UrbanSound8K.ipynb

{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# **UrbanSound8K 🎵**\n",
    "\n",
    "### EDA, FEATURE ENGINEERING & SELECTION"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "playsound is relying on another python subprocess. Please use `pip install pygobject` if you want playsound to run more efficiently.\n"
     ]
    }
   ],
   "source": [
    "# import libraries\n",
    "import os\n",
    "import glob\n",
    "import utils\n",
    "import config\n",
    "import random\n",
    "import numpy \n",
    "import pickle as pkl\n",
    "import librosa\n",
    "import librosa.display\n",
    "import pandas as pd\n",
    "import numpy as np\n",
    "import matplotlib.pyplot as plt\n",
    "from playsound import playsound\n",
    "from scipy.stats import skew, kurtosis\n",
    "\n",
    "import warnings\n",
    "warnings.filterwarnings(\"ignore\")\n",
    "%matplotlib inline"
   ]
  },
  {
   "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>slice_file_name</th>\n",
       "      <th>fsID</th>\n",
       "      <th>start</th>\n",
       "      <th>end</th>\n",
       "      <th>salience</th>\n",
       "      <th>fold</th>\n",
       "      <th>classID</th>\n",
       "      <th>class</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>100032-3-0-0.wav</td>\n",
       "      <td>100032</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.317551</td>\n",
       "      <td>1</td>\n",
       "      <td>5</td>\n",
       "      <td>3</td>\n",
       "      <td>dog_bark</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>100263-2-0-117.wav</td>\n",
       "      <td>100263</td>\n",
       "      <td>58.500000</td>\n",
       "      <td>62.500000</td>\n",
       "      <td>1</td>\n",
       "      <td>5</td>\n",
       "      <td>2</td>\n",
       "      <td>children_playing</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>100263-2-0-121.wav</td>\n",
       "      <td>100263</td>\n",
       "      <td>60.500000</td>\n",
       "      <td>64.500000</td>\n",
       "      <td>1</td>\n",
       "      <td>5</td>\n",
       "      <td>2</td>\n",
       "      <td>children_playing</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>100263-2-0-126.wav</td>\n",
       "      <td>100263</td>\n",
       "      <td>63.000000</td>\n",
       "      <td>67.000000</td>\n",
       "      <td>1</td>\n",
       "      <td>5</td>\n",
       "      <td>2</td>\n",
       "      <td>children_playing</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>100263-2-0-137.wav</td>\n",
       "      <td>100263</td>\n",
       "      <td>68.500000</td>\n",
       "      <td>72.500000</td>\n",
       "      <td>1</td>\n",
       "      <td>5</td>\n",
       "      <td>2</td>\n",
       "      <td>children_playing</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>100263-2-0-143.wav</td>\n",
       "      <td>100263</td>\n",
       "      <td>71.500000</td>\n",
       "      <td>75.500000</td>\n",
       "      <td>1</td>\n",
       "      <td>5</td>\n",
       "      <td>2</td>\n",
       "      <td>children_playing</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>100263-2-0-161.wav</td>\n",
       "      <td>100263</td>\n",
       "      <td>80.500000</td>\n",
       "      <td>84.500000</td>\n",
       "      <td>1</td>\n",
       "      <td>5</td>\n",
       "      <td>2</td>\n",
       "      <td>children_playing</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>100263-2-0-3.wav</td>\n",
       "      <td>100263</td>\n",
       "      <td>1.500000</td>\n",
       "      <td>5.500000</td>\n",
       "      <td>1</td>\n",
       "      <td>5</td>\n",
       "      <td>2</td>\n",
       "      <td>children_playing</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>100263-2-0-36.wav</td>\n",
       "      <td>100263</td>\n",
       "      <td>18.000000</td>\n",
       "      <td>22.000000</td>\n",
       "      <td>1</td>\n",
       "      <td>5</td>\n",
       "      <td>2</td>\n",
       "      <td>children_playing</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>100648-1-0-0.wav</td>\n",
       "      <td>100648</td>\n",
       "      <td>4.823402</td>\n",
       "      <td>5.471927</td>\n",
       "      <td>2</td>\n",
       "      <td>10</td>\n",
       "      <td>1</td>\n",
       "      <td>car_horn</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "      slice_file_name    fsID      start        end  salience  fold  classID  \\\n",
       "0    100032-3-0-0.wav  100032   0.000000   0.317551         1     5        3   \n",
       "1  100263-2-0-117.wav  100263  58.500000  62.500000         1     5        2   \n",
       "2  100263-2-0-121.wav  100263  60.500000  64.500000         1     5        2   \n",
       "3  100263-2-0-126.wav  100263  63.000000  67.000000         1     5        2   \n",
       "4  100263-2-0-137.wav  100263  68.500000  72.500000         1     5        2   \n",
       "5  100263-2-0-143.wav  100263  71.500000  75.500000         1     5        2   \n",
       "6  100263-2-0-161.wav  100263  80.500000  84.500000         1     5        2   \n",
       "7    100263-2-0-3.wav  100263   1.500000   5.500000         1     5        2   \n",
       "8   100263-2-0-36.wav  100263  18.000000  22.000000         1     5        2   \n",
       "9    100648-1-0-0.wav  100648   4.823402   5.471927         2    10        1   \n",
       "\n",
       "              class  \n",
       "0          dog_bark  \n",
       "1  children_playing  \n",
       "2  children_playing  \n",
       "3  children_playing  \n",
       "4  children_playing  \n",
       "5  children_playing  \n",
       "6  children_playing  \n",
       "7  children_playing  \n",
       "8  children_playing  \n",
       "9          car_horn  "
      ]
     },
     "execution_count": 2,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#import dataset\n",
    "pwd = os.getcwd()\n",
    "data = pd.read_csv(os.path.join(pwd, config.CSV_FILE_PATH))\n",
    "df = data.copy()\n",
    "df.head(10)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "The dataset contains the meta-data about the audio files. which include the audio file names, the unique classes it belongs to, the audio ID from its original extracted [source](www.freesound.org), The slice time (start and end) from the original audio file recording, as well as the folder where the audio resides.   "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array(['dog_bark', 'children_playing', 'car_horn', 'air_conditioner',\n",
       "       'street_music', 'gun_shot', 'siren', 'engine_idling', 'jackhammer',\n",
       "       'drilling'], dtype=object)"
      ]
     },
     "execution_count": 3,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# unique classes\n",
    "df['class'].unique()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "The list above shows the unique classes of the audio files contained in the dataset"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 504x360 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "# check for imbalance in distibution audio classes\n",
    "plt.figure(figsize=(7,5))\n",
    "df['class'].value_counts().plot(kind='barh')\n",
    "plt.grid(True)\n",
    "plt.legend()\n",
    "plt.title('Distribution of audio file classes')\n",
    "plt.xlabel('count')\n",
    "plt.ylabel('classes')\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "the distribution of the unique audio classes seem to be quite alright except the `gun_shot ` and `car_horn ` class which has less samples compared to the rest of the classes"
   ]
  },
  {
   "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>start</th>\n",
       "      <th>end</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>0.0</td>\n",
       "      <td>0.317551</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>58.5</td>\n",
       "      <td>62.500000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>60.5</td>\n",
       "      <td>64.500000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>63.0</td>\n",
       "      <td>67.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>68.5</td>\n",
       "      <td>72.500000</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "   start        end\n",
       "0    0.0   0.317551\n",
       "1   58.5  62.500000\n",
       "2   60.5  64.500000\n",
       "3   63.0  67.000000\n",
       "4   68.5  72.500000"
      ]
     },
     "execution_count": 5,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# record length of all the 'audio files\n",
    "df[['start', 'end']].head(5)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "The average length range of each audio recording time present in the dataset is 3.6 secs to 4.0 secs\n"
     ]
    }
   ],
   "source": [
    "pd.DataFrame(df['end'] - df['start']).plot(kind='hist')\n",
    "plt.grid(True)\n",
    "plt.legend()\n",
    "plt.title('Distribution of the length of all audio sample recordings')\n",
    "plt.show()\n",
    "\n",
    "print(f'The average length range of each audio recording time present in the dataset is {np.round(np.mean(df[\"end\"] - df[\"start\"]), 1)} secs to 4.0 secs')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [],
   "source": [
    "# unique classes \n",
    "audio_classes = [ 'air_conditioner', 'car_horn', \n",
    "'children_playing', 'dog_bark', 'drilling', \n",
    "'engine_idling', 'gun_shot', 'jackhammer', \n",
    "'siren', 'street_music']"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [],
   "source": [
    "# audio file save format: format: [fsID]-[classID]-[occurrenceID]-[sliceID].wav  "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "52740-3-0-2.wav 3\n"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 720x216 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Audio data descriptive statistics\n",
      "sample rate: 22050\n",
      "min-value: -0.06659513711929321\n",
      "max-value: 0.07767105102539062\n",
      "std: 0.01477248128503561\n",
      "mean: 0.00300950207747519\n",
      "median: 0.0029018810018897057\n",
      "skew: 0.10045249135362483\n",
      "kurtosis: 0.5163944328263077\n",
      "\n",
      " \n",
      "\n",
      "Statictics for MFCC extract\n",
      "min-value: -328.8060302734375\n",
      "max-value: 120.38201904296875\n",
      "std: 56.04046630859375\n",
      "mean: -3.5291075706481934\n",
      "median: 2.531064033508301\n",
      "skew: -4.598196410093292\n",
      "kurtosis: 25.990642543923855\n",
      "50629-4-1-11.wav 4\n"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 720x216 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Audio data descriptive statistics\n",
      "sample rate: 22050\n",
      "min-value: -0.5521805286407471\n",
      "max-value: 0.4841082692146301\n",
      "std: 0.1052374467253685\n",
      "mean: -4.46458398073446e-05\n",
      "median: -0.001148740528151393\n",
      "skew: 0.057590094785120824\n",
      "kurtosis: 0.44881907951216693\n",
      "\n",
      " \n",
      "\n",
      "Statictics for MFCC extract\n",
      "min-value: -145.83236694335938\n",
      "max-value: 114.44503784179688\n",
      "std: 32.3497200012207\n",
      "mean: 0.012967395596206188\n",
      "median: -1.7541879415512085\n",
      "skew: -1.052111239397843\n",
      "kurtosis: 11.489291181088122\n",
      "159744-8-0-11.wav 8\n"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 720x216 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Audio data descriptive statistics\n",
      "sample rate: 22050\n",
      "min-value: -0.0687982514500618\n",
      "max-value: 0.06462329626083374\n",
      "std: 0.012188475579023361\n",
      "mean: 5.407894718700845e-07\n",
      "median: -8.560078276786953e-05\n",
      "skew: -0.04026592191931722\n",
      "kurtosis: 3.655250570888077\n",
      "\n",
      " \n",
      "\n",
      "Statictics for MFCC extract\n",
      "min-value: -467.6591491699219\n",
      "max-value: 178.5988006591797\n",
      "std: 78.53351593017578\n",
      "mean: -12.22353458404541\n",
      "median: -5.528887748718262\n",
      "skew: -4.515241918815435\n",
      "kurtosis: 26.148510537662766\n",
      "71177-8-1-2.wav 8\n"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 720x216 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Audio data descriptive statistics\n",
      "sample rate: 22050\n",
      "min-value: -0.6464333534240723\n",
      "max-value: 0.6545622944831848\n",
      "std: 0.14187242090702057\n",
      "mean: -1.5500003428314812e-05\n",
      "median: -0.00023750039690639824\n",
      "skew: 0.00016020523674370888\n",
      "kurtosis: 0.30813682749099547\n",
      "\n",
      " \n",
      "\n",
      "Statictics for MFCC extract\n",
      "min-value: -138.77133178710938\n",
      "max-value: 89.17631530761719\n",
      "std: 30.133529663085938\n",
      "mean: -3.04825496673584\n",
      "median: -1.788912296295166\n",
      "skew: -1.7653206198769995\n",
      "kurtosis: 10.21306233500094\n",
      "169466-4-3-10.wav 4\n"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 720x216 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Audio data descriptive statistics\n",
      "sample rate: 22050\n",
      "min-value: -0.4604056179523468\n",
      "max-value: 0.472781240940094\n",
      "std: 0.08941895514726639\n",
      "mean: -1.45631747727748e-05\n",
      "median: -0.0004011833807453513\n",
      "skew: 0.006067760585039511\n",
      "kurtosis: 0.46219393207191883\n",
      "\n",
      " \n",
      "\n",
      "Statictics for MFCC extract\n",
      "min-value: -51.9938850402832\n",
      "max-value: 41.67441940307617\n",
      "std: 12.731001853942871\n",
      "mean: 0.23000316321849823\n",
      "median: 0.3059021830558777\n",
      "skew: -0.8290426984600155\n",
      "kurtosis: 7.57494977791394\n",
      "31973-9-0-71.wav 9\n"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 720x216 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Audio data descriptive statistics\n",
      "sample rate: 22050\n",
      "min-value: -0.6019325852394104\n",
      "max-value: 0.6224498748779297\n",
      "std: 0.1166224256157875\n",
      "mean: -0.0001560839737066999\n",
      "median: -3.405773168196902e-05\n",
      "skew: -0.08024040596382774\n",
      "kurtosis: 1.5366887054259246\n",
      "\n",
      " \n",
      "\n",
      "Statictics for MFCC extract\n",
      "min-value: -222.54129028320312\n",
      "max-value: 138.64797973632812\n",
      "std: 42.16864776611328\n",
      "mean: 2.5517756938934326\n",
      "median: 3.338491439819336\n",
      "skew: -2.952984804374062\n",
      "kurtosis: 20.013369754190826\n",
      "180029-4-13-0.wav 4\n"
     ]
    },
    {
     "data": {
      "image/png": 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hXfqHdekv1qd/Kntd+hFs7ULZBTpbwWKxUxEZCm2dtfOUUpZLHhARERFVN37MRlwMoJOItNMXer0a2hpYQSJyBrTkcJcopfb7cE0iIiKiKsFzsKWUKoa2Gvq3ANYCmKyUWi0iT4jIJfpuzwJIBfCJiCwXka9CnI6IiIioWvFlzJZSaiqAqaZtjxpuD/XjOkREduQWFOOil3/A7PsyY10UIiJmkCei6udYfhG2HsyNdTGIiAAw2CIiIiKKKgZbRERERFHEYIuIqq3C4tJYF4GIiMEWEVVfnR+ehlJvi2QQEXnGYIuIqjWvS5IREXnFYIuIiIgoihhsEREREUURgy0iIiKiKGKwRURk8uOmg/h6xa6YluGt+Vuwfu/xmJaBiPzBYIuIyGTsFyvx54+Wx7QMT05Zi3cXZMW0DETkDwZbREQmzM9FRH5isEVEREQURQy2iIiIiKKIwRYRRc0b87Ygp6DY1bHH84uwatdRn0tERFTxGGwRUdSMn7oWK3Zkuzr29XlbcNHLP/hbICKiGGCwRUSV0pG8wlgXgYjIFwy2iIhCeP679bEuAhFVAwy2iKhS+mV7dqyLgJdnbYp1EYioGmCwRURR9dXy3SgoLnF83Ordx6JQmqrlg5+3x7oIROQDBltEFFUfL9mBnzYfqtBrCqRCr2fFTYBJRNUTgy2iSuzoiSIszjocs+t/uXwX/uHDuKXSUuVDaexLTjj5p62CLw0AKClV6PLwdBSXMBM9ETHYIqrUnvt2Pa58bUHMrv/vOZvxEsctOaaUFuHFIM4jokqIwRZRJfbewm2xLkLMFcWgdWj30XxPx09dtdenkhBRdcBgi4gqtZdmbvR0vMRg+NZfPvql4i9KRJUWgy0iiuizpTtjdu21ezgrkYiqNgZbRBTRvZ+siNm1v1+7P2bXJiLyA4Mtoipgd/YJ18fuyj6BklhMySPWOxEBYLBFVCVs2p/j+thzJszCt6s5YDsWsg7lxroIRFQJMNgiqgK8to8czuWizrGw1+OsRiKqHnwJtkRkuIisF5FNIjLG4vGBIrJMRIpF5Ao/rklEVBGcBkzGVBVPfL3G7+IQURXkOdgSkXgArwIYAaA7gGtEpLtpt+0AbgbwodfrERFVpIe+WOlof+M4rT1s2SIiAAk+nONMAJuUUlsAQEQmAbgUQPAnnVIqS3+Ma1cQVSHr9h6PdRFizkvAVKI4QJ6I/OlGbAlgh+H+Tn0bEflk1DuLXR2XX1QzF0M+lFsQs2vX1DonotBEefzlpY/BGq6UGqXfvwFAP6XUnRb7TgTwjVLq0xDnGg1gNAA0bdq096RJkzyVzY6cnBykpqZG/To1AevSP4G6XLnraHBbz5b1HJ/n2IkibDuch5b1a6NhSpLj471eP3B8RqMUpNVy1pDu5do7Duch+0SRdu26cUhLS3N97VqJ8ejUxP77+nh+cXAWoojglBZ1HV0bAHIKirH1oHYON/UeLfyM+4v16Z/KUJeDBg1aqpTqY/WYH92IuwC0NtxvpW9zTCn1OoDXAaBPnz4qMzPTc+EimTNnDiriOjVBdaxLpRTE43ov363ei3bpKejU1P4XfqAubx4zJbgt67pMx9f+cvkuPD93OcZd1gW/Paut4+O9XL+0VOHmh6YCAN66qScyuzWtsGvf8NbPmL/xIADg9aG1Hb8vjdfu1rwupv1ugO1jZ63bh+fnLAEAJCXEYcO1zq4NAE9PXYv/rNwCwN3rHi3V8TMeS6xP/1T2uvSjG3ExgE4i0k5EkgBcDeArH85LFHOZz83B92v2eTrH6PeW4qmpa30qUdXx+Nerg7crejHpnzYfOnknBmsjEhEZeQ62lFLFAO4E8C2AtQAmK6VWi8gTInIJAIhIXxHZCeBKAP8RkdWhz0hUeWw7lFemS8mt/KKaNzdk5rqTy+wUlVTsQHHjjMCKvnZCHNMXElFZfnQjQik1FcBU07ZHDbcXQ+teJKIaqEX92jG79pYD7rPvA8CGfc5mZG47nBe8XVhc84JsIiqPP8GIiMJwur7hM9PXeb4eE0YQVS++tGxR1XSisATJCXGIi+Oglupu5xH3C1mTMwUeW7Nu+u8i/LDpoE+lIaLKgC1bNdiwF+bh1dmbYl2Mam2BcaC2Q05bVKx8tkybGPza3M2ez+WUlwCvoLh8rqp3f8rCziN5FntH9vOWQ/h48XbX5alIDLSIqh8GWzXY9sN5WLHT++Dv6m7tnmOuj521zv1Mxm9+3e362IB5Gw64PjaWyTknL9lZbtujX63GJxbb7Xh62jr89TNny+4QEfmFwRZRCHmFxQCAtXvdB1tvzN/q+tjNB3JdH+uHWYbZhF5ZtVSFk1tQbLndbVufH62ERERuMdgiCuHYCe0Lf2+MFhPOybcOOCqK0wWYwyl1OIyp1LSyxeHcQgBAidMT6fYc9T5mLb+oBB/+HLkrMt1Fpn4iqt4YbBFF4EeepsDSMU7Eek5adp7zModiTMK/ZvexiOkU4kxZ+3s9OQMAUDsxHv/9wXlr4cEcLVj73X8W4NOl7roiP1+2y1YAWuhzAtfsvEJfz0dEFY/BVg139AT/kFcEN+O+0mollrn/xrwtfhXHlRve+tmX89z89iKMfncJbnzrZ8cTCA7mFOKJb9a4vvairYfxv19crSZm+zUMBHah7D+ej1IH3Zo1MSEuUXXDYKuGW5x1JNZFIJvGx3jJn8Bag17tP16A3dn5mLfxIK55Y6HlPkUh0icE0io4CVYAoK5hEezdLrsU+3do5Oo4szPHz8ScDfbHw53/z7lQSuHL5e6CRCKKPQZbhMLiUmz2mGWb/FdZs5/tPJKHrQedDd7/4pddZcZNFetjrzo2SbXcvzhEMPXRInfpG44Zxr+lpyS7Ooef6ztuO2Q/hcXx/GIUlpTirknLOdCfqIpisEWYvGQHhjw/N9bFqPZem7sZu7Ptt6qYxy05dSinoMz9jDFTPJ0v4I4Pf8FFL893dMynS3ei/9OzgotTB2KGIV2bWO5/IoppJ0SAa15fGHKB8YOmegOA/cfykRQf+c/lUZvj3H7Znm25/aKXnNUrEVUNDLaqkA37juPA8fJfBF4dya2e47bGfPYrZq/3L32BVxOmrcPUlXts73/E48Don7ce9nR8KGv3HENugbtg6O0fs8rczy0MkeJBhW/B2XQgJ+RA+UjHHskrxIIthzAzRA60PuO+L7ftzKdm2mr9fXdBVrltE3/cilnr9uHHTQeDwVjfjAaWx6/a7T7NCBFVXgy2qpCRL87Ho1+u8v282w+7y8ptlFNQ7Mt5/DRp8Q489HnsElnGImu7UVqt6KzGVa92YuSdbArVLRapVW/B5kMhB8ofidC6tGm/FjRNX7XXRglPyi3UAkylVMgFprceKt+9+tjXa3DrxCW47s2fcdbTMx1dM+Cuj5YDAB79chX2H8/HG/Ni+94iImcYbFUhxaXKUTeUXZ+4nApvtPNIHo6eKMKB4wVYuOUQ9h9zl5vqu9V7cTCnAMfziyK2UNixx0OOrOQEbx+P12M8ezBa/GxdPZLrLr1EXmHolrVQ3YMBdZK0IDRSUGZ2TE/f8a85m0N2o36+LPwgdrfdo9NXa4HhBz9vx9cr9mD8VG+LXRNRxeJC1OSLV2dvRmcA7y3IwkuzNmFYj6b4zw19HJ9n9HtLg7dfufYMXHRqCx9L6YzbWWsBtSyCtcOVoMtWKYWtB3PRvrH14PSKlJzoLqANl6T0uzXhW6xy9Oz0p7Ss6+iaH+gJTZ/9dr2j46yEmgBgB/NuEVU9bNmqIvycCRUNX6/Q1vF7aZa2sPW3q92vCRgw5dc9+GTJDs/ncevCl37w/ZzH8u23pnht2UsMMaB7cdYRDH5+bswy4xuFCj4DrU+hvLtgW8jHvl9rb5zexTEI5OskxQMAEuLKd5Pa/YxPjvCZyM4rRJeHp1XbsZhEVRGDrSqi09hpAICjJ4osB+FWR9NW7cX9n/4a62K41qphnXLbjp6wvwRP7QgBRyS1EuPLbfvw522Yo08aCIxdcsKc38ppviuz1GTr5/jhotDBlJGXgPTpaetw1EVm/3DSU8OnlejeXGtN+3FT+WSu2yzGe1nZdyx8N+5ny3ahoLgU8za6X4SciPzFYKuKyTqUh0e/XB3rYlQpL3y/wXI6v1vTV+0NuVCy0VntGpbb5mQcWHqq/2vsPfTFKry3UAtk4lx8+u/8aFnw9vAX5qH9Q1M9leeUlvUsW3RCBRR20i/Y2Sdg0/7wywY51TNC1+SSbVoS4cAYLCOvwXVAanL5IJuIYovBlg+UUlFJyVDR/BiQXlkYx7W88P1Gx+vp5VsMZFZKoaikFLe/vxQfL47cvSkWM+qcVHGrBuVbxn7wIYt7oAyRytKgTvlZh1NXngwS1u31Hqi8NmczLv/3T7b3N687+OvOo+Xet/cN62z7fAmmiNPOZ8CqCzBYvhCzFO3IsxHAR7LvWD4O6d2HJ8JMIiCiisVgywe/7MhG3/Hlc/NUNV5m7lnxayDv5f+y/2Uc8JU+hiygwOGX4PH88l987y7YhvP/oSV/tRMzWbXYBMbsuHW9D+sTBgaIx+tBw+fLdiLPIt+V3RQPJaXKdjJPs+MFxfh151FXxwLApa/+iDnry3aXmXN5hWMe15ZrI0BpXq9WyMdyPARMVsG5E5v256DfUzPxzHRtAH+L+rU9nY+I/MNgywdropyI0Muv5VCsvhxLfW7Z+vt0f6anL91+cv1GpZStLzTzWKJPHaa3MAdKD36+Eh8t2o4sfZmVvIJiHM4ttGwBC9hlkaYj3P52uU2rYdYoReumvGfyCszbUL7FzG5r7Qc/b0OvcTNcXduK03Fg+0z14eVHQ7GNQeo7jljPhNyw77inWYZe/bS57GvodDxaxpgpGPjMbBQWl1arVm6iyoDBlg9e+H5jVM9/1esLfD+nk1lxkZiXhQmINJDXjZdnbcIpf/vW8XFOv3jMyTY/WrS9TLdZneQE9HpyBm6duDjkOb5cvrvcto37cxx8kVnv98Uv9hYkjjS7bcXOo/j9u0sAALPW7StXrrgw3WVGj3652vGaffGmcxsDJqsgNZwEB2O0zMw/MNy2TK3fexwX/HMeVkf44XVG6/oAgItObV5m+9ETRbj7419cXTvA/KPMTfLZ7YfzcOrj3+KTJd5z7xHRSQy2fBAYfL3vWH5UfhFaraPW/dHpns454JnZ5bbVtpi9ZkekLxg/5BYU43h+Ef4xY4Prcxhfm+KS0rABgnlsUKhz/bS5/KyycJbvyA4u4rzjcB5W7QrdhRYq6ebG/TnIGDMFv3n1R6zbewxKKczbcAA/birbslFQFP453PfJCszQE4BOXrITOw6XDXLCjU0CgI4h8nQppcqVxWy/qdVs4k9ZwdtOW4fu+2RFmftX9G5l+1hjFvl/fLce175hv5vW2AI37IV5to4JLE9k7tZ+5H+rsGqXs89RoJU08F4cN2VtmceNXaQfLdqO+RsP4L7Jy3HL24uCZQ/kXDN+NvKLSjE/wutHRM4w2PLIuPZev6dm4v2F9qasexUug7ZbM9bsw/H8Isfdln4u3xLK9W/+jN/9x34LX55Fd127B6fiF71L8o8fLCv3JW0UqaUmsBTOVX1ah9ync1PrYOQ/c7fgxrd+xrAX5uGil3/AnPX7MXnx9nJj3EKN7wp0if6yIxvDX5iPl2Zuwh/eW4o7PlhWZj9z61EkA5+dHTGHk1F+cfk6nr1+P9o9OBXXvelsbFmR4T33ip6rzS0nrZivzNaupZTCS7M2RX3JqcCA/ETTa2MeY2hH10emY9a6fcElgAZ0Si/zuLEeHvx8JR78fCU+XbYLs9cfwIb9x1FUUoqpK/di0HNzyrXocXA9kb8YbHl0y9tlu5Ge99DyEmtjPl+Jno99h8te/dHRcaHG9XpdSNnolx3ZWLvH/uy3omLrYOnpado4shlr9oXtjosUprzzkxZUh1t/MNRA6i9+2YV5Gw8GA+ab316MBz5bidOfcDbuKeCf32/AiaISZPuQM+oBB3nNrJKmmj8PdhmD48+Wue/COpRTEGytc8LO7FKzLQdd5CkztCD50Qp+68Ql2HesABljpmC+aabq7e8vxZKsw8gYMwUAsNMw1mzR1sPoNHZaMBVJUUnZsrRqwMH1RH5isOWzbJezsvyyYPMhPPiZt0Sga/Ycw2tzNwf/SH+1YjdufntRyP1DLRpcKyF2+X7++b110OvX2pIpei6j4xZjfP4zdzO+XL4Lcy0GnQPhuyifmrIWd33kfuxOICP7vmP5mLXOexb/cALdoX5Yveuo47FaRkopKKVcrVzw6dKdrrrCj54oxo7DeWVatyMJjPubumovTn38O0xatD0q650G3Bui9XbjPi1QfPZb7cfH1JV7yjxu7NY1KipReHP+Fg6gJ3KIwVYV9vOW8uOFrnljIT6y+JXudIbXBL0F6LvVe/GXj34pN73ejgWG8h3NK8JtExf7llz0uD7Av6RUIWPMFGw/dLL7J9SAfUD7dW8eJ7XjcB6+XF62leuYReoHo67NtOSVeYUluOujX/Chvm4eoLWe3TVpua3nYfb6/C340kWXUkCvJ2fg6Iki9HtqJt6Y7yy3WMBjX63GDxsPOl6o+clv1ri6HqAN1j9nwixbswGtFJaU4uPFO/DQFysdH3vfJyuCiV6dyM4rxIBnZrtuzTueX4wVO4/i7AmzXB1vx7ZD1t2igee7Xg+6Hv7fKlvn23P0BMZNWYtvV+/FTxzXRWQbg60o2HzAefeCG1e9vtDWfjf9d5HrTN/GhaEB+9nTAz5duhOlpQrTV+/BzHX70WfcyXxkOQXFmLfB3ZIiPR/7Dg9+/iv+8J42m+7XXdnBx3qPC5/z7KKXT655+MqsjbjmjYW4a9Jy/LozG0opFBaXRnyOxaVaUHAopwBfrtiNh75YiYwxU3Dv5NDjwCrKMY/diRN/ynKVz+sth4ljrUwxtbDY9fmyXViUddjz9Z247Z0lns8xbZW75xsLpaUqOA7s9veX4VrDuLyznp6JHVEe70ZUlTHY8mD/cet8PpMWbbfcHg37juVj3d5j2HowF5nPlp9hCGjdgn65/f2l5X6Jh0sjcd8nK7DlYC5mrDnZ1RL4Vd1v/Pe48b+LXHdJfLRoR3DR4aenai1xTru2nvtuQ3AsyyWv/Ihth/LQ+eFpuPvj5WGPC8wmM89G9DLeyGjLgVy8ONNdSpHM5+agRZjEm5WZ2xbBBz9fGVwMvSrJziuKOOszFprWTcasdfvKJLsN94Nt79F8DHhmNo7kFiJjzJRgy/NHi7YHb9tRUqosE+wSVXUMtjz4bKn1AOs9R/Nx9EQRsvMKMeqdJSgpVTiSW4gjudYDxjPGTMG6ve4Con5PzcTwF+Zj0HNzggk3zQKtNOZxGU4FBh4Hft2+MW8zDuUURFyLbug/5uL7tSfH0jTW1/wLZOsuKC7F0m1HPI0D2ZV9Av/4br3tHFShBHJTHQ7xWgV8vszbdSLJLSzGlgPuxkSVlCrs9nk1gKrAPMi7qohlItRQ0lOTcevEJej+6LcoLgmd5PSa1xfizflbgve36otp93zsO5SUKjyoT7o5/YnvkDFmCtbrY9ZueXuR5Y/VDg9NRfdHv8W+Y/kYP8Vdt/SvO7Nt533bdijXl0TDRJEw2PIg1C/Sb37dg9Me/w7Xv/Uzvl+7D79sP4IznpyBM57UZpsVlZTiy+W7UFBcEux6Gf7CfF/LVlqq8O2qPZi9fj9S9AVu//TBMk/jagIJMAHgx00HMX7qOoz9wt5YD6OdR06U+ePd9ZHpuPzfP6Hdg94WNX5p1ia85LI1KOD8f9rLl0RUnRm70V+dvTnkMkYLthwqk9/LmL5krGH8XGDiUCAf2ez1B3Dm+JnYlX0ChcWlyBgzBdMNXap3fLAMb8zfisLiUmzYdxzbDuXi/YXb8MPGg8G0FFYBYGFxKS555Ud0sDls4rxn59jOkTZuyhpHAaBSynGyX6q+fFlmXkSGA3gRQDyAN5VSE0yPJwN4F0BvAIcAXKWUyvLj2rGUkhy++gJJCq947WR+qIwxUzC0W5Ng95fRtkO5aNsoJXh/6bYjrrNKP/zlquCgbWPL01s/bMX9w7q4OqdRII/S9NV7cdPZGY6OHTdlbbkEjERUeRhbyf/5/QZccnoLW8f9e87m4O1Qk2oCs5wB4BzDkITb3z+ZJ27JNi0fXueHp4W93sejz0KdpAT0bFUPALBq98nJL8brZE24sNyxm/ZrY2uNkwjeW5CFR75cHdx/7oYDOLdjOrYfzsOb+oSTsRd2L3eu0lKFJ75Zg9TkBNyn/30N/Hi0ujYQOZcfVS+eW7ZEJB7AqwBGAOgO4BoRMb8bbwNwRCnVEcA/Afzd63X9klNQHEziWVKqsGl/DkpKFQY+MxsX6IsOl5Yq3PPxciilUFxSiqKSUizfke16Zp1VoAVov7IyxkwJdmFd/u+fymX1tss4O86casBJ4ko7rnnD3kB9IqqaBj03x9Z+i7NOrmO61+UanpGGJRhd9fpCXPzKD8gYMwVvzt+CzfutJyc9+c0aZIyZEgzAvvhlJ4bqf9+Bk8mpH/lyNQDtb/4/Z2zATf9dhA4PTS3z/POLSrA7+0TwfOv3Hkfnh6dh4k9ZeGX2pnIJYh/6YiVW7Mgusy1jzBR0eGgqVuozo0tKFZbvyMY1ry9ExpgpyDqYi3cXZNmuh7zCYmQZxqs++PmvyBgzJWT3b0mpCjvzt6RUlTlWKVUu6bITm/Yfx8WGiUmhKKUw6p0lZbqcqwvxmi9FRPoDeEwpNUy//yAAKKWeNuzzrb7PAhFJALAXQGMV5uJ9+vRRS5Z4n+0Tzo7DefjftBl4fqUvDXw13r09i1mXPqnpdSkC+JXKqabXpZ8qoi7j46Tatvp88+dzMWPNvuDkFyf12T49BVv0gKpVg9rYeeQE1j05HH/6YBlmrQuf6+2bP5+L295ZjH3HCrDooSE48ylt1YEPRvULu9rD1qdHlhne0SglCW0a1cEv27Nx/7Au+MPA9iguVbjklR+wYV8OaiXGIb+oFM3q1kJCvJRJpGvllJZ18fWd50YcQnJmRkP0aFkX9WonYt6GA1imL2H3+CU9cG2/Nth15AR+/ukH/PWnk4Hux6PPwpntGuLrX/egR4u6iBNBu/SUEFfwh4gsVUr1sXzMh2DrCgDDlVKj9Ps3AOinlLrTsM8qfZ+d+v3N+j4HTecaDWA0ADRt2rT3pEmTPJUtkhNFJTh+PAf7opdTsEZpWhusS5+wLv3DuvQP69JfrE//2KnL7s3rOl7GzIlBgwaFDLYq1c89pdTrAF4HtJatzMzMqF5vxY5szJs3l796fcIWBP9U5boUAJWpXSJWdVmZ6sGvslTl92VlxPr0j5263HT1eUhw0E3tJz9e5V0AjKvxttK3We2zU+9GrAdtoHxMdWmWhnkAxozoiswujYMzAof3aIbpq/cCAFY9Pgw/bjqIP7y3FGe2a4jGaclon56Cl2dtQq829YPNmUSkqSwBRqxVpnqoTGWJJCk+LuySVuE0TkvGgePhx9JO+G1PjPm8/EoDQ7o2wUy9O+7LO87BqHeXWJ5r7MhuGD/15ASflKT4MrM1P729P9btPV4uK/99F3TGnYM7QSlVptvs39f1wt++Wo39FtdqlJKEM9o0wBs39oaI4OWZG9GucQouOrUF1uw+hu4t6qKkVAVnX24cPwKJ8XHBsWl/HtwRN/bPQOO0ZJSWKsTprTpD/zEXp7euh+euPB1frdiNbs3SUKqA9NQk5BeX4pwJs3BOx0b4YNRZePDzX1FYrPDZsp3Y8tRIxMUJdh7JQ8v6tSH6Um3FJaXILShBSnI8DuUWonFqMnZln8DbP2bhkYu6BZ/vtLsGIK+wGB/8vB33nN8ZrRrUAaDNfp234QDi46RMIu2fxgzG0RNF6Na8brm6ySssRp2kkyHMnDlzkHVdJgqLS5GUUPkSLfjRjZgAYAOAIdCCqsUArlVKrTbscweAnkqp20XkagC/VUr9Ltx5K2LMFqC9QFYtaPuP5wMKaFI3dHLIN+dv8XVW3eCuTTDhtz2D1+zw0NSojF2Yde95GPz83Mg72hT4I8Vfaf5hXfqHdeldl6ZpWL/veKWty7dv7os+GQ2wZNsRy+WTVj52AQ4cL4Do43aKS0rRcezJmY6bxo9AgiFIyZpwIfYcPYH+T5dfSikwu3D6qr1Yvfso7r2gC16buzm4xNnWp0dCRMqcy+y71Xsx+r2leO7cBFxx0bDg9vyiEuQUFCM9NdlDbQAFxSVQCqiVGLv1ac2MwV40hPour0jhxmx5Dv+UUsUA7gTwLYC1ACYrpVaLyBMicom+21sAGonIJgD3ABjj9brR1iStVthACwBqJ9l7I19zZpvg7c1PjcRnfzwbAHB5r5Zl9vvvzX3LXHPT+BHY/NRIu0UuY8nDQ5GemoTTWtUrk028dcPaZdJL+OGPmR0cHzPuslN8LQMR+ad+ncQy9z/709m2jvvnVacFb/dr19Byn2evODV4+74LOuPNGy2/m4KPA0BtU9Dw4tWnAwDWPjEcWRMuxKCuTZBWKxHdmp1sARnStQmu7tsaX95xDtJqJaJ949TgAOmE+DhsMfxtDXQtbRg3ApP/0B8A0LxebWRNuDD4z2z4Kc1w7wVamofbz+sQ3C/Q2vPmjX3wt4vLp4kAgAt6NEPWhAvLBVW1EuM9B1oAkJwQX6kCLQBRDbSqAl9+oiilpgKYatr2qOF2PoAr/bhWZRKuuXpwl8a4rFcr/OWjX/DnwR3RoXEK6tVORHycoHfbBsEP7zNXnIYOD01F34wG5c4hIoh3+f5MT03GnPsHIV4E5/z95K+zt27q68sAwcAslb9f3tPxsS9cdTouO6NlsJn949Fn4arXF+Jf1/XCnz5YFuHo6KqTFI+8EAkciWqKpmm1golIfxoz2PaSQvVqnwzSHhzZDZe9+mOZx3u3bYAr+7TG/Z/+ij9mdsCfMjtCRAvSfnNGq2Br0HNXnob7PlmBOwd3Cna9FZcqJBrG21x6etkfq4C2zBAA3HpOOzwaItAJiIsTDOzcGFf3PTkKJikhDmeGCBJ/GjPYUXfs0O5NHexN1V3law+uQqz6kQFg1Lnt8PBF2gd9xCnNkBgfh1ED2lvuGx8n+OGvg4J9105de2YbfLhoO5qkJZfr80/Vk64G8ogFmrfdyppwYfCPoYhg5WMXIDU5AUu3HQl7XKOUJBwyLH+z+2jZKSPG4NOLOfdlorhUlcmf49S3dw/EgGes15g0sqpvouqiVqIW1FzRuxVa1K8dcr8592UitVZCcIH5wN+xxy7ujtNb1wcAPHJRd7RtWAfdWtRFS/1cM+89D+3TU4J/j35zRisAWiv51JV7cEXvVjjfEKyICBJt/PIUEUd/S9699Uzb+4arB6JIKt8osirkghC/XFo3PBk4JdqY+eA20AKAp37bE1kTLsSisUPx9i19LfcJJNnzEmgZ/eN3WldBWq1EiEjEX3uz78/Eoxed/JUZ+EX63JXaefyYHTKyZzNkpKegsYcm+PbpKUirlYDHLu4esvk/YFCXJgCANg3dv3bhdGycij+56J4FgNeu7+VzaSpO20bu67N9lHPo1CQrdh5F1oQLg59RAOjVpn65/TLSU4LdXjf2b4tOTVLx8jVn4OZz2gHQfqDddm47DO3eNBhoAUCHxqmWf4/+Orwr5t4/CEDZVjKiqo7Blgehgpfr+rWx3O63czo0KnM/EACYTbtrAM5qb900Hon5KWZNuBC/7dWqzDbzeAqjrU+PRN1aiejSLA0A0KlJavCP7hW9W7lu0Rreoym2PDUSyx89HwBwY/8MAEC9OokY2s26HgIGdm4cvL3ooSHB5Ytm3ZeJ+nWScPM57YLlDaVEn1jSofHJL/ipfxkQLI9XtZPiI5YhlNNbl++Sdso4zq8iBcbLOLX68WFlWkIqwml6y40XVsMHKqvP/3ROyMc++2N/PH5JD4gILj7N3tI+RDUJg60oqKg8Hh/8/qxy2/q0Lf/Hu1vzupg02t2X2MZxI4LjIJw6tVW9YEB6Tsd0bBo/AjPuOc/Vucxeu6EP4uIE9esk4fFLeqC34Xm/eZN1Cx+gTSs3DshtUrcW7hjUsdxEhNQI61420AcQt6hfG+ue1Abpdm9RF/XrJLl5Or5pXq8WGqUm4VKba9lZ2Th+BGbdl+n4uEVjh7i+JgBc1LM5mkaYlBJK7cR4XOvhR46b9/jfLu6OUQPaub4mAJzeuj7ONv1oqgidm6aWuW+3RbG5HoQve+T8Mj+Uerdt6FvLOVF1xGCrmpk0+iwseHCw5/OsfWI4nr/yNCTEx2HaXQMx7a4BIfcNlT0k2ZTrJFpB6E1nZ5Trrg3VytG5WaplDhbzpIFwrXUA8O6CbQCAopLScrN+1j05HOueHO6qNXH63QMw/e7QdR3JggeHIDE+Di9efQY+sgjG7UiMj0OtxPhgQGlXkzT3rWG/OaMlXrnOffenCNC2UUpwpq8TWRMuxIhTmjs+Lk4ED1/YvcystkgapmjBeGpyAl665gxcf1ZbfOjydbLjit6tLLcP6aZ9PgKzB98y/UA5p6N1AJiemowN40YEnwcR2cNgyyPzHyUvv679kBAfh+b13A/kHDWgHV699gzUTorH5fof6oYpSSEnA4QtS5x/b69IwY9ZqPL2a3fy9QoMAnbjDwO1CQ8NLL50aiVq067jQvzSN7cidNfLes/5ndG1WV10bea8rv3ipHGiSZr3KeoBdWt5m6sTaFWxGldkx23nOm+hCqQRcDKlvZnecjewUzouOa2F5zQsgTGDb9/cF1eaAqsrerfCuMtOwQtXnQ4AZX5kDOiUjscu7o7DudqMw0am93GzuqH/hlTGhJFElR1nI3r0xo190P3RbwForSm/DzHrsCpY+vBQNHIxwDy3sNhyu908ZHY8cWkPJMbH4e6Pl9vav77F4NrnrjwNF52qtWC8e2tfJCWELl+kXLKB7sIlWaFnYv602XqRhLEju6FOUgIWbjmEV2ZvwuTb+6OwuNR2a0GnJqnYuD8HgLZA6wtXn46HPl+JZA/BI6AFHHcN7WR7//TU8jMyN40fgU+W7sT2w3n495zNIY+tVzsRR08UBe8bu6C++7+BuOCf8xyU/CQRwZW9W+GTpTsdHdfaxUSHtAhdzVaUPp3EXX70sm4/rz1+P6A9ftp8CIO6NsEtE8sm8xzeoxlqJcbjsjNa4u6Pl2PkKc3wv+W7AQCdmqTh7A7p2HcsH09+swYppueSW2D9mSYidxhseWRcLuCNMMn5/BYuEaAdfx3eFX+fvq7MtmKX2ertzLj06so+Wi4cu8GWVWODsUtlYOfwg+jrRAgUA9PQI6W9sNKvfSPUq52Iczul4z59cD4sYtyCYuuv5EtPb4F+7RuhRf3awckGr93Qu9x+kVYf6N22QZny/2VwJ9StZb/rcN3eY+W2JcTH4Zoz2+BYflHYYOt4flGZ+6e1rhe8be5+jmRI17Kv5c4j9lf2NXY7bhw/AlsO5GLYC/YCPWMr4B8Gtsd/5m2xcczJ5U2M3rn1TNz030W2rhswZkQ3AAgOSB/QKR3zNx4MPm4MoJY8PBS1E+Nx49kZaFgnCY31VsmmdWtZTlLhTEAif7E92AeZXRpH3smD/1hM5feaMC/QwmNU5HI9MrddN24sfXgo7h/WOerXibSK1fGCYvzxvA74YFS/kPuYu2YA4MrerWx/kYUKfNqlp6JvRsMyU+kDXZdGqRG65h67uAfWjxsOQAve65nGaEVK7houlosUtHVsUnaAdiDPEgDH44HM4/MWbLG/7KqxezoxPq5c5vRwjK1xfx3eFempkcsd+BFgbNUDgPM6N8YXNrO0h2JORXPMENCmpyYjJTkBvdo0QEaEFBnPXN4Tdw7u6KksRFQWgy0f3HR2RlTPP8zF4N1IWvqYoC/ULKTLe1kPzvWiUWoy7hhkv6sr4Le9ymebDsfcBbrlqZFlxsQoBfx1RFec0zE95DlG9iz/uvmVU8wPSQlxSNa7UhtbjL+yG3h8f89APHxhN0fX3rAvJ+RjkWaCmvk5CS5SiyZgPdYvLk6w5OHzg4k8Q1m1S2sNXGzR/ZzmoFXRirGV3Y33b+uHt2/pi9/1beOqW5WIQmOw5YNTW9bDKBcDbGPJalBvXZ+7Di60aD1z4/t7Bjo+xvzrvYHDlAzm2YlxcYI7B3fES9ecAQBIsfGlbNVC43WlpIxGdTxPsU/SA77d2Vp325anRlrmjEqx+eXdsUlayBUS3HDy/M5q3xDnmbqEneS5U6aUvHYGf4dLZKsiNYlG0aWntyiT0sFpWc7tlB4yVx8RecNgyweNUpODy/NUZU7G61Skjk2cJ/fMNH1pRGpxMLNKe9C2UQou0cfHdDB1g9nlZOBxcWn5bt3pdzsPPM0CAUVgQH2o2XRbDuZ6vlYkV/Vp7SjjvTkIfufWM9HMlIDVydqf+UVl6zg5zKSJgHCtcs1c5gkDvAfiCfFx+O7/zsOr12r1eewEB7kTVRYMtqja2/r0SMdZrcO1rmRNuBADOkUep3cot/zaiU66EVfvLj8A3Twuy6l6tRORke6+i2ju/ZnB29/ePRC/95jUMzkxDsMddJObB/0nWdRnIAeaHXa6DZ1wO8kE8C9VyiZ9pqofC84TkT8YbFUR7fVlYU5rVQ9rnxge49JUHD+WjYlVZmvjzLCASDMEjYpCzEa0y6obac59mcH0JG6+3I15obo0S8PYC7216Aa6Ms2evOwUT+e144rerdDV5ZJIocxctz/s4+fpS0U9fkmPco8lJvjzPu2vZ6TnuCuiyoPBVhUx697M4G0/81f5rWfLepF3sune8ztjapjM9dGW4LFlwCpYcjL42+3s0IAciy7LBilJ6N+hERLjpcwSR7ESaljRzsN5YY8LJEH1EkjXSYqv8EB87oYDAICC4vIzPe12QV4SoZW2b0YDzLz3vCq17iJRdcdgi3zxup7nafTA9ji7QyP8/fKers7Tsn5t3D20EzI7N8ZverWM6VqDSx4e6vs5WzWwPws0WoFAk7Ra2Dh+ZKXoZjIn07TrT4NCpya4um9rW+d4f6H97kYjc9oKN6xmHtp9vSOlWhERdGicyrUKiSoRJjUlX3Rplob10PJ3OR0fZTT/gUGOlj+JpqISbzPLki3GV1WGAMerpIQ4FHrs4gywauGxI9zyTbee2w6TFu8I+XhacgKOFxRHXCXA7I+ZHfDvOZvx7+t6Yd3e484ONvHSatnYwxqURBQbbNmqQm7s3xbXndXW9/Pee773JKFtGtZB56Zpnn9N+x1oXX+W+7UqnYyvsjJptLcFhkNlkLfLy2DtcKyWQnLL7eLV4XKAtW4QfqxSoR7oWCX2taNT07SQPyj+lNnBcntgbNgDw7UVA5y+yxc9NASAltR3ZM9mWP34MIdnIKJYYstWFfLEpdEfNOyWiDheZiXavvnzuRG/eKOpqcUYHHOagnAa28hIHo7VTD0/HMot9O1coWYDRgo0h3ZrijVPWAcckcY0ntaqPhZlHbZM5Apoy/+YB7pf368N2tlYNNpqHNzCB4egTnJ8MLXKM9PXBxeAtiuQ3b9+nSSIiOvuVyKKjcr17UgxMahrE9vjXKqSU1rWK7cETSwtfXgoRjpIcxDvMRXA2fqstIDnrzzN0/kCHhjWJWQLTjh3D+2Eb015wo7kWQdukZY0qp0Y7zpjugjw8eizcNcQ65UI3rq5b7lt437T09ZC30O6lV9Gq1m9WuVy2O05aj0Lc9a950W8BhFVPfx5RDilZT1MuPzUWBej2muUat2SEkqJx2zk5i7dy3v7s3zSH85zHmi9f1s/nNvp5NJGSfFxKCwpxeQlO/HMFeWDwFDPvFvzuli7p3z+sUji4yTYLZxXWIJ+7RtFOKI8Pxdc7xViJmj7xtaD7+P117Lqj/gjqpnYskVEUWceyhdYJidUnqtQA+DPat/Q8nyRGMffuZ2kcCinfJJaN/4wsH3YNTXN3rn1TCTExyFrwoWVZvIIETnDlq0abqhFtwf5z2rx4kjyi8rO1Fv3ZGyT2Xod8B9wfb82SE6Mx58yO4RcfDlUMBVYTsfLRAwn6TeM7M5ATIiTsJMTHhzpbNFuvxOvElHFY8sWUQVwujajFa9L9Xh1louuNyvjftMTj1zUHY1Sk0Mu/GwOpZ7QM66nJMVjw7gRrq/90e/PwiMu1zG93uZM4JYug7lQnC6iTkSVD4MtohACPTZN6zoba2VFXIy28SuXlVtX+jTGC3CehsK8/41nZwAA8otLQgZo4QRWNujfoZHlLFE7ujWvi43jIwd6R3ycrQnA1fMlosqFn2KiEAKpARqluA+2AmtauuG2u8svbgbCh+JkmSIg9FJJXmdoemVnkHx+jINkIqp8GGzVcF7X/6vOAuOCzCkUnPjtGS1dHzu4axPXx/rBj2Vp3OrbrqHl9jYuF1fu0aJuzINXIqq5GGzVYM9deSruPt861xCd5CWB5E1695cbodIAOPHi1acDiF6C03Ba1ncf3PRqUz41wq+PXeA6eP3bxT3w1Z3nui4PEZEXDLZqsCt6t0bXZnVjXYxqLdRsu4p2/7AuFX5Nv9dBrlsr0XXqg9pJ8WiYUjUGmk+8pS8Gdm4c62IQkY8YbBHVAJGWsCH/9LZolXMis0sTdGO6B6JqxVOwJSINRWSGiGzU/7f8KyMi00UkW0S+8XI9IqqaSj1mw/ciVIJUu9qlO5vkcOfgjp6uR0TVj9eWrTEAZiqlOgGYqd+38iyAGzxeiygmEuM5icCNFMPahVsP5MasHG0aeVuM3Gl+s4Lik8lombaBiADvwdalAN7Rb78D4DKrnZRSMwHYS79MVIm8dn0vXHNmG0/n6NIsDX0zvHUtVUXPXHFyvc1GqRU7Xqpz09jNpCQiMvO6XE9TpdQe/fZeAFz7haqV4ac093yOr+48B4kxzg8VC6f5kDXfreb1amPDvhwAVXPx5jpJXEmNqDoRFWEshYh8D6CZxUNjAbyjlKpv2PeIUirUuK1MAPcppS4Kc63RAEYDQNOmTXtPmjQpQvG9y8nJQWoqfwX7gXXpn0Bdrtx1NLgtkAXdifyiEmzcn4OW9Wu7mo3n9fqB4zMapSCtlrMAwsu1D+UWYnf2Ce3adeOQluZswLnx2rUS49HJQc6xE0Ul2LRfD/REcEoL5zN+S0oV1uw5BsBdvUcLP+P+Yn36pzLU5aBBg5YqpfpYPRYx2ApHRNYDyFRK7RGR5gDmKKUs55jbCbaM+vTpo5YsWeK6bHbNmTMHmZmZUb9OTcC69E+gLjPGTAEA3H5eB4wZ0dXVuTLGTMG4y06xvbaf+diArAkXuj7+rZv6YIjDRc+9XPtIbiHOeHIGAODNC+pg6OBBrq/drXldTLtrgO1j84tK0PWR6QC0MVtu13IMlMFNvUcLP+P+Yn36pzLUpYiEDLa89m18BeAm/fZNAL70eD4istDfQxZ7L5qkeV8Xsibz8mOWiKoPr8HWBADni8hGAEP1+xCRPiLyZmAnEZkP4BMAQ0Rkp4gM83hdIqoAVSURaDRde2Zr18d6TTtBRNWDp1GYSqlDAIZYbF8CYJThvv02eCKiSuSG/hmO9k82pHu4+LQWPpeGiKqimjdFiqgKqooz6moqMaxTdEN/5+PkiKj6YbBFVAUke0iOefPZGTi3Y7qPpSG76tdmNywRec+zRUQVoE9GQ9fHPnZJDx9LQk5UdDJXIqqc2LJFVAXEx8W2IzGWGdl7t6152feJqHphsEVEEX08un/Mrs0ZkURU1THYIqKIGsQw4Pnz4I7eTsBUV0QUYwy2iCqxBnUSY12EmDu1VX1Px8ci1to03l3WeCKqnhhsEVViz115Gs6JUfZ4AGjTsA5SkmteYs4W9WrFughEVI1wNiJRJTakW1PHawr6afxveuJYflHMru9WiWGZHInB3IL4OMFfBndEQownNhBR5cBgi4hCapyWjMY+rI/YumEdH0pjX1FJafB2LMIdEcE9F3SJwZWJqDJiNyIRRdVbN/VB56ZpsS5GldSxSexSbhCRfxhsEVFU1XK5GPNVfdwvAO2XWI9X69fOfTJbIqo8GGwRUaWUmBD78U5f3nFurItARNUAgy0iohDYjUdEfuAAeSKKqvouc4UN7dYUx04U+1waIqKKx2CLiKJm9ePDkJLs7s9MZpcmyOzSxOcSERFVPHYjElHUuA20iIiqEwZbRERERFHEYIuIiIgoitjGT0Rk0jujIRocyIl1MdCmgjPvE1F0MNgiIjJ55vJTUWhY8icWFo8d6nomJxFVLgy2iIhMaifFozZimz3ejzUpiahy4JgtIiIioihisEVEREQURQy2iIiIiKKIwRYRVVv/N7QT4uNiv6A1EdVsDLaIqNq6a2jnWBeBiIjBFhEREVE0MdgiIiIiiiIGW0RU7Qg4TouIKg8GW0RU7TStm4wPRvWLdTGIiAB4DLZEpKGIzBCRjfr/DSz2OV1EFojIahH5VUSu8nJNIqJIRATndEyPdTGIiAB4b9kaA2CmUqoTgJn6fbM8ADcqpXoAGA7gBRGp7/G6RERERFWC12DrUgDv6LffAXCZeQel1Aal1Eb99m4A+wE09nhdIiIioipBlFLuDxbJVkrV128LgCOB+yH2PxNaUNZDKVVq8fhoAKMBoGnTpr0nTZrkumx25eTkIDU1NerXqQlYl/5hXfqHdekf1qW/WJ/+qQx1OWjQoKVKqT5WjyVEOlhEvgfQzOKhscY7SiklIiEjNxFpDuA9ADdZBVr6OV4H8DoA9OnTR2VmZkYqnmdz5sxBRVynJmBd+od16R/WpX9Yl/5iffqnstdlxGBLKTU01GMisk9Emiul9ujB1P4Q+9UFMAXAWKXUQtelJSIiIqpivHYjPgvgkFJqgoiMAdBQKfWAaZ8kANMAfK2UesHBuQ8A2Oa6cPalAzhYAdepCViX/mFd+od16R/Wpb9Yn/6pDHXZVillOSbda7DVCMBkAG2gBUa/U0odFpE+AG5XSo0SkesBvA1gteHQm5VSy11f2EcisiRUHys5w7r0D+vSP6xL/7Au/cX69E9lr8uI3YjhKKUOARhisX0JgFH67fcBvO/lOkRERERVFTPIExEREUURgy199iP5gnXpH9alf1iX/mFd+ov16Z9KXZeexmwRERERUXhs2SIiIiKKomoVbInIcBFZLyKb9FQU5seTReRj/fGfRSTD8NiD+vb1IjLM7jmrKxt1OVBElolIsYhcYXrsJn1x8o0icpNhe28RWamf8yV91YEawUZ93iMia/TF2meKSFvDY6xPAxt1ebteL8tF5AcR6W54jJ9zA7vPW0QuFxGlzzQPbGNdGth4X94sIgf09+VyERlleIyfcQM77yER+Z3+N3O1iHxo2F4561IpVS3+AYgHsBlAewBJAFYA6G7a508AXtNvXw3gY/12d33/ZADt9PPE2zlndfxnsy4zAJwK4F0AVxi2NwSwRf+/gX67gf7YIgBnARBouddGxPq5VqL6HASgjn77j4b3JuvTeV3WNdy+BMB0/TY/5w7rUt8vDcA8AAsB9GFdun5f3gzgFYtj+Rl3XpedAPxiqKcmlb0uq1PL1pkANimltiilCgFMgrZQtpFx4exPAQzRo9tLAUxSShUopbYC2KSfz845q6OIz1splaWU+hWAeemlYQBmKKUOK6WOAJgBYLhoKwzUVUotVNo7/11YLFxeTdmpz9lKqTz97kIArfTbrM+y7NTlMcPdFACBgan8nJdl93k/CeDvAPIN21iXZXl53vyMl2WnLn8P4FW9vqCUCqxeU2nrsjoFWy0B7DDc36lvs9xHKVUM4CiARmGOtXPO6sjL8w5XlztdnrOqc1qft0H75RXu2Jpan7bqUkTuEJHNAJ4B8JcIx/Jzrin3vEWkF4DWSqkpNo9lXWpCPe/L9aECn4pI6wjH8jOusXrenQF0FpEfRWShiAyPcGzM67I6BVtEVZ5oKy70AfBsrMtSlSmlXlVKdQDwVwAPx7o8VZGIxAH4B4B7Y12WauJrABlKqVOhtbi8E2F/Ci0BWldiJoBrALwhIvVjWaBIqlOwtQtAa8P9Vvo2y31EJAFAPQCHwhxr55zVkZfnHa4uW1lsrwls1aeIDAUwFsAlSqmCCMfW1Pp0+t6chJPdBfyclxXpeacBOAXAHBHJgjbe5St9kDzrsqyIz1spdcjwuX4TQO8Ix/IzrrF63jsBfKWUKtK7sTdAC74qb13GciCcn/+gRbpboA3WDAyq62Ha5w6UHSA/Wb/dA2UHe26BNkgv4jmr4z8nzxvARJQfIL8V2uDEBvrthvpj5gGKI2P9XCtLfQI4A9qg0E6m7axP53XZyXD7YgBL9Nv8nDusS9P+c3BygDzr0vn7srnh9m8ALNRv8zPuvC6HA3hHv50OreuwUWWuy5hXrM8v0khoEe5mAGP1bU9AaykAgFoAPoE2mHMRgPaGY8fqx62HYZaC1Tlrwj8bddkX2q+LXGitg6sNx96q1/EmALcYtvcBsEo/5yvQk+rWhH826vN7APsALNf/fcX6dF2XL0Jb+H45gNnGP9T8nDurS9O+c6AHW6xLV+/Lp/X35Qr9fdnVcCw/487qUqB1ca8BsBLA1ZW9LplBnoiIiCiKqtOYLSIiIqJKh8EWERERURQx2CIiIiKKIgZbRERERFHEYIuIiIgoihhsEVGVJiKNRGS5/m+viOzSb+eIyL9iXT4iIqZ+IKJqQ0QeA5CjlHou1mUhIgpgyxYRVUsikiki3+i3HxORd0RkvohsE5HfisgzIrJSRKaLSKK+X28RmSsiS0XkWxFpHttnQUTVAYMtIqopOgAYDOASAO8DmK2U6gngBIAL9YDrZWjLT/UG8F8A42NVWCKqPhJiXQAiogoyTSlVJCIroa3jN13fvhJABoAu0BZeniEi0PfZE4NyElE1w2CLiGqKAgBQSpWKSJE6OWC1FNrfQoG2xmf/WBWQiKondiMSEWnWA2gsIv0BQEQSRaRHjMtERNUAgy0iIgBKqUIAVwD4u4isALAcwNkxLRQRVQtM/UBEREQURWzZIiIiIooiBltEREREUcRgi4iIiCiKGGwRERERRRGDLSIiIqIoYrBFREREFEUMtoiIiIiiiMEWERERURT9P8iz+LOZpqEDAAAAAElFTkSuQmCC",
      "text/plain": [
       "<Figure size 720x216 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Audio data descriptive statistics\n",
      "sample rate: 22050\n",
      "min-value: -0.1753818839788437\n",
      "max-value: 0.1874627023935318\n",
      "std: 0.020618287846446037\n",
      "mean: -1.4917867474650848e-06\n",
      "median: -2.33314585784683e-05\n",
      "skew: 0.0849907646466842\n",
      "kurtosis: 9.497937950494045\n",
      "\n",
      " \n",
      "\n",
      "Statictics for MFCC extract\n",
      "min-value: -313.2221984863281\n",
      "max-value: 82.67086791992188\n",
      "std: 51.279197692871094\n",
      "mean: -6.371092319488525\n",
      "median: -0.34074142575263977\n",
      "skew: -5.2160070512957395\n",
      "kurtosis: 29.286205997583245\n",
      "162103-0-0-0.wav 0\n"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 720x216 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Audio data descriptive statistics\n",
      "sample rate: 22050\n",
      "min-value: -0.2291528433561325\n",
      "max-value: 0.23494668304920197\n",
      "std: 0.05311315506696701\n",
      "mean: -7.308284239115892e-06\n",
      "median: -9.614849113859236e-05\n",
      "skew: 0.000554861109145681\n",
      "kurtosis: 0.23128280147981162\n",
      "\n",
      " \n",
      "\n",
      "Statictics for MFCC extract\n",
      "min-value: -156.52566528320312\n",
      "max-value: 143.93157958984375\n",
      "std: 36.36408996582031\n",
      "mean: -2.0939395427703857\n",
      "median: -0.9433373808860779\n",
      "skew: -0.4496115054715128\n",
      "kurtosis: 11.95926089058855\n",
      "50223-3-0-6.wav 3\n"
     ]
    },
    {
     "data": {
      "image/png": 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ghCXYEpFhIrJURFaIyJgK1rlARBaLyCIReT8c21VKKaVU7DMJXucdcrAlIsnAi8BwoAtwkYh08VmnI3AncKIxpivw91C3q5RSSqn4MOipfL5csNnpZDgmHCVbfYEVxphVxpjDwHhgpM86fwFeNMbsBjDGbAvDdpVSSikVB9bsPMC8DQVOJ8Mx4Qi2WgLrPZY32M956gR0EpEfRGSWiAwLw3aVUkoppWKehFqPKiLnAcOMMVfby5cB/Ywxoz3W+QIoBi4AWgHfAt2NMXt8PmsUMAogOzu7z/jx40NKWzAKCwvJzMyM+HZiUSLnHRI7/5r3mpH3nfsPs2nPQbq3rBf0e2pS/qsqkfMOzuXfGFi4qYAmWek0q5sR9e1DdPI+aNCgucaYXH+vpYTh8zcCrT2WW9nPedoAzDbGFAOrRWQZ0BH42XMlY8xrwGsAubm5Ji8vLwzJq1x+fj7R2E4sSuS8Q2LnX/Oe53QywiJnzEQghavqNuG+M7sG9Z6alP+qSuS8g3P5d52n156cw4V5naO+fXD+2IejGvFnoKOIHCUiacCFwASfdT4D8gBEpDFWteKqMGxbKaUS3ls/rHE6CUqpSoQcbBljSoDRwGRgCfChMWaRiDwkImfZq00GdorIYmA6cJsxRueYUEoppVSNF45qRIwxk4BJPs/d5/HYADfbf0oppZRSCUNHkFdKKaVUxL0yY6XTSXCMBltKKaWUUhGkwZZSSimlVARpsKWUUkopFUEabNmKS8soLUvsiTKVUrGv8FAJ63YecDoZSqkq0GDLdvXbcxjzyXynk6FU3HpmylJu/Wie08mo8S5/6ycGPjnd6WQopapAgy3bjGXb+WJ+4s5IrlSoPpizno/nbnA6GTXe3LW7nU6CUqqKEjrYMsawfd8hyuzqw4PFpQ6nSCmllEoMF742k3dmrnE6GVGR0MEWwJa9RRSVaJClVKi27j3kdBKUUnFk1qpd3Pf5Iqxxz2u2sIwgr5RSSilVHRv3HGT/oVLq1UqlWb0Mp5MTEQlfsqWUUvFo/oY9TiehRrrotVm8MmMlh7TGIyx8e/mXlRm+mL/J6zlj4MwXvueuTxdEM2lRpcEWcPCwfqmUUvHl0YlLnE5CjTRz1U7Gfvk7Xe+bTLf7J/PrOu2QEArfoHXjnoOMfv/XcusdLilj3a6aO6SJBlvA/+ZtCrySUkrFkMJDJU4noUYrKTMUHiph+u/bnE5KjfJy/goAdhaWb+OZkiTRTk7UhCXYEpFhIrJURFaIyJhK1jtXRIyI5IZju+GSv2y700lQKiQFB4udToKKsuLSMqeToFRA439a77X8vr389o9r3M+JHWPVSkuOVrKiLuRgS0SSgReB4UAX4CIR6eJnvSzgRmB2qNsMt5QkLeBT8a3ng1PYtf+w08kA4P3Z65xOQo20t6iYOz0GXl62tdDB1CgVnIe+WOz3+UMlR24W3vp+dbSS45hwRBl9gRXGmFXGmMPAeGCkn/UeBv4PKArDNpVSPmKlQW9NbuTqpHU7D/Cfn9dX+PqcNbuimBqlwuetH9Y4nYSIC0ew1RLwvAJssJ9zE5HeQGtjzMQwbE8ppZSP6977xekkKBW02asT6+ZAQh1MTETOA4YZY662ly8D+hljRtvLScA04ApjzBoRyQduNcbM8fNZo4BRANnZ2X3Gjx8fUtqCsW1XAQdNKnuLrDYv3VvWi/g2Y0VhYSGZmZlOJ8MxNSn/CzYW0LlZXVKTg2tgGom8L9hY4H4cy9+jeD3uRcWlLN9WcdVhkghdW9QN+Dnxmv9wCCbvnucxQNOsDLLrpkcyWVET7WO//3Apq7YHX91dOy2F9k3qRCQt0cj7oEGD5hpj/LZJD8egphuB1h7LreznXLKAbkC+WK3gmgETROQs34DLGPMa8BpAbm6uycvLC0PyKmaM4YX3J/DcIigps3bFmksiu81Ykp+fT6T3cSyrSfm/YsxEZp5xPM3r1Qpq/Ujk/YoxRwquY/l7FK/HfeHGAq795vsKX09PSWLpxXkBPyde8x8OweTd8zwGuGFwDn/MOzqCqYqeaB/7//vqd15esDLo9Xu1qc+n558YkbQ4fd6HoxrxZ6CjiBwlImnAhcAE14vGmAJjTGNjTI4xJgeYBZQLtJxUUlbzpwpQStVsng2OVfg8P22F00lQNUDIwZYxpgQYDUwGlgAfGmMWichDInJWqJ8fSQkwHZNSSikVN1xNm56avJTPf9sYYO34EZa5EY0xk4BJPs/dV8G6eeHYZjgcLI6N3ltKKaXiQ2mZIbkGD77ppF/X7WHE898z6cYBvDDdKlEceWzLAO+KDzrAlFIqZF8t3Ox0EpSKiq73f8U3S7Y6nYwaa/HmvU4nISI02FJKhezZr5c7nYQa75YP51X5PU9+9Tsrq9AbLNFt2nMw4DpFxWWs2r4/CqlRNYkGW0qpkBm0AWSkLd26r8rveTF/JZMXbYlAamqmbfvKz9enqmfbviLmb9hTrfc+8dXv4U1MDNBgSymlYtyKbcEFWv4mTXZ1BDLG8PD/FoUzWQljc0HgEi/l7dGJS/hhxc5qvfel/OCHi4gXGmwpFedK7AmJU5Od+zprz97ICrYK8cpxP5d7brtdWlNaZnjzhzV6rKph+HPfAdY+BCjTnRjQjsLwlBKu33UgLJ/jNA22lKohksS5HlJ7DhY7tu1EUJ0qRBU+ew5Y53dJmXVjU6rBVtQMeGK600kICw22lFIhS0/RS0kkZaYHP0rPoZJS3vhuFVv3Fvk8r4OeBvLGd6v8Pj+wUxMAlm2xOhvsLDwctTSpmkGvkD5ccyQqFW9cd91O2LC74jYtxaVlfL98RxRTk9g++Hk9j0xcwss+7V50pozAvphf+RAmH8xZB2g1YrRNnL+J39bvcToZIdFgy8cjXyx2OglKVcuh4tgpuTj/lR9ZusWq+pq9aheXvjnb4RQlDlepy6ESa9DmIp/Bm7UKzFJcWuYerTxY786ygi1BBzWNpuvf/5UHJsR3546EDrZKSst/0dbsqBmN8VTicbDJVjk/r9nN71uswQmLHSxxqyl2hFBtVepTorVk8162+VQxJqJzXvqR574Jbnw434BVBebv9zUU8V4NntDB1ozl28s9N3/jHmavql53VaWcVBzmi1uotADFGYs2FQAwb31BheuEErzVFAs2FjBzZXDX+ga1U9m9/8g+e3vmGl6dUfOGJwincPeO3hvnnXASOtg67CdSLiou44+vzXIgNUqFxt/5HA2u6ipff//gN69SlX3aHjIqpi6xxtrynfbEcyT5WCoFdUJVqw8F4ckpS93LpWWGx7+seQNvhlNGanJYPy8pzqOVOE9+aGqnhfdkUMpJTv2AVva75dlo/4VpK6KQGuVryuKt5C/dxi9rdzudlJhRncbWwUzlo46o6Casupwc2iYcwhJsicgwEVkqIitEZIyf128WkcUiMl9EvhGRtuHYrlIqfmzXqVAcUXCwmJs/nBf3bV7C6cBh70Bgw+4DnPnP7yt9j7/OnD+u1F62FWlYJ83pJMSUkIMtEUkGXgSGA12Ai0Ski89qvwK5xpgewMfAE6FuVykVGyr7Ef9myTaen6qTVDutqLiUJycfqQYb++XvfPrrBgdT5KxaPrUa63YeYMHGitu4AezaX/5m4eLXtZetCk44Srb6AiuMMauMMYeB8cBIzxWMMdONMa5ufrOAVmHYrlIqBrimC/Lnuvd+4dc4Hx+nJpqxbDtvfr/a6WQ4ZsXWwsAr+Vi4cW/glZRbcSXXhepYu/MAc9bsCutnRpNUtaFguQ8QOQ8YZoy52l6+DOhnjBldwfovAFuMMY/4eW0UMAogOzu7z/jx40NKWyB7DxZTdPAAW/1UxXdrWa/Gj6RSWFhIZmZm0OsXHCymXq3UCKYouqqa/1i2YGMBRzWuE/RI4+HMe2mZKdcY2596tVJp07B2WLYZing87oFKXQJJEnEPxJldC7YehFqpyXRoGl/7IVSuY+/an7XTUmjfpA57i0pYu3N/he+rVyuVggp6w3VvWS8iaY2EaJ7763YdqHCfVVfzerVonFm96slo5H3QoEFzjTG5/l4Lfg6IMBCRS4Fc4GR/rxtjXgNeA8jNzTV5eXkRTc+kBZvZOv8nnl5Qfjfc2rwlowd3jOj2nZafn0+w+/iZKUt5fsYKFj44qEpTh8SyyvL/8BeLWb6tkHeu6hvdRFVDSWkZV9z9JXXSSlj00NCg3lOVYx/IzsJD/PmRqQHXG9G9GX/K6x2WbYYinHmPlivGTAzp/bXTkt3tlG7pXsLTC1Lo1rIuX1wwIBzJixuuY+/an4M7N+XP5x/H2S/+wG/rK25TOKxrNl8t2uL3tTWX5EUiqRERzXP/uvfmMmmB/31WXQ+e1Ynz+udU671Of+/D8au5EWjtsdzKfs6LiAwF7gZONsbEfEvZ/KXbueyEnBpVklMdpWWG9ndNcjoZUTd1yVbW7oyvAW73H47tgRd3+mnzogLbti/0AUh9G4QDHIzx8yUa1tilWaFMBWOMQeK8p1wk7N4f/qFewl1SFk3haLP1M9BRRI4SkTTgQmCC5woi0gt4FTjLGLMtDNuMuDlrd/PoRJ26x3f06UQRb4FWPKiTlkJOiCU0iWhigPn6qmvl9oqrzRLFqiD3wf7DJRW+9u9Za/lkbuJ2NqhIRmr4R5Z65utlcXsNCblkyxhTIiKjgclAMvCWMWaRiDwEzDHGTACeBDKBj+w7gHXGmLNC3Xakrd+l46r40vu32HbgcAkZKcmIEHN329/8Hhf3WTGluLQsYg2zU5Nj6/xwwojuzYNa77tKJlK/73Nrzr7NBQc5ulldTumSHZa0xTvfHp+JLiyNb4wxk4BJPs/d5/E4uIYkMWZHYWJXeyzcWMBeh0f9/m39Ht6dtZanzu/pyPbjrYrgkYlL2Fl4iMmLtrL80eFhnzIjEuau3cVNH8zj29sHOZ2UmPPNkm188ktkSk2KSw3zN+zh1RmrqF87lUf/0D0i24k1BzxKqcL51X5qyjKObV1fgy1buNtr+bNqeyHN69WKi8Au9q/EDkr0EebP+Of3jo8jk790Gx/P3RD20YiD9cOK+Jon8/3Z65i8aCtgdQCJRTOWec9J+r95m1m364Bj0w3FsoPFFVdfhcM9ny1k4oLNvDd7XUS3E0uCrTpU1bd8676obGfw0zN49duVrN91wGvuylikwVaQ9hYVM0snqMapFlxH3/OV1/JzU5fT77GpzN+wJ6LbvfTN+B208MbxvzmdBL8Wb/KuFluxrepjHqnwKCo+chOzZPNethSE3hg/1u30+FH+Iszt4VwN7TcXHKTwUGQD5Vh2yrPfRm1bm/cUMeCJ6dz16QIKDsRuA3oNtioxb4M1Fsvu/Yc57pGpXFjDJ6j2HHOtrIKG8R/NWR+t5ADeVbk/rd7lHkDz2anL2Lr3EGN1MljHVTUAf/brZV7L36/wbg9TWmZ0ah8HjHj+O8b8dz6PTVrCbR/Nczo5EXP5Wz95LYf7JnpvUTEnPD6NbvdPDuvnxoP1uw7wgN2GLZK27S1yl2R9YP8m/bpuDz0fmsKKbdEpVasqDbaC8NikJTVuXrH7Pl9IkU+ehjwzg/dnr+P8V36k/9hpft83e1V0R/B9d9aR6o0LXp3JLJ/tl5SGv6zNtwfm1r2xfbfv9LmZG8QYW54Ol5axesd+d3vAdo3rAEcmrf7XD6s57tGqfWZNVXgostXnyzxGUi8z1pA3r327io/mbmD2qp3sT4DSmT+P+zmsn9fjgSnuxz/7GfH89o/n8WGUb1qjZcAT0xk3c03Et7O3qJg9PsNAJCdZDfBembHK/dy6nQfYcyA2qhc12ApCvkcbE9/2JvHqnZlr2efT+H3V9v28/eMafl6zmy0VBBhfLdoStfZTnlUcLpf/6yevErifIjB9g2/x/7gf15Rb583vV/PF/E1h33Z1lFQyPMdnv27kje9WVfh6qKo7A8Wgp/Lp8cAUthQU0cCesNbVZuuXdbvDlr54t3aHc+2L/vjaLLreP7ncZMsT5m1yvONMOEVyfLrHJy0p99yHczbUyKEifH9PIqnMUO536LBd6+F5SRr+/Lfc/GFslNJqsBUEz6os3yLoeFbmp0BkaRANGx+YEJ3xx/yV2JSWGT77rdyYuWE10+fH5Xc/U9E8/MViRr//a0TTEQ5PTl7KIxPLX/DD5aH/hXYufDx3PYs2eU9F89XCyPdiipYdhYcY+2XF+7+ycewWbSrgjRiYv3DMJwv41O4RebikjBv+8yv/rYHBQiQU2yXv6xJg3L65a6N3k3Tqs98y7B/feT3XsLZ107bGY9ql/YdKvZadpMFWAKPf/4UQp4+MWbuq2XsjlNGWq+KzX/0HVTd94P9O5YmvfuerhaE3eN1R6L1fpi/1Ls1csCG0eeqiaeOeyI4V995PofVie2rKMoqKraB6X5FVougZfxhj+DVGSroOl5RxuKQMY0zQ35156/d4VWt4WrixoNLZGaL541WZdbsOcNOH8ygtM0z73erpWlxqGPni9xEtNa0JFmwsoKzMMPDJ6bzlETjPXr2LwkMl5IyZyH2fLQxYUvjrut08/IUOsl0ZV0GB63vz9WLrXF21fX/YJ8WuDg22Avhi/maSPMZiOblTE79FwE4NTRCKkrIy/mP/WM5cGXwj0d37D7Mpwj/iq3fs5/4JwTW03FtUjDGGl/JX8mYYSgLSfMamGnpMU6/lcI97NH3ptqh2WzbGsKPwkFcV4IbdB5hTjSrZcA7X8PSUpV6fN3ftLn5Zt5s/vPQjBw+XsmhTgbuDRLQcKinlR7sB/w3/+ZUr/vUTv6zbTe+Hv67S56z2qA58cfoKDpeU+S3BW7Z1n/u7dV8UGhpXxQMTFnHtu78A8Pm8jcxbX+AuNd1/qKRc25ivFm5h456DlJSWUVpmWLk9Or1Ot+0tqnBaFydnxHjoi8VetSSu8b7embWWJZsqH7j2f/M2h+XaVpk1O/ZX2Lh9z4HDcTWbSM6YifzlnTnu5fdmrXUwNRYNtoLgeY7NWLadW/z01Dn6nq/IGTOROz6ZH9G0FBworrCnYLA8u9rf+d8FALw3O/iTccveIvqPnRaxxrMlpWUMeio/6PV7PDCFo+60SgiKq9lgvqzMsM1upzbmv97HcOoS75HPv/QoPavox7+ktCxgIOIqdbryXz/zbhQvBvsPl7K5oMhdogTw4P8Wc94rM4N6vzEmLPP1+frst0187HEjc+7LMzn3ZStNx9z3FSOe/75cz8VQvZK/koUbj5RUTv99G89MWQpYgeS3y3Zw8RvW8B9fLdrCjyt3utNUFS/nr3A/fnLyUvKXbuOF6dZzf3x1JuN+WM3GPQc59dlv6T92WkwOwfBvj3PUc1T70jLDJW/MZuAT08l7cjpL7Gr3a9+dy4ljp3Hx67Npf9ckhjw9g5LSMnLGTGT9rupVq63ZsT9ge6fzX5nJHR/7vw4v9tMkoDLhGPO0nUfppWf7oUMe3z/PktKvF2/l33Yj84/nrHcH+4F8s2RrlYdRKSou5fr3rAD6h5U73I3bpy7e6vUdP/ahr/nntOVeQezanfu9fouu+Fd4OxqE0wMhNncIh4QOtjLTqz+A/u79h90nmmcJwQc/r/eq9liyea9XqVdpmam0VGjb3qJKL7Q9H5rCG98HV3RvjKGouJTCQyVejc2HPjPDa72hz8yo1ngzXe+f7A7SNuw+wHSP6VjW7NgfMNj4bf2ecr118pduo8PdX1Y5LS5VGfX/UEkZb32/ig9/Xs/gp/Pp+9g35IyZiL9YdsoiqxSiqLiUrXuPbMM3rfd9vpCcMRM595WZdLrnSybM28Qx93qPEQZWwHuiR4/Pp79eVqW2Sp5dn4Pxz2nLAeu4uNqgLd26jy/tgU89h1ooOFjMDyt2uEsijDFepRYrthXS99FvIjJo6kdzK++lNXXJVvfcaNe/N5fhz31b7R9ugLFf/c7bP65xB81XjvuZ56dZJU8XvT6L696bC8BL+SvIyvC+Xnjmv/BQCcYYysoMOWMmuodOcAX/RcVlfPjzendaR/17rvu9s1fv4oH/LfY6H45//Jtq5ynaHp+0hN/W72FvUQlrdh7gjk/mu88r8O7E4uoBPeCJ6ew/VMLgp/I5VFLK5gLrmmiM4cXpyykrM35LWl/9dqXfm11Pa3cdYNHmIwF0dTtxQPjHFfQc7HPAE9Pdj3cfKOaXdbutoRMmLOLezxeRM2Yit348n4vfmM1Cu11jzpiJXPLGLPYVFbNoUwE3f/gb93++kLIyw5/fnuN1bd9ZeMj9vV6/64D7HP9u+XbW7zrAtN+3MnnRFiYu2EzOmIls9fjdufqdObzxnXdJ2j+mLqfng1NYv+sAxz/2DSc/mc/3K3awcGMB1/x7DqpyYZmuJ141ykwjuZrzNRSXlnH0vV/yz4t6cdCn19wfXvqRX+49hfSUJIY/9x0ntGvE34Z0oKwMNhUc5PaP57Nm7AiWbN7Lqu37Ob17M0SEggPFnPnC92SmpzD15pP54Of1nNunlXvKFdePzGOTfmfUwPZ+01VaZkiy58X77LeN3PTBPLq2qEv7Jpk8f1EvvxeeUAaVvPvThVzSry3PTFnGf3/dyJqxIwDIeyqfB8/qyh96t6R2ajIpfqaNOfvFHwBYM3YE63cdoElWesh3Rxt2H2Tpln0cOFxCrzYNAPjentfsuKMaIAhpKVZathQU8dDU4BqPj/r3XJY+MozOfgKn75Zv51BxKUO7NOOdmVbwOc9u13bDf6xG9HuLijn+sW+YfmseK7YV8nd7wNEXpx8p8bj23bnu/XeopJT0FGsGg937D7Nky176t2/MpW/M5qZTOnHuyz/SrnEdpt2a57fXpq+npyzj3N6tyLNLDG/pfmT/e3pu6nKenWqNg9W+SR1evrQPL+ev5FO7/dwnfz2BZ+xxsq6z74jD6dd1eyp93XMokIn2dCADnpjOikeHk5KcxC0f/sYfj2tD36MaAtZ+r5uRWu5zPp67gVvtH+3SMkOHu79k9eOnu1/vdI93EP3EV0vLfcZ17/3CH3Nbu8f58fTR3A185FECM2HeJibMi43eq+Hm24h//oYC/lrBueE59tR/flrHqh373QMW3zS0E38ecBRPTl5GvVpp3PPZQqbefDLjflzNvWd0YfOeIg749Bw85ZkZfD76RNJTkml/1ySWPDQMsOa13baviKZZGZz2j28ZNbA95/VpFc5sV8vmCm6k7/p0QaXv+2n1kcDzhxU76e4xvATgvqaB1Zu3a4u69LGHZFkzdgQDnpjOU+f3pEGZ4Yo3/XfyWmRXZboa81dUKOAZJI7/eR3tm2S6Z63wJTg3ELavBRsLyHNw+wkdbIWi72PWnaerDYMvzzYdM1ftZKafgfOGP2f1pvjzSUdx7xld6PmQ9QXayiF3tdjr361i3JV9+eBn7wv65IWbad80k5/X7ObO/y5gwQOn0vvhr72q0U7ras3RtWjTXhZt2supXbMj0oPuz+N+dk8y/OjExdw9ogtg3U25xpx5/qJejOjenIUbC6iTnkKHppnu96/esZ9BT+Vz5Yk5YUnPaf+wRi92BS7XvmuVIriGdJh688m0b1LHbpQa/FfAdxR7l8vsi9fx7RpW+F7Xfuj3mHeJxZOTvX/Eb/7gN1o3rMVz31hB2LJHhtPLPpfWjB3B9yt2uO9WV+3Yz9qd+91BWSAVjZ3myRVoAazcvp9TfUaCrk4VWiT4BnqFh0qoXzuNT37ZyJy1uxl3ZV+aZqXT44EpvHhxb1o2qMWzXy/jb4M7sKWgiDFfHSkd+a8dSFZnvDJ/gZYKjm8v2WenLnOff/d8thA4Ugrfv31jr2P+67rdPDt1Ocu3FdLlviMB3DH3HfmOzl9fQGrKPpZtLeTWj+bR76iKv5/x7nWPUqhzXvqR5y/qVW6drXuL2FtJr0jXNXzgk1Yw9cX8zdx3RlGlnWwCzX8YK4FWLJBQilgjKTc318yZE9miyUWbCpiRP4Mn5nv/WDkRjb92WR+vqoVouKV7CU8vCH+8fcspnXjaZ5RwX8sfHU7HEKoLg/Hw2d247Pi27hJBlwmjT+Ti12dzTaeiiOQ/nDo3y+L3LVbVw71ndPHbI6lxZlq5HpSBROrYO+mxP3R3lxA0q5vhNVZc06x0ttlBak3Me1Ukcv6rk/fKfg9iqeSmIk+c24Pb7bbEiX7srzpvBHVCaD4UiIjMNcbk+nstLG22RGSYiCwVkRUiMsbP6+ki8oH9+mwRyQnHdiPFiS9PtAOtSAoUaAERD7QA7v1sYblAC+CsF36Im3nLXIEWUGHX76oGWjWVZ1WM76C823T6H1VNlf0exHqgBbgDrVgUjg4IVeHb5CeaQg62RCQZeBEYDnQBLhKRLj6r/RnYbYzpADwL/F+o21XRE+0vRDBiMU2JzLfpox6f6NN9ruJNPASr4RKOkq2+wApjzCpjzGFgPDDSZ52RwNv244+BISLVbJmuoi4WvxCuNOlJFBt8WyNUds54HjO9CgQW7C6Kxe+p8pYop7t+r8sLuc2WiJwHDDPGXG0vXwb0M8aM9lhnob3OBnt5pb3ODp/PGgWMAsjOzu4zfvz4kNIWSFFxKfv2FbIlsuNzxqzsWrA1QfMOiZ1/zbvTqXBOIuc/kfMOiZ3/7FrQsH5dUpIiFwkOGjSowjZbMdVSzhjzGvAaWA3k8/LyIro9VwP5pxcE15urpknkxpKQ2PmPh7xHqvFxrOc90o2uXfmv6nbioTF4ILF27EXKlwpHUqzlPxyCPS9v6V7C4FP70zgzPdJJ8isc1YgbgdYey63s5/yuIyIpQD0g+PlhlKpApEurtTTcOfH+w15d0cp3VbeTqMcjFIGuHzE6GEDIonXdjKcbgHAEWz8DHUXkKBFJAy4EJvisMwG43H58HjDNxOqYEyquRPok0pNUKVVdiXr9iNUbBieFHGwZY0qA0cBkYAnwoTFmkYg8JCJn2au9CTQSkRXAzUC54SFUYvn8+hOjsp1bT+1U7rm7Tu8clW0rFW1aEht+uk/Dryr7NJz738kinrCMs2WMmWSM6WSMaW+MedR+7j5jzAT7cZEx5nxjTAdjTF9jTHCT+9VgNwzu4LXsGu3cn5M7NfH7fF+PEZG/vmlgeBIWBsseGQ5Ap+xMr+cnjLYCrJM7NaFn6/ru5y87vm1E0rFm7AhGD+5Y7vnjchryjz8eG5FthtuH15zgfjz3nqHlXu/Vuj7f3HJyNJMUk544twfzHzjVvXzLKZ04o0dzAOpmpHBOr5ZOJS2q4ulOvyqOy2kQ8mf8+aSjKn29oh/1YHvWxhLP2SwW2N+LND9TpgXiOQ1QOFXlPA3nOd04My2Mn1Y1CT0RdShc0yEM6dzU7+sPj+zGG3/y7pSQ5XHRv/nUo93PuwKlm4YeCQyeuaCneztvX9WXqTd7/6AueWgYH15zAssfHc6bl+fSoWkmX980kNcu68MzF/TkzctzuWHIkc9rnJnG6sdPj0iJ0ozb8shpVBuAr/4+wP0FHda1Gef3aUWX5nVZM3YEPVrVZ83YEbx9VV+v9z98djeuGdiOD0YdH5b0HNu6PiO6N3cvD+nclCGdm3LfGV04oV0jOmVncXavllW+kFx7sv/5KF1+ufeUCl/7mx1cP3V+z0o/Y9kjw5l3/6lc3Lc1//5zX/oe1dAdbDeyG3b+MfdIE8lPrz+ROmmRa/D6pxO8A+H6tcvPM+iESTcM8Foe2auFew7EW07pxOjBHXjh4t5cM7Ads+4awthze/D9HYNY+sgwurWo5/VeV+ckz7kRlTNevayP1/IxzbMAeOkS7+dXPDqc/17XH4DRgzpw+zDrevrsH498v/57XX/3Tew5vVpy7xm+wz96q86PeqwEtwM6NnY/zm3bgAfO6upezrK/F7ee1ok2DWtX+Bmu6Ywu7tsGgFO6ZLPskeE16nvh5IhTNatbQhWVlhlKq1mu2L99I544rwenHJNNVkYKHTxGRB/WrRmX2T9SI7o356K+bcjNaUBGajIrtxfSoI4VXfuWZt04tBMpyUJ6SjLn9G7F2ce2JMn+JejQNJP/O7c7d3yygF5t6lMrzepBmZqcxJBjrDkQO2Zn0TE7y/15nbKzWLixgJE9W9CgThoi4lWiFC5tG9XhTyfk8OGc9XRuVhewSqtO6dKM7q3qVfi+y45vy9It1uSnd55+DACtG9Zi/a7Q+iZ/al+EXV68pDcAGanJXOVxd9uwThpQQvsmdVi5fX+ln5mVkcIdw44mOQlenL7S67XfHx5GmTHUriToueXUo+ncrC6ndc3mvD6teHXGSh7/8ne+v2MQJ/2fNRfZkM5NSUtJIi0licfO6eF+r2dw+vn1J9K5eRbZddPJaVwHgNTk4C4ga8aO4MLXZtr53kD92qnsOVDMv644jmvfncuhkjKWPDSMsV8uIX/Zds4+tiU3DunINSe35/1Za+nULIshx2QzZ82ukCcMD1WXFnXdj09o18h91/6/0SfRrkkd90XVdV4BtGpg/dCIWIFV/tLtXDnuZ87r08q9L11uGtqRZ6cuD5iORQ+exoKNBbw/ey3H5TTkwOFSHv/ydwBuO+1o5q3fw5TFWzm5UxNmLNvOeX1a8bHHBNWJ5t9/7uueS/THMYPpP3YaZ/RoznfLdzDnnqEk2cdt0YOnMfSZGUy6YQC7DxTTsE4aa8aO4LaP5vHR3A2kJCfRu00D/vOX4zm+XUNEhFED2pGSnMRNH1jzXh7bqj4Ar1zah56tK74ORVN6SlKlc3Ce0iWbrxf7n9TZ062nduKN71az52AxADcO6ch3y62RlD7+a3+MMXRpXpezerYA4PITcsg7uimblqwHDvO3wR3457QV5DSqzRp7vsTWDWsze/UuHjunO+//tI4se1ob3wDlmoHtePVbq3Jq7DndSUoSbv84dkepd6ks0IyGhA62Nuyu/o96ZnoKF+S2Lve8iPXldnH90Lu0b5JZ6R3W9YOOlEYl+YwH8sfj2rC14BCDj/FfmuardcPavHXFceWe/8uAo7wmLv3tvlM49qGvy60XyJuX53JiB+uO6qqTjuLy/jnu1x4+u1vA9z98djd8+0lMumEA/565lid8JmgO1smdmpS7OGSk+h/ao0lmOr/cO4jDJWUs27qP75fvoHXDWtz7+aJy6y544DQAbjuts1ewddtpR3t9/qrHTuf9n9bRrnEdlm3dx/m5rZmy2JqsdUSPI6VtF/Vrw9It+9wBwBk9mvNIEPvMFSx7loymBFE9MMeughw/6gQKD5Xwr483MHPMEHfQ3jE7k4Ub91IrLZkHR3ajrMwgYl1oW9avxW3DjrRz69WmAZf2a8Mjf+judzqkUNx6aieemlLxdE8vXtybRnZVwKfX9ad+7TRyGtV2H/PKgntPIsIgu1S6Wd0MrsuzSh4b1klj1/7D3Di0E52bZTFvQwEv5a9k1p1DGPDENK+J3l03S8e3a8Tx7Rq5n++YnUm3lvVompXBN0u2MmXxVurVSmXFo8MpKTN8PHcDmekpXlNGNaubwZBjmvLe7HUAXNE/h3E/rgkqL077/PoTGfniD+7l+87owgXHtabb/ZPLrXtcjlV6MmpgO5rXy+C9q/u5ryEuvz88jIzUZGbeOQRw3RRZjm6WRQOP0tUT2h/Z757fg7aNaruvn8O6NQsle2HVsE4amwusqaTuPr0zj06yAvMXL+7tvj5c8+85TF60lX9deRxjPplPj1b1aZqVznuz1/GvK4+jWd0Mjmlel9GDO1JcWsbuA4dpmpVBl+Z1GdrFuvEWESbdeKT098GRVknXpiVHzttbTj2abfuK6PvoN7x2WR+27C1y3wi0aVibAZ28jwvAPy/qxZk9WzBqYDsembiEkzo2pnFmOh2aZnLOSz9GaK+FR71azpbKJ3SwVR2uOxPfH/CzejZn5LEtIz6Gxw1Dy7dBqqq7Tj/GHWx1bJpJ/dppPHhWV+6fUD7IqMg1A9u5S9RckqsxWJxvYJSVkcp1gzpQVFLG898ELlkA+PuQjnTMzuL6939hR2HV5sBzXcib1ctgoF1dt+dAsdf8jr6lgUOPyWbqEuvu8/pB3m3vkpKES+02aP3tH5E/9GpVbrt1M1J5xm431r5JHc7q2YL6tSPXnsDzvHQN6ud5vM4+tiVNszLcy76Bvqd6tVJ55A/dw57GJIFBnZu6g62TOjSmeb0MPpq7gRuHdGTBxgK6taxL20ZWKVSvNqG345lzz1Dqe1yEZ945mH1FVhB0WrfmHNUkkymLt9KsXgYpSUkUl5ZySb827qDIn8Gds8s916NVPVKSk0ixLxuTbxrIiWOnATB+1PG0alCLVg1qs23vIdo0rMU9Z3SJuWArOUkoLStfE9CzdX1e/1MuOwsP0TgznZM6NiYjNZlaacmc2cO6Lv62fg9Lt+wjPSWJ/zu3OxfktkZEygVaUPHNEVjtri7u16bSdN4z4hha1K/l97WmWelAdOfHGz/qeC58bRYAN53SyV0KNLJXS3ewle7RpOGJ83ry0MhSsutm8NWNA0lPTeKpydZ3YtDR3jfaqclJ7u/tZ9efGHQpt0vTrAy+ueVk2jfJ5Iv5m9zP59+a53UNuOv0zuQd3ZROds1Jo8x0nvVo99q7TQOv62KsGda1GbAv4HqRpMFWEJIEXNeYQyVlrHqsfB328xf1LvdcrPIMcP5jt5M6u1fLoIOtY5rX9aqeiYSbT+kUfLB1itXj8IbxQsemmQHWDiy7bobX8g6fSYzzjm4S1ovKN7fkhe2zgpGRmkz3lvW82qxdPaAdVw9oF9V0+Hr47G509WhP9dqf+nDwcCm/b9nHTaeU71UaDr43R+kpyaRnHvmx75Sd5W4v+eplfSgrM3RvVa/KvZquOvFI9fXKx04nOUl47+p+XPLGbK9SsdcvP9LOs2PTTJZvK6zahiLok7/259yXf6S0zHhVJYFV/eVryUPD3I89g6o/Hld5sFQZEam0uh6o9Dy2vtuVNxkIt752aV69WqlckNvab5Vbm0ZHqrjq1Up1l8K4mpw0zgp8I1bdxuztm1jXzGFdmzHN7mzje7M1amDl7VUBLj2+TcwEWy9d0psnJy9l9Q7rWN8wpCPblv3iaJq0gXwAn/y1P743c5Xd9ceTuhmp7h+bqhSxRnK6A0+/3Vdxg3N/Jv99IPed2TXwigEUl3m3qdi4x7u6+bw+5UuqElXLCkoQguVZterZqQGgdloKjTLT+d/fTgppG+EysFMT8jo3pVFmOo+dE1zJnqtxsuc1w1Wi2K1FPb9Dk7jcGWNDlBzbuj6LHrSq0xtnpvPV3wfw+8PDArxLiVi9Kb/6+5FqvTYNa9O4TjpPn9+TH8YMDniTeGX/o8p1kgq3lOQk2jUJ/WbVn2j/Yp7evTlT7I5n6SlJXm08naLBVgB92npXVTg11H8k1E6v3jRFd0W4VMulop4jv1bQ669D00yv9h3V5WpX4uJZKgFWyVCL+hkMrqAnaiw5vl1D6taKXAG2b++xqjq1S7bXECbgbPfscDsupwGz7LZHvurVTvU7NIlL36MaUTvN+anErstr7w6qXB0ROjfPonOzupVW+SlreB4R4aNr+9O83pEbk+b1MkhKEs7t04qW9WsF7CVXKy2ZDmEotY+kRnUq/m0Md6/NO4Z1LjckUju7k4urt3aqfa7Gym+2BltB6NWmvvvx93cMci4hYZbs5ws+NIjG956NUiOpbkb5IGHsOd3dResAXSNwx9KqgXdpTbeW5bfx0bX9Aw7jEAtevTSXL2+M3Bhs3VpWr5fXJf3a8MjZ3TirZwt3GymXM+0eVDWBiNCsXkbgFf3ITE9xvGq3a4u6/DWvvTuoSkoSVj9+OgM6+h/7T3lrX0FJUawEAOEUbOeUcDita7bX8BYA++wOJ/sPH7meXJ/XPmZKiDXYCsKVHiUbNeVOburNA72CFoCXL+nNQyO7sfDB03jrCr8Tl3NR3+q3t6gq37u9Y5plebVvASIyxpRvm5BzepevNmxZv1ZYStHCoVYl52S92qkhV/UF8tIlVW+v+MjZ3bj0+LaICMu3Wg1XXfv94r5tODYCQ5TEo6MaR7a7epbPDU1WRgqNM9OonZbMmrEjmHjDAHdVqIuTYxVFwhk9mgdeqQqu9OiVfZ+fnuefX39iwDG/4tWpftruRUKZn0aTrs4buR61UbcN68wZPWLj5k0byFfCVY9+Vs8WlJSWcdenCxxOUfh0aJrFhsXezw33aDPjr0cVWF3So+nvQzvyD3u8oy//Xr6EprolKzWJ000I+/lUAwYyoGNjrx/sEp9GkR2zs/gsStM5Jbrm9TLYV2Q1wr+kXxuObpZFbtuGFJVEt8deNF1+QlvenrnWvfz0BT35Yv7msH3+/Wd1pcxAuyZ13EOreIrEWIex4uVL+7Bh9wFOfjI/ottp3bA2KUlWWVHttGQOHC6lSWY6Zx/bggujWCBQFRpsVcKzvcQ5vVv5LeFINL5VbNFyt087sZ/uHsKh4rJqV9Ekgs7NsgKv5IDTunqPexRPY0rVZI+c3a3GlVr5M7JXS3ewdVrXbNJTwldbkZFqBQCuca0STXKS0LZRnXIBbbh5HrOze7WkSWY67ZrUYeSxsTstl1YjVsLPkDIJpd9RDWnXpE7gFSPINQXLXwZ6t11pmpVB64a13Y0gI8Vzvr140NujfeF7V/dzLiGV8B1k0tUgvjrjtKnQ9DvqSLV8IgRaAA09xrPzrSINlWsGjUT34MjAAzSHw59OaMuZPVpw0ymdYjrQAi3ZqpSJmZmvnPHBNSdwuKSMTvd8GXjlCLmob5tyvdWiqW6YL8aRdsupRyNYgUujGG2E69s4+KqTjmJol2wNtvzwnccxnETg/jO7cHn/tjSI4IC6scZzaqYDh0sqWbNq6qQnu+eIVVYtSCiztATjoSgFdeEQUrAlIg2BD4AcYA1wgTFmt886xwIvA3Wxhu591BjzQSjbjZas9Pj6oa2JaqUla7usKvA3InesSEtO4nBp+XnhaqelaIlABTpmZ3H/mV148H+LA69cRcZYYyt1aBqb1c3RsMWeOiccvrxhoONTwsSSHq3qRTzYiiehlmyNAb4xxowVkTH28h0+6xwA/mSMWS4iLYC5IjLZGLMnxG1H3OVRbgweDxK7rE+F4uJ+bbyGUVHB8RyfKZyy68ZmyWc0/bJuD+A9S4g/w7o246tFW/y+9t3tg2jVIPBYWYlm057wBbIu/Y5qyLV5gUezj0WhNngZCbxtP34bONt3BWPMMmPMcvvxJmAbEPODtJzbu1VMTWDqlNRk4R8ec2Alii7NtaQl3Gat2hnz7Spi0WldI9Odvk66tiJx9aQNpQq7dcPaGmj50aJ++DsvDT0mu9z8kPFCTFUn+fJ8s8geY0x9+7EAu13LFazfFyso62qMKVefICKjgFEA2dnZfcaPH1/ttAVj78Fiig4eYKufks4OTTMrHb+oJigsLCQzM7hRicsMLNpUQLeW9aI+9UKkVJb/ouJSSsoMmXHyg7RgYwENa6fRMsjeolU59oGUlhkWb94bcL36tdNo7VBvVk/hzHu0LNhYENL7k0TcYxNl14KtB63x2WJ9VPJwcx171/6sm5FK20a12br3ENv2VVwSU69WKgUHi/2+1j2OmjlE89xft+tAhfusulrUr0Wjao5vGI28Dxo0aK4xxu8glQGDLRGZCvgr4rkbeNszuBKR3caYBn7WRUSaA/nA5caYWYESnZuba+bMmRNotZBMWrCZlfN/4ukF5X9Q14wdEdFtx4L8/Hzy8vKcToZjakr+S0rL6HD3l0y5aSCdsoNrfxPOvO8sPESfR6YGXO+cXi15JgZKSePxuOeMmRjS+11jEQHc0r2Epxek0K1lXb7424AA76xZXMf+nJd+5Jd1u+nRqh4TRp/Ejyt2cPEbsyt8X2XViPH0WxHNc/+69+YyaYH/fVZdD5zZhSt8pk8LVjTyLiIVBlsBqxGNMUONMd38/H0ObLWDKFcwta2CBNQFJgJ3BxNoKaXiR2W3a5EevV5VX4sItQWLB3cMOxqofPYFFZqkCFStXnBc67B/ZrSE2mZrAnC5/fhy4HPfFUQkDfgUeMcY83GI21NKxZjKpkz64m8n8eBZiTnAY6w5yaOn6nMXHssjf4ifbvPh5tvGKpg2W8fllK+08fecsoR7KJe2jWqXm0otnoQabI0FThGR5cBQexkRyRWRN+x1LgAGAleIyG/237EhblcpFSMqu4GtnZ5MGx17yHH92zfymkC+U3YWTbMSd/aFwyXeTYb7tG3A+wEGAa7l54f+o2v7hzVdNYnvBPOJLqQw0RizExji5/k5wNX243eBd0PZTqT4zsmmlAov8ehOcWbP2JgQNtEM79aMp87vycQF4Zv/L94d7TOVVUpyEv0DjFGXFuHZKmqaSFQjxrOEPnuKiv1PttpbxwJScSiEjsUhqWjKpJM6NCYt5chrgzrHZ5fteJeZnkKd9BQG6/53a5JV9THGRh7rfbNwVGNnpzJLNPsPxffk6AkdbPmbqLdvTkP+e92JDqRGqdDUSXemsW9FbTPOz9WJ251w45COAFzU17sxsWdQnJqspQ4A6UE2kN93qNirZPa0rtm8fWXfSCWrRthz4HBYP686AXIsid/WZmHQvkkmM5xOhFI1lFa7xAbfAs+GddJo1UDb0b1yaW+OahzcuEvJSd7ncsv6tbUtYgDpqfr995TQwZY/Vw+o3hgeSjktlkaxfv8v/ejT1uqp1bZhbdrqD1NIGmemsaOweiUFvsMbtKhXiwwd8oBh3Zo7nQQVpM7NsshtG989PzX09HFqV52iR8UnJ8cM8h1pv3/7xqSnWOlp1ySTGbcNciJZCcnVNqtXG+vHKdxd8BPZU+f3BOBQSXy3H4o3n/y1P/ed2cXpZIREgy2lVMjq1051OgnK1rN1fVY/fjoX5Hq32dIBPAN76ZLefp/fvd8qVTzVnqeyeb3EHTbDCXXSUyrsiBMv4jv1SqmYUKbDqERUUXG5qWQr5a9KWQu4AmtRwYwHrrkU0+3etUm6M6Pm6pNqRtMeDbaUinOu8WyKS6v2gxxOmRna/DOSLj2+bVDrNfNT4lIrzSrRcgdgGidU2Z3DOwO4q8ZTk/SnM1ruPP0Yp5MQFnrGKBXnXHfZZU4NtKUizjWXXyCz7iw3xjRZdiCcnCTMvWeoxlrVcM3J7Z1OQtwZeWzLsHxOTWlzqMGWUkrFuFB6mjauc2R8okaZ8T1WUaTVjJ/12HBBbmuurWaQuujB08KcGudpsKWUClm7IMcrUtX3+Dndq/ye724fxDm9w1PCkAi6tKgb1HoxNMpKTKvufqqTXvOaJWiwpZQKWXUCAVU13VvWq/J7WjesTUqc9+KKpmB6vD1xXo+wVZGpxBHSt1BEGorI1yKy3P5f4ahjIlJXRDaIyAuhbDOcUnTKCqXCokGdNKeToFRUXJDbOu6njolVLepl8Pqfcp1ORkSEesszBvjGGNMR+MZersjDwLchbi+sdDoRpZRSKjZk18vglC7WWGbLHx3OikeHO5yi8Ak12hgJvG0/fhs4299KItIHyAamhLg9pZRSKmou0AnVHZGanFSjqsBDzUm2MWaz/XgLVkDlRUSSgKeBW0PcVsT0bF3f6SQopVRIXANuqvBqVldHi6+uLB1/z01MgLF5RGQq4G/CwLuBt40x9T3W3W2M8Wq3JSKjgdrGmCdE5Aog1xgzuoJtjQJGAWRnZ/cZP358FbJSPdt2FXDQpLK3qBioXiPUeFVYWEhmZuL2IqtJ+V+wsYDOzeqSGmQ7xEjk3TXKNsT29yhej3tRcSnLtxVW+HqSCF2D6E0Xr/kPh2Dy7nkeAzTNyiC7bs1ooxXtY19mYNGmgsAr2mqnpdC+SZ2IpCUaeR80aNBcY4zfRmcBg63KiMhSIM8Ys1lEmgP5xpijfdZ5DxgAlAGZQBrwkjGmsvZd5Obmmjlz5lQ7bcEwxvDC+xOYV9KSqUu2ArBm7IiIbjOW5Ofnk5eX53QyHFOT8p8zZiIz7xxM83r+pxvxFYm854yZ6H4cy9+jeD3uCzcWcMY/v6/w9bN6tuD5i3oF/Jx4zX84BJN3z/MY4IbBHbj51OAGlY11Thx73/3pcs3Adrz67Sqv53q1qc+n150YkXREI+8iUmGwFWoZ3wTgcmCs/f9z3xWMMZd4JOQKrJKtSgMtpVT8atOwttNJqJEyUiuvJnzmgp5RSolS4SUCNX0CjFAr+ccCp4jIcmCovYyI5IrIG6EmLlqKikudToJSIbmifw4NY2T4hQmjI3NnmujaN8nk29sGVfh6TWpMrGqOpkEMk/HhNSdEISXOCunbaYzZaYwZYozpaIwZaozZZT8/xxhztZ/1x1XUXstJTWtIfbxKXA+c1dU9Sa7T6teOjaCvphER2jQ6UmrYuVmWg6lRKjgfX9vfa9k11WGPVvXdzyVCJwS9FQKuPqmd00lQSqkqSU+NjeC6pqtbK9XpJMS1xlneN1/vXNUPgBE9mpdbd/f+w1FJkxO0XybQqmFwjYqVUipW9G5Tn3nr9zidjBqpWd0M/ja4A83qZdC/fWOnkxPXknwmSKysx2xGDb6B0GALSEnSaXuUUvHlrtOP4V8/rHE6GTXOpBsGUCc9mbaNIjMEQaLxDaAa1Enz21v5suPb0im75g5JosGWUkrFoWAmTVZV1yWIscpUeNWtlcrDZ3dzOhkRpd9WyhdzKqWqrqYM/KiUip4BHRtTLwHaxSV0yZaI0K1FvRpdT6yUUkrFog9GHU/LBonRZjqhgy2wBlNzaZUgB12pSGhUJ51dNbg3kVIqvPq1a+R0EqIm4YMtl39dkUtmRs0vylQqUp678Fj2HSpxOhk13ltX5PLDip1OJ0MpVQUabNkGdc52OglKxbWO2TrIZjQM7pzNYL1eKRVXtIG8UkoppVQEabCllFJKKRVBGmwppZRSSkWQBltKKaWUirjh3Zo5nQTHhBRsiUhDEflaRJbb/xtUsF4bEZkiIktEZLGI5ISyXaWUUkrFl0SeAinUkq0xwDfGmI7AN/ayP+8ATxpjjgH6AttC3K5SSimlVFwINdgaCbxtP34bONt3BRHpAqQYY74GMMYUGmMOhLhdpZRStiaZOlWSUrEs1GAr2xiz2X68BfA3+EsnYI+I/FdEfhWRJ0VE58dRSqkQnd7dagMz7qrjHE6JUhX768ntnE6C48QYU/kKIlMBf63a7gbeNsbU91h3tzHGq92WiJwHvAn0AtYBHwCTjDFv+tnWKGAUQHZ2dp/x48dXKTPVUVhYSGZmZsS3E4sSOe+Q2PnXvNeMvO8+UMyG3Qfo3rJe0O+pSfmvqkTOOzib/wUbC2iSlU6zuhmObD8aeR80aNBcY0yu3xeNMdX+A5YCze3HzYGlftY5HpjhsXwZ8GKgz+7Tp4+JhunTp0dlO7EokfNuTGLnX/NeM3w0Z71pe8cXVXpPTcp/VSVy3o1xNv9t7/jCPD5piWPbj0begTmmgpgm1GrECcDl9uPLgc/9rPMzUF9EmtjLg4HFIW5XKaWUUnEkNVmcToJjQg22xgKniMhyYKi9jIjkisgbAMaYUuBW4BsRWQAI8HqI21VKKaVUnHj5kt5cdkJbp5PhmJAmojbG7ASG+Hl+DnC1x/LXQI9QtqWUUkqp+DS8e3Onk+AoHUFeKaXiVCJXyygVTzTYUkqpOJWcpMGWUvFAgy2llIpTpWWVD92jlIoNGmwppVScSk/R8aGVigcabCmlVJwa1LkJH4w63ulkKKUC0GBLKaXiVHpKMv3aNXI6GUqpADTYUkoppZSKIA22lFJKKaUiSIMtpZRSSqkI0mBLKaWUUiqCNNhSSimllIogMSY2B8UTke3A2ihsqjGwIwrbiUWJnHdI7Pxr3hNXIuc/kfMOiZ3/aOS9rTGmib8XYjbYihYRmWOMyXU6HU5I5LxDYudf856YeYfEzn8i5x0SO/9O512rEZVSSimlIkiDLaWUUkqpCNJgC15zOgEOSuS8Q2LnX/OeuBI5/4mcd0js/Dua94Rvs6WUUkopFUlasqWUUkopFUEJG2yJyDARWSoiK0RkjNPpiaRAeRWRK0Rku4j8Zv9d7UQ6o0VE3hKRbSKy0Om0RFKgfIpInogUeBz3+6KdxmgSkdYiMl1EFovIIhG50ek0RUoweU2k4y8iGSLyk4jMs/fHg06nKVKCyWsCXvOTReRXEfnCqTSkOLVhJ4lIMvAicAqwAfhZRCYYYxY7m7Lwq0JePzDGjI56Ap0xDngBeMfhdETaOALn8ztjzBnRSY7jSoBbjDG/iEgWMFdEvq6J33uCz2uiHP9DwGBjTKGIpALfi8iXxphZTicsAoLNayJd828ElgB1nUpAopZs9QVWGGNWGWMOA+OBkQ6nKVISKa9BMcZ8C+xyOh2Rlij5DJYxZrMx5hf78T6si29LZ1MVGYmU12AYS6G9mGr/1cgGy4mU12CISCtgBPCGk+lI1GCrJbDeY3kDNfdCFGxezxWR+SLysYi0jk7SVAw4wa5u+FJEujqdmGgRkRygFzDb4aREXIC8Jszxt6uSfgO2AV8bY2rssQ8yr4lyzf8HcDtQ5mQiEjXYUt7+B+QYY3oAXwNvO5weFR2/YE0v0RP4J/CZs8mJDhHJBD4B/m6M2et0eiIpQF4T6vgbY0qNMccCrYC+ItLN4SRFTBB5TYhrvoicAWwzxsx1Oi2JGmxtBDwj+Vb2czVRwLwaY3YaYw7Zi28AfaKUNuUgY8xeV3WDMWYSkCoijR1OVkTZbVg+Ad4zxvzX6fREUqC8JuLxBzDG7AGmA8McTkrEVZTXBLrmnwicJSJrsJrQDBaRd51ISKIGWz8DHUXkKBFJAy4EJjicpkgJmFcRae6xeBZW+w5Vw4lIMxER+3FfrOvBTmdTFTl2Xt8ElhhjnnE6PZEUTF4T6fiLSBMRqW8/roXVYeh3RxMVIcHkNVGu+caYO40xrYwxOVi/fdOMMZc6kZaE7I1ojCkRkdHAZCAZeMsYs8jhZEVERXkVkYeAOcaYCcANInIWVg+mXcAVjiU4CkTkP0Ae0FhENgD3G2PedDZV4ecvn1iNZTHGvAKcB/xVREqAg8CFpmaPcnwicBmwwG7PAnCXXapT0/jNK9AGEvL4NwfetntnJwEfGmMcGwYgwvzmNZGv+bFAR5BXSimllIqgRK1GVEoppZSKCg22lFJKKaUiSIMtpZRSSqkI0mBLKaWUUiqCNNhSSimllIogDbaUUnFNRBqJyG/23xYR2Wg/LhSRl5xOn1JK6dAPSqkaQ0QeAAqNMU85nRallHLRki2lVI0kInki8oX9+AEReVtEvhORtSJyjog8ISILROQre2obRKSPiMwQkbkiMtlnpG2llKoWDbaUUomiPTAYa3qSd4HpxpjuWKOnj7ADrn8C5xlj+gBvAY86lVilVM2RkNP1KKUS0pfGmGIRWYA1ddVX9vMLgBzgaKAb8LU9ZWAysNmBdCqlahgNtpRSieIQgDGmTESKPeYBLMO6FgqwyBhzglMJVErVTFqNqJRSlqVAExE5AUBEUkWkq8NpUkrVABpsKaUUYIw5DJwH/J+IzAN+A/o7miilVI2gQz8opZRSSkWQlmwppZRSSkWQBltKKaWUUhGkwZZSSimlVARpsKWUUkopFUEabCmllFJKRZAGW0oppZRSEaTBllJKKaVUBGmwpZRSSikVQf8PgtuagaiuNecAAAAASUVORK5CYII=",
      "text/plain": [
       "<Figure size 720x216 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Audio data descriptive statistics\n",
      "sample rate: 22050\n",
      "min-value: -0.590811550617218\n",
      "max-value: 0.6781206130981445\n",
      "std: 0.06416857987642288\n",
      "mean: -0.00011007406283169985\n",
      "median: -0.00022552625159732997\n",
      "skew: 0.10919576954024834\n",
      "kurtosis: 13.455818013961117\n",
      "\n",
      " \n",
      "\n",
      "Statictics for MFCC extract\n",
      "min-value: -271.5353698730469\n",
      "max-value: 200.83717346191406\n",
      "std: 55.58979797363281\n",
      "mean: -7.844954013824463\n",
      "median: -1.9894559383392334\n",
      "skew: -1.4556669445241217\n",
      "kurtosis: 14.8034616362376\n",
      "105289-8-0-1.wav 8\n"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 720x216 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Audio data descriptive statistics\n",
      "sample rate: 22050\n",
      "min-value: -0.03913983330130577\n",
      "max-value: 0.03749914839863777\n",
      "std: 0.009146975353360176\n",
      "mean: -0.00047269350034184754\n",
      "median: -0.00046390443458221853\n",
      "skew: -0.011015238006332499\n",
      "kurtosis: 0.05490613208748396\n",
      "\n",
      " \n",
      "\n",
      "Statictics for MFCC extract\n",
      "min-value: -416.93310546875\n",
      "max-value: 147.21722412109375\n",
      "std: 70.00984954833984\n",
      "mean: -7.1622490882873535\n",
      "median: -2.5411758422851562\n",
      "skew: -4.7369682687007515\n",
      "kurtosis: 26.934994410641234\n"
     ]
    }
   ],
   "source": [
    "# trying out 10 random audio samples from random classes\n",
    "for i in range(0,10):\n",
    "      random_folder = f'fold{random.choice(range(1,10))}'\n",
    "      random_file = random.choice(os.listdir(config.AUDIO_FILES_PATH +'/'+ random_folder))\n",
    "      class_file = int(random_file.split('-')[1])\n",
    "      audio_file = os.path.join(random_folder,random_file)\n",
    "\n",
    "      print(random_file,class_file)\n",
    "\n",
    "      #display frequency \n",
    "      plt.figure(figsize=(10,3))\n",
    "      sample_audio = os.path.join(config.AUDIO_FILES_PATH, audio_file)\n",
    "      audio_data, sample_rate = librosa.load(sample_audio)\n",
    "      librosa.display.waveshow(audio_data,sample_rate)\n",
    "      plt.title(f'wave form of a sample of audio data from the {audio_classes[class_file]} class')\n",
    "      plt.grid(True)\n",
    "      plt.show()\n",
    "\n",
    "      # some descriptive stats on raw and normalised audio data \n",
    "      print(f'Audio data descriptive statistics')\n",
    "      print(f'sample rate: {sample_rate}')\n",
    "      print(f'min-value: {np.min(audio_data)}')\n",
    "      print(f'max-value: {np.max(audio_data)}')\n",
    "      print(f'std: {np.std(audio_data)}')\n",
    "      print(f'mean: {np.mean(audio_data)}')\n",
    "      print(f'median: {np.median(audio_data)}')\n",
    "      print(f'skew: {skew(audio_data)}')\n",
    "      print(f'kurtosis: {kurtosis(audio_data)}')\n",
    "\n",
    "\n",
    "      print('\\n \\n')\n",
    "      # Mel-Frequency extract stats\n",
    "      mfcc = librosa.feature.mfcc(y=audio_data,\n",
    "                              sr=sample_rate,\n",
    "                              n_mfcc=config.N_DIMS)\n",
    "      mfcc = np.mean(mfcc.T, axis=0) # normalize the MFCC values\n",
    "\n",
    "      print(f'Statictics for MFCC extract')\n",
    "      print(f'min-value: {np.min(mfcc)}')\n",
    "      print(f'max-value: {np.max(mfcc)}')\n",
    "      print(f'std: {np.std(mfcc)}')\n",
    "      print(f'mean: {np.mean(mfcc)}')\n",
    "      print(f'median: {np.median(mfcc)}')\n",
    "      print(f'skew: {skew(mfcc)}')\n",
    "      print(f'kurtosis: {kurtosis(mfcc)}')\n",
    "\n",
    "      # play audio\n",
    "      playsound(sample_audio)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "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",
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       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>slice_file_name</th>\n",
       "      <th>fold</th>\n",
       "      <th>classID</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>3655</th>\n",
       "      <td>174994-3-0-0.wav</td>\n",
       "      <td>2</td>\n",
       "      <td>3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5523</th>\n",
       "      <td>208030-3-2-0.wav</td>\n",
       "      <td>6</td>\n",
       "      <td>3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1227</th>\n",
       "      <td>128891-3-0-5.wav</td>\n",
       "      <td>6</td>\n",
       "      <td>3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7625</th>\n",
       "      <td>73373-3-0-0.wav</td>\n",
       "      <td>3</td>\n",
       "      <td>3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8352</th>\n",
       "      <td>89211-3-0-0.wav</td>\n",
       "      <td>2</td>\n",
       "      <td>3</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "       slice_file_name  fold  classID\n",
       "3655  174994-3-0-0.wav     2        3\n",
       "5523  208030-3-2-0.wav     6        3\n",
       "1227  128891-3-0-5.wav     6        3\n",
       "7625   73373-3-0-0.wav     3        3\n",
       "8352   89211-3-0-0.wav     2        3"
      ]
     },
     "execution_count": 10,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# check frequency cepstrums of similar classes\n",
    "# choosing the dog_bark class with a class ID of 3\n",
    "dog_bark = df[df['class'] == 'dog_bark']\n",
    "dog_bark = dog_bark[['slice_file_name','fold','classID']].sample(5)\n",
    "dog_bark"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 720x216 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "sample rate: 22050\n",
      "min-value: -1.0185065269470215\n",
      "max-value: 1.0131117105484009\n",
      "std: 0.1255032867193222\n",
      "mean: -6.787472375435755e-05\n",
      "median: -2.327606125618331e-05\n",
      "skew: -0.040931925904171905\n",
      "kurtosis: 15.235364890037761\n",
      "\n",
      " \n",
      "\n",
      "Statictics for MFCC extract\n",
      "min-value: -315.4433288574219\n",
      "max-value: 48.863677978515625\n",
      "std: 50.69683074951172\n",
      "mean: -7.098263740539551\n",
      "median: -0.4014313220977783\n",
      "skew: -5.590776826667513\n",
      "kurtosis: 31.258207074067712\n"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 720x216 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "sample rate: 22050\n",
      "min-value: -0.8053655624389648\n",
      "max-value: 0.7894430160522461\n",
      "std: 0.28485924005508423\n",
      "mean: 4.2704723455244675e-05\n",
      "median: 7.759586878819391e-06\n",
      "skew: -0.021073871471071107\n",
      "kurtosis: 1.5230223680895962\n",
      "\n",
      " \n",
      "\n",
      "Statictics for MFCC extract\n",
      "min-value: -170.59446716308594\n",
      "max-value: 68.39925384521484\n",
      "std: 33.603206634521484\n",
      "mean: -6.644901275634766\n",
      "median: -0.2478421926498413\n",
      "skew: -3.2666301041985313\n",
      "kurtosis: 13.684133427516912\n"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 720x216 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "sample rate: 22050\n",
      "min-value: -1.0072475671768188\n",
      "max-value: 1.01010262966156\n",
      "std: 0.15104269981384277\n",
      "mean: -0.00010931943688774481\n",
      "median: -0.0018372246995568275\n",
      "skew: -0.010707852086850688\n",
      "kurtosis: 20.97045980702515\n",
      "\n",
      " \n",
      "\n",
      "Statictics for MFCC extract\n",
      "min-value: -307.1558837890625\n",
      "max-value: 127.65139770507812\n",
      "std: 53.45051574707031\n",
      "mean: -1.0933470726013184\n",
      "median: 0.2485601007938385\n",
      "skew: -4.319908036561039\n",
      "kurtosis: 24.737979886871948\n"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 720x216 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "sample rate: 22050\n",
      "min-value: -0.6231462955474854\n",
      "max-value: 0.6015058159828186\n",
      "std: 0.07645634561777115\n",
      "mean: -3.913229193130974e-06\n",
      "median: -0.0001948339049704373\n",
      "skew: -0.019368589839254685\n",
      "kurtosis: 10.23744879748865\n",
      "\n",
      " \n",
      "\n",
      "Statictics for MFCC extract\n",
      "min-value: -286.5202331542969\n",
      "max-value: 165.0008087158203\n",
      "std: 52.72163391113281\n",
      "mean: -2.431753158569336\n",
      "median: 1.2893266677856445\n",
      "skew: -3.1159929205472237\n",
      "kurtosis: 20.624688728407722\n"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 720x216 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "sample rate: 22050\n",
      "min-value: -0.9171563386917114\n",
      "max-value: 0.7935304641723633\n",
      "std: 0.1535770744085312\n",
      "mean: -0.00014331539568956941\n",
      "median: -0.0004417219606693834\n",
      "skew: -0.08063307249469735\n",
      "kurtosis: 6.450692766517571\n",
      "\n",
      " \n",
      "\n",
      "Statictics for MFCC extract\n",
      "min-value: -272.7659606933594\n",
      "max-value: 109.40040588378906\n",
      "std: 47.01430892944336\n",
      "mean: -4.089378833770752\n",
      "median: 1.5794742107391357\n",
      "skew: -4.314213917647658\n",
      "kurtosis: 24.51955897956318\n"
     ]
    }
   ],
   "source": [
    "file_name = list(dog_bark.slice_file_name)\n",
    "folder = list(dog_bark.fold)\n",
    "\n",
    "for filename, fold in zip(file_name, folder):\n",
    "      audio_file = os.path.join(f'fold{str(fold)}',filename)\n",
    "\n",
    "      plt.figure(figsize=(10,3))\n",
    "      sample_audio = os.path.join(config.AUDIO_FILES_PATH,audio_file)\n",
    "      audio_data, sample_rate = librosa.load(sample_audio)\n",
    "      librosa.display.waveshow(audio_data,sample_rate)\n",
    "      plt.title(f'wave form of a sample of audio data from the {audio_classes[3]} class')\n",
    "      plt.grid(True)\n",
    "      plt.show()\n",
    "\n",
    "      print(f'sample rate: {sample_rate}')\n",
    "      print(f'min-value: {np.min(audio_data)}')\n",
    "      print(f'max-value: {np.max(audio_data)}')\n",
    "      print(f'std: {np.std(audio_data)}')\n",
    "      print(f'mean: {np.mean(audio_data)}')\n",
    "      print(f'median: {np.median(audio_data)}')\n",
    "      print(f'skew: {skew(audio_data)}')\n",
    "      print(f'kurtosis: {kurtosis(audio_data)}')\n",
    "\n",
    "      print('\\n \\n')\n",
    "\n",
    "      # Mel-Frequency extract stats\n",
    "      mfcc = librosa.feature.mfcc(y=audio_data,\n",
    "                              sr=sample_rate,\n",
    "                              n_mfcc=config.N_DIMS)\n",
    "      mfcc = np.mean(mfcc.T, axis=0) # normalize the MFCC values\n",
    "\n",
    "      print(f'Statictics for MFCC extract')\n",
    "      print(f'min-value: {np.min(mfcc)}')\n",
    "      print(f'max-value: {np.max(mfcc)}')\n",
    "      print(f'std: {np.std(mfcc)}')\n",
    "      print(f'mean: {np.mean(mfcc)}')\n",
    "      print(f'median: {np.median(mfcc)}')\n",
    "      print(f'skew: {skew(mfcc)}')\n",
    "      print(f'kurtosis: {kurtosis(mfcc)}')\n",
    "\n",
    "\n",
    "      # play audio\n",
    "      playsound(sample_audio)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {},
   "outputs": [],
   "source": [
    "# dataset from new audio folders location\n",
    "folders_labels = []\n",
    "audio_paths = []\n",
    "\n",
    "dirs = os.listdir(config.SAVE_PATH)\n",
    "for dir in dirs:\n",
    "      audios = os.listdir(os.path.join(config.SAVE_PATH, dir))\n",
    "      for audio in audios:\n",
    "            audio_paths.append(os.path.join(config.SAVE_PATH, dir) + '/' + audio)\n",
    "            folders_labels.append(dir)"
   ]
  },
  {
   "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>Audio-path</th>\n",
       "      <th>label</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>dataset/car_horn/7389-1-1-0.wav</td>\n",
       "      <td>car_horn</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>dataset/car_horn/72259-1-9-5.wav</td>\n",
       "      <td>car_horn</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>dataset/car_horn/183894-1-8-0.wav</td>\n",
       "      <td>car_horn</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>dataset/car_horn/43802-1-1-0.wav</td>\n",
       "      <td>car_horn</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>dataset/car_horn/94868-1-0-0.wav</td>\n",
       "      <td>car_horn</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8727</th>\n",
       "      <td>dataset/drilling/39532-4-1-0.wav</td>\n",
       "      <td>drilling</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8728</th>\n",
       "      <td>dataset/drilling/151005-4-0-0.wav</td>\n",
       "      <td>drilling</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8729</th>\n",
       "      <td>dataset/drilling/58005-4-0-32.wav</td>\n",
       "      <td>drilling</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8730</th>\n",
       "      <td>dataset/drilling/77751-4-0-1.wav</td>\n",
       "      <td>drilling</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8731</th>\n",
       "      <td>dataset/drilling/180125-4-2-14.wav</td>\n",
       "      <td>drilling</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>8732 rows × 2 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "                              Audio-path     label\n",
       "0        dataset/car_horn/7389-1-1-0.wav  car_horn\n",
       "1       dataset/car_horn/72259-1-9-5.wav  car_horn\n",
       "2      dataset/car_horn/183894-1-8-0.wav  car_horn\n",
       "3       dataset/car_horn/43802-1-1-0.wav  car_horn\n",
       "4       dataset/car_horn/94868-1-0-0.wav  car_horn\n",
       "...                                  ...       ...\n",
       "8727    dataset/drilling/39532-4-1-0.wav  drilling\n",
       "8728   dataset/drilling/151005-4-0-0.wav  drilling\n",
       "8729   dataset/drilling/58005-4-0-32.wav  drilling\n",
       "8730    dataset/drilling/77751-4-0-1.wav  drilling\n",
       "8731  dataset/drilling/180125-4-2-14.wav  drilling\n",
       "\n",
       "[8732 rows x 2 columns]"
      ]
     },
     "execution_count": 13,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "audio_df = pd.DataFrame({'Audio-path':audio_paths, 'label':folders_labels})\n",
    "audio_df"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {},
   "outputs": [],
   "source": [
    "min_value_lst = []\n",
    "max_value_lst = []\n",
    "std_lst = []\n",
    "mean_lst = []\n",
    "median_lst = []\n",
    "skew_lst = []\n",
    "kurtosis_lst = []"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
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     ]
    }
   ],
   "source": [
    "# extract features\n",
    "feature_extract = []\n",
    "\n",
    "audio_paths = list(audio_df['Audio-path'])\n",
    "for audio, count in zip(audio_paths, range(len(audio_paths))):\n",
    "      features = utils.extract_features(audio)\n",
    "      feature_extract.append(features) \n",
    "\n",
    "      # MFCC Stats data \n",
    "      min_value_lst.append(np.min(features))\n",
    "      max_value_lst.append(np.max(features))\n",
    "      std_lst.append(np.std(features))\n",
    "      mean_lst.append(np.mean(features))\n",
    "      median_lst.append(np.median(features))\n",
    "      skew_lst.append(skew(features))\n",
    "      kurtosis_lst.append(kurtosis(features))\n",
    "\n",
    "      print(f'done for audio {count}')\n",
    "\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "8732\n"
     ]
    },
    {
     "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>Audio-path</th>\n",
       "      <th>label</th>\n",
       "      <th>MFCC-features</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>dataset/car_horn/7389-1-1-0.wav</td>\n",
       "      <td>car_horn</td>\n",
       "      <td>[-121.55058, 65.45534, -32.427902, 34.492073, ...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>dataset/car_horn/72259-1-9-5.wav</td>\n",
       "      <td>car_horn</td>\n",
       "      <td>[-126.84716, 115.87754, -55.64741, 42.58142, -...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>dataset/car_horn/183894-1-8-0.wav</td>\n",
       "      <td>car_horn</td>\n",
       "      <td>[-252.9698, 167.19125, -39.19234, 4.9301143, -...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>dataset/car_horn/43802-1-1-0.wav</td>\n",
       "      <td>car_horn</td>\n",
       "      <td>[-132.8113, 55.07116, -1.1111865, 34.076862, 2...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>dataset/car_horn/94868-1-0-0.wav</td>\n",
       "      <td>car_horn</td>\n",
       "      <td>[-264.63226, -33.122623, -17.734629, 40.243603...</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                          Audio-path     label  \\\n",
       "0    dataset/car_horn/7389-1-1-0.wav  car_horn   \n",
       "1   dataset/car_horn/72259-1-9-5.wav  car_horn   \n",
       "2  dataset/car_horn/183894-1-8-0.wav  car_horn   \n",
       "3   dataset/car_horn/43802-1-1-0.wav  car_horn   \n",
       "4   dataset/car_horn/94868-1-0-0.wav  car_horn   \n",
       "\n",
       "                                       MFCC-features  \n",
       "0  [-121.55058, 65.45534, -32.427902, 34.492073, ...  \n",
       "1  [-126.84716, 115.87754, -55.64741, 42.58142, -...  \n",
       "2  [-252.9698, 167.19125, -39.19234, 4.9301143, -...  \n",
       "3  [-132.8113, 55.07116, -1.1111865, 34.076862, 2...  \n",
       "4  [-264.63226, -33.122623, -17.734629, 40.243603...  "
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "print(len(feature_extract))\n",
    "\n",
    "# dataf = pd.DataFrame({'feature_extract':feature_extract})\n",
    "# dataf\n",
    "audio_df['MFCC-features'] = feature_extract\n",
    "display(audio_df.head(5))\n",
    "\n",
    "audio_df.to_csv(config.EXTRACTED_FEATURE_SAVE_PATH)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "metadata": {},
   "outputs": [],
   "source": [
    "X = np.array(audio_df['MFCC-features'].tolist())\n",
    "y = np.array(audio_df['label'].tolist())"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "metadata": {},
   "outputs": [],
   "source": [
    "# save data\n",
    "with open(config.PICKLE_SAVE_PATHS + 'Xvalues', 'wb') as f:\n",
    "      pkl.dump(X, f)\n",
    "with open(config.PICKLE_SAVE_PATHS + 'yvalues', 'wb') as f:\n",
    "      pkl.dump(y, f)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
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       "    .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>min_value</th>\n",
       "      <th>max_value</th>\n",
       "      <th>std</th>\n",
       "      <th>mean</th>\n",
       "      <th>median</th>\n",
       "      <th>skew</th>\n",
       "      <th>kurtosis</th>\n",
       "      <th>labels</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>-121.550583</td>\n",
       "      <td>65.455338</td>\n",
       "      <td>24.580328</td>\n",
       "      <td>-2.251909</td>\n",
       "      <td>-0.704169</td>\n",
       "      <td>-2.281909</td>\n",
       "      <td>12.540225</td>\n",
       "      <td>car_horn</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>-126.847160</td>\n",
       "      <td>115.877541</td>\n",
       "      <td>31.312759</td>\n",
       "      <td>-0.769311</td>\n",
       "      <td>0.445877</td>\n",
       "      <td>-0.430298</td>\n",
       "      <td>8.797351</td>\n",
       "      <td>car_horn</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>-252.969803</td>\n",
       "      <td>167.191254</td>\n",
       "      <td>48.798847</td>\n",
       "      <td>-2.647705</td>\n",
       "      <td>0.021331</td>\n",
       "      <td>-2.326509</td>\n",
       "      <td>17.988012</td>\n",
       "      <td>car_horn</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>-132.811295</td>\n",
       "      <td>55.071159</td>\n",
       "      <td>26.491137</td>\n",
       "      <td>1.429906</td>\n",
       "      <td>2.026098</td>\n",
       "      <td>-2.966784</td>\n",
       "      <td>14.084645</td>\n",
       "      <td>car_horn</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>-264.632263</td>\n",
       "      <td>40.243603</td>\n",
       "      <td>45.578289</td>\n",
       "      <td>-8.555743</td>\n",
       "      <td>-3.226343</td>\n",
       "      <td>-4.335254</td>\n",
       "      <td>22.043105</td>\n",
       "      <td>car_horn</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8727</th>\n",
       "      <td>-122.167442</td>\n",
       "      <td>27.085032</td>\n",
       "      <td>26.897406</td>\n",
       "      <td>-4.094758</td>\n",
       "      <td>3.500185</td>\n",
       "      <td>-2.720750</td>\n",
       "      <td>8.080559</td>\n",
       "      <td>drilling</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8728</th>\n",
       "      <td>-133.940567</td>\n",
       "      <td>35.603207</td>\n",
       "      <td>24.261259</td>\n",
       "      <td>-3.582786</td>\n",
       "      <td>0.624641</td>\n",
       "      <td>-3.836582</td>\n",
       "      <td>18.226357</td>\n",
       "      <td>drilling</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8729</th>\n",
       "      <td>-64.242607</td>\n",
       "      <td>43.882713</td>\n",
       "      <td>15.808039</td>\n",
       "      <td>-1.686942</td>\n",
       "      <td>-1.641500</td>\n",
       "      <td>-0.835131</td>\n",
       "      <td>5.579684</td>\n",
       "      <td>drilling</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8730</th>\n",
       "      <td>-178.893692</td>\n",
       "      <td>154.043915</td>\n",
       "      <td>38.440590</td>\n",
       "      <td>-1.373351</td>\n",
       "      <td>-2.573030</td>\n",
       "      <td>-0.785039</td>\n",
       "      <td>15.074829</td>\n",
       "      <td>drilling</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8731</th>\n",
       "      <td>-154.930405</td>\n",
       "      <td>106.317039</td>\n",
       "      <td>31.931393</td>\n",
       "      <td>-1.906043</td>\n",
       "      <td>-0.013887</td>\n",
       "      <td>-1.763262</td>\n",
       "      <td>13.638786</td>\n",
       "      <td>drilling</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>8732 rows × 8 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "       min_value   max_value        std      mean    median      skew  \\\n",
       "0    -121.550583   65.455338  24.580328 -2.251909 -0.704169 -2.281909   \n",
       "1    -126.847160  115.877541  31.312759 -0.769311  0.445877 -0.430298   \n",
       "2    -252.969803  167.191254  48.798847 -2.647705  0.021331 -2.326509   \n",
       "3    -132.811295   55.071159  26.491137  1.429906  2.026098 -2.966784   \n",
       "4    -264.632263   40.243603  45.578289 -8.555743 -3.226343 -4.335254   \n",
       "...          ...         ...        ...       ...       ...       ...   \n",
       "8727 -122.167442   27.085032  26.897406 -4.094758  3.500185 -2.720750   \n",
       "8728 -133.940567   35.603207  24.261259 -3.582786  0.624641 -3.836582   \n",
       "8729  -64.242607   43.882713  15.808039 -1.686942 -1.641500 -0.835131   \n",
       "8730 -178.893692  154.043915  38.440590 -1.373351 -2.573030 -0.785039   \n",
       "8731 -154.930405  106.317039  31.931393 -1.906043 -0.013887 -1.763262   \n",
       "\n",
       "       kurtosis    labels  \n",
       "0     12.540225  car_horn  \n",
       "1      8.797351  car_horn  \n",
       "2     17.988012  car_horn  \n",
       "3     14.084645  car_horn  \n",
       "4     22.043105  car_horn  \n",
       "...         ...       ...  \n",
       "8727   8.080559  drilling  \n",
       "8728  18.226357  drilling  \n",
       "8729   5.579684  drilling  \n",
       "8730  15.074829  drilling  \n",
       "8731  13.638786  drilling  \n",
       "\n",
       "[8732 rows x 8 columns]"
      ]
     },
     "execution_count": 19,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "mfcc_data = pd.DataFrame({'min_value':min_value_lst, 'max_value':max_value_lst, 'std':std_lst,\n",
    "                         'mean':mean_lst, 'median':median_lst, 'skew':skew_lst, 'kurtosis':kurtosis_lst})\n",
    "\n",
    "mfcc_data = mfcc_data.assign(labels=audio_df['label'])\n",
    "mfcc_data"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "metadata": {},
   "outputs": [],
   "source": [
    "mfcc_data.to_csv(config.EXTRACTED_MFCC_FEATURE_SAVE_PATH)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
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   "display_name": "Python 3.8.10 ('audio-env': venv)",
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