2. Statistics and PCA.ipynb

{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Copyright (C) 2016 Glencoe Software, Inc.\n",
    "All Rights Reserved.\n",
    "\n",
    "This program is free software; you can redistribute it and/or modify\n",
    "it under the terms of the GNU General Public License as published by\n",
    "the Free Software Foundation; either version 2 of the License, or\n",
    "(at your option) any later version.\n",
    "\n",
    "This program is distributed in the hope that it will be useful,\n",
    "but WITHOUT ANY WARRANTY; without even the implied warranty of\n",
    "MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the\n",
    "GNU General Public License for more details.\n",
    "\n",
    "You should have received a copy of the GNU General Public License along\n",
    "with this program; if not, write to the Free Software Foundation, Inc.,\n",
    "51 Franklin Street, Fifth Floor, Boston, MA 02110-1301 USA."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Working with the analytical data stored on the OMERO server\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "* Download an OMERO File annotation to a CSV file\n",
    "* Read in data\n",
    "* Perform statistical analysis ([pandas](http://pandas.pydata.org/))\n",
    "* Run Principal Component Analysis (PCA) ([scikit-learn](http://scikit-learn.org/stable/modules/generated/sklearn.decomposition.PCA.html))"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "This notebook demonstarates how to retrieve analytical data stored as a [file annotation](http://www.openmicroscopy.org/site/support/omero5.2/developers/Model/StructuredAnnotations.html) from the [OMERO.server](http://www.openmicroscopy.org/site/products/omero), perform basic statistical analysis using [pandas](http://pandas.pydata.org/) and explore the feature space with Principle Component Analysis using [scikit-learn](http://scikit-learn.org/stable/modules/generated/sklearn.decomposition.PCA.html).\n",
    "\n",
    "The video tutorial for this notebook can be found on [Glencoe Software, Inc.](http://glencoesoftware.com/webinars.html) website (look for: OMERO Plus for High Content Screening & Analysis: The Gold Standard in Data Management & Integration)."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Connect to the OMERO server"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Username: your_username\n",
      "OMERO Password: ········\n",
      "Host: your.server.address\n",
      "Port: 4064\n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "False"
      ]
     },
     "execution_count": 5,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "import os\n",
    "import omero\n",
    "from omero.gateway import BlitzGateway\n",
    "import gs_analytics\n",
    "\n",
    "from getpass import getpass\n",
    "from getpass import getpass\n",
    "conn = BlitzGateway(\n",
    "    raw_input(\"Username: \"), getpass(\"OMERO Password: \"),\n",
    "    host=raw_input(\"Host: \"), port=int(raw_input(\"Port: \")))\n",
    "conn.connect()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Import matplotlib"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "%matplotlib inline\n",
    "\n",
    "import matplotlib\n",
    "import numpy as np\n",
    "import matplotlib.pyplot as plt\n",
    "\n",
    "matplotlib.rcParams['figure.figsize'] = (12.0, 7.0)\n",
    "\n",
    "from IPython.display import display, HTML"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Download a CSV file and read in data for selected columns"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Annotation id: 7391\n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "'File downloaded to: /Users/emilrozbicki/omero/tmp/omero_emilrozbicki/10916/CP_Nuclei.csv'"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/plain": [
       "'Number of columns: 109'"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Create temp directory to download the date to\n",
    "from omero.util.temp_files import manager\n",
    "directory = manager.gettempdir().encode(\"UTF-8\")\n",
    "# Request the file annotation\n",
    "annotation_id = raw_input(\"Annotation id: \")\n",
    "file_annotation = conn.getObject('FileAnnotation', annotation_id)\n",
    "file_name = file_annotation.getFileName()\n",
    "# Download the file annotation to the disk\n",
    "file_path = os.path.join(directory, file_name)\n",
    "f = open(file_path, 'w')\n",
    "try:\n",
    "    for chunk in file_annotation.getFileInChunks():\n",
    "        f.write(chunk)\n",
    "finally:\n",
    "    f.close()\n",
    "display(\"File downloaded to: %s\" % file_path)\n",
    "f = open(file_path, 'r')\n",
    "try:\n",
    "    header = f.readline().strip().split(',')\n",
    "finally:\n",
    "    f.close()\n",
    "display(\"Number of columns: %s\" % len(header))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "'Number of rows: 82167'"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "column_names = [\n",
    "    'ImageNumber', 'ObjectNumber', 'AreaShape_Area', 'AreaShape_Compactness',\n",
    "    'AreaShape_Eccentricity', 'AreaShape_Perimeter', 'AreaShape_Solidity', 'AreaShape_Orientation',\n",
    "    'AreaShape_MeanRadius', 'AreaShape_FormFactor', 'AreaShape_Extent', 'Neighbors_NumberOfNeighbors_1',\n",
    "    'Intensity_MeanIntensityEdge_Hoechst', 'Intensity_MeanIntensity_Ph_Golgi']\n",
    "data = gs_analytics.read_and_filter(file_path, column_names)\n",
    "display(\"Number of rows: %i\" % (len(data) - 1))"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "collapsed": true
   },
   "source": [
    "### Convert the data to pandas DataFrame object"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "import pandas as pd\n",
    "df = pd.DataFrame(data[1:], columns=data[0])\n",
    "convert_list = list(column_names)\n",
    "to_clear = [\"ImageNumber\", \"ObjectNumber\"]\n",
    "[convert_list.remove(x) for x in to_clear]\n",
    "df[convert_list] = df[convert_list].astype(float)\n",
    "data = gs_analytics.read_and_filter(file_path, convert_list)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Calculate statistics"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>AreaShape_Area</th>\n",
       "      <th>AreaShape_Compactness</th>\n",
       "      <th>AreaShape_Eccentricity</th>\n",
       "      <th>AreaShape_Perimeter</th>\n",
       "      <th>AreaShape_Solidity</th>\n",
       "      <th>AreaShape_Orientation</th>\n",
       "      <th>AreaShape_MeanRadius</th>\n",
       "      <th>AreaShape_FormFactor</th>\n",
       "      <th>AreaShape_Extent</th>\n",
       "      <th>Neighbors_NumberOfNeighbors_1</th>\n",
       "      <th>Intensity_MeanIntensityEdge_Hoechst</th>\n",
       "      <th>Intensity_MeanIntensity_Ph_Golgi</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>count</th>\n",
       "      <td>82167.000000</td>\n",
       "      <td>82167.000000</td>\n",
       "      <td>82167.000000</td>\n",
       "      <td>82167.000000</td>\n",
       "      <td>82167.000000</td>\n",
       "      <td>82167.000000</td>\n",
       "      <td>82167.000000</td>\n",
       "      <td>82167.000000</td>\n",
       "      <td>82167.000000</td>\n",
       "      <td>82167.000000</td>\n",
       "      <td>82167.000000</td>\n",
       "      <td>82167.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>mean</th>\n",
       "      <td>2530.724135</td>\n",
       "      <td>1.149703</td>\n",
       "      <td>0.736120</td>\n",
       "      <td>197.172422</td>\n",
       "      <td>0.958718</td>\n",
       "      <td>-1.448501</td>\n",
       "      <td>8.439737</td>\n",
       "      <td>0.783482</td>\n",
       "      <td>0.702538</td>\n",
       "      <td>0.309674</td>\n",
       "      <td>0.056282</td>\n",
       "      <td>0.401329</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>std</th>\n",
       "      <td>1249.631128</td>\n",
       "      <td>0.489106</td>\n",
       "      <td>0.125371</td>\n",
       "      <td>52.914846</td>\n",
       "      <td>0.031324</td>\n",
       "      <td>53.450115</td>\n",
       "      <td>1.944945</td>\n",
       "      <td>0.081891</td>\n",
       "      <td>0.070925</td>\n",
       "      <td>0.525328</td>\n",
       "      <td>0.021924</td>\n",
       "      <td>0.169783</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>min</th>\n",
       "      <td>315.000000</td>\n",
       "      <td>1.000198</td>\n",
       "      <td>0.078355</td>\n",
       "      <td>65.350000</td>\n",
       "      <td>0.277643</td>\n",
       "      <td>-89.999505</td>\n",
       "      <td>1.290069</td>\n",
       "      <td>0.028206</td>\n",
       "      <td>0.017977</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.015199</td>\n",
       "      <td>0.013581</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25%</th>\n",
       "      <td>1832.000000</td>\n",
       "      <td>1.068910</td>\n",
       "      <td>0.678749</td>\n",
       "      <td>170.738000</td>\n",
       "      <td>0.955462</td>\n",
       "      <td>-49.216350</td>\n",
       "      <td>7.365227</td>\n",
       "      <td>0.751334</td>\n",
       "      <td>0.658838</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.047772</td>\n",
       "      <td>0.282870</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>50%</th>\n",
       "      <td>2356.000000</td>\n",
       "      <td>1.114606</td>\n",
       "      <td>0.764062</td>\n",
       "      <td>192.980000</td>\n",
       "      <td>0.967810</td>\n",
       "      <td>-2.880187</td>\n",
       "      <td>8.395238</td>\n",
       "      <td>0.798505</td>\n",
       "      <td>0.711654</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.052420</td>\n",
       "      <td>0.359791</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>75%</th>\n",
       "      <td>2957.000000</td>\n",
       "      <td>1.179926</td>\n",
       "      <td>0.823125</td>\n",
       "      <td>217.846000</td>\n",
       "      <td>0.972880</td>\n",
       "      <td>46.403110</td>\n",
       "      <td>9.412115</td>\n",
       "      <td>0.834636</td>\n",
       "      <td>0.755102</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.059720</td>\n",
       "      <td>0.476709</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>max</th>\n",
       "      <td>17597.000000</td>\n",
       "      <td>57.248129</td>\n",
       "      <td>0.999958</td>\n",
       "      <td>2206.184000</td>\n",
       "      <td>1.042274</td>\n",
       "      <td>89.999917</td>\n",
       "      <td>23.442325</td>\n",
       "      <td>0.951967</td>\n",
       "      <td>0.884170</td>\n",
       "      <td>9.000000</td>\n",
       "      <td>0.999999</td>\n",
       "      <td>0.999873</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "       AreaShape_Area  AreaShape_Compactness  AreaShape_Eccentricity  \\\n",
       "count    82167.000000           82167.000000            82167.000000   \n",
       "mean      2530.724135               1.149703                0.736120   \n",
       "std       1249.631128               0.489106                0.125371   \n",
       "min        315.000000               1.000198                0.078355   \n",
       "25%       1832.000000               1.068910                0.678749   \n",
       "50%       2356.000000               1.114606                0.764062   \n",
       "75%       2957.000000               1.179926                0.823125   \n",
       "max      17597.000000              57.248129                0.999958   \n",
       "\n",
       "       AreaShape_Perimeter  AreaShape_Solidity  AreaShape_Orientation  \\\n",
       "count         82167.000000        82167.000000           82167.000000   \n",
       "mean            197.172422            0.958718              -1.448501   \n",
       "std              52.914846            0.031324              53.450115   \n",
       "min              65.350000            0.277643             -89.999505   \n",
       "25%             170.738000            0.955462             -49.216350   \n",
       "50%             192.980000            0.967810              -2.880187   \n",
       "75%             217.846000            0.972880              46.403110   \n",
       "max            2206.184000            1.042274              89.999917   \n",
       "\n",
       "       AreaShape_MeanRadius  AreaShape_FormFactor  AreaShape_Extent  \\\n",
       "count          82167.000000          82167.000000      82167.000000   \n",
       "mean               8.439737              0.783482          0.702538   \n",
       "std                1.944945              0.081891          0.070925   \n",
       "min                1.290069              0.028206          0.017977   \n",
       "25%                7.365227              0.751334          0.658838   \n",
       "50%                8.395238              0.798505          0.711654   \n",
       "75%                9.412115              0.834636          0.755102   \n",
       "max               23.442325              0.951967          0.884170   \n",
       "\n",
       "       Neighbors_NumberOfNeighbors_1  Intensity_MeanIntensityEdge_Hoechst  \\\n",
       "count                   82167.000000                         82167.000000   \n",
       "mean                        0.309674                             0.056282   \n",
       "std                         0.525328                             0.021924   \n",
       "min                         0.000000                             0.015199   \n",
       "25%                         0.000000                             0.047772   \n",
       "50%                         0.000000                             0.052420   \n",
       "75%                         1.000000                             0.059720   \n",
       "max                         9.000000                             0.999999   \n",
       "\n",
       "       Intensity_MeanIntensity_Ph_Golgi  \n",
       "count                      82167.000000  \n",
       "mean                           0.401329  \n",
       "std                            0.169783  \n",
       "min                            0.013581  \n",
       "25%                            0.282870  \n",
       "50%                            0.359791  \n",
       "75%                            0.476709  \n",
       "max                            0.999873  "
      ]
     },
     "execution_count": 6,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.describe()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
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       "        <matplotlib.axes._subplots.AxesSubplot object at 0x1115a5750>,\n",
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      ]
     },
     "execution_count": 7,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
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r3HvX7brHQ91mUO1jsKqxVzVuqG7sVY3bbCTqfpy7fVXXGLS+h3RlRnuXbds2\nt7FNY+eBCTMzMzMzMzMrjXNMjKx+nGPCrH48b7m1nGPCzNrBfXXrlH1ObVYFncwxUZdcFs4xYWZm\nSDpa0pckPSTpR5LOlDRN0lpJD0u6XdLRhe2XSdqYt59fKD9D0gOSHpG0slA+SdIteZ+7JJ3Q6Taa\nmVWVpOMl3Zn75wclfTiXu582s3HPAxNNGq9z71236x4PddfIZ4DVEXEK8Hrgx8BS4I6IOBm4E1gG\nIGkOsAA4BTgXuErpqwGAq4GLI2I2MFvSObn8YmBnRMwCVgJXdqZZnVHlY7CqsVc1bqhu7FWNuyb2\nAR+JiNcCbwE+JOk1uJ9uubof525f1TXKDqAreWDCzKwGJB0F/H8RcR1AROyLiGeA84Hr82bXAxfk\nx+cBt+TtNgEbgXmSZgBHRsS9ebsbCvsUX+s24B1tbJKZWa1ExJMRsT4/fhZ4CDge99NmZs4xMcL6\ncY4Js/qpw7xlSa8H/grYQLpa4gfAJcCWiJhW2G5nREyX9Dngroi4OZdfA6wGNgPLI2J+Ln8b8LGI\nOE/Sg8A5EbE1P7cRODMidg6KxTkmzKzl6tBX95PUQ/ra9HXAY2X202Y2NOeYGEUNzjFhZjbuTQTO\nAP5XRJwB/D/S5cGD/wO18j9SLT4gmJl1kqQjSFczLM5XTrifNrNxb2LZAVRF2XPve3t7Xbfrdt12\nMI+TvnX7QV7/MmlgYpuk4yJiW778d3t+fgvwysL+x+ey4cqL+2yVNAE4avC3cP36+vro6elh9+7d\n7Nv3K9IXg7352Ub+2er1vJb76/7jqdn1/rLR7l/m+vr167nkkku6Jp5m1we/92XHM5L1wW0oO55m\n11euXMncuXO7Jp5DHR+rVq0CoKenhzqQNJE0KHFjRHwtF5faTwNMnTq1MsdFM+tVOs7dvu5t3379\n670tWl8JzC2s92/Tqtcfbj2vdWs/HRGVWVK45Vi3bl0AAdGhhQF1l9lu1+266153/nsrvY8b6wJ8\nB5idH18GrMjLkly2BLgiP54D3A9MAl4F/IT90/vuBuaRvmlbDbwrly8CrsqPF5LmPh+0r96xY0dM\nnjy9I/3mlCnHxPbt20d9HJR5DI5VVWOvatwR1Y29qnFH1KOvJuWD+PSgslL76Tqq8nHeDLevM9r3\n2W/dAZ/7Ov35sp3vWYyyf3SOiZHVj3NMmNVPXeYt5zwT1wAvAn4KfACYANxK+gZtM7AgInbl7ZeR\nMrjvJV0Yf0wWAAAgAElEQVRSvDaXvwFYBUwh3eVjcS6fDNwInA48BSyMlJBtcBwv9NXOMWFmrVL1\nvlrSW4HvAg+STigD+Djw95TYT5vZ0JxjYhQ1jKGf9sDEyOrHAxNm9VP1k91u44EJM2sH99WtU/Y5\ntVkVeGBiFDU4+WX7HTjXyHW7btddl7rNoNrHYFVjr2rcUN3Yqxq32UjU/Th3+6quUXYAXckDE2Zm\nZmZmZmZWGk/lGFn9eCqHWf348uDW8lQOM2sH99WtU/Y5tVkVeCrHKGpo51QOSZMl3SPpfkk/kvTJ\nXD5N0lpJD0u6XdLRhX2WSdoo6SFJ8wvlZ0h6QNIjklYWyidJuiXvc5ekE0bTGDMzMzMzMzOrlkMO\nTETEHuDsiDgdOA14e84qvBS4IyJOBu4ElgFImgMsAE4BzgWuUhpuArgauDgiZgOzJZ2Tyy8GdkbE\nLNKNXa9sVQNbZbzOvXfdrns81G0G1T4Gqxp7VeOG6sZe1bjNRqLux7nbV3WNsgPoSk3lmIiI3fnh\n5LzP08D5wPW5/Hrggvz4PNI9k/fl2xNtBOZJmgEcGRH35u1uKOxTfK3bgHeMqjVmZmZmZmZmVilN\n5ZiQdBhwH/BrwOcj4mOSno6IaYVtdkbEdEmfA+6KiJtz+TXAatJ9mZdHxPxc/jbgYxFxnqQHgXMi\nYmt+biNwZkTsHBSHc0yYWct53nJrOceEmbWD++rWKfuc2qwKnGNiFDWMoZ+e2MxGEfE8cLqko4Db\nJfVy4LvXylb6n46ZmZmZmZnZODCi24VGxC9IVz+8Edgm6TiAPE1je95sC/DKwm7H57LhygfsI2kC\ncNTgqyX69fX1cfnll3P55ZezcuXKAXOQGo1G29b3l+9/Pj1u33p//cUYOtXe/vWVK1eOaf+xrHfy\n9zt4ffB738n6/ftuf32NRoO+vr4X+hMzYMDxUjVVjb2qcUN1Y69q3GYjUffj3O2rukbZAXSniDjo\nAhwDHJ0fvxj4LikHxApgSS5fAlyRH88B7gcmAa8CfsL+KSN3A/NIV0SsBt6VyxcBV+XHC0k5KoaK\nJcqybt26AAKiQwsD6i6z3a7bdde97vz3dsj+0EtzS7H/2rFjR0yePL0j/eaUKcfE9u3bm/ytH6jM\nY3Csqhp7VeOOqG7sVY07wn11K5cyz6k7ocrHeTPcvs5o32e/dQd87uv058t2vmcxyn7pkDkmJJ1K\nSkwp0hUWN0bEn0maDtxKutJhM7AgInblfZaR7rSxF1gcEWtz+RuAVcAUYHVELM7lk4EbgdOBp4CF\nkRJnDo4lDhVvOznHhFk9ed5yaznHhJm1g/vq1in7nNqsCpxjYhQ1jKGfbir5ZbcouxP1wIRZPdXl\nZFfSJuAZ4Hlgb0TMkzQN+CJwIrCJNIj8TN5+GXARsI+Bg8hnMHAQ+ZJcPol0R6U3ADuA90TEo0PE\n4YEJM2u5uvTV3aDsc2qzKvDAxChqGEM/PaIcE+NZmXOdXLfrdt3WpOeB3og4PSLm5bKlwB0RcTJw\nJ7AMQNIcYAFwCnAucJXSf2CAq4GLI2I2MFvSObn8YmBnRMwCVgJXdqJRnVLlY7CqsVc1bqhu7FWN\n22wk6n6cu31V1yg7gK7kgQkzs/ron3JXdD5pOh755wX58XmkfD778tS5jcC8nMz4yIi4N293Q2Gf\n4mvdRso3ZGZmZmY2JpWeyrF3715++tOfdqTuSZMmcdJJJ+GpHGb1U5fLgyX9FNgFPAf8ZURcI+np\niJhW2GZnREyX9Dngroi4OZdfQ0pKvBlYHhHzc/nbgI9FxHmSHgTOiYit+bmNwJkx6C5KnsphZu1Q\nl766G3gqh9mheSrHKGoYQz89sdXBdNInPrGCK674DJMmTW97Xf/8z4+1vQ4zszF6a0Q8IellwFpJ\nD3Pgf7pW/kfyBwQzMzMzG7NKD0zs2vUMe/Z8jD17Ptr2ug4//PXs3ftA2+sZSqPRoLe313W7btdt\nBxURT+SfP5f0VdLtmbdJOi4ituVpGtvz5ltId1Xqd3wuG668uM9WSROAowZfLdGvr6+Pnp4edu/e\nzb59vyLNp+zNzzbyz1av57U8N7X/eGp2vb9stPuXub5+/XouueSSromn2fXB733Z8YxkfXAbyo6n\n2fWVK1cyd+7cronnUMfHqlWrAOjp6cGsWXU/p3D7qq7B/nMYe8Fo7zNaxsKge68uXnxpwJUdue/r\n4Yef1sF7zA68z2yZ9/J13a57PNTNGO653C0L8BLgiPz4cOB7wHxgBbAkly8BrsiP5wD3A5OAVwE/\nYf/0vrtJgxoiTe94Vy5fBFyVHy8k5ag4aF+9Y8eOmDx5ekf6zSlTjont27eP+jjolvumj0ZVY69q\n3BHVjb2qcUfUo6/ulmXwOXXdVPk4b4bb1xnt++y37oDPfZ3+fNnO9yxG2S9VOsfEJZd8lM985lig\n/VdMHH30WTzzzHfBOSbMaqcO85YlvQr4CqmTmgjcFBFXSJoO3Eq60mEz6Xahu/I+y0h32tjLwNuF\nvoGBtwtdnMsnAzcCpwNPAQsjJc4cHMsLfbVzTJhZq9Shr+4WzjFhdmjOMTGKGsZrjgkzM0si4mfA\n3CHKdwLvHGaf5cDyIcrvA04donwP6RajZmZmZmYt49uFNmnfvl2l1V2cz+q6XbfrNmuPKh+DVY29\nqnFDdWOvatxmI1H349ztq7pG2QF0JQ9MmJmZmZl1gKRrJW2T9ECh7DJJj0v6YV7eVXhumaSNkh6S\nNL9QfoakByQ9ImlloXySpFvyPndJOqFzrTMzGz3nmGiSc0yY1ZfnLbeWc0yYWTvUoa+W9DbgWeCG\niDgtl10G/DIiPj1o21OAm4E3ke6QdAcwKyJC0j3AH0TEvZJWA5+JiNslfRA4NSIWSXoP8FsRsXCI\nOJxjwuwQnGNiFDWMoZ/2FRNmZmZmZh0QEf8XeHqIp4Y6kT+fdPejfTnR8EZgXr7185ERcW/e7gbg\ngsI+1+fHtwHvaFXsZt1kxoweJLV1sc7ywESTnGPCdbvu+tZtBtU+Bqsae1XjhurGXtW4x4E/kLRe\n0jWSjs5lM4HHCttsyWUzgccL5Y/nsgH7RMRzwK58d6Zxpe7HudsH27ZtJl1l0M6lXRptfO3q8sCE\nmZmZmVl5rgJOioi5wJPAp1r42v7a18wqwbcLbdLEiVNLq7u3t9d1u27XbdZmVT4Gqxp7VeOG6sZe\n1bjrLCJ+Xlj9AvCN/HgL8MrCc8fnsuHKi/tslTQBOCrfNvoAfX199PT0ADB16lTmzp37wvHR/411\nVdf7y7olHrevPe3br3+9t8Xr7Xr9/rLh1ltdX/96Xmvh76vRaLBq1SqAF/qT0XLyyyY5+aVZfdUh\noVo3cfJLM2uHuvTVknqAb0TEqXl9RkQ8mR//IfCmiHivpDnATcCZpCka32Z/8su7gQ8D9wLfBD4b\nEWskLQJel5NfLgQucPJLq6POJKZ08ssR1+Dkl+3nHBOu23XXt24zqPYxWNXYqxo3VDf2qsZdF5Ju\nBr4PzJb0qKQPAFfmW3+uB84C/hAgIjYAtwIbgNXAosJowoeAa4FHgI0RsSaXXwscI2kjcAmwtENN\n6yp1P87dvqprlB1AV/JUDjMzMzOzDoiI9w5RfN1Btl8OLB+i/D7g1CHK9wALxhKjmVkZPJWjSZ7K\nYVZfdbk8uFt4KoeZtYP76tbxVA6rOk/lGF09nsphZmZtJ+kwST+U9PW8Pk3SWkkPS7q9cAs6JC2T\ntFHSQ5LmF8rPyJcUPyJpZaF8kqRb8j53STqhs60zMzMzs7rywESTnGPCdbvu+tZdI4tJc5H7LQXu\niIiTgTuBZQA5odoC4BTgXOAqpa8eAK4GLo6I2aQ50Ofk8ouBnRExC1gJXNnuxnRalY/BqsZe1bih\nurFXNW6zkaj7ce72VV2j7AC6kgcmzMxqQNLxwG8C1xSKzweuz4+vBy7Ij88DbomIfRGxCdgIzJM0\nAzgyIu7N291Q2Kf4WrcB72hHO8zMzMxs/HGOiSY5x4RZfdVh3rKkLwGfAI4G/igizpP0dERMK2yz\nMyKmS/occFdE3JzLryFlfN8MLI+I+bn8bcDH8ms9CJwTEVvzcxuBMyNi5xCxOMeEmbVcHfrqbuEc\nE1Z1zjExunqcY8LMzNpG0r8GtkXEetJ/t+G08r+RPxyYmZmZWUt4YKJJzjHhul13feuugbcC50n6\nKfA3wNsl3Qg8Kek4gDxNY3vefgvwysL+x+ey4coH7CNpAnDUUFdL9Ovr6+Pyyy9nxYoV7Nv3KwbO\np2y0db3RaAw4nppd7y8b7f5lrq9cuXJM+5e1Pvi9LzuekawPbkPZ8TS7vnLlyq6K52DrjUaDvr6+\nF/oTs2YVj6k6cvuqrlF2AN0pIiqzpHD3W7z40oArA6Lty+GHnxZAR+pKy/62rlu3Lsriul33eKg7\n/72V3se1YgHOAr6eH18JLMmPlwBX5MdzgPuBScCrgJ+wf2rf3cA80hURq4F35fJFwFX58UJSjopD\n9tU7duyIyZOnd6TfnDLlmNi+ffuoj4Myj8GxqmrsVY07orqxVzXuiHr11WUvg8+p66bKx3kz3L7o\n0OeydtWxrkP1HNiedhtLP+0cE01yjgmz+qrTvGVJZ7E/x8R04FbSlQ6bgQURsStvt4x0p429wOKI\nWJvL3wCsAqYAqyNicS6fDNwInA48BSyMlDhzqBhe6KudY8LMWqVOfXXZnGPCqs45JkZXT7v/7sfS\nT09sdTBmZlaeiPgO8J38eCfwzmG2Ww4sH6L8PuDUIcr3kG4xamZmZmbWUofMMSHpeEl3SvqRpAcl\nfTiXT5O0VtLDkm6XdHRhn2WSNkp6SNL8QvkZkh6Q9IiklYXySZJuyfvcJemEVjd0rJxjwnW77vrW\nbQbVPgarGntV44bqxl7VuM1Gou7HudtXdY2yA+hKzSS/3Ad8JCJeC7wF+JCk1wBLgTsi4mTgTmAZ\ngKQ5pG/VTgHOBa5SutYG4Grg4oiYDcyWdE4uvxjYGRGzgJWkedFmZmZmZmZmVnMjzjEh6avAX+Tl\nrIjYlrO9NyLiNZKWkpJerMjbfwu4nDS/+c6ImJPLF+b9PyhpDXBZRNyTs70/GREHTBJ2jgkzawfP\nW24t55gws3ZwX906zjFhVeccE6Orp5tzTIzodqGSeoC5pKztx0XENoCIeBI4Nm82E3issNuWXDYT\neLxQ/nguG7BPRDwH7MpJ28zMzMzMzMysxpoemJB0BHAbKXv7sxw4rNPK4ZdhR1n672V9+eWXc//9\nPwD+qfBsg4Fzdlq3vj/HRHtef6j1/nt5F+/n3el7ia9cuXJM+49lvcx7rQ9+7ztZv3/f7a+v0WjQ\n19f3Qn9iBgw4XqqmqrFXNW6obuxVjdtsJOp+nLt9VdcoO4Du1Mw9RUl371hDGpToL3uIdNUEwAzg\nofx4KbCksN0a4MziNrl8IXB1cZv8eAKwfZg4BtwndfHiSwOu7Mh9Xw8//LQO3mN24H1my7xXset2\n3eOhbsZwz2UvB++rd+zYEZMnT+9IvzllyjGxffv2Jn/rB6ryfeGrGntV446obuxVjTvCfXUrl8Hn\n1HVT5eO8GW5fdOhzWbvqWNeheg5sT7uNpZ9uKseEpBuAHRHxkULZClLCyhWSlgDTImJpTn55Ux6M\nmAl8G5gVESHpbuDDwL3AN4HPRsQaSYuA10XEopx74oKIWDhEHFGM1zkmzKwVPG+5tZxjwszawX11\n6zjHhFWdc0yMrp52/92PpZ+e2MSLvxV4H/CgpPtJ79rHgRXArZIuIiW2XAAQERsk3QpsAPYCiwo9\n34eAVcAUYHVErMnl1wI3StoIPEW6msLMzMzMzMzMau6QOSYi4nsRMSEi5kbE6RFxRkSsiYidEfHO\niDg5IuZHxK7CPssj4tURcUpErC2U3xcRp0bErIhYXCjfExELcvmbI2JTy1s6RvtzTHRemfOsXLfr\nHg91m0G1j8Gqxl7VuKG6sVc1brORqPtx7vZVXaPsALrSiO7KYWZmZmZmZmbWSk3lmOgWzjFhZu3g\necut5RwTZtYO7qtbxzkmrOqcY2J09XRzjglfMWFmZmZmZmZmpfHARJOcY8J1u+761l0HkiZLukfS\n/ZJ+JOmTuXyapLWSHpZ0u6SjC/ssk7RR0kOS5hfKz5D0gKRHJK0slE+SdEve5y5JJ3S2le1V5WOw\nqrFXNW6obuxVjbsuJF0raZukBwpl7qdbrO7HudtXdY2yA+hKHpgwM6uBiNgDnB0RpwOnAW/Pd1Va\nCtwREScDdwLLAPKtnRcApwDnAlcpXRcJcDVwcUTMBmZLOieXX0y6TfQsYCVwZWdaZ2ZWG9cB5wwq\ncz9tZuOec0w0yTkmzOqrbvOWJb2ENBzfB/wtcFZEbJM0A2hExGskLQUiIlbkfb4FXE66/fOdETEn\nly/M+39Q0hrgsoi4R9IE4MmIOCChg3NMmFk71KWvlnQi8I2IOC2v/5gS+2mzKnKOidHV4xwTZmbW\ndpIOk3Q/8CTpxHYDcFxEbAOIiCeBY/PmM4HHCrtvyWUzgccL5Y/nsgH7RMRzwC5J09vUHDOz8eJY\n99NmNt5NLDuAqig7x0Rvb6/rdt2u2w4qIp4HTpd0FHC7pF4OHIJv5VD5sCPifX199PT0sHv3bvbt\n+xXpAo7e/Gwj/2z1el7Lc1P7j6dm1/vLRrt/mevr16/nkksu6Zp4ml0f/N6XHc9I1ge3oex4ml1f\nuXIlc+fO7Zp4DnV8rFq1CoCenh7GkY720wBTp06tzHHRzHqVjnO3b/Tt269/vbfF6+16/ZXA3MJ6\n/zatev3h1vNat/bTEVGZJYW73+LFlwZcGRBtXw4//LQAOlJXWva3dd26dVEW1+26x0Pd+e+t9D6u\nlQvwJ8ClwEOkqyYAZgAP5cdLgSWF7dcAZxa3yeULgauL2+THE4Dtw9T9wnu7Y8eOmDx5ekf6zSlT\njont27eP+jgo8xgcq6rGXtW4I6obe1XjjqhPXw2cCDxQWC+1n66jKh/nzXD7okOfy9pVx7oO1XNg\ne9ptLP20c0w0yTkmzOqrDvOWJR0D7I2IZyS9GLgd+G/AfFIitBWSlgDTImJpTqp2E+kkdybwbWBW\nRISku4EPA/cC3wQ+GxFrJC0CXhcRi/Kc5gsiYuEQsbzQVzvHhJm1Sh36agBJPaQcE6fm9RWU2E+b\nVZFzTIyunnb/3Y+ln/ZUDjOzeng5cH3O2H4YcGNE/F3OOXGrpItICdMWAETEBkm3AhuAvcCiwlnq\nh4BVwBRgdUSsyeXXAjdK2gg8RfqWzszMmiTpZtL11S+V9ChwGXAF8CX302Y2nh1WdgBVUXaOCdft\nul23HUxEPBgRZ0TE6RHx+oj4s1y+MyLeGREnR8T8iNhV2Gd5RLw6Ik6JiLWF8vsi4tSImBURiwvl\neyJiQS5/c0Rs6mgj26zKx2BVY69q3FDd2Ksad11ExHsj4hURMTkiToiI6yLiaffTrVX349ztq7pG\n2QF0JQ9MmJmZmZmZmVlpnGOiSc4xYVZfdZm33C2cY8LM2sF9des4x4RVnXNMjK6ebs4x4SsmzMzM\nzMzMzKw0HphoknNMuG7XXd+6zaDax2BVY69q3FDd2Ksat9lI1P04d/uqrlF2AF3JAxNmZmZmZmZm\nVhrnmGiSc0yY1ZfnLbeWc0yYWTu4r24d55iwqnOOidHV4xwTZmZmZmZmZmZD8MBEk5xjwnW77vrW\nbQbVPgarGntV44bqxl7VuM1Gou7HudtXdY2yA+hKHpgwMzMzMzMzs9I4x0STnGPCrL48b7m1nGPC\nzNrBfXXrOMeEVZ1zTIyuHueYMDMzMzMzMzMbggcmmuQcE67bdde37jqQdLykOyX9SNKDkj6cy6dJ\nWivpYUm3Szq6sM8ySRslPSRpfqH8DEkPSHpE0spC+SRJt+R97pJ0Qmdb2V5VPgarGntV44bqxl7V\nuM1Gou7HudtXdY2yA+hKHpgwM6uHfcBHIuK1wFuAD0l6DbAUuCMiTgbuBJYBSJoDLABOAc4FrlK6\nLhLgauDiiJgNzJZ0Ti6/GNgZEbOAlcCVnWmamZmZVcGMGT1IGtNy9tlnH3Ibqx/nmGiSc0yY1Vcd\n5y1L+irwF3k5KyK2SZoBNCLiNZKWAhERK/L23wIuBzYDd0bEnFy+MO//QUlrgMsi4h5JE4AnI+KA\nhA7OMWFm7VDHvroszjFh7dKZ3A/QmbwMdWpLqsc5JszMrGMk9QBzgbuB4yJiG0BEPAkcmzebCTxW\n2G1LLpsJPF4ofzyXDdgnIp4Ddkma3pZGmJmZmdm4cciBCUnXStom6YFC2bibs+wcE67bdde37jqR\ndARwG7A4Ip7lwCH4Vg6V1+qbyyofg1WNvapxQ3Vjr2rcZiNR9+O87u2rfw6GRtkBdKWJTWxzHfA5\n4IZCWf+c5SslLSHNWV46aM7y8cAdkmbla8X65yzfK2m1pHMi4nYKc5YlvYc0Z3lhy1poZjZOSJpI\nGpS4MSK+lou3STquMJVjey7fAryysPvxuWy48uI+W/NUjqMiYudQsfT19dHT08Pu3bvZt+9XpH/C\nvfnZRv7Z6vW8lk/Yent7R7Q+1v3LXF+/fn1XxTMe1vt1SzzNrq9fv76r4jnYeqPRYNWqVQD09PRg\nZmb11VSOCUknAt+IiNPy+o/p8JzlvJ9zTJhZy9Vl3rKkG4AdEfGRQtkK0uDvijyQPC0i+geSbwLO\nJE3R+DYwKyJC0t3Ah4F7gW8Cn42INZIWAa+LiEW5H78gIg4YSHaOCTNrh7r01d3AOSasXZxjorvr\n6eYcE81cMTGUY4tzliUV5yzfVdiuf87yPpqcsyxpl6Tpw30LZ2ZmB5L0VuB9wIOS7if9h/s4sAK4\nVdJFpEHiBQARsUHSrcAGYC+wqHCW+iFgFTAFWB0Ra3L5tcCNkjYCT+Gr28zMzMysBVqV/LL2c5ad\nY8J1u+761l0HEfG9iJgQEXMj4vSIOCMi1kTEzoh4Z0ScHBHzI2JXYZ/lEfHqiDglItYWyu+LiFMj\nYlZELC6U74mIBbn8zRGxqcPNbKsqH4NVjb2qcUN1Y69q3GYjUffjvO7tq38OhkbZAXSl0V4xUcqc\nZdg/bxng/vt/AJxceLaRf/a2ab2/rF2vP3C9G+axljlvuUrzYFu53s+/7/bV1/C8ZTMzMzOzrtFs\njokeUo6JU/N6x+cs53qdY8LMWs7zllvLOSbMrB3q3ldL2gQ8AzwP7I2IeZKmAV8ETgQ2AQsi4pm8\n/TLgItKU6cX9V75JOoOB0/EuGaIu55iwtnCOie6up5tzTBxyKoekm4HvA7MlPSrpA8AVwG9Iehh4\nR14nIjYA/XOWV3PgnOVrgUeAjYPmLB+T5yxfQrrjh5mZmZnZePI80Jun483LZf13wjsZuJN0JzwG\n3QnvXOAqpU+EsP9OeLNJ5+/ndLIRZmajcciBiYh4b0S8IiImR8QJEXFdRDw93uYsO8eE63bd9a3b\nDKp9DFY19qrGDdWNvapxjxPiwHPz84Hr8+PrgQvy4/OAWyJiXz533gjMy1Osj4yIe/N2NxT2GTfq\nfpzXvX31z8HQKDuArtSq5JdmZmZmZjZ6AXxb0r2Sfi+XHVe8Ex5QvBPeY4V9+++EN5Ph74RnZta1\nmsox0S2cY8LM2qHu85Y7zTkmzKwd6t5XS3p5RDwh6WXAWlJutq9FxPTCNk9FxEslfQ64KyJuzuXX\nkKZRbwaWR8T8XP424GMRcd6gupxjwtrCOSa6u55uzjEx2rtymJmZmZlZi0TEE/nnzyV9FZhHa++E\nN0DxTndTp05l7ty5pd+ZzOv1WG//nRL71znE893++v3r/WXtev3+9bzWrXe6i4jKLCnc/RYvvjTg\nyoBo+3L44acF0JG60rK/revWrYuyuG7XPR7qzn9vpfdxdVmK/deOHTti8uTpHek3p0w5JrZv397k\nb/1AZR6DY1XV2Ksad0R1Y69q3BH17quBlwBH5MeHA98D5gMrgCW5fAlwRX48B7gfmAS8CvgJ+6+E\nvps0qCHSVRTvGqK+FvxGuleVj/NmdHP7WvN5aV1Tn5U68XmsPa87uH2d+ozZ/r/7sfTTvmLCzMzM\nzKxcxwFfkRSkK5pvioi1kn4A3CrpItI0jQUAEbFBUv+d8PZy4J3wVrH/dqFrMDPrcs4x0STnmDCr\nr7rPW+4055gws3ZwX906zjFh7eIcE91dT7v/7sfST/uuHGZmZmZmZmZWGg9MNGnfvl2l1V3mvYpd\nt+seD3XXgaRrJW2T9EChbJqktZIelnS7pKMLzy2TtFHSQ5LmF8rPkPSApEckrSyUT5J0S97nLkkn\ndK51nVHlY7CqsVc1bqhu7FWN22wk6n6c1719ByafrJtG2QF0JQ9MdK3JSEISZ5999guPW73MmNFT\ndkPNrDWuA84ZVLYUuCMiTgbuBJYBSJpDmqd8CnAucJXStZcAVwMXR8RsYLak/te8GNgZEbOAlcCV\n7WyMmZmZmY0fzjHRpDJyTNRlrpFZt6vLvGVJJwLfiIjT8vqPgbNi/23mGhHxGklLSVmTV+TtvgVc\nTkqsdmdEzMnlC/P+H5S0BrgsIu6RNAF4MiKGTObgHBNm1g516au7gXNMWLs4x0R31+McE2ZmVoZj\nI2IbQEQ8CRyby2cCjxW225LLZgKPF8ofz2UD9omI54Bdkqa3L3QzMzNrlRkzetp2BXZxMRstD0w0\nqcwcE2XOQxqvOQdc9/iqexxp5TB57c4+qnwMVjX2qsYN1Y29qnGbjUTdj/PRtG/bts2k04B2L63Q\naNHrdKtG2QF0pYllB2BmZm2zTdJxhakc23P5FuCVhe2Oz2XDlRf32ZqnchwVETuHq7ivr4+enh52\n797Nvn2/Iv0T7s3PNvLPVq/ntXzC1tvbO6L1se5f5vr69eu7Kp7xsN6vW+Jpdn39+vVdFc/B1huN\nBqtWrQKgp6cHMzOrL+eYaJJzTJjVV13mLUvqIeWYODWvryAlrFwhaQkwLSKW5uSXNwFnkqZofBuY\nFRNanIoAACAASURBVBEh6W7gw8C9wDeBz0bEGkmLgNdFxKKce+KCiFg4TBzOMWFmLVeXvrobOMfE\n+FOv3A+dqqdObUn1dHOOCV8xYWZWA5JuJl1C8FJJjwKXAVcAX5J0ESmx5QKAiNgg6VZgA7AXWFQ4\nQ/0QsAqYAqyOiDW5/FrgRkkbgaeAIQclzMzMzMxGyjkmmuQcE67bdde37jqIiPdGxCsiYnJEnBAR\n10XE0xHxzog4OSLmR8SuwvbLI+LVEXFKRKwtlN8XEadGxKyIWFwo3xMRC3L5myNiU4eb2HZVPgar\nGntV44bqxl7VuM1Gou7Hed3bV/8cDI2yA+hKHpgwMzMzMzMzs9I4x0STnGPCrL48b7m1nGPCzNrB\nfXXrOMfE+OMcE91aR2fr6eYcE75iwszMzMzMzMxK44GJJjnHhOt23fWt2wyqfQxWNfaqxg3Vjb2q\ncZuNRN2P87q3r/45GBplB9CVPDBhZmZmZmZmZqVxjokmOceEWX153nJrOceEmbWD++rWcY6J7jFj\nRg/btm3uUG31ypfgHBMjNQXY0/ZaRttPT2x1IGZmZmZmZnZoaVCiUx9+bXzbQ2cGc0bHUzma5BwT\nrtt117duM6j2MVjV2KsaN1Q39qrGbTYS9T/OG2UH0GaNsgNos/+fvXuPt6uq773/+UIEvABJRJIa\nLlsqtyg2oAR7sGUrNoB9CtjniCl9lK20T0tQwNpKwmkP+OppuZxW46XYU0EDKRgRq8JjhEDJ7k2C\nEYlQQyFWE0kgGyGAWlok8Hv+mGNlz+zsnbX22muuy1jf9+u1XllzrDnnGGNdfntkrDl+a7jTDehK\nnpgwMzMzMzMzs45xjokGOceEWb68brm1nGPCzKrgWN06zjHRPaTc8hjkVE9OfWlXPc3HaV8xYWZm\nZmZmZmYd0zUTE5JOlfRvkh6WdHGn2zNWvjkm9kZSW26zZw9MqmX9mu/AdVs36/ZYPRW9/B7s1bb3\naruhd9veq+22yck5VjeiVe/z2bMHKh8fN9nDlvSvew13ugEVG+50A7pSV0xMSNoD+DRwCvA64Lck\nHdXZVu3shRd+1sHa11V47lp21oluH6/zeOO3yf4U0rp1Vfbbdbtum6xeiNVT0cvvwV5te6+2G3q3\n7b3abmtc7rG6Ea16n4/+YkaVt2bk/jl2//pRV0xMAPOBDRGxKSKeB1YAZ3S4TTuJ2N7B2jt5tUbn\n6n76adftuq3LdH2snopefg/2att7td3Qu23v1XbbpGQdqxuR//vc/ettufevOd0yMTEHeKS0vTmV\nmZlZ93CsNjPrftnH6npLLD760Y92cJmFmTVjWqcbMHXrgf+v8lq2b3+m8jomtjGTuveedJD/6Ec/\n2lRNs2YdytatG5s6FmDjxuaPnSrXbbl58cWf0444/cILz03p+F5+D/Zq23u13dC7be/Vdlv3e/bZ\nZ3n729/Bv/5rtZepT5v2Ep566gl2vwxiCFjWgtq6dXJiY6cbULGNnW5AxTZ2ugFdqSt+LlTSm4HL\nIuLUtL0YiIi4csx+nW+smWXJP0FXn2O1mXWaY3V9jcRqx2kzq0qzcbpbJib2BB4CTgYeA74F/FZE\nPNjRhpmZ2Q6O1WZm3c+x2sx6UVcs5YiIFyR9AFhFkffiWgdPM7Pu4lhtZtb9HKvNrBd1xRUTZmZm\nZmZmZtafuuVXOeqSdKqkf5P0sKSLW3C+gyTdJel7kh6QdEEqnyFplaSHJN0uaf/SMUskbZD0oKQF\npfLjJN2f2rZ0Em3YQ9J3JN3Szrol7S/pS+lc35N0QhvrXpLqvF/SDZL2qqpuSddKGpF0f6msZXWl\ntq9Ix9wt6ZA6dV+Vzr1O0pcl7deuukuPfVjSi5JmtrNuSR9M539A0hVtfM6Pl/QtSfelf99URd1W\nUIvjdJUmGx+6hZr429UtJO0t6Z70efyepD9P5V3fdpjc3+xuImmjpO/W4mAq6/q2a5JjFRtfI3FZ\n0ifT37Z1kua1u41TUa9/ks5O7//vSvpnScd0op3NavTvahrvPC/pN9vZvqlq8P05mOLXv0pa3e42\nNquB9+YrJX0jfe4ekDTUgWY2bbxx1Dj7TC62RETX3ygmUL4PHAq8BFgHHDXFc84G5qX7r6BYi3cU\ncCXwkVR+MXBFuj8XuI9i+ctAak/tipN7gOPT/ZXAKQ224UPA3wK3pO221E2Rpvh96f40YP921J1e\nvx8Ae6XtLwLnVFU38BZgHnB/qaxldQHnAVen++8GVtSp++3AHun+FcDl7ao7lR8E3Ab8EJiZyo5u\nQ78HKS4nnZa2D2hj3auBBen+acDqKp5z36qJ0xW3t+H40E03Jvm3q9tuwMvSv3sCa4ATe6jtDf3N\n7rYbxd/dGWPKur7tTGKs4tuEz2HduJz+Nn493T8BWNPpdre4f28G9k/3T82tf6X9/p7i569+s9Pt\nbvHrtz/wPWBO2j6g0+1uYd8uZfT/AgcAT5LGyr1wY4L/b5Qen3Rs6ZUrJuYDGyJiU0Q8D6wAzpjK\nCSNia0SsS/d/BjxI8R+3M4Dr0m7XAWem+6dT/Edke0RsBDYA8yXNBvaNiLVpv+tLx0xI0kHAO4Br\nSsWV163iW/pfiYjPp75vj4hn2tTvnwA/B14uaRrwUmBLVXVHxD8DT40pbmVd5XPdTJFkasK6I+LO\niHgxba6heL+1pe7k48AfjfN8VF33eRSDx+1pnyfaWPdjFH/UAKZTvN+gxc+5ARXE6SpNMj50jSb+\ndnWViHg23d2bYuD2FD3Q9kn+ze42YtcrZLu67U2MVWx8jcTlMyj+1hER9wD7S5rV3mY2rW7/ImJN\neu9AMfaa0+Y2TkWjf1c/SDEuebydjWuBRvp3NvDliNgCO40hu10jfdsK7Jvu7ws8WRsr94Ld/H+j\nZtKxpVcmJuYAj5S2N9PCwCJpgGLGZw0wKyJGoBgAAgdO0IYtqWxOas9k21b7T2I5yUc76n4N8ISk\nz6dLUv9G0svaUXdEPAX8JfCjdJ5nIuLONvW75sAW1rXjmIh4AXhapSUSdbyf4tv4ttQt6XTgkYh4\nYMxD7ej3EcCvSlojabWkN7ax7sXAxyT9CLgKWNLGuvtNpXG6TSaKD12pwb9dXSUth7iPYkA2HBHr\n6Y22T+ZvdrcJ4A5JayX9Tirr9rZPdqxi42skLk/097AXTPbvzu8A36i0Ra1Vt3+SXg2cGRGfoZiE\n7CWNvH5HADPT+HGtpPe0rXVT00jfPgu8TtKjwHeBC9vUtnaZdGzplYmJykh6BcUs44Xp26ex2UBb\nnh1U0q8DI+lbr90FkSoyk04DjgP+KiKOA/6D4j9v7ej3YRSXwh4KvJriyonfbkfdu9HKuhr6gyDp\nfwDPR8QX2lG3pJcCl1BcMlaFev2eRnEZ8ZuBjwBfamPd1wIfjIhDKN57n2tj3db72hmLJqUTf7ta\nISJejIhjKa7y+BVJg3R52zv8N7sVTkx/798BnC/pV+jy55wOjlUsT5LeCryPYglQTpayc59yG5vU\nYsFpFEtx/kTSazvbpJZZAnw3Il4NHAv8Vfrb3rd6ZWJiC1BONHcQo5dkNy0tJ7gZWB4RX0vFI7XL\nTNJl3bXLorYAB4/ThonKd+dE4HRJPwC+ALxN0nJgaxvq3kzxzfm30/aXKT7w7ej3m4B/iYht6Rvn\nrwD/rU1117Syrh2PqfjN8P0iYtvuKk+Jbd5BcWlaTdV1/yJFHoXvSvphOs93JB3IxJ+tVvb7EeDv\nANISiRckvbJNdZ8QEV9Ndd8MHD/2PBXW3W8qidNtNlF86CqT/NvVlSLiJxRXjb2J7m/7ZP9md5WI\neCz9+2PgqxSXGHf7cz7ZsYqNr5G4PJUxVac19HdH0huAvwFOT1fv9opG+vcmYEUa3/13iv/cnt6m\n9k1VI/3bDNweEf8VEU8C/wj8UpvaNxWN9O1E0pd1EfHvFDngjmpL69pj0rGlVyYm1gKvlXSopL2A\nhcAtLTjv54D1EfGJUtktwFC6fw7wtVL5QhWZ+V8DvBb4VrqU8BlJ8yUJeG/pmHFFxCURcUhEHJb6\ncldEvAe4tQ11jwCPSDoiFZ1MkVSm8n5TJGl7s6R90jEnA+srrlvsPHvcyrpuSecAeBdw1+7qlnQq\nxaXAp0fEc2PaVFndEfGvETE7Ig6LiNdQBPljI+LxdJ53V9lvioHw29JzcARF8tMn21T3BkknpbpP\npsglUTtPq5/zfldVnK5So/Gh20zmb1fXkHSA0q8opCu5fo0iCW1Xt72Jv9ldQ9LLat/ASXo5sAB4\ngO5/zic7VrHxNRKXb6H4W4ekNwNP15bL9IC6/VPxC1pfBt6T/vPXS+r2L43tauO7m4FFEdHtf3tr\nGnl/fg14i6Q9VSznOoEit1K3a6RvD1IkxidNuB5Bkay4l4wdR5VNPrZEF2T1bORGcfnOQxT/sVjc\ngvOdCLxAkSX1PuA7qY6ZwJ2prlXA9NIxSygyrD5IyvSfyt9I8Yd+A/CJSbbjJEYzfLelboqZxrWp\n739HkRywXXX/EcXg4n6KxFUvqapu4EbgUeA5irwW7wNmtKouiuRtN6XyNcBAnbo3AJvSe+07pF94\naEfdY56XH5B+laNN/Z4GLE/n+jZwUhvrfiPFr2zcB9xNMSHT8rp92/EctTROV9zWScWHbrnRxN+u\nbrkBx6T23kexnvYPU3nXt73Uh4b+ZnfLjSJXQ+298kDtc9kjbZ/UWMW3CZ/HXeIy8HvA/1va59Pp\n7+F3geM63eZW9o9iHf+TpdjzrU63udWvX2nfz9FDv8rRaP+AP2T0/w4f7HSbW9U3il/iuDV97u4H\nfqvTbZ5k/8YbR00pttR+Hs/MzMzMzMzMrO16ZSmHmZmZmZmZmWXIExNmZmZmZmZm1jGemDAzMzMz\nMzOzjvHEhJmZmZmZmZl1jCcmzMzMzMzMzKxjPDFhZmZmZmZmZh3jiQkzMzMzMzMz6xhPTJiZmZmZ\nmZlZx3hiwszMzMzMzMw6xhMTZmZmZmZmZtYxnpgwMzMzMzMzs47xxISZmZmZmZmZdYwnJszMzMzM\nzMysYzwxYWZmZmZmZmYd44kJMzMzMzMzM+sYT0yYmZmZmZmZWcd4YsLMzMzMzMzMOsYTE2ZmZmZm\nZmbWMZ6YMDMzMzMzM7OO8cSEmZmZmZmZmXWMJybMzMzMzMzMrGM8MWFmZmZmZmZmHeOJCTMzMzMz\nMzPrGE9MmJmZmZmZmVnHeGLCzMzMzMzMzDrGExNmZmZmZmZm1jGemDAzMzMzMzOzjvHEhHUFSSdJ\neqTT7TAzy53jrZlZd3J8rp6kcyT9U2n7p5IGOtciq/HEhAEgaVjSNkkvqbCOuZJul/RkqmutpFNL\nu0RVdU+WpEMlvSjpJ+n20/Tvuxo49lJJ17ewLaslvb9V5zOzznK83dkE8fa+NtV9jqTtY+L8J6d4\nzuWS/mer2mhm7eP4vLNSfL53TPkrJf1c0g/a0IZynH5a0nclvXOKp93xHEfEvhGxcYrnsxbwxIQh\n6VBgPvA4cPpu9pvq++VW4HZgFnAgcAHwkymes0oB7B8R+6WgtV9EfKnTjTKz3uV4O6Gx8fbYyZ5A\n0p5N1v3NMXH+gibP0xIteO3NrAmOz7v1MklzS9tnA//exvprcXo68FfAjZJmtLF+awP/8TOA9wJ3\nANcDQ7VCSZ+XdLWkr0v6KTAoaS9JfyFpk6TH0uN7p/2nS7pV0uNpFvhWSXPSY68EBoBrImJ7ut0d\nEd8stUOS/kDSiKQtkspteYek70h6JtV9aemx2mzu76bjtkj6cPmkkhZL+r6kH0taIWl6g8+NdimQ\nXiLpPkkfSNt7SPpnSX8s6RTgEuDd5W/9JO0n6RpJj0p6RNKfSlJ67BxJ/yTpf6eZ839P50HS/wJ+\nBfh0K77JM7OOc7yd2HjxVim2bpS0VdIySfuNacv7JW0C/r5UNiTpR5KekPT7kt6k4lu2bZI+1VBj\npN9Isf6ZVP8fj3n8VyXdreIbvE2SflvSecC7gUtSzP5y2vd1Kr6JfSq14x2l8yyX9GlJ30iv/Vsa\nfL7MrLUcnye2vPycpOdqp6uDJf2CpJtTv/9d0gdLjx0v6ZspBm6R9ClJ00qPvyjp9yQ9nOL0p+u0\nZW/gF0vH35Reh6dSrJ1bemympFvSc7amfFyp7sPS/Z2uUtauyz4+nl6XZ1IsL0/W2FRFhG99fgM2\nUMx8Hg78HHhVKv888BTw5rS9N/Bx4KvA/sDLga8Bf5Yenwm8M+33cuCLwFdK9TxEMUt8BnDgmDac\nBDwPXArsCZwG/AfFN2gAvwq8Lt1/PfAYcHraPhR4EbgB2Cc9/jjwtvT4hcA3gV8AXgJ8BrixznNy\nKPACsOcEj78OeBI4Cvgf6fxKj10KXD9m/68AV6f2HQCsAX43PXYO8BzwfoqB+e8DW0rHrgbe3+n3\niW+++Tb1m+PtuM/JhPE2xcWH0z4vA75ci6+ltiwDXpqei1rZ1cBewK8B/5Vi8CuBVwMjwK+kc5wD\n/OME7RoEjk73j0n9fEfafg3wU+D/pviSZybwhvTYcuB/ls7zEuAHwIfT831yOvaw0v5PAvNr+3f6\nfeqbb/14c3we9zmpxedDgB9RjFPnAutTLPtB2k/AtynGxHtSTL58H/i19PhxFFejKJ3re8AFpXpe\nBG4B9gUOTu1ekB7bEafTuc8HtgH7lo4fovgb8RLgY8B9pcdWpNs+FOP3zZTifupfLR7vNOYeU/cC\nYG2tXuBIYFan37c53TreAN86/AYovpl5FnhF2r4PuDDd/zywbMz+PwNeU9r+5VpQGufc84AnS9uv\nBj5JEfi3A8PAL6bHTkqBd4/S/iOkgdo45/448Jfpfi0QH156/Ergs+n+euCtpcd+geIPzh7jnXvM\nObel21Pp3yNL+3wI+DeKAeVhpfKdJiYoLtP7L2DvUtlC4K50/xzg4dJjL011H5i2PTHhm28Z3Bxv\nJ3xeyvG2Fmv/ID12J/D7pX2PqJ2P0QHzoWPO9QIwu1T2BPDfS9s3kwbEKf4+P6buiZ6HTwFXpvt/\nDHxxgv3GTkwMAo+M2ecm4JLS/td0+v3pm2/9fHN8nvB5qcXUPYBVFP85vxxYws4TEycAG8ccuxi4\ndoLzXgh8ubT9IvDLpe0vAh9J98tx+ufp+TlxN22ens63b2r3z8c8J3/GzhMTL9LYxMRbKcb9J5C+\njPSttTcv5bD3Aqsi4mdp+0sUH8KaHZmBJb2KYjby3nSZ1TbgGxTfQiHppZL+T7rk9WngH4DpUrFk\nISIejYgLIuJwikD3LDtfBvZkRLxY2n4WeEU69wmS7kqXhz0N/B7FlQc1QTEDWrOJIvCT6vpKqc3r\nKQLcrDrPTQCvjIiZETEj/ftQ6fHr07lXRsTukv8cSjGD+1hqw1PAX49p/9YdlUb8Z7r7ijrtM7Pe\n4ng7sVq8rcXaj6XyV6fzl+uaNuZ85bbUPF66/5/jbJfj691j4vy3ACT9crqst/Y8nMvo83Awja+v\nfjXFN41lm4A5pW1n4TfrLMfn+mrLORam+2WHAHNq505j3SUUX84h6fC0pOWx1O4/G9NuKCZgdulz\ncndEzKSYdLgFuLj2gIol1VekJSpPAz9Mz8MBwKsorrIY+5xMWkSsBj5NkeNiRNJfS/JYvYU8MdHH\nJO0DnAW8LQWKx4A/BH5J0hvSblE65AmKQPG6NHibGRHTI2L/9PiHKS5/Oz6K5DS/WqtqbN0RsYXi\ng/36Bpt7A8Ulc3PSuf/PmPOKYqBYcwjwaLr/I+C0UptnRMTLI+KxBurdpe0lV1NcineKpP9WKo8x\n+z1CccVEeZJjekS8gcaMPZ+Z9RjH26bj7aMUg+maQykG0uUBbFUx8gsU/zmpPQ/Xltr4CPDaCY4b\n255H2fn5guI527KbY8ysTRyfG4rPUCyl+3Xg3yNi7ITwIxRXT5TPvX9E/EZ6/DPAgxRXhkynWPKx\nuzH2uCLiWWARcJKk2vN6NvAbFEtWplMsI1G6/ZjiqpSxz8lE/oNi0qlm9pj6Px0Rb6JYznIk8EeT\n7YNNzBMT/e2dFB/Wo4FfSrejgH+imDneSUQE8FlgaZotRtIcSQvSLvtSfBP1E0kzgctqx6pIBHSZ\npF9U4QCKtcN3N9jWVwBPRcTzkuZTBKGx/iTNUr8OeB/FejIogvafSzokteVVkibMtlxSC2q7PiC9\nh2K93BDF5WjXS6oFshFgoDQzvpXi8rePS9o39f+wUkCtZwQ4rMF9zaw7Od7u3kQD1C8AH5I0kL6Z\n+jNgRenbxPGOm/RgdwLl5+HNFN8S1vwtxaT0OyXtqeKn82r/gRkbs78JbFeRzG6apLdRrBtfgZl1\nA8fn3auNZ5+lWM7wu+Ps8y3gp5I+ImmfFBdfJ+lN6fF9gZ9ExLOSjgLOa7C/u4iIp4C/obgio3bu\n54CnJL2cYqlJpH1fBP4OuCw9J3PZ+UqYsdYBv5n2fS3FlXIAqEiiPF9F0s7/pPjS8cUJzmNN8MRE\nf3sv8LmI2BIRj9duFDO3Z1Nc+jTWxRTJbNaky6VWUaz5BVhKMcv4BMVAbGXpuJ9TzGDeATwD3E/x\ngX7fbtpXnp1eBPyppGdIa3vH2f8fUtvuAK6KiL9P5Z+gSEq0Kh3/TYoEPPUERZAr/779RZIOpkis\n856IeDYivkCRDOfj6bgvUQTxJyV9O5WdQ5GIbT3FGrkvMWYWdjd9/wTwLhWZnZc20G4z6z6Ot7s3\n0RUDn6O4ZPgfKZZOPEvx03q7O25sWb3tiZwHXJH6sZjS8xDFb97/RirfBtzL6Dee1wDzUsy+KSJ+\nnvY9k+L1Wgr8VmkJoK+WMOssx+fd21F/RHwnIn64yw7FBMD/RZFP44cUy+c+C+yXdvlD4Lcl/YRi\ngmTsxOxk4+BSil9HeQPFMpgfUVyF9q8U/Sr7IMXkxWMUf1M+t5u6P05xVd5Witwif1t6bL/Up20U\nfXwC+N+TbLftRu1XBOrvWPxm77eBzRFxuorfjv0ixWWVG4GzIuKZtO8Sitm/7RSJY1al8uMosmfv\nQ7Eu/6JUvhfFm+qNFC/yuyNi7HpMs3Gp+N3pH1BkMvfMpfUtSRspBjovAs9HxHzHamslx1uzqfOY\n2qrg+Gy9bjJXTFxI8W1vzWLgzog4EriLdDlNukTmLIrLoU4Drq5d0k6xvujciDgCOELSKan8XGBb\nSgKzFLiqyf5Y/2rVpbtmvexFYDAijo2I2rcgjtXWao63ZlPjMbVVxfHZelZDExOSDgLeQXF5Ys0Z\nwHXp/nUUlygCnE6x/nN7utRxAzBf0myK331dm/a7vnRM+Vw3U/z8jNlkTPpSWElnl5Zo1G4/lfRA\nFQ00awOxa1x3rLZWc7w1a5LH1FYxx2frWY1eMfFxiqyj5Tf7rIgYgR3J/Q5M5XPY+WevtqSyOez8\nUy2bGf2prB3HRMQLwNMpWYxZXRGxKSL2nOxlaxFxY0TsGxH7lW77RsQxVbXVrGIB3CFpraTfSWWO\n1dYyjrdmU+YxtVXC8dl63bR6O0j6dWAkItZJGtzNrq1M3uTLkMzMJu/EiHgsZQlfJekhmk/81wjH\najOzBnlMbWY2sboTE8CJwOmS3gG8FNhX0nJgq6RZETGSLil7PO2/hZ1/K/agVDZRefmYRyXtCewX\nEdvGNkSSM1ebWSUioucHb5F+izwifizpqxTZtkccq80sFz0eqz2mNrPsNRun6y7liIhLIuKQiDiM\n4je874qI9wC3AkNpt3Mofn4G4BZgoaS9JL0GeC3wrXRp2jPp919F8dM85WNqvyn7LorEPxO1pyO3\nc845x3W7btedad05kPQySa9I918OLAAeoIivQ2m37GN17u9V98396+f+9brwmNqfBffP/cu8f1PR\nyBUTE7kCuEnS+4FNFFmDiYj1km6iyDb8PLAoRlt5Pjv/tNFtqfxaYLmkDcCTFMHazMwaNwv4SvoW\nbBpwQ0SskvRtHKvNzLqZx9Rm1vcmNTEREf8A/EO6vw14+wT7XQ5cPk75vcAuiVQi4jlSEO5WAwMD\nrtt1u+5M685BRPwQmDdOeV/F6nbI+b2ac9/A/bPu0c9j6nbohs/C7NkDjIxsquz81113HbNmHcrW\nrRsrq6NTuuH1q1Lu/WtWo7/K0fcGBwddt+t23ZnWbTYZOb9Xc+4buH9m/aIbPgvFpERUdFsNRKUT\nH53UDa9flXLvX7M8MWFmZmZmZmZmHeOJCTMzMzMzMzPrGE01e2Y7SYpeaq+Z9QZJRG//BF1Xcaw2\nsyo4VreO43T1ih9Mqfo51pR/CcGslaYSp33FhJmZmZmZmZl1jCcmGjQ8POy6XbfrzrRus8nI+b2a\nc9/A/TPrF/l/FoY73YBK5f765d6/Zk3q50LNzMzMrP2q/unBmlx/ftDMzLqbc0yYWd/zuuXWcqw2\na732rFeHbl6z7ljdOo7T1XOOCetHzjFhZi03e/YAktpymz17oNPdNTMzMzOzDvHERIP6de296+7f\nuotLhqMtt5GRTV5vZz0j5/dqzn2D/PuX+7pzs0b5s97bcn/9cu9fszwxYWZmZmZmZmYd4xwTZjau\n9q1nhk6vkfS65dZyrDZrPeeYcKxuJcfp6jnHhPUj55gwMzMzMzMzs57kiYkGdcu6f9ftul23WWfl\n/F7NuW+Qf/9yX3du1ih/1ntb7q9f7v1rVt2JCUl7S7pH0n2Svifpz1P5pZI2S/pOup1aOmaJpA2S\nHpS0oFR+nKT7JT0saWmpfC9JK9Ixd0s6pNUdNTMzMzPrFI+pzcwm1lCOCUkvi4hnJe0J/AvwYeDt\nwE8j4mNj9j0auBE4HjgIuBM4PCJC0j3AByJiraSVwCci4nZJ5wHHRMQiSe8G3hkRC8dph9fDmbWJ\nc0xYsxyrzVrPOSbyiNUeU/cP55iwflR5jomIeDbd3Tsd81St7nF2PwNYERHbI2IjsAGYL2k2sG9E\nrE37XQ+cWTrmunT/ZuDkyXTCzMzMzKzbeUxtZja+hiYmJO0h6T5gKzAcEevTQx+QtE7SNZL2cs6Q\nigAAIABJREFUT2VzgEdKh29JZXOAzaXyzalsp2Mi4gXgaUkzm+lQVfp17b3rdt39ULfZZOT8Xs25\nb5B//3Jfd54Dj6nbw5/13pb765d7/5rV6BUTL0bEsRSXkf2qpJOAq4HDImIeRXD9yxa2q6cv0zMz\nMzMzG8tjajOz8U2bzM4R8RNJXwfeFBH/UHros8Ct6f4W4ODSYwelsonKy8c8mtbc7RcR28Zrw9DQ\nEAMDAwBMnz6defPmMTg4CIzOPlWxPTg4WOn5u3m7pt3118o60X+/3jXDwGDpPhVut+/1Hh4eZtmy\nZQA74olZo8oxKjc59w3y7185nlp36+cxdTu2a2Wdbs+o2vZgi7bLZZ1/vnN9/dy/+tutHFPXTX4p\n6QDg+Yh4RtJLgduBjwLfi4itaZ8PAcdHxNmS5gI3ACdQXE52B6OJetYAFwBrga8Dn4yI2yQtAl6f\nEvUsBM50oh6zznLyS2uWY7VZ6zn5Ze/Hao+p+4uTX1o/qjr55S8Aq9N6uDXALRHx98BV6WeK1gEn\nAR8CSGvlbgLWAyuBRaXIdz5wLfAwsCEibkvl1wIHSNoAXAQsbqYzVdp15tN1u27XnUvdZpOR83s1\n575B/v0rf4NqXclj6jbxZ7235f765d6/ZtVdyhERDwDHjVP+3t0cczlw+Tjl9wLHjFP+HHBWvbaY\nmZmZmfUij6nNzCZWdylHN/FlZ2bt46Uc1izHarPW81IOx+pWcpyunpdyWD+qeimHmZmZmZmZmVkl\nPDHRoH5de++6XXc/1G02GTm/V3PuG+Tfv9zXnZs1yp/13pb765d7/5rliQkzMzMzMzMz6xjnmDCz\ncTnHhDXLsdqs9ZxjwrG6lRynq+ccE9aPnGPCzMyQtIek70i6JW3PkLRK0kOSbpe0f2nfJZI2SHpQ\n0oJS+XHpZ+selrS0VL6XpBXpmLslHdLe3pmZmZlZrjwx0aB+XXvvul13P9SdkQspfu++ZjFwZ0Qc\nCdwFLAGQNJfi5+SOBk4Drlbx1Q7AZ4BzI+II4AhJp6Tyc4FtEXE4sBS4qurOdKuc36s59w3y71/u\n687NGuXPem/L/fXLvX/N8sSEmVkGJB0EvAO4plR8BnBdun8dcGa6fzqwIiK2R8RGYAMwX9JsYN+I\nWJv2u750TPlcNwMnV9EPMzMzM+s/zjFhZuNyjoneIulLwJ8B+wMfjojTJT0VETNK+2yLiJmSPgXc\nHRE3pvJrgJXAJuDyiFiQyt8CfCSd6wHglIh4ND22ATghIraN0xbHarMWc46JPGJ1t3Ccrp5zTFg/\nmkqcntbqxpiZWXtJ+nVgJCLWSRrcza6tHL3s9o/O0NAQAwMDAEyfPp158+YxODgIjF7C6G1ve7vx\n7VG17cGKtos6O93fwcFBhoeHWbZsGcCOeGJmZnnyFRMNKv+Rdt2uux/qbvcVE6tXr+5Yv3v9WzhJ\nfw78P8B24KXAvsBXgDcBgxExkpZprI6IoyUtBiIirkzH3wZcSnHFxOqIODqVLwROiojzavtExD2S\n9gQei4gDJ2hP1t/EdfIzWrWc+wa93b/GYvIw5QmGJmvq2m9gez1WdxPH6epVO44apvisd+/ndSq6\n4fWrUs79869ymJn1sYi4JCIOiYjDgIXAXRHxHuBWYCjtdg7wtXT/FmBh+qWN1wCvBb4VEVuBZyTN\nT8kw3zvmmHPS/XdRJNM0MzMzM5syXzFhZuNyjoneJOkkRnNMzARuAg6muBrirIh4Ou23hOKXNp4H\nLoyIVan8jcAyYB9gZURcmMr3BpYDxwJPAgtT4szx2uBYbdZizjGRV6zuNMfp6jnHhPWjqcRpT0yY\n2bg8MWHNcqw2az1PTDhWt5LjdPU8MWH9qNKlHJL2lnSPpPskfS+tZUbSDEmrJD0k6XZJ+5eOWSJp\ng6QHJS0olR8n6X5JD0taWirfS9KKdMzdkg5ppjNV2jX5lOt23a47l7rNJiPn92rOfYP8+zeayNK6\nkcfU7ePPem/L/fXLvX/NqjsxERHPAW+NiGOBNwBvk3QisBi4MyKOpFhrvARA0lzgLOBo4DTg6rRW\nGeAzwLkRcQRwhKRTUvm5wLaIOBxYClzVqg6amZmZmXWax9RmZhOb1FIOSS+jmKIbAv6OIlt7Ldv7\ncEQcNU62928Al1Gsb74rIuam8t1le98aEa8ap35fdmbWJl7KYc1yrDZrPS/lyCtWe0ydPy/lsH5U\n+a9ySNpD0n3AVopguR6YFREjACmTe+1n4+YAj5QO35LK5gCbS+WbU9lOx0TEC8DTKWmbmZmZmVkW\nPKY2MxvftEZ2iogXgWMl7QfcLmmQXacAWzldN+Esy9DQEAMDAwBMnz6defPm7fgd2Np6nSq2y2uB\n2lFfeXtsG9pZ/7p167jooova2t/a9tKlS9v2+o7d9utdM0zxO9m1+1S23c7Xe3h4mGXLlgHsiCdm\njRrO+PfHc+4b5N+/nWO2dSOPqduz3ckxZHl7VG17sEXbS4F5o2fvsuc/l9fP/au/3dIxdURM6gb8\nCfCHwIMUM7wAs4EH0/3FwMWl/W8DTijvk8oXAp8p75Pu7wk8PkHd0SmrV6923a67r+oGAqJNNzra\n7xRbJh0PfZvw78TkXoAe08n3atVy7ltEb/evsZi8uiXxuFvlFqv7dUzdDt3wWa92HFX7rOf5OnbD\n61elnPs3lThdN8eEpAOA5yPiGUkvBW4HPgosoEiuc6Wki4EZEbE4Jeq5IQXOOcAdwOEREZLWABcA\na4GvA5+MiNskLQJeHxGL0jq5MyNi4ThtiXrtNcvd7NkDjIxsalNtzjFhk+dYbdZ6zjHR+7HaY+r+\n4hwT1o+mEqcbWcrxC8B1KQvwHsDyiPj7tD7uJknvp0jCcxZARKyXdBOwHngeWFSKfOcDy4B9gJUR\ncVsqvxZYLmkD8CTFzK+ZjaOYlGjP4NTMzMxaxmNqM7MJ7FFvh4h4ICKOi4hjI+KXIuIvUvm2iHh7\nRBwZEQsi4unSMZdHxGsj4uiIWFUqvzcijomIwyPiwlL5cxFxVip/c0RsbHE/p2zXtWKu23XnV/fo\nGsYO1NzRfps1Luf3as59g/z718kYbvV5TN0+/qz3ttxfv9z716y6ExNmZmZmZmZmZlWpm2Oim3g9\nnFl71xk7x4Q1w7HarPWcY8KxupUcp6vnHBPWj6YSp33FhJmZmZmZmZl1jCcmGtSvOQdcd3/V7RwT\nZvXl/F7NuW+Qf/9yX3du1ih/1ntb7q9f7v1rlicmzMzMzMzMzKxjnGPCrMc4x0QFtXvdcks5Vpu1\nnnNMOFa3kuN09ZxjwvqRc0yYmZmZmZmZWU/yxESD+jXngOvur7qdY8Ksvpzfqzn3DfLvX+7rzs0a\n5c96b8v99cu9f83yxISZmZmZmZmZdYxzTJj1GOeYqKB2r1tuKcdqs9ZzjgnH6lZynK6ec0xYP3KO\nCTMzMzMzMzPrSZ6YaFC/5hxw3f1Vt3NMmNWX83s1575B/v3Lfd25WaP8We9tub9+ufevWZ6YMDMz\nMzMzM7OOqZtjQtJBwPXALOBF4G8i4lOSLgV+F3g87XpJRNyWjlkCvB/YDlwYEatS+XHAMmAfYGVE\nXJTK90p1vBF4Anh3RPxonLZ4PZz1PeeYqKB2r1tuKcdqs9Zzjonej9UeU/cX55iwflR1jontwB9E\nxOuAXwY+IOmo9NjHIuK4dKsF0KOBs4CjgdOAq1V8MgE+A5wbEUcAR0g6JZWfC2yLiMOBpcBVzXTG\nzMzMzKxLeUxtZjaBuhMTEbE1Ital+z8DHgTmpIfHmw05A1gREdsjYiOwAZgvaTawb0SsTftdD5xZ\nOua6dP9m4OQm+lKpfs054Lr7q27nmDCrL+f3as59g/z7l/u6817nMXX7+LPe23J//XLvX7MmlWNC\n0gAwD7gnFX1A0jpJ10jaP5XNAR4pHbYllc0BNpfKNzMajHccExEvAE9LmjmZtpmZmZmZ9QKPqc3M\ndlY3x8SOHaVXUEzP/WlEfE3Sq4AnIiIk/S9gdkT8jqRPAXdHxI3puGuAlcAm4PKIWJDK3wJ8JCJO\nl/QAcEpEPJoe+z4wPyK2jWmD18NZ33OOiQpq7/F1y93Gsdqs9ZxjIp9Y7TF1582ePcDIyKY21OQc\nE9ZfphKnpzVYwTSKy8GWR8TXACLix6VdPgvcmu5vAQ4uPXZQKpuovHzMo5L2BPYbG0BrhoaGGBgY\nAGD69OnMmzePwcFBYPSyGG97O+ftUbXtwYq2a2VVnX/n7XY+n8PDwyxbtgxgRzzpdZL2Bv4R2Cvd\nvhYRl0iaAXwROBTYCJwVEc+kYypJqmZmZuPzmLo7totJidVUO8Z5K6OqOH/p7F32/Hq7f7ZbOqaO\niLo3ioHox8aUzS7d/xBwY7o/F7iPYmD8GuD7jF6ZsQaYT/FV7Erg1FS+CLg63V9IsZ5uvHZEp6xe\nvdp1u+6uqBsIiIpuq0v3q6xn7I2OPucptjQUD7v5Brws/btnircnAldSfJMGcDFwRewcq6cBA2Ni\n9T3A8en+Sopv3wDOK8Xqd3djrG6HTr5Xq5Zz3yJ6u3+NxeTVk4y948fjbpVDrPaYuj06O5Ya/SxV\nP17L83Xs5VjdiJz7N5U4XfeKCUknAr8NPCDpvuJDxiXA2ZLmUfzc0Ubg91KUWy/pJmA98DywKDUS\n4Hx2/hbutlR+LbBc0gbgyRRIzcxsEiLi2XR3b4ocQk9RJEI7KZVfR/E1y2LgdFJSNWBjir/zJW1i\n/KRqt6dzXZrKbwY+XWmHzMwy4jG1mdnEGs4x0Q36fT2cGTjHRCW157NueQ/gXuAXgb+OiI9Ieioi\nZpT22RYRM1u0dnkDcEJ47bJZ5ZxjIp9Y3Q36PU635/PUnjr6+XW07lN5jgkzM+t+EfEicKyk/YDb\nJQ2y66iolSMY/wfBzMzMzKZsj043oFfsmnjQdbvu/Ooem0yprTV3tN95iYifUFz98CZgRNIsAEmz\ngcfTblNJqkYjSdUuu+wyLrvsMpYuXbrT6zs8PNzT27n1p7xdu98t7XH/dt0u4vRE28N1Hm9km472\nb+zrNTQ0tCOemDVq589MjoY73YBK5f765d6/ZnkpR4OGh4d3ZCJ13a67k3VXe/nhMKMZn9u7lGP1\n6tUde85zuDxY0gHA8xHxjKSXUuSE+CiwANgWEVdKuhiYERGLJc0FbgBOoPjd+zuAwyMiJK0BLgDW\nAl8HPhkRt0laBLw+IhZJWgicGRG7rF/O/RLhTsaHquXcN+jt/jUW+4fZ+ZeVmqqpay8NzyFWd4t+\nj9O9v5RjmOKz3r2f16no5VjdiJz7N5U47YkJsx7jHBMV1J7BYFfSMRTJLUVxNdzyiPgLSTOBmyiu\ndNhE8XOhT6djlgDnUiRVK/9c6BvZOanahal8b2A5cCwpqVpEbBynLY7VZi3mHBN5xOpu0e9xuvcn\nJkbr6OfX0bqPJybM+ognJiqo3YPdlnKsNms9T0w4VrdSv8dpT0yYVWMqcdo5JhrUybVArtt1t7H2\nztXs9XbWI3J+r+bcN8i/f7mvOzdrlD/rvS331y/3/jXLExNmZmZmZmZm1jFeymHWY7yUo4LafXlw\nSzlWm7Wel3I4VrdSv8dpL+Uwq4aXcpiZmZmZmZlZT/LERIP6NeeA6+6vup1jwqy+nN+rOfcN8u9f\n7uvOzRrlz3pvy/31y71/zfLEhJmZmZmZmZl1jHNMmPUY55iooHavW24px2qz1nOOCcfqVur3OO0c\nE2bVcI4JMzMzMzMzM+tJnphoUL/mHHDd/VW3c0yY1ZfzezXnvkH+/ct93blZo/xZ7225v365969Z\ndScmJB0k6S5J35P0gKQLUvkMSaskPSTpdkn7l45ZImmDpAclLSiVHyfpfkkPS1paKt9L0op0zN2S\nDml1R83MzMzMOsVjajOzidXNMSFpNjA7ItZJegVwL3AG8D7gyYi4StLFwIyIWCxpLnADcDxwEHAn\ncHhEhKR7gA9ExFpJK4FPRMTtks4DjomIRZLeDbwzIhaO05a+Xg9nBs4xUUntXrfcUo7VZq3nHBO9\nH6s9pu4ezjFhVo1Kc0xExNaIWJfu/wx4kCI4ngFcl3a7Djgz3T8dWBER2yNiI7ABmJ+C8b4RsTbt\nd33pmPK5bgZObqYzZmZmZmbdyGNqM7OJTSrHhKQBYB6wBpgVESNQBFrgwLTbHOCR0mFbUtkcYHOp\nfHMq2+mYiHgBeFrSzMm0rWr9mnPAdfdX3c4xYVZfzu/VnPsG+fcv93XnOennMXU7+LPe23J//XLv\nX7ManphIl5zdDFyYZnnHXjfUyuuIevYyPTMzMzOziXhMbWa2q2mN7CRpGkUAXR4RX0vFI5JmRcRI\nuqTs8VS+BTi4dPhBqWyi8vIxj0raE9gvIraN15ahoSEGBgYAmD59OvPmzWNwcBAYnX2qYntwcLDS\n83fzdk2766+VdaL/3fx6j6ptD7Z4e2wdrT7/RNvte72Hh4dZtmwZwI54YtaocozKTc59g/z7V46n\n1p08pm7Pdq1sd4+3Z4xDnceb3d65jk4/3zn9H8D969yYum7ySwBJ1wNPRMQflMquBLZFxJUTJOo5\ngeJysjsYTdSzBrgAWAt8HfhkRNwmaRHw+pSoZyFwphP1mI3PyS8rqL3HE6p1G8dqs9Zz8ss8YrXH\n1N3ByS/NqlFp8ktJJwK/DbxN0n2SviPpVOBK4NckPUSRWOcKgIhYD9wErAdWAotKke984FrgYWBD\nRNyWyq8FDpC0AbgIWNxMZ6q067fVrtt151f3+FdNtKnmjvbbrHE5v1dz7hvk379OxnCrz2Pq9vFn\nvbfl/vrl3r9m1V3KERH/Auw5wcNvn+CYy4HLxym/FzhmnPLngLPqtcXMzMzMrBd5TG1mNrGGlnJ0\ni36/7MwMvJSjktozuDy4mzhWm7Wel3I4VrdSv8dpL+Uwq0alSznMzMzMzMzMzKriiYkG9WvOAdfd\nX3U7x4RZfTm/V3PuG+Tfv9zXnZs1yp/13pb765d7/5rliQkzMzMzMzMz6xjnmDDrMc4xUUHtXrfc\nUo7VZq3nHBOO1a3U73HaOSbMquEcE2ZmZmZmZmbWkzwx0aB+zTnguvurbueYMKsv5/dqzn2D/PuX\n+7pzs0b5s97bcn/9cu9fszwxYWZmZmZmZmYd4xwTZj3GOSYqqN3rllvKsdqs9ZxjwrG6lfo9TjvH\nhFk1nGPCzKzPSTpI0l2SvifpAUkXpPIZklZJekjS7ZL2Lx2zRNIGSQ9KWlAqP07S/ZIelrS0VL6X\npBXpmLslHdLeXpqZmZlZjjwx0aB+zTnguvurbueY6GnbgT+IiNcBvwycL+koYDFwZ0QcCdwFLAGQ\nNBc4CzgaOA24WsVXSACfAc6NiCOAIySdksrPBbZFxOHAUuCq9nStu+T8Xs25b5B//3Jfd27WKH/W\ne1vur1/u/WuWJybMzDIQEVsjYl26/zPgQeAg4AzgurTbdcCZ6f7pwIqI2B4RG4ENwHxJs4F9I2Jt\n2u/60jHlc90MnFxdj8zMzMysXzjHhFmPcY6JCmrPbN2ypAGKr1NeDzwSETNKj22LiJmSPgXcHRE3\npvJrgJXAJuDyiFiQyt8CfCQiTpf0AHBKRDyaHtsAnBAR28bU71htfWP27AFGRja1qTbnmMgpVndS\nv8dp55gwq8ZU4vS0VjfGzMw6R9IrKK5muDAifiZp7IillSMY/wfB+l4xKdGuyWIzM7M81V3KIela\nSSOS7i+VXSpps6TvpNuppceyTKbWrzkHXHd/1e0cE71N0jSKSYnlEfG1VDwiaVZ6fDbweCrfAhxc\nOvygVDZR+U7HSNoT2G/s1RI1Q0NDXHbZZVx22WUsXbp0p9d3eHi4p7dz6095u3a/W9rTC/1LpWPu\nd2p7uM7jjWzT0udnqq/X0NDQjniSA4+r22PXz2huhjvdgErl/vrl3r+mRcRub8BbgHnA/aWySymS\nrI3d92jgPoorMQaA7zO6XOQe4Ph0fyXF5cAA5wFXp/vvpljzPFFbolNWr17tul13V9QNBERFt9Wl\n+1XWM/ZGR5/zFFvqxsNuv1Hkg/jYmLIrgYvT/YuBK9L9uSle7wW8Zky8XgPMp/iKdiVwaipfVIrX\nCyeK152M1e3Qyfdq1XLuW0Q1/WtfrGykntUtqadb5RCru2Vc3c2vcyt0diw1mc9ss7fVO+rIkf8W\n9a6pxOmGckxIOhS4NSLekLYvBX4WEX85Zr/FqTFXpu1vAJdRrFm+KyLmpvKFwEkRcZ6k24BLI+Ke\n9A3c1oh41QTtiEbaa5Yz55iooPYM1i1LOhH4R+ABihcugEuAbwE3UVzpsAk4KyKeTscsofiljecp\nln6sSuVvBJYB+wArI+LCVL43sBw4FngSWBhF4syxbXGstr6RX0zu3jXrOcRq6I5xdb/HaeeYMKtG\np3JMfEDSe4BvAx+OiGeAOcDdpX22pLLtwOZS+eZUTvr3EYCIeEHS05JmxgSXB5uZ2a4i4l+APSd4\n+O0THHM5cPk45fcCx4xT/hzFT4yamVlreVxtZn2t2Z8LvRo4LCLmAVuBv6yz/2R05Ux4J9cCuW7X\n3cbaO1ez19tZj8j5vZpz3yD//uW+7jxjfTeurpo/670t99cv9/41q6krJiLix6XNzwK3pvtTSab2\naL1kalAkVBsYGABg+vTpzJs3j8HBQWD0Rc5tu6YT9a9bt65j/V+3bl3b+9sN2zX1Hh/9ozTYwu11\npe1aWSvPP/F2O1/v4eFhli1bBrAjnpiZmXVCp8bVOY+p640pCsNUP8ahzuPNbq/b+exd9vz7/wD9\n079WjqkbzTExQLEW7pi0PTsitqb7H6JIvnO2pLnADcAJFJeS3QEcHhEhaQ1wAbAW+DrwyYi4TdIi\n4PURsSitkTszIhZO0I6+Xg9nBjmuZy7qco6JfDhWWz/JLyZ375r1XGJ1N4yr+z1OO8eEWTUqzTEh\n6UaK6blXSvoRRebgt0qaB7wIbAR+DyAi1ku6CVhPkUxtUSnqnc/OydRuS+XXAsslbSAlU2umI2Zm\nZmZm3czjajOz8e1Rb4eIODsiXh0Re0fEIRHx+Yh4b0S8ISLmRcSZETFS2v/yiHhtRBxdy/Ceyu+N\niGMi4vBahvdU/lxEnJXK3zxehvdusOtl9K7bdedX966XHrax5o7226xxOb9Xc+4b5N+/TsZwa4zH\n1e3hz3pvy/31y71/zao7MWFmZmZmZmZmVpWGckx0i35fD2cGOa5nLupyjol8OFZbP8kvJnfvmnXH\n6tbp9zjtHBNm1ZhKnPYVE2ZmZmZmZmbWMZ6YaFC/5hxw3f1Vt3NMmNWX83s1575B/v3Lfd25WaP8\nWe9tub9+ufevWZ6YMDMzMzMzM7OOcY4Jsx6T33rmoi7nmMiHY7X1k/xicveuWXesbp1+j9POMWFW\nDeeYMDMzMzMzM7Oe5ImJBvVrzgHX3V91O8eEWX05v1dz7hvk37/c152bNcqf9d6W++uXe/+a5YkJ\nMzMzMzMzM+sY55gw6zH5rWcu6nKOiXw4Vls/yS8md++adcfq1un3OO0cE2bVcI4JMzMzMzMzM+tJ\nnphoUL/mHHDd/VW3c0yY1ZfzezXnvkH+/ct93blZo/xZ7225v365969ZnpgwMzMzMzMzs45xjgmz\nHpPfeuaiLueYyIdjtfWT/GJy965Zd6xunX6P084xYVaNSnNMSLpW0oik+0tlMyStkvSQpNsl7V96\nbImkDZIelLSgVH6cpPslPSxpaal8L0kr0jF3SzqkmY6YmZmZmXUzj6vNzMbXyFKOzwOnjClbDNwZ\nEUcCdwFLACTNBc4CjgZOA65WMSUJ8Bng3Ig4AjhCUu2c5wLbIuJwYClw1RT6U5l+zTnguvurbueY\nMKsv5/dqzn2D/PuX+7rzTHhc3Qb+rPe23F+/3PvXrLoTExHxz8BTY4rPAK5L968Dzkz3TwdWRMT2\niNgIbADmS5oN7BsRa9N+15eOKZ/rZuDkJvphZmZmZtbVPK42MxtfQzkmJB0K3BoRb0jb2yJiZunx\nbRExU9KngLsj4sZUfg2wEtgEXB4RC1L5W4CPRMTpkh4ATomIR9NjG4ATImLbOO3o6/VwZpDjeuai\nLueYyIdjtfWT/GJy965ZzyVWd8O4ut/jtHNMmFWj0hwTDWrlJ6Ln/+CYmZmZmTXJ42oz6zvTmjxu\nRNKsiBhJl5M9nsq3AAeX9jsolU1UXj7mUUl7AvuNd7VEzdDQEAMDAwBMnz6defPmMTg4CIyu16li\nu7wWqB31lbfHtqGd9a9bt46LLrqorf2tbS9durRtr+/Y7W5+vUfVtgdbuL0OuGhMHa08/8Tb7Xy9\nh4eHWbZsGcCOeGLWqOHh4R3vq9zk3DfIv387x2zrIR0ZV3dqTN2O7XpjisIw1Y9xqPN4s9tLgXmj\nZ++y57+X/w/g/nVwTB0RdW/AAPBAaftK4OJ0/2LginR/LnAfsBfwGuD7jC4XWQPMp5i5XQmcmsoX\nAVen+wsp1tJN1I7olNWrV7tu1z2hWbMODYpvONp0i4puq0v3q6xn7I2Ovt4ptjQUD31r6G/G5F6A\nHtPJ92rVcu5bRDX9a1+sbKSe1S2pp1vlEqu7YVzdza9zK9T7rLfnc9uO8Vqer6P/FvWuqcTpujkm\nJN1IMT33SmAEuBT4KvAlihnZTcBZEfF02n8JRUbg54ELI2JVKn8jsAzYB1gZERem8r2B5cCxwJPA\nwigS/IzXlqjXXrNOaN8aY2jnOuN29qmTn+1c1i13C8dq6yfOMdE+OcTqbhlX93ucdo4Js2pMJU43\nlPyyW/R7ELXu5YmJqdfliYl8OFZbP/HERPs4VrdOv8fpfCYm9gGeq+zss2YdytatGys7v+WnG5Jf\nZm/X9f2u23VXVntf1t3Z57z3SbpW0oik+0tlMyStkvSQpNsl7V96bImkDZIelLSgVH6cpPslPSxp\naal8L0kr0jF3Szqkfb3rLjm/V3PuG+Tfv87+/TDrHv3zWX8OKlw5PDKyqS29GSv31y8Mj39WAAAg\nAElEQVT3/jXLExNmZnn4PHDKmLLFwJ0RcSRwF7AEQNJc4CzgaOA04GoVXx8BfAY4NyKOAI6QVDvn\nucC2iDicIuvWVVV2xszMzMz6h5dymLWAl3JMvS4v5Zg6SYcCt0bEG9L2vwEnxWim9+GIOErSYork\nRFem/b4BXEaxtvmuiJibyhem48+TdBtwaUTckzK9b42IV03QDsdq6xteytE+ucTqbtDvcTqfpRxV\n19G98cC6k5dymJnZeA6MiBGAiNgKHJjK5wCPlPbbksrmAJtL5ZtT2U7HRMQLwNOSZlbXdDMzMzPr\nF56YaFC/5jtw3R2pvS/r9nq7tmjl1x59+61lzu/VnPsG+ffPOSbMCv6s97bcX7/c+9esaZ1ugJmZ\nVWZE0qzSUo7HU/kWip+lqzkolU1UXj7m0bSUY7+I2DZRxUNDQwwMDAAwffp05s2bx+DgIDD6B7lX\nt9etW9dV7fF2Z7cLwxS/AFm7TwXb1Hm8VdtFH7vh+R0eHmbZsmUAO+KJmZnlyTkmzFrAOSamXpdz\nTEydpAGKHBPHpO0rKRJWXinpYmBGRCxOyS9vAE6gWKJxB3B4RISkNcAFwFrg68AnI+I2SYuA10fE\nopR74syIWDhBOxyrrW84x0T75BKru0G/x2nnmGj8/P38PrHJm0qc9hUTZmYZkHQjxVeer5T0I+BS\n4ArgS5LeT5HY8iyAiFgv6SZgPfA8sKg0Qj0fWEbx4+grI+K2VH4tsFzSBuBJYNxJCTMzMzOzyXKO\niQb1a74D192R2vuybq+3m5qIODsiXh0Re0fEIRHx+Yh4KiLeHhFHRsSCiHi6tP/lEfHaiDg6IlaV\nyu+NiGMi4vCIuLBU/lxEnJXK3xwRG9vcxa6R83s1575B/v3Lfd25WaP8We9tub9+ufevWZ6YMDMz\nMzMzM7OOcY4JsxZwjomp1+UcE/lwrLZ+kl+OiX2A5yqtYdasQ9m6deOkj3Osbp1+j9POMdH4+fv5\nfWKT5xwTZmZmZtYCz1H1f6ZGRjy3YGZmO/NSjgb1a74D192R2vuybq+3s16R83s1575B/v3Lfd25\nWaP8We9tub9+ufevWVOamJC0UdJ3Jd0n6VupbIakVZIeknS7pP1L+y+RtEHSg5IWlMqPk3S/pIcl\nLZ1Km8zMzMzMeo3H1WbWz6aUY0LSD4A3RsRTpbIrgScj4ipJFwMzImKxpLnADcDxwEHAncDhERGS\n7gE+EBFrJa0EPhERt49TX1+vh7Pu5RwTU6/LOSby4Vht/SS/HBPtWRffTIzIPVa3c1zd73HaOSYa\nP38/v09s8qYSp6e6lEPjnOMM4Lp0/zrgzHT/dGBFRGxPPzO3AZgvaTawb0SsTftdXzrGzMzMzKwf\neFxtZn1rqhMTAdwhaa2k30llsyJiBCAitgIHpvI5wCOlY7eksjnA5lL55lTWVfo134Hr7kjtfVm3\n19tZr8j5vZpz3yD//uW+7rwP9M24umr+rPe23F+/3PvXrKn+KseJEfGYpFcBqyQ9xK7XE/n6HzMz\nMzOz3fO42sz61pQmJiLisfTvjyV9FZgPjEiaFREj6XKyx9PuW4CDS4cflMomKh/X0NAQAwMDAEyf\nPp158+YxODgIjM4+VbE9ODhY6fm7ebum3fXXyjrR/2Ze79HZ66q3qfN4q85fK2v1+Sfabt/rPTw8\nzLJlywB2xBOzRpVjVG5y7hvk379yPLXe0+5xdafG1O3YrpXt7vH2jHGo83iz22PraPX5y+fuvtev\n17dz6l8rx9RNJ7+U9DJgj4j4maSXA6uAjwInA9si4soJkvScQHFJ2R2MJulZA1wArAW+DnwyIm4b\np86+TtRj3cvJL6del5Nf5sOx2vqJk182V4eTX+6s3ePqbo/Ts2cPMDKyqeJaej0xZTvqcPJLm5xO\nJb+cBfyzpPuANcCtEbEKuBL4tXT52cnAFQARsR64CVgPrAQWlSLi+cD/z979x8tV1ff+f73DISDy\nIyCStEEIKiAoGqlGLe2XabEI9n6B29sC1RYi1NuHUMFrNYAXv1rvF0JovSY+WmitSBK+eBHxF9YI\nSMnYq4Ii8kuDEG8MkkAOQggoKhDy+f6x14TJyTkn58zZM2tm7/fz8ZjHmb1m770+n5mz19lnzV5r\nXwE8AKwerVMit1bPkOt23T2ovZZ1533PzSauyr+rVc4Nqp9f3r8fNkW1Oq/ekaJTIqbwWLmD1wdd\nM3cAXVX1trrq+XWq46EcEfFTYO4o5RuBt46xzUJg4SjldwBHdBqLmZmZmdmg8nm1mdVdx0M5cuj3\ny86svjyUY6p2BZ7pSU0zZx7Ihg1rtymr8uXBObittjrxUI7O6vBQjrz6vZ3u/nFVhWEWvajDQzls\ncqbSTk/1rhxmZiV4hl51ggwP+5zWzMzMzKyfTGWOiVqp63wHrjtL7a7brI9VeWxolXOD6ufndtSs\npZk7gC5r5g6gq6reVlc9v065Y8LMzMzMzMzMsvEcE2Yl8BwTg1XXyHbE45bL5bba+kFvbjfYUqU2\n2XNM1EG/t9OeY6Jf6vAcEzY5nmPCzMzMrM0LtxvsNv+fbGZmNlUeyjFBdZ3vwHVnqd11m/WxKo8N\nrXJuhWbuALqsmTsAsz7RzB1AlzVzB9BVVf9bVPX8OuWOCTMzMzMzMzPLxnNMmJXAc0wMVl2eY6K7\n3FZbP+hdu+x6OqnDc0zk1e/ttOeY6Jc6PMeETc5U2mlfMWFmZmZmZmYj7IKkrj5mzZqTO0nrE+6Y\nmKC6znfgurPU7rrN+liVx4ZWObdCM3cAXdbMHYBZn2jmDqDLmj2q5xmKKzK69xjt7klV/1tU9fw6\n5Y4JMzMzMzMzM8vGc0yYlcBzTAxWXZ5jorvcVls/8BwT/VyP55jIrd/bac8x0S919G97YP3Jc0yY\nmZmZmZmZ2UDqm44JScdJ+rGkBySdlzuekeo634HrzlK767a+1e9tdS9UeWxolXMrNHMH0GXN3AFY\nn3Bb3cwdQJc1cwfQVVX/W1T1/Do1lDsAAEnTgH8EjgEeBm6X9JWI+HHeyF5w11130Wg0XPcA1T1r\n1pxRJ9Tpf3cBDddtfWcQ2upeyNkudluVcytUvZ2pen42Ed1sq2+99TY+97kvTHU349pvv5eWsJeq\nHwvVzq/qf4uqnl+n+qJjApgHrI6IBwEkXQOcCPTNye6mTZtc94DVXXRKdDpm7aPpMVFlDnnN957X\nt26boL5vq3shZ7vYbb3KLV/HcXU/u0LV87MJ6lpb/Q//cDlf/OJvgDdMdVdj2nnnj5Wwl6ofC9XO\nr8p/Z6H6+XWqXzomZgMPtS2vo2hUzcysf7ittlJMreN4ojxHotVWl9vqtwOnl7e7EYaGPs5zz/2y\na/u3frNLmux0W3/3d39XWg0zZx7Ihg1rS9ufdUe/dEx0bPny5Zx77rldr+fpp58mIko9SCZq7dq1\nXd3/jr65KjPnadN2Y8uWX014/Rzvd2Ftpnpdt1Xb3Llv5u67v9v1embNehmPPPKzruy7221yTosW\n/UPGdrcX1uYOoMvW5g7AauEm4Mmu7X3z5qdL2MvaEvbRz9bmDqBEz7B9R/V8YGlpNQwP91dHdZXP\nI6aiL24XKunNwEcj4ri0fD4QEbFoxHr5gzWzSvIt6HbMbbWZ5ea2escm0la7nTazbum0ne6Xjomd\ngPspJul5BPge8OcRcV/WwMzMbCu31WZm/c9ttZkNor4YyhERz0v6G4prw6YBV7jxNDPrL26rzcz6\nn9tqMxtEfXHFhJmZmZmZmZnV07TcAYxG0nGSfizpAUnnjbHOJyWtlnSXpLm9qlvSoZK+I+k3kt5f\nVr0TrPsdku5Oj29JOqKHdZ+Q6r1T0vcl/WGv6m5b742SnpP0J72qW9LRkjZJ+kF6XNirutM6jfSe\n/1DSyl7VLekDqd4fSLpX0mZJM3pU90skfT0d2/dKml9GvROse4akL6bf9dskHV5W3VWTs53uhZzt\ncS/kbHd7IWf72gs529Fuk3SFpGFJ94yzzsC2Lf1gosf/oJK0tu2c9Xu545mq0Y4JSXtLuknS/ZJu\nlLRXzhinYoz8PiJpXdv593E5Y+yUpP0l3SLpR6ktPieVV+LzGyW/96byzj6/iOirB0VnyU+AA4Gd\ngbuAV41Y53jga+n5m4Dbelj3vsDvAP8DeH+P834zsFd6flyP896t7fkRwE96VXfbev8O/BvwJz3M\n+2jg+jJ/xydR917Aj4DZrd+9Xr7nbev/J+DmHub9EWBhK2fgcWCoR3VfCnw4PT+0rLyr9sjZTvdR\nfl1pj/slv7b1Sm13+yW/brWvfZRfV9rRHuX3e8Bc4J4xXh/YtqUfHpM9BxjEB7AG2Dt3HCXms90x\nASwCFqTn5wGX5I6z5Pw+Qon/Z2XMbRYwNz3fnWLul1dV5fMbJ7+OPr9+vGJiHrA6Ih6MiOeAa4AT\nR6xzIrAcICK+C+wlaWYv6o6IxyLiDmBzCfVNtu7bIqJ1f6bbKO5T3au62+/xuTvwWK/qTt4LXAc8\nWlK9k6m7GzOAT6TudwBfiIj1UPzu9bDudn8O/K8e1r0B2CM93wN4PCLKON4mUvfhwC0AEXE/MEfS\nS0uou2pyttO9kLM97oWc7W4v5GxfeyFnO9p1EfEt4IlxVhnktqUfTPYcYBCJPr0qvBNjHBMnAsvS\n82XAST0NqkTjHPMDfweeiNgQEXel578E7gP2pyKf3xj5tc6HJv359eNBOxt4qG15Hduf8I1cZ/0o\n63Sr7m6ZbN1/BXy9l3VLOknSfcAK4Jxe1S3pt4GTIuJyym2kJvqevyVdLvq1Ei/tn0jdhwD7SFop\n6XZJf9nDugGQ9CKKb4O/0MO6/xV4taSHgbuBc3tY993AnwBImgccQPEHxLaVs53uhZztcS/kbHd7\nIWf72gs529F+MMhtSz/Iea7bKwF8Ix3b784dTJfsFxHDUPxzCOyXOZ5u+Jt0/v3pQR3q0E7SHIor\nQ24DZlbt82vL77upaNKfXz92TNgOSPoD4F0Ul/70TER8OSIOA/5v4KoeVr2YbXPt5UnyHcABETEX\n+Efgyz2sewg4kuKy1eOAD0t6ZQ/rh+Kz/lZEbOphnRcAd0fEbwOvB/5J0u49qvsSYG9JPwDOBu4E\nnu9R3TaAcrXHPZCz3e2FfmhfuylnO2qW21ERcSTwduBsSb+XO6AeqNrdDC4DXp7OvzcA/zNzPFOS\n2t/rgHPTlQUjP6+B/vxGya+jz68fOybWU3xL2bJ/Khu5zst2sE636u6WCdUt6bXAp4ATImK8Sx1L\nr7slXXI1JOklPar7DcA1kn4K/CnFCdYJvag7In7ZGsYSEV8Hdpa0Ty/qpvgW48aI+E1EPA78B/C6\nHtXdcirlDeOYaN1HAZ8HiIj/A/yUYrxa1+uOiF9ExBkRcWREnE7Rg72mhLqrJmc73Qs52+NeyNnu\n9kLO9rUXcraj/WCQ25Z+kPNctyci4pH08+fAlyiGr1TNcGsIk6RZDN6Qu3FFxM8jTVxAcQXYG3PG\nMxWShij+ab8qIr6Siivz+Y2WX6efXz92TNwOvFLSgZKmU/xjdP2Ida4HTgOQ9GZgU+tymB7U3a7M\nb5B2WLekAyguqf/LdKLRy7pf0fb8SIB0Mtf1uiPi5elxEMUv/lkRMd7nUlrd7eNW06X9ioiNvagb\n+Arwe5J2krQbxSRfZdyHfEK/5+myq6NTHGWZSN33AW9NMcykuOS6jM6BiXzee0naOT1/N/DN1PNr\n28rZTvdCzva4F3K2u72Qs33thZztaK+Isc+xBrlt6QeTPdcdKJJ2a10dJOnFwLHAD/NGVYqRx8T1\nwPz0/HTKPVfLYZv80j/rLX/CYH+GnwFWRcSStrIqfX7b5dfp5zdUcmBTFhHPS/ob4CaKjpMrIuI+\nSX9dvByfiogVkt4u6SfA0xSX0fak7vQH/vsUk0ltkXQucPhU/3mZSN3Ah4F9gMskCXguIqbcCzzB\nuv+LpNOAZyne81OmWu8k6t5mkzLqnUTdfyrpPcBzwK/pYd4R8WNJNwL3UAwn+FRErOpF3WnVkyi+\nUfz1VOucZN0LgSsl3U3xR2pBGZ1BE6z7MGCZpC0UM/afOdV6qyhnO90LOdvjXsjZ7vZCzva1F3K2\no70g6bNAA3iJpJ9RzO4+nQq0Lf1grN+fzGGVaSbwJUlB8X/O1RFxU+aYpmSMY+IS4POSzgAeBE7O\nF+HUjJHfH6i4FfAWYC3w19kCnAJJRwHvBO6VdCfF39MPUdyV49pB//zGye8dnXx+euEqCzMzMzMz\nMzOz3urHoRxmZmZmZmZmVhPumDAzMzMzMzOzbNwxYWZmZmZmZmbZuGPCzMzMzMzMzLJxx4SZmZmZ\nmZmZZeOOCTMzMzMzMzPLxh0TZmZmZmZmZpaNOybMzMzMzMzMLBt3TJiZmZmZmZlZNu6YMDMzMzMz\nM7Ns3DFhZmZmZmZmZtm4Y8LMzMzMzMzMsnHHhJmZmZmZmZll444JMzMzMzMzM8vGHRNmZmZmZmZm\nlo07JszMzMzMzMwsG3dMmJmZmZmZmVk27pgwMzMzMzMzs2zcMWFmZmZmZmZm2bhjwszMzMzMzMyy\ncceEmZmZmZmZmWXjjgkzMzMzMzMzy8YdE2ZmZmZmZmaWjTsmzMzMzMzMzCwbd0yYmZmZmZmZWTbu\nmDAzMzMzMzOzbNwxYWZmZmZmZmbZuGPCSiXpaEkP5Y6jDJJWSPrL3HEASHqHpBtyx2Fm1VSltns0\nki6X9N9zx2Fm1i1VasclnS7pf7ct/0LSnKmua/3NHRMVI6kpaaOknbtYx+GSbpT0eKrrdknHta0S\n3aq7E5KmS1oo6UFJT0u6X9IHdrRdRLw9Iq4qof5tGswJrH+gpC2Sth6fEfHZiDhuvO3MbHC57d5W\nWzv4VHqskXRep/uLiPdExEVlxgijt9dmVk9ux7cn6UxJ90l6UtIjkv5N0osnuPnWXCJij4hYO9l1\nJV0p6WOdxG695z+kFSLpQGAe8ChwwjjrTfVz/ypwIzAT2A84B3hqivvspuuAPwCOA/YA/hL4r5KW\njLWBJJVYv5jcH4rW+mXGYGZ9ym33mALYKyL2BN4B/D+Sjp3sTrrcaTCl9lrSTuWGY2Y5uB3fnqSj\ngYuAUyJiL+Aw4HN5o7J+5o6JajkN+AawHJjfKky9hZdJ+pqkXwCNdBXBP6SrCB5Jr++S1p8h6auS\nHk09sl+VNDu99hJgDvDpiNicHrdGxHfa4pCk90salrReUnssb5f0g9Rz+qCkj7S91vrm6d1pu/WS\n/rZ9p5LOl/QTST+XdI2kGeO9IZKOAd4K/ElE3BcRWyLie8BfAGdLenlab6Wk/1fStyQ9DRyUys5o\n29cZklal9+Trkg5oe22LpL+W9EDqwf7HVP4q4HLgLSouLdu4o/cB+Gb6uSl9U/imkVddSPpdSd+T\n9ISk70p6S9trKyV9LOXylKQbJO0z3vtkZlm57R6bACLiNuBHwGvSPl8l6aaU532S/mwH79vWb82U\nLneW9MH0Xq2XdJKk41Mb/pik8ycY/3btddpmR38vzpL0APDABN8HM+tvbse39wbgOxFxD0BEbIqI\nqyLi6bTPPSUtT7n+VOMMt0uxtc7Z95F0fcrjNuAVo60r6d3AO4EFqX3+iqQPSLpuxPqflPSJHeRi\nvRARflTkAaym+FbpYOBZ4KWp/ErgCeDNaXkX4BPAl4G9gBcDXwEuSq/vA/zntN6LKXo3v9RWz/0U\nPbYnAvuNiOFo4DngI8BOwPHA0xTfegH8X8Cr0/PXAI8AJ6TlA4EtwNXArun1R4E/TK+fC3wH+C1g\nZ4p/+D+7g/dkIbByjNfWAu9Oz1em5VdRdNgNpbIz0usnUpxAHpJe/xDw7bZ9bQGup7gi42Up7mPT\na6cD/zGi7h29D88Dalt/6z6AvYGN6bOeBpyalvduy2U1RUO9S1q+OPfvpx9++DH6w233qO9Jqx3c\nKS0fBfwSaAC7AT+j+EdAwOuAnwOvGud9uxL42Ihc/3vK9a/S9lenfR8O/Ao4cEfxj9FeT+TvxY3p\nM9wl9++fH374MfWH2/FR35PfS/V/FPhdYPqI15cDX0rt7oEpt3el17Y5d07t7MvT82vSY1fg1cC6\ncdbd2van5VnAL4A90/JOwDAwN/fvkB/hjomqPNLB/ytg97R8J3Buen4lsHTE+r8EDmpbfguwZox9\nzwUeb1v+beCTqRHeDDSBV6TXjk6N0LS29YeBeWPs+xPAx9PzVqN4cNvri4B/Tc9XAX/Q9tpvUTT+\n00bbd1rnX8dqOIFbgQvS85XAR0e83t4xsaLVWKblaSnPl6XlLcBb2l7/HLAgPd+uY2IC78PzI97D\n9o6JvwBuG7H9d4DT2uL+UNtr7wFW5P4d9cMPP7Z/uO0e831p7XMj8DjF1RJnp9dOBr45Yv1/Bj48\nzvs2smPiaVJnArB7qusNbet/nxdO2MeMn+Lby5Ht9UT+Xhyd+3fPDz/8KOfhdnzc9+ZtFB0vGymG\nnHycokN5GvAMcGjbuv8VuCU9H9kxsQV4edru2RFxXjTaum3v/8dGxLQCODM9/0/AD3P/DvlRPDyU\nozpOA26KiF+m5c9THNQtW2fplfRSit7JO1QMO9gIfB14SXr9RZL+RdJaSZsoLlWdIal1Se3DEXFO\nRBxM0ZD9iqLXs+XxiNjStvwrihM/VAxLuCVdtrUJ+Gtg37Z1g6Lns+VBikaYVNeX2mJeRdEzPHOc\n9+UxisZzNL+VXt/uPRrFgcCStrofT7HObltnuO351pxHI2neDt6H8fw2xfvS7sERsWyYaCxmlpXb\n7rEF8JKIeElEvDoi/qltf29u7U/SExTfVLbvb0cz0z8e6awU+HX6+Wjb67/mhXZzvPiD7U3k78W6\nUbYzs8HkdnwMEXFjRJwYEftQXOUxn+IqtX0prk7+2Yj6Zm+3k229lOIqh5FxTsZyii/5oBjqMeWJ\n7q0c7pioAEm7UnyD9IdprNojwAeA10l6bVqt/eTpMYqG6tURsU96zIhiYhqAv6W4FO2NETGD4tIv\nGGVyr4hYD/wTadzvBFxNcfna7LTvfxmxX1EMhWg5AHg4Pf8ZcHxbzHtHxIsj4pFx6rsZeFNrfN7W\nSopxwPsD/96ezjj7eQj46xF17x7FuOcdGW2/n2Xs92G8OKB4P+aMKDsAWD+BWMysT7jtHrftbt/v\nSA8BzRH72zMi/qZtnR21o5MxXvyj1fMzdvz3osz4zCwTt+MTasdb8a4EbknxPkZxxceBbascyI7P\nZX+ethsZ55jVjlL2ZeC1kl5NccXE1Tuo03rEHRPV8J8pDtLDKMbavo5iroT/TdGLu430LdG/AotT\nzy2SZuuF2c73oPi26CkVkyZ+tLWtikl5PirpFWkinH2BMyiGRUzE7sATEfGcpHkU33KN9OHUY/xq\n4F0U48igaEAvVppETNJLJY0583HK9d8pOh++oOIWS9MkvZmid/SyiFgzwbj/GfiQpMNT3XtJ+tMJ\nbjsM7K9tbx813vvwc4rL0LaZzKfNCuBgSadK2knSKRSf/VcnGI+Z9Qe33eMb604X/wYcIukvJA1J\n2lnSGyQdOsFcJmu8+Edrr/+Fzv9emNlgcTs+BkknSDpFaZLMVOfRwK3pqo5rgYsk7a7irib/jR1c\nvZC2+yLw0RTn4Wx7dcpIwxRDQNr38Zu0j88C340IX8HWJ9wxUQ2nAZ+JiPUR8WjrQdGL+g6KS55G\nOg/4CXBbupzrJoqJugAWU1xm9hjF3AUr2rZ7luLb+m8ATwL3AL+haLzG0t5beRbwPyQ9CVzI6LcN\n+maK7RvApalzAWAJxTi1m9L236G4NdOO/BeKeRduoJjwZjnFmLlzxohxu7KI+DJwCXBNer/uobj9\n6Fjbty/fQjE+eoOk1qXCZzPG+xARv6YYL/ftdMncNjlGxEaKHt4PUHxGHwD+OCKeGCcXM+s/brvH\nN2pbli6XPpZi4t+H0+MSisniOjVeGz5m/KO11x38vTCzweV2fGxPAO8GHkjbLAcWRUSrs+O9FFeP\nrAH+A/j/IuLKCeTxXooOnEeAz6THWOteAbw6tc9fbCtfBhzBtsNgLLPWxE9jryBdQfFP0HBEvDaV\n7U3xy3wgxZ0MTo6IJ9NrF1D03m2mmPjlplR+JLCUYgbVFRHxvlQ+neKX4ncoDsJTIqJ9vJHVROot\nXQPsPGJ8nJlNQGp//4JiMr57KU5WWrN6u722rnDbbTZxktZS/FO5BXguIub5vNpyq1s7Lml/4MfA\nrLa5QSyziVwxcSXFjKrtzgdujohDKb4NvgAgXU5zMsXlTMcDl0lqXYp5OcUMqIdQXILZ2ueZwMY0\nicti4NIp5GODb6xLd81sHOmk4t3A61Mn8hDw57i9tt5w2202MVuARkS8PiJa3zi7nbZ+UIt2XNI0\niquNr3GnRH/ZYcdERHyL4lKcdidSXAJD+nlSen4CxYe8OSLWUtzKZp6kWcAeEXF7Wm952zbt+7oO\nOKaDPKw6Jn2Jq6R3SPqFpKfaHr+QdG83AjTrU09RXOb5YklDwIsoJpFye2294LbbbGJat0ps53ba\n+kHl23FJu1FcsfSHwEcyh2MjDHW43X4RMQwQERsk7ZfKZ7PtBCzrU9lmtr2tyzpeuB3MbNJtdCLi\neUmbJO2TxtFbjUTEg4w+Fm9H232WYgIbs9qKiCckfZxi5uxfUdy67GZJM91eWze57TablAC+Iel5\n4F8i4tOA22nLqi7teET8imJ+CutDnXZMjFTmRE61uIzIzKxMkl5OMaP1gRTfBnxe0jsZf1K/KVdb\n4r7MzOrgqIh4JN2R4SZJ9+N22sys446J4da3cOlystadBtaz7X1l909lY5W3b/OwpJ2APcfq1ZXk\nmazNrCsiYtBP3t4AfLvVfkr6EvC7ZGiv3VabWbcMelsdEY+knz+X9GWKOxu4nTazyui0nZ7o7ULF\ntj2u1wPz0/PTKW4f0yo/VdJ0SQcBrwS+FxEbgCclzUuT9pw2YpvW/Wf/jGLSnyyIkwsAACAASURB\nVDFFhB8jHqeffnr2GPrx4ffF78lEHxVxP/BmSbumdvYYYBWZ2uvcn6mPI+fm/Kr3GHSSdpO0e3r+\nYorb3t6L22kfI87beVck76nY4RUTkj4LNICXSPoZxUQhl1BcJnwG8CDFjMFExCpJ11KcDD8HnBUv\nRHg2297W6IZUfgVwlaTVwOMU9yU3M7NJiIi7JS0H7qC4XeidwKcoxlJe6/bazCy7mcCX0tUKQ8DV\nEXGTpO/jdtrMam6HHRMR8Y4xXnrrGOsvBBaOUn4HcMQo5c+QGmDrzJw5c3KH0Jf8vmzP70m1RcTf\nA38/ongjfdJeb968me9973udbj4hb3zjG9l55527WkeVj6Mq5wbOz/KKiJ8Cc0cp75t2uurqeow4\n73oZ1LzLmvzSMmo0GrlD6Et+X7bn98Ry+sxnPsM553yEXXc9qCv7/81v1vL3f38B733ve7uy/5Yq\nH0dVzg2cn1nd1fUYcd71Mqh5u2PCzMx64te//jURJ/Pkk0u6sv+hoQX8+te/7sq+zczMzKx7Jjr5\npZmZmZmZmZlZ6TTV2TN7SVIMUrxmNhgkEQN+C7p+MlZbvWTJEhYsWMOzz3bviomLLtqXBQsWdGX/\nZpaX2+ry+JzazLphKu20r5gwMzMzMzMzs2zcMVEBzWYzdwh9ye/L9vyemE1dlY+jKucGzs+s7up6\njDjvehnUvN0xYWZmZmZmZmbZeI4JM6s9j1sul+eYMLNucFtdHp9Tm1k3eI4JMzMzMzMzMxtI7pio\ngEEdR9Rtfl+25/fEbOqqfBxVOTdwfmZ1V9djxHlXw6xZc5DUtcesWXOy5ueOCTMzMzMzM7M+Njz8\nIBATeKyc4HrbPor95+M5Jsys9jxuuVyeY8LMusFtdXl8Tm02eCRRdCJ0rQam2i54joma6PblO/1w\nCY+ZmZmZmZnVy1DuALrthz/8IR/72MfpdqfwzTffyKZNj3S3EmD0XrIm0Chl78PD1fkiotls0mg0\ncofRV/yemE1dlY+jKucGzs+s7up6jDjvumlS1v+GvVT5jomvfvWrXHfdo0T8aRdr+Q7wCN29tAag\nOp0GZlYuSYcAn6NoiAS8HPgwcFUqPxBYC5wcEU+mbS4AzgA2A+dGxE2p/EhgKbArsCIi3pfKpwPL\ngd8BHgNOiYif9SZDMzMzM6uqyndMAEivJeJdXaxhCPh0F/e/I42MdfevevaQjs/vSXVFxAPA6wEk\nTQPWAV8CzgdujohLJZ0HXACcL+lw4GTgMGB/4GZJB6dBx5cDZ0bE7ZJWSHpbRNwInAlsjIiDJZ0C\nXAqc2uNUs6vycVTl3MD5mdVdXY8R5103jdwBdMRzTJiZVc9bgf8TEQ8BJwLLUvky4KT0/ATgmojY\nHBFrgdXAPEmzgD0i4va03vK2bdr3dR1wTFezMDMzM7NacMdEJTRzB9CXqnbv4jL4PamNU4DPpucz\nI2IYICI2APul8tnAQ23brE9lsymutmhZl8q22SYingc2SdqnGwn0syofR1XODZyfWd3V9Rhx3nXT\nzB1AR9wxYWZWIZJ2prga4vOpaOTkN2VOhuOJb8zMzMxsymoxx0T1NXIH0JfqO65sbH5PauF44I6I\neCwtD0uaGRHDaZjGo6l8PfCytu32T2Vjlbdv87CknYA9I2LjaEHMnz+fOXPmADBjxgzmzp3b9moz\n/WyUvJyW0jckrd/3spdbZd3af87lRqPRV/E4v3rn12w2Wbp0KcDW9sRsKtrb8Tpx3nXTyB1ARxTd\nvo9miSTFZONduHAhF174FFu2LOxSVFBMen8avbkrR/frGKTfCbMySCIiKvHtv6T/BdwQEcvS8iKK\nCSsXpckv946I1uSXVwNvohii8Q3g4IgISbcB5wC3A18DPhkRN0g6C3hNRJwl6VTgpIjYbvLLsdrq\nJUuWsGDBGp59dklXch8aWsBFF+3LggULurJ/M8urSm11bp2cU5tZXlK3/xec+v+BU2mnPZSjEpq5\nA+hL9R1XNja/J9UmaTeKiS+/2Fa8CPgjSfdTTFZ5CUBErAKuBVYBK4Cz2s5SzwauAB4AVkfEDan8\nCmBfSauB91Hc8aN2qnwcVTk3cH5mdVfXY8R5100zdwAd8VAOM7OKiIhfAS8dUbaRorNitPUXAttd\nThYRdwBHjFL+DMUtRs3MzMzMSuMrJiqhkTuAvlTfcWVjy/mezJo1B0ldfcyaNSdbflYfVW5bqpwb\nOD+zuqvrMeK866aRO4CO+IoJsz43a9Ychocf7God06btxpYtv+pqHYXujmcdHvbQYzMzMzOzQeMr\nJiqhmTuAvlSVcWVFp0SU9Fg5annRKVFWHWM9zKqhKm3LaKqcGzg/s7qr6zHivOummTuAjrhjwszM\nzMzMzMyymVLHhKQLJP1I0j2SrpY0XdLekm6SdL+kGyXtNWL91ZLuk3RsW/mRaR8PSFo8lZjqqZE7\ngL5U33Fl42nkDsBs4FW5balybuD8rD9ImibpB5KuT8ulnTunc/Fr0ja3Sjqgt9n1t7oeI867bhq5\nA+hIxx0Tkg4E3g28PiJeSzFfxZ9T3D7u5og4FLgFuCCtfzjFbO6HAccDl6m4GSvA5cCZEXEIcIik\nt3Ual5mZmZlZHzuX4lbNLWWeO58JbIyIg4HFwKXdTsbMrAxTuWLiKeBZ4MWShoAXAeuBE4FlaZ1l\nwEnp+QnANRGxOSLWAquBeZJmAXtExO1pveVt29iENHMH0JfqO65sPM3cAZgNvCq3LVXODZyf5Sdp\nf+DtwKfbiss8d27f13XAMd3IY1DV9Rhx3nXTzB1ARzrumIiIJ4CPAz+j6JB4MiJuBmZGxHBaZwOw\nX9pkNvBQ2y7Wp7LZwLq28nWpzMzMzMysSj4BfJBtZ4Uu89x56zYR8TywSdI+JedgZla6qQzleDnw\n34ADgd+muHLinWw//b6n4++6Ru4A+lJ9x5WNp5E7ALOBV+W2pcq5gfOzvCT9MTAcEXcB493fusxz\nZ99Hu01djxHnXTeN3AF0ZGgK274B+HZEbASQ9CXgd4FhSTMjYjhdavZoWn898LK27fdPZWOVj2r+\n/PnMmTMHgBkzZjB37tytv3Sty3Xal9esWQPsm7Zupp+NkpfZwetlLbfKurX/1nJaGuX99HLvl1/Q\nWm4M6HKrrNv1paVx3t9ms8nSpUsBtrYnZmZmXXYUcIKkt1MMgd5D0lXAhhLPnVuvPSxpJ2DP1rn6\nSJM9p/ayl72cd/kFreVGyctMOr5Sz6kjoqMH8DrgXmBXit7YpcDZwCLgvLTOecAl6fnhwJ3AdOAg\n4CeA0mu3AfPSflYAx41RZ0zWxRdfHNOmnR8QXXwsD6DLdcQ4dawstY6qWLlyZe4QSlHu79ZYvys5\nf3/LraPT9ziis7bQj4m31YsXL47p08/p2uc/NPTBWLRo0TifdDmq0raMpsq5RTi/QVeltho4Grg+\nPb+0rHNn4CzgsvT8VIo5KibcTldd1Y+RsTjvapj4ufTKnp5Hj4wxOmwXO75iIiLulrQcuAN4PjWc\nnwL2AK6VdAbwIMVswkTEKknXUsxC/BxwVgoeig6NpRSdHCsi4oZO47Kp2oUXJnzujpkzD2TDhrVd\nrcPMzMxsQFxCeefOVwBXSVoNPE7ROWFm1vf0QvvW/yTFZONduHAhF174FFu2LOxSVABXAadB16fT\nUGXqGKTfu9yKjqJqfO79+rsliYjwONySjNVWL1myhAUL1vDss0u6Uu/Q0AIuumhfFixY0JX9m1le\nbqvL08k5tZnl1f3/Cab+P9pU2ulpU6rZzMz6hqS9JH1e0n2SfiTpTZL2lnSTpPsl3Shpr7b1L5C0\nOq1/bFv5kZLukfSApMVt5dMlXZO2uVXSAb3O0czMzMyqxx0TldDMHUBf2n6iGPPvSuUtobik9zCK\neYB+DJwP3BwRhwK3ABcASDqc4nLhw4Djgcv0wjiuy4EzI+IQ4BBJb0vlZwIbI+JgYDHFuOjaqXLb\nUuXcwPmZ1V1djxHnXTfN3AF0xB0TZmYVIGlP4Pcj4kqAiNgcEU8CJwLL0mrLgJPS8xMoJkXbHBFr\ngdXAvDQj/B4RcXtab3nbNu37ug44pospmZmZmVlNuGOiEhq5A+hLrVvaWLtG7gCsew4CHpN0paQf\nSPqUpN2AmRExDBARG4D90vqzgYfatl+fymYD69rK16WybbaJiOeBTZL26VZC/arKbUuVcwPnZ1Z3\ndT1GnHfdNHIH0BF3TJiZVcMQcCTwTxFxJPA0xTCOkbMYlTlrkiehMzMzM7Mp6/h2odZPmgxqz1g3\nNZvNrveUzpo1h+HhB7taR7ma+HelstYBD0XE99PyFyg6JoYlzYyI4TRM49H0+nrgZW3b75/Kxipv\n3+ZhSTsBe0bExtGCmT9/PnPmzAFgxowZzJ07t+3VZvrZKHk5LaUxpa3jv+zlxYsXM3fu3K7tP+dy\n+3jcfojH+dU7v2azydKlSwG2tidmU9GLc8N+5Lzrpskgnu/7dqGlyH270Cbl/fL17y0dJ6sXjdHg\n3cqzyei/K4OWx9h11Pl2oZK+Cbw7Ih6Q9BFgt/TSxohYJOk8YO+IOD9Nfnk18CaKIRrfAA6OiJB0\nG3AOcDvwNeCTEXGDpLOA10TEWZJOBU6KiFNHiaPStwut8olOlXMD5zfoqtJW94O63i606sfIWJx3\nNUz8/44mnf1vmPd2ob5iohIauQPoS1VqiMrTyB2Addc5wNWSdgbWAO8CdgKulXQG8CDFnTiIiFWS\nrgVWAc8BZ7WdpZ4NLAV2pbjLxw2p/ArgKkmrgceB7Tol6qDKbUuVcwPnZ1Z3dT1GnHfdNHIH0BF3\nTJiZVURE3A28cZSX3jrG+guB7S4ni4g7gCNGKX+G1LFhZmZmZlYWT35ZCc3cAfSl9rG21tLMHYDZ\nwKty21Ll3MD5mdVdXY8R5103zdwBdMRXTFgGu6QxUt21994z2bhxQ9frMTMzMzMzs865Y6ISGrkD\nmKRn6P4kiPDEE54fa3uN3AGYDbwqj1mtcm7g/Mzqrq7HiPOum0buADrioRxmZmZmZmZmlo07Jiqh\nmTsAGxjN3AGYDbwqj1mtcm7g/Mzqrq7HiPOum2buADrijgkzMzMzMzMzy8YdE5XQyB2ADYxG7gDM\nBl6Vx6xWOTdwfmZ1V9djxHnXTSN3AB3x5JdWYb25+4eZmZmZmZl1zldMVEIzdwB9qnX3j24+Bk0z\ndwBmA6/KY1arnBs4P7O6q+sx4rzrppk7gI64Y8LMzMzMzMxsCmbNmoOkrj2qzkM5KqGROwAbGI3c\nAZgNvCqPWa1ybuD8zOqurseI8+6N4eEH6e4V1RPtnGh0MYbu8RUTZmZmZmZmZpaNOyYqoZk7ABsY\nzdwBmA28Ko9ZrXJu4PzM6q6ux4jzrptm7gA64o4JMzMzMzMzM8vGHROV0MgdgA2MRu4ArIskrZV0\nt6Q7JX0vle0t6SZJ90u6UdJebetfIGm1pPskHdtWfqSkeyQ9IGlxW/l0SdekbW6VdEBvM+wPVR6r\nW+XcwPmZ1V1djxHnXTeN3AF0xB0TZmbVsQVoRMTrI2JeKjsfuDkiDgVuAS4AkHQ4cDJwGHA8cJle\nmPL5cuDMiDgEOETS21L5mcDGiDgYWAxc2oukzMzMzKza3DFRCc3cAdjAaOYOwLpLbN+unwgsS8+X\nASel5ycA10TE5ohYC6wG5kmaBewREben9Za3bdO+r+uAY0rPYABUecxqlXMD52dWd3U9Rpx33TRz\nB9ARd0yYmVVHAN+QdLukv0plMyNiGCAiNgD7pfLZwENt265PZbOBdW3l61LZNttExPPAJkn7dCMR\nMzMzM6uPodwBWBkauQOwgdHIHYB111ER8YiklwI3Sbqf7W+oXeYNtid6Q+1KqfKY1SrnBs7PrO7q\neow477pp5A6gI1PqmEiTqH0aeA3F2OYzgAeAzwEHAmuBkyPiybT+BWmdzcC5EXFTKj8SWArsCqyI\niPdNJS4zszqKiEfSz59L+jIwDxiWNDMihtMwjUfT6uuBl7Vtvn8qG6u8fZuHJe0E7BkRG0eLZf78\n+cyZMweAGTNmMHfu3LZXm+lno+TltJQu3WydkHjZy14ezOVms8nSpUsBtrYng0zSLsB/ANPT4ysR\n8SFJe1PSubOk6RRD8H4HeAw4JSJ+1qsczcw6FhEdPygaxHel50PAXsAiYEEqOw+4JD0/HLgzrTcH\n+Amg9Np3gTem5yuAt41RX0zWxRdfHNOmnR8QXXwsD6DLdcQ4dazsQR29yGMQ6xm0OlZWJI+x6+hE\n2o5BfgC7Abun5y8Gvg0cm9rk81L5aG3ydOCgEW3ybRSdGkpt8nGp/CzgsvT8VIo5KkaLZdT3efHi\nxTF9+jld+/yHhj4YixYt6uA3YHJWrlzZ9TpyqXJuEc5v0FWlrU4/d0pt7VFlnjsD72lrp0+ZbDtd\ndVU/RsbivHuj++e6E93/yp6eR498D6LD9rHjOSYk7Qn8fkRcmVq3zVH07pY50ZqZmU3MTOBbku6k\nONn9ahTfrC0C/igN6zgGuAQgIlYB1wKrKE5qz0p/UADOBq6guAJudUTckMqvAPaVtBp4H8UdP8zM\nbIIi4lfp6S4Uc709gScpNjOb0lCOg4DHJF0JvA74PsWJ6jYTrUlqn2jt1rbtWxOtbWbsidZsQhq5\nA7CB0cgdgHVJRPwUmDtK+UbgrWNssxBYOEr5HcARo5Q/Q3GL0Vqr8pjVKucGzs/ykzQNuAN4BfDP\nEbGqNdwOSjl33maSYkmbJO0TYwy7q5u6HiPOu24auQPoyFTuyjEEHAn8U0QcCTxN8e1ZjFhv5LKZ\nmZmZWe1ExJaIeD3F/D2/L6lBd8+dazlJsZkNnqlcMbEOeCgivp+Wv0DRMVHmRGvbGW1CtfEmUFqz\nZg2wb9q6mX42Sl5mB6+XtdwqG63+Ron1sYPX+33/reVWWbf231pmB6/30/7voriwqcz4JrrcKut2\nfWmpRhOqWW81m83KfgtT5dzA+Vn/iIinJK0A3kAfTVLcD5OednO5VdYv8fRqefHixbX4fHN/3i9o\nLTdKXp7o/hdTXETb2f6zTVLc6eQUaSjyN4FD0vOPUIxlLm2itVHqm/QEHJ78sqw6epHHINYzaHWs\nrEgeY9fRibQdfpQ2uduo77Mnv+x/Vc4twvkNukFvqym+KdsrPX8RxR06jinz3JkpTlJcdVU/Rsbi\nvHuj++e61Z78ckq3CwXOAa6WtDOwBngXxSzD10o6A3iQNB45ijF0rYnWnmP7idaW8sItj27AJqGR\nOwAbGI3cAZgNvCp/I13l3MD5WXa/BSyTJIrh1FdFxL+nSYvLOne+ArgqTVL8OEXnhCV1PUacd900\ncgfQkSl1TETE3cAbR3mplInWzMzMzMyqICLupZifbWS5Jyk2s9qbljsAK0MzdwA2MJq5AzAbeNuP\nJa2OKucGzs+s7up6jDjvumnmDqAj7pgwMzMzMzMzs2zcMVEJjdwB2MBo5A7AbOBVecxqlXMD52dW\nd3U9Rpx33TRyB9ARd0yYmZmZmZmZWTbumKiEZu4AbGA0cwdgNvCqPGa1yrmB8zOru7oeI867bpq5\nA+iIOybMzMzMzMzMLBt3TFRCI3cANjAauQMwG3hVHrNa5dzA+ZnVXV2PEeddN43cAXTEHRNmZmZm\nZmZmlo07JiqhmTsAGxjN3AGYDbwqj1mtcm7g/Mzqrq7HiPOum2buADrijgkzs4qQNE3SDyRdn5b3\nlnSTpPsl3Shpr7Z1L5C0WtJ9ko5tKz9S0j2SHpC0uK18uqRr0ja3Sjqgt9mZmZmZWVW5Y6ISGrkD\nsIHRyB2Adde5wKq25fOBmyPiUOAW4AIASYcDJwOHAccDl0lS2uZy4MyIOAQ4RNLbUvmZwMaIOBhY\nDFza7WT6VZXHrFY5N3B+ZnVX12PEeddNI3cAHXHHhJlZBUjaH3g78Om24hOBZen5MuCk9PwE4JqI\n2BwRa4HVwDxJs4A9IuL2tN7ytm3a93UdcEw38jAzMzOz+nHHRCU0cwdgA6OZOwDrnk8AHwSirWxm\nRAwDRMQGYL9UPht4qG299alsNrCurXxdKttmm4h4HtgkaZ+ScxgIVR6zWuXcwPmZ1V1djxHnXTfN\n3AF0xB0TZmYDTtIfA8MRcRegcVaNcV6bdLUl7svMzMzMamwodwBWhkbuAGxgNHIHYN1xFHCCpLcD\nLwL2kHQVsEHSzIgYTsM0Hk3rrwde1rb9/qlsrPL2bR6WtBOwZ0RsHCug+fPnM2fOHABmzJjB3Llz\n215tpp+NkpfTUvqGpDW2tOzlVlm39p9zudFo9FU8zq/e+TWbTZYuXQqwtT0xm4r2drxOnHfdNHIH\n0BFFlPkFWndJisnGu3DhQi688Cm2bFnYpagArgJOo9wvI0cj19F39biOfqujkzZNEhFRiSsAJB0N\n/G1EnCDpUuDxiFgk6Txg74g4P01+eTXwJoohGt8ADo6IkHQbcA5wO/A14JMRcYOks4DXRMRZkk4F\nToqIU8eIYdS2esmSJSxYsIZnn13ShcxhaGgBF120LwsWLOjK/s0sryq11bl1ck5tZuMr5hHv5nHV\n/f1PtV2YSjvtoRyV0MwdgA2MZu4ArLcuAf5I0v0Uk1VeAhARq4BrKe7gsQI4q+0M9WzgCuABYHVE\n3JDKrwD2lbQaeB/FHT9qqcpjVqucGzg/s7qr6zHivOummTuAjngoh5lZhUTEN4FvpucbgbeOsd5C\nYLtLySLiDuCIUcqfobjFqJmZmZlZqXzFRCU0cgdgA6OROwCzgVflMatVzg2cn1nd1fUYcd5108gd\nQEfcMWFmZmZmZmZm2bhjohKauQOwgdHMHYDZwKvymNUq5wbOz6zu6nqMOO+6aeYOoCPumDAzMzMz\nMzOzbNwxUQmN3AHYwGjkDsBs4FV5zGqVcwPnZ1Z3dT1GnHfdNHIH0BF3TJiZmZmZmZlZNu6YqIRm\n7gBsYDRzB2A28Ko8ZrXKuYHzM6u7uh4jzrtumrkD6Ig7JszMzMzMzMwsG3dMVEIjdwA2MBq5AzAb\neFUes1rl3MD5mdVdXY8R5103jdwBdGTKHROSpkn6gaTr0/Lekm6SdL+kGyXt1bbuBZJWS7pP0rFt\n5UdKukfSA5IWTzUmMzMzM7N+Iml/SbdI+pGkeyWdk8pLO3eWNF3SNWmbWyUd0Nsszcw6U8YVE+cC\nq9qWzwdujohDgVuACwAkHQ6cDBwGHA9cJklpm8uBMyPiEOAQSW8rIa4aaeYOwAZGM3cAZgOvymNW\nq5wbOD/LbjPw/oh4NfAW4GxJr6Lcc+czgY0RcTCwGLi0N6kNhroeI867bpq5A+jIlDomJO0PvB34\ndFvxicCy9HwZcFJ6fgJwTURsjoi1wGpgnqRZwB4RcXtab3nbNmZmZmZmAy8iNkTEXen5L4H7gP0p\n99y5fV/XAcd0LyMzs/JM9YqJTwAfBKKtbGZEDEPRAAP7pfLZwENt661PZbOBdW3l61KZTVgjdwA2\nMBq5AzAbeFUes1rl3MD5Wf+QNAeYC9xGuefOW7eJiOeBTZL26UoSA6iux4jzrptG7gA60nHHhKQ/\nBoZTz6/GWTXGec3MzMzMrDYk7U5xNcO56cqJkefKZZ47j3eObmbWN4amsO1RwAmS3g68CNhD0lXA\nBkkzI2I4XWr2aFp/PfCytu33T2VjlY9q/vz5zJkzB4AZM2Ywd+7crb1hrXFE7ctr1qwB9k1bN9PP\nRsnL7OD1spZbZaPV3yixPnbwer/vv7XcKuvW/lvL7OD1ftr/XcD7So5vosutsm7Xl5ZGaQ9ay81m\nk6VLlwJsbU8GnaRdgP8ApqfHVyLiQ5L2Bj4HHAisBU6OiCfTNhcAZ1CMez43Im5K5UcCS4FdgRUR\n8b5UPp3ikuHfAR4DTomIn/Uqx37RbDYr+y1MlXMD52f5SRqi6JS4KiK+koqHSzx3br32sKSdgD0j\nYuNosUz2nLoKy62yfomnV8uLFy+uxeeb+/N+QWu5UfLyRPe/mOKCrM72P5n8Sz2njogpP4CjgevT\n80uB89Lz84BL0vPDgTspTpgPAn4CKL12GzCPold3BXDcGPXEZF188cUxbdr5AdHFx/IAulxHjFPH\nyh7U0Ys8BrGeQatjZUXyGLuOTqTtGPQHsFv6uVNqV48CFgELUvlobfIQMGdEm/xd4I3p+Qrgben5\ne4DL0vNTKMY+jxbHqO/z4sWLY/r0c7r2+Q8NfTAWLVo06c9/slauXNn1OnKpcm4Rzm/QVaGtpujc\n/Z8jyhaVde4MnNXWTp862Xa66qp+jIzFefdG9891J7r/lT09jx75HkSH7eO0cfosOnUJ8EeS7qeY\ncOeS1PqtAq6luIPHCuCsFDzA2cAVwAPA6oi4oQtxVVgjdwA2MBq5A7Auiohfpae7UAzVewJPqla6\nKn8jXeXcwPlZXpKOAt4J/KGkOyX9QNJxFB0TZZ07XwHsK2k1xSWS5/cmu8FQ12PEeddNI3cAHZnK\nUI6tIuKbwDfT843AW8dYbyGwcJTyO4AjyojFzKyuJE0D7gBeAfxzRKxqXR4MEBEbJLVPqnZr2+at\nSdU2M8FJ1SRtkrRPjHGZsJmZvSAivk1xRdtoSjl3johnKG4xamY2ULpxxYT1XDN3ADYwmrkDsC6K\niC0R8XqK8ca/L6kBnlStbNuPJa2OKucGzs+s7up6jDjvumnmDqAjpVwxYWZm/SMinpK0AngDfTSp\n2gua6Wej5OW01OVJru66666u7t/LXvZyFyZVMzOzvqYXhqr1P0kx2XgXLlzIhRc+xZYt210FV6Kr\ngNMo94vI0ch19F09rqPf6uikTZNERAz0t/+S9gWei4gnJb0IuBH4O+BYYGNELJJ0HrB3RJwv6XDg\nauBNFEM0vgEcHBEh6TbgHOB24GvAJyPiBklnAa+JiLMknQqcFBGnjhLLqG31kiVLWLBgDc8+u6Qb\nbwFDQwu46KJ9WbBgQVf2b2Z5VaGt7hednFOb2fikbp/rdn//U20XptJOx+fsGgAAIABJREFU+4oJ\nM7Nq+C1gmYq/itMobkX375LuBK6VdAbwIGnscZp/ojWp2nNsP6naUl64XWj7pGpXpUnVHqeY8d3M\nzMzMbEo8x0QlNHMHYAOjmTsA65KIuDcijoyI10fE6yLiH1L5xoh4a0QcGhHHRsSmtm0WRsQrI+Kw\niLiprfyOiDgiIg6OiHPbyp+JiJNT+ZvT3Txqp8pjVqucGzg/s7qr6zHivOummTuAjrhjwszMzMzM\nzMyyccdEJTRyB2ADo5E7ALOBV+X7olc5N3B+ZnVX12PEeddNI3cAHXHHhJmZmZmZmZll446JSmjm\nDsAGRjN3AGYDr8pjVqucGzg/s7qr6zHivOummTuAjrhjwszMzMzMzMyyccdEJTRyB2ADo5E7ALOB\nV+Uxq1XODZyfWd3V9Rhx3nXTyB1AR9wxYWZmZmZmZmbZuGOiEpq5A7CB0cwdgNnAq/KY1SrnBs7P\nrO7qeow477pp5g6gI+6YMDMzMzMzM7Ns3DFRCY3cAdjAaOQOwGzgVXnMapVzA+dnVnd1PUacd900\ncgfQEXdMmJmZmZmZmVk27piohGbuAGxgNHMHYDbwqjxmtcq5gfMzq7u6HiPOu26auQPoiDsmzMzM\nzMzMzCwbd0xUQiN3ADYwGrkDMBt4VR6zWuXcwPmZ1V1djxHnXTeN3AF0xB0TZmYVIGl/SbdI+pGk\neyWdk8r3lnSTpPsl3Shpr7ZtLpC0WtJ9ko5tKz9S0j2SHpC0uK18uqRr0ja3Sjqgt1mamZmZWRW5\nY6ISmrkDsIHRzB2Adc9m4P0R8WrgLcDZkl4FnA/cHBGHArcAFwBIOhw4GTgMOB64TJLSvi4HzoyI\nQ4BDJL0tlZ8JbIyIg4HFwKW9Sa2/VHnMapVzA+dnVnd1PUacd900cwfQEXdMmJlVQERsiIi70vNf\nAvcB+wMnAsvSasuAk9LzE4BrImJzRKwFVgPzJM0C9oiI29N6y9u2ad/XdcAx3cvIzMzMzOrCHROV\n0MgdgA2MRu4ArAckzQHmArcBMyNiGIrOC2C/tNps4KG2zdanstnAurbydalsm20i4nlgk6R9upJE\nH6vymNUq5wbOz6zu6nqMOO+6aeQOoCNDuQMwM7PySNqd4mqGcyPil5JixCojl6dU3VgvzJ8/nzlz\n5gAwY8YM5s6d2/ZqM/1slLycltKlm60TEi972cuDudxsNlm6dCnA1vbEzMyqSRFlnqN2l6SYbLwL\nFy7kwgufYsuWhV2KCuAq4DTKPd8fjcaoo0l5PWNj1VGmXtTRq3oGrY4mo/+uDFoeY9fRSZsmiYgY\n85/sQSFpCPg34OsRsSSV3Qc0ImI4DdNYGRGHSTofiIhYlNa7AfgI8GBrnVR+KnB0RLyntU5EfFfS\nTsAjEbHfKHGM2lYvWbKEBQvW8OyzS7qRPkNDC7joon1ZsGBBV/bf0mw2K/stTJVzA+c36KrSVveD\nTs6pq6Dqx8hYnHdvFFN1dfO4muj+m3T2v2Fn59Hb7GEK7bSHcpiZVcdngFWtTonkemB+en468JW2\n8lPTnTYOAl4JfC8N93hS0rw0GeZpI7Y5PT3/M4rJNM3MzMzMpsRDOSqhkTsAGxiN3AFYl0g6Cngn\ncK+kOym61D8ELAKulXQGxdUQJwNExCpJ1wKrgOeAs9q+PjsbWArsCqyIiBtS+RXAVZJWA48Dp/Yi\nt35T5W+dqpwbOD+zuqvrMeK866aRO4COuGPCzKwCIuLbwE5jvPzWMbZZCGw3zi0i7gCOGKX8GVLH\nhpmZmZlZWToeyiFpf0m3SPqRpHslnZPK95Z0k6T7Jd0oaa+2bS6QtFrSfZKObSs/UtI9kh6QtHhq\nKdVRM3cANjCauQMwG3ityfmqqMq5gfOz/CRdIWlY0j1tZaWdO6fhedekbW6VdEDvsut/dT1GnHfd\nNHMH0JGpzDGxGXh/RLwaeAtwtqRXAecDN0fEoRTjjy8AkHQ4xTdthwHHA5el8csAlwNnRsQhwCGS\n3jaFuMzMzMzM+tGVwMjz3DLPnc8ENkbEwcBi4NJuJmNmVpaOOyYiYkNE3JWe/xK4D9gfOBFYllZb\nBpyUnp8AXBMRmyNiLbAamJdmid8jIm5P6y1v28YmpJE7ABsYjdwBmA28Ko9ZrXJu4Pwsv4j4FvDE\niOIyz53b93UdcEzpSQywuh4jzrtuGrkD6Egpd+WQNAeYC9wGzIyIYSg6L4DWreRmAw+1bbY+lc0G\n1rWVr0tlZmZmZmZVt1+J585bt4mI54FNkvbpXuhmZuWY8uSXknan6JE9NyJ+KWnkzU9LvZnr/Pnz\nmTNnDgAzZsxg7ty5W3vDWuOI2pfXrFkD7Ju2bqafjZKX2cHrZS23ykarv1Fifezg9X7ff2u5Vdat\n/beW2cHr/bT/u4D3lRzfRJdbZd2uLy2N0h60lpvNJkuXLgXY2p6YTVSV7wdf5dzA+dnAKPPcWWO9\nMNlz6iost8r6JZ5eLS9evLgWn2/uz/sFreVGycsT3f9iimsGOtv/ZPIv9Zw6Ijp+UHRs3EDRKdEq\nu4/iqgmAWcB96fn5wHlt690AvKl9nVR+KnD5GPXFZF188cUxbdr5AdHFx/IAulxHjFPHyh7U0Ys8\nBrGeQatjZUXyGLuOTqTt8KOcx1ifw+LFi2P69HO69vkPDX0wFi1aNM4nXY6VK1d2vY5cqpxbhPMb\ndFVpq4EDgXvalks7d26tk57vBDw6RgxT/jwGUdWPkbE4797o/rnuRPe/sqfn0SPfg+iwbZw2pV4N\n+AywKiKWtJVdD8xPz08HvtJWfmqaLfgg4JXA96K4ZO1JSfPShD6ntW1jE9LIHYANjEbuAMwGXpW/\nka5ybuD8rG+Iba9kKPPc+fq0D4A/o5hM05K6HiPOu24auQPoSMdDOSQdBbwT/n/27j1e7qq+9//r\nDTRSEUJQIRqE6OEiKjYERaut7h4RRCrQ/g4QqZcotj1GC9ZaIZ62oNYG8LQCR+H8qkiAohHpUbnJ\nrTC2ekAjQoKCkFYTSCCbS7iUWiOEz/ljrZ18987s7Nl7z8x3Zs37+Xjsx55Z872sz/c73zXfWbMu\n3CnpdiCATwBnApdJej+whjznfUTcJeky4C7gaWBRrlUB+BCwFNgRuCYirp1qvszMzMzMepGkr5C+\nNTxf0n3AacAZwNfbdO98AXCJpFXAo6TWFGZmPW/KLSYi4nsRsX1EzIuIgyJifkRcGxEbIuLQiNg/\nIg6LiMcr6yyJiH0i4oCIuL6SfltEHBgR+0bEydMNavA06s6A9Y1G3Rkw63tb9yUtR8mxgeOz+kXE\nCRHx4oh4TkTsFREXRsRj7bp3joiNEXFcTn99pNk8LBvUa8RxD5pG3RmYkul25TAzMzMzMzMzmzJX\nTBRhqO4MWN8YqjsDZn2v5D6rJccGjs9s0A3qNeK4B81Q3RmYEldMmJmZmZmZmVltXDFRhEbdGbC+\n0ag7A2Z9r+Q+qyXHBo7PbNAN6jXiuAdNo+4MTIkrJszMCiDpAknDklZW0mZJul7SPZKukzSz8tpi\nSask3S3psEr6fEkrJd0r6exK+gxJy/I6t0jaq3vRmZmZmVnJXDFRhKG6M2B9Y6juDFjnXAgcPibt\nVODGiNifNJf9YgBJryBNR3cAcARwniTldc4HToyI/YD9JI1s80RgQ0TsC5wNnNXJYHpZyX1WS44N\nHJ/ZoBvUa8RxD5qhujMwJa6YMDMrQER8F3hsTPLRwEX58UXAMfnxUcCyiHgmTyW3CjhE0mxg54hY\nnpe7uLJOdVuXA29pexBmZmZmNpBcMVGERt0ZsL7RqDsD1l27R8QwQESsB3bP6XOA+yvLrctpc4C1\nlfS1OW3UOhGxCXhc0m6dy3rvKrnPasmxgeMzG3SDeo047kHTqDsDU+KKCTOzwRFt3JYmXsTMzMzM\nbGI71J0Ba4ehujNgfWOo7gxYdw1L2iMihnM3jYdy+jrgJZXl9sxp46VX13lA0vbALhGxYbwdL1y4\nkLlz5wKw6667Mm/evMqrjfx/qM3P87P8C8lI39J2Px9J69T263w+NDTUU/lxfIMdX6PRYOnSpQCb\nyxOz6aiW44PEcQ+aobozMCWKaOcPaJ0lKSab3yVLlvAXf/Ekzz67pEO5ArgEeA/t/TGyGXkfPbcf\n76PX9jGVMk0SEdH3LQAkzQWujIgD8/MzSQNWninpFGBWRJyaB7+8FHgdqYvGDcC+ERGSbgVOApYD\nVwPnRsS1khYBr4qIRZIWAMdExIJx8tG0rD7nnHP4+Md/xq9+dU6bI0922OHjfOYzL+DjH/94R7Zv\nZvUqpazuBVO5pzazbUvjiHfyuur89qdbLkynnHZXjiI06s6A9Y1G3RmwDpH0FeD/kmbSuE/S+4Az\ngLdKuoc0WOUZABFxF3AZcBdwDbCocof6IeAC4F5gVURcm9MvAF4gaRXwEdKMHwOp5D6rJccGjs9s\n0A3qNeK4B02j7gxMibtymJkVICJOGOelQ8dZfgmwVVOyiLgNOLBJ+kbSFKNmZmZmZm3lFhNFGKo7\nA9Y3hurOgFnfK7nPasmxgeMzG3SDeo047kEzVHcGpsQVE2ZmZmZmZmZWG1dMFKFRdwasbzTqzoBZ\n3yu5z2rJsYHjMxt0g3qNOO5B06g7A1PiigkzMzMzMzMzq40rJoowVHcGrG8M1Z0Bs75Xcp/VkmMD\nx2c26Ab1GnHcg2ao7gxMiSsmzMzMzMzMzKw2rpgoQqPuDFjfaNSdAbO+V3Kf1ZJjA8dnNugG9Rpx\n3IOmUXcGpsQVE2ZmZmZmZmZWG1dMFGGo7gxY3xiqOwNmfa/kPqslxwaOz2zQDeo14rgHzVDdGZgS\nV0yYmZmZmZmZWW1cMVGERt0ZsL7RqDsDZh316U9/Fkkd+5s9e27RfVZLjg0cn9mgG9RrxHEPmkbd\nGZiSHerOgJmZWbs89dQjQHRs+8PD6ti2zczMzAaVW0wUYajuDFjfGKo7A2Z9r+Q+qyXHBo7PbNAN\n6jXiuAfNUN0ZmBJXTJiZmZmZmZlZbXqmYkLS2yT9VNK9kk6pOz/9pVF3BqxvNOrOgPU5l9Vl91kt\nOTZwfDY4XFY3N6jXiONOZs+e29FxqHpHo+4MTElPVExI2g74PHA48ErgnZJeXm+u+skddWfA+obf\nKzZ1LquTO+4o9zoqOTZwfDYYXFaPb1CvEcedDA+vIY1D1am/XtGf57snKiaAQ4BVEbEmIp4GlgFH\n15ynPvJ43RmwvuH3ik2Ly2rg8cfLvY5Kjg0cnw0Ml9XjGNRrxHEPmv6Mu1cqJuYA91eer81pZmbW\nO1xWm5n1PpfVZtZ3BmK60O22u4EddvhFx7b/7LN388wzHdt8C1bXuXPrK6vrzoANuIjvMGPGyR3a\n9nc7st2xVq9e3ZX91KHk2MDxmXXLJz7xCZYsWdKx7V922WUce+yxk15vUK+Rfop79uy5uctFe3zy\nk59s27b6x+q6MzAliqi/P4yk1wOnR8Tb8vNTgYiIM8csV39mzaxIEdFLoxb1JJfVZlY3l9UTa6Ws\ndjltZp0y1XK6VyomtgfuAd4CPAj8AHhnRNxda8bMzGwzl9VmZr3PZbWZ9aOe6MoREZskfRi4njTu\nxQUuPM3MeovLajOz3uey2sz6UU+0mDAzMzMzMzOzwdQrs3KMIum/SfqxpE2S5o95bbGkVZLulnRY\nJX2+pJWS7pV0dvdz3V2STpO0VtKP8t/bKq81PUaDQtLbJP00vxdOqTs/dZK0WtIKSbdL+kFOmyXp\nekn3SLpO0sy689lpki6QNCxpZSVt3OMw6NfQVJVy7U32uun190u73v+9+jk7TnyT/ozsxfgk7Snp\nJkk/kXSnpJNyehHnr0l8f5LTizh/vWCiclnSCbm8WyHpu5IOrCOf7dbq55Gk10p6WtLvdzN/ndJK\n3JKG8ufbjyXd3O08dkIL7/PnS/q2pDtyWbOwhmy2XbPPvybLnJvLzDskzetm/iYtInruD9gf2Be4\nCZhfST8AuJ3UBWUu8K9safXxfeC1+fE1wOF1x9HhY3Qa8NEm6eMeo0H4I1W2/SuwN/BrwB3Ay+vO\nV43H42fArDFpZwIfz49PAc6oO59dOA6/BcwDVk50HIBXDPI1NI1jXMy1N5nrph/eL+16//fq5+w4\n8U36M7IX4wNmA/Py4+eRxg14eSnnbxvxFXH+6v5rpVwGXg/MzI/fBtxad767EXdluX8CrgJ+v+58\nd+l8zwR+AszJz19Qd767FPdpwJKRmIFHgR3qznsbYt/q82/M60cAV+fHr+v167snW0xExD0RsQoY\nO6Ln0cCyiHgmIlYDq4BDJM0Gdo6I5Xm5i4Fjupbh+jQb8bTpMepqrup1CLAqItZExNPAMtIxGVRi\n65ZRRwMX5ccXMQDXSqR5JB8bkzzecTiKwb6Gpqqka28y103Pv1/a8f7v5c/ZceKDSXxG9mp8EbE+\nIu7Ij58C7gb2pJDzN058c/LLfX/+esCE5XJE3BoRT+Snt7Ll+PezVj+P/gS4HHiom5nroFbiPgH4\nx4hYBxARj3Q5j53QStzrgZ3z452BRyPimS7msSO28fk34mhSeUhEfB+YKWmPbuRtKnqyYmIb5gD3\nV56vy2lzgLWV9LWUUbBO5MO5Wc6XKs04xztGg2Js/IPyXhhPADdIWi7pAzltj4gYhnRTCOxeW+7q\ntfs4x2HQr6GpKunam8x106/vl8m+//vxc3Yyn5E9H5+kuaRfxm5l8u/Hforv+zmpqPNXk8mWyx8A\nvt3RHHXHhHFLejFwTEScT/NKsH7UyvneD9hN0s35M+7dXctd57QS9xeBV0p6AFgBnNylvNWtr+5R\naquYkHRD7gs48ndn/v+OuvLUayY4RucBL4uIeaRawL+tN7fWo94YEfOBtwMfkvTbpC9dVR4BN/Fx\nsBGDeN2UFk9Rn5GSnkf6Zffk3LKgqPdjk/iKOn/9QNLvAO8jdQ0aBGczOtZSKicmsgMwn9TE/23A\nX0rap94sdcViYEVEvBg4CPhCLnesh9Q2XWhEvHUKq60DXlJ5vmdOGy+9r03iGH0RuDI/LvJYTMI6\nYK/K80GLf5SIeDD/f1jSN0nN3YYl7RERw7n5aylNGCdrvOMw6NfQVBVz7U3yuunX98tk4+mrOCPi\n4crTVj4jezY+STuQvrRfEhHfysnFnL9m8ZV0/mrWUrks6dXA3wNvi4htNQvvF63E/RpgmSSRxhw4\nQtLTEXFFl/LYCa3EvRZ4JCJ+CfxS0j8Dv0Eao6FftRL3G4HPAETEv0n6OWk8mx92JYf16auysR+6\nclRrMK8AFkiaIemlwD7AD3IzxickHZILmPcA32qyrWLkG5ERvw/8OD9ueoy6nb8aLQf2kbS3pBnA\nAtIxGTiSnjtSGyxpJ+Aw4E7S8ViYF3svhV8rFWLr8mRhflw9DoN+DU1VEdfeFK6bfnm/TOv93wef\ns6Pim+xnZI/H92Xgrog4p5JW0vnbKr7Czl+dJiyXJe0F/CPw7oj4txry2AkTxh0RL8t/LyVVjC3q\n80oJaO1z+FvAb0naXtJzSQMi3t3lfLZbK3HfDRwKkMdY2I800HUJxn6+V11BKg+R9Hrg8ZFugD2p\nW6NsTuaPNGDR/cB/Ag8C3668tphUq3c3cFgl/WDSzeMq4Jy6Y+jCMboYWEkaefabpP6m2zxGg/JH\napp2T34vnFp3fmo8Di/N74/b87Vxak7fDbgxH6PrgV3rzmsXjsVXgAeAjcB9pOaqs8Y7DoN+DU3j\nOPf9tTeV66bX3y/tev/36ufsOPFN+jOyF+Mj/cq3qfKe/FG+zib9fuyz+Io4f73w16xcBv4Y+KP8\n+IukGQp+lM/BD+rOczfiHrPslylgVo5W4wY+RpqZYyXwJ3XnuRtxk1rFXEkaX2Il8M6689ymuJt9\n/o0935/PZeYKKrNd9uLfyBRLZmZmZmZmZmZd1w9dOczMzMzMzMysUK6YMDMzMzMzM7PauGLCzMzM\nzMzMzGrjigkzMzMzMzMzq40rJszMzMzMzMysNq6YMDMzMzMzM7PauGLCzMzMzMzMzGrjigkzMzMz\nMzMzq40rJszMzMzMzMysNq6YMDMzMzMzM7PauGLCzMzMzMzMzGrjigkzMzMzMzMzq40rJszMzMzM\nzMysNq6YMDMzMzMzM7PauGLCzMzMzMzMzGrjigkzMzMzMzMzq40rJszMzMzMzMysNq6YMDMzMzMz\nM7PauGLCzMzMzMzMzGrjigkzMzMzMzMzq40rJszMzMzMzMysNq6YMDMzMzMzM7PauGLCzMzMzMzM\nzGrjigkzMzMzMzMzq40rJszMzMzMzMysNq6YMDMzMzMzM7PauGLCzMzMzMzMzGrjiok+IOl8Sf+j\n7nwMAkknSLq2S/t6r6R/6ca+uk3SzyX917rzYdYPXMZ3TzfL+Mo+n5X0sm7uM++35XJY0o8lvanT\neTLrtMmUp5IulPSpbbxey7VbF0mnSbqkhv3+nqT7JD0p6TfasD2/B/qUKyaaaPXDXNLNkt7f6fxE\nxAcj4jN5n2+WdP90t5m/FD8r6W/HpB+d07883X20kIdtFgZjlj1N0sWdzlNEfCUi3lbZb8sFkqS9\n8/JP5r9/z/+P3dYup53pbedpq/zX9cHTCldoWDe4jHcZX9nvtG86m5T9P5N0SnW3U9zubEl/L2ld\n3u6/SvqypP2mk99mIuJVEfHP7d6u2VRIWi1pWNKvV9JOlHTzROtWy9M26Og92kQkNST9p6Q5lbS3\nSPp5B3fb1pglvULStyQ9LukJSf8k6TfHLPZZYFFE7BIRK6Zz/qG498Cxkr4n6T8k3VRnXrrBFRP9\nR7TvIvk34DhJ1ffBe4B72rT9Ekz2WAcwMxeuO+f/X+9ExiaRn8mkm1m9XMZ3V7uO9eayHzgB+CtJ\nh+XXNNmNSdoN+L/ArwNvzNudD3wHeGt7smzWs4L0HeUjTdK7adLXbtONSNtPcdUAngL+skl6T5O0\nfa70/S6wApgLvBj4JnC9pNdVFt8buKvyvFfOP9T/HngU+BywpB356HWumNiGkab2kj4raYOkf5N0\neH7tr4HfBj6ff8k4N6e/XNL1kh6VdHf11/L869HnJV2V17lF0ksrr38u1xA+IWmFpFdU1vuUpOcC\n1wAvrvwa/6Jcizarsp35kh5q4SJYD9wJjMQ0C3gDcMWY4/D6XFv3mKTbJb258tpCSXdVfs35o8pr\nb5Z0v6SP5rjWSVo4zrEe+cXpPZLW5Px/Ir92OPAJ4Pgc9+05fRdJX5L0QN7PpyVpG+eu+ivZwpz2\nZP7/zup6+fF3SAXSyrzccZLulHRkZTs7SHpYo5ueNS3EJO0m6Yp8fm8F/suY1w+T9NN8nL+Qa8rf\nX3n9/flYPyrp25L2arafsbudcAHpDZJ+kPf7fVVqsrd1jPPrf1g5/z+WNK+y6YPy+/gxSV+VNCOv\n83xJV+b0R/NxRunX0r2AK/P2PtZCfGZTNk454TLeZfxEZfx4BBARtwI/AV5Vee2tku7Nef18C9v6\nKPBERLw7Ilbn7T4ZERdFxBcq+Tsql70bJN0k6eVNMybtKOmivNxPJP25Ki1z5NZq1ns+C/yZpF3G\nvtBCOfypyvOP5zJkrdKv7mNbSe02XpmdHZnLkIcknVXZriT9hdKv++slLR3Ja6W8e7+kNcA/SXqO\npH+Q9Ii23G+9sIXjcC7wzib5GsnHqHiq8VfK6D/P+V8n6RhJR+Ty6BFJp47Z5K9LWpaPxw8lvbqy\n7RdJujxv698k/UnltdMkfV3SJZIeB94LnA7834j4q4h4PCL+IyL+F3AJcKakGZL+nfR9dKWkVZV8\njHv+8/4G4j0QETdFxOXAg9tarhSumJjY64C7geeTLpIvA0TEXwD/Anw4/yp+ktJN5fXAPwAvABYA\n5425UTgeOA3YlfRr1kjz3cOA3wL2iYiZwHGkWrLNIuIXwBHAA5Vf4x8Ebs7Lj3gX8NWI2DRBbAFc\nTCo8yPn9JvCrkQWUmo9dBXwqImYBHwP+UdLz8yLDwNvzrznvAz6n0V9OZwM7k2pJPwB8QdLMbeTp\njcC+wKGkX5z2j4jrgL8BvpbjPigve1HO68uAg0i/In2gsq1DGH3uLsgxPRc4Bzg85/sNwB1jjgsR\nMXJzfmA+1pflfb67suyRpPOxopI2XmXAecAvgD2AE4FqpcMLgK8Dp+T83gNUKwiOBk4FjgFeSHrv\nfXWc/bRM6YvKVcDZeb+fA67Wli9B4x7j/CHwV8C78nE8itHv2WOBw4CXAr8BLMzpfwbcn/e3O+kL\nCRHxHuA+4Hfz8f6f043PrAUu413GT7aMH89IpckbgVcAPxqznYNJZeFx2tKaYjxvAb6xzZ2lLh1f\nAU4ifS58m1Sxu0OTxU8nVfzOJR3Hd9EHv7raQPsh0AD+vJrYYjk8suzbSL+6/1dgH2CIrd/3Tcvs\nimNIrZXmA0dryw9G7yO1QHszqYzaGRhb6fgmYH9S5fB78zJzgN2A/w7857YOQLYO+CIwXre4ia7j\n2cAM4EWkOL9Iuv7n5fz9laS9K8sfBXwNmEW6z/ymUusHAVcCt+dtvQU4WdJbx6x7WUTsSiqb3kq6\ntx3rMtJngSJiZ1LZeWBE7FtZpun5h4F8DwwMV0xMbHVEfDkignTD8iJJu4+z7O8CP4+IiyNZAfwj\n6QvaiG9ExG0R8SxwKalgAHia9GZ9hSRFxD0RMdxiHi8h30gpNdl9Z05rxTeBN+cavveQbmKr/gC4\nOt84EhH/RCos3p6ff7vya86/kAqK366s/yvg0xGxKSK+TWqStv84eQng9Ij4VUSsJDX9avorVT4H\nRwB/GhG/jIhHSF+u31lZbM02zt0m4EBJO0bEcETcvY1jVK1ouJRUc/q8/PxdjD7WAh5W+lXqsfx/\n/3xefh/4y5zfn+Q8jTgC+HFEfCsino2Ic0lfCEb8MbAkIu7N750zgHmSXrKNfI/4Uc7HBkmPkSo/\nRhwJ3Jv7XT8bEcuAnwLv2MYxXpDXPRE4KyJ+BBARP4uIat/4c/KdgvlnAAAgAElEQVSxfZz0YVZ9\nr78IeGl+X3xvTH7b0mzOrEUu413GT6aM39Y2Hpb0KPD3wCkR0ai8viQi/j2XkTez5X0xnheQWryk\njUvvyJ8pT2rL4J3HAVdF+kVtE/A/SV0/3tBke8cCn4nU6uIB0q+wZr3uNODDlYpSaK0cHnEscGFE\n/DQifkmqoBtrvDJ7xBkR8URErGV0GXQC8HcRsSZXKi8GFmhL17kATsvl10bSZ8Dzgf1yvm+PiKda\nPA5nAL8r6YAmr010z/Qr4G9yGbEs5+FzEfGLiLiL1IWiWg7fFhHfyMv/HfAc4PXAa4EXRMRncnm/\nGvgSW+4JAW6JiCsB8vF+Ac1/6X+Q9B10twniaHb+YTDfAwPBFRMT23xjEBEjtVrPG2fZvYHXj/kS\neALpF/Kttkf69fx5eds3k2rZvgAMS/rflRujiXwTOCDXeB4GPB4RP2xlxXyRXg38BbBbRNzSJKbj\nxsT0RtIXS5Sag92Sm1I9RrqRfEFl/Ufzhb5VzOOo3qhva9m9gV8DHqzk63+P2XfTc5cLj+OBD+b1\nr5Q03o30KJF+vfwu8P/lXwWPIBVimxcBnh8Ru0XErPz/HtKvWdsDayvLrqk8fjGpFUFVddm9gXNG\nzgPpl9Yg1bpO5KCcj90i/SJ65pj9rhmz/Jq83fGO8Uizs5eQapbHM965/Gxe73qlpuGnbLWmWfe4\njHcZv1kLZfy4q5LK/udHxCuj0t0iazXuEY+Sz0HO15W5/P5T0q+fMKb8zhU099P8c+HFjP5MmfYA\nq2adFulHnKtIX/hGtFIOjxh7b3U/W38BblpmV4y9b3txZdtrxry2w5h8VNe9GLgOWKbUpeAMtTju\nQK6Y/Tzw6VaWH+PRXDbAll/nH6q8/p+Mjnnz8crrrSPFujcwZ8xxX0xq+brVutkjVMqxihcBzwKP\nbSvj45x/GMD3wKBwxcT0jG0KdD/QqH4JjNQ89MMtbSzi8xHxGlIT0P1p0nypyT7JtXBfJ/2i1uqv\nO1WXkPqzNlvvfuDiMTHtHBFnKY0ZcDlwFvDCfNP0bTrzi3ezY/1LRlcC7BoRr26y7tYbi7ghIg4j\nNXG7h/QLV6suJh3rY0l958bWBjeL/2HgGdKX+RHVMSIeHPMawJ6Vx/cDfzzmPDwvUl/miWzrfDxA\natpbtRfpg2iiY3w/Y8bJaEVEPBURH4uI/0Jq9vdRSb8z8vJkt2fWQS7jXcY3K+PH087j8k+k5sPb\n8gDpBr3qJYy+ER7xIKM/U1oZo8isF5wO/CFbKtzuo/VyuNn7frL3GdV7s71J1x1sff3tTfpFvFoJ\nuXlfuZXBpyPilaRWTe8gtWJr1f8EfofUJazqF8BzK89nT2KbzWyON3ff2JMU6/3Az8Yc95kR8Y7K\numOP7Y00b8VwPKl1xS9byM/pjD7/MLnP4pLeA8VzxcT0DJP6FI24CthP0ruUBsz6NUmvaeWXmrzc\nIblv6H+SbsiebbLoMPB8bT0YzCWkPvzvYJI3rRExMsp3swG5/oHUrP8wSdspDaD1ZkkvJv1qMwN4\nJCKelXQE6de8qdrWTd0wMDcXkkTEelKT4s9J2lnJy9TCPOySdlcaMOy5pALkKZofa0i1qGOnkvsG\nqZ/ZSWzdLFrN4si/KP4f4HRJv6406N17K4tcDbwq52t7SR9mdI3r/wY+oS2D5c2U9N8mirUF1wD7\nSlqQ93s8cACpefBEx/hLwMckzc95+i9qoWuJpCMljVRo/Dupwmakr/zYa8qsTi7jXca3OoVpuytr\n/g6YpTSQ3MsAJO3M6CbGl5G6nfxOfj9+jPS+GtsqZmTZxZJ2VRpX5ENtzq9ZR0TEv5HGPDgpJ10N\n7N9iOXwZ8D6lgRKfS2o5Nll/nq+bl+Q8LMvpXwX+VNJcpdZvnwGWVVqQjSoTJA1JepVSM/+nSGXT\neOXSViLiCVLlxMfHvHQ7cEIuv99GGu9gOg5WGiBze1ILrV8CtwI/AP5daSDJHfM94yslvWYb2/ok\n8AalgYtnSXqe0oCZ72oSR1NNzj9M7rO4r98D+bw+h9SCcHulATSbjSNUBFdMNLetmrTqa+cAxyo1\ncT07Uj+hw0j9rR7If2eQ+mdNZBfSgDQbgJ+Tmj99dqudp24BXwV+ptR8aXZO/17O249idD//lkTE\nzZHGAhibvhY4mjRA4cOkZkofA7bL8Z4EfF2pe8EC4FsT7WoSr1Wff510gT8qaaQJ83tJN813kY7b\n19l2TfHI9rYj/Xq4jnSc30Rq8tvM6cDF+Vj/N9jcNPr/kAZ1/D9N9jHSD3hkVP2R6Y7+hNTH/EHS\nAHtf3rxSxKOkWuXP5jy9nNTPe2N+/Zuk99IypdGOVwKbR6BvIebmL0ZsIPXV+1je78eAI3M6pJrc\npsc40ijBnwG+IulJ0s38SH/Bbe13X+BGpZGYvwd8ISL+Ob+2BPjLfLw/2kJ8ZlPhMn5Lusv4yZXx\nE+27ldcm/LUufya8nvSl4Lu5jP0RqYnxB/My95Ju8D9POndHAu+IiGea7OdTpOPxc1KFz9fJny+t\n5smsi8a+Hz9FahUQuVx6Ky2UwxFxLWk8lZuBe9lSabdx7LLbyMe3gNtI19+VbLl3+zKpkvifSd1T\nf8HoL89jY5hNaoH2BGnWnpuZuJJ57DbOJf2YU03/CKn16WOksQ+2OWhuk22Off4tUouGx0hjEP1e\n/qX/WdL94jxSOfIQ6TOt6awZABHxr6RBn+cBq0nn6veAw8a0+J0oT5vPf95uy5/FBbwH3k36MeML\npGP5CybXArCvKGLizyJJJ7NlJOwvRsS5SqP2f43UbGU1cFyuzUPSYtKMA88AJ0fE9Tl9PrAU2BG4\nJiI+ktNnkH6VOJh0E3F8RNzXphgHhqQbga9ExJcnXNimRdJfkAav6UgTrPyr4VrghPxrp9k2SdqT\nVI7uQaqB//uI+F+STiM1gxzpU/qJ/EHtsrrPuIzvnk6X8XWT9N9J1+/vTLiwtZXS2CVfIk0n+yyp\nDL4X31N3nNKsDXcCz4nRY+PYgPB7oLdN2GJC0itJo++/hlTj9btKzbBPBW6MiP2Bm8gDkyg1NT+O\n1Bz8CNL0LSNNWc4HToyI/UhNcA7P6ScCGyJNE3M2qT+rTUJuSnUQ6YPNOkjSbqT3bFtrLJWaUs/M\nTbb+R05uZQwJM0g3rR/NfRd/kzSS9cjUWX8XEfPz30ilxAG4rO4bLuO7p1NlfJ0kzZb0BiX7k6Zt\nbrU1iLXXOaSKhANIsyH8FN9Td0zuljAj/6B6JnCFv5AOFr8H+kcrXTkOAL4fERsjTR3zz6RpD49i\ny3SHF7FlkKajSP1rnok0lcwq4JDcHHXniFiel7u4ss7RlW1dTpob11okaSlwA/CRiPiPSvr5le4E\n1a4F59WW2T4n6QOkgZeuiYjvtnnzv0lqCvYQqUnu0ZEGvdtWfn5rzDnefJ7bnDfrcRGxPiLuyI+f\nAu5my2BRzfq/H43L6r7gMr57xivjJZ0wTll75zT21c3zNwP4/4EnSQPSfYP0xda6SGnsmN+OiAsB\ncvn7BKPLVt9Tt9cfk+6rVpH69C+qNzujjXcPJ+mNdeetIH4P9IlWBs/4MfDXuZZpI2lu8x8Ce0Se\ngz0i1mvL3OFzGD3w0rqc9gyjR4pey5ab5jnkqVwiYpOkxyXtVunnbtsQEQvHSf8g4/ertSmIiC+R\nmmB2YtufJA0UNJl1vksat8JsM0lzSS3cvk/qk/hhSe8mld1/lm+EXVb3CZfx3TNeGR8RXwG+0uZ9\nde385ab8B3ZjX7ZNLwUekXQhqbXED0ljBPieukMi4oi687AtEeF7uA7ze6B/TNhiIiJ+Smr2cgNp\nBP/b2TKC/qhF25ivTkxFZmZWPKWRoS8n9UV+CjgPeFlEzCPNQPC37dxdG7dlZla6HUgzvnwhIuYD\n/0HqxjHpAVInweW0mfWFlqYbyU3OLgSQ9BlSTeywpD0iYjg3KRsZWG0do+d73TOnjZdeXecBpelp\ndmlWsyvJo0abWUdERN/fvClNIXU5cElEfAsgIh6uLPJF0ojS4LLazPpQn5fVa4H7I2Jk5pl/JFVM\n+J7azIox1XK6pYoJSS+MiIcl7UWa5uX1pOZoC0mtKd7LlinErgAulfQ5UnOyfYAfRERIekLSIcBy\n0jSE51bWeS+p2fGxpIF/mmplFpF+tXDhQpYuXVp3Njqm5PhKjg3Kj2/LWGJ978vAXRFxzkiCpNkR\nsT4//X1S9zxwWT1lJV8PJccGjq/f9XtZnSse7pe0X57u9S2kaQN/Qg331MuXLx/vpbbYdddd2Wef\nfTq6j/GUfi04vv5WcnzTKadbqpgA/jGPUv00sCginpR0JnCZpPeT5j0/DiAi7pJ0GWne8ZHlR+5Q\nP8ToqY2uzekXAJdIWgU8SpqX1szMWpQHSfoD4E5Jt5OaAn8COEHSPNK0dKtJg0C5rDYzq8dJpMqG\nXwN+BrwP2J4a7qkPPfS/tzm00X7xi7sYHl7HrFmzOrofMytDq1053tQkbQNw6DjLLwGWNEm/jSaD\nL+WZB45rJS8lmzt3bt1Z6KiS4ys5Nig/vhJExPdIN7djXdskbWQdl9VTUPL1UHJs4PisfhGxAnht\nk5e6fk/9xBM/nHihadhxx915+umnO7qP8ZR+LTi+/lZ6fFPVynSh1iVDQ0N1Z6GjSo6v5Nig/PjM\nJqPk66Hk2MDxmQ2K0q8Fx9ffSo9vqlwxYWZmZmZmZma1ccWEmZmZmZmZmdVG/TRyuqTop/yaWX+Q\n1O9T0PUUl9Vm1gkuq9snTRfa2XJ6xx13Z82aH7P77rt3dD9m1jumU067xYSZmZmZmZmZ1cYVEz2k\n0WjUnYWOKjm+kmOD8uMzm4ySr4eSYwPHZzYoSr8WHF9/Kz2+qWppulAzMzOr1+zZcxkeXtO1/e2x\nx96sX7+6a/szMzOzweUxJsxs4Lnfcnu5rO4MSXS6T/iYPeLzaL3EZXX7eIwJM+sEjzFhZmZmZmZm\nZn3JFRM9pPT+RiXHV3JsUH58ZpNR9vXQqDsDHVX2uSs/PrNWlX4tOL7+Vnp8U+WKCTMzMzMzMzOr\nTUtjTEhaDLwL2ATcCbwP2An4GrA3sBo4LiKeqCz/fuAZ4OSIuD6nzweWAjsC10TER3L6DOBi4GDg\nEeD4iLivST5G9Vt++umnefbZZ6cQ9uRJYsaMGV3Zl5l1l/stt5fHmOgMjzFhg85ldft4jAkz64Tp\nlNMTzsohaW/gD4GXR8SvJH0NeCfwCuDGiDhL0inAYuBUSa8AjgMOAPYEbpS0b75LPR84MSKWS7pG\n0uERcR1wIrAhIvaVdDxwFrBgW/m677772HffA9i06ZmpxD0Fwfe/fwsHH3xwl/ZnZmZmZmZmVr5W\nunI8CfwK2EnSDsCvA+uAo4GL8jIXAcfkx0cByyLimYhYDawCDpE0G9g5Ipbn5S6urFPd1uXAWybK\n1GOPPcaOO+7Dpk0bu/L3vOe9lfXr17dwuKau9P5GJcdXcmxQfnxmk1H29dCoOwMdVfa5Kz8+s1aV\nfi04vv5WenxTNWHFREQ8BvwtcB+pQuKJiLgR2CMihvMy64GRdlpzgPsrm1iX0+YAayvpa3PaqHUi\nYhPwuKTdphiTmZmZmZmZmfWJCSsmJL0M+FPSWBIvJrWc+AO27pjWzo5qA9l/cGhoqO4sdFTJ8ZUc\nG5Qfn9lkVK+H2bPnIqkrf12Krkv7qUfpZVnp8Zm1qvRrwfH1t9Ljm6oJx5gAXgN8LyI2AEj6BvAG\nYFjSHhExnLtpPJSXXwe8pLL+njltvPTqOg9I2h7YZWR/Yy1cuJC5c+eyfv16Nm58mNTsdCi/2sj/\nO/N85cqV7LTTTpvfTCPNcPzcz/28v543Gg2WLl0KwNy5czGbquHhNXRvQMqBrLM3MzOzATDhrByS\nfgP4B+C1wEbgQmA5sBdpwMoz8+CXsyJiZPDLS4HXkbpo3ADsGxEh6VbgpLz+1cC5EXGtpEXAqyJi\nkaQFwDERsdXgl9WR3lesWMGb3vQennxyRRsOw8RmzjySSy9dxJFHHtmxfTQajaJr0EqOr+TYoPz4\nPNJ7e5U+K0f1eujuTBnd2FeDLZXz5c3KUXpZVnp8Lqvbp/RZOUq/Fhxffys5vo7OyhERKyRdDNxG\nmi70duDvgZ2ByyS9H1hDmomDiLhL0mXAXcDTwKLKHeqHGD1d6LU5/QLgEkmrgEeZYEYOMzMzMzMz\nMyvDhC0meknpLSbMrB7+Fa69Sm8xUVVei4nR+xuU82j9wWV1+5TeYsLM6jGdcrqV6ULNzMzMzMzM\nzDrCFRM9ZGRwvlKVHF/JsUH58ZlNRtnXQ6PuDHRU2eeu/PhKIGm1pBWSbpf0g5w2S9L1ku6RdJ2k\nmZXlF0taJeluSYdV0udLWinpXklnV9JnSFqW17lF0l7djbA3lH4tOL7+Vnp8U+WKCTMzMzOz7ngW\nGIqIgyLikJx2KnBjROwP3AQsBsgDyh8HHAAcAZynLXMHnw+cGBH7AftJOjynn0ganH5f4GzgrG4E\nZWY2XR5jokUeY8KsXO633F4eY6Jje+vivtL+BuU8Wn8ooayW9HPgNRHxaCXtp8CbI2JY0mygEREv\nl3QqEBFxZl7u28DppEHnb4qIV+T0BXn9D0q6FjgtIr4vaXtgfUS8sEk+PMaEmbWdx5gwMzMzM+t9\nAdwgabmkD+S0PSJiGCAi1gMj3+TnAPdX1l2X0+YAayvpa3PaqHUiYhPwuKTdOhGImVk7uWKih5Te\n36jk+EqODcqPz2wyyr4eGnVnoKPKPnflx1eIN0bEfODtwIck/TZbN11oZ1OGvm5hMlWlXwuOr7+V\nHt9U7VB3BszMzMzMBkFEPJj/Pyzpm8AhwLCkPSpdOR7Ki68DXlJZfc+cNl56dZ0HcleOXSJiQ/Pc\nLATm5se7AvOAofy8kf9P/fmmTb/avKeRL2JDQ0NdeX7HHXd0dX+Oz/ENanyNRoOlS5cCMHfuXKbD\nY0y0yGNMmJWrkH7LewIXA3uQBlf7YkScK2kW8DVgb2A1cFxEPJHXWQy8H3gGODkirs/p84GlwI7A\nNRHxkZw+I+/jYOAR4PiIuK9JXjzGRGf21sV9pf0Nynm0/tDvZbWk5wLbRcRTknYCrgc+CbyFNGDl\nmZJOAWZFxKl58MtLgdeRumjcAOwbESHpVuAkYDlwNXBuRFwraRHwqohYlMeeOCYiFjTJi8eYMLO2\n8xgTZmb2DPDRiHgl8JukJsIvx6O9m5n1ij2A70q6HbgVuDJXCJ8JvFXSPaRKijMAIuIu4DLgLuAa\nYFGl1vdDwAXAvcCqiLg2p18AvEDSKuAjpM8AM7Oe54qJHlJ6f6OS4ys5Nig/vhJExPqIuCM/fgq4\nm9S892jgorzYRcAx+fFRwLKIeCYiVgOrgENyM+KdI2J5Xu7iyjrVbV1OuoEeOGVfD426M9BRZZ+7\n8uPrdxHx84iYl6cKPTAiRiogNkTEoRGxf0QcFhGPV9ZZEhH7RMQBI63acvpteRv7RsTJlfSNEXFc\nTn99Lt8HTunXguPrb6XHN1WumDAzK4ykuaTOwrfi0d7NzMzMrMdNWDEhaT9Jt0v6Uf7/hKSTJM2S\ndL2keyRdJ2lmZZ3FklZJulvSYZX0+ZJWSrpX0tmV9BmSluV1bpG0V/tD7X0jA4qUquT4So4Nyo+v\nJJKeR2rNcHJuOeHR3tus7OthqO4MdFTZ5678+MxaVfq14Pj6W+nxTdWEs3JExL3AQQCStiP9evYN\ntvRbPisP1LMYGBmoZ6Tf8p7AjZL2zX3iRvotL5d0jaTDI+I6Kv2WJR1P6re81UA9ZmY2Pkk7kCol\nLomIb+XkWkZ7X7hw4ebRmXfddVfmzZvXE6NHd+J5O0avb+05E7zemf3VfXz9fHCfN9o42ruZmfW4\niGj5DzgM+Jf8+KekJsIAs4Gf5senAqdU1vk2aTTh2cBdlfQFwPn58bXA6/Lj7YGHx9l/jLjjjjti\nl11eHRBd+Zs58+1x1VVXRSfdfPPNHd1+3UqOr+TYIsqPL5ctkyoPe/GPNB7E341JO3OkTAZOAc7I\nj18B3A7MAF4K/CtbZmq6lTSFnUgDrr0tpy8CzostZfiycfLRhrPSu6rXA9C1z6Hu7OvmUfsrTell\nWenxlVJW98JfN8qTHXd8YQwPD0/yLLdH6deC4+tvJcc3nXJ6whYTYxwPfCU/HtVvWVK13/ItlXVG\n+i0/Q4v9liU9Lmm3GHfeZTMzq5L0RuAPgDvziO8BfIJUMXGZpPcDa0gt2oiIuySNjPb+NFuP9r6U\nLdOFVkd7vySP9v4obtlmZmZmZm2gLfehEywo/RrwAHBARDwiaUNE7FZ5/dGIeL6k/wXcEhFfyelf\nIv3itgZYEhGH5fTfAj4eEUdJuhM4PCIeyK/9K3DI2IoJSZvvm1esWMGb3vQennxyxbQOQKtmzjyS\nSy9dxJFHHtmV/ZlZ90xnzmXbWrWsLl2aYbVbsXZzX2l/g3IerT+4rG4fSdHp8mTHHXdnzZofs/vu\nu0+8sJkVYTrl9GRaTBwB3BYRj+TntfZbXr9+PRs3PkzqCzuUX23k/515vnLlSnbaaaee6Hfp537u\n51N/7n7LZmZmZma9YzItJr4KXBsRF+XnZ5IGrDwzD345KyJGBr+8lDSuxBzgBmDfiAhJtwInAcuB\nq4FzI+JaSYuAV0XEIkkLgGMiYqsmwqW3mGg0Gpu/RJWo5PhKjg3Kj8+/wrVX6S0mqtdDeS0mGmyp\nnC+vxUTpZVnp8bmsbp/SW0yUfi04vv5WcnwdbzEh6bnAocAfVZLdb9nMzMzMzMzMpqXlFhO9oPQW\nE2ZWD/8K116lt5ioKq/FxOj9Dcp5tP7gsrp9Sm8xYWb1mE45vV27M2NmZmZmZmZm1ipXTPSQkcH5\nSlVyfCXHBuXHZzYZZV8Pjboz0FFln7vy4zNrVenXguPrb6XHN1WumDAzMzMzMzOz2niMiRZ5jAmz\ncrnfcnt5jImO7a2L+0r7G5TzaP3BZXX7eIwJM+sEjzFhZmZmZmZmZn3JFRM9pPT+RiXHV3JsUH58\nZpNR9vXQqDsDHVX2uSs/PrNWlX4tOL7+Vnp8U+WKCTMzMzMzMzOrjceYaJHHmDArl/stt5fHmOjY\n3rq4r7S/QTmP1h9cVrePx5gws07wGBNmZmZmZmZm1pdcMdFDSu9vVHJ8JccG5cdnNhllXw+NujPQ\nUWWfu/LjM2tV6deC4+tvpcc3Va6YMDMzMzMzM7PaeIyJFnmMCbNyud9ye3mMiY7trYv7SvsblPNo\n/cFldft4jAkz64SOjzEhaaakr0u6W9JPJL1O0ixJ10u6R9J1kmZWll8saVVe/rBK+nxJKyXdK+ns\nSvoMScvyOrdI2msqwZiZmZmZ9TJJ20n6kaQr8nPfU5vZwGu1K8c5wDURcQDwG8BPgVOBGyNif+Am\nYDGApFcAxwEHAEcA5yn9pARwPnBiROwH7Cfp8Jx+IrAhIvYFzgbOmnZkfaj0/kYlx1dybFB+fGaT\nUfb10Kg7Ax1V9rkrP76CnAzcVXnue+o2K/1acHz9rfT4pmrCiglJuwC/HREXAkTEMxHxBHA0cFFe\n7CLgmPz4KGBZXm41sAo4RNJsYOeIWJ6Xu7iyTnVblwNvmVZUZmZmZmY9RtKewNuBL1WSfU9tZgOv\nlRYTLwUekXRhbnb295KeC+wREcMAEbEeGOlANge4v7L+upw2B1hbSV+b00atExGbgMcl7TbFmPrW\n0NBQ3VnoqJLjKzk2KD8+s8ko+3oYqjsDHVX2uSs/vkJ8DvhzRg/w4HvqNiv9WnB8/a30+KZqhxaX\nmQ98KCJ+KOlzpCZnY0fMaecIOuMOmLFw4ULmzp3L+vXr2bjxYVKz06H8aiP/78zzlStXstNOO21+\nM400w/FzP/fz/nreaDRYunQpAHPnzsXMzKzTJB0JDEfEHZKGtrFoV+6pYSEwNz/eFZhHO++hN236\n1eY99dI9gJ/7uZ+373lb76kjYpt/wB7AzyrPfwu4CribVMMLMBu4Oz8+FTilsvy1wOuqy+T0BcD5\n1WXy4+2Bh8bJS4y44447YpddXh0QXfmbOfPtcdVVV0Un3XzzzR3dft1Kjq/k2CLKjy+XLROWh/5r\n7a9aVpeoej0AXfsc6s6+bh61v9KUXpaVHl+/l9XA3wD3AT8DHgSeAi6p65660+XJjju+MIaHh9ty\n7ier9GvB8fW3kuObTjm9XQsVF8PA/ZL2y0lvAX4CXEGqagV4L/Ct/PgKYEEeFfilwD7ADyI1TXtC\n0iF54J73jFnnvfnxsaSBf8zMzMzMihARn4iIvSLiZaTKhJsi4t3Alfie2swGnFLFxgQLSb9BGqTn\n10i1vO8j1cJeBrwEWAMcFxGP5+UXk0YFfho4OSKuz+kHA0uBHUmzfJyc059DqjE+CHgUWBBpkJ+x\n+YiR/K5YsYI3vek9PPnkiimGPjkzZx7JpZcu4sgjj+zK/syse6Yz57JtrVpWly59J+hWrN3cV9rf\noJxH6w8lldWS3gz8WUQclceA6Po9dafLkx133J01a37M7rvvPvHCZlaE6ZTTrYwxQUSsAF7b5KVD\nx1l+CbCkSfptwIFN0jeSpkMyMzMzMytaRHwH+E5+vAHfU5vZgJuwK4d1z8hAIqUqOb6SY4Py4zOb\njLKvh0bdGeioss9d+fGZtar0a8Hx9bfS45sqV0yYmZmZmZmZWW1aGmOiV3iMCTPrhJL6LfcCjzHR\nsb11cV9pf4NyHq0/uKxuH48xYWadMJ1y2i0mzMwKIOkCScOSVlbSTpO0VtKP8t/bKq8tlrRK0t2S\nDqukz5e0UtK9ks6upM+QtCyvc4ukvboXnZmZmZmVzBUTPaT0/kYlx1dybFB+fIW4EDi8SfrfRcT8\n/HctgKQDSIOjHQAcAZyXp5wDOB84MSL2A/aTNLLNE4ENEbEvcDZwVgdj6WllXw+NujPQUWWfu/Lj\nM2tV6deC4+tvpcc3Va6YMDMrQER8F3isyUvNmtMdDSyLiFLDjlgAACAASURBVGfyNHKrgEMkzQZ2\njojlebmLgWMq61yUH18OvKVdeTczMzOzweaKiR4yNDRUdxY6quT4So4Nyo+vcB+WdIekL0mamdPm\nAPdXllmX0+YAayvpa3PaqHUiYhPwuKTdOprzHlX29TBUdwY6quxzV358Zq0q/VpwfP2t9Pimaoe6\nM2BmZh1zHvCpiAhJfw38LfCBNm17mwMbLVy4kLlz5wKw6667Mm/evM0fxCNNGEt5vqX7Q6efM8Hr\nndlf3cfXzwf3eaPRYOnSpQCbyxMzMyuTZ+VoUTdm5Wg0GkXXoJUcX8mxQfnxlTLSu6S9gSsj4tXb\nek3SqUBExJn5tWuB04A1wM0RcUBOXwC8OSI+OLJMRHxf0vbAgxHRdKj10mflqF4P5c3K0WBLBUV5\ns3KUXpaVHl8pZXUvKH1WjtKvBcfX30qOz7NymJkZpG+umz8M8pgRI34f+HF+fAWwIM+08VJgH+AH\nEbEeeELSIXkwzPcA36qs8978+Fjgps6FYWZmZmaDxC0mWtSNFhNmVo8SfoWT9BXST93PB4ZJLSB+\nB5gHPAusBv44Iobz8otJM208DZwcEdfn9IOBpcCOwDURcXJOfw5wCXAQ8CiwIA+c2SwvRbeYqCqv\nxcTo/Q3KebT+UEJZ3StKbzFhZvWYTjnd0hgTklYDT5Bubp+OiEMkzQK+BuxNuuE9LiKeyMsvBt4P\nPMPoG975jL7h/UhOn0Ea/f1g4BHg+Ii4byoBmZkNoog4oUnyhdtYfgmwpEn6bcCBTdI3kqYYNTMz\nMzNrq1a7cjwLDEXEQRFxSE47FbgxIvYnNeldDCDpFaSb1wOAI4DzcpNggPOBEyNiP2A/SYfn9BOB\nDRGxL3A2cNY04+pLIwM+lark+EqODcqPz2wyyr4eGnVnoKPKPnflx2fWqtKvBcfX30qPb6parZhQ\nk2Wrc9pfxJa57o8ClkXEM7mZ7yrgkNzXeeeIWJ6Xu7iyTnVblwNvmUwQZmZmZmZmZtafWq2YCOAG\nScsljUw1t8dIX+U8YNpIB7LNc91n63LaHGBtJX1tThu1TkRsAh6XtNskY+l7pY7OOqLk+EqODcqP\nz2wyyr4ehurOQEeVfe7Kj8+sVaVfC46vv5Ue31S1NMYE8MaIeFDSC4HrJd3D1iPmtHMEHQ9sZGZm\nZmZmZjYAWmoxEREP5v8PA98EDgGGJe0Bm6ekeygvvg54SWX1PXPaeOmj1pG0PbBLRGxolpeFCxdy\n+umnc/7557Nx48OM7g/b6OjzlStXjuoT1Gg02vr87LPP7uj2635ecnwjj3slP45v4ngWLly4uTwx\nm4zq+6o8jboz0FFln7vy4zNrVenXguPrb6XHN1UTThcq6bnAdhHxlKSdgOuBT5LGgdgQEWdKOgWY\nFRGn5sEvLwVeR+qicQOwb0SEpFuBk4DlwNXAuRFxraRFwKsiYpGkBcAxEbGgSV6Kni600WgU3bSn\n5PhKjg3Kj89T0LVX6dOFVq+H8qYLbbClO0d504WWXpaVHp/L6vYpfbrQ0q8Fx9ffSo5vOuV0KxUT\nLwW+QSq9dgAujYgz8hgQl5FaOqwhTRf6eF5nMWmmjacZPV3owYyeLvTknP4c4BLgIOBRYEEeOHNs\nXoqumDCzevhmt71Kr5ioKq9iYvT+BuU8Wn9wWd0+pVdMmFk9plNOTzjGRET8HJjXJH0DcOg46ywB\nljRJvw04sEn6RtIUo2ZmZmZmZmY2QFqdlcO6oPT+RiXHV3JsUH58ZpNR9vXQqDx+DpK68jd79tzu\nRFf0uSs/PrNWlX4tOL7+Vnp8U+WKCTMzM2tiI6mpd+f/hofXdCsos9pIeo6k70u6XdJPJP1NTp8l\n6XpJ90i6TtLMyjqLJa2SdLekwyrp8yWtlHSvpLMr6TMkLcvr3CJpr+5GaWY2NROOMdFLPMaEmXWC\n+y23l8eY6Njeurivbu/P41nYxEooqyU9NyJ+kWeh+x7wZ8BRwKMRcdY4A8q/ljSb3Y1sGVD++8CH\nI2K5pGuAcyLiOkkfBA7MA8ofD/zeeAPKe4wJM2u36ZTTbjFhZmZmZtYFEfGL/PA5pPvwx4CjgYty\n+kXAMfnxUcCyiHgmDwq/CjhE0mxg54hYnpe7uLJOdVuXk2bRMzPrea6Y6CGl9zcqOb6SY4Py4zOb\njLKvh0bdGeioss9d+fGVQNJ2km4H1gONiLgL2CMihgEiYj0w0sRgDnB/ZfV1OW0OsLaSvjanjVon\nIjYBj+eZ9AZK6deC4+tvpcc3VRPOymFmZmZmZtMXEc8CB0naBbhO0hBb96loZx+Lvu76YmaDwxUT\nPWRoaKjuLHRUyfGVHBuUH5/ZZJR9PQzVnYGOKvvclR9fSSLiyTw2xGuAYUl7RMRw7qbxUF5sHfCS\nymp75rTx0qvrPJDHsdglIjY0z8VCYG5+vCswjy1lQCP/n/rzTZt+tXlPI78Qj7xHO/18JK1b+3N8\njm9Q42s0GixduhSAuXPnMh0e/LJFHvzSrFwlDKjWSzz4Zcf21sV9dXt/HvzSJtbvZbWkFwBPR8QT\nkn4duA74JHAYsCEizhxn8MvXkbpo3MCWwS9vBU4ClgNXA+dGxLWSFgGvyoNfLgCO8eCXZtYtHvyy\nEKX3Nyo5vpJjg/LjM5uMsq+HRt0Z6Kiyz1358RXgRcDNeYyJW4ErIuKfgDOBt0q6hzRY5RkAefyJ\ny4C7gGuARZVa3w8BFwD3Aqsi4tqcfgHwAkmrgI8Ap3Ylsh5T+rXg+Ppb6fFNlbtymJmZmZl1WETc\nCcxvkr4BOHScdZYAS5qk3wYc2CR9I3DctDNrZtZl7srRInflMCtXvzcP7jXuytGxvXVxX93en7ty\n2MRcVrePu3KYWSd0pStHnt7oR5KuyM9nSbpe0j2SrpM0s7LsYkmrJN0t6bBK+nxJKyXdK+nsSvoM\nScvyOrdI2msqwZiZmZmZmZlZf5nMGBMnk/q4jTgVuDEi9gduAhYD5IF6jgMOAI4AzlP6SQngfODE\niNgP2E/S4Tn9RNKgP/sCZwNnTTGevlZ6f6OS4ys5Nig/PrPJKPt6aNSdgY4q+9yVH59Zq0q/Fhxf\nfys9vqlqqWJC0p7A24EvVZKPBi7Kjy8CjsmPjwKWRcQzEbEaWAUckqc/2jkiluflLq6sU93W5aSB\nf8zMzMzMzMyscK22mPgc8OeM7oy2R0QMA0TEemCkA9kc4P7Kcuty2hxgbSV9bU4btU5EbAIel7Rb\n62GUofT5x0uOr+TYoPz4zCaj7OthqO4MdFTZ5678+MxaVfq14Pj6W+nxTdWEFROSjgSGI+IO0khY\n42nnCDoe2MjMzMzMzMxsALTSYuKNwFGSfgZ8Ffivki4B1kvaAyB303goL78OeEll/T1z2njpo9aR\ntD2wS546aSsLFy7k9NNP5/zzz2fjxocZ3R+20dHnK1euHNUnqNFotPX52Wef3dHt1/285PhGHvdK\nfhzfxPEsXLhwc3liNhnV91V5GnVnoKPKPnflx2fWqtKvBcfX30qPb6omNV2opDcDfxYRR0k6C3g0\nIs6UdAowKyJOzYNfXgq8jtRF4wZg34gISbcCJwHLgauBcyPiWkmLgFdFxCJJC4BjImJBk/0XPV1o\no9EoumlPyfGVHBuUH5+noGuv0qcLrV4P5U0X2mBLd47ypgstvSwrPT6X1e1T+nShpV8Ljq+/lRzf\ndMrp6VRM7AZcRmrpsAY4LiIez8stJs208TRwckRcn9MPBpYCOwLXRMTJOf05wCXAQcCjwII8cObY\n/RddMWFm9fDNbnuVXjFRVV7FRF37607FhPU3l9XtU3rFhJnVYzrl9A6TWTgivgN8Jz/eABw6znJL\ngCVN0m8DDmySvpE0xaiZmU2BpAuA3yWNCfTqnDYL+BqwN7CaVIH8RH5tMfB+4BlGVyDPZ3QF8kdy\n+gzSbEoHA48Ax0fEfd2Kz8zMzMzK1eqsHNYFpfc3Kjm+kmOD8uMrxIXA4WPSTgVujIj9gZuAxQC5\ny91xwAHAEcB5Sj/9A5wPnBgR+wH7SRrZ5onAhojYFzgbOKuTwfSysq+HRt0Z6Kiyz1358Zm1qvRr\nwfH1t9LjmypXTJiZFSAivgs8Nib5aOCi/Pgi4Jj8+ChgWUQ8k7vNrQL+X3t3H2tXdd55/PsDA04A\nm5eCUUzgJgLzksAYmgIdOp2bgfISNICqFrlUIbeho9GQDEwrTbAjVZB/BojmxY1a0KR1MVBSJtCq\noYSAw+CjKB1MGAbbTGzAmWBim9wLBVzERDbgeeaPva59/HJ99713v5y97u8jHXH2uvuc9Tzcsx8f\nL++11gVpIeOjI+K5dN79fa/pf69HgEsqT8LMzMzMZiUPTAyQXBdBGZdzfjnnBvnnl7ETI2IMICJG\ngfGJvguBLX3nbUttC4Gtfe1bU9ter4mIXcD2tNbQrJP39TDcdgC1yvt3l39+ZmXlfi04v27LPb/p\n8sCEmdnsUeVKZ16AzszMzMwqMaXFL61eOW8dA3nnl3NukH9+GRuTtCAixtI0jTdS+zaKHZXGnZza\nJmrvf83rkg4F5qVFkA9oZGSEoaEhAI455hgWL168+zM0Preyq8fLly/fK5896zLUfcwkP6/ieN++\n6u6v/zgd1fj765/XOyifJ+d38HxWrlwJsLuemJWR+/cW59dtuec3XVPaLrRtuW8XmvuHNOf8cs4N\n8s8vly3oJA0BfxcR56TjuygWrLxL0q3AsRGxNC1++SBwIcUUje8Dp0dESFoD3Aw8B3wX+EZEPCHp\nJuDTEXGTpCXAtRGxZII4st4utP96yG+70B57Bgzy2y4091qWe3651OpBkPt2oblfC86v23LObyZ1\n2gMTJTUxMGFm7cjhy66kb1H8jfJ4YAy4Dfhb4GGKOx1eo9gudHs6fxnFThsfsPd2ob/M3tuF3pLa\njwAeAM4D3gKWpIUzDxRL1gMT/fIbmGirv2YGJqzbcqjVgyL3gQkza8dM6rSncpiZZSAirp/gR5dO\ncP4dwB0HaH8eOOcA7Tspthg1MzMzM6uUF78cIP1zQ3OUc3455wb552c2FXlfD722A6hV3r+7/PMz\nKyv3a8H5dVvu+U2XBybMzMzMzMzMrDVeY6IkrzFhli/PW66W15iorbcG+2q6P68xYZNzra6O15gw\nszrMpE5PeseEpCMkPSvpBUk/lvQfUvuxklZJelnSk5Lm971mmaRNkjZKuqyv/XxJ6yW9Iml5X/vh\nkh5Kr3lG0inTScbMzMzMbBBJOlnS0+n79IuSbk7t/k5tZrPepAMTacGzz0bEecC5wL+QdDGwFHgq\nIs4AngaWAaRt6K4DzgKuBO5W8U9KAPcAN0bEImCRpMtT+40UW9qdDiwHvl5Vgl2S+3yjnPPLOTfI\nPz+zqcj7eui1HUCt8v7d5Z9fBj4E/jAiPgX8KvAlSWfi79SVy/1acH7dlnt+01VqjYmI+EV6ekR6\nzTvANcB9qf0+4Nr0/GrgoYj4MG0ltwm4QNJJwNER8Vw67/6+1/S/1yPAJdPKxszMzMxsAEXEaESs\nTc/fAzYCJ+Pv1GZm5QYmJB0i6QVgFOhFxAZgQUSMQVFogfEJZAuBLX0v35baFgJb+9q3pra9XhMR\nu4Dtko6bVkYdNjw83HYItco5v5xzg/zzM5uKvK+H4bYDqFXev7v888uJpCFgMbCGjL9Tf/rTn0FS\nrY+TThrar9/crwXn12255zddc8qcFBH/DzhP0jzgSUnD7L9iTpUr6HhhIzMzMzPLjqSjKO5muCUi\n3isWotxLNt+p33xzC3Uvsjk25r82mOWg1MDEuIh4V9LjwGeAMUkLImIs3VL2RjptG/DxvpednNom\nau9/zeuSDgXmRcTbB4phZGSEoaEhRkdH2bnzTYr5sMPpp73033qO169fz5FHHrl7lGt8flBVx8uX\nL2fx4sW1vX/bxznn1z9XbBDicX6T57Ny5UoAhoaGMJuKXq+X8b929Mj5rom8f3f555cDSXMoBiUe\niIjvpOZWvlPDCDCUnh9DcQPHcDrupf9O/3jXrvf7+pr5+x3seDZ953R+3T/OKb9Kv1NHxEEfwC8B\n89PzjwA/oJivdhdwa2q/FbgzPT8beAE4HPgE8BP2bEu6BriAYvT2ceCK1H4TcHd6voRiPt2BYolx\na9eujXnzzg2IRh7z538uHnvssajT6tWra33/tuWcX865ReSfX6otk9ZDP8o9+mt1jvqvB6CxP4ea\n6Wt1w/3t6avp312Ocs8vh1pNsR7Ef96nrZXv1HVf13PnntBQHdm/fuR+LTi/bss5v5nU6fHiNiFJ\n51AsoiOKNSkeiIj/mOarfZtiVPY14LqI2J5es4xiVeAPKG5TW5XafxlYCcwFHo+IW1L7EcADwHnA\nW8CSKBb52TeWGI933bp1/Pqv38C77647aPxVmT//Kh588CauuuqqRvozs+bMZM9l219/rc5dsUB+\nU7k22VfT/YnZ8pmx6et6rU672v0AeJHi4grgq8CPaOE7dd3X99y5J7Jjx5vUX0dcP8wGxUzq9KQD\nE4PEAxNmVoeuf9kdNB6YqK23Bvtquj//xcIm51pdHQ9MmFkdZlKnD6k6GJu+8fk6uco5v5xzg/zz\nM5uKvK+HXtsB1Crv313++ZmVlfu14Py6Lff8pssDE2ZmZmZmZmbWGk/lKMlTOczy5duDq+WpHLX1\n1mBfTffnW7Ftcq7V1fFUDjOrg6dymJmZmZmZmVkneWBigOQ+3yjn/HLODfLPz2wq8r4eem0HUKu8\nf3f552dWVu7XgvPrttzzm645bQdgZmZms90RaVpMMxYsOJXR0c2N9WdmZmYH5zUmSvIaE2b58rzl\nanmNidp6a7CvpvtrPrfZ8hnNiWt1dbzGhJnVwWtMmJmZmZmZmVkneWBigOQ+3yjn/HLODfLPz2wq\n8r4eem0HULNe2wHUKu/Ppll5uV8Lzq/bcs9vujwwYWZmZmZmZmat8RoTJXmNCbN8ed5ytbzGRG29\nNdhX0/15jQmbnGt1dbzGhJnVwWtMmJmZmZmZmVknTTowIelkSU9L+rGkFyXdnNqPlbRK0suSnpQ0\nv+81yyRtkrRR0mV97edLWi/pFUnL+9oPl/RQes0zkk6pOtEuyH2+Uc755Zwb5J+f2VTkfT302g6g\nZr22A6hV3p9Ns/JyvxacX7flnt90lblj4kPgDyPiU8CvAl+SdCawFHgqIs4AngaWAUg6G7gOOAu4\nErhbezYnvwe4MSIWAYskXZ7abwTejojTgeXA1yvJzszMzMzMzMwG2pTXmJD0t8CfpMc/j4gxSScB\nvYg4U9JSICLirnT+94DbgdeApyPi7NS+JL3+30h6ArgtIp6VdCgwGhEnHKBvrzFhZpXzvOVqeY2J\n2nprsK+m+/MaEzY51+rqeI0JM6tDY2tMSBoCFgNrgAURMQYQEaPAiem0hcCWvpdtS20Lga197VtT\n216viYhdwHZJx00lNjMzMzMzMzPrntIDE5KOAh4BbomI99h/+LPKocoJR1lGRka4/fbbueeee9i5\n8032ni/aq/V4/fr1e80J6vV6lR4vX7681vdv+zjn/MafD0o8zm/yfEZGRnbXk9xJ2ixpnaQXJP0o\ntVW2TtBs0/+5yk+v7QBq1ms7gFrl/dk0Ky/3a8H5dVvu+U1bREz6AOYAT1AMSoy3baS4awLgJGBj\ner4UuLXvvCeAC/vPSe1LgHv6z0nPDwXemCCOGLd27dqYN+/cgGjkMX/+5+Kxxx6LOq1evbrW929b\nzvnlnFtE/vml2lKqHnbxAfwUOHaftruAr6TntwJ3pudnAy+kuj8E/IQ90/6eBX4lPX8cuHyC/mb2\nCxlw/dcD0NifQ830tbrh/prua/Xu/nLkWu1H2UcT19zcuSc0dG2z32cl92vB+XVbzvnNpE6XvWPi\nL4ANEfHHfW2PAiPp+ReA7/S1L0k7bXwCOA34URTTPf5R0gVpMcwb9nnNF9Lz36ZYTHPWGR4ebjuE\nWuWcX865Qf75zQJi/zvkrgHuS8/vA65Nz68GHoqIDyNiM7AJuCCtJXR0RDyXzru/7zWzSt7Xw3Db\nAdRsuO0AapX3Z9OsvNyvBefXbbnnN11zJjtB0sXA7wIvSnoBCOCrFP/a9m1JX6RY2PI6gIjYIOnb\nwAbgA+CmNHoC8CVgJTAXeDwinkjtK4AHJG0C3qK4m8LMzKoRwPcl7QL+a0T8OfusEySpf52gZ/pe\nO75O0IdMvE7QwDjppCHGxl5rOwwzMzMzm4JJByYi4u8pplccyKUTvOYO4I4DtD8PnHOA9p2kgY3Z\nrNfrZT2ClnN+OecG+ec3C1wcET+XdAKwStLLUOs6QYyMjDA0NATAMcccw+LFi3d/hsbnVtZxXAxK\nrE5RDKf/9io+Xk6xDvQwxc0oVb//RMdM8vMqjvftq+7++o+b6G/fvur9PDZ93D9veRDiqSKflStX\nAuyuJ2Zl5P69xfl1W+75TdeUtwttU+7bheb+Ic05v5xzg/zzm01b0Em6DXgP+H1gOPZs+bw6Is46\nwJbPTwC3UdwZtzoizkrtu7d8PkAf0dafLc1s39ljz196c9tSs0e+ucGe/PLcXtC12srKfbvQ3K8F\n59dtOefX2HahVq9cP6Djcs4v59wg//xyJumjaVclJB0JXAa8SLXrBM0yw20HUKPhtgOo2XDbAdTK\ntXrwSVohaUzS+r62ynZJSrX7ofSaZySd0lx2gyP3a8H5dVvu+U2XBybMzPK2APhhWiNoDfB3EbGK\nYp2g30jTOi4B7oRinSBgfJ2gx9l/naAVwCvApr51gszMrJx7gcv3aVsKPBURZ1AsAL8MQNLZFFOd\nzwKuBO5OA8MA9wA3RsQiYJGk8fe8EXg7Ik6nmHf29TqTMTOrigcmBkjue9rmnF/OuUH++eUsIl6N\niMURcV5EnBMR4wMQb0fEpRFxRkRcFhHb+15zR0ScFhFnpUGM8fbn03ucHhG3tJHPYOi1HUCNem0H\nULNe2wHUyrV68EXED4F39mmucpek/vd6hGLgedbJ/Vpwft2We37T5YEJMzMzM7P2nNi/SxLQv0vS\nlr7zxndJWsjEuyTtfk1E7AK2SzquvtDNzKox6a4c1pzc5xvlnF/OuUH++ZlNzXDbAdRouO0Aajbc\ndgC1cq3ORpWrRR5kEboRYCg9P4Y9uw1BFbvh7Nr1fl9fM3+/gx3vu7vLeNsg7C5Tx7Hz6/ZxTvn1\nKtw9ybtylNTErhxm1g6v9F6t/Hfl2KvHBvtzbtWZC+xspKcFC05ldHRzI33lLpdaLelUivV+zk3H\nG6lol6TxcyLiWUmHAj+PiBMPEEPWu3KYWTu8K0cmcp9vlHN+OecG+ednNjW9tgOoUa/tAGrWS//d\nSfGXpfofY2Ov1Z9W4lrdGWLvOxmq3CXp0fQeAL9NsZjmrJP7teD8ui33/KbLUznMzMzMzBog6VsU\n8w+Ol/Qzijsg7gQelvRFirshroNilyRJ47skfcD+uyStpLj95/G+XZJWAA9I2gS8BSxpIi8zs5ny\nVI6SPJXDLF+53B48KDyVI4e+mu4v79y69F1rkLlWV8dTOcysDp7KYWZmZmZmZmadNOnAhKQVksYk\nre9rO1bSKkkvS3pS0vy+ny2TtEnSRkmX9bWfL2m9pFckLe9rP1zSQ+k1z0g6pcoEuyT3+UY555dz\nbpB/fmZT02s7gBr12g6gZr22A6iVa7VZIfdrwfl1W+75TVeZOybuBS7fp20p8FREnEGxqM4yAEln\nU8yLOwu4Erg7LcoDcA9wY0QsAhZJGn/PG4G3I+J0YDnw9RnkY2ZmZmZmZmYdUmqNiQNsa/QSxbZE\n49sa9SLizANsa/Q94HaKhXyejoizU/vBtjUajYgTJojDa0yYWeU8b7laXmMih76a7i/v3Dz/vRqu\n1dXxGhNmVoc21pg4MSLGANKWReP7Iy8EtvSdty21LQS29rVvTW17vSYidgHbJR03zbjMzMzMzMzM\nrEOqWvyyymHKWTsSnvt8o5zzyzk3yD8/s6nptR1AjXptB1CzXtsB1Mq12qyQ+7Xg/Lot9/yma840\nXzcmaUHfVI43Uvs24ON9552c2iZq73/N62kqx7yIeHuijkdGRhgaGmJ0dJSdO9+k+JIxnH7aS/+t\n53j9+vUceeSRDA8Xx+MfqqqO165dW+n7Ddpx7vn5uDvHvV6PlStXAjA0NISZWX2OYM9yW/VbsOBU\nRkc3N9afmZlZFcquMTFEscbEOen4LooFK++SdCtwbEQsTYtfPghcSDFF4/vA6RERktYANwPPAd8F\nvhERT0i6Cfh0RNyU1p64NiKWTBCH15gws8p53nK1vMZEDn013Z9zq7K/XOfbu1ZXx2tMmFkdZlKn\nJ71jQtK3KG4ZOF7Sz4DbgDuBhyV9kWJhy+sAImKDpG8DG4APgJv6vp1+CVgJzAUej4gnUvsK4AFJ\nm4C3gAMOSpiZmZmZmZlZfiZdYyIiro+Ij0XEERFxSkTcGxHvRMSlEXFGRFwWEdv7zr8jIk6LiLMi\nYlVf+/MRcU5EnB4Rt/S174yI61L7RRGxufIsOyL3+UY555dzbpB/fmZT02s7gBr12g6gZr22A6hZ\nr+0AzAZC7t9bnF+35Z7fdFW1+KWZmZmZmZmZ2ZSVWmNiUHiNCTOrg+ctV8trTOTQV9P9ObfqzAV2\nNtJT0wttulZXx2tMmFkdal1jwszMzMy6YidNDYSMjXmMwMzMquGpHAMk9/lGOeeXc26Qf35mU9Nr\nO4Aa9doOoGa9tgOoWa/tAMwGQu7fW5xft+We33R5YMLMzMzMzMzMWuM1JkryGhNm+fK85Wp5jYkc\n+mq6P+fWzf6andvvWl0drzFhZnXwGhNmZmZm1rAj0mCgmZnZzHgqxwDJfb5RzvnlnBvkn5/Z1PTa\nDqBGvbYDqFmv7QBq1mu4v/GFNpt6mJWT+/cW59dtuec3XR6YMDMzMzMzM7PWeI2JkrzGhFm+PG+5\nWl5jIoe+mu7PuXWzv+Zzc62uRl5rTMyluHunPgsWicFcUAAACEVJREFUnMro6OZa+zDLgdeYMDMz\nMzOzWWh8SlF9xsY8HmZWt4GZyiHpCkkvSXpF0q1tx9OG3Ocb5ZxfzrlB/vlZea7VkPc6Bb22A6hZ\nr+0AatZrOwAbEK7VvbYDqFXu38uc3+w0EAMTkg4B/gS4HPgU8DuSzmw3quatXbu27RBqlXN+OecG\n+edn5bhWj8v5esg5N3B+Nhu4VkPu10Lu38uc3+w0KFM5LgA2RcRrAJIeAq4BXmo1qoZt37697RBq\nlXN+OecG+ednpU25Vq9YcS8bNuRWynO+HnLODZyfzRL+Xp35tZD79zLnNzsNysDEQmBL3/FWiqJq\nZmaDY8q1+stf/gN27Ph3wEfqjCv5Hw30YWY28Py92sw6Z1AGJqbssMMOY8eOV5k371820t+OHc/x\n+c//K9555+e19vO1r30NyHP1382bN7cdQm1yzg3yz8/qc9hhh3H44WuAw2rv6/33X2XHjtq7ATY3\n0UlLNrcdQM02tx1AzTa3HYB1SN3foX/xi3drff+D21zx+x2Rdn2qz1S+++f+vcz5zU4DsV2opIuA\n2yPiinS8FIiIuGuf89oP1syy5C3oJudabWZtc62eXJla7TptZnWZbp0elIGJQ4GXgUuAnwM/An4n\nIja2GpiZme3mWm1mNvhcq82siwZiKkdE7JL0ZWAVxU4hK1w8zcwGi2u1mdngc602sy4aiDsmzMzM\nzMzMzGx2OqTtAA5E0hWSXpL0iqRbJzjnG5I2SVoraXHTMc7EZPlJul7SuvT4oaRz2ohzOsr87tJ5\nvyLpA0m/2WR8M1Xyszks6QVJ/1vS6qZjnIkSn83jJX0vXXcvShppIcxpkbRC0pik9Qc5p7N1pWmu\n092t0+Banc5xrR5ArtX1K3v9d5GkkyU9LenH6bN/c9sxVU3SIZL+l6RH246lapLmS3pY0sb0O7yw\n7ZiqJGlZymu9pAclHd52TDNxoHot6VhJqyS9LOlJSfNLv2FEDNSDYrDkJ8CpFMu4rwXO3OecK4Hv\npucXAmvajrvi/C4C5qfnV3QlvzK59Z3334HHgN9sO+6Kf3fzgR8DC9PxL7Udd8X53QbcMZ4b8BYw\np+3YS+b3a8BiYP0EP+9sXRnQz0pn/3/mXKfL5td3nmv1gD1cq7tbWwbhUfb67+oDOAlYnJ4fRbHW\nRjb5pbz+APhL4NG2Y6kht5XA76Xnc4B5bcdUYW6nAj8FDk/H/w24oe24ZpjTfvUauAv4Snp+K3Bn\n2fcbxDsmLgA2RcRrEfEB8BBwzT7nXAPcDxARzwLzJS1oNsxpmzS/iFgTEf+YDtdQ7EfdBWV+dwD/\nFngEeKPJ4CpQJr/rgb+OiG0AEfEPDcc4E2XyGwWOTs+PBt6KiA8bjHHaIuKHwDsHOaXLdaVprtPd\nrdPgWg2u1QPLtbp2Za//ToqI0YhYm56/B2ykW/X5oCSdDHwO+PO2Y6mapHnAP4uIewEi4sOIaHPP\n2aq9C7wPHClpDvBR4PV2Q5qZCer1NcB96fl9wLVl328QByYWAlv6jreyf0HZ95xtBzhnUJXJr9/v\nA9+rNaLqTJqbpI8B10bEPUDXtvwq87tbBBwnabWk5yR9vrHoZq5Mfn8GfErS68A64JaGYmtCl+tK\n01yn99alOg2u1eBa3WVdri2DYKr1rbMkDVH8a+6z7UZSqf8C/Hsgx0UCPwH8g6R701SVb0r6SNtB\nVSUi3gH+E/Azirq1PSKeajeqWpwYEWNQDBQCJ5Z94SAOTFgi6bPA71HcBpOL5eydT9e+8E5mDnA+\nxa2mVwB/JOm0dkOq1DJgXUR8DDgP+FNJR7Uck1lrMq3T4Frdda7VNqulz/sjwC3pzonOk3QVMJbu\nCBH51uU/jYjzgV8AS9sNqTqSPkkxDedU4GPAUZKubzeqRpQeRBvEgYltwCl9xyentn3P+fgk5wyq\nMvkh6Vzgm8DVaYStC8rk9hngIUmvAr9F8WXp6obim6ky+W0FnoyIHRHxFvAD4J80FN9MlcnvYuBh\ngIj4P8CrwJmNRFe/LteVprlO09k6Da7V4FrdZV2uLYOgVH3rsnSb/CPAAxHxnbbjqdDFwNWSfgr8\nFfBZSfe3HFOVtgJbIuJ/puNHKAYqcvEZ4O8j4u2I2AX8DfBPW46pDmPj0+skncQUpoMO4sDEc8Bp\nkk5NK5UuAfZddfZR4AYASRdR3Aoz1myY0zZpfpJOAf4a+Hz6QtEVk+YWEZ9Mj09QFJybIqIrqwqX\n+Wx+B/g1SYdK+ijFwlxd2Tu8TH4bgUsBUtFZRLGQT1cc7F8YulxXmuY63d06Da7V4Fo96Fyr61Pm\n89N1fwFsiIg/bjuQKkXEVyPilIj4JMXv7emIuKHtuKqSruMtkhalpkuADS2GVLWXgYskzZUkivy6\n8ufOwexbrx8FRtLzL1D8eVvKnOpiqkZE7JL0ZWAVxcDJiojYKOlfFz+Ob0bE45I+J+knwP+luI22\nE8rkB/wRcBxwd/rgfhARF7QXdTklc9vrJY0HOQMlP5svSXoSWA/sAr4ZEZ0oqiV/f3cA90paR1GE\nvhIRb7cXdXmSvgUMA8dL+hnFqvWHk0FdaZrrdHfrNLhWu1YPNtfqek30+Wk5rMpIuhj4XeBFSS9Q\n1K+vRsQT7UZmJd0MPCjpMIrB1Gyu74hYl+5weZ7iz50XKO667KwJ6vWdwMOSvgi8BlxX+v0iOvV9\nw8zMzMzMzMwyMohTOczMzMzMzMxslvDAhJmZmZmZmZm1xgMTZmZmZmZmZtYaD0yYmZmZmZmZWWs8\nMGFmZmZmZmZmrfHAhJmZmZmZmZm1xgMTZmZmZmZmZtYaD0yYmZmZmZmZWWv+P1VVyKTxqEHwAAAA\nAElFTkSuQmCC\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x1130ca710>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "matplotlib.rcParams['figure.figsize'] = (18.0, 16.0)\n",
    "df.hist()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "collapsed": true
   },
   "source": [
    "### Principal Component Analysis using scikit-learn"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "from sklearn.preprocessing import StandardScaler\n",
    "from sklearn.decomposition import PCA\n",
    "\n",
    "X = data[1:]\n",
    "X_std = StandardScaler().fit_transform(X)\n",
    "pca = PCA(n_components=10)\n",
    "X_r = pca.fit(X_std).transform(X_std)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Visualise PCA result"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### Feature table list"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.colorbar.Colorbar at 0x1128a4ad0>"
      ]
     },
     "execution_count": 9,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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H1EP1QxFRdAxmHZok/yMxMzOz3EVEofcMkBR/aKexD6H49ZXUxp+gzNrZyP32Y4PevYsO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\nHgAAAACF9R9uUbj9MGww2gAAAABJRU5ErkJggg==\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x112aeeb50>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "matplotlib.rcParams['figure.figsize'] = (12.0, 8.0)\n",
    "import matplotlib.cm as cm\n",
    "fig = plt.figure()\n",
    "\n",
    "ax = fig.add_subplot(1, 1, 1)\n",
    "im = ax.pcolor(pca.components_.transpose(), cmap=cm.seismic, edgecolors='k', linewidths=2)\n",
    "gs_analytics.set_axis_properties_pca(ax, range(1, 11), convert_list[0:12])\n",
    "plt.colorbar(im)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### Explained variance ratio"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.text.Text at 0x1129dd450>"
      ]
     },
     "execution_count": 10,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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EpPVSwZxnWlN/0mWXhZsBAS65BH7xi/hzW1OetpVyFUd5iqdcxVGe4ihP8ZSr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\nBg5s+A1/5eWwYkXlIjpVWC9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74HrgjNouZmZXmtk/zewNM/tZsm2omf3DzErN7KG0x73/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\ngllEREREpA7/H4VWszb6m4FuAAAAAElFTkSuQmCC\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x112b61910>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "matplotlib.rcParams['figure.figsize'] = (12.0, 4.0)\n",
    "import matplotlib.cm as cm\n",
    "fig = plt.figure()\n",
    "\n",
    "ax = fig.add_subplot(1, 1, 1)\n",
    "plt.plot(pca.explained_variance_ratio_, marker='o', linewidth=2)\n",
    "ax.xaxis.set(ticklabels=range(1, 11))\n",
    "plt.xlabel('PCA component')\n",
    "plt.grid(True)\n",
    "plt.title('Explained variance ratio')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### PCA Component 1 vs Component 2"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "image/png": 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dd9m6dSubNm3C1dWVn376qbDDUkqpmzRp0oS4uDhmz57NL7/8Qt26dRk0aJDe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tLSijzW3Nzc09aNGzeOv/71rwC8++67xMbGsnHjRpYvX87999/Pv//9b95//33q169PmzZtmDt3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\nzXbwTOCJfQAAAABJRU5ErkJggg==\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x112618fd0>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "matplotlib.rcParams['figure.figsize'] = (12.0, 8.0)\n",
    "import matplotlib.cm as cm\n",
    "fig = plt.figure()\n",
    "\n",
    "ax = fig.add_subplot(1, 1, 1)\n",
    "plt.scatter(\n",
    "    pca.components_[0], pca.components_[1],\n",
    "    marker='o', c=pca.components_[1], s=120, cmap=plt.get_cmap('Spectral'))\n",
    "plt.xlabel('PCA component 1')\n",
    "plt.ylabel('PCA component 2')\n",
    "gs_analytics.add_labels(plt, convert_list, pca.components_[0], pca.components_[1])\n",
    "plt.grid(True)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Disconnect from the OMERO server"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "conn._closeSession()"
   ]
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 2",
   "language": "python",
   "name": "python2"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 2
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython2",
   "version": "2.7.11"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 0
}