   "source": [
    "import pandas as pd\n",
    "import numpy as np\n",
    "import keras"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "CPU times: user 1min 13s, sys: 15.7 s, total: 1min 28s\n",
      "Wall time: 1min 26s\n"
     ]
    }
   ],
   "source": [
    "%%time\n",
    "train = pd.read_csv('../data/train.csv', dtype={'acoustic_data': np.int16, 'time_to_failure': np.float32})\n",
    "# note: this process took 2min 10scs on my computer"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [
    {
     "ename": "NameError",
     "evalue": "name 'train' is not defined",
     "output_type": "error",
     "traceback": [
      "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m",
      "\u001b[0;31mNameError\u001b[0m                                 Traceback (most recent call last)",
      "\u001b[0;32m<ipython-input-1-a619942c3f27>\u001b[0m in \u001b[0;36m<module>\u001b[0;34m\u001b[0m\n\u001b[0;32m----> 1\u001b[0;31m \u001b[0mtrain_df\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mtrain\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m",
      "\u001b[0;31mNameError\u001b[0m: name 'train' is not defined"
     ]
    }
   ],
   "source": [
    "train_df = train"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [
    {
     "ename": "NameError",
     "evalue": "name 'train_df' is not defined",
     "output_type": "error",
     "traceback": [
      "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m",
      "\u001b[0;31mNameError\u001b[0m                                 Traceback (most recent call last)",
      "\u001b[0;32m<ipython-input-2-193753be380d>\u001b[0m in \u001b[0;36m<module>\u001b[0;34m\u001b[0m\n\u001b[0;32m----> 1\u001b[0;31m \u001b[0mtrain_df\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mhead\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m",
      "\u001b[0;31mNameError\u001b[0m: name 'train_df' is not defined"
     ]
    }
   ],
   "source": [
    "train_df.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(629145480, 2)"
      ]
     },
     "execution_count": 16,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "train_df.shape"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Calculate aggregated features"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## LSTM Using Keras"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [],
   "source": [
    "chunk_size = 150000\n",
    "\n",
    "chunks = int(np.floor(train_df.shape[0]/chunk_size))\n",
    "\n",
    "X_data = pd.DataFrame(index=range(chunks), dtype=np.float32, columns=['min','max','std', 'avg', 'sum', 'median', 'mean_diff', \n",
    "                                                                       'q05', 'q25', 'q75', 'q95'])\n",
    "y_data = pd.DataFrame(index=range(chunks), dtype=np.float32, columns=['ttf'])\n",
    "\n",
    "def create_features(data_chunk, X_df, chunk_no, col_name='acoustic_data'):\n",
    "    x = data_chunk[col_name]\n",
    "    X_df.loc[chunk_no, 'min'] = x.min()\n",
    "    X_df.loc[chunk_no, 'max'] = x.max()\n",
    "    X_df.loc[chunk_no, 'std'] = x.std()\n",
    "    X_df.loc[chunk_no, 'avg'] = x.mean()\n",
    "    X_df.loc[chunk_no, 'sum'] = x.sum()\n",
    "    X_df.loc[chunk_no, 'median'] = x.median()\n",
    "    X_df.loc[chunk_no, 'mean_diff'] = np.mean(np.diff(x))\n",
    "    X_df.loc[chunk_no, 'q05'] = np.quantile(x, 0.05)\n",
    "    X_df.loc[chunk_no, 'q25'] = np.quantile(x, 0.25)\n",
    "    X_df.loc[chunk_no, 'q75'] = np.quantile(x, 0.75)\n",
    "    X_df.loc[chunk_no, 'q95'] = np.quantile(x, 0.95)\n",
    "    return X_df"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "100%|██████████| 4194/4194 [01:00<00:00, 68.90it/s] \n"
     ]
    }
   ],
   "source": [
    "from tqdm import tqdm\n",
    "for chunk_no in tqdm(range(chunks)):\n",
    "    data_chunk = train_df.iloc[chunk_no*chunk_size:chunk_no*chunk_size+chunk_size]\n",
    "    X_data = create_features(data_chunk, X_data, chunk_no)\n",
    "    y = data_chunk['time_to_failure'].values[-1]\n",
    "    y_data.loc[chunk_no, 'ttf'] = y"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "(4194, 11)\n",
      "(4194, 1)\n",
      "11\n"
     ]
    },
    {
     "data": {
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       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>min</th>\n",
       "      <th>max</th>\n",
       "      <th>std</th>\n",
       "      <th>avg</th>\n",
       "      <th>sum</th>\n",
       "      <th>median</th>\n",
       "      <th>mean_diff</th>\n",
       "      <th>q05</th>\n",
       "      <th>q25</th>\n",
       "      <th>q75</th>\n",
       "      <th>q95</th>\n",
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       "      <td>0</td>\n",
       "      <td>-98.0</td>\n",
       "      <td>104.0</td>\n",
       "      <td>5.101106</td>\n",
       "      <td>4.884113</td>\n",
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       "      <td>1</td>\n",
       "      <td>-154.0</td>\n",
       "      <td>181.0</td>\n",
       "      <td>6.588824</td>\n",
       "      <td>4.725767</td>\n",
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       "      <td>2.0</td>\n",
       "      <td>7.0</td>\n",
       "      <td>12.0</td>\n",
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       "    <tr>\n",
       "      <td>2</td>\n",
       "      <td>-106.0</td>\n",
       "      <td>140.0</td>\n",
       "      <td>6.967397</td>\n",
       "      <td>4.906394</td>\n",
       "      <td>735959.0</td>\n",
       "      <td>5.0</td>\n",
       "      <td>-0.000013</td>\n",
       "      <td>-3.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>7.0</td>\n",
       "      <td>13.0</td>\n",
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       "    <tr>\n",
       "      <td>3</td>\n",
       "      <td>-199.0</td>\n",
       "      <td>197.0</td>\n",
       "      <td>6.922305</td>\n",
       "      <td>4.902240</td>\n",
       "      <td>735336.0</td>\n",
       "      <td>5.0</td>\n",
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       "    <tr>\n",
       "      <td>4</td>\n",
       "      <td>-126.0</td>\n",
       "      <td>145.0</td>\n",
       "      <td>7.301110</td>\n",
       "      <td>4.908720</td>\n",
       "      <td>736308.0</td>\n",
       "      <td>5.0</td>\n",
       "      <td>-0.000007</td>\n",
       "      <td>-2.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>7.0</td>\n",
       "      <td>12.0</td>\n",
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      ],
      "text/plain": [
       "     min    max       std       avg       sum  median  mean_diff  q05  q25  \\\n",
       "0  -98.0  104.0  5.101106  4.884113  732617.0     5.0  -0.000080 -2.0  3.0   \n",
       "1 -154.0  181.0  6.588824  4.725767  708865.0     5.0   0.000000 -2.0  2.0   \n",
       "2 -106.0  140.0  6.967397  4.906394  735959.0     5.0  -0.000013 -3.0  2.0   \n",
       "3 -199.0  197.0  6.922305  4.902240  735336.0     5.0   0.000000 -2.0  2.0   \n",
       "4 -126.0  145.0  7.301110  4.908720  736308.0     5.0  -0.000007 -2.0  2.0   \n",
       "\n",
       "   q75   q95  \n",
       "0  7.0  11.0  \n",
       "1  7.0  12.0  \n",
       "2  7.0  13.0  \n",
       "3  7.0  12.0  \n",
       "4  7.0  12.0  "
      ]
     },
     "execution_count": 8,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "print(X_data.shape)\n",
    "print(y_data.shape)\n",
    "print(X_data.shape[1])\n",
    "X_data.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(3355, 11)"
      ]
     },
     "execution_count": 9,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "from sklearn.model_selection import train_test_split\n",
    "X_train, X_test, y_train, y_test = train_test_split(X_data.values, y_data.values, test_size=0.2)\n",
    "# X_test\n",
    "# X_data.values\n",
    "X_train.shape"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "Using TensorFlow backend.\n",
      "/Users/lynette/opt/anaconda3/lib/python3.7/site-packages/tensorflow/python/framework/dtypes.py:526: FutureWarning: Passing (type, 1) or '1type' as a synonym of type is deprecated; in a future version of numpy, it will be understood as (type, (1,)) / '(1,)type'.\n",
      "  _np_qint8 = np.dtype([(\"qint8\", np.int8, 1)])\n",
      "/Users/lynette/opt/anaconda3/lib/python3.7/site-packages/tensorflow/python/framework/dtypes.py:527: FutureWarning: Passing (type, 1) or '1type' as a synonym of type is deprecated; in a future version of numpy, it will be understood as (type, (1,)) / '(1,)type'.\n",
      "  _np_quint8 = np.dtype([(\"quint8\", np.uint8, 1)])\n",
      "/Users/lynette/opt/anaconda3/lib/python3.7/site-packages/tensorflow/python/framework/dtypes.py:528: FutureWarning: Passing (type, 1) or '1type' as a synonym of type is deprecated; in a future version of numpy, it will be understood as (type, (1,)) / '(1,)type'.\n",
      "  _np_qint16 = np.dtype([(\"qint16\", np.int16, 1)])\n",
      "/Users/lynette/opt/anaconda3/lib/python3.7/site-packages/tensorflow/python/framework/dtypes.py:529: FutureWarning: Passing (type, 1) or '1type' as a synonym of type is deprecated; in a future version of numpy, it will be understood as (type, (1,)) / '(1,)type'.\n",
      "  _np_quint16 = np.dtype([(\"quint16\", np.uint16, 1)])\n",
      "/Users/lynette/opt/anaconda3/lib/python3.7/site-packages/tensorflow/python/framework/dtypes.py:530: FutureWarning: Passing (type, 1) or '1type' as a synonym of type is deprecated; in a future version of numpy, it will be understood as (type, (1,)) / '(1,)type'.\n",
      "  _np_qint32 = np.dtype([(\"qint32\", np.int32, 1)])\n",
      "/Users/lynette/opt/anaconda3/lib/python3.7/site-packages/tensorflow/python/framework/dtypes.py:535: FutureWarning: Passing (type, 1) or '1type' as a synonym of type is deprecated; in a future version of numpy, it will be understood as (type, (1,)) / '(1,)type'.\n",
      "  np_resource = np.dtype([(\"resource\", np.ubyte, 1)])\n"
     ]
    }
   ],
   "source": [
    "from keras.models import Sequential\n",
    "from keras.layers import Dense, Dropout, Flatten, LSTM, Bidirectional\n",
    "from keras.optimizers import adam\n",
    "from keras.callbacks import ModelCheckpoint\n",
    "\n",
    "model = Sequential()\n",
    "model.add(Bidirectional(LSTM(512, kernel_initializer=\"RandomUniform\", input_shape= (X_train.shape[1], 1), return_sequences = True)))\n",
    "#model.add(CuDNNGRU(64, kernel_initializer=\"RandomUniform\", input_shape= (X_train.shape[1], 1)))\n",
    "model.add(Dropout(0.2))\n",
    "model.add(LSTM(256, dropout = 0.3, recurrent_dropout = 0.3))\n",
    "model.add(Dropout(0.2))\n",
    "model.add(Dense(64, activation=\"relu\"))\n",
    "model.add(Dropout(0.2))\n",
    "model.add(Dense(64, activation=\"relu\"))\n",
    "model.add(Dropout(0.2))\n",
    "# model.add(Flatten())\n",
    "model.add(Dense(1))\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "(3355, 11, 1)\n",
      "(3355, 1, 1)\n"
     ]
    }
   ],
   "source": [
    "\n",
    "# Reshaping for fit\n",
    "# X_train_array = np.reshape(X_train, (X_train.shape[0], 1, X_train.shape[1]))\n",
    "X_train_array = np.reshape(X_train, (X_train.shape[0], X_train.shape[1], 1))\n",
    "y_train_array = np.reshape(y_train, (y_train.shape[0], y_train.shape[1], 1))\n",
    "\n",
    "print(X_train_array.shape)\n",
    "print(y_train_array.shape)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "WARNING:tensorflow:From /Users/lynette/opt/anaconda3/lib/python3.7/site-packages/tensorflow/python/ops/resource_variable_ops.py:435: colocate_with (from tensorflow.python.framework.ops) is deprecated and will be removed in a future version.\n",
      "Instructions for updating:\n",
      "Colocations handled automatically by placer.\n",
      "WARNING:tensorflow:From /Users/lynette/opt/anaconda3/lib/python3.7/site-packages/tensorflow/python/ops/math_ops.py:3066: to_int32 (from tensorflow.python.ops.math_ops) is deprecated and will be removed in a future version.\n",
      "Instructions for updating:\n",
      "Use tf.cast instead.\n",
      "Train on 2684 samples, validate on 671 samples\n",
      "Epoch 1/150\n",
      "2684/2684 [==============================] - 17s 6ms/step - loss: 4.9384 - mae: 4.9384 - mse: 37.3750 - val_loss: 3.9864 - val_mae: 3.9864 - val_mse: 26.3397\n",
      "Epoch 2/150\n",
      "2684/2684 [==============================] - 15s 6ms/step - loss: 3.5998 - mae: 3.5998 - mse: 21.4580 - val_loss: 3.1647 - val_mae: 3.1647 - val_mse: 15.4821\n",
      "Epoch 3/150\n",
      "2684/2684 [==============================] - 16s 6ms/step - loss: 3.2318 - mae: 3.2318 - mse: 16.1179 - val_loss: 3.1249 - val_mae: 3.1249 - val_mse: 14.3786\n",
      "Epoch 4/150\n",
      "2684/2684 [==============================] - 16s 6ms/step - loss: 3.2115 - mae: 3.2115 - mse: 15.8595 - val_loss: 3.1113 - val_mae: 3.1113 - val_mse: 14.2753\n",
      "Epoch 5/150\n",
      "2684/2684 [==============================] - 18s 7ms/step - loss: 3.1669 - mae: 3.1669 - mse: 15.6288 - val_loss: 3.0970 - val_mae: 3.0970 - val_mse: 14.1373\n",
      "Epoch 6/150\n",
      "2684/2684 [==============================] - 22s 8ms/step - loss: 3.1908 - mae: 3.1908 - mse: 15.6331 - val_loss: 3.0728 - val_mae: 3.0728 - val_mse: 13.9948\n",
      "Epoch 7/150\n",
      "2684/2684 [==============================] - 16s 6ms/step - loss: 3.1451 - mae: 3.1451 - mse: 15.2424 - val_loss: 3.0428 - val_mae: 3.0428 - val_mse: 13.7071\n",
      "Epoch 8/150\n",
      "2684/2684 [==============================] - 19s 7ms/step - loss: 3.1281 - mae: 3.1281 - mse: 15.0345 - val_loss: 2.9710 - val_mae: 2.9710 - val_mse: 13.3199\n",
      "Epoch 9/150\n",
      "2684/2684 [==============================] - 19s 7ms/step - loss: 3.0581 - mae: 3.0581 - mse: 14.6887 - val_loss: 2.8874 - val_mae: 2.8874 - val_mse: 12.6899\n",
      "Epoch 10/150\n",
      "2684/2684 [==============================] - 18s 7ms/step - loss: 3.0142 - mae: 3.0142 - mse: 14.2189 - val_loss: 2.7936 - val_mae: 2.7936 - val_mse: 12.1480\n",
      "Epoch 11/150\n",
      "2684/2684 [==============================] - 17s 6ms/step - loss: 2.9619 - mae: 2.9619 - mse: 13.9301 - val_loss: 2.7406 - val_mae: 2.7406 - val_mse: 11.7928\n",
      "Epoch 12/150\n",
      "2684/2684 [==============================] - 18s 7ms/step - loss: 2.9228 - mae: 2.9228 - mse: 13.7729 - val_loss: 2.7388 - val_mae: 2.7388 - val_mse: 11.6773\n",
      "Epoch 13/150\n",
      "2684/2684 [==============================] - 19s 7ms/step - loss: 2.8502 - mae: 2.8502 - mse: 13.3009 - val_loss: 2.7201 - val_mae: 2.7201 - val_mse: 11.7072\n",
      "Epoch 14/150\n",
      "2684/2684 [==============================] - 21s 8ms/step - loss: 2.8580 - mae: 2.8580 - mse: 13.1669 - val_loss: 2.7122 - val_mae: 2.7122 - val_mse: 11.6643\n",
      "Epoch 15/150\n",
      "2684/2684 [==============================] - 22s 8ms/step - loss: 2.8621 - mae: 2.8621 - mse: 13.3071 - val_loss: 2.7155 - val_mae: 2.7155 - val_mse: 11.5426\n",
      "Epoch 16/150\n",
      "2684/2684 [==============================] - 18s 7ms/step - loss: 2.8659 - mae: 2.8659 - mse: 13.1693 - val_loss: 2.7022 - val_mae: 2.7022 - val_mse: 11.5793\n",
      "Epoch 17/150\n",
      "2684/2684 [==============================] - 17s 6ms/step - loss: 2.8722 - mae: 2.8722 - mse: 13.2701 - val_loss: 2.7023 - val_mae: 2.7023 - val_mse: 11.4642\n",
      "Epoch 18/150\n",
      "2684/2684 [==============================] - 17s 6ms/step - loss: 2.8783 - mae: 2.8783 - mse: 13.1651 - val_loss: 2.6986 - val_mae: 2.6986 - val_mse: 11.4291\n",
      "Epoch 19/150\n",
      "2684/2684 [==============================] - 17s 6ms/step - loss: 2.8412 - mae: 2.8412 - mse: 13.0735 - val_loss: 2.7015 - val_mae: 2.7015 - val_mse: 11.3986\n",
      "Epoch 20/150\n",
      "2684/2684 [==============================] - 16s 6ms/step - loss: 2.8275 - mae: 2.8275 - mse: 13.0183 - val_loss: 2.6970 - val_mae: 2.6970 - val_mse: 11.3606\n",
      "Epoch 21/150\n",
      "2684/2684 [==============================] - 15s 6ms/step - loss: 2.8449 - mae: 2.8449 - mse: 13.0715 - val_loss: 2.6968 - val_mae: 2.6968 - val_mse: 11.3358\n",
      "Epoch 22/150\n",
      "2684/2684 [==============================] - 18s 7ms/step - loss: 2.8460 - mae: 2.8460 - mse: 13.0816 - val_loss: 2.6830 - val_mae: 2.6830 - val_mse: 11.3224\n",
      "Epoch 23/150\n",
      "2684/2684 [==============================] - 17s 6ms/step - loss: 2.8243 - mae: 2.8243 - mse: 12.7625 - val_loss: 2.6936 - val_mae: 2.6936 - val_mse: 11.2833\n",
      "Epoch 24/150\n",
      "2684/2684 [==============================] - 16s 6ms/step - loss: 2.8550 - mae: 2.8550 - mse: 13.1157 - val_loss: 2.6739 - val_mae: 2.6739 - val_mse: 11.3022\n",
      "Epoch 25/150\n",
      "2684/2684 [==============================] - 17s 6ms/step - loss: 2.7983 - mae: 2.7983 - mse: 12.5648 - val_loss: 2.6734 - val_mae: 2.6734 - val_mse: 11.2604\n",
      "Epoch 26/150\n",
      "2684/2684 [==============================] - 17s 6ms/step - loss: 2.7952 - mae: 2.7952 - mse: 12.5625 - val_loss: 2.6680 - val_mae: 2.6680 - val_mse: 11.2567\n",
      "Epoch 27/150\n",
      "2684/2684 [==============================] - 18s 7ms/step - loss: 2.8178 - mae: 2.8178 - mse: 12.8603 - val_loss: 2.6668 - val_mae: 2.6668 - val_mse: 11.2197\n",
      "Epoch 28/150\n",
      "2684/2684 [==============================] - 18s 7ms/step - loss: 2.8148 - mae: 2.8148 - mse: 12.8341 - val_loss: 2.6615 - val_mae: 2.6615 - val_mse: 11.1929\n",
      "Epoch 29/150\n",
      "2684/2684 [==============================] - 16s 6ms/step - loss: 2.7954 - mae: 2.7954 - mse: 12.6806 - val_loss: 2.6621 - val_mae: 2.6621 - val_mse: 11.1440\n",
      "Epoch 30/150\n",
      "2684/2684 [==============================] - 18s 7ms/step - loss: 2.7917 - mae: 2.7917 - mse: 12.6022 - val_loss: 2.6489 - val_mae: 2.6489 - val_mse: 11.1559\n",
      "Epoch 31/150\n",
      "2684/2684 [==============================] - 16s 6ms/step - loss: 2.8106 - mae: 2.8106 - mse: 12.8901 - val_loss: 2.6447 - val_mae: 2.6447 - val_mse: 11.1177\n",
      "Epoch 32/150\n",
      "2684/2684 [==============================] - 16s 6ms/step - loss: 2.7497 - mae: 2.7497 - mse: 12.0946 - val_loss: 2.6402 - val_mae: 2.6402 - val_mse: 11.0705\n",
      "Epoch 33/150\n",
      "2684/2684 [==============================] - 16s 6ms/step - loss: 2.7654 - mae: 2.7654 - mse: 12.4826 - val_loss: 2.6573 - val_mae: 2.6573 - val_mse: 11.0201\n",
      "Epoch 34/150\n",
      "2684/2684 [==============================] - 17s 6ms/step - loss: 2.7539 - mae: 2.7539 - mse: 12.3894 - val_loss: 2.6482 - val_mae: 2.6482 - val_mse: 10.9820\n",
      "Epoch 35/150\n",
      "2684/2684 [==============================] - 20s 7ms/step - loss: 2.7612 - mae: 2.7612 - mse: 12.2947 - val_loss: 2.6284 - val_mae: 2.6284 - val_mse: 10.9688\n",
      "Epoch 36/150\n",
      "2684/2684 [==============================] - 21s 8ms/step - loss: 2.7883 - mae: 2.7883 - mse: 12.4353 - val_loss: 2.6315 - val_mae: 2.6315 - val_mse: 10.9066\n",
      "Epoch 37/150\n",
      "2684/2684 [==============================] - 19s 7ms/step - loss: 2.7872 - mae: 2.7872 - mse: 12.5255 - val_loss: 2.6151 - val_mae: 2.6151 - val_mse: 10.9290\n",
      "Epoch 38/150\n",
      "2684/2684 [==============================] - 22s 8ms/step - loss: 2.7938 - mae: 2.7938 - mse: 12.7596 - val_loss: 2.6174 - val_mae: 2.6174 - val_mse: 10.8519\n",
      "Epoch 39/150\n",
      "2684/2684 [==============================] - 18s 7ms/step - loss: 2.7347 - mae: 2.7347 - mse: 12.0923 - val_loss: 2.6059 - val_mae: 2.6059 - val_mse: 10.8339\n",
      "Epoch 40/150\n",
      "2684/2684 [==============================] - 22s 8ms/step - loss: 2.7328 - mae: 2.7328 - mse: 12.2754 - val_loss: 2.5926 - val_mae: 2.5926 - val_mse: 10.8403\n",
      "Epoch 41/150\n",
      "2684/2684 [==============================] - 20s 8ms/step - loss: 2.7292 - mae: 2.7292 - mse: 12.2329 - val_loss: 2.5891 - val_mae: 2.5891 - val_mse: 10.7124\n",
      "Epoch 42/150\n",
      "2684/2684 [==============================] - 18s 7ms/step - loss: 2.7264 - mae: 2.7264 - mse: 12.1077 - val_loss: 2.5989 - val_mae: 2.5989 - val_mse: 10.6393\n",
      "Epoch 43/150\n",
      "2684/2684 [==============================] - 19s 7ms/step - loss: 2.6876 - mae: 2.6876 - mse: 11.9964 - val_loss: 2.5834 - val_mae: 2.5834 - val_mse: 10.6026\n",
      "Epoch 44/150\n",
      "2684/2684 [==============================] - 18s 7ms/step - loss: 2.7359 - mae: 2.7359 - mse: 12.2460 - val_loss: 2.5657 - val_mae: 2.5657 - val_mse: 10.5320\n",
      "Epoch 45/150\n",
      "2684/2684 [==============================] - 17s 6ms/step - loss: 2.6872 - mae: 2.6872 - mse: 11.7780 - val_loss: 2.5516 - val_mae: 2.5516 - val_mse: 10.4674\n",
      "Epoch 46/150\n",
      "2684/2684 [==============================] - 17s 6ms/step - loss: 2.6517 - mae: 2.6517 - mse: 11.5937 - val_loss: 2.5448 - val_mae: 2.5448 - val_mse: 10.3684\n",
      "Epoch 47/150\n",
      "2684/2684 [==============================] - 16s 6ms/step - loss: 2.6699 - mae: 2.6699 - mse: 11.7228 - val_loss: 2.5429 - val_mae: 2.5429 - val_mse: 10.3048\n",
      "Epoch 48/150\n",
      "2684/2684 [==============================] - 16s 6ms/step - loss: 2.6780 - mae: 2.6780 - mse: 11.7892 - val_loss: 2.5157 - val_mae: 2.5157 - val_mse: 10.2094\n",
      "Epoch 49/150\n",
      "2684/2684 [==============================] - 17s 6ms/step - loss: 2.6577 - mae: 2.6577 - mse: 11.6711 - val_loss: 2.4954 - val_mae: 2.4954 - val_mse: 10.1780\n",
      "Epoch 50/150\n",
      "2684/2684 [==============================] - 20s 7ms/step - loss: 2.6720 - mae: 2.6720 - mse: 11.5129 - val_loss: 2.5176 - val_mae: 2.5176 - val_mse: 10.0250\n",
      "Epoch 51/150\n",
      "2684/2684 [==============================] - 16s 6ms/step - loss: 2.6037 - mae: 2.6037 - mse: 11.1826 - val_loss: 2.4774 - val_mae: 2.4774 - val_mse: 9.9276\n",
      "Epoch 52/150\n",
      "2684/2684 [==============================] - 17s 6ms/step - loss: 2.6107 - mae: 2.6107 - mse: 11.2097 - val_loss: 2.4465 - val_mae: 2.4465 - val_mse: 9.9501\n",
      "Epoch 53/150\n",
      "2684/2684 [==============================] - 17s 6ms/step - loss: 2.5618 - mae: 2.5618 - mse: 10.9487 - val_loss: 2.4370 - val_mae: 2.4370 - val_mse: 9.6892\n",
      "Epoch 54/150\n",
      "2684/2684 [==============================] - 28s 10ms/step - loss: 2.6063 - mae: 2.6063 - mse: 11.1427 - val_loss: 2.4152 - val_mae: 2.4152 - val_mse: 9.5770\n",
      "Epoch 55/150\n",
      "2684/2684 [==============================] - 19s 7ms/step - loss: 2.5733 - mae: 2.5733 - mse: 11.0679 - val_loss: 2.4242 - val_mae: 2.4242 - val_mse: 9.4471\n",
      "Epoch 56/150\n",
      "2684/2684 [==============================] - 17s 6ms/step - loss: 2.5393 - mae: 2.5393 - mse: 10.7613 - val_loss: 2.4100 - val_mae: 2.4100 - val_mse: 9.3352\n",
      "Epoch 57/150\n",
      "2684/2684 [==============================] - 17s 6ms/step - loss: 2.5326 - mae: 2.5326 - mse: 10.7437 - val_loss: 2.4005 - val_mae: 2.4005 - val_mse: 9.2520\n",
      "Epoch 58/150\n",
      "2684/2684 [==============================] - 18s 7ms/step - loss: 2.5247 - mae: 2.5247 - mse: 10.6757 - val_loss: 2.3398 - val_mae: 2.3398 - val_mse: 9.1732\n",
      "Epoch 59/150\n",
      "2684/2684 [==============================] - 18s 7ms/step - loss: 2.5342 - mae: 2.5342 - mse: 10.6117 - val_loss: 2.3463 - val_mae: 2.3463 - val_mse: 9.0011\n",
      "Epoch 60/150\n",
      "2684/2684 [==============================] - 17s 6ms/step - loss: 2.5088 - mae: 2.5088 - mse: 10.3897 - val_loss: 2.3100 - val_mae: 2.3100 - val_mse: 8.8762\n",
      "Epoch 61/150\n",
      "2684/2684 [==============================] - 16s 6ms/step - loss: 2.4752 - mae: 2.4752 - mse: 10.3986 - val_loss: 2.3024 - val_mae: 2.3024 - val_mse: 8.7960\n",
      "Epoch 62/150\n",
      "2684/2684 [==============================] - 16s 6ms/step - loss: 2.4543 - mae: 2.4543 - mse: 10.2639 - val_loss: 2.3248 - val_mae: 2.3248 - val_mse: 8.7889\n",
      "Epoch 63/150\n",
      "2684/2684 [==============================] - 15s 6ms/step - loss: 2.4172 - mae: 2.4172 - mse: 10.0842 - val_loss: 2.2714 - val_mae: 2.2714 - val_mse: 8.7933\n",
      "Epoch 64/150\n",
      "2684/2684 [==============================] - 16s 6ms/step - loss: 2.4743 - mae: 2.4743 - mse: 10.2856 - val_loss: 2.2803 - val_mae: 2.2803 - val_mse: 8.9887\n",
      "Epoch 65/150\n",
      "2684/2684 [==============================] - 15s 6ms/step - loss: 2.4644 - mae: 2.4644 - mse: 10.2110 - val_loss: 2.2556 - val_mae: 2.2556 - val_mse: 8.4603\n",
      "Epoch 66/150\n",
      "2684/2684 [==============================] - 16s 6ms/step - loss: 2.4200 - mae: 2.4200 - mse: 9.8427 - val_loss: 2.2391 - val_mae: 2.2391 - val_mse: 8.4807\n",
      "Epoch 67/150\n",
      "2684/2684 [==============================] - 15s 6ms/step - loss: 2.4174 - mae: 2.4174 - mse: 9.9500 - val_loss: 2.2346 - val_mae: 2.2346 - val_mse: 8.4474\n",
      "Epoch 68/150\n",
      "2684/2684 [==============================] - 19s 7ms/step - loss: 2.3785 - mae: 2.3785 - mse: 9.7806 - val_loss: 2.2345 - val_mae: 2.2345 - val_mse: 8.5009\n",
      "Epoch 69/150\n",
      "2684/2684 [==============================] - 17s 6ms/step - loss: 2.3684 - mae: 2.3684 - mse: 9.6123 - val_loss: 2.2248 - val_mae: 2.2248 - val_mse: 8.3603\n",
      "Epoch 70/150\n",
      "2684/2684 [==============================] - 16s 6ms/step - loss: 2.3918 - mae: 2.3918 - mse: 9.7683 - val_loss: 2.2439 - val_mae: 2.2439 - val_mse: 8.7089\n",
      "Epoch 71/150\n",
      "2684/2684 [==============================] - 18s 7ms/step - loss: 2.3641 - mae: 2.3641 - mse: 9.6335 - val_loss: 2.2224 - val_mae: 2.2224 - val_mse: 8.3108\n",
      "Epoch 72/150\n",
      "2684/2684 [==============================] - 20s 8ms/step - loss: 2.3416 - mae: 2.3416 - mse: 9.5176 - val_loss: 2.2249 - val_mae: 2.2249 - val_mse: 8.4396\n",
      "Epoch 73/150\n",
      "2684/2684 [==============================] - 22s 8ms/step - loss: 2.3521 - mae: 2.3521 - mse: 9.5482 - val_loss: 2.2204 - val_mae: 2.2204 - val_mse: 8.2671\n",
      "Epoch 74/150\n",
      "2684/2684 [==============================] - 19s 7ms/step - loss: 2.3272 - mae: 2.3272 - mse: 9.3097 - val_loss: 2.2227 - val_mae: 2.2227 - val_mse: 8.4276\n",
      "Epoch 75/150\n",
      "2684/2684 [==============================] - 18s 7ms/step - loss: 2.3568 - mae: 2.3568 - mse: 9.5604 - val_loss: 2.2194 - val_mae: 2.2194 - val_mse: 8.3038\n",
      "Epoch 76/150\n",
      "2684/2684 [==============================] - 16s 6ms/step - loss: 2.3596 - mae: 2.3596 - mse: 9.6782 - val_loss: 2.2232 - val_mae: 2.2232 - val_mse: 8.4032\n",
      "Epoch 77/150\n",
      "2684/2684 [==============================] - 16s 6ms/step - loss: 2.3320 - mae: 2.3320 - mse: 9.4204 - val_loss: 2.2185 - val_mae: 2.2185 - val_mse: 8.2966\n",
      "Epoch 78/150\n",
      "2684/2684 [==============================] - 15s 6ms/step - loss: 2.3334 - mae: 2.3334 - mse: 9.5875 - val_loss: 2.2204 - val_mae: 2.2204 - val_mse: 8.4155\n",
      "Epoch 79/150\n",
      "2684/2684 [==============================] - 18s 7ms/step - loss: 2.3331 - mae: 2.3331 - mse: 9.4711 - val_loss: 2.2260 - val_mae: 2.2260 - val_mse: 8.4855\n",
      "Epoch 80/150\n",
      "2684/2684 [==============================] - 16s 6ms/step - loss: 2.3491 - mae: 2.3491 - mse: 9.4644 - val_loss: 2.2542 - val_mae: 2.2542 - val_mse: 8.8466\n",
      "Epoch 81/150\n",
      "2684/2684 [==============================] - 15s 6ms/step - loss: 2.3508 - mae: 2.3508 - mse: 9.5115 - val_loss: 2.2190 - val_mae: 2.2190 - val_mse: 8.3966\n",
      "Epoch 82/150\n",
      "2684/2684 [==============================] - 16s 6ms/step - loss: 2.3046 - mae: 2.3046 - mse: 9.3585 - val_loss: 2.2268 - val_mae: 2.2268 - val_mse: 8.2797\n",
      "Epoch 83/150\n",
      "2684/2684 [==============================] - 15s 6ms/step - loss: 2.3182 - mae: 2.3182 - mse: 9.2220 - val_loss: 2.2193 - val_mae: 2.2193 - val_mse: 8.3826\n",
      "Epoch 84/150\n",
      "2684/2684 [==============================] - 15s 5ms/step - loss: 2.3632 - mae: 2.3632 - mse: 9.6720 - val_loss: 2.2203 - val_mae: 2.2203 - val_mse: 8.3981\n",
      "Epoch 85/150\n",
      "2684/2684 [==============================] - 14s 5ms/step - loss: 2.3207 - mae: 2.3207 - mse: 9.3811 - val_loss: 2.2209 - val_mae: 2.2209 - val_mse: 8.4328\n",
      "Epoch 86/150\n",
      "2684/2684 [==============================] - 14s 5ms/step - loss: 2.3240 - mae: 2.3240 - mse: 9.3357 - val_loss: 2.2178 - val_mae: 2.2178 - val_mse: 8.3562\n",
      "Epoch 87/150\n",
      "2684/2684 [==============================] - 14s 5ms/step - loss: 2.3421 - mae: 2.3421 - mse: 9.5766 - val_loss: 2.2350 - val_mae: 2.2350 - val_mse: 8.6337\n",
      "Epoch 88/150\n",
      "2684/2684 [==============================] - 14s 5ms/step - loss: 2.3466 - mae: 2.3466 - mse: 9.5457 - val_loss: 2.2218 - val_mae: 2.2218 - val_mse: 8.4630\n",
      "Epoch 89/150\n",
      "2684/2684 [==============================] - 14s 5ms/step - loss: 2.3190 - mae: 2.3190 - mse: 9.2864 - val_loss: 2.2180 - val_mae: 2.2180 - val_mse: 8.2755\n",
      "Epoch 90/150\n",
      "2684/2684 [==============================] - 14s 5ms/step - loss: 2.3327 - mae: 2.3327 - mse: 9.3785 - val_loss: 2.2205 - val_mae: 2.2205 - val_mse: 8.4371\n",
      "Epoch 91/150\n",
      "2684/2684 [==============================] - 14s 5ms/step - loss: 2.3037 - mae: 2.3037 - mse: 9.3179 - val_loss: 2.2140 - val_mae: 2.2140 - val_mse: 8.2583\n",
      "Epoch 92/150\n",
      "2684/2684 [==============================] - 14s 5ms/step - loss: 2.3304 - mae: 2.3304 - mse: 9.4185 - val_loss: 2.2175 - val_mae: 2.2175 - val_mse: 8.3943\n",
      "Epoch 93/150\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "2684/2684 [==============================] - 14s 5ms/step - loss: 2.2991 - mae: 2.2991 - mse: 9.1186 - val_loss: 2.2212 - val_mae: 2.2212 - val_mse: 8.4644\n",
      "Epoch 94/150\n",
      "2684/2684 [==============================] - 14s 5ms/step - loss: 2.3163 - mae: 2.3163 - mse: 9.3678 - val_loss: 2.2180 - val_mae: 2.2180 - val_mse: 8.4107\n",
      "Epoch 95/150\n",
      "2684/2684 [==============================] - 14s 5ms/step - loss: 2.3272 - mae: 2.3272 - mse: 9.3426 - val_loss: 2.2313 - val_mae: 2.2313 - val_mse: 8.6043\n",
      "Epoch 96/150\n",
      "2684/2684 [==============================] - 14s 5ms/step - loss: 2.3218 - mae: 2.3218 - mse: 9.4631 - val_loss: 2.2242 - val_mae: 2.2242 - val_mse: 8.4971\n",
      "Epoch 97/150\n",
      "2684/2684 [==============================] - 14s 5ms/step - loss: 2.3068 - mae: 2.3068 - mse: 9.2423 - val_loss: 2.2182 - val_mae: 2.2182 - val_mse: 8.3255\n",
      "Epoch 98/150\n",
      "2684/2684 [==============================] - 14s 5ms/step - loss: 2.3011 - mae: 2.3011 - mse: 9.1500 - val_loss: 2.2277 - val_mae: 2.2277 - val_mse: 8.5527\n",
      "Epoch 99/150\n",
      "2684/2684 [==============================] - 14s 5ms/step - loss: 2.3046 - mae: 2.3046 - mse: 9.1425 - val_loss: 2.2185 - val_mae: 2.2185 - val_mse: 8.4182\n",
      "Epoch 100/150\n",
      "2684/2684 [==============================] - 14s 5ms/step - loss: 2.2976 - mae: 2.2976 - mse: 9.2129 - val_loss: 2.2172 - val_mae: 2.2172 - val_mse: 8.3007\n",
      "Epoch 101/150\n",
      "2684/2684 [==============================] - 14s 5ms/step - loss: 2.2605 - mae: 2.2605 - mse: 8.8777 - val_loss: 2.2141 - val_mae: 2.2141 - val_mse: 8.3046\n",
      "Epoch 102/150\n",
      "2684/2684 [==============================] - 14s 5ms/step - loss: 2.3020 - mae: 2.3020 - mse: 9.0577 - val_loss: 2.2130 - val_mae: 2.2130 - val_mse: 8.2564\n",
      "Epoch 103/150\n",
      "2684/2684 [==============================] - 14s 5ms/step - loss: 2.2846 - mae: 2.2846 - mse: 8.9792 - val_loss: 2.2147 - val_mae: 2.2147 - val_mse: 8.3697\n",
      "Epoch 104/150\n",
      "2684/2684 [==============================] - 14s 5ms/step - loss: 2.2765 - mae: 2.2765 - mse: 8.8872 - val_loss: 2.2095 - val_mae: 2.2095 - val_mse: 8.2859\n",
      "Epoch 105/150\n",
      "2684/2684 [==============================] - 17s 6ms/step - loss: 2.2962 - mae: 2.2962 - mse: 9.0714 - val_loss: 2.2145 - val_mae: 2.2145 - val_mse: 8.3649\n",
      "Epoch 106/150\n",
      "2684/2684 [==============================] - 15s 6ms/step - loss: 2.2830 - mae: 2.2830 - mse: 9.0940 - val_loss: 2.2083 - val_mae: 2.2083 - val_mse: 8.2485\n",
      "Epoch 107/150\n",
      "2684/2684 [==============================] - 14s 5ms/step - loss: 2.3045 - mae: 2.3045 - mse: 9.1355 - val_loss: 2.2170 - val_mae: 2.2170 - val_mse: 8.3902\n",
      "Epoch 108/150\n",
      "2684/2684 [==============================] - 14s 5ms/step - loss: 2.2783 - mae: 2.2783 - mse: 9.0451 - val_loss: 2.2193 - val_mae: 2.2193 - val_mse: 8.4296\n",
      "Epoch 109/150\n",
      "2684/2684 [==============================] - 15s 6ms/step - loss: 2.3171 - mae: 2.3171 - mse: 9.2963 - val_loss: 2.2186 - val_mae: 2.2186 - val_mse: 8.4165\n",
      "Epoch 110/150\n",
      "2684/2684 [==============================] - 16s 6ms/step - loss: 2.2701 - mae: 2.2701 - mse: 9.0667 - val_loss: 2.2305 - val_mae: 2.2305 - val_mse: 8.5839\n",
      "Epoch 111/150\n",
      "2684/2684 [==============================] - 16s 6ms/step - loss: 2.2823 - mae: 2.2823 - mse: 8.9425 - val_loss: 2.2231 - val_mae: 2.2231 - val_mse: 8.4918\n",
      "Epoch 112/150\n",
      "2684/2684 [==============================] - 16s 6ms/step - loss: 2.2878 - mae: 2.2878 - mse: 8.9766 - val_loss: 2.2207 - val_mae: 2.2207 - val_mse: 8.4567\n",
      "Epoch 113/150\n",
      "2684/2684 [==============================] - 16s 6ms/step - loss: 2.2816 - mae: 2.2816 - mse: 8.9995 - val_loss: 2.2092 - val_mae: 2.2092 - val_mse: 8.2207\n",
      "Epoch 114/150\n",
      "2684/2684 [==============================] - 14s 5ms/step - loss: 2.2874 - mae: 2.2874 - mse: 9.0432 - val_loss: 2.2212 - val_mae: 2.2212 - val_mse: 8.4640\n",
      "Epoch 115/150\n",
      "2684/2684 [==============================] - 14s 5ms/step - loss: 2.2874 - mae: 2.2874 - mse: 9.2693 - val_loss: 2.2084 - val_mae: 2.2084 - val_mse: 8.2125\n",
      "Epoch 116/150\n",
      "2684/2684 [==============================] - 15s 6ms/step - loss: 2.2601 - mae: 2.2601 - mse: 8.9258 - val_loss: 2.2127 - val_mae: 2.2127 - val_mse: 8.2185\n",
      "Epoch 117/150\n",
      "2684/2684 [==============================] - 14s 5ms/step - loss: 2.2745 - mae: 2.2745 - mse: 8.9341 - val_loss: 2.2114 - val_mae: 2.2114 - val_mse: 8.3151\n",
      "Epoch 118/150\n",
      "2684/2684 [==============================] - 14s 5ms/step - loss: 2.2873 - mae: 2.2873 - mse: 8.9906 - val_loss: 2.2152 - val_mae: 2.2152 - val_mse: 8.3782\n",
      "Epoch 119/150\n",
      "2684/2684 [==============================] - 14s 5ms/step - loss: 2.2572 - mae: 2.2572 - mse: 8.8771 - val_loss: 2.2164 - val_mae: 2.2164 - val_mse: 8.4039\n",
      "Epoch 120/150\n",
      "2684/2684 [==============================] - 14s 5ms/step - loss: 2.3001 - mae: 2.3001 - mse: 9.2339 - val_loss: 2.2054 - val_mae: 2.2054 - val_mse: 8.2200\n",
      "Epoch 121/150\n",
      "2684/2684 [==============================] - 14s 5ms/step - loss: 2.2517 - mae: 2.2517 - mse: 8.7218 - val_loss: 2.2088 - val_mae: 2.2088 - val_mse: 8.2849\n",
      "Epoch 122/150\n",
      "2684/2684 [==============================] - 14s 5ms/step - loss: 2.2908 - mae: 2.2908 - mse: 9.0292 - val_loss: 2.2110 - val_mae: 2.2110 - val_mse: 8.3131\n",
      "Epoch 123/150\n",
      "2684/2684 [==============================] - 14s 5ms/step - loss: 2.3064 - mae: 2.3064 - mse: 9.1971 - val_loss: 2.2198 - val_mae: 2.2198 - val_mse: 8.4571\n",
      "Epoch 124/150\n",
      "2684/2684 [==============================] - 14s 5ms/step - loss: 2.2981 - mae: 2.2981 - mse: 9.1031 - val_loss: 2.2060 - val_mae: 2.2060 - val_mse: 8.2341\n",
      "Epoch 125/150\n",
      "2684/2684 [==============================] - 14s 5ms/step - loss: 2.2853 - mae: 2.2853 - mse: 9.0142 - val_loss: 2.2252 - val_mae: 2.2252 - val_mse: 8.5066\n",
      "Epoch 126/150\n",
      "2684/2684 [==============================] - 15s 5ms/step - loss: 2.2670 - mae: 2.2670 - mse: 8.8656 - val_loss: 2.2318 - val_mae: 2.2318 - val_mse: 8.5967\n",
      "Epoch 127/150\n",
      "2684/2684 [==============================] - 15s 6ms/step - loss: 2.2471 - mae: 2.2471 - mse: 8.8471 - val_loss: 2.2106 - val_mae: 2.2106 - val_mse: 8.3173\n",
      "Epoch 128/150\n",
      "2684/2684 [==============================] - 16s 6ms/step - loss: 2.2900 - mae: 2.2900 - mse: 9.0425 - val_loss: 2.2155 - val_mae: 2.2155 - val_mse: 8.3976\n",
      "Epoch 129/150\n",
      "2684/2684 [==============================] - 14s 5ms/step - loss: 2.3120 - mae: 2.3120 - mse: 9.1386 - val_loss: 2.2088 - val_mae: 2.2088 - val_mse: 8.2025\n",
      "Epoch 130/150\n",
      "2684/2684 [==============================] - 14s 5ms/step - loss: 2.2955 - mae: 2.2955 - mse: 9.1098 - val_loss: 2.2058 - val_mae: 2.2058 - val_mse: 8.1704\n",
      "Epoch 131/150\n",
      "2684/2684 [==============================] - 15s 6ms/step - loss: 2.2832 - mae: 2.2832 - mse: 8.9446 - val_loss: 2.2059 - val_mae: 2.2059 - val_mse: 8.1881\n",
      "Epoch 132/150\n",
      "2684/2684 [==============================] - 16s 6ms/step - loss: 2.2490 - mae: 2.2490 - mse: 8.8173 - val_loss: 2.2145 - val_mae: 2.2145 - val_mse: 8.1921\n",
      "Epoch 133/150\n",
      "2684/2684 [==============================] - 15s 5ms/step - loss: 2.3015 - mae: 2.3015 - mse: 9.1234 - val_loss: 2.2088 - val_mae: 2.2088 - val_mse: 8.2635\n",
      "Epoch 134/150\n",
      "2684/2684 [==============================] - 15s 5ms/step - loss: 2.2697 - mae: 2.2697 - mse: 8.8702 - val_loss: 2.2069 - val_mae: 2.2069 - val_mse: 8.2113\n",
      "Epoch 135/150\n",
      "2684/2684 [==============================] - 15s 6ms/step - loss: 2.2598 - mae: 2.2598 - mse: 8.7919 - val_loss: 2.2090 - val_mae: 2.2090 - val_mse: 8.2255\n",
      "Epoch 136/150\n",
      "2684/2684 [==============================] - 15s 6ms/step - loss: 2.2873 - mae: 2.2873 - mse: 8.8872 - val_loss: 2.2266 - val_mae: 2.2266 - val_mse: 8.5247\n",
      "Epoch 137/150\n",
      "2684/2684 [==============================] - 15s 6ms/step - loss: 2.2436 - mae: 2.2436 - mse: 8.8742 - val_loss: 2.2063 - val_mae: 2.2063 - val_mse: 8.2130\n",
      "Epoch 138/150\n",
      "2684/2684 [==============================] - 15s 5ms/step - loss: 2.2892 - mae: 2.2892 - mse: 9.0992 - val_loss: 2.2125 - val_mae: 2.2125 - val_mse: 8.3527\n",
      "Epoch 139/150\n",
      "2684/2684 [==============================] - 14s 5ms/step - loss: 2.2733 - mae: 2.2733 - mse: 9.1983 - val_loss: 2.2272 - val_mae: 2.2272 - val_mse: 8.5549\n",
      "Epoch 140/150\n",
      "2684/2684 [==============================] - 15s 5ms/step - loss: 2.2680 - mae: 2.2680 - mse: 8.8878 - val_loss: 2.2181 - val_mae: 2.2181 - val_mse: 8.4352\n",
      "Epoch 141/150\n",
      "2684/2684 [==============================] - 15s 6ms/step - loss: 2.2618 - mae: 2.2618 - mse: 8.9988 - val_loss: 2.2075 - val_mae: 2.2075 - val_mse: 8.1636\n",
      "Epoch 142/150\n",
      "2684/2684 [==============================] - 15s 6ms/step - loss: 2.2556 - mae: 2.2556 - mse: 8.8058 - val_loss: 2.2112 - val_mae: 2.2112 - val_mse: 8.1931\n",
      "Epoch 143/150\n",
      "2684/2684 [==============================] - 14s 5ms/step - loss: 2.2813 - mae: 2.2813 - mse: 9.0257 - val_loss: 2.2099 - val_mae: 2.2099 - val_mse: 8.2807\n",
      "Epoch 144/150\n",
      "2684/2684 [==============================] - 15s 5ms/step - loss: 2.2159 - mae: 2.2159 - mse: 8.5487 - val_loss: 2.2057 - val_mae: 2.2057 - val_mse: 8.1939\n",
      "Epoch 145/150\n",
      "2684/2684 [==============================] - 14s 5ms/step - loss: 2.2851 - mae: 2.2851 - mse: 8.9734 - val_loss: 2.2052 - val_mae: 2.2052 - val_mse: 8.1886\n",
      "Epoch 146/150\n",
      "2684/2684 [==============================] - 15s 5ms/step - loss: 2.2759 - mae: 2.2759 - mse: 8.8643 - val_loss: 2.2083 - val_mae: 2.2083 - val_mse: 8.2553\n",
      "Epoch 147/150\n",
      "2684/2684 [==============================] - 14s 5ms/step - loss: 2.2487 - mae: 2.2487 - mse: 8.8049 - val_loss: 2.2086 - val_mae: 2.2086 - val_mse: 8.2575\n",
      "Epoch 148/150\n",
      "2684/2684 [==============================] - 14s 5ms/step - loss: 2.2860 - mae: 2.2860 - mse: 9.1174 - val_loss: 2.2144 - val_mae: 2.2144 - val_mse: 8.3811\n",
      "Epoch 149/150\n",
      "2684/2684 [==============================] - 14s 5ms/step - loss: 2.2828 - mae: 2.2828 - mse: 9.0969 - val_loss: 2.2159 - val_mae: 2.2159 - val_mse: 8.3999\n",
      "Epoch 150/150\n",
      "2684/2684 [==============================] - 15s 5ms/step - loss: 2.2561 - mae: 2.2561 - mse: 8.7786 - val_loss: 2.2180 - val_mae: 2.2180 - val_mse: 8.4232\n"
     ]
    }
   ],
   "source": [
    "\n",
    "\n",
    "\n",
    "# model.compile(loss=\"mean_squared_error\", optimizer=\"rmsprop\", metrics=[\"mse\"])\n",
    "opt = keras.optimizers.Adam(learning_rate=1e-5)\n",
    "model.compile(loss=\"mean_absolute_error\", optimizer=opt, metrics=[\"mae\", \"mse\"])\n",
    "#model.summary()\n",
    "\n",
    "build = model.fit(X_train_array, y_train, epochs=150, batch_size=30, validation_split = 0.20, verbose=1, shuffle = False)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "dict_keys(['val_loss', 'val_mae', 'val_mse', 'loss', 'mae', 'mse'])\n"
     ]
    },
    {
     "data": {
      "image/png": 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QIogEIIpKqrSxWCmlaoROIgivLhFoY7FSSvmrVyIQkU9E5BwRab6JI8wFYeFE4dFEoJRSfup7Y38euBxYJyKPi0iPAMYUOOHRRFKp4wiUUspPvRKBMeZbY8wVwABgMzBNRGaLyG9FJDyQATYodxSRVOrIYqWU8lPvqh4RSQKuAa4HFgH/wSaGaQGJLBCcRODxaYlAKaWq1WtksYhMBHoAbwHnGmN2OLs+EJHMQAXX4MKjiKjSxmKllPJX3ykmnjHGfF/XDmPMoAaMJ7DcUYR7tPuoUkr5q2/VUE8RSah+IiKtROTmAMUUOOHRRJgKKrVEoJRSNeqbCG4wxhRUPzHG7AFuCExIAeSOJNxoY7FSSvmrbyII819LWERcQERgQgogdzThvgp8BrzaYKyUUkD92wi+AT4UkRewS0neBHwdsKgCJTyKcFMBgMfrwxXmCnJASikVfPVNBPcBNwK/w64zPBV4JVBBBYw7GrevEoAqLREopRRQz0RgjPFhRxc/H9hwAiw8CrfPKRFU+SAyyPEopVQTUN9xBN2AvwG9gKjq7caYzgGKKzDcfolAp6JWSimg/o3Fr2NLA1XAKOBN7OCy5sUdhctXDqBjCZRSylHfRBBtjPkOEGPMFmPMn4BTAxdWgIRH4/J5CMOno4uVUspR38bicmcK6nUiciuwHWgduLACxG1rtSLw6AykSinlqG+J4E4gBrgdGAiMB64OVFABU704DTrfkFJKVfvFEoEzeOwSY8w9QDHw24BHFSi6XKVSSh3gF0sExhgvMNB/ZHGz5d63XGVxRVWQg1FKqaahvm0Ei4BJIvIRUFK90RgzMSBRBUq4bSOIwkNBaWWQg1FKqaahvokgEchj/55CBmheicApEURSyZ5ST5CDUUqppqG+I4ubb7uAP78SwR4tESilFFD/kcWvY0sA+zHGXHuI10QBM7ETObiBj40xj9Q65hrgn9juqGAXwAncHEZO99H48CrySzQRKKUU1L9qaIrf4yjgAiD7F15TAZxqjCl2FrifJSJfGWPm1jruA2PMrfWM4+g4iSAp0qclAqWUctS3augT/+ci8h7w7S+8xmC7mwKEOz/B7bPpjCNIjPSyUksESikF1H9AWW3dgPRfOkhEXCKyGMgBphlj5tVx2EUislREPhaRDgc5zwQRyRSRzNzc3CMMmZoSQatwL/naWKyUUkA9E4GIFInI3uof4HPsGgWHZIzxGmP6AWnAEBHpXeuQz4EMY0xfbAnjjYOc5yVjzCBjzKCUlJT6hFy3mjYCn3YfVUopR32rhuKO5k2MMQUiMgM4C1jutz3P77CXgb8fzfv8ovDqRODVxmKllHLUt0RwgYjE+z1PEJHzf+E1KSKS4DyOBk4HVtc6pp3f03HAqvoGfkSccQRxriqKyqt0viGllKL+bQSPGGMKq58YYwqARw5xPEA7YLqILAV+xrYRTBGRx0RknHPM7SKyQkSWYCe0u+bwwj9MLjeEuYl12faBAm0nUEqpencfrSthHPK1xpilQP86tj/s9/gB4IF6xtAw3NG0CLMJYE9pJSlxul6lUiq01bdEkCkiT4hIFxHpLCJPAgsCGVjAuCOJDrMTzmk7gVJK1T8R3AZUAh8AHwJlwC2BCiqgwqOJEpsAtOeQUkrVv9dQCXB/gGNpHO4oorAJIL9E2wiUUqq+vYamVfcAcp63EpFvAhdWAIVHEWFsItBpJpRSqv5VQ8lOTyEAjDF7aI5rFgO4o3F5y4kOd7FH2wiUUqreicAnIjVTSohIBsGeN+hIuSOhqoLEFhHka4lAKaXq3X30QezsoT84z08CJgQmpAALj4biHBJiwrVEoJRS1L+x+GsRGYS9+S8GJmF7DjU/7iioKiexRYSuUqaUUtR/YZrrgTuwk8ctBoYBc9h/6crmITwaPGW0Soxga35psKNRSqmgq28bwR3AYGCLMWYUdsTwUcwHHUROiaBVTLgOKFNKKeqfCMqNMeUAIhJpjFkNdA9cWAFUnQhaROjEc0opRf0bi7OccQSfAdNEZA+/vFRl0xQeBR7bRgB24jmdb0gpFcrq21h8gfPwTyIyHYgHvg5YVIHkjgZvBQnR9qPrxHNKqVB32EtVGmN+MMZMNsY0zwp2Z3GaNnZpAt6as4XKKq0eUkqFriNds7j5cparHJwazRVD03lr7hYuen42u4srghyYUkoFR8gmgjBfBX+9oA8vjB/Iml1FPDJ5Rc0h5R5vsKJTSqlGF3qJINypE/LY8XBn9W7L7ad25YulO/hu1S7en7+Vvn+ayttztwQxSKWUajz17TV07HBKBFSV12yacFIXPl+yg9veW0RppZeYCBePf7WaM3q1oU3LqCAFqpRSjSP0SgTRzmzaWZk1myLcYfztoj54fYarh3fk89tGUun18diUlUEKUimlGk/olQgyfgXpw+GbB6HzydAqA4AB6a1Y+qfRRLpdANw2qiv/nraWPqkbuH5kJ9yu0MuZSqnQEHp3tzAXXPgSiMDECTVtBUBNEgCYcHJnTuvRmse/Ws05T89iY25xMKJVSqmAC71EAJCQDmOfhG3z4Km+MPsZqCzZ75BIt4tXrh7ES1cOJLugjH9PWxukYJVSKrBCMxEA9LkYfvs1tOkFUx+0CWHWU1C1bzyBiDD6+LZcMrgDU1fsJLdIxxoopY49oZsIADoOh6smwbVTod0J8O0j8OZ5UJK332G/GZKOx2v4aMG2IAWqlFKBE9qJoFr6ULhyIlz8GmxfCK+cBvmbanZ3bR3L0E6JvD9/Gz5f81yhUymlDkYTgb/eF8HVn0N5gS0Z7N03werlQ9PZml/Kj+t3BzFApZRqeJoIaksfCuM/gdJ8ePN8+y92BHKblpH8/avVuoaBUuqYErBEICJRIjJfRJaIyAoRebSOYyJF5AMRWS8i80QkI1DxHJbUgXD5B5C/AWY9AdheRI+OO56VO/by8o8bgxygUko1nECWCCqAU40xJwD9gLNEZFitY64D9hhjugJPAn8PYDyHJ2MEdB8Di9+DKjvj9lm923HW8W156tt1Oq5AKXXMCFgiMFb13TLc+and0noe8Ibz+GPgNBGRQMV02AZcA6W7Yc2XNZseO+94It1h/Fmnn1BKHSMC2kYgIi4RWQzkANOMMfNqHZIKbAMwxlQBhUBSHeeZICKZIpKZm5sbyJD312UUxHeAhW/UbGrdMopbRnVl+ppc5m7MO8SLlVKqeQhoIjDGeI0x/YA0YIiI9K51SF3f/g/on2mMeckYM8gYMyglJSUQodYtzAX9x8OG6bBn37TU15yYQduWUTz+1WqM0e6kSqnmrVF6DRljCoAZwFm1dmUBHQBExI1dCzm/MWKqt35X2H+XvFezKSrcxV1nHMfibQV8uWxnkAJTSqmGEcheQykikuA8jgZOB1bXOmwycLXz+GLge9PUvmIndICOI2D5RPAL7cIBqfRoG8cjk5fr1BNKqWYtkCWCdsB0EVkK/IxtI5giIo+JyDjnmFeBJBFZD9wF3B/AeI7c8efD7jWQs6pmk9sVxn8u609ReRV3f7RERxwrpZqtQPYaWmqM6W+M6WuM6W2MeczZ/rAxZrLzuNwY82tjTFdjzBBjTNPsoN/rPJAwWDFxv83d28bxx3N68sPaXN7SpS2VUs2Ujiyuj9jWdkGbFZ/uVz0EMH5YR4Z0SuTlHzdqqUAp1SxpIqiv4y+AvPWwa/l+m0WE8cM6krWnjNkbtDupUqr50URQXz3HgbhgxWcH7Brdqw0JMeG8//PWQ57C6zOs2VnE+/O38uWyHYGKVCmlDkvorVl8pFokQccTYc1XcNpD++2KCndxfr9U3p23lT0llbSMDie7oIwteaVszithS14JK3fsZcm2Qoorqmpe99o1gzi1R5vG/iRKKbUfTQSH47iz7GpmBVvtcpd+Lh3cgf/N3syVr81ja14pe8v33fAj3WF0axPLBf1T6Z+eQO/UeO58fzG//2AJU24bSYfEGACMMezaW0FJZRWxkW7atIwCYPb63bz202b+eXFfWrWIaLzPq5QKCZoIDkf3MTYRrPkahk7Yb1fPdi05+bgU1u4q4qzebemf3oqMpBZkJMfQJi6KsLD9B1E/d8UAzv3vLK793888eE5P2idE88fPljN/kx1PFyZwz5k9GN4lievfzKS00svLP27k3rN6NNrHVUqFBmlq47d+yaBBg0xmZmbwAvjvIDvI7MpPj/pUM9fmcv8nS8kuLAcgISacG0/qQvuEKKau2MUXy3bgChPaJ0TROTmWzM35/HjfqST6lQrySyqJCg8jJkJzulLq4ERkgTFmUF379O5xuLqfBXNfgPK9ENXyqE510nEpzLhnFJ8uymJbfhm/HZFBUmwkAONOaM/g2a2YtCSbJy/ph8frY/RTM3nFKRV4fYZ/frOGF37YAECrmHBuPqUr143sVFP6KCit5LWfNnNh/1Qyklsc3edWSh2ztERwuDb/BP87G379hh1x3IhufXch36/O4Zw+7diaX8q8TflcNCCNrq1jmbsxjx/W5jKkUyLnntCe8DDh39PWkltUwek9W/PK1YMPee7q3wMRIa+4goVbC+iYFMNxbeIa46MppQJMSwQNqcNQiEmGBa83eiK498we7C6uYOa6XEorvfy/C/pw+VDbaH3TyZ35eEEWf/liFfM32bEOPdrG8atuyUxcuJ21u4oOelPPKSrn+jcyWZG9lyh3GCWVXgDax0cx455RRLi1l7FSxzItERyJ2c/YRuOrJkHnU4IbSy0+nyGnqIKconJ6tG1JcUUVJz7+HWP7tuefF/dl8bYCkmMja3oqZReUccUr89i1t5wrh3XE4zWkxEUS4Sy+84+L+3LJoA5B/lRKqaOlJYKGNvh6mPs8fPso3HAyNKFF1cLChLbxUbSNt11PE90RXDY4nXfmbWGbU50kAid1S8EAP2/Kxx0mvHXdEAZ2TKw5jzGGiQuzeGHGBi4akIYrrOl8RqVUw9Iy/5EIj4JRD0D2Qvj8DvjpadjVdJeuvP5XnQBYl1PMw2N7cdup3VifU0x2QRmXDErj49+duF8SANtWcMuormzcXcKni7ZT7vEe8j18PkNesU7HrVRzpFVDR8rnhXd+DRtngPFCmBtG3gUn3QPupjfoa0NuMSlxkbSMCq/3a7w+w+gnf2BDbgkAMREu2sVH0T4hmnbxUYzomsx5/VIB+ONny/hkwXa+ufMk0pNiAvIZlFJH7lBVQ5oIjpYxUJwD3z5iVzGLSrDtBrFtoDAL4lNh2O8gsXOwIz0iOwvL+W71LgrLPOwuqmRHYRnZheVk5ZeSV1LJy1cNol18FOc+Mwtj4Mzj2/DilXX+rimlgkgTQWPZMB2WfQwbvoeKIpsE8jeCrwranWDXNIhoYaeniIiFop12X1JXO0gtzA0tUqDbmeByg88HlUUQFR/sT3aAiiovFz43m+0FZaQnxrB9TxkXD0rjxR828s71QxnRNTnYISql/GgiCKa9O2DeC7BzKSBQsRf2bAFPGcS1tckhfyP4PPte06oTHHcmrJoCe7fDyDvhlP9rclVOG3OLGfvfWZRWevn7RX04r18qZzz5A9HhLj6/bSSRblewQ1RKOTQRNHVeD5TmgfHB9oUw8x+wcxl0ORWiE2HZh5DYBRI7QXg0pPSENr1sNVRUS0jqdtSjnI/UtJW7mLk2l0fHHU9YmPD96l1c+79MLhvcgccv6ktuUQVvzdnMjLW5bN5dwu/POI5rTsxg9c4ivl6+kxtO6kxspHZeUyrQNBE0N8ZAVbm96QOs/gLmPAeeUlvllL/BJg1/8em2Ogmgxzkw7BZo2W7/Yzzlth0jMs6WOCIDM2r4X9+s4Znp67lkUBrfrNhFUbmHAemtCHeFMWdjHl1SWtQ0QN8/pgc3ndwlIHEopfbRRHCsqSy1q6VVFEF5AeSshNw1NoFUFMH6aXYRndY9IbmbLTHEpsCcZ201FIArEgZdC6c/si/hNBCvz3Dt/37mh7W5DM5oxeMX9aVLSizGGN6cs4VXZm3kgn6pzN6Qx66icmbcPUrHKSgVYJoIQk3+JljwP7us5u51dv0EjG2UHvMPe+Nf/A4sehuSu0PPsbbhut0JNjm46t/F9GBKKqpYsGUPI7smHzAFd7Uvlu7glkMlDVMAABt3SURBVHcX8vo1gxnVo/VRv6dS6uA0EYQ6T5ntyprQcf8G5/XfweTbbBKISYKSHEg+Drqfbdss4jtA//G291MgwvL6OPHx7+mTGs+rVw8it6iC1s5iPEqphqWJQB2czxkxHOaCtd/ANw/Cnk02MRTn2F5NPc6xPZdSB+57XcFWqCyx1U9H4Ympa/jv9PUktYhgd3FlzUR6e8s93PXBYi4bnM7pvXQ5T6WOliYCVX/Vvw8isGczZL5uZ1otL4TWvezAuJJc2DbPHtdjLJz+J9sWcQRy9pZz8zsL6ZAYw7qcIrbvKWPG3aP459TVvD13K1HhYXx443D6piU0xKdTKmRpIlBHp6LItjlsmmlLAq4IOwW3z2vnWaoqgxF32Ok1jqLheUV2Ief+dxYndklm1vrdXDwwjTkb8vB4fUy6dQTt4hu2UVupUKKJQAVOcS5Me8h2S03oCCffB30v3deV9TD936fLeHfeVlITopn6+5PI2lPGRc/PpmNSDB/dNFyX5FTqCGkiUIG38QebEHYsgZZp0Plk26bQItkmiPb96nWavOIK7vxgMb87uQsnOtNUTF+dw3Vv/MzpPdvwwviBB+2FpJQ6uKAkAhHpALwJtAV8wEvGmP/UOuYUYBKwydk00Rjz2KHOq4mgCTMG1nxlu6VunQNl+fv2nfoQnHT3EZ/69Z828ejnK+mS0oKRXZMZ3iWZYZ0T2Zpfyrcrd3FChwRO66mNykodTLAWpqkC/mCMWSgiccACEZlmjKk9cf+PxpixAYxDNRYR6HG2/fH5oCgbyvbAT/+B7/9sR0uPetAe5ymzvZS6n12vOZSuOTGDmAgXXyzbyYeZWbwxZ8sBx/zxnJ5c/6vmOcurUsEUsERgjNkB7HAeF4nIKiAVaLoruKiGExYG8Wn254IXbSPyzH/CrhW2ZPD5HXY+peG3wpl//cXTiQiXDk7n0sHpVFb5WJJVwPxN+aTERnJK9xT+9PkK/vLFKvaWV3HXGcc1wgdU6tjRKC1vIpIB9Afm1bF7uIgsAbKBu40xKxojJtWIwlxw7tN2srxvH4E1X9qptbueAXOegW5nHNbazxHuMAZnJDI4Y9+qav/9zQBiI5fy9HfrSE+M4eKBaQ3/OZQ6RgV8qUoRiQU+Ae40xuyttXsh0NEYcwLwX+Czg5xjgohkikhmbm5uYANWgSECw2+G67+Dgb+FCTPgkjftSOZPfwcleUd1eleY8NcL+jCiaxIPTFzK3I0Hnm9PSSUrs/fS3DpIKBVoAe01JCLhwBTgG2PME/U4fjMwyBiz+2DHaGPxMSZ7Mbw6Gtr1hasm2YV7jkJhqYcLnv+JrPwy/ji2J1cO64iI7WV06YtzmLcpn4ykGK77VWeuHNaxIT6BUs3CoRqLA1YiEPvX9yqw6mBJQETaOschIkOceI7uq6FqXtr3g4tfhe0L4MOroLx2ofHwxMeE89GNwxnRNYmHJ63gno+XYoxhzoY85m3K58L+qbRqEcFDny1n9oaDft9QKqQEsvvoSOBHYBm2+yjA/wHpAMaYF0TkVuB32B5GZcBdxpjZhzqvlgiOUQvegM9vt9Njdz0dTv2jXXznCPl8hn9PW8Oz0zfw6Ljj+Xr5TtbnFvPjvaMwBs76z0wE+PrOk4gK15XU1LFPB5Sp5mH7Arvm89IP7JoL5/zLLp6zcQakDjrsEcs+n+GGNzOZsTYXr8/w0NheXDeyEwA/rd/NFa/M47LBHRjXrz3dWseREhcZoA+mVPBpIlDNS9Eu+Pi3sOUn+9wVCd4Ku5bzkBug13m2W2o9FJRWcs7Ts6io8vHjvaOIjtj37f+Bict4b/5WAFpEuJh060i6to5t8I+jVFOgiUA1P94qWDER4tpC+nBYNxVm/guyF9r9Y/4BQ2+s16l2F1dQ7vGS1ipmv+3GGDbklpBdUMYd7y+ibXw0n958Yk1VUbnHy8ode+nfIaGmwVmp5koTgTp25G2wg9F2LYffrzjqXkbVvlu1i+veyOTyoek8PLYXe0orueHNTJZv38uto7ryh9HHaTJQzVqwpphQquEldbHzFr02Gha+BcNuapDTntazDdeO6MRrP21i8uJswl1CZZWP03q05pnp6/F4fdw/pkfAk8GekkrcLiEu6uiXC1WqvjQRqOYnfaitLprzDAy+DsLcdsDaUXpobE9O69mazxZtZ0dhOQ+f24uuKbE8PHk5L87cSNaeMv5xcV9yiipYmlXA6F5tiY5wsSWvhPs/Wcam3SUUlXu4a3T3mkbp2jbvLmFzXgklFV5GdksmPnrfDb+4ooqx/51FdISLKbeNrLM3k89nS/A6A6tqSJoIVPM04k5471J4eRTkbYTjzoSLXzuqhCAijOiazAhn+utqfz6vN+mJMTz+1Wp+2rCbglIPAP06JPCX83tz41sLKK6oYnSvNmQXlvHnKSuprPJx1fCOlFRWgYGSSi/PTl/PJwuzahaB65+ewCc3nVhzU39i6lq2F5QB8NS367h/TA8AKqq8vPTDRr5cvpONucW0i4/ijWuH0DHJVot5fQaXJgZ1FLSNQDVPPh+8+2u7rnLL9rD2azjjMbtSWrUtc+yay+lDG+QtZ63bzes/bWJwp0SSYyN58NNlVFT5iIt08+4Nw+iTFk+V18ddHy5h8pLsA14f7hKuHdGJ0ce3ZfG2Av48ZSV/u7APvxmSzrKsQs57dhaXD02nymv4MHMb/7z4BLw+w0s/bmR9TjHDOifSq108ny7KItLt4q4zjuOdeVvILizn3euH0q1NHO/M28KkRdn85zf9alZ0K/d4+WbFTuZsyCM9KYYT0hIY3jlJSxUhRhuL1bHNGPjoalj1OZz/gp0Ge+4LMP2vENUS7lgC0a0a/G0XbNnDP79Zzd2juzPIbwI8r8/eyIvKPURHuBHAACd1S675Fm+M4dKX5rJmZxF3nNaNl2ZuxGsM3/3hZAQ488mZZBeWA5CaEM1fzu/NqB6tAVi9cy9XvDyPvJJK0hNjKPN4AbigfyovzdwIwHFtYnn3hmF8siCLZ6evZ295FXGRbooqqgDo2a4ld48+jl91SyHCHVYT09G0gVTfS0QEYwyPTF5BucfL3y/q22gN7XtKKmkZHV6vEpIxho8ys2jVIoLTe7Y+5jsDaCJQx76KIjtnUc5KqL71djsT1n0DI++C0x8JdoQHWLuriLP/8yNVPkO/Dgk8cm4v+qfbhJW1p5QteaW0T4gmrVU04a79Z4PZmlfKyh2FnN6zDZvzSrj0xbnklVRyXr/2XDQgjeve+BkR2+B9ao/WXD+yE8M6J7G33MP0NTk8OW0dW/NLiXCF0Sm5BYVlHnKLK+iaEsvwLkncPKoLreOiKK2s4s73F9M7NZ4bT+5MpHtfu0Xm5nxiItz0at+S9TlF3P7eYpJiI3juigFMWbqDByYuA+DFKwdy5vFtG+y65RSV8/yMDdwyqivJsXYQ4Lb8Uv41dQ2TFmfTKiacUd1bc8ngDgztlFjnDb6o3MM9Hy3l6xU7AexkhWN60js1fr/j3pqzmaw9Zdx3Vo9mX4LSRKBCQ1WFXRlt4wxI6gb9LodPrrfTXt++GHxV4AqH2NbBjrTGzLW5uF3C8M5JR/WNdENuMbM35HH5kHRcYcJXy3bw4syN3DKqK2f0OnDltsoqH9+v3sXibYWs21VEqxYRJMVGsDJ7L/M25tM7tSUf3Dicv0xZWbMIUKfkFlz/q04MyUjk+RkbmLhoOwDDOieyNKuQCHcYReVVHNcmjk27ixnYsRW7iyoprqji27tOZs2uIr5fncPK7EJKK730TUsgqUUEy7YXsjW/FID2CVH85fw+JLawixWVe7x8lLmNH9ft5pFxx9M+Poob3szk21U5XDgglScu6cfSrAIueXEOxsAVQztSUFrJd6tzKCzz0Cc1ngfO7sGJXfa1+5R7vJz/7E+syynmgTE9CHeF8cS0tRSWeRjaKZF7zrQlvG35pZz27x+o9Pq44VedePCcfVOefJS5jWXbC/nTuccTFiZMWrydl3/cyM2ndGVM77YH/b+s8vpYtr2Qfs7YlHKPl6e/W0f3tnGc2qN1TW+xyiofT0xbS1G5h/YJ0Vw4ILWmqu9IaSJQoStvAzw7xFYNleSCO9o2Kvc4O9iRNVlTlmZz67uLOOm4FGauzeW3IzIY1b01j36+gg25JYCd9vuWUV2JiXDx6qxNdEpqwdO/6c+K7EJufmchsZFuvrrjV2zaXcKlL82lbcsodu4tJ0ygc0osMREuVu3Yi8draBcfRZeUWERg/qZ8MpJa8NJVA/lmxU5e/nETuUUVuMKEjokxjB/WkcemrKRb61jW5RTz9nVD+eNntq3m49+dSGrCvnaRiQu388IPG9iaX8rVwzty35gexES4efyr1bzwwwZeuWoQpztJsrDUwweZW3n9p80Ulnn45Hcn8vLMjXyxbAdn92nHp4u2c+uorlw7shOfLtrOn6fY9bX+fN7xnNW7Haf9ewblHh+VXh990+I5sUsyfdPi6ZMaT1qraESEskovt767kO9W5/DM5f0Z27c978/fyv1OySnCHcZfzuvNJYM78KfJK/jf7M0kxIRTUOqhXXwUb18/lC4pRz7yXROBCm0zHocN39ueRaumwI7FMPovMPQmu2hOY9o2HxK7QIukxn3fw/TIpOW8MWcLnVNa8OXtvyIq3IUxhvU5xczZmEe/Dgn0TUsAbJdWEWq+Ba/PKcIVZqucAB76bDlzN+YxflhHLhyQWvOtt9zjpaSiiqTYfXM8/bR+N9e/kVnT7jGiaxK3jupGuEsY/+o8yj0++qcn8Ma1Qzj93z+QX1KJ1xjev2EYQzsfeE3LKr3845vVvP7T5prpxx+ZtJxfD+zA3y/ue8DxOXvLOfeZWRgDucUVTDipM/ee2YM73l/ElKU7cIcJVT7DmN5tKa6oYuGWPQzulMjs9Xl8cftIft68h/fmb2X1TpvkABJbRNCvQwK7iytYtr2QllHhdG0dy8c3DefcZ2bhqTL89YLePPXtOmat382F/VOZuGg7143sxENje7Eyey9XvWbX9Hrz2qH0at/yiP5PNREoVa2yBD65AdZ8Ae1OgFF/hPb9oUXygV1Pt/0MqybbrqoNceP++VX44i5o0xuum9pgo6IDoaLKVlmMOyGV7m3jGvW9F2zJ54Oft3HZkHQGpO9r5P9hbS5PTFvLv3/dl66t4/h0URa//2AJt53alT+M7n7Ic87dmMc9Hy9hW34ZbVpGMvX3J+83hsPf0qwCfv3CHCLdYfx476nEx4RjjGHVjiImLdmOMXDvmd3ZUVjO6CdnUubxcvtp3fZbIrWiysuanUUszSpkybYCFm8rILe4gv93QR92Fpbz2JSV/Pn83jz02XL+fN7xXDk8g4oqL7e+u4hpK3fRPz2BDyYMr2nI35BbzPhX5nF+/1TuO6vHEV1XTQRK+TMGln8CUx+CIqebpzvKdjWNSoCeY8EVAXOfA+ODlqlw/nMQkwyVxZDQ0c6B5PVAxV5b7RTmsvMjleTY49wR+96raAcs+wimPQypA2H7Qjj+Ahj7JGyZDZGxkDYEwqPqjnfXSvj6fijaCUMnQL8r7BrQ9eX12M+75ito3RPSh9nZXCNjYfd62DzTJsN2/RpkYN5+inbBojehOBcyRtrPH9vattU0gDU7i+jWOvbgDblZC2xpcMdiKrqM5rk9wzi5R+v9EkxdFm3dg8/AwI4HOW7PFijcxsT8DKYs3cFzVwywAwD3bIHtmdDplAO+PFT3ytpb7mH4//uO8iofke4w5v3faTWlJI/Xx4eZ2zijVxtax+3/+7C7uILEmIgjbrTWRKBUXSpLbONy7tp9CWHPFjvBXVU59L/STn096RYo2LL/a91R9hgAcUGLFCjdbRukw9x2plTjhdJ8KC+wx3U7Ey59C+Y8C989Sk3vpurzxbaGqkp7Xm+lvdnHtYOcVbYbbEJHW60V5ob4Dnbd5xJncZ20gbbKae92+xkKtkJpnpOwKm0yim1jx11gbMzxqfa4avEd7E9EC4hrYxNgZEtwR9qYKort+docbxcQyl1lY0gdBHuzYe1XsHutXXbUW2lv9rvXgc9j22aqyva9V2Jne30TO0Hma3ZQ4IAr4fgLbaxFO+3nF7GfZ+92m4SNgZ7nQpfT7JTkFUX22D2b7f/bljnQ+WS7HOpPT8Kit+11jm0DxTuhzyV2vYvc1bYUmD7MrqUd4TchYXEOrJsGnlJbakzuBpFOb6KKQsh8HX74u/M7Mh7O+DPkb4Il78GC/9nPG+aGzqOgz8V2be7SPPv+7iiIbMlfZ5fw8tyd/GZIOn+7sM++30dvpf0dyFkBO5bYBFpeaH+Hyguh94Uw6Noj+nXXRKDU4agosjeDpC72eVkBrP7C3iAjYmHPJnvjiYq3N8qSHPvNN7a1Hdy2Nxvy1ttSRXSCXZe53QmQNtiWHIyBH/5hp9bucqq9wW6aCWX59jXuSPuvp9SeK6EjnHwfxCTC5ln2G+6eTTbOFq3tzSNrPhRmQcs0SEiHVh3t8UW77Hn6X2nbSCr2QtbPsHWuTTAdR9gYsn6G9dNs4qrYa19XvIuaRFUf4TG22qtFsv0MXg+0yrA35YR0u95EzgqbvDbPgs0/2te1TLM3243TD3HuFnZtiqoye0OMSrDn95TsO8Ydba9z1nxbkpMwGPl7OPE2+//0479hxt+cfS6bqKtFxUNEnP28e7Pr+Nxiz1f9mh5j7e/HT0/vOzbMba9zn4ttUlo+EQq3HfQj5YUlERcXR4QrzN7wK4vq/txR8fb3KCoeTrgMBl5z8Ot0CJoIlAoFPh+ENeDqs94qe6P1lNtqq4hYe2PLWWVvyik9bfLKyrRJp9PJB6/eqkvuWtibBRkn2W/3uWtg2zyb+Fqm2m/cviqbRKJb2dKB12NHka/92n5Lj2tjS01x7Wy1U0SM7Sm27GPoehqk1brv5W2w50zsbBPStrl2W9EO+znBJtHuY+x7Zi+2pabyAvu66ERo28eWOsBW7a3/zq653WGYjaeaz2eT0ta5ToxOdWJ5gS1B7NlsP6Px2S8RcW2dKkqXTYzt+zXoQEhNBEopFeKCsni9Ukqp5kETgVJKhThNBEopFeI0ESilVIjTRKCUUiFOE4FSSoU4TQRKKRXiNBEopVSIa3YDykQkF9jyiwfWLRnY3YDhBILG2DA0xoahMR69phJfR2NMSl07ml0iOBoiknmwkXVNhcbYMDTGhqExHr2mHh9o1ZBSSoU8TQRKKRXiQi0RvBTsAOpBY2wYGmPD0BiPXlOPL7TaCJRSSh0o1EoESimlatFEoJRSIS5kEoGInCUia0RkvYjcH+x4AESkg4hMF5FVIrJCRO5wtieKyDQRWef823DLFB1ZnC4RWSQiU5znnURknhPfByISEeT4EkTkYxFZ7VzL4U3wGv7e+T9eLiLviUhUsK+jiLwmIjkistxvW53XTaynnb+fpSIyIIgx/tP5v14qIp+KSILfvgecGNeIyJnBitFv390iYkQk2XkelOv4S0IiEYiIC3gWGAP0An4jIr2CGxUAVcAfjDE9gWHALU5c9wPfGWO6Ad85z4PpDmCV3/O/A0868e0BrgtKVPv8B/jaGNMDOAEba5O5hiKSCtwODDLG9AZcwGUE/zr+Dzir1raDXbcxQDfnZwLwfBBjnAb0Nsb0BdYCDwA4fzuXAcc7r3nO+dsPRoyISAfgDGCr3+ZgXcdDColEAAwB1htjNhpjKoH3gfOCHBPGmB3GmIXO4yLsDSwVG9sbzmFvAOcHJ0IQkTTgHOAV57kApwIfO4cEO76WwEnAqwDGmEpjTAFN6Bo63EC0iLiBGGAHQb6OxpiZQH6tzQe7bucBbxprLpAgIu2CEaMxZqoxpsp5OhdI84vxfWNMhTFmE7Ae+7ff6DE6ngTupWZ1+5oYG/06/pJQSQSpwDa/51nOtiZDRDKA/sA8oI0xZgfYZAG0Dl5kPIX9ZfY5z5OAAr8/xGBfy85ALvC6U331ioi0oAldQ2PMduBf2G+GO4BCYAFN6zpWO9h1a6p/Q9cCXzmPm0yMIjIO2G6MWVJrV5OJ0V+oJAKpY1uT6TcrIrHAJ8Cdxpi9wY6nmoiMBXKMMQv8N9dxaDCvpRsYADxvjOkPlBD8qrT9OPXs5wGdgPZAC2wVQW1N5neyDk3t/x0ReRBbvfpO9aY6Dmv0GEUkBngQeLiu3XVsC/r/e6gkgiygg9/zNCA7SLHsR0TCsUngHWPMRGfzruriovNvTpDCGwGME5HN2Oq0U7ElhASnigOCfy2zgCxjzDzn+cfYxNBUriHA6cAmY0yuMcYDTAROpGldx2oHu25N6m9IRK4GxgJXmH2DoZpKjF2wSX+J87eTBiwUkbY0nRj3EyqJ4Gegm9NLIwLboDQ5yDFV17e/Cqwyxjzht2sycLXz+GpgUmPHBmCMecAYk2aMycBes++NMVcA04GLgx0fgDFmJ7BNRLo7m04DVtJErqFjKzBMRGKc//PqGJvMdfRzsOs2GbjK6fUyDCisrkJqbCJyFnAfMM4YU+q3azJwmYhEikgnbIPs/MaOzxizzBjT2hiT4fztZAEDnN/VJnMd92OMCYkf4GxsD4MNwIPBjseJaSS2WLgUWOz8nI2th/8OWOf8m9gEYj0FmOI87oz9A1sPfAREBjm2fkCmcx0/A1o1tWsIPAqsBpYDbwGRwb6OwHvYNgsP9mZ13cGuG7ZK41nn72cZtgdUsGJcj61nr/6becHv+AedGNcAY4IVY639m4HkYF7HX/rRKSaUUirEhUrVkFJKqYPQRKCUUiFOE4FSSoU4TQRKKRXiNBEopVSI00SgVCMSkVPEmcVVqaZCE4FSSoU4TQRK1UFExovIfBFZLCIvil2ToVhE/i0iC0XkOxFJcY7tJyJz/ebHr57Dv6uIfCsiS5zXdHFOHyv71k94xxltrFTQaCJQqhYR6QlcCowwxvQDvMAV2MniFhpjBgA/AI84L3kTuM/Y+fGX+W1/B3jWGHMCdm6h6qkE+gN3YtfG6Iyd00mpoHH/8iFKhZzTgIHAz86X9Wjs5Gs+4APnmLeBiSISDyQYY35wtr8BfCQicUCqMeZTAGNMOYBzvvnGmCzn+WIgA5gV+I+lVN00ESh1IAHeMMY8sN9GkYdqHXeo+VkOVd1T4ffYi/4dqiDTqiGlDvQdcLGItIaadXw7Yv9eqmcLvRyYZYwpBPaIyK+c7VcCPxi7rkSWiJzvnCPSmadeqSZHv4koVYsxZqWI/BGYKiJh2Fklb8EuenO8iCzArjJ2qfOSq4EXnBv9RuC3zvYrgRdF5DHnHL9uxI+hVL3p7KNK1ZOIFBtjYoMdh1INTauGlFIqxGmJQCmlQpyWCJRSKsRpIlBKqRCniUAppUKcJgKllApxmgiUUirE/X+zwiwsvYQMCQAAAABJRU5ErkJggg==\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "import matplotlib.pyplot as plt\n",
    "# list all data in history\n",
    "print(build.history.keys())\n",
    "# summarize history for accuracy\n",
    "plt.plot(build.history['mae'])\n",
    "plt.plot(build.history['val_mae'])\n",
    "plt.title('model MAE')\n",
    "plt.ylabel('accuracy')\n",
    "plt.xlabel('epoch')\n",
    "plt.legend(['train', 'test'], loc='upper left')\n",
    "plt.show()\n",
    "# summarize history for loss\n",
    "plt.plot(build.history['loss'])\n",
    "plt.plot(build.history['val_loss'])\n",
    "plt.title('model loss')\n",
    "plt.ylabel('loss')\n",
    "plt.xlabel('epoch')\n",
    "plt.legend(['train', 'test'], loc='upper left')\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Saved model to disk\n"
     ]
    }
   ],
   "source": [
    "model.save(\"model-no-shuflle.h5\")\n",
    "print(\"Saved model to disk\")"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## save test result"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "100%|██████████| 2624/2624 [00:52<00:00, 50.10it/s]\n"
     ]
    }
   ],
   "source": [
    "submission = pd.read_csv(\"../data/sample_submission.csv\", index_col='seg_id', dtype={\"time_to_failure\": np.float32})\n",
    "X_sub = pd.DataFrame(columns=X_data.columns, dtype=np.float32)\n",
    "\n",
    "for i, seg_id in enumerate(tqdm(submission.index)):\n",
    "    seg = pd.read_csv('../data/test/' + str(seg_id) + '.csv')\n",
    "    X_seg = create_features(seg, X_sub, i)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 25,
   "metadata": {},
   "outputs": [],
   "source": [
    "X_seg_array = np.reshape(X_seg.values, (X_seg.shape[0], X_seg.shape[1], 1))\n",
    "pred_final = model.predict(X_seg_array)\n",
    "submission['time_to_failure'] = pred_final\n",
    "\n",
    "submission.to_csv('submission-LSTM.csv')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## plot the test acoustic data"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 27,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "            time_to_failure\n",
      "seg_id                     \n",
      "seg_004314         0.555704\n",
      "seg_20cc25         0.983167\n",
      "seg_26a2a0         0.348386\n",
      "seg_272a47         0.939068\n",
      "seg_2f86cd         0.408327\n",
      "seg_376908         0.847941\n",
      "seg_39ad50         0.535010\n",
      "seg_3e87b4         0.597010\n",
      "seg_5311d1         0.924789\n",
      "seg_6f17de         0.997774\n",
      "seg_724df9         0.353763\n",
      "seg_7848f8         0.369655\n",
      "seg_7a9f2b         0.357166\n",
      "seg_7fa6ec         0.348553\n",
      "seg_8be76c         0.767175\n",
      "seg_90b174         0.773433\n",
      "seg_919a6a         0.972501\n",
      "seg_957ece         0.712432\n",
      "seg_a1a511         0.975053\n",
      "seg_a9089b         0.990989\n",
      "seg_aa98cc         0.357945\n",
      "seg_b35174         0.343291\n",
      "seg_b686e5         0.570120\n",
      "seg_bfdd14         0.597073\n",
      "seg_c243a6         0.755406\n",
      "seg_c5dee4         0.682533\n",
      "seg_c80857         0.358782\n",
      "seg_c94941         0.830885\n",
      "seg_c9831a         0.825778\n",
      "seg_e3d751         0.331345\n",
      "seg_f43ab6         0.854497\n",
      "seg_fdd50e         0.772728\n",
      "<class 'pandas.core.frame.DataFrame'>\n",
      "Index(['time_to_failure'], dtype='object')\n",
      "seg_004314\n",
      "seg_20cc25\n",
      "seg_26a2a0\n",
      "seg_272a47\n",
      "seg_2f86cd\n",
      "seg_376908\n",
      "seg_39ad50\n",
      "seg_3e87b4\n",
      "seg_5311d1\n",
      "seg_6f17de\n",
      "seg_724df9\n",
      "seg_7848f8\n",
      "seg_7a9f2b\n",
      "seg_7fa6ec\n",
      "seg_8be76c\n",
      "seg_90b174\n",
      "seg_919a6a\n",
      "seg_957ece\n",
      "seg_a1a511\n",
      "seg_a9089b\n",
      "seg_aa98cc\n",
      "seg_b35174\n",
      "seg_b686e5\n",
      "seg_bfdd14\n",
      "seg_c243a6\n",
      "seg_c5dee4\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/Users/lynette/opt/anaconda3/lib/python3.7/site-packages/ipykernel_launcher.py:10: RuntimeWarning: More than 20 figures have been opened. Figures created through the pyplot interface (`matplotlib.pyplot.figure`) are retained until explicitly closed and may consume too much memory. (To control this warning, see the rcParam `figure.max_open_warning`).\n",
      "  # Remove the CWD from sys.path while we load stuff.\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "seg_c80857\n",
      "seg_c94941\n",
      "seg_c9831a\n",
      "seg_e3d751\n",
      "seg_f43ab6\n",
      "seg_fdd50e\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 576x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 576x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 576x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 576x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 576x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 576x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 576x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 576x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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33XX1wjUdOnQA4M033+Sxxx4DYM8992T+/PksWrQoo79bbbUV5557LhdccAEHHHAAu+yyS1Y5XnvtNQ4//PDVFYJUuEG89dZbq2U59thjueCCCwC38M7FF1/M6NGjadasGbNmzWLu3LmNns/kbv31188qYy4SHeMXke4iMkpEJorIeBE5yzPvICKviMiX3rm9Zy4icrOITBaRT0VkmyTlNwzDMOLn9ddf59VXX+Wdd97hk08+Yeutt+aXv/xlYMtXA35lEBHWWGMNVq1atdostejNpptuytixY9lqq6246KKL+Nvf/pZVFlWN1OIOcjts2DDq6uoYO3YsH3/8Meutt17gIjxh3UUl6cl9K4BzVHVzYEfgDBHZArgQGKmqvYCR3j1Af6CXdwwCbi+9yIZhGEYpWbRoEe3bt6dVq1Z8/vnnvPvuuyxbtow33niDqVOnAqzuct91110ZNmwY4CoMnTp1om3btvTo0YMPP/wQgA8//HD1c7Nnz6ZVq1Ycc8wxnHvuuavdtGnThsWLFzeSZa+99mLEiBHMnz+/QbhB7LTTTgwfPhxgtUyp+HTp0oUWLVowatQopk+fHhhmJneFkmhXv6rOAeZ414tFZCKwATAA2N1z9gDwOnCBZ/6guirduyLSTkS6ev4YhmEYTZB+/fpxxx130KdPH37xi1+w44470rlzZ4YOHcqhhx7KqlWr6NKlC6+88gqXX345v//97+nTpw+tWrXigQceAOCwww7jwQcfpG/fvmy33XZsuummAHz22Wecd955NGvWjBYtWnD77a49OWjQIPr370/Xrl0ZNWrUall69+7N4MGD2W233WjevDlbb701999/f6DcN910EwMHDuSmm27isMMOW21+9NFHc+CBB1JTU0Pfvn3ZbLPNAOjYsSM77bQTW265Jf379+eCCy4IdFcoEtQtkgQi0gMYDWwJzFDVdj67BaraXkSeBa5W1Tc985HABao6JpO/NTU1OmZMRmvDMIwmR6p3uRjF+8SJE9l8880L98iIjaA8EpGxqloT5D7prn4ARKQ18Bhwtqp+l81pgFmjV1tEBonIGBEZU2crWRiGYRjGahJX/CLSAqf0h6nq457xXBHp6tl3Bb7xzGuB7r7HuwGz0/1U1aGqWqOqNZ07d45PeMMwDKPqGTJkCH379m1wDBkyJGmxMpLoGL+46Y73ABNV9Xqf1dPA8cDV3vkpn/mZIjIc2AFYZOP7hmEY8RJ1Jnu1MXjwYAYPHpxI2PkM1yf9H/9OwLHAZyKSWmHhYpzCHyEiJwEzgN96ds8D+wGTgR+B35dWXMMwjOqiZcuWzJ8/n44dO5ryLzNUlfnz59OyZctIzyU9q/9NgsftAfYKcK/AGbEKZRiGYaymW7du1NbWYvOlypOWLVvSrVu3SM8k3eI3DADGjYOttoLnn4f+/ZOWxjCMFC1atFi9Op7RNEh8cp9hALz1ljs/+WSychiGYTR1TPEbhmEYRhVhit8wDMMwqghT/IZhGIZRRZjiNwzDMIwqwhS/YRiGYVQRpvgNwzAMo4owxW8YhmEYVYQpfsMwDMOoIkzxG4ZhGEYVYYrfMAzDMKoIU/yGYRiGUUWY4jcMwzCMKsIUv2EYhmFUEab4DcMwDKOKMMVvGIZhGFWEKX7DMIwmymefJS2BUY6Y4jcMw2ii/PRT0hIY5Ujiil9E7hWRb0RknM/schGZJSIfe8d+PruLRGSyiEwSkX2TkdowDMMwKpPEFT9wP9AvwPwGVe3rHc8DiMgWwJFAb++Z20SkeckkNWJDNWkJDMMwqoPEFb+qjga+Del8ADBcVZep6lRgMrB9bMIZJeNf/3Ln6dOTlcMwDKOpk7jiz8KZIvKpNxTQ3jPbAJjpc1PrmTVARAaJyBgRGVNXV1cKWY0CmTDBnadOTVYOwzCMpk65Kv7bgZ8DfYE5wHWeuQS4bdRJrKpDVbVGVWs6d+4cn5SGYRiGUWGUpeJX1bmqulJVVwF3Ud+dXwt09zntBswutXyGYRiVgM2dMYIoS8UvIl19t4cAqRn/TwNHishaItIT6AW8X2r5DMMwDKNSWSNpAUTkYWB3oJOI1AKXAbuLSF9cN/404A8AqjpeREYAE4AVwBmqujIJuQ3DMAyjEklc8avqUQHG92RxPwQYEp9ERpJI0CwOwzAMo2iUZVe/Ub2Y4jcMw4gXU/yGYRiGUUWY4jcMwzCMKsIUv2EYRhPFfuczgjDFbxiG0UR54YWkJTDKEVP8hmEYTZSRI5OWwChHTPEbhmEYRhVhit8oKxYvTloCwzCMpo0p/jJgwQJYvjxpKcqDWbOSlsAwDKNpY4q/DOjQAY49NmkpDMMwjGrAFH+Z8MgjSUtgGEZTw37nM4IwxW8YhmEYVYQpfsMwDMOoIkzxG4ZhGEYVYYrfMAzDMKoIU/wJM3du0hIYhmEY1YQp/oSZMSNpCQzDMIxqwhS/UXZMnZq0BIbRNPjpp6QlMMoRU/xG2bH//klLYBhNg2+/TVoCoxxJXPGLyL0i8o2IjPOZdRCRV0TkS+/c3jMXEblZRCaLyKcisk1ykhtxYS1+wzCM+Ehc8QP3A/3SzC4ERqpqL2Ckdw/QH+jlHYOA20sko2EYRsVhK/cZQSSu+FV1NJDeITUAeMC7fgA42Gf+oDreBdqJSNfSSNo0mDcPROB2qzIZaYwaBZ98krQURjExxW8Ekbjiz8B6qjoHwDt38cw3AGb63NV6Zg0QkUEiMkZExtTV1cUubCF88UVpw5s+3Z3vvru04Rrlz557Qt++SUthFJNVq5KWwChHylXxZ0ICzBrVaVV1qKrWqGpN586dSyBW/jzzTNISGIbRVLEWvxHEGlEfEKEL0DJ1r0ocf6LPFZGuqjrH68r/xjOvBbr73HUDZscQvmEYRsVjLX4jiNAtfhEOEuFLYCrwBjANeCEmuZ4Gjveujwee8pkf583u3xFYlBoSMJoO1koxjOJgC4QZQUTp6r8C2BH4QpWewF7AW4UKICIPA+8AvxCRWhE5Cbga2EdEvgT28e4BngemAJOBu4DTCw2/Wiln5VrOshmGYVQ6Ubr6l6syX4RmIjRTZZQI1xQqgKoelcFqrwC3CpxRaJjVjATNkigzbLUxwygeK1bAGpEHdY2mTJTXYaEIrYHRwDARvgFWxCNW9VBqRWytacOoLpYtM8VvNCRKV/8A4EfgT8CLwFfAAXEIZcRPJbT8ARYvhtkVNH1z2TLYe2/48MOkJTEMwwgmiuK/VJVVqqxQ5QFVbgYuiEuwSubhh51itdZ14Wy7LWzQaKWG8uWjj2DkSDjdZp8YhlGmRFH8+wSY9S+WIE2JgQPdecKEZOXIRqW0SL/8MmkJDKOysQaIkU7OkR8RTsPNnt9YhE99Vm0owqx+o7TYkqzxYoWsYRjlTpgpH//B/a//d+o3ywFYrNpojX2jzBk5MmkJqoNKmUNhGEb1kVPxq7IIWAQcBQ1W7mstQuuYVu4zYsJapPFi6WuUG/ZOGulEWbnvwBKu3GfEhBUCpcFa/IZhlCtRJvddSQwr9zVlrPA3wnDZZdCvX9JSGIZRLSS+cp9hNCXy6VH529+KL4dhGEYmorT401fuuwlbuS8r35Z46qMqjBgBK1eWNtw4qNRle1OK/5tvsrvLh+7d4Zhjiu+v0bSx4b1kGDkS5s5NWopgoq7ct4SGK/cdGIdQTYWDD87tppjDAf/+N/zud3DDDZndVEohsHhx0hLkRyp9v/oqu7tx46JXDGtrYdiw/OQyDKO07L037Lxz0lIEE7qrX5UffLcPxCBLk2P+/Nxu/Ip/yRJYe+38w/vgA3f+/PP8/TBKw1ZbwaabwqRJSUtiGEZcTJ6ctATB5Gzxi7BYhO8yHaUQslootIv+X/9y5yeeyOymUlr8lUqU9P3ii/jkMIwUqrBqFfzwQ263RnWQU/Gr0kaVtsCNuAV8NgC64dbpvzJe8aqLUvwFYIq/cFThH/+AefOSlsQwwvHXv0Lr1rBgQdKSGOVAlDH+fVW5TZXFqnynyu3AYXEJZlQ3qsWtCNXWwnPPFcevt9+G88+Hk04qjn+GETf/+Y87W2XVgGiKf6UIR4vQ3Pul72igCcwfj5clS8K7bRYlN7LQFNcPOOGEwp6vqYEDirSJdOqPg+8CBrrC9KjMmVMcOQyjEvnHP6Br16SlqG6iqJqBwBHAXO/4rWdmZGHVqvBuS6Gwo8hTTjxQ4HTScvqtplevpCUwqpVUxXToUDjyyGRkOP98+PrrZMI2HFFm9U/D/dIXiAgXqfL3YghV76dMAxbjehZWqGqNiHQAHgF64JYNPkJVbeTKx4IFsHw5tGjR2O6xx0ovTzURpsVf6CSrVauK1ztkVAcr0lZc+cMf3Hn48NLLYiRPMYuP3xbRLz97qGpfVa3x7i8ERqpqL2AkDXcMLDuiTKYrVot/1Spb6CUpgrr/i00cvTbWAsuOauVOjP30U5g2zV3nKmPuvRfeey92kUqGqlsZc9aspCUpL4qp+Es1sjyA+nUEHgBCLJNTGRSzq3/EiOL5ZZSGsHkWhwKyeQeZqatzPSy33prb7bvvwujR8csUhcMPr7/O9e6cdBLsuGO88pSSTz5xe2EkNaxRrhRT8cdRH1bgZREZKyKDPLP1VHUOgHfukv6QiAwSkTEiMqauri4GseLhSvs5sqoJq/itdV5apk935/PPz+32V7+C3XaLV56o/Phj0hIEs8su8YeRWhulXNMgKcq9xb+Tqm4D9AfOEJFdwzykqkNVtUZVazp37hyDWOHJVcN+//366yuuiFeWSiKfrrmJE8vzP+XddoObbsrtLmxLfuzYwuTJFbYVksFE+UOnnPAPDYmUT8XxzTfjDyO1Z8Ynn8Qflp9PPy1teFEppuL/bxH9AkBVZ3vnb4AngO2BuSLSFcA7x7AdSuko1yUdk6Zv38Zm/kpSEFtskbub8tBDG090ypegykmQ8h49Gs4+O7d/YRV/HF39fj+bwiZPxaTSf4/1561qwwpMpVZmwvLCC+5c6nd60aLShheV0IpfhAdEaOe7by/Cval7Va4qpmAiso6ItEldA78BxgFPA8d7zo4HnipmuEb5Mnt2bje5lsF94onC18dftsydv/wSFi7M7E7V/V1RbOJW/E8+WXz/y4GlS/ObGFnpij9dufvjs/vuJRWl5FR63sVFlBZ/H1VWF3OqLAC2Lr5Iq1kPeFNEPgHeB55T1ReBq4F9RORLYB/vvmyp1JnARmbuv7/++rrrMru79FJ49NHw/k6cGM5dHLP6/e/pRx8V3/+wDBsGEybE4/faa8OgQbndpdPUlIc/Prl60SqdpPKu3N+ZKIq/mQjtUzcidCDCOgBRUdUpqvpL7+itqkM88/mqupeq9vLOJd71vrTsvLMt+JKiWJWo1GStfPF3G2aT6coro42Xh91VMbX8alwkWWgdcwz07h2f//fcE/2Zci/Eo/Dss8HxWbgwWiU1GytWuAW3wlRQ424Y2XoXwURJluuAt0W4QoQrgLeBa+MRq7rp1QuuucZdv/WWmwcwdWrxwxGprN+4so3NR5m8U2grx19w5ipYsg0F5Eu23RfzxV8ANyVFF0TUtRb86RHnypfbbQcXXRSf/+B6q4Lyd+BA+K1vJZYoEwBPPx322qv+/p//dEtsN2+e+9lHH3X7aMTVy1MOLf5y7PUNrfhVeRC3Kc9c3IS6Q1V5KC7Bmgr5ZPrkyXBh2rJET8U0k+H11+PxNw6yFdh33x3en2J+iOmKP93vuAqeSZOKO3/AL3dTbCX541eIktlgg8JlycSYMXB1zAOXmd799IZFlHfr9tvhtdfq76NshrVwIXTvHm8vT9JEKZtKRc5PXIS23rkD8DXwH2AY8LVnZhSRTB9mPsoqzMzScqyNZmL8+HDucsW70Dj7lXn6bmfZFH9QuPn+YbDZZsUtLP2yvfNO8fwtlFWr4NsiDOYVkuf+PCyXX+HArbB32WXRnsmUDuk9GYVUWKP8plfKSmaud+Cmm+DBB4sTlr/ilFo1sZwIk+ypEcWxwBjfkbo3isiddwab51Nwxd16KDU33JDZbujQ+ut27TK7g+Iq/sWLw7sN+nXqzDMb3i9dGl6OL78M7zYX/jQpxf/VQQSlz+DB0LFj4co//Ze2KD2vGkUAACAASURBVGRTgsOHw//+19g8aoUun3dyxx3dcrRR+P774PikK/5SrT4YpoKxYgVcckl+y2H7Kxa51gY5+2w4/vjiLLv9+OP110lOls1ETsWvygHeuacqG/uOnqpsHL+ITYctt3SFWDZOOy3YPI4xfqisFn82UlvlhuHttzPbtWrltvANYtkyV1A98ki9Wa5fDP0F27/+1dg+vaJ3/fXZ/Uun0A1/UpTDe3DeeY3NUhPOCt1HvpCx+UzKaelSOOoo2DVgWbGom9+Uan386dOD45OuFP0V6TgJ0+J/+GE3UTaf+Q/+uIbtxSiG4veHNW5c4f4Vmyj/8Y8MY2Y05NVX66/Hj4/WcvF/jLfcUjyZ/BRLcVQS/vHIdJYsybwy3vffNzbz5y80VqD+CU5hJlJGXWPg3HOjuU/x2msN38VyUPxB6Z5a4CpMuowbl9ldHC3+v/418zNRvyv/L6JxExSf9N6WN96ov54wIdyvpitXBs9FOvxw2GGH8LKkk6rU57PYULr/F1/szFIL++QrU5Rwy+HbSifMGH9Lbyy/k7doTwfv6AH8LHYJy5CpU+uXgszF4YfD1nmudtCtW37PRSG1PaeRP9lak/4Wzccf5/Yr6hhjPi3hJUvcLGx/71P6oj1RhhyKRbbV1Q46KPfzW23l5j4EUYjiz+Tfyy9nto8ydv3RR5mH+OLggw+iue/d262KmYtnn4WD07ZMa9nSbQX+/vvBq5SGSadiTZBVhb97G8fvt19Du6OPLm54fj9qawv3r9iEeT3/gBvP38w7p46ngBD7VTU9Nt4Y1lsvvPuPP66s3+bSmTTJVWCidKfnYsWKcCvx5WLpUnjppcL9ycSECXDEEdlnOfu7INMLDf+9vxVVLPLZm8Afl9T4dPr7uemmcMghxVveOAxhuuMXLMg9ryKIfJT9ggVw4IGNK1fz5sHNN8OHH2Z+NoriL/SXz6h/d6Qr50J4+OH666DGUGqVSwhej8SfTjffnL07P5889H9/2dLJvzZGGMX/7bfw4osuLYPW6ij3X2LDjPHfpEpP4Fzf2H5PVX6pSkwd0E0P/wY8n32Wnx9Rf0N64YVwhWmudawHDXK19mxj4yl/whZC55zjfo06+eRoH3R6N31NDfTrF/75qPTuDf/9L4walfljvvbazHFIf8ZfEBaDkQUOtu26q+ueTd/EcuZM1wsQdjXBYvDVV/XXmSpzHTpA27bZ/QnKi3xa/Jdf7lqx6asz3nBD8TZ9Sc0b8ROmIuD/ztInj0WtrBUySTTqZjTp5YN/+Oyss9yE5Ezxv//+zH/GZIqzP2233DKcjGGGaTp2hP793bcT9PtiesWvlBXoMET5meJrEby18/mLCI+LsE1McjU5br+9/nrKlPz8iNoN/MknbvJRLn796+z2qRm+ubqVd9kF1lwznGypj+Weexq2GnKx117ug0u1LsL+4heVDz5whX6KfffNvrLezTe7c7qb9F6Sli2LI18hpL9/Bx9cHi0Uf4EfVJkL29K/8cbGZn6FEXbtilSePvNMQ/PrroP77mtoll55vumm3BWMYcPc+7DHHg3NBw/OLZv/O0sPJ8p/9JB5KHLKlNyTDqNOnksvH049tbGb9AW2/L/n+iuHKVq0cEcQ/oZP2FU0e/WCe+/N7S4b6b/wZZIvMVQ11AH6qXfeGfR/oANA3wv7fFLHtttuq8XGfWr196NHu/vnnlOdM6fePtsxY0ZDv8IeQSxfrvrvf+d+5rnnovmbHt9M7m6/PbxfQX7mc+yxh+rEieHjk27//ffFlWvHHd3zp57a0Pz446P79cMP9fIsWaJ6xBGqixbll3eqqg895NzNn+/uhw1r7Ef//sF+f/ppuPzMl9Q7OW1a7nSZPj17nIPSpHNn1cMOc/ntt//6a9UPPnDXY8c29me99aLl2eabNzZ7883scT/88Pzz1O/27bcb2j36aOHfF6i2b696/vmNZQLVu+5y1xddVJywssX/wgvrzb/4InNaBNGhQ7gw0u322y98+l93XXb7sHlabIAxqsF6MUqLP1Wn3R+4XZWngJDtu6aDf9bw44+7Lpx//9vd778/dO0azp98Z+lffbWrTfrHi6+5xq1xno2VK518mQhqTU2c2Pg3H3/t+4svXM04/RfEmTPrr5cvd12m337rWgRBrbF8GDUq+5yDUaPc55aJ115zk9zeeqs48rz7rjunt95efDG6X+usA1d5e10OGAAjRsBGG4V//uij4dhj6+9TLdfU5KqgoZ1MrbV081dfdf+OF2vVwNTa+WEmnPm7T3Ola+qPhbo6N0yV/i7svDM8/bS7Tm/RA8ydm1seP0FDIpnez5UrXZmRbW38FSvC90wcdljD+2zvfRQWLHDDWH7GeCu3nHKKa63nM98iDKleqQkTGpZBUVfBy/fXvCgLNZ1zTgXO4cpUI0g/QJ8FvRP0K9B2oGuBfhL2+aSOYrf402txl16af6124MDCasWvveZ6Dg48MLfbt9/Obv/SS6pz56quXKnar19m2bbd1rWQdtopu3/z56vusEOw3aRJhcU77PHYYy7PZs8Otj/hBHceOTJz/kY5vv1WdcSI4smvqtq9e253X34Z/I5266b6xhsuz0D13Xed/X33NfZj//2D/X79ddWDD1Z95pmGvQ5nnlnc7+m003LH87PPGqdPtm9z1ar667q6zP4OGODcqjZ8phjHpEnO36lTVX/80V0PGRL++ZYtVVesyB3X1DtcbPn9x/Llqq+80tBs993jCesf/3A9JkF2mdIiCJHs4TzySHB6ZvIvU/p37OjMv/hC9e9/D/bviSey+1lsyNLiDzQMdIi2Aj0UtJd33xX0N2GfT+qIW/E3tePKK4vjTyEVomIeCxdmtttoo/rr/fcP7gKPcqy1luqddxZP9kwFSNDx3Xcurp9+mtnN0Uc7xXD33fnJM3x4w/vZs11lZ9as+u9j8GBXIZ0/39n5WbiwoRJbsCBa+OmVTVXVn35ycT/55Mbu99svmv9z5zqZi/n+de7shhXAKaH586P7UVvrzvffn70cevdd1T//ubjypx8HH9zwvk+feMMLOr77zr1z77+vesEF9ebHHae6bJlLnx9+CO/f4sXB5rNmqS5d6t7bIUNUn37a5V+m9/Yvf8kd1pQpbsjqyitdeTNjhurVV7tvq9hkU/zi7HMjwobBPQbMKFbvQxzU1NTomDHFW1m4HCZBGUYhbLJJ8D/VhdC5s/tfea21Gpq3a+e61GfOrP9X+pln3OS39MWPovLxx9C3b2F+VAIHHFA/0fSyy1waX3xxsjKVM126hF9npZwIqYpDIyJjVTVwHdIoiv8zQAEBWgI9gUmqlPW+Sqb4DcMwjHJn/PhwCyWFJZvij7It71aq9PHOvYDtgYS28zAMwzCMpsOll5YurLw3RVTlQ2C7IspiGIZhGFXJY4+VLqw1wjoU4c++22bANkBdBueGYRiGYZQhUVr8bXzHWsBzwIA4hMqFiPQTkUkiMllELkxCBsMwDMOoREK3+FX5K4C3bK+qErBJafyISHPc5kD7ALXAByLytKpGXMneMAzDMKqP0C1+EbYU4SNgHDBehLEihNz2oKhsD0xW1Smq+hMwnIR6HgzDMAyj0ojS1T8U+LMqG6myEXCOZ1ZqNgB8i8JS65mtRkQGicgYERlTl77tmGEYhmFUMVEU/zqqjErdqPI6sE7RJcpN0J/0DRYjUNWhqlqjqjWdO3cukViGYRiGkR/pe57ESRTFP0WES0To4R1/AabGJVgWaoHuvvtuwOwE5DAMwygpQdsVG6WlefN4/L3hhnj8DSKK4j8R6Aw87h2dgN/HIVQOPgB6iUhPEVkTOBJ4ulSBX3ddw/s+fUoVcvycckppwvl9Em9NCLYro1Upfve7/J5L7cRXaoYMge+/d0vzrlpVvxjJyy+78wMPODtVt6vlxRfD558XFubChW63SP+OkYUwZUrDnSWLwc031+8ot9120ZdlPfzw+uvly93yx1MDmltt2sArr+QvZ77cdVd8fqeWeA5iu+2Cd1U8/XQYPhx+/Wv41a/ChXP77cHmX3zhdt3cZRc47zznr6rbObFQJkxovANk+nLXsZJpEf9yPoD9gC+Ar4DB2dwWe5Me1YabLqTfhz123LHh/uJRjvPOU91mm/r7nj2zu//qq3D7Zj/6qOrWW6uedJLbTGK//VS33LKhm+HDVQ86KLs/L76YecObvfbKP83yOebNUx0zJtgutbPYqFEuDbPteR/2uOaa4sgd9K5FeS7TLoF1daqbbBLNzyuuUJ0wwe0u5jdv1cqde/RovCHPihUu3aN8S/nGVTV4c53PP8/8bMeOwf59913x3r0WLZyfq1a5DWVStGsX3o8vvgiOb6a0ePfd4smffrz7rur//V9Ds08+iS88VfdNpueVn/ffrzdfuLChXbYNq9L9CrJbuTLae3vXXapbbKF64oluw650+x9+cBv/zJxZ78+PPwbHqxhQpN35XgFt57tvD/pS2OeTOkqh+EePjv5Sp7aMjfrc9OmN5VB1u4DlermzhffUU/Vbk+aKr3/nvdtuCw5v1SrVJ59UPeMMZ3blleHkiHKkFE+m4557Moc3cWLuuGaqMGQ6/vKXxlvH5nNcdFG9PD165HbvL3z9jBmjOm1avd2ppzrzUaPCy/LWWw39fPnlertZs+q3+s2XTTd1fqXek2xHyi24ndiy5d2MGQ3N3nmn8Tsa9N5+/31+eda8eWOz118PjnMYxf/WW6qvvurcjx/vKjGZ4pqe7y++WPg7GHSoqj7/fP3955/Hp/g326w+PoMGZY6rPy3SK5+qqlddlTmMO+7InJ5LlgTnXSb3/q29VVVvvrmh/brrZvbryy9dJaXYFEvxfxTGrNyOOBT/00+7lPPvSd6smequu+ZWRuA+lhT5fHwpJk1Sfe45d53+omV6JoybdNLdLVumevvtjWvEYfwK8jOf7XCjxidsfFP2qX3UU/d//GP2FmT79s59MRT/Tz/Vy5PaQveUU7LHFVQHDgyOU02Ns3/jDXf/1VeN/Tj33GC/33mnsX9bbKG63nqZ0zAKDz/swvFXUDIdEyfWX19zTWO//G5T2/+m7leurL++7rqGdqlKR4qbblK9/nrVo44Kn2fffNPYbPbs4Dhffrmzb9s22K9LL82dbtne55deKvwdzPSe+SuNqvEp/pqa+vj4K21t2mROi6VLG9sNGZI9PmHSM2r6q6recktD+5NPzu1nsSmW4h8LuqHvvgfoh2GfT+qIQ/Fno3Xr4JfMX8v/+ON69/l8fJkIcp9ek8zH31R3/4gR2d2NHp3bTYopU+rD9nfX5Tq22CK/+ISNb7p96n7kSNeLkSm8H35w7nN1L2aTOaxsUQup3XZz7lIt0KAhpgceCPa7tja3/8UiW5qcdFLD9E/vifA/P29eYzO/4k/1UoDbXz4Tb7/t3Gy8cUNZzj47XL7m4oQTguP6/ffR0mvs2IbmxWzxn3hiw/ik0mSHHdz9xx/X28+cWZwwr7mmYXd4iltuadzzoarat2/m9M5H8V9ySfi0B9fFn056T2j6MEQpyKb4o0zuGwy8KcJDIjwEvAFcVJyZBk2HNzPsV3jWWfXXW22Vn99nnhn9mTBh5ZoE06qVO2+4YXZ3u+wCv/1tOLl69oQab8NI1XDPAHz4YXi3xWTXXTNvyXzAAfVplE6LFvHJFJYHH4RTT4WddnL3zQK++l/+srHZ00/DBhs0Ni8VJ55Yf926dcP0//WvG7tfvBiWLoWOHbP7u2qVOy9aBCNGZHb3q1/BvHlw/vnh5P3uu3DuUmR679eJ+JN0hw7R3Kezxx7B5musUT/h9dhj3Tk1oz2Vhn7CvCszZjS833TTxm7OPx+6dWtsfsYZ8ItfNDZ/912X97kIemeC6NEjnLsUQXFILyvWXTean3ETZVveF4EaYBLwCG4BnyUxyVWxBBWg4AreFEEFbwr/7zoD0tYjvP76aLLstVduNyNHJjMbGKBvX3du1y78M+kzXx9/HA4+uKHZZZcVJpefOXNg/nxXCGbiyisz2+2yS/FkyZcNN3Qzl1Nx6Nq1sZt0JfTSS3DggfHLlol58+Cee+rvN9rInc8/H66+OviZ1q0bvx9ffw11dQ3jt3KlO7dtm7ti1rEj7LBDQ7OePYPdtmmT3a90Ugrj+OOjPZfOz37W8D7q0iV//Wuw+dNP11f2Uw2IVCVjy4A1WzNVjP2ky9qyZTgZs7HWWi7vg/Dne7Y/XubMqb9ef/3cYc6f78rOCRNcoyCdbGV8WZCpKyD9AD0Z9DPQBaCjQJeAvhb2+aSOUnf1qzbuUtpjj4bm2dz6x9D8Mz7DdB2m+3XCCbndTJ6c298XXnCzVBctyu02CkuWuOGBILnCdM/5yeUmqj9hwgHV//63oX16V/8++9Rf77xzYz9S4+9R45g6rr02s/tspJ6/+mrX9f/RRw39DRovjZugNEhNWp0zpzC/ly+v9zvTpLtM+LuzoeGwQbq8Ub7XFSvcENJbb0V7Lj2s5csz24U5Mv3NkuLVV+vnTKiq/u9/rmxSbfzXwb77NvSjSxd3vvXWYNn22CP8+58PV1xR7296Pqaz9trOvBjd8kOHxhensFCkrv6zgO2A6arsAWyNbcsbioED3XnixMxDASn8XfNrr11/ffrp0cP19zIUQr9+rgu1bdvi+JeiZctoLeKoLapMbLxxcfwB2HHH7PZ77ll/vcUWje333bfh/YSIW02lumCj8tRT7jxwYPAQTkn/KfY499zGZhdf7M5ReoVyEdRNnY30lmyzZnDBBfX3n32WnxzNm7v3I0xLORuFti5zfdd77dVw0Zqdd64vm3r1auj2xRcbrocxd65TfZnKr2OPdd3/L78Mn34K778fXf6w+NM56P2+/HJ3zjRsF4Vyb/FHEW+pKksBRFhLlc+BgBEXw89NN8HJJ7vrzTarH2fNRKbxva23jh52ehdlpRN2rDUXYYZAisVmm9Vfd+nS2D69q3PzzaP5H6ZbMoiDDnIFcndvDUzV/PwpJtde68677VZvdvbZTrZCu4T98Ysa1yDFfPnlbshh+fLgbu/UN18KolYc9t47HjlSvPBCeLfNmrl3cJ99XKOn2Ito+fPar4zTKyzgyhfV4szLKXfFH3pbXqBWhHbAk8ArIizAlsrNSdQJeZkKuEJbBZkoZus3brbfvjj+ZFMi990XPAaeiSj5EqRwymHyH5SH4hdxPUvZ5lMUA3/FIgxBhXjLlg1b/elEydd8v+1773XKKurzDzyQeyLeoEH5yQS5J1f6iatcS+Hv3endu/467ve93BV/lMl9h6iyUJXLgUuAe4CDsz9llDN33hn/h1dMgibRFJsTTmjc/e5nzTWzP5+tQAnqYi6kAMr375AgykHxg+uCjWMtdH/8ovqfzzcS5Zltt208kTcMv/+9m7gYFf8Eu3POcefHHoM//7nefL/9ovtb7vjzJO733R/WUUfFG1Y+5FUvUeUNVZ5W5adiC1TNFDq7NypBXZTlTDFmAAN06pT/szNnNhxySO++968/n26XPqMZ8u+qh8wzmY3ikk8PRBTF36KF+zslCVKVx0MPbbgPSa65K8UiqU2H4u7p9Od/ob9bxkGZd0hUF7fdVtrwKqm1n4tcBZW/662QwqZLF9hkk/r79C7dZcsyPxs0wamQyt566+X/bLWRUt757IDmn2QblqiFfam+xfQ5Rv7ubz9R5DnkkPzH5oPmvRST9JZ9qvJ9443xhutPv3IsZ03xJ4z/QyzGbNJq5SJvKalMfwn4C4BCP8Rsz6cXNP6KQdC4X76y3HWXm49QLMqlqz8umjVzcTz77OjP5pNHgwfHH0Y+dO/e8D5oQRyIJs/jjzeejf/JJ26Gf9Kkf3OpynchPW1RwzXFbzTiuOOSC7scX8h8Sc1SHz062L5Uij89zP79w/vr//UvG2ef7WaNF/MXNyMz+UzUSuJ3yHzI9Itsod9Inz7Z58qUivTFjAYPdt9l1NURo+KfR1KO5WzM82eNfLj11vhrpFCeL2QlELbFrxpNaYTtht555/B+GoVTqhnaF12U3yS/KGy7bTh3VjYURrl39ZviT5igLtZ8FuvJh3J8IUtBsVr8J5yQ3V3U7vM+fcK5i6Nbvql39ReC/32J2oUfhauuisffzz+vX0/ij38M90wpepPeeSf+MFKUoiHlx//O+PdpKResqz9mchWo06YVL6ywtflqplmz4E018iEob/1m/lnSxaTYKyimk2kt+mrF3+LPti8DuLHtWbPilScq/vc9bKU3jl8q0ynVnwPQeD+PuPGnczl+T6b4EybXZKNUbTHMr2y5VgVMpxpb/CtXFr70b9h0yzRjP9NuaGHZZ5/Cng+imHMgmhpR0qNPn+DfNpMm6JfEUq5gmRS77+7OYXcNLRapDcjKFVP8MZOrxZ+rUBkyxHUBHnlk4WFFDTtp/LuzFcoppxTPr1S6BaV3KdI0jjD8cTn66OL7X8mU+3cShtT7n+q9UIVXX01OnlKx+eYurmEnzhaLJLezDkNZKn4RuVxEZonIx96xn8/uIhGZLCKTRKQM5o1mp9DlR9dZx036iaPrrdwLNP9+7IVuHXzHHfDjj4X5kSKVbkEr8UUpYM47rzjyFJtM27RWK+W+/GoYbrkFfvihNF34RvnPmSnnyX03qOo//QYisgVwJNAb+BnwqohsqqorkxCw3IiqyMtZ8aevrFXoxiLNmuW3EEsQ2dItU8HqX788VSgktWpZENbVn5mmkB7Nmtk6IUlQrDKn2JSz4g9iADBcVZcBU0VkMrA9UML5oeGJsuVsEpTzkq81NUlLkJugWn36f8PgtmMOWia4KSiUaqCa8mnatOqKb9yUa8u/nDuxzhSRT0XkXhFp75ltAMz0uan1zBogIoNEZIyIjKnLZxeLAknNVh0ypLTh+l+yyy7L7b5Ys9vjoJxbJ9nG+IN2Zdtss4aKv1wLAyOYuBd7KSc22gg23DBpKSqfcq88Jab4ReRVERkXcAwAbgd+DvQF5gCpH6OCkrNRMaqqQ1W1RlVrOgc1wWIm1d2bVObfdJPbL9yIh2yKPx9/ygGrjGQm7m2CDaPUJPZKq2qoUVsRuQt41rutBfyrTXcDZhdZNKMMKCelmE6hit+UbOXx3//Gv36CYZSKsuzqF5GuvttDgHHe9dPAkSKyloj0BHoB76c/b2Sma9fcbozsFFopSSn+cqrcWGUkO4cfDr/5TdJSGEZxKNdOrGtFpC+uG38a8AcAVR0vIiOACcAK4IxynNFvhWjhxL1fdjHIlM/77gvHHpv7+XJS/IZhVA9lqfhVNWOxqapDgBJPm8uPUhfsTanCkdpmd9KkZOUIIldXf67tSJtSPhlGVK6/3taKSJqy7OpvKiRVwGercFRKKzM1QXLTTcvv74NCx/jXXdedg/4AyPVcocv9ZmKTTeLx1zDS+dOfYOHCpKWobsqyxV/pRFGulaKIjXoKVfz33eeOqJuUxFlYdukSn9+GUa2U60qJ1uKvMqyiUTiFpmHnznD++eWXF4WujmgYhmPtteGSS+Dtt5OWJBhT/FXGBRckLUHToamN1T/zDMyYkbQUhtE0+Nvf3G6N5Ygp/ibEqae6mma2vae7d89sZ4TDv8NZU6JlS3s/DKMasDH+GIiiEIqpPHr3zr0DXVNTVklQrJX7DMMwksBa/DESZgw3aGtXozIwxW9UAuU2l8RIHlP8CWOKv/KwgtQwjErGFH/CmOKvXKzFbxhGJWKKP2FSit8mVVUOqX/ef/7zZOUwDMPIB5vclzApxd/MqmAVw047wfPPw157JS2JYRhGdEzxx0CbNu4cZh/vUiv+NdcsTThNnf79k5bAMAwjP0zxx8CDD8I998D22+d226GDO//ud/HKlMIUVvnxxhswb17SUhiGUS2INvEZSjU1NTpmzJikxcjKokWul6BUrf5y/A89faZ8OclmGJWG/3uyb6k6EZGxqloTZGct/jIgtVubYRiGYcSNTSkzDMMwjCrCFL9hGIZhVBGm+KuUAw9MWgLDMAwjCWyMvwpZtizcr4aGYRhG0yOxFr+I/FZExovIKhGpSbO7SEQmi8gkEdnXZ97PM5ssIheWXuqmwZprlveCQb/5TdISGIZhNF2SLP7HAYcCo/2GIrIFcCTQG+gH3CYizUWkOXAr0B/YAjjKc2s0MVJrGxiGYRjFJ7EOX1WdCCCNtzobAAxX1WXAVBGZDKSWwpmsqlO854Z7bieURmLDMAzDqHzKscN3A2Cm777WM8tk3ggRGSQiY0RkTF1dXWyCGoZhGEalEWuLX0ReBdYPsBqsqk9leizATAmupASuSaWqQ4Gh4FbuCyGqYRiGYVQFsSp+Vd07j8dqAf8mtd2A2d51JnPDMAwjjVNOSVoCoxwpx67+p4EjRWQtEekJ9ALeBz4AeolITxFZEzcB8OkE5TQMwzCMiiOxyX0icgjwL6Az8JyIfKyq+6rqeBEZgZu0twI4Q1VXes+cCbwENAfuVdXxCYlvGIZhGBVJkrP6nwCeyGA3BBgSYP488HzMohmGYRhGk6Ucu/oNwzAMw4gJU/yGYRiGUUWY4jcMwzCMKsIUv1FWdOwI552XtBSG0TT44x+TlsAoR2yPNqOsqKuDxqs4G4aRD1tumbQERjliLX7DMAzDqCJM8RuGYRhGFWGK3zAMwzCqCFP8hmEYhlFFmOI3DMMwjCrCFL9hGEYTY/DgpCUwyhlT/IZhGE2MK68E1aSlMMoVU/yGYRiGUUWY4jfKCmulGIZhxIspfqMssNX6DMMwSoMpfsMwDMOoIkzxG2VB69bubF39hmEY8WKb9BhlwXvvwXPPQfPmSUtiGIbRtEmsxS8ivxWR8SKySkRqfOY9RGSJiHzsHXf47LYVkc9EZLKI3CxiI8NNhc03h3PPTVoKwzCMpk+SXf3jgEOB0QF2X6lqX+841Wd+OzAI6OUd/eIX0zAMDp5blAAABt1JREFUwzCaDokpflWdqKqTwroXka5AW1V9R1UVeBA4ODYBDcMwDKMJUq6T+3qKyEci8oaI7OKZbQDU+tzUemaNEJFBIjJGRMbU1dXFLathGIZhVAyxTu4TkVeB9QOsBqvqUxkemwNsqKrzRWRb4EkR6Q0EjecHzgFX1aHAUICamhqbJ24YhmEYHrEqflXdO49nlgHLvOuxIvIVsCmuhd/N57QbMLsYchqGYRhGtVB2Xf0i0llEmnvXG+Mm8U1R1TnAYhHZ0ZvNfxyQqdfAMAzDMIwAkvyd7xARqQV+BTwnIi95VrsCn4rIJ8CjwKmq+q1ndxpwNzAZ+Ap4ocRiG4ZhGEZFI9rEl0qrqanRMWPGJC2GYRiGYZQMERmrqjWBdk1d8YtIHTC9yN52AuYV2c9ywOJVWVi8KguLV+VRyXHbSFU7B1k0ecUfByIyJlNNqpKxeFUWFq/KwuJVeTTVuJXd5D7DMAzDMOLDFL9hGIZhVBGm+PNjaNICxITFq7KweFUWFq/Ko0nGzcb4DcMwDKOKsBa/YRiGYVQRpvgNwzAMo4owxR8BEeknIpNEZLKIXJi0PEGISHcRGSUiE0VkvIic5Zl3EJFXRORL79zeMxcRudmL06ciso3Pr+M991+KyPE+821F5DPvmZu9JZRLFb/m3s6Nz3r3PUXkPU/GR0RkTc98Le9+smffw+fHRZ75JBHZ12eeSP6KSDsReVREPvfy7VdNIb9E5E/eOzhORB4WkZaVml8icq+IfCMi43xmsedRpjBijtc/vHfxUxF5QkTa+ewi5UU++R1XvHx254qIikgn775i8qtoqKodIQ6gOW6Z4I2BNYFPgC2SlitAzq7ANt51G+ALYAvgWuBCz/xC4Brvej/c0scC7Ai855l3AKZ45/bedXvP7n3cUsviPdu/hPH7M/Af4FnvfgRwpHd9B3Cad306cId3fSTwiHe9hZd3awE9vTxtnmT+Ag8AJ3vXawLtKj2/cFtmTwXW9uXTCZWaX7ilxLcBxvnMYs+jTGHEHK/fAGt419f44hU5L6Lmd5zx8sy7Ay/hFnXrVGn5VbT0SVqASjm8TH7Jd38RcFHScoWQ+ylgH2AS0NUz6wpM8q7vBI7yuZ/k2R8F3Okzv9Mz6wp87jNv4C7muHQDRgJ7As96H908XyG1Oo+8j/tX3vUanjtJz7eUu6TyF2iLU5CSZl7R+YVT/DO9QnMNL7/2reT8AnrQUEHGnkeZwogzXml2hwDDgtI4V17k833GHS/c/i+/BKZRr/grKr+KcVhXf3hSBVmKWs+sbPG6z7YG3gPWU7fDId65i+csU7yymdcGmJeCG4HzgVXefUdgoaquCJBltfye/SLPfdT4xs3GQB1wn7ghjLtFZB0qPL9UdRbwT2AGMAeX/mOp/PzyU4o8yhRGqTiR+s3QosYrn+8zNkTkIGCWqn6SZtWU8isUpvjDEzQuWrb/QopIa+Ax4GxV/S6b0wAzzcM8VkTkAOAbVR3rN84iS0XEC9fa2Qa4XVW3Bn7AdRFmoiLi5Y1tDsB1Cf8MWAfon0WWiohXSJpEXERkMLACGJYyCnCWb7xKGmcRaQUMBi4Nss4gS0XlVxRM8YenFjc+lKIbMDshWbIiIi1wSn+Yqj7uGc8Vka6efVfgG888U7yymXcLMI+bnYCDRGQaMBzX3X8j0E5E1giQZbX8nv26wLdEj2/c1AK1qvqed/8oriJQ6fm1NzBVVetUdTnwOPBrKj+//JQijzKFESveRLYDgKPV67cmerzmET2/4+LnuEroJ14Z0g34UETWzyJ/xeRXZJIea6iUA9cym4J7eVITWHonLVeAnAI8CNyYZv4PGk46uda73p+GE1ve98w74Mae23vHVKCDZ/eB5zY1sWW/Esdxd+on9/2XhpOHTveuz6Dh5KER3nVvGk5QmoKbnJRY/gL/A37hXV/u5VVF5xewAzAeaOWF+wDwf5WcXzQe4489jzKFEXO8+gETgM5p7iLnRdT8jjNeaXbTqB/jr6j8KkraJC1AJR242Z9f4GawDk5angwy7ozrdvoU+Ng79sONn40EvvTOqRdYgFu9OH0G1Pj8OhGY7B2/95nXAOO8Z26hyJNyQsRxd+oV/8a4GbaTvUJmLc+8pXc/2bPf2Pf8YE/2SfhmuCeVv0BfYIyXZ096hUzF5xfwV+BzL+yHcAqjIvMLeBg3V2E5rsV3UinyKFMYMcdrMm5sO1V+3JFvXuST33HFK81+GvWKv2Lyq1iHLdlrGIZhGFWEjfEbhmEYRhVhit8wDMMwqghT/IZhGIZRRZjiNwzDMIwqwhS/YRiGYVQRpvgNwzAMo4owxW8YhmEYVcT/AyQwMYdoHjykAAAAAElFTkSuQmCC\n",
      "text/plain": [
       "<Figure size 576x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 576x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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kyBAuvPBC3n33Xfr378/XvvY1Ro0albNec1XrfQguAO4ys18BrwK3xPJbgNvMbCbhyMDJAO7+ppmNB/4FrAfOcvcNlQ9bREQqacyYMXTt2pVPPvmEgw46iCFDhvD973+fp59+mj59+rBs2TIARo0axf77788DDzzAk08+yemnn85rDWQxjz76KDvvvDN/+9vfAFi5ciXbb789V111FZMmTaKmpqZe/TfffJPLL7+c5557jpqamk3rzeWcc87hzDPP5PTTT+f666/fVN6+fXvuv/9+OnXqxJIlSxg4cCCDBw/miiuu4I033tgU7/r163PWa+5VH1WTELj7U8BT8fV75LhKwN0/BU7KM//lwOXli1BERHIp5Jd8uVx77bXcf//9AMybN4/Ro0dz2GGHbbohT9euXQF49tlnuffeewE44ogjWLp0KStXrsy73P3224/zzjuPCy64gOOOO44vfelLDcbx5JNPcuKJJ25KFDLrzeW5557bFMu3v/1tLrjgAiDcUOjiiy/m6aefZosttuD9999n4cKFm82fr95OO+3UYIyNSbsPgYiISJM89dRTPP7447zwwgtMnTqV/fffn89//vM5fym7b97P3MzYaqut2Lhx46ayzM189tprL6ZMmcJ+++3HRRddxKWXXtpgLO5e1C/0XHXHjRvH4sWLmTJlCq+99ho77rhjzpsLFVqvWEoIRESkRVq5ciVdunShQ4cOTJ8+nRdffJE1a9bwj3/8g1mzZgFsOnR/2GGHMW7cOCAkEjU1NXTq1InevXvzyiuvAPDKK69smm/+/Pl06NCB0047jfPOO29TnY4dO/LRRx9tFstXv/pVxo8fz9KlS+utN5dDDz2Uu+66C2BTTJn27LDDDrRr145JkyYxZ86cnOvMV6+5quaUgYiISDEGDRrETTfdRL9+/dh7770ZOHAg3bt3Z/To0Xzzm99k48aN7LDDDkycOJFLLrmE7373u/Tr148OHTowdmy4x90JJ5zArbfeSv/+/TnooIPYa6+9AJg2bRrnn38+W2yxBe3atePGG28EYMSIERxzzDH06NGDSZMmbYqlb9++jBw5ki9/+ctsueWW7L///vz5z3/OGfc111zD0KFDueaaazjhhBM2lZ966qkcf/zxDBgwgP79+/PZz34WgG7dunHooYey7777cswxx3DBBRfkrNdcluswSlsxYMAAnzx5ctphSHTzzfDDH8KIEeG1iFSvt956i8997nNphyENyLWPzGyKuw/IVV+nDERERESnDERERMrh8ssv5+67765XdtJJJzFy5MiUImqYEgKpGpk+OA30xRGRKlJsz/q2ZuTIkal9+TelO4BOGUjVuPba8PeeexquJyLpa9++PUuXLm3SF4+Ul7uzdOlS2rdvX9R8OkIgIiJF69mzJ7W1teghcdWpffv29OzZs6h5lBCIiEjR2rVrt+lugNI66JSBiIiIKCGQ6rFgQdoRiIi0XUoIRERERAmBiIiIKCEQERERlBCIiIgISghEREQEJQRSJWbOTDsCEZG2TQmBVIU990w7AhGRtk0JgVSlceNAt0gXEakcJQRSlU47De68M+0oRETaDiUEUrX0GGQRkcpRQiBVS49ZFxGpHCUEIiIiooRAqpeOEIiIVI4SAqlaSghERCpHCYGIiIgoIZDqpSMEIiKVo4RAqpYSAhGRylFCICIiIkoIpHrpCIGISOUoIZCqpYRARKRyUk0IzKyXmU0ys7fM7E0zOyeWdzWziWY2I/7tEsvNzK41s5lm9rqZHZBY1rBYf4aZDUurTVI6SghERCon7SME64GfuvvngIHAWWa2D3Ah8IS77wk8EccBjgH2jMMI4EYICQQwCjgEOBgYlUkipOX6/vfTjkBEpO1INSFw9w/c/ZX4+iPgLWAXYAgwNlYbC3w9vh4C3OrBi0BnM+sBHA1MdPdl7r4cmAgMqmBTREREWrS0jxBsYma9gf2Bl4Ad3f0DCEkDsEOstgswLzFbbSzLV55rPSPMbLKZTV68eHEpmyBNtGFD2hGIiEhVJARmth1wL/Bjd/+woao5yryB8s0L3Ue7+wB3H9C9e/fig5WSu/fetCMQEZHUEwIza0dIBsa5+32xeGE8FUD8uyiW1wK9ErP3BOY3UC4twJo1aUcgIiJpX2VgwC3AW+5+VWLSQ0DmSoFhwIOJ8tPj1QYDgZXxlMLfgaPMrEvsTHhULBMREZECbJXy+g8Fvg1MM7PXYtnFwBXAeDM7A5gLnBSnPQwcC8wEVgPfBXD3ZWZ2GfDPWO9Sd19WmSZIc3nOkzsiIlJJqSYE7v4suc//A3w1R30HzsqzrDHAmNJFJ5WihEBEJH2p9yEQueWW/NPWratcHCIibZkSAkndM8/kn3bbbZWLQ0SkLVNCIKlasKDh6XPnViYOEZG2TgmBpGbhQujRo+E6M2dWJhYRkbZOCYGk5oYbGq+jDociIpWhhEBERESUEEh10xECEZHKUEIgqbF8d6BIUEIgIlIZSghERERECYGIiIgoIZAUFXLKQEREKkMJgVQ19SEQEakMJQRS1TZuTDsCEZG2QQmBiIiIKCGQ6vb222lHICLSNighkNQsX954nddfL38cIiKihEBS9MEHaUcgIiIZSghERERECYGk5+GH045AREQylBBIalatKrzuBx/Ahg3li0VEpK0rOiEwYwczds0M5QhKJGnhQth5Z/iv/0o7EhGR1qvghMCMwWbMAGYB/wBmA4+UKS6RTW6/Pfy94YZ04xARac2KOUJwGTAQeMedPsBXgefKEpVIwnnnpR2BiEjrV0xCsM6dpcAWZmzhziSgf5niEhERkQraqoi6K8zYDngaGGfGImB9ecISyc1dT0kUESmHYo4QDAFWA+cCjwLvAseVIyiRfEaNgjvvTDsKEZHWp5iE4L/d2ejOenfGunMtcEG5AhPJ5bLLYOjQtKMQEWl9ikkIvpaj7JhSBdJWrFgBM2akHUXL96c/wfXXw7x54RTCXXelHZGIVLP582Ht2rSjqG6NJgRmnGnGNGBvM15PDLMAPXqmSIccAnvtlXYULd/w4XD22TBtWhi/8sp048llyZIwZLzzDkyYkF48TbVmTdoRiDTP2rWwyy7Qr1/akVS3Qo4Q3AEcDzwU/2aGA905rYyxtUrvvJN2BK3LqFHh72uvwZgxzVvW6tXw6adNm3fqVPjJT0Knx4zu3cOQsffecPzxsHIlLFrUvFgr5bnnoH17ePzxtCMRabpPPgl/9Tj1hjWaELiz0p3Z7pzizhzgE8CB7XSnwqZ7+eXSLu/KK+Hcc0u7zJZg8uS612ecAWPHQqdOsM8+hS/j5pvDaYdttw13RMx4/nl4443N67vXv+3yhx9C//7whz/AlCkwdy5cemnd9FtuqZ9odO4MO+4I11yTP6YlS+B//xdeeaXwdhTDHQYPhqeearje00+Hv6VMCG69Fd57r3TLq7Rjj4XrrmveMtzD6UOpjORtz3UL9Aa4e0ED+PHgM8A/Bp8FvhH8zULnr8QADALeBmYCFzZW/8ADD/RKefpp9x//2D18FIThjTfc//hH940bm7/8zDLvuKP5y6qU5LYo53Dmme533+3+wgthW19xhfttt7mvXeu+fv3m9RcsyB3f1Klhn33jG2H8wgvdTz21+fHtt1/d63vvdZ8zp/70tWvrb7e773Z/5pnc2/PSSwvb9hMm1C2/IYccEuqcdlphy3UP8W7YkH86uHftWvjyyu2mm9zPOMP9yScLq5+93W6/3X3p0uLWed11YRmTJhU3X5refDPtCIq3dq37Y4+5L1pUt9+mT087qnQBkz3fd2i+CZtVxKeCdwN/NY4fDj660PnLPQBbEi6F3B3YGpgK7NPQPJVMCBr7Uijl8h97zH3ZslA+d677q682f/nlUKmEoKUNHToUV/+xx8KXWWb82mvdly8P2/i++0JZ+/bhS2jmTPf5891/+MO6+uPG1X2BP/OMe02N+4wZm++j1avdR492HzOmsP2anchkT3/kkcbfIwsXuq9aFV4vWOC+ZEnD9d95x/2yy9yHDw/jq1e7r1u3eb0//jHEcMkl9du4YkXYRkmnnx6mPfhg/fhXrXK/8ca68YaSoKS1a+uvM/O/Wi5Ll4bt2FRz5oREFdzPPbd0cRVq7Fj3116rX/bss+5f/vLmdVetcl+zJrxet8797LND3L/4Rf1tfsMN+de3bJn7tGn1yzZurPufyq67enVRzfHp091ff724eUqpoYTAwvTGmTHZnQFmTAX2d2ejGS+7c3BJD1k0kZl9AbjE3Y+O4xcBuPtv8s0zYMAAn5w85tys9ZdkMSIiIpvcey9885ulW56ZTXH3AbmmtaY7Fe4CzEuM1wKHZFcysxHACIBddy1NF4h160qyGBERkXpOOCEc16iEYu9U+An171R4fDmCaqJcv9E324zuPtrdB7j7gO7JLuDN0K4d/Pa3JVmUiIjIJh9/XLl1FZwQuPOxOxs8cadCDw87qha1QK/EeE9gfqVWfv75DZ/p7dt383mGD6973dwzz0npnwUvPmap80iOh4pfeSX827/VL/vOd8I9LRYsgPWJY3XJbfzii9ClCzz8MMyZAxs3Qm0t/N//1dX/+OPC31eTJ8NbbzW+X3v1yj0teTStXO+rO+8M93toqM7UqXDFFZv3OM9V95ln4K9/DbEnt4l7uFS1Ke3p06f826GUw4YN4amjixZVft0bN4ahKfM+F5/Hm325Ydrbs5ihQ4fNPw/KJl/ngswA/hH4h/mGxuav1EA4/fEe0Ie6ToV9G5qnkp0KM5K72j10+svX+aopy504sfnLqpRy/ys99pj7AQfUdZBbtsz9k09Cb+kpU+qu7th55/rzTZ8epp1zjvuwYaHsxhvr4j7wwFA2dGj9KwQaGoYOzT/ts591/+AD96uuqnsvZKYNG7b5dlu/Pvf23LChuCtWzj/f/ZVXGq7z4IMhjmuuKXy5jfn449K850tp4cLCOwUm/3+bauTIsIzbb2/ecqQwH39ct98ynQ7bKkp0lcGl4D8C7wjeCfxM8J8VOn8lBuBY4B3C6YyRjdVPMyGYOrW0yx0/Piw3c8lcS1DqBGDo0OZ90XTpUtgH/YYN7r/+df0v5qlT3ffYo+4LOXNZWXJ5mfF27cLf55/P/wX+4YfFX8pWLm+9VZpLY1sLCFeCNMeaNeF/Vtu1ckqRyLUGDSUExVxl8JJ7/U56ucpaklJeZVCozNUIBW72Vq25V2b07QtnnRVuEnTkkbD//qWJqxSWLAl3KTzggHCzIgi3T501K9yxUFqud94Jp2FK1AVJKmT27HB6beDAtCNJV6muMthgxqnAXYADpwC655OkZtq06r3cs6YGbr8djjiirmzrrZUMtAZ6FknL1Lt3GCS/YhKCocA1cXDguVgmRfjwQ1i4MO0oWodqTQYyTj017QhERApXcELgzmzCpYc5mXGRO3lvAiRBx45hkKb70Y+gR4+0oxARaV2KOULQmJNACYGU1+GHw/XXpx2FiEjrU8yNiRpT5Qdwpdo05fra3yjlFBEpi1ImBOo3L0XZognvPl2dISJSHjpCIKlpSqdAPctcRKQ8SpkQ3F3CZUkbUOgRgpNOqnvdv395YhERaesKTgjMGGtG58R4FzPGZMbd+XWpg5PWrdAjBMlnPmy7bXliERFp64o5QtDPnRWZEXeWA1V0bzhpaQpNCD7zmfLGISIixV12uIUZXWIigBldi5xfpJ5CTxm4wymnwDbblDceEZG2rJgv9P8Bnjfjnjh+EnB56UOStqLQIwRbbw133FHeWERE2rpi7lR4qxmTgSMIVxR8051/lS0yafUKPULwhS+UNw4RESkgITCjkzsfxlMEC4A7EtO6urOsnAFK61XIEYIvfrH6n1kgItIaFHKE4A7gOGAK9W8+ZHF89zLEJQLA73+fdgQiIm1DowmBO8fFv33KH460JYX88tcVBiIilVHMfQieKKRMREREWp5C+hC0BzoANWZ0oe4WxZ2AncsYm7RyhRwh0LMLREQqo5A+BD8Afkz48p9CXULwIaAH0UqTqbOgiEj1KKQPwTXANWb8pzv/W4GYpI1QQiAiUj2KuXXxAjM6ApjxczPuM+OAMsUlIiIiFVRMQvALdz4y4zmbfJcAAA72SURBVN+Bo4GxwI3lCUvaAh0hEBGpHsUkBJkn0f8HcKM7DwJblz4kERERqbRiEoL3zbgZ+BbwsBnbFDm/SD06QiAiUj2K+UL/FvB3YFB8DHJX4PyyRCVtwu66x6WISNUoJiGoASYDa8zYFWgHTC9LVNImXF7AszJ79y57GCIiQnGPP/4b4dkFBrQH+gBvA33LEJe0AYce2nidLl3KH4eIiBT3+OP9kuPxksMflDwikehGXcMiIlIxTe4U6M4rwEEljEWknh/+MO0IRETajoKPEJjxk8ToFsABwOKSRyQiIiIVV0wfgo6J1+sJfQruLW04IiIikoZi+hD8EiDevtjdWVW2qERERKSiCu5DYMa+ZrwKvAG8acYUM/Zt6orN7HdmNt3MXjez+82sc2LaRWY208zeNrOjE+WDYtlMM7swUd7HzF4ysxlm9hcz0x0URUREilBMp8LRwE/c2c2d3YCfxrKmmgjs6+79gHeAiwDMbB/gZMLljIOAG8xsSzPbkvC45WOAfYBTYl2AK4E/uPuewHLgjGbEJRX07/+edgQiIgLFJQTbujMpM+LOU8C2TV2xuz/m7uvj6ItAz/h6CHCXu69x91nATODgOMx09/fcfS1wFzDEzAw4Argnzj8W+HpT45LKeuABePDBtKMQEZFiEoL3zPiFGb3j8HNgVoniGA48El/vAsxLTKuNZfnKuwErEslFpjwnMxthZpPNbPLixbpIIm3dusHgwWlHISIixSQEw4HuwH1xqAG+29AMZva4mb2RYxiSqDOScNXCuExRjkV5E8pzcvfR7j7A3Qd07969ofBFRETajGKuMlgO/FcxC3f3IxuabmbDgOOAr7p75ku8FuiVqNYTmB9f5ypfAnQ2s63iUYJkfRERESlAMVcZTDQjcSUAXcz4e1NXbGaDgAuAwe6+OjHpIeBkM9vGzPoAewIvA/8E9oxXFGxN6Hj4UEwkJgEnxvmHATorLSIiUoSinnYYH3sMbDpisEMz1n0d4WZHE83sNTO7KSzX3wTGA/8CHgXOcvcN8df/2YRHML8FjI91ISQWPzGzmYQ+Bbc0Iy4REZE2p5g7FW40Y1d35gKY0ZsGztU3xt33aGDa5cBmD8d194eBh3OUv0e4CkFERESaoJiEYCTwrBn/iOOHASNKH5KIiIhUWjGdCh81YwAhCXiNcJ7+k3IFJm3bzTenHYGISNtSzNMOvwecQ+jF/xowEHiBcFMgkZIaoWNPIiIVVUynwnOAg4A57hwO7I8efywiItIqFJMQfOrOpwBmbOPOdGDv8oQlIiIilVRMp8LaeB+CB4CJZixHNwASERFpFYrpVPiN+PISMyYB2xPuEyAiIiItXDFHCDZx33TpoYiIiLQCxfQhEBERkVZKCYGIiIgoIRARERElBCIiIoISAhEREUEJgYiIiKCEQKrEo7qjhYhIqpQQSFU4+ui0IxARaduUEIiIiIgSAhEREVFCICIiIighEBEREZQQiIiICEoIREREBCUEIiIighICERERQQmBiIiIoIRAREREUEIgIiIiKCEQERERlBBIFenfP+0IRETaLiUEUjX22CPtCERE2i4lBCIiIpJ+QmBm55mZm1lNHDczu9bMZprZ62Z2QKLuMDObEYdhifIDzWxanOdaM7M02iLNo70mIpKeVBMCM+sFfA2Ymyg+BtgzDiOAG2PdrsAo4BDgYGCUmXWJ89wY62bmG1SJ+EVERFqLtI8Q/AH4GeCJsiHArR68CHQ2sx7A0cBEd1/m7suBicCgOK2Tu7/g7g7cCny9ss0QERFp2VJLCMxsMPC+u0/NmrQLMC8xXhvLGiqvzVGeb70jzGyymU1evHhxM1ogIiLSemxVzoWb2ePATjkmjQQuBo7KNVuOMm9CeU7uPhoYDTBgwIC89URERNqSsiYE7n5krnIz2w/oA0yN/f96Aq+Y2cGEX/i9EtV7AvNj+Veyyp+K5T1z1JcWRp0KRUTSk8opA3ef5u47uHtvd+9N+FI/wN0XAA8Bp8erDQYCK939A+DvwFFm1iV2JjwK+Huc9pGZDYxXF5wOPJhGu0RERFqqsh4haKKHgWOBmcBq4LsA7r7MzC4D/hnrXeruy+LrM4E/A58BHomDiIiIFKgqEoJ4lCDz2oGz8tQbA4zJUT4Z2Ldc8YmIiLR2aV92KCIiIlVACYFUjS30bhQRSY0+gqVq7Ldf+HvKKenGISLSFikhkKqRuexw113TjUNEpC1SQiBVQ/chEBFJjxICERERUUIgIiIiSgikCrmeMCEiUnFKCKRqqA+BiEh6lBCIiIiIEgIRERFRQiAiIiIoIZAqpE6FIiKVp4RAqoY6FYqIpEcJgYiIiCghEBERESUEIiIighICERERQQmBVCFdZSAiUnlKCKRq6CoDEZH0KCEQERERJQQiIiKihEBERERQQiAiIiIoIZAqpKsMREQqTwmBVA1dZSAikh4lBCIiIqKEQERERJQQiIiICEoIpIpsvXX4265dunGIiLRFW6UdgEjGD34AtbUwcmTakYiItD1KCKRqbLMN/Pa3aUchItI2pXrKwMz+08zeNrM3zey3ifKLzGxmnHZ0onxQLJtpZhcmyvuY2UtmNsPM/mJmW1e6LSIiIi1ZagmBmR0ODAH6uXtf4PexfB/gZKAvMAi4wcy2NLMtgeuBY4B9gFNiXYArgT+4+57AcuCMijZGRESkhUvzCMGZwBXuvgbA3RfF8iHAXe6+xt1nATOBg+Mw093fc/e1wF3AEDMz4Ajgnjj/WODrFWyHiIhIi5dmQrAX8KV4qP8fZnZQLN8FmJeoVxvL8pV3A1a4+/qs8pzMbISZTTazyYsXLy5RU0RERFq2snYqNLPHgZ1yTBoZ190FGAgcBIw3s92BXDewdXInL95A/ZzcfTQwGmDAgAG6a76IiAhlTgjc/ch808zsTOA+d3fgZTPbCNQQfuH3SlTtCcyPr3OVLwE6m9lW8ShBsr6IiIgUIM1TBg8Qzv1jZnsBWxO+3B8CTjazbcysD7An8DLwT2DPeEXB1oSOhw/FhGIScGJc7jDgwYq2REREpIVL8z4EY4AxZvYGsBYYFr/c3zSz8cC/gPXAWe6+AcDMzgb+DmwJjHH3N+OyLgDuMrNfAa8Ct1S2KSIiIi2beRt++LyZLQbmlHCRNYSjHK2N2tWyqF0tS2ttF7TetrXkdu3m7t1zTWjTCUGpmdlkdx+Qdhylpna1LGpXy9Ja2wWtt22ttV16uJGIiIgoIRARERElBKU2Ou0AykTtalnUrpaltbYLWm/bWmW71IdAREREdIRARERElBCIiIgISghKwswGmdnbZjbTzC5MO55czKyXmU0ys7fM7E0zOyeWdzWziWY2I/7tEsvNzK6NbXrdzA5ILGtYrD/DzIYlyg80s2lxnmvjkygr1b4tzexVM5sQx/vEB2fNMLO/xLtbEu+A+ZcY40tm1juxjIti+dtmdnSiPJX9a2adzeweM5se99sXWsP+MrNz43vwDTO708zat9T9ZWZjzGxRvMFapqzs+yjfOsrcrt/F9+LrZna/mXVOTCtqXzRlf5erXYlp55mZm1lNHG8x+6tk3F1DMwbCXRPfBXYn3H55KrBP2nHliLMHcEB83RF4B9gH+C1wYSy/ELgyvj4WeITw8KiBwEuxvCvwXvzbJb7uEqe9DHwhzvMIcEwF2/cT4A5gQhwfD5wcX98EnBlf/wi4Kb4+GfhLfL1P3HfbAH3iPt0yzf1LeJT39+LrrYHOLX1/EZ5EOgv4TGI/fael7i/gMOAA4I1EWdn3Ub51lLldRwFbxddXJtpV9L4odn+Xs12xvBfhLrhzgJqWtr9Ktn3SDqClD3Hn/z0xfhFwUdpxFRD3g8DXgLeBHrGsB/B2fH0zcEqi/ttx+inAzYnym2NZD2B6orxevTK3pSfwBOHZGBPiP+OSxIfXpn0U/+m/EF9vFetZ9n7L1Etr/wKdCF+cllXeovcXdY8x7xq3/wTg6Ja8v4De1P/iLPs+yreOcrYra9o3gHG5tnFj+6Ip/5/lbhdwD/B5YDZ1CUGL2l+lGHTKoPkyH3AZtbGsasXDcPsDLwE7uvsHAPHvDrFavnY1VF6bo7wSrgZ+BmyM492AFR6efpkdy6b44/SVsX6x7S233YHFwJ8snAr5o5ltSwvfX+7+PvB7YC7wAWH7T6Hl76+kSuyjfOuolOGEX8BQfLua8v9ZNmY2GHjf3admTWpN+6sgSgiaL9d516q9ltPMtgPuBX7s7h82VDVHmTehvKzM7DhgkbtPSRY3EEuLaBfh19EBwI3uvj/wMeFQYz4tol3x3OkQwqHlnYFtgWMaiKVFtKtAraItZjaS8OC5cZmiHNWa2q6KttnMOgAjgf/ONTlPLC1qfxVDCUHz1RLOP2X0BOanFEuDzKwdIRkY5+73xeKFZtYjTu8BLIrl+drVUHnPHOXldigw2MxmA3cRThtcDXQ2s8zTPJOxbIo/Tt8eWEbx7S23WqDW3V+K4/cQEoSWvr+OBGa5+2J3XwfcB3yRlr+/kiqxj/Kto6xiB7rjgFM9Hv+m+HYtofj9XS7/RkhOp8bPkJ7AK2a2UwPxt5j9VbS0z1m09IHwS+49wpsq03Gmb9px5YjTgFuBq7PKf0f9zi6/ja//g/odal6O5V0J57a7xGEW0DVO+2esm+lQc2yF2/gV6joV3k39Tks/iq/Pon6npfHxdV/qd4x6j9ApKrX9CzwD7B1fXxL3VYveX8AhwJtAh7jescB/tuT9xeZ9CMq+j/Kto8ztGkR4LH33rHpF74ti93c525U1bTZ1fQha1P4qybZJO4DWMBB6o75D6FE7Mu148sT474TDV68Dr8XhWML5uSeAGfFv5o1twPWxTdOAAYllDQdmxuG7ifIBwBtxnusocWegAtr4FeoSgt0JPX5nxg+fbWJ5+zg+M07fPTH/yBj72yR63Ke1f4H+wOS4zx6IHz4tfn8BvwSmx3XfRvgiaZH7C7iT0BdiHeEX4hmV2Ef51lHmds0knDvPfH7c1NR90ZT9Xa52ZU2fTV1C0GL2V6kG3bpYRERE1IdARERElBCIiIgISghEREQEJQQiIiKCEgIRERFBCYGIiIighEBERESA/w9MGm0azc7CYgAAAABJRU5ErkJggg==\n",
      "text/plain": [
       "<Figure size 576x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 576x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 576x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 576x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 576x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 576x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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MmTNp164dt9xyCwMGDOCSSy6hffv2nHfeeQDssMMOPPLII3Tv3p2jjjqKxsZG1q5dy0UXXcSCBQuYN28egwYNolu3bkyaNGl9Gy7dunXjzjvv5Morr0REGDBgAGPGjAks86xZszj22GNZs2YNgwcPXp++cuVKhg4dytKlS1m9ejV/+MMfGDp0KBdccAH/+9//2Gmnndh///25+OKLA4crlQV9Y4wxVe22226jS5cufPnll+yyyy4MHTqUn/zkJ0yePJk+ffqwZMkSAC6++GIGDhzIgw8+yMSJEznxxBN5I89RyoQJE9hss8149NFHAVi+fDmdOnXi6quvZtKkSXTr1i1j+HfeeYdLL72U559/nm7duq2fbpCzzz6b008/nRNPPJEbbrhhfXrbtm0ZP348HTt2ZNGiRey2224ccsghXHbZZUybNm19edesWRM4XKlvUljQN8YYE0qhM/Jyue666xg/fjwAc+bM4ZZbbmHvvfdeXyFNly5dAHjuuee4//77Adhnn31YvHgxy5cvz5nvjjvuyHnnnceIESM46KCD2GuvvfKWY+LEiRxxxBHrDwZS0w3y/PPPry/LCSecwIgRIwBXoc7IkSOZPHkyLVq0YO7cuSxYsKDJ+LmG23TTTfOWsRC7p2+MMaZqPf300zz55JO8+OKLvPnmmwwcOJBvfetbgWe8rtLWTCJCq1atWLdu3fq0VGU2/fr1Y+rUqey4445ceOGF/O53v8tbFlWNdKYdNOzYsWNZuHAhU6dO5Y033mCTTTYJrFwn7HBRWdA3xhhTtZYvX87GG29Mu3bteP/993nppZf46quveOaZZ5g1axbA+svse++9N2PHjgXcwUK3bt3o2LEjvXv35rXXXgPgtddeWz/evHnzaNeuHccffzznnXfe+mE6dOjAihUrmpRl3333Zdy4cSxevDhjukH23HNP7rnnHoD1ZUrNT48ePWjdujWTJk3iI+91p+xp5hquVHZ53xhjTNUaPHgwf/vb3xgwYADbbrstu+22G927d+eWW27hsMMOY926dfTo0YMnnniCSy65hFNOOYUBAwbQrl07Ro8eDcDhhx/OnXfeyU477cQuu+xCv379AHj77bc5//zzadGiBa1bt+amm24CYPjw4QwZMoSePXsyadKk9WXp378/o0aN4nvf+x4tW7Zk4MCB3HHHHYHlvvbaazn22GO59tprOfzww9enH3fccRx88ME0NDSw00478c1vfhOArl27sueee7LDDjswZMgQRowYEThcqSTockhz0tDQoFOmTEm6GHVh/nzYbDP3vZmvVsbUjffee4/tttsu6WKYPIKWkYhMVdWG7GHt8r4xxhhTJ+zyvjHGGFOkSy+9lHvvvTcj7cgjj2TUqFEJlSg/C/rGGGPyivrUej0ZNWpUogE+6i16u7xvTJ0QAa9CMmNCa9u2LYsXL44cXEz5qSqLFy+mbdu2ocexB/lMbOxBvuqWOlGzZWOiWL16NY2NjbG8I27i17ZtW3r16kXr1q0z0nM9yGeX940xxuTUunXr9TXfmdpnl/eNMcaYOmFB3xhjjKkTFvSNMcaYOmFB3xhjjKkTFvSNMaYC5s+3NydM8izoG2NMmb33nnud9brrki6JqXcW9E1s7CzGmGAzZrjPJ59MthzGWNA3sZkzJ+kSGGOMyceCvonN1KlJl8AYU2mffw4ffph0KUxYFvSNqQNr1yZdAtNcDRsG/folXQoTlgV9Y+rAhRcmXQLTXNlzCrXFgr4xdeCxx5IuQX0bN859TpuWbDmMsaBvjDFl9tBD7nP27ESLUVapNxRMdbOgb2KTarrVVB97ndKU2/z5SZfAhGFB3xhjyswOuky1sKBvTB2wqzCm3OzApjYkHvRF5DYR+VREpvnSuojIEyLyofe5sZcuInKdiMwQkbdEZOfkSm6MMSbFgn5tSDzoA3cAg7PSLgCeUtW+wFPeb4AhQF+vGw7cVKEyGmNM0b76KukSGOMkHvRVdTKwJCt5KDDa+z4aGOZLv1Odl4DOItKzMiU1hdgl5OplyyZZX3+ddAnKz870a0PiQT+HTVR1PoD32cNL3xzw1/De6KVlEJHhIjJFRKYsXLiw7IU1ptrZDtmUm61jtaFag34uQecrTVY1Vb1FVRtUtaF79+4VKJYB2+iNMabaVWvQX5C6bO99fuqlNwJb+IbrBcyrcNlMCBdcYAcBxtQT295rQ7UG/YeAk7zvJwH/9qWf6D3FvxuwPHUbwCTPf9/48suthq5q8tlnSZfAGFMNEg/6InI38CKwrYg0ishpwGXA/iLyIbC/9xvgMWAmMAP4O/DzBIpsTM1ZuTLpEpjm7uWXky6BCaNV0gVQ1WNy9No3YFgFzihviYwxxkR1663WmmMtSPxM3xhjjDGVYUHflI092GNM9bv3Xli+vPR8rC6I2mBB38Qme6M/6aTg4Ywx1eHdd+Goo+DUU5MuiakUC/qmbF56KekSmCQsX25vbtSK1AOec+bkH840Hxb0TWzscr4B2HVX6Ns36VKYMGybrT8W9I0xsfrgg/jy6tcPDjkkvvxMMLsfn9uf/+z+n7Vrky5JPCzom9jYjqM2TJiQdAnC+/BDePjhwsN98QWcdhrMs/o5I7Ez/cJ+/Wv3uWZNsuWIiwV9ExsL+rVhyJCkSxC/Bx+E226Dyy4rPKxp6pVXki5B9WpuB0YW9E1smtvGYWpHqunaWqhu+K23ki5BWi1us7/5DfToUXi4uKT+o+ZyUmNBvxn74gtYtCjpUphq0Fx2WLnUUvC6996kS1AelVoGv/895GoxXRU+/jje6aUu6994Y7z5JsWCfjPW0ADWsrBJSiXvr99+u/t84YXKTbM5iPOkYOZMmJ9w82d/+QtstRVMmxZ/3n/8Y/x5JsGCfjP23nuVnV7Q2eTjj8d/5F1JP/mJPT1erE8/LTxMXJ57zn1++GHlptkcxL1uX3xxvPlF9fTT7nPmzPjzznV1odZY0DdldeCB8K1vJV2K4t16a7inx01TtXTJvZKefDLpEpTP3/+e3LSnT7dtNQwL+jF6+2348sukS1F9li1LugQmCc8+W9r4UQ4aaumZBaupMh7XXZf5+8EH09/tgDM3C/oxWbYMBgyAk08uT/4vvgizZpWejyqMG9d8Kpow1ev110sbv7kG/Wr17rtJlyCas8/O/P2b3yRTjlpjQT8mX3zhPks9uwny2muwxx6w9dal53XXXXD00XD11aXnlfLSS/Doo/HlZ+KXRFAs1zSXLHF5//Of6TQ7syvdJ58kXYLS2DoQjgX9mKR2cOVY8U48Mb68Uhv2yy/Hl+fuu8NBB9nZVjWrxaCfa1tKPayXfXm3Fs2dWz23v2o9aPrLX43zsnRpddQYaUE/Jqkd3Lp18eeduooQh1T57r8/vjzr2f7723+ZS7mCfnOqLKVXL9h226RL4VRjoCxWNc7LllvC5ps3Tb/++nhP7AqxoB+Tcgb9OGsZ828MK1fCQw+5si9ZEt806smTT8IRRyRdisKS2Al+9VV8eZ13Xvr77ru7T3/Q9293lZzXRx4p/V54JV9tzCfO/0218nXVl1r+tWvLu+6kmjHO9otfwJgx5ZtuNgv6MUntgMpRA97ixfHl5d85zpnjWpACeOed+KYRxZIlrv31alfqQ2lJSyLo+++5F8Nf5quuato/1y2qb36ztOlGcfDB0L9/5aZXK045BVq3ruw0oz6c/MADMH58+nerVnDqqfGWqRpZ0I+J/6wj1xFdUlasSH/370jjOBN74on092Iut3btCp07l16Ocqv116zq6UpOnE37Vrs//QmuuCKevOI8MBw92n1OnhxfnlGEOeA8/HA47LDMtDvuKEtxQlm6tDLTsaAfE3/AO/ro5MoRZNiw9Pc5c9Lff/jD9PdiN3h/HpMmFZdHEubOdbc2yu3992HixPJPJy6ffAIHHFAd90SroQz5TJlS/LhPPx1PnR4jR8KIEaXnA+XZHs48M/48/XLVwPjAA+Wdbjncc09lpmNBPyb+oP/YY+HH++ord0lJJHgnl2o9LOXgg6OXzR90/M8HzJtX+sNQq1env991V7Rxk7wisvvuMHRo+OGDHqYM8/zGdtvBvvuGn07SevaE//7X1WGetDBBP3v7qKSbbip+3EGDoLExd/9Fiyp/T7wc1WWH2b+sWJH7YeUJE/LXstevX3HlqkYtKhSNLejHpNjgud9+6cZCgtoCz94YHnmkuOmk5Cpnuc+qgg5WOnQo7zTz8V/xCCMowPvbIG8u9XKn+G/bVLNSq3394ovim7ot9fmdXNvc55+7hrLOOqu0/KOK+hDya6+5timy+Q9WwuxXOnaELbYI7jdkSLj2AUq5pXPffbn7bbll5u9yPKidYkG/xhQb9FMNhYC7VJctaEXw36MvVaVeeyr1YCWfiROjvf/qv/QX9mAn6GzDv3Mr1L53nK9dVsKECUmXoOmyUXU1U/qVeqZ/3HGubYhi3pAp9UDZ/5rW3Lnp76krYJV+FTTVWE1YDQ2ubYpsP/95+vvbb4fLq9AzJ4WePyrltccjj3S34bJ9+mnTk4M4akXNVQlSpfbFFvRjUq4FFhT099qr+Pyyg2Nqx3XzzcXnWYxcO8zvftf9l1EeMtx33+D3X4NMmeIe4EkJe+Tur2lx7Vq3Y46yzCtxqXbVqvD/m7+Z0DDj3Xtv9KAAcPnl0cdJyV5HHnrI1Uzp57+9VIxUfe3FXKkp9czM//ZBr17pg/nUU+hBr/Ldc49b78pxZenzz93/KZJ+qyefXNtwXI3u+ANsvu0017MR558fflrbbdc0La4D33vuybyalOu24muvxTO9QiKvtiL0EGHLVFeOQtWi7AAwbx6cfnr0nVL2ffGgHcubb0bL0y/XinX33eV/de7HP07XPvbGG8HDPP+8+wx7v3/BgsLDXHQRTJ3qvmfXflbMDuqUU9ytiShB3/9qULlsuCG0bRtu2FGj0kGlUyfYaKP883PUUe4+9D/+0bTfnDm5a5W74AJ3wPSnP4UrVz5BTzePGAEvvNA0fdo01y/s2Xi+++u5vPpq9HHyOfdc95mvzoG//tV9Tp8e77RTUttluduOT7UB4p/X7HXohBPS3/MdYOW6SnDllbnHyXcQkboqF3RGfvfduccL8sQTcMwxmS2NvvJKcJlbtYqWd9FUNVQHegjoh6Cfg84CXQf6Ttjxk+q+/e1vayW8/baqW5WbdkHmzFF95ZXg4R97LD3cl1+GzzNb9vCLFuUuI6guXRp9vvPlF9SdfbYb7+WXM9O/+iozvyVLwk3/F7/I/58sW5bZ/7//DS7X888Xnr/stBdeyL9Mrr8+/DJ79lnVhQsLz28+qemsW5d/PlLd66/n7ucv75135p8PUO3RI/+0wq6zfp9/njn+6NHR17dPP22a7wknqF51VWZZn346evn809l11/DD5uqGDm2a9vjjmfnsvnvm+lrsfxumXCmLFwf/P2GXwYwZTccdPtz122+/9HDHH585zM47N90/BE139uzc0+7fPzPPq65Sfest1a+/Ljzv/n2Lv5s7t/T/179/S6X98pfh8w03baaoBsTyoMTAAdE3QbuCvu79HgR6S9jxk+rKFfS//jrzd6EVKLXS/uxnhTeSq65yO25QPf/8/BtkyvPPuw1z3To3rauuyhz+t78tPN1lywrP96mnqvbtG26+8/0f2UE/zI4iiH+coGD3t79lTveRR4Knt/32hfNXTS8XUN1rr8z+q1a59SJXcLrnnvTy8fMfjJUilce4ca4cf/lLej3N9T+/+WbufjfdFLxzXLPGHaDceKPqFVek01evVl27Nnd+Qcsnn5UrM8c/+eTo69qCBa5c22+v+vHHmf+F//tTT+Uux/33q773XuFtPsyyidplB63vfCe4/P/4h5vPqAptp6qqu+wSvI8IOw/XXec+d9stvQ507950uBNOyCybf7pPPJEeN+p/uP/+7gDcvy/IdTLln/czzgju16JFZjmffTb3+pMr/6D/8fzzoy+/fOII+lO8zzdBW3jfXwk7flJdOYL+W2+5f+7661W/+MKl5VuBfv9793nzzeFW0r/8xe1Y8w1z6qmq776bLlMq/eijo28Uqe5b33LT/fxz1fnzg+c9NWyhYJKvu/XW3G4Ei0sAACAASURBVFc5Ut3226ueeabbwPIFC/84xx7rzkpy9V+2zO0A8m3o+fKfPl114sTC89e1a+5+F1zgPhcvVv3Xv1Rvu83tsPOVIaxUHu3bq15+uft+3XXFL6d88zdoUHC/H/wg93iDB6fLOm+eW8+CHHKI6p//rPrii6WX9de/brqMU9/9B3D5/nv/MI2Nwemg+sYb4fKI2vm3xX790ulz5oRbh/PJN92gfdtrr7m0+fPDl3/bbdPfDzrIHRgGBX1wJy6ffOKm4T/AgfRVwjjW4eyrSNndU0+pnn567v6p7XjXXdNp//2v6rBhbh9a6P89+uimw1x4YfTll3/Zlh70nwRtD/pX0LtBrwV9Iez4SXXlCPr+nfRuu7m0OFZEfzdwYLjhRo9uuvOKs7vyStWOHVUPOywzPfvyaNTud78LP+yYMW5nMWiQ6uTJ7uz0hhtyD3/qqaqTJkUv3xVXuLPutWtVDz5Y9Zprmg5z3HHx/K+/+lXufg8/rLr33qrvv9903Vu1SvWZZ9xOac0a1Zkz01dF/Hl8+9vp7/5bHEl3Eye6bQbS245flGBSTDd1avr7jTdm9nvlleBbXNl5PPGE6j77BOf/8svB+4xSyx01n2efdcOfcILqAw+kr3KsW6f65JNuHQ+TX+qEJdVdeWXp+5vDDy88zIgRwemDB8ezHrRrV971LHU7JN8wK1Zk/r7oouB1p1hxBP2NQFuAtgI9CfQs0C5hx0+qK0fQz154PXqUdwWyrrLd1VcnXwZQPfRQd0bwxz8mX5ZydWedlXwZsrtvfEP1r3+NJ682bVTvuKP0fPr0cVe9Ss3n0EOT/3/rpbvwwmjDX3JJ3HEqOOiL61eYCJerMqJQWrVpaGjQKaXUl+mjWrkKFIwxxtSPP/zBvVUTFxGZqqoN2elRQtj+AWlDii9S7QmqwMEYY4wpVaVaJSwY9EU4XYS3gW1FeMvXzQKKrMCyNCIyWESmi8gMEbmgUtOtdFORxhhj6kOl3tMPM5m7gMeBPwH+ALtClYo32CkiLYEbcFceGoFXReQhVX233NOuVNOHxhhj6kvLlpWZTsEzfVWWqzJblWNU+Qj4ElCgfUI18u0KzFDVmar6NXAPEKG9tOK1a1eJqRhjjKk3lTrTD31PX4SDRfgQmAU8A8zGXQGotM0BfzMIjV7aeiIyXESmiMiUhTFWUt2mTWxZGWOMMetVXdAH/gDsBnygSh9gX+D5spQqv6AawjNeQVDVW1S1QVUbunfvHtuEe/aMLStjjDFmvWoM+qtVWQy0EKGFKpOAncpUrnwaAX/ry72ACA2rFm+jjYIbHDGmkr73vaRLYGrVppu6zx//ONlymKaq5ul9n2UitAcmA2NFuBaoQIOhTbwK9BWRPiKyAfAj4KFKTfzUU937+n6VahIxl1/+Mr68Dj0087e/papjj83s98wz8U03rC++aPr/B3n4YZg/PzNt0CA48MD84+29t2vh7/nnc7cEWE6dOsHrr7tyzp4Nkye7plb91Xg8/TT07euGf/dd6NLFNYuaS1ATreXyn/+EH/add9z8fPhh+coTxciR8NlnrkzXXefSjjii6XCp1vCCLFqUuawOOKD0cqnCo4+GG/anP01/v+46N+4uu7jfAwbASy+5tL//vfB2NGoU7LhjZtpNN7n18vrrQxc/Vv7miMut0L4inw8+CLef8qvY22FBNfYEdbga+VqSWSNf17Djx9kBBwIfAP8DRuUbtpyt7H3+uau2VTVcjUu33Ra+dqaPP1Y98cTcDcS0a5dZx/OKFa4+908/Lb4GKXB5Pfecq5UMXL6TJ7uy++dz4sTw8x3U+RtqKdQNHKh61FGZLVP961/Bw/7qV6rLl6eH8/f7+uv8jbYE8ff/+9+bVksa1L33nuqRRwb389f9H9SYzUsvRV/3sst6442ZDS6VspxydUH/46uv5p/W/ferjh2reumlrox+J5zghrn99vjLmuqmTs1sJMlf1uHDm/7HH3/sqpy95hrViy92db+vWuX6BbWNcfPNTfNYtco1+lNKuXOtj9ndNde4YVLtWvj3D7kUmu5HH2WmpRqKef314uZl2TK3HW+1Vf7hJk5UPfDA4DLFsS5Mn56//913qz74YO7+xx7ryujf315/vWtTwt8wU75pzJ2b+fveewsvrygotRreWu0q1bRuy5a5F+6cOa7FMn8LZPfdl3v4jz5K55ur3vRU3dlBbr216fBh6l9/5pnMfPI10Zr9O0qXapgkO93f7K2/6tlcDe6sW9e0TYDsYbN3GLkacQlqgjVo/CVL0r/vuqtpPqnmaoPm77773IHZmWe6AylVFyj9dfyH2VHn4v8P7r/ffd955+CylNpl/48dOuSe7+x1Jhd/K2rHHx9PmxLr1jVdJ444wtWd7y/rzJnF/9+pZRt22FxdrhY4g/I59NDM9W+zzaKXv1C5UrbYIp3mb8mvmOWRMnKk+73DDul+q1a57XDMGDfMD3+YOe7ttxc/XZHM/eKqVYXLmS/o+w0b5tIeeKDp/3vQQcHjpxpLe+ihdNr48cUtw1yKDvqgK0A/y9UVGj/prlJB/403cq8gK1akhxszRrVbt/TOvdAKlavd50Kyh1+7VvWUU/Kv6LlaPfO77LLMJiCjbnyHHx48bqtWmWmLF6u+847qrFnR5jXbmjWuedLU0ferrwaXK/usOV/eqd/ZTb/mGzffMvO3llYKfx6pncmhhwaXJdXNnJm737BhbkeWPczvf5+e5ty57iqQvyW4MDvKqPME7uwq7HrWr5+7qhI2///9L3rZ/O2tZze7m28+cnXvv9807bvfDc4n1bBP6neug9ZC8pUnZepU1d13T7e6l9KzZ7j5SjVje8wx6XHHjk2n5Vo/Dj44//aX6oYPzz3tgQNVd9zRXTFVdVdv3norXNO648cH93vwwcxyrl2r+vjjuU9OgvIIOngqdhnmUvKZPujvQH8O2gG0I+jpoP8XdvykukoF/aVLMxfq2LGqnToFr8x+2SvDWWcVHibMDvSzz4KHz272dcCA8HmGKX+h7oorgsdNbTB/+EP0hidSeaQOHPJZu1b13HPT4xx6qAtuYTbY7LRCTbP6+x1xRP5yTZqUeVuiGP5yrF7t1qVUMA5aFqlmYgvt9P3DdOwYvhxR19lCeQW1egjp9tr93eOPR8u/mDP9CRPCz1tQubt0yfz91VdNh1m4MDOf44936anmZ0v5b3OVK2yem20WbpsPMmaM6+dvtTLbpZfm3/786UEHTIXmIVd5U7d6cgX9qMJuW3GLI+i/HCat2rpKBf2gIPv119HPAIKGzx6mR49wZQpaybp1y0xPBf3U/diowmz02Tu2fOUrpQzTp0cfx3/EnW84fxk/+MAd1Plv1wTNQ5s26X7+5xHK5dVXVR99NLhfvh1PmJ31+PEu4KxcWbgcxQaRQnkFBf2OHd0yzE6fMCFa/sUEff/4UeYj1Y0b1/T/+fJLd0adK9916zLPuEvdfrLL1NjoPsMcQPfqFW6bD/LYY67fqFG5h/Pf4vO3NR9lPQ477wcckP5+3nmuf7mCft++wf3jlivoR3l6f60Ix4nQUoQWIhwHrI3ticIaF9T6XuvW0Z/IDDP83ntHy9Nvu+2C0yv1jugGG5Qn3z33hH79oo+3bl30cfr2bfomQ5AZM9LfN944+nSiamgI/8TxoEFN037zm9zDDxsGY8a411ajOvFEuPji6ONlO/LIpmnLlwevuxJUm0eV8c/Pcce5z7Zt0/uSoG1FBDbcsHxl2mQT98T+gw8WHvb73w9OP+SQwuMOHgwPPJB/vfBvm7/6VfAw/u0q+02De+8tXI6Uf/0r/f2gg9ynatPhwsxbIUm31Bpl8scCRwELvO5IL81QuXqTIXhlDCtoxwnl30l+61uwYEFmWqdO8eT9wQcwYUJx48a1AY4f3zStV6948i4H/ytgV17pmvX87W/LM63Ro+GSS0rPZ7PNwg8bdFATZCevppGkd8RXXZX+ntoWO3eufDlatYK33oIf/rDwsLfe6l67zHbXXYXHFXGvB+c7yfHv53Itn298I/19wIDMfgcfXLgc4A4c/PuiVF0GQe65J1yefitXwvTp6d9hDqjKKfSqrq7+/aGqdFOluyrDVJmd6i/ChWUpYY3wr5QdO4Yfb+pU2HnnaNM64YRow/v5dyTDhhWfT9SyDB0KPXpkpqXeo486/9n69oX27aON8/LL7p3juK5wxPFfVpL/bPHcc9PteO+5p/vcMqZWNZ54Ip58Ut5+O9xwYa+wPfww/OUvsNVWxZcpDptskv6+wQZw443wwguFx/vii/x1NJRTmzaw/fbB6SlnnVV8/qmg36mTq4siSL6TlbDVpn/wQebvfFcMi7nKstFGmXl+85vR84hTnMe3Oc4h64P/TL9bt/Dj7byzCz4Qrprf++93ATSKE09Mf/dfMjzvPHdJGIo/q8i1MWbbZpumaRtu6DbsqVOLm3Ypdt0Vfvaz8MPvv3/TtDBXXC69FHbbLfx0knbXXW5nGbYymEL22y+efFJ22CE43b9eBwWiXHr1gnPOKa1MxVi2LH//00/PPIvNZcMNq68hMP+BdCkV3KT2GddeW1p5CsneX6cOJPbaq7zTTUqcQb8G7qKVj/9Mf9y4aOOmzkpybeT+e2eHHRYtb8g8w84OVDfcAK+8UvyZTtjbGscfX1z+1WLIkKZpqf8y36XhkSPhxRfLU6Zy2HJLWLUqd3BNyrbb5u9/0UXp78U8p1FpqcvJv/wl/PvfyZYlJcZmStYr5bbhj34Ezz6bedKSzX8vPuwJSMr//R/cd19mWteu6e9RTt5K8cknTa82lFOcQb+EO821z79yf/vb0cbdaSd3z/Puu4P7b7110cUCMh92yQ76bdumq+kshv8KwVFHNe2///4wbVptPFgVVSrY56uW1cSj0A7df/BZyjMvUd1+uwtMUfir9r366ngeDovDmDFJlyCTCHz3u/n3HX36pL9HDdKXXw6HH57+vXAhNDZGyyMOm2ySrla7EuJ8ZrsZ7taj23ff6OOI5H+KtdSAef756e9xnwXtv7976nuHHYLLec450L9/vNNMQtC8tWhR2QBTzwo9s+FfDpU80z/55OjjlPJMTjmV482aMPuuSZMq83ZLIZU6s09anGf6EV6QaJ5U4ckny5NvKfwPNcUdpFL5bbRR8zybT4l66dC4xqniUmjd8vcPev7CBPPfOizH9hsmz+9/373dU41q7QHdMEIHfRFGi9DZ93tjEW5L/Vblj3EXzsTP/9BP2Kdb80kFfZHmHfSTfqWrFsX5n/nvtab460rwr3vXXBPfdJs7/zKKY3ntsUfm77CvTlaroFdxa12Uy/sDVFn/zKkqS0UYWIYymSxxBtNhw9zl+Pbtoz97EMQf9IN2Gs3lQMAu4ycr9YaLn/9+rl/FmihtZuKo9KdtW/e5xRYwZ05l6y8x4UQJ+i1E2FiVpQAidIk4vilSnIGzRYt4K2FJvV+8xx5NK98B2Hzz+KaVhK23hpkzky6F8Vee0tAAU6ZkViBTqRolmxv/wWwcz96kHgp+9VX48MPS84vCPy+zZlV22rUkygWdq4AXRPi9CL8HXgCuKE+xjF81n2Vus417Ov+yy4IPTrJryao1qQOk7Co+TXLGjYOf/9zVtZBiZ/fF8e9b4njfP1VN8yabuCfvk9K7d3x5Nbdbe1Fq5LsTOBxXBe+nwGGqVNlLHiYJ/fu7M63mcinf7/jjYenSdHWttSqJZVOug9U+fVz9Ev5Lx6n5O/PM8kzT1I6RI+PNz39w2RwUDPoidPQ+uwCfAHcBY4FPvDRTZs0xmNaSJOpAj1tzPxOupW0kTM2btaqSVyVz1Uwa962eSy+NN7+khfl77gIOAqaSWQGPeL9LrDrGFFLNl/dNbailoFiMk06Cp55KtyFQzUqpDCtutfygXXbDNb/4Bbz2Wmn1/QfZZ5948hk9GubNiyevUhQM+qoc5H3meFbWVKsjj4zWvGSpsgNLlIaHTHk19wPHjh2Tb72sFu2xhztYag66dKmeKo2D5KtOuJKivKffZNUISjPxK/Ysbdy4yu7ssx94yW5Vz1SHSjVwVA21rJn84r4CVIn9zbvvlqcStHpR8ExfhLZAO6CbCBuTrm63IxChhWtTrFq5NJtdzuZ+dllL/Msmzieb89luu3jysdoQy+8730m6BOFtt11861YUzeUgNsw9/Z8C5+AC/FTSQf8z4IYylcs0A3HU+GfiUckDx9NPd5XppF7fKsWnn9p6VAlBrUgWo7ne0mtO62GYe/rXAteK8AtV/lqBMpkshRobqRbZgeXqq5Mph8mv3AcAV17pmsI98sjS8ypHc68m7fDD4Xe/g0MPLT2vk09uvq9MNqf1MEq1A5+I0AFAhF+L8IAIO5epXMYn1dZ9nA2YlEN2MKnWRjRMebVrB2ef3fwqNWmOBgxwt+HiqETrnHOa/6uhzUGUzfIiVVaI8F3gAGA0EFAjtimXaj/jt5189aqV50KMMeUVZTe91vv8IXCTKv8GytACs8m2337u84gjki1HIfYgX/XyLws7AEhO6qqdMUmJUnfRXBFuBvYDLhehDdEOGkyR+ve3AGriY0HfmPoVJWgfBfwHGOw1sdsFOL8spTLNggWX6mHLojrYwbtJWpQz/W7AFAARtvTS3o+9RKZm+QPL7rvDppsmVxZjqpEdfJmkRQn6j+Lq2hegLdAHmA7E0AqzaQ78O7Tz7RqQMU1Y0DdJCx30VcloUdx7Xe+nsZfI1CzbodUGW07G1K+iH8RT5TWgitqLMkmzYFK9bNkYYyDCmb4Iv/L9bAHsDCyMvUSmZllgqV62bIwxEO1Mv4Ova4O7xz+0HIUytckCS/XafvukS2CaO9v+a0OUe/q/BfCq4lVVVpatVKYm2UZfvfyNhbRtm1w5TPNlryPWhtBn+iLsIMLrwDTgHRGmirBDsRMWkSNF5B0RWSciDVn9LhSRGSIyXUQO8KUP9tJmiMgFxU7blMf3vpf+bgcA1cW/PDawejSNqVtRLu/fAvxKla1U2Qo410sr1jTgMGCyP1FEtgd+hHsVcDBwo4i0FJGWuKZ8hwDbA8d4w5oqsc02SZfAmOpmB8MmaVHe099IlUmpH6o8LULRLWar6nsA0nQrGArco6pfAbNEZAawq9dvhqrO9Ma7xxv23WLLYOLVrVvSJTCmutklcJO0KGf6M0W4SITeXvdrYFYZyrQ5MMf3u9FLy5XehIgMF5EpIjJl4UJ7waBSunZNugQmFzvDNMZAtKB/KtAdeMDrugGn5BtBRJ4UkWkBXb6n/oN2T5onvWmi6i2q2qCqDd27d89XRFMmFmSqiy0PYwxEe3p/KXBWlMxVdb/IJXJn8Fv4fvcC5nnfc6UbY/Lo0weeeSbpUhg7+DJJi/L0/hMidPb93liE/5ShTA8BPxKRNiLSB+gLvAK8CvQVkT4isgHuYb+HyjB9E4N27ZIugfGz9/SNMRDt8n43r0ldYP2Zf49iJywih4pII7A78KiI/Mflq+8A43AP6E0AzlDVtaq6BjgT17zve8A4b1hTJfwPKe1XzDUeUzZ2hlkd7EE+k7QoQX+dr0ldROhNjnvqYajqeFXtpaptVHUTVT3A1+9SVf2Gqm6rqo/70h9T1X5ev0uLnbYpPwsy1aVF0a1smDicdpr7HDQo2XIYE2VXMAp4ToQxIowBngEuLE+xTC2ys5jq9bOfJV2C+raDV41Zx47JlsOYKA/yTRChARgOvAH8G/iyXAUzxsTHnrEwxkC0VvZ+DJyNe2r+DWA34EVgn/IUzRhjjDFxinJ5/2xgF+AjVQYBA7GmdY2PXd43Jr/mvI1ssknSJTBhRAn6q1RZBSBCG1XeB7YtT7GMMab5qIcHWzfdNOkSmDCi1L3f6L2n/yDwhAhLscpxjE9zPosxxpjmIMqDfId6Xy8RYRLQCfcevTHGGGNqQJQz/fVUsQo9jTHGmBpjVXaY2NjlfWPya47byGWXWf0DtcSCvjHGlFlzfpBvxAhYvjzpUpiwLOgbY4wxdcKCvolNc7x0aYwxzYkFfWOMMaZOWNA3sWnO9y2NKUVDg/v83veSLYcxRb2yZ0yQ9u2TLoEx1WmPPWDxYujSJemSmHpnZ/rGGFMBFvBNNbCgb4wxxtQJC/rGGGNMnbCgb4wxxtQJC/rGGGNMnbCgb4wxxtQJC/rGGGNMnbCgb4wxxtQJC/rGGGNMnbCgb4wxxtQJC/rGGGNMnbCgb4wxxtQJC/rG1JHjj0+6BMaYJFkre8bUCdWkS2CMSZqd6RtjjDF1woK+McYYUycs6BtjjDF1woK+McYYUycs6BtjjDF1IrGgLyJ/FpH3ReQtERkvIp19/S4UkRkiMl1EDvClD/bSZojIBcmU3BhjjKlNSZ7pPwHsoKoDgA+ACwFEZHvgR0B/YDBwo4i0FJGWwA3AEGB74BhvWGOMMcaEkFjQV9X/quoa7+dLQC/v+1DgHlX9SlVnATOAXb1uhqrOVNWvgXu8YY0xxhgTQrXc0z8VeNz7vjkwx9ev0UvLld6EiAwXkSkiMmXhwoVlKK4xxhhTe8paI5+IPAlsGtBrlKr+2xtmFLAGGJsaLWB4JfgAJbCOMVW9BbgFoKGhweohM8YYYyhz0FfV/fL1F5GTgIOAfVXXVxLaCGzhG6wXMM/7nivdGGOMMQUk+fT+YGAEcIiqfuHr9RDwIxFpIyJ9gL7AK8CrQF8R6SMiG+Ae9nuo0uU2xhhjalWSDe5cD7QBnhARgJdU9Weq+o6IjAPexV32P0NV1wKIyJnAf4CWwG2q+k4yRTfGGGNqj2gzb3qroaFBp0yZknQx6oZ4T2Q089XKGGOqmohMVdWG7PRqeXrfGGOMMWVmQd8YY4ypExb0jTHGmDphQd8YY4ypExb0jTHGmDphQd8YY4ypExb0jTHGmDphQd8YY4ypExb0jTHGmDphQd8YY4ypExb0jTHGmDphQd8YY4ypExb0jTHGmDphQd8YY4ypExb0jTHGmDphQd8YY4ypExb0jTHGmDphQd8YY4ypExb0jTHGmDphQd8YY4ypExb0jTHGmDphQd8YY4ypExb0jTHGmDphQd8YY4ypExb0jTHGmDphQd8YY4ypExb0jTHGmDphQd/E6vrrYerUpEthjDEmSKukC2CalzPOSLoExhhjcrEzfWOMMaZOWNA3xhhj6oQFfWOMMaZOWNA3xhhj6oQFfWOMMaZOWNA3xhhj6oQFfWOMMaZOWNA3xhhj6oSoatJlKCsRWQh8FHO23YBFMedZDWy+aovNV22x+aottT5fW6lq9+zEZh/0y0FEpqhqQ9LliJvNV22x+aotNl+1pbnOl13eN8YYY+qEBX1jjDGmTljQL84tSRegTGy+aovNV22x+aotzXK+7J6+McYYUyfsTN8YY4ypExb0jTHGmDphQT8CERksItNFZIaIXJB0eYKIyBYiMklE3hORd0TkbC+9i4g8ISIfep8be+kiItd58/SWiOzsy+skb/gPReQkX/q3ReRtb5zrREQqOH8tReR1EXnE+91HRF72yvgvEdnAS2/j/Z7h9e/ty+NCL326iBzgS09k+YpIZxG5T0Te95bb7s1heYnIL711cJqI3C0ibWt1eYnIbSLyqYhM86WVfRnlmkaZ5+vP3rr4loiMF5HOvn6RlkUxy7tc8+Xrd56IqIh0837XzPKKhapaF6IDWgL/A7YGNgDeBLZPulwB5ewJ7Ox97wB8AGwPXAFc4KVfAFzufT8QeBwQYDfgZS+9CzDT+9zY+76x1+8VYHdvnMeBIRWcv18BdwGPeL/HAT/yvv8NON37/nPgb973HwH/8r5v7y27NkAfb5m2THL5AqOBH3vfNwA61/ryAjYHZgEb+pbTybW6vIC9gZ2Bab60si+jXNMo83z9AGjlfb/cN1+Rl0XU5V3O+fLStwD+g6uwrVutLa9Y/pukC1ArnbeA/+P7fSFwYdLlClHufwP7A9OBnl5aT2C69/1m4Bjf8NO9/scAN/vSb/bSegLv+9IzhivzvPQCngL2AR7xNrhFvh3U+mXkbdi7e99becNJ9nJLDZfU8gU64oKjZKXX9PLCBf053g6zlbe8Dqjl5QX0JjM4ln0Z5ZpGOecrq9+hwNig/7jQsihm+yz3fAH3Ad8CZpMO+jW1vErt7PJ+eKmdWEqjl1a1vEtmA4GXgU1UdT6A99nDGyzXfOVLbwxIr4RrgP8D1nm/uwLLVHVNQFnWl9/rv9wbPur8ltvWwELgdnG3LW4VkY2o8eWlqnOBK4GPgfm4/38qtb+8/CqxjHJNo1JOxZ3JQvT5Kmb7LBsROQSYq6pvZvVqTsurIAv64QXdB63a9x1FpD1wP3COqn6Wb9CANC0ivaxE5CDgU1Wd6k/OU5aamC/cWc7OwE2qOhD4HHdZMJeamC/vXuZQ3GXgzYCNgCF5ylIT8xVSs5gXERkFrAHGppICBit2vio6zyLSDhgF/Caod46y1NTyCsuCfniNuPtBKb2AeQmVJS8RaY0L+GNV9QEveYGI9PT69wQ+9dJzzVe+9F4B6eW2J3CIiMwG7sFd4r8G6CwirQLKsr78Xv9OwBKiz2+5NQKNqvqy9/s+3EFArS+v/YBZqrpQVVcDDwB7UPvLy68SyyjXNMrKe2jtIOA49a5VE32+FhF9eZfLN3AHoG96+5BewGsismme8tfM8ook6fsLtdLhzshm4lac1MMq/ZMuV0A5BbgTuCYr/c9kPmByhff9h2Q+xPKKl94Fd695Y6+bBXTx+r3qDZt6iOXACs/j90k/yHcvmQ8K/dz7fgaZDwqN8773J/NhpJm4B5ESW77As8C23vdLvGVV08sL+A7wDtDOm+5o4Be1vLxoek+/7Mso1zTKPF+DgXeB7lnDRV4WUZd3Oecrq99s0vf0a2p5lfy/JF2AWupwT3l+gHtSdVTS5clRxu/iLjW9BbzhdQfi4KQcIAAAANdJREFU7pc9BXzofaZWXgFu8ObpbaDBl9epwAyvO8WX3gBM88a5npgfwAkxj98nHfS3xj1JO8PbwbTx0tt6v2d4/bf2jT/KK/t0fE+yJ7V8gZ2AKd4ye9DbwdT88gJ+C7zvTXsMLljU5PIC7sY9m7Aad6Z3WiWWUa5plHm+ZuDuZaf2H38rdlkUs7zLNV9Z/WeTDvo1s7zi6KwaXmOMMaZO2D19Y4wxpk5Y0DfGGGPqhAV9Y4wxpk5Y0DfGGGPqhAV9Y4wxpk5Y0DfGGGPqhAV9Y4wxpk78P5v1+fazVhjpAAAAAElFTkSuQmCC\n",
      "text/plain": [
       "<Figure size 576x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 576x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 576x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 576x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 576x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 576x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 576x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 576x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 576x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 576x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 576x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 576x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 576x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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PP8/xxx+/KVGo2G4mL7744qZYTjvtNC688EIgPFDokksuYdKkSbRo0YK5c+eyoKIjT0K2etttt12NMdZGfQhERKQkTZw4kWeffZaXXnqJt956iz322IOvf/3rGb8pe4Z7Z82MVq1asXHjxk1lFQ/z2XnnnZkyZQq77747F198MVdccUWNsbh7Xt/QM9UdO3YsCxcuZMqUKbz55ptsu+22GR8ulGu9fCkhEJFaXXst6Bk00tgsX76cTp060a5dO95//31efvll1q5dywsvvMCsWbMANp26P+CAAxg7diwQEomuXbvSoUMH+vbty+uvvw7A66+/vmm5efPm0a5dO77//e9zwQUXbKqz9dZbs3Llys1i+da3vsW4ceNYvHhxle1mst9++3H//fcDbIqpoj3du3endevWTJgwgY8//jjjNrPVqy9dMhCRWk2fnnYEIpsbMmQId9xxBwMHDmSXXXZh8ODBdOvWjVGjRvHd736XjRs30r17d8aPH8/ll1/OGWecwcCBA2nXrh2jR48G4LjjjmPMmDEMGjSIvffem5133hmAqVOn8stf/pIWLVrQunVrbr/9dgBGjBjB0KFD6dGjBxMmTNgUy2677cbIkSM58MADadmyJXvssQd33313xrhvuukmTjnlFG666SaOO+64TeWnnnoqRx99NGVlZQwaNIivfvWrAHTp0oX99tuPAQMGMHToUC688MKM9erLMp1GaS7Kysp88uTJaYch0middRbcdVfldDN+u5Bq3nvvPb72ta+lHYbUINMxMrMp7l6Wqb4uGYiIiIguGYiIiBTDVVddxT/+8Y8qZSeccAIjR45MKaKapZoQmFlbYBLQJsbyoLtfZmb9gPuBzsDrwGnu/qWZtQHGAHsBi4HvufvsuK6LgbOADcDP3P2Zhm6PSFPnrs6FUinfnvXNzciRI1P78K9Ld4C0LxmsBQ5x968Dg4AhZjYYuBb4k7v3B5YSPuiJf5e6+07An2I9zGxX4CRgN2AIcJuZtWzQloiINCNt27Zl8eLFdfrgkeJydxYvXkzbtm3zWi7VMwQeXkmr4mTrODhwCHBKLB8NXA7cDgyL4wAPArdYSE+HAfe7+1pglpnNAPYBXip+K0REmp9evXpRXl7OwoUL0w5FMmjbti29evXKa5nU+xDEb/JTgJ2AW4GPgGXuvj5WKQd6xvGewBwAd19vZsuBLrH85cRqk8tU394IYARAnz59CtoWEZHmonXr1pueBihNQ9qXDHD3De4+COhF+Faf6T6WinNSmS5WeQ3lmbY3yt3L3L2sW7dudQlZpNmaODHtCESkWFJPCCq4+zJgIjAY6GhmFWcvegHz4ng50Bsgzt8GWJIsz7CMiBTIIYekHYGIFEuqCYGZdTOzjnF8S+BQ4D1gAnB8rDYceCyOPx6nifOfj/0QHgdOMrM28Q6F/sCrDdMKERGR0pd2H4IewOjYj6AFMM7dnzCzd4H7zexK4A3gzlj/TuCe2GlwCeHOAtx9mpmNA94F1gPnuvuGBm6LiIhIyUr7LoO3gT0ylM8k9CeoXr4GOCHLuq4Crip0jCIiIs1Bo+lDICKNj24xF2k+lBCIiIiIEgIRyU5PpRVpPpQQiIiIiBICERERUUIgIiIiKCEQERERlBCIiIgISghEREQEJQQikgfdhijSdCkhEBERESUEIpKdHl0s0nwoIRARERElBCKSO/UhEGm6lBCISFbVEwBdQhBpupQQiIiIiBICERERUUIgInlQHwKRpksJgYhktW5d2hGISENJNSEws95mNsHM3jOzaWZ2XizvbGbjzWx6/NsplpuZ3WxmM8zsbTPbM7Gu4bH+dDMbnlabRJqSe+5JOwIRaShpnyFYD5zv7l8DBgPnmtmuwEXAc+7eH3guTgMMBfrHYQRwO4QEArgM+AawD3BZRRIhIiIitUs1IXD3+e7+ehxfCbwH9ASGAaNjtdHAsXF8GDDGg5eBjmbWAzgCGO/uS9x9KTAeGNKATRERESlpaZ8h2MTM+gJ7AK8A27r7fAhJA9A9VusJzEksVh7LspVn2s4IM5tsZpMXLlxYyCaINHkbN6YdgYgUS6NICMysPfAQ8HN3X1FT1QxlXkP55oXuo9y9zN3LunXrln+wIiIiTVDqCYGZtSYkA2Pd/eFYvCBeCiD+/SyWlwO9E4v3AubVUC4iIiI5SPsuAwPuBN5z9xsSsx4HKu4UGA48lig/Pd5tMBhYHi8pPAMcbmadYmfCw2OZiBTY738PX3yRdhQiUmitUt7+fsBpwFQzezOWXQJcA4wzs7OAT4AT4ryngCOBGcDnwBkA7r7EzH4HvBbrXeHuSxqmCSJN05dfZi4fORJWrQqJgYg0HebN+NdKysrKfPLkyWmHIdIoff45bLVV5nl77w2vvtqw8YhI/ZnZFHcvyzQv9T4EIlJ6Xnut9joiUlqUEIiIiIgSAhEREVFCICJZ6JcNRZoXJQQiktEnn6QdgYg0JCUEIpLRjTemHYGINCQlBCKS0R13pB2BiDQkJQQiIiKihEBERESUEIiIiAhKCERERAQlBCIiIoISAhEREUEJgYiIiKCEQERERFBCICIiIighEBEREZQQNDurV8PVV8P69WlHIiIijUmrfBcwozvQtmLaHf0mWgn5zW/ghhugZ084/fS0oxERkcYi5zMEZhxjxnRgFvACMBv4V30DMLO7zOwzM3snUdbZzMab2fT4t1MsNzO72cxmmNnbZrZnYpnhsf50Mxte37iaqhUrwt81a9KNQ0qfe9oRiEgh5XPJ4HfAYOBDd/oB3wJeLEAMdwNDqpVdBDzn7v2B5+I0wFCgfxxGALdDSCCAy4BvAPsAl1UkEZKZWdoRiIhIY5JPQrDOncVACzNauDMBGFTfANx9ErCkWvEwYHQcHw0cmygf48HLQEcz6wEcAYx39yXuvhQYz+ZJhqBvdVI469alHYGIFFI+fQiWmdEemASMNeMzoFhd07Z19/kA7j7fzLrH8p7AnES98liWrXwzZjaCcHaBPn36FDjsxm/mzPBXZwikvubNg759045CRAolnzMEw4DPgV8ATwMfAUcVI6gaZPoY8xrKNy90H+XuZe5e1q1bt4IGVwomTAh/165NNw4pfRs3ph2BiBRSPgnBb9zZ6M56d0a7czNwYZHiWhAvBRD/fhbLy4HeiXq9gHk1lEsWV1yRdgRS6pQQiDQt+SQEh2UoG1qoQKp5HKi4U2A48Fii/PR4t8FgYHm8tPAMcLiZdYqdCQ+PZZLF0qVpRyAiIo1JrX0IzDgH+DGwgxlvJ2ZtTQHuMjCz+4CDgK5mVk64W+AaYJyZnQV8ApwQqz8FHAnMIFy+OAPA3ZeY2e+A12K9K9y9ekdFSVAfAqmvF1+EnXZKOwoRKRTzWrqdm7EN0Am4msrb/wBWum92d0BJKSsr88mTJ6cdRoOqSAS22EL9CKRmuSSNjz8ORx9d/FhEpDDMbIq7l2WaV+sZAneWA8uBk8PKNj2psL0Z7fWkwtL05ZdpRyBNwezZaUcgIoWSz5MKjy7GkwpFREQkffl0KryS4jypUERK1M9+BsP1oHCRJiH1JxVKenTZQAphzJjQ3+Cee9KORETqI5+EoPqTCm+ieE8qlAawfHnaEUhTct99aUcgIvWR75MKv6DqkwrVv7iENbMbLKTIWuTzbiIijU7Ov2XgzurE5OisFaVkHHmkfuxICkcJgUhpy+XBRCvJ8rsAAO50KGhEIlKSlBCIlLZcnkOwNYAZVwCfAvcQfkzoVMLTCkVElBCIlLh8/oWPcOc2d1a6s8Kd24HjihWYiJQW3bUiUtrySQg2mHGqGS3NaGHGqcCGYgUmIqVl0SJYvDjtKESkrvJJCE4BTgQWxOGEWCYiwiuvQNeuaUchInWVc0Lgzmx3hrnT1Z1u7hzrzuyK+WZcXJQIpaimTEk7AhERaQwK2Q3ohNqrSGNTlvE3r0TqTreyipSmQiYEOfxYqoiUgldfrfuy++wD//1v4WIphrVrYUMdekCdcw60br15+YIF0KMHvPNO/WOTqhYuhKeeSjuK5qGQCYG+F5QoM/j0U1i3rm7Lf/ZZWMeYMYWNS9Jz/PF1X3byZNhvP5gzJ/P8J5/MPi+TVavg2WfrFsvnn2cub9sWjqvDPVJ33AHr12+eTDz2WPgfuumm/NcpNTvoIPj2t2H1apg4Ea67Lu2Imi6dIRAgfLv54Q/D+IIF+S377rvhr371runI5wM7mz59YO+9Q6J56KHw9NOh/Kijwrw//3nzZXbcEQ47rGrZmWeGso8/zn3b5eVw2mmw1Vbw1luhr8z06VXrPPYY3HxzSGbdYerUzD/QtP/+oU7StGlVpysShC++gKVLc49Talfx/nLLLXDwwfCrX+kW16Jx94IM4JcUal0NNey1117e3IS3vuzDKaeEv//9b+7rfOaZyuXvvdf988+LF38xPPKI+xFHpB1F41Lb66Suw6uvVp3esMF97lz3mTOrbtfdfckS9x12qCx76aVQvnat+/vvh/HycvdLLnFfvdr9b39zX7UqlG+7bebtP/mk+777bl5+3HGV42PHVu6HFSsqy9evrxwfNsz93XfDdu+/f/P1VVi5MgxSs/nzw+sg6amn3BctynwcH3wwnTibAmCyZ/sczzZjs4r4aPCOielO4HflunxDDMAQ4ANgBnBRbfUbIiF47jn3L74o+mZysnFj7m/cZ5zhfued7vfdF958V6zYfH1vv519naWkIuZJk9KOpPEoVkKQ63DttZnL+/RpuBj+9req07vvnt/y55+f///Dxo3uf/yj++zZRTu0qdu4MQxJyYTN3X3WrNr3b642bHB//vmChd8gZs50//jj4qy7UAnBG7mUpTUALQm/wLgDsAXwFrBrTcsUOyFIfnN+6KHCrPO119xvv33zf6hcbNhQ/zfJHXd0/5//cd9qq9rrvvde2O7ateHbVaFs2FC4dX3xRdWY58/Pfdm5c93nzMmt7u67u++6a/jWWwz33lvZhkz7es6cMK/6t9WNGysT1uRrKu2EoCkOd99dOX7KKeF1vHJlONPw17+677ST+4gRVZe5+mr3N95wf/HFcFxeeSWU7713eK0m/xcWLAjzDj3UfepU95/8pPKYVhzjqVNzew0uW+a+114hNvewnX/+033x4sz1N2xwP+GEzb/8fPllSLQ3bnSfPr3qGZeK2Favrtrm5cvdH3gg9/3avn3l+K23hvU++2yIaeNG96uuCvNOPLHyC0yrVmG78+aF/VH9rObQoaHeG29ULa/Yzrp1lWUrV1aesaquvNz9hReq/u89/LD7uHGZ38MPPLBq2847L/N666OmhMDC/NqZ8RZwkDtL43Rn4AV3di/Q1Yt6MbN9gcvd/Yg4fTGAu1+dbZmysjKfXKDfAK5+jVFERKS+ttgi3BVTKGY2xd0z3nCe888fA9cD/zXjwTh9AnBVfYMroJ5AsitUOfCN6pXMbAQwAqBPnz4NE5mIiEgdNGQHynyeVDiG8GNGC4DPgO+6k6FPbmoyfUff7PSHu49y9zJ3L+vWrVsDhCUiIlI3773XcNuqNSEwo0P825nw88d/B8YCn8ayxqIc6J2Y7gXMa6iNZ7q69e9/V86fPj3tK5gwf3792titW7gta8MGmBf37O5ZLhhNmpR+e3MZkvepDxhQvO0sXw6zZxdv/d/+dmjDtttmnr96NVx6KaxZk9v6pLD++U9YuTLc0nvbbTB3btX9vX49rFgBu+1WdbmXXtr82IwbF95bMh23d98N7zVr18Ljj9f99bRhQ7gNM59l1q/P/bXVpUv215s7vPZa7fv05ZfD37feCvvtoIPC/s30Pz50aHjAkXvYN+vW1RzjunXh+RfVyydOhA8/zG+/LFsGL7xQOT13brgtNlPdRx6Bn/60so0LFsBXv1rXV10dZOtcUDGAPxH/zgKfmRhmgc+sbfmGGgiXP2YC/ajsVLhbTcs0xF0GH37YeG7Dmz8/95fxzjuHzj25dOC7/vqqy06ZUvy2FFJF3NVveyolq1aF2/Lq0tk0k7p/lOQ3vPhi5vLTTgs97auXv/RS5fjq1e4/+EHV+eef7z5oUP3j+ve/3descf/znyvLrrxy83r9+rn/+tebl7/1VuhQ9uc/h46BuaN5yRMAABIeSURBVPryS/eFCwtzDEtJxX778MMw/dlnNR+fb30r3XhLGYW4y6AUBuBI4EPC3QYja6vf3J5DMG9e7W+Ejz6a/3oretGCe//+hY+72N5/3/3ll9OOonFpqIQg23Yr7LFHZdmvfx16v4P7RReF+RU9yH/966rrmTHD/Re/CD3lly6tXMfMme633LJ5HBdfXDl+5ZWV60neVpsc/+ijkPhWJGC1tUtqtmRJ5oQ8223Nv/pVw8fYVBQkIQB/LpeyUhqaW0KwalXNb8xLl9ZtvRs3hlt6Dj20sLcXSnoK9YH/4IPup5/ufuml4VvfQw+5/+hHYd748Ztv98473a+7rnJ63brKdd13XyhLnrlaudL97LNDopBLe5LTO+4YzkKce24ou+MO92uu2XzZu+5yHz686noy3SN++OHhG+60aTXHIvmp2Oe//a37lluG8TVr0o6qdNWUENR626EZbYF2wATgICo773UA/uXO1wp2/aKBFfK2w1KR6fbIwYPDtUqRCoW6jXbRonC9uD7WroX77oMf/KDu6zALj0WeMSNMz5oFnTvDNtvkvx6ATz6B3r1rriuF0a1beB0tWBBuwVuwAHbZJe2oSld9bzv8EfBz4CvAFCoTghXArQWJUFJzyy1w1llpRyFNzcqVoVNafZMBgDZt6pcMQOiwl/yVwn796raeDz8MP+LVq1f94pHcXXZZ6GjXoUP4UaqOHdOOqOnK58FEP3Unw8+RlC6dIYCNG/VQJdlc9+6hV3a+li8PPbQLkQiISOHVdIYgn187/NSMrcMK+bUZD5uxZ0EilNQoGZBM6noJqUMHJQMipSqfhOBSd1aa8U3gCGA0cHtxwhKRNO24Y9oRiEhDyychiL/4zbeB2915jHC/v5So73wn7QhERKSxyCchmGvGX4ATgafMaJPn8tLI3KouoSIiEuXzgX4i8AwwxJ1lQGfgl0WJShpEjx5pRyAiIo1FPr922BWYDGBGxc8Evl/wiERERKTB5ZMQPAk44TkEbQm/GfABsFtNC4lI87ByZdoRiEh95JwQuFPld+3iLYc/KnhEIlIyBg6Et98O4+3bpxuLiNRPnTsFuvM6sHcBYxGREqPnWIg0HTmfITDjfxOTLYA9gTo8y0xEmgoz2Gcf+PjjtCMRkfrKpw/B1onx9YQ+BQ8VNhwRKSUtWsArr6QdhYgUQj59CH4LEB9f7O6sKlpUIlISWuhJJCJNRs7/zmYMMOMN4B1gmhlTzBhQvNBEpLFr0ybtCESkUPLJ70cB/+vO9u5sD5wfy0SkmdLDrUSajnwSgq3cmVAx4c5EYKuCRyQiJePYY9OOQEQKJZ9OhTPNuBS4J05/H5hV+JBEpFScemraEYhIoeRzhuBMoBvwcBy6AmfUdcNmdoKZTTOzjWZWVm3exWY2w8w+MLMjEuVDYtkMM7soUd7PzF4xs+lm9oCZ6VcYRURE8pBzQuDOUnd+5s6ecfi5O0vrse13gO8Ck5KFZrYrcBLhkchDgNvMrKWZtQRuBYYCuwInx7oA1wJ/cvf+wFLgrHrEJSIi0uzkc5fBeDM6JqY7mfFMXTfs7u+5+wcZZg0D7nf3te4+C5gB7BOHGe4+092/BO4HhpmZAYcAD8blRwO6slmLk09OOwIREWlM8rlk0DX+7DEQzhgA3QsfEj2BOYnp8liWrbwLsMzd11crz8jMRpjZZDObvHBh833QYs+se0hERJqjfBKCjYmfPcaMvoRfP8zKzJ41s3cyDMNqWixDmdehPCN3H+XuZe5e1q1bt5rCFxERaTbyuctgJPAfM16I0wcAI2pawN0PrUNM5UDvxHQvYF4cz1S+COhoZq3iWYJkfREREclBPp0KnwbKgA+ABwgPJvqiCDE9DpxkZm3MrB/QH3gVeA3oH+8o2ILQ8fBxd3dgAnB8XH448FgR4mpSfvnLtCMQEZHGJJ9fOzwbOI/wDfxNYDDwEqFDX97M7DvAnwm3Mj5pZm+6+xHuPs3MxgHvEn5E6Vx33xCX+QnwDNASuMvdp8XVXQjcb2ZXAm8Ad9YlpuagRQvYuBG6dEk7EhERaUwsfMHOoaIxFdgbeNmdQWZ8FfitO98rZoDFVFZW5pMnT047jAbVsmVICNavD+Mi2Vim3jkJ778Pu+zSMLGISGGY2RR3L8s0L59OhWvcWRNWSBt33gf0diDSTCkZEGla8kkIyuNzCB4FxpvxGOq8V3Ieegi++U39bK2IiFSV8yWDKgsZBwLbAE+782XBo2ogzfGSgUiuartkUIe3DhFJWU2XDPK57XAT9023HoqIiEgToBPHIiIiooRARPJ34IFpRyAihaaEQETy1rVr2hGISKEpIRCRjAYMSDsCEWlISghEJKNtt80+r7Y7EESk9CghEJG86ZZDkaZHCYGIZKQPfZHmRQmBiIiIKCEQkfypD4FI06OEQERERJQQiEju+vRJOwIRKRYlBCKSs+99L/zVTx+LND11+nEjEWmevvlNGDoU9t8/7UhEpNCUEIhIRtluOzz44IaNQ0Qahi4ZiEjO9GwCkaYrtYTAzK4zs/fN7G0ze8TMOibmXWxmM8zsAzM7IlE+JJbNMLOLEuX9zOwVM5tuZg+Y2RYN3R4REZFSluYZgvHAAHcfCHwIXAxgZrsCJwG7AUOA28yspZm1BG4FhgK7AifHugDXAn9y9/7AUuCsBm2JSDOhMwQiTVdqCYG7/5+7r4+TLwO94vgw4H53X+vus4AZwD5xmOHuM939S+B+YJiZGXAI8GBcfjRwbEO1Q6Sp0sOHRJqXxtKH4EzgX3G8JzAnMa88lmUr7wIsSyQXFeUZmdkIM5tsZpMXLlxYoPBFRERKW1HvMjCzZ4HtMswa6e6PxTojgfXA2IrFMtR3MicvXkP9jNx9FDAKoKysTCdARfKgSwYiTVdREwJ3P7Sm+WY2HDgK+Jb7preacqB3olovYF4cz1S+COhoZq3iWYJkfRGpI334izQvad5lMAS4EDjG3T9PzHocOMnM2phZP6A/8CrwGtA/3lGwBaHj4eMxkZgAHB+XHw481lDtEBERaQrSfDDRLUAbYHzoF8jL7v7/3H2amY0D3iVcSjjX3TcAmNlPgGeAlsBd7j4trutC4H4zuxJ4A7izYZsiIiJS2lJLCNx9pxrmXQVclaH8KeCpDOUzCXchiEgR6TKCSNPVWO4yEBERkRQpIRARERElBCKSmS4PiDQvSghEJGdKEkSaLiUEIiIiooRARERElBCISB50yUCk6VJCICI5U0Ig0nQpIRARERElBCKS2YABaUcgIg1JCYGIZHT99XDYYVXLdMlApOlSQiAiGW2xBRxwQNpRiEhDUUIgIiIiSghERERECYGI5EF9CESaLiUEIiIiooRARERElBCISB50yUCk6UotITCz35nZ22b2ppn9n5l9JZabmd1sZjPi/D0Tyww3s+lxGJ4o38vMpsZlbjYzS6NNIk2NEgCR5iPNMwTXuftAdx8EPAH8JpYPBfrHYQRwO4CZdQYuA74B7ANcZmad4jK3x7oVyw1pqEaIiIg0BaklBO6+IjG5FVDxXWQYMMaDl4GOZtYDOAIY7+5L3H0pMB4YEud1cPeX3N2BMcCxDdcSERGR0tcqzY2b2VXA6cBy4OBY3BOYk6hWHstqKi/PUJ5tmyMIZxPo06dP/Rog0ky0aQNr18L226cdiYgUS1HPEJjZs2b2ToZhGIC7j3T33sBY4CcVi2VYldehPCN3H+XuZe5e1q1bt/waJNJMnX8+vPkm7Ltv2pGISLEU9QyBux+aY9W/A08S+giUA70T83oB82L5QdXKJ8byXhnqi0iBmMHXv552FCJSTGneZdA/MXkM8H4cfxw4Pd5tMBhY7u7zgWeAw82sU+xMeDjwTJy30swGx7sLTgcea7iWiDRdul9HpPlIsw/BNWa2C7AR+Bj4f7H8KeBIYAbwOXAGgLsvMbPfAa/Fele4+5I4fg5wN7Al8K84iIiISI5SSwjc/bgs5Q6cm2XeXcBdGconAwMKGqCIiEgzoicVioiIiBICEclOTyoUaT6UEIhIrdS5UKTpU0IgIiIiSghERERECYGIiIighEBERERQQiAiIiIoIRARERGUEIiIiAhKCESkBltsEf62bp1uHCJSfGn+uJGINHI/+xksXgwXXJB2JCJSbEoIRCSrLbeEP/wh7ShEpCHokoGIiIgoIRARERElBCIiIoISAhEREUEJgYiIiKCEQERERFBCICIiIighEBEREcDcPe0YUmNmC4GPC7jKrsCiAq6vsVC7SovaVVqaarug6batlNu1vbt3yzSjWScEhWZmk929LO04Ck3tKi1qV2lpqu2Cptu2ptouXTIQERERJQQiIiKihKDQRqUdQJGoXaVF7SotTbVd0HTb1iTbpT4EIiIiojMEIiIiooRAREREUEJQEGY2xMw+MLMZZnZR2vFkYma9zWyCmb1nZtPM7LxY3tnMxpvZ9Pi3Uyw3M7s5tultM9szsa7hsf50MxueKN/LzKbGZW42M2vA9rU0szfM7Ik43c/MXokxPmBmW8TyNnF6RpzfN7GOi2P5B2Z2RKI8leNrZh3N7EEzez8et32bwvEys1/E1+A7ZnafmbUt1eNlZneZ2Wdm9k6irOjHKNs2ityu6+Jr8W0ze8TMOibm5XUs6nK8i9WuxLwLzMzNrGucLpnjVTDurqEeA9AS+AjYAdgCeAvYNe24MsTZA9gzjm8NfAjsCvwBuCiWXwRcG8ePBP4FGDAYeCWWdwZmxr+d4ninOO9VYN+4zL+AoQ3Yvv8F/g48EafHASfF8TuAc+L4j4E74vhJwANxfNd47NoA/eIxbZnm8QVGA2fH8S2AjqV+vICewCxgy8Rx+kGpHi/gAGBP4J1EWdGPUbZtFLldhwOt4vi1iXblfSzyPd7FbFcs7w08Q3hQXddSO14F2z9pB1DqQzz4zySmLwYuTjuuHOJ+DDgM+ADoEct6AB/E8b8AJyfqfxDnnwz8JVH+l1jWA3g/UV6lXpHb0gt4DjgEeCL+My5KvHltOkbxn37fON4q1rPqx62iXlrHF+hA+OC0auUlfbwICcGc+GbaKh6vI0r5eAF9qfrBWfRjlG0bxWxXtXnfAcZm2se1HYu6/H8Wu13Ag8DXgdlUJgQldbwKMeiSQf1VvMFVKI9ljVY8DbcH8AqwrbvPB4h/u8dq2dpVU3l5hvKGcCPwK2BjnO4CLHP39Rli2RR/nL881s+3vcW2A7AQ+JuFSyF/NbOtKPHj5e5zgT8CnwDzCft/CqV/vJIa4hhl20ZDOZPwDRjyb1dd/j+LxsyOAea6+1vVZjWl45UTJQT1l+m6a6O9l9PM2gMPAT939xU1Vc1Q5nUoLyozOwr4zN2nJItriKUk2kX4drQncLu77wGsJpxqzKYk2hWvnQ4jnFr+CrAVMLSGWEqiXTlqEm0xs5HAemBsRVGGanVtV4O22czaASOB32SanSWWkjpe+VBCUH/lhOtPFXoB81KKpUZm1pqQDIx194dj8QIz6xHn9wA+i+XZ2lVTea8M5cW2H3CMmc0G7idcNrgR6GhmrTLEsin+OH8bYAn5t7fYyoFyd38lTj9ISBBK/XgdCsxy94Xuvg54GPgfSv94JTXEMcq2jaKKHeiOAk71eP6b/Nu1iPyPd7HsSEhO34rvIb2A181suxriL5njlbe0r1mU+kD4JjeT8KKq6DizW9pxZYjTgDHAjdXKr6NqZ5c/xPFvU7VDzauxvDPh2nanOMwCOsd5r8W6FR1qjmzgNh5EZafCf1C109KP4/i5VO20NC6O70bVjlEzCZ2iUju+wL+BXeL45fFYlfTxAr4BTAPaxe2OBn5ayseLzfsQFP0YZdtGkds1BHgX6FatXt7HIt/jXcx2VZs3m8o+BCV1vAqyb9IOoCkMhN6oHxJ61I5MO54sMX6TcPrqbeDNOBxJuD73HDA9/q14YRtwa2zTVKAssa4zgRlxOCNRXga8E5e5hQJ3BsqhjQdRmRDsQOjxOyO++bSJ5W3j9Iw4f4fE8iNj7B+Q6HGf1vEFBgGT4zF7NL75lPzxAn4LvB+3fQ/hg6QkjxdwH6EvxDrCN8SzGuIYZdtGkds1g3DtvOL94466Hou6HO9itava/NlUJgQlc7wKNejRxSIiIqI+BCIiIqKEQERERFBCICIiIighEBEREZQQiIiICEoIREREBCUEIiIiAvx/PPzeX0cKZz0AAAAASUVORK5CYII=\n",
      "text/plain": [
       "<Figure size 576x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 576x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 576x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "possible_eq = submission.loc[submission[\"time_to_failure\"] < 1.0]\n",
    "print(possible_eq)\n",
    "print(type(possible_eq))\n",
    "print(possible_eq.columns)\n",
    "# segments = [\"seg_26a2a0\", \"seg_724df9\", \"seg_7a9f2b\", \"seg_7fa6ec\", \"seg_aa98cc\", \"seg_b35174\", \"seg_c80857\", \"seg_e3d751\"]\n",
    "\n",
    "for seg_id in possible_eq.index:\n",
    "    print(seg_id)\n",
    "    seg = pd.read_csv('../data/test/' + seg_id + '.csv')\n",
    "    fig, ax1 = plt.subplots(figsize=(8, 4))\n",
    "    plt.title(\"Trends of acoustic_data for test file {}\".format(seg_id))\n",
    "    plt.plot(seg['acoustic_data'].values, color='b')\n",
    "    ax1.set_ylabel('acoustic_data', color='b')\n",
    "    plt.legend(['acoustic_data'])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "Using TensorFlow backend.\n",
      "/Users/lynette/opt/anaconda3/lib/python3.7/site-packages/tensorflow/python/framework/dtypes.py:526: FutureWarning: Passing (type, 1) or '1type' as a synonym of type is deprecated; in a future version of numpy, it will be understood as (type, (1,)) / '(1,)type'.\n",
      "  _np_qint8 = np.dtype([(\"qint8\", np.int8, 1)])\n",
      "/Users/lynette/opt/anaconda3/lib/python3.7/site-packages/tensorflow/python/framework/dtypes.py:527: FutureWarning: Passing (type, 1) or '1type' as a synonym of type is deprecated; in a future version of numpy, it will be understood as (type, (1,)) / '(1,)type'.\n",
      "  _np_quint8 = np.dtype([(\"quint8\", np.uint8, 1)])\n",
      "/Users/lynette/opt/anaconda3/lib/python3.7/site-packages/tensorflow/python/framework/dtypes.py:528: FutureWarning: Passing (type, 1) or '1type' as a synonym of type is deprecated; in a future version of numpy, it will be understood as (type, (1,)) / '(1,)type'.\n",
      "  _np_qint16 = np.dtype([(\"qint16\", np.int16, 1)])\n",
      "/Users/lynette/opt/anaconda3/lib/python3.7/site-packages/tensorflow/python/framework/dtypes.py:529: FutureWarning: Passing (type, 1) or '1type' as a synonym of type is deprecated; in a future version of numpy, it will be understood as (type, (1,)) / '(1,)type'.\n",
      "  _np_quint16 = np.dtype([(\"quint16\", np.uint16, 1)])\n",
      "/Users/lynette/opt/anaconda3/lib/python3.7/site-packages/tensorflow/python/framework/dtypes.py:530: FutureWarning: Passing (type, 1) or '1type' as a synonym of type is deprecated; in a future version of numpy, it will be understood as (type, (1,)) / '(1,)type'.\n",
      "  _np_qint32 = np.dtype([(\"qint32\", np.int32, 1)])\n",
      "/Users/lynette/opt/anaconda3/lib/python3.7/site-packages/tensorflow/python/framework/dtypes.py:535: FutureWarning: Passing (type, 1) or '1type' as a synonym of type is deprecated; in a future version of numpy, it will be understood as (type, (1,)) / '(1,)type'.\n",
      "  np_resource = np.dtype([(\"resource\", np.ubyte, 1)])\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "WARNING:tensorflow:From /Users/lynette/opt/anaconda3/lib/python3.7/site-packages/tensorflow/python/ops/resource_variable_ops.py:435: colocate_with (from tensorflow.python.framework.ops) is deprecated and will be removed in a future version.\n",
      "Instructions for updating:\n",
      "Colocations handled automatically by placer.\n",
      "WARNING:tensorflow:From /Users/lynette/opt/anaconda3/lib/python3.7/site-packages/tensorflow/python/ops/math_ops.py:3066: to_int32 (from tensorflow.python.ops.math_ops) is deprecated and will be removed in a future version.\n",
      "Instructions for updating:\n",
      "Use tf.cast instead.\n",
      "Model: \"sequential_1\"\n",
      "_________________________________________________________________\n",
      "Layer (type)                 Output Shape              Param #   \n",
      "=================================================================\n",
      "bidirectional_1 (Bidirection (None, 11, 1024)          2105344   \n",
      "_________________________________________________________________\n",
      "dropout_1 (Dropout)          (None, 11, 1024)          0         \n",
      "_________________________________________________________________\n",
      "lstm_2 (LSTM)                (None, 256)               1311744   \n",
      "_________________________________________________________________\n",
      "dropout_2 (Dropout)          (None, 256)               0         \n",
      "_________________________________________________________________\n",
      "dense_1 (Dense)              (None, 64)                16448     \n",
      "_________________________________________________________________\n",
      "dropout_3 (Dropout)          (None, 64)                0         \n",
      "_________________________________________________________________\n",
      "dense_2 (Dense)              (None, 64)                4160      \n",
      "_________________________________________________________________\n",
      "dropout_4 (Dropout)          (None, 64)                0         \n",
      "_________________________________________________________________\n",
      "dense_3 (Dense)              (None, 1)                 65        \n",
      "=================================================================\n",
      "Total params: 3,437,761\n",
      "Trainable params: 3,437,761\n",
      "Non-trainable params: 0\n",
      "_________________________________________________________________\n"
     ]
    }
   ],
   "source": [
    "from keras.models import load_model\n",
    " \n",
    "# load model\n",
    "model = load_model('model-no-shuflle.h5')\n",
    "model.summary()\n",
    "\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "            time_to_failure\n",
      "seg_id                     \n",
      "seg_004314         0.555704\n",
      "seg_20cc25         0.983167\n",
      "seg_26a2a0         0.348386\n",
      "seg_272a47         0.939068\n",
      "seg_2f86cd         0.408327\n",
      "seg_376908         0.847941\n",
      "seg_39ad50         0.535010\n",
      "seg_3e87b4         0.597010\n",
      "seg_5311d1         0.924789\n",
      "seg_6f17de         0.997774\n",
      "seg_724df9         0.353763\n",
      "seg_7848f8         0.369655\n",
      "seg_7a9f2b         0.357166\n",
      "seg_7fa6ec         0.348553\n",
      "seg_8be76c         0.767175\n",
      "seg_90b174         0.773433\n",
      "seg_919a6a         0.972501\n",
      "seg_957ece         0.712432\n",
      "seg_a1a511         0.975053\n",
      "seg_a9089b         0.990989\n",
      "seg_aa98cc         0.357945\n",
      "seg_b35174         0.343291\n",
      "seg_b686e5         0.570120\n",
      "seg_bfdd14         0.597073\n",
      "seg_c243a6         0.755406\n",
      "seg_c5dee4         0.682533\n",
      "seg_c80857         0.358782\n",
      "seg_c94941         0.830885\n",
      "seg_c9831a         0.825778\n",
      "seg_e3d751         0.331345\n",
      "seg_f43ab6         0.854497\n",
      "seg_fdd50e         0.772728\n",
      "<class 'pandas.core.frame.DataFrame'>\n",
      "Index(['time_to_failure'], dtype='object')\n",
      "seg_26a2a0\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 576x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "import matplotlib.pyplot as plt\n",
    "possible_eq = submission.loc[submission[\"time_to_failure\"] < 1.0]\n",
    "print(possible_eq)\n",
    "print(type(possible_eq))\n",
    "print(possible_eq.columns)\n",
    "segments = [\"seg_26a2a0\"]\n",
    "for seg_id in segments:\n",
    "    print(seg_id)\n",
    "    seg = pd.read_csv('../data/test/' + seg_id + '.csv')\n",
    "    fig, ax1 = plt.subplots(figsize=(8, 4))\n",
    "    plt.title(\"Trends of acoustic_data for test file {}\".format(seg_id))\n",
    "    plt.plot(seg['acoustic_data'].values, color='b')\n",
    "    ax1.set_ylabel('acoustic_data', color='b')\n",
    "    plt.legend(['acoustic_data'])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [],
   "source": [
    "submission = pd.read_csv(\"./submission-LSTM.csv\", index_col='seg_id', dtype={\"time_to_failure\": np.float32})"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
 "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": "3.7.4"
  },
  "widgets": {
   "application/vnd.jupyter.widget-state+json": {
    "state": {},
    "version_major": 2,
    "version_minor": 0
   }
  }
 },
 "nbformat": 4,
 "nbformat_minor": 2
}