{"nbformat":4,"nbformat_minor":0,"metadata":{"colab":{"provenance":[],"collapsed_sections":["VdlUPwHb1TrB","ebrVe8_p1Yi1","5iqEdv-V1ptw","Rvy1z_9Y10fd","LHTXKs-y2EN6","I0r-cVft3NTt","_MqbjgeS2c1h","xTcv9Jdm2mwZ","d2wq8lPy2wti","DTKMkESX22Oi","0BSSuZHj7BPz"],"gpuType":"T4","mount_file_id":"152IJ9FXMftdQMBMGpQ0quDz8ZmlG6j_J","authorship_tag":"ABX9TyMo5x3ABAl703K3pVY7VdTv"},"kernelspec":{"name":"python3","display_name":"Python 3"},"language_info":{"name":"python"},"accelerator":"GPU"},"cells":[{"cell_type":"markdown","source":["# Import Lib"],"metadata":{"id":"VdlUPwHb1TrB"}},{"cell_type":"code","execution_count":4,"metadata":{"id":"1SoPmdfqp3zl","executionInfo":{"status":"ok","timestamp":1745060559115,"user_tz":-180,"elapsed":11635,"user":{"displayName":"مالك المصنف","userId":"01645315346138749579"}}},"outputs":[],"source":["import pandas as pd\n","import matplotlib.pyplot as plt\n","import seaborn as sns\n","import numpy as np\n","from sklearn.ensemble import IsolationForest\n","from sklearn.neighbors import LocalOutlierFactor\n","from sklearn.preprocessing import StandardScaler\n","from tensorflow.keras.models import Sequential\n","from tensorflow.keras.layers import LSTM, Dense\n","from tensorflow.keras.layers import Dropout\n","from tensorflow.keras.callbacks import EarlyStopping\n","from tensorflow.keras.losses import MeanSquaredError\n","from tensorflow.keras.callbacks import EarlyStopping, ModelCheckpoint\n","from tensorflow.keras.models import load_model\n","from sklearn.model_selection import train_test_split as tts\n","from sklearn.tree import DecisionTreeRegressor\n","from sklearn.ensemble import RandomForestRegressor\n","from sklearn.model_selection import GridSearchCV\n","from sklearn.linear_model import LinearRegression\n","from sklearn.metrics import mean_absolute_error, mean_squared_error, r2_score\n","import pickle as pk"]},{"cell_type":"markdown","source":["# Import Data"],"metadata":{"id":"ebrVe8_p1Yi1"}},{"cell_type":"code","source":["data_file_path='/content/drive/MyDrive/Analaysis for Time Fauiler/cnc_sensor_data.csv'"],"metadata":{"id":"dm_1jaYtp__P","executionInfo":{"status":"ok","timestamp":1745060559118,"user_tz":-180,"elapsed":18,"user":{"displayName":"مالك المصنف","userId":"01645315346138749579"}}},"execution_count":5,"outputs":[]},{"cell_type":"code","source":["my_data=pd.read_csv(data_file_path)"],"metadata":{"id":"RpJpRi9_qOAC","executionInfo":{"status":"ok","timestamp":1745060560972,"user_tz":-180,"elapsed":1858,"user":{"displayName":"مالك المصنف","userId":"01645315346138749579"}}},"execution_count":6,"outputs":[]},{"cell_type":"markdown","source":["# Analyse our Data"],"metadata":{"id":"5iqEdv-V1ptw"}},{"cell_type":"code","source":["my_data.info()"],"metadata":{"colab":{"base_uri":"https://localhost:8080/"},"id":"isTxA7WIqU5Y","executionInfo":{"status":"ok","timestamp":1745056516959,"user_tz":-180,"elapsed":11,"user":{"displayName":"مالك المصنف","userId":"01645315346138749579"}},"outputId":"3fd6ad92-cf43-4ae9-c649-7c6de52ebeef"},"execution_count":327,"outputs":[{"output_type":"stream","name":"stdout","text":["<class 'pandas.core.frame.DataFrame'>\n","RangeIndex: 1000 entries, 0 to 999\n","Data columns (total 5 columns):\n"," #   Column       Non-Null Count  Dtype  \n","---  ------       --------------  -----  \n"," 0   timestamp    1000 non-null   object \n"," 1   vibration    1000 non-null   float64\n"," 2   temperature  1000 non-null   float64\n"," 3   pressure     1000 non-null   float64\n"," 4   status       1000 non-null   object \n","dtypes: float64(3), object(2)\n","memory usage: 39.2+ KB\n"]}]},{"cell_type":"code","source":["my_data.head()"],"metadata":{"colab":{"base_uri":"https://localhost:8080/","height":206},"id":"lOBHBDb3qbmW","executionInfo":{"status":"ok","timestamp":1745056516967,"user_tz":-180,"elapsed":11,"user":{"displayName":"مالك المصنف","userId":"01645315346138749579"}},"outputId":"770b8a30-c35b-4e67-acb1-e9e7877a4fed"},"execution_count":328,"outputs":[{"output_type":"execute_result","data":{"text/plain":["             timestamp  vibration  temperature  pressure  status\n","0  2025-04-01 08:00:00       0.23         67.0      3.29  normal\n","1  2025-04-01 08:10:00       0.27         60.5      3.00  normal\n","2  2025-04-01 08:20:00       0.29         60.8      3.13  normal\n","3  2025-04-01 08:30:00       0.47         66.0      3.14  normal\n","4  2025-04-01 08:40:00       0.98         82.8      4.99   fault"],"text/html":["\n","  <div id=\"df-fd8df599-09d0-41d2-9c3c-b45d205b5087\" class=\"colab-df-container\">\n","    <div>\n","<style scoped>\n","    .dataframe tbody tr th:only-of-type {\n","        vertical-align: middle;\n","    }\n","\n","    .dataframe tbody tr th {\n","        vertical-align: top;\n","    }\n","\n","    .dataframe thead th {\n","        text-align: right;\n","    }\n","</style>\n","<table border=\"1\" class=\"dataframe\">\n","  <thead>\n","    <tr style=\"text-align: right;\">\n","      <th></th>\n","      <th>timestamp</th>\n","      <th>vibration</th>\n","      <th>temperature</th>\n","      <th>pressure</th>\n","      <th>status</th>\n","    </tr>\n","  </thead>\n","  <tbody>\n","    <tr>\n","      <th>0</th>\n","      <td>2025-04-01 08:00:00</td>\n","      <td>0.23</td>\n","      <td>67.0</td>\n","      <td>3.29</td>\n","      <td>normal</td>\n","    </tr>\n","    <tr>\n","      <th>1</th>\n","      <td>2025-04-01 08:10:00</td>\n","      <td>0.27</td>\n","      <td>60.5</td>\n","      <td>3.00</td>\n","      <td>normal</td>\n","    </tr>\n","    <tr>\n","      <th>2</th>\n","      <td>2025-04-01 08:20:00</td>\n","      <td>0.29</td>\n","      <td>60.8</td>\n","      <td>3.13</td>\n","      <td>normal</td>\n","    </tr>\n","    <tr>\n","      <th>3</th>\n","      <td>2025-04-01 08:30:00</td>\n","      <td>0.47</td>\n","      <td>66.0</td>\n","      <td>3.14</td>\n","      <td>normal</td>\n","    </tr>\n","    <tr>\n","      <th>4</th>\n","      <td>2025-04-01 08:40:00</td>\n","      <td>0.98</td>\n","      <td>82.8</td>\n","      <td>4.99</td>\n","      <td>fault</td>\n","    </tr>\n","  </tbody>\n","</table>\n","</div>\n","    <div class=\"colab-df-buttons\">\n","\n","  <div class=\"colab-df-container\">\n","    <button class=\"colab-df-convert\" onclick=\"convertToInteractive('df-fd8df599-09d0-41d2-9c3c-b45d205b5087')\"\n","            title=\"Convert this dataframe to an interactive table.\"\n","            style=\"display:none;\">\n","\n","  <svg xmlns=\"http://www.w3.org/2000/svg\" height=\"24px\" viewBox=\"0 -960 960 960\">\n","    <path d=\"M120-120v-720h720v720H120Zm60-500h600v-160H180v160Zm220 220h160v-160H400v160Zm0 220h160v-160H400v160ZM180-400h160v-160H180v160Zm440 0h160v-160H620v160ZM180-180h160v-160H180v160Zm440 0h160v-160H620v160Z\"/>\n","  </svg>\n","    </button>\n","\n","  <style>\n","    .colab-df-container {\n","      display:flex;\n","      gap: 12px;\n","    }\n","\n","    .colab-df-convert {\n","      background-color: #E8F0FE;\n","      border: none;\n","      border-radius: 50%;\n","      cursor: pointer;\n","      display: none;\n","      fill: #1967D2;\n","      height: 32px;\n","      padding: 0 0 0 0;\n","      width: 32px;\n","    }\n","\n","    .colab-df-convert:hover {\n","      background-color: #E2EBFA;\n","      box-shadow: 0px 1px 2px rgba(60, 64, 67, 0.3), 0px 1px 3px 1px rgba(60, 64, 67, 0.15);\n","      fill: #174EA6;\n","    }\n","\n","    .colab-df-buttons div {\n","      margin-bottom: 4px;\n","    }\n","\n","    [theme=dark] .colab-df-convert {\n","      background-color: #3B4455;\n","      fill: #D2E3FC;\n","    }\n","\n","    [theme=dark] .colab-df-convert:hover {\n","      background-color: #434B5C;\n","      box-shadow: 0px 1px 3px 1px rgba(0, 0, 0, 0.15);\n","      filter: drop-shadow(0px 1px 2px rgba(0, 0, 0, 0.3));\n","      fill: #FFFFFF;\n","    }\n","  </style>\n","\n","    <script>\n","      const buttonEl =\n","        document.querySelector('#df-fd8df599-09d0-41d2-9c3c-b45d205b5087 button.colab-df-convert');\n","      buttonEl.style.display =\n","        google.colab.kernel.accessAllowed ? 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المصنف","userId":"01645315346138749579"}},"outputId":"95f7dfe6-9468-4788-b612-db7ea4b9a1c7"},"execution_count":333,"outputs":[{"output_type":"stream","name":"stdout","text":["<class 'pandas.core.frame.DataFrame'>\n","RangeIndex: 1000 entries, 0 to 999\n","Data columns (total 5 columns):\n"," #   Column       Non-Null Count  Dtype         \n","---  ------       --------------  -----         \n"," 0   timestamp    1000 non-null   datetime64[ns]\n"," 1   vibration    1000 non-null   float64       \n"," 2   temperature  1000 non-null   float64       \n"," 3   pressure     1000 non-null   float64       \n"," 4   status       1000 non-null   object        \n","dtypes: datetime64[ns](1), float64(3), object(1)\n","memory usage: 39.2+ KB\n"]}]},{"cell_type":"code","source":["my_data.isna().sum()"],"metadata":{"colab":{"base_uri":"https://localhost:8080/","height":241},"id":"DKUhEfMCrczv","executionInfo":{"status":"ok","timestamp":1745056517070,"user_tz":-180,"elapsed":32,"user":{"displayName":"مالك المصنف","userId":"01645315346138749579"}},"outputId":"1ffe91aa-3a42-40aa-d021-087bcb588983"},"execution_count":334,"outputs":[{"output_type":"execute_result","data":{"text/plain":["timestamp      0\n","vibration      0\n","temperature    0\n","pressure       0\n","status         0\n","dtype: int64"],"text/html":["<div>\n","<style scoped>\n","    .dataframe tbody tr th:only-of-type {\n","        vertical-align: middle;\n","    }\n","\n","    .dataframe tbody tr th {\n","        vertical-align: top;\n","    }\n","\n","    .dataframe thead th {\n","        text-align: right;\n","    }\n","</style>\n","<table border=\"1\" class=\"dataframe\">\n","  <thead>\n","    <tr style=\"text-align: right;\">\n","      <th></th>\n","      <th>0</th>\n","    </tr>\n","  </thead>\n","  <tbody>\n","    <tr>\n","      <th>timestamp</th>\n","      <td>0</td>\n","    </tr>\n","    <tr>\n","      <th>vibration</th>\n","      <td>0</td>\n","    </tr>\n","    <tr>\n","      <th>temperature</th>\n","      <td>0</td>\n","    </tr>\n","    <tr>\n","      <th>pressure</th>\n","      <td>0</td>\n","    </tr>\n","    <tr>\n","      <th>status</th>\n","      <td>0</td>\n","    </tr>\n","  </tbody>\n","</table>\n","</div><br><label><b>dtype:</b> int64</label>"]},"metadata":{},"execution_count":334}]},{"cell_type":"code","source":["my_data.duplicated().sum()"],"metadata":{"colab":{"base_uri":"https://localhost:8080/"},"id":"6vx-FoO_rgfH","executionInfo":{"status":"ok","timestamp":1745056517085,"user_tz":-180,"elapsed":18,"user":{"displayName":"مالك المصنف","userId":"01645315346138749579"}},"outputId":"9c763c99-9a92-44fd-df6b-4f1d7dc19b38"},"execution_count":335,"outputs":[{"output_type":"execute_result","data":{"text/plain":["np.int64(0)"]},"metadata":{},"execution_count":335}]},{"cell_type":"code","source":["# رسم التوزيع لكل ميزة عددية\n","fig, axes = plt.subplots(1, 3, figsize=(18, 5))\n","sns.histplot(my_data[\"vibration\"], ax=axes[0], kde=True, color=\"orange\").set(title=\"Vibration Distribution\")\n","sns.histplot(my_data[\"temperature\"], ax=axes[1], kde=True, color=\"red\").set(title=\"Temperature Distribution\")\n","sns.histplot(my_data[\"pressure\"], ax=axes[2], kde=True, color=\"blue\").set(title=\"Pressure Distribution\")\n","\n","plt.tight_layout()\n","plt.savefig('Data_Dis.png')\n","plt.show()\n"],"metadata":{"colab":{"base_uri":"https://localhost:8080/","height":200},"id":"k6OY7dTVrv3g","executionInfo":{"status":"ok","timestamp":1745060568180,"user_tz":-180,"elapsed":3369,"user":{"displayName":"مالك المصنف","userId":"01645315346138749579"}},"outputId":"71b03a5f-5000-4fc0-96c3-b6495f8a7f49"},"execution_count":7,"outputs":[{"output_type":"display_data","data":{"text/plain":["<Figure size 1800x500 with 3 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klZOkkn2SzVfq/ZjUa5qla/dl5RW32JX5RUWnuSI/sK0UPcRsa5r7jdSmC5dyAQDgLqqqpC+/NLeHDpWioqRffpEkpUVFaUBiolM/Lj0vz6nH8zq9e0urVkkHD0pLl0qXX251IgAA0EA//SStXdtOkvTb365Tv34+2rCh6ceLjo5WcnKyk9I5R1ycdNFF0hdfSEuWSN27SxEeuuoNAMD5KPrBGjVV0pYZ0s9PSUaNFJoqDXtXih1qdTIVFJWbV+Y/OFpDBzjnyvzPf9ip6a+c5Yr8mBHS4XVSeY5UuFWK6OWUzwYAAC1s9WrpyBFzxtiIEVanwdnYbNL48dKcOdKGDebl83FxVqcCAABn8csv0kcf2R89p7ff/pPefrt5xwwJCVV6+laXK/wNHixt2SLt328W/zxpNiMAoGVR9EPrK94rLf+NlL/KfJw6WRr0ormOnwtJS4rSgB7OuTI/PaMBV+T7BUsxQ6Xcb6WcpVJ4D8nm45TPBwAALaSsTPrhB3P7wgulwEBr86BhkpOlHj2k9HTp22+lG26wOhEAADiDwkLpvfek6mopMfEXZWX9j8aMeUVpaU2/eDwvb5s+/PBG5efnu1zRz2aTLrtMeu01s4v8tm3mjD8AAM6Goh9a1/6F0qpbpMoCyT9COvc1qeOvrU7lOqLPk/JXS8fypYKfpKi+VicCAABnsny5VFFhzhTry/e2Wxk92iz6padL2dlSQoLViQAAQD1qaqT//lcqKTGHXIMGrdQnn9QoMjJNiYn9rY7XYuLizM7xy5ebs/06d5b8/a1OBQBwdUwjQuuorpDW/k764Wqz4Bc9RLp4IwW/k/kGSjHDze1D35mtTwEAgGsqLjZbe0rSmDGsx+tuYmPN9f0k6bvvrM0CAABOa+lSKTNTCggwJ+f7+1dZHanVjBxprudXWGguSQwAwNlQ9EPLK9olfTlM2vGi+bjHH6WLfpDCUiyN5bKiB0u+wdKxI1JhutVpAADA6fzwg1RVJXXoIHXtanUaNMUFF5j327ZJWVnWZgEAAKfYvVtatszcvuIKKTra2jytzd/f7CAvmb+HkhJr8wAAXB9FP7Ssff+RvhggHVkvBUZLIz+V+v9V8qEfwWn5BEhtzzW3Dy2XDMPaPAAA4FRHj0pr15rbzPJzX7GxUp8+5jaz/QAAcCllZdLCheb2oEFSr16WxrFM795SYqJ07Jj0/fdWpwEAuDqKfmgZ1eXSj/9PWv5rqapIih1htvNsf6nVydxD9LmSzU8qz5JKMqxOAwAATrZ8ubnATGqqeYP7ss/2275dOnTI2iwAAMBh0SKzm3p0tDRunNVprGOzSRddZG6vXSsdPmxtHgCAa6PoB+crPSB9PUra9Zokm9Trf6ULl0ohHaxO5j78QqSo2sWoDy23NgsAAKiruFhav97cPv98a7Og+WJipG7dzO2VK63NAgAAJJmdtzdvNgteV11ltrn0ZqmpUlqaec0ZzQkAAGfiZ3UAeJhDy6UfrpPKs6WAKGnYv6R245WZmam8vDynflR6uoevdxczTDq8VirZI5VlS8EJVicCAACSWRiqrjbX8ktJsToNnGHYMHOm3+bN0ujRUps2VicCAMBrlZdLn35qbg8bZg65YA5Rdu2SfvpJGjVKioqyOhEAwBVR9IPz7HpdWnuPVFMpRfaRLlgohXVSZmamevTortLSshb52KKi4hY5ruUCIqXwnlLhz9LhH6X2V1idCAAAlJUdX8vv/PNZy89TJCebZxR/+UX68UfpwgutTgQAgNf65huppMScjD9qlNVpXEe7duZsv127pGXLpMsvtzoRAMAVUfRD89VUSWvvlXa9aj5Ouk46b47kHyZJysvLU2lpmd55+mr16BTrtI/9/Iedmv7KUpWXlzvtmC4nerBZ9Cv4SUq4SPINtjoRAADe7ccfpWPHpPh4qUsXq9PAmYYNk/7zH7OoO2KE1WkAAPBKBw9Ka9aY25deKvlx5rKOCy4wi34bN5rbERFWJwIAuBq+OtE8VaXSsl9LBz+VZJP6PiX1fKjeq957dIrVgB6JTvvo9Azntgt1SSHJUlC8VJ4jHdkoxQy1OhEAAN6rqsos+klmUYhZfo3WEu3ZnXbMbt2ktm2lw4fNNp9BQc45LgAAaJCaGumzz8ztPn3ool6fpCTz97J3r7R8uXTJJVYnAgC4Gop+aLryPOm7y6X8VZJvkLl+X9JVVqfyLDab1HawWVQ9vEaKPo8TjAAAWOWnn6TSUik8XOrZ0+o0biWruFg2SZMmTWqxzygqbmbLdx8fafBgafFic4oBs/0AAGhVGzeaM/0CA6Vx46xO47ouuMAs+m3YYLY/DQmxOhEAwJVQ9EPTFO+Vvv2VVLhdCoiSRn4ixQ63OpVniuwjZX8lHTsiFe+W2qRZnQgAAO9jGNKqVeb2ueeaBSI0WEF5uQxJL48eraFObov6+c6dmr7USS3f+/UzFxI6dEhxeV7QVQIAABdx7Ji0dKm5PXKkFBZmbR5XlpIiJSZKWVnSunXmMtMAANhR9EPjHdlsFvzKsqSQJGn0IimCq91bjE+AFNVPyl8tHV5L0Q8A0GDV1dV6/PHH9c477yg7O1vt2rXTzTffrEceeUS22pnjhmHoscce0xtvvKGCggINHz5cs2fPVhfWq6srI0PKzZX8/aUBA6xO47bSoqI0INF57d4lKd2ZxbmgILOf2Pr16rpnj/OOCwAAzmjFCqm4WIqKMq+vwunZbNKQIdLChWZzgmHDJF9fq1MBAFwFlyijcQ6vl5aMMgt+Eb2lcSso+LWGqIHmfdEOqbKZrasAAF7jmWee0ezZs/Xyyy8rPT1dzzzzjJ599lm99NJLjtc8++yzevHFF/Xqq69q9erVCg0N1fjx450za8qTrF5t3vfrJwUHWxoFLaz2TGPSwYNybnkSAADUp6jILPpJ0oUXUsBqiF69pNBQ83e3davVaQAAroSiHxru8Hrpm7Fmm8no86SLvpdCOlidyjsExUrBHSQZUsEmq9MAANzEihUrdOWVV+rSSy9VSkqKrrvuOo0bN04//vijJHOW36xZs/TII4/oyiuv1DnnnKN58+bp4MGDWrhwobXhXcmRI9KOHeb2kCHWZkHLi4+XkpPlYxiaYnUWAAC8wLffSpWVUocOLJvcUH5+5lLEktmB3jCszQMAcB0U/dAwRzYdL/jFDJPGLDbX8kPriepv3h/ZwGgOANAgw4YN05IlS7SjtmC1adMmLVu2TBdffLEkKSMjQ9nZ2Ro7dqzjPRERERoyZIhWrlxpSWaXtG6ded+5sxQdbW0WtI5BgyRJt0qMuwDAi1VXV2v69OlKTU1VcHCwOnfurD//+c8yTvhuMAxDjz76qBITExUcHKyxY8dq586dFqZ2L0eOSBs2mNsXXWS2rkTDDBpkzoo8eFA6cMDqNAAAV8Gafji7ol3S0vG1Bb+h0ugvJP9wq1N5n4heUtYi6Vi+VLpfCk22OhEAwMU99NBDKiwsVPfu3eXr66vq6mo99dRTmjhxoiQpOztbkhQfH1/nffHx8Y7n6lNRUaGKigrH48LCwhZI7yKqq4+fiaotBMELdO+uCn9/JVdWKjc31+o0AACL2Fulz507V7169dLatWt1yy23KCIiQvfdd5+k463S586dq9TUVE2fPl3jx4/X1q1bFRQUZPFP4Pq+/968viYtTUrmNEejhIZKvXtLmzaZ16h1oBkXAEDM9MPZlB6UvrlIKs+RIvtKoz6n4GcV30Cz8CeZs/0AADiL//znP3r33Xc1f/58rV+/XnPnztVzzz2nuXPnNuu4M2fOVEREhOOWlJTkpMQuKD1dKi2V2rSRuna1Og1ai7+/9tb+u26/b5/FYQAAVqFVess6fNgsWEnSyJHWZnFXAwaY91u2SCzJDQCQKPrhTCqLpe8ulUr2SmGdpdGLpIBIq1N5N3uLz8KfpZpj1mYBALi8P/3pT3rooYc0YcIE9enTR7/97W/1wAMPaObMmZKkhIQESVJOTk6d9+Xk5Dieq8+0adN09OhRx23//v0t90NYzd7ac8AAyYehszfZ3bGjJCnu4EGprMziNAAAK7RUq/SKigoVFhbWuXmjE2f5MUutaZKSpNhYqapK+uknq9MAAFwBZy5QP6NaWjFROrJRCoqTxnwlBZ/+5B9aSUiSuZZiTaVUuN3qNAAAF1daWiqfkwpVvr6+qqmpkSSlpqYqISFBS5YscTxfWFio1atXa+jQoac9bmBgoMLDw+vcPFJenrR3r7m4jP0yaniNI1FR2iDJt6aGs2gA4KXsF091795d/v7+6t+/v+6///5mt0r3qq4Jp1FYGKDNm83tUaMsjeLWThymrl/PUsQAAIp+OI32h16UDnws+QRK5y+UwlKtjgTJHM1F9DG3Czj5BAA4s8svv1xPPfWUPvvsM+3du1cLFizQCy+8oKuvvlqSZLPZdP/99+vJJ5/Uxx9/rJ9++kk33XST2rVrp6uuusra8K5g/XrzvmtXyVMLmzijN+0bG2itDgDeqKVapXtV14TT2Lw5zjHLr317q9O4t3POkXx9pexsqaCgrdVxAAAW87M6AFzPhKFS/OF3zAfnvSXFnv5Kf1ggso906HupeJcCfVhbCABwei+99JKmT5+uu+66S7m5uWrXrp2mTp2qRx991PGaBx98UCUlJZoyZYoKCgo0YsQILVq0SEFBQRYmdwHV1XJcft6vn6VRYJ35kv7u4yOf7GwpJ0c6aSYHAMCzndgqXZL69Omjffv2aebMmZo8eXKdVumJiYmO9+Xk5KjfGcYPgYGBCgwMbNHsri1W27dHS5JGjLA4igcICZF69jQbE2RkdLY6DgDAYhT9UEeQcVj/vL32Qa+HpZQJluZBPQJjpKBEqTxLHUN+sToNAMCFtWnTRrNmzdKsWbNO+xqbzaYZM2ZoxowZrRfMHezeLZWUmGdRunSxOg0scljSofh4xWdlmWfSKPoBgFdpTKt0e5HP3ir9zjvvbO24buReVVf7qH17KTnZ6izStm3bLH2/M/Tvbw5VDhxIluTNBWUAAEU/HFddoU41XykoSCoMGaLwPpz8c1mRfaTsLKWEel8LEAAAWsXGjea9vV8SvFZWcvLxot+FF5rt1gEAXsHeKj05OVm9evXShg0b9MILL+jWW2+VVLdVepcuXZSamqrp06fTKv0MSkt9JN0tSRo+3Nqv1eLiLEk23XjjjU46XpFTjtMUKSlmN/rCwgBJl1uWAwBgPYp+OO7g5wrSUWXmSQXnPaVzfDjB5bIiekvZXyo28LBSYq0OAwCAhyktlbZvN7dp7en1DiUkSAEBUmGhlJkpdexodSQAQCuhVbrzLVwYLamtIiLK1a2btb+j8vKjkgyNGfOK0tKavrTNrl2L9M03D6u8vNx54RrJZpP69JGWL5ek31qWAwBgPYp+MBVskY5uliGbJrxs6OURUVYnwpn4t5FCU6WSDE1gyUUAAJzrp5+kmhopMZF2jlCNr6+5UM7Gjea/DYp+AOA1aJXuXNXV0nvvmVcu9+mTKx8fF+jtKSkyMk2Jif2b/P68POvbe0pS3772ot/FqqhYZnUcAIBFfM7+Eni8Y0elg59KkrJt/bVyp8V50DARvSRJ151rcQ4AADzNpk3mfd++1uaA6+jTx7zfutU8YwkAABrtiy+kX34JlHREXbocsTqOx4mNlSIjD0vy1y+/JFgdBwBgEYp+3s4wpAMLpZoKKbi9smwDrE6EhgrvrhrDpoGpUrBPidVpAADwDHl5UlaW2SOpd2+r08BVpKRIYWFSWZm0a5fVaQAAcEsvvWTf+j/5+9dYGcVjJSfvlSRlZrazNggAwDIU/bzdkfVSyV7J5i91uEay8U/CbfiFKqciRpIUH3DA4jAAAHiILVvM+7Q0KTTU2ixwHT4+Ui+zy4J+/tnaLAAAuKHt26Uvv5RsNkPSP6yO47E6dNgnqUpHjkTo8GGr0wAArMCaft6sskjK/srcjh8tBbaVlGVpJDTO/tL2Sgw6pASKfgAANJ9hmGu2Sczyw6l69ZJWrzbPWlZVSX78pxQAwPts29a09eueeaaDpFj1739A69dnODcUHIKCyiV9I2mcfv5ZOv98qxMBAFqbS/+XanV1tR5//HG98847ys7OVrt27XTzzTfrkUcekc1mkyQZhqHHHntMb7zxhgoKCjR8+HDNnj1bXbp0sTi9izMM6eDnjraeih5idSI0wf7SdhoYuVERfkekYwVSQKTVkQAAcF9ZWdLhw2Yxp3t3q9PA1XToILVpIxUVSbt3S926WZ0IAIBWU1ycJcmmG2+8sQnvDpV0UJK0fv3NtccrclY0nOI/ksZp61aKfgDgjVy66PfMM89o9uzZmjt3rnr16qW1a9fqlltuUUREhO677z5J0rPPPqsXX3xRc+fOVWpqqqZPn67x48dr69atCgoKsvgncGFF26WibZJ8pPaX09bTTZXXBOn7bdLonpIK06WYoVZHAgDAfdln+XXvLgUEWJsFrsdmk3r0kH78UUpPp+gHAPAq5eVHJRkaM+YVpaU17tzDtm3R+v77cEVElGvAgAu1dOkSlZeXt0xQSFogm+11ZWf7KD9fio62Og8AoDW5dNFvxYoVuvLKK3XppZdKklJSUvSvf/1LP/74oyRzlt+sWbP0yCOP6Morr5QkzZs3T/Hx8Vq4cKEmTJhgWXaXVlMpZS02t2OGSkHx1uZBs3zwY23R7+hWin4AADRVTc3x9fxo7YnT6dXLLPpt20aLTwCAV4qMTFNiYv9Gveezz8z7wYODFB6e4vxQOMlhxcYeVm5ujH7+WbrgAqvzAABak0tP7xo2bJiWLFmiHTt2SJI2bdqkZcuW6eKLL5YkZWRkKDs7W2PHjnW8JyIiQkOGDNHKlStPe9yKigoVFhbWuXmVvJVSZYHk10aK5Zvf3S1YU7tR9otUWWxpFgAA3FZmplRcLAUFSWlpVqeBq0pKksLCpIoKac8eq9MAAODycnKkAwckHx+pXz+r03iPDh2yJUlbt1ocBADQ6ly66PfQQw9pwoQJ6t69u/z9/dW/f3/df//9mjhxoiQpO9v8AouPrztTLT4+3vFcfWbOnKmIiAjHLSkpqeV+CFdz7Kh06AdzO+EiyZfWVe4uq0A6WhVlPijabmkWAADclv2MSPfukq+vtVnguuwtPiXOogEA0ADr1pn33btLoaHWZvEm7drlysfHLLrm5VmdBgDQmly66Pef//xH7777rubPn6/169dr7ty5eu655zR37txmHXfatGk6evSo47Z//34nJXYDOV9LRpUU0lGKoHWVp8g9lmhuUPQDAKDxDMNco02Seva0NgtcX69e5v2OHWZbWAAAUK/KSmnzZnN7wABrs3ibgIAqdepkbnOdEgB4F5cu+v3pT39yzPbr06ePfvvb3+qBBx7QzJkzJUkJCQmSpJycnDrvy8nJcTxXn8DAQIWHh9e5eYWyLOlo7Vo1iePNK5XhEXIra4t+xXuk6mPWhgEAwM1E5uebrT0DA+U4OwKcTlKSFBIilZWZbWEBAEC9tm41O2JHRjLEsoK9OcG2bdbmAAC0Lpcu+pWWlsrHp25EX19f1dReUZuamqqEhAQtWbLE8XxhYaFWr16toUOHtmpWt5BT+3uK6CMFJ1qbBU5VXB0uBURJRrVUvMvqOAAAuJWEAwfMDVp7oiF8fKSuXc1tzqIBAHBamzaZ9/36cd25Fbp1M++zsqSjR63NAgBoPS5d9Lv88sv11FNP6bPPPtPevXu1YMECvfDCC7r66qslSTabTffff7+efPJJffzxx/rpp5900003qV27drrqqqusDe9qivdIxbslm48UP9rqNHA6m9SmdjRHi08AABrMJinu4EHzgf1yaOBs7GfRtm8328MCAIA6jh6VMjLM7XPOsTaLtwoNlZKTze3tnCoCAK/hZ3WAM3nppZc0ffp03XXXXcrNzVW7du00depUPfroo47XPPjggyopKdGUKVNUUFCgESNGaNGiRQoKCrIwuYsxjOOz/KIGmTPC4HnCu0v5q6SinZJRYxZ4AQDAGQ2RFFxWJgUESJ07Wx0H7qJTJ8nPTyookHJzpfh4qxMBAOBS7Gv5dewoRXEayjLdupndyLdtk8491+o0AIDW4NJVgTZt2mjWrFnat2+fysrKtHv3bj355JMKCAhwvMZms2nGjBnKzs5WeXm5vv76a3W1t9uBqWiHVHZQ8vGX4i6wOg1aSkiS5BssVZdJpawvAwBAQ1xr3+jWzSziAA1xYpGYFp8AANRhGMeLfn37WpvF23Xvbt7v3WsuRwwA8HwuXfSDExiGdOh7c7vtuZJfqLV50HJsPlJYF3O7aKe1WQAAcAeGoavs2/YzIkBDndjiEwAAOBw8KOXlmddT9expdRrv1ratFBdnnh7cyakiAPAKFP08XfEuc5afzV+KGWp1GrS0NhT9AABoqIiiIqVJqvbxkdLSrI4Dd2PvLpKVZS5cBAAAJEmbNpn3PXpIgYHWZsHx65RoTgAA3oGinyczDCn3O3M7ehCz/LxBWGdJNqnikHSswOo0AAC4tA4HD0qS8uPizHaNQGOEhkpJSeY2l84DACBJqq6Wfv7Z3D7nHGuzwGRvaLFrl1RVZW0WAEDLo+jnyYr3SGUHJJufFDPM6jRoDX7B5tp+ErP9AAA4iw5ZWZKkQ4mJFieB2+pS22WBoh8AAJKkjAyptFQKCZE6dbI6DSQpMVEKC5MqK6V9+6xOAwBoaRT9PFnecvO+7UDJL8zaLGg99hafxZx8AgDgtIqKFHPkiGok5VL0Q1PZi3579phn0gAA8HJbtpj3PXtKPpx1dAk2G9cpAYA34evXU5VlSSUZkmxS9HlWp0FrchT9MqQaTj4BAFCv7dslSaskHQsKsjYL3Fd8vBQebvbK2rvX6jQAAFiqqur4unF9+libBXVR9AMA70HRz1PlrTTvI3pJAZGWRkErC4yT/MIlo0oq2Wt1GgAAXFPtGamPLI4BN2ezSWlp5jZn0QAAXm7nTqmiwrwexr7sLVxDp07mzMvDh6X8fKvTAABaEkU/T3TsqHS0tp9CzFBrs6D12WxSm9qTT6zrBwDAqY4dc8zKouiHZuva1bzfuVMyDGuzAABgIXtrz169zFMTcB2BgVJKirm9Y4elUQAALYyinyfKXy3JkEJTpOB2VqeBFRwtPndbmwMAAFe0Z49UXa2i0FBttzoL3F9qquTrKxUUSHl5VqcBAMASFRXHi0m9e1ubBfWjxScAeAeKfp6m+ph0ZL25HTPM2iywTmiKJJt07LB0rMDiMAAAuJhduyRJB+PjLQ4CjxAQwKXzAACvt3OnuaZf27ZSYqLVaVAfe9Fv3z6zSAsA8EwU/TzN0c1STYUU0FYKS7M6DaziGyQFtze3i/dYmwUAAFdiGMeLfgkJFoeBx7CfRdtNlwUAgHfautW879mT1p6uKjraLMrW1JiNLwAAnominycxDCl/jbnddhCjLG8X1tm8p+gHAMBxeXnS0aOSr69yYmKsTgNP0bl23JWZKVVWWpsFAIBWduyY45oq9ehhbRacWVrt/AD73wsA4Hko+nmS0kypIley+UtR/axOA6uFdTLvS/ZIRo21WQAAcBX2RUxSUlTt52dtFniO6GgpPFyqrjZ7ZgEA4EV27TKveYmMpLWnq7MX/XbvNucOAAA8D0U/T2Kf5RfZR/INtjYLrBfSXvIJkKrLpPJsq9MAAOAa7Jc1p9EGHU5ks0mdai+4ol8WAMDLpKeb9z160HTK1XXsKPn6mo0v8vOtTgMAaAkU/TxFZZFUWDvKij7X2ixwDTZfKTTV3C5mfRkAAFRRcXwWln0NNsBZ7C0+KfoBALxIVZW0Y4e53bOntVlwdgEBUnKyuc1SxADgmSj6eYqCjZJqpJAkKSje6jRwFfYWn6zrBwCAlJEh1dRIUVFmO0bAmVJrL7bKyZGKi63NAgBAK9m921zTLzxcat/e6jRoCPt1ShT9AMAzUfTzBIYhHdlgbkcNsDYLXEtY7UiuNFOqOWZtFgAArEZrT7Sk0NDjCxkx2w8A4CXsrT27d6e1p7uwD4X37jVnagIAPAtFP09Qslc6dkTyCZQi6KWAEwS0lfwjJKNGKtlndRoAAKxjGMeLfrT2REuxr+vHpfMAAC9QUyPt3Glu9+hhbRY0XFycFBYmVVZKmZlWpwEAOBtFP09gn+UX2VvyCbA2C1yLzUaLTwAAJCkvTzp6VPL1lVJSrE4DT3Xiun6GYW0WAABa2C+/SKWlUlCQlJRkdRo0lM1Gi08A8GQU/dycv+2YVLjVfEBrT9TH3uKToh8AwJvZL0NPSZH8/S2NAg+WlCT5+Zlr+h06ZHUaAABa1I4d5n2XLuZ1VXAfJ16nBADwLBT93FxiwH7JqJaCEqSgRKvjwBWFppr3FblSZZG1WQAAsAqtPdEa/PyOzyTl0nkAgIfbvt2879rV2hxovNTaU0XZ2eZsTQCA56Do5+baBdau0xbVjxWTUT+/ECm4nbnNbD8AgDeqqJD21Y6Z0tKszQLPZ1/Xj0vnAQAe7PBhs3u6jw/DK3cUFibFxprb9mEyAMAzUPRzYz3bSxF+BZJ8pIg+VseBKwtlXT8AgBfLyJBqaqSoKCk62uo08HT2ot/evVJVlaVRAABoKfZZfh07mmv6wf3YmxNwnRIAeBaKfm7styNqN9p0MWdzAacTVnvyqWS3ZBjWZgEAoLXZW3tyGTpaQ1ycefl8VZW0f7/VaQAAaBH29fxo7em+TrxOCQDgOSj6uS1DE4fXbkaeY2kSuIGQJMnmL1WVmGv7AQDgTexrq7GeH1qDzXb8LBrr+gEAPFBZ2fGWkBT93FfHjuZ9Xp5UVGRtFgCA81D0c1PxgYeUFC1V1vhLbRhh4Sx8/KTQ2tEcLT4BAN7kyBGpoMBccMZ+ZgNoaZ07m/f0ywIAeKBdu8wmQrGxUtu2VqdBUwUHS4mJ5nZGhrVZAADOQ9HPTaWGZkqSso+1Nws6wNmEpZr3JXstjQEAQKuyF106dJACAqzNAu9hn+mXlSWVlFibBQAAJ6O1p+dIrT1VRNEPADwHRT93VFOp5JCDkqSDx5ItDgO3EZpi3pfsk4waS6MAANBq7Gcw7Gc0gNYQFibFx5vbnEUDAHiQmhqbdu40t7t1szYLmu/Eop9hWJsFAOAcFP3cUdFO+ftUae8hqaAq2uo0cBdBCZJPoFRTIZXnWJ0GAICWZxgU/WAd+7+5vXstjQEAgDPl5UWpokIKCZHat7c6DZorOdnsgn/0qNkRHwDg/ij6uaOjP0uS/r1KkmyWRoEbsfkcX9evhCvOAQBeICdHKi2V/P3N9p5Aa0pJMe8p+gEAPEh2dqwks7WnD2cV3V5AwPFhMksRA4Bn4OvZ3VRXSEVm8/T3VlqcBe7HUfTbZ20OAABag32WX8eOkq+vtVngfTrWjrvy86WiImuzAADgJFlZx4t+8Aw0JwAAz0LRz90UbZeMKhVWhmkjdRs0Fuv6AQC8Ca09YaWgICkx0dzmLBoAwCP0UElJiHx9pc6drc4CZ2FdPwDwLBT93E1ta899pbSoQhPUWdcv2+o0AAC0nOpqaV/tFVKdOlmbBd7LPtuPoh8AwCNcKsksEgUEWBwFTtO+veTnJ5WUSIcOWZ0GANBcflYHQCNUl0nFuyRJe0s6SNrWYh+Vnp7uksdCM9nX9SvaIZXslYLbWZ0IAICWceCAdOyYFBIixcdbnQbeKiVFWrXqeAEaAAC39itJUlqaxTHgVH5+UnKyuaZfRoYUF2d1IgBAc1D0cyeF28yWjIFxKqwKb5GPyMorlk3SpEmTnH7soqJipx8TTRCacrzoFzPM6jQAALQMe2vPlBTJZrM0CrxYx47mvz/7un5t2lidCACAJqmq8pU0QhJFP0+Umnq86DdkiNVpAADNQdHPnRTWzpiL6NliH1FQVC5D0ssPjtbQAV2ccszPf9ip6a8sVXl5uVOOh2Y6eV0/G11+AQAeiPX84AqCgqSEBCkry2zx2aeP1YkAAGiSQ4fiJQUqJKRMbdsGWx0HTmYfMu/dK9XUWBoFANBMFP3cRXWFVLzH3A7vKall12NLS4rSgB6JTjlWekaeU44DJwmKl3yCpJpyqSxLCmlvdSIAAJzr2DFp/35zm/X8YLWUFIp+AAC3l5NjniOKj8+TzZZkcRo4W2KiFBgoVVSYwxYfrg8HALfF/4W7i6IdklEtBURLgTFWp4E7s6/rJ5ktPgEA8DSZmeYlyhERUlSU1Wng7VJSzPu9e61MAQBAs+TmJkgyi37wPD4+x4cs9oYZAAD3RNHPXThae/ZgXRo0n6PF514rUwAA0DL21HZHSE1l3ATrJSeb/w4PH5YKC61OAwBAox05IhUXh0uqVGzsYavjoIV0rL0+PDPT2hwAgOah6OcOaiqlol3mdnjLrecHL2Iv+pVmmuv6AQDgSeyXJ9PaE64gKMjsmSUx2w8A4JZ27bJvrZC/f7WVUdCCTiz6sa4fALgvin7uoGiXZFRK/pFSUILVaeAJguIl3yCp5pi5rh8AAJ6itFTKrl37ODXV2iyAnf0sGkU/AIAb2r3bvrXYyhhoYQkJUkCAua7f4cPBVscBADQRRT93YG/tGd6dFlVwDptNCkkxt0to1g4A8CD2okpsrBQWZmkUwMG+SM6+fZbGAACgsaqrT1zjbZGVUdDCfHzMruSSlJ3NOBoA3BVFP1dnVEtFO83t8B7WZoFnCa294ryEk08AAA9iPyvFLD+4ko4dWdcPAOCW9u+Xjh2TAgPLJW20Og5amL3ol5UVam0QAECTNano16lTJ+Xn55+yv6CgQJ1YO8W5SvZLNeWSb4gU0sHqNPAkddb1oyc/ALSm1hxLHThwQJMmTVJ0dLSCg4PVp08frV271vG8YRh69NFHlZiYqODgYI0dO1Y7d+50aoZWZZ/pR9EPriQwkHX9AMCJOC/Veuzr+cXFZUsyLM2ClmfvSJ6VxUw/AHBXTSr67d27V9XVpxYJKioqdODAgWaHwgmKtpv3bbpINiZmwomC4iXfYNb1AwALtNZY6siRIxo+fLj8/f31xRdfaOvWrXr++ecVFRXleM2zzz6rF198Ua+++qpWr16t0NBQjR8/XuXl5U7L0WpKSqS8PHPbfpky4CrsLT4p+gFAs3FeqvXY1/OLj+e8gTdo107y9ZXKy/0ldbM6DgCgCfwa8+KPP/7Ysb148WJFREQ4HldXV2vJkiVKsf/HLJyjaId536artTngeWw2KSTZLCyX7GMmKQC0gtYeSz3zzDNKSkrSnDlzHPtST5gBZxiGZs2apUceeURXXnmlJGnevHmKj4/XwoULNWHCBKdlaRX29dLi4qSQEGuzACdLSZFWrDCLfoMHW50GANySFeelDhw4oP/5n//RF198odLSUqWlpWnOnDkaNGiQJHM89dhjj+mNN95QQUGBhg8frtmzZ6tLly5OzWGF4mIpO9vcjouj6OcN/PykDh3sw+rzrY4DAGiCRhX9rrrqKkmSzWbT5MmT6zzn7++vlJQUPf/8804L5/Uq8qRjh80ZfmGdrU4DTxRaW/QrzZQ03Oo0AODxWnss9fHHH2v8+PG6/vrr9d1336l9+/a66667dMcdd0iSMjIylJ2drbFjxzreExERoSFDhmjlypXuV/Szz6Cy9yUCXElysnnR1ZEj8i8utjoNALil1h5L2bsmjB49Wl988YViY2O1c+fOersmzJ07V6mpqZo+fbrGjx+vrVu3KigoyGlZrGCf5ZeYKAUFVVgbBq2mY0d70e8Cq6MAAJqgUUW/mpoaSeYV4mvWrFFMTEyLhEIt+yy/kBTJN9DSKPBQIbUnRUszJcMwT0QBAFpMa4+l9uzZo9mzZ+v3v/+9Hn74Ya1Zs0b33XefAgICNHnyZGXXXrodHx9f533x8fGO5+pTUVGhiorjJ34KCwtb5gdoLPtMPzpPwBXZ1/U7eFBhZ/jfFwDg9Fp7LOV1XRNOYi/6deY6dK9y/Pq5CyQdtjAJAKApmrRIXEZGBgW/1lBYW/QLp7UnWkhwgmTzl6rLpYpDVqcBAK/RWmOpmpoaDRgwQE8//bT69++vKVOm6I477tCrr77arOPOnDlTERERjltSUpKTEjdDaamUm2tuM9MPrqp2rcmwLFqkAUBztNZY6uOPP9agQYN0/fXXKy4uTv3799cbb7xRJ8eZuia4M8Og6OetOnSQbDZDUkcdPOhvdRwAQCM1aqbfiZYsWaIlS5YoNzfXcaWV3ZtvvtnsYF6vqqy25aKkNiycixZi8zXX8ivJMNf1C4qzOhEAeI3WGEslJiaqZ8+edfb16NFD//3vfyVJCQkJkqScnBwlJiY6XpOTk6N+/fqd9rjTpk3T73//e8fjwsJC6wt/mbXjppgYKTTU2izA6SQnS6tWMdMPAJygNcZSXtc14QTZ2eY1VQEBUlKStHWr1YnQWgICpNjYUuXmhmr9+jBdeqnViQAAjdGkmX5PPPGExo0bpyVLligvL09Hjhypc4MTFO+UZEiBcVJApNVp4MlCT2jxCQBoFa01lho+fLi2b99eZ9+OHTvUsXYmXGpqqhISErRkyRLH84WFhVq9erWGDh162uMGBgYqPDy8zs1yrOcHd1A70y/4yBG1tTgKALiz1hpLeVXXhJPs2WPep6RIvr6WRoEFEhLM9Yc3bAizOAkAoLGaNNPv1Vdf1VtvvaXf/va3zs4DO/t6fm1o7YkWFmKefFLJPtb1A4BW0lpjqQceeEDDhg3T008/rRtuuEE//vijXn/9db3++uuSJJvNpvvvv19PPvmkunTpotTUVE2fPl3t2rXTVVdd1aLZnI71/OAOQkPN2ah5eRpudRYAcGOtNZbyqq4JJ8nIMO9PWMIQXiQxsVibN8dr/XqKfgDgbpo00+/YsWMaNmyYs7PAzqiWinaZ26znh5YW0kGy+UhVRVJlgdVpAMArtNZYavDgwVqwYIH+9a9/qXfv3vrzn/+sWbNmaeLEiY7XPPjgg7r33ns1ZcoUDR48WMXFxVq0aJGCgoJaPJ/TlJebPagkZvrB9dXO9jvf4hgA4M5aayzlVV0TTlBVdfx6qk6drM0CayQklEiq0b59QcrJsToNAKAxmlT0u/322zV//nxnZ4FdSaZUUyH5hkjB7a1OA0/n4y8FtTO3S2jxCQCtoTXHUpdddpl++uknlZeXKz09XXfccUed5202m2bMmKHs7GyVl5fr66+/VteubnbRkX09v7ZtpTZtrM0CnA1FPwBottYaSz3wwANatWqVnn76ae3atUvz58/X66+/rrvvvltS3a4JH3/8sX766SfddNNN7tk14QS//GIW/kJDpdhYq9PACoGB1ZJ+kiT98IO1WQAAjdOk9p7l5eV6/fXX9fXXX+ucc86Rv79/nedfeOEFp4TzWie29rQ1qS4LNE5oslT2i1S6T4rqa3UaAPB4jKWcjPX84E5q/50OlPRzWZm1WQDATbXWWMreNWHatGmaMWOGUlNT6+2aUFJSoilTpqigoEAjRoxwv64JJ7Gv55eaygog3u17SX31/ffSdddZnQUA0FBNKvpt3rzZ0Zt8y5YtdZ6zMRpoHsNgPT+0vpCOklYw0w8AWgljKSdjPT+4k4gIHQsNVUBJiUJ++kkazup+ANBYrTmWuuyyy3TZZZed9nl714QZM2Y49XOtZF/Pj9ae3u57Sffq+++tzgEAaIwmFf2WLl3q7BywO5YvHTss2XylsM5Wp4G3CK1dMPxYvlRVbG0WAPACjKWcqKJCysoyt5npB3dgs6k4IUFtd+9W2MaNVqcBALfEWKrlVFRIBw6Y26mp1maB1cy+nps3S0eOSFFRFscBADSIy/eOPHDggCZNmqTo6GgFBwerT58+Wrt2reN5wzD06KOPKjExUcHBwRo7dqx27txpYeJmKqxdIDo0RfINsDQKvIhvsBQYZ24z2w8A4E727zc7JURGShERVqcBGqQ4MVGSFLZhg8VJAACoa98+c2gVFWUOr+DNctSxY7kMQ1qxwuosAICGatJMv9GjR5+xXcI333zT5EAnOnLkiIYPH67Ro0friy++UGxsrHbu3KmoEy4tefbZZ/Xiiy9q7ty5Sk1N1fTp0zV+/Hht3brVPfunF+8y79t0sTYHvE9oslSRK5VmSuLyLQBoSa01lvIK9vX8aO0JN1KckCBJCt28WaqslE5aiwoAcGaMpVrOiev5AX37lmjfviAtXy5deqnVaQAADdGkop+9b7pdZWWlNm7cqC1btmjy5MnOyCVJeuaZZ5SUlKQ5c+Y49qWeMOowDEOzZs3SI488oiuvvFKSNG/ePMXHx2vhwoWaMGGC07K0iupjtQUXSWFp1maB9wntKB1eK5Xsk9TX6jQA4NFaayzlFezr+dHaE26kPCpKhyW1LS+XNmyQzj3X6kgA4FYYS7Uc1vPDifr1K9bHH0dr+XKrkwAAGqpJRb+//e1v9e5//PHHVVzsvPXAPv74Y40fP17XX3+9vvvuO7Vv31533XWX7rjjDklSRkaGsrOzNXbsWMd7IiIiNGTIEK1cufK0Rb+KigpVVFQ4HhcWFjotc7OU7JWMGsk/Ugpoa3UaeJuQ2pOl5Tny8TlmbRYA8HCtNZbyeMeOSQcPmtsU/eBObDYtk3SFJP3wA0U/AGgkxlIto7hYys01t5npB8mc6SdJP/5oDr0DWIkIAFyeU9f0mzRpkt58802nHW/Pnj2aPXu2unTposWLF+vOO+/Ufffdp7lz50qSsrOzJUnx8fF13hcfH+94rj4zZ85URESE45aUlOS0zM3iaO2ZJp2hTQXQIvzbSP5RkgyFKcfqNADglZw9lvJ4v/wi1dRI4eEsOgO3s8yxsexMLwMANAJjqeaxz/JLSJBCQqzNAteQklKh6GjJ3pwAAOD6nFr0W7lypVPX0aupqdGAAQP09NNPq3///poyZYruuOMOvfrqq8067rRp03T06FHHbf/+/U5K3EzFu837sM7W5oD3Ck2WJIUZWRYHAQDv5OyxlMc7sbUnF0zBzfxg31i2TDIMK6MAgMdgLNU8rOeHk9ls0rBh5jYtPgHAPTSpvec111xT57FhGMrKytLatWs1ffp0pwSTpMTERPXs2bPOvh49eui///2vJCkhIUGSlJOTo8TERMdrcnJyTunvfqLAwEAFBgY6LadTHDsiHTssyUcKZXQFi4QkSwWbFGacfqYsAKD5Wmss5fHsF24lJ1ubA2iCdZJqAgPlk5cnbdsm9ehhdSQAcBuMpZzPMI7P9KPohxMNHy598olZ9Pv9761OAwA4myYV/SIiIuo89vHxUbdu3TRjxgyNGzfOKcEkafjw4dq+fXudfTt27FDH2jVbUlNTlZCQoCVLljiKfIWFhVq9erXuvPNOp+VoFUW1rT1DkiRfFytIwnuEmv/bClGuAv0tzgIAHqy1xlIerbrabO8pUfSDW6qUVNK7t9qsW2eu60fRDwAajLGU8x05Ih09Kvn4sFQy6ho+3LxfvtwsDtNgAwBcW5OKfnPmzHF2jno98MADGjZsmJ5++mndcMMN+vHHH/X666/r9ddflyTZbDbdf//9evLJJ9WlSxelpqZq+vTpateuna666qpWyeg09taebWjtCQsFtJV8Q+VTXaJBXNkHAC2mtcZSHi07W6qslIKCpNhYq9MATVLcv//xot+UKVbHAQC3wVjK+eyz/Dp0kAICrM0C1zJokPlvIifHbAHbmVOXAODSmlT0s1u3bp3S09MlSb169VL//v2dEspu8ODBWrBggaZNm6YZM2YoNTVVs2bN0sSJEx2vefDBB1VSUqIpU6aooKBAI0aM0KJFi9yrh3tNtVRSO7oKS7M2C7ybzWau61eYrhHdrA4DAJ6vpcdSHi0z07xPTuZyY7itYvv/5n/44cwvBADUi7GU87CeH04nKEgaOFBaudKc7UfRDwBcW5OKfrm5uZowYYK+/fZbRUZGSpIKCgo0evRovffee4p14tXWl112mS677LLTPm+z2TRjxgzNmDHDaZ/Z6sr2SzXHJN8QKSjB6jTwdiEU/QCgpbXmWMpjnVj0A9xUyTnnSL6+0r59ZrvaDh2sjgQAboGxlHMZhrR3r7ndqZOlUeCihg8/XvS76Sar0wAAzsSnKW+69957VVRUpJ9//lmHDx/W4cOHtWXLFhUWFuq+++5zdkbPV1Tb2jOsM1eqw3qh5snT4V0lGTXWZgEAD8VYqpkMg6IfPEJNSIhUuza5li+3NAsAuBPGUs6VmyuVlkr+/lL79langSs6cV0/AIBra1LRb9GiRfrHP/6hHicsNt+zZ0+98sor+uKLL5wWzmsU7zLvw5gfDxcQlKBq+SkqVAo6tsfqNADgkRhLNVN+vnlmys9PSky0Og3QPPazaMuWWZsDANwIYynnss/yS042J6ADJxs2zLz/+WfpyBFrswAAzqxJRb+amhr5+/ufst/f3181NcwMapSqYqk829xuQ9EPLsDmoxLFS5LCSjdamwUAPBRjqWayz/Jr394s/AHubMQI855L5wGgwRhLOZe96Nexo6Ux4MLi4qQuXcztlSutzQIAOLMmFf3GjBmj3/3udzp48KBj34EDB/TAAw/owgsvdFo4r1BcO5MqKEHyC7M2C1CrxFZb9CvbYHESAPBMjKWayV70S0qyNgfgDPaZfps2SYWF1mYBADfBWMp5DMNcWlaSUlIsjQIXR4tPAHAPTSr6vfzyyyosLFRKSoo6d+6szp07KzU1VYWFhXrppZecndGznbieH+Aiim1mq7RQZvoBQItgLNVM9qIfl6PDE7RrJ6WmSjU10qpVVqcBALfAWMp5cnOlsjJzPb927axOA1dG0Q8A3EOT+iElJSVp/fr1+vrrr7Vt2zZJUo8ePTR27FinhvN4hnHCen5p1mYBTlCiOFVVS4HKlkoypdBkqyMBgEdhLNUMRUXHFxLp0MHaLICzDB8uZWSYZ9HGjbM6DQC4PMZSzpORYd6znh/Oxl70+/FHqbLSLBQDAFxPo2b6ffPNN+rZs6cKCwtls9l00UUX6d5779W9996rwYMHq1evXvrhhx9aKqvnKc+WqkslnwAphPZUcB01Nn9t2Fv74BCXcAGAszCWcgL7LL/4eCkoyNosgLPY1/VbtszaHADg4hhLOR+tPdFQ3bpJbduaM0M3sBoMALisRhX9Zs2apTvuuEPh4eGnPBcREaGpU6fqhRdecFo4j1dc29ozNEXy4XIquJZlO2o3DnHyCQCchbGUE9iLfsnMQocHsV86v3q1eek8AKBejKWcyzCkvXvNbYp+OBsfH2nYMHObFp8A4LoaVfTbtGmTfvWrX532+XHjxmndunXNDuU1imt7KIR1sjYHUI9l22s3KPoBgNMwlnKC/fvNe4p+8CQ9e0qRkVJJibRpk9VpAMBlMZZyrpwcqbxcCgiQEhOtTgN3wLp+AOD6GlX0y8nJkf8ZGjb7+fnp0KFDzQ7lFWqqpNLaK9VDU63NAtTDUfQr+Ek6VmBlFADwGIylmqmiQsrONrcp+sGTcOk8ADQIYynnss/yYz0/NNSJRT/DsDYLAKB+jSr6tW/fXlu2bDnt85s3b1YilwY1TOkvklEl+YVJgbFWpwFOkVsolfsnSzKkQyusjgMAHoGxVDP98ot5diEyUqqnrRfg1ljXDwDOirGUc9mLfh07WhoDbmTQIMnf37wOLyPD6jQAgPo0quh3ySWXaPr06SovLz/lubKyMj322GO67LLLnBbOo5XsMe9DUyWbzdoswGkUh/QzN2jxCQBOwViqmVjPD56MS+cB4KwYSzmPYUj79pnbqTSgQgMFB0sDB5rbNCcAANfk15gXP/LII/rwww/VtWtX3XPPPerWrZskadu2bXrllVdUXV2t//3f/22RoB7HsZ4fIyu4rpLgfoo5+jFFPwBwEsZSzUTRD55s8GDz0vmsLPPS+U6s+w0AJ2Ms5Tys54emGj5cWrXKLPr99rdWpwEAnKxRRb/4+HitWLFCd955p6ZNmyaj9gpUm82m8ePH65VXXlF8fHyLBPUo1RVS2QFzm/X84MIcM/3yfzT/3foGWpoHANwdY6mms1VXm+09JYp+8Ez2S+ftZ9Eo+gHAKRhLOY+9NWNysrm0LNBQw4dLzz/PTD8AcFWNKvpJUseOHfX555/ryJEj2rVrlwzDUJcuXRQVFdUS+TxTyV5JhhQQJQVEWhwGOL0K/2QpKE4qz5UOr5Nih1kdCQDcHmOppgnOz5eqqszCSEyM1XGAljFihFn0W7aMS+cB4DQYSzmHvbVnSoqlMeCGhtWeGvr5Z6mgwFxuGwDgOhpd9LOLiorS4MGDnZnFe5TUXk7FLD+4OptNih0h7f9QOvQDRT8AcCLGUo0TlpVlbiQnsx4yPNeIEdJzz5lFPwDAGTGWarqaGop+aLr4eCktTdq1S1q5Urr4YqsTAQBOxAR+KzjW86NlD9xA7AjzPpeTTwAA64RlZ5sbtPaEJ7NfOr91q3T4sLVZAAAei/X80FzDh5v3tPgEANdD0a+1VRVLFbnmNjP94A7sRb+85ZJRY20WAIDXougHrxAbK3XrZm6vWGFtFgCAx9q717zv2JH1/NA0FP0AwHXx1d7a7LP8ghIkvxBrswANEdVP8g2Rjh2RjqZbnQYA4IW6S/KrqJD8/LgcHZ6Ps2gAgBZmL/rR2hNNZR+urF4tVVZamwUAUBdFv9bGen5wNz7+Usx55vYhWnwCAFrfCPtGhw6Sr6+VUYCWN6L2Xzzr+gEAWgDr+cEZuneXoqKksjJp40ar0wAATkTRr7U51vOj6Ac3Enu+eU/RDwBgAUfRLynJyhhA67BfOr9mjVRRYW0WAIDHyc42v14CA6WEBKvTwF35+BxfipjmBADgWij6taZjR6TKAkk+UkhHq9MADRdXe7r10A/W5gAAeKXz7Rus5wdv0KWLubZfRYW0bp3VaQAAHob1/OAsdCQHANfE13trKt5j3od0kHwDrM0CNEb0EMnmK5Xsk0r2W50GAOBF/HNz1UmSYbMx0w/ewWbjLBoAoMXYW3t25Fp0NNOJwxXDsDYLAOA4in6tifX84K7820hR/cztQ5x8AgC0ntDaRULK2rY1+1AB3oB1/QAALYD1/OBMgwZJfn5SVtbxf1cAAOtR9GsthsF6fnBvsfYWn5x8AgC0nrDaol8xi87Am3DpPACgBbCeH5wpJEQaMMDcpjkBALgOin6tJFiHpepSyeYvBXewOg7QeBT9AAAWKBo8WPMkFdLaE95kwAApKEjKz5e2b7c6DQDAQ7CeH5yNjuQA4Hr4im8lbYwD5kZoR8nH19owQFPYi34Fm6VjR63NAgDwGkdHj9ZkSYXJyVZHAVpPQIB07rnmNi0+AQBOYi/60doTzjJsmHm/YoW1OQAAx1H0ayWOoh+tPeGughOksDRJhpTHaA4AAKBF2df149J5AIATsJ4fWoJ9pt9PP0mFhdZmAQCYKPq1Aj9fKUzZ5oNQin5wY3G0+AQAAGgV9rNozPQDADhBXl6Ijh0zu0fHx1udBp4iMVFKTTWLyqtWWZ0GACBR9GsV53aWfFUp+QZLQayUDDfGun4AAACtY+hQyWaTdu2ScnKsTgMAcHNZWWGSWM8PzkeLTwBwLXzNt4ILe9VuhKaa/+EOuCt70S//R6m6wtosAAAAniwqSurd29ymxScAoJkOHjxe9AOcyd6cgOEKALgGin6twFH0Yz0/uLs2XaXAWKm6XDq83uo0AAAAno2zaAAAp/BVdrZZ9Evl1BSczD7Tb9UqqarK2iwAAIp+Lc6npkxDu9Q+CO1kaRag2Wy2E1p8/mBtFgAAAE83onbcxbp+AIBmGaDKSl/W80OL6N1bCg+XioulLVusTgMAoOjXwkJLNyjAT6pQmBQQZXUcoPlY1w8AAKB12Gf6rV8vlZZamwUA4MZGSTJbe7LqDJzN11c67zxzm+YEAGA9in4tLLx0jSSpyNaOkRU8g6Pot1wyaqzNAgAA4Mk6dpTatzd7Zf34o9VpAABua5QkKSXF0hDwYPYWnxT9AMB6FP1aWIV/O/24WypSB6ujAM7Rtr/kGywdOywVbrM6DQAAgOey2VjXDwDQLJWVknS+JIp+aDn24cqKFdbmAABQ9GtxeVHXa8ij0hGfNKujAM7h4y/F1PZtoMUnAABAy2JdPwBAM2zbFiKpjQIDq1jPDy1myBDJx0fat086cMDqNADg3Sj6AWi8WPMqQeVy8gkAAKBFnXjpfHW1tVkAAG5n3bowSVJiYjGrzqDFtGkjnXOOuU1zAgCwFkU/AI3nWNfvB2tzAAAAeLpzzpHCwqTCQunnn61OAwBwMwcPBkiS2rUrtjgJPB0tPgHANVD0A9B4MedJNh+pZK9U+ovVaQAAADyXn590Xm1rdVp8AgAa6eGHf5EUoy5dDlsdBR6OZYgBwDVQ9APQeP5tpMh+5vYhRnMAAAAtyr6uH2fRAABNkq/AQFpEo2UNG2beb9gglZRYmwUAvBlFPwBN42jxyRXnAAAALcp+6Twz/QAAgItKTpbatzeXIF6zxuo0AOC9KPoBaJo4in4AAACtYsgQyddXysyU9u+3Og0AAMApbDZafAKAK6DoB6Bp7DP9CjZLx45amwUAAMCTtWkj9e1rbnMWDQAAuCh7i0+GKwBgHYp+AJomOFEK6ywZNVLeSqvTAAAAeDbW9QMAAC7OPtNv5UqppsbaLADgrfysDgDAjcWOkIp3my0+2/3K6jQAAACea8QI6cUXWdcPAAC0mm3btjXq9TU1UlDQOSoo8NWHH6br3HNDlZyc3ELpAAD1oegHoOliR0gZc1nXDwAAoKXZL53fvFkqLJTCw63NAwAAPFZxcZYkm2688cYmvPsbSaN1/fV/U0jIfKWnb6XwBwCtiKIfgKazr+uXv1qqrpB8A63NAwA4o7/85S+aNm2afve732nWrFmSpPLycv3hD3/Qe++9p4qKCo0fP17/+Mc/FB8fb21YAHW1ayelpkoZGdKqVdK4cVYnAgAAHqq8/KgkQ2PGvKK0tKGNeu+aNYnasEFKTn5ImZlvKD8/n6IfALQiin4Ami68mxQUJ5XnSvlrpLgRVicCAJzGmjVr9Nprr+mcc86ps/+BBx7QZ599pvfff18RERG65557dM0112g564YBrmf4cLPot2wZRT8AANDiIiPTlJjYv1Hv6dFD2rBBKiho10KpAABn4mN1AABuzGaT4kaa27nfWhoFAHB6xcXFmjhxot544w1FRUU59h89elT/93//pxdeeEFjxozRwIEDNWfOHK1YsUKrVq2yMDGAeo2ovcCKojwAWOIvf/mLbDab7r//fse+8vJy3X333YqOjlZYWJiuvfZa5eTkWBcSsFiHDuZ9YWGQpDhLswCAN6LoB6B5HEW/76zNAQA4rbvvvluXXnqpxo4dW2f/unXrVFlZWWd/9+7dlZycrJUrV7Z2TABnY1/Xb9UqqbLS2iwA4GXO1DXhk08+0fvvv6/vvvtOBw8e1DXXXGNRSsB6wcFSbKz9UeNagwIAmo+iH4DmiRtl3h9aLlUfszQKAOBU7733ntavX6+ZM2ee8lx2drYCAgIUGRlZZ398fLyys7NPe8yKigoVFhbWuQFoBT17SpGRUmmptGmT1WkAwGvQNQFonKQk+9ZwK2MAgFei6AegeSJ6SoExUnWZdHit1WkAACfYv3+/fve73+ndd99VUFCQ0447c+ZMRUREOG5Jx/+rHkBL8vGRhg0zt5ctszYLAHgRZ3dN4AIqeLrkZPvWCCtjAIBXougHoHlY1w8AXNa6deuUm5urAQMGyM/PT35+fvruu+/04osvys/PT/Hx8Tp27JgKCgrqvC8nJ0cJCQmnPe60adN09OhRx23//v0t/JMAcGBdPwBoVS3RNYELqODpjhf9BqmszGZlFADwOhT9ADSfveiXw7p+AOBKLrzwQv3000/auHGj4zZo0CBNnDjRse3v768lS5Y43rN9+3ZlZmZq6NDTr78RGBio8PDwOjcArcS+rt+yZZJhWJsFADxcS3VN4AIqeLrISCk09Jgkf23ZEmp1HADwKn5WBwDgAeJHmfd5y6WaSsnH39I4AABTmzZt1Lt37zr7QkNDFR0d7dh/22236f+3d9/hUVRvG8e/m56QkAAJIaE3IdKLICgdwYYovIoKCNafCjbsBbFj79iwYEGwABZARJEgCChdSuglCAmQQEJCCinz/nEkEKlJdjO7m/tzXXPN7uzs7DOzJSfzzHnOqFGjqFq1KpUrV+aOO+6gU6dOnHvuuXaELCKnc8454O8PycmwbRs0aGB3RCIiXuvYqglHFBQU8Pvvv/P222/z888/F1VNOLa33+mqJgQGBhIYGOjK0EVs5XBAdPQhtm4NYMWKULvDERGpUDyqp9/zzz+Pw+Hg7rvvLlqWk5PDiBEjqFatGqGhoQwcOJA9e/bYF6RIRRTeDAKqQv4h2L/M7mhERKQEXnvtNS699FIGDhxI165dqVGjBlOnTrU7LBE5meBgaNfO3Na4fiIiLuWqqgkiFUFMTCYAK1aop5+ISHnymJ5+S5Ys4f3336dly5bFlt9zzz3MmDGDb775hvDwcEaOHMmAAQP4Q2NciJQfh48p8fnPNNgTD5HqHSIi4q7i4+OL3Q8KCmLcuHGMGzfOnoBEpOTOPx8WLzbj+l13nd3RiIh4LVVNECm9GjVM0u/vvyuRnw9+HnMWWkTEs3lET7/MzEwGDx7M+PHjqVKlStHy9PR0PvroI1599VV69uxJu3bt+OSTT1i4cCGLFy+2MWKRCujIuH57Na6fiIiIiEsdO66fiIjYSlUTRE6satUc4ADZ2b6sXGl3NCIiFYdHJP1GjBjBJZdcQu/evYstX7ZsGXl5ecWWN23alDp16rBo0aLyDlOkYov+N+m3bwEU5tsbi4iIiIg3O5L0W7cO9u+3NxYRkQomPj6e119/vej+kaoJ+/fv59ChQ0ydOvWU4/mJVBQOB4CpxDZ/vq2hiIhUKG6f9Js8eTLLly9n7Nixxz2WnJxMQEBAscGSAaKjo0lOTj7pNnNzczl48GCxSUTKKKIlBFSB/EzYv9zuaERERES8V1QUNGlibmtYAxEREXFbJtunpJ+ISPlx66Tfzp07ueuuu5g4cSJBQUFO2+7YsWMJDw8vmmrXru20bYtUWA4fiOpibu+NtzUUEREREa/X5d921++/2xuHiIiIyEmZUuQLFoBl2RyKiEgF4dZJv2XLlrF3717atm2Ln58ffn5+zJs3jzfffBM/Pz+io6M5fPgwaWlpxZ63Z8+eU5ZSePjhh0lPTy+adu7c6eI9Eakgorubucb1ExEREXGtbv+WVp+ndpeIiIi4q6UEBBSybx9s3Gh3LCIiFYNbJ/169erF6tWrWblyZdHUvn17Bg8eXHTb39+fOXPmFD1nw4YNJCYm0qlTp5NuNzAwkMqVKxebRMQJqv978mnvfI3rJyIiIuJKR5J+y5aBhisQERERt3SY5s0PASrxKSJSXvzsDuBUwsLCaN68ebFllSpVolq1akXLb7zxRkaNGkXVqlWpXLkyd9xxB506deLcc8+1I2SRii2iFfiHQ146HFgJ1drbHZGIiIiId6pdG+rXh23bzLh+F11kd0QiIiIix2nT5hDLl4cxfz7cdJPd0YiIeD+3Tvqdiddeew0fHx8GDhxIbm4uffv25Z133rE7LJGKycfXjOu3e7oZ109JPxEREZGTSkhIKNPz6zZvTrVt20j+6it2R0cXLY+MjKROnTplDU9ERESkzNq0yQTU009EpLx4XNIvPj6+2P2goCDGjRvHuHHj7AlIRIqL7m6SfnviIe4+u6MRERERcTtJmZk4gCFDhpRpO9cBnwLbPv2Uzp9+WrQ8JDiYhPXrlfgTERER27VseQgfH1OcYNcuqFnT7ohERLybxyX9RMTNRfcw872/Q2Ee+PjbG4+IiIiIm0nLycEC3u7Rg06NG5d6OwEZGTBpEuc6HKwYPpxCf38S9u1jyLRppKSkKOknIiIitgsNLaRVK1ixAhYsgEGD7I5IRMS7KeknIs5VpTUEVIXD+yH1L4g6z+6IRERERNxSoypVaBsTU/oNxMRAeDiO9HRa5+WBknwiIiLihrp0MUm/+fOV9BMRcTUfuwMQES/j8IEavczt5F/tjUVERETE29Wta+bbt9sahoiIiMjJdOli5hrXT0TE9ZT0ExHnq3GBmSvpJyIiIuJa9eqZ+Y4dtoYhIiIicjJHkn6rV0Namq2hiIh4PSX9RMT5avQ285TFkJdhbywiIiIi3uxIT79duyAvz95YRERERE4gOhoaNwbLgj/+sDsaERHvpqSfiDhfaH0IbQBWPuz93e5oRERERLxXlSoQFgaFhfDPP3ZHIyIiInJCR3r7zZtnbxwiIt5OST8RcY0jvf2Sf7E3DhERERFv5nAcLfGpcf1ERETETfXoYebx8baGISLi9ZT0ExHXKEr6aVw/EREREZc6UuJT4/qJiIiIm+rWzcyXLYODB+2NRUTEmynpJyKuEd0TcED6WshOsjsaEREREe91pKffP//gyM+3NRQRERGRE6ldGxo2NBXJ58+3OxoREe/lZ3cAIuKlAqtB1bawfxkkz4H6Q+yOSERERMQ7Va0KoaGQmUmlvXvtjkbcXGJiIikpKS7ZdmRkJHXq1HHJtkVExPP16AFbtpgSn5dcYnc0IiLeSUk/EXGdGr3/Tfr9qqSfiIiIiKs4HKbE59q1hCapwoKcXGJiInFNm5KVne2S7YcEB5Owfr0SfyIickLdu8OHH8LcuXZHIiLivZT0ExHXqdEb1r0Ayb+AZZkTUiIiIiLifEr6yRlISUkhKzubL664grioKKduO2HfPoZMm0ZKSoqSfiIickLdu5v5ihWQlgYRETYGIyLipZT0ExHXiToffIMgezccXA/hcXZHJCIiIuKd/h3XL3TPHgLsjUQ8QFxUFG1jYuwOQ0REKpiaNaFxY9i0yYzr16+f3RGJiHgfH7sDEBEv5htkEn9gSnyKiIiIiGtERkKlSvgUFNDR7lhERERETqJHDzOPj7c1DBERr6Wkn4i4Vo3eZq6kn4iIiIjrOBxQvz4AvW0ORURERORkjpT41Lh+IiKuoaSfiLjWkaTfnrlQmG9vLCIiIiLerEEDAHrZHIaIiIjIyRxJ+q1cCQcO2BmJiIh30ph+IuJaEa0hoCoc3g+pf0FUZ7sjEhEREfFO/yb9OgJrMjPtjUXEQyQmJpKSkuKSbUdGRlKnTh2XbFtExFPFxECTJrBhA/z+O/Tvb3dEIiLeRUk/EXEtH1+o0QsSv4HkX5T0ExEREXGV8HBywsMJSk8nbPly6NrV7ohE3FpiYiJxTZuSlZ3tku2HBAeTsH69En8iIv/Ro4dJ+sXHK+knIuJsSvqJiOvV6GOSfrtnQYsxdkcjIiIi4rUyatY0Sb8//7Q7FBG3l5KSQlZ2Nl9ccQVxUVFO3XbCvn0MmTaNlJQUJf1ERP6je3d47z2T9BMREedS0k9EXC/2QjNP/RNyUiAo0t54RERERLxURmwsUevWEfbXX3aHIuIx4qKiaBsTY3cYIiIVxpFx/Vatgv37oWpVW8MREfEqPnYHICIVQEgtiGgBWJA82+5oRERERLxWRmwshUDw1q2we7fd4YiIiIgcJzoa4uLAssy4fiIi4jxK+olI+Yi92Mx3/2RvHCIiIiJerCAoiGVH7syZY2coIiIiIid1pLff3Lm2hiEi4nWU9BOR8hFzkZknzQKr0N5YRERERLzYr0U3fj3VaiIiIiK26dHDzDWun4iIcynpJyLlI6oz+FeG3BRIXWp3NCIiIiJeq1jSz7LsDEVERETkhLp1M/O//4aUFHtjERHxJkr6iUj58PGHGheY20kq8SkiIiLiKn8AhYGBZky/9evtDkdERETkONWrQ/Pm5rZKfIqIOI+SfiJSforG9ZtpbxwiIiIiXiwXyGzd2txRiU8RERFxUxf8e2347Nn2xiEi4k2U9BOR8hNzoZmnLoHsPfbGIiIiIuLFMs45x9xQ0k9ERETcVJ8+Zj57tiqSi4g4i5J+IlJ+QmKhanvAgt0z7I5GRERExGtldOxobsTHQ36+rbGIiIiInEjXrhAQAImJsHGj3dGIiHgHJf1EpHzVvMzMd/1gbxwiIiIiXiyrSROoUgUOHoSlS+0OR0REROQ4ISHQpYu5rRKfIiLOoaSfiJSvWv3MPGk25GfbG4uIiIiIt/L1hZ49zW2V+BQRERE3dWyJTxERKTsl/USkfEW0gpDaUJANe+bYHY2IiIiI9+rd28yV9BMRERE3dSTpN3cuHD5sbywiIt5AST8RKV8Ox9ESn/+oxKeIiIiIyxxJ+v3xB2Rk2BuLiIiIyAm0bAnVq8OhQ7Bokd3RiIh4PiX9RKT81fo36bd7OliF9sYiIiIi4q0aNYKGDSE/H+aowoKIiIi4Hx8fuOACc1slPkVEyk5JPxEpf9W7gV8YZCdB6lK7oxERERHxXhddZOY//WRvHCIiIiIncaTE5y+/2BuHiIg3UNJPRMqfbyDEXmhu/zPN3lhEREREvNmRpN+sWWBZ9sYiIiIicgJHevotXQqpqfbGIiLi6ZT0ExF71B5o5onf6gSUiIiIiKt07w6BgZCYCAkJdkcjIiIicpyYGGjRwpweUkVyEZGyUdJPROwRezH4BELmZkhbbXc0IiIiIt4pJMQk/kAlPkVERMRtaVw/ERHnUNJPROzhHwYxfc3tnVPsjUVERETEm134b1l1Jf1ERETETR0Z12/2bBWEEhEpCz+7AxCRCqzO/8GuH0zSr+WTdkcjIiIi4p0uugjuuQfmz4fMTAgNtTsisZmjoAAOHICMDPOZODLPzYW8vKNTfv6/T3CAj8/ReUDA0SkwEAIDqXL4MD2AoE2boGZNqFYN/HTKQUREzkyXLuZPys6dsGEDNG1qd0QiIp5JLXARsU/NfuDjD+lrIX09hKtFJyIiIuJ0Z50F9evDtm1moJz+/e2OSMrTP//An3/C2rXUnz+fNcDZH3/s9G4U9YHfAK6+2ixwOKBqVYiOhlq1oE4dqF3bTMfeDg52ahwiIuKZQkJM4u/XX01vPyX9RERKR0k/EbFPQARE94KkWaa3X/ijdkckIiIi4n0cDrjkEnj7bZg+XUk/b7drF8THm2nuXNiypeihKv9OWJbphRcaCmFhZh4aahJwfn7g7390AigsNM+xLCgoML0Ac3Ph8GEz5eSQceAAiUlJnBURgX96ulk3NdVM69adPN7ISJP8q1cPGjYsPtWpo96CIiIVSJ8+R5N+d95pdzQiIp5JrWcRsVed/zNJv8SvobmSfiIiIiIu0a/f0aRfYaEp0ShllpiYSEpKitO3GxkZSZ06dc78CTt3wtdfw+TJsHRp8cd8fKB1a2jZkn/Cw7npjTd46dpradGokUkIO8mmpCTaffABy+bMoW3LlrB/P+zdC8nJJr6dOyExsfj80CFISTHTihXHb9TP78TJwIYNoVEjCApyWvyexFWfOyjFZ09ExIn69IEHHjDXrOTmmnKfIiJSMkr6iYi9al0BS26DtL8hbS1ENLM7IhERERHv062b6cmVnAzLlsE559gdkcdLTEwkrmlTsrKznb7tkOBgEtavP3XyJS0NvvwSJk2CBQuOLvfxgbZtoXt36NEDzj8fKlcGYO/y5fz8xhs8Fxrq1ITfcfz8oHp1MzVvfuJ1LMvsQ2KimbZtM70Sj0xbt5pehJs3m+m/HA5TtjYu7vgpIsJ1+2YzV37u4Aw/eyIiLtKyJcTGwu7dMG+eSQKKiEjJKOknIvYKrAoxF8GuH2DHJIh4xu6IROQ/XHE1ua4iFxEpZ4GB0LcvTJkCP/6opJ8TpKSkkJWdzRdXXEFcVJTTtpuwbx9Dpk0jJSXlxH8r162DN96AL76ArKyjy7t2NePpDRxokm3uzuGAKlXM1KrV8Y8XFppSpZs3F08GHpnS001icOtWmDGj+HNjY03vxtatoU0bM2/QwCt6uLrqcwdn8NkTEXExhwMuvhg+/ND8tCvpJyJSckr6iYj96l17NOnX8mnXXnUsIiWSmJhIXFxTsrKcezV5SEgwCQm6ilxEpFz162eSftOnw1NP2R2N14iLiqJtTIzrX+jPP+G55+CHH44ua9YMbrgBrroKatVyfQzlycfHjPVXu7bpsXgsyzKlQxMSjp927TJdRHbvhpkzjz4nLMwkF9u2hXPPhc6dzXY8VLl97kREytkll5ik3/Tp8PrrOkUkIlJSSvqJiP1q9gO/SpC5FVL/gsiOdkckIv9KSUkhKyubL567grgGzrmaPGHrPoY8oqvIRUTK3cUXmzNnK1bAP/94X5LIW/39Nzz6qDn7CeY9vOIKuPNO07uvIp4NdTggOtpM3bsXf+zgQVizBlauNJ/1lSth9WrIyDBlUBcsgDffBKB5VBRfA1GrV5skY/XqFfN4ioi4kd69ISDAdOTesAGaNrU7IhERz6Kkn4jYzy/EjO23/QvY/qWSfiJuKK5BFG3jdDW5iIhHi4qCTp1g4UKTQLr1VrsjklPwS0mB66+HTz81PdJ8fWHoUHjwQZ0BPZXKlU0vvs6djy7LyzNnjlesgCVLYNEiWLmSgH37uBLM/UWLoFIlM05g/frQsCGEh9u1FyIiFVZoqLmeY/ZsU+JTf/JERErG8wvai4h3qHetmSdOhsJ8e2MRERER8Vb9+pn5sSUixb0UFnIv0OyKK2DCBJPwu/pqM5bfJ5/o7Gdp+PtD8+Ymafrmmybxl57OxvHjeQhIr1XLrHPokOkl+OOPpqbc++9DfDwkJXl0KVAREU9z6aVmfqSTu4iInDkl/UTEPdToDYGRkLMXkmbbHY2IiIiId7r8cjP/9VdIT7c1FDmB3btpOm0aLwO+WVnQoQMsXgyTJsFZZ9kdnXcJCSGzbVteALZcfLHpQTl8uCmZWru2KfOZnAzz5sEHH5gk4M8/KwEoIlIOLrnEzBcsgLQ0W0MREfE4SvqJiHvw8Yd6Q8ztrR/bG4uIiIiIt2raFOLiTLnDGTPsjkaOKCw0Pco+/JCQ1FRSgR2PP25KTnZU6fty4esLdetCjx5www1w771w2WXQpAn4+ZmxAhcvNgnAd96B+fN1JlpExEUaNDBNlvx8c72FiIicOY3pJyLuo+ENsOF12PUD5OyDoCi7IxJxicTERFJSUpy+3cjISOrUqeP07YqIiJcZMACefRamToVrr7U7GjlwAKZNg507AdjfsCFxW7Ywq39/6vroOl3bVKoEbdqYKS8PtmyB1avN2IApKfDbb2Zq2BDatzc9MfV+iYg4zWWXwfr18P33MGiQ3dGIiHgOJf1ExH1EtICq7WH/Utg+EZrebXdEIk6XmJhIXFxTsrKynb7tkJBgEhLWK/EnIiKndiTp99NPkJUFISF2R1RxrV5telzm5kJgIFx6KdurVWPfli12RybH8vc3XU6aNoWcHEhIMO/dtm0mGbhlC4SHQ7t2JkkYGmp3xCIiHu/yy+HFF82fycOHISDA7ohERDyDkn4i4l4a3mCSfls/hiZ3mbE0RLxISkoKWVnZfPHcFcQ1cF5v1oSt+xjyyDRSUlKU9JMiY8eOZerUqaxfv57g4GA6d+7MCy+8QJMmTYrWycnJ4d5772Xy5Mnk5ubSt29f3nnnHaKjo22MXERcqk0bU8Zwxw6YPfvoOH9Sfo6UV121ytyvXdskYyMizJhxQEJCgtNf1hXbLI/XyM3NJTAw0OnbLVWsQUFHewAeOABLl8KKFWaMzN9+M2MAtmpFgMZgFBEpk44dIToa9uwxFbD79LE7IhERz6Ckn4i4l7rXwPJRkLYa9i+Dau3tjkjEJeIaRNE2LsbuMGzlipOCKnFa3Lx58xgxYgTnnHMO+fn5PPLII/Tp04d169ZRqVIlAO655x5mzJjBN998Q3h4OCNHjmTAgAH88ccfNkcvIi7jcJgE02uvmRKfSvqVr4MH4auvYPdu81507Wqmf0tDJmVm4gCGDBnishAyMjOdvk1Xxu0ALKdv9ahSH48qVeCCC8w4gGvXwpIlsGsXLF9OsxUr+AII2rQJ2rZ1arxSfnQBlYh9fHygf38zlOp33ynpJyJyppT0ExH3EhABtQbAji9h8wdK+ol4oaQU150UVInT4mbNmlXs/oQJE6hevTrLli2ja9eupKen89FHH/Hll1/Ss2dPAD755BPi4uJYvHgx5557rh1hi0h5OJL0++EH1cwqT7t2weTJkJkJwcFw5ZVQv36xVdJycrCAt3v0oFPjxk59+ZmbNjF67lxycnKcul1wXdxHYnbr4+HnB61amWnHDliwAMfmzQwGuPpqmDTJlNRt1swZYUs50gVUIva64gqT9Pv+e3j7bQ2dKiJyJpT0ExH30/h/Jum3fSK0eQECqtgdkYg4UVrGvycFH+hBp7bOO3mnEqenl56eDkDVqlUBWLZsGXl5efTu3btonaZNm1KnTh0WLVqkpJ+IN+vUCWrUgORk+PVXuPhiuyPyfqtXm7OWBQUQFQXXXGN6ip1EoypVaBvj3KoACSkpTt3eiTg77iMxe8zxqFsX6tYlYfVqVk+dypUOB47vv4cff4Thw+HJJ6FWLee/rriELqASsVePHhAWZjrHL10KHTrYHZGIiPtT0k9E3E9UF4hoYUp8bp0ATe+xOyIRcYFGtatU+BKn5amwsJC7776b8847j+bNmwOQnJxMQEAAERERxdaNjo4mOTn5pNvKzc0lNze36P7BgwddErOIuJCvr+ll9tZbpueZkn6uY1kwdy7Mn2/un3WW6WnpgjHqxH1kR0YyCGj2zTc0mzQJpkyBjz+GL7+EO++Ehx46ZdJX3JOzLqBSW0rkzAQGmibKV1+ZEp9K+rlGYmIiqampZd5OtWrVdAHuSTjjGDvr+Or99n5unfRT7XSRCsrhgLNGwl//g43vQJO7wKEaDiIiZTFixAjWrFnDggULyrytsWPH8uSTTzohKhGx1dVXm6Tfd99BdrYpNynOVVgIM2bA8uXm/nnnQc+eqk9WgeTWrw/ffguLF8MDD5jk74svmgTgiy/CsGH6PHgIZ15ApbaUyJm7/HKT9JsyxVRKdjjsjsi7JCYmEhd3NllZh8q8rZCQSiQkrFMi6D+cdYydcXz1flcMbp30U+10kQqs3mBY8QBkboak2RB7od0RiYh4rJEjRzJ9+nR+//13ah1TUqxGjRocPnyYtLS0Yier9uzZQ40aNU66vYcffphRo0YV3T948CC1a9d2Sewi4kLnngt16kBiIvz0k+l9Js6Tnw/TpsG6deYM5SWXQLt2dkcldjn3XJg3D2bONMm/devghhvgww9h3Dho3druCOU0nHkBldpSImfukktMj7+NG02l7JYt7Y7Iu6SmppKVdYgBA74kMrJpqbeTkrKeqVOvJTU1VUmg/3DGMXbW8dX7XTG4ddJPtdNFKjC/StDgBtjwGmx8S0k/EZFSsCyLO+64g2nTphEfH0/9+vWLPd6uXTv8/f2ZM2cOAwcOBGDDhg0kJibSqVOnk243MDCQQJWlE/F8Pj4waBC89JIp8amkn/McPmy6JWzdao7zwIFw9tl2RyV2O5L87dMH3ngDnngCFi40yeARI+DppyE83O4o5QScfQGV2lIiZy4sDC66yBQm+PprJf1cJTKyKTExbewOw6u50zF2p1jE+dw66fdfqp0uUsGcdTtseB12z4T0dRDu+SdKEhMTSUlJcfp2IyMjdWVNRWMVQmHev9Nhgq1UOjaCSlmrYG8WUGjGEHI4wDcYfEPAL8TMA8LBN8juPZByMGLECL788ku+//57wsLCispMhYeHExwcTHh4ODfeeCOjRo2iatWqVK5cmTvuuINOnTrp4imRiuLqq03Sb/p0yMgwZ9akbLKzYeJE2LUL/P1NYrVhQ7ujEnfi7w/33We+f/fea85iv/WW6Rn64YfQt6/dEcq/XHUBlYiUzFVXmaTfN9+Y6yNU4tO7udP4d1KxeMtnz2OSfqqdLlIBhTWC2gNg5xRY9yJ0mmB3RGVi6mY3JSsr2+nbDgkJJiFhve1/VKQMLAsKcyHvIORlQP6/84IsKMiG/OyjtwuyoCCn2NPjgMVPAok3QOIZvJ5/BATH/DvFQmgDCG8GEc0hrDH4+LtgJ6W8vfvuuwB079692PJPPvmE4cOHA/Daa6/h4+PDwIEDi42PLCIVRJs20LgxbNoEP/wAgwfbHZFny8qCzz6DPXsgKMgcz2N6BYkUU6uW6RF6881w662wZQtceCHcdBO88gpUrmx3hBWeLqAScQ+XXnq0xOfff0OrVnZHJK7iTuPfScXiTZ89j0n6qXa6SAV19oMm6bd9IrR8Cip57h/rlJQUsrKy+eK5K4hrEOW07SZs3ceQR6aRkpKixow7y8+CQ9upnDmfERdAzcLFsNOC/IyjiT4rr3Tb9vEnr9CPXfuyqRFbi6CgYHD4AD5A4dGEYX6WmQPkpZnpYMIJt0dYE4g8lypZ9YiJKF1YYj/Lsk67TlBQEOPGjWPcuHHlEJGIuB2HA665Bp56Cr74Qkm/ssjOhs8/Nwm/SpXguuugenW7oxJP0Ls3rFoFjzwCb75pevv9/DN89BFccIHd0VVouoBKxD2EhcHFF5sO0V9/raSfN3On8e+kYvGmz55HJP1UO12kAqt2DkT3gj1zYP2r0O51uyMqs7gGUbSNi7E7DHE2y4LsJMjYCJnbIHMrHNp29HaOuSq4EfD2cMD6G9JPsB3fYPALA/8wMz9SktM3+N/bR0p1BoNPIDj8wOFgdUIS7e7+gGXLvqdt27aniLMQ8tJNrEXTbhN32hpIXwv5mZC+BtLXUB/YPQ5yCr6C3Y1MMrBSffDxiCaEiIiciaFDTdJv9mzYvRtiY+2OyPMcSfglJ5uE37BhEOW8i7ykAqhUyYzzN2AA3HCDGQ+yTx+480548UXTxUXKnS6gEnEfV15pkn7ffAPPPKMSn95OY86JXbzhs+fWZ+xUO11EAGj2kEn6bR4PzR6DoEi7IxI3VG7jJeZnQcYmOLjh32k9ZGyAgxtNr71T8a9Mlk8MP83fwPkdmxMdHfNvgq/y0USfq8tqOnwgoIqZTjROpmVB1k44sAr2ziNr2wyCstcT5JMO+5eZyScQKjeFiFZQqZ7+2xIR8XSNGsF558Eff5jefg88YHdEHsU3N9cct6QkCAkxPfyU8JPS6tbN1K576CF4+23T8+/332HyZGjSxO7oRERsc+mlpnL2pk2wYgWc6lpXEZGKzK2TfqqdLiKA6elXtZ1JNiS8CG1etDsicTOuGC8xyB/OrgntGvrz8ujhVC5MNAm+Q4nASa74dfiaJFhoQwitb8bJOzKvVB8CqrB+xQr+7//asWxyZ6Ij3bDHp8NhyuhWqgO1+rGea+nVpR1LP+pDw4j95hjkZ0LaKjP5R5jvZ5W2pieiiIh4pmHDTNLv00/h/vt1QccZCgMa/fQT7N0LwcEq6SnOUakSvPUWXHSR+W6uXAnt2sE770Dz5nZHJyJii7Aw6NfP9PSbOFFJPxGRk3HrpJ9qp4sIYE46tXgK5l0CG9+CJndBSE27oxI3UqbxEq1CAjlIMPsJtvYTZO0nmAMEchAHFpAHu8YXf05AFdPTrXITU+7yyO3QhuAb4LT9chdpWZDuqAexnSDmYtMTMG2VKQWal2Z64u6NNz3/Is+DwKo2RywiIiV21VWmjOC6dbBsGbRvb3dEbs+Rm8v3QKVjE37R0XaHJd7k4ovNWH9DhsDcuTBsGHUvvhhdZiUiFdWQISbpN2mSqXzs62t3RCLlKzfXwe7dcPCgqS6fnQ05OUdvZ2dDbq5Z99gK1UduJyZWA4awdWs4hw6Bv3/xKTgYAgJ0/Z+nc+ukn2qni0iR2Isg6nzYtwDWPAUd3rc7IreTkJDg9G0eV9rSzZ1yvETLMuU3c/ZCzh7I3Wtu5+4Dq+CET8knkPnrcml23iCqN+4Jlc82yb3AyIrbAjq2J2DMhSbxl/oX5CTBgeVwYAWEN4foHiY5KiIiniE8HK64wpxFmzBBSb/TKSig3ujRVAEK/P3xHToUTjGuvEipxcbCL7/A88/DmDFUmzmTxYBPejrEuGHVCBERF7rwQqha1VTUnjsXeve2OyLxdomJiaSmppZpG+vXry9237JMYu6/ybr/Tsc+fuhQM+AQnTqV9dKfOsDn/Prrydfw9TUV60NCTPGBsDCoXNn8u3BkKihwnHDfSqpatWoedd7RU7h10k9EpIjDAa3Gwq9dYMtH0PQ+qNzY7qjcQlJKJg5gyJAhTt92SEgwCQnrPe8PcEHO8cm9nL1QmHPi9R3+EBQFgdUh6N8pMJq/Nx2k57PjWbbsAao3Uu2Q4/j4Q5XWpodfViLs+wMyN0H6aji4Dqp2gOpdwDfY7khFRORMDBtmkn5ffgkvvWQu9ZXjWRbceSdV5swhF9jRpw9nKfkiruTrC48+Cl27knfFFbRITSV/2jQYOBDOOsvu6EREyk1AgClO8N57ZjhdJf3ElcxQMmeTlXXoJGv4AlWAqsdM/71/ZFrIpElNKCgwSbwz6Ov0HwH/TuDjY5JwwcHHT0FBEBho1oHi16s7HJCWlkZ8/J/UqHEeDkcoeXlw+DDk5ZkpPx8KCiAjw0wn43C0AjZz7bUbgHnAOmAlsAY486F3QkIqkZCwzvPOO7o5Jf1ExHNUPx9iL4HdM2DVw9DlW7sjcgtpGTlYwNsP9KBTW+clQhO27mPII9NISUlx3z+++VmQsZGq6TN4/mpoWPATrE+H/IMneYIDAqsdk9yLNrcDqpy4557jFC0cOcrhgEp1zZSdBMm/wKFtkLoI0lZAVFeoeg74qNkhIuLWeveGOnUgMRG+/RaGDrU7Ivf0zDPwzjtYDgdDLIuHa6rsvJSTLl1YP3EiBy+8kPMOHzZJ+u7doWvXiluFQkQqnCFDTNJvyhQz1GmIah5LGVmWKZeZmmqm/fvNfNUqB1lZ99GgwbU4HJHk5vqRk+NHbq4vOTl+5OWVrL7sf5Nofn4nTtqdaNmhQ+uZNu0i5s37jvPPb1WU1CupFSu20bbthVx22XJiYtoc93heHmRlmenQITMdPAjp6WZ+8CAcOACHDzuAhv9OFxc93+GwCA/PoVq1bKKisoiOPkRkZDa+vsdnOVNS1jN16rWkpqa673lHD6WzbyJyUs4uF+mUUpGtx0LSLNg5BZJmQ0wf5wTnBRrVrnLy0paezCqErH/g4AYzZWw4ejsrEYB6wIP9AHZC/r/P86t8tNfekeReYGSpEk/O/C64ogyrWwmOgXpDIXOzSf7l7oPk2bB/GdS8zJQFFRER9+TrC7fcAo89Zs6mKel3vA8+gMcfB2DnAw/w7Qsv8LDNIYl7c3bbLyElheuBXWefTdS6dRAfD7t3w4AB5tJ+EREv17kz1KsH27fD99/DNdfYHZG4Jz+SkvzJz4fk5OOnvXuLJ/ny80+0jdrAE2zdeupXCgw8dfIuNXUxy5c/T9euj9Ks2TlFj/v7n/neJCVlA9sJCyssdcLvTPj7Hy3heTKWBUuXTmPmzNdp0+YdgoKasXevOa6HDjlISwsmLS2YLVuqAuZfjNhYqF3bfHfr1jW9dsV1lPQTkeO4qlykU0pFRrSAs0bChjdg6R1w8d/gq39uPZZlQV4a5OyD7F1waMcx03Yzz9oJhXkn30ZAFTJ86/HZDyvo1+d86tRrbBJ9vkFlDs+VpVMzMjKdvk234XBAWGMIbQgHVsLe3+BwKmz7BKp1wM+hMY9ERNzWDTfAE0/AwoXw99/QsqXdEbmPadPgttvM7cceI+WKK+CFF+yNSdxWUqbr2pEA61q3plujRjBjBmzcCB9/bM58R0S45PVERNyFw2F6+z3zDHz6qZJ+FZVlQWamSdilpZneZ2lpZkpNbQbkcMklJeuJFxwM1aodnXx9D/DLL5Np0+YKoqJqEBxsepYeOw8K4rRJuNWrt7F8+fdERt5O9eql3GE34nBAUFAO8Dv16++iRYtmRY9lZpoxN5OTYdcu2LnT9BrcudNMCxea41WrFkRF1QA6nyThKmWhpJ+IHMcV5SKdWiqyxZOw4yvI2AjrX4FmjzglRq9nWSZ5ZhUAhaYHnVVY/D5WUWHxYCuFtvUgJHsdpOSbx4oeL/x3bh193pHb+VmQfwjyM4+Z/3s7N9X0/MrZa8bay005dULvCB9/k0Cq3ATCzvp33sTMAyPZtGIFIye0o9OFZ1OnkvN6O7riuzBz/iZGj5tLTs5Jxhf0Jg4fqNoWwuNMz9y0lZD6F5fEhNCz2WmfLSIidoiJgcsvN+U9338fxo2zOyL38Pvv5qxiYSHcdBM89RSsWGF3VOLG0nL+bUf26EGnxs4rwT9z0yZGz/23LdmmDVSvbsp87t0LH34IV19tzqSJiHix4cNN0m/2bNixw/QcEu9VUGCSSElJ5s/dkSn7pEPHmW5kfn6FxMT4UKMGRVN0tJlXrw6RkUcTfFWrHj+c9YoV2/nll9s555xziYnRxctnIjQUGjc2E5hTh/v3m4RfYqLpoXvggLmdmBgD/EGfPvlcdhlcdhn06QNhYXbugXdQ0k9ETspty0UGhEPbV2DhYFjzDNT+P6hcQQewtywCfXLo0hRiA3bAvnTIz4C8TDMvyIaCw1CYa6YSiAOWPQvsGAo7XBL9UX5hpizkkXHhiqZ6Zh4ca+t4cM78LiRsS3HKdjyKbzDU6g/hzWH3j4SSzpxHYEfOSiiM01h/IiLu5tZbTdLv889NT7bQULsjstfq1eYsRG4u9O8P776r8dPkjDWqUoW2Mc77nyoh5T9tyZo14eabTeJvzx6YMMEk7ps3d9prioi4m4YNoUcPmDvX/OyNGWN3ROJckWzdGsHff5veYrt3m8TffzkcpgxllSqmo3tEhLldULCB77/vzuLFM2nX7vhx66T8OBxHE6utW5tlBw7A1q2wbt0Btm61SEurymefwWefmbKfvXrBVVfBFVecusyonJzOsomIZ6p7DWydYMYMWzgE+vxheoN5s8ICyEmG7H8gO9n0kjucwv/VyuH/RgMsgz0l2aCP6Ynl8DnmtgMw0+H8QvakHqJq1Wr4+QcUPWZxdJ3iy3zAAYWOIAp9ginwCaHQEXz0tk8wBT5hBFWpS2RsU1OCMzAKgqKcUopTPEBYQ2h0Gxv++pomYVupG7QVtn4Eta+EwKp2RyciIkf06GEuz920yfz3ffvtdkdUJomJiaT8N1FyhgJ27+as668nID2dzNat2fTAA1h//w1UgHF6xXOEh8P118PUqabU55QpZpCirl2VoBYRr3XjjSbp9/HHZjhi35JVchQXWb9+fYmfk5cHq1dXYtGiyvz2Wx1gD7/+WrxmZnCwuc6levWjU1QU+J0gu5GUlAUku3TsO7uU5vg68/nOUKUKtGsHsbHb+eCDcxg/fh0JCWfx/fewZQv89JOZbr0VLr7YFDG49FJTUlXOjJJ+IuKZHA4492OY2RL2L4E1T0PLp+yOyrkK88yYdplbzHh32bv/LcVZnGXBtn1QuUp1IqNiwC8U/MPM3DfEjHno8+/kGwAOP44m7E7ul/mb6Hfnl1ikOnW3isZ2rFrGMq/imXwDWXqgNXe/u5Xv7wsgICcZtrwPNfuZnoAiImI/Hx+44w648054/XXzH7eHnjVJTEwkrmlTsk5e/+mkqgF/YApErQa6rlxJ2nnnHbdeRqYXj9MrniMwEAYNgl9/hUWLID4eDh6ESy7x2O+viMipDBhgenYlJsKcOaYsoNgnMzMJcHDttdee4TP8gN7ANcBlQESxRyMiMmnUKJRataB2bZMoqsjXsZT8+J5uexlO2U7ZFdCu3SFuuglefhnWrzcFRyZNgoQEM6T2tGmm5Oc115hk/znnVOzPwplQ0k9EPFdILTjnPfhjEKx9FmpcANW72B1V2eSmQsYmyNxsEn7Wf0az9Q2G4JpmCoqCwEi+mpvENQ99z6y3zqdvmxZOC8Xtx3YUjzZrFSxM70X3mmshKxF2ToHM7RBzocp9ioi4g+uvh8cfN739pk835S09UEpKClnZ2XxxxRXERUWd8fN88vJoPH06lfbtIzc0FPr3Z06lSsXWKTa2mog78PExZ72rVIGZM2H5cjh0CAYOBH8vr4oiIhVOcDAMHmyGH/7oIyX97JaTkw5Y9Ow5jkaNOp1wHcuCpKRQtmypwtatEeTmHv3fPzAwn9q1D+Lv/wcJCTfTs+dntGihN/WIMzm+Z2Lz5ln89tsjbtl+dTggLg5Gjza9d1evhsmTTQJw+3b44AMzNW8ON9wA111nyobK8XRWTUQ8W92rYNd02P45zB8IFy4xY8A5QVlKQZ3ISUtAHT4A6WsgfS3k/Kc+p19lUxIxpK5JcgZUPe5ylgJrr9NiPBG3HdtRTsjZpcZcWbos1wqG+sNgbzzsmw8HlpnvQJ1B4F/Bx48SEbFbaCj8739mTL9XX/XYpN8RcVFRZz6uWkGBObuwbx8EBxM4bBgtIiOPW+24sdVE3MU555jv8JQpsGGDKdN7zTWqiyUiXuemm0zSb9o0M6xpdLTdEUlERCNiYoqPo5eTA6tWwdKlcGzzqVIlOPtsk8SpVcsPH5+qrF6dSUJCicauqVBOdHxLIiXF/vKeZ8LhgJYtzfTMM/D77ya5/+23sGYNjBoFjzxiEv933AGtWtkdsXtR0k9EPF+HdyF9NRxYCfMugwv+KHPCIDExkbi4pmRllbwU1OlkZGRCfhak/W3izt59zKM+JmkZ1ghCG5kx79RnXc5AUkomDmDIkCEu2X5GhotKlzl8ILonhNSBf6aYMSu3jIe6V0Owks0iIrYaORJeeQXmzYNly8zgG97OsuCHH8yAIv7+cO21cIKEn4jbi4szl8BPmgT//GMGvRoyxNTCExHxEq1bw7nnwuLFMH686R0k7mPvXvjrL/j7bzNuH0BAgEn0tWgB9eqpArWc2TiD4eEm0Xfzzb7MmlWFadOqsX59CB99ZJKBbdqkc+21qXTrln7CcR6dFYenUNJPRDyfXyXo+gP8fI5JpP0xCLpMM+PXlVJKSgpZWdl88dwVxDU481JQpzJz/kbi4+M5y3cebEg+Znw+B1SqD+HNoHIc+AU75fWkYnFFOVaAmfM3MXpcOZQuC2sEDW6CHZPgcCps/RhqXW6+FyIiYo9ateDqq+GLL+Cll0x9HW/3yy/mzJTDAVdeaY6BiKeqU8fUv/riC0hNNWfFBg+GGjXsjkxExGlGjjRJv/fegwcfVDVjd5CUZHpmHZtDiYw0HdFbtTLD0IqUfZzCzsCdwEBWrAhnxYpwYDPwIvApcLiUcbnLeIelp6SfiHiHSrWh6/cwpzvsnmlKfXb5FnzL1pKIaxBV9tKWeQfhwErO6vAXj3UG2AUWEBQDVVpD+NngV7FKGXpSCUpP4+xyrAnbyrF0WWA1aHjTv+P7bYad30LOPqjeTT1eRUTsct99JmHw9dcwZozpPeStFi6ERYvM7f79obHzLqIRsU1UFNx4I0ycaLpcfPKJSebXr293ZCIiTnHllXDvvbBrF3z3nbkvdmnPwoWtSU4+uqRpU+jQwfTq07/1cixnjVO4Zs17LFyYjr//KPLyGgEfEBIyjpYt99K0aQoBAYVntB13Hu+wpJT0ExHvEdnR9Pj7/TLYPR3mD4DzvwE/G8ausAohYyMcWA4ZmwGLUD9IOwQHfRtQp1nvClm60GNLUEr58Q2CutdA8i+Quhj2zYO8NIjtBz6+dkcnIlLxtGoFl19uzqI984xJHHijVatMLz+ACy7QwCDiXSpXhuuvN711d+ww3+OBA707iS8iFUZAANxyCzz9NLz9tpJ+dkhJgYULuwDXkJxsknvNm0OXLubaE5FTcc44hXdw0UXnkpvbi0WL4OBBfxYvrsnKlTXp3Bk6djS/FaffjndQ0k9EvEvMBdBtOszrZ3r8ze4EXadBaIPyef3DB2D/ckhbCfnHJKBC6vJHYhS971vKd6+2pk4FTPiBF5SglPLh8IGYvmZMy93TIW0V5GVAnavK3HtXRERK4fHHTdJv0iQYPdpcsu1NNm0y4/iBGRioc2d74xFxhaAgM6bftGmwbh188w306wdtSn+STUTEXfzvfzB2rCkpuWqVrt0pL1lZZujnpUuhsLAWUECdOnvo1y9WQyJLufPzK6BNG1NG9u+/4Y8/THXz334zJYDPPx/at68YJYCV9BMR71OjF/SYDQsGmjH+fmoHHcdD7YGuqSVQmA8Z602y79C2o8t9Q0z5ziptIbAa29evJidvqfNf3wN5dAlKKT9V24J/GCR+A4e2wrYJUPdas0xERMpPmzZw2WUmMfbMM6bcp7f45x+T/CgshBYtoE8fuyMScR0/P9PDLzAQVqww3+mcHOhU+pJaIiLuoGZN8/P21Vfwyivw2Wd2R+TdCgpgyRKT8Dty7XWNGv+QnNyb9u3fJDIy1t4ApULz9TX/vrRqBWvXQnw87N8Ps2ebSv5dukDbtmY9b+VjdwAiIi5R/Xy4cBlUO9eUBlxwJcRfBAc3Omf7VgFkbIFdP8KGV80YZEcSfqENofaV0GQU1LjAjFMmIqUT1hgaDAffSpCTDFs/glwleUVEyt2YMWY+aRKsWWNvLM6ybx98+SXk5UHDhmYcPw02I97Ox8f08DuS6Js921wCb1n2xiUiUkb33WfmkyZBYqK9sXiznTvh/ffh559Nwi86GoYOhc6d5wMb7A5PpIiPj7mm7/bbTdMnPBwyMmDmTHj3XdiwwXubP+rpJyLeK6QW9I6HNc9AwouQ9DPMiIOa/aHJXVC9iykjeKYKcuDQDji43vTsKzimlKRfGFRpY6aACGfviUjFFhwLDW6AHRPh8H7Y+jHUHQwhNe2OTESk4mjb1lxCP2WKOas2a5bdEZXNgQPw+eeQnQ2xsXDVVd59ua/IsRwOM3ZlcLBJ+M2fb87ctm5td2QiIqXWvj307Gl+1l57zUziPDk5MGeOKeUJEBJijnebNia5snq1vfGdyPr1ZRujrazPF/fg62v+lWnZEpYvNz1UU1PNUMf16plCHzFeNgqTkn4i4t18A6HV01D/Olh+D+yeAf9MM1NgFMT0gWodIawRhNQGnwBw+BKSvY6LWkFU4RrYtQSyk0wvo2LbrgSVm0J4HFSqX7IEooiUTGDVfxN/kyB7F2z/DOpcDaH17Y5MRKTieOEFUw7w559N0u/CC+2OqHQyMkzCLyMDoqJg8GAICLA7KpHy5XCY+lbBwTBjBixZQr0DB3SSSEQ82oMPmqTf+PFmGOKqVe2OyPNZFiQkwE8/QWamWda6tUmUBAfbGtpJZWYmAQ6uvfZaJ20vwynbEXv5+UGHDib5t2CBGedv+3b44APzmY6NDbI7RKdRe05EKobKjaH7dEhbCxvfgu1fQu4+2D7RTP/RFJj5AGAthAPHPBBQ1ZTvDD8bQuoo0SdSnvwqQb3rIHGyKae7YyLU/j+TfBcREddr2BDuuANefdX09uvd2/z37EmyskzC78ABqFLF1KMKCbE7KhH7tG9vxvj77juqbt7MVMCRk3Pap4mIuKMLLjAn71euhHHjTOJPSi8ry1wXsm6duV+tGlx6qekd5c5yctIBi549x9GoUenHrd28eRa//fYIOfq76FWCgsy/Me3bm4sEVq82vxlr114C3O4VJT897D80EZEyimgGHd6D9m9ByiJImg3payFzi+nNV5gHVj6HCWX1pj00rF+XiKg6EBRtknz+YXbvgUjF5hsAda+Ff6aYUruJX5uSvVVa2R2ZiEjF8NhjMGECrF1rLou9/Xa7IzpzubnwxRdmLL+wMJPwC1PbToQWLSAwkMKvv6ZfQQHbZ8+Gzp3tjkpEpMQcDtPb75prTHnPO+8043hJyW3caAo8HDpkyneedx507epZ13tFRDQiJqZNqZ+fkqLynt4sIgIGDDC9/2bOhKSkAGAcc+cepGpVqFXL7ghLT11URKRi8vGH6l2h1TPQdRpc/DcM3AdXpsFVmaxpNJP2j8FW374Q3RPCmynhJ+IufPyg9pUQ0RqwYNd3kLLY5qBERCqIKlXgqafM7Ycegl277I3nDPnk5cGkSZCUZGpRDR1q9kVEjLPOYtPFF/MMsL9fP7ujEREptSuvhLg406n/9dftjsbz5OaaZN+kSSbhFxUFN91kxu/zpISfyJmqVct8xlu1WgKkkZZWmY8+gh9/NL1dPZGSfiIiIuJ5HD5Q8zIzJidA8s/EFC61NyYRkYri1luhY0czJt7tt+PuNXDCgEYzZ8KOHWbsviFDzBksESnmUEwMo8F0lRER8VC+vvDEE+b2q6/C/v22huNRdu6E996DFSvM/U6d4JZbICbG3rhEXM3HBxo23Aw0oU6d3QAsXw5vv23mbv7vznGU9BMRERHP5HBAjb5QvQcAMdZy3rgOsArtjUtExNv5+sKHH5rLvX/4AaZMsTuik/LNyGA2ELpnjxm3bOhQiI21OywRERFxof/7P2jZEg4ehJdftjsaT+BgxYpoPvkE0tJM2cNhw6BPH/Xuk4pmL+3br2H4cKheHbKzTY+/zz7zrAsIlPQTERERz+VwmFK9MRcBcGdfqJb+g81BiYhUAM2bw8MPm9u33w67d9sbz4mkptL41ls5F8gPDITrrvPswTlERETkjPj4HK1G/uabkJxsbzzubN8+P2A2S5bEYlmmiXfrrVCvnt2Ridinbl3Ty/WCC8DfH7Zvh3ffhUWLoNADrjNX0k9EREQ8X7UObHP04OvFkBp+qd3RiIhUDI8+Cq1awb59MHgwFBTYHdFRe/dCz56ErF/PPmDTpZeqh5+IiEgFctll0KGDGZdu9Gi7o3FPs2bB1Vc3BXrj51fAZZfBgAGmOIJIRefrC507w223Qf36kJ8Ps2fDxx+bfzXcmZJ+IiIi4hUO+DRm0FuAQ/VHRETKRWAgfP01VKoE8fHw9NN2R2Rs3w7dusHff5NXrRrdgOxq1eyOSkRERMqRwwGvvWZuf/TR0XHqBA4fhvvug4suggMH/IFVDBiwgTZtNKyryH9VqWJGCOjXz/z7s2sXvP+++ffHna55PJaSfiIiIiIiIlI6Z51l/usFU0frxx/tjWfZMjj3XFi/HmrVYuP48STYG5GIiIjYpHNnuPpqsCy45x4zr+i2bIHzzoNXXjH3Bw3aB3QkIiLX1rhE3JnDAW3bmlENmjQxJT7nzYMPPnDPUQ6U9BMREREREZHSGzzYDHphWebM2l9/2RPHtGmmh9+ePdCyJSxeTG7duvbEIiIiIm7hhRcgKMicoJ8yxe5o7PX119CmDSxdClWrwnffwYMP/gMo4SdyJipXhkGDYOBACAkxZT4//BB++829ev0p6SciIiIiIiJl8/bb0LcvZGXBpZfC5s3l99qFhWawngEDzMA9vXvD/PlQs2b5xSAiIiJuqU4deOABc/vOOyEtzdZwbJGdDbfeapIVGRlw/vmwciX07293ZCKex+GA5s1hxAgztyzzr8f48ZCSEmx3eICSfiIiIiIiIlJW/v7wzTem7s2+fabH3dq1rn/dpCQzIM0zz5j799wDP/1kLsMVERERAR5+2FQkT0qCBx+0O5rytX49dOxoqrE7HPDoozB3LtSubXdkIp4tJMT0+LvySnN7zx6YNq0J8Dh5efbGpqSfiIiIiIiIlF1YGMyYAc2amcEtunaFP/903ev9+KMp4zl7NgQHw2efwauvgp+f615TREREPE5QkOmFA2YMrnnz7I2nvHz6KbRrB6tXQ/Xq8PPP5jopNZVEnOfss81Yf3FxYFkO4Elmzqxqa0xK+omIiIiIiIhz1KgBv/9uLinfvx+6dzeXlluW815j925Tn+qyyyAlBVq1MoPTDB3qvNcQERERr9K1K/zvf+b2jTeaMpfeKjMThg2D4cNN5fVevWDVKrjgArsjE/FOlSqZHn89e24DvufSS/fbGo+SfiIiIiIiIuI8VavCr7/CxRdDTo4ZRObKKyE5uWzbzcgwl6c3bQpffw2+vnDffbB4sbnEVkREROQUXnjBlLXcssWMx+WN/v4b2rc3BRB8fEzT6eefzXVZIuI6Dgc0apQGXI6vr72xKOknIiIiIiIizhUaaspvvvyyGe9vyhRo1AjGjIH09JJt659/4MknoX59GD3aJP86dDC9+156ydTsEhERETmN8HD48kuTDPv8czN5C8uC994zTaQNG6BmTTN236OPYnsCQkTKl5J+IiIiIiIi4nw+PnDvvbBwoTkDdegQPPWUudT86qth6lTYufP40p+HD5vL1F9/Hfr2hbp14YknIDUVzjrLnK1btAhat7Zhp0RERMSTnX++uZYI4LbbICHB3nicYc8eU/X8ttsgN9cUW1i50pQ0FZGKR8N2ioiIiIiIiOu0b29KcE6danr6rV0LX31lJoAqVUxJ0MBAOHgQdu06PhHYvTvccospE+qnf2NFRESk9B5+GH77zfSE69cP/vwTqlWzO6rS+eEHuOkm2LcPAgJg7Fi4+25z7ZWIVEz6b0lERERERERcy+GAgQNhwABYvhy++MKM+5eQAAcOmOlYlSpBly7Qqxf07w+NG9sTt4iIiHgdX19z7VHHjmZ8vwED4JdfTNLMU2Rmwj33wIcfmvstWsDEiWYuIhWbkn4iIiIiIiJSPhwOaNfOTAA5ObBxoyn9mZNjkn1160L16mZdEREREReIijLDD3fuDL//DjfeCBMmeMb4d7Nnw//+B9u3m+bSvffCM8+YogkiIkr6iYiIiIiIiD2CgqBlS7ujEBERkQqoWTPT4+/SS00RgoAAGD/efUtjpqSY3n1ffGHu16kDn35qqqCLiBzhpj9hIiIiIiIiIiIiIiKuc+GF8OWXJtH38cdw661QUGB3VMVZlkn0NW1q5j4+Zty+tWuV8BOR4ynpJyIiIiIiIiIiIiIV0lVXweefm2Ta+PFmGOJDh+yOyliyxCT2hg6F1FQzZt+iRfDaaxAaand0IuKOlPQTERERERERERERkQrr2mth8mQzLt7330O3bvDPP/bFs327ialDBzPmYFAQPPccLFtmlomInIySfiIiIiIiIiIiIiJSoV15Jfz2G0RGmuRay5bw7bflG8O+ffDAA9CkCUyaBA4HDBsGGzfCww+Dv3/5xiMinkdJPxERERERERERERGp8Dp3hj//hPbt4cABkwgcPNj1vf527DDj9NWtCy+9BIcPQ69eJvk4YQLUru3a1xcR7+FndwAiIiIiIiIiIiIiIu6gQQNYuBCeeALGjoUvv4Rp0+C+++Cuu6BaNee8Tn4+/PorvPsuTJ8OhYVmefv28OSTcNFFpqffqSQmJpKamlrqGNavX1/q54qIe1LST0RERERERERERETkX/7+8OyzcMUVcM89sGABPP206YU3ZIgpudmpE/j6lmy72dkwfz788AN88w3s3Xv0sV694MEHoXfv0yf7wCT84uLOJivrUMmCOIHMzIwyb0NE3IOSfiIiIiIiIiIiIiIi/9G+Pfz+O0ydCs89B8uXw4cfmikyEi64ANq2hVatIDYWoqJMwjAvDzIzTVnQHTtg5UpTqvPPPyEn5+j2IyPh2mvhttugadOSxZaamkpW1iEGDPiSyMgSPvlfmzfP4rffHiHn2KBExKMp6SciIiIiIiIiIiIicgIOBwwcCAMGwB9/wPvvm3KcKSkwaZKZSqJmTejTx4wX2Lu3SRKWRWRkU2Ji2pTquSkpKu8p4m2U9BMREREREREREREROQWHA84/30x5eabk58KFphff2rWwZw/s3390/aAgk+CrXRuaNYN27aBjR4iLO7PynSIipaGkn4iIiIiIiIiIiIjIGfL3hx49zHSs/HywLPDzU2JPROyhpJ+IiIiIiIiIiIiISBn56Wy7iNjMx+4ARERERERERERERERERKRsdO2BiHi8xMREUlJSnLrNhIQEp25PRERERERERERERMSVlPQTEY+WmJhIXFxTsrKyXbL9jIxMl2xXRERERERERERERMSZlPQTEY+WkpJCVlY2Xzx3BXENopy23ZnzNzF63FxycnKctk0REREREREREREREVfxmqTfuHHjeOmll0hOTqZVq1a89dZbdOjQwe6wRKScxDWIom1cjNO2l7DNueVCRUTcndpSIiIiIqWntpSIiIi4Ax+7A3CGr776ilGjRjFmzBiWL19Oq1at6Nu3L3v37rU7NBERERG3p7aUiIiISOmpLSUiIiLuwiuSfq+++io333wz119/PWeffTbvvfceISEhfPzxx3aHJiIiIuL21JYSERERKT21pURERMRdeHzS7/DhwyxbtozevXsXLfPx8aF3794sWrTIxshERERE3J/aUiIiIiKlp7aUiIiIuBOPH9MvJSWFgoICoqOjiy2Pjo5m/fr1J3xObm4uubm5RffT09MBOHjwoNPjy8zMBGDZut1kZh122nYTtu4DYPXmfQRX2uHW2/WkWF21XU+K1VXb3bDdjJG3bNmyou+FU7a7YYPZrgd8xzzp/XLVdj0pVldt15NiddV2XRXrkd+ZzMxMl/xNP7JNy7Kcvm07eUxbavduMg8773ceIGHfv5/FffsI3uG8z6KnbtsTY3bltj0xZoANKa5pc4E5iV1YWOjUbbp620VtRQ/6DfHUz56OR/lsuzx+P9SWKhlPaUslJS3n8OHS/11ISVn/73w1O3YE27odd4rFWdtxp1ictZ3U1I0ALF++vMxtEofD4ZTfDmdsx51i2bjRHOOyfL/d6TPjrO24UyzO2o47xeKs7bhTLM7azpHfPdvbUpaH27VrlwVYCxcuLLb8/vvvtzp06HDC54wZM8YCNGnSpEmTJk2aSjzt3LmzPJo45UZtKU2aNGnSpElTeU5qS6ktpUmTJk2aNGkq/XS6tpTH9/SLjIzE19eXPXv2FFu+Z88eatSoccLnPPzww4waNarofmFhIfv376datWo4HA6nxnfw4EFq167Nzp07qVy5slO37Y60v96rIu0rVKz9rUj7Ctpfb+bqfbUsi4yMDGJjY52+bTupLSWnouNvLx1/e+n420fH3l6uOv5qSx1Vnm0pT6Pvv2fR++VZ9H55Hr1nnsVdzkt5fNIvICCAdu3aMWfOHC6//HLANJbmzJnDyJEjT/icwMBAAgMDiy2LiIhwaZyVK1euUF9M7a/3qkj7ChVrfyvSvoL215u5cl/Dw8Ndsl07qS0lZ0LH3146/vbS8bePjr29XHH81ZYy7GhLeRp9/z2L3i/PovfL8+g98yx2n5fy+KQfwKhRoxg2bBjt27enQ4cOvP766xw6dIjrr7/e7tBERERE3J7aUiIiIiKlp7aUiIiIuAuvSPoNGjSIffv28fjjj5OcnEzr1q2ZNWvWcYMoi4iIiMjx1JYSERERKT21pURERMRdeEXSD2DkyJEnLZtgp8DAQMaMGXNc2QZvpf31XhVpX6Fi7W9F2lfQ/nqzirSvrqC2lJyIjr+9dPztpeNvHx17e+n4l467tqU8jT5/nkXvl2fR++V59J55Fnd5vxyWZVm2RiAiIiIiIiIiIiIiIiIiZeJjdwAiIiIiIiIiIiIiIiIiUjZK+omIiIiIiIiIiIiIiIh4OCX9RERERERERERERERERDyckn5OMG7cOOrVq0dQUBAdO3bkr7/+Oum648ePp0uXLlSpUoUqVarQu3fvU67vjkqyv1OnTqV9+/ZERERQqVIlWrduzeeff16O0ZZdSfb3WJMnT8bhcHD55Ze7NkAnKsm+TpgwAYfDUWwKCgoqx2jLrqTvbVpaGiNGjCAmJobAwEDOOussZs6cWU7Rlk1J9rV79+7HvbcOh4NLLrmkHCMum5K+t6+//jpNmjQhODiY2rVrc88995CTk1NO0ZZNSfY1Ly+Pp556ioYNGxIUFESrVq2YNWtWOUZbNr///jv9+vUjNjYWh8PBd999d9rnxMfH07ZtWwIDA2nUqBETJkxweZxSert27WLIkCFUq1aN4OBgWrRowdKlS4setyyLxx9/nJiYGIKDg+nduzebNm2yMWLvcbpjP3z48OP+Llx44YU2Ruw96tWrd8K/uyNGjAAgJyeHESNGUK1aNUJDQxk4cCB79uyxOWrvcbrjf6J20a233mpz1N6joKCA0aNHU79+fYKDg2nYsCFPP/00lmUVraPfftc4k2Ov335xtnfffZeWLVtSuXJlKleuTKdOnfjpp59O+ZxvvvmGpk2bEhQURIsWLTzmf3BvUNL3yxvOE3mT559/HofDwd13333K9fQdcx9n8p7pe2afJ5544rhj37Rp01M+x7bvlyVlMnnyZCsgIMD6+OOPrbVr11o333yzFRERYe3Zs+eE61977bXWuHHjrBUrVlgJCQnW8OHDrfDwcOuff/4p58hLp6T7O3fuXGvq1KnWunXrrM2bN1uvv/665evra82aNaucIy+dku7vEdu2bbNq1qxpdenSxerfv3/5BFtGJd3XTz75xKpcubKVlJRUNCUnJ5dz1KVX0v3Nzc212rdvb1188cXWggULrG3btlnx8fHWypUryznykivpvqamphZ7X9esWWP5+vpan3zySfkGXkol3d+JEydagYGB1sSJE61t27ZZP//8sxUTE2Pdc8895Rx5yZV0Xx944AErNjbWmjFjhrVlyxbrnXfesYKCgqzly5eXc+SlM3PmTOvRRx+1pk6dagHWtGnTTrn+1q1brZCQEGvUqFHWunXrrLfeesuj/gZVNPv377fq1q1rDR8+3Przzz+trVu3Wj///LO1efPmonWef/55Kzw83Pruu++sVatWWZdddplVv359Kzs728bIPd+ZHPthw4ZZF154YbG/D/v377cxau+xd+/eYsf1l19+sQBr7ty5lmVZ1q233mrVrl3bmjNnjrV06VLr3HPPtTp37mxv0F7kdMe/W7du1s0331xsnfT0dHuD9iLPPvusVa1aNWv69OnWtm3brG+++cYKDQ213njjjaJ19NvvGmdy7PXbL872ww8/WDNmzLA2btxobdiwwXrkkUcsf39/a82aNSdc/48//rB8fX2tF1980Vq3bp312GOPWf7+/tbq1avLOfKKqaTvl6efJ/Imf/31l1WvXj2rZcuW1l133XXS9fQdcx9n+p7pe2afMWPGWM2aNSt27Pft23fS9e38finpV0YdOnSwRowYUXS/oKDAio2NtcaOHXtGz8/Pz7fCwsKsTz/91FUhOlVZ99eyLKtNmzbWY4895orwnK40+5ufn2917tzZ+vDDD61hw4Z5TNKvpPv6ySefWOHh4eUUnfOVdH/fffddq0GDBtbhw4fLK0SnKev39rXXXrPCwsKszMxMV4XoVCXd3xEjRlg9e/YstmzUqFHWeeed59I4naGk+xoTE2O9/fbbxZYNGDDAGjx4sEvjdIUzSfo98MADVrNmzYotGzRokNW3b18XRial9eCDD1rnn3/+SR8vLCy0atSoYb300ktFy9LS0qzAwEBr0qRJ5RGi1zrdsbcsy6PaNJ7urrvusho2bGgVFhZaaWlplr+/v/XNN98UPZ6QkGAB1qJFi2yM0nsde/wtyyT9TnXiRcrmkksusW644YZiy45tm+i333VOd+wtS7/9Uj6qVKliffjhhyd87KqrrrIuueSSYss6duxo/e9//yuP0OQETvV+efp5Im+RkZFhNW7c2Prll19O247Rd8w9lOQ90/fMPmPGjLFatWp1xuvb+f1Sec8yOHz4MMuWLaN3795Fy3x8fOjduzeLFi06o21kZWWRl5dH1apVXRWm05R1fy3LYs6cOWzYsIGuXbu6MlSnKO3+PvXUU1SvXp0bb7yxPMJ0itLua2ZmJnXr1qV27dr079+ftWvXlke4ZVaa/f3hhx/o1KkTI0aMIDo6mubNm/Pcc89RUFBQXmGXijN+pz766COuvvpqKlWq5KownaY0+9u5c2eWLVtWVBZz69atzJw5k4svvrhcYi6t0uxrbm7ucWUfgoODWbBggUtjtcuiRYuKHR+Avn37nvFnX8rXDz/8QPv27bnyyiupXr06bdq0Yfz48UWPb9u2jeTk5GLvaXh4OB07dtR7WkanO/ZHxMfHU716dZo0acJtt91GamqqDdF6t8OHD/PFF19www034HA4WLZsGXl5ecU+902bNqVOnTr63LvAf4//ERMnTiQyMpLmzZvz8MMPk5WVZWOU3qVz587MmTOHjRs3ArBq1SoWLFjARRddBOi335VOd+yP0G+/uEpBQQGTJ0/m0KFDdOrU6YTrqD3vPs7k/QLPPU/kTUaMGMEll1xy3HfnRPQdcw8lec9A3zM7bdq0idjYWBo0aMDgwYNJTEw86bp2fr/8XP4KXiwlJYWCggKio6OLLY+Ojmb9+vVntI0HH3yQ2NjYM/5S26m0+5uenk7NmjXJzc3F19eXd955hwsuuMDV4ZZZafZ3wYIFfPTRR6xcubIcInSe0uxrkyZN+Pjjj2nZsiXp6em8/PLLdO7cmbVr11KrVq3yCLvUSrO/W7du5bfffmPw4MHMnDmTzZs3c/vtt5OXl8eYMWPKI+xSKevv1F9//cWaNWv46KOPXBWiU5Vmf6+99lpSUlI4//zzsSyL/Px8br31Vh555JHyCLnUSrOvffv25dVXX6Vr1640bNiQOXPmMHXqVLdPXpdWcnLyCY/PwYMHyc7OJjg42KbI5ES2bt3Ku+++y6hRo3jkkUdYsmQJd955JwEBAQwbNozk5GSAE76nRx6T0jndsQe48MILGTBgAPXr12fLli088sgjXHTRRSxatAhfX1+b98B7fPfdd6SlpTF8+HDA/I4FBAQQERFRbD197l3jv8cfTDuhbt26xMbG8vfff/Pggw+yYcMGpk6dal+gXuShhx7i4MGDNG3aFF9fXwoKCnj22WcZPHgwgH77Xeh0xx702y+usXr1ajp16kROTg6hoaFMmzaNs88++4Trnqw9r+9/+SnJ++XJ54m8xeTJk1m+fDlLliw5o/X1HbNfSd8zfc/s07FjRyZMmECTJk1ISkriySefpEuXLqxZs4awsLDj1rfz+6Wkn42ef/55Jk+eTHx8vFcPuBkWFsbKlSvJzMxkzpw5jBo1igYNGtC9e3e7Q3OqjIwMhg4dyvjx44mMjLQ7HJfr1KlTsau7OnfuTFxcHO+//z5PP/20jZG5RmFhIdWrV+eDDz7A19eXdu3asWvXLl566SW3TvqV1UcffUSLFi3o0KGD3aG4THx8PM899xzvvPMOHTt2ZPPmzdx11108/fTTjB492u7wnOqNN97g5ptvpmnTpjgcDho2bMj111/Pxx9/bHdoIhQWFtK+fXuee+45ANq0acOaNWt47733ihJP4hpncuyvvvrqovVbtGhBy5YtadiwIfHx8fTq1cuWuL3RRx99xEUXXURsbKzdoVRIJzr+t9xyS9HtFi1aEBMTQ69evdiyZQsNGza0I0yv8vXXXzNx4kS+/PJLmjVrxsqVK7n77ruJjY3Vb7+Lncmx12+/uEKTJk1YuXIl6enpfPvttwwbNox58+adNJEk9irJ+1XRzhO5m507d3LXXXfxyy+/ePV5Zm9SmvdM3zP7HFsNoWXLlnTs2JG6devy9ddfu13FPyX9yiAyMhJfX1/27NlTbPmePXuoUaPGKZ/78ssv8/zzz/Prr7/SsmVLV4bpNKXdXx8fHxo1agRA69atSUhIYOzYsW6f9Cvp/m7ZsoXt27fTr1+/omWFhYUA+Pn5sWHDBrc9MVCWz/IR/v7+tGnThs2bN7siRKcqzf7GxMTg7+9f7IrWuLg4kpOTOXz4MAEBAS6NubTK8t4eOnSIyZMn89RTT7kyRKcqzf6OHj2aoUOHctNNNwHmhMahQ4e45ZZbePTRR/Hxcc9K2KXZ16ioKL777jtycnJITU0lNjaWhx56iAYNGpRHyOWuRo0aJzw+lStXVi8/NxQTE3PcyYO4uDimTJkCUPS53rNnDzExMUXr7Nmzh9atW5dbnN7odMf+RBo0aEBkZCSbN2/WiV8n2bFjB7/++muxHmQ1atTg8OHDpKWlFevtV5I2mpyZEx3/E+nYsSMAmzdvdtu2vSe5//77eeihh4qSSy1atGDHjh2MHTuWYcOG6bffhU537E9Ev/3iDAEBAUXniNq1a8eSJUt44403eP/9949b92Ttef0NLD8leb/+y5POE3mDZcuWsXfvXtq2bVu0rKCggN9//5233367qALbsfQds1dp3rP/0vfMPhEREZx11lknPfZ2fr/c80ymhwgICKBdu3bMmTOnaFlhYSFz5sw5ZX3rF198kaeffppZs2bRvn378gjVKUq7v/9VWFhIbm6uK0J0qpLub9OmTVm9ejUrV64smi677DJ69OjBypUrqV27dnmGXyLOeG8LCgpYvXp1sX/G3VVp9ve8885j8+bNRYlcgI0bNxITE+O2CT8o23v7zTffkJuby5AhQ1wdptOUZn+zsrKOS+wdaVRZluW6YMuoLO9tUFAQNWvWJD8/nylTptC/f39Xh2uLTp06FTs+AL/88kuJ/mZJ+TnvvPPYsGFDsWUbN26kbt26ANSvX58aNWoUe08PHjzIn3/+qfe0jE537E/kn3/+ITU11SP+7nuKTz75hOrVq3PJJZcULWvXrh3+/v7FPvcbNmwgMTFRn3snO9HxP5EjZfz12XeOk7XDjrS59dvvOqc79iei335xhVOdI1J73v2U5JyeJ50n8ga9evU67rxk+/btGTx4MCtXrjxh8kjfMXuV5j37L33P7JOZmcmWLVtOeuxt/X5ZUiaTJ0+2AgMDrQkTJljr1q2zbrnlFisiIsJKTk62LMuyhg4daj300ENF6z///PNWQECA9e2331pJSUlFU0ZGhl27UCIl3d/nnnvOmj17trVlyxZr3bp11ssvv2z5+flZ48ePt2sXSqSk+/tfw4YNs/r3719O0ZZNSff1ySeftH7++Wdry5Yt1rJly6yrr77aCgoKstauXWvXLpRISfc3MTHRCgsLs0aOHGlt2LDBmj59ulW9enXrmWeesWsXzlhpP8fnn3++NWjQoPIOt8xKur9jxoyxwsLCrEmTJllbt261Zs+ebTVs2NC66qqr7NqFM1bSfV28eLE1ZcoUa8uWLdbvv/9u9ezZ06pfv7514MABm/agZDIyMqwVK1ZYK1assADr1VdftVasWGHt2LHDsizLeuihh6yhQ4cWrb9161YrJCTEuv/++62EhARr3Lhxlq+vrzVr1iy7dkFO4a+//rL8/PysZ5991tq0aZM1ceJEKyQkxPriiy+K1nn++eetiIgI6/vvv7f+/vtvq3///lb9+vWt7OxsGyP3fKc79hkZGdZ9991nLVq0yNq2bZv166+/Wm3btrUaN25s5eTk2By9dygoKLDq1KljPfjgg8c9duutt1p16tSxfvvtN2vp0qVWp06drE6dOtkQpfc62fHfvHmz9dRTT1lLly61tm3bZn3//fdWgwYNrK5du9oUqfcZNmyYVbNmTWv69OnWtm3brKlTp1qRkZHWAw88ULSOfvtd43THXr/94goPPfSQNW/ePGvbtm3W33//bT300EOWw+GwZs+ebVnW8f+//PHHH5afn5/18ssvWwkJCdaYMWMsf39/a/Xq1XbtQoVS0vfL088TeaNu3bpZd911V9F9fcfc3+neM33P7HPvvfda8fHx1rZt26w//vjD6t27txUZGWnt3bvXsiz3+n4p6ecEb731llWnTh0rICDA6tChg7V48eKix7p162YNGzas6H7dunUt4LhpzJgx5R94KZVkfx999FGrUaNGVlBQkFWlShWrU6dO1uTJk22IuvRKsr//5UlJP8sq2b7efffdRetGR0dbF198sbV8+XIboi69kr63CxcutDp27GgFBgZaDRo0sJ599lkrPz+/nKMunZLu6/r16y2gqDHvaUqyv3l5edYTTzxhNWzY0AoKCrJq165t3X777R6TCCvJvsbHx1txcXFWYGCgVa1aNWvo0KHWrl27bIi6dObOnXvCv6FH9nHYsGFWt27djntO69atrYCAAKtBgwbWJ598Uu5xy5n78ccfrebNm1uBgYFW06ZNrQ8++KDY44WFhdbo0aOt6OhoKzAw0OrVq5e1YcMGm6L1Lqc69llZWVafPn2sqKgoy9/f36pbt6518803F11gIGX3888/W8AJP8/Z2dnW7bffblWpUsUKCQmxrrjiCispKcmGKL3XyY5/YmKi1bVrV6tq1apWYGCg1ahRI+v++++30tPTbYrU+xw8eNC66667rDp16lhBQUFWgwYNrEcffdTKzc0tWke//a5xumOv335xhRtuuMGqW7euFRAQYEVFRVm9evUq9j/nif43/frrr62zzjrLCggIsJo1a2bNmDGjnKOuuEr6fnnDeSJv898Ekr5j7u9075m+Z/YZNGiQFRMTYwUEBFg1a9a0Bg0aZG3evLnocXf6fjksy41rl4mIiIiIiIiIiIiIiIjIaWlMPxEREREREREREREREREPp6SfiIiIiIiIiIiIiIiIiIdT0k9ERERERERERERERETEwynpJyIiIiIiIiIiIiIiIuLhlPQTERERERERERERERER8XBK+omIiIiIiIiIiIiIiIh4OCX9RERERERERERERERERDyckn4iIiIiIiIiIiIiIiIiHk5JPxHxaE888QStW7cuuj98+HAuv/zyco2hXr16vP766+X6miIiIiIiIiIiIiIix1LST0Q82n333cecOXPK5bUmTJhARETEccuXLFnCLbfcUi4xiIiISMXWvXt37r77brvDcLn/XtglIiIiIiIip6ekn4h4tNDQUKpVq1ambRw+fLhMz4+KiiIkJKRM2xARERGpCMra7iopy7LIz88v19cUERERKe82z5lwx5hExPmU9BMRt/bBBx8QGxtLYWFhseX9+/fnhhtuOOlV4E8++SRRUVFUrlyZW2+9tVjDpnv37owcOZK7776byMhI+vbtC8Crr75KixYtqFSpErVr1+b2228nMzMTgPj4eK6//nrS09NxOBw4HA6eeOIJ4PjynomJifTv35/Q0FAqV67MVVddxZ49e4oePxLz559/Tr169QgPD+fqq68mIyPDSUdNREREvNHw4cOZN28eb7zxRlF7ZPv27axZs4aLLrqI0NBQoqOjGTp0KCkpKUXP6969O3fccQd33303VapUITo6mvHjx3Po0CGuv/56wsLCaNSoET/99FPRc+Lj43E4HMyYMYOWLVsSFBTEueeey5o1a4rFtGDBArp06UJwcDC1a9fmzjvv5NChQ0WP16tXj6effprrrruOypUrF1VHePDBBznrrLMICQmhQYMGjB49mry8PMBUV3jyySdZtWpV0X5OmDCB7du343A4WLlyZdH209LScDgcxMfHF4v7p59+ol27dgQGBrJgwQIKCwsZO3Ys9evXJzg4mFatWvHtt986+y0SERERL3XkXNLIkSMJDw8nMjKS0aNHY1kWcPI2z+naSu+88w6NGzcmKCiI6Oho/u///q/osW+//ZYWLVoQHBxMtWrV6N27d9FzT1T94fLLL2f48OFF90sbk4h4NiX9RMStXXnllaSmpjJ37tyiZfv372fWrFkMHjz4hM+ZM2cOCQkJxMfHM2nSJKZOncqTTz5ZbJ1PP/2UgIAA/vjjD9577z0AfHx8ePPNN1m7di2ffvopv/32Gw888AAAnTt35vXXX6dy5cokJSWRlJTEfffdd9xrFxYW0r9/f/bv38+8efP45Zdf2Lp1K4MGDSq23pYtW/juu++YPn0606dPZ968eTz//PNlOlYiIiLi3d544w06derEzTffXNQeCQsLo2fPnrRp04alS5cya9Ys9uzZw1VXXVXsuZ9++imRkZH89ddf3HHHHdx2221ceeWVdO7cmeXLl9OnTx+GDh1KVlZWsefdf//9vPLKKyxZsoSoqCj69etXlJzbsmULF154IQMHDuTvv//mq6++YsGCBYwcObLYNl5++WVatWrFihUrGD16NABhYWFMmDCBdevW8cYbbzB+/Hhee+01AAYNGsS9995Ls2bNivbzv22p03nooYd4/vnnSUhIoGXLlowdO5bPPvuM9957j7Vr13LPPfcwZMgQ5s2bV6LtioiISMX16aef4ufnx19//cUbb7zBq6++yocfflj0+H/bPKdrKy1dupQ777yTp556ig0bNjBr1iy6du0KQFJSEtdccw033HBD0TmuAQMGFCUZz1RJYxIRL2CJiLi5/v37WzfccEPR/ffff9+KjY21CgoKrDFjxlitWrUqemzYsGFW1apVrUOHDhUte/fdd63Q0FCroKDAsizL6tatm9WmTZvTvu4333xjVatWrej+J598YoWHhx+3Xt26da3XXnvNsizLmj17tuXr62slJiYWPb527VoLsP766y/LsixrzJgxVkhIiHXw4MGide6//36rY8eOp41JREREKrZu3bpZd911V9H9p59+2urTp0+xdXbu3GkB1oYNG4qec/755xc9np+fb1WqVMkaOnRo0bKkpCQLsBYtWmRZlmXNnTvXAqzJkycXrZOammoFBwdbX331lWVZlnXjjTdat9xyS7HXnj9/vuXj42NlZ2dblmXaSZdffvlp9+ull16y2rVrV3T/v208y7Ksbdu2WYC1YsWKomUHDhywAGvu3LnF4v7uu++K1snJybFCQkKshQsXFtvejTfeaF1zzTWnjU1ERESkW7duVlxcnFVYWFi07MEHH7Ti4uIsyzpxm+d0baUpU6ZYlStXLnZ+6Ihly5ZZgLV9+/aTxnNsm9CyzPmzYcOGFd0vTUwi4vnU009E3N7gwYOZMmUKubm5AEycOJGrr74aH58T/4S1atWq2Bh7nTp1IjMzk507dxYta9eu3XHP+/XXX+nVqxc1a9YkLCyMoUOHkpqaetwV76eSkJBA7dq1qV27dtGys88+m4iICBISEoqW1atXj7CwsKL7MTEx7N2794xfR0RERARg1apVzJ07l9DQ0KKpadOmgOmJd0TLli2Lbvv6+lKtWjVatGhRtCw6OhrguPZIp06dim5XrVqVJk2aFLVpVq1axYQJE4q9dt++fSksLGTbtm1Fz2vfvv1xcX/11Vecd9551KhRg9DQUB577DESExPLciiKOfY1N2/eTFZWFhdccEGxWD/77LNix0hERETkVM4991wcDkfR/U6dOrFp0yYKCgqA49s8p2srXXDBBdStW5cGDRowdOhQJk6cWHQOqlWrVvTq1YsWLVpw5ZVXMn78eA4cOFDimEsak4h4Pj+7AxAROZ1+/fphWRYzZszgnHPOYf78+UXln0qrUqVKxe5v376dSy+9lNtuu41nn32WqlWrsmDBAm688UYOHz5cLInoDP7+/sXuOxyO48YtFBERETmdzMxM+vXrxwsvvHDcYzExMUW3T9T2OHbZkRNYJWmPZGZm8r///Y8777zzuMfq1KlTdPu/7a5FixYxePBgnnzySfr27Ut4eDiTJ0/mlVdeOeXrHbngyzqmrNWRUqP/dexrHhmjecaMGdSsWbPYeoGBgad8TREREZEz9d82z+naSgEBASxfvpz4+Hhmz57N448/zhNPPMGSJUuIiIjgl19+YeHChcyePZu33nqLRx99lD///JP69evj4+NzXKnPE7WLShqTiHg+Jf1ExO0FBQUxYMAAJk6cyObNm2nSpAlt27Y96fqrVq0iOzub4OBgABYvXkxoaGix3nf/tWzZMgoLC3nllVeKTih9/fXXxdYJCAgounrrZOLi4ti5cyc7d+4ser1169aRlpbG2WeffUb7KyIiInIy/22PtG3blilTplCvXj38/Jz/793ixYuLTgAdOHCAjRs3EhcXV/Ta69ato1GjRiXa5sKFC6lbty6PPvpo0bIdO3YUW+dE7a6oqCjAjHHTpk0bAFauXHna1zv77LMJDAwkMTGRbt26lShWERERkSP+/PPPYvcXL15M48aN8fX1PeH6Z9JW8vPzo3fv3vTu3ZsxY8YQERHBb7/9xoABA3A4HJx33nmcd955PP7449StW5dp06YxatQooqKiSEpKKtpOQUEBa9asoUePHqfch9K230TEc6i8p4h4hMGDBzNjxgw+/vhjBg8efMp1Dx8+zI033si6deuYOXMmY8aMYeTIkSctBwrQqFEj8vLyeOutt9i6dSuff/457733XrF16tWrR2ZmJnPmzCElJeWEZT979+5NixYtGDx4MMuXL+evv/7iuuuuo1u3bicsbSUiIiJSEvXq1ePPP/9k+/btpKSkMGLECPbv388111zDkiVL2LJlCz///DPXX3/9aS9WOhNPPfUUc+bMYc2aNQwfPpzIyEguv/xyAB588EEWLlzIyJEjWblyJZs2beL7779n5MiRp9xm48aNSUxMZPLkyWzZsoU333yTadOmHbef27ZtY+XKlaSkpJCbm0twcDDnnnsuzz//PAkJCcybN4/HHnvstPsQFhbGfffdxz333MOnn37Kli1bWL58OW+99RaffvppqY+NiIiIVCyJiYmMGjWKDRs2MGnSJN566y3uuuuuk65/urbS9OnTefPNN1m5ciU7duzgs88+o7CwkCZNmvDnn3/y3HPPsXTpUhITE5k6dSr79u0ruviqZ8+ezJgxgxkzZrB+/Xpuu+020tLSTrsPpW2/iYjnUNJPRDxCz549qVq1Khs2bODaa6895bq9evWicePGdO3alUGDBnHZZZfxxBNPnPI5rVq14tVXX+WFF16gefPmTJw4kbFjxxZbp3Pnztx6660MGjSIqKgoXnzxxeO243A4+P7776lSpQpdu3ald+/eNGjQgK+++qrE+ywiIiLyX/fddx++vr6cffbZREVFcfjwYf744w8KCgro06cPLVq04O677yYiIuKUFzydqeeff5677rqLdu3akZyczI8//khAQABgxgmcN28eGzdupEuXLrRp04bHH3+c2NjYU27zsssu45577mHkyJG0bt2ahQsXMnr06GLrDBw4kAsvvJAePXoQFRXFpEmTAPj444/Jz8+nXbt23H333TzzzDNntB9PP/00o0ePZuzYscTFxXHhhRcyY8YM6tevX4qjIiIiIhXRddddR3Z2Nh06dGDEiBHcdddd3HLLLSdd/3RtpYiICKZOnUrPnj2Ji4vjvffeY9KkSTRr1ozKlSvz+++/c/HFF3PWWWfx2GOP8corr3DRRRcBcMMNNzBs2LCiC80bNGhw2l5+ZxKTiHg+h/Xf4r8iIiIiIiJSocXHx9OjRw8OHDhARESE3eGIiIiI2Kp79+60bt2a119/3e5QREROST39RERERERERERERERERDyckn4iIiIiIiIiIiIiIiIiHk7lPUVEREREREREREREREQ8nHr6iYiIiIiIiIiIiIiIiHg4Jf1EREREREREREREREREPJySfiIiIiIiIiIiIiIiIiIeTkk/EREREREREREREREREQ+npJ+IiIiIiIiIiIiIiIiIh1PST0RERERERERERERERMTDKeknIiIiIiIiIiIiIiIi4uGU9BMRERERERERERERERHxcEr6iYiIiIiIiIiIiIiIiHi4/wdDN5h15rISxwAAAABJRU5ErkJggg==\n"},"metadata":{}}]},{"cell_type":"code","source":["features = ['vibration', 'temperature', 'pressure']\n","X = my_data[features]"],"metadata":{"id":"FW_HkVhU1IVX","executionInfo":{"status":"ok","timestamp":1745056517772,"user_tz":-180,"elapsed":7,"user":{"displayName":"مالك المصنف","userId":"01645315346138749579"}}},"execution_count":337,"outputs":[]},{"cell_type":"code","source":["model = IsolationForest(contamination=0.05, random_state=42)  # 5% شذوذ متوقعة\n","my_data['anomaly1'] = model.fit_predict(X)  # -1 = شاذ، 1 = طبيعي"],"metadata":{"id":"8d-waCSo1HhA","executionInfo":{"status":"ok","timestamp":1745056517779,"user_tz":-180,"elapsed":4,"user":{"displayName":"مالك المصنف","userId":"01645315346138749579"}}},"execution_count":338,"outputs":[]},{"cell_type":"code","source":["my_data.anomaly1.value_counts()\n"],"metadata":{"colab":{"base_uri":"https://localhost:8080/","height":178},"id":"crzFjquJ1kU7","executionInfo":{"status":"ok","timestamp":1745056517808,"user_tz":-180,"elapsed":10,"user":{"displayName":"مالك المصنف","userId":"01645315346138749579"}},"outputId":"6106f0b5-e280-42a6-b674-eb7101de9972"},"execution_count":339,"outputs":[{"output_type":"execute_result","data":{"text/plain":["anomaly1\n"," 1    950\n","-1     50\n","Name: count, dtype: int64"],"text/html":["<div>\n","<style scoped>\n","    .dataframe tbody tr th:only-of-type {\n","        vertical-align: middle;\n","    }\n","\n","    .dataframe tbody tr th {\n","        vertical-align: top;\n","    }\n","\n","    .dataframe thead th {\n","        text-align: right;\n","    }\n","</style>\n","<table border=\"1\" class=\"dataframe\">\n","  <thead>\n","    <tr style=\"text-align: right;\">\n","      <th></th>\n","      <th>count</th>\n","    </tr>\n","    <tr>\n","      <th>anomaly1</th>\n","      <th></th>\n","    </tr>\n","  </thead>\n","  <tbody>\n","    <tr>\n","      <th>1</th>\n","      <td>950</td>\n","    </tr>\n","    <tr>\n","      <th>-1</th>\n","      <td>50</td>\n","    </tr>\n","  </tbody>\n","</table>\n","</div><br><label><b>dtype:</b> int64</label>"]},"metadata":{},"execution_count":339}]},{"cell_type":"code","source":["clean_df = my_data[my_data['anomaly1'] == 1].drop(columns='anomaly1')\n","clean_df.shape"],"metadata":{"colab":{"base_uri":"https://localhost:8080/"},"id":"YdzFUzId8gvc","executionInfo":{"status":"ok","timestamp":1745056517848,"user_tz":-180,"elapsed":37,"user":{"displayName":"مالك المصنف","userId":"01645315346138749579"}},"outputId":"0142e157-4ef8-4dad-99aa-846edfc9089b"},"execution_count":340,"outputs":[{"output_type":"execute_result","data":{"text/plain":["(950, 5)"]},"metadata":{},"execution_count":340}]},{"cell_type":"code","source":["features = ['vibration', 'temperature', 'pressure']\n","X = clean_df[features]"],"metadata":{"id":"8HGOoLgl88jE","executionInfo":{"status":"ok","timestamp":1745056517855,"user_tz":-180,"elapsed":5,"user":{"displayName":"مالك المصنف","userId":"01645315346138749579"}}},"execution_count":341,"outputs":[]},{"cell_type":"code","source":["lof = LocalOutlierFactor(n_neighbors=20, contamination=0.05)\n","clean_df['lof_anomaly'] = lof.fit_predict(X)"],"metadata":{"id":"VUgW90K57qlJ","executionInfo":{"status":"ok","timestamp":1745056517906,"user_tz":-180,"elapsed":47,"user":{"displayName":"مالك المصنف","userId":"01645315346138749579"}}},"execution_count":342,"outputs":[]},{"cell_type":"code","source":["clean_df.lof_anomaly.value_counts()"],"metadata":{"colab":{"base_uri":"https://localhost:8080/","height":178},"id":"nDiJbtm67vV1","executionInfo":{"status":"ok","timestamp":1745056517911,"user_tz":-180,"elapsed":45,"user":{"displayName":"مالك المصنف","userId":"01645315346138749579"}},"outputId":"b5e256ab-736f-457e-b612-a5a97b4a0ddf"},"execution_count":343,"outputs":[{"output_type":"execute_result","data":{"text/plain":["lof_anomaly\n"," 1    902\n","-1     48\n","Name: count, dtype: int64"],"text/html":["<div>\n","<style scoped>\n","    .dataframe tbody tr th:only-of-type {\n","        vertical-align: middle;\n","    }\n","\n","    .dataframe tbody tr th {\n","        vertical-align: top;\n","    }\n","\n","    .dataframe thead th {\n","        text-align: right;\n","    }\n","</style>\n","<table border=\"1\" class=\"dataframe\">\n","  <thead>\n","    <tr style=\"text-align: right;\">\n","      <th></th>\n","      <th>count</th>\n","    </tr>\n","    <tr>\n","      <th>lof_anomaly</th>\n","      <th></th>\n","    </tr>\n","  </thead>\n","  <tbody>\n","    <tr>\n","      <th>1</th>\n","      <td>902</td>\n","    </tr>\n","    <tr>\n","      <th>-1</th>\n","      <td>48</td>\n","    </tr>\n","  </tbody>\n","</table>\n","</div><br><label><b>dtype:</b> int64</label>"]},"metadata":{},"execution_count":343}]},{"cell_type":"code","source":["clean_df = clean_df[clean_df['lof_anomaly'] == 1].drop(columns='lof_anomaly')\n","clean_df.shape"],"metadata":{"colab":{"base_uri":"https://localhost:8080/"},"id":"w6VAmhJm9OxO","executionInfo":{"status":"ok","timestamp":1745056517916,"user_tz":-180,"elapsed":19,"user":{"displayName":"مالك المصنف","userId":"01645315346138749579"}},"outputId":"1e2d6e58-37db-4864-c051-3e49e68d89b9"},"execution_count":344,"outputs":[{"output_type":"execute_result","data":{"text/plain":["(902, 5)"]},"metadata":{},"execution_count":344}]},{"cell_type":"code","source":["clean_df"],"metadata":{"colab":{"base_uri":"https://localhost:8080/","height":423},"id":"YMvVeVyw9u80","executionInfo":{"status":"ok","timestamp":1745056517973,"user_tz":-180,"elapsed":60,"user":{"displayName":"مالك المصنف","userId":"01645315346138749579"}},"outputId":"1e9c6c33-a77d-4a4a-c1bc-b2341b827497"},"execution_count":345,"outputs":[{"output_type":"execute_result","data":{"text/plain":["              timestamp  vibration  temperature  pressure  status\n","0   2025-04-01 08:00:00       0.23         67.0      3.29  normal\n","1   2025-04-01 08:10:00       0.27         60.5      3.00  normal\n","2   2025-04-01 08:20:00       0.29         60.8      3.13  normal\n","3   2025-04-01 08:30:00       0.47         66.0      3.14  normal\n","5   2025-04-01 08:50:00       0.23         69.9      3.41  normal\n","..                  ...        ...          ...       ...     ...\n","994 2025-04-08 05:40:00       0.24         67.5      3.28  normal\n","995 2025-04-08 05:50:00       0.84         78.0      4.46   fault\n","996 2025-04-08 06:00:00       0.24         62.8      3.47  normal\n","997 2025-04-08 06:10:00       0.95         78.8      4.74   fault\n","999 2025-04-08 06:30:00       0.40         63.5      3.38  normal\n","\n","[902 rows x 5 columns]"],"text/html":["\n","  <div id=\"df-ea52733e-7be1-4ac1-a38d-558cc724c8ee\" class=\"colab-df-container\">\n","    <div>\n","<style scoped>\n","    .dataframe tbody tr th:only-of-type {\n","        vertical-align: middle;\n","    }\n","\n","    .dataframe tbody tr th {\n","        vertical-align: top;\n","    }\n","\n","    .dataframe thead th {\n","        text-align: right;\n","    }\n","</style>\n","<table border=\"1\" class=\"dataframe\">\n","  <thead>\n","    <tr style=\"text-align: right;\">\n","      <th></th>\n","      <th>timestamp</th>\n","      <th>vibration</th>\n","      <th>temperature</th>\n","      <th>pressure</th>\n","      <th>status</th>\n","    </tr>\n","  </thead>\n","  <tbody>\n","    <tr>\n","      <th>0</th>\n","      <td>2025-04-01 08:00:00</td>\n","      <td>0.23</td>\n","      <td>67.0</td>\n","      <td>3.29</td>\n","      <td>normal</td>\n","    </tr>\n","    <tr>\n","      <th>1</th>\n","      <td>2025-04-01 08:10:00</td>\n","      <td>0.27</td>\n","      <td>60.5</td>\n","      <td>3.00</td>\n","      <td>normal</td>\n","    </tr>\n","    <tr>\n","      <th>2</th>\n","      <td>2025-04-01 08:20:00</td>\n","      <td>0.29</td>\n","      <td>60.8</td>\n","      <td>3.13</td>\n","      <td>normal</td>\n","    </tr>\n","    <tr>\n","      <th>3</th>\n","      <td>2025-04-01 08:30:00</td>\n","      <td>0.47</td>\n","      <td>66.0</td>\n","      <td>3.14</td>\n","      <td>normal</td>\n","    </tr>\n","    <tr>\n","      <th>5</th>\n","      <td>2025-04-01 08:50:00</td>\n","      <td>0.23</td>\n","      <td>69.9</td>\n","      <td>3.41</td>\n","      <td>normal</td>\n","    </tr>\n","    <tr>\n","      <th>...</th>\n","      <td>...</td>\n","      <td>...</td>\n","      <td>...</td>\n","      <td>...</td>\n","      <td>...</td>\n","    </tr>\n","    <tr>\n","      <th>994</th>\n","      <td>2025-04-08 05:40:00</td>\n","      <td>0.24</td>\n","      <td>67.5</td>\n","      <td>3.28</td>\n","      <td>normal</td>\n","    </tr>\n","    <tr>\n","      <th>995</th>\n","      <td>2025-04-08 05:50:00</td>\n","      <td>0.84</td>\n","      <td>78.0</td>\n","      <td>4.46</td>\n","      <td>fault</td>\n","    </tr>\n","    <tr>\n","      <th>996</th>\n","      <td>2025-04-08 06:00:00</td>\n","      <td>0.24</td>\n","      <td>62.8</td>\n","      <td>3.47</td>\n","      <td>normal</td>\n","    </tr>\n","    <tr>\n","      <th>997</th>\n","      <td>2025-04-08 06:10:00</td>\n","      <td>0.95</td>\n","      <td>78.8</td>\n","      <td>4.74</td>\n","      <td>fault</td>\n","    </tr>\n","    <tr>\n","      <th>999</th>\n","      <td>2025-04-08 06:30:00</td>\n","      <td>0.40</td>\n","      <td>63.5</td>\n","      <td>3.38</td>\n","      <td>normal</td>\n","    </tr>\n","  </tbody>\n","</table>\n","<p>902 rows × 5 columns</p>\n","</div>\n","    <div class=\"colab-df-buttons\">\n","\n","  <div class=\"colab-df-container\">\n","    <button class=\"colab-df-convert\" onclick=\"convertToInteractive('df-ea52733e-7be1-4ac1-a38d-558cc724c8ee')\"\n","            title=\"Convert this dataframe to an interactive table.\"\n","            style=\"display:none;\">\n","\n","  <svg xmlns=\"http://www.w3.org/2000/svg\" height=\"24px\" viewBox=\"0 -960 960 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(clean_df.loc[next_faults[0], \"timestamp\"] - clean_df.loc[i, \"timestamp\"]).total_seconds()\n","    else:\n","        seconds = None\n","    time_to_failure.append(seconds)\n","\n","clean_df[\"time_to_failure\"] = time_to_failure\n","\n","# عرض عينة للتأكد\n","clean_df[[\"timestamp\", \"status\", \"time_to_failure\"]].head(10)"],"metadata":{"colab":{"base_uri":"https://localhost:8080/","height":363},"id":"ta8C6Lx0_UXi","executionInfo":{"status":"ok","timestamp":1745056518017,"user_tz":-180,"elapsed":38,"user":{"displayName":"مالك المصنف","userId":"01645315346138749579"}},"outputId":"d3d72931-e410-4f44-c543-c374e84e11ec"},"execution_count":346,"outputs":[{"output_type":"execute_result","data":{"text/plain":["            timestamp  status  time_to_failure\n","0 2025-04-01 08:00:00  normal           7200.0\n","1 2025-04-01 08:10:00  normal           6600.0\n","2 2025-04-01 08:20:00  normal           6000.0\n","3 2025-04-01 08:30:00  normal           5400.0\n","4 2025-04-01 08:50:00  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3.43\n","19       0.35         67.8      3.42"],"text/html":["\n","  <div id=\"df-7b9e9908-9f50-4963-993e-984e6286a2af\" class=\"colab-df-container\">\n","    <div>\n","<style scoped>\n","    .dataframe tbody tr th:only-of-type {\n","        vertical-align: middle;\n","    }\n","\n","    .dataframe tbody tr th {\n","        vertical-align: top;\n","    }\n","\n","    .dataframe thead th {\n","        text-align: right;\n","    }\n","</style>\n","<table border=\"1\" class=\"dataframe\">\n","  <thead>\n","    <tr style=\"text-align: right;\">\n","      <th></th>\n","      <th>vibration</th>\n","      <th>temperature</th>\n","      <th>pressure</th>\n","    </tr>\n","  </thead>\n","  <tbody>\n","    <tr>\n","      <th>0</th>\n","      <td>0.23</td>\n","      <td>67.0</td>\n","      <td>3.29</td>\n","    </tr>\n","    <tr>\n","      <th>1</th>\n","      <td>0.27</td>\n","      <td>60.5</td>\n","      <td>3.00</td>\n","    </tr>\n","    <tr>\n","      <th>2</th>\n","      <td>0.29</td>\n"," 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Visit the ' +\n","          '<a target=\"_blank\" href=https://colab.research.google.com/notebooks/data_table.ipynb>data table notebook</a>'\n","          + ' to learn more about interactive tables.';\n","        element.innerHTML = '';\n","        dataTable['output_type'] = 'display_data';\n","        await google.colab.output.renderOutput(dataTable, element);\n","        const docLink = document.createElement('div');\n","        docLink.innerHTML = docLinkHtml;\n","        element.appendChild(docLink);\n","      }\n","    </script>\n","  </div>\n","\n","\n","<div id=\"df-ae6c679a-459c-406a-a3a1-769824944b98\">\n","  <button class=\"colab-df-quickchart\" onclick=\"quickchart('df-ae6c679a-459c-406a-a3a1-769824944b98')\"\n","            title=\"Suggest charts\"\n","            style=\"display:none;\">\n","\n","<svg xmlns=\"http://www.w3.org/2000/svg\" height=\"24px\"viewBox=\"0 0 24 24\"\n","     width=\"24px\">\n","    <g>\n","        <path d=\"M19 3H5c-1.1 0-2 .9-2 2v14c0 1.1.9 2 2 2h14c1.1 0 2-.9 2-2V5c0-1.1-.9-2-2-2zM9 17H7v-7h2v7zm4 0h-2V7h2v10zm4 0h-2v-4h2v4z\"/>\n","    </g>\n","</svg>\n","  </button>\n","\n","<style>\n","  .colab-df-quickchart {\n","      --bg-color: #E8F0FE;\n","      --fill-color: #1967D2;\n","      --hover-bg-color: #E2EBFA;\n","      --hover-fill-color: #174EA6;\n","      --disabled-fill-color: #AAA;\n","      --disabled-bg-color: #DDD;\n","  }\n","\n","  [theme=dark] .colab-df-quickchart {\n","      --bg-color: #3B4455;\n","      --fill-color: #D2E3FC;\n","      --hover-bg-color: #434B5C;\n","      --hover-fill-color: #FFFFFF;\n","      --disabled-bg-color: #3B4455;\n","      --disabled-fill-color: #666;\n","  }\n","\n","  .colab-df-quickchart {\n","    background-color: var(--bg-color);\n","    border: none;\n","    border-radius: 50%;\n","    cursor: pointer;\n","    display: none;\n","    fill: var(--fill-color);\n","    height: 32px;\n","    padding: 0;\n","    width: 32px;\n","  }\n","\n","  .colab-df-quickchart:hover {\n","    background-color: var(--hover-bg-color);\n","    box-shadow: 0 1px 2px rgba(60, 64, 67, 0.3), 0 1px 3px 1px rgba(60, 64, 67, 0.15);\n","    fill: var(--button-hover-fill-color);\n","  }\n","\n","  .colab-df-quickchart-complete:disabled,\n","  .colab-df-quickchart-complete:disabled:hover {\n","    background-color: var(--disabled-bg-color);\n","    fill: var(--disabled-fill-color);\n","    box-shadow: none;\n","  }\n","\n","  .colab-df-spinner {\n","    border: 2px solid var(--fill-color);\n","    border-color: transparent;\n","    border-bottom-color: var(--fill-color);\n","    animation:\n","      spin 1s steps(1) infinite;\n","  }\n","\n","  @keyframes spin {\n","    0% {\n","      border-color: transparent;\n","      border-bottom-color: var(--fill-color);\n","      border-left-color: var(--fill-color);\n","    }\n","    20% {\n","      border-color: transparent;\n","      border-left-color: var(--fill-color);\n","      border-top-color: var(--fill-color);\n","    }\n","    30% {\n","      border-color: transparent;\n","      border-left-color: var(--fill-color);\n","      border-top-color: var(--fill-color);\n","      border-right-color: var(--fill-color);\n","    }\n","    40% {\n","      border-color: transparent;\n","      border-right-color: var(--fill-color);\n","      border-top-color: var(--fill-color);\n","    }\n","    60% {\n","      border-color: transparent;\n","      border-right-color: var(--fill-color);\n","    }\n","    80% {\n","      border-color: transparent;\n","      border-right-color: var(--fill-color);\n","      border-bottom-color: var(--fill-color);\n","    }\n","    90% {\n","      border-color: transparent;\n","      border-bottom-color: var(--fill-color);\n","    }\n","  }\n","</style>\n","\n","  <script>\n","    async function quickchart(key) {\n","      const quickchartButtonEl =\n","        document.querySelector('#' + key + ' button');\n","      quickchartButtonEl.disabled = true;  // To prevent multiple clicks.\n","      quickchartButtonEl.classList.add('colab-df-spinner');\n","      try {\n","        const charts = await google.colab.kernel.invokeFunction(\n","            'suggestCharts', [key], {});\n","      } catch (error) {\n","        console.error('Error during call to suggestCharts:', error);\n","      }\n","      quickchartButtonEl.classList.remove('colab-df-spinner');\n","      quickchartButtonEl.classList.add('colab-df-quickchart-complete');\n","    }\n","    (() => {\n","      let quickchartButtonEl =\n","        document.querySelector('#df-ae6c679a-459c-406a-a3a1-769824944b98 button');\n","      quickchartButtonEl.style.display =\n","        google.colab.kernel.accessAllowed ? 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\"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"pressure\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 0.5147209833628518,\n        \"min\": 2.8,\n        \"max\": 4.98,\n        \"num_unique_values\": 145,\n        \"samples\": [\n          4.27,\n          4.43,\n          3.39\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    }\n  ]\n}"}},"metadata":{},"execution_count":351}]},{"cell_type":"code","source":["X.shape"],"metadata":{"colab":{"base_uri":"https://localhost:8080/"},"id":"ajGfZzq7Y25S","executionInfo":{"status":"ok","timestamp":1745056518147,"user_tz":-180,"elapsed":47,"user":{"displayName":"مالك المصنف","userId":"01645315346138749579"}},"outputId":"5940830b-3abb-4096-aebf-09b94bead930"},"execution_count":352,"outputs":[{"output_type":"execute_result","data":{"text/plain":["(901, 3)"]},"metadata":{},"execution_count":352}]},{"cell_type":"code","source":["Y.head(20)"],"metadata":{"colab":{"base_uri":"https://localhost:8080/","height":711},"id":"Vb0lWKOiEGCA","executionInfo":{"status":"ok","timestamp":1745056518207,"user_tz":-180,"elapsed":57,"user":{"displayName":"مالك المصنف","userId":"01645315346138749579"}},"outputId":"661bbc2b-b24e-4c9f-cbcd-6f84be31dd86"},"execution_count":353,"outputs":[{"output_type":"execute_result","data":{"text/plain":["0     7200.0\n","1     6600.0\n","2     6000.0\n","3     5400.0\n","4     4200.0\n","5     3600.0\n","6     3000.0\n","7     2400.0\n","8     1800.0\n","9     1200.0\n","10     600.0\n","11       0.0\n","12    1800.0\n","13    1200.0\n","14     600.0\n","15       0.0\n","16       0.0\n","17       0.0\n","18    2400.0\n","19    1800.0\n","Name: time_to_failure, dtype: float64"],"text/html":["<div>\n","<style scoped>\n","    .dataframe tbody tr th:only-of-type {\n","        vertical-align: middle;\n","    }\n","\n","    .dataframe tbody tr th {\n","        vertical-align: top;\n","    }\n","\n","    .dataframe thead th {\n","        text-align: right;\n","    }\n","</style>\n","<table border=\"1\" class=\"dataframe\">\n","  <thead>\n","    <tr style=\"text-align: right;\">\n","      <th></th>\n","      <th>time_to_failure</th>\n","    </tr>\n","  </thead>\n","  <tbody>\n","    <tr>\n","      <th>0</th>\n","      <td>7200.0</td>\n","    </tr>\n","    <tr>\n","      <th>1</th>\n","      <td>6600.0</td>\n","    </tr>\n","    <tr>\n","      <th>2</th>\n","      <td>6000.0</td>\n","    </tr>\n","    <tr>\n","      <th>3</th>\n","      <td>5400.0</td>\n","    </tr>\n","    <tr>\n","      <th>4</th>\n","      <td>4200.0</td>\n","    </tr>\n","    <tr>\n","      <th>5</th>\n","      <td>3600.0</td>\n","    </tr>\n","    <tr>\n","      <th>6</th>\n","      <td>3000.0</td>\n","    </tr>\n","    <tr>\n","      <th>7</th>\n","      <td>2400.0</td>\n","    </tr>\n","    <tr>\n","      <th>8</th>\n","      <td>1800.0</td>\n","    </tr>\n","    <tr>\n","      <th>9</th>\n","      <td>1200.0</td>\n","    </tr>\n","    <tr>\n","      <th>10</th>\n","      <td>600.0</td>\n","    </tr>\n","    <tr>\n","      <th>11</th>\n","      <td>0.0</td>\n","    </tr>\n","    <tr>\n","      <th>12</th>\n","      <td>1800.0</td>\n","    </tr>\n","    <tr>\n","      <th>13</th>\n","      <td>1200.0</td>\n","    </tr>\n","    <tr>\n","      <th>14</th>\n","      <td>600.0</td>\n","    </tr>\n","    <tr>\n","      <th>15</th>\n","      <td>0.0</td>\n","    </tr>\n","    <tr>\n","      <th>16</th>\n","      <td>0.0</td>\n","    </tr>\n","    <tr>\n","      <th>17</th>\n","      <td>0.0</td>\n","    </tr>\n","    <tr>\n","      <th>18</th>\n","      <td>2400.0</td>\n","    </tr>\n","    <tr>\n","      <th>19</th>\n","      <td>1800.0</td>\n","    </tr>\n","  </tbody>\n","</table>\n","</div><br><label><b>dtype:</b> float64</label>"]},"metadata":{},"execution_count":353}]},{"cell_type":"markdown","source":["# Split The Data And Scaling Data"],"metadata":{"id":"I0r-cVft3NTt"}},{"cell_type":"code","source":["cutoff = int(len(X) * 0.8)\n","X_train, y_train = X.iloc[:cutoff], Y.iloc[:cutoff]\n","X_test, y_test = X.iloc[cutoff:], Y.iloc[cutoff:]"],"metadata":{"id":"8B8FOKJgLu-Z","executionInfo":{"status":"ok","timestamp":1745056518211,"user_tz":-180,"elapsed":52,"user":{"displayName":"مالك المصنف","userId":"01645315346138749579"}}},"execution_count":354,"outputs":[]},{"cell_type":"code","source":["scaler = StandardScaler()\n","target_scaler = StandardScaler()\n","x_train_scaled = scaler.fit_transform(X_train)\n","x_test_scaled = scaler.transform(X_test)\n","y_train_scaled = target_scaler.fit_transform(y_train.values.reshape(-1, 1)).flatten()\n","y_test_scaled = target_scaler.transform(y_test.values.reshape(-1, 1)).flatten()"],"metadata":{"id":"ewGcrKYGtJ9X","executionInfo":{"status":"ok","timestamp":1745056518214,"user_tz":-180,"elapsed":51,"user":{"displayName":"مالك المصنف","userId":"01645315346138749579"}}},"execution_count":355,"outputs":[]},{"cell_type":"code","source":["with open('Feature_Scaler.pkl', 'wb') as f:\n","    pk.dump(scaler, f)"],"metadata":{"id":"4XtUMF7XUoMY","executionInfo":{"status":"ok","timestamp":1745056518236,"user_tz":-180,"elapsed":70,"user":{"displayName":"مالك المصنف","userId":"01645315346138749579"}}},"execution_count":356,"outputs":[]},{"cell_type":"code","source":["with open('target_scaler.pkl', 'wb') as f:\n","    pk.dump(target_scaler, f)"],"metadata":{"id":"MCYKDm9XUo4g","executionInfo":{"status":"ok","timestamp":1745056518257,"user_tz":-180,"elapsed":88,"user":{"displayName":"مالك المصنف","userId":"01645315346138749579"}}},"execution_count":357,"outputs":[]},{"cell_type":"code","source":["def get_best_worst_predictions(model_name, y_true, y_pred, clean_df):\n","    absolute_errors = np.abs(y_true - y_pred)\n","    best_idx = np.argmin(absolute_errors)\n","    worst_idx = np.argmax(absolute_errors)\n","\n","    # تحويل القيم إلى float صريح\n","    return {\n","        'model': model_name,\n","        'best': {\n","            'timestamp': clean_df.iloc[best_idx]['timestamp'],\n","            'actual': float(y_true[best_idx]),  # تحويل إلى float\n","            'predicted': float(y_pred[best_idx]),  # تحويل إلى float\n","            'error': float(absolute_errors[best_idx])  # تحويل إلى float\n","        },\n","        'worst': {\n","            'timestamp': clean_df.iloc[worst_idx]['timestamp'],\n","            'actual': float(y_true[worst_idx]),  # تحويل إلى float\n","            'predicted': float(y_pred[worst_idx]),  # تحويل إلى float\n","            'error': float(absolute_errors[worst_idx])  # تحويل إلى float\n","        }\n","    }"],"metadata":{"id":"InHBcOsIcQ3B","executionInfo":{"status":"ok","timestamp":1745056518261,"user_tz":-180,"elapsed":76,"user":{"displayName":"مالك المصنف","userId":"01645315346138749579"}}},"execution_count":358,"outputs":[]},{"cell_type":"markdown","source":["# LinearRegression"],"metadata":{"id":"_MqbjgeS2c1h"}},{"cell_type":"code","source":["LR_model = LinearRegression()\n","LR_model.fit(x_train_scaled, y_train_scaled)"],"metadata":{"colab":{"base_uri":"https://localhost:8080/","height":0},"id":"BryaG50hmNQm","executionInfo":{"status":"ok","timestamp":1745056518272,"user_tz":-180,"elapsed":53,"user":{"displayName":"مالك المصنف","userId":"01645315346138749579"}},"outputId":"122ba7a5-427b-4f01-d817-a6c93a41bae7"},"execution_count":359,"outputs":[{"output_type":"execute_result","data":{"text/plain":["LinearRegression()"],"text/html":["<style>#sk-container-id-5 {\n","  /* Definition of color scheme common for light and dark mode */\n","  --sklearn-color-text: #000;\n","  --sklearn-color-text-muted: #666;\n","  --sklearn-color-line: gray;\n","  /* Definition of color scheme for unfitted estimators */\n","  --sklearn-color-unfitted-level-0: #fff5e6;\n","  --sklearn-color-unfitted-level-1: #f6e4d2;\n","  --sklearn-color-unfitted-level-2: #ffe0b3;\n","  --sklearn-color-unfitted-level-3: chocolate;\n","  /* Definition of color scheme for fitted estimators */\n","  --sklearn-color-fitted-level-0: #f0f8ff;\n","  --sklearn-color-fitted-level-1: #d4ebff;\n","  --sklearn-color-fitted-level-2: #b3dbfd;\n","  --sklearn-color-fitted-level-3: cornflowerblue;\n","\n","  /* Specific color for light theme */\n","  --sklearn-color-text-on-default-background: var(--sg-text-color, var(--theme-code-foreground, var(--jp-content-font-color1, black)));\n","  --sklearn-color-background: var(--sg-background-color, var(--theme-background, var(--jp-layout-color0, white)));\n","  --sklearn-color-border-box: var(--sg-text-color, var(--theme-code-foreground, var(--jp-content-font-color1, black)));\n","  --sklearn-color-icon: #696969;\n","\n","  @media (prefers-color-scheme: dark) {\n","    /* Redefinition of color scheme for dark theme */\n","    --sklearn-color-text-on-default-background: var(--sg-text-color, var(--theme-code-foreground, var(--jp-content-font-color1, white)));\n","    --sklearn-color-background: var(--sg-background-color, var(--theme-background, var(--jp-layout-color0, #111)));\n","    --sklearn-color-border-box: var(--sg-text-color, var(--theme-code-foreground, var(--jp-content-font-color1, white)));\n","    --sklearn-color-icon: #878787;\n","  }\n","}\n","\n","#sk-container-id-5 {\n","  color: var(--sklearn-color-text);\n","}\n","\n","#sk-container-id-5 pre {\n","  padding: 0;\n","}\n","\n","#sk-container-id-5 input.sk-hidden--visually {\n","  border: 0;\n","  clip: rect(1px 1px 1px 1px);\n","  clip: rect(1px, 1px, 1px, 1px);\n","  height: 1px;\n","  margin: -1px;\n","  overflow: hidden;\n","  padding: 0;\n","  position: absolute;\n","  width: 1px;\n","}\n","\n","#sk-container-id-5 div.sk-dashed-wrapped {\n","  border: 1px dashed var(--sklearn-color-line);\n","  margin: 0 0.4em 0.5em 0.4em;\n","  box-sizing: border-box;\n","  padding-bottom: 0.4em;\n","  background-color: var(--sklearn-color-background);\n","}\n","\n","#sk-container-id-5 div.sk-container {\n","  /* jupyter's `normalize.less` sets `[hidden] { display: none; }`\n","     but bootstrap.min.css set `[hidden] { display: none !important; }`\n","     so we also need the `!important` here to be able to override the\n","     default hidden behavior on the sphinx rendered scikit-learn.org.\n","     See: https://github.com/scikit-learn/scikit-learn/issues/21755 */\n","  display: inline-block !important;\n","  position: relative;\n","}\n","\n","#sk-container-id-5 div.sk-text-repr-fallback {\n","  display: none;\n","}\n","\n","div.sk-parallel-item,\n","div.sk-serial,\n","div.sk-item {\n","  /* draw centered vertical line to link estimators */\n","  background-image: linear-gradient(var(--sklearn-color-text-on-default-background), var(--sklearn-color-text-on-default-background));\n","  background-size: 2px 100%;\n","  background-repeat: no-repeat;\n","  background-position: center center;\n","}\n","\n","/* Parallel-specific style estimator block */\n","\n","#sk-container-id-5 div.sk-parallel-item::after {\n","  content: \"\";\n","  width: 100%;\n","  border-bottom: 2px solid var(--sklearn-color-text-on-default-background);\n","  flex-grow: 1;\n","}\n","\n","#sk-container-id-5 div.sk-parallel {\n","  display: flex;\n","  align-items: stretch;\n","  justify-content: center;\n","  background-color: var(--sklearn-color-background);\n","  position: relative;\n","}\n","\n","#sk-container-id-5 div.sk-parallel-item {\n","  display: flex;\n","  flex-direction: column;\n","}\n","\n","#sk-container-id-5 div.sk-parallel-item:first-child::after {\n","  align-self: flex-end;\n","  width: 50%;\n","}\n","\n","#sk-container-id-5 div.sk-parallel-item:last-child::after {\n","  align-self: flex-start;\n","  width: 50%;\n","}\n","\n","#sk-container-id-5 div.sk-parallel-item:only-child::after {\n","  width: 0;\n","}\n","\n","/* Serial-specific style estimator block */\n","\n","#sk-container-id-5 div.sk-serial {\n","  display: flex;\n","  flex-direction: column;\n","  align-items: center;\n","  background-color: var(--sklearn-color-background);\n","  padding-right: 1em;\n","  padding-left: 1em;\n","}\n","\n","\n","/* Toggleable style: style used for estimator/Pipeline/ColumnTransformer box that is\n","clickable and can be expanded/collapsed.\n","- Pipeline and ColumnTransformer use this feature and define the default style\n","- Estimators will overwrite some part of the style using the `sk-estimator` class\n","*/\n","\n","/* Pipeline and ColumnTransformer style (default) */\n","\n","#sk-container-id-5 div.sk-toggleable {\n","  /* Default theme specific background. It is overwritten whether we have a\n","  specific estimator or a Pipeline/ColumnTransformer */\n","  background-color: var(--sklearn-color-background);\n","}\n","\n","/* Toggleable label */\n","#sk-container-id-5 label.sk-toggleable__label {\n","  cursor: pointer;\n","  display: flex;\n","  width: 100%;\n","  margin-bottom: 0;\n","  padding: 0.5em;\n","  box-sizing: border-box;\n","  text-align: center;\n","  align-items: start;\n","  justify-content: space-between;\n","  gap: 0.5em;\n","}\n","\n","#sk-container-id-5 label.sk-toggleable__label .caption {\n","  font-size: 0.6rem;\n","  font-weight: lighter;\n","  color: var(--sklearn-color-text-muted);\n","}\n","\n","#sk-container-id-5 label.sk-toggleable__label-arrow:before {\n","  /* Arrow on the left of the label */\n","  content: \"▸\";\n","  float: left;\n","  margin-right: 0.25em;\n","  color: var(--sklearn-color-icon);\n","}\n","\n","#sk-container-id-5 label.sk-toggleable__label-arrow:hover:before {\n","  color: var(--sklearn-color-text);\n","}\n","\n","/* Toggleable content - dropdown */\n","\n","#sk-container-id-5 div.sk-toggleable__content {\n","  max-height: 0;\n","  max-width: 0;\n","  overflow: hidden;\n","  text-align: left;\n","  /* unfitted */\n","  background-color: var(--sklearn-color-unfitted-level-0);\n","}\n","\n","#sk-container-id-5 div.sk-toggleable__content.fitted {\n","  /* fitted */\n","  background-color: var(--sklearn-color-fitted-level-0);\n","}\n","\n","#sk-container-id-5 div.sk-toggleable__content pre {\n","  margin: 0.2em;\n","  border-radius: 0.25em;\n","  color: var(--sklearn-color-text);\n","  /* unfitted */\n","  background-color: var(--sklearn-color-unfitted-level-0);\n","}\n","\n","#sk-container-id-5 div.sk-toggleable__content.fitted pre {\n","  /* unfitted */\n","  background-color: var(--sklearn-color-fitted-level-0);\n","}\n","\n","#sk-container-id-5 input.sk-toggleable__control:checked~div.sk-toggleable__content {\n","  /* Expand drop-down */\n","  max-height: 200px;\n","  max-width: 100%;\n","  overflow: auto;\n","}\n","\n","#sk-container-id-5 input.sk-toggleable__control:checked~label.sk-toggleable__label-arrow:before {\n","  content: \"▾\";\n","}\n","\n","/* Pipeline/ColumnTransformer-specific style */\n","\n","#sk-container-id-5 div.sk-label input.sk-toggleable__control:checked~label.sk-toggleable__label {\n","  color: var(--sklearn-color-text);\n","  background-color: var(--sklearn-color-unfitted-level-2);\n","}\n","\n","#sk-container-id-5 div.sk-label.fitted input.sk-toggleable__control:checked~label.sk-toggleable__label {\n","  background-color: var(--sklearn-color-fitted-level-2);\n","}\n","\n","/* Estimator-specific style */\n","\n","/* Colorize estimator box */\n","#sk-container-id-5 div.sk-estimator input.sk-toggleable__control:checked~label.sk-toggleable__label {\n","  /* unfitted */\n","  background-color: var(--sklearn-color-unfitted-level-2);\n","}\n","\n","#sk-container-id-5 div.sk-estimator.fitted input.sk-toggleable__control:checked~label.sk-toggleable__label {\n","  /* fitted */\n","  background-color: var(--sklearn-color-fitted-level-2);\n","}\n","\n","#sk-container-id-5 div.sk-label label.sk-toggleable__label,\n","#sk-container-id-5 div.sk-label label {\n","  /* The background is the default theme color */\n","  color: var(--sklearn-color-text-on-default-background);\n","}\n","\n","/* On hover, darken the color of the background */\n","#sk-container-id-5 div.sk-label:hover label.sk-toggleable__label {\n","  color: var(--sklearn-color-text);\n","  background-color: var(--sklearn-color-unfitted-level-2);\n","}\n","\n","/* Label box, darken color on hover, fitted */\n","#sk-container-id-5 div.sk-label.fitted:hover label.sk-toggleable__label.fitted {\n","  color: var(--sklearn-color-text);\n","  background-color: var(--sklearn-color-fitted-level-2);\n","}\n","\n","/* Estimator label */\n","\n","#sk-container-id-5 div.sk-label label {\n","  font-family: monospace;\n","  font-weight: bold;\n","  display: inline-block;\n","  line-height: 1.2em;\n","}\n","\n","#sk-container-id-5 div.sk-label-container {\n","  text-align: center;\n","}\n","\n","/* Estimator-specific */\n","#sk-container-id-5 div.sk-estimator {\n","  font-family: monospace;\n","  border: 1px dotted var(--sklearn-color-border-box);\n","  border-radius: 0.25em;\n","  box-sizing: border-box;\n","  margin-bottom: 0.5em;\n","  /* unfitted */\n","  background-color: var(--sklearn-color-unfitted-level-0);\n","}\n","\n","#sk-container-id-5 div.sk-estimator.fitted {\n","  /* fitted */\n","  background-color: var(--sklearn-color-fitted-level-0);\n","}\n","\n","/* on hover */\n","#sk-container-id-5 div.sk-estimator:hover {\n","  /* unfitted */\n","  background-color: var(--sklearn-color-unfitted-level-2);\n","}\n","\n","#sk-container-id-5 div.sk-estimator.fitted:hover {\n","  /* fitted */\n","  background-color: var(--sklearn-color-fitted-level-2);\n","}\n","\n","/* Specification for estimator info (e.g. \"i\" and \"?\") */\n","\n","/* Common style for \"i\" and \"?\" */\n","\n",".sk-estimator-doc-link,\n","a:link.sk-estimator-doc-link,\n","a:visited.sk-estimator-doc-link {\n","  float: right;\n","  font-size: smaller;\n","  line-height: 1em;\n","  font-family: monospace;\n","  background-color: var(--sklearn-color-background);\n","  border-radius: 1em;\n","  height: 1em;\n","  width: 1em;\n","  text-decoration: none !important;\n","  margin-left: 0.5em;\n","  text-align: center;\n","  /* unfitted */\n","  border: var(--sklearn-color-unfitted-level-1) 1pt solid;\n","  color: var(--sklearn-color-unfitted-level-1);\n","}\n","\n",".sk-estimator-doc-link.fitted,\n","a:link.sk-estimator-doc-link.fitted,\n","a:visited.sk-estimator-doc-link.fitted {\n","  /* fitted */\n","  border: var(--sklearn-color-fitted-level-1) 1pt solid;\n","  color: var(--sklearn-color-fitted-level-1);\n","}\n","\n","/* On hover */\n","div.sk-estimator:hover .sk-estimator-doc-link:hover,\n",".sk-estimator-doc-link:hover,\n","div.sk-label-container:hover .sk-estimator-doc-link:hover,\n",".sk-estimator-doc-link:hover {\n","  /* unfitted */\n","  background-color: var(--sklearn-color-unfitted-level-3);\n","  color: var(--sklearn-color-background);\n","  text-decoration: none;\n","}\n","\n","div.sk-estimator.fitted:hover .sk-estimator-doc-link.fitted:hover,\n",".sk-estimator-doc-link.fitted:hover,\n","div.sk-label-container:hover .sk-estimator-doc-link.fitted:hover,\n",".sk-estimator-doc-link.fitted:hover {\n","  /* fitted */\n","  background-color: var(--sklearn-color-fitted-level-3);\n","  color: var(--sklearn-color-background);\n","  text-decoration: none;\n","}\n","\n","/* Span, style for the box shown on hovering the info icon */\n",".sk-estimator-doc-link span {\n","  display: none;\n","  z-index: 9999;\n","  position: relative;\n","  font-weight: normal;\n","  right: .2ex;\n","  padding: .5ex;\n","  margin: .5ex;\n","  width: min-content;\n","  min-width: 20ex;\n","  max-width: 50ex;\n","  color: var(--sklearn-color-text);\n","  box-shadow: 2pt 2pt 4pt #999;\n","  /* unfitted */\n","  background: var(--sklearn-color-unfitted-level-0);\n","  border: .5pt solid var(--sklearn-color-unfitted-level-3);\n","}\n","\n",".sk-estimator-doc-link.fitted span {\n","  /* fitted */\n","  background: var(--sklearn-color-fitted-level-0);\n","  border: var(--sklearn-color-fitted-level-3);\n","}\n","\n",".sk-estimator-doc-link:hover span {\n","  display: block;\n","}\n","\n","/* \"?\"-specific style due to the `<a>` HTML tag */\n","\n","#sk-container-id-5 a.estimator_doc_link {\n","  float: right;\n","  font-size: 1rem;\n","  line-height: 1em;\n","  font-family: monospace;\n","  background-color: var(--sklearn-color-background);\n","  border-radius: 1rem;\n","  height: 1rem;\n","  width: 1rem;\n","  text-decoration: none;\n","  /* unfitted */\n","  color: var(--sklearn-color-unfitted-level-1);\n","  border: var(--sklearn-color-unfitted-level-1) 1pt solid;\n","}\n","\n","#sk-container-id-5 a.estimator_doc_link.fitted {\n","  /* fitted */\n","  border: var(--sklearn-color-fitted-level-1) 1pt solid;\n","  color: var(--sklearn-color-fitted-level-1);\n","}\n","\n","/* On hover */\n","#sk-container-id-5 a.estimator_doc_link:hover {\n","  /* unfitted */\n","  background-color: var(--sklearn-color-unfitted-level-3);\n","  color: var(--sklearn-color-background);\n","  text-decoration: none;\n","}\n","\n","#sk-container-id-5 a.estimator_doc_link.fitted:hover {\n","  /* fitted */\n","  background-color: var(--sklearn-color-fitted-level-3);\n","}\n","</style><div id=\"sk-container-id-5\" class=\"sk-top-container\"><div class=\"sk-text-repr-fallback\"><pre>LinearRegression()</pre><b>In a Jupyter environment, please rerun this cell to show the HTML representation or trust the notebook. <br />On GitHub, the HTML representation is unable to render, please try loading this page with nbviewer.org.</b></div><div class=\"sk-container\" hidden><div class=\"sk-item\"><div class=\"sk-estimator fitted sk-toggleable\"><input class=\"sk-toggleable__control sk-hidden--visually\" id=\"sk-estimator-id-5\" type=\"checkbox\" checked><label for=\"sk-estimator-id-5\" class=\"sk-toggleable__label fitted sk-toggleable__label-arrow\"><div><div>LinearRegression</div></div><div><a class=\"sk-estimator-doc-link fitted\" rel=\"noreferrer\" target=\"_blank\" href=\"https://scikit-learn.org/1.6/modules/generated/sklearn.linear_model.LinearRegression.html\">?<span>Documentation for LinearRegression</span></a><span class=\"sk-estimator-doc-link fitted\">i<span>Fitted</span></span></div></label><div class=\"sk-toggleable__content fitted\"><pre>LinearRegression()</pre></div> </div></div></div></div>"]},"metadata":{},"execution_count":359}]},{"cell_type":"code","source":["with open('LR_model.pkl', 'wb') as f:\n","    pk.dump(LR_model, f)"],"metadata":{"id":"PGRvL-0iUy6q","executionInfo":{"status":"ok","timestamp":1745056518283,"user_tz":-180,"elapsed":7,"user":{"displayName":"مالك المصنف","userId":"01645315346138749579"}}},"execution_count":360,"outputs":[]},{"cell_type":"code","source":["LR_y_pred=LR_model.predict(x_test_scaled)\n","LR_mae = mean_absolute_error(y_test_scaled, LR_y_pred)\n","LR_rmse = np.sqrt(mean_squared_error(y_test_scaled, LR_y_pred))\n","LR_r2 = r2_score(y_test_scaled,LR_y_pred)"],"metadata":{"id":"A63ncovomsc1","executionInfo":{"status":"ok","timestamp":1745056518293,"user_tz":-180,"elapsed":7,"user":{"displayName":"مالك المصنف","userId":"01645315346138749579"}}},"execution_count":361,"outputs":[]},{"cell_type":"code","source":["print(f\"MAE: {LR_mae:.2f}, RMSE: {LR_rmse:.2f}, R²: {LR_r2:.4f}\")"],"metadata":{"colab":{"base_uri":"https://localhost:8080/"},"id":"c5TGLHRQnapy","executionInfo":{"status":"ok","timestamp":1745056518322,"user_tz":-180,"elapsed":24,"user":{"displayName":"مالك المصنف","userId":"01645315346138749579"}},"outputId":"9fc446d1-8f8a-46ee-858c-bf1ade7511c8"},"execution_count":362,"outputs":[{"output_type":"stream","name":"stdout","text":["MAE: 0.60, RMSE: 0.79, R²: 0.1716\n"]}]},{"cell_type":"code","source":["LR_y_true = target_scaler.inverse_transform(y_test_scaled.reshape(-1, 1))\n","LR_y_pred=target_scaler.inverse_transform(LR_y_pred.reshape(-1, 1))"],"metadata":{"id":"m9HB3Wcns6Dl","executionInfo":{"status":"ok","timestamp":1745056518324,"user_tz":-180,"elapsed":13,"user":{"displayName":"مالك المصنف","userId":"01645315346138749579"}}},"execution_count":363,"outputs":[]},{"cell_type":"code","source":["lr_results = get_best_worst_predictions(\n","    \"Linear Regression\",\n","    LR_y_true,\n","    LR_y_pred,\n","    clean_df\n",")"],"metadata":{"colab":{"base_uri":"https://localhost:8080/"},"id":"4cFye4EScW1E","executionInfo":{"status":"ok","timestamp":1745056518327,"user_tz":-180,"elapsed":13,"user":{"displayName":"مالك المصنف","userId":"01645315346138749579"}},"outputId":"3851c8e7-5df7-407f-b572-a84831fd5d7f"},"execution_count":364,"outputs":[{"output_type":"stream","name":"stderr","text":["<ipython-input-358-ccc3c060e742>:11: DeprecationWarning: Conversion of an array with ndim > 0 to a scalar is deprecated, and will error in future. Ensure you extract a single element from your array before performing this operation. (Deprecated NumPy 1.25.)\n","  'actual': float(y_true[best_idx]),  # تحويل إلى float\n","<ipython-input-358-ccc3c060e742>:12: DeprecationWarning: Conversion of an array with ndim > 0 to a scalar is deprecated, and will error in future. Ensure you extract a single element from your array before performing this operation. (Deprecated NumPy 1.25.)\n","  'predicted': float(y_pred[best_idx]),  # تحويل إلى float\n","<ipython-input-358-ccc3c060e742>:13: DeprecationWarning: Conversion of an array with ndim > 0 to a scalar is deprecated, and will error in future. Ensure you extract a single element from your array before performing this operation. (Deprecated NumPy 1.25.)\n","  'error': float(absolute_errors[best_idx])  # تحويل إلى float\n","<ipython-input-358-ccc3c060e742>:17: DeprecationWarning: Conversion of an array with ndim > 0 to a scalar is deprecated, and will error in future. Ensure you extract a single element from your array before performing this operation. (Deprecated NumPy 1.25.)\n","  'actual': float(y_true[worst_idx]),  # تحويل إلى float\n","<ipython-input-358-ccc3c060e742>:18: DeprecationWarning: Conversion of an array with ndim > 0 to a scalar is deprecated, and will error in future. Ensure you extract a single element from your array before performing this operation. (Deprecated NumPy 1.25.)\n","  'predicted': float(y_pred[worst_idx]),  # تحويل إلى float\n","<ipython-input-358-ccc3c060e742>:19: DeprecationWarning: Conversion of an array with ndim > 0 to a scalar is deprecated, and will error in future. Ensure you extract a single element from your array before performing this operation. (Deprecated NumPy 1.25.)\n","  'error': float(absolute_errors[worst_idx])  # تحويل إلى float\n"]}]},{"cell_type":"code","source":["plt.figure(figsize=(12, 6))\n","plt.plot(LR_y_true, label=\"Actual\")\n","plt.plot(LR_y_pred, label=\"Predicted\")\n","plt.title(\"Actual vs Predicted Time to Failure Liner Regresion\")\n","plt.xlabel(\"Index\")\n","plt.ylabel(\"Time to Failure (seconds)\")\n","plt.legend()\n","plt.grid(True)\n","plt.tight_layout()\n","plt.savefig('Liner_Regresion.png')\n","plt.show()"],"metadata":{"colab":{"base_uri":"https://localhost:8080/","height":0},"id":"A-nPQMt1roeM","executionInfo":{"status":"ok","timestamp":1745056518760,"user_tz":-180,"elapsed":440,"user":{"displayName":"مالك المصنف","userId":"01645315346138749579"}},"outputId":"d6c0ffdc-dc1d-449c-8157-25c38e362c96"},"execution_count":365,"outputs":[{"output_type":"display_data","data":{"text/plain":["<Figure size 1200x600 with 1 Axes>"],"image/png":"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\n"},"metadata":{}}]},{"cell_type":"markdown","source":["# RandomForestRegressor Model"],"metadata":{"id":"xTcv9Jdm2mwZ"}},{"cell_type":"code","source":["# from sklearn.ensemble import RandomForestRegressor\n","# from sklearn.model_selection import GridSearchCV\n","\n","# # تحديد النموذج الأساسي\n","# model = RandomForestRegressor(random_state=42)\n","\n","# # شبكة القيم لتجريبها\n","# param_grid = {\n","#     'n_estimators': [50, 100, 200],\n","#     'max_depth': [None, 10, 20, 30],\n","#     'min_samples_split': [2, 5, 10],\n","#     'min_samples_leaf': [1, 2, 4]\n","# }\n","\n","# # إنشاء GridSearchCV\n","# grid_search = GridSearchCV(\n","#     estimator=model,\n","#     param_grid=param_grid,\n","#     cv=3,\n","#     n_jobs=-1,  # استخدم كل الأنوية لتسريع العملية\n","#     scoring='neg_mean_squared_error',\n","#     verbose=2\n","# )\n","\n","# # تدريب Grid Search\n","# grid_search.fit(x_train_scaled, y_train_scaled)\n","\n","# # أفضل نموذج\n","# best_model = grid_search.best_estimator_\n","\n","# # عرض أفضل الإعدادات\n","# print(\"أفضل الإعدادات:\")\n","# print(grid_search.best_params_)\n"],"metadata":{"id":"b4QUaeNgwqE2","executionInfo":{"status":"ok","timestamp":1745056518781,"user_tz":-180,"elapsed":19,"user":{"displayName":"مالك المصنف","userId":"01645315346138749579"}}},"execution_count":366,"outputs":[]},{"cell_type":"code","source":["RF_model = RandomForestRegressor(\n","    n_estimators=100,     # عدد الأشجار\n","    max_depth=10,       # عمق الشجرة (None يعني بدون حد)\n","    random_state=42,\n","    min_samples_leaf=4,\n","   min_samples_split=10,\n",")\n","\n","RF_model.fit(x_train_scaled, y_train_scaled)"],"metadata":{"colab":{"base_uri":"https://localhost:8080/","height":0},"id":"Ji3OednmvRNg","executionInfo":{"status":"ok","timestamp":1745056518865,"user_tz":-180,"elapsed":80,"user":{"displayName":"مالك المصنف","userId":"01645315346138749579"}},"outputId":"2d794949-c3d1-41da-9f20-c887be55aa53"},"execution_count":367,"outputs":[{"output_type":"execute_result","data":{"text/plain":["RandomForestRegressor(max_depth=10, min_samples_leaf=4, min_samples_split=10,\n","                      random_state=42)"],"text/html":["<style>#sk-container-id-6 {\n","  /* Definition of color scheme common for light and dark mode */\n","  --sklearn-color-text: #000;\n","  --sklearn-color-text-muted: #666;\n","  --sklearn-color-line: gray;\n","  /* Definition of color scheme for unfitted estimators */\n","  --sklearn-color-unfitted-level-0: #fff5e6;\n","  --sklearn-color-unfitted-level-1: #f6e4d2;\n","  --sklearn-color-unfitted-level-2: #ffe0b3;\n","  --sklearn-color-unfitted-level-3: chocolate;\n","  /* Definition of color scheme for fitted estimators */\n","  --sklearn-color-fitted-level-0: #f0f8ff;\n","  --sklearn-color-fitted-level-1: #d4ebff;\n","  --sklearn-color-fitted-level-2: #b3dbfd;\n","  --sklearn-color-fitted-level-3: cornflowerblue;\n","\n","  /* Specific color for light theme */\n","  --sklearn-color-text-on-default-background: var(--sg-text-color, var(--theme-code-foreground, var(--jp-content-font-color1, black)));\n","  --sklearn-color-background: var(--sg-background-color, var(--theme-background, var(--jp-layout-color0, white)));\n","  --sklearn-color-border-box: var(--sg-text-color, var(--theme-code-foreground, var(--jp-content-font-color1, black)));\n","  --sklearn-color-icon: #696969;\n","\n","  @media (prefers-color-scheme: dark) {\n","    /* Redefinition of color scheme for dark theme */\n","    --sklearn-color-text-on-default-background: var(--sg-text-color, var(--theme-code-foreground, var(--jp-content-font-color1, white)));\n","    --sklearn-color-background: var(--sg-background-color, var(--theme-background, var(--jp-layout-color0, #111)));\n","    --sklearn-color-border-box: var(--sg-text-color, var(--theme-code-foreground, var(--jp-content-font-color1, white)));\n","    --sklearn-color-icon: #878787;\n","  }\n","}\n","\n","#sk-container-id-6 {\n","  color: var(--sklearn-color-text);\n","}\n","\n","#sk-container-id-6 pre {\n","  padding: 0;\n","}\n","\n","#sk-container-id-6 input.sk-hidden--visually {\n","  border: 0;\n","  clip: rect(1px 1px 1px 1px);\n","  clip: rect(1px, 1px, 1px, 1px);\n","  height: 1px;\n","  margin: -1px;\n","  overflow: hidden;\n","  padding: 0;\n","  position: absolute;\n","  width: 1px;\n","}\n","\n","#sk-container-id-6 div.sk-dashed-wrapped {\n","  border: 1px dashed var(--sklearn-color-line);\n","  margin: 0 0.4em 0.5em 0.4em;\n","  box-sizing: border-box;\n","  padding-bottom: 0.4em;\n","  background-color: var(--sklearn-color-background);\n","}\n","\n","#sk-container-id-6 div.sk-container {\n","  /* jupyter's `normalize.less` sets `[hidden] { display: none; }`\n","     but bootstrap.min.css set `[hidden] { display: none !important; }`\n","     so we also need the `!important` here to be able to override the\n","     default hidden behavior on the sphinx rendered scikit-learn.org.\n","     See: https://github.com/scikit-learn/scikit-learn/issues/21755 */\n","  display: inline-block !important;\n","  position: relative;\n","}\n","\n","#sk-container-id-6 div.sk-text-repr-fallback {\n","  display: none;\n","}\n","\n","div.sk-parallel-item,\n","div.sk-serial,\n","div.sk-item {\n","  /* draw centered vertical line to link estimators */\n","  background-image: linear-gradient(var(--sklearn-color-text-on-default-background), var(--sklearn-color-text-on-default-background));\n","  background-size: 2px 100%;\n","  background-repeat: no-repeat;\n","  background-position: center center;\n","}\n","\n","/* Parallel-specific style estimator block */\n","\n","#sk-container-id-6 div.sk-parallel-item::after {\n","  content: \"\";\n","  width: 100%;\n","  border-bottom: 2px solid var(--sklearn-color-text-on-default-background);\n","  flex-grow: 1;\n","}\n","\n","#sk-container-id-6 div.sk-parallel {\n","  display: flex;\n","  align-items: stretch;\n","  justify-content: center;\n","  background-color: var(--sklearn-color-background);\n","  position: relative;\n","}\n","\n","#sk-container-id-6 div.sk-parallel-item {\n","  display: flex;\n","  flex-direction: column;\n","}\n","\n","#sk-container-id-6 div.sk-parallel-item:first-child::after {\n","  align-self: flex-end;\n","  width: 50%;\n","}\n","\n","#sk-container-id-6 div.sk-parallel-item:last-child::after {\n","  align-self: flex-start;\n","  width: 50%;\n","}\n","\n","#sk-container-id-6 div.sk-parallel-item:only-child::after {\n","  width: 0;\n","}\n","\n","/* Serial-specific style estimator block */\n","\n","#sk-container-id-6 div.sk-serial {\n","  display: flex;\n","  flex-direction: column;\n","  align-items: center;\n","  background-color: var(--sklearn-color-background);\n","  padding-right: 1em;\n","  padding-left: 1em;\n","}\n","\n","\n","/* Toggleable style: style used for estimator/Pipeline/ColumnTransformer box that is\n","clickable and can be expanded/collapsed.\n","- Pipeline and ColumnTransformer use this feature and define the default style\n","- Estimators will overwrite some part of the style using the `sk-estimator` class\n","*/\n","\n","/* Pipeline and ColumnTransformer style (default) */\n","\n","#sk-container-id-6 div.sk-toggleable {\n","  /* Default theme specific background. It is overwritten whether we have a\n","  specific estimator or a Pipeline/ColumnTransformer */\n","  background-color: var(--sklearn-color-background);\n","}\n","\n","/* Toggleable label */\n","#sk-container-id-6 label.sk-toggleable__label {\n","  cursor: pointer;\n","  display: flex;\n","  width: 100%;\n","  margin-bottom: 0;\n","  padding: 0.5em;\n","  box-sizing: border-box;\n","  text-align: center;\n","  align-items: start;\n","  justify-content: space-between;\n","  gap: 0.5em;\n","}\n","\n","#sk-container-id-6 label.sk-toggleable__label .caption {\n","  font-size: 0.6rem;\n","  font-weight: lighter;\n","  color: var(--sklearn-color-text-muted);\n","}\n","\n","#sk-container-id-6 label.sk-toggleable__label-arrow:before {\n","  /* Arrow on the left of the label */\n","  content: \"▸\";\n","  float: left;\n","  margin-right: 0.25em;\n","  color: var(--sklearn-color-icon);\n","}\n","\n","#sk-container-id-6 label.sk-toggleable__label-arrow:hover:before {\n","  color: var(--sklearn-color-text);\n","}\n","\n","/* Toggleable content - dropdown */\n","\n","#sk-container-id-6 div.sk-toggleable__content {\n","  max-height: 0;\n","  max-width: 0;\n","  overflow: hidden;\n","  text-align: left;\n","  /* unfitted */\n","  background-color: var(--sklearn-color-unfitted-level-0);\n","}\n","\n","#sk-container-id-6 div.sk-toggleable__content.fitted {\n","  /* fitted */\n","  background-color: var(--sklearn-color-fitted-level-0);\n","}\n","\n","#sk-container-id-6 div.sk-toggleable__content pre {\n","  margin: 0.2em;\n","  border-radius: 0.25em;\n","  color: var(--sklearn-color-text);\n","  /* unfitted */\n","  background-color: var(--sklearn-color-unfitted-level-0);\n","}\n","\n","#sk-container-id-6 div.sk-toggleable__content.fitted pre {\n","  /* unfitted */\n","  background-color: var(--sklearn-color-fitted-level-0);\n","}\n","\n","#sk-container-id-6 input.sk-toggleable__control:checked~div.sk-toggleable__content {\n","  /* Expand drop-down */\n","  max-height: 200px;\n","  max-width: 100%;\n","  overflow: auto;\n","}\n","\n","#sk-container-id-6 input.sk-toggleable__control:checked~label.sk-toggleable__label-arrow:before {\n","  content: \"▾\";\n","}\n","\n","/* Pipeline/ColumnTransformer-specific style */\n","\n","#sk-container-id-6 div.sk-label input.sk-toggleable__control:checked~label.sk-toggleable__label {\n","  color: var(--sklearn-color-text);\n","  background-color: var(--sklearn-color-unfitted-level-2);\n","}\n","\n","#sk-container-id-6 div.sk-label.fitted input.sk-toggleable__control:checked~label.sk-toggleable__label {\n","  background-color: var(--sklearn-color-fitted-level-2);\n","}\n","\n","/* Estimator-specific style */\n","\n","/* Colorize estimator box */\n","#sk-container-id-6 div.sk-estimator input.sk-toggleable__control:checked~label.sk-toggleable__label {\n","  /* unfitted */\n","  background-color: var(--sklearn-color-unfitted-level-2);\n","}\n","\n","#sk-container-id-6 div.sk-estimator.fitted input.sk-toggleable__control:checked~label.sk-toggleable__label {\n","  /* fitted */\n","  background-color: var(--sklearn-color-fitted-level-2);\n","}\n","\n","#sk-container-id-6 div.sk-label label.sk-toggleable__label,\n","#sk-container-id-6 div.sk-label label {\n","  /* The background is the default theme color */\n","  color: var(--sklearn-color-text-on-default-background);\n","}\n","\n","/* On hover, darken the color of the background */\n","#sk-container-id-6 div.sk-label:hover label.sk-toggleable__label {\n","  color: var(--sklearn-color-text);\n","  background-color: var(--sklearn-color-unfitted-level-2);\n","}\n","\n","/* Label box, darken color on hover, fitted */\n","#sk-container-id-6 div.sk-label.fitted:hover label.sk-toggleable__label.fitted {\n","  color: var(--sklearn-color-text);\n","  background-color: var(--sklearn-color-fitted-level-2);\n","}\n","\n","/* Estimator label */\n","\n","#sk-container-id-6 div.sk-label label {\n","  font-family: monospace;\n","  font-weight: bold;\n","  display: inline-block;\n","  line-height: 1.2em;\n","}\n","\n","#sk-container-id-6 div.sk-label-container {\n","  text-align: center;\n","}\n","\n","/* Estimator-specific */\n","#sk-container-id-6 div.sk-estimator {\n","  font-family: monospace;\n","  border: 1px dotted var(--sklearn-color-border-box);\n","  border-radius: 0.25em;\n","  box-sizing: border-box;\n","  margin-bottom: 0.5em;\n","  /* unfitted */\n","  background-color: var(--sklearn-color-unfitted-level-0);\n","}\n","\n","#sk-container-id-6 div.sk-estimator.fitted {\n","  /* fitted */\n","  background-color: var(--sklearn-color-fitted-level-0);\n","}\n","\n","/* on hover */\n","#sk-container-id-6 div.sk-estimator:hover {\n","  /* unfitted */\n","  background-color: var(--sklearn-color-unfitted-level-2);\n","}\n","\n","#sk-container-id-6 div.sk-estimator.fitted:hover {\n","  /* fitted */\n","  background-color: var(--sklearn-color-fitted-level-2);\n","}\n","\n","/* Specification for estimator info (e.g. \"i\" and \"?\") */\n","\n","/* Common style for \"i\" and \"?\" */\n","\n",".sk-estimator-doc-link,\n","a:link.sk-estimator-doc-link,\n","a:visited.sk-estimator-doc-link {\n","  float: right;\n","  font-size: smaller;\n","  line-height: 1em;\n","  font-family: monospace;\n","  background-color: var(--sklearn-color-background);\n","  border-radius: 1em;\n","  height: 1em;\n","  width: 1em;\n","  text-decoration: none !important;\n","  margin-left: 0.5em;\n","  text-align: center;\n","  /* unfitted */\n","  border: var(--sklearn-color-unfitted-level-1) 1pt solid;\n","  color: var(--sklearn-color-unfitted-level-1);\n","}\n","\n",".sk-estimator-doc-link.fitted,\n","a:link.sk-estimator-doc-link.fitted,\n","a:visited.sk-estimator-doc-link.fitted {\n","  /* fitted */\n","  border: var(--sklearn-color-fitted-level-1) 1pt solid;\n","  color: var(--sklearn-color-fitted-level-1);\n","}\n","\n","/* On hover */\n","div.sk-estimator:hover .sk-estimator-doc-link:hover,\n",".sk-estimator-doc-link:hover,\n","div.sk-label-container:hover .sk-estimator-doc-link:hover,\n",".sk-estimator-doc-link:hover {\n","  /* unfitted */\n","  background-color: var(--sklearn-color-unfitted-level-3);\n","  color: var(--sklearn-color-background);\n","  text-decoration: none;\n","}\n","\n","div.sk-estimator.fitted:hover .sk-estimator-doc-link.fitted:hover,\n",".sk-estimator-doc-link.fitted:hover,\n","div.sk-label-container:hover .sk-estimator-doc-link.fitted:hover,\n",".sk-estimator-doc-link.fitted:hover {\n","  /* fitted */\n","  background-color: var(--sklearn-color-fitted-level-3);\n","  color: var(--sklearn-color-background);\n","  text-decoration: none;\n","}\n","\n","/* Span, style for the box shown on hovering the info icon */\n",".sk-estimator-doc-link span {\n","  display: none;\n","  z-index: 9999;\n","  position: relative;\n","  font-weight: normal;\n","  right: .2ex;\n","  padding: .5ex;\n","  margin: .5ex;\n","  width: min-content;\n","  min-width: 20ex;\n","  max-width: 50ex;\n","  color: var(--sklearn-color-text);\n","  box-shadow: 2pt 2pt 4pt #999;\n","  /* unfitted */\n","  background: var(--sklearn-color-unfitted-level-0);\n","  border: .5pt solid var(--sklearn-color-unfitted-level-3);\n","}\n","\n",".sk-estimator-doc-link.fitted span {\n","  /* fitted */\n","  background: var(--sklearn-color-fitted-level-0);\n","  border: var(--sklearn-color-fitted-level-3);\n","}\n","\n",".sk-estimator-doc-link:hover span {\n","  display: block;\n","}\n","\n","/* \"?\"-specific style due to the `<a>` HTML tag */\n","\n","#sk-container-id-6 a.estimator_doc_link {\n","  float: right;\n","  font-size: 1rem;\n","  line-height: 1em;\n","  font-family: monospace;\n","  background-color: var(--sklearn-color-background);\n","  border-radius: 1rem;\n","  height: 1rem;\n","  width: 1rem;\n","  text-decoration: none;\n","  /* unfitted */\n","  color: var(--sklearn-color-unfitted-level-1);\n","  border: var(--sklearn-color-unfitted-level-1) 1pt solid;\n","}\n","\n","#sk-container-id-6 a.estimator_doc_link.fitted {\n","  /* fitted */\n","  border: var(--sklearn-color-fitted-level-1) 1pt solid;\n","  color: var(--sklearn-color-fitted-level-1);\n","}\n","\n","/* On hover */\n","#sk-container-id-6 a.estimator_doc_link:hover {\n","  /* unfitted */\n","  background-color: var(--sklearn-color-unfitted-level-3);\n","  color: var(--sklearn-color-background);\n","  text-decoration: none;\n","}\n","\n","#sk-container-id-6 a.estimator_doc_link.fitted:hover {\n","  /* fitted */\n","  background-color: var(--sklearn-color-fitted-level-3);\n","}\n","</style><div id=\"sk-container-id-6\" class=\"sk-top-container\"><div class=\"sk-text-repr-fallback\"><pre>RandomForestRegressor(max_depth=10, min_samples_leaf=4, min_samples_split=10,\n","                      random_state=42)</pre><b>In a Jupyter environment, please rerun this cell to show the HTML representation or trust the notebook. <br />On GitHub, the HTML representation is unable to render, please try loading this page with nbviewer.org.</b></div><div class=\"sk-container\" hidden><div class=\"sk-item\"><div class=\"sk-estimator fitted sk-toggleable\"><input class=\"sk-toggleable__control sk-hidden--visually\" id=\"sk-estimator-id-6\" type=\"checkbox\" checked><label for=\"sk-estimator-id-6\" class=\"sk-toggleable__label fitted sk-toggleable__label-arrow\"><div><div>RandomForestRegressor</div></div><div><a class=\"sk-estimator-doc-link fitted\" rel=\"noreferrer\" target=\"_blank\" href=\"https://scikit-learn.org/1.6/modules/generated/sklearn.ensemble.RandomForestRegressor.html\">?<span>Documentation for RandomForestRegressor</span></a><span class=\"sk-estimator-doc-link fitted\">i<span>Fitted</span></span></div></label><div class=\"sk-toggleable__content fitted\"><pre>RandomForestRegressor(max_depth=10, min_samples_leaf=4, min_samples_split=10,\n","                      random_state=42)</pre></div> </div></div></div></div>"]},"metadata":{},"execution_count":367}]},{"cell_type":"code","source":["with open('RF_model.pkl', 'wb') as f:\n","    pk.dump(RF_model, f)"],"metadata":{"id":"eHXFEl3jU4Kq","executionInfo":{"status":"ok","timestamp":1745056518877,"user_tz":-180,"elapsed":8,"user":{"displayName":"مالك المصنف","userId":"01645315346138749579"}}},"execution_count":368,"outputs":[]},{"cell_type":"code","source":["RF_y_pred=RF_model.predict(x_test_scaled)\n","RF_mae = mean_absolute_error(y_test_scaled, RF_y_pred)\n","RF_rmse = np.sqrt(mean_squared_error(y_test_scaled, RF_y_pred))\n","RF_r2 = r2_score(y_test_scaled,RF_y_pred)"],"metadata":{"id":"BdQVpR6Av-9I","executionInfo":{"status":"ok","timestamp":1745056518908,"user_tz":-180,"elapsed":8,"user":{"displayName":"مالك المصنف","userId":"01645315346138749579"}}},"execution_count":369,"outputs":[]},{"cell_type":"code","source":["print(f\"MAE: {RF_mae:.2f}, RMSE: {RF_rmse:.2f}, R²: {RF_r2:.4f}\")"],"metadata":{"colab":{"base_uri":"https://localhost:8080/"},"id":"PZ8B1Q0Av2BZ","executionInfo":{"status":"ok","timestamp":1745056518944,"user_tz":-180,"elapsed":30,"user":{"displayName":"مالك المصنف","userId":"01645315346138749579"}},"outputId":"1d79ee32-fb25-400b-b730-82218f8a743b"},"execution_count":370,"outputs":[{"output_type":"stream","name":"stdout","text":["MAE: 0.58, RMSE: 0.80, R²: 0.1531\n"]}]},{"cell_type":"code","source":["RF_y_true = target_scaler.inverse_transform(y_test_scaled.reshape(-1, 1))\n","RF_y_pred = target_scaler.inverse_transform(RF_y_pred.reshape(-1, 1))"],"metadata":{"id":"_e8NU-LcwIeV","executionInfo":{"status":"ok","timestamp":1745056518948,"user_tz":-180,"elapsed":13,"user":{"displayName":"مالك المصنف","userId":"01645315346138749579"}}},"execution_count":371,"outputs":[]},{"cell_type":"code","source":["rf_results = get_best_worst_predictions(\n","    \"Random Forest\",\n","    RF_y_true,\n","    RF_y_pred,\n","    clean_df\n",")"],"metadata":{"colab":{"base_uri":"https://localhost:8080/"},"id":"pQESX7uXcwmS","executionInfo":{"status":"ok","timestamp":1745056518963,"user_tz":-180,"elapsed":22,"user":{"displayName":"مالك المصنف","userId":"01645315346138749579"}},"outputId":"7d5d1386-526c-4bb8-85d2-ae731c9c75a1"},"execution_count":372,"outputs":[{"output_type":"stream","name":"stderr","text":["<ipython-input-358-ccc3c060e742>:11: DeprecationWarning: Conversion of an array with ndim > 0 to a scalar is deprecated, and will error in future. Ensure you extract a single element from your array before performing this operation. (Deprecated NumPy 1.25.)\n","  'actual': float(y_true[best_idx]),  # تحويل إلى float\n","<ipython-input-358-ccc3c060e742>:12: DeprecationWarning: Conversion of an array with ndim > 0 to a scalar is deprecated, and will error in future. Ensure you extract a single element from your array before performing this operation. (Deprecated NumPy 1.25.)\n","  'predicted': float(y_pred[best_idx]),  # تحويل إلى float\n","<ipython-input-358-ccc3c060e742>:13: DeprecationWarning: Conversion of an array with ndim > 0 to a scalar is deprecated, and will error in future. Ensure you extract a single element from your array before performing this operation. (Deprecated NumPy 1.25.)\n","  'error': float(absolute_errors[best_idx])  # تحويل إلى float\n","<ipython-input-358-ccc3c060e742>:17: DeprecationWarning: Conversion of an array with ndim > 0 to a scalar is deprecated, and will error in future. Ensure you extract a single element from your array before performing this operation. (Deprecated NumPy 1.25.)\n","  'actual': float(y_true[worst_idx]),  # تحويل إلى float\n","<ipython-input-358-ccc3c060e742>:18: DeprecationWarning: Conversion of an array with ndim > 0 to a scalar is deprecated, and will error in future. Ensure you extract a single element from your array before performing this operation. (Deprecated NumPy 1.25.)\n","  'predicted': float(y_pred[worst_idx]),  # تحويل إلى float\n","<ipython-input-358-ccc3c060e742>:19: DeprecationWarning: Conversion of an array with ndim > 0 to a scalar is deprecated, and will error in future. Ensure you extract a single element from your array before performing this operation. (Deprecated NumPy 1.25.)\n","  'error': float(absolute_errors[worst_idx])  # تحويل إلى float\n"]}]},{"cell_type":"code","source":["plt.figure(figsize=(12, 6))\n","plt.plot(RF_y_true, label=\"Actual\")\n","plt.plot(RF_y_pred, label=\"Predicted\")\n","plt.title(\"Actual vs Predicted Time to Failure Random Forest\")\n","plt.xlabel(\"Index\")\n","plt.ylabel(\"Time to Failure (seconds)\")\n","plt.legend()\n","plt.grid(True)\n","plt.tight_layout()\n","plt.savefig('Random_Forest.png')\n","plt.show()"],"metadata":{"id":"AhpncJwXwJa-","executionInfo":{"status":"ok","timestamp":1745056519614,"user_tz":-180,"elapsed":649,"user":{"displayName":"مالك المصنف","userId":"01645315346138749579"}},"colab":{"base_uri":"https://localhost:8080/","height":0},"outputId":"3c77b0f2-b919-480c-8e9d-3d4a4a457273"},"execution_count":373,"outputs":[{"output_type":"display_data","data":{"text/plain":["<Figure size 1200x600 with 1 Axes>"],"image/png":"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\n"},"metadata":{}}]},{"cell_type":"markdown","source":["# DecisionTreeRegressor Model"],"metadata":{"id":"d2wq8lPy2wti"}},{"cell_type":"code","source":["DT_model = DecisionTreeRegressor(max_depth=5, random_state=42)\n","DT_model.fit(x_train_scaled, y_train_scaled)\n","DT_pred = DT_model.predict(x_test_scaled)"],"metadata":{"id":"orC7O6BH0M1K","executionInfo":{"status":"ok","timestamp":1745056519709,"user_tz":-180,"elapsed":89,"user":{"displayName":"مالك المصنف","userId":"01645315346138749579"}}},"execution_count":374,"outputs":[]},{"cell_type":"code","source":["with open('DT_model.pkl', 'wb') as f:\n","    pk.dump(DT_model, f)"],"metadata":{"id":"aVbBTMinVHC4","executionInfo":{"status":"ok","timestamp":1745056519731,"user_tz":-180,"elapsed":14,"user":{"displayName":"مالك المصنف","userId":"01645315346138749579"}}},"execution_count":375,"outputs":[]},{"cell_type":"code","source":["DT_mae = mean_absolute_error(y_test_scaled, DT_pred)\n","DT_rmse = np.sqrt(mean_squared_error(y_test_scaled, DT_pred))\n","DT_r2 = r2_score(y_test_scaled,DT_pred)"],"metadata":{"id":"n8WXalXV0o6a","executionInfo":{"status":"ok","timestamp":1745056519745,"user_tz":-180,"elapsed":10,"user":{"displayName":"مالك المصنف","userId":"01645315346138749579"}}},"execution_count":376,"outputs":[]},{"cell_type":"code","source":["print(f\"MAE: {DT_mae:.2f}, RMSE: {DT_rmse:.2f}, R²: {DT_r2:.4f}\")"],"metadata":{"colab":{"base_uri":"https://localhost:8080/"},"id":"xLlpi4yq0v9D","executionInfo":{"status":"ok","timestamp":1745056519791,"user_tz":-180,"elapsed":42,"user":{"displayName":"مالك المصنف","userId":"01645315346138749579"}},"outputId":"b3586fca-e0f5-4060-9324-9ff0e9806b8f"},"execution_count":377,"outputs":[{"output_type":"stream","name":"stdout","text":["MAE: 0.60, RMSE: 0.82, R²: 0.1168\n"]}]},{"cell_type":"code","source":["DT_y_true = target_scaler.inverse_transform(y_test_scaled.reshape(-1, 1))\n","DT_y_pred = target_scaler.inverse_transform(DT_pred.reshape(-1, 1))"],"metadata":{"id":"mGGT7jjG0yj6","executionInfo":{"status":"ok","timestamp":1745056519794,"user_tz":-180,"elapsed":21,"user":{"displayName":"مالك المصنف","userId":"01645315346138749579"}}},"execution_count":378,"outputs":[]},{"cell_type":"code","source":["dt_results = get_best_worst_predictions(\n","    \"Decision Tree Regressor\",\n","    DT_y_true,\n","    DT_y_pred,\n","    clean_df\n",")"],"metadata":{"colab":{"base_uri":"https://localhost:8080/"},"id":"jvSjd8tfc8_6","executionInfo":{"status":"ok","timestamp":1745056519796,"user_tz":-180,"elapsed":21,"user":{"displayName":"مالك المصنف","userId":"01645315346138749579"}},"outputId":"71d71db9-aeca-4915-9ba2-424ddbcbc2da"},"execution_count":379,"outputs":[{"output_type":"stream","name":"stderr","text":["<ipython-input-358-ccc3c060e742>:11: DeprecationWarning: Conversion of an array with ndim > 0 to a scalar is deprecated, and will error in future. Ensure you extract a single element from your array before performing this operation. (Deprecated NumPy 1.25.)\n","  'actual': float(y_true[best_idx]),  # تحويل إلى float\n","<ipython-input-358-ccc3c060e742>:12: DeprecationWarning: Conversion of an array with ndim > 0 to a scalar is deprecated, and will error in future. Ensure you extract a single element from your array before performing this operation. (Deprecated NumPy 1.25.)\n","  'predicted': float(y_pred[best_idx]),  # تحويل إلى float\n","<ipython-input-358-ccc3c060e742>:13: DeprecationWarning: Conversion of an array with ndim > 0 to a scalar is deprecated, and will error in future. Ensure you extract a single element from your array before performing this operation. (Deprecated NumPy 1.25.)\n","  'error': float(absolute_errors[best_idx])  # تحويل إلى float\n","<ipython-input-358-ccc3c060e742>:17: DeprecationWarning: Conversion of an array with ndim > 0 to a scalar is deprecated, and will error in future. Ensure you extract a single element from your array before performing this operation. (Deprecated NumPy 1.25.)\n","  'actual': float(y_true[worst_idx]),  # تحويل إلى float\n","<ipython-input-358-ccc3c060e742>:18: DeprecationWarning: Conversion of an array with ndim > 0 to a scalar is deprecated, and will error in future. Ensure you extract a single element from your array before performing this operation. (Deprecated NumPy 1.25.)\n","  'predicted': float(y_pred[worst_idx]),  # تحويل إلى float\n","<ipython-input-358-ccc3c060e742>:19: DeprecationWarning: Conversion of an array with ndim > 0 to a scalar is deprecated, and will error in future. Ensure you extract a single element from your array before performing this operation. (Deprecated NumPy 1.25.)\n","  'error': float(absolute_errors[worst_idx])  # تحويل إلى float\n"]}]},{"cell_type":"code","source":["plt.figure(figsize=(12, 6))\n","plt.plot(DT_y_true, label=\"Actual\")\n","plt.plot(DT_y_pred, label=\"Predicted\")\n","plt.title(\"Actual vs Predicted Time to Failure Line DT Algorithm\")\n","plt.xlabel(\"Index\")\n","plt.ylabel(\"Time to Failure (seconds)\")\n","plt.legend()\n","plt.grid(True)\n","plt.tight_layout()\n","plt.savefig('DT.png')\n","plt.show()"],"metadata":{"colab":{"base_uri":"https://localhost:8080/","height":0},"id":"Crl_pxc808S9","executionInfo":{"status":"ok","timestamp":1745056520107,"user_tz":-180,"elapsed":320,"user":{"displayName":"مالك المصنف","userId":"01645315346138749579"}},"outputId":"e1e802f2-63ce-498b-f6bb-7faf9be3bdd9"},"execution_count":380,"outputs":[{"output_type":"display_data","data":{"text/plain":["<Figure size 1200x600 with 1 Axes>"],"image/png":"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\n"},"metadata":{}}]},{"cell_type":"markdown","source":["# LSTM Model"],"metadata":{"id":"DTKMkESX22Oi"}},{"cell_type":"code","source":["def create_sequences(X, y, seq_length):\n","    Xs, ys = [], []\n","    for i in range(len(X) - seq_length):\n","        Xs.append(X[i:i+seq_length])\n","        ys.append(y[i+seq_length])\n","    return np.array(Xs), np.array(ys)"],"metadata":{"id":"ifF8KME6DiyO","executionInfo":{"status":"ok","timestamp":1745056520129,"user_tz":-180,"elapsed":21,"user":{"displayName":"مالك المصنف","userId":"01645315346138749579"}}},"execution_count":381,"outputs":[]},{"cell_type":"code","source":["seq_length = 11  # عدد الخطوات السابقة للتنبؤ\n","X_seq, y_seq = create_sequences(x_train_scaled, y_train_scaled, seq_length)\n","X_test_seq, y_test_seq = create_sequences(x_test_scaled, y_test_scaled, seq_length)"],"metadata":{"id":"HWi9by8wVQFL","executionInfo":{"status":"ok","timestamp":1745056520185,"user_tz":-180,"elapsed":54,"user":{"displayName":"مالك المصنف","userId":"01645315346138749579"}}},"execution_count":382,"outputs":[]},{"cell_type":"code","source":["LSTM_model = Sequential([\n","    LSTM(64, activation='tanh', input_shape=(seq_length, 3), return_sequences=False),\n","    Dense(32, activation='relu'),\n","    Dense(1)\n","])"],"metadata":{"colab":{"base_uri":"https://localhost:8080/"},"id":"o4H4prZLD4dV","executionInfo":{"status":"ok","timestamp":1745056520195,"user_tz":-180,"elapsed":13,"user":{"displayName":"مالك المصنف","userId":"01645315346138749579"}},"outputId":"ab7788ce-90ca-4414-db1b-90cc894545f5"},"execution_count":383,"outputs":[{"output_type":"stream","name":"stderr","text":["/usr/local/lib/python3.11/dist-packages/keras/src/layers/rnn/rnn.py:200: UserWarning: Do not pass an `input_shape`/`input_dim` argument to a layer. When using Sequential models, prefer using an `Input(shape)` object as the first layer in the model instead.\n","  super().__init__(**kwargs)\n"]}]},{"cell_type":"code","source":["early_stop = EarlyStopping(monitor='val_loss', patience=15, restore_best_weights=True)"],"metadata":{"id":"YHiGvmzEGZZd","executionInfo":{"status":"ok","timestamp":1745056520206,"user_tz":-180,"elapsed":11,"user":{"displayName":"مالك المصنف","userId":"01645315346138749579"}}},"execution_count":384,"outputs":[]},{"cell_type":"code","source":["LSTM_model.compile(optimizer='adam', loss=MeanSquaredError(), metrics=['mae'])"],"metadata":{"id":"kbdDIKhaEHfd","executionInfo":{"status":"ok","timestamp":1745056520219,"user_tz":-180,"elapsed":10,"user":{"displayName":"مالك المصنف","userId":"01645315346138749579"}}},"execution_count":385,"outputs":[]},{"cell_type":"code","source":["LSTM_model.summary()"],"metadata":{"colab":{"base_uri":"https://localhost:8080/","height":225},"id":"8nbrQunWERal","executionInfo":{"status":"ok","timestamp":1745056520287,"user_tz":-180,"elapsed":51,"user":{"displayName":"مالك المصنف","userId":"01645315346138749579"}},"outputId":"fd3fc259-a684-4a53-972c-8c781c5b7be3"},"execution_count":386,"outputs":[{"output_type":"display_data","data":{"text/plain":["\u001b[1mModel: \"sequential_13\"\u001b[0m\n"],"text/html":["<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"font-weight: bold\">Model: \"sequential_13\"</span>\n","</pre>\n"]},"metadata":{}},{"output_type":"display_data","data":{"text/plain":["┏━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━┳━━━━━━━━━━━━━━━━━━━━━━━━┳━━━━━━━━━━━━━━━┓\n","┃\u001b[1m \u001b[0m\u001b[1mLayer (type)                   \u001b[0m\u001b[1m \u001b[0m┃\u001b[1m \u001b[0m\u001b[1mOutput Shape          \u001b[0m\u001b[1m \u001b[0m┃\u001b[1m \u001b[0m\u001b[1m      Param #\u001b[0m\u001b[1m \u001b[0m┃\n","┡━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╇━━━━━━━━━━━━━━━━━━━━━━━━╇━━━━━━━━━━━━━━━┩\n","│ lstm_18 (\u001b[38;5;33mLSTM\u001b[0m)                  │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m64\u001b[0m)             │        \u001b[38;5;34m17,408\u001b[0m │\n","├─────────────────────────────────┼────────────────────────┼───────────────┤\n","│ dense_21 (\u001b[38;5;33mDense\u001b[0m)                │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m32\u001b[0m)             │         \u001b[38;5;34m2,080\u001b[0m │\n","├─────────────────────────────────┼────────────────────────┼───────────────┤\n","│ dense_22 (\u001b[38;5;33mDense\u001b[0m)                │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m1\u001b[0m)              │            \u001b[38;5;34m33\u001b[0m │\n","└─────────────────────────────────┴────────────────────────┴───────────────┘\n"],"text/html":["<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">┏━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━┳━━━━━━━━━━━━━━━━━━━━━━━━┳━━━━━━━━━━━━━━━┓\n","┃<span style=\"font-weight: bold\"> Layer (type)                    </span>┃<span style=\"font-weight: bold\"> Output Shape           </span>┃<span style=\"font-weight: bold\">       Param # </span>┃\n","┡━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╇━━━━━━━━━━━━━━━━━━━━━━━━╇━━━━━━━━━━━━━━━┩\n","│ lstm_18 (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">LSTM</span>)                  │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">64</span>)             │        <span style=\"color: #00af00; text-decoration-color: #00af00\">17,408</span> │\n","├─────────────────────────────────┼────────────────────────┼───────────────┤\n","│ dense_21 (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Dense</span>)                │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">32</span>)             │         <span style=\"color: #00af00; text-decoration-color: #00af00\">2,080</span> │\n","├─────────────────────────────────┼────────────────────────┼───────────────┤\n","│ dense_22 (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Dense</span>)                │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">1</span>)              │            <span style=\"color: #00af00; text-decoration-color: #00af00\">33</span> │\n","└─────────────────────────────────┴────────────────────────┴───────────────┘\n","</pre>\n"]},"metadata":{}},{"output_type":"display_data","data":{"text/plain":["\u001b[1m Total params: \u001b[0m\u001b[38;5;34m19,521\u001b[0m (76.25 KB)\n"],"text/html":["<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"font-weight: bold\"> Total params: </span><span style=\"color: #00af00; text-decoration-color: #00af00\">19,521</span> (76.25 KB)\n","</pre>\n"]},"metadata":{}},{"output_type":"display_data","data":{"text/plain":["\u001b[1m Trainable params: \u001b[0m\u001b[38;5;34m19,521\u001b[0m (76.25 KB)\n"],"text/html":["<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"font-weight: bold\"> Trainable params: </span><span style=\"color: #00af00; text-decoration-color: #00af00\">19,521</span> (76.25 KB)\n","</pre>\n"]},"metadata":{}},{"output_type":"display_data","data":{"text/plain":["\u001b[1m Non-trainable params: \u001b[0m\u001b[38;5;34m0\u001b[0m (0.00 B)\n"],"text/html":["<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"font-weight: bold\"> Non-trainable params: </span><span style=\"color: #00af00; text-decoration-color: #00af00\">0</span> (0.00 B)\n","</pre>\n"]},"metadata":{}}]},{"cell_type":"code","source":["checkpoint = ModelCheckpoint(\n","    filepath='best_model.h5',  # اسم ملف الحفظ\n","    monitor='val_loss',\n","    save_best_only=True,\n","    mode='min',\n","    verbose=1\n",")"],"metadata":{"id":"W46bf8IlN7d3","executionInfo":{"status":"ok","timestamp":1745056520332,"user_tz":-180,"elapsed":42,"user":{"displayName":"مالك المصنف","userId":"01645315346138749579"}}},"execution_count":387,"outputs":[]},{"cell_type":"code","source":["history = LSTM_model.fit(\n","    X_seq, y_seq,\n","    epochs=200,\n","    batch_size=32,\n","    validation_split=0.2,\n","    callbacks=[early_stop, checkpoint]\n",")"],"metadata":{"colab":{"base_uri":"https://localhost:8080/"},"id":"HnYfV6-TEUiT","executionInfo":{"status":"ok","timestamp":1745056528266,"user_tz":-180,"elapsed":7930,"user":{"displayName":"مالك المصنف","userId":"01645315346138749579"}},"outputId":"fe429a03-7e3f-476b-abcf-4f4320ee2ad2"},"execution_count":388,"outputs":[{"output_type":"stream","name":"stdout","text":["Epoch 1/200\n","\u001b[1m12/18\u001b[0m \u001b[32m━━━━━━━━━━━━━\u001b[0m\u001b[37m━━━━━━━\u001b[0m \u001b[1m0s\u001b[0m 5ms/step - loss: 1.2166 - mae: 0.8504\n","Epoch 1: val_loss improved from inf to 0.76469, saving model to best_model.h5\n"]},{"output_type":"stream","name":"stderr","text":["WARNING:absl:You are saving your model as an HDF5 file via `model.save()` or `keras.saving.save_model(model)`. This file format is considered legacy. We recommend using instead the native Keras format, e.g. `model.save('my_model.keras')` or `keras.saving.save_model(model, 'my_model.keras')`. \n"]},{"output_type":"stream","name":"stdout","text":["\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r\u001b[1m18/18\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m2s\u001b[0m 25ms/step - loss: 1.1562 - mae: 0.8296 - val_loss: 0.7647 - val_mae: 0.7146\n","Epoch 2/200\n","\u001b[1m12/18\u001b[0m \u001b[32m━━━━━━━━━━━━━\u001b[0m\u001b[37m━━━━━━━\u001b[0m \u001b[1m0s\u001b[0m 5ms/step - loss: 0.8869 - mae: 0.7517 \n","Epoch 2: val_loss did not improve from 0.76469\n","\u001b[1m18/18\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 10ms/step - loss: 0.9435 - mae: 0.7652 - val_loss: 0.7745 - val_mae: 0.7194\n","Epoch 3/200\n","\u001b[1m13/18\u001b[0m \u001b[32m━━━━━━━━━━━━━━\u001b[0m\u001b[37m━━━━━━\u001b[0m \u001b[1m0s\u001b[0m 5ms/step - loss: 1.0646 - mae: 0.7942 \n","Epoch 3: val_loss did not improve from 0.76469\n","\u001b[1m18/18\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 8ms/step - loss: 1.0589 - mae: 0.7936 - val_loss: 0.7756 - val_mae: 0.7228\n","Epoch 4/200\n","\u001b[1m12/18\u001b[0m \u001b[32m━━━━━━━━━━━━━\u001b[0m\u001b[37m━━━━━━━\u001b[0m \u001b[1m0s\u001b[0m 5ms/step - loss: 1.1862 - mae: 0.8436  \n","Epoch 4: val_loss did not improve from 0.76469\n","\u001b[1m18/18\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 8ms/step - loss: 1.1346 - mae: 0.8240 - val_loss: 0.7710 - val_mae: 0.7170\n","Epoch 5/200\n","\u001b[1m12/18\u001b[0m \u001b[32m━━━━━━━━━━━━━\u001b[0m\u001b[37m━━━━━━━\u001b[0m \u001b[1m0s\u001b[0m 5ms/step - loss: 0.9877 - mae: 0.7710  \n","Epoch 5: val_loss did not improve from 0.76469\n","\u001b[1m18/18\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 9ms/step - loss: 0.9922 - mae: 0.7703 - val_loss: 0.7773 - val_mae: 0.7232\n","Epoch 6/200\n","\u001b[1m12/18\u001b[0m \u001b[32m━━━━━━━━━━━━━\u001b[0m\u001b[37m━━━━━━━\u001b[0m \u001b[1m0s\u001b[0m 5ms/step - loss: 0.7756 - mae: 0.6904  \n","Epoch 6: val_loss did not improve from 0.76469\n","\u001b[1m18/18\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 8ms/step - loss: 0.8479 - mae: 0.7146 - val_loss: 0.7794 - val_mae: 0.7371\n","Epoch 7/200\n","\u001b[1m12/18\u001b[0m \u001b[32m━━━━━━━━━━━━━\u001b[0m\u001b[37m━━━━━━━\u001b[0m \u001b[1m0s\u001b[0m 5ms/step - loss: 0.8278 - mae: 0.7265  \n","Epoch 7: val_loss did not improve from 0.76469\n","\u001b[1m18/18\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 10ms/step - loss: 0.8782 - mae: 0.7397 - val_loss: 0.7796 - val_mae: 0.7300\n","Epoch 8/200\n","\u001b[1m16/18\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m━━━\u001b[0m \u001b[1m0s\u001b[0m 7ms/step - loss: 0.8344 - mae: 0.7274\n","Epoch 8: val_loss improved from 0.76469 to 0.75513, saving model to best_model.h5\n"]},{"output_type":"stream","name":"stderr","text":["WARNING:absl:You are saving your model as an HDF5 file via `model.save()` or `keras.saving.save_model(model)`. This file format is considered legacy. We recommend using instead the native Keras format, e.g. `model.save('my_model.keras')` or `keras.saving.save_model(model, 'my_model.keras')`. \n"]},{"output_type":"stream","name":"stdout","text":["\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r\u001b[1m18/18\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 16ms/step - loss: 0.8500 - mae: 0.7302 - val_loss: 0.7551 - val_mae: 0.7164\n","Epoch 9/200\n","\u001b[1m17/18\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m━━\u001b[0m \u001b[1m0s\u001b[0m 6ms/step - loss: 0.9186 - mae: 0.7241\n","Epoch 9: val_loss did not improve from 0.75513\n","\u001b[1m18/18\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 13ms/step - loss: 0.9170 - mae: 0.7255 - val_loss: 0.7881 - val_mae: 0.7291\n","Epoch 10/200\n","\u001b[1m17/18\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m━━\u001b[0m \u001b[1m0s\u001b[0m 7ms/step - loss: 0.8959 - mae: 0.7479\n","Epoch 10: val_loss did not improve from 0.75513\n","\u001b[1m18/18\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 13ms/step - loss: 0.8951 - mae: 0.7457 - val_loss: 0.7716 - val_mae: 0.7109\n","Epoch 11/200\n","\u001b[1m18/18\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 6ms/step - loss: 0.8792 - mae: 0.7360\n","Epoch 11: val_loss improved from 0.75513 to 0.73350, saving model to best_model.h5\n"]},{"output_type":"stream","name":"stderr","text":["WARNING:absl:You are saving your model as an HDF5 file via `model.save()` or `keras.saving.save_model(model)`. This file format is considered legacy. We recommend using instead the native Keras format, e.g. `model.save('my_model.keras')` or `keras.saving.save_model(model, 'my_model.keras')`. \n"]},{"output_type":"stream","name":"stdout","text":["\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r\u001b[1m18/18\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 15ms/step - loss: 0.8790 - mae: 0.7355 - val_loss: 0.7335 - val_mae: 0.7035\n","Epoch 12/200\n","\u001b[1m17/18\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m━━\u001b[0m \u001b[1m0s\u001b[0m 7ms/step - loss: 0.8522 - mae: 0.6962\n","Epoch 12: val_loss did not improve from 0.73350\n","\u001b[1m18/18\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 14ms/step - loss: 0.8523 - mae: 0.6978 - val_loss: 0.8133 - val_mae: 0.7279\n","Epoch 13/200\n","\u001b[1m17/18\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m━━\u001b[0m \u001b[1m0s\u001b[0m 7ms/step - loss: 0.8757 - mae: 0.7218\n","Epoch 13: val_loss did not improve from 0.73350\n","\u001b[1m18/18\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 13ms/step - loss: 0.8710 - mae: 0.7197 - val_loss: 0.7782 - val_mae: 0.7255\n","Epoch 14/200\n","\u001b[1m17/18\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m━━\u001b[0m \u001b[1m0s\u001b[0m 7ms/step - loss: 0.9385 - mae: 0.7380\n","Epoch 14: val_loss did not improve from 0.73350\n","\u001b[1m18/18\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 13ms/step - loss: 0.9241 - mae: 0.7332 - val_loss: 0.7739 - val_mae: 0.7187\n","Epoch 15/200\n","\u001b[1m10/18\u001b[0m \u001b[32m━━━━━━━━━━━\u001b[0m\u001b[37m━━━━━━━━━\u001b[0m \u001b[1m0s\u001b[0m 6ms/step - loss: 0.6065 - mae: 0.6048 \n","Epoch 15: val_loss did not improve from 0.73350\n","\u001b[1m18/18\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 13ms/step - loss: 0.6790 - mae: 0.6291 - val_loss: 0.8829 - val_mae: 0.7690\n","Epoch 16/200\n","\u001b[1m17/18\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m━━\u001b[0m \u001b[1m0s\u001b[0m 7ms/step - loss: 0.8315 - mae: 0.6795\n","Epoch 16: val_loss did not improve from 0.73350\n","\u001b[1m18/18\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 14ms/step - loss: 0.8247 - mae: 0.6794 - val_loss: 0.8193 - val_mae: 0.7488\n","Epoch 17/200\n","\u001b[1m16/18\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m━━━\u001b[0m \u001b[1m0s\u001b[0m 7ms/step - loss: 0.6538 - mae: 0.6232\n","Epoch 17: val_loss did not improve from 0.73350\n","\u001b[1m18/18\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 14ms/step - loss: 0.6694 - mae: 0.6291 - val_loss: 0.9295 - val_mae: 0.7891\n","Epoch 18/200\n","\u001b[1m16/18\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m━━━\u001b[0m \u001b[1m0s\u001b[0m 7ms/step - loss: 0.7156 - mae: 0.6549\n","Epoch 18: val_loss did not improve from 0.73350\n","\u001b[1m18/18\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 10ms/step - loss: 0.7213 - mae: 0.6565 - val_loss: 0.8695 - val_mae: 0.7700\n","Epoch 19/200\n","\u001b[1m13/18\u001b[0m \u001b[32m━━━━━━━━━━━━━━\u001b[0m\u001b[37m━━━━━━\u001b[0m \u001b[1m0s\u001b[0m 4ms/step - loss: 0.7407 - mae: 0.6491 \n","Epoch 19: val_loss did not improve from 0.73350\n","\u001b[1m18/18\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 10ms/step - loss: 0.7499 - mae: 0.6512 - val_loss: 0.9880 - val_mae: 0.8243\n","Epoch 20/200\n","\u001b[1m12/18\u001b[0m \u001b[32m━━━━━━━━━━━━━\u001b[0m\u001b[37m━━━━━━━\u001b[0m \u001b[1m0s\u001b[0m 5ms/step - loss: 0.6738 - mae: 0.6296 \n","Epoch 20: val_loss did not improve from 0.73350\n","\u001b[1m18/18\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 8ms/step - loss: 0.6825 - mae: 0.6329 - val_loss: 0.9826 - val_mae: 0.8242\n","Epoch 21/200\n","\u001b[1m12/18\u001b[0m \u001b[32m━━━━━━━━━━━━━\u001b[0m\u001b[37m━━━━━━━\u001b[0m \u001b[1m0s\u001b[0m 5ms/step - loss: 0.7683 - mae: 0.6618 \n","Epoch 21: val_loss did not improve from 0.73350\n","\u001b[1m18/18\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 10ms/step - loss: 0.7403 - mae: 0.6517 - val_loss: 1.0555 - val_mae: 0.8459\n","Epoch 22/200\n","\u001b[1m12/18\u001b[0m \u001b[32m━━━━━━━━━━━━━\u001b[0m\u001b[37m━━━━━━━\u001b[0m \u001b[1m0s\u001b[0m 5ms/step - loss: 0.5397 - mae: 0.5537  \n","Epoch 22: val_loss did not improve from 0.73350\n","\u001b[1m18/18\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 10ms/step - loss: 0.5657 - mae: 0.5715 - val_loss: 1.0683 - val_mae: 0.8612\n","Epoch 23/200\n","\u001b[1m13/18\u001b[0m \u001b[32m━━━━━━━━━━━━━━\u001b[0m\u001b[37m━━━━━━\u001b[0m \u001b[1m0s\u001b[0m 4ms/step - loss: 0.6193 - mae: 0.6024  \n","Epoch 23: val_loss did not improve from 0.73350\n","\u001b[1m18/18\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 10ms/step - loss: 0.6234 - mae: 0.6011 - val_loss: 1.2351 - val_mae: 0.9103\n","Epoch 24/200\n","\u001b[1m12/18\u001b[0m \u001b[32m━━━━━━━━━━━━━\u001b[0m\u001b[37m━━━━━━━\u001b[0m \u001b[1m0s\u001b[0m 5ms/step - loss: 0.5837 - mae: 0.5953 \n","Epoch 24: val_loss did not improve from 0.73350\n","\u001b[1m18/18\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 8ms/step - loss: 0.6002 - mae: 0.5980 - val_loss: 1.0949 - val_mae: 0.8749\n","Epoch 25/200\n","\u001b[1m13/18\u001b[0m \u001b[32m━━━━━━━━━━━━━━\u001b[0m\u001b[37m━━━━━━\u001b[0m \u001b[1m0s\u001b[0m 5ms/step - loss: 0.5646 - mae: 0.5708 \n","Epoch 25: val_loss did not improve from 0.73350\n","\u001b[1m18/18\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 8ms/step - loss: 0.5844 - mae: 0.5793 - val_loss: 1.1950 - val_mae: 0.8945\n","Epoch 26/200\n","\u001b[1m12/18\u001b[0m \u001b[32m━━━━━━━━━━━━━\u001b[0m\u001b[37m━━━━━━━\u001b[0m \u001b[1m0s\u001b[0m 5ms/step - loss: 0.5964 - mae: 0.5835  \n","Epoch 26: val_loss did not improve from 0.73350\n","\u001b[1m18/18\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 10ms/step - loss: 0.5920 - mae: 0.5837 - val_loss: 1.0376 - val_mae: 0.8423\n"]}]},{"cell_type":"code","source":["best_model = load_model('best_model.h5')"],"metadata":{"colab":{"base_uri":"https://localhost:8080/"},"id":"NnkPcXrqOKoK","executionInfo":{"status":"ok","timestamp":1745056528284,"user_tz":-180,"elapsed":11,"user":{"displayName":"مالك المصنف","userId":"01645315346138749579"}},"outputId":"839a443b-7481-4c8c-8df0-8a8d1c7484a4"},"execution_count":389,"outputs":[{"output_type":"stream","name":"stderr","text":["WARNING:absl:Compiled the loaded model, but the compiled metrics have yet to be built. `model.compile_metrics` will be empty until you train or evaluate the model.\n"]}]},{"cell_type":"code","source":["y_pred_scaled = best_model.predict(X_test_seq)\n","y_pred = target_scaler.inverse_transform(y_pred_scaled)\n","y_true = target_scaler.inverse_transform(y_test_seq.reshape(-1, 1))"],"metadata":{"colab":{"base_uri":"https://localhost:8080/"},"id":"lPc4oZv3H-Kn","executionInfo":{"status":"ok","timestamp":1745056528472,"user_tz":-180,"elapsed":186,"user":{"displayName":"مالك المصنف","userId":"01645315346138749579"}},"outputId":"bd98bf04-f4f7-49ee-9231-749afe3ad610"},"execution_count":390,"outputs":[{"output_type":"stream","name":"stdout","text":["\u001b[1m6/6\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 24ms/step\n"]}]},{"cell_type":"code","source":["LSTM_mae = mean_absolute_error(y_true, y_pred)\n","LSTM_rmse = np.sqrt(mean_squared_error(y_true, y_pred))\n","LSTM_r2 = r2_score(y_true, y_pred)"],"metadata":{"id":"3WQlStLyJjkX","executionInfo":{"status":"ok","timestamp":1745056528491,"user_tz":-180,"elapsed":12,"user":{"displayName":"مالك المصنف","userId":"01645315346138749579"}}},"execution_count":391,"outputs":[]},{"cell_type":"code","source":["print(f\"MAE: {LSTM_mae:.2f}, RMSE: {LSTM_rmse:.2f}, R²: {LSTM_r2:.4f}\")"],"metadata":{"colab":{"base_uri":"https://localhost:8080/"},"id":"0toaYfTDK0zT","executionInfo":{"status":"ok","timestamp":1745056528511,"user_tz":-180,"elapsed":15,"user":{"displayName":"مالك المصنف","userId":"01645315346138749579"}},"outputId":"0859619b-89c2-4164-caf5-d908bde61a39"},"execution_count":392,"outputs":[{"output_type":"stream","name":"stdout","text":["MAE: 2315.04, RMSE: 3062.93, R²: 0.0029\n"]}]},{"cell_type":"markdown","source":["results = pd.DataFrame({\n","    'Model': ['Linear Regression', 'Decision Tree', 'Random Forest', 'LSTM'],\n","    'MAE': [mae_lr, mae_dt, mae_rf, mae_lstm],\n","    'RMSE': [rmse_lr, rmse_dt, rmse_rf, rmse_lstm],\n","    'R²': [r2_lr, r2_dt, r2_rf, r2_lstm]\n","})"],"metadata":{"id":"j6Q8KHKP6DsC"}},{"cell_type":"code","source":["lstm_results = get_best_worst_predictions(\n","    \"LSTM\",\n","    y_true,\n","    y_pred,\n","    clean_df\n",")"],"metadata":{"colab":{"base_uri":"https://localhost:8080/"},"id":"8mWjNrX7dS2w","executionInfo":{"status":"ok","timestamp":1745056528531,"user_tz":-180,"elapsed":17,"user":{"displayName":"مالك المصنف","userId":"01645315346138749579"}},"outputId":"c9f3a946-c112-4078-86ef-a2f98e7cd998"},"execution_count":393,"outputs":[{"output_type":"stream","name":"stderr","text":["<ipython-input-358-ccc3c060e742>:11: DeprecationWarning: Conversion of an array with ndim > 0 to a scalar is deprecated, and will error in future. Ensure you extract a single element from your array before performing this operation. (Deprecated NumPy 1.25.)\n","  'actual': float(y_true[best_idx]),  # تحويل إلى float\n","<ipython-input-358-ccc3c060e742>:12: DeprecationWarning: Conversion of an array with ndim > 0 to a scalar is deprecated, and will error in future. Ensure you extract a single element from your array before performing this operation. (Deprecated NumPy 1.25.)\n","  'predicted': float(y_pred[best_idx]),  # تحويل إلى float\n","<ipython-input-358-ccc3c060e742>:13: DeprecationWarning: Conversion of an array with ndim > 0 to a scalar is deprecated, and will error in future. Ensure you extract a single element from your array before performing this operation. (Deprecated NumPy 1.25.)\n","  'error': float(absolute_errors[best_idx])  # تحويل إلى float\n","<ipython-input-358-ccc3c060e742>:17: DeprecationWarning: Conversion of an array with ndim > 0 to a scalar is deprecated, and will error in future. Ensure you extract a single element from your array before performing this operation. (Deprecated NumPy 1.25.)\n","  'actual': float(y_true[worst_idx]),  # تحويل إلى float\n","<ipython-input-358-ccc3c060e742>:18: DeprecationWarning: Conversion of an array with ndim > 0 to a scalar is deprecated, and will error in future. Ensure you extract a single element from your array before performing this operation. (Deprecated NumPy 1.25.)\n","  'predicted': float(y_pred[worst_idx]),  # تحويل إلى float\n","<ipython-input-358-ccc3c060e742>:19: DeprecationWarning: Conversion of an array with ndim > 0 to a scalar is deprecated, and will error in future. Ensure you extract a single element from your array before performing this operation. (Deprecated NumPy 1.25.)\n","  'error': float(absolute_errors[worst_idx])  # تحويل إلى float\n"]}]},{"cell_type":"code","source":["plt.figure(figsize=(12, 6))\n","plt.plot(y_true, label=\"Actual\")\n","plt.plot(y_pred, label=\"Predicted\")\n","plt.title(\"Actual vs Predicted Time to Failure LSTM Algorithm\")\n","plt.xlabel(\"Index\")\n","plt.ylabel(\"Time to Failure (seconds)\")\n","plt.legend()\n","plt.grid(True)\n","plt.tight_layout()\n","plt.savefig('LSTM.png')\n","plt.show()"],"metadata":{"colab":{"base_uri":"https://localhost:8080/","height":349},"id":"61l-E7KaJ75c","executionInfo":{"status":"ok","timestamp":1745056529354,"user_tz":-180,"elapsed":821,"user":{"displayName":"مالك المصنف","userId":"01645315346138749579"}},"outputId":"c326f4a1-a6c9-4968-a79a-1165954e7376"},"execution_count":394,"outputs":[{"output_type":"display_data","data":{"text/plain":["<Figure size 1200x600 with 1 Axes>"],"image/png":"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\n"},"metadata":{}}]},{"cell_type":"markdown","source":["# All Models"],"metadata":{"id":"0BSSuZHj7BPz"}},{"cell_type":"code","source":["results = pd.DataFrame({\n","    'Model': ['Linear Regression', 'Decision Tree', 'Random Forest', 'LSTM'],\n","    'MAE': [LR_mae, DT_mae, RF_mae, LSTM_mae],\n","    'RMSE': [LR_rmse, DT_rmse, RF_rmse, LSTM_rmse],\n","    'R²': [LR_r2, DT_r2, RF_r2, LSTM_r2]\n","})"],"metadata":{"id":"naUTA-ZY6-FB","executionInfo":{"status":"ok","timestamp":1745056529380,"user_tz":-180,"elapsed":20,"user":{"displayName":"مالك المصنف","userId":"01645315346138749579"}}},"execution_count":395,"outputs":[]},{"cell_type":"code","source":["results.to_csv('Models_Metrices.csv')"],"metadata":{"id":"iAkx8nztSqGn","executionInfo":{"status":"ok","timestamp":1745056529416,"user_tz":-180,"elapsed":27,"user":{"displayName":"مالك المصنف","userId":"01645315346138749579"}}},"execution_count":396,"outputs":[]},{"cell_type":"code","source":["import pandas as pd\n","import os\n","\n","# إنشاء المجلد إذا لم يكن موجوداً\n","output_dir = '/content/drive/MyDrive/Analaysis for Time Fauiler/'\n","os.makedirs(output_dir, exist_ok=True)\n","\n","# إنشاء DataFrame\n","results = [rf_results, lstm_results, lr_results, dt_results]\n","\n","results_df = pd.DataFrame([\n","    {\n","        'النموذج': res['model'],\n","        'التنبؤ الأفضل': f\"{res['best']['predicted']:.2f}\",\n","        'الخطأ في الأفضل': f\"{res['best']['error']:.2f}\",\n","        'التنبؤ الأسوأ': f\"{res['worst']['predicted']:.2f}\",\n","        'الخطأ في الأسوأ': f\"{res['worst']['error']:.2f}\",\n","        'وقت الأفضل': res['best']['timestamp'],\n","        'وقت الأسوأ': res['worst']['timestamp']\n","    }\n","    for res in results\n","])\n","\n","# حفظ الملف مع إضافة التاريخ للتمييز\n","from datetime import datetime\n","filename = f\"model_comparison_{datetime.now().strftime('%Y%m%d_%H%M')}.csv\"\n","results_df.to_csv(os.path.join(output_dir, filename), index=False, encoding='utf-8-sig')\n","\n","print(\"تم حفظ الملف بنجاح في:\", os.path.join(output_dir, filename))\n","print(\"\\nعرض عينة من البيانات:\")\n","print(results_df.head())"],"metadata":{"colab":{"base_uri":"https://localhost:8080/"},"id":"d4fSHWUjdeFA","executionInfo":{"status":"ok","timestamp":1745056529434,"user_tz":-180,"elapsed":33,"user":{"displayName":"مالك المصنف","userId":"01645315346138749579"}},"outputId":"624c2c15-1620-4666-fd6a-fa45213f5872"},"execution_count":397,"outputs":[{"output_type":"stream","name":"stdout","text":["تم حفظ الملف بنجاح في: /content/drive/MyDrive/Analaysis for Time Fauiler/model_comparison_20250419_0955.csv\n","\n","عرض عينة من البيانات:\n","                   النموذج التنبؤ الأفضل الخطأ في الأفضل التنبؤ الأسوأ  \\\n","0            Random Forest         -0.00            0.00       3267.32   \n","1                     LSTM       3042.28           42.28       3184.45   \n","2        Linear Regression          6.43            6.43       3525.86   \n","3  Decision Tree Regressor         -0.00            0.00       2344.19   \n","\n","  الخطأ في الأسوأ          وقت الأفضل          وقت الأسوأ  \n","0        10532.68 2025-04-01 08:50:00 2025-04-01 21:20:00  \n","1        10615.55 2025-04-01 22:20:00 2025-04-01 19:10:00  \n","2        10274.14 2025-04-01 19:40:00 2025-04-01 21:20:00  \n","3        11455.81 2025-04-01 08:50:00 2025-04-01 21:20:00  \n"]}]}]}