{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Mockup Data"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "To test the `FeatureExtractor` class from the `time_domain_features.py` script with a simple mockup dataset of 5 to 10 data points directly in a Python notebook."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Importing Modules\n",
    "\n",
    "Use relative imports or modify the path to include the directory where the module is stored. In this example, we’ll simulate the relative import setup."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [],
   "source": [
    "import numpy as np\n",
    "import pandas as pd\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Create Mockup Data\n",
    "\n",
    "Create a small dataset with 5 to 10 data points. Simulate importing the `FeatureExtractor` from its relative path in the notebooks directory."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "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>SampleData</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>0.496714</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>-0.138264</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>0.647689</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>1.523030</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>-0.234153</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>-0.234137</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>1.579213</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>0.767435</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>-0.469474</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>0.542560</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "   SampleData\n",
       "0    0.496714\n",
       "1   -0.138264\n",
       "2    0.647689\n",
       "3    1.523030\n",
       "4   -0.234153\n",
       "5   -0.234137\n",
       "6    1.579213\n",
       "7    0.767435\n",
       "8   -0.469474\n",
       "9    0.542560"
      ]
     },
     "execution_count": 11,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Create mockup data\n",
    "np.random.seed(42)  # For reproducibility\n",
    "mock_data = np.random.randn(10)  # Generate 10 random data points\n",
    "\n",
    "# Convert to DataFrame (simulating processed data input)\n",
    "mock_df = pd.DataFrame(mock_data, columns=['SampleData'])\n",
    "mock_df"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Visualize Data Points"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 31,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 800x600 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "import matplotlib.pyplot as plt\n",
    "\n",
    "# Plotting the data points\n",
    "plt.figure(figsize=(8, 6))\n",
    "plt.plot(mock_df.index, mock_df['SampleData'], marker='o', color='blue', label='Data Points')\n",
    "plt.title('Scatter Plot of Data Points')\n",
    "plt.xlabel('Time')\n",
    "plt.ylabel('SampleData')\n",
    "plt.legend()\n",
    "plt.grid(True)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Print Time-domain Features (Single Mockup Data)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "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>Mean</th>\n",
       "      <th>Max</th>\n",
       "      <th>Peak (Pm)</th>\n",
       "      <th>Peak-to-Peak (Pk)</th>\n",
       "      <th>RMS</th>\n",
       "      <th>Variance</th>\n",
       "      <th>Standard Deviation</th>\n",
       "      <th>Power</th>\n",
       "      <th>Crest Factor</th>\n",
       "      <th>Form Factor</th>\n",
       "      <th>Pulse Indicator</th>\n",
       "      <th>Margin</th>\n",
       "      <th>Kurtosis</th>\n",
       "      <th>Skewness</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>0.448061</td>\n",
       "      <td>1.579213</td>\n",
       "      <td>1.579213</td>\n",
       "      <td>2.048687</td>\n",
       "      <td>0.819284</td>\n",
       "      <td>0.470467</td>\n",
       "      <td>0.723008</td>\n",
       "      <td>0.671226</td>\n",
       "      <td>1.927553</td>\n",
       "      <td>1.828509</td>\n",
       "      <td>3.524548</td>\n",
       "      <td>2.067638</td>\n",
       "      <td>1.917716</td>\n",
       "      <td>0.412307</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "       Mean       Max  Peak (Pm)  Peak-to-Peak (Pk)       RMS  Variance  \\\n",
       "0  0.448061  1.579213   1.579213           2.048687  0.819284  0.470467   \n",
       "\n",
       "   Standard Deviation     Power  Crest Factor  Form Factor  Pulse Indicator  \\\n",
       "0            0.723008  0.671226      1.927553     1.828509         3.524548   \n",
       "\n",
       "     Margin  Kurtosis  Skewness  \n",
       "0  2.067638  1.917716  0.412307  "
      ]
     },
     "execution_count": 13,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "import pandas as pd\n",
    "import sys\n",
    "import os\n",
    "# Assuming the src directory is one level up from the notebooks directory\n",
    "sys.path.append('../src/features')\n",
    "from time_domain_features import FeatureExtractor\n",
    "\n",
    "\n",
    "# Extract features\n",
    "extracted = FeatureExtractor(mock_df['SampleData'])\n",
    "\n",
    "# Format with pandas DataFramw\n",
    "features = pd.DataFrame(extracted.features, index=[0])\n",
    "features\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Print Time-domain Features (Multiple CSV Mockup Data)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### Importing modules"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [],
   "source": [
    "import pandas as pd\n",
    "import sys\n",
    "import os\n",
    "import re\n",
    "# Assuming the src directory is one level up from the notebooks directory\n",
    "sys.path.append('../src/features')\n",
    "from time_domain_features import ExtractTimeFeatures # use wrapper function instead of class for easy use\n",
    "\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### The function"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Define a function to extract numbers from a filename that later used as labels features\n",
    "def extract_numbers(filename):\n",
    "    '''\n",
    "    Extract numbers from a filename\n",
    "\n",
    "    Parameters\n",
    "    ----------\n",
    "    filename : str\n",
    "        The filename to extract numbers from\n",
    "\n",
    "    Returns\n",
    "    -------\n",
    "    list\n",
    "        A list of extracted numbers: [damage_number, test_number, sensor_number]\n",
    "    '''\n",
    "    # Find all occurrences of one or more digits in the filename\n",
    "    numbers = re.findall(r'\\d+', filename)\n",
    "    # Convert the list of number strings to integers\n",
    "    numbers = [int(num) for num in numbers]\n",
    "    # Convert to a tuple and return\n",
    "    return numbers\n",
    "\n",
    "def build_features(input_dir:str, sensor:int=None):\n",
    "    all_features = []\n",
    "    for nth_damage in os.listdir(input_dir):\n",
    "        nth_damage_path = os.path.join(input_dir, nth_damage)\n",
    "        print(f'Extracting features from damage folder {nth_damage_path}')\n",
    "        if os.path.isdir(nth_damage_path):\n",
    "            for nth_test in os.listdir(nth_damage_path):\n",
    "                nth_test_path = os.path.join(nth_damage_path, nth_test)\n",
    "                if sensor is not None:\n",
    "                    # Check if the file has the specified sensor suffix\n",
    "                    if not nth_test.endswith(f'_{sensor}.csv'):\n",
    "                        continue\n",
    "                features = ExtractTimeFeatures(nth_test_path)  # return the one csv file feature in dictionary {}\n",
    "                features['label'] = extract_numbers(nth_test)[0]  # add labels to the dictionary\n",
    "                features['filename'] = nth_test  # add filename to the dictionary\n",
    "                all_features.append(features)\n",
    "\n",
    "    # Create a DataFrame from the list of dictionaries\n",
    "    df = pd.DataFrame(all_features)\n",
    "    return df"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### Execute the automation"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Extracting features from damage folder ../../data/raw\\DAMAGE_1\n",
      "Extracting features from damage folder ../../data/raw\\DAMAGE_2\n",
      "Extracting features from damage folder ../../data/raw\\DAMAGE_3\n",
      "Extracting features from damage folder ../../data/raw\\DAMAGE_4\n",
      "Extracting features from damage folder ../../data/raw\\DAMAGE_5\n",
      "Extracting features from damage folder ../../data/raw\\README.md\n",
      "Extracting features from damage folder ../../data/raw\\DAMAGE_1\n",
      "Extracting features from damage folder ../../data/raw\\DAMAGE_2\n",
      "Extracting features from damage folder ../../data/raw\\DAMAGE_3\n",
      "Extracting features from damage folder ../../data/raw\\DAMAGE_4\n",
      "Extracting features from damage folder ../../data/raw\\DAMAGE_5\n",
      "Extracting features from damage folder ../../data/raw\\README.md\n"
     ]
    }
   ],
   "source": [
    "data_dir = \"../../data/raw\"\n",
    "# Extract features\n",
    "df1 = build_features(data_dir, sensor=1)\n",
    "df2 = build_features(data_dir, sensor=2)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "##### Sensor 1 Extracted Features"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "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",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "Empty DataFrame\n",
       "Columns: []\n",
       "Index: []"
      ]
     },
     "execution_count": 20,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df1.head(5)\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "##### Sensor 2 Extracted Features"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "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>Mean</th>\n",
       "      <th>Max</th>\n",
       "      <th>Peak (Pm)</th>\n",
       "      <th>Peak-to-Peak (Pk)</th>\n",
       "      <th>RMS</th>\n",
       "      <th>Variance</th>\n",
       "      <th>Standard Deviation</th>\n",
       "      <th>Power</th>\n",
       "      <th>Crest Factor</th>\n",
       "      <th>Form Factor</th>\n",
       "      <th>Pulse Indicator</th>\n",
       "      <th>Margin</th>\n",
       "      <th>Kurtosis</th>\n",
       "      <th>Skewness</th>\n",
       "      <th>label</th>\n",
       "      <th>filename</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>-0.161278</td>\n",
       "      <td>0.997084</td>\n",
       "      <td>2.045915</td>\n",
       "      <td>3.042999</td>\n",
       "      <td>0.908617</td>\n",
       "      <td>0.799573</td>\n",
       "      <td>0.942558</td>\n",
       "      <td>0.825584</td>\n",
       "      <td>2.251681</td>\n",
       "      <td>-5.633836</td>\n",
       "      <td>-12.685603</td>\n",
       "      <td>2.430726</td>\n",
       "      <td>2.530523</td>\n",
       "      <td>-0.741602</td>\n",
       "      <td>1</td>\n",
       "      <td>D1_TEST01_2.csv</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>0.365151</td>\n",
       "      <td>1.926222</td>\n",
       "      <td>1.926222</td>\n",
       "      <td>2.968247</td>\n",
       "      <td>1.020321</td>\n",
       "      <td>0.907720</td>\n",
       "      <td>1.004280</td>\n",
       "      <td>1.041056</td>\n",
       "      <td>1.887858</td>\n",
       "      <td>2.794246</td>\n",
       "      <td>5.275138</td>\n",
       "      <td>2.051083</td>\n",
       "      <td>1.736563</td>\n",
       "      <td>-0.106945</td>\n",
       "      <td>1</td>\n",
       "      <td>D1_TEST02_2.csv</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>-0.111123</td>\n",
       "      <td>0.831170</td>\n",
       "      <td>1.762405</td>\n",
       "      <td>2.593575</td>\n",
       "      <td>0.820539</td>\n",
       "      <td>0.660937</td>\n",
       "      <td>0.856956</td>\n",
       "      <td>0.673285</td>\n",
       "      <td>2.147862</td>\n",
       "      <td>-7.384044</td>\n",
       "      <td>-15.859908</td>\n",
       "      <td>2.480844</td>\n",
       "      <td>2.672660</td>\n",
       "      <td>-1.046490</td>\n",
       "      <td>1</td>\n",
       "      <td>D1_TEST03_2.csv</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>-0.115486</td>\n",
       "      <td>0.872064</td>\n",
       "      <td>1.401001</td>\n",
       "      <td>2.273065</td>\n",
       "      <td>0.760087</td>\n",
       "      <td>0.564395</td>\n",
       "      <td>0.791900</td>\n",
       "      <td>0.577732</td>\n",
       "      <td>1.843212</td>\n",
       "      <td>-6.581648</td>\n",
       "      <td>-12.131370</td>\n",
       "      <td>1.898864</td>\n",
       "      <td>1.815395</td>\n",
       "      <td>-0.234579</td>\n",
       "      <td>1</td>\n",
       "      <td>D1_TEST04_2.csv</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>0.482666</td>\n",
       "      <td>1.678422</td>\n",
       "      <td>1.678422</td>\n",
       "      <td>2.269074</td>\n",
       "      <td>0.901369</td>\n",
       "      <td>0.579500</td>\n",
       "      <td>0.802427</td>\n",
       "      <td>0.812466</td>\n",
       "      <td>1.862081</td>\n",
       "      <td>1.867479</td>\n",
       "      <td>3.477398</td>\n",
       "      <td>2.042134</td>\n",
       "      <td>1.703553</td>\n",
       "      <td>-0.045852</td>\n",
       "      <td>1</td>\n",
       "      <td>D1_TEST05_2.csv</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "       Mean       Max  Peak (Pm)  Peak-to-Peak (Pk)       RMS  Variance  \\\n",
       "0 -0.161278  0.997084   2.045915           3.042999  0.908617  0.799573   \n",
       "1  0.365151  1.926222   1.926222           2.968247  1.020321  0.907720   \n",
       "2 -0.111123  0.831170   1.762405           2.593575  0.820539  0.660937   \n",
       "3 -0.115486  0.872064   1.401001           2.273065  0.760087  0.564395   \n",
       "4  0.482666  1.678422   1.678422           2.269074  0.901369  0.579500   \n",
       "\n",
       "   Standard Deviation     Power  Crest Factor  Form Factor  Pulse Indicator  \\\n",
       "0            0.942558  0.825584      2.251681    -5.633836       -12.685603   \n",
       "1            1.004280  1.041056      1.887858     2.794246         5.275138   \n",
       "2            0.856956  0.673285      2.147862    -7.384044       -15.859908   \n",
       "3            0.791900  0.577732      1.843212    -6.581648       -12.131370   \n",
       "4            0.802427  0.812466      1.862081     1.867479         3.477398   \n",
       "\n",
       "     Margin  Kurtosis  Skewness  label         filename  \n",
       "0  2.430726  2.530523 -0.741602      1  D1_TEST01_2.csv  \n",
       "1  2.051083  1.736563 -0.106945      1  D1_TEST02_2.csv  \n",
       "2  2.480844  2.672660 -1.046490      1  D1_TEST03_2.csv  \n",
       "3  1.898864  1.815395 -0.234579      1  D1_TEST04_2.csv  \n",
       "4  2.042134  1.703553 -0.045852      1  D1_TEST05_2.csv  "
      ]
     },
     "execution_count": 8,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df2.head(5)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "##### Perform division"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "<class 'pandas.core.frame.DataFrame'>\n",
      "RangeIndex: 50 entries, 0 to 49\n",
      "Data columns (total 15 columns):\n",
      " #   Column                  Non-Null Count  Dtype  \n",
      "---  ------                  --------------  -----  \n",
      " 0   Mean_rel                50 non-null     float64\n",
      " 1   Max_rel                 50 non-null     float64\n",
      " 2   Peak (Pm)_rel           50 non-null     float64\n",
      " 3   Peak-to-Peak (Pk)_rel   50 non-null     float64\n",
      " 4   RMS_rel                 50 non-null     float64\n",
      " 5   Variance_rel            50 non-null     float64\n",
      " 6   Standard Deviation_rel  50 non-null     float64\n",
      " 7   Power_rel               50 non-null     float64\n",
      " 8   Crest Factor_rel        50 non-null     float64\n",
      " 9   Form Factor_rel         50 non-null     float64\n",
      " 10  Pulse Indicator_rel     50 non-null     float64\n",
      " 11  Margin_rel              50 non-null     float64\n",
      " 12  Kurtosis_rel            50 non-null     float64\n",
      " 13  Skewness_rel            50 non-null     float64\n",
      " 14  label                   50 non-null     int64  \n",
      "dtypes: float64(14), int64(1)\n",
      "memory usage: 6.0 KB\n"
     ]
    }
   ],
   "source": [
    "# Separate the label column\n",
    "label_column = df1.iloc[:, -2]\n",
    "\n",
    "# Perform the relative value by operate division on all the features\n",
    "df_relative = df2.iloc[:, :-2] / df1.iloc[:, :-2]\n",
    "\n",
    "# Add the label column back to the resulting DataFrame\n",
    "df_relative['label'] = label_column\n",
    "\n",
    "# Append a string to all column names\n",
    "suffix = '_rel'\n",
    "df_relative.columns = [col + suffix if col != 'label' else col for col in df_relative.columns]\n",
    "\n",
    "# Display the first 5 rows of the resulting DataFrame\n",
    "df_relative\n",
    "df_relative.info()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### Subsetting DataFrame to see the pair plots due to many features"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 808.875x750 with 12 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "import seaborn as sns\n",
    "import matplotlib.pyplot as plt\n",
    "\n",
    "# Assuming your DataFrame is named 'df'\n",
    "\n",
    "# Subsetting the DataFrame to include only the first 3 columns and the label\n",
    "subset_df = df_relative[['Mean_rel', 'Max_rel', 'Peak (Pm)_rel', 'label']]\n",
    "\n",
    "# Plotting the pairplot\n",
    "g = sns.pairplot(subset_df, hue='label', diag_kind='kde')\n",
    "\n",
    "# Adjusting the axis limits\n",
    "for ax in g.axes.flatten():\n",
    "    ax.set_xlim(-10, 10)  # Adjust these limits based on your data\n",
    "    ax.set_ylim(-10, 10)  # Adjust these limits based on your data\n",
    "\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "##### Standard Scaler"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "C:\\Users\\damar\\AppData\\Local\\Temp\\ipykernel_8200\\2762829106.py:6: SettingWithCopyWarning: \n",
      "A value is trying to be set on a copy of a slice from a DataFrame.\n",
      "Try using .loc[row_indexer,col_indexer] = value instead\n",
      "\n",
      "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
      "  subset_df[features] = scaler.fit_transform(subset_df[features])\n"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 808.875x750 with 12 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "from sklearn.preprocessing import StandardScaler\n",
    "\n",
    "# Assuming 'subset_df' is your DataFrame\n",
    "features = subset_df.columns[:-1]  # Select all columns except the label\n",
    "scaler = StandardScaler()\n",
    "subset_df[features] = scaler.fit_transform(subset_df[features])\n",
    "\n",
    "# Plotting the pairplot\n",
    "sns.pairplot(subset_df, hue='label', diag_kind='kde')\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "##### Min-Max Scaler"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "C:\\Users\\damar\\AppData\\Local\\Temp\\ipykernel_8200\\3995040898.py:6: SettingWithCopyWarning: \n",
      "A value is trying to be set on a copy of a slice from a DataFrame.\n",
      "Try using .loc[row_indexer,col_indexer] = value instead\n",
      "\n",
      "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
      "  subset_df[features] = scaler.fit_transform(subset_df[features])\n"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 808.875x750 with 12 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "from sklearn.preprocessing import MinMaxScaler\n",
    "\n",
    "# Assuming 'subset_df' is your DataFrame\n",
    "features = subset_df.columns[:-1]  # Select all columns except the label\n",
    "scaler = MinMaxScaler()\n",
    "subset_df[features] = scaler.fit_transform(subset_df[features])\n",
    "\n",
    "# Plotting the pairplot\n",
    "sns.pairplot(subset_df, hue='label', diag_kind='kde')\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## QUGS Data"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "To test the `FeatureExtractor` class from the `time_domain_features.py` script with real data from QUGS that has been converted purposed for the thesis."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Importing Modules\n",
    "\n",
    "Use relative imports or modify the path to include the directory where the module is stored. In this example, we’ll simulate the relative import setup."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [],
   "source": [
    "import numpy as np\n",
    "import pandas as pd"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Create Real DataFrame\n",
    "\n",
    "Create one DataFrame from one of the raw data file. Simulate importing the `FeatureExtractor` from its relative path in the notebooks directory."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "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</th>\n",
       "      <th>Real.4</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>0.000000</td>\n",
       "      <td>-0.002501</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>0.000977</td>\n",
       "      <td>-0.005371</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>0.001953</td>\n",
       "      <td>-0.003811</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>0.002930</td>\n",
       "      <td>0.005464</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>0.003906</td>\n",
       "      <td>-0.029412</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "       Time    Real.4\n",
       "0  0.000000 -0.002501\n",
       "1  0.000977 -0.005371\n",
       "2  0.001953 -0.003811\n",
       "3  0.002930  0.005464\n",
       "4  0.003906 -0.029412"
      ]
     },
     "execution_count": 2,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Convert to DataFrame (simulating processed data input)\n",
    "single_data_dir = \"D:/thesis/data/converted/raw/DAMAGE_2/D2_TEST05_01.csv\"\n",
    "df = pd.read_csv(single_data_dir)\n",
    "df.head()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "##### Absolute the data"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 34,
   "metadata": {},
   "outputs": [],
   "source": [
    "df[df.columns[-1]] = df[df.columns[-1]].abs()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Visualize Data Points"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 35,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 800x600 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "import matplotlib.pyplot as plt\n",
    "\n",
    "# Plotting the data points\n",
    "plt.figure(figsize=(8, 6))\n",
    "plt.plot(df['Time'], df[df.columns[-1]], marker='o', color='blue', label='Data Points')\n",
    "plt.title('Scatter Plot of Data Points')\n",
    "plt.xlabel('Time')\n",
    "plt.ylabel('Amp')\n",
    "plt.legend()\n",
    "plt.grid(True)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### Downsampled Plot with Alpha Blending\n",
    "\n",
    "Reduce the number of data points by sampling a subset of the data and use transparency to help visualize the density of overlapping points."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 27,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 800x600 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "import matplotlib.pyplot as plt\n",
    "\n",
    "# Downsample the data by taking every nth point\n",
    "n = 1  # Adjust this value as needed\n",
    "downsampled_df = df.iloc[::n, :]\n",
    "\n",
    "# Plotting the downsampled data points with alpha blending\n",
    "plt.figure(figsize=(8, 6))\n",
    "plt.plot(downsampled_df['Time'], downsampled_df[downsampled_df.columns[-1]], alpha=0.5, color='blue', label='Data Points')\n",
    "plt.title('Scatter Plot of Downsampled Data Points')\n",
    "plt.xlabel('Time')\n",
    "plt.ylabel('Amp')\n",
    "plt.legend()\n",
    "plt.grid(True)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### Line Plot with Rolling Avg"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "metadata": {},
   "outputs": [
    {
     "data": {
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x3HPP4cMPP8Ttt9+OIUOG4MCBA/jrr79Qp04di/f+4osvYtmyZbjtttswduxYJCYmoqCgAIcOHcLPP/+Ms2fPKiYliEgR5B1UgoiUxjRMla3HhQsXbA5TFRoaWml7puHHKvrmm2+ExMREITg4WKhRo4bQtm1b4aWXXhIuX75st3ym7WVlZTn0PsoPtyUI4vBlLVu2FHQ6nRAdHS2MHz9euH79usUy+fn5woMPPihERkYKABwa2uzFF18UAAizZs2yeL5p06YCAOH06dMWz1sbzszWfk3LLl261GIb1urBGntD1BkMBqFJkyZCkyZNhLKyMkEQBGHt2rVC9+7dheDgYCE8PFwYMWKEcPToUavbdGU4M0ePk6ysLOHBBx8UatSoIURERAhjx44Vtm7dKgAQFi9ebPP9Tpw40epnXp5paLADBw6Yn+vevbsAQHj88cdtrufIcduwYUNh+PDhVtdftmyZ0K5dOyEoKEho1KiRMGvWLGH+/PmVPsuysjLhjTfeEGJiYoTg4GChX79+wrFjx4TatWsLTz31lMU2b9y4IUydOlVo2rSpEBAQINSpU0fo1q2b8MEHHwilpaU23wuRL9IIgoO9IoiIiGT2v//9D3feeSe2bNliczKQ6ionJwc1a9bEv/71L7z22mtyF4dIlZjjS0REilRUVGTxt8FgwJw5cxAeHl5pmujqpuJ7B2Ceha1Pnz7eLQxRNcIcXyIiUqSJEyeiqKgIycnJKCkpwa+//opt27bh3//+t1dHBJHDkiVLsHDhQgwbNgxhYWHYsmULfvzxRwwaNMjnWrqJpMTAl4iIFKlfv3748MMPsXz5chQXF6Np06aYM2eOzU5r1Um7du3g7++P9957D3l5eeYOb//617/kLhqRqjHHl4iIiIh8AnN8iYiIiMgnMPAlIiIiIp/AHN8qGI1GXL58GTVq1PDqdKJERERE5BhBEHDjxg3ExsZCq7XdrsvAtwqXL19GfHy83MUgIiIioipcuHAB9evXt/k6A98q1KhRA4D4QYaHh3t8f3q9HqtXrzZPh0nqwHpTJ9abOrHe1In1pl5qqLu8vDzEx8eb4zZbGPhWwZTeEB4e7rXANyQkBOHh4Yo9uKgy1ps6sd7UifWmTqw39VJT3VWVlsrObURERETkExj4EhEREZFPYOBLRERERD6BOb5ERETkEoPBAL1e79Cyer0e/v7+KC4uhsFg8HDJSEpKqDs/Pz/4+/u7PbQsA18iIiJyWn5+Pi5evAhBEBxaXhAExMTE4MKFCxwXX2WUUnchISGoV68eAgICXN4GA18iIiJyisFgwMWLFxESEoK6des6FAwZjUbk5+cjLCzM7gQDpDxy150gCCgtLUVWVhbS0tLQrFkzl8vBwJeIiIicotfrIQgC6tati+DgYIfWMRqNKC0tRVBQEANflVFC3QUHB0On0+HcuXPmsriCRx4RERG5hCkL5E1SBN0MfImIiIjIJzDwJSIiIiKfwMCXiIiIyAFnz56FRqPB/v37HV5n4cKFiIyMlL0cJGLgS0RERD7jwoUL+L//+z/ExsYiICAADRs2xHPPPYdr165VuW58fDzS09PRpk0bh/c3atQonDhxwp0iu6RPnz7QaDTQaDQIDAxEXFwcRowYgV9//dXpbc2YMQM9e/b0QCm9j4EvERER+YQzZ86gc+fOOHnyJH788UecOnUKX331FdatW4fk5GRkZ2fbXLe0tBR+fn6IiYmBv7/jg2IFBwcjKipKiuI7bdy4cUhPT8fp06fxyy+/oHXr1rj//vvxxBNPyFIeJWDgS0RERG4zGOR5OOOZZ55BQEAAVq9ejd69e6NBgwYYOnQo1q5di0uXLuG1114zL9uoUSO8/fbbeOSRRxAeHo4nnnjCaorBsmXL0KxZMwQFBaFv37747rvvoNFokJOTA6ByqsP06dPRoUMHfP/992jUqBEiIiJw//3348aNG+ZlVq5ciR49eiAyMhK1a9fGbbfdhtOnTztdJyEhIYiJiUH9+vVx6623YtasWfj6668xd+5crF271rzcyy+/jObNmyMkJASNGzfGG2+8YZ6Rb+HChXjrrbdw+PBh+Pn5QaPRYOHChQCAjz76CG3btkVoaCji4+Px9NNPIz8/3+lyehPH8SUiIiK3GAzAihX2lzEagcJCf4SEAFIOBTtsGODnV/Vy2dnZWLVqFd55551KYw/HxMRg9OjRWLJkCb744gvzMG0ffPAB3nzzTUybNs3qNtPS0nDPPffgueeew+OPP46UlBRMmTKlyrKcPn0a//vf/7B8+XJcv34d9913H95991288847AICCggJMmjQJ7dq1Q35+Pt58803ceeed2L9/v9tDeo0ZMwaTJ0/Gr7/+igEDBgAAatSogYULFyI2NhaHDh3CuHHjUKNGDbz00ksYNWoUDh06hBUrVmDdunXQarWIiIgAIA4v9umnnyIhIQFnzpzB008/jZdeeglffPGFW2X0JAa+REREVO2dPHkSgiCgVatWVl9v1aoVrl+/jqysLHNqQr9+/TB58mTzMmfPnrVY5+uvv0aLFi3w/vvvAwBatGiBw4cPmwNYW4xGIxYuXIgaNWoAAB5++GGsW7fOvN7dd99tsfz8+fNRt25dHD161Kn8Ymu0Wi2aN29u8V5ef/118/8bNWqEKVOmYPHixXjppZcQHByMsLAw+Pv7IyYmxiLwfv755y3W+9e//oWnnnqKgS8RERFVX35+YsurPUYjkJdXhvBwaVt8HWntLU8QBIeX7dy5s93XU1NT0aVLF4vnunbtancdo1EMEk1BLwDUq1cPmZmZ5r9PnjyJN998Ezt37sTVq1dhNBoBAOfPn3c78AXEz6D85CNLlizBp59+itOnTyM/Px9lZWUIDw+vcjtr167FzJkzcfz4ceTl5aGsrAzFxcUoLCxESEiI2+X0BOb4EhERkdv8/OR5OKpp06bQaDQ4duyY1dePHTuGmjVrom7duubnQkND3f1YLAgCUFoKaLU6lI+/NRqNObgFgBEjRiA7Oxtz587Fzp07sXPnTgBiBzt3GQwGnDx5EgkJCQCA7du3Y/To0Rg2bBiWL1+OlJQUvPbaa1Xu6+zZs7jtttvQrl07/PLLL9i7dy8+//xzycrpKWzxJSKbUlIAf3+gbVu5S0JE5J7atWtj4MCB+OKLL/DCCy9Y5PlmZGRg0aJFeOSRR5yahrlFixZYUSG5effu3TaXLx/sCgJgbVfXrl1Damoq5s6dax5CbMuWLQ6XqSrfffcdrl+/bk6n2LZtGxo2bGjRse/cuXMW6wQEBMBQoSfh3r17YTQa8eGHH5rTH3766SfJyukpbPElIquKioCLF4GzZ53vOU1EpESfffYZSkpKMHjwYGzatAkXLlzAypUrMXDgQMTFxVWZm1vRk08+iePHj+Pll1/GiRMn8NNPP5lHPHAmgC6vZs2aqF27Nr755hucOnUK69evx6RJk1zaVmFhITIyMnDx4kXs2LEDL7/8Mp566imMHz8effv2BQA0a9YM58+fx+LFi3H69Gl8+umn+O233yy207BhQ5w/fx779+/H1atXUVJSgqZNm0Kv12POnDk4c+YMvv/+e3z11VculdObGPgSkVVOpMEREalCs2bNsGfPHjRu3Bj33XcfmjRpgieeeAJ9+/bF9u3bUatWLae2l5CQgJ9//hm//vor2rVrhy+//NLcchoYGOhSGbVaLRYvXoy9e/eiTZs2eOGFF8yd55w1d+5c1KtXD02aNMFdd92Fo0ePmkeuMLn99tvxwgsvYMKECejQoQO2bduGN954w2I7d999N/r374/+/fujbt26+PHHH9G+fXt89NFHmDVrFtq0aYNFixZh5syZLpXTmzSCM1nePigvLw8RERHIzc11KNHbXXq9HitWrMCwYcOg0+k8vj+SRnWst8JCYN068f+ODhekNtWx3nwB601+xcXFSEtLQ0JCAoKCghxax2g0Ii8vD+Hh4W4PyaVk77zzDr766itcuHCh0mtiBz/x/1J38vMkpdSdvePO0XiNOb5ERERELvriiy/QpUsX1K5dG1u3bsX777+PCRMmyF0ssoGBLxEREZGLTp48iX/961/Izs5GgwYNMHnyZEydOlXuYpENDHyJiIiIXPTxxx/j448/lrsY5CCVZJcQEREREbmHgS8RERER+QQGvkRERETkExj4EhEREZFPYOBLRERERD6BgS8REVUpOxvYtAm4fl3ukhARuY6BLxERVWnrViA3F9i2Te6SEMlr48aN0Gg0yMnJAQAsXLgQkZGR5tenT5+ODh06yFI2qhoDXyIicpjRKHcJiFw3duxYaDQaaDQa6HQ6JCQk4KWXXkJxcbFk+5gyZQrWmeZ794KLFy8iICAAbdq08do+1YyBLxERqd6pU2JrtMEgd0lI6YYMGYL09HScOXMGH3/8Mb7++mtMmzZNsu2HhYWhdu3akm2vKgsXLsR9992HvLw87Ny50+P70+v1Ht+HJzHwJSIi1Tt2DLh2Dbh4Ue6S+ChBAAoK5HkIglNFDQwMRExMDOLj4zFy5EgMGDAAa9asMb9eUlKCZ599FlFRUQgKCkKPHj2we/duh7dfMdVh7NixGDlyJD744APExdVD48a1MWXKMxYBZHp6OoYPH47g4GAkJCTghx9+QKNGjTB79my7+xIEAQsWLMDDDz+MBx98EPPmzTO/9uqrryIpKanSOu3bt8dbb71l/vvbb79Fq1atEBQUhJYtW+KLL74wv3b27FloNBosWbIEw4cPR0hICBYtWoRr167hgQceQFxcHEJCQtC2bVv8+OOPFvu5ceMGRo8ejdDQUNSrVw8ff/wx+vTpg+eff968TElJCaZMmYK4uDiEhoYiKSkJGzdurOITdg+nLCYiomqDLb4yKSwEwsLsLqIFEOmJfefnA6GhLq16+PBhbNu2DQ0bNjQ/99JLL+GXX37Bd999h4YNG+K9997D4MGDcerUKdSqVcul/WzYsAH16tXDunUbcPDgKTz22Ch06dIBTz45DgDwyCOP4OrVq9i4cSN0Oh0mTZqEzMxMh7ZbWFiIAQMGIC4uDt26dcPHH3+M0NBQjB49GjNnzsTp06fRpEkTAMCRI0dw8OBB/PLLLwCARYsW4c0338Rnn32Gjh07IiUlBePGjUNoaCjGjBlj3s+rr76Kt956C926dUNISAiKi4uRmJiIl19+GeHh4fjzzz/x8MMPo0mTJujatSsAYNKkSdi6dSuWLVuG6OhovPnmm9i3b5/FRcGECRNw9OhRLF68GLGxsfjtt98wZMgQHDp0CM2aNXPps64KW3x9UF4eUFIidymIiIi8b/ny5QgLC0NQUBDatm2LzMxMvPjiiwCAgoICfPnll3j//fcxdOhQtG7dGnPnzkVwcLBFa6qzatasic8++wwtW7bEkCG3YdCg4Vi/XswDPn78ONauXYu5c+ciKSkJnTp1wrfffouioqIqtztv3jzcf//98PPzQ5s2bdC4cWMsXboUAHDLLbegffv2+OGHH8zLL1q0CElJSWjatCkAYNq0afjwww9x1113ISEhAXfddRdeeOEFfP311xb7ee655zBixAgkJCSgXr16iIuLw5QpU9ChQwc0btwYEydOxJAhQ/DTTz8BEFt7v/vuO3zwwQfo378/2rRpgwULFsBQ7sr0/PnzWLBgAZYuXYqePXuiSZMmmDJlCnr06IEFCxa4/FlXhS2+PiY/H/j7b/H/I0bIWxbybUYjsGULEBEBtG8vd2mIyC0hIeIPjB1GoxF5eXkIDw+HVithu1tIiFOL9+3bF19++SUKCgrw8ccfw9/fH3fffTcA4PTp09Dr9ejevbt5eZ1Oh65du+LYsWMuF/GWW26Bn5+fuXNodHQ9nDhxCACQmpoKf39/dOrUybx806ZNUbNmTbvbzMnJwa+//ootW7aYn3vooYcwd+483H//WAQFAaNHj8b8+fPxxhtvQBAE/Pjjj5g0aRIAMcg/ffo0HnvsMYwbN868jbKyMkRERFjsKzEx0eJvg8GAf//73/jpp59w6dIllJaWoqSkBCH/1MWZM2eg1+vNrb8AEBERgRYtWpj/PnToEAwGA5o3b26x7ZKSEo/mSDPw9THZ2XKXgEiUlSUOj5Wby8CXSPU0mqrTDYxGMRclNBSQMvB1UmhoqLnFc/78+Wjfvj3mzZuHxx57zGP71Ol0Fn9rNBoY3Rwi5YcffkBxcbFFHq8gCDAajTh8+AQ6d26OBx54AC+//DL27duHoqIiXLhwAaNGjQIA5P9zoWJqaS7Pz8/P4u/QCnX7/vvv45NPPsHs2bPRtm1bhIaG4vnnn0dpaanD5c/Pz4efnx/27t1baX9hVaTNuIOpDkQkCyf7oxARSU6r1eLVV1/F66+/jqKiIjRp0gQBAQHYunWreRm9Xo/du3ejdevWHilDixYtUFZWhpSUFPNzp06dwvUqZouZN28eJk+ejP3795sfe/YcQHJyT/z3v/MBAPXr10fv3r2xaNEiLFq0CAMHDkRUVBQAIDo6GrGxsThz5gyaNm1q8UhISLC7761bt+KOO+7AQw89hPbt26Nx48Y4ceKE+fXGjRtDp9NZdArMzc21WKZjx44wGAzIzMystP+YmBjHP0AnMfAlIiJyU34++06o1b333gs/Pz98/vnnCA0Nxfjx4/Hiiy9i5cqVOHr0KMaNG4fCwkKPtQi3bNkSAwYMwBNPPIFdu3YhJSUFTzzxBIKDg6HRaKyus3//fuzbtw+PP/442rRpY/G4++4HsHjxdygrKwMgpjssXrwYS5cuxejRoy22M2PGDMycOROffvopTpw4gUOHDmHBggX46KOP7Ja5WbNmWLNmDbZt24Zjx47hySefxJUrV8yv16hRA2PGjMGLL76IDRs24MiRI3jssceg1WrN76l58+YYPXo0HnnkEfz6669IS0vDrl27MHPmTPz555/ufKR2MfAlIiJyQ2EhsGEDsHq13CVxTE4OsH49kJEhd0mUwd/fHxMmTMB7772HgoICvPvuu7j77rvx8MMPo1OnTjh16hRWrVpVZc6tO/7zn/8gOjoavXr1wp133olx48ahRo0aCAoKsrr8vHnz0Lp1a7Rs2bLSa7fddieysjKxYsUKAMA999yDa9euobCwECNHjrRY9vHHH8e3336LBQsWoG3btujduzcWLlxYZYvv66+/jk6dOmHw4MHo06cPYmJiKm37o48+QnJyMm677TYMGDAA3bt3Nw+bZrJgwQI88sgjmDx5Mlq0aIGRI0di9+7daNCggQOfmms0gqCuG46ff/453n//fWRkZKB9+/aYM2eORfJ0RTk5OXjttdfw66+/Ijs7Gw0bNsTs2bMxbNgwh/aXl5eHiIgI5ObmIjw8XKq3YZNer8eKFSswbNiwSjlBUjh/HjhwQPw/O7dJx9P1JofCQsA0+dCwYUCFFCy3ZWQAprtgch2Lnqi3M2fElr9WrSTZnGL88cfN/8t97rBWb6by3XIL0Lixd8tz+TKwd6/4f7k/G0esXn2zddrV8hYXFyMtLQ0JCQk2g7OKPNa5TUWMRnFkJQAID7ed6nzx4kXEx8dj7dq16N+/v8Pb1+vFoY0BoNwsym6Tou4KCgoQFxeHDz/80OXWc3vHnaPxmqo6ty1ZsgSTJk3CV199haSkJMyePRuDBw9GamqqOWelvNLSUnM+y88//4y4uDicO3fOYk5tUrarV4E9e4B27YDYWLlLQ1S1I0fEf+vXB2rUkLcsRNZwrGPlWb9+PfLz89G2bVukp6fjpZdeQqNGjdCrVy+5i+aylJQUHD9+HF27dkVubq550ow77rhD1nKpKvD96KOPMG7cODz66KMAgK+++gp//vkn5s+fj1deeaXS8vPnz0d2dja2bdtmbhVo1KiRN4tMbtq+Xfx3714GvqQuDC6IyFF6vR6vvvoqzpw5gxo1aqBbt25YtGiR03eibKQEy+aDDz5AamoqAgICkJiYiM2bN6NOnTqylkk1gW9paSn27t2LqVOnmp/TarUYMGAAtpuiowqWLVuG5ORkPPPMM/j9999Rt25dPPjgg3j55ZcrDZ1hUlJSgpJyPRTy/rknodfrvTI/tWkfntqXXg+UlWn++b/ys1xMZQWUXV5P15scKh4rbo68U+X25eCJeiv/nqrR4eDwd9FoFKcNrl3b5cm0qmSt3uT83JVwLDujrEyDf/o9uVxevV5vHjrL0WG5TJmVpvV8kSAAgqD55/83z6sDBw7EwYMHKy3v7OdUfvtGo3THoit11759e6tTPbtT90ajEYIgQK/XV4rjHD2PqybwvXr1KgwGA6Kjoy2ej46OxvHjx62uc+bMGaxfvx6jR4/GihUrcOrUKTz99NPQ6/WYNm2a1XVmzpyJGTNmVHp+9erV5oGZvaH8vOFSysoKRlqamPui1V6pYmn57dlzs77VUF5P1ZscSkr8cOCAeGUuCFckz/G9fj0QJ09GApC/bqWsN9MxW1h4DWFhZZJtV26OfhfT00Nw4YKY49G1q2frtXy9mcqXmXkDx48XenS/FWVnB+HUKXHAf7mPZUfs3RsFg0EMjlwtr7+/P2JiYpCfn+/U2K2AOKuXUhiNYiupt1pKjUagqEgMvQShTPLhjA0GDYqLxZO1RiP9+UfuuistLUVRURE2bdpkHrXCpLDQse+9agJfVxiNRkRFReGbb76Bn58fEhMTcenSJbz//vs2A9+pU6eaZzUBxBbf+Ph4DBo0yGud29asWYOBAwd6rHNb7driN3zYMOmuBrOyxHxGB/s4OMxovHk2krK8UvN0vQkCcOmS2IoWHCz55q0qLAR0OvHzHzpU8EjntogI6Y9FZ3ii3kzHbI8egqSdS+Tm6Hdxzx4NTO0TnqpXa/VmKl90NNCli3ePp8uXgchIeY9lZ2i1N1t8XS1vSUkJzp8/j9DQUAQ7eFISBAE3btxAjRo1bA7T5U1lZUBBgQb+/kBoqHfqTRBgfu/h4YLkAbfBINavaftSUUrdFRUVITg4GL1790ZgYKDFa6Y79FVRTeBbp04d+Pn5WYwTBwBXrlyxOdBxvXr1oNPpLJrDW7VqhYyMDJSWliIgIKDSOoGBgZU+TECcdcWbvfU9tT+dDvD3v/l/KaSnizm4Gg1w222mL7Y02/Yvd4SqYbAET9XbmTNipymtFhg+XPLNW1XxWJE68PXEseh6WaSrt/LvSe73JSVHv4v+/t6r1/L1ZtrntWve/9yVdCw7QqrzqkajQVlZmcO9/E23uDUajSJGddDrxd+q8sGip5lamAHT5+C57Uv5npRSd8XFxdBoNAgODq6U6uDoOVw1ga8pMXrdunXmseKMRiPWrVuHCRMmWF2ne/fu+OGHH2A0Gs0VdeLECdSrV89q0EuuycoS/xUE8QSybp04TMutt8pbrurE9Bn7aFocESmMv78/QkJCkJWVBZ1O51AwZDQaUVpaiuLiYkUEviUlMLd8Fxd7Z59GI2DKDCkuln7m5rIyy+1LRe66EwQBhYWFyMzMRGRkpM1+Wo5QTeALAJMmTcKYMWPQuXNndO3aFbNnz0ZBQYF5lIdHHnkEcXFxmDlzJgBg/Pjx+Oyzz/Dcc89h4sSJOHnyJP7973/j2WeflfNtVGtXr4onE1OgRkS+o7hYeZMiGI1iy56VG3mKVlYG7NsHxMQAHhzL32UajQb16tVDWloazp0759A6giCYb1UrIdWhtPRm4OutLjyCABQVif8PDpY+t9hguDlGs5TvSSl1FxkZ6fZ0xqoKfEeNGoWsrCy8+eabyMjIQIcOHbBy5Upzh7fz589bXInEx8dj1apVeOGFF9CuXTvExcXhueeew8svvyzXWyAiqrb27ZO7BJX9/bc4nXDfvkBYmNylcVxaGnDliviQOvCVatqqgIAANGvWzOHObXq9Hps2bUKvXr0UMdHPkSNAZqb4/759vbPP0lJg61bx/927A1LffL5+Hdi/X/y/lO9JCXVXMXXVVaoKfAFgwoQJNlMbNm7cWOm55ORk7Nixw8OlIiJSLoNBnAgmOhrw5FDmDvYt8ar8fPHf9HSgWTN5y+IMtQyFp9VqHZ65zc/PD2VlZQgKClJE4AvcbPGVumO2LVrtzX0GBkp/JyIgwPI9GY3Ali1ix+hbbnF9u0qsO1fJn2RDRAQxONu8GbAxOiHZcP161ZNlnDsntmwdOuSdMlH1YjQCOTlyl4JccfkykJsrdpAmEQNfHyPVLS6lKisDsrOr//usji5eFH9cT56UuyTqce6c2JpjYw4fs7LqM5wwyWDXLvGiNC1N7pKQs/hbWBkDX6pWtm0T86cc7GtBCsIRK5x3/rz47/Xr8paDqjdTZ+WzZ2UtBllx6ZJ44evkHCI+jYEvSWrXLnn3n5sr/nvhgrzloMoKCsRAzVdaIEy5pe44dQpYv/5mL20pbN4sjnVLROq3b584mhJTxBzHwJeIvGL9euDAAd+5KElJcT/F4Ngx8YJByvSPnBzxzgipS1kZ74qQbWrpDKkEDHzJp2RnA5s2if+SPHzptrxULbUMeHxbWRnw11/AmjVyl0R+giBePBcWyl0SUisGviQro7HqHulS2rpVTIcwjaNIpGbe/O6QfEwpXI7kcRoMYov+qVOeLZNczp4Vx6ldt84z2zcaxcDaNMkEVT8MfElWf/4JrFjBH3AiV9y4IXcJSGkuXBBzuI8dk7sklUnRAcvT+emnT4uB9YYNji2vtD4Lnp5UrbRUHBpNyn4H3sbAl2RTfmrTggL5ykHy8Masl0wRUBdBENOQfK3eCgvFGdqkoNRGhH37gNWrNcjLk3iqMomZZnJz5HPcuVNMnZMy+BUE5QXT5e3bp8GRI/Y7st+4ARw8KE5hrkQMfEk2ptt3pE56vbLHh71wQbyjcOmS3CUhg0EM7KoKJo4dE9OQUlK8Uy6lWLdODCRMQVdFSu8QKgjirH32AjbT9zA9PdSlfZSUSDNSipQyM8X3LdWdF0EANm4Up9mWSvk6kaID3NWr4r/2JjTZtEkcUnTvXvf35wkMfIkqUMuwW4WFYpBQvuXclgMHpD0JGQzAypVihxulMs1Xv2+frMWwKTcX2L3b83c7SkrkD/737RMDu6pmjjPNLnX5sufLpES2Ot26Gvh66xyWmioGa56cGXD1ajH9oDrn3pqC+xs3PNOo4G76S8U7MbY6GJqWU+IU5gADX6JKTMNuSTFLkSdv2R44IP5Q7t5ddRnOnxeDCal6Qpf/8VHiBYJUt409adMm8aJl507P7mfzZu+1lNlKXzFdnCm95bK68dY0w6bh9rwxcRDvFLrO3bzczMwQi7/T093bnlwY+BLZ4MiQZ/aCvtxc8Vb7kSPSlak8VzqKKDFItcbdPEVPB75Go3S5eJ5u8a3OLWRkn1q+70plK/VEibzRZ0Kv9/P8TryAgS+RHWVl4u1Xa0n6JSXiuJq2AlvTbSXT7VtriorE24Rq7iHrCVJO2CC106fFC5rly8VWW6peBEFsyeIFgzwMBnGsbyUE7ZwNrXpi4Etkx8GDYmC7ZUvl19LSxIC1YmB78aLjgdv27cCJE8CePe6XtTrxVtCRnQ2cOBHpVArI0aM3/5+XxxmTqpuLF8Xv49q1cpdEeaRqVSwsBHbsuNlRqrwdO8Tz7dmz0uyLqCIGvkR2mG51OROIpaSILQWO5KKZbnNzJjnPstWivm2bBjk5gdi3zwv3CUkVsrKk2U5hofJGIVCKlBQNsrLEC/+KTOdCb+QLk29i4KtixcXilfHFi3KXpHpyd7B1b7YESjEwvKvUMAZzVSNfuNPCzFvi6uCNHMjy1q0TRyFQ4h0Bucf6dWR8VzWcV0yUOl4tWcfAV8WOHhVzoZwZ89Ja3tT27fJP4VtYKN7akvuEXJ6a8m491YHOEdZmOMrIEJ/3hR7Y5S86lJCXSPIrfxxU96DIUxfdaprEhLnA6sLAV8WkGOdPrxfzrLKz5T1B794tjgGp9BPIhQvKDOaU1uq4e7d4m9fe7D7Vkac6u3m7tZLIUdu2yV0C+XkrSL98WRw/3VputCN4HhEx8CVFcfULXVFOjvQtEVeuiJMimIIbpQ7O7Qmu3q5VUgu+N/jSMeFpp05Ju73r191bv7BQHBNZ7slAlMbZWcus3RW5csXxfGhH76ooeVZJV+3dK56Ld+yQuyTqxsC3mjEaxdQHb+b92hrEesMGeW/9Hjgg7fYqBjVqmCRBKlJNfEHkKHdnmarIkRkO7Tl0SLyglnsmQDnPqY4Gp/YueAsKdBZ/Z2eLd4aspUy5Ki1NnFVS6SNDuHqhzJZb9zDwrWYuXBCDXm/OdW+rZTU/H7h2zXvlqEju1rfyP1C5ueIPp5yd0EgepaXi8FhqGgzf2/R6MdBVco60UtKJqur05clOYYJQdYv31avAihW2+x0YDJZRmydSxw4fFv/15BTKUrDXKi31HQ+6iYFvNePpwCorSxx31tEfKFd+yJTyAyOlTZvE1gdXW6HdCQjKXwBUx9t/1igpgDp6VLwrYmtqYkdab5T0fuxxtSXq4EFl/9AXFdm/pa+kFjh3hgFzZDbCqlq8HZ24R61KSsQWZWsBuyCIgb8Uv8MnT3oudzgjw3vTWSsRA19yyo4d4kxjUszRba1FNi9PHDjeE6MUODs+pyfG4LT34yl1i2B2thhsbd588zklzIh2/rzn96Gk1tWqOo06EtQ6m0fprCNH5D023P0R9nQuuRTnO2dduODd/QmCmG6wfr16LrQuXRJnz/RmELd9u9iibK0j68WL4ut//y3Nvlyph6r6Y9y4IXY+Lv+74Ki8PF3VC6kAA19yiRRX7PZy7uy1FgDilbCzt8gqdggQBDE4tPej6c0xOKU+eW/dWjkA9JVUC7W1bFeVEuTJtJ38fPH7pvQRVexR0li5UgWNUnxXr1wRAxxHLuLLysQ0icJC9QzluG+feGHpzMyXVR0rVdWfvYtQ02+aXCMk6fVVj6TjTiqMweBcyKjUCygGvqRKf/4pXnG7c1svLU0MDqXoIXvkCFBS4uf+hiRw5UrVgZLRKAY7Shok3pGT5NWrYsuksydUa8srabY8vV4sY1aW9R/msjLxOPVES7avjbxRFUfTFi5dsn7BYsovVYJTp5TRIc/THE0JOHDAveHApCZlYJiersyhNpWIgW81ptSrLXeVb404fdqxdax9FqZcNCkCoLQ0DY4dq+X+htyUlyde8Vd1q+3kSTFYX7/e+X3k57vfA9totN8yYQo+MjIsg/jt28WWSSluPUvZSmg0ut/KnJYmBre2JpPJyrKdJ+xpFQMFR1u0qgqqr1xR5/BgN26IwaS1MWyVOJKAXi9e5Dr6m6CWFl9nmdKsUlPlK4On8sHdyQc+eVL8zVDSnRNPYuBbjZmu8o8dU+e0xhVPvqbbdeW/4I6eyC9frvyc1B0HSksd+zoZjWKA42jQbou1E6ijecnuBPtSjBjiSL51bq6Yi2YtiFdSSzUg5qX/9Zd72zB9Rz2dz+usAwfEC47yHA3uqsob3rXr5u1qNVFb56zCQvEi9+BBx5bfv9+jxXGYK3cj5GjNlSKYNRjk6+B5/LjYwJCWVvm1khLxdbUd8/Yw8K0mrHWEuHxZPAmcOmU9WFF6HmTFnEN3cmClCCakulK/cEEM/I4elWZ73ibFrXEldOiSUnVpIdu7t/Jz1jojnjwptnZWVY+O3np15yJUEKruE1CduHMnz1pdWvs+l7+wtFc3VZVl0ybHg21rVqxwvm4rXqSpxfHj1gNPb7JW13v2iN/3HTsc+wFUw51mBr7VhK2e8vY6SMg5xq4jKp6Qq8skCmrMqVTDyUzNlDIVtrU7I7Zcu+babGhSX3BfvOj+3RNblJQHbrJxo7SfobVUE9P3XRCA1attr2st5ah8A0Vurnv9MAD3R/hRYh1a4+7Mgp5i+vwcvcum1PdRHgNfUg0587KUyJVglAGsMrk7q5hcXDme/vpL2uHBpBrxorBQTEEqf6vcndZKT3J2aEZ77LXo6vX28z6lbozwRNAkx1B0pGwMfKuZij9E1m5dmii9BdXZTi8Vb3EZjZ57j94IVHxl6DElOntWmpYid1u7qiu5ZtTKyLBdr3v3igGl2vKNq5MtW9xb3xNjr5sUFKj/nJyeLvabcJW9C92iIs9NuCE1Br4KZzSKuaDl0xLKysQfVHfzCpU07I67Cgut9zxft07a1hETd04ejti7F1i1SjnpKJ74DMuTolNHSYmYi+bu9yIzUwzMbI2u4IzTp9WZ2qIkUoyYYbJ7t+169WTAazCIx5VUx4KUU2AbjeL2vDGxjCcVFDg+2oyzF7UlJWLnwFWrnC+XL8jNFTv4btwod0kcw8BX4U6fFh/lh805fFi8BedKZy97V2xquA2+f79zeYiAeEJXw3srz/QeTQGht6dEFQTLFndPj6JgGlrOHbt3ix1EqhrAvSrOvteqji215Bgq1erVYnqE0jvj2nPggDgUnZSpE64ObVexU+2FC2JLoCudbZV0XnWlkcDR86onJ5DxJG/N/mf6vVLaaDu2MPBVOGsHkpS32T0dUO3YIW2nnQsXrJ+g7V0ECELVLYppacoZ1Ly8zEx5bh9dvOjZmbyqOu4uXHCsday4+ObnY8oPVPIc9GvWqP92qT2Onk9KShyrX0G4mWMqR/DhaqpUxc/BdBGphGElK3YEdGfsVjXP9ucLlDIsndIw8FURNQ70Drift+UIe7f9HGkpOnxYGcPglJRUvuX455+embHLHqlbKV1pGaqqdSw/XwwkvXl7zdpFiDMtkcXFypzgwBqDwbOpNgcOVL1M+bQVOQbXZ5qKdRs2eDafVkr5+eL5R4m526dOiXdzeZx5l7/cBSDH7dsHxMW5vr5ctyHUkvAut8xMMXfb0ydog8H51m1BEAM8fxfPGBUv2txNRwBu3vmwdly7cyfD3rrWxtmUIk1DDkeOAK1a2X593z7PduJU64V8dWNvYgJboyzk57s/zJi3ZGYCy5d7fj8Gg/PfF9PdUG+lJDhCEMQ7tTVqAG3ayF0az2CLrw+Re752vV7sfCTlSAtGo9jip6QThz32gqrr173TKuHK7a/0dDHP0tWOY0qZ9cdoFG/PXrvmWCv0unWWw+hZqx+15LVVdOaM/dZnR3/EL1y4OfOTNe7kgSrluKn4vXVn6mg1pbrYG15M7Q0aJ09KO0mOIyOVCIL1YTml+iz37HF/G1evig+5J9PwJAa+PsSVE67RKF4xS9Gx5NAh8Qfy77+lu5VeXKyuGb7klpvrWOdAW8GKWsebNTl37uasY44oLAROnBD/L+XoAo7u21mnT4vfL0e/6+4GlhkZ4oXUyZPifiteGGg09odUrIo30qQcYe985WxO+apVthshTp50PaWjrEy6HGKjEfjjj6qnnFYzexdrrnCk8eXYMWkDyoopElKkA5U/97syI6IaLuwY+FYTUuZklr/6PHFCbN3YscP97Zpur5eVSTNUlBrJ3UriaC6ZGlrQXWkdL98668yQdEajmGstxZBP16879n1at875bR89Kv6YeytgceSH0ZMTCBQVeX664mvX7F8sujK04aVL4oWCtc/GdKHliOvXb24jJcX61PSkHFLPMOjpzpKupLN4eqhPKTDHlyzk5Ykn5IYNgXbtbv7Qq2EaQjVQ+qQh7hAEMUCIjPT8vjQa7w4T5kwwUhVvdFR05gJLKekEzsjLA06dikR4uHvD0pw8CYSFAfXq2V6mqotAVy9m8/LEW9MjRlg+78xdBVOLeFCQ9ztvVbdh+gRBPK+o6RzNTnGuYeCrMp6e0MDUUnTuHFC3ru3bFidPAo0be398WVKuS5eqb4uTt4e681aLbVaW51tMPWHLFg2yswORk+N6h8vs7JvDcfXr53r+emmpexcPUgSQcoxYIPfdK6kJghj0unIc2FpHrxePjfBw98pG0mKqg0LZysX0ZsL5nj22cz31evXP9KNmgmCZnyYI8v4QlZbKO8ucK4PvK5m3xkdVa368u8e6wWCZbrV+vXud8OzdEq7qboGvpn1Jyd3ZGk1sncOqOjZs7X/1avEOqpLHFvdFbPFVqM2bNfD3F2/DeZMzk004M45jXp50JyeqnBuYnS3moLqquFhsmahZ07X1V60C4uNd37+7pMydU2swSI6TOtfSHmdnmiTXePL35fBh19YzXaBlZXknBYwcwxZfhfP2IOGeGprp7789s11HZGXJt29rpGgZlTovc80aMV/QnZYJOSYYkJJeL45QoJYJJiqScoZEqSh1qlc15jWTfZ66S5KV5f7voqtlU0NHMTVi4Ksy6enqDzB8nbtDgnmyZcObLWFKc+iQOkazsGXTpsrPyT2lrJQBpiBId2HONC3vUutvVm6u6yMaSXHRl5Wlrs52asHAV4FKS5VZLUpsUfImpZyAPDlTmJJvy5bPs/NE8G/v+FbrqCbVaRzW3bvFXFxHOuMdOeJezm55vn7ek8LKlXKXwPukvMtZXGx5HFa3joXexhxfBcrP17mUD+RubmJVwYS1FiVfcu6c3CUQlZUpO0Atz5mWHmfGjHSlBenoUdudQ/lDoh6OHCdnzog5le5M8W6i1HQN8g25udZnZDMaldFprqwMOHVK7lI4h4FvNXLuHBAQ4Pr6mzc7t7w3Z7FSC2+1DEp5wnP2pOVKy7cSToz20jjUeiuWbJNjiC9yniPfPW98P48dU2aDgr1JKi5dknZfVX9nKo9f+tdf0pbBG5R5T508orAQuHJFuu0p8SThrhUr3Ft/7171DWzsTOqEweDaoOm8SJKOIwEdx9cmtXAkHceVGcScdeaMZy+WqspPV0I6lbMpZGrtCKy6wPfzzz9Ho0aNEBQUhKSkJOzatcuh9RYvXgyNRoORI0d6toAKp7QRDpTG3ZlwpMortEfO4baU1PnLG5+1Eq1Z49kZmzIy5B2Fxdf52mxcjqQZVYdZ4tavt/2alA1SFTmbxuXMebWqu39KPZZVFfguWbIEkyZNwrRp07Bv3z60b98egwcPRmYVc4CePXsWU6ZMQc+ePb1UUt9QVqbOWZ/UztND3G3bZvs1uU5kpaWV9+1M7uWhQ9KWR262ZlSUwu7dzGuVk9S3r0n5XGlpdjRAdebcl5lZ/SYDskZVge9HH32EcePG4dFHH0Xr1q3x1VdfISQkBPPnz7e5jsFgwOjRozFjxgw0btzYi6X1Dd64BUXeJecMbLasWmXZM5y38qumpNZ5co4nL2zUyFPjy6tZaqr729i1Czh40PI5b88dIAfVdG4rLS3F3r17MXXqVPNzWq0WAwYMwPbt222u99ZbbyEqKgqPPfYYNjvQe6ukpAQl5RJd8v5p+tDr9dB7IcPetA+DC01rN24A4eECysocjwr0eueWJ+tM9VVWVqbY2ztSKCuzna9r67XSUumPsaruNGg0juUVm+rNYDCgqEg9uch6vQB/f9j8XPV6AXv2VN/vdfl6s0WvF6DX2/6MPMnd86o7szAqmSP15otcOa9KEfg6c3fB1brT672Xk+ZojKaawPfq1aswGAyIjo62eD46OhrHbYzSvmXLFsybNw/79+93eD8zZ87EjBkzKj2/evVqhISEOFVm1wUiJSXFpTUDAoxOjQMsCJnYuzfKpX1RZfv27YNer6obKU4JCjKguNjP6ms1a5bg+vXASs9bG4rH0/z9nQs8XP2+yaWw8Br8/QUcPFjH6usXLhTiyhVvna/kY6/erly5gQMHSmx+Rp6k1V7Bnj3RVS/oo9T2ffO04GADioqcO6/KITDQ+brTaj2YwFxBoYNDDqkm8HXWjRs38PDDD2Pu3LmoU8fxE9/UqVMxadIk8995eXmIj4/HoEGDEB4e7omiWtDr9ViyZBM6duwIPz/rXwQpDRkiQMP7xm4zGAxISUlBmzaJXqk3uYSG2r7tGBPj/qx0UtHpHBsCyVRv3vq+Sa1zZ+vPN2ok4OzZ6vu9dqTemjQRUFwMBAR4/3MYNkyA0Vh9P39Xqf375in2zqv16okztsrN1brr1k1waV4CV+Q52DlBNYFvnTp14OfnhysVuj9euXIFMTExlZY/ffo0zp49ixEjRpifM/7TvdHf3x+pqalo0qRJpfUCAwMRGFj56kqn00Gn07n7Nhzm5+cHf3/PV49OB3hhNz7DW/UmF39/28eLvde8TRCcK0t1qzdf+V7bqzedThzbXI7PwVc+f1dVt++bu+ydOw0GZR1LztadXi9+H7zB0RhNNfdkAwICkJiYiHXr1pmfMxqNWLduHZKTkyst37JlSxw6dAj79+83P26//Xb07dsX+/fvR3x8vDeLT1TtsQMKEZG0qsNQbkqjoOuIqk2aNAljxoxB586d0bVrV8yePRsFBQV49NFHAQCPPPII4uLiMHPmTAQFBaFNmzYW60f+095e8Xkicp+c4wsTERE5QlWB76hRo5CVlYU333wTGRkZ6NChA1auXGnu8Hb+/HlotappxCYiompoyxa5S0Bqwm423qWqwBcAJkyYgAkTJlh9bePGjXbXXbhwofQFIiIiKkcJ088SKUFWFhAbK3cpLLF5VIEMBu9d/jk7nSERkRr46pTWREqixJkIGfgqTGkpkJYW4bX9rVrltV1RNcAObOqgxNn3vI2dgojIGga+CnP1qtwlICK1c3A4y2qNnS2J5KfESfoY+BIRUbWjlumnifLz5S6Bb2HgS0REREQ+gYEvEREREfkEBr5ERERE5BMY+BIRERGRT2DgS0REREQ+gYEvEREREfkEBr5ERERE5BMY+BIRERGRT2DgS0REREQ+gYEvEREREfkEBr5ERERE5BMY+BIRERGRT2DgS0REREQ+gYGvwly5IncJiIiIiKonBr4Kk5enkbsIRERERNUSA18iIiIi8gkMfImIiIjIJzDwJSIiIiKfwMBXYQRB7hIQERERVU8MfImIiIjIJzDwJSIiIiKfwMCXiIiIiHwCA18iIiIi8gkMfImIiIjIJzDwJSIiIiKfwMCXiIiIiHwCA18iIiIi8gkMfImIiIjIJzDwVZj8fLlLQERERFQ9MfAlIiIiIp/AwJeIiIiIfAIDXyIiIiLyCQx8iYiIiMgnMPAlIiIiIp/AwJeIiIiIfAIDXyIiIiLyCQx8iYiIiMgnMPAlIiIiIp/AwJeIiIiIfAIDXyIiIiLyCQx8iYiIiMgnMPAlIiIiIp/AwJeIiIiIfAIDXyIiIiLyCQx8iYiIiMgnMPAlIiIiIp+gusD3888/R6NGjRAUFISkpCTs2rXL5rJz585Fz549UbNmTdSsWRMDBgywuzwRERERVV+qCnyXLFmCSZMmYdq0adi3bx/at2+PwYMHIzMz0+ryGzduxAMPPIANGzZg+/btiI+Px6BBg3Dp0iUvl5yIiIiI5KaqwPejjz7CuHHj8Oijj6J169b46quvEBISgvnz51tdftGiRXj66afRoUMHtGzZEt9++y2MRiPWrVvn5ZITERERkdz85S6Ao0pLS7F3715MnTrV/JxWq8WAAQOwfft2h7ZRWFgIvV6PWrVq2VympKQEJSUl5r/z8vIAAHq9Hnq93sXSO85gMP7zr8Hj+yLpmOqL9aYurDd1Yr2pE+tNvdypO71ekLo4NvbjWIymmsD36tWrMBgMiI6Otng+Ojoax48fd2gbL7/8MmJjYzFgwACby8ycORMzZsyo9Pzq1asREhLiXKFdkJIS/c+/KR7fF0mP9aZOrDd1Yr2pE+tNvVypO632igdKUllhYaFDy6km8HXXu+++i8WLF2Pjxo0ICgqyudzUqVMxadIk8995eXnm3ODw8HCPl1OvNyIlJQUdO3aEn5+fx/dH0jAYDKw3FWK9qRPrTZ1Yb+rlTt0NG+adFl/THfqqqCbwrVOnDvz8/HDliuWVw5UrVxATE2N33Q8++ADvvvsu1q5di3bt2tldNjAwEIGBgZWe1+l00Ol0zhfcSX5+Zf/86wd/f9VUD/2D9aZOrDd1Yr2pE+tNvVypOy+ETv/sx7EdqaZzW0BAABITEy06ppk6qiUnJ9tc77333sPbb7+NlStXonPnzt4oKhEREREpkKouuSZNmoQxY8agc+fO6Nq1K2bPno2CggI8+uijAIBHHnkEcXFxmDlzJgBg1qxZePPNN/HDDz+gUaNGyMjIAACEhYUhLCxMtvdBRERERN6nqsB31KhRyMrKwptvvomMjAx06NABK1euNHd4O3/+PLTam43YX375JUpLS3HPPfdYbGfatGmYPn26N4tORERERDJTVeALABMmTMCECROsvrZx40aLv8+ePev5AhERERGRKqgmx5eIiIiIyB0MfImIiIjIJzDwJSIiIiKfwMCXiIiIiHwCA18iIiIi8gkMfImIiIjIJzDwJSIiIiKfwMCXiIiIiHwCA18iIiIi8gkMfImIiIjIJzDwJSIiIiKfwMCXiIiIiHwCA18iIiIi8gkMfImIiIjIJzDwJSIiIiKfwMCXiIiIiHwCA18iIiIi8gkMfImIiIjIJzDwJSIiIiKfwMCXiIiIiHwCA18iIiIi8gkMfImIiIjIJzDwJSIiIiKfwMCXiIiIiHwCA18iIiIi8gkMfImIiIjIJzDwJSIiIiKfwMCXiIiIiHwCA18iIiIi8gkMfImIiIjIJzDwJSIiIiKfwMCXiIiIiHwCA18iIiIi8gkMfImIiIjIJzDwJSIiIiKfwMCXiIiIiHwCA18iIiIi8gkMfImIiIjIJzDwJSIiIiKf4FbgKwgCBEGQqixERERERB7jUuA7b948tGnTBkFBQQgKCkKbNm3w7bffSl02IiIiIiLJ+Du7wptvvomPPvoIEydORHJyMgBg+/bteOGFF3D+/Hm89dZbkheSiIiIiMhdTge+X375JebOnYsHHnjA/Nztt9+Odu3aYeLEiQx8iYiIiEiRnE510Ov16Ny5c6XnExMTUVZWJkmhiEz8SgpR8+hWwGiUuyhERESkck4Hvg8//DC+/PLLSs9/8803GD16tCSFIgKA2M1LMOzeUPR4pQeSZgwFAARmp6PL2yMQtWeFzKWTGAN7VauRdhC3fPMsYrb/dvNJQUDE6X3wKymUr2BERGTBrc5tjz/+OB5//HG0bdsWc+fOhVarxaRJk8wPUqaIk3tQ89g2ybbnX5ArtsoKAiAIqLdlKcLOHwUA9HwhESNu1yB+zXyMuF2DEbdr4F+Qi5DLpwCDAQAQeD0DzZb8C7UPbkDXt27DiNs1qH1wAxLfv9+8j6iU1Wi14EW0/XoCYnYvR9JbwwEAGkMZ4v7+AUFXL1ovnJWAMjjrPGod3mT/TXlxtJLwM/sx5MGaSPh9tvX9GgyIOLkHGkO5OypGIxqsmovI1J1o8d/XEXF6n9VtB1y/ggH/1wD1tv5sfk6Xfx21D/8NCAL8C/Mkfjc3+RUXePVzdJRfcYHN1zT6Upe22ee59mi8fA66zLwLI27XIOjqRdTf+F/0eiERw+4NdbWoCD+dgvrr/2P7c1Tg52uN6VgIu3DM8jguz2hESPppi/dUN2U1ht0TLJ4vFK7G2UOITN3pse3r8q5BU6Z3ezt1DqzDLd88i7p7V5rrwq+kEM1/mIbw0ykub1dTpkdAbpbb5XNH+WPLvyAXt3zzLCKP75CxRBITBESc2uv2eTswOx3BGWkSFeof//yeq4FGcHI8sr59+zq2YY0G69evd6lQSpKXl4eIiAjk5uYiPDzc4/v77bcy7NmzB507d4a/v2UKtlZfgoYrvkRW4hDk12/p2g4MBoy4U9zuXz9cR1lYpHPrCwL8SgphCLr5Y37bHVpoBAG5Ce0BjRYRZ8STZ9rwCUj48zPXyumgvAa3IPz8EQDA7ld+QVbiELT7bByMuiBo9cWI2rcK2/+1DnkN2wJa8TpvxO0aAMCmD3cht1kXi+0FZqcj8b37UPvoFpy66yWUREbj7NDxMAYGV9p38JWzKAuNQMiVNFxr0BZ79u61Wm8AEJR1AYE5V5DbrDPqHFiH6J2/49iYWTAGBpvLAwC5jTti84e7IPjd3Ibp9XODHsfBCXMBAA1Wf4v2n42rtJ818y+guE79SusCwOqFl1EaXge33RVgsc6hJz/D2eHPVNqWX3GBRT3bJAjiBYafn/mpiJN70GtyF3OZQzLOoONHD+HMHZOQ2XkYDIEhVW8XQO1DG+FXWoTMxKEOLV9VOTvPvAv1dvwP5/s/igPPzkO99f/BjhtA3G2jMfippgjJPIc9Ly9Fq+9ega4gB2sWXIQxIAiA+EMavXs5On30EE6MegPNl7wNADg3+Ak0XPWN3V2v++okiuvUR48pSchpnoSDE76BLv86hjxYCwCwYmkBws4fQV5CB4Smn0K97b/izIjnMGxUDQDAjukrkdVpsMU2I1N3ouvbt+Hoox+gLCQcjX//GCmTvkdRVEP3PysbQi+m4tbpg3HynldxfsgTjq1z6QT6jW9h8dwfvxsBjcbiufafPoYGa+ejODIaa/6TAcDy+N036b+40uU2lIVGoKxMPE8OqqFH+2+fh+DnjwPPzMWNhHbWC2EwQGssg1EXWOklv6J8tF74Ei53vxfX2vWFX0khGqz8Ble6jkBxrVir330T/8I8hF08jrxG7TD8HnG5Vd9nojSiru0PxGCArjAX+hq1bC8D8YI46a1h2DF9FfShkRj4WAPkxzXHhi9T0W7O44jZtQwbPz+K8LQDKIhthqK6DWxuS1tShND0U7jRqK3FZwoAfywT0PK7qWj2y7vmv2E0ImrvX8htmoiSmjEAgIDcLPiVFELQaBF0PR05zbtabKf3xHYIP3cI6786gYLYZhavBeRmoeX3r0IfGIrtQXFILryAUw9Or/wZCAJCMs5Aa9Ajas8K87lXYyiDoPWzOGY0ZXq0n/M4DIHBODT+S7T67hU0XvYx/v7kAPLjW1m8z/3PzseFAY9WKlODVXNxsf8YFNeOMz8flHUBpZFR0N3IFt97hePUHk2ZHtBoEJm6EznNukDQBVRexlBmcX63yWgUly23jeidy9D1nTtQEJ2A9XPPVPpuLf+lxOo+AfHixhAYgrCLx9H36VYAgJWLrlV5HJqYvnPWfuPafvk0Gv31JY499A4yE4ei9cIXUeP8Efw9ez9Ka0ZjxAiHduE2R+M1pwNfX6OkwLfZ4rfQ8odpAMSTU0jGGXSYPRYX+zwEY2AwLvUYZfOgj0zdic6z7sHxh95Bx9ljAAAbPzmAGwntEHr5JJr8Mgtn7ngB+Q1uQfSO35H43n3wKytF+q0jsfflpWj3+ZNosHa+eXtX2/ZFnUMbPPQpeMb15knYMX0lhj5Y0/zc6gWX0GzpO4g4k4Jzg59Ax08erbTexd4PImXyIgBA2PkjqHH+CFr9ZypCM86Yl8mPaYItrYagy+V9uNR/DPJjm+Nau38uEgUBI+4Qg+6NnxxAn+faAwCKa8Zgw5epGHp/RKV9bvv3RiRNGww/fYnF83/+XASjn8588VJRYVQj7HxzORqsmYcmv3/s8GeT0fV21EzdgdN3TkHrhS+Zn7/atg92vLXG4kTtn5+DuvvXoM03E1EQ2wy1j26BPiQcq7/PNAcWXf51B2J2LQMgHqvJr/WzOF62zNqK66262S1T4PUMDBpTDwCw6j9XUBoZZXPZqN1/ovbhv3HskZmAVovahzYi7OIxtPrPVJweOdn8vbHlbP+xaLRuYaXnS8NqIiD/ut11vSGnSSds/ngv4jb8F1p9CS4M/D/zMVXelcSh2DXNMg0o8d17ELvtF2S3TEZ+/VY4+n8fQB9Ws9K6JuFn9kMfVhNFUQ2hMZQh8HqG+WKqfDCx98XFuNxzlPiHIAAaDTr/+07U2/E/bJ25Cdm39AQAdPxwNOr//UOl/az75jQKYxrDvyAXQdmX0feZ1ubXimvVgyEgBKEZp62WsaBuQ6QkJKPHrsUWz1cKOg0GdJw9BvX/Fr+/O9/4A7r8HFzq+xAAsYW/9cKX0PiPTwCIx2qrBS+i6W8fmDex7V/rca1dX/jn5yAw5woK6ouBRqsFL6Hpb+8DAIrqxCP46gWLzyU48xxaffcyTt/1EnKbdIIu/zoiU3eiw5z/Q1B2OtZ/mQpDQDC6zLwLRXUboMb5I9j+r3Uorh2H4CtnMWBcgtX3fuK+19D8p3cqPf/3J/vR4ZNHkR/XHMFXL+Ji7wfR7qvKF7RWP8/oBIReEVsAMzsNQWl4HdTf+F8AQFb7/jg9cgpunVH54vPg018hvdvdKA2vYz42jj/4Fk6Oeh0tv38NxbXq4fzAxzH83soXulnt+2PH9FWAnx+idi9H268nICTzXJVlTXluIQJuXEPDv75EWLp4J6AgprHF+XjXq/9D13+PtFhv5xt/IPuWXmjy63u43GMU+jzbzrzu+m/E4yzi9D70eiHRYr3VCy6hpHasxXNRe/9C0oxhuHZLL2yb+TcA4Ja5z5uPIwC42Hs0Uib/1/x32y+eQqOVXwOo8N2pQJd/Hfqwmug9oQ3CLh7Hzml/4Wq7foBWi8T3RiF261IA1s+racOewbGxszDsvjAAN3/je0zuipond1fa18HxX+Lc0KdQI+0g+jzXHlc6D8OuN/9ESMYZRO9chmZL30FBbHPseHsNSrQ65P30GZo2a46w65cRkHcVrb5/1ep7KO/UnS+i6a/vVbmcFByO1wSyKzc3VwAg5ObmemV/v/6qF159dbvw6696YdkyQfjj11JhxY85wrJlgpDZYeA/yQQQli0ThLz41ua/BUC41qq7sPL7TOHI2PeES93uEZb/UiwsWyZYLFPxcWb4BIu///hNb3d5X34sX1ooexkEQDgy5l3Z9r3vuQVOr3Ohz0NCfnRCped3vLHc/P/1nx0Rli0ThGMPvmV1Gwee+lxYtkwQNr+7RRAAIb3LbcKyZYJw/IHpsteHtx4HnvrcoeX+/Clf2PTBTmH9Z4eFy7feaXWZK52GCEfGvCusWnhZWPPtWeHE3a8Iu175RUiZOM+8zKHHPjb/vywgWFg973yl7WybsVrY8MkBQR8cVum1ze9uEVb+54rXPyejViucHfiY+Vhx5rFsmWD1WD0y9j2Lvw8/9pHd7RTWqW9ZJ0sLKi1THBEl+zHlqUd+TBOHl90+Y5Xs5V22TLD7W7n53S3mZSout+7LVIvvTflHetcRggAIGZ2HV3qtNCRcuNYyWTj+wHRh9YKLQsqz8z3y3i51u9vu67te/c3y/Xx1QvpyeImj8ZrTLb7FxcWYM2cONmzYgMzMTBgr5FDu22c911Ct5GrxHRxajICyUrSf87i5JaG8w+M+QZu5z3m8PERKsX/Ct+jw2ePmv3e/+hu6/PtOGUtERNXFrteXoeu/bpe7GNWTc2GmyzyW6jB69GisXr0a99xzD6Kjo6GpkP8ybdo010rsoM8//xzvv/8+MjIy0L59e8yZMwddu3a1ufzSpUvxxhtv4OzZs2jWrBlmzZqFYcOGObw/OQLf60u/wP/9yKCWiIiIVE5hga/TbdDh4eHCli1bXGqGdtfixYuFgIAAYf78+cKRI0eEcePGCZGRkcKVK1esLr9161bBz89PeO+994SjR48Kr7/+uqDT6YRDhw45vE9vpzr8trRI9ts+fPDBBx988MEHH5I8vMRjqQ6tW7fG4sWL0a6djd6zHpSUlIQuXbrgs8/EkQKMRiPi4+MxceJEvPLKK5WWHzVqFAoKCrB8+XLzc7feeis6dOiAr776yqF9ervF90KvBxC/eXHVCxIREREpnXNhpsscjdecnrL4ww8/xMsvv4yvvvoKDRs2dKuQzigtLcXevXsxdepU83NarRYDBgzA9u3bra6zffv2SuMJDx48GP/73/9s7qekpAQlJTd70ufliePl6fV66PXuj6FYFQa9REREVF14I3ZyZj9OB76dO3dGcXExGjdujJCQEOh0OovXs7Oznd2kQ65evQqDwYDo6GiL56Ojo3H8+HGr62RkZFhdPiMjw+Z+Zs6ciRkzZlR6fvXq1QgJcWzsUXfc4fE9EBEREXnHihXemWm1sNCxWTKdDnwfeOABXLp0Cf/+97+tdm5Tu6lTp1q0Eufl5SE+Ph6DBg3ySqoDERERUXXhzIAC7jDdoa+K04Hvtm3bsH37drRv397pQrmjTp068PPzw5UrVyyev3LlCmJiYqyuExMT49TyABAYGIjAwMqz++h0ukqt20RERERkm7diJ0f3U3nqnyq0bNkSRUVFThfIXQEBAUhMTMS6devMzxmNRqxbtw7JyclW10lOTrZYHgDWrFljc3kiIiIiqr6cDnzfffddTJ48GRs3bsS1a9eQl5dn8fCkSZMmYe7cufjuu+9w7NgxjB8/HgUFBXj0UXGa2UceecSi89tzzz2HlStX4sMPP8Tx48cxffp07NmzBxMmTPBoOdWsJLyOx/dxtW1fbPj8KA6O/xJ//lKMLe9u8fg+q5NV32fKXQQiIqIqbZm1Ve4iVObsOGkajUbQaDSCVqu1eJie87Q5c+YIDRo0EAICAoSuXbsKO3bsML/Wu3dvYcyYMRbL//TTT0Lz5s2FgIAA4ZZbbhH+/PNPp/bn7XF8vT2+3rYZq83/LwsIFv76IVvY9/x3Qm6DW4QyXaCwZt45IWXiPOHvj/YI+55bKOydvEgQAEEfHGb+vwAIZbpAi+3ufuVnYdnvRmHFjznChT4PCXum/Gh+bc03ZyymfzQ91sw7Z15m5feZlcr655IbwplhTwsCIBTVjBEEQCgOryMs+61MWPZbmbD8Z8sxkNOGjrf4+9Djsytts+KUzbYeOQntvVov5/uNsfr89ukrhWXLBGH7tL+svr71nQ3i5/nPZy/psfL2Wq8fn/YeVzoOsvr8sQffElLve93i+NQHhtjczgfjl9p87XrTRPP/N8/aKuyd9F/hQu8HXS7z4UffF84OfEy43qSTzfdyvWmisPab05XWXf/ZEdk/c2cfy34rk23f5ad49/aj/HlVAIS1X5+qVOcCIJzrP1b2OvLE40ZsM9nL4Oxj/edHZS+DM4/dLy2x+nzFKe2vtu4hnO/7iNVljz4yU1j2u9Hi923n68sEfVCo+e/M9gOEjMShwsEx7wkXY1oIG2duMr9WFhBkdbt7XlwsLPvdeHOKZy/x2Di+f//9t83XDh06VO1aU709ju+6j/ai/+TOkm3vyGMf4cyI5zDw0TgEXbcczWL1gksoqR0LTZkegkYL+PndfFEQxOd1AXa371+YB0NgCAS/m+niGkOZxd8mWn0JtCVFKAuLtLm98DP7oS0tRk7LW1F33yrcOn0IAOCPZeUOU0EANBqEXkxFce04GILDzC/VX/cdOn4yFqn3v4kTD84wL+9fdANlIWL9hZ0/gjZzn8eJ+99EduseCL5yFiU1YzDokWjoim5UKlNRnXisnXcO/oV5GPqA7bKblNaohZKIKNS4WHm0kXODn0DDVd+Y/1698DL6PNMaAQU5AIDjD76Fq+36Iad5V9Q+sgnXWybD4B8IjdFQqS5G3G7ZsXT5r6UQ/HU2lzk/4P9w4Nl5ldY7OmYWyoLDELVvFfY/vxCJs+5F3QOWKUJ//lIMoy4QgdnpGDQ21uK1C/3GwL/oBmqcO4RjY99DRtId6PVcB0ScPQhArLuK+9QH18Del37CrTOG3ixf/7GI3vMnAnOzKn1uVzoPx643l+PWNwag7oF1OPDMN7gw4FGEn0lBUZ0G0BXloSC2WaX1AACmadU1GgRfOYsGa+cjat9fODj+K1xr2A579u3DuF1zEXHuENK73Y26+9eY3//x0W/j5KjXzceciaZMD61BD0NAMKDRoOnSmWj1/asAxDsau1/7H/xKChGQk4niuvFoPW8yTt85BfkNWpu34V+Qiwarv8XlHvehuG681XLXuHAU4WcPQtD64XLPUai/4XsEZV1Ao7++QPC1S1bf7h+/GxF+Zj96v9DJ+ufhJav+cwWlkVGIPL4DPV+qnF62cc4hlITXRWnNaMBoxIiRfhavr/vqJPo/ZVmne6f8CG1ZKeLW/weLu47Fs98+XGm7W97dguutu0OrL0GPKUmISDtgfi27ZTfUOr7N/Hdmx0GISll9c5/fnEb/J5pU2ubWdzej+ys9AQCbPt6L3MYdAY0G3V/ugVrHxBatk/dMRfSuZfj704OAVouax7ahzoF1ODv8Gehr1AIA1F+3EBFnUnDk8dkWxxMA1Nm/Fi3/+zrSbpuI4MxzCMq+hIK4Fmgz9zlcb9YFQdczkDLpe2S3SEZI1jn0e6q5xfrZLbth66wt8C/INZ9jQy6fsvgMj49+Gy0XvVHp/Vmzb/Ii6G5k4+xtE3Dr6/1R9+B6GHSB2PL+DgTkZkEjGBFw4xrSk++CUReIjh89hPp//wBA/M4nv9YPxTVjUDN1B0KvpFXafkFME6z/5hSi9qxAx48fQcCNa1bLcXjcJ2gz9zkcfOoLZHUajDoH16POgbWI27zEvMzpO15Ak98/BgCUBYdh5Q/XcdudN8+F15snIeWF/0AjGNH+0/9D6oNvodaxrWjx43Tsnvorrrbvj7KQcHR6bxTitvzk0OcjhdN3vICjj32EuA3/RaePKx/LgHjuu9TrARTViUezpf9GVMoqANbPq9da98Seqb9g8MNRAMRpmK+26wdDUKh4Tni+I/LrNcXZYc/gestk5LRIMq9b49xhFNeKFY9VoxHQai3Oe2VlZdizZw86d+4Mf60WfiWFFr+99bb9gtoH1+PIuE8q/f6PGOH+Z+UIj01ZXNGNGzfw448/4ttvv8XevXthMBjc2ZziyDFlccinEzF441fI7DgIuY074fzgcSiq2wBtv3rGHDRZO+iPPfQO/PTFaL7kbQDAnpeWIL3HfebXI07vw436raAxGuBXWoTSiLoefz9uEQRE716OG/GtUViv8o+RLbob2eYfGmcE5Gah48eP4Oywp5GX0B4lkdEIST+N/PhW5i9/rSOb0eVft5sDVZOMjoPxdf+XMLz0PK4m3W6x/xrnDqPPxLbY/+x8ZHS9HUMeEtNJ/vrhuvgDJQgYcYeYdWQR4Feh40cPo/7G/wIAtr+1Blc7DKi0TGB2Ojp+/DBOjnoD19r0BgAkzroPsVuX4mKvB5AyeVGlH2AAqJF2EAkrPsexR2ZW+iy1+hIMvzsIALDzjeXI7DK80vphF4+jyzsjceK+13Gp70OIOLkHvSZ3Mb++d/IPyG7TCwMfrQ8AWP9lqhi4ajTmE3RO00TsnzgfZcE1UBST4PDn4gyLk7n/zZN1u8+eQL1tP2PDF8dRGhlV5Xaidv+JpLdvA+BcHbpKl38d7T5/Etdb3Ioa54+gwdr5AG4GmwCQNH0oovattLr+mdsmovHyOchq1w/7pvyI2K1L0WjFF6hx4ah5mV2v/Y6u79xhswwn730VabdNREnNmJs/kAYD6m/8L7JbdUdhbFPzshXPVRvnHMKNhm0snuvw8SOI3/A9gJufYdSeFUh6Szy+yl/Ymeqta9tb0O/FruaLzL9npyCvcQeL7XadMQzRe//C5vd3WPzQmzRY+Q3af/Ekrjfrgi0f7kLYhWPo+8zNCxTTBWP9dd/BEBiC9B733lzZaETHjx/BpT6jkZk4tNK2vaH/Yw0RknUeKxdds3nei97xO0IzTuPMyEnoPbEtws8dBgDsfvU3CBottGWlaPHDNByY+C0arPoGV9sPwKU+o83r6/Kuocn/PsSFfmNQUL+F1X34FRcgas+fyOo0xNzIAAB+RfloM/c5ZLfugVJdEA5mXEef3FScemCaubx+Rfmov+E/iDy5Bw3WLTCvu3/iPFwY+H+VLjzLvy9DUChymnbGrdOHIK9hGxycMBfQaMSGivsjAADLfympshHHpOKxClh+p/2K8jFsVA2L1w+O/xLtvhxv8dyxR2bi3OAnEHz1AvIS2iM46zyaLX4LDdfMA/DPubPzMECjgcZQhg6fPGo+n+98809kdhxs2RgFIDjzHDq9fz/Sbn8el3uOsniPgkaDTbNTkJfQHgl/fAqjLhDnhjxp+UZMAa0LbJ0rHVFtAt9NmzZh3rx5+OWXXxAbG4u77roLd999N7p06VL1yioiR+Br7+DSlhTBGBgMQAzwhoyuDeCfFrHXfge0WnR6/36U1KyHI+Nme7y8Pumfk3DA9SuI2/QjcpsmIrNFsssnBTWK2rMCEaf34eR9r1n9QbImOOs8BK0fQjLOILt1D0CjQf1136EsJBwZyXd6uMTW2T2ZGwyVfnhsEgTUX/8f5DXugLyE9tIXtArBmeegLSu1aPUOuH4FzX55F+cGjTMHGKGXTiCnWRdAq0XdlNW42qYPDCGWP+K3zH0eBbHNcHb4M6h1ZDNqnDuErI6DURjT2KJVz9odBlvKBxMbPjti0fJtJgiI3vUHcpp1QUmtena3V77edIIRjZd9jKyOgysFvabtavUlMAYEWd+YICDyxC7caNgGhqBQ89N1Utag/sb/4vATn6IsNMKRt6kKoZdOoN/4FiiOjMaa/9ge094THAme/IryEZCfjeLIGIeDVSmZLpQAMZhc/rux0jK1D21Et9f6AgCyW9yKre9vN6+X17CN2Opv7bwoCKhzYB3yGrYV73RUEHliF8LP7Mf5weMcPq+aaMr0Dn8fXeGzgW9GRgYWLlyIefPmIS8vD/fddx+++uorHDhwAK1bWzmRVQNKC3xJmdw5KZB8WG/e4V+YB7+SQrF1WAKsN/cEXbuE0hq1bV8MeIha6s0/PwcN1s7H5Z6jUFw7zvEV3WhRVbrqFPg6XEMjRoxAixYtcPDgQcyePRuXL1/GnDlzJCksERFVX2Uh4ZIFveS+4tpxXg961aQsLBJnRk5yLugFqm3QW904HLb/9ddfePbZZzF+/Hg0a2ajEwkRERERkUI5fHmyZcsW3LhxA4mJiUhKSsJnn32Gq1everJsRERERESScTjwvfXWWzF37lykp6fjySefxOLFixEbGwuj0Yg1a9bgxo3Kw0ARERERESmF0wkpoaGh+L//+z9s2bIFhw4dwuTJk/Huu+8iKioKt99+uyfKSERERETkNrcysVu0aIH33nsPFy9exI8//ihVmYiIiIiIJCdJF0Q/Pz+MHDkSy5Ytk2JzRERERESS49gbREREROQTGPgSERERkU9g4EtEREREPoGBLxERERH5BAa+REREROQTGPgSERERkU9g4EtEREREPoGBLxERERH5BAa+REREROQTGPgSERERkU9g4EtEREREPoGBLxERERH5BAa+REREROQTGPgSERERkU9g4EtEREREPoGBLxERERH5BAa+REREROQTGPgSERERkU9g4EtEREREPoGBLxERERH5BAa+REREROQTGPgSERERkU9g4EtEREREPoGBLxERERH5BAa+REREROQTGPgSERERkU9g4EtEREREPoGBLxERERH5BAa+REREROQTGPgSERERkU9g4EtEREREPoGBLxERERH5BAa+REREROQTGPgSERERkU9g4EtEREREPoGBLxERERH5BAa+REREROQTGPgSERERkU9g4EtEREREPoGBLxERERH5BNUEvtnZ2Rg9ejTCw8MRGRmJxx57DPn5+XaXnzhxIlq0aIHg4GA0aNAAzz77LHJzc71YaiIiIiJSCtUEvqNHj8aRI0ewZs0aLF++HJs2bcITTzxhc/nLly/j8uXL+OCDD3D48GEsXLgQK1euxGOPPebFUhMRERGRUvjLXQBHHDt2DCtXrsTu3bvRuXNnAMCcOXMwbNgwfPDBB4iNja20Tps2bfDLL7+Y/27SpAneeecdPPTQQygrK4O/vyreOhERERFJRBXR3/bt2xEZGWkOegFgwIAB0Gq12LlzJ+68806HtpObm4vw8HC7QW9JSQlKSkrMf+fl5QEA9Ho99Hq9i+/AcQaD8Z9/DR7fF0nHVF+sN3VhvakT602dWG/q5U7d6fWC1MWxsR/HYjRVBL4ZGRmIioqyeM7f3x+1atVCRkaGQ9u4evUq3n77bbvpEQAwc+ZMzJgxo9Lzq1evRkhIiOOFdlFKSvQ//6Z4fF8kPdabOrHe1In1pk6sN/Vype602iseKEllhYWFDi0na+D7yiuvYNasWXaXOXbsmNv7ycvLw/Dhw9G6dWtMnz7d7rJTp07FpEmTLNaNj4/HoEGDEB4e7nZZqqLXG5GSkoKOHTvCz8/P4/sjaRgMBtabCrHe1In1pk6sN/Vyp+6GDfNOi6/pDn1VZA18J0+ejLFjx9pdpnHjxoiJiUFmZqbF82VlZcjOzkZMTIzd9W/cuIEhQ4agRo0a+O2336DT6ewuHxgYiMDAwErP63S6KteVgp9f2T//+jEPWYVYb+rEelMn1ps6sd7Uy5W680Lo9M9+HNuRrEde3bp1Ubdu3SqXS05ORk5ODvbu3YvExEQAwPr162E0GpGUlGRzvby8PAwePBiBgYFYtmwZgoKCJCs7EREREamLKoYza9WqFYYMGYJx48Zh165d2Lp1KyZMmID777/fPKLDpUuX0LJlS+zatQuAGPQOGjQIBQUFmDdvHvLy8pCRkYGMjAwm1hMRERH5INXca1i0aBEmTJiA/v37Q6vV4u6778ann35qfl2v1yM1NdWc3Lxv3z7s3LkTANC0aVOLbaWlpaFRo0ZeKzsRERERyU81gW+tWrXwww8/2Hy9UaNGEISbCdR9+vSx+JuIiIiIfJsqUh2IiIiIiNzFwJeIiIiIfAIDXyIiIiLyCQx8iYiIiMgnMPAlIiIiIp/AwJeIiIiIfAIDXyIiIiLyCQx8iYiIiMgnMPAlIiIiIp/AwJeIiIiIfAIDXyIiIiLyCQx8iYiIiMgnMPAlIiIiIp/AwJeIiIiIfAIDXyIiIiLyCQx8iYiIiMgnMPAlIiIiIp/AwJeIiIiIfAIDXyIiIiLyCQx8iYiIiMgnMPAlIiIiIp/AwJeIiIiIfAIDXyIiIiLyCQx8iYiIiMgnMPAlIiIiIp/AwJeIiIiIfAIDXyIiIiLyCQx8iYiIiMgnMPAlIiIiIp/AwJeIiIiIfAIDXyIiIiLyCQx8iYiIiMgnMPAlIiIiIp/AwJeIiIiIfAIDXyIiIiLyCQx8iYiIiMgnMPAlIiIiIp/AwJeIiIiIfAIDXyIiIiLyCQx8iYiIiMgnMPAlIiIiIp/AwJeIiIiIfAIDX4Vp0ECQuwhERERE1RIDX4UJCJC7BERE0ggN9ez2O3ViQwGRkkVGyl2Cyhj4EhGRRzRq5Nnt+/l5dvtEvqhVK+m2FRgo3bakwsCXiIhUJzy8VO4iEFVLUVFyl8CzGPgSkWr16CF3CUguTZvmyF0EIlIhBr5EpEpBQY4tx+C4evL3F6DRyF0KouolOVnuEngeA18ihanut5mk0rOnY8vVrOnZcsihTRu5S+A4nc5z265b1/rznu5UR1Rd1anj2HJdu3q2HJ7EwLeaa91a7hKQiaO9WyMiPFqMasPRFt/qqGFDuUvgOE8GvhqN9Q50wcGe2ycpiy+fB+QUHS13CVynmsA3Ozsbo0ePRnh4OCIjI/HYY48hPz/foXUFQcDQoUOh0Wjwv//9z7MFVRj2elaOtm3lLgFVF1otEBMjdymI5MfzKjlLNYHv6NGjceTIEaxZswbLly/Hpk2b8MQTTzi07uzZs6FhMpjk2re3/Ds2Vp5ykO+qUUPa7TVoIO32PCksTO4SEMmPqWHkLFUEvseOHcPKlSvx7bffIikpCT169MCcOXOwePFiXL582e66+/fvx4cffoj58+d7qbTu8feXuwSOqxgkxMfLUw61UOJ4hmqnpu+LVDw9Nq4aSH3BQ+rUtq1494OkVd3TR1Txs7F9+3ZERkaic+fO5ucGDBgArVaLnTt34s4777S6XmFhIR588EF8/vnniHHwvmBJSQlKSkrMf+fl5QEA9Ho99Hq9G+/CMQEB4j4MBoMk29PrBZSVeaa1u+K2a9b03L6UzlRftuotJkbshe7I5+PJOqtO9Hpx1q6qPit7n2fFelPDZx8fL0CvB/T6qt+73PR6AWFhQF6etOXU6cr+2b7e6ucQEODZeuzYUUBKime27+cHSHT6V5yqzpPO0usFVXwP1ESvF0dLqfiZunquLCu7ea72NEdjNFUEvhkZGYiqcD/D398ftWrVQkZGhs31XnjhBXTr1g133HGHw/uaOXMmZsyYUen51atXIyQkxPFCuyg7OxBAJFJSUiTZXlZWHs6dC5dkWxVptVewZ0+0xd+nT0fi+nXfbdq0VW+NG+ciM7PY4vOy5fLlAly+zG7pVdFqrwBApc+0Vq1ilJVpkZcXYF6uqs/dVG/nzhUhK0vZPaNKS68iKMiACxfCkJ5u/zhp3vw6TpyQb1iLzMwbKCnxw5Ur0p47IyNL0bw5sGbNGpw9WwOZmZbbNxozsW+f5+6BX7+ei9OnPdMLtV69QqSne/63Rk5S/r5FRxc5dF4lx9g6r5qY6s6R8yoAREaWICsrR7Ly2VNYWOjQcrIGvq+88gpmzZpld5ljx465tO1ly5Zh/fr1Tn/Bpk6dikmTJpn/zsvLQ3x8PAYNGoTwcM8EkOWdP6/HqVMH0bFjR/hJ0DOtTRsBhw975mp42DABRqPG4u89ezSwcy1SbRkMBqSkpNistw4dBNSvD4vPy5amTQWcOsUWjKoMGya2IpT/TIOCgF69xNa4rKyby9n63CvWW3y8gAsXlP3Z9+0rIDQUOHYMOH3aflmTkgSEh0vzftq1E3DwoHPbat1aQGEhcPastJ9prVplyMlZhYEDB+L4cR3OnbPc/m23CdBqPdviW7Om586r69drUFzskc3LqqrzpLPathXQsKFj51WdTrxLQvZZO68ClevO3nm1vOhooEsX77T4mu7QV0XWwHfy5MkYO3as3WUaN26MmJgYZGZmWjxfVlaG7OxsmykM69evx+nTpxFZYQypu+++Gz179sTGjRutrhcYGIhAK8mYOp0OOk+Oy2Pej/ivn58f/CVIYNTpPJcHWXHbpr99Me/SxFa96XSO14XUdZaQAKSlSbc9pTB9V8p/VomJ4hiu5Y9DRz5PU7158vsiFdOx5EhZpfw+uvLZOHPcO6NOHQE5OTfPyxW37+l69OT2AwOBevWACxc8s30lkOr3LSFBTA1xZFPNmgEnTri9y2rP2nm1PGfPlf7+nh3SsDxHYzRZT/F169ZFXVsjkJeTnJyMnJwc7N27F4mJiQDEwNZoNCIpKcnqOq+88goef/xxi+fatm2Ljz/+GCNGjHC/8ARAHMnBXv/ChAQgPR3VsvWCSA7sJOnYpCS9ewN//+35spB9jRsDTZoAa9ZIv21nGo0F7zQ6Vkv+/mKubnWhiv6QrVq1wpAhQzBu3Djs2rULW7duxYQJE3D//fcj9p8xtC5duoSWLVti165dAICYmBi0adPG4gEADRo0QEJCgmzvpbqpqnd1mzbAwIG2X7dx3SIbjnpHStW3rxjMmVpZ4uLkLY+cHAliPJWZ5u1h5AYOrDypzcCBwK23erccrgoJqZ6jBHTpIncJvKd9e6BnTwFhYdUjV0QVgS8ALFq0CC1btkT//v0xbNgw9OjRA9988435db1ej9TUVIeTm0kaTZqIt5B69HBtfalmWGrVyv1ttGkDDBtm+3VHp8hVmuo4E1zTpnKXwPvCwiyDOS90OXBbrVpyl0B63h62MShIPM9WfM6Bm6WKUFVjQsX3phbeHEatXj3v7cuWiAggIMDo9HpKPE4Vns12U61atfDDDz/YfL1Ro0YQqmgGqOp1sq1WLSA7u/Lzfn5Ay5Y3/27RAubObd7K6wGkaanV6eyfzBydclhpKtZDcDBQVCT9fm69FcjPBw4fln7bFVU1n3xEBMyd20g+agjO1SAuDti3T+5SkBxatRLP2enpnt9XuRFjJaPEccdV0+LrK5R4q719eyA52bFlnf2hk+L9Nm/u/jYA9fxIu9tK7kh+pKukaAWRIhOpeXPxIqx3b/e35WtstdIqdaIAJZ4zHeXNxgGlUtNsiXLwZmpNVd+l0NBSybcpB4WeykhJGjQQf/SUOiVxixbub+PWWz0b+DozBLSDc624xRs5d4mJYl6qs6TovOXnJwa/armYkYOzP0iuXjApfZQMZ4VKNMR2UpJrqSDevADxRhoCp95Wj+joQrRuLaBPH7lL4h4GvuSw6nxl7mweUuPGzi3vzA+cUlvWTBx9L7Gx4o+aWlNEqgN7x5K3Ohx5IniSs7OUVC1YUZ6bXwO33CLNdrwwZ5MFT34mVXH3vUa7MYeGM/UlRac6W+eFqrJBtVrxt0/tU4Yr/CeWlMRTSert23tmu57kzklObq1b23+9qh92Z1v+e/YEOIKgPGrXtv1aQIB3yiDl7fzkZKBDh+rfkl9VDntVPJnO5CxnzpVKzAd11D8jrdpk706BM+9bioYEqb6TSuh05woGvtWYK6kJcoz05umrfDX/SNaqJX2LaVU5wvZSLaoKmpXK0R9fbwSDEkxYZVf51hwl5te5o04d74+qIIf69cWORgMGyF0S9wweLN3IPVLq10/68bD9/OwHt9VxhBOl3520RaXFJkc0bOj8D98/wx1XK2pune3e3fWh4jxBrUMPOSImRhyaT+0c/c7byr01DQ3obDoPVebORWu9eu4FjVLlIrsqPt57dxWcpcRg3FFSf6a+ODQkA1+SnOk2W/368pZDrSoGLp5otVPjyH6ezuvs0qX6dcSyx1aKUa1a4njWFfMOHf3BVetdAakNGSLvRasnhqYqr6o+H3LmYTs6CpEaabX2J4WyxVaLsxRj4KsNA19C167Sbi8pSQwi1PID6O0OHFWpUUMct5Mtbpa3I9Xek1hp7LUIWkvHqHgB1qlT5eBYo/HOqCTlKbWVXqer+qLVU99xjUZ55zVvqo5pBeW5clFR3T8TZzDwJURHi8GqVPlkOp3446eW/B8ljlZhLahQOk/09C3fMs0xT5UlLs69/PwhQ6S5bSt1rqbU7HU0q1PH8QsFUwu9p1pyKw4LqfQ7du52AFQaW31RbD0/eDDQv7/nyuMItY7Yo5LQhDwtKko9eU++NEe6GgwcKI7XK+etzapUx2mb1U6nAwYNEjsa+TJHg/8GDYDhwz3XZ6FiAN6hg2f2Y48zKVjOjt8eF+fc8t5WsWN5+/ZAr162W+4DAuRv1W/USLyz27ChvOVwFgNfUp2qRmmQste8p1ut5bpiljLHNyhIOYPQ27q13KyZOLV2VUMOSUHuiV6kPP493aqm0cjfCcvTqjpfOdNq7s27aO72LfDUHZrmzcW7k87eupd6NBVrn4+986qzDUvBwTcv2KOjxTsb3k4jqopWK3Z4VtvISQx8qdpxZbYwWzzdStCxo/PrOHOV74l0CXs/IEq9a6DVisFvbKxnh/jq1k1MUymv4ucl5cWOtc54HTuKY25LNZV3deaNUQdat7Y/Gopax0K1Jy7Oc0NjarXKOM84ex5p2tR+Wp29CwV/f/HOGu92SoOBr4okJcldAu/yhR9uV0YR0Okcb4nzRPqBvdy/qCixl7C1Y1Upw+Y4G2j07ev4BVBoaNU/iHXrinmati7QnPlBLZ9XPWyY2AEwKkqcgluKqby9Ra6ZoGrV8vwIAP7+yuno626LsaP51J06Vb2v0FBxchul8PRFkJ+fmL5g6w5HVa251W1Mbjkx8FU4f3/xyrlzZ/tBklqTzG3xZj6WGoewknPKyKp+0Jo2tX77VinpEM7yxLTL9eqJ2+3eXUzBkIKfn3qnEk1OBtq29f5+AwJcuyWv1iCkd2/31pcqfSE0VCyLt363HMlX1ukcTzvxxAgJnj6m3En1UOvxbgsDX4WpeGLRaMRJJey1Ug0bpqxJDqTgrY4VMTH2E/M9NU2zO5xpmbDVulAxF83UIqWEVkK1nWSd7dhRvrW+Vq3Kw3GpcYxldwUG2p621VO5onXr+t4Ypu62akp116ZvX8HjMxiatG/v+Gx/jnaCtbW9it9d0/nXlXOao3mzVf1GtWkjnmc4POZNKmzrqt5q17b825Fb1X5+vvlj6a6BA6v+fOPixBZhJY0K0LIlcPJk1cu1aiWWu6io6mWbNBHfa1AQkJMDpKe7XUynNWsGZGSIAdCxY97fv6uiooBz5xxbtlcvZR1LvqpOHTEdBHDs+2GPVgsYje6XSYnKB2z9+omB3P799tdR2igdFX9TTerUAS5dkmYftnJvk5KA48ddG2va0bSShg2BrCzx/2Fh4vGYl3fz9YQEz+VbqxVbfBXO3hiQ5B5H81+jo703VJetk7RJ69aOnxCt3SWw13pmeo+RkeIYq+X3o9F4flzPli3FHNXyqSdqTEOxh0EvWZOUJLbGutOPw9Mteo6OvqGWUToqpta405pt6z2HhoojyXhr1IO+feW5i6G2yTEY+CpcdbwVp7QhWZwRFycGL7VrV52O0aKFeDXerZtj2w4Ksr1s//7iLTt3r9wdneqyYoB8662ujUDhqnbtxIs+tXZw9NXe10r4bjsyzq1UedVSiYoSJyRwZ0IQR4MPpb338jw5WkNwsPgZ1a0rtopWPMe5M3SfWnPrpRIerq6Lega+CtaunXeG2/E2Tw927clWwk6dxNvVGk3VeWM6nViHVbXimtjrNBYSIg6F426vbG/l1bmrYUMxb10Nx3/5uwGm8jr7OVeHQLl+fXkmPaioqinYW7SoPnfSund3fh2pxgKWMhc/OVm8sPdk8KTRiJ+XKcXFHWo9fkwXR54YZURNgW81u5FI1UndusCJE86vp9OJo2Ds2SN9maoLOXLC1fhj4cjtYz8/YOhQ8f+uBhVVtZSqYdSWDh3E4KKkRO6S2FfxokTNU2Hbu8Cy1QBgLxVBpwP0evfK5Ao1TT/crp3YwmvtOFd6X5vkZLHcwcHie6huqWSOYouvylXVImbvwI6IqDzYflW6dBH3KcVVs0lQkPUTuL1bd1W1NlTHQeHVLixMHMJo4EDx4cgtV7lbfE23nqv6QfP3d/9HxHSL3troBlW1YrqqfXvPbFcpTHnq9i66QkLEiV6U0FotNWvfMSWko6iZNy5CPZUzW37yj4gI9eRjS42BbzUXGys+2rSp/MPcq5fz4+XGxIi5aFIP81U+t7V+fe9OzekOZwe/HzDAM+XwBE+0woSHixc6QUGOnXRr1vTeVMNyS0wULyhvuUXsXFierQ6N7rYwNWgADB/u3jakJPUkJ927iyOWdO5sf7nGjR0f8kpNw+15czx0NfNW52VHKXEYzepEJeEFAa6dcDUa8Qc1IcHzMxRJxZudqNzlbHAYHGy7FdObrW+OBEzt2nm+HI4wTTVc3fn52e5440lKusiUOlALDRXzGZUW2KiFt0YjcJerDQqmALNNG+nK4oyYGPH32Z3voBTpFQkJYiODIx1DqwMfzfBQp8hI8YsaGgqcPeva+krgiTwoZzsT2ZszPTJSHMvW25TWOcBX87/IOiUFyEoSFmY5bmrdup7vwOsqZxtPatYUh1gLCfFMeRwVFAQUF9t+PThYLGNhoXPbTUoSx3H25vsLCgIKCsT/x8crI/VErsBfLjyVqYhGI94KlWNqT3f16mX9ealuG8bHi3lRSh6qR82U1mmDQbnzoqLcGz2ifOCrptv9nlYxjeLWW5XZx6BBA9fuJERFOT7duKfuzDg6DKOzNBppg15HzpPVMZdcbRj4kldERIgnxbAwz+SO+vmJ+XzWZshRWtBWnhQBhClXtlMnxyeZkOoHytG8SKm0bSvmY5bvrCR3BziqnmrUsN1yW/7uWWioMi4Eqrqj541WPXufg1rSJjxN7tZzYqoDeZGpg5IzgahGo+zAVS716wNpaeKFRJ8+4pSpfn5iQHvxYtXrt20rTnNp7/ahI7z9Y2ZtxIPu3YENG7xbjqoo9Zj1Rkt5+QsRJQSErtBqxe8VYH066pAQ8XUlXXRZm/zB2XOtJzmajhYebpk6IpfgYPens5ZbkyZyl0CZGPiST1J7r9nISPH2X0CA+IPlbI6zn58YPJ865ZHiOc2dTk2O3oZ1hVIDWFfVri3WuycvWHQ6cZQWrfZmMNW+PXD4MGAw2F/X1eArLAzIz3dtXVcpYbYuuYej6t0bOH9evAiXSrduwNWr8o/D3q+fOKbx1avi+7t+3fP7bNoUuHzZ/Rk6TdzpJFurFpCdLU05lIapDtWYWltbPCkgQOzQUB1GCQgKqj4djpwdT1pOahp1pCKNRiy/p1uCate2TEdp0ECc5MPRWQyd1aKFZ7ardP7+4tB3pglUvC08XPoUCp1Ovhzp8hfRWq04jGBcnDiLpDe0aiVOT+9OwFq+k7SjqW/WVDUEoJpVk59Nqigw0HODYKtZSMjNSQk8oW1b9TQRmj4HV4LnhISb0yi7ynR8qq2jmpJG3zBNPeqpQNbUEi9Fy6KzF+Lx8UDPno4t68wxLHcrqdR0OvV9h5QqLk78Trka6MoxBGTFofoCA8Xh3QYOtJ7+4ihbY4dXB/y6VFM9eqirxdfTZe3YEUhN9XyP2oYNgWPH7C/TtClw9Kj8rc61a4vHiSOBQMVUijZt3G/pCQoCBg3ij7Y7atcGhg2zn+rSooWY0mIKkp0RHy8eH6bUiMRE4OBB77QGSf1d7dZNHKZQCcNHeYu3fgNathTTAdQ+qo5G495FZEyMeH73ZgpZrVpiS3H51mp3Al5fwJ8c8gn167t320dKTZqIOcY1agClpZ7fn70WSntTuQJisFRQ4Lm7B9W5VcFbqsrvbt5cHO3EXhCUmAjs3Vv5eY3GMj3BNBOkGtWu7blUC7XR6cT8Vak0a2Z9RB1fJMdkKVLPeOiKyEgx31sNGPhSJb17A3//LXcp5OONDk3eGA3B9D6Cg8WOGq7kjVXHXsHNmokdSBo0AM6ckbs03lFVy19srJgu4OxxKfUMc6a7D7wLQGrVsKE4Yo4nU+qUqEED8Tendm1g40a5S2Mfc3wVKDKyBFqtcy0rUt7S4niL7jF9fkq6pRoaqqyhl+QUHi6mB3hzimh3eKsDY0yM82OMBgaKrcVduzp2DmrbVgyWbaVdaLVi3QwefPM50+1ze7OhyZ23a5rq1d4II65Oq0uOUUpHX61W/D5YG3qxOtNoxPeshNFOqsLragVq3jwHQ4YITrem3HorsGOH/WXq1hWvRtUe3LZpAxw6pIxbPBX16gWUlUnfGkbScXb4t/KU8gOrFM5coNeoIQa19oLkinXTqJEYWNrLW6xRQ5yVTo7bzICYj3zxov3RCLyRdxkdLY49q6QOmN6SmAjs3q2uPGM2RsiDga9CufLj6kgeZqdO4gnanXFT3aXRiIG3Xu/aLDaBgeKPYb16yswR1WgY9FZnoaHisZeeLndJ1MmVu1OOBI1y3mHR6aQbe9UdXbvKXQL5hIeLQ4EB4oQ+Sta5s2f7TpB9DHx9TECAOOWr3Hr1Ev915kewf38xh8jUIqTEoJd8Q+fOwB9/yF0KkoMnJ0wh9XAnvUaucYpJxMCXZOFKq49S5zhv1w7Ytw9o1EgB82ySR6hpaEDynE6d5M8nJmUIDhanS/eFdIXqdv5jtlo1Uj49orp8GdWQMtCwITB0qICoKJVP7E42NWggtvRVx1EuyDFNm7qfIuZObrmnKe0OmlLTNsr/ztaqxTsAasQWX5UyDZJdfhIBjUYcisxorD7DAd16K7B/v2uD73uTFD9o3hhGjVzj7w/07St3KUhO1en2dGDgzXF8e/UCDAbnG0s83QoYHS1+55TyW9aiBVBcrI5RC8g+hRxS5KxWrcTgt2KLqNpHa6goIkIM5skx5X+MOHuP+3gxQibVaTSPLl3EUXGaNbMcASIiArh6Vb5yVaSk1tTmzeUuAUmFga+KqSENgLxvyBDLToDknObNgRMn5C4FKUWTJmJLX3VqVAgLA5KTKz/fsSNw8qSyx6DleY3cxcCXqJrhBZF7WrRg4Es3KT3NSkpBQeIkI57gbmpE27ZAZqayg3JSBwa+VO1FRspdAvI1ck2kQFRedUrVadSIQS9Jg4EvVVt9+wI5OdWrUwqpQ3i4OJtXUJA4mxQRESlDNUrXJ7IUFgbUry93KchXxceLU4STenTqJKYK3Xqr3CUhIk9hiy8RERHEcXrlnM6dpFfdJl9QAz8/cYg8pWKLL1llGuJGKWMoEnlSdRqqiohITt26iZN7dO8ud0msY1hDVnXpIg5rk5Agd0mIPKd7dwGpqXp061aNegEReUH58X+JyouMVG7QCzDwJRuCg4F27eQuBZFn1awJtGqVzZE/iBzUpw+QnS3msBOpkWpu8GVnZ2P06NEIDw9HZGQkHnvsMeTn51e53vbt29GvXz+EhoYiPDwcvXr1QlFRkRdKTEREVL3UqAE0bMjcWVIv1QS+o0ePxpEjR7BmzRosX74cmzZtwhNPPGF3ne3bt2PIkCEYNGgQdu3ahd27d2PChAnQMqGPiLzE3amjmWdPRCQdVZxSjx07hpUrV2L37t3o3LkzAGDOnDkYNmwYPvjgA8TGxlpd74UXXsCzzz6LV155xfxcixYtvFJmcg5bD6i66tIFOHxYnArZGUlJwNGj4njAREQkDVUEvtu3b0dkZKQ56AWAAQMGQKvVYufOnbjzzjsrrZOZmYmdO3di9OjR6NatG06fPo2WLVvinXfeQY8ePWzuq6SkBCUlJea/8/LyAAB6vR56vV7Cd2WdaR/e2JeS6PVAWZnmn//L29GorEyDsjI4VRZX663i++YFgGtMn2FAgABnqsBWvZm2ZzDY3l75erO3z8BAIDHRtD/Hy1az5s0OIj52OqiSWs+TZWUa8zBP3jjPVTy/GI0e36VN4ns3/FMWz9ab0ej495Nss/wMlf+dc7Rsqgh8MzIyEBUVZfGcv78/atWqhYyMDKvrnDlzBgAwffp0fPDBB+jQoQP+85//oH///jh8+DCaNWtmdb2ZM2dixowZlZ5fvXo1QkJC3HwnjluzZo3X9qUEhYX+OHy4NgBAq70ia1mOHKmNggJ/l8ribL3p9VqkpIizHBgMmdDpOLqAK4qL/aHXa7FxY6lL61est/T0UBQV6aDR5Ni8GNmzJxoAUFJyDcHBZS7tl9yjtvPknj1RMBrFA8ob57niYj8cPFgHACAIV+Dn5/Fd2nTsWC3cuKED4Pl6Mxpvfj/1+qsIDFTwoLIKZvoMc3NzULOm2CCo5O9cYWGhQ8vJGvi+8sormDVrlt1ljh075tK2jf9c2j755JN49NFHAQAdO3bEunXrMH/+fMycOdPqelOnTsWkSZPMf+fl5SE+Ph6DBg1CeHi4S2Vxhl6vx5o1azBw4EDodDqP708p8vKAoCDxB2HYMHmDv7AwDf5p6He4LK7WW0kJ4Ocnvu9BgwQEBDhdXHKDO983UwDTu7eAGjU8UTqyRa3nSY3mZouvN85zBQVAQIB4nA4dKsga+EZGapCVZUBKSorH6038+Rffd79+ArzYZlWtmM5xnTsLqF1b+d850x36qsga+E6ePBljx461u0zjxo0RExODzMxMi+fLysqQnZ2NmJgYq+vVq1cPANC6dWuL51u1aoXz58/b3F9gYCACAwMrPa/T6bxa2d7en9x0upudeOR+2/7+rpfF2XozGi33Jfd791WufN9Yb/JT23nS3/9mfwZvFLvieVXOwNff/+b+PV1vPK9Kw9pnqOTvnKPlkjXwrVu3Luo6MJl9cnIycnJysHfvXiT+kyy3fv16GI1GJCUlWV2nUaNGiI2NRWpqqsXzJ06cwNChQ90vPBERkRO6dgV27uQY6Z4mMGOM7FDFuF6tWrXCkCFDMG7cOOzatQtbt27FhAkTcP/995tHdLh06RJatmyJXbt2ARBvKb344ov49NNP8fPPP+PUqVN44403cPz4cTz22GNyvh0iIvJBdeoAw4Zx8gciOamicxsALFq0CBMmTED//v2h1Wpx991349NPPzW/rtfrkZqaapHc/Pzzz6O4uBgvvPACsrOz0b59e6xZswZNmjSR4y0QEZGP48gtpDbVbXpq1QS+tWrVwg8//GDz9UaNGkGwcn/jlVdesRjHl4hISgxkiKg6GjRIHBIvOLh6DamomsCXiEhJGjQASkuBsDC5S0JkXfm+PrxAI2cFBoqP6oaBLymCnL2NiVzRvr3cJSCyLyBA7FCn1YoPImLgSwoRGgq0aMFhZ4iIpBQdLXcJiJSFgS8pRvPmcpeAiIiIqjPe/CAiIiIin8DAl4iIiIh8AgNfIhmV73DCXtdERESexRxfIhnpdEDLljf/T0RERJ7DwJdIZs2ayV0CIqLqo/zdMw6VSRUx8CUiIqJqQ6sFOnQADIbqOQEDuYeBLxEREVUr8fFyl4CUip3biIiIiMgnMPAlIiIiIp/AwJeIiIiIfAIDXyIiIiLyCQx8iYiIiMgnMPAlIiIiIp/AwJeIiIiIfAIDX6IK2rYV/zVNJUxERO4JDpa7BEQiTmBBVEGtWsDw4eLsP0RE5L42bYCyMgH5+dflLgr5OP60E1nBoJeISDoBAUDHjkB4eKncRSEfx593IiIiIvIJDHyJiIiIyCcw8CUiIiIin8DAl4iIiIh8AgNfIiIiIvIJDHyJiIiIyCcw8CUiIiIin8DAl4iIiIh8AgNfIiIiIvIJDHyJiIiIyCcw8CUiIiIin8DAl4iIiIh8AgNfIiIiIvIJDHyJiIiIyCcw8CUiIiIin8DAl4iIiIh8AgNfIiIiIvIJDHyJiIiIyCf4y10ApRMEAQCQl5fnlf3p9XoUFhYiLy8POp3OK/sk97He1In1pk6sN3VivamXGurOFKeZ4jZbGPhW4caNGwCA+Ph4mUtCRERERPbcuHEDERERNl/XCFWFxj7OaDTi8uXLqFGjBjQajcf3l5eXh/j4eFy4cAHh4eEe3x9Jg/WmTqw3dWK9qRPrTb3UUHeCIODGjRuIjY2FVms7k5ctvlXQarWoX7++1/cbHh6u2IOLbGO9qRPrTZ1Yb+rEelMvpdedvZZeE3ZuIyIiIiKfwMCXiIiIiHwCA1+FCQwMxLRp0xAYGCh3UcgJrDd1Yr2pE+tNnVhv6lWd6o6d24iIiIjIJ7DFl4iIiIh8AgNfIiIiIvIJDHyJiIiIyCcw8CUiIiIin8DAV2E+//xzNGrUCEFBQUhKSsKuXbvkLhL9Y/r06dBoNBaPli1bml8vLi7GM888g9q1ayMsLAx33303rly5ImOJfdemTZswYsQIxMbGQqPR4H//+5/F64Ig4M0330S9evUQHByMAQMG4OTJkxbLZGdnY/To0QgPD0dkZCQee+wx5Ofne/Fd+J6q6m3s2LGVvoNDhgyxWIb15l0zZ85Ely5dUKNGDURFRWHkyJFITU21WMaRc+P58+cxfPhwhISEICoqCi+++CLKysq8+VZ8iiP11qdPn0rft6eeespiGTXWGwNfBVmyZAkmTZqEadOmYd++fWjfvj0GDx6MzMxMuYtG/7jllluQnp5ufmzZssX82gsvvIA//vgDS5cuxd9//43Lly/jrrvukrG0vqugoADt27fH559/bvX19957D59++im++uor7Ny5E6GhoRg8eDCKi4vNy4wePRpHjhzBmjVrsHz5cmzatAlPPPGEt96CT6qq3gBgyJAhFt/BH3/80eJ11pt3/f3333jmmWewY8cOrFmzBnq9HoMGDUJBQYF5marOjQaDAcOHD0dpaSm2bduG7777DgsXLsSbb74px1vyCY7UGwCMGzfO4vv23nvvmV9Tbb0JpBhdu3YVnnnmGfPfBoNBiI2NFWbOnCljqchk2rRpQvv27a2+lpOTI+h0OmHp0qXm544dOyYAELZv3+6lEpI1AITffvvN/LfRaBRiYmKE999/3/xcTk6OEBgYKPz444+CIAjC0aNHBQDC7t27zcv89ddfgkajES5duuS1svuyivUmCIIwZswY4Y477rC5DutNfpmZmQIA4e+//xYEwbFz44oVKwStVitkZGSYl/nyyy+F8PBwoaSkxLtvwEdVrDdBEITevXsLzz33nM111FpvbPFViNLSUuzduxcDBgwwP6fVajFgwABs375dxpJReSdPnkRsbCwaN26M0aNH4/z58wCAvXv3Qq/XW9Rfy5Yt0aBBA9afwqSlpSEjI8OiriIiIpCUlGSuq+3btyMyMhKdO3c2LzNgwABotVrs3LnT62WmmzZu3IioqCi0aNEC48ePx7Vr18yvsd7kl5ubCwCoVasWAMfOjdu3b0fbtm0RHR1tXmbw4MHIy8vDkSNHvFh631Wx3kwWLVqEOnXqoE2bNpg6dSoKCwvNr6m13vzlLgCJrl69CoPBYHEAAUB0dDSOHz8uU6movKSkJCxcuBAtWrRAeno6ZsyYgZ49e+Lw4cPIyMhAQEAAIiMjLdaJjo5GRkaGPAUmq0z1Ye27ZnotIyMDUVFRFq/7+/ujVq1arE8ZDRkyBHfddRcSEhJw+vRpvPrqqxg6dCi2b98OPz8/1pvMjEYjnn/+eXTv3h1t2rQBAIfOjRkZGVa/j6bXyLOs1RsAPPjgg2jYsCFiY2Nx8OBBvPzyy0hNTcWvv/4KQL31xsCXyEFDhw41/79du3ZISkpCw4YN8dNPPyE4OFjGkhH5hvvvv9/8/7Zt26Jdu3Zo0qQJNm7ciP79+8tYMgKAZ555BocPH7bo+0DKZ6veyufGt23bFvXq1UP//v1x+vRpNGnSxNvFlAxTHRSiTp068PPzq9TT9cqVK4iJiZGpVGRPZGQkmjdvjlOnTiEmJgalpaXIycmxWIb1pzym+rD3XYuJianUqbSsrAzZ2dmsTwVp3Lgx6tSpg1OnTgFgvclpwoQJWL58OTZs2ID69eubn3fk3BgTE2P1+2h6jTzHVr1Zk5SUBAAW3zc11hsDX4UICAhAYmIi1q1bZ37OaDRi3bp1SE5OlrFkZEt+fj5Onz6NevXqITExETqdzqL+UlNTcf78edafwiQkJCAmJsairvLy8rBz505zXSUnJyMnJwd79+41L7N+/XoYjUbzyZ/kd/HiRVy7dg316tUDwHqTgyAImDBhAn777TesX78eCQkJFq87cm5MTk7GoUOHLC5a1qxZg/DwcLRu3do7b8THVFVv1uzfvx8ALL5vqqw3uXvX0U2LFy8WAgMDhYULFwpHjx4VnnjiCSEyMtKixyTJZ/LkycLGjRuFtLQ0YevWrcKAAQOEOnXqCJmZmYIgCMJTTz0lNGjQQFi/fr2wZ88eITk5WUhOTpa51L7pxo0bQkpKipCSkiIAED766CMhJSVFOHfunCAIgvDuu+8KkZGRwu+//y4cPHhQuOOOO4SEhAShqKjIvI0hQ4YIHTt2FHbu3Cls2bJFaNasmfDAAw/I9ZZ8gr16u3HjhjBlyhRh+/btQlpamrB27VqhU6dOQrNmzYTi4mLzNlhv3jV+/HghIiJC2Lhxo5Cenm5+FBYWmpep6txYVlYmtGnTRhg0aJCwf/9+YeXKlULdunWFqVOnyvGWfEJV9Xbq1CnhrbfeEvbs2SOkpaUJv//+u9C4cWOhV69e5m2otd4Y+CrMnDlzhAYNGggBAQFC165dhR07dshdJPrHqFGjhHr16gkBAQFCXFycMGrUKOHUqVPm14uKioSnn35aqFmzphASEiLceeedQnp6uowl9l0bNmwQAFR6jBkzRhAEcUizN954Q4iOjhYCAwOF/v37C6mpqRbbuHbtmvDAAw8IYWFhQnh4uPDoo48KN27ckOHd+A579VZYWCgMGjRIqFu3rqDT6YSGDRsK48aNq9QwwHrzLmv1BUBYsGCBeRlHzo1nz54Vhg4dKgQHBwt16tQRJk+eLOj1ei+/G99RVb2dP39e6NWrl1CrVi0hMDBQaNq0qfDiiy8Kubm5FttRY71pBEEQvNe+TEREREQkD+b4EhEREZFPYOBLRERERD6BgS8RERER+QQGvkRERETkExj4EhEREZFPYOBLRERERD6BgS8RERER+QQGvkRERETkExj4EhFVQ2PHjsXIkSPlLgYRkaL4y10AIiJyjkajsfv6tGnT8Mknn4ATcxIRWWLgS0SkMunp6eb/L1myBG+++SZSU1PNz4WFhSEsLEyOohERKRpTHYiIVCYmJsb8iIiIgEajsXguLCysUqpDnz59MHHiRDz//POoWbMmoqOjMXfuXBQUFODRRx9FjRo10LRpU/z1118W+zp8+DCGDh2KsLAwREdH4+GHH8bVq1e9/I6JiKTBwJeIyEd89913qFOnDnbt2oWJEydi/PjxuPfee9GtWzfs27cPgwYNwsMPP4zCwkIAQE5ODvr164eOHTv+f3t36NJaFMBx/Dd1YBQUxCXLxHI35h9hsw6MhiWLVRCjYDfvP1jf0tLSLBqF/QEKM1nne+kJ8lZ8PBlyPp907wmXc9L5Xjjcm/v7+wyHwzw/P6fb7a54JQD/RvgCFKLdbufq6irNZjOXl5fZ3NzMzs5Oer1ems1mrq+vM5/P8/j4mCS5u7tLp9PJzc1NDg8P0+l00u/3Mx6P8/T0tOLVAHydM74AhWi1Wh/X6+vr2d7eTlVVH2O7u7tJkpeXlyTJw8NDxuPx0vPCs9ksBwcH3zxjgP9L+AIUol6vf7qv1Wqfxv58LeL9/T1J8vb2lpOTk9ze3v71rL29vW+cKcD3EL4ALHV0dJTBYJD9/f1sbNgugJ/PGV8Aljo/P8/r62tOT08znU4zm80yGo1ydnaWxWKx6ukBfJnwBWCpRqORyWSSxWKR4+PjVFWVi4uLbG1tZW3N9gH8PLVffu0DAEABvLIDAFAE4QsAQBGELwAARRC+AAAUQfgCAFAE4QsAQBGELwAARRC+AAAUQfgCAFAE4QsAQBGELwAARfgNb1sTnS8g5HQAAAAASUVORK5CYII=",
      "text/plain": [
       "<Figure size 800x600 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "import matplotlib.pyplot as plt\n",
    "\n",
    "# Calculate the rolling average\n",
    "window_size = 50  # Adjust this value as needed\n",
    "rolling_avg = df[df.columns[-1]].rolling(window=window_size).mean()\n",
    "\n",
    "# Plotting the original data points and the rolling average\n",
    "plt.figure(figsize=(8, 6))\n",
    "plt.plot(df['Time'], df[df.columns[-1]], alpha=0.3, color='blue', label='Original Data')\n",
    "plt.plot(df['Time'], rolling_avg, color='red', label='Rolling Average')\n",
    "plt.title('Line Plot with Rolling Average')\n",
    "plt.xlabel('Time')\n",
    "plt.ylabel('Amp')\n",
    "plt.legend()\n",
    "plt.grid(True)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Print Time-domain Features (Single CSV Real Data)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [
    {
     "ename": "NameError",
     "evalue": "name 'df' is not defined",
     "output_type": "error",
     "traceback": [
      "\u001b[1;31m---------------------------------------------------------------------------\u001b[0m",
      "\u001b[1;31mNameError\u001b[0m                                 Traceback (most recent call last)",
      "Cell \u001b[1;32mIn [2], line 10\u001b[0m\n\u001b[0;32m      6\u001b[0m \u001b[38;5;28;01mfrom\u001b[39;00m \u001b[38;5;21;01mtime_domain_features\u001b[39;00m \u001b[38;5;28;01mimport\u001b[39;00m FeatureExtractor\n\u001b[0;32m      9\u001b[0m \u001b[38;5;66;03m# Extract features\u001b[39;00m\n\u001b[1;32m---> 10\u001b[0m extracted \u001b[38;5;241m=\u001b[39m FeatureExtractor(\u001b[43mdf\u001b[49m[df\u001b[38;5;241m.\u001b[39mcolumns[\u001b[38;5;241m-\u001b[39m\u001b[38;5;241m1\u001b[39m]])\n\u001b[0;32m     12\u001b[0m \u001b[38;5;66;03m# Format with pandas DataFramw\u001b[39;00m\n\u001b[0;32m     13\u001b[0m features \u001b[38;5;241m=\u001b[39m pd\u001b[38;5;241m.\u001b[39mDataFrame(extracted\u001b[38;5;241m.\u001b[39mfeatures, index\u001b[38;5;241m=\u001b[39m[\u001b[38;5;241m0\u001b[39m])\n",
      "\u001b[1;31mNameError\u001b[0m: name 'df' is not defined"
     ]
    }
   ],
   "source": [
    "import pandas as pd\n",
    "import sys\n",
    "import os\n",
    "# Assuming the src directory is one level up from the notebooks directory\n",
    "sys.path.append('../src/features')\n",
    "from time_domain_features import FeatureExtractor\n",
    "\n",
    "\n",
    "# Extract features\n",
    "extracted = FeatureExtractor(df[df.columns[-1]])\n",
    "\n",
    "# Format with pandas DataFramw\n",
    "features = pd.DataFrame(extracted.features, index=[0])\n",
    "features\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Print Time-domain Features (Multiple CSV Real Data)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [],
   "source": [
    "import pandas as pd\n",
    "import sys\n",
    "import os\n",
    "import re\n",
    "# Assuming the src directory is one level up from the notebooks directory\n",
    "sys.path.append('../src/features')\n",
    "from time_domain_features import ExtractTimeFeatures # use wrapper function instead of class for easy use\n",
    "\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### The function"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Define a function to extract numbers from a filename that later used as labels features\n",
    "def extract_numbers(filename):\n",
    "    '''\n",
    "    Extract numbers from a filename\n",
    "\n",
    "    Parameters\n",
    "    ----------\n",
    "    filename : str\n",
    "        The filename to extract numbers from\n",
    "\n",
    "    Returns\n",
    "    -------\n",
    "    list\n",
    "        A list of extracted numbers: [damage_number, test_number, sensor_number]\n",
    "    '''\n",
    "    # Find all occurrences of one or more digits in the filename\n",
    "    numbers = re.findall(r'\\d+', filename)\n",
    "    # Convert the list of number strings to integers\n",
    "    numbers = [int(num) for num in numbers]\n",
    "    # Convert to a tuple and return\n",
    "    return numbers\n",
    "\n",
    "def build_features(input_dir:str, sensor:int=None, verbose:bool=False, absolute:bool=False):\n",
    "    all_features = []\n",
    "    for nth_damage in os.listdir(input_dir):\n",
    "        nth_damage_path = os.path.join(input_dir, nth_damage)\n",
    "        if verbose:\n",
    "            print(f'Extracting features from damage folder {nth_damage_path}')\n",
    "        if os.path.isdir(nth_damage_path):\n",
    "            for nth_test in os.listdir(nth_damage_path):\n",
    "                nth_test_path = os.path.join(nth_damage_path, nth_test)\n",
    "                # if verbose:\n",
    "                #     print(f'Extracting features from {nth_test_path}')\n",
    "                if sensor is not None:\n",
    "                    # Check if the file has the specified sensor suffix\n",
    "                    if not nth_test.endswith(f'_{sensor:02}.csv'):\n",
    "                        continue\n",
    "                # if verbose:\n",
    "                #     print(f'Extracting features from {nth_test_path}')\n",
    "                features = ExtractTimeFeatures(nth_test_path, absolute=absolute)  # return the one csv file feature in dictionary {}\n",
    "                if verbose:\n",
    "                    print(features)\n",
    "                features['label'] = extract_numbers(nth_test)[0]  # add labels to the dictionary\n",
    "                features['filename'] = nth_test  # add filename to the dictionary\n",
    "                all_features.append(features)\n",
    "\n",
    "    # Create a DataFrame from the list of dictionaries\n",
    "    df = pd.DataFrame(all_features)\n",
    "    return df"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### Execute the automation"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Extracting features from damage folder D:/thesis/data/converted/raw\\DAMAGE_1\n",
      "{'Mean': 0.10861195383566818, 'Max': 0.6626305, 'Peak (Pm)': 0.6626305, 'Peak-to-Peak (Pk)': 0.6626301647239, 'RMS': 0.1362702190299897, 'Variance': 0.006773016078480047, 'Standard Deviation': 0.08229849279107779, 'Power': 0.018569572594481366, 'Crest Factor': 4.862621523006222, 'Form Factor': 1.2546521282194127, 'Pulse Indicator': 6.1008984425652795, 'Margin': 2.1849538435504186, 'Kurtosis': 3.919854893349945, 'Skewness': 1.007743082500558}\n",
      "{'Mean': 0.11623915835130644, 'Max': 0.7143209, 'Peak (Pm)': 0.7143209, 'Peak-to-Peak (Pk)': 0.714317081577, 'RMS': 0.14557249700238117, 'Variance': 0.007679809949288185, 'Standard Deviation': 0.08763469202126355, 'Power': 0.021191351883508274, 'Crest Factor': 4.906977036935182, 'Form Factor': 1.252353329696533, 'Pulse Indicator': 6.145269030950202, 'Margin': 2.2755535142432146, 'Kurtosis': 3.8587318804757156, 'Skewness': 0.9900509098017531}\n",
      "{'Mean': 0.13169360386502754, 'Max': 0.7278727, 'Peak (Pm)': 0.7278727, 'Peak-to-Peak (Pk)': 0.7278717090728001, 'RMS': 0.165006915629019, 'Variance': 0.009884076906443402, 'Standard Deviation': 0.09941888458181482, 'Power': 0.027227282205402194, 'Crest Factor': 4.411164812246163, 'Form Factor': 1.252960742103574, 'Pulse Indicator': 5.527016336693125, 'Margin': 2.1792802291177393, 'Kurtosis': 3.8114911905130944, 'Skewness': 0.982200250854774}\n",
      "{'Mean': 0.09661585577317759, 'Max': 0.637569, 'Peak (Pm)': 0.637569, 'Peak-to-Peak (Pk)': 0.6375680165234, 'RMS': 0.12090799377123415, 'Variance': 0.005284119371001339, 'Standard Deviation': 0.07269208711043344, 'Power': 0.014618742957784795, 'Crest Factor': 5.273174916840671, 'Form Factor': 1.2514301384970035, 'Pulse Indicator': 6.599010016500847, 'Margin': 2.226963805106291, 'Kurtosis': 3.8537568548482435, 'Skewness': 0.9884607076084054}\n",
      "{'Mean': 0.10477218863539046, 'Max': 0.5852444, 'Peak (Pm)': 0.5852444, 'Peak-to-Peak (Pk)': 0.585243042132, 'RMS': 0.13144029417868638, 'Variance': 0.006299339422329772, 'Standard Deviation': 0.07936852935884586, 'Power': 0.017276550933779614, 'Crest Factor': 4.452549377319485, 'Form Factor': 1.2545342031185538, 'Pulse Indicator': 5.585875484921513, 'Margin': 1.9649866646054637, 'Kurtosis': 3.8961900684995965, 'Skewness': 1.0029874458566062}\n",
      "Extracting features from damage folder D:/thesis/data/converted/raw\\DAMAGE_2\n",
      "{'Mean': 0.12497037861765337, 'Max': 0.7776651, 'Peak (Pm)': 0.7776651, 'Peak-to-Peak (Pk)': 0.777661411963, 'RMS': 0.15703024768091647, 'Variance': 0.009040903154890338, 'Standard Deviation': 0.09508384533380004, 'Power': 0.024658498686729976, 'Crest Factor': 4.952326774521848, 'Form Factor': 1.256539745001095, 'Pulse Indicator': 6.222795422419779, 'Margin': 2.3914494217651483, 'Kurtosis': 4.032440140263064, 'Skewness': 1.0319214890804242}\n",
      "{'Mean': 0.13005910769041173, 'Max': 0.7801023, 'Peak (Pm)': 0.7801023, 'Peak-to-Peak (Pk)': 0.7800990962500001, 'RMS': 0.1629113530481945, 'Variance': 0.009624737458767352, 'Standard Deviation': 0.09810593343171012, 'Power': 0.026540108951993477, 'Crest Factor': 4.788507893426066, 'Form Factor': 1.2525947312815888, 'Pulse Indicator': 5.99805975800579, 'Margin': 2.3491353605498797, 'Kurtosis': 3.9272842826957364, 'Skewness': 1.003737972554312}\n",
      "{'Mean': 0.1475255812977528, 'Max': 0.8284533, 'Peak (Pm)': 0.8284533, 'Peak-to-Peak (Pk)': 0.8284528566905, 'RMS': 0.18490495831144427, 'Variance': 0.012426046470917055, 'Standard Deviation': 0.11147239063052429, 'Power': 0.03418984360815694, 'Crest Factor': 4.480427715759771, 'Form Factor': 1.2533755616136035, 'Pulse Indicator': 5.615658604509559, 'Margin': 2.343746706467838, 'Kurtosis': 3.8865184090917633, 'Skewness': 0.9950479548147393}\n",
      "{'Mean': 0.11302540016105272, 'Max': 0.7604433, 'Peak (Pm)': 0.7604433, 'Peak-to-Peak (Pk)': 0.7604430504056, 'RMS': 0.14168733498902872, 'Variance': 0.007300559814727143, 'Standard Deviation': 0.08544347642953898, 'Power': 0.020075300896293242, 'Crest Factor': 5.367052037917739, 'Form Factor': 1.2535884392989087, 'Pulse Indicator': 6.728074387849327, 'Margin': 2.457804091403889, 'Kurtosis': 3.8747101916317725, 'Skewness': 0.9953841170354235}\n",
      "{'Mean': 0.12031705692582279, 'Max': 0.6917691, 'Peak (Pm)': 0.6917691, 'Peak-to-Peak (Pk)': 0.6917687423721001, 'RMS': 0.1509157231480295, 'Variance': 0.008299361306001004, 'Standard Deviation': 0.09110100419750283, 'Power': 0.02277555549329269, 'Crest Factor': 4.583810656504364, 'Form Factor': 1.2543169439481157, 'Pulse Indicator': 5.74955137430336, 'Margin': 2.167332528548143, 'Kurtosis': 3.8900652931172375, 'Skewness': 1.0010868882541832}\n",
      "Extracting features from damage folder D:/thesis/data/converted/raw\\DAMAGE_3\n",
      "{'Mean': 0.13485452260647166, 'Max': 0.7967038, 'Peak (Pm)': 0.7967038, 'Peak-to-Peak (Pk)': 0.7967000896109999, 'RMS': 0.16884091104965937, 'Variance': 0.01032151097665961, 'Standard Deviation': 0.10159503113046281, 'Power': 0.028507253244078986, 'Crest Factor': 4.718665606854455, 'Form Factor': 1.252022607668604, 'Pulse Indicator': 5.907876017810071, 'Margin': 2.3556475344978147, 'Kurtosis': 3.910439758246949, 'Skewness': 0.999919645919606}\n",
      "{'Mean': 0.13534608053086036, 'Max': 0.8287752, 'Peak (Pm)': 0.8287752, 'Peak-to-Peak (Pk)': 0.82877160137, 'RMS': 0.16929145862040224, 'Variance': 0.010341036446757235, 'Standard Deviation': 0.1016910807051516, 'Power': 0.02865959796182336, 'Crest Factor': 4.895552361317535, 'Form Factor': 1.250804293381824, 'Pulse Indicator': 6.1233779120115, 'Margin': 2.446085789562267, 'Kurtosis': 3.8043775644466598, 'Skewness': 0.9745356265753446}\n",
      "{'Mean': 0.12965173720783296, 'Max': 0.7944632, 'Peak (Pm)': 0.7944632, 'Peak-to-Peak (Pk)': 0.794461799291, 'RMS': 0.1625625135017677, 'Variance': 0.009616997835003433, 'Standard Deviation': 0.09806648011027351, 'Power': 0.02642657079601241, 'Crest Factor': 4.887124238463261, 'Form Factor': 1.2538398405042461, 'Pulse Indicator': 6.12767107567921, 'Margin': 2.3967788349063155, 'Kurtosis': 3.9299593609147108, 'Skewness': 1.0100293414443062}\n",
      "{'Mean': 0.12927070001654023, 'Max': 0.7135901, 'Peak (Pm)': 0.7135901, 'Peak-to-Peak (Pk)': 0.713587194274, 'RMS': 0.16207233854213446, 'Variance': 0.009556529037749908, 'Standard Deviation': 0.09775768764293288, 'Power': 0.02626744292051624, 'Crest Factor': 4.402911110056487, 'Form Factor': 1.2537437990310043, 'Pulse Indicator': 5.520122501918037, 'Margin': 2.1564501310909345, 'Kurtosis': 3.8463393062274327, 'Skewness': 0.9942778392052645}\n",
      "{'Mean': 0.12205282863992185, 'Max': 0.7488455, 'Peak (Pm)': 0.7488455, 'Peak-to-Peak (Pk)': 0.748844073214, 'RMS': 0.15292709505145338, 'Variance': 0.008489803421870123, 'Standard Deviation': 0.0921403050144024, 'Power': 0.02338669640087626, 'Crest Factor': 4.896748347623067, 'Form Factor': 1.2529582210881507, 'Pulse Indicator': 6.13542109875414, 'Margin': 2.328524868575274, 'Kurtosis': 3.888181107124967, 'Skewness': 0.9948432322300108}\n",
      "Extracting features from damage folder D:/thesis/data/converted/raw\\DAMAGE_4\n",
      "{'Mean': 0.1348985423972359, 'Max': 0.7442828, 'Peak (Pm)': 0.7442828, 'Peak-to-Peak (Pk)': 0.74428273294477, 'RMS': 0.1690262994991522, 'Variance': 0.010372273181478256, 'Standard Deviation': 0.10184455188601045, 'Power': 0.028569889922377106, 'Crest Factor': 4.403354993899828, 'Form Factor': 1.2529883310482353, 'Pulse Indicator': 5.5173524248194585, 'Margin': 2.2012696204227113, 'Kurtosis': 3.8365956916488058, 'Skewness': 0.9905276898175764}\n",
      "{'Mean': 0.14510613903620495, 'Max': 0.8217714, 'Peak (Pm)': 0.8217714, 'Peak-to-Peak (Pk)': 0.821766117538, 'RMS': 0.18214987905659388, 'Variance': 0.012122786854337349, 'Standard Deviation': 0.11010373789954651, 'Power': 0.03317857844033178, 'Crest Factor': 4.511512191258036, 'Form Factor': 1.2552872005721707, 'Pulse Indicator': 5.663243508911519, 'Margin': 2.3449707893701555, 'Kurtosis': 3.9264058536459627, 'Skewness': 1.0086993584407087}\n",
      "{'Mean': 0.14042345745259668, 'Max': 0.8320401, 'Peak (Pm)': 0.8320401, 'Peak-to-Peak (Pk)': 0.832036926053, 'RMS': 0.1758869327443254, 'Variance': 0.01121746570726563, 'Standard Deviation': 0.10591274002133957, 'Power': 0.03093621311020685, 'Crest Factor': 4.730539597330285, 'Form Factor': 1.2525466609003006, 'Pulse Indicator': 5.9252215768927, 'Margin': 2.4119301890810863, 'Kurtosis': 3.838116517553205, 'Skewness': 0.9850437876604308}\n",
      "{'Mean': 0.11460818733158669, 'Max': 0.6532164, 'Peak (Pm)': 0.6532164, 'Peak-to-Peak (Pk)': 0.653214658427, 'RMS': 0.14361795378567382, 'Variance': 0.007491080046151867, 'Standard Deviation': 0.08655119076345777, 'Power': 0.020626116649583946, 'Crest Factor': 4.54829206782056, 'Form Factor': 1.2531212396733533, 'Pulse Indicator': 5.69956139442378, 'Margin': 2.096257507768814, 'Kurtosis': 3.857070685851107, 'Skewness': 0.9915957364474681}\n",
      "{'Mean': 0.124037125448541, 'Max': 0.6669507, 'Peak (Pm)': 0.6669507, 'Peak-to-Peak (Pk)': 0.66694659473, 'RMS': 0.15547548985491688, 'Variance': 0.00878741945608928, 'Standard Deviation': 0.09374141548797948, 'Power': 0.02417262794562636, 'Crest Factor': 4.289748182317162, 'Form Factor': 1.25345931141736, 'Pulse Indicator': 5.377024802761141, 'Margin': 2.0572986524988806, 'Kurtosis': 3.849466048284523, 'Skewness': 0.995403286474657}\n",
      "Extracting features from damage folder D:/thesis/data/converted/raw\\DAMAGE_1\n",
      "{'Mean': 0.10156844026347414, 'Max': 0.5918152, 'Peak (Pm)': 0.5918152, 'Peak-to-Peak (Pk)': 0.591812204867, 'RMS': 0.1273105747526182, 'Variance': 0.005891834386287069, 'Standard Deviation': 0.07675843186271504, 'Power': 0.016207982443841983, 'Crest Factor': 4.648594204762468, 'Form Factor': 1.253446192757982, 'Pulse Indicator': 5.826762707636336, 'Margin': 2.0169392631404075, 'Kurtosis': 3.959306012781492, 'Skewness': 1.0117955332012372}\n",
      "{'Mean': 0.113565465533875, 'Max': 0.6988725, 'Peak (Pm)': 0.6988725, 'Peak-to-Peak (Pk)': 0.6988722802079, 'RMS': 0.1422862926904231, 'Variance': 0.007348274125658988, 'Standard Deviation': 0.08572223840587731, 'Power': 0.020245389087584748, 'Crest Factor': 4.911734551412901, 'Form Factor': 1.2529010647869978, 'Pulse Indicator': 6.153917449416311, 'Margin': 2.2528929044415698, 'Kurtosis': 3.912502434315609, 'Skewness': 0.9991676576325043}\n",
      "{'Mean': 0.1420653413098863, 'Max': 0.9292531, 'Peak (Pm)': 0.9292531, 'Peak-to-Peak (Pk)': 0.9292488680700001, 'RMS': 0.17837248381965012, 'Variance': 0.011634181782496858, 'Standard Deviation': 0.10786207008822375, 'Power': 0.03181674298399135, 'Crest Factor': 5.209621350227732, 'Form Factor': 1.2555665032371779, 'Pulse Indicator': 6.541026061895179, 'Margin': 2.6794066535741035, 'Kurtosis': 4.034122863128545, 'Skewness': 1.0306896401255596}\n",
      "{'Mean': 0.12715541143100562, 'Max': 0.755228, 'Peak (Pm)': 0.755228, 'Peak-to-Peak (Pk)': 0.7552274523823, 'RMS': 0.15931024345213565, 'Variance': 0.009211255012590408, 'Standard Deviation': 0.09597546640161642, 'Power': 0.025379753668778728, 'Crest Factor': 4.7406116746466855, 'Form Factor': 1.252878203603448, 'Pulse Indicator': 5.939409038912873, 'Margin': 2.3013726266794055, 'Kurtosis': 3.8473907089318957, 'Skewness': 0.9841215072981665}\n",
      "{'Mean': 0.11282508323444447, 'Max': 0.6920146, 'Peak (Pm)': 0.6920146, 'Peak-to-Peak (Pk)': 0.692013584858, 'RMS': 0.1412843411260445, 'Variance': 0.007231765640561178, 'Standard Deviation': 0.08503995077472862, 'Power': 0.019961265047420507, 'Crest Factor': 4.898027583839816, 'Form Factor': 1.2522422946718612, 'Pulse Indicator': 6.133517300953644, 'Margin': 2.236725107476516, 'Kurtosis': 3.8768643279888915, 'Skewness': 0.9978586119085865}\n",
      "Extracting features from damage folder D:/thesis/data/converted/raw\\DAMAGE_2\n",
      "{'Mean': 0.10339165422013737, 'Max': 0.5797505, 'Peak (Pm)': 0.5797505, 'Peak-to-Peak (Pk)': 0.5797478997469999, 'RMS': 0.12968834598537562, 'Variance': 0.006129232922046042, 'Standard Deviation': 0.0782895670149765, 'Power': 0.016819067084422497, 'Crest Factor': 4.470336140036637, 'Form Factor': 1.2543405651412483, 'Pulse Indicator': 5.607323960264901, 'Margin': 1.9590883401151484, 'Kurtosis': 3.8925336120016634, 'Skewness': 1.0055286250182225}\n",
      "{'Mean': 0.11170525817450622, 'Max': 0.6756481, 'Peak (Pm)': 0.6756481, 'Peak-to-Peak (Pk)': 0.6756477926636, 'RMS': 0.1402657999449104, 'Variance': 0.007196429930352545, 'Standard Deviation': 0.08483193610170386, 'Power': 0.01967449463418563, 'Crest Factor': 4.816912606389881, 'Form Factor': 1.2556776846241815, 'Pulse Indicator': 6.048489668628678, 'Margin': 2.1975471976374075, 'Kurtosis': 3.946993397416747, 'Skewness': 1.015142673401272}\n",
      "{'Mean': 0.13263974760952524, 'Max': 0.814953, 'Peak (Pm)': 0.814953, 'Peak-to-Peak (Pk)': 0.8149497962500001, 'RMS': 0.16625709306754788, 'Variance': 0.010048118349352715, 'Standard Deviation': 0.10024049421354, 'Power': 0.02764142099527128, 'Crest Factor': 4.901763798245265, 'Form Factor': 1.2534485029102127, 'Pulse Indicator': 6.1441084945300055, 'Margin': 2.4308595525011776, 'Kurtosis': 3.9399687799493504, 'Skewness': 1.0080458071768004}\n",
      "{'Mean': 0.12216895282513461, 'Max': 0.7196078, 'Peak (Pm)': 0.7196078, 'Peak-to-Peak (Pk)': 0.719607684516, 'RMS': 0.15299253723022288, 'Variance': 0.008481463413751179, 'Standard Deviation': 0.09209503661008728, 'Power': 0.023406716448141133, 'Crest Factor': 4.703548375808263, 'Form Factor': 1.252302927153737, 'Pulse Indicator': 5.890267399033893, 'Margin': 2.235990216835229, 'Kurtosis': 3.819405501957601, 'Skewness': 0.9867116302405707}\n",
      "{'Mean': 0.11359081495079595, 'Max': 0.6528962, 'Peak (Pm)': 0.6528962, 'Peak-to-Peak (Pk)': 0.6528942255960001, 'RMS': 0.14220565540682817, 'Variance': 0.007319575188499572, 'Standard Deviation': 0.08555467906944692, 'Power': 0.020222448429685555, 'Crest Factor': 4.591211215420132, 'Form Factor': 1.2519115693326726, 'Pulse Indicator': 5.747790437834385, 'Margin': 2.1038145838382705, 'Kurtosis': 3.8560484852701475, 'Skewness': 0.9885476564081916}\n",
      "Extracting features from damage folder D:/thesis/data/converted/raw\\DAMAGE_3\n",
      "{'Mean': 0.10196578434687417, 'Max': 0.6369753, 'Peak (Pm)': 0.6369753, 'Peak-to-Peak (Pk)': 0.6369715262810001, 'RMS': 0.12773594252827294, 'Variance': 0.005919449836112997, 'Standard Deviation': 0.07693810770479334, 'Power': 0.016316471013586246, 'Crest Factor': 4.986656749794699, 'Form Factor': 1.2527333884250043, 'Pulse Indicator': 6.246951407082732, 'Margin': 2.166322112675606, 'Kurtosis': 3.934673461331923, 'Skewness': 1.0052070033962466}\n",
      "{'Mean': 0.11744228287785688, 'Max': 0.6533219, 'Peak (Pm)': 0.6533219, 'Peak-to-Peak (Pk)': 0.6533210394579, 'RMS': 0.1471860602460746, 'Variance': 0.007871046523198552, 'Standard Deviation': 0.08871908785085249, 'Power': 0.021663736330761102, 'Crest Factor': 4.438748471884747, 'Form Factor': 1.253262935966189, 'Pulse Indicator': 5.562918941889714, 'Margin': 2.0719719014709344, 'Kurtosis': 3.754108047119902, 'Skewness': 0.9725421131508118}\n",
      "{'Mean': 0.15822032481110554, 'Max': 1.001901, 'Peak (Pm)': 1.001901, 'Peak-to-Peak (Pk)': 1.0018982991649998, 'RMS': 0.19846256347765465, 'Variance': 0.014353717918790353, 'Standard Deviation': 0.11980723131053735, 'Power': 0.0393873891021221, 'Crest Factor': 5.048312298519747, 'Form Factor': 1.2543430416704877, 'Pulse Indicator': 6.33231540382779, 'Margin': 2.736851348421886, 'Kurtosis': 3.8465793715639047, 'Skewness': 0.9984709367532942}\n",
      "{'Mean': 0.12882220442628775, 'Max': 0.764375, 'Peak (Pm)': 0.764375, 'Peak-to-Peak (Pk)': 0.764373942018, 'RMS': 0.16163067307431705, 'Variance': 0.00952931412520849, 'Standard Deviation': 0.09761839210381601, 'Power': 0.02612447447845676, 'Crest Factor': 4.729145684176814, 'Form Factor': 1.2546802299661186, 'Pulse Indicator': 5.933565594566242, 'Margin': 2.3146302669231273, 'Kurtosis': 3.905827651186329, 'Skewness': 1.0044883208272095}\n",
      "{'Mean': 0.10866713547178677, 'Max': 0.6170025, 'Peak (Pm)': 0.6170025, 'Peak-to-Peak (Pk)': 0.6170015984797, 'RMS': 0.13617995217916362, 'Variance': 0.006736433043875629, 'Standard Deviation': 0.08207593277888713, 'Power': 0.01854497937551929, 'Crest Factor': 4.530788050125378, 'Form Factor': 1.2531843375453657, 'Pulse Indicator': 5.677912621154832, 'Margin': 2.033717161471145, 'Kurtosis': 3.8459234859936693, 'Skewness': 0.9890789795516307}\n",
      "Extracting features from damage folder D:/thesis/data/converted/raw\\DAMAGE_4\n",
      "{'Mean': 0.10234762767093783, 'Max': 0.5506368, 'Peak (Pm)': 0.5506368, 'Peak-to-Peak (Pk)': 0.5506367143183201, 'RMS': 0.12818522987371672, 'Variance': 0.005956416267908684, 'Standard Deviation': 0.07717796958981811, 'Power': 0.0164314531577776, 'Crest Factor': 4.29563375236341, 'Form Factor': 1.2524494489100466, 'Pulse Indicator': 5.380064125866949, 'Margin': 1.8701294186586008, 'Kurtosis': 3.796271247560618, 'Skewness': 0.9771788926839773}\n",
      "{'Mean': 0.13709221528798035, 'Max': 0.7885605, 'Peak (Pm)': 0.7885605, 'Peak-to-Peak (Pk)': 0.7885602559935, 'RMS': 0.1717757508437296, 'Variance': 0.010712633085361108, 'Standard Deviation': 0.10350204805280439, 'Power': 0.02950690857792707, 'Crest Factor': 4.590639226588979, 'Form Factor': 1.2529942016247377, 'Pulse Indicator': 5.752044332667061, 'Margin': 2.313529340377086, 'Kurtosis': 3.875476218044351, 'Skewness': 0.9957141824232535}\n",
      "{'Mean': 0.15569679664937916, 'Max': 0.8665391, 'Peak (Pm)': 0.8665391, 'Peak-to-Peak (Pk)': 0.866534830817, 'RMS': 0.19506420041417172, 'Variance': 0.013808549796342036, 'Standard Deviation': 0.11751001009352807, 'Power': 0.038050042283220155, 'Crest Factor': 4.442327696010408, 'Form Factor': 1.252846587803896, 'Pulse Indicator': 5.565555095853382, 'Margin': 2.385612230408672, 'Kurtosis': 3.8465728045369842, 'Skewness': 0.9910407218201748}\n",
      "{'Mean': 0.12379243327586324, 'Max': 0.7413595, 'Peak (Pm)': 0.7413595, 'Peak-to-Peak (Pk)': 0.741358423391, 'RMS': 0.1555196869879253, 'Variance': 0.008861806504463193, 'Standard Deviation': 0.09413734811343555, 'Power': 0.024186373040822256, 'Crest Factor': 4.766981688032589, 'Form Factor': 1.2562939662181125, 'Pulse Indicator': 5.988730331747575, 'Margin': 2.2912655142745573, 'Kurtosis': 3.919118444626193, 'Skewness': 1.0092079074325853}\n",
      "{'Mean': 0.11010352143013252, 'Max': 0.6074951, 'Peak (Pm)': 0.6074951, 'Peak-to-Peak (Pk)': 0.6074940457429999, 'RMS': 0.13797500828702497, 'Variance': 0.006914317480488955, 'Standard Deviation': 0.08315253367587891, 'Power': 0.019037102911804608, 'Crest Factor': 4.402935774689337, 'Form Factor': 1.253138923213992, 'Pulse Indicator': 5.51749019567456, 'Margin': 1.9889851026106096, 'Kurtosis': 3.814381021124157, 'Skewness': 0.9874332195185267}\n"
     ]
    }
   ],
   "source": [
    "data_dir = \"D:/thesis/data/converted/raw\"\n",
    "# Extract features\n",
    "df1 = build_features(data_dir, sensor=1, verbose=True, absolute=True)\n",
    "df2 = build_features(data_dir, sensor=2, verbose=True, absolute=True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
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       "\n",
       "    .dataframe tbody tr th {\n",
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       "    }\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>Mean</th>\n",
       "      <th>Max</th>\n",
       "      <th>Peak (Pm)</th>\n",
       "      <th>Peak-to-Peak (Pk)</th>\n",
       "      <th>RMS</th>\n",
       "      <th>Variance</th>\n",
       "      <th>Standard Deviation</th>\n",
       "      <th>Power</th>\n",
       "      <th>Crest Factor</th>\n",
       "      <th>Form Factor</th>\n",
       "      <th>Pulse Indicator</th>\n",
       "      <th>Margin</th>\n",
       "      <th>Kurtosis</th>\n",
       "      <th>Skewness</th>\n",
       "      <th>label</th>\n",
       "      <th>filename</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>0.108612</td>\n",
       "      <td>0.662631</td>\n",
       "      <td>0.662631</td>\n",
       "      <td>0.662630</td>\n",
       "      <td>0.136270</td>\n",
       "      <td>0.006773</td>\n",
       "      <td>0.082298</td>\n",
       "      <td>0.018570</td>\n",
       "      <td>4.862622</td>\n",
       "      <td>1.254652</td>\n",
       "      <td>6.100898</td>\n",
       "      <td>2.184954</td>\n",
       "      <td>3.919855</td>\n",
       "      <td>1.007743</td>\n",
       "      <td>1</td>\n",
       "      <td>D1_TEST01_01.csv</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>0.116239</td>\n",
       "      <td>0.714321</td>\n",
       "      <td>0.714321</td>\n",
       "      <td>0.714317</td>\n",
       "      <td>0.145572</td>\n",
       "      <td>0.007680</td>\n",
       "      <td>0.087635</td>\n",
       "      <td>0.021191</td>\n",
       "      <td>4.906977</td>\n",
       "      <td>1.252353</td>\n",
       "      <td>6.145269</td>\n",
       "      <td>2.275554</td>\n",
       "      <td>3.858732</td>\n",
       "      <td>0.990051</td>\n",
       "      <td>1</td>\n",
       "      <td>D1_TEST02_01.csv</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>0.131694</td>\n",
       "      <td>0.727873</td>\n",
       "      <td>0.727873</td>\n",
       "      <td>0.727872</td>\n",
       "      <td>0.165007</td>\n",
       "      <td>0.009884</td>\n",
       "      <td>0.099419</td>\n",
       "      <td>0.027227</td>\n",
       "      <td>4.411165</td>\n",
       "      <td>1.252961</td>\n",
       "      <td>5.527016</td>\n",
       "      <td>2.179280</td>\n",
       "      <td>3.811491</td>\n",
       "      <td>0.982200</td>\n",
       "      <td>1</td>\n",
       "      <td>D1_TEST03_01.csv</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>0.096616</td>\n",
       "      <td>0.637569</td>\n",
       "      <td>0.637569</td>\n",
       "      <td>0.637568</td>\n",
       "      <td>0.120908</td>\n",
       "      <td>0.005284</td>\n",
       "      <td>0.072692</td>\n",
       "      <td>0.014619</td>\n",
       "      <td>5.273175</td>\n",
       "      <td>1.251430</td>\n",
       "      <td>6.599010</td>\n",
       "      <td>2.226964</td>\n",
       "      <td>3.853757</td>\n",
       "      <td>0.988461</td>\n",
       "      <td>1</td>\n",
       "      <td>D1_TEST04_01.csv</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>0.104772</td>\n",
       "      <td>0.585244</td>\n",
       "      <td>0.585244</td>\n",
       "      <td>0.585243</td>\n",
       "      <td>0.131440</td>\n",
       "      <td>0.006299</td>\n",
       "      <td>0.079369</td>\n",
       "      <td>0.017277</td>\n",
       "      <td>4.452549</td>\n",
       "      <td>1.254534</td>\n",
       "      <td>5.585875</td>\n",
       "      <td>1.964987</td>\n",
       "      <td>3.896190</td>\n",
       "      <td>1.002987</td>\n",
       "      <td>1</td>\n",
       "      <td>D1_TEST05_01.csv</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "       Mean       Max  Peak (Pm)  Peak-to-Peak (Pk)       RMS  Variance  \\\n",
       "0  0.108612  0.662631   0.662631           0.662630  0.136270  0.006773   \n",
       "1  0.116239  0.714321   0.714321           0.714317  0.145572  0.007680   \n",
       "2  0.131694  0.727873   0.727873           0.727872  0.165007  0.009884   \n",
       "3  0.096616  0.637569   0.637569           0.637568  0.120908  0.005284   \n",
       "4  0.104772  0.585244   0.585244           0.585243  0.131440  0.006299   \n",
       "\n",
       "   Standard Deviation     Power  Crest Factor  Form Factor  Pulse Indicator  \\\n",
       "0            0.082298  0.018570      4.862622     1.254652         6.100898   \n",
       "1            0.087635  0.021191      4.906977     1.252353         6.145269   \n",
       "2            0.099419  0.027227      4.411165     1.252961         5.527016   \n",
       "3            0.072692  0.014619      5.273175     1.251430         6.599010   \n",
       "4            0.079369  0.017277      4.452549     1.254534         5.585875   \n",
       "\n",
       "     Margin  Kurtosis  Skewness  label          filename  \n",
       "0  2.184954  3.919855  1.007743      1  D1_TEST01_01.csv  \n",
       "1  2.275554  3.858732  0.990051      1  D1_TEST02_01.csv  \n",
       "2  2.179280  3.811491  0.982200      1  D1_TEST03_01.csv  \n",
       "3  2.226964  3.853757  0.988461      1  D1_TEST04_01.csv  \n",
       "4  1.964987  3.896190  1.002987      1  D1_TEST05_01.csv  "
      ]
     },
     "execution_count": 4,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df1.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 808.875x750 with 12 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "import seaborn as sns\n",
    "import matplotlib.pyplot as plt\n",
    "\n",
    "# Assuming your DataFrame is named 'df'\n",
    "\n",
    "# Subsetting the DataFrame to include only the first 3 columns and the label\n",
    "subset_df = df1[['Mean', 'Max', 'Peak (Pm)', 'label']]\n",
    "\n",
    "# Plotting the pairplot\n",
    "g = sns.pairplot(subset_df, hue='label', diag_kind='kde')\n",
    "\n",
    "# Adjusting the axis limits\n",
    "# for ax in g.axes.flatten():\n",
    "#     ax.set_xlim(-10, 10)  # Adjust these limits based on your data\n",
    "#     ax.set_ylim(-10, 10)  # Adjust these limits based on your data\n",
    "\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "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>Mean</th>\n",
       "      <th>Max</th>\n",
       "      <th>Peak (Pm)</th>\n",
       "      <th>Peak-to-Peak (Pk)</th>\n",
       "      <th>RMS</th>\n",
       "      <th>Variance</th>\n",
       "      <th>Standard Deviation</th>\n",
       "      <th>Power</th>\n",
       "      <th>Crest Factor</th>\n",
       "      <th>Form Factor</th>\n",
       "      <th>Pulse Indicator</th>\n",
       "      <th>Margin</th>\n",
       "      <th>Kurtosis</th>\n",
       "      <th>Skewness</th>\n",
       "      <th>label</th>\n",
       "      <th>filename</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>0.101568</td>\n",
       "      <td>0.591815</td>\n",
       "      <td>0.591815</td>\n",
       "      <td>0.591812</td>\n",
       "      <td>0.127311</td>\n",
       "      <td>0.005892</td>\n",
       "      <td>0.076758</td>\n",
       "      <td>0.016208</td>\n",
       "      <td>4.648594</td>\n",
       "      <td>1.253446</td>\n",
       "      <td>5.826763</td>\n",
       "      <td>2.016939</td>\n",
       "      <td>3.959306</td>\n",
       "      <td>1.011796</td>\n",
       "      <td>1</td>\n",
       "      <td>D1_TEST1_02.csv</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>0.113565</td>\n",
       "      <td>0.698873</td>\n",
       "      <td>0.698873</td>\n",
       "      <td>0.698872</td>\n",
       "      <td>0.142286</td>\n",
       "      <td>0.007348</td>\n",
       "      <td>0.085722</td>\n",
       "      <td>0.020245</td>\n",
       "      <td>4.911735</td>\n",
       "      <td>1.252901</td>\n",
       "      <td>6.153917</td>\n",
       "      <td>2.252893</td>\n",
       "      <td>3.912502</td>\n",
       "      <td>0.999168</td>\n",
       "      <td>1</td>\n",
       "      <td>D1_TEST2_02.csv</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>0.142065</td>\n",
       "      <td>0.929253</td>\n",
       "      <td>0.929253</td>\n",
       "      <td>0.929249</td>\n",
       "      <td>0.178372</td>\n",
       "      <td>0.011634</td>\n",
       "      <td>0.107862</td>\n",
       "      <td>0.031817</td>\n",
       "      <td>5.209621</td>\n",
       "      <td>1.255567</td>\n",
       "      <td>6.541026</td>\n",
       "      <td>2.679407</td>\n",
       "      <td>4.034123</td>\n",
       "      <td>1.030690</td>\n",
       "      <td>1</td>\n",
       "      <td>D1_TEST3_02.csv</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>0.127155</td>\n",
       "      <td>0.755228</td>\n",
       "      <td>0.755228</td>\n",
       "      <td>0.755227</td>\n",
       "      <td>0.159310</td>\n",
       "      <td>0.009211</td>\n",
       "      <td>0.095975</td>\n",
       "      <td>0.025380</td>\n",
       "      <td>4.740612</td>\n",
       "      <td>1.252878</td>\n",
       "      <td>5.939409</td>\n",
       "      <td>2.301373</td>\n",
       "      <td>3.847391</td>\n",
       "      <td>0.984122</td>\n",
       "      <td>1</td>\n",
       "      <td>D1_TEST4_02.csv</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>0.112825</td>\n",
       "      <td>0.692015</td>\n",
       "      <td>0.692015</td>\n",
       "      <td>0.692014</td>\n",
       "      <td>0.141284</td>\n",
       "      <td>0.007232</td>\n",
       "      <td>0.085040</td>\n",
       "      <td>0.019961</td>\n",
       "      <td>4.898028</td>\n",
       "      <td>1.252242</td>\n",
       "      <td>6.133517</td>\n",
       "      <td>2.236725</td>\n",
       "      <td>3.876864</td>\n",
       "      <td>0.997859</td>\n",
       "      <td>1</td>\n",
       "      <td>D1_TEST5_02.csv</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "       Mean       Max  Peak (Pm)  Peak-to-Peak (Pk)       RMS  Variance  \\\n",
       "0  0.101568  0.591815   0.591815           0.591812  0.127311  0.005892   \n",
       "1  0.113565  0.698873   0.698873           0.698872  0.142286  0.007348   \n",
       "2  0.142065  0.929253   0.929253           0.929249  0.178372  0.011634   \n",
       "3  0.127155  0.755228   0.755228           0.755227  0.159310  0.009211   \n",
       "4  0.112825  0.692015   0.692015           0.692014  0.141284  0.007232   \n",
       "\n",
       "   Standard Deviation     Power  Crest Factor  Form Factor  Pulse Indicator  \\\n",
       "0            0.076758  0.016208      4.648594     1.253446         5.826763   \n",
       "1            0.085722  0.020245      4.911735     1.252901         6.153917   \n",
       "2            0.107862  0.031817      5.209621     1.255567         6.541026   \n",
       "3            0.095975  0.025380      4.740612     1.252878         5.939409   \n",
       "4            0.085040  0.019961      4.898028     1.252242         6.133517   \n",
       "\n",
       "     Margin  Kurtosis  Skewness  label         filename  \n",
       "0  2.016939  3.959306  1.011796      1  D1_TEST1_02.csv  \n",
       "1  2.252893  3.912502  0.999168      1  D1_TEST2_02.csv  \n",
       "2  2.679407  4.034123  1.030690      1  D1_TEST3_02.csv  \n",
       "3  2.301373  3.847391  0.984122      1  D1_TEST4_02.csv  \n",
       "4  2.236725  3.876864  0.997859      1  D1_TEST5_02.csv  "
      ]
     },
     "execution_count": 5,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df2.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1058.88x1000 with 20 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "import seaborn as sns\n",
    "import matplotlib.pyplot as plt\n",
    "\n",
    "# Assuming your DataFrame is named 'df'\n",
    "\n",
    "# Subsetting the DataFrame to include only the first 3 columns and the label\n",
    "subset_df = df2[['Mean', 'Max', 'Standard Deviation', 'Kurtosis', 'label']]\n",
    "\n",
    "# Plotting the pairplot\n",
    "g = sns.pairplot(subset_df, hue='label', diag_kind='kde')\n",
    "\n",
    "# Adjusting the axis limits\n",
    "# for ax in g.axes.flatten():\n",
    "#     ax.set_xlim(-10, 10)  # Adjust these limits based on your data\n",
    "#     ax.set_ylim(-10, 10)  # Adjust these limits based on your data\n",
    "\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "##### Perform division"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "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>Mean_rel</th>\n",
       "      <th>Max_rel</th>\n",
       "      <th>Peak (Pm)_rel</th>\n",
       "      <th>Peak-to-Peak (Pk)_rel</th>\n",
       "      <th>RMS_rel</th>\n",
       "      <th>Variance_rel</th>\n",
       "      <th>Standard Deviation_rel</th>\n",
       "      <th>Power_rel</th>\n",
       "      <th>Crest Factor_rel</th>\n",
       "      <th>Form Factor_rel</th>\n",
       "      <th>Pulse Indicator_rel</th>\n",
       "      <th>Margin_rel</th>\n",
       "      <th>Kurtosis_rel</th>\n",
       "      <th>Skewness_rel</th>\n",
       "      <th>label</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>0.935150</td>\n",
       "      <td>0.893130</td>\n",
       "      <td>0.893130</td>\n",
       "      <td>0.893126</td>\n",
       "      <td>0.934251</td>\n",
       "      <td>0.869898</td>\n",
       "      <td>0.932683</td>\n",
       "      <td>0.872825</td>\n",
       "      <td>0.955985</td>\n",
       "      <td>0.999039</td>\n",
       "      <td>0.955066</td>\n",
       "      <td>0.923104</td>\n",
       "      <td>1.010064</td>\n",
       "      <td>1.004021</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>0.976998</td>\n",
       "      <td>0.978373</td>\n",
       "      <td>0.978373</td>\n",
       "      <td>0.978378</td>\n",
       "      <td>0.977426</td>\n",
       "      <td>0.956830</td>\n",
       "      <td>0.978177</td>\n",
       "      <td>0.955361</td>\n",
       "      <td>1.000970</td>\n",
       "      <td>1.000437</td>\n",
       "      <td>1.001407</td>\n",
       "      <td>0.990042</td>\n",
       "      <td>1.013935</td>\n",
       "      <td>1.009208</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>1.078757</td>\n",
       "      <td>1.276670</td>\n",
       "      <td>1.276670</td>\n",
       "      <td>1.276666</td>\n",
       "      <td>1.081000</td>\n",
       "      <td>1.177063</td>\n",
       "      <td>1.084925</td>\n",
       "      <td>1.168561</td>\n",
       "      <td>1.181008</td>\n",
       "      <td>1.002080</td>\n",
       "      <td>1.183464</td>\n",
       "      <td>1.229492</td>\n",
       "      <td>1.058411</td>\n",
       "      <td>1.049368</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>1.316093</td>\n",
       "      <td>1.184543</td>\n",
       "      <td>1.184543</td>\n",
       "      <td>1.184544</td>\n",
       "      <td>1.317615</td>\n",
       "      <td>1.743196</td>\n",
       "      <td>1.320301</td>\n",
       "      <td>1.736111</td>\n",
       "      <td>0.899005</td>\n",
       "      <td>1.001157</td>\n",
       "      <td>0.900045</td>\n",
       "      <td>1.033413</td>\n",
       "      <td>0.998348</td>\n",
       "      <td>0.995610</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>1.076861</td>\n",
       "      <td>1.182437</td>\n",
       "      <td>1.182437</td>\n",
       "      <td>1.182438</td>\n",
       "      <td>1.074894</td>\n",
       "      <td>1.148020</td>\n",
       "      <td>1.071457</td>\n",
       "      <td>1.155396</td>\n",
       "      <td>1.100050</td>\n",
       "      <td>0.998173</td>\n",
       "      <td>1.098040</td>\n",
       "      <td>1.138290</td>\n",
       "      <td>0.995040</td>\n",
       "      <td>0.994886</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>0.827329</td>\n",
       "      <td>0.745502</td>\n",
       "      <td>0.745502</td>\n",
       "      <td>0.745502</td>\n",
       "      <td>0.825881</td>\n",
       "      <td>0.677945</td>\n",
       "      <td>0.823374</td>\n",
       "      <td>0.682080</td>\n",
       "      <td>0.902674</td>\n",
       "      <td>0.998250</td>\n",
       "      <td>0.901094</td>\n",
       "      <td>0.819205</td>\n",
       "      <td>0.965305</td>\n",
       "      <td>0.974424</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>0.858881</td>\n",
       "      <td>0.866102</td>\n",
       "      <td>0.866102</td>\n",
       "      <td>0.866105</td>\n",
       "      <td>0.860995</td>\n",
       "      <td>0.747701</td>\n",
       "      <td>0.864697</td>\n",
       "      <td>0.741312</td>\n",
       "      <td>1.005932</td>\n",
       "      <td>1.002461</td>\n",
       "      <td>1.008408</td>\n",
       "      <td>0.935471</td>\n",
       "      <td>1.005019</td>\n",
       "      <td>1.011362</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>0.899097</td>\n",
       "      <td>0.983704</td>\n",
       "      <td>0.983704</td>\n",
       "      <td>0.983701</td>\n",
       "      <td>0.899149</td>\n",
       "      <td>0.808634</td>\n",
       "      <td>0.899241</td>\n",
       "      <td>0.808469</td>\n",
       "      <td>1.094039</td>\n",
       "      <td>1.000058</td>\n",
       "      <td>1.094103</td>\n",
       "      <td>1.037168</td>\n",
       "      <td>1.013753</td>\n",
       "      <td>1.013063</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>1.080898</td>\n",
       "      <td>0.946300</td>\n",
       "      <td>0.946300</td>\n",
       "      <td>0.946301</td>\n",
       "      <td>1.079790</td>\n",
       "      <td>1.161755</td>\n",
       "      <td>1.077847</td>\n",
       "      <td>1.165946</td>\n",
       "      <td>0.876375</td>\n",
       "      <td>0.998975</td>\n",
       "      <td>0.875476</td>\n",
       "      <td>0.909751</td>\n",
       "      <td>0.985727</td>\n",
       "      <td>0.991287</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>0.944096</td>\n",
       "      <td>0.943807</td>\n",
       "      <td>0.943807</td>\n",
       "      <td>0.943804</td>\n",
       "      <td>0.942285</td>\n",
       "      <td>0.881944</td>\n",
       "      <td>0.939119</td>\n",
       "      <td>0.887901</td>\n",
       "      <td>1.001614</td>\n",
       "      <td>0.998082</td>\n",
       "      <td>0.999694</td>\n",
       "      <td>0.970693</td>\n",
       "      <td>0.991255</td>\n",
       "      <td>0.987474</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>0.756117</td>\n",
       "      <td>0.799513</td>\n",
       "      <td>0.799513</td>\n",
       "      <td>0.799512</td>\n",
       "      <td>0.756546</td>\n",
       "      <td>0.573506</td>\n",
       "      <td>0.757302</td>\n",
       "      <td>0.572362</td>\n",
       "      <td>1.056794</td>\n",
       "      <td>1.000568</td>\n",
       "      <td>1.057394</td>\n",
       "      <td>0.919629</td>\n",
       "      <td>1.006197</td>\n",
       "      <td>1.005288</td>\n",
       "      <td>3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11</th>\n",
       "      <td>0.867718</td>\n",
       "      <td>0.788298</td>\n",
       "      <td>0.788298</td>\n",
       "      <td>0.788300</td>\n",
       "      <td>0.869424</td>\n",
       "      <td>0.761147</td>\n",
       "      <td>0.872437</td>\n",
       "      <td>0.755898</td>\n",
       "      <td>0.906690</td>\n",
       "      <td>1.001966</td>\n",
       "      <td>0.908472</td>\n",
       "      <td>0.847056</td>\n",
       "      <td>0.986786</td>\n",
       "      <td>0.997954</td>\n",
       "      <td>3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12</th>\n",
       "      <td>1.220349</td>\n",
       "      <td>1.261104</td>\n",
       "      <td>1.261104</td>\n",
       "      <td>1.261103</td>\n",
       "      <td>1.220838</td>\n",
       "      <td>1.492536</td>\n",
       "      <td>1.221694</td>\n",
       "      <td>1.490446</td>\n",
       "      <td>1.032982</td>\n",
       "      <td>1.000401</td>\n",
       "      <td>1.033397</td>\n",
       "      <td>1.141887</td>\n",
       "      <td>0.978783</td>\n",
       "      <td>0.988556</td>\n",
       "      <td>3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>13</th>\n",
       "      <td>0.996531</td>\n",
       "      <td>1.071168</td>\n",
       "      <td>1.071168</td>\n",
       "      <td>1.071171</td>\n",
       "      <td>0.997275</td>\n",
       "      <td>0.997152</td>\n",
       "      <td>0.998575</td>\n",
       "      <td>0.994557</td>\n",
       "      <td>1.074095</td>\n",
       "      <td>1.000747</td>\n",
       "      <td>1.074897</td>\n",
       "      <td>1.073352</td>\n",
       "      <td>1.015466</td>\n",
       "      <td>1.010269</td>\n",
       "      <td>3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>14</th>\n",
       "      <td>0.890329</td>\n",
       "      <td>0.823938</td>\n",
       "      <td>0.823938</td>\n",
       "      <td>0.823939</td>\n",
       "      <td>0.890489</td>\n",
       "      <td>0.793473</td>\n",
       "      <td>0.890771</td>\n",
       "      <td>0.792971</td>\n",
       "      <td>0.925265</td>\n",
       "      <td>1.000180</td>\n",
       "      <td>0.925432</td>\n",
       "      <td>0.873393</td>\n",
       "      <td>0.989132</td>\n",
       "      <td>0.994206</td>\n",
       "      <td>3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15</th>\n",
       "      <td>0.758701</td>\n",
       "      <td>0.739822</td>\n",
       "      <td>0.739822</td>\n",
       "      <td>0.739822</td>\n",
       "      <td>0.758374</td>\n",
       "      <td>0.574263</td>\n",
       "      <td>0.757802</td>\n",
       "      <td>0.575132</td>\n",
       "      <td>0.975537</td>\n",
       "      <td>0.999570</td>\n",
       "      <td>0.975117</td>\n",
       "      <td>0.849569</td>\n",
       "      <td>0.989490</td>\n",
       "      <td>0.986524</td>\n",
       "      <td>4</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16</th>\n",
       "      <td>0.944772</td>\n",
       "      <td>0.959586</td>\n",
       "      <td>0.959586</td>\n",
       "      <td>0.959592</td>\n",
       "      <td>0.943046</td>\n",
       "      <td>0.883677</td>\n",
       "      <td>0.940041</td>\n",
       "      <td>0.889336</td>\n",
       "      <td>1.017539</td>\n",
       "      <td>0.998173</td>\n",
       "      <td>1.015680</td>\n",
       "      <td>0.986592</td>\n",
       "      <td>0.987029</td>\n",
       "      <td>0.987127</td>\n",
       "      <td>4</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>17</th>\n",
       "      <td>1.108766</td>\n",
       "      <td>1.041463</td>\n",
       "      <td>1.041463</td>\n",
       "      <td>1.041462</td>\n",
       "      <td>1.109032</td>\n",
       "      <td>1.230987</td>\n",
       "      <td>1.109498</td>\n",
       "      <td>1.229952</td>\n",
       "      <td>0.939074</td>\n",
       "      <td>1.000239</td>\n",
       "      <td>0.939299</td>\n",
       "      <td>0.989088</td>\n",
       "      <td>1.002203</td>\n",
       "      <td>1.006088</td>\n",
       "      <td>4</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>18</th>\n",
       "      <td>1.080136</td>\n",
       "      <td>1.134937</td>\n",
       "      <td>1.134937</td>\n",
       "      <td>1.134938</td>\n",
       "      <td>1.082871</td>\n",
       "      <td>1.182981</td>\n",
       "      <td>1.087649</td>\n",
       "      <td>1.172609</td>\n",
       "      <td>1.048082</td>\n",
       "      <td>1.002532</td>\n",
       "      <td>1.050735</td>\n",
       "      <td>1.093027</td>\n",
       "      <td>1.016087</td>\n",
       "      <td>1.017761</td>\n",
       "      <td>4</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>19</th>\n",
       "      <td>0.887666</td>\n",
       "      <td>0.910855</td>\n",
       "      <td>0.910855</td>\n",
       "      <td>0.910859</td>\n",
       "      <td>0.887439</td>\n",
       "      <td>0.786843</td>\n",
       "      <td>0.887042</td>\n",
       "      <td>0.787548</td>\n",
       "      <td>1.026386</td>\n",
       "      <td>0.999744</td>\n",
       "      <td>1.026123</td>\n",
       "      <td>0.966795</td>\n",
       "      <td>0.990886</td>\n",
       "      <td>0.991993</td>\n",
       "      <td>4</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "    Mean_rel   Max_rel  Peak (Pm)_rel  Peak-to-Peak (Pk)_rel   RMS_rel  \\\n",
       "0   0.935150  0.893130       0.893130               0.893126  0.934251   \n",
       "1   0.976998  0.978373       0.978373               0.978378  0.977426   \n",
       "2   1.078757  1.276670       1.276670               1.276666  1.081000   \n",
       "3   1.316093  1.184543       1.184543               1.184544  1.317615   \n",
       "4   1.076861  1.182437       1.182437               1.182438  1.074894   \n",
       "5   0.827329  0.745502       0.745502               0.745502  0.825881   \n",
       "6   0.858881  0.866102       0.866102               0.866105  0.860995   \n",
       "7   0.899097  0.983704       0.983704               0.983701  0.899149   \n",
       "8   1.080898  0.946300       0.946300               0.946301  1.079790   \n",
       "9   0.944096  0.943807       0.943807               0.943804  0.942285   \n",
       "10  0.756117  0.799513       0.799513               0.799512  0.756546   \n",
       "11  0.867718  0.788298       0.788298               0.788300  0.869424   \n",
       "12  1.220349  1.261104       1.261104               1.261103  1.220838   \n",
       "13  0.996531  1.071168       1.071168               1.071171  0.997275   \n",
       "14  0.890329  0.823938       0.823938               0.823939  0.890489   \n",
       "15  0.758701  0.739822       0.739822               0.739822  0.758374   \n",
       "16  0.944772  0.959586       0.959586               0.959592  0.943046   \n",
       "17  1.108766  1.041463       1.041463               1.041462  1.109032   \n",
       "18  1.080136  1.134937       1.134937               1.134938  1.082871   \n",
       "19  0.887666  0.910855       0.910855               0.910859  0.887439   \n",
       "\n",
       "    Variance_rel  Standard Deviation_rel  Power_rel  Crest Factor_rel  \\\n",
       "0       0.869898                0.932683   0.872825          0.955985   \n",
       "1       0.956830                0.978177   0.955361          1.000970   \n",
       "2       1.177063                1.084925   1.168561          1.181008   \n",
       "3       1.743196                1.320301   1.736111          0.899005   \n",
       "4       1.148020                1.071457   1.155396          1.100050   \n",
       "5       0.677945                0.823374   0.682080          0.902674   \n",
       "6       0.747701                0.864697   0.741312          1.005932   \n",
       "7       0.808634                0.899241   0.808469          1.094039   \n",
       "8       1.161755                1.077847   1.165946          0.876375   \n",
       "9       0.881944                0.939119   0.887901          1.001614   \n",
       "10      0.573506                0.757302   0.572362          1.056794   \n",
       "11      0.761147                0.872437   0.755898          0.906690   \n",
       "12      1.492536                1.221694   1.490446          1.032982   \n",
       "13      0.997152                0.998575   0.994557          1.074095   \n",
       "14      0.793473                0.890771   0.792971          0.925265   \n",
       "15      0.574263                0.757802   0.575132          0.975537   \n",
       "16      0.883677                0.940041   0.889336          1.017539   \n",
       "17      1.230987                1.109498   1.229952          0.939074   \n",
       "18      1.182981                1.087649   1.172609          1.048082   \n",
       "19      0.786843                0.887042   0.787548          1.026386   \n",
       "\n",
       "    Form Factor_rel  Pulse Indicator_rel  Margin_rel  Kurtosis_rel  \\\n",
       "0          0.999039             0.955066    0.923104      1.010064   \n",
       "1          1.000437             1.001407    0.990042      1.013935   \n",
       "2          1.002080             1.183464    1.229492      1.058411   \n",
       "3          1.001157             0.900045    1.033413      0.998348   \n",
       "4          0.998173             1.098040    1.138290      0.995040   \n",
       "5          0.998250             0.901094    0.819205      0.965305   \n",
       "6          1.002461             1.008408    0.935471      1.005019   \n",
       "7          1.000058             1.094103    1.037168      1.013753   \n",
       "8          0.998975             0.875476    0.909751      0.985727   \n",
       "9          0.998082             0.999694    0.970693      0.991255   \n",
       "10         1.000568             1.057394    0.919629      1.006197   \n",
       "11         1.001966             0.908472    0.847056      0.986786   \n",
       "12         1.000401             1.033397    1.141887      0.978783   \n",
       "13         1.000747             1.074897    1.073352      1.015466   \n",
       "14         1.000180             0.925432    0.873393      0.989132   \n",
       "15         0.999570             0.975117    0.849569      0.989490   \n",
       "16         0.998173             1.015680    0.986592      0.987029   \n",
       "17         1.000239             0.939299    0.989088      1.002203   \n",
       "18         1.002532             1.050735    1.093027      1.016087   \n",
       "19         0.999744             1.026123    0.966795      0.990886   \n",
       "\n",
       "    Skewness_rel  label  \n",
       "0       1.004021      1  \n",
       "1       1.009208      1  \n",
       "2       1.049368      1  \n",
       "3       0.995610      1  \n",
       "4       0.994886      1  \n",
       "5       0.974424      2  \n",
       "6       1.011362      2  \n",
       "7       1.013063      2  \n",
       "8       0.991287      2  \n",
       "9       0.987474      2  \n",
       "10      1.005288      3  \n",
       "11      0.997954      3  \n",
       "12      0.988556      3  \n",
       "13      1.010269      3  \n",
       "14      0.994206      3  \n",
       "15      0.986524      4  \n",
       "16      0.987127      4  \n",
       "17      1.006088      4  \n",
       "18      1.017761      4  \n",
       "19      0.991993      4  "
      ]
     },
     "execution_count": 6,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Separate the label column\n",
    "label_column = df1.iloc[:, -2]\n",
    "\n",
    "# Perform the relative value by operate division on all the features\n",
    "df_relative = df2.iloc[:, :-2] / df1.iloc[:, :-2]\n",
    "\n",
    "# Add the label column back to the resulting DataFrame\n",
    "df_relative['label'] = label_column\n",
    "\n",
    "# Append a string to all column names\n",
    "suffix = '_rel'\n",
    "df_relative.columns = [col + suffix if col != 'label' else col for col in df_relative.columns]\n",
    "\n",
    "# Display the first 5 rows of the resulting DataFrame\n",
    "df_relative"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### Subsetting DataFrame to see the pair plots due to many features"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 808.875x750 with 12 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "import seaborn as sns\n",
    "import matplotlib.pyplot as plt\n",
    "\n",
    "# Assuming your DataFrame is named 'df'\n",
    "\n",
    "# Subsetting the DataFrame to include only the first 3 columns and the label\n",
    "subset_df = df_relative[['Mean_rel', 'Max_rel', 'Peak (Pm)_rel', 'label']]\n",
    "\n",
    "# Plotting the pairplot\n",
    "g = sns.pairplot(subset_df, hue='label', diag_kind='kde')\n",
    "\n",
    "# Adjusting the axis limits\n",
    "# for ax in g.axes.flatten():\n",
    "#     ax.set_xlim(-10, 10)  # Adjust these limits based on your data\n",
    "#     ax.set_ylim(-10, 10)  # Adjust these limits based on your data\n",
    "\n",
    "plt.show()"
   ]
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.10.8"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 2
}