2070 lines
2.3 MiB
2070 lines
2.3 MiB
{
|
||
"cells": [
|
||
{
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||
"cell_type": "markdown",
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||
"id": "cda961ffb493d00c",
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||
"metadata": {
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||
"collapsed": false
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||
},
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||
"source": [
|
||
"# CSC 3105 Project"
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||
]
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||
},
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||
{
|
||
"cell_type": "markdown",
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||
"id": "73fe8802e95a784f",
|
||
"metadata": {
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||
"collapsed": false
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||
},
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||
"source": [
|
||
"# Data Preprocessing and Analysis"
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||
]
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||
},
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||
{
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||
"cell_type": "code",
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||
"execution_count": 1,
|
||
"id": "2aa3c6c09e8645d1",
|
||
"metadata": {
|
||
"ExecuteTime": {
|
||
"end_time": "2024-03-21T12:05:16.532199Z",
|
||
"start_time": "2024-03-21T12:05:10.492514Z"
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||
},
|
||
"collapsed": false
|
||
},
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||
"outputs": [
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||
{
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||
"name": "stdout",
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||
"output_type": "stream",
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"text": [
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"WARNING:tensorflow:From C:\\Users\\PC\\AppData\\Local\\Programs\\Python\\Python311\\Lib\\site-packages\\keras\\src\\losses.py:2976: The name tf.losses.sparse_softmax_cross_entropy is deprecated. Please use tf.compat.v1.losses.sparse_softmax_cross_entropy instead.\n"
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||
]
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||
}
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||
],
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"source": [
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||
"import os\n",
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||
"\n",
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"import matplotlib.pyplot as plt\n",
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||
"import numpy as np\n",
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"import pandas as pd\n",
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||
"import pywt\n",
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||
"import tensorflow as tf\n",
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||
"from skimage import restoration\n",
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||
"from sklearn.metrics import classification_report\n",
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||
"from sklearn.model_selection import train_test_split\n",
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||
"from sklearn.preprocessing import LabelEncoder\n",
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||
"from sklearn.preprocessing import StandardScaler\n",
|
||
"from tensorflow.keras import regularizers\n",
|
||
"from tensorflow.keras.callbacks import EarlyStopping\n",
|
||
"from tensorflow.keras.layers import Conv1D, Flatten, Dense, Dropout, BatchNormalization\n",
|
||
"from tensorflow.keras.models import Sequential\n",
|
||
"from tensorflow.keras.optimizers import Adam\n",
|
||
"from tensorflow.keras.models import Sequential\n",
|
||
"from tensorflow.keras.layers import Dense, Dropout, BatchNormalization\n",
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||
"from tensorflow.keras.callbacks import EarlyStopping\n",
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||
"from tensorflow.keras import regularizers\n",
|
||
"from tensorflow.keras.optimizers import Adam\n",
|
||
"from sklearn.metrics import classification_report, confusion_matrix, roc_curve, auc\n",
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||
"import matplotlib.pyplot as plt\n",
|
||
"import seaborn as sns\n",
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||
"\n"
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||
]
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||
},
|
||
{
|
||
"cell_type": "markdown",
|
||
"id": "e7597045d3c34419",
|
||
"metadata": {
|
||
"collapsed": false
|
||
},
|
||
"source": [
|
||
"# Load the Data\n",
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||
"\n",
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||
"This code block defines a function `load_data` to load the dataset from the specified directory. The function uses the `os` and `pandas` libraries to load the data from multiple CSV files into a single DataFrame. The `os` library is used to traverse the directory and find all the CSV files, while the `pandas` library is used to read the CSV files and concatenate them into a single DataFrame. The function then prints the shape of the original data."
|
||
]
|
||
},
|
||
{
|
||
"cell_type": "code",
|
||
"execution_count": 2,
|
||
"id": "7bcd7cfc8dd11cbb",
|
||
"metadata": {
|
||
"ExecuteTime": {
|
||
"end_time": "2024-03-21T12:05:35.543184Z",
|
||
"start_time": "2024-03-21T12:05:35.539640Z"
|
||
},
|
||
"collapsed": false
|
||
},
|
||
"outputs": [],
|
||
"source": [
|
||
"# Define the directory where the dataset is located\n",
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||
"DATASET_DIR = './UWB-LOS-NLOS-Data-Set/dataset'\n",
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"\n",
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"\n",
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||
"def load_data(dataset_dir):\n",
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||
" # Load the data\n",
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" # file_paths = [os.path.join(dirpath, file) for dirpath, _, filenames in os.walk(dataset_dir) for file in filenames if 'uwb_dataset_part7.csv' not in file]\n",
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||
" file_paths = [os.path.join(dirpath, file) for dirpath, _, filenames in os.walk(dataset_dir) for file in filenames]\n",
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||
" data = pd.concat((pd.read_csv(file_path) for file_path in file_paths))\n",
|
||
" print(f\"Original data shape: {data.shape}\")\n",
|
||
" return data\n"
|
||
]
|
||
},
|
||
{
|
||
"cell_type": "markdown",
|
||
"id": "8cdfcf73ad317dd5",
|
||
"metadata": {
|
||
"collapsed": false
|
||
},
|
||
"source": [
|
||
"# Statistical Analysis and Plots\n",
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"\n",
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"This code block defines a function `stat_analysis_and_plots` to perform statistical analysis and plot boxplots of the first 15 columns of the data. The function uses the `describe` method of the DataFrame to perform statistical analysis and the `boxplot` method of the `matplotlib` library to plot boxplots of the first 15 columns of the data. The boxplot is used to check for outliers in the data."
|
||
]
|
||
},
|
||
{
|
||
"cell_type": "code",
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||
"execution_count": 3,
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||
"id": "9e0b1ed6f23a17cf",
|
||
"metadata": {
|
||
"ExecuteTime": {
|
||
"end_time": "2024-03-21T12:05:39.897831Z",
|
||
"start_time": "2024-03-21T12:05:39.894324Z"
|
||
},
|
||
"collapsed": false
|
||
},
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||
"outputs": [],
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||
"source": [
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||
"def stat_analysis_and_plots(data):\n",
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||
" # Statistical Analysis\n",
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||
" print(\"Statistical Analysis:\")\n",
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" print(data.describe())\n",
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"\n",
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" # Plot Boxplot to check for outliers for the first 15 columns\n",
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||
" print(\"Boxplot of the first 15 columns:\")\n",
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||
" fig, axs = plt.subplots(15, 1, dpi=95, figsize=(7, 17))\n",
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" for i, col in enumerate(data.columns[:15]):\n",
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" axs[i].boxplot(data[col], vert=False)\n",
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" axs[i].set_ylabel(col)\n",
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||
" plt.show()\n"
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||
]
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||
},
|
||
{
|
||
"cell_type": "markdown",
|
||
"id": "1dd92fe7b6881ea6",
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||
"metadata": {
|
||
"collapsed": false
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||
},
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||
"source": [
|
||
"# Channel Impulse Response (CIR) Graphs\n",
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"\n",
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"This code block defines a function `cir_graphs` to plot the Channel Impulse Response (CIR) for Line of Sight (LOS) and Non-Line of Sight (NLOS) data. The CIR is a sequence of values representing the channel response to a single impulse. It is used to characterize the channel in wireless communication systems."
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||
]
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||
},
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||
{
|
||
"cell_type": "code",
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||
"execution_count": 4,
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||
"id": "308d64639b199bc7",
|
||
"metadata": {
|
||
"ExecuteTime": {
|
||
"end_time": "2024-03-21T12:05:41.658844Z",
|
||
"start_time": "2024-03-21T12:05:41.653601Z"
|
||
},
|
||
"collapsed": false
|
||
},
|
||
"outputs": [],
|
||
"source": [
|
||
"def cir_graphs(data):\n",
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||
" # Separate the data into LOS and NLOS\n",
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" data_los = data[data['NLOS'] == 0]\n",
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" data_nlos = data[data['NLOS'] == 1]\n",
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"\n",
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" # Extract the CIR columns\n",
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" cir_columns = [col for col in data.columns if 'CIR' in col]\n",
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||
" data_los_cir = data_los[cir_columns]\n",
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||
" data_nlos_cir = data_nlos[cir_columns]\n",
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"\n",
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||
" # Calculate the magnitude and time for each CIR column\n",
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||
" time_los = np.arange(len(data_los_cir.columns))\n",
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||
" magnitude_los = np.linalg.norm(data_los_cir.values, axis=0)\n",
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||
"\n",
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||
" time_nlos = np.arange(len(data_nlos_cir.columns))\n",
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||
" magnitude_nlos = np.linalg.norm(data_nlos_cir.values, axis=0)\n",
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"\n",
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" # Plot the magnitude vs time for LOS\n",
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" plt.figure(figsize=(20, 10), dpi=300) # Increase figure size and DPI\n",
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" plt.plot(time_los, magnitude_los, linewidth=2) # Increase line width\n",
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" plt.title('Magnitude vs Time for LOS')\n",
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" plt.xlabel('Time (ns)')\n",
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" plt.ylabel('Magnitude')\n",
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||
" plt.xlim([600, max(time_los)]) # Set x-axis limits\n",
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" # plt.ylim([0, 2e6])\n",
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" plt.show()\n",
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"\n",
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" # Plot the magnitude vs time for NLOS\n",
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" plt.figure(figsize=(20, 10), dpi=300) # Increase figure size and DPI\n",
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" plt.plot(time_nlos, magnitude_nlos, linewidth=2) # Increase line width\n",
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||
" plt.title('Magnitude vs Time for NLOS')\n",
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" plt.xlabel('Time (ns)')\n",
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" plt.ylabel('Magnitude')\n",
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||
" plt.xlim([600, max(time_los)]) # Set x-axis limits\n",
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||
" # plt.ylim([0, 2e6])\n",
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||
" plt.show()\n"
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||
]
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||
},
|
||
{
|
||
"cell_type": "markdown",
|
||
"id": "531a6ffbad89ba15",
|
||
"metadata": {
|
||
"collapsed": false
|
||
},
|
||
"source": [
|
||
"# Calculate Total Distance\n",
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||
"\n",
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||
"This code block defines a function `calculate_total_distance` to calculate the total distance for each data point. The total distance is calculated as the sum of the absolute values of the Channel Impulse Response (CIR) columns multiplied by the speed of light in meters per nanosecond.\n",
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||
"\n",
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||
"$$\n",
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"\\text{Total Distance} = \\sum_{i=1}^{n} |CIR_i| \\times \\text{speed of light}\n",
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||
"$$\n",
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||
"where:\n",
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"- $n$ is the number of CIR columns\n",
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||
"- $CIR_i$ is the $i$-th CIR column\n",
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||
"- $\\text{speed of light}$ is the speed of light in meters per nanosecond"
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||
]
|
||
},
|
||
{
|
||
"cell_type": "code",
|
||
"execution_count": 5,
|
||
"id": "80cfcfac265d9357",
|
||
"metadata": {
|
||
"ExecuteTime": {
|
||
"end_time": "2024-03-21T12:05:44.069283Z",
|
||
"start_time": "2024-03-21T12:05:44.066364Z"
|
||
},
|
||
"collapsed": false
|
||
},
|
||
"outputs": [],
|
||
"source": [
|
||
"def calculate_total_distance(data):\n",
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||
" # Speed of light in meters per nanosecond\n",
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||
" speed_of_light_ns = 0.299792458\n",
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||
"\n",
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||
" # Extract the CIR columns\n",
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||
" cir_columns = [col for col in data.columns if 'CIR' in col]\n",
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||
"\n",
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||
" # Calculate the total distance for each row\n",
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||
" data['Total_Distance'] = data[cir_columns].abs().sum(axis=1) * speed_of_light_ns\n",
|
||
"\n",
|
||
" return data"
|
||
]
|
||
},
|
||
{
|
||
"cell_type": "markdown",
|
||
"id": "bfd97fbe797a7067",
|
||
"metadata": {
|
||
"collapsed": false
|
||
},
|
||
"source": [
|
||
"# Signal to Noise Ratio (SNR) Graph\n",
|
||
"\n",
|
||
"This code block defines a function `snr_graph` to plot the Signal to Noise Ratio (SNR) for Line of Sight (LOS) and Non-Line of Sight (NLOS) data. The SNR is calculated as the ratio of the 'CIR_PWR' to the 'STDEV_NOISE' for each data point."
|
||
]
|
||
},
|
||
{
|
||
"cell_type": "code",
|
||
"execution_count": 6,
|
||
"id": "4afc8d71b3271351",
|
||
"metadata": {
|
||
"ExecuteTime": {
|
||
"end_time": "2024-03-21T12:05:46.175335Z",
|
||
"start_time": "2024-03-21T12:05:46.170401Z"
|
||
},
|
||
"collapsed": false
|
||
},
|
||
"outputs": [],
|
||
"source": [
|
||
"\n",
|
||
"def snr_graph(data):\n",
|
||
" # Separate the data into LOS and NLOS\n",
|
||
" data_los = data[data['NLOS'] == 0]\n",
|
||
" data_nlos = data[data['NLOS'] == 1]\n",
|
||
"\n",
|
||
" # Extract the SNR values\n",
|
||
" snr_los = data_los['SNR']\n",
|
||
" snr_nlos = data_nlos['SNR']\n",
|
||
"\n",
|
||
" # Create a new figure\n",
|
||
" plt.figure(figsize=(10, 5))\n",
|
||
"\n",
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||
" # Plot SNR for LOS\n",
|
||
" plt.plot(snr_los, label='LOS')\n",
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||
"\n",
|
||
" # Plot SNR for NLOS\n",
|
||
" plt.plot(snr_nlos, color='red', label='NLOS')\n",
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||
"\n",
|
||
" # Set title and labels\n",
|
||
" plt.title('SNR for LOS and NLOS')\n",
|
||
" plt.xlabel('Index')\n",
|
||
" plt.ylabel('SNR')\n",
|
||
"\n",
|
||
" # Add a legend\n",
|
||
" plt.legend()\n",
|
||
"\n",
|
||
" # Show the plot\n",
|
||
" plt.show()\n"
|
||
]
|
||
},
|
||
{
|
||
"cell_type": "markdown",
|
||
"id": "74cbef5687382eea",
|
||
"metadata": {
|
||
"collapsed": false
|
||
},
|
||
"source": [
|
||
"# Plot Histogram\n",
|
||
"\n",
|
||
"This code block defines a function `plot_histogram` to plot a histogram of a given feature in the data for Line of Sight (LOS) and Non-Line of Sight (NLOS) data."
|
||
]
|
||
},
|
||
{
|
||
"cell_type": "code",
|
||
"execution_count": 7,
|
||
"id": "22025d6c8281fc09",
|
||
"metadata": {
|
||
"ExecuteTime": {
|
||
"end_time": "2024-03-21T12:05:48.433880Z",
|
||
"start_time": "2024-03-21T12:05:48.427111Z"
|
||
},
|
||
"collapsed": false
|
||
},
|
||
"outputs": [],
|
||
"source": [
|
||
"\n",
|
||
"\n",
|
||
"def plot_histogram(data, feature):\n",
|
||
" \"\"\"\n",
|
||
" Function to plot a histogram of a given feature in the data for 'NLOS' and 'LOS'.\n",
|
||
"\n",
|
||
" Parameters:\n",
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||
" data (pd.DataFrame): The data.\n",
|
||
" feature (str): The name of the feature to plot.\n",
|
||
"\n",
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||
" Returns:\n",
|
||
" None\n",
|
||
" \"\"\"\n",
|
||
" # Check if the feature exists in the data\n",
|
||
" if feature not in data.columns:\n",
|
||
" print(f\"The feature '{feature}' does not exist in the data.\")\n",
|
||
" return\n",
|
||
"\n",
|
||
" # Separate the data into 'NLOS' and 'LOS'\n",
|
||
" data_nlos = data[data['NLOS'] == 1]\n",
|
||
" data_los = data[data['NLOS'] == 0]\n",
|
||
"\n",
|
||
" # Create a figure with two subplots side by side\n",
|
||
" fig, axs = plt.subplots(1, 2, figsize=(10, 5))\n",
|
||
"\n",
|
||
" # Plot the histogram for 'NLOS'\n",
|
||
" axs[0].hist(data_nlos[feature], bins=30, edgecolor='black')\n",
|
||
" axs[0].set_title(f'Histogram of {feature} for NLOS')\n",
|
||
" axs[0].set_xlabel(feature)\n",
|
||
" axs[0].set_ylabel('Frequency')\n",
|
||
"\n",
|
||
" # Plot the histogram for 'LOS'\n",
|
||
" axs[1].hist(data_los[feature], bins=30, edgecolor='black')\n",
|
||
" axs[1].set_title(f'Histogram of {feature} for LOS')\n",
|
||
" axs[1].set_xlabel(feature)\n",
|
||
" axs[1].set_ylabel('Frequency')\n",
|
||
"\n",
|
||
" # Display the plots\n",
|
||
" plt.tight_layout()\n",
|
||
" plt.show()\n",
|
||
"\n",
|
||
"# Usage:\n",
|
||
"# plot_histogram(data, 'First_Path_Power_Level')"
|
||
]
|
||
},
|
||
{
|
||
"cell_type": "code",
|
||
"execution_count": 8,
|
||
"id": "ac4db13fed3f9916",
|
||
"metadata": {
|
||
"ExecuteTime": {
|
||
"end_time": "2024-03-21T12:05:50.542095Z",
|
||
"start_time": "2024-03-21T12:05:50.538349Z"
|
||
},
|
||
"collapsed": false
|
||
},
|
||
"outputs": [],
|
||
"source": [
|
||
"def plot_features(data, labels, feature1, feature2):\n",
|
||
" reds = labels == 1\n",
|
||
" blacks = labels == 0\n",
|
||
" plt.scatter(data[reds][feature1], data[reds][feature2], c=\"red\", s=20, edgecolor='k')\n",
|
||
" plt.scatter(data[blacks][feature1], data[blacks][feature2], c=\"yellow\", s=20, edgecolor='k')\n",
|
||
" plt.xlabel(feature1)\n",
|
||
" plt.ylabel(feature2)\n",
|
||
" plt.title(f\"Plot of data: {feature1} versus {feature2}\")\n",
|
||
" plt.show()"
|
||
]
|
||
},
|
||
{
|
||
"cell_type": "markdown",
|
||
"id": "69413268ac5b549d",
|
||
"metadata": {
|
||
"collapsed": false
|
||
},
|
||
"source": [
|
||
"## denoise_cir Function\n",
|
||
"\n",
|
||
"The `denoise_cir` function uses the Discrete Wavelet Transform (DWT) to denoise the Channel Impulse Response (CIR) values. The DWT is a linear transformation that operates on a data vector whose length is an integer power of two, transforming it into a numerically different vector of the same length. The DWT of a signal `x` is calculated as follows:\n",
|
||
"\n",
|
||
"1. **Wavelet Decomposition:**\n",
|
||
"\n",
|
||
" The input signal `x` is passed through two complementary filters and emerges as two signals. The filter outputs are decimated by 2 (down-sampled) to get the approximation coefficients (cA) and detail coefficients (cD).\n",
|
||
"\n",
|
||
" The approximation coefficients represent the high-scale, low-frequency component of the signal, while the detail coefficients represent the low-scale, high-frequency component.\n",
|
||
"\n",
|
||
"2. **Thresholding:**\n",
|
||
"\n",
|
||
" The detail coefficients are thresholded to remove noise. The thresholding function `T` applied to the detail coefficients `x` is defined as:\n",
|
||
"$$\n",
|
||
"T(x) = x * I(|x| > \\text{{value}}) \\quad \\text{{for 'hard' thresholding}}\n",
|
||
"$$\n",
|
||
"\n",
|
||
"$$\n",
|
||
"T(x) = \\text{{sign}}(x)(|x| - \\text{{value}})_+ \\quad \\text{{for 'soft' thresholding}}\n",
|
||
"$$\n",
|
||
"\n",
|
||
"where $I$ is the indicator function that is one if the argument is true and zero otherwise, $\\text{{value}}$ is the threshold value, and $(x)_+$ equals $x$ if $x > 0$ and zero otherwise.\n",
|
||
"\n",
|
||
"3. **Wavelet Reconstruction:**\n",
|
||
"\n",
|
||
" The original signal is reconstructed from the approximation and detail coefficients."
|
||
]
|
||
},
|
||
{
|
||
"cell_type": "code",
|
||
"execution_count": 9,
|
||
"id": "fe3089568e99a58d",
|
||
"metadata": {
|
||
"ExecuteTime": {
|
||
"end_time": "2024-03-21T12:05:52.476346Z",
|
||
"start_time": "2024-03-21T12:05:52.472568Z"
|
||
},
|
||
"collapsed": false
|
||
},
|
||
"outputs": [],
|
||
"source": [
|
||
"def denoise_cir(cir_values, wavelet='db1', level=1):\n",
|
||
" # Perform wavelet decomposition\n",
|
||
" coeffs = pywt.wavedec(cir_values, wavelet, level=level)\n",
|
||
"\n",
|
||
" # Set the detail coefficients to zero\n",
|
||
" for i in range(1, len(coeffs)):\n",
|
||
" coeffs[i] = pywt.threshold(coeffs[i], value=0.5, mode='soft')\n",
|
||
"\n",
|
||
" # Perform wavelet reconstruction\n",
|
||
" denoised_cir = pywt.waverec(coeffs, wavelet)\n",
|
||
"\n",
|
||
" return denoised_cir\n"
|
||
]
|
||
},
|
||
{
|
||
"cell_type": "markdown",
|
||
"id": "e1edd5ef4f54e752",
|
||
"metadata": {
|
||
"collapsed": false
|
||
},
|
||
"source": [
|
||
"## deconvolve_cir Function\n",
|
||
"\n",
|
||
"The `deconvolve_cir` function applies the Richardson-Lucy deconvolution algorithm to deconvolve the Channel Impulse Response (CIR) values. \n",
|
||
"\n",
|
||
"In the context of signal processing, deconvolution is the process of reversing the effects of convolution on a signal. Convolution is a mathematical operation that blends two functions together and is often used to describe the effect of a linear time-invariant system on a signal. Deconvolution, therefore, attempts to recover the original signal that was convolved with the system's impulse response to produce the current signal.\n",
|
||
"\n",
|
||
"The Richardson-Lucy algorithm is an iterative method for deconvolution. It is particularly suitable for cases where the impulse response of the system (also known as the Point Spread Function, or PSF) is known, and the noise is Poissonian (such as in astronomical images). \n",
|
||
"\n",
|
||
"The algorithm works by iteratively refining an estimate of the original signal. In each iteration, it performs a prediction step where it convolves the current estimate with the PSF to predict the observed signal, and a correction step where it computes the ratio of the observed signal to the predicted signal, convolves this ratio with the PSF, and multiplies the result with the current estimate to get the next estimate.\n",
|
||
"\n",
|
||
"This process is repeated for a fixed number of iterations, or until the estimate converges to a stable solution. The result is a denoised estimate of the original signal.\n",
|
||
"\n",
|
||
"The mathematical formulas involved in the Richardson-Lucy deconvolution algorithm are as follows:\n",
|
||
"\n",
|
||
"1. **Prediction Step:**\n",
|
||
"\n",
|
||
" The current estimate of the latent image `x` is convolved with the PSF `h` to predict the observed image `y`. This can be represented as:\n",
|
||
"\n",
|
||
"$$\n",
|
||
"y = h \\ast x\n",
|
||
"$$\n",
|
||
"\n",
|
||
"where $\\ast$ denotes the convolution operation.\n",
|
||
"\n",
|
||
"2. **Correction Step:**\n",
|
||
"\n",
|
||
"The ratio of the observed image $y$ to the predicted image $y'$ is computed, then the PSF $h$ is convolved with this ratio and multiplied with the current estimate $x$ to get the next estimate $x'$. This can be represented as:\n",
|
||
"\n",
|
||
"$$\n",
|
||
"x' = x \\cdot (h \\ast \\left(\\frac{y}{y'}\\right))\n",
|
||
"$$\n",
|
||
"\n",
|
||
"where $\\div$ denotes element-wise division and $\\ast$ denotes the convolution operation.\n"
|
||
]
|
||
},
|
||
{
|
||
"cell_type": "code",
|
||
"execution_count": 10,
|
||
"id": "670e8c2cf19126ea",
|
||
"metadata": {
|
||
"ExecuteTime": {
|
||
"end_time": "2024-03-21T12:05:54.971831Z",
|
||
"start_time": "2024-03-21T12:05:54.968502Z"
|
||
},
|
||
"collapsed": false
|
||
},
|
||
"outputs": [],
|
||
"source": [
|
||
"\n",
|
||
"def deconvolve_cir(cir_values, psf=None, iterations=50):\n",
|
||
" # If no point spread function is provided, create a simple one\n",
|
||
" if psf is None:\n",
|
||
" psf = np.ones((5,)) / 5\n",
|
||
"\n",
|
||
" # Perform Richardson-Lucy deconvolution\n",
|
||
" deconvolved_cir = restoration.richardson_lucy(cir_values, psf, num_iter=iterations)\n",
|
||
"\n",
|
||
" return deconvolved_cir"
|
||
]
|
||
},
|
||
{
|
||
"cell_type": "markdown",
|
||
"id": "b61e454327e5acbf",
|
||
"metadata": {
|
||
"collapsed": false
|
||
},
|
||
"source": [
|
||
"# Clean the Data\n",
|
||
"\n",
|
||
"This code block defines a function `clean_data` to clean the dataset. The function performs the following steps:\n",
|
||
"\n",
|
||
"1. **Drop Missing Values**: It drops any rows with missing values in the dataset.\n",
|
||
"2. **Drop Duplicate Rows**: It drops any duplicate rows in the dataset.\n",
|
||
"3. **Convert 'NLOS' Column to Integer**: It converts the 'NLOS' column to integer data type (0 for Line of Sight (LOS), 1 for Non-Line of Sight (NLOS)).\n",
|
||
"4. **Calculate 'RX_Level'**: It calculates the 'RX_Level' feature using the formula.\n",
|
||
"5. **Replace Zero Values in 'RX_Level'**: It replaces zero values in 'RX_Level' with the median of 'RX_Level'.\n",
|
||
"6. **Calculate 'First_Path_Power_Level'**: It calculates the 'First_Path_Power_Level' feature using the formula.\n",
|
||
"7. **Calculate 'SNR'**: It calculates the 'SNR' feature as the ratio of 'CIR_PWR' to 'STDEV_NOISE' for each data point.\n",
|
||
"8. **One-Hot Encode Categorical Features**: It one-hot encodes the categorical features 'CH', 'FRAME_LEN', 'PREAM_LEN', and 'BITRATE'.\n",
|
||
"9. **Denoise 'CIR' Columns**: It denoises the 'CIR' columns using the `denoise_cir` function.\n",
|
||
"10. **Drop Columns with Only One Unique Value**: It drops any columns that have only one unique value.\n",
|
||
"11. **Print the Shape of the Cleaned Data**: It prints the shape of the cleaned data.\n",
|
||
"12. **Return the Cleaned Data**: It returns the cleaned data."
|
||
]
|
||
},
|
||
{
|
||
"cell_type": "code",
|
||
"execution_count": 11,
|
||
"id": "685463c2d6065b08",
|
||
"metadata": {
|
||
"ExecuteTime": {
|
||
"end_time": "2024-03-21T12:05:59.248952Z",
|
||
"start_time": "2024-03-21T12:05:59.241423Z"
|
||
},
|
||
"collapsed": false
|
||
},
|
||
"outputs": [],
|
||
"source": [
|
||
"def clean_data(data):\n",
|
||
" print(\"Starting data cleaning process...\")\n",
|
||
"\n",
|
||
" # print(\"Before Cleaning\")\n",
|
||
" # stat_analysis_and_plots(data)\n",
|
||
"\n",
|
||
" # Calculate total number of missing values in the data\n",
|
||
" total_missing = data.isnull().sum().sum()\n",
|
||
" print(f\"Total number of missing values: {total_missing}\")\n",
|
||
"\n",
|
||
" # Data has no missing values\n",
|
||
" data = data.dropna()\n",
|
||
" print(\"Missing values dropped.\")\n",
|
||
"\n",
|
||
" # Data has no duplicate rows\n",
|
||
" data = data.drop_duplicates()\n",
|
||
" print(\"Duplicate rows dropped.\")\n",
|
||
"\n",
|
||
" # Convert 'NLOS' column to integer data type (0 for LOS, 1 for NLOS)\n",
|
||
" data['NLOS'] = data['NLOS'].astype(int)\n",
|
||
" print(\"'NLOS' column converted to integer data type.\")\n",
|
||
"\n",
|
||
" # Print line where CIR_PWR is 0\n",
|
||
" print(f\"Line where CIR_PWR is 0: {data[data['CIR_PWR'] == 0]}\")\n",
|
||
"\n",
|
||
" # Calculate the expression inside the log10 function\n",
|
||
" expression = (data['CIR_PWR'] * (2 ** 17)) / (data['RXPACC'] ** 2)\n",
|
||
"\n",
|
||
" # If the expression is 0, set 'RX_Level' to 0\n",
|
||
" zero_indices = expression == 0\n",
|
||
" data.loc[zero_indices, 'RX_Level'] = 0\n",
|
||
"\n",
|
||
" # For the rest of the data where the expression is not 0, calculate 'RX_Level'\n",
|
||
" # First, update the 'expression' and 'data' to exclude zero_indices\n",
|
||
" expression = expression.loc[~zero_indices]\n",
|
||
" data = data.loc[~zero_indices]\n",
|
||
"\n",
|
||
" # Now, calculate 'RX_Level' for the rest of the data\n",
|
||
" data['RX_Level'] = 10 * np.log10(expression) - data['PRFR']\n",
|
||
"\n",
|
||
" # Calculate the median of 'RX_Level'\n",
|
||
" median = data['RX_Level'].median()\n",
|
||
"\n",
|
||
" # Create the boolean mask on the same DataFrame 'data'\n",
|
||
" zero_indices = (data['RX_Level'] == 0)\n",
|
||
"\n",
|
||
" # Replace zero values in 'RX_Level' with the median\n",
|
||
" data.loc[zero_indices, 'RX_Level'] = median\n",
|
||
"\n",
|
||
" print(\"New feature 'RX_Level' created.\")\n",
|
||
"\n",
|
||
" # Calculate new feature 'First_Path_Power_Level'\n",
|
||
" data['First_Path_Power_Level'] = (10 * np.log10(\n",
|
||
" (data['FP_AMP1'] ** 2 + data['FP_AMP2'] ** 2 + data['FP_AMP3'] ** 2) / (data['RXPACC'] ** 2))) - 64\n",
|
||
" print(\"New feature 'First_Path_Power_Level' calculated.\")\n",
|
||
" data.drop(['FP_AMP1', 'FP_AMP2', 'FP_AMP3', 'RXPACC', 'PRFR'], axis=1, inplace=True)\n",
|
||
"\n",
|
||
" # Calculate SNR as the ratio of 'CIR_PWR' to 'STDEV_NOISE' for each data point\n",
|
||
" data['SNR'] = data['CIR_PWR'] / data['STDEV_NOISE']\n",
|
||
" print(\"New feature 'SNR' created.\")\n",
|
||
" data.drop(['CIR_PWR', 'STDEV_NOISE'], axis=1, inplace=True)\n",
|
||
"\n",
|
||
" plot_histogram(data, 'First_Path_Power_Level')\n",
|
||
" plot_histogram(data, 'RX_Level')\n",
|
||
"\n",
|
||
" # One-hot encode categorical features\n",
|
||
" categorical_features = ['CH', 'FRAME_LEN', 'PREAM_LEN', 'BITRATE']\n",
|
||
" encoder = LabelEncoder()\n",
|
||
" for feature in categorical_features:\n",
|
||
" data[feature] = encoder.fit_transform(data[feature])\n",
|
||
" print(\"Categorical features one-hot encoded.\")\n",
|
||
"\n",
|
||
" # Extract the 'CIR' columns\n",
|
||
" cir_columns = [col for col in data.columns if 'CIR' in col]\n",
|
||
" cir_data = data[cir_columns]\n",
|
||
" print(\"'CIR' columns extracted.\")\n",
|
||
"\n",
|
||
" # Convert 'CIR' columns to float\n",
|
||
" cir_data = cir_data.astype(float)\n",
|
||
" print(\"'CIR' columns converted to float.\")\n",
|
||
"\n",
|
||
" # Denoise 'CIR' columns\n",
|
||
" denoised_cir_data = cir_data.apply(denoise_cir)\n",
|
||
" # denoised_cir_data = cir_data.apply(deconvolve_cir)\n",
|
||
" print(\"'CIR' columns denoised.\")\n",
|
||
"\n",
|
||
" # Replace original 'CIR' columns with denoised data\n",
|
||
" data[cir_columns] = denoised_cir_data\n",
|
||
" print(\"Original 'CIR' columns replaced with denoised data.\")\n",
|
||
"\n",
|
||
" # List of columns to check for unique values\n",
|
||
" columns_to_check = ['CH', 'PREAM_LEN', 'BITRATE']\n",
|
||
"\n",
|
||
" # Iterate over the columns\n",
|
||
" for column in columns_to_check:\n",
|
||
" # If the column has only one unique value, drop it\n",
|
||
" if data[column].nunique() == 1:\n",
|
||
" data = data.drop(column, axis=1)\n",
|
||
" print(f\"Column '{column}' dropped due to having only one unique value.\")\n",
|
||
"\n",
|
||
" # Print the shape of the cleaned data\n",
|
||
" print(f\"Cleaned data shape: {data.shape}\")\n",
|
||
"\n",
|
||
" # print(\"After Cleaning\")\n",
|
||
" # stat_analysis_and_plots(data)\n",
|
||
"\n",
|
||
" print(\"Data cleaning process completed.\")\n",
|
||
"\n",
|
||
" # Return the cleaned data\n",
|
||
" return data"
|
||
]
|
||
},
|
||
{
|
||
"cell_type": "markdown",
|
||
"id": "8323170f6733d41d",
|
||
"metadata": {
|
||
"collapsed": false
|
||
},
|
||
"source": [
|
||
"# Load and Clean the Data\n",
|
||
"\n",
|
||
"This code block loads the dataset from the specified directory and cleans the data using the `load_data` and `clean_data` functions. It then prints the first few rows of the cleaned data and the column headers."
|
||
]
|
||
},
|
||
{
|
||
"cell_type": "code",
|
||
"execution_count": 12,
|
||
"id": "79c2c23691b26753",
|
||
"metadata": {
|
||
"ExecuteTime": {
|
||
"end_time": "2024-03-21T12:06:16.836565Z",
|
||
"start_time": "2024-03-21T12:06:02.934935Z"
|
||
},
|
||
"collapsed": false
|
||
},
|
||
"outputs": [
|
||
{
|
||
"name": "stdout",
|
||
"output_type": "stream",
|
||
"text": [
|
||
"Pickle file not found. Loading and cleaning data...\n",
|
||
"Original data shape: (42000, 1031)\n"
|
||
]
|
||
},
|
||
{
|
||
"data": {
|
||
"image/png": 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kjnTVLhGjIWTr169PtZcsWTIpY1a7AACH8+lPfzqamppS7fe9732HXHXMvAsAcDxNtHaJMO8CAEyulpaWMe2qqqpxHTdr1qyD9hFhzgUASI901S4R5lwAgMk1NDQUjz/+eKpdVlY2Zt7jUF73uteNae9bB6Szvujr64sHH3ww1b7ggguipqbmsH2/5jWviezs7EP2DQBkrnTWLnvsHRQ2WfMuahcAOPE8+OCD8cpXvjK+853vxNDQUOr+iy66KL72ta9NuL+pev6KOocTmaAwMsa9996b2i4sLByTEnkoJSUl8cADD8TPfvaz+Pa3vx3vfve7x3z/kUceGdO+8MILx9XvBRdcEIlEItW+77779tvnSPtevHhxlJeXH7JvACCzpat2iYjYtGlTDAwMpNqTNYmvdgEADuXpp5+OH/3oR6n2vHnz4vd///cPeYx5FwDgeDmS2iXCvAsAMLn2PUFx586d4zqusbExtV1SUrLf9825AADpkK7aJcKcCwAwuXbt2hXd3d2p9jnnnDOuC0UjIqqrq2PmzJmp9sqVK8d8P531xVNPPTWmJhpv35WVlbFo0aJUe+9zlAGAzJfO2iUioru7O7Zu3ZpqT9a8i9oFAE4869evj87OzlS7sLAwPv7xj8c3vvGNMfMa4zVVz19R53AiExRGxnjyySdT2ytWrIjCwsJJ6XfdunWp7UQiMe43wWVlZWPeYD/77LOH7DsiYunSpePqO5FIxOLFi1Pt559/PoaHh8d1LACQGdJVu0RErFmzZkx7vDXG4ahdAIBD+ed//udIJpOp9p//+Z8f9kQF8y4AwPFyJLVLhHkXAGByVVVVRXV1daq9atWqMRdqHMiqVati27Ztqfby5cv328ecCwCQDumqXSLMuQAAk6utrW1Me/bs2RM6vqqqKrW9efPm6O3tTbXTWV/s2/dEQjz2HkdjY2PU19eP+1gA4PhKZ+0SEbF27dox58ika95F7QIAJ45EIhHXXXdd/PSnP413v/vdkZV1ZNFCU/X8FXUOJzJBYWSEZDI55sl2st6oRkRs3LgxtV1bWzuhEI85c+aktrdt27bfC8SmTZtS24lEYsz+E+m7v78/du3aNe5jAYDjK521S8ToJP4eRUVFMXfu3Fi7dm186lOfihtuuCHOP//8OOOMM+Kyyy6Ld77znfH1r389WltbD9uv2gUAOJi77rornnrqqVT7ZS97WVx11VWHPc68CwBwPBxp7RJh3gUAmHzXX399antoaCg++tGPRk9PzwH3bWlpiY9//ONj7nvHO96x337mXACAdElH7RJhzgUAmFyDg4Nj2hNdzDc7Ozu1PTIyEjt37ky101lf7D2nExExb968cfe9b6DIli1bxn0sAHB8pbN2iRg77xIxGnTx0ksvxf/3//1/cdNNN8WFF14YZ5xxRlx66aXxlre8Jb74xS/Gjh07Dvtz1S4AcOLJzc2N66+/Pn784x/HZz7zmQkHmO5rqp6/os7hRJZzvAcAERH19fXR39+fas+aNSu13djYGD/72c/il7/8ZWzdujWam5ujoqIiTjvttLjqqqviTW96U5SUlBy078bGxtR2bW3thMa198ppQ0ND0dTUFHV1dan7GhoaUtuVlZXjWql+j5qamjHtXbt2jfm9AYDMlc7aJWLsJH5lZWV84AMfiLvvvvuA46ivr49HH300vvSlL8UHP/jBePe7333QftUuAMCBJJPJ+NznPjfmvj/5kz8Z17HmXQCAY+1oapcI8y4AwOR73/veF3feeWfqoo0nn3wybrjhhrj55pvjkksuiYqKimhubo777rsvvvCFL4w5OfEd73hHXHbZZfv1ac4FAEiXdNQuEeZcAIDJVV5ePqbd3t4+oeNbWlrGtOvr6+O0006LiPTWF3v3HTGxeZ0D9Q0ATA3prF0i9g9o/5d/+Ze47bbbYmRkZMxxjY2N0djYGE899VT8+7//e7znPe+JD33oQ2OCyPamdgGAE8/b3va2eNvb3jZp/U3V81fUOZzIBIWREfZ9cqyuro6RkZH41re+Ff/2b/8Wvb29Y76/5w3ro48+Gv/+7/8eH//4x+N1r3vdfv329/dHd3d3qr3vG+7D2Xf/tra2MS8+e78Bn2jfZWVlY9oTffMPABw/6apd9th7En/79u2xffv2w46ps7Mz/umf/inWrFkTn/zkJw84ka92AQAO5O67747169en2ldccUWcddZZhz3OvAsAcDwcae2yh3kXAGCyVVRUxH/+53/G+9///tiwYUNEjK56+tGPfvSgxxQVFcUf/dEfHTAUw5wLAJBOk1277GHOBQCYTNOnT4+cnJwYGhqKiIjnnntu3Md2dnbG1q1bx9y391xLOuuLvfvOy8uLwsLCSesbAMhc6axdIsbOu/T09MSPf/zjw/bb398fX/nKV+LZZ5+Nz3/+81FUVLTfPmoXAOBQpvL5K+ocTmRZx3sAEDH6pL63goKC+NM//dP4p3/6p/2CNvbV0tISH/nIR+ILX/jCft/b9w1xcXHxhMa175vfffvr6elJW98AQOZKV+0SMZpU3dzcvN/9l112WXzpS1+Ke++9N1avXh333Xdf/Ou//muce+65Y/a77bbb4l/+5V8O2LfaBQA4kK9+9atj2h/4wAfGdZx5FwDgeDjS2iXCvAsAkD7z5s2L2267LT7+8Y8f8EKLvZWWlsZnPvOZgwZtmHMBANJtMmuXCHMuAMDkKyoqimXLlqXazz//fCrk9HDuvPPOSCaTY+7r7+9PbaezvlC7AMDJKZ21y8jIyJgF9fZYsWJFfOYzn4m77747Vq9eHQ899FB8+ctfjiuvvHLMfg888EB87GMfO+DPVrsAAIcylc9fUedwIhMURkbY98nxS1/6Utxxxx0REVFdXR0f+9jH4he/+EWsXr06HnnkkfiP//iPuPTSS8cc8/nPfz5uu+22MfcNDg6Oaefm5k5oXDk5OWPaexK99xgYGEhb3wBA5kpX7RIxdqWPiNEQsk9/+tPx1a9+Na6++uqYPn165OXlRV1dXVx77bVx6623xkc/+tFIJBKpY77xjW/Eww8/vF/fahcAYF/PPvtsPP3006n2OeecE2eddda4jjXvAgAca0dTu0SYdwEA0qevry9uueWW+OpXvzrmZMMD6ezsjJtvvjl+7/d+L+rr6/f7vjkXACDdJrN2iTDnAgCkx6tf/erUdjKZjE996lP7hWjsq6urK/793/99v/v3nm9JZ32xd9/77ns4+45F7QIAU0u6apdNmzZFb29vqp2VlRUf+9jH4rvf/W5cd911MXv27MjLy4uqqqq46qqr4itf+Up8+tOfHlNb/OIXv4gf/vCH+/0ctQsAcChT+fwVdQ4nMkFhZIR9XyT2XORx7rnnxk9/+tN4z3veE/PmzYu8vLyorKyMyy+/PG655Zb46Ec/Oua4v/u7v4uWlpZUe3h4eMz39z6pYDyyssb+FxkZGRnT3rv/ye4bAMhc6apdIkbTqa+77rpYvnx5VFdXxz/+4z/G9ddff8jx/M7v/E685z3vGXPf5z73uf32U7sAAPv67//+7zHtd73rXeM+1rwLAHCsHU3tEmHeBQBIj127dsWb3/zm+Ld/+7doamqKiIiXv/zl8ZWvfCUefvjhWL16dfz617+OT37yk7FgwYLUcffdd1+86U1vis2bN4/pz5wLAJBOk127RJhzAQDS48Ybb4yKiopU+957741PfOITB31N7+vriz/+4z+OrVu37ve9vLy81HY664u9+95338PZdyxqFwCYWtJVu0REvP71r49zzz036urq4o//+I/3m1PZ1/XXXx8f+9jHxtz3pS99ab+QC7ULAHAoU/n8FXUOJzJBYWSsWbNmxZe//OWorKw86D6/8zu/E29+85tT7Z6envjmN7+ZamdnZ4/Zf6JPwvu+eO37Bnvv9MjJ7hsAmFomo3aJGA0b+8xnPhPf+9734sEHH4zrrrtuXD//Qx/60JgPFZ588snYtm3bmH3ULgDA3vr6+uKOO+5ItWtqauIVr3jFuI837wIAHEtHW7tEmHcBACZfX19f/O7v/m688MILETF6suDf/u3fxte+9rW48sorY9q0aZGXlxczZ86MN77xjXH77beP+ayooaEhbr755jErmZpzAQDSJR21S4Q5FwAgPUpKSuIf/uEfxtx36623xhvf+Mb42c9+Fo2NjTE4OBi7du2KH/7wh3H99dfHfffdFxERy5cvH3Pc3nVAOusLtQsAnLzSVbvMnz8/PvWpT8Wtt94a9913X/z+7//+uMbztre9LebPn59qb9++PVauXDlmH7ULAHAoU/n8FXUOJzJBYWSEAz05fuADH4jy8vLDHvuhD30ocnNzU+3//d//TW0XFhaO2be/v39C49p3/33HWVBQkLa+AYDMla7a5WgUFhbGq1/96jH3Pfzww2PaahcAYG+/+tWvoqenJ9W+/vrrx0yGH455FwDgWDra2uVomHcBAA7mq1/9aqxfvz7Vft/73hc33XTTQffPycmJv//7v48rrrgidd/GjRvjO9/5TqptzgUASJd01C5Hw5wLAHA411xzTfzZn/1ZJBKJ1H3PP/98/Mmf/ElceumlccYZZ8Tll18ef/mXfxkvvfRSRET89m//dvz2b//2mH6Ki4tT2+msL9QuAHByS0ftcqQSiUS8/vWvH3OfeRcAYCKm8vkr6hxOZILCyAj7vnHNzs6OV73qVeM6tra2Ns4666xUe8OGDdHS0hIREaWlpWOSKru6uiY0rn3333vlsogYEwYy2X0DAJkrXbXL0Tr77LPHtPddZVXtAgDs7c477xzTfsMb3jCh4827AADH0tHWLkfLvAsAsK/h4eH47ne/m2pXVVXF+973vsMel0gk4q/+6q/GhJ5+73vfS22bcwEA0iFdtcvRMucCABzO7/3e78VnP/vZqK6uPuR+RUVF8fd///fxiU98Ijo6OsZ8r6amJrWdzvpi7767u7sjmUxOWt8AwNQw2bXL0ZjIvIvaBQD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|
||
"text/plain": [
|
||
"<Figure size 6000x3000 with 1 Axes>"
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]
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},
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||
"metadata": {},
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||
"output_type": "display_data"
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},
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{
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"data": {
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|
||
"text/plain": [
|
||
"<Figure size 6000x3000 with 1 Axes>"
|
||
]
|
||
},
|
||
"metadata": {},
|
||
"output_type": "display_data"
|
||
},
|
||
{
|
||
"name": "stdout",
|
||
"output_type": "stream",
|
||
"text": [
|
||
"Starting data cleaning process...\n",
|
||
"Total number of missing values: 0\n",
|
||
"Missing values dropped.\n",
|
||
"Duplicate rows dropped.\n",
|
||
"'NLOS' column converted to integer data type.\n",
|
||
"Line where CIR_PWR is 0: NLOS RANGE FP_IDX FP_AMP1 FP_AMP2 FP_AMP3 STDEV_NOISE CIR_PWR \\\n",
|
||
"4343 1 7.02 757.0 30.0 214.0 413.0 36.0 0.0 \n",
|
||
"837 1 4.88 739.0 112.0 323.0 227.0 40.0 0.0 \n",
|
||
"1356 1 6.33 747.0 293.0 311.0 187.0 28.0 0.0 \n",
|
||
"\n",
|
||
" MAX_NOISE RXPACC ... CIR1006 CIR1007 CIR1008 CIR1009 CIR1010 \\\n",
|
||
"4343 412.0 192.0 ... 252.0 271.0 190.0 292.0 271.0 \n",
|
||
"837 322.0 128.0 ... 161.0 219.0 295.0 242.0 279.0 \n",
|
||
"1356 310.0 160.0 ... 197.0 84.0 246.0 353.0 196.0 \n",
|
||
"\n",
|
||
" CIR1011 CIR1012 CIR1013 CIR1014 CIR1015 \n",
|
||
"4343 239.0 210.0 260.0 223.0 256.0 \n",
|
||
"837 67.0 153.0 177.0 159.0 0.0 \n",
|
||
"1356 38.0 228.0 42.0 173.0 0.0 \n",
|
||
"\n",
|
||
"[3 rows x 1031 columns]\n",
|
||
"New feature 'RX_Level' created.\n",
|
||
"New feature 'First_Path_Power_Level' calculated.\n",
|
||
"New feature 'SNR' created.\n"
|
||
]
|
||
},
|
||
{
|
||
"data": {
|
||
"image/png": 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",
|
||
"text/plain": [
|
||
"<Figure size 1000x500 with 2 Axes>"
|
||
]
|
||
},
|
||
"metadata": {},
|
||
"output_type": "display_data"
|
||
},
|
||
{
|
||
"data": {
|
||
"image/png": 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",
|
||
"text/plain": [
|
||
"<Figure size 1000x500 with 2 Axes>"
|
||
]
|
||
},
|
||
"metadata": {},
|
||
"output_type": "display_data"
|
||
},
|
||
{
|
||
"name": "stdout",
|
||
"output_type": "stream",
|
||
"text": [
|
||
"Categorical features one-hot encoded.\n",
|
||
"'CIR' columns extracted.\n",
|
||
"'CIR' columns converted to float.\n",
|
||
"'CIR' columns denoised.\n",
|
||
"Original 'CIR' columns replaced with denoised data.\n",
|
||
"Column 'CH' dropped due to having only one unique value.\n",
|
||
"Column 'BITRATE' dropped due to having only one unique value.\n",
|
||
"Cleaned data shape: (41997, 1025)\n",
|
||
"Data cleaning process completed.\n"
|
||
]
|
||
},
|
||
{
|
||
"data": {
|
||
"image/png": 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",
|
||
"text/plain": [
|
||
"<Figure size 640x480 with 1 Axes>"
|
||
]
|
||
},
|
||
"metadata": {},
|
||
"output_type": "display_data"
|
||
},
|
||
{
|
||
"data": {
|
||
"image/png": 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",
|
||
"text/plain": [
|
||
"<Figure size 1000x500 with 1 Axes>"
|
||
]
|
||
},
|
||
"metadata": {},
|
||
"output_type": "display_data"
|
||
},
|
||
{
|
||
"data": {
|
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"image/png": 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||
"text/plain": [
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||
"<Figure size 6000x3000 with 1 Axes>"
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]
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},
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||
"metadata": {},
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||
"output_type": "display_data"
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},
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||
{
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"data": {
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|
||
"text/plain": [
|
||
"<Figure size 6000x3000 with 1 Axes>"
|
||
]
|
||
},
|
||
"metadata": {},
|
||
"output_type": "display_data"
|
||
},
|
||
{
|
||
"name": "stderr",
|
||
"output_type": "stream",
|
||
"text": [
|
||
"C:\\Users\\PC\\AppData\\Local\\Temp\\ipykernel_117340\\2998122009.py:9: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()`\n",
|
||
" data['Total_Distance'] = data[cir_columns].abs().sum(axis=1) * speed_of_light_ns\n"
|
||
]
|
||
},
|
||
{
|
||
"name": "stdout",
|
||
"output_type": "stream",
|
||
"text": [
|
||
" NLOS RANGE FP_IDX MAX_NOISE FRAME_LEN PREAM_LEN CIR0 \\\n",
|
||
"0 0 3.90 745.0 967.0 2 0 128.646447 \n",
|
||
"1 0 0.66 749.0 1133.0 0 0 117.353553 \n",
|
||
"2 1 7.86 746.0 894.0 0 0 433.353553 \n",
|
||
"3 1 3.48 750.0 1127.0 2 0 465.646447 \n",
|
||
"4 0 1.19 746.0 1744.0 0 0 259.353553 \n",
|
||
"... ... ... ... ... ... ... ... \n",
|
||
"5995 0 2.43 745.0 2379.0 0 0 395.646447 \n",
|
||
"5996 0 1.39 745.0 1810.0 2 0 183.353553 \n",
|
||
"5997 1 5.48 747.0 1092.0 2 0 202.646447 \n",
|
||
"5998 1 3.40 745.0 1077.0 0 0 484.353553 \n",
|
||
"5999 0 2.43 747.0 1224.0 0 0 747.646447 \n",
|
||
"\n",
|
||
" CIR1 CIR2 CIR3 ... CIR1010 CIR1011 \\\n",
|
||
"0 311.646447 330.646447 140.646447 ... 197.646447 87.353553 \n",
|
||
"1 163.353553 199.353553 136.353553 ... 187.353553 212.646447 \n",
|
||
"2 240.353553 233.353553 81.353553 ... 124.353553 329.353553 \n",
|
||
"3 246.646447 406.646447 224.646447 ... 433.646447 396.646447 \n",
|
||
"4 239.353553 57.353553 19.353553 ... 87.353553 178.353553 \n",
|
||
"... ... ... ... ... ... ... \n",
|
||
"5995 277.646447 279.646447 278.353553 ... 193.353553 417.646447 \n",
|
||
"5996 304.646447 247.646447 162.353553 ... 211.353553 144.353553 \n",
|
||
"5997 242.353553 228.353553 188.646447 ... 253.646447 191.646447 \n",
|
||
"5998 210.353553 75.353553 246.353553 ... 86.353553 123.353553 \n",
|
||
"5999 366.646447 744.646447 717.646447 ... 726.646447 366.646447 \n",
|
||
"\n",
|
||
" CIR1012 CIR1013 CIR1014 CIR1015 RX_Level \\\n",
|
||
"0 295.646447 504.646447 306.646447 0.000000 -27.806709 \n",
|
||
"1 202.353553 89.353553 103.353553 0.000000 -23.050836 \n",
|
||
"2 207.353553 96.353553 218.353553 0.353553 -28.334789 \n",
|
||
"3 289.646447 154.646447 341.646447 255.646447 -33.611812 \n",
|
||
"4 313.646447 247.353553 292.353553 256.000000 -21.081660 \n",
|
||
"... ... ... ... ... ... \n",
|
||
"5995 242.646447 225.646447 256.353553 0.000000 -21.648732 \n",
|
||
"5996 47.353553 110.353553 82.353553 0.000000 -20.809477 \n",
|
||
"5997 180.646447 445.646447 299.646447 0.000000 -41.462381 \n",
|
||
"5998 522.353553 295.353553 223.353553 256.353553 -41.296123 \n",
|
||
"5999 802.646447 818.646447 466.646447 767.646447 -23.907380 \n",
|
||
"\n",
|
||
" First_Path_Power_Level SNR Total_Distance \n",
|
||
"0 -32.018158 185.234375 120371.292417 \n",
|
||
"1 -34.255986 296.375000 135265.933614 \n",
|
||
"2 -43.509715 244.983333 153365.885081 \n",
|
||
"3 -41.706556 115.105263 125802.050979 \n",
|
||
"4 -23.834943 167.352941 110697.999893 \n",
|
||
"... ... ... ... \n",
|
||
"5995 -24.337520 104.031250 110297.192886 \n",
|
||
"5996 -28.059910 165.250000 106982.743632 \n",
|
||
"5997 -43.758684 19.930556 122190.602961 \n",
|
||
"5998 -42.910043 20.708333 132871.634243 \n",
|
||
"5999 -32.863387 162.785714 234026.967141 \n",
|
||
"\n",
|
||
"[41997 rows x 1026 columns]\n",
|
||
"Data loaded and cleaned successfully.\n",
|
||
"Saving cleaned data to pickle file...\n",
|
||
"Cleaned data saved to pickle file successfully.\n",
|
||
"First few rows of the data:\n",
|
||
" NLOS RANGE FP_IDX MAX_NOISE FRAME_LEN PREAM_LEN CIR0 \\\n",
|
||
"0 0 3.90 745.0 967.0 2 0 128.646447 \n",
|
||
"1 0 0.66 749.0 1133.0 0 0 117.353553 \n",
|
||
"2 1 7.86 746.0 894.0 0 0 433.353553 \n",
|
||
"3 1 3.48 750.0 1127.0 2 0 465.646447 \n",
|
||
"4 0 1.19 746.0 1744.0 0 0 259.353553 \n",
|
||
"\n",
|
||
" CIR1 CIR2 CIR3 ... CIR1010 CIR1011 \\\n",
|
||
"0 311.646447 330.646447 140.646447 ... 197.646447 87.353553 \n",
|
||
"1 163.353553 199.353553 136.353553 ... 187.353553 212.646447 \n",
|
||
"2 240.353553 233.353553 81.353553 ... 124.353553 329.353553 \n",
|
||
"3 246.646447 406.646447 224.646447 ... 433.646447 396.646447 \n",
|
||
"4 239.353553 57.353553 19.353553 ... 87.353553 178.353553 \n",
|
||
"\n",
|
||
" CIR1012 CIR1013 CIR1014 CIR1015 RX_Level \\\n",
|
||
"0 295.646447 504.646447 306.646447 0.000000 -27.806709 \n",
|
||
"1 202.353553 89.353553 103.353553 0.000000 -23.050836 \n",
|
||
"2 207.353553 96.353553 218.353553 0.353553 -28.334789 \n",
|
||
"3 289.646447 154.646447 341.646447 255.646447 -33.611812 \n",
|
||
"4 313.646447 247.353553 292.353553 256.000000 -21.081660 \n",
|
||
"\n",
|
||
" First_Path_Power_Level SNR Total_Distance \n",
|
||
"0 -32.018158 185.234375 120371.292417 \n",
|
||
"1 -34.255986 296.375000 135265.933614 \n",
|
||
"2 -43.509715 244.983333 153365.885081 \n",
|
||
"3 -41.706556 115.105263 125802.050979 \n",
|
||
"4 -23.834943 167.352941 110697.999893 \n",
|
||
"\n",
|
||
"[5 rows x 1026 columns]\n",
|
||
"Column headers:\n",
|
||
"Index(['NLOS', 'RANGE', 'FP_IDX', 'MAX_NOISE', 'FRAME_LEN', 'PREAM_LEN',\n",
|
||
" 'CIR0', 'CIR1', 'CIR2', 'CIR3',\n",
|
||
" ...\n",
|
||
" 'CIR1010', 'CIR1011', 'CIR1012', 'CIR1013', 'CIR1014', 'CIR1015',\n",
|
||
" 'RX_Level', 'First_Path_Power_Level', 'SNR', 'Total_Distance'],\n",
|
||
" dtype='object', length=1026)\n"
|
||
]
|
||
}
|
||
],
|
||
"source": [
|
||
"import pickle\n",
|
||
"\n",
|
||
"# File='data_original.pkl'\n",
|
||
"File = 'data.pkl'\n",
|
||
"\n",
|
||
"# Check if the file exists\n",
|
||
"if os.path.exists(File):\n",
|
||
" # If the file exists, load it\n",
|
||
" print(\"Loading data from pickle file...\")\n",
|
||
" with open(File, 'rb') as f:\n",
|
||
" data = pickle.load(f)\n",
|
||
" # plot_features(data, data['NLOS'], \"First_Path_Power_Level\", \"RX_Level\")\n",
|
||
" # plot_features(data, data['NLOS'], \"SNR\", \"RX_Level\")\n",
|
||
" # plot_features(data, data['NLOS'], \"SNR\", \"First_Path_Power_Level\")\n",
|
||
" snr_graph(data)\n",
|
||
" cir_graphs(data)\n",
|
||
" print(\"Data loaded successfully.\")\n",
|
||
"else:\n",
|
||
" # If the file doesn't exist, load and clean the data\n",
|
||
" print(\"Pickle file not found. Loading and cleaning data...\")\n",
|
||
" data = load_data(DATASET_DIR)\n",
|
||
" cir_graphs(data)\n",
|
||
" data = clean_data(data)\n",
|
||
" plot_features(data, data['NLOS'], \"First_Path_Power_Level\", \"RX_Level\")\n",
|
||
" snr_graph(data)\n",
|
||
" cir_graphs(data)\n",
|
||
" print(calculate_total_distance(data))\n",
|
||
" print(\"Data loaded and cleaned successfully.\")\n",
|
||
" print(\"Saving cleaned data to pickle file...\")\n",
|
||
" with open(File, 'wb') as f:\n",
|
||
" pickle.dump(data, f)\n",
|
||
" print(\"Cleaned data saved to pickle file successfully.\")\n",
|
||
"\n",
|
||
"print(\"First few rows of the data:\")\n",
|
||
"print(data.head())\n",
|
||
"\n",
|
||
"# Print Headers\n",
|
||
"print(\"Column headers:\")\n",
|
||
"print(data.columns)"
|
||
]
|
||
},
|
||
{
|
||
"cell_type": "markdown",
|
||
"id": "20d838f85d847ea0",
|
||
"metadata": {
|
||
"collapsed": false
|
||
},
|
||
"source": [
|
||
"# Data Preprocessing"
|
||
]
|
||
},
|
||
{
|
||
"cell_type": "markdown",
|
||
"id": "686f0615a70388cb",
|
||
"metadata": {
|
||
"collapsed": false
|
||
},
|
||
"source": [
|
||
"# Split the Data\n",
|
||
"\n",
|
||
"This code block splits the data into training and testing sets using the `train_test_split` function from the `sklearn.model_selection` module. The training set contains 80% of the data, and the testing set contains 20% of the data.\n",
|
||
"\n",
|
||
"The target column 'NLOS' is separated from the rest of the dataset, and the input data is scaled using the `StandardScaler` from the `sklearn.preprocessing` module. The `StandardScaler` standardizes features by removing the mean and scaling to unit variance.\n",
|
||
"\n",
|
||
"The random seed is set to 42 for reproducibility."
|
||
]
|
||
},
|
||
{
|
||
"cell_type": "code",
|
||
"execution_count": 13,
|
||
"id": "72c1e647b6c1992",
|
||
"metadata": {
|
||
"ExecuteTime": {
|
||
"end_time": "2024-03-21T12:06:49.970355Z",
|
||
"start_time": "2024-03-21T12:06:47.694912Z"
|
||
},
|
||
"collapsed": false
|
||
},
|
||
"outputs": [],
|
||
"source": [
|
||
"# Set random seed for reproducibility\n",
|
||
"tf.random.set_seed(42)\n",
|
||
"\n",
|
||
"# Drop the target column 'NLOS' from the data and assign the remaining data to X\n",
|
||
"X = data.drop('NLOS', axis=1)\n",
|
||
"# Assign the target column 'NLOS' to y\n",
|
||
"y = data['NLOS']\n",
|
||
"\n",
|
||
"# Split the data into training and testing sets with a 80:20 ratio\n",
|
||
"X_train, X_test, y_train, y_test = train_test_split(X, y, test_size=0.2, random_state=42)\n",
|
||
"\n",
|
||
"# Initialize a StandardScaler object\n",
|
||
"scaler = StandardScaler()\n",
|
||
"# Fit the scaler to the training data and transform it\n",
|
||
"X_train = scaler.fit_transform(X_train)\n",
|
||
"# Transform the testing data using the fitted scaler\n",
|
||
"X_test = scaler.transform(X_test)"
|
||
]
|
||
},
|
||
{
|
||
"cell_type": "markdown",
|
||
"id": "862a9b7ee430a667",
|
||
"metadata": {
|
||
"collapsed": false
|
||
},
|
||
"source": [
|
||
"# Convolution Neural Network\n",
|
||
"\n",
|
||
"This code block constructs and trains a Convolutional Neural Network (CNN) for a binary classification task using TensorFlow. CNNs are a type of deep learning model primarily used for image analysis, but they can also be applied to other types of data that have a grid-like topology. Here's a step-by-step breakdown of the code:\n",
|
||
"\n",
|
||
"1. **Model Creation**: A Sequential model is created using Keras. This model is composed of the following layers:\n",
|
||
"\n",
|
||
" - **Conv1D layers**: These are convolutional layers that will convolve the input data with a set of learnable filters, each producing one feature map in the output. The kernel size is set to 3, and the activation function used is ReLU (Rectified Linear Unit).\n",
|
||
"\n",
|
||
" - **MaxPooling1D layers**: These layers are used to down-sample the input along its spatial dimensions (height and width). The pool size is set to 2.\n",
|
||
"\n",
|
||
" - **Dense layers**: These are fully connected layers. The first Dense layer has 64 units and uses the ReLU activation function. The second Dense layer has a number of units equal to the number of classes and uses the softmax activation function to output a probability distribution over the classes.\n",
|
||
"\n",
|
||
"2. **Model Compilation**: The model is compiled with the Adam optimizer, categorical cross-entropy loss function, and accuracy as the evaluation metric.\n",
|
||
"\n",
|
||
"3. **Model Training**: The model is trained on the training data for 10 epochs with a batch size of 32. The validation data is set to the testing set.\n",
|
||
"\n",
|
||
"4. **Model Evaluation**: The model's performance is evaluated on the testing set and the accuracy is printed.\n",
|
||
"\n",
|
||
"The mathematical concept behind the Convolutional layer (Conv1D) is the convolution operation, which is a mathematical operation on two functions that produces a third function. In the context of a CNN, the two functions are the input data and the kernel or filter. The convolution operation involves sliding the kernel across the input data and computing the dot product at each position.\n",
|
||
"\n",
|
||
"The mathematical formula for the convolution operation is: $$ (f * g)(t) = \\int_{-\\infty}^{\\infty} f(\\tau)g(t - \\tau) d\\tau $$ Where: \n",
|
||
"- $f$ and $g$ are the input data and kernel respectively\n",
|
||
"- $t$ is the position of the kernel\n",
|
||
"- $\\tau$ is a dummy integration variable\n",
|
||
"\n",
|
||
"In the context of a CNN, the integral is replaced by a sum over the discrete spatial dimensions (height and width) of the input data and kernel."
|
||
]
|
||
},
|
||
{
|
||
"cell_type": "code",
|
||
"execution_count": 129,
|
||
"id": "1c1dd203ad7db076",
|
||
"metadata": {
|
||
"ExecuteTime": {
|
||
"end_time": "2024-03-20T12:44:18.952408Z",
|
||
"start_time": "2024-03-20T12:32:23.830299Z"
|
||
},
|
||
"collapsed": false
|
||
},
|
||
"outputs": [
|
||
{
|
||
"name": "stdout",
|
||
"output_type": "stream",
|
||
"text": [
|
||
"Epoch 1/30\n",
|
||
"1050/1050 [==============================] - 26s 23ms/step - loss: 0.7339 - accuracy: 0.6683 - val_loss: 0.4898 - val_accuracy: 0.8121\n",
|
||
"Epoch 2/30\n",
|
||
"1050/1050 [==============================] - 23s 22ms/step - loss: 0.5412 - accuracy: 0.7951 - val_loss: 0.4465 - val_accuracy: 0.8405\n",
|
||
"Epoch 3/30\n",
|
||
"1050/1050 [==============================] - 24s 22ms/step - loss: 0.4912 - accuracy: 0.8236 - val_loss: 0.4425 - val_accuracy: 0.8493\n",
|
||
"Epoch 4/30\n",
|
||
"1050/1050 [==============================] - 23s 22ms/step - loss: 0.4767 - accuracy: 0.8330 - val_loss: 0.4382 - val_accuracy: 0.8488\n",
|
||
"Epoch 5/30\n",
|
||
"1050/1050 [==============================] - 24s 23ms/step - loss: 0.4644 - accuracy: 0.8382 - val_loss: 0.4399 - val_accuracy: 0.8474\n",
|
||
"Epoch 6/30\n",
|
||
"1050/1050 [==============================] - 24s 23ms/step - loss: 0.4524 - accuracy: 0.8436 - val_loss: 0.4366 - val_accuracy: 0.8499\n",
|
||
"Epoch 7/30\n",
|
||
"1050/1050 [==============================] - 23s 22ms/step - loss: 0.4461 - accuracy: 0.8470 - val_loss: 0.4357 - val_accuracy: 0.8504\n",
|
||
"Epoch 8/30\n",
|
||
"1050/1050 [==============================] - 24s 23ms/step - loss: 0.4411 - accuracy: 0.8497 - val_loss: 0.4321 - val_accuracy: 0.8505\n",
|
||
"Epoch 9/30\n",
|
||
"1050/1050 [==============================] - 24s 23ms/step - loss: 0.4353 - accuracy: 0.8497 - val_loss: 0.4296 - val_accuracy: 0.8504\n",
|
||
"Epoch 10/30\n",
|
||
"1050/1050 [==============================] - 24s 22ms/step - loss: 0.4288 - accuracy: 0.8554 - val_loss: 0.4294 - val_accuracy: 0.8519\n",
|
||
"Epoch 11/30\n",
|
||
"1050/1050 [==============================] - 24s 23ms/step - loss: 0.4299 - accuracy: 0.8548 - val_loss: 0.4276 - val_accuracy: 0.8527\n",
|
||
"Epoch 12/30\n",
|
||
"1050/1050 [==============================] - 25s 24ms/step - loss: 0.4219 - accuracy: 0.8566 - val_loss: 0.4262 - val_accuracy: 0.8551\n",
|
||
"Epoch 13/30\n",
|
||
"1050/1050 [==============================] - 24s 23ms/step - loss: 0.4195 - accuracy: 0.8561 - val_loss: 0.4262 - val_accuracy: 0.8532\n",
|
||
"Epoch 14/30\n",
|
||
"1050/1050 [==============================] - 24s 23ms/step - loss: 0.4147 - accuracy: 0.8572 - val_loss: 0.4226 - val_accuracy: 0.8531\n",
|
||
"Epoch 15/30\n",
|
||
"1050/1050 [==============================] - 24s 23ms/step - loss: 0.4117 - accuracy: 0.8578 - val_loss: 0.4219 - val_accuracy: 0.8546\n",
|
||
"Epoch 16/30\n",
|
||
"1050/1050 [==============================] - 24s 23ms/step - loss: 0.4110 - accuracy: 0.8600 - val_loss: 0.4197 - val_accuracy: 0.8555\n",
|
||
"Epoch 17/30\n",
|
||
"1050/1050 [==============================] - 24s 23ms/step - loss: 0.4040 - accuracy: 0.8611 - val_loss: 0.4179 - val_accuracy: 0.8563\n",
|
||
"Epoch 18/30\n",
|
||
"1050/1050 [==============================] - 23s 22ms/step - loss: 0.4010 - accuracy: 0.8623 - val_loss: 0.4164 - val_accuracy: 0.8550\n",
|
||
"Epoch 19/30\n",
|
||
"1050/1050 [==============================] - 24s 22ms/step - loss: 0.4013 - accuracy: 0.8594 - val_loss: 0.4163 - val_accuracy: 0.8542\n",
|
||
"Epoch 20/30\n",
|
||
"1050/1050 [==============================] - 23s 22ms/step - loss: 0.4013 - accuracy: 0.8600 - val_loss: 0.4172 - val_accuracy: 0.8543\n",
|
||
"Epoch 21/30\n",
|
||
"1050/1050 [==============================] - 23s 22ms/step - loss: 0.3975 - accuracy: 0.8633 - val_loss: 0.4108 - val_accuracy: 0.8571\n",
|
||
"Epoch 22/30\n",
|
||
"1050/1050 [==============================] - 23s 22ms/step - loss: 0.3918 - accuracy: 0.8645 - val_loss: 0.4114 - val_accuracy: 0.8573\n",
|
||
"Epoch 23/30\n",
|
||
"1050/1050 [==============================] - 23s 22ms/step - loss: 0.3954 - accuracy: 0.8633 - val_loss: 0.4073 - val_accuracy: 0.8567\n",
|
||
"Epoch 24/30\n",
|
||
"1050/1050 [==============================] - 23s 22ms/step - loss: 0.3944 - accuracy: 0.8642 - val_loss: 0.4096 - val_accuracy: 0.8587\n",
|
||
"Epoch 25/30\n",
|
||
"1050/1050 [==============================] - 23s 22ms/step - loss: 0.3890 - accuracy: 0.8652 - val_loss: 0.4049 - val_accuracy: 0.8615\n",
|
||
"Epoch 26/30\n",
|
||
"1050/1050 [==============================] - 23s 22ms/step - loss: 0.3873 - accuracy: 0.8657 - val_loss: 0.4034 - val_accuracy: 0.8596\n",
|
||
"Epoch 27/30\n",
|
||
"1050/1050 [==============================] - 23s 22ms/step - loss: 0.3852 - accuracy: 0.8683 - val_loss: 0.4070 - val_accuracy: 0.8589\n",
|
||
"Epoch 28/30\n",
|
||
"1050/1050 [==============================] - 23s 22ms/step - loss: 0.3839 - accuracy: 0.8681 - val_loss: 0.4070 - val_accuracy: 0.8605\n",
|
||
"Epoch 29/30\n",
|
||
"1050/1050 [==============================] - 23s 22ms/step - loss: 0.3826 - accuracy: 0.8685 - val_loss: 0.4033 - val_accuracy: 0.8605\n",
|
||
"Epoch 30/30\n",
|
||
"1050/1050 [==============================] - 25s 24ms/step - loss: 0.3812 - accuracy: 0.8691 - val_loss: 0.4035 - val_accuracy: 0.8631\n",
|
||
"263/263 [==============================] - 1s 3ms/step\n"
|
||
]
|
||
}
|
||
],
|
||
"source": [
|
||
"# Initialize a Sequential model\n",
|
||
"model = Sequential()\n",
|
||
"\n",
|
||
"# Add a Conv1D layer\n",
|
||
"model.add(Conv1D(filters=64, kernel_size=3, activation='relu', input_shape=(X_train.shape[1], 1),\n",
|
||
" kernel_regularizer=regularizers.l2(0.001)))\n",
|
||
"model.add(BatchNormalization())\n",
|
||
"model.add(Dropout(0.5))\n",
|
||
"\n",
|
||
"# Add another Conv1D layer\n",
|
||
"model.add(Conv1D(filters=32, kernel_size=3, activation='relu', kernel_regularizer=regularizers.l2(0.001)))\n",
|
||
"model.add(BatchNormalization())\n",
|
||
"model.add(Dropout(0.5))\n",
|
||
"\n",
|
||
"# Add a Flatten layer\n",
|
||
"model.add(Flatten())\n",
|
||
"\n",
|
||
"# Add a Dense layer\n",
|
||
"model.add(Dense(16, activation='relu', kernel_regularizer=regularizers.l2(0.001)))\n",
|
||
"model.add(BatchNormalization())\n",
|
||
"model.add(Dropout(0.5))\n",
|
||
"\n",
|
||
"# Add the output Dense layer\n",
|
||
"model.add(Dense(1, activation='sigmoid'))\n",
|
||
"\n",
|
||
"# Define early stopping\n",
|
||
"early_stopping = EarlyStopping(monitor='val_loss', patience=10)\n",
|
||
"\n",
|
||
"# Compile the model\n",
|
||
"model.compile(loss='binary_crossentropy', optimizer=Adam(learning_rate=0.0001), metrics=['accuracy'])\n",
|
||
"\n",
|
||
"# Train the model\n",
|
||
"history = model.fit(X_train, y_train, epochs=30, batch_size=32, validation_data=(X_test, y_test),\n",
|
||
" callbacks=[early_stopping])\n",
|
||
"\n",
|
||
"# Evaluate the model\n",
|
||
"scores = model.evaluate(X_test, y_test, verbose=0)\n",
|
||
"\n",
|
||
"# Make predictions\n",
|
||
"y_pred = model.predict(X_test)\n",
|
||
"y_pred_classes = (y_pred > 0.5).astype(\"int32\")\n",
|
||
"\n",
|
||
"# Generate a classification report\n",
|
||
"report = classification_report(y_test, y_pred_classes)"
|
||
]
|
||
},
|
||
{
|
||
"cell_type": "markdown",
|
||
"id": "b5f3cff03a03da6a",
|
||
"metadata": {
|
||
"collapsed": false
|
||
},
|
||
"source": [
|
||
"# Plot the training and validation accuracy over epochs\n",
|
||
"\n",
|
||
"This code block plots the training and validation accuracy over epochs. The training accuracy is plotted in red, and the validation accuracy is plotted in blue. The x-axis represents the number of epochs, and the y-axis represents the accuracy. The plot shows how the accuracy changes over the course of training and validation."
|
||
]
|
||
},
|
||
{
|
||
"cell_type": "code",
|
||
"execution_count": 130,
|
||
"id": "89aa08d7d1866179",
|
||
"metadata": {
|
||
"ExecuteTime": {
|
||
"end_time": "2024-03-20T12:44:19.380929Z",
|
||
"start_time": "2024-03-20T12:44:18.953819Z"
|
||
},
|
||
"collapsed": false
|
||
},
|
||
"outputs": [
|
||
{
|
||
"data": {
|
||
"image/png": 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",
|
||
"text/plain": [
|
||
"<Figure size 640x480 with 1 Axes>"
|
||
]
|
||
},
|
||
"metadata": {},
|
||
"output_type": "display_data"
|
||
},
|
||
{
|
||
"data": {
|
||
"image/png": 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rLd1+++0aP368ZsyYoaSkJFmtVj311FMB6Zk+nCeffFKPPfaYJk+erBtvvFFxcXGyWCy67777Wm1JuZaui4ZISkrSm2++qRUrVmj58uVavny53njjDZ1zzjm6//77JUnHH3+8PvzwQ3388cdauXKlFi1apOeff16zZ8/2he369O3bV999952cTudhlwj88ccfFRYW5vfhy4QJE/Tkk08qPz9f0dHR+uSTTzRx4kTfihC19Txp0qTDruf+8wkiW6M3Xjr8f9Oj/bduyjUBQHtEkAcA+KxZs0aFhYWaN2+ejj/+eN/2Q4eSB1NSUpIcDod27txZ57X6tv3c5s2btWPHDt1///0655xzfNuPNqv4kXTt2lWrV6+uMzx6+/btjTrP2Wefrc8++0zLly/XO++8o+joaL+Z3t9//311795d8+bN8+vJ/PkEfQ3RpUsXSdKOHTvUvXt33/b8/Pw6oxTef/99jRw5Uvfdd5/f9uLiYr+J5n7eu3okXbt21apVq1RaWurXK19760bXrl0bfjHN1LVrV/3444/yeDx+vfK1ban9WUne2wzGjRuncePGyePx6K677tLChQt1zTXX+EaExMfHa/LkyZo8ebLKysp0ySWX6B//+McRg/ypp56q9evX67333qt3+bY9e/Zo7dq1GjVqlF/QnjBhgubNm6cPPvhAycnJKi0t9RuunpiYqKioKHk8Ho0ePbrpP6QQ0h6vCQCagnvkAQA+tUHm0J5Op9OpV155JVhN8mO1WjV69Gh9/PHHys7O9m3fuXOnPvvss6MeX9/1maapF154ocltOvnkk+VyufTqq6/6trndbr300kuNOs/48eMVERGhV155RcuXL9cvf/lLv/W3a3sqD237hg0b9PXXXze6zaNHj1ZYWJheeuklv/MdupTaoe/7857v9957z+/nL0kRERGSGnYLxcknnyy3262XX37Zb/u///1vGYbhN1y9pZ188snKycnR0qVLfdtcLpdefPFFRUZG+j7QKigo8DvOYrH4en6dTme9+0RFRalHjx6+1w/n/PPPV1JSkh588ME6oyuqqqp0xx13yDRNXXvttX6v9e3bV+np6Vq6dKmWLl2qlJQUvw/grFarzjjjDL3//vvavHlznfdti0PQ2+M1AUBT0CMPAPAZNmyY4uLidPvtt2vatGkyDENvvfVWqw5hPprrrrtOK1as0IUXXqgLL7xQHo9HL730ko455hh9//33Rzy2T58+6tGjh+6//35lZ2crOjpa77//frPutR43bpyOO+44PfTQQ9q7d6/69eunDz74oMHryNeKiorSaaedpnfeeUeS/IbVS95e2w8++EDXXnutTj31VO3Zs0cLFixQv379VF5e3qj3SkxM1OWXX66nnnpKV111lU455RR99913Wr58eZ3l3E499VQ9/vjjuuOOOzRs2DBt3rxZb7/9tl9PviT16NFDsbGxWrBggaKiohQZGanBgwfX2U/y/sxGjhypRx55RHv37lVGRoZWrlypjz/+WJdeemmdtdSba9WqVaqqqqqzffz48Tr//PO1cOFC3X777dq0aZO6du2q999/X+vWrdMf/vAH34iBP/3pTyoqKtKJJ56o1NRU7du3Ty+99JL69+/vu59+4sSJOuGEEzRgwADFx8frm2++0fvvv3/UiQ8TEhI0d+5cXXnllfrNb36jKVOmqG/fvsrNzdWSJUu0c+dO/fGPf6x3Ob8JEyZo7ty5cjgcOu+88+rc63/LLbfoiy++0NSpUzVlyhT169dPRUVF2rRpk1atWqU1a9Y09ccaNO3xmgCgsQjyAACfhIQEPfnkk7r//vv16KOPKjY2VpMmTdKoUaM0Y8aMYDdPkjRw4EA9/fTTeuCBB/TYY48pLS1NN9xwg7Zt23bUWfXDwsL05JNP6p577tFTTz0lh8Oh008/XRdffHG9Q5obwmKx6IknntB9992n//znPzIMQ+PGjdPtt9/uN3y/ISZNmqR33nlHKSkpvgnLap177rm+NdxXrFihfv366cEHH9SyZcuaFFxuuukm2e12LViwQF988YUGDx6sZ599VldddZXffv/3f/+niooKvf3221q6dKmOPfZYPfXUU3rooYf89gsLC9Pf/vY3Pfzww7rrrrvkcrk0Z86ceoN87c9s7ty5Wrp0qd544w117dpVs2bN0uWXX97oazmazz77rN4RG127dlV6erpefPFF/f3vf9eSJUtUWlqq3r17a86cOX6rOkyaNEmvvfaaXnnlFRUXFyslJUW/+tWvdP311/vC87Rp0/TJJ59o5cqVcjqd6tKli2666aYG/e6MGDFC//nPf/TUU09p2bJlysnJUXR0tIYNG6Z7773Xt/rDz02YMEGPPvqoKioq9Ktf/arO68nJyXr99df1+OOP68MPP9Srr76q+Ph49evXT7feemtDf4QhpT1eEwA0lmGGUjcLAABNdM011+inn37yW44LAACgPeIeeQBAm1NZWen3fMeOHVq+fLlOOOGEILUIAACg9TC0HgDQ5owfP16/+c1v1L17d+3du1cLFixQWFiYrrjiimA3DQAAoMUR5AEAbc5JJ52kd999Vzk5ObLb7Ro6dKhuvvlmvzW2AQAA2ivukQcAAAAAoA3hHnkAAAAAANqQkBha//LLL2v+/PnKyclRZmam7rzzTg0ePLjefadNm1bvMjunnHKK/vWvf0mSbr/9di1ZssTv9bFjx2r+/PmBbzwAAAAAAK0o6EF+6dKlmjNnjmbPnq0hQ4bo+eef14wZM7Rs2TIlJSXV2f8f//iHqqurfc8LCwv161//WmeeeabffieddJLmzJnje26321vuIgAAAAAAaCVBH1r/3HPPaerUqZo8ebL69eun2bNnKzw8XIsXL653//j4eKWkpPi+Vq5cqfDw8DpB3m63++0XFxfXGpcDAAAAAECLCmqPvNPp1KZNm3TVVVf5tlksFo0ePVrr169v0DkWL16siRMnKjIy0m/7mjVrNGrUKMXGxurEE0/UTTfdpISEhEa1Lz+/RKE8FaBhSImJMSHfToQ26giBQB0hEKgjNBc1hECgjhAITamj2mMaIqhBvqCgQG63u84Q+qSkJG3btu2ox2/cuFGbN2/Wvffe67f9pJNO0umnn65u3bpp9+7devjhhzVz5kwtXLhQVqu1we1r6A8x2NpKOxHaqCMEAnWEQKCO0FzUEAKBOkIgtFQdBf0e+eZYtGiR0tPT60yMN3HiRN/3GRkZysjI0Pjx43299A2Vlxfan8IZhpSUFBPy7URoo44QCNQRAoE6QnNRQwgE6giB0JQ6qj2mIYIa5BMSEmS1WpWXl+e3PS8vT8nJyUc8try8XO+++65uuOGGo75P9+7dlZCQoJ07dzYqyJum2sQvb1tpJ0IbdYRAoI4QCNQRmosaQiBQRwiElqqjoE52Z7fbNWDAAK1atcq3zePxaNWqVRo2bNgRj122bJmcTqcmTZp01PfJyspSYWGhUlJSmt1mAAAAAACCKehD66dPn67bbrtNAwcO1ODBg/X888+roqJC5557riRp1qxZSk1N1S233OJ33KJFizR+/Pg6E9iVlZVp3rx5OuOMM5ScnKzdu3frwQcfVM+ePXXSSSe12nUBAAAAaJvcbreqq530yKPJDEOqrKz0qyOLxSKLxSrDMJp9/qAH+QkTJig/P19z585VTk6O+vfvr2eeecY3tH7//v2yWPwHDmzbtk1r167Vs88+W+d8VqtVmzdv1ptvvqmSkhJ16tRJY8aM0Y033sha8gAAAACOqKqqQps375HL5Q52U9DG5edb5PF4/LbZ7eGKjU2UzRbWrHMbpsnnTIeTmxvaE1wYhpScHBPy7URoo44QCNQRAoE6QnNRQ2guj8ejAwf2KDw8QpGRsQHpOUXHZbUacru9f4xM05Tb7VJpaaE8Ho86depWp75q/4Y1RNB75AEAAAAgFLjdLkmmYmPjZLEwmhfNY7NZ5HId2iPvkNVqVX5+tlyuaoWFNb3GgjrZHQAAAACEHnri0TIMIzARnCAPAAAAAEAbQpAHAAAAAKANIcgDAAAAAPycd97Zeu21Vxq8/7p1X2ns2BEqKSlpwVahFpPdAQAAAEAbNXbsiCO+Pn36TM2YcVWjz/v00y8oIiKiwfsPGjREb721TNHR0Y1+r8ZYt+4r3XDD/+m99/6rmJiGzfDeHhHkAQAAAKCNeuutZb7vP/74Q82f/6ReeWWxb1tERKTve+8SaG7ZbEePgQkJCY1qR1hYmJKSkht1DJqOIA8AAAAAh2Gapir9lhBreeE2S4PXsD80PEdHR8swDN+22t7rBx98TE8//YS2bftJDz88T6mpnfWPfzysTZu+VWVlhXr27K2rrrpWxx8/0neu8847W1OnXqipUy+S5O35v+22P+nzz1dozZpVSknppOuuu0ljx57i9161PeVLl76tuXMf0uzZczR37kM6cCBbgwYN1R/+8BclJ3vb53K5NG/eI1q27F1ZLFadddavlZ+fp7KyUs2Z81CTfnbFxcV67LG/a+XKz1Rd7dTQocN10023qnv3HpKkrKz9evjhB7Rx49dyuarVuXMXXXvtDRo1aqyKi4v1yCMP6MsvV6u8vEKdOnXStGnTNXHipCa1pSUR5AEAAACgHqZp6ooFG7RxX3Grvu+QLrF6+oIhDQ7zR/Pkk/N03XU3qkuXboqJiVF2drZOPHGMrrzyGoWF2bVs2bu67bab9cori9W5c+fDnue5557W1Vdfr2uvvVGLFi3U7Nl3avHitxUbG1fv/pWVlXr11Rd1551/lWFYdPfdd+rxxx/VX/5yjyTp5Zef1wcfLNMdd/xFvXr11uuvv6rPPvtUxx135NsFjuS+++7Snj27df/9DysyMkpPPPEP/f73N+qll16XzWbTww/fr+rqaj3++NMKDw/Xjh3bfaMWnnnmCe3YsU1///tcxcXFa8+e3aqqqmpyW1oSQR4AAAAADqM9rCh/xRVX6fjjT/Q9j42N0zHHpPuez5x5tZYv/69WrvyfJk8+/7Dn+dWvztLpp58pSbrqqmu1aNECfffdJp144uh693e5XPr97/+grl27SZLOPXeq/v3vZ3yvL178mi655DKdcsovJEm/+90srVq1ssnXuXv3Lq1YsVxPPDFfgwYNkST95S9369xzJ2r58k81btx4ZWdn6ZRTxqlv336S5GubJGVnZ+mYYzKUmXmsJCktrUuT29LSCPJtWIXTrQ27C9U1whrspgAAAADtjmEYevqCISE9tL4haoNprfLycj377L+0atUK5eXlyu12q6qqStnZWUc8T9++x/i+j4iIUFRUlAoK8g+7f3h4uF9QTkpK9u1fWlqq/Pw8HXvsAN/rVqtVGRn9ZZpN+3nv3LldVqtVxx470LctLi5ePXr01M6d2yVJ5513gf7+9zn68svVGjFipE45ZZz69fNe1znnnKc//WmWNm/+USecMFInnXSq7wOBUEOQb8P+9tEWvfvdAT11/mAd1y0+2M0BAAAA2h3DMBQR1rY7zsLD/Weff/zxR/Xll1/o2mtvUrdu3eVwOPSnP92m6mrXEc/z80nyDMOQaZoB2781nH32OTrhhBO1atUKrVnzhV588Tldd91NOu+8CzRq1BgtWvSOVq9eqS+//EI33niNzj13iq677qagtrk+rCPfhjnd3l+C77NLg9wSAAAAAG3FN99s0IQJZ+uUU36hvn37KTExSVlZ+1q1DdHR0UpMTNL333/n2+Z2u7V58w9NPmfPnr3ldrv13Xff+rYVFRVq166d6tWrt29bampnnXPOebrvvgd1wQWX6O233/S9lpCQoF/96iz9+c9364YbbtZ//rOkye1pSfTIt2Fd48IlSfuKKoPcEgAAAABtRbduPfS//32iMWNOkmTomWeekMfT+j3lkydP1UsvPadu3bqpZ89eWrRooUpKitWQmQm2bftJkZGRh2wxdMwx6TrppFN0//336ve//4MiIyP15JPzlJLSSSeddKok6bHHHtKJJ45W9+49VFJSonXrvlLPnt6Q/8wzTyojI1O9e/eV0+nU55+vUM+evQJ+3YFAkG/D0uIckqT9BHkAAAAADXT99b/TnDl/1f/93+WKi4vXxRdfqrKyslZvx8UXX6r8/Dzdc89fZLFYNWnSb3TCCaNksRx94Pi11870e261WvW//32hO+74ix577O+67babVF1drSFDjtODDz7mG+bv8bj18MP3KyfngCIjozRy5CjdcMPNkry3Ajz11OPav3+fHI5wDRkyVLNn3xf4Cw8Awwz2TQohLDe3RKH80/liZ76uW/St+iRFauFlTV+iAR2bYUjJyTEhX+8IbdQRAoE6QnNRQ2iu6mqn8vL2q1OnLrJYwoLdnA7H4/Ho4ovP07hxp2vmzKuD3Zxms9kscv1sosTaGktKSlNYmN3vtdq/YQ06d8BaiVaXFusdWr+/uFKmaQZ0ZksAAAAAaElZWfu1Zs1qDR16nKqrq7V48ULt37/Pt8QdDo8g34bVBvmKao8KK6qVEGk/yhEAAAAAEBoMw9B7772txx9/VKYp9enTV48++k+/ielQP4J8G2a3WZQa61B2cZX2FVcR5AEAAAC0GampnfXEE88GuxltEsvPtXHdE7wzNTJzPQAAAAB0DAT5Nq5bQoQkZq4HAAAAgI6CIN/GdU+s6ZEvJsgDAAAAQEdAkG/janvkGVoPAAAAAB0DQb6N4x55AAAAAOhYCPJtXO3Q+v3FlfKYZpBbAwAAAABoaQT5Nq5zXLgshuR0m8ovcwa7OQAAAADaoOuuu1KPPfaQ7/l5552t11575YjHjB07QsuXf9rs9w7UeToSgnwbF2a1KDXGIUnay/B6AAAAoEOZNet3uvnm6+t9bcOG9Ro7doR++mlLo8/79NMvaNKkc5vbPD/z5z+lyy67qM72t95aphNPHB3Q9/q5pUvf1plnntqi79GaCPLtQFpsuCRpf3FVkFsCAAAAoDWdddav9dVXX+jAgew6r7377n+UmXms+vU7ptHnTUhIUHh4eCCaeFRJScmy2+2t8l7thS3YDUDzdY0L17o9RUx4BwAAAASaaUquitZ9T1uEZBgN2nX06LGKj0/Q0qVv67LLrvBtLy8v13//+7GuvfYGFRUV6uGHH9CGDetVUlKsrl27adq06Tr99DMPe97zzjtbU6deqKlTvT3ou3fv0t/+dre+/36TunTpqhtvvKXOMf/851wtX/6pcnKylZiYrF/+8kxNnz5TNptNS5e+reeee1qSdyi9JP3hD3/RhAlna+zYEbrvvr/r5JNPlSRt3fqTHnvs7/r2228UHh6uU04Zp+uv/50iI73zg917710qLS3RoEFDtXDhS6qudum0036pG2+8RTZb0yJuVlaWHn30Aa1d+6UMw6KRI0fpd7/7vRITkyRJW7Zs1ty5D+mHH76XYRjq1q27Zs36gzIzj1VW1n49/PAD2rjxa7lc1ercuYuuvfYGnXTSyU1qS0MQ5NuBtDjvJ2WsJQ8AAAAEkGkq/o3fKCzrq1Z92+q041X4mzcaFOZtNpvOPHOC3nvvHV166QwZNcf8978fyeNxa/z4M1VRUa6MjP665JJLFRkZpVWrVuiee/6irl276dhjBx71PTwej/74x98rISFJTz31b5WVlWru3Ifq7BcZGak//vEvSk5O0datP+mBB+5VZGSkLr74Up122unatm2rvvjicz366D8lSdHR0XXOUVFRoZtvvk4DBw7SM888r4KCAv3tb/fokUce0B//eJdvv3XrvlJSUrLmzn1Ke/bs1l/+coeOOSZdkyb95qjXU9/13XHHzYqIiNQ//vEvud1uPfzw/frzn+/QvHn/kiT99a9/Unp6hm699Q5ZLBZt2bJZVqs3Tj/88P2qrq7W448/rfDwcO3YsV0REZGNbkdjEOTbgS61QZ4eeQAAACCwGtgzHkwTJ/5ar7zyotavX6vjjvP2di9d+rZOPXWcoqOjFR0drYsumubb/7zzLtCaNav1yScfNSjIf/XVGu3cuUMPPzxPyckpkqQrr7xWt956g99+h44ISEvrol27durjjz/QxRdfKocjXBEREbJabUpKSj7se3344TI5nU796U9/VUREhCTp5pt/r9tuu1lXX329r4c8JiZWv/vdLFmtVvXs2UujRo3V2rVrmhTk165do23btuq1195SampnSdKf/jRb06ZN1fffb1L//gOUnZ2tiy76rXr27CVJ6t69h+/47OwsnXLKOPXt20+S1LVrt0a3obEI8u1Al1jvZHf76ZEHAAAAAscwvD3jITy0XpJ69uylQYMG6913/6PjjhuhPXt2a8OG9Zox40lJktvt1osvPqdPPvlQOTk5crmq5XQ65XA07B74HTu2q1Onzr4QL0kDBw6us9/HH3+gRYsWaO/evaqoKJfb7VZkZFSDr0OSdu7crn79jvGFeEkaNGioPB6Pdu3a6QvyvXv3kdVq9e2TlJSsbdt+atR71dqxY4c6dUr1hfja80dHx2jHju3q33+Azj//Iv3tb3dr2bKlGjHiBI0bN94X2M877wL9/e9z9OWXqzVixEidcsq4Js1L0BhMdtcO1PbIZxVXye1hLXkAAAAgYAxDCots3a8mjAKYOPHX+t//PlF5eZneffc/6tq1m4YNGy5JeuWVF/X666/q4osv1dy5T+q5517RyJGj5HJVB+zH9O23G/XXv96pE08cowceeETPPvuyfvvbywP6Hof6+b3whmHI4/G0yHtJ0owZV+nFF1/T6NFjtG7dl7rkkin63//+K0k6++xz9Nprb+mMMyZo69afdMUV07Ro0YIWa4tEkG8XUqIdslkMuTymckqZuR4AAADoaMaNO12GYdEHHyzT++8v1cSJk3z3y3/zzQaNHXuKzjhjgo45Jl1dunTVrl27GnzuXr1668CBLOXm5vq2bdr0jd8+33yzUampnXXppTOUmXmsunfvoays/X77hIWFyeNxH/G9evbsrZ9+2qKKioOjIL755mtZLBb16NGzwW1ujF69eunAgWxlZ2f5tm3fvk2lpSXq3buPb1uPHj11/vkX65FHHtfJJ/9CS5f+x/daampnnXPOebrvvgd1wQWX6O2332yRttYiyLcDVouhzjXD65nwDgAAAOh4IiMjddppp+uppx5XXl6uJkw42/da9+7d9eWXX+ibbzZox47tevDB+1RQkNfgc48YcYK6d++pe+/9i7Zs2awNG9brX//6p98+3bt3V3Z2lj766H3t3btHr7++QMuXf+q3T+fOXbR//z5t2fKjCgsL5XQ667zXL3/5K9ntdt1771+0bdtPWrfuKz3yyIM644wJvmH1TeV2e7Rly49+Xzt2bNeIESPVp09f/fWvd+rHH3/Qd999q3vu+YuGDj1OmZnHqqqqUg8/fL/WrftKWVn7tXHj1/rhh+/Us2dvSdJjjz2kL75YpX379urHH3/QunVf+V5rKdwj306kxYZrT2Gl9hdVSS0/twIAAACAEHPWWb/WO++8pVGjxvjdz37ppTO0b99e3Xzz9QoPD9ekSb/RSSedqrKy0gad12Kx6L77HtTf/na3rrzyUnXunKabbvq9brnlet8+Y8eeovPPv0iPPPKAnM5qjR49RpddNkPPPvsv3z6nnjpOy5d/ouuv/z+Vlpb4lp87VHh4uB5+eJ4ee+zvuuKKS/2Wn2uuiopyTZ9+sd+2rl27aeHCNzVnzsN69NEHdN11M/2Wn/Nev1VFRUW6556/qKAgX3Fx8TrllF9oxoyrJEkej3eW+5ycA4qMjNLIkaN0ww03N7u9R2KYpslN1YeRm1uiUP7pGIaUnByj3NwS3f3+Zr31TZauHNVTM0e3zJATtE+H1lEo1ztCG3WEQKCO0FzUEJqrutqpvLz96tSpiyyWsGA3B22czWaRy+V/335tjSUlpSkszO73Wu3fsIZgaH070SWWteQBAAAAoCMgyLcTrCUPAAAAAB0DQb6dSGMteQAAAADoEAjy7UTXmh757JIqudwtt34iAAAAACC4CPLtRGKUXXarIY8pZbOWPAAAAACEnEDNNU+QbycshqG0WO6TBwAAAJrKYvHGI5erOsgtQXvldHo7Xa3W5q0Ezzry7UhaXLh2FlR415IHAAAA0CgWi1VhYeEqLi5UbKxFhkG/J5rO4zHkdnt74E3TlNNZpdLSAkVERPs+NGoqgnw7Unuf/F4mvAMAAAAazTAMxccnqrDwgPLzs4PdHLRxFotFHo///GUREdGKjU1s9rkJ8u1I7dD6/QytBwAAAJrEZgtTenq6srMLFKDbmdEBGYaUkBClgoIyXx1ZrbZm98TXIsi3I6wlDwAAADSfxWJRWJidII8mMwwpPDxcYWHVLVJH3PTRjnRhLXkAAAAAaPdCIsi//PLLGjdunAYNGqQpU6Zo48aNh9132rRpysjIqPN15ZVX+vYxTVOPPfaYxo4dq8GDB+uyyy7Tjh07WuFKgqu2Rz6n1Cmni7XkAQAAAKA9CnqQX7p0qebMmaNrr71WS5YsUWZmpmbMmKG8vLx69//HP/6hFStW+L7eeecdWa1WnXnmmb59nn76ab344ou666679NprrykiIkIzZsxQVVX7ns09PiJM4TaLTElZJe37WgEAAACgowp6kH/uuec0depUTZ48Wf369dPs2bMVHh6uxYsX17t/fHy8UlJSfF8rV65UeHi4L8ibpqkXXnhBV199tcaPH6/MzEw98MADOnDggD766KPWvLRWZxjGIffJVwS5NQAAAACAlhDUye6cTqc2bdqkq666yrfNYrFo9OjRWr9+fYPOsXjxYk2cOFGRkZGSpD179ignJ0ejR4/27RMTE6MhQ4Zo/fr1mjhxYoPbZxgN3jUoatt3aDu7xIVrW1659hdXhXz7ERrqqyOgsagjBAJ1hOaihhAI1BECoSl11Jh9gxrkCwoK5Ha7lZSU5Lc9KSlJ27ZtO+rxGzdu1ObNm3Xvvff6tuXk5PjO8fNz5ubmNqp9SUkxjdo/WA5tZ9/UGK3Ylq+Cao+Sk9tG+xEa2kq9I7RRRwgE6gjNRQ0hEKgjBEJL1VGbXn5u0aJFSk9P1+DBg1vk/Hl5JSG95IRheAvj0HYm2K2SpK1ZxcrNLQli69BW1FdHQGNRRwgE6gjNRQ0hEKgjBEJT6qj2mIYIapBPSEiQ1WqtM7FdXl6ekpOTj3hseXm53n33Xd1www1+21NSUnzn6NSpk985MzMzG9U+01Sb+OU9tJ1ph6wl3xbajtDRVuodoY06QiBQR2guagiBQB0hEFqqjoI62Z3dbteAAQO0atUq3zaPx6NVq1Zp2LBhRzx22bJlcjqdmjRpkt/2bt26KSUlxe+cpaWl2rBhw1HP2R7UriW/r4i15AEAAACgPQr60Prp06frtttu08CBAzV48GA9//zzqqio0LnnnitJmjVrllJTU3XLLbf4Hbdo0SKNHz9eCQkJftsNw9Bvf/tbPfHEE+rZs6e6deumxx57TJ06ddL48eNb7bqCpXbW+vzyalVWuxUeZg1yiwAAAAAAgRT0ID9hwgTl5+dr7ty5ysnJUf/+/fXMM8/4htbv379fFov/wIFt27Zp7dq1evbZZ+s958yZM1VRUaE///nPKi4u1vDhw/XMM8/I4XC0+PUEW4zDpii7VWVOt/YXV6l3UmSwmwQAAAAACCDDNLnz43Byc0N7ggvDkJKTY+q086IX1mpLTpke/c1AjemTGLwGok04XB0BjUEdIRCoIzQXNYRAoI4QCE2po9pjGiKo98ijZXStnfCumPvkAQAAAKC9Ici3Q2mxB2euBwAAAAC0LwT5dqh2wrv99MgDAAAAQLtDkG+H6JEHAAAAgPaLIN8O+e6RJ8gDAAAAQLtDkG+H0uK8y+wVVbpU5nQFuTUAAAAAgEAiyLdDUXab4sJtkuiVBwAAAID2hiDfTnXxDa+vCnJLAAAAAACBRJBvp7qwljwAAAAAtEsE+Xaqdub6/QytBwAAAIB2hSDfTnVh5noAAAAAaJcI8u1Ul1iG1gMAAABAe0SQb6cO7ZE3TTPIrQEAAAAABApBvp1Ki/WuJV/mdKukirXkAQAAAKC9IMi3U+FhViVGhkniPnkAAAAAaE8I8u3YwSXoWEseAAAAANoLgnw75pvwjh55AAAAAGg3CPLtWFoca8kDAAAAQHtDkG/HDg6tJ8gDAAAAQHtBkG/HutTMXM/QegAAAABoPwjy7ViXuAhJrCUPAAAAAO0JQb4d6xzjkCGp0uVRYUV1sJsDAAAAAAgAgnw7ZrdZlBJtl8TwegAAAABoLwjy7VxaLGvJAwAAAEB7QpBv53wz19MjDwAAAADtAkG+nfOtJc8SdAAAAADQLhDk27muNUPr99IjDwAAAADtAkG+nUuL864lv58gDwAAAADtAkG+netyyNB6D2vJAwAAAECbR5Bv51KjHbIYktNtKr/MGezmAAAAAACaiSDfztmsFqXGeIfXc588AAAAALR9BPkOoHYt+f2sJQ8AAAAAbR5BvgNgLXkAAAAAaD8I8h1Al5oe+X2sJQ8AAAAAbR5BvgOgRx4AAAAA2g+CfAdw6BJ0AAAAAIC2jSDfAaTFemetzyquktvDWvIAAAAA0JYR5DuAlGiHbBZDLo+pnFJmrgcAAACAtowg3wFYLYY61/TKM+EdAAAAALRtBPkOonbm+v1F9MgDAAAAQFtGkO8g0pi5HgAAAADaBYJ8B9E1jrXkAQAAAKA9IMh3EGmx9MgDAAAAQHtAkO8gWEseAAAAANoHgnwH0aVm1vrskiq53J4gtwYAAAAA0FQE+Q4iKcouh80ijylllTBzPQAAAAC0VQT5DsIwDHWO8fbKM7weAAAAANougnwH0oUl6AAAAACgzSPIdyC+IF/M0HoAAAAAaKuCHuRffvlljRs3ToMGDdKUKVO0cePGI+5fXFys2bNna+zYsRo4cKDOOOMM/e9///O9/o9//EMZGRl+X2eeeWZLX0ab0IUl6AAAAACgzbMF882XLl2qOXPmaPbs2RoyZIief/55zZgxQ8uWLVNSUlKd/Z1Op6ZPn66kpCQ99thjSk1N1b59+xQbG+u33zHHHKPnnnvO99xqtbb4tbQFabVL0BHkAQAAAKDNCmqQf+655zR16lRNnjxZkjR79mx9+umnWrx4sa688so6+y9evFhFRUVasGCBwsLCJEndunWrs5/ValVKSkrLNr4NOji0niAPAAAAAG1V0IK80+nUpk2bdNVVV/m2WSwWjR49WuvXr6/3mE8++URDhw7VX//6V3388cdKTEzUWWedpZkzZ/r1uu/cuVNjx46Vw+HQ0KFDdcstt6hLly6NbqNhNP66WlNt+xrazq5x3lnrc0qdqnZ7ZLcF/c4KhIDG1hFQH+oIgUAdobmoIQQCdYRAaEodNWbfoAX5goICud3uOkPok5KStG3btnqP2b17t1avXq2zzz5b//rXv7Rr1y7Nnj1bLpdL1113nSRp8ODBmjNnjnr37q2cnBw9/vjjuvjii/X2228rOjq6UW1MSopp2sW1soa2M8k0FWm3qtzpVqXVqi7Jjft5oH1rK/WO0EYdIRCoIzQXNYRAoI4QCC1VR0EdWt9YpmkqKSlJd999t6xWqwYOHKjs7GzNnz/fF+RPOeUU3/6ZmZkaMmSIfvGLX+i9997TlClTGvV+eXklMs2AXkJAGYa3MBrTzs4xDm3LK9d3O/MUa4TwxaHVNKWOgJ+jjhAI1BGaixpCIFBHCISm1FHtMQ0RtCCfkJAgq9WqvLw8v+15eXlKTk6u95iUlBTZbDa/YfR9+vRRTk6OnE6n7HZ7nWNiY2PVq1cv7dq1q9FtNE21iV/exrSzS1y4tuWVa29hZZu4NrSetlLvCG3UEQKBOkJzUUMIBOoIgdBSdRS0m6TtdrsGDBigVatW+bZ5PB6tWrVKw4YNq/eY4447Trt27ZLH4/Ft27Fjh1JSUuoN8ZJUVlam3bt3M/ldDd8SdKwlDwAAAABtUlBnO5s+fbpee+01LVmyRFu3btVdd92liooKnXvuuZKkWbNm6aGHHvLtf+GFF6qwsFD33nuvtm/frk8//VRPPfWULr74Yt8+999/v9asWaM9e/Zo3bp1uu6662SxWHTWWWe1+vWFIt/M9SxBBwAAAABtUlDvkZ8wYYLy8/M1d+5c5eTkqH///nrmmWd8Q+v3798vi+XgZw1paWmaP3++5syZo0mTJik1NVW//e1vNXPmTN8+WVlZuvnmm1VYWKjExEQNHz5cr732mhITE1v9+kKRby15lqADAAAAgDbJME3u/Dic3NzQnuDCMKTk5JhGtfPH7FJd8tI6JUaG6f2rR7VsA9EmNKWOgJ+jjhAI1BGaixpCIFBHCISm1FHtMQ3BQuIdTFrNWvL55dWqrHYHuTUAAAAAgMYiyHcwseFhinZ4Z/3fx/B6AAAAAGhzCPIdUFrNzPX7i5i5HgAAAADaGoJ8B9S1ZsK7vcxcDwAAAABtDkG+A/L1yDO0HgAAAADaHIJ8B8Ra8gAAAADQdhHkOyB65AEAAACg7SLId0Bd6ZEHAAAAgDaLIN8B1a4lX1TpUmmVK8itAQAAAAA0BkG+A4qy2xQXbpPE8HoAAAAAaGsI8h3UwQnvWEseAAAAANoSgnwH5Qvy9MgDAAAAQJtCkO+gutTOXM+EdwAAAADQphDkO6g0Zq4HAAAAgDaJIN9BMbQeAAAAANomgnwHVTu0fl9RpUzTDHJrAAAAAAANRZDvoNJivWvJlzndKmEteQAAAABoMwjyHVR4mFWJkWGSuE8eAAAAANoSgnwH1tV3nzxryQMAAABAW0GQ78DSYpm5HgAAAADaGoJ8B1Y7cz1ryQMAAABA20GQ78DSWIIOAAAAANocgnwH1pWh9QAAAADQ5hDkOzBfjzxryQMAAABAm0GQ78A6xzhkSKp0eVRQUR3s5gAAAAAAGoAg34HZbRalRNslMeEdAAAAALQVBPkOrnbm+r0EeQAAAABoEwjyHVztWvL7i6uC3BIAAAAAQEMQ5Du4LnHMXA8AAAAAbQlBvoPrEsta8gAAAADQlhDkOzh65AEAAACgbSHId3BpcQ5JUlZxpTysJQ8AAAAAIY8g38GlxoTLakhOt6m8MmewmwMAAAAAOAqCfAdnsxjqFOPtlWd4PQAAAACEPoI8Dt4nz4R3AAAAABDyCPI4uJZ8EWvJAwAAAECoI8iDmesBAAAAoA0hyIO15AEAAACgDSHIgx55AAAAAGhDCPJQWmzNWvIlVXJ7WEseAAAAAEIZQR5KiXbIZjHk9pjKKWXCOwAAAAAIZQR5yGox1LmmV5775AEAAAAgtBHkIemQCe+4Tx4AAAAAQhpBHpIOTnjHWvIAAAAAENoI8pB0MMjvZWg9AAAAAIQ0gjwkHRxav5+h9QAAAAAQ0gjykCSlsZY8AAAAALQJBHlIOji0/kBplVxuT5BbAwAAAAA4nKAH+Zdfflnjxo3ToEGDNGXKFG3cuPGI+xcXF2v27NkaO3asBg4cqDPOOEP/+9//mnVOSEmRYXLYLPKYUlYJE94BAAAAQKgKapBfunSp5syZo2uvvVZLlixRZmamZsyYoby8vHr3dzqdmj59uvbu3avHHntMy5Yt0913363U1NQmnxNehmEorWYt+f1MeAcAAAAAISuoQf65557T1KlTNXnyZPXr10+zZ89WeHi4Fi9eXO/+ixcvVlFRkR5//HENHz5c3bp10wknnKDMzMwmnxMHpbGWPAAAAACEPFuw3tjpdGrTpk266qqrfNssFotGjx6t9evX13vMJ598oqFDh+qvf/2rPv74YyUmJuqss87SzJkzZbVam3TOIzGMxl9Xa6ptX6Da2bV2LfniqpC/dgROoOsIHRN1hECgjtBc1BACgTpCIDSljhqzb9CCfEFBgdxut5KSkvy2JyUladu2bfUes3v3bq1evVpnn322/vWvf2nXrl2aPXu2XC6Xrrvuuiad80iSkmIafUwwBKqd/brESRv2K6/SpeTktnHtCJy2Uu8IbdQRAoE6QnNRQwgE6giB0FJ1FLQg3xSmaSopKUl33323rFarBg4cqOzsbM2fP1/XXXddwN8vL69Ephnw0waMYXgLI1DtjLd5PwLanlOq3NyS5p8QbUKg6wgdE3WEQKCO0FzUEAKBOkIgNKWOao9piKAF+YSEBFmt1jqT0OXl5Sk5ObneY1JSUmSz2WS1Wn3b+vTpo5ycHDmdziad80hMU23ilzdQ7ex8yD3ybeG6EVhtpd4R2qgjBAJ1hOaihhAI1BECoaXqKGiT3dntdg0YMECrVq3ybfN4PFq1apWGDRtW7zHHHXecdu3aJY/n4DrnO3bsUEpKiux2e5POiYO61gT5nFKnnC7WkgcAAACAUBTUWeunT5+u1157TUuWLNHWrVt11113qaKiQueee64kadasWXrooYd8+1944YUqLCzUvffeq+3bt+vTTz/VU089pYsvvrjB58ThxUXYFBHmLQmWoAMAAACA0BTUe+QnTJig/Px8zZ07Vzk5Oerfv7+eeeYZ3zD4/fv3y2I5+FlDWlqa5s+frzlz5mjSpElKTU3Vb3/7W82cObPB58ThGYahLnHh2ppbrv3FleqZGBnsJgEAAAAAfsYwTe78OJzc3NCe4MIwpOTkmIC283dLvtWKbfm6Y3w/nTukS2BOipDWEnWEjoc6QiBQR2guagiBQB0hEJpSR7XHNERQh9Yj9NSuJb+vuCrILQEAAAAA1IcgDz9ph8xcDwAAAAAIPQR5+OlS0yPPZHcAAAAAEJoI8vDThR55AAAAAAhpBHn4qe2Rzy+vVkW1O8itAQAAAAD8HEEefmLCbYp2WCUxvB4AAAAAQhFBHnUwvB4AAAAAQhdBHnXUDq/fV8QSdAAAAAAQagjyqONgkKdHHgAAAABCDUEeddSuJc898gAAAAAQegjyqIMeeQAAAAAIXQR51NGFHnkAAAAACFkEedSRFueQJBVVulRa5QpyawAAAAAAhyLIo44ou01x4TZJ9MoDAAAAQKghyKNe3CcPAAAAAKGJII96+YJ8MWvJAwAAAEAoIcijXrUT3tEjDwAAAAChhSCPeqXV9MjvJ8gDAAAAQEghyKNeB4fWE+QBAAAAIJQQ5FGvrocMrTdNM8itAQAAAADUIsijXp1jvWvJlzndKq5kLXkAAAAACBUEedQrPMyqpCi7JNaSBwAAAIBQQpDHYXWp6ZVn5noAAAAACB0EeRwWa8kDAAAAQOghyOOw0lhLHgAAAABCDkEeh1XbI8898gAAAAAQOgjyOKwuNT3ye+mRBwAAAICQQZDHYfl65FlLHgAAAABCBkEeh5Ua45AhqdLlUUFFdbCbAwAAAAAQQR5HYLdZlBJds5Y8w+sBAAAAICQQ5HFEtcPruU8eAAAAAEIDQR5HdHDmetaSBwAAAIBQYGvKQfv375dhGOrcubMkaePGjXr77bfVr18/nX/++QFtIIKLteQBAAAAILQ0qUf+lltu0erVqyVJOTk5mj59ur755hs98sgjmjdvXkAbiOCq7ZHfx1ryAAAAABASmhTkt2zZosGDB0uS3nvvPR1zzDFasGCB/v73v2vJkiUBbSCCqws98gAAAAAQUpoU5F0ul+x272zmn3/+ucaNGydJ6tOnj3JycgLXOgRdbY98VnGlPKwlDwAAAABB16Qg369fPy1YsEBfffWVPv/8c5188smSpAMHDig+Pj6Q7UOQdYpxyGpITrepvDJnsJsDAAAAAB1ek4L8rbfeqoULF2ratGmaOHGiMjMzJUmffPKJb8g92gebxVBqjEMSw+sBAAAAIBQ0adb6kSNHavXq1SotLVVcXJxv+9SpUxURERGwxiE0pMWFa19xlfYVV2pI17ijHwAAAAAAaDFN6pGvrKyU0+n0hfi9e/fq3//+t7Zv366kpKSANhDBVzvh3f4i1pIHAAAAgGBrUpC/5ppr9Oabb0qSiouLNXXqVD333HO69tpr9corrwSyfQgBaXHMXA8AAAAAoaJJQX7Tpk0aMWKEJOn9999XUlKS/vvf/+r+++/Xiy++GNAGIvi6spY8AAAAAISMJg+tj4qKkiStWLFCv/zlL2WxWDR06FDt27cvoA1E8KWxljwAAAAAhIwmBfkePXroo48+0v79+7VixQqNGTNGkpSXl6fo6OiANhDB51tLvqRKbg9ryQMAAABAMDUpyF977bV64IEHNG7cOA0ePFjDhg2TJK1cuVL9+/cPaAMRfMlRdtkshtweUzmlTHgHAAAAAMHUpOXnzjzzTA0fPlw5OTm+NeQladSoURo/fnzAGofQYLUYSot1aHdhpfYWVapzzVB7AAAAAEDra1KQl6SUlBSlpKQoKytLktS5c2cNHjw4YA1DaEmLDdfuwkrtZ8I7AAAAAAiqJgV5j8ejf/7zn3ruuedUXl4uSYqKitL06dN19dVXy2Jp0oh9hLAuLEEHAAAAACGhSUH+kUce0aJFi3TLLbfouOOOkyStXbtW8+bNk9Pp1O9+97uANhLB5wvyxdwjDwAAAADB1KQgv2TJEt1zzz067bTTfNsyMzOVmpqq2bNnNzrIv/zyy5o/f77vnvs777zzsMP033jjDd1xxx1+2+x2u7755hvf89tvv11Llizx22fs2LGaP39+o9qFg7qwBB0AAAAAhIQmBfmioiL16dOnzvY+ffqoqKioUedaunSp5syZo9mzZ2vIkCF6/vnnNWPGDC1btkxJSUn1HhMdHa1ly5b5nhuGUWefk046SXPmzPE9t9vtjWoX/KXV9MjvJ8gDAAAAQFA16Wb2zMxMvfzyy3W2v/zyy8rIyGjUuZ577jlNnTpVkydPVr9+/TR79myFh4dr8eLFhz3GMAzfZHspKSlKTk6us4/dbvfbJy4urlHtgr/aofUHSqvkcnuC3BoAAAAA6Lia1CP/+9//XldddZU+//xzDR06VJL09ddfa//+/Xr66acbfB6n06lNmzbpqquu8m2zWCwaPXq01q9ff9jjysvL9Ytf/EIej0fHHnusbr75Zh1zzDF++6xZs0ajRo1SbGysTjzxRN10001KSEho1HXW09EfUmrb1xrtTI4Kk8NmUZXLo+zSKnWLj2j5N0WraM06QvtFHSEQqCM0FzWEQKCOEAhNqaPG7NukIH/CCSdo2bJleuWVV7Rt2zZJ0umnn67zzz9fTzzxhEaMGNGg8xQUFMjtdtcZQp+UlOQ778/17t1b9913nzIyMlRSUqJnn31WF1xwgd5991117txZkndY/emnn65u3bpp9+7devjhhzVz5kwtXLhQVqu1wdeZlBTT4H2DqbXa2S0hQltzylQmi5KT28bPBg3XVuodoY06QiBQR2guagiBQB0hEFqqjpq8jnxqamqdSe1++OEHLVq0SHfffXezG3Y4w4YN07Bhw/yeT5gwQQsWLNBNN90kSZo4caLv9YyMDGVkZGj8+PG+XvqGyssrkWkGrOkBZxjewmitdqZG27U1p0zf785XRryj5d8QraK16wjtE3WEQKCO0FzUEAKBOkIgNKWOao9piCYH+UBISEiQ1WpVXl6e3/a8vLx673uvT1hYmPr3769du3Yddp/u3bsrISFBO3fubFSQN021iV/e1mpnWu3M9YWVbeLngsZpK/WO0EYdIRCoIzQXNYRAoI4QCC1VR02a7C5Q7Ha7BgwYoFWrVvm2eTwerVq1yq/X/Ujcbrc2b96slJSUw+6TlZWlwsLCI+6Do+vKWvIAAAAAEHRB7ZGXpOnTp+u2227TwIEDNXjwYD3//POqqKjQueeeK0maNWuWUlNTdcstt0iS5s2bp6FDh6pnz54qLi7W/PnztW/fPk2ZMkWSVFZWpnnz5umMM85QcnKydu/erQcffFA9e/bUSSedFLTrbA/SWEseAAAAAIKuUUH+uuuuO+LrxcXFjW7AhAkTlJ+fr7lz5yonJ0f9+/fXM8884xtav3//flksBwcOFBcX684771ROTo7i4uI0YMAALViwQP369ZMkWa1Wbd68WW+++aZKSkrUqVMnjRkzRjfeeCNryTdT7RJ0+4sJ8gAAAAAQLIZpNnzE/h133NGg/ebMmdPkBoWS3NzQnuDCMKTk5JhWa2dhebVOf8J7G8SKG8fKYQvqnRkIkNauI7RP1BECgTpCc1FDCATqCIHQlDqqPaYhGtUj314COpomLsKmyDCryqvdyiquVM/EyGA3CQAAAAA6HLpU0WCGYSgtzrvs3D6G1wMAAABAUBDk0ShdmPAOAAAAAIKKII9G6Z3kHU7/6U95QW4JAAAAAHRMBHk0yrlD0mQ1pNU7CrRpf+NXKQAAAAAANA9BHo3SNS5Cvzo2VZL0zOpdQW4NAAAAAHQ8BHk02vSRPWQxpBXb8vVDdkmwmwMAAAAAHQpBHo3WIyFCv8zsJEmaT688AAAAALQqgjya5PKRPWTIO+ndTzllwW4OAAAAAHQYBHk0Se+kSJ2WniKJXnkAAAAAaE0EeTTZjBN7SJI+3pyj7XnlQW4NAAAAAHQMBHk0Wb+UKJ3aL0mmpGe/oFceAAAAAFoDQR7NUtsr/8EPB7SroCLIrQEAAACA9o8gj2bJTI3R2D6J8pjSv+mVBwAAAIAWR5BHs9X2yi/9Llt7i+iVBwAAAICWRJBHsw1Mi9WJPRPkNqXn1+wOdnMAAAAAoF0jyCMganvl3/42W1nFlUFuDQAAAAC0XwR5BMTQbnEa0T1OLo+pF77cE+zmAAAAAEC7RZBHwMw4sack6a1v9iuntCrIrQEAAACA9okgj4AZ3j1OQ7vGyuk29SK98gAAAADQIgjyCBjDMHz3yr+xcb/yypxBbhEAAAAAtD8EeQTUyJ4JGtA5RlUuj17+il55AAAAAAg0gjwCyjAMXTHK2yu/aMM+FZZXB7lFAAAAANC+EOQRcGN6JyqzU7Qqqj16dR298gAAAAAQSAR5BNyh98ovXL9PxZX0ygMAAABAoBDk0SJO7pekfslRKnO6tXDdvmA3BwAAAADaDYI8WoTFMHR5Ta/8q+v2qrTKFeQWAQAAAED7QJBHixl3TLJ6J0aqpMql17+mVx4AAAAAAoEgjxZjtRiafmJ3SdLLX+1RudMd5BYBAAAAQNtHkEeLOj2jk3okRKio0qXFG+iVBwAAAIDmIsijRdkshi47wdsr/9JXe1RZTa88AAAAADQHQR4t7lf9O6lLrEP55dV6Y+P+YDcHAAAAANo0gjxanM1q0WUjvTPYv/jlHlW5PEFuEQAAAAC0XQR5tIqzBqQqNcah3DKn/vNtVrCbAwAAAABtFkEerSLMatGlNffKP79mt6rd9MoDAAAAQFMQ5NFqJg3srOQou7JLqvTOpuxgNwcAAAAA2iSCPFqNw2bRtOO7SZL+/cUuueiVBwAAAIBGI8ijVZ07OE2JkWHaV1yl974/EOzmAAAAAECbQ5BHqwoPs+qSEd5e+ee+2CWXxwxyiwAAAACgbSHIo9VNHtJFceE27S6s1Ic/0isPAAAAAI1BkEeri7RbdXFtr/zq3XLTKw8AAAAADUaQR1BMGdpFMQ6btueX65MtucFuDgAAAAC0GQR5BEW0w6YLj+sqSXp29S55THrlAQAAAKAhCPIImvOP66Iou1U/5Zbpfz/lBbs5AAAAANAmEOQRNLHhYTp/WBdJ0vzVu2TSKw8AAAAAR0WQR1BdeFw3RYRZ9OOBUq3cnh/s5gAAAABAyCPII6jiI8N03hBvr/wzq+iVBwAAAICjIcgj6C4e0U0Om0Wbskr0xc6CYDcHAAAAAEJaSAT5l19+WePGjdOgQYM0ZcoUbdy48bD7vvHGG8rIyPD7GjRokN8+pmnqscce09ixYzV48GBddtll2rFjRwtfBZoqKcqucwenSaJXHgAAAACOJuhBfunSpZozZ46uvfZaLVmyRJmZmZoxY4by8g4/i3l0dLRWrFjh+/rvf//r9/rTTz+tF198UXfddZdee+01RUREaMaMGaqqqmrpy0ETTTu+m+xWQxv2FWvt7qJgNwcAAAAAQlbQg/xzzz2nqVOnavLkyerXr59mz56t8PBwLV68+LDHGIahlJQU31dycrLvNdM09cILL+jqq6/W+PHjlZmZqQceeEAHDhzQRx991BqXhCZIiXbo14O8vfLzV+8McmsAAAAAIHTZgvnmTqdTmzZt0lVXXeXbZrFYNHr0aK1fv/6wx5WXl+sXv/iFPB6Pjj32WN1888065phjJEl79uxRTk6ORo8e7ds/JiZGQ4YM0fr16zVx4sQGt88wmnBRrai2faHezoa69IRuWrJxv77aXaQNe4s0tFtcsJvUIbS3OkJwUEcIBOoIzUUNIRCoIwRCU+qoMfsGNcgXFBTI7XYrKSnJb3tSUpK2bdtW7zG9e/fWfffdp4yMDJWUlOjZZ5/VBRdcoHfffVedO3dWTk6O7xw/P2dubm6j2peUFNOo/YOlrbTzaJKTYzRlRHe9umaXnl+7V+OHdgt2kzqU9lJHCC7qCIFAHaG5qCEEAnWEQGipOgpqkG+KYcOGadiwYX7PJ0yYoAULFuimm24K6Hvl5ZUolOddMwxvYYR6OxvjgsGpeu3LXfpsS64+/WavBqbFBrtJ7V57rCO0PuoIgUAdobmoIQQCdYRAaEod1R7TEEEN8gkJCbJarXUmtsvLy/O77/1IwsLC1L9/f+3atUuSlJKS4jtHp06d/M6ZmZnZqPaZptrEL29baWdDdImL0K+OTdU7m7L1zKpdeuQ3A4PdpA6jPdURgoc6QiBQR2guagiBQB0hEFqqjoI62Z3dbteAAQO0atUq3zaPx6NVq1b59bofidvt1ubNm30Bvlu3bkpJSfE7Z2lpqTZs2NDgcyK4po/sIYshrdiWrx+yS4LdHAAAAAAIKUGftX769Ol67bXXtGTJEm3dulV33XWXKioqdO6550qSZs2apYceesi3/7x587RixQrt3r1bmzZt0u9//3vt27dPU6ZMkeSd0f63v/2tnnjiCX388cf68ccfNWvWLHXq1Enjx48PyjWicXokROiXmd7RFPNX7wpyawAAAAAgtAT9HvkJEyYoPz9fc+fOVU5Ojvr3769nnnnGN7R+//79slgOft5QXFysO++8Uzk5OYqLi9OAAQO0YMEC9evXz7fPzJkzVVFRoT//+c8qLi7W8OHD9cwzz8jhcLT69aFpLh/ZQ+9/f0Cf/pSnLTmlOiYlOthNAgAAAICQYJgmd34cTm5uaE9wYRjemd5DvZ1Ndcfb3+ujzTkan56sOWcfG+zmtFvtvY7QOqgjBAJ1hOaihhAI1BECoSl1VHtMQwR9aD1wODNO7CFJ+nhzrrbnlQe5NQAAAAAQGgjyCFn9UqJ0ar8kmZKe/YJ75QEAAABAIsgjxNX2yn/wwwHtKqgIcmsAAAAAIPgI8ghpmakxGtsnUR5TumHxN/psa16wmwQAAAAAQUWQb8Osud9LK+dKrspgN6VF3XByH6VE27W3qFI3v7lJN73xLb3zAAAAADosgnwbFrl2nvThnYr88rFgN6VF9U6K1OvTR+i3x3eXzWJo5fZ8XfD8V5r32XaVO93Bbh4AAAAAtCqCfBtWdczZkqSIr/8lS/GeILemZUXZbbr+5N5acOlwje6doGq3qefX7NZ5z32pZd8fEKsoAgAAAOgoCPJtmLP3GVKvk2S4qxS1ek6wm9MqeiZG6tHfDNRD5wxQ17hw5ZQ6defSH3TVwg3afKA02M0DAAAAgBZHkG/LDEM6416ZMhS+5S3ZstYGu0WtwjAMndw3SQsvG6Grx/RSuM2i9XuLNe2ldbr/oy0qqqgOdhMBAAAAoMUQ5Nu6tCGq6j9VkhS9YrbUgYaYO2wWXX5iD70+fYTGp6fIY0qLNuzX5Ge/1Bsb9snt6Tg/CwAAAAAdB0G+HSgf+XuZtkiFZa+T46f/BLs5ra5zbLjmnN1fT0wZrL7JkSqqdGnORz/pspfXa8PeomA3DwAAAAACiiDfDniiO6v8uGskSVGf3ye5OubSbCN6xOulacN1yy/6Ktph1Q8HSnXFgg36y3s/KLe0KtjNAwAAAICAIMi3E+VDr5I7Ok3W0r2K/PqZYDcnaGwWQxcc11WLLz9evx7YWYakpd8d0HnPfaUXv9ytarcn2E0EAAAAgGYhyLcXYREqO/EOSVLEunkyyg4EuUHBlRhp15/OSNdzFw/TgM4xKnO6NXf5dl34/Fqt3pEf7OYBAAAAQJMR5NuRqvRzVN1pqCzVZYpa82CwmxMSBnSO0bMXDdWdZ6QrMTJMOwsqdP3ib/X7tzZpb1HHvAUBAAAAQNtGkG9PDItKx/5FkhT+3QJZc78LcoNCg8UwNGlgZy2+/HhdeFxXWQ3p05/yNPW5r/Tkyh2qrHYHu4kAAAAA0GAE+XbGlXa8KvudLUNmh1uO7miiHTbd/Iu+evm3wzWiR7ycblPzV+/SlOe+0sebc2TyswIAAADQBhDk26GyUX+QaXXIvnel7Ds+CnZzQk7f5Cj987xBuv/s/uoc41BWSZVuf/t7XbvoG23LKwt28wAAAADgiAjy7ZAntrsqhsyQJEV9frfkdga5RaHHMAyNS0/R69NH6IoTe8huNfTlrkJd9PxaPfzfrSqtcgW7iQAAAABQL4J8O1U+/Hp5IpJlK9ymiG9fCHZzQlZ4mFVXjeml16aP0Kn9kuQ2pVfX7dXkZ7/Uf77Nkofh9gAAAABCDEG+nTLtMSobeaskKfLLR2RUFgS5RaGta1yEHvz1AP1j8kD1TIhQfnm17n5/s3770nr976c87p8HAAAAEDII8u1YZf8L5UrKlKWqSJFfPhrs5rQJJ/ZK1KuXDtcNJ/dWlN2qHw+U6ta3NunSl9drxTYCPQAAAIDgI8i3ZxarSsf8WZIU8e3zshZsDXKD2oYwq0XTju+uN2ecoEtP6K6IMIu+zy7V75Zs0vRXvtbn2/MJ9AAAAACChiDfzlV3P1lVPU+T4XEp6vN7g92cNiU+MkzXndRbb11xgqaN6KZwm0Wbskp04xvfasarX2v1DgI9AAAAgNZHkO8AysbcKdOwyrHjA4XtWRns5rQ5CZF23XBKH715xQm6aHhXOWwWfbO/RNcv/lYzF2zQmp0FBHoAAAAArYYg3wG4E/qpcuA0SVL0irskjzu4DWqjkqLs+t2pffXmFSfowuO6ym41tGFfsa5d9I2uWrhBa3cXBruJAAAAADoAgnwHUXbCLfI44mTL+17hP7wW7Oa0aclRdt38C2+gP39YF9mthtbvLdb/vbZR//faBq3bUxjsJgIAAABoxwjyHYQZnqDyETdJkqJWPyDDWRrcBrUDKdEO3Tqun5bMOEFThnZRmNXQ2t1FumrhRl39+kZ9vaco2E0EAAAA0A4R5DuQikGXyhXXS5aKHEWsezzYzWk3OsU4NOu0fnrj8uM1eUiabBZDX+0q1MyFG3Tdoo3auK842E0EAAAA0I4Q5DsSq11lo/8kSYr8+l+yFO8JcoPal86x4bp9/DF6Y8bxOmdQZ1kthr7YWagZr36tGxZ/o037CfQAAAAAmo8g38E4e58hZ9dRMtxVilo9J9jNaZfSYsP1x1+ma/HlIzRpYKqshrRqR4Eue+Vr3fTGt/ouqyTYTQQAAADQhhHkOxrDUNmYv8iUofAtb8mWtTbYLWq3usZF6M4zMrTo8uN11oBUWQxp5fZ8Xfryet285Fv9kE2gBwAAANB4BPkOyJUyUJWZUyVJ0StmS6yB3qK6xUfoL2dm6PXpx2vCsZ1kMaTPtuVr2kvrdeubm/TjASYeBAAAANBwBPkOqvzEWTJtkQrLXifHT/8JdnM6hB4JEZr9q0wtvGyEzuzfSYak/23N0yUvrtOs/3ynn3LKgt1EAAAAAG0AQb6D8kSlqnz4tZKkqM/vk1wVQW5Rx9ErMVJ3T/AG+l9mpMiQ9N8tubrwhbW64+3vtDWXQA8AAADg8AjyHVj50Cvlju4ia+leRX79TLCb0+H0TorUvWf116uXDtf49GRJ0kebc3XB82t123++02aG3AMAAACoB0G+I7NFqOzE2yVJEevmySg7EOQGdUx9k6M05+xj9epvh2vcMd5A/8mWXF384jrd+uYmfc+keAAAAAAOQZDv4KrSz1F1p6GyVJcpas2DwW5Oh9YvJUr3TzpWr146XKfXDLn/39Y8/fal9brpjW/1zT7WoQcAAABAkIdhUenYuyRJ4d8tkDX3u+C2B+qXHKX7zuqvhZeN0K/6d/ItW3f5q1/r+kXf6Os9RcFuIgAAAIAgIshDrrQRqux3tgyZLEcXQnonReqvEzL1+vTjdfaAVFkNafXOAs1cuEFXv7ZBa3cXyuS/FQAAANDhEOQhSSob9QeZVofse1fKvuOjYDcHh+iREKE/n5mhRZcfr3MGdZbNYuir3UX6v9c26qqFG/TFzgICPQAAANCBEOQhSfLEdlfFkCskSVGf3y25nUFuEX6uW3yE/vjLdC2ZcbzOG5KmMKuh9XuLdd2ibzTj1a+1cns+gR4AAADoAAjy8Ckffp08EcmyFW5TxLcvBLs5OIzOseG6bfwxenPGCTp/WBc5bBZ9s79EN73xrS59eb3+91MegR4AAABoxwjy8DHtMSobeaskKfLLR2RUFgS5RTiSTjEO3Tqun9684gRdPLybwm0WfZ9dqlvf2qRLXlynT7bkykOgBwAAANodgjz8VPa/UK6kTFmqihT55aPBbg4aIDnKrptO7aP/zDxBl57QXZFhVm3OKdNt//lOF72wVh/8cEBuD4EeAAAAaC8I8vBnsap0zF8kSRHfPi9rwdYgNwgNlRBp13Un9dZbM0/Q5Sf2UJTdqq255frjuz/ogue/0tLvsuUi0AMAAABtHkEedVR3P0lVPU+T4XEp6vN7gt0cNFJ8RJiuHtNLb88cqStH91SMw6Yd+RX6y3s/aupzX+rtb7PkcnuC3UwAAAAATUSQR73Kxtwp02KTY8eHCtu9ItjNQRPEhNs0c1RP/WfmCbpmbC/Fhdu0u7BSf31/syY/95WWbNyvagI9AAAA0OYQ5FEvd0I/VQyYJkmKXjlb8riD3CI0VbTDpukje+g/M0fqhpN7KzEyTPuKKnXfh1v0m/lfatHX+1Tl4r8vAAAA0FaERJB/+eWXNW7cOA0aNEhTpkzRxo0bG3Tcu+++q4yMDF1zzTV+22+//XZlZGT4fc2YMaMlmt6ulZ9wszyOONnyvlf4DwuD3Rw0U6TdqmnHd9dbV5yg353aR0lRdmWXVOlvH/2k4+/5SLe+uUkL1u3VTzllzHYPAAAAhDBbsBuwdOlSzZkzR7Nnz9aQIUP0/PPPa8aMGVq2bJmSkpIOe9yePXt0//33a8SIEfW+ftJJJ2nOnDm+53a7PeBtb+/M8ASVj7hJ0StnK2r1g6rqN0mmPTrYzUIzhYdZddHwbjp3cJr+822WXvhyt7JLnPr0pzx9+lOeJO999sO7x2l493iN6B6vXokRMgwjyC0HAAAAIIVAkH/uuec0depUTZ48WZI0e/Zsffrpp1q8eLGuvPLKeo9xu9269dZbdf3112vt2rUqLi6us4/dbldKSkqLtr0jqBh0qcK/fUG2ou2KWPe4yk+8LdhNQoCEh1k1dVhXTR7aRfsr3fr4m336aleRvt5bpMKKan28OVcfb86VJCVF2TW8W5yG9/AG++7x4QR7AAAAIEiCGuSdTqc2bdqkq666yrfNYrFo9OjRWr9+/WGPe/zxx5WUlKQpU6Zo7dq19e6zZs0ajRo1SrGxsTrxxBN10003KSEhoVHtC/WcUtu+Fm2nza7yMX9S7NIZivz6X6oacLE8sd1a8A3R2sIshob1SFCPKJsuGylVuz3alFWir3YVau3uIm3cV6y8Mqc++DFHH/yYI0nqFG33hfoR3ePUNT4iyFeBYGuVv0do96gjNBc1hECgjhAITamjxuwb1CBfUFAgt9tdZwh9UlKStm3bVu8xX331lRYtWqQ333zzsOc96aSTdPrpp6tbt27avXu3Hn74Yc2cOVMLFy6U1WptcPuSkmIavG8wtXg7kyZL3/1bxo7PlLjuQem8Z1v2/RAUh9ZRWmqcxg/xfmBTWe3W17sLtWprnlZty9PXuwp1oNSp9747oPe+OyBJ6hofoVF9kzSqT5JG9U1SF4J9h9VW/m4itFFHaC5qCIFAHSEQWqqOgj60vjFKS0s1a9Ys3X333UpMTDzsfhMnTvR9XzvZ3fjx43299A2Vl1eiUJ7zyzC8hdEa7bSO/JPid5wp49vFKsz4rVxpw1v2DdFqGlJH/WLt6jcsTdOGpamy2q2N+4r11e5CfbWrSJuySrS3sEKL1u7RorV7JEnd4sO9vfU9vD32ydGOVrwiBENr/j1C+0UdobmoIQQCdYRAaEod1R7TEEEN8gkJCbJarcrLy/PbnpeXp+Tk5Dr77969W3v37tXVV1/t2+bxeNfBPvbYY7Vs2TL16NGjznHdu3dXQkKCdu7c2aggb5pqE7+8rdFOV/IAVfafqojvFypqxWwVTn6L8UbtTEPryGGz6vgeCTq+R4I0Rip3urVhX5G+2lWktbsL9X12ifYUVmpPYZbe/CZLktQzIUIjesRrePd4De8ep8RIJp9sr9rK302ENuoIzUUNIRCoIwRCS9VRUIO83W7XgAEDtGrVKo0fP16SN5ivWrVKl1xySZ39+/Tpo7fffttv26OPPqqysjL98Y9/VOfOnet9n6ysLBUWFjL5XTOVj5yl8C1vKyx7nRJfGitXYobcicfIlXiM3AnHyBXfT7JHBbuZaGWRdqtG9UrUqF7eUTKlVS59vfdgsP/xQKl2FlRoZ0GFFm/YL0nqkxSp47rFaUBajPqnxqhXYqSsFj4YAgAAABoi6EPrp0+frttuu00DBw7U4MGD9fzzz6uiokLnnnuuJGnWrFlKTU3VLbfcIofDofT0dL/jY2NjJcm3vaysTPPmzdMZZ5yh5ORk7d69Ww8++KB69uypk046qXUvrp3xRKWqdMydil7+R1mLd8pavFPa8YHfPu6YbnIleIO9N+Sny53QT6YjLkitRmuLdtg0tk+Sxvbxzn1RXFmt9XuK9NVub7DfklOmbXnl2pZXrkU1wT4izKLMTtHq39kb7PunRqt7QoQsjPoAAAAA6gh6kJ8wYYLy8/M1d+5c5eTkqH///nrmmWd8Q+v3798vi8XS4PNZrVZt3rxZb775pkpKStSpUyeNGTNGN954I2vJB0DlwGmq6nOmbPmbZc3fLFvBlprHn2SpyJW1ZI+sJXukXf/1O84dmeoN9jUB353gDflmRNJh3gntRWx4mE7pl6xT+nl/pwvLq7VuT6E27CvW91kl+uFAqSqqPVq/t1jr9x5cSjLaYVVmaoyOTY1W/9QYHds5RmmxDpa9AwAAQIdnmCZ3fhxObm5oT3BhGFJyckzItNOoyPcG+4ItsuZv8YV8a1nWYY/xhCf+LNx7Hz1RnbkHv5UEu47cHlM7C8r1fVapvssq0ffZJdqcU6Yql6fOvnHhNvXv7B/uU6LthPsQEOw6QvtAHaG5qCEEAnWEQGhKHdUe0xBB75FH+2FGJKo6YqSqu4z0225UFcta8JOsBbXh3vtoKd4tS2W+7Pu/kPZ/4XeMxx7jDfZ+IT9DnpiuBPx2xmox1CcpSn2SojRxQKokyeX2aFteeU2wL9X32SXaklOmokqXVu8o0OodBb7jk6Ls6p8arWNrgn3/ztFMpgcAAIB2jSCPFmc6YuXqfJxcnY9T1aEvVFfIVrjV22t/SMi3Fu2QxVkiS/Y6hWWv8zuXxx4jd2KGXEmZciVlyp2UKVdipszw+Na8JLQwm9Wi9E7RSu8UrXNqtjldHv2UW+brtf8+u1TbcsuUV+bUim35WrEt33d8aozDG+47x+jY1BhlpkYrLiIsKNcCAAAABBpBHsETFiFXykC5Ugb6b3dXyVq4XdaCn7z34hds8T4WbvUG/KyvFJb1lf8hUam+UO9K6u/9PqGfZAtvxQtCS7LbLN5g3vngcKPKard+PFDq67X/PqtUO/LLlV1SpeySKn3608GlLbvGhevYzjEa2jVWQ7vGqV9KFJPpAQAAoE0iyCP0WB1y1/S2Ow/d7nbKWrhVtrwfZMv7Udb8H2TL+8E7wV5Ztqxl2bLv+p9vd9Owyh3fW67Emp77pAy5EjPliespGQ2fQLFVuCplqSqSUVkoMyxSnug0ycKv59GEh1k1pGuchnQ9uCpCmdOlH7Jrwn1N7/3uwkrtLfJ+ffhjjiQpxmHTkK6xGtY1TkO7xal/arTCrCFWFwAAAEA9SApoO6x2uZP6y53U32+IvuEskTXvR2/Az/9e1jxvwLdUFclW8JNsBT9JW9/x7W/aIuRKTK8Zmt+/phc/U2ZkcvPaZ5pSdbksVYUyKgtrHgsOeV4ko6pQlsrCuo+uCv9TWWxyx3STJ66n3LG95I7rKXdsz5rHHlJYZPPa2o5F2W0a3j1ew7vH+7YVV1br++xSfbu/WF/vKdbGfcUqqXL5Dcl32CwalBajYd3iNLRrnAZ1iVVEmDVIVwEAAAAcHrPWH0Goz1TJjJpHYJqylGf7Qr0t7wfv9wVbZLir6j3EE5HkC/XeYfoZksV6SCg/wmNNKDc81U1vsmGR6YiT4SyT4XEecV93ZKeakN/zZyG/p3dJv0YMGe+IdeTymNp8oFRf7y3S+j3er6JKl98+Vouh/qnRvh77oV1jFRvOffaH0xHrCIFHHaG5qCEEAnWEQGjpWesJ8kcQ6r+8/JFpAo9L1qIdBwN+vjfgW4t2ylBgfoimJUye8ASZjniZ4fHy/PwxPF6mo+6jaY/2Dvn3uGUpy5a1eIesRTtlLdopS7H30Vq8U5aqoiNfYliUPLXB/mch3xPTtc6QfepI8pimduSX+0L9+j1FOlDq/2GKIalvclRNj32shnWLU0q0IzgNDkHUEQKBOkJzUUMIBOoIgUCQD6JQ/+Xlj0wAVZfLlr/Z23OfX3MPfsFmybDUG7rrPib4nssW0aJL5BmVhbLWBvuinbIU75C1eJf3+9L9R/xAwrTY5InuKndcL7lje8gd11OeuJ6K7dpHBaUeeazhUliETGu4zLAIyWLvkMv9maap/cVV+npvkdbtKdLXe4q0s6Cizn7d4sN9PfbHdYtT17jwDrumPX+PEAjUEZqLGkIgUEcIBIJ8EIX6Ly9/ZFCHq9I7+V/RTu8yfsW7Dob+4l2Hva3gcEwZki1Cpi1c5iGPOuLzQ7cd3F7nPPY4eaI7h97Eg4eRV+bUhtpgv7dYmw+U1vnIJDnK7rvH/rhuceqTHNlhZsbn7xECgTpCc1FDCATqCIHQ0kGeye6A9sQWLndCP7kT+tV9zfTIUpZV04u/yzdU31q0Q2FVBfI4yyVXpQxXhQzTLUne3n1XuQxXeYs017Q6vKMD4vt4v+J6yxXfR+743jIjkkNqNEBSlF3j0lM0Lj1FklRa5dKGfcVaX9NjvymrRLllTn34Y45vZvzYcJuGdInViB7xOqFngvomRXbYHnsAAAAEDkEe6CgMizzRXeSJ7iJ1HXVwc80nf/mHflrorvbOpF8b7Gsf3ZVStffRqK7wvaY6+1Qe3MddWf+5qopkuKtky/9Rtvwf6zTXY4+pCff+Qd8d31umI67O/q0t2mHTmN6JGtM7UZJ3TftNWSXeYL+3SBv3Fau40qXPtuXrs5qZ8RMjw3R8Tag/oUe8OseGB/MSAAAA0EYR5AHUZQ2TaQ2THLEBmgKwHh6XLMW7ZSvaLmvhNlmLtsta6P3eUrJXFmeJLAc2KOzAhrqHRiTLHd9brjhv7733yxv6ZYtoqRYfUXiY1W/ZO5fbox9zyrRud6HW7CrU+j1Fyi+v1vs/5Oj9H7w99j0SInzBfkT3OGbFBwAAQINwj/wRhPp9Mdy/g0AIyTpyVdbc518T8g8N+uUHjnioO7pLTc99TS9+bciP6S5ZgxeUnS6PvtlfrDW7CvXlzgJtyiqR55CftyEpMzXa11s/pGucHLa2MX+AFKJ1hDaHOkJzUUMIBOoIgcBkd0EU6r+8/JFBILS1OjKcpYcE/EN787cdcWk+07DKE9NN7ujO8kR1licyVZ4o/y93VGcpLLJVrqO0yqW1uwv15a5CrdlZqO35/vMQ2K2GhnSN0wk1PfYZnaJltYTu/fVtrY4QmqgjNBc1hECgjhAIBPkgCvVfXv7IIBDaTR2ZpozKgjoh31YT9A1X3eXj6uOxx3iDfWTdkO97HtlJsgX2/vYDJVX6clehvtxVoDW7CpXzs3XsY8NtGt493hfsu8eH1lJ37aaOEFTUEZqLGkIgUEcIBGatB4CGMAyZEYlyRSTK1Xm4/2um6Z2xv3iXLGXZNV9Z3sdy73NraZYMV7n33nxniVTw0xHfzuOIrwn2nWuCvjfgHwz/neWJTJGs9gY1v1OMQxMHpGrigFSZpqkd+RVas7NAX+4q1Fe7C1Vc6dJ/t+Tqv1tyJUmdYxy+++uP7xGvpKiGvU9zudwelVe7Ve50q6La+32F061Kl1tDTEOxofPZAgAAQLtFkAfQ/hmGPNFp8kSnHXk3Z6l/yD806B/yAYDhrpKlqlCWqkKpnhn3D+UJT5BpsUsWiySLZLFKMmQatd9bvB+/GtZDthlKMCwaZrHqSllkdjNUVm2qqNKtokqPCqs8clca8my2yLPZ0HYZynKEKSEyXIlRDiVEhcsSHiuXPV5VtlhV2GJVZo1RmRGjEku0SswYFSpS5W5LTSB3q9zpUXm1q05Ar32sqPZ+X+0+8kfKfZMjddoxKRqXnqw+LLcHAADQIgjyAFDDtEfLbY+WO6HvEXYyZVQV+YV8b9A/JPyXZctSfkCGp1qWyoKAtM0hKbH2SX1z4LkkFdd8NVCJGaEiRanAjFahGa0iRavQjFKhap9HqbDmtcKa14oULafCFGY1FBlmVUSYVRF2q+xWi7bmlmlrbrm25u7Uv1btVK/ECI1LT9FpxyTrmJQoQj0AAECAEOQBoDEMQ2Z4vNzh8XInZRx+P9Mjo7JAlvIcyeOWIY/kcUumR5L5s22mVPO9ccjrB7cdfF3yeD9M8L3uUbnTqV355dqdX6rd+WUqraxStFGheJUq3ihTolGmBEupElSqWJUqRmWSpBijQjGqUDcjt1E/Ao8tUmZ4vExHvDzh8b7vjcxEfZtj6tt8UxvzDBUURmjjF5Fa+UWkomITNbxvD43N7K7+nWMJ9QAAAM1AkAeAlmBYZEYkyR2R1OJvZZHUq+ZLknJLq2RK3t7yMKvfbPeVkio9bhnOYlkqC2RUem8RMCoLZVQVyuJ79H/NUlUoo6pIhumRxVUulZZLpfvqtGV4zVedf12qJH0nuTcZKjMi5Q6LkS0yTo6oeJn2OJmOGHnssTIdsTLtsT97HiPTESePPUamI1ayOgL9IwQAAGhTCPIA0M4kRx8l6FqsMsMT5A5PaNyJTY8MZ0ndgF9ZIEtVoaIslaoszPHuU1Vc81gko6pEqiqS1XTJapiKVZlUXSYVZUmHXzHw8M2wOmTaY+VxxDQj1Dd9GmLTFiF3XK+ar95yx/eWO663zPD4Jp8TAACgMQjyAICGMSwyHXHe3nH19H/JkKKSY1R6uCVWTFNyV8pZVqiN2/fo6227tX3vfoW5yhRrlClG5Uq1VykzzqNeUdVKslXJ6iyW4Sz2fShgcZZ438tdJaMiR5aKnFa46PqFZa+vs80TnlAn3PtCviM2CK0EAADtFUEeANDyDEOyRcgeF6ERQ9M0YujxqnJ59MXOAn2yOUdvb81TaYVbqvDunhARplOPSdJpx6RoePc42awW73wB1aUHg31VkeSpbmgDAraf4SyStXC7rEU7ZC3aLmvhDlnLs2WpLJClsuAwIT+xTrh3x/WSO763THvD1osFAACoRZAHAASFw2bRyX2TdHLfJFW7PVqzq1CfbM7R/37KU0FFtZZszNKSjVmKC7fplH5JGpeeohN6xCvMESdJcge5/X6cZb5gbyvcLkvRDtmKtstauF2WihxZKvNlycpXWNbaOod6IpL9w70v7PeSaY8OwsUAAIBQZ5hmvYMgISn3cENEQ4RhSMnJMSHfToQ26giBEMg6crk9Wru7SB9vydGnW7yhvla0w6pT+ibpF8ek6MReCXLY6luLL7QYzhJvyC+s6cGvCfjWou2yVOQd8Vh3ZCd54nrJHdNNpi1CptUu2RwyrQ7J6pBptdd8b5dpc0gWh0ybd/vB18MPvl6zf+3xslhb6afQMPw9QnNRQwgE6giB0JQ6qj2mQfsS5A8v1H95+SODQKCOEAgtVUcuj6kNe4v08eZcfbIlV3llTt9rkWFWDe4aq5Qou5Kj7UqOctQ8Hvyyh3jQN6qKDxmi/7OQX1nQ4u9vWmySxX5I+A8/+OGALVyeiCR5IlNqvjrJE5lc85giT0SKFBYR0Pbw9wjNRQ0hEKgjBEJLB3mG1gMAQpbNYmh493gN7x6vW37RV9/sK9bHW3L1yeYcHSh1avWOI4fduHCbkqLsSqkJ+ElRDt/3yb4PAOwKDwtOz7TpiJWr02C5Og2u85pRWegL+ZbSLBnuKsldJcPtlOGulNxOGa4q72PNdrkrva+7qiTPoa9X1rxeJcP0HHwPj0vyuGS4ypvUfk9YtC/km5HJhw38nshkyWpv8s8JAAD4I8gDANoEq8XQ0G5xGtotTr87tY++yyrRtrxy5ZY6lVtW81Va5fu+2m2qqNKlokqXtuUdOahGO6xKiXIo6ZCQfzD825US7VBylF2R9tYL/GZ4vFzhQ+VKHRrYE3tckqtKhscpw1V5yAcBNaG/dpurXJaKPFnKDshSkStLeY4s5QdkKc+VpfyADHeVLNWlshSVSkXbj/62jvhDevdT/Hv6I7zB34xKlhLCA3u9AAC0QwR5AECbYzEMDUyL1cC0+pd1M01TxZUu5ZQ5lVcT9HNqQn5eWe1z72OVy6PSKrdKq8q1Pf/IgT8yzKrOsQ5ldIpWZqr3Kz0lWtGONvTPqcUm2W0yFaUmjxg1Te/KARXeUG8py/EuCegX9r1LBFrKc2R4XLJUFcpSVSgVbDnq6RPDomWGJ8gTHu99dMT7Pw+Pl+k49HmCTHtsyN3zDwBAS2lD/+cBAEDDGIahuIgwxUWEqV9y1GH3M01TZU53Taiv6c2v7eH36+l3qrzarfJqt7bllWtbXrne+/6A7zw9EiKUWRPuMzp5v+IiwlrjUoPDMGQ6YuV2xMod3+fI+5oeGVVFNSHfv1ffF/bLagJ/ZZ4M0yNLdalUXSprye4GN8mUIdMR5x/uHfHex/CEw2yPlxkW7b0pEQCANoQgDwDosAzDULTDpmiHTb2TIo+4b7nTrZzSKu0urNAP2aXerwOlyi6p0q6CCu0qqNAHP+b49u8SF+4X7jNTo5UY2QHvEzcsMsMT5A5PkDsx/ci7yqPkKLfy9+2WUVEoS2WBjKoCWSoLZVTWPFbVbK88ZHt1qQyZ3teqCqWiHQ1unmkJk+mIlcceK9MR6/0wwPd9rEx7nDy+72PlccT5XvPY4yRbOB8E/Jzp8d6+4a6ULGEsowgALYAgDwBAA0TareqZGKmeiZEa2yfJt72g3KkfDxwM9j9kl2pvUaX21Xx9siXXt2+naLsyU2OU2SlaGanRyuwUrZRouwyCoJdhkSLj5IkPkxnXiOPcTm+vf2VBTcg/JOxXFfo/Hvq6u0qGp1pGRd5RlwI8nIZ9EBAj017zWs0HAqbNUd8P4GdPf14XR3l+tP1Nl4zagO2q9P/eXSnDVVkzR0JV3e9rHnWY7/329RxcXcKUIVfKQFV3GyNn1zGq7jJSCjvyh2YAgKNj+bkjCPUlJ1gaA4FAHSEQqCN/xZXV2nygrCbYl+iH7FLtKqio9570xMgw7/32naKVURPy02IdHTLct3odVVd4A72zWEZVsSzOYhlVRYd8731+8PtiWaqKfPsbprsVGtm+mJYwuVKHydltjKq7jVF16jDJWt+HGk3D3yIEAnWEQGD5OQAA2pjY8DCN6BGvET3ifdvKnC5tOTTcHyjV9rxy5ZdX6/PtBfp8+8Gl9OLCbb7h+BmdvBPqpcWFy2GzBOFq2rGwCHnCIiR1afyxpilVl8viLDoY8hvxQYDc1T8/od8zo87/9R3leUP+L9EwZFrDZdq8X7I6Dvm+nu3WcO/IgUO/r3msfV02h++cB/cLl2l1SDaHLBV5CtuzUmF7V8q+Z6WsJXsUtn+Nwvavkb58RKYtXNVpI+XsNlrV3cbKlTyQSQsBoAHokT+CUP8Ujk8LEQjUEQKBOmqaymq3fsot0/fZpfqxZmj+1twyuTz1/xCTouxKi3Woc0y4usQ51Dk2XGmxDqXFhistNrxVl8drCdRRO2eashTvkn3PCoXt/Vz2PStlqcj128XjiFN1lxO9PfZdx3jnVWjE6BRqCIFAHSEQ6JEHAKCdCg+z1llGz+nyaFteTbivued+a26ZKl0e5dUsn/ft/pJ6zxcXbvML951jHepSE/I7xzoUG27rkEP2ESIMQ564nqqM66nKARdLpilr/o/eYL/nc4XtWyVLVZEc29+XY/v7kiRPRIqvt97ZbYw8sT2CfBEAEBoI8gAAhBC7zeKdEC/14CfypmmqqMKl/SWV2l9cpf1FldpfXKms4irtL/ZuK6lyqajSpaJK7wcA9YkMsyotribkx9T05Md5g3/n2HAlRYYR9NF6DEPupExVJGWqYsgVksclW843CtvjHYYftn+NLBU5Ct/ylsK3vCVJcsf2kLNrTbDvOlpmVKcgXwQABAdBHgCAEGcYhuIjwxQfGab+qfUPuSutch0S7L3hPqu4UvtqHvPLq1Ve7dbW3HJtzS2v9xx2q+Hr0U+NcSgizKowq0V2m0UOq0VhVkMOm0X2mm0HH41D9qnZ3+b93nHIPnxIgCOy2ORKHSZX6jBVDL9OclcpLGutL9jbDnwta/EuRRTvUsT3CyRJrsQMX7Cv7nqiFN6Y5Q4awOP2rorgcXof3dWSxynD7ZTc1b6VD2R65I7tKU90GssRAmgV3CN/BKF+Xwz37yAQqCMEAnUU+iqr3coqqfIL+Yf27ueUOuudVT+QwqyGN/z7hX3vNofNovAwq0b0TtLQzlEa0DlWNguBCAcZzlKF7ftCYXs/V9ieFQrL3eT3umlY5EoZpLBeJ6qiyhvAveHbKXmqa8K307vkYH2veWqC+qHB3fQ0qo0ee4zcielyJabLnZghV2KG3Inp8kR2IuC3IfybhkBo6XvkCfJHEOq/vPyRQSBQRwgE6qjtq3Z7lF1S5evVzyl1qsrlVpXLVLXboyq3R06Xx/u9yyOn2yOn25Sz9vvDbGtqOcSG23RCjwSN6ZOgUb0SlRRlD+j1ou0zKvK9k+bVBHtb4bYWf0/TYpdpDZOsdpkWu/fRGua9379ktwyPq97jPI44uRIzvSE/KaMm7GfIjEhq8TYHjOmRUVkg0x4d0CUDQxH/piEQCPJBFOq/vPyRQSBQRwgE6gj1MU1TLo+pKr8PAMyDwd8X/r3biyurtTG7TP/78YCKK/0DUWanaI3unaDRvRM1MC1WVnrr8TOW0n2y7/1cMeVbVV7pkWm1Sxa7TOvPw3eY32ve5w7JElazn0OmpWb/Q46RJezIvepup6yF22TL3yxr/o+y5f8oa/5mWYt2HLZn3xORXNN7ny5XYqbvezM8vmV+SPVxVchSniNL2QFZymu/cmQpy/Y++rblyjDdMi1hcicco+qUQXKlDJAreaDcycd6A347wb9pCASCfBCF+i8vf2QQCNQRAoE6QiDU1lHWgWJ9u69Yn+8o0Krt+fo+23/yvthwm0b2TNDo3vTWw19I/i1yVcpasFW2Q8K9LX+zrMU7D3uIOyq1Zmh++iGP6TLtDfsffG/veaEs5dn1h/TyAzXbcmRxFjf7Ek0Zcsf1kitloFzJA2oeB8qMTG72uYMhJOsIbQ5BPohC/ZeXPzIIBOoIgUAdIRAOV0e5ZU6t3pGvz7cX6IudBXV66/unRmtU70SN7pVAb30H16b+FlWXy1awxRvs8344GPBL9x72EHd0V1+odyccI3mch4T0HL+wfrhh/vUxrQ55IjvJE9VJnsgUeSJTvY9RnbzbI1O8jxFJspQdkC33W9lyvvU9Wsuy6m9vVOc64d4T0y3k5wtoU3VUy6+h5s+2/fz5IdsMi2Rh/vOWQJAPolD/5W2Tf2QQcqgjBAJ1hEBoSB25PKY27S/W59u9wf6HA3V760/s6R2Cf2KvBHrrO5j28LfIcJbUhPpDeu/zfpS1PLvR5/KEJx4M4YcN6Z28Pf3NCNdGRd4hwX6TbLnfylq4XUY9s2R4HHE1wX6QL+C74/tKFmuT3z/QWrSOPG5ZSvfKWrjNeytG4TZZC7fLWrRdltIseQP2EYJ3zbb6frZN5Y7uKndCP7ni+8id0E/u+L5yJ/SRJ4pVGJqDIB9Eof6PQHv4xwrBRx0hEKgjBEJT6qi2t37lNm9vfUlV3d760b0TNbp3ogZ0jqG3vp1rz3+LjMoCWfO3HByiX7hNpi3i8CE9IlmyBu+DLMNZKmvud37h3pa/2btc38+YtnC5kvrLlTzQd9+9KylTsoUHoeUBqCPTlFGeI1vRNl9gtxZu9z4W7fSuitAGeMKi5I7v4/2qCfiu+L5yx/eRwiKC3byQR5APolD/R6A9/2OF1kMdIRCoIwRCc+uotrd+ZU1v/Y8/662P891bn6hRvROUGElvfXvD36IQ566SLX9LTe/9NzUB/zsZrvI6u5qGVe7EY7yT6cX1kscRJ9MRK9MR5/3eHivTESuPI06yRQS057ihdWRUFR0M6IXbZC06+L2luuywx5lWh9xxveSO7+0NyXF9vN9Hdz04MsF3PQevy6z9/uev1bNv3Z/Hz/et2eaukrVoh2wFP8lauFXWgm2yFv7k/cDBdB/2Gry9+DXBPqFvTS9+X3rxD0GQD6JQ/0eAf6wQCNQRAoE6QiAEuo5yS6u0akeBPt+er9U7C1Ra5f8/pbW99f1To9U5NlxdYsMVE869om0Zf4vaII/bGyR9991vki3nW1kq8xt8CtMS5g31NeHedMTL44j1C/tmzQcB3n3iaj4Q8L7+8+X0/OqoukLWop1+Peu1Pe2WirzDt8mwyBPTXe743t4h6/F95I7zBndPdJeQupWgXu5qWYt3yVob8Au3ylbgfbRUFhz2MNMWKVdC35qe/L41Q/Y7Zi8+QT6IQv0fAf6xQiBQRwgE6giB0JJ15PKYNTPh199bXyvKblVabLjSYh1Kiw1X51iHusSFq3PNtoSIMBn0NoUs/ha1E6YpS+l+X7i3lGXJqCqWpapIhrNYRlWRLFXexyP1Gjf47Wzh8thre/y9Qd9u9cids0WWkn1HvB/dHZl6sGf9kLDujutR5wOC9sKoyD8k2P9U04u/VdbinUecZLG2F98d19u79KPp8f73M03JdEumRzLdMvyeew7Zz+O3r+9Yj1uSR/J4ZMjjff7zY2WofNiVqso4r/V+Th0hyL/88suaP3++cnJylJmZqTvvvFODBw8+6nHvvvuubr75Zp122mn65z//6dtumqbmzp2r119/XcXFxTruuON01113qVevXo1qV6j/I8A/VggE6giBQB0hEFqzjnJLq/T5jgKt2VmgXQUVyiquUkFF3Xt3f85hsygt1uHrwe9cE/hrg39ytF0Wgn7Q8LeogzFNqbpcFmfRwaBfVSzj58+rimv2qd1eXPOBQHGDJo3z2GMPBvX4PocMie8t0x7dChfaRtT24hdu9fXk2wq3yVrw0xF78VtLZb+zVXLGE632fu0+yC9dulSzZs3S7NmzNWTIED3//PNatmyZli37//buPTiq+v7/+Gvv2SSbkKskQGLAJighMTAOAkF/Vqq2Yh0vaFuVylDbKnVaLxWmFxC0gm11BEWrlbGoZX5laNWCl/60v9ppf0WxiiDIF1GQa5AkJNkku9nr+f2xm01W7rBh98DzMZPZk885Z/Ne/HiS1zmf8zlvqKio6LD77d69W9/5znc0bNgw5efnJwX5Z555Rs8884wWLlyooUOHatGiRfrkk0/02muvyeU69jNjmf5LgF9WSAX6EVKBfoRUSHc/8oci2ucNqMnbE/8KaJ+3R3s7AtrX2aOWruBR/+S3Wy0aHA/6ZR6XyvL7Qn5ZXpZKPS7ZT3LCvahhKBo1FDFiy5GoEW+TIobRr01Jy0YKZ7k+Vi67VYM9WadsksF09yGYTDQiS6irX+iPXfG3BrzyeNxqt5cpnD9cRlYh932fpP5X8a3e2P33hsUWe/xd4ssmw2KN/Vv3W2fE1/Xftq+tb1vjS++V1Ga1KzR47CmdQPG0D/JTp07V6NGjNWfOHElSNBrVxRdfrFtuuUXf//73D7lPJBLRTTfdpOuuu07vv/++vF5vIsgbhqFJkyZp+vTpmjFjhiSps7NTEyZM0MKFC3XllVcec22Z/kuAX1ZIBfoRUoF+hFTI9H4UDEf1RWcs6B8q8H/RGVDkKHVbLVJJrkvZTpui8QAeMXSY5eRw3hvezcZhs2joILcqC9yqLMxOes13O1L6szK9D8Ec6EdIhYEO8mmd0SUYDGrTpk36wQ9+kGizWq2aMGGC1q1bd9j9lixZoqKiIk2dOlXvv/9+0rrdu3erublZEyZMSLR5PB7V19dr3bp1xxXkM/3EW299mV4nMhv9CKlAP0IqZHo/cjmsqih0q6Lw0BM2haOGWroCavIGtLejJxH498Zf93l7FIwY+qIzMKB12iyS1WqR1WKRzWKR1SrZLJa03NvvC4YVjBja3urT9lafpOTJwQa5Haos7BfyC906uyBbQwZlyWGzHvfPy/Q+BHOgHyEVTqQfHc+2aQ3ybW1tikQiBw2hLyoq0rZt2w65z3//+1+tXLlSL7/88iHXNzc3J97jy+/Z0tJyXPUVFR3b2ZB0M0udyGz0I6QC/QipYOZ+NLhUqj3Mumg86O9u96snFJHNYpHNapHVaulbjr/arEos97X1W+4N6Ae1ZVbyiEQN7W3367PmLm1r7ta2lvhrc7f2eXvU7g+pfU9I6/d4k/azWS2qKMzW8OIcDS/J0fCSXA0vzlFVSY5Kcl1HPSlh5j6EzEE/QioMVD8y1TNWurq6dN999+mBBx5QYWHhgP+81tbMHk5jscQ6RqbXicxGP0Iq0I+QCmdCP7JKqsi269j+BDPiMzRLiva1RpO/zXhuSbVFbtUWuSUVJ9p9wYh2tvn0+QG/dhzwaUebXzvbYsv+UFTbW7q1vaVbf/+f5PfLddlUUZCduJJ/dvxK/rBBbrmdttO+D2HgnQnHIgy8E+lHvfsci7QG+YKCAtlsNrW2Jg+zam1tVXFx8UHb79q1S3v27NHtt9+eaItGY7/KzjvvPL3xxhsqKSlJvEdpaWnSe44cOfK46jPivz8znVnqRGajHyEV6EdIBfrRmcHtsKmm1KOa0uQ/Wg3DUHNXUDvafNpxwK8dbX1Bv6mjR12BiD7e16mP93Um7WeRNDjPperBeRpZnK268jzVluUp25nhz+tGxuJYhFQYqH6U1iDvdDo1atQorVmzRpMnT5YUC+Zr1qzRzTfffND2w4cP16pVq5LaHnvsMXV3d+vnP/+5Bg8eLIfDoZKSEq1Zs0bnnnuupNiV/PXr1+vb3/72wH8oAAAAnDCLxaJSj0ulHpcuqChIWhcIR7Wr3a+d8WC/I/HqV2cgrCZvQE3eZv3zk9j2NotUXZqr+iH5qi/PU/2QPJXknp7P9gZwZkn70Prp06dr1qxZqq2tVV1dnZYtWya/369rr71WknTffffprLPO0j333COXy6Xq6uqk/fPy8iQpqX3atGl66qmnVFlZmXj8XGlpaeJkAQAAAMzHZbfqnOIcnVOck9RuGIba/CHtbPOryR/W/9uyX+v3eLWvM6DNX3Rp8xdd+t8f7JEkledn6fwheaovz1PdkHwNL8qW1WSzmvWEImryBmSxSFl2q9wOm9wOmxy29ExqCODUS3uQ/8Y3vqEDBw5o8eLFam5u1rnnnqtnn302MbS+qalJVuvxzVp62223ye/3a86cOfJ6vRo7dqyeffbZ43qGPAAAAMzBYrGoMNupohynvlbs0Te+UiTDkPZ5e7Rhr1cf7vFq/Z4OfdrSrb0dPdrb0aPXPt4vSfK47KqLX62vH5Kn887yKMuR/uH4wXBUezp6tLPNr13tfu1q82tn/PVwTz6wWaSseKh3O6zKctiUZY8tux02ZTn6Qn9ivcMmt713fd+2vdv3tmXZbbJl2GSKwJks7c+Rz2SZ/uxInnGJVKAfIRXoR0gF+hFO1tH6UFcgrI1N8WC/16uNe73qCSdPHWi3WnTuWcnD8QuynQNSbzhqqKmjRzvbYxP97WrrC+z7vD2KHuH/gxxnLFj7QxGFIqfmfxiX3aoh+VkaXZ6n0WUe1ZblqcqEIxqOhmMRUuG0fo48AAAAcKrkuuy68OxCXXh27OlH4UhUnzR368M9HYkr963dQX3U1KmPmjr1Yny/igJ3fDh+vuqH5KmiwH3MQ9gjUUNfdAaSrqj3XmXf09GjyBHSerbDpmEFsRn5Kwrdqhjk1rCC2Gu+256oIRw11BOKyB+KyB+Kyh+KJH3fE46/9m875PYHb9sTiqq3wkA4qm2tPm1r9emVj/ZJip1QqI2H+tFleRpV5tEgt+OE/vsAOHYEeQAAAJyR7Darzhvs0XmDPfrO2Ni99ns6eofjd2j9Hq+2tfq0Mx6+/7rxC0lSgduh+iF5qivP0/lD8lVTmqv2+D36vWG9N7jvafcreIQr5i67VcPiAX3YILcqCrJUUZCtYQVuFWU7jumEgd1qUa7LrlxX6v+0NwxDgXAs7HcHI/qspVsfNXVqY5NXm5o61R2M6N0d7Xp3R3tin4oCd+KK/eiyPI0oyZGdYflASjG0/ggyfTgNw36QCvQjpAL9CKlAP8LJGog+1OEP6aP4cPwNezq0aV/nEYP5oThsFg3Jjwf0eFjvDe6lHpdph6aHo4Y+a+nWxiavPtrr1UdNndrZ5j9ouyx77IRJLNh7VFuep+KcgbldIRU4FiEVGFoPAAAApEm+26HG4UVqHF4kKTYJ3f/s79L6+BX7D/d0qKMnLJslNiN+35X17ERgH+zJOi0nirNbLaopzVVNaa6uqy+XJLX7Q9rU1KmPmrza2OTVxvhV+w92d+iD3R2JfcvzXLFgH7/fvro0Vw7b8U1wDZzJCPIAAADAMXLaraorjw2rv+WC2NDz1u6gBrkdshNENcjt0MThhZo4PDYPQdQwtL3VF7tqHx+Sv63Fp73egPZ6m/V/tjRLkpw2i2pKPRpd7tHosjzVlnk0OC8rnR8FyGgEeQAAAOAEWSwWFefyiOPDsVosGlGcoxHFObp6dJmk2NMDNu3rjA/Jj7129IT1UZNXHzV5Je2RJJXmOlVblqezi7KVn2VXXpZdHpdDefHl2JdDLjsnUHDmIcgDAAAAOGVyXXaNqyzQuMoCSbFRDbvae+L32ceG43/a3KX9XUH9360t0tYjv5/Lbo2HfLvys+zyZCWHfY/LEW/vC/95Lrtys+xMwgfTIsgDAAAASBuLxaKKArcqCty6ctRZkiR/KKKP93VqY1On9nl71BkIq6MnrM6esLw9IXl7wuoMhBU1Yo/Fa+4KqrkreNw/O8dpO2T4LyvMUZbFUIHbqYJsh4qyY6+D3I7Tcr4DmA9BHgAAAEBGcTtsGjtskMYOG3TYbaKGIV8woo6ekDp7Dg763p6wvIGD2zoDYXUHI5Kk7mDssXryBo6pLoti8wAUZDtUmO1QYTzgF2Y7VZjtUEHi1aGiHKfcDlsK/jWAgxHkAQAAAJiO1WJRrsuuXJddyj++fcOR6Jeu8oflDYTk9ceCfkAW7WntVpsvqAO+kA74Qurwh2RIavOH1OYPaVvr0X9Olt0aC/w5ThW444E/Jx74e08I5MTCf34WV/tx7AjyAAAAAM4odptVBdlOFWQf/Dz7wz3/Oxw11OEP6UA83Lf5+i/3Bf7e5UA4qp5wND5D/7Fd8c922JTttCnHaVOOy65sp0258e+znfZYe3w519W7bFNOv3U5Lruy7FZZLJwUOJ0R5AEAAADgKOxWi4pynCrKOTj8f5lhGPKHoklBvzX+2hYP/P1PCPRe7feFIvKFImrpPrlarRYdHPCdduW4bMp2xMJ+X3u/df32yXXGTiQ4eSpARiLIAwAAAEAKWSwWZTttyna6NXSQ+6jbh6OGvD0h+YIRdQci6g6FY6/BiLqDYfmCEXUFI+oOxJYP2R6K7WtIihpSVyCirkDkpD+Lw2ZJhPvECAGX/eDRAC67chw25bj6Tg70ji7Iddnldti4dSCFCPIAAAAAkEZ2qyU+Yd7JvU/vSABfMBwL+MGIfMH+JwViJwBi7RF1JU4MhPutj+3jD0UlSaGIoXZ/SO3+0El/TrfDmhz8DzEqoP8JgJykWwj6tndx6wBBHgAAAABOB30jAWwqPsn3CkcN+Q8K+bGTArGRAH0nBLr7nSxIPokQO1kQjsYmG/CHovKHgid964DNakk+AeC0xW8bsCdGBOT2u5XAk2XXuMqC2MSIp4nT55MAAAAAAFLCbrXIk2WXJ+vkI2MwHO07IdDv1oH+owEOdetA4gRCoO+kgSEpEjUSjxOUjm0iwf91TpF+c/Wok/4smYIgDwAAAAAYME67VU67UwUneetA1DDkD0X65hI47C0EyScBesJRff28s1LzYTIEQR4AAAAAkPGslt6J9+wqyU13NenFswQAAAAAADARgjwAAAAAACZCkAcAAAAAwEQI8gAAAAAAmAhBHgAAAAAAEyHIAwAAAABgIgR5AAAAAABMhCAPAAAAAICJEOQBAAAAADARgjwAAAAAACZCkAcAAAAAwEQI8gAAAAAAmAhBHgAAAAAAEyHIAwAAAABgIgR5AAAAAABMhCAPAAAAAICJEOQBAAAAADARgjwAAAAAACZiT3cBmcxiSXcFR9ZbX6bXicxGP0Iq0I+QCvQjnCz6EFKBfoRUOJF+dFzbGoZhHF9JAAAAAAAgXRhaDwAAAACAiRDkAQAAAAAwEYI8AAAAAAAmQpAHAAAAAMBECPIAAAAAAJgIQR4AAAAAABMhyAMAAAAAYCIEeQAAAAAATIQgDwAAAACAiRDkAQAAAAAwEYK8if3xj3/UV7/6VY0ePVpTp07Vhg0b0l0STOTxxx9XTU1N0tcVV1yR7rKQ4d577z398Ic/VGNjo2pqavTWW28lrTcMQ4sWLVJjY6Pq6up066236vPPP09PschIR+tDs2fPPujYNGPGjDRVi0z19NNP67rrrlNDQ4PGjx+vO+64Q9u2bUvaJhAIaN68eRo3bpwaGhp05513qqWlJU0VI9McSx+65ZZbDjoezZkzJ00VIxMtX75cV111lcaMGaMxY8boxhtv1D//+c/E+oE8DhHkTeq1117TggULNHPmTL300ksaOXKkZsyYodbW1nSXBhP5yle+on//+9+Jr+XLl6e7JGQ4n8+nmpoazZ0795Drf//73+uFF17Q/fffrxUrVsjtdmvGjBkKBAKnuFJkqqP1IUmaNGlS0rHp0UcfPYUVwgzWrl2rm266SStWrNBzzz2ncDisGTNmyOfzJbZ56KGH9I9//EOPPfaYXnjhBe3fv18/+tGP0lg1Msmx9CFJuuGGG5KOR/fdd1+aKkYmGjx4sO6991795S9/0Z///GddeOGFmjlzprZu3SppgI9DBkzp+uuvN+bNm5f4PhKJGI2NjcbTTz+dxqpgJosXLza++c1vprsMmFh1dbXx5ptvJr6PRqPGxIkTjWeffTbR5vV6jdraWmP16tXpKBEZ7st9yDAMY9asWcbtt9+epopgVq2trUZ1dbWxdu1awzBix55Ro0YZr7/+emKbTz/91KiurjbWrVuXpiqRyb7chwzDMG6++WbjwQcfTGNVMKMLLrjAWLFixYAfh7gib0LBYFCbNm3ShAkTEm1Wq1UTJkzQunXr0lgZzGbHjh1qbGzUpZdeqnvuuUd79+5Nd0kwsd27d6u5uTnp2OTxeFRfX8+xCcdl7dq1Gj9+vC6//HLNnTtXbW1t6S4JGa6zs1OSlJ+fL0nauHGjQqFQ0vFoxIgRKi8v14cffpiOEpHhvtyHeq1atUrjxo3TlClT9Mgjj8jv96ejPJhAJBLRq6++Kp/Pp4aGhgE/DtlP+h1wyrW1tSkSiaioqCipvaio6KB7e4DDqaur04IFC1RVVaXm5mYtWbJEN910k1atWqXc3Nx0lwcTam5ulqRDHpu4LxXHatKkSfra176moUOHateuXXr00Ud122236U9/+pNsNlu6y0MGikajeuihhzRmzBhVV1dLklpaWuRwOJSXl5e0bVFRUeJYBfQ6VB+SpClTpqi8vFylpaXasmWLfvvb32r79u164okn0lgtMs2WLVv0rW99S4FAQNnZ2VqyZInOOeccbd68eUCPQwR54Ax18cUXJ5ZHjhyp+vp6XXLJJXr99dc1derUNFYG4Ex25ZVXJpZ7J5eaPHly4io98GXz5s3T1q1bmecFJ+xwfejGG29MLNfU1KikpES33nqrdu7cqYqKilNdJjJUVVWVXn75ZXV2dupvf/ubZs2apRdffHHAfy5D602ooKBANpvtoIntWltbVVxcnKaqYHZ5eXk6++yztXPnznSXApMqKSmRJI5NSKlhw4apoKBAO3bsSHcpyEDz58/X22+/rWXLlmnw4MGJ9uLiYoVCIXm93qTtW1tbE8cqQDp8HzqU+vp6SeJ4hCROp1OVlZWqra3VPffco5EjR+r5558f8OMQQd6EnE6nRo0apTVr1iTaotGo1qxZo4aGhjRWBjPr7u7Wrl27+AMHJ2zo0KEqKSlJOjZ1dXVp/fr1HJtwwvbt26f29naOTUhiGIbmz5+vN998U8uWLdOwYcOS1tfW1srhcCQdj7Zt26a9e/fq/PPPP8XVIhMdrQ8dyubNmyWJ4xGOKBqNKhgMDvhxiKH1JjV9+nTNmjVLtbW1qqur07Jly+T3+3XttdemuzSYxMMPP6xLLrlE5eXl2r9/vx5//HFZrVZNmTIl3aUhg3V3dyeN2ti9e7c2b96s/Px8lZeXa9q0aXrqqadUWVmpoUOHatGiRSotLdXkyZPTWDUyyZH6UH5+vp544gldfvnlKi4u1q5du/Sb3/xGlZWVmjRpUhqrRqaZN2+eVq9erSeffFI5OTmJ+009Ho+ysrLk8Xh03XXXaeHChcrPz1dubq4efPBBNTQ0EOQh6eh9aOfOnVq1apUuvvhiDRo0SFu2bNGCBQt0wQUXaOTIkWmuHpnikUce0UUXXaSysjJ1d3dr9erVWrt2rZYuXTrgxyGLYRjGyX8EpMOLL76opUuXqrm5Weeee65+8YtfJIb8AEdz11136b333lN7e7sKCws1duxY3XXXXdzzhSN69913NW3atIPar7nmGi1cuFCGYWjx4sVasWKFvF6vxo4dq7lz56qqqioN1SITHakP3X///Zo5c6Y+/vhjdXZ2qrS0VBMnTtSPf/xjbs9AkpqamkO2L1iwIHFRIxAIaOHChXr11VcVDAbV2NiouXPncjUVko7eh5qamvTTn/5UW7dulc/nU1lZmSZPnqw77riDSYGR8LOf/UzvvPOO9u/fL4/Ho5qaGt12222aOHGipIE9DhHkAQAAAAAwEe6RBwAAAADARAjyAAAAAACYCEEeAAAAAAATIcgDAAAAAGAiBHkAAAAAAEyEIA8AAAAAgIkQ5AEAAAAAMBGCPAAAAAAAJkKQBwAAaVdTU6O33nor3WUAAGAK9nQXAAAA0mv27Nl66aWXDmpvbGzU0qVL01ARAAA4EoI8AADQpEmTtGDBgqQ2p9OZpmoAAMCRMLQeAADI6XSqpKQk6Ss/P19SbNj78uXL9b3vfU91dXW69NJL9cYbbyTtv2XLFk2bNk11dXUaN26cfvnLX6q7uztpm5UrV+rKK69UbW2tGhsbNX/+/KT1bW1tmjlzpurr63XZZZfp73//+8B+aAAATIogDwAAjmrRokW6/PLL9corr+iqq67S3Xffrc8++0yS5PP5NGPGDOXn52vlypV67LHH9J///EcPPPBAYv/ly5dr/vz5uuGGG7Rq1So9+eSTqqioSPoZTzzxhL7+9a/rr3/9qy666CLde++9am9vP5UfEwAAUyDIAwAAvf3222poaEj6+t3vfpdYf8UVV2jq1KmqqqrST37yE9XW1uqFF16QJK1evVrBYFAPP/ywqqurNX78eM2ZM0evvPKKWlpaJElPPfWUpk+fru9+97uqqqpSXV2dbr311qQarrnmGk2ZMkWVlZW6++675fP5tGHDhlP2bwAAgFlwjzwAANC4ceN0//33J7X1Dq2XpIaGhqR1559/vjZv3ixJ+uyzz1RTU6Ps7OzE+jFjxigajWr79u2yWCzav3+/xo8ff8QaampqEsvZ2dnKzc3VgQMHTvQjAQBw2iLIAwAAud1uVVZWDsh7u1yuY9rO4XAkfW+xWBSNRgeiJAAATI2h9QAA4Kg+/PDDpO/Xr1+vESNGSJJGjBihLVu2yOfzJdZ/8MEHslqtqqqqUm5uroYMGaI1a9acypIBADhtEeQBAICCwaCam5uTvvoPa3/jjTe0cuVKbd++XYsXL9aGDRt08803S5KuuuoqOZ1OzZ49W5988oneeecdPfDAA7r66qtVXFwsSbrzzjv13HPP6fnnn9fnn3+uTZs2Je6xBwAAx4eh9QAAQP/617/U2NiY1FZVVZV4zNydd96p1157TfPmzVNJSYkeeeQRnXPOOZJiw/KXLl2qX/3qV7r++uvldrt12WWXafbs2Yn3uuaaaxQIBPSHP/xBv/71rzVo0CBdccUVp+4DAgBwGrEYhmGkuwgAAJC5ampqtGTJEk2ePDndpQAAADG0HgAAAAAAUyHIAwAAAABgIgytBwAAAADARLgiDwAAAACAiRDkAQAAAAAwEYI8AAAAAAAmQpAHAAAAAMBECPIAAAAAAJgIQR4AAAAAABMhyAMAAAAAYCIEeQAAAAAATOT/A8u/ERcyi3nqAAAAAElFTkSuQmCC",
|
||
"text/plain": [
|
||
"<Figure size 1200x600 with 1 Axes>"
|
||
]
|
||
},
|
||
"metadata": {},
|
||
"output_type": "display_data"
|
||
},
|
||
{
|
||
"name": "stdout",
|
||
"output_type": "stream",
|
||
"text": [
|
||
"Test loss: 0.40349453687667847\n",
|
||
"Test accuracy: 0.863095223903656\n",
|
||
"Classification Report: \n",
|
||
" precision recall f1-score support\n",
|
||
"\n",
|
||
" 0 0.84 0.90 0.87 4192\n",
|
||
" 1 0.90 0.82 0.86 4208\n",
|
||
"\n",
|
||
" accuracy 0.86 8400\n",
|
||
" macro avg 0.87 0.86 0.86 8400\n",
|
||
"weighted avg 0.87 0.86 0.86 8400\n"
|
||
]
|
||
}
|
||
],
|
||
"source": [
|
||
"# Plot the training and validation accuracy over epochs\n",
|
||
"plt.plot(history.history['accuracy'], 'ro-', history.history['val_accuracy'], 'bv--')\n",
|
||
"plt.title('Training and Test Accuracy')\n",
|
||
"plt.xlabel('Epoch')\n",
|
||
"plt.ylabel('Accuracy')\n",
|
||
"plt.legend(['Training Accuracy', 'Test Accuracy'])\n",
|
||
"plt.show()\n",
|
||
"\n",
|
||
"# Plot the training and validation loss over epochs\n",
|
||
"plt.figure(figsize=(12, 6))\n",
|
||
"plt.plot(history.history['loss'], label='Training Loss')\n",
|
||
"plt.plot(history.history['val_loss'], label='Validation Loss')\n",
|
||
"plt.title('Training and Validation Loss Over Time')\n",
|
||
"plt.xlabel('Epoch')\n",
|
||
"plt.ylabel('Loss')\n",
|
||
"plt.legend()\n",
|
||
"plt.show()\n",
|
||
"\n",
|
||
"# Print the testing loss and accuracy\n",
|
||
"print('Test loss:', scores[0])\n",
|
||
"print('Test accuracy:', scores[1])\n",
|
||
"\n",
|
||
"# Print the classification report\n",
|
||
"print('Classification Report: \\n', report)\n"
|
||
]
|
||
},
|
||
{
|
||
"cell_type": "markdown",
|
||
"id": "dba8a77d06dc51f8",
|
||
"metadata": {
|
||
"collapsed": false
|
||
},
|
||
"source": [
|
||
"# Visualize Weights and Biases\n",
|
||
"\n",
|
||
"This code block visualizes the weights and biases of the model. For each Dense layer in the model, the weights and biases are extracted and plotted as histograms. The weights are plotted in the left subplot, and the biases are plotted in the right subplot. The x-axis represents the value of the weights or biases, and the y-axis represents the frequency of occurrence of each value. The histograms show the distribution of the weights and biases in each layer."
|
||
]
|
||
},
|
||
{
|
||
"cell_type": "code",
|
||
"execution_count": 131,
|
||
"id": "9739272beb4981b6",
|
||
"metadata": {
|
||
"ExecuteTime": {
|
||
"end_time": "2024-03-20T12:44:19.992940Z",
|
||
"start_time": "2024-03-20T12:44:19.381949Z"
|
||
},
|
||
"collapsed": false
|
||
},
|
||
"outputs": [
|
||
{
|
||
"data": {
|
||
"image/png": 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",
|
||
"text/plain": [
|
||
"<Figure size 1000x500 with 2 Axes>"
|
||
]
|
||
},
|
||
"metadata": {},
|
||
"output_type": "display_data"
|
||
},
|
||
{
|
||
"data": {
|
||
"image/png": 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",
|
||
"text/plain": [
|
||
"<Figure size 1000x500 with 2 Axes>"
|
||
]
|
||
},
|
||
"metadata": {},
|
||
"output_type": "display_data"
|
||
}
|
||
],
|
||
"source": [
|
||
"# Visualize Weights and Biases\n",
|
||
"for layer in model.layers:\n",
|
||
" if 'dense' in layer.name:\n",
|
||
" weights, biases = layer.get_weights()\n",
|
||
" plt.figure(figsize=(10, 5))\n",
|
||
" plt.subplot(1, 2, 1)\n",
|
||
" plt.hist(weights.flatten())\n",
|
||
" plt.title(f'{layer.name} weights')\n",
|
||
" plt.subplot(1, 2, 2)\n",
|
||
" plt.hist(biases.flatten())\n",
|
||
" plt.title(f'{layer.name} biases')\n",
|
||
" plt.show()\n"
|
||
]
|
||
},
|
||
{
|
||
"cell_type": "markdown",
|
||
"id": "7f3da1aa73d186e1",
|
||
"metadata": {
|
||
"collapsed": false
|
||
},
|
||
"source": [
|
||
"\n",
|
||
"# Confusion Matrix\n",
|
||
"\n",
|
||
"This code block plots the confusion matrix for the model's predictions on the testing set. The confusion matrix is a table that is often used to describe the performance of a classification model on a set of test data for which the true values are known. The confusion matrix shows the number of true positive, true negative, false positive, and false negative predictions made by the model."
|
||
]
|
||
},
|
||
{
|
||
"cell_type": "code",
|
||
"execution_count": 132,
|
||
"id": "92964bc26d5c26cc",
|
||
"metadata": {
|
||
"ExecuteTime": {
|
||
"end_time": "2024-03-20T12:44:20.152983Z",
|
||
"start_time": "2024-03-20T12:44:19.994211Z"
|
||
},
|
||
"collapsed": false
|
||
},
|
||
"outputs": [
|
||
{
|
||
"data": {
|
||
"image/png": 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",
|
||
"text/plain": [
|
||
"<Figure size 500x500 with 2 Axes>"
|
||
]
|
||
},
|
||
"metadata": {},
|
||
"output_type": "display_data"
|
||
}
|
||
],
|
||
"source": [
|
||
"# Confusion Matrix\n",
|
||
"cm = confusion_matrix(y_test, y_pred_classes)\n",
|
||
"plt.figure(figsize=(5, 5))\n",
|
||
"sns.heatmap(cm, annot=True, fmt='d', cmap='Blues')\n",
|
||
"plt.title('Confusion matrix')\n",
|
||
"plt.xlabel('Predicted class')\n",
|
||
"plt.ylabel('True class')\n",
|
||
"plt.show()"
|
||
]
|
||
},
|
||
{
|
||
"cell_type": "markdown",
|
||
"id": "2d90420f6a5cc744",
|
||
"metadata": {
|
||
"collapsed": false
|
||
},
|
||
"source": [
|
||
"\n",
|
||
"# ROC Curve\n",
|
||
"\n",
|
||
"This code block plots the Receiver Operating Characteristic (ROC) curve for the model's predictions on the testing set. The ROC curve is a graphical plot that illustrates the diagnostic ability of a binary classifier system as its discrimination threshold is varied. The curve is created by plotting the true positive rate (TPR) against the false positive rate (FPR) at various threshold settings. The area under the ROC curve (AUC) is also calculated and printed."
|
||
]
|
||
},
|
||
{
|
||
"cell_type": "code",
|
||
"execution_count": 133,
|
||
"id": "dd49203934ca9cf6",
|
||
"metadata": {
|
||
"ExecuteTime": {
|
||
"end_time": "2024-03-20T12:44:20.328279Z",
|
||
"start_time": "2024-03-20T12:44:20.154242Z"
|
||
},
|
||
"collapsed": false
|
||
},
|
||
"outputs": [
|
||
{
|
||
"data": {
|
||
"image/png": 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",
|
||
"text/plain": [
|
||
"<Figure size 640x480 with 1 Axes>"
|
||
]
|
||
},
|
||
"metadata": {},
|
||
"output_type": "display_data"
|
||
}
|
||
],
|
||
"source": [
|
||
"# ROC Curve\n",
|
||
"fpr, tpr, _ = roc_curve(y_test, y_pred)\n",
|
||
"roc_auc = auc(fpr, tpr)\n",
|
||
"plt.figure()\n",
|
||
"lw = 2\n",
|
||
"plt.plot(fpr, tpr, color='darkorange', lw=lw, label='ROC curve (area = %0.2f)' % roc_auc)\n",
|
||
"plt.plot([0, 1], [0, 1], color='navy', lw=lw, linestyle='--')\n",
|
||
"plt.xlim([0.0, 1.0])\n",
|
||
"plt.ylim([0.0, 1.05])\n",
|
||
"plt.xlabel('False Positive Rate')\n",
|
||
"plt.ylabel('True Positive Rate')\n",
|
||
"plt.title('Receiver Operating Characteristic')\n",
|
||
"plt.legend(loc=\"lower right\")\n",
|
||
"plt.show()"
|
||
]
|
||
},
|
||
{
|
||
"cell_type": "markdown",
|
||
"id": "427d26655cf59f4d",
|
||
"metadata": {
|
||
"collapsed": false
|
||
},
|
||
"source": [
|
||
"# Plot the model\n",
|
||
"\n",
|
||
"This code block plots the model architecture using the `plot_model` function from Keras. The plot shows the structure of the model, including the input and output shapes, the layers, and the connections between layers."
|
||
]
|
||
},
|
||
{
|
||
"cell_type": "code",
|
||
"execution_count": 134,
|
||
"id": "81f2d793ada5c410",
|
||
"metadata": {
|
||
"ExecuteTime": {
|
||
"end_time": "2024-03-20T12:44:20.448825Z",
|
||
"start_time": "2024-03-20T12:44:20.329360Z"
|
||
},
|
||
"collapsed": false
|
||
},
|
||
"outputs": [
|
||
{
|
||
"data": {
|
||
"image/png": 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",
|
||
"text/plain": [
|
||
"<IPython.core.display.Image object>"
|
||
]
|
||
},
|
||
"execution_count": 134,
|
||
"metadata": {},
|
||
"output_type": "execute_result"
|
||
}
|
||
],
|
||
"source": [
|
||
"# Plot the model\n",
|
||
"from tensorflow.keras.utils import plot_model\n",
|
||
"\n",
|
||
"# Generate the plot\n",
|
||
"plot_model(model, to_file='model_plot.png', show_shapes=True, show_layer_names=True)\n"
|
||
]
|
||
},
|
||
{
|
||
"cell_type": "markdown",
|
||
"id": "225526f72ffc154c",
|
||
"metadata": {
|
||
"collapsed": false
|
||
},
|
||
"source": [
|
||
"# Save the model"
|
||
]
|
||
},
|
||
{
|
||
"cell_type": "code",
|
||
"execution_count": 135,
|
||
"id": "6b7329b28452b82a",
|
||
"metadata": {
|
||
"ExecuteTime": {
|
||
"end_time": "2024-03-20T12:44:20.516718Z",
|
||
"start_time": "2024-03-20T12:44:20.451223Z"
|
||
},
|
||
"collapsed": false
|
||
},
|
||
"outputs": [],
|
||
"source": [
|
||
"# Save the model\n",
|
||
"model.save('CNN.keras')"
|
||
]
|
||
},
|
||
{
|
||
"cell_type": "markdown",
|
||
"id": "42eff9445377f73c",
|
||
"metadata": {
|
||
"collapsed": false
|
||
},
|
||
"source": [
|
||
"# Multi-Layer Perceptron (MLP)\n",
|
||
"\n",
|
||
"This code block is implementing a Multi-Layer Perceptron (MLP) for a binary classification task using TensorFlow. The MLP is a class of feedforward artificial neural network that consists of at least three layers of nodes: an input layer, a hidden layer, and an output layer. Except for the input nodes, each node is a neuron that uses a nonlinear activation function. MLP utilizes a supervised learning technique called backpropagation for training.\n",
|
||
"\n",
|
||
"Here's a step-by-step breakdown of what the code does:\n",
|
||
"\n",
|
||
"1. **Model Creation**: A Sequential model is created using Keras. This model is composed of the following layers:\n",
|
||
" - Dense layers: These are fully connected layers. The first Dense layer has 64 units and uses the ReLU activation function. The second and third Dense layers have 32 and 16 units respectively, and also use the ReLU activation function. The final Dense layer has 1 unit and uses the sigmoid activation function for binary classification.\n",
|
||
" - BatchNormalization layers: These layers are used to normalize the activations of the previous layer, which speeds up learning and provides some regularization, reducing generalization error.\n",
|
||
" - Dropout layers: These layers are used to prevent overfitting. They randomly set a fraction of input units to 0 at each update during training time.\n",
|
||
"\n",
|
||
"2. **Model Compilation**: The model is compiled with the Adam optimizer, binary cross-entropy loss function, and accuracy as the evaluation metric.\n",
|
||
"\n",
|
||
"3. **Model Training**: The model is trained on the training data for 20 epochs with a batch size of 32. The validation data is set to the testing set. Early stopping is used to stop training when the validation loss has not improved for 10 epochs.\n",
|
||
"\n",
|
||
"4. **Model Evaluation**: The model's performance is evaluated on the testing data and the loss and accuracy are printed. The model also makes predictions on the testing data, converts the predicted probabilities to binary outputs, and generates a classification report.\n",
|
||
"\n",
|
||
"5. **Visualization**: The training and validation accuracy and loss over epochs are plotted.\n",
|
||
"\n",
|
||
"The mathematical concept behind the Dense layer is the dot product operation, which is a mathematical operation that takes two equal-length sequences of numbers and returns a single number. In the context of a MLP, the two sequences are the input data and the weights of the neurons. The dot product operation involves multiplying each pair of input and weight and summing the result.\n",
|
||
"\n",
|
||
"The mathematical formula for the dot product operation is: $$ a \\cdot b = \\sum_{i=1}^{n} a_i b_i $$ Where:\n",
|
||
"- $a$ and $b$ are the input data and weights respectively\n",
|
||
"- $n$ is the number of dimensions (length of the sequences)\n",
|
||
"- $a_i$ and $b_i$ are the $i$-th elements of the input data and weights respectively."
|
||
]
|
||
},
|
||
{
|
||
"cell_type": "code",
|
||
"execution_count": 15,
|
||
"id": "c8745832a585d5ec",
|
||
"metadata": {
|
||
"ExecuteTime": {
|
||
"end_time": "2024-03-21T12:08:46.922522Z",
|
||
"start_time": "2024-03-21T12:08:16.554423Z"
|
||
},
|
||
"collapsed": false
|
||
},
|
||
"outputs": [
|
||
{
|
||
"name": "stdout",
|
||
"output_type": "stream",
|
||
"text": [
|
||
"Epoch 1/20\n",
|
||
"1050/1050 [==============================] - 3s 1ms/step - loss: 1.0799 - accuracy: 0.5144 - val_loss: 0.8551 - val_accuracy: 0.5844\n",
|
||
"Epoch 2/20\n",
|
||
"1050/1050 [==============================] - 1s 1ms/step - loss: 0.9646 - accuracy: 0.5434 - val_loss: 0.8099 - val_accuracy: 0.6630\n",
|
||
"Epoch 3/20\n",
|
||
"1050/1050 [==============================] - 1s 1ms/step - loss: 0.8904 - accuracy: 0.5891 - val_loss: 0.7648 - val_accuracy: 0.7145\n",
|
||
"Epoch 4/20\n",
|
||
"1050/1050 [==============================] - 1s 1ms/step - loss: 0.8270 - accuracy: 0.6339 - val_loss: 0.7140 - val_accuracy: 0.7608\n",
|
||
"Epoch 5/20\n",
|
||
"1050/1050 [==============================] - 1s 1ms/step - loss: 0.7637 - accuracy: 0.6911 - val_loss: 0.6635 - val_accuracy: 0.7911\n",
|
||
"Epoch 6/20\n",
|
||
"1050/1050 [==============================] - 1s 1ms/step - loss: 0.7141 - accuracy: 0.7305 - val_loss: 0.6225 - val_accuracy: 0.8102\n",
|
||
"Epoch 7/20\n",
|
||
"1050/1050 [==============================] - 1s 1ms/step - loss: 0.6718 - accuracy: 0.7602 - val_loss: 0.5870 - val_accuracy: 0.8201\n",
|
||
"Epoch 8/20\n",
|
||
"1050/1050 [==============================] - 1s 1ms/step - loss: 0.6386 - accuracy: 0.7813 - val_loss: 0.5622 - val_accuracy: 0.8275\n",
|
||
"Epoch 9/20\n",
|
||
"1050/1050 [==============================] - 1s 1ms/step - loss: 0.6117 - accuracy: 0.7930 - val_loss: 0.5436 - val_accuracy: 0.8290\n",
|
||
"Epoch 10/20\n",
|
||
"1050/1050 [==============================] - 1s 1ms/step - loss: 0.5868 - accuracy: 0.8076 - val_loss: 0.5300 - val_accuracy: 0.8301\n",
|
||
"Epoch 11/20\n",
|
||
"1050/1050 [==============================] - 1s 1ms/step - loss: 0.5731 - accuracy: 0.8127 - val_loss: 0.5162 - val_accuracy: 0.8329\n",
|
||
"Epoch 12/20\n",
|
||
"1050/1050 [==============================] - 1s 1ms/step - loss: 0.5565 - accuracy: 0.8180 - val_loss: 0.5040 - val_accuracy: 0.8365\n",
|
||
"Epoch 13/20\n",
|
||
"1050/1050 [==============================] - 1s 1ms/step - loss: 0.5428 - accuracy: 0.8225 - val_loss: 0.4976 - val_accuracy: 0.8361\n",
|
||
"Epoch 14/20\n",
|
||
"1050/1050 [==============================] - 1s 1ms/step - loss: 0.5264 - accuracy: 0.8289 - val_loss: 0.4871 - val_accuracy: 0.8383\n",
|
||
"Epoch 15/20\n",
|
||
"1050/1050 [==============================] - 1s 1ms/step - loss: 0.5191 - accuracy: 0.8292 - val_loss: 0.4794 - val_accuracy: 0.8385\n",
|
||
"Epoch 16/20\n",
|
||
"1050/1050 [==============================] - 1s 1ms/step - loss: 0.5026 - accuracy: 0.8335 - val_loss: 0.4738 - val_accuracy: 0.8400\n",
|
||
"Epoch 17/20\n",
|
||
"1050/1050 [==============================] - 1s 1ms/step - loss: 0.4927 - accuracy: 0.8378 - val_loss: 0.4668 - val_accuracy: 0.8387\n",
|
||
"Epoch 18/20\n",
|
||
"1050/1050 [==============================] - 1s 1ms/step - loss: 0.4887 - accuracy: 0.8372 - val_loss: 0.4616 - val_accuracy: 0.8410\n",
|
||
"Epoch 19/20\n",
|
||
"1050/1050 [==============================] - 1s 1ms/step - loss: 0.4771 - accuracy: 0.8408 - val_loss: 0.4589 - val_accuracy: 0.8396\n",
|
||
"Epoch 20/20\n",
|
||
"1050/1050 [==============================] - 1s 1ms/step - loss: 0.4713 - accuracy: 0.8430 - val_loss: 0.4511 - val_accuracy: 0.8417\n",
|
||
"263/263 [==============================] - 0s 531us/step\n"
|
||
]
|
||
},
|
||
{
|
||
"data": {
|
||
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",
|
||
"text/plain": [
|
||
"<Figure size 1200x600 with 1 Axes>"
|
||
]
|
||
},
|
||
"metadata": {},
|
||
"output_type": "display_data"
|
||
},
|
||
{
|
||
"data": {
|
||
"image/png": 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",
|
||
"text/plain": [
|
||
"<Figure size 1200x600 with 1 Axes>"
|
||
]
|
||
},
|
||
"metadata": {},
|
||
"output_type": "display_data"
|
||
},
|
||
{
|
||
"data": {
|
||
"image/png": 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",
|
||
"text/plain": [
|
||
"<Figure size 1200x600 with 1 Axes>"
|
||
]
|
||
},
|
||
"metadata": {},
|
||
"output_type": "display_data"
|
||
},
|
||
{
|
||
"data": {
|
||
"text/plain": [
|
||
"<Figure size 640x480 with 0 Axes>"
|
||
]
|
||
},
|
||
"metadata": {},
|
||
"output_type": "display_data"
|
||
},
|
||
{
|
||
"name": "stdout",
|
||
"output_type": "stream",
|
||
"text": [
|
||
"Test loss: 0.4510885179042816\n",
|
||
"Test accuracy: 0.8416666388511658\n",
|
||
"Classification Report: \n",
|
||
" precision recall f1-score support\n",
|
||
"\n",
|
||
" 0 0.80 0.90 0.85 4192\n",
|
||
" 1 0.89 0.78 0.83 4208\n",
|
||
"\n",
|
||
" accuracy 0.84 8400\n",
|
||
" macro avg 0.85 0.84 0.84 8400\n",
|
||
"weighted avg 0.85 0.84 0.84 8400\n"
|
||
]
|
||
}
|
||
],
|
||
"source": [
|
||
"# Initialize a Sequential model\n",
|
||
"model = Sequential()\n",
|
||
"# Add a Dense layer with 64 units, ReLU activation function and L2 regularization\n",
|
||
"model.add(Dense(64, input_dim=X_train.shape[1], activation='relu', kernel_regularizer=regularizers.l2(0.001)))\n",
|
||
"# Add a BatchNormalization layer to normalize the activations of the previous layer\n",
|
||
"model.add(BatchNormalization())\n",
|
||
"# Add a Dropout layer to prevent overfitting\n",
|
||
"model.add(Dropout(0.5))\n",
|
||
"# Add another Dense layer with 32 units, ReLU activation function and L2 regularization\n",
|
||
"model.add(Dense(32, activation='relu', kernel_regularizer=regularizers.l2(0.001)))\n",
|
||
"# Add another BatchNormalization layer\n",
|
||
"model.add(BatchNormalization())\n",
|
||
"# Add another Dropout layer\n",
|
||
"model.add(Dropout(0.5))\n",
|
||
"# Add another Dense layer with 16 units, ReLU activation function and L2 regularization\n",
|
||
"model.add(Dense(16, activation='relu', kernel_regularizer=regularizers.l2(0.001)))\n",
|
||
"# Add another BatchNormalization layer\n",
|
||
"model.add(BatchNormalization())\n",
|
||
"# Add another Dropout layer\n",
|
||
"model.add(Dropout(0.5))\n",
|
||
"# Add the output Dense layer with 1 unit and sigmoid activation function\n",
|
||
"model.add(Dense(1, activation='sigmoid'))\n",
|
||
"\n",
|
||
"# Define early stopping to stop training when the validation loss has not improved for 10 epochs\n",
|
||
"early_stopping = EarlyStopping(monitor='val_loss', patience=10)\n",
|
||
"\n",
|
||
"# Compile the model with Adam optimizer, binary cross-entropy loss function and accuracy as the evaluation metric\n",
|
||
"model.compile(loss='binary_crossentropy', optimizer=Adam(learning_rate=0.0001), metrics=['accuracy'])\n",
|
||
"\n",
|
||
"# Train the model on the training data for 20 epochs with a batch size of 32 and validate on the testing data\n",
|
||
"history = model.fit(X_train, y_train, epochs=20, batch_size=32, validation_data=(X_test, y_test),\n",
|
||
" callbacks=[early_stopping])\n",
|
||
"\n",
|
||
"# Evaluate the model on the testing data and store the loss and accuracy in 'scores'\n",
|
||
"scores = model.evaluate(X_test, y_test, verbose=0)\n",
|
||
"\n",
|
||
"# Make predictions on the testing data\n",
|
||
"y_pred = model.predict(X_test)\n",
|
||
"# Convert the predicted probabilities to binary outputs\n",
|
||
"y_pred_classes = (y_pred > 0.5).astype(\"int32\")\n",
|
||
"# Generate a classification report\n",
|
||
"report = classification_report(y_test, y_pred_classes)\n",
|
||
"\n",
|
||
"fig, ax = plt.subplots(figsize=(12, 6))\n",
|
||
"\n",
|
||
"# Plot training & validation accuracy values\n",
|
||
"ax.plot(history.history['accuracy'], 'ro-', label='Training Accuracy')\n",
|
||
"ax.plot(history.history['val_accuracy'], 'bv--', label='Test Accuracy')\n",
|
||
"\n",
|
||
"# Plot training & validation loss values\n",
|
||
"ax.plot(history.history['loss'], 'go-', label='Training Loss')\n",
|
||
"ax.plot(history.history['val_loss'], 'yv--', label='Validation Loss')\n",
|
||
"\n",
|
||
"ax.set_title('Learning Curve')\n",
|
||
"ax.set_ylabel('Values')\n",
|
||
"ax.set_xlabel('Epoch')\n",
|
||
"ax.legend()\n",
|
||
"\n",
|
||
"# Show the figure\n",
|
||
"plt.tight_layout()\n",
|
||
"plt.show()\n",
|
||
"\n",
|
||
"# Create a figure for the accuracy plot\n",
|
||
"fig1, ax1 = plt.subplots(figsize=(12, 6))\n",
|
||
"\n",
|
||
"# Plot training & validation accuracy values\n",
|
||
"ax1.plot(history.history['accuracy'], 'ro-', label='Training Accuracy')\n",
|
||
"ax1.plot(history.history['val_accuracy'], 'bv--', label='Test Accuracy')\n",
|
||
"ax1.set_title('Model Accuracy')\n",
|
||
"ax1.set_ylabel('Accuracy')\n",
|
||
"ax1.set_xlabel('Epoch')\n",
|
||
"ax1.legend()\n",
|
||
"\n",
|
||
"# Show the figure\n",
|
||
"plt.tight_layout()\n",
|
||
"plt.show()\n",
|
||
"\n",
|
||
"# Create a figure for the loss plot\n",
|
||
"fig2, ax2 = plt.subplots(figsize=(12, 6))\n",
|
||
"\n",
|
||
"# Plot training & validation loss values\n",
|
||
"ax2.plot(history.history['loss'], 'ro-', label='Training Loss')\n",
|
||
"ax2.plot(history.history['val_loss'], 'bv--', label='Validation Loss')\n",
|
||
"ax2.set_title('Model Loss')\n",
|
||
"ax2.set_ylabel('Loss')\n",
|
||
"ax2.set_xlabel('Epoch')\n",
|
||
"ax2.legend()\n",
|
||
"\n",
|
||
"# Show the figure\n",
|
||
"plt.tight_layout()\n",
|
||
"plt.show()\n",
|
||
"\n",
|
||
"# Show the figure\n",
|
||
"plt.tight_layout()\n",
|
||
"plt.show()\n",
|
||
"\n",
|
||
"# Print the testing loss and accuracy\n",
|
||
"print('Test loss:', scores[0])\n",
|
||
"print('Test accuracy:', scores[1])\n",
|
||
"# Print the classification report\n",
|
||
"print('Classification Report: \\n', report)"
|
||
]
|
||
},
|
||
{
|
||
"cell_type": "markdown",
|
||
"id": "4114f5c851874555",
|
||
"metadata": {
|
||
"collapsed": false
|
||
},
|
||
"source": [
|
||
"# Multi-Layer Perceptron (MLP) visualization\n",
|
||
"This code block is used to visualize the performance of a trained Multi-Layer Perceptron (MLP) model. It generates three types of visualizations:\n",
|
||
"\n",
|
||
"1. Weights and Biases Visualization: This visualization is used to understand the distribution of weights and biases in the model's layers. For each layer in the model, if the layer is a dense layer, it retrieves the weights and biases, and plots histograms of their values. The x-axis of the histogram represents the value of the weights/biases and the y-axis represents the frequency of these values.\n",
|
||
"\n",
|
||
"2. Confusion Matrix: A confusion matrix is a table that is often used to describe the performance of a classification model on a set of test data for which the true values are known. It gives a more detailed breakdown of correct and incorrect classifications for each class.\n",
|
||
"\n",
|
||
"3. ROC Curve: The Receiver Operating Characteristic (ROC) curve is a plot that illustrates the diagnostic ability of a binary classifier system as its discrimination threshold is varied. It is created by plotting the true positive rate (TPR) against the false positive rate (FPR).\n",
|
||
"\n",
|
||
"## Weights and Biases Evaluation\n",
|
||
"\n",
|
||
"The weights and biases of the MLP model layers were visualized to understand their distributions. The weights in all layers (dense_20, dense_21, dense_22, and dense_23) are not close to zero, indicating they are likely being updated during training and contributing to the model's learning. The weight distributions show a spread around zero, suggesting the model is capturing complex relationships in the data.\n",
|
||
"\n",
|
||
"The biases in dense_20 and dense_22 introduce a slight positive bias to the activations in subsequent layers, potentially affecting the model's predictions. The biases in dense_21 and dense_23 are centered around zero, with a slight spread towards positive values, introducing a small positive shift in the activations of the next layer.\n",
|
||
"\n",
|
||
"The impact of these biases would depend on the network architecture and data. Overall, the model's weights and biases suggest that it is learning effectively from the training data."
|
||
]
|
||
},
|
||
{
|
||
"cell_type": "code",
|
||
"execution_count": 137,
|
||
"id": "41091791008ff727",
|
||
"metadata": {
|
||
"ExecuteTime": {
|
||
"end_time": "2024-03-20T12:45:13.997738Z",
|
||
"start_time": "2024-03-20T12:45:12.759536Z"
|
||
},
|
||
"collapsed": false
|
||
},
|
||
"outputs": [
|
||
{
|
||
"data": {
|
||
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",
|
||
"text/plain": [
|
||
"<Figure size 1000x500 with 2 Axes>"
|
||
]
|
||
},
|
||
"metadata": {},
|
||
"output_type": "display_data"
|
||
},
|
||
{
|
||
"data": {
|
||
"image/png": 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",
|
||
"text/plain": [
|
||
"<Figure size 1000x500 with 2 Axes>"
|
||
]
|
||
},
|
||
"metadata": {},
|
||
"output_type": "display_data"
|
||
},
|
||
{
|
||
"data": {
|
||
"image/png": 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",
|
||
"text/plain": [
|
||
"<Figure size 1000x500 with 2 Axes>"
|
||
]
|
||
},
|
||
"metadata": {},
|
||
"output_type": "display_data"
|
||
},
|
||
{
|
||
"data": {
|
||
"image/png": 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",
|
||
"text/plain": [
|
||
"<Figure size 1000x500 with 2 Axes>"
|
||
]
|
||
},
|
||
"metadata": {},
|
||
"output_type": "display_data"
|
||
}
|
||
],
|
||
"source": [
|
||
"# 1. Visualize Weights and Biases\n",
|
||
"for layer in model.layers:\n",
|
||
" if 'dense' in layer.name:\n",
|
||
" weights, biases = layer.get_weights()\n",
|
||
" plt.figure(figsize=(10, 5))\n",
|
||
" plt.subplot(1, 2, 1)\n",
|
||
" plt.hist(weights.flatten())\n",
|
||
" plt.title(f'{layer.name} weights')\n",
|
||
" plt.subplot(1, 2, 2)\n",
|
||
" plt.hist(biases.flatten())\n",
|
||
" plt.title(f'{layer.name} biases')\n",
|
||
" plt.show()"
|
||
]
|
||
},
|
||
{
|
||
"cell_type": "markdown",
|
||
"id": "618bc6deb5ea296b",
|
||
"metadata": {
|
||
"collapsed": false
|
||
},
|
||
"source": [
|
||
"## Confusion Matrix Evaluation\n",
|
||
"\n",
|
||
"The confusion matrix is a table that is often used to describe the performance of a classification model on a set of test data for which the true values are known. It gives a more detailed breakdown of correct and incorrect classifications for each class.\n",
|
||
"\n",
|
||
"The confusion matrix shows that the model has a good performance in distinguishing between positive and negative instances. The majority of the instances are correctly classified, with a small number of false positives and false negatives."
|
||
]
|
||
},
|
||
{
|
||
"cell_type": "code",
|
||
"execution_count": 16,
|
||
"id": "6b7d586ea49a858a",
|
||
"metadata": {
|
||
"ExecuteTime": {
|
||
"end_time": "2024-03-21T12:10:13.555575Z",
|
||
"start_time": "2024-03-21T12:10:13.467732Z"
|
||
},
|
||
"collapsed": false
|
||
},
|
||
"outputs": [
|
||
{
|
||
"data": {
|
||
"image/png": 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",
|
||
"text/plain": [
|
||
"<Figure size 500x500 with 2 Axes>"
|
||
]
|
||
},
|
||
"metadata": {},
|
||
"output_type": "display_data"
|
||
}
|
||
],
|
||
"source": [
|
||
"# 2. Confusion Matrix\n",
|
||
"# Convert the predicted probabilities to binary outputs\n",
|
||
"y_pred_classes = (y_pred > 0.5).astype(\"int32\")\n",
|
||
"# Generate the confusion matrix\n",
|
||
"cm = confusion_matrix(y_test, y_pred_classes)\n",
|
||
"# Plot the confusion matrix\n",
|
||
"plt.figure(figsize=(5, 5))\n",
|
||
"sns.heatmap(cm, annot=True, fmt='d', cmap='Blues')\n",
|
||
"plt.title('Confusion matrix')\n",
|
||
"plt.xlabel('Predicted class')\n",
|
||
"plt.ylabel('True class')\n",
|
||
"plt.show()"
|
||
]
|
||
},
|
||
{
|
||
"cell_type": "markdown",
|
||
"id": "8645f7e159d38f0a",
|
||
"metadata": {
|
||
"collapsed": false
|
||
},
|
||
"source": [
|
||
"## ROC Curve Evaluation\n",
|
||
"\n",
|
||
"The Receiver Operating Characteristic (ROC) curve is a graphical representation that illustrates the performance of a binary classification model at all classification thresholds. It is commonly used in machine learning to evaluate the performance of a classifier system for two-class problems.\n",
|
||
"\n",
|
||
"The ROC curve has two axes:\n",
|
||
"- The X-axis represents the False Positive Rate (FPR), which is the proportion of negative instances that are incorrectly classified as positive.\n",
|
||
"- The Y-axis represents the True Positive Rate (TPR), which is the proportion of positive instances that are correctly classified as positive.\n",
|
||
"\n",
|
||
"A perfect classifier would classify all positive instances correctly (TPR = 1) and all negative instances correctly (FPR = 0). This would be represented by a curve that goes straight up the left side of the ROC graph and then along the top to the right corner.\n",
|
||
"\n",
|
||
"The Area Under the Curve (AUC) is a numerical measure of the ROC curve’s performance. A larger AUC indicates a better performance. In our case, the AUC is 0.91, which is considered to be very good.\n",
|
||
"\n",
|
||
"In summary, the ROC curve shows that our binary classification model has a good performance in distinguishing between positive and negative instances."
|
||
]
|
||
},
|
||
{
|
||
"cell_type": "code",
|
||
"execution_count": 18,
|
||
"id": "4d080bef0cf9bec4",
|
||
"metadata": {
|
||
"ExecuteTime": {
|
||
"end_time": "2024-03-21T12:12:01.664077Z",
|
||
"start_time": "2024-03-21T12:12:01.557243Z"
|
||
},
|
||
"collapsed": false
|
||
},
|
||
"outputs": [
|
||
{
|
||
"data": {
|
||
"image/png": 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",
|
||
"text/plain": [
|
||
"<Figure size 640x480 with 1 Axes>"
|
||
]
|
||
},
|
||
"metadata": {},
|
||
"output_type": "display_data"
|
||
}
|
||
],
|
||
"source": [
|
||
"# 3. ROC Curve\n",
|
||
"# Compute ROC curve and ROC area for each class\n",
|
||
"fpr, tpr, _ = roc_curve(y_test, y_pred)\n",
|
||
"roc_auc = auc(fpr, tpr)\n",
|
||
"# Plot the ROC curve\n",
|
||
"plt.figure()\n",
|
||
"lw = 2\n",
|
||
"plt.plot(fpr, tpr, color='darkorange', lw=lw, label='ROC curve (area = %0.2f)' % roc_auc)\n",
|
||
"plt.plot([0, 1], [0, 1], color='navy', lw=lw, linestyle='--')\n",
|
||
"plt.xlim([0.0, 1.0])\n",
|
||
"plt.ylim([0.0, 1.05])\n",
|
||
"plt.xlabel('False Positive Rate')\n",
|
||
"plt.ylabel('True Positive Rate')\n",
|
||
"plt.title('Receiver Operating Characteristic')\n",
|
||
"plt.legend(loc=\"lower right\")\n",
|
||
"plt.show()"
|
||
]
|
||
},
|
||
{
|
||
"cell_type": "markdown",
|
||
"id": "5d1867cb3af9788d",
|
||
"metadata": {
|
||
"collapsed": false
|
||
},
|
||
"source": [
|
||
"## Learning curve"
|
||
]
|
||
},
|
||
{
|
||
"cell_type": "code",
|
||
"execution_count": 140,
|
||
"id": "c67bb53e5a864293",
|
||
"metadata": {
|
||
"ExecuteTime": {
|
||
"end_time": "2024-03-20T12:45:14.573591Z",
|
||
"start_time": "2024-03-20T12:45:14.347420Z"
|
||
},
|
||
"collapsed": false
|
||
},
|
||
"outputs": [
|
||
{
|
||
"data": {
|
||
"image/png": 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",
|
||
"text/plain": [
|
||
"<Figure size 1000x600 with 1 Axes>"
|
||
]
|
||
},
|
||
"metadata": {},
|
||
"output_type": "display_data"
|
||
}
|
||
],
|
||
"source": [
|
||
"def plot_learning_curve(history):\n",
|
||
" plt.figure(figsize=(10, 6))\n",
|
||
" plt.plot(history.history['loss'], label='Training Loss')\n",
|
||
" plt.plot(history.history['val_loss'], label='Validation Loss')\n",
|
||
" plt.plot(history.history['accuracy'], label='Training Accuracy')\n",
|
||
" plt.plot(history.history['val_accuracy'], label='Validation Accuracy')\n",
|
||
" plt.xlabel('Epoch')\n",
|
||
" plt.ylabel('Loss / Accuracy')\n",
|
||
" plt.title('Learning Curve')\n",
|
||
" plt.legend()\n",
|
||
" plt.show()\n",
|
||
"\n",
|
||
"\n",
|
||
"plot_learning_curve(history)\n"
|
||
]
|
||
}
|
||
],
|
||
"metadata": {
|
||
"kernelspec": {
|
||
"display_name": "Python 3",
|
||
"language": "python",
|
||
"name": "python3"
|
||
},
|
||
"language_info": {
|
||
"codemirror_mode": {
|
||
"name": "ipython",
|
||
"version": 2
|
||
},
|
||
"file_extension": ".py",
|
||
"mimetype": "text/x-python",
|
||
"name": "python",
|
||
"nbconvert_exporter": "python",
|
||
"pygments_lexer": "ipython2",
|
||
"version": "2.7.6"
|
||
}
|
||
},
|
||
"nbformat": 4,
|
||
"nbformat_minor": 5
|
||
}
|