2148 lines
2.3 MiB
2148 lines
2.3 MiB
{
|
||
"cells": [
|
||
{
|
||
"cell_type": "markdown",
|
||
"id": "f3c2c7fc8009f6bc",
|
||
"metadata": {
|
||
"collapsed": false
|
||
},
|
||
"source": [
|
||
"# CSC 3105 Project"
|
||
]
|
||
},
|
||
{
|
||
"cell_type": "markdown",
|
||
"id": "73fe8802e95a784f",
|
||
"metadata": {
|
||
"collapsed": false
|
||
},
|
||
"source": [
|
||
"# Data Preprocessing and Analysis"
|
||
]
|
||
},
|
||
{
|
||
"cell_type": "code",
|
||
"execution_count": 1,
|
||
"id": "2aa3c6c09e8645d1",
|
||
"metadata": {
|
||
"ExecuteTime": {
|
||
"end_time": "2024-03-22T01:44:34.218075Z",
|
||
"start_time": "2024-03-22T01:44:31.192262Z"
|
||
},
|
||
"collapsed": false
|
||
},
|
||
"outputs": [
|
||
{
|
||
"name": "stderr",
|
||
"output_type": "stream",
|
||
"text": [
|
||
"2024-03-22 09:44:31.563083: I tensorflow/core/util/port.cc:113] oneDNN custom operations are on. You may see slightly different numerical results due to floating-point round-off errors from different computation orders. To turn them off, set the environment variable `TF_ENABLE_ONEDNN_OPTS=0`.\n",
|
||
"2024-03-22 09:44:31.627418: I external/local_tsl/tsl/cuda/cudart_stub.cc:31] Could not find cuda drivers on your machine, GPU will not be used.\n",
|
||
"2024-03-22 09:44:31.807135: E external/local_xla/xla/stream_executor/cuda/cuda_dnn.cc:9261] Unable to register cuDNN factory: Attempting to register factory for plugin cuDNN when one has already been registered\n",
|
||
"2024-03-22 09:44:31.807176: E external/local_xla/xla/stream_executor/cuda/cuda_fft.cc:607] Unable to register cuFFT factory: Attempting to register factory for plugin cuFFT when one has already been registered\n",
|
||
"2024-03-22 09:44:31.818271: E external/local_xla/xla/stream_executor/cuda/cuda_blas.cc:1515] Unable to register cuBLAS factory: Attempting to register factory for plugin cuBLAS when one has already been registered\n",
|
||
"2024-03-22 09:44:31.846804: I external/local_tsl/tsl/cuda/cudart_stub.cc:31] Could not find cuda drivers on your machine, GPU will not be used.\n",
|
||
"2024-03-22 09:44:31.847351: I tensorflow/core/platform/cpu_feature_guard.cc:182] This TensorFlow binary is optimized to use available CPU instructions in performance-critical operations.\n",
|
||
"To enable the following instructions: AVX2 AVX512F AVX512_VNNI FMA, in other operations, rebuild TensorFlow with the appropriate compiler flags.\n",
|
||
"2024-03-22 09:44:33.171428: W tensorflow/compiler/tf2tensorrt/utils/py_utils.cc:38] TF-TRT Warning: Could not find TensorRT\n"
|
||
]
|
||
}
|
||
],
|
||
"source": [
|
||
"import os\n",
|
||
"\n",
|
||
"import matplotlib.pyplot as plt\n",
|
||
"import numpy as np\n",
|
||
"import pandas as pd\n",
|
||
"import pywt\n",
|
||
"import tensorflow as tf\n",
|
||
"from skimage import restoration\n",
|
||
"from sklearn.metrics import classification_report\n",
|
||
"from sklearn.model_selection import train_test_split\n",
|
||
"from sklearn.preprocessing import LabelEncoder\n",
|
||
"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",
|
||
"from tensorflow.keras.callbacks import EarlyStopping\n",
|
||
"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",
|
||
"import matplotlib.pyplot as plt\n",
|
||
"import seaborn as sns\n",
|
||
"\n"
|
||
]
|
||
},
|
||
{
|
||
"cell_type": "markdown",
|
||
"id": "e7597045d3c34419",
|
||
"metadata": {
|
||
"collapsed": false
|
||
},
|
||
"source": [
|
||
"# Load the Data\n",
|
||
"\n",
|
||
"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": "2024-03-22T01:44:34.223801Z",
|
||
"start_time": "2024-03-22T01:44:34.219324Z"
|
||
},
|
||
"collapsed": false
|
||
},
|
||
"outputs": [],
|
||
"source": [
|
||
"# Define the directory where the dataset is located\n",
|
||
"DATASET_DIR = './UWB-LOS-NLOS-Data-Set/dataset'\n",
|
||
"\n",
|
||
"\n",
|
||
"def load_data(dataset_dir):\n",
|
||
" # Load the data\n",
|
||
" # 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",
|
||
" file_paths = [os.path.join(dirpath, file) for dirpath, _, filenames in os.walk(dataset_dir) for file in filenames]\n",
|
||
" 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",
|
||
"\n",
|
||
"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",
|
||
"execution_count": 3,
|
||
"id": "9e0b1ed6f23a17cf",
|
||
"metadata": {
|
||
"ExecuteTime": {
|
||
"end_time": "2024-03-22T01:44:34.228582Z",
|
||
"start_time": "2024-03-22T01:44:34.224926Z"
|
||
},
|
||
"collapsed": false
|
||
},
|
||
"outputs": [],
|
||
"source": [
|
||
"def stat_analysis_and_plots(data):\n",
|
||
" # Statistical Analysis\n",
|
||
" print(\"Statistical Analysis:\")\n",
|
||
" print(data.describe())\n",
|
||
"\n",
|
||
" # Plot Boxplot to check for outliers for the first 15 columns\n",
|
||
" print(\"Boxplot of the first 15 columns:\")\n",
|
||
" fig, axs = plt.subplots(15, 1, dpi=95, figsize=(7, 17))\n",
|
||
" for i, col in enumerate(data.columns[:15]):\n",
|
||
" axs[i].boxplot(data[col], vert=False)\n",
|
||
" axs[i].set_ylabel(col)\n",
|
||
" plt.show()\n"
|
||
]
|
||
},
|
||
{
|
||
"cell_type": "markdown",
|
||
"id": "1dd92fe7b6881ea6",
|
||
"metadata": {
|
||
"collapsed": false
|
||
},
|
||
"source": [
|
||
"# Channel Impulse Response (CIR) Graphs\n",
|
||
"\n",
|
||
"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."
|
||
]
|
||
},
|
||
{
|
||
"cell_type": "code",
|
||
"execution_count": 4,
|
||
"id": "308d64639b199bc7",
|
||
"metadata": {
|
||
"ExecuteTime": {
|
||
"end_time": "2024-03-22T01:44:34.235493Z",
|
||
"start_time": "2024-03-22T01:44:34.229649Z"
|
||
},
|
||
"collapsed": false
|
||
},
|
||
"outputs": [],
|
||
"source": [
|
||
"def cir_graphs(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 CIR columns\n",
|
||
" cir_columns = [col for col in data.columns if 'CIR' in col]\n",
|
||
" data_los_cir = data_los[cir_columns]\n",
|
||
" data_nlos_cir = data_nlos[cir_columns]\n",
|
||
"\n",
|
||
" # Calculate the magnitude and time for each CIR column\n",
|
||
" time_los = np.arange(len(data_los_cir.columns))\n",
|
||
" magnitude_los = np.linalg.norm(data_los_cir.values, axis=0)\n",
|
||
"\n",
|
||
" time_nlos = np.arange(len(data_nlos_cir.columns))\n",
|
||
" magnitude_nlos = np.linalg.norm(data_nlos_cir.values, axis=0)\n",
|
||
"\n",
|
||
" # Plot the magnitude vs time for LOS\n",
|
||
" plt.figure(figsize=(20, 10), dpi=300) # Increase figure size and DPI\n",
|
||
" plt.plot(time_los, magnitude_los, linewidth=2) # Increase line width\n",
|
||
" plt.title('Magnitude vs Time for LOS')\n",
|
||
" plt.xlabel('Time (ns)')\n",
|
||
" plt.ylabel('Magnitude')\n",
|
||
" plt.xlim([600, max(time_los)]) # Set x-axis limits\n",
|
||
" # plt.ylim([0, 2e6])\n",
|
||
" plt.show()\n",
|
||
"\n",
|
||
" # Plot the magnitude vs time for NLOS\n",
|
||
" plt.figure(figsize=(20, 10), dpi=300) # Increase figure size and DPI\n",
|
||
" plt.plot(time_nlos, magnitude_nlos, linewidth=2) # Increase line width\n",
|
||
" plt.title('Magnitude vs Time for NLOS')\n",
|
||
" plt.xlabel('Time (ns)')\n",
|
||
" plt.ylabel('Magnitude')\n",
|
||
" plt.xlim([600, max(time_los)]) # Set x-axis limits\n",
|
||
" # plt.ylim([0, 2e6])\n",
|
||
" plt.show()\n"
|
||
]
|
||
},
|
||
{
|
||
"cell_type": "markdown",
|
||
"id": "531a6ffbad89ba15",
|
||
"metadata": {
|
||
"collapsed": false
|
||
},
|
||
"source": [
|
||
"# Calculate Total Distance\n",
|
||
"\n",
|
||
"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",
|
||
"\n",
|
||
"$$\n",
|
||
"\\text{Total Distance} = \\sum_{i=1}^{n} |CIR_i| \\times \\text{speed of light}\n",
|
||
"$$\n",
|
||
"where:\n",
|
||
"- $n$ is the number of CIR columns\n",
|
||
"- $CIR_i$ is the $i$-th CIR column\n",
|
||
"- $\\text{speed of light}$ is the speed of light in meters per nanosecond"
|
||
]
|
||
},
|
||
{
|
||
"cell_type": "code",
|
||
"execution_count": 5,
|
||
"id": "80cfcfac265d9357",
|
||
"metadata": {
|
||
"ExecuteTime": {
|
||
"end_time": "2024-03-22T01:44:34.239821Z",
|
||
"start_time": "2024-03-22T01:44:34.236626Z"
|
||
},
|
||
"collapsed": false
|
||
},
|
||
"outputs": [],
|
||
"source": [
|
||
"def calculate_total_distance(data):\n",
|
||
" # Speed of light in meters per nanosecond\n",
|
||
" speed_of_light_ns = 0.299792458\n",
|
||
"\n",
|
||
" # Extract the CIR columns\n",
|
||
" cir_columns = [col for col in data.columns if 'CIR' in col]\n",
|
||
"\n",
|
||
" # Calculate the total distance for each row\n",
|
||
" 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": "2024-03-22T01:44:34.244852Z",
|
||
"start_time": "2024-03-22T01:44:34.240991Z"
|
||
},
|
||
"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",
|
||
" # Plot SNR for LOS\n",
|
||
" plt.plot(snr_los, label='LOS')\n",
|
||
"\n",
|
||
" # Plot SNR for NLOS\n",
|
||
" plt.plot(snr_nlos, color='red', label='NLOS')\n",
|
||
"\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": "2024-03-22T01:44:34.251268Z",
|
||
"start_time": "2024-03-22T01:44:34.246016Z"
|
||
},
|
||
"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",
|
||
" data (pd.DataFrame): The data.\n",
|
||
" feature (str): The name of the feature to plot.\n",
|
||
"\n",
|
||
" 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": "2024-03-22T01:44:34.257602Z",
|
||
"start_time": "2024-03-22T01:44:34.254102Z"
|
||
},
|
||
"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": "code",
|
||
"execution_count": 9,
|
||
"id": "9d9ee6b43c102fd9",
|
||
"metadata": {
|
||
"ExecuteTime": {
|
||
"end_time": "2024-03-22T01:44:34.262070Z",
|
||
"start_time": "2024-03-22T01:44:34.258569Z"
|
||
},
|
||
"collapsed": false
|
||
},
|
||
"outputs": [],
|
||
"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"
|
||
]
|
||
},
|
||
{
|
||
"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": 10,
|
||
"id": "fe3089568e99a58d",
|
||
"metadata": {
|
||
"ExecuteTime": {
|
||
"end_time": "2024-03-22T01:44:34.266215Z",
|
||
"start_time": "2024-03-22T01:44:34.263055Z"
|
||
},
|
||
"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": "9fa7435148a660ec",
|
||
"metadata": {
|
||
"collapsed": false
|
||
},
|
||
"source": [
|
||
"# Discrete Fourier Transform (DFT)\n",
|
||
"\n",
|
||
"The `perform_dft` function performs a Discrete Fourier Transform (DFT) on the Channel Impulse Response (CIR) values. The DFT is a mathematical technique used to transform a sequence of complex numbers into another sequence of complex numbers with the same length. It is widely used in signal processing to analyze the frequency components of a time-domain signal.\n",
|
||
"\n",
|
||
"Here's a step-by-step breakdown of the function:\n",
|
||
"\n",
|
||
"1. **Extract the CIR values**: The function takes a DataFrame and the column names of the CIR values as input, and extracts the CIR values.\n",
|
||
"\n",
|
||
"2. **Perform DFT on the CIR values**: The function uses the `numpy.fft.fft` function to perform the DFT on the CIR values. The DFT is computed along the second axis of the array (axis=1), which corresponds to the columns of the DataFrame.\n",
|
||
"\n",
|
||
"3. **Take the absolute values of the DFT**: The DFT operation returns complex numbers, which can be difficult to interpret and visualize. Therefore, the function takes the absolute values of the DFT, which gives the magnitude of the frequency components.\n",
|
||
"\n",
|
||
"4. **Return the absolute values**: The function returns the absolute values of the DFT.\n",
|
||
"\n",
|
||
"The mathematical representation of the DFT is:\n",
|
||
"\n",
|
||
"$$\n",
|
||
"X[k] = \\sum_{n=0}^{N-1} x[n] \\cdot e^{-j(2\\pi/N)kn}\n",
|
||
"$$\n",
|
||
"\n",
|
||
"where:\n",
|
||
"- $X[k]$ is the $k$-th element of the DFT.\n",
|
||
"- $x[n]$ is the $n$-th element of the input sequence.\n",
|
||
"- $N$ is the total number of elements in the input sequence.\n",
|
||
"- $j$ is the imaginary unit.\n",
|
||
"\n",
|
||
"The reason for using the DFT in this context is to analyze the frequency components of the CIR values. This can provide valuable insights into the characteristics of the wireless channel, such as the presence of multipath propagation."
|
||
]
|
||
},
|
||
{
|
||
"cell_type": "code",
|
||
"execution_count": 11,
|
||
"id": "cef7ba14c54b52d8",
|
||
"metadata": {
|
||
"ExecuteTime": {
|
||
"end_time": "2024-03-22T01:44:34.269978Z",
|
||
"start_time": "2024-03-22T01:44:34.267150Z"
|
||
},
|
||
"collapsed": false
|
||
},
|
||
"outputs": [],
|
||
"source": [
|
||
"def perform_dft(data, cir_columns):\n",
|
||
" # Extract the CIR values\n",
|
||
" cir_values = data[cir_columns].values\n",
|
||
"\n",
|
||
" # Perform DFT on the CIR values\n",
|
||
" dft_values = np.fft.fft(cir_values, axis=1)\n",
|
||
"\n",
|
||
" # Take the absolute values of the DFT\n",
|
||
" dft_values_abs = np.abs(dft_values)\n",
|
||
"\n",
|
||
" # Return the absolute values\n",
|
||
" return dft_values_abs"
|
||
]
|
||
},
|
||
{
|
||
"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": 12,
|
||
"id": "670e8c2cf19126ea",
|
||
"metadata": {
|
||
"ExecuteTime": {
|
||
"end_time": "2024-03-22T01:44:34.273786Z",
|
||
"start_time": "2024-03-22T01:44:34.270940Z"
|
||
},
|
||
"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": 13,
|
||
"id": "685463c2d6065b08",
|
||
"metadata": {
|
||
"ExecuteTime": {
|
||
"end_time": "2024-03-22T01:44:34.283613Z",
|
||
"start_time": "2024-03-22T01:44:34.274748Z"
|
||
},
|
||
"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",
|
||
" # denoised_cir_data = perform_dft(data, cir_columns)\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": 14,
|
||
"id": "79c2c23691b26753",
|
||
"metadata": {
|
||
"ExecuteTime": {
|
||
"end_time": "2024-03-22T01:44:48.269808Z",
|
||
"start_time": "2024-03-22T01:44:34.284501Z"
|
||
},
|
||
"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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"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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aXtvjs8cICzLrK1cX6bpZyR4tmnIxcLjcevlEhx7e36w9Db3j3s9ikj62MlfvX5IlC/ekPNJvd+rBfU26d3ejes7z+yXIYtIXryzQW+el8Zq9iHHdBQAABAr6FgAAEEjoXTBTEAAGTAECwAAAgD/jBBcAAAQSehcA/mjE6da9uxv01+31GnRM7lpwenSI3rkoUzfOSVFEsNVLFQKYLvQuAAAgkNC7AACAQDKZ3qVnyKGazkFVdw2q5tSfzkE199n15oHtpcmRWl2UoCuLEpUXH+5xcEvHwIi21XRpS3W3dtf3qGfIodToUC3OitGynDgtyY5VXHiwR8ecjNquQf1pa62eO9p+zvd6MTNJmpserdWFCVpVmKjsuLDzbmsYhp4ub9NdL1ZowMPx4dGhVn1jbZGuKk6aZMXe1W936lhbv9yGobz4cCVGeh5Stru+R3/eVqdddT3eL/A8ri1L1leuLlRkCPdTWvqG9eiBZj12sEVdgxMLOZROBtV9f33JhF4DFxvbsFP3723U/Xsa1TfsHNc+60qT9LW1RdwDnATDMLSjrkf/Ptii/Y29Cg+26LL8BL1vSabip/D36URw3QUAAAQK+hYAABBI6F0wUxAABkwBAsAAAIA/4wQXAAAEEnoXAL7gchs60d6vVtuI4sKDlBsfpujQoDH3MwxDr1Z26RebKtXQMzypGuakRek9izK1uihRVlZWB2YMehcAABBI6F0AAEAg8UXvMuxwqbZ7SC19dkWFWpQeHarU6NDJlnoWt2HI7GGImC9UdQ7oT1tq9cLxjukuZVolRwbrLfPSdOOcVCVHeRZ41NI3rO89c0y76ns9ftwbZqfoi1cVTGsI0JDDpdcqO/Xc0XZtqemSw/WfaR2ZsaG6JCNGCzJidElmjLJiQ0cNvzMMQ7vqe/SnrXXa2+D58+ANGTGh+uGGUs1Oi56Wx59OhmFoT0Ov/rmrQa9Xd8ntpZk5cWFB+s76Eq3Mi/fOAWeYniGH7tvTqH/tafQ4BFCSsuPC9JMbZqkwafomcgUiwzC0vbZbf9papwNNfed8PS4sSN+7rkTLc/33dct1FwAAECjoWwAAQCChd8FMQQAYMAUIAAMAAP6ME1wAABBI6F0AeFNlx4CeOtKmZ8pb1dY/ctbX4sODlJcQrtz4k3/y4sOVmxCu5MhgmUwmVXcO6mcvV2pbbfeEH98kaXVRot6zKEPzM2Im+d0A8Ef0LgAAIJDQuwAAgEBC7+IdJ9r79ccttXqlonO6S5lSy3Jidev8dF1WkDCpRTnchqH79zTqt69Va8Tl2bSIzNhQfX99qeamT11wld3p1pbqLj13tF2vVXXK7hzfz0x8eJAWZMacDgUrTIrQzrpu/XlrnfaPEsQzEWnRIbpxTqoqOwY8DqazmE26fWWu3rsk0y8C9nzNbRjaXNWlv22v18Fm7zz/o3nPokx98vJcBVnMPnuMQNI9OKJ/7m7Ug3ubNOiY3NyQEKtZX76qUDfMSRk1XA//YRiGttZ0689ba3Ww2Tbm9u9fkqVPrMyR1Q9ft4HUu/TbnXr0QLNePtGhgRGXcuPD9d7FmVP6OwsAAEyfQOpbAAAA6F0wUxAABkwBAsAAAIA/4wQXAAAEEnoXAJPVNTiiZ4+266nDrTra1u/x/uFBFmXFhamiY0CuCS6lHhZk1o1zUvXOhRnKjA2b0DEABAZ6FwAAEEjoXQAAQCChd/Gu8lab/rilVpurujzetzgpQivy4rUyL15ZcWHaXd+jrTXd2lbTrY6BkbEPMEWiQ626fnaKbpmfruw4716br+wY0LefOqrj7QMe7WcxSR9anqP/WpY9ahCZYRjqGBhRRceAKjsGVdExoI5+u4IsZiVHhigl6uw/yVEhCrGeHXrjcLm1vbZbzx9r16aKTg14YUx7sMXkceDZaCxmk1YVJOjmealalhMns8kkwzD074Mt+p+XK8cdUHbKspxYfXd9qRIjgiddm7cZhqHariG12IaVGBmivPhwWTwMn3O6DT13tE1376xXZcegjyo9W1lKpO68vuyivp/VPTiiv+9o0MP7mzTs4WtyLBtmp+grVxcqLMji1ePOBIZhaEt1t/60tVaHW8YO/jrT3LRo3Xl9qVKjQ31U3cQEQu/icLn16IFm/XlrnbqHHOd8/V0LM/Spy/MUbPW/gDUAAOA9gdC3AAAAnELvgpmCADBgChAABgAA/BknuAAAIJDQuwCYCLvTrVcrO/XUkVZtre6SF+akTEh8eJDetTBDb52fpujQoOkpAsCUoncBAACBhN4FAAAEEnoX3zjU3Kc/vF6rbbXd590mMsSiZTlxWpEbr+V5cUqKDBl1O8MwVNExoG013dpa0619jb1yjPMCfUSwRdlxYcqOC1NOfLjSo0PVNTii2u4h1XUNqrZ7SF2D5waTjGZ2apRumZ+mtSVJCvVhyI7D5dafttbq7zvq5en6IfPSo/W1NUUaGHGqomNAFe0DquwcVGXHgPqGnR4dKy4s6HQgWGiQWVtruj0+hq9lxYbq5rlp2jA7RQnnCeuq7hzUNzaW64SHoWpxYUH6zvoSrcyL90apk2IYho63Dei5Y+164Vibmvrsp78WGWLR/PQYXZIRrQWZMSpLiTpvoM6ww6UnDrfqnp31Zx1jqkQEW/S1NUVaV5Y85Y89nWzDTt2zq1737WnUkMN3v1/yEsL1kxtmKS8h3GePEUgMw9Dmqi79aWutyls9X8zplOhQq769rlirChO9WN3k+HPvYhiGXjzeod9trlZ9z/AFty1OitAPN5Qpl9fspB1o6tMTh1p0rK1f0aFWXVuWrGtLk2W1ELAGAJhe/ty3AAAAvBm9C2YKAsCAKUAAGAAA8Gec4AIAgEBC7wJgvAzD0P7GPm080qoXjrer3z5912iDLCa9Z1GmPrAsSxHB1mmrA8DUo3cBAACBhN4FAAAEEnoX39rX0Kt79zRqe0233Iah7LgwLc+L14q8OM1Li55QMMWQw6Xd9T3aVtOtfY196ht2KMhiVk5cmLLjwpUT/5/Ar4TwIJlMpgsezzbsVF33yTCw2q5B1XUPqbZ7SG02u8KDT4aUvXV+mspSoib6NEzIvoZeffvpo2qehqAmf2Yxm7SmOFE3z03ToqyYMf9/pZMLvPxqU5Ue2Nfk8eO9e1GGPnV5noKmIUSlsmNAzx9r1/PH2lXXPTSufUKsZs1OjdIlmTFamBGjuenRchuGHtzXpPv3NI478G4spcmRmpcerYcPNMvlYVLdDbNT9KWrCxXmwyA9fzA44tL9exp1z64G2exTE54XajXra2uLdN2slCl5PH9kGIZerezSX7ZNLvjrzd65MEOfvjzvvAF7U8lfe5c9DT369avVOtRsG/c+oVaz/t9VBbpxTuq43s9xtpquQf32tWq9UtF5ztfKUiL1ww1lyooLm4bKAAA4yV/7FgAAgNHQu2CmIAAMmAIEgAEAAH/GCS4AAAgk9C4AxqO81aYfv1ChIy3jH6TsK6sKEvS51fnKjGWALnAxoncBAACBhN4FAAAEEnqXqeE2DJkJ9vBYv92pu16s0NPlbdNdyrSzmk26cU6qbluapfSY0AkdY1NFp37w7DH1DnsWxlSWEqk7NpQpewpCVGq7Bk+HflV1Dk76eBaTFGQxa9g5+fe1EKtZa0uSdOv8NM1KjZLJZNLBpj59c2O5mjwMqsuJC9Od15epODly0nV5W3XnoJ483KqDzX0KtphUkBihhZkxmp8Ro9iwoDH3H3a49PD+Zv1tR716hiYXuJYTF6a+Yae6PTzOTXNT9f+uLFDoDA9Ze7N9Db36+aYqn93bLUuJ1J3Xl037/Vp/612qOgf0m1er9VpV14SPsaY4UV9bW6To0LF/xiB1DozoT1tr9diBZrkuMJsyPMiir6wpvKhDAb2pomNAW6u75HIbKkuN0tLsWILrAGAM/ta3AAAAXAi9C2YKAsCAKUAAGAAA8Gec4AIAgEBC7wJgLM8fa9d3nz6qkQuNmJ0CefHh+uKVBVqWGzetdQCYXvQuAAAgkNC7AACAQELvgkDwbHmbfvziCfXbL75x5EEWk256I/grNXpiwV9narPZ9e2nj2p3fa9H+4UFmfWVq4u0Yfb5Q1QcLreOtvZrX2Ov9jf26Xh7v2x2p0KsFoVazQoLsig0yKxQq1mhQRaFWi0KCzr5cZDFpN31vTrW1j/Zb9HrsuPCdMv8NG2YlaKYUQKwbMNO3fn8cb1wvMOj4wZbTPrsqny97ZL0aQ9QcbrceqWiUw/tb7rgayMvIVwLMmJ0SWa0LsmIUdoZr0mHy63HD7XoL9vq1N4/Mql6ChLD9cFl2bq6OEmdAyP65sZy7W3s8+gYZSmRuuvGWV75ufF39d1D+vVr1Xr5hGevwYmICLboG9cUa21Jks8f63z8pXdp77frD1tq9cShFrm9cEs9NSpEP7iuVJdkxkz+YDPUkMOlf+5q0D92NmjQMf6e4NqyZH3l6kJFhlh9WN3Mdai5T79/vUbba3vO+vzctCh9+9oS5caHT09hM5TbMDRgdykyxDLt/QGAyfOXvgUAAGA86F0wUxAABkwBAsAQqEacbu1v6pXZZFJRUgQrswDADMUJLgAACCT0LgDOxzAM3b2zQb95rXpa64gKseqjK3J06/w0WS3maa0FwPSjdwEAAIGE3gUAAAQSehcEiua+YX3n6WPa2+BZcFWgCrGadfPcVL1/SZaSo0K8emyX29DfdtTpT1tq5ek6MOvLkvXlN0JU+u1OHWzu077GPu1v7NWhZpvszpnx/mExSasKE3XL/DQtyY4dM4DDMAw9drBFP3250uPnYFVBgr61rnjUcDFfa7XZ9eiBZj12sEWdA56HdqVEheiSjGjlJYTr8UOtauodnlQ9xUkR+tDyHK0uTJD5jOfc6Tb0+9dr9Pcd9R4dLz48SHfdOEvzM/wvUMk27NS+xl51DzqUGRequWnRCvLwnmjvkEN/2VanB/c1yemNBCoPvHVemj6/Ol+hQZYpfVxp+nsX27BT9+yq1z93N3r9Pc9skj58aY7+69JsWc0E/5zicht64lCL/rClVh0TeK+SpIyYUP1wQ6lmp0V7ubqZ61hrv36/pUabq7rOu02o1awvXFmgm+emElY1Se39dv19R72eP9aurkGHQq1mvWVemj50afa09AgzmWEYauwdltVsUnJUyFk9B+Bt0923AAAAeILeBTMFAWDAFOjsHpB7htwU9AeGYWhrTbc2Hm5VZeeA4sKCdOPcVF1TkiwLNwu8YnDEpb/vqNO/9jZp4I3wuvAgi965KEMfvjTb45t0OL/DLTY9d7RNLX12JUeF6Nb5acphJRGv6xlyaH9jn0KtZs1Jj1JEMKvgAGfiBBcAAAQSehcAo3G6Df33ixV65EDztNVgNklvmZemj63IUVx48LTVAcC/0LsAAIBAQu8CAAACCb0LAonLbejunfX6w5ZauaY47GY85qZFaU1JkoqTInXoVDBWU6/67eNfADvEatYt89P0vsWZSoz0bvDXm+1v7NU3Nx5Vi83u0X7p0SGKCg3SifZ++eF/w6SEBZ0M23j3okylTCB4rapzQF9/slyVHYMe7ZcSFaIfXFeqBZm+D6pyG4Z21vXooX1Neq2y0+MQOF8oS4nUh5fn6PL8+AsGyGyu6tR3nj6mvmHnuI9tNZv05asL9ZZ5ad4odVLchqHd9T3698EWvVLReVZ4VHiQRUtzYnVZfrxW5sVf8Off4XLrwX1N+su2Oo+eizcLsZp16/x0XZYfr5+8eEI1XUMe7V+UFKGf3DBLWXFhE65hIqard7ENO3Xfngbdt6fRo/f1ibgkI1o/uK5UqdGhPn0cf2cYhrZUd+tXr1apqtOz99XRWMwmfWJlrt63JJPAnwuo6hzQH7fU6sXjHePeZ3Vhgr5xTbFiCaryWNfgiP6+o14P728eNVQwJSpEP9xQ6pdhloGm3+7Ug/ua9Mj+5tP9b05cmD6yPEfXlCYRYgef4JoLAAAIJPQumCkIAAOmwG1/2a4PLs3SrNSo6S4l4FW0D+jnr1RqR13POV9bkBmjOzeU+vym8UzmNgxtPNyq326uOe9qSHPSonTn9WVKu8hvykxWffeQfvVqlV6p6Dzr82aT9IFl2fro8hwC7byguW9Yv9tco+ePtp2+0R8datUHlmbpPYu5AYbAUt05qMcONqu8xaaIEKvWlSZrTUmSV1bK4gT3P9yGofIWm5xuQzlx4YoN54YuAAD+ht4FwJsNjDj1tSfKtbWme8LHiAi26OriRK0vS1GI1azqrkHVdg2qunNQNV2DauwdvuBEkAWZMfrilQUqSY6ccA0AZiZ6FwAAEEjoXQAAQCChd0EgOtJi07eeOqq6bs/CanyhJDlS15QkaU1JktJjzh0T7HIbquwY0L7GXu1t6NO+xl51jDK2ONRq1tsuSdd7FmcqIWLqFkjpG3bozudPeBTyMRPFhFr1jgUZetuC9EmHlww7XPrFpio9vN+zBXfMJunDy3P0wWXZFxz77DYMVXUMam9jrw429anVZpfZbFJksEXhwRZFBFvf+PvknzM/V9kxoIf3N/vFz450MjTvw8tztDw3btyhGy19w/r6k+U62Gzz6LHedkm6vrA6X9ZpWMC71WbXk4db9MShVjX2Do9rn7KUSK3Mi9dl+fEqS42S2WSSYRh6uaJTv3m1SvU94zvOaE6937x3Sabi31iQacjh0l0vVujJw60eHSsyxKLvrS/VFQUJE67HU570Lg09QzrW1q+oEKvKUqIUFer54tdTGfx1pqgQq75xTZGuLk6assf0J4ea+/Tb16q1q77X68dekh2r760vURJzps5S1z2kP22t1bPlbZrIJNWkyGB959oSLcuJ83ptM1HfsEP37GrQ/XsaNeS48PmXxSR9fGWu3r80i7k7E9Az5ND9exr1wN4m2eyjB2euLkzQ19YWnf69iMnpHhzRoWabGnqHVZIcofnpMRft3D5fXnNp6RtWfc+QTDLpkswYr8yJwugcLreCpuE8AvCWVptdNZ2DGhhxamFmLHP8fMAwDHUMjMhmdyo2LIieAgGrY3BENX0j6h50qCglUvlRwXLPtBUgcFEgAAyYAmt/tkk1nQP63KoCve2SNJLVJ6B7cER/2FKrRw80X3CiXUJEsO68vlQLM2OnrLaZYm9Dr372cqWOtvWPuW10qFXfXleiVYVTd8Nrpugbdugv2+r0wN4mOS/wYl6UFaM7riPQbqJsw079bUed7t/TqJHzLPG19I0bYDzHk9cz6NC/9jbqlYpO9Q07lB0frncvzNBlY6xohvEZHHHpj1tqdf+ehnNWrJuTFqUfXV826ZWyGBApOV1uPbS/WXfvrFd7/8mBaiFvDBb52IochQZZprlCAABwCr0LMPWcbkNPHW7Vvw+1qLlvWIkRwbqmNFm3zE9T2DT3yq02uz7/6CGdaB/weF+zSbo0N04bZqXoioKEC/b9I0636nqGzgoF6xs+ecP72rJkjwb3A7i40LsAAIBAQu8CAAACCb0LAtWQw6Wfv1KpRw+0eLSfxSRlx4UrPzFcLrehVptdrTa7ugYd4z5GXkK4rilJ0tqSJOXEh3v0+IZhqLF3WHsbenWsrV+DIy7NSo3S1cWJipumyYGGYeixgy366cuVsjsvrp//5MhgvWdxpm6em6bwYO/er3vpeLvueO7EeYMmzmdhZox+cF2pkqNOjst1uNwqb+3XvoZe7W3s1YGmPvUNe3ZMf1OWEqmPr8yd8L1Bh8ut37xWrXt3N3q038LMGP34hrIp+VlzuNx6rbJT/z7Uom013RecuzGW+PAgLc+LV1PPkPY29k34OOFBFr1tQbresyjjvM/BxsOt+smLJ8YMo3mzD146dQt3j9W7OFxuvXC8XQ/sbdKhM4LiLCZpTlq0lufFaUVevEqSIy8YpOOt4K+YUKs+eGm2mvvsun+PZ69ZSXr3ogx95or8iyI4xek2tKmiQ/fubtSBpom/1scjNixI315XrMunMLzOXzX1Dusv22q18XDrOWPsJ+I9izJ1+2W5CrYSlDKafrtT9+9p1D93N3j83nJpTpy+u75kSsNiA1nHwIj+uatBD+9vGtfvtdiwIH1tbZGuKkqcgupmHrdhaHd9jx7Z36JXKjrOmuuXGhWiL15ZoNUX4XPr7WsufcMOPXe0XU8ebtXhlv/0OfHhQXr/kiy9Y2EGQWBeMDDi1CsnOvVMeZvKW23qHXZqVmqUbpqbqpvmpF4UfdlUqO0a1CsVndpW06W2/hGFB1l0bVmy3jLP++fn08XlNrS1pkudAyOKDg3S5fnxUxJK7TYMHWmx6bWqLm2u7NTxM8YFW80mrS9L1mdW5U86AN1fOFxuNffZ5XIbyokPm5LA1P8E/vdpf2Ov9jX2qu2NeZQWk3RFYaI+dXmesuPCfF7LVGnvt8tmdyohPFgxU/jaMQxDVZ2Der2qS1tqutTYMyyH29CqggS9a2GGchM8uzbrrwzD0Naabp1oH5BJOu9iE7543IqOAW2q6NSrlZ0qbz07G6MwMUJfXVOo+RkxPq9lKhiGoZquIY243EqNCpnS17J08hzl9apOba3pVpttRCaTdN2sZF03K2Xa55LMNASAAVNg7c826cQboUpripP0jWuKFBni+QocFyOHy60H9jbpz9tqx32B0GKSPnVFvt6zKINJd+PQ2Duk37xarRcmsALWuxdl6FOX55EEPg6ngmX+vLVWveO8eR0fHqQfXFeqpawkMm6ON57nv4zzeY4LC9J315doRV78FFQ38/Tbnbp3d4Pu3d2ogZFz36PXFCfqK2uKZsxFlenwamWn7nqxQq02+3m3iQm16nvrS7Uyf+Kv44t5QKRhGHq1sku/erXqvKsDFidF6Cc3zlJm7My5eDVdRpxuPXqgWU+Vt6m2a1Dx4UG6cU6q3rkwg5A1L3IbhvbU92pnXbfMJpMWZ8dqYWYMvbGXGYah420Dah+wKy06VAWJ03dxBbjYXMy9CzAddtX16KcvV6qi49yArfjwIN22NEu3zE9XyDQMgDze1q/PP3ro9M3n8SpOitB1s1K0rixZiQwuBOBj9C4AACCQ0LsAAIBAQu+CQLepokN3vVgx6n2O1KgQFSRGvPEnXIWJEcqJDx/1fsyI0622fvvpQLAz//QOORQfHqyCpAitLUlS4Qwd21DVOaBvPHl01PtZ/iI2LEhXFSXqisIEdfTbtbexT/saetXYO+zRcbLjwnTbkiytn5Xs0/HbzX3D+ubGox4H2cSEWnX97FQdbbPpULNtxgSz5SeE6+Mrc7W6MMErY7BePtGh7z97zKMAldSoEP3PzbNVkhw5ru17hhyq7hzUkMMli9kkq9kki8kki/nsP9Y3Pjcw4tTT5W16+kibuofGHyzoSxHBFr19QbrevTBTseFjj0Wu6RzU1zeWe7x41KU5cfrBhlKfj3c+X+/S0W/XIwea9fD+5nGFOsaFBenS3Dgtz4vTpTlxp0PRvBX8FWI1610LM3Tb0qzT855er+rS95455vFrY2VevO7YUOp386dquwb16IEW7azr1rDTrey4MF2aE6dLc+OUHRc27p/zfrtT/z7Yon/tbVRz3/nHevvCOxak69NX5E/LWA1PDTtcCrGavTaGtb57SP/c3aB/H2w5K6jHG4qTInTHhjLlzZDJ+N4w7HDpwX1N+vuO+nHPhRpNQkSwfnBdiZZkMz/qfJr7hnX3jno9fqhFIxNItVtXmqQvXVU45WEAgap7cERPHm7VoweaVd9z4Z58VUGC/t9VBUqN9n2Yhb/wxjUXl9vQ9tpuPXm4VZsqOi74ui5NjtTXrylSWUrUhGu+WDldbm2v7dHT5a16paLzvOdgs1Oj9I1rilSUNL7zCX/mdBs61mrTiMtQcXKEIoJ922sahqHj7QN6+USHXj7RoarOwVG3S4sO0VfXFAX8PNWDTX364fPHVdnxn+8zOTJYn19doDUlSV5/vIERp7bX9mhzZader+4a85woLixIX7q6UGuKEwN2jpRhGHrycKv+uKVWLW/MGc2KDdVtS7N045xUr35fww6XDrfYtK+xV/sa+3SwqW/UecBnCrGa9fGVuXrXwoyADg6s6x7Sr1+t0isVnZKkYItJ68tSdPvluYr3UcD6sMOlXfU92lzVpS3VXec9TwyymPSR5Tl63+LMKQnX85X67iF95+mjOvimEPOb56Xpc6vyvT5X1Ok2tK+hV5sqO/VqRYeaxjgPN5ukDyzN0oeX5wR0DsbOum79+tXq0yFnoVaz3jo/TR9bkeuz4MlTv/teq+zUa1VdOnJGgOuZMmNDdcd1pZqdFu2TOqaS0+XWSyc6VN8zpLAgi64pnZ55JgSAAVPgzAAw6eSNtx9dX6bicd58uRgZhqHNVV36xabzh3GM5cqiRH17XbHf3SzwFwMjTv1te73u3d0woQuDp8xJi9Kd15cp7SK6iOWJk8EynfrVq9UTei2bJH14ebY+dOnUrCwUqAzD0EsnOvSb16rVMMaF19G8Z1GmPnl5bkA38VNp2OHSA3ubdPfOsW/iJEQE61vXFE8qnOpi1Gqz639eqjh9gWE8PrA0Sx9bmTuhVS8u1gGRx9r69YtNVdpV1zPmtlEhVn1vfQkrZk2Q2zD03NF2/e/m6lEvruTEhen715VqVio3bCbDbRh6+USH/rS19qyL7ZK0ICNa31xXMqNWYZguTrehp4+06q/b68664XtJRrT+31WF4x5kh7G199v1THmbDjXbFBZk1mX5CbqyKJG+2Mv67U7tqO1W/4hLefHhmpMW5fc3wy7W3gWYak29w/rlpiq9dGLs0PikyGB9cFm2bpqbOmXn1luqu/S1J8o16Bj/wOVb5qfplvlpM2IQC4DAQe8CAAACCb0LAAAIJPQumAkcLrderexUe/+Igq1mFSSEqyAxgrHPE2B3uvWrTVV6YF/TdJdyWlSIVasLE3RNaZIWZ8WOOqGvzWbXvsZe7W04ORHzfCFmpcmR+sCyLK0unLpxE063oT9tqdFft9frYp30kxUbqo+uyNXakiSvP+8NPUP68uNHPAqrCrGa9Z1rS7T2TZOuR5xuHW/v16Fmmw632HS4uW/MIAt/FmI1650LM/S+xZkeh5gMO1z6xaYqPby/2aP90qJD9JMbZ/k0dOLM3sUwDL1yqFn3727QC8c75JpgiJFJUllqlIqTIvTC8fZJBX+ZJN0wJ0UfXZGrlKiQc77e0W/Xd585pu21PR4dNz8hXD+9efa0L8LrNgxtre7Wv/Y2amtN93m3S48J1fLcOC3Pjdfi7JhRAyUaeob0r71Nevxgi0djFkazNDtWVxYl6vev13gcrlSaHKn/vmmWXwbSVHYM6NEDzdpU0akWm10xoVYtyY7V+lkpWp4b5/HYErdhaFtNtx7Y26TXq7t8VPVJIVazPrcqX7fMT/P7cXTSySDUfY19kmFodlq0ipMivFL3qUWf/2973bjCCcfDJOlDl2brw8sDa35U75BDO+p6VNUxoOLkSC3MjPFqyFZt16D+vqNeT5W3Tfj3wSmJEcH6ZgDO3+m3nwwiPdjUp2CLWSvy43VFQcKE5sZciGEY2tPQq0f2N+vlig45PJhPGR5k0ccvy9XbL0kPqNfvKf12px7c16TnjrbLZneqOClCN81N1RUFowfcTuaaS03XoJ483KqnjrSq3YOFPc0m6Z0LM3waZuFLhmFoU0Wn/rm7QdWdg4oItuiq4iS9Z3Gm18MjDMPQ4Rabnj7SpueOtatnnCGtFrNJ712cqQ9fmu31UJapMFpoUliQWTfNTdPHVuR49VqK2zB0sKlPL5/o1MsVHWryILx7fVmyvrC6YFwhxv7muaNt+t4zx8473/yt89L0+dWTD/Vp6BnS5qouba7q1O763gmFuq4uTNCXry5UUuS55y7+zO5060cvnNDGw62jfv2KggR965riSb1+KjoG9PSRVu1p6FV5a/+E+4vZqVH61rpiFQTgggJba7r09SfLRz1Hjg8P0neuLfFaWF9T77A2V3Xp9eqTr2dPwvBLkiP1rXXFATkPbWddt772RPl5z2OLkyL0kxtnTfpawMCIU9tqurWp4mRIYN8EQolLkyP1vetKlJ8QWK9lt2Hob9vr9fvXa0a9NpufEK6f3DhLufHeCbC2O93aVd+j1yo7tbmqS6228QWdW0zSR1fk6ralWQHZJ0vS9tpu3fHs8dP9hSRZzSa9b0mmPjLFAXIEgAFT4M0BYNLJC4JfvLJAN8/1bhrrTFDZMaCfv1Lp8Y2B0WTHheknN86asStWTYT7jRPd322uUefA+C+iXEhUiFXfubZEqwoJRTnTsdZ+/XxTpXbX9076WIuzY/WD60qnJS3U3x1o6tMvXqnSwWbPVhl7s7KUSP1wQ5myCEY5rxGnW48dbNb/ba/3+P3jLfNS9blVBQF5EXYqudyGHtjXpN9vrpnQDeGFmTH64YZSJXp48epiGxDZ0W/X/75eoycOtXo8MOmDy7L00RW5AXsyOh121nXrV5uqdfRN/fCbWcwmfWxFjt6/JHBP9qeL2zD04vEO/WXbucFfZwqxmnX7Zbl6x4LAXoVhujjdhp4tb9NfttWed4CcxSS9f2mWPnRpTkCsrOevjrbadO/uRj1/rP2cmzmzUqP0vfUlXrtAeTHrHhzR3Tsb9OC+prNuMlySEa1vXFPs189xoPUutV2DeuJwq0609ysqxKp1pclamR8vM9eDvKq2a1A76nrkcLk1Ny06IMLs/NWQw6W/7ajXPTvrPQ6NT4sO0YeX5+i6WSleH4B1pkcONOuuF05ovOVZzCZ985oiXT871Wc1AcD5BFrvAgAALm70LgAAIJDQuwAYzaaKDv3g2eMeh6h4S3iQRVcUJmhtSZIuzYlTsIfjR3qHHNrf1Kf9jX1q77crJixIqwoStCgrZtruf+6o7da3nz7mtXHnvhZiNSs3PlwVHQMTnuSaGhWiDy/P1oZZKaMGt3nLkMOl7z9zXC8cb/dov/cvyVJhUrgON9t0qNmm4+39HgVY+LP1Zcm6/bLcSQcavXCsXXc8d1wDI+MfixtsMenLVxfqprlp49reMAy19Y+oa3BEwRazIoItigyxKizIMur4PIvFrPCoUD15oFl/31Kjg42Tn2PgLSvz4vWpy/NUmHTheTduw9A/dzXod5trPJqkHxsWpLtunKUFmTGTLdVj/XanHj/Uoof2NXkcjGc1mzQ/I1rLc+O1PDdOAyMu3bu7QZsqOicdjFiUFKHPXJGnS3NPTjpvtdn17aeOak+DZ6+L+PAg/eSGWbpkGp7bNxt2uPTi8Q49cqBZB5rOP7cjJtSqa0qTtb4seczxPf12p5483KoH9zWprnvIF2Wf12X58frWumLFh/vfHB63YWhzVZfu3lGv/W96rouTIvSOhRlaV5o8oXGsbTa7HjnQrMcOtvjsd//CzBj94LpSJY8SNuhP+u1O/XV7ve7f03DWGKpQq1lvnZ+m9y3O9HjexpkON/fp3t2NeuF4uyaZ+3WOm+am6nOr8v0+WNjpNvTYgeZRQxCz48L00eU5WluaNOmxlj1DDm083KpHDzSrdpLvJWUpkfr62iKV+jA01Ns2VXTorhcr1DZKGNclGdH67Kp8zUmLPuvznl5z6bc79dyxdj15qHXS8/tSo0L0lTWFuiw/cOap9gw59KPnT4y62Gp4kEUfWJaldy3MmHRoUl33kJ4pb9Uz5W2TCvzNjA3V19YUaWlO3KTqmUo9Qw798LnjeqWic9SvJ0cG66trinR5wcRfNy63oV11PXq5okOvVHRO6vdgbFiQvnBlvq4tTQ6IscyGYehvO+r1u801Y25bmBihO68vU16CZ3MN3Iah54+26x+7GnRsjPll4xUZYtHnVxXohjkpAfE8d/Tb9aXHj+hQs+2C2yVGBOu760u0zMOf0Za+Yf3mtWo9e9SzawwXYjWb9OHl2bptSZZPr494i2EYun9vk37xSuWY/dW7F2Xok5fleXztTpKa+4b18P5mvVrRqequ88/jGw+L2aQPLM3Shy7NntKQocl4aF+T/uelijHH8UeGWPSddSVaXZTo8WNUdgzoL9vq9IqHoa3nE2I161OX5+ntC9IDYh6Pbdip7zx9VK9VXTgAOzzIom9fW6yri5MuuN35DDlceuFYu16t7NT22m4NOSZ+j21BZoy+v77EL0PKz8fhcuv3r9foHzsbznudpyQ5Ut/3QoDcqVitsX5fEQAGTIHRAsBOWV+WrK+uKSIQRVLPoEN/2FKjRw40e/XCVajVrK9fU6T1ZSneO2gAMgxDW2q69b+ba7x2gvRm716UoU9dnhcwTaavtPfb9bvNNdp42PNgmQtJiAjWHdeVanF2rBePGrjqu4f0283VevH4uRfHJioi2KKvrCm86N8v3szpNvTUkVb9eWutmvvGl9o7moyYUH1vfYnmZ0z/DUZ/VN5q04+eP6Hy1sm9R8eHB+mHG8o8eq+4WAZEDjtcumdXg+7eWT+pk9Gl2bG6Y0Op4vzwhq4/qWgf0K9fq9KW6vOvlDaa+enR+t51JcqIIZBxLC63oRePt+vP2+pU3Tn+C4bz06P17WtLlE3o5bi43IaePdqmv2yrG/cAkpy4MH1rXTG/8zzgchvaXNWpf+5u1N4xBjGFWM367Kp83RogK+z5m94hh/65u0H372k87+/D0DdCy2/y09DyQOldeoYc+tOWWj28v+mcmxsL3ghay/HjoLVAYBiGttZ0697dDecEyS/IiNaXry4ac3Aq/sMwDD17tF2/frVq1ME+nsiOC9NHlud4fSVst2Hot6/V6O6d9ePeJzLEortunKUl2YEzWAXAzBIovQsAAIBE7wIAAAILvQuA85loiIokpUeHaH5GjEpTIiVJdqdbQw6Xhh1v/O10a/hN/w6ymJQTH64rChK0Ijdu0pO6/VHX4Ii+98wxj8eCTaWs2FDdMj9d189OUUxYkIYcLh1q7tO+hj7tbezVwaY+DTsv/HsiISJYH1yWpZvnpk1oAuhEnJpo/b+ba7w67jzQLMiI1mdXF2h2qvfCNBp6hvT1J8s9Hpd709xUfemqwnOCczr67Trc0q/yVpuOtNhU3tqvniHHqMcID7IoIsSiiGCLIoKtJ/8OsWp/U5+6/ChMrywlUp9dla9FWbEe7VfeatM3Nx71KJDJajbpa2uLdOOcqVm4q6pzQA/sbdJTR1onNWbY25Ijg/WJy3K1vizlnPEULrehv+2o05+21I57QTTp5HP75asL9ZZ54wuv87bKjgE9eqBZTx1pk83uWQBnVmyo1pelaP2sZGXG/mdMa03noB7Y16SNh1sntKj2mcwmaU1xknbV96hrcPSf2fOJDw/SndeXefwz4isOl1vPHm3T3Tsbxhw3HBsWpLfOS9Wtl6QraYyQKsMwtLu+Vw/ua9Kmig6PXn8TFRsWpO+uL9HKvHjfP5iHHC63HtrfrL9srb1gqGywxaQb56Tq/UuzlDbOSe7DDpeeO9auh/Y1TXreyFhSo0L07WuL/XbM1Pbabv38lcoLLn4tSQWJ4fr4ilytKkzwaDyr021oe223nj7SqpdPdHi8EOaFmE3SOxdm6GMrcv16TnBHv13//VLlqKFUb7amOEmfvDz39HvxeK65GIahvY29euxAi1460XHWYsTesKY4SV+8qkCJEf49b2drTZe+/8xxdYzR46VEhehTl+dpXWmSR6/lwRGXnj/Wpn8fbNHBMUKDPLVhdoo+typfsWFBXj2ut22v6db3nj2m9nGMa11bkqQvXlmgBA9eN8MOl5443Kp7djWoqXfiwWqjuTQ3Tl9bU6T0GP8NQ3G43Lrz+RN68nDruPcJtZr1pasLdcPssYO3DMPQa1Vd+v3rNTrRPjDZcke1NDtWX7+myK/noR1uselL/z48rtfxKe9ZlKnbL8sd8/rEkMOlu3fU6x+7Grz+XnxKUVKEvr2u2K8DMB0ut+56sUKPHWwZ9z5FSRH64YbxB9o19Azpb9vr9eSR1gmHzp9PQWK4vrWuxKvXRbzN6XLrpy9X6qH9zR7t997Fmfrk5XnjWly81WbXH7fU6MnDrV4PyZWkJdmx+s61JUrx4zDi4239+soTR9TgQdjnuxdl6NOX5407qM/udOvh/U362/Z6dZ/n2tZERIVY9bW1RVpbMrFAsqlU1z2kb24c33XDiQbInZrv9Mj+Zu1r7JUhaW5atD63Kl+553nfIQAMmAIXCgCTpLz4cP34xrJJJ/8Fqua+Yd23u1GPHWz26YX1W+en6fOrC6bsZpy/cLoNvXS8XX/bUe+zE6QzzUmL0p3Xl4374uVM0jU4ort3NOih/U0+O1Eym6SPLM/Rfy3L9uoE2kDS1Dusu3fW698HWzxaOcgTG2an6MtXFfr1hdip4DYMvXCsXX/cUjvpVS5OMZuk9y3J0keX5wTU+7HLbehoq00DIy4VJEZ4dCFwLAMjTv3+9Vo9sLfRayelZpP0sRW5+sCyrHGdUPjLgMjmvmEdabEpMyZM+YnhXguUdBuGnilv029fq550kMEpyZHB+smNs85Z6cSf9Qw69PCBJm2r6ZbLbWhBZqzeMi/1rBvm3tBqs+sPr5+80DLRl3REsEVfuqpQ180KjNUuzlTfPaTN1V2qbB9QUVKEluXGKdfL4S6ng7+21k14pYAQq1m3X5ardyzICLiewm0YKm+xaX9Tn8KCLLokI8bj1UPGw+U29Pyxdv1568R+D5okve2SdN1+ea4igv17Ba3z6Rl0qNk2rIKECJ/93h4ccemJQy26f2+jRxcnJWl5bpy+va54UiuoTTfDMNRisys2LEhhPh4A3G936r7djfrn7oZxr256VVGivr62SDF+dmPXX3qX83G43HpwX5P+vLXugoPaQqxmfXR5jt69OHNcNzPwH3anW08fadW9exovOJjNYjbp3Qsz9JEVOT7/GQt05a02/fSlynNWBZ2s/IRwfWxlrq70cADWaLoHR3Tn8yfOu4LbaFKjQvSLt85RQeLFed0VgH/w994FAADgTPQuAAAgkNC7ALgQl9vQX7fX6U9ba887Ls8kqTApQpdkxOiSjGjNz4jx68lf081tGLpvd6N+81q1z8bvespskq4oSNCt89O1JCf2guMlnS63jrX1a29jn/Y19GpfY+/pUI+06BDdOj9db1+QPm0Bbq9VdupbTx0d95iOmSIrNlSfviJfq71wT3k0I86Tk1MfOeDZ5NSylEh9cFm2KjsHVN7SryOtNo8mavu7oqQIfWR5jlYVJng0cfFMgyMu/fdLFR4FBUgnJ/5+6vK8cY9btDvdauod1rDTJZMkk0yS6eTP/6mPTZJMb/y7rntQD+xt0o66Ho+/J1+KCLbotqVZetfCjDHfZw409embG8s9Xrj7lvlp+uKVBV4bf30hww6XXjzeoUcONOuAl8aazE2L1urCBO2s69G22skHTpokXVOapA8vz1FufLi6Bkf0g2ePa3NVl0fHsZikz6zK17sWZkzbmObBEZceO9isf+5q8HgsvMVs0tVFiXrnwgzNSYs663sYGHFq4+E2PbS/yaOFiL3pfYtPBluMd6K6LxmGoZdOdOg3r1V7NJ7VYjbpurJk3bY067wLgjb0DOmhfc164nCL+i4QKuYL71iQrk9enuc34+fquof0y01VerVy/GPApJO/mz++MlfLc+PO+7NoGIaOtw3oqfJWPVPe5nHon6dSokL05asLdUVBgk8fx1Nuw9BjB1v061er1G8ff29pNZv09gXp+uCybMVHhpz3mkvX4Ig2Hm7VYwdbPAoDnYioEKs+dUWebp6bOuGexVeGHS795rVq/Wtvk0f7zUmL0udXF2he+vnnIhmGoSOt/fr3wWY9W94+6TDMC4kLC9IXrizwOJhsKtidbv1uc7Xu3d3o0X7RoVZ9blW+rh8jnMo27NRD+5t03+5Gr4afvFmo1axP+Oncnd4hh77yxBHtrvc8QF2Sri1L1lfXFJ53vszOum79bnONDnk5vG40oVazbr88T2+/JN3vnueny1t1x7PHJxRGWZIcqTuuKx01KMYX8yUvxPLGvOAPL885JzB7uvUMOfSVx49MaDGAEKtZX7iyQG+Zm3re94y67iH9dXudnj7S6tOwXLPp5DnzR5bn+N0CA71DDn31yXLtmuC59oKMaN15fdl553/1DTv09x31+tde3+UznBIVYtVXri7UurJknz7ORGw83KofvXBiQs/BJRnR+tEFnmPpZObIU4db9cettWq1eXbNwRMbZqfoS1cV+OV8SsMwtPFIq+56scLjXJul2bH69jgC5MbKdgmxmvXHd8zXrFEC/wgAA6bAWAFg0snm8qtrirRhdsoUVTUxTpdbr1d367XKTpnNUmZMmFbkx6sgIdzjE7xjbf36x856vXCsfUpWB5Ck2alR+vENZUr143Aqp8utxw+16LGDLWp9YyL4gswYrcyL15Ls2HE3bXanW08ebtE/djaocRLJ0xHBFo9vJEaFWPWda0u0qtC/LmCdadjh0quVndpa062IYIsKEiN0ZWGiYsM9n9jePTiif+xs0IP7msZcGcpbluXE6vvXlSo+3H9T7A3D0I7aHr10okOdAyPKiA3Virx4Lc6KndBJdG3XoP62o15Pl7d5PR15NNlxYbrz+jKVJEf6/LEmo6l3WM8fa9e+xl4lRARrTmqU1pYmTaoxdrjcev5Yu+7Z1eCz4MCipAh9b32JipL8+/kddrj0wN4m3bOr4ayLeQsyY3TLvDRdWZQ44UCUfrtTLx4/GbDmq4ssy3Pj9P31pWO+t03ngMhTKca/f73mrLTkmFCr3jo/TbfOT1fyBAdVjTjdevlEh/65u8EnK+RYzSZ94coC3To/ze8udJ/pVAjJn7bWnnMDx2I26fpZKfrgpdmTXlGi3+7U33fU6749jV670LKmOFFfXeN/wTOjaekb1h+21Grjm4LPTJKuKk7UB5dlq3iSv1NOBVL9ZVutarq8c7Nsfnq0vrWu+Lw3nP2J030ymPJvO+rOWe1pUVaMPrA0S8tyzn9Td7xOBWBOJmDtTKlRIfra2iKt8MNVykZzaoW4e3c3nu4DgiwmXZafoA8szRr14tJEtPQN64G9TXr0YLNHN5ffLCbUqq+vLdJVxf6/OsCZqjsH9cDeRj1/rF29w06ZJJWlRuktc1O1rizZqwMtBkdc+tfeRt2zq2FCA0eSI4P1/etK/WYVQ2n8vUt995CeLm/VwSabbHanylIitX5Wiua+aSCTt5xaoeiXm6o8GtRQmhypb60rnvTviYtB1+CIHt7XrAf3NXl0sz0lKkRfuqpAqwoTfVjd5LgNQz1DDnX0j6h9YEQd/XZ1DIyovX9EHf0j6hgYUffgiCJCrMqND9fKvHityItT3CSvCzT2Dumv2+r1+KEWn64mXZocqU9fkaelORNbUfKlEx368fMnPPp/L0uJ1M/eMsfvVwAEMPMxERUAAAQSehcAABBI6F0AjMfRVpvu2dWg7bU9sphNyo4L04I3wr7mpUcrMsT/JiH5uyMtNn1jY7nHC715U3x4kG6el6a3zE2d8LwAt2Goa9Ahh8ut1KgQvxgDWNM5qC/++7DPgxQmIzEiWNfPTtEVBQkqb7Vpc1WXdtf3eDyROTrUqg8vz9Gt89OmJKzo8UMt+skLJyY04Xom8Ubw15s9W96mHz5/3KNJk5flx+uODaWjjncfGHHqQFOf9jb0am9Drw632OQI4P83i9mkW+en6UOXZns0xsM27NSPXjih54+1e/R4CzJj9OMbyrw2z8RtGOoedKjVZlebza5Wm13VXYN67mj7BRdGnG5XFSXqIytyVPimBeMMw9DD+5v1i01VHo91XluSpG9eUzyli8x3DY7oX3ub9NC+Jq+ERs1KjdI7FqSrMDFCjx5o1lNH2rwSKlOWEqlPXJaryGCrvjGB8Lq5aVG6Y0PZpMeyT8b+xl79clO1DjZPPNDObJLWFCfpv5ZlqzApQi63oS3VXXpwX5O21kw+1E6SEiKC1Tng+dwTf5gf1W936i/b6nT/nsZJhcnOT4/WJy7LPWtMa5vNrmfK2/RUees5Y8ynwlVFifrilQUTnvfiTTVdg7rz+RPaO4EAlFOiQqz60PJsffzq4tPzWNs7+rW1ulOPHWjRpsrOKZnXd6ZLMqL19bXFPlk0fCKOttr0raeOTmpOx9qSJH3q8ryz3vv6hh16prxNjx1s8dl8vvO5NDdOX11TqIyYsCl93POp6BjQtzYeVUXHxJ+HJdmx+vraImXGnv09tffbde/uRj16oHlKA5hnp0bpm9cUqzDJPxa0begZ0mcfOTTp88/suDDduaFMJSn/+R1zsKlPv3u9ZsJBQZMxN+3kHCl/eL9wuQ39bnO17t7ZMKnjhFjN+uKVBbr5jICqA019+tnLlTrc4vtwtTfLjQ/TN68p1vyMmCl/7NFUdQ7oC48enlSOgiStLkzQN64pVuwZcxhrugb11+11eqa87bwLDPhCdlyYvr3Of57j6s5BffGxQ6qf5LXA+PAg/XBDmRZnx57+nN3p1gN7G/W3HfVTHpR7TUmSvnx1oV/MWx1xuvWzVyr18H7PAuzfLD48SHdeX3bO/K9TYce/f73Ga3NSx5IZG6ofXFeqOWnnDz2dav12p370/Ak95+G1ljNFhVj11TWFuqb03AA5T7JdSpMjdfd7F5xzTZoAMGAKjCcA7JSb5qTqS1cX+l36qSTtru/RXS9WqGqUVP+06BBdlp+gy/LjtSgr9rz1G4ah7bXd+sfOhkmvqLE0O1bz0qP11+11HgWIxYRa9cPry7RsghMOfelEe7++98xxHTvP6yXEatairBitzDv5XI92cbPf7tRD+5p0357GSSXVh1jNeu/iTL1/SZZePtGhH79wwuNwq8+tytd7FmdOuAZfMIyTwRm/3FR1TuCOxWzSspxYrStN1qrChDEDlHoGHfrHrgY9uK/R45TPMy3IjFFsWJBePtHh0X6JEcH68Q1lftPEn+lwi02/eKVS+xrPvfidGBGsa0qTdG1ZskqTI8e8YV7RPqC/bq/TC8fbJ3WSlBIV4nEibZDFpM+tytfbLkn3ixv7Z+oeHNH/ba/XQ/uazrn4HR5k0fpZybplfppHAVs9Qw49eqBZD+xtUscEbgp4Kshi0sdX5Oo9izP9Llnd6Tb0xKEW/Wlr7QVX7IoNC9KNc1L0lnlp51wQHPW4Lre21XbrqSNterWy0+dp1NLJ0I4f3TDrgqtDTNeAyP2Nvfrt5poL3lywmE1aU3xq1aHxnezVdQ/p0QPNevJwq3p8uArDKdeWJevra4v8ZlWcUwzD0OaqLv1iHCEkFrNJN8w+GQSW5uGAqJquQb1wrF3372k8vSKiNyVFBus715b4Ze8mney9/rajXvePI/jsioIEfejSbI8DlBp7h/T80XY9cbjVJ4O7Qqxm3e6nK4pIJy9ibTzSqrt31o85cLA0OVK3Lc3SlUWJHn8vPYMOvVrVqX/uahj1nGeyNsxK1udWF5x1MdifjHeFuCXZsfrA0iwtyY71uD9yutzaUdejJw+36qXj3g2C3jArWf/vqkK/Hpjrcp98X35gb+MFz4cjQyzaMCtFb52fpvyEiV+0G3a49OC+Jt29s2HSvw9Nkj6wLEsfXZ7jFyvtXah3sQ079fzxdm083Hre1SVLkyP1tgXpuqYkyWsro1S0D+jnr1RO+FqHxWzSbUuz9KFl2RMOmJ0Op1ZIPtBsU2ufXYmRwbo0J04FiZ4HxV9IVeeA7t3dqKePtE5qMO7l+fH60tWFHvc7vlDTOagnDrdqX2OvWm0nw748HRRjkjQ7LUor8+J1WX68SsZxjt3SN6w9Db3aVdej3Q29aprkzU5PrcyL16evyFNB4vje33qHHPrvlyr07FHPbrJcUZCgOzaU+l2PDuDixERUAAAQSOhdAABAIKF3AYDp02936scvnPD4Pt4pcWFBmp8RrZiwIA3YXRoYcWpwxKWBkf983D/iOuseaojVrLlpUXrr/HStLkyYktCo6WAbduqbT5VrS7V3gkK8wWI26fL8eN04J1XL8+JlfdO4rCGHSzvrevR6VZc2V3VecOyR1WzS2xek64PLsqd8guXRVpu+8vgRNXkYTDMTFCVF6KPLc3SFF4O/znS8rV9ffOywWjwYq1+QGK6f3TxH4cEW7W/s1Z43Ar+OtfVP6cRqXwkLMuuG2al616KMcY0xH41hGHriUKv++6UKj+bypEaF6H9umn1WCMOF9A07dLjFpoae4bOCvlptdrX12wMqgO2y/Hh9fEXumN97VeeAvrnxqMfhKvkJ4brrxlk+XXS33+5UQ8+Q/n2wRU8cbp2S+QYTVZgYoY+vzNEVBQmnxyz1DTv0g2eP65WKTo+OFRVi1bfWFevKoqld4LGue0i/ea3a4/lcY7k0N051XYNe+50zOzVKH7w0W5flx+vZo2367xcrPQ7hC7aY9PnVBbplihc/d7kN/ftQi36/ucajxR/HsjQ7VquLEvXKiQ7trOvx6eKX4xERbNHX1hRpXdm5QQBTweFy6+876vV/2+u89r6dGRemz15dpKaeYd2/o9bjcD9vs5pN+uiKHN22NMsn/cx4uNyG7t5Zrz9sqfVKCFqwxaR3LcrU0uxYbTzSqhePd0zr+36o1ayPrczVuxdlTNtz7DYM/Wtvk37zapVXwntDrGZ9fGWu3rkwQ409Q/rHrgY9daR12vobi9mk25Zk6oOX5kxrhsD+xl598bHDXpsDFmQx6bNX5GtBZox+/3qNXqvq8spxJ1PPR5bn6P1LsqZtjlS/3alvbjyq16u991ysLkzQR5bn6O6d9RO+HuMtJknvWJihT16W67X5GBPxenWXvvFkudfC/JIjg/W99aWKjwjS/22r0/PHJjenfTJOPce3X5Y7rePhvf0cm03Sx1fm6n1LsvT0kVb9YUutx/P+vSk5MljfXleiZbnTN2+11WbXV584okPN3gn0s5ikT16ep/e+ke+xvbZbv9tco/LW8WXdeJPFJH10Ra5uWzp978enHGjq07c2lnvtHG1d6ckAuejQoAlnu/z5nfPPyQghAAyYAp4EgEnSgoxo/c/NsxUd6h8Tw9v77frlpqpxN4RhQWYty4nTZfnxWpkXr8TIEDldbj13rF337GqYdPp0dlyYPrsqX5fnx8tkMmlvQ6++9mS5Rwn2FpP01TVFunle2qRq8Rany62/7ajXX7bVeZRin58QfvJ5zo9XRkyYHtx3cmWHyTZS15Qk6dNX5J21IlJV54C++kS5qj0MQ/jQpdn62IocvwhPOtbWr5++VKG9o4RSvVmI1azL8uN1TWmyVubFn3VC3Tvk0D93N+hfe5omtdpFZmyoPnNFvlYXJkiSHtzXrF9sqvToAkKwxaTvrS/VmpKkCdfhTa02u363uVpPHWkb1/Y5cWFaV5as9WXJ59zYOtxi01+31WlTpWcX/t8sMzZUn7o8T1cVJeqxgy366cuVHl8Me8eCdH1+dcG0N5jSyZvk9+5u0D92NozrZ31eerRumZ+mq4uTznthqKZzUPftadTGI9Nzg2h+erTu2FA64VXYvOlUkvHvNtd4HLKzLCdWb52frivy488KxjAMQ0da+/8/e/cdJmdZr3H8npntvfe+2ZreSQhJgFBCB0EUFFCxn6OoeBRUFBBFLEc8dvCoqEdFAWkhgQQIJKQnpG7Nlmzvvc7uvOePTdZsspvMzM7MZpPv57pyhZmd8jCZfec3z/v87kevHWnQ64VNkzppcSIQ5IUDdQ5NZFrMI2F2t88fP8zO0wsiixq79astFQ5PYs2OD9aHFiTqsqyo08JHrMM2vV3aoucP1E16hwBfL7PDvwuZUQH6wfXuPaHriLKWHv33W2XaXunYIiAvs0k3zIrTx5YmT/g7aRiGylp69WZxszaVNHlsl5w7FibqcyvSz5mgXOuwTc/tr9PT2yodnvRenh6uT1yUesZgvoauAW0satIbRU0e25FhTkKIHroq+5x5H/dbh/XCwXr9eVfVGReFjSc5zE8fXZysa/NjzxikU93ep82lLdp8tEX7azrcPjEbEeCtr142Q5dnR50T9bE0Eir69321+oeDO8TlxwXr7iXJWn2WRWFDNkN7q9r1RlGT3ippdktQ4Alxwb76ztqc03YqmGqd/Va9dKhB/3i/1uGgnQVJofrA3HhdmhV11oWrhmGovmtARQ3dKmjo0ouHGpza6e1MZsYF67vX5jq9KM1VTq1dGpu79N7RVr16pEGbS5vtrpNC/bx04+x43Tov3ulAqNbeQf1ma6X+dbDOJceQ9IgAffOq7DN+Rkyl7oEhHazr1Ps1ndpf06FDdV3j1k1pEf5akx2tNTnRdgc9jfdce6o69Nx+1+2AKI0sULh3WaruXJjo8UC7E8H4f91b45bF2lGBPqNhYEtSwxXgY1FT94B2V7VrT1WH9lS1T+ku3CeYTdKNs+P0qeVpigqceMfZLWUteuz1EocDqs+l7/AAINGICgAAphdqFwAAMJ1QuwDA1DIMQ68cbtATm84eTJMQ6qd5iSGalxiq+YmhSo3wP+vaGcMwNDhsqGdwSINDNkUH+V4w5wCHbYZ+uaVCz+yqmtJxpEX464ZZcbomP1aRZzi3ezLDMFTS1KOt5a3aUtaqQ3WdshkjPSarZkTpU8tSlRw+detOOvqs+ta6QpeuQ3CHlHB/3TYvQZGBPtpe0aptFW1n3NB4Iu4O/jpZS8+gvvriER2sO3uvxgnOrNc918UG++r2+Qm6cXacy3rCKlp79eArBQ71Yvl6mfXQVdm6Mvf0IJqm7gHtq+7Q+zWder+mQ6VNPVMenDNZS1PD9OnlaZrtwJqrwSGbfrmlQn/ZU+3QcwX6WPSdq3O02omgKsMw1NE3pLquftV19Kuuc0B1nf/+u75zwOFQp6mQGu6vTy1P1Zqc6HGPLYZh6B/v1+qnm8scDli5fX6CvrAyw22baBqGoc7+IVV39Gvd4QY9d6DOJSE+7rIwOVQfW5qiJads2tvYNaDH3ih2ag3amuwofePKbLdvuDtkM7Snql1Pbi6bdC+pp0QG+ujGWbGq7RzQ+gL7+uJOdevceH1pdaZHN4I9UNupx14vdssG2O6wKDlU6ZGBet7J37+L0sL16NpchQV4tve6pqNP315XpP0TbE58rsmODtTR5h6nNuxemhqmR67JVUSAfd8BXKW5e0APbyjWdjfU6vEhvqrvHHBpzRPoY5HNMNRndbyenREVqO9em+v0GuvJ2FDQqIc3FJ3zIa8xQT66JDNSyWH++v2OY071oVyUGq5Hr/H88aKytVdf+ddhVTrYm+ppEQHempcYqtzYIL10qN6pNeZZ0YH6wfX5Hv+ebxiG/rq3Rk9uLnN5H9iJisuVDxvq56UAH4tTYZrJYX76/nX5dgc8u4o7X2Np5DVxVX9ZmL+3LsmM1MrcGD31bpmKnQi6umtxkj67Iv200Ht323WsTd94pdClQbknrMyMVO/gkHZXdbjsMb0tJtlshsP1xfzEED1yzdRkCAzbDP1+xzE9va3SqbroTGKCfLR6RpRePdLgVLbLB+bG6+trssZcRwAY4AG/2lSsH7xR4tB9MiID9OQts6Y0DGVo2Ka/76vVb9+rnFTIUV5skFp7rZNO4AzyteiTy1J127yE0xqfm3sG9eArBdpX7diH0D1LkvXZFWlTlkgtSaVNPXp4fZEKHQiJc5f8uGB9eXXGaWmRJ/RZh/XDTaV6+XCDQ497+/wEffnSzCl7ndv7rPr11gq9cMC5huxAH4tWZ0VpTXaUDtZ16e97ayYVshbs66V7l6WM+14uaOjS118ucDgY4IurMnTnwsQpC5Losw7rmZ1V+tPuaqdPws2KD9bVuTFKifDX/+2ucTi05lShfl66d1mqPjA3fszrXNbSowdfKXA4sObSrCg9sjZnyhKph4ZtevFQvZ7adsypIIdQPy9dPytOt8yJV3K4vwzD0M5j7frrnhqXJImnhvvr0xenqXtgSD99u8zhz42IAG89cUP+hMcfT9hR2aZfvFs+6STjqEAf3Tg7TpdkRmp7RateO9Lokgmbq3Kjdd/qTEUF+qiosVsPvHxEVQ5OrHxgbrzuv2zGaV9EPbUgsrK1V799r1KvF00uZT4myEe3zkvQzbPj1T04pBcO1OuVw/UOpSOPx2KSbp2XoHsvStU7R1v0xJulDh3TAn0seuSaXK3MjJzUOCajvc+qp96r1HP7ayf1hdTLbNKNs+N0z5KRIDDDMFTa3KONxc16s7hJFa1TMwmZGRWgx67Nm5JJ7hMMw9DG4mb94t1y1Tj4eX2qxSlh+sRFKaNhRS09g9pU3KyNRY12BZa6g6+XWZ9bkaYPL5i6uqJ7YEj/eL9W/7enRu2TnMCKCvTRHQsTdcvceAX6eMlmGCqo79Lmoy3aXNoyZSc6V2VG6sErszx+UuxktR39+svuar14qH5Si6hSw/1115Jkrc2LGa25bIah92s69EZhk94saZ708dkRJkl3LkrSZy9O8+jJ8/GUNvfo2X01eu1Io0M7MI4nIsBbN86O081zRoKqhm2GKtt6VdTYraKGHhU1dau4sduhEDdnBXhb9LU1M7Q2L2bKjhMnapfC+k49t6daL+ytcTgg6GRm08jk9m3zErT4lIUyp7IZhtp6rarvGtDuY+36/Y5jLtvN5IRzZbcWSarv7Nf+44v99td2OrXgLz0yQGuyo7QmJ1oZkRN/hjf3DOr96g69XzOyo2uJmxcXpkcG6OtrZmhBUpgbn2VEv3VY6wsa9de9NR777PG2mBQd5Ovw/MLZXJUbrc+uSNPuY+16etsxh3bvPZW/t1l3LU7WnYuSxrzXuweG9JO3jjo8/2SS9KVLM/XhBYlOjwkA3IFGVAAAMJ1QuwAAgOmE2gUAzg0Vrb369dYKvVXSLJsxct4uMypQ8xJDND8pVHMTQxUb7DvVw5yWNhQ06tHXiz0akBTgbdGanCjdMCtOcxJCJr02ZGDIprbeQYX5e0/ZGuxTDdsM/W57pZ7admyqh3Kai9Mj9MH5CbooLXxM74VhGDra3Kv3ylu1raJV79d0nnHjeU8Gf51sYMimx14v1mtOhqZ4mpfZpLmJISpq7Fb3wOTW/8yKD9aHJ9jk2BX6rcN6ZEOx3nBwDfY9S5J1/ay40fU479d0nBObx7mCxWzSmuwofXB+4qQ2W9xR2abvvFbk8Pqzu5ck67MXp50xnHLIZuhIfZe2V7RqR2W7Spq6nQoJOVckhPrpU8tSdVVejF2N8YUNXXrwlQKHex5yY4L02HV5SnEySGJo2Kb6rgFVt/eppqNfNe39I3939Kumo2/Sv++ecHF6hD62NPmM/TWGYejFg/X6byf6dxJD/fTYdXmaGRc82aGObl57tLlHR5t7j//do4rWXoc2vZ9KF6WG6+a58VqZETF6DN9e0arHN5Y61S+QFxukx6/PV0Koe/qCB4dsKmvpUUFDt/ZVd2h9QeM5H+SYEOqn6/Jjde3M2NHXpbS5R997vcSh8NATYoJ89L3r8jzSg2YYhl4+3KAfv3l0Uj3WnpAS7q9r8mN0VW6MksL8VdTQrcfeKHaqTy4q0EffvTbXIxtz2wxDm0tb9L03SibdP+Ju4f7eWjkjUpdmRWlxcphaewf1g02l2lLmeG+mr5dZX1yVoVvnxntkTb5hGPrd9mP6zXuVbn8uZ5gkzYwP1iUZkVqREaGs6MDR16W1d1A/evOow7WwNHK8ePz6fIeCYidjW0WrHnyl4JysN1LD/TUvMVRzjwe0J4X5jb7G/dZh/Xprpf66t9rhHvwgX4seXuu5fkrrsE0/2FiqFw/Ve+T5nJUdHagVGRG6OCNSM+OCNWQz9NS2Sv15V5XDPZ8+FpO+tDpTH/DQ8WJwyKYfbCrRS4ccW8vvSSnh/lqZGalVmZGanRAiH2+LIiIC1W8d1o82FOl3W8odro/mJ4bosevyFB3k/nnMtt5BvXCgXr95r8ItAWuuFO7vrYszInRJZqSWpoapvKVX33y10OE6OcjXogfWZI0bVO4OfdZhFTd26xdbKhzOn/GUED8vrf/MRWMyMAgAAzygo6NXbxU16dvrCh1Ko4wJ8tGTH5itGVMQcLCnql1PbCo9J5K/zSbp5jnx+vTyVIWfoUF+yGbol++W60+7Hdt94cqcaD10dY58PdwcPjRs0x93VenpbcfOePLFE2KCfPT5S9J1dV6MXSd4Xj3coMc3ljjUxH5tfoy+eVWOR9NPh2yGnt9fp9+8V+GRRvizsZhNunVuvO5dlqow/4lTo7v6h/To68V6q6TZoce/fX6CvrQ606O7W9kMQ68ebtAvt1RMquHelXwsJn1oQaLuWZKiYL/xd6Totw7rp5vL9Nz+Oocee15iiH5040yFnuHfz9UMw9CbJc365ZYKHXNR6vfS1DC19FhV2jz5XTTiQ3z1yWWpWpsfO/r7Xd3ep4fXF+l9B8NrvMwmPbAmSzfMjpv0uBxxpL5Lv3i3XDuPtXv0ee2VGOqnr62ZoWVpEWOu7x4Y0qMbivWmg8eKi9LC9f3r8sbs2OLuBZH1nf16evsxvXKo3qUpyd4Wk8t2HLgkI0JfWJmhtMiA0euKGrr1Xy8fcSg0wSTpsyvSdM+SZI+GogwN2/TP/XV6alulSz/zvC0mrcqMUnFTt8uOQX5eZt2xKEkLk0L1+MYSh0/qBnhb9N1rc3XJFASt7avu0JOby3S4vsuljzs/MUReFrP2VLW7bNImxM9LN86K06aSZqeCP67Iida3rsr2aPBMe69Vf91brWffr3X5ZHewr5eWpYVrb3WHS2uWcH9vRQR6OxwsKo3U4E/cONMlJ88dUdLUrWd2VeuNwkaXHpNP7FzY2D2oTcVNTu046UozogL1yDU5yor27C4Xg0M2bS1v1bP7aly6S8IJZpOUERmoqva+Kd/98qrcaH19TZbbd4E7VXV7n94ta9X6wiYdceKk/9mkRfjrtnmJSgzzU0PXgBo6+9XQNaD6roGRy10DHtvxKCHEVw9ema2lqeEeeT5ppKbYW92ht0tb9O7RlkmFO40nIzJAa3KitSY7Wt4W00mLCztdVms46rqZsfrCyvQzzjk5q7l7QP/YX6fn99ed84sSziY3Jkj3X5Y5ZsHM4JBN/zpYr9/vODapz9foIB99Znmarp0Zq13H2vTohmI1Ovg54utl1nevyXVqd1UAcDcaUQEAwHRC7QIAAKYTahcAOLe091o1MGxToI/F42sJzmeFDV26/8Ujdm/GHhPko1nxIZoVH6yZ8cHKiAyUSdKwYWjYNvJn6PjfNkP/vs4wFOzrpcRQP4+uRZ9KW8pa9NC6InUNTG2fQaCPRdfPitNt8xLsDrvpGRzS7mMd2lbRqm0Vbart6JfFJM1NDNWHFyR6PPjrZIZh6A87q/TLLRVT8vz2iAz00QfmxOvmufGKCvTRkM3Q4bpOvVfRpm3lrSps6LarUdhski7LitKHFyZNKoDKXoZh6I/HX9vp0ozp52XWysxIFTd1u2zz4YgAb90yJ163zI13WWN2e69Vj71RrLdLWxy635KUMD12bZ7CAv7dX1Lf2a/tFW3aXtmmnZXtU36McYWUcH/duTBRN8yKczjgrntgSI9vLNGGQscCOwK8LXrwiixdlXf25vDewWFtr2zTu0db9H5Nh2o7+s/5JvrxmCRdmhWljy1NVm6s/WuLazv69ciGIu1xcM2ql9mk/1yZ7tCm0dZhmw7WdaqocSTkq6y5R2UtvS7fRNUTIgK8df2sON00O05JYeN//vZbh/W77cf0p93VGnbwTRXi56XvXJ0z6Z6HgSGbSpu6VdjYrYKGbhU1dKu0uWfKe1Ht4edl1uU50bp+ZqzmJ4WOW5vYjJHez5+/W+7w+8hiNuk/L0nXHQtds/G5ddimmvZ+Vbb1qrK1T5Vtvapo7VNla69DPeGeFhHgrStzY7Q2L0Z5sUGnvRZDNkN/31ujX2+tcHhDa7NJ+vTyNN2zNNmltWWfdViH6jp1oLZT+2s6dbCu06n+EYvZ5PDvpjNig311aVaULs2K1NyE0NO+LxmGoY3FzfrRm6VObZx+SUaEHroqZ0w9MVmd/VbVdvSrtuPfIZilTT3aX2v/2vtQPy9977o8bS1v1f/tqXHZ2E4W4G3RRWnhWpERoeXpEYoMPPNa7s2lzXp8Y6nDa5a9zCbdtypDH5yf4NJev97BYR1t7lFJU7dKmnpU2tyjA7WdDtUhqzIjtSglTD9/t9wt/SGXZkXp2vwYzUkIsWut/KG6Tj2yoVjlTmRLfPyiFH1qWarL5xR6BodU3jISMlrW0qtdx9pV0mR/X3SQr0X3rcrQs/tqVezA/Rzl723W0tRwXZw+8n6OmSAM/0h9lx7dUOxUb/ea7Gh940rX9/A0dg3oUH2XDtd16XB9pwrqux0KvQz0seix6/LU0WfV994ocVuv0+z44JHQrxlRSovwH/P7fOr5og37qvXQukK759NOiAjw1nevzdXiFNf28NR39mvfid6Z6k6Vtzr+O7YoJUxX5kTrv98+6vZg6RlRgbokM0KXZEQqPy74tN/rnsEh/fDNo3rVwQ3fJenambH66mWZCvRxzfvYZhiqPf45V9LcM3I8bupWdXu/U3MnscG+auwa8Ni8y49uzNeqGf/ugSEADPCAjo5eDQ4Oq76zXw++UuhQKnWQr0U/unGmR5KSJampe0BPbi5zeGLNXZakhOlLl2Y6FIL2ZkmzHllf5NCX/nmJIfrhjTPPGMrkSqVNPXp4fZEKGx1Pz3YlXy+zProoSXctSXY43KGspUcPvFzgUEjc6hmReuzaPPl4IGxtT1W7fvzWUYcKeXdamRmp/1yZrrSIgLPfWCNf/P++r1ZPbi5zaFJu9YxIPXpNrkd2SNpT1a6fvl025e/jk12dF6PPrUhTfIh9uyS8WdKs724oduikSnpEgH72gVmKs/M5JmNPVbv+551ylwfNuEJkoI8+vjRFN82OG/d3ethm6P/2VOtXWyscDkj48IJEfWFVhlsDA0/shPW77ZXaWOxYgJanWMwm3bU4SR9fmjLh77Szx4rMqAD9982zRn9X3LEgcthmqLylVy8frtc/3689Z3dvyYoO1BdXZUwYrNHZb9W3XytyeDeGNdlReujqHLeHJw0M2bS9ok0/f7fMZSfG3cVskm6YFadPLU8dPeHeOzis/377qP510LHUfZOkL6zK0J0uOllzJsPHd9/6w84qvXPUsRP7UyHEz0t3LkzSB+cnKMjXS72Dw/rFu+V69v1ahx8rKzpQP7pxptt2H5JGJrDeK2/VlrJW7TzWPuWBRvYK8/fWXYuTdOu8BHmbTfrz7mo9ta3S4WOdj8Wkr6/J0vWz3Bd+2Wcd1oGaTu2tbtfuqg4dcOCkzVTz9TLr2vxYzUsK0f+8U+5wqJivl1kPXpGla/Jj3TTCEU3dA9pa1qqt5a3aUdk2LXfoy40JUmP3gMMnHRNCfPWdtbman+S+HbQMw1BRY7feLm3R5tIWl4TYTjc3z4nTl1Znuq2u6LcOa0dlm94qada7Za3nRIC2p4X6eek/LknXDbPjXLJIoaihW/+3t1qvFzZNi4U2ZxIR4K3PrUjTdTPjJjwh228d1nP76/SHnVWTCjqLD/FVXafjoXMRAd76yU0zNTPeM7tzAYCjaEQFAADTCbULAACYTqhdAAAXitbeQT2xqVSbTlnvGuBtUX5ckGbGh2hW3Ejgl6vCcC4U1e19+q+XjkxJz0F6ZIBum5ega/NjFeAzuTUh1mGbhm2GR3oI7PVWSbMeWlfocNCEO82OD9Ht8xN0WXaUvM8QYtTWO6gdle3aVtGq7RVtp62pCvSx6KbZ8bp9QYLdfQuutKWsRd98tfCcDtzJig7ULXPidXVejIJ8vWQYhgobu/XakUZtKGx0KhxjVnywPjg/4fjGg67vSTIMQ3/dW6OfbS5zaHPVuGBffebiNBU1dmt7RZtTjdyTEernpQ/OT1BEgI+e3Vfrsuc3m6QVGZG6bV68lqSGT2pNlWEYeulQvX745lGH1wnfODtO91+aedrxrb6zX++Wterdoy3aXdXu9k09k8L8dPv8RG0ubXb55rCBPhZdNzNWt85NGLOZuSNshqFn99U6FR6yMjNSD12VrdBxeioNw1BlW592HA+121PV7rY1sv7eZt2zJEWGDP15d7XLN5M+YXFKmG6ZE69VMyLtPpaUNvfo+2+UOLUG+54lyfr0xWl290d19lv17tFW7alqV2Fjt8qae1y64fPl2VG6c2GS/ra3Rq8Xuad/eH5iiK6bFafLs6PsDnZo6h7Qj948qjdLHO/vWj0jUg9dlaNgP/tDJJq7B7S9sk2lTb2qbOvVsbY+1bT3ueS19vMy677VGTKZTPrN1gqnPvPseY5Ls6K0Nj9Gi1PC7Xp/1Xb06/GNJdpW0ebw8y1NDdMj1+QqwsmNdhu6BrS/ZqSP4UBtp4obuyf1Wvt6mXXfqgytzIzUD98sdTjA0x7RQT66Nj9Wl2VHKTfm9GC18XT0WfXk5jK97EQYSlSgj76zNsfhTaOr2/u061i7Klv7VNvZPxr6NdkA0pRwf/33zbNGA4rfPdqih9cXuSwML9DHoo8sStKHFyY6HADT1T+kJzeX6cVDjvWhSdKVOdH6xpXZDn//OhEuMxIqcyJgZiRcZjI+cVGKPrU8VWaTSWUtPfrmq4Uu+26aHR2oL1+a6VQ2xeCQTb/bcUx/3FnlcMjeRanhevTaXKeyGgaGbKpoHQn6Otrcq7KWkbDRWifWlp+QEu6vH980U2kRARocsukXW8pdHmi3LC1cdyxM1IKkMLuzE6zDNv1hR5V+t+OYw69xcpifvn9dvnJig5wZrnoGh1RQ361DdZ06XN+lw/VdDvdqnSwpzE8/uWmW0o/XsaVNPfray0dcujn8JRkR+twl6WfMGhnvfFF7z6B+9Fap1h1pdOj5JhuAaRiGKlv7tLemQ+9Xd+j9mg6neiROdveSZH3meE15tLlHX3vpiCpd+BpLUmKonz60IFErMyPt7iV9vbBR399Y4nDtnhjqp+9em6tZTvR/NPcMamtZiwoaRsIXjzb3uGx+5LZ5CfrCynQdquvSd9YXORwg54zLs6P0+PX5o5cJAAM84EQAmCQNDdv083cr9Jc91Xbf39ti0qPX5Ory7Gh3DVFDwzb9fV+tfvtepUOpnO4yOz5EH78oWRenRzgV6lDZ2quvvXxER5vtn7hMCffXk7fMmjC13RWGbIae2Vmlp7ZVTmkDaLCvl26bn6Dbj0/yOqvfOqwfvlmqlw7Z/6V0SUqYfnjjzEmfpBrPsM1QXWe/frmlQm+4aRLKUbPjQ/TZFalOp70eruvUg68UOPQlZVZ8sH5y00y7EpkdYRiGWnqtqmzt1d/21rhlcsRZi1PC9B+XpCs/zv5dLk6o7+zXN18tdCjBPDrIRz+9eZayY5z7kjSejj6rqjv6Vd3Wp+qOPu2r7tCOynaXPb6rhPp56e4lybptXoJdJ4lLm3r00GuOTz4sTR3ZDWe8kwjOGLIZKmnq1r7qDu2v6dT7NR1umUR1lXmJIfr6mixl2hmAeaiuUw+8XKB6B75QRAR46yc3z9LMuGCXLIjsHhjS4bqu0QnZg3Wd5/SJZXuCDE6wHd8x69dbKxxK4c+KDtSPb5rp0pP7bb2Do7tc7K/tVEFDl9tPWLrCJRkR+o+V6cqIHP89vbm0Wd99vcThwIgbZsXq62uyXH4iv7q9Tzsr27Sjsl27q9qnRRBKqJ+X7lyUpNvmJYyb5L+nql2PbChWbYdjE8yhfl56/Pp8LUoJc8k4h2yGDtV2akt5q7aWtU67IJ9QPy99dPHI5+Cp9WxFa68ee71Y79c4fnL39vkJum9VhsM7o42nd3BY+2s7tLeqQ3uqOnSkocsjO9u4UlSgj26bl6Bb5sSP7mTT0WfVDzaVOlXnu/L1lf4dDHjifVx0DgXiOiorOlCfXp6qlZmRau216uH1RQ6f2DVJ+siiJH3m4jSXhT0PDdu0r6ZDm0tb9HZpi0cmTd0t+fgCoGffr3XqZEZKuL8eWZvjsoCjrv4hbSlv0VslLdpW3npOLbZ0Vqifl26aE689Ve06VOdciPKchBA9sCZLM6IdnzC3GYa2lLXqL7urtbfatYu8poLFbNKH5ifq3mUpdu8S1DM4pGf31epPu6o9tnvpqsxIff2KLEWdZdcvAJhKNKICAIDphNoFAABMJ9QuAIALzUjz60h/RHpkgNIiAs66/hFn128d1uMbS/SqnQ2hXmaTsqIDlR8XrPzYYOXEBMlslnoGhtUzOKyewSF1Dw6rZ2Do+OWR/+61DsvL26KsmGAty4xUbrifbNNsXZejihq79ZV/HZ7StT/eFpOuzInWB+cnOtVrYDMMFTd260Btp1p7rcqKDtRFaeEOBxW4WkVrr77yr8MubaqeLD8vs67KjdHNc+OVHztxUMaQzdDOyjatO9Kgt0tbzhhW5GU26crckX+/mU78+zljT1W7Hnyl4JzuNZBGgsfuXJSkG2fHjW4saRiGdla262/7arS1rFXOHGHC/L114+w4fWBuvMsD7kqbe/TgKwUqb3EspCwjMkDfuy5P/UM2vXu0Re8cbfFYcGOon5c+sSxVt86NH12vvr+mQ7/fUaWt5Y5tMH6qrOhA3TovQVfnxrisx66ytVcPry/SQQfXz8UF++qx6/I0JyFEnf1W7TrWrm0VbdpR0eZQj4qzrp0Zq8+vSBsNMu3st+ovu6v11701LgkcSw7z09r8WK3Ni3G6b9RmGPrXgTr9z7vlDgccLEgK1WPX5ipqgqDW9l6r3i5t1qaSZu061u6Wdd8xQT76r8uztGpG5Oh1h+s69eTmMu1zYu37qSICvHXdzFjdODt+NDDIGZtLW/TEphI1OhhEkhjqpx9cf+YwlIauAb1V0qw3i5v0fk2nU8fIs5kZF6yH1+YoNWIkBKV7YEh/2Fmlv+6pdnij8fHMig/WjbPidEVutFO1iGEYer2wST9+66jaHOzdiQr00XevzbUrTKi9z6odFW3aWt6qvdUdLq0Fc2KC9N1rcscEJr5Z0qwnNpWqpcf5AJsTUsL9dffiZF2dF+P0uvidlW363hslqnGwd0eSProoSZ9dkXbGHqnq9j5tLGrSpuJmFbqhj2F+UqieuCH/tACnhq4BfevVgkkdM3y9zLp9fqI+ujjJqYCok+2sbNNjb5Q43COVFuGvH9yQP2F/2wkDQ7bRDba3lLVOaoPkU/l5mfXtq3O0JmdsZsTAkE2/eLdcf93rfEBVRIC3Pr8iXdfOjJ30fEFRY7ce3VDscL9MfIivfnBDvvJiz16/t/UOamNxs94oatKBmg6Xhl4uSQnT96/PU4jf2PfatopWfee1oknX+ysyInTvRSmT6u8oaRp5jQsaHHuNvS0mfXl1pj4wN/6sGRyGYaikqUebSpr17tEWlTb1uOwzcFFKmL5/Xd5pv8/dA0P67uvFpwXZO2p2fLD+c2WG5ieFnvW2ZzpftLGoSY9vLHE4xHB5ergeXmtfoF2/dVjvlbdqU/FIPefo5+xEAn0s+s7VOVqdFTXm+p7BIX13Q7E2TvI1lkY+4+9dlqIbZ8U51XdX39mvh9YVOvz5YDFJn1yeqnuWpNjV373rWLue31+nzUdbXF4vh/p56aGrc7Qy89+1clf/kH74ZqleK3AsQM5RPhaT1n9m2WiYLQFggAecHAB2wubSZj28vtjuZjiTpK9cmqnbFyQ6PY5hm6Gm7gHVdQ6orrN/5E/HgGo7+1XR2juphE5XWZkZqbsWJ2lu4tk/jM+mzzqs779R4tCBNczfWz++aabmJNhfcBmGoYEhm/qsw+qz2tRrHVbf4LB6rcPqtw6fdNmm1wsbHS7EXCkq0Ed3LEzULXPjXXrC4cWDdfr+GyV2F9ez44P101tmnVY4j8c6bFNBQ7cqW3vV0T+kzn6rOvuHjv85+b+HPNZcao9Z8cH61PJUXZQa7lSI3ck6+616ZH2xNh+1P3ArKcxPT94y26lJs+6BIR1r6zv+p/ek/+4758J8VmRE6GNLUxz6nR3PkM3Q09sq9b/bj9n95SXQx6If3pjvULhbe59VFS29qu7oU1X7ibCvflW3953z4TJBvhZ9eEGi7liYZHfz9wmDQzY9ta1Sz+yqcig8KTnMTz8+Kf3ZEf3WYR2u79K+4wnJB2u7zomAy7MJ9fPSf65M1/Wz4hxOh27vs+o7rxU5dCLJ18usR67J1RW5MQ4tiDQMQzUd/aNhXwdqO1365d+d/LzMumNhou5akuzwZ+GOyjZ989VChybtwvy99fj1eU4l5p9I+95f2zEa+HUunai3R35csL6wMt2u///mnkE9uqFI75U7FjwzPylUT1yfPxoS5IyOPqt2V7Vrx/HQL0cngKfSieCvD85POOt7undwWL94t1zPvl/r0HNYTNJ9qzN1+/wEp+qa9l6r3qsYCUraXtl2zn/mjcfe19lmGHp+f53+551yhz935ieF6vHr8xwO6O2zDmtf9UjY197qdhXUd7l00tuTcmKCdMfCRF2RM/EOfRsKGvX4Jsd3B5iXGKLvX5/vdEBMV/+Qtle2aWtZi94rb3PZZOxUSY8I0KeWp+qy7KgxNYfNMPT3fbX6n3fKHA6YnBEVqIfX5jgdkttnHda2ijZtLh05STYdjxXjCfK16N6LUvXB+QnytpjVbx3W09uP6c+7qhz+XbWYpE8sS9XHlqbYvRvcydp6B/VWSbPeKmnRrir3LBKZCqnh/rpjUZKuyYuRn7dldKHNz9+tcGqewGKSPrQgSZ9anmrXwqrBIZteK2jQn3dXq6J1etVqE1meHq4vrc5UWoRzO0p29Q/pL3uq9X97qt2242OQr0VfvWyG1ubFTHreBQDcjUZUAAAwnVC7AACA6YTaBQAAuIphGHrxYL1+/V7lmOAAs0nKiAxUXmzQSOBXXLBmRAU6FQZwodYuzT2D+uqLh53ezM1ZiaF+umFWnG6aE+fwmrzpoqt/SN9aVzjpEKLJyooO1C1z4nV1XozDfQY9g0N6u6RFrxU0aNex9tFeg+ggH90yJ143z4lX5BRsCtfYNaCvv1ygg3WTD8VxtRlRgbprSZKuyI4+Y3N2VVufnn2/Vi8fqrerD2hWfLBum5egy7Oj5euijUDH02cd1o/eLNVLhxrc9hyu4GMx6UMLEnXPkpTRRuxTFTV06/c7j+nN4ma7+yi8zCZdnh2l2+YlaE5CiFvWPQ3ZDD21rVK/d6A/ShpZN5cdE6Sixm6H+n4mY25CiL58aeaEAY1tvYP6485q/XN/7RnDAscT4uelK3KidU1+rGbHB7vstW7uHtBP3i5zeEPjiABvfe+6f/eVNPcM6u2SZr1Z0qy9Ve1uW/ttknTrvAR9bkXauMdowzD0ztEW/eydcod7VUySLkoL101z4rUyI8JlGzX3DA7p11sr9fe9NQ69h30sJn3lshm6eXbc6L93bUe/3ixp1pvFzW49pltM0scvStHHl6aM+zrUdvTr5++WO7URdrCvl67Jj9GNs+OUFe3cGu1TdfRZ9bN3yhw+FptN0qeXp+mepcmnrT8vbuzW1vJWbS1r0+H6TpcfR0ySPrp4ZMPq8foMOvut+p93yvWvg/VOPX5+XLDuXpKsVZmRLglZ7rcO66ltlfrL7mqHf79zY4L03WtzR4PkpJHP9Y3FI6Ff7ty8fG1ejL55ZfaE33ec6cGVRj7/bpkTr48tTZ4wDNEZfdZh/WpLhf7m4PHC39usb1yRravyYsZc3z0wpPfKW/VWSbPeK29zSy9qXLCvfnTTTOWcoefivfJWPbzesYAqb4tJdyxM0seWOt4veSZDwzb9aXe1ntpW6VB/iY/FpK9dnqUbZsed9rOu/iG9VdqsNwqbtOtYm1s+A2+bl6Avr86Y8LOptXdQj6wvduq71KrMSH1iWYpdAWf2GLIZ+svuav32vQqHwyLXZEfrG1dmnfYZbxiGChu7tal4JPiyqt31fZK3zo3XVy7NnPA1NgxDf9tXqyc3lznct5Ia7q/PX5Ku1TMi7a7hzjbn0tQ9oEc2FGt7hWN9q3HBvvr+9XmaNU7QW791WFvLW7WxqFlby1tc3jeRERmgJ27IH/N5cDLDMPTXvTX62TvlTvUGhfh56e7Fyfrg/AT5eU8ukHjYZuiPO6v02/cqHP6dnpcYokeuyR03gLq9z6pXDjfohQN1buurXpwSpofX5oyGEZ/qjeMBcs72uHlbTGc9fn7jiizdNCdeEgFggEeMFwAmjSTt3vf8IVU6cMC5a3Gy/uOStDN+YA0M2VTY0KVDdV062tyjus5+1XYOqKFr4Jxs7vS2mHRNfqw+sjBpTPKyK5z48Prp22V2F/C+XmY9sjZHl2VHj/vz1t5BHazt0sG6Th2q61RhQ7fbQpHMJiktIkBlDu5ucKqUcH99dFGSrsmPdTp5+mzeLmnWg68W2F3EZ0UH6mcfmH1aA/6wzVBxU7d2H2vXrmPter+mw23Nou6QFxukTy9P0/L0yQd/ncwwRiZgn9p2zO77nC3Qbthm6FhbnwoaunSkvkvFTT2qbO0953cqMUm6LDtKH1uScsZkfmdsr2jV114qsPvLuZfZpO9cnXPal/0TugeGtK+6Q7uOv59Lmz2zy4grJYb66cMLEnXdrNhJf/nfX9Oh76wvUrUDXxgDfSz67rW5WpERecbbdfRZ9X5Np/bXjAR+FTR0a8jFn3kxQT5amx+rd0pbVN46uePyqeYlhmhtfqyucnIXhhNshqFndlbpV1sr7J4sNUn6wqoM3Xd17uhxa7xFBe19Vm2vaNN75a3aUdnmlmOFt8WkG2fFqb5rQFvKXHsyOj0iQDfPjde1+TF2BVBOpL6zXw+8UuDQQgSL2aT7L7UvVb25e0Bby1u1paxV+6o7HE4WP5sTISSz4oP1u+3HtM3BSQt7JYX56fMr0nV5dpRDn4eGYeif++v05OYyh07SJYb66Sc3zzzrDgwn2AxDh+q69O7RFu2obFNhQ7dLA+xmxgXrrsVJ2ny0RRsKGt0yGRnm7607FybqNjuCv061p6pdj24odnhHketmxurra7LsOrFf39k/MlFY0qyDta7fIScy0Ed3LkxUZ/+Q/vF+rdvq8RA/L925cCT4y5GFKfWd/fr+xhKHA+1ig331xA35Z91pcNhmaPexdr1ypEFvlTQ7fFLbXvEhvpqbGKpNxU0Oh0HZyyTpksxI3bEwUQuSQu06ZtR39uvhDcXafazdoeeKCvTRD27Itzs81jAMHajt1F/21OgdN+wQII2c2Lg0K0qVrX1u2YHnVCnh/rp3WYquzIk548nJ4sZuffPVQodrHi+zSZ9enqqPLk626+SnYRg6Ut+l5w/UaUNhk9vey75eZnmZTR4NNDabpFvmxOtTy1MVPs4iwoKGLj26odipnQhnxwfrkWty7d6J7kh9l57dV6PXi9z3uzwVFqeE6c6FSVqWHj5ueG5r76Ce3FymdXbu0HuqmCAf3X/ZjAlPHHX1D+m5/bX6275al+wadiqLSYoI9FFUoI+ig3wVFeijED8vHa7v0t7qDpcfk/y9zVqUHKYPzk/QRWkRLnnM5u4B/ea9Sr10qN6lizmWpYXrm1dmKybYdYsAAMCdLtRmDgAAMD1RuwAAgOmE2gUAALjawJBNu4+1a3DYpnB/b+XEBsl/kk2QJ1zItcvAkE2PbijShkL7Qy9MkmZEB2pBUqjmJ4VqRlSgzCaTbIYxsh7RkAxJhoyRNQnGyH8bxkh41Hjrdc5HwzZDv9paoT/urPLI8/l6mRUb7KuYYF/lxgRpTXaU8uNcE6zT1T+k8tZehfh5KTXcf8o3hLMO2/Tfb5fpHw5uuusuC5JCddeSZC1Pc6xXqWdwSK8catCz79ee1jDt62XWlTnRum1+gssCDOy17kiDHt9Yck72i63Ni9FnV6SN24A+nvKWXv1h57EzrhmPDfbVLXPidePsOI+F2u2oaNNDrxWekz1iccG++s+V6boiJ9qu93Nj14B+v+OY/nWw/ox9Ql5mk1ZkROia/FhdnB7hth5KSdpY1KTvvl7s0LpUs0m6eU68ylp69X51h8vX158qPTJA37giS3MTQ89626Fhm144WK+n3qs86ybJscG+umFWrG6YFac4O39PnHGwtlPfeLVAdZ0DDt1vbV6MMqMCtam4SQUN7l+bnRzmp0euyR03GORUB2o79d9vH7WrH2lhcqhunB2nS2dETTqUYyK7j7XrkQ1FDr/GF6WG66uXzxgN/dpW0eaWdbQnxAT56OG1uVqUEnbW2+4+1q7vvVFsd9jN0tQw3b0kWYuSw9xSexQ2dOm7r5c4HNrl52XWf1ySrl7rsDYWNanYifXmjvrU8lTde1GKXa/DrmNt+ta6orP+u5tN0rX5sbp3WaoSQt13vDhQ26lvvVqgWgffy7fNS9A9S5K1raJVb5W0aOexNreutZ+fGKLHb8i3K6DYkYCqy7Oj9J8r05UYal9vgTPKW3r17dcKHT6u3jQ7TvdfNkM2w9C7R1v0emGT3qtoddvrbDFJ9182Q7fOSzjrbQ3D0LP7avWzd8rsCt66NCtKn7go5YzhbZNR0dKrRzYUOxxYmRTmp8evy1dWTKAO13VpU3Gz3ippcvj3wV4Wk/SVy2boNjteY2mkp/zBVwrU2H32z4nIQB99anmqbpgVJy8HwxjtmXNxtm/Vy2zSfasy9MH5CeofsmlrWas2FTdpS1mr+t3UA3VVbrS+cWW2XXNS71d36IFXCtRs52exn5dZdyxM1EcWJU8YduysQ3Wd+ta6QocyBKSRnucH1mTpytyY0V6+5/bXaVNxk8PBePaymE363MVp+sjipHH7kU7W2DWgRzcUa3ul/X2iKeH+umtxkhYkhemW/911xtsuSArVb26fOzIuAsAA95soAEyS2nut+vK/DumgAyES1+SPpOh6W8wyDEN1nQM6WNt5PJCqS0WNrg89OdWlWVH64qp0tfRYtaWsRe8ebXU42CbY10u3zovXB+cnnhYC5WpvlTTrW+sK7f5ANkn6z5Xp+vCCRBU39ehQXacO1I68vo4GJTgrPSJA3746WzPjQ9TUPaCtZa3aejx0xd4JztyYIN29JFmXZkW5JHn6bHZWtun+Fw/bPb7kMD/9/NY56h8aHg382lPVoa4B14adTMRiNun2+Qn6wNwEba9o1YbCJh2odS7NPS82SJ9clqoVGRFuPdHw0qF6fe+NErsbfX29zHr0mlytmhGp6vZ+FdR36UhDlwoaulXU0O2WFOpTrZ4Rqf9cmaG23kGtL2jUxuJmtZ9lMnA8FpN0VV6M7lmSonQXhwWerKihW1984ZBDE09fWJmujyxKknV4pLDcVdWuXZXtOlLf6bZdGE42IypQ/7EyXVEBPvrn/lqtL2ic9BeH+UmhumNBoi5xUXL9Cb2Dw3rs9WK97sCuBSZJn78kXXctThr9/arv7Ne+mg69X92p92s6Jh2UeCahfl66Z2mKbpuXIF+vkc/efTUden5/nd4saXZ6wiEl3F/X5Mfo6rwYl0+w7Khs09deOuLQyYQPL0nWIzfOkrfFrNbWHlmHhlXYcHwytrxVh+q63HaCwWySrp8Zp3uXpYyeAKhs7dWz+2r18uF6p0/s+VhMujw7WrfMidfcRNftkOPsCd2b58Tpq5fNGLPbhM0wVNDQrS1HW7S1vNVtJxjMJumm2fH6zMVjQ0gO1HbqqfcqHfryOZFAH4tWzYjUZVnRujgjwuGJlpOVt/TqoXWFDoXhBPpY9L3r8rQ8ffzACuN46NeJXS8aulw/kTVe8Fl1e5/+sKNKrxxpmHRQh6+XWSszI3VFTrSWp0dMaoetPuuwfv5OuZ518H08My5YT9yQP27gRnP3gDYVN+uNoibtd7KmOpv4EF99dHGybpgVN/r/3z0wpOf21+n/9lS75CS1xWzSgqRQXZoVpbVO7Eh3gmEYWl/YqB+/edShMD8fi0kPXpGta2fGnvazo809WnekQa8VNKrJjslPZ526Q1xz94D+b0+Nnttf57L6MTXcf3RnreRwxz8HbYahv+2t0S/eLXdoMs/LbNL9l2XqljkThzIO2Qy9VdKs/9tT7badJ2OCfHTrvATdNDtO4QE+o0FY/9xfpzeKXB+ElRDiq08sS9U1+bF2H5/7rcP66eYyPbe/zuHnm5sQou+szZkwoKpncEgbChr13P46t56QXJAUqmtnxury7CiZTSa9VtCoZ/fV6Giz+2pHaeTE9hdXZ2hG1JknXZ3dEUeSArwt+sqlmbp+Vuy472XrsE1vFjfr7/tqHJpzmgx7dqaYLC+zSVflRuuOhUnKtvPk2Z6qdj2+sUQVrc7t+LEiI0JfvWzG6Inn+s5+/XVvjf51oN4lx0SL2aQrcqK1IClU0UE+ig70VWSQj8L9vSf8LtY9MKSdlW3acnyuyJnPP18vs+YmhGhRSpgWJocpPzbIZTvwnaq0uUf/806Zw8GYpwr0sei+VRm68aQd+gBgOriQmzkAAMD0Q+0CAACmE2oXAAAwnVzotYthGPrDzir9eoJNji0mKS8uWPMTRwK/5iaGTGrD3wvNhoJGPfp68aTWnZlNUnyIn2KCfRU73p8gX4X6e11wazbWHWnQ994ocdvmlmcS7OulZWnh+tCCRM22c+PTidgMQ7uOtY9sUN1nVW5skFbNiFKY/9T9nlW29urBVwo8Empij0UpYfriynTlOhmGVt3epz/tqtZbJc1q67PK18us+Ymh+sDceK3IjJzU2npnNfcM6lvrCh3ecNdd/LzMuntJsj6yKMmpQKPajn79bnulXj3cMKZXa3Z8sK7Jj9WanGiPvqcrW3v1wCsFTm0E607eFpM+vjRFdy9JHtO7Yo/ugSH9aVeV/rKnZsxx70S42k1z4nVRarhH+lQlqaPPqu+sL9KWsrMH4EyFm+fE6b5VmQrwsf/9bBiGXi9s0s/fLVf9KT0tEQHeum5mrG6cHa8UJ9bXO6Oz36pH1hdr89EWjzyfo9ZkR+uBK2Y4VBf2W4f19PZj+vOuqnH7Ok2SLs+O1l1LkjwSgGkdtunXWyv0p13Vbg/+c4a3xaSHrsrR1XkxDt2vtXdQ336tSNsrxl8bvCY7Wp9enqo0N/YBn2w6HC9O7Sk8G8Mw9I/3a/Xk5vEDqnJigvTlSzO0ICnMhSOd2OCQTT9+66ieP+BYf0lSmJ+auwfdFpR0Qoiflx6/Pk+LU8Idul9JU7e+8WqhysfpTz5xvPjERSmaEe3+QJ4hm6Gnt1Xqf7cfc+h44W0xKdzf266Qrclw9jVu6x3UN18t1M4JatJAH4vuWpysDy9MdDqE3ZE5l9KmHn3t5SOnBSSfTW5MkMpbe9363dByPGzs9vkJDn33bu4Z1DdfLdCeqo4Jb+NlNukDc+P1saUpbg0l7hkc0o/ePKpXDjc4fN/Vx7MwHM2scVRymJ8evTZPM+PsrwNshqF/vl+rn71Tfsb3QF5skO5ZkqxVM/6d7fKZZ/ef8d9Gkl7+5BLFhfgRAAZ4wpkCwKSRLxQPvFLgUGE5//hk9sG6To8msaeE++v+yzK1LO30YIW6zn5tKWvVlrKW47uejP/rHRfsqw8vTNSNs+MU6OPaZMgzOVTXqS+/cPisKeQn80Tz6qnMJukji5L1qeWp44Y6DA7ZtLe6fbTJc7wUzEUpYbpncbKWpLonefpMDtZ26ovPH7I7xMts0rgncNxtSUqYvnJZpjIix34I1nX26/XCJm0obLRrAi4nZiT4a2Wme4O/Tra9olVfe6nA7kZjk6RAX4u6B9wf9nWynJggfWl1hhYmh425fmjYpu2VbVpf0KjNpS1n/eLmZTbpupmxuntJ8oQBAq5W29GvLzx3UJUOFPCeKN5PFRfsq89cnKar82LGTJ52Dwxp3ZEG/XN/3bhfPCdiMZt0ZU60Prww0a0TWCdO4P5yS4VD91s9I1K+Xma9X9PpluCeU51IMv7o4uQJw1/aegf1yuEGPX+gzq5U4nB/b12ZG621+bHKjw1y63HjaHOPvvTCIYd2YlgxI0q3LUrSGwfr9J6TQQKOWpMdrU9fnKq0iPEn9LoHhvTSoXr9fV+tau0M4UwN99ctc+N1TX6sW0/gvHSwXt/fWOJQ8Oq8xBA9dFWOSpp7RkO/3P06L0oJ05dXZygreuKQjP01Hfrte5UTTqRMJNjXS6tmROry7CgtSQl36S451mGbntxcpr/vsz+gymySvrQ6c3SS40SgzhtFzdpU3HTaCRJXCfXz0r3LUvWBufETTsbWdfbrjzur9NKheofqS2+LSRenR+iKnGityIh06OSQPXYfa9c3Xi1w6H0YGeijH1yfp7mJoWrtHdSbxc3aWNykvVXu24koNdxf9yxN1tW5MROGk/Rbh/XqkQY9s6va7uPFCYE+Fi1Li9CqGZFanh7u0oVDrb2DenRDscMnEm6fn6D7VmWoa2BIGwqb9OrhBodC8ZwxPzFEdy9J0fL08XeI6+y36p/v1+mve2ucCnRNDPXTFTnRuiInWlnRgS75HDza3KOH1hU6vADk+pmx+tqarDHfuXoGh/TiwXr9fW+N23a7mJ8Yog/OT9TqGZETvpc7+qx69UiDnttf5/CE8gk+FpNmRAcpJyZQy9IitCIjwuGT+CdsLm3WoxuKHQqykyR/b7O+tDpTN50U1FPU0K3nD9RpfUGj28KIk8L8dE1+rK7JHz9k1TAM7a3u0D/er9XbJc0uDexNDffXl1ZnTvg7NJHyll496sRuLdJIjfyNK7IVFjBy3GruGdQL++v03IE6t+6mdWKX1bkJIZqXOLLoMirQRzuPtWtTcZPeLm1Rp4PvmYmYTVJWdJBWZkbo5jnxig46PYTybKzDNv15d7V+t/2YU9/ZfL3Mumtxkqrb+/V6UdOkQz2lkfrhA3Pjdeu8BKf+n06wGcZIcG9Zq7aUt+pI/fiBb75eZs1OCNHCpFAtSg5TflywW3c4HM+OijY9+U6ZUwueFqWE6aGrsu3eWRMAziUXejMHAACYXqhdAADAdELtAgAAphNqlxGVrb36065q1Xf1y8tsVm5skOYnhWp2fIjL10deaAobunT/i0fsXmfvYzFpZnyI5ieGjPwbJIR4tMdrOilu7NZ/vXRENQ6uTT0bf2+z4kL8lBDip7gQ39G/40P8FB/qp4gAb5nP88C1gaGR9eKObsztKsG+XlqSGqYbZsVpWZpj6/4mYhiGGrsHFRnoMyWhX6cathn6/Y5jempb5ZT070kja+Wuyo3R3UuSx92E2lFd/UPaU9UuL4tJmVGBU7qmrN86rCc2leplJwIO3GFBUqgeWJM16cCd7sFhHWjqUVlTjzKiA5UX4a/wKQoMtBmG/rSrWr/aUu7SNb+TEe7vrW9ela2VmZFOP8bAkE3bK9q061ibQv28lRMbpOVp4W7byPVMDMPQ3/bV6mebyxzqj3KnAG+L/uvyGbomP8bpY3NRY7d+8W65th0PqAr0seiKnGh9dHGyxwLWTrazsk3ffq1IzW5c3+2oUD8v/fimmZqbGOrU/W2GoZcO1uuZXVWqau9XgLdFy9MjdM+SZOXE2rfRsyvZDEN/PEPo8FSwmKSvXDZDt86deAP7sylr6dHT247prZJmDdkMzYwL1i1z43VtfqzHAhlP9tKhev1gY8mEGRJTITXcXz+5eZbTv9v91mH9aVe1/r6vRh39QwrytWhlZqTuWpyszLNsCu8OOyra9K11hQ7lYbhbWoS/fnLTLCU7+RoP2wz9aVeV/rirajTrwM/LrJvmxOsTS1NG+2Gc5eicS/fAkB57vVgbi5sn9byuFB3ko+9fl+f0MXnIZuhXW8r1593VY46BZpO0Nj9Wn1qWqoRQz9XNrxc26vsbSzyebXE2186M1Vcvy3R6/qOipVcPbyjSobqxfTuLU8J095JkLUk5PdvlxYN1+u7rJWd83M+vSNM9S1MIAAM84WwBYNLIQfUHG0v0r4P1HhqVY3y9zPrERSm6c2GSXc2BvYPD2nWsTe+Wtepgbac6+oeUGxOkq/NitCY7akq+iEojafr3PX/IoVAfT0qL8Ne3r87RrHj7dmYwDEOVbX3aUdGm2s5+hfh5aUV65JR8OTpZSVO3/uOfBz0aTmevhBBffWl1plbNiDzrF6byll5tKGzU64WNqjol2CcrOlCfWpZq1+O4Q1Fjt+57/tA59YX/hKhAH31uRZqunRl71pMNvYPD2ny0WesLGrWjom3MRJyvl1k3zY7TRxYlKW4KJmPb+6z68guHnWrCd7dQPy99bGmKbp2XMG5Q4AmGYej9mk49t79Wm4qbJ5yEC/Hz0i1z4nXbvASXTKbba3Npix5aV+i28AdnWcwm3Tw7Tp9YlqooO5OMbYahXZXteu5And4pbT7tvbwyM1LX5MfoolTPTsa29Azq/hcPn/Zl4lywPD1cn704ze4dcoZthraUtehve2u0e5y0Y2+LSZdlRenmOfFakBTqsWPz/poO/ddLR87Jz7ykMD/dtypDKzPt/6x6v7pDv9lWecZdfkL9vLR6RpQuz4nSouQwpwNl7PX8/lo98eZRh4I2bpwVpxA/L20qbnJbiI808vv9oQWJumfJxEGBp2roGtCfdlXpXwfrJwwgsZhNWpoapitzYrRqRqTdj+2shq4BffXFwyposD9cysts0uyEEB2o6XDribTs6EB9bGmKLs2KsntieshmaFNRk/64q+qMASMxQT66JDNSq2ZEamFSmFtDUGyGoafeq9TT2485dL/EUD/Vdw24JGjmTEYmppPsniTstw7rxYP1+vPu6rMG68UF+2rN8dCvPDeFX57YFeeZXdUO3S8vNkhP3JAvk8mkv++t0QsH69wysejrZdZVudH64PxE5cTY/13txI57z+0/vb44WZCvRdnRQcqJ+feftAh/l9YcjV0D+vb6Iqd2gVuREaGVmZF68WC9Dk8QTDRZQT4WrcmJ1nUzYzUnIcTu91l9Z79eOFCnFw7UO31yxM/LrFkJIbrq+PM7+7oP20Z2g/jFlnL1WR1b3BkZ6KPPLE/VnuoObSxqcsvJd18vs2bFB2tuYqjmJoRoTkLIGT+frMM27TzWro1FTXq7tNmh3y1vi0kz44I17/iOrmd7LkdUt/fpR28e1dbyqdvdKT0iQB9amKhr8mKc2sXwbFp6BrWtolX7azrVOzistIgALUgO1az4kDN+f/SUYZuhdUca9KutFWqyY5chPy+zvrAqQx+YG3/eL2gEcP6imQMAAEwn1C4AAGA6oXYBAADTCbULPKG1d1APrSvUjsr2034W6GPR3MSRzf7mJ4ZOyeZx01lnv1UPrStyet1RQoivLkqL0MLkUCWH+ys+xE+hfl5T0o90LnqzuEmPvl7s8jWcFpMUG+KnxNCT/oT5KzHUT0lhfi7dMPhct6eqXd9aV2jXmi1neZlNSo8MUEZkgDKjAo//CVB8iN95v/brpYP1euLNUqc2KJ2MiABv5cYGKTcmSKuzopRnZ3/O2ZyLdcve6nZ945XCKe2lDPK16Nr8WH38ohRFBNjXbzadHK7r1AOvFKjOjT04ZxPm7621eTG6Y2Giy/pJO/qs6uwfUnyI75T1tZ/Q3mvVo68X652jLVM6DkmaHR+sh9fmOh3mcyrr8WOEu3vM7LGzsk3ffHXqw5MyowL09cuzNC/JuTCfUxmGoSGbcU68xoUNXfraS0fc2rNnrytyovXAmiwF+02+38AwDPUMDsvP2zLlQa5N3QP65quF2lt9eh+tJ0UH+ejOhUm6ZW68/F3Q+9A9MKTSph4NDts0JyHEZf0UztQuhmHo2X21+ukUBmBazCblxwbpytwY3TQ7ziWvR0VLr148VK+m7gGlRwZoTXa0UiMmFw7rrPrOfj30WpH2TfH7OCbIRwuSw/TBeQmanWBfhsuZGMf7/QobumUxm3RRWvgZwwK7+od09a+3nTE4MT0yQH+/e6G8vCwEgAHuZk8AmDTyy/70tmP67bZKD4zKfpdlRelLqzOmJIDHHTr6rPqvl45MedFzMrNJ+siiJH1qedo50YzpClVtffr8Pw9M6Rf+k/l6mfWxpcm6c2GSwwWQYRgqauxWUWO3ugaGNT8pVHmxQVM++Vjf2a8vPn9IZS29UzqOE3y9zProoiR9dHGyU7vvtPYOaldlu2o6+pUU5qclqeEKm6LdAU7otw7rW+sK9Xbp1E+qSCOv8YcXJOquxckOfyFt7R3USwfrte5Io8pbe2U2SVnRQbppdpyunRnrki9fzjja3KOv/Ouwy3fDcdZVudH6zMVpSgpzfvKqqXtAe6o6VNfZr9SIAC1JCXN7eM+Z9FuH9fD6onMmjXpeYog+tyJd8ycxeVXS1K31BY060tCtUD8vzUkI0dq8GIVP0QS6M+FJ7hToY9EnLkrR7fMTnT4xv7e6XX/aVa1dx9o1MGRTVKCPLsmM0OXZ0VqYFOrxSe9dx9r09ZcL1Nk/5NHnnYhJI2nfn16e6nSN3NwzqL/srtYbRU1q6BqQj8WkOYmhujInWpdmRXn8M7DfOqzvbyzRuiONHn3eicxPDNHdS1K0PN353bQMw9B7FW16dl+N9lZ1yGYYSo0IGAn9yox0WxjVmbxd0qzvrC9Sjx3fD93Ny2zSVXkxumtxkjIinZsYGhq2aUPhSNha+Uk1aXSQjy7PHgn9mh0f7LHX+a2SZj3s4Osb6GNR/5DNLSFrGZEBWpsXo5tmx096N4rGrgGtL2jUgdpOWcwmpUX4KycmSNkxQUoM9fPIa2wzDP3fnhr9cku5rOfAbi2BPhatzonR1bPitDAuSN6TOMEyOGTTxuIm/eP92jHBqRazSTFBPooN9j3+Z2SHxdhgX8Udvy7ExYuwqtv79J3XirS/duqDiFPC/bV6RpRWZkZoZlyw05//1mGbdlS2aWNxszaPEwYW4G3RnISRnUTnJYVoZpx7g6oMw9BbpS368ZulanTjYqZTXZQWrjsWJuqiVNfsFDnd9VuH9Zc91XpmZ/WEodDzE0P00NU5k/p+BgDngnNxUSQAAMBEqF0AAMB0Qu0CAACmE2oXeNLe6na9UzoSVBUb4qsFiaGaER1o90asGJ/NMPS7bcf01LZKnW0FnZ+XWYtSwnRRarguSgtXSrg/a4bOoqajT994pXBSG43OjAvWJZkRmhUXosQwP8UFT33Yy7mkrXdQ336tSNsq2ib9WImhfsqKDhwN+poRFajkML8L+vUubuzW118+oqp29/RHRQf5KDcmaCTwKzZYuTFBig7yccux5VytW1p6BvXNdYVObWjsCF8vs1LC/ZUa7q+UiAClhvsrNSJAmZEBbtn49VzS2W/VI+uLtdlDAVXpEQGakxCiOYkhmpsQckF8XhqGoef21+mnm8s8Ehro721WYqi/EkL9Rv/Mjg9WflzwlPdHu1Nj14AeeKVABzy0Jj8myEdZ0UGaER2o7OhAZccEKfU8fz+391n1rXWF2u6CusJekYE+yjweNJoRGaCFyWEuC7E7Fw3ZDD29rVL/u/3YWb9/uIKPxaScmCDNjA/RzLhgzYoP9li/0mRNpnY5VNepr79coIYu9+dh+HmZNSshRAsSR3pnZsWHTFlvv6cM2ww9s6tKv9laIXe3ovl6mZURGaCs6EDNiA5S9vHvK1OdVSFJX3/5iDadpcf/zx9ZoPyEEALAAHezNwDshBcO1OnxjSWaorDIUSnh/rr/skwtS4uY2oG4weCQTd99vVivFUx9wEFahL8euirHJYmR55qGrgH9xz8PqKK1b0rHcUVOtL6wMv28CbE7WVf/kP7rpcPaXTW1gXZr82L0uRVp5+VrPGwz9KM3S/XP/XVTNgazSbp+Vpw+tSxVMcG+k368nsGRAJ1An6kLpTpZe59VD7x8ZMrex0G+Fl2SEak7FyUpJyZoSsbgbjbD0K+2VOgPO6um5PnD/b21MDlMN8yOPW8DD/qtw3rsjRKtn8LaIinMT2uyo/WhBYmKDHRNGNrAkE02wzgnJhKOtfXpSy8c0rG2qasrYoJ8tCIjUrfNS9CMaNd8kTYMQx19Qwrx95ryyXPDMPTXvTV6cnOZx7+L+HqZtTglTCsyInRxeoTLa4ohmyGLSefE8ae8pVf3v3h4St7LM6ICtSApVAuTQ7UoJcxlO5cZhqGq9n5VtvYqPtRPGZEBU/Z+rmjp1VdfOjwl30F8LCYtSgnTxemRWpERoYTQ8682lqTS5h59e12hipt6PP7cEQHeWjUjUpdlR+uKuYmjJ9FdubCguWdQ7b1Whfh5KTLQZ0oWvQ3ZDD2zs0q/3VbplnC6MxnZBS5Sl2ZFKT0iwOXHzcEhm/ZUt6u0qUeBPhblxQUrKzpoSnbI6Rkc0m/fq9Tf99a47USCr5dZ1+TH6EMLEp0OWzzftfQM6qltlXrlcMPoQoaIAG/dvSRZH1qQOOX1EQC4wrm6KBIAAGA81C4AAGA6oXYBAADTCbULcP7YWtaqH75Zetom6FnRgVqWNhL4NTch1OmNnC9k1mGbfvFuhf6yp9qu2/t5mbU0NVyXZEbo4oxIRbloDf35zGYY+vOuav1yS7lD6+ZC/Ly0JCVMS1PDtTQtXPHnYf+YK3QPDOnRDcV6s+TMzf1nYzZJ85NCtTglTLmxwcqJCfLo+/tcrluGbYaeclEYipfZpLmJIUqPCFBqRIBSI/yVGh6guBDfC3rt4om+kp+9U+7Sdcy+XmblxwVrbkKI5iaOhJ6cC4EcU+Voc4+++WqhSpsnvybf39usWfEhSgz1U+LxkK8Tf4f5e58TfTRTYWjYpv95t1z/t6fGZY95crhMVnTQaBjmhfpeHj4eUPX09mMufdxQPy9lRAUqMzJg5O+oAGVEXriv847KNj20rlCtvVaXPm5quL9mxQcrPy5Es+KDlRUdKO9pGuY62dqlvc+qb79WqPfKXRtoF+LnpbkJIZqfFKr5SaHKjQm6YANzD9d16pvrClXtorBcs0lalBymmfEjPUlZUYFKCvefkt4ke2wubdH9Lx4+423uWJio+y/PIgAMcDdHA8Ak6Z2jLXrwlQKPJPieKszfW3csTNSdC5PO68lGwzD0m/cq9TsXF5b2MpukOxcm6VPLU8/r5O+23kF94blDKmzs9ujzWswmLUoO1ceWpmhhcphHn9vTrMM2PbrB84F2MUE+Wp4eoZvnxCs/Ltijz+1phmHoDzur9MstFR55vlA/LyWG+Ss5zE+5scG6LCvqvA2QOGFo2Kb/frtMz75f6/bnig7y0bzE0ON/QpQZdeHsZvTSwXp9b2OJW4MkTJIyowJHdmA4/icpbHokfU+WYRj68+5q/fzdcreHJ1nMJuXGBGnu8V0u5iSGXhAnLDv7rXrg5QLtdPOOLScE+li0MDlMS1PDtCQ1/LzffeGEHZVt+sYrBeroH3Lr8ySE+mlFeoQuzojQgqTQ87omPlX3wJC+ta5QW8pa3fo8WdEnAr/CND8xVGEBF8Zkd/fAkB5eX6S3S92/81BMkI8uyYzUxekRWpwSdsG8j63DNj21rVJ/3Fnl9s+8lHB/rZ4RqVUzojQrfmSnoXN5YYErHanv0rfWFbo1MNBskuYmhmr1jEitnnH+f+8YT3Fjtx7fWKKDdc7vHHmqMH9vfXBegm6bl3DBHHsnq2dwSIfruuRjMSsvLli+5/GcJIALz4VSuwAAgPMDtQsAAJhOqF0AAMB0Qu0CnF+GbYa2lLWqo9+qIB/LBbOW21O2lLXoO68VjbuWOTrIR5dkROqSzAgtSr5w1m262v6aDn3j1UI1dA2M+3OLSZqdEKKlqSOhdnmxwRdM381kGYahv+2r1ZObyxzq3bGYpEUpYbosO1qrZ0QqImDqjinToW55r7xVD60rdLjnwcdi0rK0CF2WHaWVmZEK8vVy0winv0N1nXrwlQLVdY5/nDgbi9mkeYkhWp4WoYXJocqOCZq2wTLuMjBk0/+8U6a/73O8n9Lf26xLMiJ1eU60lqeF83l4BpuKm/TohmL1OJjzcEJWdKAuzYrSqszIC6oP1RHvHm3Rt18rUteAc31oFpO0JDVcV+XGaGlqmCIDfS6I/j1HNHcP6JvrCrWnqsPpxwjz9x7tG5mTEKJgv/PnM9AVtYvNMPSHHVX6zXsVk+qTyosN0uXZ0bo4PUIZUQEXdKjoqXoGh/TjN4/q5cMNTj9GZKCPbpwdp5tnxyluGoUSW4dtWvvr7WesXSMDfbThs8sUFRXkwZGNRQAYLgjOBIBJ0sHaTn3phUNua7yPCPBWXIifEkJ8FR/ip/hQP6VF+Gt+Utg5m27oDi8dqtf33nBfGIrZJAX4WOTvPfInyNdLWdGB+uC8BGXHTN0B2JO6B4b05RcOaV9N56QeJyLAW6F+3grx8zrpj/dp/x3q56WU8IDzqvg8G8Mw9OutFfrfHVUufdwQPy+lhvsrJdxfKeEBx//2V3K4v/wvwEmBVw7X67uvu+Z4ERnoo+Qwv9Ggr+QwfyWG+Ssp1E+hF2gStSQ9f6BOT2wqdekxOTXcX/OSQjU/MVTzkkKUEHJhhFFNZNexNn3tpQKnJ1ROFeBt0az4YM1NHAn7mhUfcsFPgL9X3qpvvFqg7gHnJgbHE+zrpTnHd7mYkxCimXHBF+zk7NCwTT9+66j+ub/O5Y9tMUmz4kdOVC5JDdPMuOALNlW9ur1PX33xiEt2EznBYjZpfmKILs6I1Ir0CKVGXBiBahOxGYZ+6+JA4qzoQC1KDtPC5JGgywu5pjgR4PqrLRWT3t3pZGaTNDs+RBdnRGhFRoRmRAVe0O/j/TUd+s76IpftwHDCzLjg0RMLaZEBp/18OiwscJU+67Ce3Fym51z8ubc4JUxX5UZrZWakwqdwkci5wmYYevFgvX7+brk6JzEPlxTmpzsXJum6mbEXbK0GADjdhVS7AACA6Y/aBQAATCfULgAAYDqhdgEAx3QPDOnlww3aUdGmQB+LUiP8dUlmpHJjgi7odZuu1Nlv1d/31epfB+o0OGwozN9LC5PDdFFquBalhF3wfSGTdaC2Uw+8fESN3YMT3sbLbNLS1PDRMKqwc2Tt93SpW+o7+/XgK4U6WHfmnlVfL7NWZETosqwoXZwRoUAf3tv26uy36pH1xdp81L6NuaMCfbQ8PVwXp0doSWo4xxE7bSlr0SPri9XWZz3j7QK8LbokM0KXZ0drGaFfDqls7dXXXj6io829Z72tSdKchBCtzorS6hmRSgrzd/8AzwPV7X36r5eOqKTJvj40k6T5SaG6Mjdal2dFs+m2HYZthp7eNtKHZm+fVESAty7NitLl2VHndX6IK2uXXcfa9M1XC9Xae+Zj8sny44K1JjtKl2VHKTGUY8bZbCxq0vfeKHGox31xSpg+MDdeqzIjp22/7+MbS87aG/b7O+fr0tkJHhrR6QgAwwXB2QAwSapo7dUXnzuoWidTkhNCfJUXF6zEUH8lhPoeD/zyU3yIL8X9SXZUtulrLx1xKMHXYjYpJyZIs+ODNTM+WJEBPgrwscjP26KA43/8fSzysZiYWJTUbx3W114+ovfK2+y+T3SQjxanhGlRcpgWpYQpfholcU6V5w/U6YmNJRp28NM1yNeivNhg5cYEKSMqYDTs61yZODyXbK9o1ddeKlCv1f7jhUlSbmyQFqeEaXFKmGYnhDBZeAZ7q9v1tZcK1H6WSavxWExSTmyw5iWGaF5iqOYlhhBoMI6Kll598YVDqu1wPKzj5B0YlqaFawbJ9eOqbO3V/S8eVkVrn1P397GYtCglTBenR2phcqjSI0n7PtWz+2r1k7dKHf7MO1VMkI9WzYjS0tRwLUwO5QTDSXoHh/XIhiJtKm52+jF8LCYtT4/QFTnRWp4ewes7jrdLmvXt14ocqi1OlhDiq7X5sbomP1Yp4UwSnmpbRau++WrhpAJ9pJGTZTfOjtPtCxKYjD1F7+BIQNXzByYXUBXs66Vr8mN0y9x4ZUQGnvG202VhgSttKWvRoxuKHTqJcCp/b7OuzY/VB+cnKn2cYDVIrb2D+tk75XrVwR1FZsYF66OLk7R6RhS1MQDgNBdi7QIAAKYvahcAADCdULsAAIDphNoFAIALT3uvVU+8Wao3ippGr/OxmLQsLUKXZUfpkoxIBfude+vrp1PdMjRs06+2Vujv+2o1MPTvMQZ4W7QiI0KXZ0dpWXqE/OmldpphGPrr3hr9/N1yWU9p4Dl5c+3l6RHKjr6wN9eejOaeQT32erG2lLWOuT7Qx6JLMiO1JjtKF6VFyNdreoaenAv6rMN6fGOJ1h1pPO1nFrNJi5PDtDorUqsyIxUV5DsFI5z++q3D+t4bJXqt4PTX+IT8uGBdlRutNdnRignmdXbGjso2PbRu4oCq6CAfXZY1EkY1NyH0guhvcHXt0tQ9oG+8UqB9NROHjM6MC9bl2VG6PDtaCaHkXziqvrNfD71WpH3VHRPeJsTPS9fNjNXNc+KVFjH9e6D213To3r/tP+NtPrEsRd+6cbaHRnQ6AsBwQZhMAJgkNXcP6IvPH1LxWVJP/bzMyo8L1qz4EM1JCNbM+BBFBRJ6Yq/S5h599cXDqm4fPwwlJshHsxNCNCs+RLPjg5UTE0SImoOswzY9vL5IGwqbxv15qJ+XFp0U+JUa7s8XfidsLW/Vt14tnDD5NNDHopyYIOXFBis/buTvxDA/gmUcUNjQpS8+f+iMzfep4f4jgV+p4VqYFKpQwtQcUtfZr6/86/BZE7/9vMyalRCi+YkhmpsYqtnxIQrw4dhsj7beQX3lX0fOutOFNPKlf3lahJZnRGgJO7nYrXtgSN9aV3ja5OtEYoJ8dHFGhFZkRGpxShgnGOywvaJVD7xSoO4Bx2rtqEAfXZ4dpStyojU7IYTPwDMwDEO/31GlX2+tsHt3AC+zSRelheuKnGitzIzkmGGHspYeffXFIzrWZl9oYKCPRZdnR+nambGalxjKe/gsajr69F8vHjnrd+rxxAT56EMLEnXT7Phz8gT7uWRrWasefb1YLT0T71Q2ntnxwbp5TryuyIm2+zv2dFpY4EqtvYN67PUSvWPnLlonJIf56bb5ibp+ZizHZDvtqWrXDzaWqrz1zLs8rciI0EcXJ2l+YijzFwCACV2otQsAAJieqF0AAMB0Qu0CAACmE2oXAAAuXNXtfSpu6lGon5dyY4MU6HNur+WcjnV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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 converted to float.\n",
|
||
"'CIR' columns denoised.\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": [
|
||
"<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": [
|
||
" NLOS RANGE FP_IDX MAX_NOISE FRAME_LEN PREAM_LEN CIR0 CIR1 \\\n",
|
||
"0 1 6.18 749.0 3668.0 2 0 748.0 367.0 \n",
|
||
"1 1 4.54 741.0 1031.0 2 0 123.0 471.0 \n",
|
||
"2 1 4.39 744.0 796.0 0 0 440.0 448.0 \n",
|
||
"3 1 1.27 748.0 1529.0 2 0 233.0 239.0 \n",
|
||
"4 0 1.16 743.0 2022.0 0 0 82.0 220.0 \n",
|
||
"... ... ... ... ... ... ... ... ... \n",
|
||
"5995 0 4.09 745.0 1856.0 0 0 397.0 349.0 \n",
|
||
"5996 0 2.18 744.0 781.0 2 0 20.0 94.0 \n",
|
||
"5997 0 1.25 748.0 1600.0 2 0 9.0 283.0 \n",
|
||
"5998 0 3.17 747.0 967.0 2 0 216.0 450.0 \n",
|
||
"5999 1 7.24 743.0 897.0 2 0 262.0 432.0 \n",
|
||
"\n",
|
||
" CIR2 CIR3 ... CIR1010 CIR1011 CIR1012 CIR1013 CIR1014 CIR1015 \\\n",
|
||
"0 745.0 718.0 ... 727.0 367.0 803.0 819.0 467.0 768.0 \n",
|
||
"1 409.0 332.0 ... 491.0 404.0 334.0 210.0 102.0 0.0 \n",
|
||
"2 130.0 96.0 ... 272.0 73.0 125.0 169.0 182.0 0.0 \n",
|
||
"3 176.0 533.0 ... 225.0 155.0 172.0 278.0 318.0 0.0 \n",
|
||
"4 111.0 293.0 ... 132.0 131.0 102.0 126.0 163.0 0.0 \n",
|
||
"... ... ... ... ... ... ... ... ... ... \n",
|
||
"5995 115.0 255.0 ... 312.0 236.0 717.0 483.0 135.0 0.0 \n",
|
||
"5996 157.0 119.0 ... 187.0 242.0 286.0 55.0 214.0 0.0 \n",
|
||
"5997 311.0 101.0 ... 102.0 265.0 44.0 257.0 316.0 0.0 \n",
|
||
"5998 159.0 214.0 ... 136.0 302.0 137.0 258.0 244.0 0.0 \n",
|
||
"5999 146.0 246.0 ... 98.0 175.0 312.0 78.0 160.0 0.0 \n",
|
||
"\n",
|
||
" RX_Level First_Path_Power_Level SNR Total_Distance \n",
|
||
"0 -33.465374 -39.074609 37.700000 234109.429414 \n",
|
||
"1 -34.892422 -53.179491 95.794118 126977.095586 \n",
|
||
"2 -38.436975 -49.812107 55.384615 115215.937666 \n",
|
||
"3 -21.918230 -25.863535 200.859375 101710.287433 \n",
|
||
"4 -21.603535 -23.232193 152.723684 119171.099564 \n",
|
||
"... ... ... ... ... \n",
|
||
"5995 -23.421597 -35.134911 114.500000 142476.965249 \n",
|
||
"5996 -24.201683 -29.556339 286.454545 116386.327422 \n",
|
||
"5997 -21.369582 -23.789663 169.866667 106608.296612 \n",
|
||
"5998 -29.968119 -33.686670 187.781250 125314.446614 \n",
|
||
"5999 -23.887993 -29.600876 295.633333 161141.444100 \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 CIR1 CIR2 \\\n",
|
||
"0 1 6.18 749.0 3668.0 2 0 748.0 367.0 745.0 \n",
|
||
"1 1 4.54 741.0 1031.0 2 0 123.0 471.0 409.0 \n",
|
||
"2 1 4.39 744.0 796.0 0 0 440.0 448.0 130.0 \n",
|
||
"3 1 1.27 748.0 1529.0 2 0 233.0 239.0 176.0 \n",
|
||
"4 0 1.16 743.0 2022.0 0 0 82.0 220.0 111.0 \n",
|
||
"\n",
|
||
" CIR3 ... CIR1010 CIR1011 CIR1012 CIR1013 CIR1014 CIR1015 \\\n",
|
||
"0 718.0 ... 727.0 367.0 803.0 819.0 467.0 768.0 \n",
|
||
"1 332.0 ... 491.0 404.0 334.0 210.0 102.0 0.0 \n",
|
||
"2 96.0 ... 272.0 73.0 125.0 169.0 182.0 0.0 \n",
|
||
"3 533.0 ... 225.0 155.0 172.0 278.0 318.0 0.0 \n",
|
||
"4 293.0 ... 132.0 131.0 102.0 126.0 163.0 0.0 \n",
|
||
"\n",
|
||
" RX_Level First_Path_Power_Level SNR Total_Distance \n",
|
||
"0 -33.465374 -39.074609 37.700000 234109.429414 \n",
|
||
"1 -34.892422 -53.179491 95.794118 126977.095586 \n",
|
||
"2 -38.436975 -49.812107 55.384615 115215.937666 \n",
|
||
"3 -21.918230 -25.863535 200.859375 101710.287433 \n",
|
||
"4 -21.603535 -23.232193 152.723684 119171.099564 \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",
|
||
"\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": 16,
|
||
"id": "72c1e647b6c1992",
|
||
"metadata": {
|
||
"ExecuteTime": {
|
||
"end_time": "2024-03-22T01:44:49.187367Z",
|
||
"start_time": "2024-03-22T01:44:48.277552Z"
|
||
},
|
||
"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": 17,
|
||
"id": "1c1dd203ad7db076",
|
||
"metadata": {
|
||
"ExecuteTime": {
|
||
"end_time": "2024-03-22T01:57:04.714231Z",
|
||
"start_time": "2024-03-22T01:44:49.188825Z"
|
||
},
|
||
"collapsed": false
|
||
},
|
||
"outputs": [
|
||
{
|
||
"name": "stderr",
|
||
"output_type": "stream",
|
||
"text": [
|
||
"2024-03-22 09:44:49.895772: I external/local_xla/xla/stream_executor/cuda/cuda_executor.cc:901] successful NUMA node read from SysFS had negative value (-1), but there must be at least one NUMA node, so returning NUMA node zero. See more at https://github.com/torvalds/linux/blob/v6.0/Documentation/ABI/testing/sysfs-bus-pci#L344-L355\n",
|
||
"2024-03-22 09:44:49.896348: W tensorflow/core/common_runtime/gpu/gpu_device.cc:2256] Cannot dlopen some GPU libraries. Please make sure the missing libraries mentioned above are installed properly if you would like to use GPU. Follow the guide at https://www.tensorflow.org/install/gpu for how to download and setup the required libraries for your platform.\n",
|
||
"Skipping registering GPU devices...\n"
|
||
]
|
||
},
|
||
{
|
||
"name": "stdout",
|
||
"output_type": "stream",
|
||
"text": [
|
||
"Epoch 1/30\n",
|
||
"1050/1050 [==============================] - 28s 25ms/step - loss: 0.6096 - accuracy: 0.7804 - val_loss: 0.4330 - val_accuracy: 0.8510\n",
|
||
"Epoch 2/30\n",
|
||
"1050/1050 [==============================] - 25s 23ms/step - loss: 0.5037 - accuracy: 0.8213 - val_loss: 0.4170 - val_accuracy: 0.8563\n",
|
||
"Epoch 3/30\n",
|
||
"1050/1050 [==============================] - 24s 23ms/step - loss: 0.4609 - accuracy: 0.8370 - val_loss: 0.4153 - val_accuracy: 0.8507\n",
|
||
"Epoch 4/30\n",
|
||
"1050/1050 [==============================] - 25s 23ms/step - loss: 0.4430 - accuracy: 0.8477 - val_loss: 0.4005 - val_accuracy: 0.8626\n",
|
||
"Epoch 5/30\n",
|
||
"1050/1050 [==============================] - 26s 25ms/step - loss: 0.4233 - accuracy: 0.8537 - val_loss: 0.3934 - val_accuracy: 0.8639\n",
|
||
"Epoch 6/30\n",
|
||
"1050/1050 [==============================] - 26s 25ms/step - loss: 0.4155 - accuracy: 0.8570 - val_loss: 0.3882 - val_accuracy: 0.8681\n",
|
||
"Epoch 7/30\n",
|
||
"1050/1050 [==============================] - 25s 24ms/step - loss: 0.4016 - accuracy: 0.8631 - val_loss: 0.3855 - val_accuracy: 0.8694\n",
|
||
"Epoch 8/30\n",
|
||
"1050/1050 [==============================] - 24s 23ms/step - loss: 0.3938 - accuracy: 0.8672 - val_loss: 0.3842 - val_accuracy: 0.8671\n",
|
||
"Epoch 9/30\n",
|
||
"1050/1050 [==============================] - 24s 23ms/step - loss: 0.3875 - accuracy: 0.8696 - val_loss: 0.3813 - val_accuracy: 0.8692\n",
|
||
"Epoch 10/30\n",
|
||
"1050/1050 [==============================] - 26s 25ms/step - loss: 0.3799 - accuracy: 0.8725 - val_loss: 0.3766 - val_accuracy: 0.8704\n",
|
||
"Epoch 11/30\n",
|
||
"1050/1050 [==============================] - 25s 23ms/step - loss: 0.3772 - accuracy: 0.8735 - val_loss: 0.3743 - val_accuracy: 0.8726\n",
|
||
"Epoch 12/30\n",
|
||
"1050/1050 [==============================] - 24s 23ms/step - loss: 0.3725 - accuracy: 0.8753 - val_loss: 0.3721 - val_accuracy: 0.8732\n",
|
||
"Epoch 13/30\n",
|
||
"1050/1050 [==============================] - 25s 24ms/step - loss: 0.3666 - accuracy: 0.8764 - val_loss: 0.3689 - val_accuracy: 0.8742\n",
|
||
"Epoch 14/30\n",
|
||
"1050/1050 [==============================] - 24s 23ms/step - loss: 0.3591 - accuracy: 0.8807 - val_loss: 0.3681 - val_accuracy: 0.8769\n",
|
||
"Epoch 15/30\n",
|
||
"1050/1050 [==============================] - 24s 23ms/step - loss: 0.3566 - accuracy: 0.8823 - val_loss: 0.3648 - val_accuracy: 0.8764\n",
|
||
"Epoch 16/30\n",
|
||
"1050/1050 [==============================] - 24s 23ms/step - loss: 0.3530 - accuracy: 0.8843 - val_loss: 0.3638 - val_accuracy: 0.8744\n",
|
||
"Epoch 17/30\n",
|
||
"1050/1050 [==============================] - 24s 23ms/step - loss: 0.3500 - accuracy: 0.8842 - val_loss: 0.3617 - val_accuracy: 0.8781\n",
|
||
"Epoch 18/30\n",
|
||
"1050/1050 [==============================] - 24s 23ms/step - loss: 0.3429 - accuracy: 0.8873 - val_loss: 0.3631 - val_accuracy: 0.8769\n",
|
||
"Epoch 19/30\n",
|
||
"1050/1050 [==============================] - 24s 23ms/step - loss: 0.3405 - accuracy: 0.8888 - val_loss: 0.3569 - val_accuracy: 0.8786\n",
|
||
"Epoch 20/30\n",
|
||
"1050/1050 [==============================] - 24s 23ms/step - loss: 0.3401 - accuracy: 0.8889 - val_loss: 0.3616 - val_accuracy: 0.8802\n",
|
||
"Epoch 21/30\n",
|
||
"1050/1050 [==============================] - 23s 22ms/step - loss: 0.3368 - accuracy: 0.8899 - val_loss: 0.3544 - val_accuracy: 0.8824\n",
|
||
"Epoch 22/30\n",
|
||
"1050/1050 [==============================] - 25s 23ms/step - loss: 0.3336 - accuracy: 0.8918 - val_loss: 0.3587 - val_accuracy: 0.8826\n",
|
||
"Epoch 23/30\n",
|
||
"1050/1050 [==============================] - 25s 23ms/step - loss: 0.3311 - accuracy: 0.8933 - val_loss: 0.3657 - val_accuracy: 0.8799\n",
|
||
"Epoch 24/30\n",
|
||
"1050/1050 [==============================] - 24s 23ms/step - loss: 0.3309 - accuracy: 0.8940 - val_loss: 0.3578 - val_accuracy: 0.8817\n",
|
||
"Epoch 25/30\n",
|
||
"1050/1050 [==============================] - 23s 22ms/step - loss: 0.3258 - accuracy: 0.8972 - val_loss: 0.3580 - val_accuracy: 0.8824\n",
|
||
"Epoch 26/30\n",
|
||
"1050/1050 [==============================] - 23s 22ms/step - loss: 0.3217 - accuracy: 0.8982 - val_loss: 0.3549 - val_accuracy: 0.8840\n",
|
||
"Epoch 27/30\n",
|
||
"1050/1050 [==============================] - 23s 22ms/step - loss: 0.3250 - accuracy: 0.8953 - val_loss: 0.3541 - val_accuracy: 0.8854\n",
|
||
"Epoch 28/30\n",
|
||
"1050/1050 [==============================] - 23s 22ms/step - loss: 0.3185 - accuracy: 0.8986 - val_loss: 0.3552 - val_accuracy: 0.8839\n",
|
||
"Epoch 29/30\n",
|
||
"1050/1050 [==============================] - 23s 22ms/step - loss: 0.3176 - accuracy: 0.8997 - val_loss: 0.3561 - val_accuracy: 0.8837\n",
|
||
"Epoch 30/30\n",
|
||
"1050/1050 [==============================] - 23s 22ms/step - loss: 0.3184 - accuracy: 0.9005 - val_loss: 0.3541 - val_accuracy: 0.8856\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": 18,
|
||
"id": "89aa08d7d1866179",
|
||
"metadata": {
|
||
"ExecuteTime": {
|
||
"end_time": "2024-03-22T01:57:05.124254Z",
|
||
"start_time": "2024-03-22T01:57:04.715577Z"
|
||
},
|
||
"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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",
|
||
"text/plain": [
|
||
"<Figure size 1200x600 with 1 Axes>"
|
||
]
|
||
},
|
||
"metadata": {},
|
||
"output_type": "display_data"
|
||
},
|
||
{
|
||
"name": "stdout",
|
||
"output_type": "stream",
|
||
"text": [
|
||
"Test loss: 0.3540947735309601\n",
|
||
"Test accuracy: 0.8855952620506287\n",
|
||
"Classification Report: \n",
|
||
" precision recall f1-score support\n",
|
||
"\n",
|
||
" 0 0.88 0.89 0.89 4192\n",
|
||
" 1 0.89 0.88 0.89 4208\n",
|
||
"\n",
|
||
" accuracy 0.89 8400\n",
|
||
" macro avg 0.89 0.89 0.89 8400\n",
|
||
"weighted avg 0.89 0.89 0.89 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": 19,
|
||
"id": "9739272beb4981b6",
|
||
"metadata": {
|
||
"ExecuteTime": {
|
||
"end_time": "2024-03-22T01:57:05.751541Z",
|
||
"start_time": "2024-03-22T01:57:05.125472Z"
|
||
},
|
||
"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": 20,
|
||
"id": "92964bc26d5c26cc",
|
||
"metadata": {
|
||
"ExecuteTime": {
|
||
"end_time": "2024-03-22T01:57:05.914105Z",
|
||
"start_time": "2024-03-22T01:57:05.752889Z"
|
||
},
|
||
"collapsed": false
|
||
},
|
||
"outputs": [
|
||
{
|
||
"data": {
|
||
"image/png": 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9enXq1q3LsGHDqF27NgsXLrQ7tkGDBgAcPXoUuFoJpqWl2Yy5dv/aecvrjfHy8ip09QgKSBERKWL5+fnXPWeZnJwM/C/8goODOXDgAOnp6dYxiYmJeHl5Wdu0wcHBbN682eY4iYmJBAcHOzUvBaSIiBGZ3Fx3c8KMGTPYtm0bJ06cYP/+/cyYMYOtW7fSsWNHjh07xty5c9mzZw8nTpzgm2++YeTIkTRu3JjatWsDVxfbBAQEMGLECPbt28f69euZOXMm3bp1s1atXbt25fjx40ybNo2ff/6ZxYsXs2rVKnr27OnUXHUOUkTEiIroYuXp6emMHDmS06dP4+3tTVBQEAsWLKB58+acOnWKTZs2sXDhQrKysqhUqRLt2rVjwIAB1scXK1aMefPmMX78eLp06YKnpyeRkZE2n5usWrUq8fHxxMbGsnDhQipWrMikSZOc+ogHgMlisVhc9spvE54h0UU9BTGIs9vmOB4k4gIeLi5nPB+e7rJjXfr6VZcd63aiClJExIh0LVaHFJAiIkak74N0SL9CiIiI2KEKUkTEiNRidUgBKSJiRGqxOqRfIUREROxQBSkiYkRqsTqkgBQRMSIFpEN6h0REROxQBSkiYkRapOOQAlJExIjUYnVI75CIiIgdqiBFRIxILVaHFJAiIkakFqtDeodERETsUAUpImJEarE6pIAUETEgkwLSIbVYRURE7FAFKSJiQKogHVNAiogYkfLRIbVYRURE7FAFKSJiQGqxOqaAFBExIAWkY2qxioiI2KEKUkTEgFRBOqaAFBExIAWkY2qxioiI2KEKUkTEiFRAOqSAFBExILVYHVOLVURExA5VkCIiBqQK0jEFpIiIASkgHVOLVURExA5VkCIiBqQK0jEFpIiIESkfHVKLVURExA5VkCIiBqQWq2MKSBERA1JAOqYWq4iIiB2qIEVEDEgVpGMKSBERI1I+OqQWq4iIiB2qIEVEDEgtVscUkCIiBqSAdEwtVhERETtUQYqIGJAqSMcUkCIiBqSAdEwtVhERETtUQYqIGJEKSIdUQYqIGJDJZHLZzRkfffQRHTt2pGHDhjRs2JAuXbrw/fffW/dfuXKFCRMm0LRpU0JCQhg4cCBpaWk2x0hJSaFv3740aNCAsLAwpk6dSm5urs2YLVu2EBkZSd26dWnbti3Lli1z+j1SQIqIyC1TsWJFXn31VZYtW8bSpUtp1qwZL7/8MgcPHgRgypQpfPfdd8ycOZNFixZx+vRpoqOjrY/Py8sjKiqKnJwclixZQlxcHMuXL2fWrFnWMcePHycqKoqmTZvy+eef88ILLzB27FjWr1/v1FzVYhURMSBXLtLJzs4mOzvbZpvZbMZsNhcY27p1a5v7Q4YM4eOPPyYpKYmKFSuydOlSpk+fTlhYGHA1MB977DGSkpIIDg5mw4YNHDp0iISEBHx8fKhTpw6DBw9m+vTpREdHYzabWbJkCVWqVCEmJgYAf39/duzYwfvvv0+LFi0K/bpUQYqIGJArW6zx8fE0atTI5hYfH+9wDnl5eXz11VdkZWUREhLCnj17yMnJITw83DrG398fPz8/kpKSAEhKSiIwMBAfHx/rmIiICDIyMjh06JB1zLWA/f2Ya8coLFWQIiLyl0RFRdGrVy+bbfaqx2v2799P165duXLlCiVKlGDu3LkEBASQnJyMu7s7pUqVshlfrlw5UlNTAUhLS7MJR8B639GYjIwMLl++jIeHR6FelwJSRMSIXLiK9Xrt1OupUaMGK1as4OLFi3z99deMHDmSDz/80HUTchEFpIiIARXlhQLMZjPVq1cHoG7duuzevZuFCxfy6KOPkpOTw4ULF2yqyPT0dHx9fYGrleCuXbtsjndtlevvx/xx5WtaWhpeXl6Frh5B5yBFRKSI5efnk52dTd26dXF3d2fTpk3WfYcPHyYlJYXg4GAAgoODOXDgAOnp6dYxiYmJeHl5ERAQYB2zefNmm+dITEy0HqOwVEGKiBhQUVWQM2bM4MEHH6RSpUpkZmby73//m61bt7JgwQK8vb3p3LkzcXFxlC5dGi8vLyZNmkRISIg13CIiIggICGDEiBEMHz6c1NRUZs6cSbdu3axt3q5du7J48WKmTZtG586d2bx5M6tWrSrUwqHfU0DeJV56OoKXnmpBdb+yACQf/pUp/1zFfzb+RLVKZdm/cqLdx3UbvoBla3cCMGPEUzRrUJMHAiqx78hvNOsaZ/cxr3R/iN6dm1OtUhnSz2US/+l6pi34+ua8MLnjLJj/T2bNnEG353swYtQYTp48wWPtHrI79s23ZtLu4Uet9z9fvoxFCxM4+ssvlPTyol27Rxj92rhbNXVDKaqATE9PZ+TIkZw+fRpvb2+CgoJYsGABzZs3B2D06NG4ubkxaNAgsrOziYiIYNy4//0/UKxYMebNm8f48ePp0qULnp6eREZGMmjQIOuYqlWrEh8fT2xsLAsXLqRixYpMmjTJqY94AJgsFovFNS/79uEZEu140F3msQfrkpefz6FjqZgw8XzHpgx54SGadY1j/y+/4VvGy2Z8787NGdKjDTXajibz0tXPL80Y8RQHfjlN43rVqVurst2AnDHiKR5qVpsxb3/OnoMplC1dgjKlSvLtln235HXebs5um1PUU7it7Nm9i+HDXsGrpBeNmzRlxKgx5OXlcfbMGZtxn/3rEz5IWMA36zZQomRJABa+n8DCD95j6LAR1KvfgEuXskg5eZK/tbYfrkbj4eJy5r7B/3bZsX55u4PLjnU7UQV5l1j53z0298fP/ZKXno6gSf0aJB/+ld/SL9rsf7xVA5au+cEajgDDpn0GgE+Zx6hbq3KB5wiqUYGXnmpBo6cnc/DoaQCOpqQXGCfGlJWZyaiRwxk3YRLz49+xbi9WrBg+/7944ppvv1lLu0cetYbjhfPnmTt7JrPmzqNps/99fi0wqPatmbwB6ds8HCvSgDxz5gxLly4lKSnJuuLIx8eHkJAQOnXqRNmyZYtyencsNzcTnds2pKSnmS27jhTYH1KnKsG1qzIk7lOnjtv+wXocOZnGYw/WpV+XBzGZTHy7ZT9jZq7g7IUsV01f7lBTJk3kwQdb0iws3CYg/+invXvYvy+Z0WNft27btGkj+fn5nP7tN57s+CiZmZkEB4cwbHgMFStVuhXTNx7lo0NFtop1165dPPLIIyxatAhvb29CQ0MJDQ3F29ubRYsW8eijj7J79+6imt4d6YEAP1I3zuD8lpnMGtOFLsPms+/wrwXGvfBkGMmHT7H5x4LheSP3VfGhWqWydGoTwouvLeKl1z8kpE5VPnqzj6tegtyhVq38iuTknxg0ZJjDscuXfkbNmv4EhzS0bjtx/AT5+RbenT+P4SNHM+Pvszh//jxRL/Ui5w+XMBO5VYqsgpw0aRKPPPIIEyZMKFDqWywWxo0bx6RJk/jkk0+KaIZ3ngO//EbTrrGU9vIksk0I8yd2p92Lb9uEpMc97nR5NJS4+audPr6byYTHPe70eW0Rh45dbbH2n7CYTR/HUKt6eWvbVYzl11OnmBY3mfj573HPPffccOzly5dZtfLfvNRvgM12iyWf3NwcRo4aS3jzCADi3nyLh1o2Z+vWLTSPcG5xhTimFqtjRRaQ+/btIzY21u4fkslk4oUXXiAyMrIIZnbnysnN4/Dxq63qncnHafRANV5+9m8MnLzEOiayTTAlPMws/vdWp4//a9p5cnLyrOEIsO/IbwBUrVhWAWlQP/20lzPp6XR9upN1W15eHju2b2PJx4vZtnM3xYoVA2DNf1Zz6dJlOj7+pM0xrp2j9PcPsG4rW7Ys95Ypw6+nTt38F2FACkjHiiwgfXx82L17N/7+/nb37969u8C19MQ5biYT95ht/4h7PhnOV9/vJu1shtPH25R0GHf3YtSo4sORE1eDuFb18gAcO3XmRg+Vu1jTZs34bMWXNtvGjRnFfTVr0qvPS9ZwBFixbCl/a9W6wPqCa+3WX345QoWKFQE4f+4c586epZKf301+BSL2FVlA9unTh9dee409e/YQFhZmDcO0tDQ2bdrEv/71L0aMGFFU07vjTBz4OF9v3MvxU2fxLulBl0dDeTC0Fh0H/MM6pmZVHyIa+vPkQPsLKGpW9cHL8x4q+JTC8x536gdeXcmafPhXcnLz+HbLfn746Rjx47sx/M2luLmZmBnzDGs3JdtUlWIsJUt6UatWoM02zxIluLf0vTbbjx09yo7t25j7zj8LHOO++2rQqvVDTI2dzOvjJ1LSy4tZf3+L+2rUpHGTpjf9NRiRCkjHiiwgu3XrRpkyZXj//ff5+OOPycvLA64uCX/ggQeIjY3lscceK6rp3XF8y3qx4I0eVPQpxfmMy+w5eJKOA/5h8/nEF54I4+Rv51i7yf5nFt95vRsPhtay3t/yySgAgh57nWOnzmCxWHjqlXjeGvk0axa8QualbP6z8Sdi3nL+m7rFeFYsX0qFChUJ+/9zjH80KXYab06dQvSAKNxMbjRq3Jh34t/F3d39Fs/UGNRidey2uFBATk4OZ8+eBaBMmTJ/+S+EES8UIEVDFwqQW8XVFwqoNdz5hXrXc/DNR1x2rNvJbXGhAHd3d8qXL1/U0xARMQwVkI7dFgEpIiK3llqsjunrrkREROxQBSkiYkAqIB1TQIqIGJCbmxLSEbVYRURE7FAFKSJiQGqxOqYKUkRExA5VkCIiBqSPeTimgBQRMSDlo2NqsYqIiNihClJExIDUYnVMASkiYkAKSMfUYhUREbFDFaSIiAGpgHRMASkiYkBqsTqmFquIiIgdqiBFRAxIBaRjCkgREQNSi9UxtVhFRETsUAUpImJAKiAdU0CKiBiQWqyOqcUqIiJihypIEREDUgHpmAJSRMSA1GJ1TC1WERERO1RBiogYkApIxxSQIiIGpBarY2qxioiI2KEKUkTEgFRAOqaAFBExILVYHVOLVURExA5VkCIiBqQC0jEFpIiIAanF6pharCIiInaoghQRMSBVkI4pIEVEDEj56JharCIiInaoghQRMSC1WB1TBSkiYkAmk+tuzoiPj6dz586EhIQQFhbGgAEDOHz4sM2Y7t27ExQUZHN7/fXXbcakpKTQt29fGjRoQFhYGFOnTiU3N9dmzJYtW4iMjKRu3bq0bduWZcuWOTVXVZAiInLLbN26lW7dulGvXj3y8vJ466236NOnD1999RUlSpSwjnvmmWcYNGiQ9b6np6f157y8PKKiovDx8WHJkiWcPn2akSNH4u7uztChQwE4fvw4UVFRdO3alenTp7Np0ybGjh2Lr68vLVq0KNRcFZAiIgZUVC3WBQsW2NyPi4sjLCyMvXv30rhxY+t2Dw8PfH197R5jw4YNHDp0iISEBHx8fKhTpw6DBw9m+vTpREdHYzabWbJkCVWqVCEmJgYAf39/duzYwfvvv1/ogFSLVUTEgFzZYs3OziYjI8Pmlp2dXah5XLx4EYDSpUvbbP/yyy9p2rQpHTp0YMaMGVy6dMm6LykpicDAQHx8fKzbIiIiyMjI4NChQ9YxYWFhNseMiIggKSmp0O+RKkgREflL4uPjmTNnjs226OhoBg4ceMPH5efnM2XKFBo2bEhgYKB1e4cOHfDz86N8+fLs37+f6dOnc+TIEetzpKWl2YQjYL2fmpp6wzEZGRlcvnwZDw8Ph69LASkiYkBuLmyxRvWNolevXjbbzGazw8dNmDCBgwcP8tFHH9ls79Kli/XnoKAgfH196dmzJ8eOHaNatWqumXQhKCBFRAzIlacgzWZzoQLx9yZOnMi6dev48MMPqVix4g3HNmjQAICjR49SrVo1fHx82LVrl82YtLQ0AOt5Sx8fH+u234/x8vIqVPUIOgcpIiK3kMViYeLEiaxZs4YPPviAqlWrOnxMcnIy8L/wCw4O5sCBA6Snp1vHJCYm4uXlRUBAgHXM5s2bbY6TmJhIcHBwoeeqgBQRMSCTyeSymzMmTJjAF198wYwZMyhZsiSpqamkpqZy+fJlAI4dO8bcuXPZs2cPJ06c4JtvvmHkyJE0btyY2rVrA1cX2wQEBDBixAj27dvH+vXrmTlzJt26dbNWsl27duX48eNMmzaNn3/+mcWLF7Nq1Sp69uxZ+PfIYrFYnHp1dwDPkOiinoIYxNltcxwPEnEBDxefEHv0nS0uO9aq/k0LPTYoKMju9tjYWDp16sSpU6cYPnw4Bw8eJCsri0qVKtGmTRsGDBiAl5eXdfzJkycZP348W7duxdPTk8jISIYNG0bx4v97o7Zs2UJsbCyHDh2iYsWKDBgwgE6dOhV6rgpIkb9AASm3yt0SkHcSLdIRETEgXYvVMQWkiIgBKR8d0yIdERERO1RBiogYkAmVkI4oIEVEDMhN+eiQWqwiIiJ2qIIUETEgrWJ1TAEpImJAykfHnA7IU6dOYTKZrBeX3bVrF19++SUBAQE2V2AXERG5kzl9DnLYsGHWC8CmpqbSq1cvdu/ezd///vcC3wcmIiK3JzeTyWW3u5XTAXnw4EHq168PwKpVq6hVqxZLlixh+vTpLF++3OUTFBER1zOZXHe7WzkdkLm5udarpScmJtK6dWsAatasaf0mZxERkTud0wEZEBDAkiVL2L59O4mJiTz44IMAnD59mnvvvdfV8xMRkZugqL7u6k7idEC++uqrfPLJJ3Tv3p327dtbv5/r22+/tbZeRUTk9qYWq2NOr2Jt2rQpmzdvJiMjg9KlS1u3P/PMM3h6erp0ciIiIkXF6YC8fPkyFovFGo4nT55kzZo1+Pv706JFC5dPUEREXO9uXn3qKk63WAcMGMCKFSsAuHDhAs888wwJCQm8/PLLfPTRR66en4iI3AQmF97uVk4H5N69ewkNDQXg66+/ply5cnz33XdMnTqVRYsWuXyCIiIiReFPtVhLliwJwIYNG2jXrh1ubm4EBweTkpLi8gmKiIjr3c2rT13F6QqyWrVqrF27llOnTrFhwwaaN28OQHp6Ol5eXi6foIiIuJ6byXW3u5XTAfnyyy8zbdo0WrduTYMGDQgJCQFg48aN1KlTx+UTFBERKQpOt1gfeeQRGjVqRGpqqvUzkABhYWG0adPGpZMTEZGbQy1Wx/7U1135+vri6+trs00XCRARuXMoHx37UwG5e/duVq1axalTp8jJybHZp2/0EBGRu4HT5yC/+uornn32WQ4fPsyaNWvIzc3l4MGDbN68GW9v75sxRxERcTFdi9UxpwNy3rx5jBo1innz5uHu7s6YMWNYvXo1jz76KJUqVboZcxQRERfTKlbHnA7I48eP07JlSwDMZjNZWVmYTCZ69uzJp59+6vIJioiIFAWnA7JUqVJkZmYCUL58eQ4ePAhcvezcpUuXXDs7ERG5KdRidczpRTqNGzcmMTGRoKAgHnnkESZPnszmzZtJTEwkLCzsZsxRRERc7O6NNddxOiBfe+01rly5AkD//v1xd3fnhx9+oF27dvTv39/lExQRESkKTgfkvffea/3Zzc2Nvn37unI+IiJyC+jrrhwrVEBmZGQU+oC6HquIyO1P+ehYoQIyNDTU4YlYi8WCyWQiOTnZJRMTEREpSoUKyIULF97seYiIyC10N68+dZVCBWSTJk1u9jxEROQWUj465vTnIJcuXcqqVasKbF+1ahXLly93yaRERESKmtMB+c9//pMyZcoU2F6uXDnmzZvnkkmJiMjN5WYyuex2t3L6Yx4pKSlUqVKlwHY/Pz9OnTrlkkmJiMjNdRfnmss4XUGWK1eO/fv3F9i+b98+m89IioiI3MmcriDbt2/P5MmTKVmyJI0bNwZg69atTJkyhfbt27t8giIi4npaxeqY0wE5ePBgTp48Sc+ePSle/OrD8/PzeeKJJxgyZIjLJ/hnnN2mL22WW6NM4+iinoIYxKWdrv13zen2oQE5HZBms5mZM2fyyy+/kJycjIeHB4GBgVSuXPlmzE9ERKRIOB2Q19x3333cd999LpyKiIjcKmqxOvanA1JERO5cbspHh9SGFhERsUMVpIiIAamCdEwBKSJiQDoH6difarFu376dV199lS5duvDbb78BsGLFCrZv3+7SyYmIiBQVpwPy66+/pk+fPnh4ePDTTz+RnZ0NXP1S5fj4eJdPUEREXM/N5LqbM+Lj4+ncuTMhISGEhYUxYMAADh8+bDPmypUrTJgwgaZNmxISEsLAgQNJS0uzGZOSkkLfvn1p0KABYWFhTJ06ldzcXJsxW7ZsITIykrp169K2bVuWLVvm3Hvk3EuDd955hwkTJjBp0iTrhQIAGjZsyE8//eTs4UREpAiYTK67OWPr1q1069aNTz/9lISEBHJzc+nTpw9ZWVnWMVOmTOG7775j5syZLFq0iNOnTxMd/b+LcuTl5REVFUVOTg5LliwhLi6O5cuXM2vWLOuY48ePExUVRdOmTfn888954YUXGDt2LOvXry/0XJ0+B3nkyBFCQ0MLbPf29ubChQvOHk5ERAxkwYIFNvfj4uIICwtj7969NG7cmIsXL7J06VKmT59OWFgYcDUwH3vsMZKSkggODmbDhg0cOnSIhIQEfHx8qFOnDoMHD2b69OlER0djNptZsmQJVapUISYmBgB/f3927NjB+++/T4sWLQo1V6crSB8fH44dO1Zg+44dO6hataqzhxMRkSLgyq+7ys7OJiMjw+Z27fSbIxcvXgSgdOnSAOzZs4ecnBzCw8OtY/z9/fHz8yMpKQmApKQkAgMD8fHxsY6JiIggIyODQ4cOWcdcC9jfj7l2jEK9R4Ue+f+eeeYZJk+ezI8//ojJZOK3337jiy++YOrUqTz77LPOHk5ERIqAmwtv8fHxNGrUyOZWmDUp+fn5TJkyhYYNGxIYGAhAWloa7u7ulCpVymZsuXLlSE1NtY75fTgC1vuOxmRkZHD58uVCvEN/osXat29f8vPz6dmzJ5cuXeL555/HbDbTu3dvunfv7uzhRETkDhcVFUWvXr1stpnNZoePmzBhAgcPHuSjjz66WVP7S5wOSJPJRP/+/enTpw/Hjh0jKysLf39/SpYseTPmJyIiN4ErPwZpNpsLFYi/N3HiRNatW8eHH35IxYoVrdt9fHzIycnhwoULNlVkeno6vr6+1jG7du2yOd61Va6/H/PHla9paWl4eXnh4eFRqDn+6UvNmc1mAgICqF+/vsJRROQO48pzkM6wWCxMnDiRNWvW8MEHHxRYu1K3bl3c3d3ZtGmTddvhw4dJSUkhODgYgODgYA4cOEB6erp1TGJiIl5eXgQEBFjHbN682ebYiYmJ1mMUhtMVZPfu3W94BYaFCxc6e0gRETGICRMm8O9//5t//OMflCxZ0nrO0NvbGw8PD7y9vencuTNxcXGULl0aLy8vJk2aREhIiDXcIiIiCAgIYMSIEQwfPpzU1FRmzpxJt27drJVs165dWbx4MdOmTaNz585s3ryZVatWOfV5facDsk6dOjb3c3NzSU5O5uDBgzz55JPOHk5ERIpAUV1p7uOPPwYosGYlNjaWTp06ATB69Gjc3NwYNGgQ2dnZREREMG7cOOvYYsWKMW/ePMaPH0+XLl3w9PQkMjKSQYMGWcdUrVqV+Ph4YmNjWbhwIRUrVmTSpEmF/ogHgMlisVj+you9Zvbs2WRlZTFy5EhXHO4vuZzreIyIK5RpHO14kIgLXNo5x6XHG/+fg647VrtaLjvW7cRlX3f1+OOPs3TpUlcdTkREpEi57Ns8du7c6fQqJhERKRrOLq4xIqcD8vfXw4OrK5JSU1PZs2cPAwYMcNnERETk5lE+OuZ0QHp7e9vcN5lM1KhRg0GDBhEREeGyiYmIiBQlpwIyLy+PTp06ERgYaL1unoiI3Hmc/ZoqI3JqkU6xYsXo3bu3vrVDROQOZ3Lhf3crp1ex1qpVixMnTtyMuYiIiNw2nA7IV155halTp/Ldd99x+vTpAl9xIiIitz83k+tud6tCn4OcM2cOvXv3pm/fvgD079/f5pJzFosFk8lEcnKy62cpIiIudTcHm6sUOiDnzp3Ls88+q2utioiIIRQ6IK9dka5JkyY3bTIiInJr3OhLJ+Qqpz7moTdUROTuoBarY04F5MMPP+wwJLdu3fqXJiQiInI7cCogBw4cWOBKOiIicudRQ9AxpwKyffv2lCtX7mbNRUREbhFdrNyxQn8OUucfRUTESJxexSoiInc+LdJxrNABuW/fvps5DxERuYXUFHTM6UvNiYiIGIHT3wcpIiJ3Pre7+Fs4XEUBKSJiQGqxOqYWq4iIiB2qIEVEDEirWB1TQIqIGJAuFOCYWqwiIiJ2qIIUETEgFZCOKSBFRAxILVbH1GIVERGxQxWkiIgBqYB0TAEpImJAah86pvdIRETEDlWQIiIGpO/4dUwBKSJiQIpHx9RiFRERsUMVpIiIAelzkI4pIEVEDEjx6JharCIiInaoghQRMSB1WB1TQIqIGJA+5uGYWqwiIiJ2qIIUETEgVUeOKSBFRAxILVbH9EuEiIiIHaogRUQMSPWjYwpIEREDUovVMbVYRURE7FAFKSJiQKqOHFNAiogYkFqsjumXCBERuWW2bdtGv379iIiIICgoiLVr19rsj4mJISgoyObWp08fmzHnzp1j2LBhNGzYkNDQUEaPHk1mZqbNmH379vHcc89Rr149WrZsyfz5852eqypIEREDKqr6MSsri6CgIDp37kx0dLTdMS1atCA2NtZ632w22+x/9dVXSU1NJSEhgZycHEaPHs3rr7/OjBkzAMjIyKBPnz6EhYUxYcIEDhw4wOjRoylVqhRdunQp9FwVkCIiBlRUHdaWLVvSsmXLG44xm834+vra3ffzzz+zfv16PvvsM+rVqwfA2LFj6du3LyNGjKBChQp88cUX5OTkMGXKFMxmM7Vq1SI5OZmEhASnAlItVhER+Uuys7PJyMiwuWVnZ//p423dupWwsDAefvhhxo0bx9mzZ637du7cSalSpazhCBAeHo6bmxu7du0CICkpidDQUJvKMyIigiNHjnD+/PlCz0MVpIiIAbm5sMkaHx/PnDlzbLZFR0czcOBAp4/VokUL2rZtS5UqVTh+/DhvvfUWL730Ep988gnFihUjLS2NsmXL2jymePHilC5dmtTUVADS0tKoUqWKzRgfHx/rvtKlSxdqLgpIEREDcmWLNSoqil69etls++N5w8Jq37699edri3TatGljrSpvJbVYRUTkLzGbzXh5ednc/mxA/lHVqlUpU6YMR48eBa5WgmfOnLEZk5uby/nz563nLX18fEhLS7MZc+3+tUqyMBSQIiIGZHLhfzfTr7/+yrlz56zhFxISwoULF9izZ491zObNm8nPz6d+/foABAcHs337dnJycqxjEhMTqVGjRqHbq6CAFBExJJPJdTdnZGZmkpycTHJyMgAnTpwgOTmZlJQUMjMzmTp1KklJSZw4cYJNmzYxYMAAqlevTosWLQDw9/enRYsWvPbaa+zatYsdO3bwxhtv0L59eypUqABAx44dcXd3Z8yYMRw8eJCVK1eycOHCAm1gh++RxWKxOPfybn+Xc4t6BmIUZRrb/xyXiKtd2jnH8SAnrNx72mXHeuyB8oUeu2XLFnr06FFge2RkJOPHj+fll1/mp59+4uLFi5QvX57mzZszePBgm9bouXPneOONN/j2229xc3OjXbt2jB07lpIlS1rH7Nu3j4kTJ7J7927KlCnD888/T9++fZ16XQpIkb9AASm3iqsDcvXeVJcd65EH7H9m8U6nVawiIgakS7E6pnOQIiIidqiCFBExIFWQjikgRUQM6GZ/PONuoBariIiIHaogRUQMyE0FpEMKSBERA1KL1TG1WEVEROxQBSkiYkBaxeqYAlJExIDUYnVMLVYRERE7VEGKiBiQVrE6poAUETEgtVgdU0AaxIL5/2TWzBl0e74HI0aNASAtNZW3Zkxjc2IimVmZ3HdfDV7q24827R62Pu7Rtq1JSTlpc6xBrwyjz0vOfW2M3D1eejqCl55qQXW/sgAkH/6VKf9cxX82/kS1SmXZv3Ki3cd1G76AZWt3Ui+wMq/2akt4sD/l7i3J0ZQzvPvZBuZ+vM46Njy4JpMGP0HgfRUp4eHOsVNnWLB0I7MXf3crXqIIoIA0hD27d/HZv5YQGBhks33M6JFcvHCBt+e8Q5kyZVj51ZcMH/YKH326lDp17reOGxA9iM5PPWO9X+J337kmxnPyt3O8NvtzDh1LxYSJ5zs25V9/70uzrnHs/+U37mszymZ8787NGdKjDV9v3AtASJ2qpJ65SK+xH3Di17M0a1CTuWOfJS8/n3mf/BeAzEvZzPvkv+w+cJLMS9mEh/gzZ2xXMi9l896yjbf8Nd+NtIrVMQXkXS4rM5NRI4czbsIk5se/Y7Pvx507GfP6OOrVrw9A334D+HDhByTv3WsTkCVLlsTH9+78vjdx3sr/7rG5P37ul7z0dARN6tcg+fCv/JZ+0Wb/460asHTND2ReygZg4eebbfb/cjKdpvVr8ETrBtaA/HH/CX7cf8I65tipMzzZugHNQ/wVkC6ifHRMq1jvclMmTeTBB1vSLCy8wL4GISF8vXoV58+dIz8/n1Urv+JK9hVCGzexGffeu/N5MLwpz3R+kvffe5fcXH0jtVzl5mbi6YcbUdLTzJZdRwrsD6lTleDaVflgxaYbHqe0lwdnL2Rdd3+DoCo0bVCT9T8c/MtzFiksVZB3sVUrvyI5+Sc++uQzu/vfnDGTEcOG8GDzphQvXhwPDw/+/vYcqlWvbh3zbLfu1Ln/fkqXLk1S0k5mzXyL1NRUho8cZfeYYgwPBPix7oNheJiLk3HpCl2GzWff4V8LjHvhyTCSD59i848Fw/OaZg1q8FS7RkQOeqfAvkOr38CnjBfFixVjUvxK3l9+46CVwnNTj9Wh2zogT506xaxZs4iNjS3qqdxxfj11imlxk4mf/x733HOP3TFzZ7/NxYsX+OeC97n33jJ89+1aRgx7hYSFi6n1/+cre/TsZR0fGFQbd3d3Jk0Yx+AhwzCbzbfktcjt58Avv9G0ayylvTyJbBPC/Indaffi2zYh6XGPO10eDSVu/urrHud+/0p8+ve+TP7nSr7ZvK/A/od6z8SrxD00qXcfbwx6gsPHU/l09Y6b8pqMRvHo2G0dkOfPn2fFihUKyD/hp5/2ciY9na5Pd7Juy8vLY8f2bSz5eDGf/3s1Sz76kKWf/5uAgFoABNWuzQ87trPk48W8Ns7+SsR69RuQm5tLyskT3Fej5i15LXL7ycnN4/DxNAB2Jh+n0QPVePnZvzFw8hLrmMg2wZTwMLP431vtHqN2zYqsjB/Ie0sTmfru13bHHE1JB2DvoRTKl/NmTNRjCki5ZYo0IL/55psb7j9+/Pgtmsndp2mzZny24kubbePGjOK+mjXp1eclLl++BICbyfY0tJtbMSz5lused/++ZNzc3ChbtpzrJy13LDeTiXvMtv+c9HwynK++303a2YwC4+vUrMiqfw5i8ZdbGD/3ywL77T6HW8HnkL9AJaRDRfp/28svv4zJZMJiuf4/yCb1yf+UkiW9qFUr0GabZ4kS3Fv6XmrVCiQnJ4dq1arzxoTXGfrqSO69916+/XYtmzdtZPY/4gH4MWknu3f9SOMmzShZsiQ//riTN6fG0r7D45QqXbooXpbcBiYOfJyvN+7l+KmzeJf0oMujoTwYWouOA/5hHVOzqg8RDf15cmDB84r3+1di1T8HsTYxmVkffkuFct4A5OVbrGEa9cyDHP/1DPt/+Q2AiIYBvNL9If7x8fe34BUagy4U4FiRBqSvry/jxo2jTZs2dvcnJyfTqVMnu/vkr3F3d2fOvH/y9lszGBTdj6ysLKpVrcYbU+Jo8WBLAMxmM6tXrWTeP+aQnZ1N5cpV6N6jJ91f6OXg6HI38y3rxYI3elDRpxTnMy6z5+BJOg74B99u+d85xBeeCOPkb+dYu6ngecXINiGUL+vNcx2a8FyH/62YPpqSTu3244Cr1eLEgY9zX+Vy5Obmc/hEGmNnfc67n+kjHnLrmCw3Kt9usn79+lGnTh0GDx5sd/++fft48skn2bev4F+yG7msTyHILVKmcXRRT0EM4tLOOS493tbD5112rCY1786OUpFWkC+++CJZWdf/7FO1atVYuHDhLZyRiIgxqMHqWJEGZGho6A33lyhRgiZNmtxwjIiIyM2gJWEiIkakEtIhBaSIiAFpFatjuhariIiIHaogRUQMSB8xd0wVpIiIiB2qIEVEDEgFpGMKSBERI1JCOqQWq4iIiB2qIEVEDEgf83BMASkiYkBaxeqYWqwiIiJ2qIIUETEgFZCOKSBFRIxICemQWqwiIiJ2qIIUETEgrWJ1TAEpImJAWsXqmFqsIiIidqiCFBExIBWQjikgRUSMSAnpkFqsIiIidqiCFBExIK1idUwBKSJiQFrF6pharCIiInYoIEVEDMjkwpsztm3bRr9+/YiIiCAoKIi1a9fa7LdYLLz99ttERERQv359evbsyS+//GIz5ty5cwwbNoyGDRsSGhrK6NGjyczMtBmzb98+nnvuOerVq0fLli2ZP3++kzNVQIqIGFMRJWRWVhZBQUGMGzfO7v758+ezaNEixo8fz6effoqnpyd9+vThypUr1jGvvvoqhw4dIiEhgXnz5rF9+3Zef/116/6MjAz69OmDn58fy5YtY8SIEcyZM4dPPvnEqbnqHKSIiNwyLVu2pGXLlnb3WSwWFi5cSP/+/WnTpg0A06ZNIzw8nLVr19K+fXt+/vln1q9fz2effUa9evUAGDt2LH379mXEiBFUqFCBL774gpycHKZMmYLZbKZWrVokJyeTkJBAly5dCj1XVZAiIgZkcuF/2dnZZGRk2Nyys7OdntOJEydITU0lPDzcus3b25sGDRqwc+dOAHbu3EmpUqWs4QgQHh6Om5sbu3btAiApKYnQ0FDMZrN1TEREBEeOHOH8+fOFno8CUkTEgEwm193i4+Np1KiRzS0+Pt7pOaWmpgJQrlw5m+3lypUjLS0NgLS0NMqWLWuzv3jx4pQuXdr6+LS0NHx8fGzGXLt/7TiFoRariIj8JVFRUfTq1ctm2++rtzuVAlJExIBc+TFIs9nskkD09fUFID09nfLly1u3p6enU7t2beBqJXjmzBmbx+Xm5nL+/Hnr4318fApUitfu/7GyvBG1WEVEjKioPudxA1WqVMHX15dNmzZZt2VkZPDjjz8SEhICQEhICBcuXGDPnj3WMZs3byY/P5/69esDEBwczPbt28nJybGOSUxMpEaNGpQuXbrQ81FAiojILZOZmUlycjLJycnA1YU5ycnJpKSkYDKZ6NGjB++88w7ffPMN+/fvZ8SIEZQvX966qtXf358WLVrw2muvsWvXLnbs2MEbb7xB+/btqVChAgAdO3bE3d2dMWPGcPDgQVauXMnChQsLtIEdMVksFotrX37Ru5xb1DMQoyjTOLqopyAGcWnnHJce7+Bvl1x2rFoVPAs9dsuWLfTo0aPA9sjISOLi4rBYLMyaNYtPP/2UCxcu0KhRI8aNG0eNGjWsY8+dO8cbb7zBt99+i5ubG+3atWPs2LGULFnSOmbfvn1MnDiR3bt3U6ZMGZ5//nn69u3r1OtSQIr8BQpIuVVcHZCHTrsuIAPKFz4g7yRqsYqIiNihVawiIgakL/NwTAEpImJESkiH1GIVERGxQxWkiIgBmVRCOqSAFBExIJPy0SG1WEVEROxQBSkiYkAqIB1TQIqIGJES0iG1WEVEROxQBSkiYkBaxeqYAlJExIC0itUxtVhFRETsUAUpImJAKiAdU0CKiBiQWqyOqcUqIiJihypIERFDUgnpiAJSRMSA1GJ1TC1WERERO1RBiogYkApIxxSQIiIGpBarY2qxioiI2KEKUkTEgHQtVscUkCIiRqR8dEgtVhERETtUQYqIGJAKSMcUkCIiBqRVrI6pxSoiImKHKkgREQPSKlbHFJAiIkakfHRILVYRERE7VEGKiBiQCkjHFJAiIgakVayOqcUqIiJihypIERED0ipWxxSQIiIGpBarY2qxioiI2KGAFBERsUMtVhERA1KL1TFVkCIiInaoghQRMSCtYnVMASkiYkBqsTqmFquIiIgdqiBFRAxIBaRjCkgRESNSQjqkFquIiIgdqiBFRAxIq1gdU0CKiBiQVrE6phariIjcMrNnzyYoKMjm9sgjj1j3X7lyhQkTJtC0aVNCQkIYOHAgaWlpNsdISUmhb9++NGjQgLCwMKZOnUpubq7L56oKUkTEgIqygKxVqxYJCQnW+8WKFbP+PGXKFL7//ntmzpyJt7c3b7zxBtHR0SxZsgSAvLw8oqKi8PHxYcmSJZw+fZqRI0fi7u7O0KFDXTpPVZAiIkZkcuHNScWKFcPX19d6K1u2LAAXL15k6dKlxMTEEBYWRt26dZkyZQo7d+4kKSkJgA0bNnDo0CHefPNN6tSpQ8uWLRk8eDCLFy8mOzv7T78d9iggRUTkL8nOziYjI8PmdqOwOnr0KBERETz00EMMGzaMlJQUAPbs2UNOTg7h4eHWsf7+/vj5+VkDMikpicDAQHx8fKxjIiIiyMjI4NChQy59XWqxiogYkCtXscbHxzNnzhybbdHR0QwcOLDA2Pr16xMbG0uNGjVITU1l7ty5dOvWjS+//JK0tDTc3d0pVaqUzWPKlStHamoqAGlpaTbhCFjvXxvjKgpIEREDcuUq1qioKHr16mWzzWw22x3bsmVL68+1a9emQYMGtGrVilWrVuHh4eG6SbmAWqwiIvKXmM1mvLy8bG7XC8g/KlWqFPfddx/Hjh3Dx8eHnJwcLly4YDMmPT0dX19f4Gq1+MdVrdfuXxvjKndlBelxV74quR1d2jnH8SCR29Dt8u9kZmYmx48fx9fXl7p16+Lu7s6mTZt4+OGHATh8+DApKSkEBwcDEBwczLx580hPT6dcuXIAJCYm4uXlRUBAgEvndpu8RSIiYgRTp06lVatW+Pn5cfr0aWbPno2bmxsdOnTA29ubzp07ExcXR+nSpfHy8mLSpEmEhIRYAzIiIoKAgABGjBjB8OHDSU1NZebMmXTr1q3QVWthmSwWi8WlRxQREbmOIUOGsG3bNs6dO0fZsmVp1KgRQ4YMoVq1asDVCwXExcXx1VdfkZ2dTUREBOPGjbNpn548eZLx48ezdetWPD09iYyMZNiwYRQv7tqaTwEpIiJihxbpiIiI2KGAFBERsUMBKSIiYocCUkRExA4FpIiIiB0KSBERETsUkCIiInYoIIXFixfTunVr6tWrx9NPP82uXbuKekpyF9q2bRv9+vUjIiKCoKAg1q5dW9RTErkhBaTBrVy5ktjYWF5++WWWL19O7dq16dOnD+np6UU9NbnLZGVlERQUxLhx44p6KiKFoivpGNzTTz9NvXr1eP311wHIz8+nZcuWdO/enb59+xbx7ORuFRQUxNy5c2nTpk1RT0XkulRBGlh2djZ79+61+fZuNzc3wsPD2blzZxHOTESk6CkgDezs2bPk5eVZvzLmmnLlyhX4vjUREaNRQIqIiNihgDSwMmXKUKxYsQILctLT0/Hx8SmiWYmI3B4UkAZmNpt54IEH2LRpk3Vbfn4+mzZtIiQkpAhnJiJS9Fz77ZJyx+nVqxcjR46kbt261K9fnw8++IBLly7RqVOnop6a3GUyMzM5duyY9f6JEydITk6mdOnS+Pn5FeHMROzTxzyEDz/8kAULFpCamkqdOnUYO3YsDRo0KOppyV1my5Yt9OjRo8D2yMhI4uLiimBGIjemgBQREbFD5yBFRETsUECKiIjYoYAUERGxQwEpIiJihwJSRETEDgWkiIiIHQpIEREROxSQIiIidigg5a4WExPDgAEDrPe7d+/O5MmTb/k8tmzZQlBQEBcuXPhTj1+2bBmhoaEunpWI3IiuxSq3XExMDMuXLwfA3d2dSpUq8cQTT9CvXz+KF7+5/0vOnj270M9x7dJo27Zto1SpUjd1XiJy+1FASpFo0aIFsbGxZGdn8/333zNx4kTc3d2JiooqMDY7Oxuz2eyS57333ntdchwRufupxSpFwmw24+vrS+XKlXnuuecIDw/n22+/Bf7XFn3nnXeIiIjgkUceAeDUqVMMHjyY0NBQmjRpQv/+/Tlx4oT1mHl5ecTGxhIaGkrTpk2ZNm0af7zU8B9brNnZ2bz55pu0bNmSunXr0rZtW/71r39x4sQJ64W1GzduTFBQEDExMcDVrwSLj4+ndevW1K9fn8cff5zVq1fbPM/333/Pww8/TP369enevTsnT550+J5cuHCB119/nfDwcOrVq0eHDh347rvv7I49duwY/fv3Jzw8nJCQEDp37kxiYqLNmMWLF9OuXTvq1atHeHg4gwYNsu5bvXo1HTt2pH79+jRt2pSePXuSlZXlcI4iRqIKUm4L99xzD+fOnbPe37RpE15eXiQkJACQk5NDnz59CA4OZvHixRQvXpx//OMfvPjii3zxxReYzWbee+89li9fzpQpU/D39+e9995jzZo1NGvW7LrPO2LECJKSkhg7diy1a9fmxIkTnD17lkqVKjF79mwGDhzI6tWr8fLywsPDA4D4+Hi++OILJkyYwH333ce2bdsYPnw4ZcuWpUmTJpw6dYro6Gi6devGM888w549e5g6deoNX39+fj4vvfQSmZmZvPnmm1SrVo1Dhw7h5mb/d9isrCxatmzJkCFDMJvNrFixgn79+rF69Wr8/PzYvXs3kydPZtq0aYSEhHD+/Hm2b98OwOnTpxk2bBjDhw+nTZs2ZGZmsn379gK/TIgYnQJSipTFYmHTpk1s2LCB559/3rq9RIkSTJo0ydpa/fzzz8nPz2fy5MmYTCYAYmNjady4MVu3biUiIoIPPviAvn370q5dOwAmTJjAhg0brvvcR44cYdWqVSQkJBAeHg5A1apVrftLly4NQLly5aznILOzs4mPjychIcH6pdJVq1Zlx44dfPLJJzRp0oSPP/6YatWqWSvOmjVrcuDAAebPn3/duSQmJrJr1y5WrlxJjRo1Cszlj2rXrk3t2rWt91955RXWrl3Lt99+y/PPP8+pU6fw9PTkb3/7G15eXlSuXJn7778fgNTUVHJzc2nbti2VK1cGICgo6LrPJWJUCkgpEuvWrSMkJIScnBwsFgsdOnRg4MCB1v2BgYE25x337dvHsWPHaNiwoc1xrly5wrFjx7h48SKpqak232NZvHhx6tate93KKDk5mWLFitG4ceNCz/vo0aNcunSJ3r1722zPycmhTp06APz888/Ur1/fZn9wcPANj5ucnEzFihWt4ehIZmYmc+bMYd26daSmppKXl8fly5dJSUkBIDw8HD8/P9q0aUOLFi1o0aIFbdu2xdPTk9q1axMWFkbHjh2JiIggIiKChx9+2PoLgYhcpYCUItG0aVPGjx+Pu7s75cuXL7Cy1NPT0+Z+VlYWDzzwANOnTy9wrLJly/6pOVxrmTrj2nm6+Ph4KlSoYLPvrywkcnYuU6dOJTExkZEjR1KtWjU8PDwYNGgQOTk5AHh5ebF8+XK2bt3Khg0bmDVrFnPmzOGzzz6jVKlSJCQk8MMPP7Bx40YWLVrE3//+dz799NMbVq0iRqNFOlIkPD09qV69On5+foX62MUDDzzA0aNHKVeuHNWrV7e5eXt74+3tja+vLz/++KP1Mbm5uezdu/e6xwwMDCQ/P59t27bZ3e/u7g5cXfxzjb+/P2azmZSUlALzqFSpknXM7t27bY71+3nZExQUxK+//sqRI0du/Eb8v507dxIZGUnbtm0JCgrCx8enwEKg4sWLEx4ezogRI/jiiy84efIkmzdvBsBkMtGoUSMGDRrEihUrcHd3Z+3atYV6bhGjUEDKHaFjx46UKVOG/v37s337do4fP86WLVuYNGkSv/76KwA9evRg/vz5rF27lp9//pkJEybc8IP5VapUITIyktGjR7N27VrrMVeuXAlA5cqVMZlMrFu3jjNnzpCZmYmXlxe9e/cmNjaW5cuXc+zYMfbu3cuiRYusn+3s2rUrv/zyC1OnTuXw4cN8+eWX1n3X06RJE0JDQxk0aBAbN27k+PHjfP/99/z3v/+1O7569eqsWbOG5ORk9u3bx7Bhw8jPz7fu/+6771i4cCHJycmcPHmSFStWkJ+fT40aNfjxxx+ZN28eu3fvJiUlhf/85z+cOXOGmjVrOvVnInK3U4tV7gienp58+OGHTJ8+nejoaDIzM6lQoQJhYWF4eXkB0Lt3b1JTUxk5ciRubm507tyZtm3bcvHixesed/z48bz11luMHz+ec+fO4efnZ/0sZoUKFRg4cCAzZsxg1KhRPPnkk8TFxfHKK69QtmxZ4uPjOXHiBN7e3tx///3069cPAD8/P2bPnk1sbCwffvgh9evXZ8iQIYwePfqGr3H27NlMnTqVoUOHcunSJapXr86wYcPsjo2JiWH06NF07dqVMmXKWFfAXuPt7c2aNWuYM2cOV65coXr16syYMYNatWrx888/s23bNj744AMyMjLw8/MjJiaGli1bOvVnInK3M1m0tltERKQAtVhFRETsUECKiIjYoYAUERGxQwEpIiJihwJSRETEDgWkiIiIHQpIEREROxSQIiIidiggRURE7FBAioiI2KGAFBERseP/AOx/nYR/Z49uAAAAAElFTkSuQmCC",
|
||
"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": 21,
|
||
"id": "dd49203934ca9cf6",
|
||
"metadata": {
|
||
"ExecuteTime": {
|
||
"end_time": "2024-03-22T01:57:06.089445Z",
|
||
"start_time": "2024-03-22T01:57:05.915199Z"
|
||
},
|
||
"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": 22,
|
||
"id": "81f2d793ada5c410",
|
||
"metadata": {
|
||
"ExecuteTime": {
|
||
"end_time": "2024-03-22T01:57:06.215240Z",
|
||
"start_time": "2024-03-22T01:57:06.090482Z"
|
||
},
|
||
"collapsed": false
|
||
},
|
||
"outputs": [
|
||
{
|
||
"data": {
|
||
"image/png": 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",
|
||
"text/plain": [
|
||
"<IPython.core.display.Image object>"
|
||
]
|
||
},
|
||
"execution_count": 22,
|
||
"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": [
|
||
"# Learning Curve"
|
||
]
|
||
},
|
||
{
|
||
"cell_type": "code",
|
||
"execution_count": 23,
|
||
"id": "6b7329b28452b82a",
|
||
"metadata": {
|
||
"ExecuteTime": {
|
||
"end_time": "2024-03-22T01:57:06.438601Z",
|
||
"start_time": "2024-03-22T01:57:06.216812Z"
|
||
},
|
||
"collapsed": false
|
||
},
|
||
"outputs": [
|
||
{
|
||
"data": {
|
||
"image/png": 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",
|
||
"text/plain": [
|
||
"<Figure size 1000x600 with 1 Axes>"
|
||
]
|
||
},
|
||
"metadata": {},
|
||
"output_type": "display_data"
|
||
}
|
||
],
|
||
"source": [
|
||
"# Learning Curve\n",
|
||
"plot_learning_curve(history)"
|
||
]
|
||
},
|
||
{
|
||
"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": 24,
|
||
"id": "c8745832a585d5ec",
|
||
"metadata": {
|
||
"ExecuteTime": {
|
||
"end_time": "2024-03-22T01:57:59.927194Z",
|
||
"start_time": "2024-03-22T01:57:06.439953Z"
|
||
},
|
||
"collapsed": false
|
||
},
|
||
"outputs": [
|
||
{
|
||
"name": "stdout",
|
||
"output_type": "stream",
|
||
"text": [
|
||
"Epoch 1/20\n",
|
||
"1050/1050 [==============================] - 4s 3ms/step - loss: 0.8988 - accuracy: 0.6196 - val_loss: 0.6904 - val_accuracy: 0.7567\n",
|
||
"Epoch 2/20\n",
|
||
"1050/1050 [==============================] - 2s 2ms/step - loss: 0.7731 - accuracy: 0.7056 - val_loss: 0.6363 - val_accuracy: 0.8067\n",
|
||
"Epoch 3/20\n",
|
||
"1050/1050 [==============================] - 2s 2ms/step - loss: 0.7011 - accuracy: 0.7540 - val_loss: 0.5887 - val_accuracy: 0.8325\n",
|
||
"Epoch 4/20\n",
|
||
"1050/1050 [==============================] - 2s 2ms/step - loss: 0.6524 - accuracy: 0.7857 - val_loss: 0.5532 - val_accuracy: 0.8401\n",
|
||
"Epoch 5/20\n",
|
||
"1050/1050 [==============================] - 2s 2ms/step - loss: 0.6162 - accuracy: 0.8072 - val_loss: 0.5304 - val_accuracy: 0.8464\n",
|
||
"Epoch 6/20\n",
|
||
"1050/1050 [==============================] - 3s 2ms/step - loss: 0.5863 - accuracy: 0.8198 - val_loss: 0.5081 - val_accuracy: 0.8505\n",
|
||
"Epoch 7/20\n",
|
||
"1050/1050 [==============================] - 2s 2ms/step - loss: 0.5610 - accuracy: 0.8303 - val_loss: 0.4914 - val_accuracy: 0.8540\n",
|
||
"Epoch 8/20\n",
|
||
"1050/1050 [==============================] - 2s 2ms/step - loss: 0.5424 - accuracy: 0.8359 - val_loss: 0.4776 - val_accuracy: 0.8562\n",
|
||
"Epoch 9/20\n",
|
||
"1050/1050 [==============================] - 2s 2ms/step - loss: 0.5191 - accuracy: 0.8426 - val_loss: 0.4652 - val_accuracy: 0.8571\n",
|
||
"Epoch 10/20\n",
|
||
"1050/1050 [==============================] - 2s 2ms/step - loss: 0.5023 - accuracy: 0.8474 - val_loss: 0.4518 - val_accuracy: 0.8586\n",
|
||
"Epoch 11/20\n",
|
||
"1050/1050 [==============================] - 3s 2ms/step - loss: 0.4875 - accuracy: 0.8497 - val_loss: 0.4405 - val_accuracy: 0.8611\n",
|
||
"Epoch 12/20\n",
|
||
"1050/1050 [==============================] - 3s 2ms/step - loss: 0.4733 - accuracy: 0.8530 - val_loss: 0.4282 - val_accuracy: 0.8630\n",
|
||
"Epoch 13/20\n",
|
||
"1050/1050 [==============================] - 3s 2ms/step - loss: 0.4616 - accuracy: 0.8570 - val_loss: 0.4215 - val_accuracy: 0.8648\n",
|
||
"Epoch 14/20\n",
|
||
"1050/1050 [==============================] - 2s 2ms/step - loss: 0.4468 - accuracy: 0.8593 - val_loss: 0.4098 - val_accuracy: 0.8668\n",
|
||
"Epoch 15/20\n",
|
||
"1050/1050 [==============================] - 2s 2ms/step - loss: 0.4351 - accuracy: 0.8648 - val_loss: 0.4016 - val_accuracy: 0.8692\n",
|
||
"Epoch 16/20\n",
|
||
"1050/1050 [==============================] - 2s 2ms/step - loss: 0.4239 - accuracy: 0.8666 - val_loss: 0.3943 - val_accuracy: 0.8706\n",
|
||
"Epoch 17/20\n",
|
||
"1050/1050 [==============================] - 3s 2ms/step - loss: 0.4156 - accuracy: 0.8688 - val_loss: 0.3873 - val_accuracy: 0.8714\n",
|
||
"Epoch 18/20\n",
|
||
"1050/1050 [==============================] - 3s 2ms/step - loss: 0.4003 - accuracy: 0.8758 - val_loss: 0.3794 - val_accuracy: 0.8744\n",
|
||
"Epoch 19/20\n",
|
||
"1050/1050 [==============================] - 2s 2ms/step - loss: 0.3932 - accuracy: 0.8753 - val_loss: 0.3710 - val_accuracy: 0.8774\n",
|
||
"Epoch 20/20\n",
|
||
"1050/1050 [==============================] - 2s 2ms/step - loss: 0.3883 - accuracy: 0.8763 - val_loss: 0.3649 - val_accuracy: 0.8771\n",
|
||
"263/263 [==============================] - 0s 1ms/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: 0.36488157510757446\n",
|
||
"Test accuracy: 0.8771428465843201\n",
|
||
"Classification Report: \n",
|
||
" precision recall f1-score support\n",
|
||
"\n",
|
||
" 0 0.84 0.92 0.88 4192\n",
|
||
" 1 0.92 0.83 0.87 4208\n",
|
||
"\n",
|
||
" accuracy 0.88 8400\n",
|
||
" macro avg 0.88 0.88 0.88 8400\n",
|
||
"weighted avg 0.88 0.88 0.88 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, dense_1, dense_2, and dense_3) 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 and dense_2 introduce a slight positive bias to the activations in subsequent layers, potentially affecting the model's predictions. The biases in dense_1 and dense_3 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": 25,
|
||
"id": "41091791008ff727",
|
||
"metadata": {
|
||
"ExecuteTime": {
|
||
"end_time": "2024-03-22T01:58:01.150249Z",
|
||
"start_time": "2024-03-22T01:57:59.928767Z"
|
||
},
|
||
"collapsed": false
|
||
},
|
||
"outputs": [
|
||
{
|
||
"data": {
|
||
"image/png": 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u16+fPvvsM6WkpOjkyZNq2rSpBgwYoMcee8xWx8/PTx9//LFmzpypr776Sh9++KEaNWqkgIAAPfXUU6bXdfToUduP9r3++uvFpsfFxZk6GLVr106bN2+2CxX+/v66+uqrtW/fvmIBqm7dupo/f76Sk5P1r3/9S8uXL5eXl5euueYajRw58pJfjg0JCdHs2bM1depUvfnmm7riiis0atQo7dmzx3YXJEe1adNGo0eP1qJFi7R27VoVFhZqzZo16ty5s/744w8tWbJER44ckY+Pj2688cZS2wgAlYlj1jlmj1kdOnRQeHi4Zs6cqczMTAUEBCgpKUmtWrW66Dw+Pj6aNWuWXn31VU2fPl0NGzbU3XffraioKLvQGRQUpJiYGH399dc6ePCg6tatq6CgIM2ePVvh4eG2ema2g9lloWZzM8x8axsAyuCxxx5TRkaGvvzyS1c3BQAAwCn4DhQApzh9+rTd87179+q7777TjTfe6KIWAQAAOB+X8AGV6PDhw5f8QUAPDw81atSo8hrkRF26dFFcXJxatGihP/74Q4sWLZKHh8dFb4sOAKjaavIxCygPAhRQie677z798ccfF51+4403av78+ZXYIufp2LGjVqxYoaysLHl6eio8PFxPPvmkU38/CgBQeWryMQsoD74DBVSiH374QWfOnLno9IYNGyokJKQSWwQAQMk4ZgElI0ABAAAAgEncRAIAAAAATCJAAQAAAIBJBCgAAAAAMIm78EmyWo/L0W+CublJvr4NyjQvSsf4VizGt2IxvqUrGiOU7Px9p6btTzWtPxJ9qg5qWn+kmtenqtAfs8cmApQkw1CZN1R55kXpGN+KxfhWLMYXZVXSvlPT9qea1h+JPlUHNa0/Us3rU3XoD5fwAQAAAIBJBCgAAAAAMIkABQAAAAAmEaAAAAAAwCQCFAAAAACYRIACAAAAAJMIUAAAAABgEgEKAAAAAEwiQAEAAACASQQoAAAAADCJAAUAAAAAJhGgAAAwaePGjRo2bJhiYmIUFBSk1atXX7TuCy+8oKCgIL333nuV10AAQIUjQAEAYNLJkycVFBSkiRMnXrLeV199pS1btqhJkyaV1DIAQGWp5eoGAABQXcTGxio2NvaSdQ4ePKiXX35Zc+fO1dChQyupZQCAysIZKAAAnKSwsFBPP/20EhISdP3117u6OQCACsAZKKAas1jcZLG4lXl+d/fyfYZSWGiosNAo1zKAmmT27NmqVauWBg4cWK7luLkV/9ut7P/qVUpN649En85nsbjJzYUDYRglH5fYRlVfVeiP2XUToIBqymJxk3ejeqpVjhDk41O/XG04W1CoY0dPEqIASdu2bdO8efO0dOnScr+B9PVtYKqsOqtp/ZHokyQVFBpyL8cHe+VV2vrZRlVfdegPAQqopiwWN9Vyt2j0onRlHMqt9PUHNPHSm/dHyGJxI0ABkjZt2iSr1apOnTrZygoKCvTqq69q3rx5+ve//216WVbrcRn//2/l5nbuDcX5ZdVZTeuPRJ+KuLtb5ONT3+XHpSNHTqigoNBuGtuo6qsK/SlqQ2kIUEA1l3EoV9szc1zdDOCyd8899yg6OtquLCEhQffcc4969erl0LIMQ8XeQJRUVp3VtP5I9KlIVTguXazNbKOqrzr0hwAFAIBJJ06c0O+//257fuDAAe3cuVPe3t5q1qyZfHx87Op7eHjIz89P1113XWU3FQBQQQhQAACYtG3bNrsbRCQlJUmS4uLiNGXKFFc1CwBQiQhQAACYFBkZqV27dpmu78j3ngAA1QO/AwUAAAAAJhGgAAAAAMAkAhQAAAAAmESAAgAAAACTCFAAAAAAYBIBCgAAAABMIkABAAAAgEkEKAAAAAAwiQAFAAAAACYRoAAAAADAJAIUAAAAAJhEgAIAAAAAkwhQAAAAAGASAQoAAAAATCJAAQAAAIBJBCgAAAAAMIkABQAAAAAmEaAAAAAAwCQCFAAAAACYRIACAAAAAJMIUAAAAABgEgEKAAAAAEwiQAEAAACASQQoAAAAADCJAAUAAAAAJjkUoN566y0FBQXZPe644w7b9DNnzigxMVGRkZGKiIjQyJEjlZ2dbbeMzMxMDRkyRGFhYYqKitKrr76qs2fP2tXZsGGD4uLiFBISoq5du2rp0qXF2rJw4UJ17txZoaGh6tOnj7Zu3epIVwAAAADAYQ6fgbr++uu1bt062+ODDz6wTZs8ebK+/vprTZ8+XfPnz9ehQ4c0YsQI2/SCggINHTpU+fn5WrRokaZMmaJly5ZpxowZtjr79+/X0KFDFRkZqU8//VQPPfSQJkyYoLVr19rqrFy5UklJSRo+fLiWLVumVq1aKSEhQVartazjAAAAAAClcjhAubu7y9/f3/Zo3LixJOn48eNasmSJxo0bp6ioKIWEhGjy5MlKT0/X5s2bJUnr1q1TRkaGXnvtNbVu3VqxsbEaPXq0Fi5cqLy8PEnSokWL1Lx5c40bN04tW7ZUfHy8unXrpvfee8/WhpSUFPXt21e9e/dWQECAEhMTVadOHS1ZsqT8IwIAAAAAF+FwgNq3b59iYmJ02223acyYMcrMzJQkbdu2Tfn5+YqOjrbVbdmypZo1a2YLUJs3b1ZgYKD8/PxsdWJiYpSbm6uMjAxbnaioKLt1xsTE2JaRl5en7du3263HYrEoOjpa6enpjnZHkuTmVrZHeeblwfg6Y3yqClePRVV8MC7mxggAgOqmliOV27Rpo6SkJF177bXKysrSzJkz1b9/f3322WfKzs6Wh4eHGjZsaDePr6+vsrKyJEnZ2dl24UmS7XlpdXJzc3X69GkdO3ZMBQUF8vX1LbaePXv2ONKd8+ZtUKb5yjsvSsf4Vn0+PvVd3YQqi/0XAICax6EAFRsba/u7VatWCgsLU6dOnbRq1SrVqVPH6Y2rLFbrcRmGY/O4uZ17c1SWeVE6xrd07u6WKhFejhw5oYKCQlc3o0ph/y1d0RgBAFDdOBSgLtSwYUNdc801+v333xUdHa38/Hzl5OTYnYWyWq3y9/eXdO5M0oV3yyu6S9/5dS68c192dra8vLxUp04dWSwWubu7F7thhNVqLXbmyizDUJnf5JRnXpSO8a0e2EYlY/8FAKDmKdfvQJ04cUL79++Xv7+/QkJC5OHhodTUVNv0PXv2KDMzU+Hh4ZKk8PBw/fLLL3bhZ/369fLy8lJAQICtTlpamt161q9fb1uGp6engoOD7dZTWFio1NRURURElKc7AAAAAHBJDgWoV199Vd9//70OHDigH3/8USNGjJDFYtGdd96pBg0aqHfv3poyZYrS0tK0bds2jR8/XhEREbbwExMTo4CAAI0dO1Y///yz1q5dq+nTp6t///7y9PSUJN1///3av3+/pk6dqt27d2vhwoVatWqVBg0aZGvH4MGDtXjxYi1btky7d+/Wiy++qFOnTqlXr15OGxgAAAAAuJBDl/D9+eefevLJJ3X06FE1btxY7dq10+LFi223Mh8/frwsFotGjRqlvLw8xcTEaOLEibb53d3dNWvWLL344ovq16+f6tatq7i4OI0aNcpWp0WLFkpOTlZSUpLmzZunpk2batKkSerYsaOtTo8ePXT48GHNmDFDWVlZat26tebMmVPmS/gAAAAAwAyHAtTf/va3S06vXbu2Jk6caBeaLnTllVdq9uzZl1xOZGSkli9ffsk68fHxio+Pv2QdAAAAAHCmcn0HCgAAAAAuJwQoAAAAADCJAAUAAAAAJhGgAAAAAMAkAhQAAAAAmESAAgAAAACTCFAAAJi0ceNGDRs2TDExMQoKCtLq1att0/Lz8/Xaa6/prrvuUnh4uGJiYjR27FgdPHjQhS0GADgbAQoAAJNOnjypoKCgEn/v8PTp09qxY4ceffRRLV26VG+//bZ+++03Pfrooy5oKQCgojj0Q7oAAFzOYmNjFRsbW+K0Bg0aKCUlxa7s+eefV58+fZSZmalmzZpVRhMBABWMAAUAQAXJzc2Vm5ubGjZs6NB8bm7F/z6/rDqraf2R7PtksbjJzYWdc3OTDMM5y5GkWrUsppfn7l51Lmy6cBPU9P2uJqgK/TG7bgIUAAAV4MyZM5o2bZp69uwpLy8vh+b19W1gqqw6q2n9kc71qaDQkLvFde8Anb3+Ro3qO21ZlcXH5+Jtrqn7XU1SHfpDgAIAwMny8/M1evRoGYahxMREh+e3Wo/bPvV3czv3huL8suqspvVH+l+fjh49oUaN6mv0onRlHMqt9HbcGuSvp7u1cvn6Xe3IkRMqKCi0K6vJ+11N6VNV6E9RG0pDgAIAwIny8/P1+OOPKzMzU++//77DZ5+kc5dgXfgGoqSy6qym9Uf6X38yDuVqe2ZOpa+/pX/9KrH+quBi+1ZN3e9qUp+qQ38IUAAAOElReNq3b5/mzZsnHx8fVzcJAOBkBCgAAEw6ceKEfv/9d9vzAwcOaOfOnfL29pa/v79GjRqlHTt2KDk5WQUFBcrKypIkeXt7y9PT01XNBgA4EQEKAACTtm3bpoEDB9qeJyUlSZLi4uI0YsQI/fvf/5Yk3XPPPXbzzZs3T5GRkZXXUABAhSFAAQBgUmRkpHbt2nXR6ZeaBgCoGarODfsBAAAAoIojQAEAAACASQQoAAAAADCJAAUAAAAAJhGgAAAAAMAkAhQAAAAAmESAAgAAAACTCFAAAAAAYBIBCgAAAABMIkABAAAAgEkEKAAAAAAwiQAFAAAAACYRoAAAAADAJAIUAAAAAJhEgAIAAAAAkwhQAAAAAGASAQoAAAAATCJAAQAAAIBJBCgAAAAAMIkABQAAAAAmEaAAAAAAwCQCFAAAAACYRIACAAAAAJMIUAAAAABgEgEKAAAAAEwiQAEAAACASQQoAAAAADCJAAUAAAAAJhGgAAAAAMAkAhQAAAAAmESAAgAAAACTCFAAAAAAYBIBCgAAAABMIkABAAAAgEkEKAAAAAAwiQAFAAAAACYRoAAAAADAJAIUAAAAAJhUrgD17rvvKigoSK+88oqt7MyZM0pMTFRkZKQiIiI0cuRIZWdn282XmZmpIUOGKCwsTFFRUXr11Vd19uxZuzobNmxQXFycQkJC1LVrVy1durTY+hcuXKjOnTsrNDRUffr00datW8vTHQAAAAC4pDIHqK1bt2rRokUKCgqyK588ebK+/vprTZ8+XfPnz9ehQ4c0YsQI2/SCggINHTpU+fn5WrRokaZMmaJly5ZpxowZtjr79+/X0KFDFRkZqU8//VQPPfSQJkyYoLVr19rqrFy5UklJSRo+fLiWLVumVq1aKSEhQVartaxdAgAAAIBLKlOAOnHihJ5++mlNmjRJ3t7etvLjx49ryZIlGjdunKKiohQSEqLJkycrPT1dmzdvliStW7dOGRkZeu2119S6dWvFxsZq9OjRWrhwofLy8iRJixYtUvPmzTVu3Di1bNlS8fHx6tatm9577z3bulJSUtS3b1/17t1bAQEBSkxMVJ06dbRkyZKyjwYAAAAAXEKZAtRLL72k2NhYRUdH25Vv27ZN+fn5duUtW7ZUs2bNbAFq8+bNCgwMlJ+fn61OTEyMcnNzlZGRYasTFRVlt+yYmBjbMvLy8rR9+3a79VgsFkVHRys9Pd3h/ri5le1Rnnl5ML7OGJ+qwtVjURUfjIu5MapuNm7cqGHDhikmJkZBQUFavXq13XTDMPTmm28qJiZGbdq00aBBg7R3717XNBYAUCFqOTrDihUrtGPHDn3yySfFpmVnZ8vDw0MNGza0K/f19VVWVpatzvnhSZLteWl1cnNzdfr0aR07dkwFBQXy9fUttp49e/Y42iX5+jZweB5nzIvSMb5Vn49PfVc3ocpi/615Tp48qaCgIPXu3dvu8vQis2fP1vz58zVlyhQ1b95cb775phISErRy5UrVrl3bBS0GADibQwHqv//9r1555RX94x//qFEHAqv1uAzDsXnc3M69OSrLvCgd41s6d3dLlQgvR46cUEFBoaubUaWw/5auaIyqm9jYWMXGxpY4zTAMzZs3T48++qi6dOkiSZo6daqio6O1evVq9ezZszKbCgCoIA4FqO3bt8tqtapXr162soKCAm3cuFELFy7U3LlzlZ+fr5ycHLuzUFarVf7+/pLOnUm68G55RXfpO7/OhXfuy87OlpeXl+rUqSOLxSJ3d/diN4ywWq3FzlyZYRgq85uc8syL0jG+1QPbqGTsv5eXAwcOKCsry+7y8gYNGigsLEzp6ekOBajzL3E8/5LQmqCm9UeqmX2q7i7cFjVxG9W0PlWF/phdt0MB6qabbtJnn31mV/bss8/quuuu0yOPPKIrrrhCHh4eSk1NVbdu3SRJe/bsUWZmpsLDwyVJ4eHhmjVrlqxWq+0SvPXr18vLy0sBAQG2Ot99953detavX29bhqenp4KDg5Wammr7lK+wsFCpqamKj493pEsAADhF0WXoJV1efuGHgqUp6excdTxjdyk1rT+S1KiR668KwKUvLa+J+11N61N16I9DAcrLy0uBgYF2ZfXq1VOjRo1s5b1799aUKVPk7e0tLy8vTZo0SREREbbwExMTo4CAAI0dO1ZPP/20srKyNH36dPXv31+enp6SpPvvv18LFy7U1KlT1bt3b6WlpWnVqlVKTk62rXfw4MF65plnFBISojZt2uj999/XqVOn7M6OAQBQHZ1/+WdNuyS0pvVH+l+fjh49QYiqAkq6tLwm73c1pU9VoT9mLy93+CYSpRk/frwsFotGjRqlvLw8xcTEaOLEibbp7u7umjVrll588UX169dPdevWVVxcnEaNGmWr06JFCyUnJyspKUnz5s1T06ZNNWnSJHXs2NFWp0ePHjp8+LBmzJihrKwstW7dWnPmzCnTJXwAAJRX0WXoVqtVTZo0sZVbrVa1atXKoWWVdPlnTbsktKb1R6p5/anOLrYtaup+V5P6VB36U+4ANX/+fLvntWvX1sSJE+1C04WuvPJKzZ49+5LLjYyM1PLlyy9ZJz4+nkv2AABVQvPmzeXv76/U1FS1bt1akpSbm6stW7bogQcecHHrAADO4vQzUAAA1FQnTpzQ77//bnt+4MAB7dy5U97e3mrWrJkGDhyod955R1dffbXtNuZNmjSxfV8XAFD9EaAAADBp27ZtGjhwoO15UlKSJCkuLk5TpkzRI488olOnTumFF15QTk6O2rVrpzlz5tSon/4AgMsdAQoAAJMiIyO1a9eui053c3PT6NGjNXr06EpsFQCgMllc3QAAAAAAqC4IUAAAAABgEgEKAAAAAEwiQAEAAACASQQoAAAAADCJAAUAAAAAJhGgAAAAAMAkAhQAAAAAmESAAgAAAACTCFAAAAAAYBIBCgAAAABMIkABAAAAgEkEKAAAAAAwiQAFAAAAACYRoAAAAADAJAIUAAAAAJhEgAIAAAAAkwhQAAAAAGASAQoAAAAATCJAAQAAAIBJBCgAAAAAMIkABQAAAAAmEaAAAAAAwCQCFAAAAACYRIACAAAAAJMIUAAAAABgEgEKAAAAAEwiQAEAAACASQQoAAAAADCJAAUAAAAAJhGgAAAAAMAkAhQAAAAAmESAAgAAAACTCFAAAAAAYBIBCgAAAABMIkABAAAAgEkEKAAAAAAwiQAFAAAAACYRoAAAAADAJAIUAAAAAJhEgAIAAAAAkwhQAAA4SUFBgaZPn67OnTurTZs26tKli2bOnCnDMFzdNACAk9RydQMAAKgpZs+erQ8//FCvvvqqAgICtG3bNj377LNq0KCBBg4c6OrmAQCcgAAFAICTpKen67bbbtOtt94qSWrevLlWrFihrVu3urZhAACn4RI+AACcJCIiQmlpafrtt98kST///LN++OEH3XLLLS5uGQDAWTgDBQCAkwwZMkS5ubnq3r273N3dVVBQoCeeeEJ33323Q8txcyv+9/ll1VlN649UM/tU3V24LWriNqppfaoK/TG7bgIUAABOsmrVKn322Wd6/fXXFRAQoJ07dyopKUlNmjRRXFyc6eX4+jYwVVad1bT+SFKjRvVd3QRI8vG5+HaoiftdTetTdegPAQoAACeZOnWqhgwZop49e0qSgoKClJmZqeTkZIcClNV6XEU37nNzO/eG4vyy6qym9Uf6X5+OHj1BiKoCjhw5oYKCQruymrzf1ZQ+VYX+FLWhNAQoAACc5PTp03K74BoQd3d3h29jbhgq9gaipLLqrKb1R6p5/anOLrYtaup+V5P6VB36Q4ACAMBJOnXqpFmzZqlZs2a2S/hSUlLUu3dvVzcNAOAkBCgAAJxkwoQJevPNN5WYmCir1aomTZqoX79+Gj58uKubBgBwEgIUAABO4uXlpeeee07PPfecq5sCAKggDv0O1AcffKC77rpLbdu2Vdu2bdWvXz99++23tulnzpxRYmKiIiMjFRERoZEjRyo7O9tuGZmZmRoyZIjCwsIUFRWlV199VWfPnrWrs2HDBsXFxSkkJERdu3bV0qVLi7Vl4cKF6ty5s0JDQ9WnTx9+pBAAAABAhXMoQDVt2lRPPfWUli5dqiVLluimm27S8OHD9euvv0qSJk+erK+//lrTp0/X/PnzdejQIY0YMcI2f0FBgYYOHar8/HwtWrRIU6ZM0bJlyzRjxgxbnf3792vo0KGKjIzUp59+qoceekgTJkzQ2rVrbXVWrlyppKQkDR8+XMuWLVOrVq2UkJAgq9Va3vEAAAAAgItyKEB17txZsbGxuuaaa3TttdfqiSeeUL169bR582YdP35cS5Ys0bhx4xQVFaWQkBBNnjxZ6enp2rx5syRp3bp1ysjI0GuvvabWrVsrNjZWo0eP1sKFC5WXlydJWrRokZo3b65x48apZcuWio+PV7du3fTee+/Z2pGSkqK+ffuqd+/eCggIUGJiourUqaMlS5Y4bWAAAAAA4EIOBajzFRQUaMWKFTp58qQiIiK0bds25efnKzo62lanZcuWatasmS1Abd68WYGBgfLz87PViYmJUW5urjIyMmx1oqKi7NYVExNjW0ZeXp62b99utx6LxaLo6Gilp6eXtTsAAAAAUCqHbyKxa9cu3X///Tpz5ozq1aunmTNn2m7V6uHhoYYNG9rV9/X1VVZWliQpOzvbLjxJsj0vrU5ubq5Onz6tY8eOqaCgQL6+vsXWs2fPHke7I+ncj2aVdZ6yzIvSMb7VC9vJHvtv6RgbAEB15XCAuvbaa7V8+XIdP35cX3zxhZ555hktWLCgItpWacz84nBFzIvSMb5Vn49PfVc3ocpi/wUAoOZxOEB5enrq6quvliSFhITop59+0rx589S9e3fl5+crJyfH7iyU1WqVv7+/pHNnki68W17RXfrOr3Phnfuys7Pl5eWlOnXqyGKxyN3dvdgNI6xWa7EzV2ZZrccd/sVjN7dzb47KMi9Kx/iWzt3dUiXCy5EjJ1RQUOjqZlQp7L+lKxojAACqmzJ/B6pIYWGh8vLyFBISIg8PD6Wmptqm7dmzR5mZmQoPD5ckhYeH65dffrELP+vXr5eXl5cCAgJsddLS0uzWsX79etsyPD09FRwcbLeewsJCpaamKiIiokx9MIyyPcozLw/G1xnjU1W4eiyq4oNxMTdGAABUNw6dgXr99dd1yy236IorrtCJEyf0+eef6/vvv9fcuXPVoEED9e7dW1OmTJG3t7e8vLw0adIkRURE2MJPTEyMAgICNHbsWD399NPKysrS9OnT1b9/f3l6ekqS7r//fi1cuFBTp05V7969lZaWplWrVik5OdnWjsGDB+uZZ55RSEiI2rRpo/fff1+nTp1Sr169nDcyAAAAAHABhwKU1WrVM888o0OHDqlBgwYKCgrS3LlzdfPNN0uSxo8fL4vFolGjRikvL08xMTGaOHGibX53d3fNmjVLL774ovr166e6desqLi5Oo0aNstVp0aKFkpOTlZSUpHnz5qlp06aaNGmSOnbsaKvTo0cPHT58WDNmzFBWVpZat26tOXPmlPkSPgAAAAAww6EANXny5EtOr127tiZOnGgXmi505ZVXavbs2ZdcTmRkpJYvX37JOvHx8YqPj79kHQAAAABwpnJ/BwoAAAAALhcEKAAAAAAwiQAFAAAAACYRoAAAAADAJAIUAAAAAJhEgAIAAAAAkwhQAAAAAGASAQoAAAAATHLoh3QBAACqMovFTRaLm0vW7e7O59LA5YAABQAAagSLxU3ejeqplouCTMOGdV2yXgCViwAFAABqBIvFTbXcLRq9KF0Zh3Irff23Bvnr6W6tKn29ACoXAQoAANQoGYdytT0zp9LX29K/fqWvE0Dl42JdAAAAADCJAAUAAAAAJhGgAAAAAMAkAhQAAAAAmESAAgAAAACTCFAAAAAAYBIBCgAAAABMIkABAAAAgEkEKAAAAAAwiQAFAAAAACYRoAAAAADAJAIUAAAAAJhEgAIAAAAAkwhQAAAAAGASAQoAAAAATCJAAQAAAIBJBCgAAAAAMIkABQAAAAAmEaAAAAAAwCQCFAAATnTw4EE99dRTioyMVJs2bXTXXXfpp59+cnWzAABOUsvVDQAAoKY4duyYHnjgAUVGRmr27Nny8fHRvn375O3t7eqmAQCchAAFAICTzJ49W02bNlVSUpKtrEWLFi5sEQDA2QhQAAA4yb///W/FxMRo1KhR2rhxo/7yl7/owQcfVN++fR1ajptb8b/PL6vOalp/UPW4uxf/hkrR/larlkWGUbHrd3NTha+jaD1S8T4ZhqHCwkpogJNVhdcGs+smQAEA4CT79+/Xhx9+qMGDB2vYsGH66aefNGnSJHl4eCguLs70cnx9G5gqq85qWn/gev5etVVQaKhhw7oXrdOoUf0Kb0dBoSF3S+WlgAv7VNnrd7bq8NpAgAIAwEkMw1BISIiefPJJSdINN9ygX3/9VYsWLXIoQFmtx22fKLu5nXtDcX5ZdVaR/XF3t8jHp+LfIKNqali3ltwtbhq9KF0Zh3Jd0oZbg/z1dLdWLmtDQBMvvXl/hI4cOaGCgsJKX395VIXXuqI2lIYABQCAk/j7+6tly5Z2Zdddd52++OILh5ZjGMUvASqprDqraf1B1ZFxKFfbM3Ncsu6W/vVd3oYi1fX/qzq8NnAbcwAAnKRt27b67bff7Mr27t2rK6+80kUtAgA4GwEKAAAneeihh7RlyxbNmjVL+/bt02effabFixfrwQcfdHXTAABOwiV8AAA4SZs2bfT222/rjTfe0MyZM9W8eXONHz9ed999t6ubBgBwEgIUAABO1KlTJ3Xq1MnVzQAAVBAu4QMAAAAAkwhQAAAAAGASAQoAAAAATCJAAQAAAIBJBCgAAAAAMIkABQAAAAAmEaAAAAAAwCQCFAAAAACYRIACAAAAAJMIUAAAAABgEgEKAAAAAEwiQAEAAACASQQoAAAAADDJoQCVnJys3r17KyIiQlFRUXrssce0Z88euzpnzpxRYmKiIiMjFRERoZEjRyo7O9uuTmZmpoYMGaKwsDBFRUXp1Vdf1dmzZ+3qbNiwQXFxcQoJCVHXrl21dOnSYu1ZuHChOnfurNDQUPXp00dbt251pDsAAAAA4BCHAtT333+v/v37a/HixUpJSdHZs2eVkJCgkydP2upMnjxZX3/9taZPn6758+fr0KFDGjFihG16QUGBhg4dqvz8fC1atEhTpkzRsmXLNGPGDFud/fv3a+jQoYqMjNSnn36qhx56SBMmTNDatWttdVauXKmkpCQNHz5cy5YtU6tWrZSQkCCr1Vqe8QAAAACAi3IoQM2dO1e9evXS9ddfr1atWmnKlCnKzMzU9u3bJUnHjx/XkiVLNG7cOEVFRSkkJESTJ09Wenq6Nm/eLElat26dMjIy9Nprr6l169aKjY3V6NGjtXDhQuXl5UmSFi1apObNm2vcuHFq2bKl4uPj1a1bN7333nu2tqSkpKhv377q3bu3AgIClJiYqDp16mjJkiXOGRkAAAAAuEC5vgN1/PhxSZK3t7ckadu2bcrPz1d0dLStTsuWLdWsWTNbgNq8ebMCAwPl5+dnqxMTE6Pc3FxlZGTY6kRFRdmtKyYmxraMvLw8bd++3W49FotF0dHRSk9PL0+XAAAAAOCiapV1xsLCQk2ePFlt27ZVYGCgJCk7O1seHh5q2LChXV1fX19lZWXZ6pwfniTZnpdWJzc3V6dPn9axY8dUUFAgX1/fYuu58DtZZri5OTyLbZ6yzIvSMb7VC9vJHvtv6RgbAEB1VeYAlZiYqF9//VUffPCBM9vjEr6+DVwyL0rH+FZ9Pj71Xd2EKov9FwCAmqdMAeqll17SN998owULFqhp06a2cj8/P+Xn5ysnJ8fuLJTVapW/v7+tzoV3yyu6S9/5dS68c192dra8vLxUp04dWSwWubu7F7thhNVqLXbmygyr9bgMw7F53NzOvTkqy7woHeNbOnd3S5UIL0eOnFBBQaGrm1GlsP+WrmiMAACobhz6DpRhGHrppZf01Vdf6f3331eLFi3spoeEhMjDw0Opqam2sj179igzM1Ph4eGSpPDwcP3yyy924Wf9+vXy8vJSQECArU5aWprdstevX29bhqenp4KDg+3WU1hYqNTUVEVERDjSpf/vV9ke5ZmXB+PrjPGpKlw9FlXxwbiYGyMAAKobhwJUYmKi/vnPf+r1119X/fr1lZWVpaysLJ0+fVqS1KBBA/Xu3VtTpkxRWlqatm3bpvHjxysiIsIWfmJiYhQQEKCxY8fq559/1tq1azV9+nT1799fnp6ekqT7779f+/fv19SpU7V7924tXLhQq1at0qBBg2xtGTx4sBYvXqxly5Zp9+7devHFF3Xq1Cn16tXLOSMDAAAAABdw6BK+Dz/8UJI0YMAAu/KkpCRbcBk/frwsFotGjRqlvLw8xcTEaOLEiba67u7umjVrll588UX169dPdevWVVxcnEaNGmWr06JFCyUnJyspKUnz5s1T06ZNNWnSJHXs2NFWp0ePHjp8+LBmzJihrKwstW7dWnPmzCnTJXwAAAAAYIZDAWrXrl2l1qldu7YmTpxoF5oudOWVV2r27NmXXE5kZKSWL19+yTrx8fGKj48vtU0AAAAA4Azl+h0oAAAAALicEKAAAAAAwCQCFAAAAACYRIACAAAAAJMIUAAAAABgEgEKAAAAAEwiQAEAAACASQQoAAAAADCJAAUAAAAAJhGgAAAAAMAkAhQAAAAAmESAAgAAAACTCFAAAAAAYBIBCgAAAABMIkABAAAAgEkEKAAAAAAwiQAFAAAAACYRoAAAqCDvvvuugoKC9Morr7i6KQAAJyFAAQBQAbZu3apFixYpKCjI1U0BADgRAQoAACc7ceKEnn76aU2aNEne3t6ubg4AwIkIUAAAONlLL72k2NhYRUdHu7opAAAnq+XqBgAAUJOsWLFCO3bs0CeffFLmZbi5Ff/7/LLqrKb1B6iqqtv/WFV4bTC7bgIUAABO8t///levvPKK/vGPf6h27dplXo6vbwNTZdVZTesPUJX4+NR3dRPKrDq8NhCgAABwku3bt8tqtapXr162soKCAm3cuFELFy7UTz/9JHd391KXY7Uel2Gc+9vN7dwbivPLqrOK7I+7u6Vav3EEnOXIkRMqKCh0dTMcUhVe64raUBoCFAAATnLTTTfps88+syt79tlndd111+mRRx4xFZ4kyTBU7A1ESWXVWU3rD1DVVNf/r+rw2kCAAgDASby8vBQYGGhXVq9ePTVq1KhYOQCgeuIufAAAAABgEmegAACoQPPnz3d1EwAATsQZKAAAAAAwiQAFAAAAACYRoAAAAADAJAIUAAAAAJhEgAIAAAAAkwhQAAAAAGASAQoAAAAATCJAAQAAAIBJBCgAAAAAMIkABQAAAAAmEaAAAAAAwCQCFAAAAACYRIACAAAAAJMIUAAAAABgEgEKAAAAAEwiQAEAAACASQQoAAAAADCJAAUAAAAAJhGgAAAAAMCkWq5uAAAAAICawWJxk8XiVub53d3Ld36nsNBQYaFRrmWUhgAFAAAAoNwsFjd5N6qnWuUIQT4+9cvVhrMFhTp29GSFhigCFAAAAIBys1jcVMvdotGL0pVxKLfS1x/QxEtv3h8hi8WNAAUAAACgesg4lKvtmTmubkaF4SYSAAAAAGASAQoAAAAATCJAAQAAAIBJBCgAAAAAMIkABQAAAAAmORygNm7cqGHDhikmJkZBQUFavXq13XTDMPTmm28qJiZGbdq00aBBg7R37167OkePHtWYMWPUtm1btW/fXuPHj9eJEyfs6vz888968MEHFRoaqtjYWM2ePbtYW1atWqU77rhDoaGhuuuuu/Ttt9862h0AAAAAMM3hAHXy5EkFBQVp4sSJJU6fPXu25s+frxdffFGLFy9W3bp1lZCQoDNnztjqPPXUU8rIyFBKSopmzZqlTZs26YUXXrBNz83NVUJCgpo1a6alS5dq7Nixevvtt/XRRx/Z6vz4448aM2aM7rvvPi1fvly33Xabhg8frl9++cXRLgEAAACAKQ4HqNjYWD3xxBPq2rVrsWmGYWjevHl69NFH1aVLF7Vq1UpTp07VoUOHbGeqdu/erbVr12rSpEkKCwtT+/btNWHCBK1YsUIHDx6UJP3zn/9Ufn6+Jk+erOuvv149e/bUgAEDlJKSYlvXvHnz1LFjRz388MNq2bKlHn/8cd1www1asGBBWccCAAAAAC7Jqd+BOnDggLKyshQdHW0ra9CggcLCwpSeni5JSk9PV8OGDRUaGmqrEx0dLYvFoq1bt0qSNm/erPbt28vT09NWJyYmRr/99puOHTtmqxMVFWW3/piYGG3evNnhdru5le1Rnnl5ML7OGJ+qwtVjURUfjIu5MQIAoLqp5cyFZWVlSZJ8fX3tyn19fZWdnS1Jys7OVuPGje0bUauWvL29bfNnZ2erefPmdnX8/Pxs07y9vZWdnW0rK2k9jvD1beDwPM6YF6VjfKs+H5/6rm5ClcX+CwBAzePUAFVdWa3HZRiOzePmdu7NUVnmRekY39K5u1uqRHg5cuSECgoKXd2MKoX9t3RFYwQAQHXj1ADl7+8vSbJarWrSpImt3Gq1qlWrVpLOnUk6fPiw3Xxnz57VsWPHbPP7+fkVO5NU9LzorFNJdaxWa7GzUmYYhsr8Jqc886J0jG/1wDYqGfsvAAA1j1O/A9W8eXP5+/srNTXVVpabm6stW7YoIiJCkhQREaGcnBxt27bNVictLU2FhYVq06aNJCk8PFybNm1Sfn6+rc769et17bXXytvb21YnLS3Nbv3r169XeHi4M7sEAAAAADYOB6gTJ05o586d2rlzp6RzN47YuXOnMjMz5ebmpoEDB+qdd97RmjVrtGvXLo0dO1ZNmjRRly5dJEktW7ZUx44d9fzzz2vr1q364Ycf9PLLL6tnz576y1/+Ikm666675OHhoeeee06//vqrVq5cqXnz5mnw4MG2dgwcOFBr167VP/7xD+3evVtvvfWWtm3bpvj4eGeMCwAAAAAU4/AlfNu2bdPAgQNtz5OSkiRJcXFxmjJlih555BGdOnVKL7zwgnJyctSuXTvNmTNHtWvXts0zbdo0vfzyy3rooYdksVh0++23a8KECbbpDRo00Ny5c/XSSy+pV69e8vHx0WOPPaZ+/frZ6rRt21bTpk3T9OnT9cYbb+iaa67RzJkzFRgYWKaBAAAAAIDSOBygIiMjtWvXrotOd3Nz0+jRozV69OiL1mnUqJFef/31S66nVatW+uCDDy5Zp3v37urevfulGwwAAAAATuLU70ABAAAAQE1GgAIAAAAAk/gdKAAAnCQ5OVlffvml9uzZozp16igiIkJPPfWUrrvuOlc3DQDgJJyBAgDASb7//nv1799fixcvVkpKis6ePauEhASdPHnS1U0DADgJZ6AAAHCSuXPn2j2fMmWKoqKitH37dnXo0MFFrQIAOBNnoAAAqCDHjx+XJNuPwAMAqj/OQAEAUAEKCws1efJktW3b1uHfKHRzK/73+WXVWU3rD1AVubu75hyJq9ZbkrK8xpidhwAFAEAFSExM1K+//lrqbxqWxNe3gamy6qym9QeoCvy9aqug0FDDhnVd3RSX8vGpX6HLJ0ABAOBkL730kr755hstWLBATZs2dXh+q/W4DOPc325u58LG+WXVWUX2x93dUuFvnICqrGHdWnK3uGn0onRlHMqt9PXfGuSvp7u1qvT1XujIkRMqKCh0eL6i16fSEKAAAHASwzD08ssv66uvvtL8+fPVokWLMi5HxcJFSWXVWU3rD1CVZBzK1fbMnEpfb0v/qvMBRkW+vhCgAABwksTERH3++ef6+9//rvr16ysrK0uS1KBBA9WpU8fFrQMAOAMBCgAAJ/nwww8lSQMGDLArT0pKUq9evVzRJACAkxGgAABwkl27drm6CQCAClZ17jUIAAAAAFUcAQoAAAAATCJAAQAAAIBJBCgAAAAAMImbSADlYLG4yWJxc8m63d35/AMAAKCyEaCAMrJY3OTdqJ5qEWQAAAAuGwQooIwsFjfVcrdo9KJ0ZRzKrfT13xrkr6e7tar09QIAAFzOCFBAOWUcytX2zJxKX29L//qVvk4AAIDLHdceAQAAAIBJBCgAAAAAMIkABQAAAAAmEaAAAAAAwCQCFAAAAACYRIACAAAAAJMIUAAAAABgEgEKAAAAAEwiQAEAAACASQQoAAAAADCJAAUAAAAAJtVydQMAAIDzWCxusljcXN2MUrm7O/8z3IpYJgBciAAFoFxc+YalsNBQYaHhsvUDVY3F4ibvRvVUy4X/lwWFhtxNBDgfn/qV0BoAcD4CFIAy8feqrYJCQw0b1nVZG84WFOrY0ZOEKOD/WSxuquVu0ehF6co4lFvp6781yF9Pd2vl8vUDQEUiQAEok4Z1a8nd4uayN0oBTbz05v0RsljcCFDABTIO5Wp7Zk6lr7elf/0qsX4AqEgEKADl4qo3SgAAAK7Aty0BAAAAwCQCFAAAAACYRIACAAAAAJMIUAAAAABgEgEKAAAAAEwiQAEAAACASQQoAAAAADCJAAUAAAAAJhGgAAAAAMAkAhQAAAAAmESAAgAAAACTCFAAAAAAYBIBCgAAAABMIkABAAAAgEkEKAAAAAAwiQAFAAAAACYRoAAAAADAJAIUAAAAAJhU7QPUwoUL1blzZ4WGhqpPnz7aunWrq5sEALjMcWwCgJqrWgeolStXKikpScOHD9eyZcvUqlUrJSQkyGq1urppAIDLFMcmAKjZqnWASklJUd++fdW7d28FBAQoMTFRderU0ZIlS1zdNADAZYpjEwDUbLVc3YCyysvL0/bt2zV06FBbmcViUXR0tNLT0x1alsUiGYZj63dzK5rXTW5FT1zAMP7Xlpq0/qJl1qplueS2cWX/3d3Pff4Q3Kyh6nq6V/r6W/p7Xdbrv86vvqT/bQdXuNj+Z3b/raj1VxbDMGSUsYOubHdFctax6fzj0v+ON+aPVZfr6wLrZ/2uXH9VaMPlvv6i9wbSuddMR5k9NrkZZT36udjBgwd1yy23aNGiRYqIiLCVT506VRs3btTHH3/swtYBAC5HHJsAoOar1pfwAQAAAEBlqrYBysfHR+7u7sW+lGu1WuXn5+eiVgEALmccmwCg5qu2AcrT01PBwcFKTU21lRUWFio1NdXusgkAACoLxyYAqPmq7U0kJGnw4MF65plnFBISojZt2uj999/XqVOn1KtXL1c3DQBwmeLYBAA1W7UOUD169NDhw4c1Y8YMZWVlqXXr1pozZw6XSQAAXIZjEwDUbNX2LnwAAAAAUNmq7XegAAAAAKCyEaAAAAAAwCQCFAAAAACYRIACAAAAAJMIUA44evSoxowZo7Zt26p9+/YaP368Tpw4YWpewzD08MMPKygoSKtXr67gllZPjo7v0aNH9fLLL6tbt25q06aNbr31Vk2aNEnHjx+vxFZXXQsXLlTnzp0VGhqqPn36aOvWrZesv2rVKt1xxx0KDQ3VXXfdpW+//baSWlr9ODK2ixcv1oMPPqgOHTqoQ4cOGjRoUKnbAjVbWY4lH330kQYMGKC2bdsqKChIOTk5ZVruzz//rAcffFChoaGKjY3V7NmzXdKfM2fOKDExUZGRkYqIiNDIkSOVnZ1tm7506VIFBQWV+Cj6keINGzaUOD0rK6tK9klSie1dsWKFXZ0NGzYoLi5OISEh6tq1q5YuXVru/lRUn37++Wc9+eSTio2NVZs2bdS9e3e9//77xfrjjO3k7GOaYRh68803FRMTozZt2mjQoEHau3evXZ3yvO+r7D7l5+frtdde01133aXw8HDFxMRo7NixOnjwoN0yOnfuXGxbvPvuu1WuP5I0bty4Ym1NSEiwq1PR2+iiDJiWkJBg3H333cbmzZuNjRs3Gl27djWefPJJU/OmpKQYDz/8sBEYGGh89dVXFdzS6snR8d21a5cxYsQIY82aNca+ffuM9evXG7fffrsxcuTISmx11bRixQojODjY+OSTT4xff/3VmDBhgtG+fXsjOzu7xPo//PCD0bp1a2P27NlGRkaG8be//c0IDg42du3aVcktr/ocHdsnn3zSWLBggbFjxw4jIyPDGDdunNGuXTvjzz//rOSWo6ooy7EkJSXFSE5ONpKTk43AwEDj2LFjDi/3+PHjRnR0tDFmzBjjl19+MT7//HOjTZs2xqJFiyq9Py+88IIRGxtrrF+/3vjpp5+Mvn37Gv369bNNP3XqlHHo0CG7x1//+lcjPj7eVictLc0IDAw09uzZY1evoKCgXP2pqD4ZhmEEBgYaS5YssWvv6dOnbdN///13IywszEhKSjIyMjKM+fPnG61btza+++67Ktmnjz/+2Hj55ZeNDRs2GL///ruxfPlyo02bNsb8+fNtdZyxnSrimJacnGy0a9fO+Oqrr4ydO3caw4YNMzp37my3Pcrzvq+y+5STk2MMGjTIWLFihbF7924jPT3duO+++4y4uDi75XTq1Ml4++237bbFiRMnqlx/DMMwnnnmGSMhIcGurUePHrVbTkVuo0shQJmUkZFhBAYGGlu3brWVffvtt0ZQUFCpb4R27NhhdOzY0Th06BAB6iLKM77nW7lypREcHGzk5+dXRDOrjfvuu89ITEy0PS8oKDBiYmKM5OTkEuuPHj3aGDJkiF1Znz59jOeff75C21kdOTq2Fzp79qwRERFhLFu2rIJaiKqsvK91RW9GLwxQZpa7cOFCo0OHDsaZM2dsdV577TWjW7duldqfnJwcIzg42Fi1alWx5aSnp5c4j9VqNYKDg+3+by42FuVVkX0q7T3A1KlTjZ49e9qVPf7448Zf//rXMvbGvi0VvZ0MwzBefPFFY8CAAbbnzthOzj6mFRYWGjfffLMxZ84c2/ScnBwjJCTE+Pzzzw3DcN77ksrqU0m2bNliBAYGGn/88YetrFOnTkZKSkr5Gl+CiujPM888Yzz66KMXXWdFb6NL4RI+k9LT09WwYUOFhobayqKjo2WxWC55ivLUqVMaM2aMXnjhBfn7+1dGU6ulso7vhXJzc+Xl5aVatar1b0SXS15enrZv367o6GhbmcViUXR0tNLT00ucZ/PmzYqKirIri4mJ0ebNmyuyqdVOWcb2QqdOndLZs2fl7e1dUc1EFeas17qyLHfz5s1q3769PD09bXViYmL022+/6dixYxW23gtt27ZN+fn5dv9HLVu2VLNmzS76mrN8+XLVqVNHd9xxR7Fp9957r2JiYjR48GD98MMPZerH+Sq6T0WXxN1333365JNPZJz3c5wV9VpcWdtJko4fP65GjRoVKy/rdqqIY9qBAweUlZVlt8wGDRooLCzMtsyK+l+tqD6VJDc3V25ubmrYsKFd+ezZsxUZGal7771Xc+bM0dmzZ8veGVVsf77//ntFRUWpW7dumjhxoo4cOWKbVpHbqDSX77tMB2VnZ6tx48Z2ZbVq1ZK3t/clr+NNSkpSRESEunTpUtFNrNbKOr7nO3z4sP7+97+rX79+FdHEauPIkSMqKCiQr6+vXbmvr6/27NlT4jzZ2dny8/MrVv/C6/cvd2UZ2wtNmzZNTZo0sTvQ4PLhjNe6si43OztbzZs3t6tT9H+fnZ1dplBflv5kZ2fLw8Oj2Js6X1/fi87zySef6M4771SdOnVsZf7+/kpMTFRISIjy8vL08ccfa+DAgVq8eLGCg4Md7ktl9GnUqFG66aabVLduXa1bt06JiYk6efKkBg4caFvOha/Ffn5+ys3N1enTp+36X1X6dL4ff/xRq1atUnJysq2svNupIo5pRe0vaZlFdSrqf1WqnOP0mTNnNG3aNPXs2VNeXl628gEDBuiGG26Qt7e30tPT9cYbbygrK0vPPvtsletPx44d1bVrVzVv3lz79+/XG2+8oUceeUQfffSR3N3dK3QbleayD1DTpk0r9Uu0K1euLNOy16xZo7S0NC1btqxM89cEFTm+58vNzdXQoUPVsmVLjRgxotzLAyrCu+++q5UrV2revHmqXbu2q5sDJ6qs17rKUpX6k56ert27d2vq1Kl25dddd52uu+462/O2bdtq//79eu+99/Taa68VW05V6NPw4cNtf99www06deqU5s6dawtQjqoKfSryyy+/6LHHHtPw4cMVExNjK3d0O6H88vPzNXr0aBmGocTERLtpgwcPtv3dqlUreXh4aOLEiRozZozd2emqoGfPnra/i24i0aVLF9tZKVe67APUX//6V8XFxV2yTosWLeTn56fDhw/blZ89e1bHjh276KV5aWlp+v3339WhQwe78pEjR6p9+/aaP39++RpfDVTk+BbJzc3Vww8/rPr162vmzJny8PAod7urMx8fH7m7u9vuVFXEarUW+7SniJ+fX7FPsS5V/3JVlrEtMnfuXL377rtKSUlRq1atKrKZcIHKeK27FDPLLen/vOj5hftvRfbHz89P+fn5ysnJsTu7YbVaS5zn448/VuvWrRUSEnLJ9khSaGiofvzxxxKnVaU+FQkLC9Pf//535eXlydPT86LbyMvLq8SzT1WlTxkZGRo0aJD69eunxx577JLtkS69nS5UEce0ovZbrVY1adLErk7R63NF/a9WVJ+K5Ofn6/HHH1dmZqbef/99u7NPJQkLC9PZs2d14MABu6DriMp639GiRQv5+Pho3759ioqKqtBtVJrLPkA1bty42Om/kkRERCgnJ0fbtm2zvYinpaWpsLBQbdq0KXGeIUOGqE+fPnZld911l5599ll16tSp/I2vBipyfKVz4SkhIUGenp565513+FRfkqenp4KDg5Wammq7dLSwsFCpqamKj48vcZ7w8HClpaVp0KBBtrL169crPDy8ElpcfZRlbKVz15vPmjVLc+fOtbtWGzVHRb/WOWO54eHhmj59uvLz820fNK1fv17XXnttscv3KrI/ISEh8vDwUGpqqrp16yZJ2rNnjzIzM4u95pw4cUKrVq3SmDFjTI3Dzz//fNE3TlWlT+fbuXOnvL29bZ/8h4eH67vvvrOrc6nX4qrQp19//VUPPfSQ7r33Xj3xxBOltkW69Ha6UEUc05o3by5/f3+lpqaqdevWks69n9iyZYseeOABSRX3v1pRfZL+F5727dunefPmycfHp9S27Ny5UxaLpdjld1WhPxf6888/dfToUdu+U5HbqFQVeouKGiYhIcG49957jS1bthibNm0ybr/9drtbJf75559Gt27djC1btlx0GdyF7+IcHd/jx48bffr0Me68805j3759dre5PHv2rKu6USWsWLHCCAkJMZYuXWpkZGQYzz//vNG+fXsjKyvLMAzDePrpp41p06bZ6v/www/GDTfcYMydO9fIyMgwZsyYwW3ML8LRsU1OTjaCg4ONf/3rX3b7aG5urqu6ABcry7Hk0KFDxo4dO4zFixcbgYGBxsaNG40dO3YYR44cMb3cnJwcIzo62nj66aeNX375xVixYoURFhbmlNuYO9qfF154wbj11luN1NRU46effjL69etX7JbfhmEYixcvNkJDQ0u8g1tKSorx1VdfGXv37jV27dplTJo0yWjVqpWxfv36cvWnovq0Zs0aY/HixcauXbuMvXv3GgsXLjTCwsKMN99801an6Dbmr776qpGRkWEsWLDAqbcxd3afdu3aZdx0003GU089Zff6ZrVabXWcsZ0q4piWnJxstG/f3li9erXx888/G48++miJtzG/1JiVh7P7lJeXZwwbNsy45ZZbjJ07d9ptj6I7b/74449GSkqKsXPnTuP33383Pv30U+Omm24yxo4dW+X6k5uba0yZMsVIT0839u/fb6xfv96Ii4szbr/9drs7iVbkNroUApQDjhw5Yjz55JNGeHi40bZtW2PcuHF2b4L2799vBAYGGmlpaRddBgHq4hwd36Jbo5b02L9/v6u6UWXMnz/fuPXWW43g4GDjvvvuMzZv3mybFh8fbzzzzDN29VeuXGncfvvtRnBwsNGzZ0/jm2++qewmVxuOjG2nTp1K3EdnzJjhiqajCijLsWTGjBkl7kdLliwxvVzDMIydO3caDzzwgBESEmJ07NjR9O33nd2f06dPGy+++KLRoUMHIywszBg+fLhx6NChYsvu16/fRd8Mvfvuu0aXLl2M0NBQ48YbbzTi4+ON1NTUcvenovr07bffGvfcc48RHh5uhIeHG3fffbfx4YcfFvs9pLS0NOOee+4xgoODjdtuu81uG1e1Pl1sv+zUqZOtjrO2k7OPaYWFhcb06dON6OhoIyQkxHjooYeMPXv2ODRm5eXMPhVtv5IeRdt027ZtRp8+fYx27doZoaGhRvfu3Y1Zs2bZBZKq0p9Tp04Zf/3rX42bbrrJCA4ONjp16mRMmDDBFsiKVPQ2uhg3wzjv/pkAAAAAgIvid6AAAAAAwCQCFAAAAACYRIACAAAAAJMIUAAAAABgEgEKAAAAAEwiQAEAAACASQQoAAAAADCJAAUAAAAAJhGgAAAAAMAkAhQAAAAAmESAAgAAAACTCFAAAAAAYNL/AZJOoFG4rqKAAAAAAElFTkSuQmCC",
|
||
"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": 26,
|
||
"id": "6b7d586ea49a858a",
|
||
"metadata": {
|
||
"ExecuteTime": {
|
||
"end_time": "2024-03-22T01:58:01.317475Z",
|
||
"start_time": "2024-03-22T01:58:01.151696Z"
|
||
},
|
||
"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()\n",
|
||
"\n"
|
||
]
|
||
},
|
||
{
|
||
"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": 27,
|
||
"id": "4d080bef0cf9bec4",
|
||
"metadata": {
|
||
"ExecuteTime": {
|
||
"end_time": "2024-03-22T01:58:01.494646Z",
|
||
"start_time": "2024-03-22T01:58:01.318660Z"
|
||
},
|
||
"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": 28,
|
||
"id": "c67bb53e5a864293",
|
||
"metadata": {
|
||
"ExecuteTime": {
|
||
"end_time": "2024-03-22T01:58:01.723322Z",
|
||
"start_time": "2024-03-22T01:58:01.496267Z"
|
||
},
|
||
"collapsed": false
|
||
},
|
||
"outputs": [
|
||
{
|
||
"data": {
|
||
"image/png": 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",
|
||
"text/plain": [
|
||
"<Figure size 1000x600 with 1 Axes>"
|
||
]
|
||
},
|
||
"metadata": {},
|
||
"output_type": "display_data"
|
||
}
|
||
],
|
||
"source": [
|
||
"\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
|
||
}
|