cognitiveclass.ai logo Hierarchical Clustering.ipynb

{
    "cells": [
        {
            "metadata": {
                "collapsed": true
            },
            "cell_type": "markdown",
            "source": "<h1>Table of contents</h1>\n\n<div class=\"alert alert-block alert-info\" style=\"margin-top: 20px\">\n    <ol>\n        <li><a href=\"#hierarchical_agglomerative\">Hierarchical Clustering - Agglomerative</a></li>\n            <ol>\n                <li><a href=\"#generating_data\">Generating Random Data</a></li>\n                <li><a href=\"#agglomerative_clustering\">Agglomerative Clustering</a></li>\n                <li><a href=\"#dendrogram\">Dendrogram Associated for the Agglomerative Hierarchical Clustering</a></li>\n            </ol>            \n        <li><a href=\"#clustering_vehicle_dataset\">Clustering on the Vehicle Dataset</a></li>\n            <ol>\n                <li><a href=\"#data_cleaning\">Data Cleaning</a></li>\n                <li><a href=\"#clustering_using_scipy\">Clustering Using Scipy</a></li>\n                <li><a href=\"#clustering_using_skl\">Clustering using scikit-learn</a></li>\n            </ol>\n    </ol>\n</div>\n<br>\n<hr>\n"
        },
        {
            "metadata": {},
            "cell_type": "markdown",
            "source": "<h1 id=\"hierarchical_agglomerative\">Hierarchical Clustering - Agglomerative</h1>\n\nUse a clustering technique, which is <b>Agglomerative Hierarchical Clustering</b>. Agglomerative is the bottom up approach. <br> <br>\n\n"
        },
        {
            "metadata": {},
            "cell_type": "code",
            "source": "# Import libraries\nimport numpy as np \nimport pandas as pd\nfrom scipy import ndimage \nfrom scipy.cluster import hierarchy \nfrom scipy.spatial import distance_matrix \nfrom matplotlib import pyplot as plt \nfrom sklearn import manifold, datasets \nfrom sklearn.cluster import AgglomerativeClustering \nfrom sklearn.datasets.samples_generator import make_blobs \n%matplotlib inline\nprint(\"imported\")",
            "execution_count": 2,
            "outputs": [
                {
                    "output_type": "stream",
                    "text": "imported\n",
                    "name": "stdout"
                }
            ]
        },
        {
            "metadata": {},
            "cell_type": "markdown",
            "source": "<hr>\n<h3 id=\"generating_data\">Generating Random Data</h3>\nI will be generating a set of data using the <b>make_blobs</b> class. <br> <br>\nInput these parameters into make_blobs:\n<ul>\n    <li> <b>n_samples</b>: The total number of points equally divided among clusters. </li>\n    <ul> <li> Choose a number from 10-1500 </li> </ul>\n    <li> <b>centers</b>: The number of centers to generate, or the fixed center locations. </li>\n    <ul> <li> Choose arrays of x,y coordinates for generating the centers. Have 1-10 centers (ex. centers=[[1,1], [2,5]]) </li> </ul>\n    <li> <b>cluster_std</b>: The standard deviation of the clusters. The larger the number, the further apart the clusters</li>\n    <ul> <li> Choose a number between 0.5-1.5 </li> </ul>\n</ul> <br>\nSave the result to <b>X1</b> and <b>y1</b>."
        },
        {
            "metadata": {},
            "cell_type": "code",
            "source": "X1, y1 = make_blobs(n_samples=50, centers=[[4,4], [-2, -1], [1, 1], [10,4]], cluster_std=0.9)\n\n# Plot the randomly generated data\nplt.scatter(X1[:, 0], X1[:, 1], marker='o') ",
            "execution_count": 3,
            "outputs": [
                {
                    "output_type": "execute_result",
                    "execution_count": 3,
                    "data": {
                        "text/plain": "<matplotlib.collections.PathCollection at 0x7feb0a4fb0f0>"
                    },
                    "metadata": {}
                },
                {
                    "output_type": "display_data",
                    "data": {
                        "text/plain": "<Figure size 432x288 with 1 Axes>",
                        "image/png": 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\n"
                    },
                    "metadata": {
                        "needs_background": "light"
                    }
                }
            ]
        },
        {
            "metadata": {},
            "cell_type": "markdown",
            "source": "<hr>\n<h3 id=\"agglomerative_clustering\">Agglomerative Clustering</h3>\nI will start by clustering the random data points just created.\n\nThe <b> Agglomerative Clustering </b> class will require two inputs:\n\n<ul>\n    <li> <b>n_clusters</b>: The number of clusters to form as well as the number of centroids to generate. </li>\n    <ul> <li> Value will be: 4 </li> </ul>\n    <li> <b>linkage</b>: Which linkage criterion to use. The linkage criterion determines which distance to use between sets of observation. The algorithm will merge the pairs of cluster that minimize this criterion. </li>\n    <ul> \n        <li> Value will be: 'complete' </li> \n        <li> <b>Note</b>: It is recommended you try everything with 'average' as well </li>\n    </ul>\n</ul> <br>\nSave the result to a variable called <b> agglom </b>\n"
        },
        {
            "metadata": {},
            "cell_type": "code",
            "source": "agglom = AgglomerativeClustering(n_clusters = 4, linkage = 'average')\n\n# Fit the model with X1,and y1 \nagglom.fit(X1,y1)",
            "execution_count": 4,
            "outputs": [
                {
                    "output_type": "execute_result",
                    "execution_count": 4,
                    "data": {
                        "text/plain": "AgglomerativeClustering(affinity='euclidean', compute_full_tree='auto',\n            connectivity=None, linkage='average', memory=None,\n            n_clusters=4, pooling_func='deprecated')"
                    },
                    "metadata": {}
                }
            ]
        },
        {
            "metadata": {},
            "cell_type": "code",
            "source": "# show the clustering\n\n# Create a figure of size 10 inches by 8 inches.\nfig = plt.figure(figsize=(10,8))\nfig.suptitle('Clustering',fontsize=14, fontweight='bold')\n\n# These two lines of code are used to scale the data points down,\n# Or else the data points will be scattered very far apart.\n\n# Create a minimum and maximum range of X1.\nx_min, x_max = np.min(X1, axis=0), np.max(X1, axis=0)\n\n# Get the average distance for X1.\nX1 = (X1 - x_min) / (x_max - x_min)\n\n# This loop displays all of the datapoints.\nfor i in range(X1.shape[0]):\n    # Replace the data points with their respective cluster value \n    # (ex. 0) and is color coded with a colormap (plt.cm.spectral)\n    plt.text(X1[i, 0], X1[i, 1], str(y1[i]),\n             color=plt.cm.nipy_spectral(agglom.labels_[i] / 10.),\n             fontdict={'weight': 'bold', 'size': 9})\n    \n# Remove the x ticks, y ticks, x and y axis\nplt.xticks([])\nplt.yticks([])\n#plt.axis('off')\n\n\n\n# Display the plot of the original data before clustering\nplt.scatter(X1[:, 0], X1[:, 1], marker='.')\n# Display the plot\nplt.show()",
            "execution_count": 5,
            "outputs": [
                {
                    "output_type": "display_data",
                    "data": {
                        "text/plain": "<Figure size 720x576 with 1 Axes>",
                        "image/png": 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\n"
                    },
                    "metadata": {}
                }
            ]
        },
        {
            "metadata": {},
            "cell_type": "markdown",
            "source": "<h3 id=\"dendrogram\">Dendrogram Associated for the Agglomerative Hierarchical Clustering</h3>\n\nA <b>distance matrix</b> contains the <b> distance from each point to every other point of a dataset </b>. <br>\nI used the function <b> distance_matrix, </b> which requires <b>two inputs</b>. Used the Feature Matrix, <b> X2 </b> as both inputs and save the distance matrix to a variable called <b> dist_matrix </b> <br> <br>\nThe distance values are symmetric, with a diagonal of 0's. This is one way of making sure your matrix is correct. <br> "
        },
        {
            "metadata": {},
            "cell_type": "code",
            "source": "# print the dist_matrix to check\ndist_matrix = distance_matrix(X1,X1) \nprint(dist_matrix)",
            "execution_count": 6,
            "outputs": [
                {
                    "output_type": "stream",
                    "text": "[[0.         0.47212137 0.86638797 ... 0.77395311 0.39395557 0.84817253]\n [0.47212137 0.         0.39431367 ... 0.32670194 0.11053448 0.39006221]\n [0.86638797 0.39431367 0.         ... 0.19979401 0.48296792 0.14959965]\n ...\n [0.77395311 0.32670194 0.19979401 ... 0.         0.43575336 0.08209054]\n [0.39395557 0.11053448 0.48296792 ... 0.43575336 0.         0.49575781]\n [0.84817253 0.39006221 0.14959965 ... 0.08209054 0.49575781 0.        ]]\n",
                    "name": "stdout"
                }
            ]
        },
        {
            "metadata": {},
            "cell_type": "code",
            "source": "# Calculate the distance between each sample and SAVE the result to variable Z\nZ = hierarchy.linkage(dist_matrix,'complete')",
            "execution_count": 7,
            "outputs": [
                {
                    "output_type": "stream",
                    "text": "/opt/conda/envs/Python36/lib/python3.6/site-packages/ipykernel/__main__.py:2: ClusterWarning: scipy.cluster: The symmetric non-negative hollow observation matrix looks suspiciously like an uncondensed distance matrix\n  from ipykernel import kernelapp as app\n",
                    "name": "stderr"
                }
            ]
        },
        {
            "metadata": {},
            "cell_type": "code",
            "source": "# create a dendogram, and pass in the parameter Z\ndendro = hierarchy.dendrogram(Z, show_leaf_counts=False)",
            "execution_count": 8,
            "outputs": [
                {
                    "output_type": "display_data",
                    "data": {
                        "text/plain": "<Figure size 432x288 with 1 Axes>",
                        "image/png": "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\n"
                    },
                    "metadata": {
                        "needs_background": "light"
                    }
                }
            ]
        },
        {
            "metadata": {},
            "cell_type": "markdown",
            "source": "<hr>\n<h1 id=\"clustering_vehicle_dataset\">Clustering on Vehicle dataset</h1>\n\nIn this practice an automobile manufacturer has developed prototypes for a new vehicle. Before introducing the new model into its range, the manufacturer wants to determine which existing vehicles on the market are most like the prototypes--that is, how vehicles can be grouped, which group is the most similar with the model, and therefore which models they will be competing against.\n\nOur objective here, is to use clustering methods, to find the most distinctive clusters of vehicles. It will summarize the existing vehicles and help manufacturers to make decision about the supply of new models."
        },
        {
            "metadata": {},
            "cell_type": "code",
            "source": "# Download data\n!wget -O cars_clus.csv https://s3-api.us-geo.objectstorage.softlayer.net/cf-courses-data/CognitiveClass/ML0101ENv3/labs/cars_clus.csv",
            "execution_count": 9,
            "outputs": [
                {
                    "output_type": "stream",
                    "text": "--2020-10-13 18:49:34--  https://s3-api.us-geo.objectstorage.softlayer.net/cf-courses-data/CognitiveClass/ML0101ENv3/labs/cars_clus.csv\nResolving s3-api.us-geo.objectstorage.softlayer.net (s3-api.us-geo.objectstorage.softlayer.net)... 67.228.254.196\nConnecting to s3-api.us-geo.objectstorage.softlayer.net (s3-api.us-geo.objectstorage.softlayer.net)|67.228.254.196|:443... connected.\nHTTP request sent, awaiting response... 200 OK\nLength: 17774 (17K) [text/csv]\nSaving to: \u2018cars_clus.csv\u2019\n\n100%[======================================>] 17,774      --.-K/s   in 0.001s  \n\n2020-10-13 18:49:34 (13.3 MB/s) - \u2018cars_clus.csv\u2019 saved [17774/17774]\n\n",
                    "name": "stdout"
                }
            ]
        },
        {
            "metadata": {},
            "cell_type": "code",
            "source": "# Read data from .csv file\nfilename = 'cars_clus.csv'\n\n#Read csv\npdf = pd.read_csv(filename)\nprint (\"Shape of dataset: \", pdf.shape)\n\npdf.head(5)",
            "execution_count": 10,
            "outputs": [
                {
                    "output_type": "stream",
                    "text": "Shape of dataset:  (159, 16)\n",
                    "name": "stdout"
                },
                {
                    "output_type": "execute_result",
                    "execution_count": 10,
                    "data": {
                        "text/plain": "  manufact    model   sales  resale   type   price engine_s horsepow wheelbas  \\\n0    Acura  Integra  16.919  16.360  0.000  21.500    1.800  140.000  101.200   \n1    Acura       TL  39.384  19.875  0.000  28.400    3.200  225.000  108.100   \n2    Acura       CL  14.114  18.225  0.000  $null$    3.200  225.000  106.900   \n3    Acura       RL   8.588  29.725  0.000  42.000    3.500  210.000  114.600   \n4     Audi       A4  20.397  22.255  0.000  23.990    1.800  150.000  102.600   \n\n    width   length curb_wgt fuel_cap     mpg lnsales  partition  \n0  67.300  172.400    2.639   13.200  28.000   2.828        0.0  \n1  70.300  192.900    3.517   17.200  25.000   3.673        0.0  \n2  70.600  192.000    3.470   17.200  26.000   2.647        0.0  \n3  71.400  196.600    3.850   18.000  22.000   2.150        0.0  \n4  68.200  178.000    2.998   16.400  27.000   3.015        0.0  ",
                        "text/html": "<div>\n<style scoped>\n    .dataframe tbody tr th:only-of-type {\n        vertical-align: middle;\n    }\n\n    .dataframe tbody tr th {\n        vertical-align: top;\n    }\n\n    .dataframe thead th {\n        text-align: right;\n    }\n</style>\n<table border=\"1\" class=\"dataframe\">\n  <thead>\n    <tr style=\"text-align: right;\">\n      <th></th>\n      <th>manufact</th>\n      <th>model</th>\n      <th>sales</th>\n      <th>resale</th>\n      <th>type</th>\n      <th>price</th>\n      <th>engine_s</th>\n      <th>horsepow</th>\n      <th>wheelbas</th>\n      <th>width</th>\n      <th>length</th>\n      <th>curb_wgt</th>\n      <th>fuel_cap</th>\n      <th>mpg</th>\n      <th>lnsales</th>\n      <th>partition</th>\n    </tr>\n  </thead>\n  <tbody>\n    <tr>\n      <th>0</th>\n      <td>Acura</td>\n      <td>Integra</td>\n      <td>16.919</td>\n      <td>16.360</td>\n      <td>0.000</td>\n      <td>21.500</td>\n      <td>1.800</td>\n      <td>140.000</td>\n      <td>101.200</td>\n      <td>67.300</td>\n      <td>172.400</td>\n      <td>2.639</td>\n      <td>13.200</td>\n      <td>28.000</td>\n      <td>2.828</td>\n      <td>0.0</td>\n    </tr>\n    <tr>\n      <th>1</th>\n      <td>Acura</td>\n      <td>TL</td>\n      <td>39.384</td>\n      <td>19.875</td>\n      <td>0.000</td>\n      <td>28.400</td>\n      <td>3.200</td>\n      <td>225.000</td>\n      <td>108.100</td>\n      <td>70.300</td>\n      <td>192.900</td>\n      <td>3.517</td>\n      <td>17.200</td>\n      <td>25.000</td>\n      <td>3.673</td>\n      <td>0.0</td>\n    </tr>\n    <tr>\n      <th>2</th>\n      <td>Acura</td>\n      <td>CL</td>\n      <td>14.114</td>\n      <td>18.225</td>\n      <td>0.000</td>\n      <td>$null$</td>\n      <td>3.200</td>\n      <td>225.000</td>\n      <td>106.900</td>\n      <td>70.600</td>\n      <td>192.000</td>\n      <td>3.470</td>\n      <td>17.200</td>\n      <td>26.000</td>\n      <td>2.647</td>\n      <td>0.0</td>\n    </tr>\n    <tr>\n      <th>3</th>\n      <td>Acura</td>\n      <td>RL</td>\n      <td>8.588</td>\n      <td>29.725</td>\n      <td>0.000</td>\n      <td>42.000</td>\n      <td>3.500</td>\n      <td>210.000</td>\n      <td>114.600</td>\n      <td>71.400</td>\n      <td>196.600</td>\n      <td>3.850</td>\n      <td>18.000</td>\n      <td>22.000</td>\n      <td>2.150</td>\n      <td>0.0</td>\n    </tr>\n    <tr>\n      <th>4</th>\n      <td>Audi</td>\n      <td>A4</td>\n      <td>20.397</td>\n      <td>22.255</td>\n      <td>0.000</td>\n      <td>23.990</td>\n      <td>1.800</td>\n      <td>150.000</td>\n      <td>102.600</td>\n      <td>68.200</td>\n      <td>178.000</td>\n      <td>2.998</td>\n      <td>16.400</td>\n      <td>27.000</td>\n      <td>3.015</td>\n      <td>0.0</td>\n    </tr>\n  </tbody>\n</table>\n</div>"
                    },
                    "metadata": {}
                }
            ]
        },
        {
            "metadata": {},
            "cell_type": "markdown",
            "source": "<h2 id=\"data_cleaning\">Data Cleaning</h2>\nDrop the rows that have null value:"
        },
        {
            "metadata": {},
            "cell_type": "code",
            "source": "# shape of dataframe \nprint (\"Shape of dataset before cleaning: \", pdf.size)\n\npdf[['sales', \n     'resale',\n     'type',\n     'price',\n     'engine_s',\n     'horsepow',\n     'wheelbas',\n     'width',\n     'length',\n     'curb_wgt',\n     'fuel_cap',\n     'mpg', 'lnsales']] = pdf[['sales', 'resale', 'type', 'price', 'engine_s',\n                               'horsepow', 'wheelbas', 'width', 'length', 'curb_wgt', 'fuel_cap', 'mpg', 'lnsales'\n                              ]].apply(pd.to_numeric, errors='coerce')\n\npdf = pdf.dropna()\npdf = pdf.reset_index(drop=True)\n\nprint (\"Shape of dataset after cleaning: \", pdf.size)\npdf.head(5)",
            "execution_count": 11,
            "outputs": [
                {
                    "output_type": "stream",
                    "text": "Shape of dataset before cleaning:  2544\nShape of dataset after cleaning:  1872\n",
                    "name": "stdout"
                },
                {
                    "output_type": "execute_result",
                    "execution_count": 11,
                    "data": {
                        "text/plain": "  manufact    model   sales  resale  type  price  engine_s  horsepow  \\\n0    Acura  Integra  16.919  16.360   0.0  21.50       1.8     140.0   \n1    Acura       TL  39.384  19.875   0.0  28.40       3.2     225.0   \n2    Acura       RL   8.588  29.725   0.0  42.00       3.5     210.0   \n3     Audi       A4  20.397  22.255   0.0  23.99       1.8     150.0   \n4     Audi       A6  18.780  23.555   0.0  33.95       2.8     200.0   \n\n   wheelbas  width  length  curb_wgt  fuel_cap   mpg  lnsales  partition  \n0     101.2   67.3   172.4     2.639      13.2  28.0    2.828        0.0  \n1     108.1   70.3   192.9     3.517      17.2  25.0    3.673        0.0  \n2     114.6   71.4   196.6     3.850      18.0  22.0    2.150        0.0  \n3     102.6   68.2   178.0     2.998      16.4  27.0    3.015        0.0  \n4     108.7   76.1   192.0     3.561      18.5  22.0    2.933        0.0  ",
                        "text/html": "<div>\n<style scoped>\n    .dataframe tbody tr th:only-of-type {\n        vertical-align: middle;\n    }\n\n    .dataframe tbody tr th {\n        vertical-align: top;\n    }\n\n    .dataframe thead th {\n        text-align: right;\n    }\n</style>\n<table border=\"1\" class=\"dataframe\">\n  <thead>\n    <tr style=\"text-align: right;\">\n      <th></th>\n      <th>manufact</th>\n      <th>model</th>\n      <th>sales</th>\n      <th>resale</th>\n      <th>type</th>\n      <th>price</th>\n      <th>engine_s</th>\n      <th>horsepow</th>\n      <th>wheelbas</th>\n      <th>width</th>\n      <th>length</th>\n      <th>curb_wgt</th>\n      <th>fuel_cap</th>\n      <th>mpg</th>\n      <th>lnsales</th>\n      <th>partition</th>\n    </tr>\n  </thead>\n  <tbody>\n    <tr>\n      <th>0</th>\n      <td>Acura</td>\n      <td>Integra</td>\n      <td>16.919</td>\n      <td>16.360</td>\n      <td>0.0</td>\n      <td>21.50</td>\n      <td>1.8</td>\n      <td>140.0</td>\n      <td>101.2</td>\n      <td>67.3</td>\n      <td>172.4</td>\n      <td>2.639</td>\n      <td>13.2</td>\n      <td>28.0</td>\n      <td>2.828</td>\n      <td>0.0</td>\n    </tr>\n    <tr>\n      <th>1</th>\n      <td>Acura</td>\n      <td>TL</td>\n      <td>39.384</td>\n      <td>19.875</td>\n      <td>0.0</td>\n      <td>28.40</td>\n      <td>3.2</td>\n      <td>225.0</td>\n      <td>108.1</td>\n      <td>70.3</td>\n      <td>192.9</td>\n      <td>3.517</td>\n      <td>17.2</td>\n      <td>25.0</td>\n      <td>3.673</td>\n      <td>0.0</td>\n    </tr>\n    <tr>\n      <th>2</th>\n      <td>Acura</td>\n      <td>RL</td>\n      <td>8.588</td>\n      <td>29.725</td>\n      <td>0.0</td>\n      <td>42.00</td>\n      <td>3.5</td>\n      <td>210.0</td>\n      <td>114.6</td>\n      <td>71.4</td>\n      <td>196.6</td>\n      <td>3.850</td>\n      <td>18.0</td>\n      <td>22.0</td>\n      <td>2.150</td>\n      <td>0.0</td>\n    </tr>\n    <tr>\n      <th>3</th>\n      <td>Audi</td>\n      <td>A4</td>\n      <td>20.397</td>\n      <td>22.255</td>\n      <td>0.0</td>\n      <td>23.99</td>\n      <td>1.8</td>\n      <td>150.0</td>\n      <td>102.6</td>\n      <td>68.2</td>\n      <td>178.0</td>\n      <td>2.998</td>\n      <td>16.4</td>\n      <td>27.0</td>\n      <td>3.015</td>\n      <td>0.0</td>\n    </tr>\n    <tr>\n      <th>4</th>\n      <td>Audi</td>\n      <td>A6</td>\n      <td>18.780</td>\n      <td>23.555</td>\n      <td>0.0</td>\n      <td>33.95</td>\n      <td>2.8</td>\n      <td>200.0</td>\n      <td>108.7</td>\n      <td>76.1</td>\n      <td>192.0</td>\n      <td>3.561</td>\n      <td>18.5</td>\n      <td>22.0</td>\n      <td>2.933</td>\n      <td>0.0</td>\n    </tr>\n  </tbody>\n</table>\n</div>"
                    },
                    "metadata": {}
                }
            ]
        },
        {
            "metadata": {},
            "cell_type": "markdown",
            "source": "### Feature selection\n\nSelect feature set:"
        },
        {
            "metadata": {},
            "cell_type": "code",
            "source": "featureset = pdf[['engine_s',  'horsepow', 'wheelbas', 'width', 'length', 'curb_wgt', 'fuel_cap', 'mpg']]",
            "execution_count": 12,
            "outputs": []
        },
        {
            "metadata": {},
            "cell_type": "markdown",
            "source": "### Normalization\n\nNormalize the feature set. **MinMaxScaler** transforms features by scaling each feature to a given range. It is by default (0, 1).This estimator scales and translates each feature individually such that it is between zero and one."
        },
        {
            "metadata": {},
            "cell_type": "code",
            "source": "from sklearn.preprocessing import MinMaxScaler\n\nx = featureset.values #returns a numpy array\n\nmin_max_scaler = MinMaxScaler()\nfeature_mtx = min_max_scaler.fit_transform(x)\nfeature_mtx [0:5]",
            "execution_count": 13,
            "outputs": [
                {
                    "output_type": "execute_result",
                    "execution_count": 13,
                    "data": {
                        "text/plain": "array([[0.11428571, 0.21518987, 0.18655098, 0.28143713, 0.30625832,\n        0.2310559 , 0.13364055, 0.43333333],\n       [0.31428571, 0.43037975, 0.3362256 , 0.46107784, 0.5792277 ,\n        0.50372671, 0.31797235, 0.33333333],\n       [0.35714286, 0.39240506, 0.47722343, 0.52694611, 0.62849534,\n        0.60714286, 0.35483871, 0.23333333],\n       [0.11428571, 0.24050633, 0.21691974, 0.33532934, 0.38082557,\n        0.34254658, 0.28110599, 0.4       ],\n       [0.25714286, 0.36708861, 0.34924078, 0.80838323, 0.56724368,\n        0.5173913 , 0.37788018, 0.23333333]])"
                    },
                    "metadata": {}
                }
            ]
        },
        {
            "metadata": {},
            "cell_type": "markdown",
            "source": "<h2 id=\"clustering_using_scipy\">Clustering using Scipy</h2>\nUse Scipy package to cluster the dataset:  \n"
        },
        {
            "metadata": {},
            "cell_type": "code",
            "source": "import scipy\n\n# calculate the distance matrix.\nleng = feature_mtx.shape[0]\nD = scipy.zeros([leng,leng])\n\nfor i in range(leng):\n    for j in range(leng):\n        D[i,j] = scipy.spatial.distance.euclidean(feature_mtx[i], feature_mtx[j])",
            "execution_count": 14,
            "outputs": []
        },
        {
            "metadata": {},
            "cell_type": "code",
            "source": "import pylab\nimport scipy.cluster.hierarchy\nZ = hierarchy.linkage(D, 'complete')",
            "execution_count": 15,
            "outputs": [
                {
                    "output_type": "stream",
                    "text": "/opt/conda/envs/Python36/lib/python3.6/site-packages/ipykernel/__main__.py:3: ClusterWarning: scipy.cluster: The symmetric non-negative hollow observation matrix looks suspiciously like an uncondensed distance matrix\n  app.launch_new_instance()\n",
                    "name": "stderr"
                }
            ]
        },
        {
            "metadata": {},
            "cell_type": "markdown",
            "source": "following methods are supported in Scipy for calculating the distance between the newly formed cluster and each:\n\n```\n- single\n- complete\n- average\n- weighted\n- centroid\n```\n\nI used **complete** for now.\n"
        },
        {
            "metadata": {},
            "cell_type": "code",
            "source": "# plot the dendrogram\nfig = pylab.figure(figsize=(18,50))\ndef llf(id):\n    return '[%s %s %s]' % (pdf['manufact'][id], pdf['model'][id], int(float(pdf['type'][id])) )\n    \ndendro = hierarchy.dendrogram(Z,  leaf_label_func=llf, leaf_rotation=0, leaf_font_size =12, orientation = 'right')",
            "execution_count": 16,
            "outputs": [
                {
                    "output_type": "display_data",
                    "data": {
                        "text/plain": "<Figure size 1296x3600 with 1 Axes>",
                        "image/png": 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\n"
                    },
                    "metadata": {
                        "needs_background": "light"
                    }
                }
            ]
        },
        {
            "metadata": {},
            "cell_type": "markdown",
            "source": "<h2 id=\"clustering_using_skl\">Clustering using scikit-learn</h2>"
        },
        {
            "metadata": {},
            "cell_type": "code",
            "source": "dist_matrix = distance_matrix(feature_mtx,feature_mtx) \nprint(dist_matrix)",
            "execution_count": 17,
            "outputs": [
                {
                    "output_type": "stream",
                    "text": "[[0.         0.57777143 0.75455727 ... 0.28530295 0.24917241 0.18879995]\n [0.57777143 0.         0.22798938 ... 0.36087756 0.66346677 0.62201282]\n [0.75455727 0.22798938 0.         ... 0.51727787 0.81786095 0.77930119]\n ...\n [0.28530295 0.36087756 0.51727787 ... 0.         0.41797928 0.35720492]\n [0.24917241 0.66346677 0.81786095 ... 0.41797928 0.         0.15212198]\n [0.18879995 0.62201282 0.77930119 ... 0.35720492 0.15212198 0.        ]]\n",
                    "name": "stdout"
                }
            ]
        },
        {
            "metadata": {},
            "cell_type": "markdown",
            "source": "I use 'AgglomerativeClustering' function from scikit-learn library to cluster the dataset. \nThe AgglomerativeClustering performs a hierarchical clustering using a bottom up approach.\nThe linkage criteria determines the metric used for the merge strategy:\n\n-   Ward minimizes the sum of squared differences within all clusters. It is a variance-minimizing approach and in this sense is similar to the k-means objective function but tackled with an agglomerative hierarchical approach.\n-   Maximum or complete linkage minimizes the maximum distance between observations of pairs of clusters.\n-   Average linkage minimizes the average of the distances between all observations of pairs of clusters."
        },
        {
            "metadata": {},
            "cell_type": "code",
            "source": "agglom = AgglomerativeClustering(n_clusters = 6, linkage = 'complete')\nagglom.fit(feature_mtx)\nagglom.labels_",
            "execution_count": 19,
            "outputs": [
                {
                    "output_type": "execute_result",
                    "execution_count": 19,
                    "data": {
                        "text/plain": "array([1, 2, 2, 1, 2, 3, 1, 2, 2, 2, 2, 2, 3, 3, 2, 1, 1, 2, 2, 2, 5, 1,\n       4, 1, 1, 2, 1, 2, 1, 1, 1, 5, 0, 0, 0, 3, 2, 1, 2, 1, 2, 3, 2, 3,\n       0, 3, 0, 1, 1, 1, 2, 3, 1, 1, 1, 2, 1, 1, 2, 2, 2, 3, 3, 3, 1, 1,\n       1, 2, 1, 2, 2, 1, 1, 2, 3, 2, 3, 1, 2, 3, 5, 1, 1, 2, 3, 2, 1, 3,\n       2, 3, 1, 1, 2, 1, 1, 2, 2, 2, 1, 1, 1, 1, 1, 1, 1, 1, 2, 1, 1, 1,\n       2, 0, 1, 1, 1, 1, 1])"
                    },
                    "metadata": {}
                }
            ]
        },
        {
            "metadata": {},
            "cell_type": "markdown",
            "source": "Again, I used **complete** for now, but following methods are supported too.\n\n```\n- single\n- complete\n- average\n- weighted\n- centroid\n```\n\n"
        },
        {
            "metadata": {},
            "cell_type": "code",
            "source": "# ADD new field cluster_ to show the cluster of each row\npdf['cluster_'] = agglom.labels_\npdf.head()",
            "execution_count": 20,
            "outputs": [
                {
                    "output_type": "execute_result",
                    "execution_count": 20,
                    "data": {
                        "text/plain": "  manufact    model   sales  resale  type  price  engine_s  horsepow  \\\n0    Acura  Integra  16.919  16.360   0.0  21.50       1.8     140.0   \n1    Acura       TL  39.384  19.875   0.0  28.40       3.2     225.0   \n2    Acura       RL   8.588  29.725   0.0  42.00       3.5     210.0   \n3     Audi       A4  20.397  22.255   0.0  23.99       1.8     150.0   \n4     Audi       A6  18.780  23.555   0.0  33.95       2.8     200.0   \n\n   wheelbas  width  length  curb_wgt  fuel_cap   mpg  lnsales  partition  \\\n0     101.2   67.3   172.4     2.639      13.2  28.0    2.828        0.0   \n1     108.1   70.3   192.9     3.517      17.2  25.0    3.673        0.0   \n2     114.6   71.4   196.6     3.850      18.0  22.0    2.150        0.0   \n3     102.6   68.2   178.0     2.998      16.4  27.0    3.015        0.0   \n4     108.7   76.1   192.0     3.561      18.5  22.0    2.933        0.0   \n\n   cluster_  \n0         1  \n1         2  \n2         2  \n3         1  \n4         2  ",
                        "text/html": "<div>\n<style scoped>\n    .dataframe tbody tr th:only-of-type {\n        vertical-align: middle;\n    }\n\n    .dataframe tbody tr th {\n        vertical-align: top;\n    }\n\n    .dataframe thead th {\n        text-align: right;\n    }\n</style>\n<table border=\"1\" class=\"dataframe\">\n  <thead>\n    <tr style=\"text-align: right;\">\n      <th></th>\n      <th>manufact</th>\n      <th>model</th>\n      <th>sales</th>\n      <th>resale</th>\n      <th>type</th>\n      <th>price</th>\n      <th>engine_s</th>\n      <th>horsepow</th>\n      <th>wheelbas</th>\n      <th>width</th>\n      <th>length</th>\n      <th>curb_wgt</th>\n      <th>fuel_cap</th>\n      <th>mpg</th>\n      <th>lnsales</th>\n      <th>partition</th>\n      <th>cluster_</th>\n    </tr>\n  </thead>\n  <tbody>\n    <tr>\n      <th>0</th>\n      <td>Acura</td>\n      <td>Integra</td>\n      <td>16.919</td>\n      <td>16.360</td>\n      <td>0.0</td>\n      <td>21.50</td>\n      <td>1.8</td>\n      <td>140.0</td>\n      <td>101.2</td>\n      <td>67.3</td>\n      <td>172.4</td>\n      <td>2.639</td>\n      <td>13.2</td>\n      <td>28.0</td>\n      <td>2.828</td>\n      <td>0.0</td>\n      <td>1</td>\n    </tr>\n    <tr>\n      <th>1</th>\n      <td>Acura</td>\n      <td>TL</td>\n      <td>39.384</td>\n      <td>19.875</td>\n      <td>0.0</td>\n      <td>28.40</td>\n      <td>3.2</td>\n      <td>225.0</td>\n      <td>108.1</td>\n      <td>70.3</td>\n      <td>192.9</td>\n      <td>3.517</td>\n      <td>17.2</td>\n      <td>25.0</td>\n      <td>3.673</td>\n      <td>0.0</td>\n      <td>2</td>\n    </tr>\n    <tr>\n      <th>2</th>\n      <td>Acura</td>\n      <td>RL</td>\n      <td>8.588</td>\n      <td>29.725</td>\n      <td>0.0</td>\n      <td>42.00</td>\n      <td>3.5</td>\n      <td>210.0</td>\n      <td>114.6</td>\n      <td>71.4</td>\n      <td>196.6</td>\n      <td>3.850</td>\n      <td>18.0</td>\n      <td>22.0</td>\n      <td>2.150</td>\n      <td>0.0</td>\n      <td>2</td>\n    </tr>\n    <tr>\n      <th>3</th>\n      <td>Audi</td>\n      <td>A4</td>\n      <td>20.397</td>\n      <td>22.255</td>\n      <td>0.0</td>\n      <td>23.99</td>\n      <td>1.8</td>\n      <td>150.0</td>\n      <td>102.6</td>\n      <td>68.2</td>\n      <td>178.0</td>\n      <td>2.998</td>\n      <td>16.4</td>\n      <td>27.0</td>\n      <td>3.015</td>\n      <td>0.0</td>\n      <td>1</td>\n    </tr>\n    <tr>\n      <th>4</th>\n      <td>Audi</td>\n      <td>A6</td>\n      <td>18.780</td>\n      <td>23.555</td>\n      <td>0.0</td>\n      <td>33.95</td>\n      <td>2.8</td>\n      <td>200.0</td>\n      <td>108.7</td>\n      <td>76.1</td>\n      <td>192.0</td>\n      <td>3.561</td>\n      <td>18.5</td>\n      <td>22.0</td>\n      <td>2.933</td>\n      <td>0.0</td>\n      <td>2</td>\n    </tr>\n  </tbody>\n</table>\n</div>"
                    },
                    "metadata": {}
                }
            ]
        },
        {
            "metadata": {},
            "cell_type": "code",
            "source": "import matplotlib.cm as cm\n\nn_clusters = max(agglom.labels_)+1\n\ncolors = cm.rainbow(np.linspace(0, 1, n_clusters))\ncluster_labels = list(range(0, n_clusters))\n\n# Create a figure of size 16 inches by 14 inches.\nplt.figure(figsize=(18,16))\n\nfor color, label in zip(colors, cluster_labels):\n    subset = pdf[pdf.cluster_ == label]\n    \n    for i in subset.index:\n            plt.text(subset.horsepow[i], subset.mpg[i],str(subset['model'][i]), rotation=25) \n    plt.scatter(subset.horsepow, subset.mpg, s= subset.price*10, c=color, label='cluster'+str(label),alpha=0.5)\n    \n#    plt.scatter(subset.horsepow, subset.mpg)\nplt.legend()\nplt.title('The distribution of each cluster using the scatter plot')\nplt.xlabel('horsepow')\nplt.ylabel('mpg')",
            "execution_count": 25,
            "outputs": [
                {
                    "output_type": "stream",
                    "text": "'c' argument looks like a single numeric RGB or RGBA sequence, which should be avoided as value-mapping will have precedence in case its length matches with 'x' & 'y'.  Please use a 2-D array with a single row if you really want to specify the same RGB or RGBA value for all points.\n'c' argument looks like a single numeric RGB or RGBA sequence, which should be avoided as value-mapping will have precedence in case its length matches with 'x' & 'y'.  Please use a 2-D array with a single row if you really want to specify the same RGB or RGBA value for all points.\n'c' argument looks like a single numeric RGB or RGBA sequence, which should be avoided as value-mapping will have precedence in case its length matches with 'x' & 'y'.  Please use a 2-D array with a single row if you really want to specify the same RGB or RGBA value for all points.\n'c' argument looks like a single numeric RGB or RGBA sequence, which should be avoided as value-mapping will have precedence in case its length matches with 'x' & 'y'.  Please use a 2-D array with a single row if you really want to specify the same RGB or RGBA value for all points.\n'c' argument looks like a single numeric RGB or RGBA sequence, which should be avoided as value-mapping will have precedence in case its length matches with 'x' & 'y'.  Please use a 2-D array with a single row if you really want to specify the same RGB or RGBA value for all points.\n'c' argument looks like a single numeric RGB or RGBA sequence, which should be avoided as value-mapping will have precedence in case its length matches with 'x' & 'y'.  Please use a 2-D array with a single row if you really want to specify the same RGB or RGBA value for all points.\n",
                    "name": "stderr"
                },
                {
                    "output_type": "execute_result",
                    "execution_count": 25,
                    "data": {
                        "text/plain": "Text(0, 0.5, 'mpg')"
                    },
                    "metadata": {}
                },
                {
                    "output_type": "display_data",
                    "data": {
                        "text/plain": "<Figure size 1296x1152 with 1 Axes>",
                        "image/png": 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qmDdvHgCLFi1iwoQJlJeXc9dddwGwZcsWRo4cyU033cS4cePYunUrb775JpMnTyaEwPXXX88Pf/jD47sAXXANCEmSJEmSgMZX4fUtcPqw46tTcAa8/kJSr/jsrttt2LCBhQsXsnr1akpKSqivr+f+++8/av0HH3yQm2++meuuu47m5mba2tq45557WL9+PTU1NQBUVVVRW1vLmjVriDFSWVnJqlWrGDZsGJs2beLhhx/mgQceYO3atZSWlh6oXVpayrZt247vAnTBAEKSJEmSJGDfGxByDn/aRU+FACGT1DtSALFy5UpmzpxJSUkJAAMGDOhW/cmTJ7Nw4ULq6uq4+uqrOf/88w9rU1VVRVVVFWPHjgWgsbGR2tpahg0bxvDhw5k0aRJAp+s99MaCk51xCoYkSZIkSUDrvl4s1n70hShjjEe82c/NzaW9vR3goEdgzpo1ixUrVlBYWMj06dNZuXJlp7Xnz59PTU0NNTU1PPfcc9x4440A9OvX70C70tJS6urqDnxfV1fHOeec061T7CkDCEmSJEmSgNw+vVgsBzL5R24ybdo0li1bxq5duwCor68/aH9ZWRnV1dUALF++/MD2559/nhEjRjBnzhwqKytZt24dxcXF7N69+0Cb6dOn89BDD9HY2AjAtm3b2L59+2F9OPvssykuLuZXv/oVMUYWL17MVVdddUynfDROwZAkSZIkiWTxydieLB55PLMQYoTYdvTFLEeNGsXtt9/OlClTyGQyjB079sBCkwBz587l2muv5dFHH+WKK644sH3p0qUsWbKEvLw8Bg8ezJ133smAAQO47LLLGD16NDNmzGDRokVs3LiRyZMnA1BUVMSSJUvIZDKH9ePb3/42n/zkJ9m7dy8zZsxgxowZx37yRxDSer5nbxo/fnzcv/KnJEmSJEm9YePGjYwcOfLA9zHCqr+BPfVQ2P/Y6+59HfqWwO/fcfzrSbydHHq9AEII1THG8d053ikYkiRJkiSRhAXnfThZPLIzzUR25LTzaqadHTntNNP5L/T3vQnnzXh3hQ+9wSkYkiRJkiRlDR4Def2guRHyi6ApRDbntvHb/DYaMpGQnZ4RI8QAZ7QFLm7OcG5rhoIYaG6EvL4wuPxkn8nbjwGEJEmSJElZmXy45M/gF1+NvNa3jV+c3koL0C/CwDYI/G5YQyTSFCI/K2jlV7Ry6Ru5nLUjw6W3hqMuQHkqcgqGJEmSJEkdDBwV2XZNKz/JbSV/H5S0BwpjOCh8gCSMKIyBkvZA/j74SW4r265pZeCot/9aiyeDAYQkSZIkSVkxRpZtaqW2XxtjxkJuS6DpDWht6rx9axM0NSTtxoyF2n5tLNvUyjvhgQ8nmlMwJEmSJEnKqn6tjV+93MbQ0yDntEDxdGh8Feqfg70N2YUlI5BdB6LwDDirHIrOgpAJFMXIr15u48IBgfGDveXuyBEQkiRJkiQBb7VElm9qZVA/yMk+wiJkoHgIDP99GHEFDL0USiclf464ItlefE7SDpLjBvWD5Ztaeaul56MgFixYwL333tvj4xoaGnjggQd6fBzA7bffztChQykqKjqm47vLAEKSJEmSJKDmtTb2tUFhbifPzwyQXwx9S6DfWcmf+cXJ9kMV5gaa2pJ6J8qxBBAxRtrb2/nIRz7CmjVrUurZ7xhASJIkSZIEPFXXxul9eqfWGX1gVd3RA4jFixdTXl7OmDFjmD179kH7pk6dytq1awHYuXMnZWVlAGzYsIGJEydSUVFBeXk5tbW13HbbbWzevJmKigrmzZsHwKJFi5gwYQLl5eXcddddAGzZsoWRI0dy0003MW7cOLZu3cqkSZM4++yze+fEj8AJKZIkSZKkU96elsj2PZEhvTQLoV8evNwY2dsaOx9RQRIkLFy4kNWrV1NSUkJ9fT3333//UWs/+OCD3HzzzVx33XU0NzfT1tbGPffcw/r166mpqQGgqqqK2tpa1qxZQ4yRyspKVq1axbBhw9i0aRMPP/zwMU/ZOFYGEJIkSZKkU159UyQnQAidhwU9FUIghMiuvZHS4s5rrly5kpkzZ1JSUgLAgAEDulV78uTJLFy4kLq6Oq6++mrOP//8w9pUVVVRVVXF2LFjAWhsbKS2tpZhw4YxfPhwJk2adIxnduycgiFJkiRJOuW1tJ/4ujHGIwYeubm5tLcnBZqafvcc0FmzZrFixQoKCwuZPn06K1eu7LT2/Pnzqampoaamhueee44bb7wRgH79+h3j2RwfAwhJkiRJ0ikvL6W74yPVnTZtGsuWLWPXrl0A1NfXH7S/rKyM6upqAJYvX35g+/PPP8+IESOYM2cOlZWVrFu3juLiYnbv3n2gzfTp03nooYdobGwEYNu2bWzfvr23TuuYGEBIkiRJkk55AwoC7TEZOdAbYozECAMLux7hMGrUKG6//XamTJnCmDFjuOWWWw7aP3fuXL797W9z6aWXsnPnzgPbly5dyujRo6moqODZZ5/l+uuvZ+DAgVx22WWMHj2aefPm8cEPfpBZs2YxefJkLr74YmbOnHlQQNHR5z//eUpLS9mzZw+lpaUsWLCgV67BoUJvXdw0jR8/Pu5f+VOSJEmSpN6wceNGRo4ceeD7u3+1j+a2SFH+8a8D0dgc6ZMJzJ/US4/VeBs49HoBhBCqY4zju3O8IyAkSZIkSQKmlGZ4Y1/v1GrYB79fmumdYu8SBhCSJEmSJAEVZ2Xok4G9rZ3PFGgn0pLTxr7cFlpy2min83Z7WyIFmaSefsfHcEqSJEmSBPTLC8y8MJd/Wt/K0NMiOSEQiezLbeWNvm/xRt89xBAhBgiREAOn7+nL6Xv60ac1l0CgPUa274E/GZ1Lv7zeeaTnu4UBxDtcW1sbmYypmiRJkiT1hkvOyrCpPrLmlTbOPKOF7f0b2JPfTE4M5LZmyOF3oUI7kTf67uH1fm/Rd18+gxrOYHtDLpPOyXCJox8OYwCRlvY2eH0rvPIMNDVCQRGc/V7oPxRyeu+DuD98qK2tpaysjLy8vKM+S1aSJEmS1LkQAtdemMtbmWaezOygMAMFLcnohkPlEMhvzSUSeSu3hWdO38HUokFce14f78k6YQCRhn2NsO4x2L0dcvMgkw97dsFrtXDaWVB+JfQpOqbS7e3t5OT8bumOlStX8ld/9Vfk5uZSXFzM17/+dc4777zeOhNJkiRJOuU0hlbahtczck+GF3YGdkcoyEB+J79Lbm6DprZAbshlZEmkrW89jSGf/uSd+I6/zaW+CGUIIRNCeDqE8Fj2+0dCCC+EEGqyXxVp9+GEam9LwofGnVB8JhSeAfl9kz9PG5RsX/dY0q4H9j8udX/4sHz5ctra2li6dCk33HADTz31FOeddx5/+7d/S0NDQ6+fliRJkiSdCmKM/EfLLiKRc/vlMWVohlEDc8jNgd3Nh3/l5sCogTlMGZrh3H55RCI/bdl14B6upxYsWMC9997b4+MaGhp44IEHenzcnj17+IM/+AMuuugiRo0axW233dbjGt11Ip6CcTOw8ZBt82KMFdmvmhPQhxPn9a3w5mtQNLDz/UUDk/2v1x21VH19Pb/+9a+BZBhQS0sLTz75JB/72Md46qmnqK6uprGxkVGjRgHJB3Xz5s28+OKLvXY6kiRJknQq2RlbeLl9H6dnJwzk5QSGFudw+ZBcpg3LMPmcDL93dvLntGEZLh+Sy9DiHPJykikXp5PLtvZ97IwtJ7TfxxJA7A9J5s6dy7PPPsvTTz/N6tWr+bd/+7c0uphuABFCKAX+APhumq/ztvLKM5CXf+Q2efnwyoajlnrttdf48Y9/zOOPP87y5ctZvnw53/zmN2lqauIb3/gGEydOZM+ePTQ1NdHU1MQZZ5xBcXEx//Vf/9VLJyNJkiRJp5YNbY1kAp2u4ZCbEzgtP3BGn+TP3JzD24QQyISkTncsXryY8vJyxowZw+zZsw/aN3XqVNauXQvAzp07KSsrS/q4YQMTJ06koqKC8vJyamtrue2229i8eTMVFRXMmzcPgEWLFjFhwgTKy8u56667ANiyZQsjR47kpptuYty4cezYsYP3v//9AOTn5zNu3Djq6o7+C/NjkfYIiK8DnwfaD9m+MISwLoTwtRBCn84ODCF8JoSwNoSwdseOHSl3sxc1NSZrPhxJJj9pd4j29oMvUwiBRx55hE9/+tP8z//8D1dddRWXXXYZ/fv3Z+vWrQBcccUV/NM//RMrVqzgt7/9LTFGPvShD/Xa6UiSJEnSqaIltrO+bTenH+f6DaeTx/q23bTEQ2+FD7ZhwwYWLlzIypUr+c1vfsPf/d3fdav+gw8+yM0330xNTQ1r166ltLSUe+65h3PPPZeamhoWLVpEVVUVtbW1rFmzhpqaGqqrq1m1ahUAmzZt4vrrr+fpp59m+PDhB+o2NDTw4x//mGnTph37yR9BaotQhhCuBLbHGKtDCFM77JoPvArkA98BvgD8zaHHxxi/k93P+PHjj23yzMlQUJQsOEnfrtu0NSftgNbWVnJzcw9aXPLpp59mwIABXHDBBVx55ZW8+eabfPrTn6Zv375UVFTw0ksvUV1dzdChQ/nUpz7F0KFDWbJkCTt27ODjH/84F1100Qk4UUmSJEl6d2minTYg9zifYJEbAu0xqZd3hN/7r1y5kpkzZ1JSUgLAgAEDulV/8uTJLFy4kLq6Oq6++mrOP//8w9pUVVVRVVXF2LFjAWhsbKS2tpZhw4YxfPhwJk2adFD71tZWPvGJTzBnzhxGjBjR3VPtkTSfgnEZUBlC+DBQAJwWQlgSY/zj7P59IYSHgbkp9uHEO/u9ydMuCrtuEpv38VZxGZ/94z9m0KBB3HfffeTk5LBu3ToWLFjAjh07OP/88xkzZgwLFy7kq1/9Kg8//DBf+MIXuPzyy/nFL37B+vXred/73sfAgQP5wz/8wwN/lyRJkiQdm5YYO3nY5vHVO1LBGOMRH9e5/5fVAE1NTQe2z5o1i9/7vd/j8ccfZ/r06Xz3u989LDSIMTJ//nz+7M/+7KDtW7ZsoV+/foe91mc+8xnOP/98/uIv/qI7p3ZMUpuCEWOcH2MsjTGWAR8HVsYY/ziEcDZASK7yHwLr0+rDSdF/aPKozcZdne9v3EU4fTB9h5zPf/7nf7Jy5UqefvppAH7961/zR3/0R/zsZz+jqKiIb37zm7zxxhtcdNFFbN68mcbGRvLy8hg2bBivvvoqL7zwwoGyhg+SJEmSdHzyQqA3h9/nHWUkxbRp01i2bBm7diX3j/X19QftLysro7q6GkiehLjf888/z4gRI5gzZw6VlZWsW7eO4uJidu/efaDN9OnTeeihh2hsTKb/b9u2je3bt3fajzvuuIM33niDr3/96z0/yR44EU/BONT3Qgi/BX4LlABfPgl9SE9OBsqvhKISeHM77G2A5j2sXP3fzLn722x5M0L5lbz86mt87GMfY+LEiTzyyCMA/PKXv+RHP/oRl1xyCY2NjTz++OMMHTqUCRMm0L9/fz7wgQ9wzTXXMHz4cO644w7Gjx9/cs9VkiRJkt5FCsghA7Qe4yM092uNkZxsvSMZNWoUt99+O1OmTGHMmDHccsstB+2fO3cu3/72t7n00kvZuXPnge1Lly5l9OjRVFRU8Oyzz3L99dczcOBALrvsMkaPHs28efP44Ac/yKxZs5g8eTIXX3wxM2fOPCig2K+uro6FCxfyzDPPMG7cOCoqKvjud9N5jkQ41meTnkjjx4+P+1f+fMdob0setfnKBmhq5N+rNzHjc3fxFzfPYcFf/w2ZTIarrrqKW2+9lX/4h3/gG9/4Bo888gg//elPWb58+YERDU8++SRTp07l9ddf5x//8R/56Ec/yrnnnnuST06SJEmS3vk2btzIyJEjD9r2ZEs9v23bzcBwlIcLHMGu2MzFmWKm5nVvTYd3is6uVwihOsbYrd+On4wREKeGnAwMHA6jPwzjr+WDn7mDIUOG0LSvmW9961s0NDQwefJknnvuOS655BIWL17M9ddfD8A///M/s3btWj71qU8xf/58XnzxRfr378/cuXMNHyRJkiQpRaMyRbTFZA2FTsU2iC3Jn53tjpG2mNTRwQwgTpAQAosWLaKhoYFx48Zxww03cMYZZzBy5Eguv/xyVq9eTVFZOIKuAAAgAElEQVRREV/96ld5+eWX+eIXv8gFF1zAU089ddBjUSRJkiRJ6SkJeQzJ6cMbtCYbYiQnNpLX9iJ92n5LQVsNBdk/+7T9lry2F8mJjZANLN6glSE5fSgJx/coz3ejNJ+CoUPMnDmTP//zP+f73/8+P//5z/nyl7/MkiVLuPzyyxk8eDCLFi3i7rvvpqKi4sAjOSVJkiRJJ04IgQ/kDWRp86vsad/NGbGOnLgHyCGSR6QQQkgCh9hOhnoybTtpD31pCKXkhEI+kDfwiE+3OFUZQJxAubm5zJs3jy996Ut86UtfYvLkyZSVlVFQUMCNN954oJ0fVEmSJEk6efrn5DEtp41ft2yiJeaQF/py2G1aCECGSIYYoaV9L8VhE+PyLqZ/jqMfOuMilCdYU1MT55xzzmGPV5EkSZIknVidLaoIsLN1G1tbN0IsZEtsZndsJQAFZMjpEES0R2iijQgUh1zKQj6EvQzNHUlJ7pATdh4niotQvsMUFBQwe/ZsfvzjH5/srkiSJEmSDrG3vZG61k0UUETfnHzem+nHxZliBuX0YR9t7Im/+9pHO4Ny+nBxppj3ZvrRNyefAoqoa93E3vbGk30qbztOwTgJvva1r7nGgyRJkiS9zcQYeanlGXLIJSdkslsDfUOGslDIsJwCWom0xUgmBHIJ5HDw3IyckCEn5vJSyzNckD+hx1PsFyxYQFFREXPnzu3RcQ0NDXz/+9/npptu6tFxAB/60Id45ZVXaG1t5X3vex/f+ta3yGQyRz+wh7wLPgkMHyRJkiTp7eet+AZ7YyN9QmGn+3MI5JNDYciQT85h4cN+fUIhe2Mjb8U30uzuQRoaGnjggQd6dEyMkfb2dpYtW8ZvfvMb1q9fz44dO/iXf/mXVPronbAkSZIkSUB92yuEXrpNDuRQ3/bKUdstXryY8vJyxowZw+zZsw/aN3XqVPavh7hz507KysoA2LBhAxMnTqSiooLy8nJqa2u57bbb2Lx5MxUVFcybNw+ARYsWMWHCBMrLy7nrrrsA2LJlCyNHjuSmm25i3LhxbN26ldNOOw2A1tZWmpubU3swglMwJEmSJEkCdre9Th59eqVWHn1obH/9iG02bNjAwoULWb16NSUlJdTX13P//fcftfaDDz7IzTffzHXXXUdzczNtbW3cc889rF+/npqaGgCqqqqora1lzZo1xBiprKxk1apVDBs2jE2bNvHwww8fNGJi+vTprFmzhhkzZjBz5szjO/kuOAJCkiRJknTKa4uttNBEDr2z9kEOGZpjE22xtcs2K1euZObMmZSUlAAwYMCAbtWePHkyd999N1/5yld48cUXKSw8fMpIVVUVVVVVjB07lnHjxvHss89SW1sLwPDhw5k0adJB7f/93/+dV155hX379rFy5crunmaPGEBIkiRJkk55kXYCodemH+yvE2nv+jVjPOLr5ebm0t6eHN/U1HRg+6xZs1ixYgWFhYVMnz6908Agxsj8+fOpqamhpqaG5557jhtvvBGAfv36dfp6BQUFVFZW8qMf/ejoJ3gMDCAkSZIkSae8QA6RSIyxV+rtr3OkNSWmTZvGsmXL2LVrFwD19fUH7S8rK6O6uhqA5cuXH9j+/PPPM2LECObMmUNlZSXr1q2juLiY3bt3H2gzffp0HnroIRobk8eBbtu2je3btx/Wh8bGRl55JVmrorW1lSeeeIKLLrroWE75qFwDQpIkSZJ0ysuEXPIooJ02Mr1wq9xOG/mhgEzoutaoUaO4/fbbmTJlCplMhrFjxx5YaBJg7ty5XHvttTz66KNcccUVB7YvXbqUJUuWkJeXx+DBg7nzzjsZMGAAl112GaNHj2bGjBksWrSIjRs3MnnyZACKiopYsmTJYY/XfOutt6isrGTfvn20tbVxxRVX8NnPfva4z78zobfSnTSNHz8+7l/5U5IkSZKk3rBx40ZGjhx54PuXWjbyettrFITOpyj0RFN8i/6ZsxiWN/Lojd8hDr1eACGE6hjj+O4c7xQMSZIkSZKAAZmzj7hmQ09E2hmQObtXar1bGEBIkiRJkgT0C6dTGIrYF/ceV519cS+FoZh+4fRe6tm7gwGEJEmSJEkkT64Ylvde2mmlPbYdU4322EY7rQzLG9lrT9R4tzCAkCRJkiQpqzCniNLcC2miscchRHtso4lGSnMvpDCnKKUevnP5FAxJkiRJkjooyR0CQF3rJnJiLn1C4VGP2Rf30k4rQ3NHHjheBzOAkCRJkiTpECW5Q+iXczovtTzD3ribQA559CGHDCEEYoy000YL+4i0UxiKGJb3Xkc+HIFTMCRJkiRJ6kRhThEX5E/gvPxx9A8l5Ndvp98zqyl++j/p98xq+ry+nf7hTM7LH8cF+RN6JXxYsGAB9957b4+Pa2ho4IEHHjiu166srGT06NHHVeNIDCAkSZIkSepCCIGillyGrVvPec++yJDdfRjcOpAhu/tw7jNbGLbutxS15J70BSePJYCIMdLenjx29Ac/+AFFRemO3jCAkCRJkiSpK+1tsO4xaNwJxWeS07c/OX2KyOnbH04blGxf91jS7hgsXryY8vJyxowZw+zZsw/aN3XqVNauXQvAzp07KSsrA2DDhg1MnDiRiooKysvLqa2t5bbbbmPz5s1UVFQwb948ABYtWsSECRMoLy/nrrvuAmDLli2MHDmSm266iXHjxrF161YaGxu57777uOOOO47xInWPa0BIkiRJktSV17fCm68lYUNnigYm+1+vg4HDe1R6w4YNLFy4kNWrV1NSUkJ9fT3333//UY978MEHufnmm7nuuutobm6mra2Ne+65h/Xr11NTUwNAVVUVtbW1rFmzhhgjlZWVrFq1imHDhrFp0yYefvjhAyMm/vIv/5Jbb72Vvn379qj/PeUICEmSJEmSuvLKM5CXf+Q2efnwyoYel165ciUzZ86kpKQEgAEDBnTruMmTJ3P33Xfzla98hRdffJHCwsOf0lFVVUVVVRVjx45l3LhxPPvss9TW1gIwfPhwJk2aBEBNTQ3PPfccH/3oR3vc/54ygJAkSZIkqStNjZA5SgCRyU/a9VCM8YhrR+Tm5h5Yo6GpqenA9lmzZrFixQoKCwuZPn06K1eu7LT2/PnzqampORAy3HjjjQD069fvQLtf/vKXVFdXU1ZWxuWXX87//M//MHXq1B6fS3cYQEiSJEmS1JWCImhrPnKbtuakXQ9NmzaNZcuWsWvXLgDq6+sP2l9WVkZ1dTUAy5cvP7D9+eefZ8SIEcyZM4fKykrWrVtHcXExu3fvPtBm+vTpPPTQQzQ2JsHItm3b2L59+2F9+NznPsfLL7/Mli1b+PnPf84FF1zAk08+2eNz6Q7XgJAkSZIkqStnvxde2gA79sL2ethRDy2tkJcLZw6AQQOgsA1Gjepx6VGjRnH77bczZcoUMpkMY8eOPbDQJMDcuXO59tprefTRR7niiisObF+6dClLliwhLy+PwYMHc+eddzJgwAAuu+wyRo8ezYwZM1i0aBEbN25k8uTJABQVFbFkyRIymcxxX5JjFWKMJ+3Fu2v8+PFx/8qfkiRJkiT1ho0bNzJy5MiuG9TVwX+thH99BJr3Qk5+EjzkBGiPSRDR3gz5hXDNJ+H9V0Bp6Ynq/gnX2fUKIVTHGMd353hHQEiSJEmS1FFTE6xYAU88Abm5cOElUP8C7GuETAZCBmIbtLVBnzNhwHvgqVXwnyvhwx+GykooKDjZZ/G2YwAhSZIkSdJ+27fDfffBq68moxlys7fN57wX9r4JjTugtRly86HoTCg8DUIOlPaD1tYktPj1r+GWW2BQF4/uPEW5CKUkSZIkSZCED3ffDW++CWVlvwsfIAkZ+p4Bg86Hc0Ylf/Y9I9m+X25uctybbyZ1Oln08VRmACFJkiRJUlNTMvKhufn4Ry4MGpTUue++pK4AAwhJkiRJkpI1H159tfemTQwalNRbsaJ36r0LGEBIkiRJkk5tdXXJ2g29/QSL0tKkbl1d79Z9hzKAkCRJkiSd2p58Mlm/IbeXn9Owv+ZTT3X7kAULFnDvvff2+KUaGhp44IEHenwcwNSpU7nwwgupqKigoqKC7SmtXWEAIUmSJEk6de3dmwQEZ52VTv2zzkrq792bTv2sYwkgYoy0t7cD8L3vfY+amhpqamoYlNLTOwwgJEmSJEmnrro6aG+HvLx06uflJY/n3Lat092LFy+mvLycMWPGMHv27IP2TZ06lbVr1wKwc+dOysrKANiwYQMTJ06koqKC8vJyamtrue2229i8eTMVFRXMmzcPgEWLFjFhwgTKy8u56667ANiyZQsjR47kpptuYty4cWzdujWd8+5EL48vkSRJkiTpHWR/AJGmGJPXOe+8gzZv2LCBhQsXsnr1akpKSqivr+f+++8/arkHH3yQm2++meuuu47m5mba2tq45557WL9+PTU1NQBUVVVRW1vLmjVriDFSWVnJqlWrGDZsGJs2beLhhx8+aMTEDTfcQCaT4ZprruGOO+4ghNC71wADCEmSJEnSqWzbNsjPT/c18vM7XYhy5cqVzJw5k5KSEgAGDBjQrXKTJ09m4cKF1NXVcfXVV3P++ecf1qaqqoqqqirGjh0LQGNjI7W1tQwbNozhw4czadKkA22/973vMWTIEHbv3s0111zDo48+yvXXX38sZ3pETsGQJEmSJJ26mpshk0n3NXJyktc5RIzxiCMNcnNzD6zR0NTUdGD7rFmzWLFiBYWFhUyfPp2VK1d2Wnv+/PkH1nV47rnnuPHGGwHo16/fQW2HDBkCQHFxMbNmzWLNmjU9P8duMICQJEmSJJ268vOhrS3d12hv73SUxbRp01i2bBm7du0CoL6+/qD9ZWVlVFdXA7B8+fID259//nlGjBjBnDlzqKysZN26dRQXF7N79+4DbaZPn85DDz1EY2MjANu2bev06Ratra3s3LkTgJaWFh577DFGjx59nCfcOadgSJIkSZJOXUOGdDo6oVc1N0Np6WGbR40axe23386UKVPIZDKMHTv2wEKTAHPnzuXaa6/l0Ucf5YorrjiwfenSpSxZsoS8vDwGDx7MnXfeyYABA7jssssYPXo0M2bMYNGiRWzcuJHJkycDUFRUxJIlS8gcMtpj3759TJ8+nZaWFtra2vjABz7An/7pn6ZyGUKMMZXCvWn8+PFx/8qfkiRJkiT1ho0bNzIyNxfuuQeGDk3vhV56Cb74xcMWoXyn2bhxIyNHjjxoWwihOsY4vjvHOwVDkiRJknTqKi1N1mhoaUmnfksL5OYmIy1OcQYQkiRJkqRTV2EhTJkCr72WTv3XXkvqFxamU/8dxABCkiRJknRqmzoVWluTr960v+aUKb1b9x3KAEKSJEmSdMqKMSbTMD78Yair693idXVJ3U4WoHyn6Y31Iw0gJEmSJEmnpIKCAnbt2pXcXFdWwuDB0MmjKo/J9u1JvcrK3ql3EsUY2bVrFwUFBcdVx8dwSpIkSZJOSaWlpdTV1bFjxw4AMldeycDvfIfw+uu0DRhwzHUz9fXEvDx2zZpF2wsv9FZ3T6qCggJKj3MkhwGEJEmSJOmUlJeXx3ve856DN15wAdx3H7z6ajJ1IrcHt82trcm0i+HD4ZZbGDhoUO92+B3OAEKSJEmSpP0GDYIFC2DFCnjiiSSAOOssyMvr+piWluRpF62tyZoPlZVwnNMV3o0MICRJkiRJ6qigAK69Fi69FJ56KvlqbYUYIT8fcnKgvR2amyGEJKR4//uTp128CxacTIsBhCRJkiRJnSktheuug6uvhm3bkukVdXVJ8JCfn+wvLYUhQ6Cw8GT39m3PAEKSJEmSpCMpLITzzku+dMx8DKckSZIkSUqdAYQkSZIkSUqdAYQkSZIkSUqdAYQkSZIkSUqdAYQkSZIkSUqdAYQkSZIkSUqdAYQkSZIkSUqdAYQkSZIkSUqdAYQkSZIkSUqdAYQkSZIkSUqdAYQkSZIkSUqdAYQkSZIkSUqdAYQkSZIkSUqdAYQkSZIkSUqdAYQkSZIkSUqdAYQkSZIkSUqdAYQkSZIkSUqdAYQkSZIkSUqdAYQkSZIkSUqdAYQkSZIkSUqdAYQkSZIkSUqdAYQkSZIkSUqdAYQkSZIkSUqdAYQkSZIkSUqdAYQkSZIkSUqdAYQkSZIkSUqdAYQkSZIkSUqdAYQkSZIkSUqdAYQkSZIkSUqdAYQkSZIkSUqdAYQkSZIkSUqdAYQkSZIkSUqdAYQkSZIkSUqdAYQkSZIkSUqdAYQkSZIkSUqdAYQkSZIkSUqdAYQkSZIkSUqdAYQkSZIkSUqdAYQkSZIkSUqdAYQkSZIkSUqdAYQkSZIkSUqdAYQkSZIkSUqdAYQkSZIkSUqdAYQkSZIkSUqdAYQkSZIkSUqdAYQkSZIkSUqdAYQkSZIkSUqdAYQkSZIkSUqdAYQkSZIkSUqdAYQkSZIkSUqdAYQkSZIkSUqdAYQkSZIkSUqdAYQkSZIkSUqdAYQkSZIkSUqdAYQkSZIkSUqdAYQkSZIkSUqdAYQkSZIkSUqdAYQkSZIkSUqdAYQkSZIkSUqdAYQkSZIkSUqdAYQkSZIkSUqdAYQkSZIkSUqdAYQkSZIkSUqdAYQkSZIkSUqdAYQkSZIkSUqdAYQkSZIkSUpd6gFECCETQng6hPBY9vv3hBD+O4RQG0JYGkLIT7sPkiRJkiTp5DoRIyBuBjZ2+P4rwNdijOcDrwM3noA+SJIkSZKkkyjVACKEUAr8AfDd7PcBuAJYnm3yT8AfptkHSZIkSZJ08qU9AuLrwOeB9uz3A4GGGGNr9vs6YEjKfZAkSZIkSSdZagFECOFKYHuMsbrj5k6axi6O/0wIYW0IYe2OHTtS6aMkSZIkSTox0hwBcRlQGULYAvxvkqkXXwfOCCHkZtuUAi93dnCM8TsxxvExxvFnnnlmit2UJEmSJElpSy2AiDHOjzGWxhjLgI8DK2OM1wH/BczMNvsT4Edp9UGSJEmSJL09nIinYBzqC8AtIYTnSNaE+MeT0AdJkiRJknQC5R69yfGLMT4JPJn9+/PAxBPxupIkSZIk6e3hZIyAkCRJkiRJpxgDCEmSJEmSlDoDCEmSJEmSlDoDCEmSJEmSlDoDCEmSJEmSlDoDCEmSJEmSlDoDCEmSJEmSlDoDCEmSJEmSlDoDCEmSJEmSlDoDCEmSJEmSlDoDCEmSJEmSlDoDCEmSJEmSlDoDCEmSJEmSlDoDCEmSJEmSlDoDCEmSJEmSlDoDCEmSJEmSlDoDCEmSJEmSlDoDCEmSJEmSlDoDCEmSJEmSlDoDCEmSJEmSlDoDCEmSJEmSlDoDCEmSJEmSlDoDCEmSJEmSlDoDCEmSJEmSlDoDCEmSJEmSlDoDCEmSJEmSlDoDCEmSJEmSlDoDCEmSJEmSlDoDCEmSJEmSlDoDCEmSJEmSlDoDCEmSJEmSlDoDCEmSJEmSlDoDCEmSJEmSlDoDCEmSJEmSlDoDCEmSJEmSlDoDCEmSJEmSlDoDCEmSJEmSlDoDCEmSJEmSlDoDCEmSJEmSlDoDCEmSJEmSlDoDCEmSJEmSlDoDCEmSJEmSlDoDCEmSJEmSlDoDCEmSJEmSlDoDCEmSJEmSlDoDCEmSJEmSlDoDCEmSJEmSlDoDCEmSJEmSlDoDCEmSJEmSlDoDCEmSJEmSlDoDCEmSJEmSlDoDCEmSJEmSlDoDCEmSJEmSlDoDCEmSJEmSlDoDCEmSJEmSlDoDCEmSJEmSlDoDCEmSJEmSlDoDCEmSJEmSlDoDCEmSJEmSlDoDCEmSJEmSlDoDCEmSJEmSlDoDCEmSJEmSlDoDCEmSJEmSlDoDCEmSJEmSlDoDCEmSJEmSlDoDCEmSJEmSlDoDCEmSJEmSlDoDCEmSJEmSlDoDCEmSJEmSlDoDCEmSJEmSlDoDCEmSJEmSlDoDCEmSJEmSlDoDCEmSJEmSlDoDCEmSJEmSlDoDCEmSJEmSlDoDCEmSJEmSlDoDCEmSJEmSlDoDCEmSJEmSlDoDCEmSJEmSlDoDCEmSJEmSlDoDCEmSJEmSlDoDCEmSJEmSlDoDCEmSJEmSlDoDCEmSJEmSlDoDCEmSJEmSlDoDCEmSJEmSlDoDCEmSJEmSlDoDCEmSJEmSlDoDCEmSJEmSlDoDCEmSJEmSlDoDCEmSJEmSlDoDCEmSJEmSlDoDCEmSJEmSlDoDCEmSJEmSlDoDCEmSJEmSlDoDCEmSJEmS/h979x0dZZm3cfx7PzOThBQgQEJfSjDUBYGANFFBQQUWUAQrKLpiY1exUhUXGwr4YgNEUOygKwgKItJFShBEFDD0FkIoIYWUKff7RyTKSgnKEMr1OWcOzDNP+d0zJ3POc81dJOgUQIiIiIiIiIhI0CmAEBEREREREZGgUwAhIiIiIiIiIkGnAEJEREREREREgk4BhIiIiIiIiIgEnQIIEREREREREQk6BRAiIiIiIiIiEnQKIEREREREREQk6BRAiIiIiIiIiEjQKYAQERERERERkaBTACEiIiIiIiIiQacAQkRERERERESCTgGEiIiIiIiIiASdAggRERERERERCToFECIiIiIiIiISdAogRERERERERCToFECIiIiIiIiISNApgBARERERERGRoFMAISIiIiIiIiJBpwBCRERERERERIJOAYSIiIiIiIiIBJ0CCBEREREREREJOgUQIiIiIiIiIhJ0CiBEREREREREJOgUQIiIiIiIiIhI0CmAEBEREREREZGgC1oAYYwJM8YsN8b8YIz5yRgz9NftbxtjthhjVv/6uDhYNYiIiIiIiIjI2cEdxHPnAm2stZnGGA+w2Bgz89fXHrXWfhLEa4uIiIiIiIjIWSRoAYS11gKZvz71/PqwwbqeiIiIiIiIiJy9gjoHhDHGZYxZDewFvrbWLvv1pWeMMWuMMaOMMaHBrEFEREREREREil5QAwhrrd9aezFQCWhqjKkH9AdqAU2AUsDjxzrWGHO3MSbRGJOYmpoazDJFREREREREJMjOyCoY1to0YD5wtbU22ebLBSYCTY9zzDhrbYK1NiEmJuZMlCkiIiIiIiIiQRLMVTBijDElf/1/MeBKYL0xpvyv2wzQBVgbrBpERERERERE5OwQzFUwygPvGGNc5Acdk621M4wxc40xMYABVgP3BLEGERERERERETkLBHMVjDVAw2NsbxOsa4qIiIiIiIjI2emMzAEhIiIiIiIiIhc2BRAiIiIiIiIiEnQKIEREREREREQk6BRAiIiIiIiIiEjQKYAQERERERERkaBTACEiIiIiIiIiQacAQkRERERERESCTgGEiIiIiIiIiASdAggRERERERERCToFECIiIiIiIiISdAogRERERERERCToFECIiIiIiIiISNApgBARERERERGRoFMAISIiIiIiIiJBpwBCRERERERERIJOAYSIiIiIiIiIBJ0CCBEREREREREJOgUQIiIiIiIiIhJ0CiBEREREREREJOgUQIiIiIiIiIhI0CmAEBEREREREZGgUwAhIiIiIiIiIkGnAEJEREREREREgk4BhIiIiIiIiIgEnQIIEREREREREQk6BRAiIiIiIiIiEnQKIEREREREREQk6BRAiIiIiIiIiEjQKYAQERERERERkaBTACEiIiIiIiIiQacAQkRERERERESCTgGEiIiIiIiIiASdAggRERERERERCToFECIiIiIiIiISdAogRERERERERCToFECIiIiIiIiISNApgBARERERERGRoFMAISIiIiIiIiJBpwBCRERERERERIJOAYSIiIiIiIiIBJ27qAsQOZtlZGTw8ssvU7x4ca677joqV65c1CWJiIiIiIickxRAyAXnsNfy/V4fGw5YAOKjDY3Lugn3GACstaSnp/P6668zYcIELr/8cm644Qa2bNlSZAFEWk6ALzb5+GKLj7RcS4gDTcq5uKGmh4uiHYwxp+U6fr8fl8v1h+2BQADHUYcpERERERH58xRAyAUjYC3TN/p4f52X5EyLxf76iqF8pJdbankon7YKb14e/fv3x+PxMH/+fCpWrFikdX+91cvzy/LI9kExtyXEBdk++HKzny83+2lfzcXjTUMIdf/1gOB/w4dAIIAxRuGDiIiIiIj8ZbqrkAuCtZb3f/YyMjGPfdkBShWD2HCH2HCH0sVgzdQx9GhelUtbX87OnTvJzMwkLy+PsmXLkpubi7X5YUUgEDijdS/Y4WXokjwcYykXYSgR6lDM7RDhcSgbYShVzPLlZj/PLs0jYO3JT/g//rc97777Ltdeey0PPPAAfr8fx8nvXbFhwwbuvPNO3nnnHTZu3HjMY0VERERERE5EAYRcEDalBZj0k5dQl6VkqIPrd0MWNk8bzeaPnqJMgytpOvIHGre7gUsvvZSffvqJ5ORkQkNDC4Y4nMmeAF6/ZcSKPMJcEBVy7Ot6HIfYcMvX2/ys3nvqgcCR9kyfPp1ly5axYsUKOnTowPjx4/n3v/8NwKhRo7jlllto1aoVWVlZ9O7d+6hjRURERERECkN3EHJB+HyTj2yfJTLkj3MlpG35gbDSFbjkX69DifJM+SmLgQMH4nK5mDBhAj6fj+zsbPx+P3l5eSxZsuSM1Lxkt5992RAVcuL93I6DY+Dj9Xkn3C8QCBzVayE7O5upU6fSvXt3hg4dSuvWrdm3bx/3338/Xbt25a233gLg2muvZcmSJZQpU4YpU6awePFi5syZA1DQM0RERERERORkFEDIec8XsHy3y0+YC+CPAURE2arkpe9n8ZOdWPV4Ai/2voJbb+tJ+fLlmTRpEnv27KFYsWK4XC4++eQTli1bRl7eiW/2T4f52304hkJNMFki1LJyTwB/4NiBwJFJJB3HYe/evWzcuJGPP/6Yrl278uijj5KYmEjr1q2ZN28eGRkZDB48GGMMw4YNo2bNmkyYMIGRI0cyefJknn/+eQYNGgQogBARERERkcJTACHnvTw/eAPgdjkXWU4AACAASURBVI59Ix/ftR9l6rQkbfMqQkvGgnGxdesWUlJSSE5O5t5776Vfv36ULVuWO++8E8dxCAk5SbeE0yDTZ3FM4W7wXcbgs5D3u1EYb731Fp9//jmQP1xi3bp1PPDAA9SvX58xY8bQq1cvIiMj8fv9ANx1111kZmYyZswY6tSpQ8uWLRkyZAgAW7Zs4bbbbiMmJobo6GiWL1/OqlWrNAxDREREREQKTatgyHkv1JX/yMizHKsHhLtYJJc8/gEA+w9lUjY6kj5Ry/nXA/fTqFEjFi9ezOLFi2nfvj0fffTRGas7OtQhYAs3r4M3YPG4DKEu8Hq9eDwemjVrRpUqVbDW8tFHHzFy5EjuuusukpOTadiwIdnZ2cTHx9OzZ09efvllLr30Upo1a8bo0aN58MEH+c9//kNSUhJer5dixYqRmJjIvHnziImJ4bnnnqNixYpYa0/bEqAiIiIiInJ+08+Xct5zOYY2f3OT4zPA8XsUBHxefJ5wLq/s4uWRI8jOzmb69Ol88cUXHDx48IyGDwDtqrgJ2MINc8jIM7QqB44xeDweAP72t7/Rv39/Pv/8c6699lq+++47+vTpQ3R0NJUqVeLOO++kQYMG7N69myeeeIIVK1bQrVs30tLSWLhwIc2aNaNJkya89tprPPXUU7Rq1YoKFSowaNAgHn/8cWJjYxU+iIiIiIhIoSmAkAtChzg3JUINh3ItxwohAoEAm5d9xbphV/Nwi2gSExMZNGgQHo+H5s2bn/mCgYZlHSpFQlrO8ffZv34ZG6a9Ql76frrXCQNgwYIFdOzYkZkzZ1KtWjVeffVVSpQowd69e7nnnnv49NNPiY+PZ926dUyYMIF27doRHh7OwoULue666+jfvz8vvvgiALfddhvTp08H4Oabb+aFF16gVKlSQW+7iIiIiIicf8y5MIlcQkKCTUxMLOoy5Bz35WYvI1fk4Q1YokIMIa78X+/z/JaMPIv/wE7cs4fS58Z/cNNNNxVxtfl+2Ovnwbk5GAMlQn6bkDJ17UI2THmBQMASCCtOjdgonrzvZlwuF927d+fdd9+lc+fOANSqVYuHH36YN998k7i4OOLi4rj77rvp3Lkz7du3Z8CAAcyfP5833niDcePGUbZsWcLCwtiyZQtVqlQpyuaLiIiIiMhZzhiz0lqbUJh91QNCLhjXVHMztFUI8aVcZHlhT5ZlT5Yl0wvx0S6e7xzHvKkfnDXhA0CDWBej2oQR5YGUw7Av23IoN8ChzGzSk7dQb8AX/Of197i0VjleeeUVKlWqRGhoKKGhocycOZNZs2bRvXt3pk2bRnh4OMnJyQwfPpxrrrkGt9tNTk4OxYsX5x//+AfZ2dlkZGQQEhLCypUrC+aPEBEREREROR00CaVcMIwxtKzooVl5N0kHA+zKyJ/gsWKUw0XRDq7jrJJR1C6OdTGlczjf7vQxfbOP/dmWuMvbs2OilwdLLmX80FEFgcGePXvo1q0b99xzDxUqVKBWrVps3ryZdevW8cQTTzBhwgSefPJJ7r33Xnbs2EH//v3p2bMnK1eupH379lStWhWAhg0bAoVbAlRERERERKQwFEDIBcflGGqVdlGrtKuoSym0EJfhiioerqjiKdjW6sXnGPzYg1x11VXk5ORw4403cuWVV+L1evnggw/4+uuvueiii7jrrrsIDw8nMjKSZs2aUalSJUqVKkWpUqV45513WLJkCf/+979p3LhxEbZQRERERETOdxqCIXKOql27NmvXriUxMZH777+fO+64AwCfz0fFihV57LHHAOjUqRMlS5bkpptuokWLFrzzzjsF54iJiaFz584KH0REREREJOjUA0LkHFW+fHmqVatG8+bN6dq1K16vF8dxiI6OpmnTptSpUweAa665hsGDB+P3+7niiisICwvD6/UWLNcpIiIiIiJyJiiAEDlHeTwe2rVrx2uvvcbzzz+PMQZjDK1atWLWrFnMnj2bUqVKMX36dK6++mqioqIoUaJEwTwPIiIiIiIiZ5KGYIico2JjY6lRowbVqlXj008/xe3OzxOzsrKoUaMG99xzD2vWrOHqq69m+PDhOI7+3EVEREREpOioB4TIOcoYw80338zatWuZPHkyNWrU4Oeff+a1116jUaNGjBw5km7duhV1mSIiIiIiIgAYa21R13BSCQkJNjExsajLEDkrpaWlMXr0aNavX8+hQ4fo168fbdu2LeqyRERERETkAmCMWWmtTSjUvgogRM4PmZmZREZGFnUZIiIiIiJyATmVAEKDwkXOEwofRERERETkbKYAQkRERERERESCTgGEiIiIiIiIiASdAggRERERERERCToFECIiIiIiIiISdO6iLkDkXJHjs2xMC5DlBbeBvxU3xIT/tQzP7/fjcrlOU4UiIiIiIiJnLwUQIifh9Vu+3uZjwQ4/uX4LmILXapZy6FzDTYXIwgcRKSkplC1bFqAgfBg3bhzx8fG0bt0ax1HHJBEREREROf/oTkfkBLx+y8S1XmZt8VMiFCpFOVSKMlSKMlSIhK2HArycmMf29MDJz+X1MmXKFL788suCbXPmzKF58+bMmjWL6OhovF5vMJsjIiIiIiJSZNQDQuQE5mz3sXZfgMpRYIw56jXHGGLC4VCu5c01eQxqHkqoyxzzPIFAAI/HQ8eOHfF4PGzevJnq1auzYsUKbr75Zvr27XsmmiMiIiIiIlJk1ANC5Dhy/Zb52/2Ujfhj+PB7JUIN6bmWdfv8R2231hb833EcUlJSOHDgACNGjODFF18E4Ouvv6Zu3boAZGZm/uE4ERERERGR84UCCJHj2JQWINdvj9ur4fciQwzf7gpw4MABFixYABwdWni9Xjp16kRqaiotW7YkNzeXHTt20Lp1a8aNG5d/jshIAHbu3BmE1oiIiIiIiBQtBRAix5HlBezJwweAjJ3rmTf1PRYvXkxqaioAS5YsYeXKlfh8PjweD7Vr12bp0qU0bdqUypUr8+GHH/L444+zbt06nnvuOcaOHUuTJk348ssv8fv9J7miiIiIiIjIuUUBhMhxeBx+v+DFMSVvXMuEh7oyeUgvDmxfT0REBOXLlycxMZFt27bx0ksv8d577wFQt25dwsPDCQkJISEhgaSkJPbt28fUqVOJiIhgyZIlPPvss/Tp00dLc4qIiIiIyHlHk1CKHEflqPx8LmAtznHmgFg+bSJV6jejfbfHuLqai7bVPLz99tu89tprrFixgho1atC7d29atGhBSkoKHo8HgNq1azNnzhzeeecdBg0axL/+9a8z1i4REREREZGioB4QIsdRupihXhmH1MPHfn3XhtVsW7uc5j0eAKBhTH5I0a1bNyIiIpg6dSpNmjShV69ejB07lvT0dBYtWgRAjRo16NWrF/fee+8ZaYuIiIiIiEhRUwAhcgKd4ty4HDiY88eVKSJKlsFxe9iemsXV1VzEROQPm4iMjOTWW2/l9ddfB+Chhx7i0ksv5b///S9hYWEcPpyfaDRq1IjSpUufucaIiIiIiIgUIQUQIidQNsLhgYYheBzYmRHgQI4l22vJyLOk5rgpUeXvxCYv5KqqbgKBAIFAAIC2bduSlpbG3LlzcblcdOnShc8//5y3336b8PDwIm6ViIiIiIjImacAQuQkKkU5DGwWyp1/D6FKcQeXYygeYriucXmubxbH/rULycnOxuVy4TgOqampbN68ma5duzJlypSC87Rs2ZKQkJAibImIiIiIiEjRMdb+sWv52SYhIcEmJiYWdRkif7B7924GDhxIVlYWAwYM4Oeff+bVV18lISGB4cOHExYWVtQlioiIiIiIBI0xZqW1NqFQ+yqAEPlr0tLSGD16NOvXr+fQoUP069ePtm3bFnVZIiIiIiIiQacAQqQIZGZmEhkZWdRliIiIiIiInDGnEkBoDgiR00Thg4iIiIiIyPEpgBARERERERGRoFMAISIiIiIiIiJBpwBCRERERERERIJOAYSIiIiIiIiIBJ0CCBEREREREREJOgUQIiIiIiIiIhJ0CiBEREREREREJOgUQIiIiIiIiIhI0CmAEJECS5cuDcp5A9aS57dYa4NyfhEREREROfu5i7oAkbNdRkYG4eHhuFwurLUYY4q6pOM67LX8cjBAeq7FZaB8pEPVEganEDUvW7aMQYMGMXbsWOLi4v5yLV6/ZcPBAPO2+9mUFsACIQ40KeeiRUUXFSPNaX0v/X4/LpfrtJ1PREREREROLwUQcs7wBSyb0gKk5YLbQLWSDqXCghsGrFu3jvnz53Pvvfdy8OBBoqOjg3q9PyvHZ/lqq4/FO/14AwAWMFggtpihUw0X9WOO/nP3+/289tpr1KtXjzZt2mCtJS4ujsOHD//levYdDjBujZeUw5YID1SMBGMM3oBl+R4/3+7yc0kFFzfEu/G4/tpneCQUOhI+BAIBHMc568MiEREREZELjQIIOSd8n+LjsyQfGXlHb28Y6+L6eDeRIaf3l3THcTDGULt2bXr27Mm0adPYsGEDn3/+OX//+99P27VOh2yfZewPeWxOs5SP4Ncb+t/ej4w8y5trfHSLh8squ/F6vXg8HpKSkhgzZgw1atSgadOmNGzYkEceeYTs7GyAP30DfzDHMvr7PPL8UDnq6OM9jqFcRP6QjKW788OSW2u7cTmnfp0j9R2pcfr06bz77rs0btyY3r17ExMTc8rnFBERERGR4NEcEHLWW77bx8QffXgcqBRlCh4VIuGHVD9vrM7jsPevzy3g9/sBcLlcGGPIzc0lMzOTcuXKsXfvXhYtWnTWhQ8AU5N8bD1kqRzFMXsTRIUYKkTAhAVJvDTmbe69914AatasSVxcHCVLlmTy5Mn4/X4SEhJ4++23Af70fA1Tk7wc9kGZ8OOHCo4xVI6CxD1+1u7zn9L5j3xOR4IHn8/HkCFDmDhxIg899BCbN29mxIgRJCcn/6V2iIiIiIjI6aUAQs5qh72WKb/4KBcB4Z6jb2gdY6gQadiRYflu96ndxB7LkS783377Le3ateORRx7hwIEDfPjhh8TGxrJt2zby8vJOcpYz61CuZXmyn/IRHLe3wuZVi/lo0K189Z9b2Hy4GIsWLeKDDz7AGMOVV16Jy+WiePHiDB48mBtvvJFdu3aRl5eH45z618OBHMua1ACx4Sff1xhDiRCYu91/0pDgl19+AfLDhCOf0xtvvMGoUaNwHIeePXsyadIkfvjhB2bPns2PP/7I7NmzC64jIiIiIiJFTwGEnNV+2JvfTT/UffybyJhwmL/dhy9Q+F+6rbUFv6QfkZycTNeuXfnoo4/o06cPfr+fl19+GZfLRdu2bXn//ff/1E15MK3e68fCcYcwbFwxj5mvD6ZWi3bc98YsQht25tEBQxg3bhyrVq2iVatWlC1blmuvvZZffvmFGTNmULt2bTZv3vyn6vkxNf89LcyklwAlQmF7uiU1+/if3erVqxkzZgyQHyb89NNPtGnThnnz5tGiRQsCgQBxcXG8+eab/PDDDyxcuJCEhARWrFhBamrqn2qHiIiIiIicfmfX3ZTI/9iabgk9ycIGxdyGLB9/mB/iRH4/aeHq1asBKFWqFGvWrCEqKorrr7+e3r1743K5mDFjBr179+bnn3/miy++YODAgaxbt+7PNum02pN14vcndcdGylavQ5NOvQiPKgF+P+263kTr1q358MMPmT9/PlWqVCE0NJR///vfLFy4kE8++YTw8EJ0YTjW9Q5bPKewEIUxBsdAeu4fX6tbty6rV6/m4osv5tlnn2X58uVA/udVrVo1Jk+ezCWXXILb7cYYw4cffkjHjh2pXLkyaWlp/PDDDyxYsOBPtUNERERERE4/BRByVivs3IQWONGP7oFAgEAgUPDc7/czevRoatWqxYsvvsiwYcPIyMhgyJAhBTetjRo1omrVqqxYsYLw8HD69+/P5MmTSUpKonTp0n+hVafPyd6fEjEVOLR3F99MeJ5Pn3uAReMG8uqLz9K4cWNq1qzJ+PHjWbFiBdZarrzySu688072799PSkpKUOo5niOfXSAQwOfzAXDFFVfw9NNPA/DVV1/RrVs3AHbu3El8fDx5eXnk5eUV7H/zzTfz9NNP07VrV7Zu3crQoUPp2rXrnytIREREREROOwUQclaLjzbk+k88tCLLa4kONRQPOfbr1locx8FxnIIlJpOSkti8eTPr16/n/vvv5/XXX+eLL76gU6dOBAIBZs+ejeM4NGjQgL179zJz5kzat2/P22+/zeTJk4mNjT3dTf1TKkUacn3Hfz2+2VXUbHYVG1cuIKJ0ORyXm13bNjJhwgQ6depEuXLlePvtt5k5cyYAPXr0YN++fTRp0uRP1VM23JB3CtNxBKzFb6G4J/8zdhwHtzt/cZ5nn32WOXPmsGvXLjp37kytWrX44osvqFu3Lhs3bmTHjh2EhITgdrtZtWoVDz74II899hhdunRh2rRptGnTpqCXi4iIiIiIFD0twylntTplXBRz+8jyWiI8f/x53VrLvmzLjTXdR807EAgEcBynYKnGpKQknnnmGQ4ePMjEiRPZt28f69evp2vXrqSkpDBo0CB69eoFwC233MILL7xAu3btaNq0KWFhYTRs2BAAj8dzZhpeSPVjXXzyS/78F+5jdD9we0Jo1eN+WvW4n92H8mhSMYyWEck8+OCDAAwYMICIiAiio6MBCAsL+8v1fJp0/Hp+L2XLen7+fhlXtO9ITEQFAGbMmEFSUhIdOnQgPj6eG264gYEDB/L2229zyy238PLLL/P1118zd+5cHnnkEVq1asWUKVNo3bo18fHxXH/99X+pfhERERERCR71gJCzWqjL0LOuh4M5cDDHHrVaQp7fsjMD6pR20bR8/i/dR4ZZHJks0hhDeno69913H/Hx8UyaNIlSpUqRk5NDXl4el156KUuWLOG+++4jKyuLnTt30q1bNyIiIkhNTSUkJISEhISz9pf0CI/hssoudmeeeLnJrDw/1vHQurKLTz75hNDQUGJjY7nqqquYMWMGrVq1Oi31RIUYLinvYm/W8fdJ3riWCQ915f1BPUnZvpHSB39ky5Yt3Hnnnbz55psAPPbYY6xatYpnnnmG//73v2RlZXHbbbeRk5PD119/zciRI+nVqxcpKSk8/fTTDB8+nIiIiNPSBhERERERCQ4FEHLWq13axb8ahVCmmGFXpmX3r4+0XGhX1cWdf/fgceX/2n4keJg5cyaDBw9m7969zJs3j4oVKzJgwABKlCgBQMOGDWnUqBFJSUmkpqby/vvv07p1a5YuXUq5cuX4/PPPiYmJKbI2n4prq7tpGOuwPd2S5T06hAhYS+rhABs3bCD7y2foeGljFixYwEMPPQScOLT4szrFuSkbYUjOtMc8//JpE6n892Zc/8ZSBj/9DLd3bYe1ltjYWKZNm4bjOHz//fds3ryZcuXKcfnll/Of//wHx3Ho0KEDzzzzDABdunRh+PDhtGvX7rS3QURERERETj8TjBuQ0y0hIcEmJiYWdRlSxKy17MmyHMq1uBxDWM4+7v1nb4YOHUrDhg1xHIcDBw7wyCOPkJSUxP3338+NN97I0qVLue2220hKSioYkgGwfft2Jk6cyMqVK8nLy+PRRx+lbdu2RdzKP8cfsHy328+cbT7ScvMndTRAwELt0g7No7P4buZkmjZtWjCcJJgy8yyTfvKy4UAAjwMlw8BlYOu61Uwb3pduI76iY+0o2lY2eNxuvvnmGx599FGys7O59tpr6devHxUrVgTgxx9/pEGDBgQCAXJzc9m/fz8VKlQIehtEREREROTkjDErrbUJhdlXc0DIOcMYQ/lIQ/nI/OeJidtZtGgRL774Im3btuWf//wn27ZtY/v2/O1HNGvWjHLlyvHKK6/Qt29fMjIymDJlCrfeeitPPvkkBw8eLJgD4VzlcgytKrlpXsHFtnRLptfiGCgf4VC6mAFCqN+nzxmrJzLEcO/FHnZlWpbs8rPuQIBsn6VU6Rhio0J5qL6PuEqegiEz0dHR1K5dm+7du9O5c2cAvv76a6KiomjWrBmvv/46OTk5hIaGKnwQERERETlHKYCQc5bH4yEuLo6HH36Ybt260aJFC/bt20f16tXZtWsX5cuXx+/34/F4GDp0KM8//zyLFy9mw4YNtGzZkptuugngnA8ffs/lGKqX/JNrYZ5mxhgqRRm61/ptpFdKSiTpTRqQ+O084nr0KJgstFGjRsTFxfHcc8+xdetWFi5cSFJSEi+99BIA99xzT1E1Q0REREREThMFEHLOatCgAdZaypUrx5NPPslnn31GcnIyFStWZO3atVSsWBHHcfjxxx+57LLLaN26NTNnzqRFixaULl26qMu/IMXGxlKtWjXmzp1Lp06dCA8PByArK4vq1aszePBgVq1aRfv27fn000+LuFoRERERETmdNAeEnLOSk5MZMWIETzzxBCkpKdx9993s2rWLm2++maVLl3LDDTcwa9Ys3G43zz//PBdddFFRlyzA7t27GThwIFlZWQwYMICff/6Z1157jUaNGjFy5MizbqlTERERERE5vlOZA0IBhJyzfD4fl112GV6vl0OHDtGzZ08OHz7Mpk2biI6Opnr16kRERHDfffcVdanyP9LS0hg9ejTr16/n0KFD9OvX75ydAFRERERE5EKmSSjlguB2u2ncuDGbNm1i+fLlAHi9XqZOnUpcXByNGjUq4grleEqWLMmQIUPIzMwkMjKyqMsREREREZEzQAGEnNMqVapEjRo1AAomnLzhhhuKuCopLIUPIiIiIiIXDgUQck6LiooiMjISay0ul6uoyxEREREREZHjUAAh57R77rkHY86OZSdFRERERETk+JyiLkDkr1D4ICIiIiIicm4oVA8IY8x1x9h8CPjRWrv39JYkIiIiIiIiIuebwg7BuBNoDsz79fnlwFIg3hjztLX23SDUJiIiIiIiIiLnicIGEAGgtrU2BcAYUxZ4A7gEWAgogBARERERERGR4ypsAFH1SPjwq71AvLX2gDHGG4S6RM5Lh3Ith70WtwOlwgwu5/TMYREIBHCc36Z02Z9tWbnHx85MS8BCdCjULeOieglDiDu4U7/8vpb/rUtERERERC5chQ0gFhljZgBTfn3eDVhojIkA0oJSmcg5xlrLjgzLsmQ/uzMtLgdql3JoVNZhT5Zl/g4/Gw4EcAxYC1Eh0OZvbpqWdxHuOfUg4sCBA0ybNo077rij4CY/I88yZYOXNakBwJLjgx1pXtK8LixeokKgSw0318Z5+FuUCcokno7jEAgE/rA0qrVWk4aKiIiIiFzAjLX25Dvl3zVcB7QCDLAY+NQW5uDTICEhwSYmJp6JS4n8KVley6SfvKw/ECDEgXAPBCxk5Fq2peeHERdFO5QK+23ljsNey/4ciC1muOfiEEoXK9zN+e97FdSrV49evXqxfft22rTvwLoyV7A/21K6mOXHVMvew5YQF4S5IOX7r3Bi4nDF1CC+lMN18W6urur+y6HA//ZyWLp0Kc899xy1atUiOjqaVatWMXr0aMqWLfuXriMiIiIiImcfY8xKa21CYfYtVN/oX4OGb4H5wDfA4pOFD8aYMGPMcmPMD8aYn4wxQ3/dXs0Ys8wYk2SM+dgYE1KYGkTOVrl+y5s/5JF0MEClSCgbYYgKMZQINeQELIdyLQeyA6TlHN0DINxjqBxlOJRnGftDHjm+wuV5R272f/rpJ6pWrcqQIUNo0aIFyRUuZ392gNhiAX7aZ0nNthQPgYyf5zOvX3O2ffMeqQvfJ2Xm/7E708/0jT4W7fT/6XYf+QowxuD3+9m5cyfz5s2jX79+dOvWjfT0dJ566iluuOEGypYtyxnKK0VERERE5CxVqADCGHMXsBzoSv7wi6XGmN4nOSwXaGOtbQBcDFxtjGkGvACMstZeBBwkf4UNkXPW6hQ/mw9ZykdwVMDg9Vs2p1mKh0LxUMPGtADZvj8eHxtuSMmy/Ljvj2GAtZZAIHDUttmzZzNw4EAeeughnnjiCYoXL07lWg1Zf8BPTKiPDJ9Dcnoe4YFssJaDvyTSbMAUGvV9g7RN33No3WIyDqQS4sCMzb5CBx8AmZmZ7N+/H/itrStXrqR79+689NJLuFwu5s2bR1ZWFlOnTsXn87Fw4UKAP7RDREREREQuLIUdgrEBaGGt3f/r89LAEmttzUJdxJhw8odt3At8AZSz1vqMMc2Bp6y17U90vIZgyNnKWsuzy/LI81uiQo4eyrAjI8DP+wIF2zPyLDWiHeJK/jH3S8+1hHsMjzcNKbixP9YEjmlpadSvX5+OHTvy+uuvAzB06FA+mTWfds/OJCInhdkzprLhm4+p3e0RyiVczeInO+DLOYwxhtiGVxLf5SG8rjAiPIaKUQ4967hpVO7k08FkZ2ezcOFC9u7dyy233ML69euZO3cu06dPx+VysXv3bho2bEhGRgZpaWncd999TJgwgXnz5pGeno7jOJoDQkRERETkPHPah2AAO4GM3z3PAHYUohCXMWY1+atmfA1sAtKstUd+B94JVCxkDSJnnUwv7DtsifT88bUD2RbX7+63Q12QevjYgV9UCOzJskf1RnAch8OHDzNkyBAeffRRZs+eTcmSJbn99ttZvXp1wX4DBw7klx9WsGHmeMbe1579e/dgrJ8tsyeQl5VGmbqXEhJVisuen0vtHgNwhRYjff1C9h/KIMSBTYeOH0IGAoGCngthYWEcOHCAF154gbi4OBYsWEDdunXJzMzEGMOiRYu49dZbmTt3LlFRUXTo0IHIyEiys7MZOXKkwgcRERERkQtcYQOIXcAyY8xTxpingKXARmNMP2NMv+MdZK31W2svBioBTYHax9rtWMcaY+42xiQaYxJTU1MLWabImeW3+bOyHuvm2lr4382B49zrW2vBWiy/HZCenk6fPn1ITU2lTp06DBgwgM8++4y7776b7Oxs1q5dS0ZGBm63m1Y3PsCid17g8KED1C+jAAAAIABJREFUFK/egMYPTSQvfR+Zu5KIqX8FvuxMts19l+TlX7BwYHt2LZpCwO/DGPAeY2TEkdDBcRwcxyErKwtjDDk5OWRkZFC3bl0+/vhjQkNDueaaa2jYsCEPPPAAgwcP5pJLLmH+/PlcffXV7NmzhxYtWtC6des/+xaLiIiIiMh5orDLcG769XHk9mnar/+PKszB1to0Y8x8oBlQ0hjj/rUXRCVg93GOGQeMg/whGIWsU+SMCneD25U/34PHdXTaEO6BlMO/PfcGoFTYsXsB+Kwh1A1bktbx308/pVevXgD8+OOPrF69mkAggNvtZunSpdStW5c6derQvn172rVrx+WXX073B4awa/MGGrX5B9m1riLXCSOqUk22fDWexn3HUrtHf1LXLmLnL5Op0el+Ypt2ImDza4oJ/2M9R4Z+pKSk8PDDD7N161Z69uxJSkoK1lr27NlDTk4On332GW3btmXixImkp6ezZMkSDh06RO3atalatSovvPAC48ePJyqqUF8VIiIiIiJyHitsAPElMACo+rtjrLW2/vEOMMbEAN5fw4diwJXkT0A5j/yJLD8CepEfZoick0JchpYVXSzc4ad85NGvlY902HzIj7UWY/J7S1Qu/uv8Dn4/jstVsG9qVoDkz4Zx+7Kv6dy5M1FRUWzfvp2mTZuyZMkSWrRoQZMmTRg7diwJCQmkpqaSk5ND9+7d6devHy+Mb0TFRleyY9331LyoOVupTOk6LVk/+TkykzcRU/9yyvz9soKeGhl5lrjiloCFRrFufD4fbnf+n7bf7ycQCDB48GCys7OpVKkSXbp04dVXX+XAgQMsWbKEl156iezsbNavX8/tt99OWloaKSkp7Nq1izlz5pCQkIC1ltjYWAYMGHBmPgwRERERETmrFTaAeA94BFgLFHYq+/LAO8YYF/lDPSZba2cYY34GPjLGDANWAW+dYs0iZ5UWFVws3uknM88S+buJKCM9UDrMkJZrsRYiA1mUDC0BUBA+7Nqwmohy1fD7PDjpybz33ntUr16diRMn4na7KVu2LLNmzcLtdjNs2DB27NhBbGws06ZN4+mnn2bgwIHExsby1vDBNOv3Pl+NepBV7z3DQVcpcg+lEhJVipSVXxHZ8b6CMSE+nw9wkX0gmb9XLUnpYmEc+SpYuHAhcXFxVKxYEWMM3333HRUqVKBy5cr07duXnj17sn79ehISEpg2bRopKSkMHTqUW265hblz53LFFVfQsGFDXnnlFapUqVLwXhxrQk0REREREbmwFDaASLXWTj+VE1tr1wANj7F9M/nzQYicF2LCHf5Z38O4NV4y8ixlioHHZTDGEFfSMHP+dyTPHkv9+vUJVHkQl9vDj/Om8c3E5ylerioJvYdxVWwGgxfOY/JF1Xnsscfo3LkzMTExrFq1ijvuuIOxY8cCcMstt9CkSRNWr17NL7/8whdffEFISAiNGjWit/mFzL6vsOXrCUSnp+Hc8h+2ffEaxh0CgHEcAtayY+1S9s8Zy8/7NtNz3Kvk5ZVg+fLlPP7440RFRVGrVi2WLFnCmDFj+Pbbb2nYsCGbN2+mZcuWxMbGMnz4cGbPns3u3bv59ttvMcZw5ZVX0rNnT7Zu3UrVqlUL3psjwYPCBxERERERKexdwZPGmPHGmJuMMdcdeQS1MpFzSHwpF481DaFlRRcHcmB3pmXZogV81O9a+OpZLmvZjDrdHiH5sJsNm7ax4JPxXPH4RG5+9kOeuKYmt7W/hF27djFq1Ci+//57YmJiuOeee/j222+ZOnUqVatW5dZbb2XEiBGEh4cze/ZsateuTfny5fnuu++IiopiyrgR/LO+m/j2dxAd35QdY+8kdclkIuq2IS3XkpJl+WXFfHZOfoqEunEs/GoGbVu3xO12s2jRIh555BHef/99UlJS2Lp1KzNnzqROnTpkZWWRlZXF2rVruf3221m4cCEjRoxg586ddOzYkTp16nBkmdyqVatirT1qEksREREREREofA+IO4BagIffhmBY4L/BKErkXBQb7nBdvEOHODeZeTA3w0/i/q2s2rIFgAM5lrmrN+EqX56Z+7ay4/3+VG3WmGnh4exu0oQbbriB2bNn8+ijj9K0aVNmzZpFWloaffr04brrriM7O5udO3dSuXJlmjdvznvvvUeTJk2IiYnhzTffpEmTJrjdbga3cPHwzGXUurQDV192Izl+S64PapeC6e+9RcreX/DviWHN98sJcRL473//y1NPPUXp0qU5fPgwN998M6NHj+aDDz6gb9++DBs2jBo1ajB9+nTGjx/PZZddxooVK4iLi+O2227jgQceoHbt3xa4McZoyU0REREREfmDwgYQDay1fw9qJSLniVCXIbQYdOt0NQ/d52Xfvn189dVXjBgxgi5dujBkyBA23Xc3jz32GL7sdNq0aUOXLl3o2LEjDz/8MJMmTSIrK4upU6cybtw4Zs+eTY8ePRgyZAgbNmygcuXKtGvXjosvvphly5bRqVOngmv7/X5KhLoYP3wgAWvJ8eUnhWEueGX0/5F7YBd/r1ePpk2bMnPmTGbPns0333xD9+7d2bVrF7GxsdSqVYuaNWvidrtJTEwkPj6e8PBw1qxZw7x58/jHP/5Bs2bN+O677+jRowelSpWiVKlSRfeGi4iIiIjIOaGw/aOXGmPqBLUSkfOMMYaXXnqJ2NhYFixYwIgRIxgyZAgAjzzyCPXr1ycqKgqXy0WbNm2oUaMGGRkZ9O3bl/DwcBo1akT9+vWZM2cOVapUoUyZMsybN4+DBw8CEBsbWxA+HBny4PrdyhqOMYR7DBEew8ED+/nyyy8ZM2YM1113HfPmzaNixYrk5OSQl5fHpk2b2LhxI5dccgkzZszgscceIzc3l0mTJrFhwwZ27tzJ8OHD+cc//gHA5s2bmTNnDg8//DAff/wxpUuXPpNvrYiIiIiInIOMtfbkOxmzDogDtgC5gOEky3CeTgkJCfbIGHORc4nf7yc6Opr09PSjtgcCAd544w369+9PhQoVKFasGEOGDCEtLY3atWszbNgwRo8eTW5uLk899RR33XUX8fHxZGdnU6tWrVOuw+v10rJlSyZNmkStWrUKltr8+eefefHFF8nJyeGiiy7CGMOoUaN44oknePLJJ1mxYgWZmZlcccUVp+stERERERGR84gxZqW1NqEw+xa2B8TVwEVAO6AT0PHXf0XkBFwuF4MHD2bQoEEF2z766CPGjx/P9ddfj+M4rFy5kquuuoo+ffqQmZlJ06ZNqVOnDq+++iq1a9emZ8+e1KtXjypVqvyp8AEgJyeH5s2bs3jx4oJtbrebBg0akJqayrJly2jTpg1/+9vf6Ny5M3379gWgSZMmBeHDkV4WIiIiIiIif0ah5oCw1m4LdiEi56u+fftSoUIFypUrx4cffkhMTAyDBw+mXLlyvPzyywwaNIhRo0ZRr149SpcujeM4dOjQgbVr1xIIBOjQocNfriEqKooaNWqwevVqUlNTSU1N5eOPP+bzzz/H7XbTo0cPxo8fjzGGQYMGHXNOB61oISIiIiIif0WhhmAUNQ3BkHNd//79+emnnxg2bBj16/82csnn81GhQgW2bdtGsWLFjnu8tfYvryyxZ88ehg4dSmZmJoMHD2bq1KmsXLmSrKws3nvvPUJDQ09Yg4iIiIiIyP86lSEYCiBEzoATBQhPPfUUISEhDBgw4A/7no7g4fcOHjxYMLzi+++/p3Pnzjz++OOULFmy4HrWWvV2EBERERGRQlEAIXIO8fv9R61ecSbs3r2b2NhY3O78UViBQEChg4iIiIiInLJTCSAKNQeEiATPkfDhdPd2OJEKFSoA+eGH4zgKH0REREREJOgUQIicJc5U+PB7Z7rnhYiIiIiIXLj0s6eIiIiIiIiIBJ0CCBEREREREREJOgUQIiIiIiIiIhJ0mgNCRP5g3+EA0zZ6WbvfYgMQF23oUsND5eJ/PbPMy8sjJCTkNFQpIiIiIiLnEgUQIlIgEAgwcqWXqUk+/BZCnPxlepfvMXy0zsellV0MaR5CuOfUgwifz4fb7S4IH3bu3EmlSpVOa/0iIiIiInL20hAMEQHyw4env8tjygYf0aGW8hGG0sUcShdzKBdhKFPMMn+7n37zcsnzBU75/G53ft75z3/+k7CwMJo1a8a4ceNOdzNEREREROQspQBCRABYmhxg1hY/ZcMtHtcfvxpcjkP5CMvqvX6mJnlPeC6fz4fP5ztq24cffkhCQgKzZ89mwYIFNG7cmIcffvgP+4mIiIiIyPlJAYSIAPDxei8eB9zO8b8WjHGICIHJv/gJBI7fC8LtduN2u1mzZg2vv/46ANWrVyc5ORmPx8Mll1zCtGnTsNbyzDPPnPa2iIiIiIjI2UcBhIgQCARYmRIgOsyedN/iHtidadmV+du2vLy8o/ZJT0+nefPmNG3alBdeeIHo6GiqVKlC+/btKV26NDNnzgSgXbt2vPnmmycMM0RERERE5PygAEJEyPGD356498MRxjgYA1leWzB84n9XtdixYwfbt29n8eLFbNu2jcjISLp3707v3r3Jzs5mxowZAEyaNInk5GTefffd098oERERERE5qyiAEBHCXOBxwOs/eU+EQ9t+Ys+ctygRagomlhw2bBilS5emS5cuTJs2jW+//RZjDPHx8UD+/A/fffcdF198MRdddBFLlixh/vz5REZGMm3aNHr16hXU9omIiIiISNFTACEiOI5Dq4ouDuaaE+4XyMtj9cSB7J87lrQdGwC46667GDNmDKNGjSIkJITu3btzxRVXsG/fPn788UcAWrVqRWRkJAsXLqR9+/bUqFGD8uXLA9CxY8fgNk5ERERERM4KCiBEBIAetdwELOT9Ty+IpKn/x6LB17D/lxVYt5uoBu0pExnKhAkTANi0aRMDBw7ks88+48svv6RatWpcdNFF1KtXj9tvv52BAwdy+eWXU6xYMa699lruvvtupkyZQs2aNYuimSIiIiIiUkQUQIgIAA1i3dxWx82+bMNh728hhD8vm31rF5I48g7WL/2Gm3r1If5v5ViyZAmQH0Dcf//9ZGVlMWvWLNavXw/ArFmz6NatGxMmTODAgQN89NFHRdIuERERERE5OyiAEJEC9zYM5V+N3QQwJGdZkrMCRF3zCBgHd1QMKW/fS5lVY7nmmms4fPgwb731Fn379sXtdjN79mxatWrFp59+Sr169di6dSvPPfccSUlJrFmzhtatWxd180REREREpAgZa0++7F5RS0hIsImJiUVdhsgFI88XYP6OABsO+PFbmDXyX6SsT+SePnfz3HPPUaZMGapUqcLBgweZO3cuNWvWxOv1kpGRQWZmJp06deKDDz7AcRycQqysISIiIiIi5yZjzEprbUKh9lUAISInk5OTQ3h4OGlpaWzfvp1WrVoB+ctvvvnmm3Tu3Jlp06axfPlynnnmmSKuVkREREREzpRTCSD006SInFRYWBjXXHMNV111FfXq1WPSpEnUrFmT1NRUZs6cCUDnzp0VPoiIiIiIyHGpB4SIFEpaWhqlSpUiEPhtgsqPP/6YHj16FGFVIiIiIiJSlNQDQkROu5IlS1K/fn0GDx5csE3hg4iIiIiIFJa7qAsQkXNHYmIibre+NkRERERE5NSpB4SIFJrCBxERERER+bMUQIiIiIiIiIhI0CmAEBEREREREZGgUwAh8v/s3Xd0FdXax/HvnJJeCCmUFKSE0ELv0vFVEJAiShMQBVEU0EsRgUuRdgUBqYKKSicYIAhKkyYSIBAgoQQCoYYUAun1nDMz7x+55IqiAiIgPp+1XEtOdmb2zDkJ7N/s/WwhhBBCCCGEEH85CSCEEEIIIYQQQgjxl5MAQgghhBBCCCGEEH85KWkvhPhLabpOng2sGtgbwcEIiqI86m4JIYQQQgghHjIJIIR4QllUnSxL4f87m8HB9HAH/ZkFOpHJKruv2MiygAJoQDl3Ay0DjFQqbsBslCBCCCGEEEKIfwoJIIR4wqTkahxKVNkXr2LVCl9TgLoljTzta8TfVflLZyDous6BBJXQWBuaDsUdwNdVKfpacq7GF9E2ipl13qjtSGnnv7Y/qqpiNBr/suMLIYQQQggh7o4EEEI8QSKTbKyKsQHg6Qh2/51hYNN0jiarHEy00aasiTZPmf6yQf/eeJV1Z22UdAH7X8xwUBQFDwfwcDCSlq8zMzyDd+o4UM7T8S/pC1AUPthsNkwm+ZUnhBBCCCHEoyJFKIV4QpxMsbH0lBUPByjlohSFDwAmg0IJZ4VSzgrfx6nsvKL+JX24kK6x4ZyV0r8IH3Rdv61dbmYaPy4cwap3WvH6qP+wbMXKB9YHTdNu+/PKlStp0KABEyZMICws7I5thBBCCCGEEH89CSCEeALYNJ2QszY8HZXfrfVgMiiUdoXv4mykF+i/2e5+7blqw8Go/Kq2w63ZFqrNCsDJ3WF4+ZXnncXbKdAUPpw8jdTU1D917lshh8FgQFVV4uLiCAkJYcOGDSxdupS6desyePDgojZCCCGEEEKIh0v+FS7EEyA2TSPLAs7mP15WYTYUtolMerCzIFLzdU6kaPxyNYWu69gsBez/ZhHRO9cDcGLPRqyWfEKnDuLasd00HzABDw+Pez6nrutFsxkURcFisbBx40aeffZZwsLCePbZZ/n6669ZtWoVH330Ebm5uUyZMgUorA0hhBBCCCGEeHgkgBDiCXAkUcX+HuosejjAgYQHOwC/kqmhqiqGn9WWuHb2OKrNisnOnuzUZBLPnyA3IxXfijXYt2ouzXoN5Z1F23Cr1Z4TMeew2Wx3dS5d19F1HUVRMBgMZGZmAjB9+nSmT5/OqFGjGDZsGB4eHqxdu5bY2FgOHDjA0qVLmT9/PoAUphRCCCGEEOIhkwBCiCdAhoV7CiDsjJBteXBLMFRVpcAGiqGwE/nZmVjyc9n+2SQOhX0JQLWWncjNSOXCsZ+o0qw97j6+uHmVRFNVjq79hOnTPyIhIeGuzqcohTtnxMbGsmrVKjp06EBUVBQvvPACjo6O3LhxA4CcnBxiY2Np3LgxACkpKSQnJxMaGvrArl0IIYQQQghxdySAEOIJYG8E9R7yBE0H85/86T916lTRjAWj0YjRAFeP7WbpyG6sGPMKdg5OBLfqzIWj+wDwrVgDV6+SXD19BN+gmlRr2ZHv549lTp9GJJ87xltvDyYgIOCO57rTconJkyfTsWNHYmJiyM7OZu3atVSvXp2GDRty7do1cnJycHZ2xt/fn+joaIKDgzl+/Dg//PADXbt2/XMXL4QQQgghhLhnsiedEE+Aih4GTt/U8HC4u/bp+VDd5/6XIERFRXHw4EH8/f1xc3Pj0qVL9GrXAfsKT+NdpiLhoYtIT46nUuPnOHtgO1E7Qqnxf10pVb4aWxb+m3K1mtKq7wgs+bmkp6Vi9vClYR373zzfreUSycnJlChRgrS0NH766SciIiJwdXWlfv36LF68mLi4OFq3bs3GjRuJjIykWbNmvPHGG8TFxXH+/Hnat29/39cshBBCCCGE+HNkBoQQT4DaJYwYFFC1P54Goes6BRo08b23ACIhIYHz588DUKNGDQYMGMCRI0cAiI2Npe3/tabbB3NoOuBDglt2YsvCcbh4eFO+TjN2L59J8oUYrpw6jG9QLewcndB1HbO9I1YXX5r5KSgU9j0/P/+2vgJ8/fXXtGrVimHDhrF27VpcXV3JyMjg4MGDADRo0ABfX19CQkJo0qQJFouFAwcOoKoqZrOZSpUqFYUPsgWnEEIIIYQQj4YEEEI8AdzsFZr4GknI/t+g/bck5UKFYgpl3P54x4xbrFYrZ86cISQkhBMnTrBlyxY2btzIokWLiIqKIikpibNnz/JMgJG0fJ3W/UZx6sdN5GWl07BzfyrUbcH66UNw9SxJjw+/pmzNp1EUBdt/s4D6pewwGAxcvHiRhQsXAhQVmTxz5gwHDhxg5cqVdOrUiY8//pj169fTp08f1q5dC4CPjw+5ubns2bOH7Oxs+vfvT69eve5YaFK24BRCCCGEEOLRUP5osPI4qFu3rn7rSasQ4s6sqs6yU1aiUlR8nBQcTMqvvp6cA6VdFd6qaYer3e8HEKqq3jaAX7VqFUOGDMHZ2ZmFCxdSo0YNli1bBsCIESPw8fFh/8EIdueU4ciJs2wY0YZabXrQbvAULPm52Dk4FR1L0zRUFBKyoXMFAy0DzCj/3T0jKCiIevXqceLECb7++muio6PZsWMHwcHBrFy5kq5duzJs2DAyMjJo1qwZgwYN4vLly+Tl5WGxWOjatasstRBCCCGEEOIhURQlUtf1unfTVmpACPGEMBsV+lYzs/eqgV1XbNzI09HRUQAdBTsDNPc38lxZE07mP579cCt8+Pbbb8nJyaF27do0bNiQqlWr0q5dO6BwKUZoaChpaWm8//77jBvzAWXLB3L6VDzVugwmImQWbQd9WBQ+aKqKriikFSjkFGi0L28qCh+sVis2m42AgAD27t1LeHg4/v7+pKSksHfvXipUqMCxY8cwGo0UFBTg4+NDWFgYW7ZsoVy5cvTu3Zt33nmHoKAg4H8zKIQQQgghhBCPB5mLLMQTxGRQaF3GxITG9gyobqZLBTMdK5jpV83MxKft6VzRfFfhA8D58+epX78+CxcuxGq1UqlSJcaOHUtGRgY//PADAMHBwQQEBLBs2TJGjRrF6NGjKcjLYcLgPkz/93CKlfBj/adTic/SuZqpc/lmHrEX4ynrbmBIXQeeK2fH+fPnGTBgABMnTsRms7F+/XpcXFxIS0sDCpdXtG/fHi8vL4xGI7t27aJv374cOHCAatWqMXjwYKpXr063bt1QVZXixYsDSPgghBBCCCHEY0aWYAjxD2e1WjGbzUV/Xrp0KS1atGD37t1kZGQwdOjQoq+lpqYyf/58dF1n/Pjx2Gw2Vq9eza5du5g4ceKvttG8cPEi6bhic/DApumciz7M9BEDOXUympSUFObOncvZs2dp0qQJP/zwA8HBwUyZMoXJkydz/PhxQkNDAThy5AgjR47EYDCQn59P3759GTBgAACnT59m5cqVNG3alDZt2jyEOyaEEEIIIYS45V6WYEgAIcQ/yK1lCcuXL+fChQuMHz/+ttcBXnzxRdq3b4+Pjw/jxo3Dz8+P8uXLs2fPHlauXMnVq1f5+uuvuXnzJrVq1eKVV17B398fd3f3ovNomobBYLjjMoiKFSvy3Xff4eHhwTPPPEPr1q2ZOXMmERERLFmyhG7dutGgQQOqVavGhg0bOH78OE2bNqV8+fKcPHmSatWqPbwbJoQQQgghhPhdUgNCCHFHt8KA8ePHk5+fT9u2bcnKymLFihXMnTsXV1dXnn76aQwGA+3ataNEiRIYjUZKlixJeno6K1asYMqUKRgMBsLDwxk8eDAeHh7A7SHGrZ0m7rQMYs6cOYwZM4a1a9fy+uuvs337dgDq16/Ppk2bCA8Pp1WrVnz44YeMGzeOzMxMGjRoAFAUPvyyQKYQQgghhBDi8Sc1IIR4wuXk5PDFF19w4cIFAHJzc+nevTtNmzZl9erVNG7cGDc3N0aOHElmZiZJSUlkZWUBULduXapWrUp6ejrZ2dkUK1YMgGeeeYZx48bh4eFRtO3n3dZcaNOmDXv37iUlJYUuXbpgb2/Ppk2bAGjRogVRUVHs3r2b3r17s2zZMvbs2UPlypVvO4aED0IIIYQQQvz9SAAhxBMuNjaWN954g6lTp6KqKmazmYsXL9K5c2cSExM5ffo0c+bMwcHBgWnTpuHj40NkZCRQOKth0KBBDBgwgFatWjFixIjbjn0/O00oisKMGTMYP348vr6+RUEIQOvWrenZsyd16xbO4LoVeKiq+mdvgxBCCCGEEOIRkwBCiCdcrVq1qF69OteuXWPx4sWkpKRQq1YtoqOjad68OUuWLAFg0qRJmM1mFi9eTMmSJdE0DUVR+Pe//81PP/3Em2++CcDP68bc704TPXv2JDQ0lPz8fJ599llsNhuXLl0CoHPnzri6ut7WXmY8CCGEEEII8fcnAYQQ/wAzZ84kJyeHSpUq0b9/fwIDAwkMDKRWrVrEx8dz8uRJXFxc+PDDD3nxxRc5evQoBoMBTdMoU6YM8L9ZCA9ie0uTycRbb73F3LlzqVy5MiEhITz11FNFX/87FMcVQgghhBBC3BsJIIT4B2jVqhVnzpwp2l1i4MCBZGdnU79+fSpXrsynn35a1Pbtt9/G1dUVi8VSVEwSHvwshHHjxjFy5EigMNTQNK3oaw8i5BBCCCGEEEI8XmQXDCH+ARRFYfr06YwdO5bZs2dTrVo1PD09MRgMPP/885w6dQqbzUZGRgZvvvkmwcHB2NnZ/aV9uhVo3Koj8fOwQwghhBBCCPHkUf4OU53r1q2rHzly5FF3Q4i/NZvNRunSpbl8+TKOjo53bHPjxg2OHDlCmzZtHnLvhBBCCCGEEH9HiqJE6rpe927ayiNHIf4hTCYTgwYNYvbs2UWv/TyA1HUdLy+vv1X4cDNP51KGxoV0jYRsDVV7/ANVIYQQQggh/qlkCYYQ/yBjx45FVYxouo5BUW6rtfBbdRc0XSfTAjZVx8Gk4GL3aOsz2DSdUyk2vjxp40CCSp4NdMCsQFl36FfNjhZlzLg+4n4+Cpm6jWtaPhZdw6gYKK6YKKnYY5CaGkIIIYQQ4jEgAYQQj1CeTScpR8emgasdlHBSHngBRl3Xic/SCU9QiUhUUXUbuq5TwcNIywAjQR4GzMb/nTOnwMrOKzqrYixczIRsC5iN8JSbgdIuCqVcFDzsFQwKmI0KAa4KdUuasKQnkZ2dTWBg4D31T1XV2wpcapp2x3oQ58+fJ2T9Ro67N+eUuRJWVcfeqGAyAAqoGpxOhWF7Lfi7WpjV0p5gr8Lj5ufnExoaSrNmzXjqqad+8xx3IzExkezsbMqXL//Y1K1I1Ao4bMvggpYH6KAr8N+31EPwtZU3AAAgAElEQVQxUdfoTiWjM8a/aRDxy8+IEEIIIYT4e5IAQohHIC1fZ+9VG/uvqdj0wrGipoOvi8L/lTFSw8f4QIIIi6rzzVkbEYkqZgN4O4HJoKDrkJSj8UW0ho+TwhvVzXg5GYhMVhmzz8KNPJ2s9AzMzu6YFB1NUzhzUyP6OhRzAAeTQnEHqOxpIOamwnfnLSztUYsuHdszbcpkSpYsia7rXMvWCb+mcvS6ikWFYvYKTf2M1ClhxNWucNbFrYFlbm4ujo6Ot1335cuX8fPzw2g0kpmv8tWu02SXdqNE00o42SvcdosMYE9hEBGfBQO2FvDpc/bUKWFm3rx5TJs2jfHjx/Pee+/dd3BgtVo5ffo0hw4domPHjkRHR9O4ceOirUofhRhbNttsN7FDwQtz4WyHn92XXF1lm/UGl/U8njV5YfobhhC3PiNWqxWz2VxUuFQIIYQQQvy9PB6P74T4B0nK0Zh1uIAfr6oUdygMHUq7KPi6QKZFZ8kJGxvO2fizBWJVTWdVjJVDiSq+rlDSRcFkKBy0KYqCh0PhOTPyNeYetfDjVRv/2p1PfMQ2zkxpS+aez3A0g51JwWwEVQcUSMsHs0EnMzmemKs38XYC+/Q4zK6exOU6ERl1El3X2XLRxozDBUQkqrjbQUlnAJ2wc1amHirgQkbh9YWFhdGpUycWLlyIoiicO3eOd955h+HDh/Pqq69iNBpRVZVFJ+Gm5gzXz0BmAorCr+6RrmkYDeBqhgwLDFoTQ+9+rzNz5kyqV6/Onj17OHfuXGHbu7y/qqoWbRFqNptJSEhg9uzZNGrUiBEjRjBlyhQWL178p96r+3VJzWWr9QbFMFFMMd9xqYWTYqSEYsdZNYc9ttQ//bn6q8XFxbF9+3ZUVS16bfny5XTu3JnRo0cTFxcn4YMQQgghxN+UBBBCPET5Np3FURZUHUq7KrctfVAUBXd7BT9X2H1FZf819XeO9MdOpKhEJqv4u/Krgamu62iahqIoeDsbyLbojNybT8r+tcR+MZgSHUfh12lEUfscy3/rLBjAaIC409GcXtifjDwrVzILj1Ovzctk5ltZue0g35+6yZYLKqWcFUq6FF6nQVFwMiv4uxmwN8LCyDxmLfycBQsW0L9/f1577TWGDBlCr169CA4OxtHRkePHj5Oamkr/QUNZOboX5KaScXQzuZeOFd2zn7Nl3+TczK6kHgrFEH+UuH0bcShbj759+xbekxMn2LFjx13dv+zsbKDw6bvBYCAuLo7jx4/j6elJmTJlqFOnDvHx8Tz11FNMmDCBq1ev3u9bdV80XWe3LQ1XxYSd8vu/yhVFwRs7TtqyuaFbH1IP782tkOfIkSNMmzaN5ORkAH744QeWLVvGe++9R35+PjNmzODHH398lF0VQgghhBD3SQIIIR6ikzdUUvOguONvP8E1GhR8nGHbJRu2+9zVQdd1dl5Rcbe/vaZE4vmTQOGA1GAwkHkjke8XjOX4919z/WYGnhXrY7B3Rs++AYBms6JqYNXBqPx3hoECZv/qZCVdwpR7g0sZOmcO7MBk78hzfd7l5PnLLNt5HIfsK0UzLm71CeDa2SiOrJ6JarMRtu1HAgICmDRpEn369GH9+vU0bNgQm83GN998g8FgIDU1lT0HI/EdvYfyAxbhFvwMORePUZByhfzkC2iW/KJzZJ3ZT+apPcSvHk3a4Q0Ub9mfaJsfy5Ytw8vLC03TWL9+PSEhISQlJd3xvp07d459+/axaNEirl+/zsqVK6lfvz7t2rWjW7du2Gw2goODSUlJoVatWuzbt48VK1bg7+9/X+/V/UrQC8jQbTgpd1cbwaAoGBU4pWb/xT27d6qqFi2Lefnll3F1dWXv3r0AbN68mTp16tCsWTNGjx5NjRo12LZt26PsrhBCCCGEuE8SQAjxEO25quJu/8ftHE0KWRY4n6bd13mSc3WuZmm424HNUgBAbMROzkXsKmoT89MWVv27L8VKBBB39gw3Vg8jzaLg2foNsk7uRNd1DCYz+QVW4ic2JOfEdtD/25+CHJyC25KbEItVA7NXAKUCq+FSzINrMZGsG/kCFw5uLzqXJT+PjOvXAMhMSeDG1fOcWvcxJ49FsHTpUo4fP46vry/Xrl1jyZIlvP/++xQvXhxHR0dUVSVLccGWdBbFAMXqtKfg+kWyzu4n8+QusmMPkBmzj+y4w6Ts/AzFZKbcW0tIO7QOJfUKcYe2U7FqDWbNmkWJEiXYs2cPCxYswNHRseipO0BOTg7Dhw+nX79+2NnZMXz4cM6dO0d4eDjOzs4UL14cBwcH4uLi8PT0JC0tjYYNG7JlyxaaN29OVFTUfb1X9+u0mo2Ze1uK4I6Zk2o26mO2DMNoNJKVlcWMGTOYM2cOzzzzDBs3biQ9PZ369euTlZWFqqqUKlUKAIvFQn5+/h8cVQghhBBCPG4kgBDiIUrM1nGxu7u2OpBecH/nybIUPvG2FuTxYdsyZN1MpmL91tR89mUuRR8AICf9Bo26vEFgvZakxR1Dz8/EZrDDtVITbNmppB/9DgBVMeLWpC9ZkWGk7/kcACM6lvQk7Iv5oAAxe8L4ft4Y5vVrip2bF6XqPU+Fui1IT44nNmInRzYvY920tws7ZzCQnX6Dk7vDqP/KKIKqVKN27dpMnjyZli1b4urqitFoxGg04uDgwNSp07ArWQHL1Wh0TcWtclNyLkSScyGStIgNXPziLRI2TMXRtzKejbuDYkBXbZTu/AFpe78i8+gmVB0aNGhAamoqDg4O+Pn54eLicts9y8nJITo6mqeffpohQ4bwySefMHPmTEaMGEGZMmU4deoUgYGBzJ8/nw4dOuDt7U10dDRt2rShadOm9OvXjwsXLtzfG3YfMnUbdvf4K9ykKKjoFHB/wdaDoKrqr+pQ7Nq1i8DAQDRNo1+/fgwZMoSbN29y8OBBfH19sVgsrF69GihcGmMymXBwcHgU3RdCCCGEEH+C7IIhxENUWDgR7urBtX53ze74rbqOpqrYuTgRWK8VP3w5jc4jPuHE7jAOhX3Jv1ZGkBh3iph931Hctyyl2ryNsWo7jAbQtAJyLh4lK/YA9l4BKKWq497yDQrOh5O8bDB2pSrhWLklBjsnko9ux79CY6o8+wppJ3fRos9wTmY5Ez7jVbYumoC1IA//KnUIbtWJHZ9P5qOuwVhys3HzLo3Nko+LZ0ksBQVEnjlNrVq1APDy8qJYsWKcOXOGzMxMinl44OxQkWu7FmNvUshNOItDqYq4VW6K0d4Jo3MxSrZ7D6ODCw7+VbHzKIUlPRGnsrVJ2bMUW04qKUkJGI1G3n//fSpUqMCWLVuIiYmhatWqQGH9AVdXV8LDwzlw4ABvvfUWjRo14tq1a4SEhJCXl0erVq3o3bs3sbGxREZGMm7cOJYuXcrRo0dp2bIlEyZMoFy5cvf5jj1cD7uEY0FBAfb2hVN/bu1oER0djclkokqVKrRq1Yrs7GyKFy+Ou7s7AM8//zxhYWFMnjyZdu3a8Z///IelS5eSkZHBJ5988pCvQAghhBBCPAgSQAjxED3lZiAxR8PjLh7eKgp4Od3bUFFVVYxGI56OBnQUdF2n7TuTmNO7ER2GfkTDzq9zbOsaLp84RECVumTdTKLjvz7mYEYxYhPSKdj/JW5Pv4LZzQc7rwCSty/ErelrGJ6qj1NQU4q1fouMfV9jzbyBa5Xm5F3YiwIE1W+BR7OWxJ85RlTI1zzVsB3HvxxFx3/NwNHNgyXvdsJmtWBQDFR6ug15menERvzA4VUfk5oQj5+fH40aNeLq1asMHDiQpKQkvvzyS1xcXOj9Si/OXwwiB0eSd3xG3pUoXKu0QM3LxK/bhyRsnE7WmX04lCiHc5kaqAW5xK8dj8Fkj0fTvjiUb0BZ0xV6du3Iq6++Sl5eHs2bN0dRFE6dOsXixYtp0aIFvr6+KIpCqVKl6NKlCwaDAV9fX7Zt24a9vT1NmjQhJCSE0qVLExoaSnh4OO3bt6egoABXV9f7+0D8CZ6KHUkU4Mzd1YAAsOoadhjueebE/YqJiWH27NlomsaAAQNo0KAB+/fvZ/r06Vy/fp0yZcrwzDPP0L9/f9555x1CQ0MZMGAAAK+//jqdO3fm8OHDdOrUidq1a3Pp0iWaNWv2UPouhBBCCCEePFmCIcRD1CLASLb1j9ffZ1t0PB0UyrrfWwBx6+lyyFefosXuJiElDS+/8vhVqcOOL6ZgNJmp1rIj+1bPI7hVZzSbyoIBrYhf+i5Xp7dBSzyNYjTj4FcFl4oNcQlsyI2wD7HcuARAsRb9cQxsTOrm/5CxfQ660YyDSYG0eHZ9PYOtn02mfM2GBFaugleZIL5f8G8iNn5NsZL+lK/TjOtXYonaEUpi3ElcSzxF+sVo3N3dad26NYcOHSIxMZGTJ0/So0cP2rdvj8Viwd3dnYaGc6R8MxbXKs0J/vgEJdq8w80D35CfHIdL+XpYb17DknoNxWjCpXw90FSeem0exdqNoMnrE3i158tUrFgRAEdHRxRFYfz48bRo0YLQ0FBWrlxJgwYNGDRoENevX2fKlCmMHTuWefPmUbZsWQoKCli+fDlbtmzhhRdeIDw8HCjclvNRhA8AlY3O2Lj77UQBMrBRw+iK8SFsYzllyhQ6d+5M2bJlGTlyZNGSibNnzzJgwAAOHDiAm5sbs2fP5sKFC0yYMIGIiAguXrwIgJubG/Xr1+fs2bPouk5AQICED0IIIYQQf3MSQAjxEAV5GPBzMZCc89uDRquqczMPOlQw/mr7zD8SEhJCzZo1OXXqFLmnd7Hpo7dRNZ22gz7k4IYlADTo2I9rsdHMf705ORk3cHb3JPlMBGX+rx8V3voCJ2dn7H2rYnYvgXeLV3Gp2IiMsA/JiNxEwvxuZOxbil3JCuQmnuPGqf1op77D0dWdS9EHyM3NJXHvSg7Pfwfd5EhuZho34uNw8fAh/swxTHYO2Dk64+BRktZvfoirsyPXrl1jz549tGrVivXr1xMaGoq7uzvXrl3D0dGRYsWK8WbbmjiWKIslNwuzuw/OZWvhEtiQlF1LcK3SDKOTG0mbZ3P2Px0wOrlRvHF3nKu0RLVaea2mMz179qBx48YkJSVhtVpZsWIFq1evpkWLFiQkJHDt2jXGjBnD9OnTmTZtGrm5uWzbto0SJUpQqlQpPDw8+PLLL9m9ezeDBg0qut+/3Ab0YSqh2OGtmMni7rZrVXUdncLg4q+Wnp5OTEwMGzdu5IMPPqBixYrUqFEDgNdee43ixYtTp04dDAYDZcuWZe3atTg4OPDSSy/x9ttvFx1n0qRJvPvuu4/0PgshhBBCiAdHAgghHiKzUWFADTs8HRWuZurk/Gw2hKrpJOfoJOXqvBhkoqbPnVdI/fKJt9VqZcOGDRw7doxq1aqxbt06xo0bhzUzhauHt3LkcASlK9fFy78C+9bMx9G1GCXKViL5YgxvzP+eTh9vo16b7jzrnY6DQcPObMZy4xIFqUmk7P6Sm/tWYk2O5WbICIy+1Sg95idKV2uMg89T2Dk4cGDRSI5sXUNWTh7Jpw9hzE+nUvky1K9WHlXTSL4Qg0dAJTxKl8MzoCIVWr5MYP1WVNYu0LlTR2rUqEFubi4DBw4kOjqamjVr0qtXLy5fvkyLFi2YNWsW3k4G2vV5h9y4CKw2MDq44FG7HbmXjmO5GU+pTqNw9K+KV7NXMDq6U5B8kZvXLlChuJGWZcysXLmSWrVq0axZM0aMGIGvry+6rrN9+3beeOMNzGYz8+bNY8+ePfTt25fo6GgqV65MrVq1aNOmDSNHjqROnTrUrFnzL/183AtFUWht9sSCRp7++yGEquuk6BYaGN3xMJj/8r4dPHiQS5cuERQUREFBQdFnVlUL+7llyxZefvllFi1aRIcOHViwYAHx8fFMmTKFp556qqi9ySSrBIUQQgghniQSQAjxkBWzVxhS246Xg0wowLUsnYRsneRcqO5t5L069rTw//XA69ag7NbTYKvVCkBqaiqfffYZzs7OVK1alaioKNq1a0enTp14o//rJG6ezfUcqNF9JJvnjMKi6nQa+wVmJzfOXkmiorc9DUsZqBzgw+LnnAhwN+BWvh4J3/ybtNP78XtnDSX7LkDLyyT/xFYylw/kxsl9NBoTyv8NnUV+Xi7fz/0A3+LONKhflytXrhAaGsqezd9Q2scTJ2dn9PxMdE0l9WossVu/IuHHEMJ3bcPX15dVq1bh7u5Oz549+eyzz3j22Wd588032bdvH/7+/qxcuZK1a9fy1YiXcTFYSDm6hTwb2HmXw6FUEJknd2Ew2eFcoT7JW+dz46dVZJ3ZR9baYfSyP0hk+F42b97M8uXLad68OZ9++in5+fl07NiRkSNHMmPGDMLCwvD29ubzzz8nISEBX19fnn76aRYsWEC9evUeq+Dh50oa7OlsV4J8NG7oFqz67btbaLpOum4lBQsNTO7UN7k/0PP/fBvTn6tcuTLZ2dlcu3atqPgkFC4R0jQNZ2dnYmJiOHfuHDExMQQFBZGcnIy3tzcLFy6UGQ9CCCGEEE8oCSCEeASczApP+5kY28iefze2Z3QDOyY3sad3VTNPud/+Y3nrqfGtQZmqqixcuJDZs2eTkZFBiRIl0DSN/fv3A3DmzBk6depEly5deOaZZwjfvpEX3c7yXu8X6P7hUnKtYHZ0pe/wyRRs/Q/N7c6zesVSDh8+jHbzEqvaOfLvFypTs/1rNB3xJQ7WDG6sHo5BgUq1G6LG7qF+JX+GtqmKU8IRtLwsNGs+JV2MnImJISMjgwYNGmC1WomOimLu7JlcDt/Esd2bKOPni6uLM35+vrRu3Rpvb28CAwOZMWMG/v7+rFq1igEDBlChQgWaNGlCYmIi3bt3Z/fu3dgZdMa99ybatinYGSDH5IrHi1NwbdqPfBukxx4mLz4Gn64f0u7zk7zZpTXffLmA/v37s2TJEjZv3sz+/ftxdHRkxYoVBAcHk5KSwpYtW5g1axaapnH8+HHKly9PVFQUX3zxxcP9UNwnf4MDr9iXorbRjWxUUnQLKbqFG7qFG1jxNTjwkl1JGpuK3fOSnt9yK3gwGO78V4jJZKJ58+Z88803QOEuGLfs2bOH1q1bYzAYePHFFwkKCuL777+nTp06D6RvQgghhBDi8SUBhBCPkEFRKO6g4OVkwMn8v8FhTEwMX331FTdv3iwqLLl582Z27NiBoig0b96c2NhYJk6cCECHDh24fv06UPiU+erVq8ydO5dt27bRo0cPPF3saRlgYuXonkxu6sD4px2YM7wPa5Yu4e233+aDDz7AYDDQr18/QkJCsMu4glfeZb7t7Mj0xhruefH0f/UVRrzcAk83J4L93OlQ3sTYN17Gt3QpjEYjlStXJiMjg8DAQIxGIxkZGXTp0oX58+fTunVrbty4weuvv056ejqenp6sWrWKo0ePEhcXx/PPP4+bmxvbt28HCgeplSpVYtGiRXTr1o3Q0FDWrVvH4EFv0r9bB9Y+b+Ctmmb8PJ1wNIG9EZxd3TEajSx9rx3ruvvibFSpVKkS7u7uLFq0iH379nH48GH69OlDWFgYbm5upKWlMXXqVGw2G4cPH+aHH374zUH148xdMdPE7MEAez+62JWgvdmbjmYfXrP3paOdD/4Ghwcyq+CXwcP+/fuZPHlyUVHOW3x8fGjVqhVff/01ly9fLipAuWrVKvbu3Uu9evX45JNPiI6O5q233sLOzu5P900IIYQQQjz+ZIGtEI+REydO8MEHHxAfH8/zzz/P8ePHsVqtTJs2DRcXF2rWrMmcOXPYvHkzEyZMoEePHqxZs4bTp08X7RDQvXt31q1bx44dOxg9ejSNGjW647lMJhPTp08nIyOD3r1706NHD7Zv387kyZN57733GDp0KAaDgeeffx5d1ynh48Pnn3/O1atXOXnyJDt37qRmzZq0aNGCNWvWEB4eTq1atahSpQq7du3CbDaTmprKjh078PLy4sSJEwwfPpz58+fzwgsvkJWVxWeffYaPjw/jx4/npZdeIjQ0lBdeeAE/Pz8OHjxIREQEISEhtGzZkuLFiwOFhQkB3vOGt2vZkWsDVYPdrmWZdLQCY/t3pVy5coSHh9O4cWNq167Npk2bUFUVg8FAdnY2qqpy+vRpWrVqRdeuXWnXrh2Kovztp/7bKQb8lbvY4/Ue6LrO4cOHCQgIoGTJkkDhLJyJEyeyb98+XnnlFaZOnUqvXr14+eWXMRqNmM1mOnbsyIEDB3jrrbeoUKECERERuLi4MHLkSKBwlwshhBBCCPHPotzLFm6PSt26dfUjR4486m4I8ZcbOnQoJUqUYPTo0UWvxcTEcOPGDRo2bMiMGTMYO3YsW7Zs4bnnnmP37t0cOHCAKVOm0L17d5YsWXJP58vPz6d06dLcvHmzaPB9+fJlypQpc1u7NWvW0LNnTwIDA7HZbPj6+nL8+HGCgoLw8/MjOjqabt26kZOTw2effYbJZKJ3796cOXOGl156ia1bt2I0Gvnoo4+IjIykZ8+e9O/fnx49etCyZcui87Rr147+/fvTpk0bPv74Y7Zt20bnzp0ZOnToHxYktFgsLFiwgGHDhlGmTBlq1qyJp6cnKSkpREZGUrduXaKiotB1nTJlyjBnzpzHtrbD42bFihXs2rWLXr16ce7cOfr27cv48eMZPnw4R44coX///owaNYqBAwfeVvNBVVXi4+P57rvvCAwM5P/+7/8e4VUIIYQQQoi/gqIokbqu172rthJACPF4OHbsGG+++Sa7d+/GyckJVVWLll8cPnyYt99+my5dupCVlUVERAQ7duwAICEhgeeee45XXnmFESNG3PMSgqFDh/LMM8/QoUOH32yjqioeHh5cuXKFKVOmEBYWxpUrV+jWrRtTp04lKCgIVVXx9fWlW7duKIpCXFwcxYoVo1y5cri4uBRtX3nrWJmZmb86z4IFC9i8eTNhYWGYzeb7Wg4xe/Zs0tPTmThxIufOnWPevHn4+voWDYRnzpxJ586d7/m4/xS6rqNpWtFnD+Czzz7j3XffpUGDBsyfPx+TycSQIUM4d+4cLVu25N133yU4OBibzXZbUKRp2t9ySYsQQgghhLh7EkAI8TcUHx9Pjx49WL9+Pd7e3sD/BnDLli3j8OHDzJs3j5iYGKpWrcru3btp3rw5UDiT4dY6+3t1t4PEGTNmkJGRweTJk7l69SqtW7emZMmS3LhxAzs7O3x8fIpqOBQUFBAWFkZgYCC1a9f+3WNBYW2AgoIC+vTpw4EDB2jSpMl9XQtAbm4ufn5+3Lx5k5kzZ3L8+HFWrFhBQUHBbU/nxa/pul40EyY7O5vIyEiaNGlCREQEc+fOpXTp0sycOZOkpCRGjRpF/fr1i4Klw4cPk5iYyAsvvPAoL0EIIYQQQjxk9xJASA0IIR4TZrOZ6tWrs2vXLrp164aqqkWDwbS0NHJycli9ejXHjh3jueeeu+177zd8gN/eyeCXBg8eTOnSpSlZsiRr1qwhKCiIqVOnUrlyZWbNmoWDgwOapqHrOvb29nTr1u2ujrV69Wq8vb0ZO3YsRqPxT4UPuq5z6dIlAgMDKV++PMHBwYwZMwZAwoff8PMASlEUsrOzWb16NbNmzcLX1xdFUdixYwclS5bkhRde4MqVKwQEBNChQweWL1/O+fPnycjI4ODBgwwZMuQRX40QQgghhHicSQAhxGPCx8eHsmXLsmvXLjp06ICTkxMAOTk5ODg4EBwczNy5cxkyZAjTp09/6P1zcHBg4MCBbN++nYULF1K9evWirzk7O+Pq6oqiKHcVaPz8WJ9++ultx/ozFEXB19eXV199lYYNG1KrVq0Hctwn0a3g4efv1/Xr15k8eTJRUVHs2rWLUqVKUb16db755hteeuklGjRowOeff86kSZOoW7cujRo1YsOGDeTn57Nw4UIJeYQQQgghxO+SJRhCPEYSEhIYM2YMOTk5jB49mtOnT7NgwQJq167NRx99VBRKPCo/n6J/N6/fz7HEXycpKYn09HQqVapU9NqhQ4dYvXo1Xbp0oWnTpoSGhvLpp5/y8ccfU7t2bZYsWUJoaChbtmwhKiqKF198kbJlyxIYGMjcuXP/sDioEEIIIYR4skkNCCH+xtLT05k7dy5nzpwhIyODf/3rX7Ru3fpRd0v8zcXGxlKpUiU6derE+vXrAfj4448JDQ2lY8eOHDx4kIoVK/L+++8zefJkateuTZ8+fQCoV68eY8aMoVOnTmzbtg1VVXn++ecf5eUIIYQQQojHhNSAEOJvrFixYowbN47s7GxcXFwedXfE31hiYiKlSpUCCpf4tGrVipSUFL7//nvatm3L+YuXGfL+v2n1bFvav3iVjm1aMmLECCpXrsyZM2c4d+4cgYGBdOzYkWPHjtGpU6df1R8RQgghhBDibsn+aEI8piR8EH9G586dqV69Ovv37wcKd1kpX748HTp2YtGyNXwSaeH7g6fYlOjKf8Jz+TK+BA4B1Zk072taPfs88fHxHDx4EICxY8cyceLER3k590XXdTJ0K4laAQlaPjc0C+rfYNafEEIIIcSTSmZACPEIpeRq3MzTsengaFLwd1WwM95fXYS4uDi8vLxwd3d/wL0Uf0fPPfccGzduJCQkBF3XadKkCeGHj5FW/nnOpkRQ+swZqtRvzqUflhMcHIydgxnfKvWIyXFm8WVvKj/TnfbtG/3l/czQrZyx5ZCsW7Cg4YSRcgZHyhmdsFPuLyO36TqXtTwi1UwStAIMgALogBNGapvcCDI646wYH+SlCCGEEEKIPyA1IIR4yDRd5/RNlTUxNnZfsZFeAJoOdkYoX0yhZ2UzrcuY8XD4/SAiIiKCevXqcf36dV577TW8vLyYNGkSAQEBv33un225KJ58fn5+DBw4kJycHNyDGrPt+CW8i7uTn5ZMZkoCz705npAJ/XEq5om1II/4mKP0nraK4gFBJORAU18jXYNMGP6CYqFpmnxopRcAACAASURBVJUfranE2XIwGY3YY0ABVKAADTMKNY2u1De5Y76HICJNs/Kt9Tppmg1HxYALxtuKnRboGplYMaDwrMmLIJPzA782kCKrQgghhPjnkBoQQjymrKrO51EWFkdbyfhv8HBrwkO+DSKTdaJSLFT1svJJSwfKFbv9Ca2u62zYsAFfX18GDRrE4sWLCQwMJD09nS+++AKz2YzNZvvVzgR32nJRPPleffVVjh49Sp+R0xjYpweu7sWoO3wmmlqFrYsmkJZwmd7/WcXRravJz86k6wcLMNkVbqXp76qz75oNZzO0K29+oP1K0gpYl58EBgUfowOazYbJbLpt0G7VNSLUDBK1AjrY+WB/FyFEmmZlrSUJDR0fg90d29grBryxp0DX+M6Wgg2dqqY/Xu6kqipG4x/PmNA0DUVRJHwQQgghhLgDGY0I8ZDous6SExbmHrOSng8mAziaCmc+3PrP3giaBtHXdQbtyONqpgpAdnY2U6ZMoU6dOuzatYvExESuX7/OvHnzsNlsXLt2jaCgIFq2bMmoUaPYuHEj6enpnD59GqAoeAgPD2fkyJFs2LCB9PT0on6JJ9OYMWPYuXMnO6+70n7ofzAoYMnLweepILwDAjm5ZyMAtdv0oHHXgUXhA4BBUfB1Udh+WSUxW3sg/dE0jXTNygbLdcwGA0pyGmtGT2J8s/ZkXL9x26DdrBjwwY5regFbrTfQ/uBzatU1vrVeR0PHXfnjwMReMVAcMztsN0nSCv6w/a3w4fLly7/bzmAwoCgKZ8+eZdWqVSQlJf3hsYUQQggh/ilkBoQQD8m5NI3PoqzkWQuDhjs9IFUoDCKsKpxNham7klC2T2H79u2kpaWxadMmqlWrxpo1a2jcuDHh4eHs2bMHHx8f0tPTmTFjBsWLF6dDhw68//77NGnSpOjYa9asYerUqfTs2ZOQkBD27t3L1KlTcXJyeng3QTxUjo6OtGzfld2LxtDvw8X4lg3Eyd0Tk509rfu9j5N78d/9fpNBwaToHExQ6Vzx/vPqWzMbDAYDkdY0rGg45NlY8MZ7VKhfm3998xXuPl6/+j5FUfDSzVzQ8rimF+CvOPzmOS6reaRptt+c+XAndooBs65wxJZJezvvotezs7NZt24dNWrUoGbNmgDs3r2bWbNmkZOTQ7t27WjevDl169bFarViNv8v8IiPj2fx4sXs2LEDLy8vli1bxvr16+XnTAghhBACmQEhxEMTGmsl9b8zH/5odraWfIb0nQvZsmkDZpfibN68mXr16pGTk4OjoyM5OTmcOHGChIQEFi9ezPfff0+nTp1Yu3Ytw4cPx2azcfHiRTw9PYmIiAAgJCSEhQsXMmrUKCZOnIjFYmHFihWAzIJ4Uum6TtVXJnB62zJyM1Jx9/HFbF84iP+j8OEWL0cIT1DJtd7/Z+TWzIbd+/cxZsAgru06QMrleNy8PAlqVI/Ua4nE/HiAjOs37vi99igct2X+5vF1XSdSzcTxPopWumMiTsslS7cV/RzY29uzadMmjh49Sl5eHrqus2nTJiZNmsTSpUvZunUrixcvBrgtfEhJSWHOnDls2LCBgwcPsnnzZhRFYePGjVit1nvumxBCCCHEk0ZmQAjxEKQX6Gy7aEPXwfQ7y8gL4k9xY/14rGkJGFyKo/lWI2jgZHJy4rh8+TJ9+/alWbNmXLp0iczMTIKCgrh8+TKqquLp6cmKFSuIjY1l3rx5TJ48mdTUVMqXL0/9+vXx8fFh586dNGnSBH9/f6pWrcqVK1cAZL36Eyo5VyfPwYf2Q6ZhteTfV2FEs1HBqmlczNCo6nV3u0b8sl6C1Wpl1qxZrFwXSqU+nQlqWA8HZyd8ypVh26dfElCtCke+3ULZ2jXoOm44XgF+tx3PDRMXtDyydRsuyq//2krXbSTqBXhz97MfbjEoCpqmE6fmUtPkVnjNZjOVK1fm9OnTJCUlYbPZ2L9/P2azmbCwMFq0aMGYMWMAWLFiBd9//z3t2rWje/fuPPfccxw8eJDIyEjq1KlD165d2bFjR9HPnRBCCCHEP5nMgBDiIUjP10kvAMMfjP1St36C5Xocitkeh/KNMHj4EZOcz4ULFzh//jwpKSlcuXKF1NRU+vbtS5kyZbBYLMybNw8XFxeMRiMvvfQShw8fpqCgAFdXV+Lj49m/fz8vvfQS+/fvJzc3FycnJ+Li4ihXrhwgMyCeVLnWwtk2zXu9i7t36T8RNCnk2n6/hab9r07ErfDh/Pnzhd+tKHz33XeMXbqYui+9gGqxkJOWzotjhzEs9GtemjCSf33zFQW5ubgU9/jVsQ2KggLk6Oodz52HioF7L/yo6zqapmFWDGTqhRe4bNky6tSpw5UrV1i2bBk//fQTpUqVQtd1duzYgb29PYsXLyYgIIC3336blStX0qtXL5YsWcKECRMoU6YMrVu3ZufOnQD06NGD69ev89NPP6Gqd+6/EEIIIcQ/hQQQQjwEqg5/NMbPu3SM3JhduNZ7iTKjd+PdaQzOdbuQlpLI7t278ff3x9fXlypVqpCZmUlqairZ2dn4+PiwZs0a/P39cXNzY+fOneTk5BAaGspHH32Eo6Mjx44do06dOhQvXpwBAwbw6quvcuDAASpWrAjIDIgnlfYAcyXtN+pQ3rx5k2nTpvHzrZI//fRTateuzbBhw1i+fDkmk4lmzZoxpserrBs+kc/eHMbYxm3RNI3402dZN3kmc18ZiPdT/hh+Z4rQb5XCvN8SmbfqUmSn3GTVrHkAfPvtt0yZMoWlS5fSp08fIiIiuHLlCv369cPb2xsPDw8WLlxI7969iYyM5PXXX6ddu3YsXLiQY8eOkZeXR7Vq1bhw4QKxsbE4OTnRsmXLot0xhBBCCCH+yWQJhhAPgZMJHEyQ8TvF9q8vfwc1Jx33Jr2x3rhMcsgo8uMOsdaSjbenB6NHj+bzzz/n+PHj+Pn5ERoaSrVq1Th9+jRms5mjR4+yefNm2rRpQ//+/XnxxRcBaNu2LWFhYbRs2ZKlS5dy8OBBoqKiWLx4Mfb29r/dIfG35/CAfsMrdzjWunXrcHZ25tlnnyU6Ohpvb2/q1KnDtm3buHTpEj/++CPbt29n2rRpuLq6MnnyZFoN7s9hQzb+bp5MaPECFyOjyM/OwVZgYfDyTylZodxv9kEH7H8jM7e7yyxdU1UMP1sakp+dw+GNW9gftpl61WsSFxeHvb09RqMRXdcZOnQogwcP5uTJk7z11luEh4dz8uRJRo8ezbBhw7BYLPj4+JCXl0elSpUwGo3s27ePbt26sXXrVn744QcqVqzIsGHD7qp/QgghhBBPOgkghHgISjgrBHspJOfqaPrtSzFurct3a9qPlFXDyDn1A1puOmb/WlCQjXrxEAkJCezYsYPg4GDCw8OpWrUqcXFxBAQEkJubS2pqKmfPnuXcuXNMnz6duXPn8vLLL6MoCm3btmX58uVERUURFBRE8+bNad68+aO7GeKh8XJUMClgUXXsjPf39F3XdXSglEvh9y9cuJCvvvoKT09PGjduTP369enSpQs7d+6kefPmtG3blqeffpoJEyYUDcD37NlDjRo1qF7Gl2+2fMPe7T9isrOjWEkfPP19qdqyye/2IU9XcVdMFLtD/QeA4ooZewwU6Br2v1OI8lb4kJOegXMxd9ISkzi0fhOqrjLpw4l4FOi4ubmRlZWFxWIhOzubQ4cOcfDgQWJiYli+fDmnT5+mZ8+edO/enY0bN/Ltt99SqlQpAgMDCQ4Oxs3NjeLFi/Pee+9RqVKl+7rnQgghhBBPKlmCIcRDYFAU+lQz42AE6y/mi9+alu1SqwOKyZ60bXOxZqbw/+zdd3iUxf738fe9Lb33BoFQQzH0Kr1KRwREgYAgKEqRg4AUaRZAioiiFCV0KQpIb5FQAiGB0ENNAikkIaQnm+zuPc8fgSiK6PE5qOd35sXFdZFw7+7M7Cab+WTmO0UX96IryqRJk8bY2tqSnJxMSkoKycnJnDhxAp1OR2ZmJrt27eLcuXO8/fbbbN68md69e5ORkcHhw4dRFAWtVsuCBQsYMGAAOp3MHP+XWOsUmvtrySz68/eRZYTKLho8bTVcvnyZ/fv3s2LFCvbt28f06dNxdXWlY8eOGI1GTp8+jcVi4cyZM9y/f5/Y2Fjee+89jh07xpkzZ9Bk53N4zmKsPd14d+c63AL8/lAb8jBTT+uI5je2MOgUhbpaR3J5vFCF+rDmwqP6FNdOnGZO+xf58rXRbJg8C5/KQYT07IytlTVKWhY2NjY0adKELVu2MHfuXAYNGoSPjw9Dhw5l7dq1fP311wQHB9OtWzfmz5/P22+/DcCECRPo3LkzBw4coFWrVmg0GmrUqPFYIU5JkiRJkiRJBhCS9Jdp4K2nmV9pMb2SX9SiE6qKztETq0pNMKXfJOfIV6jZyTQIqUVOdjaqqpbtLff39+ell15i+vTp3Lx5ExcXF+zt7RFCYDCUngLQq1cvjh8/Xnb//v6Pnyog/e9o5KPFLP58odECM7QKKH2rOH36NDY2NoSEhACUFVV0dHSkSZMmREVFkZmZSV5eHuHh4UBpIUonJydu3bqFk5MT+48fpfn419H+we0/+cKMLVoqa22fel01nV3p15ZQywKHRyseNBoNxvwCdn7yOa1fe4UxG1dw5ehJwldvxLFKBWoEBrF//34A8vLycHFx4fLly7i7uxMaGkpUVBTOzs5MmzYNgJEjR3Lq1Cni4+P55JNPGD58OGPGjCEqKkqedCFJkiRJkvQUMoCQpL+IrV7h45Y2NPZVUBQwmkuDCFWAUDRYhILWxR90VihaHe5OdtyKPUlxcTGenp5UqlQJV1dXbt++TZ8+fXj77bepUKECw4cPp6SkhN27d2NtbQ3A7NmzmTlz5t/cY+mfwMtOQ30vLcn5fzyESIuP48wPYcSnZFDOQaGqa+lE/vz587Rv3x4ovS+tVls22e/RowfZ2dkcP36c7t27U6dOHerVq8eXX37Jhx9+yOTJk9FqtQRqbGiqdSaDEszi6eUj84QZE4LuBk+slaevJnBQdLTVufEAE5aHCyUOrVjDjFbduHcrnvSEO1jb2+JXrQqL+g2j5aB+RO09SJ3yQVRwduf48ePk5uai1+uJj4/n66+/ZvXq1Rw4cIBJkyYRHR2N2Wxm48aN+Pn50aRJE3bv3g1Aly5d6NSp0x8aW0mSJEmSpP9lMoCQpL+Qp62Gz9vbMvI5PYFOoNWASZRuyyhKOIeaeoU6obOxszFQNdCPgoICjEYjjRs3JiEhASsrKyZNmsTcuXNRVZVRo0YRFhbGmDFjsLOzY+LEiX93F6V/oL7VdFR0Vn43hEi9eYmvx/Vi/dRBJN66SX7iRfoHmXhUPqJq1aqsWrWq7PpH4UNubi5eXl40btyYvXv3kpmZSVhYGOvWrePQoUM0bty47DaKotBI50QrnSvZmMkQxRT/LIgQQpArzKSrJWhReMngjbfmt1dLPDpKEyBYa0dbnRtZwsRXYyZxOfw4/WZPwTuoAgiBxWTm/p0krp04TezxSBJPnsHl0h3CjxzhypUr3Lx5k7Zt22Jvb09xcXHZKohGjRpx7949AgICmDNnDgBLliyRxSUlSZIkSZL+TXJDuCT9xVytFd5tZMWw5wycTDJx6b6K0QK6cr58f8SKXXMGU2/3Ij766CMaNmxIXl4eO3fuxNPTk4kTJxIXF8fHH39MREQEnTt35ttvv6VTp044ODiUPYY87k/6OSutwvDaBjZcMXE+Q8VOL3Cx5lc1FU5v/xqv4Ma0nzkBfwcNQ2tqcbPVYTKZ0Ov1vPnmm8yZM4fDhw/Ttm3bstfZ8ePHMZvN9OzZk5KSEqytrXF0dMTJyemJ7VEUhbo6R6pobbluKSTGnEuuKEGh9EhNX40V9bSOlNfYoHvKa/lRAVdFUcjMzKSgoIDnypUj//Ydll+M4/XDm1GAB2oJjjUro3Nx4uTufbj4eTP0lVeZtDccD1dXFi5cyPjx47l+/TqBgYH4+fnh7OyMj48PTk5O9OjRA6PRyJQpU6hbt27pmMoTZCRJkiRJkv5typ/dF/xXql+/vvj5GfOS9H9RWloaM2fOpGXLlty4cYOEhASWL1+ORqNh8eLFnD9/ng4dOnDu3DkuXrzIpEmT5GkW0r/FogpuZKn8eNdC3AMVIUCrKX0PSL1+nvDFbzN6+QE6V3GgqgvYGn7KqIuKijAajRw4cIBvv/2WihUr8uabb/LZZ59x+PBhPvzwQ7p27fqn2qUKQQkqZgQGNBiecpLFo9DhkaSkJJYtW8bWrVvx8/Nj4cKFBAcH07x5cxZ89Tm2taqSWVyAxmAg/epNLu4+wNIP5xEQEEBISAj+/v506tQJFxcXFi5cSM2aNfnmm284f/48VlZWFBYWsmvXLtq0aYO7u/uf6p8kSZIkSdL/ZYqixAgh6v+Ra+UWDEn6h/D09KRixYocPnyY1NRUmjZtikajoaCgABsbG2rXrs2SJUuoU6cOe/fuleGD9G/TahSquWkZGWJgSmMDL1fX06mCjo6BOvrW9aacizXDqpqo46XD1qArPYJTCFavXk3NmjWZO3cu/fr1Y9asWWg0GoYPH45er+fIkSN/OnyA0pUY1ooWe0X3m+HDo4KXPw8fzp07R69evdBoNFy7do3GjRuzYcMGrl27Rt++fVm99Evq6RzpYOdDwZ7jdA6owujQYbz44otEREQwbdo0IiIiGDp0KN7e3gwePJjLly9z/fp1Lly4AICtrS19+/aV4YMkSZIkSdJ/gFwBIUn/ICkpKYwaNYpLly7x2Wef8eDBAz7//HPq1q3L3LlzsbV9+kkAkvRnpaWlMWvWLFq0aEG/fv2wWCxoNBoURWHJkiV06tSJKlWqlF1fdtKE5tnl2FevXuXUqVN069atLADYu3cviqLQuHFjtFotPXr0oE6dOixYsIArV66wdOlS2rRpQ8uWLWnZsiUdOnQgJiYGVVVZtWoVlSpVomXLlphMJnJycggNDSUzM5OUlBRefvllgoKCOHnyJMOGDXtm/ZIkSZIkSfq/5N9ZASFrQEjSP4ivry/ffPMNS5YsYc2aNeTk5DBr1izatm37dzdN+j/O09OTChUqcOTIEbp161YWduXk5ODh4UFgYOBjocOzDB4uXrzI5MmTSUpK4oUXXiA2NpbAwECmT59OQkIC1apVY968eaxfv57Ro0cTFhaG0WgkODiYwMBAoqOjadOmDVFRURw7dowePXrQunXrsvuvV68et27dIioqCgCz2cy2bdvw8vIiODiY4ODgZ9Y3SZIkSZKk/2UygJCkfxhnZ2emT59Ofn4+9vb2f3dzpP8RiqIwYMAApkyZQmhoKO+99x5Xrlzhiy++ICQkhO7du2MwGP6StqxcuZKmTZvy3nvvlX0uNjaWBw8ecPLkSQCGDRvG9u3badasGe7u7mzatInQ0FBatmzJF198wa1bt2jQoAGdO3f+1f37+/tTqVIloHRrh06no1+/fn9J3yRJkiRJkv6XyQBCkv6hZPgg/dV8fX1ZtGgRS5YsYd68eeTk5DBz5sy/dAXOuXPnOHXqFOHh4UBpQKDVarl79y7ly5cnOTkZPz8/unXrxrfffsvAgQNp2rQpa9asITQ0lEaNGlG1alWcnZ1/8zEcHBywt7dHCIFWq/2ruiZJkiRJkvQ/TwYQkiRJUpm/ewWOh4cHBoOBgoICbG1ty4pOuri4YGVlxdWrV/Hz86Nz585MmzYNi8VC69atsba2xmQyodPpnho+AIwcOfI/elStUVjIFxYEoEfBQdGhlUfhSpIkSZIk/YoMICRJkqRf+btW4Oj1emrXrs2RI0fo168fqqqi0Who3rw5+/bt4+OPPyYhIYEffviBTp064eDggJOTE4GBgX/4Mf4T4UOWauKyJZ/ragF5woICKIAANCh4aQw8p3GggtYG/VOOFZUkSZIkSfpfIgMISZIk6R/jt4phFhQUUKlSJUJCQoiIiKBTp0688cYbf3n7CoWFY+YsrloK0AAO6HBH/1ioYRGCB6qJPZYMrM1a2uhcqay1/Y+uupAkSZIkSfpvJI/hlCRJkv52j96LFEUhJSWFKVOmUFBQUFYM89FxtLMXzCdXKyhGoAVsFS2eigHNXzC5T1GL+aEknWJUXNH/6jGFEJgRqJSuhtChUIIgW5jw1hiorXUARUEnwAIUCDMFWFBQsENLea0NHopeBhWSJEmSJP1X+XeO4ZQBhCRJ/xNUIcgphhKLQKdRcLICneafPdFThSBVLSZLNVOiCuy1Gvy01tgp/+zCiSahkiZKKBIqGsBG0eL9hJDAqFo4Y8nlR1MmmcKMGYFBUais2NKgUMvupSu5du0aOTk5DB77Fk6tGhBnKSjd56CUTvJVwEnRUU/rSGWtLTbPaGySVSPbStKwQfur8TcJlUzVRCrFlIhH8YN4GCxoKBQWChQVOzQ4oCMbM0ZUrNHgpRhw1OhQAYHAU7GivtaRIK2trCMhSZIkSdJ/BRlASJL0X0cIQWqB4NJ9CznFoNdAOQeFYHct1rrSiVheicBoFui1CkUmlTP3VO7kCSwquFhBQx8tlV00aH8WLBSaBBcyLBy+Y+F+oUB5uFHfTg+ty+mo663F2UpBCPFv/+ZZCIEQAo3m13v8H9Uu+KW0ApXDiWYyCgU6DQQ5a2lVToO17qdrS4TKOWMeOwsfcNtspFhRURAgFFw0eppbOdHJzglvrfW/1d4/6+dj87RxyhNmrpjziTblYFJ+dhvAES31dE5U1dpihYa9JRnsNz+gCAsGoWCNBoXSlQGFWFAV8FYMdC+xJ9NOz1VLAXoUHPl1gcciYSEPC9Zo6G7wwFfz58clJSWFH3/8kQEDBpR9Ll+YWVucgh4Ntj8LH8TDgChJFCMQGNCge9i2EqGSIUowI9A8DCKKUNGi4Kro0QsFkyIwIbBVtFTV2mEQCgWUFrSspLWlo94dq5/VjxBCEBUVRYMGDX712vrl8/LzFSWSJEmSJEnPkgwgJEn6r3InV+X7GyZu56hoUNBrQQgwWUCvhSBnhWIzxOcKTBbBzWwVkwX8HTT4O5RebzRDsQUcDdC3qo6aHjoSclRWXCihwAROVuBg+GkyVmQWPCgCY/Y96im3GdarzW+270lhws8/9+ioSFVVAZ4YPNzJVVkSU8ypVBWLEChAaaag4KCH7kE6Xn9OT4lW5bOsFGLMeaiUnqqgEw8n8gqUCIGqqDigZ5SDNw1tnP6/xv63ghL4dcDyaJKbkZGBo6MjVlZWZdemqsXseLg9wQkdBkXz2H0bhYUcLDgrOsyqSpQlBwd0pRPsJ8yRhYBcYSIfC+UVa6pq7X93m0WBsFCEhd4GL/z/zRCipKQEvV7Pjh072LRpE+PGjaNcuXJ4e3uzy5RBgmrETdE/NjYJliJSLEXYax/fjvEofNCgoEVBRZCPBeVhSOGpWD0WLBiFSmFyGi6JGdRu0QyzycQDnUqAxpruek/0ioawsDCmTJlC1apVCQkJ4bXXXiM4OPiJz9GTQrE/E7BJkiRJkiT9Ef9OACFLc0uS9Le6lmlhcUwJaQUCf3sFPwcFT1sFLzsFH3uFO7kWVl8yc/iOGUe9SkKuAAE2OkFKvsrVTBW9RsHDVsHfQUGrgeUXTOy8aeKzcyVoFfB3UB4LHwCsteDnoODu4siUye+y8vsjjB49mhs3bpRd88vJ3KOAAUpDhpSUFCZOnMjAgQMxGo1oNJqya0+cOMGcOXM4efIk1x5YeH1/EZEpKi7WAh87Dd52GrztNfjYKWgVwbqrZkYfLWJBZjJnzLnohIKt0KIXGpSHfzQPVwrYCC35mPk0L5VzxtzfHNtfBsypqamcOXMGk8n0WD8A1q1bR3h4+K9ur9FoSE1NZdasWURHR5OamkqHDh3IyMgo2yJytPg+nxYlcNdipFBYuJucxBfDx7B2/DQyEu6WjreixUsxcNWczyHLAxzRYqV5cvgAlK5UURRKUEkQRnKF+Tf7+YidosUWLTtL0v/Q9UIIVq5cCYDBYKCwsJAbN25gb2/PmDFjWLZsGfdECbfUIlx/UbP5nlrCPUpweBg+ZF67BYCKIFOYysIHgGJUBAKBggXIEeay5+Z+3C2Ojp3JxnYvM7djXwQCnV6PBwbuqEYizdkUFxcTHR3N1q1bOXz4MI6OjsyfP5+srCwURUGj0XDv3j2mTJnC1q1bgdKinZ999lnZxzJ8kCRJkiTpn0AGEJIk/W0yClVWXjThZAWuNsrjkyQBF+9byCwCHztBvklw+G7p6gE7g4KVToOjlUKhWRB9z4L5YTZgp1fwsFFYEF2CRRU4Wj0+8XoUIiiKgqqqONnboVFNjB7SDzdvf/z9/R9bvq4oClevXmXUqFHs2bOH1NRUAOLi4ujTpw9OTk7MmjULa2trVFUlPT2doUOHMm3aNDw9PZn83lRCPztIkUnFy05B/4TVBjZ6Dd52gkvkEFWSh0Fo0D3l27OCgrXQYMTCl7lpFArLk697OJ5GoxGATZs28cknn5Cenl46xELwww8/MGnSJE6cOIGfn99jYySEYPr06bRq1Yq8vDxWrlzJ0qVLKVe+PNujT7C6OJlvi1PZZs4gT1i4e+kqF8/FsnfNBkTlAPKsdez4dBn3bt4GSlcGpIhidCjko/6yuY8/TwjyhRlbdFgQpbUf/gBbRYsZwSVz/m9eI4SguLgYgOzsbPLy8ti8eTNeXl68//77fPvtt1y7do2GDRtywZKHntLXgRACVS19DSYJI9YqnPpkOd807cWZpWEcGDeTvGIjKqIsfFAp3WahRUEDmBEYUUk8fZZt/UexsfMg7H29GBX3I/4tGvL9p1+SdOUam6d/TMKOw5y35KMadBw4cAAnJycsFguhoaHY2Niwdu1aVFVlxYoVdO7cGUVRaNiwIV999RWtWrUiLS2NrVu38umnn5Kf/9vjIUmSJEmS9Fd5ZgGEoigBiqKEK4pyZq6ObwAAIABJREFUVVGUy4qijHn4+RmKoiQrihL78O8Lz6oNkiT9s51MsaCK0tDgl7KLBffyBY5WoCgadAo8KALDL75r2ekV8koEqfk/TWjzTGBWBQ+Kfr3F7NFv/G/FHCXxQiQWs4lWr4zBYOdI1Xb9iYiIKJu4FxYWsmDBAl599VWqV6/Onj176NSpE/Hx8dy8eRNnZ2fGjh2LyWRi//79CCFwcXHh1VdfZf/+/bi5uRFzLpbbEVswZN1+6lgoGrD3z8NkUVDE739rVlAwCA33KSG2KJ/c3FxKSkoeu6aoqIgvv/ySBQsWIIQgNDSUkpISoqKi2LZtG4qi8N1333H48GGmT59OpUqVEEKQk5MDwMGDBzl37hze3t4kJCRw5MgRPv/iC4r93LnhYgBKC0xmXrnBqX99yJ7Qdzj53nzun71Mi3dGUG3oS+TZGTi8ey8qgruqEQsCKxSKsGB5yhbAQvEwKAIMKGRiolB9ctDyS07oiLXkYhKPhxzFxcWYzaUrI6ysrLh79y4xMTEMGzaMHTt24O/vT+/evalevToFBQWsXbeO65ZC7NXS5+PRaoO76fe4d/4yBSlpmEtKGLBvLXVfH8DlTTu5uHV3WfgApYHDo+dLQUGoKidHTuPIxI+wcXWm+ktdqNq9A0IIag3py44Z8/lq+Fis7GzZvfALDi3+ipuWQjp27Mi6devQarX4+voSEBDApk2bMJvN5Ofn06tXL2bMmIGLiws+Pj7s2rWLUaNGkZiYyObNm4mMjPxDYydJkiRJkvQs6X7/kj/NDIwXQpxVFMUBiFEU5eDD/1skhPjkGT62JEn/cEVmwfEkC+42T/7/O3kCrQYerdHPLQGNUlqI0sX68cDCRgfxOQL/0lMOSchRcdBDSr5KZRcFG/1PE/pbMUeJ2bOBtPg4LOYSWr06jnovvMKFH39g4Sef0DLQmvDwcMxmMy+99BKdOnXitddeo2/fvkRGRqLVaomPj6dLly7MnTuXdu3acfPmTXJycujYsSM7d+6kWbNmvPnmm6iqSu3Rq7i5/2ty71zBwa/yb46Hxb4IYWtGWKAQcDD8/hhqUbCYzXy2/wec9h9n+vTp+Pr6smfPHmrVqkVAQADW1tbcuXOHO3fuUL58eZo0acL69et58OABt2/fZtCgQSxdupSkpCTS09N5++23URQFa2tr9Ho9H3/8Mdu2bWPHjh08yMoiJyeHE1u2E9K5LQYVTp+J4tT8z7F1cmJ4zB5u7D7M0fcXggIe5fzwCa5KwskznEm4Qb6fG7pHE3EEhcKCg/L425AQgvSL17ibmox/++YP+6mhGAuJahHVNfa/Oy56RUOJaiJRNVJJa8utW7fIzs5m+vTprF27Fr1ez5QpU1i1ahUBAQGkp6fj7e2NTqdj3bp1rF27lkGDBnHkyBF8Is/QoEkTADISk0g4d4GdX6/huZGvEBd+mrTYyxx69wMy427R9P2x+L3c9WE5zVLFqI8l/VqNhqrjh+JXuSKeGiuOvr+QmK/WUf+tUGr36UrEe/NoNWIwbQf1x8XHi8vHIzlryaVHjx4sXLiQc+fOMXnyZJKTk3F3d+fo0aNs376dU6dOsXnzZipWrAjAsWPHOHXqFG+99RanT5/m+PHjNGrUCEdHx99/YUmSJEmSJD0jz2wFhBAiVQhx9uG/84CrgN+zejxJkv67pBUILAL02ifvTU8rULF5ODcVQlBoLl39UGj69bUGrUKRWWA0AwIeFKlYa1QURSHf9NP9p9y4yPZP3sHR3Zu3vz5K836juBlzlPt3b9EudALXju8iLGwNGzdupFatWlSvXp0aNWowZcoUzp49y8GDBxk7dixLlixh+vTpjBw5ko4dOxIZGclHH31EVFQUMTEx5Obmcvr0aeZ+tgKqdaAkI5HUqF0U3Iv/zfFQrc0oWoGiKpRYfr84sGo2c2PNt2QeO40IKk9OQT47d+6ke/fufPDBB7z88suEhYXRsmVLHB0dGTVqFGPHjqV///5ERkbi4uLCxYsXad26NQ4ODowZM4YZM2Zga2vLsmXLuHDhAjdu3KBq1arcu3ePjz+ZT0CjOugMevIzMjm2fgsarRZ9kD/etYMpzs0DoHKXtmitrLi6bQ8anQ7PmlXQmFXO7TpAHmb0DyfnGkrrO/yc2ViMoiiUFBaClf6xibwG/lBdh0cUFCJOnGDAgAH07t2bsWPH0rp1axISEpg/fz4bNmygsLCQnTt3snTpUpKTk3F0dOTAgQNERkYSHBxMYWEhm996j2+nfQjA4RVhhI2bSs0RA6jSoSVVenTg9sHjVGz/PIN+3EytEQMwZjwgLyEJKD39Qzxsy8/b5VC5fNnKCLdqQeQlp7HrtQkoCjSbPZ7d85cSuWUH332wEK2iYe3UDwisUAF/f3/mzp1Lo0aNmDhxIsnJydy9e5fQ0FBOnz6Np6cn7du3p02bNkRERDBixAheeeUV3N3d2bZtG6dPn/7D4ydJkiRJkvQs/CU1IBRFCQTqAI9++nlLUZQLiqJ8rSiKy2/c5nVFUaIVRYnOyMj4K5opSdJfyKT+Zv1BEGARpSseHn4IlK5ueFrlgFsxR1FF6YUarQ6LsYBjX88maudqHqQk4Fu5FuVqNCAzuTQICG7+AmajkbB3+2Jt74RvjUb4+PmXFfSbOHEiH374IZcuXaJBgwaEhoayZs0aduzYQVhYGBERESxcuJB169YRFhZGcHAwERERCCGoUKECkyaMJ2H9ZOy8K+LbuAc27v6/2XahtZT2VFF42uFEefGJnJuzAI1OR7luHfFu0QQrL08aNm3Ctm3baNasGSdOnGDKlCksX76c06dPU7NmTUwmE2FhYZjNZuzs7HBwcOD+/ftMmDCB3r17k5OTQ0JCAtnZ2QghGDhwIIWFhZw+fZq8vDy2HDsMNlbYOjlisLEmdu9hkq5eR+/sSPmWjbHzcichvHSZf93XB3BmaRgArpUDqfVqT2q/2BUzgkebKBR+ei4vrP2OTd2GcvT9heSlpOHXuA4lD3JI3HWkdGxUFYWftjM8jRCC1Ju3uRF+gnG9+uHh4cG7777L/fv3Wbx4MQ0bNiQvLw8rKyvs7Oz49ttvGTBgAAaDgYyMDF5//XXWr1/P7du3Ca7zHCXFxdy/m0JGwl16ThqLwdYag7MjiqLgUrEcFdo0JePSNQozHnBt616OD51ExtlLj1rzm+18tP0koHkDXILK8+D6be6eiEY1mSgxFhO+aj0OHm6c3PQ9Py5ZxZIlSxgyZAgHDx5kxYoVDBs2jPv37/P666/z4MEDateuTefOndm8eTPLli2jWbNmrF27lq+++oqzZ8/Sv39/qlev/rvjJ0mSJEmS9Cw98wBCURR7YBswVgiRCywDgoAQIBVY8KTbCSGWCyHqCyHqe3h4POtmSpL0FzNonzI9U0CnKQ0hHn5YOmEV8OQFE4KSgmx2fPQ68eciUICkE98RNaUVCAsarY41E/ujqioNug+muDCftPhrXDjyHTdiwkmLv8qepVNw8atErVrPUalSJV544QUCAwPZsWMH9vb2uLm5Ub16dYqLi6lWrRoVKlRgwoQJeHh4cPz4cbZu3cro0aOJi4sjMTGRxYsXU1KYh97Rg3rjvsa3UVc0Ov2TGl/aR4v2YfggeNqBBWZjMVmXr3HvWCQGZyfOTp7DxUVf8PLLL2NlZYVGo+HGjRvMmjWLGzduMHPmTDIzMwkKCsJsNhMSEkL//v3p06cPGRkZfPnll4SHh+Pn54cQgoCAAEaMGMGsWbMoKipix44dvP/xh9zITIcCI9Wfb0LHUcMIql+HvUuWk7g/Ap8mdXHw8+bOsdKM+bnBfTAXGXlwIx6twYB/k3rYe7ihAEYspaeLUPoGFDH7U65u3c3z00aTm5zKsTlL0KBQmJJO1HvzS8dGo0FA2eqJpzEVFxO9Yy8nvt7AK2NGERERwYIFC5gxYwb+/v7Y2toSGRlJzZo1qVGjBmvWrMFisTBz5ky0Wi1ubm5lRTu9fX3oNmMC7gF+bJw6h4LsHBr26sL1TT+UFSptO+89LCYz2weN5cbW3QSPGUzF3p1+eiH/Bu3DJ9kpwBe9rTV+jesSPnU+V9Z+z/NDX+bW2fPodDpaDe5PhcZ1OX3qFOvXr6djx46YzWY6d+7M3r17qV27NuvWrSMuLo5z586RlpbGm2++ycyZM2ncuDGRkZHMmDGDqVOn4u//2wGYJEmSJEnSX+GZBhCKougpDR/WCyG+AxBCpAkhLEIIFVgBNHyWbZAk6Z/J107BWgtG85NjCD97DUUPt1soioKdvnTVxM8LVgpL6e/Tiy3g5uJCsxdHEPndCjxtFfT+Nak/cx/127/ItcgDpFw/z/mDW/CrWgehqkRu/RJ7Vy+GfboT38q1uXXuOJf2fM1HH8ykc+fO7Nq1i+XLl3P//n1UVeXKlSv4+PjwyiuvoNFosLe3JzAwkAkTJqDVaqlcuTJdu3YlKyuL69evU6FCBcK+XkHzV8eTr/5+QQddoRXCpIBWYK37qY+q5fHCiw7lA/Bt05zEnftAASsfLxK+3Y69zoCtrS15eXls3LiRdu3aMXnyZHx9fUlMTKRZs2a8+OKL5OXlsWjRIkJDQ3FycsLe3p6tW7eyYcMGatWqhZ2dXdlxm61bt2bLli0cvxVHz7lTaD9iMNb2duRlPqAoL5/YvYc49t48slPT8AiuQnb8XVKiLwAQeuI7XCtXKGt3aTFJDcaiIkoKC1EBazSYCoqo1qsTfg1DCAnti7VzaY2CWm8ORDWZSX64qsIiBC6aXwc4QgguHDrKDwu/KB0vs5l7N+PJuptMzOEfSUpKol69ekybNo3z58/TokULoqOjadCgAa6urmRnZ/P111/z5ptvkpOTw/fff8+NGzcICgoiwMePkD5d6TJuJJUb1uPgl6vpMnYkSeGRZKWVrsxzrRRI6zkT6BG2iJ6bPse3XbPH+qyh9CSMsvY+/LdeQNTS1XzTtBfJp8+haBTuxV7GtXoQjs5OrEq/xogVi2k8bADZiclcvHiRzZs3079/f5o3b86YMWMIDAzE19eXe/fuYW1tzTfffMOAAQOIj4/HYDAwc+ZMVq9eTUhIyO++/iRJkiRJkv4Kz/IUDAVYBVwVQiz82ed9fnZZL+DSL28rSdL/fXqtQssALZlFT/7/AAcFFcp+0+xgKF0xYacv/VgIgaLVAqW1Hyo4KdTp3J/0hGvYZsaBe2X0d8/w/Udv0Lj3MLqPX8DWD99k9YSXEKqF6D3ruHjkO7bPfwezyYTFZKI4L4tVK1dy6dIlMjIyuHv3LiaTiWvXrlGnTh08PT3Zu3cvBoOBESNGoNPp6N+/P/Hx8ezZswedTseCBQt45ZVXgNLgpF9VPUVmhactxwdQCq2gwICiFVhRWutAqCoarRaAnGs3sRSXoLWxxrNpQwpT07h/+Srl+3TDmJFJxYoVKSoqIiYmhu+//56YmBg2b95Mr169uH79OkuXLqVGjRpUqVIFk8lEYWEhLVu25PPPP8doNLJp0yZef/11Lly4gMFgYNSoUaxcuZI33niDYm9nbBQdVZs14viGbZzc9D0BtarxeUIsDXt14cSMRZgKi2g8/nV869cGKGv3I/lpGVz61zwiOr5G1HufcHfnYWwULfY+ntzYfZi9b01jc+/XKUi7z9kVG3BQtFQfPYizs5diQUUjIECxfuw+LWYziqJgY2/H4eVruBkVw49hm8jNykaraLkUfZbBgwezZcsW0tLSqFmzJn379kWr1XLs2DFKSkrw9PRk7ty5VKlShS5durB9+3bKlSvHiBEjiIk8hQ4FKycHvIICybufiYO7Gx7l/Dn31frH2mLn6YZB0aBHwfKz59qA5rFnXgW0wIWPvuLusSi6rpxHvx2rCO7XjTpvhWLJyObyoQjSbieweux7zG/7IlaKhnfffRdvb2/27t1LQEAAH3zwAW3btqVFixZ06dKF999/HysrK95++23mzJmDjY1N2YkvkiRJkiRJ/xTP8qeTZsBAoM0vjtycpyjKRUVRLgCtgXHPsA2SJP2DNfbVYaeHLOOvJ+f2eoUKThpyS0BVVbLvxFF8aCH3Lp0CSif392L2cXR6Nx4c/BzznfM4efhSuUFrojd/iq0eilKuE/x8F2J2rychNpKSokJ8gmqQl5WBqdhIQmwkNk4udBy3kKote2LQ6Vi8eDEODg54enry1ltvMXXqVEwmE05OTiQlJZXtp4+OjiY5ORknJydmzZpFuXLlAAgICHisHx0qaAl0UkgvgKfWBDCr5MRpuDxmEmfn/LT14N6xSI68PJzIcVO48MlSkvYfwbVGNRwrV+T6NxsJcHKlfr16CCHYsWMHISEhGAwG7ty5g6OjY1nxwZiYGHbt2sWZM2do27YtDRs2pKCggO7du1OvXj0++eQTxo0bR1JSEvb29sTGxmJvb8/EiRMR5X2wQYuiKDQf8CLjNq9i2Oelbewx9g1aTXiDoL5d8KxZ9Vf9Kki7j2o2c3jih9ja2tJs21KcGtYiceMP5N5JptGYoVTv04W85HuMTYqi7ohXuLU/gnuHIwl+41Vyb98lNeYSPhprrBQNQghUtbR6hFan4/6dJI6t30Lm3WRmt+/D0dWb6LFgGtMXzEWj0WBtbY21tTV+fn7Ex8ezePFiAgICOHHiBJ07d6Z379507dqVCxcu0LVrV6ZNm0ZSUhJDhgzBaDRyb8t+8rSCtFsJWDuUnsDxxpcLaTB6KOYnFOtwUHSPBRD6h2+z4uEfgJKkNJIOn6DjpzPxCK6MotUS3Kcr9cYP4+aBo9xPTOLIynUkXriCZ+UKRBw9SvPmzSkuLmblypV07twZV1dXVq1axbvvvsu4ceNo3bo1AK6urtjb//5JIZIkSZIkSX+HZ3kKxnEhhCKEqC2ECHn4d48QYqAQotbDz3cXQqQ+qzZIkvTP5mSlMDKkdGlDar7ArP5sQqdAFRcN1hmXOTq7DzeWjyLAuhjj3fNkpKZwcfN8ru9eTt2B0/DQFrHtozcQQlDthdeIjz2BT8RMlOJ8MtLukXAhkvjY41Rp3I4SYyG1WnXHycOHnIxkEmIjid61jk6NqqOqFgwGAz179sTPz4+wsDD279/Phg0beOWVV7CxseHAgQP07NmTK1eukJWVBUC/fv2oWbPmE/tordOwsLU1PvYKKfmCItPjZTRVoZJdrJJepKGjuzf5J86Qfvw06VeuIhDcP3eRmmNH0m7LNxSm3OPykhXEfrSIxJ17Sd1ziAYXb/PlsmWYzWbef/99atSowejRo6lbty5HjhwhMTGR2rVr06hRIxISEjh16hTvvfceRqOR6OhoMjMzGTp0KG5ubqSkpNCmTRuWLVtGtWrVCAsLQwhBQYkRLVBSZOTupau4+vuiqiqqqmLv4kyj4NpoFYVi8VPfkk+fY/vAMWx9aSSKRsNzQ/rSeva/cPPwwK1JHWwcHSnOyQfAztMdr9rVsXK0x69hCDauzqTFXsFR0RLQpwMpPxwhsFiDUFWEEGW/2T+5eTvjazbn9LZd+AdXxdHDjftJyeyfsYj63uVo0aIFGzZsoGfPnmRmZpKfn4+iKGzatInvvvuOf/3rX0yfPp3JkyczcuRIPv30U4KCgli8eDH29vb06dOHhSPHsvP9eRzbsJXqzzcGwD3Aj2qunhhRUX8RQtgoWnQoZQUzzfmFWKHBLFQsgMZswc7GDr21NRZT6R6j+1dvkldShJezC/W7dcRYUED0D/tw9POmnLcvc2bMZPz48QQFBfHqq6/SqVMnNBoNt27dwmw2U6NGDYYOHVr6ZfO0AiKSJEmSJEl/M93vXyJJkvTs+DtoeKeBFQcTzUSlWlCFQJQeBoEAso+vp1ubpnQdPokz91Tyioq5Z9RjaD2AoFoNOfvVGLKSbmExGfkhbCl3j20lPy2B7Wu+pH6jpgi9Gzp7d4yFBTTpM4KrEbvwrlQLGydPctJTaPrKvzi5ehZH7l+hbt26JCYm4ubmxrx581i6dCk9e/bk+eefJz09ncDAQPbu3cvSpUtZsWIFLi5PPMTnV3zsNazoaE3YpRJ237Zwr0CgIMi5fJTMmF3Uf2k0Y1tWoo71PR70609s9n3i12/F/qPJBA4fQOaPkezvPgCHKkFkXYnD4OXG4LMRHGjRlc/en83LJ0/y6quvsn//fo4fP45Go+G7774jPDycpKQk3nnnHfr27UvLli356quv2LZtG0VFRVy7do22bdsyefJk6tWrh42NDZ9++imqqmI0Glm2bBlDhgzBYDBgUVWcPN0J6dQWexfnx5b3WykagjV2xKmFFAgLEe/MIX7fj7SYNoaaA3oihMCreX0KUfFQ9JRz8uHstZvo/L0QArJuJ2IuLiHtQhxetashVBVbL3fSr97Eq3YwPvZO/LhkBS++9w5n9xwk//4D4o6fIvHiFRzcXbF1cqL8czWJ/mEvAC/UbUjlgPKMHj2azp07ExcXx/3792nSpAnr16/n1q1b1K5dm+TkZPz8/Dh48CAWi4Xw8HCioqJo164d77zzDsOHD+fKlSvUadWGrjPfxUMpreWhKApuioFAIUgURVgJDbqHE38FcFcMXI6M4uryjbjXrEq1twciio1Ej52Drbsb9V/uiWvlQK5u3kVixGkKc3Kp0LIxdZ8LYeSqJaRcv8nytyYSfyqGtiH1qVevHv369UNVVVatWsWdO3dYvHgxXl5e/9GvRUmSJEmSpGdNBhCSJP3t3GwU+lfT07WijhtZKoUmgU6rkH4jllPxp/jy63BsbQ28VFVgVq24mxjPmdgr/OvD8djbOvBJZArHt37Fd8vnUbVKZUZ+8AFr166lY7vWrF27lurlgsj28eLW9WtYbFy5duUStVp0JuPWBSpaEnhh9mxiYmJo1KgRu3btYvHixezbt4+EhAS2bNnC9u3badWqFS+88ALly5cH+MPhwyPO1hrG1LdmRIjK6VSVzCLBhRKY9fFXVAq2plXfmdy4kc7hgweZMm0a67dtocq1VGLuxnNrw3dUfXs4Vvb23D92muzjUZzs+BJOtnbk5OTQp08fgoODuXDhAlWqVOHSpUuEhYWxZs0aevTogbOzM56ennTo0IF169bRpk0bmjdvzsWLF0lLS8PR0ZERI0YwcODAn7Y3aLXcvHmT7du34/ZCIwrUEuy1Wl6c9q8n9s9a0VJLY0+WMHGtRhWybt+h4svdKBQW8tMy8PX2wUdjVbpKIuYc9apUx8vVlTRRgmurhmTdS2f/v2ZjzMrBsXJ5oldsIH/SHV7q15caHSpxu54zo6s3xpiTi5WtLcJiIaRzOwpycjm//wjOFQPoNPp1otdswZSdR1xcHE2aNKFdu3b4+/vj5eVVFkI0bdqU27dvo9frWbZsGZmZmTg7O5cVG9Xr9Zw8eZI+ffqwceNGioXKuuIUcoUZR+Wnt00frRUGVSFBNVIgLOhQSI2IInLuMoQCXi+0JOiNlxEo+GgdyPjxDDaebpj790BrMHA74jQhbw2metMGHBszi0ORqxH2Nng9V4MaNYKp5uxBhcBAdu/eTa1atZg+fTrVq1cv2+4jSZIkSZL030YGEJIk/WPYGxTqeP1UvPCu2RMrKysKCwuxtbUlPT2d6dOns3PnTtzc3PD1dOPNN99kUB0nYtfeI/N+BvF6HS1atGDkyJEIIbh69SpXr15l+JAhLFiwgA/nzmPdmjBeGzoUj8K+pCYncXD/PgoKCjh27Bjh4eEMHjyYkydPEhoaSkFBAXl5eYwYMQK9/reP0fyjrHUaWgaUrh7oVfkFVk33IyUlhYYNG6LVanFxcSHyxAmCAyuya+Q4rO3sMN9JpCAzm1Y9exBTZMRoNDLz/Rn07NmTOXPmsGHDBoqLiwkPD2fHjh3ExcWxbt06jh8/TnBwMB988AEDBgxg/Pjx7Ny5k8jISI4cOQLAokWLOHHiBFOnTqVcuXJMnTqV/v37ExsbS5cuXcjOziZIY815nYnfqyygVRTcFQODXh/OhC/WcXnSAhJizuPi401e7Rr4Dn0FjYcjiecv0615K0baVCL81hWuBARRdcpY4tvGYM7IYu87M3GysWPi1GmMHz+eDRs28M0H87BWNDQcPpCIlesoyMzCpXoQV1ZtwM3XG6dCEy3cAjheWMTy5cvZt28fZrOZBg0a0LhxYwYPHkxUVBT29vYUFRXh4eHB1KlTOXnyJDVq1CAuLo6goCC6dOlCeHg4tWvXLuuXlaKhp8GLrSX3yBEmnJSfXgduGgMuip5czKSqxRQVF5OVcJd2n88hcfcR/O9mk28x80CnEvxiZ5TCYm5s/AHX5nUxFxdzffkmoqctpFz950i5fosjH37Gjv17Kfbww+BXgRkzZpCamkp6ejp2dnbY2dn9f78GJUmSJEmS/i6yRLYkSf9YBoOBWrVqcejQIaB06XunTp24dOkSWVlZJCYmsnz5cnx8fDh8+DAeHh60b9+effv24eDggLOzM7a2tgQFBXH27Fn8/f0p7+/H+dhYoqOjuXnzJnfu3EFRFMaMGUOvXr1YtGgR6enp7Nq1C4BRo0YxadKk/0j48EuKojB//nxiY2Np0qQJfn5+9O7dm549e1KtWjXS09MJP3SIj+Z8QO79B3y18FOMRiMdOnQgOzubkpIS2rdvj62tLVevXmXYsGGcOXOGKVOmcOnSJa5evYper+f69esMHz6ccuXKsWPHDgICAjh58iQAISEhFBYWcu7cOVauXImtrS2hoaF4eHiUbcGoqrXDwk8nkvyRfrV7fRAZ124xZMEc+r0/geSr1zm6YSvaohIuRkYBEDp4MB+/MZaWd4p437YS37TuS+MMM/n3H3A6MpJx48ZhsVhITEwk+e5dKvj6k7T3KFWDKuHh7cW55Ruo7OlD3SrVuXAmhqWffYbFYsHDwwN/f382btzIkCFDGDJkCHfu3KFhw4YEBwdTr149ypUrR/Xq1UlNTaVdu3Z88MEH7N4z+EDcAAAgAElEQVS9m6VLlz4WPjziptHT1+CNg6IjTRRj/lm9C42i4Kzoqa6156VOXdCaLPhlFRPz5Tq+bPkiN9dvp49zeQxXEnHNKiJp+0Fe0nqyeMoMHsRexcfFjfTIc1T088dBaKjq4klaWhrt2rUDwMvLi+eee+7/89UmSZIkSZL095MBhCRJ/1ienp5UqFCB8PBwCgsL8fT0pFevXri5udG1a1e6dOmC0WikYcOGtGjRAjc3Ny5fvszKlSuJjIwkNjaWuLg42rRpw9GjR+ncuTPffPMNzz//PG3btqVBgwb4+vpy8+ZNJk+ezLx583j++edZtmwZH3744V/Sx6CgIG7fvs3nn39Oo0aNmD17NsXFxbi4uODq6sr06dN57bXXeP/99+nYsSMBAQFkZGSwZs0aVFWlUaNGLFy4EFtbW6pUqcLhw4fx8/OjpKSE3r1789prrzFhwgQOHjzIggULqF27NoMGDWLRokUANGjQAHd3d7Zu3YqzszNTp07l7NmzjBkzpqzOg6diwFexIvfh8aB/RMc3X+Nf36+hQt3a+FatTJWmDUhOSMTuYjyHDx3iu+++o0WLFuzfv79swq8oCsHBwZjNZrp160aPHj1o164dTZs2xcvLC1VVsbG2Zu4HH+Lh6kb8jZtkP8iiUaNGuLq60rdvX65fv86LL75Ix44dWb16NW+//TbvvPMO7u7ulJSUkJCQQHx8POPGjWPDhg20bdsWKN1SExwc/NQ+uWj09Df40EzrTC4W0kUxecL8WBgB8NJHU/ls4EgMttZUblSPBg6eNLbYUb1iJdSCIga98ip3Ll2lgVc5qleuzLuj3mbbxk20a9OW3NxckpKS+OKLL2jevDmAPE5TkiRJkqT/M+RPNZIk/WMpisKAAQMwmUwMHjyYmJgY1q1bR4cOHSgqKmL+/PnExMSwdetWlixZQs+ePTEajXTr1o2NGzcSGhpK7969KV++PAsWLODOnTuEhISwdu1aWrZsib+/Px07dgTAYrGg1+t56aWXyo40/Cv4+Pjg7+/PrFmzmD17NuvWraNChQp4eXlRq1YtKlSoAMCrr77KxYsXad++PZcvX6Zdu3YsWLCAiIgIWrRoQYsWLThz5gx2dnaMGzcOHx8fhg8fTvny5YmOjsbb25vVq1eTlZVFaGgoN27c4MKFC9jb29O+fXtee+017O3tn7jKQVEU2updKUFg+sVk+7coioJW99Muv7TUVPz8/Rj4fHu2b9/OoUOHGDZsWNnk+uLFixQVFTF37lyqV69OVFQUR48epUqVKjz//PMMGjSI9PR0UlNTuXLlChaLBTs7OxITExk2bBiJiYnMmjULNzc3bGxsGDt2LEFBQezfv59PPvkEk8mEwWDg6NGjDBgwAGtra8LDw2nTpk1Ze/8InaLQUO/McCt/2uvc8NJYUYBKhighQ5RwHxNN+nTD1sGexcu/opqDGy3qNmDIkCEEBwczceJEunTpwrlz51BVlYEDB7J+/Xp69+5Ny5YtuXLlCv7+/lhZWf2h9kiSJEmSJP03Uf7oktq/U/369UV0dPTf3QxJkv4mOTk5LFmyhLi4uP/H3n3HVVm+Dxz/PGexRbZ74Z6IC2emIu5Bbi3T3Kk5ytQcmWlarlIzs8xVzjQREfWXWxyoIA7AAbJkyDrss57n9wfBV9ulfa1v9/u/zuvhPPd9Hzh2X891XxeZmZm8/fbbdOzYEQBZlks3sfPnz+ebb76hWbNmvPXWW9y9e5f169fj7e3Nhx9+iI2NzRPvu2HDBuzt7RkxYsRza1+YmprKwoUL2bFjB3l5eZjNZjQ/bNznzZvHxYsXGTJkCIcOHaJOnTqoVCo2btyIjY0N48aNw8XFBZ1Ox6VLl7h+/TpJSUl07tyZWbNmUbNmTYYPH87EiRPx9fWlYcOGjBo1irfeeovJkydTvXp1Zs6c+bvHesucxzFzOs5o0Uq/Hb8uysvn+GdfceHAYezdXJg/+Q0e3IykXbt2tG3bFoDIyEg+++wzwsLC+Prrr3FycmLmzJls2rQJb2/v0toWmZmZvPjii7i4uJCdnc3IkSOpU6cOiqJw5swZNm3ahNFoRKfTkZ6eTr169Thz5kxpMGP58uW888471K1bF51OV7rGz4KiKBhRkFHQIKGVVHz00UdkZWXx+eefk56ejr+/P8HBwezdu5dOnToxefJkKlWqxKJFi0q7cQiCIAiCIPwTSZJ0VVGU5r/rWhGAEAThnyI/P/+JInwlRSZ3795NQEAAVatWZcqUKZw/f56oqCj0ej0zZswoTbP/MUVRnlvg4fExrFy5kq1bt7Jw4UIGDBgAFM9179692Nvbl26kJ06cyPjx47l27RoRERHMmjWLb775hsLCQqpXr06fPn0IDAwkODgYOzs7wsPDWbJkCQsXLqROnTp07doVi8XC8ePHAf7UU/Zb5jy+N2egQcIRza+un8lk4tAXW3FxdSF2ZyC5mVn4+fnh4uLCkCFDyMjI4P333yczM5OgoKDSeb/00kvExMSgVqsxGAy0bNmShIQEcnNzadOmDSNHjqR169YAmM1m3N3dSUxMxNbWtjQgtX79em7cuMHNmzcxmUxMmDCBUaNG/eH5/llFRUVUqFCB9u3bExYWhre3Ny+++CK+vr7Ur1+fkJAQJEkqnYcgCIIgCMI/lQhACILwr6HX69m1axctW7akadOmpa/n5eVhb/9bfRv+Hh4+fMjcuXMpKChg7ty53L59uzRzY9WqVaUFMMPCwpgwYQL79+/Hz8+PjIwMrK2t6datG2+//TYGg4E1a9bQpUsX+vfvz8OHD9m2bRuHDx/GZDIxZswYevbs+dRP29NlI/9nyiBFMaIBbFFjhQpJkrAoCkXIFGABoJHanu9mLcbD1Y133nkHAIPBgJWVFYWFhXzxxRfs27ePoKAg7OzsuH79OkuWLGHSpEl0796dMmXKYDKZ2LFjB507d/7ZoMmKFSvIycnhvffeA2D37t2o1Wr69u1LeHg4LVq0eKr5/llz5swhIiKCc+fOodfrn8sYBEEQBEEQ/moiACEIgvAPk52dXXrM5JcyNxISEhg+fDj79+/HxcWFiIgI1q1bx6FDh/D19WXr1q188sknJCYmsmzZstJjBocPH8bHxwcXF5dnNl5FUUhRjERb8kmQi8hQTACokfBQ6agu2VBHY8f98BtMmDCBkydPYmtrW/rzMTExODk5kZaWxpo1a/D19cXf35/ExMTSoMn9+/fp06cPCxcu/NWgSWFhIRUrVmT27Nls3rwZV1dX1q1bh5eX1zOb759RkmHzxhtv0KVLF3r37v1cxyMIgiAIgvBXEAEIQRCEf6hfy9xITU3lvffeo3379gwZMoS0tDTOnz9P27Zt8fb25tSpU2RlZbFixQomTJjwXy2mKSsKMqDmyYKOjwdNXF1dSU1NZcGCBRw8eBBfX1+2b9/OmjVrfjZo0rJlS9zc3H7X/efOnUtoaCjLli2jWbNmf8EM/7zH65QIgiAIgiD8rxEBCEEQhP9BJfUi7t69y+rVq5/IKHjllVcYPXo0zZs3JzY2lkaNGv3l4yk0K9x8ZOFckoWsIgWjBaw1UKWMivaVNHiWlXiUlvazQZMOHTrg5eXFyZMnf3fQpFCxcNdSwEPZQCEyGqCMpKG22g4PtGKTLwiCIAiC8ByIAIQgCMLfQJ5R4Wa6hbSC4s25gw48y6qpUVZC9SeLXz58+JB58+aRm5vL7NmziYyMZNu2bZQrV441a9bg7Oz8jGdRTFEUCpExo2Awwrl4mZAkGZMMZXTFgQeVBGYZco1gsICTNXSuoubCzjXcu3fvTwdNMmQj4ZZcblnyMCgyJpTS4w0SClaocFVZ0VxdhtpqOzTPubCoIAiCIAjCv4kIQAiC8I9VYFIIT7NwNtFCRpGCooCTtUS7imqaeqhx0EkoikKCXMRpUyZJigELCo5oaa1xpLHagVws3LHkk2I2kZgrk5evxtqgRaeDIx+8hf/g/vTu1BkXSfuHumAUmWVOxJsJirGQWaSgkqCqg4qX6mjxclchUbxRf1QI38eb+T7OQkq+TKEZFKV4g+5iI1G7rIoenhpallejUf3xzfKvtSX9saft9FH0Q9bBNUsO2YoZg1khKlPGVKShYpEdTkZb1MrPZx7kmxTSCxVqqdK4tu1d8vPyfjNocuvWLbKysmjXrh0A9835BJoeUYBMgWxBj7l4nX+4XqK47oSTpMUKFbU1tnTXumH1O9qECoIgCIIgCE9PBCAEQfjHURSF04kWAu+ZMSvgaAU2muINZqEZsg3FG/jmniZiXNNIUIoA0P2w+TVLMkZFQUHBFSuMeRoy8iXMKhnZ2ohJZUSNlrCZ71O2SmW6vTWBRrbWtNKUpZra5jfHtvO2ka23zeQYFXRqCS1mUKkxmCXMClS2h3daW2OlkvngZAr3s2Wsyriiks1Ya4s7RMhIGCwUZw1ooUcNDSMb6bDR/LkAQUlbUkUpzgh4/AjCz732R8VaCggypWNCxh4NalnFxWQLRpOMzlrGolFQyxLls52wNxSv4Y/rHciKQmIuNLDLI/XYp0RHR/9s0KTk544dO4ajoyOtWrUixlzAd6ZU8hWZNMWIBgkrpCcCKoqiYFYUjJKCDgk3lRU1VDb007mj/RsFIWRZBvjNz8NisaBWq/8bQxIEQRAEQXgmRABCEIR/FEVROBxj5mishfL2oFP//IY8S1tAZLmH2Oqgok79xGbO+MMm1YxCkVlBm2uNJfoBj1LuUdGvE5IFLBYT4YtXUr5uUyp1e4kqzgquDgrttU40V5f52UwBRVH45KqBnVEWylopWKsUVD9sEBVZRlKpsFgsZBsl8jPTsNwOJv78d9Qe8DblG7YufR+D/hGG7DTKVG2ArCjkGUGjgn41NYxpovtTmRA/lpSUhF6vp379+qWZD6mpqXz++edMnz79D7UlvW/OJ8D8CEc0WEtqQCE0RSbboGBX3BWU3KQkTBYjtp6VqJjpjIPhP4EcY2E+Ohs7oDgIkZCrMKi2Fm9nA3Z2dqXXbdu2jT179tC6dWtmzJiBjY0NAQEBKLbWxLWtTabFRIZkxhbVT46tPJ7dUZiRxaO4RDyaNsBD0tFc60hn7bPr+vGsPHr0iJycHDw9PX/zOicnp9KinIIgCIIgCH9XfyQA8fd5PCQIwr9WxCMLwbEWKjr8cvDBqDITWyEZrRoMRWryzP+5zqIopCsm1EiYTSoUi4oi61ziIkO58uZ75EXFopJUaDVWKEYzD29dxc5KIe6RgrlQw1lzFpGW/J+9b+B9E1+duY9N1h1stSpUajWKLJNwehdXVo/i4cUAVJKEvTGdWx+9xO3ALyhbuyVly1UB4O7BtRyf3JQTM1qTfjsEi6EQlSThoCvOhDgSayYs1fKH1stiefL6zMxM1q5dy/Dhwzl37hxQvDmfM2cOfn5+pKSkUFRUxO8NOOcoZoLM6TiixVpSI8syuSbIKCwOPuQlJxM0fgzHpk3mxqYviPvuCIl2qZjUZgCC1s0jNHA7ALLFgkqScLOROB5nxsr6P0GKSZMmsXPnTmbNmsX//d//MWfOHACuX7/O4g+WkI9C5i8EH6C420bm3VjOfbCOQ2NmETBoEgqQo1i4ackjTzH/oXV9lo4dO8Znn31GdnY2ABkZGbz22mv4+fnx2Wef8e677wL/+SxLMiRCQkLo2LEj48ePZ/HixRgMhucyfkEQBEEQhL+CCEAIgvBcKYpCcKwFZ2t+NQsgrYwes1pGK6vRqiCzSCktBJCvWFBQUBQJswwaSULSaaj0cm9qDh/IrbWbSAj+HoAKL7an8GEqBq0Re2s197MUylIchDD/aIMuKwobLySTfeZLkk7uKH09fOM00q6fxKV+W8I3TiN0zWgenA9AZe+KOfshOWlJhG2YSvimmSSd34ete1VcG7TDVKBHbVW8AZd+CELojRAUa/5dwYGSax5P0S8qKuLrr79m9erVrF27lhdffJHQ0FAURSErK4ugoCDWr1+Pq6vr7/tAgNvmPBRA98OQVCoVibkyJQkncadP4dmtBy/tPYCpsIDIb74h4dRp9DYFAJRxq8D9q6eLf1atRlEUbLUSmXlFRKUbAcjNzUWj0fDmm2/SoUMHJk+ejLu7OwBjJk0kXa/n7oVQVBQfw1F+2KA/rjAji8Cxb6PR6Wg7exKyyczdnQHkYqFIsXDHUvC75/wsGAwGDhw4QGJiIgBnz57l3r17AFy9ehUfHx+uXbtGtWrV2LJlC6GhoaWfpUqlIiMjgy1btrBs2TL27t3LJ598wqZNmzAajf/VeQiCIAiCIPxVRABCEITnKj5XITlfwUH3y9fIyDxy1KOWiwMUJd0WCi0KRTl5XN/5HbnRDyiyKEg/XC8rCopKoc4br+HRpiW31mwkNzYO2WCkTI1q5Mu5qFUKhWYoMKgoxEK8XAgUb/QtFgtXU2TSJRc86rbAXJCD/sENjPl6bF0rIak1xARtBKAoPYnIrbPByh61rSOyWy2y7oaScTuECj59yXt4j9Sw79HHRnA3YC25SXd/mIeERgW302Xicn45AFESeCg5bhAYGIifnx/Lly8nJSWFPn364OnpyZUrVwgMDGTRokUAJCcnM2LECCZPnkzXrl1ZunQpOTk5v/p5mBSZMEsuZdCUHnE5s3M/QSvXU3g/CkVRyIl7QPR3+/lu+BCMeXnU7NGLG59t4srJ3cgolK/VEKfyVTEU5AGQk57MgY+mceDNbrwx4y2uXbuGlZUVsiyza9cuXn/9dQYPHkxSUhK7d+8m29Gaer27cO7TLVgpxXOWfhhL/NnL5CanApB5Pw63BrVpNWMsFVs1pfPyOVxZvw0JMCgyV8w5WP4LxwxTU1MJCwtDr9dz6NAhjh49SteuXXF0dCQ0NBSAQ4cOERQURJ8+fTh48CCff/45LVq0IDs7mw4dOqDX60lLS8PKyooDBw7QsWNH+vTpQ//+/dHpfuWPQxAEQRAE4R9EBCAEQXiu7mRakOBXOzUU6oyY1BZU8n++skw5ORydsoCdPUfyYF8wl95cSuz+Y6gkQAUqWUGxyCh2WjyH+uPeugWRG74iO/IO6Vevo7Gxxqy2oJIU0gpkdKjYsn8v58+fR5Ik1Go1x+/qUUlQtroXGtsyxJ/eRVF6IvcCPyXh9E4krQ73pl0w5etR2zpREBEMiow5LxPJyo78lPvEHNmEfcWa1B82H8fqjdHHhBNzZGPpPKzUxdkc8TlPPuFXFKU0Lf/xtVm6dCkffPABK1aswGQyMWDAAMaMGUPXrl25efMmPXv2xGKxEB4ezo4dO1i8eDFvvfUW48ePJzQ0lJSUlF/9PDIUE0ZkdJKKOxdC2TB6KlcPH6cw/RHn3p1P4vlz6BzKkHXvLgWP0qjUug31hwylycjRRO7cRcSFAIwF+RgKctHorMnPyeLrd14m7UE0Ly/biUFtxxdffEF+fj7Lly+nUaNG3Lt3j7S0NHr16sXHH3/M5ds3aDS0H1l3YsiIvIckSaSE3+bI6/M4PGEOpxeuJmr/EawdHciIvo8iyyiyTIMhfci6F0tC0ElysVCgmDHw08yJZ8loNBISEoLJZMLd3Z02bdpw+/Zt0tPT6dGjB1euXOHOnTt07tyZixcvsmjRIgIDA6lVqxaRkZEYjUYcHBzYtGkTjo6OnDt3joKCAnbu3MnWrVupWLEi6enpf+kcBEEQBEEQ/ltEAEIQhOcqz1RcjPHXmNUWUEBCQh99jwffBaG/GUnU9r30P/gFnb5dR/kOrci+fhujvvgJv6RWI6lU6O8Up8A3fmsyZWrVIO3iFfTR98hPSEKRFNSSRJFZQYPE9ZCL7Nixg/v37zN69Gg2TX+Jh4FrSDyzm/RbZ3lw9EuSLh4CCSSVGkNmMsmXDqGyskGRzUhqDY4dRlF06zjOTXxBAftKtWg7/ztqdB+HfTlPDPp0nGr9p0aPSgKLAnmmJ5/US5JUmoEQHBzM9u3FNRUURSEnJ4cZM2awdOlSfHx8yMvLIykpCYPBQFRUFL6+vnzyySc4ODjQtm1bnJycSElJIScnB0dHxyfu8+OjH/kmA3dOFNeRuLDnO6LPX2LUl5/SfPYCqnXuQvgXnxN/9jS2bu5U7diJhHNn+falfkTt30eN3j25cmAr8bcuE35sDwGr36IwJ5NW/V+j7cCJOLp4UKl5VzIzM7FYLNjZ2eHh4YG/vz/Ozs5069YNKysrwkIuUrZyecr7eBN7IoTwzbvZ238slds2Z+Kt76ndpwvhm/fgXKs6WltbwjfvRlKpKNLn4t6kPre/OVic+aAoGJW/NgCh0+no378/1tbWhISE0KtXLwwGA99//z2+vr7IsszFixdp3LgxXl5ehIaGsnjxYnr16sWUKVN4+PAhc+fO5csvv6RChQo0adKEKlWqYG9vT2JiIv7+/mzduvUvnYMgCIIgCMJ/iwhACILwXOlUxbUWfo1KVqGPvMPJERM4P+ktsm7cxsrFiYod2/Dg6GlAwr1VEwoTk9E5lgEg/cI1Lg6cQsQ7KzBkZaOxtaHu2Fdwb90Cj7at0JZxQDFZUBTQqCUssky/KeOJiopi5cqVNGrUiL5vfkxS0MfEnfwaD++uAGREnqfuoDnIZiMGfTrmwjwKUh+gtiuLYjGR9X8bQKWhTO2WSGoNhekJXFkzhqPj63Pl49dAkvDw6lw6N0Up/iLWSk9ulE0mE3PmzMHf35+PP/6YXbt2oSgKt2/f5s6dO4SHh/Pll1+ybt065s+fz8mTJ3F0dOTs2bOlWQV37tzh3Llz+Pn5ce3aNTZv3oyHh8cT9ynJrigJRMRF32XTgDEU5ubRZog/btWqELpnP4UpyZTzbkZRtp7C9HQaDBuOQa9H/+AB+gcP6LhkGXWHDcaYl8u5XeuRiis3ELhmNnV8fGnYsQ+oVDiXq0hSUhI2NsW1MCIiIkhMTOTRo0dIkkSFChVwdnHh/LotlGvlRcspr9JoRH+snR3RWFsBULlNc+zKuRH57RFeXPIWKddu8nW3l9n30jgaDe9HakQkBSlpSCoV6l/JrPmjHg/WlGSoBAQEcPfuXQICAti+fTvlypWjXr16XLlyBaPRiK+vLydOnGDhwoW4u7sTFhZGUFAQer2e0aNH07hxY9q2bUu5cuXYvXs3H374IZmZmQwdOpQePXrQokULXn/99Wc2B0EQBEEQhOdJ9PcSBOG5qmgvYfmNY/rWJi2x2/fj1sKLhm9MAMBggQYvD+D21t207f0C974JQC4ykH37Do4NamHOzafqSH+q+3VFa9GUtmz0HPYSGgc7NI72aPN1FChQeC+S3IaVaFGpGg0aNODEiRP07t0bc0EB1m7VMWXEo7ayxbmuDxmRIeQ9jMHatTKFj+JBAdlUhFSUj1WVJhjiwrHx6k3BnQvYuVfBysmD8i17YV+hJtX9XsPK0e2JuRnMMrZaCQ/7/3wdy7LMqVOnuHPnDhs3bmTbtm1s3LiRJUuWMHDgQGJiYrC3t6dDhw5cuXKFXbt2YWNjQ9myZZk0aRLBwcEYDAa++eYb5s2bR3BwcGnmg8ViKS18WLImH330EQ4ODly6dAlnD3fq+nYgeP0XtB7Qh0cP4jkwfzFOzdtQubk3ssWErowDZatVp1avPqi0WoJfn8CdgAPUnzia/nPXkZ+STF7WI+r4+LJ70Vi0PxTeNJjhYWgwTZo0wc7OjuTkZGrUqMHVq1cZOnQojx49wsHBgWsfrKKCX3sSLl3FlJqOz7Qx1Onjy92gk9T174512TLU9e/G5Y83M/TwFnpsWMqDkxeo0r4F8WcuU7VLO5xd3ZAA62cQZy9Zp8ePwpT89/Tp0zl48CB9+/bl448/JiQkhG7durFy5UqCgoI4e/YsZ8+excvLCysrKxwdHTl27BgbN27kypUr9O7dGwcHB+rVq8fChQsZPHgwH3zwAXfu3KF27dpPPXZBEARBEIS/E5EBIQjCc1XPVY21WsLwK1GItMibZF++SY2Jw4HiTbQE1O/ZEVNePgFN+2Ll6oR9RXfC3lxC9Mov8OjajvK9XkQjq5EtFh5dvsbZsdM5/errZN+5i9ai5kHwcQ4P7M2xRYv57q3FzOkzmNOnT6PX6xkzZgyrpryEVVk3FEUpbrep1iCbjBRlJKDR2VC962jsK9TEYjJSqfNI3IatwK7lICwPLpMWdhSnOi2p2Mafim36UXfQbKwc3VAea6GpKApmRUVlBzVKajQrVqzg/v37qFQqjhw5grOzMzt27GDr1q00bdqUzZs3k5SURIcOHbh37x6dOnVi9OjReHl5MWvWLC5fvkynTp348ssvWbVqFe+88w4ajQZbW9vSe5YEH27fvk1iYiJGo5GDBw8yZ84cqlSpQs+ufvj278PpHXu5feYCddq2QqVWY2drzeU1q7B1caO6rx/3DgeiyDJqrZZ6AwdzfctXOBjsKF+pDjWbd0Sl1vBB/3oYi/IJP7YbQ0EeegOQcovOnYszQPLz89mwYQMDBgzA2tqaXbt2sXz5cg4GHabd6GHkxSUR/d1REi9cpeW0MTy8HE7W/TgklYry3o1wqV2D9MjiIzYOFdzZ2fNVzn+4gap+7XHQWVFPbYdW+vP/zP1cDY7333+fr7/+urS9Zo8ePbh06RK1a9emZs2aBAYGotPpqFmzJiEhIRw+fJg6deowadIkpk+fjslk4syZM4wdO5bbt2+zb98+du/ejZOTE3Xq1CE+Ph5ABB8EQRAEQfifJDIgBEF4rqzUEu0rqTn2wELlMj9/jV1ZV6xVNlgKCrHo7DErKspYgbWtLV6jB3NzTyBN35+OBon4q9FcfOUNNK5lqDq0HxISqRdCifhwLZ7DBlC5d1dUDjYU3kokMfw6XWfPpKKnC9sGTcDRypo2bdoQFhZGREQEderUISP9HkZ9GloHZyS1GkdPL3LjbmExFJATfxuD/hEqtZZa3UZx6+oljIk30JgLqO47inpD3jZwy/AAACAASURBVClN2y95iv64QjMY02J4dPprZsWEYWdnx4kTJ5g9ezbR0dFkZWXRv39/Ll26xPr16zl48CDbtm1j3bp1NGvWjGXLlrFnzx5iYmJo27Yt7du35/z58/Tr1w+AyMhIPvroIzw8PJg2bRoeHh7cvXuXSZMmodfrqVWrFjVq1MDBwQEvLy86d+5M69atqa1uw951n3N03Rd0HvsKDq7OZGToqdazLxrFQsNhIzj82qtkREdRvllzqvv6YlevGk4FdqVzc3DxYOTyXbhUqsHxTUsoyMulSsdhFDxKID8/n2HDhmEymTCZTAwaNIg5c+ZQs2ZN1Go1e/fuZc8nq+gw5TWiLoZyP/g0lVo3o1KbZpxbspbem1dgX86NbmvfK72ftVNZOiyYRvk2zZBRsEJFI7XDU/1ultTgCAkJITY2loEDB+Lj40NAQAA3b95k6dKl2NnZ4ebmhpWVFQaDgU2bNnH58mW8vb2xsrLi9ddfJyAggM6dO2Mymbhw4QKXLl2ie/fuLFq0iE2bNhETE8PKlStZsmTJU41XEARBEATh704EIARBeO46VdUQmSGTkq/gYfvTjhhqjZZKnk0wBt9EPbwDWjM464q/vqp29CF88270Jy7j2Kkl5b1r02r3WspWrYG9bINRayE3Jg7HOjWpMaQfFpWMLl+C8rVoMfpV9r/Um8LMbCSLjHP16pw6dYr09HS0Wi2JiYnY2duj0ujIT76PISOJSh0GkRt3E1Co3GEIjyJOoo+/jYwa+xrNcXnzW1zcy1GmuFzBT+Yi/ZCBkPUwjgKDgYxvF3DnzkUSExKwsrKibt26TJkyhZdeeom7d+9y7do1Hjx4wKZNm2jdujX5+fkcOXKEBQsW8ODBAyZMmEBSUhL79++nXr169OvXD6PRyJw5czh69CgjRoygZcuWJCUl4eHhwZkzZ2jfvj0LFizg/PnzjB07lho1atCvXz927dpFs2bNsDUYqFyhIhGXQrmw5zv8Xn+N/GMn0dWuT/a9O2htbXFt2JDC9HQUFAxaM1U9GmCdrYUfplu9SZvSOVes25TYe9HUTbjA/x07SsajNJycnJg9ezYZGRnMmzePmTNnll4fGBjI2HHjkAd2IunOPW7tCaRW7y50fO9N0iIin1hP2WIpztBwd8HGzZkCZCpIVniorPCQ/lj7ysePpwBkZmby5ptv8uDBA/r370+LFi0IDg6mcePG+Pr60qNHD9LT07l27RqtWrUiMjKSIUOG4OrqyubNm1mwYAF9+/Zl//79nDp1io4dO+Ll5UVYWBgHDx5k8ODBpUczBEEQBEEQ/g3EEQxBEJ47G43EeC8dlewlEnMV9AbliYJ/dk5u2LlXJeH4VTySrCnjKJGjtpCV+oismARq9e5CfMD/oUHCKClUrlcbhwJHyLFBnSOhK+9KXnIyER9v4PTAiZwcN53Avr5806Uj+sRkOr/YicuXLxMfH09cXBwGgwF7e3vy8/Np0rgxS5Z9CBYTZrMJt+4zsHIqT1F2Kmnh/0fGnVC0rtXJxY5xL1Rhjm8lymgV9IUy+SYFy4/S+CO2LeDwqzUImdeZajaFaLMfoMgyzZo14/Lly7Rv3567d+/Ss2dP3nrrLUJCQnjzzTfx9vamc+fOGI1Gjh49yrlz55g1axZbtmwhMjKSevXqla5XTEwMUVFRREREMHv2bDp16kTTpk0B2Lt3Ly4uLgC0bduWOnXqcPfuXV577TWMRiMDBw7Ez8+P8YOGsfLoAXJzc7gbHoFKpebhoX3YVqmOotLQdt4CqnT3xaA14Vhgi7u+LKpfOO6QlpqKi1s53nylFz4+PpQrV47XX3+d1q1bM3jwYOrVq8fixYtLr69fvz7BX+8m/ot9ZIZH0nBYXzTlXbF1c6Z6l3ZPvLfqh4CBSZEpRKa8pKOMSoOf1uVXW7s+ruSoxePBB4CsrCy8vLwIDAykcuXKpUU93d3dWbRoEXv37uXkyZN8//33JCYmIssyFouFw4cPM2DAAAYMGICrqytDhgxh5cqVALRo0YIhQ4bg6+sLIIIPgiAIgiD8q4gAhCAIfwsOOolJTXW82lCLo5VEUh48zFNIzlNIzpdo3n0I1e3MpL0/l8HR+ej2niJg6GRuHj5OzckjaP3xApqqHXjTuip+MTnod35OVXcLOpUG97o+OFeuz6PvQzEmJfPwxHGyou+gshRvPNu2bs2ePXswGAxUqFCBdevWlY4rNjaW+rWqU79+faw1Km6/3xVN2QpoHNww68rQcuU1pq/fz5Z+Lkxvbs3gujqmNreinqsGKzXojRI5RoUco8KlT6cR//02GgyYQa0mrZDPfEq1yhXJz8+nRo0atGzZkrVr12I2m9m2bRt16tQhICCAbt26YbFY2L9/PxaLhTFjxlCrVi0AKlWq9JO1jImJwcXFBYvFgslkKt0YAwwdOpSdO3diNpsB8PPzIy4ujvz8fD755BNeffVVvvnmG/x8felo58GGr77CSq3h3vUIGvb15cVJA9GrTBTpFDRmNRWynCmnL4uK/2z2LWYzeZlpfP/Vcla+3IZ7IYcZ2aUJjjpo1KgRc+bMoVevXqV1FBYsWMDXX38NQG5uLuPGjaN9+/ZkX73F64veofesqVSqUIlCFAoUCyZFxqwomBWFIkUmXymuCVJe0uGo0tJf546r6vdnP5Qctdi4cSOtWrViy5YtZGdnExYWxoYNG2jbti0HDhzg6tWrdOvWjVu3btGvXz8mTpzIw4cP8fT0RKVSER8fj42NDefOnWPlypU4OjqSkpLCwIEDSUtL4+HDh9jY2ODn54ezs/PvHp8gCIIgCML/CnEEQxCEvw2dWqKphwYvdzWpBQq5xuLX7bRQ3q4a+nYf88knn7B55Rr0ej1b3v8In04vIAM2khqrH57A7/l6P4U3bjDuNSu+3rOXDevXU75CRaT8XG7du8epU6fo1asXTk5OZEoSa9euJScnB2tra7p3787UqVNRq9W0bt2azMxMdu3axaFDh+jduzcPHz5khF9LdHZdyHiUyuw2udSt6Vpa40GWZTpV1dK6ooab6Ra+CDhL+MWz1O4+hriiR3jWrkuPahLfno+iVc/XGDduHC1btiQrK4tr167h7e1N9+7dOXv2LCqVCpPJRKtWrVi1ahXVqlVjz5491KxZE/j5uhJQXGBSpVKh1WqRZRmVSkVUVBSnT5/GaDSSk5PDxo0beeGFFwgKCqJRo0YsWbKEOXPmMGjQIAB27NhBXFwcc+fOpU8zHx4tNZGuGDEpMolqhZP3VBgL1Jg1EljD1SNfk5EUS9ex81BUatINGnItGoa+s56k4E+5ePIovTq3p0aNGrz88sv06tWLiIgIypUrx44dO2jbti39+vXj0qVL7Nu3j/nz5wNgURSumnO4ZMrCXlJj/CHgYJYUVICtosZapcZaUVFBbUUXrQsuvxJ8UJTi7JqSoAPAtm3buHDhAs7OzkybNo2QkBDu379P5cqViYqKYty4caxfvx6NRsOECROIj4/n5ZdfZujQocyZMwe9Xk+9evVo3rw5dnZ26HQ6Ll++zPz583n11VcZOnQo58+fR6MR/+QKgiAIgvDvJj2e5vx31bx5c+XKlSvPexiCIPxN5OXlYW9vD0BBQQFRUVE0aNCAO3fuMGfOHCIiItBoNGzatImZM2diY2ODs7MzsbGx3Lt3j7y8PPr168fRo0dRFIVGjRrRunVrjhw5QqVKlbh79y6jR4/mpZdeKi7KWLs227dvp2bNmqhUKhwcHLh37x5BQUG8+uqrfPnll3Tq1IkmTZoAkJOTg5WVFVZWVgQGBrJkyRJCQkLo2LEjYWFhtGzZkmrVqmFvb0+dOnUICQnhwoULDBo0iKVLl1JYWEiZMmWIjIykZs2a3L17t/QpO/y0VoHBYMDKygqz2YwkSaSmptKgQQOioqIwGo2MGzcOlUpFSkoKLi4uTJ48mcuXL3PkyBGGDh1K//79Wb9+PefPn8ff359Dhw4BsHLlSlq1alUa6LBYLKhUKiRJwmhRiMqU+T7OTFyOwlcj6mExFtF70S7KVvTk/t4P6O/3AhNeHsiDBw/w9/dn3759eHp6kpmZiZOTE9HR0axevZrp06fj7u5OeHg4TZo0KT0iApQGUIyKTIylgCuWHNIVU2m+hRqJhmp7GqrtcZG0v3rs4vGATUZGBrm5uVSrVo2dO3cyZcoUAgMD8fHxISwsjOnTpzN8+HDWrVtHZmYmtWrVolatWoSEhNCrVy8OHz5MYGAgp0+fJi0tjZkzZxIdHc3atWuJjY0lOTmZcePGMWHChGf2ey8IgiAIgvB3JEnSVUVRmv+ua0UAQhCEf7KoqCimTZtGjx49uH//Ph4eHgwdOpQxY8Ywffp0PvvsM4YNG8aAAQMYNmwY3377LQAuLi7Y29sjSRI1atSgXbt2HDx4EA8PD3Jzc3F3d0ev1+Pk5MSIESPw9/cvvefjAYCEhAS8vLxo0aIFo0aNonfv3gwfPpyePXsyZswYDAYD3bt3Z+/evWzcuJHvv/8ek8lE586diYiIIDIyEk9PTy5evMiRI0fIycmhadOmrF+/nkaNGtG3b99fnPvt27c5ffo0BoOBqVOnolKpMJvNaDQaBg8ejIeHB56enoSGhrJjxw7ef/999u/fz8SJExk7dizAE8GFkJAQzp8/T7NmzUprFPyc/Px8du7cSadOnahevTqJmQUsW/o+cbExuLq6sm7dOpYvXoCdnR0TJkygbNmyjBo1Cnd3d5YvX05hYSEXL15k06ZNZGZm8u2332Jn958OGj8OsPyYWVEwIqNGQouE6ncGHQASExPZsGED+/bto2LFiqxatQovLy98fHyYNWsW/v7+5OXl8d577xEXF0dhYSEjR47k7bffpm7dumzbtg1nZ2fmzp2LjY0NJ0+exMfHh6VLl5beLz4+nqpVq/7imARBEARBEP6X/JEAhKgBIQjCP1rdunVZsmQJq1ev5siRI0ybNo3k5GRq166NjY0NFStWJDc3l3bt2tGwYUNsbGxQqVRcv36dzz77jKysLMxmM4WFhQwaNAg3Nzfi4+O5dOkSvr6+7N+//4ngAzxZrFCSJGrVqsWECROYN28eycnJzJgxg6NHj7Jp0yaysrJo0KABJpOJkSNH0qFDB2xsbDh16hTJycmMGjWKmjVrMmLECD744AMmTpzItWvXmDdvXmnwoaR+Q4mEhAR69OjB2LFj+eqrrzhz5gwxMTEArF69mpdffplWrVqh0Wj4+OOPiYyMpF27dgQHB9OxY0euX79OXFxc6XsrioJaraZ9+/bMnj27NPjw4/uWuHPnDuPGjWPp0qXIsky5MjoyHz5gxKD+FOVkEBt9k+7du5OUlERJ8HjEiBFs3LiRxMRErly5wooVK+jUqRPBwcFPBB9+vL4/RyNJ2P5w5OaXgg/yj4p/AoSFhdG/f39UKhXR0dH4+PiwZcsW8vPzmThxImvXrgXA3t6ePn36EBERQU5ODi+99BKnT58mPT2dTz75BIC5c+fSsmVLLl68yPHjx0trakiSJIIPgiAIgiAIv0AEIARB+Mdr1qwZU6dOJTMzk507d+Ll5cXRo0dp0aIF9evX58svv6RcuXKUL1+ejh07IssyEyZMoFOnTtStW5f69esTFhZG2bJl2bp1K1evXiU5OZm5c+f+5r0rVaqExWKhQoUKTJ06lfXr12OxWFi4cCH79u3jxIkTnDlzBkVRqFixIgsXLuT9999n4cKFhISEIEkSGRkZrFq1ivXr1xMdHU3nzp1RFOUn3RlKMtZOnDiBjY0NQ4YMYenSpTg4OLB+/XomTpzIvXv38Pf357333uOVV15hzJgxODo6MnToUM6dO8eLL77IqVOnCA0NBUCj0fzk2MIvdYUo0bRpUxo3bkxSUhIbN27k0aNHNG3alIiICDp06MCWLVto06YNTk5OBAcHU1RURE5ODlqtlqtXr9KqVSsOHz7MmDFjnrjfs1RyXOXIkSMEBweTnZ1NzZo1cXBwKP1sR4wYQWFhIceOHaNx48akpaVx7Nix0jnOnz+f+vXrs3DhwtL2pt9//z0bNmzAYrHg5+fH6tWr+eqrr0R9B+F/RqFZ4WGeTHyOTGKuTPaPuhIJgiAIwtMQAQhBEP4nDBs2jJYtW/LBBx9w5swZfHx8uHjxIhMnTqRevXrcuHGDLVu24OHhgZ+fH+fPn+fQoUPIsszZs2epUaMGXbt2RaVS4eHhgSzLv2tjbDAY6Nq1K1qtlilTppCTk8Po0aNxd3fn9ddfJyIighs3bnDx4kWgOIhgZ2fHyZMnadq0KWfOnGHy5MlIkkS5cuUIDQ3FZDIhSVLpJnrVqlW8/PLLbN26FVmWURQFe3t7pkyZQm5uLs2aNePChQucOHGC6dOnl3Zo2Lx5M8OHD+eFF17gyJEj3Lhxg2PHjtGoUSOSk5N/cX6PF2j8JStXriQ/P5+6deuWduWoVasW3t7eREdH8+DBA0aNGkVeXh4NGjTg2LFjnDhxgr59+6LTFReJLMmw+D33+zXnz59n/PjxBAUFUVBQAMDDhw8ZMmQIixcvZs+ePfj7+5OTk8PUqVNJS0tjw4YNmEwmPD09+eijj9i5cyfDhw/nzJkzANjZ2dG7d28OHjzIhQsXWLFiBdeuXePDDz8sPaoCMH78eBo2bPhU4xeE50lRFBJyZPZFm1h8wcDcMwZWhBr5+KqR1VeMLDpv4J2zBr6IMHLjkQWTRQQjBEEQhD9P1IAQBOF/gqIorFy5kqCgILKzs9Hr9XzzzTc0bNiQHTt2kJ2dzXfffcfUqVMZPHgwH374IStXrmThwoWMHz8erVb7p+89ZMgQ1Go10dHRuLi44OzsjFarZdCgQXh6evLuu++ydu1a3N3dAdDr9ezatYuWLVvStGnT0vdJTU1lz549DBkyBFdXV44fP86BAweQZZnu3bvz6quvcvbsWUJCQti2bRvDhg3j8OHDtGzZkp07d1K+fHkmT57MgAEDyMjIoEuXLmzfvh1PT08++OADQkNDmThxIgkJCURGRj7RbvTPrLeHhwexsbEsWrSILVu2MH/+fF5//XVmz55NQUEB69ato6CggOTkZDw9Pf/0vX7JqVOnWLx4MSqVitatWxMTE0PVqlVZsmQJFy9e5N133yU4OBiA1157jebNm9O2bdvSQpFVqlRh/Pjx+Pv7s3bt2ieO2pQUv3zllVcYOHAgvXv3BsBkMgE81e+LIPxd3MuSOXDXRGKuglYFjlZgreEnWVFGS3FXogKzgr1Wwq+ahrYV1ahVv1x/RRAEQfj3+CM1IETOqCAI/xMkSWLYsGHcunWLwsJC9Ho9wcHBzJgxA29vb5YvX86sWbNKWzDOmjWL2bNnl/784x0e/qiGDRvy6aefEhgYiLe3NwBr164lOTmZXr16sXv37ieud3R0ZPz48cCTbSE9PDyYMmUKBw4coG/fvly+fJmzZ8+yb98+6taty8iRI5k+fTpqtRo3NzcCAgJo1aoVu3fvxtvbm7y8PG7cuEH79u3x8PAonff27dtZtGgR+fn5nDp1iu3bt/PGG288xWoXr/eHH37IvHnzWL16NQ0bNsTFxQWVSkXPnj25desWFosFa2trPD09f7b95dMqKiri/v37PHjwAChuHZqSkgIUd7moVKkSSUlJVKhQgT59+rB582YsFgvXrl1DkiRiYmLo2rUrr7zySmm9jZKsEJVKRWZmJgaDAbPZXFoYUwQehP8FhWaFoBgzpxPMOOgkKjn8NOjwOJ1awsUGXJAoMivsu2PiWqqFofW0eNiJZFpBEATh9xMZEIIg/M9QFAW9Xs/HH39MVFQUOTk5zJgxg86dO//iz5R0jXga+/fv5/Llyyxbtqz0tZIn6CV+q7NDTEwMX3zxBS+++CJTp06le/fuTJ8+nfnz59O0aVPeeOMNbt68Sfv27alZsyZnzpxh2bJlnDhxApPJRPv27UlISMDV1ZVOnTrh7+9PUlIS0dHRdOrUCYAFCxYQGxvLpEmTaN269VPNGYrXrkKFCsTFxWFjY/PU7/dHKYpC5cqVCQsL4/jx44wfP56JEyfSq1cvKlSowEcffcTAgQPp0qULOTk5ODo6lrbGjIqKIjQ0lDVr1tCvXz+8vb0ZMGAAdevWfeIeFy5ceOq1UhSFPCwUKTImFLRI2ElqbKVfL7YpCH+FHIPC5xFGEnIUKtjzp7IYFEUhoxAsCoxvoqOmkwhCCIIg/JuJNpyCIPzr5eXlYW1t/V8pDrhv3z5CQ0N57733sLKyKn295Pu15Mni40/XS6SnpxMQEEBAQAB9+vTB39+fqVOncubMGb788kvGjh2LwWDAx8eHTZs2MXDgQOLj4zlw4AANGjQgJSWFBQsWEBAQwJo1awgPD8fLy4tBgwaVZnSUBEOKioqwtrZ+pnN/99130el0pQU7H297+eMWmH+FXbt2MWzYMEaOHMnAgQOxWCxMmDCB69evM3vuHEIuXaLnkIGEXbxMwv0YPNzcOHPyFABxcXF06NCBL774gtOnTxMeHo6Liwtvv/029evXf+qxmRWFOLmQq5YckmUDxSshAQoK4KmywUtThgqS1a+2EhWEZyXfpLA+zMijAgUPu6f/ncs1Fh/NmOKto7qjCEIIgiD8W4kAhCAI/xqKUryZe54buB9nO/ycVatW4ezszKuvvgpAdHQ0derUISkpiRkzZpCamsqpU6cAuH37Np06daJ+/fr07t2b+/fvc/PmTRo3bszIkSNZunQpvXr1YtSoUSxYsIDQ0FAyMjI4cOAATk5O2Nra/sUz/o/fyuz4q5V09ujSpQuTJk2iQ4cOtHuhA1m5uTjXqYaNozX3zl2j+5sv06jHC8xvPIBdKXdo6eBOBcmK/v360aJFC+bNm0dCQgKZmZk0adLkqcakKAqRlnzOmLMoUmRsJBX2qJ8IxsiKQg5mjCg4Shp8tS5UUj3b4NDPjStDMfFIMWJUZDSSCgdJTUXJGvVf9PdjVGRiLAWEW3LJUsyYkbFCRUWVNU00DiL48l+kKApbb5m4niZT0eHZrXmuUcEsw+xWVjjoxGcpCILwbyRqQAiC8Mw9743m4woUC3ctBYRbcshWzCiANSrqqe1oqLbHWdL+5U/eH1cSfHg8EFES3JVlGbVajaOjI4GBgVSuXJn333+fnJwc6taty9q1axkyZAgHDx5k5syZdOvWDR8fH3r27Ml3333HsmXLSElJYfjw4SxdupQFCxbQs2dPIiIiiI6OZu7cuSiKgtFoxNHRsXRM/43sA3iyReh/c80BBg0axMWLFxk5cmRpAc8I/SPsm9SkRgUHhs3uT9D6AMK/y6KM1kjNChLeXb3ZvOgtUt+fjYe6PNPffotvd+5GlmUqVapE5cqVn2pMiqJwyawnxJKNE1rKqH7+n1mVJFGW4noS+YqFfcZUumlcqauxe6r7/xyLovBALuSKuTgTA0lBUf6TmWOLmuaaMtRV2z2zYyEWReH/0h5wz1GNCQVbVNihRoUaC8XjuWsswFHS0EHthKfm9wXNIiIiqF69Og4ODs9knP8m1x9ZuJoiU6XMs31fB51Ecp7Cd3fNjKj/07a+giAIgvA4kS8nCP8AiqIgK5bn0ou95NjA48GH55U5pSgKV8x6vjQkccqciVlRcEWLG1psUBFhyWW7IZkA0yMKFctvvldJG8hnRaVSlbbJlGUZSZJK1+21116joKCAmTNnkpCQwLvvvoskSbz77rvk5OQQGBhIZGQk165dY+rUqaVFKmNjY3n77bcZO3YsderU4fTp0/j4+KBWq0uPVNjY2ODo6PjE5/Lf3gQ8j01H8+bNqVKlCuvWreP8+fPcz0xjxey5GNMSaOXbiEU95lNUYGHowtFcOHABk1HN4HdGE7RmLx5KInpzNAneVVn+yZo/XYD0x8IsOZzOT8UNHTp+3/vZSWrKouGI6RGxloKnHgPAmjVr+PTTT3mQlMgR0yO+M6SQrZhwk7S4S1Z4qKxwl3S4Szq0SJw1Z/KNIZl02fjU9zYpMm9u+ZRly5dhTsnAXdJhL2nQSBIqSUIrqXCStLhLOiyKQoApjXBzzq++59atW+nQoQMzZ84kLi7uuX0H/VMZLAp7o8242f41f6sednAlxcL97H/n55KZmUlsbOzzHoYgCMI/gghACMLflKIo5Mt64ky3iDCcIsJwmhuGMzw03aNIfjablN+j5In+5cuX6dKlC8nJyX/6f2DNskJkhoXPwo3MO1vEgnNF7Lht4oFe/s0NhaIonDVnccachSMa3CQdNlJxWrv0w6bGRdLhJmmJlwvZZ0yl4BeCECVP60uCA1lZWX9qPj9WUFBQupE9duwY06ZNY+7cuRw/fpyYmBiSkpKIi4vjzTffxNfXlxUrVhAQEEB0dDTz5s0r7WyRkJBAo0aNeOONN9ixYwcXLlzg0qVLmM1mWrVqRf369fnwww9/clTg3/bkcdasWURFRREfH0+/sa8SffMGLw5ux9x9S8hOy6eMW1kGzX2FTq905+bpMM7s+p4qDWsw7pNpGIo0lFFysFjuE2RIxfKUG1qTycTE/2fvvONrOv84/j535mZHJBJi7yZmzFKlRqlRqkpspUqHXUVr1lZ7tb+itWvW3qNiRIwQEURCyJC9c5Obu87vjyu3VhHUaM/79fJK3JzznOc59znj+3m+Y/hQOr7TlIOjppGTmvbQ95Ev5uX/rk1LJ+xkIABKBJwEBXsMyWifIJ49jvT0dD744AP8/f2JvXOHtt06cy7qBh4yGxyER69OqwUZboIaIyKb9QmkmQ3PdGyz2YzRZOKgMQWdhwtqvYmYi5cfu4+tIMdVUHLEmMpVY/Yjt1mzZg1r165lypQpHDx4EB8fn//cXH9eriabyNaL2Cr/mfMmEwRsFHA8xviPtP+6ExUVxYQJEwDYuXMnOp3u1XZIQkJC4jVGEiAkJF5DRFEkzniD6/pzpJuSUGOLRnBA1g5R7QAAIABJREFUiZpEUzTX9IGkGRP+kWM/6BWQlZXFuHHjGD9+PF9++SWenp73GVJPS5ZeZNEFPT9dNHA704ytEtQKuJRoYu45PeuuGjGY/t4IDDVlc86UiTsqFI8xPgRBwFVQkS4a2WtIui8U4t5tdDodEydOpG7duowZM4bg4OACjyk/9GHBggXUqlWLw4cPc+bMGQYMGMCCBQvYtWuXtezjwIEDKVOmDL6+vpQvXx5RFPHw8KBSpUrs3r2bGTNmcPz4cVq1asWhQ4fQaDQMHjyY6OhoNm/ezOzZs/nkk0/w8vKylrOUVoGhX79+fNSxIyG3I/AsWZi3P24GghwbOxvytDoO/bab3yf/hu8H9fEoUxSA5p+2QaVRg2CLI1kkmeOIMj+fweDv78/lyAj6r/8Jk97A9pkLCQ88f9829+YJkclkXDsZyMph3wOWOWkjyDEict2kLdCxtVrtfb87ODiwYcMGOkz4BscKZTg07senMtgdBQUiInsMyQWaW/lePzKZjGj0XDNpqVO/HvaFXLh18TI5GY/3blAIMgphESHyRMt1umLFClatWgXAtWvXaNiwIe+88w4GgwGD4dkEkv8yR6JNOKj/WdHGVQOXksyk6f799yWz2XzfM8XDw4MDBw5QokQJgoKCJAFCQkJC4jFIAoSExGtIkimaBNMtNNhjI9ghCJZLVSbI0Qj2qLDhlvEy2eYXs3J/L3K5HFEUOXDgADExMTg4OCCTyQgLC6NDhw6Wfjwh4eKDGM0iyy/picoU8XIAV42ASi6glgu42wkUc4DAOBN/hD969cwkipw2ZuCM8qkT1hVCQbQ5jwRRbzWOrP0xGpkxYwaiKHLixAkAfvzxR0JDQws0rsjISD744ANOnz6Nn58fzZs3x8vLizNnzpCRkcGpU6fo3bs3hw8fJiUlhZycHIoXL87gwYMZOXIko0ePJjs7m/79+1O6dGkiIiL4/nuLQbpy5UqcnJwYPHgwX375JRs3bqR///7AX54O0iowTJw4kZuRkZSrXZ5Je6dRuloFACrW8+bdrs05teUYZaqV45t1E/B+54HkkoKAiBonMZkLxowCHffKlSuEhoZaDY1tu3Yi8yyMl0dROowegouHO2e37b5vn5zMLFZ8PYqczCwACpfwouLbdchO/es6dkDBeWPmU3lkREZG0r17d1q2bMlvv/1GSkoKSUlJKJVKUjMyOG/MpPO4kUReCCHhxq2nGpcjCpLEPOLEpw/FyPf6uXr1KqMmjCX1UhhqjYZKDeuRkZDIzXMXn9iGSpCRZzYScY/4MnfuXERRpHz58gQEBDBs2DA+++wzvvjiC7755htCQkKeuo//ZXIMIlGZIk6qf/Y4+ffm6KyCC9RvEvnPE5lMRlxcHNnZ2cTHx1OvXj1Kly7N+PHjcXZ2ftXdlJCQkHhtkQQICYnXDJNoJN54ExvsrcLDg8gFBQpUxBmfL+Y0P1cBWDwfRFFk9erVVKtWjS1btjBgwADOnz9Pp06dqFy5stVYL6gHxLVUM5EZIp52jzaaZYKAlwOcumMiKefhtmPMOrIxYfM35+ORYzObUSBwyZSFIAhcv36dH374gatXr6JQKBg6dCiffvopn332GSdOnCAvL49Dhw49ts0Hx339+nWio6O5fv06165dY9SoUZhMJnr16kV0dDQ1a9Zk+PDhdO/eHX9/f1q2bMmhQ4eIiYnhwIED/O9//0On09G4cWPUajXff/89kydPpmrVqgQGBpKVlUWfPn2oVcuSVPhF56z4N6BSqajzSTtSrl1DRIVeZzGcbew0vNO5KeN2zqRJj5Z/34CgQI2BOHPKU4Ue5OTkMGzYMJo2bcrkyZPp1asXAJVbvEtmfCKYTBQu4UWpGlXJzdJyPeAslw/7Ex9xE1tHB0RRZOuUOYSdDEQ0m8lISsa+kIt1btkIMrIxEfsUHhm//fYbLi4uzJ8/n+DgYL7//nuqV6/O9evXCYi4Si5mCrsVpnxdX/YtXgY8+doVBAHF3Xwqf8eDbWRmZjJ8+HC69epJlkzk3KpNHF+7mYoN6mDr5ETkhUvoc3P/tj2jXs+JdVu4vH4H50yZmEWRTz/9FLVazd69e+nVqxeNGjUiPj6eWrVq4enpiU6nY/z48U88RxIQrxURhJcjWMoEkdsZ/z4BYvbs2axevdr6/8jISD766CM6duzIyJEjycvLY/PmzZhMJg4fPgwU/DkpISEh8V9BEiAkJF4zMk0pmDEhe0I2eiVqtOZ0dOaCuWsD9yVJlMlkpKamIpfLrYb6H3/8weLFizl//jxbtmzBxcWFd999l99//x0ouAfEsWgTdqrHvwDLBAGZAGfiHjayr5m1T53QL991XCaX44SCoOQ7/Hn8OEOGDCEkJIRx48bh7++Po6Mjq1evxtvbm5CQEHx8fDh+/DhXr159qM38F8kHx63VajGbzUycOBGlUsm6desYPXo0derUwdHREVdXV/bs2UPPnj2xtbWlUKFCREVFMX36dFasWEFYWBjlypUjIyODX3/9lSpVqhAbG8vq1atZsmSJNdN//phelyokrxM5mGk57nMOLd9LVmo2KpuCL/MKyFCJ6SQ8xap/XFwcQUFBxMXFsX79epKTk1m3bh2ZajnOboUJPnAUgCJlSmIyGPh10Gh2z/+Zgz+vZM23E+m7aAYV6tVi/XdTsLG3I+rSFbTpGffNLUGExEckgwwICODSpUuAxei/dOkSQ4cOpWbNmowZM4awsDBOnjxJt27dWLxkMQqzZd40/7w3N85dfMgT6O9wRkGYSfuQF4b12rrbRlhYGMHBwajValq1asXqgKMUrVKZi/uOcG77HjKTUnjr3bdJj08kMujSI9sCUKhUJN2KIjnsBonaLLIwcufOHbRaLT/++CMAo0ePZt26dXz++edMmjSJPn36oNFoiImJeeJ4/usk5Yq8LFvYTikQmfHvCcHIv/cXKlSIcePGAZbn2MaNG+nUqROnTp3ixo0bzJo1i4SEBNq3b8/SpUuBgj8nJSQkJP4rSHdHCYnXDJ2oBfHJl6bFmBfQiwWPNc0XHq5fv86GDRuoV68ee/fuJT4+nuvXr9O7d28aNWrE6NGjmTp1KkWLFqVp06ZcvXqVs2fPFvh40ZlmHJ7CLrRTQnTWwy+vWaIR5VPervJFjtuXQpnVtivLOvdn9uwfmTZtGhs3buStt97i6NGj5OXlcfr0afR6i6GXkZGBVqvl8uWHk+blv0iePXuWQYMG8ccffwCgVCpJS0ujU6dObNq0iapVq3Ljxg3mzp1LzZo1SUtLY+TIkUyZMsXq1ZCdnc2AAQNo0KABUVFR5ObmUrFiRUqVKoWfnx9Lly6lWrVq93mnSKEWf49eNONcpBA9p36KQW94xrwYMhSiEd0jkj+uW7eO/v37c+zYMcxmMw4ODtjb2xMeHg5A//79Ld4qulyKeVfiwu6DpMbGUbiEF7cvheLbriXf7lgLwMn1W8hKSaVOh9ZUadqIrZPnoLazxaDLu++YckEgh7+q3qxatYomTZowatQoRo4cyebNm3F0dESr1bJr1y4A3Nzc6NmzJzNnzmTgwIHERUVzccNOANLiE6jyXqOnnkf5rvR67rda8/dftWoVPXv25LPPPmPLli3IZDKaNWvGxK+HEbhyI91mjMPZswgXdh+kYoM6GPUGwk6dsc7nK8dOkRIdC4Dxbj6HKs3exag3cGTOT/Tu0o2OHTvSv39/YmNjOXbsmKU/ej1KpaV06fLly3F1dcXLy+upxvRfJs8oIggvRxRQyCDX+OYLEPneZvn3/j59+gCWBJNgESL37NlDixYtrN5rRYsWpU+fPoSEhDBq1Ch69OhBWFjYqxmAhISExGuMJEBISLxmCE+50m/Z9ul4lOv+/Pnzad26NdHR0Xh6erJ27Vo8PDxIT0+nTZs2nDp1ikGDBpGVlcWFCxd46623aNOmzTMZeDIBeIrdHte0+DcNmB8Ymz43l91zl7Jx3HTe69udfpt+4fTJU9Ykkw0bNiQpKYlz587x3Xff8ccff1CtWjWSk5OZN28enTp1euh8RUZGMnjwYGbPno2DgwMzZsxg9+7d1KhRgxIlSjBt2jRu377Nrl27WLFiBbm5uTRv3pwGDRpQuXJlYmJirF4N6enp7Ny5Ez8/Pz799FMaN278ULzwvd4pEk9Hu687UMiz8DOKNZbZde+e58+fp2HDhqxfv56aNWsye/Zsli9fjtFopFSpUkRFRSGKIu3atSMnJ4fMxGSigkM5vXkHq78ZT2psHCnRdwg5dIyxDVoBMP3sYRxcCwHw4beDaNC1I4mRUdjY2z3YHQTxr9XX06dPM3ToUI4dO0bLli3ZuHEjAF999RVr16617tamTRt0Oh0JCQl0+m44EafPMrXlJ/w2eAwe5csU7IyIIqLp4WXzNWvW8NtvvzFixAh8fHy4cuUKQUFBxMfHE37pMv02/oJvm/eJu36D05t3oM/JpVHPzjTs+rF1PudkZvLLwBHAX6JG2do1cHIvzIUtu6n9dj0CAgL4+uuv6devHwsXLgQgODiYvn374uPjA8C3335boDH9l3lZksCD19GbSr63WUBAgNXLZtiwYUyePBmwhGJlZGQwffp0duzYQfXq1blx4waurq7MmzePvLw8vvrqKypWrPjKxiAhISHxuqJ41R2QkJC4H1uZg8X6eAKiKCIiYiOz+9ttTCYTcrnc+jKVkJBAkSJF0Gq1nDlzhl27dlGxYkVatWpFz549uXbtGp07d8bf359ffvkFJycnZs2aRcOGDZkzZw5Dhw59pjGVc5ERlmrGzfbx22kNUMHlYaPbRVASz6Pd42V3x3Zy/VbK1KqGZ/myuBYvRlZKKvZuhXFwcmLylCnMmTOHnj170qhRI/z9/dm5cyeTJk1i5cqViKKIj4+P1eDLP196vR6VSsXly5dZsWIFf/75J76+vhQqVIiTJ0/i5eVF9+7d2bNnD+3bt2f79u389NNP2Nra0rp1a3r27An8tXomiiIODg4EBwdTq1YtVq1aZV3RvW9MkvDw1KgFGUbkz2VgiYiYBRXG7Bx2nfC3ikLz58/H19cXgJSUFBwdHSlatChKpZLQ0FCqV6+Og4MDFSpUYOncpZRqWIev1/5M8L7DTG3ZieLelchISmZm0FHrsYL2HKR6y6YoVCqqtWhCxbdrczv4MhUb1AVAl61l97wlzN26l7nTZtCuXTuWLFli3T8yMpKyZcuSl5dHu3btmDlzJmvXrqVbt27IZDI8PT3Jysri7cbv4ujrTeyfp6nS7F2UavVTnw+jKKIQZNjIFWRmZnLs2DGqV69O8eLFuXbtGrVr16Zq1aqMHTuWRYsWERAQQN26dYkOj+D4zyvRxybhVrI4lRu9jVyppGyt6ve179vmfX4dNJr0+EScPdwxGY3IFQrK161FXFwcde7mPAGLyDJ37lzOnz9PuXLlaNy4MTNmzKBw4cLP9F3/F7FVCgUStp8HoxnsNG+eBNG/f3969epFgwYNAIunw5AhQ/D29iY9PZ2FCxfy9ddfM3nyZEJDQ2nevDlHjhwhJiaGihUr8s0335CUlMTKlStp1aoVrVq1esUjkpCQkHh9kd5yJSReM+xlhVCgxCQ+PiGenlwcZW6oBJu/3SbfkD58+DD169enU6dOHD58GDs7O65fv24NN6hcuTLvvPMO8+bN49NPP6V79+4EBQWxceNGZs6cydy5c60rlc/iAfGOl4Jc4+P3NdyNV6/p8XCeg8pyO4yYMZlMDyX2yl9hDti0jS2TfmTNyAnUbNOCMr7VuBV5Ax+5PZ/3709mZiYHDhxArVZbDShRFPH29rauqOYb/suXL8fb25sRI0Zw+fJl2rZtS9OmTa1JKtu2bUtKSgo3btxg2LBhVK1aFT8/P+bMmYPRaKRbt25/69Xg7OzM999/z/Dhw1EqldbknxLPhgYZ7jIX9MhBfHQVlcciimSlZrD2myV0rd+EgwcPEhMTQ9myZfH19SUnJ4exY8cybdo0UlJSiI2NpUuXLpw+fZoPP/yQH3/8kWbNmqFLy0SbnQ2iSIX6ten+4yRG/LESk97AoV9WEbTnIHM/+ZTDv6wm+bZlRfXstj1kJqdSrLKlcsedsHCmfdCZ7JRUFv+2giZNmtw3N7p3786FCxdITExkxIgRREdHM27cOGbNmkVQUBDHjx/n1q1beHl5UUluh2BrQ83WLZ4oPphNJs7v2o823VIJJAMDFU0qFi9aRO3atTlw4ADjxo3j+PHjlCpVCkdHR9LT0/H09ESlUrF7925SU1P5Y88ukiJuoc/NpduM8TTs2vFh7w4sXg9dJn/H5kmz7n4FljG61fTGzaUQp4/6k56ebvl+NRo+++wzEhMTcXFxoUePHpL4UEDcbS35dV4GWgOUdX4zBAiz2Wwt6Tpjxgzq1rWIgAaDgXXr1vHLL7+wY8cO3nvvPVauXEliYiLDhw9n1KhRdOrUiaZNm7J69WoaNGiAnZ0dixYtwtb2CSq7hISEhITkASEh8bohE2QUU5TnljEUtShD/ohklAZRj4iIp6K09bP8nAH3JirMysrCz88PJycnfvrpJ06fPs369etxcXFh2LBhLFy4kI4dOyKTybCzs+PAgQOEhYXRrFkz6tevj53dX8aD2Wy2ltsrKGWdBWq4y7iQaKa4g/hQG0azyJ0saFtWjvMjatV7CmpcBCU6mYidICMjIYnkqBjK1q5BVMgV6nZsS5thX5B2J56x77Sm1defUap6FW5cvY7qejR4F8LPz48ZM2bQokUL2rVr98h+njhxgs2bN6PValm/fj3btm2jf//+nDp1ih49erB69WpycnKoUKECJUuW5PDhw/j6+jJ27Fhmz56No6MjgwYNeiqvhnxBQkos+XwIgoCvwolDxsK4EY9YgMdabnYuGjsFh9cfx15U4f/nnxQpUuS+EJzw8HDc3d3Zv38/ly9fpnXr1vz444+cPn0ag8GAVqula9eufN7/M7YEniAs8Dx5WdkcW/k7Q35fxtCNyzm/6wAX9x6i5gcteK9fd2vb+lwdjXv7cXjZGrwbN0Cfq6N4jSr0njuV91We1vGJouWa+fnnn7Gzs0Or1fLDDz+wfft2vvrqK5KSkpg1axYRERGMHz8eR0dH7MxmHFGQK5rQ/E1CW502h52zFnHp0J8IMhln/9hDzbbvU6pdM4przRyIiiI0NJRbt27x9ttv4+vri6urK0lJSezevZtu3brh7u6Og4MDhw4d4pNPPmFkldLcMudiKyitwsKj7hlvd27P6hHj6PHjRNR3jTaTjYpW9d/hzPY9nDhxgjZt2gCWUqsSz467rYBZBLMoPnUZ42dFFKG4w5uxtpVfSvPmzZvY2dlRtWpVpk6dSvv27S1hVZmZAPTq1YsFCxYQEhLC8OHDGT16NJcvX+bjjz+mSZMm2Nvboy6Ah5GEhITEfx1JgJCQeA1xUXhgwkSs8Tp6UUSJDTJkmDBiRI8cBWVV1dHI7K375BuzmZmZREZGUr58eRwcHHByciImJoZq1arh6elJSkoKe/bsYeTIkUyfPp3x48cTFxeHSqWiZs2aHDp0iIoVK1rFh/wwjucJC5AJAl3fUqKQGTmXYEQhWBJOikD23ciKNmXlNCt1/y0p3/ASBIGGchd+T4pg37dTiLp4mQZ+H1G2dg0izl6gQZcOlvNW1IMaLZuyb/FyGowcyO0x5wk5GUh972pMmTLFmnAyX0zJF23++OMPlEolPj4+nD9/nqZNm1K1alWqVq3KwoULuXDhAq1atWLnzp2sWrWKAQMG0KZNG8LDw60u+fcaSSaT6YlijRRm8eIoKdMgyAphNCciF40gPP7Rdu10KPt+2kZJn9J0GP4hJzafYOoP0yhSpAh37txBoVDg5uaGIAhUqVKFatWqkZeXR0hICHFxcZw+fZq2bdvSsGFDTpw4weDBg+nTpw+NZV9yyZSFq6BCJhPISEjEu3EDvN66Pw7cZDQSey2cUxu3kZ2aRpWmjYgJvUbS7RiMMoE763czKzENjUZDdnY2AwcOxNnZ2XpN2tnZkZWVZfUG6tatG+3atbNWTQGQy2TUUThywJiCWpQ90vCMj7jJ9hnzWZNrSQi5a84SLvx5nHqtmkFqJiEhIdSvXx9HR0fmzJlD9+7dycnJQaPRMH36dJYsWYKXlxdyuZzo6GgAqikcuKbLxijIUTxmjssVCj4c+TU7Zy3i4/EjyRFNXNm6B98cOTVq1JBi518gNgqBioVkRGWacdX8c8cxmi3lPks6vp73NqPRiELx170hIiKCbdu2sXXrVn777Td69+7N6tWradmyJdWqVSM+Ph6A0qVLc+XKFWrXro1cLmfMmDHExsbi4+ODq6vrqxqOhISExBuLJEBISLymFFYUw1HuSqoxnjRzPCbRiFJQ4ykvgwOF2LfrAI0aNbK6+qelpTFx4kT27dvHe++9R1JSEps2bWL06NF06tSJpKQk3N3dqVy5MkeOHCEiIoJDhw6xc+dO3Nzc6NWrF6NGjaJ27dr39eNFrdCr5QLd31LQrKScwDgT0VkicgHKFxeoVUSBi43FQMrNzUWj0ViFj3zKKmxRHruA4GjH96d2Y6e0rDgV967EuR378W3b0mIwtmjC2UNHqORaBNe336VmjZpotVpSUlIoUaIEYDH+79y5Q9GiRcnJySE+Pp5z587Rrl07GjdujEajIT4+Hg8PDz7//HPGjRvHzp07qVevHoGBgQwYMMAqUNyL5NXwalAIAk2URdifp8WD25YUKo8QIS77X2Tz9DUIgkCtD+rTemAL0gRXmnXsyIxvv2PNgiUkJSWRkJBAnTp1mDFjBgBlypRBoVCwe/dufH19ee+99xg/fjx37txBrVazYcMGIiMj+XbaZKaNn0jE4RM4FHKhzbAvgb+ENLPJhEwuR65Q4L9qA+Xr+tJ+1GBr/9J0Wo4vX8+isZNo1rQprq6u7Nu3j5SUFPr160elSpWIjY1lzZo1nD9/Hj8/P+u+94oP+XjL7UkU9Vw0ZuGGCvkDIkSpaj54lCtNYmQU7qVLoPbywC45mXYOXkQRjq2tLc2bN2f48OGAJQ/G7du3ad++PRUrVsRgMFC1alUGDx5sNcSKCWrqKp05Y8zAXVQ9dsW9+YDefFXGF7mdLf6rfqdEYXcG/28Z3t7eT/nNSzwtjYvL+Tn4n63FmZwDdTzl2KtenxCMzMxMtm/fzocffoijoyPwlxCxYcMGZs6cSWhoKF5eXowYMYIKFSoQHh5Oo0aNWLhwIQaDwSqG5f/84YcfXtl4JCQkJP4NSAKEhMRrjEqwwUNZCg9KAaDVapk+eTr79+9HJpOxZcsW2rdvT4cOHYiNjcXT05OQkBCCg4OpU6cO27Zto3379rz99tvMnTuXqVOn4uvry7Fjxzhy5AhfffUVXbt2JSAggI4dO6JSqf7RsnaCIOBpL9C+/MMrZNeuXWPKlCnodDo2bdqEXC5n586d5Obm0qhRIzw8PLi6/0/eKlIYQaEgRpuBg60t733dj8Wd+/H7D7OwLepOwIr1DPx+FG2VbiS3acucOXPYuXMnPj4+vPXWW0yaNImcnBy8vLyIjIykZMmS1K9fn+DgYI4ePcpHH33E3LlzuXHjBh4eHowdOxaNRkNMTAx9+vRhwIABfzs+yavh1VFeYYeWkpzQixQRo5GLBkRUcE/4gUGnJ/FWHEtDlyNiJlUohDlayeJvvmeFUxFSU1Px8vJi+vTpGI1GOnToQLFixWjdujUREREEBgZSoUIF6taty9atW3FwcEAURbZv386FCxfQ5Bmp5lwE77kTqVKzBirBMh/yPWHyE6beuhjC9YCzfLd/k7VvOaKJpLh4vuvSkyrDxqLVarGzs2PQoEF88cUX5OTkEBQURL9+/ahfvz5r166lbNmyjz0ngiDwrqIQCgTOmzJRiALOKO8TIrrPmsi68dPo+tt8bh70p4hRhj4ji0qVKtGkSRP+/PNPSpQoQUJCAj/99BN9+vShZs2alC9fngULFtC7d2+qVavGhx9+aD1mfYUzRkSCTJk4igps/yYERGFjQ4N+3bh0xJ//rVrFh3UbPMM3L/E0lHeRUcgGMvJEnB4R5va8GM0iRhEaFnu9xNerV69y8OBBNBoN9vb2LFq0iOrVqzNixAj69OnDwoULSUhIwMvLC5lMRufOnZkzZw6//vorNjY2rF+/nr179zJs2DBrQloJCQkJiedDeBOSn9WqVUs8d+7cq+6GhMQr5+LFi9SsWdPqej1r1iyioqKYOXMmGo2GpKQkhg4dSlpaGkWLFiUsLAx/f39Onz5Nly5dCA0Nxc7OjsjISEqXtuSPiImJYf369VSpUoWWLVu+9DEFBAQwc+ZMAgICGDJkCCNGjCA0NJQhQ4Zgb29PrVq1OH36NNu3b2fDhg0EBwczeepUEuQmLpmySBUNJEXFELrrEEnnQviiz6e8U7c+BoOBunXr8t577zF58mRiY2Pp2rUr//vf/2jYsCE9evRArVazbNkyUlNT2bRpE5cvX2bhwoUMHjyYokWL0rdvXwoXLsyFCxeoUaOGdSVb4vXlulHLEUMccjEFRzEFJWYshQFFRBH6V+zN+FMrCDpyjT9nraB3Zz/GjB6NSqUiPT2dXbt2sXjxYmrXrk1YWBhdunRh7ty51KlTh/r165Oamsrw4cPJyckhKiqK5cuXs3v3bqZMmULHjh0BuGrMZp8hGRszOMpVD82ZlOhYFvf+iqEblmHnWojohDh2/zCHiD1HaNzoXX7//XfrtsHBwXz77besXbsWV1dXsrKyHunt8DhEUSRR1HPZlE2oKdvy2d2zYhLNjC1WE09PT+r61iIjLY28vDz69OmDn58fe/fuZdeuXaSnpzNy5EiqVatmbffAgQPWvBCPOmaYSUugKYM00YgC4W4gGZiAXEyYgVKCDW8rXXCXqQo0JomCE5FmZv75PLwcBOQvOCtlTJZIkxJvM/UgAAAgAElEQVRyPiz3cP6bl8mDuZC0Wi2rV6/G398fQRDo168fCxYsoEyZMgwcOJDff/+dGzdu8OuvvwKQkZFBsWLFCAwMxNvbG51Oh43N3yd6lpCQkJCwIAjCeVEUaz15S8kDQkLijaJ69eqUL1/eKiCUKFGC5ORkNBpLYG9YWBg6nY7du3cDoFQqre6nXbp04c6dO5QvX94qPgB4eXnxzTffvPSxmM1m+vbty5UrV6hSpQp+fn60b98ehUKBWq1m/PjxNGzYkHnz5nHkyBF27NhB6dKlOXToELNnzWLEiBEsm7yQnJwcZs+eDUMtGcw/++wzZvwwhaNHj9KgQQPq16+Pm5sbbm5utG3b1hqrPnXqVHx8fJg/fz6FChUC4MKFCwQFBdGuXTuCgoKsicVq1KgBPDqZnsTrRQWFHSXlZbhp8uCcMZ1UMQ05JkDEjIwPp3zH4FIf4uTsTMUKFRDNZi5fvkyJEiVo3LgxHTp0oGrVqixdupSRI0fSp08fbG1tOXDgAIsXL2bgwIHIZDJ0Oh179+5FoVBw8uTJ+4zwSnI7HGQK/A1pJIp5yB/wPFCoVBTzqcSpw0ep+Uk7POVq+rdqT+sZC/D19WXDhg24uroyb948oqOjGTJkCK6urtYyrgVFEASKCGqKyNTUVziTKhowiGbkgoADCjyXLGX79u2sWbWKvLw8jhw5woABAzCbzXTr1o1mzZpZE6vea+C1aNHiscespLCnotyOODGPy6Zs0kQDelHEQZBRRbCnssIOJ+HVGqz/Jcq5yGhcQsGxaNMjkwE/K6m54KYReL/Uq32lzM/tI5fL0el06HQ6nJ2dqVWrFsuXL6dNmzY0adKEokWL8vvvv3Ps2DG6du1Kp06diIqKokSJEtaEzW5uboiiKIkPEhISEv8Akr+whMQbxrx58/juu+8A2LdvHzExMaSlpQGQkJCAUqnk4sWLrFy5Eh8fHyIjIwGYPn065cuXf2X9fhCZTMbo0aMJDAxk2bJlaDQa9uzZg8FgoFKlSri5udGkSRNycnL44YcfWLVqFd7e3gwaNIiIiAjq1atHamoqX3/9NYDVK0Sv12M0Gtm2bRtfffUVmzZtQq/XExUVxZkzZ6hRowYGg4HixYvToEEDxowZg8lk4s6dO5QqVYrQ0FCaNm3KN99880zGnsSrRy3IqKywp7u6GF3UlWinrkwbdWU+VlemdKwWhULBhaAgq6dBr169CA8Px8PDgwMHDhAcHIyvry/29pYkr507d+aTTz4hPT2d/fv3A1C4cGGGDRvGjBkzcHV1va88rCAIeMls8FN50FVVlLfk9mRgJEnUkyzqyXNzxKmkFxnHz9PJ6ExvLx96duyEq6srLVu2JCsri+DgYD788EOCg4Pp06ePtd3nxVaQ4yWzobTclhIyDS4yJR9//DFHjhwhKysLtVpNq1atWLt2LR06WJK7KpVKq/BQ0BwngiBQVGZDC2VhOqs86aEuSieVB/WUzpL48ApoW1aBd2EZMdnPVlL5QVJzRQREPqumxEbx8gXaJUuWMHLkSBITE5HJZKSlpTFs2DBq1qzJtGnTWLFiBbVq1aJt27YkJiZiMpmoWLEiOTk5JCQkUKZMGSpUqMCiRYusbXbv3h13d3dJcJaQkJD4h5BCMCQk3jBEUcTV1RVPT098fX1Ju+sy3a9fP1q0aMHKlSuZP38+rVq1YuTIkZQsWdK6b/4K0evImjVrCAoKws/Pj9q1a7NlyxY2bNjAxo0bSUlJwcPDg19//ZXu3btjNpvJzc29r0wowO3btxk+fDi9e/fml19+YevWrXTv3p2EhARiY2MpVKgQTk5OlClThiVLlnDr1i0mTZqEv78/7du3Z8yYMVZvCIl/H4mJiXTt2pWaNWuiUqmYNGkSMpkMX19f9Ho9HTp0oFatWrRr1479+/czaNAgDhw4YL2Gli9fzs2bNxk7dqx1ZfRxpSbvxSSK6DFjRESJQPKdeMaNHUtWVhajRo3i6tWrrFq1Cg8PD+bNm/fS5+GECRNQqVSMGTPmpR5X4uWTZxJZE2rgYpIJDzsBtbzghrZZFInXgr0SvqihwsPu5T5XVq5cyaxZs3jrrbdo1qwZtWrV4q233mLt2rUkJyfz5ZdfsnbtWubMmcOpU6e4ceMG8+fPp3379nTq1Invv/8euVzOxIkTiY+Px8XFRSqlKSEhIfEcSCEYEhL/YgRBYMmSJWzfvp1V97hMDxw4EIPBwODBg+nWrRuFCxcG7jeQXkfxIT+vQqNGjbh48SLnzp2jdu3a2Nvbk52dzfLlywkJCaFt27ZWQ1Amkz0kPgC4urpSuHBhSpUqhYuLCwEBAQwYMIAJEyawf/9+SpUqRXh4OO3bt6d///5MmDCBZcuWodVqJW+H/wAuLi5kZGTQrVs3mjRpgpubGxs3bkStVhMWFkZ4eDhNmzYFoHbt2sTGxrJjxw4+++wzbGxskMvlpKam3ueW/bSrpHJBQMNfngNexYoxd+5cFixYwJw5c0hNTWXMmDE0btz4hY75aRk7dqxUveU/glou0NtHyclYGdsijMgQcbPlqfJCiKJIhh4y86C2h5wO5RUvvepFdnY2R48eZdmyZdSrV+++v3388cekpaXRs2dPtFotJUqUYPLkycydOxd3d3dGjRrF7t27CQkJ4eeffwbAw8PjpfZfQkJC4r+O5AEhIfEGYjQaKVasGBEREVbD+cSJE9SsWRNbW1vgr5CE11F0+DuWLVvG9evX+fzzzylTpgyrV69m1apV9OjRg169ej1x/23bthESEsLYsWOZOXMmy5cvp27dusTFxfH111/TrFkzbG1tCQkJIS4ujmbNmr1R50fi+cjKyuL777+nSpUq3Lhxg8uXLzNlyhSqVq1K9erVqVq1qjXXQXp6OpUqVaJ3796UL1+e1NRU3n77bQYOHMjgwYOfcKSCkV/x4nVASrT63yIxx8z+SBNBCSZEwE5p+ae6xyvCZBbRGiBbb0kgWtLRku/hLVfZK5krERERtG7dmqCgIOzs7DAYDNYwIUEQWLx4MXfu3GHKlCn88ccfjBgxgosXL3L69GnOnj1LgwYNePfdd196vyUkJCT+zUgeEBIS/3IUCgUDBw5k4cKFVpfphg0b3rfNm2RY3+sFERgYyP79+/niiy/o2bMnPXv2fOp23NzcCAkJ4aOPPrImkezRowc6nY5FixbxzjvvYGtrS5UqVahSpco/OCKJ1xEHBwfKlSvHxYsXGTduHO7u7gCEh4fj7e3NuHHj0Ol0bNu2jbZt21orPoiiSKFChTh79uw/4inzuogPICVa/a/hbiujh7eMduUUXEoyEZZqJjLDTFKOeLd2DMgFKO4oo66nQDV3OcXshVc6TyIjI3n//fdJS0vDzs7OKhrm9+nYsWO0bdvWUoklLAxRFNm1axd+fn40b978lfVbQkJCQsKCJEBISLyh/JtcpvNfHCtUqECbNm2oWrXqM7Vja2tLdnY2TZs25bfffmPLli38+uuvrFq1ChcXF1xcXF5ktyXeQD7++GMmTpzIiBEjmDdvHiaTienTp+Pq6kq5cuUA8PHxsW5/b94UKUxH4lVjEPPINKWQbU4jR8zEKBoAAZVgg4PMGXuZC/YyF2RCwZ4NTmqBd7wUvONlEdxyjWA0g1wGNvKnC894UTxYSvPezwVBwNPTk6ioKG7fvo2Xlxdg8QrMT0DcsmVLjh49yrfffkvfvn05fvw4xYoVe2n9fymIIkhioYSExBuKFIIhIfGGI7lM/8WD5+LmzZvk5OTcZ1BK/DcwiyKpooFU0UCG2YiIiK0gp5BMhSwti6FffY35bgnO999/n4kTJ+Lg4GCdQyaTiQyDjAStmYw8y0qwrQLcbQXcbAUUL9Egk3h9yDPlkm5OxEgecpQ4y9ywkdv/88cVc4k33iTNlACADAUKFAjIsZSYNWEUDYiYkQtK3BUlcZMXK7AQ8TqRm5vLyZMnadas2UN/GzJkCHZ2dvTo0YNKlSoBEBgYyIEDB/juu+9ITk5Gq9XeV3L6jUUU4cYNOHcOrl6F2FgwGkGthpIlwdsbateGokVfdU8lJCT+wxQkBEMSICQkJP51GI1GFArJwetNIE80E2XKJQsTeaIJO0GOi6CkmMwG2TMIawbRzBWTlvPGTLIwWj4UQQDMguWnAgEfuT2ud9KoVKykda6IoohJhEuJJg5HmbiTLSIIIqa7O8qwLDpqFNC4hJx6ngocXnICvtcRURTRihmkmuLIE3MwiSbkggK1oKGQ3BM7wemNFknzTLlEGkKINV5Hj876eX6IggIVHvJSlFFVx07u+EKPLYoiKaY4Yo3XAVCjQRAeH15nEo3kkYNGsKek0huN7J8XSJ6H/PKu+XMkNzeXcePGcfjwYby9vSlVqhTdunWjUqVK6PV6VCoVV69eZePGjWzatIlJkyaxY8cOAgMDGTx4MP3793+jQhAfy/XrsHKlRXRQKMDJCWxtQSYDkwmysyEz0yJSeHtD9+4gJdWUkJB4BUgChISEhITEYxFFEQO6uy7cIEeBStC8NEMxxawn0JjBKWM6yaIeEYsxB6BCoISg4T1lIbwV9miechU33pzHfkMKqaIeRxRoBDlG0YwB0RLLjoAKAROQjgEBaKwoRCU0KORyEnJE1l01cCvDjJNawFH16JwIuUaR1FywUUDXygp8CsvfaAP7WTGJJtJN8SSYotCLuQjIkKNAQJa/Jo+IGbVgi7u8BC7yIm/UirwoikQbrnJNfwYTBgTkyJAj4y/j1owZERNmTAjIKa2oQnmV7wsxgEVR5I7xBommW6ixQy4UTFTVi7mYMVNWVQ172esffnbz5k38/f3x8vIiJiaG3r17s3PnTsaNG0erVq2YOnXqQ15uW7ZsITAwEGdnZ4YOHYpGo3mFI3iBGI2weTPs2QMuLuDs/PiQC1GEhATLft27w7vvSiEaEhISLxVJgJCQkJCQeCRm0USWOZVEYxRaMQMBy0uqCKgFDe7ykjjLCyMXlP/Q8UWOGFLYY0hGiwkVMjTIkN/zsmwQzeRixohIEUFFX7UXJeWPNywiTTnsNCShRoY9crIwkWDWkyoa+EvaAI0gp6igxkVQYkIkFQPV5Q4U1zrzy0UDMgFcNU+XjFFrEEnOhbZl5DQvpXjhIsTrHF5lFPVE6i+TbU5FJWhQCKrHbqsXddjLXCit8nnstq8LZrOZS7o/iTPfQIYcOU++HkwYMWGkkKwItdStUMif7xqKN9wizhSBBocnej38HUZRjxEDFVS1XognxIuYkyaT6b78Drdv32b37t2cOnWK1q1b06ZNG0wmE0OGDCE8PJyOHTuyY8cOfvnlF8qXL/+Qx8S/DpMJli+HEycsIRYFyfWUl2fxlujSBT744J/ro4SEhMQDFESA+Jf4qElISEhIPAmdWcu1vDNE6kPQiTnYYI+NcPcfdphFE9HGq1zJCyDbnPbCj28WRbYbEtlqSMSEiAsK7AX5feIDgFKQ4SgocEZBsmhggS6K6wYtWVlZjBo1ik2bNt23fbw5j52GJOxRoEbGFbOWK6Zs0kQ9GgRsBTm2ghwNMgyimQhzDhdMmegw446KgLxMZt9KQaOEwrZPb9jYKQWK2sOOGyYC7phezDkymxFF8TUXHwxE6C+QI2aiERyfKCgoBBUawYEcMYMb+ouY7nrdvM6E5p3kjjkCOcqnEh/A4kWkQEWaOYHzeft5ngWeHHMm8aYb2BRQfMgvv5yPQlAhQ8ZtQyhm8f45ajAYGDt2LHFxcX/bXnZ2NtOmTWPatGmkpaW9kDmZLz7ExMQAEB8fz48//kjJkiXx8/PDwcGBy5cv4+DgwMmTJ+nbty9ZWVn88ssvAP9u8QEsXg8nTkCpUgUTH8CSF6J4cfj9dwgO/ke6JyEhIfG8SAKEhISExH+AXHM24frzmDCgkTmgEmzue4kXBMFqKMqQE6G/QKYp5YX24ZghlYOGFNSiDFvhyWELMkHAETk6zEw4uo06Dd4mOjqaypUrYzBYjFiDaGa/IRn1Xcf4K2Yt2ru5JDQPHEMQBFSCDFtRQBBFrpiySTcbiIzI5mbYYRR2BsymggkJSpmApz1suW4kKcf85B3+hnxjVSaTWfscFRXFl19+yfXr15+53ReNKIrcNoRaBCzB7qkNQUEQsBHsyRWzuWW48lzGeT75Yk1+v14UycYYYkxhKFAho2AGoAwZclSkmuO4bbjyTMcXRZEow1XkqJDdIz6YzeaHBIZ7/waPLr+sEjTkitkkmWLu+1ypVBIeHs6cOXPuayOf7Oxs3n//fcLDw4mJiWHMmDH4+/sXeDwPtrtu3TqaNm3K0KFDWbBgAb6+vrRt2xaVSkVeXh5gmfvnzp0jJSWFtWvX4uvrS15eHnq9/t8tPkRFwdatFhHhWcN4lEpwc4NlyyAr68X27xGYCnjPlJCQkJCytElISEj8yzGJRiL1l8gv1/ckFIIKRIFbhhAqCnVQy2yfuw/ZopF9hmQUCNgU8MXaARnnz17g3W+/ZHDNdzly5AhgKZcZaswiTTTghoorZi160YzmCSvGgkyGCtCnphNsLxIReIagyROoeOwdShgKF3hsarmATBDZecPIp1WePrzg3oob+avCAQEB/Pzzz4BlZbhNmzYUL178tfGIyBEzyTSnoOHZSpLaYE+WOZkcMQs74fkSNuYb27du3cLFxQUnJ6fnag8s30mI7gTC3YwWz9QvZIjIua4/i5e8PAp5wUJOssV0dKIWjfDXOb63HGxGWiZOLo5Eht/G2cUJl8LO1r/tWLeXsMvhNHq/Ab4NqlkTrKqxJcFwm0J4olT81Z9vvvmGvn37kp2djb29PRkZGdbzeOXKFapWrcrSpUvJzc1l7dq1TJ06lUaNGhXsfNzt2+3bt1EqlZw6dYrly5eTlJREz549KVq0KJ06dWL69OnExcVRqlQpunbtyuXLl2nZsiUlS5Zkzpw5lChRokDHfSPZts3ixaB8zhA4Bwe4fRuOH//HQzHy711hYWGUKFHi35OHQ0JC4h9D8oCQkJCQ+JeTYUpCj+6pxId8FIISMyIppjsvpA/BxizSMaJ5iseONiGZda16Er7nCKLJhCAIJJ4M4tCGLXTr1ZMtW7bQunVr1m/YwHlTFo4oyMJElmjEhoeNdPGBFdjglZv4X41W7Og+iLPzf8OzaV1cypYjZMfv5CmMBfaCAHCzhUtJZlJyn24l/saNGxw8eBD46wX+hx9+YPz48XTs2JFz585x+vRp/Pz80GheXnLQJ5FsikHGsyfdFASLYZ/ywGr80/Cgl0NoaCgdOnTgo48+Yvbs2axZs+aR2xWEFFMsOrKQPef6jAwFRgzEmMIK3gej5RwfPxDA/j8sYptMJiPm1h3GfTmNni0GsGTqcob4jWbf1kNWT5C545awbc1u3DwK89P0FWxY9oe1TbmgwIyRXCETnU5HfHw8AL6+vlSsWJGxY8fy7rvv0qVLF6ZMmQKAra0te/fuBUCj0eDn50dWVhb79u37277f65UClooWe/bsoW3btpw8eZIDBw4QFxfHunXr6N+/Px06dKBFixY0bNgQjUbDwYMH0ev1gOV6OHjwIJs3b/5viA/JyXDhAri7v5j23N1h715LYsoXREpKivX7yf+e161bh4+PD5MmTWLEiBFkZma+sONJSEj8O5EECAkJCYl/MaIokmiKQoG6wPuq0ZBsisEkPt8LrEkU+dOQihLhsaU1TXfDKlIiIrlzNhj/CXM5+v0sru88ROnG9Ui9cRtFYWdq1KhBQkICs+fOIfzKVWwEOQnmPOQ8OnmkcHcF9tKaraxs/AnHJsxF4+qM0tGRa4t/5ebe7ZRt3Yaw9RvR2uQiK2jcNVjHFZH29+KFKIpkZ2eTkpKCXC5n6dKlzJs3jy5dulC3bl02b96MVqslOTmZnJwcihQpwtmzZ4GH3dhfBQYxjzRTAmqeb4VThYZUUwIGUV+g/fK/25MnT3Lo0CECAgLo06cPgYGBpKamsmLFCuLi4p5LrIk1hAPcV+niWRDu+lDEGCIKtJ9Wq2Xnrl0oseHS2VBCzoWScCcJgD2bDlKjXhU2nVxJWko6GelZXDp7hZTEVLIysvHff4rFm3+k96CufDqsOyFnQzl7PMjadlZ6DiO/+ZZq1aoxbdo0xo0bB0Dv3r1Zv3497dq1Y+XKlZw6dYpp06bh7e1N2bJlrcKOnZ0d3bp1Y926dX/b//wQooSEBI4ePcrPP/9MmzZt+Oqrr+jatSv169fH398fnU7H2bNnmTp1KjY2Nuh0Oj7++GMOHjxoDcOQy+U4OzsX6Py90YRb5t4zh148iEYDWq0lKeULIDMzkx07dnDixAkAIiMj0Wq1BAQEcPDgQZYuXcrKlStZs2aNVaSQkJCQeBSSACEhISHxL0YnatGJWhRPmUjvXmSCHDPm505ImSTqiRf12DzmkZMZG8+VDbsAUDs4oHa0Jys2nvM/rUE0mxEQyI6KJSw4hJs3b7J8+XKqNahPbHAoBtFMqmhEjcySwPGusZ6/Qhd56AR/jv2RoJ/Xoo1P5PNLB6g1sAeJF0MRZALJZy/iULE0ACHHdgJgNBT8BVoth4j0R6++m81mdDodJ0+eZO/evdy6dYujR4+yZMkSnJycmDZtGr6+vpw9e5ZZs2axZMkSevbsSUBAAPDo2P6XjdacAfDMFRnysewvWtt7FKIoWmPL83/++eefLFiwgDlz5uDm5kbnzp1xcXGhUaNGJCYmUrRoUWv4yrMKNunmRIQX9GokQ0au+HSrwdHR0eTk5HD6fADbVu3l6sXrvP/Re+Tm6AgNuoouV0fAkTPk6fLo2/prju07SalyxTl99CwnDwVi72hHqfIlOHHQMl88ixUh6mYsIUFXydHmcuNaJFfPh6NyUHDp0iXkcjkzZswgKiqKVq1akZ2dTVpaGu7u7owePZqEhAS2bNnCsGHDWLRoEWA5p2XLlsXJyYmsu7kFHoz/z8jIYMKECYwaNYrAwEC++OILbG1tsbW1hHG5urrSoUMHRFFEoVBw8uRJunXrxt69e+ncuTPr1q3DweHZwnveeCIiQPWCK8SIItx5di+2O3fuEBgYCICjoyNarZa+fftSs2ZNzpw5Q2BgIFlZWQwZMoTmzZtbQ3pUL3ocEhIS/ype/RuNhISEhMQ/hlHUW1Zjn3lVWMQg5j1XH/JEMyZE5A+ER+RXewBQO9gTefgEO/uN5PLaPxBFKP5OHcp98B4Jl66isFFh4+KEXVF3tm7dSrdu3Qi9FEJGbBxGRETRDHfzJOR7PAiCgC49k71ffk9eVja9/DdjNppICbtJ6IadlOvYmopffkbK+UukhF2jfJu2BK/7DQCFUsWd65cI9d+FIU/3VOO0UUDCA4ko700uaTab2bp1K5MmTeLTTz+lZcuWeHp6otPpWLVqFXv37sXHx4d9+/bxf/buO76m+w3g+OecuzJlSBAidkRCjAQxiti7tFQVtWsWbWmNWqWUFhWlhKL2qr1FxCgSeyZ2JBKJRCLjZtx7zz2/P0J+bbUkkg7tef9RGvee8/2ec29e5zzn+T5P69atKVq0KDt27ODkyZMFOfyFRso50oW2PTN/nFkjCELu0pRnf86aNYstW7Ywd+5cqlevjoWFBfv27WP06NFs2rQJd3d3goKCSEpKeuWAjUHOKrQAhICICSOS+Y/nGRkZyaVLl9i1axdxcXGUdy+Ll09ljuw5Tjn3MjiXcOLquXB0Fjps7GxYvXATFT3LU712VRZvm0sNv2rs2xJE7P2H1KznzYlDpwEoV7kM8bGPWPbNKvq1G07Cw0R86tWgQ6+W9OzZk++++w4HBwcGDBgAQPPmzXO7TNSqVQtvb2+OHj1Ky5YtyczMZPny5YiiyO3bt7G1tcXGxgZZlnPPjelpmn9aWhqzZs2iRo0ajB07Fq1Wy/vvv8/8+fMBcHJyYuzYsVy+fJk2bdrw2Wef0bRpUzp37gyQW7PiPyk2NidroTCpVBAf/8pvlySJCRMmcPnyZX744QcOHjxIkSJFGDJkCO+++y5FihQhPDwcHx8fQkNDmTx5MpATuFAoFIo/ogQgFAqF4l9MLugtoywU+KbT/HQcv9qs2fyrdnpZKak8OHmOByfPUr7FG1R9tyNVu7+JIAjc3HGIU3OW4tGtA8l3o2nZqhXu7u5cPh2KPjEZyWxGEEQEUcSYkcmxqfPYO3QCdw8dx8K+CNXef5tHVyIQBIFGkz/i3KJVxJ65xL09h0k6fwlZknhy6w6l6jfAkJ7OkVVz+PGzd1k6oj0ZqUlodHmrnSEAZvn/T9/NT+eYlJTEunXr8PPz4+zZs0RFReHr68uGDRtwd3cnODiY4sWLExISgr+/P4MHD6Zz584sWLAg96njP4Esm3+nwkYBtveLz4Qsy7/KWsjKyuKLL76gadOmfP3110RHRzN16lQEQci92VWpVOzatQsHBweSk5N59OgR1tbWXLhwoQBjotDmKDzd0h99f27fvs3HH3+M0Whk6NChJCQkYGdfhKq+lYm5/5Couw9o0Kwut67fYd3izbzTrxOyLGM0GPHzr03g7B+xsrEm5UkqkbejadW5GXciIhn/wTQGdhiJWTLjUNSOYeP7U9XXEytrK86duIjRaKRBgwZ06tSJw4cPk5iYSM+ePbG3t+f8+fNYWVlRsWJFZFkmOzubOXPmEBYWRo0aNZg5cyZVqlTJ/e7u27ePJk2aMGXKFH7++WdcXV3p06dPbpo+wJdffsmRI0eIf3ojXL58eXbs2EFAQAAnTpxgyJAhhXTEX3OSBIVd60UQIB/ZQL/NaBEEgYiICJo1a0aRIkVYvnw548aNyz2/vr6+eHp6kpqayo0bNwgJCaFZs2bPtUpWKBSKX1ICEAqFQvEvJgqvVsk/lwAqoWAV2bWCgIiA+RfF6QRRJD0ugZBJc7j04xasnBzpuHIOrvV9EbUaYsIucOLLBdw/epoipUtSuWML9O9Q6hkAACAASURBVAmPqdatA85OTpQvX54xX8+k1cSP0IgqJKOBrJQ09g+fiMbKiqrvdeLElwu4vmk31ft0xZCeQcL1W1Tt3pHrW/ai0qiRTSbij/6M2WDE1q00dhXLU65pc0JWzaFS7aZM3h9F7fbv53meBknGVvP/5RKiKJKcnMy8efOYPn06lpaWnDlzhr59+3Ls2DGuX79O27ZtsbCwIDExkUuXLtG2bVuePHlCQkICZ8+e5ejRo7Ro0aJAx7+wqAQ1hXd7Tm6XiWcdPkRRJCkpifT0dJYvX87169eZNm0aer2eAQMGUKdOHRwcHAgLC8NgMCCKIsOGDSMwMJCqVavi4eHB9u3badas2SuPSY260LI8ZGTEp405f0/FihW5evUqZrOZjIwMpk6dyqY1W6hRvxrFXJzYvHw7cz7/jqvnIzi08yh7Nh2kWYdGhB49y6IZy3gYHcfQcf2o6FGOZXNWcePKLZ4kpXD/dhRVariz4dhyihYrytj+Uzlx8BQGo4E71+7j4uKCn58fCQkJaLVa1q9fj5+fH23bts1ts+nl5cWpU6cwmUwUL16cqKgo0tLScrtWZGdn891337FgwQLmzZtHhQoV6N+/P7Is8/HHHxMREUFUVBQADg4O1KtXj9GjR/9q/pUqVSqU4/yvYWcHhV07wWSCInnvNvMso+XkyZPcuXMHURTp06cPZcqUoWvXrjg5OeHp6YlerycoKAiAsWPHUqJECT7++GMmT57MyJEjGTlyZOHOQ6FQ/KuopkyZ8neP4aUCAwOnfPDBB3/3MBQKheK1o0JDohSNiJjvtfuyLGPCQEl1BdQFCEKoEThtekIWMtqnY7iz/yjB42ZSyq8mybciub5xF5U7tcKYnsGdA8ewL+uKLJlpNGkkCVdv8PjWPcyCyJsD3mfR6M/p2bMn+w8cYMeSFcRevEZ8ZBTWrsVJuBxBpQ7Nubp2O6kPHlLl7bYU83InPTaO+yGncO/QHK2NNUUrl8d7YA8qjBuDo1cFIhauwKqUCzVbd6Njj8mU9vTJ1xzNZjPJBoF6JdXEhYcybdo0jh8/zowZM3jzzTfZvXs3LVq0oG3btpQpU4aFCxei0WgYMWIEZ8+eZd++fRw+fJiwsDD69u3LokWL0Gg0/5juFwAyZh5LsajRFmhcsixjlLMori6HRtAhCALR0dHs2bOHzz//nKpVqzJ37lxmz56Nr68vjRs3Ztu2bWg0Gvz8/Ni4cSONGzfGxsYGX19fGjVqxGeffUb9+vXRFLB9YYLpARlyKqpC6FIuYcRCsKacrhoADRo0QKVSUbZsWSwscrJqbt++TUZGBg0bNkQURfbu2YesMXDzyj1i7sfxdu+OvNmjDUd2H+PcycsM+OR9vGt7kZGeSaee7ahaqwrHD57i5OEwHick8/EXQ6np583ciQs5fvAU5SuXxcJKR9P2jXEu7YCQqeHgjmD27NmDv78/VapUwc7ODpVKRfXq1Rk/fjxvvPEGoaGhREVF0b59e7799ls8PT3ZsmULzZo1w83NDa1Wi7u7O926dWPbtm2sWLGCBw8eULx4cZo1a0Z4eDihoaG0bt0ayFniUb16dYoXL17g4/qvlZIC589DYRbeTE2FNm3AKW/thc+ePUu3bt04c+YMoaGhWFhYMGLECPbu3cuTJ0/w9fXFxsaG+Ph4duzYQWZmJrdv32bo0KG0bNmSYcOG4eXlVXjjVygUr42pU6c+nDJlSmBeXqtkQCgUCsW/mEpQ4axyxUBmvt9rIAtb0RGdaPVK+36WzmslqPBV2xF/8w73gn8GICMxiZoDulPWvz5xF69iSNcjqlSUbuBL5uNkZLOZYtWr4FipHD5D38fzvU603RDAwDdaATk3sUlRMVw/GAKiQLuBvUmOjScm9AJBo6dTumFt+p7cRukGvhjS9Xh1f5Pb+0JIf/iIWgO7c37JWio2rYfG1pJSjZrQbskPuDZrgh15v/j/ZbtOURTJzkhn/pjeDBo0CF9fX2RZpmjRoly6dImkpCTu3LlDXFwcnp6etGrViuXLlzN79mwqVarE2rVruXr1KqGhoQwaNOiVjvefzVKwxUKwxkTBntKaMGAl2mEp2JCWlobRaKROnToEBQWxYsUK6tatS6lSpdi6dSuQkwbeqFEjzp8/T6tWrbh16xbXrl3L3V6xYsXQ6fLf5eX3FFOXRuaPl03kh4wZe7l47pKRZ8GmyZMnI8syer0ejUZDsadtFyVJ4uaNm2xYuIM3329D+cpuXDl3ndnjAhBVKrr2fZMF0wPp8G5rar9Rk3mTF9G+ZjcsrSyp5uuJtY0Vvg1r0rCFHw5O9ji7ODMjcCLVfDz5ccE6ls9ZQ2aykffff5/vv/+eevXqcejQIb766isyMzNp2LAhY8eO5bvvvmPevHl89tlnPHjwgNOnTzNq1KjcMT6r02Bvb8+mTZs4evQoYWFhzJ8/n9mzZyPLMr169SIoKIjMzJzfO87Oznh7exf4mP6rlStXuNt7tqTD1fWlL33Wbef06dOMGzeO3bt38/DhQ1avXk10dDQ9evRg1apVQE6djr59+2Jvb8/evXtp3LgxkHOOFQqFIi+UAIRCoVD8yzmqXJCRMct/3CLyt2TZjIQRZ1XpV97vs3Res9lMA5U9SWGXOTBqCgAJ125yfNp8gkZPp/bwPnTZvBgbl2I4VipHpXZNub5pNze2HyBi+wGKV61M5f5dcRUsuLzvMAcPHkSWZcZ99hlN3uqIbG2Bg6DFxtGeop6VqDnwPby6dQAg9NsfiDxyiqLu5Xln21JsXIqh0mnxercjd/YFY60DMrRYu7qgMotYZb/4RlaWZe5eOMGWmcO4cfoQhqwMoq6dITY2huNzh3Av4go+Pj7MnTuXrVu3kpWVRdOmTXMr/gcEBBAfH8/atWspUaIEhw4domnTpjRv3hw7O7tXPtZ/BUEQKKYqg4mCFSU1ygaKqdz44YcfmDZtGhqNhqFDhxIZGUnJkiUBGDVqFCtXriQ5OacDy6VLl6hVqxaiKLJhw4YCLbN4EVeVB2rULyyQmRdmzIBAJctaqNVqsrOz6datG5988gm7d+9m48aNWFtbk5mZmZvKnpqamjNfk0hVv0q4e1Xk1rU7NGnTkE3HV9CmS3PuhN/jo14T2LpqFxU8ylGmohvlKpehZaem2DkW4ea1OwA0aFaX00fOsH/rYcxmM5G3ozm65xQdWr1JWFgYY8eOJSAggD59+tC7d28snxY/HDBgAIsWLSIsLIz69evj7OyMVqvNrUOi+k2L2vj4eDw9PQHQarVERERw8OBB6tSpQ2hoaO52/0mZPP9Y5ctDsWLwtMNIgT16BH5+YGMDPF9n5Znt27ezdOlSEhISiIyMZNq0adSuXRsvLy9WrFhB6dKlefvtt1Gr1bRp04Z27dqRnJzM4sWL2bhxIx4eHoUzXoVC8Z+hBCAUCoXiX04nWuGqdieL9DwFIWTZTKachrOqNLaiY57389sCZk+ePGHAgAFcuXKFEqKOru/3Ql3EhvsnzlCytjcutarRftlsKrVrhiFdz+k5gZgliZJ1auDs5Y5ap8OkzyT60nUiDx1nc+teBC5ezLFjx+jQoUNOHYihH3Lhp92kP3lC7cpeVOzalutb9rCr/xhW1O9M1LFQ7MrkPAEsXr0KkHMz1GzWOFzaNqGsRodaEslUmXBKs0V8QY2D22eOEDisDUE/zMDWsRgntyzm63dqsH5yPw4t+wptRhyXL1+mYsWKGI1G3nrrLerWrcu6devo06cPfn5+nDx5knbt2iFJEteuXePQoUM0aNAgz8f472anckKNNk+dUZISkhnU+SOung/PvfE5fTyM80evUETlRNmyZUlOTub06dMMGTKEe/fuERMTA4Cfnx/Nmzdn1KhRVKtWjYyMDHx8fJBl+U+tHaBWaSij9kRCehpEyDtJetr+FRkJI8VEN04EnaZJkyb07duXd955BysrK2bNmsXOnTvx9/fnwIEDBAUFsXDhQoYOHYq3tzf6tEwu/XyVVl2bUr5yGdJS0zl74gJH9hynUasGGLONbDy2nH6jehB+8QanjoSxe+MB0p6kczciEpPJxOfzRqNSq5g5Zh76tAxqNayGbIQF3y5kwIABrF+/nuPHjzN58mTs7OzIzs7OPUe/zCbRaDR4e3sTHBz8dI5S7vc8ISEBR0dHYmJiaNiwIXv37mXdunU0b94cAGtr6wKfj/8UUYSOHSEhIad9ZkGYTJCdDS1bAr+us/L48WNCQkJyW/y6uLhw7tw5nJ2dEUURd3d3duzYwfz583F2diY0NBRRFAkMDKRz585s2LCBChUqPBeMUigUirz6D/c7UigUiv+OoqpSmDETY7yFCg1aLJ57KinLMkayMWHAWV2akuqK+Xpy+eyCdN++fdSrVw97e3sMBgN79+6lcuXKvGfhwr7e73Ji7hLe2bSYmNCL7PlgLEU9KhAZfBJnL3ekbAMXV2yiXPOG1B8zmCzZTBZmvG4n4T19JvXq1ePrr79m3759BAUF0bx5cyqXr8DB1Rvo8uFg3IuWoNSab4k6/DM+w3tTsmbV5+ZoQMYoQglBSxmVJbKTgXtxOmzTrV4YljeZjCQ+uINPm/cwSxKCqKJKwzZUfeczzgd+jChl8+DBA3766ScmT57Mrl27sLW15cSJEzg4OLB27Vrs7OwwGAzY2trm/eT9g6gENeW03twynEOQxRfWBomJesi5ny+yfN4aGjSry5u923D21EWiLsTTv/VImjdvzqFDhwgJCcHPz4+WLVsyf/58vv76awC+//57YmJiSElJoVq1an/VFKmk9SVeuo9eTkFA89K2nFdP3mDPyhCKly6KZ91KVKrjhqO9A4k/yyxfvpwlS5Zw4MABJkyYQGBgIBMnTiQtLY1Ro0ZRr149XFxcmDt3Lh4eHrz99tv8/PPPeJSsgawxUrtRLRbN+IE9Gw8ycExv3mhVj3EDvuDDbp+RmpzKR18Mpf27rWhUvh11Gtfi7M8XqFClLJU8K7AtdDVlKpQmy5AJGjPumtq4lSjLmDFjKFGiBJIkoVKpGD9+/B/WzihWrBjlypUjODiYDh06YGWVsxzr8ePHBAUF0bVrV3x8fIiIiKBnz56Ffi7+c+rVg1On4OZNeJoNlG+yDNHRyO3bI5QpA+QEXWNiYli8eDH79u2jS5cuHD16lPXr11O3bl1cXFy4ffs2zZs356effmLJkiW0b9+e6dOnYzQaWbt2LR4eHkq2g0KhKBRKBoRCoVD8BwiCQDG1G5V0tbAR7ckinUw5jSyznixZn/N3OR2dYEk5dTVKqd0RX1C0UpIk5N88pduwYUNuAcFRo0axZcsWJk2aRFBQEDExMdgIaqa074Y+4h73roVT96sxVB/UA+tiTnRaM58OP3xNSlQsD89epvqQXqTIJrIkI201TgzxboClpSUNGjRAFEXGjh3L7NmzAZj26XguLN/Ip7WbEn/mMrVsnfHr2Ab7Gp7oZQm9LJHx9M9MzFgJKjxU1pQRLHiCibJWajronIhJEzBKOXMym82/mp9kMiEZDaQnJ5ClTyM1IZbw43tIyzCgS4mkV8cWpKSkcPHiRSpXrsyePXs4fPgwaWlpdOjQgZEjR1K+fHkcHR0pVarUn3CG/zrWoh3lNdUxkY1Bznzuc/CMRqPGrbwrfUa8x8IZy7gRfpPu7XthpbPOXXbwxhtvcPr0aW7evMmYMWP4/vvvefz4MZAT0HJzc/tLgw+QU8+jtkVbdFhhxPCHmRCXjofzaYev+PHLrXjWrYSFjQWbv9tLwPBV1NS1JPVJKl5eXuzdu5clS5bg4eHB/fv3MRqNRERE0KlTJ65fv86JEycYOXIk/fr1o2bNmmRlZXE2+DIzhi7g6MET+Ld9g+p1cgr7Va9TFa1Og2+DGqwNXkqH7q1JTnzCe4O6cO9mFFbWVtja5aTcl6lQGlk2Y9YYKKWuxJmfz+Hv758bKHz254sKdwqCwHvvvYfBYKBPnz5cvHiRdevW0bFjR06cOIGlpSW+vr5K8KGwiCL07QvW1jlLKPJLlpHu34fKlRE6dsz98YULF+jcuTOCIBAaGsrYsWNxcXFh+vTpHD9+nCpVqiCKIs2aNWPYsGHo9XomTJhA27Zt2bt3Lw4ODoU4SYVC8V+nZEAoFArFf4iN6ICN1oFsOZNUKRGjnI2MjFrQUkQsioVg/cKsh/Xr19O2bdvcegXPnqJmZ2dz8uRJFi5cSOPGjdm/fz9jx47l1KlTVKhQga1btzJmzBjS4xIo7eBESsB6vH/4ClPLBhRr2QARSJMlZKciyBo1mRkZVLN1oLnWicqiJSpBIDw8nLp16zJ27FjCw8P56quvOHLkCP7+/vy0dj0Jrg5E2AqYkCkrWuKKBSmyCYNsRgbUgkARQY2loMIgm0nAiKtgQRutE9blVRTVSOy8bUIrSDhbiwiCQHpyAjYOzkjGbB7euoKFVRF+3rSIWh36UbScF8Vstfw0uSfbt21j9043xowZw4gRI1iyZAleXl6sWbOm0Aok/pMUURWlkuDLA+MNMuRUBFlAi9Wvglbu1SoiyRK2xXUMGz+Q0C3XqFjWSJs2bXJT9du2bcvw4cNZu3YtU6dOZcmSJf+I1H1LlTX1Ld/kQnYQT8yPMCMiokb8xXMbQ5aRuPuJrLw8GxmJjMxMGrf3o2/tMRzZeYLExETWrFmDIAg4OjpSqVIlLly4wNmzZ2nQoAETJ05k4cKFVKtWjezsbPbs2YMsy5QrV47Y2If89ONOFm+fQ92WNQnZeoqzP1/kTkQk7w/vzvY1e6jp5831SzfYtno3Hbu34edDpwm5sxtLq5wOG2bZzPWIq9w88YCDP31JVlYWn3zySb6LBZYsWZJ58+YREBDA7NmzSUlJ4YsvvvjT6nD85xUtCuPGwTffQFQUlCoFL1nuEJ6QwOn79+lgZYWTjw8MH86+4GAEQcDPz4+KFStiZWVFWlpabuBp5syZLFu2jJUrV3Lo0CF69+6NSqXC29ubmTNnFrijjEKhUPwR4Y+eXPyT+Pr6ymfPnv27h6FQKBT/SRkZGTx8+JAKFSrQunVrGjRowOjRoxkyZAgajYYpU6ZQqlQpypUrx44dO3Kr3ffv359GjRpRu3ZtAgICOH36NCVKlODzzz+nTp06CBo196RMTkpPeGI2YcSMMT6J4199x5uNmzLo3Z6Yzebctcvz58/n0qVLtGjRggsXLnDlyhU+/fRT/P39c8caa87miPExCbIREbBARPf0ptGETBZmjLKMThCpr7anqsoGQZbZunUrBoOBxh3fZcctE8dOnub85vlkJj2kyhvt8W75LhkZGRxeMoU7p/Yw6Ugytrf2su67nAv1rl27Ym9vz759+yhatCje3t4MGTLk7zhdfylZlsmS00mUYkmSHsIvukckPkxi04I9fD52EqkJegYMGMDDhw/ZsmULAwYMoGfPnty+fRu9Xk///v1p0qTJ3zaPPyLLMlHGcO4aLpJFxnP/9n7lTxk+vyfHNp/F27MGcyZ+R5UqVXBwcGD9+vX07t2brKwszpw5w6lTp+jXrx8+Pj6sWbOGihUrYmdnx4EDB3j//ffx9fVl1apVTJo0iX79+vHuu+9SrLgzH87uy52om+xceYgidrb0HdmDn37cRWjIWQRRoOeQd6jm68kP89agT9UzYvIgDHIW+7YcRKW3JitRyl3eUVDp6enYPC1qqPiTZWTAli0QHAxqNRQvDr8JClyJj2fcwYM8ePKEtqVL07RbN8p27sykL74gMjISDw8PIiMjWbt2LadPn2bFihVs3rw5Nyiq1+uZNm0as2fP5qeffqJz585/x0wVCsW/gCAI52RZ9s3Ta5UAhEKhUCh+T1paGra2tgQEBLBmzRrCwsI4duwYI0eOxMfHh2rVqnHjxg1UKhUTJ04kICCAR48eERiY0wZ6woQJuLu707t3b/R6PSdOnKBVq1Yv3Kcsy8yZM4dbt24xb9683DXner2eNWvWkJGRwaZNmxgxYgTdu3f/w23EywYipUweyFkkm03IyFgJKkqKOsqIlriJFohmGZVKhclkIioqCjc3N9RqNfHx8Xz82Xiq+3fCokxNvhvbl5KVa9J11HQubJzD5WP7aOH/Bl9++SUVK1bEzc2NIUOG0Lp169e2tkNhMMsSJkyYZQlRUIEJ/Js0xWg0kpKSQp8+fXj06BGiKJKZmYmDgwOlS5dm8ODBf/fQX0qWZZKlOB5LsaRICZgwcOHYdeZ8FIg+JYOxn41j8ODB6HQ61q5dS9++fbl37x7r169nxowZ1KpVi0ePHuHn50dSUhIzZszg8ePHtGrViqysLFxcXAgKCuLIkSNs2rSJoKAgwsLCGDhwIMePH8NglcayNYs5cSiMnkPeoYavN0aDEa1OmzvGjIwMmlToQN9P3mXnqgMUK1qCH5Yux8vL6288cooCe/AAjh6FY8fAaMxprSnLIAiMPHWK4nZ2jJ8wIad+RNGiXLx4kbFjx7J//34gp7OJj48PDRo0YMGCBTRq1IhevXphNBrRaDSkp6cTHR1NlSpV/uaJKhSK11l+AhDKEgyFQqFQ/EpsbCyxsbGsXLmSr7/+muHDh7N48WJCQ0Np1KgRTk5OZGZmMnLkSG7evMnKlSvZsWMHH374ITVr1mT37t2kpaVx+PBh3nrrLSCnIv7Lgg/w/zXnEyZMoE+fPowfP57r16+zcOFCatWqxaxZs/joo49euo0Sgo4S4u8vfThx4gRTAwMpU6YM9evXp169epQvX55Jkybh4uLCkCFD+D5gHiEhIUz/9C1qlS/P6aObeOurj6jbpQXfxd0gICAAFxcXdDodJpOJJk2a/KeDDwCioEKLitxGIhrw8fHhzp07hIWFAWA0Gtm+fTtlypShTp06f99g80kQBBzVLjiqXXJ/9gQtUpZMdpaBgQMHotPpiIyMxNXVFXt7e7Zt20bLli2JjIzE0dGRL54+lW7dujUzZ85k7ty59O7dm+DgYK5duwZApUqVmDdvHsHBwTRt2hQvLy/mzfuWyZMn83aj9ynv7IFHtTJkk46sFciSDUBO5w2VpYoeA9/h8pGbbFr7E76+eboOVPzTubpCjx7QvXtOh4zERJAkLty+zemLFzkSFATW1jnL4YDo6GjKlClDTEwMpUqVokOHDmzcuJFevXpRv359VqxYQa9evXKXWFhbWyvBB4VC8ZdSilAqFAqFAsi5Me/atSvt27cHYN68eSQmJiKKIl27dmXu3LkAfPDBB1y+fBkAd3d3KlSowPXr17GysmLNmjUcP36cNWvWMGvWLHx8fPI9jmdrzqtWrcrs2bNZu3YtX3zxBQsWLMjNiHgVISEhNG/enEmTJlG/fn1sbW2ZM2cOH374IQBubm4cOXIEyCnQt3HjRmbOnJnbdm7RokX4+vpSunRp/P39OXjwIOvXr+fYsWP5Xlf/X+Hq6pobeJIkKXe5yusUfPglk2wkw5yG3pzCGy3qYTQaGTFiBO+99x61atXixx9/JCgoCH9/f37++Wesra3x9/dn3bp1rF27lq5duxIfH8/58+e5c+cOAQEBWFlZ8dNPP+Xuo0+fPgQEBADQo0cPjh49CkCl8u68064n3nZvUE3XmMra2lTQ1qSithZVdPWopmvEwq+WEhwU8srBB5NZJk5v5vpjicsJElcTJe6nmsk0/fOzZf/1RDFnGYaXF3h741ynDlorK/QZOUuDntXucXBwQKfTER4eDkCbNm24evUqkiTh7+/PwIEDMRqNucVj89PpSKFQKAqDkgGhUCgUCoKDg5k0aRIDBgzgnXfewcrKiuDgYD799FP27t3LJ598Qo0aNQgPD6dr164sWbKE1atX06tXL3x8fDh9+jTr16/ngw8+oEmTJohiweLb9vb2TJo0qVDXnGdlZXHv3j3u3LmT+7Nhw4bh6urKqVOnaNu2LYcPH2bnzp2UK1eOlJQUfHx8uH37NsWLF2f16tVMnDiRzz//HK1Wq1y454GtrS02NjbIspxb/O51IssymXIaj6VYUqUkjGQhIORWuhg+ow/j+3yBWqOm3wd92bt3L87OzgQEBPDhhx9y8eJF3n77bW7evMnIkSOpWrUqCQkJTJo0iTVr1uDh4cHw4cNZuHBhbo2GTz75BCcnJy5fvky7du1o167dc+MSBRWWQuF8L0xmmZvJZo5FS9xONiPJ5GaxPPuEm2UoYSXQ0FVFjWIqbLT5++w/a/GbZdZjJBuzbEYURDTosBCt0aBTvk/5pNFo8Pb2Jjg4mG7dumE2mxFFkYYNG7J//36++uorIiMj2bVrV+7yMDs7O8qWLft3D12hUPzHKTUgFAqFQsGSJUs4f/48S5YsAf7f3aJLly60a9eOvn37MmLECLKysggMDGTt2rV89913nDp1CoCjR4/i7e39j27XJssyrq6unD9/nuLFi5OdnY1Op+Pjjz8mMjKSrVu3smjRIs6dO8cPP/zAsGHDuHHjBrGxsXzzzTc0bNiQIkWK/N3TeK3Isvza3ljqzSk8MN4kU0572gNDh4jqV/ORJIk6JZrRqos/185HMHb2KDo17Yadyolhw4YRFhbG9u3bsbOz480336RmzZrMmTOH69evM3/+fFq3bk3nzp2pXbs2TZs25cCBA2zZsgWAihUr/qnzk2WZa4kSm26YSDWApRrsdaASnz9fsiyjN8KTbFAJ0KyMiuZl1GhVLz63JtnIEymeR1IUBvlZ8EbOqVWa+1YBrWBBcZUbdqpiqAWl+0JevKhezubNm7GxseHYsWNUqVLlP1EQV6FQ/L2UIpQKhUKhyJddu3axePFi6tevT3R0NNbW1ri6uhIfH09cXBwBAQGkpaXh7+/P4cOHcXZ2pm3btixcuPC1Wj+8evVqjh07xtKlSzEYDGi1WuLj4/Hy8iIi8irRD6P4ZNinDPtoMK1bteHsyYv41fb7V7bSVPw+sywRZ7rHI9N9VIL2hU/nkJGBXwAAIABJREFUb1y9zUc9xpOSnMrbvTtSu0l1wq9EELz1JBaiFY6ORcnMzGTt2rWEhoby448/sn79eiwsLJg9ezZJSUmMHTuWuLg4du/eTdWqVWnduvWfPscMo8xPN02ExUkUtSBfGQ1Gs0xcOpSwFujlpcHV9vlsp2dFOx+YbmJGQoPFCwMLJtmAkWxUqHFVu2OvKv7aBq7+SrGxsUyYMAG9Xv9cvZy5c+cqrTQVCsVfJj8BCKUGhEKhUCho1aoVrVq14siRI7i4uKDRaLh69Srh4eHcuXOHI0eOUKpUKdzd3VmxYgUWFhYEBQW9VsEHgO7du/PTTz+RkZGBVqsl05zOsasHqFi9LJcf/0yWYwJNutYhRRPHLcN57HwlYoWbpJuf8DoE7BUFI8km7hkvEy/dRyfYoBUsXngjvGXFDtq90wKT0USxkk4smraCE3vOICGxIuRbtu3eSvny5dm+fTvly5fHycmJDRs2ANC4cWNiY2O5c+cOHh4ejB49+i8JPqQZZBZeMHA+XqK0bf6CDwAaUaB0EYE0o8z8cwbuPDH/6t8l2USk8Qr3TddRo8VSsH1pVoNayHmdCjWRpmtEGq8iyaZ8z+2/5kX1cpTgg0Kh+KdSMiAUCoXiJWRZRpJzUo8L+lROlmVMGDHLJgRBQIUGlfDPKsfzrD3b3bt3mTdvHnq9nvj4eHbt2kVqair29vZ/9xAL5JtvviH5STLDJ/cjXrrPoqkrsLK0Ychn/Z57rSzLGMjEjAkHlQul1BVRC9rf2aridWeWJe4Zr5BmTsICm5d+169fvMGUD7/ixwPfs2jGD9y6foePpg4hJiqOkL0n6D+uO26upbm+7wFbNm0lMDCQzZs3s3r1aoKDgwF48uTJX/p9yjLJLLpgIFYvU8K64BkGaYacpRmjfLS42opIsom7hkvo5ZQ8HcPfI8syWaRjLdhTXuv9j/v9+E9VmPVyFAqFIr+UNpwKheJfT5ZlsmQ9RjkbkBEFNVaCLaJQOIXu9EaZi/ESR6IlHmfKmAGNCJ5FRd5wVVPBXkDMx8W1JEukSonEmu6QLichy2ZAQCWocFKVppjaDSuhyEsv2NPS0rC1tf3T1tabzebcJ2dbt24lPT2dxYsXc+bMGURRxM7OrlD3J5lNPDJHoZdSkGQTWkGHg6oEdirnPy0Fe/CwQbiWcsVUNJV964IpWsyRCd988ruvFQQBHVZPU8rj0UtPqKCriU6w/FPGpvj7PDJFkSo9xlKwzdNnz9HJHo1GTaY+k4+nDUWWZURRJD1Vj1anIebGI4qVKkq1FhWZMun/XQgsLCwwGo2o1eq/PJi3/56J+2kypW0L57tlqxUwmWV+vGrkk9oaHprDCxR8gJzvnIVsg15+QrTpBmXUnspyjDxQgg8KheJ1oQQgFArFa8UsS6RIiTySosiUU/n/SjIZFRqcVa44qkuiFV5tzb5kltl/z0RwlIQk5xRlK2mTc1EsmWVuJJm59MiAs5VAT08NZe1evJLNbDaTLidz23AevTkFk2xEQEAQct4nm82kS1eJNd3BUVWCCtoaaAWL57YTFhbG/PnzcXR0ZMGCBS+9IDeZTJjNZrTaP35a/6xq+jOyLBMREcHGjRvZuXMnbm5ujB8/Hp1OR8OGDYHCa9mWbc7kvvEaD013kTAiy09r0glwz3QFS8EWN3UVXNQVCtxR45fMspmH4i3e6t+Os8GXmLZoPB7e7i99nyAIWGKDQc7gTvYF3HW+f0omxG/PyW+9zkUd/8kyzWnESfewEKzzfHzVGjWVq1XidMhZ2nZtgSRJiKKIT4MaHD94iqXf/Eib+y04vPcITVo2KrQuBK/6Gbj7xExwlIlSNoX7+XGwEHiQJnPowUNcSzzCkrwFcF5En57B8QOhVPJ1w76CM/bqYoU02rwxm80IgqB81xQKheJPoAQgFArFa8MkG7hnuEq6ORmNoMPiNxe6kmwiTrpHghRNOa03NmL+ni6azDJrrhs5Hy9R0kZA/Ztq8CpRwDmn0Dgp2TLzzxsY5K3Bo+jzWRfPbiSfSI+4aQwj06xHRI1WsORX17TC0xZ15mzi5Htkyxl46uqhffqE/cCBA8yaNYsHDx7wySefMGjQoJfO4+HDh4SGhtKkSRO0Wm1ut4fc4/S0w8WzG91n/y8IAqVKlaJkyZIsX76cmjVr5uv45ZXenMLFrGCyZT1q2QIL0foXFfHBbJYxyJlEGENJkmLx1DVEJRZOZkuCFE26OZkxX4x8pcCGVrAiS04nxnQLt0J6MivLMiaT6Vfn5I9uMp/97NKlS0iSRK1atQq8fwU8NN1FRJWvDKqixRwpVbYkp0PO4t/uDSytcgKHGfpM3CqUxqO6O2dPXOCNFvXp/sFbhbJ861mWxau8d8dtI7Za4Xe7XBSUi42JGOkGpSQLBPWrb99oNLF64UbWL9mCe9UKGNYYGTXdxJu1evylSzGeHePMzEwsLZVsJ4VCoShMShFKhULxWshZW3yZDDkFS8EWjfB8ZXqVoM5Jn0bFHcNFMsyp+drHrtump4XZng8+/JadTsBeB0uvGIlJNz/376IoojensOX4aib0/gp9YjYaUcPv3YMIgoBW1KFGmxOwyD5HfEIc/fv3Z9asWRQvXpwmTZrkBh/M5uf3J8sykiQBUKJECXbv3s2oUaOoWbMmR48e/dVrVaqcm6zIyEgGDRrE1atX/z8vOzsGDRr0pwUfsswZXMw6jEHOQocNavH5mwpRFNCIOnSyFY/M0UQYThVKAUiDnEmc6S4WgnWBsip0WJMsxaGXnxRoPEajkVOnTuXW3BBFkX379jFixAhWrVr1q3P6bP4nTpxg1apVjBs3juzs7ALtX5Ej25xBqvkxWvJ3oykIAu27tcJoMDJu4FTCL91k14b99G/3IdcuhNOsQ2M+nzuanoO6YSCL9Ff8vDw794IgIIoiDx8+ZPz48WzevPl3fxf8nli9TGSqGfs/qZmLtVUSomjikb5gQYLU5FRCQ86yPmQZCzd/Q3aGgah7UaRKiX9pEdjQ0FB69OjB4MGD2blz51+2X4VCofgvUDIgFArFayHBFI1eTslTeq9G0CLLZiIN16ii88vTk8fHmTJHH0iUssl72q21RkBvlNl/10gfL3XujT3kZCF8s2w6J0+eolP/NjgWs39p6rRKULEtcD8JMY/p1Kwb06dPx8XFBYCmTZty8OBBWrRo8dzN87PtqlQqDAYDKSkpyLLMoUOHmDFjBs2aNXtuX+3bt6dUqVLUqVOH6tWr52m+heGO4RJZcgaWwsvXK4uiiM5sRZx0nxJSeYqqSxZo30mmOGTkAtcJEQQBUVaTYHqAjdYh3+83Go2MGDECHx8fXF1dkWWZL7/8ksWLF6PX66lUqRKffvpp7jmF/5/jBQsWcOnSJbZs2ULVqlULNA9FjmQpAXi1dPviJZ0Z9/VHrF64kWVzVpGeqmfEpA+o17TOr14nouKxKQbbfHxefpmZ9MyyZctYuHAh7du3p27dunkOpJ2Pk1D/iUsKbKwfIKHjfqqZcnYCv0ppeoGkhGTGffAFH078AM8alTGbzSQ/fsLF0Cu4e1VEq9NgNkC8KQoHdYlCH/fvLXl68OABX331FYMHD8bGxoYPP/wQSZLo3Llzoe9foVAo/ouUDAiFQvGPZ5YlEqRodFjl+QJaK1hgIDPPT6nPxJkQBfKdnuxkCVcTZVKMOb9Or1+/DoBJyObW3dukPk7njba1gd+vn/AsrXrz93voXnM418NuU9mnHDdirlCiRIncJ+D+/v7s3LmT9PR04NdZEIIgkJqayqhRo2jZsiVHjhxhypQptG/fHicnp9xtHDlyhOjoaADKli1LcHAw/fv3z9d8C8JoziZBuo9WzvuTZlEUEWWBB8aIAu1blmUSpZh8P+X+I1osSTEnYJKNeX6P2WzOLfI5depU+vTpQ82aNQkMDCQ9PZ1atWoxb948rly5QlBQEPHx8cydO5du3bqxbNkyAGbMmEFmZmZu8cLXoZPVP126/Bg1r96ysIi9LcMmDOCLReNZsn3ec8EHADU60s3J+Tpfz4JPJ0+eZOvWrUBOEdr333+fadOmYW9vT1paWp62dSPJjM2f1LxFEIyoNXpUaMiWIEvK+3tjoh5y7ueL/DB3NdvX7MW5hBN9RrzHnk0HeadRXzxreLBxyXYWfb2UB7FRhT72Z8GHo0eP8vjxYwCCg4Px9PQkKyuL0aNH4+XlpSx1UigUikKkZEAoFIp/vFTpcU6HBDF/N48iqjw9pTaZZY5GSxR9vvbj70pPTkBUqbEq4oAoCMiSkVHjZnAlZBfVq1enePHiDJ/Sn8Zv1yYrI5PbVyKpWK3s72ZACIJAalIa18/cZMryj6hcswJGczYa0YJMOQ0d1gAMGDCA7t27c+XKFerVq/erp3bZ2dmMHz8eR0dHNm/ejKOjIyqVCi8vLw4dOkRsbCwBAQF4eHhQqlQp2rRpw8yZMwkMDCQlJQU7O7u/pLhhnOkeZiS0Yh4P9FMaLEgyx5FlzsBCtHqlfZswYMKApWD7Su//LUEQQBbIkvXYCC+vNfLsaTbA3bt3uXv3LqNHj+btt9/m9u3bjB8/nqFDhzJkyBBcXFwYMmQIAL169WLq1Kn07NkTtVpNv3798PHxYcWKFUycOLFQ5vJfJssyGeZUNIUQmLK2+ePPpoiIASMmDGj4/XUQv/yMQM4SqcGDB5OcnMyQIUNys2NGjRrFhQsXSE1NxWw2069fPzp16vSH32GjJD9tu1ngKf4utSaDnIwHAQHQG8Eij0lGGo0at/Ku9BvVk5HvjaOqTxXadm3Bzau36dC9DU3bvcH5k5fYum4n129dw7WkW4HG+ttjvGvXLlauXElUVBSVKlWiR48eeHl50b9/f/r3788PP/yAp6cnAElJSTg6OhZo/wqFQqFQMiAUCsVrIENOe3ppmz+ap08dXybdCNkm0OWheFpWeir3Lp7kZmgQxqxMYm5cJCXyEukmFSEhIQwYMIDNmzezYf0GqtZzp7irE6FBF4D/Z0DcC4/m7vUoDNk5T8/3rgkmO8tA5ZoVMBlNiIIaEwa2bd+G0ZjzGhcXF+rUqcPu3bvJysri4sWLTJ8+nbt376LT6UhMTMRoNHLx4kX27NnDoUOH6NevHzExMRw4cIBx48bx8ccfc/z4cTZs2ICtrS1vv/0248ePB8jNkvgzpZgfg5z/8yiKIjKgN796zYVsOfOVPkMvJmOQs/7wX395TFUqFTExMUyZMoXOnTvz3XffUbJkSW7dukXRokVZtWoVtra2DBo0iC+++AJZlvHw8KBKlSosXbo09zzev3+fzz//nHXr1mEwGJQq/QUkYcSMGVH4cy+HBEFAQHjaNvjXTCYTwK9ujAHCw8OpW7cuJ0+epE+fPlhbW9O+fXuCg4MJDAzk22+/pXnz5ty6dSt3H78n/WmSTn7aBueHSsxphczT/2ZLec/y8PB2R5ZlnIoXZfjnA9mxdg+7NuynpJsLj2ITAKhVvzqRN6OwK1rw4KFKpcr9nbphwwa6dOnCoEGDOHPmDG3atGHp0qWkpqbSvXt3GjdujKenJ3FxcYwZM4bQ0NAC71+hUCgUSgBCoVC8BsyYcttW5oeAgJmX31gbJfmFS5bNkpSbOm1hU4Sk2HvsWziROe/58CT+AU6uFWj4zhDGjx/PmDFjeOutt1jyzUp0Og1edSpz+0ok92/GkJWRTcBnyxnZbjI/ztrMtIHzAShdqSSyOWf7ao2aC0evMqLlZD4aMpqZM2fmjmPAgAHs2bOHQYMGMWLECERRZP78+axZs4YJEyZw9epVDhw4wIIFC2jVqhXHjx9n4MCBnDhxggEDBjBgwAA6duzIggULgJx0/sDAQLKzs1Gr//yEOOlpC9JXfj+mV36vjBmZwl+uIPN8EUCTyYQsy7+6ody+fTv169dn3759nD59mm7dumFlZcX58+cpW7Ys+/fv5+jRo2RkZHD58mUcHR2Jjo4mJCSEMmXKEB4ezpMnT9izZw+1atVCq9WyevXqQp/Pf82f8ZnIy/4iIiJYuXIlQO53b+HChTRp0oRVq1aRmJiIXq/n8uXLtGnThk8//ZROnTpx7NgxXF1dSU1NZcuWLSxdupQGDRq8cJ/mP3mKgiDzy1+g+VkV9OhhIn7+tbGw1OFd25NzJy8xb9L3xMc+4sje42xYupUR3cdia2eDnUORAo/10aNH1KtXj8jISFq3bo29vT0ZGRkAtGvXjmrVqhEeHs4HH3zA/Pnz6dKlC23atEGWZd54440C71+hUCgUSgBCoVC8BlRoMMt5q/b+SzIyqjysNNOqhOcu0g2Z+ty/i08Lwd2/EkrigztYWNtiaWtPg3eG4tWoPWpre5LvR2AwGDh16hTTpk0jS59F0OaT1GhYlTKVXZFMEolxSdy8dJedd5cz9cdPSElM5dCm40gmM8VcnTh39AqyLONYwoEJP3xI8OmDLFmyBEmSCA8Px9XVlZ49e2JhYcGRI0dwdXXl4MGDREdHU61aNdq2bcuePXto164dtra2BAQE0LRpU1q2bEn37t25du0akydPxsbGhlOnTlGuXDm6dOlCWFhYvo/tq9AI2gLc8OXtXP4RERV5LYyXv+3+v5XpM2q1GkEQCAwMpGnTpixfvpxOnTrx8OFD9Ho9CQkJeHl5UaJECUqXLk10dDSiKOLm5sahQ4dYuXIl7du35+TJk9y8eZP33nsPe3t7MjMzOXToEAkJCezbt+8vrd/xbyX8xZdBF89dIjs7m1u3brFixQoSExMxGAz069eP8PBwvv32W86cOcPUqVPp0qULY8eOZeLEibz77ruULl2akJAQIiIiGD9+POHh4Wzbto369eu/cJ8qEf7MOIssi7/afn4SLRyd7bl4+gofdBrF8Hc+pUnrBnR4txV3b0RSxM6Wuzci8Wviy7xN0yhRwiVP2/xtNldSUhL79u0jPT2dYsWKUaZMGdauXYu9vT3Dhg3LDeQ5OjqSkZGBlZUVDRs25NChQwwaNIiTJ0/yzTffYGPz8sK5CoVCoXg5pQaEQqH4x7MR7YkXIvP9PiNZ2KuKv3z7GiiihQyjjJVG4EH4eU5uWUz9LoNxrVKLh7evsv3rURgyM2jc6yNqd+iDtUMxboUdJuVRDJmWJckOP4kgCKSkpLBjxw48q3qyfclBLh+L4K2BbSjr4UpKYiqW1hZE346ldMWSdOzXkvCzt6jewBMHZzt2LD+AR80KuLoXRydaoom3wN/fn+PHjzNhwgTmzJlDnz59qF27Np6entSvX59ly5bRoEED9Ho9ERERVK5cmbVr11K/fn3OnTtHYmIiHTp04Mcff2T79u1YWFjw5Zdf4uvri5+fH+vXr3+FM/JqHNTFiZPu5ft9kllCFERsxVdff60TLAG5kGtdCGhkC86fP09SUhLNmzdHlmXi4+Np3bo18fHxpKSkcOXKFYxGIz179uTYsWMcPHiQLl26YGVlhbW1NatWrcLOzo4GDRowZswY3NzcsLGxISsri9atW9OrVy8kSaJKlSoMGjQIZ2fnQhq/QoUaFWrMslTg7ih/RJZlflywnu3rdlPJzYMxoz+lSpUqVK9enQ0bNjB8+HCmTp2KpaUlkyZNIiwsjISEBAYOHEjdunUBiI+PJzExEWdnZzw9PVm4cCE6Xd56atpqQBRAMsv5LrKbF5L0/3EIgIUq7/tQq9V41fIg+m4Mm0+sBMBoNHF4ZwhuFUrjWaMyAFlyOlrhxbVjftkNCHJq4+h0OkJCQtixYwcWFjm/T0ePHs2HH37I4MGDGThwIFWrVmXZsmVUq1aNI0eO0Lp1awBsbW1p0aLF0zlKiKKoLHlSKBSKQqBkQCgUin88G9EeDbp8dRyQZRkzZpxUpV76WpUo0KyMmkR9Toq/g0sZiji5cPvcUQCuH9+DX+cBjFx1khotuiKqVBQtVQ4BgRtnQhAFGNzjbezt7alduzY7d+6kTKlyWFpaUrqyCytnb2bb0v2IKpESbs48ismptt6wrS/6tAwunwrn4MZjnD54gT71PuLLAQuY/N68/7F33/E13f8Dx1/nzuwtEiQxIiEEISgxKog9vkZRbanV8lNF+63Vlm+LoqqqUrVaHWgVjd1YoXaF2CtEEhEhQ/a445zfH1duabX2aj/PxyOP6s2553zOlRz3vO97EN6kFWFhYdStWxe9Xs+aNWu4fv06nTt3pk6dOly9epVly5bx3XffERMTw4kTJ/Dy8mLx4sVs2rSJunXrMnPmTHr27En//v3Ztm0b06dPZ/To0Xz66afWN9OPo/8DgKfKDzVaTPK9lVIYpWLKqH3vuXnlzTSSDp1k80BlHDczmU2gKNiqHdBqtXz88ccMGjSIUaNGsXjxYnJzc/npp5+YOXMmbm5urF+/nipVqpCYmMimTZuQZZmioiLS0tJ49dVXadiwIe7u7gQGBuLg4EBRUREJCQlMmzaNDh068M477zB//nzRjf8hkyQJe5UTJu7+2nKv5k5eyG+/HmLa4vdZvepnateuTeXKlQkPD2fLli0UFRXh4+PDhAkTcHFxITY2loiICObNmwfAhAkTiIiIICQkhHHjxgHcdfABLNc3HycVBY/oFE0mO5AUlBv5TQ73OFDEq7wnYa2fAyzXIq1WQ9vurazBB0Wx7Fkv/bnJ5+nTp5k7dy5paWnW69n27dtp3bo1w4YN4/vvv6dbt26UK1eOI0eOUFxcTKNGjXB0dGTRokV4e3vTr18/Zs2axZo1axgzZow16HCzP45DFQRBEO6fCEAIgvDUkyQVnho/DErhXY+xM1CEneR011MP6pZVo9FoMJoVTu/eiKG4iNSzRzAWF5GbcYW4zStYNe0Nouf/j5VTh+Hi5YN31WCO7Yom/vsJbPtlHaNHj2bLli2sWLECO1s7RrwzlB7D2/LiqK4smx2FWqNGb6Mn4VQyOZm52NjZ4OBsz5Yff2X41P4s3vUxLbo3Zt+mOK4mZRIeHm69UbW1tSU6Opq8vDycnZ3ZsGED9erV48yZM7z22mskJSXRqFEj9Ho9NWrUsNYsL126FLPZTI8ePZg5cyYxMTHWefalozz/2PzuUVGrNHhrKmOkGPkuC9PNsiU44qMNfODjl1H7YOSvm0beLZPJhElVjJumHCrUbN68mR07drBy5UpatWrFlStXcHNzw87OjoEDB2JnZ8fu3bvZvn07VapUITo6mqCgIEwmE3PmzGHatGlMnTqVc+fO8cYbb/Dee+9Rt25dDh48iF6vZ/jw4bRq1eqB1y3cnqPKHfMjCkBcuXSV3Vv3894XowkJro9arcbJyQmVSkW9evVwd3dnxYoVXL9+nWvXrlmnnwB89dVXZGVlMXjwYI4ePco777yDVnt/40Kru0nWZpQPm6JoMBickTFgp7WUtN0Le0c7nF0c/9Q3pZSREhxVrqhvylA5c+YM3bp1o2fPnsTHx3P06FHAMjlk4sSJDBkyhKFDhzJu3DgOHTpEo0aNSElJ4ciRIwCEhYUxe/ZscnNzGTZsGA4ODowaNYpevXqJ0baCIAiPmAhACILwTPBQl8NFXZYi8u74BtGgFKFChZ+uxl9+aiXLsvUGHMBRJ/G8ey7zR3QlPnYHNg5OpCWc5sTOtXQcMY26bXsT2CiCSiFNSDy6j7P7NlOpRR88KlTi3J6NLFq0iI8++oiMjAzMZjNpaWlUdK2GreJM1Xq+VKnpR0zUPpp1bkhy/GUObre8Yc66lo2NnZ5Gberi4ePKoP/1Yuy0kbg4uZKVlcUXX3yBu7s7vXr14tq1a/z000+MHj2aqKgojh8/zokTJwgNDeX8+fOMGTOGc+fOMXHiRMaOHUtWVhbOzs588803AOh0OuD3jIebR3k+LpW0tXFUuWKQCu8YhDDLZgxSEX6aGjipPR742C7qsqhQY1buMQPDaCJ2dxw513MAUKlVJF+8zLgB/2PIkCH89ttvlCtXjlatWtGxY0fA8gn19OnTOXPmDIqikJuby+DBg9m7dy+dO3emcePGzJs3j7p16yLLMj4+PsybN4/nnrN8Erx27Vr69ev3wOcs3JmL2hMA5T76zNzsyqWr5Ofm3/KYjZ0eW1sbioqK8FCXu3Ecy899uXLlCA8PZ+PGjbi6uuLg4MDEiROpX78+1atXZ+vWrbi5uVGxYsUHWhdAPS8NZgXkR3RzXVBQHjMGKjrd+zWl9+DudOnb/i+v1SYMlFH73PLYsmXLaNiwISdOnOCzzz4jPDwcgIMHDxISEkLPnj0JDQ1l5MiRzJgxg4iICGxtbZkzZw6TJ08mIyPDGmzw9/enSpUqfPzxx8BfTxMRBEEQHg4RgBAE4ZkgSSr8tEG4qb0pJo8SpeCWGwZFUTAqJRTJuWgkLf66ejfq/v9MURRUKhUqlYrs7GzS0y3j3jzyz6M3ZNFo1CKa9J9AWM/XuXD4Vwpzs6gT8QI1m3eiYvBzeFaqRmZuEVqdDcO6tSCoejViYmKoUqUKkydP5urVq1SuXJlNa6OpaR+Gg8qF7sPbsvTTnwl+rhoNW4Xw/ayfWTL9J/ZvPkxZ3zIYlRIunb/M/Ld+IudiCbIs4+XlhaIofPnllzz//PM4OzuzcuVKMjIyKCoqwt7enri4OKZPn86ePXvIyspi+fLlODs74+joyAcffEDfvn2ts+tL31g/royH29GqtNS2aYmjyo0SqQCDXPKnQIQsy5QoRRilYvw0QVTW1X44x5Z0VNBUpYSCOwaxFEUhPzefrz9bxrrlmygsKMLe0R5FUYicPp9+TUdgb+vIlClTePnll6lcuTKFhYXMmjWL4OBgnJyc2LNnD0OHDiU3NxdZlikuLsbNzY0hQ4bg7u7Orl27kGXZupby5cvzyiuv8OGHH1K1atWHcs7CnWklPa5qL0oouq/nH9pzhJF9x/F/Pd8m/lTCLSVNqclp+PiXI/VcOraS459ubuvXr49KpSIqKorvvvuONm3aMHnyZEb79DxjAAAgAElEQVSPHv1Qpy6420rUdFeReX+neEd5Ba6YzDZ42N17msXf3fAblRL02OJwU/+X/Px8vvnmG1544QUADAaDNTNEkiQSEhKs27722mvs27ePgoICxo8fT0BAAFeuXGHChAnMnj0bZ2dnAD777DM+/PDDe167IAiCcO9EAEIQhGeGSlLjq6lOVV19XNSelFBIsZJHsZJPMZYmZX7amgToGmCj+r1e2Gg0EhkZycGDBwHLm9TU1FRGjBhBWFgY/fv3JzMzE19fXyp5udFMdx6TDCrvILLSr3Hu8F4Kig189U5vPu7bkNSL5zAkH6WT00Xidm8lPDycsmXLMnjwYOrVq8eUKVMYMWIE69atI+9qEdU0zxHRoi1Org4ciz1Bg7a1GD7jFcyKiTZ9m1He34vCa0ZObU6hvGMlPvxgMrVq1UKlUlGzZk0+/PBDXn31Vdzd3alZsyZ+fn5s3LiRevXq4e3tzalTpzAYDERGRuLi4sLo0aNp3bo1AwcOZNOmTdZGdk8LvcqGuvrWBGobYKOyxSAVUqwUWL+MUjFuKm/q6Fvir6/7UD+RdFV746b2/stMmtLHJEli1TfrmD5mNqeOnCWoTiA/LY5iUNc3OLLrFI0bNcZgMLBp0yaaNm1KtWrV8PDw4OOPP2bp0qW0adMGOzs7zp07R9OmTalatSrTpk0jPT2dgIAAypcvz7Jly1CpVE80ICRYeGkqIcE9Z8fsjznIJ+9G0qxNGEu3LyTkOcvvbWkQwr9GZTQ6NZePZ5Gfb8mOkCQJg8FAdHQ0Tk5ONG3alMTERAB69epFmzZtHuapWXWsosFgBoP54WZBKIpCWoFENdsgFFXJA2eS/L5fGaNSgq8uCNVNY5jT0tKIiIigqMgSTSnN7ALo0aMH6enp1hGnJ06coG3bttjZ2WFnZ8ekSZOIjIzEx8cHRVGsf0+enp731FdDEARBuH9iCoYgCM8USZKwl5ywVwVRTlMVk2KwjNuUNGjR/+lm9dSpU3z77bf4+flRq1YtAKKjo5k1axZhYWGcPHmSXr168cUXX9CxY0caNWrEmR2rmfjuexzxqc0LC65yeucaApt2QaXIuDs7MurNEaQlX2DR3E+oUaMGS5cu5Y033sDW1pZBgwYRERGBTqejdevWfPbZZwwdOhQXTUVqBYTwXGALzOoC6oTWwsXRDQc7B9Yv2MGl7QUE+9ZjyfYlHD9+nCVLlrB+/XqcnZ0ZOHAgL7/8Mo0aNWLmzJnExsbSrVs3Zs6cyc8//4yTkxORkZHWQENJSQnr1q2jU6dO9O3b97H/Hd0NtUpDBV0A5bVVyZEzKFRykRUzGkmDi6osNir7R3JcSZLw0VQDIMt8Bb1ij1qy/FOYcDYRSSVR0d8XSZIIDPbHydWJ9LQMVi5Zw6njpxkw/GW0OU6MenM0Xl5eJCYmYjKZyMzMxM3NDZ1Ox969e3Fzc6Np06aYTCa++eYbdu3aRZs2bSguLsbX15eWLVveUgIkPFl6yZbymgCSTaewVZzuOuiVeP4S/kGV6faKpfTGaDSh1WpQq9WWG1xtMeHNW3Lk19NMnDiRmTNnkp6ebi0DCAsLY8iQIWg0j/7tmLeDio5VNKyJN+Lj9PBKDdILobKLiube7qSZfbhmuoQtf872uBcmkwmDqpCyGj8cVC63fE+n05GZmUlqairVqlVDpVJhMBhQq9Wo1WrGjh1LTEwMS5YsITs7m5EjR2Jr+3s2nKIo1iw4EfwTBEF4/EQAQhCEZ5ZG0qKR/tyULSkpiYSEBFq0aIGXlxd79+6lR48evPvuu3Tv3p3AwEByc3Oxt7fc5L799ttMmzaNNm3a0KVLF3r06EFxcTEHDhygf8+OdO7cmdq1HXh54Uxravz169cZOHAg/fr1Y9myZezdu5fGjRvj6elJREQEUVFRvPfeeyxevJhXX32VlJQUunTpQq0yjVCr1ZxKPMXUDxbQrl072j7fkY8++ohhw4ZRXFzMTz/9hF6vZ+nSpSxatIg2bdpw4cIF+vfvT1BQEN988w3z5s2jSpUqxMXF0b17d+u5K4qCnZ0dkydPfjx/CQ9IkiRc1GVw4fGNlrRk0gThKLmSYorHoBSRk1ZAp7q9sXOwY+aSD2neLoxLCZfR6TR4+rgTtXQDGklH2rFc9u2Lxmw207hxY1JSUkhKSiI9PZ2LFy/Sv39/tm/fTvfu3YmLi2Pv3r1cv36dpk2bUq5cOfbt24evr+9DTa8XHg43tTcFSg6ZptS7voH2LFeGmA27+HLaV1xJuYqjswMAEV3D2bxhGwnHk/l48qe0btiRV199lZdeeom4uDg6duzIF198YS0BeFya+6hJzJE5li5TwfHBR9JmFinoNfBykA61SsJb8seIkeumNGxxQJLuPdFWVmQMqkLcNN6UpKig0u/fUxQFX19fqlatypYtW6hYsSL+/v7odDqKior4/PPPGT58OF27dmXXrl00a9bsT/uXJEn0eRAEQXiCpGeh229oaKgSGxv7pJchCMIzwGAwEBERQWZmJlFRUVSpUoUePXpQrVo1vLy82LdvH0uXLuXTTz8lJSWFqVOnotfrGTZsGD4+PowbN47Tp0+zbds2qlatett06FWrVjF48GBCQkIYNGgQJ0+e5OTJk/z8888AjBs3jtq1a9O7d28A9u/fT0BAgLUXQ6lDhw7Rt29fZsyYQWpqKlu3bmXHjh00a9YMtVrN1q1bOXv2LPHx8UyePJlFixaRmppKdHQ0Q4YMwdPT07ovWZafSFPJZ51BLiFHvka6+RLvDp3C+qVb8A+qyMQv/0tOdh5DO/wXGxsbatUKpl3b9hw9epR9+/bh5OREfn4+165dQ6VS0adPH7Zv384nn3xCYmIinTt3ZtKkSezYsYN169ZRr149MjMzcXd3f9KnLPwNWZFJMZ0l03wZPb9nx/wVg8HIDwtXE7P+V+qF1aGk2EDGtQzSr6VTqVIlJo+fjm8FP+v258+fx9fX95aygcetxKzw/UkjR9LNlLOX0N7j1AqwBAKuFoKdBv4vREdZ+9+vPbIik2ZK4JopCY2kRyvdubSh9PplUIoxYeTU1kS+j1xBfn4BPXr0IDw8nODgYAwGAzqdjnPnzrF48WL27t3L559/zpEjR1iwYAE1a9Zk+vTpuLq6WvdtNptFpoMgCMIjJknSIUVRQu9mW/WkSZMe8XIe3IIFCyYNGTLkSS9DEISn1Llz51i3bh3u7u64ubmRlZXFjh07UBSF8PBwnJycWL9+PaNGjWLu3Lm0bt2aChUqsGfPHrRaLQEBAWi1Wn788UeaN29OlSpVaNCgAf7+/rc9XnZ2Nj169ODVV19l6dKllC9fnvXr1+Po6Eh2djZff/01HTt2pHLlygBUqFDhlhTgUuXKlcPR0ZEVK1bQoEEDxowZw/z589m4cSMvvfQSv/zyC5UqVaJly5bs3LkTjUZDREQEzZo1s2ZvlBKf6N291NRUoqKiqF27NsgSDhoXymh8aPpcczZHb+Zy0hV2rT/Ar2sPYGNjg6+vL881fA6dTkdBQQGxsbH069eP/Px8aw3/t99+i0ajYfHixaSnpzN8+HAqVKhASUkJPXv2xMbGBjs7uzsvTniiJEnCSeWBVrIlR76GCSNqNH/5+6VWq6ndoCZdX+pAnedq0aBVLfxrVeT0notMfX8GlfwqI8uy9flubm5P/GZYo5II9lChU8GRdAWDDLaav7+GaAvzscnLRluQR0lhMZcNeoI8NAyqrcPD9tbApyRJOKrdcFC7kSdnUqwUICOjRn3bYyiKjFEqwUgxx/eeRUp1IHbnUV5/fSgvvvgikZGRXLp0iTZt2lhfO3d3d1q3bk1GRgZbtmxh3759jBs37k/lFvBkpv0IgiD82/zvf/+7MmnSpAV3s60owRAE4ZmnUqnYtWsX586dY+rUqYSFhXHp0iVyc3NZunQparWagIAAiouLad++PbNnz2bOnDn4+vqydu1aOnToQEREBHXr1sXD487jHhs3bmz9c/Xq1cnIyLB+GhcZGcnQoUNp2bLlXa29X79+uLi4MHXqVBwcHGjevDm//vorXbp0oVOnTsyaNYsOHTrw6aef4uDgYH2eyHi4dyaTCY1GQ2ZmJu+88w5t27alTJky1hvEcmUr0LtXH9atW4darebMmTPIsoyfnx8Gg4GkpCRcXFzw8fEhPz+f8ePH4+joyLx588jKymLgwIEUFRXx/vvvk5eXR8OGDZ+6BqDCnUmShIemHI5qV9JMCVw3XwUF1GjRoEUl/R5AkBUZM0aMcgmSVsJR5cax9Xux0zhSpbK/tdfA00arloiopCXIQ83P8SbOZ5tRS+CitwQjNEYDZeKPUfbUYVwuxaPLzaYENbICWknB10WLR1AlpMSa0LAheHn96RgOKheq6RqSL2eTbk4hT84ExZI9ISsKakmFrFiuY8d3nmfvxkOoZS0jR7YibHwzVq5cyaeffkrt2rWJi4vj4MGD1K9fH7PZjEqlQpIk3nnnHYxGo3UKBohroyAIwtNOlGAIgvCPcPr0adq3b8+qVaswGo3ExcVRtWpVLly4wNatW3F3d+ftt9/GZDLRoUMH9uzZQ1JSEpcuXaJLly6o1bf/dO5OJk6ciCRJPGg22ffff8/s2bPJzs5m6dKlNGzYkMLCQnJzc/G66c29ojx43fa/zR9vSI4fP0779u0JDg5m4cKFeHl5WW9okpOT6dChA2+99RYLFixg//799OzZEwcHBxRFoU6dOiQlJVGrVi369esHQEhICOvWraNChQoUFRVhNBpxcnJ6UqcrPGRGpYRs8zXy5EwK5FzMmAAJUFChwlZyJPVMFptXxbBx3SZ8fX2ZMGECDRo0eNJLv2tX8mUOppk5eykP952bCTy8DW1JMQYbO4rtHFHp9bjZqajgIOFmK6GSZcjPh5wckGWoUQO6doW/GR+rKDLFciFGSlBQMBlN2OscSYq/RIcOHWnRogULFy60rOfGqMy33nqLGjVq0LFjR/z9/Zk9e/ZfXgNFqYUgCMKTcy8lGCIDQhCEf4Tq1aszYMAAZs6cSa9evTh06BADBgygbt26rFy5ko0bN9KtWzdat25Nhw4diI+Pp0mTJvd1k3Dt2jW++uorVq1aRdmyZZk1axbwYMGBl156CZ1Ox4gRI6zTEUpHx928XxF8uHulgYfS4ENiYiLt27dHURTc3NyIjY1l2rRpfPzxx9YRfL6+vrRp04YjR44wfvx4+vbti7u7O7a2tlSqVInhw4ezZs0apk6dSmZmJrt376Zhw4a4uFg69dva2t623EZ4dmklPWU0PpThxuhGTCjISEio0SJJEp4VczhTPoGvvvqKkJCQJ73ke+btoKKz4QysWYDpejZFVb2QdXokCfQq0Kn/cO1Rq8HZ2fKlKJCYCJMnQ9u2lkDETb8Dpb+HkqTCVu1A9pU8PvnkE06ePMmgQYPo2rUrL774ImlpaRQUFGBvb8+5c+c4cuQINWrU4OjRozg6OnLs2DEyMjL+MktNBB8EQRCeDSIDQhCEfwyj0cjo0aPx8fFhyZIlfPnllzRr1oxly5YxePBghg8fzvTp0x/4OAUFBSxevJgmTZpQt27dB95faYDh5vFwwv0rLakovWG6ePEiP/zwA23atKFevXpMmTKFhg0bMmbMGPR6PW+++Sbdu3dHkiRUKhUnT54kPDycY8eOUVBQQOXKlVm0aBHnzp1jwIABVKtWjV27drFt2zbKli3L0KFDn/AZC8IDUBSIirJ8ublZggr3w2yGlBTw9obRo+EPgYKcnBxsbGwYMmQIjRs35rnnnmPs2LFERETQrl073njjDSIjIwkICABgwIABXLp0iZSUFD755JNbekAIgiAITxeRASEIwr+SVqtl4MCBbNiwgStXrlgnSrzwwgsEBwcTHBz8UI5jb2/PiBEjHsq+gFuyGyRJsvYqEO5NaSCnNIDz5ZdfkpiYSHBwMBcuXGDbtm34+/tz9OhRxowZw7vvvsvIkSPZuXMnPXv2tO6nRo0afPfdd3h4eFCmjGU8aLNmzfjtt9/Yvn071apVo2nTpmKUpvDsUxT46SdYvx58feFBrjtqNfj5IaelofroIxg/HtzdSUhIYN68eej1elq2bIkkSYSEhPDuu+9iMpkIDQ2lWrVqeHt7Ex0dja+vLzY2NkRGRpKQkECNGjWshxD9HQRBEJ594iouCMI/Sp06dRg4cCBGoxFbW1vrzfzDCj48DiL4cPdkWcZsNgNYgzfnz5+nV69ejBgxgpiYGJYsWUJKSgpdunTBaDSyadMm8vLyKF++PLIsc+DAATZt2mQtfQGIiIhArVZbb3YCAgLo0KED7dq1eyLnKQiPxM6dsG4d+Pk9WPDhJiovLygo4Mz48WyIiiIwMJDKlSszefJk6tWrx6ZNmxg7dixvvfUWW7ZsoWnTphiNRl5++WWWL19OdnY2YClnKg0+lP6Oi+CDIAjCs0+8yxUE4R9FlmW8vLxISEjA09PzSS/nnhgVmSzFiBEFFRJOkhoH6em4TMuKQr4BjDJoVeCgA9UT7EehKAqyLN+Skn3x4kXmzZtHUVERK1euxMfHhzp16qDT6Vi+fDmpqak0atSIgwcPMn78eBo2bGit12/evPkd07u7dOnySM9JEB6ra9dg6VIoX96SvXAfSst4b+4P8cv582y/eJEzycmsbNECJycna18Us9lMnz59sLGx4fnnn0dRFKZPn46npycDBgygfPnytzTdLSVKLwRBEP45no53toIgCA9J6Sdkz1LwIVcxccqUT5w5DwMyNwoyUFCoorKjjsaRcpL+idzwFxgVjlw1sy3ZzPViBUmyZG272UiE+6qpU1aNvfbhruvvmnmaTCZrY0m1Ws3JkycZN24cqampvPLKK7Rs2ZLp06dTsWJFQkJCcHJywsXFBVmW+f7775kxYwYjR45k8eLFpKen8/nnn+Pr6/tQ1y8ITz1Fga+/BpUKbGzuaxdmWUb9h4yE60VFDFm3js6Bgazt1w82bWLYiy/y7bff0r9/f1xdXRk1ahRdunTh2rVr1mlF06ZNAyAoKOiBT00QBEF4uokmlIIgCE/QOVMBv5gyUABnNOik39/Qy4pCDiYMyFRX29NS445WenwpyCfSTXx7yoTBDC56cND9HhTINyhkl1i6478SpKFmmQeLZ+fl5bFt2zbatm2LjY0NJSUl1skUgLU8ojTAZDKZ2LhxI/3798fPzw+NRkNWVhbdunXD1dWVlStXUlJSwtSpU/H19SU0NJSgoCB++eUXypcvT0pKChUqVLhl/yK9W/jXSEiADz6wlF7cQ2BzV1ISwWXL4nIjaJFXUsLUXbtws7WldZUq1PHyYuzWrexOTmb3gAFw5Qrm4GDKTprE7t27qVatGmBp5Hvo0CH8/Pzw8/O7r1MQYzcFQRCeHvfShFK82xIEQXhCzpkK2GBMxxENZSTdLcEHsJQ4uEpayqDjtLmAX4wZmB9T0PjoNRMLjxlx0EIFR+mW4ANYghEVHCUctLDgmJFj6ab7Ok5pbbejoyMnT57k9ddfZ/To0axZs4bTp08zatQoduzYYc162LNnD4GBgdSuXZvVq1czYsQItm7dSkhICFlZWXz77bc0btyYmjVrcv78eWJjYwkJCWHQoEH07NkTNzc3ZFmmQoUK1jIOELXlwr9MTAzodHcVfJAVhZl791J3/nxm7tvHr0lJZBUVsTUhgbCvvsJep6OSqyvdfvwRsywzomFDcktKOHHtGnh6oj50iB6dOjFs2DDL/mQZe3t7mjVrhp+fH7Is39J/5U5KPzgrDT4UFBTcxwsgCIIgPCniHZcgCMITkKuY+MWUgYukRX+HrAaVJOGJjnhzIcfMeY98bZlFCt+eNOFhJ2F3h/IKO61EGVuJb06ayCi8+5uIUqU3Edu2bWP37t1s2LABk8nExIkTCQ0NZf369Xz33Xfs2bOHiRMn0qdPH1QqFVu3biUwMBCtVsu4ceNwcnKia9eu5Ofn88orr2Bvb4+TkxOrV69GlmXmz5/P+++/j62trTXYcPPEDEH41yguhr17oWzZu9p8zoED7EpOZnn37qzp3ZvwSpVws7WljpcXm19+mS6Bgaw5e5ZLubl8cfAg5Rwd6RQQwGf791t7S0z/z3/o2rUr8OdgX2lw8e+UjiiG3/tNzJkzh3r16rFo0aJ7On1BEAThyXpk77wkSfKRJClGkqTTkiSdlCTpzRuPu0mStEWSpPgb/3V9VGsQBEF4Wp025aPAHYMPpSRJwkXScsiU+8izIPanmlAAW83dpWbbaiVkBX5LM//tdjdnHJSKi4tj0KBBLFq0iF69etGnTx+io6Mt69i/n/j4eGbNmkVYWBhlypTh+vXrSJKETqfDw8ODtLQ0Ll++TMeOHUlOTsbLywtZlrlw4QI1a9bk6NGjt9zcPAtlh4LwSKWmWnpA3EX5QkZhIRvj45kSHk6ghweKouCg0wHgYWfH+awsXt+wgUEhIazp3Zs5v/1GscnEy7Vrsz4+nit5eWBnh/OlS/c9uliWZeuI4tKMqcjISA4ePMjXX3/Nm2++eV/7FQRBEJ6MR9mE0gS8pSjKYUmSHIFDkiRtAfoD2xRFmSZJ0lhgLDDmEa5DEAThqWJUZA6b83C+x0uwjaTimmIgRS7GT237SNZWYlbYddmM+z3u3sMWdl4y09JPg17958BFaY+Fm5tLnjlzhunTp5OVlcXmzZsBSElJISEhgejoaIKDgzGbzTg7O6MoCq1bt2bDhg2YzWZ++eUXMjMzSUpK4ujRo7z66qskJycTFBSEJElUrFiRsWPHotFobunv8FfNLQXhX6M0AHEXnPV6souL0fwhQ0FWFFSSRFJ2NkEeHjSvWJH4zEwuZGXxw4kT9K9Th+iXXsLb0RFFo0GKjwdFQeHefwdVKhWpqanMmTMHWZaZMWMGW7duJSIigkuXLnH9+nUKCgpo3779Pe1XEARBeDIeWQaEoihXFEU5fOPPecBpoDzQBfjmxmbfAF0f1RoEQRCeRtcVE0bkP/V8uBtqRSJJLnoEq7K4kq9QYuK2QYS/o1dLGMyW59+OSqWiuLiY999/n0GDBvHTTz9RrVo1nn/+eUwmE9evXwcs4zABdu7cCVgyJJYsWUKdOnV499136datG1euXGH06NEkJCTQrl07PD09qVu3Lv7+/vj6+nL27FkWLFhA5cqViYuLE2UWgnCzy5dBq72rTYtNJhpVqMDu5GTAEjxQbgQfZEWhxGxGkiSGrFvH/3bu5L+NG/PcjeautW6UeEg2NpCdDQbDHYMPpRkON9u1axddu3bF0dGRgQMHAjBkyBAOHDjAli1bWL16Nb179+bXX3+965dAEARBeHIeyxhOSZIqAiHAAaCsoihXwBKkkCTp2ZmVJwiC8BAYuPdeCaU0EhQp9//8OykxK0iSAtx7poAkWZ5/u8aOBoOBgQMH4uDgwMsvv8yAAQOQJIm6dety9uxZNm/eTK9evShTpgw+Pj58+umnzJ8/n+HDhwMwbdo0+vfvT6dOnTCbzXh5edG4cWO2bt2KLMvMmjWLbdu2sWDBArKyskhPT2f69Ol4enoSGBiInZ3dQ3l9BOGZV1JiGb95Fxz1evzd3DiSlkZGYSEednbWIELMxYs0qlCBAHd3lh8/zpiwMIJv11dCkixfJhPcNNmm1M1jd0t7wiQkJODk5ISHhweJiYlUqlSJCRMmkJCQwKVLl2jXrh3t2rWz7qOoqIhLly7d6yshCIIgPAGP/GMhSZIcgFXASEVRcu/heUMkSYqVJCk2PT390S1QEAThMVPfx819KRnQPsIyArUkId3H+kp7K6hQrE3lzp8/z8WLFzGZTOTl5VFcXMyYMWNo3rw5M2bMYM2aNXh4eODv78/+/fspKSmhatWq1KpVCzc3N0JCQqhSpQrvvvsu8fHx2NnZkZSUhK+vL/Hx8SxYsIA6deoQFxeHn58fr776Ki1atGDkyJH0798ff39/Jk+eLIIPgnAztfquSzAAetaogVmWGRUdTVp+Plfz8xm+cSOf7t+Pi40NTXx9iezQwRp8kG+3b0m6bdBj9uzZLFmyBJPJMkVn+/bthIeHM3jwYMaNG8fly5fp3Lkzx44d44UXXmDy5Mm0bduWDz74AICPP/6Yli1bkpSURP369e/jxRAEQRAet0eaASFJkhZL8GGpoiirbzx8VZIk7xvZD97Atds9V1GUBcACgNDQUNE1TBCEfwwnSYPC73XU98KEgoekezQLA9xtJczK3a8tN+MKe1fOx7NSdco2fgEPOzUpKSlERkayYsUKgoKCCAoKYujQoWi1WsxmM2azme7du/Puu+9y/fp1GjVqxK5du9i7dy8tWrRg0qRJ9O7dmwMHDqDX6zl+/DizZ8/Gzs6Odu3a0apVK4YNG8bGjRtxcXEBYPny5dSvX5+PPvqIjIwMPDw8HtlrJAjPNA8PMBrvenMvBwemtmzJG5s28fbmzRy+coUugYF8360bLjY21u1Krxl/um6YTKDRWLMf9u7dy6FDh+jfvz/e3t788MMPdO7cGRsbG9avX88HH3xAkyZNqFmzJjNnzmTKlCkcOnQIGxsb6wSc+fPnA5Cdnc24ceNo1arVg78ugiAIwmPxKKdgSMBi4LSiKLNu+tZaoN+NP/cD1jyqNQiCIDyN7CU1VVV25GC6p+eZFQUJ8Fc/uk/0XW0kgsuoyLxDmwmT0UDUzNEserMLJQV56LwCqeZi4tShvQwYMICUlBQuXLjAggULiImJ4erVq0iSxMaNG8nLs4wSDQkJQaPREBAQwIcffkiLFi3YvHkzcXFxREVF4e3tzdatW5k5cybe3t6cP3+e0NBQGjZsSO3atRkwYACfffYZTZo0YdmyZWg0lpi6CD4Iwt+40aPhXrja2vJ9t27MaN2aY0OH8lGrVrjY2NyS7fCXAcv8fKhUidjDh3n++ecZOXIkhYWFbNq0iV69elFcXHhsuRoAACAASURBVExMTAz29vZMmzaNa9euERISQqVKlUhLS2PHjh3Y2tqSkJDA5MmTGTVqFD169ABgypQpIvggCILwjHmUGRBhwMvAcUmSjtx4bDwwDVghSdJAIBno+QjXIAiC8FSqrXHkrKHgnrIgsjESpHbATrrz+LwH0ayChqPXDH+7tvSkcxTmZDLyu/0gSaTkQXglHb52oVSsWBGj0UheXh7e3t60a9eO6OhoJkyYwBdffEH//v25fPky/v7+BAYGYmNjg4+PD127diU3N5dq1arx/fffs379etauXcvXX3+N2Wxm/PjxhIaGMmDAACIjI/n1119Zt24d//vf/2jZsuUjfU0E4R+jXDlLCYaiWEoj7uWpjo4AmGX59tkOt5OXB82bs3jxYvr27cvgwYMBS18YgE6dOrF27Vpat26NWq3m+++/Z/ny5VSrVo0WLVqwadMmQkJCWL16NRcvXmT16tVUrVr13s5ZEARBeGo8sgCEoii7+esuZuKdoiAI/2rlJD1BagdOmfPxVHR37A6fq5jQo6KBxvmRr83fReK5cmr2p5qp4Hj7IITZaODM3miQJI4cPUFlXTayjy/6gAA6dOhAdHQ058+fJyQkhB49etCrVy/ef/995s6dy88//2zt9bBkyRLS0tJo3rw5ZcuWJSoqCoD333+fUaNGsWLFCg4cOECrVq0oV64cy5Yt46uvvmL27Nl/akQnCMJdcHEBPz+4fh1cXe9rF+q7nSyjKGA2c9HVlcTERMaNGweAyWRCp7OUkvXv359Vq1axf/9+wsPDSU5O5syZM3h7e2NjY4PJZKKwsJC3335bTLQRBEH4BxBXckEQhCdAkiTCNW4EqOy5qhgoVv48fg4sZRcZigEV0E1XFifp0Q8vkiSJngEaGnirSc4xk1OiWJtMgqXhZPlqIfjVfZ6PetRm18f9Obrqc7r95z+88MILdOnShfz8fKZMmcLx48eZO3cu3bp1w2w2o1Kp6N69OxcvXmTkyJHs27eP1157jatXr3L8+HEAZFlm0qRJHD58mMLCQqpXr87p06dp2LAh3377LWvWrCE0NPSRvw6C8I8kSdC+PeTkPPpj5eZC+fJk3NRAFrCWSwHY2dnRunVr1q5dS1FREWPHjuWjjz6iefPm9OzZk88//5wqVaqI4IMgCMI/xGMZwykIgiD8mVZS0VbrQQWVDbGmHK4pBtSKZRKFgqXhpAQEqR1ooHF+LMEH69rUEn2qqanhrmdrkpmUPMt4TlmRsUzpVNF7whdUNF6gcYAX+Xl5VK1a1TrRomfPnkRGRjJv3jxcXFwYPXo0GRkZXLp0idDQUBwcHNi0aROjRo3C1dWVrl27MmTIEGJjYwkNDaWoqIjmzZtjNpvp1KkTZ86cwfFG+re7u/tjex0E4R+pdm1wdLT0Z3BweODdFRgM2Gg0t2ZGKApkZsILL1C/QQOMRiNr166lc+fOGI1GJElCrVaTlJTEsGHDaNGiBQcPHqRHjx4EBwcTGBj4wOsSBEEQnj4iACEIgvAEqSWJ2hpHaqoduCwXkywXU4SMBvCQdPir7bB9xD0fbmY2m1GrLcdTq1ToMk6Tt/5HKlWoQt1W3ZF0NujVEt72EhUcvbAMM/pdhw4dMJvNNGjQgNWrVxMeHk5ERAQjR47k2LFjNGvWjB9//JEZM2bQsGFDJEmiuLgYGxsb/vvf/zJx4kTat2/P9u3b0el0uLm54e7uTp06dR7bayAI/3h6Pbz6KsyeDXZ2tx2ReTdS8/K4nJvLuG3bmNu+PdVubgB79SrmwECk0FBUwPDhw5k0aRKdO3dGq9VaN/vmm2+YOHEigwcPtjaQFcEHQRCEfy6RzyYIgvAUUEsSvmpbmmhdaa11p4XWnWCN42MLPsiybFnHjeCDoijExMTQu3dv9Ho90T//QPTij6hgvEQDbzUVHCUkSaKgoIDTp0+zatUqwsLCSE1NJSgoiLJly1KxYkV27dpFTEwM9evXJzY2lho1arBs2TKOHDlCt27d2Lx5M5mZmQC89dZbvPfee5w6dYq2bduyfPnyO/bGEAThPoWEQOPGkJJyz0/dnZxMz59+osOyZdjrdDjp9exITMR04zpCYSGYTKgHDUKl1bJz507efPNNnJ2deeWVV9iwYQORkZGEhISQl5dHSUkJr7/+OrVr137IJykIgiA8baSb63qfVqGhoUpsbOyTXoYgCMI/3tGjR5kwYQJTpkzhyy+/pFatWgwdOpTjx48TFRWFra0tb7/9tnX7Y8eOMXz4cFJSUnB2diYuLo5ffvmFLVu20KFDBypXrsw333zD5s2bcXFxwWw2M3r0aCIiIgBLxkSvXr146aWXRI23IDxu+fkwYwZcuQLly9/VU7ZfvMj7MTEMqluXbtWr46TXs/7cOb6MjWVehw746HSW/Y0YwT6jkffeew+TycSaNWvIy8tjz549bNmyhezsbMaPH0/dunUf8UkKgiAIj5okSYcURbmrBl2iBEMQBOFf6OZSi1KjR4/m8OHDDB8+nNq1a1OxYkXi4+MBCAgIwM3NjYyMDEpKSjh37hxjx47l8uXLtGzZkl69erFjxw5efPFFTCYT7u7uTJ8+nZkzZ9K6dWsWLVrEjBkzCAsLA+DkyZNUrVqVbt26kZycjCzLIgAhCI+bgwO89RbMmgVJSeDjc8dyjPjMTGqUKUP/G2VRZlmmY0AAi+Pi2H7yJH29vFC9/jqq0FDKJiTwwQcf0LhxYwCcnZ3p1asXXbt2Ra/XP/LTEwRBEJ4+IgAhCILwL1QafIiKiqJixYrUqVOHGjVq8NVXX9GjRw8Aqlevzvnz5zly5Ah16tQhJycHRVHQ6/UsXLiQsLAwxo8fD0BOTg4ajYapU6eSlJQEWAIaW7ZsoVOnTrRo0YINGzbg6+vLokWL2L59O7NmzWLgwIFP5gUQBMHC2RneeQd+/BFiYqBMGXBy+svNyzk6svbcOab8+iuXcnOx12qp4OhIoEbDztRUWk6YQIUbAQdZlq3BB5PJZJ1+IYIPgiAI/17i4yZBEIR/uMuXL3P58uVbHvv5558JDg7ml19+Yfr06axatYru3bsTGBjIhg0bAAgLC6N8+fKMGDGCkSNHsnLlSho0aEBcXBwHDhxg5MiRgCWbwtnZmebNm+Pp6cmWLVsAaNmyJefPnycvL48pU6ZgNpt56aWXyMrKYsmSJdSvX//xvhCCINyevb2lKeU771j+PzER0tMtkyz+oI2/P22qVCEmMRFvGxu0BQWcSEzktE5HvLMzF4CtW7cSERFBjx49OHToEHDr6E1BEATh30v0gBAEQfiH27JlCz///DOfffYZa9eupXv37nz44Yd0796d6tWrExQURJMmTfjkk09YunQpGzZsYP369dbnx8TEcPToUfr27UuZMmVISUmhT58+rF69mjJlyljLJwoLC1m4cCGnTp1i/vz5mEwm3nzzTby9vRk5ciQODg4UFRVha2v7BF8NQRD+lskEp09DdDScOmV5TJZBkixfsmwt0zDa26Nt144Eb28+/eorjEYjUVFRuLm58X//93/83//93xM8EUEQBOFxET0gBEEQ/sX+2N/B3d2dZcuWsXnzZv773/+SnJzMhQsX6NOnDw4ODrz++uu8+eabALzwwgvMnTuX7du3Ex4eDkCLFi1o0aIFYEmp1mq11KpVi+3bt9OrVy8URUGWZezs7KhUqRIbN24kNjaW0NBQ2rRpg52dHQ4ODgAi+CAITzuNBoKDLV/FxZCWZmkqmZcHZjPY2ICnJ3LZsmjd3UGSWD1zJnl5eSxcuJBXXnnFWnYhCIIgCH8kAhCCIAj/EIqiIEmSNfiQnJyMr68v2dnZNG7cGCcnJ1577TVKSkrQ6/W0adOGGTNmAJbAwq5du2jevDkjRoz4y/2rVCo8PT2pVKkS27dvp1OnTtjZ2QGQn5/PhQsXKF++PNHR0YSGhtK5c+fHc/KCIDx8NjZQsaLl6yaKonDm9Gl+/Pxz1q5di6+vL+PHj0er1YrggyAIgvC3RAmGIAjCY2ZUZAwoqAAdKtSS9FD3f/jwYcaMGUNWVhYBAQEsX76cnJwcmjVrxtKlS6lZsybLli0jOjqaKlWqULVqVWbPnk2tWrWYO3funxrEyYrCNcVAvmLGiIwWFflXrjL7vQ8oLChg/PjxnDx50jq2c9y4cVSoUOGhntP9KFLMpMollCAjo6BFRRlJh5tK+6SXJgjPvJycHH744QcaNGhASEjIk16OIAiC8ATdSwmGCEAIgiA8BiZFIUku4pA5l1S5hNKQgwqJ6mp7gtUOeEo6pLsMRpSWPdxcalFUVMS8efPYtm0b/fv3p2fPntSuXZsRI0YwcOBARo0aRUlJCV988QVFRUUkJCSwfPlyzp07x7Bhw3j++edv2b8BhfPmAmLNuVxXjEj8vjYFBV1OIafmLSX9XAL5ObmMHj2a5uHhJMlFnJcLKVDMqJBwktQEqO0pJ+lRPUCwxajIXDQXcUkppkgxo0bCVdISoLa3BhUURSFDMXLcnM9Jcz4yCsqNFYMEKFRQ2VBX7YSvyhbNQw7+CIIgCIIg/NuIAIQg/EMpioyMGQmV5UvcPD0TzpoK2GHKokiRsZVUOKC2/t2ZFYUcjJgAL0lHG60Hrn/zCf3Vq1cpW7astdxCURS+++476tevT/Xq1Vm9ejXTpk1j2rRphIeHs3LlSiIjI4mOjiYxMZE2bdrwn//8h4yMDObOnYujo+MtP0elDSVT5WLWGtIpxowDGmxv/LzdfNwiZPIxQX4x/3H145ps4LA5lyJFRidJaG4ELAwomFBwljSEqp2ooXa4p0BEkWLmiCmPI+Y8DIqMRpJQI6EABmQUwEdlQz21E8lyEYdNeWgkcEL7pwCDoijkYaYYM56Sns66MjhID7casfQ1EgRBEARB+DcQAQhB+AdRFIVCJY9McwrXzVetn+faSU6UUfvgpPZALanvsJcHI8syACqVStxc3aNDphx2mq7jiha99NeTjxVFIQcTEhLddWXxVOlu+X5ubi5NmjTB29ubjRs3olar2bJlC+PHj6dcuXLY2tpSpkwZPv74Y8aOHUtwcDADBw4EoHnz5gwZMoS+ffuyYsUKTpw4wcCBA/Hz87PuvzTwAJBkLiTKmI49auxu/GwpimLtAfFHOYqRs+ZC3CUNPipbdH9xnkWKmRzFRJDGnpYad7R/83pYz1sxEWW4RpZiwAXtn/Zd+m9YLiYuyEXoFYlAlT2a26zzj64rRmxQ8YLeC8cHDELk5ORw8OBBWrVqdcdtFUWxNgoVv0uCIAiCIDzr7iUAced3aIIgPDFmxUyy6RTxhoNkm6+hxw5byREbHDAoxSQZT3K25ADFcsEjXYdKpUKlUpGTkyNumO7BaVM+O03X8UD3t8EHAEmScJG0qIHVhqvkKMZbvu/k5ISrqytXr14lKioKgGPHjtGjRw/WrFnDnDlzWLduHampqdStW5czZ85w4sQJALp3786PP/4IWKZcfPDBB/j5+XFzALo0sJAhG1hrTMfhpuBD6fpUKhUF2Tn88O5Ufvt5AwBmFFLkEoyKTIZixMRfB7VtJTWeko7T5gJiTFnIdwiAFypmfjZcJV8x4Snpbwk+yGazdV2SJJGnmCmWzeRgJhPjX+3yFq6SlmJk1hrSMSryXT3nj2RZRlEUHB0dmTNnDmvWrGHevHkcOHDgttuXBvA0Gg3p6elcuHDhvo4rCIIgCILwLBIBCEF4SimKTLLxFFnmNGxwRC/ZI924AZMkCa2kx1bliBkT8YbDlMiFD+m4CtevX7/lsfj4eAYNGkTLli2JjIzk0KFDD+VY/2QGRWa7KQu325QB/B0HSYMRmfGfz7KOugRITU0lJCSEbt26sWLFCgDi4uKoUqUKAJ6enrRr144vvviCLl26kJ2dzc6dOwEYMWIEq1evvuU4sizfNpj0mzkHCQm9It0SoDAZjRxaH82Xg97ExsGewLCGAKTJJeQpJpwkS8HFZbnkb89PJUmUQccJcz4X5aK/3XaP6TrZigkXyVKSkno2HrPJZNnPjd4X2xd9T8x3P3Ih8yoOkgY7VCTKRRQr5r/ddylXSUu6XEKC+f5+f1QqS2nKpUuXAOjTpw/Z2dlUq1bNuo35RrCkNPiQnp7OhAkTqFWrFq+99hrr1q27r2MLgiAIgiA8a0QAQhCeUtnmdLLNV7HF8W+zDnSSLQpmLpviH/iYiqKwe/duduzYAUBmZiYXLlzgyy+/pHnz5kRFRREbG8uXX375wMf6p7tgLsSI8pflCH/HBS25jjacOHGChQsXcvz4ccqVK8eZM2cIDAzE0dGRAwcO0KRJE9asWYPBYACgXbt25OXl4ezsTJMmTXjuuecAS7BBo9FYS2mA25dSmEqINxfiJKusN9Ypp8+Rm56JRqsl52oGCbFHCOvdDWdPD0yymStyCTaoQAIbVGQpRgx3yCZQSRL2qIk15fJXZYCFipnT5gLcsAQfLh4+RtRHnxG3cQsAx7bsYFyDViQePUFa+jV2j59BSXaOdaJIunx3WRAAdpKaWPNfr+Vmf9zm7NmzjBs3jq5duxIREYG/vz9DhgzB2dkZk8lkLbXg/9m777iq6++B46/PvVw2shRQFLc5UMFcJG7FlaNcuXeuXF810xy4F7lyZuaoFEdpbs29MEDFbSoKLlRQQdaFOz6/PxDStMJ+klrn+Xj4B5d7P5/zucD1vs8973PISBzGx8fTtWtXvv76a2bMmMH48eMJDAxk48aN2Y5XCCGEEOJtJQkIId5Aqqpy33QDnWKdrS0Pltjy2Pzgb1dBmJ4qZzeZTCxatAhfX1+GDx+OjY0NY8aMoUiRInTu3JmYmBgiIyPZuXPn3zrXf4GqqoSbHmPH3+vNoVUUKrZrTpHSJbG2tmbbtm3s2rWLDh06cOPGDapWrco333xDz549iYuLIzAwkEWLFhEYGEiTJk0A6NKlC++++y7wW7LhRUkHyEhQ/Pjjj/QbPjTj/BoNUafPMbttD5b1G873I8YTunEbvo3r4du4Puf3HwbgMSaMqFmL/ozfVZU4c/pfXqM9WmLMaTxQX5wouGxKzphb8WTBX7hCOQqWL8PV0FMAOLi68Omm72g9/lMuh53i7i+nOfNdxiLeCg131TRM2exxZIeWWNXAPfWP485M3jz993jhwgU6d+5MWloap06d4pNPPqFJkyaMGDECAAsLC7RaLTt37qRWrVqsWrUKS0tLihQpgp2dHUlJSQwfPpx33nkHHx+fbMUqhBBCCPE2kwSEEG+gNDWFVDURCyz/+s5kLooUHpliX+o8mZ/mPj3K0c7OjkuXLlGmTBmWLVtGvnz5sLS05Ntvv+WTTz5h586dFClShPXr17/Uuf5LkjHxUDVg+/94ibXFguo92nPp0iXatm3LZ599xuHDhylfvjz+/v7cv3+fc+fOsWbNGgoUKMAvv/xCUFAQzZo1yzpGdj7Rz2w+6eHhwYWLF0mJuo2iKFw6cpz32rRg3P6fMBkMbJ21ENVspmhFH65HnCU5PoGHqgHN706hQ+ERxr88r6IooKjcNOtf+P1LpmRs0aLRaIi5EsmqoWO4deFXbp6/RFTEWQpXKEfMlWtMbdIODz9fagYO4druQxhSUtEqCmZUksneNgxFUVBRufcn20cykzerVq1i2bJlXL16ldKlS1OyZEmio6MBSE9Pp1OnThw7dgyDISOx0q5dOz766CPS09NZuHAhAQEBtG3blqioKDZv3sySJUtYvXo1hQsX5uHDh9mKVwghhBDibSUJCCHeQAYyPol9mYaPGrSk89cVEGaz+blPcxctWkStWrWYN28eefLkYd26deTPn5+jR48CEB0dzbFjx2jYsCFJSUmkpaURERHB5cuXX/bS/hPSVBWFl/v5/Z4FCjX6dePXX39Fo9EwefJkjh07RmxsLCVLlsTb25t58+bh5ORE3759WbFiBXXq1AF+Szxk5/yZC+vY2FisnR2J2LQTs9nMjTMXOLV9D6Pfa4jO2oq+38zDxTMvhSuUAxXCN+/E8FT1QyYFBQPZa+ioVTWkPNWrIbMSByAFEzoUEuMesPqzCeQpWIBKLRqTlpTMiS27ADi39xB1+nfDp18nTGnpPIqM4vSK3xJjpj9piPl8LAqpT7aOZE6peFpcXBzt27dnzZo1REVF0bRpUy5cuED37t2JiYnhu+++Q6vVUrp0aby8vHB3d8fHx4eIiAgOHz5MkyZNOH/+PLGxsbi5uVGyZEkcHBxwdnYmNjaWESNGEBoamu14hRBCCCHeRq92+LkQ4pXIqGd42cWr+uSRLxYWFkalSpWyFpyZn3wHBQVx4MABJk2axKZNm+jbty8bNmzghx9+ICwsDH9/f0qVKoWPjw+dOnUiPDyczz//nNmzZ5M7d+6/fY3/Zq9qTogG6NWrF4MHD2bjxo0UL14ca2treHK7jY0N8Ftzw8yf6R8lHl40TvXkyZO0adOGunXrkhKfwPm9h2jcrzsWlpY8jL3D8E3f4eiW8XO+duI0Rd4tT953imJhqXsF168+83ueWYlz8uRJHuUy4prfk4TYB9y+eIWhP6x8cnCFE5t38ijmHlqdBWd37CNXaiJ3D4dRoXdH3H1KZ/vsL4o783nRarXo9XrS0tJwdHQkNjaWu3fvZjUFNRgM/PTTT7z//vvY2toyZcoU3nnnHXr37k1qaiq1a9dmxowZlClThsqVK+Pq6krXrl2ZPn06tra2DBs2jP/973+0b9+exMREatWqRbVq1f527EIIIYQQbwNJQAjxBtIp1qioWYuh7DBjwkaxe+H3zpw5w5AhQ5gzZw4VK1bku+++IyQkhBkzZhAdHU3fvn3x9/fH39+fkiVL8uuvv1KzZk12797N4sWLsba2ZsyYMSQmJpI/f37c3Nxe5eX+61grGlR4qZ/f7xkw46zoGD9+PPb29ly9epXixYtnfd/Lywt+d44/6vFgMpmyRqkCpKamZiUvtm7dyqBBgxgwYABTj+5g29KVHN+whZqd27J+/AzO7TtEYd+ybP1iIfev3+B/P6wgoG93NBoN18wpJP1u2oQZFats9r4wKWD/1KjPDRs28OWXX2Jra0uchUrDMUPInz8/xaq8y/kDRylTqxoeRQtx//oNTm7dTYuRg9m3KpiD23ZQpU9nCtV575njW2QzFWI2mzErGc0oFUXh8ePHfPHFFwQHB+Pt7c3IkSPR6/WULFmSU6dOUa5cOZo3b8748eP58MMPqVy5MgsXLiQyMhKj0YjRaGT58uXY2dnh6+vLtWvXuHXrFgAnTpzgq6++YsmSJbi5uWE2m6lXrx62trbZilUIIYQQ4m0mWzCEeANZKTY4aJwx8OL98b+nPikdd9L+lhgwmUxZpfheXl4EBASwdu1aAA4cOECvXr2ws7Pj2rVrWfvVAZo3b86SJUt4//338fPz46uvviIuLo6iRYtSoUIFST5kg62iJZ/GisRs9iB4kRRMlNHYY21tzeDBg7ly5cVTTv4owWEwGFi+fDmQUVmQOSry448/fuZ3ISkpiXPnzgFQp4wPhWtWJXzzDgq/W57Gg3pzOSSMZf1H4FakEJ9u+R7bXA5ZiQxXRffcNgcjKq7KH1dHZDI/+d0spLXJqiq4evUqQUFB7Nixg5Tb99g59yse3blL4QrlOLgyGACnvB5YWOq4eOgYj+/HUb97B1qvW4xnbb/fYlBVdIrmL5uA/n4rUn6NNXv37qVPnz7cu3ePX3/9lUqVKrF48WIiIiI4ePAg69atQ6vVUrVqVU6ePElAQADh4eF4eHiwY8cOKlWqhMlkIleuXKSlpTFq1CiSkpJo1aoVVapUoUaNGkRHR/P48WPef/99mjVrJskHIYQQQvxnSAJCiDdUHq0XRtKzkgt/Jo0UnLUe6BSrZxpLZi6snJycqFu3LpcvX+bIkSNoNBoKFy4MZCQcli5dmrXAtbOzo3r16kBGA72TJ08ybNiwP/x0XbzYu9pc6LPZC+H3jKqKBRqKajMWpkFBQTRq1Chbj42JiWHs2LHcunWL+/fvYzabMRqNfPXVV3Ts2BF/f38GDx7MN998w969e2nRokXWfcs7upGelMLti5c5sHwN5erXosO0sYzZ8yMtPhuE5ZPtH5lyKRZYocH45HfOrGZsqchOAuIxRopobPg1/BTLly/nxo0bfPrpp1y9epVy5cpRvaof8TfvEHcnhuodWpFw7z6zWndjrH9j3m3WkG7zpuKczwNQyKdYkf7Uc52OmbxYovmD5Ezm30jm7/SpoyH89PGnnDt6nAIFCpCQkIClZUYD2IEDB+Lg4ICHhwcFChTgp59+olu3bri4uPD48WOqVatG8+bN6d+/P9u3b+fQoUPExcUxY8YMVFWladOmzJo1C4PBQEJCAsuWLWPnzp3kypUrWz9PIYQQQoh/E9mCIcQbykHjgpu2IPeN0VjjgEZ5PgGgqirppKA1W+JpVQz47dPcHTt2MGvWLBo3bky9evWoVq0aRYsWpWXLllSpUiVrgfXxxx8TGRlJYGAgUVFRaLXarE/Oxd/npbHBlowmi7bKy43jfISB8loHrJ76mWf2d/gzer2e/v374+7uTuHChenZsycTJ05k3LhxJCcnc+nSJTp37gzA2bNnCQ0N5aOPPqJAgQJ88sknNG/enAfHTuH3cUcKeJcEQPe7pMPTFBTyaay4Zk7FXtWiR8VN0WHxu7gVRcn6vTSmp3Nyx16StGaafdCRR9bWREdHZ20p+emnn/jyyy+pWbMmtT5sxraFyyi92o8h674h+vQ58pYoRq48rs/E4aLREWVWMKnqk04oCq6a5yfImE0mNE8l5lRV5acZ8wjdtps+PXpSoUIF7OzsqF27NgkJCdy4cQMvLy8cHR3ZsWMHtWvXZtu2bURHR1O9enVOnjxJly5dmDhxImPGjKFYsWI4ODjg5+fHrFmz2LdvH97e3gQFBdGzZ8+sHhcmk+mZyTNChV5iwwAAIABJREFUCCGEEP8V2sDAwNcdw1/66quvAj/++OPXHYYQ/yhFUXDQuKCgIUG9j5F0lCdFS2bMGEgl9Gg4i8d/x91zCRjTzeTJkwdra2smTJjAjz/+SGBgILGxsUyaNClrAXTmzBl0Oh3btm3j5MmTpKWl0aNHD7y9valVqxZjxozBxcXlNV/920+jKLhrrIgwJWKBgkU2e0E8Ug04KjoCdK7onlrI/9FWi6d7QOj1es6ePYuNjQ0HDhygfv361K9fnx49elCpUiVCQ0OxsbGhVKlSaDQajhw5QqFChejevTtpaWls3ryZXr164dGqIfae7lgpf9zQMpOdokWvmolT07FSNBTV2j1zrZnJh7gbtzCmG1AsdUSEh3N48nx6tmxLsWLFWLlyJQUKFKBgwYJs3boVo9GIi4sLvxw6jNnKElc/H9xy5yG3V36s7J7frqBBQYdCjDkdswLvaGyx1zyfX1eeJHB++XErMZcjyfdOMVaPncqIZQvoVKUWRoMBVVVxcXFh+/btXL58mZiYGObOnYtWqyU+Ph4vLy/Onj1Lo0aNyJ8/PxqNhrJly7Jnz56M64yLY8KECcTFxdG/f3/8/f1xc3N7pvGnVBMJIYQQ4t9k/PjxMYGBgV9l575KdubEv24VK1ZUw8PDX3cYQrw26Woa8aa7PDTFYFDTCT90mmXTV6NVdXzUuh2JiYns3r0bNzc3Vq9eza1bt8idOzeLFi1izZo1nDhxgi1bttC4cWMGDRpE6dKl6dq1Kxs2bGDfvn1Zjf/Eq3fVmMw2YxxWaHBA+4cLepOq8hADTooFH1i6k0v58wK1K1euPNOUMvO2xo0bAzBq1Ci6detGt27dUBSFb775hi+//JLQ0FC+/fZbAPr160fevHkZMmQI9vb2WceJNafzQ/o9VFQcs7Gd4pFq4JZZj4NigbOqJZdGl3Wd10+dYcsXC7gXGYVLkYK816cz7WvWZ+PnU0hLS6Nx48acPn2a8uXLExAQwOHDhwkMDCQlJYXhw4fT5MMW7DDEEWVKxU7RYveC59CoqsSrBmLVdCyAQhpbLFBQVfWZxf75A0dZO2YKju55aNC/B+61KvPzZ9OIORJOWW9vEhISuHDhAmfPnqVVq1ZEREQAGSM4dTods2bNokKFCgwaNIiEhATmzJlDp06d6Nu3L9u3b8fBwQFPT08aNGhAmzZt/vJ5E0IIIYT4N1AU5YSqqhWzdV9JQAjx9tm5cyf9+/cnMjIy67bk5GQKFCjAli1bqFatGl988QUhISFs2LCBoKAg1q1bR2hoKMHBwXz33XesW7dOkg7/kDvmNA4ZHnL3yQLZHgu0TyY0pGMmCRMKUFJrh7+F819u2Th58iTNmzfn5s2bGAwGFi9eTM2aNfHy8uLAgQMcO3aMBg0aULduXW7fvk2pUqW4c+dO1qfy/fr1o0mTJpw7dw4PD48XjlN9ZDaw1RDLA9WADgVHLJ7pqWBWVRIwYnjSdLKJLjcPzAZOmB5zV03n/NbdlKj+HiErg3HI645v66as7zAAHj1m8/of0Ol0bNy4kRUrVqDX65k5cyb+/v5ARh+LvHnzZp3LqKpcNSVzwvSYWNUAqGhUJaPrg5Ix7aKs1h5vjT23zHr2Gx6gaDISPjrTk6oDrZafZnyJyWyi5oh+mFQorrWhhtkBQ0oqOp0OKysrvL298fX1ZefOnej1eqZPn06DBg2oV68eHh4ehIWFMXDgQH744QfGjRtHWloac+bMwcPDg3Xr1pEvX76sUaiy1UIIIYQQ/wUvk4CQOlAh3kINGjRAr9dz7949ANLS0rCzs6Nbt25Mnz4dgKioKFq0aAGATqcjPDyciIgIWrVqxdq1ayX58A/Kp7GiraUHHSzzUlrrgBGVeIwkYkKnKNSwcKanVX4CdLn/MPlw6dIlUlNTAahQoQL+/v706NGDzp07s2XLFkaPHs3Bgwdp0aIFDg4OHD58mPv37+Pp6UndunUZPXo0hQoVolatWuj1GdNVvL29X5h8AHDW6OhgmZdWlu4U1FjzAANxanrWvwcYSD5+hvCBE3HecwprvZHiFnYUjrjBuWHTObt4NblvPGDwJwOo7VWC72q2xlNrjYVJZdeuXeTKlYsuXbpQq1YtfvnlF86ePZt17qeTDwAWikJJC3vaW+alnaUHdSxcqGLhSA2dM411uelukZeUPb9grTdQXpeLj228KHU3hVUDRvJFx95s/nolceZ0cpUqwu6F37CoZkuW+TVj2Ud9iAgLx9rammPHjtG6dWtu3rxJ2bJl2bhxI+np6SxYsIACBQpQrFgx9Ho9p0+fJiAggOLFixMREcHKlSvp3bs3Bw8epECBAlnJB0CSD0IIIYQQvyMVEEK8pb799lsOHTrE0qVLSU9Px9LSknv37lGmTBnu3r3L9OnTuXbtGpGRkVSuXBlfX19at279zHQM8fYICgoiKSmJ4cOHs2vXLvLnz0+jRo3YvHkz1apVY8GCBURGRjJ06FBu3LhBcHAwDRo0oHHjxpw6dYo2bdr84SjP7EhSjSSrJgyohB44xLzJ09BptPj5+XHt2jWKFCnChAkTmDZtGkFBQcTExKDTZWzfGDRoEGXKlOHjjz9mxIgRHD58mODgYLy8vEhJSeHevXtZU1leRnJyMtOmTWPnzp1YWlpSsmRJ2rRpQ+XKlWnWrBkftWtH3dYfUKNcBcZ8MZ0rZ8+x88efSNPradGiBU5OToSEhHDlyhW0Wi21atViz549jBw5kkOHDrFp0yb8/PzYs2cP69ato2/fvpw+fRpXV1cOHjxIgwYNnmlo+fstH0IIIYQQ/wVSASHEf0C7du344YcfSElJyZpocenSJXx8fEhMTGTIkCG0b9+eTp06MWPGDNq1a4eFhYUkH94SJpPpma+9vb2ZMGECNWvW5NGjR/j4+ODp6cmpU6cA8Pf3R6PRsG/fPipXroylpSXHjh0jMTERX1/f/1fyAcBescBdY0V+jTW26WaiIq/x888/M2HCBBo2bJg1VrJly5YULFiQQ4cOAZCYmIiiKERFRZGYmEhSUhKWlpY8fvwYABsbm7+VfICMnheTJ08mLCyMo0eP8s477/DTTz9hZ2fH1q1b8fXxYeTH/dBpNASNHMOX02byw4YNWUmar7/+mmvXrmFjY4Obmxv79+/H0dGRWbNm0atXL3bv3s2+ffsYO3YswcHB6PV6wsPDsbGxoWHDhs/8LUlzSSGEEEKIvybvloR4S1lYWDBq1CimTp2adduePXuoU6cOzs7O2NraUrduXXr06PEaoxQvy2w2A7+V78fExAAZEy7Kly9PkyZN6NGjB5aWlowaNYp169YBUL58eYoVK8bhw4d59OgRrVu3pnXr1jg4OPCqK90aNGiA0WgkNjaW1atX07dvX2JjY/n5558pXrw4rVu3zorL3t4+q6FjlSpVKF68OFu2bMHb2xv44+ke2eHj40Px4sW5fv06APnz5ycpKQmj0UhycjKTJk3CbDbj6OhIcnIyLi4upKSksGXLFnbu3AnA0aNHWbx4MQ4ODpjNZpKSkjCbzRQuXJhq1apRrFgx1q5dy7Rp04iMjMza1iSEEEIIIV6eJCCEeIt98sknLFiwgPnz51OlShUiIiL46KOPXndY4iWFhIQwZ84cHjx4kHXb999/z7vvvsugQYOYOnUqLVq04Pvvv2fRokVARsl/06ZN0Wq1bNq0CchIQvj4+KCqKpUrV6Z8+fLA/2+R/yKKohAUFIS7uzsHDhxg7dq1VK9enU6dOhEXF0fjxo25e/cuoaGhKIqCv78/S5Ys4fTp0wwePBgHB4dXFsucOXP4/PPPAQgPD8fNzQ1bW1uSkpK4c+cOzs7OhIWF4e7uTpUqVahTpw6PHz+mUqVKlCtXDnd3d6pXr07evHlxdXVl3rx55M6dGz8/P4oWLYqnpycPHjygRIkSeHh4PFeZIoQQQgghsk96QAjxlhs5ciQXLlxgwoQJWQtO8XY4cOAAkyZNQlVVHB0dsbe3p0uXLnh5eTF27FgmTZqEVqulfPnyrF69miZNmlC1alW6du1Knz59MJlMLF26lO+//57Dhw//o7GbTCacnZ2ztlIAVKtWjQ8//JChQ4fyv//9jzx58jBy5MgcjUNVVVxdXXF3dycgIIBhw4ZRoEABbty4Qbdu3Th9+jSlSpWibt26dO3alQoVKnD27FkuXbrEhg0baN26NXXq1GHu3LlMmjSJo0ePUqhQIa5cuYKdnR2FChWifPnyrFixAl9f3xy9FiGEEEKIt5GM4RTiP0RVVenr8JbauXMnffv25fr166SnpzNnzhxiY2OZPn06er2eefPmsWHDBmxtbSlSpAgrVqxgx44dDBgwgKZNmxIXF8e8efPQ6/XPTY74J8ycOZOEhAQmTZoEQP/+/alTpw4tW7bk4cOHuLi4/CNxjB49mu3bt3Py5MlnRl8uX76c4OBgZs2aRZkyZQBYtWoVR48eZeLEiSxfvpzbt29Tq1YtypYty4cffsjSpUupVKkSWq0Wg8GATqeTvzEhhBBCiD/xMgkIi5wORgiRs2Rh9PZq0KAB6enp3L17N6u8X6PRoNFoOHv2LIcPHyY8PJz09HTy5s3Ltm3baNKkCYGBgdy+fZvRo0fj7Oz82uIfMGAA+fLlw8PDg+DgYJydnalRowbAP5J8yEw2NGjQgGnTpvHgwQNcXV2znkcnJyeKFStGQkICZrOZ9PR02rdvz7Bhw6hXrx579+4lNDQUOzs7mjdvzunTp59pJJk5xUP+xoQQQgghXg3pASGEEK+JoihMnTqV8ePHc+XKFfbt20fx4sUBSEtLIzExkdTUVM6ePYuLiwtnz54lPT2djh07MmLECFxdXV9r/NbW1vTu3Zvdu3ezcOFCtmzZQp48eV76OKmqiYdmA7HmdOLNBgyqOVuPy6x08PLywsvLi+7duwMZjTwVRaF27dpYW1uzadMm4uPjsba2xsLCgipVqtC9e3dq1arFzp07mTp1KlqtFo1Gk9UEVAghhBBCvHqyBUMIIV4jo9GIjY0N/v7+DBw4kA8++ACAa9eusWTJErZu3UqBAgUYNGgQjRo1es3RPu/vbk8wqyp31DQijI+JNKfy9BF0KJTX5qK01g4njS7r9qe3VwBcv36dbt26kS9fPhISEkhISODIkSMZxzebSVbM7I4I5+tZc3kUF0fV2jU5snEruWxsmTJlClWrVs06rkajeanr0CfAg18hLSnjayt7cH0HrB1f+qkQQgghhHirSQ8IIYR4i8yePZvExETGjh37zCLbZDIRFhaWtVD+t7hvTme7IZZ41YglCrmwQPPU4t+gmknAiBkoobWltsYZG+3zOwbXrFnDqVOnmDFjBsePH2fUqFF06NCBRt06EKZ/RJQmHRUVU0oa0aGnOL/7AMXrvEe1+vV4V5uLIqoV1jrdc8f9Mw8j4fpeuHUcVDNk/g+qAIoG8vtBkbrgXOTvPz9CCCGEEG8TSUAIIcRbRK/Xky9fPh48ePCv7zdw05TKJsN9LNHgoPx5GyKzqvIAA3kUS1pYurFi0RL27NnDp59+StWqVfn4449xdHRk5syZmM1m1q1bR9DiBXTY8S1WiiYrsfF0lYaqqqRgJlE1UkhrQyNdbmwU7Z/GARnJhstb4eKPoLUCOzfQ/O5hZhMk3wdTGpRqCSXeh3/ix2k2m5/pXSGEEEII8U96mQSEvGMRQojXzNramk6dOrF169bXHUqOijWn85MhFlu0f5h8MJvNWX0YNIpCHsWSn9f/SP22rbgeHU3ZsmWZM2cO+/fvp3fv3mzbti3jvhoNUaRz9cpVrm/ei5Oiy9rW8XRSR1EU7BQt7oolt8x6tqTHPtdzwmQyPfO1qsKlTXB+PTh4gkPe55MPkHGbQ96M+5xfm/GYfyLHrygKJpOJ48ePc+HChZw/oRBCCCHE3yRTMIQQ4g0we/bsf/Wn2Kqqst/wEC38YcWBqqpZz4E+OQVLG2s0Gg0p129x6ud9LI5dRVkLB2bPns2uXbsYPXo0Xl5ejBo1itptPmBvRCi+jeqSlvAY+PPpFYqi4KrquKOmccwYTw0L56z7Z26B2bp1K56enuSz8OXSJnAqCJps/K+p1YFTIbi0EVyKgXvZ7D9P2fH7XhjXrl3j66+/Jjw8nJo1a5I/f35y5cr1ak8qhBBCCPEK/Hvf7QohxFvk35x8AHigGrhjTiPX7/LeT0+dUBSF25eusKj7QL74sAvrxk4DoH6fbuTK7craI/swqyq+vr6kpqZy6tQpvv76a2xtbenTrQdOuXPT48vp1OzyUbZiUhQFJ7OW08ZE0vgtjuPHj1OiRAm++eYbBg8ezKyxX6PaJmcr+ZBJYwFWjnBlW/Yf81cyt0wqT7aV6PV6VFXl4MGDzJo1i5s3bxIZGUlSUtKrO6kQQgghxCv0737HK4QQ4o1wzpSEVnm+KiEz8XLj3EXSU1MJ/nwSpWtV4/Nd6/nlhy1sm7MY21wOVO/Qmq1fLiVGTaNixYq4urqyYcMGnJycGPj5ZwwM2ULzTz5+6USOpVaLWVE58eAO48aN48aNG6xfv57Ro0fz448/0q/bMC5evkD4vY0vfc02LhD3KyTeeemH/iFVVVmyZAnvvfcen3/+OZcuXaJKlSo4OjrSqVMnli9fjpub26s7oRBCCCHEKyQJCCGEEDlKVVXOm5JIvhTFlqD5/HosNOt7ty9dYdXQMawYNIrEuIf0X7WI3F75mdKoDfauzhz6dh3Jj+Kp0akNcVeus+tUGPb29tSvX58ePXpgb2/PNWMyKjwzSeOPmH/X38FsNnM46Cs+HTCY9PR0vLy8SExM5Pr16wAU1lXHw6EIcYm3MP+uV8RfUZSMf3dOvNTDgIznzGw2YzAY+PHHH58cT2HZsmUcOXKEIkWKcOjQIbp06cLFixcpU6YMCxcuJCgoiGHDhv3r+4kIIYQQ4u0kCQghhBA56tTZMyz8sBvL+gwlPVVPVMRZHsc+4M6vV/hp2lzuXr3O2L0bcS3gCcCuBV/z/v/6MfHIdswmE/uXr8Y1fz6KvVeJo3v2AeDn50e5cuUASMKMVs3euAnNk94J9yKjSHr4CI1GQ9Ld+1w+HsbUqVMBqFmzJg8ePODRo0doU514lH4747GKhpedHKW1gpT7L/UQICPZoCgKFy9e5NChQ9y7dw+Ac+fOcfLkSVJTU4mNjeXWrVt4eXkxcOBA8ubNy+PHGf0v1q1bJw0phRBCCPHGkQSEEEKIHLVy+QoKVanA+INbaDlmGHV6dCRXHldye+WnaGVf0pJT0CenAHAv8joWlpY45/PAaDDg6JaHk9t+xpCWRqvpo2k2pO9zxzejvnDcpT4pmbSUlGduiwyPYGK9D/lm4Gf8MDGIm+cv0WBAL8xmlWvXrgFQqVIlHj58yPDhw9kfvolL947h6VIc+PPGli+iaMBk/Ov7PT15w2QykZqayujRo+nYsSMajQZ/f38ePnzI1atXSUxMxNXVlZIlS+Lr64ujoyMBAQF8+OGHPHz4kPLly6OqKqVKlXqpWIUQQgghcpokIIQQQuSYU6dOcfzYMWoN6IH5SfWAzsqK+9eiMejTKFuvJp6lSnD25wMA2Ls4U7BcGZb1/5TxtZvzXpsWfLJqITorKzRWlti+YIKGDVqML6hMOLvnIEfXZPRuuHXxMgDhP+2g1bhPGbktmEtHfmH3ouVYOeXi3RYNmTVrFgAlSpQgKCiI0qVL83PEGlqWG0nN0i3/1vWbDRnNKP9IZuLh6akWWq2W+Ph4oqKiqFKlCrVr1+bq1avs3r0bV1dXEhMTiYqKYvTo0XTv3p3PP/+c+Ph4ChYsyPHjx9m4cSO9evV66WSJEEIIIUROkzGcQgghckzu3LmxsrLCVW8mydaEeu8RGybM5MTWXXjXqUG/5V+St0RRLh8Po8L7Abjmz0fzEQPxKleaYpUr4ODqknWsdFQ8FavnzuGptQKTmjVRI7MRZe6C+fm633D2f/Md3nVqUKdHRxLux7J/2XesHTOFguW9af7pAEyOdnTs3o1p7Xpy9+5dPDw88PDwYMiQIXSorxDyxd+/fpMB3L2fve3+/fuoqoq7uzsajQaTycT+/ftZuHAhXbt2pUCBAgQGBhIWFkbu3LmJjo6mbt26XL9+ndGjR3PixAlSUlIYNWoUJpMJBwcHkpKS8PPzw9fXl9KlS//9gIUQQgghcpBUQAghhMgxlpaWlC1blqQDYegxgaJQLqA200/u5+KhY9yNvE4Jv0o8uHWHS0d+yXqcb6N6zyQfjKoZHQpFtbbPncMDS5ywQK+oGQt6Y8aeh+snzmDv4kwhn7K0nTgSawc70lNSUTQaBq3+ij5fz8G1gCf3rkbSpGwlqlatyvHjx7OOqygKeUplVDAYUp477V9KTwZrR8j91E6IhIQEFi9eTFpaGqqqcuDAASZMmEBwcDAeHh5s3bqVlStXEhsbS3JyMrNmzWL37t1MmTKF5cuXYzQaGTJkCBYWFtja2hIfH0+hQoXInTs3RYoUkeSDEEIIId5oUgEhhBAix7i5uVG4cGHOHThKuYZ+WOdxoVLzRgCUrlmNh7diKPJueVp8Nhgv7z/uWRCPCV+tPVbK83lzjUZDJQtHNt6/xqEJc7h3LYp3mzag3sddKORblm8GjMBoMODg6kKBsqV5ePsO965FYzQYWflZIG5ubjgtqMHSpUuf2QoBoLGA4o3g7BpwLpz961ZVSL4HZTuAolExm1UURWHVqlWYTCbu3LmDu7s7t2/fZvr06bi5udGsWTNu3LhBamoqbdq0YenSpQQHB5OYmMiVK1e4f/8+o0aNYuPGjdSqVYtTp05Rs2ZN8uTJk/3AhBBCCCFeI6mAEEIIkWMURaF9+/YYjUY2fzyCMydPcmj1BqY2+QgAr7KlsLa3+9PkQ4pqwgIoZ+EAPNuwUVVV0tLSOLluM7uHTkDn4cpHkz9nfeAMfj0WSpF3y+OaPx97lqwEIKBvN0r4VWLXwmV80aYbBSuW55vZ89Bqtc8lHzIVqgUuxeDxrexfd+IdcCkBXtXNKIrC999/j4+PD0eOHKFo0aKMHDmSHTt2UKVKFVxdXZk1axa9e/dm165duLq6EhkZSa1atXB0dGT9+vVcu3aNoKAgEhISAChatCitWrWS5IMQQggh3ipSASGEECJH5cuXj9mzZzN37lwOf7mKWw9iafHpAMrWrPaXj01WTaRiopnGFUdFh9lszkoUXLx4kcKFC2NtbU3Mrds8PH+F5iMHoS3hRUD/Huxd+i3vvFeZml0+Ys3nk8n3TjGuhp6k+YiBFGlYE2vHXLSwdCOfxvpPY7CwhioD4fhsiI8CB0/Q6l58X1M6xN8y4lrUgioDwNJWQ1RUFLNmzaJYsWJMnDiREiVKcO/ePY4fP05MTAyenp706dMHb29vVq1ahZeXF/369aNDhw5ERUXx1VdfYW9vj6qq9OzZ82WffiGEEEKIN4YkIIQQQuQ4R0dHxo4dS2JSEhesjIQYE3igpuOEDu0LpjWkqWYS1HTUZD1HBk0gyj0vs2bNQqPRcPr0acaMGUN0dDTe3t40adKELl26cOXKFTx/vYtHKW/S+3fhy4YfcSH8JOUa1+fikV/YPn8pVXt15IHWhJdzbmpbuJBbY5mt+K0dodoIuPQTRO3LaC5plQssnvTENKZBfFwiZ+7/TOvOTSjbygILa5WdO3cxY8YMLl26RIsWLRgxYgQNGjSgTJkyLFu2jGLFinH37l3s7OyYMGECNWrUICwsjEmTJuHm5obRaCQ5ORl7e3uZaiGEEEKIt56ivmB02ZumYsWKanh4+OsOQwghxCty35zOWVMi501JmFFRVAUFMAMoYI+WCha5KK7YUCK/F+7u7ixfvhxfX1+mTZtGQkICU6dOZfv27QwZMoTw8HAWLlxISkoKffr0wcnDjY49e3A3JZGOy+eQnp6GvaU1xbW2lNHa45rNxMOLGFIg5iTcOAL6BFBVMzZOGu45HmVEUBfq1K3DzZs36dKlCzVq1MDS0pKxY8fy/fffk5ycTIkSJbCxsSE6Oppu3bpx+fJlHj58iIeHB/Xq1WP+/PmMGzeOVq1avaqnWwghhBAixyiKckJV1YrZuq8kIIQQQrwuKaqJG2Y9SaoJg2rm7IHDhGzewej/Dado4cLcunWLoKAgUlJSsLGxYe7cubRv356uXbsSEBAAQP369enYsSNVq1Zl9uzZ1KlThzZt2vDgwQNiY2MpWbJkjsRuNpvRaDQcOHCAiRMnotVqSUlJISIiglGjRjFq1CiMRiNnzpxh1KhRtGzZEkVRWL16NXPmzGHQoEHcvHmTlStX8ssvv7Bnzx4cHR0ZPnw4FSpUyJGYhRBCCCFetZdJQMgWDCGEEK+NraKlpNYu6+vHZkv6LFiMs86awMBAnJ2dOXfuHEOHDmXp0qXcvXsXd3d3wsLCshIQbdq0Yf/+/XTq1Im8efNm9UtwdnbG1dU1x2LXaDL6OO/YsYMTJ04QFRVFYmIiAwcOpFy5cgBYWFhw8OBBtFotvXr14pdffuH27dusW7eOtm3bEhERQbVq1ahWrRo9e/YkV65cORavEEIIIcTrJgkIIYQQb4yAgAA8PT3R6/UsWLCAzp074+fnx9WrV3n33XdZuXIlQ4YMoV27dnh5eeHj48O2bdvo1asXGo2GUaNGodNldIjM6Z4J69ev58iRI8TGxpKWlsb//vc/KleuzNWrV/niiy/w9fXFwcGB69evc/jwYQYMGMDRo0dp0aIF165dY9OmTSxfvhzImOYhyQchhBBC/NvJGE4hhBBvDEVRmDlzJvHx8VSoUIFu3brh5OREqVKl8Pf35/Dhwzg6OjJlyhRCQ0Pp06cPVatWpWHDhgBZyYdX5ffbFPV6PZcvXwZg1apVhIWFsXr1aubOncvy5ctZuXIl8+bNQ6fTceLECbp3705SUhKrV68mf/78tGjRgv3791O+fHnsQO7XAAAgAElEQVROnjxJpUqVsq5bCCGEEOLfTnpACCGEeKMYjUY8PDyIi4tjzJgxzJ8/n++++466devyySef4O7uzuTJk9Hr9Vhb//kIzVcls9/D/PnzCQ4O5siRI+zdu5fu3btz/fp1VFXF3t6eXr16MXr0aEJCQli/fj3bt29nypQp9OnTB4DU1FRsbGz+kZiFEEIIIf4J0oRSCCHEW2369Omkp6czZswYtm/fTqFChShdujQhISEA+Pn5oarqK68cMJlMaLVaIKP6wWAwsH79eoxGI126dMFsNlOlShVmzpxJrVq1aNGiBbVr12bQoEEMHz6c/fv3065dOwYNGsS9e/fIkycPFhYZux0ze0YIIYQQQvybSAJCCCHEW02v15MvXz4ePnyY4+cyGo1YWFhkVTkAXLx4kSJFimBlZcWUKVN4/Pgxffr0oVChQkyaNIkLFy6wevVqtm7dyuTJkwkJCUGv15M7d2727NlD1apVczxuIYQQQog3wcskIOTjGCGEEG8ca2trOnXqxJYtW3Lk+KqqkpSURMeOHfn000+BjAqF06dP06xZMz766CO6d+9OcHAwnTp1Ijk5mbCwMAD69+/Prl27CA0NpXHjxhiNRrZt24a1tTU9evQgNjY2R2IWQgghhHjbyRQMIYQQb6TZs2fn2LYFRVGwtbVl7969uLu7c+rUKXx9fdmxYwdlypRh8+bNbN++nSFDhhAeHo6XlxcnTpzg/fffx9nZGUdHR5YvX07lypXZunUr7u7uOR6zEEIIIcTbTt4lCSGEeCO96oX8vn37GDhwIFFRUQDcuXOHtm3bUrlyZVasWAHAmTNnqF27NgCNGzfGy8uLH374gQ4dOpCYmEjDhg0JCAigX79+DBkyBCAr+fCqYzYbQTW/ssMJIYQQQrx2UgEhxFvErKrojaDTgE77Zo7ty2zilxMNAoX4/zAYDMyfPx8LCwsCAwNxdnbm3LlzDB06lKVLl3L37l3c3d0JCwsjICAAgDZt2rB37166du3KF198wapVq6hXrx5FihTJkRgTY+DGYYg6AIYUQAF7DyjWEPJVBEu7HDltjjKbM7IoUhkihBBCCGlCKcRb4FaimZA7Jn6JMWF88oloMScNtby0lHTRYKF5/Qv9pxMOTzfzE+JNoaoqXl5eNG3alAIFCtC5c2cWL16Mm5sbjx8/xsLCgnbt2tGuXTv69OmDj48PY8aMoXfv3jRq1ChHYzMZ4My3EH0IFC3Yu4NGl/G99CRIfQBaS6jQEzwr52gor0zm+4vM14XExEQcHBxeZ0hCCCGEyAHShFKIfwlVVdl13cDMsHR+iTHhagP5HRQ87SEm2czS0wYWnEonKf31JBKfTmAqikJaWhrBwcGUKlWKkydPvpaYhPgjiqIwc+ZM4uPjqVChAt26dcPJyYlSpUrh7+/P4cOHcXR0ZMqUKYSGhtKnTx+qVq2aVQ2RU8xGCF8E0QfB0QscC2QkGxQl45+VAzgVAmtnCJ0PN4/laDj/b5kVD4qioCgKDx8+ZMiQIVSpUoVJkyYRERHxzP2EEEII8d8hFRBCvMH23TDy42Ujng6ge0GVg6qqxCSDl4NCP19LLHN4W0ZmlcPvP9kESEpKYty4cRw5coS1a9dSqFChHI1FiL/DaDTi4eFBXFwcY8aMYf78+Xz33XfUrVuXTz75BHd3dyZPnoxer8fa2vofienKDji7BpwLZyQc/jR+PSTfhzqTwSHvPxLe/8v06dPZvXs3zZo1o0WLFqxYsYKdO3cSEhLyukMTQgghxCsiFRBC/AskpatsjTTiaf/i5ANkJADy2sG1BDNnY005Gk9KSgopKSlZ51UUhfPnzzN16lQOHTqEvb097777Ljdv3sTDwwN4tkJCiDeBhYUFw4cPZ+LEiUycOJHvv/+ewoULZ43QfP/99wGwsrL6R+IxGeDK9oxkQnZaplhYA5qMaok3VUxMDLNmzSIqKopq1apx/vx5fH19KViwIOPGjSMmJoYDBw4A8hohhBBC/NdIAkKIN9Sp+ybM6l83m1QUBScrhb03TDn6Zn7IkCGMGDECyGjmFxQURO/evXF3d2fs2LF8++23VK1alQYNGrBu3TpAFhfizTRo0CBmz54NZEy6KF26NAB+fn74+fkB/GMNVGPPQ3oi6Gyy/xh7N7i+HwypORdXdhiNxme+PnPmDJDRbPLUqVPs27cPf39/3nnnHW7evJl1v7Zt27J3717gn3uehRBCCPFmkASEEG+oiPtmHCyzd18HS7iTpPI4/dXGYDL9VlXRrVs3QkJCSE5ORqfTkZ6eztKlS/Hx8eHKlStERkbi7OxM3bp12b59OyBd78Wbydramk6dOrFly5bXHQoPI39rNpldWsuMvhHJ93Impj8TERHBrFmzgIxqEoAbN24QEhJCnz59iI6Oxt3dnerVq3P69GkePHjA4MGDmTFjBiEhISQlJXH58uUcb+ophBBCiDeTrA6EeEOlGlUssvkXqigKGgUMpldTcZCZeNBqtQDEx8dTtWpVChUqxJIlS0hKSiIkJIQPPviAKVOmsG7duqyxhlWrVuXx48cEBwe/kliEyAmzZ8+madOmrzsMjKmg0f69x5oMrzaWPz3Xk9cEa2trhg0bhsGQcfK2bduya9cuChcuTOXKlVmzZg0ADRo0IDk5mZ9//pkPPvgAOzs7Zs6cSb9+/XBxcaFMmTL/XPBCCCGEeGNIAkKIN5SDpUJ6Nts6qKqKqoK1xaspZ85MPOzdu5eWLVvSunVrAHr27ElwcDD29vY4OjrSu3dvNmzYkLXPe+3atRQtWpTBgwfz3nvvvZJYhMgJb0p1js7ubyYSVLDIwTYVmdunzGYzqqpmvSaULFmSxo0bExgYCEBcXBydOnXCw8ODgIAAQkNDefjwIQULFiQlJYXg4GAeP35Mv379iI2NZfny5SxbtgxHR8ecC14IIYQQb6w34x2YEOI5FT00JGdzYfIoDYo6abC3fPkEhNlsfm4cXlRUFN7e3vz444+ULl2a0NBQoqOjadSoEY6OjmzcuJEBAwZw4sQJevfuzdChQ2nbti0XL15EVVUCAgLw8vJ66ViE+K/JUwrUl+wfa0jNSFzY59AUjNTUVNLS0oCMRI2iKFy4cIHJkydz584dAgMDWb58Odu2baN169ZZ00J8fX2xsrIiKCiImzdvoqoqnp6exMbG0rFjRy5dusTRo0eBZ7d3CSGEEOK/QxIQQryhvHNrsdRmbMX4M6qqkpgOtbxero47o2pCRaPRoNFoiI+Pz/re+fPnadSoEQsWLGDixIm0bNmSkSNHAtCjRw++/PJLqlSpwsyZMylTpgwuLi4cOHCAwMDArE+WpQGlEH/NtQTYukFaYvYfkxILRRuA9iV7R2SHXq8nKCgoq6GkyWRi4sSJdOjQAa1Wi0ajoWLFinh7e9O0aVPOnz/P+vXrSU5OJm/evIwdO5bz58/TsmVLmjVrxoIFCyhatCgAX3zxBU5OTsBvVVZCCCGE+G9R3oZFQsWKFdXw8PDXHYYQ/7iI+0aWnTHgZqdg84LtFWZV5VYiVHDX0Km0Du0fjOv8M7GxsUyZMoWNGzfSp08funfvzvbt21m3bl1WM8nIyEh8fHy4efMmTk5OlClThkmTJvHBBx88G4/ZnDWiUwiRPTeOQvhicCr01/0g0hLBmAJ1JoONy6s5//nz5wkODqZ8+fK0atUKgOjoaPLmzYtGo6Fz5858/vnnz/RtOHz4MA0bNmTbtm3MmTMHRVHw8fHhs88+Iy0tjVy5cmXd12g0ZjWsFEIIIcS/j6IoJ1RVrZid+0oFhBBvMB83C7qV1ZGgh5uJKonpKgaTit6oEpOkcjtJpUpeLe1L/XXy4UUlzzNnzqROnTpUqlSJzZs38+DBA+bPn0+HDh0ICQnh6tWrQEZiwdXVNav7/YYNG55JPjxdTSHJByFeToH3oERjiI8G059Mskl9BPp4qDLo1SQf7t69S6NGjejZsyc6nY7x48ezYMECLl++zLBhw/j222+5efMmjx49In/+/Oj1+qzmk9WrV8fT05OEhAQ2bdrEwIEDady4MVZWVlnJh8zXHEk+CCGEECKTJCCEeMNVcLcgsJoVrUtYYKdTSDKASVV4z1PLiMpWtC9lgaX2rxf9mSXP4eHhREVFAVC3bl3Onz9P1apVKVeuHO+//z6RkZHcu3ePESNGMHLkSEaOHMmECRPo0qULP//8M6qqUqpUqWeOLVUPQvx9igJlPoKy7SAlDuKjMhINhlQwpEDSvYzbLKyg+ijIXfLVnDcuLo779+8zefJkxo4dy9ixYzly5AiWlpY0b96cffv2UbhwYeLi4oiIiMDa2hqdTsetW7cAGDduHLt37wagdu3aVKpU6ZnjyzYLIYQQQvyebMEQ4l8oLS0NK6tnW+SvXbuWBQsW4ODggEajYfz48VSoUAE/Pz9atmzJsGHDuH37NitWrMBgMBAYGEhoaCgbN26kV69eXL58mWPHjjF+/HhJNgiRQwwpEHMSog6C/hFoLMDRCwrXyegXobzCjw2Sk5P56quvuHTpEkuWLMFkMlG2bFn27NmDwWBg6NChDBs2jDt37rBy5UoqVapEQkICR44cYd68ec8lHFRVldcGIYQQ4j9ItmAI8R/16NEjZsyYwd69e4GMBcHcuXMxGAxER0cze/Zstm3bxp07d5gyZQqqqjJt2jTmzJkDgKenJ+XKlePChQtERUVRuXJlBg4cyIIFC/j0008pUaKELDCEyEE6W/DyhxqfQ0AQ1JsGlfplVD383eTDH02csLOzo2bNmty/f58VK1bQq1cvatSogaurKx4eHtSvX5+vv/6aDz/8kEmTJpGYmIidnR2bN29+JvmQOUVHXhuEEEII8VckASHEv8Cvv/4KZCwoDh48iKqq7Nq1iw4dOnD8+HEePnzI4MGDuXz5MuXKlaNatWrExcWxdetWatasiYODA3PnzgWgWrVqLF26lEKFCmEymTh37hxubm6EhYXRsWPH13mZQoiXkFnhmLkVwmg0Pve94sWLU7JkSQYNGkTt2rVZtGgRVlZWWFlZ4e/vT2RkJPv376ds2bJMnz6dwMBA8uTJ88zo3szJN0IIIYQQf0XeNQjxluvduzdt2rTh9OnTWFpaUrx4cZYsWcLly5c5cuQIa9aswd3dHZ1Ox/+1d9/xUVXpH8c/J4UQCIHQQ+gtFEFAQX7SBCwIClgAXaUoRUQRlbYKCgqiyIIKCAossiqu3ZV16V1QwQChKiUSEiF0kkBC2sz5/XEnMSgoJSGZ8H2/XvNKcnPnzrmcHObOc5/znAULFjB9+nSmTp1KmTJlmD59OgATJ07MKi5XsmRJihcvjtvtxtfXl9tuu42RI0f+YUqHiORPv89I2L17N+3bt2fYsGGsXbv2nH2KFStG586dadOmDZ07d8YYQ1qaUwmzevXqTJ8+nbZt255z7MyCsyIiIiKXSlcQIl4mLS2N1atXExsbC8ANN9xAXFwcc+fOBeCRRx7h2LFjNG7cmEqVKrF161YATpw4QUBAABs2bGDnzp0AlCpVitjYWDp37sywYcPOeR19wBDxTpljd+XKlSxcuJD169fTrVs3mjRpwsiRI0lMTMTX1zcrCBEeHk79+vUZM2YMAP7+/gAEBgaes/Rm5rE11UJEREQul9bGEvEyx44dY86cOVSrVo1x48bRvn17tmzZwsmTJ/n0008pXrw4LVq0ID4+nrvuuosPPviA66+/nuLFi9O3b1/GjBnDV199xYgRI+jatWvWcTNTsvXhQsR7nG/cLly4kBUrVhAREcGZM2cICwtjwYIFACxbtoypU6cyevRo3G43Pj4+hISE0LZtW9asWUN6enpWAEJERERykNsN1oKPj7ME1jVKq2CIeKFt27bRs2dPpk2bRpUqVfjvf/9L+fLlOXnyJJs3b6Zw4cLcf//9AFlFJmvWrAlAXFwcoaGhWcfK/BAiIt7F5XL9YanLU6dO0bBhQ+655x6mTp3Khx9+yKpVq3j22WepX78+q1atYuTIkXz//fdZWRA+Pj7nPZaIiIhcgbg42LoVfv4Z9u2DM2ec7f7+ULUq1KkD9etD7dpOUMKLaRUMkQKuYcOG9OnThwkTJhAXF8euXbto2bIl9913H8ePH+fDDz/k6NGjtGjRgrCwMH744Yes52YGHzIr4yv4IOKdfH19OX36NM899xyTJk0iMjKSkJAQHnrooaypVx06dMDtdrNlyxbS0tJo27YtAQEBzJw5E/ht/GcGH7IXlxQREZHLsHs3TJwIzz0Hn3wCUVEQHAxVqjiBh/Ll4fhxWLQIXnsNRo6EtWvhAqtWFTT65CHipZ555hkqVqzIxo0biYiI4IcffqBUqVL07NmThIQE3nvvPYwxTJ48+byrV+hup4h3cLlcvPXWW3Tv3p1ly5aRmJgIOFMtWrRoQdGiRalWrRr33nsvLpeLp556isTERLZu3Urp0qVp1qwZ69evZ+/evQDMmjWLXr16nfe1FJAUERG5TMnJ8P77MGECxMY6AYcqVaBUKShU6LdpF76+ULw4VKzoBCSshTlz4NVXnayJAk5XGiJebNCgQaSkpHD8+HGWL18OQJcuXfj888959913AQgKCgJ+mysuIt7j3XffpVKlSsTExNCoUSNmz57N7NmzAWjatClLly6lS5cufP3118TGxjJjxgwqVKhAx44ds5bW7dSpEz4+Pvj7+5MSD+UD6pJ6MJiT++B0nHPdIyIiIlfg+HEYNw5Wr4bKlaF06Yuv8xAUBNWqwcGD8OKLsH17rjY1r6kGhIiXO3jwIHXr1qVjx47Mnj2bYsWKZf3OWquikiJe7L333mPUqFEcOnQIcLIXDh48yPPPP09AQADr1q1j5MiRTJgwgaSkJIYMGcL27duJjo6mbdu2REREUCE0jBN74ZflELcJMGAAC+CGYmFQqyOUbwz+gXl4siIiIt7o1Ckn6+HMGShX7sqOdeYMnDgBw4Y59SG8hGpAiFwj3G43YWFhrF27lg8//FDBB5EC5pFHHsHPz4+VK1cCkJKSQmBgIAEBAQBER0dTr1492rRpQ61atYiKiuLjjz+mTp06LFmyhKIZYSx/3s26V+HwNjfFwqB4JQiu5PlaGdKSYNMsWPw07F+ljAgREZGL5nLBzJmQkHDlwQdwsiFKlYKpU52sigJIy3CKeLHM+dqNGjUCzl3RQsEH75eRAoe3QsIBcKVD4RJQ/nrnjnV+6l6tpJK7nnrqKYYPH06/fv14+eWXqVOnDrVq1aJr166EhISQmprKgAEDSE5OZvjw4TRv3hyAUP+GrB0PfoV9KFEVznfPwRgoXNx5ZKTClrmQfBzq3Z+//sZERETypVWrnFUuqlXLuWMGBUFiIvzrX/DMM3+5Qoa33XTUFAwRkXwmIxV2/xd+WQauVPDxB+MD7nSwbihZE+p3h1K187adCjxcPWXLlqVly5bMnTuXTz/9lC+//JKqVasyevRoDh06xLx583j88cdp0KABAPEHYO14CAiGgGJ/cfBs3C6Ij4YGf4Nad+bOuVwuLRUqIiL5SmIiDB3q1HvwZCbmGGth/3549lnw3Gj8PbfbjTEmK/iQl9dlmoIhIuKl0pPhu3/Anv9CkVJQoioEh0GxUCheGYpXgTNH4NsJ8OuGvG1r5pvckiVLmD17NidPnszbBhVg/fv3x8fHhxIlSjBgwADmzZvHoUOH2LlzJ82aNWPGjBlZwQdXhpuImeBX+NKCDwA+vs7f2c5PIfHXXDiRy5C5NGhm8GHPnj0kJSUBKq4rIiJ56McfISMj54MP4KQhFi8OixdfcBcfHx+MMZw+fZoXXniB77//PufbkQs0BUNEJJ+w1pmLfyrKCTycL5vOGCcw4V8EIt6BIqWhZI2r0TaLtfacyPqWLVuYOXMm0dHRFC5cmKVLl/L+++8TGKhKhjnthRdeICgoiD179lC7dm3Kly/PF198gb+/f9Y+mXc+Tu3z4cwRKFHl8l7L198JRESvgYYP5dAJXKLs6aSZf3MbN27k2WefJTU1lerVq/PRRx8pI0JERPKGtbBwoZP9kFtKloTdu52lOUNDz5sJOHToUE6ePEmNGjVo0qRJ7rUlBykDQkQkn4iPhsORToHAv5rK5x/oBCF2/yf325WZ4pc9+LB//37efvtttm/fztKlS1mwYAFnzpxhxYoVuFyu3G/UNaZw4cI8/fTTREVFZW3z9/fPyg6A3z6o/7LcyX64EkXLQfRqJyPnarLW4nK5zpnLmp6eztChQ5k4cSLDhg3jxx9/5NixY4wbNw5Af28iInL1nTjhrH5RtGjuvUbme+GBA8BvmYA7d+4kOjoagJIlS/Kf//yHoUOHes0NIAUgRETyiehV4FPo4ov/FSkFR3Y4UzJy2rZt25g6dSqJiYn4+PiQnJzM+PHj6dOnD2vXrqVatWrceeedFC1aNOtDcbt27Vi6dCknTpzI+QYJ//jHP7jzznMLM/x+rmdKPMRthqJlruy1fP2dmiNxW67sOBdr7969gFM819fXl+TkZGbMmEFERAT+/v40b96co0ePUqpUKQBeffVVZsyY4bRVWRAiInK1eZbHzk1ua6FQIdizB3CuzVq3bs2QIUOYMmUK33zzDaNGjSI9PZ0DniBF9hsT+ZUCECIi+YC1EPsdBJW9+OcYH8DCid05147MN659+/Yxa9YsgoOD2blzJ7fffjvp6en07duXsWPHsnz5ctq0aUPDhg1ZsmQJAA8//DC7du3ixx9/1Nz8XPJXFxbJJwDj+du4Qj7+cDruyo/zZ1wuF9988w3fffdd1rktWrSIm266ibVr1zJjxgz69+9Pt27dqFKlCidOnCAtLY2bbrqJ6tWrM2XKFMA7LrhERKQAOXoUcuG9x1rrBB4AH2OcDIvoaFwuF0uWLGH8+PEsX76cPXv28O677wLw2GOP8fzzz2c9P79TAEJEJB9wpYE7A3wusTKP8YHUxMt/XWst6enpvPfee8Bvd9TbtWtHUFAQBw4coEqVKnz11Vf07t2bGTNmcPDgQSZMmEDp0qW5/vrr2bFjB3FxcYSGhtK+fXuKFCniVctBeZO/qm7tSs3B1/KDtNM5d7xM1lqio6NJTEzE19eXDh060KNHDzZt2gQ4tUWGDh3Kxx9/zPTp01m8eDFbt27ljjvuYN26dVl3eYYPH87777/vtFWrsYiIyNWUkgI5mIH3y6lTgJMJ6OO5hpq2YQOTNm0i+sgRfH192bFjBxMnTqRFixZUqFCBt956C4CxY8eyePFiYmNj8fX1zfdBCL1ji4jkA77+gHEyIS6FtVc2398YQ0ZGBn//+9+ZPn06cXHOLe/9+/dz3XXXkZKSQlBQEOnp6QwYMID27duzfft2Dh8+zPr162nXrh2nT59m/fr1ADz33HO0bdv28hskV8TH/6/3uVjWfeW1JLI7duwYO3bswFrL6tWrWbZsGVFRUWzYsIF//vOfvPXWW1hrWb9+PX5+TiSuSJEiDBw4kKlTp9KlSxf27dtHZGQk1lruu+8+IiMjc66BIiIiF8vP79Iv2s7jp2PHeOJ//+PdiAgAXG43C/fu5b5PP2XH0aNExcczZPlyVqxYQdWqVfHx8eHLL79k7ty5VK9enc2bN1OsWDF69OjBypUrAfL9TSAFIERE8gHjAyHVnTn8l6pY2OW/rsvlIjAwkM8//5x9+/YxevRoAKpVq8b69esJCgoCYM2aNdSpU4d+/fpx9OhR/P39GT16NJUqVeKll17i/vvvv/xGSI4pVBSwOXJNhCsNCodc+XGOHj0KwOrVq9m/fz9ut5uIiAiGDBnCfffdR3BwMI0bNyY4OJgff/yR3r178+abb2Y9v3r16lSqVIng4GA6derEddddhzEma9qFilCKiMhVV7JkjrzZfr17NyUKF+bltm3ZdOgQGW4387dvZ/+pU7x7992806oV/xcezoYNGwgNDaVUqVKsWbOGPXv20KNHDyZPnkxKSgpz586ld+/eOXBiuU8BCBGRfKJmB0hNuPj90844hShLh1/8c37/YS2zgF+rVq148cUXWb16NXPmzCE4OJibbrqJb775BoBKlSoRGxvLwIEDefTRRxk6dCjjx48HnA+Ikj8EhTorWFzp1AlrAQuhja7sODExMVSoUAGXy0W3bt0IDQ3lwIEDhIeHU6NGDZ5//nkaNGhA/fr1qV27Np988gndu3cnMDCQF154gYkTJzJx4kQaNXIa0r9/f+rWrQv8Nu1CRShFROSqCw2FS5z+l5yezua4OFIzMrK2hRUrxg8HD7LtyBG6fvIJAX5+9Khfn9JFirD7+HFISuK6Zs2Ijo7m3nvvpVu3bixbtoy//e1vNGvWjHnz5lG4cOGswHx+n34BCkCIiOQb5a+HwiXg7Km/3te6ndUvat/11wUHrbVZb0iZH9aSk5PP+b3L5aJkyZK8/fbbbNu2jYEDB1KzZs2sVQdatmzJ66+/TlhYGOPGjaNXr160aNHi8k5Uco0xULvTxf0N/ZmzJ6BMPQgqf3nPz8xOqFy5Mm3atOEf//gHAF988QWDBw9m8ODB9O/fn3Xr1nHy5EmKFy9OkyZNOHPmDBs3buS///0vtWvXJioqivfee4+uXbtmHdsbLq5ERKSAK1/eCUCkp1/0U2ISEnh+xQre9dQ8AmhZuTLWWsoWLUqT0FA+2bGDW6pWpUHZsny+axcAzTzTXwMDA+nUqRPTpk0jIiKCoUOHnrMkt4+PT76ffgEKQIiI5Bu+haD505Bx9s8/QLpdEH8AKreEKq3/ZD9PJNwYk/WG9OGHHxIaGsrw4cOzshvcbndWYKJDhw48++yzbN26lbFjxxIfH5+1T3h4OC+88AI33XRTzpyw5IrQJk5NkYzLLEhprZNBUbPD5bfBx8eH+Ph4Pv30U8LDw5k5cyYAQ4cO5ciRI+zatYsbbriB1NRUNm7cCDjTfipUqMBnn31GiRIl6GpIXQ8AACAASURBVNmzJ7NmzaJx48bnBNG84eJKREQKOH9/aNXKWQ3jItUpXZpX2rVjxo8/smC3s4TZ4TNnqFy8OCGBgfSoX593Nm0iOCCAxqGhTNuwgYl793L/iBHcfPPN+Ps7hZ4KF3YKNLlcLqy1XleI2btaKyJSwJWoCq1GOSsQxB+A5OPgSneCDunJEB8Dp3+FGndAk75/nv2QGQk/evQor7zyCnPmzCE+Pp7Vq1fTtm1bxo8ff07wAZxAQ9WqVXn99ddp1arVOVF18Q7+RaB+d0j81fm7uVSnD0KZ+k4GxMU4X8pnUlISd999N6tWraJFixYkJSUxa9YsSpcuzW233caUKVOoW7cu9erVY9asWTzyyCOsWLGC+++/n5deeukPx88eRBMREckXbrnFyYC4hOU4b6hQgedatuRfW7fy2c6dXF++PGsOHCDD7aZH/fq4rWXxvn3cXbs291euzP7ixZk6bRqTJ0/OCjxk8vX19cr3xktc8E1ERHJbiSpw20Q4tguilsKpKHBlQOFgqNsVKt0MRUr/8Xkul+ucYEJCQgKTJk0iLi6OwMBAPvvsMxo1asSTTz5JeHg48+fPZ8aMGTz55JNZz80MNLRp04YVK1Yo8OClqrWH5GOwZyEUr+xZZeUvWOsELYIrQNNBF78kbObfyN69eylWrBjly5dn7969VK9ePSvzoWjRojz99NMMGDCAgQMH0rVrV3755ReGDBlCfHw8/v7+PPzww1mrX2Rm7mQ/voiISL5SqRI0awabN0PFihf9tN6NGlGicGEmrFtHsYAAWlauzLqYGDqHh3N37dpM/v57lnXpQpOwML4rU4YGDRoAf7zO81bGG+ZS3njjjTbCszSJiIicK/uHNYCMjAz8/Pz49ddfqVWrFm+88QYDBw5kxowZREVFMXDgQGrVqsWCBQt47bXX+O677/Kw9ZJbrIW9/4NdXzjBhKJlzx+IsNap+ZB6GspeB00fh0JBFz6u2+0+JygQFRXFc889xy+//EKHDh0IDAzkkUceoXnz5sTExJCeno6/vz9hYWHMnDmTzp0707NnT6pXr/6HbAcRERGvkpAAzz0HRYpA0J+8eZ7Hh9u28eYPPxCfksL8e+/lpooVSU5PJyEpidCTJ/nuttv45qef6NmzZ1YB5vzKGLPJWnvjxeyr2woiIl4oIeG35TIygw+LFi3illtuYezYsaxfv56KFSvyyCOPsGrVKgDuvvtujh07xrZt23C5XHTs2JG0tDQWLVqUJ+cgucsYp0hp25egSitIOgrx0XD6kPP96Thnmk/CAQiuBP/3LPzfMxcOPlxoOs7GjRv529/+RkREBMHBwbz++utUqFCBsmXLMmPGDPz9/UlISKBKlSoMGzYMgBkzZpwTfPCWyt0iIiLnKF4cBg6EY8fg7NlLeurDDRsyokULzqSl4fa8Bxbx9SX05Em4805uevBBJkyYkO+DD5dKGRAiIl7k+++/Z8qUKZw4cYKBAwdy++23U6JECd58802WLFnChAkTiIyMZOLEifz000/s27eP++67jwULFmTVdti/fz/Dhg2jRo0aHDlyhHLlyuX1aclVkHYG4rY4gYe00+BXGAJLOquvFKtw8cf54IMP2Lp1K48//jg1atSgU6dOlC1blqioKCpUqMDTTz9N8+bNWblyJVOmTKFkyZLExMQwaNAgwsLCzlk95ffZOyIiIl5p40aYMQNKloTg4L/cPfP9z1qLBXyMgbQ0iI2FW2+Fhx8GL5pucSkZEApAiIh4ie7du/PDDz8wa9Ysjh49ypIlS2jZsiWPP/44p06dwt/fnzlz5vDRRx8RFRXF5MmT6dOnD4MHDwZg2rRp/PzzzyxdupQ+ffoQfBFvkCKZZs2aRUxMDAcPHqRkyZL88ssvDBgwgBMnTjBkyBBiY2MpUqQI4ATKbrrpJpKSkvjoo49o2rQpTZo0yeMzEBERyUU//wzvvAOJiRAWdvEBBGvJOHwYv/R06N4dbr/dWeLTi1xKAEJFKEVEvMSNN97IoUOH6NChAykpKRw6dCgrHT4kJIS5c+eyZs0aNm7cyIcffsiECRPo3bs3PXv25NFHHyU5OZk6depQp06dPD4Tyc8ya4hYa0lPT2f58uV07NiR5cuX88MPPxAdHY2Pjw8LFy5kzJgxLF++nBdeeIHVq1dTuXJl3n33XWJiYnj99dcJDw/nscceA9AymiIiUrDVqQOvvAJffAGrVztFlkqXdupDnO+9Ly3NmbqRno5f7drQpw9UuISURC/lXaEVEZFr2IgRI/j555/Zs2cPhQsXZv/+/RQtWhRwPjTGxcVRr56zdmKhQoWysh2aNWvGhg0bsu5Oi2TncrmYNm0a48aNIykpCT8/P5KTkzHGsGLFCiZNmgTAuHHjOHLkSFYgoX379pQsWZJff/2V6dOns2bNGvr160dwcDDvvfce4eHhWa+RmWqq4IOIiBRoRYtCr14weTJ06+YEHmJinEds7G+PAwecApYtW8JLLzmFLK+B4AMoA0JExKv069eP+++/n/DwcNasWcO2bduIj4/PWlrzP//5Dy1atKBWrVp89NFH3HrrrQBZgQqRTElJSbz66qusWrWKChUqMHbsWIoWLcq6det48sknGTRoEFWqVKFRo0YAhIeH06xZM0aNGsVrr71GRkYGJUuWpGjRonTq1IlOnTqds0RY9tUyFHgQEZFrSkgIdOzoPJKTIS7O+ep2Q0AAlCsHJUqcPzOigFMNCBERL5KamkqpUqV49dVXGTx4MF9//TVvv/02lSpVYtSoUSQnJxMZGcnDDz+c102VS5SSAEe2wvGf4MQ+SD8D+EDRMlAqHMrUcx7nW0rzckRGRtKkSRPOnDmTlR1z9uxZAgMDiYyMZMaMGaxYsYJu3brx2muvAbB+/XpatWrFlClTWLt2LWfPnuWzzz4jKNvSYy6XCx8fHwUdRERErhEqQikiUoD1798fX19f3nnnHQBiY2N56623eOyxx6hVq1Yet04u1dlT8NOXEPsdWDf4BzpLYfoWcqaPZpx1VrBwpUGhYhB+N1RrBz45kMMYHh7O9u3bSUhIYOTIkQQGBvLiiy9Srlw5Tpw4QevWrSlatCitW7dmxIgRlC1bljvuuIOQkBBefvllateufeWNEBEREa+mAISISAF25MgRQkNDOXbsGKVKlcrr5shlshYO/Qhb5oIrA4qFgs9fFMxOPwtnDkNIdbjxMQgqf2VtWLJkCffffz833HADrVu3ZtiwYQQHB2fVbHjggQcYMGAAq1atYvv27bz88sscP36chx56iLi4OIBzpl2IiIjItUerYIiIFGDlypXjH//4B6mpqVkfFMW7WAv7FsH2fzuBB/+LrA/qHwglqjpBiDXjoMUIKFHl8ttx++23U6hQIebPn09YWFjWdmMMmzdv5vjx47Rr146WLVsSHx9P2bJlAShbtixbtmyhcePGCj6IiIjIRVMGhIhIPmQtnIqC6NUQHw3udCf9vtLNUKEpBBTL6xbKlYj9Dn6cCcUrX35Nh7OnwLrglpegyBUkwrz//vusX7+ed999F4CYmBgiIiJo0KAB//rXv3j55Zex1uLr60t6ejr+/v45EvjKXqRSREREvJemYIiIeLGT+2DzXDhzCHwDICDYKZLsSnMKFfr4QrX2UO8+p06At7HWYq29Zj98Jh+HFc9D4RAno+FKnD4EpetC8yFgLvOfMyMjg4oVK7JgwQLmzp3Ld999x+OPP86AAQNyJbsh87ojM4CRnJysJWJFRES82KUEIK7Nqz8RkXzqyHb4dgKkJ0HxKk56fqGiTop+4RJOun1QeYhaAhumOkEJb+F2u7PunPv4+OB2u/O6SXlixyfO1ysNPgAEhcLhLRAXefnH8PPz4+mnn6ZTp05cd911bNq0iccff/yc5TRzQvbAgzGGX3/9laeffppp06aRmpqaI68hIiIi+ZsCECIi+UTiQdjwFgSWgsCQCy8N7ePnBCeO7oCt71/dNl6JzKUZT58+zbPPPsvdd9/N999/T0ZGRl437apJPg5xEVdePDKTMU5gat9CZ9rO5RoxYgTHjh3jySefxN/fH5fLlRUwuNJMFZfL5Wnrb3/Qc+bM4YYbbqB+/fqMHDmSgICAK3oNERER8Q65FoAwxsw1xhw1xuzItm2sMeagMSbS8+iYW68vIuJt9i0GjJPx8FeMceoHxKyDM0dyvWmXJfODJ/x293vw4MGMGjWK0NBQbr31VmbPns0333yTV0286g5uBMvlT5c4n8IhcDLKKUx5uTKDDJnBIF9f3xwrbpqZSbFgwQLmz58PwAMPPMCpU6eoWrUqAOnp6TnyWiIiIpK/5WYGxDygw3m2v2GtbeR5LMzF1xcR8RqpiU5hwqByF/8c4wPG1wlC5EeZHzxjYmJISkoCICEhgcWLFzN8+HAGDRpE8+bNWbRoEd5QjygnHN3h1PTISZlxgsTYKz+Wn9+VLY5lrT0n8ASwd+9eWrduzSeffMLmzZsZPnw4AQEB9O7dm48++gi48iwLERER8Q659o5vrV0LnMyt44uIFCTHdoHb5UyvuBRFy0L0qtxp06X6/QfPyMhIWrRoQc+ePRk0aBC7d+/mzTffJCYmhuTkZAICAmjYsCEAixYtyosmX1XWwqlfoFBQzh/b1x9O/pLzx70ULpcLYwy+vr6cPXuWmJgYALZs2ULfvn2ZP38+hw8fZu3atezfv58xY8bw9ddfc+bMGXx9fa+ZIJSIiMi1LC9uOTxpjNnmmaIRkgevLyKS76QmXrjmw5/xLQRpSeDOwzIKmYGHzIyH9PR03G43H3zwAf369WPNmjWEhYUxZcoU/P396d69OyNHjgSgZs2aVKlShS+//DLP2n+1WBdkpFz+spt/xrcQpMbn/HH/ytGjR3nooYdITU3F19eXhIQEhg8fTv369fnmm29wuVycPHmSUaNG0bRpU6pXr86yZcuoXbs2FStW5KabbuLZZ5+9+g0XERGRPHG1AxAzgRpAIyAOmHyhHY0xA4wxEcaYiGPHjl2t9omI5Anjg1Mc4HLYnK0pcKmyz/Hv1q0bq1evxsfHhzVr1lCunDOn5LHHHqNcuXIsW7aMl156iXnz5mGtpXTp0txzzz288MILeXcCV1POlFX4A2tz79jnkxl0Klu2LNOmTcva/sUXXxAfH8+WLVsYNGgQvr6+BAcH06pVK+bOncu4ceMIDg5m8eLFJCUlMWXKFOrUqQOQYzUnREREJP+6qpes1toj1lqXtdYNzAaa/cm+s6y1N1prbyxTpszVa6SISB4ofJn5YBlnIbDk1QtAZC6lmd3SpUtp3Lgx69at46effmLmzJkkJCTQvXt3IiOd9SGrVq3KgQMHOHPmDNWqVaNRo0b873//A6Bu3bpUqVLl6pxAHjK+ToHR3Fg61ZUKRa/iW2Vm0AkgLi6Ohg0bYq0lNjaWwMBApk6dypw5c3j//fepXLkyDRo0YMiQIXz55ZfceeedvPLKKxw5coS6desqA0JEROQaclUDEMaY0Gw/3gPsuNC+IiLXkjL1wDfg0j+cJh+DGrfnTpt+z1qbtZRm9qUzIyMjufvuu3n99df57LPPOHjwIHv37qVx48asWLGCxYsXc+rUKY4dO0bZsmUBWLVqFXfdddfVaXg+YQyUrAmpp3P+2NYNJarm/HGzjn+e+gydOnVi9+7d1K9fn6pVq/Lpp58ydOhQKlSoQGBgIHFxcbz33ntERETw1FNP0atXLxYuXEivXr349ttvqV69eu41WERERPKlKyt3/SeMMf8GbgFKG2N+BcYAtxhjGuEkGkcDj+XW64uIeBP/QKjeDvYtcZbXvBjuDMBAxea516758+fj5+dHjx49MMbw008/MWnSJHx9fbnnnnvo2LEjhw4d4oYbbiA1NZW6devSoEED5s2bx/Tp0zl69CgffPABzzzzDP379+e2224DnNUW3G73Nbf6Qbnr4chWoFTOHdO6AQvFcziJJDPoYIzJmh7xyy+/EBISkvUYM2YMH3/8Mf369eONN96gR48e/P3vf886xuHDhwkODiYoKIg+ffrQp0+fnG2kiIiIeJXcXAXjQWttqLXW31pb0Vr7T2ttT2ttA2ttQ2ttZ2ttXG69voiIt6l+m5Oif/Yi1g+ybog/ALXvhsIlcrYdp0+fJjU1FXCWUHznnXcAWL16NQMGDKBdu3b069eP0aNHs3fvXmrXrs22bds4ceIEAO3ateOrr74iKiqKhx56iJkzZ/LTTz/x7LPPnpO6f60FHwAq3OBMl8nJoqHJx53ARpEcCmrExMRgrT0n8LBgwQImTpzI2LFj+emnnwCYMmUKCxcu5Pjx43Tr1o3ChQvz+eefAzB+/Hiuu+46EhMTadu2bc40TERERLzetXf1JyKSTwWWhJuHO8GFxIPOspznk5YEp6Khxq1Qp0vOtmH58uVUrVqVBQsWANC3b18SExM5evQoTZo0YcmSJZQrV44RI0aQlpbGiy++SN++fTly5AivvfYa77zzDqtXr6Z8+fIsXboUgGLFigFO4cJrfanFgGCo0gZOH8qZ41k3pJ2Bmnde+bHmz59P8+bN+fvf/87q1asB+Pjjj3nxxRdZsWIF3bp1o0iRIuzcuZOEhATKli3LHXfcwejRowF44IEHmDBhAuDU9fjqq6/44IMPqFat2pU3TkRERAoEBSBERPKR4pWhzYsQ2hgSf4X4GEg66tzlPn3IyXqwLmjyKDTslTPFJ3fu3Mnp005hgsaNG1OzZk1mzZpFREQEwcHBNGnShC1bthAcHMyePXuYNGkSr776Kt9++y0bNmzgwIEDzJgxg7CwMDZv3syYMWN49NFHOXnSSeXIvIvu6+urlQ6AuvdCoSBn6dUrlfgrVG0HpcMv/xgZGRmMGDGCefPm8corrzBnzhzCwsIAmDp1KhEREYwfP57q1avTqlUrtm7dSlRUFAB33XUXs2bNIi0tLWuKRUZGBvfddx+1atW68hMUERGRAkUBCBGRfKZoWWg6CO6YAtd1h/KNoXRdqNIaWgyH2yZB1VucooY5oX///rz11lvExcXhcrno2bMnzZs3Z9q0aVhrcbvduN1uAFauXEnTpk25+eab2bVrFz4+PowaNYqgoCBGjhzJ888/z9tvv8306dPp3LlzzjSwgCkUBDcMdKbapCdf/nHOHIagclC/25W15/Dhw3z77bd8/fXXtG/fniJFilC7dm0AnnjiCfz8/Dhz5gwAXbp0weVy8dVXX7F06VLi4uK47rrr2Lx5M4UKFeKpp57Czy/XykuJiIiIl1MAQkQknwoMgZod4Ib+0OwJaPiws1qGj+9fP/diuFzOHI/Jkydz6tQp5syZQ9myZdmxYwf9+vWjePHirF27ltjY2KzlNKtVq0ZUVBRdunTh5Zdf5s0332TKlClZx3znnXfw9/dn8+bNNGjQIGcaWgCVrQfNBjuZLRdT8yM764aEGGfp1v8b5tQNuVgpKSl/2BYVFUXdunXx9fXNCjRlfr3vvvtISkoiMjISl8tFUFAQgwYNwlrLyJEjs+p/NG+ei5VQRUREpMAw3jAf98Ybb7QRERF53QwREa/mcrnOKQKZ3aZNm+jXrx///Oc/+fLLL6lSpQqdO3dm4cKFvPfee/j4+GTVBYiKimLhwoU8+OCDlC5d+i+PLRd26hfYNAtOxznZDP5FLryvtU6wIiUBqrSE6x6EgGIX/1qLFy9m1apVDBgwgBo1amT12dq1a3n88cfZuXNntteyWdNlpk+fztatW3n99dcJCQkBuCZXMBEREZHzM8ZsstbeeDH76upBRKSAyww0ZwYIMjIy/vC7G264gb59+/LCCy/QtGlTli1bRrly5ejcuTMJCQns2bOH3bt3A1CjRg0GDx5M6dKlcbvdWGsVfLhMIdXhlpegwd8gI9Wp8RF/wMmMSElwHmcOQ3w0JByAoPLQcgQ06X/xwYfM/q5cuTJnz55l06ZNwG9/D61bt8btdjNv3jzgt+BDSkoK//73v+nTpw+bN28mNjY265gKPoiIiMjl0ERNEZECKvMudead7N27dzNo0CAaNGjAvffeS+vWrc+50/3kk0+yfft2vvzyS6y1xMbGUqlSJSZMmMDp06cJDz+30qG1Vh9Ec4BfANS8A6q3h5P7nOkVx392VrfAOEGHkrWgZHUICr302h+ZNRk2b95MUlISW7ZsoX379pQqVYq0tDQKFSrEiy++yMyZMwkJCaFLly6cPn2aKVOmcOzYMR588EH+97//Ub58+Zw/eREREbmmaAqGiEgBt3LlSlJSUjh8+DBpaWkUKVKEmTNnsmTJEoKDg7HWZgUT9u7dy9ixY/n444+Jjo6mUqVKed18uQSZtRuyB4YOHDhA7969qV27NgEBAaxbt44JEyZw5513nhOA+uyzz5g1axYlS5Zky5YttGnThhdffFF/AyIiIvKnLmUKhgIQIiIFQOb/5dmXuVy4cCErVqwgIiKCM2fOEBYWxoIFCwDo2bMn4eHhjB49+g/1Gw4fPsy+ffto2bLlOcfXEpr51+/7P3NZ1WLFirFkyRImTpzIypUrARg1ahSFCxfmySefJCQk5Jz+j4+PZ+fOndSuXZsyZcrkwZmIiIiIt1ENCBGRa4jL5cIYc06A4NSpUzz22GOkp6ezZs0annnmGcqUKZNVaPDRRx9lwYIF5y0eWb58+XOCD4CCD/lcZv/HxcXRr18/WrZsycCBAwEIDg4mLCyMmJgYAJo2bUpERAS7du0Czs2WKFGiBC1atFDwQURERHKFAhAiIl7O19eX06dP89xzzzFp0iQiIyMJCQnhoYceYuvWrQB06NABt9vNli1bSEtLo23btgQEBDBz5sw8br1cjswlVMHJfnC5XHz44Yc888wzVK9ena1bt3LgwAHefPNNAgICCA0NZdWqVQA0a9aMnTt3snDhQpKTkxVcEhERkatGAQgRES/hcrl466236N69O8uWLSMxMRFwplq0aNGCokWLUq1aNe69915cLhdPPfUUiYmJbN26ldKlS9OsWTPWr1/P3r17AZg1axa9evXKy1OSy5SZtbJ27Vri4uLw9fWlePHiREdHU61aNQBeeeUVPv/8cypUqECLFi144403eOmll3jsscfo0aMHDz30EEWK/Mm6nyIiIiI5TAEIEREv8O6771KpUiViYmJo1KgRs2fPZvbs2YCTUr906VK6dOnC119/TWxsLDNmzKBChQp07NiRt956C4BOnTrh4+ODv78/AHXr1iU4ODjPzkku38KFC7n55pt5+eWXefvtt5k7dy4dO3akZcuWnDx5krS0NNq0aUPx4sX5z3/+Q5cuXZg2bRoAgwcP5pVXXqFevXp5fBYiIiJyrVEAQkTECxQqVAiAyZMn8/zzz3PrrbeSmJhIamoqZcqUYd++fQwcOJB+/frx9ddfM3XqVFJSUujZsyeLFi3i4MGDVK5cmbfffpvatWvn8dnIxerSpQuLFi0Cfpt2kZiYyJEjR5gzZw5fffUVUVFRzJ07l/j4eFq1asXevXuJjIwEoHfv3syZM4f09HRatWrFmDFjuP322/PsfEREROTapgCEiIgXeOSRR/Dz88taySAlJYXAwEACAgIAiI6Opl69erRp04ZatWoRFRXFxx9/TJ06dViyZAlhYWFZSzRmfpX8r1mzZowfPx74rRBocHAwf/vb39i5cyc333wzlSpVom7dusyaNYvbb78dl8vFmjVrAOjevTv//e9/s7JeRERERPKSAhAiIl7iqaeeYvjw4cycOZOXX36Zb775hi+++AKXy0VISAipqakMGDCAl156ieHDh9O8eXMAGjZsCPy22kH2VQ8kfxs1ahS7d+9m8+bN+Pj4ZGVBuFwu1q1bx6xZs5g0aRLFixfn888/JyMjg5YtW1KvXj3cbjfWWkJDQ/P4LEREREQcugoVEfESw4YNIzY2lmXLlrFv3z569erF7NmzeeKJJ7j++ut58skn8fPzY+TIkUycOJE6derkdZMlB/Tv35/Ro0cDzooX1lqKFCnCsmXLOH78OBERESQlJREeHk5UVBQ9evTIqvehFS5EREQkPzHW2rxuw1+68cYbbURERF43Q0Qkz2XeEf/8888BOHz4MAMGDOCJJ57gjjvuOGdft9utbIcCICUlhXLlyrFp0yZq1qyZtf2dd94hMjKSlStX8vrrr9O1a9c8bKWIiIhcq4wxm6y1N17UvgpAiIh4j5SUFIKCgti1a1dWMcn09PRz5vgr8FDwDBgwgEKFCjF9+nSmT5/Ov//9bwYOHEjXrl0pVqxYXjdPRERErmGXEoDwy+3GiIhIzilcuDBPP/00UVFRWQEIf3//c4IOCj4UPOPGjSM0NJQFCxYQHh7O6NGjufPOO/O6WSIiIiKXRBkQIiIiXmD27Nlcf/31NGvWLK+bIiIiIpJFGRAiIgWcpllce/r375/XTRARERG5Irp6FRHxQgo+iIiIiIi30RWsiIiIiIiIiOQ6BSBEREREREREJNcpACEiIiIiIiIiuU4BCBERERERERHJdQpAiIiIiIiIiEiuUwBCRERERERERHKdAhAiIiIiIiIikusUgBARERERERGRXKcAhIiIiIiIiIjkOgUgRERERERERCTXKQAhIiIiIiIiIrlOAQgRERERERERyXXGWpvXbfhLxphjwIG8bsfvlAaO53Uj5IqpHwsG9WPBoH4sGNSPBYf6smBQPxYM6seCoaD2YxVrbZmL2dErAhD5kTEmwlp7Y163Q66M+rFgUD8WDOrHgkH9WHCoLwsG9WPBoH4sGNSPmoIhIiIiIiIiIleBAhAiIiIiIiIikusUgLh8s/K6AZIj1I8Fg/qxYFA/Fgzqx4JDfVkwqB8LBvVjwXDN96NqQIiIiIiIiIhIrlMGhIiIiIiIiIjkOgUgLoIxJtoYs90YE2mMifBsK2mMWWaM2ev5GpLX7ZQ/MsbMNcYcNcbsyLbt1tItGQAACDBJREFUvH1nHFONMfuMMduMMU3yruWS3QX6cawx5qBnXEYaYzpm+91znn7cbYy5I29aLb9njKlkjFlljPnJGLPTGDPEs11j0ov8ST9qTHoRY0xhY8xGY8xWTz++5NlezRizwTMePzHGFPJsD/D8vM/z+6p52X5x/Ek/zjPG7M82Hht5tuv/1XzMGONrjNlijPnG87PGoxc6Tz9qPGajAMTFa2utbZRt2ZS/AyustbWAFZ6fJf+ZB3T43bYL9d2dQC3PYwAw8yq1Uf7aPP7YjwBveMZlI2vtQgBjTD3gAaC+5zkzjDG+V62l8mcygKHW2rpAc+AJT39pTHqXC/UjaEx6k1SgnbX2eqAR0MEY0xyYiNOPtYBTQF/P/n2BU9bamsAbnv0k712oHwGGZxuPkZ5t+n81fxsC/JTtZ41H7/T7fgSNxywKQFy+LsC/PN//C+iah22RC7DWrgVO/m7zhfquC/C+dfwAlDDGhF6dlsqfuUA/XkgX4GNrbaq1dj+wD2iWa42Ti2atjbPWbvZ8fxrnzTkMjUmv8if9eCEak/mQZ1yd8fzo73lYoB3wuWf778dj5jj9HGhvjDFXqblyAX/Sjxei/1fzKWNMRaATMMfzs0Hj0ev8vh//wjU5HhWAuDgWWGqM2WSMGeDZVs5aGwfOxRhQNs9aJ5fqQn0XBsRm2+9X/vyiWvLek56Utbnmt2lQ6kcv4EkXbQxsQGPSa/2uH0Fj0qt40oQjgaPAMiAKiLfWZnh2yd5XWf3o+X0CUOrqtljO5/f9aK3NHI+veMbjG8aYAM82jcf8601gBOD2/FwKjUdv9Pt+zKTx6KEAxMVpYa1tgpMm84QxpnVeN0hyxfkix1omJv+aCdTASTmNAyZ7tqsf8zljTBDwBfC0tTbxz3Y9zzb1ZT5xnn7UmPQy1lqXtbYRUBEnK6Xu+XbzfFU/5lO/70djzHXAc0AdoClQEhjp2V39mA8ZY+4CjlprN2XffJ5dNR7zsQv0I2g8nkMBiItgrT3k+XoU+ArnTfpIZoqM5+vRvGuhXKIL9d2vQKVs+1UEDl3ltslFstYe8Vx0uYHZ/JbSrX7Mx4wx/jgfWudba7/0bNaY9DLn60eNSe9lrY0HVuPU9ChhjPHz/Cp7X2X1o+f3xbn4qXFyFWTrxw6eqVLWWpsKvIfGY37XAuhsjIkGPsaZevEmGo/e5g/9aIz5UOPxXApA/AVjTFFjTLHM74HbgR3AAqC3Z7fewNd500K5DBfquwVAL09F2uZAQmZauOQ/v5sjdw/OuASnHx/wVIiuhlPYZ+PVbp/8kWd+6j+Bn6y1U7L9SmPSi1yoHzUmvYsxpowxpoTn+0DgVpx6HquA+z27/X48Zo7T+4GV1toCf6cuv7tAP/6cLahrcOoGZB+P+n81n7HWPmetrWitrYpTtHeltfYhNB69ygX68WGNx3P5/fUu17xywFeeui5+wEfW2sXGmB+BT40xfYEYoFsetlEuwBjzb+AWoLQx5ldgDPAa5++7hUBHnAJpycAjV73Bcl4X6MdbPMsYWSAaeAzAWrvTGPMpsAunWv8T1lpXXrRb/qAF0BPY7pmvDPA8GpPe5kL9+KDGpFcJBf7lWZHEB/jUWvuNMWYX8LExZjywBSfYhOfrB8aYfTh3Wh/Ii0bLH1yoH1caY8rgpHhHAgM9++v/Ve8yEo3HgmC+xuNvjIJlIiIiIiIiIpLbNAVDRERERERERHKdAhAiIiIiIiIikusUgBARERERERGRXKcAhIiIiIiIiIjkOgUgRERERERERCTXKQAhIiIif2CMqWqM2fHXe4qIiIhcHAUgREREJEcZY/zyug0iIiKS/ygAISIiIhfia4yZbYzZaYxZaowJNMY0Msb8YIzZZoz5yhgTAmCMWW2MmWCMWQMMMcZ0M8bsMMZsNcas9ezja4yZZIz50fP8xzzbbzHGrPUcb5cx5h1jjI/ndw8aY7Z7jjXRs627MWaK5/shxphfPN/XMMasy4N/JxEREbkICkCIiIjIhdQC3rbW1gfigfuA94GR1tqGwHZgTLb9S1hr21hrJwMvAndYa68HOnt+3xdIsNY2BZoC/Y0x1Ty/awYMBRoANYB7jTEVgIlAO6AR0NQY0xVYC7TyPK8VcMIYEwa0BL7N6X8EERERyRkKQIiIiMiF7LfWRnq+34QTGChhrV3j2fYvoHW2/T/J9v16YJ4xpj/g69l2O9DLGBMJbABK4QQ5ADZaa3+x1rqAf+MEE5oCq621x6y1GcB8oLW19jAQZIwpBlQCPvK0oxUKQIiIiORbCkCIiIjIhaRm+94FlPiL/ZMyv7HWDgRG4wQIIo0xpQADDLbWNvI8qllrl2Y+5XfHsp79L+R74BFgN07QoRXwfziBDxEREcmHFIAQERGRi5UAnDLGZE5/6AmsOd+Oxpga1toN1toXgeM4gYglwOPGGH/PPrWNMUU9T2lmjKnmqf3QA1iHkyXRxhhT2hjjCzyY7fXWAsM8X7cAbYFUa21Czp6yiIiI5BRVqRYREZFL0Rt4xxhTBPgFJwvhfCYZY2rhZDGsALYC24CqwGZjjAGOAV09+38PvIZTA2It8JW11m2MeQ5Y5TnOQmvt1579v8UJaqy11rqMMbHAzzl6piIiIpKjjLW/z3gUERERuXqMMbcAw6y1d+V1W0RERCT3aAqGiIiIiIiIiOQ6ZUCIiIiIiIiISK5TBoSIiIiIiIiI5DoFIEREREREREQk1ykAISIiIiIiIiK5TgEIEREREREREcl1CkCIiIiIiIiISK5TAEJEREREREREct3/A5W5nokpBVmBAAAAAElFTkSuQmCC\n"
                    },
                    "metadata": {
                        "needs_background": "light"
                    }
                }
            ]
        },
        {
            "metadata": {},
            "cell_type": "markdown",
            "source": "The plot is not very clear where is the centroid of aech cluster.\n\nThe dataset have two types of vehihles.\nCar = value 0 in the type column\nTruck/SUV/Pick-Up = value1 in the type column\n\nI need to distinguish the classes and summarize the cluster."
        },
        {
            "metadata": {},
            "cell_type": "code",
            "source": "# count the numbers of car types in each group\npdf.groupby(['cluster_','type'])['cluster_'].count()",
            "execution_count": 26,
            "outputs": [
                {
                    "output_type": "execute_result",
                    "execution_count": 26,
                    "data": {
                        "text/plain": "cluster_  type\n0         1.0      6\n1         0.0     47\n          1.0      5\n2         0.0     27\n          1.0     11\n3         0.0     10\n          1.0      7\n4         0.0      1\n5         0.0      3\nName: cluster_, dtype: int64"
                    },
                    "metadata": {}
                }
            ]
        },
        {
            "metadata": {},
            "cell_type": "code",
            "source": "# check the characteristics of each cluster\nagg_cars = pdf.groupby(['cluster_','type'])['horsepow','engine_s','mpg','price'].mean()\nagg_cars",
            "execution_count": 27,
            "outputs": [
                {
                    "output_type": "execute_result",
                    "execution_count": 27,
                    "data": {
                        "text/plain": "                 horsepow  engine_s        mpg      price\ncluster_ type                                            \n0        1.0   211.666667  4.483333  16.166667  29.024667\n1        0.0   146.531915  2.246809  27.021277  20.306128\n         1.0   145.000000  2.580000  22.200000  17.009200\n2        0.0   203.111111  3.303704  24.214815  27.750593\n         1.0   182.090909  3.345455  20.181818  26.265364\n3        0.0   256.500000  4.410000  21.500000  42.870400\n         1.0   160.571429  3.071429  21.428571  21.527714\n4        0.0    55.000000  1.000000  45.000000   9.235000\n5        0.0   365.666667  6.233333  19.333333  66.010000",
                        "text/html": "<div>\n<style scoped>\n    .dataframe tbody tr th:only-of-type {\n        vertical-align: middle;\n    }\n\n    .dataframe tbody tr th {\n        vertical-align: top;\n    }\n\n    .dataframe thead th {\n        text-align: right;\n    }\n</style>\n<table border=\"1\" class=\"dataframe\">\n  <thead>\n    <tr style=\"text-align: right;\">\n      <th></th>\n      <th></th>\n      <th>horsepow</th>\n      <th>engine_s</th>\n      <th>mpg</th>\n      <th>price</th>\n    </tr>\n    <tr>\n      <th>cluster_</th>\n      <th>type</th>\n      <th></th>\n      <th></th>\n      <th></th>\n      <th></th>\n    </tr>\n  </thead>\n  <tbody>\n    <tr>\n      <th>0</th>\n      <th>1.0</th>\n      <td>211.666667</td>\n      <td>4.483333</td>\n      <td>16.166667</td>\n      <td>29.024667</td>\n    </tr>\n    <tr>\n      <th rowspan=\"2\" valign=\"top\">1</th>\n      <th>0.0</th>\n      <td>146.531915</td>\n      <td>2.246809</td>\n      <td>27.021277</td>\n      <td>20.306128</td>\n    </tr>\n    <tr>\n      <th>1.0</th>\n      <td>145.000000</td>\n      <td>2.580000</td>\n      <td>22.200000</td>\n      <td>17.009200</td>\n    </tr>\n    <tr>\n      <th rowspan=\"2\" valign=\"top\">2</th>\n      <th>0.0</th>\n      <td>203.111111</td>\n      <td>3.303704</td>\n      <td>24.214815</td>\n      <td>27.750593</td>\n    </tr>\n    <tr>\n      <th>1.0</th>\n      <td>182.090909</td>\n      <td>3.345455</td>\n      <td>20.181818</td>\n      <td>26.265364</td>\n    </tr>\n    <tr>\n      <th rowspan=\"2\" valign=\"top\">3</th>\n      <th>0.0</th>\n      <td>256.500000</td>\n      <td>4.410000</td>\n      <td>21.500000</td>\n      <td>42.870400</td>\n    </tr>\n    <tr>\n      <th>1.0</th>\n      <td>160.571429</td>\n      <td>3.071429</td>\n      <td>21.428571</td>\n      <td>21.527714</td>\n    </tr>\n    <tr>\n      <th>4</th>\n      <th>0.0</th>\n      <td>55.000000</td>\n      <td>1.000000</td>\n      <td>45.000000</td>\n      <td>9.235000</td>\n    </tr>\n    <tr>\n      <th>5</th>\n      <th>0.0</th>\n      <td>365.666667</td>\n      <td>6.233333</td>\n      <td>19.333333</td>\n      <td>66.010000</td>\n    </tr>\n  </tbody>\n</table>\n</div>"
                    },
                    "metadata": {}
                }
            ]
        },
        {
            "metadata": {},
            "cell_type": "code",
            "source": "plt.figure(figsize=(16,10))\n\nfor color, label in zip(colors, cluster_labels):\n    subset = agg_cars.loc[(label,),]\n    for i in subset.index:\n        plt.text(subset.loc[i][0]+5, subset.loc[i][2], 'type='+str(int(i)) + ', price='+str(int(subset.loc[i][3]))+'k')\n    plt.scatter(subset.horsepow, subset.mpg, s=subset.price*20, c=color, label='cluster'+str(label))\n    \nplt.legend()\nplt.title('Clusters')\nplt.xlabel('horsepow')\nplt.ylabel('mpg')",
            "execution_count": 28,
            "outputs": [
                {
                    "output_type": "stream",
                    "text": "'c' argument looks like a single numeric RGB or RGBA sequence, which should be avoided as value-mapping will have precedence in case its length matches with 'x' & 'y'.  Please use a 2-D array with a single row if you really want to specify the same RGB or RGBA value for all points.\n'c' argument looks like a single numeric RGB or RGBA sequence, which should be avoided as value-mapping will have precedence in case its length matches with 'x' & 'y'.  Please use a 2-D array with a single row if you really want to specify the same RGB or RGBA value for all points.\n'c' argument looks like a single numeric RGB or RGBA sequence, which should be avoided as value-mapping will have precedence in case its length matches with 'x' & 'y'.  Please use a 2-D array with a single row if you really want to specify the same RGB or RGBA value for all points.\n'c' argument looks like a single numeric RGB or RGBA sequence, which should be avoided as value-mapping will have precedence in case its length matches with 'x' & 'y'.  Please use a 2-D array with a single row if you really want to specify the same RGB or RGBA value for all points.\n'c' argument looks like a single numeric RGB or RGBA sequence, which should be avoided as value-mapping will have precedence in case its length matches with 'x' & 'y'.  Please use a 2-D array with a single row if you really want to specify the same RGB or RGBA value for all points.\n'c' argument looks like a single numeric RGB or RGBA sequence, which should be avoided as value-mapping will have precedence in case its length matches with 'x' & 'y'.  Please use a 2-D array with a single row if you really want to specify the same RGB or RGBA value for all points.\n",
                    "name": "stderr"
                },
                {
                    "output_type": "execute_result",
                    "execution_count": 28,
                    "data": {
                        "text/plain": "Text(0, 0.5, 'mpg')"
                    },
                    "metadata": {}
                },
                {
                    "output_type": "display_data",
                    "data": {
                        "text/plain": "<Figure size 1152x720 with 1 Axes>",
                        "image/png": 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\n"
                    },
                    "metadata": {
                        "needs_background": "light"
                    }
                }
            ]
        },
        {
            "metadata": {},
            "cell_type": "markdown",
            "source": "**Cars**:\n\n-   Cluster 1: with almost high mpg, and low in horsepower.\n-   Cluster 2: with good mpg and horsepower, but higher price than average.\n-   Cluster 3: with low mpg, high horsepower, highest price.\n\n**Trucks**:\n\n-   Cluster 1: with almost highest mpg among trucks, and lowest in horsepower and price.\n-   Cluster 2: with almost low mpg and medium horsepower, but higher price than average.\n-   Cluster 3: with good mpg and horsepower, low price."
        },
        {
            "metadata": {},
            "cell_type": "code",
            "source": "",
            "execution_count": null,
            "outputs": []
        }
    ],
    "metadata": {
        "kernelspec": {
            "name": "python3",
            "display_name": "Python 3.6",
            "language": "python"
        },
        "language_info": {
            "name": "python",
            "version": "3.6.9",
            "mimetype": "text/x-python",
            "codemirror_mode": {
                "name": "ipython",
                "version": 3
            },
            "pygments_lexer": "ipython3",
            "nbconvert_exporter": "python",
            "file_extension": ".py"
        }
    },
    "nbformat": 4,
    "nbformat_minor": 1
}