CSC3105_Project/Project.ipynb

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{
"cells": [
{
"cell_type": "markdown",
"source": [
"# CSC 3105 Project"
],
"metadata": {
"collapsed": false
},
"id": "cda961ffb493d00c"
},
{
"cell_type": "markdown",
"source": [
"# Load and Clean the Data\n",
"\n",
"This code block performs the following operations:\n",
"\n",
"1. Imports necessary libraries for data handling and cleaning.\n",
"2. Defines a function `load_data` to load the data from a given directory into a pandas dataframe.\n",
"3. Defines a function `clean_data` to clean the loaded data. The cleaning process includes:\n",
" - Handling missing values by dropping them.\n",
" - Removing duplicate rows.\n",
" - Converting the 'NLOS' column to integer data type.\n",
" - Normalizing the 'Measured range (time of flight)' column.\n",
" - Creating new features 'FP_SUM' and 'SNR'.\n",
" - One-hot encoding categorical features.\n",
" - Performing feature extraction on 'CIR' columns.\n",
" - Dropping the original 'CIR' columns.\n",
" - Checking for columns with only one unique value and dropping them.\n",
"4. Checks if a pickle file with the cleaned data exists. If it does, it loads the data from the file. If it doesn't, it loads and cleans the data using the defined functions.\n",
"5. Prints the first few rows of the cleaned data and its column headers."
],
"metadata": {
"collapsed": false
},
"id": "73fe8802e95a784f"
},
{
"cell_type": "code",
"outputs": [],
"source": [
"import os\n",
"import pandas as pd\n",
"import matplotlib.pyplot as plt\n",
"import numpy as np\n",
"from sklearn.preprocessing import LabelEncoder\n",
"from sklearn.decomposition import PCA\n",
"from sklearn.ensemble import RandomForestClassifier\n",
"from sklearn.metrics import accuracy_score, classification_report\n",
"from sklearn.model_selection import train_test_split\n",
"from sklearn.preprocessing import StandardScaler\n",
"import pickle\n",
"from sklearn.model_selection import cross_val_score\n",
"from sklearn.metrics import roc_curve, auc\n",
"import tensorflow as tf\n",
"from sklearn.model_selection import train_test_split\n",
"from sklearn.preprocessing import LabelEncoder\n",
"from sklearn.preprocessing import StandardScaler\n",
"import matplotlib.pyplot as plt\n",
"import numpy as np\n",
"import pywt\n",
"from skimage import restoration\n",
"from tensorflow.keras.utils import to_categorical\n"
],
"metadata": {
"collapsed": false,
"ExecuteTime": {
"end_time": "2024-03-18T15:11:18.504645Z",
"start_time": "2024-03-18T15:11:18.499866Z"
}
},
"id": "2aa3c6c09e8645d1",
"execution_count": 52
},
{
"cell_type": "code",
"outputs": [],
"source": [
"# Define the directory where the dataset is located\n",
"DATASET_DIR = './UWB-LOS-NLOS-Data-Set/dataset'\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"
],
"metadata": {
"collapsed": false,
"ExecuteTime": {
"end_time": "2024-03-18T15:11:19.031515Z",
"start_time": "2024-03-18T15:11:19.027111Z"
}
},
"id": "7bcd7cfc8dd11cbb",
"execution_count": 53
},
{
"cell_type": "code",
"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"
],
"metadata": {
"collapsed": false,
"ExecuteTime": {
"end_time": "2024-03-18T15:11:19.064442Z",
"start_time": "2024-03-18T15:11:19.060311Z"
}
},
"id": "9e0b1ed6f23a17cf",
"execution_count": 54
},
{
"cell_type": "markdown",
"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."
],
"metadata": {
"collapsed": false
},
"id": "1dd92fe7b6881ea6"
},
{
"cell_type": "code",
"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",
" "
],
"metadata": {
"collapsed": false,
"ExecuteTime": {
"end_time": "2024-03-18T15:11:19.135601Z",
"start_time": "2024-03-18T15:11:19.128782Z"
}
},
"id": "308d64639b199bc7",
"execution_count": 55
},
{
"cell_type": "markdown",
"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."
],
"metadata": {
"collapsed": false
},
"id": "bfd97fbe797a7067"
},
{
"cell_type": "code",
"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",
" "
],
"metadata": {
"collapsed": false,
"ExecuteTime": {
"end_time": "2024-03-18T15:11:19.220126Z",
"start_time": "2024-03-18T15:11:19.215563Z"
}
},
"id": "4afc8d71b3271351",
"execution_count": 56
},
{
"cell_type": "markdown",
"source": [
"# Scatter Plot of RX_Level and First_Path_Power_Level"
],
"metadata": {
"collapsed": false
},
"id": "e26e1cb8e6257696"
},
{
"cell_type": "code",
"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()"
],
"metadata": {
"collapsed": false,
"ExecuteTime": {
"end_time": "2024-03-18T15:11:19.296284Z",
"start_time": "2024-03-18T15:11:19.292138Z"
}
},
"id": "ac4db13fed3f9916",
"execution_count": 57
},
{
"cell_type": "markdown",
"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."
],
"metadata": {
"collapsed": false
},
"id": "69413268ac5b549d"
},
{
"cell_type": "code",
"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"
],
"metadata": {
"collapsed": false,
"ExecuteTime": {
"end_time": "2024-03-18T15:11:19.390451Z",
"start_time": "2024-03-18T15:11:19.386423Z"
}
},
"id": "fe3089568e99a58d",
"execution_count": 58
},
{
"cell_type": "markdown",
"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"
],
"metadata": {
"collapsed": false
},
"id": "e1edd5ef4f54e752"
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{
"cell_type": "code",
"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"
],
"metadata": {
"collapsed": false,
"ExecuteTime": {
"end_time": "2024-03-18T15:11:19.435012Z",
"start_time": "2024-03-18T15:11:19.431187Z"
}
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"id": "670e8c2cf19126ea",
"execution_count": 59
},
{
"cell_type": "code",
"outputs": [],
"source": [
"\n",
"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",
" # One-hot encode categorical features\n",
" categorical_features = ['CH', 'FRAME_LEN', 'PREAM_LEN', 'BITRATE']\n",
" encoder = LabelEncoder()\n",
" for feature in categorical_features:\n",
" data[feature] = encoder.fit_transform(data[feature])\n",
" print(\"Categorical features one-hot encoded.\")\n",
"\n",
" # Extract the 'CIR' columns\n",
" cir_columns = [col for col in data.columns if 'CIR' in col]\n",
" cir_data = data[cir_columns] \n",
" print(\"'CIR' columns extracted.\")\n",
" \n",
" # Convert 'CIR' columns to float\n",
" cir_data = cir_data.astype(float)\n",
" print(\"'CIR' columns converted to float.\")\n",
" \n",
" # Denoise 'CIR' columns\n",
" denoised_cir_data = cir_data.apply(denoise_cir)\n",
" # denoised_cir_data = cir_data.apply(deconvolve_cir)\n",
" print(\"'CIR' columns denoised.\")\n",
" \n",
" # Replace original 'CIR' columns with denoised data\n",
" data[cir_columns] = denoised_cir_data\n",
" print(\"Original 'CIR' columns replaced with denoised data.\")\n",
" \n",
" # Extract the 'CIR' columns\n",
" # cir_columns = [f\"CIR{i}\" for i in range(1015)]\n",
" # # cir_columns = [f\"CIR{i}\" for i in range(1016)]\n",
" # cir_data = data[cir_columns]\n",
" # print(\"'CIR' columns extracted.\")\n",
" # \n",
" # # Perform PCA on the 'CIR' columns\n",
" # pca = PCA(n_components=0.95)\n",
" # cir_pca = pca.fit_transform(cir_data)\n",
" # print(\"PCA performed on 'CIR' columns.\")\n",
" # \n",
" # # Create a DataFrame with the principal components\n",
" # cir_pca_df = pd.DataFrame(cir_pca, columns=[f\"PC{i}\" for i in range(1, pca.n_components_ + 1)])\n",
" # print(\"DataFrame with principal components created.\")\n",
" # \n",
" # # Drop the original 'CIR' columns from the data\n",
" # data = data.drop(columns=cir_columns)\n",
" # print(\"Original 'CIR' columns dropped.\")\n",
"\n",
" # Add the principal components to the original data\n",
" # Reset the index of both dataframes\n",
" # data = data.reset_index(drop=True)\n",
" # cir_pca_df = cir_pca_df.reset_index(drop=True)\n",
" # print(\"Indexes of both dataframes reset.\")\n",
"\n",
" # Concatenate the dataframes\n",
" # data = pd.concat([data, cir_pca_df], axis=1)\n",
" # print(\"Dataframes concatenated.\")\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",
" # Standardize the numerical columns (excluding 'NLOS')\n",
" # numerical_cols = data.select_dtypes(include=[np.number]).columns\n",
" # numerical_cols = numerical_cols.drop('NLOS')\n",
" # scaler = StandardScaler()\n",
" # data[numerical_cols] = scaler.fit_transform(data[numerical_cols])\n",
" # print(\"Numerical columns standardized.\")\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"
],
"metadata": {
"collapsed": false,
"ExecuteTime": {
"end_time": "2024-03-18T15:11:19.532368Z",
"start_time": "2024-03-18T15:11:19.515962Z"
}
},
"id": "685463c2d6065b08",
"execution_count": 60
},
{
"cell_type": "code",
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"Loading data from pickle file...\n"
]
},
{
"data": {
"text/plain": "<Figure size 640x480 with 1 Axes>",
"image/png": 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"
},
"metadata": {},
"output_type": "display_data"
},
{
"data": {
"text/plain": "<Figure size 640x480 with 1 Axes>",
"image/png": 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wYcMwffp0dO7c2SOPqqzC19mMGTMMQxGIY1C9enW0atUKq1evxujRo7Fz50788ccfmDBhgq68iRMnmrrdX2sed5ZcGbGAjyU3rdx2220AgAMHDrje8FkOHDjg+h/wXlMilrt//37VG/z58+fx22+/mS7u3pT566+/6v47cOCA6veaNWvg5+eHRYsWwdfX17X/gw8+8Lq+NWvW4L777lN5FZ07d+6StD1mwjF6jhw5YnpMUFAQhgwZgtmzZ6N3795elz1hwgSsW7cO8+fP9yo4ZPfu3bFixQps2bIF+fn5kGUZ3bt3d/3P8+nj41OueRSlWrVqGDhwIAYOHIjCwkL07t0bmZmZLuATEhKi8gJk+eOPP3SaIX9/fyQmJiIxMRHnz59HSkoKMjMz8fDDDxsCL3fyyCOP4L333sOrr76qChIJkPfYTz/9hLlz5yIwMBDTpk3D/fffj4yMjMsefJP7WLlyZa/Gunv37pg2bRr279+P7OxsVKpUCZ07d9aVFxgYeMlzZ8n1LRbHx5KbVho3bozKlSvj3XffVZmDcnJykJ+fj06dOrn2cQBEo4VIK+3atYOPjw+WLFmi0o68//77OHXqlMc3eiOpVq0aoqKisGLFChX4+Prrr7Fv3z7VsXa7HTabTWWu+O2333Tu1gAtmEZ90nJSAJiaQLx1Z//2229dHm2iMOfJyOQoypAhQxAcHIy5c+d6rIulVq1auPvuu7FixQocPXrU4/Ht2rVDaGgosrOzsXr1ajRt2lQFMipXrow2bdpg2bJlhkCtqKjIYx2lpaU6AFm5cmVUq1ZNdR3WrFkTu3btUu3bsGED/vzzT9W52kjKvr6+iIiIgCzLhuPtSYKDg9GvXz989dVXqkjMf/75J2bOnIn4+HgXbyYqKgpJSUl47733yu1FZiYdOnRAYGAgFixYYNgP7Vh369YNdrsdq1atwmeffeby1GNp3LgxatWqhTfeeAOnT5/2WJ4lN65YGh9Lblrx8fHBhAkTMGXKFAwaNAg9evRAYWEh3nrrLdx+++0qF+1GjRoBAJ5//nncddddsNvt6NGjh2G54eHhePjhhzFnzhyMGDEC8fHxOHDgAN555x00adIE99xzT7naO378eDz88MMYMGAA7r//fhw/fhxZWVmoV68eSkpKXMfFxcXhzTffxIgRI9CzZ08UFhbinXfeQa1atbBnzx5VmY0aNcKWLVvw5ptvolq1aqhRowaaNWuGTp064eOPP0ZgYCDq1q2LnTt3YvPmzYahAXicPBGcFy5ciB9//BFdu3Z1xUH66aef8NFHHyE0NNSUy8HCXB9vSM6iDB8+HKtXr8bixYtVpg8j8fHxQdeuXbFq1SqcOXPGkA/yzDPPYMCAAejVqxf69u2LmjVr4u+//8bOnTtx+PBhfPLJJ27rOH36NOLi4tCtWzc0aNAA/v7+2Lx5M77//nuVhu3BBx/EmjVrMGLECHTv3h0FBQVYuXKlzpQ2fPhwVKlSBS1atEDlypWxf/9+ZGVlIS4uTsWDKYsMHjwYixcvxmuvvYb//ve/AMj8CQBPPfWU6tiUlBSsXr0azzzzDD744AND0GwmRUVFmDdvnm5/jRo1cM8992Dq1KmYOHEi+vTpg8TERISHh+OPP/5ATk4OWrRogaefftp1TuXKldG2bVu8+eabOH36tIuQziJJEp5//nmMHDkSPXv2RJ8+fVC9enX89ddf+OabbxAYGOh1oExLrm+xgI8lN7X06dMHFStWxMKFC5GRkQF/f38kJCQgLS1NxVm4++67kZSUhFWrVuGTTz6BLMumwAegxSA8PBxZWVl48cUXERISgr59+2L8+PHw8fEpV1s7duyImTNn4tVXX8XLL7+MWrVq4cUXX8T69etVnkixsbH4z3/+g4ULF+KFF15AjRo1MGHCBPz+++864DN58mQ8/fTTePXVV3H27Fn07t0bzZo1wxNPPAFJkrBy5UqcO3cOLVq0cIGp8srDDz+MTz/9FNu2bcPKlStx9uxZVK1aFT169MCYMWO8IvYy16csJrcmTZqgTZs2WLp0KR5++GGPUbITExPx3nvvwWazqcxcLHXr1sUHH3yAOXPmYMWKFTh+/DjCw8PRsGFDJCcne2xPxYoV0b9/f3z99ddYu3YtZFlGrVq1XICKpUOHDpg8eTLefPNNvPDCC2jcuDEyMzMxffp0VXn9+vXDypUr8eabb6KkpAS33HILkpKSMGbMGC9HSC/Vq1dHr1698PHHH6OgoAB5eXlYv349Jk2apDIBA2Q6euKJJ5CamoolS5Z4FdOJpbCw0JAkHhsbi3vuuQe9evVCtWrV8Nprr2HRokU4f/68i8/Tp08f3XmJiYnYvHkzAgICDDWrbdu2xbJlyzBv3jxkZWWhpKQEVatWRdOmTV0xrCy58cUmXw6moiWWWGKJJZZYYsl1IBbHxxJLLLHEEkssuWnEMnVZYoklllhy2aSoqMhtHCAfHx+3aWQsseRKi2XqssQSSyyx5LJJfHy82yCdbdq0wZIlS/7BFlliiVos4GOJJZZYYsllk+3bt+PcuXOm/wcHB7tiN1liydUQC/hYYoklllhiiSU3jVjkZkssscQSSyyx5KYRC/hYYoklllhiiSU3jVjAxxJLLLHEEkssuWnEcmc3kcLCU7ic7CebDahcOeiyl3sziDV2lybW+JVfrLErv1hjV36xxq58wuPmSSzgYyKyjCtywV2pcm8Gscbu0sQav/KLNXblF2vsyi/W2F0ZsUxdllhiiSWWWGLJTSMW8LHEEkssscQSS24asYCPJZZYYoklllhy04gFfCyxxBJLLLHEkptGLOBjiSWWWGKJJZbcNGIBH0ssscQSSyyx5KYRC/hYYoklllhiiSU3jVjAxxJLLLHEEkssuWnEAj6WWGKJJZZYYslNIxbwscQSSyyxxBJLbhq5LlJW/Pbbb5g3bx5yc3Px999/o1q1arjnnnswevRo+Pr6uo775Zdf8Oyzz+L7779HeHg4Bg0ahJEjR17FlltytWXDhnXYseNbtGzZBp06xZe7nPz8vTh48ABq164DWZZd3+vUqev1eZ6OtcQSSyyx5MrLdQF89u/fD1mW8eyzz+KOO+5AXl4ennrqKZw5cwaTJk0CABQXF2P48OGIjY3FtGnTkJeXh8cffxzBwcHo16/fVe6BJaJ4Awby8/diy5avAdjQrl17VKnSvExlV6jggzFjhuLo0SLXf+HhIViz5kvcccedXgOSY8eKMHRof2zevMW1T5IAh4O+JyR0wbx5byA0NEx3XnLycKxbt961LyGhC9LSnkRRUaGqXm6L3W7Hb78dcvX5SgAls35bAM0SSyy5WcQmy9dnCrTXX38dS5cuxfr1tLC88847ePXVV/HVV1+5tEAZGRlYt24dPvvsszKX//fflz87e5UqQZe93OtJvAEDYWHhGDVqMHJyNqnOjYpqgK5dE3HXXR11mpv8/L344YfdmD9/Fnbs+A4AgZOgIGDuXKBjR2DTJiA5GThzRkKDBg2xe/cPqjYweBEBV6NGjTFo0P04f75IVc6YMcCttwIdOgDvvmtD3bpNkZn5JurUqevSMH3+eTYOHvwes2aVquo/dUoBTXFxHQHYkJOT42oLgyqbDWjUqDFeeWUOoqNb6ICJFhi6A5AHDx5AREQtPP74FN3Yv/DCK3j88fGq/e3axWLo0IfRpElTj8D0yJGjqFat2hUDaldbrPu2/GKNXfnFGrvyCY+bx+OuV+Dz3//+F19++SU+/PBDAMDEiRNRXFyMefPmuY7Jzc3FkCFDsHXrVoSEhJSpfAv4eJayagkGDOiNHTs2YtasUsgysHw58NlnwIULyjEhIYE4f74YNWoA+fkKSAAUUBAaGoSUlMdw4sQJfPXVBuzYsRM2G1CpEpCSAvj5Ac8+C2RlAQMHKudnZQFJSYCPD/Dii0DfvgogCQi4FRcunMfRo4W6+ricoiKgVy9g82Z1mziDsp9fBZw7d9H1X3Q08NprwN9/A3XrAh99BEycCAwaBFSsCPzvf9TWadOUtqSkAKWlwMmTSh1hYSE4duyE63flyqE4duy4amzq16+HpKQRSEjoijp16uLYsSL0738fduzYCYCuv5AQYM4cAnDLlgHTptlgtwcAKMEDDzgQGQnY7cBzzykATavROnasCAMHPoDt27+Fzaaen7i4OCxc+JZO+3W15VK0WTfifftPiTV25Rdr7MonNzTw+fXXX9GnTx9MmjQJffv2BQAMGzYMNWrUwLPPPus6bt++fejRoweys7MRERFRpjoKCy8/8KlcOeiyl3s15NixIowZo9fczJ+vNvnk5+/FgQO04AAyYmJaYtIkAgPHjtEiGxhIWpmmTYHBg4GdO5V6fH2BJ58EHnqIQMHYscCddwIHDqg1J76+wPnzNMbi2BYUADVrKr8PHQJq1VJ+N2oEjBxJwGviRAJOzz4LtGoFrFoFzJ8PlJQABw8CAQFA/foEYlgiIoAjR6huALh4EWjWDKhTh4DLl18CZ88qbRJNZNrfiYkEsFatInDWsCHw00/KscHBwKOPAgsWUBsqVQJGj6b6du1S2upwAA0a1Me+fXmw22WcO6eUER0NfPABgavsbGW/OG6SRCAtLw/IyACee07CrbdGonfvBxAQEIiXX34BJ06chI8P4O8PzJ6taMLGjgXq1IlG166JuO2221GtWnXUrl0HERGKSY+vB95ndK1o/zMSb4739jp1JzfSfftPizV25Rdr7MonPG4eRb6Kkp6eLkdGRrrd9u3bpzrn8OHDckJCgvz444+r9g8dOlR+6qmnVPv27t1rWIYllyaJid3k8HC7nJUFuaAAclYW5PBwu5yY2E2WZVkuLCyUExO7yQBcW8OGDWSbDbLdDjkkBHKDBrQ/KwuyLENOTIQcHg5VmSEhkCWJ/isqgrxkCZ0zYgR9xsTQ/0FBkIOD6btYZ3Q0nSfLtPH5OTlUfmAg/RbPs9nUZdhskEeNgly5MrVH2z6bjTZt3Ua/K1WCnJam1B8WRn1IS6M+NGkCecIEOj4wEHJ6OuTp0yHfcw+Nm7Zd4m+uIzVVOTYgAHJGhjhHkKtXhxwaSmMjnlu1KuQFC6hNfn5U1p13uu9TWhrkvDz9+GqPT0joLHftGq/6LzGxm1xUVCQXFhbKcXF3Gf5nJEbXVseOd8nLli2T8/LyVMd27HiXHBgoacZAuU4tscSSm1OuqsanqKgIx44dc3tMzZo1XZydv/76C4MHD0azZs3w0ksvQZIUb/zLbeqyND7Gkp+/FzExLU3NSK++Ogcvv/wSiop+w4IFan5NcTGZcUaMAF5/nc4rKADOnCFtilmZgYFAgwbAyy8DcXH0H0+9w0FanD/+IK2MltNTuzbwySfAu+8CU6dSXe3akbbi88+pnIAA0t6I2iZRG2O3U7vT00lLVLcuaUgWLqQ2+frqtR8in6dJE2DPHkUzBFAZFy+SNgnQa6tsNuXTTEvE7br9duCuu0ibc/GiXrNkpE06fBiYNUvd3uhompukJPWcN2tGvKYpU0jzVFBgXH5xsVqjZreT9quggEx74tyMHQs0atQOeXm/6DhUKSkSWrbsjKVLV0Ar/fv3xrZtGzBqlAMdOwJPPaWet4SELnjxxVeQnDwCW7duc+2PiwNWrFDGIDd3h6mmSNQm1a1bV3XfllUzdTPLjfLMuxpijV35xFuNz3Vj6mLQ06hRI6Snp8Nut6v+Z3Lz119/DR8fHwDAK6+8grVr11rk5sso69evRf/+D+jMSF99BXTqRAsxS/XqwL//DWzfTv8fPqxflGvVAv71LzJ/eTJNAXT+1KkEOE6dUsCCLKuBU14eAZOMDD2oqFCB2jB1KvD007TgFxTogQADFz8/Ai1mJitADYrq1VNAW1QU8PvvwLlzwKJFCr/m6adpn1hOgwZkhjpzBnjiCdqnBVQpKUDz5sCwYXqytK8v1f/HHwqXh0FG69ZUP4+nGcjMySGQoO2jnx+N07ZtetJ4SgrV26YNMG+eHsBp50asDwCGDwdiYqheBpQZGcC//z0B//d/A1y8nB07vkViYryuXbNmAd27K/MmScFwOE7qQLAkAUuWAD17AkuXvo8uXe5WzaEZ+X758vfw998nDc1mRh59lpDcKM+8qyHW2JVPvOX4XBcBDP/66y8kJSXh1ltvxaRJk1BUVISjR4/i6NGjrmN69eoFHx8fPPHEE9i7dy+ys7Px1ltvYejQoVex5Tee3HlnbQC0mIjSqxdpZrKyCERkZgLHj5OW4P33FdDj768ck5VFXJ+FC2FYpuDsBIAW3sBAIDeXFnaHgxZ7fjCUltLC3KMHaZAyMmh/hQoElOKdzmAXL9K5L71Ev3fupMVz4EACXgMHKuXfequifRk8mLQfISEEdBYvJqKyJAFpaaT5iIyk+ps1o3MOHSKtx7lzxM154AE69swZKj8iAli6lPr2yy+0QE+YQLyjc+cI9IjtmjUL+OILAhncxpwcGktfX+IFzZmjPmf2bNJuLVumjGXHjsr3vDwF5AwbRv2tWJHGj+epYkVg61Y6bu5cpfzu3YE77qBxnzuX5iI6Gti9m84LCNDXByiaO5uNANnIkTR2DRoo8zZzZgZiYlogPr4dPv30Y4wdOwJBQerrx9+ftIdnz1KbnngCOHbsJBISgGrV1PN57Bhdp5IE/Pe/03H8uFrbnJw8HDt2bFSVv2PHRgwa1B9jxhj/N2bMMFhiiSXXl1wXGp8PP/wQU6ZMMfxvz549ru9iAMOwsDAMGjQIo0aNKledlsbHXAYM6I3t2zdg1iwH4uLIK2nRIlrQR44kjUenTkS6fekl8t764gvlfDaNyDIt/MePK+7nc+bQopiTAzzyCB3z7rvAiRMECipXBvbvp/MHDSKAs3evsnAzuHrkEXqzP3SINBI+PqS1YU3Im2+S99JFpxOWqG3KyyNwNWQIlXX2rFr7ERFBHmdcn1YDkppKmpWdOwkgpaWZH8smQO67VuN08CC1Ky+P6gwIoPHJzgYaN6Z6srMJgKSlEWhYvBiIjaV5AGgsO3UiYMSgLyuLzklKUhOdfXzUXnZaM5l2rHr0oLEStWUpKURW37iR+j9xornGJzgYmDFDf42I3nKiuNMctW9P4Exsf/XqwJYtBH5Z2xUYSMc0bBiNu+8mInZpaSnGj0811Rq6q3v58hUoLS0ts9dYeYNiXi9yIz3z/mmxxq58ckN7df0TYgEfYzfgHTu+xYQJqfjxxx9c/dCakgICgNOnaWF45x39wpiaSqaN06cJHBh5dWlNLdWrA3/9pfwW/2dzh8NBgEHtYg30708eUBMnAi1bkjlGq03KyACGDtUDgchIAlZi/0R+EWC+ILZuTbwb0VynPZaBgQgaxTImTybtidYLa+tW0hAlJdECXbmyAkJYEhLo2M8/V/Y1bEimMFkm/lN+PlC1KoFJMxDXuDGZo4YMUfdhzRoyU5r1v1070vxFRxPAmT2bANOnn9L+khLgsceoL99/rzc1nj1LpkKRwxMfTxrEMKd1ic2hY8eSZxt7CYrlsPaKAVJyMh1rxJ3KyaH+aq8DwDtTbELnLpi3wL35S2tS017rN4oJ7Xp85l0rYo1d+cQCPpcoNzPwMeI6uAu2B9DCVlysfoDHxNBC7O4tPSuLAEJ+PvFEPv4YmDSJzEnMbbnnHnJh1/JKRK5LxYrA0aPGROWqVek/QDHj1Kql1hQBVCegJ+GeOaPwc7jukhIiFe/f735BjI6mtgwfTmWIxxYV0UK+a5dyrpYozC7/tWur+xQaSuClfXvSxvToQZoNkQ80fLgxqfjkSeq3kXv9/PkAK0mLioAuXfQhBphLxPvN+l+hAoGInTsJBOXmmhO1za6RkBD9vMfGUp/F45o0IfBkprHx96d2Hz9OYOqPP/QAiflSVauShlEko2vHRqw7A0BfAJsApNrtqN+qDVL//Zip9kaMZ/XGG8B336nnLTXVjhYtOuGdd/Tk7utJrqdn3rUm1tiVT24ojo8l/6wYcR1yczdh584c1b6gIIpenJVFfBQt/+KXX2jBMON3AMAbb5C5ivkx775Liw9zW86cUbRCZlyX2rVJe8ScGa6fP8+fp3ZERBBYOHeOTEghIerjACpLy485d47qEes+d45AD2DOTcrIIMAWGkpaHe2xSUn6tubmkgmPyygtpTaJx6WnU5+Ki6ldM2aQdmL2bAKRP/xAi/e5c/pxmz1biQytna+gIDUPyKh9lSrRnOzbR8DKXf8vXqS5i4mhMQgN1dfH/Cmza2TUKP28Z2dTnVlZBIQaNSLQw+UUFel5XrJMoMfHB/j5Z/24MF8qI0MhsqelKfypoCDSfmVl0b60NDKnVrIDfgB+ABAJoJZcii3fbEH//g8gJqYFBgzojePHjyE/fy/Wr1+LjRvXY9269Zg1qxStW9M1rOVxzZxZinXr1mP//n243MLtuBJlW2LJ9SIVrnYDLLm2JD9/L9atW696c27dWvFK4n0DB9LikJREQQbd/b98OZk0WHhhtNmAb7+lRYQD8b3yCv3HCyFzacwWxo0baXFNSyNAsHOn+q1fbMfRowrnxl179+4lk5NI+t23j/YVFRE/iEWSSFsgywo3adw4AnKPPUYmuqQk6mtiIi2eskyLXHa2ovH64QcCMTNn0vFff62MCffJiJPz7LNKG994g0CTKGbjJsvK4m/Uf1lW2icec+qUwktatIj2DxtGvxMTlf7HxyucnYMH9Zo/sT6AgIyo8eFrpGdP4/aLYQ2OH1f+v+ceAn3bt1N9oqbo3DnF69BsXMLCFO1aejptHTtSO+fMIXOfqLXy9QVSHYop1M8HWCB4maWkbECbNo1x/Pgp1zmSRKZdT9f2gQP7L1s+tR07vsWUKePx3Xc7XftuFJOaJZaUVSyNjyUqOXjwAAD1w3j5cuj2AcoDms0OZv8//TQtQocO0efYsaQ5sNnI7PLyy7Rgp6crCxNrETjgtplWoaSEPnv0UP7jduTlAatXK2anBx8k7YD2OG17v/tO0Rgwr2X6dPIKSkqi/1lzMX8+cVGSkqiepCTScLAGicvct4/2xcTQMZ060X6txotBVb16pE0T20rxZ/RaE0mi7bvviDsjnufOU040T4ltfeklihBtNEbvvafXFFWqRGBI7L8zoDoAJdq12Xi3bq1oU8RrRJLot1H7Fy6k7w4HAVluy759xGnSeukxB4xBy+zZwNq1dH3s3auUO3EiaenS0mgsIyJoDOfMof99fGhsuL6AALqOWTPk70/mWqVeB44fP6XykPP3B+67j8yY7uaIIp6T6fnee7shNralTpPkSY4dK8KAAb2RmBiP/ft3Wl5pllgCS+NjiUZEd3WthsHsrbxqVff/33GHOigeuzsHBSlmHJHYOny4WosSHa3XqqSmEqmZF+jfflPOz86moIWiZkSSSEOxd6+yz6y9U6cSkVqrMUhM1GsuRo2ihYz7l5FhrN167DEyI/XvT+UVFytgRVuPJJHpbs4chTi+bJmxBkbUmsyeTWRy5rq88QaVJ44bAwqHg/YlJlJ/d+6k+iWJzmO55x4l35jdTlocszbUrElA5dZbySXfx4fMiefPE8A1G+/Jk2lutNdIUJC+/axNGzFCAZcjRypAY+dOmgMzkMV9Z20O//bzA267jcIuOBwExgGa27Q0tYfgxx8rJjjue14etYl/v/461cn1NmxIIOmdd2jui4uBbt3o3tFf2xKaN2+KgoJfsXv3Lkya9G9VrrboaODbb7/AmDHDPPKAkpOHY9u2DaowBMq8lSIpiUxqN4onmSWWeCMWudlEbmZyM5Mva9UqRUEBxeJhwvGsWWrwceIEaUOefJKItKI7+rhx9PafmUnagGnTaOH/4w/SeLDZSUtsXbCAIgWLJgWOUsySmEiL8ujRigv7Qw8Bb79NWiCjPFJ33klml3PnFE6S2N6xY4mQW1jonpBtRuZt1kwBcWKZp04p7vSyTNdChQrkUm1Wj68v8MILpA267z5amEtK3BOpN26kceUyjx0jTZoIAH19aVy6d6f948bBlc9L69Wl/Z/FG+8mQB28kL37Zs7UXz+ffkrtmTiRrgkGj0btj4oiEPjZZwTYmjYlUjcLu+4bjeuQIeahBzj/G4Px/HyFN2Z0zeXlkVaO+75wIdCnD2kVRbf8qCjiFK1dC7z6qt7DUYxoLo6bNmJ3dDTw1lv0wjB2LI3/998Da9duRHR0C/3gg0xjsbEtXWZgs3lbuvR93Hln7cvuTn89PfOuNbHGrnxikZstKbfMm/cG6tdv4wrsN2ECefeUlKhNOiUlCgm0UiVaOIxMPvxm378/LRazZ9Nvf3/61L6dJybSQ3/hQlr02AT29tv0Oy+PzGuJico5xcVKkLoLF8hcoyX17txJ2ghfXzJRtWyp70/37sZtEgnZZqaJXbtoIRfLbNmS6vLzU9zgZVmJNWNWz/nzNO7z55Ppio93Z7rSmhzDwmifeMy4caStqFmTtGIcUHLjRn1wQvF/JlV7aoNodqpUSWmPaObjsQkKojqPHaP/586l49lMFhZGkZZjYpTyf/6ZvPkmTqT5ys0lsyRnvjl0SOFdaU1n2v4RkZiuiyefpP/79qXf1arpTXq5uYrZd98+dd/tdpq73Fx14Mc//qD23H03gbUXX9STqktLCQjfeSe9XHCQTLHuggLSjPG1zGTu0aOGmRKV2WzNZmCzeZs9+2WVGe3ee7vh448/tAjQltywYgEfS3QSGhqG1FSy1/AiumwZgR9R6tQh/g5AD/DVqwlxBwbSIpmZSQvv2LH0xlqxIj3EP/6YzmEAZPZAjosjINKvH/3euZN+i4H5WEvhzjuJywIUj55Ro4D16wlETZhA/7EGxl2bADLFLVigLKrjxtGbPaC8pdepQ9GM16+nuurUUSJbb9zo2SOKOSO5uaQt6tDBeEFn009iomL205ZZUKB8Z7JwXh6ByMcfB8LDFROgyI9iTzFeqCdMoH4atSE6ms7bupX6OXAgaWS4PQzCxPHmdg0cSNoY5muJ7e/dm4jfIpgIDFTSjGRlkcbngQcUgBMVpQfhfM2YAc1q1eiTo4jn5xuDJNbmBARQfWPG0LwMG0btLCkhUDZ8OM2J6C0WFEQcLuYVifXbbKSNHDKErnO9pxfNx969ahC+/+B+4vz003N+2Gz9228KsV4LBqtWDccvv2xFVhZpk6KjgS1btmDkyIfKxCWyxJLrSSxTl4nczKYuQFGTa00GGRn0Vt+6NS3sgDrq8syZ9DYqmkcqVFAiJPPxHJWXFzDRBMJAaeNGOp7NP4GBpAHh45KTiTtiZi5ic4S4DzBX+S9eTK7aY8fSwiaawVJTzXNkJSaShqlpU4pXs3mzPhJ0/foEBEXukVG06tRU4zg1bBbUxt5p0oQ0YZs3E/+ktNTcJCnLpEEZOJA0F/3763OO8ViuXk390o7V99/TOIimmehoWrTvvJOOj4mh9h86RPuMTIri+EVHU2iAixcpPtBvvwH/+Q/NhxiQURtFmudXnFu7nfhCDz1E12rDhkpSWXeJcHl8J06k8ADurhMxYCfHU9LGGiopoRcFNvMuW0baHjEmUuvWdMyMGfr4Rjt30txq687OJlNsUhLQAMAvANIAvCZJqN24CTJfe1Nlqrrvvm748cctmD4d+N//1OPJ1xKPiVEUbm1MITPPMqP919sz71oSa+zKJ5apy5JLkoiIekhI6ILUVLvqLfGFF8hVOTUVCAmREB3dDP/5T7rrDfvbb9UpAwCKKiyKeCO/9ZbeBHLqFD30uc6UFOJdaE1tkZFUhtlb/GuvqbUSDRrQfjMtyy230KIZEED1iXU1bQo8/LA6R9bChYrZjYMQbt6sr4PdlpcvV3tlGXmENW+uaJ1Ed/qpU8lE17Spuu0//UT7Ro9W0lE0b64vk2P3PPwwAYL//lch7rJ2yc+PQF16umJK0Y7Vrl0EeljDBSgBCr/4Qq2ZYK8rrfbl7Fnqu2jGqVOH5nf3biU9yc8/G8c4Ej3lxPkePpzA8csvA61aUUqSwkIlz5ifH4EuI23Viy8SsJo+3fN1wmB60iRypTeKMXXuHI0Dax4zMqi9ouYqL4/G2khjOXiwcd0//kj3niQB/Z3/bZWAEw4Hdu7ehZiYFrj77g7YuXMHAGDo0Idx4gTFHBJBT6tWyrXVsaOi4dN6w3FMoe++244BA3rrPMsOHjyAAf00+w20T5ZYci2JpfExkZtd4wMAx48fw5gxw1QRnEWNgxgH5MEHe2Lz5k0u0CO+bderp2iKWOrUUXJuDRxIC+W+ffRgF48DCATt20famJwcIp168xYvCre7ShUCZloSto+PkhKDy3v9dfIY4gjULByjZsIEWoRycgictW5Ni2C3bhQzaPRoSor5zTdKAEOztiYlkTbGLF6PJNGCfPiwnhx7yy2kiZo0SSmzTRsas7p1qX6z8WBJTCRN09Spam2Onx+BGY7Rw9qjxx5TErWKecFYMzFhAgFD1uwEBdF3d2MAkMkqO5tAkCftjFbjs3UrmRVFrYrYz65dafwY1In/S5KioXnoIQKwgYHKdfLuuxQziWMBORzU9yFD3JO9AwMJeLFLP4+1qLnSegKK/ezXT68l8/MD6p0H/nAS5c9VAoYOp+tBjAIeF9cRZ86cwdat21z74uOpzMmTaR5Z4xMebqzh475ERzdDQcEPmDWrVKUNsttDUFp0ArNKS9ERSvTqFh07YenyFdfdM+9aketxvbgWxEpZcYliAR9F9u/fhwMH9rviivB3VmkfO1aEUaMG48svN8HhUNIsaM0bd95JD/OxY5Vs7bLs3gzColXLszRvTh45WiBz/LjiHVOxImlDBg4k7dPLL6sX99BQ+hw5Uu39kpdHmg0xfQabMnjRYGGvm6+/Bv79b7Wpj01aJ06YLyzZ2dSHLVvI/V/r4s/mtbfecg/ygoPJtKg1HZ45Q2CTo2kbeTfZ7USqNkvlwH2pXJm0NqdOuQcxkkQArLiY+jlqlHvvIhY2JZkd5+9P2r5PPlGDsQ4djHN+ValCLvoFBTR3p0/THHEC09Wrab4qViStGkB9mD1bnyRVbF+DBjSeHISS066IQJPjLM2dC9SoQWDntdco1QibwRYvVmt4jLzkRADnAvES8LewTzunRilLOE9e//6cTy0Wv/yyFZMnl7pNJsvfjf7LACDgNmQBSAKQm7sDbds2vy6feVdbruf14mqKt8Cnwj/QFkuuc6lTp67Knq91d01OHo7vv/8a06fTm/iYMXotgyTR/q5dFQ8fftMWj4uMJN6OKK1b0wP3qaf0MU/276eFTBsDpqhIWaBKSqgujjTs5wc88wwBjGnTFM1T69a0MIvxZsT0GYA6dou/P22FhaRlaNqU+hMcrM/tVacORRM2i2UTEECu0p9/7j76tFnQwcWLCbiMGUOgTzv2gYG0SHOftDFd/vhDn0VdrHfECPo8dEgBSUZRq8eOpaB/b7xBx4qAzWh8xTGIiaHzk5MJyJgd5+dHY8TggDVybLITI46PHEkaFZFEPHkyaUbYS433nz5N2223EXjidBoslSvTXPNCdOAAzdvQoWrzrp8fAaiLF6nvmZnkzi9q8FavJmI5oOSR0/bzgQcoISvPmSQBAQH+uKNmbezd8yMuBgLpTm+0SZPUc+op2jprB4cOfRhvvglMnLjFdD4ZaJmZlKtCsx88PvvRtm1zWGLJtSYW8LHkkkSb4mLDBiLbzpxJC9PKlcTnOHOGFhx/f3pgNm1KZi0/P+D//k+tqQgO1msdxo9XYuCIi7rdTosM52w6cgR4/nnS4ths9NC+eFFPPs3NJSBVsSKp/jt2JFAhppUQORCi8AO/QgXihAwfTovv7t0EsubMobHIyyMTwuOPK8Rks4VFXJjd1fnpp+r/eJGcM4fMMXXqqE09TZrQONtsBApKS8k8oy2/enX39fbpo/wnBk00Ap1ffKFkTxcBW2SkenzFMahenYBBWBj9N2QI7dceFx5OJry//6ZrZd48tRnyjTfI9Dd5MvHNWHx9lThKL75IcwcoizqDGUkibSS3HVDMQxMnUv8++UQdg8coI7wsE5DNyiJuF4PZpk1Ju8O/Abo+AgMVcyIHsWTQ06wZAdpJk4AzZ0pwsOAAzpUCUbXVZmFx7jylw1i5kj6ff/4Z/PrrrwDUfCyWCAmY4QAehjkQFXFbHgCnY5xLQ/xPyqWk9bDk5hGL3GzJJYk2xYUYryUujt62z5xRNC9Mct25kxbhM2eIS/PKK+TdYpRYk8nEQUGkOeAkkYGBVMatt9K5Q4bQ/tq1SesxciS9oRuRT5mAy27YTGQV28/pKsxIrjab4kI+dChxmgBa3DjlRWKiAnqqVtUTfVu2pAUdoDd8XmzN6pw/35icm5dHmdAPHlQTZX/9Va3h4Zg42vKZ32RWb11hDRHdqTmjPcsnnyigRzz200/p0yieT716RGQ+epQ0IRw9+cIF9XG1axOIHTRIOSc4WOlvZiaZGhMSFNATE0NzVKmS2gU+IECfODU6Wok2LY7hzp0UgmHOHPp+9iyN5RNP0PVndL2ytyFAQJBJw5MnGyd+FVN+FBcT14r/P3iQQBAnzC0uLoEkKak1jEIweEr1kplJ1ySDHp5jSbMiHACBnup2IEUXxsCOqlXD8YLdjkwAXSSgPsj0BQBPPpmGYxxg6QoLp+YoT1oPS24+sYCPJZckYooLQInXwmaESQB+cQDvykCMxtuLTTC8CPDbq9lb6sMP0+LRsSMtIOHhtJ+zpLOL/Sef0G82IZiVt28faSE4JQbHMmnYkDRTnAPLLHbOnDlEqLXZSBvAgfcGDzbOqeXvr2iR0tKANWtI29WkCXGJPv+c2uLnR2/92pgrTZroPdtiYmhhnTOHQOStt6oX4VGj1GMgal3E8l98kbRnRrFeoqMV8jKgLJ6snWHitngdaI9lwFZcTPyS4GDifAFkRhs0iIBir17KdXD6tGI2zMuj9B5z5xJoXbuW+s2ggwG0r68CZgGah6efJs3czp0ElsLDCWQeP07aFj5/504CFmKWe04cm52tmNbYm8yTlkyUOXPo2jTynOIghgw6Ll6kNo8erVxnn3+u5/2cOEH32aBB1BbxmmEvNqNAjpJE/dVy1P78k76LnmchIXQ/nAsAKhSrr70WLTohO3sjWnTshGQJ2K7xTtuxYyMGDeqPKy35+XvRr9+92LZtg65+KxeZJUZikZtNxCI3ey+c4mLmzFKXWSJlLHDyFHDQAYi0lE8B3CPEQRE5GRzvxoxEmZNDi0xRET2Mz551T9xkjoS78goKaDE4e5Y0DNrM2y+9RNoKMQ0Be+UUF9MiMHcuLU4//6xO0+COhNyhA/Dll8pvMU2BUcoCbcoOM28qHkfOLv/RR2QiEdtz7BiZb0STWNWqBBTF+Excb0AA9VE0OcmyOobSLbcQkPD3N07ZERKiRFcGaKH+6y9ahH186DyO7aQ1G1WsqJifuJ99+gAffkhAdfJkdWyk4GCaD7GMevWIY8XmUvEeTEwk7R4HyhQzy4u/J0wgUMDjm56u50WJc52RQWCY22Cz0Ri5I22/9pr+emYS9D33EKjnFC2PPKLkEBs7lsZR5AtVqEBzd+KEej4dDr05eexYmk8xNpXoecapNwCgIoAWbWPx0co1AMxjfvE4vPLKbLRr195lejIyR3ljotIec+xYEZKTh6u8TrndYWFK/cuXr0Bpael1Zf66kdeLKymWV9cligV8vJeDBw+gR4/OOHq0yLXPVwLOO8jDQ3gWujw+KgI4C/0i0KULLVBGXlrs0RQXRw9rswdtSAiZRfbvJ3CiDeiXkqJ+yPObtpH3FgcT3LuXFqWMDNLUlJYqrvfbttFCkpBAi/n58+aLG3uyBQTQgqYNelejBrWhQgUyU+XmEm+FF6oaNcxzUTGwWraMgJG7QIljxxKJd/JkWiz/8x9aICdMIBJvXh5xUziUwJEjSl1VqpDG4PRppZ8HDgBt25JpURuM7+23gRYtCNSmpZE2YudO0kZFRJBmgwMHmvVr7VqFGK/lFLEHnNnYZGYS8DDLfZWaSv3kSOBmXnz+/mQOEr3JfH0JMGu96GrXJg2V0fy4A0pmbu2sBbPb1fwzQJ1DDCDO2aJFNC8nTxKXjYHt1Kl0T7h7GWACuwi6tOEPJAl4/fUlqFSpEv7880+MH5/i0VsvLo5UYzk5mzT7bMgRQqOLYTIAGAKchIQuuHDhIr7//iuNi70SQPP772mexXZryy6L/JP8oX9qvbjROFHeAh/IlhjK0aMn5SNHLt929OjJK1LutbAldO4ih9vtcgYgLwbkZwHZD5AlQA4B5CWAXOD8DJMkWQLkiYAMQM7KgizLypaZCVmS6D/eoqMhd+gAOSwM8owZyv6CAvW5BQW032ajT7udvvv5qcvj8iUJ8rhxkKdPN27LkiW0Py+Pfu/erW9bhQqQq1bVl21WlrglJkIuKtL/z/XJMuSNG/XlxcVBDgmhcwoK6DM8nMYJgBwVRb+zsuj/BQv0YxAdrdQty5Dnz9f3TXtOzZqQt22j8zp2VLdrzx7I2dmQR4yg/Y8+Cjk9nb5nZNAxiYmQg4L09UgS5ORk93M6fjz1MySEroNt2yDHxKjbkJ1tXEZ8PJ3H45GVReOTmKge+zp13M+dtt2+vpBffpnK1/Zn927jfkiSfu7Cwmi/Wd8DA5W6fX31fQkJgdysGf1/5536eROvswkT3I9zSgrkhQuVuePPwEC6ZsQ6teNhNm45OfRfaCi1TWy7nx/tV8+NXU5I6CJv2bJdXrr0fbl9+1g5PNyu6bPk8Z6Njjaadyq7LM+3PXsOygmdu6j6mtC5i5yX9+sVe6Ze6fViz56DckKCpk8JV7ZP/8TG4+ZJLOBjIhbw8W7bsmU7PYAUS4UsO0EOALlh/SjVzdW8abQMQJ7uXATCwtSLQEgIAYmgIMiDBikgRgQ0nh60NpuywCxYoF+YfHzUvyMj3S8G2dn02+hByotWRga1OySEjgsPV/fL6KEvLr5cl1hfYaGyGIttKypSgy0GMiEhkCtX9g54eQMOQkKo3bt3638vWUL9CQpSABdv1atTG8WFe8kSOi8w0Lge7mdamhr4advdpAm1ITER8tixtG/xYjpnzx593432aRdIcezdXQdpabSIp6UpY6EFs56uTQbk4rFRUe7P8fEh4K8tu7CQxkELuoKDza8zIyBdWAi5cWNjQBoQQOdqXwL499vOe9/PrgZ0M2bQXMfFKfXwS8vatd7Njbvx9ATghg1zX3Zu7g6vn3H8YpcFeoHLAuRwu11O6Fw2AHU51wsGhWXph6pPCV10YLI8oPBa2yzgc4liAR/vtqVL36cHkAb4FDgfWHxz8ueyZR/KAOT2zv+1oIS3jAzIy5bpH8Zt2iiLhRFokiQFyLCmQZYhr1kDuWtXBRCJN3xgoOc3Vn5omx1zxx3K/0VFxgvSggXmi6/4sE9Pp7ZFRytt0wKCzEw9EIyPpzHz9EZfVnDAi5cILAFaLCtUMNemiOe7W8SMtE3x8dTHkBCq47nnSBMhjpUWwCYm0hyL14WnBTI7W1+eO5DEmi3WhBi1u3Fj9xq5yZMVgCqCIe05fD0nJtJY8LEbN1Ib4uLUmj0GkU2aKO0Ux4u/a7VO0dEEYsPC9GWFhalBLINyESyGS+qx0I5JQgLNi3auPF2rAORmNuNjjACcNwCfy1669H2vnm+eXuzKCzzKu14YaWqaN4+W167dqGqzO1Dk6tNlAIXX2mYBn0sUC/h4t3n7YNiz56DcumUrQ61NXh49BLULZJUqxosqq/K1D9jKlfX7unaF3KmT+4XXaDFgLY22vWYPUm6T+H9eHmkjPJ07YYLadCDWqdWmiICgdm0CZeLbrScQk5KiX2Q9gQNeNLWaEXfjCRBoY01DXh7kPn2M6zHTNkkSjWtAgH4MAMj+/gRuxWujcWMyB3nbxvR0qiswkACWmRayQwc9mLXbjbUrXbvq5401cpJE7Q8Pp7Y3a0ZlGGkmIyIgf/qpApxiY43NwKLJ0khbwuXydWa368txN0ZxcQrwyssjDZG2f6wJrFVLPy/G5izlJcas3owMyEFuXkqM5io8XJKbN4+WmzePLvPibgQYvHmxu5ILuHa9MNLU8HUVF9dRjouL04BOvfnK1adLBIXX4mYBn0sUC/h4v7EqWOTyiKrgPXsOylWrhqtuyGbNINevryzA8fHKG+fGjZCHD/f8UCwooE9/fwI9TZroF9DQUFoI09IULo/ZDR8RoX6YV6+u/u1Oa5OW5vkN1N1/jRurzRm8sBq90TMgEAGS3a4sAjyW2sWbF7zgYP3C5al9omZEu7njWk2bprTBSHvlCaiJPKGCAlqAzTgsRpqjqCgCIlrTowg02fQ0caI5JywqSr/fz4/mzUxLqB0nEdibgdS8PAWIatsQEuKeqySOfVqa3hzL5VSqRN+nT4ecmup5HgMDqa/M8YmK0rcjKEgPOBMTIW/d6n5+bTZj7ZjIv5IkyGGaY8LCaF61YLR9+1h5zZoNLlBoNO/t28eqnl/u+C5XWuNjpp0xWi88aWrc8aW0dZYVFF4vmwV8LlEs4OP9lpf3qyH5b82aDfLSpe/LLVo0N32jF3kSmZn6B5kn3k1ZwIUn8OLjA/lf/6LvDRsagw4/P71WqGtX+m2kNeJ+uvsvI4P6LdbHC74nQODrSyTfqlXVC48RX2PcOHWZeXkETABFC6FtH4PB9HS1uUYEDN5wNHgBFX/Hxys8HbN5Zo0Zz3diot4kwwulmeaocWNjAjL3ISBAPV5azRtzxrT1MqAQTZCiFo/7PGECAaElS0irxP01I2NzGQsXKv339CKg5d5s22Y8HzabHqB4IuTfeqv6fKNjjYnEkFu1ct/HuXP1IJyB7J49Sv9raK7n+HjI+fn650Xz5tHywoX/kwHI8+bptciSBPn556ernl+e+C6eXuzKs3kiFxutF540NWUBM9xnNeC0OD43vVjAp+wbc3nWrNmgA0Lu3lL4YcqLL2t9vHnQa298s4fC9OlqzxKzt39vFgKjh7SZ54/4mxc93tgTx6ivnhZFXhB4gX3pJUUjwWTfvDwqh7UPDHLEMlnrsGCBMS9JBAW8uDEZlzd/f4WXJHopAQScFi821hKEhJgvpFqAZ0ZeLivwbdUK8siRxh5sCxZQ2yIiqE8A5EmTII8a5b7shQv1+4KDjTUSYju9IV6LdXi6HmbMIG2O3a7wskTwULGiMYALDaVrU282UpvoKlRQtEVG11B55oXvY57nSZOMSdsVJMjtAPk1oTztywL1xSaHh4eozo2LI1M61wEoXlneaD/MXuzK4wHlzlNNBB7l0fi4uz605qu8vF8try5L9GIBn/Jv/IaUCcjNPNyQkqTWBIg3Nb/da0FKdHT5Fj4tSdRo0cvKMn64a9/EGXAw8TkwkDQvWVm06LVqRQ/1tWsVbgtvbOrhBYPNZGVZTPgh/s47ei+h0FDI+/frz1mzxrhMXtyWLKH+TJiguFCbATkjcxCDGD8/Yx6JWV8kSa9tEhddnm9PYNDdf336KHPl42PsnZeYaDwnr73mvuzhw/UgOipK8X4LDKRrigFi48aKJqhZM/quBY7x8WrPKE/Xg3as2YQk7mPNjTuzk3i8FtQHBhp7oPG8MOmawQyPD4+3mTlLPNbfXzFRaUHynTYKlxFlM3dIMNM8RUfTuPr5QY6WFI1NWfguopOGp2eg1oRl5BJvNg+vvDJbzs3dYbheJCR0kcPCJJ3W2ZM3p1mby9Kn62GzgM8ligV8yreJNvGugFzJC0CSmamYvMQHUFGR3kQRFkbAgm/8GTPoYWmzGXvG8CLCb7ZaN3Aj05cnDy6R6KtdcERwNX26Qp6tV894ce7alfgRngCJFhDwwhEaau6GbrTIGJVp5JrdurWiIbLZ1IRVM7d+Pz8aj+homiOtycgdYNGaO/jcoCDSOqWne+fJw5oUrUeTdq7M3OZZsyLWVRa3ax8fNYAw0iSagUnx0wiEMIdNO3fh4fSZmam/X8RwBAwW3M0DoGgMtf8z2LfZ1C8kU6e6vw+M+uyJlC2OtRGZ2tfXruuLN96J3KZ0ZzmvvjqnXIDBbDMzYcXd1dHlEr/Y4DlQWKifu8TEbvLevWoNjJGmpmpVmg8jTtONYL4qzzrrSSzgYyIW8Cn7tmXLdnnSpMdp4XDelPfD/I1eNHGZLf78AKpfX/9Ga/SW26SJ8Vur2dtgSAjVr10IjDg5DCD27KFFwMg1PjxcD64qVoS8bp3xQ71rVwUwGHmVGRGseUFLSvJuQY6OVrQPwcHmHA8fH+LcMB9FjK+TkUH9Zu2HuzpFwCGaF9xpGkJD6djFi4lkzCYbbTuNyLChofRf48bGBOR27UhTERSkJ7Dz9cGLu9g/NqUsWULEcyPQoR1LXqArVqS62KzEhHMjbQaDWSbiM4DXAkv+T3vNc3sTEsz77w2gZ9Or2f8iYVtcpI3uAxEI83GTJhGYbt1a/zwQzaNaUNCxI4E20VMsLEySJals5uHsbIFbBAqwKrb/cgAGI76Qq62ALAPyHoP7wZi7Zt6GtWs3ytHRzVT3llEYjfbtY69781VZNgv4XKJYwMf7zegtp5bzIdbA+WDmBVS7QIi/3RGAtQ90o/gxDGLYUyUnx/u3QaO3f+Z58Nakid7zyqw88SEdEkJvmwxy+G2ZtQppaZA/+ECJP6RdlHnB6dVLrwlw96AHKNqyeKyRZueZZ+h77drq/4KDjQGSpzpbtYL8ySf0/Z576LNDB6pbO7eNGxtHljZa/Pla0M4BL9hch/achg2Va8wIdIgxh3JyFICs1aAYaWp271a4VKImkAGrqDHylrDO148ZsMzIoDEWgenGjZ4J2O4APY9N9erGXB9xjLgPeXmegTC3L8TAHCv+5nGuIZRfWKgnJ2vNb8HBNnnGDALMnjwrRUAeBYoqnwXIu0HmL7Eeb/guWnOWJw5ODgj4yICcKEEOD1E/B8qjdXrlldm6+1EMo3E9u6ZfyjrrSSzgYyIW8PF+Y7uz0SKlXdCaNaO3PuZUtGqlaISMYplwigPxge5pAVm0SP+/p7fBCROMyc6RkUrqC/HNlh8s7t4ute0KCKC3djOTB5vDRowwBmIxMWowMHGi+3HgjcmdHPCONSsZGYq2RNseM62DNk2EUZ3euoP7+EBu3lx9fs2aCuB0BypFsCGmMfE0Fmb/azlNFSuqz2vVijyltO7mZuUZeW95umbEmE+LFxsfw+EIuG52F/fk9dW4sWLm4fg5ZmCC51gEJZmZitaJeXlLlpBXlrs+cZuNQGyVKnRdrlmjjOk2QA61K9wuMw8+M1Mzx1YyMncvWUJgI8p5jtZFnc1fy5d/5PZ5Z5bCgr3JzMYiTairyABseUtMFjdPYKtdW0vjYyQW8DGRmwH4XGrY8yNHTsqfffaF4Y03Y4bxG6gIiF5+GXKjRvoHtri4MBAqC4ipUYMeftoQ+t4sjEYP08aNaRPP90aDxFwT1tjYbHT8woXK2GRmkqZCW2eTJop5KjxcefPV1sccHyPOjrhYcG4tI00bL3Y8V57AjVGuMDZtsMbAaM55oWYXZxGY7d6t/OZF3Gx+/f31Ggkjjph2AXb3f/36BLxF0MvaMlFzKJ7TqpXaZDN/vnFONAYn5dH4sHmRx0T0suO+JCYqQM2sf5UqUdsSE9VAzB2XR7uZmV2194UY2Tory32ftSArUYL8Fbz39vPxUTsmhIXpvSeNeFYAyh2U0CyFRWzbWLdtDgJULvGhgNy6VWv5lVdmuT3PExAzdE0PUZO4r/Za809tFvC5RLmRgc/lTFAX3bSZ4QPXU+LPqCh6CPHbvdkDmzkUZSExmgEYs7QA0dFqb6bQUNpatFBMBUbtFDkgWvONkWs4t/m555TviYnm6QL4HHfxbr76ynuvLtasad+gxbbx2Lqbk2XL9OYmSSIuibt5yclRxiw9na6RESPUARWNFlOja0esOz6e0kB4c014MnUaAWGzc7ZtU8+zmWYjOlrP8TEyNTF4rFSJ5tAofxab7cR2FRV5joLMRPVt2zzfP2JS1Jwc9+kxmMweGqoH1RUrKtpXdyBWdT2GQI4QwYnJeZw0lTXH7l5k2rWNlRcu/J+8fPlH8tKl77sIzRka4ONNUEKzgIYzXPMTJQcGShovPUkOCw2W/TTt8gPkuLs6moIX8Rngzn0+L+9XuV27WB2ALPKyTzfSZgGfS5QbGfhcrgR1/BAweojef7/7Bxdv2rdg7RsjAx9t+UbeSUaJQAMD6e1x5EgFbGkfzuLvBg3orVq7uBq9rRcV6R/2bA4wAjJagMK2fW8WbE/HPfgg5M6dPY+5u3rEXF+eQIJ4HpvmPGniWGuhJaAzadnfXwEORtGnRbMcoOc7hYWZc8REYKL9v2tX8+vTLLBj69bKOd4QuEVQ586rq2pVyN99p2hozABx06bK+OzeTWNj5DbOQTfFtBUFBebefRy7afZsPRg269unn5I2yMyc5e5cd1wmd+fFxanNc1oXet7SoGg9jF74oiXi+HgblFCbwqLQCTI8zSvXtQ2QswE5TwNKjLy1uG3eJEXldi12ls2AjLVYkyY9flOAnxsK+Bw6dEieMmWK3LlzZ7lJkyZyly5d5JkzZ8rnzp1THRMZGanbvvvuu3LVeaMCn0sNV75ly3b5lVdmya+8Mlt+7rkXaXGQFKLe7t1qMGBkAuNFihfJ6tWNs3zb7bQA1K+vJ8YGB+sJku6iMouLZEYGLdIc14YTohpFeRVBCpuntItFTIzCN3nvPc8PepHUzOWbgYWKFcnkwm+4Rouw1rPI3eJryj9Io77xGJjVFROjXiQ5wrU3JE328tESkMPC9AlCzRK98ndfX7XJbNo0JQmteI4Yo8mIRG3mVt26NX2aBXYUU3GEhCj5xMzGt0IFyLffrgdrzZpBvvde6n+FClSelkRsNJapqQqY4TKnTfPsVm42ntrfMTGK+7ynXG6e+EVa93c2jUqSuRnx/vuNgRxfo9rjmVOnBU4iwDAKGuitVkX3/HQCCyYpm8UeathQrc1KlPSgRDStLV++QgYgj9AAGE+aGyNNVCEgR2vmvLyBF6+X7YYCPjk5OfLkyZPlL7/8Ui4oKJDXrVsnx8bGyi+99JLrGAY+mzdvlo8cOeLazp8/X646b1TgU94EdXv2HJTj7urocgF1PSwB+RVAbqF5q05LU79hawGRuIAA6ng0Rsdq+QVxcQp3QvQYc6ftyMighY/bJJJNjaLAhoRAvu02NUgxSn0ggi1vXGplmeoTvaY8cSDMtAXaRJlmnB/RnOVJi9O4sXE+L1FjJbZDnBsGNkZaBwYHZQFmOTm0cAYGqucmNFTRHNntau1ITo7nxVgERpmZ6rbGxxMYYi3GkiVqU6hWc2e3e47uzMR1I2BSVKQmaIubJ9KweCxfz2ye0mpBqlZVNDC8hYUZ57jjqNoiX8asb574RUb3Df9OS1OOLyzUa1q1Y20GVDkEA4cE8JMgJ0INMNz1wROPRtyY48PmLU/cLa0ZlQGNFsx89tkXct26ddTXh0QmK2/4R9rUGtFQPNdELtKNzPm5oYCPkSxcuFCOj493/Wbg89NPP12W8m9U4FNejU9C5y6yHyCHaW6kEJCtOkpSeDDp6Yqbq9bMoH248pu+2CYjEMIEX23uJl7oPT18+JzMTP2C4elcm03tSSN6FGlNBt4EP2SNRny8QvQ20iQlJtJi0KKFur2tW5OGSuu+yyYJMwKzlvDN9VSpok5tYLSo+viQh1uFCjTPaWm02PA88iKm5b1wWWYBHLULpJmG0Gw8zThB3qT8SE8nMKYNOMhAtqhIrwX08yMNJF/r999P8xMSomyeTG1aAOcNaVjbb9aGiFpDT9ex2T1ot3smERtpO8VYXJ7unwUL1PeNyCcSzXVmIQxsUL9IGY2vOHbVJMj7nQBjPuh8d9dDWdy+tSksvPXwdF17UJvW2EvMMC5YCIEfb7g6Rqk1rlRy1Wt1u+GBzyuvvCL37t3b9ZuBT1xcnBwTEyP/3//9n7xu3bpyl//33zSIl2v7+++TV6Tc8mzuEtQZHZ+bu93jjQQQAdeIgzFpkmdQwg8Ob1M1cPoBI8BkRBxl0MEPH047wa657h5cjRopbrxGD14jDYCRmcgs1UZkpLHZYds2Mt/ww3DjRlrouCwt4Vpc7I1iyxiBoiZN9OYXSSLgmpFBdbRubWwyBGjMjYjXYiyRtDR1TCR3vA3tuHkiv2uvH/7fmyi+2jlr0sScsM4pSMwI1qwZMcvgbmYGNAuqWaGCOSAWPfxEsCvG4ymrxu/tt80Botm1I5qa3cUHYo2fkamLA0p68uIKBORWgNxQqzGTKIdXoL8mwGEImeCXgF7Mgjxce7m5O8r8HGWzVFk1PrwldO4i791LYCVEktyWESJJckJn4+ez/nm9wxVI1p3n2tVaf3JzFW/iy102r7Oe5LoEPgcPHpRbtGghL1u2zLWvsLBQfuONN+SdO3fKu3btktPT0+X69etfEvi5UaWoqEhOTOymWcC6yUVFRYbHZ2dnK4uLyY0EEF+BUxu0bKlfDDwtXllZnt/U/f31IIGPNeKFsMcJe36IAIo9sNjV2+yhM2iQuo9i+ayynz6dgBQv1EaLhDa+iPZttWZNGqsGDeg3a82MstZLEsXAEdvtjbebFhSZZTSXJDU/xCi2y7RpBBo9RfwVQYbZAtmxozHPisfCnTbBDFCZpfyoXt3cQ6lrV9q04I7NK6JXkZanxC77RpoNDqpZFnDG4yW2pXNnhYDOZXHqEiPPOEDNATO7r+6/3/2LBkfMTkuDPH48ARbxulmwQM8108YH0l6/NhsRo43uZW37hjv/j9P0jX979OaDOmig+MKXmNit3M/SxMRucni43RRwRker64qL6yBnZ2fLeXl5sizL8p49e2SASNju+t+qRQvT57ORcLlmL6pc/z8phYWFcmI3zbrTzXzduZJyVYFPenq6ISFZ3Pbt26c65/Dhw3JCQoL8+OOPeyw/LS1N7t+/f7nadiNrfMQ3A2+Qd27udpeqWAy7ng0l6Jf2YWuUUsLd4sXcG0+mDU60CJhrkkQvGwYhHBNHa3rYvZvOiYtTv10bxWRhMwhHrF24UF/XbbcpizsHCkxPV9T42vJSUwlArF2rf2A/8IACMowW6tat9RoKM2+3GjX0Y+Vp4WW+ixEhWethZQZotCDDiGCsJamzNmXtWjrHyMwSGKiQvtmlWrvwcFiCsgApHx8CPswRmjTJ+DgzbyQG73l5xvmXymKOq1BB4c888ACR8UVSvjsiOG8c4dyTVkIbG4ld78VUEtr4ONqymARtFh+oYkW1idTIBd4dgLHbSZOjApzO+9lsDEeOHE1jDOLKJErq+urUqSN//vnGcj9D9+5VvLG0z7uqVcNVvxMSSMMjns+cy40e+i8+o7UaEzMNipbzI5rXrsZ6Yxb/6HK257rQ+BQWFsr79u1zu4meW4cPH5bvvvtuOS0tTS4tLfVYflZWlty+fftyte3o0RuT41OejXlB0aCgW9Gah6td0msN/PzUi2VUlLkqHKA3SDYZGS2ivNByfCBeMEQCqtb8ZOSWrl10zRYPMz6En5/+YR0cTHXFxSkmDe2CGx1Nb8SBgfTwr1dP/6CMi1PSR2i5J2YPRCNOjXaB8vNTImSLAMKTtw6bsNzVL/J8tFwVT5q055+n8TAa5+rV1ceKRHAjs+DSpebpDcRgd55MZ0bkZRE4MxDQnr97t75dWhdv7T3gKcUCAyyjHFwVKpDHoxgvhvvHJh8t2DEz44WE6O8T1shwvCbxfjDjtHjy6jMDi5JNGWczT0JPwM2sbDZHiZqPrVDHCmJQcineTvwSybGCmEPjKfu56I1lrJGSXGFGjCJGVw3XgCvBa8uI83O1IjmbxT+63JwjXmc9yVUFPmURBj2PPvqofPHiRa/OeeKJJ+T77ruvXPXd7MBHjOrMkUV3A3J1qD0FWOPjSZOwbJmxRwtH7PX3h/zKK4o3ifZYo2iszz6rPDC1CxWgT2wqSWoPKLNYJp60AqKZIz2d2l65sqLW53q0+cnEMtu3Nzcx8bG+vp7NhIsXKxoQ1g5kZZFWgDVJWs2aWZu0/RTNW1y/Nhq11o147VoyfQUGegZWnvI8paereSLatCHiuNWurbi3m2kcAMUTzBOHTJtrTetVJ55fWKgQx7XtEnld4j3gLrZQeLiiKVq8mDRQRjnIjDz93GmUjDRDIsjz8YGckkJliFwybdnuNIXueHCsXdXOi38lmhcjT8Jq1ajd3pjA9VyoOPnIkZNy1fBwOcS5yBaA4uPoSMRXMYs5a0IyQbwkM0Cm1ZhEa57FRl5be/YclNvHqIMbXg2Xdm38I968jZZd1nXWk1wXwOfw4cNy165d5SFDhsiHDx+WRXd1lg8//FBeuXKlS1M0f/58uUGDBvL7779frjpvVuBj9FbBZq5p/AAULtxs6B9IRg8pflhyDB0t4Y/f2MQsxTk59AAODCQQoFWTi/mQzMi87hZ5owCEZmRd8SGblkaLHWs0eIuKonY1aGCcWZzL9GRiErUo2vg22mNZK1SpEuTRo+m7GQ8pOlqvFalSxb0mjjczntG2beqxMfKcM2u7p9QUPB9anohZed64y7/2GuQ77jDus5gDyijXmthvMUxDUJD7evla53lv2FC5xleudB97Z9w492VnZChaG7N7zswU/K9/ESmYE4MazbHNBtnH4B430x7ZbJArGGjMGNSY9YET+IrnsdnRE9gCIPtoSPd+EuS2rVqrtNVmzwGxnH/K20l8sTTSzEQ3bSZv27bNtV5oNSauDO8aIKHVoMTd1VH208yHn12JGH25++LuGG/aawEfQT744ANTDhDLhx9+KHfv3l1u1qyZ3KJFC/mBBx6QV69eXe46b1bg065trBwmSaq3iDBArgrIFfgBKFy4rhvQC+6Iu2ix3gACo4XB06LAb3SeTBx9+iixQETXdaNyV67Um3X44V69OpkHzLQ53hC4tVoUI28nMc1Bw4ZUfqVKxhoRNs9Mm6aYCqdPpwXZkyaO3e2NoggbkcanTVO4QXl5xENy52XkbpyZ96QFQ+4AKRN9tXwVPz8FjNpsnom4ZhqjadMgP/GE0n7RHGnWrnr1FIBopE3kmE4TJijXILdZBPdm14o7UKi958y4awyQmY9lFEvL00tDVTvkelDuPaMXHNE0x9eBaCIzIoZzGUbPD+b4ZIDi42ijIruylzv3p3iYqyudzdxduiAt51JcL7QaE9cLpwZIiBqULVu2k3lb+zxwjpknoOIJzJQ19ZE7ztHlXmc9yXUBfK6G3GzAZ8+eg0qSPRNUzlsa1FFFaxuot8VAgeKDzixmiTeAYPFiVksrWgyz/FtNmqjLKEuSUjapmEWbZa6GWlXuPmK1SCIdNsz9MdrAc0beTtqFOiJCccs3K9cI4HAQSLOFClBMiu7MQzw2PHYLFhCQNWp7TAztz8sz1xyYaQfctSMnh/rjToMiZrSPi6Mx0y7G7uoWuTBMrvfULhEcV6qkv8Y5ppNZmz1dK3ydsOeVOJbBwRS4ULzf3JnNtHwgd2Zhjq0lppjxBALFLdwJRD1pWNmcGxxMmdvFMpo52z1dAD0iAGAzfSYooKGn8bzSGh9v0wVp14vyaHw8JT995ZXZxmDGIPO8EZgpa+ojI83W5Ta7WcDnEuVmAz4JnbvIgc5YEmZvEdoFpZUEubHN+L+uXfWJLDkiLr/VMU+kdWtaOL0N/icuKO3aGZNdjfgERlGF2cTBD+60NMiPP660V9t+bxc5dw9+SVLiB2nf8o0SLop5sJi/ouXacNvN6jbTBMXHm2viGEh5CtDGYEbsv5HZgqNge9IccDRqIzBklMPLSJtmFr2YI4UXFBhzXsLC9HWLyUN5DOPjlfFhUGME4MSUBeKYml0/Cxfq28wEcKPrVnvtGcVkEj0RPV27Ws0rX2fbtunnqXVrvanT0/3B7RM/Wavl6Z6SJMXczu7t0wBdNPnWUI5bvnyFHN20mewDJfhqB4MXtdBQhRN0pbayBI81Wi/MIjObaVAY+Jjdt1OmPGW4Dph5XpW3L9rNE+HbAj5XUW4m4MMXsYuoLICePYA8AeakUtFk4E5r4O4mmTZNWSjNyJ4iIOAbt1Ur+p2Xp2iSxDd6b7UeRUVqc4mYPd1I9e4JBLirn3lARok6fX316RM48BubA8y4NiL40NbtjbZLq4mLiFC4K548ajivlbj4BgQYXyuhoXrAx9wQgII5Gs2TNi2GFihVreodeNa6gvP1w0RsDhqpHV9t5vmiIoXjZZadPDTUOL2CGQHYTNNkRPplT7P585XgmuL/jSRKiBkj1OUNgBXBozvgr72HRO2UmRbWboc8xuC65bEyO6dOHbqeoiXI4c4Fnz/9oCf4hoB4iRX9KqjHTCKX9jjoeUgV7JDbxcR6ZeIp71aWdEFG64WRxsSdV5cncGJ6PMy1SOXpyz+5WcDnEuVmAj6i/TjR+VCZD8jxmgecuxvILIs1P5Q9RZS12YjIuWwZ5DZt9A95owVETBQpmhCYIG20sCxaRMeNGKHERRFBDQM5M1OXGbjg8ytUoHON+spmErOEhtrF6667FPDBbTLj2jDfh7USYt2e+E0LFyoAQIzUK8bwMQpHEBamAI7MTGNzDc+bGfCUJAoiuXu3fhy0QFprTuHrhnOLsebADFg0aEDltW5tbuLi36I2JzVV4UZpk2rGxBgDE5vN3Itp5EjKrq4Fb0aaJtZk8fwsW+bdNRESQu7RmaBwE97cx2wqmzFDuf6NuGJGwRv9/MgjqY5wz4p18rU/0fk7zEZeiO3bq+9z7X0PqEMMsHZH1PIYLdRm6R/inNrWsBC6vhYvdhLEg/QOCWZ8FXfgyNN/7sbfk8aHN63GxJ0GJS4uzjB3XgdJr80pi+dVWfpyJcGkBXwus9xMwEdE+kVO8GMDvU0BnvPcAMQDMctiDTjf2AwWBzMNzNat5J1kxFvgwHjieWLMGKMcS2JMErF9/N3PT3FJzswk93StuYbbZgasxNg9RglZ583zDkQ+8AAtsI0bl839nIGBNiaLJ/f8uDg9QBHd4MX4Skbjl5Vlnl+NNXVsbjNaoNlzR6zfLDO3n5/ew8/IC81IK+SuD9pFr3VrJaqw2TUqy5CnTlX/z9ouT3Ms1j9uHPVXzFvHbdDed6J3JJuu3NXlJ5SXBlr4dbFiQiA3kfR9dec04KlfOTnGnpYVbMbjzf00Ooe1cf4gbyeOlSMSl8WFeqMX95gZCdwdX8Ud/8Vbboy7dEEiQLhc60Ve3q86AjInPpWh1uaU1fPKXV9c41UG8rMFfK4BuZmAz5EjavvxEhDY8QfkQVCAj/iwKCw0fkP79FMi7/r704LKDy9eDHgLCjJ5K3MulgwuFizQaxI6dKAFp1IleoDym7vIVdm4UUkBccst5m+w8fH0XeReaFMAAIoXFJs5tG1q3Ji8vQACbOHhSuRm5t6IGgszECkufhwPiBd5dxweQNHWMA9IXEDM+E2sKYqPV2umOKWH3U5zZQQsOJWHp8B1a9Z4JnQzt4X7os37xnVywkuzBe3VVxVzGQMRX18lErEWnHE2b66rcWOFt7JkiTJuPJcZGerxYm0ac4o4oKSZ1qlCBaqX864FBhLAEUMAiDwu7ZiJDgD83d01IY7dbhhHLw7R/GbtlhZwideXUV3uACLPUWCgPhmpJ2CelUWfzOvhBdhsoZ7gxZgYgUlP2gt3/BdvuTFGQCQurqMcd1dHHWgqKiq6bOsFg8QczVhptTll8bwy6osq7lAZyc8W8LkG5GYDPnl5v8pxd3V0qZAZ7EigBIFa049ZckWjqLe8MHBQvTZtlLgj3r6ViTwMIwKn+F37APaUAFEsW1zECwv1ZrdWrWhx43O1JgtJgjxlinGguPBwzw953u64Q99PT5GQGViZpVnQzk316pD371fXrR1LnkMj0xyDNE+ATNw8HSNeLwCZJCtWJM4Rjx0TcDl9g2iei4lRAC7PpTg2ZmNXsSL1RwQqDIa1GjQRBJpdx9Om6a9DPk+rjZQkdc4qsSytdlHkMPGC7a5fYkyoaElZ8PIAORlK1GRxE8eqsFB/LTdsqDc9uyPPi2ZtIw5eUZExx8dIsytJkBcu/J8L+Egg0rK4UId4GBPtf568SSdNetwwArQMqDxeyxKjRjRPmYGmxG7dLtt64a02pzyeV0amtkshP1vA5yrKzQJ8RPVq00aNVapxBj4c+8Jd3iHxojaKeqvVGHizWGr/M0oLwACM3bmNNDuesq9nZyuLpNguNt8Y8VcqVKDNyHTDhGR+c+Y3Vh4DM/Inc0zEcrTaMM69ZKS5CQ9XOBj8v1HclmbNyDSpDdpXqZK6Pm8yqnN9nq4HT1qhtDSl39Wrq7VFDEp5bszMWlqXbFEj4onYGxJC2h4jAMh1ijwkm41SbkyYYKzdYbMcg6batd2b+zhLua+vuqzMTAMPOeH6iY83z+Ju5CGYLgAEXwOwwmEotNnete0V+VAhHuYfgFzHOZ7jx3t/b1etavxy1b59rHzkiMJJ0XIR40GmO/19YpdbtGiumy9vQ12w1kwEDmKS5vJEJf6nAvsdOVI2bc6lel5dLfKzBXwuUW504KO1SducIIddPkUPiRhh8cvLo7D2noCE9uHBhEhegDwthEb/GdvhlYWQORHa86ZOdV8Xk5vFRVx863UHgLzhcYhlpKfTJpJneWE1InCz2UWWlQe0UV4lERCImiKjuC0MeLSaIi13g+vzBFCjo73zVDLjRnH7Re+goCD92z4Tx82uATEYpiyrNSKeND6AYo41G7OuXfXaDwYlRl56jRurSe2ePA5tNtLAmPGQ4LxHXwKBFte9a3BOhw7q68lI+2bUFtHk5klT6gI1NvfXSCogr4F3Y3ALIDeymbdP1BiIoGEbILfS9K1yeIjqd0JCF3nhwv/R+GjGy9uXEVFrJgKU8oKXfyqVw5Ej/0wcHd4sjc91Kjc68Im7q6NOu+Pu5o2TIIdquB7ugIT24Td8uD6ztFHwOl6UtbFlvHkrE2O08MKXnU3mD6O3Yq0qngnNkqRoO0SAJhJ4vXENBmgBDQggzoo21k3r1pAffNB9OeyyL8vqOjn43sSJSgZ4rWcYp4QwGzPWSPn7qwEDbxs3erf4FRQQQNO6tWvjKRlxo0RNihiYMjRUr2nwpFkyAnCtWytzb+RZGBZGIEELHMzqMAvpEBiocJ6MQIskQfbz9XzNBDrvwRwQGTkEkJs5/3vA+RkGyEEgkMRJSXNyyCzIQMys/c9D4cp4ass9Xhwz0dlmbwBSdUlxAjACGaF28ihNBOSFHurm4HusxTDyQo1u2kx+880sleZCTGER4hzjHEBeAEpzob02jV5GRK2ZluNT1qjE/6TGh7crGUdH3DyRny3gcw3KjQx8RNs4a3f4YWj25jEWFJJeDOBm9PbepIkCOPLyyNRiFJMlNJTeLrV5pZgQaaT69vQQ5qSgRrFuGjc2js+i/Z6VRYs4v8GzeUWrofIm35aRmUKS6O2yXTvvyhGBpAj+PCWcBLwHZ3wec4O0vA6jt2F2bda2XeRLeeqXJ+8g8dw9eyitiLv+cH/FhJVTp6o1ItprKi5O0cx4A2jT0szbzCAxKoqAkNbkG+SlBqU1SINRCH2OKebgmSUHHjaM2iGaO/nebC1RXK7FJmMstiUCkJ/zYg65TWYaP0kiQLIAkEMB2Ucyvlar2yHvFxb8NV7UndC5i7xt2245oXMXlzPGs9ADIK1Ww1OE+qFePGu0ZV+KNsUMNF1Ojs/V2DyRn6/EZgGfS5QbGfi4QpkLN/1n/KAxeRhoH5RGC6+vr/6BxpwULemR82Hxlpam1hTxA050EXf3IOQHb0SEcVwTNlUYubmLn+LDLi5OaacRJ8lIYyVGX46LM04PIBJ409LMYwaJXj68kGhTgXB2eJtNP/aezDsi8ZXrCg1VE4QLCsiLSpvbys+PAINZygkmmRuB41q13C8s4lwYkWtN38Sd/RXj3PAiGxgI+f77IQ8dSpqRwEDqp1aT6A2gNWpzzZrKPLg739/MJCipzcsSIFd3goV0EFjJEP5j8MJjlJDgwUQmkTZFdW9KkEMN2iIG9zMMKBqiZBF/wLlYG2lM4iXaz1oc8VnCOb3GA/Ja4XnDL1rZULKoq+4LZ91MAI67q6Pcrq2SfVxyjpmKKCxJKs0Lm7vMXvL4JdAT4GvXNla3iJdHm2IGmi6nV9fV3P4pDZO4znoSC/iYyM0AfApAb5WJwkMjBGoPiXCo36C0ixV73yxcqOfgeFp4JQny7bebL5C8eE6eTCYLdyRSDvT23nvu6zQyVZjFLikqord30fQlaimM0i3Ex0POz/fsgaXdvImSW6GCsWu53a7wk5iHxGNlZt4xIr5ypm+73QuzhaC107ZVHE8xTxT/FuPciNpBI42PUXwgLblW5PiEhdEnu5+zFlCredOCRE+Alq8Tb+ZTa+IrLFSPkY44LSlxVThSOgA5wLmIq451fk7SjJFZEMMIiUw50dBHOA4G5GoGYClYOM4I0HBgRECds2+Gc582lx8DnunC/yHcfuE48dh05zEVDOoWY9BIgBxss8lpzrK4/DXQJyz15AbPx4VIEkWJ9gBQL1eCTXYw4fhEy5evkJcufV/Oy8u7JtaL62mzgM8lyo0MfMQbnyM1Z4HMWTZoHjSgh5xRLB/xwW+UCsCTmyhzS8wW/gUL6GFTtSotREYuwiIhlmOpuKtTNFXs2aM2y4jASsxObebhw4uuzabkoUpLIzOWp6zaDBZnzVLGzSg9BmsQtPmM+FhtNOPgYHLLttnUaUC0Y2tEfBUzfb/9trrdbOobOpTqNtL4VaqkcE5E7V5cHAXbW7hQmUOxfSKwE3974qtogYSfH7laGwUvFAGvkQlS1CIZAdqYGIoHZeRRx9fu9OlKbB4jUrcISoIClbndCMjLQDw61XhqQEiW817lEBPREuRALzzvXGYjk4U+AmQmmujhuOEgEMUu4x00x7m0UJr9oucTQCkjMp39CAd0ruhszuNnD5+njUHziXAsNN/F3/ziJhKFzcxLcR3iXNoXdwBVHJfyajKMgh66S0Fhbd6vs55EgiU3nURE1ENchzg8AiAbwAsA3pGAOaC7DQAiJOBTAP0BTHTuj5KA5GQgKws4dIg+x40DEhOB0lI6r2NHsR763LRJXX9ODn1OmwY4HPS9e3f6TEsD8vKA9euBUaOAJ54Ajh4Fpkyh/x0OOj87m45btYrqB4ChQ4HTp93X2bMnUFQE9OgB1K8PZGTQ/mbN6PuZM0BSEhAdDRw4QJ+hodTXggL65P1JSUCtWvQU/PtvKic9HcjNBSpWdN8OHx865r77qPzkZOCbb4DGjelz7Fjav2sX1enrqx7fevVozPr1o981atDnyZPAhQuAzQbMmkVj9OmnwNq1wLBhdMywYUBYmL5NdesCcXH0/cMP6ZPHqlMn+v3mm8C//03fV60CJk6k75JEY1dSAkyYAIweTfMyaxaVP2oUMHIk8MwzQGAgjb2PD813Tg71MSCAxpXHuWJFKle8pgCljSwOB+2bMgX46SflmpIkwN+frs25c4GBA4GaNYFPPqH92jmNj6fretUq4NdfaQz5etyyhc47dUqZ96QkICaGxkeSgEmTaP6Li4Hdu4Fnn1Wu1dmzlfoHDgTmzafrxmYDOgHoLwE7g9Rt8g0CakjAQAA1QZ8zATgA2ADsBlBcooyD2Tjl8v/Q/O/8zAfwGqgd7o5b5PyeBOAUgEGa4/5yfmoueeQIn1kAvgew3NmPMGd5tZyfUQCWAsgDsApAolDOIU25jwIIcpYZDyDE+b3A+RkKIBrAdwAkALVr13GdO2/BG2jRsZOq7hYdO2HhorfwzrIVyM3dgbfffh/Ll3+ESZMeBwB84qD2asflwIH9KI8kjx6OHZs2utocDeB8UZGqDzs2bcSYh4eVq3xL3MglqUVuYLmRNT5HjpBdObppM3qblch2bmYC4jen3SASIjRvyrt3m3tdGWX+1saPCQw0zyc1d66xxsWI4xEYSBwfJneKuZjEvEfu0iuIGiBPprqJE6lcu10fNM/Ma41NSZz0kreKFdW/tUHizMZ3/nzjoJHBwaSJ0GqbzCI4azN9V6xIY6Hl+7AWp1UrxYzkLgK3qGnj/wIC3GvutEluzUjQkyYpZYaGGpPV2bNN6+LurRZJez126KBPsurnZ8zlEttjpvkL9Pd8ncXZSNMgEpMlifg52mvO6Pw34F6TAxDXxtNx//73BDmqfgPXMyEEam1NKCBXgD6gYBhIe2NULwA5SvhuVneMptwZwvF7PJzLRHBPgQTNnpVXwvNKW6anPvwT/JgbYbNMXZcoNzrwOXLkpPzeex95NGEBirtqGiC/KfzWRhY2SpAZGqonMrPnFtcxbx65kvMCKZKcIyOVRVUM86/leCQmGnuQiTFubDalLWb9zcpSzvXGK4q9v7g80dRmZA7i9jRrRmYff3/iEcmyYvYCjEm0RhwnzmllFNdGBBFiH92Z7oIMkjWaAU1x8+RiLiaEjYgwbjObjDgOlAiMdQTcCsb1MWFb2w+j+TGa0z59IAf4K+Rbbb/Kmj+toq/7/zkRq7s2BVTSv3BoyzSLkWSXIM+DwvERAUkQ9AlM2bxmZn4CILePiZVffXWu3D4mVnWuDZCnQOEM8hYPtYmITV8RIA4O/25Yv4EcJkmGoKnIoFw4j8sWvssG9TBYvJSYOOV1VzfbtPF7PPXhamU7v942y9RliUcZ8/AwVHJ+d2dOqOu8Sl6WgOEScMGPTCVLlpAqPy2NzBctWgDnzqlNAe3aAQcPAlFRZF5ITwcyM8mckJoK+PmRWaVtW6ojPR2IjAS6dCFTQV4eMH068M47ZG4RTQmiuSErC3jvPSBIYy4ICiIzxM8/A+HhivnNrL87d5L5AQCOHKFPM3PV++/T00ksTzTvhYVRP/PyyPwDKOacgwfJ1HfuHPD77zQmzz2nbk+nTsDy5cDevcC775IJ5+RJ9fheuKA247RuTaasnTupnNdeU5slo6OpnOefB154AahcmY5t2pTKKykBgoPVY1hQAAwapG4bACxeTHPvbjyffhqoWhXo1o1MX5GRQH6+us0DBwIzZwJffOG83uqqx7llS3WfS0uBixeBzz/X1/fYY1RPRARdk1lZZMJKSaHv/v7u5/TDD4G2Z4FvAFS3q0276enADz8AixbRnGZnAwsXuu9/hQt0/WlNxKljaX/fvp5NwrXuBM4GKnNhNOZZWUDz5upxqnUKCHAAYwHsBFABarNSiQQEGpjXTkvq484CmA/F/PLztq1Y8f4yVKpEg8mLiAzgRef3bSDzGQAMg9pExKav6gDqgUxaEoCf9vyCEw6Hqu7mzjrDnMfxuXyrbAIQIXxXjZ/z03kbq0xdZRUz09i8BW+Uq7w776wNgNqcB+A3536zPlxK2y0xkDIqQm4audE1PsuWfahSA5u9kdps5N3AJit4OJ5NVpxokf83isvD5g326hITQXJaAIA0AUaePbfdptThyYQRGEhv6p68rQIDyQwVFqZoY4zMVTabEpxQW567CMUcZFEkJbP3mpnHmXbcwsM1b70Fxm7f2vNat6Z5ANTRtTmarqe51ZqgzBJparVLYWF67y8z7UadOsbeZ2J8IPYknDZNX19IiBKywCz0gpG5LzRU8A50vm3vh7GmRWy7x+vOn9KDaONVMZGZzzML5qntizd1Pg/Fq4pNJW20mh0PbvdvAvJrfD1otBBcJnudhUBPwGbTVhSMPUWjnWWkgzLIhwplZAByoM0m29zULXqqLQFplbQmNq7ncnlfHTlyeV2zjYLI+oEI3ZdDq3Qzbt5qfCqUAytZcgPIjh3fAgBWQ3kjlWV6U83JIXKtJJF2YMqT9JaZlkZvvYD5G27//vRGbLcTAZdl1y4q6+23SRNSty79n5ND+++4Q3mTBUgzwVqLL76gt9GBA+n3wIHU1qQk4OOPieDr6c179GgiL2/aRP1KSVH3NzWV9hcXA2fPAseO0Xk//0x9SUpSyqxalc49fpx+V6sGjBmjlHfPPUTOFs+RJKBSJWDpUvrNBFx/f9L8pKUpWhBtH4ODgXnzqG+bNtFcRUcDr75KWqFNm0gjlptL4yQed+edpFH48EMiGK9ZQ+X/+CPV/emnpG2SJKVdZmO4ZQsRr5nQzvMbH6+/flJSaJ6PHSNi7zvv0Hymp1NfN21S+goo2o39+0ljAZA28J57SEvyzTfAG29Q+StX0v+nT9N/OTlKm/r3V8ad+8Gat02b6PxXXiGytzg/TZsC999P5OvRoFUoDkBGKfAIgGLQW/4SqNseGUlzYXT/2O1A5mt07FNPkebutdfoOuzpAOwSkOI876WXgMGD1W1KTASGDKHyxDmJjDQe87FjgXgJeMIhzJ3z2tsbBGTNVa6NUaMAlJjP9XcAGjv3mZGdw0CaiiwQ8RrOT9k5VhkACmw2nJFlCN1CIoCXADQFwLf8IqGMxwBUd56TLEmQHQ7EgbQfKSDtELehang4koqKAOd+sR4JQBGAhEvQzGilTp26qFOn7mUpCzYbKoH63hGk7UkGMAZE/AYub9stUcQCPjew5OfvxcGDB1C7dh3dzdqiRStIoAfcfAew7JR+oebFuVo1+uzRQwE+ZgvX4MHAn38SkDACUrKseHABtPBKkqJq5wczAxF+1TN7QDMgY1m+nMwd2nb16qV4cDkcilmAJT6eAJYkkYeP2JbRowkQpaUBW7cC33+vb2ulSvpFa9o08kgrKiJTUeXKwC+/0P+TJlFdqanAsmW0z6yPDz9sDIhuu43qGTOGTGBm4HDXLqUch4O8qSZNUuYXUMx77uZ2yBD6jI6mulj69gU2blT3v00bGiuAPM6ys5X2bdhgfn04HECFCmQ2rVKFxp6lalU6ltuTkQHMmKGMd1YWzZPYj9atybRWty5dYwCZBzMzyUPtuefIbLZ7N22SBBQ7oFuoCwAslwA/Hz1o3r+fzhP7b7eTSU6c03r1yKswI8O54DsASXPfBUpAqR+Zefv1IxOn0ZwYjbkkAf2EOQWAd0FjOlsDqv/4gzzyzOZ6FhQT1iYooARQzC9snjEDRmkAOrZvj01ffYUMAA0B1AWZt/jymTLlKbz44nOmZdxaLxJJe35x7U/o3AUTpzyFwsK/Xc+1/fv34cCB/S5z0IED+2G3V0Bp6UXDZ9+1IPn5e5HzZY4paHzlldno2bMbwsJucZnTLbl8YnF8bkA5dqwIA/r1RmxsS/Tv/wBiYlpgQL/eOH78mOuYWrXugAPAbACjAKx3AFsBsCVZXBSZ6/Lbb7TA+PkpnAnmLPDCxb9jYtR8g+JiWtC0582bR3XNmqXnfDgccN30ZvyHwEBFWwEQl6Z5cwWcsCaAFz2Wli3prZ/d4ocOVfqtdT3mxbdHD6rXqK1//aWUnZFBGoY6dYA5cwj0SBJw4oSef7RoEWkC3PWxZ0/1fgZE+/ZRObWJLmAKnBYvpuNCQwm0SJKeC+XrS5ql6GgCJdq5bd+exioqioDhqlXK/5MmUT0xMfRZpQowdarSjlWr1O0zuj5q1yaNELu122x03uTJ1F6bDTh/Xj9+ERFKWIOwMGXMJAkYPpzc5plbNGIE7U9Lo3qnTVN4QGKZdgkIBjABtMj3B3AQwDkHaUqYD8Vtr1OHwA/zftLTlfAOPKfasAAAhYwIcAA+oAexDYDkAOqfU9o4cSLgZ9dzhKZMovPCnO0MBGBzUOiJLJDrdxYAngbttfF//+fUfGrDUzjv4zSQe3hVkJZFLHMc1AuHGS9l5sx5yPnySyR07oIX7HYUAqjIZdjtSOjcBffcc5/bMn4RQE/7mFjMW/AGoqNboEuXu12Apk6duq7f/L1Tp3jVMdeaHDx4AIA5aLz11ltRT1SZW3J5pUzEl5tIrmeOD3sgqOzuGlvx5MlPEl9BsJ8nQp+d3U9SRwCeNg1yo0Z6j64mzqB02nQKgf6Q7c5jFizQ81CMUkWInI+UFApgaBSxOTTU2KtJdCWOjyfOkLtgfpmZ6nO0bWF3YaO0FWJbAWor80c4n5knd+Vp0ygSspHbv7towUY5vIyOW7hQHxnZjDNi5onWtat5DrXWrSm/GZcfEKDOJG/mScfjMnKkcbvT02n8PKWB0IYtiIsjbzt310WAwTiIZVbQcC+03k9xcRRR3N31cKcNcnCgeViA8BAKisdl1nNyPFT3h/MzwMBbUdJwQwDI9U3ON+tnQ62Hn/O3GPE4TlNmtDguMObwSCBPJFmW5b179SkZops2k9eu3ah6Xmld4/00z6Ibie/ijYv8P7Ve3EibtxwfmyxbijQj+fvvU5dVxWizAVWqBF32crWSn78XsbEtVSpUgN6ykgA88cQzeGXGizhz4bxr/0CQZ0F94TfLAgBjnCYIVt+zVJKAFAe9Fb4AIBzAAUmtLUqUALsDWAl6q65ZkzQc+/bRmz1rJUQzDf9OSqK36CpVgN69lbd5gLzAvvnG/bksrOGoXZvaMGuWmgdz6hTQoAGZFx54wLi8IUOIE1NcbF5fRgZ5S/n5KRqgrCzyJmOtU82aynmHDtFbfb16ZBK79VbiFLFER1O7f/iB2iyahWrXpoB6/Lu4mLQXc+aoeTYnTyrzweY8QN2W1avV7cvLo7EpKiJtTloa8PrrpOkYMYL6KkkUYHDaNDLJiO1o0oS0N3y9sEYuKEjdPj7+wAHjcQEosCSb6szGT5RWrUhLZDaPSUnAWgBfgHgmZmVKUHgWfP3Mnas2bzZpogRfNKrHZoPqXvd0nQJAOkjbshDAHaC2ZoA0IHEA7gXwMYBJAIYD2AcyH30Dur/9nNvDAHqCtDM/S4B/EDBLM/a2U6RhmgKgGsj76UUAMSAPqkMgD6ZsAAFQtBGBAC5WqIALFy8iAKQl3in0IRTAcQC5uTvQtm1z1zPvu++2Y3Lao/hut3J0QucueHHGfzFl4qNYt2G9a78E8iQbJZTLz7Dc3B3XrCanLDKgX2/s2LQRM0tLXRymcXY7WnTshKXLV/wj68WNJrzOehKL43ODiZkK9U7Qw+Sl/0xDqfO7D0iNLUN5yGvPSwQtnE0l4FAgcQVE0JBxiv6XABwDFZQD4DSc9nwHPbBWQuET1KtHG/NEbDY1OVgkGwNkwti4USGnVqoE7NlDQKTEDUETIDfqNWuAJ50EbTMeTEEBRR5m12ct/6RePeD226kdWlIpm9MeewyoXp3KS0khk1nHjlQuYM6n2LsXCAlRg56gIIXcbcQf2blTWfQ5QvHtt6uP8/MD5s8nTtWmTdQm5tGIbWF36uxsAlPZ2UoZ7HLN5p3Nm5UFnSMbM8fK15eAzv79ZBL7808COh07Av/7H/FpxPZVqULHi23JzyfwwrJrlwKgzMZvwQLgkUeoX99+S6AHML8u/gTA+N2szPsBjASZuEY5zInnPj4mxGYJsFcg8xyLpwjUAAEQALgdQFcADUDAx8nnRk8Q8EkGRXNmY4gzUDjOQSEK54EAyQIH8LEBh+9tB5G1BYocEqHwb/g9g4GV69zAQEx9chomT34M85x17QWBsB+d5bVrG4uICDU4SX/pefz64/fIgkLmTd20EVMmPop3lq1wcXX+/PNPjB+fgu5QCw/XgQP7bwjgM2/BGxjz8DAkCYDPIjP/M2JxfG4w0caHWA16KPUCodxA0FulA0RgjAW9RQ1xnm9ma98tECSZ2zJnDi02FUGeGPzAPASgO5SHMkCLl8hTyMwk7QFAi8bJk6RVYd5E8+ZU9r59ShnM00lJIY+qadOcbTbhxkiS4sXEBG2zxadaNar3iy+IiyNyOE6dIqB16hSBmZISfdoCBnFcnpg6IzKSgJGWO5OaSkArOpqOFbkmPj4K8GvThoARp3dYvJi0O7fcQsDO4aDx/PFH0ta85gygsmgRcVJ4vmbNUsjN4lxs3Uogadw48tzKyiKAl5ZGWrlnnlH65etL2jFfX6WPPNbnz9PnbbcRiJszR7lennqKvLIA4nqNGAHs2KF4RKWnA2+9RfMuy+qxCAzUXz8if2v+fDVnSSTgG10XQ0D3gFGZ7I31HoC7QfeIu+vmwgV9GotTp+hlolIlZSzdtccHlK4AUGLO8LLO918miBzMzTC7TwECRAClogDoXlzloOdBtvNYhwPYAdLs5AFoBeI19Qd5sGWB4v/EgEDPOKGNDRpEYfJk8iDg9tRz1uPMoIKhIx5WtS8/fy/WbViPWaWl6hQcpaVYt2E99u/f5+LnxMa2c9vHGyWmTWhomCs9xtKl7yM3dwfeWbYCoaFhnk+25JLE0vjcYBIRUQ9xd3XE8C2bcE4wS/Gb/hsgkxRAD6pRUN7WHgW9ScqAS/U6FnSRXIT+4d+sGZV71kELCQCEScAYh7qMcQBalwLbipW3TjYfLFqkNh9ERJDL+zffEAj58UfKXyVqVho1ojL69SPzktEbt58faUHYLV0MRmj0hv/mm2Rq2rePPIAGD1byLfXtS55XzzxDZcsyaRXef5/qN/IiW7ZM7TZv5q48dSoBGzNNFKC4qYvt5v8PH6bfYg4vBotmi3XjxgQmxLb4+hJwmTmTXM9Frc9nn9H4ABQcce5cIkJr565WLTJbVajgvv6LF8l0tmgR9cNuV3J+AQSGEhNJ0yeOxenTek+8tm1pXsTxmTCBriGdi/1YIE4CWjtIi1JaCpwtVpcZHQ0c2A+0LAaGOci1GDC/boyECRuiligx0ViTaJeA+g7SLEUDeN75ySTgsaC30zMgL6qtoLxUrKmNA4GXf4vjDNLcTOW2g0BGPag9quaDXMrjAIwA3adad/Bc5xYN4ADoWZD37TaXSY7Ldo2L87NJk6aqMfFE5hW1OBER9ZDQuQtSN22ErDEDJXTsdENoe0S5rC7ylngllsbnRhS7DZU0Xjscwbgj9JFO+W3tlHNLghKdNAJADT5e8wo2eLDeOwhB+sivjUFvlCI/yOEwjt67bRvF5uE3b/ZuETUrzJ9Ztoy+uyLVCm/c589TfRy594UX1B5LHHH6kUdoXMaNI9NL9+60OOXmkuZk6FDy6kpLI02PLNPx779Pn88/b+zdFhWldptv2pTMU+z5NH06eSJxclN3ZhCbjc43+p8dP3hu8vLI+85ovkRQNspJnvD3pxhKFy7Q7+XLFaAlXjv/+Q+ByblzqV+iNofnbudOMin+8IP7+leupLngsdR6VplFio6PV5f3xRcEeozG76239JqY1qeAFQ4gVTjuXCl5fy1cSGP33XfAE08CXzjI7DQXJpGXndo6Hp+GErm8p0Ph9XiKrFxcDJQ6gB8AnACZpXydn3zvnAI9pCVQBOUkED/pBJR7LBkKUCpwfm4BMBkEWJKh9soaCyAsOBglQhmjAXQBRVzOhqIVZtkJoBnoBWgOyJMsETSWYtnsraVdyEVNtChmWpzLHSnZEktEsTQ+N5jk5+9FTk6OqQZhOcgsxQ8tfmt8F8AfzjJUHB3QQ+1OSf0G/e67ivuxUT2VQKHqt0vAJofywKtqI7fdI7L72DysobLZFHNLv34EFl58kUARL3pVq5IpaNQocv0+dIjaWqUKtSkxkRbS7Gwqb8gQNQG7SRPipcTHE8eFgyHWqAH861/EOxHj9owdS3Fm+vWjBVDLnZg6lf6rX580JJmZiibpm28IWNjtdLyYroDHsaiIAvexyDLQoQNpUzirOoOIw4ep/Y88QtonkRek1XjwYs1BCLt2pZQZX31FY1xc7D5Y5OTJpLkC3JsMAcWMpK2fTVNsknIXuHHvXiXIJUDhBySJ3LYdAP4H4BYA3aDXyHDATIBIwJNAfDMAeF2YK4eDNE+LFgEJCXR9cCqMu0EBAR0OBUSxcNygsDClvWcBNBLGRGxTWBiB6C++INBrtxPn6ZSTIyeDtC9jQCAEoBeGNwH8Alr4W4OACaBkaB8IAhxzYRwPBiCysajJiQZwsLgY4aFhOHf8GKoCKASZuao763tBkiA5HNgA5VmwD3Qf89RngTK0i2WbcVTKqsVhM5AYo8fSilhyucTS+Nxg4lIpmyxMU0EPrJegvEnVAsX/YNFydJgTIL5Bs2nClPsAYL4E/KzRCJ30BUoC6BgzjUBAAL2xFxSQWevcObXm5/RpikjMpOEvvqDFc8YMag/zj/LzafHkyL05ObSwabVUv/9O4IkJwxkZtCh26kQaKG3cntmzqc7OnclkA5CHk81GYOfVV4k3ExNDIOmbb8i89M039LtCBdKgZGURAZhNYqxR6NJFCaLo0qSBYumIGgc/PwJOOTnEJxHPmT+fIlCLGoYTJ6jdvG/ZMgKEzBFiUrHZnK5erewzmzs2KZaW6jUuzZsTKMzOpjFlk6W7SNGsRataVdGusB/3UThJ+5I+PhST4+MAfAjiqXwPoLlE17pRLKMvv6T5Fvd959SUiuqPnBwlbpDY3n1QtKlG8ZAY+E2cSOZR5sjlQNGajAPQwfn7DxAQquUsc7t6mGADcfQAcxPSQpDTAZui14KCls52OPD38WNoGhOL/dBreqNat4UD6meBVlMcBjKzcdnLl3/klqNSHi2OGKPHEksul1gan2tI3EVa9lZcKmUTTkJNqN/QKoH4A4Di6WXE84kEkOegN9CloAeou3ouAoBD/TbfujWBmEWLiEdiFr13wQI6p6iIeDdsOgEUEm1+vkL+dRfZed8+xRz0zTdqExug59MEBRGwCgoiDVJ6unnZAwYohN3z56mcn38m/gtrlbQeWaxlYAI1izaStJnWhT25EhNJKzR6NC3WR46ozxk1isxYXOazz1IaDQZ/v/5KizdzoDp2JCD14IPmc8pu5XFx+rkbN45Iz08/Tdq3EyfUWjWAtF+iac+TtxtHiq5enUBQ7drquXoawGFQPfXrG0fiHgMKyZAEBeykP6nXNInXptG4BwJ4BsRrOXRI3S9uL2tIoyXSINapo2+TGPHaRYSHJmovyDTMv+MA2EFtmAt1eoPZzrLMuDYMgPo5235Rs3/suMfw8qt1cODAfhw58hf++ON3tGzZBp06xWNAv94qDc1WkKv8WKifDy86tTadOmlskRq5VC3O5Xg+WmIJYAGfa0KOHStCcvJwrFu33rUvIaEL5s17o8wM/4iIekhI6IKUlA2QZYeyMI0FQiVgv2YxOuf8bAZgF4AnQGRGERzZAJx3fn4FYLNz/x0G5pSUsUAHCfjSWY8IGvLzlX1sfjICBXxOUhKwfbvazJSSQotchw4U9bmkhI41Wzw3blTI0VOn6tsEqE1s8+cr4Kh1awI+7tzQBw+m7ykp9Ba/aRNxRsS4L8uXEyA4e1YBAzNmEEA4fJg8noYNIw3SU0+5b2PFikTo5cjJAJnO3J3TuDHV98wzNO6TJumB1qZNFG+I02hoQQ3PTatWwIoV+rmz2wmoAgRooqNJa7dmDY0ra0AmT1bPF3u7mdX39tsEMLV9AsjlOwN0LI8BH9O3LwGf5gCGgngxPK/h4frxEq9NozF8BMRr2SABqQZk+mgJqOggTc1BB3ChWDE7sgwbpmiJADVgAhQwshMEfPj3cJCLupk5Kwpqs3WO83ci1FpbsS6RWxMWFo4np6Sp4uiI8XVEd+u4uzoCNhuSvlTY3WV1wS4rmffYsSIkjx6ua9+8BWV/PlpiCWCZuq4JSU4ejh07NqpU7Dt2bMSYMcPKVd68eW+gXr2WKjPD8VPACYeeBBkM4gA4X+bxNIhHYBPKk0EASQZpfEpArrV/OICzGnPG6VO0n3M/iSYRkc/C5qe8PPLCARRQsGmTEv6fzUxnztCC9fjjtMilp5NmxteXOC5mKTRmzCDyblKSWsMgCi9AI0cqWoaOHc3d0Nm7bM4cWtxsNnIrr1lT0RyIxO3HHiMtlsOhxJjp25dcuvv2pXPGjCFTFYtZG597jr7v3avsE13nRVm1isbghx+UXGNTptB/w4YpY9y+PQHYH36gNmrJ4rVqKXPTqxeV1b8/Abc6daiO4GA9QXnyZJrb6Ggl+ejEiWqy8Esvua9PG7yN+xwH0l76GZisdu+mOWomUcybVNA1zvMqXocsRvvE+jhrSJYDiNFc8yWngJ0OxXzTDMAZB4GybJC7eKKkTw+ROpb2a8EJNL9juO2a/xkY/QwKGCiakEoA3AM1oTkayv2fKkkuEnLy6OHYsWmj6rmwY5MSX0d0t37vw0/x3gcr/1EXbLP2jXm4fM9HSyyxIjebyD8VudkVaTlLrVXgqK7ljVI6oF9v5GxYDxnkKdIf9NaYBbVKvDnITVWrQj8LddbgsSA+xa+gh2opSG2eBTKDjQHwraYN0dG0GM2cqbwdjxhBWgsxgm9qKmluLlwgQHTxIoGQjAxaxCZP1gfVmzOHFtuUFNJCnD+vdjEODVWypwOkkfD3p+P8/dWRkMeNIz7OqlXU5l27FLPRsWMEarZtU8oSE2Ky6Skvj0xqHAV5/HgiRnftSv9zRGAObDh2LOUTy8lRJ4QFiAMUEKCPwtyuHXFxatUiQLFwodMzqFQx4/A5q1bROQEB6ojDycl0TkiIMi/Z2TQG584p5Tz5JBGVjxwhj7iSEpoX0TNPNLe5i7x99iyNq9jH4GCK3cQSFaUEcPTzI43U6dN0/WijPdtPAZ85gDZCXe4iIofBGVxTOLZHDwLQ2muzUkVgtqa+U6eAGQ5yCmDJgDrwH0Dq86dA98kQ0CJd0/nfMQAPSOQtxuInATMdpJlhLc0JABuc544DgZ7/wjiqehYUzexiALcCeBzAHhAfZ6dwrGjSBijv1ZtvvYvCwr/dRnq/lCjJlyNavadI9DdKFGet/FOR/m80ueEiN48ePRq//PILCgsLERISgtjYWEyYMAHVq1d3HfPLL7/g2Wefxffff4/w8HAMGjQII0eOvIqt9iyeyMjliVLKwcImA5gBAiqLnP+9AXrQHgU9bHdC/UAVVehtoAQa430cv4OlI8gLZb+znI4g3kE6yNQxebJ6EbLZ6O1aa+Jq357MJ5MmETDiTOqDB+sztycnEzF340aFgzFligJ8oqLIzV17zqlTZMr6+GO9h87s2URm3rVL7xH14IMEfNLSCJAxZ4iTb0ZF0b78fMX09cortDE/5euvaT+n2Zgzhz5DQ6k+bRqN4mJ1G7t2pf5wnS+/rGhDqlen/oqRmzm6shmfiSNMs0RHk/bqqaeApUvVGe/Z5fzcOWVf+/YEVDmBqzuOVWGhAnr8/KicH34gQMTebhUrEqBLSyNAV7EiAbAff1S3s5IETHQQb4fFNDkriBvDXlLxgpnKKK5SBxtw/IKx+XUC6Pp+C6Qd/Q+I77IIFO5hFSjI4DQoPGiRdxMGYKiDTG4LQd5o9zqUtsFZHpurACWKchgUt3TRnJUCipC8+ZstsINSXHwL5X7eC3U05YkA5kkSmrZuixWfUGTP7dsJ0Ztpk652lOSyxP+xxBJv5boxdcXExODVV1/FZ599hlmzZuHQoUMYN26c6//i4mIMHz4ct912Gz788ENMnDgRc+bMwbJly65iqz2LSEYWhRfx8kQp5YfFxwCCoDZtbQdxAupDyYNj9lDZZ7CvmubYOSB1/uOAKyLrCOd/u3cr5izOWi3LSiZ0gN6yf/mF+j9qFAGQv/4i4GOz0WKs9aqaM0cx93AQxenTSZMDkObA6ByHg6IKa+WPP4CHHlI0PTt3EpFW9GCz22lB/uYbfZTf33+n37GxBAZEs8vZs+T6PnYsgRzOqM7u3MePG7e1tJTAlL8/HbdoEY3luHHE2fH1Vdr/11/Ujt9+o2OnTzeOJQMooODXX+nYxYvp8+BBGsdp02i+ANJ0Pf888akqVFD368cfac7Yu8/s+v3gA+o7x+DhFA6bNlH/undXu6yPHEnXwMaN5Bn31lsU9+fOO+n/Mw4CF28KTy6zumNB1+TTzv39BDMVx1Wy2ZSH4Jcy8L0TtdQBZSd/y6HcOwdAACQJwElQfrp3AHQCAf1TQhtCg4J08XPGgcDMCJBpSkO3QxsQgbiVs24xivJ+53fRnNWsQxz+t+RdchO327HQWQ5PuTaa8gwAMXGd8b8l77rqLGt8nX9arvX2WXJ9ynVr6lq/fj2Sk5Px/fffw8fHB++88w5effVVfPXVV/B1rgoZGRlYt24dPvvsszKX/08mKR0woDd27NiImTNLBfOLHS1adMI776woc12sHgbMTVtPgh68kwyOYTVyHhT+Ae9jjU8lAOclCsDGkigRByIMQBcJ2B6kNlOMG0dAoqCAuCHffmueJPLWW8nVGzA/JjubOD/79pGGhOPCuDundm3yODJKVPrWW2qTSUYGlTdxInGFuB8svr6kOfj0UyX5p5nZpVIl4hiJ/2uTg2rbumwZEbLFHF6JiQSuvv1WyQXGpO9Tp8gcJYq3CTQTEwn0bN1KZWk9styZk+x2fYJUNhFxOU2akGkPILPinj3m5kbuf1oajXuPHpQjjPN+cX9LSoDSC0BgkNo8lTIWaHeK0jQAzjhUoJeAOSDgsBKkoSmBHoC4+gjj+yINdB/EgzSms6A2E9sCg/D5hq+R2K0TjjLjGwSaWGM01tmevwHcVrsO9h/Y76rvGCg+jmDdRYtmzfFS+n/xww80iO3atXdpOo4fP4YxDw9zkX/N2r18+UeGnlfukmW+s6zszx+Wy2WuuVLtu5bFMnWVT7w1dV03Gh9Rjh8/jpUrV6J58+bw8fEBAOzcuROtWrVygR4AuOuuu3DgwAGcOHGizHXYbJd/Myt3/vw30KJFJxVhskWLTpg//40y13H8eBEmpz3qmljxhZ+TFtYGPbwngS4A7ZvpWJDa/RthXwrowf0i6K21rkQLjqgFyA0CBjkr7uvQx3E5flyJlTNvHh0nRhxevVpJ9VBSos+5JB4DABs2UHn9nK+0bdooGg4zLcCBA+baIBF8AEq58+ZRcLuAAPX/DRsCd91FfBs2cZlpWJhYLf7viVBbUKDkJ1u8mPr/3/9SgL3Zs9V9mDVLAT1MoDaKJcOk74rOrJZ3301anXHjKEP8nDlqsjADSbN+1ahBZbGZTYy1xIEKuSwO2jh0KGnHxOPr1FFyr7kIxT0VbaE2UvSsWWQyu+gATmqus5qnCIC7xhMEbjhWTRyIo1MBBFaiYSxmmlDnZYkvQKCHNZ0DQcDqePEplJZexE97DmL58o9wZ8074AO695o623AWwO8A7urcBWvWbkBC5y4YC7rXikHanmBnG9u1jcWadTlo3rwFkpKGIClpCCIi6rru+bCwMCxdTiTk5k2jkSpJhtGUO3eON37+vGYcX2f+a2V//nj7zCvLdiXbdy1vl2PsbsbNK5GvI5kxY4bcrFkzOTIyUu7bt69cVFTk+m/o0KHyU089pTp+7969cmRkpLxv375/uqnlkry8PDk7O1vOy8srdxmJ3brJfoAcRHQAOUtJHSRnO2O/hTv3FwDyAkD2cx7Lmy8g2zT7JOdnIiBv5bKzIMuysi1ZQvvTnXVUB+RgQE4D5Lednz42yCEhdGx8PH2PjtbUJUFesIDKjIuDHBAAOSJCfYzdrhwr7u/UCbKfn1JHQQF9hodDrlOHjikoULe7oID2p6UZ9ycuDnLXrlRGVhYdn5UFOTRUX7/ZmFSsaPx/dLS+rSEhSrk2m/q87Gz3fQAgT59O5xuNLY+bOHbaPkRHQy4qonL37HHfL3GLi4O8bBnk9HT6nZenPz7MBjnc2d+VKyEHBurrDg6mNmVlee5vWhp9z8iA7O8PWbJBDgHkJc7rewkghwFyM2f5zwHyNECeyG3W3A9ZgOxjcO/IzrIAyPUAuaHze4HmmALn/uzsbFmWZXnPnj2usvKc92CeUBbf60VFRXLX+HjdPdc1Pl71nPMkRUVFcmK3bqpyErt186qMy/H8uZJyrbfPkutHriq5OSMjAws5P4CJZGdnI8L5ajx8+HA88MAD+OOPPzBnzhxMmjQJCxYsgM1rmOe9FBZeflNX5cpBbssNC7sFrVvfAoBMbWWV/Py9yHamI18E4h+kAi5C5AYoWdlZFT4KgD/oLep5kKZHJC/XBL05DgV5mMQB2Oj8zzQeDhQCpqh2HwAgQgYeOak2k3DEYS15+YEHyJx05gwFvtPG87lwgc7Xei1dvGicYmD0aPJCMovLM38+cT9Ec42vL2mS0tPJ9GVEFM7JIY3KQw8ZJ0ytXp1c2idP1ieq3L9fn3xTkugYHx/qo0i2Zq2Uu6SZeXmkwWrZUjHBAVTenDnEq+ExrFCBxks0m6WmEtF81Spy6Y+PN08Eq01UungxeZ6lpamDR/K1cUwG6jjnX4yeLM7f6dNEGDeK+6Pt78iRSsgAJmyzZsc1niDzkgTyuhL3a6/RgSCNSzL0ZOJxznNmAqgC4uSIBGZA4Z6Eh9+Cv/8+hR07yDTVEXQvsenYqXDD9u27ERZ2C4AKeGfZR8jP34fNm4kJ365de0RE1EVpaVmeBxWwOOs95OcrQQK9LeNSnz9a8eaZVxa53O27luVyj93NIjxunuSqAp9hw4ahd+/ebo+pKdgfwsPDER4ejtq1ayMiIgJxcXHYuXMnmjdvjipVquBvDgvrFP5dpUqVMreNX+Eut1ypcgHggBAIpiPIJKXNpcP/icIq/Bag/EBpUDxi2Oy1CIpnmJi01GgxegTEJcoBPezzAOSDFovlEiALZojSUnPPoz59yJTlLtqyGRgB6L+GDclrqF49WmCNcliNG0ccFK0HEUDHs8ltwgQll1VYmBB59zTV/ddfxAcSy2Cvri+/VCctFct3OAhgjBtHbeMcZT4+lJfs7rvVHkhmebj8/AgwvPceHcd5wjZuJOL4m2+WbQw5V1bfvlSGtt3z5xufx6bIuoKzDV8bkqQE0XQ3r/36kbu5GPdHC7zi4xVgBSjz4QCB+WRQ/J1DoCCAFaEP23AK+vshERSuIQT6HFdFUCI0J0KdJT0H6txTsqwm5xoBpNq166ieB9rgfuV9VojlXO2F80o+8250scbuyshV5fiEh4cjIiLC7SZydkRxOFmT551uItHR0fj2229xgdNMA9i8eTNq166NkJCQK9+Za0D4IQvQg9bsfjHzkKgrfGePmDuhD3p4HM78SMn6gGySBCyQFI+xOABREi0SMU7Csyf+CGPdnBwli7iZdqlqVeP9rVtT/JnCQuKgML9Flo25R6GhtBDb7XR8cLBxPqfcXCVzuCvyrnOdatlSiXNz//2UVPPwYSJUc9qNxERqY2AgAY6DB6ncv/9WkqOyxqekhMDW5MkEuBiAsSZIm4fr/HkCiq1akft7aip5ofn5lW8MOVfWlCkUk4j5NsOH01h1766cw1omgCJE+/npPeAC7c6UEekU58hdm156gUDr229TcMczJer+njqlcLBYRK1XMsiLqSMouec5KJGPRT6OA5S4V1WO8/M4iM+z2Pl5EGru2z2AKsM5c0/EKMau5Jx2u1dZzC2xxJIrL9cFuXnXrl3IysrCzz//jN9//x1btmzB+PHjUatWLTRv3hwA0KtXL/j4+OCJJ57A3r17kZ2djbfeegtDRd/pG1z4IWsHPfg7gdJLiKDFD3oycyrIQ+Ub0Btse5Ar+1oQIVO7YMwHaW1KDCLYhslAiAYshISQx474hl+zJiXjBCilA0ApD3r0oHg6LD160KcZAfjoUeP98+ZRnWL76tVTNASBgQS8cnLIm+uHHwhwlJYS8HE49O0dOJAC3mVnE2hhonByMmllxHZ/+imZsb7/nrQ8otboyy8pDk+vXlRvmzYEbnbuJOBlBrZ4oWdQxBIQQG3u04d+DxtGWhfuP0ejLusYDhmiTi7KMXdY87NpkzJn9esr9Zw9q+TO4rE/eRIoLiUQmJZGMY4AMj1yvjCx7pKziiZq3jyg6UVyY68IgDnmEydqImo7U0cASqRlgLSNgLmm82mo74cUAJ0B3AXSfg5xfp4EpW5hoDMaQIfOXbB27Ua3UYzLk5zTEkssuXJyXbiz79mzB//5z3+wZ88elJSUoGrVqujQoQPGjBljGsAwLCwMgwYNwihWGZRR/kl39sslx44VYdCAB7Ft+zbUAcX+yIA64uwCUJRl0YVXEn77gR7uYhMLoESgBWiBqAUyhZUK+/1Ab9buXJ8LCmihTkpSR2OOjqYF/4cfiG9SowYBiehoigckRiXmSMbFxfoIx2PH0sL7+uu0b9ky8hZq2ZKO/fpr0o54ivablkZgxczVHCBTS79+FHTxzBk134Vd5AF13q5Nm4BHHiGgIgIOMXqzWdvYXX/bNgKTW7YQ2Fi0iIDT0aP6CM7LlpEG5uxZ/Rgyh6m0VB3BWOuKzsENxbnatYu0YrVr0xgZhQcICVGDGkkizZr22Nq1gU8+UVzRz5w1HkuHg8xNB0HJdI9J5NXlapfTjFYMchvnIcyD+8jHPgAuCPv9QCBpLUg7ygDplVdmo1279gBQriSb5U3Oeb3KP/HMu1HFGrvyCY+bx+OuB+BzNeR6BD739eqGXd9swRmogY0YAZZBC0sGSGW/D2Tq+ga0GOSAgqmlwXjBGAKKQyJyJkaBVP/uwEJWFmVmz831HEvnlltowZ4xgxZwkaibmEgao7Q0dcyZ9u1psf3pJ2VffDzF22nTxjtAAxCnpVMncxCydi2Zk/LyyESVkaGkrRCP4+9iGc2bE6FbS8pmoLRzJ3GOtG0LDKTjOXoz1xEXR+Bw9mwiZw8erAYqtWqRKe3cOXXKCUmidq9bp08JkplJwRMfesg47QWgpBkxG6PAQNIQffIJAa4ZMzwDTuYOie8rrjEH0BUKYIkERScWbycJQGUQkJkNhXszAqQtmiPsGwvi+LwFIipr74E84Xu7trH4aOUaWOK9WIt3+cUau/KJt8DnujB1WeJejh0rwr29umHzN1tQCwRImJuQAcq27qSluPgLw52ffaFEeK0H5e32NChMfxT0prFkELDSmsCmOs81M6nExRFfQ0w+ahZLJy+PyMJz59IiuH69OqHpq69SKgkGPWlpFHyvUiWKBC3K0aNKAlBPpjOORPzbb8YJSplU27KlYuLh9Bqc24v7yiLyWPLyCJRoTWjcf39/JSaQtm1nzpBpyMWpSiVzFueZatOGANN33ymmNYBAXkwMgR7ODp6TQxGZn3uOEo7m5NDYBgURn2fkSOJJXbxo3NYTJzzHLho9mvp69qxiBjQ7lkXLHRKP4diMfEoe9N4ZG0C5qlpDzb05D8Xbi/edAl3HHWF8D7wGAkfVK1fG4iwl2rElllhyfYsFfK4jyc/fi/Xr12L//n2q/cmjh+P7bZQE6mcoAQqHgMBLLVAU2AwoYfOd67sp0bkKgB7O8rQLRmXnMaWgN26W/wO9sY/Vkp5TCSz0769wU8wWwE8/5b7qj6tXj8oCiG/CgCAiAnjtNQJIX35JJhZtpnDOSu4O0ERHU7oH/v+ee2ifEamWEsiq68nP1xOfATXIMuqX2H8GCxkZ6vGLiiLgMnq0mpS9dSudl55OnmE9ehD4Yj5QvXoEtpjqxsDs0CFgxQolkGBcHNXZqBHV6U1bIyP1/RP73quXMleegjUCigeV2TFsHOJTJoI0Oz4gjQxA4DwMpB3KgwLw773vfry7/CNXVvHnn39JlVNLVZ/zMwNA45hY/Lx37xXNPm6JJZb8s2IBn+tAjh0rwoABvREb2xL9+z+AmJgWGDCgN44fP+ZKSPqMU/UhQSEyi58SCAzFOPdFggjNRkTnRJD2Jte57yBoEQh0tocvmiHOcnqAwuzngN7YtZF0T5wgM9Xo0YqpxWxxmz+fFl7Ou2V23I8/EiDw8SES8alTBBjOndNHNZ4zh45hIrIZoHnrLSo7K4s0JKNHK+Y1SSJNSIUKFDPGSGslEp/HjaM6uE4GWezd5QkspKUpbYuNVVzEGfjl5BAgEUnaIhGay2vQgNJ6JCcT+MzKIo+r5GQymU2cSF5aFSuSmnjsWEUr5AmsSJIT6I7VkIzHKak4ADJ3RUbSeCQbgGI/PypnCQC7pD9mrJO0zN6FDN7HOttTv2FjVc4qvp6/AbBCkpDQuQtee+1NdOoUjzp16qJLl7vRpUtXAMQZSoU+cnnD+lHIzd2Bj1auQViYBXosseRGEovjYyLXEseHc3nNmlUqBIujXF7Dhz+C/v0fQAGAPlBnZ2ZhTkRfAA9BiUNiRHT2cR73tkk5RtyeVJA26FcAJwC0BHnVPANnRmgQaCoGxQr6SiKtjJirKTWVkm8eP67kdNISdbXEW85KrhUz/s68eaQZEvkvNpsSJ0PLP+FcXSNGEFn6+eeBKlWInCzL7nlCiYnEK2ralAAEa08AJSO7SCjmXFX9+yucl+bNqb2tWik8lzVrKHnotGm0ifymxEQCdaNHk8nv/Hk1p+euu4hvs3w59cFmU58fEEDAjsf73XeBJ54gEGqWc41d+EX+VXw8xf6ZNElNXOas82KdkgTUlYE8Wb1PPMYuaXLCga7FVaDrOjd3B+rUqavLWQUACZ27YN6CNww1NgP69ca3ORtwp8OBncL+quHh+Dr3O4SGhllci0sQa+zKL9bYlU8scvMlyrUCfDjhqBkpdPnyFejbtzeyAHwJAjNmXliiRIFyBd0BwIkzUAPAb8Ix8QDeB5kOANLodII5sIoBaYkCQWTRL6D2GAMoLtBB0OKoJStnZZG24quvgIcfpoX2ySfVQKVZM6BtW1pIjx5VCNLLlilxgczGisnHDGj8/cl9/NQp0kb8+qs+caaPjxpcie1OTyfTkBggUSQ+8++cHEq6um8fmdJ27aJs42K/RLDg60sga/JkAhiDBlFMothY0tL06EF1aEnHqanUjy++UEDjk08C1arRWD33HJG/MzOpfq23GWvQ/vpLDT60QIR/85ytWqUP/AgA1e3AXwLwai8BJxw0//1A2kIJlP8t2nm9+IO4NTUBfArgNUlC67jOOPjrQfy5Px9TnedysECjRJXeek8ZAaV2bWPxvyXvuoCStQCVX6yxK79YY1c+sYDPJcq1AnzWr19LGh0T7cLSpe8jc+4s5H61Ceec/5kBkwyQNmcTyMR1FoAviCB63Pn9nHCe6NYLkKksA+bAaoLz/3TnsTZQ9Ns5ULRDo0Gan/R06sOsWYrZJi+PyMJmmhftAsyLPFsimjenTOb+/uaZv8Wxi4qifa1aEYn39tvVmdCrVyfTmTYr+PHjBDqKi5VjIyIoWGG9eqThePddin1z5gywZInSn2PHCOQw6BE1TgC1ecUK6pPo8VShAoGmNm2I/Ftc7NlDysgNfedOJdu82fktWhAZXExjkTwawGnghEzmtWeeIR4Rj+/x40pE7kqgmDv9ACxzfm8MJQ3EaajDICSCPAtHQx9+ga/dtWs3YsaLz3mtzSmLuANK1gJUfrHGrvxijV35xPLqukHEFfLehGdRu3YdXOC03DDPth4NWlDYA2sOCOScAxFEbaC3bZEb5A9gPQiwZIHexAFzMuhC0CLGAXVlZz2i51c6SMuSlkbgBCAgAijmoNJSSpfA0q+fcRTlggKFTAwQR+f8eeIUifydWrUUwq44dj//TGVPmEBA4uef6cbx96f2/fWXcVZwm436ILbl778J5OzeDdxxB4GLkhICNcOHAwsWUD9XraJz4uKIDzRjhrpdGzcqQI5JxPffTxyctDTyjmLwZ0Y6rlePxkscJ/6UJGDWTPfn79hhwJOaT6AHIA2XyEGqVYvaJANoCzJ1poHAcBooxEEuCMAUAwgNDUUgCCjngDKRTwZdu33VTXJ5WBUW/o13lq1wkZPNggWWR5j3czPE1rHEEkuucq4uSzxLREQ9JCR0QWrqRshyqaDFsCMhoRNkWUZu7maEgHJpnQQBHdHyIIFilYjCCwpHol0EinvCCoCBoIUsSTg2DsBR6JM3jnXW0R4K94JFs7biPYk0BmyCeeklJYbN4sV0DEcAZlPKu++6z+v0+edkWtq1i/ZVqgQMGEAA4H//I+3FqlVqPlF8PEU4Tk6mtjgcpFmqWZO4QOwOzuAgL4+AGfNizNoSGEixbbQB+MaMUQAL9yssjHhNbKLbtk2pr6iI+DoA8MEHznmUCBSmpJD2xyxXWkoK9ZHJ19o21jtH5k13iU7NQJFko/FMT6f5O3IEeOF5wE+iYIK5wjkBFSui57190K7dXSh1ko3atWuP8PDKGDl8MDK+zIEzEoDLJLoJ5jmtAH0uK0ssscSSsopl6jKRa8XUBQAHDx5Ajx6dcfRokWtf1arhyM7eiC+/3Ijx41Nd5q2toLfuDAANQdGVu8Hc/AUA0wFMgnfcoMog9/bzwj4fkAv9OtBClQICYA5NvRxBt0EDdawdu50WZSPOSa1axI0pLnZPJo6OJs+t4mJ1EEStaQlQAw827/j4qEm8HHAvM5NMV2KAP8C8LRMmuA9mmJFBXmEAgZv27dVjER1N7R882DzIIRO7L1zQR1yuWJGSkbJXlVEbswGkSMDfQXrScmSk4qZvZAazAbAZcH7gAFq1ao1Hksfhl19+QsuWbdCpUzzcyf796kzkT05Jw45NGzGztFSV9NOIx/NPiWVyKL9YY1d+scaufOKtqcvS+FwH8vik8SgtOoEMAFVBWpcXik5gysRHkdjrXgCKZmUaiJvzHwCzQFqZaOi1NCkgcmkeFHun2du2lhvUEJTYURvplkGSLwj0xIM8vmQAzQD0AoEc7UKfn08LupkW5ZZbCNCYaSiGD1fcvR0OtbYiLIyACwMk5hOxsCajb1+KKK3NrD5uHAGirCw1idqsLb16EbjZt08BPqIJ6oUXqNxmzai848fVY7F/P306HGrwoc2m/vzzdJOL7Y2KInNdkRMfm7XxRwCHHcCZU+rz2Sts61ZKQKvNhu7na8c7Sz/Cr78exNGjR7B//3788cdvaNiwEYYOHeHSxPTocQ+8Ea32Zt6CNzDm4WFIEnk8Ha2cVpZYYsnlFQv4XOPCcXq0GpvqpaVI2rAe/QeRXWgTKFptNsiz62OozV12zW8/kHeNHcDzAJqATFZaE1YTKGRT0fwFUKRbgOKrAJQ8UgJwO4BfQFyfi87jbQAqOM1cWq1OtWoEfMzMKydOKPFweDFetQr497/p/0WL6FNyIjh3JhzmE7GsWkXnvf22sq9ZM0oi+vTTwObNVD6XN2ECHZusAQZGsWu09aemEmBJSlJzlsSxqFNH0U6ZjUfDhsTBEYnPbdqQSZC9wLTjxeBFkoA0B10rewFcDCT39169qO2cwf6EBhS1aNEc7777EUJDw9ChQxyuhISGhuGdZStuupxWllhiyT8rFvC5xuXgwQMAzDNLv/ryDFQAaWJGOvd1B+XN2gvSygQ4j18IAiWilgYg09X3INCi5QYJeEBV7z5QLCBA0Qy9DjKb7QQBnVQJOOc0icgALrjhxgDmgKVxY2D7dkp9wMdKEiXJXLSIEpquWkXBD0tKCEAYLfiAHgz8+99UjtZza+BA4PRpOkcLQN56SwmAyBIfT9qSsWPJbPbxx4rXE9efkkJamnvuIS2Uu7FwNx5169KYAKTtevdd9f8AaYyKNeDFx2miCgZp4mo7gJ4lpEHitBt2CahSpSpeeCEdISGhKC29+I8DEIvHY4klllxJsTg+JnKtcHxccXxgzNGRQAEFawOuIGxmx+ZBASvM3+kFYCUIvJwGIeGLAIpA+b3MykqHEk+Fkz0y7aMpgF+dDWPtzuzZ7pOD2mxkltIG9Tt+nHg2o0aRdqRqVQrgBxjzbySJyv/1V2VfaKhiUtK6xAPmfBZPbt9G5RnFv4mOJmA1dqyaa+SOs2SzUZDH2bON3fIzMwnEiXX7+ZHm58svaZ4PO+eoEMTNeg/EvbJBHVupPmjOQkDgdfnyjzzyc24WsbgW5Rdr7Mov1tiVTyx39htEIiLq6ULxZ4FInw3qN3AlC/0ORGz2g7k7ez2hXFYO9HZ+HgJpiro6P2UYu8anAAiH4q6cBAI9MaAIzXDWd8KhTm45YgT9Z+aWL8tq92jRTdpmo2OaNiVgxL+XL9fnywoKUpuzJIlMOQD9J4ISFjOTUqNGxnm9xo2jY/77X8UbrFUrAipvvaVuS8OGlDT0hReU/Rs3uh8Lm42iMp85ox+Pl16iMlhTJfa9YkUF4A0CEdBfB7DC+XkWlIrkTQARoHAF6QA+B8XReQ8UtdgCPZZYYsmNLJap6zoQM9Jnpy5d8eSTk11msDSQh5UNen7PHhBJWdTSSACGOf83Ij/HgGL8aM1fDuFzKsh0lgolzo8Tl6gARWQkmYOMeCfVqxPPh92kHQ7yilq2jAi7TNYdPJgW+WnTiH/zxRfmBOCcHAIqyckEUHx9KUjhyJGU6b2oiNIxuCMqHz2qRJPWBgZcsYJAF0CgZ8IE87asXUtaKfH/xEQyfWnHompVqrdVK0qTkZREmpwLF0hb1LSp0g6ReyTWZ7MBz8hEMg8A8IhzXh8HpRERr4s05wYQ6MlesxGWWGKJJTeyWMDnOhAz0md+/l48+eRkF7E5B0ADUNqJSSCNzFwAPwE4A1rgJoEASzQots9uEOjxhZ783AeUssIGWkCnQvHuSgHl5RoA0iQx6TkKimZJBBR5eaT92LhRDSJE05SPD6VsEM03e/bQPpuNFn4GD598Anz7rbm2Ji+PtEwib0aSgIUL6TuXs2GDOSeIPbAyMwmEPfUUBUjkuEBspuKI0GZtYYAk/p+VBTzwgHos4uIoV9fo0WoeT716VPfnnxPYqegHnDlrXl+wTDnV3rLZ4BMWhoyiIle8nHZtY5HY6z74+/ujXbv2KCgowPbtW71yP7fEEkssuRHEAj7XkWhJnxER9dA+ph2SczdjEEgLw57i0wFUB0VmzoKSMiIZRHD+znlcEyigZa1zywABoYkgc4gMIBPGwQ1ZmPT8MyifF3sVnToFvPeeOi+Xjw8t7g88oGhlKlUiU9HFi8axa6pVo5QQDDbmzSM+i5m2ZuRI0sq89JLyn8NBXlP79yugYfZsoF07NQCx2+lYNjGx1KgB/PYbJd5kzyxJIlI1YN4WTm0h/h8WBgwdSuMyfLiizWLvMM79BdB4FBTQOALA2XPu6zsBCmWQ0Cke8xa8gaKiQhQVHUZ4+C060nCdOnUtwGOJJZbcVGKRm03kapCb8/P34uDBA2XyounZvQt2bd+GC9BnTU8GkZ6/E453R3TOBuVUqgUCPCUgLVE6zIMbZoM4QWJAxJEjR2PhwkzES8BG6AMTpqQoCTcBNVlYSyQ2IvGKCU23bFHn5UpJoQCJY8cqARB37qTcUkFBlKjzxAmlnh49SCPz+OOKmem55wj8lJZSVGcObMh5vAoKqL27dxOwWraMNFlGmeSLi6kcs0zzNps6lk9oKI3Rrl3qTPQA0FoCJjuALQBekYDgIGC2KgChHVFRbTB27GOqa8giSpZfrLErv1hjV36xxq58YgUwvI7k2LEiJCcPx7p1AocnoQvmzTNPwHjsWBEeGtwfW7dvwwMgk9RcGGtl9kIBOe7c0esK3/uD0lj0AAEfs+CGAXCSrUEBC78A8P/t3Xd4lFXax/FvJiTUkELRRVoIEEAgAVFBkP5aUFR0bYsoRZAmrFJkXV1EUUARQYpipAhZBCwIalwUpKwUsYBYQCCEhYhSEpAACiEz7x9napKhDJkZkvl9rivXJM88Mzk5ycq959znvitVqgzAlVbztbdj2zt3mpUNxxYNFNy+eeedwgOnv/7VFB1cubLg1tnGjSanp1s3mG2vfTdmjHlMTjYBy5AhsH+/yb0ZMcIcMXcUHLzsMtd7OpqjRkWZ/KMRI0ygs2aNK3jq189su913X8GVo7w8U7uoZ09zT/5coc8/N32+du2CH3807+/I47nMAiesJggdDdxrNfOegmkIeizfcfXOnduf9W9GRES04uNVIFd8/va3bnz77WpefTXPrZhdOM2bt2fBgsJL9d99562s/2Kts8GojXOvykDhx9GHAM2AXvbPm2IqQLe3378A04NpCp7FDd2PsNe3P/emfSzuvLZOSDOdxr2t+Hjr1u5+f0QExMWZlZFnn4UbbjDbRvm7ks+b5wp4jhwxJ6LcV1PAtZJ0/LjriP38+WZlyX2FaO3as7fQaNrUjPuddwpv8eAoGeDt9ZGYyts3YnKofsLz+Hm769vxz6fHkJV1mPDwUuestaP/9+g7zZ3vNHe+09z5Ris+xUR6+k5WrFhZyImgPHr0WMnu3bsK/IOWnr6T/36x1lm/JwOT1+FIck7HVaQQTIuCxrgCllg8T/OEYVZmPsfkCa0B/m7//FFgHOYotHtOTxfgcUxV5+8wK0g73J6/HhN47cF7Lkr58iagGDzYnPgqU8aVaFyjhqt7u7ckXjCnnQ4c8AxMHMe73SsijxplttYcq00nTxbeG+yBB0yCMZh7HUfPHWNITYU77jD3e/u5Jk40223vvAPVMJWSj2Nyro66zbu315/B8/dzdYuruf2OuyhXrjzXXddaxf1ERC6CAp8gc1Zm9vKPe0bG7gL/0K1Y8SlW4CnMP46pwFygDyaZ2aE0Jnhx/0fUEcxMx/wDC2aFJgJ4GuiJKz+oAtAK6O/2nnWARZiieAOA/ZgTYnsxCbVtMStMg+3vf7bWCc6O3xZT5fjuu8321UMPea6QeAsQKlY0AdKPP5r527Gj4LHx/Ftrju+Zm+t9C27dOhOIOY7Lu48hNtZ8/0aNvB/N/7//c71uAZ5Vt/fZfxfe5iXcAnlWaJjYgO49etG58/8p0BERKUIKfIKsdu14wPs/7vHxdQq85s2U1wGoav+6OqbSchlMXo4juXkwZgtqL6Zy72+YY+1TKZgI/ShmO+tpTC7Pfsyprr8DkzErOs8CP2CKHB51G8/3mK0zx/DfxuT+TAeaWuHB/M0wLTDGapqt/og5Yj9imAlMjh/3bCFx223e+2Ldf7/Z1nLMX1yc+dxbELlrF2Rlua57u69ePROAff65KzE5/xh+/RVOnfL8uaKj4b33XKtYFgvsy1cl2pEbZbWCxVKRHj2OOZ+zWCCxXgOmTH2d5OTmiIhI0VPgE2QJCfXo3LkTQ4asxmbL8zih07lz+0K3ufbuNf0Y9mC2qdrbn3NvL+Ge3DzG/uH4N9iG2SLrgtn2cr93JTAJs2oDcIP9vlTMapBjJSj/EflxwGPAcsw/7hPdxrLZCg9jgrI1QFu3YKA6JvA5dtzVL8p9xebzz83qS/4u4qmpJmfHZjM5PI7tLDhLV/IfXV3NbTbv9917r6kdZLGYwMdqNflAhXUy798fagNVgK9+hzZtzPMWe4XH/IUhh2BW4q7v0IkFi5awevXnfPbZf6hcuQq3395NqzsiIn6m5GYvApncfPToEQYO7H1ep7omTXqR8ePHEoapvHvG7Tlvyc1JmCDJfYVnCKYy88f57o3BbIe9iudqUC3Mqs9xvPfvusYCm9yThS2QajXB1RpcydLur21mgQx7rk1entnm8pb0e9ddMG6c6/TViBEmWFq2zBxH/+EH78fGHYnMjqKAO3eanCJv91ks5nc2YIDZghs61KwY5e9kfjwH3rKan2mnfY5+xLW1eE2Lq9n09VfOn8UCXN+mLSmz5wfs9JUSJX2nufOd5s53mjvfnG9yswIfL4JRxyd/ZWZ33377NcMfH8KPP/3g7KPl2K6qTuFBhXttnXM1Lj2fe8tgkpwLC7Bq2+vKTHNPFh4ELXPgY6t5j4cwjTBfxayALMRspzlWeM51iis62jNQGTjQdFB3zwcKCzPHx3NyXNfatYMmTcxrHSwWs+rj/rvI33A02QJb3L6OCYejeZ73h1nNCtg0XKs6QzF5T58Db7/9LvHxdVi/fh1AUJKT9R9R32nufKe5853mzjc61VUM5a/MDPYaP/37sMKtT1cDTIVmR92eHZjTXI/iua0yFNOMMh3PBFtw1fPZgDn9NRRX/y1v9562P+av6bMQEzBM85IsPBGzFdYCczTb/XQYuHJt6tcvvIfVgAHmD7patYI1ewqr8XPypKmh89hjnqsz7oFNZCT8+afrvWrWNMfcHYFUY2Cv1eQuVQUOAmPzTKXrCdhXdazwIJ5BI5itwdswgY8jiNUWlojIpUGBzyVuUP8+fLNmlUdOjeOUVVNMgUFHPo6Fgg1Fs+2feytA+JD9Mfk87rUClSmYt/KM/XlvycIjgIqY7vGFceTaZGeb01a//+4KcBz5OGAqJ9evb2r3/PijCVC8ncwCsw3myBsqXdq0lrj5ZpObk5FhmoC6t8YoU8a1UnQPJtnbsWUFZj7HYU60jcXk6iwD4mJiyT32O32tVrpiVsSGhofTuW3BHC0REQkuS7AHIN59++3XrFi1kqlWK1djTlRdA/zL/vyDmH+cUzH/2M7DbLskYhKGy2CSn2MwwUoqZlsqFXPiqyHwFmZV43+Yf8ijCrnXUZUZzGpHGUyAVdP+6Fg4WbvWc/yOZGEAx9mlK4GqYa7rjhNTqakml+brr00frpYtzfOOoCcpyRQoPHDA5NqMsEckZ6vxk5ICb9hbxs+aZSos//GHKW7oCJhq1DCP06aZdhVgjvZPxlSvXgMMt88rwK32n/k4pnRAiw6d+OSzNVzdrgMTMcFgD6B52/bMmDkbERG5tGjF5xI2auRjAMwGHnC73hET0GzBMx/nasxq0ERMTZ/GmH+ErZj6O+6rQeGYhqKOFR8LZhWnA6ZRqbetm+sxx+I/wzQufd/+/hYLDHY78r1wITzzDESEwRybW32fcDjjlidz5ZWmA7t75eYFC0y+z+uvw+LF5mTXd9+Zj+RkE7h07mxaSHg7mQVmHLt2mc8dAVJ6uufX7vcChIdBGZsrqHOfrxbXtKR06Ujatu1I48aNPXKxFixactYcLRERuTQo8LlEpafvZMvW7wgDvsbz+Lgjlwf7tWzMP9Jpbq/vjjk+DvAI8CKFnzqqgqmnEw7kAv+xX4+wv+5uzGrSo5gVoS8xKz4HMA1IkzEBmPuR7/xJwq9ZoIsV3rZA+QoFqyWXKwen7QlE1au7ihAuWGCCHPcqzI8+6jpm3qWLyd1xzwcaMsRsawF8+aXrdJgjQEpI8PzawREwpdrMqtYWt7kMA15Pmcvtt99Z8BflRrk8IiKXPgU+l6AjR7IZ+EgfwAQ4xzAVgLvgWXMHTCDk6KXlHhwNwWyFgdmeAXN6qx5mJWgEZhUoCxP0lMecTHKvzTPDfg1MUu/PeK6C1MEkTpfFbPvYMEnDjm7m7vkzCcfgiBVSveTkPPywyblxdGx3D4AKu79UKfPcvfcWTHguW9ZsaTmu5y9AmJzsvZr0/faALQwT1N2BaRDapEnTs//SRESkWCg2gU///v3Zvn07WVlZREdH06pVK4YPH85ll10GQGZmJp06dSrwukWLFpGcnBzg0V6cQf37sOeHrQUCmQcwdXccaSwWzNZW/to67sFRGCZXx51jN2g3Jr9nBKb9RWGvd/geV0KYoynqblwnwcB8cvq06Yh+9dWmrs4115ggyBGEeNtievNNE3i89pr52hEAebv/009NP6wHH4QNG8wR9ptvhipVYOZMz9dYrRCRrwBh6fCC1aSPWs1Kz/2YoFFJyiIiJU+xCXxatmxJ//79qVKlCgcOHODFF19k6NChLFy40OO+uXPnUreu6x+pmJiYAI/04qSn72TFqpVeA5mvgH7261bghP1zb0fQIyl4CsuRrPw5rqAlz8vrwSRB78JshYXnu7cUJmiqBAy2n8CaPds0+3To2NH1+dlyclq3NkfKt21zBUBnawTqOLFVKRx+Ow5z5pivLRb4ixV+wdQNao2pJfQEZsvvYeCdPCgXHU2tWrXJ+OF77rdaScIEPLNwbRN2VpKyiEiJUmwCn549ezo/v+KKK+jbty+DBg0iNzeXiIgI53MxMTFUqVIlCCMsGs6mpfmuOwKR+zDbU47VoEWYFRtvR9BPYQKW/MnKHTE5Ok/Yrz1hf00qrkrLDj9jAojLMT283CtAD8IcZ4+zQNkypjbO5s2F5+Vcc03BGj1DhpjAqHdv83njxiZ/p1SpwntkDRniyiGqgVnNyrJHYi2ArsBoq+lWb8G05hhv/7lm2q+9CVSJiyNt+Wqio6MZ+EhverjVSbru2lb0evgRmjRpqpUeEZESptgEPu6OHj3Khx9+SLNmzTyCHoABAwZw6tQpateuzcMPP1zo9tf5CAs79z2+vN+53jc+3t60lMIDmd14bmsNB/5NwVWdwbiKF1qAcphtMUedmYcpvFHpX4Fe9tfXsX8/K9AXs1qS/xRZX8wpsmzAetJcnzq18Lyc4cNhzJjC+27Fxrrus1hc216LFnnen5BgVoXct/DqAFMwjVMH23/ek0DpyEi2nD6NIzvHAtSoUYtnnn2eW2+9zfmeby9eQnq660RWQkLJCnbO929PCtLc+U5z5zvNnW/Oe75sxciLL75oS0pKstWvX992zz332LKzs53PZWVl2WbPnm3bsmWL7bvvvrO99NJLtsTERNuKFSuCOOIL9/PPP9ssYIsF23yw7bU/xoLNYmIb215XtwWbDWxb3Z5zfFjANtPt6wb5ngdsqfneZ77jtRbP+8Ldvt4LtiywdXG7ZrFgi47GNmKE/Z692Gw218fWrdjCwgq+b4sW2LKzsf38M7a0NGxr1riNLdX1+h07sA0fbq6XK2feJwpsHcEWke9nKmt/nDNnjs1ms9l27NhhS0lJsaWkpNh27NgRtN+riIhcGoLaq2vixImkpKSc9Z60tDQS7GeQs7Oz+f3339m/fz/Tpk0jKiqKmTNnEuYlzBs5ciSZmZksWLDggseWlVX0vboqVYo65/vOnz+Xxx8f4szBcXD/2lsvrZGYVZlwTIXlA273uCchRwE5uHpu7cCsDOUBd1igQr42EIMGQeUcSLf33FpggY1R8PAjpujfnDlm1ebqqwvvtdWsmcnbKVfOrAY53nfAAHPtgNtAHdtY3hqV5j8q7z4vIzHbWZFxcfz08x7vkxxizvdvTwrS3PlOc+c7zZ1vHPN2LkHd6urduzfdunU76z013P71i4uLIy4ujvj4eBISEmjXrh1btmyhWbNmhb42KSmJ9evX+zS2/A0si8r5vm9vTIHAXUBdTP2czzFHx/sBvwL34tkUcyZmeysDk9uTv/ZPM/v7DsEEQmmYlgvu9X84SxuIMOynyKwQEwYvvuh62ezZZtuqSxeTh+NeyHDLFnPPrFme7ztxomkd4Z4PNGiQqQfkLanZajV/tMmYY/yOeQnDBH2O3B39x6Igf/1NhwLNne80d77T3PlHUAMfRyDjC6v9//afdlS+K8S2bduKXaJzq1atsWACFUcX8zXAQMxKzh/2+0ZgEpKtuHpyWTA1Zx7H1N8p7FTY65h8mB6YAKg8rgBpKuZ4u7cj5DZMe4rwcPM/xvwJzA88YK498IBnXo6D+/vu2OEqTlhYkNW/f76k5sFQ2gJnrKZJ62xM0DMY80d8RY2avPTyq7Rv3zH/txUREXEqFsnN3333Hd9//z1XXXUVFStWZO/evUyZMoWaNWs6V3uWLFlCREQEDRs2BOCzzz7jvffeY+zYscEc+gVLSKjH9W3asvGLtQVaJlTAHB2viqm2PBZzaqkTkII5tu0oOOjtVNguPLutz8YVID2MCXzOduS8DrAjz/uq0Pffw/33w7p1UK+eObHlWBlyf99ztY44caJgYcJwq9mO+wE8Epavb9OWlNnziYmJRURE5GyKReBTpkwZPv30U6ZOncrJkyepUqUK119/PQMHDiQyMtJ534wZM9i/fz/h4eHUqVOHV155hZtuuimII/dNyuz59O3dg7VfrHW2psjD1Mpx7xaeDGy2f3QErsW1beXtVFhdPI+qu8cd9YGOhRwhHzTQbCURBjvsA/IWsDgeHae1jh83W1oREZ5H2X/4wT5OL0GWY3k3BnNa61arGXcOZpWrQtmyDH18JF273q4j5yIict6Cmtx8KTt8uOiTmytXjjqv9z1yJJtrWzThj5wcTpGvOjImyLkX+AcmKHAcaXJIAvZgVn8cW2VDMDk+veyfNwTWUzBR+mXgiXBTS8chPN/XUDCBOTXVrNDUqAErV5rVHvfrERHmPdwTk8PDTcXladM86/ScPAmtc+Fzq9nKcqxilStdmq533MVdd92jLa0LcCF/e+JJc+c7zZ3vNHe+cczbuRSLFZ9Q0/PB+zmWk0M0JkD5Hyb/xr19RRlcuToOjgDpO/vXD+EKmCyYJODPMYFTOKbpqKPhqSNA+qfFBCNPP21OW02aZL52P+XVs6dZFdq/Hy67DA4ehLFjISbGnL5autT00HL0wAoPN1tVTz0FZcqY/J533jFJzHXrFtzS6mSDu2xmrHMxgdx3wKy5/6ZTpxuKbqJFRCTkaMXHC3+u+OzatZM9ezKIj69TYJsmPX0nrVpdBbj6aHk7vr4Gz75dhRUkjMMca78McxrsCWAMJgl6JqaK8Vf5xvr667BsGXzyiSuJ2bG6s2OHObIeEwNHj7pek/9rh+Rkk8QcEQG5ua7rpUubSs79+plj7cePm6P1M3AVIszB5C/dhTlNtnHjt9rW8oH+36PvNHe+09z5TnPnG634XIKys7O5//57WLHC1R6hc+dOzJgx25mY62hZAa46PN4SlT90u2bFBD3eGpWmYwKl/wOes99zM1DL/lgWk0O0D1i8GL75xpVn457Pk57uqqzsfqrLvZXEp5/CmTNmNadMGVN/JykJvv7a9T65ufDf/5qPKAvUxmzPdbU/Xx1TkfoIplFol86dSUioq/8IiIjIRbmgwGfevHnnfe+DDz54wYMp6Xr0+Bvffrs6X8CwmoEDe7NgwRIA/vjDHFgPx7SCAO+Jym9gtqvygDN4D5Dm2t9vEHCF/V7H+2ZgAqTumJNhAJ9/DiNGwEsv2e9zS0B2BDevvlr4qa4aNeD//s81htRU87hggdkCG2HPzrZaTQPVCCDHalZ3AEpZLDRp0pTN323hVvu1zm3bk/r22wXyjERERC7UBQU+c+fOPa/7wsLCFPjkk56+k7S05YXUrcmjR4+V7N69izp16tL/4YcohamvMx1z3Dx/Ho6jH9UJTL5OG8zWlbcAqSGmkejv9g8w22K9MUfaLRZIcUs6tljMkqHjw/2U14oV5h5vp7oOHDDBTv4mpF9+afKASlmghtUEXKftHw4NGzRk6bL/EBMTy+7dnr2zYmPNsq+IiMjFuKDA5/PPPz/3TVKojAyzheUtYMjI2M2GDes5bT/25Ni26gI8gGcS89XArZhgZzom0XkMBRuVDrW/fgSwFc9Kzr0xW2AWC0QV0qJi4kQT7FSrBr/+WrAgobdj6KdPF0xW/vxz8xFugeutpsN8f/vzNa6ozl1338d99/3NI3+nTp26yucREZEid9E5PqdPnyYzM5OaNWtSqpRShrxxdl33EjDEx9dh+vRXnderA59g6u58jAlWHFtX/8YEO6MxBQmzMDk+OXgGSE0wOTIbKNhV/Yz9PU6dpUVFRIRJWHYcQX/rLWjVCv7+d8+2FI7TW9Hh8FSeq9ZQWeAPq9nOuh141Gr6gw0GYipEsfj9D0lObn7hkykiIuIjnyOVP/74g+eee44PPvgAgOXLl1OjRg2ee+45LrvsMvr161dUYywREhLq0aXLjQwZsgKbLc8ZMAwdGk7nzu2pU6cueXnm2JMFaO/22i7AbW5fO4IdMK0sjuJq1vkwcD0wHtN8NMJ+n2OhKRu4w/5NTtoDGm+rUBERrqPoVqv5vF69wttSlA2HH/PMH9QIIBYTjI0C3gfetX8AtG7ZijnzFqrSsoiIBJzF1xe+/PLLbN++nXnz5lG6dGnn9VatWpGWlnaWV4au1NS3ad68PT16mJNOPXpA8+btmTFjNgDffPklpTH5N6mY1ZFU4AvMKonjkN6PuPJ89mAakt5if24k8CDwlv36aPv1tfbHe4Ed9u0t9+Rld45VqDFj4NgxE/RUrGi2wBzVmO+/39T3CQsz7SN+yTPtMxx5RX8Cx+3f31FXKLlpEp9+upoly5Yr6BERkaDwecVn5cqVvPLKKyQnJ3tcr1evHnv37r3YcZVIsbGxvP32EtLTXYm7jjyWf/97njO/ZxZmWyob04H8mP31OZjTWSMw7SrmYXJ3BmGqOHcE7AWTOWx/vBqcTU83AivAowP7qlUFt62GDjUtJ+6915zCslhMAGSxFMzfibSZ8RzHbMkNto/xT1zVpMOA58aOp1+/gUUyjyIiIr7yecUnOzubSpUqFbj+xx9/EBYWdlGDKunq1KlLp043eCTvLl/+sfNzx85TD0yw4r76UwFIAF7A5Oh0x7R0OI3J6fkE2ImpyQMwH1f15hluv23H9lZqKrRsiccqVJMm5vqaNa7k59RU2LPHJD1XqAANG5qVoJb2cda0P0ZijtfbgMaYIow2oHNnVVwWEZHg8znwady4MatXry5w/Z133imwCiRnd+RINj/98L3z67WY/Jw04FVMcFMDV5CTjsn7qY/Z4kqyv26K2/VOmJWXWZgVl5wwKFcO/vpX+/ewb2/FxsL8+SaQcVizxhxB79/fBDeO1aEaNWDYMHjtNdi2DZLCTE5RRcxK06fAJPt7xGJWf8aFh9O5Qyed0BIRkUuCz1tdjz32GH379mXXrl3k5eUxb9480tPT2bx5M/Pnzy/KMZZ4vR/6G0cyM6mI2TIaBPS1P+etKOFbmMBmCCanB0w7ikGYwKkXZkUo2gL7rXDGZnJztm83Scr9+5sj5omJMHeu6bvlXlhx0CD480/7GLwkP39nM6s8yZhtt+9wbXUdwRxZ79y2PTNmzr6o+RERESkqPgc+LVq0YOnSpbzxxhvUr1+fdevW0ahRIxYuXEhiYmJRjrFES0/fybqN60nGNCN9DVjEuas2/wXTfsLRlgJgAvA98Bhmu+kPC5SKglS3Gj2PPGJWcU6ehNlu8UjBwoqufB5vR/DBLBluwSQ4AyQ1bsJLk6aSlXW40F5kIiIiwXRRhXdq1qzJ2LFji2osIWnpUtOqYguuWjv9MHk6N1OwKOEQTLBxBpP8PCff+62wf5TBHFd/+mlX0HL11eZ01pkzZttr6lT4/XezuuNtVSd/5WZHzZ6IcMjNc+UPNUxswJSpr6suj4iIXNJ8zvHp2bMn77//PsePHy/K8YScrKxDzs/dY496wBJcRQkdycOXY4KNuvavN+OZ/BwBnLHASfv7DB8ON9xgPhITTRXmU6dM0NO9OyxaZO7zdqS9aVMT/LgnP584DuPtfbMaJjbg009Xs+a/mxT0iIjIJc/nwKdu3bpMmjSJ1q1bM2TIEFasWEFubm5Rji0kNGrUBMcZuHyxB9/hWlFx2I05LbUfk/w8Fc/k58vdTmHt3Wsev/rKBDaOBqFgVnh27DDXk5PNkfbUVNi3zzwOHmxOdH33nane7FABmJAHYzF/PHPeWqCAR0REig2fA5+nnnqKtWvXMn36dMqVK8cTTzxB69atefrpp9m0aVNRjrFEK1++PDZMl/VBmFWbffbHR+3X3Vd0ygA/4ars7L5KtBxIz3cKq3t3s7pz6hRcc41ZvQET8KSnm8/nzSt4pD0nByZZYXi+8R4HhgHNMEFZRsbuopwOERERv/I58AGwWCy0adOG8ePHs379esaMGcPWrVt56KGHimp8Jd6klydgwQQ4lfHc1jpG4cfZrUC0/fWLgMWYQOgm+zVv+TovvgjR0a4Vnh9+MNe3boWPPzYrQGlppqKz1Qq5QAqmNk845qRZGuaofS/7e8fH1ymaiRAREQmAiwp8HA4dOsTbb79NSkoKP//8M02aNCmKty3x0tN3sv3n7ViBGZigwuFhTIBzc77XOI6z52JWf0Zg2lCswdXSIn++zsKF5vGrr2DaNHOMvWVLGDnSbGc5WlGUKQNZWTB2rLnuqMhcGXNKrD5mm+1LYKjq84iISDHk86mu48ePs3z5cj766CM2bdpE9erV6dq1K5MnT6ZmzZpFOcYSa8+eDOfnbTGrOl2AlZhVHHAdZ9+BKVz4o/16KUxhwjftr12ECVRiwl2nsJKSTNuJbdtc37NtW1O08OOPYedOWLHC5PPkb0VhtZr3z8OsPMVWrMiIY8ecnddVn0dERIojnwOf6667jooVK9KlSxcef/xxrfL4oHbteCyYlZ1FmO2rGzDd1jdiluMGYGr6bHF7XUVMMOI4/g5wJSZgoTxUq2YCmfBw014iNRWqV4f27T1r8tSrB19+aYKchx+GN980161W+Lf9vcMw7TCuaprMhImTC/QYExERKU58Dnxee+01WrVqhcVSJLtlIWnv3v9hxQQ4T+B5gisSKIc5zp6BCXLaYlaAHrW/xpHKswP4BhOwTJsBcXFwyy2Ql+dKdAbTePTRRws2JE1OhnfeMatFR/NMMULHWGzA88CIL8z+WadO6rklIiLFl89RS+vWrbFaraxfv56FCxc66/kcOHCAEydOFNkAS7IvvvgvFkztnWg8T2+VBU5gtpqm45ng/ComMJkL3GKBROBp+3vOng0nTpjgBjwTnVNToVkzz9NbR4/Cli0QdtwESqWAgZjWE2Xsr6tqf9QJLhERKe58Dnx++eUXunbtysCBA3n22Wc5cuQIACkpKUyYMKHIBliSfbj0fazAKQrW45mGSWAG7/26nrPAhnw1ezZvhhdecN3rnugcGwu9enm8FVb70s7RPFP08Aymx1YiMNl+z0H7o05wiYhIcedz4PP888/TuHFjNm3aROnSpZ3X/+///o+NGzcWyeBKsvT0nfxv7/+cX3sLbqBgYUNHq6xcK0zNV7Pn1VdN8ANQp47rxJZ7YcLISOhoMStL0bj+CPKAOsCHmO20JzENSNVhXURESgqfc3y++eYb3n77bSIjIz2uX3HFFRw4cOCiB1bSbdiwDpvb196akbbD9Ody79c1GJN0bMNzK2vHDjh2zBQptNlgt31n6qGHXCs74eHQ0QqLbBCLq8npTZgCiLuBrvb3s2D6gekEl4iIlBQ+Bz5WqxWr1Vrg+m+//Ub58uUvalCh4OBBs4HkyPF5lILBjQVzRH0krg7sjtc4rF0LN99s8nXS3AoBJSebisxbt5pVn5wc06tr2zaTMxRrv8+xsrQKqBwXx4dpK8jI2E14eCny8s7oBJeIiJQoPgc+rVu35q233uK5555zXjtx4gRTp06lXbt2Z3mlAFStalKGrUAtYBcFgxsrcCumanIFTKHCdfZ7y9uf79PHHFU/csRsZbVta4KhIUNg1ChTr8dmM4HR66+b01y7ME1QwbWyVLpCBdKWr6ZWrdoKdEREpMTyOfAZNWoUffr0oUuXLpw+fZrhw4ezZ88eYmNjmTRpUlGOsUQKC7MQhglwdrhdrwEcwSQ252KCmzxMN/ZZbvfZwiEnDzhlem4lJ5vj6rGxJtfHEezs3OlqWfHhh+bxR0wFZsfKUkxUFDvSf/HbzyoiInKp8Dm5+fLLL2fp0qX079+fhx56iIYNGzJ8+HA++OADKlWqVJRjLJG+/fYbwigYeR7EHGWfggl67sD8khzH3Adg8nTCKnie5tq7Fx54wPU+jmBn1y5TrwfMik8peysKRz+wyLg4Pvt8nZ9+ShERkUuLzys+AKVKleK2227jtttuc17bt28fo0ePZvZsJcOezdvz5wCmSOEsPIsTZgEN7ffZMAHQq5i+Xf0oWJgw/wpPvXquYOfHH129txJOwiqr+X4jgFtvvZ3Zs+cH5OcVERG5FFxU4FOYEydOsGHDhqJ+2xLl3/+exxn75476PdgfHaesHIs3S+2PbTH5PicdX3vpwL5hg2lDMXiwvdHoCLNCVNlqjql/DIzF5A0p6BERkVBT7PpNnD59mttvv53ExES2uXffBLZv387f/vY3mjRpQrt27UhJSQnSKM/u/fcXOz/3Vr/nN0yPriT714uADZij6lCwA7tjheehh8zKT06OOcLesKFZITqIa3vrOPBW6qKi+nFERESKjWIX+Lz44ovOE1Hujh8/Tp8+fahWrRrvv/8+I0eOZNq0aSxadCn+Ax/m/Mw9fskGHJuGucBw4HugEfAv+3WbDRISzKmt/IUJIyKgXDkYORLmzIGXXoL9+83Kj8X+XXv16suvB49xww03+/2nFBERudQU+VaXP61Zs4Z169YxdepU1uZb8li2bBm5ubm88MILREZGUq9ePbZt28acOXO49957gzTiwv3lL9UAUzW5P6bzeldgKAUbkg4CDgB/YAIYq9Wc4rJYzMqOg8ViKjKfPg0vvuh53Wo1Qc/zL7zEww8/4vefT0RE5FJ1wYHPHXfcQVhYmNfn//jjj4sakDeHDx/m6aefZvr06ZQpU6bA81u2bKFFixYelaTbtGlDSkoKv//+O9HR0Rf0/c7yI/rE8X5hYXDs2O+A6bxuxWxpTbTfl0rhOT/h4VChgklqdtTqGTTIJDLfe6/J5Tl1Cjp3Nr26Fi2CiRPNNyiF6cHVsWOnIv+5AsF97uTCaf58p7nznebOd5o735zvfF1w4NO5c+cLfclFs9lsjBo1ivvuu48mTZqQmZlZ4J7Dhw9TvXp1j2uVK1d2PnehgU+lSlG+D/gc73vy5HEsQBSminJbTJLzS3jP+TnbSa7t26FUKRg3zgRBa9ZASgqE26sgRgI33Hgj117bzC8/U6D463cSKjR/vtPc+U5z5zvNnX9ccOAzePDgC7r/m2++oUmTJgV6egFMnDjxnAnIaWlprFu3jhMnTvDII4HbpsnKysFmO/d95ysszPwRZ2Xl8MPW77Figh7H6s7DmMAnf8+uj90+93aS68QJqGYzqz4jRphr4RawWE2uUNWatZgy7Q0OH84puh8ogNznrih/J6FC8+c7zZ3vNHe+09z5xjFv5+L3HJ++ffuydOlSatSoUeC53r17061bt7O+vkaNGmzcuJEtW7bQpEkTj+fuuusuunbtyoQJE6hcuTKHDx/2eN7xtWPl50LYbPjlD27Xrp0cOXoE8FzdqQ90xOT0uPfs+rsFIsIhN9dsb3V3i4ocJ7lsNjiMyePpCiwDOltN01GAFydOITo6ttj/D8hfv5NQofnznebOd5o732nu/MPvgY/tLL+1uLg44uLizvkeTz31FH//+9+dXx88eJA+ffrwyiuvkJRkDnwnJyczefJkcnNziYiIAGD9+vXEx8df8DaXP33wwRJnV/b8qzv3AKvx7NmF1XwkJ5uTXDabWelZs8ac5GrY0DQezbW3a78LE/h0xAQ+UeXK0b59Rz//VCIiIsVDsTjOXq1aNerXr+/8qF27NgA1a9bk8ssvB6Br165ERETwz3/+k507d5KWlsa8efPo1atXEEdeUHr6LsAEJkMwycz77I9PAE0xvbvSMFWaHcla8+ZBy5Ymp6dmTVetnv/9zwRFVptZKfrR/n0cv9i58y/F4/wiIiLBUSwCn/MRFRXFrFmzyMzM5M4772T8+PEMHDjwkjvKXq5cWcB0Wo/ArO44CgvmAPMwndNvBr62QPny5nVbt5pO6zt2QFqaqdFjtcIff5iWFA7TgOqY6sztrm/H9de3Q0RERIxiVcfHoXr16vz8888Frjdo0IAFCxYEYUTn7z//ScMCDMNUUJ6IKVAYDtwIbAWaACuAb62Q+josWOC5zZWVZY6st2wJGzfC6tWu9/8DyASaNU0mZda8gP5sIiIilzq/Bz5nq/kTanbs2MGBAwcAV8+te4AamO2tq3ElNw+wP9+2LXTpYjqvuxcsvPpq6NnTBD4pr9urM1tNSpANeO2N2cTExAbixxIRESk2/L7Vdbbk5lCTnp4OmEkvZ7+WBtwCJAJfYba7HP20wJzkio2FV14xtXn69DHX77kHnnjCBDzxJ13VmcOB1i1bUadO3UD9WCIiIsXGBQc+u3btOuc9S5cudX6+efPmQo+yh6KEhATArMq8DlwHDMYcWx8BTLA/50jHbmmBAQOgWTNITIS+fWHWLFPFecQIqJYDo62QYTW/yDxMheaefdSWQkREpDAXHPjceeedzJo1q9CVnMOHD9O/f3+eeeaZohhbiTYbWI8JVE4AL2NOdYGraGEvK/x5EjIyTCPSvXvNY4UKJvjZZoXRuFpfOLa5mjRpGtgfRkREpJi44MDnpZde4s0336R79+7s3bvXeX3p0qXccsst5OTk8MEHHxTlGEsM962uzZgj7Hsxqz8Rbr+Jg5jKy48BuW6tKmrUMI/TppkWFn8FKthfU8r+vtddq20uERERby448Lnxxhv56KOPiI2N5fbbb2fWrFkMGDCAf/3rX/Tv35/U1FRq1arlj7EWexaLmW4rpjdXd0xi8zILlIvKt6oTZU5ogfdWFe8C1ezvBxAbE8Pc+Qv9/FOIiIgUXz6d6qpUqRLTp09n2LBhvPTSS5QtW5bFixeTmJhY1OMrUb766ivn545YZgeQZoVULw1IwXurisqYVhUWoH5iAz74cLlOcomIiJyFT6e6fv/9d4YNG8bKlSvp168flSpVYtiwYfz444/nfnEI+/77752fr7U/ptsfva3qxIbDoEFmFWjfPvM4eLDJ8TmMKX5oBWa/tUBBj4iIyDlccOCzatUqbrnlFvbu3ct7773H448/zrJly7jqqqu49957mTx5MmfOnPHHWIu9rzZuBMykP4rJ8XEca1+71vNex6rOu3lQ5rhnq4rjx02Oz8NABjq+LiIicr7CbBdYaKdx48YMHjyYfv36OXNWHNatW8dTTz1FVFQUy5YtK9KBBtrhwzlF2hV39+6dtGx5FQ2A7ZiVGkdquMUCUVEmadnRgHTAAKh6Av5jMy0sPsMkQb+PqdVjw6z0lC5Viu9/Si/Rqz1hYVC5clSR/05ChebPd5o732nufKe5841j3s7lgnN83n33XRo0aFDoc61bt+bDDz/khRdeuNC3LfEyMjIASAFuwBX03AB8ajUNRx05PRaLKUh4HKiPqefT0worMUFPaVyVn595bnyJDnpERESK0gVvdXkLegBOnz7NO++8wxrHPo04xcfHA2aLqzSQbL/+qf0xzApRQIIFovOd8NoWBYMsJhCy2T9KAxFhYfTp0y+gP4eIiEhxdsErPqdPn2bq1KmsW7eOyMhIHn74YTp37sx7773HK6+8Qnh4OA899JA/xlqsJSTUIzYqii05OSRjVnxSMae7FmEqN/8LGHGWE15hmKDnlP1x7txLuyGriIjIpeaCA58pU6awaNEirrvuOr799luGDh3KnXfeyZYtW/jHP/7BTTfdRHh4uD/GWqylp+/kSE4OAFswQY/jhPqV9seq9kdvJ7wcW71WIC4mlptvvsVPoxURESmZLjjw+c9//sOECRPo1KkTO3bs4LbbbuPMmTMsW7ZMndjPIiMjw7liA646PgDf2h8P2h+91e1x17Z9hyIfo4iISEl3wYHPgQMHaNy4MQD169cnMjKSnj17Kug5h/BwCzZMpeZ9mDo+jthmEybZ6gWgocXU7bHZXCe8hg6GZAtssbre729/ezCwP4CIiEgJcMGBT15eHhEREc6vw8PDKVeu3FleIQCZmZkAzADuAAZhVn/aAX9itq8SgY1WsLid8AIT9Dg6sNuAqAoVaN++YyCHLyIiUiJccOBjs9kYNWoUkZGRgEl2fuaZZyhbtqzHfdOmTSuaEZYw/wXyMD223GIbLMBG++dWK8QCR+xfb7GaU1xgEpxXrlofiKGKiIiUOBcc+HTr1s3j69tuu63IBlOSVa9eHQswxf71cqA1ZturJbANmI7J/VmLOfYeCeRiVnnOYFaFPv10NbVq1Q7o2EVEREqKCw58xo0b549xlHh5eVasmKPoAI2BY/bPN+J5yqs7JthxrAi1tN9zedWqJCc3D8yARURESiCfmpTKhdu9O9052eGYLatUIMl+Ld8Jduwn2EnB5AMB3HhzV7+OUUREpKRT4BMgc96cSRQwEpPjMx2zsvOy/fl8PUpxnGA/CgzG/KKqVavm/4GKiIiUYBe81SUXLj19J7sydpMK/GC/1hbIxgQ/FjxPea3BFeyMsD9agSpVqiIiIiK+U+ATAHv2mAalTYEB9mtrMdtYfwKNgJ14nvIqjdkOc9T9AbjuutYBGK2IiEjJpa2uAKhd2zQo/Sumq3o40B+zsvNXzCpQw3y/iYYWsyWWhX5JIiIiRUX/pgZAQkI9ql12ObswR9TzgJP2mZ9lv2dbBMyc6erIvjcKLBazIuSoiZ2RsTvQQxcRESlRFPgESMPGTbBi6vNYLBAVZQ9w7IFOuXKwdCnUqGH6dE2ZZgoZWoFr7e8RH18neD+AiIhICaAcnwA5ffo0AJUwAc306a5GpN27m95cPXrAzp1Qr56rIzvAN0DnDp2oU6duwMctIiJSkmjFJ0AiI01/s6/sX7fNV7jHEejs2mUe3TuyJzRoyIyZs/07QBERkRCgwCdAtv/0ExZgqf3rtfkK9zgCnfLlzdbXkMFQ2gIRYWGsXvslMTGxgRyuiIhIiaStrgBIT9/JL7/uB0zOjsUCQ4aY7a127UzQ8+ij5rpj5cdiAZsVevV+OHgDFxERKWG04hMAGzasw4KJMi2YHJ+aNU1Oj+Oxdm1zvY/9NcOtpqBh48ZNgzVsERGREqfYrficPn2au+++m+3bt/PBBx/QsGFDADIzM+nUqVOB+xctWkRycnKAR+lp+/ZtWDGrPQBNLLAnA156CapWhYMH4fmx5vr7VkgGZmKCJBUtFBERKTrFLvB58cUXqVq1Ktu3by/0+blz51K3ruv0U0xMTIBG5t2RI0c8vv63FUblwIgRrmsWC3xvNcHOFsxjROnSOsklIiJShIrVVteaNWtYt24dTzzxhNd7YmJiqFKlivMjIiIigCMsXGysZ2LyfGCyFXYAaZjGpVYrPA18BLyEWR1q2LBRgEcqIiJSshWbFZ/Dhw/z9NNPM336dMqUKeP1vgEDBnDq1Clq167Nww8/XOj21/kICzv3PeerQQOzHWexmADnJcxHRwvcYzXbWtFAX0wbi7GYtha9evUt0nEUV4450Fz4RvPnO82d7zR3vtPc+eZ856tYBD42m41Ro0Zx33330aRJEzIzMwvcU65cOUaNGkXz5s0JCwvj008/ZdCgQUyfPt2n4KdSpaiiGDoAFSuWc1Zrnj7d1PBZuxYGDYLVORBmNW0satrvd3Rjv/nmzlSuXHTjKO6K8ncSijR/vtPc+U5z5zvNnX8ENfCZOHEiKSkpZ70nLS2NdevWceLECR555BGv98XFxdGrVy/n102bNuXgwYPMmjXLp8AnKysHm+2CX1aoL7/86qzVmsOAIcBs4ARQATgGfPPNVmJjLy+aQRRjYWHmPwBF+TsJJZo/32nufKe5853mzjeOeTuXoAY+vXv3plu3bme9p0aNGmzcuJEtW7bQpEkTj+fuuusuunbtyoQJEwp9bVJSEuvXr/dpbDYbRfYHV6lSFcB7teaywDQgArPFNR3ogenNpT96l6L8nYQizZ/vNHe+09z5TnPnH0ENfOLi4oiLizvnfU899RR///vfnV8fPHiQPn368Morr5CUlOT1ddu2baNKlSpFMdSLcurUn4DZ3nKs+ICrWvMYYASQi9niGoh6c4mIiPhDscjxqVatmsfX5cqVA6BmzZpcfrnZClqyZAkRERHOuj6fffYZ7733HmPHjg3sYAvx1pxZWCwmp8e9WvPQwdDFAvdaTeBTBvgTqBpfR725RERE/KBYBD7na8aMGezfv5/w8HDq1KnDK6+8wk033RTUMaWn7yT7qKnjk5Njcnoculgg1Qof2792rPyMmzBJvblERET8oFgGPtWrV+fnn3/2uNatW7dz5gsFw549Gc7PrVZoCOwDRmNWej4GhgJdgHsxgU9m5r4gjFRERKTkK1YFDIsji8U1xRZgP3AZJsCpiUlibgmkYmr4ABw6dDCwgxQREQkRxXLFpzj55RdXzSEr5rj6727PNwTGY1Z+hmCCoypVqgZwhCIiIqFDKz4BEIaZaAumRk8qsNf+uB/TlLQHcBLTkV2NSUVERPxDKz5+dsUV1QFXZ/ZpgONEe3dMoOOW70zbNm11jF1ERMRPtOLjZ7/8kol7/al8NQxp5/b59R06kTJ7fgBGJSIiEpoU+PjZwYOeicpr8z3vSGieMmUGCxYt0TF2ERERP9JWl59VrVoVC67ihEMw21vtMEHPUEz06SjKKCIiIv6jFR8/CwuzYMUUJ7TiOsLu/mgF5rw5M2hjFBERCRUKfPwsIyMdMMUJu2BOc70EvGV//B/mVNf6Lzewe/eu4AxSREQkRCjw8bMVn34CmNyeVEyxwhHAQ/bHpsA8+70ZGbuDMEIREZHQocDHj9LTd/LT9u0kY3J7PgZex6z0VMDk+awGvrPfHx9fJwijFBERCR1KbvYjR5+ueUAfPOv1JANTMatAg4G68Qmq3yMiIuJnCnz8qHbteAA+AzLcrocBWzDbXGCW3d6ZOSuQQxMREQlJ2uryo4SEelSKieUJIBdXq4r5QDRQB7Pl1bBBQ5KTmwdvoCIiIiFCgY+fXdk0iTPAdOBq4AfgGkzrit2YpqWvvPpa8AYoIiISQrTV5We7080R9dnAA27XO9ofbUDFihUDPCoREZHQpBUfP0pP30nmL5lYgG/w7Mr+Da7JX79+XZBGKCIiElq04uNHjlNdVsxW19m6souIiIj/acXHjxynuuDsXdmvu651QMYjIiIS6hT4+FFCQj3q2IsSeuvKHl+rlur3iIiIBIi2uvzstddncfONHXgU2A9cBhwEXsBEnTNT3grm8EREREKKAh8/q1ixIlYgBxjpdr0UJvdHJ7pEREQCR1tdfrZnTwYWoDyep7rKYyZfjUlFREQCRys+fmaxWM56qis8XL8CERGRQNGKj5/98ksm4P1UV2bmvoCOR0REJJQp8PGzgwcPAt5PdR06dDCg4xEREQll2mcJAAvwKGZ7qx0m6BmCok4REZFAU+ATADbgJJ6Vmkvbr4uIiEjgaNHBz6pWrYoNaJjvekNM4FOlStXAD0pERCREacXHz1q1am2OrQMvAVUxBQzHYqJOtasQEREJHAU+fhYXV4nYmBiOHD3KCLfrpYHr27RVuwoREZEA0laXnw3q3wdbTg7zMEnNI4AKQMW4OFJmzw/u4EREREKMVnz8KD19JytWrSQVV/HCtkBToEd2NtnZWcTExAZvgCIiIiGm2Kz4dOzYkcTERI+PN954w+Oe7du387e//Y0mTZrQrl07UlJSgjRaY8+eDMAEOzuAFOBNoKb9ebWrEBERCaxiteIzZMgQ7rnnHufX5cuXd35+/Phx+vTpQ6tWrRgzZgw7duzgySefpGLFitx7773BGC61a8cDcAvwvdt1CxAGVKpUOQijEhERCV3FZsUHTKBTpUoV50e5cuWczy1btozc3FxeeOEF6tWrxy233EKPHj2YM2dO0MabkFCPMqVKORuTOh6jgUjgxXHPBW1sIiIioahYrfikpKTw2muv8Ze//IVbb72Vnj17UqqU+RG2bNlCixYtiIyMdN7fpk0bUlJS+P3334mOjr6g7xUWdvHjXbVqBX+eOcObFN6gdMWqlezevYuEBJ3sOhvH76IofiehSPPnO82d7zR3vtPc+eZ856vYBD49evSgUaNGREdHs3nzZiZNmsShQ4f4xz/+AcDhw4epXr26x2sqV67sfO5CA59KlaIueszbtpkNLm8NSgGys3/j2mubXfT3CgVF8TsJZZo/32nufKe5853mzj+CGvhMnDjxnAnIaWlpJCQk0KtXL+e1Bg0aEBERwejRoxk2bJjHKk9RycrKwXaRPSUaNmwCmAal3d2ur3H7PC7ucg4fzrm4b1TChYWZ/wAUxe8kFGn+fKe5853mzneaO9845u1cghr49O7dm27dup31nho1ahR6PSkpiTNnzpCZmUmdOnWoXLkyhw8f9rjH8bVj5edC2Gxc9B9c+/adqRwTy6CjRwo0KC0NXN+hE3Xq1NUf9nkqit9JKNP8+U5z5zvNne80d/4R1MAnLi6OuLg4n167bds2LBYLlSpVAiA5OZnJkyeTm5tLREQEAOvXryc+Pv6Ct7mKUv0GDfl643qPBqUWIKZiNDNmzg7WsEREREJSsTjVtXnzZubOncv27dvZt28fy5YtY9y4cdx2223OoKZr165ERETwz3/+k507d5KWlsa8efM8tsgCLT19J+s3rqdRvuvxQPax38nOzgrGsEREREJWsUhujoyMJC0tjWnTpnH69GmqV69Oz549PYKaqKgoZs2axbPPPsudd95JbGwsAwcODFoNHzAFDC24jrG3xeT7DALCge+/36peXSIiIgFULAKfK6+8ksWLF5/zvgYNGrBgwYIAjOj8WCwWrMCrFH6c/bVpk7n99juDNTwREZGQUyy2uoorq9UKeD/O/u13W9i9e1dAxyQiIhLKFPj4kaNlxdp8192Ps6tfl4iISOAo8PGjhIR6XHdtKwZhcnz22R+HAsn2e+Lj6wRpdCIiIqFHgY+fzZ2/kMi4OHpgurI7HvdYLHS21/ERERGRwFDg42cxMbGs27iZ665t5by2BWjRroPq+IiIiARYsTjVVdzFxMSy9KPlHDnyG998s5X4+Dpa6REREQkCBT4BVK9ePWJjL1cJchERkSBR4BMgq1atYNu272nYMIn27TsGezgiIiIhSYGPn2Vk7ObWmztyKDvbea1KXBxpy1dTq1bt4A1MREQkBCm52c9uvbkjp7OzScXVuuJ0djZdbmwf3IGJiIiEIAU+frRq1QoOZWczHdOqoob9cRpwKDub1as/D+r4REREQo0CHz/69tuvAe8tK775ZlNAxyMiIhLqFPj4UfPmLQDvLSuuuuqagI5HREQk1Cm52Y86dOhMlbg4BmVnY8Os9KwBBmMSnHW6S0REJLC04uNnactXF2hZEWk/1SUiIiKBpRUfP6tVqzY/bt/D6tWf89//rqRChRhuv72bjrKLiIgEgQKfADhyJJs3XpvKilUrARg37jk6d+jEjJmziYmJDfLoREREQoe2ugJgUP8+fLt2tUctn2/XrmbgI72DPDIREZHQohUfP0tP38mKVStJxdTwwf5oy8ujx6qV7N69Sw1LRUREAkQrPn62Z08G4L2WT0bG7oCOR0REJJQp8PGz2rXjAe+1fOLj6wR0PCIiIqFMgY+fJSTUo3OHTgyxWEgF9mFyfIaGh9O5Qydtc4mIiASQcnz87MiRbHJzczlqtdLD7Xq769owY+bsoI1LREQkFGnFx88G9e/D9xvWMQ+zvTUCiLZYiChVSkfZRUREAkwrPn5U2ImutkBTq1UnukRERIJAKz5+pBNdIiIilxYFPn6kE10iIiKXFgU+fuQ80RUerhNdIiIilwAFPn42Y+Zsmrdt79GdvXnb9jrRJSIiEgRKbvazmJhYFixawu7du8jO/o24uMu10iMiIhIkCnwCJCGhLtde24zDh3Ow2YI9GhERkdCkrS4REREJGcVmxadjx4788ssvHteGDRtGv379AMjMzKRTp04FXrdo0SKSk5MDMUQRERG5xBWbwAdgyJAh3HPPPc6vy5cvX+CeuXPnUreuK4cmJiYmEEMTERGRYqBYBT7ly5enSpUqZ70nJibmnPeIiIhIaCpWOT4pKSlce+213HHHHbz55pucOXOmwD0DBgygVatW3H///axcuTIIoxQREZFLVbFZ8enRoweNGjUiOjqazZs3M2nSJA4dOsQ//vEPAMqVK8eoUaNo3rw5YWFhfPrppwwaNIjp06cXmvtzLmFhRTt+x/sV9fuGAs3dxdH8+U5z5zvNne80d7453/kKs9mCd7h64sSJpKSknPWetLQ0EhISClx/9913GT16NJs3byYyMrLQ144cOZLMzEwWLFhQJOO9GDt27CA9PZ26detSr169YA9HREQkJAV1xad3795069btrPfUqFGj0OtJSUmcOXOGzMxM6tQpvOdVUlIS69ev92lsWVlFU2/nyJFsBj7ShxWrXNtunTt04rU3ZhMTE3vx3yAEhIVBpUpRRfY7CTWaP99p7nynufOd5s43jnk7l6AGPnFxccTFxfn02m3btmGxWKhUqdJZ7/E10dlmo0j+4AY+0odv164mFdOlfS0wZO1qBvTrzYJFSy7+G4SQovqdhCrNn+80d77T3PlOc+cfxSLHZ/PmzXz33Xe0bNmS8uXLs3nzZsaNG8dtt91GdHQ0AEuWLCEiIoKGDRsC8Nlnn/Hee+8xduzYoI07PX0nK1atJBXobr/WHbDl5dFj1Up2796l9hUiIiIBVCwCn8jISNLS0pg2bRqnT5+mevXq9OzZk169enncN2PGDPbv3094eDh16tThlVde4aabbgrSqGHPngzArPS4a2d/zMjYrcBHREQkgIpF4HPllVeyePHis97TrVu3c+YLBVrt2vGA2d7q7nZ9jf0xPr7w3CQRERHxj2JVx6e4SUioR+cOnRgSHk4qsA9IBYaGh9O5Qyet9oiIiASYAh8/mzFzNs3btqcHUBPoATRv254ZM2cHeWQiIiKhp1hsdRVnMTGxLFi0hN27d5Gd/RtxcZdrpUdERCRItOITMDqTKCIiEmxa8fGzI0eyGdS/YAHDGTNVwFBERCTQtOLjZ4P6uwoY7sUkN3+7djUDH+kd5JGJiIiEHq34+JEKGIqIiFxatOLjR+dTwFBEREQCR4GPH7kXMHSnAoYiIiLBocDHj1TAUERE5NKiwMfPVMBQRETk0qHkZj9TAUMREZFLhwKfAElIqMu11zbj8OEcbKplKCIiEhTa6hIREZGQocBHREREQoYCHxEREQkZCnxEREQkZCjwERERkZChwEdERERChgIfERERCRmq4xMg6ek7+eqrAypgKCIiEkQKfPzsyJFsBvXvw4pVK53XOnfoxIyZs4mJiQ3iyEREREKPtrr8bFD/Pny7djWpwF5Mk9Jv165m4CO9gzwyERGR0KMVHz9KT9/JilUrSQW62691B2x5efRYtZLdu3dp20tERCSAtOLjR3v2ZADQNt/1dvbHjIzdAR2PiIhIqFPg40e1a8cDsDbf9TX2x/j4OgEdj4iISKhT4ONHCQn16NyhE0PCw0kF9mFyfIaGh9O5Qydtc4mIiASYAh8/mzFzNs3btqcHUBPoATRv254ZM2cHeWQiIiKhR8nNfhYTE8uCRUvYvXsX2dm/qY6PiIhIECnwCZCEhLpce20zDh/OwWYL9mhERERCk7a6REREJGQo8BEREZGQocBHREREQkaxCnxWr17N3XffTdOmTbn66qsZOHCgx/P79++nX79+JCUl0apVKyZMmMCZM2eCNFoRERG51BSb5Obly5fz9NNP89hjj9GyZUvy8vLYsWOH8/m8vDweeeQRKleuzMKFCzl48CBPPPEEERERPP7440EcuYiIiFwqikXgc+bMGZ5//nlGjBjB3Xff7bxet67rWPgXX3zBrl27mDNnDpUrV6Zhw4YMHTqUiRMnMnjwYCIjI4MxdBEREbmEFIvA56effuLAgQNYLBbuuOMODh8+TIMGDRg5ciT169cHYMuWLdSvX5/KlSs7X9emTRueeeYZdu3aRaNGjS7oe4aFFemP4Hy/on7fUKC5uziaP99p7nynufOd5s435ztfxSLw2bdvHwDTpk1j1KhRXHHFFcyZM4cePXqwfPlyYmJiOHz4sEfQAzi/PnTo0AV/z0qVoi5+4AF831Cgubs4mj/fae58p7nznebOP4Ia+EycOJGUlJSz3pOWlobVagWgf//+3HjjjQCMGzeOtm3b8p///If77ruvyMeWlVW0hQbDwswfcVG/byjQ3F0czZ/vNHe+09z5TnPnG8e8nUtQA5/evXvTrVu3s95To0YN54pNQkKC83pkZCQ1atTg119/BczqztatWz1ee/jwYQCqVKlywWOz2fDLH5y/3jcUaO4ujubPd5o732nufKe584+gBj5xcXHExcWd877GjRsTGRlJRkYGLVq0ACA3N5dffvmFatWqAZCcnMzrr79OVlYWlSpVAmD9+vVUqFDBIwn6fCnH59Khubs4mj/fae58p7nznebONyUqx6dChQrcd999TJ06lb/85S9Uq1aNWbNmAXDTTTcBJpG5bt26jBw5khEjRnDo0CEmT55M9+7dfTrRpRyfS4/m7uJo/nynufOd5s53mjv/CLPZisdCWm5uLpMmTWLp0qX8+eefJCUl8eSTT1KvXj3nPb/88gvPPPMMmzZtomzZsnTr1o1hw4ZRqlSxiO9ERETEz4pN4CMiIiJysYpVywoRERGRi6HAR0REREKGAh8REREJGQp8REREJGQo8BEREZGQocBHREREQoYCHxEREQkZCnxEREQkZCjwCZB///vfdOzYkSZNmnD33XcXaKgair766iv69+9PmzZtSExMZMWKFR7P22w2pkyZQps2bWjatCk9e/Zkz549HvccPXqUYcOG0bx5c1q0aMGTTz7JiRMnAvhTBMfMmTO56667aNasGa1atWLgwIHs3r3b455Tp04xZswYrr32Wpo1a8ajjz7qbNzrsH//fvr160dSUhKtWrViwoQJnDlzJpA/SsAtWLCArl270rx5c5o3b869997LmjVrnM9r3s7fG2+8QWJiIs8//7zzmuavcFOnTiUxMdHjw9FyCTRvgaTAJwDS0tIYN24cgwYNYsmSJTRo0IA+ffqQlZUV7KEF1cmTJ0lMTGT06NGFPp+SksL8+fN55plnWLx4MWXLlqVPnz6cOnXKec/w4cPZtWsXc+bM4fXXX+frr7/mX//6V6B+hKDZtGkT3bt3Z/HixcyZM4czZ87Qp08fTp486bznhRdeYNWqVUyePJn58+dz8OBBBg8e7Hw+Ly+PRx55hNzcXBYuXMj48eNZsmQJr776ajB+pIC5/PLLGT58OO+//z7vvfceLVu2ZNCgQezcuRPQvJ2vrVu3ciA3egAACY9JREFUsnDhQhITEz2ua/68q1evHl988YXzY8GCBc7nNG8BZBO/++tf/2obM2aM8+u8vDxbmzZtbDNnzgziqC4t9evXt3322WfOr61Wq61169a2N99803nt2LFjtsaNG9s++ugjm81ms+3atctWv35929atW533rFmzxpaYmGj77bffAjf4S0BWVpatfv36tk2bNtlsNjNXV155pe2TTz5x3uOYr82bN9tsNptt9erVtgYNGtgOHTrkvGfBggW25s2b206dOhXQ8Qfb1VdfbVu8eLHm7TwdP37cdsMNN9jWrVtne+CBB2xjx4612Wz6uzubV1991XbbbbcV+pzmLbC04uNnp0+f5scff+S6665zXrNYLFx33XVs3rw5iCO7tGVmZnLo0CGPeYuKiiIpKck5b5s3b6ZixYo0adLEec91112HxWIJua3EnJwcAKKjowH44YcfyM3N9Zi/hIQEqlWrxpYtWwDYsmUL9evXp3Llys572rRpw/Hjx9m1a1fgBh9EeXl5fPzxx5w8eZJmzZpp3s7Ts88+S7t27TzmCfR3dy7/+9//aNOmDZ06dWLYsGHs378f0LwFmtqW+9mRI0fIy8ujUqVKHtcrVapUICdDXA4dOgRQ6Lw59r0PHz5MXFycx/OlSpUiOjra+fpQYLVaeeGFF2jevDn169cHzNxERERQsWJFj3srVarknJvDhw97/EcUcH5d0ufv559/5r777uPUqVOUK1eO6dOnU7duXbZt26Z5O4ePP/6Yn376iXfffbfAc/q7865p06aMGzeO+Ph4Dh06xPTp0+nevTsffvih5i3AFPiIFHNjxoxh586dHvkCcnbx8fF88MEH5OTksHz5cp544glSU1ODPaxL3q+//srzzz/P7NmzKV26dLCHU6y0a9fO+XmDBg1ISkqiQ4cOfPLJJ5QpUyaIIws92urys9jYWMLDwwskMmdlZRWI3sWlSpUqAGedt8qVK5Odne3x/JkzZ/j999+dry/pnn32WVavXs1bb73F5Zdf7rxeuXJlcnNzOXbsmMf9WVlZzrmpXLlygVMjjq9L+vxFRkZSq1YtGjduzLBhw2jQoAHz5s3TvJ3Djz/+SFZWFnfeeSeNGjWiUaNGbNq0ifnz59OoUSPN3wWoWLEitWvXZu/evZq3AFPg42eRkZFceeWVbNiwwXnNarWyYcMGmjVrFsSRXdqqV69OlSpVPObt+PHjfPfdd855a9asGceOHeOHH35w3rNx40asVitNmzYN+JgDyWaz8eyzz/LZZ5/x1ltvUaNGDY/nGzduTEREhMf87d69m/3795OcnAxAcnIyO3bs8Agu169fT4UKFahbt25Afo5LhdVq5fTp05q3c2jZsiUffvghH3zwgfOjcePGdO3a1fm55u/8nDhxgn379lGlShXNW4BpqysAevXqxRNPPEHjxo1p2rQpb731Fn/88Qd33nlnsIcWVCdOnGDv3r3OrzMzM9m2bRvR0dFUq1aNBx98kNdee41atWpRvXp1pkyZQtWqVencuTNgkv+uv/56nn76acaMGUNubi7PPfcct9xyC5dddlmwfqyAGDNmDB999BEzZsygfPnyzj3+qKgoypQpQ1RUFHfddRfjx48nOjqaChUqMHbsWJo1a+b8D2mbNm2oW7cuI0eOZMSIERw6dIjJkyfTvXt3IiMjg/jT+dfLL79M27Zt+ctf/sKJEyf46KOP2LRpE7NmzdK8nUOFChWceWQO5cqVIyYmxnld81e4CRMm0KFDB6pVq8bBgweZOnUqFouFW2+9VX93ARZms9lswR5EKEhNTWXWrFkcOnSIhg0b8tRTT5GUlBTsYQXVl19+yYMPPljgerdu3Rg/fjw2m41XX32VxYsXc+zYMa666ipGjx5NfHy8896jR4/y3HPP8fnnn2OxWLjhhht46qmnKF++fCB/lIDLXzvFYdy4cc6A+tSpU4wfP56PP/6Y06dP06ZNG0aPHu2xLP7LL7/wzDPPsGnTJsqWLUu3bt0YNmwYpUqV3P9P9OSTT7Jx40YOHjxIVFQUiYmJ9O3bl9atWwOatwvVo0cPGjRowD//+U9A8+fNY489xldffcXRo0eJi4vjqquu4rHHHqNmzZqA5i2QFPiIiIhIyFCOj4iIiIQMBT4iIiISMhT4iIiISMhQ4CMiIiIhQ4GPiIiIhAwFPiIiIhIyFPiIiIhIyFDgIyIiIiFDgY+IFFvZ2dmMHj2a9u3b07hxY1q3bk2fPn345ptvAOjYsSOJiYls2bLF43XPP/88PXr0cH49depUEhMTSUxMpGHDhrRr146nn36ao0ePBvCnEZFAUJ1rESm2Hn30UXJzcxk/fjw1atQgKyuLDRs2eAQspUuXZuLEiaSmpp71verVq8ecOXOwWq2kp6fz5JNPkpOTw+TJk/37Q4hIQCnwEZFi6dixY3z99dfMnz+fa665BoArrriCpk2betx3zz33sHDhQtasWUO7du28vl94eLizL9Jll13GTTfdxPvvv++/H0BEgkJbXSJSLJUrV45y5cqxYsUKTp8+7fW+6tWrc9999/Hyyy9jtVrP670zMzP54osviIiIKKrhisglQoGPiBRLpUqVYvz48XzwwQe0aNGC++67j0mTJrF9+/YC9w4cOJDMzEyWLVvm9f127NhBs2bNaNq0KZ06dWLnzp307dvXnz+CiASBAh8RKbZuvPFG/vvf//Laa69x/fXXs2nTJu68884CW1RxcXH07t2bV1991evqUHx8PB988AHvvvsuffv2pU2bNjzwwAOB+DFEJIAU+IhIsVa6dGlat27NoEGDWLhwId26dWPq1KkF7uvVqxenTp1iwYIFhb5PREQEtWrVon79+gwfPpzw8HCmTZvm7+GLSIAp8BGREqVu3bqcPHmywPXy5cszcOBAXn/9dU6cOHHO9xkwYACzZ8/mwIED/himiASJAh8RKZaOHDnCgw8+yNKlS9m+fTv79u3jk08+4c0336RTp06Fvuaee+4hKiqKjz766Jzv36xZMxITE5k5c2ZRD11EgkiBj4gUS+XLlycpKYm33nqLBx54gK5duzJlyhTuvvtu/vWvfxX6moiICIYOHcqpU6fO63v07NmTd955h19//bUohy4iQRRms9lswR6EiIiISCBoxUdERERChgIfERERCRkKfERERCRkKPARERGRkKHAR0REREKGAh8REREJGQp8REREJGQo8BEREZGQocBHREREQoYCHxEREQkZCnxEREQkZCjwERERkZDx/83jJqkFXRwqAAAAAElFTkSuQmCC"
},
"metadata": {},
"output_type": "display_data"
},
{
"data": {
"text/plain": "<Figure size 640x480 with 1 Axes>",
"image/png": 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MXbt2Ra1atXzHVK9eHTfccAM2bdqEI0eOACC37W+//YY9e/YAIFdcq1at0KpVK3zxxRcAyCoihPD1ffv27di3bx9uvPFGHDhwwHe/Hjt2DCkpKdi4cSOKi4tN/b3zzjtLPcZAZNmyZYiLi0PdunV9/SgqKvJREtjVWKdOHSQkJCA3N9d37JkzZ7B8+XKkpaX5rvGyZcsQERGB9u3bm9pr3LgxwsLCLrq0JRdCXFfXZSBPPvkk6tSpg6CgIFStWhV16tRxDHH93//+B4AeNFXq1q1r8YEHKtwum9BZKlSogFq1apl8+6VtUxf5VadOHcuivmrVKrz66qvYvn27yX8eaITOiRMnMGPGDLz77rv45ZdfTCbvw4cPl7r/cl8zMzNx5swZ7Nq1C6tXr8a//vUvPPHEE6hZsybatWtnOSYiIgL9+/fH5MmTsW3bNke31bBhw9CqVSscO3YMH374IZYuXRpwmHPHjh0RERGB3NxcnysuNzcXCQkJvnukoKAAQghMnDgREydO1LZTWFhoAtu6qKHRo0fj4YcfRqdOndC4cWOkpqbilltuMSm/QGXIkCFYu3Yt7rjjDlx99dVo3749brjhBpO7w0muvvpq7bw7ybkek51cddVVePbZZ+HxeFChQgX89a9/NfHDyuu+/ctf/mLZFhUVVSbuSGJiIv7+97/D4/GgYsWKiIuL893Dv/76K44fP65dg+Li4lBcXIyffvoJ9evX913PTZs24YorrsD27dvx97//HbGxsZg1axYAAkPh4eE+4Lpv3z4AwEMPPWTbv8OHDyMqKsr3/VxFuX333XfYvXu3rZtbDnBIT0/Hyy+/jF9++QU1atTA559/jsLCQnTv3t3U3uHDhwNq73IVF/hcBtKsWTNfVNflLF988QUeeOABJCcn46mnnkK1atUQEhKCd955B++//35AbTzzzDM+HkBSUhIiIiLg8XjKze8fFBTkI5UmJSWhf//+WLJkia0CZq7PlClT8Oijj9q2Gx8f72uja9euOH78OJ544gm0bNlSq8xkqVChArp27YoPP/wQTz31FAoLC7F582Zf+DQA39vxwIED0aFDB207zJNika2JLOnp6WjVqhU+/PBDfPbZZ5g5cyays7MxefJkH1nYTs6cOWOytsTFxWHZsmVYvXo1PvnkE6xYsQLz58/HsGHDtCkCykPKe0yBSlhYmCNIK6/7VrVmnY3ExMSUGljqpEaNGqhZsyY2btyIq666CkIIJCUlITY2Fs899xx+/PFHbNq0Cc2bN/eBfR7zmDFjkJCQoG1XjdrSXdvykOLiYsTHx5tyrskicxW7d++Ol156CR988AH+9re/4YMPPkBERIQp7UJxcTGqVKmCrKwsbXuckuFyFhf4uGKRK6+8EgCwd+9ey1vD3r17fb8DgVtK5Hb37Nljets9deoUfvjhhzItgtzmd999Z/lt7969pu/Lly9HaGgoZs6caQpHfueddwI+3/Lly3HLLbeYInpOnjx5VtYeO+EcPfv377fdJyIiAgMGDMDkyZNx6623Btz26NGj8dFHH+HVV1/FuHHj/O7fvXt3LFq0COvWrcPu3bshhDC9ZfL1DAkJOWtlVr16ddx99924++67UVhYiFtvvRXTp0/3gYSoqChTFCDL//73P4sVJSwsDOnp6UhPT8epU6cwYsQITJ8+Hffdd985U2Q68Tem8swJpJNA79tz3Y9AJTY2FpUqVbI8wwCtH16v1wTYW7VqhY0bN6JmzZpo2LChz7oTERGBTz75BNu2bTPlGuP7JDw8vFzA19lI7dq18e233yIlJcXv/NeqVQvNmjXDBx98gL59+2LFihXo2rWraT2rXbs21q1bhxYtWpz3xK+XirgcH1cs0qRJE1SpUgVvvvmmyR2Ul5eH3bt3+6KfAPiimHSKSJV27dohJCQEc+fONb1lvv322zh8+HCZ3n6rV6+OhIQELFq0yLSIf/bZZ9i1a5dp36CgIHg8Hpw5c8a37YcffrCEWwOkMHVj0r3xzp0719QmS6Dh7F988QVOnz5t2c6cJ525X5YBAwYgMjISU6dO9Xsultq1a+Paa6/FokWL8Ouvv/rdv127doiOjkZubi4++OADNGvWzAQyqlSpgtatW2PhwoVaoKZGR+nkzJkzFkVcpUoVVK9e3XQf1qpVC1999ZVp26pVq/DTTz+Zjj1w4IDpe4UKFRAXFwchhHa+z4UEOqZKlSqdE/DMEuh9y8/zuexLIBIUFIT27dtj5cqVppD73377De+//z5atmyJ8PBw3/ZWrVrhxx9/RG5uro/H4/V60bx5c8yePRunT582uTibNGmC2rVrY9asWTh69Kjl/IHcr+Ul3bt3xy+//KLl8504ccIXHciSnp6OLVu24J133sGBAwdMLyDc3pkzZ3zRYLL88ccfAa3Vf3ZxLT6uWCQkJASjR4/GI488gr59+6JHjx6+cParrrrKlF2WQ4yfffZZXHPNNQgKCkKPHj207cbGxuK+++7DlClTMHjwYKSlpWHv3r2YP38+mjZtiptuuqlM/X3wwQdx33334a677sJtt92GgwcPIicnB/Xr1zctGqmpqZg9ezYGDx6MG264AYWFhZg/fz5q166NHTt2mNps3Lgx1q1bh9mzZ6N69eqoWbMmEhMT0alTJ/znP/9BeHg46tWrhy1btmDt2rXa1ACBhrNnZ2fjv//9L7p16+YL29+2bRsWL16M6OhoDBgwwPF45voEQnKWZdCgQfjggw8wZ84cv9l9Q0JC0K1bNyxduhTHjx/XciOeeuop3HXXXbjxxhvRq1cv1KpVC7/99hu2bNmCn3/+Ge+9957jOY4ePYrU1FRcd911aNiwIcLCwrB27Vp8/fXXJkvFHXfcgeXLl2Pw4MHo3r07CgoKsGTJEosrbdCgQahatSpatGiBKlWqYM+ePcjJyUFqaqpJaZ5LCXRMjRs3Rm5uLl544QU0bdoUYWFh5VpnLtD7NiEhAUFBQcjOzsbhw4dRoUIFtG3bVptP6lzL3//+d6xduxZ33XUX7rrrLgQFBWHhwoU4deoUMjIyTPsyqNm7d6/JBZucnIw1a9agQoUKJiK/1+vFs88+iyFDhuCGG25Az549UaNGDfzyyy/YsGEDwsPDy5Qmwk7WrVuHkydPWrZ37doVN998Mz744AM89dRT2LBhA1q0aIEzZ85gz549WLZsGf71r3+ZqArdu3fH+PHjMX78eERHR1ssVq1bt0bv3r0xY8YMbN++He3bt0dISAj27duHZcuW4bHHHjMlM70cxQU+rmilZ8+eqFixIrKzs5GVlYWwsDB07doVGRkZJhLttddei379+mHp0qV47733IISwBT4AMGLECMTGxiInJwcvvPACoqKi0KtXLzz44INlzi3RsWNHTJw4Ea+88gpeeukl1K5dGy+88AJWrlxpikRKSUnBc889h+zsbDz//POoWbMmRo8ejR9//NECfB5++GE8+eSTeOWVV3DixAnceuutSExMxGOPPQav14slS5bg5MmTaNGihQ9MlVXuu+8+vP/++9i4cSOWLFmCEydOoFq1aujRoweGDh0aEAmWuT6leVNv2rQpWrdujQULFuC+++7zmyU7PT0d//73v+HxeCxvmQBF/LzzzjuYMmUKFi1ahIMHDyI2NhaNGjXCsGHD/PanYsWK6NOnDz777DOsWLECQgjUrl3bB6hYOnTogIcffhizZ8/G888/jyZNmmD69OkYP368qb3evXtjyZIlmD17No4dO4YrrrgC/fr1w9ChQwOcobOXQMd01113Yfv27Xj33Xfx+uuv46qrripX4BPofVutWjWMHTsWM2bMwGOPPYYzZ87gjTfeuCDAp379+pg3bx5eeuklzJgxA0IINGvWDJmZmUhMTDTtW7duXVSpUgWFhYUmyw7/36xZM0u27TZt2mDhwoWYNm0acnJycOzYMVSrVg3NmjVD7969y3Usn3zyCT755BPL9quuugrx8fGYOnUqXn/9dfznP//Bhx9+iEqVKqFmzZro16+fxeJ7xRVXoHnz5ti8eTPuuOMO7bo5btw4NGnSBG+++Sb++c9/IigoCFdddRVuuukmtGjRolzHdimKR5QHI9MVV1xxxRVXXHHlEhCX4+OKK6644oorrlw24rq6XHHFFVcuQikqKtKS5llCQkIcy85cCPFHlK9YseKfovDwqVOn/OYuioiIcKOqLlJxXV2uuOKKKxehpKWlOSb1bN26NebOnXsee+Rf/BUpvvXWW/Hiiy+ep96cO9mwYYOvNpidvPDCC+jZs+d56pErpREX+LjiiiuuXISyadMmbSQQS2RkpC/X08Uia9eudfy9evXq2lIyl5r8/vvv+O9//+u4T7169VC9evXz1CNXSiMu8HHFFVdcccUVVy4bccnNrrjiiiuuuOLKZSMu8HHFFVdcccUVVy4bcYGPK6644oorrrhy2Ygbzm4jhYWHUZ7sJ48HqFIlotzbvRzEnbuzE3f+yi7u3JVd3Lkru7hzVzbhefMnLvCxESFwTm64c9Xu5SDu3J2duPNXdnHnruzizl3ZxZ27cyOuq8sVV1xxxRVXXLlsxAU+rrjiiiuuuOLKZSMu8HHFFVdcccUVVy4bcYGPK6644oorrrhy2YgLfFxxxRVXXHHFlctGXODjiiuuuOKKK65cNuICH1dcccUVV1xx5bIRF/i44oorrrjiiiuXjbjAxxVXXHHFFVdcuWzEBT6uuOKKK6644splI27JClfKXXbv3ol9+/aiTp26qFu33nk/vrzacMUVV1xx5c8nLvBxpdzkwIEiDBs2CB99tNK3rWvXLpg2bRaio2PKfPyrr85C1apUeM4foNG10aJFEjp06Iz27VPRqVPa2QyxVOKCL7248+KKK65cSPEI4ZZA08lvv5V/dfaqVSPKvd2LSe6661Zs3rwakyadQceOwJo1wMiRQWjRohOeeWaCT9kJIUyKjxXh+PHPIj//K/TpI9C5M/DVV8Brr3mRnNwZN954E54ZNw6/FRb6zte1cxdMmzELhYW/Yd26zwB48M4787F9++emPgwbBhw+DBQXA5GRlTFixD9w4423+PoRFBSEH374HoAHNWvWxJkzZ7T9ZNm9e6fvfO3atbcob38AUFX85xoION175xOEbN78BR5++P+wZctXvm2lAcYXQi6H5/ZciTt3ZRd37somPG9+93OBj15c4FM62b17J1JSWiIzE2jcGKhXD6hfH8jJAfr1M/bzegmAsMTGRqGo6Hftbx4PVSbmv/L2GgL4DYAnJBhnzvxhOi4nB0hOBnbvpn5s2EB9yMoCnnmGQBBgVD5Wz8vf5e3t26fgn/+cjoyMEfjkkzWm/ZOTk3Hzzbfh6NEjKCwswgcfvIcDB37E9OnCBACbNm2PkJAQEyCqVCkUx4+f9H1v3z4Fs2e/aQJzNWvW9AGzdu3amwAbgzQn0ML33oYNm7F48SIUFv6GOnXq4l//mo49e/b49uvatQsyMh5HUVFhuQIhHRBMSwN69wYeeYSA8fz5i8rlXOUtf/bn9lyKO3dlF3fuyiYu8DlLcYFP6eQ//3kH9913jwkQdOwIdOkCjB1LAMLjASpUAE4aeh6hoUBcHPDrr8CpU8DUqUCzZkD//sCWLcZ+QUHAmTP0vwpU5N8AUqoff2x8b9sWWL8eyM0FCgsJBIWE0G+nT9P/p08b+4eEAMHB1OapU8Z2r5fGAADVqgFt2gDffEMAS96H+xYTA7z9NrX92mvAu+8C4eFAVBTw44/mYxo1ApKSaP8zZ7w4c6bYAr50Y+Xf2XJSWPibxbJ27Ngx/POfL2Lbtm2+6+DxmNuNiqJ+Hj9ugMy6devgiSeeQY8eNyFQ0VnD7rrrVmzatAqTJxdLQJCuS58+dD3Wr998Ubq9/uzP7bkUd+7KLu7clU1c4HOW4gKf0kmPHmnYsuULH4BQFXbNmqTso6OByZPhU4AjRgAHD5KyzckB7r4b6NGDgMqkSTC5q+rUAWJjgS+/NLcxbBgd36gR8PnnQEQE7SsDJ68XeOst4OhRYMAAAmAqqOH+quBC/q4CsIgIAmvcl+HDgauvJovT668Df/xhnifZetWgAZCYSGCHrU8swcHUvtpH9XwjRtCc/PqrB6GhMfj11yLt9eFj69QBtm8HwsLMc3j//cCxY/o5iIgIwzPPZKJt2xQfOJk37w0sX74UV19dB/fcMxgxMbHo2/d2fPHFF6ZxNG3aFF9//bXv2rKwJTAvD0hNBV5+eRL+8pcr/Vqazjc/6M/+3J5Lceeu7OLOXdnEBT5nKS7wCVw2b/4CPXqkmcBCaCjw/PPA0qVm60tCAvDZZ2QNyc8HsrPJBQUABQVkcWjQALaKkv9Xf+vf37AmJSQAv/xiBU5HjpAy93qBSpWAK64wW2tCQgioVK4MTJ9OYG3pUuDVVw1LCAOPw4eBBx4AMjKAIUPot927gf/+l7bJEhpqtnLZufCSkoA33gC2brUCEYDASGYmAUPVjQfoXXYyoMrMNPrGc1hURMfn5pr7sWMHjVmVuLg6+O67ffjjD/NNHBzsxR9/FGv7AdC1rVXL+P7990Dt2sDo0cb1Z2F3n8z7seNNsWtO5/YrD5D0Z35uz7W4c1d2ceeubOICn7MUF/joRUfMvfPOm3Hw4A8WSwQDkb/+1Wx9qVaNlOuHH5rbzskh60V6ur2i9HgIiPzyC5CSArRsCVx3HfDFF8a+7Dpas4YAFrctAwTAADE611qNGnQOuc3iYnLbrVpFbbNyt+MIAeTaOnXKsNw47RsSAnTqRONr2JAAmDynDzxA7qgTJ4zj2a2nswYxqRugc0ydStsAY37trGtMBgfISvf++8C6dcBTT1EfatUC9uyxjoddZuPGAb16AQsXEtiyA7Lh4TQe2TIWEgJUrhyJzMxJaNq0mc9dJhPnc3OBUaPo/lL70Lp1MipVqoS8vDW+bc2bJ2H8+FeQlNQCgQrf6y1bNkNMzBWX9HN7IeTPsuZdCHHnrmziAp+zFBf4mEX3xi0Tk+0UW6NGwM8/k2KVLSinTtFvDDZYcT/2GDBmjH17Kh+nUiUCWCroOnaM+EVLl9J+DJy8XnLzHDliWGv+/nez8r/pJmDvXj2IKC4mN1R4ODBlCjBrlt71xvsyL2joUGDjRrKk2O0LkFUnLIy2qXPQvLm1X0OH0r5CkOXkH/+wzll4OM2Hx2O4r5gA7mRdy8mhyLpXX6XjVAsQz+X06XrwmJwMPPQQAaCoKJrf1FRyb40cCfz+u3ENa9QgIMUiW8NSUlKwbt06Uz87daK+/fWvBOJU4HbiBDBzpnWe09KsUWQqmD/btAyukFzqa96FFHfuyiYu8DlLcYGPIbt378TQoYPw3XdbMWlSsVZp21loAFKM771ndqcEBRnKsGNH4IMPSBnyG3xEBAELVpSjRtH2P/6g7R07+rcmAOROU6PL4uLMLi4+5u67aX8nMDBmDDBhArmNoqKAe++13zcrC3juOQId7Oqy23fePFL0dnOq9kvnovJ6CewtXEiWLr4GPXsaxGoGjWFhwKBB1Ef12n39NVnkVMvUiBF0jApw0tMJxGzbpgd1QgDXXAN88olxDFuq7Nx+shUnOJiu++rVBsjcs8dw3dnNKV97eVt4uAdt26Zh/vxFBHDuH4SPVkkAp3MXnC7+A19//ak2LcOQIcPw0UcrULVqNdSoUQM//fQ/tGzZOqD8UE6uN39uuUsx99GlvOZdaHHnrmwSKPBxExi6YiubN3+BRx55EF9+uQWAWcHcfTcpKgYTa9aYlU9envH/W2+RoszJMQOWSZOMY+69l5Rxv37Ayy8DixaZw+CjokjZy31o3Jj+duxo7ndqqvF/z55EOH70UaBuXWDfPors4r5MnkwKlNtgQGTXptdLH5nHY7dvo0bEc2L3ktO+d99NAGL8eOL38LyxBUftF0VCGeNgS9fq1cC11wLz5xP/ByDQA5BVZfduoEULuh7MrVGvXf/+erfZBx8AO3cC331nPu8DD1gtVPL9ERwMHDhAQGTXLuImzZ9PfWVwI4SZ4zRiBFm4Bg6k9o8eJbAkg7E5c5zndNcuA/jwtiNHBFauXInRo0dh44b1+C7/WwwG0AnAVwCmrlqJY9CN5Qz69VtpsgLJ4Cw6KgIzZ81Hhw7SzQcCLN98sxWvz3wNn61f59vOOaiEEI7WJdf65Ior5S9urS5XLHLgQBHuuutWpKenYc+eLT4lb6dg6tYla01ODlkZcnIIbDCX5uOPDZBTq5Z/wBIfT+Hf2dkEBACD1yIfExdHf9cYVA4ABujKyqL+DB0KVK9OCru4mCxG3JfBg81t+Gtz5UoCBTk5pLid9q1XD/j3v2n/zEz/fV27FnjiCeO30aNJ+X/9NYXN8/H5+WTpGTQIaN2axtG9O0WTnT5NfKf4eOCee8zn+uEHeiO6+Wbg22+BJk3IdThsmHHtMjMJFN17r9H23XfTnPF5J0825u/uuwkoqdcGMK5ncTFZg8aPJ5dZr17A008boCEtDZgxg0DpP/5BbU6aRPdN69Z0TUJCCPzm5JCFivvr9ZrnND+fjuX5V+e5Th0CWW+8MRvbd2zHCY/AvwD09wIveYFjcB5LRoZx/qgoisrLygIEDqPXHTfirt634ssvN2Hx4ndwy43XISWlJe4bcg++Wb8OOQAKAOQA2LxmNYbeNxDDhg3C5s2rTePavHk1hg4dCAB+fy+t7N69EytXrsCePbvKdLwrrvwZxLX4XAC52M3Ww4YNwsaNq3yE2ORkUoh2Vp2JE4kHoktUyH/tAIuaaBAgBSlbjLxesoJMnGjuQ3w8WQk4nF12i6WnkxKtUcNwe1SsSG6nM2fIclG/PlC1Km2X27Brk/+XrQHp6WSd0J1fCFLevP+qVQQQ1X07diTr0F/+Avzvf2ZryrBhhtvJ6yXrR/XqdO7MTPokJxPPiRWjmgLgvfcMi9Dp0wQY/vc/AlNjx9JHJX5z2+np1KZsRVNBwaZNxvXU3R8McGbOBGbPNoAjc75ee42uweTJ1I+dO43zrV5tuNVmztRblNil9u9/myMIe/UikvWaNQSig4IMq6GcT6h2bQLFx47RfH37rf1YhgwhrlNsLFkRMzKIa5SURP1ck7fS5DpL8ALbi4GpALi5uwGIM2fQr2Q/O+vS6tVkYbL7fc+eXQGvH67lyBVXDHGBz3mUoqIi9OnT66JefHbv3omPPlqJjAzDBVSrFilAVWmzVef330mB7dxJ7gUO6Q4Opjf148fNimTvXrI8DBpkTWbo9ZKrQ1XgX38NdOtG55T7sGcPuUFk0MXKGjBbHa6+mnLYDBhg7PfzzwQa6tQxtxEaav6ekECWqrw8s+LPyQFuv926b3IyAQ3A2D8nB+jb17xvjRo0RrZaJCVRv2JirO7E4mJS8KdOkYWke3cjB8+RI/auphMnzN//9S/6AAQ4iovpei1fTqBI5umMHEl97tPH6LN8LfPzyeWWlGR/fwBGWH1xMQHb+fPN/KRly4xx5uVRvwAjYaQ8j/n5BJaZQ3boEN0jDKg46mvECCKqyzJ1qn6OmC/07bdA+/b6sXg8QIcO1mi/YcOIoxUUBFQKB2YpLkLvYaCjEt4vO8TsrEubNm10/H3v3j0BAx/ZcmRcW7IcXaxZs11x5VyJ6+o6j9Kv313larY+F7Jv314AFOYMGAo5J4cy7fbrRwqnXz9Swo0akVLIySFlVVgIPPusQUQ+ftxQDtOnE/n2+utJiVSqZHZdsLJTXSlTptCb/NGj1J7ch5MnCaQEl0D4rCwCYRzGzm/qXi8pLPl8n3wCbN4MTJtGpFl25WRmGoDsuuvo2O3baT+AlOmBA/R/TIzVpbRjB1lRVqyAby4PHKB9ly41+EGNGpEFRu5TQQEBDRadiyUsDPjPf2h+kpOJ0wM4c13k7489BvzznzSuhx6ibZmZBDjVuZ84keZkyBC6Znwt2dWUnU3Hv/GG/v5gQBIcbIz7rbcMfhKPKSLCAD7r1xPwSEsz5hmgfvToQSTv9HQaj9dLoJWtk3ffTWkAOOyepW5d5zliKxpAIPvgQfNYEhLINXjihLXfW7cCDz9MlkSdi7C4GHjLfFpIBk1b92fLlsmOv9epUxeBCL/MTJp0Rrm2Z/DRRytdt5crl524Fp/zJLt370Ru7vJyMVuX5pyldan99a91ABAfRLXy9OlDi+7Ro5T87+efgRdeIM6Iai2RSaiNGxMYYCXIkVHMtQHMb99yhBFgKKe1a0nZtG5tkGQ3bCALDmclfv55sqLIb+phYeTGkMnUd99NYGrWLON89evTp0kTQ0n//rue6JuWRi4kDs1m8PXHH9asyOr+M2dSm9u22Vtp2BUnu1hYYfE+nTqZXYI33URjUkEfc134+/TplCdIHpdK8lbnnjlWTZrQtZSvN0DKX2f1GzGCrle/fsSJAczuP3XcALnDiotpv48/put58CC5BcPCrNbAH36g47jvPXsaAEXeD7B3Ye3fb2w7dIj6PXWqcR+vX08g69VX9f3eS+8Lti7CJwHUAFl68gCMCgpC146dgCCyvAhxRnJ/BqFr107o1KkLunbtYvt7oM80v8yUh+XIFVf+DOJafM6T7N3rf/EpL2FyckpKS/Tpczvatm2Bu+66FQcPHvB7bFxc/ZLFNgg33UQuDH7zHTCAQA9AoMfrJX5GcTEtyLm5pOQqVjS/Ff/4IwElfivv1Am+ucjPN6KFeC7ef9/cJ1m516xpgJ769QkMcLsff0yuNflNncmsfD6AeB49ehDoAei8bJWRz1e/Pik8tiTIb/Fbthjn+P13shAdPUp/dRYref/oaCOhod39sG6dQRJPSzOik+R9Nm4kcMG8o717aV+VYH7//eQaGzWKrufJk5Q9Wx6XSvJW557P8f33BD5kqVSJCOSy1e+FF0j5V6lCQAYAHn/cOMZu3MOHG3XUWJo1I/BsN7c8l0z8zsvTXzPVWiXP0eOP03nTSqLSly83XGeydWfhQmu/2d0r77t+PVnueP7CAPQDULvkb4uOnTBtxixMmzYLLVp0Mt2zLVp0wrRpdHP6+z0Q4ZcZJ8uRS3p25XISN4+PjZR3/oQ9e3aibduWtjlHyrNIo5rlVs5DEog//+DBAxg6dKCJixQdHQGP56ip0KSccyYpiUBQ69bOeXXkshRMCGXh75GRpLhkq42cgZglPZ1cGFOmmNvNyiI3EoOjzExzUkRdtmIOn77jDkpoKHOP7HIU3XsvuZoOHjSHt9vtryvl4DRXgGFluPdeY9v06TT36lzcdJMRCg8YFdDHjKH569CB0gQ8/7w+f0+XLkRUlvMnjRwJNG1Krpx69YgwrCZRHD6cjj940Nwf5jStW2dYwPzlXmrZknhbaj03Iah9p7mNiCDLmG5sdtdAnqOgIJobnsNA8gOp95a6b2QkAWK5nAuX5JALygLA2rWfQi7uKsuePbuwd++eMgdE8JowcaLZctS0aXuEeEMsuYymzSgd71BnXXZz0ZRd3Lkrm7gJDM9SzkUCwwED7sD69R9ZFp9AAUkgsnv3TqSklA/A4sU2KCgIvXrd6pio75ln6O1+zx7nZIbcxhVXkDtCdSEBRC5VE/MJYQAiNUPzyZPWchfHjxvRYhUrUobfyEiKxHFSVB6PcZ6aNck6Zbdv27bU5+HDyT3C94tu/wEDiHsSF2fNVi0DDbZ4/O1vBoD7+Wfi2vA+gwfTmOS5GDmSgOPHHwO33UYWFzV5H0Dzc//9BJLUfs6YQZYbGRhUqwb8+qv5vnCau0qV6O/06XQP6OaPM1Cr4+Y5dAKDTr9VrmxYJO32q1iR7jvO2q3OkZwZ3Km+2MiR1O8HHiBiuRPQCg2l56NXL+MlJCgoylRQNioqHL//fsT3vbyDHnQvM127dsHpE6fx9brPMOnMGXQEsAbAyKAgtOjYCfMX+l+T7JJATpsxCzExMa7yLqO4wKds4gKfs5RzAXyCgv5Ar153nNOorpUrV6BPn9ttF+IFC95Gly7Xlmububnk3mAFZKdUWDEOH04cH6c3agC46y5ygT3+uLOVoFEjcqdxuQs7S5JckT0QcAaQdWjdOnO5hVGjaF8+R3g4Kb+0NHIhhYXR/rVqkdtu2jQCaElJ5vIKcrZqta9ctXzaNGpDBoJqH+W5AKyRZzy2226jkPratYmTo5aRGDWKwFznzjTfXi/tw9YX5gHZzV1oKM1vVJTZ+qNmoJ4/n8LM1QKtQ4YQkLRr/4orCNCqGb0Z8AEEFufMId6PPLbhw40itU7XPyyMiOn+MoKzMPAMZF+2gi1dahCmt283fg8Kov4lJQH79nnRqlXnco+4ki1HQgh6SYIRag9QnqF+COwl6a7et2LzmtVa4LTgrUWu8i6juMCnbBIo8HE5PudRYmJisGDBIqxfvxkLFryN9es3Y/78ReUayh6IP7+826xXjxK5yTlg4uPJdTJjBin3ihVJ0R07RqAHcI5CEoIS8U2d6j/h4Y8/krWA3RV795r5Fnv3kjVKLoRpNxb1PJMnE2lZ5liEhJDyBUgZHyl5Ue/dm449eJAsPJ06kSLmOllbtpgTOd57rxFWnp1NoOC99+j7kiX097ffSFHKSQud5sLjISWuG9t995HlaMsWAjgpKeZxJSWRJej55w3ulMyp8ccDOnmSrtuhQ+bf16wxeFUNGhCw4EzNAM3Rl18CXbs6t3/tteSyk/vcti1ZUljGj6eorN9/N+939CiBSH9JJ8eNI4sOE/tlPtCIEWRVlCU8nFyIOu5QaKj5Ply3ju4JBti8L/8eHk4gvqAA+Otfi00RV2fDwdm9eydycl5HTs4cAECXLteibt16BulZ2Z9D7f3xDnfv3omPVq3EpDNncDeAWiAANfHMGXy0aiV273b5Qq5cnBJ8oTtwOUrduvXOWRSFQU72HwkSaNSXfZukIOrXJ/eFLvpp9WrD3J+RAdxwA/D55/Q/R9hwXpb//pfOt3Gj4V7p2NEojilH5BQVGTlauNglW3TscrUA1O//+z8jQSFbZaZPN/gf8nlGjCDAlJVluH2ef97gtXC4vhDEg5k0iZTzt98aNcXWrCGQc+yYPWC56iqjphhA/QkNpVpfderQfoWFBrnWLjqJ632pOWgqVaI8SAyKRo0iwPDFFwTY9uwxoqi8XoPoLfc3Pp6sWrr2k5KMRIly4sTOnY3vaoJFJhYzcImP1+eLeuAB2u/dd8kN+ccf5K678UZqc/hwIoyrCSDfeosyRB89Crz4Il2D/Hyj7ph8jpEjaXsyRZBrcy4FBZE7TU2AeOWVBiBjcYoA69SJAOqYMc45hQDg66+/wuOPZ2itxDJHSPf8HjhQhHvv7W+qUu/1Ah06dER29lzjhQZmiw+/A/h7SQoEOLVp09yxDVdcuRBySbi6fvjhB0ybNg3r16/Hb7/9hurVq+Omm27C/fffjwoVKvj26dKli+XYhQsXIolfLUshl3KRUjt//tnU/9G1ybWVli3zz5uRx5yeTgp43z4z5wUg68qZM1a+DBOSmeviVEF93z5nN1ZKClkKCguthTgbNSLlOXGiPUeFx5WaSlYQVniyi009xh8JNi/PUOKHD5O17LbbzGRl7iNgdVONGEGWluJiGsO2bcYxtWrRHOTnU/g/F1tt3JjCuJ99ljJY79lD4HXaNHt+k44HxK4mDqOXXZYHDwJt2jhzd+Sq8gcOELiSeVDqNQKs2/g7k+x/+81Id8Dzy+7F9HSjSCoLf8/IMCySAN03hYX+3bN8j9eta1SZt3OncbHY9u2pBIr6+5w5RpLNevXiUFS011QcWMcR0hGS77rrVnzxxUoTAGdeXIcOXTB//iKfq2rimTOmUPtAOD4+PiHsXWVt2jR33TVlENfVVTb5UxUp3bNnD4QQGDduHK6++mrk5+fjiSeewPHjx/EQZ2Arkddffx31pCI90dHR57m3504CtdBER8dg/vxFtpEgZcniKrf59ddbMXv2DKxduw7Nmhn72FkzKlUiZSS/JdetSwswu6Xkhfn332n/Rx4xrAsvvkg1oeS3artcMHJxT8CwhtSqZZQoOHTIzF9h4BQTY7hH/I1r6FACUQBZvPbtI1fUzJnWY+68kyxCqrVkxAhS3Nxms2Z0fKtWZpdVnTqUgLF7d+Cdd+h8ch9lRf7mm2Ql+ewz+s41ra69lpR4SIhZuVeoYBRBnTbNuRzHo4+S5auoiCwgJ06QZSdGwsuyy7JNGwJThw7Zz+OTT5pzLxUUkGvywAGrFXHkSLLqHTlCixwDNc7WPGoURRbK8wKQVa9jR6NcysCBZFWT80F9/DHdd82aUV/efNNwR8XG0pzZZY8eOpQI9M8/b4AgO6vcU08RwPr4YyNfE183wLB80hzuRlaWLvdXEbIA9EIJr2YN1f5isMJJC+2eEXajTZsxC0PvG+grnwEAXUtC7f1JXFx9dO3cBSPXrIZQgFPXjp0QF3durNquuHK2ckkAn44dO6KjtGrWqlULe/fuxYIFCyzAJzo6GtWqVTvfXTynUtY6OzqXmv2CGFgiRW7z5pt7+kDQPx4chkOHj9ou9OPG2bue7NxS69cDixeT8pUVvMdD7rIlSwJXpOzGWLqU3tyZ32FX+yk/H3jlFXLT3XuvvQJr3tz4Pz2d3t5nzqTvumOKi+lNXy2vMXAglb2QLR/yeQCjwOo779D3oiLDJSgrboAA4r59VkD5009kTYuIsJalqFmTCM/+ynE0akQg4r77gA8/pG12QHP8eAJV/MZqN4+cjZslOpr4QnI2ZvUaAfS/DNTee4/IyTNnGnXAXn3VcDsxoOFabGrYfrduRh4oWTp2NCxoubl0HjXqcOpU+j84mO5Rj8e+hlzv3oYr67XX6Hr1729YuSZMIDcnk95HjzaSPsbEGPd5Ixi8Gq79xc+vv6SFgJG4cP5C+5ckf3I2wMkVVy6UXLLk5sOHDyOKU8FK8sADDyAlJQV9+vTBStmOXErhxas8P2Vt16lCc2nbCiSLa6BtxcXVQ9OmTXH4yFEEB1sJnmzNkMmn8rmc+jFzJnDNNWQp4JIHPH+rVtH/dgRVBhdsualfn5Qolxbwd24umlmpEikgdVxcTmHDBoOn8txzxF0C9InyRo6kKJ6QEHJ1hIWR+2v6dFL8oaHkctIl1+Owd5Ww3acPZVJevJiASEgIZWTessVcgZ6rnZ88SfwYXVmKrVutcyqX4xg/nv4WFFByPzkvjVxFPifHiLTasoXA0auv6snCDEjr1CEgy6H8Bw8avC4nxS3/zuTvF16gqLFOnWh+mXjO9dw4Gs/jMd8jx46Ra3H6dDpOTtJ4001UZsXrpbFxckk5sSEX8v3jD7pvXn2VrrdKxM7JMQParCyaK5mQ37SpNQno2rUEmOT7fDyAAzwvJX/5+a1Tp47lesrHAsThkZ/lrl2vRVxcvVKtJzExMVjwljlgY8FbixATE3NWa577cefubObNr4hLUPbt2ydatGghFi5c6NtWWFgoZs2aJbZs2SK++uorkZmZKRo0aCA++uijC9jTs5cdO3YIACInB0II4zN3LgQAkZ+ff0Hbe+2114TXCxEVBREXR23wp21bOJ7L6bcVKyBGj6b/4+Op/cxMiKlTIRIS4Dvn3LkQBQX0NzYWIj0d4tVXITwec19q1KD9J0zwf2754/HQueRt8nev1/p7hw4QTZvqj/F6IZ57znpMt270kbeFhkKMG+fcV7u+FRSY9y8oMPax+61BA4joaJqjOXNovnlO+Xxt2xpzn5NDx+bk0Hc+d2oqRFGRcf0KCuh7erq5r3y/REXRb+npdP6cHIjVq53HPWaM+ffcXPqelkZ9tusbfzp2hOjbl/6fMcP6e3CwcQ3Cw6md995z7lNGBv0dPNj4LTUVIiyM5pLv05gYajfdC7FcuRd37HA+R2YmRGwURJIXIhYQ6WRUEnNhfX7T068T0dEe0zPiO3f6daV6zl1x5c8kF9TVlZWVhWyucmgjubm5iGPHPIBffvkFgwcPxvXXX49ekikhNjYW90jVIps1a4b9+/dj5syZWtKzPyksLH9yc5UqEaVud/PmrwE4VXDeipiYKwJuLzb2L45RXzExV+C33w77bWf37p3Yu3cvvvjiS59LIjmZwpWZ5zJ8OHEj1Cgdtn5w/S6V89KtG1VSb9qUzpWfT2/Fcnbk+HjiZ+iqst9+uz7Z4dGjROr1esmyoPJXOASZo7SefdZIOnf//WQVKC42iLS1ahGv45tvrK6jtm3JfZGRQZmgGzc2MjzfcQfxbz78kM731FP0Np+XRy6+q6+mNmfONGpA2V3/ihXN/Cmu1K5WUJcfMzuX044dxNsZM8b4rVo1Ilqz9W79etruL3LuuuuAJ54giwafj2t5vfYabf/f/6wE8YwM4ujUr6/nGHEE2fjxNEfDhpEFh+MXnOqAZWURz6l/f7MlZMIEa0btuDiaj5Mn6TN/vkE4trsWmZn091//Itfkc88Bt9xCLsaMDOP+9XiAFEEk4JLp9LXJ18LuHBkZQKoXWFQMLAWRiLMAvFDCq5Gf34kTX8OQIf3Rr1+erx2O6po48bWAnvOzkbKuea64c1dW4XnzJxcU+AwcOBC33nqr4z61pLCIX375Bf3790fz5s3xzDPP+G0/MTERa9euLVPfhMA5ueFK266cQ0enrCgRWen6MG3aLAwdOhD9+smcIar/468tHd8IoIWaq4W//TYpopEjiex54oQZoHTrRm6FBx7Q/wYQgGLxeq2h0CNHGr/LCRPz8/0XwWR+h8q3qV7dCI0HqJ2BA83HyxFE339POYTswpaZfvbKK/Q3NJQ4Lxs2EHH7008pgktWio0aEVF26FAa64YNtL00/KkBA2h+Dh8G/v1vc/QSJ5BUwQSDPY6qYzl0iFxZ1aubwYE/F9TGjQTw2O3H59uwgUCY10vuLOY+8bzKRT6nTDGDIoD2e+MN4jidPk3XKyuLfvN46Dx2fatVi1yd6r00bBi5H9u1I17XmTOULVu93zgr9OTJ5gSdfC2ysgygPGwYgV95zip5gePF1Me1AG71ArcU66+v3fUGgLxioK8XeLHk2AwYvBr5+Y2KisFbby3B6tUr8fbblAfh9tvvRKdOxPg+Xwr1XK2ll4O4c3du5JIIZwcM0NO4cWNkZmYiKCjI7zGPP/44/vvf/2LRokWlPt/FFM5uV2fnbEtdlIXQqNYBU2svbdxoLPiciZalbl2KTAoJod8PHbLuw0F4HII7ZYpzGHFyMkXXcJj7pEnOtZpYWEmOH09WqdmzqU6VnEU5NJT6sGIFHV+nDilINYS+ZUt9WPLo0dSXhg1JgT/zDI23qMhoXz5fhQqkzOVQ/qpVCQTYha/bhe4nJ9N4dFFRISF0HVi8XqBFC2DzZmukG0fZRURQBu3iYgJ0TqHpsvLX1VgLDaWxdO9O+w0apC/B0bYt8Zj69SMu09NPkzUvJ4csMGq9NbZ2Od0rGzc6Z1kODiaejrqPrj5aWhqN9aGH6N748kvazha2rCy6Vt9/rx+jPD9cuqRWLWpXvd4jR9J1WLWK2hs5DKh9GNhSDLz11mIfmJHFLo9PcnIy5s59u0yJUwONLAXObs273MWdu7IJz5vf/S4F4PPLL7+gX79+uPLKKzF+/Hh4OZkH4IvgWrRoEUJCQpCQkAAA+PDDDzFx4kQ8++yzuO2220p9zosJ+PjLy3O+xK4OmFp76aabaPE/dsxaMJSVTJUqFHmzb59VGchKhPOu2AGZhQsp70lpSjpkZVHkF/fvxhvJ9Wan9L/9lhRZZmZghSt5W1QUjUUtbcGiAgA+HwMiVn4jRpB1RAVlXKNM15/ly8ndZPf7ihUUPj1rFinVqVMJgNrtz7mAAPsaY3bKn+c8MpKi5ORz5OeTdc/uvOHhBHrWraPtPXqQm5Croetqoql9U0uM2N1LlSoZpGq7Aq52wGXLFkpC2a+f+V5MTqZjnIr3jhtHbjG+vh4PgWA7EC4f265NChYvWe7bTwYmjz+eYZvHJzIyFp999qVv/fAHaMoSWeoq77KLO3dlk0CBzyURzv7ZZ5/hu+++w3fffWcKaweAHTt2+P6fNm0a/ve//yEoKAh169bFP//5T1x//fXnu7vlLv7y8pwvsYsIe+YZ4OabrSHJx47RG7GsQNjtUFhIHzuXFOc3YXqXU0h5r16kWNldpLpX+I05JIS4NkuWUN8Assq88oq5PIPal/HjgXnzoB27HAnGhSvZdZSURAqNjwkKsoaY/+c/BAbk83Eod4MGxpxKWB8AKeLDh+2zKLOSt+vv/fcbifYmTTKi5uz252sl1xizc0Gpyr9iReJL9expPQfnD7I779GjRmQZQH1o1YqAj+6Y4mKykqncrxdfpHB2j4f6L1e7z8uj/leoQCBEzioOBOY+5YjB9eutLjJ/ZUb+8hfiBfXrBzTwADuEUSiVpX17I2t3fr5heep+w81YuXIFYmOrIDPzWRMwccoe/euvRfjb3+7E7NkLAgI0Zcn95YorF6tcEsCnZ8+e6Mmrpo3ceuutfvlCl7qcy1IXgUhMTCwA+xw1eXmkqOrVowW2QQNnrgLgv17X7t1kjdEp+OhoIsi+9hpZFziJX0gI1dBSyw2cOWMAAs46vXWrUYPKKbSexW48WVmGdYOLTz70EPUzLIwsPXaEYAZ5fD7mvDCRmGXcOFL6bD2bMYOsH/I4q1UDvvrKGKddf/fvNyvooUPJdRYIl+jee2lM/foZfJ1Bg+yV/7BhNP5Zs6x98gdsW7UisvXOnUaJisJC52NmzaK5HDuWXGVyKZDKlQmMhIWZS2LIOYNWrTII+bVqETAE7O+P6Ghq4/BhZ3Dk9CykptI8/hIB5Ewla2hODgHuEyeIayYEWbwYVHq9wBNPPOz7PzLSOu8LF5pBnszFWrt2HQYO7IPt2z93BDRnm/vLFVcuNrkkgI8rF4dkjX8OoUHACAWETJ9Ov3//vXlh1wEWOccLYK8M/vEPc+Xq0FCzgm/alKJ6OnUytnF9r+eeo+N37qQEd5MmWbk5w4fTPitWEMh6+mn7vgwfTq6ToCC9JSk0lPgoAweSq6VHD+r76tU0zowMcpM5gbz69Y3zcdkM2UUxbBiN61//ItdPTg4BKznfR0QEuVs4V8+sWfqoKK+XrpmOFK0DmE65mCpUoN+Dg/UcGzWqKjfX3KfPP6f5UwnXo0ZRu3/8YRCYs7JoW5cuBAbsEgQWFNC5w8KMfDj8G3OG1KSYgHF9cnJovAMGmDk9N91kLs0h10djyqFT8Vi7ueUs0cXFwIvjib+kJkgcOtSDunWFj5g9axa5FSdPNsqLcO4mdd7l7NDqi8dnn63zC2gCyf3lAh9XLiXx+t/FFVfkSsxAilIh+9gxoI3XmrTvxx9JEcr71q5NLpaqVY1ikWpSu+Bgo9gkL/SVK9NCm5tLpv7KlYmTwURm3jcoiJRWURGFkbMbi9/mOWnfo49SOPmHHxKwqFBBX2G7WzcquwCQxUitDp6SQsTqvDyyogBGwVMuC8FlPeySyXHhy5EjSUFu22ZNQDhlCrnA5HNXrUp9mjePXHjHjxPQYpfd229bK7BXrUrzYecmqlFDv79d3wcMoP2uuca/8m/USN+nU6donOp9UlxMFj81WeCpUzQ+9Vpwdfnhw6kvGRnW5IHcl+xsupeysw0yOY8xJobuh6goa9LItDTj/mAwNWUKpSpwusYtWxoRjNynEyfIOvnxxwS8AbqWat7VkBBAiErYsoVAfNWqdAxfZ3bbOrlh5ecrNNQI/3c6jquzy5GlurH5K2bqiisXm1wS5OYLIRcTuflikMWL38G9996DAlCa/J0AdgGoDMoa28gD7AohpcTi9RIw+c9/zG+a7HbSkTg52sqOCMqV3eX2OH/P0qWGZeHjj8nlMmgQWVuYrKrjoHA/P/rIuv2pp4CXXyYAx9Fnskuvfn2DHBsWRsosMpIUYVgYKaWMDOCll8glwtFnamFRwFxvy46AGxlJx8h9LC4mgJafT/lj+FiuJ3XgAM3lyJFEsu3b15n8DRjRTQD1WwjgsccIGHFh08OH6dyhoTSuhg2di7rKBPA1awwFy3mVVDLvqVPA3LnOpOfRoyk1wM6d+r7LqQ7k47Oz6fzskq1bl1xoHFnlNA4Wvu+OHKFrExxMIFYlfYeEUNHUnByaf7k+GBc4bdiwIbZv/xZerz3JvriYABy7QOXr7EQQl4UL8f7wgxcJCW2wbt062+PWr9/ss+SUJbL0Ul/zLqS4c1c2+VNFdV0IcYGPWW6+8Tqs27DOthIzQAtmdjZFv/TuTdyY1atJ+f/8Mynvd981IrmiougNXQhSUG3akPtJVt4srPgbNybFoYt4mTmT9qlYkQBITo6RVJEXd67yLodByyHpO3dS+2xhAkihf/utUXnbTlGooflMSGaOj+ziA+h7dra53hYrKqcop+nTzeTZ2rVpvuLjaWzTp+vrSTHACgqidnRRWe+9Z8xJtWrUxnffAbfeao5Ii46mml379tGxDOACifiSx5OQQOCsUiV9xJRduD5AIEwOy+fIs6goaovdQRwWvnQpWQHleyc62rDWqPNkdw/edhuVxlDBFF9T9Rr7iyYDCGT87W934dtvv7W99vxSILfNrrcePSjyTQ6BZ2AyZswTGDXqfmzf/q3vWCYwDx06MCBAU5bI0kt9zbuQ4s5d2eRPFdXlyoWV3bt3Yt2GdUgCMBKUG78WgPcBTAfdRH+AlFZ6OlkUZs4kJSJzcFipJCXRfuvXGwv5iBHEETlwgL4vXEggh60qbOHZto2UFVdA5zfilSuNqBeZs1GrllEn6n//I0XuL5JMJsMCBHoAqonVpo2eqyGDHq+XFHmtWnRsjRpGJfrMTEoG+OKL9P3bb62cD54PHedFx83p14/azcigsY8aRWBLJbq2bEk8pKFDDRcki6xE5XbvvtvIB6RGKz3/PIEJmcAbGmpNShkdbQBGeaytWxv1zWbN0o9LLYC6dKlxHzHoaduWAO7s2XQdJkyg77/+SpYWOTIuIsK4d266yaiRJc/ToUN0fjvO14oVlJG5YkVjLBwK/957NH626lSsaIAbJ3Lz3r17cP31PfDtt9/aup4qVTJn6R42jKyE771HY1m50jzvnJQ0OjoGeXmfa6NCnZKZynKxRJa64kp5iGvxsRHX4mNITs7rePDBkdgK4EEAHwOQOJ+oBOA4DAvL7t1EvN29m6KBOKHdyJFGJFbTprQ/Z2hmxT19OrmX5Dd5LuJ4xRVURsDujbhSJWqP37B5vwMHCIyxBcTuzXv0aCMkfdQoUqKnTlHiPk7S2KgRZfg9ccI4nkFPWhpZuh55hBTzwYPwuS7+/neydn31lfU4FtnaEBdnhHoDRvI9u76PH09zzlYPJ3eTbFli8Zfw0a697GyyNKWm0j0+YQLNldp/1UVXowYBJw71tjt/WBhFrzFgGjzYPhEgW5zCw/XuQMBwfbGLy25cISF0btVyJQSQmAh88olxTFISARKnXD1t29K9K1tkuL1Dh1BS5DMHEye+7JgcUgaBqivLeLFIxIQJE5GU1AKByrkANJfymnehxZ27skmgFh+X3OyKrRw4UIRru3bEgw+OBABsBXAUgNdj3q/YC4SAlFiDBmRh+fprAgejR5MlJyGBFuU9e2j7xo0EICIjDS4NQG/4p09bSaUnT/qvlRQcTCHqAIEKJk4fOULRPFxx246kmZVlEE/j4shiMHUqjYGtRgMHUjtZWZQ4ccwYAlwJCQS4/vMf4ruw+6S4mHINPfWUAXrYIiUEkVqbNCFLxBtv0JiTkgzgl5FBYIUtUHZ95/IYnGTQKYKM/7/6auN3u3b/8hfn9oYMMUKxhaC58XrNoCc01AxEIiLILTNnjv/zHz9uJgSfPGklqk+ZQvOclUVtHz9u3D9JSeS25LD5zEwCan376seVmEj9P33aSp4+cYK2MehhV9d77xEwVSvQZ2YC991H13v9euLpyO0dPkzz0q5dCurWrYcPP8y1Jdk7Rdbxddi3j8f9DSZM8F/SByBr7sqVlBWxS5drSwV6+Ng9e3YFfIwrrlwM4gIfV7Syd+8eJDauhy1btwAAPAAGeoF1AP4oeQNJS6O38bAIoDjICB1mwBIdTYpn/XqK+mHSMv/+xx/kAnrqKSNj7scf01uxqthOnAC48oidkjx8mDIWA2RJURXNH3+Q1UiNJGPFEhJitLlxI23jiKycHAIoHFlzzz3kWpswgYDV9u1kxcjNNVtKAAJLqakECgYNIt4TRyi9+SaF5XOiuVq1aA7q1aPzv/YaWWgqVaK51CnF0FBjXrlQpt0c1atn/P/jj/SXEz7K7XLagZ9+cm4vL88YS1AQXSt2izHwqFiRQMn48TT+M2cI9K5ZQ7+HhlrPz9FHiYl0nuxsOh5wjhrjGmytWxtRbnFxZPWT771du2jc48aZidH9+xv937eP+h0eTvdBjx6Ga7ZVKwM88dzk5JBlp18/Kl47Zgzd30IQib9tW7o/x46l39gKdc8992H37p3Ytu1bxMdbo7+uvNI5so7n5/77CXxNnHgGH3200hGQHDhQhLvuuhUpKS3Rp8/taNu2Be6661YcPHjA9pjyONYVVy4GcV1dNnK5u7oa1q+FM7//jqkAOgLo4QUKIvT1lDp1ooXczkTP1drtTPUrVpDFgsmvTm6X+HiyhsguiBEjyHX2ySdGtI+c/G/4cKpDxfVqZdcHfwesda24fMbChWTB2LyZ3F4FBaRkVJI0R9/ccgu5tZKTSelt305KWD5nejrxMu6/Xz/mvDya1yuvJNcgi0ro5ey8cpI6tYQI5xtq3pwA2/DhBNY4t9GhQ7RN7l9qKkUWNWtG4KOgwFo7KiWFODfytQSM67x8OXD99WaytTr3HToQYFqzxnpNuCr8TTeRYj9wwPk+y883ODXs1kxPN/axi3jyeikzcpcuZIHzFx0VFGTkGAoKMkdyvfkmJXGMjISlVMShQ2bXJrv/1q/fjK1bv8K9994DwEiAyZKeTmBu0yZzVKBKSB8+nO45JvkvWPA2unS5FjpRa+7R8xxY/b9Aj73U1ryLSdy5K5u4UV1nKZcz8Fm16iP07t3TF8GVD6AB7BUC80tk5V1URNW55crgiYmUFZcTwDGgiY8npcUiE23l87CoylMGEVWqGJl9OQomLc2w1HBh1SeeINfYkSP+616p52Q+UqD7A9a6XCNHGlFYfKzcVkYGAYjVqwkAyWHZO3eSJYgzRaug6euvaQ5VIMHfeV4yM4lAHhREdb0aNSLyuHwdtmwh69fo0WYLQ1oa5eRRryVL9epGXiOef44+U8FiSgpZmK67jkBy27Z0rzz9tDkyjUPco6PV6CU6ZulSMwjas4eAl26OuL8ZGZQU8tgxAhfFxUYkopquYPx4ShDJmagZxERFEeCVxYmnIxdxPXkyGFu37kbv3jfjyy+3+CLu1BeMli3JIinPh91zwvenHI4ui13NPV0Y+9kceymteRebuHNXNnE5Pq6UWTZv/gIAWXoAgOkadi4GLpcmm+L79SMLjuxeKCgw3AOAUSPp11/9J4qTE64BpBxYGffpQ2/ZsbGkuHJySHnxgsHus+7dCRxlZJA74cgR4+3daXx165Kyzcmhfo0dS9tr1qS6T+wq4f0TE0kZZmYSjyUri9xc//kPKd/u3UmRMujRuZo4G/YPPxCwmzmTosreeIPa4VIR6rwDxCUqLibrCEvr1mQRCA+nefF6aR7S0wlwBAWR60u9DjVqkFuHOUTsbho40FC4fC35b04OAcmSesH4+GMifDP4lN2YkyaRMq9Yka7x22/T/yNHkoVO7k/FirSwNW9uTXb44ouG669CBQIXcpk+OzfRkCHUB66PxpGI6ekETOUSEQ89RFmVx483W26OHyeQJIuTO65WLbLMDBkCnDjxB1q2aIQvv9yCsDBqV+UwTZxIiTZfecW49wCy9MjXgM/xxBMUam4HehYvfsexj5y4UCeBZHF2xZWLXYIvdAdcufikRYtWAIA1AJIB/FCy3S4cd+FCoGIQgYotW0iBOYWNr1lDyoxrJNkVB2ULQlISvb0nJdFiz0Uy5fpYbNHgc771FilzIYxMxfRGag1fvvJKci2o43vzTfor5+5JTydluGGDOVSfrU4AAY+kJKNoKo8hN5dA0t//bihzLvo5bJg1vHzbNtr+5JNkdZGBTHAwKb02bfTlHpKSiH/Vti39PmwY9blZM3KvFBUZVoWFC6mvTrXEmBx81VUGiVct3ZGebihEOcQdIAsQYK8w+W9QkD6Xkdyf9HQChl9+SSVJ8vIMLladOuQSk8PUb7rJvrxF/foEqACj7IdsbeFUCWlpBPZGjjQi+h58EGjRgqxUDN65fITds1K1qhlMAcDRY0cBBJaBefJkcq0dPWp/jhMngNOn/8DBgwd8OXYOHCjCsPsH4aNVRti63fFOmZjlLM6lPdYVVy4WcYGPKxbp3LkrqkRHY9DBg+Bcb7qK50wKPn4cCClxGzEQAfwrucqVnfdjYTDFZn25SObttxNwYGXEbWVlmd/KFy50BmOpqYYyT0wkkquciG7WLLIA/PYbWRR0CvLDDylSqqDADGzYXeH1kiVK7UenTsQXycoii4BchHToUAIlah6dESNIwXfpAixbZnUFFhUZhU4jIsh68M03RmRZVpZx/saNna/DunXUFtfUevFFa66etDRz7iM+tn17KqTKLjQ7hZmdTVa1v/2NlLpTfx5+mCxX6enk+tq0iUBDcTEBHsA8vx9/TBYWXdZluQ9C2IO/YcOouvz//mcA0Ouvp+t98iRZ5Pi49HR9jbSkJHLf6cD30aNGtmmnQrgA3UsvvWQGn2++SURtj4cA2qJFn5oKjf6tfx98vXEDsgD0AnCT9nn2IimpKQoKvrMNbY+Lq4+uXbtg5MjVEMKc9LBr105ubh9XLglxOT42cjlzfADgxvSu+PaLz33k5o4e4CelvESFEKD+aWC715xmny0IdjyAe+6hrMDTplmLWsr7jRlj1Luy42jUr09z+7//GW1xtmaWtDRKlHfkiH07CxeSWyo3l9qrXNnIkJybSxYCeewyECsqIgCiZuzV8S+4YKncjw8+MIpr2pG6/fGJIiIIEDIvZ8YMclENHEhK99gxAlVyH1n5//prYCUPunWjvx9+aGzjvEH+cswAROYNCrLyc1q0oN8//pjGIedNsstezUAHIMB0+jRxYDiNQF6eGTgxWbxuXRrvtGlma9WRI9SG0zVQieXp6ZRioXdv83EHDhAgl/ltNWrQOY4edZ7npCRqSyUxHz5M2aIfesjgffG1Vvlkqank/r3/fmD58lV45JH/w+bNW4x+e4EpxUBPL7Cl5Dgd4b+4WJ+dOdAszpfamncxiTt3ZROX4+NKmWXVqo+w4YvPcR+AWADbAewT9Fabn28UCp05C/gvaIF87DGDlzB6tD70esQIWlBnzyZAc+wYARc1vJzdEMOHG32y42j89BO5YqpXJwU6bBhZD2Tp3dtQrnbtfPutYTUSgpTU/PmkZN97z8iErOMr3XmnnEPFCIXu3ds4D1srdOHm7EZyCld2sooVFxNY6NyZQN+ECfT9449pXiZPJmuC3PecHLI89O1Lliy7UPmgIHKrRUSQFWzmTBpDWBiBuocfpj489ZR9mP3WrdT+oUPWFAPR0XQf5OUZxWTlvElqiHtqKin04mLgmWfoc/Ag9ZNTIvD89OhhZAL//nu69woLKdRc7sPvvxupDOyuQaNGRhkUef6mTbMeFxND4B6gezE/3xyl5XQtv/2W7jm5f0eOGPwjwOB9FRQQj0otpvr11+TqBYCePbtj9+4tpt/XRgD3eYH3SoBOvXp1ER3t1aai2LRpFXr3vtkUGs9ZnCnp4ttYv34z5s9fZFu6whVXLjZxLT42cjlafHQ8AC+MLM1q1NYtt5gz2LIFISZGH1mkZu/1ncNrjdLKyTGKjiYkkEVHLpL5wgu0/eefzcny5GzIdeuSwgsPJyvD1KmkWCZPNr9NHz1K51fdVyNHUpg8E3Z1b+nLlxM52CnEmktgcGj/7NnWelaDB1OuHrVvCQmGa0TXft++BNDk+VMtE1zY0q6NzEwqOlqhAllDWJhLMmMGzf1vvxm/qTWuODJOvqYcZs/10Z5/nhSybAnha89/+R7bs4dy/cjj4BpsuvvGrrgnh/CPHEkA7tAhcz8bNgTuuouIw7//bq1hNmoUpUdYs8Z+/uyyPB89Svdp797kimIXmT/LGmBE3jVuDPz3v0ClShVQocIp3/bx44HXX3e+rvJ37XUHkOFvn0yDq9a1cxdMm2Ffmwsg8vS+fXtRp05dxMXVu+jXvItVLgV9cTGKG85+lnIhgI+8aJwvX7l8zscfycDmNasx6cwZdASRm0cCqA7gW5gXxx49iLuhy+sjhxWPGUNurUcfJeUYHGxWmFxJ2+slxTZ2LCkKVjq1axOwOXbMzNlhJagW7XzgAVJscpV4tY6WXZi3kwKxc4Hccw8BGadSEldeaYRcT59O29V+dOtGIO7rr819e/VVinTauNEMikaMIOvOqVPk7uDrwPWn5Oty//3Obj51joKDybIDkCuHXSvMQRo/nvqpFnr1eg0LC8/Z8eOGG23+fGvuIy6yumuX2e3JYOnRR+n++fVXsu7Urk33FwObBg3sUwLI1y8khID6pk0EquyqtqsAzs6dJc9f3bp0HX74wfhNBnRCGBGGHNqvurLk8HiAQOgff+jvVbUQqlylffduc4Fd+Xe132EeD+KbNsOWrV/Z7jNnDo0/A8DMoCA0aNUaI//+D8sadeBAEYYNG2Ryf7Vvn4IlS5bizJlgV3mXUlzgUzZxXV2XkFyITKgHDhThrt7mc360aiUmnTmDu0FFSO8GMBEEehK8hiskL4/cXbqw29xcUpBMfJ4wgcDP6dOkUNXszZUrG9XC4+NJIbGJ/+BBWuArVjRnA87JIQXl9ZpdUnffTW6jSpXM+4aH076DBpHFh911mZlmxeLkgrBzgcye7fz7ww8bYzl92kjiFxxsDsnv35/6GxJibGvQgObuttvIVSe7P9q1A557jvbj68CZitXr8uSTzn186CGyxiUmGmUfZs0yrC2cpLBXL5rfvDxzWHrVqsRxOnCAjp871zgfW+Nq1qSxq+HsEydSn596iuZl5Ei6LrzvP/5Bc/OPf5BFhUuhcCj8+vVG6Q276+fx0Nz/+98EerxemkMGPfK+J08aYfCDBpEliFMp2M3fnj0G6AkOJpIxuz6jogjEcJmS1FSaQ7V0BbtSV6+m83q99FzwtowMela8XnK95udTlBdAc9Wjh1EuhkuIsNx0kxmQcr+vjm+A8ZmvOI6NczHdAaD2mTNYt2GdsUb1NtaoYcMGYfPm1abn7ptv1iGhYf1yW8fcEhmulJsIV7Ty66+HxP795ff59ddDtu127dpFxMYGiZwciIICiJwciNjYING1a5dy7YPpnJ27iNigIJEDiAJAZFDRdVFgvKAKUfIdgJgGCK+X/udPQQGEEManoMD4LSQEYtw4Got8TFaW+Zi5c2n7Qw/R9/x8iNdeo20ZGRD//jf9n5OjPy4rCyI2FiI9HWLHDv2+EybQ9vBwOq6ggP5GRVE/uW925/B4aF/1WJ4PrxciJsb8e2wsRFISRHQ0RNu21HZMDESFCnTMiBHW+WzaFKJDB/O20FDzd3kOc3PN10H9Ll8Xr9c6Bp43eaz5+cb/ISEQkZE0bzw/8jl27YKoUUPfXz4fz31GhvM9M2cO/U1O9n9/Pfus+fs//+l8/SIjYXq2oqLo2uj25b7LY0pLg2jSRH8PBAdDzJhhtB0TY8yp2i7PI3/q1qVtXi/E9OkQXbvSvSbvU6WK+bvXCzFyJF2H/Hw6V2gonVceY0wM9Vser3rvrl+/2bT+6O7v0FCIbh6IdEDEAr71IgcQsUFBomvnLmLduk2O89+uTcpZrVU7duwTXbt2Mc1D165dRH7+dwEdv27dJrFgwdu+8V4KHyd94X78z5s/cS0+F1h2796Jjz5aiUmTzihvwv7r7ZzVORXrzuCS35QXPzC/9igM60go7+tAxj19miwNWVnmt8/Ro82kU37TPn2a/tavT9YBgFwZgdRnYksT94f3LSqiczG34sgRMtvzm3bFiuQ+4lBtuxpeQpBVQ35Lr1OHLBU5OfSWf/So+fe2bYnLMnkyWSVatyYLBbvgbrvNnGQwK4tcWo88QiU8Ro+m7U2bGtYCgPrzzDN0XrXoqhNJuriYcvCofeSQbl0R05AQsq4EBxvpDFatot/eeotC1VXCb8WKxP/ZsoXmaMwYw2Vn1zfAsCzMm0fjc9r38cfNuXB69KD7QLZIZmQY12/aNGvtty1baM7VJJkcISePadMmCsdXr3GdOmSF4cSUckJGNakl14LjdjMzybXJ0Wnz5pmTbgJGtJrcF+aGcYLFnTvJSsW5sOR+fPwx3Xc8Xu730SNAk4QmWLv2U+TkzMGYMU+gRYtOprG1bEnXrFJF4JgHyAUwCTBbg8+cwUerVmLdOqoFY/eMrt2wrkzrGFt4Bg7sY7Embd68GkOHDnQ83q0p5oqdBF/oDlzuEkgm1PLm+/jOKW2LB9AWwDDQK1UqCPSMApAE4DkAjUBZnCsCiPfq8/qEhhI/hDkcgwbpScN9+5ILhZWZXCCUFfjChcAXlETaNrdJvXpEPgUo34y8r13CwsOHqUbUokVGxIxc1JSlUSMipfbvT4CARQ7dbtqU2njgAfo+Zw6VYGA3Cl/HL780u844Moejgt5+2wA7AHFBACK21qlD7hSA+lqhgjmUXb4OHJ2lyyGzciW5cTZutIaf64qYjh1LAILB2rFjRlQa99UuL9LPP9OYs7KojVq1KMO3mt+GAcezzxoFTdmNqe47cqSRSFBOLLhyJbl+zpwhYKvyYji5IQtfh4wMg7iblEQggiPLdGPiCvByriXmBu3cSd9lAFm/vjGXnKize3faX05g6PUSX05XK65uXX1f8vIItHGNNrv1QwayfK4/zgDfbP8GDz440re9QYP6vjmRuU+cLwswrxcArREkhNbsnlGgdOuYLsjCep+dQb9+9GJo167sfjPWntWm/EauXJ7iWnwusMiZUGU5l5lQvSUmGPmU+QCqAjgCoB+A2iV/DwLYAuAEgL4ATgKYCiCvGGh92MpVULkfJ0/65wJVqkR8Bba2fP45Kb+nnqK+paVZQ5vlzLs8V7NmERFW5Ymob/vFxRRmHBNjHPuXv5DS5Sy+AL3lDx9O7dWqZVheqlUzV/ROTzfe1IOCzNwRbp8zDAPUzrBhxL1o2JCOkYuqJiUR4OMQbQY9aWkUYcXVzePiaCyHpeuwZQsBMfW6vPEG/b97N7X//PPWUPG0NMruzHPL4fjMOZFD+hkwOCU9BIw2EhKorw0amPvGPK7Dhw2rxJgxVHPt2DHzvikpBBDZonHyJFk1hg0jIjBnXlYtJP37m/soK2SWLVv8Z04GiOfUvbsV2DIw5rYrVzbmNTjYaFcG49zHsDAz4FItU/K9xuc7epT2efpp+m63fshA9qGHaD6Cg60h8D//vNMHNnXcJ8DeGtyu3TVo1y7Fkg5h1HAgqUTDlGYdG3b/IGxesxo5AObAmDtZ/JXIuBCWdFcuHXGBzwUWIxNqkKLYg2zr7ZytFBcXwwuK2JoOoAuoCOn7AM4AeAhk2l5Rsi0TBHweLTk+E2T5WVFMgGm8r11SCuxiYpKo3aKVkUHWi0cftSq5U6eMvCy9e5Nbxqk+EyuXZ5+lfdmFZHfuRYvo/A88QEr9+++pL2rumTVryMKwfbvhshswwKjjdOCAWclYFv8Si0ZennEuzhN0//1U8T083JojyOu1bt+yhdwqEyeS8iwqMnIGZWXR/h6POTqoa1ejlEduLmUfzs62zufvvxOIkF1gMoFbVcyDS3yjdgo3JcX8ffFiI5M0S+vWlJma752cHLIyrVhB1qHWrc3tLl1qJITk68g5hpiobgceBg82QtJHjqTrzFa10FC6X1580XlMTr/JQMfrpf7xvIaW+IY5e7gKxu+/n353stqo5+PaYHfeaVjH/AHZF1+ktAR//GF1jfELAef/Uc93BcganAPg+5K/wwG0b5uCunXr4fXX30SFCrHmZ/QwsA9edO1M61gg5GTVDd/Wz7zbASq3ppgrjlJq1u9lIueT3Jyf/91ZkfdK+2EyYhIgvICIAESSQuhM90IUKQTnRIVk2woQGwExV9qWk0OEy9hYiMxMZ9Kp/KlUif6OH2+QYfPzIVJTDeJwXh7E8OFmQjJKCJ8zZhjnnTvXIFUHcu4mTawEZ25LR4o1COj0nbcvXGglxqanQ2zdSv8zEVYmdAM0T0xWVYnbur4HMjaPhwjU//63tU9eL0S3bhAbNxqkYu7f2LFmgmtQEERYmJ5snJamJ/xGRFjbCA2l/1UCbmgoRPv2+nlr2tRMrLYbq0q6tiPc89g9HiI8P/wwbYuLM/+uG1OFCnSNVRJ7dLS572lpBjGcrwO3azePq1c7jzEz09yX1FTrPs2aWccpz+Xnn9Mc8fNlN0+VKkGMHk3PmkriV9v1AiI7+3XTOtauTYr5Ol53ndi48auA17cFC96m/sEIsEj3QsRaiPnOwR/+CNcXO9HZJTef3bz5EzePj41ciDw+e/bssq2RUxZxygt0V+9bsTFvFX4vLkaSFyiIACbJPJxhQNxhYF4xsAFAfwCVQNagPC/wscSjCALgAVBcYqU4dMiaj0WXgl9OXPfee+T64ZIOzJUJCrImsktKIqvFr79SRfEhQ8gqEh5O3CHmT3i9FKatJgXkc6elkTXpkUfIciOENfdMIEkJPR6qgRUaSsfZ8UDGjaPK2ePGkRtv6lR6U1eTN774IvFS5swxu2k4t0rPnsC779rnZ4mLM8LIPR6aA7Wu2LFjFILepw/1LSuLSMU8N4CR04aT2KnzwbXE5P5zPiC+rpxwj+dPN5/t2hGXSe7j0KHGfcT5f+R7aNQosv7s3h3YNWNODHO8uM9y/iKALHl79xpke76PADpG3V++F+vVIwsLJ93cvp2siMyR4rnQ9XHAAGtSy+HDaf7VpI1Dh5KFinlPv/9OaRoAsg7997+GK3LsWOqTzClyuhaycNoF5ibJ60KvYsrts379ZsvaIq9jbdo0xzXXtMO2bRsweXKxxLUJQosWnSxcm927dyIlpSVyQARqADgAIM1rlNcA9CUyVLnrrluxefNqTJxorimmO+/FJm4en7JJoHl8XIuPjZxPi095f3bs2Ce6dlbesDqb37Dy878TSc0SLZYO3Rt1sPI2XqECREKC9S09PJysBpDeKIuK6I1T3i8piawgbEXxeMjC066dEe7NnypVyLKSlUXWiYQE8xs5h0vL/c/Phxg40DiX3bk5nLu01oPcXKs1QbYURUeb307ZspGWRvssW0bH8FjMaQyMPttZfNhyoLtmHo81BD4pia6DXYh11ap6ixG3U1Bgtqap4fD5+WQl4D5lZJBFJSHB3A8na4w6Fm6voEB/D7VoAbFkid5Kp869Lrw8L8+w1qlWPbZy3XYbxLx5xvZ69ejYMWPIMta0qT5FAF8/j4fuBW4/M5OeGd394fFYn6fUVApzByiEfcwYq7UyNJSeGdVCVa1arEhNTdWGurP1TbVchYZa5yI6Wn/vRHm9omtnw+KiCxnPz98nOl5zje8a7dhhWDadLC+camNuieVnLih0vl2bFL9h6XI/zrcl/VLVF3+mT6AWHxf42MilDHzUHD05MHJuyPstW/axX6VU12NVDqGh+twhsllcVWScx0VW5oWFVmBSoQJEfLy94i4qgmjY0AqO5IX81Vepf+y2GDHCGUjk5RnnlnPP2IFB1SUVEmK4QJYs0bttWIHxsZyfhV166jl0uYF4fvljl1tIvS5yvh4VcHBf8/ON7bffTn/vuMOYBx34SE83rovqUuK2r7jCHtzIQCsQ948MsFJT6Xh5HrZutd5PaWlmxc395FxRap9efdX5+ql5doKCrPuya1Nun5V+fLwVmIaGkusxOpqAqJOrST1Wl/updetkkZ//nVi+fJVljIWF5NrVuT9nzNBfH9m1xvOX1CxRLF++SmRnzxbt25vdWwwuunbuIsK9Xt91UK8LPduJFiDCx5ra7OwMWJxy/axfv9nN43OZfAIFPm44+59MmBwom4rvBiDOnEG/Vebwz6zxzyEEwGnYh6LuEUCOFN6bnGyk9H/uOX2obe3aFGb7009G+QnO49Krl3GOfv0M4i5XQR8+nFxJLElJRN7t25cyAvfrZ5j1AaPwZGiotVr5pElEKJ0yxXru/HzD3bFkCf09dYqiujj3jF1YeMWK5jw/TzxBrjrZVZCXR5E37O76/nvaPmkSzU3lytTvzEz6cH0yJl8WF9OxcpthYXTu2rVpDg4dMv/esCG5PZi4ql4XDrmWybphYeT22rWL+gNQ5JTXS5mOg4JoHqZMoXIbkydTf+3C4bOyqCr80qV0zffvNwqdquHpPH/Fxdb7j4uKytdgwwaK3GOy+KZNZNrmqDaW+Hg65/btREyPibH2kyP0VPLrv/+tT7/A7qaQEODGG8ndKAT176qraNyya5OlWTNzziGA+iZLQgIVkz14kMaWlUUfgO7rV181XE3DhpEbrkoxUBPAl1KJk/DwMLz7bi6SkloAAIqKCk1jzM+nOf7+e4ryq1ULeP99uqYnTtC9xfcIYNyLeXnWeycsPAzXXdfZlPdIDhn/29/uxNq165AJ4CEvpTaQ9+GCxXv3fm0JL4+OjsH8hYtK5fr3F7p+vkoAuXKJSOnsIJePXKoWHx05UMAgKC9Y8LbYv98g/80ARA2N9SA2CiLZa34bLyw0Z9aF8ta/dav+TRKAqFnT+gYsfxeC3iydXD+pqXrCsddL/6tZn/PzjfPwuQoLrZaL0FCI5s2NsTZtSv83aOD8dn/VVfrsy+q45Ldndmnoxqm63fLz6SMTkNXsv40aESE1JASiVi1n692cOWbXm3y+MWOoT6GhlFGY+7dggXXcNWpYXUpRUTR2dW69Xoi//53aUOeqUSMihLdurbde6dw/skXF4yErRY0aNC89exrj37FDbzVjt9Kzz1qvk13mb/naqfPABOkxY8x9r1qVLRr6ezYxEWLoUGubaWlEOrezSHFfbgHECEAMLjluUMnft95aJBYseFssX75KNG+eJACyVtlZ6woLrS5J/k2+F8ePN0jF1arFitjYoICCF1bDeR9u42ysMZc6kflC6otLMat1IPPmT1yLz59MfHmBYFh8ACPnRlBQEFauXIGffvoJANAdwB3FQCflrTndCzxdDLSGOSHg7t3q252RjLB/f30StsOHqbp6aCiFdG/ZQrlwAPPbqFoFXbZWAM6/16pFuV+ys+k3tqQkJ9N3zgVUu7bZysR9lLMgP/44Wao+/JDehPktNz7eXP/p11/11oHoaKu1iMPat2yh7XZJ8j79lOapSxd6w969m44FzPWb5PM1aEDtslXJzno3YIDRTpcu1M6RI7RtwgQj1J7zBr32GhGPz5yhzMJPP00WnLFjKexZvl/YcqNLGPnZZ1RJXCXP9uhB1dP/8Q+DZM2SnEwh6PfdR9aPyEiac7b8ANTXhQuBZcsodcK77xrjj42l/jRvbm63WjU67vHH6fugQTQH6enGvWMXAs35puSxTZhgzF9WFp0zNZXSJdxyC+2XkUGh+Rw6ztd661Y98fypp+hYp74sNm/GRi/gKQZ69brVdz0iIuieGzXKyMGkPrcABQ6ov6Wl0XPC9+xDD1GbrVq1wOefb0RODs2xUx8BoKTMm+0+1avT37NJ1HohksBe6qIrKhsIYfxPI2dlFvkTy6Vq8dm/X08OjPZ6RbXYWNObHUD8HwGIHSXf6wIiquSYAlCYeyC8FyZeOr39sTWEPzKvINBwZLvfMzL0IegxMcZ5OnZ07mPbtkTKZWJ0IKHwdvtERFitAzL3w24cHg9xjaZPp22RkTT/gaYGSEvTW2PYcnLddRArVliPHzGCOFBRURApKXpS+J49VstBXJzZamHXP+ZRAWTtkNto25b+ZmVZw/p1ZO3QUOK18PVl/tKKFRB/+Yv1fs3Pp3Y5NYIdL83fGJw4YjIBmq2jLVqY201NJUuKE6mb2xw0yPn3sDDrOII9EI285rY//9z/feN0D0dFGTW/YmO9PisSW9Wcjm/XJkVElXB8XIvPxaUvLkR9yPM5b/7kkklgeP/996NTp05o2rQprrnmGmRkZOAXOcYZwLfffou77roLTZs2RWpqKrL5Fe4yk2kzZqFFx06mDMwh0dE48/vvyAFQAEpAFgpKQpYDClVPAvAbgCthZG/eUgwcPew/ISC/+dr97vVS6HmOklWXMzKrdadYVE6G3e9Tp+qTw02aRG/ho0cbCfHs+rhhA/FmZs2i74MGUci2XLsrNJTelLmemF1b//qXUQV+zBjjrZrFbhydO9NY77+frFOHDtHYGjd2Ph+LLtnj4cMGb2P5cuDaa8ni8/DDwD330PbJk2mOqlalrMt79xppBbKy6HvPnsTzycyk6xUfT9e1cmX/mZyZR+X1mhM15uQYySGffJJCsWUOVWQkWVrk/StVIitUbCwlv+Q6bb/8QryqI0fMPK0NGyhpX16efeI+APjrX41jcpRkgF6vmSMmj42zKE+ZQlyprCzgjjvIcib3e8sW4vPIfB+7+Zo5k855//00t3LyRa+X5iY21qhUP2UKUOwBfowwX4vffvN/39j9dvgw3XecLXvixGJ8+eUWANSf+HiylFmzqlPy1Tk5b6J9t27aOR0+nCyjzz3nPetErRciCeylLG5Wa+CSyePz+uuvIykpCdWqVcMvv/yCCSWa9s033wQAHDlyBNdddx1SUlJw3333IT8/H48++igeffRR9Oa8+aWQC5HHp7yFyYFBQUHo1etW5ABIBmVdrgfgYwAPgF77WBgJF0vfIwBU9QC7hX3+j0oVgeMnnPOD+MsdwuZ5NZfJ0aNE3N25k5SempenXj0i+x49ap/bJpB8MpGRVFpCddOxYmR3jix2beXnk+tNrcsUEUH9jIoiUKbLL1StGv3+/fdEJA8kTw1AbrDwcJq/2rUJbGRnE5A4fZrOxyTyUaMMkjpg5DQaM4b6UakS9ZOFXR4saj4bnjO7/oWH0/m46CbvU1REIExum+eZ/8r1o5z2536+8QZlf37iCSIjHzpkXH+7+yMsjMBR5cp03eRsyXyN7Ma2fDnw3XeUC+qhh8y/6/YPCSEX3Oef2+8zbhy5Wj/5xDzO4GCaQ3kNSU8ngHTTTXR8crJxr8j/l+W5bNWKarvJc+Xx0Dzdfz/NzRNPmK8Hu0xiYmKwZ892tGnTRpv/aOdOwOsNwzvvGITs0oicpyw2tgqGDh34p3Hd+NMXTjna/MnKlSvQp8/tts/CggVvo0uXa89yBBdG/vR5fD766CPRoEEDcerUKSGEEPPmzRPJycni5MmTvn0yMzPFddddV6b2L2VXl/phwnOa4qappnwPA0QoIGJKXGCrS7ZnlvyNjrYPoeYcJToyaf36zu6dtDQi1ALOuUzGjrX+rrpB/BFTdWHg7A6zO1Y9Z1oauc50+VA4i7MQ5FoLDycXCZuTOdOvLtcO5xdiArPqPtTlqeG8M14vucVUFxWHzctjS0+3D3nnMYeHG1mqp0/Xu5tmzDAfb0d65r7xsfJ9YJchm+dczUDcrZv9/rIrascOI/R90iT/9we7XDZuNBPiuU27HEHVqtkT+p3cmXxtwsOtmZmTkuznJSiI5lK9dvz88Dn5+AkTyLUoP5cTJpCrLCSEXHNOuYgAa/qGVq2s423dOllkZ79uciv9+ushkdyihQiX5jI3l9xvqstUza/jRLr9s4Wul0ZfOI090Lb/jK5Bdd78ySUJfA4cOCBGjRol7rzzTt+2jIwM8cADD5j2W7dunYiPjxcHDx4s9Tn+TMBn3bpNwisBmgJQuYqIkr9QPsz7yS35PgdG4jVVsXLED0ceqfk6QkOpzITTg6ZGOWVlkULg/CFyVJK64MoJ4jghna6EArevy/XCUS06ReUUgTV9ulXp1aihT96nRsrIv6vcETl5X40aznlqQkKsuZOY08LKXB6bP14Gc3G4D/n5eqBklxgwNVUPAmSFz+f215esLDoPc0yiopz3X7JEH7XHQLJaNf39ERNj3GPZ2QZw4FxVPPfqNQ0Ods5nZdfP8HBrdJ4M9N57z/+8+OPr7N5N946uffm8nTsb88qfpCR6rvhZHj+e7ofISAPcmu8Fr5Ybsn49KdgM5R7UgTrml+zYsU+kKGUv1Bw+f1Z+SiD6orzGzu2UpgzIpfD5UwKfCRMmiMTERBEfHy969eolioqKfL/dc8894oknnjDtv3PnThEfHy927dpV6nP99htNYnl9fvvt0Dlp199n/fpN4uWXJ5kADROZkwARK4Eh3wKl7DdGWVR1ilUm3/LvGzcaijooSK90uKaR3SIvZ3llwucrrxhvuLISXbjQqpz4O++nU4wycJCzy/ojdDNIaNLEeHPfutWwjOnAEivYihUhrr1WD7jk5H179pgVmB2YsANuqkL0RyJnwMNj8xdWzdYA+fjwcOpj5cpWsClb3BjIOmXIls8jA0Ld/nXrWpWqfI+yUtd95/0GDTKsXBUq2AMG+eMEcHSZrmUAIwNJ7gsn+3RKS6Db3qKFYZVKS6M2MzNp/zFjCKip92V0NB2nhtWnp0O89JLemjVunL2lQF573nyTLM2rpXnyB3ZjYqLM18dLgRldO3fxrWdOx6t9uFQ/On1RnmPfuVOf1Xrnzu8u+NjLY978yQUFPpmZmSI+Pt7xI4OWwsJCsWfPHvHpp5+KO++8UwwZMkQUFxcLIcof+FzqUlhYKNKvu850YzOgeU1etEu2yUBH3pYO+EzVdgtxZQ/l/eGcJSq4qeAlq4vqLvF6Ifr29a+Io6PNC3NkpFHUdOtWK5CR91WVq5NrRe0fl8/wBxI2brT2wW5x0pUd0GVvVt2GY8YQSKxSBWLAAIh77glcActgw19BzKgos3LOzvYPTlSrQ1KS4XZT51yX2doJVMnn8dd3XXsM9DiSrKDAAOZy+wzWVOW/cSPElVdaAQOXDXGaGy7fIrcnR3Xx3Mlj4AKqTuO0s/i89poZ2Kkgzyk7szr2pCQjk7nuWdFl7c7NzfWtPzt27BCvvfaabz3hQqP+wGtYmAHWsrJK1hUv3w/5Ijc318/9aPShtLJjxw6Rm5sr8vPzy9zGuWzzXIyd57Q8x3wpyAUFPoWFhWLXrl2OH5mzI8tPP/0k4uPjxebNm4UQ5e/qutQtPl07dxHRXq/JlTW9BMjowBB/0mAOZ58OiBA/CkoGG+oC2rzkr46fAxjVop3aVhVIaChZE3iB1gEZtiTJlih/b5vh4aV3WbByF4IUKZdokBenHTsgpk61vlVXq2b+3rYtuQXDw8mKJIMpO8sDf2/QwFoDivtft645hNyp3EVaGlk7mGviD2xwaYXoaEpuqfJBli83H89AJC/PCDG3qwGmgiAGhDpOiuxiVeceICuF0zhCQqhWXJMmpHwzMuiaqZZF/rA10KlNvkftypLI22T+j5zkUuUUseVULmsRG2u+L7iOnu654Hpx8nl17lx/9z4DZNXikJ9v5aCEBkG8BIg0r/85a9TICsD4f+LulL/FR9fns7V+nG2b59ri82f9XBIWn7ORH3/8UcTHx4v169cLIQxyM5OdhRDipZde+lORmwPNssnktSQYrqw0mInLbXkBUoDPdEB4FHBSxUZZRkeZF1z5/6mAyAdEvMd4446IsL6FOpGiuSaVjl/i9Vo5I+pCwEqVwZG/t82MDH07kZFWkMAKKjTUIKeqylDnVlMLtMbFkRVEnZcOHeiNOjWV3rzZFWJnrbLLd9OkiUGKDQ+nMb7/vj1XSwc2nYCSvE+1auSak+d07FjznKvg06mILd8HaWnG/3bZnJkAr7sfuJhoUpJ9/bPoaCug9HoNy44d/0vmAcltstXMbu5kwCwDqbAwiNq1yXoTF2fuU/v21hcHj4euMUBW0MxMA+T6c0/K53UCtrpnhbNkZ2bSeNq3TxH79x8SKSkpIjzcqyX0c5+joyJETIxXed69IihIx/0xjuV1LxB+SmkyEp8LztDZtmmnL3Rj53v4UinAei4/PG/+5JIAPlu2bBFz584V27ZtEz/88INYu3at6N27t+jatavPInTo0CHRrl07kZGRIfLz88XSpUtFYmKiePPNN8t0zosJ+ARSbV3+cBSXDGw+13xnwjNbd14tAUcq6IkElbZIUxSOGtkTE1WS8BAQDQFRRbFwqIqbychNmuiVtr+3Q/7YAZlXXjEiUOSFt7SLvGpxUkGCDMIAI4mgDqjorBkeTSHYmBgzUTiQBIYyv0rmRtkll+Q2Z8zQu59krpbKnWISd0aGOYFfjRrmfunOzWRpefEOD6d5VRM/yv1iIKBayho2JKVfqxZE9eqGu4TbrlDBuJ90FjPd/LO7yd+8t2tnbbN9e7NLS71fODLLjrCucrimTqVIKOZ6qecLDiZLifoMrV5tTggpu2hXr6a/FSvqnyG29A0e7Pzseb0QVapEi88//0q0a2cmJauE/pdfnmxbNZ0TI9rNc/PEJN/65lR1vbRRT+ciwqk82rTTF7qxc5Tpn4GcXF561p9cEsDn22+/Ff369ROtW7cWTZo0EZ07dxZPPvmk+Pnnn037bd++XfTp00c0adJEdOjQQcyYMaPM57yYgE+g1dbVBw8wXFm5Nt/lEHcvIKIB03miQJYjUfLJB8RAPwBiLCCCvKSMVFAgHyNXWlfdQKGhFGrrBGx40fYHjADD7eBkvbBrh/lEAClVHUiRlc64cf6zRMv8Et1+svUI8E8E5gVQV4n8wQedj2VLWHS01ULDH3ZJjh9vdV+pYxszxgj11s25Ljze6yXLTGwsxEMPUZ8feogAEfNe+H5iC6A/0KCCXQZyK1YYY7abf9k6aJdGIDSU/s/LI1J0pUrmSuY8H5yZ2uOh8cyYYbjm7NxMISEG0MvIIDciW4p0Vr/27c33vZNVTAf+mPvjZKWUrVXyuVNTU0XXrl1ETIxXC975PuM6gfyRQ899NQZt7tEmTZpYwAsfx/XJ1q/fXGpLi7/zqn0O5FMebTrpC17f7Vyol3I4ennpWX9ySQCfCyEXC/DxvT1I4EOArDRONzmHhKqRXLrv+TAIz3bnyZe2zYFZOXIkFEcC1Sn5PSGBFkbmV8jHOEVX8f/+eBlZWc5KSbUs5eSQC0lnXeK3fn/uHF1/Xn3VqkxYaQUSseRvXgD/loeEBPsQc3/lRNjaMngw7SMvqhs2WAvTshXNbmzsBrS7tqyIN26keWBQxeNQlS5gcLbkcdiVKJHD32vX9g8Ydb/L3CadO87rpXtJvY+41IjsErUDWP4ApHosvyRkZlpLewDG86cDUwzOdRGH0dEGiONoMJ07la+HDK5Vi6PdvQlAtGuXIpYvX6V1QfmzkkRFWUPmddYdpzZ0a+WlZvHZv//cgLU/y8cFPmcpFwvwCbTauvrJz/9OVIuNNdfdAmy/+8CMzXlypW0TSrbpqj7bReyoFhCd0mIuQOXKxuIdH28PSAoK7JUSv8HKnBL5f9UlZMeRYeWTlGRYftQFJy2t9OTQzEwzf4H716qVtS1OlMhAUiX2qiHZTHqV588unYAazaZePz5O5wZyIgqzdUPmerDVTY1KYuuW7lw8R0w45vn3R1SXXX2BgAvd7zyGMWOMkHBO/KfeR3LqBv6oLjmvlywnfA5/qQXUelz8XKgAkmvAyVYsfy5Ru9/8/a7rK8+h0ziio61cH9UFxVYjHdGd+/DWW4tN+8vWHX9pAF5+eZIWdAWa06Y0vCHmOsku1/Lg+HA/yhus/Vk+LvA5S7lYgE9ZLT779x8Sy5evEo0aNDQtapFhlU3fa6hvSzbnySwBQXNB7rAgr33ytmCveaHkHDtVqwZW8LRyZXK5MElTXew5zFw+Xs7zApCiYqXE/bBTNPLbvY4jk5VFCzC/ccvn9aeAdcRoHg9bUnRWKDlcWE6U6KT41ASPDNySkiA+/VRfJNbrJV5NTg4BOJm3o1qZ2LLHhHQ7EMbk84cess4JZ3GWo5Kiogweld08Dhlinmt/oGHsWMMC0qqV3irIhGYmj/Pvr75qzwmKjqb5UoHkhAkEkpKTiZisI+WrpOZAEjjK2xn4qsCQAVdEOESY13lenH7jFAlOxzq5ZJ1AvgrMVRfUjh37RGpqR8t8d+tmLeya3CpZLF++qtTPovyROZJOnCHuW6AcS50VisfUtWsXW4tXafXFnzUBoQt8LrBcCOBj90ahq7buxPHRPajekr9xdeoKAGIQIF4BRKqyTxRgOk8MIKoqi4YX/he7+JLfVdeFnLHWboFly4D8GTzY4EXk5JDC14Vvq0Tk1q0NJbJsmb7P/qK9Fi40xqUqfH/Hqu6KZs3orwwA69SxT3got9W8uTEWnauDFUt2thm48X7p6QQ6Bg0i9xJXY4+OJt6LqnTYpaXLlaRyt2SwJisaGcBt3WpPLvZ3Tzz4oDEGLsWgXsvCQj3nZ+VKa/9TUw3A2Lix1aVpx6eRgQbf2+qYdABZvU58z+rKnrBlRJ4Lf0rd4zHf+2Wx+LDFxOkcal856o0J/erzmJxsXEN2aaq5n9av32yKBsvLo75wdJzuukZHRWjvF7a+qvMZGgQtR1Jec+3KXdhxLFPapFj213GMYmK8onXr5FIFqPjTF/7A2uX6cYHPWcr5BD7+IhHy878r1UOje1CjJcAiAxeAXF5bQZFbFZTf5GMqASKrpM3b/CgqU/tJRgh3RIT/MHQVMKhRMWlpFDbdrZt5u85VIltY6tY18puoC7RTf1JTDasQYOab+FMmgwfTX7ZAMfiKjw8s0kx12ej6L0eQyRwf2frBfBK7ch2VK+vnjo/REWqZx8RjU8+bkWH0qbBQzy+JijJI6k7zwNYj2bWpglCZyyW3z+HwkZEE5lTAmJVF27KzIZ55xgwine7R3Fy9FcYpBF69b7p1s97HOi6ZPwsXYOSQcgIhuhcGvn+ioyCqaVyizA+KjLRaJvlZmDFDD443brTevxs3mvveqJHZKq0r7xKoK1lXRsbrhRgBM09xLqzXQrem6izuhbCW+unauYvWCiXfM1Feb8ABKoF6CP4stclc4HORyPkEPoFGIgRyk/tzjbWFuWZXDijXT3rJfkmghIXhMECOLrprmR9FJXM7ZIXcsCEphkaN9AqcrTrMb+D6SipRMz2d3oKzsyFuv91YgOyy2j70kOEi0xFo7Vw3TZvqs9qqC6uOPxMdbbypq3woPsYfL2H0aMP6wK4/u0gmJ+IpA0OngqC64wMBqYGANlbKTu3YZf7mfsvb2XIYaBZoQE8+Dgmhttj1NmyYAeb8AQ07crI/Vy7f32pxUo+HgDLXR5PH7K/NrCyDe+UEQoqKrPmAeA67eSnRoF2STAaE2dlmq6J8/+flGXW95PxLMuFcTudALkGvsvaZy7s4jTsy3Hq/tG+fItav3yxee222SEhIMIMqL0QRDO5ihh8gouNYpsNc6oePTWqW6HjPZNisybr1vDzyvl2OHxf4nKWcL+BT3kQ1f2RoJ1C0PIB95LemajYKX03OxmNhtxN/1BpUciX2hASI11/3r0B0yo/fGDljMmB1yyQkQDz1FLl9OGRa106HDvooGN43K0sPRvh7fj690ct8KJlTFAgvIS6O8rjI4IDT+sfFkRJNSNCDBg499mfBYB6TzmLktJg3b663ILCVRy1a6+QS5P6qYA2wRpZ5vUaJhsqV9Rmz5fafespwQclt2EWf+Zuv1FRnK4xd5uXQUHJJqfcag1rOvaMrg1KjhjX/kZoXSgdCwsPpnC+9ZL0eQR6IzoCYBwpaCPd4RIvEJOIHKpYY1fIq88ucwJLs7pTdfVFRXsc51hXZVa9rK5vr17VzF5GammoFVVEEfnTrmQ6IqC+SurI+8rFO48lTjnEKUHGBjwt8LoicL+BT3qGJ/iw+TqBobAD7yNFdL4FIzurCs2SJNXEaZ8dV3+xSU42369GjzW4b5vrYvkFlWIsxZmXReWRQpS7YXEtKXpzr1zcAAPc9EF6FvDDrakDl5hrcHG5HVZi6kPzYWMOVxOUdAD3fJifHPgMyKxx/rhK1IGigVh1dNBMrOrmqeyB1tlSlLJfZyMyk+4pLSMj324wZ/q+VCpyCg8ndqCtoGhdnvg91lrytW/1bYfxlmAbMfDbd/pxXad48ff4jXc0s1RWbkGDkQLJzGannjowMF1FRXt9z5Y9Yzffpa69RQlJ2X9olBaX709lCEh5u5ECytSoCIhkQFQHxEAwLTKTH43hcOCiHWSBAROZY+ot+bd48yUI6jonxkltOOeZcWXxKE332Z/u4wOcs5VK1+KgPqkxSTmYlZvMAcnV2p33k6K4okPtrHojzE+pn8Q7kzU5HkLU7zo63Eh1NwCYnhxZOpwWbI0y4DpKs6PwRl8PDrdXf1T7KZQe4HV3ZBjlLswrOdJah/HyIhx+29i8/X5+wMJDwbx7XnDmGkq9alUCDrqQIuzLYTVOpkmFt0AEdXcbmqChyQQYFwTaqTq4Dp1PcbdvaA0g5lJ8BWEaGUZSUwWFhoRkc2UXR6bIw61yk3BaDVjV7sgzq+F7iavaySzc01NyHoCCDQ2Tn1uXn6ZVXrPeV3fUPC6PnVAafOhevzpUaL/0u7+90vrfeWiwWLnzXcR++7h6P3jUY74VIVdebElfWaOWZU59dD4jTGAgQ0XEs7dbHWbPm+gAdf7p27SJSr+lYqgCV0gAfBjrLl6+67AnPLvA5S7kQHB/z4ln20ETdgxoKiOGACII1cisKBok5CEZNL3WfasqilgRaZPjhT9IoppgYI9rEbhEKCyNFoCPIylEvnGY/PJy4PwsXGmRfXdgwE4ntFARgjTBR+T+BADZdfh0O6Q4Lcy7b8OqrVksHL/idOtFYuW22bvnjfdhtZ/LvhAkEbjiXkK6EBiu+9u2pH06uDE6ZHxlpBQbyNS8qso41JsYAxmFhetDSpIm964nHmpxMhHfV6sXX0y7nVGQk5ZiSMyPL1yEsjPhhsjVRtZDowD67JnX3Doe6T59unQ+dWygSEAsBMVO6H+2shDI3hsP4c3IC4ywBZC0aMYLApBqO7+QK1QUW6CLWYmODRGpqR5+C1rsEvaJ9+xSR3LKVqBBkvWbyX7VsDruyVvt5dtu1SSkVENm/3+BYtm9rPTba6xXVqsWa+tq8eZJYsWK17Zp8NlFd+/dbo3f1VvXLK8TdBT5nKecT+Jyr0ER+UGfPzhHNGjcxARaTcoABjiIB0UQCQr6HSvqf63nJ5l6f77sMJFiPx0g4qCqIyEiyCKjKJTTUUFJqu7pMyjqXAGB9Ew8PN9xmmZl2i7dZwUydap9riD81api5MOy20FkxoqNJ8bDVRy6gqQMgOp5VUJDVusL5Z+Tjo6Mpxw+PKynJOH9mJo2D+8dhxmyJskuZDxB3yt/9YAeknLax60SX4bpaNZpX5myx25LBmQ4gy+kV5Og1f6451Z0UEkIfOW8TA031GqjgRXa1hYcbZS98PCoPvWD4ys4U6F2byclWaylnefaXJVpXKNfOwqO6Qu0yg+sirGJjo0S7dimOSTM5343XS/X/1GvWqJH5xUqXrTyzpN1YDfDitbU0QMTfi2W1arHlFqASKPCRo3f9Ab3Lxe3lAp+zlAuRx+dchyY+++yLPsCSX7KQ5ksPDWCYcPMBkQ3K9wOQ/5z3VwueCmVR1pqWbczV8pubHHHDESqDBumTwbFFRXdOXSZlnWVDV1dJ5YLYkZ5lBcPWiHnz6K9dBmKVzO2vnhf/VlRk7he7lRo1sgdDbdta+SDBwc7h/jo3o1P/ZP7Gjh1Gnpa4OHMeHBWUhYc7R5fddBPEs88aCQjV3Ezp6UQYt2tDvi/Yxec0Dk45IO/jjxMVHq4/N1dKlwGv/J05PTKw0oG41FSIp58uOVcYuXRe04xDTtwpJ4QMCbHeFzVqWK8HAwddJnU7Cw+7Qvl3f3OVnW1Orql7niMj6b7mzMwvvzzJ8Zqp4MvyAgOIbiDrjw5U+cvdE8hHrhVW3qDDn75QuZz+1t/LpYyFC3zOUi6WzM3l8WEfcFJikulhKQSFZsoLgx1pb450TEfAUtmdy1gEYn2Rw6c5v4+s+GQF4U9pqb/547JQNAkpUxlocWkE5mNwhmKALAeJiUTYHDTIUDBsIeEQ3blz/Yd/89vxihXkqnNarAD75IFNmpgVVVYWActatWgfXUizU79WrLCe/8YbnfuXkUFKW5eHxh9Hxul65udTu02a6EEkg15/1iT+3V9tsddek+7/gsDuIzv3ac2aBFrYclhQQMAqONgMROU0BjrQoT4P8nzqLHwy0T60AlmWdJZE2XoI0EuCk1tOBzJkAPr558b8OR0fKJh++eXJYv9+A/jYXbOxY61BBKaXGhhu+MySc86aNfecWNbPRe2sX389JHbs2GELytToXX8Wd9fiYxYX+NjInwH46DI4sztrLiiqgXP6rOYHRwE+TNrLKvneDRCVedFUlCqbpuVFmV1FOnO13du37F5hK4LdolLaTMo6ZcwgjIER9z08HOKvf4Vo184543BKCoEotlI5nT8sjOZkwgT/GX65X3ZK0e64mBjqe8+eFMI8cKD/frHikNvhSDfbyJhwwzWmI+U2amRUQ5eBpFM/6tY13ERyTSzd+e0ihurWNdIHzJ1rWOKcFLPO+mZHxlazKqv3V3y84epUXYsMNjg5pL+weSbfR0UR+J4xw+pGVc8R63VuU83w7M9iI5Pd5edAtWapVluZAB8bRRxAf9efgY+/oA/1uZWtXaFB0HJ37LIqt2+fclbrbHkGqKxbt0m89tps0a6kyLQPoCluOF30brpm/XU5PnpxgY+N/BmAT9fOXUSMki00qgT4+BY++cGBldQcDYjqoIRdbNXJlP5mSx8AIk0DKvy9SerevvmYQPLc6ICM3f4jR1oJpQkJVmKujlMkkyhVJQAYlgWn86uFJu3cQV6vf+uI6mpid4Lq4mK+j1NbDPjkOlVOCq1Jk8CSG6pA0t/88CeQMhYZGfZtBAcb8+fxWOtx8TxzzqmiIlLkMojWhY/ztXPiN4WF0X4ygGcOD2BY45j8Hggg5fazs+l+DQ8n62NcnBV4RkfRmO0yal8lzYlcOsXfNZGfAbss2Xak7yQvrTuJfq7/W28t8lk5UlNTbfOEyeeUn9vU1FSRek1HC2jwl1W5XZuUs7L8tGuXoimwGjjo0GXvT/JSRn275Ipq9O50EOgzjd2N6tKKC3xs5FIHPsuWfWwBNgIw5fMByGrzOchHvBFWK04oIDrBCIUH6GFUi5syQToHBn+IwVBprAzPPms9pls3fV0utgjwG/To0fRW7KTk7NwK0dEQ06ZRe4mJ1txAdiTKefOseX+cwEzr1uaMzXaurBEj/FsX2NWkO14GVpGR9OEs2DoitAw4nKrU60Chk/VDd4ydu6ZZM7IOxceTW1EGVlwgVXabhGuy9nq9RlkUdRyqhYLJ8xzlNnas1ZrC/a5YEaJvXwNA+p6fNAJI0dFmq6EdwEtKMjJFv/aa4Zp0ejnQJYJki5F6rK6ulY675fVCBHuMa68Ly2friXoefy8jfO1i1OSCKAmc0Fz/yEiIqlVjTPtXqRIdcEj9I488YbKsqNwdf+6ocK/XMaIrEMCiI2kHCjq4Mr2JYxVFVhx53ZbHaEfQXrFitZvHx4+4wMdGLmXgs2PHPhEZHk4POszAR+bsTIcRoeVbWEr+ZpcAGF1W5yRYU7ZHgULhA+H9qFYG5svIikk+pqhIX6ahb1/6f9w4o+yEnXL2eiHee8+5Pxz5wgusuuCyIpIXzEGDzHlaGGioxwcHE/9DVuRyX1RekVodXtdfdjWpQC4mhsjNXOhR7os6L3XqGOd45hn/RHJdO/4sBWrk2owZ9pYUVsL8f5MmeiBWr57essXzohsHJ8zMzTWI0yrnJSiIQJB8LXTKV+WmMYhSSy3IinbDBiqIqo7bLsszA205EaQM1jlHlHyO1FT9uJOSrKUjGngh2sHou3rPxgTRGqGOxZ9rjN3NYzVzF+qFiImMtFg3dFFRUVEQjby0vujmUwXZTlFZ/txRbMUuLVhQ3WdZWRDh4V7Rrl1g7rN16zaJZ555wbFv+YBjlme3XpdVz/oTF/jYyKUMfFIk/zBzc/gjp2pn15YKYGqU7LsDRqbS0aAaXh5WdjbtRsC80AV5rSGlqpWBFRCb7NV8NTKBc/hwqp+lKkxdWHh4OL1RM6DxVxeLXVW63EAy+Vmn3FkhRkRYFbLHYy7Eyed3ysUi90uX30bmGPl74/cHCIOCzH0OhFcRFUXlPCIj7UszBAVR9FkgfWzYkNICcE4kvlYdOlhdOVFREC1amPslW6SuvdZ5HDKo5ESXcttyYka7CD01QpDvH13yTZ1VjnMfRUVBNPZQMj4V3E2fHljGaz6HvyjB1FRrjqBw5ZqrADwSEMHKPv4sPr5oPI+GmF5y78oRVf6ioprAPFbdPlnwn4eHrSqm563EquIELJxAi1OfnICIzrVlaxmX1lcX3ASmZ/2JC3xs5FIFPsuWfWxbfX0ujIKk/mrOpCpteEHuLAY+dpYkj3IcABGlgBzmCuTlkUuHyZa8gOhylLDCrlbNCpD8EUS5XpacQ0W3X1SUfU4S2bXlcwOEWpVmUBAl/Gve3AAT9eub8744jVOXwE5NqnjllTR/ugXTzpUXF2fMl67PUVFG7h1/rismLttFbnm95K4CjAKyXINKLsCZk0OWE511jSONAlGwDHq4Xpc/RcKFX+Ws2KobTW7X6b7iNj0e2o/bTk83XLAJCfbJALmtRwHxF8397m8snKSQXWiOCjTXuu0Kf+2DEp96POZINV2OInVMTnPHJOb9+/27ocKk+0LnQm7tJXDAmec5JF795Od/J9q1M5OGOdNzoMBCLgdxNtFcsqXIH7jNhH9Q537MetafuMDHRi5F4LNjxz4RHR4homC14jAYSoKSDM0GwISXPHBzQG9T0YCoAP8Wn3Dl3KEllpisLCNCS33A7SKx2rYla4dc6Z1dN/JbZyB1qBhk2PFLWAn6a0tWTLqki4BBYM7MJIuTTGLV8WzYNaNyVmTLgswb4U+VKqV7E3f6LSsrsDd52fUl57LJyjKsO4MHGwRfO2DEc+eUP8ZfGDrfNzx/ar6fQAjxKneGv8scI6f7Smf5Awhos+swEPCm9oGtQZwXyO74jRsNS08gLwDqtvAw52M+B0RbzfUD9KHx06ebSc5paWZODs/d9den+8pWDBlyn1/F7/VCRGnccZWC9H1zcnu1a5Miwr1eU/kdf8BCFyHLlvXSWnx0liKnCEJ/43E/LvApN7kUgY/vQbQBJcEwylWs9gNgGimLcRII9ETB4PiYQkZB4EpuT80tYQcqdG88/pRwdrbRlm7fHTsMxShzidSoKnmxtGtLPa98bjtwpLry4uMN0KVzRfXuHXi2af6EhpKCZiAVSFkCu9/mzKHvOiK5HbF78GBzW7qcTaGhendSYqL/bMJvv+38O1tWdOeVS33IQDI52QAbTnymxESDQ+bEUYuNJXecbtzBwf6jtvgelcG9ajkJDdWT+zm6idMVFBTY1ysLrWDeFh3t8YF9u2O8XojqXmv25JgYwyVJlqAw81qRRHw6zvLN986uXXpOFV8L9XpFR0F08xovY2r5iggvuapUQnCSVw9k2FqzYsXqUmdtlrMk80tdbFCQj5tUmmgunaVIV87F64V49tnxrnurDHrWn7jAx0YuNeDDbxEoeTB3wMi0zAtHgxLg4nuwJCAk1+RikrL8kMdIwKYI1sSHtaVzM/BRs4k6gQp14ZMXc53CUMPemdSpq30lK6Xatelv//4GiHn0Udr20ktEsLazCqWlBQbKxo618nzUnDQ6MjO/ubMitLNWsHJhxaMq3bJafHgB1vFRdG/t48eb29JlzJZDxu3GYneNx483skDrlDIDw7Q0AjoZGYZVKjJSn/E50AK48r1jd35us0kT67g5p5M/KwwT1J2sQVddZU0SKQMGeSy661ehAkSkCgwrV/LNve6YRC/EOD9z1Mpj5t8AFGigc1O//z65mnUW3GrV7Ens3TzGy1i7Nim+iKXmzZKcQWnJMevXb9Zaa0oT/aTLmSNg9Kt9eyXnjp9oLn/coEGAiPJ6Rfp1112QhLeX8uecAJ/t27cH/LnU5VICPjt27PMtBIC1Fhd/TwZZZrJALqxxsEZ1cXJCu4c8T9qWD4P8DM1xumyiOpMuKwmda8TpbZsVLVtQPB766MiocpV0Vgacm2bCBMNVEhVFbgYdeBo3znkc/Kaui8Lxx7/IzjZyycjJ93Rv+DwmToDILplBgygk3O5YHWk8Npa26ZR7gwaBgaVAwKAun4xdPS/VgqMCu7g4cvEIQZFSOkvZ9Okl93yymZsydy4pYNnKZ2cd448KoCpUIJJ9Xp59DhzZfetkUfF6ieek60PduvS3YkU6Ji+PtrGLsW1b+4AAue4XX4NkULHTTGkscr/l8heflwAbpzlqBSO6k9cBXU00XY04HQjNyjJeCGS+VWVANGrQ0ARQsrNfd+wb92fBgrdtrTWBcmbULMn8kQnRpY2s0hWmVl1bRUVFLvApo571J6UCPg0aNBANGzYUDRo00H74t4YNG5am2YtSLiXgIycqrAZoOT5BfgANQK4sjuCwe8gzbI5fAX0CROb48AOuSwqXmGj836iRARrkxZwrs0dGmonCXq+1PTnXh+zyAsilw2+assJUCdZCEMGWlY/c9tat+nGkpkL8+9/0/7XXmstABJIkrkkTiOefp2zRTvlLdFFRQUE0N7qK37Gx9iAiKQliwQJ78GBn8ahSxazM/WXM1uVsys/Xk2R12b7ZghMRYVbwbBFSgS7PwcKFVgtEaKgBRJ1AnezaYXBZv74+YaZM3hbC7L7VWVSaNfPvygsPp+uq4y6pQNOJKC9HB8nPcnRUhNUdGEWE33QvRJSfOZLXkx1K/+T9dckOY2MhunZ1rk6vA6Hskgo0PN0XMWazbgUCVPxZfMriitIVpm7fPkVkZ78u1q/ffEFLHF3Kn3MCfH744YeAP5e6XCrAR34o/UVq+QM0lWBd0NQ2wmF1jSWVfNflBaqkUbYhIUYdKMBwB6glHIqKaHHUHd+vn30BU15UdSZ3thTYkVIDiZDi/rRqBfHOOwa3pmlT65tt9eoQe/bQ8dxXM9eCPuoYo6PJxcHgqjT9kkO7AcPalZFBmaubNiWuE0de8dxwYj05/b/HY1W8Xi/Eyy+XrhaYmrOJeR9bt+qBhF07K1daz+ukmBl8ytYMPsbOEmPnerr9diOtQVgYXf9//9sZNKpWmMqV6f7lbYFERw0eTOPgCLmCAnu+HLvHsrM1QFN5lt95Z4moVi3W1Pckr1SE2GaOYqIg4thiJq0ROguRP/e2XbSb7hlN8kJES4kGu3btogVuSV5al7p27hKQtSaQdVbNkhwIITqQj52lyAU+Z6dn/UmpgM/lJJcK8JEfbH+RWk6ARs7MnAYreTkKEHUAS6i8msFZ/j1cUQhBgKinbiuxVMTFGVFBqpLXhWD7c4fpcvEwGVZ+m8zIoP/VMPZAIqR8C3KS2VWmnrNGDeM4NTQ9KMjINK0bo8oRKU2/5OggJrLK1gEGO+xyUq1IfHxMjJH4Lz+fQBkrnLw8AhTh4XT9dEBCJbTqQvbr1bOeW8crys015uC22/TKn/f1eGhsMkmbLXh23BYn11P//kZ/4+KMUHxLrpqSPEadOtG8ye1362bP11HnR7V4yFaqQIrxytcgwUvuH11o9FtvLRZ1/1pXhJQ853U9znOULIMjaS2RARP3pzQBDWr/o6LIAqwSlwGysixfvso2UMELiBUrVpebtcYuS/K5irRygc/ZzZs/8eIsZPHixbjzzjtxzTXX4McffwQAvP766/joo4/OpllXSiF//WsdAMAaAHEl29Yo++SV/PUAGAYgB8D3JX9HAKgEYKO0f28AbQH0A1C75O9hAJMBFAMYDyAXQD6An6X2UfI7AAR5gaAIICcHKCigv8GhwK/KtqgowOsFdu8GTpygYydPBnbuBPLzgdxc+n733UCtWvT3sceA4mLguuto/44dzeOtVYt+nzTJfNyUKdTezp1AXkmnhwyh38ePBypUAIYNo36tX69vOzWV/mZkAKtX09/8fDrfH38AU6daz/nLL8B999E4t28HPB4gLAwYMwY4cwY4dco6xilTqM0rrwTS04GRIwPvF8/tli3Af/5jtHX//UBmJrBkCdC4MW2bPh247TY69pVXjDby84GVK4F776V5zMsD6tUjrXHwIP3t14/Om5UF1K4NhIRQm/360fd+/Wh8Bw/SmIODgchIoE8f4MgR6uPw4XTcr7+a74svvwT69jXGx9erXj26VwBgxAj6u0a54XlfIYCZM42+/P47sGePcUxMDLB0KY119OiS+7cY2LpV3158vDHPu3cDzZrRHKvXfNIk4ORJmuvVq+mY8HD6PnMm0L8/fa9bl9p+8UXzvC9dSn3j8y5ZAiQk0Jx5PHQdP/4YqFbNuF+//57+jhwJREdTWzzuE8eDsL0YGAAgA8AflSrh5p53YOXKFdizZxc6dUrDshWr0O6ajjjiBfZXpvNOngz89pt1juYVA8kA0mBeT3YACPWa+/TNN/pr9P779NfpPj58GHjqKWNeJ04BtpQsMHv37sF///s1iouBth7j+OJioK2X1qFvvvkacXH10bVzF4wMCjKte6OCgpDSJgV79+7Bnj274E+io2Mwf+EirF+/GQsWvI316zdj/sJFiI6O8XusKxehlM0eIsS8efNEmzZtxLRp00SzZs1EQUGBEEKId955R/Tt27eszV40cqlYfHbs2Ceqxcb6orO44rpsreGILMBqsakKMycoCUakVx4oY3MUiL+jVmpX356CS/bzEaSltzl/b6gjR1pdBsz94bdFu7pUaj4df3wTTjLHUVpy/9S3b7v+qm/y/siynGm5f3+jXX4bdjoONlaCQEjEanSQ7u1461Zj7P4yW+fmmvus4z8B5gKm8oeLc8rb/CUJlN1uFSoYfC8+JjVV7yqSrVf160NMnkz9qlhR73KUycZ2UVwy4VaeS6f7zI7Xptac0rm82FrYqZO+PIeuzATfvyEeiKtr1RbNE5NEbFCQmA5rAWE1RwzX99NZ/qZPp/DyZK/hMpuuWU+6gULQ5W0xMZHa3FVO150tsDpSPECWmpdfnkTXUrW4RbE7drJYt26TyM5+3VLtvFqs2cV3seXJuZQsPnJSxwvdl3Pu6urevbv48MMPhRBCJCUl+YDPjh07ROvWrcva7EUjlwrw6dq5i4j2ek2RXOpixIVH54AATmTJProIriJYo8LSAPF0yf5e2OfwaQ7D3K0qBH+JARMT9W4i2UVjx20JDS3doqoDTLJCf+ghCklv0ECvjKpVs+fY+FvIOYljQQEBDn+KnwukpqUZHBF/4fY6Bawr6SHzWdLT4St86QRCmKStAsSkJIOrVKeO+VwqoOLIHTl5n0oOVt08asSf10vnmz7dSOQo9yUy0gr0ZDCmkmpld5wOIMbEGMn5goMDyxguf5o2pWze6rPBWaOXLNETzytXpn7LuZDU86qpEdRxJJWAEX85b5KSEm1dxAwKfX0rWUeSQC9IdWHm/2WCCn+mXnONSL2mo6VqeJIXokMJaNGBVieuVYvEJLF//yGxcOG7jvNfr16c6ZxMHm7fNkXEBgWZErSWhq9zPhT9pQB8dGU3LnQ1+HMOfJo2beojMcvAZ+/evaJp06ZlbfaikUsB+Kj+ay4kmgWjQrpcaHQjzBYaJjPbcYI4nb0KpKKV7wyU8gHxmrRdXpCWLfOvJOx+4wragSoZr5eSytmFEPN+XA+poADi6acNZcPHLVlitVz4Ayq6iuE1ahiKnAmqOTnGnNil4k9NtY4xNJSIxbpwewZyO3ZQniPm7nCdMCc+BfNVtInkos3zVqGCPkpHthSUxtrnFI5eoYI1uV9yMpHU5fOp1yk62gALurIYOTlGAsWEBLOy5/IPcl4gvnfU68/5o9RrF+Q1khfGx1sJ4k2aWK14Mmn688/to7T8vURw5GJMFBX5jPLzfMnh7U77PQRzpGhocLDpuIrK92qxseKjjz7yrVHy+iRQkg/Mxgqly3DO8wqQhcYppF0H9GNjg3wlK5KU88rcIUdFf554PuWpL84VUFMLtPIcq8kbz6dF6IJZfN544w1xyy23lLXZi0YuBeDDxOY5MMzP6bBaZLjQYCrMhUd9Cx3MwEeOAqsKfSHTOEA8CIgxMCK73ivZH6Coj6goc0JBnVKVc+w4WYO4P3b7ZGdDPPWUWbHo3tzHjTMeUlmhc1i8nBdIPb5tW4irr3buh3pMtWoU1cXKIyTEGim1davehbdwodX6YZd3pUIFUvRyAVdux1/pBfnTrp1RsZ0/qakQr79uroXlD4Cq5+KcS6booBg9IZzJwXKSQJUMzeTXhARS9Jy3Jjyc6r/JfVQthQxseva0jidQ8rh8zewItmzpatXKOkZdyH50tHHvpabal/IINGcSf6/l59lR1wNbV6dmjZg9O0csWPC2aNSwoajo8YghMKwoUV6vqB9HVhc5+EJerwTIYsTnzsig/utI1Y28VHOQ8/CoJSPYesbz7gS0ddYvr9dPfa2zzAd0vvWFDqi1a5NSLkAtkAKtF8IidM6Bz1tvvSU6dOggli5dKpKSksT7778vpk2b5vv/UpeLCfjoEPOOHfssfut0QOwBHN1eXuX/DjBzgiaAigLKxUadgBFA0VrqeYJh5kzk5EB8+ql9ynqnhygry395gxUrDM4JRx3l5NAbe0YGKbrISLM7RVVmM2YY4fN2riFWak79ePZZo0J427bm0HDVRSS3pcvmrPbTCbzoKonLIELtM1vRKlY0h7HrEs6pyt0fiFLP9fTT1jb8VRN/+mm69tHRZB1Rz6PeS8HBZssPuxPlc2zYYHY5qeMJtFYbW+l4rrOyyFoTEmKMk7lI6hg3bAgMXDkBGydOkJoHJ8yfxc/mfrScV1oD2Cqc0KChiI2KMh1fDRCdlWvdxAPRXrXsec0FQnXzzu7QwTZrUPv2KSI62qstA2MXnec0RrsCp+cil8+5Bj4+GoTlZSz2rMFHIAVaA7UIXVLARwgh/vOf/4hu3br5Ehh26NBBvPXWW2fT5EUjFwPwcTKtat8+YJCTW8HI1KyWnkgrWewqASIC9sTnOF6MlIedFz3mDIXCmjQxGhBexS3Ab95ZWfSWnpVl5g+oLoOYGFrIY2NJSScmOhfyCyTjs2/RTaeFUd6WlxcY18Xjsc/abKco7cCUvzpM3LY/wPXQQ/7HzYpS5/qR504GjjKAYp6R03m4uGdkpJ53lZdngM/SgAxW+DrXJkAWEnaPyfcAn0NnVUtMpEr38nj8WVOqVLGWH1H34RpfWVn6Qqv+iq/agQCZsxUZqedZRURQ+/JcZWbaWFujjJw3FUAWFdus4V69wueyN/zsZwIiWKrkzs85J42U3Yd8/hhIxY/t+GU2a1B29uuiWrXYUpdKcVLYjoreph+B5gMK1O1ztsCHgVqSxroVFUWA8Wz0mT+Ljy9xpINF6JIFPizHjh0Tv/32W3k0ZSv33XefSE1NFU2aNBHt27cXo0ePFj///LPv9++//17Ex8dbPl9++WWZzncxAB8706q/YqQhgKjPC4myz6swAx1etJJgBS+6wqPyefIRYNJEzZu3bjFSc9ykpUFs3kzgR6egebHfutXI4OsvMon5D7Gx9u4wdpU4KSaVY6NG6cjjYq6Nbvyc6E5uS7VksOLnwpA6kBQIiGCFqwNgMTHEnfFnWVPz+HA//FmJdGAh0GrwDPwGDTLnBZJBlDzWjAwj6zdbtZh8befGlPledkkF2cqjyzelAy4AZeHWASt/z4K/39u2NcBVbi4lUkxOto6pWzejXyE2Ljn5hScSVr5UVGS4iIQ1oCFJevYLYc/XAfS5ihioxvB9XqKkdS82duuLPwVrTpzpFSkpZ1lR3aYf/hR5aflBZwt8GKidS/ChK7vBFp1ALEKXJPCZOnWqj9dzPmT27Nniyy+/FD/88IPYtGmT6N27t+jdu7fvdwY+a9euFfv37/d9Tp06VabzXWjg4+9Bc3r7GC3to74ppYEADpu3A8n4rGZrjgVER5DP/lk/feEHz59irgWDs8Gk0JwcfSRXZCQtzlwdXFagpeE/2LmzWKn4I2Kz1UJHcJXJvnKJDbvxMzhKTqZj+W05M5PaZsXN1ihZuWzdGpj7JD/fmqhR3c9f5Xku6KqC1MhI/Vyq1bd15SkCrQZvUtZeaxoD+RrLHBFW5AxcVDeV6sa0U9RFRQaQcprDRo3Mx3Lo+dy5RpZvrmmlKvlwL8T7gPiLzkITS/eHzO1iS5bdvVy9ugEwHoIR9LBCWif6AqKtAnZql8zFI488QYkCocwHIG6Qnv10jWWBrYR2JSv45SEclAg1GlbScWxslGjaqImI9Xq1WZP9KVgT0Cjhlzgp7EBeRMuSvbm0/KDysvicS/ChK7vBcxwIB+iSBD433nijaNiwoejdu7fIyckRhYWFZW2qTPLRRx+JBg0a+IANA59t27aVS/sXGvj4M606AZW2mkWqCGaAI2d59pfx2aO0Fw3romLXF16Q/UVlyVXG2S0USD2l3Fyrsu7Y0TCrM3hQXVHchl3bTC5VFVP16laLh12elshIUoLM73E6X+XKRrZiHdFZVuBsAcvJMQNEJsyqICI0lNqWXU52i6Fa9d7OGsFztHChfysR9/vTTyGqVjW30aGDNbrJLmvz7beblXpoKN1XfI0ZtMpWIDlkHvDvqmM3Vb9+9HfOHGpLl0NKthLx/REdrQdVlSubj9XlNLIjScv31NatdK7KYcY2f65Z5h3NkZ7PQljz+nD7KhDs2rmLSG6ZLCqBKofnlTzfnA7D9xLl50XB7jc+PkG5v5iI65Q1mXMPObWf1CxRrFixOiCF7VfRlyGqqyzWovLg+Kjk73MFPuzKbpQVYF7UwEcIIfLz88VLL70k0tLSROPGjcWQIUPEe++9J44dO3Y2zfqVAwcOiFGjRok777zTt42BT2pqqmjbtq248847xUcffVTmc/z2G01ieX1+++1Qqdpdv975YWE3lWqJqQFrFBbzevgNrwBmEOTP4pMA400xBlaXGHN8dDW8tsJ4i7OL6pKrq4eHQwwcCDFkiL5Old3bnMejrx/Fi3d0NEVXqQrMru3hw63urEaNSCF//rlVKXXrRony1HMvXGgsNLrxMzAJCjJbMOS3+qeegmjdWgM2c8ycpBkz9CHSsutCtmZxFIzMB8nLsyfOhoZa39rT0wPn6jRpYp/ILz/fP+iSk9mpFdwBZ3cKf9jiYtfXsDA94Z6tek5WIn/gls8vg2q55IfXSyRefhZbgawhgwARI51HBcKqe5evqwr6OIx8BygRoZr4T1cnaxxK+HryPcXzW/Kch/l5lpx+a+UxXrDCPB6R0KChePnlyWL9+s1i/XqDD0Nr4mbT919/JUtKaJA1H1BUFETz5kmmfa1rrLW9wNbm0h0XCD/obPWF7rNz53c+/pMOfJSnfrM7vw5g7tz53Tk7J8+bPzkr4CPLF198IZ5++mnRtm1b0bx58/Jq1iQTJkwQiYmJIj4+XvTq1UsUFRX5fissLBSzZs0SW7ZsEV999ZXIzMwUDRo0OCvwc6El/brrfKbV1SDgEi4DCkURJkqLpg7AQPldDn3XZXyOAkVssX9/tXT8DkAsBIXIy4uhT6GBrEzcB36r0+VsYZLx9ZrfnRSJru6VruihnBCNuR+lST7n8dCHF5DVqymCLCzMHA0VG2vUtJIjs2QFoBs/5xCqXFnPb9C5ZthFNH26NcN1fj5ZwThZImBYMHJyKHJNBSChoWaApP7u5Fry5z7ja+PxUJ91JFTZ9aUDXR06mNvm8Hi7ttSINh6bv+uu8mBCQw1A6zS+Ll38K3luw8mq957mHmFXWVaWQfDPyYGYOpV+5+ix6dPt260QFGSJ8HECmDIw4fUjD8aLVGvQi9CbMBOTdWDa6VwbYeYd8qdGlSrm5+S663zr/Y4dO0Rubq5Yvny5ACBmQM8v2rhx47leogOSHTt2OK7L+fn55+zcRUVFIjW1g7LmXGfSneda8vPzRW5u7jkdZ2ml3IDPtm3bxIsvvig6dOgQcALDzMxMLSFZ/uzatcu3f2FhodizZ4/49NNPxZ133imGDBkiiouLbdvPyMgQffr0KdN4LrTFhxFz6jUdtWnhGVSooahObxaDQNEbUSUPnQqe1PM0AkRFzfY05TsDsSwYofBOLjp2UfEbvO7tnQtk2ilCdikwF8ZfVJOc1Zb3YZeYWtCR+1K5MhFZs7KMZIZO7oi6dWm/CROoXU5AKPNCAIOUq0tSp7bXpIl+XDpStD8QV6MGja9pUysA4ZxGKgAy3VcOCt3jISAozyVzPGTriL8+2s2xDLpKm8cGgBg61Aj3t0sYqUsHwJma/Y2f++7Ur4gI872cmUkuqxCPAR6SvFQaQgfo5HEXFprTAbCr084q9dhjT4mYmKiAAgByc81zx3l2OI+P/CLllcauA9MdOugtiNFR5GqbC2tUaJLynfkwqR06WlxN8nrHVmnur86SUtqPanUq68eJH6Q7R3lYfMzjKJt161L7nBeLT0FBgZg2bZpIT08XCQkJon///uKtt94Shw4FdvLCwkKxa9cux8/Jkye1x/70008iPj5ebN682bb9nJwc0b59+zKN7ddfLyzHx+cn7dxFxHq9lmirdAVQhMFMWNa9WfDiqgIZmcOTBSPj8w5ADJS2v1ZyrOpKk/vD5xpn0wedu0eXzI3N7joF70vFnxS4cmYXB2CfMJD/3nEHlaswvyURv8eJwKsCF8AaocWKascOfWI7u+gou5wk2dnkIlLn9dVX9YqIuSZ2yrlGDYhatczHsUXJiUOim0td4sG8PP04QkLIgifPa926BCA5ySGPbeBA57Zyc63AhIEvE+ft3GRl4ank5Rnt6yLeoqLofnr/fft7OcJL0ZhO55G5bAzaGzWiZ2Xs2MDAb1ISAW6nfZkTx65edpFzHh9ecxKltaCD1znvVbRyTwcp88Brlj+3e5S0Fvpb786Gw1Leyfd0/KDUazqK1Gs6ms9Rwhkqq7643D88b/6kzMDnjjvuEA0bNhQ333yz+Ne//mUKLT8f8uOPP4r4+Hixfv16230ee+yxMmeRvhiAD9eisSsKKpej4H10mZujQAkFIwCRAXojYutMUMnxt8F4eyosaUd+qwuHAYKcwtt5UQxW+iCHv1YohTuLeQpsUWC3ilpTyJ8LQ3aL+YvqYdeC+ru/9tmNpntbX72a3rSDg62ARAYIuggYtnDpwuWZIwLQ27WsUHUh66XJ4pyYSJmuZWuIzkqic1+1batvPyNDP3916xpEadlVyH91uZrswJVq8UlONmfK5jnQWbbs5oWj7UxWi2gzYZ4J7ToXrHxd/gq6l+VSHFFREH/1c22YA6W2L6d7cAL+8gsFR0vqXKs8r8yPioTxYiM/77wW+MCKzbMRB7JQs0WGAct4kBWa1x0B/4EWGcr2JGi4juWQTflcJd+TLS9OkV5l0RcXU7HQC/U558Dn5ZdfFjt37izr4aWSLVu2iLlz54pt27aJH374Qaxdu1b07t1bdO3a1WcRevfdd8WSJUt8lqJXX31VNGzYULz99ttlOueFBD66nA8cmSUvAlw53SstFEUwgxaALDq6cNTp0u9LpIWMwVMOyIXVVFUONotSrrIomt40SxbQIEC8DQPIcBi33YLNSl1eWDkfjbrQOuVfYXKuv+RznFRRTn5WWGhkhfYHGNR2VTeevoZQYKUI2CKiKin53Pn5Zj5Paa0X48ZZSd2saOvVM29ny1AgZGTeVpr8P14vxLRpBmDS1QhjdxrPicwXokRtNL/qcWpb/oDzxo1WK2HbtmYwunWr9ZqEhJCbjoEvk5jLcm0yM40aVur9wzl8AnX/6cYTWoFI/cxZ43sstGStkF9iWpUcsxUQTXhdsHk2wmEGTvJ6oVp4/Fl81PQcW2Fd2862ftb5CMUOJNKrVPriIisW+qcFPiwnT54Uu3fvFqdPnz7bpmzl22+/Ff369ROtW7cWTZo0EZ07dxZPPvmkycr07rvviu7du4vExETRokULcfvtt4sPPvigzOe8kMDHLiuz6k6C9NCrDxC/VXFF9ShY3VPM1akIqq7cDmQVktuTQVCin0UpU2mXrUn8qQDiJ3EhU3b5yP+rxMioKOONNi+P9nn4Yf1Cq1M8bBFQw5UD4TewsrDL5lxYaHW3qaHYMgmXSaiBuDL8WWO8XnKd8HzJb/ByBXhdOxER+mzRcXH6GlEyyJKtDf4ipEaPNvN9unWzKtuwML0iZ7DK5/MXMg9YAVS1akZ5Cvk4O4DpFM0m83LCwgi4292zt99u7GNHOJ4xQ598sYLX2oeYKIhgTaSZCq51bmS53Id8njlz4EtvUNljBpz8adQoQbzzzhLLS1gSID6X1pcwm375AFvJ7+wq4/Uiu2RbWxiuepnjo1qtnZKpvvXW4nKzdpyP5HuBRHoFrC801qmYGO9ZZ2e+FD/nHPgcP35cPPLIIyIhIUEkJCQITmY4btw4MWPGjLI2e9HIhQI+/t4EMgER6/WK5s0oVPOVV6YID2DJrBoDw0Xl1J6ao4fBSgEglpX8Px2UsJAXPZ0rTQ5xZUtSiNI2vzmO53OULCx2UUYMfFSloVMAO3aYrUOcf0VdtBgU2C3SK1aYQZCsJFX3gM4tJSffUxWsv7BvuXK7rm8eD5F05SKMrHjVauVO7VSq5Jxl2ckaFhtruIgCKZMhX0/OeZOZSVwjf2RgtsJwpFwgc8efkBAicevyFtm1pQPO3boZBHN1rtR7Vq3AbheRp1rrZLfSOEB081rb8cDIz6X2m8G1Ll0AZ2+2uzbVqsWKaK9XZILy/IwBRLjXK9q1MSvN9es3i5dfniQ8Jc+7mmiwRhBElFKmJDaKoq1Ymc8BRXCFKveGLlS+hmaf1i2Ty5xAsDSfi93iI7u0/PW1vIqSXiqfcw58nnnmGXHrrbeKjRs3mqqzf/jhh+Lmm28ua7MXjVwo4BNI4sKunbuIzz//SjRvlmRRMDLI6AZz7h5dexVhtgQxYEqS2kqDAaC2wupKqwCI4TASmzEQUi0+6mLGD2u3bvakYTvXBoMOufq7rCjsQq+zsgwAoya/U0nTHDHGyqaoyFoWwImbxECMFVUgZTvYBWPnruM+VqyoV3IxMUR0ZQ6U2o7Xa5CDhwwhZR0eTn3yZ8HhhIzyOTm6TtffiAgD3KjXKDraIBr7I6QvXGg/d7qIQK/XsPToXFj+rsOKFca1k0O7PSXPgY7Ma8fNYvBjx8/ie5rD7uUIpWwYLwl29xyPRR4nZxRX8zNxNBXP18svT3ZMyqfjjKRe01EE69y1URBVFTCtK0Kqsz5znrGckt/aSnMgR2llZ79epgSCZfmcj+R7TpFeOn2ho0AkNUt0fIbCvd5zUj3+Yv2cc+DTqVMnXx0sGfjs27fvnOXxOZ9ysVp8Jk6cJjZs2CIqBgdbgI78vRIgvgTEPF4sbdoDzPyhCSXb5CgxAKKh0g4vSmNh9bHzd3WBi5J+Y7M857BRlZC/TM9s4bBL1S+7J9Rw5ZdeIjeIqog//dR8vE7ZsKK57TZnpW2nqNLT9cVYOew7Otq+XAKP/dpr7cft9RpuIdUCpIuC043Nbs6Dg62kXF2xTLW/3Obnn5uBoz9eDf/OSluN7rKLCGS3HV8fHZFXVypDTuBnF9r9EMxk3h07IP75T+dxREXpC9hy9Jlpnkra58hKNYeO6gpjgOYPtMqgkJ9ROZuxTLp1qiu1fPkqx7Emg8Ahu63mghIgtofk4rZZi/KV/9XfGYDZZQouz09ZszuX+hw286zTFzoKRJTX6/wMKXP3Z/+cc+DTrFkzH9iRgc/27dtFixYtytrsRSMXA8fHzp0UGhwsIiVQEQ09yOD6N6GwJieU37JiQdYh1ZKTDojmJeflqCw7N1djQLwCI0pDXuB4Ic+QfmsEiGCvfZSRv4U8N9c/Z0a74Hv1oEGXtfb/2Tvz+Cqq8/+/71wgLAlZlGIXVHZBloBskUowoGhsbW0trtEKLkhCsGpAWzfcMXFhlUWwaERB+3PnW6loglWCKERckEBAwdYqEJAAsmXm98cz586ZuTP3hrCqOa/XfSV37syZc86cOc/nPM/neR5wduK6sElPj59OY+ZMh3ujAx2/9BYKKNTWXOcHqLz3VvfVc36lpDjRl1eu9Cds+wGztLToVBN+4CaovQ0aOPnG0tLccWT8QEnz5o4ru1/ahljA0vv8Cgr8ibxnnRUd5drPQ0xpxfTzkm2g59VixSPoewnGXn7PSWAlePqbYMi7qXta+gX5jAcimyKenPr6cHrfDP9UAzG8jeLxX35B9EZIxR1TwCco0/oC7f+btTXmQMxZh9qz6UiALL97eOVFrA2xYQinJ5aZUecl/Zi9vw478Ln00kutp556yrIsN/C5++67rWHDhtW12mOmHE3g47cTSEfMTGrRSrcnvuLhxNLoTMcf1FR5zvWCpzQE+Kj6/TzG2nramKx99zOLqUWxEeLWGyS84ml89JQOQYuwiriclOSAnHgCQjdtKMAzfXq0kGvQwJ9Mmpws56p6q6r8TXFK01Va6p8Hymuuqw2RWucxjRvnzzlRdQYRtquqHG2J+qjAh35AUQdjQWPasKGbz6NrlrxRjOOlodiwwTHlHAgZPCsLa9QoaUdzjYtSWOiY+/zMgn4gOTHRHSU8HgBXIRkUoTgoCWsvIzp4YUqycH50J4MNCBcH3KZbv8CMabYWMF40d928FWs9iZcNXa0DryEbneZgDSY6srIyg+l1V+BonP3aFmvNPNDs5/E+RxsceOVFPApE586n+I6vri071GN0LH4OO/BR3J477rjD6tq1q3XvvfdaV111lZWenm59/PHHda32mCnHQhwftcjEiuMzTgmEgBdC/+0G+/szuNXpQTEygjLBVyBERbUzU21MBqsF7gVQX6wVmFIASRGrgzJV+/FHdPfl5s1jCxw/gRyPJOs1bejXVlQ4/JjiYtEkeDk/OrhQxGM9arT66ADMLwO911wXj0it9ztWdOkNG2ITtpWnD4i2JJ43lepHv37yPIYNE+Cl86Z08KLG3XvfwkJ/d3UvEfhAuDreODkKyHg1buq++jEdZKr6vQA1ngkzOVnmh3c+NmgQndy0Nnm+vGCkkw3Kpk1zwLX32fc24q8PIFrhzF8PqJW30emnZ/h6nmUZzjuue6AaRnReMHW+0j73Aqutz7zt26t3rQTzgWY/D/ocK+DgQDQ+Ctic3jfDSrSJ6n7askM1Rsfy54i4s3/55ZfW3/72N+uPf/yjde6551o33XST9fnnnx9MlcdMORaAzyOPTLQgtmq4NhqfaQRrXhRAiXWfWPUnexY5dX4o4Dq1oxujnTt9unjueAXPunWxUzpkZWH17OlPBta1LDrIiScsvUTnkhK327HXBLdli7vthiEaJq92JhzGOvVU5xwVcyZeYMQgAOfVKChQGJR2QfWnuNgN/oLyRqnYN/G0ak2bEsmFFQS4wmGJD6P3we++8cahYcNocOHH1fHGYfLW49XAJSQIaNPNgmlpWCec4A/W/FI+VFU5CWD1/o8bJ2325nDznqc4erG0V14wMpXoMe8VEg0viHlLvW9B728xjmbGAOuxxyZb2Mf8eDazZz9tZWYOiPZ+C9DglNTiuYYDNGvJyVgJYeIK5rpkPw/6HCvgIBbHJ8irLR5R/VCN0bH8OWJxfLxl8+bN1uOPP36oqz3i5VgOYKi7tuscHy/3JsU+rxHBGduV6Swc46UwAuo3EB7RmwgIK7bPb9igYQT4KDC1hWh1dygki54uYG+8MVoAVFQ4gEPPgF5cjPX88/6xe/Ss3LWN16J7dTVu7F+vl4zt1dZMn+6QcP3Ah6pTmaHiRVJWAR7jCUXAOuWU2EKmXz/Hm817nm46bNtWiN56uo2gOjt0cPI0eaNWp6Q43l3hsL9pMDFRIkTXxmw1fXrtuDqxUnyovihzWWamA5T0Olq2lLmlzvfGm9LHxM9UqZv3evUS7aBlOWaxe3FHMa4N8AvaROhpZvT3NjPO+9vS531s1eqXrmNZhmyc0pDNTLt2bay0NMMqLhbAXVCAlZwo77Zql74xi3iVBjzXzp1PsZKTQ3H7Hksw10ZLVZs1+lgBB8rMVlFR4ZIXsYCNfr0fZ+hQjdGx/jlqwGfVqlXWKaeccqirPeLlWCA3+wEVFTm1kWfBbOz53hKsfxO8aPp5UiT6LI4pYC3SFtHIgojsLFOIjgztBQyZBlaPkPANFLFWFzT6+fE4OIqvc8YZjsnCMESA6pnSU1Od415h6+eJlJiINWuWo9kJMi0lJDjAxg9AxNMoJSZKHenpWLNnY/32t/HBSjyhqMCRiqQcJGRGjXIEdBA/yTsuXbsGn9uoUe3a16mTnK/c7L0gZfr02rn6KzNdfr5813N16eA4Vj0NGzp98XJzFBhSc7CiIljzpZvqglKVeMdSTy0BdkJSnICfvX3GOTVZPLkM3EH+1PvZhGiHA93UpIBV9y5dXfduYTjvo2pzkIecYTibqFhj6wVehcT3OoL4SVPjCeZDBViONjiobQTmuhCujxVQVw98jvFyrLqzYy9qKsVEAVhvILurJ8H6A9GAJtbLrHtSeIMZGgi4sXBceDuD9YCnXQaORinLx56vFs8gLUlxsYAJBSiCsmfrdZx1lpMjyqudABE6J5/s7GT137ypF7yLbjwhfMst0bwZdU48DpESoF4AoAf4U/1t0kQE6rRpTqoCL99JeT916hTf06xhQyeZ5ahR0eZFb2qNW2+V69PS/GMGeQP7xRJcuolNZaf3RpxWAMJrtlTRm2sboDEohlFQ0ttYfK+HH3YDmCBTXW15Riqlhvre0nACfr7gMy/OMpyUEPp7CQJGFuCOuQUSemIKdrBT2xQy+MxBVrJhuL0uDwSw43hlBo3XHNzaYMDKHjLEOv64VF/gnJKcZEHtvDPjCeZ4ZqAfAjg4XPnBDuUYHeufeuBzkOVYDWA40/6uVMhqt4jnu8rjFcn4HPAyewFS2zZtrRkznrRO75thhZBdZj7RbrZNDIkTVKLVHy9ZoUo5oZ/jNRMEJaNUZhwvOVcHUkVFsusvKvLPAdWyZbSnkxLoB0KA1jULBypASktjx+BRdSphrwjIymzkBXf6dxXXKCigYEpKtGlNaTmU51Hr1k6+soQEt1bLLzBebSI+Bz03BSCCtH8gfa+sjCY+B+VlU/wdr2eaclXXTYjxongXFgqID4UkXYuf5iteEEYVq8elGfG4tSci4EU5DJTimK683lzKNO2Nip4C1kT7XP14i7Q064UXXnGtAcpTU7V59WoHEAf1o6AW77cOzO69d7ztSbRa5qbnuaZ75o0fyT7Vfie8UaT9PrU1Ax1ucFBXb7AjES36UI3RsfypBz4HWY5VjU8xAmoScWtavJGXQTQ4XfG38eums1SEXKl2jknNmrkCIioejiJ/KsHY2HBHho5kVg5YPIcPj15g/bQ/zZpFC0AVMdhLzo2Xd8nPU8prvmrZ0r3oxnOl1wmqfsJQmQz8NA7x6lbxf1Qm7uJi9/mZmaLZ6dw5etxUOomuXf2FfpC3mn7/00+PPjfomeoAzk9bk5LiBnD68/Zqrho2FO1V8+bSBxUTaMsWrOOOiw+YVD8Vt8ur5fMbA7/n99BDTp4tEDOteu8eI3peDhgQezz94hopMKS+e0GM8uKMl7Czu6ctxxs+ISnC4UiE9w12nY/a5/vlEQuMMm3fO9s2kXld5jMNd5TlZ599wdq0abu1YMGCyL1V0FPdk7RHj3QrLS3s8kxTnwQD67iUlAMSzAcbd6eu4OBgvcGORH6wQzVGx/KntsAnZFmWxQGUBx54IObvVVVVvPbaa6xatepAqj3myubN1RzYyMQuoRAcf3xSreq99KILWL64hAk1NWQCpUAesAOo0c4zgMeBa7VjxUAO8EvgayAFGA38P+Ajz7Wm9v8g4GGgm32sIXA78AUwG0hPh/Jy53r1PWy3qRjoDXQEiouhd2+orIR27WDRIsjNBdN0Xz9jBvTpI+dfdpnzW48esH49TJkCAwbA4sVy/c6dkJgIf/0rjBkj16WlQXY2bNgArVrJ9RUV0LFjdL3FxZCTI7+3b+8+lpkJpaXOuQkJ0LgxTJ7s/DZ6NJx4otzrxBOl/3//OxQUwKZNzrVJSdJWvb9ZWTB0KNx4I+za5W4vwMaNUue8eTBnDixYoD0rQ+6VkCD9KiyUe3rHeelS6Uv79rBmjdSTkeH0Vd0jJUWkmN63/Hw46SRpV79+8OCD8oxUH7xjWVjoPIPLLoOtW+Hyy6PbbZoQDkNyMkyYAN27wxVXuOeSYThSvVMnWLXKqTczU54/BI/ZH/4gz2bDBvmr3q9Jk5z5k58v565fD9XVTr9CIWjQAPbtc9qrSjcDSky4HHgX+DnwOVBUBJ07y5i3b+/MV3088/KgdWtYsSJ4/qnv+lip0taAViaUIO//AOcnNgInG9A8CSZ73pHW1bBCq0etBwDpgBp2w4CGDaFpU/c45eZKu195Rc0Lg+++M3nKhMuArcDlBizQ7pFtQLEJqdr9ysqW07ZtO6qqvqZjx44UI9d727VwYQkPPXQPb765KPJbKCTPsH+/DJ586jlSUlLRS2XlGr74Yj2tW7ehTZt2+JXanBOrrFu3lvXr19X6erVmT6ypYQCwGMgPh+k5YCBz570Y9/rKyjVkZJwWuGaVlS2vUz9+akXJ2bjlQDUhl19+ea0+P/RyrAUwDIMrWrNSeWd5doPe+Bzpnu+ttP+H42RI3uI5V+f7KPOJV7tgGFgNEKJ1sr0TPSMkZgn9ng0ayE7eq33R0wrU1lSkm8KCCMa1idXjd0x5NoVC/p4+utdXSors9nv3Fo2FbmZTXJtXXxWPHr2OePFa2rSJTguh2qL6pUxt3h2y+q7ML7XlKEG0RkQRkoO0OUEmHmUya9RINDVFRc6Y6fdTmqDGjbDGjJE+jRvnjpStnq36xDOxgMNbisVzeuSR6LFLTY2eoynJolUZh8zzZLA6hLCaNRWtn06Wb+YxO6qwAn5u9q7vRmxenJp3Z4Wi08rEIxnr64HS+qr14+5ajungwYOs41JSojTGiWA1NAwr2TACzUJqzauN+UhpIWJlWa+NVuVoxOE5VNygI5Ef7Mf+OWqmrh9LORbi+JSVLbfSu3W3EkOhmC+WX7wNtdj58QOUKUxlS9+AECi9PJ50Q7Ip12aBVAlJg+LIxIqrciCgRZl5mjVze3XpQkZ5iRQVxTY/6CkilDeYNyhiRYUkyfRyRmK5envBmNdbyM885sdJOussNxhRGcgLC1WY+miznWG4o/n6EcQTEhwAFistRhCRVwG0WPNCNweqyM+uODnJWP0NrI76fDVkXKdPd3uL6RGUg0IQFBQ44+w3fxSB9sILBaz6BYyMNUdDIayunvdD3bthQ0nZshCse7TfvfngGjeOfr/ej/N+FRU5psDuISEsNyUOsA9YD/T1I55ZujHCrVFCPR1P2+2/p/fNCAQZas1bs+bQ8m9ixdg5GnF4DpU32JHID/Zj/xwzwKdHjx6WSmfxQyrHAvBRi07EmyLgxdLz2ujAJhZYKkIIkepcv+iqackSEM27QG7ZEr1jbmQ42dcPhO9wwglubUJt+TXeQHBKkPvldlq50hGUCQnBGd3B0dAECYRbbpH2JicHu+GWlESnRlA8nxYt/DlMKp+VS+OQIuDH29aGDWOPUWmpP1jp3l1ARXIy1q9+5dShIkzrpGW/filtzsyZ0kcFVPy4TBFSbIHTb70tPwtHj38oJNoYL9k9MG1IWLSNCgT6uaj7xdg50DlaUODv6p2aGp3DTEVKVm3SNYEKmP5Me5/jAZB586K1ZWlG7D7oLu+phhF5x/X1Ix5RWbnBd+p4SuRaP46O0s74aWm8a96BcEu8JOHaaFWOllfWobrvsRI1+of8qS3wMTjMxbKsw32LH2WprFzDs88WA3C8fWyx5xxFSSkCTkRs5icjvJ+m9m8DPNdk2n87A5NweD6mCZOmiH25VSv5O2EyfGA/vsXazXNyhLtQXCy8iuJiaJIE34bse3pummnfdO1are124199VXgoOTnCwRgzBsKGcA2Ki4XHUVws3I3sbLjoIrmuaVPhKahiWcJZSEx0t2v9euGq5OQIL6N9e6n7ww/d5yUnSzufeSa6vxUVMHGi/H/mmcJnmTIFrr7afW5VFZx3HgwcKO3Zvh2uvFL6lZMj7d20CUaOlPEuLRWeE8D+/cK10Md/0iT417/ggw+kjSUlwu0Jh2OP82uvyf29JSUF/vQn4aJ89RWkpsLw4cIbys6GDh2kT6FQ9BiAjBVIWwYOlD5s3+48u5wc4QfddZczXtdcI9wexYFqDJwcgj2e55SUJM/vgQegrMzpr2nKWF97rXDFKirg5pvtMauBvcg5J50k9x84UMZZzZ8//QmWLHHuVVAQe+z85ujgwbBnj7RDfz4TJ8LmzcL5Uf1YmyTjZ5ry/G66SThNN90k55smfGvXf76hvduesVb3njrVqVv9JQlahmGU5x3Jz4MWBhTgrAehpKTIO+5dPwwD8rzvWZ5wduzXjC8rVkeubQ+ca/9Va4/iwAwadHZcDkptztu6tYpLL7qAjIzTuOSSC+nXryeXXnQBn3zyMRC8nq1fv44vvlgf95zDUdq2bc/gMweRHw5TjHCwioHR4TCDzxxUa25O7ojhLF9cQjGwwa5j+eISRl437LC0+ydd6qAMOaCiJzD9IZWjpfHRUb+uufHzzEpD3F0rcLyrlNkrXqh6fdcW2REG7Dp7G8J38NtRxzNdebU1uplCT+ZZUYE1ZUqwO7uXg9K27YGb1PRPrB2/8gjz0wzpbvWWFT+QXWqqmFZ0DZU+hso0E2v88/IOTGuRmOjEQvLysnRtTPfuwW71sfKnefvYsKFoscaNix6v7GzRuAFWgxCWUZucVPZv8cyeZ58t2pTOnd2mNMUV8hun2qQs8WqvDoQzFktjpodDiMxXjePj1ZzpHmN+Wrl+Xs81Q3hA+noAWD26pVsNEI6gWj/U7/2875nhTm5ZhONS7wpuGgpZ6d26W/PnvxilmVHf/fJNxdL4LFnyodWjW7qVZhhRpiplUjsWNT7ffnvwruJHO4bQj+VzzJi66oGP+4HEq1fZqDshQGcaTmweHQiBk7FdB0Eq+WgpscGS/lKdFEeQjkNMWfq9gxb11q39BWasTOHqo7ugz5kjpo/ExGhhFI8gHMRZAaycnNjtv/lmEe4tWgTn3dLbXttAdspMpM5RgEkn8AZd2717NIjxc5lXQQ/jjY8OwoLOufvu4DxphYXu/GUqKKBffCIVQwiEMN+kcezx13+rTTRn9fELYBk0V7Oy/MMNeCMrK7Adrx3e+Vbb+ak/e6/7fXq6bAQgmMSug5ugPHt+QUld4BmJyp6Iv4lsAwKEsmPUob63SEuLEvxVVVVWRUVsE47XxBMk/E/vmxGXJH20g/TV1VX8aEeN/rF86oHPQZajAXwU6i/UFgBvALMihNzojf3RBayzfBYk78Kng6VksE4EqxlYDTXyaEmJAIDEREeghcDqGXIEStCi3qBBcILOceMcgmfbkDseiJfbo4SNty79+4HuwGsbbC8724k3dMopMg5eLys9c/rTTzvALhagUm3wy6itcl0FkXe98VX8IhCr7/HyfzVt6vCENmxwaxN0EvnTTwtgu/lm4St16OCviVMaHXBIxt5xVW1S6TVqqzEMynrujcekAHECTtypMWP87+U3dp06ST+GD/fnZwUBTa+GUc3jlBT/8zMzg4N2qk9Dw/1bEIm9OVj94oCFRG3tKEYATeeOnayysuVWn9N6R22u1MdPw1IBVlt8YgWBlWSvS0X68XDYyh4yJAJGCpEgjUX4Zw2Px2WcOfPvcbUqP9QgffUan0MrZ+OVww586snN7gcSq16F+lUE15I4ixqI94UKQOgNZpiMsxs7Ewlm6LdTU38bh6J3nh06YCU1k+OKlKlcnb07Zi9IATep1bvAtwxHn68La6UV0b2BlOkolvDUNUSpqQIwiotFe5OSEt9DKD3dcav2Cnm/IHj6J6hNKou5H5g76SQn6rIX5K1c6TZTBWmylOAuLo6fukIlFY0FLBUwigiPweKe7qfR6dIleKy87VSkaC+YUcI8KcmtMZw2LTpdhp+2UPXteE8//J61Gktvfi99jnr749fHRoaY+PS6ExNlfJs1c1z21SccFrKyHrTTzzyakozVthYgXW1qVIR1l8bGfq9jaU/0dz/y/Lt1txYuLLG+/Xa7ldE3w0o0jEi9fubzLURHZfaayyDYK2z+/BcjdcYL2KiEf220Kj/EIH1HW1ulf+oagfpof44Z4FOv8XE/kNpofMbYL3q8HRBg9QbrljgLhismDz47M0TrE6RB0M0GoRDWsGGxd/4zZzoajsRErI4G1qk+ZpCUZDmu2u5d5IOi8yrzkp9HUZC5wtJMaX4eQjrIUAkm/YS8zpEZP140HCqmTVC6COWxpMbvjDP8x1n/xHPFj/A8+kUDo6ef9gcXOrgbPjw49EA4LOY1ZRYsLY0doTjIxJWdHa3xKS4WMOyX+6tRI6x166JNbJ07S0ykggJHCxnLy1DXkngT4nrnhFcjqPdDxWRSQL93b9EEejcH+vNLTXX/lpkpYEeZF//0J+f51taUF8ssGMbTFm1diLV2JGo8miL7u0oN4Zcs05WbTqtPRXL2eoNmG24OoTesRpp9fOzYv7rq9OMT/djySQWBjIULS466tuqH7ll2WIHP3r17rUGDBllr166Ne+6yZcusPXv21OU2R7UcDeCzevUXVmrz5pHFIlGBAfwBDTjpK2Itck3tOrp76lsN1jwkKJs+0fv1E3CgtDjJyeLmHS+nkkoXUFjoCNkGYeEIxVvgRQ3vvztXMV0aN3Z+KyqKjnuTlSVtSE4W4TR+vHMvPyHzxhuxQUbQcT17t27eUADKC6hABLfOzfEzXajYOLGE3Zw50Ro2nfCqm6u8z6h1a0cYq/ODnsnChVhPPCH/K5ORX7vikd0TE7Ga288pwcBqbmujvJwc9V2Nqa6N8TNd6s9m8OBoIOVtj3pmyoTnNZup32NpyTp0iM4ZphPYMzOjtTcKAK5cGf084oVOCOqLrvFJ9gCKZMT8FU97UhRw/JFHJln9+2dEJctMTTWsbt26Rq0fsdpXqPch4H4TJkxx/e7lEx1KwXusaTGCQMbChSXWs8++YFVUVBxyORTvczTiIB0OORuv1Fnj8+tf/7pWwOeHWo4G8Bl85qBIFuRRCPgJIiinay+L0ugELS7jEAKjOn8lsiPzCmhd49GypRvI6NGbFTnUu/jr5iHDkEzuJ2v3CFrglareT1hnZjrt0KMgG4Zj0tEBgw42dOHo55lTm2SkfscTE6VdOi9G5+nopjklWLOzg3f4jz8e3e94WgBdw7ZggZvfpIOXe+7B6t/fBsBN5blWVTkauaC+eyNOq/Z52xWvngYNsFKUiQ8BELEigcdK6ul9BoqPpjQ8hYUOuDuQfk2fHn8uKG1TvGcT9JseCVvXrsW6prTUPxmrrrmL5bXp641lryn6JmkL0RyfoDY1RMxoT+OY5IPGLNEwrF49e8o5nnbqpF0/E09iKGS1Obm1NX/+S4cNYBxtLUYskFGXuG8H+/kx8IwOexyfyy67jJkzZ7J///66VlFftLJ8+Qe89fYidgCFSIydEBL3pAaJyXGi9nc90BPJj2UhObNywRVHIs8+XgqsAIbb97rCgLIkd2yQDRvgllskPsnkyfDNN5KHCiT2iGlKHJLeveGtt/xjmuzZI+f9Dphuwkt2Oy+07xsUqyShMewOOTl6GjVynzN6tPx28cXwxhswapTcZ9o0iT+zbZvkjpozR/6uXy+xbu65x4lR8skn0W1o2zZ2u/T8W/rxPXvkfxX7ZsgQac/evfDddxIr5sor5W+fPhLHZsEC5z7eGDLPPy9xbNRzSE+PjmOUlydxiBYskFg2r78O//ynXL98ueT4Avj0Uzm3Sxfp/+23w7vvym+7d0sepvnzYca02H1fsyY6zk6DBjL2erumxanngQdgmx1I5jLgIcs9lz75xBkj04TZs6Uu1ef0dCfXmF5vp05O3B7ThJ//XMZ7/frY7Zk7V8Zvzhz5bppw7rnBc+G55+TvWWfBiBHyf1AMoFi/rVoV/c5MniyxdLxjmp8vc2vAAHnXWrd2x0o6rRpy7TENilkzA3gQ95qRg6wVJu6YPjnI+lAMzInTjxFAhn3NlfiPmRrrbr37MtWeIN4YQnocoKnTZ9NzwMBIO680YIdlse6L9Qwd+nuGDBlAeflyalMqK9ewaNFC1q1zAjIdi/Fx3n77Td58exF/ranhMqAV8n5MqKnhzbcXUVm5Nk4Nh74crThIR6XUCh75lJEjR1o9evSw+vfvbw0bNszKzc11fX7o5UhrfHp0S/dVWysbvtc7Kwvx4krDMSWle85R370ERmLs6HRTifooT5wNG+LvjMM+sUVeITahVWmUFAE4JcXDBUqR417C7YYNor1Q+ZkiY5MlEZa9LvR++ZOCMql7M7ar9nbu7JCkvXWr/8ePd7Ks62OjZ1y3bPOb95hl+XObwmHH08iPt6LziNS4Kg1DSYloLJo3d7Ry6QbWGT6mRUXO9Zr5lDlPEcv1+8YiEKu+N/HO3yz3d29kZ9WfRo1E46drO44/Xng96rmr+6tI2kExiHr3jq2l0WMy+Y2xMrnWReMT653xavuystwefOq8P+LE6YpnytI/KWDdj5NOIx1HE1TiqSee+Uq5zasozv18nn1qqmH1759hbdq03Vq9erWV3q17zJxe6lNWttzO1m74xpaKpaUJ0uq88cbbx5QWw48/pcjgFm5N2KGUQ7Ux8/2UND51Bj633HJLzM8PvRxJ4BNvwk1H3Ej1l6WTtmD1Ugsr/mHlFcdnAxphOmAR1k0lIGYkXcUfj5DZPNEBLYWFWIlNxXVd9yRSn4QEScmgrr3mmth1J9p1v/KKfJ82zU2ELSjAev/9aHJst25Yy5b5uzEr04trIcr2J9kqUqweb0hfnOOlkigslD77xQYKEnYgZpJ//9vxEvKScIM8n265xR+oBH33G4fKyuhxUIRdPTZRbTzgdDOolwujJ/BUplM1znrd4TDWrFkOSNFd1tXcnD7dPwbRuHFEQickJsrYqOCHXrDjR9hOTZX7pyVHg6o+hgT69P6WkoLVp0/0vNDzxCWA1V5razzQoT5ZRJvBlYdnUpMm7v5r/59BdOgLZYpajfTDG1BRPQfvGjUtYE6d3i/DGjgwM3CueUHMkiUfWo88MjFm/5MNw8rom+ErwIPMRj26pbv6pz5HKz6OSkTqRwb3goxDIYcO1Mx3LHmWHZPA58dejiTwiRe8qhfByUZLtAldGyJjXEJiYbRrenq6ABRvhGLfhbHYPz9S2JDIvfqxs86Sj34sFigbPlyAWWamCHrFqdFzZumuwrrA0rUPHTqIdqltWydAYnGxPVYeTYcivS5c6AisWOOXmRmcHBTELfpnP/MXqrq7uk7i1T22/JKDqlg3XiDkJ7xVW6IC2/mcq2u+YnlsNW8umhmltfNG6E5JcTRr8UjEXq81dX5+vgNyRo1y5qV3zuhaGxWDKCkRq2E4GPh5j8VLwJrp49U1D5uY66krIcGJ2ZSaGpwnLqT9H6QZ9RKSxxH9HLMRMKLe+0j8HgQoqf9VxPcZ9rnT8AQp9Bmnk4gGWslgHZecbCUbhlWAgLNisBLC0ZrbtDTD6tEj3QVa/ARz0PvfxtNXJcDjbRxj/XYktRiRdsYgg6cahtW/X8Yh4/gcKFn5hxoH6YgCn3379lnvvvuu9eyzz1rV1dWWZVnW//73P2vHjh0HU+0xUY4ljU+s3662/2bhkA69sTwUoNpiL8zx4ti0bStxSJra3+fMEY1JrKBrDcKxwUdysnOO+qSluYVtPKGofzp2dM5VYCTe9QogTZrkZGHXXZOVmS1WkDpl6ispcUcvVouzitPiFRpDhjjXxWqjyhLvdU8HMZ/deadbOPgBsezs6Czz3vs0xgHSkYCZnnPjJYxNSnIDIHAAhvocdxzWm2/awnVafE8mRW7WCeYgAEZlKVdjqmI86W30M33qYRn8wF3XrtFm1JhtxNGsqrHTY+g0sedVYrNoT0hfTVKyeLwprUxQpOamdv0riY6d09vAWoZ7w+SXpb1C+7/U/j8BdxywEkQz3AysLp27RGVg17VHqcnJUeuTvrnyS7Whgw1dMJcEzMOIxkebs7oAj7dxTO/W/ZjQYkTaGTCv9LFVUa8PRg4djOnqhxgH6YgAn6+++so655xzrO7du1udOnWKxOq55557rNtvv72u1R4z5UhzfAafOchK9djBU4kfj6Ox/Xc6bs8ttO9q4quYG35xbDp3dqc78AM33hg5bdtKWH0V76Q24MMbATklxW3i0SPe6hGkvZF6FVDTd/qqDUEu1zrQ8dvRNm0abYJKSHBH8b3rrtiu/Lo7tjJlgMMPCcro7uVVnXWWjIs3Ro1qqwrg5+VcKSBUm/v0NCQG1A34n6tAR6A3XkgAsbft3vFR5jblDRhrfgRpfCA6E7qXm+OnTQmFsF57zcmxFkvTqa5JbBrnXERID7Pfv4ahkHM/7d5ZnnHoTux69X5VVEQDBhWA1Fc7lxxtLlF8IH29WKD9H3k+p/WyIFrrowRx81DIV9t8et8Ma+bMv0etTyrjfBCAe+SRSYGCOds2sz30kOMZmZbsb2ZT/dSDIPr9fizEx3H1N+D5j8UN6rKHDDkoOfRTTINx2IHP9ddfb918883Wnj17XEEKy8rKrLPOOquu1R4z5UgDn4qKL61up3ZxC12w7lKLYcBLnYDb5b0f7rw76fZvkair2kunC+eKCmeH/8wz0bwLP16LX9A8Fcwv3o5ef+EzM91C2y9KbteuboCkA6nVq7EeewyrfXt3H/1Mbg0aSP1+5hsvYTkzU7QVbdu6hXqQK783jYUyUahr1RjGWvxycgRoqXH1mrHUc1H38mqQdI1UrPsUFTnBCr1AorYaHxBytg7wYpnXVF26OcqrWdPJ0TrHR693/Hipq7TU0fJkZzshDgoK5Dd174wMp32xQhdEnlMsragPJ0wnlgPWKdo7q3Pubo7TBgWW/DhE3Q15v5sGPCsdlCXb773feqFrfB55ZFJkZw+iNfYzqbcNqCsoMehq/Hlc+vtwet8Ma/Tov0QJ5kqwWni0hilKm+xpRzyXeK9W51jQYiiOT9TcNw5cKxPv82MgKx9zwKdPnz5WZWWlZVnu6MwbN260unXrVtdqj5lyNOL4nN43I7Kw3Y2z+4oVyycZIUbq6mevF1eK9n/QouslwepaDBXorzaeYEl1TCCqdrgg2pGgQHDea70mCt1zyy8dgM5F8muf4pG88EJwks6ga9u18+yk7TFVgGzlSkdAR3vCOPF+9OCC8YCHDja8QMgPYPiZ0IqK/HlbqamiZfHz2OraNZgoHc+zyZvYFRxtnbeuhAQnb5qXzK7maVUV1tKlwZo4HZTEe+79cDwlu3vq6xRkqrKfXZatlUgDqyXRMXQS47QBRHPr5Qnp/VIapVjgqaX9znu1x1nqf8OwenRzuDZKQMYSkn7aI6Ux8IIOv02Wa77hTqfjp/HxfWcD2lZWtvwHw02pqPjSNyr2Sk/fDpVW5odOVq6rnI1X6gx8evXqZa1Zs8ayLDfwWbZsmZWRkVHXao+ZcqSBj1p8vGkqKhDiZDruxfAsoj0zOtvnVoD1BlgDPb8HLUZBAeWUaloJntp4gjWmdlwZ74I/Z46YkWqb2Vq1WxFm58xxtBi6G7vuOr5ggWPSUNqCoJ1/797RYxJPm6UvZLfeGi2Mhw8Xns7tt8c2l+neUrHul5CAdcIJ8n+jRtFASE+E6gUK3udXVRUNfrOyxLvNa+JMT/ePYOw1P/qNj/48Zs50QiUEfYqLHUCs3NS9oCMrS7RyfhpJZWJU7Y5FPA+Hsf6Kk+9LBxvjcYjAsYDLQk0g9/bUk06wJinBcLuZl+JEZT8erDzVljjvxzP4Rz8O2hgpcJDerbtr3fEKYD++kAJOfqAj5nqh1dEJZ1NXEmd8a+sSf7S1OrX5qHbGM9MdbD9+KIDwUMvZeKXOwGf06NHWbbfdZlmWA3x27NhhXXHFFYfVnX3Pnj3W+eefb3Xo0MH67LPPXL+tWrXKuuSSS6wuXbpYAwYMsGbMmFHn+xxJ4LN69ReRhSfy8nteBKUmn4M7KqtOUE0E6/SABfffOFmr9UU3HgkWsJ5/PvY5KkJx2JC4Qw19XNcbNIjOeO31HquNqUylbFDtjpW9HRwtixeYjBoV3JcgkBjP9KObVxo0wGrVSkjiyrzl/ZSW+hOkddNRrPupaMDqHKU1W7YsOkFmKIR1992xwaQyNSowojKt+xGGY7UrKNVHKOTvyt8yLMTceThhGnTNhmpXvHka67esLAHj3nsnJrojlvtpV9Sni9amWMD3DI/pC8TdfaX9v56AVM3H6Qhgaenz7iZjE5ATGkQ2EEEAzptNXa0biaGQ1Twx0UrWcnTpBOF48W508naQxiBKmAdtXnAAld+mLmh81RrpFeDHWiqKA/0EaWUOluPj92x+qGN0oHI2Xqkz8Pn666+t7Oxs69xzz7U6d+5sDR061OrTp481ZMgQa/PmzXWtNm655557rKuvvjoK+FRXV1unn366ddNNN1kVFRXWa6+9ZnXr1s167rnn6nSfIwl8Bp85yEq0CZJF+Ieab64Wd9zBy5SnlnchVf93MsQ7o6vPb0oYxVps2rQRoaFcxwN3y4YszuCvrg+FonNrpacLgNGFRG09uxo0CNZUeXk1fh5mjRq5+5KYKCBFBfALGpMgbZZhBGdvT0gQMrJXcxTk9aIScarn5QWrKqCjAifxhHGnTsHPLz3dacP778vz8JoPVQ40fWxi3dObD0vndvh5VqUmi5lICfliJOilPg9qk9cq1m9+sX0UOTtojiUYYvKag2OeiTc3ldbRS8ZPS3Y8sRbieIOp+D0btPe6CIcXpIMPdW8/U6FhCDDzrhvJiJODX2Z1ve6ysuUigH20Ki3S0nwBR6z1rkWLtGgTabI/AdtLtg4a37Ky5S4BfqymojjQT5BW5mC9un6KnyPmzv7SSy9Z48ePt+68805r/vz51vfff38wVcYsJSUl1jnnnGOtWbMmCvg888wzVu/evV0JUQsLC60hQ4bU6V5HCvj8859vRXFyuuLsLtWnO1g9EK2OMnGV4p8dWan//XaxzY1oAFIboBEUFG4QWE9qC6taxC0cYuc0nN2zdyfc0tOW7t2x+vb1BxcJRnQ05ljtjmcW8AOK+veg6/wiRaukrnq8oDlznOeh85Meeig4oKOKVqyA0vTp/tozvf+x2hoOCZjxI4wrbop+LAicGoYQe2szrl7gpPpVm2fm5Xso4amCVtZF49Ohg1OPiu2TmCjPLUir6PfupBOfn6VrBlXsJ5fWS80Z+6+KpqzAjv7+qI8ODHRwpydyBawpRHt2GmDNwvEoi0UQjmUWmT//RWvs2L/WKneWMtt7Xe7Tba2X4hxlEg3sgsjdPXqkR93nh55Q0/vRQd3RyNX1Y/j86AIYbtq0yTrjjDOslStXWhs3bowCPgUFBdb111/vumbJkiVWhw4drG3bth3w/TZvlkE8VJ/Nm7f71utNVTEOSQToEkY+i1lthL+uRVBCzY+bEZS2wS9AnDKnKB5KOj4JTw1R228B6yzPb1mGELebIiDMC9qUsPEDBY0aRgOloF2+LrBiaQJSU6MDrSlvJz/TnJ5sVJmCvOPuzd7uNSkpzVEQRyboeV51lfCtvGPTsqU/UOxviFegrj3Sr/vZz9x990uk6Z0Hqp6uXf3NLU19gLVKgJuXF/95lOBoO973tNkPdKhnkp0dPQaxMqPrIQH83hv9uwrKl6zeI5+6zjrLP8q10gKqPk7R6vK+13o0dh2ceDU+sUA8YGUaYkJSWqVM3Bpjv7qVsN20yS2AKyr8tSpr1nwZuNbNnPlkBGQpjqIfIFPrR4odkRmCyd0LF5a47lFWFt9j6VCu30f6EyQv6j+1G7d4pc7AJzMz0yooKLDmz58fITYfrmKapjV8+HBrypQplmVZvsDnqquuioofpDRDx2oW+dWrV0de3i2IiUt5cCkglO75rkdhrU36CfV/rOzSfqkc9OzfsRbcUMgfvKQbAnKC4o3E9fwo8o9l4v3URhDE8+QJ+t1vTJ5/Huvyy2OPe2KivwfajBnSHxV5OBZXyK/e/HxJf+AFaqmp0bmuEgysFh7hEStYZLyI1ODWhJxxRrDXm/7R+T4DBsQZb482UKViKbWFZ2efeyhQNW2am+Ctgw7vnEhOThR36wAQ5R33eT7CuKgI69573X30C9zpjXKtzFd+77UCQ8m4zVUqDUXLnx0X5QqdkhJymdVUmphOIbmun3oH8DehKy5JUMkeMsRXqxLrmgG//rUvKOmEbHiKPH1uedxxVlVVVeReOrk72TB877VgwYIIuNLvESFjL1gQ2L76Ul8aUMfyl7/8hQ8++IAnnniC22+/nZYtW9K7d2/69OlDnz59OPnkk+PWUVRUxMyZM2Oes2DBAt5991127tzJddddV9fmHnDZsqUayzp09YVCcNxxSa56ly//GJBsuDnAu0jm5ClIpt4KoBzJJnyZXc9lyJudA4xFMrkvXizZnlVR2ZHbtXP+v+YaWRmKiqIzL2dnS5bq/HzYuRNmzYLHHoOlS+X3Ro0kW7hlSZZmlTG9Xz8oK4OJU5z7X3aZnJeTI9+Lbvf/LdO+d1AW6BYtJCu3yszduLFzTkGBZLQeMiS6XSqj9yuvyLgMH+7f9uxsyez90EPBbTBNeOYZePRR+PxzeO89yY6uStC4t2olWba9x6+9Vv4aRuy+v/aa+zd1/cSJ8re4OHi8e4XgcQs+MCHXQCaU3Zcp2nM69VR3GyorY7cJICNDnoe6X0WFzJO1ayUrfEEBUWXoUPk7a5aMV9u2Ms+8z6xTJ8lgngNcDWwERtp1rAJeMeAz0+nPySfD8cfDBx9At252Ww34PATVTWDcOLjoIslin5cHDQ24wIQ3DIP0rj35eOVH7Kz+LjJuIPPG77lNNeDjJCieAjU1cOWV0q9WrWRO3H+/jO+CBcHPZvFiaBmG9jXx3+vt9l9VsoHzgRHfbqF//wxycpZEfjMMi8cflwzzOTnO/FyFzLMyLYt7NnC5p+7O7dpzwYWXsHTpCtq2bed6dpWVa1jwxhvR7aypIeeNNwKvWfzvf5MO5Nt9ygSes9vk2+ctW6io+IIJk2dw/bXDyHl7UaS+03v3ZcLkGWzeXO26T1paS0CyvmuvYCTre1raCVHX/JCKn7yoL/GLGrd4xajrDX73u99xzz338MYbb7B48WLGjBkDwLhx4zj33HNrVcewYcNYsGBBzE+rVq0oKyujvLycrl270rlzZ84++2wA/vjHPzJ27FgAjj/+eDZv3uyqX30//vjjD7h/rm3EIfp46zVsCTgPWADYchEleyo931VRsqgGyDJEsBcXw8aN8jc/X0DJjBlw/fWyAN5wgyPUFi9216cL1lmz5PyJE0VghEKQuB+qq2VhPfFE+dupE/TqZbdPa2BVlQhYVW6+Gc47D7ZutdtuN34lsduyaZP/cRAQ16oV3HVXdLtat4a33oLvv4e0NPjrX6PP6ddPxqlt29htACgvh4ULReBZlly3YYMISe+45+VB8+bwv/+JwNWPJyTI//36QdOmse87bRoUFsJTTwlQzcuTfo0fHz3e+pjeCyyzoBfwvAFJSVLPjTdGX+fte7yxyMx0QKi634wZAki3bIEHHpB5k4gItxL7+uefhxNOgKuvlu+VlfJs9OdRXS1AFqA4JPN7rgE3ASFgtAFLkpyxLy6W+bR8uVzTKwTLgBIT/mXB7t0CwvT695nwAtDKNCn992Kee+FlmiY2j/QzFIL1693PLT8PBoSg1HTAfb9+7nFSz9Re/gKfzc9+Bt/UwBriv9cWIsAXICDpdQS0AOTl3URZ2XKeffYFHnlkEqbpgJ6yMvcYNW8eomnTBGkvkGrXVQHcbNf32erPueaaP9OvX08uGXoBW7dujaxP69evj9nO9evXRa1x6pqngH4IyDoRGBOnz+vXryM5OZUp02bRv19G5Pf3li7h+muHsXXrVtauXcObby6ksnItbdq0Z/CZg8gPhylGgHIxMDocZvCZg2jTpt1hWcOP5AeOfht+iJ9alYNRF+3atct65513rIcfftgaOnSo1aVLF+t3v/uddd999x0qjZRlWZb1n//8x1q9enXk884771gdOnSw/vnPf1pff/21ZVkOuXnv3r2R6x5++OFjmtz87LMvWAZaNFbtrwXWPz3f1UfZsTPBepho9b+XY9G1q+PKqzyh/Lx7lKq8aVMna3lHm4czbZo7Jgo4pgVluli6VMwu+jnp6XJvb9C8hoa/p1FKinBW/ILpJSS4Cam6m/NVV8nfIPd19b/X1VpFBw7iNyUnO55TuolGZWnX7xMrHcb06W5zUlD0YuU1Fut5BpmKuoaEW7VUG3vvs9CjX3v77jcWfmlF/MyJ6l7Dccw5mTYZ3Y/LdPzx7rhKehgBPx5TLBOcHlxPvRsNcZtVVLiHBgjB+LrrRlqANcY+P8dur37PBMOJn6ObNf2ene6p59dORUIfj9vDajUOpylWbj51zYQJUyL8G0Uiro0nZIIhTga6t1cCxCQG1yXyr/ca5eAwJqBf3rqCCMt+nmXLlq38UXh11VZe1H9qP27xSsiyao2RXOXiiy/ms88+o23btvTp04fevXvTu3dvkpOT61LdAZWvvvqKQYMG8dJLL9GpUycAqqurOeecc+jfvz/XXHMNa9as4a9//Su33norF1100QHfY/PmQ2/qOv74JFe9y5d/QPY5WUp7D0AToCFi7vovcCuQBExGdkelwGhkF/UlsAvYg+yMLWTXnZQkWpcBA2Rnmp8vu9/ycjj9dNl1f/ONc8/0dPjHP2TXrZtykgyoNmX3OHeubdaa6NSbmwvsALOpaAxWrnTu/atfye55xgzRVpSXi/bh3nth+3ZZ9aZPh5dfdt/TMGT3/OijsGeP+7hliTbk2mtFs6Sr9tU5p54K//lPdDurq8UksmEDTJjgmFlyc0VDsHevezy++AJ694aGDZ17bNggmiZVPv5YzjW1B5iQIHU1aybfL7pItGhz5sjxa66RehIT4fLLo9tvmlKH3ndVZ/fuYg5q1Aiuuw5++1upKz8fTjoJvlwPParhCwu+CEFKSvQ4tG4tZsDSUsjLhYY7YXONdq8w7KlxtykxUZ6pbipU82n8eBm/++93tznbgGwT8nCbf7C/5+TIc37iCalLadHeeks0iZWVMGmSY1ryjv3GjXIdwHDgTuTdyENMRRaiATgX0Tpow4yyAIYRrdJDwAagFaKRWWufP5WIZc3Vh61bIStL+q9KlgGbgA1JMHmye6waNnS/b4bdgIYG7NHnjgF7Tehut2cC8v9Q4HOf9g8+cxD7zP18+OE77NhhBo5RQYG8hzt2yHiqOh7H0TJjj1cOUFa2nDZtxIR16UUXsHxxCRNqapz1Jxym54CBzJ33In4l6JpwcjI1330XWFdl5RoyMk5zmcP0dhXZY7EYyNeuW7duLevXr6N16zaRdv/Qi5+8qC/xixq3uKVO6hDLsnr37m316dPHuvHGG63nnnvOWrduXV2rOuDiR262LHcAwzPOOMOaPn16ne9xJDQ+g88cZKUQTXBMJnYKimxkZ/+09nsyWKPw12roO79HH3XOueUWZzerEzNLShwytGHEz/ukciSBeO4EZccG0QxMmeLeRXs9xUDIs4B1AuLNNXasO63CGWdEaxKCyNuqnc2aRWtBlDbF62bftq0kt3z6aazGjf3r9ctfpsesUVoz71jo3kR6vrRw2M7qnehO5qrqTEqKDoZoGFinn+5P4o1H/M62ve+U90+3kBB+i4qcSNjNm2M1juHiro75ubA3IVpbYnm8uFQdeuRqve1KS1ZY6A72GBSS4ETt2AaiA32qlBKnIBoh9W4pTYRyMtDr7m74u1iHQuJgoDROVUQHJ2zRwl/jlRzGSvE5bhjigZWu5qeXzG1IOop0RBOS+esBVkZGRszn7Up0GhKtnBofS/voru1qjTrQyL9LlnxozZz596iM7rXR0MRLqhkrevSP7VOv8Tm4cYtX6gx8TNO0Vq1aZc2ZM8fKy8uz+vbta/3617+2brzxRmvevHl1rfaYKYcb+MRTIyfgXvBCiCusX84ctSC6hJpPagJwovLqEXGVqtwvF5JhxPdiUkBBnR/kpj12rFuYBS3UiYn+uaDOOsudcNJ7vQIQQe30gpvMTAlgN2MGVseOkp3+5JOj+9+5M9Zxx7nNQPGiOI8f7w+M9ASjqh5lWlTmEu8zVPf6xS/868vO9s/iHjQOCbgj8aaAdVxAbB51765Ej8uDYLU2gvNX1SaO0gknOAAzLc1Jm6HavmWLf8qM5s0d86wah3aGEwQQHECnv2NbfN6VsA029CS/RTgeUdPBGhCK7r+fkC6xf28TI25RvLnTSbuHn1ekar/qX1nZcqt//wwrNdUI9FLT31UVLPVATFjxIv+uXv1FVA6q/v0zrHnz5kVdE1RXvDUxVr6wH9unHvgc3LjFK3UGPnoxTdNauXKlNXbsWKtz587WKaecciiqParlcAOfWLsbwxZGXk1QesCCoFxz/dxo9QXVL4hcdrajKfHLhZSc7OzmY2l8UlPjcw10N22VddxvodYBkN4WPWKxn2CPp5nS+19UFJ29XfFr/PgoK1bIX31hjwUu/vrX+ELfC+z0wIXqGXqFflDsoMxMJyFrvHHo5OlDiiEu0F7A4QXB/WzOSzMEKOgpRoK0jCkpwbwhcECfAjSvvho9P/3mZBDvqAJJ2ZKAw53T37FMn3clxQbmXs1qK7ufCd7nZDiBCP2EtIG4kkc0K545ooIOBoahQOPExAovoAl/v+SX+uZHvy69W3er92m9rUTDqFUqitp8VNZx9xoUtrKzDyztgl/6hlhrX73Gp/7jN27xSp29uj799FOefPJJRowYQd++fbn44otZvXo1l19+OZMmTaprtT+Zojy6PE40PIfY7ycjdu5W9t/JiAtsEY4HQ559jWnCJNvrpFUr+TthgvBHlFdQw7CsGKoMHy4cmwcfFI8TEH7FxInueiZPhn37xHbq58XUTN1/UrSLtCq6m7YqxcXideXnbaXOv/56d1smTZJ7TZsmv3s9kDZuFP6Et52jRwt/pHlzCBvCmbnvPhg0yPGEKSmRuidPju7/5s0weLD8BblecSmCvKBeeSX2WHTrBsnJbi+cJk3gjjuEU6Oe4TffwN13C78HhCfVoYPjKafqKy2V8bnsMjmWnS2cLa+3n2HAbXZbTkB4LttMuHOcuz9+XkKrksS1ezfiUQiwa5f8DfLe+9OfhJ+kP+dQSOZUSopcr+blypXCWzIMmVuFhTKH/ebktm3O89DvtwLhx+0Fvrd/mw9UAZm2h5b3XZk0WZ59EyBdn0/ATgMaezzKmiRByBCeTC64vIryEIncEZiFe0xVUXyfoLnTDrBfpZjhBb61/7Zu3YaUlFTmzn2R+fNfFE/MRLjkEuH16O8AwJdffsGyD5exwzQpAE5GODQ9Bwxk6vTZHGiprFzDm28uYuLEGs8aVMOCBW9QWbm21nVNnT6bngMGRrzBcoBGaWl8YRiB3lv1pb4caKlzHJ8//elPdOrUiT59+jB06FB69+5NUlItSEX1BYD//OcrDGAUslBmImS/u+zfg9w+C+wPQBbwC2QhCFogCwoc0mx6urhIr1wpxNbrrxchpJNzg+q57DIh8+pxT7qG4DzgQfu6721JExTf5vHHReBnZjpuw35Fnf+b3/i35YknBHyMGiVCU48H06AB/OIX7nZmZ8vi//rrcrxmjwjjrVvleO/e8Nxzsfv//fciiAsKhKBdUCDj6ReTpkMH+OST2GOxcmVwzJcLLhAgpu796qsOeNEJ65dfLsJNFb3txcVw4YXuccjKEnB7s82O/Z993DAkJtLbb0u9//1v7Jg0oRD8LARVPiT6yy+XcVb9fPZZIao//jh89JEc277dPeeysoQEPmYMfL8L/nabXB/PRXztWsfFXt3vLiQ8RBJCcgZx3b7XgP2NgV3B9bVESMXFyPs3GXjIE/9IH4e7gftwx8U59ZTOfPb5Z5RpY+uNI/XAfdAiDKO88aXyhBTe3gQV3Sxo/nQC7jUM0rt0dfWlpqYGy4Im3xMVo2jdOkg0wPzuu0gfFwOjDIPOffoGkpXjlS++WA8Ej+v69etqDVBSUlKjCMtpaccx8jp3fJ/BdQRp9aW+wEHE8Xn//ff5xz/+wdixY8nKyqoHPXUoJtADXLub3fZvXk2QFlqGAuB9YD+ySEPw7vGZZ0TI/PGPsmO95RZnlxsKQfMkR+MRq5477hAvlooKWcgNAz62BPQAnH++BB3MzhYBqGsaRuVBe0N292rnn5sr8Wz0nXRZmQjBvDyp3wuMVFs++EC0ABkZ0fFgJk2Chx+W8+bMxpHUyQAA+IpJREFUkfa+/jqkpjoLcSgkwAlg9mzo2BHuvNPph9Ja6Pe8+25Ho6U0ZE89JVoqbxtuuEF+T0z015K1aSO/BwmK0lJYs8a597Jl0VoPpdHLzYWuXaOfXWoqXHWV/D98uPw991wZ113aMy8okOdwxRW1j0mTkADrNUAQpGU0DPmMGOGAnsTEaE1Xebl4902eDHv3ybN46y3nvkFz8tNPNa1eHqQbEiQvHfFyLEaATCH+Wi1vfeuAiYgn2AjE2wvEE2rNmuhx6AU8YR+79dbbKStbzs9//nOStXs/bsJuTxypjGpYWiN/9ePbqqHKhK52m/20l3l5YIRgtQHfmSblKz+iX7+eXHrpBWzbtpWTT24NwL01ouFSpbxctD87TCdAqtImTzRN3i1bwrp1tdfM6EXdM2hcw+EwixYtjKq/snKN73GANm3aMWjQ2bRp044tWzYz/NrrmT//JZ599gXKypYzd96LpKSk1qm99aW+HDTH5+OPP7Zeeukl66WXXrI++eSTg63umClHktysYl38C4k/ory0XKHlcTgIK8Fq6Y05kiDk5CC+zMKFbi8PPx6IH+8mOTk6mWNWlj/JVqUP8MvtBA4vQhGsY3FxuoSiPWlSUx3ya0mJePksXCh/x493eBPxyNPdwGpgONwkv354Y+uUlkaTwVX9yitNHe/UyfbOaR49Frr3Uyz+xs03y73btInNB2nQwImxFJTHSp2rvNOCSOzjxsm5V18du30XXhi7TeAkblUk5zlznGcXiwMGDj/ncpxs7t554I1t1NLA+rf2XefeRJJ/bogdPwkcT7AUsDoFOAzofCJFsp058+++5NylYLXR6ij1cFVK7ePjEbJyU3sNKEb6k+JpQ0pKknXqqZ2stDTDQyY3rB490iNZ1lPsdSOS+gHhPqk+6m04FERhxfFxz7+w1fJnx7naP/jMQdb7739UK08xP8L04ME/jjg9Byov6j8HNm7xSp1NXVu2bOGGG25g2bJlNG8uEVC3b99O3759efTRR0lLS6tr1T+J0rZtezLPyCTvnVImIaasbkBTZKc5D7cKPR3hKQBcZMDuJAmhr8wMeXkwcqRjQsjKEu1FXh60bAlnneVoUNaudXbUajfbvr2/ecQwxAyhSkWFXBtkBomkD8gUTcTkyWIuOBsJu/8F0uZZs2LzF6ZZcH+1uy0NG0q/PvxQ0k2okp0NffvK/8o0oDRPXjOUYcDVJvzNhGocXoy3HypGTEKCU0d2tozjAw9Em7lU9OL0dBlf04SpU6XONWtgxQqJNL1qlTOufqk00tNld15UBOEw7N/v7pcqajfdvr1oVFSdQSY+ANNWJ86fL/fQTWe5uZLmQWm+DCN6/EaPluOdO8du0z/+AX/4g/zftKm0adMm4QFddFHwc3/1Vfk7HrgRid6c2ExiD+n9SkyUeXs10BwxaT1nwjVanfot7KDULF4sfb78cnd9YcN5b1QU9XRDYvIUe0x5WVkS4bmlAcebEgkZ4MknpjPqhpsA+BXCK5qKW1MLwlEBiZ5cCXxqf19gCP9IlZkGNDLBMIXX1wKJE3TP9p18um2Vz/tnkpNTTr9+PelzWm/ftBd3AX0ITvPQunUb6lqmTp3NyJHDyMlxzFEtWiSzZ/NWl1ktf3EJ551zJjUec1v+4hJGXjfMZW7LzR3O8uUlHhNvCSNHDmPu3LqZ5epLfQGos8Zn9OjR1h/+8AdXAtA1a9ZYf/jDH6y//OUvda32mClHIo5PRcWXVudTOrl2NEXaTqzC3q2BuNi2RDxNiLFrTkry7IRbYq1b5z5n3Lj4CR3HjxcNRkKCO+t1PJfxcePcWcixd9zZONmt43l/NW0qLrtrwTre63ocFk2K13W6YUM5rrQDfponpSVIxQkXEK8fqk1jx4qXWa9eTr1+SUyrqvzHyOudNH16dHRi5aadkCD9mD5dNCd+Wcn1LPbjxolGZdw46WPTpjLGkWjY9rnF2r2Cxv40T3u87QNHo+XXJq92UE/cGs+NOzFRnvf7Pu30atX8xh+Cva3SPe0tLMRq1tTt6dfAEI+1eGPUKaTF0sGJuTN79lPRSVQN0dAW23OuOdHu9E3CWCneOa09M70faj0ImrcFYKUahmUg2p5euLXH6fhokw/Cm8v7Ua7q8+e/KO86TmRqC8cbq8jTL6+XVkR7FvAMfqzeXLHkRf2n9uMWr9Q5cvNpp53Gk08+STe1xbfLypUrGTZsGB988EFdqj1myuGO3Lx+/Tp+c24Wm6qqIpFYVVG7s82I11Qm0Mb+Xo2sEEFRWufMkZ3zP/4hXkLTp7s1Hjt2yEoTFN15/Xrhqagd8Flnyd9//cvdH33Hqb6rxJWKcKqOvQEMAaYBd9raqtato6Mo5+U59zYM6bvhaaeKPrxihdyjqkq8s/Qouoa2g+/USer9/nu45x74fjvstURb8EQt+uEXndkwhAuTni5anTlznASeIH0ZONCpu6JCeERB99LL8ceLt5J+7gcfwMUXO4lEwU0I1p9XOCSfvVp7VUTgEDYysGJHQlZ9bNpU7tGhg3x/4AEnYnMDoIkhkb31ax5/3EnGqvcxZN9XRRbXoxur594wBAk1cBLwNTLfg9qZlwczZ0ZH9zZNaGBAM9Md7Xwk0obt2judkCDcqXPPlbk1KhfC1bDZ7lPQvRcAWxCNSiYwCdHW9uiRzvr15UyerL1XudCvGl43YTqSODYxzpzWx60Ut/aqFBhIjHkLLMWJdDwMSUyqR65WWjJVBp85iKnTZx9SzszLL/+D6665KmpdexAZqznAFdpvGxGe47PPvsCgQWezaNFCLrnkwsBnoM77sZb6yM11K7WN3FxnU5dpmjRs2DC6wgYNMHUpUV98y2/OzWJvVRXpCAlyIo7aNw9J8KdG0UDC8j9hwHb7YJCZ4cornWMdOkR7diiAEOSpogRUQYGkV1DC/JprxJuqEdDZEK8wrxkpIUEyujdu7BzrbECN3eb5SIj+1tXSDq9pRvc6GzECqneIqcGvnco8l5PjkGSVIBk1Cr77TjKv3yTWB6qqHCItCOgJh6PNTfn5YiJS/b7iimiQOGqUuGKffLKcEw4754PjVq9MRep1iGXaA0n7cf/90eagXr3E4+rEE4Wk/sADzv2UKQnknoUmvGm5BV1/Ey7CThRpwXcEz5+iIjj7bPjd7wQEz5rl1D1okBDHu3UT8u9kExYiRPvbkOO33ipt0udFdwPOsk02luUkjVXFMKCdKV5mhgEfa8tHUDs//ljuo0ymXvC+uxpyTKd+05S+A3QyYJUp1/rNra7AxzHu3Q7oYh8bC9i8bVasKA80Aa8BTkHehaB3T81p0EJA4AY+G1Fzy8CyTF+PsMb2uXcZBi1Nk2mICW8ccBqSQLYIcZKYP/8lBg7M4lCXJ5+YQRJCpI6Ys3DAzibP+V5zm06Y9nsGB2OWqy/1pc7Ap1+/ftx33308/PDDtGzZEoBvvvmGBx54gIyMjDhX/7TL22+/yaaqKgqRxacYx+Z+GbI+5yCLwUYkVsjt9k65eIp4InlduVWMlunTpZ5rrpFYMrt3C+ekXTsBJGpXHxhfxoKPDZg5QwTZN99IbJVt2+T3vdiZ1T3C66yz4Ouv3ceaGPBfE2zPbt6y+3uNLZBKTCdXUFGRA1K6dnV4LrFcmS0rttt1797OdRdcINcUFcHQobKgjhwpGjC9zQkJwo3auFFc3BUXxq/+f/9bQE++D1dn0CDhJOl1By3ipaVyv9xc4QHFOjc/3w2y9LAFM2bAa9XiSbRAjTWgTm+KzCvDiHalzssT4HnTTRKP57vvot3nGzZ0vLP+hGhU9gM97fqfekq8Br2g5iMTjsOdR65VK4nrNP1x6LFLhHEPA9ZrvJrzz/fnQan/g56LCjsA8CsDqj3ANS8XjOrguXUbkK9xsFRbZ05zwIXyprwJ+A/QPDGR7Tt2BM9XZP7DgbnnP45oSJTmanQ4zBkZ/WnYuKGLT5NtQLH9XikQ0a13X3KWLnHOwWn3Rcj8qKnZz6EulZVreG/pksB1LTU5mft37MCsqaElEo/ogXCYwQMGRtze27Ztz+DBg8jPL8GyarTnH2bw4IH18Xvqy0GVOgOfO+64g+uvv55BgwZxwgknAPC///2P9u3bU1hYeMga+GMsy5eLGdD2io7s6BThUVkcdiILxn+BMdpOMTs7mqCpYrQ0auQOkHbZZW7TkypBgvUPiKDaZQObcFjIpF4i7I4dcs3OnQKq2rd3m0s6Ier9PETToHbdhchHLdRTQvCRJWBEL7/5jYCUoHZ++qkQZiF2wMQuXYRoq1xtb77ZIWdPmSJ9fPhhqevll2H1aocsrEpQ/bt2QZMaCHvAU1KSANDWrWUXP2MGPPJIsHZJ1a9r3bznxnPxv+YaAao5OU4ohFGIy3Kk3fZf04STfLQuTz0lZrlYYPLdxfLsNthCth0RRQorVwqRes0aEeKffioApFMI3rc1X7q2Y8AAp83/AMpNt4bvrbdkXnsJ21deKf0Oei4q3EAT4CszWGs4f74DtvWxPAEYZ8Ko7XIvXYFdbYjJ6q+Iw8F6RCNbs3MnEGO+IqbemOd8KvNVBLxBt26dSWqaRE6ZA15U/JqUlFTWrVvLiGuvYv0nH3OJabIDIVuPtkHE3HkvUlKyiKFDL6AIAWmRe9p/W7duQ2XlGr74Yv0hS/IZievjOa7m381j/sZjjz3ImE1Vkd9apCXzwEOPus73I0wPHjyQqVNnH3Qb68tPu9QZ+Pz85z/nxRdfZMmSJVTa5IO2bdty+umnH7LG/VhLz569ACfy6gLgFaIzSLdAPLlsa0NkoU9NFQGzeLEs9jNnijbnrbccU1eDBj67ZVsdDtE7/nw7DsoEE84CdpvwDuI9E6SaX7BAIj+rohbw7oj57l1ksR9iwH+9nKJcuLwa/mCKqcArDN5/39ZMBGi21I4en2v1gIn/+hd8+aV/8D8VAfp//xOh8803Ivx37HB7yMXyqFq9GkJNoXMr+OwzOV5dDT17ynUffSTPp2NHuY8XrOpgVAnuSy4RbZJ+7omG8FP8NCDKNNfYtnEoMbkYf++d/sCnNghtivAuNpoCXJQzZhCosHbBIBvQpiNmlVKER6SbP7dskUCPhgHrGsIJe2BHjHpvDQGW+/fUVNFanngitAzB7mYyNraCOfC5fGu/WDXE7ssdd0hdXnCZaT/3cCjazJmbC+9Wwzm21ud1RItRaFmM9TFBqToLTHmn/bz58vIgOSxzWs3rwYPPZOpUB+D4ZR+3LIvcUX/hySemuzQ7enC/gQMHMfjMQdy/uISWnqzomRn9ue3WAt7UAwMeAr5PxEyF//xbsOBFamq+87yT33HrrX9xeWupaNQ/xuzr9eXoljqRmxcsWMCiRYvYt28fGRkZXKKHj/2RlMNNbu7Q9pd8X13NPqAhIoAm4eb5nA5gQEkj2LU7mNBYWChCpmNHMZW0aycgSBfe4FaHX2jAW9pvSiOjiNXzER4ABJM8GyfAzCccU8CMafDrXXIPL6EyqO2JCBk1lAQTNcLr9dfBjl2OJksV9X34cIkKvHu3CPxx44Qbo8DAaadJOz//PPa4qQB+u3Y55/XpI5qPKbZZccUKIcGqto0aJSkkxo0TEnN6uozRxIluAalIxz8Lw2abUH777QImx44Nbtcbb8g5JSXCUxqDmDxCIdgR8jxT22U9NdVNljaQ6MU6wTcfMZu8iGjkvtHOa22I+/YtfxPCdFDbmjUTongLU65X5XRgtwHLtbYpAvYtt4ip1LLiE7xj/a74Z+BPkh492k3Qv8qUTUNQnXp9AMkG7DeFCN0W4THFIhFbQBlwJULWvRIhOK9YUR45Py0tmT1btzPOsuiNAIFNhnDdVEkwYIApIR9qw7vZurWK3BHDXYClZ/ceXJ83mq5du0WBg23btjLyumFRAGff/v18/N6/mVhT4/BwwmF62tqigymXXnQByxeXMMEDtjr26sOSpUsCx7WsbHk9uKGe3FzXUlty8wEDn7lz53L33Xdz0kkn0bhxYyoqKvjzn//M2LFj69zYY7EcbuBz5oC+fPX5Km4C7sDN88H+ruRBYaEIyubNJe5MkBfUs886JiMFTs5GCKhjEG+Qdgjf4tdIlFtVGiCq8GUIF0H3jIoljPTzAM4yYJ4JqchCqtTbQeCpIbDPp54BIVhsC8o+fRye0tKlzr1TUhzukd4WBQZmzpRxC7p3YqKYo1atkng5GzaIUNc9sLZuFe3QAg3F9e4t4OT++8UcF2uMQojm7lvPOeedB0uWuAGVep7gjIUSzqEQpDSXPFOtWklU5m+/Fa2W33wAycNV4zQp4j2ohNxYJGZOMQJ4LzdggekPKvLzBRx26iS8p+6IWXS8/fxORXLJQTQxXo1FEFhJTxcwa4Qgqbnn9zz4xXb4zAP4QqHodCvq+YfDNnAEsgxI9oDq/Dz4rhpam2JajtSJEIBvB3oDHxA8d3qF4ANtfVCE6bKy5YB4bYbDYYYOvSDyblcgObyKkXg6a5H3UXlhlSLvSzyPJQUqdMCSi+S0erdsBSkpqb7mK11zYlkWGRmnBa47BwtAgsDWRZfmcM01fz5mvbUOtdmvrqUe+NSt1Bb4GAda8TPPPENeXh5vvPEGL7/8Mg8++CDPPvtsnRr5Uy2VlWv49PNVTEHC3kOwPRxk1zxokAhlPcR9erqAncJCWfB79HCuUWr/UYgAfAgRbh2Q/F4bkN1lKbLYNUM0PB8iJq+UJBFYLVr4h80Phx1Bpqcf+DBJBCj2PVQJCme/D7gX0SAoH8EioNQSDVV+roCdLl3kb36+AI/MTLm/fu/mzeX4008LWFFYPOjeCQnC67n/fuc85TKumxWfflrc11VZtkzu89hjzrEgc0pjYHMo+pziYnle+vM87TQBMsnJcMYZ8nzVomdZcFJr8dTbuRPmzRMgqF+/2yY2b7CfaXNkTBsgwPdJe2yX222w4xCyHBHyr5sinG83Hc+rSJqFDAk9oLziPkJAwi6E4Lwe8TwE0Yj5EbAb+9Tbr58D1k3L5/dqSA1FzzM7ZiqdOjn3MU35XmOjva8Qs9wuT527quE4E7Yiptgse75ayCakryHjAcFzZ00zd3v+mwQpybLgqnQLNXZDBiAmawUwBiCE83Ptv+pdt+M3xvRYqqxcw5tvL2JiTU1UEuNNVVVcdsmFXHrRBWRknMYll1wo6SwuknQWehqIeDyc9977d2A6idqUlJRUnp3/IhUVFa40E13s3GJB43qw3lqx0mDEKlu3VnHppZ5xs9OA1JcfXzlg4LNx40Z+//vfR77/9re/Zf/+/XyrDOv1JW7RF53j7GOedcAV8XXxYhF0gwYJom3cWEw9d98tyTbvvddxJddzF2UbsntNxMkdpAiWOxGORyYwF4mUW4N4tJSbMNHm9Sj3dF1w7NghpF6drBrJ1zRZtAZjgOvt/iUYwiny5u9qYc++2xCziYnsuu+x2/ugCSd6hFaPHnLP0tLo/FWTJslxpU0pLhZzi1+W8s6dBUzk5UmMHMW90JOLqpKTI1weXdBt2CDg75RT5JxJk9z5nNRC3ioETZtF16nn0lKlcWPJZj5xIrzzjphs9Ht+8YUAhexsAX/e4OizTPGSU8JwIgIs9yPA90okYaci1Y8Ky99HEM3gCWEBSTuRZ1taKpoule8sO9u519WIicxAAENr4Dqi+6mPxT77e2KikMxLS4WzM3asjH/Ivm8RYiatAB414R2feTZ5spz7340C/OfMkb///a+dIwwxVXUEupru9uwzJUbQA8ArBpR7QNXqJCfPWJ4P6DcMmDJNnsEnn4hGcvJk2PZdNf369eR3vx3C9OlTWbmyXMYD8aL6SI2PuzmRd32mYcTNOB4PsHzw4TKWl74ded+LgeWLJSqyXnQejl5eR8buxhvzo4BTXUr79u0ZPPhsH2+tsGtcxVur7tnWt26tCgR8tSl6lGg1D5YvlyjR9eXHVw7Y1HXKKafw3nvvuVJS9OjRg1deeYVWuu7yB14Op6lr7do1ETXzXGARwvGZiMPHGAWcDHxiQDPbPNC9u6SUqKhw6jUMt1ZAlSybN3AXbjPaeQj5VecT5SPC8iMcroJXFT13rtuUU4AAp3iB8EBinvzcgH9pAihsQKLpjvORi3i0tcBx/QXRWpyD7IiLi0XgZ2fHvrcyKy1bJoBm2TLnPG+29nHjhBulTCe6SaZVK3cwQlWU+aZTJycNBQjQGjoUbh0rmoU9ppw7d64kYfUGbGzdWgi8inTdr5+Qrk88UUxGDz0UfU/l/q7iFT1gitlqA24vLhUUDoSzopt1lLeel7gb2gFmjQS4Ky4W4V5Z6TYzhkKw2nIHyrsf+CXwqY85S5ngmpgCsuYZbn5ZvxBcZUkfdiCASr0LE+36a2tySjBkPOYa8IF2j4YGjDDhQpwQEZ0Qjk7Qs70buM/Dx1HmtCDu2Ul2/TrWaoSAvhTk9w3ABJx3PQ8JTJplE4u3bNkcaG6prFwT00Sl/q+N+cqPh3M14g03GQ6a9xNkrtm2bSsjRw7jzTc1M9jgQREyd12Kn/mvtu2OjOkxxDuqN3XVrRzWAIaPPfYYTZo0iXzft28fjz/+uCtD+6233lqXqn8SpW3b9gw+cxAj3l7EDsQ99mXcuXUMhDMR0swDumlJF1bbtxPxKf4F4v7+lqnFDbH/ViA7aX1h1ONrgJM7yOsxo7gU4xEBdR4CfII8a3KQRXQjAqxOtM0oaxG1/+WmkyXa2457gCxgBeLm3AgBPUor87e/+bdR3RvETfq889zcnFAIHn1UeCXgmGDuuUfMSwrovPCCuKPrpNsgU5YCPXok5ZISCRTX0ZSxHjDAPwRB27YiLFNT3d5y8+bJ77/5jf89d+50n3+8/ft8/F2WDcSsU4zMhcnAQzXB3noNgLYh0SrqkZETEpy8VjcgGhWQ80/E5viY0QEKs2ygcw6ikUo3IcNw5lSZBWmGaPhGIAEW9XcBgp/1XHvel9h1TzDhzjDsTsSVZys3F+ZXi5v6ANxzPujZngCMsjVQw4EXgA4mfGgI4d0bNNMwJG5VMu6NxQgE+PwNiaR8gad/TRMSeH7uC3Tp0pUrcy5mie6h5fGyatu2Paf3zSB36RIstPg+OOA2SBu0fv06lwCfOn02I68bRo7GwwEhhLvey5oact5exLp1aw8JADjU3lrK/Be1rtWy3REtWsA88I5bffnhlwM2dfXu3Zv169fz2WefRT49evRg48aNke+r9C1wffEtU6fPJvnnvwCEB/IYDjApRXaMBsLTeMqE5qFo09K554rGwLKcWCrf2CYDvSh1ttrx6+93FfCkNgseAlLCkDfSYx6yTWe/t8/7CoeD42cKeBrHjHY/jofXuTgkWG87ZiDX3o6Yv/5hfwcR2uUmtKwWcKFAUBT3yD7/iitEw+Llhcyd69xTCc/9+wX0XHaZLH4TJzoRiyNjGGC+UYH0ysuFL6RMMMtMJ1jc4sVOCIKKCjHzgHiMbdoE//d/YiZTC+24cbFj9rSz12B1vuLW3Ay0M8RcUYwAzgbIXPorRDghzdT4Byz0BrDeNqnq49e4sWjf7ka0lOfb192AEOWnI9qMp2zh3wuZ01fZACcD+D/gCiOas1OWBPPtZzdd61M+osXxPutReXJ8KfL+KCXo30PwTY2/aewbU0AHuDl0Qc/2WhzPxiftsZuCPF+V3FbVP3GiHN+PgJ7L7HGea4gWy7KfTyfDbcYOAaE9e5j4aCG//nVPF+hJN+CD0rcjZirFX7nrngdolJZGDgI4cxBt0v9Uf9zdCUxCmpKSytx5L1JWtpxnn32BRx6ZBMQGToey6JyjupatW6u43h6furZbjxKtl/oo0T/ecsAan6effvpwtOMnVyzLwrSjpl5pH1ORVV+3v5vIQtsbJ8eQLqz80jXk5grJdZa9sz0fUetbOGaQxTg7oxwDViRF7469EY2zDHFTT0UWlFGISWG3Z3efYAjB9lwcM5qdFJw/IZ5AE+3v8xBvoHaI8HzfEA+cSZ62VFcLgMo2YbUppNx1JiR77t3YkJQAoVDsiMsZGfDnPwu35MQTZQxjpZPwi70SFHxQEapvvFFi+Qwf7r526VLxNguFRPOk5xhLT5e/diy8uOk09DQTKhp1bi6cb3uGYQlhGETovmU/QzuRfaAWxSI62KA+fo8hptlZOFqNUYjW8lrc2ruXEaAUttsQCoFlBgcVBEnv8AICwCYiGcr3bnc/6zMNaGBGa4bKfN4TcJ5nqV3/Uvu437NVoEq9Q8oMuwaHIxcY5wjnPcsxBNB53630anjFdOr9BfDOe4ujtLn5uXBytcmbby/i978dwnsaKMr89QC276jmo/IVmIAS7WHEHd+lDfJERfaWNm3a0aZNOyorhaSmrw9qzODYBAC5I4az/pOPgbq3uz5K9E+v1DlJaW1Lz549efnll39w/J/DyfFZt24dA/r3ovH+/VG5bH4JrEZSQ4DsoD9BQBE4wjxe4ssKxGNkK2I2Krd/N3Diu7QidsLDa4BnEbLrQwhKnmW3x8DNY+hiH4/FPVCu66od+vX6vf3akpwI/XeJ59HHSPA8/frmdp2TkQSXBTi8kIoK4ak0ayYCqmlTif+TFIL9jQVoxHJHt4h2t8/KEpNYqk1JUJyTm28WILJwoaTxmD49Op5Sw4YSYLJRo2iOzb4dMKVGgj/O9twzIQH++lfJEfbtt0JqD0pumZgI+/Z5clnlOgkzU8NgJUZzcXbsgD/XyHOOxaHypsNQz1nNO51fFEYI9q0NWNtY4jPF44Y1MuAGE54BNnt4No0M6GvCb4E7gQZNm1G9ayd6iRWC4WZgJvIeFALXGLDDw+N53HTSqYAAnlztecSqvwAx83aMcZ4aJxc3J0adiYbBNNN08VfCycnUbNvGRO34KOQ93aS1ffCZgyi45TaqqrbENSsFxd85lByfQ1V0vtNchK+lc6dGGwY9M8+sVbsPB+/oYEo9x6du5bC5sx9oOcy46gdXtm6t4ozTT2OPDXp0l9QJiFBvhCzIIItZW/v/9HTZ9RcXixkHYuT9sb+nIlGhVTER/kkOAnpi1XGB1o4C4C84oKc/AtRAzAGKg/srxJyhHJyU4qQ5IvymIZ5eDUKOGUsvQW25ZoR4i61BSNhKTv3K/rsdAT2X4bgFL1ggPJ+OHUVTolzgx44VAZZbIyECgsxmhuGYEPvY/wy3bTDDhjmgBxxtybRpEg1YZbU/5RSbMK316cYb5b5+5phdNXAVsM4Wsv3tax4EUvbDnXdKdO6CAgEpkyf7j9eIEcLP6dMn2uPuamBvjaPVUx5zO3eIK7gSxEGqf5B50QE4zxBwrZ6zmnfq1HNwewveOS523cp02CQJigz42oCmHrNYsyR41xDPwe+B6l076YrEFgL3e6I/z072QyhCyMRfIZrGRjaPZwryLpqmmM/UHAZ4XjPP+XkKqvliGDLHZ9rXxXs/dZNbLK3jXabpWituqalhU1UVEz3HJyKgZyEC8AC+/34XQ4acWStvp6nTZ9NzwECXGa3nACcS9LFUdA+3YiSxs97uk7p0q3W7Fe9Imf3KypYzd+6LRwX01JfDXw478Kkv7jL0wt+zV4vvoRe1zl2PLFrHI6rw9xFT07q1sijn5DipKYIEiL6nK3WfwrnIwmxzfAPrOB6Ja6JD13Rkp/w+AkDSETLy+8iiPxAnXtBAwwFE1Qj3YQ6w1YBQIyEUK4Gm0rsFteW3v5W/MxDAZSCahK+0cwcgO+nFCD9i9GjHrV3n+fzf/8n5TRHB3KwJHH+8JybObompo66raC5akhdeCBashiGanCVLJBv8eeeJRxjYnC37bRs/3m5vgKArKBDzo2EIEM4GFhuwL9Hdl8REuW+s8VqrhTNR9c9C4u808OxJGtvfvwL6BPFqEqK5OZdrvJVmiBAajcwN9TiVC/1FFwkI9Y6fbjrU3dVNU0yfLj6N/dvVOC7bXyDE/LYhWLfOeY7qb2gH/McUTy4Qj0mQMAoTEVL4xYAyilyJDeywg3pqpr8XXhBzqV8MpqQk2GU43KB476f+bgadGwI8qeyws3YEriF/RTKhG8Bn7y+N696uipf3o+LvHIsAQHfJT0UoAhU4gO/xGbG1NX4xfw4F76i+HPvlgDk+9aXupaKignI7tgcE26S7IzyKzQhpMQfAhPD3IuyKiiSo3qpV0bms8vLEFLDUdPIoXY/sCDciD7wAx3Tjx3FQMYAKTDG5FeM2x7VGTGelCIF1O3C34Z/X6J1qaXvIgJ2mnUfKFG3ErFmOav/mm+GZZ4JzUW3YIOcVAQmIMEhEdum/QgDXYiDNHsMxJlzquce554qZSGnLbgPOAMxdTuBCVfTrLrtM4sOMGQOh7cLLMYzoJJ+mKW1/91148kl/z58ePaQdBQXBHBs94ej3CCfnzhi8mKIid7oOfbzatXNMfZ/aLnvPAIWGZEKfpT2vvFxIq4bhppiWwtXRfXz8cf82LEaErBK8BkJYb4PwT3RvweJi/yS7xcXOd13bEQQQ++IQiKttFWClBU12urlToRBsqxGwMBrxsspBAjCCAx5yEKDpne8Xe9rhlyvv6qvlt6ZNpV8FwMMGjBoVnbsr3ZBgjsWIK3snYHXAuQos/5/H9KbShQStIWsQsGQCk2ytENTe20nxfo7lorxj8xeXYNmmuaXA7Dicpq1bq8jNHX7MmLXqy5Ev9cDnCJZKTbp2QuzxOglxJKLFuFy7RtntS3EShvbuLUBh+nTxJPIKp+4a6VMJ5B3297ABp1gSaXbiFBGwV1zhriPdgOttDoXO2dFJq6rYeTljkmGLisRl/HYbBKniFWhPPSXaFK9APP98TQiYoDysdXf4bHucVBCF4TY5pzZk8O+roZMlwPAchFir+CdVVU5CVpA+de4sJqfUVPEIU1nIfwl8rYGFIHL1tGmxQZ6ecHQ/wmPxGy9dQ6SSW+rj1aiRkJ51EBAOw7c10ZnQ9fYlIlqhk0zICsE+WxNkmgLa/NqQjMyxcYj31kIEpD6HzO+HcED25MkyBvPmSe6y3buDTYcQDBAz8ScQ5+dCs2rYbDrP7BREQ6S0nOOc6liMOBDEC/XgbYcClzpI00nOpgmtW3cjJ6c88nuKIWOv6EwtEZJ/NxNOPtl9rgqRMHYs5FdD0xpnrXgwHKZFcjKjtm3DMk2XW3s2cInW7iCt0I/BTdvPJV9P0upX9GCFTpJUCVaoJ0mtLz/ecthNXaGQ17n6p1vathW2Thhx/92O2ya9CyfKcol9zUrEvHOy/X3AAEc7ce65jov0ggUiEExTAFQhImiae/gRTZIk75GKzNy1q2gmlKmpN7Iw/1bdz9OHTM/3n+OYwoIEc+fOIuy+Nd2/e1X7H30k7f/HP6BXLzn21lvCV+lWLYTTJBx3fY0bSzHQA+F9GAaEm7nvocbIG+1ZmVSuRoLcvaC1/bzzJKqz1y3+P/+BW2+Fr78W0HPvvSLQXsSTbyyI37FWQJ5f+gal9dDNHKq/QaaQ0UD3kHu8qquhyf7o6M+JiTArFLt91yNC/zYDmjaX60pKYrdBpRsZiGgjZiMCuADhrBUj86q11ueCAok83tHwD4uQaUB/H5NbXh50NWTeLTCduaxzmTabMhdU+Rz53thuizL7NEQ0KcokGzTf2wW0Iz3dnZ5Djcd0oEWLNJYvL4/8lpKSxDZtfmQi68BH9vdbbxWIW1Ag83XRIrj2WnGd31NDFO9mwRslnNylm+t4P7tf+ns6CTdf6VB6adU1RcShKgdqmqusXMObby5i4sQa95yZUMObby46av2oL0e2HHaNTz252SkdOnQgJTEJa0c1tyFCoQgh/n6DxK/RtRiDkXgmWgw55s93+BtqB9q+vXyU0CxDBLhpwuSAXb3Xye6ii2TBtZBFW6UfmITbe0ctmv0QNX0ujudT0M68XTvJtaVKVwMqGvqb6dLTRaM1ejRcf714XDWwxDRwIfC4vWMGWdwzDRhpCui5CgnaaJqiUZg7V7gjluUAkiBhf3PIBoma5mDkSAkOqWtuVOyk8nKHZ2UYMN4Us+RxwBbcz8dvPJYulTY9CTwcgi+aSfqGHTsEzI62TSLrTQkHsM+QtB9R42XAHSassUSAhhDzz69MEfax3MaD2vcbhCtR6tEKZWdHPzPVTv2ZgIzFjcgcLkRMkI2BFabM+QLEpPuRKcDtNR+z2hcmfAkYnt/SDNhgxicQT0XMoiBa1FmIeTMNiXkz15D0Ffvs3wwj2qSk5nuCGR2YsWUY1q+T+eE1TzU+Lo2amu88ps6dGAY0NUWLdxHCS8lHdqAVFasBGWP9/VT9eeSRSfz85z93eWZNnT6LjIzTorzs5uFoewvtZ5BlwFAT/hrHFFSb4pch3hts8UiW2prm6oMV1hc4AhqfmTNn0rJly/gn/gRKRUUF23ZUMwWJXwOiXr8WAT3g3nGGkIW7rfaUbr5ZQMoZZ/jkoLIX3VlI9FsIfsFfe819PJJ8EQE7ilugvHcGGQKI8hD1/EREgNyGgJ7OPjti3XSj6u8EbDShzR4BFV6vovJy53ufXTDNEi3YIuAPBmzwaLDKk+ASQ9p4NQIiVb+Li0WLUhsyuGVFe1lde230GOrmMvU3KQnG2m3YakiwyYQE/xxhWVkCepSAfB74iyWZz73JOd8yxVNtDyLAfuXREFVXS7DAHOzUC8CvEUH+uc/zr6hwAGBbn+el5s9GtGCX2vXFxdGJVftVwyQz2kPvewP+bM+jAhzC+3kGDLHPUZqOXTgJUhfYc840BUAWAy+Z7qCcVaaAqHgE4h322E1Ewi0YOG3pZ8C7SdHPMd+Qe27ETdL+FIk/lIiQZ0uBcTWwe4eHRE0SEyZMY9OmqiitwsSJJqYpbSnA0dL0QCzAxU//PWZ/Tj+9fxTxtm3b9nQ+5RSmIDGTVLtvMKKDRL7fFK4PwSm9+hy0l1buiOEsX1xSa9L0sVLqgxXWFziIOD41NTX8v//3/ygrK2PLli2Yuo4feOqppw5JA49WORxxfJYt+zfZ2dlsQEirnXDC2yuCruIYVCBxQNJtYT/RJ6gfuE0rjQxZnE3kYxEcG6R5Ikx5XAuOlwffVQuJ9u6APE7V1dDThFTDnXfLMGCmCfcbUKkdT08Xk85HHzn5mgbZvy+yF+bbb5cM8Js2CQ+ouhpuMv1jxKj2+/WnCPEua4tkG9fPW7MGZsyARx6JziN1/fXS1//9Lzq2TGmpeGUVFAjh2LJix05SXKb21bDNgnUh9/PRYwH1MySi8a2Ix5MCKnMQjozqu4qH0wTR+uz31HenrT0oRsyUHRFBXa617dxz3TwlkPkY8mkfFiRaAmjHxBjvLsD/s9vZwxCitD5f8nKhekf0PMrPlcSzSkOUgoCaiTj8lXwEuD+FvAt9kPfBG/OqBbDGgJQkMW9lZoq27IYb3Kk2Whhi+mqOpFz5O7FzdOklGwkl0A343e/+QMXnq1i12olMP/jMQVx2xVV8/vlnnHZaHwYOzGLRooVccsmFgbGKlHZmLWL2/hcOiFPv+4TJbi1Sly4ZvPjiG662+WldDBwaneqfl6cGB0fmjZcvTOW2OlSxaCor1wTmLqtLufTSC1i+vIQJE9zBCnv2HHjMcHzq4/jUrRzWXF0A9913Hy+++CKZmZm0b9++nstTi2LY22JFpjRxwtuDQ9D9L074+Xgk1C7IIg5CRj0FJ45Nus2d8JpHDAN67fLPp/RsyCFR+93zWwPWeUxCubnwlB0teqDdh5UhKC0X8jQ4iShvtdvsJUODxL/JyRFTi0abqFWsk86IdiQHARWjcsUTq2VLCfY3c6b0Yfdup98R4rfN/D7/fCd3VlWVCFAQ/lNhoSSJ1dugvKVU4D3FZVKJPC0NVHQKwWmmmCB3IwHzvkfGowDHXBj29F2ZWk42hJDuBaP37ABqBBB8ggg+tQOfbY/DSa39Sd2hHVCTCCOul7xgGzfK+Q2qxSsubEQTsPPyoIEBebbWpZDYc/T22/2Pd0L4Lf8A7sNNmO+GxAYagACeZcQgHZsCpPRnmpTkDtyYmwuhaphiSqC7T+LMpeHAHxGXcxVkEODll/+f3APo3PlUHnlsCunpPQE477zzI/XoWgU/U+IMw6CNafI87mS8BjDZhPt9zH5//vN1eIuudVGAcBRCsv9E658k2nQ/fz8yb20BRrwM8e+99+9IDq7jj+8RWE+8crjMaVOnzmbkyGHk5Gj1Dh7I1KkHpwWrLz+cUmfg8/rrr/PYY4+Rqbs01JeYxTRNDIQXc419TF88JiHcmTGe64IW6FMQc0IZsmiuwU1ifMqEW3wWUdOUZInTkF1nO8T9/S3gcyv6nlVV4p4Nwq0IEnLL7HY8hZhv3tE0HCoR5f2mk9yypka0MYocGjHDecZFc/AJ5s0ggAqgzITwDnE/VyUclnZOmADPPgvvvOPvfp+VJdnSzz/fIQar30fYDV+wQM7Rd9CGIZorxWVq0kS0THrdq6tlPMIGfGJK8DzsMRuO8H1GINqa3yIAZrQ9FotjjHsoBIstibtkItqTy5AUH7/fDovLoz3MlHt+8TT3eKo62yMJN1t75o9KUjoCdwmaoy1a+B//AgmF0AqHm9UYCZXwEOJdNx8BtOAvZA2EnPylaZvHgLFmMGgHx5RWQPBceioEvS2ZT8WIeTcdCQSqwEXFZ59y1+238tKrbi2MAg/9+2eQn/9+VAqEzMxf09BoQO7bi0jC7Tqfa99rhSnv8VrExFZgQteu3aLu45uYE7cXWu/eMk+jPQxryMkRMm9qatoBAQw9fo6u8XndfiY33pgfOZY9ZAgTJs8gOfnAgYofsMu3zWkHGkVaL4c6SWp9+eGVOnN8GjZsyIl6jPkjVPbu3cvvfvc7Onbs6EqG+tVXX9GxY8eoT7nuy3uUS9u2bTGRYH5Kta17XIxC3JeV3byNrUQLskdnIRqDBhBZRDfgRFteiT93wkBMBUuRxX0pImB1nZ1+z5wc8fxSLtNBQu52ZOHdiRPXxxvs7hnD4YNceSV06CDeU1u3Ov163G7rU/Y45SFcp062BsPFI7JjDrXHAUi/MsTE4uJvJMp9588XHpE34avy8FIco/Ly6N8ff1zq8AuMmJQkLu6qD3ff7e89VlQEiUm2ScN+ZkmIgOtkCC+lCBHsVxoSZdumJwXnh7IEiLypzrP/pgK3+ABZEE1YrDrX2M/xFwigVfOnxhSNjLcEzdFNm/yPfw98gMPNCiExo9YhoAeES3ORqt9zv+dwQF4GAmTsNGmBfVKisjfQ24j2JBs9WsyzTZvDSMPh4LRGgFkrnOjIe4H3li7hgvOHsG3bVrZureLSiy4gI+M0LrnkQt59dwnhcLKL/9Oz50BmznyKe+5/KJKH7zKt3skI6C1CQOAW4IFwmMFnDooSzPG0Lip0wMyZscdk/fp1B8zXicTPCYddfKgbEHOiXk/Zm29y/bUHzvtRwG5iTY07un1NDW++fWi8r+qDFf50S52Bz7Bhw3jqqaeOuNfWQw89xM9+9rPA3//+97/z73//O/I59dRTA889WsVCXHzBIQ9nIMJFmb6+B9ZZsaMEPwRsQ8CSvojejOxQc5HFRy2i9yKmFBNnUdf/qiep37O0VHaMkyY5QdqChNxuRIDtxx9YTJgM75gS5M0FiMpE06L69b0hWq8rEYFWbQh3Z5UpPCRdmLSshgdNZ2ceAr7yufckG3i89ZY/aRnc8ViCfjdN4Y94s3NPnizjNGKE9GHo0OhrwTGHlZsyXkrglRnwlQcoJidBjQGFcQAwCEiJkH21c1S6E++133wTu85XX3XA6p2GRPtWIOSvuM2PQSk/wmHhPHmPJxhu4dgYOMF+p5vg/JaOLFDpCFDXhezd9r07Is99IRL2IVafXseJLr7MhG2eudSli4QpuO02ec5n29e/goBIVVTfC5CoyCOvG+YLHmqqvuP0vhlRKRDigRad+BxERNa1LhU4aWLUlLjiimFUVwvQjjUm4XC4TgDDL7XFHpy0MQcLVOKN0aHKFH+03fHry9EpB2TqyvPExy8rK2Px4sW0b9+eBg3cVU32JhE6BKW0tJR3332XSZMmsdj7JtslJSWFFl79+jFSysvLI3FZmiGxTpQKV7nQqhddedU89RTccou/uepqBKzMInqBeAoRGDp34kREM/Ix4iZciBBrvwUesOvYFYLVa6Bte/c9BwwQIa/SDbiyhucJR2iYKWBru90uL3BQRM+LL/Y3RfQLicZjY/NoE1RlNRSbMMAUE8gdiDfQKk0D0Q8xeRX73FsHNeedJ5ydIFNHK0TABv2uxsOvfkUYro1r/1rkebTCnZrBOy4AnTr5BzxMTxftlIUAn3kISLAQIfE+AjS81953nwATvwzwCQmi3Xr9dacNa3Aymk/FHeH4/0wJsKfPl64GNDPhfb/oz6aPeebbbwH4G+ItuArRfhQj3LfLcc/lHohX2ED9Gdj39eMlGQbsD0FiM5g61W2+POkkSVlSWuoABMOAc00BVF6TjpoG1wDdTDMSPC/K7FRTQ87SJTyimVIqK9fw9df/hRj19uyezvKPygHRKo28bliU2alt2/Zk/noAw/+92BXuIgHJ3H7ddbn8/e+zZU4Y0Vy/0aMNTj+9L//61z8Bd0wsNZYQ7N6t4ucoc9HXX3/NjTeOOmTBEoPMaWqMDtb76lhzx68vR7YcEPBJSnKzpc9SmRiPQNm8eTO33347U6ZMobEKa+tTrr/+evbs2cPJJ5/M1VdfzaBBg45YG+OVqZMm0RBRk+uk5ssQQvMYnBdd7dRXrhQBtGaNBL5TUYJDIXjCcgCPd4H4CNHsPIzwKaYhO9ENyC76O2RnqUpLQ3gkyla1cqW77UqQ+6UbyDYElKTiH+nW61XyxBPCMSkuFiKxAg3DLAGAQVyWFkjKi1cN2GU6929kQC9TMprPRARQLNDy1VfBAC7BgK2muHt74+aMHu0IzKD6d+yQ87116679Kt6SEgOv2X9jgbV58yTxqSvCdrrkpco2ABPuRz7zcYOEziZ87gEgCQnC8Rk/3vMss4XfNGKEzDnVhhkIwM5EhI8u5K9FYtOoaooQonwZwjNrZfdxGpK2xBP82aU9GosruDcDcPIwrUGe/5UIaGyGvCfl9rmlQNgEy9NXFQF5zBiJweSdW1deCSkp0eTvl6qFJ6UDyVKc6MjtEW2V3la/fq1fv054NJ40CcPDsKNG6ipFsqC3SE7mi08+rh2vJRSiCc7GZzGi/SIUipij7l9cwv01Ncz3jMnxxyWz5L0lvPfekkhbs5HnmkrtAYaKn1NZKQb7QwVU/NJRqDE6kBhEQYTtw8Ufqi8/kGL9AIppmtbw4cOtKVOmWJZlWRs3brQ6dOhgffbZZ5FztmzZYs2ePdsqLy+3PvroI6uwsNDq2LGj9eabb9bpnps3b7c2bTp0n7KyDy3AOlvWUGuDrLmRz0qwwmAlg/W0/Xu6gZWcjPX001gbNsjf5GSsFmGpowCsNPujX/e0/b0lWKvBWgDWGPu+6lME1j32/50NrLRkrOJiuU9xMVZqMlZ3Q85L8GlHYiJWKIRV6unHBrvOrobU8fTTWFlZWKmp7vrT0rCys7EsS84BrHw1NhvkuPps2OC027DboteVkox1liH3X22fk+ozbunpcs+0NKxp06Rd+pgYRuzv2dlYVVVYvXtHj0damlNfXl503enpWCtXam0xnGeVZJ9TXOzutxoX9VtVFVZmprvehgbWNHv+pHuecQisSfbzB3lW92j1LVhgHy+V/ysq3OO9YIG7DQlg5QXM3w3afUvUPTznPK3NvaDjqWBlgVUYpw7s/qbZ52yw/ybb/QasggKnT/p46sdKSmKP/TKwsj3j2gWsx8B6A6ybteNBbS0rW24NHjzISksLu+dtinuO9e+XEbce73oS69w1a760Bp85yD0Pu3W3+vTqbSXYY62PnRr7p8FKC4etwWcOssrKPrSeffYF172DPoPPHGSlhcOudSgtHLYGZw2q05rp1/7BZw6y1qz5Mu61FRVfWIMHe64dLNfWZuwO5dpfl8/mzdsPixz6sX/UuMUrdQY+OTk51nfffRd1vLq62srJyalVHYWFhVaHDh1iftauXWvNmTPHuvjii639+/dbluUPfPxKQUGBdckllxx45w5DWbBggYX2cnlfunSwmhMtvMIe4ZtpCzrAqtDqMzzXHQfWQPWbj0Bfad+3t2pPwMJfAdZdPnW0MuILJv2aoPrHjcNKSIgGCVVV0eeOHRu/rVvscfS2NxzGat7cH/CEQvY5njFMB6uZ/X9RkXO/99/3B0XTprmPeesPeqZd7fam+IA1w5BPmvZbYSFWYlOpt5fnXv0QcJIIVgP7eehARIGgDRuwVq+OPZ6FhU4bRo4cabVv2zaukAcB5LHAUSJukJ6GgAu9ngp7/JM95+rAJl47ggD0ggXOsZtvjn3uHBxw2sgz1vo7d3xKipViGFFCP3vIEGv16tUxx3nmzJlWRUVFZI0IGrcFCxZErSe1OVfVXVFREWlLvLE7KyvLOisryz3HhwyxqqqqAte4qqoqK3vIkAO6pjZFb39tS3b2kCigmZYWtrKzhxzQ2NWXH2epszv7+++/z759+6KO79mzhw8//LBWdQwbNowLLrgg5jmtWrWirKyM8vJyunbt6vrtj3/8I7/97W8ZP36877Xdu3fnvffeq1VbvGXLlkMbOCotTdxoQogqORd5yzIRD5VyhHNzKmJ/3I94+ow1xVPiWmwXZ9NRtR+HuECDYx5oANQg5oVyJIeU5eO2fUW1uM22Rrx2gswslxlCBFU3MEKySrxriieR1wyQh7gYP4CExx+HrYoPqH/cOP+4K8qtXE9lkZkpppmgupYAj9pjrJtYHgd21ogZaoTmh90gBHdYMMCCKxDznzdIXntgpSEk3ZYt5V6rV0PDhvIZMUJSiGzY4HiYXWAK/6MUyWW21pLn8jVipkkwJYlkB8TseD9gmdDda44ynACFJ3p+Szeg3JK4NBuRuDPbEPNSGUJir0FLVovMub/Z35Wpzs/kpzgxBQWO+/rUqVMj927WuDG5u3e7nruak6CRjPE3e3TBbYpTJhZwzENrEQLz7zznGoh5S1FRg8xLeh8j97cb8OmnwrMqLZXUJrHOvdL+3sK+t87LG4VwjYYBudu2sadBA3K0iJCDBwxkwuQZfPDBMmlrwLxNTEwlNfUE0tIkKmnQuKWlncDmzdX2/y1rfW5q6gn07n0CAG++uTBybtDYPfLIJBa8+lK0KejNNxn6xz/x7PwX8S8NmFP8PJWVa21OTxv69OnBli3VkbbUpejtr009lZVrWLDgjQAX/jf4859lEajN2B2tEgrBccclHXI59GMvatzilQMGPp9//nnk/7Vr17JJ81c1TZN33nmn1ikq0tLSSEtLi3vebbfdxg0qmhzw7bffMnz4cB599FG6q6hyPmXVqlV1JjqrbcChLEr4nIAs3K4F3ZB4HapkG+KtVIDj4qy8dpSguBxYgTsWyChEgJfb9/mfGcyZaY641oP/wm8YUJkUHaywutqOK0M06dSmm3Az4gJ8FwJ8ggRLrKzuKlqCYQjJOyEhuK3gCCmdfzIAIT/nIOCiKeIxZwG3WxLs8Q773EIcYm0aTnBBTMngrgOPHiHYu0+8ZpTnTLrNdVJvxGsIAFKcFiXc99ljokoCktNqoSnPUAmgWTYJeCkSm0gno99rCrgBCWuwFeHHPISA4c122xWINpFnrZK4KgLwgw/CFVe4+9bZkACFu4B77L9P4syxkbt3s4Ng8NIGZ657QbGBEK5VKQJu0r4r4TNe+x/EBf03CAhci8Sw+pxg4aX3UedwhcPubPaGAd27dyU//zP0mDt5eTIOl5gSpmETwUEUp2EHz9y/nx7d0xlzy20uTkm8gIatW7fBsqBNm/i8FrUmHci5elFtIcbYpaSk+McIqqkh5+1FVFaujcmxUbwfFdP2cKylscr69euBYKBZU1NTp7E7GuVIj91PpRww8Pn9739PKBQiFApxpUqApJXGjRtz2223HZLGqfKLX/zC9b1p06YAnHjiiZxwguwEXnzxRRo2bEinTp0A+Ne//sU//vEP7r333kPalrqW9evXYyIeT9/Zx4qQAG23GPBlUnRo/yuqAVNiqXyFJHX8AtEWrETc372LUzWQa6MPFf05cAHAHeFXFxK51wsomRgASkYi2pFpiCfRrQjRcxpujclfgRY+3kN5eXZ0Yyu4fcdju+ubQraOp6E4yYT1xNYC7EVcpncj2qgkRCBPtYGnnlYCnO977WORZJAWVFjiTl2ACPOPTRmL5+1rC+1PFjDUHouuwGpP+5TedCtCPldF9UMBTJ2Mno6A2/EIGChFiN1ZyEt9NwKM9uOAUdWtkAkpHiDXOwTLLBuIaP1viQj3PghgTEOAyjhPH/6LzNF/Is/sbgRU6uAohGgp9yFzZzYStbkl7nQVLZD57QX09yNBDz9ACNxn4Q+uGiBz5pd+WjITnkE2DDOQCNp/+tPllJQsdEXyNQw4znRy6EHwvFqr/b/io/IoIm3btu0ZPHgQ+fkleAMaDh7sJupOnT6bK3MuJmfpksixwQMG+rq0T50+m5HXDYt4lcU619WWMwfxztuLGOUzdgnApMcejtnfYz2RZ22AZl3Grr78eMoBA59FixZhWRaDBw/m+eefd2lsGjZsyHHHHUc4HI5Rw+ErU6dO5b///S/hcJg2bdrw6KOPcs4558S/8AiU1q3lZdTB+9nIYrMyhlYGRKCAgI2XcQsT7+L0vOFEJG7eXDx0ghaAu3Ei/F7uERJqtxYESgxPO0BAj3dHfKUBSc3Em0avv7kB+RZMILh9WxBhqadO8NNQGAbcZUpOJQjeyYKj/WiCxL6ZAsy0x6x1azFZTZzo1nBRDd+ZAipmIRqkxsizaICY0ooQoJELvhF5S+z7VyH5qZog5svfIKaqUUB/BEAkyS0j/VBeTUUI+LkXOAMRRLNwtEcGomV7y/6/KWLu+wYJuqe35ysN3JQCOy3R2gxF4sJUIl5nSthdhphEVUmw6zxXqzMdB1z9GQENyxAgvsyU+bAZASDZpr+begg5L0i7cgtwIQKMVgEXEK1xTGzWjB07d/IfHy2ZodWbZY9V06ZNmTv3RUpKFvHhh8v4xS9+yV9G5/KJ3Q6VRy9oXrXDPcf8gEFt0iRs3VpFbu5wlmigp3//jEAXa69LeW0jEE+dPpvLL7mQDz5c5hq7sxCT6YiV5RCjv8d6Is/aAs26jF19+XGUOicp/bGXw5GktMsprdm6ZQt77WPpyG5xB9EJMlVCQ70kIEChE5LMcjZuAaESmyrb9nnnwaJFEjBw4kS3hqS6Gr4wZRevhNzXiKAbjiNMYyVy7IHsnFXJQnJRqSW6FDvxql3HsmUCJJZpEjQlDGYzAWp6+3ZUS5TgXyBgwKuJ6ReCXpYknGxij+W/cAT+CJy0D3kI1+ZWxGRxD6J5WIcAkoFIXJ+Cgtj9nY6AnQU+7dG/e803xYhwzkfAgjp2mc85DRGNiIEApAnIM3kdybi9x+eevwT+Q/RxVdINcS9Xz0XdS793b6ITnGJ//wi5VgdPo5Cgm6/HqPMyJBt7WZI7yW5+rmR1f91uozLvKV4SyHPTY8tsROJQ5QGfAR8i5qVMRMs2Dgmg1wwIGQatOnVm3/79rFrtmOaV5qsXAlY/t9v8xhtvU/jgvVHJPh/Hia/VzW6TuqfSTvVAUm7kAyfZY6eSdPqVWIJWJc+cOLFGy6l1eJJnqkSq4xEt3onI2Dez+5ferTsbPv2ECR5TUM8BA2vt7n00E21u27aVkSOHucIHHExi1iNd6pOU1q3UNknpQQOftWvX8t///jeK6Hwsxc+pSznUE27Fig84d0gWJrKohhEBp7gKxcWSV6eyUoLcLV3qZB0firOrtq1fgER/boKzGN+FgKENG+D77yWT+PTp8PLL0XmlTNNfyJUjgQDLgCYGNEpyZzMfnQfp1VBiCkdoMsHCsABpvwJ1550nUZp1jUp+Lny3Q/J2qdLJEFC2B9F+jAfm28Lbrw+r7HF4EEmJ8Y52XigEiSGo1o61NZws8gWIVuDGGyV7exAANey2TAamGPB5Eky2hfmCBRKnR88Irsc2UkJ7Bo4gDRLsjYGTkTmhPx+VfNNLUq+2SVqmrZHaZEh2b6/ZVAca6l4h+6OA4mxE+OkEbzXnnsIfqFUgBHBVJ4gWrBlCpI6V4V1dq4OmVMTkFwQMlUZIgRhVDMRs/AkCgsZ5fu+MOBGsREDKiYjZuPsZmTRs0IDli0uYWFPj6vdpgBKby5D3wntP9b0T8LVh0CvzzFoBA298mUjG84CxigWm6lLefvtNLrroD4xDOGTa8oABPP+PV3l88mMHFeDvWBDeP1SNzrEwdj/EctiBz8aNG8nNzaWiooJQKISqRmVp1/No/RDLoZ5wQwYPYN3KcqYggvYjnF198xB83cgtOBMSoP1e+Fhrg1r8xyNmoEmI6UZpCNQiXFwMaWnCh1GCXAVAbNZMQIwS5F4hZyKCZaf916s9yDTgTFNAVpBwKkUW0zsQLo0CdR07xtaogMP7UaWzAb+04MPmbq3BqFzoVg0zTFvLBcz10S4MHw6NG/sDBtOEhgbs07Uj6U6Gdr19TRB+kMJnej/OO09yd02a5AYbbavhGVPGIsd+7v9AQGXQ2GE/ywwE0A1HNF7PEDx2yYnQehesN4U/FnTeTAQgq/YkISBlq6cdQc9Ut3oqoLMAMXep84oQ0LETZz4Ggck5dl8VL2cLEhX6JgTU69qV0fb9ynGXixFT1m+QTcSJOFw4r4dePwSUq7ae3jeDO+++nyFDzgzstwJnIFqf9TjaxPcRfpUiy9cGGARFDB446Cxuu+2WwLF69tkXGDTobJ8aD6woc5quCUkwYKLpmC3zgF5nDjpoU5ASQkuXLmf9+vhZ3+uLU+qBT91KbYGPUdcb3HffffzqV7/ivffeo3Hjxrz++usUFxfTpUsXnn766bpW+6MslZVrWGGDnstwBIKJmA9+GRLhrOdpatwYUkPuehTf4hbEe+d7HNDTHFmsswwBBW+/LefOny9/27eHc8+V+tW99fxe5yKu7dWI6S2yqzbdyUtLTeGYQDD58UxDdvq7kYl4/Yj4yRILCsSFXUXQVePwdRIsCjkka5Uba+Jkacv/2fX8Clhgus/r3VvApF8yUtOUtjVNct9v/Xpph54E1TDgPBzQo/ejosLJZebNS7bMtJNwGpCIaJeUq3ku7txT+YjGphgBJNsRMFCIgJ5YY3fNCCHtXhjvPJykoGchbuGmfc856lo819p/X/McV3yPZvb1oxHOzk3AdVq9EJwn6kqcJKBqHo9E5nU17lxy/RCtEwiwAXkuzyHv0NnA+fZq9hHRCUAnICBtjdanUTfcRFXVlpj9Ho/zjDYaBk3S0iJJZAuAHv0ymDHz75KLa96LcbUhfjm9Pnh7EbffdkvMsdJ5NQeTXyo3dzjLl5e45nzTJHjZcMZqEkTyax1MIs+tW6s475xz6NdPErf269eTSy+6gG3btsa/uL7Ul8NY6gx8VqxYQX5+PmlpaRiGQSgUolevXtx4443HjCfVsVL0hHsVSJ4jVX6FxMTxCue//U1MNv/Szn0dEZpqA6AAiYmTHHCmCY12CGcF4OaboUcP+PhjJ0lkW/up64t9Ds5CrP4mAcmI+UE/3sS+xrNGU4oIo8RmojkB0d5U74CHH7avCVjY+/YVTYsXQEy0QYq+CwZHmD+hjQ24hX5lZfQx/VrLip2hPScHTFsz9ALul0X1I949CgqgcRLsMhzTUg2iEdEFe1cEMPRBnuWniKmvGIcYHTR2v/2t/O0Q57xSnOe3E9GeKIDQT12L51r77+O4gZpyTc/EASYK6PxGuz7biM6CnpcHJxqigapAeGJTkHk83K7HRLRHC+xzXkcADYg2J92AFC9oTYKmPnMb3B5Yqk9paccx0fZgCur3LMT0mAM0TEnh3bIVlJUtjyQeffGVN/jd7/7gCwy8ACUo4/gk5J3uZ29a3BnjwwweLNnZvRngDxRIVFau4c03FzFxYk3UO7bAFFCoj9XBJgIded1wyt58s9ZZ3+tLfTlSpUFdLzRNk2bNmgGQmprKt99+S5s2bfjlL38ZiaNQX6ToCfe+tI8pHo1XYHvzWp2NaHGGmrKrbooAl3LTAUCGAd1sNdIoA/YlRsfeSU8XAR42xENJtecyRLD4ucYrT5rRCAFyt3b8SvxdiU0T2rR1hJHeBmtHcFLMBx90j4MqCkC89pr7NyXMP0HMIo/bx3UPsbZto4/p18a6340IsfoeU9yrH8Xhu3QznKSPCpAF3eOaa6BbN3mmiQjJej9iMlGlnyFxkRZr303TASUgACLPM3Yq/5fS4hn4Jx7Ny4OWYRhgq6zUcwUHIHSw/x+BkNwvwiHwnoGjgVGl26ldqFhTwe69exmL41EHAo4Me7zGm7Db4zFo2HPwGpz4P0rYzrI/BkJCn4wEPNTB1m1I6IFYnpBqbkeeh/33U+ABO15L4YP3svqD9yPZ3/W5rDRwwxDu2gnAqqoqystXMHBgVkwNSJA566JLpXFBoOwvJszxjJXu+aVri36FrB0zSt+udX6pyAYsYM6rpLmHwntLgbyoNcWOBaS0SfWlvhyNUmeNT/v27Vm9WiKSdO/enSeeeIIPP/yQKVOm0Mq7Pf+JFxU7IxfHTDQQx3MEnF26EBndO9kPk2CkIRyTtjZ5Vf89KQmuMGwAY0abhZRpB8RTqr1971GIQCmz2xC0IE9ABFQHxPsnBScgnq61UFyI8nLh1vTp427D9hrh1qjghDk5kJEBEybABx+4x0EVBSAefzxaa9DCnr37EGBmeHbM778voCrXu4vOE66S934VFUK8BgEANyEE3U0Ij2Sy3e97TeHv5OTAwIFOsDz3Tt1JSqoESyoiXL5BTIHYbV7teZ6fJ8lx/XkUm9Bwh3vs0tMlXMGoPNGAjENI4ip0gDqvdWv4piZ6Rw8CEKoQU95ixMxZgKPlyEA82VYgZjdVPvn0E3bvFf/E8Yh306v2tSMRvk21PY6KlJ6CaBCfMh0NQBni0q6E7YQJUwCZS7txz6/duE1oQQI8RLQpUYGmAuDEU7twac6fI9qXt5CNiH6vDETLdxliSlOMxaFDfx+oZVEanquuuCTKnLV8cQmzn5geGXO9qL73QAjo6vsjj0xi7lwxnykgcX9NDXOxPRGB70yTt95eRHn58qj2eIse38Z1f/uGEbNlOMzgMwcdFDDRtdx6OVTapPpSXw6m1Jnc/M477/D9999z9tln8+WXX3LdddfxxRdfkJKSwqOPPkpGRsahbusRLYeaVFZe/iFnn31m5HsYJ/JujQGJSWLeGjMmPgE46PcLkcU6Fpk0jHgW7cKJYxKpB7dr/EzE3HA5sDYEZdp4GAa0MyXG0C6ENzIEuMhwk6Gzs6V9O3Y47vmlpbBzp3ivtW/vtK97dyeOjq6t2FdtCz2t3q6GpO+oRnbq3RBTSJbh9v46IwTvhjxtMgRIXG7AkiS4/0F4/nkxtalyliEV/0vrs6q7wO6vCl7YFxga0O/UVOf5hA0BnqqkhmCrFfw8dbd4Farg7rsllYcCiupZKC6WhYzh7t1CZm/XTvhiJ54YTURORLRlJyICeiJuonsnJA2Iun8ZoulrinifqfMXIFpBjZtPgn19OTLvTkDmRxCJOBFokJjEdbmjGD/+/shvfRCw2A4hZV9pn7ud4HHLQdz79bkdAk5ufRLr138ZOWbYmtOu9vcncFKN6AJb91grAu73uHX7EYY7GRJbqgduz7XOHTvxvzWrmWCaLu2SX2gA3ZNLuZ9n2WPqfVZtuqXzxpteSBVdlMv8hAlOfJtRo2D7dmf+Hqj3ll+JeKnh/7wPtZfaj63Uk5vrVg47ublv3778+te/BuCkk07in//8J2VlZSxZsuQHD3oOR/nkE2H2GDg8j73ADYgwbF0toAeCd7KqBP3+gv09aEc3GdHc3GUfH4YItHvsNo1AghAOMkTIPmLPjmIE9KSnSwRlpWX6wnDMbU8goCfJo70oK4PLL3eblzZuFKJ1+/bu9n30EXz3nVtbUV0Nu0xZlPshWqpkoJUp2hgTWUiVNmOY6ZjuKoBrLbn2GWRHm4ikIdgBnG/CrmrR1nz4obvdy5JgcSP3sRW2JuZxxKMny+53GXKPUqBXSLysLrlEwF5xsaRKSAkLuNXr29sk9vO8A0drYXPD+fOfJQ6SIlWXljoCq4EdOHTxYofM3r599I4+H5mHDyFmpHJEkOq8k8l2v5Yh2qCOOClBdnnOfwUBQ4qPVIAAqmb2+Xp8niANwE5g247qCOhR57ZHwJqFeLeZiOdXEHfIMATEvYA8/5vtukIGbNu20VdTqoraK7yPkObVnFJTtzcCRCfU1ETIv+BPGP5vElxiiJb0bJz8ZZ+tXsU203Rpl3YB5+Nop/w0LoYhDX0L/2e1YmV5TLKz0kaNGXM7PXsOdL1jvXoN4p//LInwlmpD0o5XlJY7Pxx2ad4OhTapvtSXgy0HzPGpqqpizJgxLFmyBNM06dq1K4WFhZx00kmkpKQchib+OMrnn6+KBNfboR0/1f77iinq9CEE80XaIEH3gn4vKhKtkR/HI2yIl1FHxAxhANfj8IWw25UXhsRESG8dHcU4Px9uuQVef93hUzTU+hIr79a7i0VjUkI0V0XlRRprwiZTgNleRGvwuOl2SU4D/gKMC8ECG3U9hQi8kCm738lE54dSwxXGzVVpboqmIqjdurlOHdup1WHg5FDbCCy04PJd/ukgvJyU//5XwG7Q8zzJ01a0Z9++vXyKi53f9tXUBHJ8wmHItNFHOgJ2diEegosJBiQX48TVGYAQcQu18xXInIYkTNXjwSxBgGYuWnJU/Lk3zXDSncxDwNNiBPTkeOodgH+08e4GjDQlUOXliAYlH3k+pgmTJpm+z3gsMk9eReaHNzXIF8hzViBKN9dYlsWbby7ySYjpaO3uRTzV1BguBnINg9ZduvJQ0QQeeuAeRgSkTvDjC8UyH3kBRRDfaOHCErZs2XxYXcwfnzGb0XnXkvPGG869B9SnhagvR78cMPApLCzk888/Jz8/n4SEBJ577jluu+22ehf2OOWbb/6HCZyDo5kBCaUPjkA43vAXXIYBL5ligvH+rvgkN90koGXkyOgcRV+YwttYhQRxuxO42xBPGEWEnjdPvJBuuy06irG+mK9Z42glEpAEljWIRiBIe9F+Jwy1ZMe63SeHkh5ZWOWHuh//PGQLTCKqpqwsuOgiuHUMnFANFaYbLLQE/h8ilGchu+z/IVqj/yEmE2K0e+1aRzOla95UnjUlMs7FAV3TTCea8GnAWEs0bd57XHyxAMko0nKeaDReN500FRCceFOPtaRzfCLjmy68q/GIAL8PefHvQ0ACBAOSdXZfFQm+ved826mN+QiYcgl3bDI4dnJUghOX6ulObkae1bUI+PvGrtebOuJ1U7QyM+w2Pm/z15riaAGXan0KesYP2ddbSFgIb2wrC9E0qfmpk38VVyWo7s4IWMxBzHZKS2OZJjkrP6J58+Yx4+V4Cc16/1VR7fn666+jSMP69ZENxOISHoJaR2Cua0lJSeX1f/6TpUtX/CCDCNaXw1O8wTuPRjlg4PPee+/xwAMPcMYZZwAwcOBAsrOz2bt3L40aNTrkDfyxlCXvvYuBA3rSERByv/1/HiKINptg+HjBWKbsoFeZcIHnd8UnUf+bpvB9hiGCub3pDpA3C9nt13g0NKfa6qef/Uz+xgIDW7bI/3fhCEUI1l5cZEmSTgO43ZRrnkUA2Csa6AFnB9vCfXtXHjJdC9W4scTNURnnr0cIzw0RE9HDiGCdhQjFvTg78IgwCWh3u3bRxyy7348jpqJSRDjvxQ260oEXcbK1+93DNKOBoOIggXhXFWBzwkyHHK5KOOTkVVMlLU3MYZs2uTk+Y+3fQ4im5yOCAckonKCYNyNanm+0ewxHNISn2N/fItgrcAIy7tcgoFsfI3WPycjzag0UGPC53f9VOLm9UhEAOUpr61Ik4nQ2DihT82cGMMswCJkmFjE0pYi5txq3J53eBxCTVTrwhWEwOPNMO4u3IPDA+YPMEXC8pvQ2Ki2N+ujFzzPK23/9Wd144yjA4ehs2bKZN99eRCEer8wj7FnVtm103+rLT68EaR8Plk9Wl3LAHJ9vv/2WU045JfL95JNPplGjRnz77bcxrvppl+XLP2Dzpm9phiycIZw4LduQnfJ2hMNQDAw0RYAXIAvbU/b3fER9/7QpyQRBzFuvv+5EGo4EPEO0EN6FFmQHPtEWljq4Ue7f6lEGcYU+/dTRNPS2f+tAbN5FAaJtMZH4QO0RMwoEe7ls0o5VIFohb9ydCROE66KI08eHRLPxCPL3REPMJPPser7ASctwmT0u2UZ0/JS8PPEIW7rUOTYqD86w3xhvHJ49EMnBht3HdcjzaoIIb6/nV16ekLS/MB0vryJEk+HVLliIOegpm0tUgMwJQtHcoRUr4M47ozk+rbS6HrD/fxOZD14Pve8RYLcBmZO7kbmrvjdGvLcG4sSTCjLBvGa39X4ke3srBAgVAS8hJtwyBOT1M6Dc058NSUJEx753D09bT8Tx9NLHrAj4efsOWIiZ1Ts3lWbtJhyPPc0nwNWHOfY91iPxfJS5xkmIGY6qu7fhbo8u+mvjMu7nGeXXf++zUrFyPvlkZcSTTXllnocTALLes6q+HMniF7zzaMV1OmCNDxCVfd0wDOpznQaXv4weiYlEyv0C2dkqIalGzUSEcW+En+D1hlA7T9du2YD77oGWLaNNH1tNdxs0bjFXGLDRJhvpO9UOHcQscu+98jc/39/kVlAgfIqPTBFqamEuNiHLo5HoZMAoU4DCvYhAvx8xQWUiLs5ebcNo+3f9PEXuDdJCvfqq/N3SDIqnuVNHGNUwzpTFvzMiEF3CxIQLPe1OM9xxYUBC+6txtey27kS0P6uJTpFgoj0vExpUR9d3ginCdjiiDbxL67MyBSly8CScOTEA0YiNicGrWrxYwEO+zfHaabpNUfl2ffsQkPgtolX8N6Id643ESVJBFZVLua4JGY/M6wsJNsFMDENhjXPcMKDQlDxYN2vn9wPKYvRnDQKYr0I0TJ06nkKTxk1Y99EKXveMWcd27cn58zCenCUz51QTamJo1nSQps8N1YcM+94WkFNVRVXVlsgu1S/zumE4kbsTELL3UmRz8xowIxSiR9fuxCp6/C81rqla/2+99TYeeOBeZuHRUtkanaqqqqi0NPnAFfa5x3qW9fry4ynHWlynAwY+lmUxZMiQSE4ugF27dnHBBRdEPA8A3n///UPTwh94qaxcE8kQXY4IuT2Iq683m9kARNCo//WiFuZ7ES1REWL+2uUjTC0Tnrev8XIpQgiZuXgazJ0bDW7WrYPGO4UTYhjuuvvbwrMcAT0AEwxoa4OKUiRfVENEmIYQ09xI+3oD6I9oQnQAl+L53hLRDJzlOQ7BJoUZ06S9U6b5C83WCAdpn6oHjzAxRZicbX9uNn3cqW3+UCpC+N0IHI94AQWZecAZj7+b/vUNxA1Mr8RJa2LY9/iW6DnR0v4bBAYjPCxDzJoTA9rYATehF2CyISBElSzbJqXMNWo+bka0Vdn4BAEMhTg+LYX9NVuZNdkdzPLBamlTIRIjaROOt2FQf5Yg4CEP6NOrN68tWCRZuK8bRo6mPm+RlsbqtWu4/bZbI+T7SYDh2QzoGUfV+M9ANGD6e9MSeQYQbaIC4bLMnSs8nauHX8GXn37iIuXnAuHkZK787jvnlpbFRyvL6devZ6C6P+IZtbgEy5MlffCAgXTrli7j5emWauPyj1YEzsvT+2bUStAcC3yM+vLDL7WJ63RMA58HHngg/kn1JVLUAwcRzBs93IWnTLgb2e0vxjEdBe2eb0N2kBHY6bOY98UJ/qZKFmJKuAFRjQ8YIHygyy+P5hMtMm23ZFNMIn9DTBs7gQ3J0VGhR1Y75FoDJ0t2IcKdOBkn3cA7WpvCdvMNBMi1QATgvcBgJGmlTiLOjUH83rFL2hAkND+2+6/uOxJHSL9ujwvAQvtjIICsvf2p0IZ6GnA7oqVRsWuCXmiA4xAi9QAE+CrzY2P7PivxJwUbdlvVPbxzQnFuYkWmBvilKWBTb6PqTwiHPDwAeWZTDViV5H7Oo2zNWdgUV+9P7XoeR4DCg3bb9DkXsiysLVsDSfKdcAOuU5Cs9EH9udL+3iItjTG33M6iRQtp3boNc+e9SEnJIj78cBkL/7mALz/5mDF2XxojHKDZSBDGSdo4j0I0VVchAOdn9nh4eVpf4HiJxTJRWZbFJ59+4g82vvuO5qEQUy3L9ZxDwAc+0ZcV4Bhz6+08BC5gpzyjtmzZDASvFRA8L6+6+rqo9uvlWOJj1JcffvHTXsKhiRJel3LAwOeCCy44oPNfe+01srKyaNq06YHe6kdRUlPThEjlQ8wdlQujquEyUzyPRiG78iyiCYz59vFzEUJwewQsXYE7Y/U+nEjMnZAUGb0RswJI9u4xOMLl9dfFS2vGDOELmabwYaYDKQbcakv7XdiaohhpAvohQuQWHACUgwhSTAc49DNEwzIGEfC6JgJECCuy9FA03oUZnf6goSE7+SsQ4RaLwDoUt8DRBVwyYt7RhdL59piHcOdMuwsBEs0QkKZcr9Vtq4AhirWLgB7DgP8zxVNJlefsU3QTlr4rb4qM+yzEK82rUbkPSPYBgyoydW9T+v0/u+7F+LuHt0ZMOSMQUGPFMDcN0a5LItq1PxEhl/8GMekUEgxGlZ1fN8OEjeBwB1eaAmDnVVVx4YXnR+pr0SKNTZuqIt9TwuKpBcKdm2lIQtsg7cdbdtu328d0sK0HHyzCSXfhtzuNt6u9zrJ879/JNCNxgVJT02rtfp6SkhqoEcro1YclS5cECpquXbtFtV8vQd5gtU2PUV/qi17iaS+PtDbRiH/KwZU77riDLcoF6CdYisbfRzPcMW68GcZnIovgLpyF+DvcBMZeODFGdiHAYJR9bqF2v6twkj9+hgCYUiTQ3hqEUOxNsbB0qWRPb23PhiIkqaalkUwL7K15YDJO+54vI0DGBC5AQI83qOGqJLjDEH6IiZtQWoEAuXH298Xa8X8Bs0x3gMLZpuS+mu3TL0UgTrcJrMqV+Hag2jPzQwacjjsonGnfX5mylKBWgfSmIBwVZeYpRgRzW0MC2HmD5eUb7jQKd9n3DhKUI7TxKSY6rUIHxHXemwakXzW8aEqbQOaLgYC5QQgw1vuzAen7uzics1jPWV2nTKeqmAgoPxPJSXa1fTyIJH9iyB2IbwJi/trp6U/LamhkildaMQLu0xFNWboBe/dWRcY6PR2sRPfYlydFpwDRx3k8Eguqud2nobgdA9T8LAB6DgiOQ6Pval39tf+mB9xfmbzXr18XSAB96IF7fLOkT50+m54DBrrmRc8BA5nz9HN1DiAYlEzVG7ixvtSXAylBc/VoxHWqE7n5QMpPmfSsFpACYu98VyG7Zz3kv4m4wX6CLJzjcQSWrqq/HDEzjLWvmWV/shFNwpN2fdfYf9MREObVnCQY4l0ENifFs+u/+mrJ+B6YjBMxeeTYbTHsevbE0B783a7jNSSlQSWSagBES9ULdxwV8DcXRcbMjHb3Nmxzol7GG+IJpWvfcnMhoxr+Z5+rhN1eBFT57dTVOZMQ4JCDnTYihmZM1zIp/knQrvy3CAhVhNvXccetaQpcgjM4BchzaG9/n4fjLm4iGo1ygjUfw5G5A7GfcyvPdSDzcC5u01U20MtPIzXaiS2kCMvgAIH92vMKIbGZVFEm21sR85SuhayokDqDTGvzcVKAgDPOF6ARl3HOqyJaO6aKH/claFerB9F8Bhn/VNwmKRCnkVgE0JKSRdTU1BAOh6mpqYncOygO0NTps6P4T7UJIHis8THqy4+jpKSkxoxZdSTLYQc+P+WiFpDzEOATJEzuRARGKg74KUXAQEdE4xAre/p6RAgqE8NGZLffyz7Xyx8xEM2JH9G2yG7PPtxArUMHCRaoC7HnnoO774LMELS3HBAyBxG01xMb8Kngco/h1loZCOFXFZ3sGwQSOgFvIFnOcxFBdh8wxBTNQFf7vDeQ6NBBwORvwLu2aUSV2YYTRwYcAfAUMq6j7PEaiwBUYvT5bBwe0Td237xmzdEIaNhgX6t4NJn2mM1C+FA6N+h8HGJuY7ueG8Dl1eONuhxpm/23g/033XCyz+vmpn6GA6r06wwEZPl5ECX5gNHsbHjwQclar8e2Uc9y3vyXqKnZT+GD91H50YqoOhsj2iFVpRrrykr390g77YbehdtjTo2zF3jdYZ/3JMIL8pp7+vfrwaYqx7Smc1/8wEY6MldW4uYVjcaJon163wxqasT1zft8uttjPHToBREg6723XxwgP0FjWRYffrgsptA51vgY9eXHVfzm6pEuh93U9VMuagH5CuFc+GUJ720IAAEhzarg7huxY+PgmH2CBNZqJJhcoX1sLrKobsXhj3hNOEprolT6qq7OOLt2r4li6FBHiJ18sqRb2LELSi0423B2xs/Yf88LqEfPHRVGJqFS7acjAlRX9Scj7sBhorNuK+GxCsfVejLwAcJdyfJco3ImBQnHB43oODIrkpw4MuAIgGeRMV+AmPd0QnNQnxfa3/+GCDQTCS6nq3/TESCTr/Vb/30bQgK/Gica8Ft2f/Xz9uDEK2qFZnpyNy3SnzAy374w4USPuWlHtfCyKnDyWKnrGiPAT7+XMl19iWjiiook3lJFhfDKPrLZ7p/izqDeo1s6AwdmcfLJrVlugx5vnQtwkobqY63iUAWNvTf20on4x//ZhXDG3iL6/ZlQU8OmqiqK8I9FosDG/PnCgylCwFNX+/qJdr3q/usQsvbfn34u0FR2BfJOpCOEe68ZLF4clDZt2tGzZy9uu7WAjIzTuOSSC+nXr2dglvn6PFv15cde6oHPYSxqARllGHTz4WJsq5ZYH5mISaYNohHQhfWDSHRh8BdYBtFAoQwhS0PsoHLeukDcdqfgz5cZO1Z4EAkGNPeAg/eTIM+eTUprdQPiAu8H+LIN0WTU2Od/j4CXcqIF6ETE5JRBdKC9fshuGkR7oPfxWft//Ro1LkHCMYiLtcCU8VcC2kCelwo8OACJZ4M9dn7B8gzDCYRXAfzePv8bJMih4su8hfB7vkOAz3d2napY9vdCnKB0IMlCVVGRtvTn3wH33CpFQG4e8tzvQwBXT5z8bdjtqjGFo9QRJxje1YaEHFDhCoLmWk8D7r9Hon03buyMR4rhBLbMQZ7TH4dewrp1a+OaWybYfztp86tJEzGheeebim01b/5LlJUt59lnX+D0vhl8aRi8jiPY8+3xKcZJsBp0/87E5r4o7c3QgOtB5nrXfhm8W7aClJRUX8BRaJ93G/7JZGvLuznQ4HHHEh+jvtSXQ11C1mEm4fTo0YNXXnmFVq1axT/5GCqbN1dzKEZm27at/DnnYt5bugQQQf1BCJo2g6laoL28XDi9WqL2TkeEia7SNhDQMQlHVZ+L8DZ0Exi401ME/dYcARi62r8fsisuR7xi5hkSLTnSBsNxW9d5FOq7Ssqoe0+1Ar4yYJtWjwoctwP3zl31sxzHNAUiAPTzgrxuliFgZBBuT7eWiDntUgQ0hG2Oz+TJblNOaDtsswTM6dN140YnMrRqo4mTNBaccc60+55uuMGD+v4+YnLReSMqQKGBCNwWWr0AzQ1okAQTPR6BPaolG30+8uwuwTFX3oWMr/f5T0dMkCHc80uByk+0Y22ArxFQ2sWAjR5eVF4u9K6Gv5limgyaa8uAOw07x5oaQ3suhZBn0sAeA/XK9eiWzoqV5THnNnY/EhIasHvP/sixBmHYX+OckxCGfhkDeP7/OXDf+16CADrFvylEQG3Q/fW8ZWp+PvvsCwwadDYgHKCMjNMCr3/kkUmcfnr/KO2Jikuke3WBAOYrEdCir6R+9/aWeG0pK1seqMU5GD5GKATHH590yNbSn1KpH7u6FTVu8cph1/j88pe/pEGDny6VKCUllZdefYNf/vyXgCyu+y0BPbpWYZKtVShCuCIhTz0mshP3evVA8K7UQDgFuro63z7ew1NXS0TLUIoAomuReD4VONF1TdPJCxUrKaNuVvsEB/Qozy+VkkFpmXSzQRJOZFlVnrP/PoOo++9BYvw01vqUgIzbIITzpO9s99n9SUAIvMUmhDzat0bV8IK9wARpg2babVbyex0CVPRxnoyYI9abIjznIH83mPLs7yLaqyoRB0ydjAQFTNfuv90U0OPVQr1l87SU+ScPmQvNEQKwQbRpUBHPvVrCz+yPPu/WIeZDgE98NGGTJsO/TAE2fvfKxyY4I89c8bi6Ak1M4WWpNX0/ot1SZcXKchIaNGAETrgApW1L19rdHLD27KfIHuu7gbAGegDOGDCImbOfjnyvrFzDhx8u45EJU+jUUdLvlCLkccXjutju0yjDcPVJ3b89TvHjvrRt256MvhmMMAyKiDYXXX75lb5AQpnKlGZKmcz0ZMZ6qQ3vpjZk5aDSpk07X2+y+lJffsilzohk0KBBvPDCC6SqJFF22b59OxdccAGLFsmO5bXXvEaVn2ZJOy6Nr7/+TyRHUix34UREME1GFqt59vFhyK7+Gtzk5yASookDcFTJQkwpIz3nrgJ+p9qmnd8eEWBF9ndLAwdBSRkjfbL//hER5rNwk2/zkKB1nYlOhVCExIy5Akd7cxkS+Xm7p0/ZSNDGO+3v+s72XOAXwGe2hkF5vfUETgWUOHzUFNDU0vAPktjSgKtNhxPSHQnKuNP+7h3nFNweTukI6OnjaZ/XO+pj3IK9hthZ79fijLOFzAUlHEMIoNDbpTQrypzo14Yk+5y7Ee1df0RwB7VhHDJ2mzz3SkBMZxsR8HoXYg709lERh3MRkKqAZc3+/exB5kIRTmyotxCAorf7fBwworhOXq2KX1C+3qdJyNCN7q5FAG7nPn3JKXO0Qi2QgIbFuKM79+iWHnWfJbY2qQDH6zLIq8rrJaYTQAefOYgHFpeQXlMTFcupNnFQ6snK9aW+uEudNT7/+c9/MJXdQyt79+7lm2++8bnip1uWL/+ATz75GAsnR1eQVgHERHENDnH1ZkRQ5CKEZXCTn/MhalfayT5vGO64N1fZx6ciAsireYDgXaUqWVmS6sIbL6et4b8TzkeylHvj0OxAIvX6JVAssPvs1d4orUSp3SeVGEWBHhD3czVOOcAaA5I9nKTKJHjGkBfgBHtsC4FvTGjt0Qa1rpbjRTj8no9wa0fUOM9DhNI27TfD7sd8+3vQzluVchwuRz/7WNB8aYczzt8jpiw1VikI8Mm0x6rQ/h6vDdUICfwqRAuoQEFQG05D+q1zjHIQEDMC0WKNQUjDlTjmTC9fZTICDkqRZ98M97NPQqIr61st1e61Psd+/vOfuwBB7ojhLCt9O5L8txioLF9OanIyI0IhX83MS6++QUVFBY88MhGQgJUqdIHOTRpf9JjrPl4+TbJh0L9fBnPnveiKfLx1axWXXnRBTNKx4tuUI/PqQHk39WRlp1RWrmHRooX1sYh+4uWAOT5Kk5Obm8uDDz5IUpJjTzNNkyVLlvDuu+/yxhtvBFXxgyiH0rY6ZPAAVq8sZxciyN63BfFEjWOSnwffVUMzUxZSVQYgQrkpopExcUwVkxGgoGtFQHbae+zzknE8jtTudAeyo/ez+V8ZcA12O+4Hpk+Hl18WLx1VDEPMF9O06/IRYu5T2n3WIEL1Efzdn0/09CWIl1CExFo5DzEdTdTqGYVwVh5FNGIQzElKRLQ2OudlA6KBUq7+jXE4Rs2BUw1YomH+REOiR0/BcYHWUyOMREDA93H6pHOG5uAkxjzPgLIkmOCZLz1sT6vRdvu+tK953VMvCBgM46R9CGrDmcDb9hiMAN5DgMtKQ4Iw6ryoUXnQvRpKTHcdelFzVX/Oucgc/wJ/vsoMxDRZG36N91gFYpL8/+2deXwV5fX/35mwKBCyAHUFZV9kCZsQQML2E8VqpVUQJS5QUFmCFXCriltFBf2KoCAILqSIVKu1ikVlFUlAhYgoCAQsWG2FhNUFIXd+f5x57ix35t4kZAHyfF4vXjd31meeGe75zDmfc85U3NqV9es/ZcAlfdyp4MD/DPjCR3uk0sSTk5PDWoshgwayftUKphUW0gD4JzDHMOic3jtczbi42p5rB8sxnykstP8fxMfToWeviArJSm8TH1+FwsJjxdLd+GmHyroFxYmkUznZWnCcSHN3MqGoGp9iE58WLVpYJ4iLKE5YpUoVzjnnHO666y569+5dnMOecCitB079EE5BvBhZiLflM0OK+ylUN6RoYG2E0LQlktAYiA7iF8Tl/5VjnWp6egd2uX6w+18ppCLG9TDBhkfpTZznVd/rGnAsQfQdDRpIV/RZs6DGT9A85O7FZSBu+ZqIEb0cMahjEEIUZBziEPL2C8FizpqIlyeaAPVxJMQAwYLlCdhhvCykEF8WUkAxD6vGkXW8q4G3DTg9AWZ4ih8ePiSZT2CTMu941Jx4iaUiiP2RcgbOuR+APA+/94ilDUMKJZrYotx3sUlAHWu8y7AFxArxyHPmN4b3rHGo5zUVuQeTiRS7VzdgWshuUDsGCTPlWnPQieii56B5moN4PIPu/QRrvOqcvyDi9b9Z16vgNGz9+/Vkx8ZcFwEb7nMvx441aNWqC2++KS9uTgO0b19s8rB06fsMGXJV4Nid+02861769+8d+LwtWvSmq1BhaaA8i8edSMa7OATzRMCJNHcnE8qM+Cj06dOH119/nZSUlJLsfsKjtB445w/hLYh3IhPRluQ5tlPkQhkJP0/GaISwmMhb9M1I6KIK0pKiK+JxOR/xEB22jh2t91CQgQYxmDWtYzq9F4cNO7sLpEbRmyHb8DpheLY1DGgZkvot0YyDaljpNZoq26Y94lkhxnHC1xbg8VmJHRrJQqpJf+RDSn8N2eQh6FhOpCNz1R7bY1QT8S4pnZWC+u7nHVFesJ1IqOg27CKVYxGCPBt5lmpih7We8rmOPgYMDtltT+w8KCGaPZE6Q6qtxU+OefF67KYSSagaIqLzRsi9eQ+7EKPf/amBhOac5MvpqQsiTE4YiNfusN/cGQYd0nvz8KNPRHhhtqpzBNxL5S3yM0DRyEMsj89K6/oz4+NpcEFrcjd+Tlfs/noQ+XxA+XsnSqMr+4livI8nq62icKLM3cmGMs/qWrZsWQTpOXjwYEkPd8rCKSycjrQpeABb61AD8UrcZm3fE1uT49RAdEbeggsRgnQY8ew8ZX3GIRVhp1vrZ2FXbvb2HlKG/l7cGTOjEBI1FenOblrHUWO4FDFqTiLTEphukZ5M7AdqONDOiKz3k5AAm62NgrREU5EslnjkjT4L0SO1N+y6ORsQTZE6jl9hvRbWeKobkv7t1CSNtWoJ7bK2NRBi+T/LC+Ac82kJks79srVtUfpY5SJC9GaI8BZsIXSQ7iqEfxHAXETQfS92H6zO1hyvxK6tk25dx25gmc915CbAPww5h5P0gJCd16y/ByGkR2mYnJerxO4gBGiONQ4QcnYYu66SqmsUdJ9/xq1X+cmaq9OxNW1eTUq9lBRqxcXxByTL7xXsliYRc2c1/8zOXhNxHeqlI+heljTTKUhPk4nco55qbIWF5G78nHjEU+vUA21A7mNQkcSyRFE0RycbjierTePURImJz+zZs1nsEHlkZmZy4YUXctFFF7Fly5ZSGdypgMaNm1IvJYXRSHbTUeSHbCLyY90MCck8ZW1/BXZ4qyfSL+gyQ4ybCsnUNGzh50bESOQjBnUKclPbIiE1iDQ871rb/GIdMx24EdFdHENCCQMdY1DIQH6Ip1hj/iPyw56KbbhaWdvOBT4PSRjBmQI9Y4YQp85EirLHIcZhPFbDSuyqxqkG7PQY8r0J4kG6CU9hPSTE9wNSJPHCkOinnILlNofgipBd+TlkzccXAWP+ImQXtQsS+Tr7WCmh7lSEEKj39D7Wda9FerGtRcidIqVBP84gob0BQAvP89DQsNtX1ETq9IR8rmPaDCmZ4PWGgXjXPraOcY9FMMLX69lWEZdmiDfrbwhhPt+65o2O9QOILKkwFmh7QWtMRCejCLoSQyudVxxuYtQktQN7Cwo4bJq8gczzAmzdUvDcmRHXESZlAfdSZTrl5W3jvffeIy+v6GJYv+J/7bEzAtXY4nBn2Kln5xlkHq+g+IUKjxfFLXR4MiBW81id1Vb5UGLis3DhQs4880wAPv74Y7Kzs3nhhRfo2bMnTzzxRIy9Kw/y8raxp6CA2tiZLJ2RwnAG7g7ZWYiRvMfadxWQYYiw1WnwqyRAI0N+EO/yOUYCog/qjFTW9b4534ZoPJz71MKdYhyyxqd+LJSH4hzs9NwXELKjPLHVrf3PwH6wgt6ojxGZodIR2zgoo6XexfwqKisSdRQhRsr4n4YQwWcQkewqYEvI9kwAfBQSI1sVISlgV5wObGcRJ14ib1XmMWMkjOTMaFPjb2UdX70v/+Bz3YcgXOYg6MdZEd0+RmSGWkEC3GU9D42xe6YFXYfyyDyIEDGQeb4cIRGNU6UX1SyCswYN6xpvQLxRxxDNmIEQ8OcRL90uRDvkvN6fgeqnnQ7Afda5s6z9VfPVOGueunVJY86cl8jJWc/Ro0cjntscpD1JtLnr1q1HhBdmHVLYcMwY970cNy6efv36kpycwrWDB9K1a0cGDBhQLM+HsxaPygYbhjsbbSH2/5sgwuaXqVaW3olTtSu7zmrT8KJKSXfcu3cvZ511FgDLly/n0ksvpUePHpxzzjkMGuQt1F55odysqgDZPERAq6DCWeCuS2IghvlwiMCGmu8TvXnpVMSL8QuR2oi5Aft46+mMxg4lqDBKFu4Mqp+wW0/URFowKATV+9mEeGNaIO0znkdIiDIOKx2f7xC92enEiTB3NtxlVb5WY3fqSpoiHpO52F3I70RCNWNwI2jMn5rwiQkjDkV2gB9shf+2ImGUL611TRDPDtbc7EaIR33rumZay/+A7R1x1mlRJGMWQmSHxngecrGFyUHXMRdJdV+GW1sCcg9+/lnyz3paYxqK+/kxkNT1B63rdepq1POg6kQleK53NkKAPvvsE+KI7BY/HiHOGcC0ac8xZIj8b8nL2xZRydn5nMZBRI2bTMOgX3pvGjVq4ts8ND2tJ8THkZFhF2zo168Xzz0n2yrPR1gzZHk+iiqGVbV4Fv/zHxEd2x9yiN9WOa4J7Ge/ic+ysvROnMpd2UvaqV7j1ESJiU/t2rX5/vvvOeuss/joo4+47bbbADBNM9ynpjTRp08f/vOf/7iWjR8/npEjR4a/b9myhYceeogvvviClJQUhg4dyogRI0p9LMXB+ec3JB4xKEexuz0XYhWm82yvfmROw87uCTL4ymgFHUMV0MvC7sT+HyQkE+0t09m0VL2tK8wguPCdIj8KhqWtcRYDHDdGvDP/DsE/EI9MTyQ0l4EYgV24NRFnEr27/YgR0uk7I0M0Pmrs73iuUxmP3ojxT8Du8n2adS1HjcgChuPGSe2iZcukIvLekC3sTUfs1wRgpuHOvDrDgPiQW+PjNNze674C+JBIkhFC+rWpCtaxnofBwHIjssN6puWZGhYSgrIa8fzNxU1cvvpKaJsyyO/iFjWHEF3KJwSTbgVnoUTn9dZCepVl4SaoYN+/ceNG8c+33mDiXfeybNkH4WP4bZuKaJ+c5+7Qpl3YsPl1KldG3LtMeT7UtW1FQq53FxYy0fJ8FIcA+BndtM5dyF6bTSqRhG0M4j1di13ssyiFCo8Xp3Khw2j3X6PyocTE5+KLL2bChAmcd9557N+/n57Wr/HmzZs577zzSm2ATmRmZrq8STVr1gz/ffjwYYYPH05aWhoPPvggW7du5Z577qF27doMHjy4TMZTFOza9W8KEW/DROxuz1ut9UE/Mg/i7pLuZ/APxzjGVcDriLGoj13nJNo+TTzfleFViKZBOR3xGIWw6uKEoLnHO6L6dKkMsG24iZb67IMd9mqGGGw/QjJgADRtKs0vQYhbvrXfTMTQKoMyDvEmKI/bvYgWCISwJQG3heBB75gHwBVXCPH5AQnVmIgn53OElPykNEiO1OjM0dDxkKSdT8TyWgXMn/o0EFJwK5K9tQJ5Fno59gl6HsKFBpE5Hhow98nYBOXP+BOXmtWrM/rIkbBBXot4xxJOr0Hbdu14cN1aCIViFmMMWv8b3GHNdKTIZTLu/wOPLl/qSh8Pem6vRLReryH/134G1n++gVE3D3NlQzkrIit4lynPR1sku9LZV80AvvhiY7GMZpDRvXbwQD5duZzzQyEXYUusWYt2LVqS8dkn4WXl4Z0Ih4Q83qnyIF3lBb/7r1H5UGKNz913383QoUNp3LgxL774YpiE7Nmzh2uvvbbUBuhEzZo1qVevXvhfjRo1wuvefvttjh49yqOPPkrTpk257LLLyMjI4MUXXyyTsRQVH374PiA/9GAbAiX8VFlLXoGvomqNjchu02PGQBXDFjJ7NTyqn9BfrGM4tQ/N8M+YUfs4+1/VQ2rOZCEG2HsscFd1fhAhPSOw9QsXWazpZdx9urw6BnWcqtbnpYgHY5v1fVAosrt9164yH2Ab/y+xw0M/4daWxCPEzKkR+dVabiKk9H7gIiChFkyYIMcdMgTuudPdUT7BGtv5SNiu0EeDNG2G9Cm7GimW5zd/SmiuEELI593Is7IWd1+t1IDnwTBEc1UV8dq8C8wKSQhNza+aexzzr4gfnuU/Hjni6mqvwqCHf/6JSQ9Npk3nLr7Xs9LzPWj9D7j7kanstOeRZ0+RrRrYPc9a4n5upwC3xsWRnJjIJGucE5Fn/HP8hblFqdyrPB/XE9lXLQF4ae7zgftGgzcb7Lnn59EpvberVlcccODHw6z77BO6d7X1TQ8/+gSfffZJmetsdFd2jcqAEtXxOXr0KPfffz+jRo0qt67rffr04ciRIxw7doyzzjqL3/72t9x4443hBqh33HEHhw8f5rnnngvvk5OTww033MC6detITEws1vny80unfsKTTz7BY489Eq7K63Sf5yJG6gfH9t5idJ8AI4zI4nWu2jhEFhzMRZpBXgZk4y5WNxZx9e117BOPGHQFFfpwhjL8jpWJEIy+iA6lgbXsGcRr8xnRixWuRIyK8sb8G9trpJCKiL6rIZ6ZxDjYVxNmznT30zp0SOZFzYeBeKHOILKLunccIOLou5A3fO8cezvKT8DOqlKI1dX9DGv80x3z90drjDNw1+7pin89m32I98vb+f2VkIx/FBJSK8T9XARd953AYwHzoVAFCZXeaq27++77uP32ifTvl07e5xuYQeTz8CtCQP6DkEXn+gOIN2UXkXWqVNVy5TVsjYikFZIQ0bP3me/Qrj3rP98QWJtqyZLlTHnskYjigzNn+9fGueK3/clemx219kvjxqXjOcjL284tI29i56YveNbyoq1Cav206dadqlWqFnncpYW8PNs7VdLrjIuDOnUSSu23tDJBz13JoOYtJswSokOHDuauXbtKunuxMW/ePDMnJ8fcvHmzuWDBArNTp07mo48+Gl5/0003mffdd59rn23btpnNmjUzt2/fXm7j9GLt2rWmAWYimKlgJlmfOP7FgVkDzClg7gJzPpgpYA6QyI65y9ruHDBrWsdw7l8bzFfBnAhmLTANMLOsfQvATPdsf4bP+VuB+bT1fSWYsx1/m45j9fHsa4DZ3lo337Pueesa1PXPd1xforU8aEy1wNxoXUcimMnW8qlgvgamYbi3Tzcwn7P+ftmaS3zmapfjepxzi3VfUqxzvm0tmwjmVsf26hpXeo4LmFlZmKZp/5s/395WXYd3PDjulfccc4ow5qlgfg3mYmucat8q1vkmWvOc4pn/FGt5jRj3JdVaFgfm447lA/r3N+fOnevaVj1LdXyeEfV35yJct5qv6tZ8ZVnjy7LGHQ9mUlyca3myYZhGlLnq3KGDmRIfb2aBucKal0TDMAf07+/7//a1116LOveLFy8utd+Ir7/+Oup8JBqGew7i4wPHraGhERsl1vj069ePpUuXcuONN5b0EEydOpU5c+ZE3Wbx4sU0btyYm266KbysRYsWVK1alUmTJjF+/HiqVatW4jEEobSY9m2Zt4WLqw1A3PV5yFu6ems3gSMGTAzZuh7l+QE7PPAdIkY1cWdWjUa8OK8gIbWJSEaYibxp/xHpuVQN8Vb8z9r/XMSzNBMRq/7ZOs847FpC6Y6xJCM6imVIs8adiDD2aewChn2Q1N3hSLHBGYgXYhyRXcJDSAhjHnbDVHVNtwDXWuvOtsYH4mlJR7wxrorUIXu+VI+rvyKenpaO/YM0IuDOMLoMEZi+QGRH+c5IGEYhDoj30SBlWkUSW4ek7tEBxz6nIZ6W2wjWwRQUYcyLrTlR6GN9HkOeuc5ISEiFLRRSreOf51leHXkeLsX2Pikht2r/0RhY88EH7Nt/MFyrKNFal4VdVsD5fJ6P1PsxsfunBV33j9a4jxCZffgd8lzdbJpubZKlk1mE2+Oj5uqT9euZhdT9CWt2QiH+tWQJH3ywkvbtO7jGct554uUImvuUlDPZu/cQpYH168WnFTQfI0Mh97UWFpKxZAlr124oNa9TWUB7LUoOPXclQ1E9PiUmPueddx7PPvss69ev54ILLuD00093rb/++utjHmPYsGEMHDgw6jZBobR27dpx7Ngxvv32Wxo1akTdunXZu3evaxv1vW7dujHH4oV67Toe5OVtI3ttNiA/ausQ0pFqwC6PEHb0aAnVmCFJbx6ChFXexS6yt5XIsJFTkDrAWhaHhE+cBq01QprWQKQBQEIHqrLwZkRroYzfWEQofRM2uTkPW2OkfqCdBOkwQnicY0hHwm8zkNDaMSTMt9JxTQXW2A4j2pkLEWPsHE8mEjZ6FMnKao1bH2UiVZwfRhq7KtITj52en45NZJxhvnMREe9i65z/IDLLag92BWmw5jtkd3VX6GOFx4Yi856KTSh/cRwjyLjeia3h8o5Z6YI2EFleQIWBlKh9AKJVmYIQ4x+QukEDkOerFUJifyG4zIGzN1wekBQKkb02m+5d03j0k3VMKyykPu576T0GSPhLjTWawF4pWRQZKLCOoZ7Zx7HJslMz9oBhcEYo5BLmplqtIRZhk1snKbtzwm0s+dCtRmrUKLbQt7QMUqxsqt96tlfXWlrp5aXRniIaSuO3tLJCz13ZoMTE5/XXXychIYFNmzaxadMm17q4uLgiEZ+UlJQS9/ravHkzhmFQp04dAFJTU3n66ac5evQoVauKRHbNmjU0bNiw2Pqe0oLKDgG4GKmOC+LpCarFUg1blKugCMUfgb8T/Gb4BEIacrEbk6o+RruwBbZOA6C8Ps8jFXSHIcZTpZo7DdcyxKgus/7VRPoz5SE/0s5xDUCM7+MI2WmCNM68zFqv0t5VsUa1bwa2oNRpzP3G09IzT22QkgHNHcsUQYhDyM1hIj1PU6x5W29AL4dw5DUDXg+JFmo7di+sH4g0nmcBj4bkeN9YYx0WkvuwGHdxSOd+hUQSm0zEyzTIGv9jRJIvNUyVJQiRJEMZ0iyEfE10HEM9U1sRYhgt68xACm56x24ANw6/mddOr+FK1Q56Pmdb13YtQgT9rnsA4q1Tv/XqGvyei0zrut7FJgltO3chw3rZAOjW6UImPfQo/fv3ZhkBpGxjrm+K+vHWfikqoQjKpso0DIxQiHXIS0kTa25KK738ZOtYrqFRWjBib+KPZcuWBf5bunRp7AMUAxs2bOCll15iy5Yt7N69m7fffpvJkydzxRVXhEnN5ZdfTtWqVfnzn//Mtm3bWLx4Ma+88oorRFbe+O9//wuIR8HbxCOoFst12EYtnAmFvNUq31hQpswTRFZxjrf+HURIEwhpeRRYYEia9BRr/QpDSMMziLFWGVXKcIEtGq6DeGxUscLduKHGFI94auogXgNvX6Ia2BWi/XqUXecYzwu46/RsRgjNbdbxtyJVfL1ZOPUQUeyD2MUEFVoDPYCQIX3EnBWRNyTAUEOMzaXYfb0ecozvUoT8bUGM9sXAW0hm2GjEewRCNO9G6sGoIpEzEOKjwk0qHHUACRfdi9yrdp4xt2ubyiOPPA4Ek4xG2BWXDyMexFrWfE3FfqbyrO0VIfU+WwuRe64IlronM6zliYlJEVWKg57PqdY13oLUUmrtuW7VqytcWRmZwyn4PxfTrOVTES/Yeeeey6SHHqV717TwudeszWbKY4/QutUFUefLryJyUlIyry56k61bt/Lqq68XObuqJP2u/LKp2nbrQXJSEhOx27G0B8YaRqlUHD4V21NoaBQFJfb4lCeqVavG4sWLmTFjBr/++ivnnnsuN954o4vUJCQkMHfuXB566CF+//vfk5yczKhRoyq0hs9///tduC6Lqm6rPD9BtVi8mVbONgjgH/oYh383c6cHoDFi5JReY5EhTSu94bZRh+ANi3ltRwjFFT7XdgcSinkEqZ3iF46piaSHm8Ab2Noiv/HdYv0Dt3EqAF60/lalKFMdY3gCCaldi4TFooVqJjmO2wcJIdxt7UcUL9wqxDCoMJKzLnkGkZ6cTESXdAg788sg0uOisqm6IvWWspGiljdZx9qD6K5UiYHw8b/8gnf/KaHloPDI/4jU9aj/7A8gocJ0JJwIQoTSiSym94C1PogwFBZKu1NnleKxK5djOsNN1vX2tubgfaSVCogOa6h13hnYzwDWNt9ia4uCxjARmd8D337LgP69qYVnvlatoEmqaHiC5iua96Rp06ZANUbdHNs7kpe3jVE3D+ffmzYWq+qzX62fe++eiHnoUISnrVpSUkyvUyxvk7dIIzj0QyUo0qihcTKhWMRn8uTJjBs3jho1ajB58uSo2959993HNTAnLrjgAhYtWhRzuxYtWrBgwYJSO+/xwjDiXV2jQVz8jXyEsGPGiEB2cUjCXXH4hwLiIFxfRWEAEqZ6iOAquP+2PlUIYVkUQ6+6dNdE0tR3EhnmeIpIY34DtrfKqZtRhgmiC1oVSZiOkJym1nV6dSyjEb2SswO9IoxFDdVkIjV/alh/TyHYC6fG2BUJtyjjqTxUTuPRGQkXquavDyEGPwF3a4dMpE4MSAjoW4SMGQh5m+sYRwSZKywkY212IAnuBazH1jZhHVd1ZD+Mfa/UfZlifdbD/WwlIZ6YohKG556fx+CrfkfGxtzwMhVWO4w8C98gGqwm2JqnjtZ4VuIO6/RFPECHo4yhJtAF8b5NxP3/LTxfn31Cty5pZH6y1k3KPMX5FGGIj4+nsLCQhg0bUbdue0bdPDxqCwtv2KikhMK0BB27dv3bn5gAGQUFFBTk+4ajihq+OpXbU2hoxEKxiM9XX33Fjh07aNWqFV999VXgdnFxccc9sFMBoZCYfuePSzKwKgSpHiFsqgE7Q2Jkzrb+5RCp7aiOVKVVGU11kbfyh6xtvFlYyjjUQLq190QM4w6CDf0k3KLlIC9NLYR8OI15MkKUnF4uRVYOEWy8mlr7HUWM8BRsouE9v8rsAQltNUP0Pvgc3xuqUe0HhlvnyMLOfArywlVBSMNV1r7KK6JIXk8ixbcgNXf+aG0XYYyt7ROseVmNeEJqY9f0mU70as+jEeLgfUbWW38rI30FMrfe+3EY//sUh4Tv9lhzsxEfEm4YdL+wC6ZpsnTp+2HPQlJSMs89P5e0tI5MxC5mmYPUpDIQ/ZNCdetT1bLa7ZinrRDW5SzAv7WDgdz7x7F1bUHzddMfb+a1GjV8NTtOwuDUUAGk9+jBytWrA8nMU09N4R9v/o3vtm2NWaE7iFD4EZZo1xJ0HGf4Kpq36VRuT6GhEQvFIj7z58+nZcuWrF69mvnz5wNw2223ce+995Yoc+pUR4cO4o/w/rj8i8h07DohebvNRd6Iv0F+5LojIZDlyI/xz8iP/QNIWGA18DWRYmCVhaWMw3OOMSxEwjtBhl61ZLgd8ewE/fjeir8xh2BD7xcSM5AwnJ8RNhzn9yMXhjWHu5CQ0FjP8RUhbIt/+4G2WFW0jcjeVsoLd8yyghOsc12Am2wswm746fVMqUy5oDm8H/FS1EXI6L2OefsjFiHD3ziNRfRNiQiZ+C1CHJTYOgXx+uQSTF7vC1j+LyRlPwPohg8JD4VYk5NNWlrH8DLlWWjcuClpXdJ4bl0O75hm2PNkEOn5GgMkJCUz+dBBUgsLXeRG6aN6EtwsNYSQ386IuJ0o89WmTVt+F9Cv6drBA1m/akVYhP6MY4xj16xxPYcgz+JsawyPPfZwePmaGGNwEgpnOOreuye6CMtrWI1mi3Ac5/GKGr6qDO0pNDSCUGyNj+nJrVu1alW4m7OGG71796N6fDyjCwt9dRODsENTlxGpFRljfaoZT0Kq1oK8ravQUJBRW4ZdL8f5o90Z/95XmWOgqwE5lqE/y9o+6Mc3KM0Wgg19HdzGKx777TqILKnaLEEZX9uQt/5cJOThPL7yPV6Pf1bV9VihtFBkb6sqBtQKRZKxzbgzqyZYn9HSuIPmUCHfOuZ32P3LmiHhLz+y2AchSt5QWwHircnFLm+gCJ4T6n4EtazY7vh7I+4O688jnppjiFfK6VkYMSyDqlWrkm2F4r7Dzh7sRcA93r+Pbl3SWGPt47x/ENwstQZuj+NogksWtG+bGjbm3n5NijBMQchGxH30qRGUgQiwEz1zMAbRT3m9U05CsW9fATdePyRc6gLkHs10nHcCon+KCGVGISbFDV/pjuUalRXHLW72EiENG3l52/jV6lTv/DFXQmP1g74EOztF/fBdihR9y3Xs9yPyQ2sgP7aFRO/wXhXJGNpOpOEdFIIVPk0srwgJuUhHMr9S8fkRt8YQlMmFz/nUuh2OZSrFXCGaVyREpJF3kotca9mdiJdH7WsimqncKPtORXqjDQnBx0i4aTfi6fEz1Dfg9lzECkl1JnIOM5G5VfV0hlhjecr6p8KVg5A+aV5Px1bgEp958xNbOwmegrofe3DDWUtH/f2AYw56ImTpDgJ0LKtXkWgYYRKh5u89n7GCPUc//fwT77+/gvz8vcTHV6Gw8Bgzpj3JpznZLi+eapZqIKTH7356y0EYwONTnyYIijB4++l5x6hqBNXH9hwGienTPWNwhtR6pHVgT0FBeF0q8v/iNdxhwFesdX7H8UNxw1e6Y7lGZUWxiU9cXJzW8BQR2dkfYyI/jvWA/hDuJXQZko00FdtoT8DWNGQg4a5Ux/qjuAsYxuq0XgchPX4i2DuBaiF5cx8BXA7sCtkZOFlIuGyZtb9XTH0Uf81FbaRGjzfkpJqgTkNCcD9gv63PQLKzgq6jLbamJ8goKTTBrqq8EiEwNyO9o4L2nYi7YvYfEA2Q3/nqE6nZiRWSeg7RTXmNcS5Cim4AzrSWv4x4LTIRr84uhOA8jV1LqDeiC1LkIprY2o/gKfJaDynyqDK8FCHrg8yhCkM6s9iwtvebGzWfI0MhLvBs09j6DJqjnZu+4InJD4d1KHl52/g4JzuwiKTXi+k8/zjrWusDBw2Dzum9SbWyuvygCIPSGQU+h54aQSCeLCXUboqb7OYaBg1bt2HW7BfDhOLKy/vza0FBhNC+EfJ/TXn7QBqthoBFi96isPBYiesBxQpfHW/H8rIugKihUdooUajrrrvuCreJ+PXXX3nggQciKjfPmDGjdEZ4CqAndtqwMiJZSAr6TiKzjQYiP1ipuN/evZ4F1eHdz5tgAP+1jvEoku7tNB5nIJ6EPyNGQoXNnMLoS7DDZbchnqmdiHeiHeJFcB4zEakHFGSscrENw1TEq6U0O37kLBO7uvD7CHGMFjLqhBhstZ+ap+2I1yJo33jgHGubM3GnvXv3ecf6dBrdaCGp6kiZgVnIG/2DCDFshoTMPkHIiJqjfdbYp2EXaVT3oyly/xXx6oy7lIAKvRWV4PW1vnvv0zLrX1KtBEKHD0W0gVC1m6KFQM/0bKOeVS8hVkR7SChExvKlrFixjF69+oS9MJciXpBtuItIRjv/5cjztRvol947ZuhGEYbJq1ZE6IycxEF5R9asWc3tt2diIOE7hQHYpR+mOs6tsqny8raxxtP41BsSVUUeVwJjDIPU1m1o0KBBkQlFeYavdAFEjZMVxe7OXtQ09Vjp7ic69u49/h4peXnbSEvrGM4ccnba3kpk522I7I7tXO+3zz7E6OY69qmOiJdvxu70/S7i2XmByI7cUxGPSk1EZ6BIjfOY6i3bm/Gi6gKpT6wxPot4E1Z61jmPVQchAQ8g9Y285+yD1LdRP6F9kW7vM4jsBn7MOqYZsN9qRBPi7Iw+ztpnv8/YkhCRdw3c3ehvRfRV3vv2POLBC3mOhWeZMo6jiBT6jkY8OSHrGpYhgm9nd3N1frXeO258xqaeqRrWeS/HrktUBXftKHWc5MRE9h04EF6eioRePkZI8FFr/K57YRgcCIV4xTr/ZUjYdJq1zWLkfv3qmQ+V6t7AWtavd18m3nUv/fv3DryWlgixd96bccizrsKGixa9Ra9efSgK9u/fx6ibh/lmdQ3o359pM2aTmGgb8wtanM+vBQWu+zcWeRZbtU1l5ux5EWRl6dL3GTLkKnbhLjux23HtCt4xFJdQlEf4SgnCnyksdHWU72CRxLg4qFs3oVR+Sysb9NyVDGreYm5XXOJTWVBaD1yXTm0p2PUNM5BCfBuQH+sQEuKI9SPoXe9n/MdgG0wQktUXMY7/Q4zAHOStW9WU8e5/GMlY+gIhKjWJFI46z5GEEJXpiEFtiPRycv5YV7fO+R/cWTJjrO0OOrZVBnAutleiKORCEQln4TsnuVyMZKeZRBqTMxDipdLHlcetARJmrIqIjp37NETCG5twG91M63pOR8iJM8OqEfAX3C0HevlcnzLqU63tDyAVoJ1era74i2rHYjdB9bu/h4jUVJ2O6J9cxtswMBISMA8fdhk0df/V8Z9AvE1e8pVUO5FjBw/wLP4EWh1PpbqrsI7z2h+1jCdIJeFpzjYOCFnbQ+T97IN4VO9xGN+iws97kdq2HVOenEa/fumu3wPnC43f/Xv//RW+obVY+8UhNaBeBBINg+mhkC+hOBEQ61pyctbTuHETbbxLCE18SoaiEh8j5hYax4UhQ68P94dahhinDIT0QHB5//o+6wsQHYIqYNjA8akMQAoSPnkM8aKoascjcAhJPfsrvYg6p4kQoQWIx+E67BYFbZBwzX7Eq2QixmsbYoyzsMNzVREi9Yx1jPoIKUuxjuXcNgdJV1Zhn/oImVEaliykr1dba/0c7HYeKnsJhJjcjJT2bw78yRpjKpK6DaKjWYKQwhHWddS3xjgNMdR/RozrQ0h1aqX5WQI8iZAY5xweRkjFLIQU9HTM2wakzsx+RA8y3zpWUEiqFTY5/i2im1L9x/6AfwsJtX0ICds5x1aIkJyXEeJUCyFjP2NrlcLHCYXIP3CAewoLXfdshOP4zyLhp6XWPVBZbU8AhQcPhJ+vttZcxln7bEWe7wEIwV2LkMMs7JDXeGBaYSEfLl/KHXffF9HG4QC2ILtt23ZMn/48qW3bAfL/6xagQwlCO37tG3Z9uYnHH304YttY2VObNm1k6dL3I9paNG7clG5d0hhtHV9d+xjkRcJEXkxCwHSrI3v4ubTmJFqrjPJEUTLINDROVBx3VpdGdCxf+gEhhAQcxSYocUivIj9dSCryI97Ss/4K5MfSmVo8Gzsl2UCMnDejpwXwNra35SxEX/JHJPQVAt7E7nbt9H6oJpDhHzRscvZ36zPX+vRmuOQib/A9sWrwGFKZWmGBAQNCbp2Dqhr9H2tcSn9kIMZvmzU/f3TMsdMjstP69HaYz0RqIYEY/Hutv6dY/5THSV1nlvWptquGzOMIz/lUGO+o9T3IEHyCkA51+QZCgpxZPM6MKtVTTFW9/tr6vD/GeWrVqMF/jxxhSmEhv0E8U1OwvUtpCNHbEeM49fCvm+Tdpykyt6om1Qxrn/eR8GM8os1KxO3d6YN/I17nGPLz90ZkHQERIZzBg4eEtTcQR7du3YulMYlV/2bbtm0kJ58Z3j5W9tTtt2eGl3lDVC/NX0j3ru3JcGR1tUQqiw/A/r8UjVCcCAJiXQBR42SG9viUIfLytpG9NhsTcV8vQbwl8xBj2Qvb4Du9L68g+pTN2OmsDZAfRfWG3hN5w56BHW4IEfkGP8PaTzXGnI7dyuAF7AfgI2tb11smdrNS9YM2yXG+JZ7r9f5Yqzo/qxDSk5PgbgKakyBNQMH+YZ+EhMi83qME6+8fsUmN8425umf7GojA2nktq5DWCOMQoayfx2mlNSe7POtPx/ZYpCK1bbIQb4xqMaKu1Qk1bw9it2RQ15OJ+81feT2aOvZbtOgt1uSs59VXX+df76/gvOYtIs6zFfH4AFx2+ZW06HQhExGv4hRreSFyH8ci4T2FoPHuAX6PFM9U8zAlxj5NsO/jMYR0Xowt/FbX+i6wKz6els2l3vad2E1TncdTxrNRoyb07XtxOPtI/a2wb18B9949kdtvz+T228cWqSmoE7G8F9u3R3pu+vXuS2Z8vOv+jSXyOfQ2/UxKSubjnA1062I3Ut0MdEBebOYY8h8iaI5PFEIRNAfj4uNLpYGqhkZZQmt8AlAasVUlZoToYlSQN/sWSEjFGzefiq17CdIEpSBv6EHrFyOGSH1XadOjEW2KGWXfCYg35wDiNVEGwUBchkqs6hfvvwEJrRxEyI6zUnRWltQR2opdJfh8RF8TTf/yMG69URxCLO5zbD8FEWyrhpjqWv4PCX8FHb8Wdk+pQA0KtmDcKUY3ECLkFVB3RUJgzvvgFbGDLSD+HCFz1VJS+HLLN65t1q//lAGX9CHRGsff8H+uDORZ+hzRBDnXT7L+pSL3XImPlceRmrX46cfDHPWZp2TkWfFqiKpjN6HNQO6pmjs/bVa9lJSIWjbq2scVU88SS2QbC7H0Klu3bqWg4BA7d9op204xtIKBCNFH+hwjJ2d9BBnIzV3PHRPGkbvx8/Cyfr37cvTYMb5Ys9qlbSrunJQH/ObA6eHSOpWSQ89dyaDFzceJ0szqMnCLURcjBtH55l0F0YE8hhCJIPFy0I/zM9geBN8fb8QQBX0nyr5gE7cJ2KnvrZDmmiqE582AGoMtYDYRT099B7PavRsaNJBjzkG8Um2QFgTRCFy+Na6zkBCBwgBkjsfiDs84BdDDERIXdPyIjB7cWUfO829F2mQ4xeiqv5h3/3dxz7s6X2uEsP2fZ79UxFPnNZjXDh7IquVLicPOrPI2P22AhPyqIZ4ep7B8NOL1Og1pr3A+bvFxvZQUmjZrQW7OGn7yzJPKKkz17KO+T0FE2T8j3kSv0X5k8hR27tzBjGlPsvmTdb7i6RDFy2CKRVoWLXqTb7/djQqBBXkiFHnyko023bpTs8bpLF5i+zed41NhuO+//57bbx8b+Fy9+urr9O17se+5vRlYsQjFiYagDDJtvEsOPXclQ1GJj9b4lCEaN25KzdNO58dffg6LUUH0NjUQA+z84b8DMVQGkW0daiDp307Nz0IkFbw1Vr8vgjVDp2GHhTo5ju303vjt28E6z1qE+MxGSNAw7MJrudZ2uZ5xV7fGdxoSzgjqDaY0PMoTAcHaAaf+5RCRmqRuEPZUODOelmJ3Pg86voE/kRiKpEh7z78dIUFOKO/HZ9a1DEZITyZ2GMt5PZsQIfZohPg8gmQmKUK1c+cOTNMMdwz/cPlSHrLm7AjBbT5Us8wI3Yq1/hNrfE6C2KFdKpOf+D/69+8dURwRpNo4yPP7i3X9TRxjnQikX5QOpknGajtYo+rIJCUlY5omH+cE17LxS0GPViBPhalUKE/NbzvEE3jNoIHuhqMXpTNn7isRBCKo/s3Ro0fJ+fBD93O2ym76qcJveXnbgJJpXrwFBE+2isrHWwBRQ6O8oYlPGSIvbxs//iJ9zJR+IFZ1XXCHcO5CRLC5iNehmrWd0zOxCdHThBAtipd85OL2ZqiO5s6CayDGzLtvTdxVfHtgF9RzjrmPdW2HHfufh01kDCOyN9i4MdDZgKkhIVvnW9s2wKdHETZxUCLYBwLmcGrA8gxExF2FyKKPtxK9i/rHPuf/Egk3VUfIVpw17scRsuosGFgdW5yurkd50WYjui8DIZDOc0x/+knWeHo63Y+NIF1KYYz1r+EoqmgYtO3chbf+uYSlS98HhLAt98zTJmtfZdydYUCAu+++jz/9Sa7Yz2jv21fArZbeJWhcjz4yidTU9iQlJfummHfvmsaLrywMr5/+9JOAnSWpPGzXI/9XVO0mRVrGfLSSGzOuYext411j8yMbpmlGeJOcoueybvqpCYWGRtlAi5vLEOptFGyxonprDvrhn4gtjExE9BGbHdv9inTy9op/k7A9O9WQtG6wO1Yrb4Zzn2zEANdAjP5cbGK2FQlXfIQtuv4rbhGqGjMI2TgfqTujsNU6r4F0oz9k9QZr0EA+ux6CJSEZD9gtA4JS9h/DFpEaRLZScGYk+S3vjWgw9lv/nMdXLRWC7ksdx/kVCZyI6J4utI5bCxFf34Ktu1Gi56PWcnW+ro7xT8UuSVDTcY6kWgls+XRd+J61RO6hIlMQLIKNj7FenXMi0DW9Ny/NXwi4s3WyrHGqebrDOu5Y3KLsTGs+fve7geHz+ImQR98ynJ2bvog6rq1fbGTw1b9j6dL3GXbDkIgU80052XTv2p79+/cx+pbhrvlRIvXuCNk/QmTa/3Rgzdpshgy5ylcE7Rx3cVO2n3t+XkT6fUlS6zU0NMoW2uNThlBGJAnbg5ForQtyifdD3qwvRH6kb7D2UWGx1wjoII380KoQxY2It2WLY1mQN6O6tawnYiDUm/xp1udwpBLy48A1PmMGMaR/xy2kBUnjNxGPRs+QdLi+H/EGzQoJkRqHkLZHEAOaihgw1W/pOetcba1jXmidJ2gO9+CGWj4Ru1FnyLFshDXG5lGOucNx/nSEUM4A/oWIp0EIpPKAPWJ9noG7cOTN2JWTM5GQzFBr+3hsoxoHmIcPhe/zVoQAZyF1dabg30B2DEKQVJkDv/XtrcrCO3fuID4+nsLCQgoK8klKSo7wXHi9QlWrViVn9SqXZ7Aq0KpVa6LBmTK+APn/kOuYC0UmfzJNNnyey7VDrsIk4DkvKGDQ1b8j9/PcqJ5TCCYtStzvDFt5oZt+amicmtDi5gCUlri5R1pHamJrYQzEUPgJgavhNtpKKOv8cX8PcecHiShfRshSDSR0FcIuMBi0z8VI9lM0YbTKupqC3ehSia5BQjTrCa4ovIXIDCkFFYJTobW7rH8J2CJv1eeqI9JjLA1JKX/QMZ7R2IRGtXlYiBQhrI8QhzuQMgCqrpJzTi7D3WJBXeNha1wjcRvqjoh2yDufqraPQiOEOF3QoiVfbrH9d85wZWvkHjkF7wbyzLTBfd9rIsLyn7GfK4V4bJ3YVOBD3DoeAyQt/rzzA/ssAYHiWu86rxg8SISrMhw3IkUKP/CMKR6516ru0i3IvAc9swqx1hdV7O+XdQX+omf13Pc5gQXHJwK0QLfk0HNXMujKzScAsrM/phDxWGxA6t6EEMKTRmT9nl9wh6KUpsL51urscu2EegtV4aI6CAGZip355NynAFvf8771ORx3fRynrsYZilNj7ogQjATE+IYIrijs9A6pY1VHvBfvYIfWCpAKzSHEw6LmaKI1D/OQ+kc5SAXqiUiI7Xokg+yw9e96a/kd1vfNyMM+zbomFQp0zkkW7tBahrVdIVKXZqo1dnW/BuOGusaaiH5GSXRVQOSss84mKSEh7El7Ajus2AAhq877n2BdB7jvewZCkPxIT8tWF5CTs54+vfvysGEwxBrXBKQNQp/efUlN7eBbqfizlcu56fprwp6LHKt+UE7Oeha89iZJScmude3bppJkGFHr1igo78n1iPDbe51NEWKpnhulYwp6zomxPh15vrxhubG4ReZBYSuFmbPn0bVfP9czoZ77oGutjMjL2+ZbrVpD40SEDnWVAxRxUYLToI7Tt+B223+HGG6nq70ZEuLwE/+mYodMVJ8osAvuOfe5gsjO8GNw11txVtN1GhxvjRtniMcp4s4jsvmi81iPWMdqYh1LEYJj1uchJPvoBsRIXo54wX71jHs0QhqdWXLDreN5m4CGkIy0q4isjL3SOk86koXmzFgCIT71EK/cn5F7U8Oxr9K6zELCObmecY5duZwLLuzKF5s28svhwwxCDH0swfud2Nl5yhOitlXP0JfWXG766ksOHDjA0aNHORAKuTxrvbpfxHPPzwuuVBwKkZGTzZWX9+el+QsjxLXLl3/I+vWf0rHjhdSvX58NG31CTT7CXxDxb1qXNLKjdCd3ZmVdg3j9nPfnXaRBqhPDrfkYgO2N6YOEZgcjHjnnHLTBfqYhdtZVUlIy//fMMyxu3jzyuQ+41sqEaB3ak5O1J0zjxIQmPmWIc845F7CJi/OtXWXFODN4fuvZ3+/HfyXiQThKZLioAHnLrQURXaNNRBTt3CfIABlI2K03YlRUOnY7pMDcWNy1XZyhjsVIurM3vPIddkbTWEQXMxgx1ttxVyv+qzWW0YihqWNtM8paHjRu1XOrM+IRmRuw3VVIOOoKJHTnnJMW1nkUGVP35iEkRKNQy9rOL2R3LgFEJhQiI2cN8+bNZ9iwjPBzEEvw/gRCukJA7Vq14PDh8LbqGWqNLXq+a+Kf2LlpY7hXlsKXX4qwOJZo9/N1OdyQcQ2ZVuZTXJzBby/t4yo4WLtWrajH8GutMOyPN5O9Nju4QjLudP8Qbs2OEug7Ca6XrBvIc5WMeDK3Idq0uUD7dqn8e9MXvGuFrRYCDxkG3Tp3iUpc8vLkDjmf+1jXWlng9Bx60/1fXRSpm9LQOBGgQ11liFAohIFdWPB0bG+NX1bMO8gPtYL68T+HyIaYZyBF/+5R57I+nbVdnOEmE/FQgBAECDZaJuJBmYiIkDOQLChVX3YVQrIuQwTBKpU4xboWZ5sDFcp40DH+nx3XB+5MpjOAa3G32/gIKYynQt3RDCfEJhLqGh+3/n4I0RDVRbRIgxHPmqqv45dBNgB7zmtbn+q7amgadP5HHrqfbl3SwuX+a1jLo2VgJRoG3bumseSDlVG3BdiwMZfzQ6GIthu/FhRw0/XXuES7fseIN02yHZlP6d07caSgwHWs0OHDUY/h50Fp3bqNa5+tiHZJ9Wf7EneYNRUwDCNMskJEPtvTsed9KnAJcDf2/6+1wJuGQb/efXntb/8IZ12djxUGDYVYszY7aouLxo0bF/taKwOU5/AZR0Pb67Abqubl6bCXxokJTXzKEOef35AQbt1ILiKsdRKZasiP9xTE4PZFtDZKY/Mldp+keOy2DiOAyYjhnIptyJ1vpeDugwV25lXQD3kCkpaeik02TMSb1AohKH2xhddhY4iEqbw6nxnWugwkvPUIIm69FXkAlW6mGkKavOMG+I3j76Bxq3fuWDookHDI89a1/gWZx5DnelQxglCUY12IuE2d++21ritIU7Xjm52sWZtNfGIiGYhmySCSEKv7Px7pmv5xTjYT/jTGd9sx1jhUp/JchPB678PHOdnExcX5dgkfh2Qgxnmup/qxYzTyHGumtd0tcXFMpWi9mlTG2BjDoD1CmgcgBPs03Pqx/dY1VE1K4qBFsiA6mR1EZAp+BnBm02YMvjaDgoJ8Frz2Jt27ppFYRG0SQLNmzXRfKh/oDu0aJys08SlDNG7clCYNG7MT2wuwEulJBJKBlY5daTgsMkXc912xQy39sbuvq5+T2ggh+Ql5e73TWp6OeGPU+6sy0v+1PlOtY43B39A+i3hZlAZIjasGYtR/xN+wqrdvL/FqZ51vPtLtXHUcP4ydzQXStqGhY7+Fjr+VaDuVyOaeKiNurbVsnXVMP89aH+vvXKSJ6QzES+Z3PTMQwXS6zzlvRUJa6wL2CyF6HLVPX898TgF+3r+fDu1SefXV13nokccjahc573+6NWdfrVvLTERg6xXHFwLDR9wanrNoBummP94ccb7WCOEIanSrvJEFSNNdEzhsmmGBeQbR69bk5W1j8LUZxCUk+D5b6YgIG2DqU9Pp3jWNwgMHyEIy+SA6mV2FhLjeRbxJ6lhffb2FESNupGvXDvzu8v58nJPN9FDI10sRJM6dOVvX6PEilucwyBOmhdAaFQ1NfMoYrdq05RB2q4Td2B6JH5AfiSDD+TR2scDrcRcgTMV+M+9DZEHDbETLogiNyjCaiBhgEzHqfoZWGciRRIbMfsDONAoyrO94lnvHrsJf6nynYdVUsb5/gYSZVGjOQEJlhjV2b+aV8gc4l5lEFkFMQ0Sv12F3nneKr4OuR5FQdawbrHN+a62fh00ynfv9iNvTdx8ibL8FuQ+HQyHWf57LjGlP0rnzhYQc1zwVd7HIhVhZc6EQIxHRrtO4P4EQ4XlzZpFmdf4OMkjTn36SBg3OI2SdR2WW3RVjHpSZykCyFJ33U4XiVPaXE/v2FXDt4IGkpXVkxIgb2XfgAA0Rkh0mHtb4Lg/vJa0tVBgl3drem6WlvC5ej8xaJEvQ2y39i0/WRr3GIC9FtEy3yopYHdobN3Z7wpzPQVABSQ2N8oAmPmWM3r37hg1MG8QLsQ4JJanQU9CP8Gzkx2QKYjjVm/jPju+dkSrBfmnky4isEjwCIVYmtudpImL4lKFVBtIrtlbjamZ9BhnW2djGyTt2J7nLQcIdMxBvhRJft8PtHZmJXZOoI27BblfsbDknVC2dMx1j86s6/U/HPkHXswvJ1JqCeJa8JG4DUoTQu1+njp3C3iwQktICd+0fgE9zsnn04Un0692XF+LjSUVaYTiNyUOG/FctxPa8NEXIIkgIcgai73nw4cnUS0nxDWWlAls+XceUxx6hX+++PBofTz5CPjfFmIcvrb8X4/O8WaE4v7d4v9T5XZ45i7wfUvPa+X8jCyHEfl4Xv6rJB4l8qbg/FIp6jbH0On4VqSszilOt2u850CUBNCoCVSp6AKc6rrvueu6aeBsPHztGBlLTJwP5WVeT70xXB7eodapjuTICudZnW8d+QeTpceBs3DV5nHVkDISotLWWq6wrAzGYYKemf2l9j7eOlUlkSn034Cvc2U7RxncrUvFZnQfrmMojkIx4ng4g3pBhCAlRDTLXIgQqDXfY41frOCq8txs31LZzrPN8h3+T1tOqVGHisWOuNhGP4p8ttgq7uGH3rmlUqVqN04lMs6+KzN1vrXGNBT5avYp/vb+CJ4APly+NaFRb3TAgFIroSRUWJGOLfPPz95L16huMumU4GQ4PRrhTvJWG/b51PmdjzjqJiWQePuzuN2XEc5oRx8Rjx8LbFTWbKzB1HncKe/h+GAb90nuTltYNcP/fSAZuQgj9U09Nj+i2rqomr1mzms2bv2LOnFlc6hmnypQcaxiYoVCp9NSqzChqterA50CXBNCoAGjiUw5YvGQFF/ftwQzr+50IIXkRMbwq3dxpcFVqNNiVf18DLsAmQ9djC3CDyJPS/Xhr8ihiM9M6rtPIxiMPxmjrXLmedZMQA1Tg2e8MYI3jexskbBVtfJ9iZ/VMRTxTq7C7or9rrXOm9s/APVfVrfVHEBIEthi7AULagua4JSI6visujiPx8WQ4jHsq8E0oRJuOndj29dfsPyx1qicgxjcLMcbK6KtPA7jkst9x3313uX7omyJ6riOI92gKcl8mY/X3WraU4SNvZeStYyksPEZ8fBUKC48x+ZEH+feXX7gIlNIr7UQ8Zf0dczvmluHkHzgQ/t4OCft08owzP39vhNFKSakT2aU8Xd7gc3M38MEH7zFnzvNFbuMQSwCbjbsJbuf03uFqyNGafg4degNe7NtXwL13T3TVlLkCuVfK06cyJVtd2IWMHFtKrzrIa5QMsRqqFkUIrYmPRnlBE59yQI0ap4fDMQYS9gH5ERiAGHjX2z1CSFT5/luBKgZMDNnb1DYgNyTGdwH+PZnaIsQjARiCXZNHFfJT4QpVTHE2Qj4KEc/U/YhhnYJkVe0BHka0M4rEqZBSVSILC2Zikyg/4qFackxCSIaqk9MZ8exMxe0RCGHrdhQM7Jo/KgSlzj8WIT0h7BCJQjskPT/H+teqWXO++noLU5GwURPrvFmhEDd89mnEsZ3EzOk92o+EDmvWrAm4f+jHWGN81nOcQ9Z1PPbYw+FtVRG4/Py9bPzyi6g1l5xjuwLYaQmCnfMwCZtEekmKMlp5edv47LNPeGTyFB6BiDf4Xr360KtXH3Zu317kLuSx+l0p+tK+bSqPT32a1NQO4W2ee35eJAmLQlD8asqMRgji255xxvJS5OVt45tvdtKwYSPq1m3ve76ygvPcpwoZKG7fMw2NsoQmPuUA9bZTA8nAao0YW/Uj8C5i4B9DhLJzcRu5qQbsTIBnn4WePWHVKhg7GoxD0vjTjzwZCHn4E+JhcK5TN91plJVeRHmTmgP/QwiJM8yTiniAVmJXhz6EeDIUkVLjVsa5PdLHyzu+TtY8/IzojZQHyVn88GqE+N2J7QVrB3xtbdsDEVP/jeAmrOAfIstAQk9zgT/ePJrbbx8brqasUB93/Rjvsaci6fB9kFDh5Ph40jpdiCoEoO7xVqQKtR+BuQEfQmRpHwZc/jsg+E3ZObat2NWio4XivCQlWvVdP/FucQiJt+mpkyh173whY8aNDzTwxWn6GSukpkTsznH6eSn85mJA//5MmzGbxMSyFTIX9z6cTIj2HOgQo0Z5Q4ubywHnn98w3IgR4A/IxDszVNZip287jdw6xLPz7LNw3XVQv758PjMDQiHpdu6XwhtCUtJNJJzjhNL4vIYUkFNiWadG5l1rjE4xqvo0kIwlZwaad9xgG+feSGHAOda/KdY+L2F3b9+I1SzSc75vkKyqg9Y+BuKp+cU61k0I6Yl2/tYIqVtr/b0WW+j7ppWBcs455wAyn2AX15sf49gTrbEpIXl8YiLZa7O5/fZMV8mAnIDjeImVN716y5YtQPQ0bnXMPJ9zOCtrpxMpPs3L28Y1V1/J+pXLiyw6LW6GU5AA9sVXFhZJKFwUQXGsUMqdd95TpEwsPwFuzocfcuvIshfgnuri3+IIoTU0yhLa41NOCCGhozuQtOYQYoSdXpA469PpDh5tffb0/KKnW7/oDyDamnTEoM9DvA/LgDeQG+wMV/2A9JmqQqQnZwfSi+oAEuoKYWfFgPsNWj046Y5jBLmxZyJht/7WskcQAvOTte4f1nUeINhbAdImIp7IUNFvEGIVdP7JyJx7PU4FQOvmLTlw6CCDB/8eEOL4CBKycm77HhIS9B67VYuWzHvpr+zcuYP/m/o4Wz/7JBxq+RviqXKe1ztGlfofZLBN067+7RWSKw+YOqazcOOlQIYBix3h0VatWvL00zNJTe0QTi1W3oVoolPTNH1DL7F0HQrF8dyUFLFCKQMHXoVpmixd+v4JKcCtDOLf8ngONDSKgpOG+PTp04f//Oc/rmXjx49n5EgxR99++y19+/aN2O+1114jNTW1PIYYCPU2moXdDgIkRJSIGNR2SLgqFdvI1UfEvyDhrescv+grrV90VStGoTNiHJchBEeRGCfJMazzTsethfgR8c78A7tRaJBBPoZ4E+ZY31Pxb5zaAXnIvKRD2eNLgX5Imnq086mQVBAx8ms4qgSzqjZM546d+fnnn9n0lUrchk1fbXK5PZVmyKsTycTdkHQMQsL+NP5OGjVqgmmarLNIjxrfUiSE9WeEUD5OZNPNada2QQb7//2//syZMyv8hqyQihC3bl3SyPx0XTh8kGqdo6EBuxIgyxEezczcyhNPPMyCBW+GvQsTEVIcmHV36zA2bMgNL+/Xry/PPVey0Es0onS8upZooZT0tO4Rome/EFJFCnArk/i3qIRZQ6OscFKFujIzM1m9enX439ChQyO2eemll1zbXHDBBRUwUjdUqMsZLmqBXd/mCcToDcBdoK+XtX8fAzJHQ1YW7N4tn2PGiHFriPQAU9LATxAhazxwJVLEMIRdqO5h3MJmZ12dQoT0gE1MgkIsDyE6IKUJ2ktkwcCOSIPRdY7946xjt3AcfywijAZb+A1CrJ6x/u5qfQYZhrE+5/8Fu41DTs56EmvX5ruvN9MGKfaXhbv44wr8w04zsHVS6tg/W9u2adMWgOzsj13jUx3XpyOi7euRGjVxjuOMRshUKv7VqLt3TaNXr76kX5TONwhBedn6/AZIvyidl+YvdIUPcgEjMZHcEDzjCY9Om1bIhx8uZcWKpeEeS3903AcnVgKGAf/+90aysmDXLnnu1q9fwahRpRd6Kc2idkGhFKBIIaSSViIuDVTkuTU0KhtOGo8PSKZMvXr1om6TlJQUc5uKgJNsgFQiHozbkD+AFBjM9ew7OASnHYIMxyu/YcANIdHJ/Ark4/ZSjEEI0BCE3T6MGPBq1v5BBOJlpJDdFIQU+GWLGcBmz/lusbarjWhepiJepxwivSeHkNBUvLXfz9hFCB9HPFStDch2hGmyLDdRkGfkR1lNLYRULcAWMD8xdRqmafLh8qVMQbxfWYh3bKj196XYKeGxvE7vI8Jvb60irGvsjL9eS9VHUplzdyIky0+cXrtmTV58RY4yZ+4r3JhxDRPXOtKvHR4Lb/hg584dDBlyVWB49LPPPgmPrT7+NZnGxMURCpk880wo7Gm87jowzUIyMkov9BKtu/eC194s1rH85sI0TdLSOhYphFSRAlwt/tXQKD+cVB6fOXPm0KVLF6688kpeeOEFjjlqrijceuutpKWlMWTIEJYuXepzlKIhLq70/vm5sVOtz1XYnc4vxO6ADmIM6yK6oCEh+SGcgBj3uJB4Q1ojRtSva/Vi4GbcaeCqrk/Qm2UahL0Ag4ls+HgIt1ekJkIyDmO3waiGaGoWE9yOY6q178/W9SiPy0TgiAFfJeDyNHyRAEmGfyPPVETHMwDRDKnwoCIsy5Yt5a233gDcQmwlBi5EwmFq7oPm5nrr8xjuEERcHHTr1p04hBw1x67KrY6lPEDPIB6gNo5xOMXpL1vL77znfpKTk9m/v4BRNw9jjYP0dOuSxszZ80hOTg4/Y40bN6Ffv4tp3LgJDRta3gPPhajwaMeOnV1jewDRBznvc53z5BhB5Eld9/H827EjenfvHTu2l+i4zrkoSgjJua9fT66u/foxa868Uv1N8PsX1A9s5uyyP3dZ/YOKH8PJ+k/PXcnnLSbMkwTz5s0zc3JyzM2bN5sLFiwwO3XqZD766KPh9fn5+ea8efPM3Nxc8/PPPzenTJliNm/e3Pzwww8rcNSCf/3rXyZgZoFpOv6lgplofaZY6zda33H8q+75XhvMuWBuBXOxtWyX59i7PPvEgfmQtX1H67zzre3mg5kM5gDH/n0c26wEc4L1vbPnfANijL0PmAU+41oM5kTr71nWcZz7ZWVhmqb9b/58WZ7g2c6wPgdY53EefyaYhuHevoFhnzPdZ55bW9fjnJsU6/jzre22Ov/eujV8n3+TkmImWnOxy3F/54P5smfevlbX6blv8x3jGdC/v/n/+vQxU+Ljw8fMAjMlPt7s2aOHuXjxYtf5nRgwoL+ZkhJvzp+PuWuXzF9KSrw5YEB/0zRNM71HDzPB537VtD6XLFkS9T44z/v1119HHUvQ+sWLF0d9dhcvXlzy/3SOc0eb56Axb926Neo1lSUq8twaGpUBFRrqmjp1KnPmzIm6zeLFi2ncuDE33XRTeFmLFi2oWrUqkyZNYvz48VSrVo2UlBTXNm3btuWHH35g7ty5vqLnWMjPP4RpFns3X+ze/T0GkeLbndb3XGzR7mXYOgRneEhpYJojmVnVkLT05dbyoBCQgomE155AdCV+hQCPIs02k5EKyis823RAPD0XYod0FscY+1gkhPRX3K0JmgAfWn8vcsxBIVLXJsjT0ABpnTEWWz8zwjo22EX63gDmG5DgqX80ejTEH4LMkMyDd6xnQYSQWFV3Ho2I0P+B1Ovp17MXyclnsnfvIfLytvFDQYErpLIMCRf6ZXU1w2666XwmMq19hgGZH3zA/lCIVxzHvBRoUFjIqtWrWTVgACBhr5mz3ULdadNmc+utw8jIcAh6+/Vi2rTZ7N17iBde/CttWjZm57FjEc9avZQUOnRIo1+/vmRmrsA0C0lPF4/RuHHx9Osn171t278ZdXNk3Rk1ln37CqKuT0k5wzUnCuoZSUmRuT0epKScRVqXNG75ZC3fh0IMxh1CUvfPi+TkM+nc+czwG2Rp/h7Egjo3cNzXX5GIi4M6dRLKde5OFei5KxnUvMVChRKfYcOGMXDgwKjb1K9f33d5u3btOHbsGN9++y2NGvkL/9q1a8eaNWt818WCejUsDbz4wmziEbFtUHZTT+xwiDKeW4EU4F4kBFQLyRI6zec4fgbUQPQuX1nbFSJhs5pIevlOJKPM2TPqKqQ2zgTgfEQblIuEkA4g2h6VQTXCOu65SHaXc+zgzrpqhtUCArtnmKprtMyx3xJrWVAW23YgzhrrR0T2GVMapLnI5M57Fo9GRbRShUjqv99YtwJPI+0UbrCueZQcjs+tf/USE5n8xP+Fn5GdOyNDKslIxeAGSB2Z1SuXk/mJnYF1BZL55byXqrVIMmCGQmTgLqiYQSS5zFy5nFtHujUxoZAZ2b210H6u9+7dyy/HjvGCYw46I/d0akEBeXnbee65eYwaFUmenntuHqYJo2721+eoscRa36hRbF1LtP+DsTLBVEHAbCtMOBEJ9YawCxkW9f94af4eVDbouSs59NyVDSqU+KSkpJCSklKifTdv3oxhGNSpUyfqNhUtdM7L2xbWZ2QhHpvrEWPqfJ5XISQHxJBfhruCsQHciN0qwokQkS0Z+iDeoO+J9B6dRWSFX7AN/wrrmIexs82mIkLkG6xtT7eWGdjZZxC90N9shLQ8Zp17NkJ+Cj3XbBjimTFNwp6GsWNk+RGLKf4O+I81Dud1q3YfpxHdcxRtrNsRz8pa63sb4Fvc6f+ZBw5w9x1/CpONotSRGT785siKx7370qvv/+Pee+9ipWdMajzv4E+MsT7NUIiM5UvJzV0fbvkQSzTs1L4UEFkx+9aRw3jt9X+wYIF/3ZVYdWdU5lgsUXFx21JA0Ssc+83BWMOg1YVdii2c1tDQOHVwUmR1bdiwgc8//5yuXbtSs2ZNNmzYwOTJk7niiitITEwE4M0336Rq1aq0bCl1ij/44APeeOMNHnnkkYocetjAgBj3uxDSA0I0UpEMp9FIvRcQYqTe6s9FwjdO0a7TU6SQjDQ9PQMJI72FeFKC2kiAv+E38O8npWoPvYyQlUyEdChh9bkIAQoy/COs68+wPoFwny/vNbcNwfWeLLbqBswM2f3LRltj/QDxEt1njXEutrcMgj1HRBlrTeyU8guQfmexDHhRs3L8Crjl5W3j3nvvCuwgP9swaBsKxayQfcvIm1iw8I1wBlu0MTuJ2gIis+8yN20MkyS/uiuxRMPOzDEFZxVpVZcmqKid6hvm580pSiZYIDELhcjIyT4lCgJqaGiUDCcF8alWrRqLFy9mxowZ/Prrr5x77rnceOONLk0PwHPPPcd3331HfHw8jRo14v/+7/+45JJLKmjUAmVgwG3cnWngvyD1eO5AyEAu0ldqAe63cFUP5zTEW3IeEqY6gGha3kAK5d2FZOpAsGGCSMO/kOh9qUCyvpoC31njdRoWP83KOOzQlmqVARK2a4JUi/6ZSA/UhpB4lFThxbkh/zEpEtXIOpa63mbAAEPqHzk9R2PGQKoBKaHIsap0czVH8YieCKJnBSkDWlTvhZdING7cNFCHkt6tB1WrVHEdM4iw7fhmJ127diC1bbuYY+7b92L69e7L6JXLORAKBXqRgghCLA+XM3PsUiI9SjOmPUnHjp3DHho1J96K0uD25hS1wnFRsrnMgIrUGhoapzbiTFNHEP2wd2/picquHTyQlcuXchTbuPuFFzoDZyPi2T4IGbibyM7oIYRMrEVSq53emdFIiCrOWucNZ2Vhd/VOQioHK8N/q7XvLty6kt2ITqUTUiARpKnoDZ5t9yEaoWWea3rO2ledGwjX00lCiM+RKOclyroHkVpF3yEeJ+f17kOKP+Y63GOpBiyzvg/FPf8DrOPtQUTT32Hrq4LmMSdnfYTRLE5Jfr+wjfLoOTu0Z2eLVu2F55/jP19vZgbu2koNET3RKmC0YUSQGb8x79+/j0FXXUHuxs8D5/fVV1+nb9+Lfcd+7eCBrF+1gmkeD1eHntL9XK1vUFjILiSVP+yhcWznd8xnCgt9t1269H2GDLmKFUjLkyYIqfaONy9vW0T9HuccdOuS5ioRENQMNC4O6tZNKNXfg8oCPXclh567kkHNWyycVHV8TlY89/w8qlSvDthvoBnY4YWNSMjrE+zKycuQH/KJCMGYgBi3EGKc30eKFvpVGS5ESE8SkXVvMpEigyHs7CX1ea517qA6NjMdy/7ns20yIowGwn3HPkHIT3vs8BQImQPpiaXqbwedN9q6IdiGT2XOqet9F9gVcjdpfTsk40y21q+0xlrLOtYZSAHHzcjcTsAu8OeqH2Q1N3USm7y8bSxd+j5AkZpvgn9jykTDoHvXNJ6dNZdRNw8jLa0jt98+lttvH0utWrU4iPu+NUSel/AzELL6exlGeMxTgFsNg25d0sLjSkpKZqbljQqa32gVg2M1nXzu+Xk073QhuUTWc3LW6nHOX6y6PsnJKWFd2QDEs+fUw6nxhkOP8fER961eSgpbPl0Xs5KzhobGqYmTItR1siM/fy8/HzkCxE4DPxe4BklZj8jeQYz7P5Ebd4zooaz91vbelPTnkbDbTtzNSx9BwjvetPsxiGh4C0IMVgJ/scYwxmfbeIRIeD1Rqroy1vkUMhB9UlBmWo2A86Qi4TOlxwkRmaafioTAlJ7IG5rZZS1v1akzGZ9+ghNqbrOIrKysQlh5edv44ouNvDR3dpE8CE7E0qHcdP2QsIEOPwO566mbksKv+/fTNxTi74inx3mWdGsuzmvdloyNubYmLBRizdpsrh08MDy2aNqkbp0uZOfOHQC+JC5W08mkpGQybxtP9pCrihQqLEp4au7smdRGCL6zDMFSJA0/JcVOdvALPXbrdCFr1mYXqZJzeeB4e5RpaGgUHzrUFYDSdDFmZb3E7bdnhsNXwxD9yi4kzNMc0fS8jTv0EuSmB9HXPBFjGycUUVK4CPgYt0g6CZssOZe3QnpufeRYprKxvNuq79HGlYpcexJCSrIQ0fQqJOSlUB2pX2QGnMfEFkd7r88pnK6OeBxeAzZYf4cNvGHQIb23y4DHx8czaNDAiGtQmqNFi96iXbvUiBBVKhIC3EhwKMcJFbaJFuIrSqgmWkhr/G2j+WrdWqaHQoFhpv379zHq5mGua6mXksKegoLw96IQOT/ECjk5Q4Wxtl206E3f+6LWJ8TF0aVXn4g592vnUdTQXlmFHIqamXYyQ4drSg49dyWDDnWdQPjhB/FvDEYad6rGnquw2yYswg59tbOWRfPmjEG8L95QlvK4VPHc2XhD2lsoL9JG7HCUwmGkYecrCClQtYO2YJOeKshDo9pMfGNdTy2kvUWszKM61j4NENKjPEx/ALp79ilEQmQPIhqh2taYVlpjTDIMzju3PnGI50eRySyEVKkpmIvUK3odEWe7QjPpvcOhmUaNmtC378XUr9+A9m1TXaGiLKyihb370qtXH98Q1b8R70NQKMeLWI0po83j2NvGk5Oz3necKgxnmiYf52QzPRSKGmZSnpucnPW8+urrdOuSRuGBA6USCooWcvKGCmNtW1hYGHVObray2bxzru5ro0ZNTphmoH7Pjw63aWiUDzTxKScYiFB5D2LAqyEGf5O1fhniiWhK7J5Rat1fwdXtOwMJ9ZgG1Exw97qqkQBfGZJBdh2iC1HkRf3w1rSWX4cYlycQXY/T03KMyA7m463tcjzj8xt7PuKBybW+FyKE6xZsUbR6KEPAeqTv1TpEJP2ENbbrgEdDIXZ/txvTOsYE4BZDtB/PEEnCnLoegKeems6C194Mv2E7O4Vv2JjLfquAoFe/EqRFecY6di9s8qpCRQpKB7Rjx/awoR9DpA6rujUP0Qx0o0ZNeO31f9AhvbfvOIsSOnJCEYM1a7Mjru0uiyytWLGM4iKWFqio28YiLZcHXJcTxSFiZYWiaJk0NDTKDlrjUw74zW9+QwjxduRiZzS1wk5hNxED9Xtrnz4Ed0YHCZepNhYAVZFaNj2BXiFp0+BXsXglkW0ywJ0ivg27BUQ7/MNMbXFDGdOmiBfLO/ZxjuP8gnh3jiC1iQqROj9HkCannRBStxvJNKuLVNz1GvC/GZEtKTJHw9BDMMsxYD9dD0hjUSf86sOMNgwatm7DrNkvho2iX40a5xx8ht3QVHkQgkIbt4wex6DlSyOqN1+BkMHRhoEZCgXWBYoWqY6Vcu7n3fCSJW/24aBBV9K9axovvrKwyCGZWFogBaV3eWTyFB6BiG2TkpLp17svY1cud88JMmfqvsby2pSkaGJpoiiEVOt9NDTKDpr4lAPS0rpjIGJisDOa3kZIwLvAnxANiipSOBj/1hQPIMLi05CWC06BZw5CGiB6xWIVXgv64V2BVC9ughhwb0HD0dbyDY59lTEdjxhs9baukIoYUbDaIuB++OZgt2vYBtyPkKQpjmt/DwlZgRTDWxaCrACC95q1XWv8xdp+GVleoXFnYEQoxNSNn+OEH6HYal0DiIdqItCyeYvwPkFF9x7J30vIGtePuNOzARq2bkOG4/xeAx103BHDMqhatapvjzgveYp2bc7sw/D9z8mme9f2fJyzoVh6FL9CiFA8vctzz8/jxoxryHAIyfsgRDHadTlRVCJWVigJIdXQ0Cg9aOJTDmjcuCkdO3bik8+E1qiMplVIcbcPEMM+yVreBwmLTUM8Hf9ExM8tEUJ0P3aFYnB7a8apY6/yr1jcDLsVg/rh3YqQIVWsbyRuBHmGplrjcXqjbrE+dyLGvxB5yF5AyE8uEpJ4CgmteStED0WMvpdsjbHW10AMuCIZQQRvEuJJU6HEG7C9VgaQX1DA/v37woa1qC0c1Pbt26YydtNGDoVC/A137aL3rM/NX2+ha9cOpHVJIzsok8giNbvxN4KzZr8IRHo/IEbbiNWrSDQMZiIk0ElC21/Qhjvuvg8/OLO8vissDO6/VlDAjRnX8NY/l/gepzgoSiVmsAmSM3suDpn7ZRTfaxNExMoaRa3yraGhUTbQGp9yws23jgGE1ExGSEAm0Bd5o56J6DpAyERXxFilIwTjJ0TjEstbU4hULB47WrQ9u3fL5xir11U6El6rgoSR2iNZZQMQolIFSXffhV01OehcE7E9Oy2xicVfkTDcFITgPGGt24FdeNGrE7oOIXqLkRYR9yK9y5QmaToSClPaj7BA3CP4UATvCO5eaPEImVppnfuLzze4hKTOt/CB1qdTLP3vTRsZMSzDpQE6EAoxGgltObVSG5D/WCut7198sjbqPLZvmxpVc+INZymdkCpqGHTckaEQI5FU762IBgpgw8ZcLr64F9cOHsj+/fvwQuls7rC+Bx1/zdrs49ajFEfv4icIrs3J+SNWHN2ThoZG6eJk/M04KdG6dRvAJjW5SGXhXEQU28v63hghJkMQwzkB+XG/BAljqRsWJPCsCVwRgp+sXlcNGshnw0MQCtlk5hhCpnbiNtq1EO/ML8AfY5zrfcSbkI5b2Hwz0sfLeVwTIXZXAA9Z2wUZ1DhknM4CdUosXMUwqIGQqj4+BC9zjGSw1facvwYSSrrFcf1Ow9q4cVPSe/RkuHW9YbG0NY5poRArV6/ik5XLw8d9HH8Cp4TVZ1nf7w+Fos7j41Of9jWCjz7+VJhoDRlyFV27duCCFueHv99++9iox/2tY1lThGiDlA7IAj5dvpQRw6/HCxUKWrTozajHh+ji7aKgqALsIII0A5nrqZxcWVHeTLqcnPUuof2phOI+ExoaZQ0d6ioniGHtwR2rVzMDCWE9goS5emKHZMYjYR1naKI64inqi7j0/XQbY3H3meoTEsO8B9GNnBYSozrFcdxCgvtyNUMM/kU+51IFDf+HFB7ciK0BeY3IFg/O496CHc4I0jjUREJ7zhCYMs/HQiFaW+cgBIanmWlLA/aFgpuz7kZI0UFrnUtIGhfHaUgY0Rt+m2VtP9JKDQdpYArRu7w3RQpS3oV0BvcTKqemdvDVnKj2DS59TUEBqdjtKYYTWdwx0zAwQqHApqeq35oJZHy0MrBoX69efenWJY3Ra7MjhOqpCGmPJd6OVZemqHqXWASpFeIlqogihMeDigq3lQf27SvghqFXs3iJHQ491WoVaZyc0B6fcsSbb7/NL/Hx4RDWB9byVYinB+zqxlORsM8nCOG5AzukkouknTs9BN0QY6jQEanJcykSYhpuLb+TooWxGiFenH3Y1ZCdguULrb+XAfdgh6VikYE5iFH7f/jXIDIQkuENgeUCLZtL84m3kdDNYmBLSDRQqibR5lD089+CkJ4461+dOnUBeStd+dHKwPCbEks7vSixvG9NHN9DQMM27aKGNpz1ZqJ5OHKxQ4DTrOtxHrdttx4kJyVFzK/KflIZe+GQ1ZqPCcJL8xdSLSXFdfwGwDeG4RKIl7QujfK0eVP6xwLpF6WHjx8rlb0JkV4ijYrFqJuHk/Phh7pWkcYJB018yhF79uzhSGEhNR3LDORHfh3i1XkUeZt+FKl5cwYSBnOGVNogOhLlvXkfyQxT/aqw1jVDsr8GYJOsxxGh74XW9yBDsgMRWG9CvD5bkY7ww5Fu8KqgoYE7LKWIUdBx91vj/B4x3t4aRCGCSct1GTeEj+1Uvey3vt99932MG3d71POrWi81kVpKT0x+GIjtUXgwLg7DGnuBtfwShDz5EbhU3O00DGD95xto2bwFjzzyWMzQRqzxqKDBAGTOnnpqejhkUrVqVQoPHowgxw2s8XjnJBqSkpL5OGcD3bqkhZflAp0chR9Loy7Nz56x/gw4S9YG1t/BJnM6K+rEga5VpHEiQ4e6yhGrV6/GQLw6TvyITRgMxLAYuMNdEGkEByOk43vECNxGZDbUcJ9loxHBsW+qM0LAlmGn3V9vHduZ5VQFqa/zs8+xk/CvQRRvjVd5m7IQAnYtksKuOqEHhT2aNWshOpzVq1ytLdRDPNkiMVUCrstZ60WlnKsf4Vghl7YXdqVq1aqMWbMaQiH2W8tN7DCaQr2UFHILCsJtJ1ojxRM/QjK97r33LlYs/SCqyz/WeJp4vnfr1t3lKVKhxm1IeYKbkcrS7zrmJBN5Brz1jLxISkrmrX8uCUz/Pp66NHl521i5elX4WVBlFNYCGatXucJWfvV3UoHHcAjCdVbUCQFdq0jjRIb2+JQj7hw/ngTcotsExDOgEMImFQC3I/V6INiLcQNieI/gFtp29lmmwiWf4G7qqd60uwKDrOOqtPtXsGu5qHHXtNb7HXs/4pVyHvc8bG+DCkv1REjDp0TvhK48JoMGXcnGz3PDnpRdiOGr6TM2VQNJnT8Vq9aLdY7Bjnn84ovPue+eOyK6u6tzX9ipM2/9cwlz5s3HSEjA9JwvDtENgfTx+nLLN2Fh8FRrDF969lm/cnlUl3+Qh8PrTfJWHPYanKZI3aQeiJjdOSc/ARf16FlkA+QMxTlxPG0gnONtioRmm+IftnIKgufMeYluXdLIRYpp6qyoEwsnSmsQDQ0/aI9POWH58g/Zu39/oOjXwE4HP4Zdlfkp69Ova/oo7GahCvMQw55M7NT3Ktb+1ZHaPZcjhlmJVx9BKkKrtGy/cdcPOPadiJ4nGyFmYxCNkoFkWB1GfhRTPGPMIrITehL23Ow7dJBU6xr3EL0CdXtrvYld6+X/Wdu/6zj+S3Nns/mTdb41b6oDp592OgD5+XspsHpY+Z0vDigslFapqq9UJ4TQRewTCsUU4vp5OLzeJG/tmiBP0XVIU1onLrKEpseL46lLU5JifkoQ/Lvf/b7CihBqRIeuVaRxIkMTn3LCZ1bxQj8SYiAegxm4Q0ap2Nk7oxFNitco18IdahqLEId3sQXTgUYFaRh6GPFMqNo4BqJjcZKxIPL0jmedMxTTFLtYorMo4ixgAeLZucszxmRr7KoTemNEYD0FCb3tQfRPQxEyFW1s24D5CDl7B6lPVGgdPxOZvw5d0vg4xy4uONLab7Y1hkeAiVbIJZb73gTi4+W/lDLoimCVxOUfVGE4mrEPMjh3GgZtW7fhnnsfpLDwWKkThZK2gVDjHb1yObmhkE2+i2ggT+WsqJMdM2fPY9yYkWQ4s7q0V07jBIAmPuWEjh07AZEkZCFCLmbg70X4xfN9HmLE/46EsYIqOK9CDEh1/NPR0xHtRxY2mboKMfzHEOLyKnY16VVI6CwPW4MBQhDaeo6dilvYG494pzoh3p+eiMdmKJKt5qc1etRanmcdT+mCsL4vxlGlGv8K1A845qYndkhElQS4qEdPht4wjOy12S5iomreTMXWOe3cuSOmdwJsj48y6LNXLodQ6LjaE3iNeyxj7yUhBhAKhcjd+DmDBl0ZTikuTZS0DcS+fQUcPXaMA6FQmHwbwEVp3bWBPMmRlJTMu//6F2vXbtBeOY0TCnFmtC6HlRh79x6iNGcmLg5aNm3A0f37mYFt4G9GtBa7cIeNdiNajMWI7kF99yJovziESJyGhM1Cjm16A28g3hXncVdYY1Hemr5IeMS0jucUFFdH6sHUwC169obeUpEMsfYISWqOO+yzDSn495xnjGcD31nnTba2cdbW2Y/UEPo/hOw0xu74rsaxAdEaeedmxIhbGD58ZFgMnJbW0TUmsAnhFIR05eSsp1GjJlx5eX++XJvtuofjrOPmOrYD2L9/H6NuHsay5UtJAPc+8fF06NnL1ZKhtLFjx3ZuHTmMf2/ayDOhkD1/5XDuokLVKnqmsNAen2HQIb33CTG+uDioWzeh1H8Pygqq0euJQDJOtrk7kaDnrmRQ8xYLWtxcjnj8yScjxMQ/W+uKUgtGIc7xd9B+tRAy8AuiMVEC6qmIxyPZs72BpM2rtPQ21nZHELLircR8GnAUCSWpsA0I6WmJaGW2IuTjWes8IyFCQLwWd4q1ur7vrL9NZK4G4K6tE0K8R7mIh2qnZ3y1sIseeudGkR6IniadCkz2iIej1bXp1iWNnTt3hFN18/P3MnzkrbwwL4tGbVNLvT1BrIq4pmmyYWMuz1hFF0+0lOLAlOdQ6IQY38mEffsKIqp8B7Uk0dCo7NChrnJEjx49wsUJWyGk5jakl9JYIsNRqbhDRqmIGPhTpGhdKpFp4ypraQi24FalrlcDHkZqAznPU91ad4N17BzsStJxSO+sIEFvf8TjkoXbI/MydnaYIkafIT3J7sWtVaqGFD78wvpuWtf2ClIVWlVPVnoZdbzbrfP3R4TUfuNzNlIdS2RXdvDXpyidk1eToOra3JhxTbhZZi5QLymJNWuzWTPkKkBEyHsKCsL79evdl/ffX0F+/t7jfhsvapXkEz2l+EQfX1mjNL0zRW30qqGhoYlPuaJZs2b0692XR1etYFphIa2RFOsPkaKATjKQiBhUFYZKRUJFFyIkYwGwBqjj2W+Atf6w9f10xOuTiHhG4jzbqwrGR5BQjDqXIh0jkfBXkHH6lGBStM36e4617gHreFcjjUCVB6YVtqfGSZ7uQsiO83jOQnVnY4fVgsbnrBtkgG9Xcq8+JT6+SlQBsLeuzfSnn2TLp+uitpbIXLWCJ6BUjFBRjVxJMqbKEyf6+MoKJW3vEQRv7SasT/MkbOGhoVEe0KGucsbM2fOIT0wMhz1uQQjJA0ihu9ORUNEBz35vA3utv3siJKEbdsr6RCS09C4SxlLG40EkLLQPESrvQyo9P4gIi+MgorbQLoR0XGeNC6I3qvSSDqU5GoCEyVS2mGrBkYOQocet5bmIhsevVcQ2bBKTjVsw/TC2ZypofO8j3iesecjP30sQVJ2aXr36+Nar8dv+/PMbsmZtduzWEqUUXipORdzAMJ4nfFdRCKxVZBiktm1XoWMrS5S0vUcQitroVUNDQ6CJTzkjP38vewoKwp3PQbKNnkSM+BzgK4TEvAbh9harcKenq7Tvrdby2YhexlvK31mobwLyY7gPEUyvwr+7uJN0XEOkLsdZVFCNByQ0dBmiFQKpwpuK3cT0M6RAotIRveQYW7TWDN5CjZ1792XRG/+kQavWrqwwr0ZnAFK3x/mQx8fHl2qn6KK2ligtI1RcI/fc8/N8O7+fKBlT3vHdABywMtBORZ1KWbRy0MUCNTSKBx3qKmfs3CmGayjwAlK/ZwdSqfkAkRV345CGoaMRL0If3HqgtUhtm8P4h7yULuZ5RF+zCvsHUt38aEY7HyFHzT3HVzV+VK8qE8my2kDskNVKhKCMdhwnKNzxJVJL58JOnfjT+Ltc4aczzjiDLV9tohpwjmd8qditDFTNntopKQwaNDC8TWl0ii5ua4lYRsir+/B+L254KCkpmVcXvcm+ff/ls882nhDZPk44w4y+GWinmE6lLHRNulighkbxoIlPOaNhQzFc3yKZU18gRjrXWq8M2jqkt1MIW69zg/XdwG3kGyBi566I12gS4ul5F/HMJAL/IFJHM8raLxbpSEUI1jaEDH2JrZsxsdteQHS9j/px/9Gzrgr+tYYM6zwGMH7iRPr0uTic2qnenAEmA+Otc2xAwnO5iCcNa//E2rUptKoul6ZRDTI6vq0lohghP92Hn0D6uefnlcjINW3alOTkM0slNbYsUqZVBtqprlMpK11TSQtIamhURuhQVznDqWtQhvltJGTVGfFOTEFCTDWwNTdTrO9Noxz7JsSoT8Td8fz3SOjKq6N5FnkAMvEPY01ESMoO7BT2fKS4YHVs1hxCmqFC0UJWTTzrbiGyZ1gqUkBxinX89u3bh4+5b18Bo24eHv4+AQmx1UUyyew6sfb4Dh48yOQy6hTtF046jC1OzwDadOsR1Qj56T5+tQTSXh1IRYWvyjJlurLoVMpKd+XsY/bqq6+Tk7OeBa+9eVzeTA2NUxWa+FQAlOH6q/V9FUJoFiK9se5A6tIcRnQwwxESchgRM3vFyAewCcwVCMGYgN04U5Vz8jMqIUQj5DSizRHSsRUJrx32rD+ApJ/fgoS6qgN/c1yLE07vUSYSgmvqWXc1dtisBkJ25iOFF1UdnaZNbco3+pbhfLNpo2sOcpDwofO4U3HX9XnR5/rh+I2q0+iktm1HomHwsjWOiUCiYVC1SpVAIxSk+wgSSBcU5BfZyOXlbePDD99n27Ztx3WNUPqiXCcqk06lLIlrUCNZDQ0NGzrUVQFQhjIr62Um3D7WpZH5FXc4ajh28cBzEeGwEiODO2RUFQlfqQrI1a11P1nfg9zrU5HQ2iQktXytY5vTHMc7F/GofGbtu95aXgXx2Pi1nnB6j6ojxGw37ppDX2FrfX7BnYLer2cvZs62DUJg6i523R4Vnhvvs16lxDuvv7SMqmma5G783DW2nkDbGA1JiyKQ9nYsV20rihM6O5FTpiuTTqWk7T00NDRKB9rjU4FIS+tGCPutbxkwHTsc1Rm7vs512AQmyEDegk1SDOxWEy/gH9Iaay1PR4jGL4ig2gln2vq3wNPA57g9TlWAFsB9SDVn55vs2QjhibPW3YI7nHUFUsSxNtK8tFfgbAlikYSJCAl7JWD9bMourbuk4ZpY3o7iCqTh5EyZPtEz0Eob2jujoVEx0MSnAqHecr/GbinhNCx5nmXOdHYnlEG83PqciIS3aiBEqJn16WyxkAGcby2vhdTXqYGE2bx6nyrW3ytwN1R1hmQ2I7WBfsL9UG1GRNwNHNeozPYyhAgpcvc2Etpx6ppyVixj8FW/47333iMvb3tMktCyRUtCSAq93/qplMyoxmoPASUP1wTWs8FHIF0EonaypkxrnYqGhkZ54KQiPitWrODqq6+mbdu2dO7cmVGjRrnWf/fdd4wcOZJ27dqRlpbG448/zrFjxypotEXDkKE38CtSjA/chsVLdJohoaGx+Nes2WVtNwghEvut7xORjK+dCJl42frciWR8LUc6p88hUs9zGGl5URSPU2bm7eTkrKdP774kGgYTEMN4FfBvJAwGElJTdOMqx3GUAPtShBBNBA6bJus/z+W3AwbQtWsH7rvnDtIvSg8Uh/7j7X9RLyUlsq5PfDzduqTx1FPTeeqp6UU2qsUR9B6PcNXP21EtJcUlkC4qUSsL70x5FkPUnhANDY2yxEnTnX3JkiXcd999/OlPf6Jr164UFhaydetWBgwYAEBhYSFXXnkldevW5Y477uCHH37gzjvvZNCgQdx+++3FPl9ZdGf367b75JOP8fjjj7ILMfYfI+GmyxEi80fkjX8GYrgWI0TH2Sm9D0J27kaISjukIKIydHOQ1g5O/Q/YuhoQ4nQFcCuiFeplHWcKdgf4rUR2Vwe7k3nnjp15972l4a7kTn0JCPnKcXw/HbtJqxpPLlL3Jwd3R/axwHnArvh42qR1p2rVqoH6lf3793HT9dfwcU52eH1Qangs4uPbPTxKd3O/ay+Otsar+yiJDiRWx3lnB/ni4Hiv7WSE7pJdcui5Kzn03JUMRe3OflIQn2PHjtGnTx/Gjh3L1Vdf7bvNypUrueWWW/joo4+oW7cuAK+++ipTp04lOzubatWqFeuc5UV8li//kMGDf88s4A3gA8c+ipjUQdLIFRSBiEN0PApnAP/z2X8KIvg9hGR7TUEqQs/C0VsKIU2Fjv3V8Z0G9DKkdcQz2ALmTMQbdBRYYxnVffsKGHbDEBf5qI7t0bkC8Tg96xnDWcAWgsnVFMQTlJMj0upopMDbS6uo5EXheAhERQtXFWGb5hEKx7rmoqCir600UNRaRNoAlRx67koOPXclQ1GJz0kR6vrqq6/43//+h2EYXHnllfTo0YM//vGPbN26NbxNbm4uzZo1C5MekG7ohw8fZvv20mlPUBbo3bsf9VJSGIfd8FOJUROQG6RIj+rHdb/13UQM2mKEhBwN2H8i4lkJIZ4dEyE9Sv9xKUJynKQnFREc18Utir4CITnOkExbpM1FCFiz5mNAxLWbP1nnGk8NpJDi94hnx9sqYwZCeiA4TPMb61NlNkULiUTrpVUUvcvxhIwqOlyjU6b9UZa1iDQ0NE4OnBTp7Lt37wZgxowZ3HXXXZxzzjm8+OKLZGRksGTJEpKSkti7d6+L9ADh73v27Cn2OePijn/cfsfzO+6sOS/xhz9cwVz8U7QVxiKG2/kCsBvJ/lpJcNVkgL8gBEi1sHAa80uQNPqpSMhMtZpoiBCUdM844hBN0KfW95VI01CFHTuip5wrLVIQoYDg1PsfrM/vv/+eHTu207hxdONbFPISdAxVZTtald3Sfk5KC8nJ0qoiL28733yzgw4d2pKSIpWb8/K2sXOneDtizd+phmid7V9dFOkJi/b/ViM69NyVHHruSoYiz5dZgZgyZYrZrFmzqP+2b99uvv3222azZs3MhQsXhvc9cuSI2aVLF/PVV181TdM07733XnPYsGGu4//0009ms2bNzBUrVpTrdRUH+fn5ZqcOHUzA3AWm6fi3S7hC+F+WY90AMKuDmQzmBGt9tP13WfskOo6VD2a65xwDwCwAc75j2WIwpzi+G9Z5s6zjZlnfDTC3bt1qLl68uNjXYzrO2coa53xrn/lgpoDZxrpm13j79zcLCgoC5/frr7+Oeq6tW7dGvT8D+vc3U+Lj3WOJjzcH9O9f2o9CmSM/P98c0L9/sebvVMLxPgsaGhqnBirU4zNs2DAGDhwYdZv69euHPTaNGzcOL69WrRr169fn+++/B8S7s3GjO4l57969ANSrV6/YY8vPL32NT506CRHHHTJoEF9v2AAEexbSEU2PsznphcD7SBXlqdZ2QfvHWeuykOrG/0L0NA2RbCvX26+1zSzHcVTPrurW50TsekPg9uYUFBwmJeWMqOMBEWRnOq7HWdAwy1rvbYq6D8lCm+sc74cfMugPV/u+rQOkpJwVtTBecvKZ7N17yHdfgGkzZnPryMgeSNNmzI6634kE9ewNvnoQ61d6vB0x5u9Uwvr1XwDB3r/PPttIcvKZrnVB/281YkPPXcmh565kUPMWCxVKfFJSUkhJSYm5XevWralWrRo7d+6kU6dOABw9epT//Oc/nH322QCkpqYya9Ys8vPzqVOnDgBr1qyhVq1aNGlSfHe+eh0sbTiPq+qtpCL1bpzEZqX1XRGB3yKi4gzc2Vgg4a/a+BOJVCRcdQvSnX0WUiH6YeyaOX4E5jVrWRx2o9CZ1rkgeuiob9+LfcnGWGzB9GAkW82vo3wyUtOngbX87rvvo2HD+owcOTJcQyg8XqtycF5ecOXgaA0cY93jxMTgKrsn0w/S1q1b+XBZcOXlaPPnRFk0KC0vFKVBaNA9Lavfg8oAPXclh567ssFJIW6uVasW11xzDdOnT2f16tXs2LGDBx54AIBLLrkEECFzkyZNuOOOO9iyZQsfffQRTz/9NNddd12xM7rKC0p/kotkO6XhFg0fBG5HPDBrsLU9VYHnsUXDBxFCkerZvyt2BWPztNPD6yZhE6cgAjMJqJOYyOw5L/HUU9MJISLoWEUUlfbGT1zbqXdflry/gvZtU7nbMBhijR/Ea/UuQnqcxwP43e8Gcu6550YdbzShcWkUxitvQW9RCiYW73hSDrOktX1OBVFwedYi0tDQOHFxUoibAe644w6qVKnCHXfcwS+//EK7du14+eWXSUxMBCA+Pp5Zs2bxwAMPMHjwYE4//XQGDhxIZmZmBY88GOoNFIRUjER6SW1H0s3TrWX7cYejxiLZUSPxF0F3QrwznbCJhXnkF+5EenHtAR5A0teD3n5btEtl4d/+QVJSMnl50uBSbTuASO+San9x++1jAbu+S0FBfoSn5LXX/+HywBiIB+oM3Cny1YFOXdNo3LgJyck1XWPwjrcolYOj9bY6UVDaPbYUVJi4pPMXTRR8vOnx5Ylo3j8NDY3KgZOijk9FoLzq+Pzu8v5kr80OrBWj/vZbtxVpXrkbOyxUCyE9ikCMQer3OAsVZiHelRuAJCQVPUw4DINWF3bhzbeXuMbvrAvTDrge8VQpOGv0FLVOjgof1alTl788PImVH9l+HtVrzEQM/6I3/sblAy7jq3VreSYUKvXaNCcKilswsShQz97/69OvRLV9yqogYkWiqLWIdD2VkkPPXcmh565kOKUKGFYEyov47N+/j+5d2/NrQUG4OrMiLPWBTdiVkxUU0VmMEA0nSUoBChzbRhASJAQ2yzpGZ6RPl0L7tqm89vo/IrwLflV7u3VJY8Dlv+Pee+8qFaO4Y8d2brrhWv699WseMk07tT4+nqpJSfwvPz9C33QqVQ4uK4Khnr3t23dx68jiV15euvR9hgy5KvA5fPXV1+nb9+Jij+tkgDZAJYeeu5JDz13JcEoVMDyVkZSUzMc5G2jdNc2lhzkEqBrVQXqamohRzESyoLKQIoRxQIvmLQDJgOqFEKgLEe/OYmzx8l8Rz9EE6/vM2f5G0E8n89Y/l4TrwJRGXyjTNNn89RZmmybjcRcb/F9+PlOBbxA9UC3DoFuXtFOqiWVZd0AvqdapPBqUamhoaJQXThqNz6mMpKRk3nx7Sdj9Hh8fzzWDBvI0Ilj26mnGIIxVGURnNpTS+4y8eTS33z6WeYg4WqGP9TkJu/P3SuAFKJLA06uTKUqmTDQ4s4RiGf5WCBkaD5wRCpGxNpsdO4qWjXQy4HjnsqgortYpLAoOKAlwqsy/hoZG5YAmPicQlEFauvR9QkB7YBlCcpzi5fZtU/nxpx/Zun0bK3EThfTwXyYGsIFIYbQB/ALhzt8A6Rell0jgGcsomqbJ0qXvR2gp/ES8aV3SgGDD7zSvTi/IqWJ4T2SCoUXBGhoapwo08TkBod78hyFanO3IjXofCfPMnD2PAwcO0L9/b3Z79lUk4dxz6xMiuNDgokVv8e23sne3bt2Py6j6GcX0tO4cPXaMtLSO4WVOPYlvltCn66iXkkLmgQMuwz8G8U419bnOUy3McqISDBUmOxUalGpoaFRuaOJzAsL55u/MwJnnefPv17svmSuXY3qynPr17EVhobQcDQobFRYeY+jQG0plvH5G8d67JwamPz/86BPhXl6dceiPCgvJKCige9c0Mhxd3eulpPDN/v1k+VznqWZ8T3SCcTKUBNDQ0NCIBk18TlAU5c0/2jb5+dKuo6z1Ik4oo6gqUgdVCR6QvQYgUH80Ztx4nny6Udjw16lTh3FjRpKxxE6xPxG8IGUJTTA0NDQ0ygaa+JygKMqbf7RtkpKSK0wvEkukHEt/pK5DjTEuDt79179Yu3bDCekF0dDQ0NA4eaCJzwmOorz5B21TUXqRWNlJsfRHQWjcWHtBNDQ0NDSOD5r4nMKoKL1IrOykWPqjUylTS0NDQ0PjxIIuYFgJUN4NNgHfJqUdLG+TLoinoaGhoVFR0B4fjTLBiao/0tDQ0NCo3NDER6NMcaLpjzQ0NDQ0Kjc08dGoEJzo9Wo0NDQ0NE5NaOKjUaHQ9Wo0NDQ0NMoTWtysoaGhoaGhUWmgiY+GhoaGhoZGpYEmPhoaGhoaGhqVBpr4aGhoaGhoaFQaaOKjoaGhoaGhUWmgiY+GhoaGhoZGpYEmPhoaGhoaGhqVBpr4aGhoaGhoaFQaaOKjoaGhoaGhUWmgiY+GhoaGhoZGpYFuWRGAuLiyOV5pH7cyQM/d8UHPX8mh567k0HNXcui5KxmKOl9xpmmaZTsUDQ0NDQ0NDY0TAzrUpaGhoaGhoVFpoImPhoaGhoaGRqWBJj4aGhoaGhoalQaa+GhoaGhoaGhUGmjio6GhoaGhoVFpoImPhoaGhoaGRqWBJj4aGhoaGhoalQaa+GhoaGhoaGhUGmjio6GhoaGhoVFpoImPhoaGhoaGRqWBJj7lhL/+9a/06dOHNm3acPXVV7Nx48aKHlKF45NPPuGWW26hR48eNG/enA8//NC13jRNpk2bRo8ePWjbti033ngj33zzjWub/fv3M378eDp06ECnTp245557+PHHH8vxKioGzz//PH/4wx9o3749aWlpjBo1ih07dri2OXLkCA8++CBdunShffv2jB07lr1797q2+e677xg5ciTt2rUjLS2Nxx9/nGPHjpXnpZQ7FixYwOWXX06HDh3o0KEDgwcPZuXKleH1et6KjtmzZ9O8eXP+8pe/hJfp+fPH9OnTad68uevfJZdcEl6v5638oIlPOWDx4sVMnjyZ0aNH8+abb9KiRQuGDx9Ofn5+RQ+tQvHTTz/RvHlzJk2a5Lt+zpw5zJ8/nwceeIBFixZx+umnM3z4cI4cORLeZsKECWzfvp0XX3yRWbNm8emnn3L//feX1yVUGNatW8d1113HokWLePHFFzl27BjDhw/np59+Cm/z6KOPsnz5cp5++mnmz5/PDz/8wJgxY8LrCwsLufnmmzl69CgLFy7kscce48033+SZZ56piEsqN5x55plMmDCBv//977zxxht07dqV0aNHs23bNkDPW1GxceNGFi5cSPPmzV3L9fwFo2nTpqxevTr8b8GCBeF1et7KEaZGmeOqq64yH3zwwfD3wsJCs0ePHubzzz9fgaM6sdCsWTPzgw8+CH8PhUJm9+7dzRdeeCG87ODBg2br1q3Nd955xzRN09y+fbvZrFkzc+PGjeFtVq5caTZv3tz873//W36DPwGQn59vNmvWzFy3bp1pmjJXF1xwgfnee++Ft1HztWHDBtM0TXPFihVmixYtzD179oS3WbBggdmhQwfzyJEj5Tr+ikbnzp3NRYsW6XkrIg4fPmxefPHF5scff2wOHTrUfOSRR0zT1M9dNDzzzDPmFVdc4btOz1v5Qnt8yhi//vorX375Jd26dQsvMwyDbt26sWHDhgoc2YmNb7/9lj179rjmLSEhgXbt2oXnbcOGDdSuXZs2bdqEt+nWrRuGYVS6UOKhQ4cASExMBGDTpk0cPXrUNX+NGzfm7LPPJjc3F4Dc3FyaNWtG3bp1w9v06NGDw4cPs3379vIbfAWisLCQd999l59++on27dvreSsiHnroIdLT013zBPq5i4V///vf9OjRg759+zJ+/Hi+++47QM9beaNKRQ/gVMe+ffsoLCykTp06ruV16tSJ0GRo2NizZw+A77ypuPfevXtJSUlxra9SpQqJiYnh/SsDQqEQjz76KB06dKBZs2aAzE3VqlWpXbu2a9s6deqE52bv3r2uH1Eg/P1Un7+vv/6aa665hiNHjlCjRg2effZZmjRpwubNm/W8xcC7777LV199xeuvvx6xTj93wWjbti2TJ0+mYcOG7Nmzh2effZbrrruOf/7zn3reyhma+GhonOR48MEH2bZtm0svoBEdDRs25K233uLQoUMsWbKEO++8k6ysrIoe1gmP77//nr/85S/MmzeP6tWrV/RwTiqkp6eH/27RogXt2rWjd+/evPfee5x22mkVOLLKBx3qKmMkJycTHx8fIWTOz8+PYO8aNurVqwcQdd7q1q1LQUGBa/2xY8c4cOBAeP9THQ899BArVqzg5Zdf5swzzwwvr1u3LkePHuXgwYOu7fPz88NzU7du3YisEfX9VJ+/atWqcd5559G6dWvGjx9PixYteOWVV/S8xcCXX35Jfn4+v//972nVqhWtWrVi3bp1zJ8/n1atWun5KwZq167N+eefz65du/S8lTM08SljVKtWjQsuuIDs7OzwslAoRHZ2Nu3bt6/AkZ3YOPfcc6lXr55r3g4fPsznn38enrf27dtz8OBBNm3aFN4mJyeHUChE27Zty33M5QnTNHnooYf44IMPePnll6lfv75rfevWralatapr/nbs2MF3331HamoqAKmpqWzdutVFLtesWUOtWrVo0qRJuVzHiYJQKMSvv/6q5y0Gunbtyj//+U/eeuut8L/WrVtz+eWXh//W81c0/Pjjj+zevZt69erpeStn6FBXOeCmm27izjvvpHXr1rRt25aXX36Zn3/+md///vcVPbQKxY8//siuXbvC37/99ls2b95MYmIiZ599Ntdffz0zZ87kvPPO49xzz2XatGn85je/oV+/foCI/y666CLuu+8+HnzwQY4ePcrDDz/MZZddxhlnnFFRl1UuePDBB3nnnXd47rnnqFmzZjjGn5CQwGmnnUZCQgJ/+MMfeOyxx0hMTKRWrVo88sgjtG/fPvxD2qNHD5o0acIdd9zBxIkT2bNnD08//TTXXXcd1apVq8CrK1s8+eST9OzZk7POOosff/yRd955h3Xr1jF37lw9bzFQq1atsI5MoUaNGiQlJYWX6/nzx+OPP07v3r05++yz+eGHH5g+fTqGYfDb3/5WP3fljDjTNM2KHkRlQFZWFnPnzmXPnj20bNmSe++9l3bt2lX0sCoUa9eu5frrr49YPnDgQB577DFM0+SZZ55h0aJFHDx4kI4dOzJp0iQaNmwY3nb//v08/PDDLFu2DMMwuPjii7n33nupWbNmeV5KucNbO0Vh8uTJYUJ95MgRHnvsMd59911+/fVXevTowaRJk1xu8f/85z888MADrFu3jtNPP52BAwcyfvx4qlQ5dd+J7rnnHnJycvjhhx9ISEigefPmjBgxgu7duwN63oqLjIwMWrRowZ///GdAz18Q/vSnP/HJJ5+wf/9+UlJS6NixI3/6059o0KABoOetPKGJj4aGhoaGhkalgdb4aGhoaGhoaFQaaOKjoaGhoaGhUWmgiY+GhoaGhoZGpYEmPhoaGhoaGhqVBpr4aGhoaGhoaFQaaOKjoaGhoaGhUWmgiY+GhoaGhoZGpYEmPhoaGhoaGhqVBpr4aGhonLQoKChg0qRJ9OrVi9atW9O9e3eGDx/OZ599BkCfPn1o3rw5ubm5rv3+8pe/kJGREf4+ffp0mjdvTvPmzWnZsiXp6encd9997N+/vxyvRkNDozyg61xraGictBg7dixHjx7lscceo379+uTn55Odne0iLNWrV2fq1KlkZWVFPVbTpk158cUXCYVC5OXlcc8993Do0CGefvrpsr0IDQ2NcoUmPhoaGiclDh48yKeffsr8+fO58MILATjnnHNo27ata7tBgwaxcOFCVq5cSXp6euDx4uPjw32RzjjjDC655BL+/ve/l90FaGhoVAh0qEtDQ+OkRI0aNahRowYffvghv/76a+B25557Ltdccw1PPvkkoVCoSMf+9ttvWb16NVWrVi2t4WpoaJwg0MRHQ0PjpESVKlV47LHHeOutt+jUqRPXXHMNTz31FFu2bInYdtSoUXz77be8/fbbgcfbunUr7du3p23btvTt25dt27YxYsSIsrwEDQ2NCoAmPhoaGict+vfvz0cffcTMmTO56KKLWLduHb///e8jQlQpKSkMGzaMZ555JtA71LBhQ9566y1ef/11RowYQY8ePRg6dGh5XIaGhkY5QhMfDQ2NkxrVq1ene/fujB49moULFzJw4ECmT58esd1NN93EkSNHWLBgge9xqlatynnnnUezZs2YMGEC8fHxzJgxo6yHr6GhUc7QxEdDQ+OUQpMmTfjpp58iltesWZNRo0Yxa9Ysfvzxx5jHufXWW5k3bx7/+9//ymKYGhoaFQRNfDQ0NE5K7Nu3j+uvv55//OMfbNmyhd27d/Pee+/xwgsv0LdvX999Bg0aREJCAu+8807M47dv357mzZvz/PPPl/bQNTQ0KhCa+GhoaJyUqFmzJu3atePll19m6NChXH755UybNo2rr76a+++/33efqlWrMm7cOI4cOVKkc9x444387W9/4/vvvy/NoWtoaFQg4kzTNCt6EBoaGhoaGhoa5QHt8dHQ0NDQ0NCoNNDER0NDQ0NDQ6PSQBMfDQ0NDQ0NjUoDTXw0NDQ0NDQ0Kg008dHQ0NDQ0NCoNNDER0NDQ0NDQ6PSQBMfDQ0NDQ0NjUoDTXw0NDQ0NDQ0Kg008dHQ0NDQ0NCoNNDER0NDQ0NDQ6PSQBMfDQ0NDQ0NjUoDTXw0NDQ0NDQ0Kg3+P+JQLthlr/kuAAAAAElFTkSuQmCC"
},
"metadata": {},
"output_type": "display_data"
},
{
"data": {
"text/plain": "<Figure size 1000x500 with 1 Axes>",
"image/png": 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"
},
"metadata": {},
"output_type": "display_data"
},
{
"data": {
"text/plain": "<Figure size 6000x3000 with 1 Axes>",
"image/png": 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},
"metadata": {},
"output_type": "display_data"
},
{
"data": {
"text/plain": "<Figure size 6000x3000 with 1 Axes>",
"image/png": 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},
"metadata": {},
"output_type": "display_data"
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"Data loaded successfully.\n",
"First few rows of the data:\n",
" NLOS RANGE FP_IDX MAX_NOISE FRAME_LEN PREAM_LEN CIR0 \\\n",
"0 1 6.18 749.0 3668.0 2 0 747.646447 \n",
"1 1 4.54 741.0 1031.0 2 0 123.353553 \n",
"2 1 4.39 744.0 796.0 0 0 439.646447 \n",
"3 1 1.27 748.0 1529.0 2 0 233.353553 \n",
"4 0 1.16 743.0 2022.0 0 0 82.353553 \n",
"\n",
" CIR1 CIR2 CIR3 ... CIR1009 CIR1010 \\\n",
"0 367.353553 744.646447 717.646447 ... 277.353553 726.646447 \n",
"1 470.646447 409.353553 332.353553 ... 486.646447 491.353553 \n",
"2 447.646447 130.353553 96.353553 ... 96.646447 271.646447 \n",
"3 239.353553 175.646447 532.646447 ... 94.353553 225.353553 \n",
"4 219.646447 110.646447 293.353553 ... 308.353553 132.353553 \n",
"\n",
" CIR1011 CIR1012 CIR1013 CIR1014 CIR1015 RX_Level \\\n",
"0 367.353553 802.646447 818.646447 466.646447 767.646447 -33.465374 \n",
"1 403.646447 334.353553 210.353553 102.353553 0.353553 -34.892422 \n",
"2 73.353553 125.353553 169.353553 182.353553 0.000000 -38.436975 \n",
"3 154.646447 171.646447 277.646447 317.646447 0.000000 -21.918230 \n",
"4 131.353553 102.353553 126.353553 162.646447 0.353553 -21.603535 \n",
"\n",
" First_Path_Power_Level SNR \n",
"0 -39.074609 37.700000 \n",
"1 -53.179491 95.794118 \n",
"2 -49.812107 55.384615 \n",
"3 -25.863535 200.859375 \n",
"4 -23.232193 152.723684 \n",
"\n",
"[5 rows x 1025 columns]\n",
"Column headers:\n",
"Index(['NLOS', 'RANGE', 'FP_IDX', 'MAX_NOISE', 'FRAME_LEN', 'PREAM_LEN',\n",
" 'CIR0', 'CIR1', 'CIR2', 'CIR3',\n",
" ...\n",
" 'CIR1009', 'CIR1010', 'CIR1011', 'CIR1012', 'CIR1013', 'CIR1014',\n",
" 'CIR1015', 'RX_Level', 'First_Path_Power_Level', 'SNR'],\n",
" dtype='object', length=1025)\n"
]
}
],
"source": [
"import pickle\n",
"\n",
"# File='data_original.pkl'\n",
"File = 'data.pkl'\n",
"\n",
"# Check if the file exists\n",
"if os.path.exists(File):\n",
" # If the file exists, load it\n",
" print(\"Loading data from pickle file...\")\n",
" with open(File, 'rb') as f:\n",
" data = pickle.load(f)\n",
" plot_features(data, data['NLOS'], \"First_Path_Power_Level\", \"RX_Level\")\n",
" plot_features(data, data['NLOS'], \"SNR\", \"RX_Level\")\n",
" plot_features(data, data['NLOS'], \"SNR\", \"First_Path_Power_Level\")\n",
" snr_graph(data)\n",
" cir_graphs(data)\n",
" print(\"Data loaded successfully.\")\n",
"else:\n",
" # If the file doesn't exist, load and clean the data\n",
" print(\"Pickle file not found. Loading and cleaning data...\")\n",
" data = load_data(DATASET_DIR)\n",
" cir_graphs(data)\n",
" data = clean_data(data)\n",
" plot_features(data, data['NLOS'], \"First_Path_Power_Level\", \"RX_Level\")\n",
" snr_graph(data)\n",
" cir_graphs(data)\n",
" print(\"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)"
],
"metadata": {
"collapsed": false,
"ExecuteTime": {
"end_time": "2024-03-18T15:11:25.612754Z",
"start_time": "2024-03-18T15:11:19.643974Z"
}
},
"id": "79c2c23691b26753",
"execution_count": 61
},
{
"cell_type": "code",
"outputs": [],
"source": [
"MODEL_DIR = './models'\n",
"\n",
"\n",
"def train_and_save_model(classifier, X_train, y_train, file_name):\n",
" if not os.path.exists(MODEL_DIR):\n",
" os.makedirs(MODEL_DIR)\n",
"\n",
" file_path = os.path.join(MODEL_DIR, file_name)\n",
"\n",
" # Check if the file exists\n",
" if not os.path.exists(file_path):\n",
" print(f\"Training the model and saving it to {file_path}\")\n",
" # Train the classifier\n",
" classifier.fit(X_train, y_train)\n",
"\n",
" # Save the trained model as a pickle string.\n",
" saved_model = pickle.dumps(classifier)\n",
"\n",
" # Save the pickled model to a file\n",
" with open(file_path, 'wb') as file:\n",
" file.write(saved_model)\n",
"\n",
" # Load the pickled model from the file\n",
" with open(file_path, 'rb') as file:\n",
" loaded_model = pickle.load(file)\n",
"\n",
" return loaded_model"
],
"metadata": {
"collapsed": false,
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"id": "12e16974341e6266",
"execution_count": 62
},
{
"cell_type": "markdown",
"source": [
"The selected code is performing data standardization, which is a common preprocessing step in many machine learning workflows. \n",
"\n",
"The purpose of standardization is to transform the data such that it has a mean of 0 and a standard deviation of 1. This is done to ensure that all features have the same scale, which is a requirement for many machine learning algorithms.\n",
"\n",
"The mathematical formulas used in this process are as follows:\n",
"\n",
"1. Calculate the mean (μ) of the data:\n",
"\n",
"$$\n",
"\\mu = \\frac{1}{n} \\sum_{i=1}^{n} x_i\n",
"$$\n",
"Where:\n",
"- $n$ is the number of observations in the data\n",
"- $x_i$ is the value of the $i$-th observation\n",
"- $\\sum$ denotes the summation over all observations\n",
"\n",
"2. Standardize the data by subtracting the mean from each observation and dividing by the standard deviation:\n",
"\n",
"$$\n",
"\\text{Data}_i = \\frac{x_i - \\mu}{\\sigma}\n",
"$$\n",
"Where:\n",
"- $\\text{Data}_i$ is the standardized value of the $i$-th observation\n",
"- $\\sigma$ is the standard deviation of the data\n",
"- $x_i$ is the value of the $i$-th observation\n",
"- $\\mu$ is the mean of the data\n",
"\n",
"The `StandardScaler` class from the `sklearn.preprocessing` module is used to perform this standardization. The `fit_transform` method is used to calculate the mean and standard deviation of the data and then perform the standardization.\n",
"\n",
"**Note:** By setting the explained variance to 0.95, we are saying that we want to choose the smallest number of principal components such that 95% of the variance in the original data is retained. This means that the transformed data will retain 95% of the information of the original data, while potentially having fewer dimensions.\n"
],
"metadata": {
"collapsed": false
},
"id": "b36814c942066d6"
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{
"cell_type": "markdown",
"source": [
"## Data Mining / Machine Learning\n",
"\n",
"### I. Supervised Learning\n",
"- **Decision**: Supervised learning is used due to the labeled dataset.\n",
"- **Algorithm**: Random Forest Classifier is preferred for its performance in classification tasks.\n",
"\n",
"### II. Training/Test Split Ratio\n",
"- **Decision**: 70:30 split is chosen for training/test dataset.\n",
"- **Reasoning**: This split ensures sufficient data for training and testing.\n",
"\n",
"### III. Performance Metrics\n",
"- **Classification Accuracy**: Measures the proportion of correctly classified instances.\n",
"- **Confusion Matrix**: Provides a summary of predicted and actual classes.\n",
"- **Classification Report**: Provides detailed metrics such as precision, recall, F1-score, and support for each class.\n",
"\n",
"The Random Forest Classifier is trained on the training set and evaluated on the test set using accuracy and classification report metrics.\n"
],
"metadata": {
"collapsed": false
},
"id": "8fefd253728ea2f0"
},
{
"cell_type": "markdown",
"source": [
"# Split the data into training and testing sets\n",
"\n",
"The next step is to split the data into training and testing sets. This is a common practice in machine learning, where the training set is used to train the model, and the testing set is used to evaluate its performance.\n",
"\n",
"We will use the `train_test_split` function from the `sklearn.model_selection` module to split the data into training and testing sets. We will use 70% of the data for training and 30% for testing, which is a common split ratio."
],
"metadata": {
"collapsed": false
},
"id": "7d64d6490fa1c2c2"
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{
"cell_type": "code",
"outputs": [],
"source": [
"from sklearn.model_selection import train_test_split\n",
"from tensorflow.keras.utils import to_categorical\n",
"\n",
"# Assuming 'NLOS' is your target column\n",
"y = data['NLOS']\n",
"\n",
"# Convert labels to categorical one-hot encoding\n",
"y_categorical = to_categorical(y, num_classes=2)\n",
"\n",
"# Now split the data\n",
"X_train, X_test, y_train, y_test = train_test_split(data, y_categorical, test_size=0.2)\n"
],
"metadata": {
"collapsed": false,
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"id": "54d2a6506b584a03",
"execution_count": 63
},
{
"cell_type": "markdown",
"source": [
"# Train a Random Forest Classifier\n",
"\n",
"The next step is to train a machine learning model on the training data. We will use the `RandomForestClassifier` class from the `sklearn.ensemble` module to train a random forest classifier.\n",
"\n",
"The random forest classifier is an ensemble learning method that operates by constructing a multitude of decision trees at training time and outputting the class that is the mode of the classes (classification) or mean prediction (regression) of the individual trees.\n",
"\n",
"We will use the `fit` method of the `RandomForestClassifier` object to train the model on the training data."
],
"metadata": {
"collapsed": false
},
"id": "ab55160e30fd6f99"
},
{
"cell_type": "code",
"outputs": [],
"source": [
"# from sklearn.ensemble import RandomForestClassifier\n",
"# \n",
"# # Initialize the classifier with parameters to prevent overfitting\n",
"# classifier = RandomForestClassifier(n_estimators=200, max_depth=10, min_samples_split=10, min_samples_leaf=5, max_features='sqrt')\n",
"# \n",
"# loaded_model = train_and_save_model(classifier, X_train, y_train, 'random_forest_classifier.pkl')\n"
],
"metadata": {
"collapsed": false,
"ExecuteTime": {
"end_time": "2024-03-18T15:11:25.908244Z",
"start_time": "2024-03-18T15:11:25.905116Z"
}
},
"id": "dc485f3de9f8936f",
"execution_count": 64
},
{
"cell_type": "markdown",
"source": [
"# Evaluate the Model\n",
"\n",
"To evaluate the performance of the trained model on the testing data, we will use the `predict` method of the `RandomForestClassifier` object to make predictions on the testing data. We will then use the `accuracy_score` and `classification_report` functions from the `sklearn.metrics` module to calculate the accuracy and generate a classification report.\n",
"\n",
"- **Accuracy:** The accuracy score function calculates the proportion of correctly classified instances.\n",
"\n",
"- **Precision:** The ratio of correctly predicted positive observations to the total predicted positive observations. It is calculated as:\n",
"\n",
" $$\n",
" \\text{Precision} = \\frac{\\text{True Positives}}{\\text{True Positives} + \\text{False Positives}}\n",
" $$\n",
"\n",
"- **Recall:** The ratio of correctly predicted positive observations to all observations in the actual class. It is calculated as:\n",
"\n",
" $$\n",
" \\text{Recall} = \\frac{\\text{True Positives}}{\\text{True Positives} + \\text{False Negatives}}\n",
" $$\n",
"\n",
"- **F1 Score:** The weighted average of precision and recall. It is calculated as:\n",
"\n",
" $$\n",
" \\text{F1 Score} = 2 \\times \\frac{\\text{Precision} \\times \\text{Recall}}{\\text{Precision} + \\text{Recall}}\n",
" $$\n",
"\n",
"- **Support:** The number of actual occurrences of the class in the dataset.\n",
"\n",
"The classification report provides a summary of the precision, recall, F1-score, and support for each class in the testing data, giving insight into how well the model is performing for each class.\n"
],
"metadata": {
"collapsed": false
},
"id": "424cc5954c9e81cc"
},
{
"cell_type": "code",
"outputs": [],
"source": [
"\n",
"# Make predictions on the test set using the loaded model\n",
"# y_pred = loaded_model.predict(X_test)\n",
"# \n",
"# # Evaluate the loaded model\n",
"# accuracy = accuracy_score(y_test, y_pred)\n",
"# classification_rep = classification_report(y_test, y_pred)\n",
"# cross_val_score = cross_val_score(loaded_model, X_test, y_test, cv=5)\n",
"# \n",
"# print(f\"Accuracy: {accuracy}\")\n",
"# print(f\"Classification Report:\\n{classification_rep}\")\n",
"# print(f\"Cross Validation Score: {cross_val_score}\")\n"
],
"metadata": {
"collapsed": false,
"ExecuteTime": {
"end_time": "2024-03-18T15:11:25.913564Z",
"start_time": "2024-03-18T15:11:25.909221Z"
}
},
"id": "702b4f40dda16736",
"execution_count": 65
},
{
"cell_type": "markdown",
"source": [
"# Visualize a Decision Tree from the Random Forest\n"
],
"metadata": {
"collapsed": false
},
"id": "41957f9babb74a3"
},
{
"cell_type": "code",
"outputs": [],
"source": [
"# from sklearn.tree import plot_tree\n",
"# import matplotlib.pyplot as plt\n",
"# \n",
"# # Select one tree from the forest\n",
"# estimator = loaded_model.estimators_[0]\n",
"# \n",
"# plt.figure(figsize=(100, 100))\n",
"# plot_tree(estimator,\n",
"# filled=True,\n",
"# rounded=True,\n",
"# class_names=['NLOS', 'LOS'],\n",
"# feature_names=data.columns,\n",
"# max_depth=5) # Limit the depth of the tree\n",
"# plt.show()"
],
"metadata": {
"collapsed": false,
"ExecuteTime": {
"end_time": "2024-03-18T15:11:25.916886Z",
"start_time": "2024-03-18T15:11:25.914597Z"
}
},
"id": "1f6f826d6234591c",
"execution_count": 66
},
{
"cell_type": "markdown",
"source": [
"# Support Vector Machine (SVM)"
],
"metadata": {
"collapsed": false
},
"id": "eef3be2c3026a909"
},
{
"cell_type": "code",
"outputs": [],
"source": [
"# import os\n",
"# from sklearn.svm import SVC\n",
"# import pickle\n",
"# \n",
"# svm = SVC(kernel='linear', random_state=42, verbose=True)\n",
"# loaded_model = train_and_save_model(svm, X_train, y_train, 'svm_classifier.pkl')\n",
"# \n",
"# # Predict the labels for the test set with each model\n",
"# y_pred_svm = loaded_model.predict(X_test)\n",
"# \n",
"# # Calculate the accuracy of each model\n",
"# accuracy_svm = accuracy_score(y_test, y_pred_svm)\n",
"# \n",
"# # Print the accuracy of each model\n",
"# print(f\"Accuracy of SVM: {accuracy_svm}\")"
],
"metadata": {
"collapsed": false,
"ExecuteTime": {
"end_time": "2024-03-18T15:11:25.920059Z",
"start_time": "2024-03-18T15:11:25.917862Z"
}
},
"id": "c970b0c1593d955c",
"execution_count": 67
},
{
"cell_type": "markdown",
"source": [
"# Logistic Regression"
],
"metadata": {
"collapsed": false
},
"id": "cccaf1db0d5060a8"
},
{
"cell_type": "code",
"outputs": [],
"source": [
"# from sklearn.linear_model import LogisticRegression\n",
"# from sklearn.model_selection import cross_val_score\n",
"# \n",
"# # Logistic Regression with L2 regularization\n",
"# log_reg = LogisticRegression(penalty='l2', C=0.1)\n",
"# \n",
"# # Use the train_and_save_model function to train and save the model\n",
"# loaded_model = train_and_save_model(log_reg, X_train, y_train, 'logistic_regression_model.pkl')"
],
"metadata": {
"collapsed": false,
"ExecuteTime": {
"end_time": "2024-03-18T15:11:25.923225Z",
"start_time": "2024-03-18T15:11:25.921024Z"
}
},
"id": "ee7506f4aa805faf",
"execution_count": 68
},
{
"cell_type": "code",
"outputs": [],
"source": [
"\n",
"# # Predict on the test set\n",
"# y_pred_log_reg = loaded_model.predict(X_test)\n",
"# \n",
"# # Calculate accuracy\n",
"# accuracy_log_reg = accuracy_score(y_test, y_pred_log_reg)\n",
"# print(f\"Accuracy of Logistic Regression: {accuracy_log_reg}\")\n",
"# \n",
"# # Perform 5-fold cross validation\n",
"# scores = cross_val_score(log_reg, X_train, y_train, cv=5)\n",
"# print(f\"Cross-validated scores: {scores}\")"
],
"metadata": {
"collapsed": false,
"ExecuteTime": {
"end_time": "2024-03-18T15:11:25.926323Z",
"start_time": "2024-03-18T15:11:25.924121Z"
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},
"id": "a44d38efa4b86d93",
"execution_count": 69
},
{
"cell_type": "code",
"outputs": [],
"source": [
"# from sklearn.metrics import roc_curve, auc\n",
"# import matplotlib.pyplot as plt\n",
"# \n",
"# # Compute ROC curve and ROC area for each class\n",
"# fpr, tpr, _ = roc_curve(y_test, y_pred_log_reg)\n",
"# roc_auc = auc(fpr, tpr)\n",
"# \n",
"# plt.figure()\n",
"# lw = 2\n",
"# plt.plot(fpr, tpr, color='darkorange',\n",
"# 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()"
],
"metadata": {
"collapsed": false,
"ExecuteTime": {
"end_time": "2024-03-18T15:11:25.930923Z",
"start_time": "2024-03-18T15:11:25.928577Z"
}
},
"id": "a3646a4965b0707c",
"execution_count": 70
},
{
"cell_type": "markdown",
"source": [
"# Gradient Boosting Classifier"
],
"metadata": {
"collapsed": false
},
"id": "aeaf5eeffa7ec104"
},
{
"cell_type": "code",
"outputs": [],
"source": [
"# from sklearn.ensemble import GradientBoostingClassifier\n",
"# \n",
"# # Gradient Boosting Classifier\n",
"# gbc = GradientBoostingClassifier()\n",
"# \n",
"# # Use the train_and_save_model function to train and save the model\n",
"# loaded_model = train_and_save_model(gbc, X_train, y_train, 'gradient_boosting_classifier.pkl')\n",
"# "
],
"metadata": {
"collapsed": false,
"ExecuteTime": {
"end_time": "2024-03-18T15:11:25.933925Z",
"start_time": "2024-03-18T15:11:25.931866Z"
}
},
"id": "c7ecae5d021ad44f",
"execution_count": 71
},
{
"cell_type": "code",
"outputs": [],
"source": [
"# y_pred_gbc = loaded_model.predict(X_test)\n",
"# accuracy_gbc = accuracy_score(y_test, y_pred_gbc)\n",
"# print(f\"Accuracy of Gradient Boosting Classifier: {accuracy_gbc}\")\n",
"# "
],
"metadata": {
"collapsed": false,
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"end_time": "2024-03-18T15:11:25.936907Z",
"start_time": "2024-03-18T15:11:25.934811Z"
}
},
"id": "4a8a1c3a7289ef7a",
"execution_count": 72
},
{
"cell_type": "markdown",
"source": [
"# K-Nearest Neighbors (KNN, K=15)\n",
"\n",
"This code block is implementing the K-Nearest Neighbors (KNN) algorithm for classification. The KNN algorithm is a type of instance-based learning, or lazy learning, where the function is only approximated locally and all computation is deferred until function evaluation. \n",
"\n",
"The KNN algorithm works by finding the distances between a query and all the examples in the data, selecting the specified number examples (K) closest to the query, then votes for the most frequent label (in the case of classification) or averages the labels (in the case of regression). \n",
"\n",
"The number of neighbors, K, is set to 15 in this case. This means that the algorithm looks at the 15 nearest neighbors to decide the class of the test instance. \n",
"\n",
"The mathematical concept behind KNN is the Euclidean distance. Given two points P1(x1, y1) and P2(x2, y2) in a 2D space, the Euclidean distance between P1 and P2 is calculated as:\n",
"\n",
"$$\n",
"\\text{Distance} = \\sqrt{(x2 - x1)^2 + (y2 - y1)^2}\n",
"$$\n",
"In higher dimensional space, the formula is generalized as:\n",
"$$\n",
"\\text{Distance} = \\sqrt{\\sum_{i=1}^{n} (x_i - y_i)^2}\n",
"$$\n",
"Where:\n",
"- $n$ is the number of dimensions\n",
"- $x_i$ and $y_i$ are the $i$-th dimensions of the two points\n"
],
"metadata": {
"collapsed": false
},
"id": "25102568a6e5c457"
},
{
"cell_type": "code",
"outputs": [],
"source": [
"# from sklearn.neighbors import KNeighborsClassifier\n",
"# \n",
"# # K-Nearest Neighbors\n",
"# knn = KNeighborsClassifier(n_neighbors=13)\n",
"# loaded_model = train_and_save_model(knn, X_train, y_train, 'knn_classifier.pkl')\n"
],
"metadata": {
"collapsed": false,
"ExecuteTime": {
"end_time": "2024-03-18T15:11:25.939889Z",
"start_time": "2024-03-18T15:11:25.937754Z"
}
},
"id": "705c62e64bf6d614",
"execution_count": 73
},
{
"cell_type": "code",
"outputs": [],
"source": [
"# y_pred_knn = loaded_model.predict(X_test)\n",
"# accuracy_knn = accuracy_score(y_test, y_pred_knn)\n",
"# print(f\"Accuracy of K-Nearest Neighbors: {accuracy_knn}\")"
],
"metadata": {
"collapsed": false,
"ExecuteTime": {
"end_time": "2024-03-18T15:11:25.942901Z",
"start_time": "2024-03-18T15:11:25.940823Z"
}
},
"id": "cf4df4ef7bbfd74",
"execution_count": 74
},
{
"cell_type": "code",
"outputs": [],
"source": [
"# from sklearn.model_selection import GridSearchCV\n",
"# \n",
"# # Define the parameter values that should be searched\n",
"# k_range = list(range(1, 31))\n",
"# \n",
"# # Create a parameter grid: map the parameter names to the values that should be searched\n",
"# param_grid = dict(n_neighbors=k_range)\n",
"# \n",
"# # Instantiate the grid\n",
"# grid = GridSearchCV(knn, param_grid, cv=10, scoring='accuracy')\n",
"# \n",
"# # Fit the grid with data\n",
"# grid.fit(X_train, y_train)\n",
"# \n",
"# # View the complete results\n",
"# grid.cv_results_\n",
"# \n",
"# # Examine the best model\n",
"# print(grid.best_score_)\n",
"# print(grid.best_params_)"
],
"metadata": {
"collapsed": false,
"ExecuteTime": {
"end_time": "2024-03-18T15:11:25.946023Z",
"start_time": "2024-03-18T15:11:25.943784Z"
}
},
"id": "faabcf63e34005a9",
"execution_count": 75
},
{
"cell_type": "code",
"outputs": [],
"source": [
"# import matplotlib.pyplot as plt\n",
"# import numpy as np\n",
"# \n",
"# # Apply PCA to reduce dimensionality to 2D\n",
"# pca = PCA(n_components=2)\n",
"# X_test_2d = pca.fit_transform(X_test)\n",
"# \n",
"# # Print the number of features\n",
"# print(f\"Original number of features: {X_test.shape[1]}, reduced number of features: {X_test_2d.shape[1]}\")\n",
"# \n",
"# # Create a scatter plot\n",
"# plt.figure(figsize=(10, 7))\n",
"# \n",
"# # Create a color map\n",
"# cmap = plt.cm.viridis\n",
"# \n",
"# # Plot NLOS points\n",
"# nlos = plt.scatter(X_test_2d[y_pred_knn == 1, 0], X_test_2d[y_pred_knn == 1, 1], c='blue', label='NLOS')\n",
"# \n",
"# # Plot LOS points\n",
"# los = plt.scatter(X_test_2d[y_pred_knn == 0, 0], X_test_2d[y_pred_knn == 0, 1], c='red', label='LOS')\n",
"# \n",
"# # Add labels\n",
"# plt.xlabel('Principal Component 1')\n",
"# plt.ylabel('Principal Component 2')\n",
"# plt.title('2D Scatter Plot for LOS and NLOS')\n",
"# \n",
"# # Add a legend\n",
"# plt.legend(handles=[nlos, los])\n",
"# \n",
"# plt.show()"
],
"metadata": {
"collapsed": false,
"ExecuteTime": {
"end_time": "2024-03-18T15:11:25.949595Z",
"start_time": "2024-03-18T15:11:25.946864Z"
}
},
"id": "2ed22b3fc59f74e6",
"execution_count": 76
},
{
"cell_type": "code",
"outputs": [],
"source": [
"# from sklearn.neighbors import KNeighborsClassifier\n",
"# from sklearn.metrics import accuracy_score\n",
"# import matplotlib.pyplot as plt\n",
"# \n",
"# # Define the list of numbers of neighbors (from 1-20)\n",
"# num_neighbors = np.arange(1, 100, 2)\n",
"# \n",
"# # Initialize the lists to store the accuracies\n",
"# train_acc = []\n",
"# test_acc = []\n",
"# \n",
"# # Loop over the different numbers of neighbors\n",
"# for k in num_neighbors:\n",
"# # Initialize the KNN classifier\n",
"# clf = KNeighborsClassifier(n_neighbors=k)\n",
"# \n",
"# # Fit the classifier on the training data\n",
"# clf.fit(X_train, y_train)\n",
"# \n",
"# # Make predictions on the training and test data\n",
"# y_pred_train = clf.predict(X_train)\n",
"# y_pred_test = clf.predict(X_test)\n",
"# \n",
"# # Calculate the accuracies\n",
"# train_acc.append(accuracy_score(y_train, y_pred_train))\n",
"# test_acc.append(accuracy_score(y_test, y_pred_test))\n",
"# \n",
"# # Plot the accuracies\n",
"# plt.figure(figsize=(10, 5))\n",
"# plt.plot(num_neighbors, train_acc, 'ro-', num_neighbors, test_acc, 'bv--')\n",
"# plt.legend(['Training Accuracy', 'Test Accuracy'])\n",
"# plt.xlabel('Number of Neighbors')\n",
"# plt.ylabel('Accuracy')\n",
"# plt.title('Training and Test Accuracy for Different Numbers of Neighbors in KNN')\n",
"# plt.grid()\n",
"# plt.show()"
],
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"id": "4ac86c268055c1b8",
"execution_count": 77
},
{
"cell_type": "markdown",
"source": [
"# Naive Bayes"
],
"metadata": {
"collapsed": false
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{
"cell_type": "code",
"outputs": [],
"source": [
"# from sklearn.naive_bayes import GaussianNB\n",
"# \n",
"# # Naive Bayes\n",
"# nb = GaussianNB()\n",
"# loaded_model = train_and_save_model(nb, X_train, y_train, 'naive_bayes_classifier.pkl')"
],
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"id": "3d984228fb1d3026",
"execution_count": 78
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{
"cell_type": "code",
"outputs": [],
"source": [
"# y_pred_nb = loaded_model.predict(X_test)\n",
"# accuracy_nb = accuracy_score(y_test, y_pred_nb)\n",
"# print(f\"Accuracy of Naive Bayes: {accuracy_nb}\")"
],
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"id": "98cd350871bc3201",
"execution_count": 79
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{
"cell_type": "markdown",
"source": [
"# K-Means Clustering"
],
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"collapsed": false
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{
"cell_type": "code",
"outputs": [],
"source": [
"# from sklearn.cluster import KMeans\n",
"# \n",
"# # K-Means Clustering\n",
"# kmeans = KMeans(n_clusters=2, max_iter=600)\n",
"# loaded_model = train_and_save_model(kmeans, X_train, y_train, 'kmeans_clustering.pkl')"
],
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"execution_count": 80
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{
"cell_type": "code",
"outputs": [],
"source": [
"# y_pred_kmeans = loaded_model.predict(X_test)\n",
"# accuracy_kmeans = accuracy_score(y_test, y_pred_kmeans)\n",
"# print(f\"Accuracy of K-Means Clustering: {accuracy_kmeans}\")\n"
],
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"id": "494bb537046bf5a7",
"execution_count": 81
},
{
"cell_type": "code",
"outputs": [],
"source": [
"# labels = loaded_model.labels_\n",
"# # Print the data table with the cluster labels\n",
"# print(f\"Data table with cluster labels:\\n{pd.concat([X_test, pd.DataFrame({'Cluster': labels})], axis=1)}\")\n",
"# \n"
],
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"id": "62401c8d1a4d61cc",
"execution_count": 82
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{
"cell_type": "code",
"outputs": [],
"source": [
"# from sklearn.cluster import KMeans\n",
"# from sklearn.metrics import accuracy_score\n",
"# from sklearn.decomposition import PCA\n",
"# from mpl_toolkits.mplot3d import Axes3D\n",
"# import matplotlib.pyplot as plt\n",
"# \n",
"# # Define the range of cluster numbers\n",
"# cluster_range = range(1, 15)\n",
"# \n",
"# # For each number of clusters\n",
"# for n_clusters in cluster_range:\n",
"# # Create a KMeans model\n",
"# kmeans = KMeans(n_clusters=n_clusters, max_iter=600)\n",
"# \n",
"# # Fit the model to the training data\n",
"# kmeans.fit(X_train)\n",
"# \n",
"# # Make predictions on the test data\n",
"# y_pred_kmeans = kmeans.predict(X_test)\n",
"# \n",
"# # Calculate the accuracy of the model\n",
"# accuracy_kmeans = accuracy_score(y_test, y_pred_kmeans)\n",
"# \n",
"# # Print the number of clusters and the corresponding accuracy\n",
"# print(f\"Number of clusters: {n_clusters}, Accuracy: {accuracy_kmeans}\")\n",
"# \n",
"# # Apply PCA to reduce dimensionality to 3D\n",
"# pca = PCA(n_components=3)\n",
"# X_test_3d = pca.fit_transform(X_test)\n",
"# \n",
"# # Create a 3D scatter plot\n",
"# fig = plt.figure(figsize=(10, 7))\n",
"# ax = fig.add_subplot(111, projection='3d')\n",
"# \n",
"# # Create a color map\n",
"# cmap = plt.cm.get_cmap('viridis', n_clusters) # We use 'viridis' colormap and we specify that we have n_clusters\n",
"# \n",
"# # Plot the points with colors according to their cluster assignment\n",
"# scatter = ax.scatter(X_test_3d[:, 0], X_test_3d[:, 1], X_test_3d[:, 2], c=y_pred_kmeans, cmap=cmap)\n",
"# \n",
"# # Add labels\n",
"# ax.set_xlabel('Principal Component 1')\n",
"# ax.set_ylabel('Principal Component 2')\n",
"# ax.set_zlabel('Principal Component 3')\n",
"# plt.title(f'3D Visualization of {n_clusters} Clusters')\n",
"# \n",
"# # Display the plot\n",
"# plt.show()"
],
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},
"id": "f0f5284581e70e6e",
"execution_count": 83
},
{
"cell_type": "code",
"outputs": [],
"source": [
"# from sklearn.decomposition import PCA\n",
"# import matplotlib.pyplot as plt\n",
"# \n",
"# # Apply PCA to reduce dimensionality to 2D\n",
"# pca = PCA(n_components=2)\n",
"# X_test_2d = pca.fit_transform(X_test)\n",
"# \n",
"# # Predict the cluster labels for the data points you're plotting\n",
"# labels = loaded_model.predict(X_test)\n",
"# \n",
"# # Create a scatter plot\n",
"# plt.figure(figsize=(10, 7))\n",
"# \n",
"# # Create a color map\n",
"# cmap = plt.cm.get_cmap('viridis', 2) # We use 'viridis' colormap and we specify that we have 2 clusters\n",
"# \n",
"# # Plot the points with colors according to their cluster assignment\n",
"# plt.scatter(X_test_2d[:, 0], X_test_2d[:, 1], c=labels, cmap=cmap)\n",
"# \n",
"# # Add labels\n",
"# plt.xlabel('Principal Component 1')\n",
"# plt.ylabel('Principal Component 2')\n",
"# plt.title('2D Visualization of Clusters')\n",
"# \n",
"# # Display the plot\n",
"# plt.show()"
],
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"id": "82c7ba8cbb2aa17a",
"execution_count": 84
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{
"cell_type": "markdown",
"source": [
"# Convolution Neural Network\n",
"\n",
"This code block is implementing a Convolutional Neural Network (CNN) for a classification task using TensorFlow. The CNN is a class of deep learning neural networks, most commonly applied to analyzing visual imagery. They are also known as shift invariant or space invariant artificial neural networks (SIANN), based on their shared-weights architecture and translation invariance characteristics. Here's a step-by-step breakdown of what the code does: \n",
"1. Data Preparation: The target column 'NLOS' is separated from the rest of the dataset. The target values are then encoded from categorical to numerical values using LabelEncoder. These numerical values are then one-hot encoded to create binary variables for each class. \n",
"2. Data Reshaping: The input data is reshaped to fit the model. Each data instance is reshaped to a 3D array where the third dimension represents the number of input channels, which is 1 in this case. \n",
"3. Data Splitting: The data is split into training and testing sets using a 80:20 ratio. \n",
"4. Model Creation: A Sequential model is created using Keras. This model is composed of the following layers: \n",
"5. 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",
"6. 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",
"7. 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",
"9. Model Compilation: The model is compiled with the Adam optimizer, categorical cross-entropy loss function, and accuracy as the evaluation metric. \n",
"10. 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",
"11. Model Evaluation: The model's performance is evaluated on the testing set and the accuracy is printed. \n",
"\n",
"12. 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",
"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."
],
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{
"cell_type": "code",
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"Epoch 1/20\n",
"1050/1050 [==============================] - 16s 14ms/step - loss: 2.7642 - accuracy: 0.5000 - val_loss: 1.8876 - val_accuracy: 0.5015\n",
"Epoch 2/20\n",
"1050/1050 [==============================] - 14s 14ms/step - loss: 1.9021 - accuracy: 0.5728 - val_loss: 1.9093 - val_accuracy: 0.7850\n",
"Epoch 3/20\n",
"1050/1050 [==============================] - 14s 13ms/step - loss: 1.7320 - accuracy: 0.8305 - val_loss: 1.6584 - val_accuracy: 0.8530\n",
"Epoch 4/20\n",
"1050/1050 [==============================] - 14s 13ms/step - loss: 1.6434 - accuracy: 0.8481 - val_loss: 1.5895 - val_accuracy: 0.8581\n",
"Epoch 5/20\n",
"1050/1050 [==============================] - 14s 13ms/step - loss: 1.6220 - accuracy: 0.8505 - val_loss: 1.6054 - val_accuracy: 0.8598\n",
"Epoch 6/20\n",
"1050/1050 [==============================] - 14s 13ms/step - loss: 1.6229 - accuracy: 0.8492 - val_loss: 1.6650 - val_accuracy: 0.8564\n",
"Epoch 7/20\n",
"1050/1050 [==============================] - 14s 13ms/step - loss: 1.6140 - accuracy: 0.8516 - val_loss: 1.6001 - val_accuracy: 0.8606\n",
"Epoch 8/20\n",
"1050/1050 [==============================] - 14s 13ms/step - loss: 1.6073 - accuracy: 0.8508 - val_loss: 1.6130 - val_accuracy: 0.8498\n",
"Epoch 9/20\n",
"1050/1050 [==============================] - 14s 13ms/step - loss: 1.6104 - accuracy: 0.8516 - val_loss: 1.5862 - val_accuracy: 0.8556\n",
"Epoch 10/20\n",
"1050/1050 [==============================] - 14s 13ms/step - loss: 1.6127 - accuracy: 0.8509 - val_loss: 1.5909 - val_accuracy: 0.8530\n",
"Epoch 11/20\n",
"1050/1050 [==============================] - 14s 13ms/step - loss: 1.6118 - accuracy: 0.8517 - val_loss: 1.5823 - val_accuracy: 0.8599\n",
"Epoch 12/20\n",
"1050/1050 [==============================] - 14s 13ms/step - loss: 1.6193 - accuracy: 0.8530 - val_loss: 1.5896 - val_accuracy: 0.8565\n",
"Epoch 13/20\n",
"1050/1050 [==============================] - 14s 13ms/step - loss: 1.6066 - accuracy: 0.8518 - val_loss: 1.6285 - val_accuracy: 0.8585\n",
"Epoch 14/20\n",
"1050/1050 [==============================] - 14s 13ms/step - loss: 1.6146 - accuracy: 0.8531 - val_loss: 1.6124 - val_accuracy: 0.8570\n",
"Epoch 15/20\n",
"1050/1050 [==============================] - 14s 13ms/step - loss: 1.6060 - accuracy: 0.8528 - val_loss: 1.6183 - val_accuracy: 0.8475\n",
"Epoch 16/20\n",
"1050/1050 [==============================] - 14s 13ms/step - loss: 1.6036 - accuracy: 0.8520 - val_loss: 1.5936 - val_accuracy: 0.8577\n",
"Epoch 17/20\n",
"1050/1050 [==============================] - 14s 14ms/step - loss: 1.6146 - accuracy: 0.8539 - val_loss: 1.6377 - val_accuracy: 0.8538\n",
"Epoch 18/20\n",
"1050/1050 [==============================] - 14s 14ms/step - loss: 1.6103 - accuracy: 0.8509 - val_loss: 1.6075 - val_accuracy: 0.8545\n",
"Epoch 19/20\n",
"1050/1050 [==============================] - 14s 13ms/step - loss: 1.6099 - accuracy: 0.8538 - val_loss: 1.6248 - val_accuracy: 0.8602\n",
"Epoch 20/20\n",
"1050/1050 [==============================] - 15s 14ms/step - loss: 1.6019 - accuracy: 0.8548 - val_loss: 1.5812 - val_accuracy: 0.8540\n",
"Test accuracy: 0.8540475964546204\n",
"263/263 [==============================] - 1s 3ms/step\n",
"Classification Report: \n",
" precision recall f1-score support\n",
"\n",
" 0 0.81 0.92 0.86 4192\n",
" 1 0.91 0.78 0.84 4208\n",
"\n",
" accuracy 0.85 8400\n",
" macro avg 0.86 0.85 0.85 8400\n",
"weighted avg 0.86 0.85 0.85 8400\n"
]
},
{
"data": {
"text/plain": "<Figure size 640x480 with 1 Axes>",
"image/png": 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"
},
"metadata": {},
"output_type": "display_data"
},
{
"data": {
"text/plain": "<Figure size 1200x600 with 1 Axes>",
"image/png": 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"
},
"metadata": {},
"output_type": "display_data"
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"Test accuracy: 0.8540475964546204\n"
]
}
],
"source": [
"from tensorflow.keras.models import Sequential\n",
"from tensorflow.keras.layers import Conv1D, MaxPooling1D, Flatten, Dense, Dropout\n",
"from tensorflow.keras.callbacks import EarlyStopping\n",
"from sklearn.model_selection import train_test_split\n",
"from sklearn.preprocessing import StandardScaler\n",
"from tensorflow.keras.layers import BatchNormalization\n",
"from tensorflow.keras import regularizers\n",
"from tensorflow.keras.optimizers import Adam\n",
"from sklearn.metrics import confusion_matrix, roc_curve, auc\n",
"import seaborn as sns\n",
"\n",
"# 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)\n",
"\n",
"# Initialize a Sequential model\n",
"model = Sequential()\n",
"\n",
"model.add(Conv1D(filters=64, kernel_size=3, activation='relu', input_shape=(X_train.shape[1], 1)))\n",
"model.add(MaxPooling1D(pool_size=2))\n",
"model.add(Dropout(0.1)) # Reduce dropout rate\n",
"\n",
"model.add(Conv1D(filters=32, kernel_size=3, activation='relu'))\n",
"model.add(Conv1D(filters=32, kernel_size=3, activation='relu')) # Add an extra Conv1D layer\n",
"model.add(Flatten())\n",
"\n",
"model.add(Dense(64, activation='relu', kernel_regularizer=regularizers.l1(0.01))) # Increase neurons in dense layer\n",
"model.add(Dropout(0.3)) # Adjust dropout rate\n",
"\n",
"model.add(Dense(1, activation='sigmoid'))\n",
"\n",
"model.compile(optimizer=Adam(learning_rate=0.001), loss='binary_crossentropy', metrics=['accuracy'])\n",
"\n",
"early_stopping = EarlyStopping(monitor='val_loss', patience=10)\n",
"\n",
"history = model.fit(X_train, y_train, epochs=20, batch_size=32, validation_data=(X_test, y_test), callbacks=[early_stopping])\n",
"\n",
"# Evaluate the model on the test data\n",
"test_loss, test_acc = model.evaluate(X_test, y_test, verbose=0)\n",
"print('Test accuracy:', test_acc)\n",
"\n",
"# Make predictions on the test 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",
"\n",
"# Generate a classification report\n",
"report = classification_report(y_test, y_pred_classes)\n",
"print('Classification Report: \\n', report)\n",
"\n",
"# 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",
"# Evaluate the model on the test data\n",
"test_loss, test_acc = model.evaluate(X_test, y_test, verbose=0)\n",
"print('Test accuracy:', test_acc)\n",
"\n"
],
"metadata": {
"collapsed": false,
"ExecuteTime": {
"end_time": "2024-03-18T15:57:57.211971Z",
"start_time": "2024-03-18T15:53:07.740773Z"
}
},
"id": "3fe2ed86c3527d2",
"execution_count": 101
},
{
"cell_type": "code",
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"263/263 [==============================] - 1s 3ms/step\n",
"Test loss: 1.5812427997589111\n",
"Test accuracy: 0.8540475964546204\n",
"Classification Report: \n",
" precision recall f1-score support\n",
"\n",
" 0 0.81 0.92 0.86 4192\n",
" 1 0.91 0.78 0.84 4208\n",
"\n",
" accuracy 0.85 8400\n",
" macro avg 0.86 0.85 0.85 8400\n",
"weighted avg 0.86 0.85 0.85 8400\n"
]
},
{
"data": {
"text/plain": "<Figure size 1000x500 with 2 Axes>",
"image/png": 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"
},
"metadata": {},
"output_type": "display_data"
},
{
"data": {
"text/plain": "<Figure size 1000x500 with 2 Axes>",
"image/png": 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iiSdyfB7zan/4wx/0z3/+UxUqVFD9+vW1detWff3116pcubLbfN26dVOrVq3UuHFjVa5cWf/73/+0YcMGt687ePHFF/Xggw+qR48e6tOnj2rXrq2TJ09q69atOnbsmP71r3/leV0oXgg28EiDBg00b948JSQkaPr06apRo4ZGjhyp5ORktwOFJD322GO6/fbb9e6772rWrFmSrnzosm3btjm+MDIv+vbtq9WrV2v+/Pm6cOGCatSooYceekjDhg1zzVO1alX94x//0KxZs/TJJ5/o/fffV+XKlVW/fn2P7xbjqdWrV6t06dK66667PF42+/KzunXrKigoyG36l19+6Xr+avndvg6HQ7Nnz9bLL7+slStXym63q3Pnzho+fLj69euX72+LfumllzRx4kQlJCQoMzNTI0aM0IABA9StWzclJibqX//6lxwOh+rWraupU6eqS5cu+RoHAPKC49X1FeR45XA4NHfuXI0fP15///vfVb58eY0YMULDhw+/4XLPP/+87Ha7Vq9erUuXLqlZs2aaP3++Bg8e7DbfQw89pM8++0xfffWVMjIyVLNmTT355JNu4bJ+/fpavny5Zs6cqZUrV+r06dOqUqWKGjVq5FZHXtaF4sVmXXveFUCJtHHjRg0fPlzvvfee66wRAACAKfiMDVACXbx40e1xVlaWFi1apAoVKuS4pAEAAMAEXIqGEufUqVM5Pqx4tdKlS+e45re4mThxoi5evKioqChlZGTo448/1pYtW/T000+7fYkaAMB/OF4BnuFSNJQ4HTt2vOGXiLVq1UqLFi3yYUW+l33t94EDB3Tp0iXddttt6tevHx+oBIAihOMV4BmCDUqcH374IcctiK8WGBioJk2a+LAiAABy4ngFeIZgAwAAAMB43DwAAAAAgPEINgAAAACMR7ABAAAAYLwie7vnlJRz8vWnf2w2KTi4ol/G9iX6LD5KQo8SffqjBuTO5J/BovDz5U/0T//0b2b/nhyXimywsSz5bcP7c2xfos/ioyT0KNEn/K847Jvi0ENB0D/907+/q/AeLkUDAAAAYDyCDQAAAADjEWwAAAAAGI9gAwAAAMB4BBsAAAAAxiPYAAAAADAewQYAAACA8Qg2AAAAAIxHsAEAAABgPIINAAAAAOMRbAAAAAAYj2ADADDK999/ryeeeEIxMTEKCwvTxo0bb7rMt99+q549e6pJkybq3LmzVqxY4YNKAQC+RLABABjlwoULCgsL04svvpin+ZOSkvT444+rdevW+uc//6mHH35Yf/nLX7Rp0yYvVwoA8KVS/i4AAABPtG/fXu3bt8/z/EuXLlWtWrX03HPPSZLq1aunH374Qe+++67atWvnrTIBAD7GGRsAQLG2detWtWnTxm1aTEyMtm7d6p+CAABewRkbFDq73Sa73ea38Z1OS06n5bfxARQtJ0+eVNWqVd2mVa1aVWlpabp48aLKli2b53XZ/PenrcCyaze5h4Io6f07HFcaL1XKLssPh0jL8u+xuaTvf5P796Rmgg0Kld1uU6XK5VTK4b+TgZeznDpz+oIsf/zlBlCsBQdX9HcJBVYceiiIktp/1v8PFZUrl/fb+A4/vumZraTu/2zFvX+CDQqV3W5TKYddo5du0Z4TaT4fv361Cpr2QJTsdpuysgg2AK6cnTl58qTbtJMnT6pChQoena2RpJSUc355t7sw2GxXXtSY3ENBlOT+HQ67goLK+/3YnJp6XllZTp+PL5Xs/S+Z3X927XlBsIFX7DmRpp1Hzvq7DABQZGSk/vOf/7hN+/rrrxUZGenxuixLxr0ouFZx6KEgSnL/ReHY7O9tX5L3v1T8++fmAQAAo5w/f167du3Srl27JEmHDh3Srl27dOTIEUnSlClTNHbsWNf8DzzwgJKSkvS3v/1Nv/76q5YsWaJ169Zp0KBB/igfAOAlnLEBABhlx44dGjhwoOtxQkKCJKlnz56aNGmSkpOTdfToUdfztWvX1uzZs5WQkKCFCxeqRo0aeumll7jVMwAUMwQbAIBRWrdurd27d1/3+UmTJuW6zKpVq7xYFQDA37gUDQAAAIDxCDYAAAAAjEewAQAAAGA8gg0AAAAA4xFsAAAAABiPYAMAAADAeAQbAAAAAMYj2AAAAAAwHsEGAAAAgPEINgAAAACMR7ABAAAAYDyCDQAAAADjEWwAAAAAGI9gAwAAAMB4BBsAAAAAxiPYAAAAADAewQYAAACA8Qg2AAAAAIxHsAEAAABgPIINAAAAAOMRbAAAAAAYj2ADAAAAwHgEGwAAAADGI9gAAAAAMB7BBgAAAIDxCDYAAAAAjEewAQAAAGA8gg0AAAAA45XyZObZs2fr448/1t69e1W2bFlFRUXpmWeeUd26dV3zPPTQQ/ruu+/cluvbt68mTJhQOBUDAAAAwDU8Cjbfffed+vfvr/DwcGVlZem1115TXFycPvroI5UrV841X58+fTRq1CjX41tuuaXwKgYAAACAa3gUbObNm+f2eNKkSWrTpo127typli1buqaXLVtWISEhhVMhAAAAANxEgT5jc+7cOUlSpUqV3KavXr1arVu3Vvfu3TVlyhSlp6cXZBgAAAAAuCGPzthczel06pVXXlGzZs0UGhrqmt69e3fVrFlT1apV0+7duzV58mTt27dPM2fO9Gj9Nlt+K8u/7DH9MbYv0WfxURJ6lOjTHzUAAGCafAeb+Ph4/fLLL3rvvffcpvft29f177CwMIWEhGjQoEE6ePCg6tSpk+f1BwdXzG9pBebPsX2pOPcZFFTe9e/i3Ge2ktCjRJ8AAOD68hVsJkyYoM8//1yLFy9WjRo1bjhv06ZNJUkHDhzwKNikpJyTZeWnuvyz2a68oPDH2L7kzT4dDrtbqPCX1NTzcjqdxX5/8jNbvBSFPrNrAADANB4FG8uyNHHiRH3yySdatGiRateufdNldu3aJUke30zAsuS3A7s/x/al4t5ndm/FvU+pZPQo0ScAALg+j4JNfHy81qxZozfeeEPly5dXcnKyJKlixYoqW7asDh48qNWrV6t9+/aqXLmydu/erYSEBLVs2VINGjTwSgMAAAAA4FGwef/99yVd+RLOqyUkJKhXr14qXbq0EhMTtXDhQl24cEG33nqr7rzzTg0bNqzwKgYAAACAa3gUbHbv3n3D52+99VYtXry4QAUBAAAAgKcK9D02AAAAAFAUEGwAAAAAGI9gAwAAAMB4BBsAAAAAxiPYAAAAADAewQYAAACA8Qg2AAAAAIxHsAEAAABgPIINAAAAAOMRbAAAAAAYj2ADAAAAwHgEGwAAAADGI9gAAAAAMB7BBgAAAIDxCDYAAAAAjEewAQAAAGA8gg0AAAAA4xFsAAAAABiPYAMAAADAeAQbAAAAAMYj2AAAAAAwHsEGAAAAgPEINgAAAACMR7ABAAAAYDyCDQDAOEuWLFHHjh0VHh6u2NhYbd++/Ybzv/vuu+rSpYsiIiLUvn17vfLKK7p06ZKPqgUA+ALBBgBglLVr1yohIUHDhw/XypUr1aBBA8XFxSklJSXX+VevXq0pU6ZoxIgRWrt2rV5++WWtXbtWr732mo8rBwB4E8EGAGCU+fPnq0+fPurdu7fq16+v+Ph4lS1bVsuXL891/i1btqhZs2bq0aOHatWqpZiYGHXv3v2mZ3kAAGYp5e8CAADIq4yMDO3cuVOPP/64a5rdbld0dLS2bNmS6zJRUVH617/+pe3btysiIkJJSUn64osvdO+993o8vs2W79L9Lrt2k3soiJLef1Hhr+1f0ve/yf17UjPBBgBgjNTUVGVlZSk4ONhtenBwsPbu3ZvrMj169FBqaqoefPBBWZaly5cv64EHHtATTzzh8fjBwRXzVXdRUhx6KIiS3r8/BQWV93cJJX7/F/f+CTYAgGLt22+/1ezZs/Xiiy8qIiJCBw8e1Msvv6xZs2Zp+PDhHq0rJeWcLMtLhXqZzXblRY3JPRRESe7f4bAXiVCRmnpeWVlOv4xdkve/ZHb/2bXnBcEGAGCMoKAgORyOHDcKSElJUdWqVXNdZtq0abrnnnsUGxsrSQoLC9OFCxf0wgsvaOjQobLb8/5xU8uScS8KrlUceiiIkt6/v/l725f0/V/c++fmAQAAYwQEBKhx48ZKTEx0TXM6nUpMTFRUVFSuy1y8eDFHeHE4HJIkqzgf4QGghOGMDQDAKI888ojGjRunJk2aKCIiQgsWLFB6erp69eolSRo7dqyqV6+uMWPGSJI6dOig+fPnq1GjRq5L0aZNm6YOHTq4Ag4AwHwEGwCAUbp27apTp05p+vTpSk5OVsOGDTV37lzXpWhHjx51O0MzdOhQ2Ww2TZ06VcePH1eVKlXUoUMHPfXUU/5qAQDgBQQbAIBxBgwYoAEDBuT63KJFi9welypVSiNGjNCIESN8URoAwE/4jA0AAAAA4xFsAAAAABiPYAMAAADAeAQbAAAAAMYj2AAAAAAwHsEGAAAAgPEINgAAAACMR7ABAAAAYDyCDQAAAADjEWwAAAAAGI9gAwAAAMB4BBsAAAAAxiPYAAAAADAewQYAAACA8Qg2AAAAAIxHsAEAAABgPIINAAAAAOMRbAAAAAAYj2ADAAAAwHgEGwAAAADG8yjYzJ49W71791ZUVJTatGmjYcOGae/evW7zXLp0SfHx8WrdurWioqI0cuRInTx5slCLBgAAAICreRRsvvvuO/Xv31/Lli3T/PnzdfnyZcXFxenChQuueV555RX9+9//1tSpU7Vo0SKdOHFCI0aMKPTCAQAAACBbKU9mnjdvntvjSZMmqU2bNtq5c6datmypc+fOafny5Zo8ebLatGkj6UrQ6dq1q7Zu3arIyMhCKxwAAAAAsnkUbK517tw5SVKlSpUkSTt27FBmZqaio6Nd89SrV081a9b0ONjYbAWpLH+yx/TH2L5En8VHSehRok9/1AAAgGnyHWycTqdeeeUVNWvWTKGhoZKkkydPqnTp0goMDHSbNzg4WMnJyR6tPzi4Yn5LKzB/ju1LxbnPoKDyrn8X5z6zlYQeJfoEAADXl+9gEx8fr19++UXvvfdeYdbjkpJyTpbllVVfl8125QWFP8b2JW/26XDY3UKFv6SmnpfT6Sz2+5Of2eKlKPSZXQMAAKbJV7CZMGGCPv/8cy1evFg1atRwTa9ataoyMzN19uxZt7M2KSkpCgkJ8WgMy5LfDuz+HNuXinuf2b0V9z6lktGjRJ8AAOD6PLormmVZmjBhgj755BMtWLBAtWvXdnu+SZMmKl26tBITE13T9u7dqyNHjnDjAAAAAABe49EZm/j4eK1Zs0ZvvPGGypcv7/rcTMWKFVW2bFlVrFhRvXv31qRJk1SpUiVVqFBBL730kqKiogg2AAAAALzGo2Dz/vvvS5Ieeught+kJCQnq1auXJOnPf/6z7Ha7Ro0apYyMDMXExOjFF18spHIBAAAAICePgs3u3btvOk+ZMmX04osvEmYAAAAA+IxHn7EBAAAAgKKIYAMAAADAeAQbAAAAAMYj2AAAAAAwHsEGAAAAgPEINgAAAACMR7ABAAAAYDyCDQAAAADjEWwAAAAAGI9gAwAAAMB4BBsAAAAAxiPYAAAAADAewQYAAACA8Qg2AAAAAIxHsAEAAABgPIINAAAAAOMRbAAAAAAYj2ADAAAAwHgEGwAAAADGI9gAAAAAMB7BBgAAAIDxCDYAAAAAjEewAQAAAGA8gg0AAAAA4xFsAAAAABiPYAMAAADAeAQbAAAAAMYj2AAAAAAwHsEGAAAAgPEINgAAAACMR7ABAAAAYDyCDQDAOEuWLFHHjh0VHh6u2NhYbd++/Ybznz17VvHx8YqJiVGTJk3UpUsXffHFFz6qFgDgC6X8XQAAAJ5Yu3atEhISFB8fr6ZNm2rBggWKi4vT+vXrFRwcnGP+jIwMPfLIIwoODta0adNUvXp1HTlyRIGBgX6oHgDgLQQbAIBR5s+frz59+qh3796SpPj4eH3++edavny5HnvssRzzL1++XGfOnNHSpUtVunRpSVKtWrV8WjMAwPsINgAAY2RkZGjnzp16/PHHXdPsdruio6O1ZcuWXJf57LPPFBkZqQkTJujTTz9VlSpV1L17dw0ZMkQOh8Oj8W22ApXvV9m1m9xDQZT0/osKf23/kr7/Te7fk5oJNgAAY6SmpiorKyvHJWfBwcHau3dvrsskJSXpm2++UY8ePTRnzhwdPHhQ8fHxunz5skaMGOHR+MHBFfNde1FRHHooiJLevz8FBZX3dwklfv8X9/4JNgCAYs2yLAUHB2vixIlyOBxq0qSJjh8/rnnz5nkcbFJSzsmyvFSol9lsV17UmNxDQZTk/h0Oe5EIFamp55WV5fTL2CV5/0tm959de14QbAAAxggKCpLD4VBKSorb9JSUFFWtWjXXZUJCQlSqVCm3y87q1q2r5ORkZWRkKCAgIM/jW5aMe1FwreLQQ0GU9P79zd/bvqTv/+LeP7d7BgAYIyAgQI0bN1ZiYqJrmtPpVGJioqKionJdplmzZjp48KCczv97p3j//v0KCQnxKNQAAIo2gg0AwCiPPPKIli1bppUrV+rXX3/V+PHjlZ6erl69ekmSxo4dqylTprjm79evn06fPq2XX35Z+/bt0+eff67Zs2erf//+/moBAOAFXIoGADBK165dderUKU2fPl3Jyclq2LCh5s6d67oU7ejRo7Lb/+99u1tvvVXz5s1TQkKC7rnnHlWvXl0DBw7UkCFD/NUCAMALCDYAAOMMGDBAAwYMyPW5RYsW5ZgWFRWlZcuWebssAIAfcSkaAAAAAOMRbAAAAAAYj2ADAAAAwHgEGwAAAADGI9gAAAAAMB7BBgAAAIDxCDYAAAAAjEewAQAAAGA8gg0AAAAA4xFsAAAAABiPYAMAAADAeAQbAAAAAMbzONh8//33euKJJxQTE6OwsDBt3LjR7fnnnntOYWFhbv/FxcUVWsEAAAAAcK1Sni5w4cIFhYWFqXfv3hoxYkSu87Rr104JCQmuxwEBAfmvEAAAAABuwuNg0759e7Vv3/6G8wQEBCgkJCTfRQEAAACAJzwONnnx3XffqU2bNgoMDNTvfvc7PfnkkwoKCvLGUAAAAABQ+MGmXbt26ty5s2rVqqWkpCS99tprGjJkiD744AM5HI48r8dmK+zK8j6mP8b2JfosPkpCjxJ9+qMGAABMU+jBplu3bq5/Z988oFOnTq6zOHkVHFyxsEszYmxfKs59BgWVd/27OPeZrST0KNEnAAC4Pq9cina12rVrKygoSAcOHPAo2KSknJNlebGwXNhsV15Q+GNsX/Jmnw6H3S1U+Etq6nk5nc5ivz/5mS1eikKf2TUAAGAarwebY8eO6fTp0x7fTMCy5LcDuz/H9qXi3md2b8W9T6lk9CjRJwAAuD6Pg8358+d18OBB1+NDhw5p165dqlSpkipVqqSZM2eqS5cuqlq1qpKSkvT3v/9dt912m9q1a1eohQMAAABANo+DzY4dOzRw4EDX4+zvq+nZs6fGjx+vn3/+WatWrdK5c+dUrVo1tW3bVqNHj+a7bAAAAAB4jcfBpnXr1tq9e/d1n583b16BCgIAAAAAT9n9XQAAAAAAFBTBBgAAAIDxCDYAAAAAjEewAQAAAGA8gg0AAAAA4xFsAAAAABjP49s9AyZwOOy5/tsXnE5LTidfGw8AAOBLBBsUKyEVyijLaSkw8BbXtKCg8j6t4XKWU2dOXyDcAAAA+BDBBsVK4C2l5LDbNHrpFu05kebz8etXq6BpD0TJbrcRbAAAAHyIYINiac+JNO08ctbfZQAAAMBHuHkAAAAAAOMRbAAAAAAYj2ADAAAAwHgEGwAAAADGI9gAAAAAMB7BBgAAAIDxCDYAAAAAjEewAQAAAGA8gg0AAAAA4xFsAAAAABiPYAMAAADAeAQbAAAAAMYj2AAAAAAwHsEGAAAAgPEINgAAAACMR7ABAAAAYDyCDQAAAADjEWwAAAAAGI9gAwAAAMB4BBsAAAAAxiPYAAAAADAewQYAAACA8Qg2AAAAAIxHsAEAAABgPIINAAAAAOMRbAAAAAAYj2ADAAAAwHgEGwAAAADGI9gAAAAAMB7BBgBgnCVLlqhjx44KDw9XbGystm/fnqflPvroI4WFhWnYsGFerhAA4GsEGwCAUdauXauEhAQNHz5cK1euVIMGDRQXF6eUlJQbLnfo0CG9+uqratGihY8qBQD4EsEGAGCU+fPnq0+fPurdu7fq16+v+Ph4lS1bVsuXL7/uMllZWXrmmWc0cuRI1a5d24fVAgB8hWADADBGRkaGdu7cqejoaNc0u92u6Ohobdmy5brLzZo1S8HBwYqNjfVFmQAAPyjl7wIAAMir1NRUZWVlKTg42G16cHCw9u7dm+symzdv1ocffqhVq1YVeHybrcCr8Jvs2k3uoSBKev9Fhb+2f0nf/yb370nNBBsAQLGVlpamsWPHauLEiapSpUqB1xccXLEQqvKv4tBDQZT0/v0pKKi8v0so8fu/uPdPsAEAGCMoKEgOhyPHjQJSUlJUtWrVHPMnJSXp8OHDGjp0qGua0+mUJDVq1Ejr169XnTp18jx+Sso5WVY+i/czm+3KixqTeyiIkty/w2EvEqEiNfW8srKcfhm7JO9/yez+s2vPC4INAMAYAQEBaty4sRITE9WpUydJV4JKYmKiBgwYkGP+unXravXq1W7Tpk6dqvPnz+v5559XjRo1PBrfsmTci4JrFYceCqKk9+9v/t72JX3/F/f+CTYAAKM88sgjGjdunJo0aaKIiAgtWLBA6enp6tWrlyRp7Nixql69usaMGaMyZcooNDTUbfnAwEBJyjEdAGA2gg0AwChdu3bVqVOnNH36dCUnJ6thw4aaO3eu61K0o0ePym7npp8AUNIQbAAAxhkwYECul55J0qJFi2647KRJk7xREgDAz3hLCwAAAIDxCDYAAAAAjEewAQAAAGA8gg0AAAAA4xFsAAAAABjP42Dz/fff64knnlBMTIzCwsK0ceNGt+cty9K0adMUExOjiIgIDRo0SPv37y+segEAAAAgB4+DzYULFxQWFqYXX3wx1+fffvttLVq0SOPHj9eyZct0yy23KC4uTpcuXSpwsQAAAACQG4+/x6Z9+/Zq3759rs9ZlqWFCxdq6NCh6tSpkyTpb3/7m6Kjo7Vx40Z169atYNUCAAAAQC4K9Qs6Dx06pOTkZEVHR7umVaxYUU2bNtWWLVs8CjY2W2FW5tmY/hjbl0pKn/7mi+1bUvYlffq+BgAATFOowSY5OVmSFBwc7DY9ODhYJ0+e9GhdwcEVC60uT/lzbF8qKX36Q1BQeZ+OV1L2JX0CAIDrKdRgU5hSUs7Jsnw7ps125QWFP8b2JW/26XDYff6ivihKTT2vrCyn18fhZ7Z4KQp9ZtcAAIBpCjXYhISESJJSUlJUrVo11/SUlBQ1aNDAo3VZlvx2YPfn2L5UUvr0F19u25KyL+kTAABcT6F+j02tWrUUEhKixMRE17S0tDRt27ZNUVFRhTkUAAAAALh4fMbm/PnzOnjwoOvxoUOHtGvXLlWqVEk1a9bUwIED9eabb+q2225TrVq1NG3aNFWrVs11lzQAAAAAKGweB5sdO3Zo4MCBrscJCQmSpJ49e2rSpEkaMmSI0tPT9cILL+js2bNq3ry55s6dqzJlyhRe1QAAAABwFY+DTevWrbV79+7rPm+z2TR69GiNHj26QIUBAAAAQF4V6mdsAAAAAMAfCDYAAAAAjEewAQAAAGA8gg0AAAAA4xFsAAAAABiPYAMAAADAeAQbAAAAAMYj2AAAAAAwHsEGAAAAgPEINgAAAACMR7ABAAAAYDyCDQAAAADjEWwAAAAAGI9gAwAAAMB4BBsAAAAAxiPYAAAAADAewQYAAACA8Qg2AAAAAIxHsAEAAABgPIINAAAAAOMRbAAAAAAYj2ADAAAAwHgEGwAAAADGI9gAAAAAMB7BBgAAAIDxCDYAAAAAjEewAQAAAGA8gg0AAAAA4xFsAAAAABiPYAMAAADAeAQbAAAAAMYj2AAAAAAwXil/F4DCZ7fbZLfbbjqfw1H4udYb6wQAAABuhmBTzNjtNlWqXE6l8hAwgoLK+6AiAAAAwPsINsWM3W5TKYddo5du0Z4TaT4f/w9hIXq2SwOfjwsAAICSjWBTTO05kaadR876fNx6IZwFAgAAgO/xgQgAAAAAxiPYAAAAADAewQYAAACA8Qg2AAAAAIxHsAEAAABgPIINAAAAAOMRbAAAAAAYj2ADAAAAwHgEGwAAAADGK+XvAoDiyOHw7XsG147ndFpyOi2f1gAAAOBPBBugEIVUKKMsp6XAwFt8Om5QUHm3x5eznDpz+gLhBgAAlBgEG6AQBd5SSg67TaOXbtGeE2l+qaF+tQqa9kCU7HYbwQbF1pIlSzRv3jwlJyerQYMG+utf/6qIiIhc5122bJlWrVqlX375RZLUuHFjPf3009edHwBgJoIN4AV7TqRp55Gz/i4DKJbWrl2rhIQExcfHq2nTplqwYIHi4uK0fv16BQcH55j/22+/Vbdu3dSsWTMFBARo7ty5evTRR/XRRx+pevXqfugAAOAN3DwAAGCU+fPnq0+fPurdu7fq16+v+Ph4lS1bVsuXL891/ilTpqh///5q2LCh6tWrp5deeklOp1OJiYk+rhwA4E2csQEAGCMjI0M7d+7U448/7ppmt9sVHR2tLVu25Gkd6enpunz5sipVquTx+Dabx4sUGdm1m9xDQZT0/osKf23/kr7/Te7fk5oJNgAAY6SmpiorKyvHJWfBwcHau3dvntYxefJkVatWTdHR0R6PHxxc0eNlipri0ENBlPT+/enaG934Q0nf/8W9f4INAKDEmDNnjtauXauFCxeqTJkyHi+fknJOlqH35LDZrryoMbmHgijJ/Tsc9iIRKlJTzysry+mXsUvy/pfM7j+79rwg2AAAjBEUFCSHw6GUlBS36SkpKapateoNl503b57mzJmj+fPnq0GDBvka37Jk3IuCaxWHHgqipPfvb/7e9iV9/xf3/gv95gEzZsxQWFiY23933XVXYQ8DACiBAgIC1LhxY7cP/mffCCAqKuq6y7399tt64403NHfuXIWHh/uiVACAj3nljM1vf/tbzZ8/3/XY4XB4YxgAQAn0yCOPaNy4cWrSpIkiIiK0YMECpaenq1evXpKksWPHqnr16hozZoykK5efTZ8+XVOmTNFvfvMbJScnS5LKlSun8uX9f3kOAKBweCXYOBwOhYSEeGPVAIASrmvXrjp16pSmT5+u5ORkNWzYUHPnznVdinb06FHZ7f93QcLSpUuVmZmpUaNGua1nxIgRGjlypE9rBwB4j1eCzYEDBxQTE6MyZcooMjJSY8aMUc2aNb0xFACgBBowYIAGDBiQ63OLFi1ye/zZZ5/5oiQAgJ8VerCJiIhQQkKC7rjjDiUnJ2vWrFnq37+/Vq9erQoVKuR5Pf64z7bJ9/gGclNcfpZN+920222y5aPY7EVKlbIX6MOdlmXJ6czfCkzZxgAAXKvQg0379u1d/27QoIGaNm2qDh06aN26dYqNjc3zevx5n+3ifo9vlAxF4daehc2U380spyWHPf8JoXLlgu27go4PAICJvH6758DAQN1+++06ePCgR8v54z7bJt/jO1tRuVc9/M+f3xdQ2Ez63cz+HRy9dIv2nEjz+fj1q1XQtAei8r3/Pfm+AAAAihKvB5vz588rKSnJ45sJ+PM+28X9Ht8oOYrbz7FJv5t7TqRp55Gzfq3BlG0FAEBhKPRg8+qrr6pDhw6qWbOmTpw4oRkzZshut6t79+6FPRQAAAAASPJCsDl27JiefvppnT59WlWqVFHz5s21bNkyValSpbCHAgAAAABJXgg2r7/+emGvEgAAAABuyH7zWQAAAACgaCPYAAAAADAewQYAAACA8Qg2AAAAAIxHsAEAAABgPIINAAAAAOMRbAAAAAAYj2ADAAAAwHgEGwAAAADGI9gAAAAAMB7BBgAAAIDxCDYAAAAAjEewAQAAAGA8gg0AAAAA4xFsAAAAABiPYAMAAADAeAQbAAAAAMYj2AAAAAAwHsEGAAAAgPEINgAAAACMR7ABAAAAYDyCDQAAAADjEWwAAAAAGI9gAwAAAMB4BBsAAAAAxiPYAAAAADAewQYAAACA8Qg2AAAAAIxHsAEAAABgPIINAAAAAOMRbAAAAAAYj2ADAAAAwHil/F2AN9jtNtnttnwv73AULO85nZacTqtA6wAKqqA/xwXB7wAAAPC1Yhds7HabKlUup1IFeFEXFFS+QDVcznLqzOkLvLCDX4RUKKMsp6XAwFv8VgO/AwAAwNeKZbAp5bBr9NIt2nMizefj169WQdMeiJLdbuNFHfwi8JZSctht/A4AAIASpdgFm2x7TqRp55Gz/i4D8Bt+BwAAQEnCzQMAAAAAGI9gAwAAAMB4BBsAAAAAxiPYAAAAADAewQYAAACA8Qg2AAAAAIxHsAEAAABgPIINAAAAAOMRbAAAAAAYj2ADAAAAwHgEGwAAAADGI9gAAAAAMB7BBgAAAIDxCDYAAAAAjEewAQAAAGA8gg0AAAAA4xFsAAAAABiPYAMAAADAeAQbAAAAAMbzWrBZsmSJOnbsqPDwcMXGxmr79u3eGgoAUMJ4eoxZt26d7rrrLoWHh6tHjx764osvfFQpAMBXvBJs1q5dq4SEBA0fPlwrV65UgwYNFBcXp5SUFG8MBwAoQTw9xvz3v//VmDFjdP/992vVqlX64x//qOHDh+vnn3/2ceUAAG/ySrCZP3+++vTpo969e6t+/fqKj49X2bJltXz5cm8MBwAoQTw9xixcuFDt2rXT4MGDVa9ePT355JNq1KiRFi9e7OPKAQDeVKqwV5iRkaGdO3fq8ccfd02z2+2Kjo7Wli1b8rweu12yrPzX0bhmoG4JcOR/BflUt2p5SZLD4Z+PL2WP66/+64VUYHw/jl8UavDG74DNduX/pUrZ8/R3wbL+bxlf8/fvYPb2l678HfWUv7ZbXuXnGLN161YNGjTIbVpMTIw2btzo8fgFOTbZbDbZisAGzuvvUWHz5+/l1Upi/0Xl75K/XhtdrSTu/6v5r39LVj4H9mS7FXqwSU1NVVZWloKDg92mBwcHa+/evXleT5UqFQtUx9/ub1qg5QsqMPAWv47v7/4Z37/jF4UavPE7ULly+ZvPVET4e/sHBZmzrTyRn2PMyZMnVbVq1Rzznzx50uPxC3psKgpM+j3yhpLcv7//Lvn7tZFUsve/VPz79390BgAAAIACKvRgExQUJIfDkeNDnCkpKTneMQMAwBP5OcZUrVo1x9kZjkkAUPwUerAJCAhQ48aNlZiY6JrmdDqVmJioqKiowh4OAFCC5OcYExkZqW+++cZt2tdff63IyEhvlgoA8DGvXIr2yCOPaNmyZVq5cqV+/fVXjR8/Xunp6erVq5c3hgMAlCA3O8aMHTtWU6ZMcc0/cOBAbdq0Se+8845+/fVXzZgxQzt27NCAAQP81QIAwAsK/eYBktS1a1edOnVK06dPV3Jysho2bKi5c+dy2h8AUGA3O8YcPXpU9qtuCdesWTNNnjxZU6dO1Wuvvabbb79ds2bNUmhoqL9aAAB4gc3K773XAAAAAKCI4K5oAAAAAIxHsAEAAABgPIINAAAAAOMRbAAAAAAYr8QHm9OnT2vMmDFq1qyZWrRooT//+c86f/58npa1LEuDBw9WWFiYNm7c6OVK88/THk+fPq2JEyeqS5cuioiI0B/+8Ae99NJLOnfunA+rzpslS5aoY8eOCg8PV2xsrLZv337D+detW6e77rpL4eHh6tGjh7744gsfVZp/nvS4bNkyPfjgg2rZsqVatmypQYMG3XSbFBWe7stsH330kcLCwjRs2DAvV1g4PO3z7Nmzio+PV0xMjJo0aaIuXboY8XML/3vzzTf1wAMPqGnTpmrRooXHy7/wwgsKCwvTu+++W/jF+YCn/WdmZurvf/+7evToocjISMXExGjs2LE6fvy4D6otfPnZ/5Zladq0aYqJiVFERIQGDRqk/fv3e7dQL8nP67vk5GQ9++yzatu2rSIjI9WzZ09t2LDBRxUXvvy+xt2yZYsGDhyoyMhINWvWTP3799fFixd9UHHBlfhg88wzz2jPnj2aP3++3nrrLW3evFkvvPBCnpZdsGCBbDablyssOE97PHHihE6cOKFx48ZpzZo1SkhI0KZNm/T888/7sOqbW7t2rRISEjR8+HCtXLlSDRo0UFxcXI5vJM/23//+V2PGjNH999+vVatW6Y9//KOGDx+un3/+2ceV552nPX777bfq1q2bFi5cqKVLl+rWW2/Vo48+WuQPzJ72me3QoUN69dVX8/WizR887TMjI0OPPPKIDh8+rGnTpmn9+vWaOHGiqlev7uPKYaLMzEzddddd6tevn8fLfvLJJ9q2bZuqVavmhcp8w9P+L168qB9//FFDhw7VihUrNHPmTO3bt09Dhw71cqXekZ/9//bbb2vRokUaP368li1bpltuuUVxcXG6dOmSFyv1jvy8vhs3bpz27dunN998U6tXr1bnzp315JNP6scff/RR1YUrP9tgy5YtGjx4sGJiYvSPf/xDH374ofr37+92C/0izSrB9uzZY4WGhlrbt293Tfviiy+ssLAw69ixYzdc9scff7TatWtnnThxwgoNDbU++eQTb5ebLwXp8Wpr1661GjdubGVmZnqjzHy5//77rfj4eNfjrKwsKyYmxpo9e3au848ePdp67LHH3KbFxsZaf/3rX71aZ0F42uO1Ll++bEVFRVkrV670UoWFIz99Xr582erbt6+1bNkya9y4cdbQoUN9UWqBeNrne++9Z/3xj3+0MjIyfFUiiqHly5dbzZs3z/P8x44ds9q1a2f9/PPPVocOHaz58+d7rzgf8LT/q23bts0KDQ21Dh8+XMhV+U5e+3c6nVbbtm2tuXPnuqadPXvWatKkibVmzRpvlljo8vvaJzIyMsfxslWrVtayZcu8VarX5HcbxMbGWq+//roPKvQOQ+KXd2zZskWBgYEKDw93TYuOjpbdbr/h5SHp6ekaM2aMXnjhBYWEhPii1HzLb4/XSktLU4UKFVSqlFe+09VjGRkZ2rlzp6Kjo13T7Ha7oqOjtWXLllyX2bp1q9q0aeM2LSYmRlu3bvVmqfmWnx6vlZ6ersuXL6tSpUreKrPA8tvnrFmzFBwcrNjYWF+UWWD56fOzzz5TZGSkJkyYoOjoaHXv3l1vvfWWsrKyfFU2Shin06lnn31WcXFx+u1vf+vvcvwuLS1NNptNgYGB/i7F6w4dOqTk5GS3v1EVK1ZU06ZN83zMKSry+9onKipK69at0+nTp+V0OvXRRx/p0qVLatWqlS/KLlT52QYpKSnatm2bgoOD9cADDyg6OloDBgzQ5s2bfVV2gZXoYHPy5ElVqVLFbVqpUqVUqVIlJScnX3e5hIQERUVFqVOnTt4uscDy2+PVTp06pTfeeEN9+/b1Ron5kpqaqqysLAUHB7tNDw4O1smTJ3Nd5uTJk65vJs/L/P6Wnx6vNXnyZFWrVs3tQFXU5KfPzZs368MPP9TEiRN9UWKhyE+fSUlJ2rBhg7KysjRnzhwNGzZM8+fP15tvvumLklECvf322ypVqpQGDhzo71L87tKlS5o8ebK6deumChUq+Lscr8t+TVCQY05Rkd/XPlOnTtXly5fVunVrhYeH64UXXtDMmTN12223ebvkQpefbZCUlCRJmjlzpmJjYzV37lw1atTIqM9aFY233wvZ5MmT9fbbb99wnrVr1+Zr3Z9++qm++eYbrVy5Ml/LFxZv9ni1tLQ0Pf7446pXr55GjBhR4PXBd+bMmaO1a9dq4cKFKlOmjL/LKTRpaWkaO3asJk6cmOOPdnFjWZaCg4M1ceJEORwONWnSRMePH9e8efP4fSyh8vq3v169eh6ve8eOHVq4cKFWrFhRZD8/6s3+r5aZmanRo0fLsizFx8cXaF2FyVf9F1Xefu0zbdo0nT17Vu+++66CgoK0ceNGPfnkk1qyZInCwsLyvd7C5M1t4HQ6JUl9+/ZV7969JUmNGjVSYmKili9frjFjxuRrvb5ULIPNo48+qp49e95wntq1a6tq1ao6deqU2/TLly/rzJkz173E7JtvvtHBgwfVsmVLt+kjR45UixYttGjRooIVn0fe7DFbWlqaBg8erPLly2vWrFkqXbp0gesuLEFBQXI4HDk+dJ2SkpLjrEy2qlWr5njX6Ubz+1t+esw2b948zZkzR/Pnz1eDBg28WWaBedpnUlKSDh8+7PaB3uw/xo0aNdL69etVp04d7xadD/nZnyEhISpVqpQcDodrWt26dZWcnKyMjAwFBAR4tWYUPXn9258fmzdvVkpKijp06OCalpWVpVdffVULFy7UZ599lq/1FiZv9p8tMzNTTz75pI4cOaIFCxYUqbM13uw/+zVBSkqK200jUlJSisxxxJuvfQ4ePKjFixdrzZo1rsswGzRooM2bN2vJkiWaMGFC4TRRQN7cBtnTrw3G9erV05EjRwpQte8Uy2BTpUqVPL2TGxUVpbNnz2rHjh1q0qSJpCvBxel0KiIiItdlHnvssRzX9Pfo0UN/+tOf3A4G3ubNHqUroSYuLk4BAQF68803i9w7/gEBAWrcuLESExNdlwQ6nU4lJiZqwIABuS4TGRmpb775RoMGDXJN+/rrrxUZGemDij2Xnx6lK5eSvPXWW5o3b57btbVFlad91q1bV6tXr3abNnXqVJ0/f17PP/+8atSo4ZO6PZWf/dmsWTOtWbNGTqfTdUea/fv3KyQkhFBTQuX1b39+3HvvvTkuW42Li9O9996rXr16eWVMT3mzf+n/Qs2BAwe0cOFCBQUFeW2s/PBm/7Vq1VJISIgSExPVsGFDSVdeC2zbti1fd9bzBm++9klPT5ekHHf/cjgcsiyrgJUXHm9ug1q1aqlatWrat2+f2/T9+/fr97//fcGL9wU/37zA7+Li4qz77rvP2rZtm7V582brzjvvtJ5++mnX88eOHbO6dOlibdu27brrKMp3RbMsz3s8d+6cFRsba3Xv3t06cOCAdeLECdd/ly9f9lcbOXz00UdWkyZNrBUrVlh79uyx/vrXv1otWrSwkpOTLcuyrGeffdaaPHmya/4ffvjBatSokTVv3jxrz5491vTp063GjRtbu3fv9lcLN+Vpj7Nnz7YaN25srV+/3m2/paWl+auFPPG0z2uZclc0T/s8cuSIFRUVZU2YMMHau3ev9e9//9tq06aN9cYbb/irBRjk8OHD1o8//mjNmDHDioyMtH788Ufrxx9/dPt70KVLF+vjjz++7jpMviuap/1nZGRYTzzxhPX73//e2rVrl9vf0EuXLvmrjXzLz/6fPXu21aJFC2vjxo3WTz/9ZA0dOtTq2LGjdfHiRX+0UCCevvbJyMiwOnfubD344IPWtm3brAMHDljz5s2zwsLCrM8//9xfbRRIfl7jzp8/32rWrJm1bt06a//+/dbrr79uhYeHWwcOHPBHCx4rlmdsPDF58mRNnDhRDz/8sOx2u+6880795S9/cT2fmZmpffv2uZK8iTztcefOndq2bZskqXPnzm7r+vTTT1WrVi3fFX8DXbt21alTpzR9+nQlJyerYcOGmjt3ruuynqNHj7q989KsWTNNnjxZU6dO1Wuvvabbb79ds2bNUmhoqL9auClPe1y6dKkyMzM1atQot/WMGDFCI0eO9GntnvC0T1N52uett96qefPmKSEhQffcc4+qV6+ugQMHasiQIf5qAQaZPn262+dB77vvPknSwoUL1bp1a0nSvn37iuSXLxcGT/s/fvy463K7e++9121dVy9jivzs/yFDhig9PV0vvPCCzp49q+bNm2vu3LlF7qqNvPD0tU/p0qU1Z84cTZkyRU888YQuXLigOnXqaNKkSWrfvr2/2iiQ/LzGHTRokDIyMpSQkKAzZ86oQYMGeuedd4rkJd65sVlWETq/BgAAAAD5YP5boAAAAABKPIINAAAAAOMRbAAAAAAYj2ADAAAAwHgEGwAAAADGI9gAAAAAMB7BBgAAAIDxCDYAAAAAjEewAQAAAGA8gg0AAAAA4xFsAAAAABiPYAMAAADAeP8P9Ua3ufWDPd4AAAAASUVORK5CYII="
},
"metadata": {},
"output_type": "display_data"
},
{
"data": {
"text/plain": "<Figure size 500x500 with 2 Axes>",
"image/png": 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"
},
"metadata": {},
"output_type": "display_data"
},
{
"data": {
"text/plain": "<Figure size 640x480 with 1 Axes>",
"image/png": 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"
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"from sklearn.metrics import confusion_matrix, classification_report, roc_curve, auc\n",
"import seaborn as sns\n",
"import numpy as np\n",
"\n",
"# Predict the probabilities for the test data\n",
"y_pred = model.predict(X_test)\n",
"\n",
"# Convert the predicted probabilities to binary outputs\n",
"y_pred_classes = (y_pred > 0.5).astype(\"int32\")\n",
"\n",
"# Print the testing loss and accuracy\n",
"test_loss, test_acc = model.evaluate(X_test, y_test, verbose=0)\n",
"print('Test loss:', test_loss)\n",
"print('Test accuracy:', test_acc)\n",
"\n",
"# Print the classification report\n",
"report = classification_report(y_test, y_pred_classes)\n",
"print('Classification Report: \\n', report)\n",
"\n",
"# 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",
"\n",
"# 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()\n",
"\n",
"# 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()"
],
"metadata": {
"collapsed": false,
"ExecuteTime": {
"end_time": "2024-03-18T15:58:03.057598Z",
"start_time": "2024-03-18T15:58:00.205114Z"
}
},
"id": "477d3b46cceda926",
"execution_count": 103
},
{
"cell_type": "code",
"outputs": [
{
"data": {
"image/png": 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",
"text/plain": "<IPython.core.display.Image object>"
},
"execution_count": 87,
"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"
],
"metadata": {
"collapsed": false,
"ExecuteTime": {
"end_time": "2024-03-18T15:18:11.267954Z",
"start_time": "2024-03-18T15:18:11.152659Z"
}
},
"id": "81f2d793ada5c410",
"execution_count": 87
},
{
"cell_type": "code",
"outputs": [],
"source": [
"# Save the model\n",
"model.save('CNN.keras')"
],
"metadata": {
"collapsed": false,
"ExecuteTime": {
"end_time": "2024-03-18T15:18:11.363950Z",
"start_time": "2024-03-18T15:18:11.270650Z"
}
},
"id": "6b7329b28452b82a",
"execution_count": 88
},
{
"cell_type": "markdown",
"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. **Data Preparation**: The target column 'NLOS' is separated from the rest of the dataset. The remaining data is assigned to X and the target column to y.\n",
"\n",
"2. **Data Splitting**: The data is split into training and testing sets using an 80:20 ratio.\n",
"\n",
"3. **Data Scaling**: A StandardScaler object is initialized and fitted to the training data. The training and testing data are then transformed using the fitted scaler.\n",
"\n",
"4. **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",
"5. **Model Compilation**: The model is compiled with the Adam optimizer, binary cross-entropy loss function, and accuracy as the evaluation metric.\n",
"\n",
"6. **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",
"7. **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",
"8. **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."
],
"metadata": {
"collapsed": false
},
"id": "42eff9445377f73c"
},
{
"cell_type": "code",
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"Epoch 1/20\n",
"1050/1050 [==============================] - 4s 3ms/step - loss: 1.1063 - accuracy: 0.5219 - val_loss: 0.8669 - val_accuracy: 0.5713\n",
"Epoch 2/20\n",
"1050/1050 [==============================] - 2s 2ms/step - loss: 0.9910 - accuracy: 0.5454 - val_loss: 0.8163 - val_accuracy: 0.6435\n",
"Epoch 3/20\n",
"1050/1050 [==============================] - 2s 2ms/step - loss: 0.8949 - accuracy: 0.5881 - val_loss: 0.7528 - val_accuracy: 0.7183\n",
"Epoch 4/20\n",
"1050/1050 [==============================] - 2s 2ms/step - loss: 0.8238 - accuracy: 0.6398 - val_loss: 0.7038 - val_accuracy: 0.7498\n",
"Epoch 5/20\n",
"1050/1050 [==============================] - 3s 2ms/step - loss: 0.7591 - accuracy: 0.6916 - val_loss: 0.6595 - val_accuracy: 0.7792\n",
"Epoch 6/20\n",
"1050/1050 [==============================] - 2s 2ms/step - loss: 0.7103 - accuracy: 0.7302 - val_loss: 0.6219 - val_accuracy: 0.7935\n",
"Epoch 7/20\n",
"1050/1050 [==============================] - 3s 2ms/step - loss: 0.6689 - accuracy: 0.7583 - val_loss: 0.5939 - val_accuracy: 0.8044\n",
"Epoch 8/20\n",
"1050/1050 [==============================] - 3s 2ms/step - loss: 0.6351 - accuracy: 0.7791 - val_loss: 0.5740 - val_accuracy: 0.8083\n",
"Epoch 9/20\n",
"1050/1050 [==============================] - 3s 2ms/step - loss: 0.6102 - accuracy: 0.7932 - val_loss: 0.5532 - val_accuracy: 0.8198\n",
"Epoch 10/20\n",
"1050/1050 [==============================] - 3s 3ms/step - loss: 0.5856 - accuracy: 0.8075 - val_loss: 0.5373 - val_accuracy: 0.8232\n",
"Epoch 11/20\n",
"1050/1050 [==============================] - 3s 2ms/step - loss: 0.5709 - accuracy: 0.8113 - val_loss: 0.5239 - val_accuracy: 0.8274\n",
"Epoch 12/20\n",
"1050/1050 [==============================] - 3s 3ms/step - loss: 0.5561 - accuracy: 0.8175 - val_loss: 0.5107 - val_accuracy: 0.8337\n",
"Epoch 13/20\n",
"1050/1050 [==============================] - 3s 2ms/step - loss: 0.5394 - accuracy: 0.8256 - val_loss: 0.5022 - val_accuracy: 0.8326\n",
"Epoch 14/20\n",
"1050/1050 [==============================] - 2s 2ms/step - loss: 0.5235 - accuracy: 0.8296 - val_loss: 0.4916 - val_accuracy: 0.8373\n",
"Epoch 15/20\n",
"1050/1050 [==============================] - 2s 2ms/step - loss: 0.5107 - accuracy: 0.8347 - val_loss: 0.4857 - val_accuracy: 0.8371\n",
"Epoch 16/20\n",
"1050/1050 [==============================] - 2s 2ms/step - loss: 0.5079 - accuracy: 0.8360 - val_loss: 0.4760 - val_accuracy: 0.8396\n",
"Epoch 17/20\n",
"1050/1050 [==============================] - 2s 2ms/step - loss: 0.4919 - accuracy: 0.8389 - val_loss: 0.4727 - val_accuracy: 0.8387\n",
"Epoch 18/20\n",
"1050/1050 [==============================] - 2s 2ms/step - loss: 0.4858 - accuracy: 0.8408 - val_loss: 0.4661 - val_accuracy: 0.8398\n",
"Epoch 19/20\n",
"1050/1050 [==============================] - 3s 2ms/step - loss: 0.4765 - accuracy: 0.8461 - val_loss: 0.4625 - val_accuracy: 0.8406\n",
"Epoch 20/20\n",
"1050/1050 [==============================] - 2s 2ms/step - loss: 0.4713 - accuracy: 0.8437 - val_loss: 0.4573 - val_accuracy: 0.8417\n",
"263/263 [==============================] - 0s 1ms/step\n"
]
},
{
"data": {
"text/plain": "<Figure size 640x480 with 1 Axes>",
"image/png": 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"
},
"metadata": {},
"output_type": "display_data"
},
{
"data": {
"text/plain": "<Figure size 1200x600 with 1 Axes>",
"image/png": 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bzcabb7551ZZVK+zjoiDCw8P54YcfWL58OcuWLWPZsmXMnDmTXr168fbbbwNwzTXXsHjxYn7++WdWrFjBjBkz+Prrr3nllVfyGulzqV69Otu3b8fhcPzrMnk7d+7E09Mz3xcrXbp04ZNPPiE+Pp6AgACWLl1K165d81ZOOHM89+jR41/XK//nZItX4yo6/HumF8r6Uj6TiEhxpCZdRKSE+PPPP0lMTGTcuHFcc801edv///BuM4WHh+Pt7c3BgwfPeuxc2/5p165dHDhwgLfffptevXrlbb/Q7NvnU758ef7444+zhizv37//ol6ne/fu/P777yxbtow5c+YQEBCQb0b0hQsXUrFiRcaNG5fvCuQ/J7sriHLlygFw4MABKlasmLc9Pj7+rNEFCxcupHnz5rz55pv5ticnJ+ebtO2fV0XPp3z58qxatYrU1NR8V9PP3E5Rvnz5gn+Yy1S+fHl27tyJy+XKdzX9TC1nfleQO/S/ffv2tG/fHpfLxcsvv8zUqVN56KGH8kZyhISE0LdvX/r27UtaWhpDhgzhww8/PG+TfsMNN7Bhwwbmz59/ziXMjhw5wrp162jRokW+JrpLly6MGzeORYsWERERQWpqar4h5GFhYfj7++NyuWjZsuWl/5KKkOL4mURELoXuSRcRKSHONCn//wqlw+Fg8uTJZpWUj91up2XLlvz888+cPHkyb/vBgwf5/fffL/j8c30+t9vNN998c8k1tWnThpycHL777ru8bU6nk2+//faiXqdDhw74+voyefJkli1bRqdOnfKtL33mCuP/r33Tpk1s3Ljxomtu2bIlnp6efPvtt/le7/8vJ/b/3/efV6znz5+f7/cP4OvrCxTstoY2bdrgdDqZNGlSvu1fffUVhmHkG0Je2Nq0aUNsbCzz5s3L25aTk8PEiRPx8/PL+7IqISEh3/NsNlveFVuHw3HOffz9/alUqVLe4/9m4MCBhIeH8+677541KiIrK4vnnnsOt9vNsGHD8j1WvXp1oqKimDdvHvPmzaNUqVL5vlyz2+3cdNNNLFy4kF27dp31vlYcFl4cP5OIyKXQlXQRkRKicePGBAcH8+yzzzJ06FAMw2D27NlXdVjxhQwfPpzly5dzyy23cMstt+Byufj222+pWbMmMTEx531utWrVqFSpEm+//TYnT54kICCAhQsXXta9ze3bt6dJkyaMGjWKo0ePUqNGDRYtWlTgddLP8Pf358Ybb2TOnDkA+Ya6Q+7V1kWLFjFs2DBuuOEGjhw5wpQpU6hRowbp6ekX9V5hYWHcddddTJgwgfvvv5+2bduyfft2li1bdtaSZjfccAPjx4/nueeeo3HjxuzatYuffvop3xV4gEqVKhEUFMSUKVPw9/fHz8+PBg0anLUf5P7Omjdvzvvvv8/Ro0eJjo5mxYoV/Pzzz9x+++1nrRV+uVatWkVWVtZZ2zt06MDAgQOZOnUqzz77LNu2baN8+fIsXLiQ9evX8/zzz+dd6X/xxRdJSkriuuuuIzIykmPHjvHtt99Su3btvPvXu3btyrXXXkvdunUJCQlhy5YtLFy48IKTCIaGhjJ27Fjuu+8+evfuTf/+/alevTqnT59m1qxZHDx4kBdeeOGcS9p16dKFsWPH4u3tTb9+/c66t/6JJ55g9erVDBgwgP79+1OjRg2SkpLYtm0bq1at4s8//7zUX6tpiuNnEhG5WGrSRURKiNDQUD755BPefvttPvjgA4KCgujRowctWrTg7rvvNrs8AOrVq8enn37KO++8w5gxYyhbtiwjRoxg3759F5x93tPTk08++YTXX3+dCRMm4O3tTceOHbn11lvPOcy4IGw2Gx9//DFvvvkmP/74I4Zh0L59e5599tl8Q+oLokePHsyZM4dSpUrlTf51Rp8+ffLWKF++fDk1atTg3XffZcGCBZfUlDz66KN4eXkxZcoUVq9eTYMGDfjiiy+4//778+33wAMPkJGRwU8//cS8efOoU6cOEyZMYNSoUfn28/T05K233mL06NG8/PLL5OTkMHLkyHM26Wd+Z2PHjmXevHnMnDmT8uXL8/TTT3PXXXdd9Ge5kN9///2cIy3Kly9PVFQUEydO5L333mPWrFmkpqZStWpVRo4cmW/1gx49ejBt2jQmT55McnIypUqV4uabb+bhhx/Oa4yHDh3K0qVLWbFiBQ6Hg3LlyvHoo48W6Nxp1qwZP/74IxMmTGDBggXExsYSEBBA48aNeeONN/JWSfinLl268MEHH5CRkcHNN9981uMRERFMnz6d8ePHs3jxYr777jtCQkKoUaNG3nrvVlMcP5OIyMUy3EXpEoqIiMg5PPTQQ+zZsyffklQiIiIixZHuSRcRkSIlMzMz388HDhxg2bJlXHvttSZVJCIiInL1aLi7iIgUKR06dKB3795UrFiRo0ePMmXKFDw9PbnnnnvMLk1ERESk0KlJFxGRIuX6669n7ty5xMbG4uXlRaNGjXj88cfzrSEtIiIiUlzpnnQRERERERGRIkL3pIuIiIiIiIgUEWrSRURERERERIoINekiIiIiIiIiRYSadBEREREREZEiosTO7h4Xl0JRnzLPMCA8PNAStUp+ys66lJ11KTtrU37WpeysS9lZl7KznjOZFUSJbdLdbixzQFupVslP2VmXsrMuZWdtys+6lJ11KTvrUnbFk4a7i4iIiIiIiBQRatJFREREREREigg16SIiIiIiIiJFRIm9J11EREREREoet9uNy+XE5XKZXcolMwzIzMwkO9uhe9KLELvdA5vt8q+Dq0kXEREREZESIScnm6SkeLKzM80u5bLFx9ss/UVD8WQQGloKb2/fy3oVNekiIiIiIlLsud1u4uJOYLPZCA6OwG73wDAMs8u6ZHa7gdOpy+hFhdvtJjU1iYSEWEqXrnBZV9TVpIuIiIiISLGXk5ON2+0iOLgUXl4+Zpdz2Tw8bOTk6Ep6URIQEEx8fAZOZw42m9clv44mjhMRERERkRLDMNQCSeG4UiMzdISKiIiIiIiIFBFq0kVERERERESKCDXpIiIiIiIiJUi/ft2ZNm1ygfdfv34trVs3IyUlpRCrkjM0cZyIiIiIiEgR1Lp1s/M+fued93L33fdf9Ot++uk3+PoWfJmw+vUbMnv2AgICAi76vS7G+vVrGTHiAebP/4XAwMBCfa+iTE26iIiIiIhIETR79oK8//7558V8/vknTJ78PZA7u7un59+z1LvdbpxOJx4eF27xQkNDL6oOT09PwsMjLuo5cunUpIuIiIiISInldrvJvIpLmfl42Ao8C/j/b4wDAgIwDCNv26ZN6xk27D7efXcMn376Mfv27WH06HFERpbhww9Hs23bVjIzM6hcuSr33z+Ma65pnvda/fp1Z8CAWxgwYDCQe8X+mWdeZOXK5fz55ypKlSrN8OGP0rp1W+DsK9zz5v3E2LGjeOWVkYwdO4pTp05Sv34jnn/+JSIicuvLyclh3Lj3WbBgLjabnW7dehIfH0daWiojR466pN9dcnIyY8a8x4oVv5Od7aBRo6Y8+uiTVKxYCYATJ44zevQ7bN68kZycbMqUKcewYSNo0aI1ycnJvP/+O6xZ8wfp6RmULl2aoUPvpGvXHpdUS2FSky4iIiIiIiWS2+3mnimb2Hws+aq9Z8NyQXw6qOEVW67rk0/GMXz4I5QrV4HAwEBOnjzJdde14r77HsLT04sFC+byzDOPM3ny95QpU+ZfX+fLLz/lwQcfZtiwR5gxYyqvvPIfvv/+J4KCgs+5f2ZmJt99N5H//OdVDMPGa6/9h/HjP+Cll14HYNKkr1m0aAHPPfcSVapUZfr07/j9919p0uT8Q/jP5803X+bIkcO8/fZo/Pz8+fjjD3nqqUf49tvpeHh4MHr022RnZzN+/Kf4+Phw4MB+fH39APjss485cGAf7703luDgEI4cOUxWVtYl11KY1KSLiIiIiEiJdWVaZfPcc8/9XHPNdXk/BwUFU7NmVN7P9977IMuW/cKKFb/Rt+/Af32dm2/uRseOnQG4//5hzJgxhe3bt3HddS3PuX9OTg5PPfU85ctXAKBPnwF89dVneY9///00hgy5g7Zt2wHw2GNPs2rVikv+nIcPH2L58mV8/PHn1K/fEICXXnqNPn26smzZr7Rv34GTJ0/Qtm17qlevAZBXG8DJkyeoWTOaWrXqAFC2bLlLrqWwqUkvwrYeT6Z5kJ/ZZYiIiIiIFEuGYfDpoIZFdrh7QZxpOs9IT0/niy/+x6pVy4mLO43T6SQrK4uTJ0+c93WqV6+Z99++vr74+/uTkBD/r/v7+Pjka4LDwyPy9k9NTSU+Po46dermPW6324mOro3bfWm/64MH92O326lTp17etuDgECpVqszBg/sB6NdvEO+9N5I1a/6gWbPmtG3bnho1cj9Xr179ePHFp9m1ayfXXtuc66+/Ia/ZL2rUpBdRG48kce/UTbSoFs7Y3nWw/nd8IiIiIiJFj2EY+HrazS7jkvn45J+lffz4D1izZjXDhj1KhQoV8fb25sUXnyE7O+e8r/PPCecMw8Dtdl+x/a+G7t17ce2117Fq1XL+/HM1Eyd+yfDhj9Kv3yBatGjFjBlz+OOPFaxZs5pHHnmIPn36M3z4o6bWfC6mrpO+Zs0aHnjgAVq3bk10dDRLliw57/6nTp3iiSee4KabbqJWrVq88cYbV6nSq698iA/eHjZW7Ytj4Y5Ys8sREREREREL2LJlE126dKdt23ZUr16DsLBwTpw4dlVrCAgIICwsnJiY7XnbnE4nu3btuOTXrFy5Kk6nk+3bt+ZtS0pK5NChg1SpUjVvW2RkGXr16sebb77LoEFD+OmnH/IeCw0N5eabu/Hf/77GiBGP8+OPsy65nsJk6pX09PR0oqOj6du3L8OHD7/g/g6Hg9DQUB588EG++uqrwi/QRKUCvLnrukp8vPwAH/y6j1ZVwwjw1sAHERERERH5dxUqVOK335bSqtX1gMFnn32My3X1r3D37TuAb7/9kgoVKlC5chVmzJhKSkoyBRkhvG/fHvz8/v9tvwY1a0Zx/fVtefvtN3jqqefx8/Pjk0/GUapUaa6//gYAxowZxXXXtaRixUqkpKSwfv1aKlfObeA/++wToqNrUbVqdRwOBytXLqdy5SpX/HNfCaZ2fW3btqVt27YF3r9ChQq8+OKLAHz//feFVVaRMbRZBebHnOJAXDqf/3GIR9pWM7skEREREREpwh5++DFGjnyVBx64i+DgEG699XbS0tKueh233no78fFxvP76S9hsdnr06M2117bAZrvwYO5hw+7N97Pdbue331bz3HMvMWbMezzzzKNkZ2fTsGET3n13TN7Qe5fLyejRbxMbewo/P3+aN2/BiBGPA7nD8ydMGM/x48fw9vahYcNGvPLKm1f+g18BhtvsGwf+Eh0dzfjx4+nQoUOB9h86dCi1atXihRdeuKT3i4tLoWh88n9nGLD5dAZ3frkGu83gu9uaUC3C3+yypAAMA8LDAy1xnEl+ys66lJ21KT/rUnbWVdKyy852cPr0ccLDy+Lp6WV2OZfNw8NGzlWc8O5yuVwubr21H+3bd+Teex80u5xCkZ3tIC7uOBERZx9jZ863giix46cL+gsyW7vwQDrUjmRJzEk++P0Ak+5pfkVng5TCZZXjTM6m7KxL2Vmb8rMuZWddJSW7zMxM4uNt2O0GHh6mTs11xRTlz3H8+DFWr/6DJk2a4nA4mDFjKsePH6Nz55uLdN2Xw+UysNlshIb64+Pjc8mvU2KbdCt8Y3jm25YRrSvx++5YVu6NY+rK/XSILmV2aXIBJe2b6eJE2VmXsrM25Wddys66Slp22dkOXC4XTqfbUleg/01Rv5LucsHcuT/y4Yfv43ZDtWrV+eCDj6hYsUqRrvtyOJ1uXC4XCQlpeHpm53tMV9ILwO3GMn+MygX7cvs1FfnfqoOM/mUvLaqE4edl3WUiShIrHWeSn7KzLmVnbcrPupSddZWU7ErCZyxKIiPL8PHHX5hdhiku95wqnuMMiqGh11SgXLAPp1IdfLH6kNnliIiIiIiISCEwtUlPS0sjJiaGmJgYAI4cOUJMTAzHjuWu4zdq1CiefvrpfM85s39aWhrx8fHExMSwZ8+eq1771ebjaefxG6oDMGntEQ7Gp5tckYiIiIiIiFxppg5337p1K7fddlvezyNHjgSgd+/evPXWW8TGxnL8+PF8z+nVq1fef2/bto05c+ZQvnx5li5delVqNlOb6mG0rBrKyv0JvPfLXsb2qadJ5ERERERERIoRU5v05s2bs3Pnzn99/K233jpr2/n2L+4Mw+DJdjUYeGgtfxxI4Lc9cdxQM8LsskREREREROQK0T3pFlMx1JehzSoAMPrXvWRmO02uSERERERERK4UNekWdEfzSkQGenM8OYuv/jxsdjkiIiIiIiJyhahJtyBfTzuP31ANgIlrDnMkMcPkikREREREpKgaPvw+xowZlfdzv37dmTZt8nmf07p1M5Yt+/Wy3/tKvU5JoibdotrVjKB55RAcTjejftlrdjkiIiIiInKFPf30Yzz++MPnfGzjxvW0bt2MPXt2X/TrfvrpN/To0edyy8vn888ncMcdg8/aPnv2Aq67ruUVfa9/mjfvJzp3vqFQ3+NqUpNuUWcmkfOwGSzfF8/ve+PMLklERERERK6gbt16snbtak6dOnnWY3Pm/EitWnWoUaPmRb9uaGgoPj4+V6LECwoPj8DLy+uqvFdxYers7nJ5qoT7Mbhpeb5Zc4RRv+zl2sqheHvoexcRERERkQJzuyHnKt4+6uELBVxGuWXL1oSEhDJv3k/cccc9edvT09NZunQJDz00gqSkREaPfodNmzaQkpJM+fIVGDr0Tjp27Pyvr9uvX3cGDLiFAQNyr3wfPnyIt956jZiYbZQrV55HHnnirOd89NFYli37ldjYk4SFRdCpU2fuvPNePDw8mDfvJ7788lMgd3g7wPPPv0SXLt1p3boZb775Hm3a3ADA3r17GDPmPbZu3YKPjw9t27bn4Ycfw8/PD4A33niZ1NQU6tdvxNSp35KdncONN3bikUeewMPj0trXEydO8MEH77Bu3RoMw0bz5i147LGnCAsLB2D37l2MHTuKHTtiMAyDChUq8vTTz1OrVh1OnDjO6NHvsHnzRnJysilTphzDho2gRYvWl1RLQahJt7i7rqvE/JhTHE3KZOKaw9zTorLZJYmIiIiIWIPbTcjM3nieWHvV3jK77DUk9p5ZoEbdw8ODzp27MH/+HG6//W6Mv57zyy9LcDpddOjQmYyMdKKjazNkyO34+fmzatVyXn/9JcqXr0CdOvUu+B4ul4sXXniK0NBwJkz4irS0VMaOHXXWfn5+frzwwktERJRi7949vPPOG/j5+XHrrbdz440d2bdvL6tXr+SDDz4CICAg4KzXyMjI4PHHh1OvXn0+++xrEhISeOut13n//Xd44YWX8/Zbv34t4eERjB07gSNHDvPSS89Rs2YUPXr0vuDnOdfne+65x/H19ePDD/+H0+lk9Oi3+e9/n2PcuP8B8OqrLxIVFc2TTz6HzWZj9+5d2O25rfLo0W+TnZ3N+PGf4uPjw4ED+/H19bvoOi6GLrtanL+XB4+2zZ1E7qs/D3MsKdPkikRERERELKSAV7XN0rVrT44ePcKGDevyts2b9xPt2rUnICCAUqVKM3jwUGrWjKZ8+Qr06zeI5s1bsHTpkgK9/tq1f3Lw4AH+859XqFkzikaNmnDffcPO2u+OO+6hfv2GlC1bjtat2zBo0JC89/D29sHX1xe73YPw8AjCwyPw9j57OP3ixQtwOBy8+OKrVKtWg6ZNr+Hxx59i4cJ5xMf/fftuYGAQjz32NJUrV6FVq+tp0aI169b9ebG/OgDWrfuTffv28tJLr1OrVm3q1q3Hiy++wsaN64mJ2QbAyZMnadasOZUrV6FixUq0b9+BmjWj/nrsBPXrN6R69RqUL1+BVq2up1GjJpdUS0HpSnox0DG6FDM3H2fd4STe/3Uv7/asa3ZJIiIiIiJFn2HkXtUuosPdASpXrkL9+g2YO/dHmjRpxpEjh9m0aQP33fcgAE6nk4kTv2Tp0sXExsaSk5ONw+E4Z5N8LgcO7Kd06TJERJTK21avXoOz9vv550XMmDGFo0ePkpGRjtPpxM/Pv8CfA+Dgwf3UqFETX1/fvG316zfC5XJx6NDBvOHnVatWw2635+0THh7Bvn17Luq9zjhw4AClS0cSGVkmb1vVqtUICAjkwIH91K5dl4EDB/PWW6+xYME8mjW7lvbtO1C+fAUA+vUbxHvvjWTNmj9o1qw5bdu2v6R5AC6GrqQXA4Zh8GT7GtgN+HVPHKsOxJtdkoiIiIiINRgGePpdvX+XcOW+a9ee/PbbUtLT05g790fKl69AkyZNAZg8eSLTp3/Hrbfeztixn/Dll5Np3rwFOTnZV+xXtHXrZl599T9cd10r3nnnfb74YhK33XbXFX2P/++f954bhoHL5SqU9wK4++77mThxGi1btmL9+jUMGdKf3377BYDu3XsxbdpsbrqpC3v37uGee4YyY8aUQqsF1KQXGzUi/BnYpDwA7y3diyOn8A5iERERERG5etq374hh2Fi0aAELF86ja9ceefenb9myidat23LTTV2oWTOKcuXKc+jQoQK/dpUqVTl16gSnT5/O27Zt25Z8+2zZspnIyDLcfvvd1KpVh4oVK3HixPF8+3h6euJyOc/7XpUrV2XPnt1kZPw9cmHLlo3YbDYqVSqcubWqVKnCqVMnOXnyRN62/fv3kZqaQtWq1fK2VapUmYEDb+X998fTpk075s37Me+xyMgy9OrVjzfffJdBg4bw008/FEqtZ6hJL0bubVGZMD9PDiVkMHndEbPLERERERGRK8DPz48bb+zIhAnjiYs7TZcu3fMeq1ixImvWrGbLlk0cOLCfd999k4SEgi/P3KzZtVSsWJk33niJ3bt3sWnTBv73v4/y7VOxYkVOnjzBkiULOXr0CNOnT2HZsl/z7VOmTDmOHz/G7t07SUxMxOFwnPVenTrdjJeXF2+88RL79u1h/fq1vP/+u9x0U5e8oe6Xyul0sXv3znz/DhzYT7NmzalWrTqvvvofdu7cwfbtW3n99Zdo1KgJtWrVISsrk9Gj32b9+rWcOHGczZs3smPHdipXrgrAmDGjWL16FceOHWXnzh2sX78277HConvSi5EAbw8eaVuNl+bv5PM/DtG5dmnKBF2d9Q9FRERERKTwdOvWkzlzZtOiRat894/ffvvdHDt2lMcffxgfHx969OjN9dffQFpaaoFe12az8eab7/LWW69x3323U6ZMWR599CmeeOLhvH1at27LwIGDef/9d3A4smnZshV33HE3X3zxv7x9brihPcuWLeXhhx8gNTUlbwm2/8/Hx4fRo8cxZsx73HPP7fmWYLtcGRnp3Hnnrfm2lS9fgalTf2DkyNF88ME7DB9+b74l2HI/v52kpCRef/0lEhLiCQ4OoW3bdtx99/0AuFy5s8HHxp7Cz8+f5s1bMGLE45dd7/kYbrfbXajvUESdPp1CUf/khgEREYEXVavb7ea+qZvYeDSZDlGlGNm9duEWKed0KdlJ0aDsrEvZWZvysy5lZ10lLbvsbAdxcccJDy+Lp6eX2eVcNg8PGzm6xbVIOd8xduZ8KwgNdy9mDMPgqfY1sBmwZFcsfx5MMLskERERERERKSA16cVQVOkA+jUsB+ROIpft1DdsIiIiIiIiVqAmvZh6oFUVQn092R+fztQNx8wuR0RERERERApATXoxFejjwfDrc2cd/HTlQWJTs0yuSERERERERC5ETXox1q1eJPXKBpKe7WTssv1mlyMiIiIiYroSOm+2XAVX6thSk16M2QyDp2+sgQEsiDnF+iOJZpckIiIiImIKu90OgMOhEaZSOJzOHCB3WbvLoXXSi7nakYH0blCWmZuP8+7Pe5k4tAkeNsPsskREREREriqbzY6vbwCpqbmrH3l5eWMY1v3/xS6XgdOpUQFFhdvtIiUlES8vH2w2+2W9lpr0EuDB1lX4eVcse06nMWPjMQY1KW92SSIiIiIiV11QUBhAXqNuZTabDZdLqzgVJYZhIygo7LK//FGTXgKE+HryUOsqjFyyh09WHKBjdCnC/b3MLktERERE5KoyDIPg4HACA0PzhiZbkWFAaKg/CQlp6Bb7osPDw/OKjM5Qk15C9Kxflh+2nCDmZCof/r6flztHm12SiIiIiIgpbDYbNpt1L1oZBvj4+ODpma0mvRjSxHElhN2WO4kcwNxtJ9l0NMnkikREREREROSf1KSXIPXKBtGjXiQA7y7di9Olr91ERERERESKEjXpJczw66sS6O3BzlOpzNx83OxyRERERERE5P9Rk17ChPp58UCrKgB8vPwACekOcwsSERERERGRPGrSS6A+DctSs5Q/KVk5jF9+wOxyRERERERE5C9q0ksgD5vBM39NIvfjlhNsO55sckUiIiIiIiICatJLrIblg+lSpzRu4J2le3Fp7QYRERERERHTqUkvwR5uUw1/LzvbT6Qwe8sJs8sREREREREp8dSkl2AR/l7c17IyAON/309SRrbJFYmIiIiIiJRsatJLuAGNylEt3I+kzBw+XnHA7HJERERERERKNDXpJZyH3cbTf00iN3PTcXacTDG5IhERERERkZJLTbrQtGIIN9UqlTuJ3M+aRE5ERERERMQsatIFgBFtquHnaWfL8WTmbjtpdjkiIiIiIiIlkpp0AaB0oDf3tKgEwLjf95OSmWNyRSIiIiIiIiWPmnTJM6hJeaqE+RKfns2ElQfMLkdERERERKTEUZMueTztNp5snzuJ3PSNx9gdm2pyRSIiIiIiIiWLmnTJp3nlUG6MisDlhnd/3oNbk8iJiIiIiIhcNWrS5SyPtq2Gj4eNDUeTWbDjlNnliIiIiIiIlBhq0uUsZYJ8uOu63Enkxvy2n9QsTSInIiIiIiJyNahJl3O6tWkFKob4EJfm4LNVh8wuR0REREREpERQky7n5OVh44m/JpGbsuEo++LSTK5IRERERESk+FOTLv+qVdUw2lYPx+lyaxI5ERERERGRq0BNupzXY+2q4e1hY+3hJJbsOm12OSIiIiIiIsWamnQ5r/LBvtx+TUUAPvh1L+kOp8kViYiIiIiIFF9q0uWChl5TgXLBPpxKdfDFak0iJyIiIiIiUljUpMsF+XjaefyG6gBMWnuEA/HpJlckIiIiIiJSPKlJlwJpUz2MVlXDyHG5GbV0ryaRExERERERKQRq0qVADMPgiXbV8bQb/HEwgV/3xJldkoiIiIiISLGjJl0KrGKoL0ObVQBg9C97yczWJHIiIiIiIiJXkpp0uSh3Nq9EmUBvTqRk8eWfh80uR0REREREpFgxtUlfs2YNDzzwAK1btyY6OpolS5Zc8DmrV6+md+/e1KtXj44dOzJz5syrUKmc4eNp57F2uZPITVxzmMMJGSZXJCIiIiIiUnyY2qSnp6cTHR3NSy+9VKD9Dx8+zP3330/z5s2ZPXs2t99+Oy+++CK///57IVcq/1+7GuE0rxxCttPN6F/3ml2OiIiIiIhIseFh5pu3bduWtm3bFnj/KVOmUKFCBZ599lkAqlevzrp16/jqq6+4/vrrC6tM+QfDMHiyfQ1u+Xody/fF8/veOK6vHm52WSIiIiIiIpZnapN+sTZu3EiLFi3ybWvdujVvvvnmRb+WYVypqgrPmRqLYq1Vw/0Y3LQ836w5wqhf9tK8SijeHpri4IyinJ2cn7KzLmVnbcrPupSddSk761J21nMxWVmqST99+jQRERH5tkVERJCamkpmZiY+Pj4Ffq3w8MArXV6hKaq1PtOtLot2nuZoUiYztp7ikQ41zS6pyCmq2cmFKTvrUnbWpvysS9lZl7KzLmVXPFmqSb+S4uJScLvNruL8DCP3xCvKtY5oU4Xn5+zgo1/30K5qCOWCC/5FSXFmhezk3JSddSk7a1N+1qXsrEvZWZeys54zmRWEpZr0iIgITp8+nW/b6dOnCQgIuKir6ABuN5Y5oItyrR2iSjGz4nHWHk5i9C97ebdnXbNLKlKKcnZyfsrOupSdtSk/61J21qXsrEvZFU+Wuom4UaNG/PHHH/m2rVy5kkaNGplTkORNIme3Gfy6J46V++PNLklERERERMSyTG3S09LSiImJISYmBoAjR44QExPDsWPHABg1ahRPP/103v6DBg3i8OHDvPPOO+zdu5dJkyYxf/587rjjDjPKl79Uj/BnYONyALy3dA9ZOS6TKxIREREREbEmU5v0rVu30qtXL3r16gXAyJEj6dWrF2PHjgUgNjaW48eP5+1fsWJFJkyYwMqVK+nZsydffvklr7/+upZfKwLubVGZcH8vDidmMv73/WaXIyIiIiIiYkmG210y72I4fbroT7JgGBAREWiJWgF+3xvH4z9sA2BMn3q0rBpmckXmsVp28jdlZ13KztqUn3UpO+tSdtal7KznTGYFYal70qVou756OP0b5Q57f2XBTuLTHSZXJCIiIiIiYi1q0uWKGtGmKtXC/YhPz+a1hbsooQM1RERERERELomadLmifDztvNG1Nl52g+X74pm+8fiFnyQiIiIiIiKAmnQpBDVK+fNwm2oAjPltL3tOp5lckYiIiIiIiDWoSZdCMbBxOVpWDcXhdPPi3BgtyyYiIiIiIlIAatKlUBiGwX9viibMz5O9p9P5cNk+s0sSEREREREp8tSkS6EJ9/fivzdFAzB1wzFW7I83uSIREREREZGiTU26FKpW1cIY2Dh3WbZXF+wkLk3LsomIiIiIiPwbNelS6B5uU40aEf7Ep2fz6sKdWpZNRERERETkX6hJl0Ln7WHjta618LIbrNyfwNQNx8wuSUREREREpEhSky5XRY0Ifx5pm7ss24fL9rEnVsuyiYiIiIiI/JOadLlq+jcqR+tqYTicbl6YG0NmttPskkRERERERIoUNely1RiGwX9uiiLMz5N9cel8uGy/2SWJiIiIiIgUKWrS5aoK8/Pipc65y7JN23iM5fviTK5IRERERESk6FCTLlddy6ph3NKkPACvLtjFaS3LJiIiIiIiAqhJF5MMu74qNUv5k5CRzSsLduLSsmwiIiIiIiJq0sUc3h42Xu9aC28PG38cSGDK+qNmlyQiIiIiImI6Nelimmrhfy/LNu73/ew6lWpyRSIiIiIiIuZSky6m6tewLNdXCyPb6ebFeTu0LJuIiIiIiJRoatLFVGeWZQv392J/XDpjfttndkkiIiIiIiKmUZMupgv18+KVv5Zlm7HpOMv2alk2EREREREpmdSkS5HQvEoog5vmLsv22sJdnE7NMrkiERERERGRq09NuhQZw1pXJaqUP4kZ2bysZdlERERERKQEUpMuRYaXh43Xu9bG28PG6oOJfLdOy7KJiIiIiEjJoiZdipSq4X48dkPusmzjl+9np5ZlExERERGREkRNuhQ5fRqUpW318Nxl2ebGaFk2EREREREpMdSkS5FjGAYvdooiwt+LA/EZfKBl2UREREREpIRQky5FUoifJy/fnLss2/ebjvPbntMmVyQiIiIiIlL41KRLkdW8cihDmlUAcpdli9WybCIiIiIiUsypSZci7aHWVYguHUBSZg4vzdeybCIiIiIiUrypSZcizdNu4/WutfDxsLHmUCKT1h4xuyQREREREZFCoyZdirwqYX483q46AB8tP8COkykmVyQiIiIiIlI41KSLJfSqX4YbaoST43Lz4twdZGhZNhERERERKYbUpIslGIbBC52iKB3gxcGEDN7/da/ZJYmIiIiIiFxxatLFMkJ8c5dlM4BZm0/wy24tyyYiIiIiIsWLmnSxlGsqhTL0mtxl2d5YtItTKVqWTUREREREig816WI5D7SqQu3Iv5ZlW6Bl2UREREREpPhQky6W42m38VqX3GXZ1h5K5Ns1WpZNRERERESKBzXpYkmVw/x4sv1fy7KtOECMlmUTEREREZFiQE26WFaPemVoXzMC51/LsqU7tCybiIiIiIhYm5p0sSzDMHi+Y01KB3hxKCGD0b9oWTYREREREbE2NeliacG+nrzapRYGMHvrCZbuijW7JBERERERkUumJl0sr2nFEG6/tiIAbyzezYnkTJMrEhERERERuTRq0qVYuL9lZeqUCSQ5M4eXF+zE6dKybCIiIiIiYj1q0qVY8LDbeL1LLXw9baw7nMTENYfNLklEREREROSiqUmXYqNiqC9Ptq8BwCcrD7LthJZlExERERERa1GTLsVK97qRdIjKXZbtP3NjtCybiIiIiIhYipp0KVYMw+C5jjWJDPTmcGIm7y3dY3ZJIiIiIiIiBaYmXYqdIB9PXu0SjQH8tO0kS3ZqWTYREREREbEGNelSLDWpEMKdzXOXZXtTy7KJiIiIiIhFqEmXYuveFpWpVzaQlKwc/jtfy7KJiIiIiEjRpyZdii0Pu43XutTCz9POhiNJfKNl2UREREREpIhTky7FWoUQX566sToAE1YcYOvxZJMrEhERERER+XdFokmfNGkS7du3p379+vTv35/Nmzf/677Z2dmMGzeODh06UL9+fXr06MGyZcuuYrViNV3rRNIxuhRON7w4dwdpjhyzSxIRERERETkn05v0efPmMXLkSIYNG8asWbOoVasWd999N3Fxcefc/4MPPmDq1Kn85z//Yd68eQwaNIjhw4ezffv2q1y5WIVhGDzXoSZlAr05mpTJu0v3ml2SiIiIiIjIOZnepH/55ZcMGDCAvn37UqNGDV555RV8fHz4/vvvz7n/7NmzeeCBB2jbti0VK1Zk8ODBtG3bli+++OIqVy5WEujjwWtdamEzYO62kyzaccrskkRERERERM7iYeabOxwOtm3bxv3335+3zWaz0bJlSzZs2HDO52RnZ+Pl5ZVvm7e3N+vXr7+o9zaMi6/3ajtToxVqtYLGFYO5q3klPvvjECOX7KZBuSDKBvsUynspO+tSdtal7KxN+VmXsrMuZWddys56LiYrU5v0hIQEnE4n4eHh+baHh4ezb9++cz6ndevWfPXVV1xzzTVUqlSJVatWsXjxYpxO50W9d3h44CXXfbVZqdai7tnudVl3LJkNhxJ5bfEevrvvOuy2wvvrpuysS9lZl7KzNuVnXcrOupSddSm74snUJv1SvPDCC7z44ovcfPPNGIZBxYoV6dOnz78Oj/83cXEpuIv4stmGkXviWaFWK3mpU01u/WY9fx6I592527inReUr/h7KzrqUnXUpO2tTftal7KxL2VmXsrOeM5kVhKlNemhoKHa7/axJ4uLi4oiIiDjnc8LCwvjoo4/IysoiMTGR0qVL895771GxYsWLem+3G8sc0Faq1QrKB/vy9I01eGn+Tj5deZBrKoXSoFxQobyXsrMuZWddys7alJ91KTvrUnbWpeyKJ1MnjvPy8qJu3bqsWrUqb5vL5WLVqlU0btz4vM/19vYmMjKSnJwcFi1axI033ljY5UoxcnPt0txUK3dZtid/2Mb+uHSzSxIRERERETF/dvc777yTadOmMWvWLPbu3cvLL79MRkYGffr0AeDpp59m1KhReftv2rSJRYsWcfjwYdauXcs999yDy+XinnvuMesjiAUZhsGzHWpSOzKAhIxsHpq+mcMJGWaXJSIiIiIiJZzp96R36dKF+Ph4xo4dS2xsLLVr1+azzz7LG+5+/PhxbLa/v0vIysrigw8+4PDhw/j5+dG2bVveeecdgoIKZ7iyFF8B3h6M7VufB6dtZs/pNB6cvpn/DWxIuUKa8V1ERERERORCDLe7ZN7FcPp00Z9kwTAgIiLQErVaWXy6g/unbuJAfAblgn3438CGRAZ6X9ZrKjvrUnbWpeysTflZl7KzLmVnXcrOes5kVhCmD3cXMVuYnxcf9W9AhRAfjiVl8tD0zZxOc5hdloiIiIiIlEBq0kWAUgHefNy/AWWDvDmUkMGw6ZtJTM82uywRERERESlh1KSL/KVMkA8f9W9A6QAv9sWlM2zGZpIz1aiLiIiIiMjVoyZd5P+pEOLL+P4NCPPzZFdsGiO+30pqVo7ZZYmIiIiISAmhJl3kH6qE+TG+fwOCfTzYdiKFR2duJd3hNLssEREREREpAdSki5xDjQh/xvdrQKC3B5uOJfPED1vJzFajLiIiIiIihUtNusi/iI4MYGzfevh72Vl7OImnf9yOI8dldlkiIiIiIlKMqUkXOY96ZYP4oHc9fDxsrDqQwPNzYshxqlEXEREREZHCoSZd5AIaVQhmdO+6eHvY+G1vHP+Zt4Mcl9vsskREREREpBhSky5SANdUCuWdHnXwsBks2XWa1xbuxOVWoy4iIiIiIleWmnSRAmpZNYy3utfGbjOYt/0Uby7erUZdRERERESuKDXpIhehbY0IXutSC5sBs7ecYNTSvbjVqIuIiIiIyBWiJl3kInWMLsVLnaMxgGkbjzF22X416iIiIiIickWoSS+q3G48jv0J6fFmVyLn0KVOJM91rAnAt2uPMGHlQZMrEhERERGR4kBNehHleXQlITP7wPjmeB5aZnY5cg69G5TlyXbVAfj8j0N8ufqQyRWJiIiIiIjVqUkvonJK1ScnLBrSThH04634rxoJzmyzy5J/GNikPCPaVAXgo+UHmLzuiMkViYiIiIiIlalJL6Lc3kEkDpgDze7CwI3f+vGE/NAPW7KawKJm6DUVub9lZQDe/3Uf0zceM7kiERERERGxKjXpRZmHL3R7n+TOn+DyCsLzxDpCp92E1955Zlcm/3D3dZW449qKALzz8x5mbzlhckUiIiIiImJFatItwFGjGwkDF5Ad2RhbVhLBC+4j4LcXICfT7NLkL4Zh8FDrKgxuWh6A1xfuYvbGoyZXJSIiIiIiVqMm3SJcQZVI7D2T9CYPAeC79WtCZ3THnrDH5MrkDMMweLRtNfo2LIsbeHzaJn7eFWt2WSIiIiIiYiFq0q3E7klai+dJ7P4tLt9wPOJiCJ12M94x00DrdBcJhmHw9I016F4vEqfLzfNzdrBsb5zZZYmIiIiIiEWoSbeg7Eo3kDBwEY4KrTFyMgha+jiBS0ZgOFLNLk0Am2HwYqcoejQsh9Pl5tmftvPHAa13LyIiIiIiF6Ym3aJc/pEkdZ9EWvNncBt2fHbNImRaZzxit5hdmgB2m8HoAQ1pVzOCbKebJ2dvZ93hRLPLEhERERGRIk5NupXZ7KQ3e5jE3jNwBpTDI+kAITN64LvpMw1/LwI87Dbe7FaL1tXCyMpx8disrWw6mmR2WSIiIiIiUoSpSS8GcspeQ8LAhWRVvQnDlU3A8pcJmncXRmaC2aWVeJ52G291r0PzyiFkZLt4ZOZWtp9IMbssEREREREpotSkFxNun1CSb/6MlDav47Z54X1gMaFTOuJ57A+zSyvxvD1svNezLo0rBJPmcPLw91vYdUrzB4iIiIiIyNnUpBcnhkFm/TtI6PcTOSHVsKedIPiHAfiteR9cTrOrK9F8PO2837su9csGkZyZw/AZW9gXl2Z2WSIiIiIiUsSoSS+GnKXqktB/Ppm1+mO4Xfj/OYrgHwdhSz1udmklmr+XB2P61KN2ZAAJGdk8NH0LhxIyzC5LRERERESKEDXpxZWXPyk3vk9yhzG4PfzwOrqK0Kk34XXgZ7MrK9ECfTwY27c+NSL8iUtz8OC0TRxNUqMuIiIiIiK51KQXc1nRfUkYuIDsiHrYMuMJnns7/stfBafD7NJKrBBfT8b3r0+VMF9OpTp4aPoWTqZkmV2WiIiIiIgUAWrSSwBnSDUS+80mvcFdAPht+h8hM3tjSzpgbmElWJifFx/1b0CFEB+OJWXy0PTNnE5Voy4iIiIiUtKpSS8p7N6kXf8qSV2+wOUdguepTYRO7Yz37tlmV1ZilQrw5uP+DSgb5M2hhAwemrGFhHSNcBARERERKcnUpJcwjqqdSBi4iOyy12LLTiVo0TAClj4J2elml1YilQny4aP+DSgd4MX+uHSGz9hCUka22WWJiIiIiIhJ1KSXQK7AciT2mkZas0dwY+AbM4XQ6V2xx8WYXVqJVCHEl/H9GxDm58mu2DRGzNxKalaO2WWJiIiIiIgJ1KSXVDYP0ps/RVLPKTj9IvFI2E3o9G74bP0W3G6zqytxqoT5Mb5/A4J9PNh+IoVHZ24l3aG17UVERERESho16SVcdoVWJAxcSFaldhjOLAJ/e5bAhQ9iZCWZXVqJUyPCn/H9GhDo7cGmY8k88cNWMrPVqIuIiIiIlCRq0gW3XwTJ3b4mteV/cNs88Nk7h9CpnfE4sd7s0kqc6MgAPuxbD38vO2sPJ/HUj9tx5LjMLktERERERK4SNemSy7CR0fh+EvvMwhlUCXvKYUJm9cF3/UfgVpN4NdUtG8QHvevh42HjjwMJPDcnhhynMhARERERKQnUpEs+OZGNSRiwgMwa3TFcOQSsepPgOUMx0k+bXVqJ0qhCMKN718Xbw8ayvXH8Z94OclyaK0BEREREpLhTky5ncXsHkdLpI1LavYPbwwevQ78ROrUTnoeXm11aiXJNpVDe6VEHT7vBkl2neXXBTpxq1EVEREREijU16XJuhkFmncEk9JtLTlg09vRTBP94C35/vAMuLQ92tbSsGsbIbrWx2wzmx5xi5JLduDT7voiIiIhIsaUmXc7LGR5NQr85ZNS5FQM3/uvGEvJDf2wpR80urcRoWyOC17rUwmbA7C0neG/pXtxq1EVEREREiiU16XJhnr6ktnub5E4f4/IKxPP4GkKndsJr3wKzKysxOkaX4qXO0RjA9I3HGLlkt4a+i4iIiIgUQ2rSpcCyanYnYeBCsks3wpaVRPD8ewhY9iLkZJpdWonQpU4kL94Uhc2AWZtP8N95OzTru4iIiIhIMaMmXS6KK6gSiX1mkt74AQB8t3xFyPc9sSfsNbmykqFHvTK80bU2HjaDRTtjeerH7WRmO80uS0RERERErhA16XLx7F6ktXyRxG4TcfmG43l6G6HTbsZ7xwyzKysROkSXYlSv3OXZlu+L55GZW0nN0mR+IiIiIiLFgZp0uWTZlduRMHAhjvKtMHLSCfr5UQKXPKrh71dBy6phfNi3Pv5edtYfSWLYjC0kZmSbXZaIiIiIiFwmNelyWVz+ZUjqMZm05k/jNmz47JxB8JzbMBwpZpdW7DWuEMzHAxoQ4uvJ9hMp3D91E7GpWWaXJSIiIiIil0FNulw+m530ZiNI6vEdLs8AvI6uJPiHgRgZcWZXVuzVjgzkfwMbUirAi31x6dw7ZRNHkzLMLktERERERC6RmnS5YrIrtCKp1zRcPmF4xm4mZGYfrad+FVQN9+PTQQ0pH+zD0aRM7p2yiX1xaWaXJSIiIiIil0BNulxROaUbkNhnFs6A8ngk7iVkZi/s8bvNLqvYKx/sy6eDGlIt3I/YVAf3TdlEzEndciAiIiIiYjVq0uWKc4ZWJ7HvLHJCa2JPPU7IrD54nNxodlnFXqkAbyYMbEidMoEkZebw4LTNrD+SaHZZIiIiIiJyEdSkS6FwBZQjsff3ZJduiC0zgeDZA/E8vNzssoq9EF9PPupfnyYVgklzOBnx/VZW7I83uywRERERESkgNelSaNy+YST1nIqjQmts2WkEz7kNr73zzC6r2PP38mBMn3q0rhZGVo6LJ3/YxpKdsWaXJSIiIiIiBVAkmvRJkybRvn176tevT//+/dm8efN59//qq6+46aabaNCgAW3btuXNN98kK0tLTxVFbq8Akrp9TVb1LhguB0ELH8Bn+2Szyyr2fDztvNujDp2iS5HjcvPC3Bh+3HLC7LJEREREROQCTG/S582bx8iRIxk2bBizZs2iVq1a3H333cTFnXv5rp9++olRo0YxfPhw5s2bxxtvvMG8efMYPXr0Va5cCszuTXKnj8moMxjD7SLwl6fxXf+R2VUVex52G692qUXvBmVwueG1RbuYvO6I2WWJiIiIiMh5mN6kf/nllwwYMIC+fftSo0YNXnnlFXx8fPj+++/Puf+GDRto0qQJ3bt3p0KFCrRu3Zpu3bpd8Oq7mMxmJ/WGt0lvMgyAgFVv4r/ydXC7TS6seLPbDJ7rUJOhzSoA8P6v+/jfygO49XsXERERESmSPMx8c4fDwbZt27j//vvzttlsNlq2bMmGDRvO+ZzGjRvz448/snnzZho0aMDhw4f57bff6Nmz50W9t2FcVulXxZkarVBrgRgG6S2fw+0Tiv/K1/Hb8Am2zARS270NNlMPxSuuKGVnGAYj2lYlwMeDj5cf4NNVh0h1OHn8hmoYRaHAIqYoZScXR9lZm/KzLmVnXcrOupSd9VxMVpfUGR0/fhzDMChTpgwAmzdv5qeffqJGjRoMHDiwwK+TkJCA0+kkPDw83/bw8HD27dt3zud0796dhIQEBg8ejNvtJicnh0GDBvHAAw9c1GcIDw+8qP3NZKVaC6TTU1CqLPz4MD4xU/Fxp0Hfz8HTx+zKrriilN0z3eoSGerHyz9t57t1R3EaBiP7NMBu01/3cylK2cnFUXbWpvysS9lZl7KzLmVXPF1Sk/7EE08wYMAAevXqRWxsLHfeeSc1a9bkp59+IjY2luHDh1/pOvOsXr2aCRMm8NJLL9GgQQMOHTrEG2+8wfjx4xk2bFiBXycuLqXIj7Q2jNwTzwq1XrSKPfG62ZvAhcMwdszB8VVvUrp+jturePyhKarZdYuOgJxoXl2wk2lrjxCXnMnrXWvhaTf9zpcio6hmJxem7KxN+VmXsrMuZWddys56zmRWEJfUpO/evZsGDRoAMH/+fGrWrMmUKVNYvnw5L730UoGb9NDQUOx2+1mTxMXFxREREXHO54wZM4YePXrQv39/AKKjo0lPT+e///0vDz74IDZbwZoNt9s6t0NbqdaLkVW1M65u3xA07268jq4kaNZAkrpPxO0bfuEnW0RRzK5rnUj8PO28MDeGn3edJt2xjXd61MHH0252aUVKUcxOCkbZWZvysy5lZ13KzrqUXfF0SZfPcnJy8PLyAmDlypW0b98egGrVqhEbW/D1mL28vKhbty6rVq3K2+ZyuVi1ahWNGzc+53MyMzPPasTt9tzmQpNhWU92hVYk9ZqGyycMz9jNhMzsgy3lqNllFXvtakbwfq96+HjYWHUggRHfbyE1K8fsskRERERESrxLatJr1KjBlClTWLt2LStXrqRNmzYAnDp1ipCQkIt6rTvvvJNp06Yxa9Ys9u7dy8svv0xGRgZ9+vQB4Omnn2bUqFF5+7dr147vvvuOuXPncvjwYVasWMGYMWNo165dXrMu1pJTugGJfWbhDCiPR+JeQmb2wh6/2+yyir3mVUIZ168+Ad52NhxN5sFpm0lId5hdloiIiIhIiXZJw92ffPJJhg8fzueff06vXr2oVasWAEuXLs0bBl9QXbp0IT4+nrFjxxIbG0vt2rX57LPP8oa7Hz9+PN+V8wcffBDDMPjggw84efIkYWFhtGvXjscee+xSPooUEc7Q6iT2mUXwT4PxSNhDyKw+JHWbSE5kI7NLK9Yalg/mkwENeXjGFnacSuW+qZsY368BpQO9zS5NRERERKREMtyXOEbc6XSSmppKcHBw3rYjR47g6+t71mztRdHp00V/kgXDgIiIQEvUeqUYGfEEzxmK56lNuDz9Sb75c7Irtja7rItmtewOxKczbPpmTqU6KBfkzfj+DagQ4mt2WaawWnbyN2VnbcrPupSddSk761J21nMms4K4pOHumZmZOByOvAb96NGjfPXVV+zfv98SDboUXW7fMJJ6TsVRoTW27DSC59yG1955ZpdV7FUJ8+OzWxpRMcSHY8lZ3DtlE3tOp5ldloiIiIhIiXNJTfpDDz3EDz/8AEBycjIDBgzgyy+/ZNiwYUyePPlK1iclkNsrgKRuX5NVvQuGy0HQwgfw2f6d2WUVe2WDfPjfoEbUiPDndJqDB6ZuYtvxZLPLEhEREREpUS6pSd+2bRvNmjUDYOHChYSHh/PLL7/w9ttvM3HixCtaoJRQdm+SO31MRp1bMNwuAn95Ct/1H5ldVbEX4e/FJwMaUK9sIEmZOTw0fQvrDieaXZaIiIiISIlxycPd/f39AVi+fDmdOnXCZrPRqFEjjh07dkULlBLMZif1hndIb/IQAAGr3sR/5etaDLKQBft6Mr5fA5pVCiE928mI77fw+944s8sSERERESkRLqlJr1SpEkuWLOH48eMsX76cVq1aARAXF0dAQMAVLVBKOMMgrcXzpLZ8EQC/DZ8Q8MtT4NKa3oXJz8vOB73r0aZ6OA6nm6d+3M6iHafMLktEREREpNi7pCZ92LBhvPPOO7Rv354GDRrQuHFjAFasWEHt2rWvaIEiABmNHyC5/Sjchg3fmCkELXwAcjLNLqtY8/aw8Xb32nSuXRqny82Lc3cwc/Nxs8sSERERESnWLmmd9M6dO9O0aVNiY2Pz1kgHaNGiBR06dLhixYn8f1m1B+L2DiJo4TC89y0geM7tJHf5HLeXRm8UFg+7jVdujsbfy873m44zcvFu0rJyGHpNRbNLExEREREpli7pSjpAqVKlqFOnDqdOneLEiRMANGjQgOrVq1+x4kT+yVHtZpK6T8Tl6Y/X0RUEzx6IkaH7pQuTzTB45sYa3H5tbmM+dtl+Pl6+H7fmBhARERERueIuqUl3uVyMGzeOpk2b0q5dO9q1a0ezZs0YP348LpfrStcokk92hVYk9ZqGyycMz1ObCJnZB1vKUbPLKtYMw2D49VUZ1roKAF+sPsyoX/biUqMuIiIiInJFXdJw9/fff58ZM2bwxBNP0KRJEwDWrVvHuHHjcDgcPPbYY1e0SJF/yindkMQ+swj+8RY8EvcSMrMXST2+wxlaw+zSirU7mlciwNuDd37ew9QNx0jNyuHFm6LxsBlmlyYiIiIiUixc0pX0WbNm8frrrzN48GBq1apFrVq1uPXWW3nttdeYOXPmla5R5JycodVJ7PMDOaE1sKceJ2RmbzxObTK7rGKvX6NyvHxzNHYD5m4/xXM/bceRoxE0IiIiIiJXwiU16UlJSVSrVu2s7dWqVSMpKemyixIpKFdgORJ7zyS7dENsmQkE/zAAzyMrzC6r2OtSJ5K3e9TB027w6544Hv9hKxnZTrPLEhERERGxvEtq0mvVqsWkSZPO2j5p0iSio6MvuyiRi+H2DSOp51QcFVpjy04j+KeheO2dZ3ZZxV7bGhF80Lsevp42Vh9MZPiMLaRkav16EREREZHLYbgvYYrmP//8k/vvv5+yZcvSqFEjADZu3Mjx48f59NNPadas2ZWu84o7fTqFoj7nlWFARESgJWotEpxZBC0ajve++bgNG6k3vE1mnVtMKaUkZbflWDKPzNxKSlYOUaX8+bBffcL8vMwu65KVpOyKG2VnbcrPupSddSk761J21nMms4K4pCvp1157LQsWLKBjx46kpKSQkpJCx44dmTt3LrNnz76UlxS5fHZvkm/6hIzagzDcLgJ/eQrf9R+ZXVWxV79cEBMGNiDMz5NdsWncO2UTJ5IzzS5LRERERMSSLulK+r/ZsWMHvXv3JiYm5kq9ZKGxwrdO+obsErnd+P8xEr+/GvT0xg+Q1uKF3F/oVVISszuUkMGw6Zs5kZJFmUBvxvdvQKVQX7PLumglMbviQtlZm/KzLmVnXcrOupSd9RT6lXSRIs0wSGvxPKktXgDAb8MnBPzyFLh0v3RhqhTqy6eDGlIp1JcTKVncO2Uju2NTzS5LRERERMRS1KRLsZXR5EFS2r2H27DhGzOFoIUPQI6GYRemMkE+fDqoIVGl/IlPz+b+qZvZcizZ7LJERERERCxDTboUa5l1BpHceQJumxfe+xYQPOd2DIeu7hamMD8vPhnQkAblgkjJymHYjM2s2BdvdlkiIiIiIpbgcTE7Dx8+/LyPJyfripkUPY5qN5PUfSJB8+7C6+gKgmcPJKnbN7h9w80urdgK9PFgXL/6PDV7G6sPJvLorK3c0qQ8w66vireHvhsUEREREfk3F/X/lgMDA8/7r3z58vTq1auQShW5dNkVWpHUaxounzA8T20iZGYfbCnHzC6rWPP1tDO6Vz36NyoHwHfrj3LHpA3sOZ1mcmUiIiIiIkXXFZ3d3UqsMBOiZm288uwJewj+cTD21GM4A8qR1GMyztAaV/x9lF1+y/fF8drCXcSnZ+NlN3i4TTUGNi6HcRVn3C8oZWddys7alJ91KTvrUnbWpeysR7O7i/wLZ2gNEvvMIiekOvbUY4TM7I3HiXVml1Xsta4WzuTbmtKqahgOp5tRv+zlkZlbOZ3mMLs0EREREZEiRU26lDiuwPIk9plJdumG2DITCJnVF99148DlNLu0Yi3c34v3e9flqfY18PawsepAArd8vY5le+PMLk1EREREpMhQky4lkts3nKSeU8ms0R3DlUPAH28RPHsAtpSjZpdWrBmGwYDG5fhmSGNqlvInMSObJ37YxltLdpOZrS9JRERERETUpEuJ5fYKIKXTRyTf+D4uT3+8jq0mdGonvHf/ZHZpxV61cH++GtyYW5tWAOD7TccZMnE9O06mmFyZiIiIiIi51KRLyWYYZNXqT8KABWSXboQtK4mgRQ8S+PNjWk+9kHl52Hj0hmqM61efUgFeHEzI4M7JG/nmz8O4NAOKiIiIiJRQatJFAFdIVRL7zCKt2SO4DRs+O6YTOvUmTSp3FTSvHMrk25pyQ41wclxuPvx9P8Omb+ZkSpbZpYmIiIiIXHVq0kXOsHuS3vwpknpNxxlQHnvyQUJm9sFvzQeaVK6Qhfh68k6POrzYqSY+HjbWHk5i8DfrWLIz1uzSRERERESuKjXpIv+QXa45CYMWkVmzJ4bbif+f7xHyQ39syYfNLq1YMwyDnvXLMum2ptQpE0hyZg7PzYnh1QU7SXPkmF2eiIiIiMhVoSZd5Bzc3sGkdBxHcocxuDwD8Dz+Z+6kcrtmmV1asVcp1JfPBzXkruYVMYCftp1kyMT1bDmWbHZpIiIiIiKFTk26yL8xDLKi+5IwcCHZZZpic6QQtPhhAhePwMhSw1iYPOw2HmxdlU8GNqBMoDdHEjO5d8pGPlt1kByXJpUTERERkeJLTbrIBbiCK5PY+3vSrnk8d1K5XTNzJ5U7vtbs0oq9JhVCmHxbU26qVQqnGyasPMgDUzdxNCnD7NJERERERAqFmnSRgrB5kH7t4yT2nokzsCL2lMOEzOqD35+jwKX7pQtToI8Hr3etzatdovH3srPpWDK3frOeedtPml2aiIiIiMgVpyZd5CLklG1GwsCFZEb3xXC78F/zPiGz+mJLOmh2acXezbUjmXRbExqWCyLN4eSl+Tt5cW4MKZn6kkREREREig816SIXye0dREqHMSR3HIfLKxDPE+sInXoT3jtngFv3Sxem8sG+fDKwIfe3rIzdgIU7Yhn8zTo2HEkyuzQRERERkStCTbrIJcqK6kXCwEVkl70WW3YqQUseJXDxcIwsNYyFycNmcE+Lynx2SyMqhPhwIiWLB6Zt4qPl+8lxuswuT0RERETksqhJF7kMrqCKJPaaRlrzp3Abdnx2zyZ0Sic8jq02u7Rir17ZIL4d2oTudSNxueHL1Ye5e8omDiVoUjkRERERsS416SKXy+ZBerNHSOwzC2dQZeypRwme1R+Wvg7ObLOrK9b8vTz4b+do3upemyAfD7afSGHIxHXM3nIct249EBERERELUpMucoXklGmSO6lcrf4Ybhcse5fgmb2xJe43u7Ri78aoUky+rSnNKgaTke3i9UW7eeanGBIz9CWJiIiIiFiLmnSRK8jtFUDKje+TfNNH4BOM58mNhE7rjHfMNE0qV8giA70Z378BI9pUxcNm8Mvu0wz+Zh2rDyaYXZqIiIiISIGpSRcpBI6aPeCBFWSXa44tO42gpY8TuPBBjMxEs0sr1myGwdBrKvLV4MZUCfMlNtXB8Blb+ODXfThyNKmciIiIiBR9atJFCktIRZJ6TSP1umdx2zzw2TuH0Kkd8Ty60uzKir3oyAAmDmlC34ZlAZi07gh3TN7Avrg0kysTERERETk/NekihclmJ6PpcBL7/EBOcFXsqccJ/mEg/qtGgtNhdnXFmo+nnWc71GRUr7qE+HqyOzaN277dwLQNxzSpnIiIiIgUWWrSRa6CnMhGJAxYQEbtQRi48Vs/npCZvbEn7jO7tGKvTfVwvru9KS2qhJKV4+LdpXt4bNY24tL0JYmIiIiIFD1q0kWuFi9/Utu/R1LnCbi8g/E8tYnQqTfhs/07TSpXyCL8vRjTpx5PtquOl91gxf54Bn+zjhX74s0uTUREREQkHzXpIleZo3pXEgYtxlG+JUZOBoG/PEXQgvswMjULeWEyDIOBTcrz9ZAm1IjwJz49m0dnbeWdn/eQme00uzwREREREUBNuogpXAHlSOo5hdQWL+C2eeK9bz6hUzrieWSF2aUVezUi/Pnq1sYMbloegOkbj3HbpA3sPJVqcmUiIiIiImrSRcxj2Mho8iCJfWeTE1INe9oJgmcPwn/l65pUrpB5e9h47IbqfNi3HuH+XuyPS+fOyRuYtPYILt16ICIiIiImUpMuYrKc0g1yJ5WrOyR3UrkNnxDyfU/sCXvMLq3Yu65KGFNua0rb6uFkO9188Ns+hs/YwomkTLNLExEREZESSk26SFHg6UfqDW+RdPNnuHxC8YzdQui0zvhs/VaTyhWyED9P3u1Zh+c71sTHw8afBxO56YNlfL/pGE6XfvciIiIicnWpSRcpQhzVOudOKlfheoycTAJ/e5ag+fdgZGgW8sJkGAa9G5Rl4tAm1I4MICkjm5GL93DXdxvZdiLF7PJEREREpARRky5SxLj8y5DUYxKprf6L2+aF9/6FuZPKHV5mdmnFXpUwP768tTEvda+Dv5ed7SdSuHPSBkYu3k1iRrbZ5YmIiIhICaAmXaQoMmxkNLqPhH4/kRNaE3v6SUJ+HIz/8lfBmWV2dcWah83gzlZV+f7ua+hSpzRuYObm4/T7Yg0/bD6uieVEREREpFAViSZ90qRJtG/fnvr169O/f382b978r/sOHTqU6Ojos/7dd999V7FikavDWaouCf3nkVHvNgD8Nv2P0Ond8IjdYnJlxV+Evxev3FyLCQMbUCPCn6TMHN5YvJu7Jm8k5qSGwIuIiIhI4TC9SZ83bx4jR45k2LBhzJo1i1q1anH33XcTFxd3zv0//PBDli9fnvdvzpw52O12OnfufJUrF7lKPH1JbfsmSV2+xOUThkdcDCHTu+G/6k3IyTC7umKvSYUQJg5twmM3VMPfy862Eync/u0G3lqymyQNgRcRERGRK8z0Jv3LL79kwIAB9O3blxo1avDKK6/g4+PD999/f879Q0JCKFWqVN6/FStW4OPjoyZdij1H1Y7E3/IzmTW6Y7id+K3/iNApnfA8usrs0oo9D5vB4KYVmHFnMzrXzh0C//2m4/T7ci0/bjmhIfAiIiIicsV4mPnmDoeDbdu2cf/99+dts9lstGzZkg0bNhToNb7//nu6du2Kn5/fRb23YVzU7qY4U6MVapX8Ci07/1Kkdv4Yx/7e+P/6HB5J+wn5oT8ZdW8lveULuL2DrvAbljzny65UoDevd61F7wZleHvJHvbFpfPaol38sOU4z3SoQa3IwKtbrOSjv5nWpvysS9lZl7KzLmVnPReTleF2m3cJ6OTJk7Rp04YpU6bQuHHjvO3vvPMOa9asYfr06ed9/ubNm+nfvz/Tp0+nQYMGhV2uSNGSmQSLX4J1X+b+HFgWuo6CWl3NrauEyHa6+HrlAd5fvIs0hxObAUOuq8wTHaMJ9vM0uzwRERERsShTr6RfrhkzZhAVFXVJDXpcXApFfYSqYUB4eKAlapX8rk52NmjxGh6VuhC49GnsSfthymCyanQjtc1ruP1KFdYbF2sXk12v2qVoVTGID37dx8IdsXyz6iA/bTzGiLZV6Vo3Epu+3r6q9DfT2pSfdSk761J21qXsrOdMZgVhapMeGhqK3W4/a5K4uLg4IiIizvvc9PR05s6dy4gRIy7pvd1uLHNAW6lWye9qZJddrgXxgxbhv+YDfDd8gveeOXge/p3UVi+RVau/xkFdooJmF+Hvzetda9Orflne+XkP++PTeWXBLmZtPsHTN9YgunRA4Rcr+ehvprUpP+tSdtal7KxL2RVPpk4c5+XlRd26dVm16u+Jr1wuF6tWrco3/P1cFixYgMPhoEePHoVdpkjR5+FLWovnSOw/l+yIetiykgha+jjBP92KLfmQ2dWVCM0qhTDptiaMaFMVX08bm48lc9u363lv6R5SMnPMLk9ERERELML02d3vvPNOpk2bxqxZs9i7dy8vv/wyGRkZ9OnTB4Cnn36aUaNGnfW8GTNm0KFDB0JDQ692ySJFVk6peiT2n0Nqi+dw273xOryMsO9uxHfjp+Byml1esedptzH0mopMv/MaOkaXwuWGqRuO0e/LNczddhITpwAREREREYswvUnv0qULzzzzDGPHjqVnz57ExMTw2Wef5Q13P378OLGxsfmes2/fPtatW0e/fv3MKFmkaLN5kNFkGAmDFuModx1GTgYBK14h5Pue2ONizK6uRIgM9ObNbrUZ368+VcJ8iU/P5uUFO7lv6iZ2x6aaXZ6IiIiIFGGmzu5uptOni/4kC4YBERGBlqhV8isy2bld+GyfjP/KN7A5UnDbPEhvMoz0ZiPA7m1iYUXXlc4u2+niu3VH+XTVQTJzXNgN6N+4PPe3rEyAt6Xn7ixyisx5J5dE+VmXsrMuZWddys56zmRWEKZfSReRQmTYyKw7hIRblpJV9SYMVw7+a8cQOrUzHsfXml1dieBpt3HbtRWZfmczOkRF4HTDlPVH6fvFGuZt1xB4EREREclPTbpICeAKKEvyzZ+RdNMnuHwj8EjYTcjM3gQsexHDoeHXV0OZIB9Gdq/DuL71qRSaOwT+pfk7uX/qJvbEppldnoiIiIgUEWrSRUoKw8BRoxvxg38hs9YADNz4bvmK0O9uxOvgUrOrKzGaVwnlu9uaMqx1FXw8bGw4msyQiet4/9e9pGZpFngRERGRkk5NukgJ4/YJJeXG0ST2mIwzsCL21KMEz7mNwMUjMDLizS6vRPDysHFH80pMv7MZ7WvmDoGfvO4o/b5cy4KYUxoCLyIiIlKCqUkXKaGyK7Yh/pafSW94L24MfHbNJGzyDXjv+gHNQHJ1lAny4e0edRjTpx4VQ3yIS3Pwn3k7eGDaZvae1hB4ERERkZJITbpISebpR1rrl0jsO5ucsGhsmfEELR5O0Nw7sKUcM7u6EqNl1TCm3N6MB1tVwdvDxvojSdw6cT0f/LqPNIeGwIuIiIiUJGrSRYScMk1IGDCftGufwG3zxPvgz4R+1x6fLV+D22V2eSWCl4eNu66rxLQ7mnFDjXCcLjeT1h2h/5drWbRDQ+BFRERESgo16SKSy+5F+jWPkTBwIdllmmLLTiVw2QuEzOqHPWGP2dWVGOWCfXi3Z10+6F2PCiE+xKY6eGHuDh6avpl9cRoCLyIiIlLcqUkXkXycYVEk9p5JyvWv4vbww/P4n4RO6YTf2rHgzDa7vBKjVbXcIfD3t6yMt4eNtYeTGPzNesb+to90h9Ps8kRERESkkKhJF5Gz2exkNriL+FuW4qh0A4bLgf/qdwid3gWPU5vMrq7E8PawcU+Lyky9oyltqucOgZ+49gj9v1zD4p2xGgIvIiIiUgypSReRf+UKqkBSt4kkdxiDyycUj7gYQmZ0x3/Fa5CdYXZ5JUb5YF9G9arL6F51KRfsw6lUB8/PiWHYjC0ciEs3uzwRERERuYLUpIvI+RkGWdF9iR/8K5k1e2K4XfhtnEDYlA54HllhdnUlyvXVw5l6e1Pua1EZL7vBmkOJ3PLNOj5ctl+zwIuIiIgUE2rSRaRA3L7hpHQaT1LXr3EGlMWefJCQ2QMJWPokRmai2eWVGD6edu5tWZmpdzSjdbUwclxuvllzmJ6f/smXqw+RmqVmXURERMTK1KSLyEVxVLmRhFuWklHvdgB8Y6YQ+l17vPbOM7mykqVCiC/v967HqF51qRjiQ1JmDh8tP0DPz/7k01UHSclUsy4iIiJiRWrSReSiub0CSW37Bgm9Z5ITUh17+imCF9xH0Px7saWdNLu8EqVN9XCm3XkNr9wcTeVQX5Izc/jfyoP0+Gw1E1YcIClDM/KLiIiIWImadBG5ZDnlriVh4ELSmo7AbfPAe998Qr9rj8/270Azj181HjaDLnUimXpHM97oWouq4X6kZjn57I9D9PzsTz5avp/EdDXrIiIiIlagJl1ELo+HD+nXPU1C/3lkl26ILSuJwF+eInj2IGxJB8yurkSx2ww61SrNlNub8lb32tQs5U+aw8mXqw/T47PVfLhsH/HpDrPLFBEREZHzUJMuIleEM6IOiX1nk9ryP7g9fPA6uoKwKR3w3fAJuHR/9NVkMwxujCrFt0Ob8G6POkSXDiAj28U3a47Q49M/ef/XvZxOzTK7TBERERE5BzXpInLl2DzIaHw/8YOW4CjfCiMnk4CVrxM69Sa8DvysIfBXmc0wuKFmBBOHNGZ0r7rUKRNIVo6LyeuO0uvzNby3dA+nUtSsi4iIiBQlatJF5IpzBVchqecUUtq9i8s7GI/4nQTPvZ3g2QPxOLXJ7PJKHMMwuL56OF8NbsTYvvWoXzaIrBwXUzcco9fnf/L2kt2cSM40u0wRERERQU26iBQWwyCzzi3ED1lBeuMHcNu98Tq6ktDpXQlcNAxb0kGzKyxxDMOgRZUwPr+lIeP71adx+SCynW5mbDpO78/X8ObiXRxLUrMuIiIiYiY16SJSqNw+IaS1fJH4wb+RGd0XNwY+u2cTNvkG/Je/jJGZYHaJJY5hGFxbOZT/DWrEJwMa0KxiMDkuN7M2n6DPF2t4beFOjiRmmF2miIiISImkJl1ErgpXUAVSOowhccB8HBXbYLiy8dv0GWETW+G7fjzkqCk0Q9OKIXw8oCH/G9iQ5pVDcLrc/Lj1JP2+WMPL83dwMD7d7BJFREREShQ16SJyVeWUqkdSj8kkdp9ETngdbI5kAlaNJGxSG7x3TAeX0+wSS6TGFYIZ168Bn9/SiJZVQ3G6Ye72Uwz4ai0vzo1hX1ya2SWKiIiIlAhq0kXEFNmV2pIwYD7JN36AM6Ac9tTjBP38GKHTOuN56FfNBG+SBuWCGNOnPl/d2pjrq4XhcsPCHbEM+modz/0Uw55YNesiIiIihUlNuoiYx2Ynq1Y/4m/9jdQWz+PyCsIjLoaQn4YQ/ONgPGK3ml1hiVW3TCCje9fj2yFNuKFGOG5gya5YbvlmHU//uJ2dp1LNLlFERESkWFKTLiLm8/Alo8lDxA9dQXrD+3DbvPA68juh0zoTuHgEtuQjZldYYkVHBvBuz7pMvq0JHaIiMIBfdp9myMT1PPHDNrafSDG7RBEREZFiRU26iBQZbp9Q0lr/l/hbfyWzZi8AfHbNJGxSG/xXvIaRmWhqfSVZzVIBjOxeh+9ub8pNtUphM2DZ3jhun7SBR2duZevxZLNLFBERESkW1KSLSJHjCqpESqdxJPSfh6N8SwyXA7+NEwj7thW+Gz6BHK3lbZbqEf683rU2U+9oRtc6pbEZsGJ/PHdO3sjDM7aw6WiS2SWKiIiIWJqadBEpsnJKNyCp51SSun1DTlg0tqwkAla+Ttiktnjv/B7cLrNLLLGqhPnx8s21mHHnNXSvG4ndgD8OJnDPlE08OH0z6w4nml2iiIiIiCWpSReRos0wcFRuT8LARSS3H4XTvwz21KMELXmEkGld8Dz8u9kVlmgVQ335b+dovr/7GnrVL4OHzWDtoUQemLaZ+6Zu4s+DCbg1U7+IiIhIgalJFxFrsNnJqj2Q+Ft/J/W6Z3F5BeJ5eishP95C8E+3Yj+93ewKS7Tywb680CmKmXdfQ9+GZfG0G2w4ksSwGVu4Z8omVh2IV7MuIiIiUgBq0kXEWjx9yWg6nPghK0hvcDdumydeh34jdOpNBP78GLaUY2ZXWKKVDfLh2Q41mXX3tQxsXA4vu8HmY8mM+H4rd07eyPJ9cWrWRURERM5DTbqIWJLbN4y0618hfvAvZNbogYEbnx3TCZt0Pf6r3sTI0gRmZooM9ObJ9jWYfc+1DG5aHm8PG9tOpPDYrG3c9u0Glu4+TY5TcwqIiIiI/JPhLqGXNE6fTqGof3LDgIiIQEvUKvkpu6vP4+QG/Fe+jtex1QC4vENIb/YIGfVvA7t3gV9H2RWOuDQHk9YeYfrGY2Tm5DbnIb6edIouxc11SlO3TCCGYVzWeyg7a1N+1qXsrEvZWZeys54zmRVoXzXpRZdOPutSdiZxu/E6+DP+K9/AI2E3AM7AiqRd9wxZNXuAceHBQ8qucCWkO/hu/VFmbzlBfHp23vZKob7cXLs0N9cpTflg30t6bWVnbcrPupSddSk761J21qMmvQCscEDr5LMuZWcyVw4+O6bht3oU9vSTAGSXakBayxfIrtDqvE9VdldHjsvNnwcTmLf9JL/uiSMr5++h743KB3FznUg6REUQ5ONZ4NdUdtam/KxL2VmXsrMuZWc9atILwAoHtE4+61J2RUR2On6bPsV3/UfYstMAyKrcnrQWz+MMr3XOpyi7qy/NkcMvu08zb/sp1h5K5Myv3dNu0LpaOF1ql6ZVtTA87ecfCaHsrE35WZeysy5lZ13KznrUpBeAFQ5onXzWpeyKFiP9NP5r38dn2yQMVw5uw0Zmrf6kX/skroCy+fdVdqY6mZLFoh2nmLf9FHtOp+VtD/bxoEN0KbrUiaR+2XPfv67srE35WZeysy5lZ13KznrUpBeAFQ5onXzWpeyKJnviPvz/eAvvvfMAcHv4kN7wXjIaP4jbOwhQdkXJrlOpzNt+ioU7TnE6zZG3vUKIT+7967UjqRj69/3rys7alJ91KTvrUnbWpeysR016AVjhgNbJZ13KrmjzOLGOgJWv43l8DQAunzDSrnmUzLpDMDy8lF0R43S5WXsokXkxJ/ll92kysv++f71+2SC61ClNh+hShPp5KjsL099N61J21qXsrEvZWY+a9AKwwgGtk8+6lJ0FuN147V+E/6o38UjcC4AzqDJpLZ8jqPkgTselKrsiKCPbyS+7TzM/5hR/HkzA9VdGHjaDVtXCGNS8Mg1L+V3w/nUpevR307qUnXUpO+tSdtajJr0ArHBA6+SzLmVnIa4cfLZPwf/PUdgyYnO3lW1ESt07yKzeFTwubTkwKXynU7NYuCOWedtPsiv27/vXA7096BAdQZfakTQsH3TZ66/L1aG/m9al7KxL2VmXsrMeNekFYIUDWiefdSk7C3Kk4bdxAn4bP8HITgfA5R1CZq0BZNYbgjOkmskFyvnsOZ3G/O0nWbTzNCeSM/O2lwvypnOdSLrULk3lMD8TK5QL0d9N61J21qXsrEvZWY+a9AKwwgGtk8+6lJ112TJOE35gBs41X2JPOZq33VG+FRn1huKo2gnsXiZWKP/GMCA0LIBFGw8zd9splu46TXq2M+/xumUC6VKnNB2jSxHqpwyLGv3dtC5lZ13KzrqUnfWoSS8AKxzQOvmsS9lZV152pxLxPPgrPtsm4nXgZ4y/Vu92+ZYio84gMusMxhVU0eRq5f/753mXme3ktz1xzIs5yeoDCTj/OhftNoMWVULpUieS66uF4eNpN7dwAfR308qUnXUpO+tSdtajJr0ArHBA6+SzLmVnXefKzpZ8BJ+Y7/DZ/h329FMAuDFwVG5HZr3bcFRqBzY1emY733kXl+Zg0c5Y5m8/SczJ1Lzt/l52OkSV4uY6pWlcIRib7l83jf5uWpeysy5lZ13KznrUpBeAFQ5onXzWpeys67zZObPxOrAI360T8Tqy/O/NAeXIrHsrmbUH4fKPvLoFS56Cnnf749KZH3OS+dtPcSIlK297mUBvOtcuTZc6kVQN1/3rV5v+blqXsrMuZWddys561KQXgBUOaJ181qXsrKug2dkT9+GzbRI+MVOxZSUC4LZ54KjaiYy6Q8mu0AoMLQN2NV3seedyu9lwJIn520+xZFcsaY6/71+vHRnAzXUi6RRdinB/3b9+NejvpnUpO+tSdtal7KxHTXoBWOGA1slnXcrOui46u5xMvPfOxXfbt3geX/P35uAqZNYdQmatAbh9wwqvYMlzOeddZraT5fvimbf9JCsPJOD8awF2uwHNq4TSpXYkbWuE6/71QqS/m9al7KxL2VmXsrMeNekFYIUDWiefdSk767qc7OxxMfhu+xbvHd9jy86979lt9yarelcy6g0lp0yz3DeQQnGlzruEdAeLd8Yyb/sptp1Iydvu52mnXc1wOtcuTbNKoXjYlOWVpL+b1qXsrEvZWZeysx416QVghQNaJ591KTvruiLZOdLw2TMbn60T8Yzdkrc5JyyajHpDyYrqg9s76MoULHkK47w7EJ/OgphTzI85xbGkv9dfD/f3olN07oRztUoHYOjLl8umv5vWpeysS9lZl7KzHjXpBWCFA1onn3UpO+u60tl5nNyIz7aJ+OyejZGT2+S5PXzJjOpFZt2h5JRucPlvIkDhnndut5vNx5KZH3OKJTtjScrMyXuscqgvnWuXpnPt0lQI8b2yb1yC6O+mdSk761J21qXsrEdNegFY4YDWyWddys66Cis7IysJ753f47v1WzwSduVtzy7dMPfe9Zo9wVMzil+Oq3XeZTtdrDqQwIKYUyzbG0dWjivvsfplg7i5Tmk6RpUixM+z8IoohvR307qUnXUpO+tSdtZjuSZ90qRJfP7558TGxlKrVi3+85//0KDBv19dSk5O5v3332fx4sUkJiZSvnx5nn/+edq2bVvg97TCAa2Tz7qUnXUVenZuN57H/8Rn60S8987DcDkAcHkFkRndl8y6Q3CGRxfCGxd/Zpx3aY4cft0dx/yYk6w5lMhf881htxm0qBLKzbVL06a6JpwrCP3dtC5lZ13KzrqUnfVYqkmfN28eTz/9NK+88goNGzbk66+/ZsGCBSxYsIDw8PCz9nc4HNxyyy2Eh4dz//33ExkZybFjxwgKCqJWrVoFfl8rHNA6+axL2VnX1czOyIjDJ2Yavtu+xZ58MG+7o2xzMusNIat6F7B7F24RxYjZ593p1CwW7YxlQcwpYk6m5m3XhHMFY3Z+cumUnXUpO+tSdtZjqSa9f//+1K9fn//+978AuFwu2rZty9ChQ7nvvvvO2v+7777j888/Z/78+Xh6XvpQwri4on9AGwaEhwdaolbJT9lZlynZuV14Hl6Oz9aJeO1fhOHOXa/b5RNGZu0BZNa9FVdI1atUjHUVpfPuQFw682NOsSDmFEf//4Rzfp50ql2am2uXpnakJpz7/4pSfnJxlJ11KTvrUnbWcyazAu1rZpPucDho1KgRY8eOpUOHDnnbn3nmGZKTk/n444/Pes69995LcHAwvr6+/Pzzz4SFhdGtWzfuvfde7HYNJxQRi0s+BusnwvqvIfno39urtYNmd0H0zWDXvc5W4Xa7WX8ogR82HGPO5mMkpGfnPVatlD+9GpWnV6PyVArXfAQiIiKSy8PMN09ISMDpdJ41rD08PJx9+/ad8zmHDx/mjz/+oHv37vzvf//j0KFDvPLKK+Tk5DB8+PACv7cVvnXSN2TWpeysy/zsAqHeQ1DnPrwOLs1dxu3grxj7foF9v+D0jySrzi1k1hmMK7CcGQUWWeZnd26V/T15pHVlhrWoyKoDCcyPOcVve+LYF5vG6MW7GL14Fw3KBdG5dmk6RkcQ6udldsmmKKr5yYUpO+tSdtal7KznYq6km9qkXwq32014eDivvfYadrudevXqcfLkST7//POLatLdbixzQFupVslP2VmX6dkZHmRV6URWlU7Ykg/hu20yPjFTsKedxG/NB/iuHYujcgcy6w3BUbEt2DSS6AzTs/sXdpuN1tXCaV0tPG/CuQUxp/jzUAKbjyWz+Vgyo37ZS4sqoXSuVZq2NUrmhHNFNT+5MGVnXcrOupRd8WRqkx4aGordbicuLi7f9ri4OCIiIs75nFKlSuHh4ZFvaHu1atWIjY3F4XDg5VUyr0CISPHlCqpEWotnSbv2cbz3LcRn20S8jq7E+8AivA8swhlYkaya3XFUbk92mWZgs9z3ryWOv5cHXetG0rVu5FkTzi3fF8/yffH4edq5oWY4N2vCORERkRLF1P8n5+XlRd26dVm1alXePekul4tVq1YxZMiQcz6nSZMmzJkzB5fLhc1mA+DAgQOUKlVKDbqIFG92L7JqdierZnfsCXvw2fYtPjumY085jN/6j/Bb/xEuryAcldriqNweR6UbcPuVMrtquYCIAG8GN63A4KYVOBCXzoIdp5gfc4pjSZnM236KedtPEebnSadamnBORESkJDB9dvd58+bxzDPP8Oqrr9KgQQO+/vpr5s+fz/z584mIiODpp58mMjKSJ554AoDjx4/TtWtXevfuzZAhQzh48CDPP/88Q4cO5cEHHyzw+1phuQItrWBdys66LJddTgbe+xfhdeBnvA79gi0zId/D2aUb5jbslduTU7ohGDaTCi18lsvuPNxuN1uOpzB/+0kW74wlKTMn77FKob7cXLs0nWuXpkKIr4lVXlnFKb+SRtlZl7KzLmVnPRezBJvpYyK7dOlCfHw8Y8eOJTY2ltq1a/PZZ5/lDXc/fvx43hVzgLJly/L5558zcuRIevToQWRkJLfddhv33nuvWR9BRMQ8Hr5k1exJVs2e4HLicWojXgeX4nXwFzxjN+N5ahOepzbhv+Z9XL7hOCrdgKPyjTgqtsHtE2J29fIvDMOgQbkgGpQL4ol21fnjYALzt5/it71xHErIYMLKg0xYeZD6ZQPpXDuyRE84JyIiUtyYfiXdLFb41knfkFmXsrOu4pSdLe0knod+xfvgUjwPL8PmSMl7zG3YyCnTjKy/rrI7w2vnfngLK07Z/Zt/Tjjn+utz2m2G5SecKwn5FVfKzrqUnXUpO+u5mCvpatKLMJ181qXsrKvYZufMxvPE2r+usi/FI35n/of9y+QNi8+u0Bq3V4BJhV66Ypvdvzid5mDRjlN5E86d4etpo13NCG6MKkWDskGE+HmaWGXBlbT8ihNlZ13KzrqUnfWoSS8AKxzQOvmsS9lZV0nJzpZ8BK9Dv+Q27UeWY+Rk5D3mtnmSXa75X037jThDqlniKntJye5cDsSnsyAmt2E/mpSZ77EKIT7ULRNI3bJB1CsTSFTpALw9it7cBCU5P6tTdtal7KxL2VmPmvQCsMIBrZPPupSddZXI7HIy8Tz2B14Hl+J94GfsyQfzPewMqoyjcrvcpr18C/AompOVlcjs/uHMhHMLYk6x+mAChxIyztrHw2ZQs5Q/9coGUa9sIHXKBFIp1BebyV/EKD/rUnbWpeysS9lZj5r0ArDCAa2Tz7qUnXUpO7An7vt78rmjqzBcjrzH3B4+OMq3yhsa7wqqaGKl+Sm7syVnZrP9RApbj6ew7UQK246nkJCRfdZ+gd4e1CkTkHe1vW7ZQMKu8kR0ys+6lJ11KTvrUnbWY6nZ3UVEpGhxhlQjI6QaGQ3vAUcaXkdX/NW0/4w99TjeB3/G++DPAOSE1vz7Xvay14BdM4wXJUE+nlxXJYzrqoQBuVfajydnsfV4cl7TvuNUKilZOaw+mMjqg4l5zy0X5E3dskHULRNIvbKBRJcOsOSEdCIiIlajJl1ERP6dlz+Oqp1wVO0Ebjf2+B15k895Hl+LR8JuPBJ247dxAi7PALIrXv9X094Ol38Zs6uXfzAMg3LBPpQL9qFTrdIA5Dhd7DmdxrYzV9yPp3AgPp1jyVkcS45l8c5YAOwG1CgVQL2ygX/d4x5IlTA/04fJi4iIFDca7l6EaRiLdSk761J2BWdkJeF5+He8/2rabRmn8z2eHVEv7yp7TmRjsBXuVVhld+WkZuWw/cTfQ+S3nkghLs1x1n7+XnZqlwmk3l9X2+uWCSQiwPuS3lP5WZeysy5lZ13Kznp0T3oBWOGA1slnXcrOupTdJXK78Ijd8vcSbyc3YvD3L9DlHYKjUlsclW/EUekG3L5hV7wEZVd43G43J1Oy/r7afiKFmBMpZOa4zto3MtA739X22pGB+BZgmLzysy5lZ13KzrqUnfWoSS8AKxzQOvmsS9lZl7K7MoyMuL+WePsFr0O/YstKynvMjUFOZGMcVTqSVbUjzrDoK7LEm7K7unJcbvb9NUx+21+N+764NFz/+N3bDKge4Z93b3vdMkFUDffDbsufufKzLmVnXcrOupSd9ahJLwArHNA6+axL2VmXsisErhw8Tm74+17209vyPewMrEhWlQ44qnYiu1zzS558TtmZL82Rw46TqXlD5LcdT+ZU6tnD5H09bdSO/Ktp/2tyujJB3srPonTuWZeysy5lZz1q0gvACge0Tj7rUnbWpewKny31OF4Hf8Zr/2K8jizHcGblPebyCsRR6QYcVTrgqNwet09ogV9X2RVNp/4aJr/tr6Z9+4lU0rOdZ+1XKsCLJpVDqRnmR72/hsn7eWk2eSvQuWddys66lJ31qEkvACsc0Dr5rEvZWZeyu8qy0/E6shyv/YvwPvAztozYvIfcho3sstfgqNIRR5WOOEOrn/ellJ01OF1uDsSn/3W1PZltx1PYezoN5zmGyVcL96du2b8mpisXRNWws4fJi/l07lmXsrMuZWc9atILwAoHtE4+61J21qXsTOR24XFyI14HluB9YDEecTH5Hs4JqZbbsFftSHaZZmDLv4qosrOujGwnO0+lsj85i9V7TrP1eAonU7LO2s/P006dMgHULRuUN6P8pc4mL1eOzj3rUnbWpeysR016AVjhgNbJZ13KzrqUXdFhSz6c17B7Hl2F4crOe8zlHZy7vFuVTjgqtcXtHaTsLO6f+Z1OzWLr/7u3/d+GyZ+ZTb7eX417rcgAfAowm7xcOTr3rEvZWZeysx416QVghQNaJ591KTvrUnZFk+FIwfPQb3gfWJy7JntmQt5jbpsH2eWuw1G1IwFNenHaGa7sLOhC557z/9q78+A4yjtv4N/unvvUMSPr8iF8yKcsmeu1Y+M4OEAgriwh5t2qEBJeJ9mwSTYUbAFbW2RjUokJyVKBQLLZxRCTDWE34BwE4l2cvJDktVkM+IbYsvGly5qRNPfd3e8fPZrRWKPLtjTT0vdTpRpNT3erx795Zvyd5+l+FBWn+mI40h3KBvfiV5OXBGCB15GbBm55nQtzq6wQL8MMAlQc3zf1i7XTL9ZOfxjSx0EPL2g2Pv1i7fSLtdMBJQNjzzswnX4NptO7YRg4UfBwpqo5N71bpqYVENmrqgcX0/YGryZ/pDushffuMPzR4VeTd5glLB1yNfnldU5U2S5uFgEaju+b+sXa6Rdrpz8M6eOghxc0G59+sXb6xdrpjxT4QBsWf+q/YezeB6j5IdGK1YPk3OuRatqIVON1gMlewiOl0VyOtqeqKs5nryZ/pDs7TP58BMmMMmzdercFy2ud2oXp6lxornHAbBAv8VnMTHzf1C/WTr9YO/1hSB8HPbyg2fj0i7XTL9ZOvwQB8NjSCO//LYynXoPp7P+FmArnHlclM1INa5BqugGpeddDcdSX8GjpQpPV9jKKipP+aK6n/Wh3GKf6Y8PWM4gCFnrt2rnt2eA+u8ICgcPkx8T3Tf1i7fSLtdMfhvRx0MMLmo1Pv1g7/WLt9GtY7eQUjF1vwXT6NZhPvwYpdLZg/bRnOVJN2vRuGe8KbQdUMlPZ9iLJTHbe9vww+YF4eth6bosBS2vzw+SX1TpRYTVO7sHpEN839Yu10y/WTn8Y0sdBDy9oNj79Yu30i7XTr1Frp6qQ+o9nA/tuGHregYD8SrJ9Vm4+9lTjGsBgndqDp5K2PVVV0RVKZEO79nOsN4zUhZO3A5hdYclNAbei3oVFNQ4YZvjc7Xzf1C/WTr9YO/1hSB8HPbyg2fj0i7XTL9ZOvyZSOyHmh+nMH2A+/d8wnf0jhEx++LNqsCI1+zqk5m1Ect5GqDbvJB85AeXX9tKygnZfVBsi36P1tp8diA9bz2aU0NLgwqpGN1Y1urFklhOmGXZue7nVjsaPtdMv1k5/JhLSDZN8LERERGVHtXmQXHI7kktuBzIJmDr3wHR6N0ynX4MU6Yb51H/BfOq/4ICAzKzWbA/7h7Rh8RKvCj4TGCURS2udWFrrBKBdvyAYT+eHyfeEcKgrhEhSxpunB/DmaW1aQLNBxIo6J9oa3WhrdGNFnYvzthMR0YSwJ72M8Rsy/WLt9Iu106/LUjtVhcF/VJve7dRrMPoOFT4smZGe1YpM7dVI112NdO2VUC0Vl3zspM+2J2cvSvduRxD7sz8XnttuEAUsrc2H9pX1LjjM06uPRI+1Iw1rp1+snf5wuPs46OEFzcanX6ydfrF2+jUZtROjPdke9j/A2LMPYmJg2DqZqmaka6/SQnvd1VBcc3gRuoswHdqeqqo43R/H/o5ALrj3RgrnbRcFoLnGoYX2BjdaG926vxjddKjdTMXa6Rdrpz8M6eOghxc0G59+sXb6xdrp16TXTlUhBU7C2L0Pxu59MHTvgyF4athqsq0GmbqrkM72tmc8ywBJ3yFsKkzHtqeqKjqDiVwv+/7OIDoCiWHrzffY0Nag9bSvanTD4zCX4Ggv3nSs3UzB2ukXa6c/DOnjoIcXNBuffrF2+sXa6VcpaifE/DD2vJ0P7r7DEJTC4c6qwYr0rFak665BuvYqZGqvhGp2Tc0B6shMaXvnw0kcyAb2d88Fi87ZPqfSirYGN1bN1oJ7nctSgiMdv5lSu+mItdMv1k5/GNLHQQ8vaDY+/WLt9Iu106+yqF0mDmPvIRiyod3Y8zbEZLBgFRUC5OrmXGhP110Nxdk444fIl0X9SqA/lsKBzhD2dwTx7rkA2n1RXPj0a51mLbBne9vnVFohlNHrZabWbjpg7fSLtdMfhvRx0MMLmo1Pv1g7/WLt9Kssa6cqkAZO5Hrajd37IIXODFtNts9Cuu4aZLKhPeNZCojT6+JiYynL+pVAOJHBwS6tl31/ZxDv94Rx4XTt1XZTwfD4Kzw2iCUM7aydfrF2+sXa6Q9D+jjo4QXNxqdfrJ1+sXb6pZfaCdHewiHy/iMQlEzBOqrBhnTtqlxPe6Z2FVTT+D7Y9Uov9ZtqsZSMw10hvNupndd+tDuE1AWp3W0xoDUb2tsa3VhU44BBnLrQztrpF2unX6yd/nCedCIiojKl2muQmn8zUvNv1hak4zD2HshdjM7Y8w7EVAimjj/D1PFnbRtBRKZ6ScEF6RRnQwmfBU0Vm0nCtfMqce28SgBAMqPgaE8odzG6Q10hBBMZvHGyD2+c7AMA2E0SWupduZ72pbVOGCWxlE+DiIgmgCGdiIiolIxWpBtWI92wWruvKpD6j+eHyPe8DSl0Fkb/URj9R2E9vAMAIDvqs3O1X4V03TWQqxcDolTCJ0JTwWwQsaqxAqsaKwAAGVnBX3oj2jntHUEc6AwikpSx9/QA9p4eyG2zok6bq31lgxsr6lywmfhaISIqVxzuXsY4jEW/WDv9Yu30azrXToz2wND9di60G3xHIKhywTqK0YFMboj8NUjPagNM9hId8cRN5/pNJVlRccIfzU/71hHEQLxwxgFRABZ6HVhZ78LKBhda6l2ovYQryLN2+sXa6Rdrpz88J30c9PCCZuPTL9ZOv1g7/ZpRtUvHYDy/Pxva98HQ8y7EVLhgFRUC5Mr5yHiWI+NdgYx3OTLe5VDN7hId9OhmVP2mkKqqON0fx/6OAN7tCOJgZwg94eSw9WY5zbnQvrLejQVeO6RxntfO2ukXa6dfrJ3+MKSPgx5e0Gx8+sXa6Rdrp18zunaKDKn/WOEQ+XBH0VVl11ykc6Fdu1Wt1VN8wMPN6PpNsfPhJA52auezH+wMod0XGXYFeZtRwvI6Zy60L693wm4qfpYka6dfrJ1+sXb6w5A+Dnp4QbPx6Rdrp1+snX6xdoWEmA8G3xEYfUdg8B+GwXcEUuhs0XVlR/2Q3nbtVrHXTu3xsn4lE0vJONIdwsGuEA51hnC4O4RoqvB0ClEAFnjsWNngzvW4Dw6RZ+30i7XTL9ZOfxjSx0EPL2g2Pv1i7fSLtdMv1m5sQmIABt9RGHyHYfAf0W4DHxRdV7bVFIT2jGeFdkX5SZqPm/UrH7Ki4qQ/ioNdoVyPe3do+BD5GodJC+0NLnx4WR08RgFSCedrp4lju9Mv1k5/GNLHQQ8vaDY+/WLt9Iu10y/W7uIIqTAM/ve0wO7Tgrs00A5BVYatq5grhvW4y+55gHDp03uxfuWtN5wsCO3He4sPkV9W58TKehdaG0YfIk/lge1Ov1g7/WFIHwc9vKDZ+PSLtdMv1k6/WLvLKB2Hoe+9XGg3+I7A0H8MgpIetqpiciLjWVYQ3uWK+ROeDo7105dYSsbRHu2c9kNdIRzpDiOczBSsM9oQeSoPbHf6xdrpz0RCOr/eJCIiokJGKzK1VyJTe2V+mZyEof+4Ftp7D2u3fe9DTIVh6noTpq43c6uqBisynqW5YfJp7wrIVQsByVSCJ0OTwWaScPWcSlw9pxKCAFRWOfDWsR4c6Bg8tz2IrlASx31RHPdF8YsDXQCGDJHPhvYFXgcM47yKPBHRTMGQTkRERGOTzNne8hXA0uwyOQ0pcCLX4270HdHmcM/EYOx5B8aed3Kbq6IJmerFuX1kvMuRqV4MGNizOh1IooCFXgcWeBz4VGs9AMAXSeJgZyg3TP54bwS9kRReO+bDa8d8AACrUcTyOlcutC+vc8Fh5n9PiWhm47sgERERXRzJCLl6CeTqJUgu3qwtU2RIwdMw+A4VDJcXUyEYfYdg9B3Kba4KEuSqRbnQjgXXQDDOg2p0lOgJ0eXkdZixsdmLjc1eAEA8LeNodxgHu7T52g93hxBJyth3NoB9ZwMAtCHy8z32bGh3Y3mdEw1uCwRekI6IZhCek17GeK6JfrF2+sXa6RdrV8ZUFWLobL633a8NmRcT/cNXhQDZPS87VH5Z9nY5VJunBAdO43GxbU9WVJzqi+VC+8GuELqCiWHrOcwSFnodWOS1Y5HXgUU1djRV22E2XPoFC2c6vm/qF2unP7xw3Djo4QXNxqdfrJ1+sXb6xdrpjKpCjHRne9oPw+g/AlPfe0C4q+jqsn0WMp7lBeFdcc6etCnhaPwuZ9vzRZI41BXKhfbjvRFklOE7lQRgXrUNi7wOLPTasahGC/GVNl73YCL4vqlfrJ3+MKSPgx5e0Gx8+sXa6Rdrp1+snb4N1q/v7ClIvqPZedy1WylwCgKGF1Uxu7UL1HkGg/syyJULAZFn802lyWx7aVnB6f4YjvdGcdwXwXFfFO29EQQTmaLrex2mXG/7YO/77EorRH6ZUxTfN/WLtdMfXt2diIiIdEm1eZCesx7pOetzy4RUBFLf+9o57oPhvf8YxGQQps69MHXuzW8vmbUL1OWGyi9DpnopYLSW4unQJTJKIhZ6HVjodeAWzAIAqKqK8+Ek2n3Z4N4bRbsvgnOBBHyRFHyRfvy/U/lTKaxGEQs8+d72RTUOzPfYYTVObJpAIqKpwpBOREREZU01OZCpuxqZuqvzC+UUpP72bGg/AqP/KCT/UYjpKIy9B2HsPZjfXhAhV8wvOMc9410G1VJZgmdDl0oQBNS6LKh1WbBufnVueTSVwYnslG/He7Ve95P+KOJpBYe7wzjcHc7vA8CcSisW1eSHyzd77ai2m3iROiIqOYZ0IiIi0h/JBNm7DLJ3GZJL/re2TFWyV5bPDpfP9rqLcT8MA+0wDLQD7b/K7UJ2NAy7QJ3iqON57jplNxm0Odgb3LllGUXFuYF4LrRrPe8R9MfSODMQx5mBeG46OACotBqxqEa7QN3C7O3cKhvncieiKcWQTkRERNODIEKuuAJyxRVILtykLVNViLHz+eDuOwKD/yik0FlIkU5IkU6YT/1XbheKpTLX0z54oTrZ3QSIHBqtRwZRQFO1DU3VNty4JL/cH02hfchQ+eO9UZwZiGEgnsb/nAngf84EcuuaJAHzPfaCc90Xeu2cz52IJg3fXYiIiGj6EgQo9lqk7LVIzbs+vzgZhMF/FAb/e7lz3aX+doiJAZg6/gRTx59y66oGa/YCdcvyve5VzYDBUopnRJeBx26Cx16F1fOqcssSaRkn+2Jar3tvBO2+KNp9UcTSMt4/H8H75yMF+2hwW4ZcWd6B5ho7ZjnNHC5PRJeMIZ2IiIhmHNXsRrphDdINa/ILMwkY+o/letsNviMw9L0HIROHsecdGHveyW8vGiC7myC7ZkNxNkJ2NuZuZWcjVJuXw+Z1xmKUsKzWiWW1+asvK6qKzkAC7b4IjmXPdW/3RXE+nERnMIHOYAKvn+jLre80G1BhNcBilGAxSLAYRViNEiyG7K1RzD6Wvz/4uKXgfvb37K3ZIDL8E80gDOlEREREAGCwIFOzEpmalflligwp8EHBUHmD7wjEZCB/nnsRqmQuCO6KsxGyK/+7Yp8FCOIUPTG6WKIgYHalFbMrrfjIIm9ueSCeRrtPC+yD57t/0BdDOJlBOFl8erhLNe6gP4EvB6xGEc4K26QcLxFdPIZ0IiIiopGIEuSqhZCrFiK56FZtmapCjHRBGjgBKdwBMdwBKfsjhs5BjJ6HICdhCJwEAieL7lYVjVAc9ZBdsyE7G6A4Z2sB3tUI2dEIxVHL+d7LWIXViKvnVOLqOfkZAlIZBWcDcUSTGcTTMhJpBfFM9jYtI5lRcssTGRnxtIJEkftD103J+QmwExkFiYwCxC/vczFKAhbXONBS70ZrgwsrG1yotJku7x8hognhuz8RERHRRAgCFGcDFGcD0sUel1NaiA93Qgqdy4X43G2kG4KShhQ6Ayl0puifUAUJiqOucBj90KH1jjpAYpAqJyaDNh/75SQrKhJDgn4iM1KwV5DMyPkvB4auO+TLgQv3EU/LSMtqboq6n2XP6JhTadUCe70bKxtcmFNp5XB7oilUFiH9Zz/7GbZv3w6fz4fFixfjoYceQktLS9F1d+7ciX/4h38oWGYymXD48OGpOFQiIiKi0UkmKO55UNzziod4JQMx0gMp0gExNBjgz+VDfaRLC/HZUF+MCgGKo7bgPPhcgHfNhuyo54XtpgFJFGA3GWCftO9jVCQkA/7vkS4c6AjhYFcQJ/0xnB2I4+xAHL85ch6ANjXdygaXNsVdvQuLZzlglHi6BtFkKXlIf/XVV7Ft2zZs3boVK1euxI4dO7Blyxbs2rUL1dXVRbdxOBzYtWtX7j6/2SMiIiLdEA1QXNrQdtQXeVxVIEbPQwx3Qgqf025D5wpCvSAnIUW6IUW6YezeV/TPyLaaIcE9G+bdV0CuvAKKnfPBk/Z/6NlVNty8dBY+tmQWACAYT+NwdwgHO0M42BnE0Z4wBuJpvH6iL3eRPLNBxNJaZ3Z4vBstdS44LSWPFUTTRslb07PPPovbb78dt912GwBg69ateP311/HSSy/hi1/8YtFtBEGA1+st+hgRERGRrgkiFEcdFEcdMnVXDX9cVSHE/VpwD3fmeuGH9sYLmRikWC+kWC+M598dtgvFaIdcMV+bV75yATKVC7JzzDcBBusUPEkqV26rEWuvqMbaK7TOslRGwV96IzjYGcTBzhAOdAYRTGSwvyOI/R1BAOcgAJjvsWd7211obXCjltPREV20kob0VCqFo0eP4m/+5m9yy0RRxJo1a7B///4Rt4vFYtiwYQMURcHSpUtx7733YuHChRP623p4zxg8Rj0cKxVi7fSLtdMv1k7fWL8JEATA7oVs90KuWzX8cVWFkAhkQ/uQIfWhc5ACH0AKnoaYjkL0HYLRd6hwUwjacPlseJcr50OumI9M5YIRp5Vj7fRrPLUzG8Vc+AYAVVVxpj+OA11BHOwI4WBXCGcH4jjhj+KEP4qXDnYDAGocJm14fDa0L/TaIYl8kVwubHf6M5FaCaqqqmOvNjnOnz+P6667Di+88ALa2tpyyx999FHs27cPv/jFL4Zts3//fpw5cwbNzc0Ih8N45plnsG/fPrzyyiuora2dysMnIiIi0p9MChg4DfS1A/7jgL89+3MMSARH3s7sAjwLAc8ioHqBdutZBFQ1AQbzlB0+lR9fOIl3zvTj7dMD2HdmAEc7g8gohRHDYTagbU4FrppbhavmVaJ1dgXs5pIP6iUqS7prGW1tbQWBvq2tDTfffDNeeOEF3HPPPePeT19fGKX7emJ8BAGornbq4lipEGunX6ydfrF2+sb6TTGhDvDUAZ7r8stUFUK8D1LgJKSBEzAMnIQ0cBJS4ATE0DkIyRDQ+Y72M4QqiBAq5yHlugKZivla73u2F161VLGrr4xdrnYnALiq1oGrah340v+ajURaxpHuMA50BnGoU+ttjyQz+FO7H39q9wMAJAFornEM6W13wePglz3jxfdM/Rms2XiUNKRXVlZCkiT09fUVLO/r64PH4xnXPoxGI5YsWYKzZ89O6G+rKnTzgtbTsVIh1k6/WDv9Yu30jfUrJQGq1QPF6kG67trCh+QkpMBpSIFseM8GeWngJMR0BOj/AKb+D2DC7oLNFHOFds770PBeMR+yaw4gGafwudFoLne7MxskXDm7AlfOrgCgTSV30h/Fwa5Q7tz2nnAS752P4L3zEfz83U4AQIPbgtYGF1oatDnb51XZIPJLnlHxPXN6KmlIN5lMWLZsGfbu3YuNGzcCABRFwd69e3HHHXeMax+yLOP48eNYv379ZB4qERER0cwlmSFXN0OubkZq6HJVhRjvRbXShcjpwxAHTsIQ0MK7FO6AmAxA7Hkbxp63C3anigbI7nlaYK+cj0xF/vx31VIxlc+MpoAkClhU48CiGgc2t2pTGvSEEtoV5Lu0i9Gd8EXRGUygM5jAK+/1AgBcFgNa6rVz2lfWu7Ck1gmzgVO/0fRX8uHud911Fx544AEsX74cLS0t2LFjB+LxOD75yU8CAO6//37MmjUL9913HwDgySefRGtrK+bOnYtQKITt27ejq6sLmzdvLuXTICIiIpp5BAGqfRbgWYCEs62wRy8dhxQ8BcPAiYKed0PgJIRMHIaBEzAMnABOFe5SsXryPe/uuVCsXqjWaig2rZdfsVbxCvTTQK3LglqXBTcuqQEARJIZHO4O4UBnCIc6gzjcHUYokcGfP+jHnz/oBwAYJQFLZjnR4LagymZCtd2IKpsJVdnbapsRFTYTDLxAHelcyUP6zTffjP7+fjzxxBPw+XxYsmQJnn766dxw9+7ubohi/huzUCiEhx56CD6fD263G8uWLcMLL7yABQsWlOopEBEREdGFjFbInqWQPUsLl6sKxEgPpMBgaM/2vAdOQop0Q4z7YYr7ge7/GXHXitFxQXCvhmL1FF9mqQREaZKfLF0qh9mA1fOqsHpeFQAgIys45oviYGcQB7JztvfH0jjUFcKhrtCI+xGgTSNXZTOiyq4F9yqbacj9fKivshlhlNgzT+WnpFd3LyW/v/wvsiAIgMfj1MWxUiHWTr9YO/1i7fSN9dOvy1k7IRXRpokb7HkPd0CM90GI90GM+yHG+iAoqbF3NIQKAaq1qiC4K9ZqqLah9/PLVKNjxlzsTk/tTlVVdAQSONITgi+cQl8shf5YGv3R7G0shUA8DWWCz8NlMWgBfjDIF4T4Ib31NiMsxvL5skdPtSPNYM3Go+Q96UREREREAKCaHMjUtCBT0zLCCiqEVBhi3F8Q3MW4v+gyITEAAWp2eV/xfV74JyRzPrzbPNmL6Q3eH+yxH1xWDUimy/gvQCMRBAGzK62YXTnyqQ6yoiIQ1wJ7fzSNvlgKA9kA33dBoO+PpSErKkKJDEKJDE73x8c8BrtJGhLkteB+Yc98tV0L9zZT+QR60h+GdCIiIiLSB0GAanZBNruAiivGXl/JQIj3Z0N8X/425odQbFkmBkFOQop0QYp0jeuQFLNb64XPBnfZORtyxTztwnjueVAc9YDI/3JPBUkUUG03odpuAryjr6uoWkAfDPSFQV4L8X1DQn1aVhFNyYimZJwLJMY8FotBzA239zjMaHBb0FhhQYPbgga3FbUuM4fa04j4jkFERERE05NogGqvgWyvgTye9dOx8YX57H1BlSEmgxCTQSDwQdFdqqIRsms2ZNdcLbRnw7tc0QTZ2cie+BIRBQEVViMqrEZcUT36uqqqIpKUs0Ps86E+1yt/QchPZBQkMgq6ggl0BRMAwkX+PlDrNKO+wqoFeLcFDdnfG9wWuK2conAmY0gnIiIiIgIAow2K0QbFNXvsdVUFQjKYC/BCzA8x5oMUOgspeBpS8Ayk0BkIchKGwAcwFAnxqiBCcTbmet0Hg7z2M4dXsS8TgiDAaTHAaTFgXpVtzPVjKVkL7dme+PPhJLqCCXQE4rlp5pIZBV2hJLpCSbxdZB9Os0EL7IO970MCfK3LAqM0M66bMFMxpBMRERERTZQgQrVUQrZUQq4cYZahwSvZB09lg/vQnzMQMjEt1IfOAuf+OGxz2VE3JLQPhvgmKO65UE2OSX6CdLFsJgk2kxWNFcW/ZFFVFX3RVC6wdwYS6AjG0RnQ7vujKYSTGfylN4K/9EaGbS8J2hR2TV4HvDYDGt3WXJhvrLDCYWbE0ztWkIiIiIhoMggiFGc9FGc90o0fKnxMVSHEfEXCu/YjpkKQIt2QIt1A595hu1as3oJz34f2xKuWiql5fnRRBEGAx2GGx2HGygb3sMcTaTkf4IMJdA72wAcS6AzGkZLV3GPFuC0G1GfPfc+dB1+h3Z/lNEPiPPJljyGdiIiIiGiqCQJUew0y9hpk6q8pfExVISQGRg7wiX6IcR/EuA/G7n3Ddq2YKwrDe8U8yO6mbICvmjFTzOmVxShhvseO+R77sMcUVYU/kkJXKIGgDBzrGMC5QD7A98fSCCYyCCYieP98kV54UUC9y4yGIb3vQ4fSsxe+PLAKRERERETlRNDmds9Yq5CpXTX84WRQO+d9MLQP+V2KnYeYDEDsPQBj74Fh2ypGR/7K8xXzgNommFMGKAY7VKMDqtEG1WiHahr83QFIvIhZuRAFATVOM2a5zNo86XPdBfOkx9NyLrBfOJS+K5RAWlZxLpDQrlB/Zvj+K6xG1LstqLYZ4c5eWM9tMWi3g/etBrgt2nIDr1A/KRjSiYiIiIh0RDW7R55PPhWFFDpT9Bx4MdIFMR2B6D8Co/9IbhPnWH9PNGmB3eTQAnw2vBcL9LnHh607ZLnBBoicR3wyWI0SFnjtWOAt3gvfG06OOJR+IJ5GIPszXg6zlA3yhQF+8Pdij5kMDPZjYUgnIiIiIpouTHbInqWQPUuHP5ZJQAqdGxLcT8Ga6UcqGoKQikBIRyGkYxDSEe1WTgIABCUFIZkCkoHLdpiqwZoN7tkfU2GgV4x2IPuYYrIXrmvzQLF5oVg9nIN+AkRBQK1Luzr8lUUmMIimMlqPe1AL7MF4GoF4BsGEFtyD2d+D8TRCiQxUAJGkjEhSRgfGnjt+kM0oFQT4wt+NqLAatNshj1mMM+tLHb6qiYiIiIhmAoMFctVCyFULAWinpls9ToT84YIh0zlyekhwj+bD+7BAHx1lebTwcVWbsV7IxCFk4kDcf9FPR4UA1VoNxVYDxe6FYpulhXdbTXZZDRSbF7JtFmAa3rNMhewmAxbVOLCoZuyZA2RFRTiRQSAxJMzH08MC/eDvgXgaoUQasgrE0jJiaRndoeS4j81sEOG2GIYMwc+HebfViGW1TrTUuy7l6ZcVhnQiIiIiIhpOMkKVKi7f1eJVFZCThSE+Fb0gzEdHXp6KQkyFIcT7IMZ9EFQFQtwPMe4H+sb40wYbZHsNVFsNZJsW3hX7kFCf/V21VHEo/jhIooAKmxEVtvFfr0BRVUSSmVxo13rl878PDfTafS34ZxQVyYyC3kgKvZFU0X0LAF7729VwW6fH9RMY0omIiIiIaPIJAmCwQDVYoFqrLm1figwh0Q8x5oMYPa/dxnq1n2hv9v55SNFeCJkYhEwMhuBpIHgao8U4VZCgWD25XvgLe+VzvfX2GsBQfB50Kk4UBLgsRrgsRsyuHN+/naqqiKbkIoE+k+3B15Y3VFjgskyfaDt9ngkREREREc0MogTV5oVs8xY//36oVFS76n3Mlw3wgz9akBejWsAX4n0QVBlS7Dyk2PkxD0ExObMh/oJe+QtCvWqpAAReLO1iCIIAh9kAh9mAIlPKT1sM6URERERENH2Z7JBNV0CuuGL09ZQMxLi/SJgf2jvfCzF6HoKchJgKQ0yFgcDJUXerQshf7d7kzN+a8veVC5cbHcPWVYxOwGjjPPczAEM6ERERERGRaIBir4VirwW8o6ynqhBS4XxP/IWhfujviQEI0NZHKgxEey7pEIcGfljdcEtWqMaxAr9T28bkyIZ/BxSjg4G/jDGkExERERERjZcgQDW7IJtdkCvnj76unIKQCEBMR7JXv8/eFvldHLYsCiEVzt+qyrDAfymXSVMFccg89xeEeEsFVEslFHOldmutgmLJ/m6phGqu4AX2JhFDOhERERER0WSQTFDtNZBRc2n7UVUgk9B68NNamK+0Kgj5e4HkOAL/0PvpiBb4VSUf+Cd6ONC+qMgH96p8gM/ezwV9SyXUbMiHZL60f4cZgiGdiIiIiIionAkCYLRCNVoho0Ybpe5xIuUcYY770agqkIlDSEWK9/CnwhCTAQiJAW24frwf4uDvyQDEZFDr0U8GISaDQPD0+P+0wQYl2zOfD/UV2VA/pKd+yH3VaJ9xw/IZ0omIiIiIiGYKQQCMNqhG28X18CsZbQh/YgBioj8f5gvuB7LL+rO3AQiqDCETgxSJQYp0jvvPqaJpSJjP9sqb84FesVYh422BXN088edSphjSiYiIiIiIaHxEA1SbB7LNA3m822SH1hf0yl9wOzzwD0CQkxCUlDYl3ijT4qmCiL7/c0ib7m4aYEgnIiIiIiKiySOIUM1uqGY3FDSNb5vssPx8qO8vDPCDgT85ANk1F6rZNbnPYQoxpBMREREREVF5yQ7LV4w2KM6GUh/NlBJLfQBEREREREREpGFIJyIiIiIiIioTDOlEREREREREZYIhnYiIiIiIiKhMMKQTERERERERlQmGdCIiIiIiIqIywZBOREREREREVCYY0omIiIiIiIjKBEM6ERERERERUZlgSCciIiIiIiIqEwzpRERERERERGWCIZ2IiIiIiIioTDCkExEREREREZUJhnQiIiIiIiKiMsGQTkRERERERFQmGNKJiIiIiIiIygRDOhEREREREVGZYEgnIiIiIiIiKhOGUh9AqQhCqY9gbIPHqIdjpUKsnX6xdvrF2ukb66dfrJ1+sXb6xdrpz0RqJaiqqk7eoRARERERERHReHG4OxEREREREVGZYEgnIiIiIiIiKhMM6URERERERERlgiGdiIiIiIiIqEwwpBMRERERERGVCYZ0IiIiIiIiojLBkE5ERERERERUJhjSiYiIiIiIiMoEQzoRERERERFRmWBIJyIiIiIiIioTDOkl9rOf/Qwf+chHsGLFCmzevBmHDh0adf3f/e53uOmmm7BixQps2rQJb7zxxhQdKQ368Y9/jNtuuw1tbW1YvXo1/vZv/xYffPDBqNvs3LkTzc3NBT8rVqyYoiOmQT/4wQ+G1eGmm24adRu2ufLxkY98ZFj9mpubsXXr1qLrs92Vzr59+/ClL30Ja9euRXNzM3bv3l3wuKqqePzxx7F27Vq0tLTgc5/7HE6fPj3mfif6mUkTN1rt0uk0vvvd72LTpk1obW3F2rVrcf/99+P8+fOj7vNi3ntp4sZqdw8++OCwOmzZsmXM/bLdTY2x6lfs86+5uRlPP/30iPtk29MvQ6kPYCZ79dVXsW3bNmzduhUrV67Ejh07sGXLFuzatQvV1dXD1n/33Xdx33334d5778WGDRvw8ssv48tf/jJ27tyJRYsWleAZzExvvfUWPv3pT2PFihWQZRmPPfYYtmzZgldeeQU2m23E7RwOB3bt2pW7LwjCVBwuXWDhwoV49tlnc/clSRpxXba58vLiiy9CluXc/fb2dtx1112j/oeD7a40YrEYmpubcdttt+ErX/nKsMf/7d/+DT/96U/xyCOPoLGxEY8//ji2bNmCV199FWazueg+J/qZSRdntNolEgm89957uPvuu7F48WKEQiF861vfwt13342dO3eOut+JvPfSxRmr3QHAunXrsG3bttx9k8k06j7Z7qbOWPX785//XHD/j3/8I/7xH/8RN95446j7ZdvTJ4b0Enr22Wdx++2347bbbgMAbN26Fa+//jpeeuklfPGLXxy2/nPPPYd169bh85//PADgnnvuwZ49e/Dv//7vePjhh6f02Gey7du3F9x/5JFHsHr1ahw9ehRXX331iNsJggCv1zvZh0djkCRp3HVgmysvVVVVBff/9V//FXPmzME111wz4jZsd6Wxfv16rF+/vuhjqqriueeew913342NGzcCAB599FGsWbMGu3fvxi233FJ0u4l+ZtLFGa12Tqez4D/7APDQQw9h8+bN6OrqQn19/Yj7nch7L12c0Wo3yGQyTagObHdTZ6z6XVi33//+97j22msxe/bsUffLtqdPHO5eIqlUCkePHsWaNWtyy0RRxJo1a7B///6i2xw4cACrV68uWLZ27VocOHBgMg+VxhAOhwEAbrd71PVisRg2bNiA9evX4+6770Z7e/tUHB5d4MyZM1i7di2uv/563Hfffejq6hpxXba58pVKpfCb3/wGt91226i942x35aejowM+n6/g88/pdGLlypUjfv5dzGcmTY1IJAJBEOByuUZdbyLvvTR53nrrLaxevRo33ngj/umf/gkDAwMjrst2V778fj/eeOMNfOpTnxpzXbY9fWJPeokMDAxAluVhQ4Wqq6tHPL/Z7/fD4/EMW9/v90/acdLoFEXBt7/9baxatWrU4c9NTU349re/jebmZoTDYTzzzDP467/+a7zyyiuora2dwiOe2VpaWrBt2zY0NTXB5/Phqaeewqc//Wm8/PLLcDgcw9Znmytfu3fvRjgcxq233jriOmx35cnn8wFA0c+/kdrWxXxm0uRLJpP43ve+h1tuuaXoe+igib730uRYt24dPvrRj6KxsRHnzp3DY489hi984Qv4j//4j6JDoNnuytcvf/lL2O123HDDDaOux7anXwzpRJdg69ataG9vx/PPPz/qem1tbWhrayu4f/PNN+OFF17APffcM8lHSYOGDiNbvHgxVq5ciQ0bNuB3v/sdNm/eXMIjo4l66aWXcN1112HWrFkjrsN2RzR50uk0vva1r0FV1REv3jiI773lYeipJIMXEdu4cWOud53046WXXsKmTZtGvIbHILY9/eJw9xKprKyEJEno6+srWN7X1zes526Qx+MZ1ssw2vo0uR5++GG8/vrr2LFjx4R75YxGI5YsWYKzZ89O0tHReLhcLsybN2/EOrDNlafOzk7s2bNnXMP8hmK7Kw+D50ZO5PPvYj4zafKk02ncc8896OrqwjPPPDPhHrmx3ntpasyePRuVlZU4c+ZM0cfZ7srT22+/jVOnTl1UyGbb0w+G9BIxmUxYtmwZ9u7dm1umKAr27t1b0PMzVGtrK958882CZXv27EFra+tkHipdQFVVPPzww3jttdewY8eOMS/YUYwsyzh+/Dgv5FFi0WgU586dG7EObHPlaefOnaiursaHP/zhCW3HdlceGhsb4fV6Cz7/IpEIDh48OOLn38V8ZtLkGAzoZ86cwU9+8hNUVlZOeB9jvffS1Ojp6UEgEBixDmx35enFF1/EsmXLsHjx4glvy7anHxzuXkJ33XUXHnjgASxfvhwtLS3YsWMH4vE4PvnJTwIA7r//fsyaNQv33XcfAODOO+/EZz7zGTzzzDNYv349Xn31VRw5coRXmZ5iW7duxW9/+1v88Ic/hN1uz51f6XQ6YbFYAAyv3ZNPPonW1lbMnTsXoVAI27dvR1dXF4caTbHvfOc72LBhA+rr69Hb24sf/OAHEEURH//4xwGwzemBoijYuXMn/uqv/goGQ+FHGNtd+YhGowU9NR0dHXj//ffhdrtRX1+PO++8Ez/60Y8wd+7c3BRsNTU1uau9A8BnP/tZfPSjH8Udd9wBYOzPTLo8Rqud1+vF3/3d3+G9997Dj3/8Y8iynPsMdLvduem8LqzdWO+9dHmMVju3240nn3wSN954IzweD86dO4fvfve7mDt3LtatW5fbhu2udMZ63wS0LzR37dqFBx54oOg+2PamD4b0Err55pvR39+PJ554Aj6fD0uWLMHTTz+dG0LU3d0NUcwPdli1ahW+973v4fvf/z4ee+wxzJs3D0899RTna55iP//5zwEAn/nMZwqWb9u2LfehdWHtQqEQHnroIfh8PrjdbixbtgwvvPACFixYMHUHTujp6cG9996LQCCAqqoqXHnllfjP//zP3NRebHPlb8+ePejq6spNBzQU2135OHLkCO68887c/cF5mW+99VY88sgj+MIXvoB4PI6vf/3rCIVCuPLKK/H0008XnF957ty5gitPj/WZSZfHaLX7yle+gj/84Q8AgE984hMF2z333HO49tprAQyv3VjvvXR5jFa7b3zjGzh+/Dh+9atfIRwOo6amBh/60Ifwta99rWCudLa70hnrfRMAXnnlFaiqOmLIZtubPgRVVdVSHwQRERERERER8Zx0IiIiIiIiorLBkE5ERERERERUJhjSiYiIiIiIiMoEQzoRERERERFRmWBIJyIiIiIiIioTDOlEREREREREZYIhnYiIiIiIiKhMMKQTERERERERlQmGdCIiIpp0zc3N2L17d6kPg4iIqOwZSn0ARERENLkefPBB/PKXvxy2fO3atdi+fXsJjoiIiIhGwpBOREQ0A6xbtw7btm0rWGYymUp0NERERDQSDncnIiKaAUwmE7xeb8GP2+0GoA1Ff/755/H5z38eLS0tuP7667Fr166C7Y8dO4Y777wTLS0tuPbaa/HQQw8hGo0WrPPiiy/illtuwfLly7F27Vo8/PDDBY8PDAzgy1/+MlauXIkbbrgBv//97yf3SRMREekQQzoRERHh8ccfx4033ohf//rX2LRpE+69916cPHkSABCLxbBlyxa43W68+OKL+P73v489e/bgm9/8Zm77559/Hg8//DBuv/12vPzyy/jhD3+IOXPmFPyNJ598Eh/72Mfwm9/8Btdddx3+/u//HoFAYCqfJhERUdljSCciIpoBXn/9dbS1tRX8/Mu//Evu8ZtuugmbN29GU1MT7rnnHixfvhw//elPAQC//e1vkUql8J3vfAeLFi3C6tWr8fWvfx2//vWv4ff7AQA/+tGPcNddd+Gzn/0smpqa0NLSgs997nMFx3Drrbfi4x//OObOnYt7770XsVgMhw4dmrJ/AyIiIj3gOelEREQzwLXXXotvfOMbBcsGh7sDQFtbW8Fjra2teP/99wEAJ0+eRHNzM2w2W+7xVatWQVEUnDp1CoIgoLe3F6tXrx71GJqbm3O/22w2OBwO9Pf3X+xTIiIimpYY0omIiGYAq9WKuXPnTsq+zWbzuNYzGo0F9wVBgKIok3FIREREusXh7kRERIQDBw4U3D948CDmz58PAJg/fz6OHTuGWCyWe/zdd9+FKIpoamqCw+FAQ0MD9u7dO5WHTERENC0xpBMREc0AqVQKPp+v4GfoUPNdu3bhxRdfxKlTp/DEE0/g0KFDuOOOOwAAmzZtgslkwoMPPojjx4/jzTffxDe/+U184hOfgMfjAQB89atfxbPPPovnnnsOp0+fxtGjR3PntBMREdH4cbg7ERHRDPCnP/0Ja9euLVjW1NSUm2rtq1/9Kl599VVs3boVXq8X//zP/4wFCxYA0IbKb9++Hd/61rfwqU99ClarFTfccAMefPDB3L5uvfVWJJNJ/OQnP8Gjjz6KiooK3HTTTVP3BImIiKYJQVVVtdQHQURERKXT3NyMp556Chs3biz1oRAREc14HO5OREREREREVCYY0omIiIiIiIjKBIe7ExEREREREZUJ9qQTERERERERlQmGdCIiIiIiIqIywZBOREREREREVCYY0omIiIiIiIjKBEM6ERERERERUZlgSCciIiIiIiIqEwzpRERERERERGWCIZ2IiIiIiIioTPx/8HmYD1axhe8AAAAASUVORK5CYII="
},
"metadata": {},
"output_type": "display_data"
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"Test loss: 0.45732781291007996\n",
"Test accuracy: 0.8416666388511658\n",
"Classification Report: \n",
" precision recall f1-score support\n",
"\n",
" 0 0.80 0.91 0.85 4192\n",
" 1 0.90 0.77 0.83 4208\n",
"\n",
" accuracy 0.84 8400\n",
" macro avg 0.85 0.84 0.84 8400\n",
"weighted avg 0.85 0.84 0.84 8400\n"
]
}
],
"source": [
"# Import necessary libraries\n",
"from tensorflow.keras.models import Sequential\n",
"from tensorflow.keras.layers import Dense, Dropout\n",
"from tensorflow.keras.callbacks import EarlyStopping\n",
"from sklearn.model_selection import train_test_split\n",
"from sklearn.preprocessing import StandardScaler\n",
"from tensorflow.keras.layers import BatchNormalization\n",
"from tensorflow.keras import regularizers\n",
"from tensorflow.keras.optimizers import Adam\n",
"from sklearn.metrics import confusion_matrix, roc_curve, auc\n",
"import seaborn as sns\n",
"\n",
"# 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)\n",
"\n",
"# 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), 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",
"# 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",
"# Print the classification report\n",
"print('Classification Report: \\n', report)"
],
"metadata": {
"collapsed": false,
"ExecuteTime": {
"end_time": "2024-03-18T15:19:07.242487Z",
"start_time": "2024-03-18T15:18:11.365602Z"
}
},
"id": "c8745832a585d5ec",
"execution_count": 89
},
{
"cell_type": "markdown",
"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_8, dense_9, dense_10, and dense_11) 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_8 and dense_10 introduce a slight positive bias to the activations in subsequent layers, potentially affecting the model's predictions. The biases in dense_9 and dense_11 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.\n",
"\n",
"## 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.\n",
"\n",
"## 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 curves 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."
],
"metadata": {
"collapsed": false
},
"id": "4114f5c851874555"
},
{
"cell_type": "code",
"outputs": [
{
"data": {
"text/plain": "<Figure size 1000x500 with 2 Axes>",
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"
},
"metadata": {},
"output_type": "display_data"
},
{
"data": {
"text/plain": "<Figure size 1000x500 with 2 Axes>",
"image/png": 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"
},
"metadata": {},
"output_type": "display_data"
},
{
"data": {
"text/plain": "<Figure size 1000x500 with 2 Axes>",
"image/png": 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"
},
"metadata": {},
"output_type": "display_data"
},
{
"data": {
"text/plain": "<Figure size 1000x500 with 2 Axes>",
"image/png": 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"
},
"metadata": {},
"output_type": "display_data"
},
{
"data": {
"text/plain": "<Figure size 500x500 with 2 Axes>",
"image/png": 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"
},
"metadata": {},
"output_type": "display_data"
},
{
"data": {
"text/plain": "<Figure size 640x480 with 1 Axes>",
"image/png": 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"
},
"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()\n",
"\n",
"# 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",
"# 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()"
],
"metadata": {
"collapsed": false,
"ExecuteTime": {
"end_time": "2024-03-18T15:19:08.865615Z",
"start_time": "2024-03-18T15:19:07.243909Z"
}
},
"id": "41091791008ff727",
"execution_count": 90
}
],
"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
}