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ricardobarroslourenco/office_hours.ipynb

Created March 17, 2023 13:24
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Jupyter notebook taken to Xarray Office hours - Mar 17, 2023
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office_hours.ipynb
{
"cells": [
{
"cell_type": "code",
"execution_count": 1,
"id": "7b0eca17-2061-4f01-b2c3-b0eb5aa8fba2",
"metadata": {},
"outputs": [
{
"data": {
"text/html": [
"<div>\n",
" <div style=\"width: 24px; height: 24px; background-color: #e1e1e1; border: 3px solid #9D9D9D; border-radius: 5px; position: absolute;\"> </div>\n",
" <div style=\"margin-left: 48px;\">\n",
" <h3 style=\"margin-bottom: 0px;\">Client</h3>\n",
" <p style=\"color: #9D9D9D; margin-bottom: 0px;\">Client-4298b8de-c43c-11ed-869b-7cd30ac738f6</p>\n",
" <table style=\"width: 100%; text-align: left;\">\n",
"\n",
" <tr>\n",
" \n",
" <td style=\"text-align: left;\"><strong>Connection method:</strong> Direct</td>\n",
" <td style=\"text-align: left;\"></td>\n",
" \n",
" </tr>\n",
"\n",
" \n",
" <tr>\n",
" <td style=\"text-align: left;\">\n",
" <strong>Dashboard: </strong> <a href=\"http://127.0.0.1:8787/status\" target=\"_blank\">http://127.0.0.1:8787/status</a>\n",
" </td>\n",
" <td style=\"text-align: left;\"></td>\n",
" </tr>\n",
" \n",
"\n",
" </table>\n",
"\n",
" \n",
" <button style=\"margin-bottom: 12px;\" data-commandlinker-command=\"dask:populate-and-launch-layout\" data-commandlinker-args='{\"url\": \"http://127.0.0.1:8787/status\" }'>\n",
" Launch dashboard in JupyterLab\n",
" </button>\n",
" \n",
"\n",
" \n",
" <details>\n",
" <summary style=\"margin-bottom: 20px;\"><h3 style=\"display: inline;\">Scheduler Info</h3></summary>\n",
" <div style=\"\">\n",
" <div>\n",
" <div style=\"width: 24px; height: 24px; background-color: #FFF7E5; border: 3px solid #FF6132; border-radius: 5px; position: absolute;\"> </div>\n",
" <div style=\"margin-left: 48px;\">\n",
" <h3 style=\"margin-bottom: 0px;\">Scheduler</h3>\n",
" <p style=\"color: #9D9D9D; margin-bottom: 0px;\">Scheduler-3fc3b9cb-5ac5-4778-b01a-71006e0bec24</p>\n",
" <table style=\"width: 100%; text-align: left;\">\n",
" <tr>\n",
" <td style=\"text-align: left;\">\n",
" <strong>Comm:</strong> tcp://127.0.0.1:45482\n",
" </td>\n",
" <td style=\"text-align: left;\">\n",
" <strong>Workers:</strong> 8\n",
" </td>\n",
" </tr>\n",
" <tr>\n",
" <td style=\"text-align: left;\">\n",
" <strong>Dashboard:</strong> <a href=\"http://127.0.0.1:8787/status\" target=\"_blank\">http://127.0.0.1:8787/status</a>\n",
" </td>\n",
" <td style=\"text-align: left;\">\n",
" <strong>Total threads:</strong> 32\n",
" </td>\n",
" </tr>\n",
" <tr>\n",
" <td style=\"text-align: left;\">\n",
" <strong>Started:</strong> Just now\n",
" </td>\n",
" <td style=\"text-align: left;\">\n",
" <strong>Total memory:</strong> 250.98 GiB\n",
" </td>\n",
" </tr>\n",
" </table>\n",
" </div>\n",
" </div>\n",
"\n",
" <details style=\"margin-left: 48px;\">\n",
" <summary style=\"margin-bottom: 20px;\">\n",
" <h3 style=\"display: inline;\">Workers</h3>\n",
" </summary>\n",
"\n",
" \n",
" <div style=\"margin-bottom: 20px;\">\n",
" <div style=\"width: 24px; height: 24px; background-color: #DBF5FF; border: 3px solid #4CC9FF; border-radius: 5px; position: absolute;\"> </div>\n",
" <div style=\"margin-left: 48px;\">\n",
" <details>\n",
" <summary>\n",
" <h4 style=\"margin-bottom: 0px; display: inline;\">Worker: 0</h4>\n",
" </summary>\n",
" <table style=\"width: 100%; text-align: left;\">\n",
" <tr>\n",
" <td style=\"text-align: left;\">\n",
" <strong>Comm: </strong> tcp://127.0.0.1:38730\n",
" </td>\n",
" <td style=\"text-align: left;\">\n",
" <strong>Total threads: </strong> 4\n",
" </td>\n",
" </tr>\n",
" <tr>\n",
" <td style=\"text-align: left;\">\n",
" <strong>Dashboard: </strong> <a href=\"http://127.0.0.1:35549/status\" target=\"_blank\">http://127.0.0.1:35549/status</a>\n",
" </td>\n",
" <td style=\"text-align: left;\">\n",
" <strong>Memory: </strong> 31.37 GiB\n",
" </td>\n",
" </tr>\n",
" <tr>\n",
" <td style=\"text-align: left;\">\n",
" <strong>Nanny: </strong> tcp://127.0.0.1:38821\n",
" </td>\n",
" <td style=\"text-align: left;\"></td>\n",
" </tr>\n",
" <tr>\n",
" <td colspan=\"2\" style=\"text-align: left;\">\n",
" <strong>Local directory: </strong> /tmp/dask-worker-space/worker-v2ahnemo\n",
" </td>\n",
" </tr>\n",
"\n",
" \n",
"\n",
" \n",
" <tr>\n",
" <td style=\"text-align: left;\">\n",
" <strong>Tasks executing: </strong> \n",
" </td>\n",
" <td style=\"text-align: left;\">\n",
" <strong>Tasks in memory: </strong> \n",
" </td>\n",
" </tr>\n",
" <tr>\n",
" <td style=\"text-align: left;\">\n",
" <strong>Tasks ready: </strong> \n",
" </td>\n",
" <td style=\"text-align: left;\">\n",
" <strong>Tasks in flight: </strong>\n",
" </td>\n",
" </tr>\n",
" <tr>\n",
" <td style=\"text-align: left;\">\n",
" <strong>CPU usage:</strong> 2.0%\n",
" </td>\n",
" <td style=\"text-align: left;\">\n",
" <strong>Last seen: </strong> Just now\n",
" </td>\n",
" </tr>\n",
" <tr>\n",
" <td style=\"text-align: left;\">\n",
" <strong>Memory usage: </strong> 112.77 MiB\n",
" </td>\n",
" <td style=\"text-align: left;\">\n",
" <strong>Spilled bytes: </strong> 0 B\n",
" </td>\n",
" </tr>\n",
" <tr>\n",
" <td style=\"text-align: left;\">\n",
" <strong>Read bytes: </strong> 55.01 kiB\n",
" </td>\n",
" <td style=\"text-align: left;\">\n",
" <strong>Write bytes: </strong> 77.28 kiB\n",
" </td>\n",
" </tr>\n",
" \n",
"\n",
" </table>\n",
" </details>\n",
" </div>\n",
" </div>\n",
" \n",
" <div style=\"margin-bottom: 20px;\">\n",
" <div style=\"width: 24px; height: 24px; background-color: #DBF5FF; border: 3px solid #4CC9FF; border-radius: 5px; position: absolute;\"> </div>\n",
" <div style=\"margin-left: 48px;\">\n",
" <details>\n",
" <summary>\n",
" <h4 style=\"margin-bottom: 0px; display: inline;\">Worker: 1</h4>\n",
" </summary>\n",
" <table style=\"width: 100%; text-align: left;\">\n",
" <tr>\n",
" <td style=\"text-align: left;\">\n",
" <strong>Comm: </strong> tcp://127.0.0.1:39592\n",
" </td>\n",
" <td style=\"text-align: left;\">\n",
" <strong>Total threads: </strong> 4\n",
" </td>\n",
" </tr>\n",
" <tr>\n",
" <td style=\"text-align: left;\">\n",
" <strong>Dashboard: </strong> <a href=\"http://127.0.0.1:40886/status\" target=\"_blank\">http://127.0.0.1:40886/status</a>\n",
" </td>\n",
" <td style=\"text-align: left;\">\n",
" <strong>Memory: </strong> 31.37 GiB\n",
" </td>\n",
" </tr>\n",
" <tr>\n",
" <td style=\"text-align: left;\">\n",
" <strong>Nanny: </strong> tcp://127.0.0.1:38384\n",
" </td>\n",
" <td style=\"text-align: left;\"></td>\n",
" </tr>\n",
" <tr>\n",
" <td colspan=\"2\" style=\"text-align: left;\">\n",
" <strong>Local directory: </strong> /tmp/dask-worker-space/worker-j80o4g7y\n",
" </td>\n",
" </tr>\n",
"\n",
" \n",
"\n",
" \n",
" <tr>\n",
" <td style=\"text-align: left;\">\n",
" <strong>Tasks executing: </strong> \n",
" </td>\n",
" <td style=\"text-align: left;\">\n",
" <strong>Tasks in memory: </strong> \n",
" </td>\n",
" </tr>\n",
" <tr>\n",
" <td style=\"text-align: left;\">\n",
" <strong>Tasks ready: </strong> \n",
" </td>\n",
" <td style=\"text-align: left;\">\n",
" <strong>Tasks in flight: </strong>\n",
" </td>\n",
" </tr>\n",
" <tr>\n",
" <td style=\"text-align: left;\">\n",
" <strong>CPU usage:</strong> 2.0%\n",
" </td>\n",
" <td style=\"text-align: left;\">\n",
" <strong>Last seen: </strong> Just now\n",
" </td>\n",
" </tr>\n",
" <tr>\n",
" <td style=\"text-align: left;\">\n",
" <strong>Memory usage: </strong> 112.77 MiB\n",
" </td>\n",
" <td style=\"text-align: left;\">\n",
" <strong>Spilled bytes: </strong> 0 B\n",
" </td>\n",
" </tr>\n",
" <tr>\n",
" <td style=\"text-align: left;\">\n",
" <strong>Read bytes: </strong> 58.12 kiB\n",
" </td>\n",
" <td style=\"text-align: left;\">\n",
" <strong>Write bytes: </strong> 80.31 kiB\n",
" </td>\n",
" </tr>\n",
" \n",
"\n",
" </table>\n",
" </details>\n",
" </div>\n",
" </div>\n",
" \n",
" <div style=\"margin-bottom: 20px;\">\n",
" <div style=\"width: 24px; height: 24px; background-color: #DBF5FF; border: 3px solid #4CC9FF; border-radius: 5px; position: absolute;\"> </div>\n",
" <div style=\"margin-left: 48px;\">\n",
" <details>\n",
" <summary>\n",
" <h4 style=\"margin-bottom: 0px; display: inline;\">Worker: 2</h4>\n",
" </summary>\n",
" <table style=\"width: 100%; text-align: left;\">\n",
" <tr>\n",
" <td style=\"text-align: left;\">\n",
" <strong>Comm: </strong> tcp://127.0.0.1:34425\n",
" </td>\n",
" <td style=\"text-align: left;\">\n",
" <strong>Total threads: </strong> 4\n",
" </td>\n",
" </tr>\n",
" <tr>\n",
" <td style=\"text-align: left;\">\n",
" <strong>Dashboard: </strong> <a href=\"http://127.0.0.1:43574/status\" target=\"_blank\">http://127.0.0.1:43574/status</a>\n",
" </td>\n",
" <td style=\"text-align: left;\">\n",
" <strong>Memory: </strong> 31.37 GiB\n",
" </td>\n",
" </tr>\n",
" <tr>\n",
" <td style=\"text-align: left;\">\n",
" <strong>Nanny: </strong> tcp://127.0.0.1:37719\n",
" </td>\n",
" <td style=\"text-align: left;\"></td>\n",
" </tr>\n",
" <tr>\n",
" <td colspan=\"2\" style=\"text-align: left;\">\n",
" <strong>Local directory: </strong> /tmp/dask-worker-space/worker-vr0hqobf\n",
" </td>\n",
" </tr>\n",
"\n",
" \n",
"\n",
" \n",
" <tr>\n",
" <td style=\"text-align: left;\">\n",
" <strong>Tasks executing: </strong> \n",
" </td>\n",
" <td style=\"text-align: left;\">\n",
" <strong>Tasks in memory: </strong> \n",
" </td>\n",
" </tr>\n",
" <tr>\n",
" <td style=\"text-align: left;\">\n",
" <strong>Tasks ready: </strong> \n",
" </td>\n",
" <td style=\"text-align: left;\">\n",
" <strong>Tasks in flight: </strong>\n",
" </td>\n",
" </tr>\n",
" <tr>\n",
" <td style=\"text-align: left;\">\n",
" <strong>CPU usage:</strong> 2.0%\n",
" </td>\n",
" <td style=\"text-align: left;\">\n",
" <strong>Last seen: </strong> Just now\n",
" </td>\n",
" </tr>\n",
" <tr>\n",
" <td style=\"text-align: left;\">\n",
" <strong>Memory usage: </strong> 112.78 MiB\n",
" </td>\n",
" <td style=\"text-align: left;\">\n",
" <strong>Spilled bytes: </strong> 0 B\n",
" </td>\n",
" </tr>\n",
" <tr>\n",
" <td style=\"text-align: left;\">\n",
" <strong>Read bytes: </strong> 55.59 kiB\n",
" </td>\n",
" <td style=\"text-align: left;\">\n",
" <strong>Write bytes: </strong> 77.81 kiB\n",
" </td>\n",
" </tr>\n",
" \n",
"\n",
" </table>\n",
" </details>\n",
" </div>\n",
" </div>\n",
" \n",
" <div style=\"margin-bottom: 20px;\">\n",
" <div style=\"width: 24px; height: 24px; background-color: #DBF5FF; border: 3px solid #4CC9FF; border-radius: 5px; position: absolute;\"> </div>\n",
" <div style=\"margin-left: 48px;\">\n",
" <details>\n",
" <summary>\n",
" <h4 style=\"margin-bottom: 0px; display: inline;\">Worker: 3</h4>\n",
" </summary>\n",
" <table style=\"width: 100%; text-align: left;\">\n",
" <tr>\n",
" <td style=\"text-align: left;\">\n",
" <strong>Comm: </strong> tcp://127.0.0.1:39097\n",
" </td>\n",
" <td style=\"text-align: left;\">\n",
" <strong>Total threads: </strong> 4\n",
" </td>\n",
" </tr>\n",
" <tr>\n",
" <td style=\"text-align: left;\">\n",
" <strong>Dashboard: </strong> <a href=\"http://127.0.0.1:35679/status\" target=\"_blank\">http://127.0.0.1:35679/status</a>\n",
" </td>\n",
" <td style=\"text-align: left;\">\n",
" <strong>Memory: </strong> 31.37 GiB\n",
" </td>\n",
" </tr>\n",
" <tr>\n",
" <td style=\"text-align: left;\">\n",
" <strong>Nanny: </strong> tcp://127.0.0.1:32876\n",
" </td>\n",
" <td style=\"text-align: left;\"></td>\n",
" </tr>\n",
" <tr>\n",
" <td colspan=\"2\" style=\"text-align: left;\">\n",
" <strong>Local directory: </strong> /tmp/dask-worker-space/worker-mbu11hjn\n",
" </td>\n",
" </tr>\n",
"\n",
" \n",
"\n",
" \n",
" <tr>\n",
" <td style=\"text-align: left;\">\n",
" <strong>Tasks executing: </strong> \n",
" </td>\n",
" <td style=\"text-align: left;\">\n",
" <strong>Tasks in memory: </strong> \n",
" </td>\n",
" </tr>\n",
" <tr>\n",
" <td style=\"text-align: left;\">\n",
" <strong>Tasks ready: </strong> \n",
" </td>\n",
" <td style=\"text-align: left;\">\n",
" <strong>Tasks in flight: </strong>\n",
" </td>\n",
" </tr>\n",
" <tr>\n",
" <td style=\"text-align: left;\">\n",
" <strong>CPU usage:</strong> 2.0%\n",
" </td>\n",
" <td style=\"text-align: left;\">\n",
" <strong>Last seen: </strong> Just now\n",
" </td>\n",
" </tr>\n",
" <tr>\n",
" <td style=\"text-align: left;\">\n",
" <strong>Memory usage: </strong> 112.78 MiB\n",
" </td>\n",
" <td style=\"text-align: left;\">\n",
" <strong>Spilled bytes: </strong> 0 B\n",
" </td>\n",
" </tr>\n",
" <tr>\n",
" <td style=\"text-align: left;\">\n",
" <strong>Read bytes: </strong> 56.68 kiB\n",
" </td>\n",
" <td style=\"text-align: left;\">\n",
" <strong>Write bytes: </strong> 79.05 kiB\n",
" </td>\n",
" </tr>\n",
" \n",
"\n",
" </table>\n",
" </details>\n",
" </div>\n",
" </div>\n",
" \n",
" <div style=\"margin-bottom: 20px;\">\n",
" <div style=\"width: 24px; height: 24px; background-color: #DBF5FF; border: 3px solid #4CC9FF; border-radius: 5px; position: absolute;\"> </div>\n",
" <div style=\"margin-left: 48px;\">\n",
" <details>\n",
" <summary>\n",
" <h4 style=\"margin-bottom: 0px; display: inline;\">Worker: 4</h4>\n",
" </summary>\n",
" <table style=\"width: 100%; text-align: left;\">\n",
" <tr>\n",
" <td style=\"text-align: left;\">\n",
" <strong>Comm: </strong> tcp://127.0.0.1:42375\n",
" </td>\n",
" <td style=\"text-align: left;\">\n",
" <strong>Total threads: </strong> 4\n",
" </td>\n",
" </tr>\n",
" <tr>\n",
" <td style=\"text-align: left;\">\n",
" <strong>Dashboard: </strong> <a href=\"http://127.0.0.1:40027/status\" target=\"_blank\">http://127.0.0.1:40027/status</a>\n",
" </td>\n",
" <td style=\"text-align: left;\">\n",
" <strong>Memory: </strong> 31.37 GiB\n",
" </td>\n",
" </tr>\n",
" <tr>\n",
" <td style=\"text-align: left;\">\n",
" <strong>Nanny: </strong> tcp://127.0.0.1:42288\n",
" </td>\n",
" <td style=\"text-align: left;\"></td>\n",
" </tr>\n",
" <tr>\n",
" <td colspan=\"2\" style=\"text-align: left;\">\n",
" <strong>Local directory: </strong> /tmp/dask-worker-space/worker-w6o_sbs_\n",
" </td>\n",
" </tr>\n",
"\n",
" \n",
"\n",
" \n",
" <tr>\n",
" <td style=\"text-align: left;\">\n",
" <strong>Tasks executing: </strong> \n",
" </td>\n",
" <td style=\"text-align: left;\">\n",
" <strong>Tasks in memory: </strong> \n",
" </td>\n",
" </tr>\n",
" <tr>\n",
" <td style=\"text-align: left;\">\n",
" <strong>Tasks ready: </strong> \n",
" </td>\n",
" <td style=\"text-align: left;\">\n",
" <strong>Tasks in flight: </strong>\n",
" </td>\n",
" </tr>\n",
" <tr>\n",
" <td style=\"text-align: left;\">\n",
" <strong>CPU usage:</strong> 2.0%\n",
" </td>\n",
" <td style=\"text-align: left;\">\n",
" <strong>Last seen: </strong> Just now\n",
" </td>\n",
" </tr>\n",
" <tr>\n",
" <td style=\"text-align: left;\">\n",
" <strong>Memory usage: </strong> 114.04 MiB\n",
" </td>\n",
" <td style=\"text-align: left;\">\n",
" <strong>Spilled bytes: </strong> 0 B\n",
" </td>\n",
" </tr>\n",
" <tr>\n",
" <td style=\"text-align: left;\">\n",
" <strong>Read bytes: </strong> 56.57 kiB\n",
" </td>\n",
" <td style=\"text-align: left;\">\n",
" <strong>Write bytes: </strong> 78.74 kiB\n",
" </td>\n",
" </tr>\n",
" \n",
"\n",
" </table>\n",
" </details>\n",
" </div>\n",
" </div>\n",
" \n",
" <div style=\"margin-bottom: 20px;\">\n",
" <div style=\"width: 24px; height: 24px; background-color: #DBF5FF; border: 3px solid #4CC9FF; border-radius: 5px; position: absolute;\"> </div>\n",
" <div style=\"margin-left: 48px;\">\n",
" <details>\n",
" <summary>\n",
" <h4 style=\"margin-bottom: 0px; display: inline;\">Worker: 5</h4>\n",
" </summary>\n",
" <table style=\"width: 100%; text-align: left;\">\n",
" <tr>\n",
" <td style=\"text-align: left;\">\n",
" <strong>Comm: </strong> tcp://127.0.0.1:34966\n",
" </td>\n",
" <td style=\"text-align: left;\">\n",
" <strong>Total threads: </strong> 4\n",
" </td>\n",
" </tr>\n",
" <tr>\n",
" <td style=\"text-align: left;\">\n",
" <strong>Dashboard: </strong> <a href=\"http://127.0.0.1:41615/status\" target=\"_blank\">http://127.0.0.1:41615/status</a>\n",
" </td>\n",
" <td style=\"text-align: left;\">\n",
" <strong>Memory: </strong> 31.37 GiB\n",
" </td>\n",
" </tr>\n",
" <tr>\n",
" <td style=\"text-align: left;\">\n",
" <strong>Nanny: </strong> tcp://127.0.0.1:39040\n",
" </td>\n",
" <td style=\"text-align: left;\"></td>\n",
" </tr>\n",
" <tr>\n",
" <td colspan=\"2\" style=\"text-align: left;\">\n",
" <strong>Local directory: </strong> /tmp/dask-worker-space/worker-mnck0fj7\n",
" </td>\n",
" </tr>\n",
"\n",
" \n",
"\n",
" \n",
" <tr>\n",
" <td style=\"text-align: left;\">\n",
" <strong>Tasks executing: </strong> \n",
" </td>\n",
" <td style=\"text-align: left;\">\n",
" <strong>Tasks in memory: </strong> \n",
" </td>\n",
" </tr>\n",
" <tr>\n",
" <td style=\"text-align: left;\">\n",
" <strong>Tasks ready: </strong> \n",
" </td>\n",
" <td style=\"text-align: left;\">\n",
" <strong>Tasks in flight: </strong>\n",
" </td>\n",
" </tr>\n",
" <tr>\n",
" <td style=\"text-align: left;\">\n",
" <strong>CPU usage:</strong> 6.0%\n",
" </td>\n",
" <td style=\"text-align: left;\">\n",
" <strong>Last seen: </strong> Just now\n",
" </td>\n",
" </tr>\n",
" <tr>\n",
" <td style=\"text-align: left;\">\n",
" <strong>Memory usage: </strong> 113.84 MiB\n",
" </td>\n",
" <td style=\"text-align: left;\">\n",
" <strong>Spilled bytes: </strong> 0 B\n",
" </td>\n",
" </tr>\n",
" <tr>\n",
" <td style=\"text-align: left;\">\n",
" <strong>Read bytes: </strong> 56.59 kiB\n",
" </td>\n",
" <td style=\"text-align: left;\">\n",
" <strong>Write bytes: </strong> 78.76 kiB\n",
" </td>\n",
" </tr>\n",
" \n",
"\n",
" </table>\n",
" </details>\n",
" </div>\n",
" </div>\n",
" \n",
" <div style=\"margin-bottom: 20px;\">\n",
" <div style=\"width: 24px; height: 24px; background-color: #DBF5FF; border: 3px solid #4CC9FF; border-radius: 5px; position: absolute;\"> </div>\n",
" <div style=\"margin-left: 48px;\">\n",
" <details>\n",
" <summary>\n",
" <h4 style=\"margin-bottom: 0px; display: inline;\">Worker: 6</h4>\n",
" </summary>\n",
" <table style=\"width: 100%; text-align: left;\">\n",
" <tr>\n",
" <td style=\"text-align: left;\">\n",
" <strong>Comm: </strong> tcp://127.0.0.1:33899\n",
" </td>\n",
" <td style=\"text-align: left;\">\n",
" <strong>Total threads: </strong> 4\n",
" </td>\n",
" </tr>\n",
" <tr>\n",
" <td style=\"text-align: left;\">\n",
" <strong>Dashboard: </strong> <a href=\"http://127.0.0.1:45277/status\" target=\"_blank\">http://127.0.0.1:45277/status</a>\n",
" </td>\n",
" <td style=\"text-align: left;\">\n",
" <strong>Memory: </strong> 31.37 GiB\n",
" </td>\n",
" </tr>\n",
" <tr>\n",
" <td style=\"text-align: left;\">\n",
" <strong>Nanny: </strong> tcp://127.0.0.1:40197\n",
" </td>\n",
" <td style=\"text-align: left;\"></td>\n",
" </tr>\n",
" <tr>\n",
" <td colspan=\"2\" style=\"text-align: left;\">\n",
" <strong>Local directory: </strong> /tmp/dask-worker-space/worker-u68guagc\n",
" </td>\n",
" </tr>\n",
"\n",
" \n",
"\n",
" \n",
" <tr>\n",
" <td style=\"text-align: left;\">\n",
" <strong>Tasks executing: </strong> \n",
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" <td style=\"text-align: left;\">\n",
" <strong>Tasks in memory: </strong> \n",
" </td>\n",
" </tr>\n",
" <tr>\n",
" <td style=\"text-align: left;\">\n",
" <strong>Tasks ready: </strong> \n",
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" <strong>Tasks in flight: </strong>\n",
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" <tr>\n",
" <td style=\"text-align: left;\">\n",
" <strong>CPU usage:</strong> 2.0%\n",
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" <td style=\"text-align: left;\">\n",
" <strong>Last seen: </strong> Just now\n",
" </td>\n",
" </tr>\n",
" <tr>\n",
" <td style=\"text-align: left;\">\n",
" <strong>Memory usage: </strong> 113.87 MiB\n",
" </td>\n",
" <td style=\"text-align: left;\">\n",
" <strong>Spilled bytes: </strong> 0 B\n",
" </td>\n",
" </tr>\n",
" <tr>\n",
" <td style=\"text-align: left;\">\n",
" <strong>Read bytes: </strong> 56.88 kiB\n",
" </td>\n",
" <td style=\"text-align: left;\">\n",
" <strong>Write bytes: </strong> 79.03 kiB\n",
" </td>\n",
" </tr>\n",
" \n",
"\n",
" </table>\n",
" </details>\n",
" </div>\n",
" </div>\n",
" \n",
" <div style=\"margin-bottom: 20px;\">\n",
" <div style=\"width: 24px; height: 24px; background-color: #DBF5FF; border: 3px solid #4CC9FF; border-radius: 5px; position: absolute;\"> </div>\n",
" <div style=\"margin-left: 48px;\">\n",
" <details>\n",
" <summary>\n",
" <h4 style=\"margin-bottom: 0px; display: inline;\">Worker: 7</h4>\n",
" </summary>\n",
" <table style=\"width: 100%; text-align: left;\">\n",
" <tr>\n",
" <td style=\"text-align: left;\">\n",
" <strong>Comm: </strong> tcp://127.0.0.1:42322\n",
" </td>\n",
" <td style=\"text-align: left;\">\n",
" <strong>Total threads: </strong> 4\n",
" </td>\n",
" </tr>\n",
" <tr>\n",
" <td style=\"text-align: left;\">\n",
" <strong>Dashboard: </strong> <a href=\"http://127.0.0.1:39057/status\" target=\"_blank\">http://127.0.0.1:39057/status</a>\n",
" </td>\n",
" <td style=\"text-align: left;\">\n",
" <strong>Memory: </strong> 31.37 GiB\n",
" </td>\n",
" </tr>\n",
" <tr>\n",
" <td style=\"text-align: left;\">\n",
" <strong>Nanny: </strong> tcp://127.0.0.1:37594\n",
" </td>\n",
" <td style=\"text-align: left;\"></td>\n",
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" <strong>Local directory: </strong> /tmp/dask-worker-space/worker-p5mph572\n",
" </td>\n",
" </tr>\n",
"\n",
" \n",
"\n",
" \n",
" <tr>\n",
" <td style=\"text-align: left;\">\n",
" <strong>Tasks executing: </strong> \n",
" </td>\n",
" <td style=\"text-align: left;\">\n",
" <strong>Tasks in memory: </strong> \n",
" </td>\n",
" </tr>\n",
" <tr>\n",
" <td style=\"text-align: left;\">\n",
" <strong>Tasks ready: </strong> \n",
" </td>\n",
" <td style=\"text-align: left;\">\n",
" <strong>Tasks in flight: </strong>\n",
" </td>\n",
" </tr>\n",
" <tr>\n",
" <td style=\"text-align: left;\">\n",
" <strong>CPU usage:</strong> 2.0%\n",
" </td>\n",
" <td style=\"text-align: left;\">\n",
" <strong>Last seen: </strong> Just now\n",
" </td>\n",
" </tr>\n",
" <tr>\n",
" <td style=\"text-align: left;\">\n",
" <strong>Memory usage: </strong> 112.77 MiB\n",
" </td>\n",
" <td style=\"text-align: left;\">\n",
" <strong>Spilled bytes: </strong> 0 B\n",
" </td>\n",
" </tr>\n",
" <tr>\n",
" <td style=\"text-align: left;\">\n",
" <strong>Read bytes: </strong> 57.77 kiB\n",
" </td>\n",
" <td style=\"text-align: left;\">\n",
" <strong>Write bytes: </strong> 79.95 kiB\n",
" </td>\n",
" </tr>\n",
" \n",
"\n",
" </table>\n",
" </details>\n",
" </div>\n",
" </div>\n",
" \n",
"\n",
" </details>\n",
"</div>\n",
" </details>\n",
" \n",
"\n",
" </div>\n",
"</div>"
],
"text/plain": [
"<Client: 'tcp://127.0.0.1:45482' processes=8 threads=32, memory=250.98 GiB>"
]
},
"execution_count": 1,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"from dask.distributed import Client\n",
"\n",
"client = Client(\"tcp://127.0.0.1:45482\")\n",
"client"
]
},
{
"cell_type": "markdown",
"id": "8b8683ec-ce00-4747-b0c2-5fe4bd7ee848",
"metadata": {},
"source": [
"# Assignment 04, Notebook 01 - LAI x Temp"
]
},
{
"cell_type": "code",
"execution_count": 2,
"id": "86a5d77f-b156-45e6-9783-bf46a0800402",
"metadata": {},
"outputs": [],
"source": [
"import xarray as xr\n",
"import numpy as np\n",
"import pandas as pd\n",
"import scipy\n",
"from scipy import stats, signal\n",
"\n",
"import rasterio\n",
"import rioxarray\n",
"import pickle\n",
"\n",
"import matplotlib.pyplot as plt"
]
},
{
"cell_type": "markdown",
"id": "87cacb22-df66-4aeb-9afb-1085cbdf93b2",
"metadata": {},
"source": [
"## Load LAI and Temp arrays and put them in a common dataset"
]
},
{
"cell_type": "code",
"execution_count": 3,
"id": "5d8687b4-ad4d-45ea-8b78-32f57644adde",
"metadata": {},
"outputs": [],
"source": [
"lai_array = xr.open_dataset('./data/GLASS_LAI_82_15_montlhy0_5deg.nc4',\n",
" engine='netcdf4',\n",
" chunks={'band':408, 'x':54, 'y':54},#-1,#{'band':408, 'x':50, 'y':50},#'auto',\n",
" cache=True,\n",
" decode_times=True, \n",
" decode_coords='all'\n",
" )"
]
},
{
"cell_type": "code",
"execution_count": 4,
"id": "c4e44c8b-6467-4e42-9b8c-ef8915fdf741",
"metadata": {},
"outputs": [],
"source": [
"lai_array = lai_array.rename({'__xarray_dataarray_variable__':'lai'})"
]
},
{
"cell_type": "code",
"execution_count": 5,
"id": "15dda5e4-4860-47d7-9f8e-db285f29e403",
"metadata": {},
"outputs": [],
"source": [
"nc4buffer = './data/temp_buffer_not_important_when_not_calculating.nc4' # make a str to save the resampled data\n",
"\n",
"def dump_to_disk(objecttodump):\n",
" xr.backends.file_manager.FILE_CACHE.clear()\n",
" #objecttodump.close()\n",
" objecttodump.to_netcdf(nc4buffer, format=\"NETCDF4\")\n",
" return\n",
"def refresh():\n",
" objecttorecover = xr.open_dataset(nc4buffer,\n",
" engine='netcdf4',\n",
" chunks=-1,#-1,#{'band':408, 'x':50, 'y':50},#'auto',\n",
" cache=False,\n",
" decode_times=True,\n",
" decode_coords='all'\n",
" )\n",
" objecttorecover.persist()\n",
" return objecttorecover"
]
},
{
"cell_type": "code",
"execution_count": 6,
"id": "f3b47026-a668-40e4-b5bf-76d42fb02d1e",
"metadata": {},
"outputs": [
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"dl.xr-attrs {\n",
" padding: 0;\n",
" margin: 0;\n",
" display: grid;\n",
" grid-template-columns: 125px auto;\n",
"}\n",
"\n",
".xr-attrs dt,\n",
".xr-attrs dd {\n",
" padding: 0;\n",
" margin: 0;\n",
" float: left;\n",
" padding-right: 10px;\n",
" width: auto;\n",
"}\n",
"\n",
".xr-attrs dt {\n",
" font-weight: normal;\n",
" grid-column: 1;\n",
"}\n",
"\n",
".xr-attrs dt:hover span {\n",
" display: inline-block;\n",
" background: var(--xr-background-color);\n",
" padding-right: 10px;\n",
"}\n",
"\n",
".xr-attrs dd {\n",
" grid-column: 2;\n",
" white-space: pre-wrap;\n",
" word-break: break-all;\n",
"}\n",
"\n",
".xr-icon-database,\n",
".xr-icon-file-text2,\n",
".xr-no-icon {\n",
" display: inline-block;\n",
" vertical-align: middle;\n",
" width: 1em;\n",
" height: 1.5em !important;\n",
" stroke-width: 0;\n",
" stroke: currentColor;\n",
" fill: currentColor;\n",
"}\n",
"</style><pre class='xr-text-repr-fallback'>&lt;xarray.Dataset&gt;\n",
"Dimensions: (band: 408, x: 720, y: 360)\n",
"Coordinates:\n",
" * band (band) datetime64[ns] 1982-01-31 1982-02-28 ... 2015-12-31\n",
" * x (x) float64 -179.8 -179.2 -178.8 -178.2 ... 178.8 179.2 179.8\n",
" * y (y) float64 89.75 89.25 88.75 88.25 ... -88.75 -89.25 -89.75\n",
" spatial_ref int64 ...\n",
"Data variables:\n",
" lai (band, y, x) float32 dask.array&lt;chunksize=(408, 54, 54), meta=np.ndarray&gt;</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.Dataset</div></div><ul class='xr-sections'><li class='xr-section-item'><input id='section-8a7d815b-5836-42c3-8aee-46d7bd57eb88' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-8a7d815b-5836-42c3-8aee-46d7bd57eb88' class='xr-section-summary' title='Expand/collapse section'>Dimensions:</label><div class='xr-section-inline-details'><ul class='xr-dim-list'><li><span class='xr-has-index'>band</span>: 408</li><li><span class='xr-has-index'>x</span>: 720</li><li><span class='xr-has-index'>y</span>: 360</li></ul></div><div class='xr-section-details'></div></li><li class='xr-section-item'><input id='section-bd2acd2d-f38e-4a72-bb54-e1150d36cf5c' class='xr-section-summary-in' type='checkbox' checked><label for='section-bd2acd2d-f38e-4a72-bb54-e1150d36cf5c' class='xr-section-summary' >Coordinates: <span>(4)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>band</span></div><div class='xr-var-dims'>(band)</div><div class='xr-var-dtype'>datetime64[ns]</div><div class='xr-var-preview xr-preview'>1982-01-31 ... 2015-12-31</div><input id='attrs-9406b5c6-841a-4b27-936f-6c1806773283' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-9406b5c6-841a-4b27-936f-6c1806773283' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-4ec2c9e9-9f4b-4ee6-8df5-23a561d268ba' class='xr-var-data-in' type='checkbox'><label for='data-4ec2c9e9-9f4b-4ee6-8df5-23a561d268ba' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([&#x27;1982-01-31T00:00:00.000000000&#x27;, &#x27;1982-02-28T00:00:00.000000000&#x27;,\n",
" &#x27;1982-03-31T00:00:00.000000000&#x27;, ..., &#x27;2015-10-31T00:00:00.000000000&#x27;,\n",
" &#x27;2015-11-30T00:00:00.000000000&#x27;, &#x27;2015-12-31T00:00:00.000000000&#x27;],\n",
" dtype=&#x27;datetime64[ns]&#x27;)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>x</span></div><div class='xr-var-dims'>(x)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>-179.8 -179.2 ... 179.2 179.8</div><input id='attrs-e9c35c49-3a54-4faa-993c-61eca90b3038' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-e9c35c49-3a54-4faa-993c-61eca90b3038' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-fa19b394-94b8-473b-ba77-ade18b974b6b' class='xr-var-data-in' type='checkbox'><label for='data-fa19b394-94b8-473b-ba77-ade18b974b6b' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([-179.75, -179.25, -178.75, ..., 178.75, 179.25, 179.75])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>y</span></div><div class='xr-var-dims'>(y)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>89.75 89.25 88.75 ... -89.25 -89.75</div><input id='attrs-f5252ce0-02be-4dfa-80a8-48b98efaf707' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-f5252ce0-02be-4dfa-80a8-48b98efaf707' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-255e4c52-bf4d-4838-a0a1-d0d9c54f6e70' class='xr-var-data-in' type='checkbox'><label for='data-255e4c52-bf4d-4838-a0a1-d0d9c54f6e70' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([ 89.75, 89.25, 88.75, ..., -88.75, -89.25, -89.75])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>spatial_ref</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>int64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-eb7d96bd-6d3e-4318-a46a-239cb496d782' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-eb7d96bd-6d3e-4318-a46a-239cb496d782' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-ea0b4312-ceee-4e66-984c-6a5d49ce2b4a' class='xr-var-data-in' type='checkbox'><label for='data-ea0b4312-ceee-4e66-984c-6a5d49ce2b4a' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>crs_wkt :</span></dt><dd>GEOGCS[&quot;WGS 84&quot;,DATUM[&quot;D_unknown&quot;,SPHEROID[&quot;WGS84&quot;,6378137,298.257223563]],PRIMEM[&quot;Greenwich&quot;,0],UNIT[&quot;Degree&quot;,0.0174532925199433],AXIS[&quot;Longitude&quot;,EAST],AXIS[&quot;Latitude&quot;,NORTH]]</dd><dt><span>semi_major_axis :</span></dt><dd>6378137.0</dd><dt><span>semi_minor_axis :</span></dt><dd>6356752.314245179</dd><dt><span>inverse_flattening :</span></dt><dd>298.257223563</dd><dt><span>reference_ellipsoid_name :</span></dt><dd>WGS84</dd><dt><span>longitude_of_prime_meridian :</span></dt><dd>0.0</dd><dt><span>prime_meridian_name :</span></dt><dd>Greenwich</dd><dt><span>geographic_crs_name :</span></dt><dd>WGS 84</dd><dt><span>grid_mapping_name :</span></dt><dd>latitude_longitude</dd><dt><span>spatial_ref :</span></dt><dd>GEOGCS[&quot;WGS 84&quot;,DATUM[&quot;D_unknown&quot;,SPHEROID[&quot;WGS84&quot;,6378137,298.257223563]],PRIMEM[&quot;Greenwich&quot;,0],UNIT[&quot;Degree&quot;,0.0174532925199433],AXIS[&quot;Longitude&quot;,EAST],AXIS[&quot;Latitude&quot;,NORTH]]</dd><dt><span>GeoTransform :</span></dt><dd>-180.0 0.5 -0.0 90.0 -0.0 -0.5</dd></dl></div><div class='xr-var-data'><pre>[1 values with dtype=int64]</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-ecce1df8-22e3-456f-bbea-524fa6a4b227' class='xr-section-summary-in' type='checkbox' checked><label for='section-ecce1df8-22e3-456f-bbea-524fa6a4b227' class='xr-section-summary' >Data variables: <span>(1)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span>lai</span></div><div class='xr-var-dims'>(band, y, x)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(408, 54, 54), meta=np.ndarray&gt;</div><input id='attrs-efe8cb6b-5ab6-424a-abca-3133a72a9bed' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-efe8cb6b-5ab6-424a-abca-3133a72a9bed' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-5de595f8-dfc4-474c-b458-9a9bc2a08cf0' class='xr-var-data-in' type='checkbox'><label for='data-5de595f8-dfc4-474c-b458-9a9bc2a08cf0' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>STATISTICS_MAXIMUM :</span></dt><dd>540</dd><dt><span>STATISTICS_MEAN :</span></dt><dd>87.72932166302</dd><dt><span>STATISTICS_MINIMUM :</span></dt><dd>0</dd><dt><span>STATISTICS_STDDEV :</span></dt><dd>134.37581892842</dd><dt><span>bands :</span></dt><dd>408</dd><dt><span>band_names :</span></dt><dd>Band 1,Band 2,Band 3,Band 4,Band 5,Band 6,Band 7,Band 8,Band 9,Band 10,Band 11,Band 12,Band 13,Band 14,Band 15,Band 16,Band 17,Band 18,Band 19,Band 20,Band 21,Band 22,Band 23,Band 24,Band 25,Band 26,Band 27,Band 28,Band 29,Band 30,Band 31,Band 32,Band 33,Band 34,Band 35,Band 36,Band 37,Band 38,Band 39,Band 40,Band 41,Band 42,Band 43,Band 44,Band 45,Band 46,Band 47,Band 48,Band 49,Band 50,Band 51,Band 52,Band 53,Band 54,Band 55,Band 56,Band 57,Band 58,Band 59,Band 60,Band 61,Band 62,Band 63,Band 64,Band 65,Band 66,Band 67,Band 68,Band 69,Band 70,Band 71,Band 72,Band 73,Band 74,Band 75,Band 76,Band 77,Band 78,Band 79,Band 80,Band 81,Band 82,Band 83,Band 84,Band 85,Band 86,Band 87,Band 88,Band 89,Band 90,Band 91,Band 92,Band 93,Band 94,Band 95,Band 96,Band 97,Band 98,Band 99,Band 100,Band 101,Band 102,Band 103,Band 104,Band 105,Band 106,Band 107,Band 108,Band 109,Band 110,Band 111,Band 112,Band 113,Band 114,Band 115,Band 116,Band 117,Band 118,Band 119,Band 120,Band 121,Band 122,Band 123,Band 124,Band 125,Band 126,Band 127,Band 128,Band 129,Band 130,Band 131,Band 132,Band 133,Band 134,Band 135,Band 136,Band 137,Band 138,Band 139,Band 140,Band 141,Band 142,Band 143,Band 144,Band 145,Band 146,Band 147,Band 148,Band 149,Band 150,Band 151,Band 152,Band 153,Band 154,Band 155,Band 156,Band 157,Band 158,Band 159,Band 160,Band 161,Band 162,Band 163,Band 164,Band 165,Band 166,Band 167,Band 168,Band 169,Band 170,Band 171,Band 172,Band 173,Band 174,Band 175,Band 176,Band 177,Band 178,Band 179,Band 180,Band 181,Band 182,Band 183,Band 184,Band 185,Band 186,Band 187,Band 188,Band 189,Band 190,Band 191,Band 192,Band 193,Band 194,Band 195,Band 196,Band 197,Band 198,Band 199,Band 200,Band 201,Band 202,Band 203,Band 204,Band 205,Band 206,Band 207,Band 208,Band 209,Band 210,Band 211,Band 212,Band 213,Band 214,Band 215,Band 216,Band 217,Band 218,Band 219,Band 220,Band 221,Band 222,Band 223,Band 224,Band 225,Band 226,Band 227,Band 228,Band 229,Band 230,Band 231,Band 232,Band 233,Band 234,Band 235,Band 236,Band 237,Band 238,Band 239,Band 240,Band 241,Band 242,Band 243,Band 244,Band 245,Band 246,Band 247,Band 248,Band 249,Band 250,Band 251,Band 252,Band 253,Band 254,Band 255,Band 256,Band 257,Band 258,Band 259,Band 260,Band 261,Band 262,Band 263,Band 264,Band 265,Band 266,Band 267,Band 268,Band 269,Band 270,Band 271,Band 272,Band 273,Band 274,Band 275,Band 276,Band 277,Band 278,Band 279,Band 280,Band 281,Band 282,Band 283,Band 284,Band 285,Band 286,Band 287,Band 288,Band 289,Band 290,Band 291,Band 292,Band 293,Band 294,Band 295,Band 296,Band 297,Band 298,Band 299,Band 300,Band 301,Band 302,Band 303,Band 304,Band 305,Band 306,Band 307,Band 308,Band 309,Band 310,Band 311,Band 312,Band 313,Band 314,Band 315,Band 316,Band 317,Band 318,Band 319,Band 320,Band 321,Band 322,Band 323,Band 324,Band 325,Band 326,Band 327,Band 328,Band 329,Band 330,Band 331,Band 332,Band 333,Band 334,Band 335,Band 336,Band 337,Band 338,Band 339,Band 340,Band 341,Band 342,Band 343,Band 344,Band 345,Band 346,Band 347,Band 348,Band 349,Band 350,Band 351,Band 352,Band 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Standard</dd><dt><span>header_offset :</span></dt><dd>0</dd><dt><span>interleave :</span></dt><dd>bsq</dd><dt><span>lines :</span></dt><dd>360</dd><dt><span>map_info :</span></dt><dd>Geographic Lat/Lon, 1, 1, -180, 90, 0.5, 0.5,WGS-84</dd><dt><span>samples :</span></dt><dd>720</dd></dl></div><div class='xr-var-data'><table>\n",
" <tr>\n",
" <td>\n",
" <table style=\"border-collapse: collapse;\">\n",
" <thead>\n",
" <tr>\n",
" <td> </td>\n",
" <th> Array </th>\n",
" <th> Chunk </th>\n",
" </tr>\n",
" </thead>\n",
" <tbody>\n",
" \n",
" <tr>\n",
" <th> Bytes </th>\n",
" <td> 403.42 MiB </td>\n",
" <td> 4.54 MiB </td>\n",
" </tr>\n",
" \n",
" <tr>\n",
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" <td> (408, 360, 720) </td>\n",
" <td> (408, 54, 54) </td>\n",
" </tr>\n",
" <tr>\n",
" <th> Dask graph </th>\n",
" <td colspan=\"2\"> 98 chunks in 2 graph layers </td>\n",
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" <tr>\n",
" <th> Data type </th>\n",
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"</table></div></li></ul></div></li><li class='xr-section-item'><input id='section-ba5cc7f3-043c-40ff-9a03-113f35c0972e' class='xr-section-summary-in' type='checkbox' ><label for='section-ba5cc7f3-043c-40ff-9a03-113f35c0972e' class='xr-section-summary' >Indexes: <span>(3)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-index-name'><div>band</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-3ef24399-754f-4358-9047-3aae2f3094c3' class='xr-index-data-in' type='checkbox'/><label for='index-3ef24399-754f-4358-9047-3aae2f3094c3' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(DatetimeIndex([&#x27;1982-01-31&#x27;, &#x27;1982-02-28&#x27;, &#x27;1982-03-31&#x27;, &#x27;1982-04-30&#x27;,\n",
" &#x27;1982-05-31&#x27;, &#x27;1982-06-30&#x27;, &#x27;1982-07-31&#x27;, &#x27;1982-08-31&#x27;,\n",
" &#x27;1982-09-30&#x27;, &#x27;1982-10-31&#x27;,\n",
" ...\n",
" &#x27;2015-03-31&#x27;, &#x27;2015-04-30&#x27;, &#x27;2015-05-31&#x27;, &#x27;2015-06-30&#x27;,\n",
" &#x27;2015-07-31&#x27;, &#x27;2015-08-31&#x27;, &#x27;2015-09-30&#x27;, &#x27;2015-10-31&#x27;,\n",
" &#x27;2015-11-30&#x27;, &#x27;2015-12-31&#x27;],\n",
" dtype=&#x27;datetime64[ns]&#x27;, name=&#x27;band&#x27;, length=408, freq=None))</pre></div></li><li class='xr-var-item'><div class='xr-index-name'><div>x</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-89038eaf-b0fd-4d34-9b9e-4b7e054a2797' class='xr-index-data-in' type='checkbox'/><label for='index-89038eaf-b0fd-4d34-9b9e-4b7e054a2797' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Float64Index([-179.75, -179.25, -178.75, -178.25, -177.75, -177.25, -176.75,\n",
" -176.25, -175.75, -175.25,\n",
" ...\n",
" 175.25, 175.75, 176.25, 176.75, 177.25, 177.75, 178.25,\n",
" 178.75, 179.25, 179.75],\n",
" dtype=&#x27;float64&#x27;, name=&#x27;x&#x27;, length=720))</pre></div></li><li class='xr-var-item'><div class='xr-index-name'><div>y</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-689f28e3-44aa-4765-b989-ac98cf15d14d' class='xr-index-data-in' type='checkbox'/><label for='index-689f28e3-44aa-4765-b989-ac98cf15d14d' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Float64Index([ 89.75, 89.25, 88.75, 88.25, 87.75, 87.25, 86.75, 86.25,\n",
" 85.75, 85.25,\n",
" ...\n",
" -85.25, -85.75, -86.25, -86.75, -87.25, -87.75, -88.25, -88.75,\n",
" -89.25, -89.75],\n",
" dtype=&#x27;float64&#x27;, name=&#x27;y&#x27;, length=360))</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-d4e3b651-ccab-4030-b111-8cf8e0e0f426' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-d4e3b651-ccab-4030-b111-8cf8e0e0f426' class='xr-section-summary' title='Expand/collapse section'>Attributes: <span>(0)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'></dl></div></li></ul></div></div>"
],
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"<xarray.Dataset>\n",
"Dimensions: (band: 408, x: 720, y: 360)\n",
"Coordinates:\n",
" * band (band) datetime64[ns] 1982-01-31 1982-02-28 ... 2015-12-31\n",
" * x (x) float64 -179.8 -179.2 -178.8 -178.2 ... 178.8 179.2 179.8\n",
" * y (y) float64 89.75 89.25 88.75 88.25 ... -88.75 -89.25 -89.75\n",
" spatial_ref int64 ...\n",
"Data variables:\n",
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]
},
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"metadata": {},
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"source": [
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},
{
"cell_type": "code",
"execution_count": 7,
"id": "2e95f3be-355c-40c8-9943-e1211395b119",
"metadata": {},
"outputs": [],
"source": [
"temp_array = xr.open_dataset('./data/CRU406_temp_1982_2015_month_mean.nc4',\n",
" engine='netcdf4',\n",
" chunks=-1,#{'band':408, 'x':50, 'y':50},#-1,#{'band':408},#'auto',\n",
" cache=True,\n",
" decode_times=True,\n",
" decode_coords='all'\n",
" )"
]
},
{
"cell_type": "code",
"execution_count": 8,
"id": "57dd2825-5730-47de-8cd7-6799c6a8287b",
"metadata": {},
"outputs": [],
"source": [
"lai_array['temp'] = temp_array['__xarray_dataarray_variable__']"
]
},
{
"cell_type": "code",
"execution_count": 9,
"id": "09f7ef5f-428b-475d-84f1-deede17c0154",
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"</style><pre class='xr-text-repr-fallback'>&lt;xarray.Dataset&gt;\n",
"Dimensions: (band: 408, x: 720, y: 360)\n",
"Coordinates:\n",
" * band (band) datetime64[ns] 1982-01-31 1982-02-28 ... 2015-12-31\n",
" * x (x) float64 -179.8 -179.2 -178.8 -178.2 ... 178.8 179.2 179.8\n",
" * y (y) float64 89.75 89.25 88.75 88.25 ... -88.75 -89.25 -89.75\n",
" spatial_ref int64 ...\n",
"Data variables:\n",
" lai (band, y, x) float32 dask.array&lt;chunksize=(408, 54, 54), meta=np.ndarray&gt;\n",
" temp (band, y, x) float32 dask.array&lt;chunksize=(408, 360, 720), meta=np.ndarray&gt;</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.Dataset</div></div><ul class='xr-sections'><li class='xr-section-item'><input id='section-79d55a97-2703-4bbf-a5bc-fd955518ac83' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-79d55a97-2703-4bbf-a5bc-fd955518ac83' class='xr-section-summary' title='Expand/collapse section'>Dimensions:</label><div class='xr-section-inline-details'><ul class='xr-dim-list'><li><span class='xr-has-index'>band</span>: 408</li><li><span class='xr-has-index'>x</span>: 720</li><li><span class='xr-has-index'>y</span>: 360</li></ul></div><div class='xr-section-details'></div></li><li class='xr-section-item'><input id='section-49eb54be-ade0-4813-b26c-3c8fae32e4c4' class='xr-section-summary-in' type='checkbox' checked><label for='section-49eb54be-ade0-4813-b26c-3c8fae32e4c4' class='xr-section-summary' >Coordinates: <span>(4)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>band</span></div><div class='xr-var-dims'>(band)</div><div class='xr-var-dtype'>datetime64[ns]</div><div class='xr-var-preview xr-preview'>1982-01-31 ... 2015-12-31</div><input id='attrs-86709252-8c9f-497e-beb1-8dd161bd9788' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-86709252-8c9f-497e-beb1-8dd161bd9788' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-11c5c180-066f-4ce6-8dfd-e6fa5dea75a8' class='xr-var-data-in' type='checkbox'><label for='data-11c5c180-066f-4ce6-8dfd-e6fa5dea75a8' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([&#x27;1982-01-31T00:00:00.000000000&#x27;, &#x27;1982-02-28T00:00:00.000000000&#x27;,\n",
" &#x27;1982-03-31T00:00:00.000000000&#x27;, ..., &#x27;2015-10-31T00:00:00.000000000&#x27;,\n",
" &#x27;2015-11-30T00:00:00.000000000&#x27;, &#x27;2015-12-31T00:00:00.000000000&#x27;],\n",
" dtype=&#x27;datetime64[ns]&#x27;)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>x</span></div><div class='xr-var-dims'>(x)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>-179.8 -179.2 ... 179.2 179.8</div><input id='attrs-47a934d1-40c9-4d73-a828-5c26a733096d' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-47a934d1-40c9-4d73-a828-5c26a733096d' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-54a88876-68dd-4da5-be23-63cf9d7e0fbf' class='xr-var-data-in' type='checkbox'><label for='data-54a88876-68dd-4da5-be23-63cf9d7e0fbf' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([-179.75, -179.25, -178.75, ..., 178.75, 179.25, 179.75])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>y</span></div><div class='xr-var-dims'>(y)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>89.75 89.25 88.75 ... -89.25 -89.75</div><input id='attrs-6d48b049-4b0b-4bb7-a93f-355e37b217bc' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-6d48b049-4b0b-4bb7-a93f-355e37b217bc' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-c73a4c8e-77c1-4420-9684-eb939eb7112d' class='xr-var-data-in' type='checkbox'><label for='data-c73a4c8e-77c1-4420-9684-eb939eb7112d' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([ 89.75, 89.25, 88.75, ..., -88.75, -89.25, -89.75])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>spatial_ref</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>int64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-596e82e6-6e61-4a41-ad3b-7dea13a3719d' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-596e82e6-6e61-4a41-ad3b-7dea13a3719d' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-e35600ff-13d6-4ebd-a02b-ae539704a7c6' class='xr-var-data-in' type='checkbox'><label for='data-e35600ff-13d6-4ebd-a02b-ae539704a7c6' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>crs_wkt :</span></dt><dd>GEOGCS[&quot;WGS 84&quot;,DATUM[&quot;D_unknown&quot;,SPHEROID[&quot;WGS84&quot;,6378137,298.257223563]],PRIMEM[&quot;Greenwich&quot;,0],UNIT[&quot;Degree&quot;,0.0174532925199433],AXIS[&quot;Longitude&quot;,EAST],AXIS[&quot;Latitude&quot;,NORTH]]</dd><dt><span>semi_major_axis :</span></dt><dd>6378137.0</dd><dt><span>semi_minor_axis :</span></dt><dd>6356752.314245179</dd><dt><span>inverse_flattening :</span></dt><dd>298.257223563</dd><dt><span>reference_ellipsoid_name :</span></dt><dd>WGS84</dd><dt><span>longitude_of_prime_meridian :</span></dt><dd>0.0</dd><dt><span>prime_meridian_name :</span></dt><dd>Greenwich</dd><dt><span>geographic_crs_name :</span></dt><dd>WGS 84</dd><dt><span>grid_mapping_name :</span></dt><dd>latitude_longitude</dd><dt><span>spatial_ref :</span></dt><dd>GEOGCS[&quot;WGS 84&quot;,DATUM[&quot;D_unknown&quot;,SPHEROID[&quot;WGS84&quot;,6378137,298.257223563]],PRIMEM[&quot;Greenwich&quot;,0],UNIT[&quot;Degree&quot;,0.0174532925199433],AXIS[&quot;Longitude&quot;,EAST],AXIS[&quot;Latitude&quot;,NORTH]]</dd><dt><span>GeoTransform :</span></dt><dd>-180.0 0.5 -0.0 90.0 -0.0 -0.5</dd></dl></div><div class='xr-var-data'><pre>[1 values with dtype=int64]</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-743bfcd4-1822-489c-be7c-12b247acda3f' class='xr-section-summary-in' type='checkbox' checked><label for='section-743bfcd4-1822-489c-be7c-12b247acda3f' class='xr-section-summary' >Data variables: <span>(2)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span>lai</span></div><div class='xr-var-dims'>(band, y, x)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(408, 54, 54), meta=np.ndarray&gt;</div><input id='attrs-f8529a5c-3075-4c39-be4f-fcbabb302d8d' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-f8529a5c-3075-4c39-be4f-fcbabb302d8d' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-3001ce24-84d9-4e2a-8e4c-c1b9b1f8e488' class='xr-var-data-in' type='checkbox'><label for='data-3001ce24-84d9-4e2a-8e4c-c1b9b1f8e488' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>STATISTICS_MAXIMUM :</span></dt><dd>540</dd><dt><span>STATISTICS_MEAN :</span></dt><dd>87.72932166302</dd><dt><span>STATISTICS_MINIMUM :</span></dt><dd>0</dd><dt><span>STATISTICS_STDDEV :</span></dt><dd>134.37581892842</dd><dt><span>bands :</span></dt><dd>408</dd><dt><span>band_names :</span></dt><dd>Band 1,Band 2,Band 3,Band 4,Band 5,Band 6,Band 7,Band 8,Band 9,Band 10,Band 11,Band 12,Band 13,Band 14,Band 15,Band 16,Band 17,Band 18,Band 19,Band 20,Band 21,Band 22,Band 23,Band 24,Band 25,Band 26,Band 27,Band 28,Band 29,Band 30,Band 31,Band 32,Band 33,Band 34,Band 35,Band 36,Band 37,Band 38,Band 39,Band 40,Band 41,Band 42,Band 43,Band 44,Band 45,Band 46,Band 47,Band 48,Band 49,Band 50,Band 51,Band 52,Band 53,Band 54,Band 55,Band 56,Band 57,Band 58,Band 59,Band 60,Band 61,Band 62,Band 63,Band 64,Band 65,Band 66,Band 67,Band 68,Band 69,Band 70,Band 71,Band 72,Band 73,Band 74,Band 75,Band 76,Band 77,Band 78,Band 79,Band 80,Band 81,Band 82,Band 83,Band 84,Band 85,Band 86,Band 87,Band 88,Band 89,Band 90,Band 91,Band 92,Band 93,Band 94,Band 95,Band 96,Band 97,Band 98,Band 99,Band 100,Band 101,Band 102,Band 103,Band 104,Band 105,Band 106,Band 107,Band 108,Band 109,Band 110,Band 111,Band 112,Band 113,Band 114,Band 115,Band 116,Band 117,Band 118,Band 119,Band 120,Band 121,Band 122,Band 123,Band 124,Band 125,Band 126,Band 127,Band 128,Band 129,Band 130,Band 131,Band 132,Band 133,Band 134,Band 135,Band 136,Band 137,Band 138,Band 139,Band 140,Band 141,Band 142,Band 143,Band 144,Band 145,Band 146,Band 147,Band 148,Band 149,Band 150,Band 151,Band 152,Band 153,Band 154,Band 155,Band 156,Band 157,Band 158,Band 159,Band 160,Band 161,Band 162,Band 163,Band 164,Band 165,Band 166,Band 167,Band 168,Band 169,Band 170,Band 171,Band 172,Band 173,Band 174,Band 175,Band 176,Band 177,Band 178,Band 179,Band 180,Band 181,Band 182,Band 183,Band 184,Band 185,Band 186,Band 187,Band 188,Band 189,Band 190,Band 191,Band 192,Band 193,Band 194,Band 195,Band 196,Band 197,Band 198,Band 199,Band 200,Band 201,Band 202,Band 203,Band 204,Band 205,Band 206,Band 207,Band 208,Band 209,Band 210,Band 211,Band 212,Band 213,Band 214,Band 215,Band 216,Band 217,Band 218,Band 219,Band 220,Band 221,Band 222,Band 223,Band 224,Band 225,Band 226,Band 227,Band 228,Band 229,Band 230,Band 231,Band 232,Band 233,Band 234,Band 235,Band 236,Band 237,Band 238,Band 239,Band 240,Band 241,Band 242,Band 243,Band 244,Band 245,Band 246,Band 247,Band 248,Band 249,Band 250,Band 251,Band 252,Band 253,Band 254,Band 255,Band 256,Band 257,Band 258,Band 259,Band 260,Band 261,Band 262,Band 263,Band 264,Band 265,Band 266,Band 267,Band 268,Band 269,Band 270,Band 271,Band 272,Band 273,Band 274,Band 275,Band 276,Band 277,Band 278,Band 279,Band 280,Band 281,Band 282,Band 283,Band 284,Band 285,Band 286,Band 287,Band 288,Band 289,Band 290,Band 291,Band 292,Band 293,Band 294,Band 295,Band 296,Band 297,Band 298,Band 299,Band 300,Band 301,Band 302,Band 303,Band 304,Band 305,Band 306,Band 307,Band 308,Band 309,Band 310,Band 311,Band 312,Band 313,Band 314,Band 315,Band 316,Band 317,Band 318,Band 319,Band 320,Band 321,Band 322,Band 323,Band 324,Band 325,Band 326,Band 327,Band 328,Band 329,Band 330,Band 331,Band 332,Band 333,Band 334,Band 335,Band 336,Band 337,Band 338,Band 339,Band 340,Band 341,Band 342,Band 343,Band 344,Band 345,Band 346,Band 347,Band 348,Band 349,Band 350,Band 351,Band 352,Band 353,Band 354,Band 355,Band 356,Band 357,Band 358,Band 359,Band 360,Band 361,Band 362,Band 363,Band 364,Band 365,Band 366,Band 367,Band 368,Band 369,Band 370,Band 371,Band 372,Band 373,Band 374,Band 375,Band 376,Band 377,Band 378,Band 379,Band 380,Band 381,Band 382,Band 383,Band 384,Band 385,Band 386,Band 387,Band 388,Band 389,Band 390,Band 391,Band 392,Band 393,Band 394,Band 395,Band 396,Band 397,Band 398,Band 399,Band 400,Band 401,Band 402,Band 403,Band 404,Band 405,Band 406,Band 407,Band 408</dd><dt><span>byte_order :</span></dt><dd>0</dd><dt><span>coordinate_system_string :</span></dt><dd>GEOGCS[&quot;GCS_WGS_1984&quot;,DATUM[&quot;D_unknown&quot;,SPHEROID[&quot;WGS84&quot;,6378137,298.257223563]],PRIMEM[&quot;Greenwich&quot;,0],UNIT[&quot;Degree&quot;,0.017453292519943295]]</dd><dt><span>data_type :</span></dt><dd>4</dd><dt><span>description :</span></dt><dd>L:\\NDVIseason\\LAI\\glasss\\GLASS_LAI_82_15_montlhy0_5deg.envi</dd><dt><span>file_type :</span></dt><dd>ENVI Standard</dd><dt><span>header_offset :</span></dt><dd>0</dd><dt><span>interleave :</span></dt><dd>bsq</dd><dt><span>lines :</span></dt><dd>360</dd><dt><span>map_info :</span></dt><dd>Geographic Lat/Lon, 1, 1, -180, 90, 0.5, 0.5,WGS-84</dd><dt><span>samples :</span></dt><dd>720</dd></dl></div><div class='xr-var-data'><table>\n",
" <tr>\n",
" <td>\n",
" <table style=\"border-collapse: collapse;\">\n",
" <thead>\n",
" <tr>\n",
" <td> </td>\n",
" <th> Array </th>\n",
" <th> Chunk </th>\n",
" </tr>\n",
" </thead>\n",
" <tbody>\n",
" \n",
" <tr>\n",
" <th> Bytes </th>\n",
" <td> 403.42 MiB </td>\n",
" <td> 4.54 MiB </td>\n",
" </tr>\n",
" \n",
" <tr>\n",
" <th> Shape </th>\n",
" <td> (408, 360, 720) </td>\n",
" <td> (408, 54, 54) </td>\n",
" </tr>\n",
" <tr>\n",
" <th> Dask graph </th>\n",
" <td colspan=\"2\"> 98 chunks in 2 graph layers </td>\n",
" </tr>\n",
" <tr>\n",
" <th> Data type </th>\n",
" <td colspan=\"2\"> float32 numpy.ndarray </td>\n",
" </tr>\n",
" </tbody>\n",
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" </tr>\n",
"</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>temp</span></div><div class='xr-var-dims'>(band, y, x)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(408, 360, 720), meta=np.ndarray&gt;</div><input id='attrs-5f1bfa82-d9b5-4015-870f-921cb815a55f' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-5f1bfa82-d9b5-4015-870f-921cb815a55f' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-e2fb379d-0345-442d-a5be-f468d34f51ab' class='xr-var-data-in' type='checkbox'><label for='data-e2fb379d-0345-442d-a5be-f468d34f51ab' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>STATISTICS_MAXIMUM :</span></dt><dd>33.700000762939</dd><dt><span>STATISTICS_MEAN :</span></dt><dd>1.#SNAN</dd><dt><span>STATISTICS_MINIMUM :</span></dt><dd>-53.799999237061</dd><dt><span>STATISTICS_STDDEV :</span></dt><dd>1.#SNAN</dd><dt><span>bands :</span></dt><dd>408</dd><dt><span>band_names :</span></dt><dd>Band 1,Band 2,Band 3,Band 4,Band 5,Band 6,Band 7,Band 8,Band 9,Band 10,Band 11,Band 12,Band 13,Band 14,Band 15,Band 16,Band 17,Band 18,Band 19,Band 20,Band 21,Band 22,Band 23,Band 24,Band 25,Band 26,Band 27,Band 28,Band 29,Band 30,Band 31,Band 32,Band 33,Band 34,Band 35,Band 36,Band 37,Band 38,Band 39,Band 40,Band 41,Band 42,Band 43,Band 44,Band 45,Band 46,Band 47,Band 48,Band 49,Band 50,Band 51,Band 52,Band 53,Band 54,Band 55,Band 56,Band 57,Band 58,Band 59,Band 60,Band 61,Band 62,Band 63,Band 64,Band 65,Band 66,Band 67,Band 68,Band 69,Band 70,Band 71,Band 72,Band 73,Band 74,Band 75,Band 76,Band 77,Band 78,Band 79,Band 80,Band 81,Band 82,Band 83,Band 84,Band 85,Band 86,Band 87,Band 88,Band 89,Band 90,Band 91,Band 92,Band 93,Band 94,Band 95,Band 96,Band 97,Band 98,Band 99,Band 100,Band 101,Band 102,Band 103,Band 104,Band 105,Band 106,Band 107,Band 108,Band 109,Band 110,Band 111,Band 112,Band 113,Band 114,Band 115,Band 116,Band 117,Band 118,Band 119,Band 120,Band 121,Band 122,Band 123,Band 124,Band 125,Band 126,Band 127,Band 128,Band 129,Band 130,Band 131,Band 132,Band 133,Band 134,Band 135,Band 136,Band 137,Band 138,Band 139,Band 140,Band 141,Band 142,Band 143,Band 144,Band 145,Band 146,Band 147,Band 148,Band 149,Band 150,Band 151,Band 152,Band 153,Band 154,Band 155,Band 156,Band 157,Band 158,Band 159,Band 160,Band 161,Band 162,Band 163,Band 164,Band 165,Band 166,Band 167,Band 168,Band 169,Band 170,Band 171,Band 172,Band 173,Band 174,Band 175,Band 176,Band 177,Band 178,Band 179,Band 180,Band 181,Band 182,Band 183,Band 184,Band 185,Band 186,Band 187,Band 188,Band 189,Band 190,Band 191,Band 192,Band 193,Band 194,Band 195,Band 196,Band 197,Band 198,Band 199,Band 200,Band 201,Band 202,Band 203,Band 204,Band 205,Band 206,Band 207,Band 208,Band 209,Band 210,Band 211,Band 212,Band 213,Band 214,Band 215,Band 216,Band 217,Band 218,Band 219,Band 220,Band 221,Band 222,Band 223,Band 224,Band 225,Band 226,Band 227,Band 228,Band 229,Band 230,Band 231,Band 232,Band 233,Band 234,Band 235,Band 236,Band 237,Band 238,Band 239,Band 240,Band 241,Band 242,Band 243,Band 244,Band 245,Band 246,Band 247,Band 248,Band 249,Band 250,Band 251,Band 252,Band 253,Band 254,Band 255,Band 256,Band 257,Band 258,Band 259,Band 260,Band 261,Band 262,Band 263,Band 264,Band 265,Band 266,Band 267,Band 268,Band 269,Band 270,Band 271,Band 272,Band 273,Band 274,Band 275,Band 276,Band 277,Band 278,Band 279,Band 280,Band 281,Band 282,Band 283,Band 284,Band 285,Band 286,Band 287,Band 288,Band 289,Band 290,Band 291,Band 292,Band 293,Band 294,Band 295,Band 296,Band 297,Band 298,Band 299,Band 300,Band 301,Band 302,Band 303,Band 304,Band 305,Band 306,Band 307,Band 308,Band 309,Band 310,Band 311,Band 312,Band 313,Band 314,Band 315,Band 316,Band 317,Band 318,Band 319,Band 320,Band 321,Band 322,Band 323,Band 324,Band 325,Band 326,Band 327,Band 328,Band 329,Band 330,Band 331,Band 332,Band 333,Band 334,Band 335,Band 336,Band 337,Band 338,Band 339,Band 340,Band 341,Band 342,Band 343,Band 344,Band 345,Band 346,Band 347,Band 348,Band 349,Band 350,Band 351,Band 352,Band 353,Band 354,Band 355,Band 356,Band 357,Band 358,Band 359,Band 360,Band 361,Band 362,Band 363,Band 364,Band 365,Band 366,Band 367,Band 368,Band 369,Band 370,Band 371,Band 372,Band 373,Band 374,Band 375,Band 376,Band 377,Band 378,Band 379,Band 380,Band 381,Band 382,Band 383,Band 384,Band 385,Band 386,Band 387,Band 388,Band 389,Band 390,Band 391,Band 392,Band 393,Band 394,Band 395,Band 396,Band 397,Band 398,Band 399,Band 400,Band 401,Band 402,Band 403,Band 404,Band 405,Band 406,Band 407,Band 408</dd><dt><span>byte_order :</span></dt><dd>0</dd><dt><span>coordinate_system_string :</span></dt><dd>GEOGCS[&quot;GCS_unknown&quot;,DATUM[&quot;D_WGS_1984&quot;,SPHEROID[&quot;WGS_1984&quot;,6378137.0,298.257223563]],PRIMEM[&quot;Greenwich&quot;,0.0],UNIT[&quot;Degree&quot;,0.0174532925199433]]</dd><dt><span>data_type :</span></dt><dd>4</dd><dt><span>description :</span></dt><dd>C:\\data\\Course\\Grad_course\\2023\\Greening_climate_project3\\data\\CRU406_temp_1982_2015_month_mean.envi</dd><dt><span>file_type :</span></dt><dd>ENVI Standard</dd><dt><span>header_offset :</span></dt><dd>0</dd><dt><span>interleave :</span></dt><dd>bsq</dd><dt><span>lines :</span></dt><dd>360</dd><dt><span>map_info :</span></dt><dd>Geographic Lat/Lon, 1, 1, -180, 90, 0.5, 0.5,WGS-84</dd><dt><span>samples :</span></dt><dd>720</dd></dl></div><div class='xr-var-data'><table>\n",
" <tr>\n",
" <td>\n",
" <table style=\"border-collapse: collapse;\">\n",
" <thead>\n",
" <tr>\n",
" <td> </td>\n",
" <th> Array </th>\n",
" <th> Chunk </th>\n",
" </tr>\n",
" </thead>\n",
" <tbody>\n",
" \n",
" <tr>\n",
" <th> Bytes </th>\n",
" <td> 403.42 MiB </td>\n",
" <td> 403.42 MiB </td>\n",
" </tr>\n",
" \n",
" <tr>\n",
" <th> Shape </th>\n",
" <td> (408, 360, 720) </td>\n",
" <td> (408, 360, 720) </td>\n",
" </tr>\n",
" <tr>\n",
" <th> Dask graph </th>\n",
" <td colspan=\"2\"> 1 chunks in 2 graph layers </td>\n",
" </tr>\n",
" <tr>\n",
" <th> Data type </th>\n",
" <td colspan=\"2\"> float32 numpy.ndarray </td>\n",
" </tr>\n",
" </tbody>\n",
" </table>\n",
" </td>\n",
" <td>\n",
" <svg width=\"220\" height=\"150\" style=\"stroke:rgb(0,0,0);stroke-width:1\" >\n",
"\n",
" <!-- Horizontal lines -->\n",
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"\n",
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"</svg>\n",
" </td>\n",
" </tr>\n",
"</table></div></li></ul></div></li><li class='xr-section-item'><input id='section-2b22a394-761e-4dc7-aeb8-802c3175cea9' class='xr-section-summary-in' type='checkbox' ><label for='section-2b22a394-761e-4dc7-aeb8-802c3175cea9' class='xr-section-summary' >Indexes: <span>(3)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-index-name'><div>band</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-c5588f6a-c769-43da-bcaa-7c0e03b45285' class='xr-index-data-in' type='checkbox'/><label for='index-c5588f6a-c769-43da-bcaa-7c0e03b45285' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(DatetimeIndex([&#x27;1982-01-31&#x27;, &#x27;1982-02-28&#x27;, &#x27;1982-03-31&#x27;, &#x27;1982-04-30&#x27;,\n",
" &#x27;1982-05-31&#x27;, &#x27;1982-06-30&#x27;, &#x27;1982-07-31&#x27;, &#x27;1982-08-31&#x27;,\n",
" &#x27;1982-09-30&#x27;, &#x27;1982-10-31&#x27;,\n",
" ...\n",
" &#x27;2015-03-31&#x27;, &#x27;2015-04-30&#x27;, &#x27;2015-05-31&#x27;, &#x27;2015-06-30&#x27;,\n",
" &#x27;2015-07-31&#x27;, &#x27;2015-08-31&#x27;, &#x27;2015-09-30&#x27;, &#x27;2015-10-31&#x27;,\n",
" &#x27;2015-11-30&#x27;, &#x27;2015-12-31&#x27;],\n",
" dtype=&#x27;datetime64[ns]&#x27;, name=&#x27;band&#x27;, length=408, freq=None))</pre></div></li><li class='xr-var-item'><div class='xr-index-name'><div>x</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-52af0759-a5d4-4f72-b5af-2c00c28d0f26' class='xr-index-data-in' type='checkbox'/><label for='index-52af0759-a5d4-4f72-b5af-2c00c28d0f26' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Float64Index([-179.75, -179.25, -178.75, -178.25, -177.75, -177.25, -176.75,\n",
" -176.25, -175.75, -175.25,\n",
" ...\n",
" 175.25, 175.75, 176.25, 176.75, 177.25, 177.75, 178.25,\n",
" 178.75, 179.25, 179.75],\n",
" dtype=&#x27;float64&#x27;, name=&#x27;x&#x27;, length=720))</pre></div></li><li class='xr-var-item'><div class='xr-index-name'><div>y</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-61344b9e-a942-4534-81f8-fdea1bd2521f' class='xr-index-data-in' type='checkbox'/><label for='index-61344b9e-a942-4534-81f8-fdea1bd2521f' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Float64Index([ 89.75, 89.25, 88.75, 88.25, 87.75, 87.25, 86.75, 86.25,\n",
" 85.75, 85.25,\n",
" ...\n",
" -85.25, -85.75, -86.25, -86.75, -87.25, -87.75, -88.25, -88.75,\n",
" -89.25, -89.75],\n",
" dtype=&#x27;float64&#x27;, name=&#x27;y&#x27;, length=360))</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-f72ed40a-4e6a-45de-84e9-b1314c6b4c74' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-f72ed40a-4e6a-45de-84e9-b1314c6b4c74' class='xr-section-summary' title='Expand/collapse section'>Attributes: <span>(0)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'></dl></div></li></ul></div></div>"
],
"text/plain": [
"<xarray.Dataset>\n",
"Dimensions: (band: 408, x: 720, y: 360)\n",
"Coordinates:\n",
" * band (band) datetime64[ns] 1982-01-31 1982-02-28 ... 2015-12-31\n",
" * x (x) float64 -179.8 -179.2 -178.8 -178.2 ... 178.8 179.2 179.8\n",
" * y (y) float64 89.75 89.25 88.75 88.25 ... -88.75 -89.25 -89.75\n",
" spatial_ref int64 ...\n",
"Data variables:\n",
" lai (band, y, x) float32 dask.array<chunksize=(408, 54, 54), meta=np.ndarray>\n",
" temp (band, y, x) float32 dask.array<chunksize=(408, 360, 720), meta=np.ndarray>"
]
},
"execution_count": 9,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"lai_array"
]
},
{
"cell_type": "code",
"execution_count": 10,
"id": "7d75ae4c-b7b3-47ed-a9bd-307120acb564",
"metadata": {},
"outputs": [],
"source": [
"del temp_array"
]
},
{
"cell_type": "markdown",
"id": "e6282987-6443-43c1-8fd2-4c99b7dd1477",
"metadata": {},
"source": [
"## Clip Global north (Item 1.0)"
]
},
{
"cell_type": "code",
"execution_count": 11,
"id": "a68efafa-240a-4452-b7c0-e4ea2adf1741",
"metadata": {},
"outputs": [],
"source": [
"min_lat = 0\n",
"max_lat = +90\n",
"\n",
"min_lon = -180\n",
"max_lon = +180"
]
},
{
"cell_type": "markdown",
"id": "111a961b-3e35-4ba3-a769-fe00e09cde02",
"metadata": {},
"source": [
"For LAI"
]
},
{
"cell_type": "code",
"execution_count": 12,
"id": "44a3b2f3-defb-450b-8be0-ac0c5de64695",
"metadata": {},
"outputs": [],
"source": [
"lai_array['lai_north'] = lai_array['lai'].rio.clip_box(minx=min_lon, miny=min_lat, maxx=max_lon, maxy=max_lat)"
]
},
{
"cell_type": "code",
"execution_count": 13,
"id": "e3b4b7d0-7b52-40f2-be03-2a81e4dcd05c",
"metadata": {},
"outputs": [],
"source": [
"lai_array['temp_north'] = lai_array['temp'].rio.clip_box(minx=min_lon, miny=min_lat, maxx=max_lon, maxy=max_lat)"
]
},
{
"cell_type": "markdown",
"id": "7446ff46-8138-46fa-991e-e1b43501b18a",
"metadata": {},
"source": [
"See if crop worked"
]
},
{
"cell_type": "code",
"execution_count": 14,
"id": "3445c353-575a-4fe2-b7ac-067dcbeaf07f",
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"<matplotlib.collections.QuadMesh at 0x2b0054f59330>"
]
},
"execution_count": 14,
"metadata": {},
"output_type": "execute_result"
},
{
"data": {
"image/png": 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"text/plain": [
"<Figure size 2100x1400 with 2 Axes>"
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"plt.style.use('dark_background')\n",
"factor = 7\n",
"plt.figure(figsize=[(factor*3),(factor*2)])\n",
"lai_array['lai_north'].sel(band='1982-01-31').plot(cmap='cividis')"
]
},
{
"cell_type": "code",
"execution_count": 15,
"id": "7216e613-8fc0-488a-b3cd-989996bd5f8e",
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"<matplotlib.collections.QuadMesh at 0x2b005e6927a0>"
]
},
"execution_count": 15,
"metadata": {},
"output_type": "execute_result"
},
{
"data": {
"image/png": 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",
"text/plain": [
"<Figure size 2100x1400 with 2 Axes>"
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"plt.style.use('dark_background')\n",
"factor = 7\n",
"plt.figure(figsize=[(factor*3),(factor*2)])\n",
"lai_array['temp_north'].sel(band='1982-01-31').plot(cmap='cividis')"
]
},
{
"cell_type": "markdown",
"id": "8694578d-656c-4dfa-8744-21e7bafac0a1",
"metadata": {},
"source": [
"## Define growing season (Item 1.1)"
]
},
{
"cell_type": "markdown",
"id": "15c1cef5-c88d-4b73-b7a7-de72b2d88c6b",
"metadata": {},
"source": [
"### Aggregate all north, across all years, using median values, to be robust to outliers"
]
},
{
"cell_type": "code",
"execution_count": 16,
"id": "6c16b16e-530d-4181-9561-2784c14b0569",
"metadata": {},
"outputs": [],
"source": [
"lai_agg_time_xy = lai_array['lai_north'].groupby(\"band.dayofyear\").median(dim=\"band\").median(dim='x').median(dim='y')"
]
},
{
"cell_type": "code",
"execution_count": 17,
"id": "47c42d7f-3dc0-4c3f-9f71-4a3546f0bfd7",
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"[<matplotlib.lines.Line2D at 0x2b005e1b3f40>]"
]
},
"execution_count": 17,
"metadata": {},
"output_type": "execute_result"
},
{
"data": {
"image/png": 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"text/plain": [
"<Figure size 640x480 with 1 Axes>"
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"lai_agg_time_xy.plot.line()"
]
},
{
"cell_type": "markdown",
"id": "a41887fb-3dfb-473f-9fca-0907a5f2fd94",
"metadata": {},
"source": [
"Plot LAI values"
]
},
{
"cell_type": "code",
"execution_count": 18,
"id": "2f21fc24-5f0a-4f81-9558-fe1a8ba3d417",
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"array([ 15.5 , 16.5 , 16.5 , 19. , 20.5 , 30.25, 31.75, 53.5 ,\n",
" 53. , 90.5 , 90. , 113. , 111.5 , 116.5 , 116. , 78. ,\n",
" 78.5 , 46.75, 48.5 , 23. , 23. , 18. , 17.5 ],\n",
" dtype=float32)"
]
},
"execution_count": 18,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"lai_agg_time_xy.values"
]
},
{
"cell_type": "markdown",
"id": "8401bffd-583a-44b0-b138-e50966d0cb3e",
"metadata": {},
"source": [
"Plot DOY (regarding the LAI vector)"
]
},
{
"cell_type": "code",
"execution_count": 19,
"id": "b41f01bf-1f2b-4e4a-9f13-a2a47ab5637a",
"metadata": {},
"outputs": [
{
"data": {
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"</style><pre class='xr-text-repr-fallback'>&lt;xarray.DataArray &#x27;dayofyear&#x27; (dayofyear: 23)&gt;\n",
"array([ 31, 59, 60, 90, 91, 120, 121, 151, 152, 181, 182, 212, 213, 243,\n",
" 244, 273, 274, 304, 305, 334, 335, 365, 366])\n",
"Coordinates:\n",
" spatial_ref int64 0\n",
" * dayofyear (dayofyear) int64 31 59 60 90 91 120 ... 305 334 335 365 366</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.DataArray</div><div class='xr-array-name'>'dayofyear'</div><ul class='xr-dim-list'><li><span class='xr-has-index'>dayofyear</span>: 23</li></ul></div><ul class='xr-sections'><li class='xr-section-item'><div class='xr-array-wrap'><input id='section-bbed3677-63f2-4e16-b94b-3e0bce2949a7' class='xr-array-in' type='checkbox' checked><label for='section-bbed3677-63f2-4e16-b94b-3e0bce2949a7' title='Show/hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-array-preview xr-preview'><span>31 59 60 90 91 120 121 151 152 ... 244 273 274 304 305 334 335 365 366</span></div><div class='xr-array-data'><pre>array([ 31, 59, 60, 90, 91, 120, 121, 151, 152, 181, 182, 212, 213, 243,\n",
" 244, 273, 274, 304, 305, 334, 335, 365, 366])</pre></div></div></li><li class='xr-section-item'><input id='section-b715c5fd-7f47-46fc-a08b-7d39d589d1b2' class='xr-section-summary-in' type='checkbox' checked><label for='section-b715c5fd-7f47-46fc-a08b-7d39d589d1b2' class='xr-section-summary' >Coordinates: <span>(2)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span>spatial_ref</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>int64</div><div class='xr-var-preview xr-preview'>0</div><input id='attrs-b92ecf72-2891-4ba0-bd49-003282b22bce' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-b92ecf72-2891-4ba0-bd49-003282b22bce' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-350fe886-0b09-4354-8fcc-f1014977ce21' class='xr-var-data-in' type='checkbox'><label for='data-350fe886-0b09-4354-8fcc-f1014977ce21' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>crs_wkt :</span></dt><dd>GEOGCS[&quot;WGS 84&quot;,DATUM[&quot;D_unknown&quot;,SPHEROID[&quot;WGS84&quot;,6378137,298.257223563]],PRIMEM[&quot;Greenwich&quot;,0],UNIT[&quot;Degree&quot;,0.0174532925199433],AXIS[&quot;Longitude&quot;,EAST],AXIS[&quot;Latitude&quot;,NORTH]]</dd><dt><span>semi_major_axis :</span></dt><dd>6378137.0</dd><dt><span>semi_minor_axis :</span></dt><dd>6356752.314245179</dd><dt><span>inverse_flattening :</span></dt><dd>298.257223563</dd><dt><span>reference_ellipsoid_name :</span></dt><dd>WGS84</dd><dt><span>longitude_of_prime_meridian :</span></dt><dd>0.0</dd><dt><span>prime_meridian_name :</span></dt><dd>Greenwich</dd><dt><span>geographic_crs_name :</span></dt><dd>WGS 84</dd><dt><span>grid_mapping_name :</span></dt><dd>latitude_longitude</dd><dt><span>spatial_ref :</span></dt><dd>GEOGCS[&quot;WGS 84&quot;,DATUM[&quot;D_unknown&quot;,SPHEROID[&quot;WGS84&quot;,6378137,298.257223563]],PRIMEM[&quot;Greenwich&quot;,0],UNIT[&quot;Degree&quot;,0.0174532925199433],AXIS[&quot;Longitude&quot;,EAST],AXIS[&quot;Latitude&quot;,NORTH]]</dd><dt><span>GeoTransform :</span></dt><dd>-180.0 0.5 -0.0 90.0 -0.0 -0.5</dd></dl></div><div class='xr-var-data'><pre>array(0)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>dayofyear</span></div><div class='xr-var-dims'>(dayofyear)</div><div class='xr-var-dtype'>int64</div><div class='xr-var-preview xr-preview'>31 59 60 90 91 ... 334 335 365 366</div><input id='attrs-ff05cda9-7926-45bd-8229-dee7d778477d' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-ff05cda9-7926-45bd-8229-dee7d778477d' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-2e8e0e5b-0ce4-4063-8abe-46ca8cac292a' class='xr-var-data-in' type='checkbox'><label for='data-2e8e0e5b-0ce4-4063-8abe-46ca8cac292a' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([ 31, 59, 60, 90, 91, 120, 121, 151, 152, 181, 182, 212, 213, 243,\n",
" 244, 273, 274, 304, 305, 334, 335, 365, 366])</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-7adf0e3f-1275-490e-9d03-d28e6acf867b' class='xr-section-summary-in' type='checkbox' ><label for='section-7adf0e3f-1275-490e-9d03-d28e6acf867b' class='xr-section-summary' >Indexes: <span>(1)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-index-name'><div>dayofyear</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-fc04cfd7-79d1-40eb-a95a-6f94ecfe36e3' class='xr-index-data-in' type='checkbox'/><label for='index-fc04cfd7-79d1-40eb-a95a-6f94ecfe36e3' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Int64Index([ 31, 59, 60, 90, 91, 120, 121, 151, 152, 181, 182, 212, 213,\n",
" 243, 244, 273, 274, 304, 305, 334, 335, 365, 366],\n",
" dtype=&#x27;int64&#x27;, name=&#x27;dayofyear&#x27;))</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-ec7d9461-c86b-49cd-8ebd-2233ff33cee7' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-ec7d9461-c86b-49cd-8ebd-2233ff33cee7' class='xr-section-summary' title='Expand/collapse section'>Attributes: <span>(0)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'></dl></div></li></ul></div></div>"
],
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"<xarray.DataArray 'dayofyear' (dayofyear: 23)>\n",
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"Coordinates:\n",
" spatial_ref int64 0\n",
" * dayofyear (dayofyear) int64 31 59 60 90 91 120 ... 305 334 335 365 366"
]
},
"execution_count": 19,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"lai_agg_time_xy.dayofyear"
]
},
{
"cell_type": "code",
"execution_count": 20,
"id": "868923c7-a33f-45b3-8c4d-99f25f653bd9",
"metadata": {},
"outputs": [],
"source": [
"del lai_agg_time_xy"
]
},
{
"cell_type": "markdown",
"id": "26e9b18b-f739-4690-8484-22f7b07eaa51",
"metadata": {},
"source": [
"Interpreting the curve, it is possible to define that the **growing season** (in DOY, for all north) is where the **LAI is greater than 30** and:\n",
"\n",
"- **Starts** in DOY = 90\n",
"- **Ends** in DOY = 334\n",
"\n",
"We will use these parameters to threshold all datasets."
]
},
{
"cell_type": "markdown",
"id": "abb6c20d-b472-4842-9ed5-e2aa9ffc9af5",
"metadata": {},
"source": [
"### Create mask for growing season on LAI"
]
},
{
"cell_type": "markdown",
"id": "de63297d-86a8-4351-b467-cc2214b6da11",
"metadata": {},
"source": [
"Only retain values above 30, in all data (lat,lon,band)"
]
},
{
"cell_type": "code",
"execution_count": 21,
"id": "a328c687-934b-4ee8-8569-e755bdfd9d93",
"metadata": {},
"outputs": [],
"source": [
"lai_array['lai_north_masked_30'] = lai_array['lai_north'].where(lai_array['lai_north'] > 30)"
]
},
{
"cell_type": "code",
"execution_count": 22,
"id": "24300ce2-d840-434d-a77b-c978f6232a3c",
"metadata": {},
"outputs": [],
"source": [
"lai_array['temp_north_masked_30'] = lai_array['temp_north'].where(lai_array['lai_north'] > 30)"
]
},
{
"cell_type": "markdown",
"id": "1ff7ddbb-b047-46c1-92b6-ab5466a92fa0",
"metadata": {},
"source": [
"## Calculate annual averages (Item 1.2)"
]
},
{
"cell_type": "markdown",
"id": "d2f64fb8-6b19-4c57-8169-2373addaabbd",
"metadata": {},
"source": [
"### For LAI"
]
},
{
"cell_type": "code",
"execution_count": 23,
"id": "f47da793-bfd9-4450-8203-31a4eb20abf5",
"metadata": {},
"outputs": [
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"\n",
".xr-sections {\n",
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"\n",
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"\n",
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"\n",
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" grid-column: 2;\n",
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"\n",
".xr-array-data,\n",
".xr-array-in:checked ~ .xr-array-preview {\n",
" display: none;\n",
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"\n",
".xr-array-in:checked ~ .xr-array-data,\n",
".xr-array-preview {\n",
" display: inline-block;\n",
"}\n",
"\n",
".xr-dim-list {\n",
" display: inline-block !important;\n",
" list-style: none;\n",
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"\n",
".xr-dim-list li {\n",
" display: inline-block;\n",
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" margin: 0;\n",
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"\n",
".xr-dim-list:before {\n",
" content: '(';\n",
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"\n",
".xr-dim-list:after {\n",
" content: ')';\n",
"}\n",
"\n",
".xr-dim-list li:not(:last-child):after {\n",
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"\n",
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"\n",
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"\n",
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".xr-var-item label,\n",
".xr-var-item > .xr-var-name span {\n",
" background-color: var(--xr-background-color-row-even);\n",
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"\n",
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" padding-right: 5px;\n",
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".xr-var-list > li:nth-child(odd) > div,\n",
".xr-var-list > li:nth-child(odd) > label,\n",
".xr-var-list > li:nth-child(odd) > .xr-var-name span {\n",
" background-color: var(--xr-background-color-row-odd);\n",
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"\n",
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"\n",
".xr-var-dims {\n",
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"\n",
".xr-var-dtype {\n",
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" color: var(--xr-font-color2);\n",
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" grid-column: 4;\n",
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"\n",
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" display: none;\n",
" background-color: var(--xr-background-color) !important;\n",
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".xr-var-attrs-in:checked ~ .xr-var-attrs,\n",
".xr-var-data-in:checked ~ .xr-var-data,\n",
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"\n",
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"\n",
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"\n",
".xr-icon-database,\n",
".xr-icon-file-text2,\n",
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" display: inline-block;\n",
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"</style><pre class='xr-text-repr-fallback'>&lt;xarray.DataArray &#x27;lai_north_masked_30&#x27; (band: 408, y: 360, x: 720)&gt;\n",
"dask.array&lt;where, shape=(408, 360, 720), dtype=float32, chunksize=(408, 198, 54), chunktype=numpy.ndarray&gt;\n",
"Coordinates:\n",
" * band (band) datetime64[ns] 1982-01-31 1982-02-28 ... 2015-12-31\n",
" * x (x) float64 -179.8 -179.2 -178.8 -178.2 ... 178.8 179.2 179.8\n",
" * y (y) float64 89.75 89.25 88.75 88.25 ... -88.75 -89.25 -89.75\n",
" spatial_ref int64 0\n",
"Attributes: (12/16)\n",
" STATISTICS_MAXIMUM: 540\n",
" STATISTICS_MEAN: 87.72932166302\n",
" STATISTICS_MINIMUM: 0\n",
" STATISTICS_STDDEV: 134.37581892842\n",
" bands: 408\n",
" band_names: Band 1,Band 2,Band 3,Band 4,Band 5,Band 6,Band...\n",
" ... ...\n",
" file_type: ENVI Standard\n",
" header_offset: 0\n",
" interleave: bsq\n",
" lines: 360\n",
" map_info: Geographic Lat/Lon, 1, 1, -180, 90, 0.5, 0.5,W...\n",
" samples: 720</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.DataArray</div><div class='xr-array-name'>'lai_north_masked_30'</div><ul class='xr-dim-list'><li><span class='xr-has-index'>band</span>: 408</li><li><span class='xr-has-index'>y</span>: 360</li><li><span class='xr-has-index'>x</span>: 720</li></ul></div><ul class='xr-sections'><li class='xr-section-item'><div class='xr-array-wrap'><input id='section-4f758970-cbf0-4f30-9187-3b7c3a7adc07' class='xr-array-in' type='checkbox' checked><label for='section-4f758970-cbf0-4f30-9187-3b7c3a7adc07' title='Show/hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-array-preview xr-preview'><span>dask.array&lt;chunksize=(408, 54, 54), meta=np.ndarray&gt;</span></div><div class='xr-array-data'><table>\n",
" <tr>\n",
" <td>\n",
" <table style=\"border-collapse: collapse;\">\n",
" <thead>\n",
" <tr>\n",
" <td> </td>\n",
" <th> Array </th>\n",
" <th> Chunk </th>\n",
" </tr>\n",
" </thead>\n",
" <tbody>\n",
" \n",
" <tr>\n",
" <th> Bytes </th>\n",
" <td> 403.42 MiB </td>\n",
" <td> 16.64 MiB </td>\n",
" </tr>\n",
" \n",
" <tr>\n",
" <th> Shape </th>\n",
" <td> (408, 360, 720) </td>\n",
" <td> (408, 198, 54) </td>\n",
" </tr>\n",
" <tr>\n",
" <th> Dask graph </th>\n",
" <td colspan=\"2\"> 56 chunks in 16 graph layers </td>\n",
" </tr>\n",
" <tr>\n",
" <th> Data type </th>\n",
" <td colspan=\"2\"> float32 numpy.ndarray </td>\n",
" </tr>\n",
" </tbody>\n",
" </table>\n",
" </td>\n",
" <td>\n",
" <svg width=\"220\" height=\"150\" style=\"stroke:rgb(0,0,0);stroke-width:1\" >\n",
"\n",
" <!-- Horizontal lines -->\n",
" <line x1=\"10\" y1=\"0\" x2=\"50\" y2=\"40\" style=\"stroke-width:2\" />\n",
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"\n",
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"\n",
" <!-- Text -->\n",
" <text x=\"110.000000\" y=\"120.000000\" font-size=\"1.0rem\" font-weight=\"100\" text-anchor=\"middle\" >720</text>\n",
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"</svg>\n",
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"</table></div></div></li><li class='xr-section-item'><input id='section-de46cb1e-479a-4553-985e-f50220dc28be' class='xr-section-summary-in' type='checkbox' checked><label for='section-de46cb1e-479a-4553-985e-f50220dc28be' class='xr-section-summary' >Coordinates: <span>(4)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>band</span></div><div class='xr-var-dims'>(band)</div><div class='xr-var-dtype'>datetime64[ns]</div><div class='xr-var-preview xr-preview'>1982-01-31 ... 2015-12-31</div><input id='attrs-16b0e1af-6bf6-4b05-af83-3c197374dcfa' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-16b0e1af-6bf6-4b05-af83-3c197374dcfa' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-a7530fce-e28c-49e6-9e7d-48710bd9fb3b' class='xr-var-data-in' type='checkbox'><label for='data-a7530fce-e28c-49e6-9e7d-48710bd9fb3b' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([&#x27;1982-01-31T00:00:00.000000000&#x27;, &#x27;1982-02-28T00:00:00.000000000&#x27;,\n",
" &#x27;1982-03-31T00:00:00.000000000&#x27;, ..., &#x27;2015-10-31T00:00:00.000000000&#x27;,\n",
" &#x27;2015-11-30T00:00:00.000000000&#x27;, &#x27;2015-12-31T00:00:00.000000000&#x27;],\n",
" dtype=&#x27;datetime64[ns]&#x27;)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>x</span></div><div class='xr-var-dims'>(x)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>-179.8 -179.2 ... 179.2 179.8</div><input id='attrs-110898d7-0b92-4faa-b972-84f9aaa8e280' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-110898d7-0b92-4faa-b972-84f9aaa8e280' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-30e4e0c1-d6a9-45a7-831e-2d49d1c0992b' class='xr-var-data-in' type='checkbox'><label for='data-30e4e0c1-d6a9-45a7-831e-2d49d1c0992b' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>axis :</span></dt><dd>X</dd><dt><span>long_name :</span></dt><dd>longitude</dd><dt><span>standard_name :</span></dt><dd>longitude</dd><dt><span>units :</span></dt><dd>degrees_east</dd></dl></div><div class='xr-var-data'><pre>array([-179.75, -179.25, -178.75, ..., 178.75, 179.25, 179.75])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>y</span></div><div class='xr-var-dims'>(y)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>89.75 89.25 88.75 ... -89.25 -89.75</div><input id='attrs-312c1fad-3e28-42da-ba20-a391c07bacd6' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-312c1fad-3e28-42da-ba20-a391c07bacd6' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-6281a0da-b9a2-4d85-9786-9083b6a1005a' class='xr-var-data-in' type='checkbox'><label for='data-6281a0da-b9a2-4d85-9786-9083b6a1005a' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>axis :</span></dt><dd>Y</dd><dt><span>long_name :</span></dt><dd>latitude</dd><dt><span>standard_name :</span></dt><dd>latitude</dd><dt><span>units :</span></dt><dd>degrees_north</dd></dl></div><div class='xr-var-data'><pre>array([ 89.75, 89.25, 88.75, ..., -88.75, -89.25, -89.75])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>spatial_ref</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>int64</div><div class='xr-var-preview xr-preview'>0</div><input id='attrs-d7487f7c-313f-4eb3-bf1f-1d64d8e0aeab' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-d7487f7c-313f-4eb3-bf1f-1d64d8e0aeab' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-26230d31-6499-47ef-9b38-4e683d909333' class='xr-var-data-in' type='checkbox'><label for='data-26230d31-6499-47ef-9b38-4e683d909333' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>crs_wkt :</span></dt><dd>GEOGCS[&quot;WGS 84&quot;,DATUM[&quot;D_unknown&quot;,SPHEROID[&quot;WGS84&quot;,6378137,298.257223563]],PRIMEM[&quot;Greenwich&quot;,0],UNIT[&quot;Degree&quot;,0.0174532925199433],AXIS[&quot;Longitude&quot;,EAST],AXIS[&quot;Latitude&quot;,NORTH]]</dd><dt><span>semi_major_axis :</span></dt><dd>6378137.0</dd><dt><span>semi_minor_axis :</span></dt><dd>6356752.314245179</dd><dt><span>inverse_flattening :</span></dt><dd>298.257223563</dd><dt><span>reference_ellipsoid_name :</span></dt><dd>WGS84</dd><dt><span>longitude_of_prime_meridian :</span></dt><dd>0.0</dd><dt><span>prime_meridian_name :</span></dt><dd>Greenwich</dd><dt><span>geographic_crs_name :</span></dt><dd>WGS 84</dd><dt><span>grid_mapping_name :</span></dt><dd>latitude_longitude</dd><dt><span>spatial_ref :</span></dt><dd>GEOGCS[&quot;WGS 84&quot;,DATUM[&quot;D_unknown&quot;,SPHEROID[&quot;WGS84&quot;,6378137,298.257223563]],PRIMEM[&quot;Greenwich&quot;,0],UNIT[&quot;Degree&quot;,0.0174532925199433],AXIS[&quot;Longitude&quot;,EAST],AXIS[&quot;Latitude&quot;,NORTH]]</dd><dt><span>GeoTransform :</span></dt><dd>-180.0 0.5 -0.0 90.0 -0.0 -0.5</dd></dl></div><div class='xr-var-data'><pre>array(0)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-2e074467-b17f-4ef4-9904-e1b6c935464c' class='xr-section-summary-in' type='checkbox' ><label for='section-2e074467-b17f-4ef4-9904-e1b6c935464c' class='xr-section-summary' >Indexes: <span>(3)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-index-name'><div>band</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-f88e2c78-4086-4d2c-8fa6-7035c6a56811' class='xr-index-data-in' type='checkbox'/><label for='index-f88e2c78-4086-4d2c-8fa6-7035c6a56811' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(DatetimeIndex([&#x27;1982-01-31&#x27;, &#x27;1982-02-28&#x27;, &#x27;1982-03-31&#x27;, &#x27;1982-04-30&#x27;,\n",
" &#x27;1982-05-31&#x27;, &#x27;1982-06-30&#x27;, &#x27;1982-07-31&#x27;, &#x27;1982-08-31&#x27;,\n",
" &#x27;1982-09-30&#x27;, &#x27;1982-10-31&#x27;,\n",
" ...\n",
" &#x27;2015-03-31&#x27;, &#x27;2015-04-30&#x27;, &#x27;2015-05-31&#x27;, &#x27;2015-06-30&#x27;,\n",
" &#x27;2015-07-31&#x27;, &#x27;2015-08-31&#x27;, &#x27;2015-09-30&#x27;, &#x27;2015-10-31&#x27;,\n",
" &#x27;2015-11-30&#x27;, &#x27;2015-12-31&#x27;],\n",
" dtype=&#x27;datetime64[ns]&#x27;, name=&#x27;band&#x27;, length=408, freq=None))</pre></div></li><li class='xr-var-item'><div class='xr-index-name'><div>x</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-ea1f5c06-7202-4fb3-81f5-23f70d656c70' class='xr-index-data-in' type='checkbox'/><label for='index-ea1f5c06-7202-4fb3-81f5-23f70d656c70' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Float64Index([-179.75, -179.25, -178.75, -178.25, -177.75, -177.25, -176.75,\n",
" -176.25, -175.75, -175.25,\n",
" ...\n",
" 175.25, 175.75, 176.25, 176.75, 177.25, 177.75, 178.25,\n",
" 178.75, 179.25, 179.75],\n",
" dtype=&#x27;float64&#x27;, name=&#x27;x&#x27;, length=720))</pre></div></li><li class='xr-var-item'><div class='xr-index-name'><div>y</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-c78c098e-3c66-478b-95db-fd62ef799faf' class='xr-index-data-in' type='checkbox'/><label for='index-c78c098e-3c66-478b-95db-fd62ef799faf' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Float64Index([ 89.75, 89.25, 88.75, 88.25, 87.75, 87.25, 86.75, 86.25,\n",
" 85.75, 85.25,\n",
" ...\n",
" -85.25, -85.75, -86.25, -86.75, -87.25, -87.75, -88.25, -88.75,\n",
" -89.25, -89.75],\n",
" dtype=&#x27;float64&#x27;, name=&#x27;y&#x27;, length=360))</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-b79f3833-f8a1-4cc0-8ebe-4c60647e5a6a' class='xr-section-summary-in' type='checkbox' ><label for='section-b79f3833-f8a1-4cc0-8ebe-4c60647e5a6a' class='xr-section-summary' >Attributes: <span>(16)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'><dt><span>STATISTICS_MAXIMUM :</span></dt><dd>540</dd><dt><span>STATISTICS_MEAN :</span></dt><dd>87.72932166302</dd><dt><span>STATISTICS_MINIMUM :</span></dt><dd>0</dd><dt><span>STATISTICS_STDDEV :</span></dt><dd>134.37581892842</dd><dt><span>bands :</span></dt><dd>408</dd><dt><span>band_names :</span></dt><dd>Band 1,Band 2,Band 3,Band 4,Band 5,Band 6,Band 7,Band 8,Band 9,Band 10,Band 11,Band 12,Band 13,Band 14,Band 15,Band 16,Band 17,Band 18,Band 19,Band 20,Band 21,Band 22,Band 23,Band 24,Band 25,Band 26,Band 27,Band 28,Band 29,Band 30,Band 31,Band 32,Band 33,Band 34,Band 35,Band 36,Band 37,Band 38,Band 39,Band 40,Band 41,Band 42,Band 43,Band 44,Band 45,Band 46,Band 47,Band 48,Band 49,Band 50,Band 51,Band 52,Band 53,Band 54,Band 55,Band 56,Band 57,Band 58,Band 59,Band 60,Band 61,Band 62,Band 63,Band 64,Band 65,Band 66,Band 67,Band 68,Band 69,Band 70,Band 71,Band 72,Band 73,Band 74,Band 75,Band 76,Band 77,Band 78,Band 79,Band 80,Band 81,Band 82,Band 83,Band 84,Band 85,Band 86,Band 87,Band 88,Band 89,Band 90,Band 91,Band 92,Band 93,Band 94,Band 95,Band 96,Band 97,Band 98,Band 99,Band 100,Band 101,Band 102,Band 103,Band 104,Band 105,Band 106,Band 107,Band 108,Band 109,Band 110,Band 111,Band 112,Band 113,Band 114,Band 115,Band 116,Band 117,Band 118,Band 119,Band 120,Band 121,Band 122,Band 123,Band 124,Band 125,Band 126,Band 127,Band 128,Band 129,Band 130,Band 131,Band 132,Band 133,Band 134,Band 135,Band 136,Band 137,Band 138,Band 139,Band 140,Band 141,Band 142,Band 143,Band 144,Band 145,Band 146,Band 147,Band 148,Band 149,Band 150,Band 151,Band 152,Band 153,Band 154,Band 155,Band 156,Band 157,Band 158,Band 159,Band 160,Band 161,Band 162,Band 163,Band 164,Band 165,Band 166,Band 167,Band 168,Band 169,Band 170,Band 171,Band 172,Band 173,Band 174,Band 175,Band 176,Band 177,Band 178,Band 179,Band 180,Band 181,Band 182,Band 183,Band 184,Band 185,Band 186,Band 187,Band 188,Band 189,Band 190,Band 191,Band 192,Band 193,Band 194,Band 195,Band 196,Band 197,Band 198,Band 199,Band 200,Band 201,Band 202,Band 203,Band 204,Band 205,Band 206,Band 207,Band 208,Band 209,Band 210,Band 211,Band 212,Band 213,Band 214,Band 215,Band 216,Band 217,Band 218,Band 219,Band 220,Band 221,Band 222,Band 223,Band 224,Band 225,Band 226,Band 227,Band 228,Band 229,Band 230,Band 231,Band 232,Band 233,Band 234,Band 235,Band 236,Band 237,Band 238,Band 239,Band 240,Band 241,Band 242,Band 243,Band 244,Band 245,Band 246,Band 247,Band 248,Band 249,Band 250,Band 251,Band 252,Band 253,Band 254,Band 255,Band 256,Band 257,Band 258,Band 259,Band 260,Band 261,Band 262,Band 263,Band 264,Band 265,Band 266,Band 267,Band 268,Band 269,Band 270,Band 271,Band 272,Band 273,Band 274,Band 275,Band 276,Band 277,Band 278,Band 279,Band 280,Band 281,Band 282,Band 283,Band 284,Band 285,Band 286,Band 287,Band 288,Band 289,Band 290,Band 291,Band 292,Band 293,Band 294,Band 295,Band 296,Band 297,Band 298,Band 299,Band 300,Band 301,Band 302,Band 303,Band 304,Band 305,Band 306,Band 307,Band 308,Band 309,Band 310,Band 311,Band 312,Band 313,Band 314,Band 315,Band 316,Band 317,Band 318,Band 319,Band 320,Band 321,Band 322,Band 323,Band 324,Band 325,Band 326,Band 327,Band 328,Band 329,Band 330,Band 331,Band 332,Band 333,Band 334,Band 335,Band 336,Band 337,Band 338,Band 339,Band 340,Band 341,Band 342,Band 343,Band 344,Band 345,Band 346,Band 347,Band 348,Band 349,Band 350,Band 351,Band 352,Band 353,Band 354,Band 355,Band 356,Band 357,Band 358,Band 359,Band 360,Band 361,Band 362,Band 363,Band 364,Band 365,Band 366,Band 367,Band 368,Band 369,Band 370,Band 371,Band 372,Band 373,Band 374,Band 375,Band 376,Band 377,Band 378,Band 379,Band 380,Band 381,Band 382,Band 383,Band 384,Band 385,Band 386,Band 387,Band 388,Band 389,Band 390,Band 391,Band 392,Band 393,Band 394,Band 395,Band 396,Band 397,Band 398,Band 399,Band 400,Band 401,Band 402,Band 403,Band 404,Band 405,Band 406,Band 407,Band 408</dd><dt><span>byte_order :</span></dt><dd>0</dd><dt><span>coordinate_system_string :</span></dt><dd>GEOGCS[&quot;GCS_WGS_1984&quot;,DATUM[&quot;D_unknown&quot;,SPHEROID[&quot;WGS84&quot;,6378137,298.257223563]],PRIMEM[&quot;Greenwich&quot;,0],UNIT[&quot;Degree&quot;,0.017453292519943295]]</dd><dt><span>data_type :</span></dt><dd>4</dd><dt><span>description :</span></dt><dd>L:\\NDVIseason\\LAI\\glasss\\GLASS_LAI_82_15_montlhy0_5deg.envi</dd><dt><span>file_type :</span></dt><dd>ENVI Standard</dd><dt><span>header_offset :</span></dt><dd>0</dd><dt><span>interleave :</span></dt><dd>bsq</dd><dt><span>lines :</span></dt><dd>360</dd><dt><span>map_info :</span></dt><dd>Geographic Lat/Lon, 1, 1, -180, 90, 0.5, 0.5,WGS-84</dd><dt><span>samples :</span></dt><dd>720</dd></dl></div></li></ul></div></div>"
],
"text/plain": [
"<xarray.DataArray 'lai_north_masked_30' (band: 408, y: 360, x: 720)>\n",
"dask.array<where, shape=(408, 360, 720), dtype=float32, chunksize=(408, 198, 54), chunktype=numpy.ndarray>\n",
"Coordinates:\n",
" * band (band) datetime64[ns] 1982-01-31 1982-02-28 ... 2015-12-31\n",
" * x (x) float64 -179.8 -179.2 -178.8 -178.2 ... 178.8 179.2 179.8\n",
" * y (y) float64 89.75 89.25 88.75 88.25 ... -88.75 -89.25 -89.75\n",
" spatial_ref int64 0\n",
"Attributes: (12/16)\n",
" STATISTICS_MAXIMUM: 540\n",
" STATISTICS_MEAN: 87.72932166302\n",
" STATISTICS_MINIMUM: 0\n",
" STATISTICS_STDDEV: 134.37581892842\n",
" bands: 408\n",
" band_names: Band 1,Band 2,Band 3,Band 4,Band 5,Band 6,Band...\n",
" ... ...\n",
" file_type: ENVI Standard\n",
" header_offset: 0\n",
" interleave: bsq\n",
" lines: 360\n",
" map_info: Geographic Lat/Lon, 1, 1, -180, 90, 0.5, 0.5,W...\n",
" samples: 720"
]
},
"execution_count": 23,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"lai_array['lai_north_masked_30']"
]
},
{
"cell_type": "markdown",
"id": "78c6248e-7445-4df5-9fc3-08cf2d34dbe0",
"metadata": {},
"source": [
"Test averaging and select a month for display"
]
},
{
"cell_type": "code",
"execution_count": 24,
"id": "9d26860c-3b33-40fd-86a7-84330776f6a0",
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"<matplotlib.collections.QuadMesh at 0x2b0055c6d4e0>"
]
},
"execution_count": 24,
"metadata": {},
"output_type": "execute_result"
},
{
"data": {
"image/png": 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IiNY7X3zxBX7/+9/jsMMOw/777x94rb6+Hscdd1wgtumss85CsVh0H7gaY1AoFAJ/2Z9KpXDuuedWLKv8L+NXxhhTEbFz9NFHY9NNNw38NXZfmjFjBmbMmIFdd9214ouQ3uqryKbXX38d8+fPx7hx4/DAAw+450855RTU1dV1+0VKT3z5y1/G6NGjA7FNZ511FlpbW/HWW28BsNsll8sFpttoo41wwgknrNYy0+k03njjDXzjG9/AlVde6bZ5bW0tjjvuuB7NYyAim8rNnz8f8+fPBwD8/Oc/R3t7O+64447A64cddhhGjRrlxgOAr3zlKwCAuXPnuue0MuLQQw/FN77xDTzzzDNdLrMv/qk7YKsfbr/9dvzlL3/BhRde2OU4TU1Nq1x5c9BBB2H58uVdVsgQEREREZHFLySIiIho0Kuvr8eUKVMwadIkfPTRR2hra8OYMWNw5JFHVnyYvXTpUvy///f/sNlmm2HGjBk4+uijcfHFF+OWW27BF198AQD4xz/+ge9973uYNGkSbrvtNmywwQb4r//6ry4//H3vvfdwxhln4LTTTsOnn36KTCaD999/v8t2Pv744xg3bhw++ugjvPvuu9hzzz1x5ZVXuuX2l29961t48skn8dRTT+HPf/4z5s2bh2HDhmHHHXfEHnvsgdNOO2215jt16tQ+aV+pVMJVV12Fv/zlL/jDH/6Ae++9F9tuuy1+/etf45lnnsHTTz8dGN8YgxdeeAGHHHLISuc9f/58PProo/jJT36CBQsW4JxzzsERRxyBq666yv1/iMcffxwnn3wyfv/73+Ohhx7Cl770JVx77bVYsGBB4C/2V8W1116Lp556Cs8++yyuv/56RKNRfP/730dHR4eLilqRBQsWVMRv9cbJJ58MANhqq60A2C+T9P9gPPzww268K6+8EgsXLsTnn3+OjTbaCKeddhpOPPFEnHvuuYEvHn7/+9/j7LPPxrPPPotf/vKX7n9IXHPNNVi4cKH7XywA8NBDD+Hoo4/Gz3/+cyxbtgz77LOPe621tTVQFdOdzTbbDGPGjAFg/y9K+TrNmTPH7YunnHIK7rjjDkybNg233nor9t5778B83n777Yovn8L+/ve/45133sG0adOwbNkyjBo1CuPGjcPBBx+MSy+9NPBFZU/bRURERES0Phnw/6zNH/7whz/84Q9/+NOfP4lEwtxyyy1m2rRpprm52XR0dJgPP/zQXHfddaaqqsqNN2XKFPPee++Zr371q+aNN94wnZ2dZt68eebnP/+5iUajgXmOGzfOfPjhh6azs9N88skn5vvf/745//zzjTHGbL755m68zTbbzDz11FOmpaXFGGPM7NmzDQCz+eabG2OMGTt2rBu3oaHB/PGPfzQLFy407e3t5l//+pfZf//9zZQpU8yUKVPceF1Nu7IfneZ73/tel6/vsssu5r777jMLFy402WzWzJ8/3zz33HPm4osv7vE8+vvnjDPOMNOmTTOZTMbMnz/fTJw40dTU1ATGqampMcYYM2nSpJXOb/bs2eaxxx4z3/jGN8x7771nMpmM+fTTT01jY2PFuFdddZX59NNPTWdnp5k+fbq54IILzHXXXWeMzcByP8YYc9NNN3W5rD/96U+B54499li3PnPmzDFXXXVVl/NcEz8rUj7etddea2bOnGk6OztNU1OTeeKJJ8wBBxzQ5Tx322038/DDD5vPP//cHSe33Xab2XTTTXu87PL9fkU/Y8eO7XYe5f3+pz/9aYXLKz92u/u58sorzeuvv26WLVtm8vm8WbJkiXnyySfN0Ucfvdrt4g9/+MMf/vCHP/zhD3/Wlx9PfiEiIiJa702ZMgXDhw/HLrvsMtBNodV01FFH4fHHH8euu+7abSUKERERERERDYzIQDeAiIiIiKivHHLIIbjvvvv4ZQQREREREdFaiP9DgoiIiGgdF41GV/h6qVSCTd4Z/K666qqBbgIRERERERF1gxUSREREROKQQw5Z5+KaNt98cxQKhRX+/PjHPx7oZhIRERERERGB/0OCiIiIaB0Wj8cxevToFY4zf/58LFiwYA21iIiIiIiIiKhr/EKCiIiIiIiIiIiIiIj6HSObiIiIiIiIiIiIiIio3/GfWndh1KhRaGtrG+hmEBERERERERER0Tqkrq4O8+fPH+hmrNOSySQSicRAN6PP5XI5ZLPZgW7GgOMXEiGjRo3CvHnzBroZREREREREREREtA7aZJNN+KXEakomk+jsmAsvOnygm9LnFixYgC233HK9/1KCX0iEaGXEJptswioJIiIiIiIiIiIi6pG6ujrMmzePnyn2QiKRgBcdDrPkeMB0DHRz+o5Xg403fhSJRIJfSAx0A9ZWbW1tPHkQERERERERERERrWmmAzDpgW4F9QP+U2siIiIiIiIiIiIiIup3rJAgIiIiIiIiIiIiorVHyQCmNNCt6DueGegWrDVYIUFERERERERERERERP2OX0gQEREREREREREREVG/4xcSRERERERERERERETU7/g/JIiIiIiIiIiIiIho7WGM/Rk0BtO69A4rJIiIiIiIiIiIiIiIqN/xCwkiIiIiIiIiIiIiIup3/EKCiIiIiIiIiIiIiIj6Hf+HBBERERERERERERGtPfg/JAYtVkgQEREREREREREREVG/4xcSRERERERERERERETU7/iFBBERERERERERERER9Tv+DwkiIiIiIiIiIiIiWmsYg0H3bxe8gW7AWoIVEkRERERERERERERE1O/4hQQREREREREREREREfU7fiFBRERERERERERERET9jl9IEBERERERERERERFRv+M/tSYiIiIiIiIiIiKitYYxEcAMpr+lH0zr0jvsCSIiIiIiIiIiIiIi6nf8QoKIiIiIiIiIiIiIiPodv5AgIiIiIiIiIiIiIqJ+x/8hQURERERERERERERrDWO8QfY/JLyBbsBaYzBtVSIiIiIiIiIiIiIiWkvxCwkiIiIiIiIiIiIiIup3/EKCiIiIiIiIiIiIiIj6Hf+HBBERERERERERERGtNUomMsj+h8RgWpfeYU8QEREREREREREREVG/4xcSRERERERERERERETU7/iFBBERERERERERERER9Tv+DwkiIiIiIiIiIiIiWmsY/g+JQYs9QURERERERERERERE/Y5fSBARERERERERERERUb/jFxJERERERERERERERNTv+D8kiIiIiIiIiIiIiGitwf8hMXixJ4iIiIiIiIiIiIiIqN/xCwkiIiIiIiIiIiIiIup3/EKCiIiIiIiIiIiIiIj6Hb+QICIiIiIiIiIiIiKifsd/ak1EREREREREREREaw1jPMB4A92MPjSY1qV3WCFBRERERERERERERET9jl9IEBERERERERERERFRv+MXEkRERERERERERERE1O/4PySIiIiIiIiIiIiIaK1hTAQwg+lv6QfTuvQOe4KIiIiIiIiIiIiIiPodv5AgIiIiIiIiIiIiIqJ+xy8kiIiIiIiIiIiIiIio3/F/SBAREXVl6xPscNYjA9sOIiIiIiIiovVMyXiA8Qa6GX1oMK1L77BCgoiIiIiIiIiIiIiI+h2/kCAiIiIiIiIiIiIion7HyCYiIqKuMKqJiIiIiIiIiKhP8QsJIiIiIiIiIiIiIlprGEQAM4jCfbxBtC69xJ4gIiIiIiIiIiIiIqJ+t858IRGNRvGzn/0Mn376KdLpNGbNmoVrr70Wnhf8D+XXXXcd5s2bh3Q6jSlTpmCnnXYaoBYTERERDaCtjrc/O55rf4iIiIiIiIgG2DrzhcT3v/99XHLJJRg/fjx23HFHXHXVVbjyyisxYcIEN85VV12F7373uxg/fjzGjBmDhQsX4tlnn0Vtbe0AtpyIiIiIiIiIiIiIiNaZ/yHxla98BY888gieeOIJAMBnn32GM888E3vttZcbp7GxEf/zP/+DyZMnAwDGjh2LRYsW4ayzzsJtt93W5XwTiQSSyaR7XFdX149rQURERERERERERES0flpnvpB46aWXcMkll2DbbbfFzJkzMXr0aBxwwAFobGwEAGy55ZbYeOON8cwzz7hpcrkcXnzxRey3337dfiHxwx/+ED/5yU/WwBoQEQ0S255ih/oPmUwJmPlQz6ff/gyZXiL3SkU7nPFA37SPiKxPHx3oFhAREREREa0WYzzAeCsfcV0xmNall9aZLyR+9atfoaGhAR999BGKxSKi0Sh+9KMf4b777gMAjBw5EgCwaNGiwHSLFi3C5ptv3u18f/GLX+C3v/2te1xXV4d58+b1wxoQEREREREREREREa2/1pkvJE4//XScc845OOusszB9+nTstttumDhxIubPn4+7777bjWeMCUzneV7Fc+VyuRxyuVy/tZuIiIiIiIiIiIiIiNahLyT+7//+D7/85S9x//33AwDef/99bL755vjhD3+Iu+++GwsXLgRgKyX0dwAYMWJERdUEERH1wqrEM3Xl4/uCj3c4s3fzIyIiIiIiIiKidUJkoBvQU9XV1SiVSoHnisUiIhG7CrNnz8aCBQtw+OGHu9fj8TgOOuggvPLKK2u0rURERERERERERES0eozxBt0PWetMhcRjjz2GH/3oR/j8888xffp07L777vjud7+LO++8040zceJEXH311Zg5cyZmzpyJq6++Gul0GpMmTRrAlhMRERERERERERER0TrzhcSECRPws5/9DLfccgtGjBiB+fPn49Zbb8V///d/u3F+/etfo6qqCrfccguGDh2K119/HUcccQTa29sHsOVERLRCH9070C3oH9ueEnzc26grIiIiIiIiIqJ1nAeg+//4vB6qq6tDa2sr6uvr0dbWNtDNISKidRW/kCAiIiIiIlqv8HPF3tM+bJl5ElBKD3Rz+k6kGg3bTua+gXWoQoKIiIiIiIiIiIiIBj9jIoBZZ/798coNpnXpJX4hQURE1B9YEUFEREREREREFMCvZoiIiIiIiIiIiIiIqN/xCwkiIiIiIiIiIiIiIup3jGwiIiIiIiIiIiIiorWGMQCMN9DN6DtmoBuw9mCFBBERERERERERERER9Tt+IUFERERERERERERERP2OX0gQEREREREREREREVG/4xcSRERERERERERERLTWMMYbdD+r4rrrroMxJvCzYMGCinHmzZuHdDqNKVOmYKeddgq8nkgkcOONN2LJkiVob2/HI488gk022aTX26a3+IUEEREREREREREREdFa5P3338fIkSPdzy677OJeu+qqq/Dd734X48ePx5gxY7Bw4UI8++yzqK2tdeNMnDgRJ510Es444wwccMABqK2txeOPP45IZGC/EogN6NKJiIiIiIiIiPrbDmfaoScfg+RagVmPdD2OMXb48X1rpm1ERLTeqKurCzzOZrPI5XJdjlsoFLBo0aIuX2tsbMT//M//YPLkyQCAsWPHYtGiRTjrrLNw2223ob6+HhdccAHOPfdcPP/88wCAc845B1988QW+9rWv4ZlnnunDtVo1rJAgIiIiIiIiIiIiIupn8+bNQ2trq/v54Q9/2O242267LebNm4dPP/0U9957L7bccksAwJZbbomNN9448KVCLpfDiy++iP322w8AsOeeeyKRSATGWbBgAd5//303zkBhhQQRERERERERERERUT/bZJNN0NbW5h5ns9kux3v99ddx3nnnYcaMGdhoo41wzTXX4JVXXsGXv/xljBw5EgAqqicWLVqEzTffHAAwcuRIZLNZNDc3V4yj0w8UfiFBRERERERERIPbR/dWPrfzhXZYKtphXj4gmvnQyue31fF2+Omjq9aObU6yQy/a82UREa2HVucfQa/NPFmXtra2wBcS3Xnqqafc7++//z5effVVzJo1C2PHjsVrr70GADAaMajL8LyK5yra0YNx+hsjm4iIiIiIiIiIiIiI1lLpdBrvvfcett12WyxcuBAAKiodRowY4aomFi5ciGQyiSFDhnQ7zkDhFxJERERERERERERERGupRCKBHXfcEQsWLMDs2bOxYMECHH744e71eDyOgw46CK+88goAYOrUqcjlcoFxRo4ciZ133tmNM1AY2UREREREREREA2fHc4FI3P4+/c6Vj7/rBDuUyIlU3H60kZk6ERh9qX0t2yTjlOwwmrTDeIMddi4E0ovt76sau1Q+zbYn+8+VCnY465HguFsdD0Rl/TB44kcGhZ5Eb61uPBcRUS/83//9Hx577DF8/vnnGDFiBK655hrU19fjrrvuAgBMnDgRV199NWbOnImZM2fi6quvRjqdxqRJkwAAra2tuOOOO3D99ddj2bJlaGpqwm9+8xu89957eO655wZy1fiFBBERERERERERERGtPQbb/5DAKq7LpptuinvvvRfDhw/HkiVL8Nprr2HffffF559/DgD49a9/jaqqKtxyyy0YOnQoXn/9dRxxxBFob29387jiiitQKBTwwAMPoKqqCs8//zzGjRuHUqnUp6u2qviFBBERERERERERERHRWuLMM89c6Tg//elP8dOf/rTb17PZLC677DJcdtllfdm0XuMXEkREa5utT7DDcKk3EREREdHaZoez7bCYsUMvaoczHuh+mh3PtcNCpx2aEhBJ2N9Hj5eRQlFLxay/jFyzHUrMUwbV/rzfvSW0jLTMLm+HnQvscObDwE7nB8f98J5gO3e5BIhV+cvXtpYtG17En3e+zQ63Oy04bjQOeLHQdPJYI6a03dS/NGJr5sN26MlfLO86AYjIvtsp/+y1mAuOS0REfYL/1JqIiIiIiIiIiIiIiPodKySIiIiIiIiIiIiIaK1hEIEZVH9LP5jWpXc8AGagG7E2qaurQ2trK+rr69HW1jbQzSEiIiIiIiIaWBptpJFEkRiQ2lB+l5ibXKsdevKBS6koE5eAfEdwfvE6eUkimIwBYtXB6TXCKS0RS7EUkJf4pUS9PFcTnK8X6b/oo90a7XDaxMrXNGZK4380tqr845Zpv+ufdhHRWoWfK/ae9uGSD86AKXUOdHP6jBepwoY73cd9A/xqhoiIiIiIiIiIiIiI1gB+IUFERERERERERERERP2O/0OCiPrWVsfbYTTuPzfz4YFpCxERERERrb7dG+2woNFKBTss5YF8u/09XiuvSTxRXGKUChKz0bkImPWI/V3vFUpNwWk+fdRf5nan2aGLZUrJsA5IbSTTSzvevXm1VgsAsNvliEft32jmp97QzTiNfkSTxjF1RduxolgnIiJaJcZ4MGYF5951zWBal15ihQQREREREREREREREfU7fiFBRERERERERERERET9jpFNRNQ725xkh7FqOyxm7XDmQ5XjbnuyHXpRO5zxwMrnv+3JjHwiIuores7+ZPLAtoOIiNYN7XPtMDkMAOBVDQcAmM6lQDQZHDcika2ZpXb40V/913YaqyPZQawqOM3o8X4clD4XkXuGeJ0d5jsqopC8Pa6wzfNs9FNmatnru9vX8HYojmn0pe7XiqgmjVzSVA1j3HOa2GSwAoxqIiIiWil+IUFEREREREREREREaw3+D4nBi5FNRERERERERERERETU7zyspOJwfVNXV4fW1lbU19ejra1toJtDtPbSsmstqS502qEp2uHH9635NhERERERrW92b7TDQgYo5ezvsRo7bPvMDuMSr5oc5senRiQwQSONdrvcDqf9zv9d41g9O25twg4LBsiU5C89SxK1VMoHxnUZR8UsEEnIMmXZpaKMau8lTLHgt0vnh1JwPfV1AF405k8HAO/cZIejLwXevQVd0jgm/QjElPw2x1LynAmuSyRu+6OXvD2ucLFSRcmDqo7Yx3HppkwJaP/PxC6nr93Ltj0h48YiwJK8J6uh6yP3YdrHb3c9rz4xerwsU/r/vT+sYFyJyOpuuxANMvxcsfe0Dxe9fxZMqXOgm9NnvEgVNtp5EvcNsEKCiIiIiIiIiIiIiIjWAH4hQURERERERERERERE/Y7/1JqIVt0OZ/vl4JGkHRYz8qLUEW97MjDz4TXetEFh21PscOZDla9tfYIdznpkzbWHiIiIiNZeGsLsRfxoJI3v+fTRitHje14BAC5CqD0cZQT4cUuhKJ728gcS6xSP2Y8V8kWJCtL7gmiVzCvqz09jXiXWSROS4rEYCpo8pJFPXYVLS5yTKV9n2EgkwMYXud/fuiE0sZvIDiJRPwZKX1qFeCbtx7qIwfKiF2zX28Fl10cNNHCqTZKoqiLBFayOeijs2QjAj3XSPqmN2okWZu3zXsRDTFYjL32bivqRVgCQAfyYKt0mK4pWWgFd1/xUu14a3dWek5XZ+WKgIPEjH90bnJhRTUS0mvhPrQcvVkgQEREREREREREREVG/4xcSRERERERERERERETU7zx0XQi53tL/5M7/eE7UhR3OtMNYHVDKy5NSppuXAu7exjRtdbwddlFeTmW2O80OZzwwsO0gIiIiGmx2nWCHnv79nkQsSFwQIjHEo/a5fD5rn1tLY2lSEgGUlZgIk2tzsU7xuI1ezRflel7Xt1Twf9ehZhGV9YEzbaIduugnZdw84jKbfNE+5/qv2MXHETI/F72ko5QK/j1INBVcdlckUgomtH76+J2bKqdx217ijzzPpU25dsh6xSOyDiUDt4/Iaw3SPS3S3FTUj2Gqk6imnMyvXdK14hEPUZlet1eNjNteDMZ8pCLGjaPRTTrftpIf9+RinfK2IfF4XNrsr4uuhy47Kd1UHgCVlvF1Hew6oywFy6uIqRpMttjP7ktzXvEjvWr3agQAJEIJLE1vTlxDraK1FT9X7D3tw4XvnQ1T6hzo5vQZL1KFkbv8lfsG+D8kiIiIiIiIiIiIiGgtwv8hMXgxsomIiIiIiIiIiIiIiPodKySIqOc+urfyOY1x8qKVr62OrqKatj7BDmc9ElxmV+1ZXzCqiYi6Ez5nEhH1tW1PtkO9/jOSOdPb6M61xLCEXS+NvskXNKbIX9/81C7ifrqb35hGAKsX5RLf08YWRWFc/I5G/ODtlc8vMzU4jrfHFS56yI/tCUdSlV3Xu6imnB1qNNVO5wPJIfb3nS8OzEbVSixT1vjLarCJQWgpuAXYSSMRmLck8kein0wpFBMVjfv7nEQ1NUjfaouXFz3UR+106ZI2yP4dZrVEGrW8abdd7V6NkCYiK+3L6DT5DjuMV7uEJ9cH0p68RkBFU3AxtgU7XQtqpU/s/IoAGqRdGRlVo36GyacyTQWDgheMahoSt8NwO2ujQL1nX9Nuqo7ZXyLSXUvfmIhq6R8k7UJa8pqx5Mdpab/EZRktEg+V9Pxl677n9geJedJpW4uA2flC+9r7t6PcyH1s3FFO+nZdijQasU8jAKBVordG7Xs5MtI/Grm1Ouuz2X6Xoz1v55N2+5682IPjmohoXccKCSIiIiIiIiIiIiIi6neskCAiIiIiIiIiIiKitQb/h8Tg5cHV6hHg/yf3+q9cgba2VqAo/819fY6GIaIV2+YkO/xk8sC2Q3XXnm1PscOZD63Z9oRtd5odxmrkCalPNiWgIOdcjX5QPelbjY8YJHERRERE6wy9xlADfa2xGjT6p2jKIpFK8ss7NuLH28PGJ5lSCZj2ux7PU6Nwlr4xsY9aK3a37fGjlmLA2zd0OWpqT9uWIryyCCr5+8SizaOJx22eUr5YclFDcYnmyUsukHs89QZg1wl2ehfjY4OTvIgNYoiVfe5SkFH0uXzRPjE8YR8vzcHFMGlMVX6qXReNzSmUKuNxdL38OCsPtdHgRxwdEhWkzdTXs8ZDVD4OyeQljimz1A4TQ2TdCkC83rYrGvwgSdcBnoe4ZE9ozJFqL/rT6DgbxkuBcZryGn+ECrorVkk0UnPBH1df0/0rHN2ULnguVkj7PynL0KZ3lPyIK4290vm2StvLt2M+2PTAOhXkg7bFWZl56BjR6LK2kue27arQbT1MYqzmv1Z5DGo8lPZ71vRuWRp5tvUBlwEAZr1040qn3Wy/y5GSPp3x75WPX0Eiy/R4AADseK4dfnjPqs+P1jj3uWJ9Pdra2ga6Oesk7cP575wLU+oc6Ob0GS9ShVG73sN9A4xsIiIiIiIiIiIiIiKiNYBfSBARERERERERERERUb9jZFMIS6v62M4X2uH7tw9sO4hW19Yn2OGsR/p23DVhIKKkdjrfDvNy/owm7bCY9eMbdjjTDj2JCTBS+13K++Xx79+26svWKCgX9+Stk5ERREREtObU7tUIAEhILE0RQEtB44rscxrrk5VIGlMsuHgi5FrtcPqd3S5DI4iqJXanRWKHhu/diKUZG5/kxWxcknmr5/EyLlZGIomGxUxFpFGF3RuBosQTRSUv6W2ZRqNiTNGPLo7XyXOa1SMd5XlIyfpkJP8nHrUdli+WAo+TnnF9p32QldnVy+Xg4tcnukgf1VTQRdlpN4qXXGRRrXS/xmtp3FGxbN7aLw0SYdSS148+NIPIoFbyiNpDaaEN0q7WouciizT2yBSytg0J23/tBQCFtH1Rrn0bEraBGoMU8eBifNKyDhqnVC/ta8p7GCK/10gsUUsu4qYHgOUybRTGxS8pjWHSfTld8vtFpw+vJ+BHMmmUVaf0m8ZEAYCsDlokXmpYwnby3Ix9oTpi3H7drdGX2mE04T6FaojLfFcwbXi/0H7MlTzkQ1FUrYXg45W2qczwvRtdPyVk3ee+amOhNtvPRkF9/srKo9p6S89J5dpzsmLv3myHq/k5i8bIbZi0269dtqceV8mIvx+1/2fiKs2bfPxcsfe0D+dOO2/QRTZtutvd3DfACgkiIiIiIiIiIiIiIloD+IUEERERERERERERERH1O0Y2hbC0ajXs3lj2QGocjexWhXY7XNXIptHjg4+1NLEru06ww3duWrVl0PpLo33UjAf6Zr7bnmKH5TFB+pyWxn/6aN8sa0W2Oj74OCq10MW834a1LV6KiIhoZXa+2A5XJ9aPqDu72zglvC1RSbs3Iq65LSI/NRSjtNvlQEmyb1Z0nxJahqe3ShrLtNvlGBa3T6Y1ZqjQRaaO8uzfE6aidpqi3HvlSxKZFPEq2xqS2rPRTacRREOjGhmki/FjinR+GjtV/jhfDH2U4Cch2XGknfliCV7Ett3IfWJK/jRSI4WqYwZzM/bBKImTKUjMU0H6pq3koUHaqlE9LoZJO7eQASJy7asxngWJ+0jUh9rrYYSkVmnUT3n8lesTvaeV+CqN8spLu1IRUxHrpDFWwyU/KeL5cUt1EgdUK7FMdRJ/1JGLwPPscx0Fu5CYPI7JMmVTI+YBrflg9JNGNenjVMSfXvtSp9ddPBX1264y0m3LpA0bxEpu+fUJjfqxTyzO2okzUye66Yfv3WjXT/owXfRkXBnBFP3PCyCd6Nnop5GyY+RKHhpkWUuykcD6adtjnnHrpRFL+lglymKndLoqaVdU+iYl8Vwdec81KybTdRaC84t4fnyV9mVbTo8nWc/X/b4Yta+Nepr/WjDqKb7nFS4KbpjsB9q+uCy7LR9BtbRVY6qS8jgnfdoi/V+C55arywzvM815z8Vy6Ws630zRP9Z0PZa+4a8HrRp+rth7jGwa/GID3QAiIiIiIiIiIiIiImWMBxP6onGdNpjWpZcY2URERERERERERERERP2OkU0hLK0K2mw/W+4XARCV0kEtUSxKdaVW6uZL/jd9pdBelZPX0kUgK98Iarlvas9GAECmpGN7aJBSxBYpkUzJsl0paHlMlFbpSo2jlllqqW/58rVdWh6blvlnSkD7f+y8tcRRSxWHSKnojH/fiMFoy/0vA2BLQtfbskyNOOpJnNL2Z9hhPg3EUvb3vop8ojVvq+PXTIwWEREFheKX9Jrz81d+564NRyY1gsOOqtdz1VFTEWuiNLIitWdjIEKEaLXs1miH0yZWvib3I8Mkc6DpzcpxXMxRweYBeVE7ciAiSaOG9KZG76M0bigSDSwHAOrlXibn3+44fpyNHc555XeVI3VDj8OSAea+2vV03h52nZKe6f4YC0eWJuqAiKxAJClDeRy1mUme58EUJNPHRS5pnE9EBhGYvER3ROU6XDosHrXj5EvGvyHMNsnyh8h8ojKuf9+6QcwuQyNs9P4wEKFVkiyrqG37SFmFRRJbZErGj6vSKK9QvBbgbxN9Sm6rXcRS1AOS0o6sLL8qdA+u0TolAxfno+KhmKGqmEG22PVf4+p6xiJ+rJHeKyekDbp/VccMCnL+1XPv7Jcr7423OcDeV2qr9POBz9PyhPZNdqm/bVMjZOXt/rBZlZz3S/6+3CZt1f7S9c6VPEQQjL/Sdpa/b+g4JQTjnVQy6j9eKvFQkqRW0cdRzwQ+99C2Av42inrGb3s+GL2l2y8VNX5/R4PzKf+sQsepS0iMU86PANP56Hp+Lsf6dgdeFlhWTdyfVveRrrbfYFK7VyMAoD0jO98ajnrk54q9p334xdtjB11k05d2v4v7BlghQUREREREREREREREawC/kCAiIiIiIiIiIiIion7HyKaQ9bW0atOv2PJcLfnTnULLPcvLGLVEUUsKh6bsa/kiENdSUluVjKIJRiVFvMpvwTQKquhinTzUx+3MtcxQSwt12cmoQTRUfZqTcbW0tLxcOSPVoVqmqW1vyutKtQLRavv7uzejS7tf4UpLa6XeNhv6hzRJz29XSxdl2wOpPH4LqOx3z/NLeue/1vPSbkdjtHKtdljKAwUpkSxKR6+JaJwdzpZlSsm37s0zH+5+mm1PDj4uH3en8+3wgz/1SfP6zNYn2OGsRwa2HasjHJG1KpFZ/dUGIiLqPzuNBQCMrBvirsWq5doyHL0UgXHxFRozEZFx0nmZNu5fb7075aYeN0OvdzX+Q2NHNbaT1k5byDXsctn+GqWi9xexiB+HslrXsCsyerwddnd/0Jd2t1FIwyQiRu/LNEa2Ll5y92aR0H2Q9kWm6Lk4mna5rh+WCEbVJiLG3dtpnEw4tnWz/S5385yrSRmFDjt8//bVXUPLXXfLSsx8yH9er8E1IjVeb4dGbi6j1S7qSWOXNgzdNy4vekjK/qDxRxr1s1zG0dfLDZPzzXyJ7NHtUB3z43fK72kB/74qFvEjjcL3oho1ly2L19L2FHUo801Fgvu1XUbXkU2Fkh/dpefR8P4RiwQjgsqnT5Xd37fng89pTFH5euv6dRcBtrXENen4ADCn0zbaZFvkBbknLHQCySEAgOHVtQCABolJ7sj7MUN6n6r38vqeoLt/xAPymvxUFmkGAJ0yn/aC59ZLY4/0tXDkWW3cuONEP3/Q95pi2S6j20KTwXR9tY+iEYNZL608Emn43o0A/PNXIfTZQjgGG6iMhtN5tBfRZzGFGmHdm/OpfvaQihq05vwIMQBoytmdu6bsHKd9MERitz940b636/t2dcysVoS27pcaxZUtVUan6XkifHwvyfvbQ88Z+vmPeeuGFS53ff1csS9pH37+1rhBF9m02R5/5r4BVkgQEREREREREREREdEawC8kiIiIiIiIiIiIiIio3zGyKWR9Kq0ata9fihsuAVWu/LdkS0gBv4RTY486ZJqaaPflrOWlp1pqWZTpNWopEdVYJj/qSYVL9rMFz5VNGo2FCq2fllsuzRlbFloumtSJpYE5ICaRTbroYiE0TRwpKd2slf7Skmjtk2jE75dOVxaNQPt0XT58cdVLDruz5f62FFHjDmpiwd6Y/fKNrtw9GQse8h2uZNXD4tcnrnhBoy+1w3dv8Z/brdEOixk71L4FgI65dqjl1zucaYcf3euPs+O5dhiJ26Fuk95GJG13mh3OeKB38xmMtj8D8Fyxsx189Fc77GoblU8HAB/f16/NWysx4omIKGg3e12BzGI77Op9Q2jkQjJq/BgSjTyRa7vpL9h4hi32uxzVEsFSnwrGa+g1zBvPdB+fs8dhEwAA1UmDl57oWczOLodMcFEbGjuq7dPYjW0OuAyfhCM4dr7YDt+/rUfLodUzch+7/yRC19/psmtt3WdaJQpEIzkKZZe9c1/tfZyTt4eNVdooXnLxYyu9fl5Nut66nPKoJY2xbZFjQyOAUlF/nPD9lEbQZMvu91bUJ9sdaO8v9P6wPR+cX1vJQ37qimNLAvRaKi73XEazdobbYa7Fj/SJVcmwxg71PqFURCoek3bJfCUidlStnaa14KFaO0S0hm7rNNpm5D6XB+KNAKBW9qW0xFl5nnH3m9FQjI/KFT33Wt7FDPnbzY0nr2kMUzhOOBYB0rJeGrWldD46j1yx7PeyyCeg8h68/LkhEo2ktwLG+L9rO3Qf0fvWQgkVEUQ7HWTPtbqfGeMvTxer/dQkcTlL0xLnm14INGwNABguy9DIJr2HLo+b0jgfjVzSfbxQ8rdbNvQ5hn7WEI/6+346tA/rPl0ViqgCgOXSZo170nv6WMQgGurn7uKqAaBZllEvy2gt+AtJaByUPNY4uhZZl/zUG1wkUzhWrSv6XtuTc13tXna+XUUWrsoyu7ONRCWV78W63fTY0k8sPu+MYIsqjV6zz2l8VXmMmH7+o9t6Reup67BxjZ2hi/DKe+iU46a1qPuuzDjfDgDwEnX2+WwL4OmHOdKwiJxc9FwVrfLPV3n5/PD929erzxX7CyObBr/YykchIiIiIiIiIiIiIlozjPHcl8KDwmBal15iZBMREREREREREREREfU7RjaFuNKqvS9BW3vaLyF9exXKUddS23/Vls1pGWQq6pcbapmhlphGQl/apQueK+9UuuMUS37kkpZOa/loeYmqzldLI8OliXVSHttRiLjS51H7+iX+ADA3Y0vk8sWSK5NLxRN2HUpamyor844t/cfujRguVb7tWgIbD5Z7zn75RldWqH2SCkVTZQueiwooybea8dD6vTvlJoTtcogtZ9UyQe3bZMy4uKqolKG2S/ni56+sWkm5xjHNCU2n6wTAlThqubuul5bfbrHf5RXTdye+5xVIanyW9EVea1M16ioaAwoS45Rtkglr7XD6nXa488V+iaMrg5TCrWkT/QVqJIIpBKen1bPNSX5/awTRNifZoZbEdxV1tdP58ovsPB/c1W9NJCKitdzWJ9jhrEcqXvrywfbaJyPXhQ1Je43geTb+BACS8nbfmbPjVMs4Lz1xM3aX2KVo6DrrP89WRjDpuBrPodeyVTHjpn+zi+kAYLRco7VmIxXXQLseal9755+V13Z6Tf3xv+w1lMb4mFzHGotv0jidkkFllNRaYJsDLnPX1LpttJ16bVwy/nXxe6FraI0jLRqv4rpY96+8XkdHAA9+fCoAtGX9uB3A3v80y/44IqkRLCbQrnINYxoBAC1vTgTQswiTnsSl6HyrZNmJqH9NPv+1rqfTZaeixo3brjFKMhwp92kbVJWQ1SiraLBPdDt4nt/vLdnVu/folZ3G2mFUY5k07qSjcty4jWyqlXVpL3oYJvdjTbJtlEbQdJQ8DI0GY4Bmv2y3se5X+hgANpP7KL2V0aHeJ8YjfsRwOJYpXrYdw/fTej+scUMRz5+3xvZopFhRopuSnkGHm86+tkEoildjnrIl/z46HNGkMTeZoufH46EylgjwI48Af18Mj1O+T+94kH/uKZcr2r4qf+2TDnvjqbHHGpWFHc4EqjYCAMRlYZtXFaUNlXHMGqnkx5HZ5+tTBumcHxlVrlA2A/f5h7zv6PlCo4OWyjw2qymiWY4JjYvSfUj7pC0fcZ9b6H10+Lhe+LrfX+FziSo/R3YWgh2usWHN2Ui354W+NkzaWYTf1hH72OfCsXSb7Xd5xXlLx90gZV9IlMVq6Wcn+nmIvhbX/bTguT7IhT6P0ijqplwEdTE9JoMbW6OyuopH0+cWZmxnt+dy/mcTmlWm56JodfB5L4oGuTVuycoBnltmh7rDJYf7DdE4p/QC1NVUofUtxvL0hn42+9nU8wddZNPme/6J+wZYIUFERERERERERERERGsA/4cEEREREREREREREa01+D8kBi9GNoVoWdAWh/wAn7fmYDR+RmJktHprIymjKy/HW9fseNBlrvwxIqVsWvKoJXNtUsZYGzPISVmelnXmNGFHI4iixpWoaomjlsgVysro2gp+mSkAjHRl/H4JbL2URmp/a+mmlgZqTBTgl/xp6ea8TimzlJLQ7b96mauoC8cWVceDsUwAUJOQdsj6JeRru1zBH8eVkhp9bIfTX6gs69/r8PGBZeoB15SOuJJqXXctc82URTmVlxQDXZcad0djDLIFv5RR4wWUxjr1ttxfyzy1fNrb4wr/+Clm7VBjDHa+0A4jCcCTjtGIrV1tm72o7Xhj/H7J63YaiAi1Hc+1Q400itcDhXb5XaKo3p5oh7IOMAZ4t+uYiD5v14f3VL623Wl2GLPl7sg12+Enk7ufX3kExw5n2t8/urfXzVxr7HKJHb73h4FtBxHRILPpVy5HQ9K+Ueu11BvP2PdAvRbKFz0X0aDXcg1V9vGyDvv4vSk3Yf+j7PhVNpUTzz0SnE/E8+et9vyafe9NybVdJu9fK4ajRd5+vvJ6Lay7qIpyeg2l18KZoh8vpLGjet1cJ9e2bblIn8Tj6DVeT9alJ7Y54DK3HhpbqnEiK1qGxrdEvGAnG+Nfx+v1rl5r7qExW2WTaDRWeL12POgyt/3C0U9qp4MmuCgWvSZvkniOEdX2iRktURePM0TWb4Mq+5pev+u6LM/48U5J6QO9b9EYnfb/THTL16ig8ue6o7FOGidSHTXuPmBl1/Zb7He5i7HReyy9Z9Aom86Ch1o5BjRmyAttm+q4cdskLpfhH77Y8/sA3e/b855bj6ZQ5ExX1+ruXkHH1fsDI2vV1bXZ7jYOrTyySe+mNOqnOhTfUhUx7h5dj0O9510ucTx6v7Ll/pe5eyS9t9VjVrd1rgQk5LlWOa/EQtFE1TFTcZ7RfVEjlmKeccdYLnRvq88nIgZN+a73vY1TfryxjqvTaYSN3sNrWxqSJnCfW/6aThv14GKJ9Tm9D/7gxe6P/Z0Osseqgb/MihhiuS/XSLGFHTZ2JZ6swcbyfqHT6DZSsYh/jtB771gk2M5kzLgPKrXNur7ariFVJRTkNd3v23IaOWyHcyUNZljcwzBplx4bKRfZbB+35yo/TMwWg9uzs+RVRDSFlZ/bdLtpfIlXFvPVkrPPakyUnid039bIpPieV2CotDUcKdUTuj0LJc/1s/a7/5mM3173fiHHpotakvlpvFmx5KEmFP29XM7POk1D6HUA6MgHY+mqo8Bi7Xs9ZxRCMW/RKsAUg8+9e0vw8fZn+NOnRthhKWeHRdkR9NwEuJjwirhjtd1p/r12Wayxi4JnLM9q0z6c859vDrrIpi32upP7BhjZREREREREREREREREawC/kCAiIiIiIiIiIiIion7HyKYQV1q13/fQlilhhJSKL85IiZYn3+FI3dqwsv/C4cpPByJOpp9o6TLglylqCV+4VNVDWaSSCZZVqrZcBOlQSe/SNyYCsGXIgC1R1IgenV5LJsujl8IxTjpXHbe8nRoPoG0dXmeHnVKd15H1I5Xcesrjl56wkQAHHj3ela5rfFNEHqeznmuXtjER0+gnLYk2gXZ6nh9XsCRtZ6SlqjVSav3W8zetUkRTd/Y+Yrxb1tTngqW3vY1siu9pS6nzU4P7/bAxjVgu66590iDrpyWsw8Y0upJpnU9UTkkauQX4pfBaal+UXsznpYSyJ7FI25xkh4khQEQ3tkyvsVGJejvU6KWujL7U/72YscO4TFdIy+NqeT0HZJvs7x/fZ4c7jbVDLe0sLznV8tBYlR3m24Ptm/EAsNXx9vdqKTF9//bu27r9GXao6+n2PgOUZCfWjRMuP+0r2u+xlF/qqqW0xXz3y9b17K92UZ8ZvncjAD8+oipmXHm5nt+JaBDR2MUVvP/sd6REK4Wum2IRPzJDI0L0Oq4maYeZfFmUiEz/r3/Y9/ldD7WREvGocddXGt2p139tck0Wj6AiqkSvXTVyY8a/V+3aZ4xERunV7X+ete3SCKK3yqKNNHoozAOQKesPAHh3St/ELq2IRlpp/+h1cnkki66fxnOEY7FGHzLBvaaiGsukUadR/zW9pu7IBeOBNF7G8/zLEHc9r4kc8nw86v+ur+l8/SiVyngufUa3tef542t7NFosE4pxKY+O0fjaiGx1Xb90wVul97jN5D4nWhZRCwBtBQ/aZU2hiJftv2qv0bVvZr10o5tPOPZLo6DiZfdedbJ+4f1L5wt0H4PV1bz1/iQc/9oVbadaUUyZxqMBwHLZFkNDMTkaC7M052GYtKNVxk2E9smI54+vUVb5buJkPPixMeG4NRWL+NtN44E0uikn7auPGTeffCgqeLhsh3TRc+3SqC133+n594B6DZUK3b/q+ULb0lGIoDoavNcOn1dtjJL9Xc+Veg9dHtOk96l6XtVjpLxvwvG8Xz5YIpvKmqDRQ9pPy6WfWrJy0tPPUBJR1Mf1Xj24DtrOqrg/bx1D10vbbrPlA7N28XG5svcIvQ/WmOoO6WM95jVSuiFuKrbNEIkT0qjnTMGPNNLPPJZl/JhrwO5fus9VubYG2/nxv27EdgfaY1H730V6FStjofRY1XHC719b7n+Z+7xAj3E9VvV+P152ftZ+0m2u++uI2hKa5LMJ3RbanvJIr3BEUziCWvsvHvXf85SOUx4FFY69Sklb22XbVMeMO0ZH7mOPURefLtFuyDbDxSZpDFM4eni3RncvOkxO6HpsLU7Lvb3RN+kaIL3A/j7jATsM36NudTxQPdL+Hkm4xdTVpND6yv8xlqcX9LPZ2f/5JkxxEEU2RauwJSObALBCgoiIiIiIiIiIiIiI1gB+IUFERERERERERERERP2OkU0hLrLpwB+grXm5jVEB/CiVmQ/ZoZZqpTYA8lJmo3FOyWF2+N4f1kyjB4iWzZeXWqckwqpY9hzglzdHPL9UvC5ZWVIK2J1Sy+ZcyV48uJtGPGB5ZyQwjpbkVieCJdUGftl2Qtsn0+SlvPy1p2/G4SfaMvWMVPfFZdx/PmrL1Y8+ebyLeNLpOjQWoKxcVktC/TJF+0vWlbDa52uTxkUZLOuIyLrbF1NlUWBayqhlkBoPUE7LMrWEt7z8fm2nUV1zQqXcWhacM0Ct9GG7lHK2/2diYJymArqPWdKIpA/ussPRl6I2YcspO7RkWfqtWrbHiuanZetLcx4ynS0y7z8B8KNrXAn/9mf4UU1hu1xih3qOKaSBmQ/b33c40w6LssNFU3b40V8r57PtKXao56auXtNzk5aaUv/Y+gQ7nPVI7+e13WmDYns1yDHaEoqhIKK1zHan2aFGGoYjDrqgkURvP195zaGv+dFL5dEg9rlw5KZeE2lUJgB8/SR7bdYhl+GtnX6MRTiGRmOicnKN9p9nb3bXqu/8s2+vi3S+qnz+ex9h2xEN/dlXQdr15rM3r7DvVrUNVXGD155eeXTlV6R/MhKhUiPX4Z0u0si4mBXdNno9rnGfexw2wUWS6rbV+ek21vUulvxtrdskfD2eyXtufnptrtPofDJ5fxk6rs5Ho2dyRRsLC/gxNzp9i953JEyPoob6mkay5PXeoxSMYol5fvyPdFPFe+bWEreSLXqu3/2oHzvUCJuP/3UjdjnE7hvh2BfdDhHPn14jXrSdqxpjpm3T+x+NV9XoKI0Las977t5sRfFNKhwJ66KqOiMYrlE/XvCer+Tfjrl+0WgdjQz2I6Ag0/oRPeE4p/L5hftdjxVNhSsZ/zWdn27PurJjJryM5Vn7THVZTFi47RqNo+ugEZnJqHH9G6Zzi5Wdh3QdaiSCSF9rzXjueGmT9mhMTl3cjlseHaz3nXVJ+5re47ZlI+5+VaPOlslrG8SC26x8H9Ttp9FGGq0Wj5pABBxQef6KRIC0vD/o+WCZfEYwRNqXL3luntpdejxq29tlvh1FDy1Zuf+S+B3dV4bIPBqSpiLCWqPhXGRpDsC0iYG26z1kfVn/6/uYHkfaPj2ep79wE3Y6yB7Pen+vcc76eYFGL01/4SYXzVQVD37+oJ9HZAqeW4ZGUOnnNhrdVBU3gRguna58vsZURiIambMe++UxfJHQfqrb3m+fH+uksV/at4ukT/OFAhpkh6iSZQxL2YWkZX/LlYD5krq0da30gaxX+L0B8Pe11mwwamxOWrOpWhFPNQDwPy9oT8v9v34GGK8D4rX215jdKPliCXU1SbS+9CvG8vQCI5sGP1ZIEBERERERERERERFRv4utfBQiIiIiIiIiIiIiojXDwHMVOIPDYFqX3mFkU4iLbOqufGbni+0wu8wOowkgWmV/z7XaYawqOM2H97hftVRPSzmXam1aNG6HpQLwzroRt6PlwKpYsjFEgF9OqXFDGnGUipWVW2sUkUyv00Qi/ummpOWwJjhuLGr8klvpumw+2L6kPJ8r+ONoOXitJOBoGzpzwIuP23J3LbXXcZQxwOI2O0FDyi58eL19bcFyO2zPRfx2lZWbApWlvuW0RFL7SWOnSiUP2bK+03YAfhlkeSSVliC6MvqCP62W26u9Dh8feFwebZCQNr/ZRTzUQKjdqxEAkJD1Wl4MRi2NSJruy793teuUitkSz5gHtEuf1mosgMy3VeZbEzFunGHS701SPq+lsHM7I8jIOHGZQT4npYSrEte27cl2qHFNq2un8+3QFICSHAwFac+KIoTCkU/bnGSHn0zuXXvWZaMvtcOSHECFNiCftr/3RRzT+kD3a08OskEQP0W0PvH2sHEpOzcU8N6UFV+X6vWERh0Afsxkg1wSPy/xl/sdOd5dq/z7ieA1xhEn6Xwq445yejqW991//cOfdg+JP3rr+crrnJxEP4TjnboyRtZjbbn2WZkDjrbtjUX8a0vtF42v6qqvDz7WvqYRWRp3kooDaUkqcfGici2s19ivPHWzu07WOA1dtosQkuezBc9de2pclM5Xr7/LY53kMg3tGYnXkGiQfLHyPkAvpee32YkiHjD31eB14OrEdY0puzbWCKLwfrUiOx5krxHLY6I0kkQjenS+6bI4pUjodrxG41b0eleuy2sTxr/+l0mKctxpHNWOB12GD1/sOnZJ790SUf/+RPeRtEZ3ybgrWm+NdyoaP15l/mvB/te+0HuRfMnrNkZJp93uwMtcfIxGGdVKX/ixSsbtYzq9jqOnjWTMuHgq7Z9EKP4o4WJlPHe+0nutjnww4iUWMS4Spqs4J8Ce/zRmp036Uu/H3H1Z0UO1zFOjavWzAZUpeu4eZOOUHzlUTueXihoXPVQn9456rtOYn1jE38ba5hoZtzPvb3PdZzVqqTxaCQA2ri1WnBt1f9JxOvNexblb77112U2yXRMRg2bZfiPk84NaiYfS80N9yrj9sj4V7HddZr7or0c4KlqXnSl4LmpIY8yWZYLRz6o6ZjC3zcbpppI2hmektE9jrKpjxu1r9RILpeex8vt03Y9mvdT18bjTQRPc8TMkpe2zr2m0dWfeqziHaWSW7mcbVNk2VMWN+0xB10tjrLQvYhH/+Mm4c5N9XL5P6zlHt4Ufka3T+ucnlQ/FVrv9H37fqfDnInkDDJMoK+0THUfjzD5pM/49bsm+WTVU2w9jGmT7JiLGbQv9XKVV9umNqu0TnXnP9a/2t/bTx6167NthZupEFxfXlAuug34u0dS+zL/nrtnUDjsXoq6mCq1TGcvTG/rZ7Kf/uWDQRTZttdcd3DfAyCYiIiIiIiIiIiIiIloD+IUEERERERERERERERH1O0Y2haw0smm0lPK+20U5t0afVI20w4jUfZYKbvwR+zQCABa/PrHvGt2FbQ64zJUmZkPleCoRNa4EUMvttcxPn9dy52TMuEgl3WHCZZ/G+OWKWjqpZXBa3peIGdcOLaPT0uWIlIaWRxBpKaHGH6VlvjUJg4R2b1l0EVBZMpnOea4s2S8b9WRcvxxR2xOOi9J2RctK4rXNWprbISV8rdnKPDgtwdRlFaSPEzFTUe6rfayxVuXL8sth4doM+H1r2xicoU7reZWRTT2hpbhdxTXsLhEJb69CKXtvaVmzluWvyvGksU/t/+li3N3sfLU8M+b5MU4tEtWU2tNOn9QogrISX31Ox9WYKGSWAEZG1MgajQN695aVtrlHdjzXDktlO8ZH99rftz/DDouSx+B18R10MbRDaSTRVscDnz7aN21c12x3mh2mRthhl+d7iSQqz4DUbcBYp8ooMFq39STKTa+PCjbqwEsNAQCYt27ox4ZRX9FIAo0/1LiVD1+8EV8+2L6nTX+h6/d7vR6IRoyLytBrPb0qGTnEnisfmrR61wwa56TXfLGoH+Oky3r27/ZcvefXbHtW57qnK4cdb5etsVP9QSOW9K24KmGH0Qjw9OQVL/eQ4/yYoSmPBcfd/yj/tZeftK8dKuuj8VcpWVY277+jVSftUK+N2zN2+OpTN7v4Je33l54IRp6qaASolnl313f7HzUe2ULwuWToPxxGPD9OqKlT7mmkoRoxWpMwLqr1pSdWvp007qozF4xM1Zio8nsavZfRNmg8rTF+zEf4WliPn1jEuHH0fkLvbWJll2Qaj9IqcTZzQsdhwkUH+df6el+gUSp6v1d+za7Hrt6ruaifONAul4baDt339P4pFvWjusJRPQdK//37iZsxWu4V9FjXe8BPJKZGr91jZZdLc0Ixq1vI+SdX8vtCo5Y0vkrvmXJF/zWNVNL7Me1rD36/q3CMjEZDFUseQqk9iHrBNnz+yu9cZGsydE+qUXXRiHH7pdJ4II2EMsZz2y8cK6TRS50Fz73mzyfY9lxZNE59XI+B4Fro+m9YW3LHukYNf7Y0uC+Xt0PvabOh2JwhVSW88UxwP9Bzv9//QJvsw8VQp+o+3CRRSQtblrr7Eq9qOABgE4k/0vgpD8ZFNenxp/ur9lc84u972ta2rH//C9jtqecrbZduG51Wo6oWd6QRT9bYZWRa7IuenJTev80Od7kEo2qSgWVGQts+VRYvXR33+wfw96vl2YiLDtNYIv38RiVjfuxbJhR7pDFto8titHWddf1iofNFImrcNtaQ7HDMtB7Dunyg8vOIkgGaJV4vrhFQxWBkk65vZ8lzkUoas6aRYLqvt+Q9tMiOXisn33aZ3wjZH+riJReDpfuBnh90Ped2RDFSIqz0uNFjVPu2M+8f8xp3pesyp9Mue2uJdzLwo6jq5BjTayE9vy7PRNwxmZEZtxcM6mqSaH3pV4zl6QX9bHbWmxcOusimrcfczn0DrJAgIiIiIiIiIiIiIqI1gF9IEBERERERERERERFRv2NkU8hKI5t6QmNS4rV2WCoCiQb7e77VDqff2buGrk6zvmpLTbVUsVDyXPmkluhp/I8XKjtMxAyy+WD5o5afVkmJdGfeL7vTUkAtjUvJOLmysux2KafUktk6KRt97embcfCxthQ4Il+Z/TNU6r3fkeMRl+pJLSd+7Wk7zrGnjg8sq1AE2qTCS8sNtcxTyxAjnh+lpK9p+aJGNyVipiJmSssDdX09LxihBABZVy5oh2kpCU1EDVplupKUTGrZZjLqD7WcUpfdnLPTt0h7ozAYIX1XJW1e0mnH0VLmiAfEQyWb9TLNqkQuaWlifcqP8FqTkU1q5D62tHvh679byZirT+OgIgj2mw4X5fzvczeSEk4tVdUy1FS0sizdcZE/yus+3kbHnflwz1egnJ6TCnIgzHrERjIBfiyTxhRptNS2J8OFN6wvsTs7nG2HhbQdasTVivpdo4lM0R9fY7DW18grWqcN37sRS9+YaB9InB0yS+1Qj40VRTftfCEAIJ6sAwDkpzKyaa0mUVtb19vz1yyJWdn36/Z5vbYqp3E3ev2lEjE/FkgjXTQm44XHexd3dOrZ9vojk/OjL558ODhPjXV6piziSNvakxifgaDXrNqXGkeq13zZPPBiN313+Il2WmPKI0XhngOAhmo77Mj6cVcao1GbCk7z7N9vxlEn23lqHEYm778G2P7UvtT+1m28vN0ONe5jwzpTEYeq1+Z6fZ8r+Ous893uQHu/opEj9ckS5nfYi+tRNXaGdangtVky7veh3h+E7x0AuLgpjYXS9oTve+JRuCipXKEydkdpDJPeF4RjbeNR4/qy00X82Mcaz1oqee7eQ7fFBy/aa+udDprg2qM0FkjvnzRmtysaBabt0git8vsx3R9efcr211ePqdyv9LgeIxG/2p7lnRF4CMYbKY2T0fjXbMFz903a/xpBo/tJeWxvOBpJ5Uuei3+qk4ifWCiOp2j853So8wlHN8UjBu9KzJVe+1dHNU7GDmf8+0YXn6XbXCORdJmJqB8L5OKAZFl6fxD1TCDyBgBSui+6mGODbFHnbYcFGbde7jd02UOqSm6bZkIJrLqNhtd7SGclqiaHQLvcPT3sOQLw47k0gk1jmnY5ZIK7rw9HN2k0nOcBabm/f0vuD7fcXz5/kP2jXWOdDdCesw2qTdiV2Chl108jclJlfar7jsaPufijkue2re4Pusfouux66AS3TTTyR++5dduoVNS440W3Q7NM0y7HTTzquW1ipDPjocymoTHj7sOb5H6/PWOvoYZX2xPziKqiG78Q+ozCj3ny3GcSeg7RYyMc7VUyflyVTq/rouMWSv7nPkrPccWyp7Wf9fMa3Q7l98N6jtToL91ftQ1+PJMfNZcvixsD/M8qFmYiqI8F46uqQ/FVxbKYvE6Zt/btcGlvQ6rkziv6eYhua41nWpSOokGOJb3m0fcdPSZaZB02qCp1G1ep54tExPj7iG7Styf2zeeK6zlGNg1+sZWPQkRERERERERERES0hhgv8McA6zpvEK1LbzGyiYiIiIiIiIiIiIiI+h0jm0L6rbSqt5ErvbDNAbYE7RMpSVtdWqablTK41qz9PmtEra1NK5Y8VEu5nJa7/esftlTy6ydVlvdriWsk9LVYKu5HLGnZdXXSDstLvofU2EfL2zVayb6WlHgobUNnFohJmeLQWim97AiWrhaKfhlkLlS6qaW5yag/z4yUKGrpqsZWzW2JuCikVin1q5M+0b5JS2lhtui5csOWvMYvWU2uhNxzZbW1UtIYdaWEWm9dAjw75YiUHS5uW66tt4NYDYZLTfAyWeaG0vbl8nizqiJG1tmNoqXZYeXlu7sfZkuwVyeyScueP3yxd/vkmjR870YAfqnq4tcnonYv+1xCnsuFthXgx0pt+pXLA9NrhFaLRD+5iJRVtavdDnini+2ww5l2WJL60agcSB/eUzaOxBTl24PTRpN+7FynxLW42m6t25UdX2OeuqJRUIUMEJfsiFIhOE5/RUJtd5rftq1PsMNZj/TPsojWUVvLNcKsNs3/6KMYvm1OssMVxTvRGrUq770anVketRSOf4mFrt+Scf96S69dnp7cN1FJR0uUUHXSvg89NMnfTzW6SCMlnvpbZZtfeWrF7Tj0+PEu0kjX+SDpA40d7at1KaexR0V5m35eYoZ0fT0PSMlFRnO7xmLYcVMS1VK+vjo/pdccxvixOPrcc49URl49E1rH4yRS6rEH/T7R/mjP+PMub4+KRf2YKI0I0lgZjYvK5v1YqQXNcl0vMRubNBRde/XyQ/cvXYfySCi9Z9B4Kd1+elXfVWyYxhPpPYSLzCpU3iBr20uheCbAvxbWa2O9RDfwXERMjVx3axRIsuxaUeNUNCKoEIqGfW+Kv7/vIcuIyGv/ebYy1laPBV2vKtk2eh8Wi/rrE44Q0v0rHMsD+P3VnPajalsydmF+jIyRtgfnBwRjqgA/xkXjcY3x+1W3m0bf6vyM8aNlNKonLq9pG8pf0/syjXHRPtVpCiU/mieUuuPuAUvGK9s2CLRZI6s8r/KcWCihgh4v4W3cKvcDDcmSu9fTe0e9946GIq/Ko7zCy9JjLhEDNqyXCJtWuSeV2wG9307E7L1weDrA336dec9F/Wg/dbWPqF0PtfupHqNLM7axrTL/6ogfpZOTvtAYHd02SzN+h9bK8aPRVsNSfnxVeSQWALRJPPKGEtHTmfeQ088dpO0asaP3bDq/XNFz+5fGTOk9mx6nmYI/H72Xryrb9wA/vggAWmVZwyRS6rNOO6N8oYCUnNQ0ckhjuXQbZwt+fJKLE5J+0Vg0jVQG/Jgj3d817kn3t3jUuP2p/JgC/GMNsPHMgP+5hZ4f2nPa1/6x5SKuZNtqv+lyCgaY22FnvmmNXV/t0wWyLvUxYGOJ5NNjTY/hDjk2quLGrY++5mLgorps/zMdjQPXY0M/m6lPGhe3rXr7OVlXGNnUey6y6Y2LUBpEkU2RaBW23vuP3DfACgkiIiIiIiIiIiIiIloD+D8kiIiIiIiIiIiIiGitYQwG1f+QMGbl46wvGNkUwtKq7u37dSkrl7I3L3ROKC+zra+yQy0FrZHS0EjELwHV6bXkcWGzX65bnQyWpWu5p87nxcdvdqXYOr2WcWckhqlW2lAq+WWo2j4tFdeTQXvGL/XvyNphs5SM10rpZMn48UlVieBh40qzjefKabUMMlcMjIp80Y+G0pJCjX7Scsh6Kelc3hlx7WqT0sJqKVVslXLUmGfcdM1SGpkJLdOLeDCFvKyP3QAu+qngl6xuXW8n1JLngrT1rS5imbQ8dPoLN3X5GPDLdd/5Zx9FgPTAFvvZaKQ5r/yu35fVMKYx8Dgp20pjsPKFAuIx29/5qTcExtUoNd2+H//rRmA323ZM6/+2rzHbn2GHXhT46K/29x3PtcPy6Ci17Sl22F8xTqtLY/eKknHw6aN2qJFUK4qtIiJaC4Qjm3Y5ZIKLgtnza/b9eupzle/Xhx1vr7c0ykOjcfT6q6Ysfkev8R59oHfxRqefa9uj14r33d231xEaPaPRooAfk/TEw123/fATx7s4oNVxzCl+PJD20yP3dz0/bUup7HJT+1ujTjUOqVjy+0ljS8tfA2xkhU6v4+o4GkV15DfGB+KfAOAoaYde/xZLfttb0nboruvhLwuwcTJu+RoXJW3Py74Ui/rX+Bo/05aRaNF646b9p0RZhdtTflMfjnXS9mi0VKEI/PuJYJSstk+vxVo1MrYsCke3gc5P5wEABx49PvDcXodr++zYbVkPM/5tjze97qsJ3UMY4y9f7yckZbXL6++V2fNrE1BfJfci0eBrtSnbrvaMQXOHfa5O7pd0/9D7oFQcmPJYcH849Phg/3te5TYuXy8ALholFvEjkLR/dX9w0THw+1nb4eJy835UlkbneDK/nEbDlN2jxkLz1nE1RkbXt1Aqj+IJxsDotk/F/LgkbYeug97nJWPGRcvovaPG9mi8Vrbguf7SSJ5SaF8ulPzXdFyNbnrtabs99J68KuFHGGs/6XxyBYkZinmun4tFjf6R+xR5rPsC4J8XtC81lumYU8ZjcYuus51eo3V0jw7Hh5XTY0PvfSOev611/XSb6DbKFysjvPR+uKNgVyoC47axtnlEdUnW029vLBLc/i6mTdZBo5fyJc8/12qfyDAV1cgs47aNHs9N8rnBrFZZdiyOLaok1toE98+EfkZQ8u/rmyQKW5ehEVDJqIFxay/tiAX7q1NuTZKxss9OdN/zgnFTqbhBRza4z6g6iWlq7fRcjJn2V4NEWun5Op2PuM8LNCpL+1Ajt3SdEhHj2qpRdcVQbFs5bVb485FswUO7fnYSisjSc2YsYvxIbYmq03OJfgZjjH+s6zqUx+IBwHYH2vN10fiRbnM7pWXTJla0uSv8XLH3tA8/ef0ilIqZgW5On4lEU9hmH0Y2AYxsIiIiIiIiIiIiIiKiNYBfSBARERERERERERERUb9jZFMIS6u6p+X8WpraUBUsh8vkgLSUUabiWkJrXysvCdQSVy0p1dJXLdlLxPwS4xcft6Wfux82Qab1yy0jrgzTDpMyjVSfYk6bfaLlzYndrlNXMUNfO8GWlGrp8fK0RBol/fJMXQctW3QlmFG/XD4j5ZO66toHWpZdMpXlzUpLcgG/LFfLFWOurNvOsKnTc6WgGSkprImVEDa7Q+vkW6Wx9cERigVsXS/lpi/Z8vKvHBksaS8v0db2hMtz9z7CTqMlvsDARDf1t9Seje73eikTLYS6vangAUVbJ1qbsAdKh5SoJqW8NTN1Yp+3y81zh7PtUKOSBtI2JwGfTB7oVvSdrU+ww1mPDGw7iIhWYvuv2uiBj/91Y7fjHPkN+94djuwpp9dHKbnu09idBokMeeAvvXuPP/kse60Qjax8XqeePQEP/jU4jsbw6HXWEw/78Z56PRmmcVSeBzz3SO9ipnrqqJPH+5EUyWBmhkaq6M1ZOutfc+p1l15n6jV2qeRfi0ejGhkp0TgxP6JCr63D154lmXG+GIwqAoB0TtvlPze0VqI88hrvYZ+vllhVjU71vLJrXrk+ej4UveSVrceCFjvfLw0zgfVMZ4H6ai8wn8n32W2vEUJVCTse4EeIPf6gXdZ+ci37ylP+9j1Y9gv1Qjf7R1/Q+yfdfnpN/e6U3h0vXV1vA8Ahx42viFoqfw2w26VTtpNGbuk0+x9lx3n5ycp56PGi01YlgGgoIkvvdzQqy48Q8vfrklwLa0SvjhPx/GvplMaPyWvpsggn3d/DMVOqI+dhaLWdUCPAdFydn95TRsr2Uz02tE/Kjxltj8Zq6TTaLm0T4B83GjWczfvLbpMYmxqJdQrfU6ZzXsVxWJsMRvQ01Gg7PdcO3QDpTHBcz6uM0NNzrZ5vYlEPmXzw3r0zG1zPYsn/vbvj5YCjx+OlJ1b9WNL9Uvcd3ZdaO8si5spiewA/tigZ9/tXt4Heu9dJv3XmPaTl84Ya+YyiRl6bvdx2tkYltec9F2+kUUQaQZQu+PHJtRLV1J7TCC/7eHnGjjw/ncfIKrvT1MY1NkkijjTiNxPBPNkfzFs22nf43o227XG7f3QUIu53jTnSaOfyqDPto3goEsn/TEZjmozbv1rl2BhSFYwjyxf9eWsUlUZeFcqilnQ7+Z/JBN/PcnIs18YNmiXOrFojqeK6n9qhxp0BgLx9oU76uE7Wt7ksylpphJeOm4ga1w6NddL+Kf+8plnXPWUCr+m5SCOvPnzxRvc5RotsW43GHirTagxmGD9X7D3twxmvDb7Ipu32ZWQTwAoJIiIiIiIiIiIiIiJaA/iFBBERERERERERERER9TtGNoWwtKprhxw33pXDammwljtr6Wos4pdThmkJYG3KH6EYirfRUm8AWN5uhyWJIpr63MrLmkcfYsvpCqFYpZIBlkm54fyslBIWpdHvdl9Wus0BNuLgk5f8MryvHhOMc9K10WV5nl9OriXjWu6rz+t6Pz35Zldq/k8pYdf5a+ljoeTPW0toddiR09JLv7ywORv8jrEg/RfzjPt9uZRsRqX1mc7lduTEUGwm5c0ag1XvSiUrN6wnJZbhyKauhLeNllIWSh7mvPK7lU4ftrVsm1kvdR8/MZAaxjQCAFoKgCe1xlqKOyB2v8IO315BG0ZLfMEKjgkiIlr3aYTMBnUGz0wOnvPD0U0nnTEBMYkvScblvVtiPu67u3eRMyedYduh8TvquFPHu+srjd3pL+HrsFV1+Il2er3WS8T8KKsnHrbzPOd8e82SlNyPYsmgI1MZrQkAmaxd88dkvY891Y93qk7Z3zSSRcc5+awJ7jowFop6UbGoh0wueC2n15p6XRqL+tfxuXzlMsL0ujYil54PT6rcH445xfaPXrs++3c7v1PPtvNrzxg3n2Vy7b/Z8OB+lkx4aEvb3zU2JyKNTyXscNJdK78ePPbU8W5ZGo+jsVCPl/W3XXYwZgfoPvZrRfY/aryLPtrrcDvvnlw3dxfHBPj7rG7rdChap1Ty10uHur51Vba/lrUaJDSCSNZTI1o0ginidR/hdpz0U2unv9zy2CWgLCZFll0e36uRTzpteURReUQQ4Pd/+fOpUGyZRvXo44jnxziFj4lwe2pT/jFblQyugx5zhQKQK2gUTuWyAHvf19YZXKZum6ScQ5/vwXnm6JPHu3nHY7p+wSgc7euSMYjIiiSlD1zMbln/6boubw/GLddJFFqxCDR32Nda0rIOoT9bzRf9+zeN29GIYX3fKBk/7qpG+i6X13bZacLxUT2lMW/arse6eG/QeLaCu+f2KsZR1QmNKbKP2yUyqC3nuX1OI3+SGhkt618d98+lLjZM7sv1ldqEwbx2uyNo5FJK+saDxhb57emUdsxL22k2lJgiAz9mSuOXNLZKt4fGV8Uixh0nus01qsm448i4Nhr5bCAh0+uxUSx5WC6RRh0FO0ONtNIYq1QMWJYJ7iT1sp5Jmd8HrXaFN0+V3OcG2l/a5mjZZx7aZh1H17NGtlU677m+1wgp3W7l0U8ahzaizj7X1BGcT1XCjwhU6XwwmkojphoSJczS2Ou3J9r57tMIAFis2U2mCLx7C8L4uWLvMbJp8GOFBBERERERERERERER9bvYQDeAiIiIiIiIiIiIiEgZ47mKnsFgMK1LbzGyKWR9La3a9VBbOu2X89lhjUT1xKPAlMdsaaSWQ+o4qbISUS3Bzeb9OKHy+dSm/BJXHVfLdHV+i9s8vDel5zEAGnOkJZeqM++XMcZD5boaSaTPl8dHRULnBy1H3eWQCa5dGkFUlwqWkJeMX1qsJaW6vlouXV9th8vb/VLql54Ilry2S0VaMuZHYnVKKWg0omWVUmZr/LLTjmywXLQ9p+N4rhxqjsRXDYtpGeNyt64j6oYCABZndbvbcXcZUgjMNxU3rp+0FF23w7/+YR8fdOz4ivL2fb9ux9E+3fXQCXjnn11v6+2/aiMOPv7XwMYyDd+7EQCw9I2J3Y6T2tOOkzX9E88U39NGLuWnruZ8Gce0Zm17ih0aOeg/mTxwbSGiQU3jlzSiIubiGkxFNMyBR9v3An0vL5WAV57q+n3hhNPtuI/cfzNOO8cu44G/9C6iCbBRPZ0SHaRRMRrjU77MdcXREiOi17RTHrsZJ54e7GddH40Dqq3yXHRQfY29EG3tsO8XLR3B27JEzI8m+caZdjv4cTASJxL33HNFjaOR/aAg15Ce51+T62WuF6qT9+DHMGUksikcmXX8aeNddJdG+2h01xnnTQg8Puf8y/CXP3V9DVe+rfV3VVtlG2bKukLvEVo6Sm6dASAr7YzHPHdd+uBfu99PddtUJe0MO7MlWV/7uvbRkw+vvftg+FpaI3T1nqJY8vcR7UONL6qRSKJoxF9XHWep3PbWV9lhNu/3y5vdxEwdd+p4LGqxv49osEONfdHoH93fYlH/ONGomUQ0GCEU8Sojm/Q+SKOA0ln/d73n0jbr/IsloE6e0zgmfayxSrr/xqN+H4T7pDx2akiNxF21BeNttK+rk36bM9KO1k6JOJL7NGP8+6buHHvqeDefVDx4P62xR/p6IuZVRPS46Cztx6Iff6b3l9rfHWVxX1kXrRScj0YQG+OPM6TGDps7gsuORoChtRIhJW3XeDqddlidbVi+YNx04WP2INmnqxJ+zJjuSHHJ+NG+uP+eyuNdz8uFsu0RjgBTzZ3ByJ/pLVGMks8t6mS76b2ot4e9H9uloYB8KA5KY5g+eNFvj36+otFNCbmHH1ljG+N55Z8b6LYN3stHI8Z9zpBx28iTvgiuTCzif96gfaufFyTj/j6o8VIJFzltAo8Xt0fc8jeUtjalbT/Vp+zjdM5DrfST9qHSffLDF22/jT5kAt5dyWc72x14meuDqrLPVQD/cxtj/Nf0M44lncFIqUzRQ5NEPW1WVQpMP0za3lBlkJbpMwWNkbbjdMjnR/p+siAXgelcKit0T/crsFujHU6b6J5aXz9X7Evahx+/evGgi2za/iu3cd8AI5uIiIiIiIiIiIiIiGgN4BcSRERERERERERERETU7xjZFLI+lFaNOdyWMb757M3Y/TBbSpiU+J7yKB3AL/0fWmNcaeoLoRieQ4+Xssii/5zGFGl5pJbSdmT98jstIZzVGsxTypaAzNSJAPxoJG2flsXq/AC/fPHFufJixzw7nPkQAGDUvpdjw2rbkO7igQ46djyaOmx7ehIXtfUBNk6oWsof42XlslOfs9NrP2ssVCQU4WTXK/iaRhxp+XV5X2ssg5bQtmT9SKqUzEfLDXWYlrLDeMSWMAJAVMoyZ7faeuJhKVuL21TwgLzW3toGxRO2o+ukhHJriW6KRf22h/cHddjx412ZdTS0fl055Di7zhoNtrbZ7kC7zWf8u4v4gd1tCS/e7tuoJjVyn8sB2FLaz1/5XeC1VYpz2vlCO3z/9j5t31prp7HAB3cNdCuIiHpHYuAahmwKAEiXPGyctG/0m9Tbiy+NYmlO+5OFI5v2kGu+hFxTbVAH/OOhruOSNH4nFvXQnrbL+nsfRCmddMYElEwwdkSjPR6eVHn9Ne5C+/7359t/V/Ha2uo4iWbSqKXTz7V9GZEMjUzOYPJ9dl1POsO+FpdrqnCflIxxEUjqVInQyuX12tgLjA/4MTUq4sFFnpS6WEZ5+8rpMlJJibUoGiTkovfuO4Lb5KyxlwXm58Hzf5dZN7fbx0Nq/WVlJd5G++S8Cy4PtK+js4RYzP7eKfEv1SnbhrukDaecNQEPyf6j7cgXNIfHDh5cQeSYbjO9bn1m8tp5LdpX9v36eBfbo9G7us9otM4mwz00STxRg8QV1Umc1p1/9Le9Rok1dwTv1QqheNxcwY9Uiob+JLI8Tqw1E4xzqpZzm96TpnPl0XTBobY9FfePKT03apSNRrHo43zBH1fbrn2hfZOM+zFrbZ0Sb1MWIaXjdmjkrsTK6PqqVKJy39J4IY2SGlrr3+vFosFjVNevWo7HeKwsmid0zOsHPB78yCa9P+yUNhfK7tP13BMr215AMM5Kl6/9pduxPBo5LseqHn/6uChtyJRFQ9Wm7Gt67KuvnWD7JBHz+9nzglFNuh2jZec/jXTT9uh71qHHj/f371A/ZSWypzzusDVjH8xok/th2Q7uXmu705CqG2XXJ9tun8u12uGMBwAAW+x3Oea02Y7etNbuhHGNZZKI3xE1RZclr5FRGiHkIoM6olj8+sRAmzUmuV2PlbLPSXQ99LMF3T+1TwoloKUzeK430P3MPu4seK6tKZl3fSoYVdaei7jPQTQ+Sel+VVsWVbayyCbAv0bReGr9HKNBlt2S8dCRsyvWLv20tDMj49jPM4bGDeY0y7YoykFVsMP4kK0AAPl8HijJwRmRg7xgPwMZWVcPAFj4eu+vOdaHzxX7m/bhR698a9BFNu2w363cN8AKCSIiIiIiIiIiIiIiWgP4hQQREREREREREREREfU7RjaFDMrSqq2Ot8NPHwXQdfTM3kfY0r83nrGljV850j5+9anKkmUtE9QyVC1LLZX88kAtM/zXP+z0Bx3rT1NnK+qwXCKS3no+VMI3+lLg3VsCT+0n7amRafMF//eMtOP5R1e/vHr/o8a7ktRXuljnntrjsAmISJlhOCpB46fKSxZ1vbS0cXidHXZIeaUxQIdEMzVnguWUWiYZ8YCGqmD5qva7xkYVSh7eln5O7dlopw99HblhVcmVVraVxUEBgFTZurLWjetLroT66VDpcXn00uEn2t+f/XvXMV/G+KW74X1t/6PsOC8/ue6WzY/c5/JVKvlsGNMIAGh5c2Lg+RH72OfDJbu0El/+JjD9Tvv76EuDr2Wb7DBe75frvrvu7mtENIhtfwYAoKF+JABgZFUJQ6vshYPGdeQKwWuE+irjYhIPPFoiJCX6Qt+/M7myyI1QZJDGZCRiHh7868qjFtZVx5xi+0ajq1aXRlyVx79o1NJ537zMvQYA9959I049W6IpgqmlLr6oSiJZOjIlFxciaZounkTjlDqzxkUquYilhMSQyLTRCNCR0Qic4L6i147Fkj+9xqzEQ3EppZJx00WjwZiOvExr5NayWATS2eBtpsbB1EjkUr5o3DLr5MJ0SF1M1sXujIWCCcTPlLe9TeLEYlHg/ntsf59zfjCySaN2mjuMi+/pLn7sRIkui0Q8/O3egd/vNdJLY4Kee6Tvr1N0nTfawN7QZbK2wzbeMIVFy2xEhu5Hul/o/vD7m37r5nPmebbfCyXdz+z27Oi088vmjTvf6L6jkVAaAxOL+lFKuq313lIjpnIF/95PI5Vq9Z5Q7iliEf8DDo0F6swF9wfdF9NZ/5yo97bhyKZU3L830+l1H9RzZm3KP5+2SHSePh5S40eetUqKjJ6f9Z5I12lYnT9dIh48xjrleGqV+dekgBo5nsPnEn8dPHcsZOVYi8pBb0zw+ASC96Dlw2jU/137tBCKYYpH/fckjQgKx9DpuS2bN3ggFKOm940N1RJbFPHXWc9p2oZkwm+DLlO3TXi+R35jPJollTgcSaURxGpZh+fmt1yimxKyPeakJUIoDrTkZEctycpHU7Le/jbTyONauWfX+OSYxDMlowYb1thGZ/LB+KXw5wiAjaEG/HO2xirVJyVGLOqf49rkc4O4RJ/pPXwqbvBFi+0E/fxho5oVR1uvzE4HadSSfTyizi6zJ5/NfPlgO22m4Lm4Kf2MoxTaB5syEYyQGO7OgsZS2xc/bLUbctvaAj5ss7+bzqV2Qo3TmvWIHe58MfD+bauyiqtlUH6uuIYxsmnwi618FCIiIiIiIiIiIiKiNcMYz/2/lcFgMK1LbzGyiYiIiIiIiIiIiIiI+h0jm0LWh9KqXQ+1pXE9Kcvbcn9bfjusymDqc8HxNbppabtfDq7f9Q2pDpbgahniW8/f5KID2iUW6MNmWzaYmTpxNdam/4zcx5ZFauTOvl8fj9ee7ttSad0Ww2okKkkq0bRMU6OzAGBBq+2nOa/Y9mh5pOfZSCbAL+FcLmWaNVLyWB03eE+iojT+Z4OULXlsy9lxh8rjchtKyaWWSrZ22nGTMYMNG+xzWmKsEQCT77PLOeaU8RWllmkpAy6P8tKS5f6y79dtH+q22/6rl+Hjf924oknWbdueAsx8aKBbsfaTCBQAQLTKDvN6zpcddubDa7RJREQ9pTGQtRLVoHGTXzvBvufFosBTf7PPaeyLxu9olEdH1iAlsZuPPmDH1fgWjbQ57ZwJFfEXfUXbpdcN/eH0c+0yNM6nJ049x05TJZEzd9+x8uhFjasxMC6iRKM7Jt1lrzmOP03jRyMuiqUkF0opWVa7RBBp7E35fDRGpF0icOol4sigMoZmaYt9YkitjGOAklyMJSV/RCNUIhGNeyr58SzyXF4yPe6+067Dhd9qdDEtOk5WopWScT+GSel9wV3Sh93FKQFAlcQ4aZ/UVtmV6cyW3PjaBxr5k5a+eGiSv331GOhtvFE4zrav6H2QbuLyaNKDJeL2hT66Ng7P7zTZtwE/1ubks4JxKyqV8LDhMJv/ku4sBF7T/eQPt9zgntNoMo13ctvY7VP+9BqfpHE8iZgf4xO+Z6iv1untOO0Z40fWyDlN7zezkp5TnfSfq5F4obRbln1eI3tScT+6RvdHjY3SWOJoxJ+fRv/ovqj7eG0VUJUIHte5stik8Lrr+mlMja5LVcJzfaVxVdonusxlrfaJYXVeIFIJ8Pu7UAjOQ9cDKPvwx/jTaAvd8S3bUc8TbemSm861TxqUlGirbG71zudHnWz306FyvtJosOVtRQytsyvW3G43gEY+JeR809ZRQk2VfW5hk92A4WP/mFPGY3GL/T0tn0kkNVKqrA8AG20kpzTUSZSxxk990WZ/icC4e2yl2zEpEUkzWqPYeZjdCJ9LnNDwlF2H9rwduSZu3L6m9/IJmX5IlR/lpMtvkfv7Klm2vtdki34M39CURudZS9KRQLuWZiOQtxtsXGMXvrpRTUojot/sImaqx3ZrxE4Ntj1p6R+NpvxUPgOpihjXz/q5hUZR5Yr6eZRx+3JO+vTzdjkxhCLB+9v68Llif9M+/PDlSwZdZNOO+/+B+wZYIUFERERERERERERERGsA/4cEEREREREREREREa01jPErxQaDwbQuvcXIphCWVgXteJAtv23JeuiQUri0lL81SOmfls1ukCohFrHP1UmEgJaOm7JySC1f1bI+jYWa/fIgjtHpRrjEUSMY3pV4pf2OHO9iGDS+6VV5fOyp9vHsJR6mv2DH1wioeFRLOf0STi3H1LLYRc0S65T0SzvTEqOViEkptZS1agSXRjY1VBnUpCDj2ufCJcgaywQAR5xkl6nlzqpY8st+tRz16cnBcs9VjXU6QErhq22VOZ4JzW+ngybggxe7Lk3V/d2DqRhnuwPtazP+3U/76e5XICXHT4/iy3aVsvt3+i/qYr21zUl26MlOGYkBH983cO0hovVKd9dFexxmz/v1VcbFcGjESFcRLydI/JJeg3UXy7Qip5w1IRCH05cOP9G2o0Oq8PV659RzJqAtHYykePbv/Rvv2JXzL7LRnZmsf6t0791dXwOcIrE3D026CWMvsNNp9Mlf/xyc5qJLGtHaYS+INPJkw6E2G2ZZi42W0MiSeMxDWzo4blLiX/70RxuDdMZ5E1BXLbEmbXZcjYTS2JxCEahOaaSFHRZLwev4RDziomb8CJtgpE4mZ1BTFSywLxSDt5LaX9GovywXb+MFx4lEgKxcP2qbG2qjgbZ3ZksuPiuXD8aLapTU2kJjuXSfjkb9GKEqibXRKDWNU4pFgYyM89ITvd/PTzh9vFu+Xqs/0oNj/ZhTbHt0W6cSnosH08ihbN5uE42ZWdrq38NoPFpO1qW2KvhPO2MxDy3tGu+l9ye6D2p8mB/jFNaesc83VHto7gieH+okeVP7uibludgWt8/JfqbHlkY4Dan1UCwGx9F7E51/yfjz0fvYGokOMkbjxDzXT0Y+XklLm/X5WNRzkWaLlkuEmsRC+XFpwAb1tgHL24P7u+tTGTdfMO48rucgbXMiruP4200NrfOj3HSo0XJnjb0sMK4+X07H6eo1pe3R/tZtrX0ypDbitnUqGYyP04Y1tZVcRI/naR/axxpRVSwBOVm/8H6u97xVCQ+zFtnnMhLx0yCRPwvb7Yxq4xIBVPTQIPfGWdkvNCJJ44GWZyIuskkjltolAjkc8wQAEc8+t7wzEphfrui5z05asva1UXV2oXoPns57mCfTDZPpauPBOLSMfEbTnPeg6WDDZf3Sur5J+zgW6X1EU7/Y7XIcupld99ZO+5Rum7ny+QOmTex28i8fLNFzHtAqfakx1wOFnyv2nvbhBy8NvsimnQ5gZBPAyCYiIiIiIiIiIiIiIloD+IUEERERERERERERERH1u3UqsmnUqFH41a9+haOOOgpVVVWYMWMGLrjgArz11ltunOuuuw4XX3wxhg4ditdffx3f+c538MEHH/R4GetbadXK4pJG7mPLzhcuXwCkhtsns012GI4w2f0KbC9lhhtU27LADilfrJbyRQ9AQv5zSVfxAuu7YWMaAQBNb05crek3/YrdXikpH91tMzts6zSu1Fj7X8uHl7fbcZ79+8049Wxb7qgly0rL6LXkNxX3UFdjv8/U0uC777BlkRoRsaLycI2bevxBfxwtFf/HQ5XT7SdxVRrnEHb4iePd+jV3BNdTq3+1JLqnsQ/h+Kz+ssV+dpv1uKx09yvs8O0b7FCjm9Q7NwE7nG1//+ivfdDCQW6704AZDwSf2/4MO4zX22Ep68c35VrtcOZDa6Z9RESjL7XDd29xT2ncS5XEEz75sH1vW9F7qdL3+lzBlMWE2DfLyfcF3/POPO+yipiib0qU0Z1/7Js4BI250UipgXbaObZ/wjE1pRLw4F9t/5z3TYk1kYsPvQbqifMvutxF1GjsSKEQjOBIZ/yoHI271KgXjS/SYSZbcjdzGmmk21MjvaqSnpu3vqbzMyWNWPJcRJOul76m88/mjLsm1Osrvf7SdmqMy9nj/OiX5W22ITUpnUjX07h4nJqU/WX4UHsB19rux09pxNX996yFUSMrodFkQ2rsSlel/O0G2PX7y5/6NnpKo1LDsaWrSvfzDonZ0fOF3jtUJ/37AI2iOvWc4HWpuw5PRJCXY6k1bSfSfUfnm4h5FXG/xWBqkdtfyqfX3VZjvsojYXUc3e/DEWPJuOdiZ+PRYMyUHvu1Vf5x6PZ7mb9GjpWM/5q2vVbizXQ+nTnjYqV0f9D11dihbMHeZ5Wvq8bmhWOZ8mXrUi2xRw/8xY77ddkHhtZ5aO+045Xfd4Wde77d1hqjpJFW2repuB8XpxFXGh2orfDK1kPPE/qabnuNZ4pGPDeungf1fKXbKhr1+7SloxQYJybbqr4mgru6Of8eJ/eb2YIf56VD7Vudf0fWjzJuzQQ/v0jL5xm6exQNkIxpfFn4fCjn6TjcfDRKWedTkEjlmkTZ9ksEI/S0PdVJg6YOieuTe1vdJhqtl5T+W5yOICnLSsWCMVOfvDRw8Xbbf/UyfNwijV6PoobXt88V+4P24fSXvj3oIpu+fMD/476BdahCYsiQIXj55ZeRz+dx1FFHYaeddsL3vvc9NDc3u3GuuuoqfPe738X48eMxZswYLFy4EM8++yxqa2sHruFERERERERERERERITYQDegp77//e/jiy++wDe/+U333GeffRYYp7GxEf/zP/+DyZMnAwDGjh2LRYsW4ayzzsJtt93W5XwTiQSSyaR7XFdX1w+tJyIiIiIiIiIiIiJav60zkU3Tp0/H008/jU033RQHHXQQ5s2bh1tuuQW33347AGDLLbfEp59+it133x3Tpk1z0/39739Hc3Mzxo0b1+V8r7vuOvzkJz+peJ7lM2Lbk/3fNb7kgz91O/r+R9nSyEzelgem81rGaHez6S+sP2V6PbLtKXZYzNnhp4/a4Zfli7fpd1ZMssdhtlz3ref9vvyKRBppKeiStC1+2lCiszZqMGioljJbKe/U8mEtQU7G/XgCpWW/J51hl5lM2OcTMQ/5gv1doxw0AkLLnqMRuHGekCgJjWVoTdvnu4rtOvpkO46W9T/415vcc1oanJQyYC0r1vmXO/Ibdpq6Kn8+vbHdgbaUeca/+6bkdesD7Pxm9VEJrbeHjXLaJFnCvKztKPPWDX0ybyqz3Wl2GI55IiLqa6Pt+xjeXb3YFY33qJKIjHtCsTBnj7sMf/2zfe7M8+x7kkZy/Pl2G4Fx2jkT3LXAYKBxMg+G1umiSxqxvLUYeE77zYv48UUaY6LXI4mYfU37sac0HqV83uWPNQJq3IWXuwgPveaJhiJtTNmdnMa/aJxJTNrX1lFCPK7xIV5gHXTcTK7koqN0ulTCjtQhEVKxSFnkTShvJxG348Zl2nSm5CJZ9FrxrLF2vTVuavHyQlm0jp1uSF0ksF7xmIf6Wpu7WZCMkt9NvB4AcKLEhP59BTGhA0Gvm3MF465Z/3av3edOluNSt2v59ek3zpwQGLevnHGene99d/ftfM8ed5lbP41L0vPMxd9uBOBvx7Z00R0vui+r8n1G71P0Oe2n8ngijfRxkU0yje7T+YJxx6/u3zqO7r96rstkTUX8krZT25KI+zFF2g69Z9I25PL+vHWZxZIJzCdX8O9LtK16jOg4Xtn0OenTDkkqcVE90pZY1I+o1aFuj5J0fK4AxKMI0DbrOkQjnotE0vuvts5ghFB1ynN9qNtal4Wy7aDrpecZnW9DTTC+qlA0LrquOhXcL/RecmhtxMV7DZPzwrLWYNzX4w/e7M4DGmGk7XT7ZtFgUbOsRzI4TqdEOBnjuXnkpX9Trk81nkmn8RCT9dSoJe3/jqzO33Nt1GUUTfA+OxYx7rOR7b9qz40NKduwN55Z9XPaLodMcBFNsYhENkmkVF/db/a0HQDw3mLJUfZiwPtd/3HwYMbIpt5jZNPgt85ENm211Vb49re/jZkzZ+LrX/86/vCHP+DGG2/EueeeCwAYOXIkAGDRokWB6RYtWuRe68ovfvEL1NfXu59NNtmk/1aCiIiIiIiIiIiIiGg9tc5ENkUiEfznP//Bj370IwDAtGnT8OUvfxnf/va3cc8997jxjAn+xYXneRXPlcvlcsjlcv3TaCIiIiIiIiIiIiJaJcZ4roppMBhM69Jb60xk05w5c/Dss8/ioosucs9dcskluOaaa7DpppuudmRTGEurgjbb73IAQHveQ9ObEwEAW+5vSwpnv1xZ+jdaSvS0NDQjkT1a8jj1ucFT9j9Qdj3U9rGW7b435SZXGqllte/80/bzsDGNAIDhqRI2G2ZLQDNSNvrSE7YU9AQpcx1SG3Vf3i1tseOGo5BOP1eim+L+SVTb4UqZpYw3mzd47MGup+8qZkBpmXJc9pm2tMHk++z6HHq8bes/H60sY9UYhqUtfmRUufJoqqcnr12l/T01at/LMf+13610vBH7NAIAFr8+sX8btL7Y9mRg5sP2961PsMNoMjhOX0U4aUyeLo+I1lt6TVWTtO9rrz5V+d51mrz39TZW6bwL7PWeRgWtLfS9Xd/TWzpsXzzZRVSjGnehXZd8wbjronBc1VhZ35JGJXl+zGQiHoxi0RiXYsm4WJWiRLP0JCpIY3jqqu1K3HXH79x2q6+JyjLsjPWySCNpCkXjYpM0gkVfU/mCQWc2OL1KxStvejUKR+NgyuNv2iUeZUhd1+0yxt8WUble6+i04yxvt2NtvIGd1pN1LafbRq8d050lF+FSL5Euur4RF+UExCUfJZe3y2putxd15dFbK4pC6g8nnzUBD09a8TLOPO8yF1c1GBx3qr0O1zikB/5yk4t7S4Uikv74h4kA/Dg4zwNqqmRfdlFIGtUj9yi5kotLCkeCFcruM/S40WNCl6n7r+f59xgaceZHQPnHFmD3Z92XM9IOjR/TyKXWjpIbX9uhzdPjQecPuAQjt5/reSYS8dz4Oh/jIs/8aKl5TfY5jUBuzsixVrATL5dYnh3rCxhaY9x05e3RaKJsHthwiMynPRjDpPdamZz/u/ZbWqKHdFwDoEbmmQydI5vlvLxhQwTN7bYhQyViSR+XRz8BQGvauNijYihiSSXilTG9et4q344FFyVlhw019rXFzXbcmpQ/Tx2ntdNfLwAYVmuHS1s9Nz9dv6p4sN868x7efp6faai9j7DnBd2er3wun6F9cNcAtWjtwM8Ve0/78P1/XzroIpt2PvAW7htYhyKbXn75ZWy//faB57bbbjv3j61nz56NBQsW4PDDD3evx+NxHHTQQXjllVfWaFuJiIiIiIiIiIiIiChonYlsuuGGG/DKK6/ghz/8IR544AHsvffeuPjii3HxxRe7cSZOnIirr74aM2fOxMyZM3H11VcjnU5j0qRJA9hyIiIiIiIiIiIiIiJaZyKbAOCYY47BL37xC2y77baYPXs2fvvb3+L2228PjHPdddfhW9/6FoYOHYrXX38d3/nOdzB9+vQeL4OlVWvQl78ZfDz9zoFpxzpqr8NteaQxHuJRexgvbLN1ycOqbK3pW1JOutfh4/GfZ22swKZfseXyG9faWmEt7Y14ZSX0OVuT+u4Uf3oAbh7fOHMCEnE7rpbZKqNlrhF/3loeqxEHWpZcHjHxzYtsu7RsWsu3PQBtUoIdjkbQGIRUwnNl1ctD5chP/W3V45n2P2o8Xn7STrffkXbdswUt9bbzr00BUx4b+OinMbJtNCYtVwSWd9qOn/XS4IkJWCWjL7XDd2/p2fjbnmKHMx/qn/asCm1Lsex/G3366MC0hYgGhEY1VSfs+81rT/vvvQDwt3t7FhVxwcWNAGwMCgD89c/rxnuCxjQBfuRQRmKTNH7lvrsr+0DjgP58u40JOv+iy12M5F8ksikc1RSRi4VoBC46SCODYhLB0irxQPfefWMgDgrw44ri0s4HVxCdddZYG11TKBoXMaPCMVF6vXT3nTe666PqlF15vXFb1mIzOJPxCHJ5ja6xr+m6aIyMMUC7tFWv2xokIkmfr62KYNJdtp8uuqSx2/VoSxfdPAE/KiYtkSob1Edc28N0vhrnM/aCy5GVGKa6att4jc2p1ce5kusPTzooEYp2KRSN2ybarq7292NOsddM/3hoxddvJ581AUNq7fLvuG3iCsftKd3+S1vt+rVJZEwsAowcKvtPH8RMHXPK+JWuX0+dL/teOmPbXJW027Y8UkyjtTTmSI8t3Wa6XTyvMiasOmWnScq0mVzJna/+EopZ09jXVCLixtHjqLfntgu/1ejaCJTFFsl6Z/PGnYM0UkrjonTceMxzv+s9iEZU6T1KqeRHRWm/FeQeSe/BZi0CEnJfV1dln5u2wP4NaSIi5yg5zksANhtij0eNU0rIn5tqNBIALGsNftyTStihjmEA5KQdeu82tNb+Mm+Zf6On7dFoHo0B1mlLJf8ctEG9nls1LqoUWG+gMsJXY6Na0/5jbU9SXkvngm3wPD8eSs97qr1T+ivuYYn0QUN1sM06/6Z2vy0lyXfX++uc3AO+xZimgD2/Zo9JF8m9s/1D4WFVtpM17nt9xc8Ve0/78L1/fWfQRTbt8tXfc9/AOlQhAQD/+Mc/8I9//GOF4/z0pz/FT3/60zXUIiIiIiIiIiIiIiIi6ol15n9IEBERERERERERERHRumudimxaE1haResijVTS0tshNXa4vMMOSyUPWVvR68pi2/P2+0j9VjIWMdiw1pbTzmuNBub/+ZK59peZD7vnzjjPlmlqHFNV0i69KMspjyTQEu1wmXPE89x0BakI1tLZrJRGL2kpISslwbUpO6ypCkYjnHHeBBffcOZ5tiRey3a7irbY4zDbdi291ZLTZExKc4t+PNWuh9rX3vmnHXffr9u+fu3pm3HA0fb3l57on+imcDu7om1PxW3bNWqq/DVXSrv7FXb49g193dS11w5n2+FHf7XDbU+2Q92XtzkJqN7Y/t7TiKe+sNNYO8y3B9ujtj8DiEr9/Qd3rbl2EQ1y+x/lx9y98PjAx+4NhHPOt++T4UiUtVF3bT321PF4/MGut195LJBGsWhMisY5hV387UYXPRQeVyOkUnEP90g7zj1f45fsNBrJYkz3sTu6LjVVURdL2SJxUMlQZNP999zkptF26bWTRqDotVU86rk2a6SOkXHTGTvM5o27vtLYI11WS4cfqaPXW9Xy9lMl0S4dWTuMRf111kgWvQ7U2Cgdd3i9F4jmLO+DbFkEV0OtLdjXqB8XN1UWa6XRUzmJd9KbV40F6sj466fLXNF+fvY4+1o46ueUs+y2fmiS326NPlvd6KYvH2znWZ8K3nJvWG+HNakIkgm7fkPqbF9kJZLo//3eXq9d3vg9AEBLe8Htl7qft3bYDaL7TFe+doI97208zHZSvmhcTNJdd9j5XXa5XUZVSqOzimiXeC5dd40P0zXJF4y799D9Ua/99X7D8zfjakUr6bbSSNe77/CPYb3mv/duO1893m+/daIbR/vJRYtldB+yDbzv7ptcHJS2VY+j1o6Sv57ymu6X4cjaupqIe02PR92n80V/28dD90ZLW+ywqUPvkfx5ZlxcrH3ckCoF2pmMAZ822e01qs5uqznN9vEuG/tRTnOb7PjL0na9hlUF98WqhHHbSyOXNpTje1GzfWFYHcq2dXDdFzT7fbJUYmM1UmlziZTS+epxuqTNQ2vWTpeSzI5i6F5wSFUJw+uCyywFm46htR46MsHIuogXvN/M5Pw4qLScnzTqdlm7zl/OZyXPRWbpKYhRTZVOOH08Zi+WiOfFHcEXi9LJeu+1nuLnir3HyKbBb52KbCIiIiIiIiIiIiKiwc0Y/0vuwWAwrUtvMbKJiIiIiIiIiIiIiIj6HSObQlhaReui/Y60pdivPGXjC7Q8fPoLfompxlRopI9GD7Vk7PeSn7RHMVQiizauseW1GlMUltqzEQd+ydbOasm+lscm4n6ptpYUa8mylvnrOBpZAPgl3lpSrWW3uYJBdcq28U9/tGXaWoav8VC11RE3XVOrfXLyfcG2n3eBLTNf3lp07eqQyr82Gb7xjO2b7Q68DDP+bcu/t/+qXdbH/1r7oy3CvnqM3cb6LXyHlEZ/0BxFZurEAWrVWkwirXT/MG2f21/K45S2Ot4O49V2GK0CAAyraUBTNicT2p1xWCoVmH3TmxNX3oZtTrLDUhGI2qyM4UM3BQAsfaMH0xPRCh1zij0v/uOh9S+u6ZJL7TkuWhYrcustNhLmW/KaPv7OhO8CsOfDm2/87ZpuqouGuVPe9zWaJeJih/wYH702UPp+H/H8eA+Nebl0vF3PNom5SSX9v8364x8mBuYTjvU59/zLXMyKXs88PCl4rXHq2RPcNYtG4Wjkk4tqyRs3n0cfsPuh7pe1VV5gfvGY5yKHdD5VEu+j27E9XXJRJzrfuiqJ5ZTVyxf8GM0OiazRGM1lbRovA6Qkoikjb2fJuB22Z/zHen1Wmwq2VWNlyuOOTj3btlljrA6UqMsNG+zIsSgwpC7q+gXwo7JOOsNOG40AnqyHvL2WXUfaaYol42Kvwn95qPtAeYSn7iPl8T/d6SrGCbCRJY/cHzyP6H5aW20b/Mc/THTHXVOrvW7WfW7BMrsTbbNJHDPn2qys0Vvb64ZlLfaxbrO85JrefeeNLoJI+0v3Mz1mSyWDNola0uihzxbZZT8z2bb3uFPHY6NhNihBr8Xra+x2iEvWTjIRQUt7XpYv/SzRQ8mEHac9XXLrqq9pBKtuD42f6sz58U66jYbWRwOPk4mIOzZ139WIMm1DPOaho9POMy7L0HigSCQYmQT4+4r2l77WVZSX3l+UQnFMyYRXFmlk56fRTxq3Vf4XvHrf05YuBdqwtNW4YytfDC5D49FKxo9v2nqExDrJRxLZvH2+Oumfh7ISNTRtud2eGyfsMue/ZveLLfa73EU9dcr0uaIdblBtn0/nPWQkEmloKrgda5J6jKFCs8Qz6fzmtGXdte8W9RrVZKf/oMm2T1LqsGnKuJiplJxnEqHsjtZO/7wyvF77wA6j7twG1FfbkTSWKZPTqCz7OBkDFrfY3+vl8r2t0w41Cqoj57n5vjeFEU1Kz+G63+txubCphDlN9sGsl4LHUk8ih9cH/Fyx97QP331x8EU2jT6IkU0AKySIiIiIiIiIiIiIiGgN4P+QICIiIiIiIiIiIqK1hjEejPFWPuI6YjCtS2/xCwmiQUCjmpRGNW25vy09nt20HC/PlZpUiaV5bUEWADAsaU8DmyRLSEhZ7XKJcTpASuu32Mg+nrfU1ut+uNhg3nKJaJKYp2pJp9G4m2LJuEgljVXQMumYPE7GPRc5EC6BnivL2nR4xMUxnC8RDlq27ZWdy7WEtK4mWPg1VsrytST9sQdvdrEHnVLSmwydCTWuCfBLhXtCY7DUa08PbCTIv/5hl3/4ibZdJakl37K2hA8HrFUDRPZ75KRme/qdleMU7TFh3r3FPt7hTDscfSmQl3LKWI0dRqS+/B17rEX2bgR0OtEkw5H72H1wi/0ux5xXVhIPEU3aYaoeiNj6/ZjHZEWi3qrdqxEAkCsU3HNnjbXvkXUSVaIxG+HonsFC32c1N0Xjmcpf0+gm5Q3QPZNeL4Sjm/RxJmfctcHJEqlTlZQYH7mOaKiNumsDdcvNdp2//R27nhrnUyxWnmc17kavIzwP8GS8IbV2n9HriQf/ItEUnh+ho2qrgrGTp50zwV1bHH1yMEJMI3/uvbv7mEiNI0kl/e2p8Tgap9TcYfugRsbJ5A2Wt9vpdNlxuX7T6JOaJDBMInT0uSXN9kJOo5uG13voyNjpWjrs8PlHu7/W0eu1E0+XCEl5PivxObGo56J09PjT43LSXX4fnHGe7WdNjdHXdL41qYiLotI4LY1iee4Rv326r+g+onEk0ai212+7HxkUXKfzvmnbp9uhXHi7nXzWBCxvszPV2J5wTNSzZb8/VzHHSnp+uuDixsCwrcMuJxr1uowjAoCvn2T7Kxqx1+kAMKTOXgQ3tdjpm9psJs6o4VEXXZSIB6/V9fiMx/3tF3ORZHYDJGLBCKh4DMjm7Qx1voVC8L5gWXPBLSsRl9gx3c1lmMmWXFSTTp+s0mX47dP9SbepRoGtiPab7oM1Mt+OzpJro+7TKYlq0nNIVTLi4qlistOk5fEH8+24NQl3+kVW9tM6iURKS5RTRy7iooY+XybrLLFMGqOUittpOvNeRbxux5hGAECDDD/LeBgtkU3zJWKpXfqkNW+30cjqIkbVB2OOND6ppdMuO1V2r1QrsU7x0DGw64ZxlIydQYvExM7SNBK5lt2i2h9fI59qisFYKF2/DeuBTumX5g7pC4lsqq/yh3o/p/uOxjrptsnl/f1nSav9pUnWa7jEVn3w4vodLxR23KnBe1o9Z+t7jecBn6bt/rPLIfY8OrRaIwPtcMzhdh5vPrv+RWQSUc8wsomIiIiIiIiIiIiIiPodv5AgIiIiIiIiIiIiIqJ+x8gmokFsgUQv4cN7gF0uAQDsOtTW6Rpjyyw/1NLVVya66bY5wJYqV0t6TFel3zseN17G0egmO4y6EncPTZ22DLat05ZuNtRIeXNJy/P9knGlsVAJiQfQEmkAriz8r38OtuebF12OiNR0G5nfOedfFliWllaff9HlLjahJz580S5rj8NsOeomw+z8Hnuwsvx0oCOautORsUON9tr/qPErGHtwqpU4snaJakrt2QgAyEyd6I8UilxCaiM7bP0UqN3U/p5eYIefTAYADN/bzmep1t53YeHrK9jfRl9qh0bq1D09gJLA2zZaZOEOZ3c/PRH1SPt/JgIA5tbY94bDjh/v3n/mLbH5Do93cV4fTG6+6bcAgMsbv+ee0+ii38tr6rvf+y8AwG+v/02ftkEjjgC4/B6N6fjbvX5khiQMuqimc+U9XWMjJt11I86TKKUOudbQa5XTz7XL8DzA6yZzSp/WawaNWimnsTR6lRLxgFTCnqNbO+w5/8G/BmM+HvzLTTh7nG1rW9rOU685dN0XNxvUStyIXptolJDGAGkUUTTq4eFJN8l6Bq9nWtttG+Jxz7VVY4Y2HGKv8XISkRMpAA0SlaKxThproo/nNnmIROw8o3JNpRE4ybL4G42X0jhIpeunb2d1NREsarLz06gZjd/RCKhCEcjm/Pgfu+zgdeGR3xiP++4O9vOxEieSleiZkim5/UiXVStRohqLlUr4fanTa3uqJW5I97tSybh19yRkR/crjazyulhnjX7SyNJ80bisaI0FO0Jik3TPfHryzTjpDDufnMQBaTueeLj7c9LshXblq2y6IzYaahde6CJ+TG28gR2npb3kIlL12lqjiGpStmVtHSUXWaTX2P41tUQZZUpun9NYUKXP69P5gnH7VVvadpAn1zx6nBZLBnMW2XYNrbHjaITQpiPsTlNTFUU6o/upP+9y0Yjnb7+VxM5ddEljxXPah+VRs3qu0A2Xzuq5w59Gx397jhw30eDC27KeO5/oSxrVtFTiiwrGw+Ks7oh2G29aEw/MR/s24gFbyz3b552ybWV7YtpEADZO5+MW+1qmfaF9rWokAOBLdbYfS8aPN4pr7JtEGnWWxUXF5NgsymsJGVcjf3NFGzkF+Mfx1nUSVxUvyfN2mo6ch9acfU1jq1IyzOTt83OW+jFAyzrshPPTdrhjxPaNB/8cnZNzmm7zOt2XO407V7TLMqskso5xQj6NxkvEPBeD1dQajNOa3yKfG2RjOHBj2+EaEazRxXObZN/JMyef+oYx/nvJYDCY1qW3WCFBRERERERERERERET9jl9IEBERERERERERERFRvyuvciMAdXV1aG1tRX19Pdra2ga6OUR97gSJAXjk/mCJ6v5HjceoDWxp5TIpz5zXbL+zPHhnW5N76y039Hg5p549wZWjPSQl8nsfIWXzUnmcL/rl8loi/MLjtl37HWnHHTXMQ0LK+CfdZeMYzjzPliffe7d9fO75l+EeiWrQ8vm41EK7aIOOkmvLuAttzMOfb+95dFNXvnaCbaOu5/OPrntlv7pN3nim+7bveqjt03f+eVO346xrdjrIrtMHL67iOu3WaIdSCr8qUns2BiOiVnGZW9fafXjWS5URakS0ak45a4J7b1oXHX+aH0MDAA/8pefrMuHy7wKw71033/jblYzdt445ZbyLYPEjHu0wI9El8RhQJetVlfSjXIBgJIfG71xwcSMA4I7bJgYeG+NHqNx9pz1vnvfNywKPddx80aAqaRvSKXEw1Sl7YaLxMICNGCqncTcaJZXJA8/+3b6fnibXI3mJColJUG5rh0FOnquvDs5P4y81HqMjY1y8UXNHcBodtzzqakVOkViolrRtq/Z7S9oOqxJ+jNDwBvubRkh1yrZ5ZvLNOOx4u++1dtrnRjTYoUY5fV0iiRIxf/t1SgSNRknpzec7n5awYX0wKmijYbajdNv98Q8TXcSSxqrp9VdH1s4nFgGqkv7vgB9J5eK5yu54NVqpRtrX1G5f1L4uFv1rOo180vm0Sn/9+4nK6yZtVzzmt0H3a43Z0Sgp7fdXn/Lno9FNelx3SKzSkDrb4HlLiq7v9Fq6rbOyPXqtr/2fjNuFp7Myv9ooliy3O6Hua0Nq7TgLmkrSBiAl19/hfUaXbQBEpGPyGhsm/TS8wbY5pcdVtoR5S+0BpMfx1qNsR2nftncW0dIRnI9GitVKfFS8LMq1WBapBAAZ2c+qkh6ich+gx6bGl4Xjv8qNlRi4Tumn+hq78FLJP5e4aKOYH22lj3W6/3wu2ytr27xVtR+NNDdjX9u8Ss4zcTvD+io7XNwWwVKJ3E1JFNJ2w+24yzok/ighUbjV/n6u90+b7WfX4QuZR03EoF7iieZn9W9R7eMtq2V/SBkkZZwaOY50PTUSbGmbPaYBoKVT48ysupTfN3qO1P1Uj8dcQfdFiQgrO5fqfAol+9vbz9tttPthE9AhEUu5osQ4uf62jdmxvoC0RAPpOmxYa4d6fmjPRaBhWat83b8eOGusfV/U46hQMPhiie3ntOt/O26VbL8hNfb9gLrHzxV7T/tw2pTxKBUzA92cPhOJprDbITdz3wArJIiIiIiIiIiIiIiIaA3gP7UmIiIiIiIiIiIiorWGMR6MGTz/JH0wrUtvMbIphKVVNNhp3JHGIC1vszWYrWlgk+G2aOqvf7ZRBj+57gcAgKyU7P/iF7/qdr7fmWAjIJa32hLwSXfd6OIK2jrt9LVVdpnpjH1sjF9qnJX4Ai0DX9Jmx33nnzfhKCmXf/LhrktDz7vgctx9RzB+SWMZtHRYS7ark15FvNODqxB1sSp2PXTCgMQcadzVK08Fow3apdLxtae7L7E94Gg77ktdRBGsy3Y/zG5rLQMvfz783Ip8+WA7n+kvVE7TMKYRACDpAqiVsubPX+ldNJgata8tw29I2vl++CKjm4hW18lnTXBxO489uG6d7449dbyLYumv96/+cto5E9z7skagPPqA7f/jJJanZPyYFqW3bn+/v/ttpdNr5M/tt06sGOf8i+x5VON7YhLrUj6uxrZkJeKlJJE25bFYen2jz50oETltnX68UV1VcNkad1Mo+VFBGlWz4VDb5g/m2Isijd85/jQ/4krjUrT/dNp8wY8I2qDedpxe22k01FN/677fDjp2vGtfQ3UwwujFx1d+bBwhEU06bTrrR+7UyHWfxuR869IrAABtHbZ9ze0lFKR/9fqvrjp4LdpTeq3z3CPBNn9FromqE34Mk65zT9bvmFPsuBpJpQ45bry7rtLIGI3f0W0dj8Ktn0bfaERSWuJklnREEYvY6T6RSEZdF91+ui8VS37EqZ63dN9TVcmI2zc0+ilXkJgcNwQWLre/67Xikd+Q42eoXUB1KuIiozSWaPJ9NwXGLd+vNFZL112jnOpr7BN33fE7fFOOP40CUxr31Jk1LnJV27yBRD9p9E806kcjpRL2SY3D0vuVfMG4dde4MI15XRFtn24zjXlKxCPI5uT3mMZp2fm2SpzVBvWeO59M+cgO578WvP7b9+vj0ZYNfhCl8UuL2+16FgxQHQv2zyKJX6qS/WSjGtuWrUYAS1v9uDjAP3dmZZ8sn1OrLHu7jez0w+vtfLWvAb8PI5KZpfduxRKwpMVOp9tC48JqJIasM+dH1Ok+qPuDnnP1PPbF8oiLhdKoJo1jqpWdPOoBaXmtTtZ9uUQ31Uuc1dC4cTFCdUk5Z8t8tafffHbdeo9f0zSWTrf11Dme2+c2kVgvjVDbfAP7OBkHPlpgx/m42T63qUSczX21b+571nX8XLH3tA/f/ueEQRfZtPuhN3HfACObiIiIiIiIiIiIiIhoDeAXEkRERERERERERERE1O8Y2RTC0ioa7PY/ypZljtrA1l5WJaXc2QPa07bk8qFJXUdAaAySKTtraPzRxd9uBABsMsLW7S5tziEudbqLl+cC82lut8t5/MGb8XUp9U9Kqb5GNxws5fQv9KCc/tRzJnQbW3HyWTZW4eFu1qncGefZcTVaYKAcerxd96G1dhv1pO3UNY1qymlEiJR+f/wvu9/ucdgEvLUKkU0rMkwim+QwwjApIZ+fkTrnaRMrptn6AHtMSZU/Zvy7BxEVu9vl4O3K+RFRz1xwcSM6MvbEUFtlYwY0tsJI3oO+v1Hf+caZExCVSJFiKFJRo1AiEaAoES4aZdSWtiOXvz9rlI4fa6PRInbaR+6/2V233H2n3ZYXfqsRAJCSa590p0YbGRdJMaTOXpAsa7EZKBrDYsoufpISFdMq0UMaUxKLBiOLAD/WRCN7AOAJiaDU6MiYjKyRKPr+73lAu8ReahRLPBQZU5Py3DgNNcFru45OO7/FLf769eS6SoWjefY/aryLYBlSY4caUaXbQYdDavx4IY1QGTHEPqHbvLWj5CJEdf20bzWK84iTxuOZyV23ORxRCfgRTRqN9MYz9rV9vz5+hZGVYXvI9UONxCT+OxRluefXJiAp0Toa8dORk3gZmaYz77n3dx1H+0Sje3JFP8JnzkoiHvc/ajxefjLYjnBU1REnjUenxEGNHGrnrf2v+0zJwPWp9ldzp+33LYbbho7aIIb6Wnv86THQ0Wk3ru73f/nTje6+QpelMa3dbTMAuOiSRgD+ca7n3nlLSxgxROKvUrY9ur9HIxrBVHJxQPqaRlFl5NhLJT13r/Ln21fcpxd/uxG3/b+JAICzxmrcq0QAVUfdYz36OyXGSvtS1VR5SMm+/MpM+9yslyrfQ/RacfRGti8/bbLL0G3UVdzNnl+z+6IfNSdxRTWV66ORbsPqbFuaO4w7FjaQ51rSwfNFsehHa+m9oB6XGm0Yj3nQXmjtCO73GtfWmjYuOmrDevtcTZWdr543ljTbBpb3XnOHHbrYKRm3rsqfbql8LFOS6/hk3O8DjezS/V6j2ahnxl1oo8rmLLTbZnnaQ4tENjWkJI5pmEQfp2z/L2s1WNYu8cpNcqzKxspPvWENtXztxs8Ve0/78K3nLxt0kU17HHYj9w2wQoKIiIiIiIiIiIiIiNYAfiFBRERERERERERERET9LjbQDSCiNUujkTTiqLwc/9SzJ6xwWo08APzyTuVJ/XQ0quW/Brm8Lf0Ml1tvKOXY511wuYsQ0HEuuLgRAJCWkujzL7rcTaeRDUkpI9aa7QXLijj+NLseS1vtS1q+vypxRwMd1aT+KaXGK9sefWnvI2z/JeRdwRhUxAL0lZ0OsuvVmrPfic9ts7XaXqIO5q2+LfN9W+KYNLqpFKywR3vOC0+y2prenBh4XNpHjpEuoppUV+X8YcP3bgQA1MXtMTH75cr5bf9VGzOgUVRq1L6XY/5rK44rIFrXafTfkFoP99/Ts/P4HbdNrHjuxNPtfNqlKvzc8y9jbFMfi0aBksR8aPxIVUIikWSchyfdhG+cac/Zy1rs+75GtJx0hn1+8n03lU1vh8PqbfSJxsnY6eyEeo2QyZUC7dF4oCH1USxpstlDnVk7vbYzKtdNsVjExZm0SexIXqJddB0yOf9NRq9dNFpEY1NyBT+qSeNI2iRaaahEquQlJqUjC6Rk+RrFUpIV15ioSMTvg6Wt9rXh9aXAMoHuo5oOONr2zSYbeGhut9O3pO1rrTL86jF2nPLITh0nTC790N7pX1NUJe1QrxE3HWbjPefMT6NGonn0/bmp1d9+up4aK/TqU8F1yOT99/C9Dg+Oo4/3/fr4wPwB4MsH2/6f/kLX54vRh0xw++OyDmnzV+x7elvBPm7qLGH2y3b6XQ+189NYyCUyTUfew9CUxAnJ9mqSa5+6mB/t9flKopqU5/lt37DWTq/70BFyHswXKuOl1Onn+teVR59sx9f4sDHSXzMW6d8rFpDL2x1oWIPdCetrNXcsGMUKdH+9fYKcVxtqoy5KTLeaXvtvMMTuKFuMipYdf7KfSxtqqu04xuRdLJsebxr3lpMMoUzOuNil407V5UucjMQ76TmlfJ/WmCh9TefheX4Em8ZXRSP2Nb0nyeYMOiSuatZLXff/lvtfhrqEXT+NO9Le/lyimnY/bAJScs4YXmdf0/XVafScYNdZ5iPt0/giPV9UJ4GIrNAGDbYPa6rsjDSOyZSM+13j1DL5YPRcNm/cvqZdppFPKhHzj3mN5rvrju73bT0v6/qUx9oBQG3Kw7I22Qa6zGoTGDde9mlWTarbRdEKvPKx7dMNJAIsHjWoT9p9ZKsR9jl9L1nQZMdd3BapiJnN939TiWiQ4RcSRERERERERERERLTWKMkPDT6MbCIiIiIiIiIiIiIion7nwa+6I/j/yZ3/8ZzWR+eeb2NfehJRUV72DfjRBDEpm777jt/h0vFXAABuuTkYw6NxT8ZUnoA6s/b771Tcn191SmIY2gsyTrCcuFQCYlIa3CFRG/pYI6oefcCWTx918ng8+XD/RBF1RUvVH7l/1Zep5ffPTF5z7S23n0QkVEvUwnOP9G07NOLgnX8OXFTW7odNQEzK7t98tn/7efjejVj6xsTVnn6z/exx09NoB6L1zXe/918uWuSaH/9itedzyHH23Lf1qJiL7vjjHyb2tnl9avyE7wIAbr7pt/2+LI0X+v/snXeYJUW5/799cpq4s3mJSw4KAgZUwlUwgCCCBBEQVC4XNwwYQPRnuipBhAVWLldUriiiICIYUBARFQyI5LjEZfPuhDNzcurfH+/7dp8+M5t3Ngzfz/Pw1Dnd1dVV1d1V1XN4P1tWPUoqIZ2yfEC+3/erkWOnKZdsLjYdyC9/Nt/b94ubR6ojAeAjZ8zxFCW5YlCv0qwpsrnc9IamXrG86WQIg8PiLVmelW2mE9lpSjiQt1ZzPX2THTOxSzIPDMtJ04mwp44cLgZ1JtbOYsWvoylFSlV/HwBEw0BG1SK1Fn3VcFFS29/V5qBPNUymYGlPSdqvrympuD9Pmz4mXzL9imxvuKNfp2YOOWqWV8e2pKTWFlurOfD70M5px9ga4Q2Hy/VIRF38827ZdvxHZNuEDumoWET6Oleso65anP5h6YyVqt6M63liEeDeO4N1f5NqGP+tWsa9Dp2NVEzKKaiK8en7ZZ8pKf9593xMe6vMo/FwcPXZnZTvD/9h9esR0ydm66rVethf205RRWNDxTJD2m+ZMJDT69aj9VuuyqaqOVAevQrRA2S9PFHVjDVXyvG0Po6fTkjIxrzqqjpVrfL4fSPrbrpK091M6pA6tKUcby09QVVng1rRFfqslKuOl396T0TrrMd0+M6gp16WhbetVd91jPR36zU76oRZ3vM2fWI0UK+M6pii0RBKqmzqz8rNO6DPYzIuuRsu0JGWOmdVz2b9Y+qmQtlXECXiQQ1areV/s/31rX49z/ykXMe0vneUVRdVq7ueStaerZSWa4qj5YPA33+/5mfsDYfP9sccrUd7IjiWhBxgsqptrb+j4dG/Zwuud1zr+1Ra61eq+nnSOnabji5X8s8da/FmmO4uruOYvecBvvbKyimU/bOnk6rg030/X4M6195zdDjwtECWdrX5GrlWJZURDvnX8NCjfW0Z4OvjGq6zxmf7dc8bpN/ePl2+9hdCSEXtXguq4Ux916rPIyPh3xU3HuvDf907B416aUtXZ5MRCidw4Luu5r0BRkgQQgghhBBCCCGEEEIIIWQzwH9DghBCCCGEEEIIIYQQQsjWg+vAdZ2159tWGE9t2UiobGqBoVVkPPLhj87GrT/e+FDVU04XpdPNN17tKZtMcWChtPmixNkmEyG0pSTkOaeKgx9+X1Qz79EQ3fa0g54O+V3UdAVZDRl3msZpUzdYCK5pHpqxMu04Cy21cN3BvKSRkL/vL7+VcFPTKlkdTO/UzLqolz6oeeycv/n52IezHvFBOec9v9z6Q2ffpgqo1YX57nXobE+xsCG0Khy2Nma8bS4W/W3T6ZZ2eccctMflpl2XNs94m6gINmUdCNkSfPKcXgBAV7u4JC677DIAwBcuuhAR/V9tvvq1Sza4/KNOkLGqVh+5SN5SCr21YaqRG673n+/Tz5I529QbNgef/nHJe+P3R44FNpcWyvK9PeVrgGzuzKTkQyxqiiOZnOt1X89hmqe6zoc2N9/2k2vwgQ+rpkO1IzG1v5j+IxpxkM3LF1N3mBKpMyPnHMo3vLnalE9RzWNqF8fxz7ti0A3kadVPxCJAPBZsp60JrJ4hBwiZnlK3mU4mm1c9TAzIFuQ4UyxVVfHTkVKlUNnXOQ0WZF93WrUkeu5pE6Sii1fVvbaXVI1k9+TSrGSeOamBjrSUU6kG+2tQ6zWYB9KqWGpVNx14hK2BHE8jky1J2Tt0SyPsOjQaQFSfsf689rOWY31b0rVareFghwly4PaT5CBfvaVKrkIDq1RJ9adfS71M55hUZchw2UG39p2t21ppVjZZf5sO0tYGuYqD5/+yZiXpbu+UZ6a/HMIqVQehrh6tsHqsHpNyEwf0Iq7XK61akyV/Dz5T2x88F1lVK2Vrkk5TxdKSovlpysCT3wUAdB/UCwCIqUqy0pBj+h+aB0CUPwUtrzslxw+XpRJRPaYt4Xr93JWW1LRatj51XV8LZtc2ofdktyqcXllW9+7TCe1yDlvzz5giB7+6pIgJHZLpnn+LTmNpXo5f8Y95gb444oOz0JWRikVVrXTT/8n1OO/8zwAACqU6ejrlRn3omRwAYOWQ5F2QlXI7oy4mJKXSu0zR+qkKzMabrvYoinr9Vg7IQ+E9j7Wgumk0jevZ/9ULABjWcahYbnh9Z+VM6pS+WDXUWG05xu6HyH0VD7vec1LRcjqTdt/K92TMf35NixZygsqmij5jsYhfHxu3TKk3MCx5XRdI67VO6BjXOrZFI/59YPeO9aXbNAvamG8M5YLjQzTiIKx1rzZp+gB4475d+1zJ9TRRmWRwXLW5oFpzvTHattkYadq8eASI6Rz171f1GWuXzFO65PvSfhcPrqNi6KgTZm2W97etiv1kTXBAj/RbwwXyleAfTEt1X5kG8F1iXeDfFTceT9n0h7mojyNlUzicwIHvvor3BqhsIoQQQgghhBBCCCGEEELIZoA/SBBCCCGEEEIIIYQQQgghZMyhsqkFhlYR4tOqgDjtTAk5rjd8tYGF6ZrSoVyRDdUasON0CW+/+OJLAQBvf5+E61qo8UP3zMe0t8o53r6LFqQjkoX0Nlw3oHEAgJyGuVsI+t23z8fxH5GQ/JqGM5ta6cgW/USlBtQ1BD6p4f21FqVEyAEeuCsYrmuhxnbOUMhXI5huIq+RhBZifc8v5+OYE+W4Vg3UGarM+OEoyoxNzZrOZaqL3/1iZHjy2hRLG8rWrlZq5Q2Hz8bj941eV1NdFKsOnvrTpmvPjLfNxeS03OcP/0HKnfkOef5e/KsoDnZ5xxy8YTu5h3eYKjfdlVdcHihn5jvmePmNba3/CWnlfNV7XNFyv19wwedgAplLL710g8s3bdHkrhD6h+U5jKpKwnQYphrZHLSO4R/7xFxPk1hR/UirXiMeDaFclbr/9Mbgs/6f554HACgU6yiUJf9tqlqyOXNqt3g3wiGgrOoNUzLavG+KkYTOgTZHN39OJ02xJJmLZdebc029kdD1g7WlVPXL9BU/ktocHI/6ihJLrU/CTdqPUIt+yc7RpvUyfUux4no6E0sLJTdQfiQi9QeAYbX4WF+Y/iYcwgi1i6XDukaIhPx2xSPWX7pPdScDOT22AbRp2X05OWhQFT1dCTn5Y3+8xlNqDhWC16hfy2m4wL/uWftcfpDOaUN6johqgCZmJF00GMJgRfZ1xHS9p2sqq09U9UXN86Jp1myNWKpYP7p4dZUcb8rGvQ+TOapU8xUhpic0zU5Er8nKgnxoViXZ8TWt13N/9p9VW3P2q/ZokpZriqQXdL7c/uC5WFg0d43efI9r/+3Xq6W5yNi61C56ZVDSZ37knTN6gDxvptvp1nvbzjlYc1AqZmXj0zdgXdn3cGnnE7o+2V/n9nDIRb4SvH4xva9MG1Zv+PesrcntPt9O9VqlcsM7V2e7bKvoWGDPWjQSQjYnBTy/uK7lqYotInlN+5SK++8KplhKJ6Xcqo5VTsi/R5b3S7krtGv68lLBtriLoqnJTN+jehlr584TG54aqastrHUNatZsTMiXXPz+9qD+zW+fpA78Z960U6anWxP23mRap3oDyGk5nopIU1OqVeu+/iyu94rVx8azsrbfcUaOlVa+Xde2pN/v1h4rx4GpkvxxyuaQmh7vafMiQCzi6+sA/5hi2Vf9hENB9d1gk85O2iT7hwr+n6DaVNlkc421LxEDUqrgszHDzmm6p1rDf8ezvnitX44xHVZn2m+HzSHWF9bXHWmp8E9+uPnm9q0OVTe9aYL/7PNdYcPh3xU3Hiqbxj/8R60JIYQQQgghhBBCCCGEbDW44+wftR5PbdlYqGwihBBCCCGEEEIIIYQQQsiYQ2VTCwytIq83LHy9Odz98A9IyLKphyxE18LNk3HH25ZKyO+aFsYdi/q/+F5/3bxRzznpLb0AgP2m1XC3hkmbIsPCpqe8Rer1jpkNTw9ligwLgf7RDSPDak3dZOHEFgqd1ZDhwYIf0m0R9g+pxuBgVRTFo364sIUc/+W3kufdx0qectUPpf7DHUENguUJN2kZLCTYQsZ/cfPrLwS2VS+wqXnn+6Xf7VqtiTdoXVwAUb3GYx2WvPdhszdK67TbO+W+f/4vqw8n/8gZkqc55NxUaaYhs/u8XLOwehf/vHvTarkI2Zx85csXAhBVREMH/S9/9ZK1Hjdr9vkAgIjNcarv6c+Kq6LhuojHZICwmc20Reui61hfrD6vrRCnhGkoTHli6r+PnjnHU1t0pGVyiaimqKDqjFQ8hP6hWmCfHWPEo46nLbn5RhkzTv2YjCGeNrHherokw9SIhuk/fvaja3DsSTK+WH/ZGsGoN1xPd1jXa2XnMm3UcSfPxu0/lc8f1PJ+qRpGm+Nv+8k13rrB5vI/3il5Tj7d1DUOBlS5ZXNxs5oR8LUm1RoQ1nk6FbO8kqkt5StD+oeDGie7Nnm9Vo2GX46pRUqV4LkfuGs+Djta6m4aE8tr6wlTJqbjvmLEKFb8sRuQNcwRH5wVKMdTs+g5+4b9tY5hc7JRazie4qdQNS2npO3xhuYBlhX0njN9jNo92lTREw/7mqDJbbJzctfoGqyXVjiegiqpx9vclNM04riYkJRy1jSHbn+wrBvDjpTz8gNXB7YvfPAqJA7o1TLlmJ3apMNy2qd2zJveNdvbZtjc2/NmKWNVqYJoVBbK1Yo5vDR9+oeSvnE28JjWWXUoHnW5abZvi3sqqiXm23H1xoykJX1sZLs7DpJ6dKs6y+rejN1HQyVpi/XfB0+aNeK+Mm2OadbqDRcdmaBMwcZXGwPi0RBWDFR1n+Tp6ZRjbCy6UVVzn5p9vqeBMsWPjQE2JmSSjveuYe8ZN/5gZLtMLbd4QNuVlXNO0b7IRF0ko0Fd1X47y4eONsnbn5WT9g/VMZiHtkvSCW2SLldd1JTOkePUmrD16JRuOWZVVuqSLTiB57YZU4BGQv7z0ZWR1PrW5gRTuyVi/ja7W01NZDrZWMR/Vu0dzcYi0yvV6k0qPd0XMSWS3orlqot21RqFvfLkw3BBDs7mXbTreGl6u3LN2qJjio2LVddTIVp7TONk42Ku6I9lpmMyMik7dwOL+qScF7JS0L4T5aTtSb8PbC6ye7dVB7xiUDbce+e6rYdN5Wv9/dvbtv11tI0pe02obXJd7+sR/l1x47E+fOie3nGnbDroiHm8N8AICUIIIYQQQgghhBBCCCGEbAb4b0gQQgghhBBCCCGEEEII2WpwAS+idzwwjpqy0VDZ1AJDqwjxOVrDUX99q4RtfvijEt7faAB1C3nVEcRCqy3ENxxyENfQ4JDG/37vf+cFyj/s6Fl4dUACtbxQ833PkfSJ6wCIumnZPyTc+8xPSrj7DddfNWr9AOD9x8s2C509SEOgG/qPB8UjrqcDWJ6Xcy9WXUBaw6hTYSChyoEpGYktHi5bCLu1z9dETMzIRgtvtVDyoQIwuVPyWEi1hTmbAsO0WL+6deNCY487Wa6NaS7WlWNOlLqaCuTDp87W+rmjKjK2Zv7jGGnLH9cx3HptvOld0u5aA3h8NZqpN/6H5IlHfO2R6SEyUbkvEvpM/Pvea/DeD0kdf/eLDa9jq95sNM47/zMAgBdeK2FYDRB/+rXkf/ORcrzV953vn+XpIhiiTbZmPqVKo6kTZeA0RcUXvnTxBpX3sU/IszqxS/wQ9rJT1sF9cKiGRFwGbVOMmNYp5JjSxsUtP940Y+PsudK+Ff2iEjGFhqkv2tN2TuBWPeeJOi+bgsM0FPUGUNG6Tp2gCpWS7LTtEzsjGByuB45vS4UD7Q2FgL6s5DGVodXD6uXN/2H/paKqeigbf9IJSaMRx1M8WV1NJTVU0Dok/fnV5sqYjqNWfmfa8c5v86ddzwFtU6UGTx9iqiDLa4qj5n7zrn/NzmF1l0zDBddTi9icbteoLekfW/aUVJK2zvuxiL/NU0jpd+sD2++6TX1at21yUDLmq0dKqlhqS5qeUr4/9seR9+buh4iWqytp2hz/nKb2cfXpSqsCZ1VeGl6oO958YRoYtbXA7FwTEpIhFnbRFpf6dKsCx/rG2v3KqhCGVI3UoXkHdL21Utvkui4y2u+dquEp1VWF8895suMNs+BExOnSpeu3ds1rGqoX8iGgIZWdlJACV/xjXqBvnDedBwCYHG2MUH+mtTwbdyoNBwsL3pGaaubKkKT1IuBo5ePdkpp+yda79TKmtbcDAJaYkeLRqwJ5nKjcYBEHqKpDx9pgWFtmvG0uJqf1WddrY9d4UpvUL5P0nz+7Fp0ZVbDq+NDTEfH2tf4hyMZBxwHaUvJw5opSL9P4DA7L92xOTvSrW+d77xFDqlEdUFVSOu7XJVsI3t9/bdFwHnr0LPTnJc9SvS/NRmf6sJ0zdaT0+CXDkseu496TpVP2nSknTcQjWLy8GMhjith1wRRxIcfxxticXke731fp+0bIcb33ke5UI3BOUxLd9yu/vYeq2q11HDQdU6Xqf7ax1sqxMTcedbx7uVVdZ8omwFcZ2aX27nPt3ETc8eY9b/zS411tRP9ww7vXTGsbb9FEWVsaDdfL29Uu1yhXCM5R0bCDQjl485lqzNrnABhqabuveZKTNr8bvU/fE+Oax7R93jhbG6niHe39wt6Xcjq33DUOlE3Y7UQAwJSuqd4YMtocQtYN/l1x47E+/Oc9vajXxpGyKZLAm6lsAkBlEyGEEEIIIYQQQgghhBBCNgP8QYIQQgghhBBCCCGEEEIIIWMOlU0tMLSKEJ+d3i5h/aYH2GWihDn/4Q4/7DpfDIb4Wlj35K6wF+Z7840S+vzxs3sBAOmkhOYuWVnBqyslz0P3BENdTYXz2EAYeGQeAF/R1KVh5f3DqgWIOJ5GYdmAlGfh0XkN+V9RljQTBnIawh6xkGVNCw35UG34ocXGdqogSEak/GXFEDS6GdtpWGuH5vn77/22vO29UmdT4bz1PbMCeY49SdvUFsb/fe8qbCij6atWxxkfn4sffl/O9QE9bl2UUXbNbx1FT2Ih0FsyZPnt7wsqOFrD/AHgQFV4/eue1dez9Rrte/hsb98Tq1E3rSsW4t3ZJjfs9dfNGzXfm941G/++d/RznaAKrakTo7jmqisAAKecLs/qy8vtmZC8f/7N/BHKLesn03+YuomQ1yut6rpzzhVty8BwzRtP6vq8DOucl1GNz883UGVn52xLyVxVKLmemsJ0E6azyCSDE1JbMoRwOKjBsPpVdWIazjewbFA+T+qQfRNUi2FqjmrN1yVN6AhrOaZaUp1IA57uw+Z3m+8TMdlhepOjTpjlbbNj8iVTxJjWyW+LKZdM/2F9efSHZ3nn+s3P5ZqcdNpsLUfqOVyoo6dTOiqTEk9HWf005YrUvVCqY7jgBtpseg7rY1MkxaP+uJlXK4ApFU054rq+YsTmTFPo2XharvqqEmuDlWuavSOPm+WpXKLhYF6rl2lc8iW/PNNEDZdN+eJ657b7YHXavf3fNdtTLVkbijVrl6+0jKvuqKT7omHTHskxtQZQVV2SaZPs/24rmbpJ2+Q4rqcsNPXTdLUWDaqq58W+MBb9TdYjHQf1Sv207TktH7Ui4MrxmUQKgL9u64nL9pcKYbgVLdRp+f/tIurTqpeBmuaJqI+rYTdESjNLwT1RFzFVPdW0f6z/UroOrDWAZXkrL6On1j6t6DtkLe9porx6PffTYP32OAUIiTZur4mibnr6/uC40vPmXgCiE7W1a1IVUs/cL8/ftLeKsqzhAhNUx2XsNFG1O6bPCfnPqI0dpsmZ1iM3nOP4Sp/518ha40OnyHO4qE/yZksh7DZZ1S6L5cJPb5cC7V7c7Z2yPnn+L74Gydb4dn8tGJQbpSvqYmJaju+SLkVKusZT9SwddLy1fUKvRVY1X9Y3lQaw5O/BNfVeh5pi08pVdV07MLFLNq5uTTYap50p7Xp1ha8+a7Q8890ZqZD1VyQMTFB9mSmzTLVkxz5w13wcrO8OpnKzccvq7iuXgp+byzWlUbkKJLUPk6ogrDVMPQhNHbg6sleqdlxQzZuMOd49ktRxPhm3eUjHi4ifp1K1cdj19gH+WBcO+dvqehLL6yt/fS2e5WnWTFnexX1yLrtHrI8t629vG6laMu2YYd/iUWedNIzveP+sQHseuGvbX0vbGNwda/gqZbLB8O+KG4/14T/uPm/cKZvecuSVvDfACAlCCCGEEEIIIYQQQgghhGwG+IMEIYQQQgghhBBCCCGEEELGHCqbWmBoFXm9cvpZc3DjDyQ8c8pbJOx72T/WrhAyBc5e20uodkE1Dy589YOF8sY1ZPinN/qhsEeq7qCkYbarchrSq2Hze0138cxi2VfR8P0X/ir1fO+H5NhYxA/pNQ3A46skrtkL+ddwf9SKQCgS3GaE1c/gOLCw/aj+bBt3pC25f80DAEx6Sy8Kek7bZoqryRkpt1p3kIwFw6INCyue3ClpvgRPO3XPLzc87Pf4j8yGnWpDVSIbgymorH133775QpgtfHo0VdNYs/dhs/HUn9a/v4/4oNS59Zofc+IsT21iYfOmLiGEjC1fuOhCAMBry4uedqKnUzQmQ3kZ+G/8/oYr9gDgo2eaElG+D+YanvanqnqOXabLXJVSB057RuqQHa5iuCCZJnTIxNqXlUF3UFWG4ZCvKbJ5cXpPSMuX7bGog0RMtplmw3RHpukolV1PVWN6IVNm2DE2d7WlQp7+xZQgpt6wcWwo7zYpOLRcnZJtHHzPcbM8/UhXm3wYTQFla5ZZs8/Xc0iBuYKk6WTIu16tCo5DjpoVKNeFv46wbcl48HvD9T9b/eyamSalMcpbld9vkpp+pTm/9UVaz2lzaKXmK1k8xUs5uD6JhN0R6r09D52jefS61h1PxzRccbxtADCkeqZc3fHOtUMiuD4qNfWNKYwSWt7ColSkJxpsfLbuL3ymqlopE/XvT2lLCDk9f5vue7mgHVZTl80T1wFvVHViSPfVtYOq+q7mRIC65vfWci0+LMcBaoVgnrDqnEItnq1GSRRPzXltzRht0/Y7UOMa+h+aB8BfPy+vyg63nAVcu0n0wjeqwbbUSn5dbX0aSQXrY3lDMTgRqc8E1RWtKkv5UxJyzmTExZ5TpK6m/Km3PMOVmq8Cs+e5eVwA5H4rVmTb734h99cbmhSWAPD4fddg+4OlzXYf2H05Ua/ntDapXywMlPVah0NBHZBtf+K+a/Cmd8k5JnXIzk7VHpVU8ZYr+fqyvkIo0D57P5j21rkjlE27vEOeiVrDNENSXlvM9RRlE3X93qrf+dApsz09kSnqJr2lN5BnRqaO9qTWWY1gKb0mDb2O9QY8na31u41p1qZMEijq55ymbapfsnYOFuxdCejJqI5L37GaxytA3mbsPjDVko11niKuAZS0Xqass30JvU+qdV+Za6olu2dsrilVXG/MTydDgX2Wt6T3VCziIKz3Y7VpTASAnKoRQ01qMRs3bYy00SYSdrBqyA3ss7bb3NSsszVdYlz7wkap5jnizUfqu6mqwR5fg671P46RvH+8k2t0EoR/V9x4qGwa/0S2dAUIIYQQQgghhBBCCCGEEMN1/d/nxwPjqS0bC5VNhBBCCCGEEEIIIYQQQggZcxghQQgBAE99AKxd1dTz5l6syg0AAP51j4So/qslz4dPnY2cRtT//nYJdTXF0lmflPDuH1x/laf0MX3C0/dL3h01BPzpxcAbd5CfkfuGJFb5BT1Ht6ocBnINT/m0PCfbTKNk4fMNDcpdUWvSEGiIfjQiQ2HVdjVq3raUhpXXW37JDsFFSpU67W+Vc6Q0PN1ChOsNFyWNzG9oiHgkHFRcLB+UdHo38MufBcN9T/iIhK2vj3rptp9c44UjbwlMMzS5U9KTTpM2lCquFxbd2k7joCNm4SG9n446QdpgOgzTgNx753y8S8Oj720Jj14XVZMpxuy+3VS8aScHT/1pzXnO/ORc3HC9PFsnny790qwva6a7PYz/+57ktXBww/qGCidCNpwvXHQh+gbFh3HdtVcG9n3jm5dsVNmnnyVqkIKqOPqGXfS0BzVH/TqfmZJoSncE9YZpjWRfXN0nHW0yV5XKst1xgI6Mzls6p5l6qS1lqgvH+z+wUgk3cG5T/6zKNtCu+S2v6Vqs7qEQkNJtps4wbYiNQR8+dbZXnulVaqrXyDdpHKUOQE9HSx5VsbzveBnbylU//7J+Vf0kg+demXW9fl64vOId15wnX2qgPT36/3vlaZQ0LVdF/wg06ap0XdGsN+lIBbfZ3JRSVUi1PlKZYvO9KVkcAO0pyWRKHCsvp0aCgp47EgIKqliKqaInrSpI216sjWxj0nQ+qtEJO66nvcxWVHOjebu1vHAV0EuNZaqFKj08TzbsN1cbngdC6o8xvVBDGraqapXOAAA6oi4KjaCvsq66J+u3ZWUHJW18Qj1Opo3qSsh5+gFfx/TY9yTd8zRJTaPUKDZ91nrY/3dniqRG1dcvmQ7KtEx2rKPHPPdTjGDfczSL5ClVq4jHg6/SprNyq1r+Uz/wd+51RvAcVheEAOj5TUVVGdJdVr75w2KYrGtNU5LOUG/UsGqHOsKud891tNz/Ly7118Cm+LF1qd23OX32J7Q5nr7n8A/Is2ljlCnFZrxtLl4rBZVd3arnSug9OKD34It/9d8zjI6DegEAaa3DXofORlsyOCYtXhXUOz1w13y8/X2zAnlK2hczVcs0UG7xpAKY0i71yuu+iK7v25PAoJq8TAt06NFSvj2XSwdcvJYNBeps9dmxQw7qaQPakqqk0v43LZApiOp1eOonewYyeky7ji2liv/uYNckq4qmV4ak4AFtbzrkYqkq+XafEPQe2XgWjQAlvY6DeanH9AnBcT4acTzVkqnqTC2VTviaJrv+Nj53d8hJTI0Xj7qe+qkvW9fyTO8kx5iqqlRxPZVULBJU+3W1+cfYvuWDcv1sfLe5s1x1PVXTCn1s7LGcIHY1fPijs71577aWdyp7N7U0GXNQ0DnJ3l/XhCmt7N3rzlu4NieEkHWFERKEEEIIIYQQQgghhBBCCBlzGCFBCCGEEEIIIYQQQgghZKvBdR247sjIt22V8dSWjcWBH3VH4P9L7vwXz8nrkQsvvAAAcMkll67zMbsfIuHRz/1ZQrEPUiVOdwbYeZrEsfZlJU53kYZd7zxVgrN+fMPV+NznPgcASGpI8Fe/JqoMUzfcddt8vF8/z5gkv6Eu75fyutokdHlpXx0rhmRgf6RPA78evWrU+mHvs4BIWj6HNKZaZUIZDRmPOX6YdExDuttUabBMQ8+zD83z+iBzYC8AYHJC4oHb45I3EfWHVwsrN02EYSHfHSkJqwZ8ZYbpLG7/6ciQYQsnv//XEhp8vOqdWkORNwXvOU7O9fvb1z8M2ZQa1Rq80GzTMbROxS7kngCAD50yO7DvFzf77Xrn+6U+7S3qjA2p35owNVLIAX51a7Ds086Udtn1G8w1qFAihAAAPnKGjA+DOZkTQiFgx6mxQJ5oRAbEmE4K0YiDQkkGfVNaVNQjGFYVXqEog13/UA0dGTnOtE7ZnBybiKuOp+56x9XqrrcNAJYNSLnDRV9/YdoJ07iY3iIaATIJUw4GtVN51X2Yish1/XnMyjNsNkxEfR2GqUqsfqaBiUV8dYppTWzeCDfNI6alsW3WFk+xFJY2NudpVf0ddrSvB/S0VdoGTxnY8LfbOU3n1KnLCat7OOSX06aaqQFVqtj2cFN8us0h1t92rop3bsdbj8RVgZMznZIqep7/i6/C6VadTErzqu0ElQaQN2WTHue0TMJuw/V1R63ao6hOuNWCf0AkGSygMhg8Jt4BvU2Rb4z+8u1Whj1dUneqHQDQX25VLpV8xdKIArSjGjVfhRSTckYc06j6675aKbjP0e0Lfj76eQBgtxOD3yNJIKSumEgqWJ9AHfUie+fWGyJkD1ulSR2lN36jHizP6ueE/AvnqbP0YXvyu94p3/oeua9n6nrbxoKlfVJes6LMsGfOqptv0h7169rX7sGwI+mCXATVh1V5Z0qqp38YLHifs0fUbwS7HCdpNAM88yMAwP7vknWg1aK5DvFwUKe6sij9o1Y7TEs1vOe3LR5UUkX1WHsO21Pw1FSt61OzvLousCqviiB9fpK6xp+YkUzTJjieOq+sKjZTNvmaogZKus9URAWttI0hiwccr87eGlPbviAv7XT/3aQZ3L8XADAzreVo/SYk5XssDDh6vYbLqvZTrZapjnraHRTLQaVsJhkKfHccx+uzqs4BdowRDo/8x1ptnrD2danWL19yPcXVrTcF311MWZuMO96ctrTP5kfJk4iZys7BqytMXSj7JnZIpv5hVemGRq7j7d0y3PJu4rrAhA5ptKlT14Spmqw+t/x407+HkW0T/l1x47E+/Nvvzke9dd7ehglHEnjbe6/gvQEqmwghhBBCCCGEEEIIIYQQshngDxKEEEIIIYQQQgghhBBCCBlz+G9IEEI8TNV01ifnAgCiqoL432uvXO0xngpJeegePyT2s5/9LAAJUQaAPbeXcNbvf3eelyelIcFf+aqomj41+3wAwHeuucLL092uagtVXJiqwsotlIHlGko9KS7naHuHKDNMsTTlLdKmvpr/O+zkmBw/WJXv01PyPV91sKjoBMpbqd/bNFw9+uZelDSU21RPi/VcyzWisDPqYpKWmUkEQ8Ytolm7GL+9bT4+8GEJ+7UQ6KqGz3/4oxK6PJR3kYpb+Lfse19LyPHJp8/GT2/ctOHCG6NCcjQGOhx2vTBuC2n39BUaDt4c5m2hz5HISM1DT7uFucsB1icbi2mwTMHRqfdZIh7Cxz4h94+Fb//ohqtHFrAa7PrdupWFcb/5SGnvP++maoqQTcH5538GALBohehXYk0avuV9MtF0tcu4YvojU6kMDlc8DYaNaHX1dQzlxT3ywlLZvs8OIcR1HF3eL+X6yh9VVEQcb2xNJ+TDoGmd1PCSjPn1MG1SrmjHSBpyfOWG1ceGahuz//wbGUM+dMpsX0dkqqBqsE2OA7SngmO2nTMe9Q+1ubKk2pVaiwnHcXylki4NPC2gUW/416Ck8/whR80K1PlPvx45/r39fZKnrHOwqRZzJceby03bki3I9wfuknIOO3qWp/5YOeTXA/DVJ/Wa33e2LatrjEK1pW+qDtpVGdmveZK6DllV8htsqibrt4oqkhZreW6tOsLR5D6mc9IbzpW0UfE1Qo52nNvkrAGARtnXB5X7dZ92VFgVTmHVF5X6kIt329lGL69WBKJt0r58Vs/tBPM0KkE1E+CrlUyj5IT8POUBjI4DwDxf8eAuUybNPNbfbwoor86NYFtqRf9NuiEfnIiU267rwmwNQF1dNRVVNT19Q/Dcb5zt97vpnBrFlnNaE0JNOifNU9d077MkjaTx6Crzg0p//f33wfv8hI/MRlLXTgtXyjnseXpkpbSl7DpeOwy7Tz3qZWD3k7VdLaqm5vsKEC1TxAaWhFdXOble+/gEzNT1+yNaLyciA0OX1mV6vOE9JyXVkK0o6n0Rkrpn778aHfpMlHRs61KtqmmLelRx1DcMdGk1smoks+fblEnJqIvFhZDXLwCwZ1zHU7100bCDdNIUfFK2jX8Dw9K5xYrrKe6Kqm6qaRusp1NRF0Ml2fbMsLTHtYqg5X6QHgIg7y6APz7YuJOtOkjq2Go6p4SurSeq3eznTbpXU6aWte7JuO+aNY3gUEF1hI71k7631H0VlZ0/qev5lD5yhWY11GqW7ynVBJarLio6+Nv96insdA6sVl3svp30U1H1V1Z3y9uqawKAnk69VjoH2vwxmKtjSd8o6rXVYHNorijn3FrX/IQQsjXCHyQIIYQQQgghhBBCCCGEbDW4GF//8PF4asvGQmUTIYQQQgghhBBCCCGEEELGHAf8gSaA/Uvu/BfPCfH55Dm9AIDrr5u3Xsf1nvdpAMDgsIQ1WyjzMlVXdGbCiGsob0zdRTVVVpgu6sorLsfnPvc53SehuMWyhNJaNP+LS6oY1Cj3eiMY+vzogIY7W6h8JClh9gAQVa2AhdPb9lDYDyPXcGS19yCv5UccoKrxyI7G+U6OBkOpY2EgFlKtUFTSmIZSm2KiWVFh6oijTpil+4IqjXjM8aL3oxoSnVdvlH2/7ScbFyJ88ukSatysffr42b0AgGRcKj2/SacFAB/7xFxPZWSYesuisedfcwXO+Lhoj374fcn7n+eeB8BXgvWe92nMu/LbAIBZenxZw8Pt3jv9rDneNblRyznhI1LnmPaX9YXblGd9sPvd+t0BkFTlyXda2k4IeX3zX586DwUdh00jaNq9jCoJK1XX00GYwmNCh8xNHW2SDuVq3vGhUFDNN6lb9CZPvpjXch1PldGuk1O9HlzO1+qup6vQqRMN1X5Y+YViwxvnzAgS1n3VpvI8fZJqjzKq0zDlhbU/Hg15SsaTTpNx2XQWRiYVRlzndxvfS6rZyObqem5fH1PS6dksPqYBCTm+jsmwNcGwahMjo/xvVzbnWjntugz49ShKj4OOmBX4nogCubIqT3RO/9vv5Li3vkfy1hrAv1Rdaeon61vriXDIb5/1reWxazWkOqZCzfG0NBldP+RUu7Lqn/P8uh3QCwAoVbXDHr925Hbd5mGKn6h6W6pDTS4pXQPV1WFTzWmFo77uyDRH7mr0Jk646Ys2LNalDdU1mdvwy6sMBctrPr5VlzRiO0bXGzVvd0L+uaxsp9XzVfa323GhaEu97EqGfNWS5fG+y82ZiQC5kvadabDCqisylZETlr63Mpv3Wb/Vq9ZIeHdSa/tieh2j7di9XVWpUyVdNii7mtVNtta0S76q5bV3yXAYi0otnlH7UFB/nFsHFtyGjUbvRSfeAdcqZGtza98T1wEAZrxtrqckszX2or8F13qT3tLrfbY8bao+q+hltHV5d9r1ns1ayy20bEj6uL/s3yczMlJAT5sc35mWozszIVT0HeY11U2Z7i2vt1W17o9Ldq6U3jI23vfnHX8sq0jZw1XZmdWxIO7oWPCvecgcKG3t1vYtfHDkujd6gKy3J+p7itqOMKVN2tKVAe66Te4N08d2tUmmqFa4VncxaGO0GbK0nCEdJjrT/uNh6tWyqqna09qGvNShI+2rB/PFYMe3p/1n31SBrSa35nnSdIcDQ1I/ezTqeq1/cbP/TjNrjrxfFHXeWtInjenW9pYqLgZzUt69d1JpSjYc/l1x47E+fPB356NeK23p6mwywpEEDn7vFbw3wAgJQgghhBBCCCGEEEIIIYRsBvhvSBBCCCGEEEIIIYQQQgjZanBdB67rrD3jNsJ4asvGQmVTCwytImTTMGfup/HSEolRNjVCWSPOLdR3sOhg3+1lQE4ngwFbFsY7/+orcNYnRfVj4c2m4TEFULna8BRD+79LNBGP9Gu4r4X3Wfh7OAGU++VzJBWstIW7wxkR+h/VWOpqVeOuLewfQCbsBtKkahXCDpCrSvu6E1JewiL2Q6Zwku+peJMFwDunViviKzSScVVGaaiyhTKXq75e6Jc/G5sQ43NnScj3tfOvXO9jzzn3PLSlpbHf+ta3AAAXXnhBIE++WPVCsW1mquhF/+7/zFvrOT72CbkfWvVR68rZ/9ULwA/j7shIfVsVVQBwut57di+e9cm5+MH1az/v3F7RmJkmxcLd43qx7XpeecXlG9KEDeaID0qIfqsC5Tc/Z7g6eX1z6TcuDHzPq9kvnZR0WV8NLy+Wecb0RCuy8hxP6vD1cfasm77izlvk2Zo9V/QR11x1Bf7rUzLGmiIjkxYNzIJXVdWU8udJU1z0dMpDa8qK5tQ+11RbUdRzd2WknI5MGP/zHRnPW1V1y/vrWhdgWNtsuqOE6vFMyWH1CoUcT5lXUR1TQ6dS+37jD672xuq2dFA3ZecezjdQUI1Tvy7FbWqw9YQDf8407ZHti+o4Vqn586j1QbhFl2LfixUHjmpQKqpEevy+1SsQba3ha5hUNxn2dUw2npaqQc1TJOz3i6maLM2rEspULdEQ8Pxfrg6cu+fNvQCCyqbug2Sb9UXzPgDAXmc2OU+0gqapND2TpwmC7zyxPAt+LumuJ3g6Ij9vOPh9NO1RqxrJFEdoACFVGFXtvWsULdNo+qVmmrVBM48NnsNTLTUdE1ZPjmmUvDWfpq47Utlk7Q7F/bytmiglmuiQJlWrQNjqYRfdFsPDfh0aLSoKUzSFm85l9aqqHyeSCOax8sNxTwvlRGSf++/gum3KW+ZiUkpVa7pmfUhVY+98v6wHyjXgn3frGmC/XgBAtzal/6F58mG3E4Hnbxm1Dzx2PkbSl+5cc75Wdj1e0uRU3aDte/xaYH8ZK3v0mTKdWUGVRoW6rzDqjMtx9szXW/4Q5LpAt/bFkCqqFhfkntZhCJ0R11MtTU7LxkxC1/q6PRH1x6CcXs5VednZk/bvE9sW13cGu9utVoPlEJaqIsrUTJ3azoKOTQPaTrfhQo2iKKnGCo8Er7WNF4Cvr5qQlPrsMU2233rTNZ5mz9bhnW1SsM0jKwfrSMVtfJdt/Wojs/ErGZPxDfAVUOeontXmQBvnv/s/87w5L6xzp+n7vve/8wCIXsmGrWKLGtGUTUO5uvfZ5qSf/DA4ZgLwzuXNM4WgfsrmjVLZhaMnvf2nq58DNlRnTF4/8O+KG4/14QN3fXrcKZve/r5v894AlU2EEEIIIYQQQgghhBBCCNkM8AcJQgghhBBCCCGEEEIIIYSMOVQ2tcDQKkI2DV/98oV45mXRTCxcIcPMg7+T8N0OVQtMSTaw93TZ94ubJSzWQmAtRLdZ1fPxs2VfviRhthWNaLdjAeC4kyXk+KFX5ffW5RVVLZWykqFehhf2rZqAmd1tskvDnV8theBazLKNkA2N6Q1pLLLb8DQFFi7drSHVFoYNAC8/EAwb3u2dcwD44dsW6u04fsizaR7+eGdQl/OuY2ahM6Nh2prXwpNLlWA/NmPh0om4nGzeld8ekcf40CmzV1vOxvDJc3o9RcX3vzsPgGi9AGC7KeIAGC4AX/vvSwBImDYgyq5mPvGfvV4o97pg90wyofdDv9w0t/549f1koeNd7aJ0+Po3Llnn8zXTe560z/QrkUgIF1986QaVRQjZ9FxwgWjj7Jn31UEyWLkNFxlVzZmKKKLj++Cw5CmW6nhhkShqTEmRTlhe1e3VXIRVKRGLBjWFdu72dAzFsswzmaScs1iWue7VpRKmPmOS6Ff6stUR6qG0jnE2j/zvtVfi1I/JfJOImVIJXn0sHcpLARM6woF29mXrXp6CGniSaobJytSOdrUeJnUeckK+TjCs82KhJOcyHV027yuN7PjutlCgbyJhx5svTM/Rr/1teo1ipUnfpOsFK7ehc3kq7qKk6wTDtCg232sXI+T4uqOK6lCsL8OOr2N67I8yd7z5yFmBPHZsre741yTuBvZZ/VIxIFs07WKwfrZ6GChJnyz6m68CNC2TFoOhur8e6I4EX+c8pU4zu58sqSmDbF3z4h0j866JXY6T1NMuKa1aJVMlyU5J6qbPVGVSuKkM0xRZ/UJNOqVWNZLta1Y1GZ6yydRSzYoe7adWzZS1xc7thJrWfVqO59W0dtb9ckKxYHmRZFO7VDNRKwTLqbfcnIE6K1YH69tm7ZTtsz60OtSKvq7UWJMuadcTJLXrFe+SNNqOGcnguvYlVRl5Cqj9z/MVXcXlwXqt7321Nvabqx8c7Nkh90PFnnm9rKZjWvjgVZjyFsnfHguqldIxOTav7wfDFcdrn2mZXjWtkn7virpIReU4u3ydyeAzV675Y088GtxnKqhaw8GA6pjatLzmdw8AcF0X3XobFPS2z5jCNRQsd0mh7r2XdOj4WdDyqqawC/nqp+mqpupSZdPff+9rlfJF6cxUUsqz7/5Y7GLVUFADaFifDJUcJLXtHTq+T+2WdqUSwWcuHgt584Jnk7MxN+Q/syt03d7QnZbHtFG1hv+Ex20OiQTLiYQdZFLhwDab562cYtl/L7vxByOVT4SsL/y74sZjffjX344/ZdM73k9lE8AICUIIIYQQQgghhBBCCCGEbAb4gwQhhBBCCCGEEEIIIYQQQsacyNqzEELISD7xn70AgKkTRXv0318Pam262oHtp0jI+vRJpmySfdlcn6QP/QjP7XN24Lh/LZA44J0njzxnPGaKA/kttVDyY4bPO/8zAIAlKyV0fMcu2bdoiQbyxtolLWcxo0M+L1Jlwos5LcTC1R34eoB6UdKG7nv6Br9Ce58FACg1JC55SUOG1CkWNe862PFgCRl/5UHRLjz/FwkDfr6lbW9/3yxP62DKpqNOECVESQ0HybgfOm1hzoM5SU0RcvSHZ+HXtwZVT9dde2Xg+5y5n8bVVwW1TabKuv66eRgLmss1TUq+IGHYi1dIGgmHPFWTMbdXtEfJhHRKpdISJ74WLAy8rNoPUzV95jOfBSAh26awsryJuKq44rLhy1+6EDU1EFjI+ORu2df72dXrnOIxKSdkCpOQgy998UIAwNe+vmEaKELIpuPSS0dXqJ3/aZlPGq6LFX0yp3Sqwq2sY1BJXT8DwzVvzJ7QIR9MjVRSBUQmGfJUPMm4aTnkeyLmayxiUflsGp9VgzL4m96ppkqpH37f1/gYNgc2M6VHHEvfvvxbge3/qXq6//veld5cPqVH5vKcjsvdHdLeV5cW8atbZdz8wIdlTrKxctmgfJjcIfUqVYGQE9Rq3Kvqwbe9V44Nh3y9SlFNL/mINDiinqdKw/U0Gtan4bD095JVda+cB+6Sst9wuKgGY6otCqnWZKjoIKH6kFxZVVmqb6mbIlG7v9YA1J6FZ+5fu65jWLUrjl7ZTNwvN671MEVTQo06pmapNVxEtI5OQCfk922zqsnor+lOU+J4aqMo+vND8jneDcDXO/UPLvLzVlUZtCZ9z7rwwu2S7nzM6PtHK980StZAqztcX7tkeUz1Y2ooO9/6Yv0UVXdMvQpP7mLrPVM1mXbICIV9PVKrNsmkWc15XNM7aXlVVTA0qiN1U6Zqsu2hSNOasx7cZ31hfe04vg7K9E6RtJ6rqU32hm/ltPZtoK2a+bmfj9i1aM/T5ENZtafWl/v1AgD2bK9jZVHGilWhGbJv+JXVn9PasT73oN0HlUEAQCbVhWeyTb5TYMQ1ih5wHjri0h+2traxaVVeHno112HR367CzHeI3q5PtUnbq9pouX4fqjqo6LtHTbVQT2mX7KR5oyFgqKLjjI47CR0LXs3pujLka5cWFmXb9Lhq8zRvqeE/61HT7OmAama2ZSW9ro0S4Mr1y9ry2O7FJ78n6QHnQW1FaNdz7TJNCt7t4/KO0j9U83RH/UNyfLVq46gcmysBcbvltDybq2ysy8RdlKpSznBRdV+q2zM9YVtKCimU6p5K1jRKpk16ZaXMfQM5UeUBvp7QVFBGte4rfBP6/mXzT1ebzcmOp0D0jGk2PmsdbPtYvQcRQggZCX+QIIQQQgghhBBCCCGEELLV4LoOXNdZe8ZthPHUlo2FyiZCCCGEEEIIIYQQQgghhIw5DuBFkRP4/5I7/8VzQtbMN//78wCAi/7fxaPuv+iiC9E3KCHwg8MS/vvIK/Jr8MsFib+tPnwlYOHgjgRsOYlOAMABEyT+9l/3zPf0OrmClGPaiv4hibfNlVwkNUw3paG3QwWJ7X1ssZwroj9Et8UbXgj1a0O+KgMAuhKy/ZmsA9Q0RjksygtPL2AKp1AU3m+6lick5alhAnUX6FY9RDISDN+O6KGmdqi1RPQDvubB2hYO+WHR4ZZodeOu2+bjrE9KCPYPrh+pfACAc2edh6rGqm+J0OSLLhJtUVKVSJGw1GV5X9XTJ82ee77m0dDuolz7+ddcsdbyPzVbjv3OKHlNxeJoxw3nq/ju/8wL5PnaV+Te/tJX5N6+8MILUKla6L8cd3mLAuVLX7zQ05BUqnIxL7vsskB9Mqmol7+mce55vadbtVqEkC3PnLmf9jQPMXVnLO+TucA0SqaYAOApLzrbZdzKFeTYrvYo2jM6x2nevkEpJ1/085jSwsanSy4RpZSNW1d8+/IRdTzpNNEVPbFQvr99T5mHBobqKJR1bM1KeRPaVCuk88jETsdTWph+cfGKUqCeg7kahgt6nDa1PSV7b1EF3lvfIzqmgWIIGZ3zbDz0VEZ6bDTiz22teo1I2LSMLjLav9bPtm/VoIyZKwbdEboQU2fZuYdLjvfZ8tZUm2TKJMNx/H1l1aWYanE0dlHFix2TjskJnvrTNas9xjjoiFl46J75o+474N1yPU0vU6g6yKoealUlOOGXigPaqKK3/vDWJaquyaQnAABy+T7gmR+ttW5bhFa1z4ZofdZUrq3RmjGVkSmXTINk6h80gFAsmNdUOHbDenmbyvHK15uyXvXbsbp27XzMyMXcaGolw9NfWd3l2Z3SMUlr7iARDj6HKV1rPp81TVQYU7RbcnU5d65c0napJ/SpH6y+DsZuJ8LJTAcApPWZyhUGguU8e/PIuq+pfatj1xMkjbY1eXdaVFveejwGhKVfJummtqi0vUPHpLhqlVbmQqh4OjXJW9I+6VbF0Qs5xztnouVS63CPzlgDOdUVraxKppT2iU0T7RFgQMeXql6cqOqKTCGVDrnI6aAWjUjhVRvAWpVjrotoVAbUuI4ZuYrpw+TYaNjBRG17T1LS/XYOefsAIFesI5tX1Zwdru3M6W1RqDjeWNuV0veorIw7pqgC/HtueqcqCxPaP22S1+bJZDzsrZdt7lu4TO6Zot46tbqM4wCQ1us2uVO+D+m8lIwBPZ3S1mQiqIBym4Z5U78ODknhBb0oplH8X67DySaGf1fceKwP//Kbz6BeK23p6mwywpEE3nnU5bw3wAgJQgghhBBCCCGEEEIIIYRsBvhvSBBCCCGEEEIIIYQQQgjZanDdYMTTts54asvGQmVTCwytImT9uPwS0e9YiG9SQ6N7P3sJjjtZ1APPL5NtT6nqAk9c5xew15mStugG9pwgMb6T2xp4814pAEAmJXlKFRm2Fi0XfdLy/rqnfhjMS2oDfbYoYbuP/VE0CnseOgeT2yRMd2VO9uUrqoZQ5cKLw2GUKhoWaKH65X5JLUQ+FPXCoRFJ6z5VNsUkTYZcNDS8OqKh1BM0XNqC86Pa7FrDr/OqopxjepvERpuyqVhp0jhpP1s5v7/d1z8cc6LoM+68JaiEaFY5nTvrPADAtfPXP0T5wgsvAODrRDaUL31R7p2vff0SAMB553/G2xfScOuVAxJafeP3fXWG5bO2X3GFaEzm9n4agK9GisccFEqNUes6Z67kjUVDCKv/6tJLJc/FX5d6ZXPuqMcG2vD/JG886qCqKrGG3jK5fC3QhmmTkmjozqhe+GKppqlca6qbCNm6OOdcGSvbMzKulFThtHSVPNepRAgxVVCYJiKdUn1EXJ7zWNRBNBJcbg8OqzYk5qslzELytf++ZK312vuw2d5xAFBRxUhBdSBvnF5HSrV4gzqWTe4KBY7JpEKeCikek3019YbkVCVVqbpe/ptvvHrUurzz/TLnvDwQRlxVMaZFiWm7rW3RMLDdRDmXqTKG8nIuTxlSB9I6x03slD40Y4kds2hl1Vt3mN4jX5aTmO6oXHNQVRVLTOtla4HR2OtQ6dOn7w/mmfZWmTtTERcv/HX0PlgXDn6v9JPjAGZVsXYWrA2qZTL1005vn4N8Ta+N9oFaU5DNZ3VDsUkrZHsV0wpltocTlvvSLetxpiRqXpONZ3Y9XnWb8PurVXVlek7A1/9YXsMZJa+nb3KDxzTqG6+eamVtSqs9TgXqprbQB8/aouvVnToSWKkqsNzAy7KvVaO08zHrV/c9TgUARNOijqoOLw7uf/6WdS8LkOsFAAtuG7lvdX2w24mSRpJApA0A4ESCSqNJcVMlSZqvOliuiqV2HSeypZZ3AMC/3jaYVXOap+mZU02U/14Q1Gqh3qT5aug5WtVg4YR//UwTFjalmOljVVUVa4d3jW1RbPVy7B0liR313WNqu9R1+4mS2d6nXBcoa9E1s41pdZYPSxu6kg0s1c8vP6Dj4BtkTMPj8r6x16Gz0ZFURW00WM6kDp0fVcPXngl7TV6VlZMv7TedljY71DTHtYyZHRl/HjGVbzoZ1uNMf2h1cL1z2dxm/N/3Vq/mI2Rj4N8VNx7rwz//evwpmw45msomgMomQgghhBBCCCGEEEIIIYRsBviDBCGEEEIIIYQQQgghhBBCxhwqm1pgaBUh68el3xBlTbmq+iMNhb300svQe55ocR5dIKHFf18q4cMlDa3tiDrIPjQPAJA5sBcAsFe3xOQuGpKw24mpBtIxyf/WvSXkOaQxuCv6pdzXVjYwuUu2JVQ78e8XJTZ3+x459te3SjjxLu+Y42mSLIz45YJsqJb1mQ/F/BDqWkHSiIZLe2H4VT8UW3/bTUSlfRktPxF2oVHDaOhI26ZtSajGoqD99tyfr8bMd8wBAAxoGP12qmzKaHh5Ku7rgAw9pRfefMfP5uN9x0sIdSYpZd/646B+Ys7cT6NclYLSCVUHqYbkf74jyqDPfvaz+Na3vhU4zlRNXgh03UK9XYRCQe3RpuZjnxBlxmih1V+4SLVJqj6JR6VeF3zhEnzly6oU01D0b3xTVCif/sxnAQDfvvxb+PznL9A80ieXXx5sd/M5otrPfYPi1+jukPvkq1/zFStf1XPaNV+yQkJMJ6uGDAC+/o2gkuX8T4uG6opvXz6y8YSQLc5Hz5TxOaNKCB3ykEpEkEz4aqZmTCORL9TR0SaDtc0Jy/pk/mpPyxgSDo9UNe17uCiEluscNTUt43SzdsjmjckZGb9M+bPfTr5KysbqgeGG1lm2d7VHPK2UjeGlsszBuYKcq1huoKHOjLqaLmxsq1S13Lxf52VDUk5c57iI9pN9367HwdQeGUhtLimVpV6LV8q5q3WgM+MEztGW0nlW5/hSpYGFK+Q40x3VVc80pOqmhgsk9bytGqYtwVvfI3NzOOT3oVH1NClS90fuHVnf6AGiD6tWVdfS0IZXhkaezNPISHm7TJ6GLtW2PHTP/JH5Xy+Y6iesa7ywTuqNFtXV87f4eWOq36lrf6ueM6DzMYWnqZss76bWNQG+ysgcPVFRE+HpG0bmNaVOZSC4PZIGnvzupq/b2ph5rKRRUbHi2ZvXfszaFFWrY5fjJE1MkFQVRtGYrOerNb1W5VVAtRA81tb3ljZfa0+Ppg+xab+a9Vx2bk/vVfOPsTzWF62qrJnHAvFOLVv9RDDFmK4j7b6F62ugTO9k9dM+zoSBnVreJ0wFG2v610QLOqyY+u65wTBa6dF3mFcelLW4jUmTVXm76G9XeWq6B38n48yBR8j3KdqkSZ1+uTYn2VxpdTANb09HGMMFyWNKv+52qV9ZdVM9HX55GdUlurA5S9JK1fXmG9M5UZFKxhr+XXHjobJp/MN/1JoQQgghhBBCCCGEEELIVoPrOnBdZ+0ZtxHGU1s2FiqbCCGEEEIIIYQQQgghhBAy5lDZ1AJDqwhZPy77puhpnn25CADYeTsJER7ON/DiaxIC/fhr8ivw86q5wRPXSbr/eUBNjjtkewnYmtoteZf2a5htDejKSPaZ0yWG15RNLy6W2F7HAZJx2VYoyXEL++R7TfUHr+Xl99ddO+qIhiXPYFG29asiaZXqkxIhF3UNha+q16lHdUDZur89E5HPOY2SdjQMeHpcNRI1BxnVByX0nGH9Gdh0URZC/Nyfr/b61PRVFhptTMrUPc1DTCOUrW+s3GjEwW0/EdXDBz4sYdJq4PBCtJt/k+/IBFUj1183D4BonSLaPtMIzZ57PgAgnZRQ8VpNGtFw3c2qGjr/fNUbXTG25zzj46KJmtgVQ1l9GtdcdQUA4EtflPs+pvfFF7908YjjL/665Pn8Fy8Zsc+4SFVQ3/zm6vMQQrYePnSKaJQyqhCa3B1DRL1E6aSk1ZoM1Da+L1pWwg7TRBOSHZYBeclKmb9MNXfD9SN1dNsfLGOQzR/v3FPK//5353l5Pnyq1OfWm4KKn5NPn+0pLu66bfWKHlMrhnT+svl1cFg8d+VKA4m4nNf0F/mSjP3LBuS7aRD7co43t9Vb5iqbdyZ1uN5cXijJuGrH1Gq+XmNQ6z6tJ+zVAwDa0/I9Hg3hL09Vtc4IlPP4fdIXux8yJzC3bmnepioTB75u0TSMOp2iUgv+X3PDZQeDFen/FQXVFURU2/LIPEn3PA2oq+vE0pAqXeLdkm4JPc+2gGlzrL9MddWs3zE8DY/e1KEI8NxP5bNplBbctvpz7d8rqV23NWHnatHvIJL2t4XlPjhkO7k/TF32ryYl1y6qdHshp4vEWk7Swoqx0UmtL9ZOU2ZtzjptqArKsLq/cPumqY8x89iRz68pwezea1ZKeTopHTvsHtZjuiOup85L6VwyKSN5bHs45L8rvDQox9n7huUJwcWyfwTnKZujOvW9Jx5pViNJOlWVujYvJvR9rVh2MX2itHNgqBYot1j235lsbEzqXLkyK/ti2kXtSQedbdIvUX1viUV1ztJGlMr+PDb/6itAyOaAf1fceKwP7//VZ8edsunQD3yL9wYYIUEIIYQQQgghhBBCCCGEkM0A/w0JQgghhBBCCCGEEEIIIVsNLsaX1mc8tWVjobKpBYZWEbJ+/Oe55wEACkUJ/91lewkrHxiq4v7HJX78keWiZfLCiiNpAMC0ZMgL853RbaoGyaKGHLQlgYSG5Vo4cSoeDNvtTIvaCQCWDqrOaUjCdxMaBzYpKQVuP8HF8qzkyVckXViQTGovwqpSDR1xDXWOSf3KqmpaUmoKidbQ6WhY9VAto2nE8bd1aZi0KZwsFLpD2x8JAY/9UTQTO71dQuxNQ2ECh+5UA21qarj3TgnJP+xoUUBMUdVVowHUtO9q6swoqMHBzllvAPf/Wo4/+XTRfbi6b1J3VM/teGHXFmZt5XW2iW4jV5CL9Z1rtmz485y5phyR7/Ou/DYA0SqVq1LnSy+9NHDMKadLH9984+p1Hlbu1Vd9G5+aLbqqTCo6anmXffNCT7Uxmr5pY/jsZz8LAEgl5X6za/W1/6bmiZDNzUmnyZgZV82d6wJJnWi62uMAfJ2TjZn5Qh3xmKmHZIBevKIcyBsJO3h4gYypK3KSd7tOyWtqvj5dllbrvg6jp83fBgC/+4WM7W84fLan2vj3vUGd05qw8cZ0StGI47XDlErFssxbQ3lNC7J9qOiXY9Ohp/vQ+WS3GWGktL9yBTmHzU0VHa9NJdiMqY0Kqota3NfAcCmoN3pkPdq5Pux5qMwX6VgjoMNZVw48Qubp5mMP/8CsQB67nn+4Q/K8/X2yP1d2kC2pVlLXLGouQf9D8+TDPp/w11eVIUlN8WJKodcTe54mabRD0tIKSZ+/ZdOUb5qnF+8YuW9NGp99z5HUdDyPjXK/mkYopg92XRQVPV3bAQBWFUvYrVPWYEldT9r9sawsN0bZdeDaQsH0UKaUqusieyzVSBurQiL+fRSWOQXRdgBAIi7vWCWzNLnw7hFTeOHReYGiEgf0olvvlclpOdDunbQeMpAHlgzLuLtENbb2DjBR88qUpffVo6JusrGtoGNTMgqkVDebUE3sPb+UMe3Uj8k4mtV5ozMTQmdGxqmcvkPmi7LP3mPCIWC4KOX9/vbg2Gv6xO72MFKJ4JwRVWWTzRCOA3zrW98CIZsT/l1x47E+/NM4VDYdRmUTACqbCCGEEEIIIYQQQgghhBCyGeAPEoQQQgghhBBCCCGEEEIIGXOobGqBoVWErBuXffNCAMALr0n4XEy9DN0dEqObzVVx50MSGp6tyL4B1R7t0SaxuJGQi+26gwqjx5eEdZ98n95ex99+J2G67zlOQoPLGnE+UJDyQg6wPB/8fbW/KvumxKXgNlUjPXHfNdjrUAnzffp+CZff5R0SRvxCTssoLBElE4COTgmT32uCOKGe7pPw4myxAESSAICEKpvUvOFpmWoNYGVVNnaosikVkTSpaVrzNis19j5sth4v5SbsmKiLpIZA3/cr6ZMjPih9ElcDQCbpKywsYt/Crn96o5zj3cfOQkSjm03vcdzJcs6EuiDaM2FUq9JnP7heQrM/9om5AID/+95V2BDO+qQcH1J3x/f+d94GlbM6/utTog9LJ+UaVWsNXDXv22s97nOf+1ygXpdcIjom0zR955or8PnPXwAASMblen7pK6Jl+vrXPg9ANE322RRXX/0alUqEjBdMT/j8azIBmeqiPRXyxtiIzgXTJsnOmGqdlqwoYUKnqDfqdRlXX1kic+fELhmvhvJ1PPySlhOSMWTP6fK9qkrCXEnVfwkHE7tkEDfNkWmUsnl/WW9zpc0X68PZ/9XrtcnmElM3tc4tJT33QK6BkpgakVdVoKmI/vpbvw7nf/ozAIAFC6UPTLlo5RXK/nG2bbgY/F5v+PXSqQratd7cvrVy8umzMZhTnZcaCKxdlpqypNH0ltaveslXdb0T0by5ugNU9Z2llpf02ZvHpO7bFHudKalpbyqDIxVWm0ovtDHl7HwMEGrRlDlyjRPtsgZ900R5SJ7ti6A/n5U8ekxPSpxuq/45T7bveZqv7hpNK7Uloc5p3TAtmL5nIN4DAIhGZbFfzS2V7aGopwCb1iaaLxszaq4MEDt11BBTg1tG561Vw7Ivqu8mQyUHiwtyP2XNjxvWg9ymQUjVcI7u2y2jWsGkbE9E/bG7TatuxfW06z2t6+h63UWpompZdVDZmdr0hWrKhDiWrpLJ5Kb/CypWP/GfvVIXB56yKazreFvPN7TuV3z7cmxqbE3wv9deucnLJuMD/l1x47E+vO/Oz407ZdPhx1zGewOMkCCEEEIIIYQQQgghhBBCyGaAP0gQQgghhBBCCCGEEEIIIWTMiWzpChBCtk1C+nNmQxUJk3skJN5CdRcuq8HVcOEu1SVtF5PQ2YGSZJrR3vCUEosGZdsSz/MgccUL8w4OeLfohOoah2xZ0lreCwMRrNBt0bCvLAKAZbq9TSP233PcLPz+9qDOIWSHPDpP0pnHemHu2V2Ok3JiEjafrZlPYdgLqS9B6mr6hKjqNo7aP4z7n5RY5WeGI4FzWZ4VhZG/Cz/1J6nfnofO0Tb5WqtSNZjX9A52HRw4Xj9Z6HJNv5/wkdneMeVq0NZ3+0/lnKecPkfLcz1Vk7Gsvz6irmtj1hzRHmWHa155p3987nqXc/LpUnfTTo3G/3xn3cOm58z9NADg6qu+jfaMhHpnksE+icfk2lxwwec8lVVcFVuXfEOUZRd+QdRNX/p/F+KLX7p4nc9PCNm2mNglk8gOU2W8f/IFUeOUKi6Kqp2Y2CljSSohY8dwXsbMXKGBCZ1SzqLlMim9vEKOGS7KoJ6MOThgZxlnnl0k+1apdWX6BCnPxuk1YRqLesNFNtdYz1b6PPKCzF3b9TiIqRKwLRXUypiiqqtdlSGTwljZL+3rH6prPSSv6QX32TmB17QPlqt5pq56QsfRua7hz+NqiUJM50GbQ13HhS4x8MS9ooPa/ZA5G9jazct2kxPYabpc0xV90hfFJu0VANx1m7TpyONmeRqs7pRqTbRPSqrBRAXIuaLtQSg21tXfdnj6hpHbdjtR0uRkSQtLg9tNCbGuSiFTEJlyaY9TJa3mJHVdIKKenOdvGb2M5nPteoKkdbnopUIfAODBhfrKXh0Gomn5rAu/VWV51kz32RZ38cLABNnX1qvtKkhalvIQ6wAq+gAuuC1YH+uL5vruevzoedcXqprWDVNt6TsI8q8BAKqxdgBAR/sUAEAYvgo2rmOkvQbFI3J/xCJASt+BlmVlZ0XHjmf6mrRM9kIR1gG/ri9QDR2AnIinP9sxKffcc38WjdJ/HDPLO5eN+TY/ZFKSJnVeTMTkWenLVrFiUDLvNFXqYeqlQknKX9ZXRjYveWwOmTpB8jT03SadCiOinl+bOcZS1WTki1LHCy4Q7eull142ZucihJDxCn+QIIQQQgghhBBCCCGEELLV4LrBf85mW2c8tWVjobKJEEIIIYQQQgghhBBCCCFjjgOAv880Yf+SO//Fc0LWzOWXiLKmrhYfUziVqxIw+8UvXYxDjpLw2j+/pgeFJCirR40CnbEGhqqqLchreLuFuUdFP9CTyiCiGocdO+Vkq/JyjA1e9YaDgoYfr8hrWHpVXBdTOiUsf3qbhPw6jot/3SMqhHe8X+q3aFDCf18paLBvaSVQLwXa67RtL+es6LhQywMhDcO3cGZtHyJtAIBDtgNe6peyFxU0hll/Eu+OS17TWQFALGjDQFLDsEOqd3JdBwlVBnWk9FR6jKmvMkkHbSkNXdbmLFfVUjIuG/IlFzGtakWsHJ5q6zc/l7459WNzcNP/XR2oz3uOk/76/e3zsa588pxeAMBwoY6qnsvulVt/vHb9yAc+PCtwzB0/W/dzj8YXLpL7tlyRPonHwohqdPpXvnpJIO9nP/tZAEAyEcbX/ju4jxDy+sJUSIWSjNkV1d5Vai5yOl20JSWd1CUDbGebDC7L+8q48QfB8bSVt79vFqZ0yRh920/WPjaujmNPkjHTATC1R84/MCyD75qUd+vDR88UNZLpk9rS0t5kPIwVAzIfxqOys67OpT5VOHVkwp7OKVeU403D2FAHUzjkv5rY/0VmW5I6XkfC/vmrug4xpeE/7964eWJzcOJHRa8zkLM5XRoT0bl5uCDbB/NAWpcaQ7q8UVOJlw4WQ3i1KIuBLl03TFSliikgSQszj5U0IWojVNSPpkoaAMCzN629nFZlU6NFbRnv8NU3ru5r1R7tchzwwu3rVm9gpD7JNFERHYCcCODKOLVLp9w8B+ykGrispPcuDPu6KlUzZQ7sBQCoWQelBpDLLpIv1i+xDklreT1nGk5E9nn/x2du4ejtHK0Njvab9VEosvFaqPGI3a/2nqHKsZ5EDN3xoJpv+275PqTj63MDEdjrxYC+K7m1Fh1TJI0OHbMLqsyboMonU986oRC2S8i2Ge36XqHvc3bp/3jnfBx1gsxB9j7xYR3r2lX5N6Qqw1tvusbTp4ZV71StSfmmnC2U6ljeL/OXzavtmaDgIxoJwXFM+yfbLr74Uow1vedJ3StVqfPMGfIcvLRY+vQ711wx5nUgWzf8u+LGY334xzs+h3qttPYDthHCkQT+49jLeG+AERKEEEIIIYQQQgghhBBCCNkM8AcJQgghhBBCCCGEEEIIIYSMOVQ2tcDQKkLWjW+rsmnFgOqUpsn2lxfL9weeKCBXltjZx/r0IAvxDqtvqDYMPP1D+bzP2ZJWLWxeQ88jaaCalc9RUSH1JCRGWM0ZiDlAf17zPH0DAGDSW3oBiBYKAKJhqddTf7oGb3uvhBNni1K/BTkJ/62WtX7F5cCLdwQbbOHStn2PU4CQxipX84H6AXLOTKrLOzynYdLTNLTaVBOWJiOuF+5uIccJVS889kdRLhx69CxPCaJZPFVFTdMp3SH8+AZRg5zx8bkAfMVItWYKKGfEuWzfr26VEOuPn92LYlmO+8kPg6qRD50i4dcVPebXt65ej2F56w0XDb1eppkoaaS4Rmjj/l+PLOddx8i1CoetnsB9v9p4Hcc5554HAMikIrj88m8F9v3Xp2TfjMmiOohFXa+fKqoku+j/XbzRdSCEbBpMIfjGXfPIl2Q8HxiSdOWADB6fu2jDtGumlCiUTPOmSjzdX6273liZUzWfqfRuWQct3Vhx6sfmYPmA1OcPd8iYaZogG4t/voFqqCNV32e6DtNr1OouOtLSP6WKDPTppHy3fntteRWZpBM4rqD9Z+rBctXXCJpWMKp9mtE5sFAG6tqOP9659Sua1sbBui4p6hzzyL1ybTIH9mK7tDR0j6nSp7mSpHYdk3EgryaDqNpMBtR++dA922DfmIJoXZRJm4rdTpTUlBDhKBDWG7yuixXVIHl6pV2PB+p60750p6SmcIqoZ+v5W4B9z9Fy1KETs7WhKjyjjqfdieu6r6D3Qb5mWlP1dUVT2CkledvjkrcrJald+5dXhbznp03LNSWorRnTcWD5sGR6ZtGrstF0QDa6pacjE5HPudxK2TbaNbE2Wx+sD3ueJmlN+2bBz9e/7ztiXgABAABJREFUjNcT1tdhddclJyMR1Xeih+cBAPY+TMb5Uk2u3YvDTX/qsXcsU2XZy0Ak6d/fjt4HpiHT7YlIGHuqOrc9KcfZuv2YE2X8ypeAroyc1zSxNk73dEqdX14iDqiJnWEk4nIP5gpS7qRu0R6FbE6pNXDFFZcHuuDTnxGdakNfJuKxMC65ZOwVTc2cc+55iOizkdCHK5uTsaAtJf03XKjh+uvmbdZ6ka0L/l1x47E+vPeX40/Z9K4PUtkEMEKCEEIIIYQQQgghhBBCCCGbAf4gQQghhBBCCCGEEEIIIYSQMYfKphYYWkXIunHHTb0AgFeXSVh6rjBSZWMKggd/16IMsND4UBgdbZMBANnsEtnW0PD3aAYA0J2ZgP6hZbLNvDmqc5rRLoqkVRUHGvWLbFlD6x+/FgCw16Gzg4c6wHBFviwqSZhttSKh4t0JaUt/FcCj80ZvuKmb0tP9kOdWzVRIwpKjkQgmRCRWudKQc6rFwlM4Wb0mRFxEnOBw3JWQ7w78sPwH7pK+POKDswLHG9FwU5ntUj8L3c/mpS7phINcUfVNmtexn6e1CrfedA2O/8jsQB7TQt3+U1FJvO94qcNdt61eCfHeD0meSBiIhqWgYT23RYqXVcnx19/Ox9Eflvxr0kCtjo+cMQeAr6j65c9GlvGJ/+wFAIS0vZGw4+U3ldTELgl/n9wd9uo+pLaERcskXPR7/ztvvetHCNm0XHOFqJoGhmRs6WxzvTFs8Up5rp9/Vcb3Wl12FHWKGCz42iVTLJkWyNR4r/U5OHCXoHLomVdljkqKWQLxCNDTKYqGUkXO2d0uc8DVV317UzRzo/mAjqtpVSXZ2PuzH20apZSN8+EQPB2TKZsiOu7Ho5JGIg6SLZqOviHpt0ldYS+vabBiqsVIJWTfwLBMGIWSi2xBzjEelE2tfFj1WoWSi37VLxV07RLR+Sumep9EFIiZqkkNkn2FUCDvc38Oqhe3Kvb5hKRPfk/S/UQ3iUev2vx12eU4SZ0QsOA2+Wxr1ni3pE9cJ+nuJ3vrPS+NpAEA3apxiYVcbw1la4w+1TClQrIhDKD/oXlrrJYpcVwX+NurES1HCj5wQjWQN1sKYUFezu8WVsjGsAxYTrwDADA52kBDR8AVK1+SPFHVqer6G9EMUNXFT7lfUiqVNi+tCjC3Htyf2Q49euuZ9mtym6QpnaMeeC2CXCEbPE71tp5ODABcXYzbe1isEwAwRcuZmGqgU1VNf/mtjLlHnSD35bDZyCK+Zm/HKf54Dvhz6HBe2tDZFsGiFTIhV6r6XqBV2ZB3gM3NrNnnAwBiUWlXq1qKEP5dceOhsmn8E1l7FkIIIYQQQgghhBBCCCFk8+C6gOs6a8+4jeAyJMCDyiZCCCGEEEIIIYQQQgghhIw5VDa1wNAqQtaNH1z7OQBAviS/az73soTdzr/mCi/P/u8S5UAqJsOM6YY8djsRcCW0GBF1ZNTLklpYshP291XVWxDW0OWQqHVmdLRjeUXqUa1JrHBPXEKFJ6eknKoqkp7/y9XY5R2i9nlhVZ+U8+xNkpqOyQkBL9y+9k7Y5+xg3Wsas2xh7426r3Uyj5L+JN4jVccqjYxOhOBppyzt0vDreNgfpqd1BYfsunZfV0bKz+ZdtKflczImaUh9AUOqbGrWYVRbor9Nj1Eou0hqHU25MaSqJVNArUnVZJjWqdHwNUn2/zeYOuW+X21caPa5s84D4P/fBhb63XBd3HC9KB/O+LgoIGIaOh6NmDLLQVe7NHTVgNx7M6bI/WVh5Zdeehk+85nPAgAuv/xbG1VXQsim49JviLLpqZdk7J3QEUWxJM/t8n6ZC/7ykozBq0q14MHhKGwJ/PGDZFNCB9+/PCkD8+PLc0BMFCcHTZTjbVy0IT0VB3aaGtVtwf97y+ryg+u3gHpmFM78pIyDuYKM/wM5F3+4Y9OqMQ47Wsb8mJlstEtMi9U3DHToFGmaIdMB/lbnlHcfOwtDOp0mtBybL2oN0xa5eOierV/rsaGccrqsU8Jh4Mc3iG7pBNUo5sty31r/ZfN+f/cNS/8MloL34ot/3YqVTbseL2m8S1JbF9qa7/lbxu7cpsQxQmH/c2qqpBXV3ZiyySiv8j9H2vR4GSASUdW4NRx/cVJaqXn0wjV0TLI16JowtU5lEHjup2vPvy6Ynsqwda+thV+8Y9Och6wZuwdfutP/HtYHWuefZtUWANT0/xSemGx4Wldj1ynyvU//jPHEygiyRX2WQvr+VNV72jRNTsR3t+p9PiUm52rXd7jJbQ3EtVppLSYZNyWfHFuuNjyFkan5yqoybE+b2lAG/Fg0hHxRPod07vz+d+etppMI2fbg3xU3HuvDP9z+OdRr5S1dnU1GOBLHu4+jsglghAQhhBBCCCGEEEIIIYQQQjYD/DckCCGEEEIIIYQQQgghhGw1yL8hsaVrsekYT23ZWKhsaoGhVYSsG7+8STQ5y/skPP25VyXs9pUlEk43mHfxxztVp7B/r6SPzJN0n09IWi/7iqaQxgFH0pJWBiVtVIG2HQAAHfoTal1HrVypIB/cmh9qXFINU4ty6R3vF43EX387H9jrTNn49A3r3mCjWS1Qy8vn2ARJTdehdYmGQ4g7UtmcKqM8rZNpnnQIToSAusqMJkQkvDnh2Z4kz9S2BtpVdWHaJJvQTN2UjPlaonxJdranJPOqoYZ3rOkzItZtVTveVEbAL26+BgDwftUupRNB3dGSPinvT78eqc0wVZMRDQMVjQzvVL3UykGp3713rp9245xz5d7r6ohpe6S8hlkRynKi4XwNZdU3WUdFtcHWR+2ZGPIFaXxdC5jQGQcALO8red/t0l588aXrVVdCyNhxliqIiqqweWFpw1P85Mry0D6yssVLZ8HBobBo9QDs3inbdpssY9qvXpBCuiMu+k110UokAwDYu7OOlUUZUHftlrFnhJ5wK+N0VdgNDtc9JV//sPThaOP5hvAfx8gcYHOUzV0LV/kqoe17ZKdtSSXkOvzkh1fjU7PPBwA8/5q4mnIyHKNUldyvDYeRUJ3he/Ydf7qPj54pyqahfMOb3wd1yWHKK5u3I02WIVNkWX8tHJSdyYiL5/68FWubmtnrDADALt2iqRmqhrDiH/M2vtxWPRPgK5qi8jwHNKLhZCCrqUBXleSedCJxTFWtTSqiY1CLGmv7g+diYVbfJ01F+vQPJVXtpxNLw63rAsm0TlYPWyNvTn1Sq0KIbDimxdK5Bi/d6b9H1O0BVv+RXfNwFIn0ZADA1IS+D+j7z5KCjJHdet9lYi6606pU6tS1dVa+27iQSTh4Ybl8fnZICqqWdTBBw6tfd1qet506gnNme1LKS8b8Mcfe7/5T1+OmgXUbLiKmRNXjwzrHXH/dPABBHV1bSir5P9+5EoSMN/h3xY3H+vCeX4w/ZdMRH6KyCaCyiRBCCCGEEEIIIYQQQgjZKrnwwgvhui6uvDL4Q+6Xv/xlLF68GIVCAffddx/22muvwP5YLIarr74aK1euRC6Xwx133IHp06dvzqqPCn+QIIQQQgghhBBCCCGEEEK2Mg488ECcffbZeOyxxwLbP/e5z+H888/HrFmzcNBBB2HZsmW45557kMlkvDzz5s3Dcccdh5NPPhnveMc7kMlk8Otf/xqh0Jb9SYDKphYYWkXIuvHYfaI9+udTEwEAz74SHEoiYQcPPSNKpWVZCdddoVqLVdllkqleHqFWwq4nSGoKpnAc0VQPAKBabQnVq+ozWs2NLKeFg44QfUSuEsILOalHtaL6pCeuk3S3EyV9/hb/wJnHAgD23X57AEBBdRGxMPBMtmUAN6+P1ctt+O0IaUh2WOOuVV/V8+ZeKS/kojPeCBRjmIKhPeGiS+eVIbVVmbrJlA6pOBBXZUlRrAKIR4LfXReI6jYL6bZTtqneKZtvQK0EqGnZ7clgnpq6sxwHyObls527Vg/Wy3WBWCS4zequhiXcfbuvCnn3saaJCpYXcoAZk+QkIe0YUzZZmHhUG1Wt1jGUr+m2YN5UUipTqdZR0lDz665lyDgh2xInnz4bADBckPHnlVUOsmUZWBb97SrJ9EbJg3oxcKwTa8OOSRlYJmdkDPjHShlb3Jp6KRzH16xUW9aEjg5oG6L+24o46TTpn4Iq/lYOyfa//37D1E1vfY+M3Skx33lqj2NPku3VGtCelnH4pzdeEzj24PdKnildjjcP3vYTyfP298k+U/8tHg6jS3Um5ZpkbtXlrA+z5pyPgSEpPFeUcgu65LC5q2/YnzNtXv7zbzatnuu4k+V65FVDViwDf/lt8ByHHCV9YRqsJxeH8cqQKFicWBsAwP23zGdvepeUV6w5SKhW6JF7g/2+1WLrwXgn8OT3xvYcC34+YteOB4vazPrWNG2oqcatXva1TlHRjfZEpY+npWXciEdcPLRYj7exwjQ+jt5M6enoUI1k9qF5G9mgFqhfGnt2P1nSetnXz1r67E3BvDOPBcI6OMY6AQDTMnIPxXRNPFB1oMtSlDSdFpf7ytSku0+U+yvk+OPAiqwWq+NVQ49NxIC+YX0PU+VTQcdMG8cyERft+g6SifuKJkDUSgCQjju+BkrfA+zd4QfXy3z7if/sRbUmx9saPxEPBeqzalDG2Y5M2HuP+OH3rwIh4w3+XXHj8ZVNF6A2jpRNkUgcR3zoUkyfPj1wb5TLZVQqlVGPSafT+Pe//41zzz0XX/ziF/Hoo4/ivPNEm7dkyRLMmzcPl112GQCJhli+fDkuuOACfPe730V7eztWrlyJ0047DbfcIn/nmjp1Kl577TW8//3vx9133z3GLV49jJAghBBCCCGEEEIIIYQQQsaYxYsXY2hoyPvv85///Grzfuc738FvfvMb3HvvvYHtO+20E6ZOnRr4UaFSqeD+++/HwQcfDAA44IADEIvFAnmWLl2KJ5980suzpYhs0bMTQgghhBBCCCGEEEIIIa8DRouQGI2TTjoJb3rTm3DQQQeN2DdlyhQAwPLlywPbly9fjh122MHLUy6XMTg4OCKPHb+l4A8ShJAN4qkXJwAA6g0J2J3YJQFXL75WAgDstkMCkztl2x/vVI3CXmdI2lAdxpo0SzUpB24d1eHF8jkiYc1Oolt2FZauvRzloXtEefAfx8zylEHVhMQjv2yZUlMl3eMUoKIh9klRUk1ul7DiioYiLxwI4907SNjxo0tlKF1V0Vjqhio+HAeIZvRj0MM08S29AAA1RKDTAcp1yZOJSTkWSm1pJAxPo2TbTMNkegzAD6GOaAxcruRXB5Cw6YTuMyWFqZZ+8kO5ViedNhvlqtTj/l9L353wkdmBciJh+dBwXe/4sl5aCyt3m9Jf3RrUThx1gmqZ4lLOsSfN8vK3aqu62vyAvrzGsBc1pr09JTHkvgJROjUccpAryrXoyMg1ymqH92UlvfnGDVd8EEK2LLttL5qU516V8ToRAbI6pu19mIxXOkzh+SEZi0tVefb3aq+hpvPX35ebu04GoIOnydeXBkJYlrdBUuadaaqRm5yW8eeRpzdxo9YRUyDd8bONUwb97EdBfc+JH5V+m6Dj88I+BxWdm57789rHS1M9mX7JaK7nO98f3Gc8+LvVt+WBu0buW7LW2ozkk+f0AoCnFSlV5Do++2oFiwdlEllS0PlC57NJOr8W6kBe75mpMTnuzUdKW7rkVkQ8CrSnpZwf3xDsryOPk7zNekLrp5cG5B68a4GU365vaG3RBrZXdZBNcRV1GA6oOeiVB6/C/qpmeuTeoHrw36pn2vPQOUiqTmj3Q+YAWLfruUUZRaM01ufIHNgLAJieamBxQQePmureKuoz07Xi3j1JpLRPU3G5WRYOyFV6Zkgu4JsnVZFJdQAAcqvTQ808FtnWeqkuFC/esQGNaoKqprHDrlG0XdLnvjsyj/feo4t1JwIk5P1p+6S+T6iCdYqOMwFt1/6q49B1fEKnKlu7d6SAlVn/M+ArTrs65P4dyLlI6nvFJKjmTvPEtbx/r0Hj9q5jZIxKxBzEVC1mS3RTuhr1huvlqauO6dr5Miad+UkZx5K65q/WGrjxB1v5GEQIIWPI8PDwWnVeM2bMwFVXXYUjjzxytT9YAIBrf0RRHMcZsa2Vdckz1lDZRAghhBBCCCGEEEIIIWSrwXXH33/rygEHHIDJkyfj4YcfRrVaRbVaxWGHHYY5c+agWq16kRGtkQ6TJk3y9i1btgzxeBydnZ2rzbOl2GZ/kLjwwgvhui6uvDL4fwJ9+ctfxuLFi1EoFHDfffdhr7322kI1JIQQQgghhBBCCCGEEELWnXvvvRf77LMP9ttvP++/hx56CDfddBP2228/vPTSS1i6dCmOOOII75hoNIpDDz0UDz74IADg4YcfRqVSCeSZMmUK9tlnHy/PlmKbVDYdeOCBOPvss/HYY48Ftn/uc5/D+eefj4997GN4/vnn8cUvfhH33HMPdt99d+RyuS1UW0LGJ7mi/J5pYbsLXpV44qdeFR3GhE7X0+H816ck5Ph//qxh70//cGSBu58saV1D0UIaRxyOAXX1JjiyzR16Ze0VtPIslPpJCaX+453zgf17ZVtxpaS7Hi/pkMqbEhOAtITY7z9JXET5svyU3alahu5kw9Mldai6IeRIn6xoaKZwxFNPuaqbmqJ5a670XEn1D301B9BQ6nxVtnXEVROlodXZkoO0hl3HI5KaGsk0VIWyr1+q6nFRHeljmlZqQFh/jrbrZyoo0ygN5lz84Q7RShz9YdmmzfNUF/bjvqNlAkBXRpUX/VIhq0ssArz/+FmBOlv9iqq6ikWACe1yfCImaTIe0jpr3xQbGM7L555OuR8aLSHjppIqlBqoab1eWy73UKfWL1eUgz7w4VkjVFKEkG2DbhmmUdexJBZxMXOCfInqFBLRNBWTwcB0cH9bCqCqYdK20ZVjH1/VBQDYraOOvpqM55N17G7TMfiRNSguxppjTpy1Xv931fpwy4+D7Tr06Fm4/9fr31Yb323+yKoFsb/goC25+cPD9zxUNEX/eE4qZjV4YqWuOSJJXydpehX9vqIu8zfCCaAu65glDfGr1FyZWP959zwAwBsOn43BRTqHH9QLAMjW5PujS/Ss+/UCdVkbPN8vx+fqwfqu0GqVGyGonRClvKxZBqqikpyW8ic/ux/3PVyVW2k518qcnHtlMYTX8jr/lQojO2g8sedpkj7zI0lNlRS4xsF1pSlBc/k+AMBzuQaQnCT7nr0pWP4+ZwMAnh5K+6qDqvZpVLw5e7bLBX1mVQQ5XTMhuRpP82hapo1VNZGxZ12u0WjvO6p6WviIHr/HqQCAvrDeb/v1AjX9u4XNUSFxBZYcGS9s/PrDHfPx9vfJGPu7X8ha1pR4t94kY8I73j8LJX2vsOOe+tO6j+k9qn6KxxwMDOv4qQWZPrYZ071mkjLenP5xUTXdcP1V63zOrZXZc88HAFxz1RVbuCaEkNcLuVwOTz31VGBbPp9HX1+ft33evHm46KKLsGDBAixYsAAXXXQRCoUCfvKTnwAAhoaG8P3vfx/f/va30dfXh/7+flx++eV44okn8Ic//GGzt6mZbS5CIp1O46abbsInP/lJDAwMBPb19vbiG9/4Bm6//XY89dRTOOOMM5BKpfCRj3xkC9WWEEIIIYQQQgghhBBCCNl0XHbZZZg3bx6uvfZa/Otf/8L06dNx5JFHBv6n/PPOOw+//OUvccstt+CBBx5AoVDABz7wATRa/8/Ozcw294PEd77zHfzmN7/BvffeG9i+0047YerUqbj77ru9bZVKBffffz8OPvjg1ZYXi8XQ1tYW+I8QQgghhBBCCCGEEEII2Ro4/PDDcd555wW2ffWrX8W0adOQTCZx2GGHjYiqKJfLmDNnDnp6epBOp3HMMcdg0aJFm7Pao7JNKZtOOukkvOlNb8JBBx00Yp/9Ix6t/yjH8uXLscMOO6y2zM9//vP4yle+sknrScjrgbNnXwYA+NpXPg8AmD5JwomffU1+iV2wsID5V1wAAMgXJab3wCkSIv+vJ0YpsKY6pxeDIcyIJP2RqqbOB3MHmY5ptxOB528JlvfcTyXd6wwAwIy3ScjwtLY6/rnc/B6i5UBuoaSZ7QEAPYkIEmEJOQ6HJG9ND1k+qKHLURdl1QGpIQgr8rlgW9AAQjHNJHqHZSX9FdqLd5bGVRvAsrIUFA2bxkmypEKStyfeQKXuBA5vV/VFvenH7VVDkiZjwdS0Sk5TezJqojD9lKmbGi7wPlUsWX1K5WAYtlGpuZ4CykK1U3Fttl2qsIOS7hvW7mnTcyeidiyQSYk+IRaVc6aTsjMRl++1GjA4JJWs1rU+ekxIY8dfXiwqjHDYV23dddvoWqZZc84fdTshZOvnH0+IJuXlFfL95ay/rI3puNmdkMHx6ftFUdGtGh24FZgmD1BtS0jGm1xJxvIXnYxX3rBqdxb9bctrJ+68ZT4+eNKszXKurvSGHffQPcEx9/iPzNZPLpYNjuL52ABO/KiUuXClqgx1LonovFOsACH9/OgK1RWZPseUPSFzGQ756q56k8YJ8DRNqA57+aMx2Teg8yr2+QQA4PEBf35M6G3VE5VzrtD5FY7j3Wt9el9F9NRVdRrasdma41XL1EFZPVe2IPdv4oBevG2aVMTmWVMjPj0k9W0Pu7CmR+NyUasYZ5iaKdHTssPclmVvrWjjQL9dv/wSSaP+M49KVlLtb1R0ceXKQW5hmb8Ys/upKnmecVXPVCt4ylCyidjlOOCF27d0LTYce8/Z+ZjA5mpZ33HCcU/RtHunjCdlHSd26JZ7z8a4g9/r65hM3WSawoOOUN0qALWe4rE/rruq6Q2qf/vZj9b9mCWr6sgk7T1J0oGh+poO2aYoV7bs/0lMyOuV9f2HoLd2xlNbNpZtJkJixowZuOqqq/DRj34U5XJ5tfnclqvrOM6Ibc1cfPHFaG9v9/6bPn36JqszIYQQQgghhBBCCCGEEEKEbSZC4oADDsDkyZPx8MMPe9sikQgOOeQQzJo1C7vvvjsAiZRYtmyZl2fSpEkjoiaaqVQqqFQqq91PCCGEEEIIIYQQQgghhJCNZ5v5QeLee+/FPvvsE9h2ww034Nlnn8Wll16Kl156CUuXLsURRxyBRx99FAAQjUZx6KGH4oILLtgCNSbk9UFDI5C+9vVLAPghw8sGXNz/b9FpvOONogf4V4vCIRB2bSHMe58VzFMvA44OVXUNiTdVU0RdEo1RflS0UOiQuIMWlyUgbFEpBDx2pX9+AJMm7gwAWDHUBwBY1YgDUfn3ZPaYJKHGZT31oJobFvZHkNMo5N3a5UN3UkL9+8sxv15V0zhpKLYFpkVSmse8T1GYVsC0Cu2qjYp6KgcHMd1m4dd//a306cHvlX6v1IGOFg2TqRtMn+S6nsDAzAOoa1ss1DscarJXaAF2zHBRTm7ap5Djn2P7yXKtEnEp6IkXRZ8UjwJRLTuT0PbouadNkIpN7I4hlZDjS2UpPB6TSsQipo1qoLtT+jc7LBclnZRjVg6UA22o1VevajLmX33FGvcTQrY+TEXx5Gsy8Ji+Ymq6jr5iMPi3vyTfTduXCKvmJhzFkqLOJapZ8ZQsUZlbssMrgVgHAKArI4qd7CZuy4byy5+teWzblOc551zx1F537ZUbXM5tPxHtxymnz8GygU2jvVg2INdfbX3IleRDV1q2DxRDWKn3g83XcPXcNveajikc97U7qkYawe4ne5avanlYjy8H0/Kgt34o6SRa0nXStHa53+LhBoo1u0+lwEFVslShx1TLXj3dqK4X9u+VtCbzKopLJe9TP8B9VXkm3qymoAX9Mi+6FVl7ZMv9cNq2k23/3vDruNWy52n+tX2kpX12rWMp4I2ioekv6trMrpsqtAIeBVu3mborNQ2Ar9Mq1duBmpZTkvWjpwslmx5Tudq6GgB2PV7SsLlJ9Zq9dOfmq9f6Yu8nEV0M6/3VkUx5WaalgmNkOibfh4tB3V067qKkt3euImNKe1zytmrz1pfH71t3VZNRKAM11al26/T6q1s3z1w1lnzhogsBAEtWFteSkxBCyPqwzfwgkcvlRvzDHPl8Hn19fd72efPm4aKLLsKCBQuwYMECXHTRRSgUCvjJT36yJapMCCGEEEIIIYQQQgghZD1xXQeuu2n+/bGtgfHUlo1lm/lBYl247LLLkEwmce2116Krqwv/+Mc/cOSRRyKXy639YEIIIYQQQgghhBBCCCGEjBnb9A8Shx9++IhtX/3qV/HVr351C9SGkNcnX/nqJYHvD9wloblvPnIWbv2xhPvuudOFox8c6xy5zcLeYxrr60R8pYLpFBqqK3BEkQS3jhHERLkxKS0h0O1RyfPC8sV+HtVFrXhBv+9zNgBgrwlxPJ2VkOPnV0ps/nTVMtU1ijoWclGqyK/bzw9JnrqqFnwVRNn3HtW0DU5QJ4JQxN+vygC3IeUV9Ni2kNSlUgeSZq9qyL43vUv0A7GIqitCQNksUHoqUyWZysh1gbh6oGJqKWhLyc686pjypQaWDMi+LjVj3fNLubZHHidqCNNkNFz/XMbyPvFFdWYcTcMolhve+QE/rHun6XKNSpUGyhXp51hM6mP1jKiqqi0VQrmq4eAdqlAZlga3p6VzCkUp45YfX41W3vl+qftffrvth5AT8nrFVBQHvFvGv5yOxfmqg+VVGYzcWrnlKNk+SQfRhgt/7rAxO94NAHB0/nDzS4GCaHFeaUzc5O3YVtgYVVMrN994NQ45atYmKevPv1nNOL5fLwDACTnYs02u7aqKufxU6fLUDyTd6wxJG1V/nm7FtDC1oqidAKBqzkJT/ej3Bbf5SpYWbcySps/Om84L7EvrPD8pJumKf1w7el0AX92Uni7pzGOBgqxt/rliBwBAT6zlGCfknWNc/m9az/wI2O3ENedpVIHyKv1iCyTRa3m6JyMUQ0dadG1tur6KhlSbo2NMKbfMv2dMO6oqUE9HSjYd9oxZXwNAWLRHmYyMz2Fdl2Y7zgMqKtizZ31j2eMUSRtaj+dv2bByTNWUFgXYG7vsHUbSbCnk6Vnjeu/9c4XMWzum5HtHQu7FFbkQFhfkflTDKZ7788i17+bChf/ak1VP3ulnzQEA3PiDLVevDaVV1XTD9VdtyeoQQsi4I7T2LIQQQgghhBBCCCGEEEIIIRvHNh0hQQghhBBCCCGEEEIIIWR80XA1snmcMJ7asrHwBwlCyJjwz7vn47CjRcvwtf8WrdMl35DQ1+t+I6Gvrzw4Suhrcyg2IOHvFvq+91mSmtapsVzSWCew52ny2cLnE5MBAOmIaoKsvHjX6ivtitrh6eV5vHNnyZctSuzxUEnSSl3SkAMk1ADRriPpivxwsA5OyA/tjqg/oSEqI5T7JTVdQDjuK6nCUnBVDQIhPU/I8ZVRJa1Hj7avWdNU0c9pNUu0pyTvrTeJQuvs/+pFNCIBcoWS1C+k8XLdHdKYiV0OAFGeFLXKR3xQrufdt4sm470fku+VGhBXa0W1Jj2dUQXUin6pTKnc8LRQybjqofTc0aj9w04hJOLy2drpOG7ge63uehfTVE2Vmuysl2XHxO5WV4UPVU2EjB+GyzJe2Fi56G9X4aAjZFx6OSvjwKqq5OlW9UVbVDLHwkAmIgPXq6VJAIB9O2RMGVS93MKC46tcnvzuWDbldcVqVUsbyFEnyDVfMiDXemVBrvWifA1P36/nesO5krbqW0y5VCv6c7Bh+h0vb8TXxpi6STVfiKT9Y6zM1bHXGXArul7Q+yun6plcaPXzF/Y6U9JqQdKGaslevMOv66PzAACr7LvpYRKTkCuX1lyvTc1uJ/qayrrW1dZELTqrTUKrQmfmsZKaGvO5nyJzYC8AIDf4qmyraV9GUprX7//sQ3LvDKleq101Otnh5f4xpnuzc1n7TPO14LbV19eOaV73mnZqQ3VA45nnfjpymz6PuYosVKNReS57oi4ySVlf597cCwBI6PVbNLBCjn325vU7v+VXJdwGMfNYb1G/b6fU/bEBuT93Scv3eMRFVOv6z7uDY2Xb4aIpzKumcKgaQspsdGYds7Hu8TVo38aQgj7q8ai0wTStc+Z+GgBw9VXf3hLVWi++9P/kffWVJfI+d+P3qWoihJCxgMomQgghhBBCCCGEEEIIIYSMOfxBghBCCCGEEEIIIYQQQgghYw6VTYSQMeHQo2eN8OP9+d85AMDRB0pI/PwHm3auLrzddE0AUFwlqTmMTJ1QLwKODmdJUW/s3i6xy4sL8rurpyp48nt+eTsfAwBIdO0MACgVBwAAO3b3oCsjZS8fdjAag1UHpWIWABBJdWh9NF762Zv8jBaSX9Pzh1XloHoGxNqlDmEHajDytE7dcemniGqL4mEXL/z1agDA9gfPBQD0a/smt/nqppBWuarlFVRl9OFTJdS7WGqgpvqSzjapT0WdJxM6fF3BDupGWrhM6hNXtdJxJ0s5paqvU6rpuRraBUN50RhM6vanmVRSPpfLknnGZOkDC+eG45djNBpBhVPDdQFtXzQqbW/LBKeyQlEKOe/8z+DKKy4HIWR8Ygq9V4oyFvS8uRc1VaZMSMig0a1mHdPcvZjT/xentNLXs6iu73G17Xl6Gbc+UiM4Dtjz0DkAgGfuvxpvf5/ojh64a/Pp7P7jGDnnH+/cNOdcOSRpJi6TSVndJZlqBDnLtDp9ia0J9jjVm49tbeCtP3Y9wc+fmgoA2D4t91EsJOd8Ia9zenIyUMuPfq79ZN5GLQ9EMvpZa1jXNYJpHfc9BwDgRJOI6xrA1hyeXqg45Jdtdd3jFC1PyzGFUDXr65PGGlNLhaJAUfVGq3uOdjkOcHRNZz5GWweaprNZs7XPJyS1Z/SZH62+Hm5LeXuehlx2kXy2/mrVcjX0OsTagf17pZiKXM+sjRexCZJWs752szIoqS0Z16RqMqJ6HXc9AVjwc/lMVdP6oYrUjna5Nt0xud9d10FBx3x7Riu6nkRC3hPwBhmH8Ph6jkOqRVsvmhVq+kzWtD4HTxZV3Kq8PJ/DFQflmmqdVNFUqNpaWNpi6/wV/5iHHlVSTU7JuJfQ94wl61/Ljeavo2hRP/xRfWeoSLt7zxN107wrt1510/I+GV+oaiJk68CFAxej/01mW2Q8tWVjYYQEIYQQQgghhBBCCCGEEELGHP4gQQghhBBCCCGEEEIIIYSQMceBFx9LAKCtrQ1DQ0Nob2/H8PDwlq4OIeOCQ4+WsOi8RthPVCvCHjsk8D/3iyqjlF8pG5t1R4aFOjfrmwBgtxMljWb8bZE0ACARkXDnUll1CM2qprWxx6mY0tEDAEiq2qg7KenkDkmfWRbCyzn5PC0pv+3WXAm/W5HXc9aKANQ1VJeQbIRULxSKBtNou6+g0jyZsJTfrnVIRlzEzGygmBYrrnljEdcL5Y7pqXaZJge1p2VDvlhHsSz1ikYk84ROqceEDkldACVVPT3ynCe90HI1DF6rnoiFkC9KeZ1tYd0XVC2FQ0C1pu3JyIEdqlqqt7q94JsWwmZXqfh5BrKioojqOVKJiJ4zFDj269+4ZES5hJDXCapbQZMSDoCvsKkM+uNvTLV7poEpLJW0dc4Zx+x9mGg1nvrTNVu4JhvPu1QJ9dTyMJapws+0XG+bLvPFUEluiEB7dz9Z8+rEZfoc256aAjwyDwCwyztEe9WqUVw4XPbvo6dvCFZM78loyA/Vr1Z1bWCqJsP0QI6fd0fTROl8/7zpx7ROAHz9pd3wpgICPPVUpmMGACD3r6bjNgWqatproqzJXDh45v6r1/14W9OF1bPWqPrfn/6hfLb1oOmnTPcUaloceSo2vY5r0joZpukyEhP8MgsrtB62Xsv4564V5PNzPw3Wz8aOnY8BXrpz3c+/LnlNBToOdXLrjfaF0yHq1Zkped7tuWxm90PkmbU14lBFnpEGHKwoqKrries2ab28+9TuxZCvGD1kN9G/DRSkHqZlAoCJaclfVe3U4mEpx7RTBS2uPQJ0xeWLtcuW1JY3W3WQfWjeGqu748Fz8cqDY6Mneu+HZDzOJKQ+PZ3+mv3qq7Y+bdN1V1+Ap1+U+WJrrB/ZduDfFTce68Pf3PJ51GrlLV2dTUYkEsdRJ17MewP8NyQIIYQQQgghhBBCCCGEbEW4btO/OTkOGE9t2ViobCKEEEIIIYQQQgghhBBCyJhDZVMLDK0iZNPxzvdLmO6CPgl7t/Bhs+8cMKWGjpR8vvNRDYk3RcKaGC1cfY9TJH32ZkktbD6zvaSPjhKK3FqO6gwCigMNo492zQQAbJ+UcPBExMVTA5Jl9w5p1/M5aaf3q7eFaANAZUi3SRiwF8ZtyhC3AcTUZaVKkWhEgthSISkw+9A87PR2CTlPRWVbTfvUlE2P33cN3vZe6fe//W4+AODjZ/cCAJIJVUvV/GE/EpbjB3NSrxmTk1Ldah1PvSQh7KuGJU9HSo5LaJV/e5uUf/Z/9WJgSOocj0neWl3ydrVJG9rSUSTiFrouiSmXKlXZ0GgAhVJN66o6Jy2nWpPyk/EIimXJky/aNil33pUSWv2Zz3xW+itXxfXXzQMh5PXLgUfIeJjUcesvv52/BWuz6TBlUFyVfuNBtTQm7HM2AMCJic7R/feVq8+791mS1ouS2mRuOp41sd9cPaZp3n9Mr8l+vZLWTOeY9zWO0TZJVRuWUEvQ9KSU8+JfrwbecG7wXI2WdYRbA8q6IAmrrsjKtzzNayvTOqWmAfC1kz3JBh6/b8PvowPeLdqvl7PSiP61aGJGMJo2CdB1kvarraWsXfEezRNGR9TBaGQrqu2q5f1rWu6XtFV7ZHquaLuvjDL1lt0ftj0UBSpZ+bzgttHbsi4KJrJZePORMhf8c4VqUdUTEXawVqXRqNg1NpUX4K3pnbTomNya3it1VXvVCkC8GwCw/0R5Tuyu3WmypE8uclCuydZlZUlLFVmPZ+IJAEB3TO7jznjDUz3Ze0G+5Xut4cAegXDLI/L8X9ZDqbaBHHuS9Pu0HumbckWe5XoD+OH3x0YTtT588pxeAMCEzri3bXBIFHrduu2b36QClqw//LvixmN9+OufjT9l09EnUdkEMEKCEEIIIYQQQgghhBBCCCGbAf4gQQghhBBCCCGEEEIIIYSQMYf/qDUhZMwI60+ek9MSnvvYgIQn75iUMOLhooOJainKtIs6ILemAvc4VdJnbxq5TzVH2PM0SWsSHj0pLvHJK0bTMYU1PNfCrtMzJN39ZF/RoOH2VVMcJKcDAJ5aVcb27aI3mpiRcz83qEqBkA2tDpyQnN+Ni44B9YrWV5ULpnAKxeA4ql+KSD+VtLjsw/MAANPeOhdV3dZXVI1S3Fc1GaZqOv0sUXq4qigIafnJRAi1uhQU0YvU0HL7sxIO+ezCGkpmlFAd1B/vlHKPOmEWmvnu/8zD3N5PAwBWDcpBiZiU256JefliqlMwDdPyVXKusjaqLR1BOil9Z+onrSaWLKzo9wrKqnhKq2ZCu9gLu17RX9Z2gxDyOudf92w+RVP0gPMAAFPjjcD2hQXAxBxRdWZUy3nZGdIxslEBouowtMFLx+yManzUrAc4Dl5UA4hbeX2Heq+VJ78LYB39tE/9YL2Ln6nqrBeHdMJ8/NqRmR6dt87llTR90TbY2gXwdUwNXUc8IW3DG84F4l3yuTwoafNapxXTC6nacsmwrGGWOI6nJdqxQ1RSJV1a7dwlH7ab6KA9LTfkbx6VXl3yd9GuPPyHDdQ9mWLTU1Dp81Pqk/SlO31dUqxTUltnaV+8sSeOmh62NC/164ipGsaV72HTYgLIhpo0O8118LY3gMqgfNzrTN1UDaaVIX8dadrQml5B277rCWu+FmTjsOv2wu2jb2/a98/lMp46Ogbnyqpmq2Y37Nym4/Lu3zAO2G4iACAalntEl/OIR2Rs/8eSduzUVg8U88iA3MuhkB4TAp57UFRK094qKrglD18HAIgd1Bs4tu4CL/xV8prGL6KP0cqCfJiUanjbntB3hd0PmbMBDd4wUvHg//+aK8pzOWVCbLTsY8aX/t+Fcv6CTKRFHdxMMZsdlrFk4fIqBnV6fuCuNSj+CCGbDRfj671+HDVlo2GEBCGEEEIIIYQQQgghhBBCxhz+IEEIIYQQQgghhBBCCCGEkDGHyiZCyJjxp1+LKmP/d80GACT0J9BXchKWvKwcQyouobMpU1KsqcDRVE2GhfhH0oHvK4Y05L8pVN/j+VsktXBr0yBUCyPzquJguLtXy69h90kS7vvEUq08NIy/riH7TgSuo+H/ppSy34FN0xFK6nYHXapGstDqklan581yzprrq5U6VUUQduSYNx8pGqV6w8GENtkWV21SW0qG+s52qUsm6aJUkZD1i/7fxQCA3vNEufSPZ0R3VK0DKa2iqbfed7ycI67qJePrX/s8+lTVZPokNY1gKCeN6OqIYygnfTCoYdFd7aI06ElI5lLZRUIVW4WStOHlRXItTNP0i5uvwcfPlv7oyEi7Fq2QOmfzrld3AOjKBOtJCCGbnD1PA8IyjldLov5YODQk+0zRZ2oPeLOErwo0TZPjAA0Zy/D0DwOnyFneSELzhuDaIFvJb4pWkA1keUknSFP07HXGiOu3USz4OTDz2OC2tKgj8UZZW6Ga81RDHZ2insyavrKi9+KLd4wsu1VzA3j35SsV1dg4sr5ZltW1zILc6GVtDLZ+a9RH3z/zWMCR+b47Kc9LQtdLNVcWKsvzLhK6FOsvy3PXn9dno6rpgp83rfdazmV9Yfuf+ZHoOwGgrmofp2VNkZyMaFzWnNWh14LlxvR+iHUC+5wtn2uqV3v25tHbSdadZiXTaLTt4GlQTY0xSW+QWEjut0pUxtMVpeiIw9eIKbxM6WWqMSfkrT/ftIvcrw88Ixu2nyC1ePfMGv7wouzL1aV+k2KyL18xDamLd75f1tvLh7X2+4sOcEDLL5hmtWLvH0BMn4lCVcqx56FUcxAJyb49DxVV0zP3X71+bd4IMimtT1wqFI9KI/LF1TzvY0SpLJ22wxTp/7xe92zOFLaObm/gNz+/arPWjRBCXq/wBwlCCCGEEEIIIYQQQgghWw2u68B1x8//aDie2rKxUNlECCGEEEIIIYQQQgghhJAxhxEShJAx55F7rwEAvPU9EoL896WyvVSr45UBCeEdqK3HL8WmLzBtwC7HAWENua5qSLwqkbrTHXJIp6ihHqqdDDz302B5Fqq/24mSJrqAN5wrnysDkqp6Y8U/5sn3vc7EPc+Z0kB/223UguWGYkDdHEY63EaSwXo2bHsK/aolQkOlHqpgsLDuTBiwLIYZBEyr9M+7r0ErH/iw9Pvkbqnf9/53Hs785NxAnpcWiyokV5YC2+Kup1+ytDMtJ5naI307Z65onqo1F7mClB2JSGYLfZ40QbQFuUId5bKEZ+80XcLk7f8OCGkoecgJYdWA9PPKAemDsIac/+JGadcZH5+LVDKkdRY1VkGtKBXttrjeCpO6OMUR8npn38NFa/PEfSPHxvVirzMkNb2MKXoaVT+PqwqKBT9fe3lNGiePXU+QdO+zJC2pctDmOlM3re54stkJt2gK3dZ1wKbArr/dF3YPlvsljaQAyLZsQRVNbi147LqyJe6rdamjrs/6tV1OXNZ2k6PS7mWVEFBX5VlxuaSq2vTWjDOPHV1T1Yyt5/Y8zX+27VmPdwGQtRgATIw34Oq1qEyYHigmrvqcl4dr/nWysk03pDqsdRovXk80j3PA6PfkWq5jTxSYkJDxuO0IWQM3VKe1KCf9HlKZ004ZB+7BsiZ+pagPcmGZpK3vCwB6MnLvlRqS5sqqaa0O4/GVovfaaZKscwtVOdfvnl4heSJtQHWVlNMxBQCw72S5p4u6li1VHbw2KMcNVYPvRm5D1a66vN0+XUf/W6TuT98vmqFJb+kFAKQjqnYNARV9j3jhr5tP1XTCR2TujUXlvnddqfuPbti0dfjKly9ESAfgTFLVrTr8XfCFS7x8l112GQDgi1+4EAAwY7L0z+RuOebjn7p0k9aLEELI2mGEBCGEEEIIIYQQQgghhBBCxhz+76OEEEIIIYQQQgghhBBCthpcV/4bL4yntmwsDgB2RxNtbW0YGhpCe3s7hoeHt3R1CBlXHHKUhE03a4YG8vLlkeUaav/kdzes8D1OkTQkYdKmauqvSIh2RyzsZc0Oazj/szcHy7Aw8XBUFQjwtQeW10L/09sBJQ3BdlqCzayBCHnqKMQ6dJsOuSUJ2Ua0TTc3/HMZkbRk0djsjrCLhGoAUhFJ0zFJ25OWAr+6dX6gmK995fOSNyF5Pn2hH8L8oVMkpPq1VcGpoCMF/OGOYDlze0XRVKlKmHNHm7TtkktWH+b8yXN6AQBt6QjC6n6a0CnXoqBR7nW1nHzjm5d4Id7TJ0nZdky+JJkGh2teKHY2L3WeOkH6P6R5J3fLsd/61rdWWy9CyOsD01eYbm/aW0VvsaTkAMMvS6ZWZYyN89GMNw6jLioOxLsltTG8Vli7BmbmseuvziHbBNEDzgMAVB++UjbsccrItcVYs/vJQKxTPlcGJbV1SE0nWrcBhPT/QzOV0baI6Y5Mo+S5slxPc4my6jTXRT+1+8mSmmorqs97KAo8+b1g3j1OlTQ5SdLqsLfmnJSUvt19gpRjyp1czUF3XNZMCwuyVinVdb2VX6TnzABP/3DN9bT16XhRtZmeTnWonnY1kgLCqjat5SW1MdcUWk9c55djqlXDdGaJHuzSIWvBqC7/67oroprQwbJcj0zUhZqQENe19UBJ9uVVdZQt14CiaJymqZ5r525VQOm1bo838PgKrXO0HQDg6LrU++NTveypuma2yT4798v6PpSJOCir0lSX2yP/eqX3fUfEhb3d9D80L5DFdIX1BvD0/RupLNyK+NL/E+WSPfpf/dolq8170mnSBzvPSOHii6lkIpsX/l1x47E+vOPmi1Crlrd0dTYZkWgcx57yTd4boLKJEEIIIYQQQgghhBBCCCGbAf4gQQghhBBCCCGEEEIIIYSQMYfKphYYWkXIlmHG20Sj0ZWQ+GQLl15VcVB6eN66F2Rh4BpSv1ObhNHXNfx5crqOpFqUlg/LOeKqQXp82aBfjmmY6hoeaOH8C34uaXOYuOvFVEti2oBQ1C8n1gUAiIYdNFMt6jlDvlLKL08xZchj12C3d84BADz/l6sDWUyHNbnTwa03BUOzP//5C6RYrZ7rukgmpF5VjYC/9+EcAKA7I9+Hin7+B+4SddM554qaYrggYeozJie0jAZqqiDoH5ICf3xDsH7nnHseQtoV1Zrkvf66eQCA0z8u1/7G71+FT80+X7pD815z1RWBct5z3Cz0dGgofVH66Zc/C6qlCCHE5hTTYQzVnBF5cgMtyibTtzz307GuHhkv2JrD1gZbij1Pk9RRLZOtKaoyt8Nt+MqbtSnGtgX2OlPScr+kTghoqP+xWeME+Jqj5nWb9YW31qsGj33xDl/dFhP9jteXhttAonMnAECpquqhx68FAOz/LlHFdCRdlHX5+Lff6Vpl77MkrQxZQb5Ga9fjJW3Vao2mbLL6bcs6OFNwRXXxGY7D+/8lVZ81Q98LFqtiaXq8gUVFU5IVJLXrGJF1Keo19CTkWYiposnmgkxUPtgfQIo1B22qP02osilXCc4XLw67eOd02bffrvISkc3J/ba0T9LlWQdhrcZQWY4frsqGt+4gN0G1DvTpnxfs9rRj/v57uT963tzrnVdPgUlxyby0bGt3fTcJxZBp+RdBM/pOk9Z2vvjXq/HG/5D7MaLnevgP40fhtCa+c6W8/3zqPOqayOaHf1fceKwPf/mT8ads+uBHqGwCGCFBCCGEEEIIIYQQQgghhJDNAH+QIIQQQgghhBBCCCGEEELImENlUwsMrSJk68B0G6mIO0JP5DFaCLuF5Juu4NmbJbXw/qdvwE5vF+2RqxqnA3eUcPBcSYbDRxeHsWzYQulVn9SoBMvb5TggOVk+14uSlgf13Kpsinf6WgBTPkWSWq79Hqzlh207fAXBszdJun8vAGD7pIukhpN7mqn7JOz6wCNE2RSPAKm4HNaVkfbd8uNgaPaXvngholHZF9FyFi2X9n3nGlEkHfzeWZ65wJRNplPK5qQtk7okbD2diiBfkG3DmlooeltalVl11ztuWb/EoHe3SR90tYc1bxSXXnoZAOCU0+Ua9Q1L/9x9u69lOvVjsu+m/1vNfUEIed3TcVAvACCpuo6ETgnLVKVRqlY8vQohG8zqFDubg9EUY1YfW4fYRI4Q4Kr/paqam+a107aKaYtcd/XtsT5p1IBQi98G2j+jKbesbFvr6XptRpuohBblq/56zVSbqg7afoIcMzHVQE13Fatyrqiuu57q0/XhE9f56iLTaY22vh1PeH07UdKIKpsqA/56OdYhqSODdzQi167mAm45K/uibZJq/1ueGYk6iqrp66uFvOMAYMekPAcTUnLMlE4gm5d9nWpIHdTvS4fk2HAImNYh+bvbpNyJnXKuRFzLr7kIhWSfPXalihyzXK91OOwgonNRWPPGY5LmVEP62KuO994z6S29UlfVVi0vyLn6y7JmdyJxTIjYHCdpe0zyVupS7gt/9dfKu7xD1s/TOyXP/b+m8pSQsYJ/V9x4qGwa/7SuygghhBBCCCGEEEIIIYSQLYYLBy5G/ltw2yrjqS0bC5VNhBBCCCGEEEIIIYQQQggZc6hsaoGhVYRsXbz9fbM8ZdB6YeHuFjdt+oJYux/irTolJyKOI7chw+GbJtTxfDYcKC73r3nyoUnPcNjRokn60yINNiss0XOG/HOHYnouDUGva7hhWOsT0fjwwO/DEkqdiEsIe1nVUjNT9UDo9eo48jiplymbfvYjUTZ97BOiwdpthxRCqjEpqYlqSHVKV3z7cgDAm941GxPaJM+eO0j/dLRJnQeH5aCyhqKnkxEv9NyUTYmYtCeVlL7pz1bQ0P4tluW4Sd3SN4WihM/XGy4WrZTjTec0lJe8U3uknO/+z7y1tp8Q8voicUAvAKDUcBDVobTWsrrtUp1F/8CrssHUKIRsAM6bzgMAuNmXZMOLd2y+k5vuZl3OuedpkjaqvlbIVJL23RyL41UPNBqmu6qpcnO0vrS+s3Xb87cE99s6E2haa5p8wFdBHaprxYotA7XbY5r1rwtLQKlPvoz3a2J9Fu8IbI6megAAbSHX0xGhuFzzTpA0kgIAdESBjqj0j+mwluT1GqlCNZrsxq4Z6fD+kkwKOVUYTYzLQV0JKWNat4unlkieiWnZN3OKfH9xmXwvVh3ss53q/ipynF3yqk42bakQujvkotp6d9Wg1GEwL987Ug5COkct0FeGtqTsW6Z6qGzZQU3X/Tm1rJUengcAyBzYCwDo1PZXGo7XB1PTkjms9TKl65p43/Fyb95129albrri0gsBAMmEi/+ae+kWrg0hGwb/rrjxWB/e/pMvjDtl03Ef+QbvDTBCghBCCCGEEEIIIYQQQgghmwH+IEEIIYQQQgghhBBCCCGEkDGH/6g1IWSrZslQCHjjbPlSWilpOK7fByQdLaTdtll4+IKfS7rHqX4ofFSUSG45K9/LUt6/82FROzVjioQFt3mbLEIclYFgXqfpHyqy8PtW6qpMiDUrnTRvOClZNOR/aky2hxxg5jvmAABWlTW0+6F5I4puSwZVTUZcNUrFsv9PKX3t65cAAI46YVYg73Y9rqdhqqlfoG9QGpyIic7KVetUqVzHxC65JjlVNtXq0scXX+yHWs+ee740T8tdtkrC8tNJbUuu7tVrMCfn3Gma9M/8q68Y0U5CyOucN8i4VSoXAADdyRT6dWhFvSRpRMbT/pqOLlQ1kU2A++8r5YOtMdZHo7SxmBaoSSG5Wp750er32fGOKip3PcFfKxnWvvGmDnrup2vPY6omT62pNF9rUz9ZXlvzqV4I+3wC9y+UbdNSsmiarFog02Lu1JHCy09+L3iOZh3UeMLuI7v3VMdULQ4CAPpreSA1TfYlJwPwtappVY1mK3Vky/J5kmpBt2+TPAsLCQBAKuRiQU72TYxKf7dH5BhdgqKsOqRnloZQbcjGx/vkmP94k5TX0yUTSrHUwOCwHNCWljVrOhH8/zobLtCniqa+YTlnXB/VzrSU77rAkj6px7/vDWqS9j1c3nUSYQeFFlUT9u8FAOSqpmWSZ7Yt4qJN9U1P/UnW/DsePBetbK/bFj54VeBcSwZGZN0qOP8CeTf53nc+t4VrQgjZGnBd/88344Hx1JaNhREShBBCCCGEEEIIIYQQQggZc/iDBCGEEEIIIYQQQgghhBBCxhwHAANGmrB/yZ3/4jkhWw+ZA3sBALmBl2VDvFPSp3+49oMttN4UB/UqEO+Qz27N3wYArsZIr0npsctxfp5WXcJeZ0haK+o5o/A0TIbF6Fl4v6eGCjXVSzep+qlDw8yTIRcJNSu8omHXu71TFE7P/+VqAMAhR83Cn38jYeAnflRCsrvape3litTl/753FS6/5EIAwNJV0uZnX5E6R7T8SV0RXH/dvEDVL7jgAgBAo9EIlLtqsIrBIenDhta9pOea0BHVZrsolWXbcEHSoYJkjqv6qS0V8lRNGdVOTeqWnddcRWUTIUR5w7mS2lj79A2S7n0WEJNxtFvHzf6hZbJvXRQtZNOzz9mSPvndLVuPTcV+qkMp90u6JiXSWDOasql5jdLKvudIanU3vVDD1kDu+FMzjTV7nBr8npgoqfkn6zUkorJWKml3m+nH0/EASBzQK9vKOdlQWDH6+bbl67PXmf6629FOiLRJWljs5zMtq/ZlNCL9Nz0uHVioO1ghxk9kdM3aE5PxPqJap0rDQdiRz1E9VUG1fV0JKWdlQTWmDQf7TZZ67TBZCtx7Z1X9DUkZS1YUsaRPjpvcJcfVdcGbScox8ZiDfLHhfZa6S97+rJTfngmjoceVq5I+s1DW4QNFyVtrOJjWLttCWvdlQ3pOXWO/UpRzTo01sOTvVyHAfr1y7rDUYYdkHaW6fDZdlambtnbu/vlsHHnCNWvPSMhWCP+uuPFYH/7ipi+gVi2v/YBthEg0jg+d+g3eG+C/IUEIIYQQQgghhBBCCCFkK4L/hsT4hcomQgghhBBCCCGEEEIIIYSMOYyQIIRs9ZRdjTFOTZX0ievW/eAX75B01xMkjaYAR4e+1tDx9HTNe3xQgdBMswahNU9VQ+1NAfXSLcDOx+g5nOC5LCS9oXWIpP3jI2ktUI4Z0lDrQsPB1HBQARVu+Vm5LQmcc+55UrT+/B6LyvH/e62EaJ//6c8gp6aTb1/+LQDA+4+fBQCY2Cl9s/3UJM4//zNy/rzUsT8roZIdGdEoVWpSfnsmgkwyEtg2nJc+KJQk7PyG66/CCR8RhVS+LHmqashSmwGqNRddbdKgvWemAACf/+IlIISQAI9fK6npafY6U1InBJQHAQD9uSHZtrqxnGwexouqyXh0K1KdrMu9vduJkj5/i792Ms3QszdJuvvJkj73U3/Nsi2rgTYn1oem7DT1p64DE7EESpUSAGBGRtZ923VInr81FfOunWSdtd0kURh9/x+SVouq19JxDTsfs81eGyfRCbdeC24LywLQTen6u5YHqqqvqMoYXnU6AQADVVnLxkNAVN1D3TFZE6+qyPeavi9MTTTg6ueKXpKUavzSqneakJYdQ0UHE9slb2dG6lNUJdSfH8sDAJYOhbGqIvt2GpbjduiRcgZy0qY3zEwiFjVlk+St6kLX9KPRSAiVquSp1uS4XafJuvdhtdJ2Juso18z5JUzrkGOiqqjaTd8FohFgSlrW1qtU+bTwwXlSvh77QlM5pnndVqCuiRBCxjeMkCCEEEIIIYQQQgghhBBCyJjDCAlCCCGEEEIIIYQQQgghWw38NyTGL/xBghCy1VN9+Er5sN/c9T/YlB5GvAfQEHFULCRa/UWlFZqnC5h5rHw25dO6YPolpynUenWh9aZFiKmeqVEGQvGRxwNIh2TWKrsOFj4ouogpb5G+CDlBhVPDBTraYgAAV2e7yy67LFheMjJiIvztbfMBAF/6fxfKuSouhgvSnnpDMifjElQXVk9UvlDX6jroz0p8++QJCQDAwJAcO5CT+h129CwsHdBwecmCmobRJ2PS3h2nJVGrSX6qmgghIzA109M3SGoKvIb6NZ6+afPXiZCtCVfXBPueAwCY2SHrgRefb8rzbMtzUi9vhoptIpr1UluK0bRWun6LRmR9GYa4deIhoKSKzqit5VQ99Nb3iCrz77+fj9/8XNZgprY8fm8p9q5nugAA2ad/OLIezTquZtakHd2CxB0XJRuzC0sBAG5NdFbIzJDUcYB4t3yOiLoTNdGZZp0MAGBGwoVaj6BLRkyMy4eiqo5eKYa9NfCMhKRDJTn3dl0N71QAsCgXxlv2kC8hrd5Xvqpr0L3PkjSc8trxxEqZbxbmZFuPnvvFlWV0J+VzW1KeqZQt6/XY7afEvHK620XjVNbGPPfnKwAA7zpmFjqlqXheugmNkpRQ0vbt1CPHzJwex07TpH0rB0TStPBBrJbn/3L16ncSQgghmxkqmwghhBBCCCGEEEIIIYQQMubwBwlCCCGEEEIIIYQQQgghhIw5VDYRQrYdSqsk3fM0SZ/50dqPaagXSDVDKK8CUlPkc6xDUrddM6vHyHGAqoSIY9cTJF3w85FlW9i+xX1bKHpcQuyx7zleWLrnSAqFg3m9etaAiOqbNLg7E5ZjUnpI7h9XYsbbRNWUjgadS/u/S8L8uzIOLr30UgDARRddGMjz5S/J90KxjlRSCv3QKXJcTCLH8dKiAgBgUncMtbqcIxqR+qQSMmVEwvL9G5d+q7VHcNYn5waaO6lTzrNisI4/qRbq42f3Sj1KEnKeTkpf7DPTRSxKqSIhZHT2nNgGAHjGxmUbR228JmR1qL7x8D2ny9fpMp899pLoBf959/wtU69NTYtm8sV1OeaF2/3Ptp7ZEG3l5mCsVE2m92zui9URjvqfTSGlY9GEiKxrKg1VADnAjmr7aY/L+qYtGVznHHLULGSLkr+rXdZMQ3lZu559mJyrf/9eAMD3/14DisvkQNMdtbI5dU0zj137PbLHqQCAUn45ENV1d0P0Qt79llskaSgMJCfLrpDs83qrnAUALHI7vH0p7e+VZen/pGqx3IaLDr1MCV1L6yGeNrSopr/37eOip0s2/vfXW3ShlSGtZ86fb1SLltUs8ZBc4IYLVPW6ZxJy/brbQoF2RsIOCiXZ99pyqcArK2XfpLf0AgBeXOUi3C91jmvdn7jvmkC1QofNtk7BjlOloa+uGH39/NEz56BctXtP6lOqyPef/JAKJ0LI1o/rOnBdZ+0ZtxHGU1s2FkZIEEIIIYQQQgghhBBCCCFkzOEPEoQQQgghhBBCCCGEEEIIGXOobCKEbDs8e5OkFlq/Llg4eFhjtBtV9GgYd2dMwqZLdckzXJN05/Y6FsdE67RiUEPjTV/glRvyQ/utPq36kFAUiGqsfr3qnT+AKaVC/u/DVuXJCQkLb2gU9oy3zfVCz1OqNnrkXgnjPuDdEr7dHH6dy8u5Zs05HwDw1a/5oejHnjRLqiWnwC9uFl3FR8+cAwC44tuXY0P4wfVXjbr9m//9eXzw0AsAAP8559LAPqvfn/9dxVvfENug8xJCxj/PLFshH1wdN0dT6REyGjpf3+eI7uuV/mkAgJcfGCeqpk1NvFvSVpXRuih6tkXWRdXkoYu0PU5FND0JAFDVxdSgriNLNR2jyv0oZSYCAGqurPNCjuoq475KqKZrsT8+KR/euJ18TyZE4RTOyXrus+9J4pHnZX36h4X6Gr8m3dT6qKg2BHcUTdBeZwAAokm5h2qaxa2VgeqwfLH1stVrn7MBAB3JFLJl0ai5w68Fy23SPLmqOA3pgjmql6TY8DUYajvF+w6Qflq0XI7/44vy/dNHJQEAUybU8eQLLWvz3U6UNJLUc1eAqihNEZKXiO6krO8LeqkTIeDQ3aWxibicw5SnibjUJpWIIBqRtr+2QtrZX5LvK/4xDwAw7a1zMT0t98FAcfT/d/SpP8nav+foWbh2/pWj5vnvr34eADCcryMek3Ii2in5YmPUYwghhJDNCSMkCCGEEEIIIYQQQgghhBAy5jBCghBCCCGEEEIIIYQQQshWg6v/jRfGU1s2FgfsjwBtbW0YGhpCe3s7hoeHt3R1CCGbCg0hB0JIJDsAADtlgkokizyfOamB4aJ8/utS/d221KeZNMy5UQXqZfkcjvvbAMDRmOh6xfcvhez3X/1uqhFTQcXa0Z2ZAADYuVPCuBsaem6h/I/fdw12e6colaKqbtIocO80pZofyr2t8cGTZuGXP6M+gxCyGsZaP0IIEfisrZ49T5M0FAXCquWsZjVVZaetAxtVT/Fj+h9b603PiOunUHUwSdej+bIs5jKqc5rQJof+6lZZG536sTmoqANpzx1FW5RVndPfnpY1aSIK/HmxrjkfnSfpWF3PXY7z9Uu2PrbvKdGiOWGpi1uvAY/p+nTfcwLFdCREq7pzex09bdK+BSukD19Z9rJkeulOSfc6w+vfjlQ7AGB6Svry6SFtt+t6C+MDe6R/pnTKrl9rX37zv0VpFIu6+MyFvtIUgKeQwpPflXTXE3xVYEQVsDG5jtGoXN9jd69h6kT5PJSTvJGw1GGPneSYbA5YtFxeMF5aKnn+/JvgujdzYC9y/5qH0fjQKaJn/cXNq1/nXztP9KiVqpz7hdcqmH/1FYE8X/7ShQCAlf1yz4QcB/OvCeYhhGwc/LvixmN9eMuNX0StWt7S1dlkRKJxnHj613lvgMomQgghhBBCCCGEEEIIIYRsBviDBCGEEEIIIYQQQgghhBBCxhz+GxKEkNcHT/9Q0pnHolSV0LgloRkAJEQcAEo1CW8ezAPJmGSfEpPQ8WVVCbVHRMPzy33A87fIZwuFb2g492g/9UYzksa7JG0NB9/jFPSr8al/lQzNPRrlb0qp6AHnoVKXkPj2hKRqakLDlU+T2108tdpO2Lr55c/m4z3HzQIA/P52qpsIIS1QH0M2FbueIKnpE0kQe9Z2P1nSmnosX7xjw8rb+RhJTbuzLWN6znoZeOoH6314/24nSpoX5VJHugPZiiwcp6ZlHZmvyJrupYWyfd/DRdUzY3ICXe2yrT0ti8OeLlkstmckdQBUaqKO+rtpQU0bZd839Dq2sqYxedfjAfx/9u47zIlq/x/4eyZ1s0m2sixdehEVRBEFxV6uV72oX0WvvRdQigr29rPRpIjlWhDbtVwvtmu9NuwKFhCUJp1l2Z7Npifz++NzJiGAl83CsoX363l4JjNz5sw5k2Qyy+S8AxgWdUFtLwAGjpXHKvK0h1eud/OyJKq00AsM7C3Xy6U1dVLWpq671XFDtA5w5AIAAiratNAtx+KYHHluCrwaXl0sxb3q8t3rkuPmHDRGtg3JNqUVUUycKDFHv66SfZqxTkkr/gX0u1geL50DADj0RLlePaSv1KvrDixfFwIAWNXfAeb1e81iqTcWN2CzSZuj6k+GwsHSnvLvpwNAWlzTWefJ895GPcc5Hjt2Zt1mmXZpJzvv2NaOCRNuAgAsWxMAACxeIe3Jdkpb8nNsO62XiKipGEYqWrs1aE192VUcIUFERERERERERERERI2ONySIiIiIiIiIiIiIiKjRMbKJiPY+Nhkmn2eT8XIFaqi3rstUQ2oodbWKcXI6ZMh4KL7VGDszqklT93bNW7zmvEUHEjIM3ZyaMUxOp4wh3zBwjCyo2wTEZag3DIlj8uuyz1yr7DP6w3RYhl0HAAhGpV1LPpuVSc+bPQdHjRMRUWPpf5lMf32qadvRUix7eedl6hPH1Bqimvqcox6oa7z6HJueZ6SuA82YJPMaMeoDANTUAZozFwDg91kAAF3dch0YU3Gc6/yy/PnPw2jvkQvUBR9JrND9994MAOhYJNsEQhrOOVZij/Zp2xkA8PKP4bR97hErXk+f734aYPfKY1sOACCgrrH/0s8BADjsAGDDFily3+XS58kvFgIANtbIcXPbDfyysQwAcHBHJ4DUNXu2zCIcNTCsgzwedoAcC6tF9jWhi1xT+wOykd2mo12BrKutk0ikI/8qcUyfb5KLUuPHhzG0i/ztcOBx4wAAG0olHqqiWqYllYlkV63SdNSqpDOL+vvisP2y4XTIvnLdcs3fNkdeH298nzpUx/1N9u9ySp87F0u7zL9ALr78egDAB4uBTd/OwNY2lMpOozE5phu3hODOkgb17yHHIhiWvpuxr4V5Foy/4UYAwNQpk0FERLQn8IYEERERERERERERETUfrew3JNCa+rKLGNlERERERERERERERESNjiMkiGjvsupNoM/fAQAxdXc6GJFppzYyeDkaA4JhWdnTK8OaN6rh8qGIGvZuxFJDzxOqgng0fV9GHLA4VBlZF1X77Jkj9W6oVTFN9txU2ZgMtw6pIeilRure8aovZ2bW3xbGoms7L0RERNQQiXhTt6Dl636aTM0IotYQx2TqdZZMrdkAVATPttd4K/6183rMGCvNAjglngj9Lt5x2XgQRkBdC2a3BQDURtT1qLpmrAn6ZWrJQiQhf74POnY0AODZD+sAAF0KpL1HH+RGRDX1sP0lZmj/nhLVs2KdxIXqw8fg6X9MBwAceqLEA32zYr1sZD6vu8qMNV0570/r3aSmgy+9AQDQqa0f7iy5FtbVpe/fT5A+/Pi7PA+f/RpHv+I2AIA8Fbma65bC+TlybHLcdkSiCbVO6kmor9f26SLX2K/+V5avK41jc7lsn+OR7fcplmv+Aq/EKUW6j0KnthLftKlMDm6+V8r46uKq/lQEkk1FNsXVS8iu/sdl+doAOrWV+KVsFaPksMu+jz1NnodV5TrqQrJhcaFkUJVVyT5Wrpe2v7lC2uLQUl+zHXy8bO8PqLgvFQNbXGBPtl1TDfQHpUEOFV074dYHQUREtKdxhAQRERERERERERERETU6jpAgIiIiIiIiIiIiombDMDQYRutJUWhNfdlVvCFBRHuf318EAJQOGgsA2PDeDADAGefK8Pdsp4aEGmbtdcpw5oAa+l0ZkWHP0KzA0rnp9fY8Y/t9LX9Vpn3OAQDU1FVJPVlqCH9cRUD99jzQ/wp5rMtwbjMmIM8m81UHjkW2Lu3xL5he3962KPNentXUTSAiotbKjN+hhttdkT7NSe+RMrW6ZGrEU6+V3/+ZeX0WdR1n9wKGuqDU1fWjITFAyfwcw4AZWhAKBwAA5ZB2hOIqkkdTf7JHqlGuFUiZCllmU3kHy2ulvrUVARzcXZZ1KJLIn3BEIn/yvNKGLIcVEydOAABU+aSf/Tp3BQBUHizXwvOWWXFGX2nr64skKgi/PgUAKDpkDABgS20Vrhiep+qRfURUHmrPThIP9dNyiRL6+K1HkofniZmy7/aFcg0cjMg2Q09+HBdeer0cOpv05+zjJZLK45K+DN7XBm+2tGvxKjnO/jqZ79hWjskfGyLIz5V14yZIHNGlV0iby6ulnueefggAcNQpo1BTl1Btlzgmb7bEKZmxTNX+OErKZR9R9Zz8slrmwzFpp03XkJct69oVWlW/pIxDPfWJhJGMkvpllexLPTWoDsoTubpOh9dhqH7I6yE7S9Y57LKvgXlS74BuOsq7j1L7lJ307OxQZaXeGr+WbLPZDo9L5lesU3+DEBERNQFGNhERERERERERERERUaPjDQkiIiIiIiIiIiIiImp0jGwiotbJHH6/7OU/LRJd+HDa/OsvSVzQyAtGw5st92vrwjKWOlojw6R7eaXs8nIAfc+XmZgMqUZCDcO3qSH/0UCqckMNu1f3gZf51FD9qD9VJhFVZWNp21SaEU6a0WqjmrZ1+jkSGfDvfzLCiYiIdhMzJtH8/P7t+aZrCzUf5rXiflfJNFQGrHi94fVp6jt/RiIVw2le2yWpMnZPKh4qLtFIoZhDzavXa6wutVlMXTda3QCAaEJTu1SRPwFg069y/VinrivNuM/O2XJNu09hCG3zJY7IrjKfLDKbvP695KAE4gl5fMuphVLmbxMBAB51mduxqA3CUdl/PCH9zPfKPivUdXPndtLOq04fh7hqa3FBLQDgj42y7pl3UtfLHpc05MiDZL59mxoAgMMmbQ9FrOhcXKXaLu1aWyIxTJsrZZveXe1Yv1mikS645DppV47kFfXqLMdi5lTpy4IlAfy6VpZt8Mu+u6tIpCKVrlpRC4TVJXppnZTJc0r9BSqmqdCrJaOeKmukre3y5fgFw1KmuNCG39fKc+0Py7EIx2XqsEqZw4pjyMmWffXorJ7jqNT39a/y+uheLNtYrRoG9ZUy60pCAICIej4SCamvpjYGp0Pa5VeHOaj+tnn0kfS/g4iImiND/WstWlNfdhVHSBARERERERERERERUaPjDQkiIiIiIiIiIiIiImp0GjhiJI3H44HP54PX60VtbW1TN4eIdlWfv8v09xcz2uyMcyUySFfJSjUBOVWur5T7uFUhDaVReWwEtkghM7pp5bxURT1GyFRTY+ENGSYNdxeZRmQoOhIh7FssQ8+XlMuQbPz6lEwPGK3q0OG0SINCC6dn1B8iIiJSzFhH0/+Id6S9QM8zZGqT+BssnduwerqdKlNnnkx1GxBT13RmdJNuXg9K5A80ayqSyZol04S6VrR70+uPBYGY+vvUXqDqkwRmm7o+BICoqtq2zVcPXSq6qSYc2WppeqF8h9R3SOcYqlWznJJ2hGxJRkJptUz7dbagfw9pc41KkoqonUdUzJDPL/FHzzw5A3/mxNNHAQD+dmQ29u8hlbuckpGk64m0shoMeN1yvb1xSz4AYMkfkq20brP0Jc8DbCyT/U+dMhkAMG78Dapeq2qvHIMNpVEs3STHzm6R42PGJyVUxJTDZiB1dEWeeqmoZCSEo0DHQtl/x2LJtIrHpe3RmEztNgu+WiQHNd8j2y1Xba6NyB5cVgO9iqX8PsXymunVRabzf5Rt27WxJftSXhVR+5Qnp02uNCgQkvoMA6gLmm2UdQ899BCIqHHx/xV3nXkM/znndkSj4aZuzm5jszlwzsX38rUBjpAgIiIiIiIiIiIiIqI9gD9qTURERERERERERETNhmHIv9aiNfVlV/GGBBG1bmZUU6+zZLr81Z1ucuiJo5JRTW0LZFh0lkOGnNcGZRi106pBV0PZN4Ud8iAR3b4yM76p34UyNYfuh0plGlfb6FYkDNnp4PYy7Pr7hNrml1ky3f8ahDT7TtvfmkyYcBMA4KGHJjVxS4iIqNUwI5rMa4PeIxnbtDdb8bpM971Epj3PBFb8K/N6LCrbyLzWsyIV1ZlQMUmJbbbRDcCiriOtKgfITFROxjqpUAOrK1VWSw86iMa3rliuJ2PqutJQuUI1ySI6EFcxoxaXWiRRUpVByV56b7kVmk3imIyYulbV1MWxiiH9oQwoXBwCAJR/Px07c8TJEs10/kmyzxq/9KF7R4ni6Nq+LFnWjGqyWuT4GaovTnsEmib9sVikTK5brtGDeXKNvHJdFKs3SZ3jxklUU+di+W+PzxfKxXtIxRflZGvJqKYebWXfNerQ7NNW2remNI5Sn+zfTMZqkyPbeFy6aq+GQX3keKm0qmT/3C45Xp3axpDnked4/k9ynHsUSR9sVqm4rMZATrZs16ervJ62VEp9XrX8tzXyWsrzRFHglX5lqZeFGdUUjqr26oCmm8dr2+ApIiKipsPIJiIiIiIiIiIiIiIianS8IUFERERERERERERERI2OkU1EtHeIhepd9Jv3H0Gvw68DAAzQZJh6Ya6cLotzZdhzabUBl1UNqV/yjEz7nJM+NYzUcPulc9N30v00merqNGzzojYiQ6lX+63p25gRAokYoNvq3Y/WgFFNRETUaLaOcex5hkzN+B7a+4SrZOpsI7FNQGbRTeY1n9WMQbIh+f0/Q2KF8NvzMu09Um2UAOz5AIB+XimzMSARPzVhdZ1pJu0kIqn6EmG1L6eqf/s4HsMMqk7EtlmTACyync0m15U5KraoQvckt21nl/5sSli32j9SMVSaBeXfS6zoJZdfL81R0UP9ukn9UbXruhBgV+vyPNJ2m1X62SZXIq6CYVsqjklNoaKIdDVfG3Ah1+NXbdRU3VKPVfXB67bh7demAgDG33BjWs9Lq6XM9WdLxW99HkVBtvSzSqpF2zypt6QyntyuY55s51TJqWZfwlEzDNxARY08qqqV41Tjl+0P6puVrGdTmfxdUZRnUf2SepaukwOVlw28+OxMAMDgyRMBAG71cqr0SX37dZdjG4km4Hal/13gULNhlbJltxnJpK2773kQREQtDX9DovXiCAkiIiIiIiIiIiIiImp0vCFBRERERERERERERESNjpFNRLR3+OMtmfY8s17D75d/IcOlO+aNAgC8+sLDAIBbb5Hh0/nlIfhXyNDp/IPHAAAqI2pod9Qn03g4NXy/26kyNYfWW9XwbRXB1N6dhaP7yaIVG2XY9rcHjgUAGFEZyq7ZsmD8+HB9ektERESZYFQTmdds8WAqlsj0vyK9zKhO87t+Fsf2Zcxlfc9Pn9dSf44HorJ9WDUDix6R6QGjU+0zk5k083uFyTyn9D4AQELlQlisaWXbOxLYFJbH0Zhcc5ZHpb8ds+W6dEMggU1y+QmnilYKJbb5LqOWmvfVyX7/9dKstCITJtwEANB1DUcfJJlGbfJqpb6w5B+VlEtMVIciXzKGyWGX2KO+w14AAHwy71oAwPL1bhxzsMSw1tTKMfxttWzjD0hOUXaWFbffJtfr6zdLJ9rmy3X3Qb1lm9/XSD9zPQZCEdmupFKOl8Mm9bnVJXuWHUioY+l2SZ9jcZnPdqq4KKuGdWpfxwyWuldtlP7F1VPy9vwQBvR2AwCqauW45+bIc3NYf9lmzaZQ8piZUUu+Opnme2Vfnmxrsp2pmCpDtUs2qq2T53PlujDmPj0DREREzQ1vSBARERERERERERFRs2EYWvJmdWvQmvqyqxjZREREREREREREREREjY4jJIho71KPuKatffLWI2nzlTVhAEBhngNFXhlDHU3IWOzKH9Qw9f6XyTQRAzQ1Ttscd20Ob4+q8de6nIY3+aJ4Z1EeAODUA2RI9jfvSzzTFVePAQB8+EsCazJqPRERERH9Tz1GyHTlPJn2HpkefQQAFonfQa+zZLr8VaDfhfI4EUsr2t6dDQDYVBdORXWadFXPokdluv81AIy0IqHYNnFR5rWjNQtF9vSyvpjMhw0pY8SiSEVHSQxQahuZbgppqTbrcs3ZO0euU5dVhVWfIijM9spDtXnI3Kmqd+t2/+s3uZ51HzQGAOBfMB0A8NBDk5Jl1l98HQDgpgul7AffFgEA+uwj+6ytc8DljKb177M3rwEAdC6ukGm7SpRVSbticelnv27Sjs8WyHEb3N+CtSXSn5OHSf8sFtlHKCLPR0wdt9mzpuHoUyWeNRyTbQzVLY+KZ4rEDGQ5LGntMssYWz0dZozT/B/l2K7aJEesYxvZtlsHJ5atket/d5ZF9UuOxcYt0vZ9u2fDpV4yNXXSnrYFUm+eR2Knqv2yvtIXQ7tCqScalbLl1bKuTD2P9Y1rmjVNIq5Gj3uwXuWJiIh2FUdIEBERERERERERERFRo+MICSIiIiIiIiIiIiJqNgwjfTRaS9ea+rKreEOCiCgD/oAMqe5UrGO/7jKmumaxDMl2DhoDAAhF1KB2iwOAGvJvqOHtsWB6hUY8ubwyEQEAeLPbAwCOUUPI//HYdABAx0Ov3409ISIiIqLt4pmWvbx9md//uf0ydd2WZC8AABRkSX2bgrZkNGehTf4HosKMBVKbuO122FWqZ0Q1w21TMUMHjwEAtHXKimgijtqoBBxYNanBbZGNQ99LzGfRIWNg12Xdhm9kmV1dP4biUjbHBnR2y+OygOpyhcoB0lIBCuXfTwcA2AaNlQWqL05Vv0sHKlXZYru0cfN3O44IevbxG3Hs4D+kXxa59u3VWaJK92lXAwDw1TkQVzFM60pk3eJVEn9VXi3X3N7sKCxq/4GQHCeHTfbtcsr8qg2W5P/42NU6s0w4Isvzvam2uVVEkjdL1oVUalQybXWrfjjs0r4qn8Qy6WYZTU/WXanWhVU9f5RIfw/pr2P/nhLZtXydNW37Ab3NuKcQ7FbZR36OlHWqY1taIct/Xy2xT6XVBobuL8enoloimiyqwjlP1i+qydSzYyCj8kRERLuKkU1ERERERERERERERNToeEOCiIiIiIiIiIiIiIgaHSObiIgy8PycmQCAe+66GQW5EsPUsUCGSccSMiT756osAIARjgCaOs1qKprJ4pCpGQ9gRjbZ3Mlh8sGwLOvbRYZqf6z2fdIBGp78Zrd3iYiIiGjvterNhm1nxjj1HinThER2Lq5yp+ZVdFD5T48AANwHjQEAeIdIjFKWNYGginFyWVXkT1Tm2zjMqCaprjaqw2mRMg6LGfqkoolUfYVZcbTPk2V9TpPoz6o6qSDHJcsLvBqWboDavywrdnsAAH4V6+RfMB3Y9xK1fxUPpS5p3ZbtA7DNqKauQ68DAPQqkn2eNlwihY4fsjwZ1eSvcwEAOretBQBU10pmUpd2FXjhvW4AAJ9fYo+ypSi6dZBYpxx3HVZtaAMACIQlomlTmUw7tpWyNitQmCv7yvfKNbrLKfFaBTlSoW+rhCIzoqmkWvpuRjS1z5M+2K2AOgRwu+QgxNUCX1CmVouBhGEuk7Jrq6Vdx/WX+apaPRkDtX8Pac+6zXKtH1PHvVcXJ9ZslHXFhVLf5aMmYWt33TkRAGD5ow6by+U19+xTmUU0bW3WtImwWv0N3p6IqDEZSMUctgatqS+7iiMkiIiIiIiIiIiIiIio0fGGBBERERERERERERERNTpGNhERNcAddz2AB/6fDJnu2Faim+IJGWJt0WXs92a/Bxv8MlQ8Gd0Uq5NpQo0PVzFN0PRkmQUrZJj52UfLEPazzhsNABjYx9E4nSEiIiKilJ5nyjQu13b4460/L2uRqE7oEr+DmMoD0nSYGT3OQWMAAH6V1OlVl4UOi5GMCDJ1zJKooJVfSkxo92ESg5TvSCSjg+wqNskmqUDIdcr8kioLNqj0nUpJPUKhXKaih0UWlG8EllSq7W3SEJcu8/4F06VwvwtT/TH3qRqabZMFFg0oOkquURd9OgsAsPoraXPxiRIXtbZEtmk/YB6qfz9e9h/JBQCs3yIxUcvXyvVtVa0Dt9/5AADg/Iulz0cdLNfCpRUS/WSzxlBRI+2yqmMw7ACJcyqpkDimPzbaUOWTAxNtK9fZtQHZh3n8zGN+/Zjx2Fwhz3GnNrLNxnI5TgXe1Hc3sxzyeNUGiUiyW6WGsDrG8YSRjGNqlycP3E55sqtrZX7lugAO6CWvlRXrpT12dSwra2TfX/9Sh03quVmpopsuufx6VVbakCOHAgU5VqzYEMWu6t+tFkf9bfYu10NERJQJjpAgIiIiIiIiIiIiIqJGxxESRERERERERERERNRsGIb8ay1aU192FW9IEBE10M23PQhAhnsDQEwNw7er4fM23UC+U4aaV/rr0jdORjWpwkYM+xfnAgCsath8eZVU+OoLMgx+/orrd3cXmr2bbroJABCOyLGYMX1qUzaHiIiI9gYr/rXj5fteItOIL7Vs6RyZDhy7XXHNIn9uq0tEuFXMkF1dBlp0QCUqJeOEls2X2KP9VBySeV0YiQNLPpuVVv+gY6WMyy5lTugRQ0ilTH0w7xEAQIejpczKKmmLrgHtXVK+b5FE/myolgZlD5FrzZKIDiMaBAB0VmVzHBIltfjTVBv6DR+9XZ8B4Jv3H1HT1LLKmnzZvy71BEJyDRxQ6abP/yeGokPGAAAWrZUj9veTJCKpQ5HEMn32YzvU1kkEks0q7RrQS66xQxGzfzaUqtijLVVyHd6uUPpyYO9aAIBFPQ+rNrjRtS5bbS/tsNukQT07S6yS1QJs2CJtzs6SNlfUyHGLxaWeUBSolKqRl62eLxXnlOuWqUXX4HYl1HZyvBetkHa1byPtjCcMlPpl3bcfzMSewLgmIiJqCoxsIiIiIiIiIiIiIiKiRscbEkRERERERERERERE1OgY2UREtIvMGKELLrkOAJAwZDh2KGqgRg3/LvQUAADKazbvsI5Cb1tkO2Rs90afDAf3uuUUPfyvowAAn78zoxFa37xNmjRpu2W33ToRAPD/7ntwTzeHiIiI9kYHSDSRzSrXZlHDABKh9DI/PSzT/eW6DZqWXBVVeUwW9XXAQFzWWaIaVn0p0TwDj5F9mDFMOSoqqdQnZUMxDb2PkGvNTnlyrelUUU0VKi6oohZYVy3XkcWHSPySLyxlnCqmKBDTkJcljzu2kbK/bZHtu+RKVNKmUh2wSGRRtk3Kbh3VZFr6+fbLduSRaRMQCMk1cDwhByEak37VBWSfm6sMbPFLFNaW754BALy3v8SialohAEDXY8k6nQ55LgxD6imtdKjlQL+ucnyyHFJ3Ya5f1SN9qfG7AACD9y3FsrVyjb6h1A4AaJMv9QTCUm/b/DgO7CP1lFfLPoMrZL7aL/ux6MC+XeRYbiqXdbnZsn37NlJfXTCOj76ViKYDekmOU68u0o5qn/RrfbmG1V/tmagmIqKWgL8h0XpxhAQRERERERERERERETU63pAgIiIiIiIiIiIiIqJGx8gmIqLd5LlnZIj1386Wofpup4FOhgzbXl8rw7hhydrhtuX+Kuxb5AEADOgo2+Rky3i+Xh3lVP154zS7xfmzqKarrx0LAHhs9sN7sjlERETUyuXY5TrOpiJ/yh05QHzH13Q2mw0A0NMdgz8qkT41UU1tL2XCshixsI6uQyWGyZslC8tqpVB1pXx30GmVfa76cib2P0rinPwqLcqu/pr/dovs0zAMaCoqqoND6lsdUN9B/Gk6AKDX4dehS4Gsqw1I2U1hqeiGo6RPW94OJKOkfvvfh6ZeRo17CEvmXwAA0DXZd45bRZVukeveb7bYgERUNuh3obSrXLJPjzpIoo3a5Ebx7ldSvn0baXOWIwwAiCe0ZBmTP2hVU4lN8mZLZJLLKfVW12ahqlbK1AZl+wG95OCefr5cT5574XVwOeUYFhfKcY7F5Dk55mCJXsrzxnHRVZN3ehzaD5EYrVdfeGCnZYmIiFoz3pAgIiIiIiIiIiIiombDMLTkbwW1Bq2pL7uKkU1ERERERERERERERNToOEKCiGg3ueRyGYZdG5Ch6HarAY9ThnQ7AzKFI1eVzpFJQoadI1yO+ZtkGPipPWWouU8Noz/yIDlVF948AQ888FAj9iAzEybcBADos4+Bi6/e+TD1xmZGNd1x+0QAwD337jjaiYiIiCgTNT9MBwD0GCbxSuVRC7Do0R2W7eGWa7uln88CBkqcZI6KXTK1d8m1Yl1Ug1P9RV4nyUOoDMl3Bjd/NwMA0PsI2WfHQ69HddisQbYPVMqcYVYfj6FDtsRL1cbMb2FqaW3v39HAv//5SFp7jjlV4kbHTWj82EuPik1y2KQPsYQ03ghVA3HVQV2uiV0OORZrS2Sxr86OaCwAAHA6pF+1AYlz6lQky1dtzMbgfctke6fU5w8409qQUPFOXncINbW5sn91DBf+JvFO0x6S68nXPvVjhYrPqohJfdcOlWM89qbMrjU3fTsjo/JEREStFUdIEBERERERERERERFRo+MICSIiIiIiIiIiIiJqNgz1r7VoTX3ZVbwhQUS0m+Tn2AEAlT4Zim7RgZqgDAnv6JXh++6gfAT5o7I8Yagh4NZiROOy7s3fZAj7lppaAMCh+8ow8yH7xXDTTRKTNGnSpMbtzFaeeVT2abNKu/K9Eillt0k/C3Pr9lhb6mPrqKbjR0gEgV192r3z2iM72oSIiIhop1Z+OXOnZbJUPNMZ547G60tiAICaqFzvOS1y/ef3y3wojmR8p9MmFytWlbRUdMgYAEA4JvXFEqm6F306C0Aqzgk/paKW2hwzWh4EZB9huXxDRMUUldUkMGKklCmtlvpWlUsEUf7Bss9KFVG1O+17xHMAgCcfkevKQX0qAAB5Ho8qkQCy2srDqA8AUOGTYzP3aYksHTV6HOzqABXmSseK8qvUfA0AwGJpm9yn+eOhDrtcu8ZiFlVGtrVa4hh+YDkAwFcnUU2byrMAAHVBKXviIW5UfyZxUOVV8nw+MmvHcV1ERERUP4xsIiIiIiIiIiIiIiKiRtdibkhMnDgR33//PXw+H0pLSzFv3jz06tVru3J33nknNm7ciEAggE8//RT9+vVrgtYSEREREREREREREdHWWkxk0/DhwzF79mz88MMPsFqtuO+++/Dhhx+iX79+CARkCOVNN92EcePG4aKLLsLy5ctx22234aOPPkLv3r3h9/ubuAdE1Fo9+/iNAICyKhnavWytLLdbgcVqSL3piJMlQigkI8fx/YcSIdR3+HWojciw8g1BiX5aUCbzCz6T4ep1QWBgHzltjxk7HgAw/eGpu70/2yrKCwMANBUh0L6NREnl58i0y0GvNXobGuqEQ9wAgIiMsMeQ/W4GANx2xwNN1SQiIiJqxZw2iUH6YLkViMvfqbBKDFBIxSbBkDKarqGdU64fIypaqSImZbwqKtOnYj6LXfHktdjJZ8r1ZCwuZVwqpsmiGyj0SN2lKlEzX7Xn+P1k4+paLRkTuq5G9p1QodaNEdW0rctHSezoN+9dCQAYPkiubf+9MA/lfolfGt5NYpw6FdnStq0NxNG+SKJMnXbp+9qSIgDJQ4ovf86BO8sLADh8YBmAVERTPC7fx0yo58HiTMCVJde5ZqxTtisCIBXvVOPPRWG2enI+Z1QTEdGeZCB1fm8NWlFXdlmLuSFx0kknpc1ffPHFKCsrw6BBg/DFF18AAMaMGYP77rsP8+bNAwBceOGFKC0txbnnnot//OMfe7zNREREREREREREREQkWkxk07ZycnIAAJWVlQCArl27ol27dvjwww+TZSKRCD7//HMcdthhf1qP3W6Hx+NJ+0dERERERERERERERLtXixkhsa1p06bhiy++wJIlSwAAxcXFAIDS0tK0cqWlpejSpcuf1nPzzTfjrrvuarR2ElHrd9FVkwEAj0ybAADo0k4il3x1cVx25RgAQF1Qhno77DJE/NmnZqTV8dvnM3HSGTL8vosa3b+qUoaKb64LAgA++DkLJeUy/r5n56zG6MoOGYa0uTAvkLbcoif2WBsaavzEB5u6CURERLQXOqBNDF9tVH9uJ1RW5yIV+dP/CgCA1ZGNShXJ1DtHIjrtAfnOYJbVSJtG4hqyVPySO0u26dctGwCwfK1coy1eC6yX7+shxyFlD+giU4dd4o9yPcCStZJlueGb9OvRPenQk54AAPzn5esBAEf1TGDBGvnSYZe20j+nw5K2zdynZ+DlZyS2tFfnagDA+lL5QuGqDRLltLkiDJdTjntExS5pKqrJjGyKquW6bqC82gUAsKpYpxx3SOZVJFTbgji+ePeR3dBjIiIiMrXIERKPPPII9t9/f5xzzjnbrTO2CRfTNG27ZVt74IEH4PV6k/86dOiw29tLRERERERERERERLS3a3EjJGbOnIlTTz0VRxxxBDZu3JhcvnnzZgAyUsJ8DABFRUXbjZrYWiQSQSQSabwGExEREREREREREVG9GUYr+1HrVtSXXdWibkjMmjULI0aMwJFHHok1a9akrVu9ejVKSkpw3HHH4eeffwYA2Gw2DB8+HBMmTNjzjSWivc6ocQ+lzV96xRhoMuIcq0tl2HeP9jIw7azzRgMArBYpUBdKwOOSdVYVheRyyND9Ay0SAfXzRuCt32SI/WmaxDhdP0aGrc+YPnW39+edf8oQ+vwc2ZfHJUPYsxxyE1fT9o5P0/Mvvg42qzxPQwc4AACRmMy3yZUIhjMvnNY0jSMiIqJmJayuEfLdBhCTqE3otm1KybVeNBJE1CpRQ1UhuQ7U1bVjNCEPOnjlejAWB3xhKWNTf8WXV8s1WSQm12TlQR0Rtd2AdnLNGFfzJeVyzZLt1PDN+80ngujkkRIbddNNN6EmINFTnYvdAIBIVI7Tsq/OAwC89nEn9O4iXzas8ctxc9ikTIci6d+4CdNw5x0TAQB/bPACALp19AEAfH6HKluj6rfCYZfj63TI9uGoHFwzsnTFuvTYqPqaNU3aMHqcxIdeec1YPPHoww2qi4iIqLVpMTckZs+ejXPPPRennXYaamtr0bZtWwBATU0NQiH5T7Lp06fjlltuwYoVK7BixQrccsstCAQCeOmll5qy6UREREREREREREREe70Wc0PimmuuAQB8/vnnacsvuugizJ07FwAwadIkZGVl4dFHH0VeXh6+++47HH/88fD7/Xu8vURERERERERERERElKIB2DsyN+rJ4/HA5/PB6/Witra2qZtDRC3chAk3AQC2VIYBAOtKZVj4x2/JUPkj/zoKgJyIc7NlG13lPPlDcnoOywhyrKywYJM6L40cJIW7d5Tp4pVy4/WtV3fPEPxv3rsS7iwV0eSUOIDsLIluqgtmAQB6DPnnbtlXS3LJ5RJj1bWjCwBwyL5y3Jf8kY0ct0QGXHLNpKZpHBERETW54era7udSK2oCEhUETaKWoNtVKXPeghybXPeZwUBmZFP599MBAO2HyLXHprAOt0WuDY/oInFMOdlSTzgqyytrDVhVRSU1Kl7SLesisgm+bkZxTVt795Xr8cBcuU7+4l1poxm9NKCXXEfHYhq6tpdjGleRSt/9WgAA2Fwh9TjtGuw26XOVT67Nzjy6CgBgtcbVcrmWPXrEbPz8ySUAUpGkNqscqDWbpN7XP3Fg9qyGR3P++/mxAIDTz2dcE9Hegv+vuOvMY/jko3ciGgk3dXN2G5vdgcuvuZuvDSSvhIiIiIiIiIiIiIiIiBoPb0gQEREREREREREREVGjazG/IUFE1BI99FB6fI8Z+XP6OaMBAA41TL+kMoGoGkqfMGSYuU0NuTeH7mdZUwl77yyVlf7nHkyrf8zY8Zj+8NR6t2/09eMAALNmyFD0qQ/K0Pi6oB8dimTsu0VPqKk0cNX6wnrX39o88+SMpm4CERERNWOfvyNxQ/sfNRqL6iQiCBaJesQiFZfU/wqZ6q7toppq4vIg5+AxAIBNdRKhicWPIzZIlkVVtZW1co1mU3/VWy3Af9+UfZx2tkRHrSyV+pZ8Nms39K7xdCjyIcshUaQXq+vl/XtIjNLC3xwAgPP/sgFlVW4AwLe/5gIAVq1Pj/Kw6Bq8HonG8mTL0f1+aT4AoCBHrmX/2GhPlp/2gtRXp6JSLz5FvrPZJj8AADjzGGD2Lhw6RjURERFtjzckiIiIiIiIiIiIiKjZMAz511q0pr7sKkY2ERERERERERERERFRo+MICSKiPejPIn8m3T8Rm8qiAIDqWhlOvqlCxuMH1Uh0r8NAR68HABBQ8U6PTJsAABg17iEAQK8uVtx5h8QuZcnoduR65DZ8JCJD9sPR1J35m26RyKdx424AANSFpIyuGcmoJptVhsvHE/KR4XZFM+84ERER0V6kjccAqnJlJlgq034XpxeKBRCxSpxTOCHXYNGFEvFTM0BiixBXF4L9r0BIRTUF5dIseT3XPl+2PaBnNjoVyXZL1krh5h7VZDrgqDk49ESJmarySdtdDung6o1y4RuL63Da5XG+V65TN9jlO5bebBsAIBIzcP/96ZGmN9xwIwDgtz+kvrJqv+zz6NFYvjGRVnbO2zI/bEABAOCwAyrw339Lu449/ZFd72gz88TMCdi3Ww0A4N+fSHzVtGlTmrJJRES0F+AICSIiIiIiIiIiIiIianQcIUFEREREREREREREzYYBDQa0pm7GbtOa+rKreEOCiKgZMKOTAGC8GlZus0o0kkWXD62EYWBjmQxT31Apy376XYbxPzpdopsG9q7G2hJ3Wt3ebNnmL2en4qK++s9VAICfP7kEAGC1lAEAwhH5WDAMDcGwZD5pmgxvj8UtAIAu7cp2patERERErZ7DBnSWNCasi6oH4Sq1Mk+mmg5/ROVwGmpqRjVFfDJNhFLrdblOW1xmBwB0zJZoI1uNXKuV/OzHl++23FihUFSubzdUSn9OOntm2voXn01dJ+/fU8pMf3gqAODCS+W4ldfEcdrZKmLpELkmrvFLvVXqkK4skWvsNh4DW3yybtGn6dFWtUGpw27LR999JOLpy3fk+nnYXx/fpX42Jx2LQkgYcgx8dbEmbg0REe0tGNlERERERERERERERESNjjckiIiIiIiIiIiIiIio0TGyiYiomZk6ZfIOl48bdwMO7OMEAPSPyjD1T36sAwD8/IcM2T9xSx4cdhl2ne9NAACqauVUf9314wEAdcE4Xv9Elg0/UIZm9+xcAQBoXyTTYMiJJauKAQCnnDsdALDgw8vSyhARERHRjvlDgMcu12KF2V4AQLmm/vyOB2VqcQDRGnmckBghWF3pZRIqRmfFP1NxTkpZUOI0l3w2HQBw2Imjdm8n9qAzzx2N0mq5vv3if8ROmdfJ991zMwDgwfsmAgD+2CDRVrF4Kto0EpFtKmvk2DodcvwLPLKfD+dtv5/zLr5OtvHJc/fZwgAKcuT6u0u71hfd5HZFccQpjwEARl8/rolbQ0REewvekCAiIiIiIiIiIiKiZsMw5F9r0Zr6sqsY2URERERERERERERERI2OIySIiFqIadOmJB/ff68MU9+3iwzVb5NnBwCUVoTw1BPT/2c95118HaZNlbqmqWX/fn4sAODAPmEAgMUSR5v8AABgyfwLAACaJuvaD5i3iz0holav5xkyXfH6rtXT7VSZ/vHWrtVDRLSH5biAYES+Cumyqq9E6urP71+fTxXsd6FaZ5NpTK6/4GwDADi8g2z7pWcsjIQ8zrbINMch0y2qqq/f//Ooo+buXy/Nyqh8lup7u0KJY3LYJFbpx5V++MIS2bTwNzmWfbpmAwCqa6Xs+kr5Xmbh4DEoV8+RpsuyJeskIqs4V/azdouBj7+XaNSThkqcVqciiW5a9NlFAID9j3w2o7Y3JwuWevHOPyUK7K/nTNtJaSIiot2DIySIiIiIiIiIiIiIiKjRcYQEERERERERERERETUfhvrXWrSmvuwi3pAgImqBbrn9gQZv+8KcmXjxqRsAAH+/TKKbflgqkU/dOrgBALkeP9xZEtFkt8nQ9Z6HvtTgfRJRK9frLJk6C2WakPMG9h8FxFX8iBFX04RMIz6ZrnoT6HexqiiRXq9ZT9/zAUM9jtTJ1O5R87Uy1TSpi6g5Md8by19t2nbQHvf2a4/g/IuvAwCU/K4W6nK9hf5XyDRcCdhz5XFUncvMc6QmsZxfvDtd5vv8PVn3pp9flGkjtLulyM+Rz5TeXaoBAE6HFwDgsgNOmxzDlSVS1qLL58aSdfI/Qevr5Nj6w6FkfYYmkU9rfbKuxC9lO+fEsU/7LADA72uk7H49SgEAmiZlln11HnoPfWH3dW4PuH7MeADAR9/7MX5iy436IiKilomRTURERERERERERERE1Oh4Q4KIiIiIiIiIiIiIiBodI5uIiPZCZlTTk4/cBACYvzAIAJj2gkQ2dSwuwsH9JLLJnRVL2/a5J24EAHQuluHvZVVOhKNyfzvLIUPk8zyybTwhy3t02pLcvuvgV3Zzb4ioyWnqOy5mxJLFIVPdiuIsiVaymkVUduqmumx50O9iQJeIDFhz0urRrDYAgBGpS0U2OZ3b7ENFoBgxoN+F6rGKPElEZbrsZZn2PV+mvz3foG4S/U89z0i9B3R57SbfGz1GyHTlvIbXDQArXm94+2iPe37OTADAiJGjAQAblqlznRlPt+JfwP7XyGPDSF8X8wMAjvvbKADAR2ssQCh1PbW3a18ocUtmtGhOdgQA4HJoKK3RAAC6TJLPQ87BYwAAYUNW2OxZiKnDbsTk86LSkP8iaa8+ar7/8BEcf/BEAMBfD68EAKxcJ/GEPbuUAQAiUQsWfXYRAGD/I5/dbX1sTDOmTwUAnHnu6CZuCRHR/2Bs9fHYGrSmvuwijpAgIiIiIiIiIiIiIqJGxxsSRERERERERERERETU6BjZRES0F7t81CQAwP333gwAuOX2BwAAo0aPw0ffSpnqWhnWftutMly9rEqW79Nexhv+30XTMGr0OABAuzYSoWKzSoRK7y4ynN6VFUQgmAUAePGpGwAAPy+TeidPntwIPSOiPWK/q2RqRiTp1rTpPlkJWHU5V9hUUklcFd3HI+cLX9QJuyqjazK1qwinhIouCdlc8KkkHDNqwxy+7XZIrkZdQpNoJwBISGxcMtap90iZ2lQkVJ9zUn3QrOllzZinUBVgVZkdy1/dyYGgeuk9MhWf1Vx1O1Wmf7yVvrznmanXxqo3U8sAIKsIAOC02ZFrlRfm5rpg+vaaem12Py21/e5sHzVr/bpJRN3nq+S6qDIclxW9RwKBEnlsxntB5QxBXkN/lLvUYg1IxPdAa1uGupCcu/sPn7vdusP/IjFX5ueNaWhn+SApqZZjXBHUsSUsj91Oqa+zR45xXVRLbmdVHxNWPZG2b4uaL6tyY5/2FbvWoSbyr5dmNXUTiIhoL8QbEkRERERERERERETUbBhoXT+70Jr6sqsY2URERERERERERERERI1OA2/QpPF4PPD5fPB6vaitrW3q5hARNYk7bpuIipoIAGD2rGlp68bfcGPafCyWQJYa5m63yfD2Hh1luHu/rpLv1KndlmT5eFyiWL5fsg8A4G9/f3g3t56I9rgB18vUSM/HKHRY0NYl54NYQs4PZoSGrtIwLDqQUFej4ZgsNGOeHCr+JhDVYFeRTxYV6xSOS9mqsHy/JpAAQnFVUTycPk3I+QxWiU1BrC4VL2W22Yzj0VTDDAPQ1E4NFZPSWHFDuxrjkwkz8sfm2vPxSX3OAaIBebyn+ltf3U+TqZkFZlMxOTavTGO1QFy9jnSbTLOKAQD5ataqA9lWeT1VRuR1WRNWWWOxutS0IRFgvc6SqRnr09yjr2iHjvyrRAkt2CznH3+gBohUy0rzXGSViEvzXNQ5XyLB1n09A+h7vqz77fk90t6W4LM3rwEAHHnaowCAA48ZDTMRy3w7nzBIIvmKC+S4995HPhs+/l5DSZmc+/t1l8+HA/vIuvkL5fw/sA+wYYtsV5Ajz9Gxg9cBACwW2dHC3zrCaZd1Tru8548eMXu39pOIWg7+v+KuM4/hYzPvQiQSburm7DZ2uwNXX3cXXxvgCAkiIiIiIiIiIiIiItoD+BsSRERERERERERERNRsGEZqtFtr0Jr6sqt4Q4KIiLZzz/978E/XhdU4+LjKWPEH4tBrZXh6dpYMvHPYnACAghwZ/p7ndSEYluHyLqcMuWRUE1Er8vMMAIB24FgAQLaKXHJaDCQMiR0x45gCKmppa3ZVPqTWeWwyXxWSc0rCQDKCw6qynty2hJqqK/uohlBCDf41YulTU0IN+dbtgM2ttvOrlWZkk7o81rcaSGyox33+LlMzCkrTt4upSsY7mbE+sRBgscvjFf+Sac8zZGq2IVyd2t6MVPrjLexUQ2J8nHkytecCPc9Mb1dD9BiRasOK19PXmTFIZvyRZgUcuTuuxzwmum3PxREl225JRXaZx73POTI1256IAhYzSkeOd456itu65DWQm5VAZUB9DqqnxGaTQtGYep1s+3qpL/N1ZcrkdULNRv+uci747B0Vh9nzzNS5wnwfJ18jMr+uUmIvBx07GgtLo3uqqS1GUb5EXjzw/yYCAOb/5Md7rz+yTanRAIC+HeTc/fUi+dyIxoCNVfKZ0qFIju1Py+R6VdflPbdsrQX/7z65Lp4w4SYAgGF0AQB0KQ4CAL771Y6aWol0O+UI/hcLERHRzjCyiYiIiIiIiIiIiIiIGl29bt8vXLgwo0oNw8Cpp56KTZs2NahRRERERERERERERETUutTrhsSAAQMwdepU+P3+nZbVNA0TJ06Ew+HY5cYREVHz88isaX+67uprJa6lvFqGvZ88UmJcPnhtNKpqJaZgyH7rG7mFRNRUjB8liu3wM0YBAJaX6qhQsUseFbGUa5GoDKtuTgGLGrNrptqY8U6rv5JzSMdDr4dTbRdXCU2+iGyUbUuFsUbUw7DuUUtkmqO29avUG4cOWFSJSs0rD7QcVYlPdSYuUT5AKkJFV5fOVhXdoztTyyI1qqyKiTLjV3Rbqsy+lyCNGf3kyAX6XSyPLeoa2oyHMqN6zBijXmelypj7MAc9mxFORjwVn7RttE9CYkUObhPHDz9vE9VkxhSZEnFAt6Qeb90+M+rKoSKg4sFUm7FtLNFWg7ITsfT+JYvIZ4TblQO/2Y/lr6LezG3M9kbqgKxCeRyuSu+DyeyLkUg9p2Y99gIAQLFdXjulWm4yisyvosX28UhfXKqMRQcc6rVmvt631JRJfdZstdMGhgf/2fNJLUp+jrzO/37RdQCAF7+vAWLB9ELbRDfle9sDABaWG0C0ds80tAXpd/jzAIDvPrgcAHDzbU9uV6ZjvrzvXn9JopzuuF3inap9UbQrkPPCjOlT07YxywzqE0oue+ihSQCAS68YAwCY/6Msz84Ko1OxnEPKa7aJCiQiIqLt1DvgcPLkySgrK6tX2fHjxze4QURERERERERERES09+KPWrde9boh0bVr13rfjACAfv36Ma6JiIiIiIiIiIiIiIiS6nVDYt26dRlVumHDhgY1hoiIWjZfnQx7r6qV4er33HUzAGDRSgOaJFxgxbq2TdI2Itpzqutk6nUYyHHIeUFXcTfxhJwM1CkBmgZomqGWyVKbPf3rQ/nORDLWyVQVlLIRlcITSwC5Kr5JV/WZ66xqW6uW2j6o2uG0yLRQ7XOjim4yYlEko4csTpnGVXSHRaI5ipwWVKl4KWTlyioVyRM2ZLmRMIBYIL3xZlSQqtdpsyMUjagDoiKH7CoKyTx5mnFPRjwZuwTD7JiKG3KqiKJYXSp6yNxX/8tS6wD88NEj2I5VRV0lompbTaKYgO3jk/a7Sppnk30bYSRjl5LtU9Ezml3qNQwDNl36Ew1L9ExOlhsAEFDPhz9upPZv6jFCpmY81NZxWmZZbZsXiF1Ptd3cznwe1TFIxk7Fo4DFpsqoPkQk5iniaAMAKLAacFvlue1skxeWa5vXaW1IQ21E+rEmqNrnkOek2Cnt26xeO/9TzzNkasY0bY1RTS2ar05erwf0cgEAXvyuSmLdgK1ivRT1Oh3YTq6pPl6D7c8llJTtjPzpug/npZ/v7rn3QQDAo9MnYMGSHUcs/b5ajn9hTup5ueTy6wEAnmx5f7drI+eUhAEEQvJ5ceGVkxvSfCIior1KvSObtpaTk4PBgwejqKgIup5+8f/888/vloYREREREREREREREVHrkfENib/+9a948cUXkZ2djdraWhhbBWAZhsEbEkRERERERERERETUYPwNidZLA5DR4Vi2bBneffdd3HLLLQgGg43UrKbj8Xjg8/ng9XpRW1vb1M0hImoVrh8zHvk5EknQqa0Mab/kmklN2SQiakQnnj4KABBPpC68QypZJ6ZilMwIJosORFRiRkwlJOlbRSuZZcxFZgxTeZ1FrZMd2C1AMKrioFRkUzSRXpHDkrrsrYmkj/KtUNFLZnttOuAyY6bUMr9qaFGWfKcnEAfs27Q1osqayyMGUJcw6zZU3TLvUO106kC5anuRigGyqnU+1S5/WMVFJSKp6KFtJdSBNGKpCCPdmdrOXAdI1JGzAGmdjodlqurPtwFVcdl/B4c8ORHVF/O5MlXGNOSoSKMa1WanOn5mHFbCAEKqPvM5dqrnxFxe7q8BwpWy0uZWfVAxSmb8lBEDDNUATX2/yoxnMud1S6rvlm2/g6V27l+fOhZmbI5JxWAVeeUYeWwJeB1mJJgUyXHJfIVfFvzyyazk5u2HSLSLebzM53NzWAN+no566X4asOrN+pWlFmXaQxMBAG9+4cfn6+S1nOOQ1/m+BfIe/XqjTLt6Zfnq0vXAynl7uqktxqdvXAsAOOpvszPa7ocPLgcALFsncX0Lf5PlD0+bAgA4fsQoHH+InIsS6rSzfw+JzirMlamvzgFXlnzIGSqu79CTnmhIN4ioFeD/K+468xg+8vBdiETCTd2c3cZud2DU2Lv42gCg77xIug4dOmDmzJmt8mYEERERERERERERERE1joxvSHzwwQc46KCDGqMtRERERERERERERETUStXrNyROOeWU5OP//Oc/mDx5Mvr164fFixcjGo2mlX377bd3bwuJiKjFmzF9KqY8KPEE8cROChNRi/f+vx8BAFx46fXYWC4ZSy5HehkzuskwAM2M77GllgGpaJyEkYp1Mpet+XoGAOCAo0cDACwaEFJl4ioyw6UihNwqMsiMGaqLasmooG2jg0wJA6hTMUL+BdMBAPkHj0muAySWydxHQMUUubep175VtS6LOZWG+M1trEayzjIV3eS1pPYBAJotSy13InubmCN1KBFOSLSLVQPC6hhEVZ+dNrns96qr/y0RLRkPtSUkhfbxyJOkaYlkH7wqcsg8dWdbE6peLa0N+VYj2Y58dUys6qtPZt8iCS1ZplBFQJnrNgRVRy0OIKsN0pjRS7pqfCIGm01eLNGoGsavZQMA3A4pG9vquFtV1bk287jJfLnNo0okAIsc32SklZrf8t10AEDeEdcl48Gytkl3sm/z2gFS8WCJbVYVOYAt25X+E4xrarXGTXgQAHD/vTejqs4PAOjTQV6Yr74g58+Dj5PoO5+ZVKFl/F3CvYorK9Kg7Q4+4UkAwDfvXQkA+HmZFwCw/1Hy2fLhvFloly8RbH26ynnhx2Vyvrnl9pkAgPlvX41FK3IBALH4Njl+RETUYAYy/J2BZq419WVX1euGxBtvvLHdsjvuuGO7ZYZhwGrN+HeyiYiIiIiIiIiIiIiolavX3QOLxdLY7SAiIiIiIiIiIiIiolYs4+EM559/Pl555RVEIulDIm02G0aOHInnn39+tzWOiIhajxsmSjzB68+Na+KW1M+4cTcAAHRdw5Qpk5u4NUQtU36ODevLJIakOFfiRrzZ8kWX2jpZvro0Abu6IrWoRBIzzsmmvhMTSwD+sKaWpQ92dqnYocqADpctPSZHUwOjrWobs/7qsI58Z3r0UJ2KSrKrWB6Pw0Ct2mfhsOsAAOtUrJBLlemdF0NNSCrNURFEMVWfGQ+VbTOQp5ZVhdLjj8xYp0BcQ45dljpV3EdJROotUPFHxo8PAwAch4yBPRmFlH4s8tWxCMc1mIPCc1W7gioeSk+miejJNnbO1pPtAIC2LlkRiGrIUse0NKDKqL4Uqn2ZxytmaLCrfTrV81aljqm5U6tmwKWe64jal6YZqj6zT04EVLvikDIePT0GK2FYk/2rVL0pcjnTjoXHlkg+t6aIel2ZbYYjV7UBcKh2hCIh6YNVOuFSMV0WLQ7HNq9TM4YsoCJ1+g6/DrqqJ6BSbSPm8VKvN48jgS09z5CVK14H7d3cWQYO6ysvrMe/CMrC/lcAANb6ZPkWM7LJ5t7TzWtRauscOy/0Pxx60hMAgFtvkYhR8zMBAL5ZLu/ruU/LtezlV41J2zYQtOGK0ZN2af9ERETN1bHHHovDDjsMxcXFMAwDpaWl+Oqrr/Dxxx83uM6MgyjnzJmDnJyc7ZZ7PB7MmTOnwQ0hIiIiIiIiIiIiIjKM1vevJWnfvj1+/PFHvPfeexgxYgS6deuGHj16YMSIEXj//fexYMECtG/fvkF1ZzxCQtM0GDs4gh07dkRNTU2DGkFERERERERERERERE3v0UcfRWVlJTp16oTNmzenrSsuLsYLL7yA2bNnY8SIERnXnRrPvRM//vgjDMPAAQccgCVLliAWiyXXWSwWdO3aFe+//z7OPvvsjBvRnHg8Hvh8Pni9XtTW1jZ1c4iIWoWHJ03E2JtkmPunb1wLADjqb7ObsknbufKasQAAp8pCGdRXphdcuX1c0+jrJXbqm6USXxiJaRh9RhYAwKHiTXa0HdHe6KQzRgEAOhTK92DcLonCqQtKfk4wnEClT+Js4iqqx4xwctolMmNLjYGouvS0bDO+VyXrIBQFQtH0uKSwiimKqnkz8sfrMJDtkPdqmV8qLAvKtINb2qUBqI2oOKeYrPOpNuSqGCW3zUhGGuVkqWgldWUdUNs6bQaiKipowUePpLW982HXS391A17Vnrja3qfiosyoJedWP+lmVxFUZuyRyYyCWvf1jOSyjoden9Z3kw6gXLXRv2A6AOCAo0cDQDKGKhRPRQ6ZkVI2dfzN6Cy7alfCAILq+JvPkfl8hlQ7AzENRVlxtT3S9uWyqdeAoSX7bLLpW0dRAc6tYrsiiR2XtWiAX7XHqtrjj25zEMw6DMCvnltNHah9VDvdKpoq224gWyXCtMmVMrUB9TyobTfXaMm4sEA0PSLLbHt7Txzfr6uShb+/uMP20N7lr/8n58h3FqvXRULlfWnbnOyy2gI/zwDtGT1UVF+WzUBJnZywuubIm/2Hbc7lRERb4/8r7jrzGM6cdhcikfDON2gh7HYHrht3V4t5bdTW1mLo0KFYtGjRDtcPGDAAX3zxBTweT8Z113uExBtvvJHc2QcffAC/359cF4lEsGbNGrz+OnNQiYiIiIiIiIiIiIhaqmAwiPz8/D9dn5eXh2Aw2KC6631D4p577oGu61i7di0++OCD7YZqEBERERERERERERHtqpb4uwv/S0vry8svv4y5c+di3Lhx+Oijj+Dz+QAAXq8Xxx13HKZOnYqXXnqpQXVn9BsSiUQCjz/+OPr27dugnRER0d7JjGsCgC1VTgDAc0/cCKDpo40mTLgJAFCQI9EI5kWCJ1uGht588wQ88MBDadvs290GAJi/WGIVFpWUY8W6TgCA/t2lzKPTJwAArhkj244bdwO6tJOP3etvfBD1teyr8wAAvYe+UP9OETUj770u0RYXXSbRQbV1EoUTCElET47bglyPvDdiMXkDxuLp8UeRWGy7yCZNReGYcUg2K2BRcT1BFUVkxvdYVcSPGd1j0SXiCQCyVeRSbUSmZgST3bp1rqm0NVtdORtGKpoopiKDEiqrx6bKuOyptnizdvzXR9tsaXzC0BBS/Vvy2SwAwIHHSHySR9Vr9tcX1pKxTttGN5n97Tr0OtRGddU/abtFSy8bimtwq+3zVXRUVQiqTOrY5CQjkGTqUP2zquVmz3766BEMOna0Oj6yzIzKcqiIq1xHKsooHE8/FmZMk92CZOyRdZu4o63jmcx1HhUlZdYbVWVqtop9MttqRj0l61evh9qIjhz1vGfpUp8Z1eRWUVq52al+xVXb8zwq2iqs6k0YKKvVVLtkmS8sZczopoQBRjVRmhFHugAAB/Z2AwA++0mSCH7dIm+2yh+mN0m79nYrv5yZfNx3uMQ39e4o7+cfmqRFREREe9b48eNhtVrx4osvwmq1IhKRyGq73Y5YLIann34aN954Y4PqzvhHrRcvXoxu3bphzZo1DdohERERERERERERERE1T9FoFNdccw0mTJiAQYMGobi4GACwefNmLFy4cJd+ByPjGxK33norpkyZgttvvx0LFy5EXV1d2vqW8KMcRERERERERERERET052pra/HZZ5/t1jozviHx/vvvAwDeeustGFuFX2maBsMwYLVmXCUREe1Fzr54KgA0eGjf7vDQfRMBABNufRARlSmyqUwyONq3kTimaEyG5W8b1wQA4bBkb5x4sIpZqCxCllPKr9ooZVauC6Rts7kigmnTpgAALr5c4lFsKnPEbpNtwxFpy5I1MbTNlXXPvCX7+O1LiW7qO4zRTdQyPfvUjLT5Cy6RCAynQ4fDLtePobDkFsVD8n602+R9UOC1IKQilXQVs5NQcUC+gDzQNSDLLsvMa1QzmseMeVK7QSwO2CzmOilUmJVIa59hpLY3Y4ByHOa+UtfANSqSJy8rfR9mYJDuMJJtHv7XUQCAz9+RGCu3U/XFMBDypyKGAMChIoSsqlkhFUm0OqCjUE5TsGrpUVQJ1c5YAnCpmKRl8yV2pMcwOd5mvw0Y2PBN+rp4slsqkkoDHCrmyIygMpkRRGaU1KEnjsLWIVcAYNkmlilhaHAhPYLKjIIy5w0jtU9Tneq7datDpNK9UBa0qLpl3qMiqlxb/Uli7qPYK+vMYxlSsU7RkIGaqAxBL/TKhk51/IpypA67TUM0qnayVVsBwOmQBR+/NAsnnSHPcblP9VnS/1LRYGEd6D1SdWKbHwHU1RObVSTTaC0QURWtehPUOlXUyBtYU+/j+WvU9UO4qolaRNsy4/FemDOriVtCRES0Z+Xn52P//ffHL7/8gqqqKhQUFODSSy+Fw+HAa6+9ht9//71B9WZ89+Coo45q0I6IiIiIiIiIiIiIiHaGP2rdtA4++GB8+OGH8Hq9qK6uxnHHHYfXXnsNsVgMmqZh4sSJGDZsGH766aeM6874hsT8+fMz3gkRERERERERERERETV/9913H1577TWMGzcOV155Jd544w28//77uOKKKwAATz75JG6//XacfvrpGdfdoHylnJwcXHrppejbty8Mw8DSpUvxzDPPwOfzNaQ6IiLaC02ePBkA8Nqz4wAAuZ4ojjtjzwyFX18aST5+WMUomZZ+cT4AYOOW3D/dvlSlKPTvLnkk5z80A+dcIJEnVhWHYsaPjBg5GgDw0tyZOPNceTznSYmuMecLVDyTX0XPVAV1/Fgm2Q1LNkqkR11QIjyeefQmAMDB/Upht8n+ew9ljBO1PJ5suQzdXBFBu0J5D/ToLJE1JeUyNWOBrFagqiYKAAioOKfq2nhaGV1PxfaY0U3+kEzNyCbz/bn1Y/ObSmYMk1nWoktkEQAUqDgnc96u4nxsFiA/W9rhUGk7ZpSUliybCjJKD2VKtdcf0mBX7ZHoIyCi4oQcal/m9MD8OJZWmx2RMkUOWeexy87DMS15XHodfl3avqwqouq3z2dhn8MkPs5uSST7I8dCtSuqwaPqtiYjrmQajSFteSKxbWBTqr64OibRuJFss01FoDjVcYttlZhlHkNzmRlJFVaZUoGoBpv5vKtpQB2vLHWcqsNa8nnr2kaWheQllIxTMvvSOcuADmmIQx0Ls19el55su2Ex2y5TbZsndOQFoxEKp14bQCoKzB+RwusCOmBzAwB6t5Xzeud8KVNRqyKkVL8Xl2enKu9+mkwZ3dTq3HTLgwCAO++QOElEamS6cl4TtYi29csnjGoiIqK9z6BBg3DdddfB7/djxowZeOihh/Dkk08m18+ePRtvv/12g+rWG9KYVatWYezYscjPz0dhYSHGjRuHVatWYeDAgQ1qBBERERERERERERERNT273Y5gUL4gGYvFEAgEUF5enlxfUVGBgoKCBtWd8QiJhx9+GG+99RYuv/xyxOPyjTCLxYKnnnoK06dPx/DhwxvUECIiIiIiIiIiIiIiA9uPwG3JWlpf1q9fj27dumHt2rUAgJEjR6KkpCS5vl27dmk3KDKR8Q2Jgw46KO1mBADE43FMmjQJCxYsaFAjiIho7/V/F00DANx79807LfvyM+Mx8pKpO1w3c6pEHVw3/sE/3f7uO6XMnXf/eRnDkMiMXLdkvTw8aSLG3pRePhCU3I/zr5C2jL/hRlT7ZFlC5b+EI0baPAAsXCt19x0uESobKyWXIxCWbc14kt/K6gBdxYd4HQCAR2ZO266tq74d+af9IGruZs+S1/Qll1+PA/vIsja5AQCA3ZoFAKhSETY9OkawqVxymErK5fI1GJZv6+hqvK9hAHYV/+MPyvuujTd9n2bETnSrMcLxbSKWzBSehAFkO9JjnMx15rs6JxuIpS6JZZ2Wag8AxI1UebPskBNGpdWX7TAQVes80nUEw+Y5ROZtyTg4A51d0mgzxsm+1ToA8DoNhKNSe0hFKxV5jLR+AkCBqsdpk3VmG8w4pfyt+pqMolLzNvVXxNaxWmbdZpu3jtMyt3WofdmsKp4oJvORWGpb888Ms56oimpyqDa4bAYicdlenY6TkU1mP4s82zwxAHJcUqYuZKh2mcdPg131OcclZc3Xhfla6lxsR4WKDSvKk9dida3MV/pkX9lZerKtG3zypJSEpfMWdSRDC6dj6EmjVP9kJxuqdHV8pIzffIEaCSChOqhlPLCdWhiHmUOWiO207LuvSNzaX86e0ZhNahE+eE3iL5f8IRFn4yb8+TUeNZ5v378CQ078R1M3g4iIdqOXX34ZRUVFyfl33303bf2pp56K77//vkF1Z3xDwufzoXPnzli2bFna8k6dOqG2trZBjSAiIiIiIiIiIiIioqZ3zz33/M/19913X9qAhUxk/FWbV155BU8//TTOOussdOzYER06dMDZZ5+Np556Cv/85z8b1AgiIiIiIiIiIiIiImr+gsEgIpFIcr6mpgZdu3at17YaMoywstlsmDx5Mq666ipYrTLAIhqN4rHHHsPEiRPTGtISeTwe+Hw+eL1ejvggImpiD0+SiKVNZXLXffLkyQ2qZ+qDUk+lT+bvu1+G8//n5euR5ZBohHmfSTRSnkeiOI47pAYAcPgpjyXruf02qadjkXx0fvmTRMYU5NoQDEv0RiyW/rEaV5kjG8vjWLJZIjw2hdTKSLVMrRIz0DFb8mY2fPPnEQyfzLsWALBP+wpkOaWiSFS2C4SkD32HvfCn2xM1N3OfuBHtC+W13CavLm1dICSv7TxvHap88j5ZsDQPAFCh3s/rS+R9GIkZyVihar88KMqT91xdUObDUTOCSYO6jEWbXHlQWinngloV0ePJ0pJxQm+9+sgO237ZlWOwfotsZ8YLqQS2ZMSSxZKKaoqqJJY2OenRQQkDsKryIXUpvW2UlDkfTwB2a/oyM1LKjEjyZAFWi5bWH4eKs7KqsoFIKn7J3Hd0m3bqWioGy6zb3JdFLTAjijQAdWGk7atNrlSc45ZpLGbAqqKazHNleY3sLBpNRTc57SpuSkXfmXF25rE1y0k/pGxVSBrmtknhLBtQnCvbuxxS5rUXZwFIRWaFVcxTOAY41THNd6vopmxZZ76m8jw69u8leVrFBdKQuqD0a9EKOXCaBvy+Npx8DADvvZ7+2jnz3NFYsVkeL62Rnbr09M+NGnUsECoHDDO/SnU+Hk0rC6szVUZFQCWnq94EtU6zpsn1SJbKMbvs2klN2Zxm4aH7JiYfT7iVsU17yuvPjQMADNlvDToM/HcTt4aoeeD/K+468xhOm3wXIpFwUzdnt7HbHRh3412t9rXh8/lwwAEHYPXq1Tstm3FkUzQaxZgxY3DzzTeje/fu0DQNK1euTP7qNhERERERERERERER0bYyviFhCgaD+PXXX3dnW4iIiIiIiIiIiIiIqJXK+IaEy+XCxIkTccwxx6CoqAi6nv4zFN27d99tjSMior3b2JsyH3I//+2rAQAdi6rQ7ZCXAQDHDykBAOx35FwAwMwpZtRBbTJWY9aMaQCASffLuo1lLgDAP58ejyynRCL8ukpTU8lUqamT5WU14WSciRm80aOjRD+ZyRnd2+vI90jGyCvPz9ph2zds9bjHsOsAACu/nJlW5oG5sqMzju6CM46WLwZYdKk3HlfxIZ9dBADY/8hnd7gfoubkwisn45v3rgQAJBLy+rZaJYLG7ZIh2roGuJwSVdO5nSxrkyfXoD06Sj7Q6k02rFgrkU+9uzgBAHEVJ5TvlXorfVJHx7ZZ8PnlcY5HtveoyLRwRPYdCMWxsUzeW385QyJ+3t0mfifPa0NJhZQxY4bMGCYz2kjTgByXrDPUCWJQP4mf2lgq55LVJRGUqQgqh7o6z5IENkRUQo8Z0+QPAUEV62TW55EkIbTLl53GEwYcNnlss8pJKNupq/bJvNtlBjYBNSriKltFG0Wtqfgkc782FQFlMaOo1EnPotqn6YChzoBmLJR5/E26rsGmVhrq5GhXEU5ma2xWIPXnhSwNhA3VvlRdZiSWVcUd2S3xtOPksKWissyoJpPbqWpX9XqzUmXNY+t2yjqnOiZD9ndg327Vah9SuNovFVWqOLHFK4PJuKqF6yxp+zzub/Iaqq4zoKsPnv3z5LUTiKqIKhVDVVNbJg/iUcCiKkyolXaPqtHM9LKmPmhMZrxTjxEyXTkP1LqY7/1ORZJScNFl1wMAnn3qzyMfWzszpmn65Ik7KUm7w623yHH+fY2cvwpzi5uyOURE1MJkfEPiqaeewvDhw/H888+jpKQEhmHsfCMiIiIiIiIiIiIionowDA2Goe28YAvRmvqyI5ncI8j4hsRJJ52Ek08+GV9//XWmmxIRERERERERERERUSuiafW/4ZLxDYmqqipUVlZmuhkREdEeccQpjwEAlsy/ILnMjGoyHXvIRgBAQW4NnHaJO5g5VYae21RUyZI/JCbjyAP9+Hm5GwAQU/Ej5VUSnVErmyJhAJ3bSMbIso0qxmmp5H7URWR5YXYCX7wrcS8jRo4GAHQokn2cNjyq5qsBAIGgA//6RDJYHvwyvX8H9pYoqWhMg80q20WiEg/ldKh4G13asPLbc9BjyD//5EgRNR+HnvQEAOC7Dy4HAETj8r5x2CQaxx9wIJGQZfu0qwGQep2Hw/I+cjk9CEXk/WFTV7h335Me+3bpFWMAAF3bJ7B+i2xnVVFExQVmJJFsXFljR1G+vOdLK0IAgMuvku2ffHy6tM9uwX/+Je/rCy+VyBQzHsrrlvrrAjFkOSW+Z/C+Ul/n4moAwOc/5gEAVm2KJGOOClQiT0il7iTUF41UshFicQ1RldBT5JGV7Qtk477dJDpobUkIbfMl32j1xoDaTkUQ2aVstT+ejGHq2l7KRlTF/qAc93DESEY0ubPkgd0m28RVG8x5m0VHVC2sqZVzpNlvk9tlSx5vXZN95Kr+VvliyXaafY6rB9lO9dyoY5RIALoZ1aSeazPmyfxilmEAYXUMjx8hcUkfzpPnypOlYqI0KRyOIhnf57Sl9yusIpyW/hFH9w6ys/JqiWryuGQHVtVNp12D5paZDd+kR+eU10p9bbwG2ubIfgNyykZpnTR+Q1V52jYS16Q6ltVGdV51yqJyuqK1QKRWNVqef8Tk9Yo/3gK1ToP3lb/Hsxzyehg6QF4fzzZVg5qRMTdmHvdJmbOrc2V+jpz3h5/6aBO2hoiImoOTTjoJGzdurFfZjG9I3H777bjnnntw4YUXIhgMZtw4IiIiIiIiIiIiIiJqfqZOnVrvsuPHjwcAfPXVV/XeJuMbEuPHj0f37t1RWlqKNWvWIBqNpq0fNGhQplUSEREREREREREREQGQEa+t6aeLW1JfBg4cmDY/aNAgWCwWLFu2DADQq1cvxONxLFy4sEH1Z3xD4o033mjQjoiIiPakfY94Dos+uwgAsP+RzwIAXn5G7txX+eoAAFZLAj+u3wcA0KmtZGd88aPEbVTUyA33Y05/JFnntIck1mntFhWJVCUfowkD+LpE4jiiUYkdgaHyTAw1//lTuPrasQCAy0f41D4kXubwA38CAFh0KRsMu3FIf88O+3XP1ZLhFIs5oOsSeeKwSzyHry5X+qWibeIq9oaopTjkhCfT5hd8eBkAidZxOiQ7x4C814Iqqsl8nZeU23D//RLVcecd8l6dPlmmi5bLqN62hRK1k58TRlWtxBSZkTwdiuSBU8VERWMu3HL7/47+WL62DqedLXFAc5+WiJ5rRsn7/I8N8r6c9/Ks7bZ7+6UxAIBuHWSfuZ5sfPy9RCvV1MlfKuYfLC5pJsp80u9sh4FclczTs5P0p6hAzkUOm2xktWhY+LsfANAmV85pkaisy3JIPYU5VtT4pa9bqqQd/qCUyXPLMc1y6sh2ymNdVzFHqg9ut9qnioCyWTXEYrK92yXPTUKdBrNU5JLVoiESUe1QcU5mvf6AtMVq1ZLxVSGLlDXjpsxjYrUCdvWjgOFo+l92NhWfpG91+tO3ibM1n5OjT5XnLhJLrXOrU6/ZdrOeUDiBZevkwNcFpcJASI5/dpa5Hw1zn56etq9j1D4O6CFPpM1mQWWNfN58t0z67LWrnUFNowFVoRXJI66rP9vMz5Z4MLVcV52OyGcbo5paP5tFXjtrNuUAALKdif9VnGi3u/NuRmMREbVmRx99dPLx2LFjUVtbiwsvvBDV1dUAgNzcXMyZMwdffPFFg+rP+IbEPffcU69yI0eOxFtvvYVAIJBxo4iIiIiIiIiIiIiIqOmMHz8exx9/fPJmBABUV1fjtttuw4cffohp06ZlXGejfXXyiSeeQNu2bRureiIiIiIiIiIiIiIiaiRer3eH/8dfVFQEj2fHyQ47k/EIifrSNG3nhYiIiBqRYaR/FiUSMq/rEvGxfnMe1pVK1kZxgURoDOonZX9dJVEcd9w+EcvWSAzGh99JBMq6GonHCKuEBIcOtFWRG7pDokoCMdlXSJXxA7jtsrWyLGwHAHQq3gwAiERlX1kOqV/TEjigZwkA4Mf/XgoAsFolnqG6tlL2o8URiZqRM1Jffo6si8Wsaf0EgK/+cxUAYOjJj//Z4SJqdg46/ikA8vpNqCgyh0Pi1BwqWqkqKK//UeMeSsaq2eRtmEy3ycuRMna1XNOAru0lpqguKO/n6lp533TvIFFLhTmp30kz495GXpL+426BsIF3Xnskbdmjjzy8036dcu50AMDcJ24EAPjqtGQ0UJ5bzh11IXn/hlUzCj0yP/osC8JRafPS1TbVduloICjZQzkeOwZ4pM+RqBynyZMnAwCuHT0OABAMxZGdpY6pXfbptBtqKsutVg0Ou4pWUqfTLIfMuyVxDnVyuKDrUh4AIiq6KR6XdoUjUp/dpcGi0oUS6vSUpSKhcj1WtY2RjGgyo56CIemDxSLzdpuOcETqrqpVUU8q3iluph7FAIs6pjG17KhTJD7p07cfSSsbjmlwqb5XqdQji27GV5nRUAn8sjyi9qWWqTa4nGbU31bZT8ppw90AgIIcWffZgjAWr5bHWwLqtac+L/I98odeZW2ZbBwPpSqKSNQfdPUiNmOaAGDlvO32S63boOOebuomtAhfvH01AKBtgbx/eh32YlM2p9Es/EiuFd0uuZbtPfSFpmwOERG1MvPmzcOcOXMwfvx4fPvttwCAIUOGYPLkyfj3v//doDoZLk1EREREREREREREzYbRCv9l4qqrrsIvv/yCmpoa1NTU4Ouvv8aJJ56YVubOO+/Exo0bEQgE8Omnn6Jfv35p6+12O2bOnImysjL4/X68+eab6NChQ8bt+M9//oMXXngBa9euxdq1a/Hiiy/ivffewzXXXJNhrwRvSBARERERERERERERNRMbNmzAxIkTcdBBB+Gggw7CJ598gjfffDN50+Gmm27CuHHjMGrUKBx88MHYvHkzPvroI7jd7mQd06dPx4gRIzBy5EgMGzYMbrcb77zzDnS9/rcEgsEgrr32WhQUFGDgwIE48MADkZ+fj2uvvbbBvx3daJFNRERETU3XEmnzdpvM260Sl7G22o19u9UAAD5dmAcAKK2Q4e6PzJwCAJj64EQkVDVlPonV2BCUaddsWbE6oCNHRZXYVKyJU8WHtHVJmSUAdF0e1wYk6ySekMgNp0P2abNGVLsN2G2S09Kjs8Q8rVzXBQBQUZ0DAPh+STFKK2T7q85cqNpeBADwZNep/kax4ptzAQB1Qan7zRfHAABO+/v0PztsRM3O0JMfx3wVvWG+qy2avMc8KqLim/euxEffqai0GlnXs5PE+ZixRb06qRikiA5dbR+La6qemCor76tObeuS75f5P+34gn3buKZMXXjl5OTj8TdIfFObPNl/1Izx8UqPOxTJe9iTHYYHUdU/KfPpAinzxKMSF/XYjAlwOWVZXVDa/vZL0peaOplfucGOLep8F1URS8WFTrVNKq4qpvKO4ipGyaJykPwB2be21aExDCnjUjFM5VVyTEMROf42ix0uSclDSLqDAjmloV9XmX67WEfCMJ832bfXLX+yZDllGo7EYVPnXLPt5t9UMTUfCBvJZeGILDND/A7/i0Q32dVfQhVBHWvV+d1lVedudX43I5x0LQFNi6t+StluKkrXjKh67cVZyWNx5x0SH+ZUcX6/rpLn9bd1IQQiKj5QNShX7TOoYgWd2W3kGPk3A3F5jpL5Y+a8ijCDxQF0OxU79MdbO15OtJfQ1HnenC6ZfwEAYN8jnmuyNjUGV5acF8zPLyIiat62/d2FcDiMSCSyXbl33nknbf62227D1VdfjSFDhmDp0qUYM2YM7rvvPsybJ/GdF154IUpLS3HuuefiH//4B7xeLy699FKcf/75+PjjjwEA5513HtavX49jjz0WH374YUbtbteuHdq1a4f58+cjFArtfIP/gSMkiIiIiIiIiIiIiIga2caNG+Hz+ZL/br755p1uo+s6zj77bGRnZ+Obb75B165d0a5du7SbCpFIBJ9//jkOO+wwAMCgQYNgt9vTypSUlODXX39NlqmP/Px8/Pe//8Xy5cvx7rvvol27dgCAp556ClOmTKl3PWn9adBW9bB27VpEo9GdFyQiIiIiIiIiIiIiUgyj9f0DgA4dOsDr9Sb/PfDAA396DPr374/a2lqEw2E8/vjjGDFiBH777TcUFxcDAEpLS9PKl5aWJtcVFxcjHA6jurr6T8vUx8MPP4xoNIrOnTunRTS98sor2/2mRX1lHNnUsWNHGIaBjRs3AgAOPvhgnHvuuVi6dCmefPLJZLn99tuvQQ0iIiLaXUJhe9r8mRdOAwB8oaJfyqutiCckX/Gn3/0AAI9L7tXfd498S+HLn/0orVbRLipOo1+OxHYs9amh8REfbDYvACChLjJ6t5EyH78lkS5/fDcSed4NAABvtsRERaIOaWfEmdZOXY+jfdt1acu6dVwPAFhbIj9AVVJuwe+rgwCA97/eX/bZpQpAKprA7QrA7UrPdDxkvwoAQOXSk5LLIjE5TlkOKesPyBBSM0KqujYHPr/krBx0/FMgagpHnPIYAGDeC2MBAFl2eY+5suQLMNGoBe3V+86MO7r46slpdczCzr327DgAwP9dtGtxTJnq3UXF9ah+fbtY4o6i6jzhUnFFVT4rcj2yzoyh87hk3ajR0vaCnFiyXosu54NuHSulvpiUtVry4Ku1qLpl36nIJRsAoLImDKtF1oUjsi9d5QxZ3VLGTMYLhgyEVTRTnlf24bDrql4pE4kZcKngpNOP2gwAqK2T89/Gsuy0+qXtKgrPKvXomsy7s6zJmKQ2eWaElPTZ7ZIyBbqW3K8/IO2q9ss0oVZE1WHq6I1jgzqfV6o4pYg6NlvCqpJQORBXQ9Mt0uaaUIG0T0X09R1+HWzqeL/3rXym5Em3kvFR66otyUi/LBXVtMqnDmKsVqaJ7YfsY9Wb6fM9z1Blo4CuPosS8e23I9qLOe3yJk+oiDOHXT4v1i08EwDQedC/mqZhu8nCjy4FAOR5ywGk+rny23MAAD2G/LNpGkZERP9TbW0tamtr61V22bJlGDBgAHJzc3HGGWdg7ty5GD58eHK9ef1u0jRtu2Xbqk+ZrR1//PE44YQTkvcCTCtWrECXLl3qXc/WMh4h8dJLL+Goo44CALRt2xYfffQRBg8ejPvvvx+33357gxpBREREREREREREREQiGo1i1apVWLhwIW655Rb88ssvuP7667F5s3y5Z9uRDkVFRclRE5s3b4bD4UBubu6flqmP7OzsHf54dWFhIcLhcIY9EhnfkOjfvz++//57AMBZZ52FX3/9FUOHDsW5556Liy66qEGNICIiIiIiIiIiIiKiHdM0DQ6HA6tXr0ZJSQmOO+645DqbzYbhw4fj66+/BgAsXLgQkUgkrUxxcTH69++fLFMf8+fPxwUXXJCcNwwDmqbhxhtvxKefftqgfmQc2WSz2ZJ3P4499li89dZbAIDff/89+aMWREREzcHBJzy5w+WHq+iXyQ9MxKjL5EeYrlVRJ326SnzRFz9K3EaZz0jGMNWpKI9VARWPAVlRmO1F/yKJBWiXL/f6zzxW6pl14/kAgIQRQzAk8VC6LrEamso6sVokQqCyphAAYLHE4VIxSm4V72SzSpluHdcCAA7s7cayNbKvs2dIffu4JGpp9nUyHTrgNwRCkhfSJk+G82c5pV+GkfpOgtcSUe2S9uT0/ijteFX/fjw82S4AwOLPLlRlpe/7HvEciPakEec9nDY/57EbAWwfz9RQ/3fRtN1ST6auGD2p3mXN2Kr2beoAAOeeKOeAihp5n26pcqB9oUS6ubPk/R2JymV/KCJRS+GojrwcWWZGGiXUyc5mk/NDQa4DlTVy3e9WsVBWq6a2kXNSjkfqC4bicDrk3FjlU5FSdpmPRqV+u01Du0J5vKVSzofxuNRXW2dJltmvh+yrMEfa/tsaWVdWJeeobI8FLkmRQzwuZc19R1WUk9WiIRaXxxZLKgZKjoG0zyFNh92qIdsp7apTqUxfr1ffAkuo38SLBQBdbRCV8+jKL1+U+V5nSRs87RE2ZF8OFZ3XOShtdqh4JptuwKJOv76Qapeu/iRLqAypaCB9OQD0v0I9UPFO4WqZGnHA7lXb1amDoiKfep6ptjGAFa+DqKWpWPIXAEDBvu8CAJZ+cT76Hf58vbc3Yya/fOcqAED3TvJt0kjUtjub2SRWf3827DaJ6qypleu+WFzF26nrOSKilm7r311oDTLty3333Yf33nsP69evh8fjwciRI3HkkUcmf7dh+vTpuOWWW7BixQqsWLECt9xyCwKBAF566SUAgM/nw9NPP42pU6eioqIClZWVmDJlChYvXoz//ve/9W7HjTfeiM8++wwHHXQQ7HY7Jk2ahH333Rf5+fkYOnRoZp1SMr4hsWTJElx11VX4z3/+g+OOOy4Z09S+fXtUVFQ0qBFERERERERERERERCQ/lfD888+jXbt2qKmpwaJFi3DiiScmbyZMmjQJWVlZePTRR5GXl4fvvvsOxx9/PPx+f7KOsWPHIhaL4dVXX0VWVhY+/vhjXHTRRUgk6n/z+rfffsP++++Pq6++GvF4HNnZ2fj3v/+N2bNnJ6OjMpXxDYkJEyZg3rx5uPHGGzF37lwsWrQIAHDqqacmo5yIiIiIiIiIiIiIiChzl1122U7L3H333bj77rv/dH04HMZ1112H6667rsHtOProo/HJJ5/grrvu2m7dtddei9mzZ2dcpwYzbyIDuq7D6/Wiuro6uaxLly4IBAIoKyvLuBHNicfjgc/ng9frrfcvnhMRUctw3z03AwAKc+XbAFde91By3WMzJgAAVqyV2I5FqyS3Y1W5jjVBiQJRSSVwqbiiMwfK/GUjgsjOkliTfK98dpjD5Z12qccwNJRWFgAAOhVvBAD4/LkAgHBE4pmsVonraJO3BbV1EsGR46kEANjssi4eleH4/kAuXnzvAADA/a/KPnwxaeBf+0kfHh6/Hl4V+WRRsVAmuy2UfJxI6KqNMk0Y28wnLIiqCKlYTGIOKn25yX4BQK/DXgQRNY3P37oGAOBW56H1W7zIUueMonyJ8XE5I2nbbNySA6dDyqxYL+eb8io513XrKPUU5ISS7/EflkoZM/yob1eJhFq5QbKTNpUZKC6QtetL5Rykq8IDess50+uKwWaVc2NejhkpJfty2qV9mytykeeVNpuxKl/+3Eb2US4VWi1I/gWTp9KKYrJLRKJSJhAyEAhJ/zwqbsoflPnSCjPGSipp38aOYFgqWLpWyqhUJ3y/Xs6hCNcAf7yFHep2qkztHsDikMdWicuDJsfUqZL+8m0GYuqYqqQs+ANqH1H1t8eKf8m0x4hUfTbVUTNCSlcVxsOApr5jFg+mlzHUN99Wzttxu4laiOVf/x0AUOnLhlVdX5lxTPXxr7kSyzmor1x/2W3yHqnyedB/+Nzd2dTdbs0PEgnnUOfIuqCcc+NxC7xu+QaseR25z8GvNkELiWhb/H/FXWcew4ceuBuRSMN+NLk5stsdmHDznS3utVFVVYXjjjsOCxYsSFt+/fXX45577kFOTk7GdWb8o9aA/IDGoEGDcMUVV8DtlvzXSCSyw1/cJiIiIiIiIiIiIiKqLwMGDKMV/ct8TECzMHbsWLz77rvo27dvctn48eNx99134+STT25QnRlHNnXu3Bnvv/8+OnfuDIfDgY8++gh+vx833XQTnE4nrr766gY1hIiIiIiIiIiIiIiImodnn30WBQUF+PDDDzFs2DCcffbZuOWWW3DSSSfhm2++aVCdGd+QmDFjBhYsWIADDjgg7Ues582bh6eeqv+wSSIioj3t1jseAADcfPOE7dYFQxKhUVYlQ+JXV8ggwg0hC9rY5JsMx/SWmIDrzpFho906lgAAbJYo4ir2SNekrKam60uL1fIE2uRXA5AIJACwWWVfWQ6J2bBYYmp5CE6HDL+vC8jwR2dcRiHqumR8rC1pj7telnaUB9Uw1pjEnLz8swcAMPj9Prj8dPl9Jz0Zw6SpNuiqnQloWiL5GAC0bSKbAMCq2mbK9UjESCQqcSKrvh0JAOg+5GUQ0Z4Vj8v72m6T92nX9tXJ97oZ82FGlJgxSO3a1CAWk3PR4H3l3GFuY1GxdImtvsT1tyOrAKTOcbG4bFta2R4AYLNaoKtThtUiD7p1kPmD+21ItsWMFvEHnACAHHddWl/2ab8FwbCcV8zzVK/Ocv7rUCR/upSU22G1GKo/WlrbzTYHwzHkeqS8rrKjXIbM53rkXDd71jQAwFnnjUbHItmn2ynH0KcGfvctygMA/LYx9eOA29k6yqnnmQCAYrech/u1lfrKa6UN1WEdZWF5HA2n9x26+tOs5xlq3paMbDqsoxw3l/ps+Hi9PI9GBNtHNFmkDH7/55+3magFMWMhl3/9d1T6JA7tszclqu7I0x7d6fZnXijv9V8+vRgAEIlk/N8gTcbjknOPeY1YWyf9t1ljyfNefk5l0zSOiIj2GlOnTkVBQQEWLFgAi8WC448/fpd+SzrjT+Jhw4Zh6NChiEbTs6jXrl2LDh06NLghRERERERERERERETUdEaPHr3dspKSEgQCAcyfPx+HHHIIDjnkEADArFmzMq4/4xsSuq7DYrFst7xjx44t6gc5iIiIiIiIiIiIiIgoZezYsTtcHo/HMXToUAwdOhQAYBjGnrkh8dFHH2HMmDG48sorkzvOzs7G3XffjXfffTfjBhAREe1pZZXh7ZZVSAIRNBXtkeuU6ItsWwxX/80FADht+HIAgNMeAgBE4yoyw9CQMORmvUWXEYRmZFOuR4bat8nbAps1fb9mGbfbBwCoqcmXaW0hnCrGybBIe+KJ9C8DdGq7GYM6SLs+WFotC1VcxxVHFgAALjrll2QslMluC6X1E5oOI25GNqlqVORJQkU2WS2RZHyTruIBXE7JM7FZpb+67gIRNQ0ztqMuJPE+dms8Gd9kCobt222X5Uw/P2jqh/YiMfkTocbvQlGeL62MGf1knic6tZVzVVGeBQW58riiQ5bU75A2eN1yHoxEbfBkS0yRRcXPhSNyHo3FZZ9uVwDebPmSk9Ui55Xe+8j5xjxnrt5YhDyvLDNjnUorJMYkEJZ61pY4kFAJRnGV41RSFlbtkPlRo8cBAOpC8WRcn9clx9KMplpZpXKo3J1RP7Ld5sqN0i+joxyfLOnvuroEYKiR5rp6TjS1DxXPhHhQ1aUDVulXSEVT6SpOq8Aq0/JQHNDU54NVjjuWzq1nW4lall6HvYgfPrgcAFDjl/fPK3PGAwDOvnjqTrf/73dtAQCH9K8GADjtsf9RummZUZjBsJwvHOra0+2Sc59haLBY4qoMr8GIqHUygBb6M9A71pL60q1bt0atP+MbEmPHjsWnn36KJUuWwOl04qWXXkLPnj1RXl6Oc845pzHaSERERERERERERERETUjXdey3335Yu3YtqqurG1RHxjckSkpKMGDAAJxzzjk48MADoes6nn76abz44osIhUINagQRERERERERERERETUfDz/8MBYvXoxnnnkGuq5j/vz5OPTQQxEIBPDXv/4Vn3/+ecZ1ZnxDAgBCoRDmzJmDOXPmNGRzIiKiJvXUE9MBAN99cDm6tNsCACivKgEAlJR7AQDfL3EDkGGVxw5eCyAVDVLjlzIOu0R82CzRZGSKObWqKKOi/FKZt0SgaZIfoqtPX7fDr1ok9dptEidSVtUmGQeV5TBjSSyqfhWdpCdw2nCJ8nA5ZJ/7dpf5Fz+TbTCrN2bc+CMAJPdtbq+peCcjYWwX1aRb5EE8GXeSulwwI5/MeqKxVGwVAKz54Szsc/CrIKI9x2aT2I5IVM4TOe5Acp2ZzhYIy3vVZpWyblcweU4zY5gCISeA1Ps5yxFNRj057OllTF3blwOQWLlYXOoryPGrfctJxNyP1RJHVMVB2VSklBmBVxeU81csboHdJucgXU+k7cui5rt3LE1GlVRU5wAAivIlCqrGL+1rV1iH0gqJMVm2VpbleSUSaflaKVvQUfpmt+sIhqS+ULW0y2FTEUnm4HojvS1/asXrMu0xAgBQHlHRSn4z+kpPlTVPvhZpn9su7fGHVIyMJSsZ5/RjqYpxSkTTtwUATZ2jlzxTvzYStWAHn/AkAODtl8YAqF9Uk2n8xAcBAK89K3FtFT7b7m3cLlr6xflwu+S97rTLedS8BjOvPW1WOT+4nAEEQulRTSu+ORcA0PPQl/ZIe4mIaO9w5pln4oUXXgAAnHLKKdhnn33Qp08fXHDBBbjvvvswbNiwjOvUd15ke+eddx6++OILbNy4EZ07S57qmDFjcOqppzakOiIiIiIiIiIiIiIiYciX5lrLvxb1IxJbKSwsxObNmwEAf/nLX/Daa69hxYoVePrpp7Hffvs1qM6Mb0hcddVVmDZtGt577z3k5eXBYpFvYlVVVWHMmDENagQRERERERERERERETUfpaWl6NevH3Rdx4knnoj//ve/AACXy4V4PN6gOjOObBo9ejQuv/xyvPnmm5g4cWJy+YIFCzBlypQGNYKIiKgx3H/vzQCAW25/YIfrN25xw6Klf02hX7eNAIAa/z4AgGEDV0FTZTRIZIdNxZuYzHglAEgYWto6M2oprllhtUjEUzIbKaEiQHQzNkWG6efnVKIuKJFR8bh8VDtUrImux1UVGv525HIAwImHSgzJyvVSXUW1bHPlGTWw21LRLUB6yoepvKoYAPDNoh4AgFOGf5m2XtcSsFhl/2Z0wNbRUVKv9CnLyd+TItrTausk6qcoT97vobAdLqecb7aNPTLPUZGoDfGElrbMlJ0VUvU4EI7Ke96qIpLi6qtdTofUH1dxTPGwBQ51boyr8173Q1/eadvXLvg/AKnYKKs1hmhM+mNGk5jnl2QkniWKcERijgrzqqWsRbYPqeWBkBNxFSGV45a2LvhNIk9ee3EWAGDUaIltyc+1J7+xZlfxV1D7HNRJ5pdssiB0yPUAgM3fzfjT/mgHjpW2xlXsUqBErVDfA9M0QFexV2bUki6fIf5IZJvKUt8dy8+SaJbKmJmxp57Xn/+8LUSt2SnnTt/h8p8+vgQDj/nf8WX/d9G05OOP/z0KAHDM6Y/strbV1y+fXgwAcGfJ9Z/NFkSupxoAEFORmGZUneGU977NKueJcMSJWEzOtWaknovXYERE1AjmzJmDV199FSUlJTAMAx999BEA4JBDDsHvv//eoDozviHRtWtX/PTTT9stD4fDyM7OblAjiIiIiIiIiIiIiIio+bj77rvx66+/olOnTnjttdcQUV+iicfjePDBBxtUZ8Y3JFavXo0BAwZg3bp1actPOukkLF26tEGNICIiIiIiIiIiIiICtvrthVaiJffl9ddf327Zc8891+D6Mr4hMXnyZMyePRtOpxOapmHw4ME455xzcPPNN+Oyyy5rcEOIiIh2p/E33JiManrnnxKz8ddzJNrilTnjAQCllVZsqSoAAPTpUgsAcKpopCMOlDgkmzWGWFyGxOsqwsNiSY/VMAwdkWTEiAybt6hoJas1nCwXCElciMMusSr+ulwAqbgUM47E7apFfs6WZN0AkhEmUFEogMSWAECeV4b6799LpoP7yzTL6U9GNJkXP2YElMUSS9azuaIQADDzFVl2wmFO1ZfU0P9kRJMm0QEx1Q6zzXYVIVDj94KI9qz2beT8FdkqviNhvufVMrtN3t9mhFMsrsOip/9VZEYkRWPmeSIOj4pSMt/rZjSIGdUUU2V7HfZiMn7kgKPmAAD++G5ksh5Aopc8Lj8AIK/v+wCALge9BgDYvOi0ZDtyPZUAgFDYldwOSMUx2azR5PnYqs65ZpydeW7T9QQiKm5q0Yo2AIAbJqZ/g6tLezmv3njzzr/Zdcypo1CnTuebB46RBz9Nl2nPM2XqagejVmXn6erPLDNaKTmNA3bzfK7i/8zTsbmNinTSdB3dXdKvjrkyzVZpT//5156PlyFqzpZ+cT4AoKTMhW/fvyJt3ZAT//Gn2zVFVJPJ45LrNadDTi6GoSEalfODK0vOlQEV4WmeB4PhLABANGpFICSRnbo6l5vncCIiot3N5XJh+PDh6Ny5M+zmtawya9asjOvL+IbEs88+C6vVikmTJsHlcuGll17Cxo0bcf311+OVV17JuAFERERERERERERERNS8DBgwAO+++y5cLheys7NRWVmJwsJCBAIBbNmypUE3JPSdF0mxWCy44IIL8Pbbb2OfffZBUVERiouL0blzZzzzzP/+4SgiIiIiIiIiIiIiImoZHn74Ybz99tvIz89HMBjEkCFD0KVLFyxcuBA33HBDg+rMaIREPB7HY489hr59+wIAKioqGrRTIiKiPcmMapr98AQAQGmFRI/06hxA2wIZEr9P+00AgISKITGHxkdjVkSi5pB4idzIUtOty5qRRdGYLa2snpCPWsPQEFPrAiGJD6mtywYAuJwSjeR2SeyKxRJFIOhV9UhMh03VX1kj8UpVPjc2V0iZdoU+AECeV7Z3qNgpw9CTUU9m1JKupw/n13QNxQXlAIBJoy2qP4nk9mZfzL6a2wdCLtUuiRwxI6tWrGsDItqzAqH0YdOxuAUWdQ6yWsyIJjnv6SrGzWKNwaqilOqCzrTtPdkSK5dI6LCryKYav5yvzKgmMzKp2yEvA5B4phx3KQCg7NeTAQDhSDTZHkBiScxzSeniUwEAbfd7CwBQvP+bAIDKpSclz1tm/JJ5Ps5WESZ2WygVY6eYMXlBdW6yWqLJmKlzLp2aVvbxmfJZsGaT1DvygtF4+bkdf7Pr4ssl8i/LoSOhUpdsKi7vi7qzAADdi4plnzqwLKT+vEpsE51ixjPZXKn4Jm2bdYZsk+OSc3vvvCgKPLLqvdcZ0UT0vwSCcq1W6bNjc6Wc04b035BWZtlX5wEAeg99YY+1a9FnFwEAnPZoMkau//C5AFJxduY1o0WPoTYgEU1mRF0gJFPzOs6k6wYs6vweitjSpkRErYah/rUWLbQvAwYMwJVXXolEIoF4PA6Hw4HVq1fjpptuwty5czFv3ryM68xohAQAfPfddxg4cGDGOyIiIiIiIiIiIiIiopYhGo3CUD9KWVpais6dOwMAampqko8zlfFvSDz66KOYOnUqOnbsiIULF6Kuri5t/eLFixvUECIiIiIiIiIiIiIiah5++uknHHTQQVixYgU+/fRT3HPPPSgsLMT555/f4PsAGd+QMH+4eubMmcllhmFA0zQYhgGrNeMqiYiIMvbJvGsBAEePmL3D9VOnTE4+NuNDSis2AwAcdonH8GTXJaOWzMghq4okMmOacj1VsNukjN0WTltnDpXXNCMZKWJGjJgSCYkqicWtyfiQSFSG1BfllwEAnA65uW9R+47F7cl9/efLAwEAhw9cJe2zShldN+B2Sbs6FJWm7TsWt6r2hpLtiCfSP5/N6CVNAwpyN6v9mxEvEdV22SYe15PlzWVOR1D6oiIFojFZ/tWibBDRnqXrcv5xqnObzRpDLKbOPWpAtBmbZLLboslzUaoeOQfEVVmbNYZQWM53wZBMHR45X5lRTau+HQlAzoNmxEiWOj+Y8XGJcBYAIBq1IZRwJMsDwMafTgeQii4JRzXYDTPLSGQ5ZZ9xdT4NBD3JdU6HxEvVBSXmxFD9TSQ0uF3SjlefHS/bhWSdGVWV45bz1sDe2Tj4wYlST0j2HYtJ+2oDMbUfC6pq5NyYb+5++atyDJzXyHy0FtDUcbaqYxvxpfUF8ShgUxFZhvl5oaJY1DD+XrmyvFcHHS/MmQki2rmDjn8KAPDr5xfCVyfvsdqAK61MnYp12hOWfnE+ACDHLecA/1Zt+e1LiY4KR+RN3+Wg1wAAFUv+ApdTzmnmdZt5rjT7kuOW86GuJ5DrkRi7uqCcY2tq0/tbX9tGWe3sGpuIiPYut9xyCzweuQC+/fbbMXfuXDz22GNYuXIlLr744gbVmfHdg65duzZoR0REREREREREREREO8OfkGgeFi5cmHxcXl6Ok08+eZfrzPiGxLp163Z5p43t6quvxo033oh27dphyZIlGDNmDL788sumbhYRERERERERERER0V4r4xsSp5xyyg6XG4aBUCiElStXYs2aNbvargY766yzMH36dFxzzTX46quvcOWVV+K9995Dv379sH79+iZrFxER7V7bDiP/29mjAABvvPJIctmaH84CAFgtMly+bUE5ACBhSKSGYWjJGCVzakaWmJFJFks0GdEUjsiQeKuKedK17b/jEI2lR6DE1LymGclIpTxvJQDA0/MTKbNuMAAgGJbIkUTCgkhUIqTOumgqAGDuEzcCAC68UqKoFnx4GfK9dWltd9gD27XHMCSixIyDSpjz2nZFkevdovZvxgQkUv2I29PqMeOgzPoRkpiAe+59cPuKiahRhcJmvJq8sUMRG7IcEt8UV2/jcFTOe1kOQy3Xk9ubESCVPhmKbVfRcNGYNVkuHpepts15z2qNJ8uasSHm1KbqMeOYorFUdJ1Zr67OM9kqXslqiaa1DUide1OxdJZkNJNLl7rN83pljRcAsPSPIpxxwbS0eibdL7FMWyplmylTdn6+mjDhJgBAUZ4Gb7Z8FkSi0uYTT5fPnfdXyvzA9rno1V62+2mN9HN5mXoCEvJ8QNOBhHyGQLervUiZXgU5AICOBXKMGddElLn+w+fil08lPuKAo+akrTvw2KcBAF+/eyUA4LC/PNFo7eh3+PMAUtFNAKB+DzQZqReFnCfM6LtgOJosG1RxeeY5MssRUXXINjZrDOXVOWnLIrH0aL76MqOaTIxqIiKireXn5+Oee+7BUUcdhaKiIuh6+rV6QUFBxnVmfEPijTfeSP5mxNa2/h2JL7/8En/7299QXV2dcYN21bhx4/D000/j6aflYmPs2LE44YQTcPXVV+OWW27Z4+0hIiIiIiIiIiIiImppXnjhBXTv3h1PP/00SktLYRi7Hj6V8Q2J4447Dvfddx9uvfVWfP/99wCAwYMH4//9v/+He++9FzU1NXjiiScwZcoUXHbZZbvcwEzYbDYMGjQIDz6Y/m2nDz/8EIcddtgOt7Hb7XA4Uj9uZf5IBxERERERERERERHR3mrYsGEYNmwYFi1atNvq1JDhb2osXrwYV1xxBb755pu05Ycddhj+8Y9/oH///jjmmGPwzDPPoEuXLrutofXRrl07bNq0CYcddlha+26++WZceOGF6NOnz3bb3Hnnnbjrrru2W+71elFbW9uYzSUiIiIiIiIiIqJWwuPxwOfz8f8Vd4F5DP/fvXchHA43dXN2G4fDgdtuv6vFvTa+//57jB49Gt99991uq1PfeZF03bt3h8/n2265z+dDt27dAAArVqxAYWHhrreugbYdOmJGSe3IAw88AK/Xm/zXoUOHPdFEIiIiIiIiIiIiIqJm65prrsF9992HI444Avn5+fB4PGn/GiLjyKaFCxdi8uTJuOCCC1BeLj8OWlhYiEmTJuGHH34AAPTs2RMbNmxoUIN2RXl5OWKxGIqLi9OWFxUVobS0dIfbRCIRRCKRPdE8IiIiIiIiIiIiIqIWobq6Gjk5Ofjkk0/SlpsDAKzWjG8vZH5D4tJLL8Wbb76JDRs2YP369TAMA507d8Yff/yB0047DQDgdrtx7733ZtyYXRWNRrFw4UIcd9xxeOONN5LLjzvuOLz55pt7vD1ERERERERERERERC3Riy++iEgkgnPPPbfpftR6+fLl6Nu3L0444QT06tULmqbh999/x0cffZRsUFP+5/+0adPw/PPPY8GCBfjmm29wxRVXoHPnznj88cebrE1EREREREREREREVD+GIf9ai5bal/79+2PgwIFYvnz5bqsz8zEVygcffIDPPvus2f24yKuvvoqCggLccccdaNeuHX799Vf85S9/wbp165q6aURERERERERERERELcKCBQvQqVOnpr0hoWkabr31Vlx11VVo27YtevXqhdWrV+Oee+7BmjVr8Mwzz+y2xjXUY489hscee6ypm0FERERERERERERE1CLNmjULM2bMwOTJk7F48WJEo9G09YsXL864zoxvSNx222248MILcdNNN+HJJ59M2/nYsWObxQ0JIiIiIiIiIiIiIiJquFdeeQUA0v7P3zCMPfuj1hdccAGuuOIKfPLJJ2m/y7Bo0SL06dMn4wYQEREREREREREREZkM9a+1aKl96dq1626vM+MbEh06dMDKlSu3W67rOmw2225pFBERERERERERERERNZ36/i7zO++8g8suuwybN2/eaVk900YsWbIEhx9++HbL/+///g8//fRTptUREREREREREREREVELdcQRRyArK6teZTMeIXH33Xfj+eefR4cOHaDrOk4//XT07t0bF1xwAf76179m3FgiIiIiIiIiIiIiImr9Mh4h8c477+Dss8/GX/7yFxiGgXvuuQd9+/bFKaecgv/+97+N0UYiIiIiIiIiIiIi2ksYhtHq/pHI/GewAXz44Yf48MMPd3dbiIiIiIiIiIiIiIiolcp4hAQREREREREREREREVGm6jVCorKyst7DSgoKCnapQURERERERERERERE1PrU64bEmDFjko8LCgpw22234YMPPsA333wDADj00ENxwgkn4N57722URhIRERERERERERHR3sEw5F9r0Zr6siP3338/Kisr61W2XjcknnvuueTjf/3rX7jjjjswe/bs5LJZs2bh2muvxbHHHovp06dn1loiIiIiIiIiIiIiImp2evbsiSOPPBJFRUXQ9fRfgDAHKDz44IP1ri/jH7U+4YQTMGHChO2Wf/DBBxntmIiIiIiIiIiIiIiImqfLLrsMjz32GMrLy7F58+a0n3UwDKNBiUkZ35CoqKjAiBEjMGXKlLTlf/vb31BRUZFxA4iIiIiIiIiIiIiIqHm57bbbcOutt2LSpEm7rc6Mb0jceeedePrpp3HkkUcmf0NiyJAhOPHEE3HZZZfttoYREREREREREREREVHTyMvLw2uvvbZb69R3XiTd3Llzcdhhh6G6uhqnn346zjjjDNTU1GDo0KGYO3fubm0cEREREREREREREe1dzB+1bk3/WqLXXnsNxx9//G6tM+MREgDw/fff47zzztutDSEiIiIiIiIiIiIioqYzevTo5OOVK1fi3nvvxZAhQ7B48WJEo9G0srNmzcq4/nrdkPB4PKitra13pW63G36/P+PGEBERERERERERERFR0xg7dmzavN/vx/DhwzF8+PC05YZhNN4NiaqqKrRr1w5lZWX1qnTjxo0YMGAAVq9enXGDiIiIiIiIiIiIiIhoz+vWrVuj1l+vGxKapuGyyy6r96gHm822S40iIiIiIiIiIiIior2Vof61Fi2zL7fffjumTJmCYDCYttzpdOLGG2/Evffem3GdGupxNFavXg0jw1/eOOKII7Bhw4aMG9TUPB4PfD4fvF5vRjFVREREREREREREtPfi/yvuOvMY3nnnHQiHw03dnN3G4XDg7rvvaXGvjVgstsPkpPz8fGzZsgVWa+Y/UV2vLbp27ZpxxURERERERERERERE1DJpmrbDgQoHHHAAKisrG1Rn5rcwiIiIiIiIiIiIiIioVaqsrIRhGDAMA8uXL0+7KWGxWOB2u/H44483qG7ekCAiIiIiIiIiIiKiZsMw5F9r0dL6MmbMGGiahmeeeQZ33nknampqkusikQjWrFmDb7/9tkF184YEEREREREREREREREBAJ577jlYLBYAwH//+19s3Lhxt9Wt77aaiIiIiIiIiIiIiIioxYvH43j00UeTNyZ2F96QICIiIiIiIiIiIiKiNN999x0GDhy4W+tsUGTTsGHDcOWVV6J79+4488wzsWnTJpx33nlYvXo1vvrqq93aQCIiIiIiIiIiIiLae5g/qNxatNS+PProo5g6dSo6duyIhQsXoq6uLm394sWLM64z4xsSp59+Op5//nm8+OKLGDhwIBwOBwDA4/Hglltuwcknn5xxI4iIiIiIiIiIiIiIqPl45ZVXAAAzZ85MLjMMA5qmwTAMWK2Zj3fIeIvbbrsNV111FZ5//nmMHDkyufzrr7/GHXfckXEDiIiIiIiIiIiIiIioeenateturzPjGxK9e/fG/Pnzt1vu8/mQm5u7O9pERERERERERERERERNaN26dbu9zoxvSJSUlKBHjx5Yu3Zt2vJhw4bhjz/+2G0NIyIiIiIiIiIiIqK9j2HIv9aiJfelW7duGDNmDPr27QvDMPDbb79hxowZDb4XoGe6wRNPPIEZM2Zg8ODBMAwD7du3x7nnnospU6bg0UcfbVAjiIiIiIiIiIiIiIio+Tj++OOxdOlSDB48GIsWLcKvv/6KQw45BEuWLMGxxx7boDozHiExefJk5OTk4NNPP4XT6cT8+fMRDocxZcoUzJ49u0GNICIiIiIiIiIiIiKi5uPBBx/Eww8/jJtvvjlt+QMPPICHHnoIgwYNyrjOjEdIAPLD1oWFhRg8eDCGDBmCNm3a8AetiYiIiIiIiIiIiIhaib59++Lpp5/ebvkzzzyDfv36NajOjEdImILBIBYuXNjQzYmIiIiIiIiIiIiIqJkqKyvDgAEDsHLlyrTlAwYMwJYtWxpUZ71uSLz++uv1rvCMM85oUEOIiIiIiIiIiIiIiAz1r7VoqX158skn8Y9//APdunXD119/DcMwMGzYMEyYMAFTp05tUJ31uiFRU1OTfKxpGkaMGIGamhosWLAAADBo0CDk5ubi3//+d4MaQUREREREREREREREzce9996L2tpajB8/Hg888AAAYNOmTbjrrrswc+bMBtVZrxsSl1xySfLxgw8+iFdffRVXXXUVEokEAEDXdTz66KPw+XwNagQRERERERERERERETUv06dPx/Tp0+F2uwEAfr9/l+rL+EetL7nkEkyZMiV5MwIAEokEpk2blnbjgoiIiIiIiIiIiIiIWj6/37/LNyOABtyQsFqt6Nu373bL+/btC13PuDoiIiIiIiIiIiIioiTDMFrdv5aoqKgIzz33HDZu3IhoNIpYLJb2ryHqFdm0tTlz5uCZZ57B/fffj2+//RYAMGTIEEycOBFz5sxpUCOIiIiIiIiIiIiIiKj5ePbZZ9G5c2fce++9KCkp2S03VjK+IXHDDTdg8+bNGDt2LNq1awcAKCkpwaRJkxr8y9pERERERERERERERNR8DBs2DIcffjh++eX/t3fn0VVW9/74P2GIIgYBpyAFxDpUpFWL80VpaeVitXXq4LfVordatD9nRMUJ+731ahUqcK218rXI9Wq9eq8D1wkc0DqgXaK0Uqx1AMSQRGSQBEJSm/37I3raIyDB8HhODq/XWp+1OOfZ58neca+oebOfzx822T03OpBIKcV1110X1113XVRUVERERF1d3SabEAAAAAAAUFiLFi2KsrKyTXrPNjV9qKurE0YAAAAAALDppBKsdujcc8+Na665Jvr167fJ7rnRJyTeeuutT3xW1Oc///k2TQgAAAAAACis//qv/4qtttoq3nzzzVi9enX89a9/zbu+7bbbbvQ9NzqQmDBhQt7rzp07x7777hvDhw+P6667bqMnAAAAAAAAFJdzzz13k99zowOJSZMmrfP9n/zkJ7Hffvu1eUIAAAAAAEBh/cd//Eerxl100UVx0003xfvvv7/BsW3qIfGPHn744Tj++OM31e0AAAAAANgMFbrdgxYSG+eSSy6Jnj17tmrsJgskvv3tb8eyZcs21e0AAAAAAIAiV1ZW1uqxG/3IppdeeimvqXVZWVlUVlbG9ttvHz/5yU829nYAAAAAAMBmYKMDifvvvz8vkGhubo4lS5bEk08+Ga+99tomnRwAAAAAAFAaNjqQ+OlPf5rFPAAAAAAAgBK20YHEBx98EL169YolS5bkvd+zZ8949913o1Onjb4lAAAAAABERERKKe8pPe1dKa2lrTa6qfX6GlRsscUW0dTU1OYJAQAAAAAA7cPTTz8dDQ0NrRrb6uMMZ511VkS0pDmnnnpq1NfX56517NgxDjvssPjzn/+8kVMFAAAAAACKQUVFRdTV1eX+/Ek+GnfkkUe2+v6tDiTOO++8iGg5IXH66afH3/72t9y1pqamWLBgQZx++umt/sIAAAAAAEDxWL58ea5lw4oVK9b5uKmysrJIKX2q9g2t/sQuu+wSERFPPPFEHHfccbFixYqN/mIAAAAAAPBJUmqpUtGe1jJ06NBYtmxZRER89atf3eT33+gIY+jQoZt8EgAAAAAAQGH97ne/W+efN5VWBRLjx4+Pyy+/PFavXh3jx4//xLGjRo3aJBMDAAAAAAAKq0uXLtG3b98oLy/Pe/+VV17Z6Hu1KpDYd999o3PnzhER8eUvf3mdz40CAAAAAABKw3bbbRdTpkyJI444Yp3XM+sh8Y+PacriuVEAAAAAABChh0SxmDBhQvTo0SMOOuigmDlzZhx77LGx4447xmWXXfapn5TUYWM/cMstt8TWW2+91vtbbbVV3HLLLZ9qEgAAAAAAQPEYOnRonHfeefHiiy9Gc3NzLFy4MG6//fa48MILY8yYMZ/qnhsdSIwYMSK6dOmy1vtdunSJH/7wh59qEgAAAAAAQPHo2rVrvPvuuxERsWzZsth+++0joqV3xJe//OVPdc9WP+SpoqIiysrKoqysLCoqKmLNmjW5ax07doxvfOMbuckBAAAAAADt12uvvRZ77LFHLFy4MObMmRMjR46MBQsWxOmnnx7V1dWf6p6tDiRWrFgRKaVIKcVf/vKXta6nlGLs2LGfahIAAAAAANAiRYp22nhhndrnWiZMmBC9evWKiIif/vSnMX369DjxxBOjqakpRowY8anu2epA4qtf/WqUlZXFE088Eccff3wsW7Ysd62pqSkWLlz4qVMRAAAAAACgeNxxxx25P8+ZMyd23nnn+MIXvhBvv/12LF269FPds9WBxO9+97uIiOjfv38sWrQoUnttDQ4AAAAAAKxl/PjxrR47atSojb5/qwOJj7z99tsR0dLEum/fvlFeXp53/ZVXXtnoSQAAAAAAAIW17777tmrcpz2wsNGBxHbbbRdTpkyJI444Yt037LTRtwQAAAAAgIiISKmlSkV7WsvQoUMzvX+Hjf3AhAkTokePHnHQQQdFQ0NDDB8+PEaMGBGvv/56fOtb38pijgAAAAAAQDu30ccZhg4dGkcffXS8+OKL0dzcHAsXLozHHnssVq5cGWPGjImHHnooi3kCAAAAAADt2EafkOjatWu8++67ERGxbNmy2H777SOipXfEl7/85U07OwAAAAAAoCRsdCDx2muvxR577BEREXPmzIm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",
"text/plain": [
"<Figure size 2100x1400 with 2 Axes>"
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"plt.style.use('dark_background')\n",
"factor = 7\n",
"plt.figure(figsize=[(factor*3),(factor*2)])\n",
"lai_array['lai_north_masked_30'].resample(band='1Y').mean().sel(band='1982-12-31').plot(cmap='cividis')"
]
},
{
"cell_type": "markdown",
"id": "19bee172-1f3d-45ca-9454-67e61130a9e6",
"metadata": {},
"source": [
"Same period, but now displying standard deviation"
]
},
{
"cell_type": "code",
"execution_count": 25,
"id": "ee0c3fac-c28c-436a-922c-176d14704167",
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"<matplotlib.collections.QuadMesh at 0x2b005e0ebeb0>"
]
},
"execution_count": 25,
"metadata": {},
"output_type": "execute_result"
},
{
"data": {
"image/png": 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V8AsJIiIiWuV88803uO2227D77rtjxx13DLxWV1eHn//854HYpqOOOgrFYtH7wNV1XRQKhcBf9icSCRx77LGdllX+l/GL4rpup4idffbZB2uuuWbgr7GXpc8++wyfffYZfvCDH3T6IqSnllVk0xtvvIEZM2ZgxIgRePTRR73nDz30UNTW1nb7Rcri2GSTTbD55psHYpuOOuootLa24p133gEg2yWXywWmW2211XDAAQcs1TLT6TTefPNNHHzwwRg7dqy3zWtqavDzn/98sebRF5FN5WbMmIEZM2YAAC677DKkUin87ne/C7y+++67Y9iwYd54ALD99tsDAL799lvvOauM2G233XDwwQfjxRdf7HKZy+KfugNS/XD33Xfjj3/8I3796193OU5TU9MSV97svPPOWLBgQZcVMkREREREJPiFBBEREfV7dXV1mDRpEh588EF88sknaGtrwzbbbIO99tqr04fZ8+bNw//93/9h7bXXxmeffYZ99tkHJ5xwAm6//XZ88803AIDnnnsOZ555Jh588EHcddddGDhwIM4666wuP/z98MMPccQRR+Cwww7D1KlTkclk8NFHH3XZzmeffRYjRozAJ598gg8++ABbb701xo4d6y23t5x44on4y1/+ghdeeAF/+MMfMH36dDQ2NmKjjTbCVltthcMOO2yp5vv2228vk/aVSiWMGzcOf/zjH3HHHXfgoYcewve+9z1cc801ePHFF/HXv/41ML7runjllVew6667LnLeM2bMwNNPP42LLroIM2fOxDHHHIM999wT48aN8/4/xLPPPotDDjkEt912Gx5//HGstdZauOCCCzBz5szAX+wviQsuuAAvvPACXnrpJVx//fUIh8M4++yz0d7e7kVFLczMmTM7xW/1xCGHHAIAWG+99QDIl0n2fzD+9Kc/eeONHTsWs2bNwtdff43VVlsNhx12GA488EAce+yxgS8ebrvtNhx99NF46aWXcNVVV3n/Q+L888/HrFmzvP/FAgCPP/449tlnH1x22WWYP38+fvSjH3mvtba2BqpiurP22mtjm222ASD/F6V8nb788ktvXzz00EPxu9/9Du+99x7uvPNObLvttoH5vPvuu52+fKr05z//Ge+//z7ee+89zJ8/H8OGDcOIESOwyy674JRTTgl8Ubm47SIiIiIiWpX0+X/W5g9/+MMf/vCHP/zpzZ9YLObefvvt7nvvvec2Nze77e3t7v/+9z93woQJbjKZ9MabNGmS++GHH7o/+clP3DfffNPt6Ohwp0+f7l522WVuOBwOzHPEiBHu//73P7ejo8P9/PPP3bPPPts97rjjXNd13XXWWccbb+2113ZfeOEFt6WlxXVd1502bZoLwF1nnXVc13Xd4cOHe+PW19e7v/3tb91Zs2a5qVTK/cc//uHuuOOO7qRJk9xJkyZ543U17aJ+bJozzzyzy9c322wz9+GHH3ZnzZrlZrNZd8aMGe7f/vY394QTTljsefT2zxFHHOG+9957biaTcWfMmOFOnDjRra6uDoxTXV3tuq7rPvjgg4uc37Rp09xnnnnGPfjgg90PP/zQzWQy7tSpU93Ro0d3GnfcuHHu1KlT3Y6ODnfy5Mnu8ccf706YMMF1JQPL+3Fd173lllu6XNY999wTeG6//fbz1ufLL790x40b1+U8l8fPwpSPd8EFF7hTpkxxOzo63KamJvf55593d9pppy7nucUWW7h/+tOf3K+//to7Tu666y53zTXXXOxll+/3C/sZPnx4t/Mo7/d77rlnocsrP3a7+xk7dqz7xhtvuPPnz3fz+bw7d+5c9y9/+Yu7zz77LHW7+MMf/vCHP/zhD3/4w59V5cfRX4iIiIhWeZMmTcKgQYOw2Wab9XVTaCntvffeePbZZ/GDH/yg20oUIiIiIiIi6huhvm4AEREREdGysuuuu+Lhhx/mlxFEREREREQrIP4PCSIiIqKVXDgcXujrpVIJkrzT/40bN66vm0BERERERETdYIUEERERkdp1111XurimddZZB4VCYaE/F154YV83k4iIiIiIiAj8HxJEREREK7FoNIrNN998oePMmDEDM2fOXE4tIiIiIiIiIuoav5AgIiIiIiIiIiIiIqJex8gmIiIiIiIiIiIiIiLqdfyn1l0YNmwY2tra+roZREREREREREREtBKpra3FjBkz+roZK7V4PI5YLNbXzVjmcrkcstlsXzejz/ELiQrDhg3D9OnT+7oZREREREREREREtBJaY401+KXEUorH4+ho/xZOeFBfN2WZmzlzJtZdd91V/ksJfiFRwSoj1lhjDVZJEBERERERERER0WKpra3F9OnT+ZliD8RiMTjhQXDn7g+47X3dnGXHqcbqqz+NWCzGLyT6ugErqra2Np48iIiIiIiIiIiIiJY3tx1w033dCuoF/KfWRERERERERERERETU61ghQUREREREREREREQrjpILuKW+bsWy47h93YIVBiskiIiIiIiIiIiIiIio1/ELCSIiIiIiIiIiIiIi6nX8QoKIiIiIiIiIiIiIiHod/4cEEREREREREREREa04XFd++o3+tC49wwoJIiIiIiIiIiIiIiLqdfxCgoiIiIiIiIiIiIiIeh2/kCAiIiIiIiIiIiIiol7H/yFBRERERERERERERCsO/g+JfosVEkRERERERERERERE1Ov4hQQREREREREREREREfU6fiFBRERERERERERERES9jv9DgoiIiIiIiIiIiIhWGK6LfvdvF5y+bsAKghUSRERERERERERERETU6/iFBBERERERERERERER9Tp+IUFERERERERERERERL2OX0gQEREREREREREREVGv4z+1JiIiIiIiIiIiIqIVhuuGALc//S19f1qXnmFPEBERERERERERERFRr+MXEkRERERERERERERE1Ov4hQQREREREREREREREfU6/g8JIiIiIiIiIiIiIlphuK7Tz/6HhNPXDVhh9KetSkREREREREREREREKyh+IUFERERERERERERERL2OX0gQEREREREREREREVGv4/+QICIiIiIiIiIiIqIVRskN9bP/IdGf1qVn2BNERERERERERERERNTr+IUEERERERERERERERH1On4hQUREREREREREREREvY7/Q4KIiIiIiIiIiIiIVhgu/4dEv8WeICIiIiIiIiIiIiKiXscvJIiIiIiIiIiIiIiIqNfxCwkiIiIiIiIiIiIiIup1/B8SRERERERERERERLTC4P+Q6L/YE0RERERERERERERE1Ov4hQQREREREREREREREfU6fiFBRERERERERERERES9jl9IEBERERERERERERFRr+M/tSYiIiIiIiIiIiKiFYbrOoDr9HUzlqH+tC49wwoJIiIiIiIiIiIiIiLqdfxCgoiIiIiIiIiIiIiIeh2/kCAiIiIiIiIiIiIiol7H/yFBRERERERERERERCsM1w0Bbn/6W/r+tC49w54gIiIiIiIiIiIiIqJexy8kiIiIiIiIiIiIiIio1/ELCSIiIiIiIiIiIiIi6nX8HxJERERdWW9/GU59um/bQURERERERLSKKbkO4Dp93YxlqD+tS8+wQoKIiIiIiIiIiIiIiHodv5AgIiIiIiIiIiIiIqJex8gmIiKirjCqiYiIiIiIiIhomeIXEkRERERERERERES0wnARAtx+FO7j9KN16SH2BBERERERERERERER9bqV5guJcDiMSy+9FFOnTkU6ncYXX3yBCy64AI4T/A/lEyZMwPTp05FOpzFp0iRsvPHGfdRiIiIioj603v7ys+mv5YeIiIiIiIioj600X0icffbZOOmkkzBy5EhstNFGGDduHMaOHYtRo0Z544wbNw5nnHEGRo4ciW222QazZs3CSy+9hJqamj5sORERERERERERERERrTT/Q2L77bfHU089heeffx4A8NVXX+HII4/ED3/4Q2+c0aNH4/LLL8eTTz4JABg+fDhmz56No446CnfddVeX843FYojH497j2traXlwLIiIiIiIiIiIiIqJV00rzhcRrr72Gk046Cd/73vcwZcoUbL755thpp50wevRoAMC6666L1VdfHS+++KI3TS6Xw6uvvooddtih2y8kzjnnHFx00UXLYQ2IiPqJ9faXYbxehsUs8Nmjiz/9BofJMJKUYWaBDKc+vWzaR0SCxxQREREREa2kXNcBXGfRI64s+tO69NBK84XE1Vdfjfr6enzyyScoFosIh8M477zz8PDDDwMAhg4dCgCYPXt2YLrZs2djnXXW6Xa+V155JW644QbvcW1tLaZPn94La0BEREREREREREREtOpaab6QOPzww3HMMcfgqKOOwuTJk7HFFltg4sSJmDFjBu677z5vPNd1A9M5jtPpuXK5XA65XK7X2k1ERERERERERERERCvRFxLXXnstrrrqKjzyyCMAgI8++gjrrLMOzjnnHNx3332YNWsWAKmUsN8BYMiQIZ2qJoiIqAd6GgNTGe9kEVBERERERERERNSvhfq6AYurqqoKpVIp8FyxWEQoJKswbdo0zJw5E3vssYf3ejQaxc4774zXX399ubaViIiIiIiIiIiIiJaO6zr97ofESlMh8cwzz+C8887D119/jcmTJ2PLLbfEGWecgd///vfeOBMnTsS5556LKVOmYMqUKTj33HORTqfx4IMP9mHLiYiIiIiIiIiIiIhopflCYtSoUbj00ktx++23Y8iQIZgxYwbuvPNOXHLJJd4411xzDZLJJG6//XYMGDAAb7zxBvbcc0+kUqk+bDkRES1UTyOgVlTfPzL4+JOH+qYdREREREREREQrCAdA9//xeRVUW1uL1tZW1NXVoa2tra+bQ0REKyt+IUFERERERLRK4eeKPWd92DLlIKCU7uvmLDuhKtR/70nuG1iJKiSIiIiIiIiIiIiIqP9z3RDgrjT//njR+tO69BC/kCAiIuoNrIggIiIiIiIiIgrgVzNERERERERERERERNTr+IUEERERERERERERERH1OkY2EREREREREREREdEKw3UBuE5fN2PZcfu6ASsOVkgQEREREREREREREVGv4xcSRERERERERERERETU6/iFBBERERERERERERER9Tr+DwkiIiIiIiIiIiIiWmG4rtPP/odEP1qXHmKFBBERERERERERERER9TpWSBARERERERFR/7bx8ODjzAJg6tNdj1PKyfCTh3q/XURERKsYVkgQEREREREREREREVGv4xcSRERERERERERERETU6xjZRERERERERET928f3dn5u85EyLLTJcEmimtbbX4aVsU+Lsv4BMowkZfjpw0s2PRHRKsJ1HfnH1v2E04/WpadYIUFERERERERERERERL2OX0gQEREREREREREREVGvY2QTEREREREREfWdjYcDobj8/tFdix5/i9NlWOgAADQmqwAATW9NBLYcI69l5snQLehE+veYiUEybPsSSH0tvy9p7FL5NBbd1NVrpnwci2rKp5d8mbTsLU701tLGcxERUZf4hQQRERERERERERERrTD62/+QQH9alx5iZBMREREREREREREREfU6VkgQEa1oWBJMRERERCuL7x8pw2Jeho7+3eNnj3Y/zaa/lmF6jgxLBSDeCABo3GY0AKAp3SqPq+rkcd4FSkUZP9esM5JlNRXK/ur03RuD7cq1yzBWLcPWaTKc+rRERQHA94+W4ScPBNu55WgvWsnR6d1cW2DZcEJAJCG/Z+YHl219Eo77/eLoxzBhjW76wSgZvn8LaDno5l7L2WoMIrob5dt1v7RtzfsyIqJlihUSRERERERERERERETU61ghQUREREREREREREQrDBchuP3qb+n707r0jAPA7etGrEhqa2vR2tqKuro6tLW1LXoCIiIiIiIiov7Moo3yGn8UjiNaPUSeymssUUFfczT3xi3602cW6HQxGUZrdZyCDktASP9e0gnrUB+nZ8kwVu3HLyUGyDAU1WHCb8PH9yzFCi6GTU+Q4Ud3dX5tyzHSrJB8vJLVf1zqxzsB+Oju3mkXEa1Q+Lliz1kfzv34CLiljr5uzjLjhJIYvPHD3DfAr2aIiIiIiIiIiIiIiGg54BcSRERERERERERERETU6/g/JIho2Vpvf/93K8me8njftIWIiIiIiJbe5qfIsKTRSpqQBLeEfEczAMBJNMhTeR0nPkiG2SYZZhYAU5+W3+1eoTg/uBx7HQA2OEyGkWoZxjTeKRwH6ocGp3v3xiVanXJDf3Q6ChqtNO/NiV2O42w1Bu47uoxQrPuZaTsym50kjz+8Y6nbRUREwnUduHqe7hf607r0ECskiIiIiIiIiIiIiIio1/ELCSIiIiIiIiIiIiIi6nWMbCKinrGy63i9DLMtMiwvu64cN1olw08fXvT8NzgM+OzRnrWRiIjE9w6VIaP0iIhoceQWyDCUkGE4KcNihzeKm2vTcTTPKTNPhv+735/PxsOD83XCOpS/kXS2GuPNx9GIpogmW+RzuqxwvHNEk0VK2bLfu8l/bdMTZPjRXYFJan44GgAwO+/4cUwVrxVcXU0AeY1hGpKUj0/mYCEY1URERLRI/EKCiIiIiIiIiIiIiFYY/B8S/Rcjm4iIiIiIiIiIiIiIqNc5ANy+bsSKpLa2Fq2trairq0NbW1tfN4doxbXxccHHbkGHJRl+8sDybQ8RERER0SoouvUYAEA+0wK4ensfjsswPVOGsToZJgYhqn+WmM9n5ZcPbgcgsUkA4L5zIxJbjwYAZLIpXYpOFIr5C7br/8rHdj/gRPzno7r8QlpeilXLS0Wdppj15j0oIdPNy+t8sxIbFU02IqwfX1Rpc5o6ZH5eLNOWo4F3J6IrFsdk2ksO3JJlM2VkGTGJpMrbKjjoFOu0NNbf6TREtM22iVJ5+UvZmD4fDrn44rWbu5x+2HanAwCSEZl4ajoMtyAdVBOT/kplZR0GJSVea96bE3vc7m5tOVqG9mnSewtZlo3bzXYh6m/4uWLPWR/O/ugouKWORU+wknBCSay26YPcN8AKCSIiIiIiIiIiIiIiWg74hQQREREREREREREREfU6/lNrIlpyGw/3S7Id/V6zqCXfBSkVxgaHAZ89uvzb1h9scJgMu+q/9faX4dSnl197iIiIiGiFlc+VxVnE62VoUTpfPNVp/PptRwMAQhGJSGrVeCabKAMgrpf4mY/u7na5g3Q+8zI5fUY/XohIZBBKcr+QiFZhUEzmPS9XBQCoCdtjvYcIxTAkKdMvKEiU0dCY5CY1hwYAAIrwI6TiyRqZLirRT9/ZQSKNpmcd1G4j7Wp6a2KgvamizHdYXObb4LgoaDTTLE1+yr8djGdaWL71+judBgDIFh2ktc1Ffa2lYtkOgLacjJMrybBG45cGJKURJRf4rs6zKSsboCknc5yZk8d1RZlmYMRFveZWzdMuRCjauZGbnaQrovduC9meC7WF9C/euwkAMESTu+boOmHTE4CSZmx9fE9wWkY1EdFS4j+17r9YIUFERERERERERERERL2OX0gQEREREREREREREVGvc7DwKsRVjv0nd/7Hc6IufP9oGYYigKv1zVb+W9IC5Z7GNDGSaPFseIQMP324b9tBRERE1N9sOSbwMKp/xpfXy1/HAapDchudyus18Pu3LK/WLZEhPxodeDynbQEQlwgkFPU63q7n9fq+PlmFrK5rJq9xTBq/1JiUyKVICAjpRwmz3pAYn6E/Ot17DZAIIpPRuKQqjSlqzuvjsLyeCLuYk5XnMm9PlHZo9JKmFCFV8OeX0Ols3K406vTWHi9eyLwbjGcCAGwp00RDMm4YLorwfweAiM7GYqeSEX9FWzRaqXI9V0uU/Lbra/M7ZNwOjXBKhvz52Pqltd8sWqouKuPkSkBBoz9sO9g0rbrMkANEHHltdl4jn8LBj3+iDtCoEVat2j+xcLBLSq4fMzWnQzZCTUzitQo6u3ioc0xVf7LV7qMAAO+87B/nFq8V1v1rrm7PyqgwWvXwc8Wesz6c9eHRcEsdi55gJeGEkhi62QPcN8D/IUFEREREREREREREKxD+D4n+i5FNRERERERERERERETU6xjZVIGlVURLaKNjZWil3p88tOyXURnj9P0je29ZREQrO0bfEVFv+94hMizmg8/3k/PO2jtI9JDFDM1pT+srFrsTAj66a4nn9/XrNy1xWwZtOxqARO9YbI5ZmmiYQduO9qKUEhrf01qQ+Wb1Lzfz2TbUJ2sC07WkW+WXyb+X4UbHAuGk/K73AYlEHQCJ7wGCEUTWdk1C8tqQ1i6NOEDqv7o+FZFZ9pFFIgQ0RIIxUdY/5fOz5Vvs1BpJ+cXilOa9OdGbNqPjWHSUzWdeTn8p5f2o2lIOXQrFkIglAACZjhZdoWpZRkJCKRpiJaQ0SqlGY5esd7K6n0UcIKXbIqZ9Z3FTFgtV1KbEwp0/xolr/kVOU8Qmv3ILNtpZYoXmZ0KB+X7briM5DoYl5TXbRjW6rLgOW7IOShpbVRv1o6cAoEPbOyOdBwoaq/LxPYFx1t1R2pDX+X/77yU/DvqK9Z8ls9XGXbRqtJgdjZ+/dvMSz3e7n43EjDbZ6WybWP8vzXmCViz8XLHnrA9nfnBMv4tsWn3zP3LfACskiIiIiIiIiIiIiIhoOeD/kCAiIiIiIiIiIiKiFQb/h0T/xcimCl5p1Y9ORVuqAyhl5AVGwxBRd1a0eJTvHSrDKY8Hn19R2rnhETIMRWXoaLGeWwKKWfm9oOdeR9+wv3hq0fNd/4DFH5eIiIiWHbvGiEhsDT57tO/aspQ2/IlEs7RkHS86pU2H+bdvBADU/HA0ACBVAPDexEXO0+JeWjTiZcZ/lm0Ui7XHopbCcJF5u+t2Df2RxEbN6igiEQ3+XaLFFtXr0y3Zsmgiu17T2KLGmMTMNL01EYmtZfmZnFy3OVGJcKrTOKGiftIQLvv8xeKUWjXttVHji2ZkQ8C70s/RrSWyyfq9cRtZzuBkCZ/+IxiP8x2Nw5qlfVyEgyqNwLHIqGaNFcpo7M4GtbIuX6dDqNGopnnplPxSaNf11n0ZJdRUDQAArFGl0U+6LItTyhQdDEzIaxap1FUck8UsJXWdLR6qULIIIP+jmaIbjLiK6rpkdF3CIT+aKRGx+dk0Ggnl+ss31ua5HfJLTdRFi0ZJDdP1s3bMy4S9dlo7qiPByKaozq865uLdJhk/Yf1SsS+uub1sq7aCg5aliBv77k5yPFk/fvzqLZ3Gsf3ctnk8hKValsVMTfuX7G9b7j4KAPDuy52XWWnjnUdhQJW08V9/uXWJl+1FlunxIDM9ToYVcVi0YmJkU89ZH854/9h+F9k07Af3c98AI5uIiIiIiIiIiIiIiGg54BcSRERERERERERERETU6xjZVIGlVcsYSwtpZbckMUcrSiSS6Yv2bDxchha9ZGX+xawf3/D9o/W1mAxLGgtQygOJQfL7B7cv+bItCiqflqHjML6JiIiIFmqDH0s0S3PO/1u9rKbSWORPtUbsTNeYm0wRGBKXceZ0aPbQB91HswzadjQAP/ZmzhsTAUjc0FcZmWe1Liv134mL3Xabr0UuVYX9eXdr85FAWLKZoqGFRFLlWmT8aI0M9douGq8GIPFQVdplTRqPY/E9ec0iWr9aGjY7E0JBP3WwyCbr4waNG5r1xk2d1qdGo3ksZqgq4iKnEUQpXWaNTm+PS64/frro9wsAzNVoIq+vsxkgLBuyMSqv5dzgsqujLtp1uo5SMP5IZ4sigJa8G5jP0CpZuAuLd3K9/rH5teVkuJr2U3vO8eKXojrzjrwMLcW0XfdTx3Gh6Vne/GpjwY92ckW/L2zfy2uf2JjFkoOw9kdc17nD+lbnVyg5XkxShy7LYqdadP+NhV189s9gnFYnW44GINFgrbodB+h8mxYSq2TRZxYl1ap9UL6+CzK6bbVds7VdS3I8bfDj07wYrbhuh8mvSETTJruMCjzuTXZOKo/lmpeV9fHip+ye6+N7l2retm1tW9t+EQ37UWKV8Wi0+Pi5Ys9ZH3773i/7XWTTmlvcx30DrJAgIiIiIiIiIiIiIqLlgF9IEBERERERERERERFRr2NkUwWWVi25Nbc/HYCU9mW09LJNy1nzBS1hfn8JSxs3OwkAEI0lZT5aRtwVZ6sxAAD3ne7HIQr4/pEyLGltqkUJLav5fvKQ/9wGh8mwkJHh8ohPsqim7kx9esWLlyIiIlqUzUfKcCHROERLKrH1aABA5u2JACS2yCJ+Chod1ClOZsvR/l30exWvLWQZXsSRzs/ZagxWi8pCcnr/1JSRa8ZELCHtKosJshgha59Fq8zX2JXBUXeRkU2Dth0NTRfyIoeqNJ5mtkbhVIVcFHUci7zx4pz0cXTrMV4Mk3FdjRvSfKB6be+8vINGXYZefXvRTSYWctGscUC2nhYzZOuZKzleW62/5qT1GtuJ6Mi5sgYVrGEyDMkaR+O13nquWS0tymof2nxtmd9mQkC2WdpVVQ8ASGjbLVpqUMxFRGOPrN+mpWVZG9dJG1L5EBK6Xildz8FVMoMqjc/J5v1tnS0ioDJ6ySkbx1bPYp3ma7TYkKqS1x4bp+jKSGHHj4YK63S2v9tmTWmkVDLievNOaDdblJBFOH3+mh/vYxFLSd1W87Q9c7IybhEO8kVdmKMrVpBIlh8MlrjXkgsvvqpJp7fesfgoxwFKuj4tOu+GeCnQF5GQv+62Xjbf8nEAiS2ycayfbb8wkZDEZZVLaz8VdN8pj67aeGeJevr41eDnIWvvcLq3DaxPQ/q4Ni7D9pzj/R4J+20sb19zh0WCAe//PRgvZesdtpi0gh8Jli0GI65sX4qH/f3gg0m9H0/VX/FzxZ5jZFP/F+nrBhARERERERERERERGdd14LrOokdcWfSndekhRjYREREREREREREREVGvY2RTBZZWBW21u5T7hUKuVxZoJY1ORQkt4JcFWpmfTWOlnCUXyBeDpYyDth0NIFjymtTSQZuuSkuZrdTxOzuc3qmtaZ1vrY47ICnDUsnpVKqa13LKTMF//O2/bwIAbP3TUYH52jiTX+mfJYs/3EPiD7IFBx+uqmWZSxJftNGxMsy2ABEppV9mkU+0/K23P2OriIj6QkX80pAfjQYAzHljIqJbSxznZg1yEWbXcbPb5SJ0WE3Juw7tyAdna9eK6+54Gqb962YQ9UT9NqMBAC2VkU1lryU1qmfWGzd1GmfYdnLPMjcv+25cI1kaY8HoHsCPvDVhvU23mKdYyPXuw+o1liajcTLFksW2+FFLMY14+fQfi38crL+TRO2EnWDsTDmLbiq4fsxVJxseIcN8Wobxej9SKSaxR47eKA4I+zeTTXmLEZIVzZfsFXl+SAyYo4lMNbp+qaxENg2tigOQyKW0Tpdp/VZ+SQ6VoZ44hiRk4ljIxWrV1pcySktWlm1RxKmiH5sV1f5fQ/s/pf2fd4GsLrOowUK2/QbF/IipiG7/eNjinTSiSu9fIyGgXfeJNt1nhlYVtU9k/nbOc+F40UXRcPAjHftrYtf1z58Wy2SPLfrHcYB2jeqq1fWy9bQYn7qEP39LWnrzxc7ReRv8+LROzwHAZ6lw8ImWL4CYxGYhKsOauNxXDU34EWYD9Pcv22T6oXp/36H9bscB4O/vFiVlR1PR9dfdoouaMxZbFXw+EnK97W8sZitc9rQtfzWN+8rpvmLbwXUdL37JjlFrj0UlteUc73MUi7ZqTMowrftArgg0aN/b9rLX7LOOdo2Lqo65eOsl2Sbf1ePY4sdsHaydAPDl653PV/2JfV70ZatG/Xx013JdPj9X7Dnrw2/eHd7vIpvW2vJe7htghQQRERERERERERERES0H/EKCiIiIiIiIiIiIiIh6HSObKqyqpVVbajRTXMsFrRSzpOWesYiL5o5Q4LXauIyb1DJUB36MU76iVNIeu/DLTe21kH4tVtL55op+yaVNZyWSFvcUi7idpi/ouEW/chMA0JoNeWWVMS2pthLcZi15THW0euXDePdGdGXQtqOR0mU0aD/N0pypQXG/7NdiqiwCakVhUVSJqJWSyvPWx5EwkNH+ePflpYhusuiFQrsMHQfomBccZ3lE42x8XLAdxawMv3iq+2nWPyD4uHzcTX4lw8m/XzbtW1aWJGZqRVPZ9r5Yl5W5/4iIVjb6Xjqous6LLLGYlMq4z1Q+5MV0WBxJqSx+BAAiYde7JlySaxaLhVqg14UFi/R8p+trP1oxWPyIxRslwt2Pu8xjSDY7SYYf3rFs59uFRo2AqtFrdYtZsfWuibpehJFF6qRtX9bnC67j3YtYHIzd/3jxu45E05TPuzJuat0dT/PibD7XqDQUNSvpg9uXfiUB4PtHBh9/8pAMy2M0LSI11hAc1wkjqg0bGJGVro7a/atG8hb90WOVSUG6vrUR/yMQm35glcxvdioUeD4ahhe/s0Dvh71o4LJ7ZTs/ZQtd/8PSQtk9qm0/t+K1rqa0+2u34lObQgmoKrsPL29PW1aGdYmS3y/arkSk88c/Be/eX4Z6a+vfNwLIat+90805d9s9R3r37HO1D5s0/siiuJBrlWFmPlA1BAAwrKZal6nRRNreoTVFlPR32++TFdta1kuGVdFgtJJth2wBiEeC62PrUhlBnS34cUwWn+Totre2hEKut1/ZdJWfnYRDbpeRVpU2/Imc2+ZnpNEJ7z1PXq+Pu96+Z/P+36vBKLWNdj7Nm2ZJ4tkWZrNd5XODnsQ5b/cz+WygPed4UXMWL9Was8gti5Lyz0+2HW3ZNp+OvIP3/77k7dlG46lt/5+bDnnbrzYmG85isOriwXPl9FTY2xZ27WIxWE1dxPiVW1U/V1yWrA+/fmdEv4tsWnurP3DfACskiIiIiIiIiIiIiIhoOeAXEkRERERERERERERE1OsY2VRhVSqt2kpjmgApKwSAgpagNWeCBaNF1/HKfS3WyUrlczocXF30dqZQRWmplRiGHBf1VfJcJq/zLlkbZJjN+8u1+VnMU0zLLXOFzmWrNp8mLaXNaru+bc8DJS0xDie1QboQR2dYTHu/J+LSwGxFPEBjxI9jqix9rtVy2YHVJcxpk+VbpJXfX7reWi7YkxLISrYtrcS0yisxluF//nortt1TyhULxeC2tRLYQsnpVAJaKbr1GJnm7bJog81PkWFJ6mXXrJU+/ratA8hrWe6nD8vQyq//d78/vUUiRWu1QXrc9TQiacMjgssm33r7AzEpj0YoJsOP7/VfA7qOMupq+60qGPFERBS0xWgZZufLcCHvDT/YTa5TXNePzPDiZPQa7/UXJN5iy91HeddO8ai81qGXcXYd+Nrz3Udh7HGgXO+ks8C//rLoyAxAYi29uBW9XpudlobNe3MiAGDtHU7H15VxQNYH701crOXQ0hn6o9MB+PuKH9Ejj/Ml/9o3ofuI3dv4kSrO0kWSVrDYr9poyb/X6KWY1u/sIOttkTGAv352XzFXI3GiFncScb2/OLRYJpvaIphyRceb57R/dX/tv/HOwfuL9kLwbxkXFJzgPcGi2LWUsWvRiN4DFDsAV/N3QgkdRyJ1nZB//7K6xqy0artSmr02JK73m3AxrEbGKVZEwtlx/vGrsi90dT+c1EvjVMaP9bHYnGhFrLBF/hSKDmIRu5/W1bGIHx0nGna91ypjtcrH7dDb1Jp4cB+2acrjinJFG3Ydx1TWbd58qvW+1SKNQo7rnWvtPtxeq477kVB2jjY/3mektsd/zpZukU3W/215eTwvp0+0TkN0wPoAgAHa5gFxmZHtt/EwsCATjNKxe9tk1PrCX6/KvrXPKhyURTXpellETzQUjHmKhFykcvKgQ8exeC7bP6Jhfz+qjKt2Xft8xO8Tm4+9r9lnAeV35M26zCFJmdDOLV+8djM2+LFEMn32z0XHMS1J1NLC5mvHvh0nS2PHvWX/cF1/v7B1tm3VpuevuR0hb93Tuq9YpKJFeVVHXS+izKb/70vdv8dvrn3RUBX8LCabdzBLY+gsfinlfU4jv1gc97z2Vn+GttFDehJwLWcthEFVNTK+XUC8f8sq9blib2FkU/8X6esGEBEREREREREREREZ13W8L/v6hf60Lj3EyCYiIiIiIiIiIiIiIup1jGyq4JVW/ehUKZ+xGJkPbu/bhi0DO+ylkT1aXZbJO155opUO5ovBaRqrZOT56ZBXKpmMBncZm18sAnzbHA68ZqWNViLsOH6pZKFiz7PYo/a845XEW6myzaddSx6bCw4yutwhWlab1cctmYz88uEdAID6bUYjqdM367KH6roMqZEVfvNFP9LIWEmuW1YGav1l32lGdByLEniri7LBnfbxyxUBv4w0nXOQ0apki7Sq1VLVN19cvIgBY+XG71SUov9wj5Feey2Oy0pdrdz37b/JND/YbRTe//vilWWuv9Np3rao0+02OxMszU2EgHnptDwotMvQiwe6R4ab/Ar1VXUAgLS2Z3BU+mDGf8rK37ccLcOclk32NM5pVbf+Af4OaRFEVkYf03PeJw90nm7j42Ro9cncDkREq66FRNlt97PgNafFaxRKnUbFYLkMwDx9i3/9hVtx8JFyXZPOynvVfK1o7+o6a3u9vs3pNV55vInFrHQ1HeBfJ3XkHUx+JXgNZHETXcU+2TL/rREmia1HAwAy+QLwwZJdwy2tbbTtkbDfjhXJdj8b6UVs2f2FtXOTXWT7RkJ+1ExlbKjFfIUcdIpa2mU/WXeLf01EgQVpx5sn4F/v2nX3t61hpC3aVKNT1qyThlVG0QDAoG1HA/Aju9bdUeJNFhZxtDjjWBSKRbJkiw4GaiRMd9fhFj2SKTjeOtixlNL5rK/rUij5cTTJSDCOxo6NsONfylmczOLEwSwzm52kDYkDAOo1b6olDz/uNSonhkY9d0TK1qFG1+vLigi1NbeX+8a2goM1q6U/LJ7I7q22/qn0pd3/AP59VMgirsqihgG5J7T+tr60843FNEVC/n5uEUZ2r2X3sZGwfw/5bavcRNbHgyfFtmyo0722bTe7T7T2ldzgNgX8+zBb70ze8darUknbly/57bL9ojJSqnzftM8U7DW7H84VgBa9H7T+mt4R/PvXzNsT5ZeNjkW0ahAAP7JpYEImqtFIrmLJ8eZjcUe2LOvj+iqJ57PlA360n3fvHQLSWd2mIT+CCgDmtssMU7o9160vePfMMzV2yu517XORdM7xPiew/cjijyx6ac4bE711tpi38ucAef+x/dqPzwqubyrr4INlGPO8MHZuAjpHmlV+xrDtniM7fZZgcVF1Ce3jsn3JtoWds+04CpftHrM09tqLMdP93CL62vOOF7EVqfiz6hrdRomo6y2rPReMykrpPvBxUx7INWsD4tpIOdFE43IfnM9JPFBNPIEGXf63KdvRdNq8fs5RPcyPbwrpzpf6FrU1SbS+/zBjeXrAPpv96u3j+l1k0zpb38N9A6yQICIiIiIiIiIiIiKi5YD/Q4KIiIiIiIiIiIiIVhj8HxL9FyObKlhZ0CZ7nI05rTmktPSyRsvyrIwuoiWcgViZlcxeB4/0ooastM1KHa3E7iuNYPpOQ9Er6bU+aOqQXwZq+WLIAQpaNtyk5ZmVlfmJsItU3iKbNPJHI3piWlqdKzqojVuskExn5adWQpkrArGKSCUbx0pDrSS0PIrJSgutBDce9dfbSi8ry8vt+UzeLw+0g8Yep7Ufu4pa+rFGNjkV552SCxQqSnutPa3at47TuXzbyiE/XIzyTYsUSMb8WKnKsv7uSjGXlJV5WonnsO1OR5Nua4vXwrsTZbjF6fqEg6jWGOffvhEAEN16DACgtqy8uNFKlPXxF68tx7Jys/FwGUaqAQCJaAyZjJSVJxJSVm77XOM2owEATQUHePfGXm6XxihZDFY5i9OoWVuG7d/I8Iunup9feQTHRsfK7/+7v+ftXFFs+msZfnR337aDiKif+cFuo1AVC8bkWNzRAYf712IZvR4pVVx7VmtywvN/uhW/ONqPjgCAxx6Qa4ufHSTzScSApx4JXs9YjEh5nKb9btdbFpFZHtfSnY12lgiOyiihcpVRL9mC412fWSyRXa9abEtX8VBLY2GRUkvjh3uM9G74bTtaXMrCIqEq41vsOrpQlKgUAMhqTIdFZ1mcacjxp3vteXmtcr222WOktx3tmv8/fw22Z8e9R6JK9x/bn1KZ4IX3BwsiqNJtUKsRHt8ZUAws2+4ZMnnHi1Qyc/X+IhHufA/oXfe9NRGLYpFBxnFcLz6mu2gxs80eI737Cetni0Cxe5J80UFO93eLw7J+s76OR1zvWHD06tqu3xeHxdNYfFT579aOyngaABj6I7n+79D7sRZvem3Yu52nGbbd6YG2z8r4d5dDErJjDE4WA8tuzTpebJYdowmNXWnWeyxb3x/uMdKLLjKVsT4l1/GimVozwfUMl00a0X3D2prOWVyuPI5H3E6RT47ek1obQiHXe83GtfvExmqNrtHkmGjYX5btFzkv+kdeqI53jmQuuejE1sfmUxmz1hW7xy2fnUWntWl0UZP2QaOeU77W12siwIYNxUBbu4pasnXP5oPxV9bORNT/3c4z9v5j56+GaiCnr9nxktdjY3a7tHO2tvd7NQXUxIPvY5XtyuT9dfaW5UWwaVsKDj5fxP2qnesAfz0r5YsOWnSfsxgu+2zAYu3s8Xd3Os3b16o19uq/izinlCuPPwxXRCNV7heFon9MVL7P2rh2aOSL/mccpq3i/JyMut501hdNaVl4To+NWMhFU1b3q6ye6Isam+RoQ0MxPz4pkpRh5b34xsOBkk5v8eyu5WgXg4+zLeikMqZywyOASJVOp3vGx/f4UfCM5Vlq1odf/vdX/S6y6Ts//D33DTCyiYiIiIiIiIiIiIiIlgN+IUFERERERERERERERL2OkU0VvNKq7ccgXgIatNztq45wYLywdtvQuN99X1q+0wfLpnR6RWCly/VVQFrLQ63Ms7KEr7w025RHDwFASyaEgpVh6nNfvy4lzz/cwy/ftmo3KwGsjEoqVJSelrMyPytzDTl+u2q1cm9wvTxRXys1mLPm51GblOfy2sBEXB7/9o6JAIBfHDMKVfpca7sspK1DxrXyz2LJX6+Elibaa1ZCWb4OjTXy+6xmGVo5o63vK8/euliRAYuy7Z4jvf6oLL2tLPdcUuvuKO2z0mgz9EenY35BFrq6Ri7FtPzTSlg32vk0b72crSSqaf2qYmAcwC/XNla6aYecRSUtlEURVQ8DHPv3OZYJlgEA1CQlein134XMb/NTZBiOAUUp54xGZcPldedzdIdzc+1ArlnG/+xRGVr0U2yADAtaalrsAApaimjlo5n5Mowk/HnYeiQHyXDy77tv64ZHyDCf7n4cU1l+uqxYexMD/PLYnJYm2omhqwip8ugoWqHZ8TkwKft/JARkNDKgJ+ctIlpB/UAjZ97v/rqhPIoCkOtIQE77sUjw2rCoF5Y1eh2WybnI5S1aU0Z6/EFZlkU/hUOON51FQNn1ll3vZHL+NVd5dIQsU55Z0rjKPTUyqikljy0OY59D5Pnn/+RfY233s2Bkp0WpJKIuOnLB+JFFRfUsCxaTZJFGdr1aHn9k8UsWUfLKs8F2bb/XSG8668u4RTSVgvN1HP961uI5bH1t/sWSv21M5Y1ppOzeojJqxuYD+PcO1t9Rfe3Lef4M7LVGjZu16S3qJVuwiB3X20cy2l8WzdOm2y4ZcZco5sjuc/z2ynzSeQezNZqkMvKpcpu9+eKt3V63WxRUNOx3ksULVbZzgx+fhqRGGFk8zcKiv2yZKV33xYlOtfWd0y43QHa/15U1t/djmWwbV2v76rV97RrZ05J1UKOvteal37K6761dYxFAEo8E+OcDY/uJPV8eoWvHYWWsVjTsevu1tc+ijC0WqyFZQkafs3vRvO5D9Ql5Il/0o3AqY4Rt34xHgFTWP1cA/jFi49j9cVuH441jx58dj7YXlEr+fbDNx9JubNx41B/H7vfT2gab7weTbul0T2rneWtXyPHPC3NSMsN5GrHTkreVkEFjBKjTtg+tLXr9A/j7cCzi96VbceyXf+ZQGRVk99wW4+Y4/nkpJbd8XuzVrJSMnClalJSLjM5viJ4nLMKuPJqoMjLNtr1tD9f19w071mxdrJ1vvnir9z4RCX7UhHbt/9qE6/1uLJKtMr55811H4YNJfhQZ4L9H/WTfkd58K8/D1jcWQd1Q5Uc9W192FftVGW9t87Fjq3y7VE4frVhft+zYn637TlTnU10WBWlxi9/ZQc4ZX+p5pV5j81rSrf59fkk3TkWscc0PR6Ndj7/V9bM+u4f5sNmyu+VeNRqvRb59jjz3yQMyXP8AGdr963r7A1VDdWX9HbO2OoHWf9/IWJ4esM9mp/33V3CL/SiyKZzEuoxsAsAKCSIiIiIiIiIiIiIiWg74hQQREREREREREREREfU6RjZVsLKgYbuMx8ymFqCo9XwWnWLxIV4MyUCJWgEAx/KFqmX40V3Lp9F9ZHst667TGKRiyY8cKhT95wC/1Ljk+qXXVi5ao2k0Vi6djPllmPZceUk2IGWE9pqV9Q3UssoB2v3VWqY5pDGCgsYwNadkHCv7TMalXO/Be2/GL46R8txB9ZHAOHfcfiMAYMSvT0c2Z/EAMpy5QOOddL3DIf+AKlaUrlvpo5UxJqJ+aWJl+bytf3n5ohVr/vP5ziXVexxoEQby+IUnVp7YsC13l35/tyI2YeOd5flCyfFKNa1EdfIrMu7QH0m5ZnPB6T62aePjZKjlms5WY7CexkJZGXEy5JeCAsDMXAjuOzd2OTsrK28rOGjJaN3vh3cAAIb8aDQAYM4b2paNhwMf39t1u7aQcZFrkWFmvn9+2ehYGdr5J6IHWVfzslimTx/u/JqVlNr0XY1Dy05lCW9PbHhEv9heG/xYyvs/+yejm4hWaPa+Y3ED3b13lbFYE4tQKLe3RhjZ9WBt0qJMXC+GyVReLz32gD8/uzaz66982fXli08Gr3UOPlLH1bin5x6/tdtrjJ7a7xfB+J1nH/Pbsu+h8lqrpiVWxkb983k/pqM8Lmlp21AqBaOiumPxKnZdaXEt3nVpzI+/sjgTixaxuM/t9xrZKRLGtnFlpGtdFdCmt0iVcSuRshgQu4a263q7l7Br4Y6sf89QGQ1SHhtrkSmtWScwTqvGDK03oIjXX1j+18eVUU3G4mkiIYltKlcZd2j7S6HkRz1VRv2UR3BZPEvlPYT1I+BvE4spspjeN19csj6yttmybOhF5Oj2aM2FOsX1Loxd489646bAcv4zO4L1a/SeT2NWYuHgssv7qTIiyVgsUDjkT1d5LrLnXbdz9JM/jR8zZM9Z9Jf1se23juN628Lml9b90yKmyqPOKmOByiPF7HWbX3lEUzm3bH1s/eweOaztyuX99ixo11hcbVetRmaVn+dtW9g9vJ0D2rNAU4fMqEPbOldjteK6v8a0LXVRF43JYGNj2gfWX5Fw5/27PGrLHtv4FqVnEXEWtVQs+dPZuBZFZX0yVaN68i7Q0qEn71AMALBhg0wc0X2pOuaWbVMZ2jaaovNpLTqd7iXtXGDnPAf+ff1W+l4VCgVjut56qfP72Oa7jtL2WD/JNOWRbrWJYEyUac86qE9qrJQ+Z/uMPY50cUyUKvZlIBiPXd4X9j5t6xAJB9+7y1/zzlGOvx8V9Jhq03NHSs+PszryGJqUzrNjvlYjl0quH7E3MyMNW7vKXgu2N+y4aKz2o7UA//3DHn/crFFemVY0Vkmkc0L7eUbacrrmaafUIJqol3XPy2uJaAS11XHMefUqxvL0ACOb+j9WSBARERERERERERERUa+LLHoUIiIiIiIiIiIiIqLlw4UDv76sP+hP69IzjGyqYGVB3ZbPWPyLRTglBgAhrbtLz/GfA+AVoGhUDAB8ZwcpP7Xqua+1rLFeSxRbCg7wbtdRMSsaiwkyxRKQ11LgyvJ0KxEeWOuXiMe1ZjOdkbFTmn4TKSsFrCwxNYWiX/q31mAZKZe3cV2dj6Pjul40U1GniVXEBRSKLh65X8ogDzpCSh2t7HD1QbJ984US2juCDbFxZjXJ89m8X7LplWNWlDFaKWD5elqJfCgUnDaT99fdynat5fZ8vigxV4AfC2XLsvlEwsBLfw6WYFvpvvnXX27Frj8f6c0TAF7rIh6qL1jsi5Xd57SUc7CW+sbDLj6Y1E0cg0YjDdI+qom4mKUloA163BW0zDOl610VApq01DihpbMWCbXujtKWudkQUl6EgIybt5rQdycu/sotq5ifTX7l/+7qimQWyNCioLpSGfm0LGOHVlZbjpFhQUtDM/OAoh5cC+tL8tl+FNZcgM8e7bu2ENGS0/PgBjXFRUauWdTL2oP8ayt7O7Trrwf+IPM45KhR3nXM4w8G37eP/OVpOq3rRTdEKqJY8hrH9OdHOkckPfd48Jpln0NGetczlddAXdlHY6YWJ/5oRbD7/tLegXWOd21pcVcHHi6v2bVweV/vf5i8ZteKYb3YzuTcThEx1v92zfmXP93qXf+XR3eUz8+u3duzwN+flr60a87K2JtiqSyGqSKmpj3jj1dXJUNbzxZNVLG4m/kdoU4xQEsTQWRRR4C/zy3JtbAt02KKqmMucsVgzI5FCVlMUyTketErFiNjUaUW62SxQ9VxP+bVto09tlitHfYa2W001U776H4RKouwqehv247/eK779S6PlymPlim3836yLIviyhcdtGSsL+Q526/sHGNRNACQ1XWvi8tIubKIK+sPizBKRoPxVeV3eXYOsPW1PrV4oEKx8z5ofWrTRELBuKvy18rjyGybtGedinFlpHTOj6GtjMqy+RRLDor6e008GLtjQ69d4c5xaP/6ix+vBsjxaOPb9Ba1ZMd5OOTHq1k/V8Z9Dah28eqzwW28gy7Djtliye/D8vMAAMxok85ps20WclHSua9dJ50br/hT2VgEaKiWcVrSwTgn29bZvL8Pz28LHmu23tlC51gvO3fMaA8Hnq+Juvi6XTpqSEJeq47ofb72zYBEyVs/iz+yx7WaktvW4d+XVx4bZuf9RiKlx4RFLGXKIqzt8b8rjmc7/vK6PRO6L9dXdR2XXd4Xruvvp+ls8LVylef+Km2PHQeFoj9vY/FljsZz2Xmt5AId+WCUXqjiWM2X/H3PzoMWyWbH+SetEeS9DCnpqGFV8mFH0iLP0Pm9qS3nbzdAjitv3yg7BgDg7XkyvzD8+3+L2vqyxY/1AvzI51ltrUBJNna0eoiMk56H2uoEWt+6i7E8PWCfzU797/H9LrJpvR/+jvsGGNlERERERERERERERETLAb+QICIiIiIiIiIiIiKiXsfIpgqLimxytpISdvedLmKVNjhMholBAIBoVKIq8iV4MUxrbi+RTd/++6ZOky9LW/90FBqqZNNaOZ2Vxlnpasn1y5D3PChYLmql7fZ8yPFL2qyM3sojbZpkDIhrFFK+GNytysvhrKwzXhGblM5aKbNfqmcRS8bKGGMRYFBdsNavUFHCbGXquYKLuS1W+iyvDayV4YKUP+8h9TL+t/Nl3DotuUzGbeh4UQGhkB8HVT6fTB4olILlosbik2w75ApAXJ+zPrT1Lu+ZaFkZLODHYtl2rYr743pVjBURVzVJKbNfUlv/VEpC3/5b5zikpSmF76lNdpH2TH5F2rPhTyTe4dN/LDxOAvBjn7qMntBoikFR/5iJWRnmG3KsJrYeDQCo0+2xoOB45ZzGYp0sJgrZ+UBR62EtsmbzU2T4we2LbPNi2fTXMrR4oVDMj4nbeLg2TKObnLI9y6J0ChU1+hbVtN7+q2480fcOlWFyqAw/6GIft0gii+xzQv62XpXjrsz3j5ThJw/1bTto2Vhvfxku7JzwA43aKLQDANZtqAEATPvXos/P1PeG/Gg0AGDOGxMBANv9TN7j//PXW70Ym+4iXPb7hR/Hk4gFr+3qquWizK6b7rx96WJJDz1K4zT1T6nCIf9ax96JH/ujXBss6+gliz8qj4la1iwu1K6fLQoyFAL+9GA3kZTqsGNGeW/hFj9a/hog1+5PPCSvHfFLeS7VEYzVCIUc75ozGZcnLarUri+feOgWb3snosE4qJ8eIM+vNUS3ueMgrxe29/2+6/PA4ceOQjZncTsyv7hGg1ika0fOj5Ox6A67xrbHNXHXu/6vjJXpiq2DXVOHKv5Er1Ty41YsOsWUx5xYv/yzItbJIj4aa/x7IJtfoWixJjaf8vgQefKdl6VP7Tgsj6mpjMayewi7x7HIHsCPyrK+aaiWYSziIJsPRty26f5QV6UROe2ud4/x9KPB9bP99cmHb8EuGs1UHiULyLkD8O8lomHXu3epvHfYeGcZpyrmdopzsvsnu//MF/1j3saNVdyTduS6jqEpn8bmUSgCuYIdb8H4HdtW77x8ixeBZMeLRf5YPI21s1yuIuYp5Pjbwl9GxTRFP17I9u9wRbusvUUXiIWDy7f71laNNRtYC6y3huzEEe2UVFoa1qJZtS6AptZgZFD55wWA3BdbBJux9wYvVtjxI5it/60PmjWmOqLr8vGcZsCRCaPJBgDApg0FXRf//qqqLLpI1kGGtq1d199X7DU71hYWA23RXSHdfl80S1uaOtIYWi0fAszK2AcSetB/dJcMfzAKmzXKr148YTR4TopHXC+erSoWjN6yaSzGqHx668vyz1ssBmrmguD7q92fWxRbyPHj7ea0BNfb+3wkFIzSLm+XRUgXS/5z9llFZYwZ0DnuKJMP9mmTbvOOgoMqjVSq1RiyZotvs+Op4GB2Th4M0HHT2geN2n/VUdfbL20PsePRjoOZ7WE0xKTxjVUyrIxwCjlAh7a9US5VvfeYj+fLBhikUXGNyZIXRdWu62efO9h5qykT8uKf63XZX7SHUFsdR+s/r2IsTw/YZ7NfvPXrfhfZtP42d3PfACskiIiIiIiIiIiIiIhoOeAXEkRERERERERERERE1OsY2VRhUZFNi2WjY2VokSilIhDRWruS1rtZyd9yZGWVpuQCHTm/rBAoj1OSoZUwO/DjhKw0zsohrUxvYJ3jlSC2a9mvxTJFrPywABRLwZLQdi3tLC+1tnJyR8OLHrovWOp98JGjvLJyiwP47R0TAQBnnHEWAKC1Xfo6V3C9knMrT/dKJXUdQo5f+mnrbmWI1Ql/uTadlVGGgpWTSGf9/rBhZcmrlfhGQuhUdhjzSrKtZN/v75mtIe85AJirZZAhB0homeJa9TLDprS8ltDtWih1Lu2u1pLJf7+w+BEEVpadK/hlpu++vPAogd7w3Z0kfunz13ovCmTojyRebUBC91c9dItakhl2XMzMSD9v3CD9ntJtO1ufHxB18eXr3cSzWQSK1d5HksCnDy983KWNULL4nLzWb3/xVOd5fv9oGX7ygAwtksjGXxVYxFW2WYYWxzTl8e6nKe+nkOWr6cljVY28opXaJruM8mLxhm0n58EZ86fLiyXdtxd2Ttj0BADAuvXy5snIphWcRgxuM1je5N56Sa4JfqwREJVRNIAfn2QRL9UJP4LG4oUOP3ZUYJrKKKEl9cvjZV/M5eV6rlDwo4KMXTs+fJ///CHa1kXFHvUVi1Sy60C3InJzYEOk25grb9qyO7m4RmbZ5WlNlVw0tqWLiEY05sXiObLBhT36x1twzHFyfWURW60a6WJxVSN+fTr+cLdc1wzXbdKh87Hon5I2KJcHwnrNahFU81pLgTbHIkCV7j8WubWDRuPYNXI8Ckxtkhmtrde5FrNRHv+aKwTvPSyiqpztDzmNK0rGZVyLL7Jps3kXMe2vdo2OsvsCiy4ZUOPfDzRpdKtd+ztl19x2b2XT2f1AtCx6xu6xbH6Vx2G5UMV92MKiU3+m0bu1SafT+npRT9pvto331sizQtGfzvryhJNHAwAWtElDZy9wu42dfV3vLyzKK1/09z1j01rUS3ncrd23WASO3RuVSo4XYWR9WxnjUyz593P2mkVt2Tj2fDjkRxFtvqsfHQX483j1WT+6zratrWepbH7W5sp7ZNv2oS4it2x7WgSd43SO8i0/XgDZ9wCgriqE+pqItsMNzKcqISuYTETQrvk0dsxb5LCdT8uXcf898p59rJ4L7PGOe4/sNhZtjwP92D5bV+tTix2zdfm2VWaSKzlo0uOuRo+1DeqD+VWhkIu4rrP1s8UXZcr62GKiavSe3fYzixm0cwpQFisUCkYs2T3coKqSt43m6/30gqwMm/QcUBMB9JSGVo1+Wq9K2j5Px42H/PvzlC7T1neTBmlgVdSPmpubkunq4rZvW5Sdvz4WH1cZNWf7Usn1PzcoVBxr5VFQ9tlG5X5lsUXly8xWRGXZssJln2PEK85x9vxsXadYuPNnJjbOarWyoG9awl6b49pv9rnI6nV+dKC1y8b9dIEsvFqn2XBw0dsfLDLKrDtQJmpOA9X6MZ3ty7afWjtbNFKqIekGYvDKWWRTNAx82SaNtbfVzNsTl83niqs4Rjb1f5G+bgARERERERERERERkcd1vP/J0h84/WhdeoqRTURERERERERERERE1OsY2VSh10qrLDLlk4eW3TwX0zZ7SAmalf8urYOPlLK0pjbZZdJaKlmnpZMN1Y5X4mh1rFZ+bSXgpRKQ1zJR2/Os3LChVgp2FrQWUJOUJyNawllfIzWzmZzU90XCIW9ZUa0htHLUsNbaVSVlfu3pghcTlYzLuC2pvC5L5teedb0SQCu7tpLH8tLqcMVzg2plaGWH7RmgTUv87LlBtTJyVdwfBwDaMlJ2DACz2jXiJyGN+Col7Yw5fjtC2mFWStik5Z+ZnM4QwDCtP5zR2ipPWCfF6jE0JvOuicp87MBvyckC1qkrejFOVuJaaff9ZV96+elbse2e8vvCSsW7s9Xusi+90wdxT0tr0LajA4/nvTnRK9VstvJcLRfNavlufdzF/16VUmcrA59jcVpahtpqZbxvTVy6hm05RobvdhHpYBFElgHh6M708b1l4xwnw2yTjms7fBUQtrro+Tp9Re6XWVg00YZHyDCfBuL18nsxGxzns0e7n74nNjzCj8GyaKVVJX6KaDFtr1EG/56hT3zQs2sFT0+j5miZ2/qn8j709t8W/d5b/n5vjh4h13IW8WLvBJGQRQG5XizQkEbJlrjxhut63nAAEy4cDwD4aoaU7FtsEOBHSFlc0QN/8GPCDjpCXnvy4YWv84GHj0RYMzgs3snma+vZG7FPp48+EwCQzshFo8WPWhzTkAFRVFfJNXBW8zC+niUX4Bah8egf/XbZtfo6q8v1YFQvInP5IprbZPq6ark+vvmm6wNtOfzYUZ2itUaPkfZNvFHG/eWvTsOAOmnPgla5lrZ4p1RarjW8S8+o4+0P9tq8Vo1o0cuLZMzx7hksVtUtu+6W9oa8GJpMTl70o3AsNiyEtGZlPKXRQ7/QPuzIyjjPPtb53HbkL4P7tEXM5vL+sizmyKKb7H7BcYCUJkhYPNGOewfjplwXKOlfQoY0cihXtMcyTrbgRwQlKmJjbRuXx6vu+nM/PhVApziRPQ/y42nqqzQmVvdtW894zPHujYplbQX8bfTKs537y/ZLG6dY8uOJLPbFbgWt7eX9ZdvUoqkiFY+9+8iy3209bdqS629/i2aJVWQ+xCKd+9BibiyGyebhurINAH+b2DSmUPSns/WxfdLmEwmXxTlZdFO283rZuhq7p7T7x+q4662rRfRYH9iy1hsW0fk63nPJhDzX0iYrbnFM0UgIjfXS+A49z0SjMtE3s6SBNVX+fXVru0xn+7v1cSLqL7+hRkZeWBTfzvsF91OLE56uw1hZ5HBGj4k6vUcdkJQ2ZAoOZuj49fpaQ1zjjmJ+DHOhGPxrY/uoobpsnHaNZLKIJhvH4o0bkq7XXjtGWzSCd1C19JtFCGXyjve+MFvv4YdWB89/tl0BQD++QEHv+y12uang4Ls676Sunw0tBimT9z9DMBZN9dzjcozaMR8pi6+yc5AdG/Z5TVsHkNT5eZ8xWMyTTlMs+cdP5f6aymp0ccjF0AZ5boF+dlIZZzZtgX8gfav793e0nyMamdWcs/tiFwN1u1u7LC45bZFuIX+b2vZsrCoF1jMZA75p0vtwXZa1x/oknXe8+ViE1weTlv37OyObes6LbHrzNyj1o8imUDiJ9bf9LfcNsEKCiIiIiIiIiIiIiGiFMX78eLz55ptobW3F7Nmz8eSTT2KDDTboNN6ECRMwffp0pNNpTJo0CRtvvHHg9Vgshptvvhlz585FKpXCU089hTXWWGN5rUaX+IUEEREREREREREREa0wXBdw9f9I9I+fJVv/nXfeGbfddhu222477LHHHohEInjxxRdRVVXljTNu3DicccYZGDlyJLbZZhvMmjULL730EmpqarxxJk6ciIMOOghHHHEEdtppJ9TU1ODZZ59FKNR3XwswsqkCS6u6Z+WAoYpSRCsntZJmAJivpbxW8lqnJcPRiOOVC5uapIyUzviljjZOS1pLuxPB8ubHH7zFK6UP6zKGNEo56pymvDcfAGioiXi/JzUnx9EnElp72dae90qX57fI9J/P1DJwLWusjvvli1a2G9XywKiWQpdcv40duWBpd1rLdu0EVCh1Llk2VqbZ0uEgoaWbzVreWaooMV2QCSGsZeAdWoY6q8PqK3XhoShQksZvUB+sa7Yy2VjIRYOWSq67mjxX0FLJrqIOrGR80jNSLrrHgfL4pT/7Jd5dRT70tk12kf1i8iu9Hwe1wY9PCzxu0uimiJXllxzYlmipiGSyaYfUSp+/9vytiG4t8Uv5t7uIX1pZbXSsDEt5Pz7JYpzscbnvHSrDKY/3ftuWhEU+GYt+YhQUEa0kfrKvvCdbLOPmu47yYgr2Olhee+GJzu/XFtVk10nhsogmAEjE5L1v8ICYN821117bo7ZOvFYimizy5Jzzr+rR/CodcLisr8X7AH4cTXkEUrmDjxyFJx5a+msLixCC618z3/f7m7sc96yzxgIASq6LkGNxO3K9YNFSFslSKrleNJP3Wk5eq9XI03y+hELRj3Apn5/FMY06/QzcctMNgXacdrpENtm0+YLrbX+LmbI4IIt6sevyaMRBLq+RGXbvYHE3ei07ZEAEWW3r13NkfuuuLteptVUyLJZc3DTRj4wqn6Fbloti8VBOeT4OgJReE2dyrre9bT52jW79lu6QJ+IxP4Y2o5FPbRop9dcn/X2m8rj56QHyOKP3C20ZB+//XfaZLTWu1KJm7H6hUAreGwB+dNNrzy/59fPPfzESVYmuo5qqNRK3VAIy2u82jh3PaY3qiUcdPPZAcH8/RO+9EjH/vqxFt7vd59jnGrZ+GY10ioT99fTu0ao1DivrR3HZ1rPtuSAV7C8XwfgmaTt0Pf222r2VDb3+togq+NPYfV2+Ir7KpgmH/PWyZVjsjd0bxiJ+fJXdO1bpcW77jsQLBZdh29wUS/72D1dE6ryo+97xJ4wGANTXRjBQ45hsfdo77H7a7r39vmwv278BoEO3dVNL1ttHZswvBvrp73oPd8rIMfh2TjAeOZsP3u8//Wj3+6sdG9ZH5R/IWf8bi3ly3S5isDSq56tWWWjEcb0opUF6H2sRxHYcSptlmC/aeULGsWlt2+eKDqJhi2/S48iL5dJpyiLBbFs1d8i4H7XIeSvuuNiooajz1DZYnJ3ew89oC3txv9aOmD62+/xwyN8PjcUT2b5jkU5tHf6xMLjO+kuGdszEIv5xY8em7V/lUWg2H9sPbBn2+JuWsBe5NVDjqiqPG4t3smhjAJ2msSivmpjrxdrZ/tTSYdtKHrfnQrCPkYZoVFMoZFF/MtKAatfbf6wdtm2tD+amHC+iy9r8+gvBfXf9neQ9ojFZ8uKh/tcmHe++s3j36fxcseesDz9/4zcoFTOLnmAlEQon8N0fLX1k06BBgzB37lz85Cc/wT//+U8AwIwZMzBx4kRcc801AKQaYvbs2Tj77LNx1113oa6uDnPnzsWxxx6LRx+VuOzVV18d33zzDfbZZx+8+OKLy24FlwArJIiIiIiIiIiIiIiIelltbW3gJxaLLXoiAPX18n85m5rkf4Cuu+66WH311QNfKuRyObz66qvYYYcdAABbb701YrFYYJyZM2fio48+8sbpC/xCgoiIiIiIiIiIiIiol02fPh2tra3ezznnnLNY091www345z//icmTJwMAhg4dCgCYPXt2YLzZs2d7rw0dOhTZbBbNzc3djtMXGNlUgaVV3fv5L6TU0srgBtZZhJDGBWX9snKLMrKdy0q0Q45fdpfOBiONrIwuHnW8UuD777k5sGx7PpVxkeqQ8a1k1kpobX6fzJNGzHljYrfrtMt+Mt9XnvXL9E48RWJzWlIyw5SW2Wbz/jKqEzK0skVbZl2V4617UV8LVZTbOlqMXCi5iISCpYhW2v74g36J9E77SBuH1GsslNZZzm7xlz0/HYxzSkaCh3U4BHw43+qa0wCAxiqp5Uxr2zMlB1s1ygq+87Is3/rdogWsNDcWcZDRSKpnHguWOO57qEzz3OP+87tpdNPfl2N0U2/b4MenIVe0Ut5gObn5Oh1ClW73Oo3essrsmE7z+WtdxzUsrSE/Gu3v8xaX9L/7l+kylsr6B/SvWCNGNRHRSsKiYt59ufu4oWOPk3gCu+7qisUIRaMaD6RvehbRc/ElPYtVuvZKiWnK5R2cd+GVCx337LPH4eqrrwk8N+aMswAAIW3X9dddi5P0mu6O27uOWDhQo5uikc7xNL3lzLPGoqBZG/UaqWTRG3YZUSjqtXXGz6Cx2FGLWipodkVVMoKsZoLY9Bl9PKhBLpJLrh/bk9f8iojmkNi0JdeFq+2IaQyXLcMimwCgrkb+gi+n07Wl9XpZLygHNsiFcMhxvGvW+S0yzkP3yf51xpmyrXL5kncN3NIm4wwbktRlW0xUCe0au2Tj/vaOiV5fAkBrKo8q7Z9UWsb93V0yTlfXpYcfO8prY3m7eoNdx3vbRqNe3nqpZ9fE+xwi833+T8H5/PL403Hf727qcpqjhstxXij60Vt2PW/xrAcdMSrwuHLeANCRsfgv/8K3MlpnxnyNVCm7NvailfQeqSYRnH/J9eNovIimik8q4lHHOz5sfrbMVrnFQaEEDK7z7xkDy6iYJhrx7+8G1Qejrtr1HjAZd7y4K6eiXXYMt6UL3v5u90t11bJPfv6tZOPkC/6xHvWizSr6puAvw/pgSIMs29owdFDCa5ex6BqLP7LzcrEIjBkXPDefc87Zgb6IRhyk0nldpsbstMnjiG7jYtG/l7Xjr9Lhx47CI/cv+Xn05FPlPG3rbX3Rmip662HsPGPHUTbv708WI53SZJd4WbSRjW99Wqv73tw2jX/T+ZdcP1rJ2mMxSoWSvueFXC+qqS3j6LJ022vM0wfNEWxaX9DpbX7B+8V80fGip5o02nfzXYPRbumc0ymirK4ibsjamc3727+xRp60+LasHudzWlxvfvYZikU3WbyT4/jxTa0am9Sq8UsDNSqpPErK2pHJyxNNFjMNXU7ERYtOn7DPeyySSvskW3QwQCO3itrPSb13rpW3BDSlyqLWisGb7vIoPPucxiK/c/o+ZrFyLWnH++zElml9a8dnfUKeeP2FW7Hj3nKuba3Y1ua/3ZzL+bliz1kffvaf/hfZtMF2v8Uaa6wR2Dey2SxyudxCp7311lux7777YqeddsL06dMBANtvvz1ef/11rL766pg1a5Y37l133YW11loLe++9N4488kjcc889SCSCb7wvvvgivvjiC5x88snLcA0XHyskiIiIiIiIiIiIiIh6WVtbW+BnUV9G3Hzzzdh///2x6667el9GAPC+hKisdBgyZIhXNTFr1izE43E0NDR0O05f4BcSREREREREREREREQrkFtuuQUHH3wwdtttN3z55ZeB16ZNm4aZM2dijz328J6LRqPYeeed8frrrwMA3n77beRyucA4Q4cOxaabbuqN0xcY2VSBpVVd+/kvRnrlq1bC+8tfSdlvR85KwF2vlDTvlXgjME4s4peCWtlntZbTNdZLjeGC1gLa0qXAfCpjgbpikQRaQY7V6mTaXAH4ulnqA9NaRtmiZX75t7su4QeArXR+75RFHPziGHnO4phMdVlJoJX8JaK2nsFYJiuZfOi+m735PfbHWwLztzLJ8vJYi46yMlYrr0xl/VJQK5VckAmWMYYd/0Bvy8sM52hkFnLNOlISWw2RbdCh/WQlqkPrZViT1HUB0Nwuz/3tqUVvm70OllLHrJbL5sritf7z1yUvWd/15zK/Sc+smBFQg7YdDQCYX3CwVkI22Nevd10+vzw4W0kptPtO9/s7tpRx8O5CxiEiopXeARpTNHRgFHdWRBmdf57EJl12uUR8XHLROYhrbIJdR2T1+mPCxT2LaLrgfFnWpZcF53P5Jecgr5EsF/VwGYtikU1/fmTpricswiabk/f6WMTBagMlB+O6664FAIwfL/EoRb2A68gWMbBBskXs2tqL7tRrxEu0T846a6wXA2MxTFGNWrpp4vUAJKrK5hOPWayTXpvrhXhNVcRbhsW0WExoe0fem29VQjJOLL7FlnGhbqt80fWilOz61uI6rrkmGKEFACNPOwMAvPnaOLafZbJFpDTyydq8xhCJE7CYjVDIQUajq+LxcGCZFmll7VyY884dj45sITB9TOPHLP7r+BNGa1tK3jgt7bK+Tz+65PvIAYePxFO6bx16lFzjl8eydmeHvWS/fP2Fzsu0uKmqhLQ9o9fzdg+WiIXQnpHtXtTjyNbT+ri+JoLWdumLhlrZNjPnyYFt+0c4DDx8X9dttTbk8kBDrcw7nbGIpuB9nikUXaQ1PsnulayPy2OLYhoRFI9a5Iy1veSNYzFTdv9Vr+vgRQSHgNnzZR9ur1imjbP2ajJNXU0U2az0V3VVVNc9GHdTLLroyNoxpcex7ntJ3bcBePtybZU819qe1/nIfjvxxkXvp2eceZbXhxaLPKBO2hUJ+/fTANDW4ccU2X1hyetTjQguul5cmMWiOXrsDhkg7ZrXXERa95l5zRrVFLaoYJm2UHJR0Ps3OzYtBs0il5KJsNd22ybWZtsei9MHXbn8EslWb2qVRlyv59dyh+l9tL1XWXvDIT+6y+K5LNqoPWvrJMMP50VQpffVa9RIn1g0kX3GMLTeRYvGgw2qlaHdn3v32x1As0YXJTTix6J+vCioiD+dfWbSkpFpauN+TF6kIv655L/krR8A1FfDi7S252w9Lfa6ud31pi+WHS/lQo4fe5Wxz06yGtWoEUtVURftOY3205VeXfsrpc9PS8lwSLzzx40WXbx2ozQiVyiLYNNxOvLBiKR41I9vatP1tO1m2+iblrAXXT20Tma4oF1erNZ21CSAGc36WZB9JlQKzidfsogpF5/peuDdiQCANbeX9/1vU7rzhBPAexM7rSM/V+y5/h7ZtLj7xm233YajjjoKBxxwAD799FPv+ZaWFmQy0i/jxo3DOeecg+OOOw5TpkzBueeei1122QUbbrghUqkUAOD222/HfvvthxEjRqCpqQnXXXcdBg4ciK233hqlyhPLchJZ9ChERERERERERERERLQ8nHLKKQCAV199NfD8iBEjcO+99wKQP/hIJpO4/fbbMWDAALzxxhvYc889vS8jAGDMmDEoFAp49NFHkUwm8fLLL2PEiBF99mUEwC8kiIiIiIiIiIiIiGgF4roOXNdZ9IgriSVdF8dZvPEvvvhiXHzxxd2+ns1mcdppp+G0005bouX3JkY2VVhVS6v2OURKg608r75KhjVa/us4wIP33gzAjxWKhILlpB1Z1ytBtJI7K4sc3CDzScZDXkmvlb5aSa6ru2Jru4vn/7T4ZdGHaAm0RRrZDp3WKrpYxC8JtjK8pFTTe89n80B9taO/u4FxrUT7pweM9OKJ9j10ZKDtVjJcKItYsnJfK5cuVZRFhsOOV5J47+8kzue0088EALR3FLWdIcxukhLXto7goWolig6AbCH4XI1Uu6MlrWXTjouilh42afmofQ/6dYvu524RmwypAwBMbpFa1XWrZKzVa3XYKPOIhP2S4Mq4KXt84OEjO0Ug7PcL6bdnH+vcp5V231/Gffnpvo1l2mQXWa/Jr3RfYv/dneSkblvoi9duXqZtqN9mNACg5a2JSzeDLaS0FO/1XWzUKmXDI2SY13ruqU/3XVuIqF/bW6/f7LqrQ699IuHOsYY/PUDGtWiI+mp4cTKVrrxMInXOOf8qXHKRRGVceNGVPW7v1ZePx4I2uy6SocX4nHeuLPPyK3o3pmlZOmq4vP9bFM5jD9yCEb8+PfDcA3+Qa4LRY+Qar646itpqmX5es8Zf6HVke4dsyIJu0EQ8giu0PyZcqLFJeq1n0UnpTAE1GjXjuhaZqtfmGitTKvmxPbXVMm51MnjdWz7vrGaTVMainH32OCTiGt2hF8q2X1TuJ5dcdE63+8yYM84CANx4w3UYdbrEOmWysj4NtVFtp/93cwXtS0evoWfMkRuW1QfLBW8yDrRrhIfFjXXFYsLs+lu70FvfuU1yAN33+2V7HbcsHXykXJc+8ZBclx75S9kH7R6srjrsxe9YtI5t+6RuOwdAUY+/lMbkNrWVdHqZUTTsePcsf7yn6/447fQzkdWsk5jdz2mffjlLMoQsrjUaBjL6u90TRTQap6rsvsyiZXJe7JhOXxZTlNAYmtoqu8+RYVjnN6AugmRcJrD1TGrcV3NbTpct09RURf3IGj0UKqNsMtmiF201XyONcrreEY1GaqiLeuvVpnFY81tkXLufLpbQKSav0vnnjS/bln6/AECh2Ple1aKZYhatp+Nmco63/nasLrD2VNu65HTaEFpThcB6WSSbrXe+UEJKz0+rD5LjzvqyNSX7WyQMrLtmlf7u6DpIg96aLNfEm363StvleOepymi+E04eDQBIxMKo1/OBHbPxmH1uoP11YedzzDnnSExem0ZmtbYXvXPInObgXwJb/JXtm5O+jWLjOo3e0ogfixf+zg5ybl+9ruhvE4tq0g8Y3/6bf7+4497yntuUDmYiNSRlomgYyOv7se3TNt9cWbSUxXLZ/mix0Jm8RXjZvhzy3kMsssmmmdXkeo87NN7LxrFIKDseW9J+dNQGQzX2SP/IOpXVzz5irhepFNVYLpuf9emrz0q/7bTPSLz2/MLv57fdc6QXcbVGgyzTzh31ehwUiv7nO/bZR1r3c4ubLroOUtqu+lhwW1uUU33S9WKuLZLK1qUqKtM0a0TV3HwI+Wy7zOCju7pfgS6ij1fVzxWXJevDT/99Qr+LbNpw+7u4b4D/1JqIiIiIiIiIiIiIiJYDfiFBRERERERERERERES9jpFNFVaF0qqfa2zOM4/dip33k98ba6RM7cmHpcxw/8PkeSu3TMYdrwz1ofuCZbu/PF7KF8MheKWcBS2jszJZKxXNFVyvrNCinqbMksdWnjo7Hca8NycCAH64h7RjwzXkuzMr7RxQG/FKhG3e9/5Xhvm26TKjzx4FAGy5+yisVi/TvfBE1+WCR/xyFOZo2fzfFyMiaPNdpVx6cK1MU53wX7OIp0M1SsrK8K28dqaWTDbWANVawrtAy6Qtqqoy/ggADjh8pM5HHrdpaXo86scvWKll0SsflWEq46AlG8ye+6Jdll2vZZUtBXQ6G9Rr+ehqCZnh4BoZrjXYQVbLPW2fqXTkL0/zymqb26SBlRFO5Y4eISXnFm2wotlqd9km77zceX0TW48GAGTentgry95M97doqPPya34oy079dzGW/QOZD97vPn6qX/n+0cAnD/R1K4iIema9/QEAgwatBwBoiJUQ04iENQZY/KWMatdY7RkXf30y+J5rUYiNdTLOoPoI/u82iRewKJtLL5PojMsukfidcMj1IizPPq/nUUoXnj8ezW1yIWPXmAP0YuOCCZ2jNy68QNp1yaUrT4zTRROkzRZDcvbZEh/SUKvXvyUH52nMyPnnybgWR2PxNHZNnIj54xqbn0WDhhw/ZjTVEYxdsVisRDzsZRAnYnKxaNdoJhrxo1fzhWCElMXCWCRO+fqZKy6VfcauQR0HyObcwPqkNZI0pm1w4N8PXHnl1QCAsWPHAvCjYuIxt1O/FDW6xvrmmivGY9y5V3m/l69DvptYmHIWF/b1TImVub+biKL+Yq+DRyKq29Kilhpq5In6Gul3F35slhc3qzta+bFqUWIZjeJt75Djuzop01rE17wFObz3udw82Plq3aEyju0Ds5uKaNZ0FBunNinDZNzx2mAxSbbf29COiUQ8hHjU9nPd13Qcu5e0eLNsrujFq9XVRAP9ZPFRsbKnU5rGacePRR1VJcJoSxd0/LDOu6DLkmmqkhFvPze2781vliyatVdPeLG4doTaY4s7tnvLqrh/42YRP7l88LhOxFwv5ian95AZzbuxiODVGuNo15ivYtFi4ywWyp+fxSvbcxYFVlOl65v3z2V27Nu627aZ25TRtrgY0ihZRNdeG4yGGznqjMD8AYnEkr4IfrYQi7heXFs0ap9byDhnjZdjfvjxp6NDI+FmNwfjhazfTDIGNKVkPh8skJWpCsk0XnTu949GY+1gAEBTe4s8l9fPjaY8DkA+f3i3SabfvEEWYl1pfdJY7XqRT9aeynNdc4fTKTZ4z4Pkvdy2q6aTIRb145LsPGxxTBZJ1ZHzI5tsXPuMx2KMOgoONO0Pw+r0MwBJdfb6q7kdGKZRzq0dwXg1i6Gam5KFr1Zbwj+eW/TnK7vo51LWF9Y3dg7oyAKtuq3bNarpY42ZLv/M4rP5ui2KOnJBhtEGuYYquIBbstgsWVg+I9txSI2s6Jw3Ji6yvYuyKnyu2NusDz95/cR+F9n0/R3u5L4BVkgQEREREREREREREdFywC8kiIiIiIiIiIiIiIio1zGyqUK/LK3SUn9MfRoAvJimV5/1S+d+cbRGBD0gJYHlsU6VbFx4ZdMyLBT9OKaEltX+UUueD9MIomIJXlmsRQ5NeqZiGZufAnxwe+Apiz8aUCdledXJMLK5ki5Lnrvxhuu66YBFO2r4aWhLy/y6WufFtf1eI1Gj8U0v/Tk4n900KqE8EmrXn8tzDdV+NBYArxQ5FnEwt1nqH7+Zp+XJWjZqJZj1VUBtUl6z8mGLPdr7EJm/6/pxVY3bjJZ563xKuiHXqCmiNhGMfrAIKCsttdLQhmpgg7WlfvK664JltqeMHAMAuP3WG3HUcIlhevDeYOn7scfJ8x1ZF2ktP7a4KrPvodL25x5f+u3R1zbeeRQ+fnXx45G+u5P0y+evBftrze0lFu3bf9+07Bq3KtjsJODDOwAA0a1lv8zn9MRT1J05koT33fwHK+++RkT92PcOBQAMbVwDALB6TQlrNgZjJzSBAwmNrKhKON61wBG/9K/BAKBKI1QG1EW8WI6qRDBexaIow2E/9qI/qoxXWlo3Xy/zSaUdtLZLR191lUSzXK7xVxZhcsllV+GSi+S5REye68gG5xeXJBPk8g4Ket1s2y+pcS3lkSr2uzd91OJR/ef8qBp5bFE9RX0+GnGQ0TYm49B5yzBftLgpPzIlGAwDJLTNtsiOLJDRmBRbpkVIWXxLPBpCRq/nZ86VOIbBA2RGjQ1Rb5nxqNtpfQAgrQkO1UlgvEaKWXSUF1uqsVPpjoJ3z3D11degK2edJXFRLak8fnvHxC7HWZ5+feJoAECdxijdcP3S3+t0Z9TpEo+T1NwXL14rU8DgAbIj2HkmFg1GcJWfGy7WYymkO43t73nNXamrDmNecz4wTkFfi+hNzZz5We812z8rY24S8ZB3D1ijsVD1Gu+VzuixUix586nSeNyOTEnnJ89bbG5rqoCqZNj7HQBSGr20+mA5ESZiDha0ynOVx5rFozXWx7xosznz5YC2uLCBDdKP8SgwW1+7/VaJy7MItuY2ydEZNjjutb2uSvtQ77XTmeD8G+tjqNI4G7tnK3nnCRnm8/5xY9NbBJeNWyy53u/tGvtmsUzWF8lE2Iuisr6z2KvmtoLOzw3EUwH+9rdzicWAFQouLrkseN498ZQxXh8Acp9ony3YvbEtszpp7QXqaxBYxmlnBed7ysgxmN8ibZy9ILgP11VpP+l76OwWB1GNRLRYIDvXTW2T9a+LuJiZ0z6wjnPkcWNE90EASb3XHqaRx1mLWNb+d11gkMY/2z12tZ57X+4iQtoio20PtESr6rLoLjsPW8Sz3dNb3+QKQEtajz9tel1Spn/t+aW7D9pHP29YoHFrFuX0pwcXfQ+8/V4ybSbvoEH39/astUvbrus5u8Xx2mzvSRHt4/+1yX61flURX6RlO7mZJhk5s0CG+lkYNh+5XO75+uXnissZI5v6v0hfN4CIiIiIiIiIiIiIyLiuA9et/DOIlVd/WpeeYmQTERERERERERERERH1OkY2VVgVSqv2OFBK4yojhbpi8U71VcDTjwbH/4XGMC1o80vJraR3tQHyy9wWLY/Vaf765K3edKkOme6Nr6VQp+mtiUuxNr1nk12knZNfkXLDH+8zEv9cylLG7vz0AOlfK6+0/nvqEVnOb04ajbkLNLJpvvTi23/z2wP4ZbwAOpUxakU8QiEX/31J5rnhTyQWKKElpTkdd1h9yYsDsHkOqdcILo2CatYYgngEWG+NRGBdrDT3ssulTHbEr0/3yu4tDqBDa1X/7zYpUz70qFF4fDHKOXtiP40fe1ajuHbZbyReebYfR/NscBjw2aN93YoV38bDZVjKASE9AC3GqaCxTl88tfzbRUS0GCxa06I4LN7wl7+S9/jVBsZx7bUSqWgxGNUJiTFoz8h7cX1N1IvOufJKiRe65gqJXRl3rh9/c+4FV/bKOlx5mSzrnPN7LxLquqtkGUsSO2V9ENOoi9FjFz3tzdfJNM0px4uqqdY4Teu/qy/352txIXZ9bNddFqvRmpZhNOwgovEh1p6cRnHY43TGQXUyGKM0r0WGDRplUiyVxSZV3PlFtV7edSUiCiiLd9JxLNLqkovOQYfGMNm1oV07RnRfyuVdbx4WJXrxJVcF+sDuHdo78kjEZL9sScmKDRtiMTna9qKDqkQwtqrybwvPLNu+J58q+7tday6to0fIsWTRZ8vK4cfK/UVbunNkqcUn3XLTDctkWWPOOAuAH2t74fnS/y6ASzUux8axKByLNKqriXixvIMaZGjpNBahUn5sWFRWdSIYr2VROI4DJDSOpiUly2jT+wrbd8JhoEPPTxZbNETvKW1fbO/wI8XyBRmnXaOa2tOyD9VWR5HNyXwspqtKb1ta2zUiR6OJBjbEkNY4J4sXCuuya6rCXtvb2mV+C1olWsn2c4u5a6iNYcgAXS+9jGzVKKMajSmKRhw0tUgb8xr1VFMdrVimH7Pj3ZcVOkewARJlls3bvZodd8FxImH/vBK1c4isAsIa89Te4Z9nCnpfGNX7RDsOF7T529KimS1Kze5f01kH51+45O8XV+l5wdpp8VPxmItsziKb5LmCtsH2wXAYSGt/d+h6VUbwXTRhPN78KAUAmNuq866IMrJ+K7lATvvbopBs/eam/PtrL3ZJlxGuiFSe2x7CEI1qau6QJ2tiGt2k869LuujIWRSVTGeJYHV6HGXyQJXu720dTmBZ9j5i+0Wp5KAqHnwvmN+usdD2fpF38E27tGfzQdKZr7/Qs/viXfTzoh7dX28xGhvVS//Mz0j7Nhki7ftwtmz8kAMMTsqGWnOA3z8AMHmOjLPRoIJ33HzZLDvSDEv6eW/5Rh+vCp8r9jbrw//966R+F9m00Y53cN8AKySIiIiIiIiIiIiIiGg54P+QICIiIiIiIiIiIqIVhuv6VUT9QX9al55iZFMFllYF/ewgKcFrSgFz26XsLaVlhqtVaUmt1gSuVud6pYO1yWD5oZVVhkJ+ifILT0hZ39Y/ldJliyJalVhk09+ekr44TOOsHv2j9MWJp4zBnbdLybnFMNz3eykd/9VvTgcApDpK3vi77S/zy2k567qr+WXOf7xHprNS9nYtTy6VrCQ35JXhx6PB0mArS57TLK+vu3oEdTVS+1lbLfuFlSXPa84F2gn4Ze9W+mz7zLdz8l7Jv3nsgeB+8MvjT8d9v1v8Esvzzxuvy5LH488Llu1uu+dIvPli1yWlO+zlR2D856/BcXb9ubw26ZneiXtae4fTEXakn6f9a9HxAM5Wsh3dd3oWSUBdWG//4OPEAODje/umLUS0ytl8V7kW+GBS8P1wx73lfej7a0WQ11yH1RolT8PimcpZJFKxJO+zFqVx+ugzAQA3Tbx+kW25/JJzcN5SRHAsDovpWNAq63L11X5sVIcm6Fmk1NLEgPTUTddK+yIaXeK6wMgzru5y3Nsnng0AOGX01bjlBpmuSWOTJlTEh9x589leDIldZ1lciMUwZXT9MznHi2Kx2BCLd7Lrm+uuGo+kxnQUNW4lrdPXJC0+x4FbCi7Llm2RTemMA0evQ0qlYByTv2z/ttHie+xOMhQOPl+dAKqSusxCcNktkp6CjmwRsajMvE0jmwZq3GdjrYyTzftRP/l8sO1jz+m9uK+l8ZuTRgPwY3wAoFCQxg4aICthUUknnCzjNtTGMG2GZM489see3wtdeP54b7tVxoYtzLnnyn7b0ibX8YMbY8hkbb/SmC6NP7L7u7kLst59ymWXSGRTTiPLMjmZZkij9EU85u8HxosA0ligtrSDtMYv1VZDlx2MERtQC8xr1tdsH1QlbVhdded/GNrUIjtfUtdhtYEa3ZRxvKiynG6rWCS4TKAsMiqt89EIPDs22jtKGKzxUrafN9RqZG3GP54qY9HsmLd76EKx8zFv900ZjSSySKNiyY/Xu0DjuCyayqYtlvx7Ijt+LLrJon9KJf/cZu8bFml0xtmdj7Gbr5dxTjuz++Pv1hvknGjr2659UF9t+weQ1LZa5JKtlwmF/H0tUvFntCE9V+XyjrcfVJ4P7J6wrT2Pf38sJ0WLS1pviIzzxWwZxvU8Hw377bA4oKEN2k49r85tcxDTiKs1B1qssW5r3UbRMFCv+3BzuwwT2qftOh/X9bdTKivzGVgTnE+u4KBF+65KI7KsrTZth/ZxR97xzo0NSbvP10gvnbY95+D9v694n7kkth6NgzeVNs9skuGMFlnBz1J63lnIPa9FUgPAXI3I6us4cH6u2HPWhx+/1v8imzbeiZFNACObiIiIiIiIiIiIiIhoOeAXEkRERERERERERERE1OtWqsimYcOG4eqrr8bee++NZDKJzz77DMcffzzeeecdb5wJEybghBNOwIABA/DGG2/g1FNPxccff7zYy1jVSqu6iwUwP9xD4gH++818IKx11zmtQZ/yp8C4a+9wOobWSI1qrZZgWrlnVVzKBaMRB0WtJXx0GZQl9zff3UnKDT9/bdGRPV3ZeGfZnusPkT4eOlDqW2urIt6BHgkHYwLyeSmLvPmm6zHmjLMAALGolEZ2ZKSW2iITohEtRS6UsM7qMm8rk7WSXiv5vuKK7st4Tx11BgDgtltu8J47+2wp7bXIhnI/3kf2w38+33Vc0hlnnoWQ1jo3t+W1rVqiqqXZgwfIzrg4ZesAsN3PZJmV0U3L2pJGlq29g0R1ff26xFh50U22gd+9EdjkV/L75N8vu4b2V98/GvjkgeBzGw+XYcjq6CPyAwDZeTL89OHl0z4iWuV1FdE36nR5H62vkayTyy6X91yLQaqMKyxn0SqFoutdpxU0FuWCCcH3yKsuH99pXtdeKctYVnE5F02Q+V108YoRv/O728YBkKgMwI81yWRDOO0saeP1V0mbExqVdOqYrqOcunL3beO8eXZk5boqFvXjRwA/ZivkuCi5GoNaEblUHoeaSmscSk0pMJ9kQueb86M8mjUuKRkLtsv2AfldRk5qVJJdYxRLjhdrY9PbfF03GA904QXjvfgYi0CxtrdqhEmxLHMnp9ejyYS83647zF8X64+FRcSsqCwibUC9HGx2HV5uWUeSjR07FkDXUW5Lwo7Nkm43i2Gy+4KmlhzqqiOBZY0fL9fz1UmNjdX9Y0Cd6+33re3BPrBYmaqEi6Iuy/YVY/tiruDHglnMkcWO2TGRy0tkjrTVjjU9JirizaJR19u/ulu2A6A1Lb9X6z5tUUthW07IRaFQsV6urZ/fXjv+LM6nLR1cP8fxI5qsHWeXxbMBfp92ZB3UaQRSWzp4Dh89Rva7tVaLev0yZlz3x49F1Fnsr/WtW7YO5bFSABCNWPySPI6EXW99qhPBvujIWpyWPA6HgI6cnefkOTsdWJxwLOrHedmyQl4UlUyUyXb/XnTOObIvZrNFpDPSmU2twdywFo1asjimeBSo18iv5pS81lBjsVO6/6aBQXXWLnnN1tbOj+0Zfz5ZjT62uD0vhioMtGlcVawiksrOr9k80Krj2D5t87HHNm1TuwM7vcQitkx5oi+jsXfaZyRem6mNfHdin7VjeVvVPlfsDdaHk187ud9FNm2y0/9x38BKVCHR0NCAf/3rX8jn89h7772x8cYb48wzz0Rzc7M3zrhx43DGGWdg5MiR2GabbTBr1iy89NJLqKmp6buGExERERERERERERERIoseZcVw9tln45tvvsGvfvUr77mvvvoqMM7o0aNx+eWX48knnwQADB8+HLNnz8ZRRx2Fu+66q8v5xmIxxONx73FtbW0vtJ6IiIiIiIiIiIiIaNW20kQ2TZ48GX/961+x5pprYuedd8b06dNx++234+677wYArLvuupg6dSq23HJLvPfee950f/7zn9Hc3IwRI0Z0Od8JEybgoosu6vQ8y2fU9w6RYTEPVA2R3z+6u9vR9zpYYm6sdNBKTa38829P9W78zUrne4fKsJiT4dSnZbjRsTL83/2dJtn7EOnjv/zJ78sTT5E4h69mSVzRjAVSntlQJYf3+sPCiEelIKq22qKWrMZeBlXJCFpTMn1Ey09vuP46AMBvThoNABg6SOqUG2r8EuXRY6VM9vzzpNTXSmnrqv3yaCsftlgmG+fKKztHHFx4wXhvGYBEQVnEU32t1K9mNEoqqrWqXcU8XXj+eF1fedzTaIllHeG0/V4yv3+/sGzmN+RHowEAAxMlLMhIv89646ZlMm8qs+ERMmRkExH1sq6impaEvZ/WaOLmuHOD74NXXjYe55wvz12g75nxmLx/WITMueeOX2gE48rG4piOP/WawPOP33sGZsyVawyL06ivlYtYi5lpz4SR1euamirJFpmzQC5orB8X1wN3S0SmxcbkNeolpMs67mSJv/nDHWORSssyLNbGskFqktKGTM7xIpriMY0f6dAYER03EpH4JwDI5oLj2uNS2R2h48V+6GO9bmtuc7x4lSqNg7LHNnler/kLRT9uxaJibrha9jOLdWlJFbzIzbqaiLZD5jRkgAzDIWDmfG2j3ldccpnM79KLJX6sMmqsr115maxnNg+EQ8Fr4cs1Ms0ibCxuDei9+DKLaVvW0VAXTxjvRRdZLJddb9u2seiYbN7BvAVyv1NbLRMNapBpyiOSyuNsZDoZWqRRqeRHnFlMke2vYYsxK0sLsnnb9PlgYk+ARQ9ZrFP5fCO6HhbLZPOJlt3zRvT3do3YsUg8iyLqyDqo1XszG7eg88nlbVzHiydqatWIIL0/yxdkRi0pOzc5qK+RjqpKRrTt8nhgvb++ibI4qHIpPQ5Djh9BZe0wFo1UcoFi0balvFaVCMba5QuOtw2sD8tjtAC/v+Ix13sto+fVmfP0XNshI68xJIaqsqiu8nWw89Z5F17pnVfKEuAA+PehhaKLqd+mvd+lzRaP5wamdUtARiOWElEZJ6bDvE47v9VFo8Y42f1wXMdpS/snUjuXtVhEXSnYB+EQ8NKf5T5wq90lwrcuKdO88uyS3x9us8dIr/9NVvfXd19efpFNexwo97gvTS178oNV7zMgRjb1HCOb+r+VJrJpvfXWw8knn4wpU6bgZz/7Ge644w7cfPPNOPZY+eB26NChAIDZs2cHpps9e7b3WleuvPJK1NXVeT9rrLFG760EEREREREREREREdEqaqWJbAqFQvjvf/+L8847DwDw3nvvYZNNNsHJJ5+M++/3/4rcdd3AdI7jdHquXC6XQy6X651GExEREREREREREdEScV0HrussesSVRH9al55aaSKbvvzyS7z00kv4zW9+4z130kkn4fzzz8eaa6651JFNlVhaFfSD3UZ5v7//dyn122kfKcN77fnOpXf7HyavWdl3Mh6s437sgeVXLthf/eIY2SazF0in/uO5W3H4sfLczCb/OQAY+qPTAQDfH1zEd4ZKTWlU45h+e8dEAMCZZ40FAFQlwljQKl/OWTnsLTfdEFj2JRed471uJaHxaLCs2b7/a884uPCiYGn4rTdIZFO+rNzZ9hWLIqjRUuaillinOhyvzN0iwV54ovO+Z+Xxs+fndX7yfHNKanyHDIh562ml/iub7X42crEio76zg2z3L19nZNMysf4BwBdPye/r7R98LaaZYJ88tGyWZfO3+DYiWmVZVOB3VpP3x4fv63wNZbFMl1zas/e13op06Sm7brDojXat2F9YpI3FIUXCLlrb5drnNyODEU1/uu8MHaek8w+jIysXNlWJYO6HXdc0p/y/40ppVMxZ4xfd77fdeLYuSx6feNrV+L+b5LlqXZajcUrWBosyiUVctGlkk01v102RsPySyYW8iBeLbrJrIG8+URe5XDAWyuKiMvp3Wck4vDgom96WYfEo5ZEoFsdkcU5zmmQ4dKA//9POCvbPFZfKfmZ9mi+6yFskj8a/NNbJQsJe20to0+1obbf9oTyOc+K14wNtP+Ps3r3WGz/+bFx1VefI0HIXTxiPCcs4fqkvjTnDosZkO9x80/Ve3Jtt02qNiLMYM7s+Dzl+/I/t77ZPWzSYi84xTLmcjGsRrNm8Hxtm+4PNx54v308tNimdRZftdBz/OWMxShZr1pH1Y9GqExa5JMOSfrBUKPgxTFk9pmwftn3SLWurPefFQunzre0Opn0rmU9fzZaGTG+WGcX0eEzp8fi9If6KrjVEFr7awIS2T56Phh2Ew8EVtP626KvmVAjJWDC6KGcxctq+TNZFJicvViWlPfaRWr3G7GZynWOb7TzRkbXnZaqqhOv1j73WnLJzhwzjsRAG1AbnZ9vKIqZc13+uMrKptd3GddDcqveHOvI3s2Uj2TmysU4a3tRa8LZ/KiPjrt4oI6X1cVuHi78+uepFEHXHPv+xbfT8p/pGvZCY71UBP1fsOevDj/55Sr+LbNr0x7dz38BKFNn0r3/9CxtuuGHguQ022MD7x9bTpk3DzJkzsccee3ivR6NR7Lzzznj99deXa1uJiIiIiIiIiIiIiChopYlsuvHGG/H666/jnHPOwaOPPoptt90WJ5xwAk444QRvnIkTJ+Lcc8/FlClTMGXKFJx77rlIp9N48MEH+7DlRERERERERERERES00kQ2AcC+++6LK6+8Et/73vcwbdo03HDDDbj77mAp2IQJE3DiiSdiwIABeOONN3Dqqadi8uTJi70MllYtR5udJMOS1rVO/n3ftWUltO+hUh45oDaEjqwcxl/OkdeGDZDHzzwm5aS77z8SLz8tv2+2q8Q7ra0l9bVVUjqbzQE1Sfn9k2+l5vWtl2Sao4afBgB48N6bAQCnnX4mBmkEkknGraTaP6VYqX+7xg1YybBFNo0Z55ex33GzxBdYCbPFA2TzQCotz112ebDs3crEa5J+hMG06VLON6AuDgC4+uqFl9N35WcHjfRKcXfeb6TXDsAvrW6sAZ57vO/Ldfc5ZGTgcUcOSGlFo22/Vc4mv5Lh4p5TNjhMhp892jvtWRLfO0SGxbz/HOObiFYpe+t5PaoRHk8/Kufy886V97zLr1i8CJjLNYYpr/EXC4s5WpHcdcs4LwYlGZeLgpY26YzaasmEOO7kaztNZzFMh/xS4iYf/cOZ3rXEsSdcBwB45sHRAID2jMwvrcOaqiKadRkWY2JRJRZd8utTr8GTfxwDAGhrl7/pSnWEAtP8+tRgNFS5P/5W4m7mN0dQUxXMFknELaZIl6017IeNuB6/u20cgLKIGJ3Uok+KJcebzqKb7DUTDrloS4cDz9m47R0ybiQMjB4r+4gtM20RUo7frrxF1ySlIVl93Nwm49ZVy/Mjz+h8/XX15bIPn32eLOeaK8YjJek0qNEInYH12hfhYAxV+TLTGY1Q0f6vrip541mU6PFdbAs7Js5bRDTZTdeOR7Vuo4Vt0yVhcVULWiUPZuY8yamJRhx8Z5is/LKId/rNSaO9WNaesoimuhrZ38N6UHhRRC5QKlm8jjyX1KH1n90LtKbCaE7J9G3tGqfaKPukRe7Eo37sy5kVcWgW31ZyHTS1ynO2zyxOdNrCWIRaJutHygL+ejangMED5HeLlA1X5Ew4IXjxY3avYHFoUf0T0PKj0iKaLK7oyxnyS1NrAXOapUNqJH0JU2bLwvRUjgF6HKy7moNYxCJvZYYNtTF9HPLaYucyi8pKxoPtyeT8c4adFyz+aPoc/39tRsIyTkOd5CXZts7rtLm8i1xepq+rluXb/Vms4twUjbid4n7t/tCOkWQi7PVzVcLaIMN0xo9+st9zhWDsb02VDLM5YF6zrEdUZ5jqKATWaXaTPJ61wL+PnZuScQfXSGf86y+r6H1VNzrFeG8qfyg8pFo6fs4bE/uiWSsMfq7Yc9aHH/7j1H4X2bTZT27jvoGVqEICAJ577jk899xzCx3n4osvxsUXX7ycWkRERERERERERERERItjpfkfEkREREREREREREREtPJaqSKblgeWVtHKaL9fSMmklfGvN0xqaOe1SO3w3GYXeS1fzWkZspXX2vP1SRcDa+X3gs5nRpOM887XM+WJKY97yzz/PCm7tzLb+hoEHkfCfuSAtaumSl5sS2u5bhiIa9STTWfjFrV9HVngm1lSZrvW0FhgPqeOkTiAW24Yj1FnSLn2WWeNBQDEY1LT21W0RWUE1aFHSYxVLCrLnD6/hFeflfLTH2s56j+1HPUn+8rjfzx3K3bfX363OKxlba+DZf4vPNH9/Hf9uYyT0LLpv/zJH9diP+y5QduOBgDMe3PiMm7pCmzDI2T46cMy/N6hMrR9eb39gbp15ff3blp+7dp4uAwzC2RYGcv0/SOBaL38/uEdy69dRP3cJrvI+X5Qjeud51c1l14s0TEXTFh4bM2K4L475T39lycGI5quunw8xp/XdUxLeXTTcw+fDgCIhOXi4me/uKXLaR79w5mIRWWcuQskjuQ3IyWq5/aJEudSV13EMb+R6Kc7NWayvsbid2SakAOcPrbrdlnck8UfAcCMeZKd0qDzaU5J8frJp8v1zR/uGOtFEVlMkcWshDS6JBpxkdNoKou0Mrm8TNPe4SCT8yNOrK0AkNLIplnzcihoTks0EtLp5XEyrnFWsTAaav1rOMC/jpy7QH5xNaNl0IAozr0guI9dpZFN5dE11hs1Sb0e1Fetn4olBwNqpX86NELKoryKJUeXHUZCY2jsevCuWyR26oRRnSOXxo+X7XfVVcFYKbu2LY8IveFqee6Ms5cuFujgI+WcY7E9FrEzuFEu3OprIqjW6KE2jSi1SB3bx6+/StqQzjrecXvP/8mxYfuFXRN35ZxzZH0bajRyKQwv9ugKvU4+91y7rpd+T8QcpDPSz1dfLX1483UyTl2NbOvWVBhVGh9k29SOI2ORO+2ZkHdMLYnrdN0tyqn8uLd+sXiniyfI4/LoK2vzvGZ5nIg72k5Zz7PGX+VFNqX0/qRdk0Fqdbuksw5qq4IfmVRGnpVcP1bItfhZjXCyPujIOV4/WZRRk96rWWRTVcJBS7vMwOKcBjfYOUAmsqijqngI0+fLuNW67FbdhzZYUw7QxvoYJk+VXLQWfW2TdWRnzOQ0di3nYrVGjWFKhLUv5JirTka8ZTq64HjMzg/Snv9Na/f65Zv5Fuslr228tszPj43SdraX0NIu41gMk51TEjGNhqoNo0rbk4hLOwbUyWvWj/NbSqirCet8gveU1v+ZrOtFSLVq3za1SOcuaC3quHqP2uGf0yy26t8vrJrXCgtz+ugz8clX0od//Ux3LMdu/LUDP76nD1q24uDnij3HyKb+b6WKbCIiIiIiIiIiIiKi/s11/S8a+4P+tC49xcgmIiIiIiIiIiIiIiLqdYxsqsDSKloZ/eJoKQd/7AGJIrAIoscf9KMJLNbp2cek7PSIX8o40+fJKeDdORGsVS21qZutJc89+seuow2+s8Pp+OlmUiw7aIDUlVsJbl21/FIsOV4pr5UqW3lyUSs5a6uApJYY25nIK5MuK422mIGztCT7wvOl/DqqEUuRsAvXld+bWqTE+LrrgvEON14j03w5I49YVBo0a15W5y/Lsv7beOdR+PhV+X3rn0o/vf23rvtiRbbvobLN49pPrWlZz28WhPDpP27us3atqNbeQaI9vMiy+d/KL1P+5I+0/gEyDGueQmIQAGDDhgg+bQm+na6t5eFRLVv/4rXF6PP19vd/j1YBAGpqhwIAUv+duDirQUQLscNecl58fRWMYLA4GotYzOUdnHehxL9UxtJY9Eko5PRJtNMj95wJADj8uOsB+O/h8ZgfyVGVkJP1cScH3+//+NuzAAD11QW0pqUY/OhfXxd4LRGTaUt67VAVL2C/I4OxfZWRPw/efZYX4ZHOSETIiacFY3Ku1kgiADhbo2UsDsZihj6e6niRSBYraetXXyPj2HVPeUyUxR1ZvEljnYzb1h7y2mXXW431ci1kkUaZXAhNLfJitUY2zW2WcVPpvM6niNpqi1fRaBaNaurIyPzisYgX2bSgtaR9Ia9VJaSvr7nGj+WxNlvMzugxsl3XW1PiYdo7gCp9O7V30NEaeWVRPbEIENL3UYvzNOXvuhbBU9BxaqvkYjPVIetgUU6ARH1WPtcd26ZnV0SE3XD1+E4xThYPFA770aL33yX73P++lP5p0OPPIno2Wi+OT6ZJNOmAOolxau+QPl1jiExj23z02Ktw6w2yP2V1H7G4oisulSi2uuqSF/PVUCvbaOY8mYEd79deOR5pvd4e0ihtTXfYNbU8vyAFrDVEpq9KSF/mCiFdhrTPdYGUHmO2jeY1y+Nk3OJ4/O1icU62TeyYMIlYCU0tMn00GrymsvXNF/x7jpjsRshotFFcH7emHS8CzMa1yCe7B6ncnoB/HNpfr9q05cu0/glX/FlnJOIinbHjTYdZmdHs+dLZ2bzrxRFlcxZJJsP5ejwNrAt5031nWELnI42e2yzHakIjk7L5Ej6fKeNO1X5fq1bGff/vct+y689HenFJHbKbYX5aph+k933ZApDUvhug+2ezpjDZvVtVHFhb98eSPjltlixrfkoW8MHcLDZslDYP0Cgvi2Ga3SbLnKcRY2vUFLHB6vLa0IFRXU+LiJNx0pkiIhpx1qHxYasPTnTqg7xGy0V1YeGwTFOdsHtSoL1D2trUIp1g96hZnfa/Ux2vT/7z11Xv+qA7Z58t74PZnPSfxXZlskW8PUX2xzdfDPbXlrvLvfO7L698987LEj9X7Dnrww9e7X+RTZvvzMgmgBUSRERERERERERERES0HPB/SBARERERERERERHRCsN1HS8Noz/oT+vSU/xCgqgfsKghY1FNP95Hoin++WUbnv1MTnyJrUcDAB5+Jw0A2Hig1MqvW1vE4FopX538rYx7iEY/NdZJCayVt74ztYRUhyzLcaROurFe5pPRcuDWVB7VSTnFWGSQldNbGXe+4GBOE/R3LbfVGIO5TVIa+r11wl5Uk0VIWLn7nAUyn0Tc8Uqpq6vCgb6YeK1MU9Kq8JsmXo+zzhoLwC/prUoE3xQsrgkAwqHFT7Xbeb+RgWX98/m+Lfl97nFZ/gGHS7uszHyNhhI+7atG9ZGaH44GAKRyEjOADzpvm6/Tuh+8N1GGGxwmwy1GA+0a3xRvlGFI3z4/uB0A0Lbd6cD7wUimr3W4/k6nAQhGgXUrkvCXE5IS9jCvWYh6bJNd5P0sGvHP6XseJOfGATVykLVn5DWLNuxvLIakVaM4Lr3Mj2Jq16iRCzQSMZf3plpOrQtKpeUN64G7Je7m6F/LdcB9d8r7d0c25EU13XGzRNjkNCYlpxEc7Zlwp38caPFHD//+TG8+ANDWHu/UBov8eeh3Mu6CtjAG1Mp7iMWYVEb/OA4w7txgFIxdE4w4Sdp7zRXjvXjKi/S6Zsw4mebm6+XxaWd2jpOpSgQfWwRNNg9UJfzrKgD4YIoMBzZIP86al0cqLRNYRIzFolj7NlgngdUGyjjtHRaZIvOZldeYlcEO7G10frNc8P3uromd2mos1sZiPyQtGJjfIo8aawFHxwk70q7K+DAAuPRiiSOy7XnhRbLvWkxRMu6irV2v6ZIyztwFsu7l2+NO3VcsrsjilKydM+fJe3t1levtT1nvWBAW6+N08d582lnB7TbhwvHeeeU7q0tHWwTY0hp5hsSEXXaJrPuVl0l7hgyQbReLlnDsCdd1Oe31GoPVkgIG1MlzFoWU0GvzllRI21vwpsvk5Lm4Xsc3tcj1SU1VEdGIrFdcY9Aa6zRiR4+tnO6T7R0OaqvkuZiehy1KqK1dx807GDwgr9OHvfUBJOYVkBgyi+5qatVoTL0ka05Bp3E7Hft2L7EwdhxaLJZxXQdRjTTK6/5gx19I951M1kFcErcwe7703cfT5GYpr+NGw/49UVpjmeo16rY26eg6lDCnxZYh09uqpLPWIo1KanPwzsvB96umLSR+FDr8Yj4wpFrGn5WSPp2XC+68azaUUKvHTUqPDTvH1enzsQiwoE3mUxV3AuNUaZTebuvFEHJke81ulXE+nCuNTsRlA27aWPD6Iqw7QEtKz6t6LoppHw2oj6Gg94dzmmScWo2YK5Zko4dDDgpFjQgOy7h11fKaH7nloj0t07e2yzpMnx/cBz9/Ta7PPwcBwEmnjAHgx8fZtopqhNaMeXl83CT9vO2eci217moae9UgB8tq9fL8C0/0z2sqIuo5RjYREREREREREREREVGv4xcSRERERERERERERETU6xjZRNSPfdWsGT0f3wtsLmWTu68rpZeFotQVz2iWUT6c5EfJbLW7RFu0pqWc9U8PTuw072EadREOSXns4EYp0xzcINOsMTjkleRb7FFHVsZp07iIbL7kRTTV10hb57dI+wZquWe6w6+5toil08f6MRMAcOEF4zFkgIxn8QLXXill6W1pKzGV1y+/5Bycd2Fw+oV580UpMz3ylxK7E4/J/P5w902dxn312RWzJDWi/fbUI7KN9z9sZF82p08M0nLy1H9lG31nByll//L1su1oUU2qsX4YAKBp/lSgfn15MvWNDKc8DgAYtp3MZ0Z7Ft354rWbu30turWURGvCCFDULIBwBHhX2tOy0bHdTk9Ei2fyK3L+23hneX/bce+RXlRGR7Z/RzWZy6+QOJILNZYJAC65SGJfLpgQfF8879zxgWmWFYveAfz4nfYOidC4+mo/ysYig44/VZ574n49V2p8xy9PvNaLN4poTMdJZ0mUjcU61VUXkM4EYxyNXZck4zJtV+NZZEw4LOOWSsCcJrk2sSuT0WOD/TPu3Ku86w+LdDl1jIxz1eXy/Kx5BUSjsn5DBsjQopssdsjmEY/58U3NbY6ul13v+H9XZpE1IV2vtVaTtjenZJq1h0bRltaYHY1gmbNA1j2lUSZvTm7Hz7aXFy3qJK4xNQPrZQGRSAmnaT+fMnJMYN3P1X3G1Q27WqODovbBYF3PTM6uA2XZpRoHSY0Byuo1Yrjiz+VGjjqj0/454UJZVqvOJ5N10FgvrxU0aaimSuZ7ncYUhUPAiadJX1rsUlOLrFeL9rtFv8xvdTCgFoG+sGNlXrPrze/CC4Lb2rZDR0Zjw9JF/G+q/G5RWSNHnQEASOl+/4e7b8LJp0pfWqyWXe92da1p5i2QyKxkQhZqUUkL2rq/vbf9dmA9UNTrjuqk9aHFdMlY731awvfXlXnVJKVdzRr5U18jj9vSYe/62qKLZsyTcYYN0lihFnnsuoCjsVyz5oe1zdY3Mm2uw8HcBbLTWTRMXI8V257xWAm1VRojE5b5zNRlWqxToejHN9n+3h2LCAP82CqLsYpoV8airheHZutp5y+Lt0vE/GP0ky8laimqpxWLbIqE/aimvO6nTW1uoA9mtzqY2S4TvjlDVmLzwbISQ+pk3GGD5PWqeBGu3rO9O1cbVNBM3Y/uAgAM3XMk2nTbftusOblROViGaARubVLib2Vddf20T+a1yG/fNPnHarX202oNGt/T5McfWTysRSFtv2ZMlyErHLGIqzzwn6nyYKu1pIMcPdha2vM6j7x3/Flk0F/elXH32Ny2lYu1hkr/WISUxaSlO/I6TgkfTZPfC3a9rV57oX+/7y+Jc86RqLJwyEFao5qyeoOyoFX675Nv5fGsVBgjdpDtd+vNem91jOyLn3wl56Yvm/i3z7RsuC46xfCtzPrTuvQUzxJERERERERERERERNTr+IUEERERERERERERERH1Ogd+RR4BqK2tRWtrK+rq6tDW1tbXzSFa5g48XOJ6/vxIsET1ZweNRENNML6iQyouMbhevrt88N7uo2cq/f72cajWEu/Dj7seAHD66DMBAHU1Ug/ckSliTpNE3QxpjAMArrvuWgDAL38lEUkbfKcaCY3bOWu8lNpblMHYc+TxxRPGY8LF8vv1WppvZbsWD5DRdbr8iqu8mAeLQVhaVnZvpfU3Tby+R/PrC3sfIvvDX/7UfcnyvofKOM893n/Kmi2W7J2Xb1nEmEGDth0NAJj35sQlX+iWo70YpiWbTqIcfjhIyqX/+1L/2Q5EfWXbPUd6kXwro1P1/ae2Wt5Pr7rq6sWe9pYb5D0w5Lg4dcziT7csnHXWWOQ0AsLiBKGDtEbYRCIOhg2Wa4L6Ghk3rtcB7Wm5HnEc4LSz5D38/rvOAgAce8J1AIBH7pFrDdcFIhq3dOjwGwAAj/1B+u0XI+SxRUG1pCLeuFUJjTLqkOwRi49Kxkv44luNoxks47Zq1E+pZJE/wIUXSbyQXWt0ZGT9hjTK+n05M4yvZkisyvprScaMxfkM0AiVBRo38//snXeYHVX5x7+3t717t++mJyT0JgJ2EUTRnwVEqjQFQRESEkJHBEHpEEIVFUFAEEFEsYIi9o70GkJC+vZye53fH9/3nbt3d0N6SOL7eZ48c+/MmTPnnDlzzpndvJ+tlKsql8UrMgCAqeN5Tnsz96/tWkY1Rf3yejMgCo7OPi72JrSGUBGPQGM9+5Wub4ZSLPs111yDE75IVaFql3beLgYAuEL0Xto36+sCCAZ4/riWWi1TTtaX/3g+jb13qaspp6p+VPN5+plX47zzzgVQ1XqpWqRvkBkF/B401gelzMxH131BUf8MJIuu3igW4T1VDUlR+qSqtMIhH668ks/Guefy2qqi0nPu+PZ8jOSUU+dI/ixEKlN2+7u6Z1oSbNukqLK+e3s1n7lnnS31YTmiYe17PL5kZcHVSoWCPOYVlc0N865z87n9JrZPVjSmqjMdSrNt25u8rtJI1UiqT3plMes3dVwQKbH/RMPcqoYnHmPa7n4fVvbkh1cPLQ28DztNLcq1Wc580YshUYgNyrXbm7gNizotnfViZY+MD9IGHdLPVa/WGC8hKwoi1XuVysxXtUoVp/pMhoI8r1Dk9y/NqqrhRqLPrKrTdEwIBat9Vq+VL/BYawP3B4MOnnuNif7wPO/tgJSzQco+rdVBp+hsw6JGmtzKNPUx9pnnFxWxXDRXCRmLdp7ItDoWNIjmtlx2kJNy6DvaPh/lmn0gW/1/p3FRLL05VKummxRnf5jeXt3XVM807c286arJS2dL6OrjPVUlUl50VeObea0VvRVkpJ3GN9W+U6rOLCRjQibvuP2rgUOIq2x65AGuzQ87Zhb6Uzxf2/9vK1ieiTL3vXtaBZURGqZYhPm8tlyVYB6ERTf1119vvfP+pkIVjXqv4zEfnn2VD2lS1MlDI+7V9hNDuOnGre+9d3NiP1fccLQNn3lyJirl3NtdnI2G1xfGOw64xfoGLELCMAzDMAzDMAzDMAzDMAzDMIzNgP1Ra8MwDMMwDMMwDMMwDMMwDGOLwXE8cBzP212Mjca2VJcNxZRNI7DQKmNbZ+5choMPJIs1+/uTFTTEGTR113dvBAAceDDDfmMSqv3og6sPcz3yOCpwdpjCWM5vXn4Vvn/7OQCqIdS5AvN3hoXWvrCQ4XcaptvezLj0/7zEUNFfPXwLLr/sAgDAVy++csxrX/y183HZN2qVBVd8g+d097OeqoZoa/K5qqdvXMo0X7tk7Hw3lP0/NRN/+MXmDw0+6FDet8cf4bWP/QL1Vxrafs+dq1dvrU7ptbXz/v9jvUaGah948Ew88eja13X3A9jPn39ytOppxgfYzolw7bT61O/WTQu1OvaQaydFQ7bor2uvUDMMo5aDDp0JMbDgtz/dusa7uXPPdjUtqjncWrjym+e7ypNUhouBq6+mGufss7lm8Pk8SIiSpESjCAJ+3qwLLlq9nuibslYY18yTvnj6aDXLz+6bAwCoyMtgNsfrHHNyVXfz8/uZJpnh/9vq7ud29jnVa59/PpU4qsq66nIqLwpFD1Z0cV0zvo2LJ1W76Bzs8Vb1Nk313C7vYluogkg1Pueeey6iohcKBzUt0+hayuv1IBGnvqQuwn0DKb0mL/TNy1ffbqrT9Ho9aIizrj0DvMbNN85b7XmK6itjUZZBNU3hoAf9Q1TXaD+9ZR7bTRVC3f1ltDXxHsQijpzH7UmnrV6tMxaqVrrmmtrzzjuP1yyVK7heyqF1XhvVpvbLkc/aKafOcRVIQxmWuU5UMaql8Xo9cETHVV/Hts3meM5ASu550nGVTKrPPO5ErifyRdUC8VyvxzNKE3rOOSyfjmderwfjRQOUyqrKSFSsOV4zly8jm2c5tK99/RL24YltTFMqexAK8HMyzXukmjS957fcXO0fl1zM8+tpFEMsymuW2AUwc+7VrnK1Ic589TlQFVvPYLUP19c5Umd+H0h63P0h0e+oGnZIyqeKJVU6sa48b+55a1abqdZM21K1Yemcg2jYI23BslfEExQJ8doT2hz86wXqq/7xGsv14h9q139HHDcLaVHgNNezjKre6hviOUt6HFfnpHVfMSjvT5LPbhN47X13jbvjjWq+Uhnm058su2XvE0VWWtaP792RZR7XyjEqHq0qlfQ5XNop2irZn81VUKlo+4pez6eqOlE4FSpIyvW9HlVmcdsoY5SmfWFRHv2ixorI/XyxlxdrCVVVSz4vj7WJvu/NAZa9JcLvbfUOEjHm0znAtKoVioS4/6EfbJx1+LbKzDNkDI/wHv3uqQxelXbevYUPsOrCjjiAir2uvjKee50ep8cW875NizKRvZ8Q+7nihqNt+PTvZ21zyqa9Pnyz9Q2YsskwDMMwDMMwDMMwDMMwDMMwjM2A/ULCMAzDMAzDMAzDMAzDMAzDMIxNjv0NCcP4H6Orn2H4YQkRbpAQ2mik7Ib7KiNVNl84eTYAKgAiIabVcO36GEM7H/1bGgDwxS/NwdOvMHSzvo7XaGtiPhlGNOP8r16FCy+U8G1GgOLcCxlSfdFXuf9XWL2qSdGQ4eFc+DWeo+om/T6ckaqm885juP/VV6+bJmB1rK+u6XTVH0Q4RI/UD6wJVTUp931/7UNntzVV0ycOo6qpIMqAAz7N70/+nPUMBdYtv7FUTUpMNBNP9fJZCOvj9I453D4zf9Q5qoAKSNr/PrH6/J/Ta+85a63LaxjG2JTKVYWOKt0aZR7Ki9FwS1U5zZt33ZoTbaFkckAwoJ/Z0GfMpj6nLDqQcMjnqldaGlQZM/r/UKkiJpniAB8UrVPPQDXtjdcyjeqWlnSqooRakcY4y/Dg98+C38drZUT34vE4smVe8yUvAKgTNcVN13NfUJQjfl8F2TzdSo54X1RREhP1UsUBLpJ1ja51gjIJ1EU571/8Ne5vSQCvvsl1WzTMuaU+xvxzhbKc40NR5rii6LB2n84db6xgY58x+yxXtzJcswO8tbboxFO47lOV59y5Z6Mo7o6GOMuRL/B7OsO2HCiresmLsnyedzXr01jPclUqfrcOoSDrpc9joVS7prv4ovNx2TfH1u2cNvNMAMBtt9zgrpW++KU5AKrqKFWCqZZkTXVWNB9dN49kIFVGRHQ0qikaTIsqS8YSbwXIiCYpKwOLKmxUx+TxAMlsbd4/uGvsddsxnz8D999de0z7geq15s49G0+/woW2alD9sr4vlkQ35DiuqumwY7im+Ptz9PrsMJn3dfvJQQylVJ3GMus6Wfs0AJwkfUQ1R8u6eI9vGGOcUmXqrTdQo9XexDYpFFU55sG4FtUBMcPOPn9NGZZ3AVFZYDUnuE/VTapqKlc87niwJlXTXd86Byd+hTqunNzqVIbbhGijxrc4yIgtpKleVEY+1URV82puYNvFQ5kxr/XQD27GrvuzvSeIVus/C+Q5DvFa//nt6HnnCNHi1skYEgywvepjDtp25GfV0BUK/K7r3gVL8phc0TFIVE0tTNOUkL6Z87rvZgF5/hri/F5RNZzH545z5bJf8uP3QVFCBQNw26k5wa00k9um9TGes93EgHveoIzhu2fLck1ReA2U3fkiLfnWy71uqNP74HX73pQ27luX9x4DmNzBfvvcAt6khqiD1ixvvI7L++1JD9aqXrZ/OOhzNV/6vrNojHnaMDYG9jcktl1s1DAMwzAMwzAMwzAMwzAMwzAMY5Njv5AwDMMwDMMwDMMwDMMwDMMwDGOTY8omw/gfQ8N1v33bDQCAY79wBgCGt5577rlvee7377jR/XzKqXNqjrU2MSz83Tsy5ndlbwl9QwzrjMcYiptMc8hpb2b87byrz3e1B6pEuO+OswEAfUP8ftN15+P1pQzpzuZVT8B8JrZxm8o6uP4q6gC6+hm3qyH6Y6maVsfGUjVtKLeKTuHii85fQ8qNh95P1Sv4fB43nH9js/+nqEdJS3j4vzu5bQr50ffvjXvNXz3M0PeDDp055vHs2CaG9eLZ39fqlsa9n8/Wor+uPnT8rRRQSnjvOQCAHerZ/58b45z9Psn6/emXtaH+u3xoFl7645qvYRhbMx8+mP1/fLN3taqTkfz+0dFajM+dwGc2IKqQw46ZhYfvt+dnY1MoqtLHJ9+5DlD94jcvvwrfuJS6xc4+plElx9y5XCPMm3cdBoa4NlDdZJjLEHg9VZ2McvllF0haXitfUCUIVRWFkgftTZwQhtKqYmE+k8dxsqpUgK5+pn9zpSiWIpC03C5a5XU1Fsk0x2yf1GswVZEyeNw1S12U11iwhMcScZ4cl3w7+4BJotPIypypeqCFy7i2ak74Xb1UWjQbK3r8Ne0WDHhx3XXXjmoXAPjK6dQejWsNY/FyKjvEyuTek+NPPEPapuSqkDp76VBRlVQ4xG0uyfuSyZUR8DOtGGOgkoKeQW63nxREJMSLxcLcLu2sfT3tGyrUqJmG0ztYcj8ffQK1Nt/7znwAwAlfpEpIlWCpTDWtKnAe+sHYz/cJJ52BvPTLZIbbjxzCcWZA1DOd/Q7+9Euer3pIVTit7GOFUzkgIferWOK+AdEz1Ul/dRzgH4+tnR7O46leq6VB+6m3pp6DqRLu/t6NY56vyqVJ7X5c+U32wQsuotLoiGPZJk8v4HMQDPiw01TWJ53lNV5ZzE7Ykqj6LnMF1uuyb4ytRrr9JuqZ+oc8yIp2Z2mn9nvRVxUKsq3g9aXcl82z3ce18Hsmx+eppTGIEj9iRQ+PhURhFBZ1ZijouH1YdWENce7Q/UVREw3XT+lzrLoipVT2uHqiviFvzbX07IGkB0Mp1mN193Ofj85EQvLRZyMe5nddv33qiJmIi5pph6nsPPqO1NHMtKqc86CEZKZ2vMqI2krfowJ+Dya1h6RduE/VVBm5r4GAg1DF49YDAKKhWmVdR3PZ1fcMJPkhL/l4vaIui1XctsvmuG/OOatXZul7p0/Ob25gORO0A6EuWkI6y+e2vUnUbjImJdMlqbfHLaPq44x148En6c7acQLv60DGg9YY2/KAd9I/p/dh6SqOAW90Ak/9bsvUWhqGsfVgv5AwDMMwDMMwDMMwDMMwDMMwthgq8s/Y9jBlk2EYhmEYhmEYhmEYhmEYhmEYmxwPqpGGBoB4PI6hoSHU19cjmUy+3cUxjM3KeecxrFp1R2/FWWefAwAIiXIhGma8bEFDt795FT77OYZ//+SHtSHxqgeKx/xumG5WQrE98mvSRB3jiiMhD/KS54Q2bjXcOp3luf1JoFAoyzGmCQaYUVsjt2edz5Dhc889F9dcs/nUTHPPEr3E9det+7nD1BRvB588nFqAqeN4L1QltbH4+GeZ/29+8vaF/B548Ex0SXj62uiTNoSOd8/Gqn+OrVFYG/b5KNvrP7+1EGnDGItjv3CGq6i5/+61UzeNhSre6iMed9+PtzB103Gi0FlbRdWGMHsOVTADydKYx8fSw+gaIa9zs2hRvnXrDbjoq1SofPNyzstf+socAMB3vjUfADDzjLlorOe8k0xT/5OIU8kyKDqgYslx5yTVfhSKvJZqIf0+IJvnPXxjGT07jfU8NmUcg8RlCYJ0DmiIO3Je7atRvsBEHg/Q2SsKG1mzNIhiSbUvXb15V81TH6s9psoZjwdobQoDALK5krsPAJZ3UYcxuYPHJ4/z4fkFOakf8xnfRp/Tqm66fzSv4RSlLSqOKmx8a9RSzpo9F/1DLE8kVPt/1kJBr5Sh4q7bVNOi9/Z2UYGqOikS8uKu77JvqDano5n5D4oWq1j0ICTqmzdXMb/uPtZX260u6sPNN9auP1THdI/0vSOOnYX6GPPUe/PAPXxmv3wadU/fvu0G7Lo/y9YkqqzWBK9ZJ8/6PXeu/nmaJhrGZTkp+1NVfdRHP8Mx4+kVotwKcKEa9gMeedWuEwXO4kGmkaZG7qn52OVDLJf2g5i0SbbIHWIlQ67kwaQmUUmJ+ml8E9OMpZc77BjmqxqxtkY+V+PbAgiInqi1ke21qpc7/vF8GgDg8wIf3IvunEScaZ5fwHNWdLOfTmgLob2Z550t6+yZZ8wFANxyU+09u/DC8zG5o/bZGpT11+tLec/f7CyhLDqmkFihVKOkmqaOJp/b93Rc0HtfL6ofn6+qE1J6B+UdQl4itp/MPL40q/pcaD9VggHVMnnccnnlXqgaruIwn1cXF9a4Tv70ETPRGPfW1Cedq8i1mE8k6MHu21PVNKGVnSQcYuJ0lvXsH/LLtYFYhOcPpphvUO71UIb5FUsOKvLepP2rUbRKAX9Vy6QKqkJJz5O+J+NhNFxBoo7l0XlW22JFd9Btr6Dkmc3z4JfPWP07pb4jtTb6pV4s6Koe9oepE6JoaWDaIod++KQ/hEPV8frk03kPTzxldk35VLeWzjlv67vGlk7dPnMAAIftyYb77xsVyOs9dhgviizRAepY9NMfWXuuCfu54oajbfifJ85ApZx7u4uz0fD6wtjnwJusb8AiJAzDMAzDMAzDMAzDMAzDMAzD2AzY35AwDMMwDMMwDMMwDMMwDMMwthwcDxzHs+Z0WwvbUl02EFM2jcBCq4xtkS+cPBvfv2P9VTHK8DBs/azKpvYmblf1MJy3UKogX2B4p4bda+i+6jCiQSAc4oCs4daqWtJte5PfDdeORpjPV2aPDv/VsF8lGubvW3v6GVaezVdDogN+XvO2Wxhu//VLGKKtU8Mll141Kv87bqUSQsOCx0K1EbGId7X5bGxmzeZ9GKkz2BJRpcFvfzp2mO/7/28m/vrr9Q8B/sghzP93P9syw4j3/PAsPPv7jad92eVDszClhc/Erx9ec51VVfHiH7Ys9YxhrCtfOZ0KllSGGot7RVt0yqlz3HnnrdQra0J1cqUy0BTnzKDzxn3f3/SKpPVhuJZGUdWSqoK+e/t8AG+tElTlhSo+4jEfvOL56O6nMyMnGkVHvBiJOk7S8agPt4iy5PRZc2vyVbXHzTfOw6lSVtUA6T3TeToe9blrANXvxCK8xvhWzu3Lu0q4QXSGX/zSHJZD9EkTWlWVBORE2zIouilVvbQ0+qQuPJ6IAfFYpabupbLee9YzEqogFmF5VvYEZVurnfR6PegbLEj7MJ9CsSLtxHINpkoIixIpKX24QY7VRbndbQbPff71qopKy6VapYyoXnacGkVTPfPr7mfaSNgn12Yh+gbz8PtY1m/dWu0jANeIWt6hNPMcyogeqpn5eqTdQgGPq2jqT4rCQ9ZoqoNJZh1pP2Cc6Hw++2GvlJ31S2e97jkvvcF+pbob1TGFRGGTyVVchdQd356Psfjk4TORiDGNaqpU2aQKqd4hZ7XrD+UzR/HZf365F8uljDmpr+sUfZrtN/V9s93zxtez3f/2m9r83/vxmViVlHsjCpvpkvbZfvl/geU88NxtvMQ7+WzsUs97HJK2/e8TrMs+H52JuBi6JrQwv4EU74O2VyzswZTxVP7U0e6F/iTroGviYslBvTy3dVFqjya2Ma0qtJZ3ed3zdf2tz8Lfn2UfH0qXsesMepLeWEaH1F9fZZqFf6kdKy+88HzEWSy0i3bqpNO4pr7k4vOlfAUs62Le2l8H06I8Y9ExkPVg98n8rGqzzt68lK/aB9qbeaypnvk0JXjN3gGvlJ15XH7F6LX6bfOpsFWNUalcVRglRYWkyqseUUFdeeXq1USfPoL9KhLyuPVa3svyTGlnRqrCiYR92H4yx5dG6Suqh8oXmWhQ+lQiXkFZxqlwiPktWaXPGL/Xx7xob9JxVMcpXqskdSqUPK6+zuut/dGQ7g/4q+OfkszwWr2iIauLVBAK8rraXsedwnFa21TH1XQWaKwXpZwozvoG2RaqZcrmgYKomlQzFQkzbSojbZEGlq6kyuUvr/DYu6YzbUdLCAAwkCy689+aOOXUOWuddluh5V1zAADvnsxxZ2W/ByHRlem78bIh3pQpDewDf/7VlvmutSVhP1fccFxl0+9mo7wNKZt8vjD2+ciN1jdgyibDMAzDMAzDMAzDMAzDMAzDMDYD9gsJwzAMwzAMwzAMwzAMwzAMwzA2OaZsGoGFVhlGlZNE3XCnqJZUi+D1VjVMqgOYPI5x3RqKvKonh84+hn4++iDDOg8/hmHzZdEOPPLAzXjngdy3XTv3dbQwdFzDrn1eD4KihWqqry1fWSKHz/vqVbhUtEt5Ce29QkKwv/QVljkraoNI2ItSqXbYU3WCEvB7ceP862v2XX7ZBQCA5V0MF4yG/a4WIBJiqLJfou9V03DZN67CTdezXGecVRsSrpqor28GrdNb6TlmilZDNRvDGXn/NxYfPpih679/dOsI933Px2biH4+NXdZ3HcS6pAuejapCOuDTM+GTbqkKqg9+gtfSMOkPfWqmqwxoFK3MQz+oLcP/HTZzlM5J9RWqszCMrQ2di773nfk1+484bhaCG0Gt9L6P81lrSwBDtJBgh4mcm6KiDhprPN1UHH/iGQCqaqpDj57lKjcCMu+o0iaVqch+j6vQGdkW2n6RkNedy28X1ZOO+7Eo61mpADlRKamiqSJznJ6rOqVKxXEVRFoe1T1oWo/Hg7jkXSgxX584QXyqaEmW0NwQkGvWnq/6Iz0HABoT1JsERVmjx0plByVZJ6gqJisR/80Jbr0yhvYNAvU0z6ClgWuXgRQbdyDJ/BIxx1U8Le3kh6KsgZobQnLNiltrba9UpihbFqZcqapEkukihrPdRGpmnl+QcevQKm3RM8i0S7qYb3sDr/PIAze7a6DeAaapyE3qE72Tx7N2z8Qxn2df6x1iO8fCvEZzgg21vLuEAVHdqKpJ27hN2lRXWB4AP/0R559fPjBb6sB71d3Pk3sHHfzzRWaoa4KjjuccNZCq6nLiEb2mKmZ47MUV7GfD9UBHHMvzVR31m59U58A9DpC8RZ80TVQ2zTKH/uSHnBcPPHgm/rOS939IFDPOf/mMqFbJqTho422EWIaA/CC3L93lXrNp3zksT4X5zKjjNZuibONF/T6sSMlA88J3sLZ8TPSnjz3C+n32c6ybz0slE1C9F41xtndrI9u/Lupz+6M+YzpetIrObMq4oqsJU3d3Zx/bRPf3DQEtDfz84kI+XItWss+1N7KNO5p5zYntwxWszGDBEtVysd+u6i0iKmOHjhPKopVs5HDQg37pG9oveuWVXddNxRLQIu8MHc0s86SOiHxnvRdJ3ymXK7j6aqqjvnohn6MJbdL3RDtUcYBeubUxueb5X13z+l0VeNpvgaqmrchmclVj2qdbG4Oufk7HqTpRJa3o9rvl4bkO2pvZdqp1WtbF9u4fYprtJpYRFNVWPKrjgY7HTJPK+uETVZPPx20ur0okXrOpvuT2lViY+eg5XQN8ECoV4M1VvG/1Ua0vt/rup30nGvagXjR5SztF3SQav4a6ahs2JVj3obSvpsw6LheLDgZTbIN/v0J1l/aLCS08Z0J7xNXqBUQHmMmKYljmlKnjWYfz1uK+bquE954DANhvcsl9ltZGCWuMjf1cccMxZdO2j/1Ra8MwDMMwDMMwDMMwDMMwDGOLwdnG/qj1tlSXDcWUTYZhGIZhGIZhGIZhGIZhGIZhbHJM2TQCC60y/td4r6gp/v6bakimhsur+kJ1DIMphruGgh5Xn6DWBE3TUM9Q4b7BAr4tCoiR7PwhKgF27Ki44fwjy7HPR/l996k+RMPM+1bRCl1/FUOqzzp/dFjt1ZfzmBvqL0qIgSTDebv7SxjfGnA/A8BD9zFE/4QvMrQ6HvW5IbxeqaDW5cunMVQ/EvIinWV7fPf2+TVlOO+8c9lOAS/CIZ7fEK/IPpbri6dfM2bbbMuoBuVvv9k04b+fOIz5/2otwov3/xTTVhwgKLGCqkbaVOz3yZn40y/X/xof/QzL/Nufrj4PfXZ/dG9Vx3TsF/i8qa5DdRZ5UY34fR5XU2EYWyOnnDoHAJDJVdw5SfVGb8UHRIM2roknJTOiOZGVsc8LNMb5f3eaE5w3dG64fTXz24ZwmGgNVWui+gpH/Bxap8OPmQWfpImFmUbVg12iSuxNOmgSDY3m1yAakLLO396qdvH7d1DNp22pc1+l4iBfEMeGuDK0DepjzDhXYB73fO9G9/yR5/QPcb5srPe5KohYWNcWpZr6zZ17NubNoxLr7LPPAQBcd921AIArvkF94oVfu9LVEebyzPu2W3hPvnHpBe6l09mKtIGnplwNorBJi9ZnKF1APMb1y0g9ZIi70d0PDIkaRDVWqvBKpkvSXkCiju2clXLl5JqqKrn7ezfinHPOkTKKXkrWKlpvbce6qN9dv2i/zMq1vXLuD++5CTPPmCvXUO1Krb4qmS6PUpx9XtY8mp/f50FZzh+SZyFLA4rblwolB50D3FcWBdFgntsOWec0iPrK4wHGt7AtpouKSvtitsBznnophddWcV99WOYk6R+dSenbfgctcR57K9XjDh/kXNcu5VC9oa4n//PbW9z1Z7bI6+82oVyTxy8e4jlHHDfLHQ+yomP64y94bJcP8Tl9aQAIS4VyRUlUke0Ld3D7jjnAM/P5ea8zawssN/RdbSWEObzgT0tRk084RO9N7qn5o+o7/QOsS7Oon/71+Oi2UWVQRrSlujZQbSgADMnzVxflvVIlzg6TSwgHKzX55Qq8J/1DrHep7HH7ZVDWt90DzKCrl51Hn8tjv3DGMHUbz8nmRT/WxGtPaAsjIboeVRqdc8Hotf6FolZ6bkEKAPCLV1nOaao6ilbQEkfNtTqaVFtFNc+4FlXDAj0D0haiUJvQxhvSO+jId4+rJzptztWjyjOSk788p+baqnTr6s0hKVo9ffdQdDwLBX3usx2UfqEKI1XG6fjfnCgjmZE+KM9qUTRT8Zjo5BLV+xj0q9JP1HeiZ8oXvEjn2HbRUFnKzmMre1l2xwEa4yUplyjdIvyeyrKgC5aEMLGNbdgzWKvdU11eqaxjsYOAaPZy+dp+kckx3/Gtfnf8Dck1VffWLzq6wVQRK3r4OSnms/ZGZrTjFA5GmWwJE9tZP9Ud6tima4ailOuii6/E2jBrNsdcRx6RsdS3Wxvj38Px4iO7OLjnzvXXXhrEfq644Wgb/vu3c7Y5ZdO+H51vfQMWIWEYhmEYhmEYhmEYhmEYhmEYxmbA/oaEYRiGYRiGYRiGYRiGYRiGscXgoBpttS2wDVVlgzFl0wgstMowqqjaRcOKj/k8w8N9XiCd49BRH2OglSoK6qIM0U1ni67SSHUAPxih0DjkqJnoZ7R1VWWz+6ncPn87AKqcVOOkSoJbbmJYrGoZvnZJNbz28su476sScvvZz4l+SsKeY2EfVonSYmU/w3N7sqK6EO3A9HgZLXWsX4eE/XYN8HtEQoeDfqBPyq4KAlUJaDn9Po+rYxgn2oKyhPYOJB1pL++oOqwP559/HgDgqqvWHEo+nDNmnwUAuOnG6wEAXzm9qhT41q0Msz9VNFWbQlGyMfn0EdQy/PyhjaNeOvBg5uf3AY89Mnaeqn6KR6rX/dih3FcUE4QqoX7zk1vwIUmv6of14egT2KcfuGf1miXVOyWiHvcZvfO7VLIcLlqYH9/P8z9x2EwEpIw/+9Gm1VYZxoag+hEdR1Ud9FbPwlvxkUP4nDTEOE57JG5Y1TpeDxWFQFVh2NpEfUU6I4oex3GVJBuKPpsRUf2pvqJca01BMODBXd+tVSxVNUxVrZKqlJKiJQrJcx6QutTHfK7KJSrqp4ion3oHq/VT7Y+2hbZPXtpfXxKjYa97TBVJqgDSugylK66ySesVCmiZRTHS4EdAFUtFVYxoGVS7EkBK6nXFFVS66JogJUqUTK6ICW1BuS5q0s6ew7lP6wYP0DdYlGuwgC2iWWlvZpIlK8sIyvWXd9INkhIl1KT2oFy77K554lFfTRuofrJccdy3r5hocrQv9w+xDHofPB7mCVTVWNpuqrmpVIBMXrWQrM/q1l1AdS1XkRtXlrnK662qmlSXo3PDQNptJqTytf0zINoXaRo0iSonEvQgFmE9xrWGa+rpyLX/9XIOvWmmUdXSyiF+T4rWKVf2oCXMY80x0XDKuu3lP0r99jgNHREu9GKiDqoLctsQ5XZRnw8r8zxvcoSVXviX2vaZ/D6OMY3hCiKB2ldk7beqV1ox6MUrSVY6JHqbnGisUBjktpgCvHJCsJHb52Se3ZPPO0pp7NlOtcyz/dLgT99Qk2aXBn4tOx68luI1d4qzDq11bBNdR+/3yZloFsVWOFirbWtpZD+NR/3wyj7VAwX8rMP41rKc47g6IP3zm0s7VbHDNH2DBSTirJ+OPcs6qdVY1c/8po9jHnd+90Zc9FWqllqkPq+9mZfvfNb6kwWUSrXtrmtR5bzzzsMri9kh3+gSJZnc16hofRIRx71Pi3p5/Y641ov7E7RhYWJbANtN4PVVc7Q2Wibl2itZp4AfWNrJayxZxTaok/6/oof7vV4+F0D1/UlVejqO3jj/ejdvVWtp+6u+KBbhtrsPWN7Fa6kabnwr67LH9vqeUYZfdFOhoOqYeH5J9E6BQAXprCiN5Fi+KHquJPe3NBTd9Kp6aqgrSL34/ZU34xhIylzZwPJkR4wXFfljrp29VX1SlMMDkjLOaA/I5kru+5PetxcX5uSakK0HfaJvUqaNj0iZmejcC6var1tv4PtSn4wzqtJV1VWp7OCSS2s1Yeedx3OuvrraL1QbpmPZlVeu2/vXFsmMQwEA09onoUEUek8/YUrX9cV+rrjhaBv+67dzUC5tQ8omfxjvMmUTAFM2GYZhGIZhGIZhGIZhGIZhGIaxGbBfSBiGYRiGYRiGYRiGYRiGYRiGsckxZdMILLTKMKq880CGijdKCHNzPcNZH/zBza42pkC7gKseUs1CNOJ19U0axnrm3LMBAMVS1T+xopsZ/OSHtSGh7/kYVRqLB3xY9U+qKVSvMW0cw3enSkiu1+u4IcZLVzF8+Lk3uM1wg6Ecy+f3OhgqyGc5R8PyNfTecYAZMYY1a4h+c5RlbmBUPV7r9LrHprfyWGOcO+77flUBcMIXGf5/z/dYh5H6o5uuY8hvKOjgy2esf7jvOeecAwC49tpr15j2i1+ag+99Zz6AqrZieIj46vjCyazL9++4cdSxk788BwBwx7fnr0VpNw2HHs0+qfdFlUTDed/H2Yf+9pvVq4m0n/3uZ0zzqSNmuuHyG6qDOkyULJk8+9yvHx47v4MOnYnHV6OJ0j41lCrjp6JYOvI45hsWzYfG/t9z50343AnUc/zwHvbLo45n2k7RKfxhA/RRhrEtsO9H+cz/+7d8FlRpEw17XS2EakS6Bzg3NNTxwL1jKHHWBlXM6SK8WKoqKVRtERV1U1A0PKrxyRcd1IsOKBgQvY0opHQMSGXKrsYpLyqkbF6/M/9QoKoNUd2Kjp+qcUnnyqiL1KqHVMekaiQdW475/BlVLYdM81r2kpal4CBbqNU4NdUzf50nT/7yHFebdOvNVDR+7SLOlV19ebecPtVClTU/0ToFtJ0qiIRqy14UZZCqkvqHuEgIB31uW+bFt5eoC9aU3XGArj4qA1SZddyJ7CvuvSlU0CAKG1UiaVuqGvGss89BviCeJMG952G/5MPjqUzZbW9VsgymuG1pYN0qlao2RNV8Izn6hFkYStfe/4JYTnLyPRqqqpq0L6bzHgyntd5x+0ipXHv+UJZpExHVh1X1RvEoj01sp5ulp5/t/uqyMv7xGJ+76R9gW5ZFe5QpizIzX73+zgnW3SNPTpOsT/vSHrwkcxocqYSHbdkkrrK+fAGoyKLQL4u5CisRFjeVTqGNAQdtdbX3aJWokupEC1Qoe/B6StRIco/0/MGsOD1L6dHi61cfqP2+0+cAL9tlv2ksl6sxFfaRMcpxPNAltKpFnxBdqK6bKw4wXuxQ+ozsOp35tjWKWqrgQVxUVjHRVw2lpX4RXqBnwIecaLMu/Bq1op85itfQMuSL7DdAtT8kZEy5/26OC7o2e+SB6ppM15Pal59bxuuMr69g9+3YaZpF49Qtz7z2/1SmggHpyxnpG6oRC4l2Kl/y4Lkna9eAnzycZZ/UxvwjolAbrle95pprsLaosmdVd1bK52AgVfs+0N7MMWRAVGz1dX50tPD6IXk2BqSraJob51/vvi8F/MynJA3uzhcyjnX1F7H3zry3qptKZ3XsZtrGOmBcK/P2iVopLOqmgF+eJw/gFe3YYJoFW9UblGvJcx0vIy2qtJj0kbbGQk0+ddECKvL89g/J/RsISrlkbspW5xrVJBVlfpVhGllRCSbqfFjZw5u801SWqz9Zq1rqTzrufLN4RQYAMKGN157Qyuf6rPOrCqZ7v8O21f6eyqhal23y5ir/Wml09R7VyVzyjW9e9VbJtwp23I9j8Lj6ir0bbATs54objrbhPx8/c5tTNr37oBusb8AiJAzDMAzDMAzDMAzDMAzDMAzD2AzYLyQMwzAMwzAMwzAMwzAMwzAMw9jkmLJpBBZaZfyvMmv2XNx8I9UIe36Y4dXP/n608mYkh4uCJhrRsGINAfeiIJoIHWTiophQBQNQVWP4xZ/00hKGzI5r4PGmeh96h7gvKGlU76Th0j39OYxvY7j70pUM5/vLK4zfXZ6REGF1E6AC+EJjV6Ys3gGvHxNFORD2cZuSkGXVR+243xkIyTENC9//UwwHn9LOehaKjqs9iIRZDg3tHUqxPM0NDGVubfRieRf33TDvurHLtxbMnXs2cqJ6uO2WG9Y7n/VFdUCq21AFx+ZAFSgbqlVaH444bhYe+sGan5exzgMw6txPHDYTdRH2OVV5/Ojedc/fMIx154hj+VzWx3yudmcgyTklV3xr3draopq7gqg3+pJVlWFZPk7toKKiMcE5S9WEg6kC8qIvUc2QaoFUTRQO+ZDPcy5Y0cO5LRqu1e/k8o47vqiayuetHXeiYa+rfNI5OJ2t1JxTcpVJVeVPOMi0Ou+nsixLJucgJuVQPUdU5sfv3j4fAHDazDNdy000wjlTlUQZyadUdlxF4CUXcy2ga44B0TCVK46rOxo5H37ldOoTda6qVKh4AqrqSVW6eKWiHk9VpZTNld1rDIdpnJq6j8IDxGO8tzm5R9oPtLyqtnScqk5L77m2vxIIeEbNtft9kvNhkM0Hv6+qaMqKtagrxXr15LkdKnvQKOuaKfUsl/Y5rWa5AqRlPVQf4s7OtLcmTbPoXFamfVDp0fYNvHidLL9iYSnDIPU6QFUDtDzDdhvUZdvT89H27jkAqmuyJWlJXBjg1hcBikPVz0C1E2tn8oWA4iA/iyIJgTqMiVMGKuqvkvxE7xQI8N5Ni5aRkbIv+zvbX7WQK4ZYh8VDaaA8zDkFAKVstTwAUMoAHn0AuSZEUJxL7v8drLjHp8r6VPVErw4xjeqsWmIVfPAdrFdrg5wtp6tWKVuo3oOWBu5UfU7PAMv+j+eTCMgz/7AoMA8+kvXrF83Qn391i6u86xYFjkfUP9o/dhjPtAGfx82vtZH17BJ1l2rX7vv+Te57xbt3p4ooLM1UlCV6zyDwxrI0AGAgJcouKc+/Hq/qq1QFphzw6Zlu3QEgIk09scWLniE2UFgUc8P1UgBw+qy57tio6rW9P1Krtd1hUsBV1bY18Z5EQqqqE6VUsDrmBuT+9QzI8ycaqsa4x1VRDSbZB3X8W9nDwvdLvX1eoFXUbRPbI+4+oHrPfT5gl2lsvCWrAjVpdpvOdiyWvOgbYoOs6hV1lyi9omEdd7xobypKGVkO1TvlC6pj8iEritw2Sds3xEEok2PFB+VeRcNAXZSfc1JfVYRp22g6oKpW6u5nvttPZjlfe7OEtMwLe+zAxMs6pQ+KPuyrF1cVTN+68bya9lFOP7OqzZ05ay7rLOP8XatR4QHA1y/h/PP1S7d+ZZOxcbGfK244pmza9vG/3QUwDMMwDMMwDMMwDMMwDMMwDMVxRv85pq2ZbakuG4opmwzDMAzDMAzDMAzDMAzDMAzD2ORYhIRhGADg6pqANauadv7QGXi5qx8A8OP7x0576mlnuiG0mkYVCbPnnAUAuHH+9bj/7psAAJ//4mwAwH9+yxDramh1GbtP1xDc2rD3vgF+n9gewcCQhCOL9ujVPzEf1U+lJZz49WTVVOeRuOlxQY3bFT2Dx0FSQtcbJVQ5EuA5qyRl0OcgGuS+93yMZQ0xctlVOGTzFTdceDDFtlDVgoZsd/exDqFgZJSqaX3CgOfNuw4zz5i71uk3Nh3NDPnuHeT9mDWbZQn4vK66a3VKqs9/cTbuFu3El09jX6lIW0ZCvDc33Xg95pzJ/jP/hutrzl8bVdNxJ1IR9oO7blqr+qwtqjJ5K44/8QzcK9fV+n37trG1WhPb/PjOt+YDAE46ZXbNsSNF8/TgeiiiDMMgnzvhDKzq53j85M9rx46H7tuwZ+t4GWcKojBc1e+gpZ5jhP6vqP6kKHHkvwY11ftczZGqhwJ+HtT9bU0s76LlJVd9Uha/k2qTIiGek0wX3WsEZW7SUSosaeoiHldLlEyXJC1TqQLKAeDxyDwo47COy3d+t3a8LhQrqIgHwyfqoUxeVCiuGqnqydA6aJucMZtjezZfdo8NJjmXNCU4t/h9PL9YcnDBBVRvZHOi08pXdU6KlmMkWm+/uEsKxbKrairK+SVpE80jHPKhtZGNuXRV7bX0Kh6PBw1xvl7pGqiqhRLtVK7iKpuiYb+0hai7BqlCUT2Tz+dx1w2qfvSJCSqVEZXKGBYD1UUOV/RkRIeSzNcqs6bGmShX8rjapAHRqyz6q8yVe83htlwCvMy8RdQ3YpGheghAIhR2y6G3Ykg0LvFwbZmXJ31YIcqoqaJ6UtHVDnX8/hqALik7np7P7S6fr61wKV397KjrSR4uVSYVhwCvLtREm1SRwldU2SnHX7kPo9hTFKVeVuq1pAcdIwygg9Jui2XNhxfuqB7c+XhuA7Haa/ljVd2UKinKndyqwsnVUPnQVsfrd4sq611tpZrvQT+QzXFfoq5Wp/XMq9xfLjtuv+4dZDlUExYLM/HUcSEMil5U1136rIa62W677j8LK0X9lQjx/PENTJSIMv/+JL//7mejx9WdP8SxMiBt+tHPzMTkcWzUpNzSF17nvYrH2DNuuWmeq9RZKuUolXmtfVx91Oj/czmxhftUEatqvFjYi4Z6PoceeZJ1bOmV94xkpoxnF/GEae+X8V06d2uC+TYlQkiIAUzbSdf6oWBVaxcJ1bqCmup5bGKbvCfkfFi0XNRMomwaFJ3Tgk7ROxXZFlGfg65BzU/aSVRxej8b64P41wssSK7A+kwQze2ilXQmtTYUEQnx+jtP5bOQyjKfjuac5JtHoaRzAPOLllie/qGAWx9tV9VDBfy1bVInXTmVBQry2MVkn6qkAjIIxGMVtDQw0UuLWOZpE5hh76BqsPzue9ef/stO05Jgmqj4vs4++xxEZcz/yuzadyrt26ecOgcAML4t7KrzvnbJlVgTzQlutU/eMkxLbBiGYbw1FiFhGIZhGIZhGIZhGIZhGIZhGMYmxyIkDMMwDMMwDMMwDMMwDMMwjC0Gx/HAcdZsI9ha2JbqsqFU3SUGgOpfcre/eG78L6Lhqt+9ff5an/PBTzA8+s+/ovLi4CP5vTHuc5ULqmro7GfYbVR0EXd/70acKqqHFT089uiDzOeo4xka/6N7b8YRoqipi/A81RQ0SUju7jOC+MfzDFX+wyu85rK/UyWx3ydZnj/9UpQc75gNeERX4ePwJ9HNCMv3iN9BVBRNjTFuNQQ5LZH/qpYCqiHnjaIb0HBkDeMGgEyO+TTV14ZSxyI+qUvIDVWul5DvPongv+KK0cqm885jOPnVV18NALj+Kuqdzjp/7fVOa8vnTmD9fnjPumuOjvk8z41FvG5dVQWiqgvVBni9Hlx/3bUAqgov7UN3fHu+m+dpM8+UY96afG7dyGHS+jzkiw7uEZWUouonr6wnUlkHP/mhKZQMw6iqG/JFjvPJTNlVQKSzHK8mtVPFEghwHIuFfRhMcR6sr6PqYki+h0MqsREFylAedRHOf7Eot8k007rjqteDsnzWcjTW85qpDNP2DJTclwCvqxZheYqijRo+dpfLta8M2XytgnD4H+kLBWu1KDlJG/B7kMxQDVIvCha9phYmFPKhUCzXnOeVAoakvbL5sqvg0OuqikX1U36fB7lC7Vx7y02184SrOHSAimSkc5R6mIqi3goHvfDLvJMvlGvqruqnTK4Mx6lVDSZHqJ+GowYr1TGpqmlAlD8+L1Aqaf24VX2Ltu3jj1TXI1Pfx7lT1yNhWcuk8x73XndnpM8FNB/RuZSBAdFV5tT1JHqmqRGmXZwqu5UOixcqp8aYgixavNK3gxFMiTAfvfbyLK8ty0AM5kuuYqkjSr3KKs1Q1mooZYGKLL6cyohtufpdygq/KJGKKW594lUqpgG/LNBEL+Wi+qRXH8Bq2fHo2msH6txrBeTm+KSmbpsMe9UOSB8u5gYlH22VSvX6FamPKqhUN6Vt4Q1U6+ORDhESZ4zqrAB84WT2g12ns74hMT89/UrWTdNYz2uWpH+XpEPpc+33ebCsm/dmcY9oiaI8VpA+2Zf1YuFfZG2428ncDtdUvdX+4Wx3MLfBuKvL+sxRXL93SXMNZNl+4xscSFfBStpjUZI+3C/9qylSgV/W9FPaap87Hdu09dsa/Whtog4oToOROx6qUu9vz6bRK+qpiLRlUJp/cgd3bD85iEhIla2emnx6pA6xMBCX94qBpK5hpVxyHxYuzbhjUS7v1LRBp+ix3DYHMFme+bYYMyrIMzyhyZF8gXrRZw1lRA/VKu8e0geaGwJI1Ok8wXwmt7MPRsMFaQvH/fzXZ8cDAHoHWR4dB/MFj1u/xjg7yaIVvIaOi6pn6uqruBqukWqkH36PGqVgwEGijtdcuIzPWirDi2VF4zaUKuP5hXye95gRkzrwmN75dBa47Ju170f63uT11uxGMuPBHttTU/WZY8fWqg7nlnl8H8uIru3cCzf+e5ixdWI/V9xwtA3//pu5KJfG8FNupfj8Ybz34/Osb8CUTYZhGIZhGIZhGIZhGIZhGIZhbAbsFxKGYRiGYRiGYRiGYRiGYRiGYWxy7G9IGIbhoqom1dFoqOu9d61e1aOqJkWVSwBw0ikMIw6JtqBBwoGHK6H6hko15x1+TFXVpGh0vIaRq6YgLqqK/7yUw+JO0TKIzuGgQxnq3TPEWuzwQdap4jgoiCOhWZQGQxJa3RzV/D0YzNWGeA/Id1U5TX3fbAQlHLxB8klL+HCpIuHgTgUNMe6rj4kmSvxQhWJt/pdfcRW+dhHDh1d0sU1UUXHpJdyfLwKRkIQqSxj3xV/jscZ6luFbN56Hr8y+GhuT9VE1KeNbGVdfqThuePyMyaL/kBB7vb+dfdXz2poYAp8TLcZwVHGh+pCR4dbrywknsY+ksnr/pCyNQVcb9tAP2C9/8BbPxEi+cjoVU9+6dc2h35uTTxzGZ+RXD9+yhpSGYawNJ395DoCqhkknUZ+3Ot4H/BzAGupVY8H9fYMFFETlp2qfqGiZVvUwTH1VH8fDXaZFXN1Rdx91Fjq+qg5pXEsYg0keK4iiZGU388kXh2mdKqoX8takDQZYhnyhgoqk8YiXwydmnIKooHSNcM4558Dnqx2QVb1UH6u+crQ1h4c3j1tOra/f70U4qJqovJRDFSYlKQswmJK50tWrqP6P34slB8GA1otlVZ3WLaL4G6lwAoAvfmkOgKr+Stu2UKy4+al+RMt5w7zrAAAnnjLb1VSms2W3HCyzxz1XbrWraly4XO6jXCzHr6g4QEY+h8Xqo/XNFatlnvZ+zl91QWbcmWbGfUXVMTnweGvLjn9SRZjYl/UdKg9bl5RV7UO/yqq83PTiIOCLyPXzqEH2q36omB3A62XRCanTRZVGOrUXB4FgA6+RlmuKwqlGaVQeoWx67UFuVaMEVHVHqo7StBXJz+uv5u0L1l6jIo0541A5HgI8qkpz/UvDq1BVQgEoeuIAgKg8N35V2DhAMc90RS3Pi3fW5veO2dRSMRU3rqLJX1sXp1xNq8eyorHY/VRu/RH86nlp5wK1Ow/cU6uUvOGa892qP/Ma89PxZWG3aNFKQIOsOXtz3LdU+lUqn6uWa4cj+Xmkkukdc6RKcj9mHFpVU/lr+wryAwCAcKwVTe/hu8NPX6DGYnojPaaqGMvkge6ktLM009N9vFcTw0zz3yduxi4f4rpt4UqmmdLK7ZA037gmnjyQLMPrZf+qVNgvMln2Ex034jEvXl0p7wji/t5jkuj3RNlUKAJ9gzp2Q/ZJ+w0wfycRRGcv27kifVHHmRXdvPexsAdLO7nvxW5/TT29Y5i2dcTVcSEeVlUfv5crcHVTWRlLBlOsy7QJzP+rF1eVSQ/cSV3SUJr16mgZlHJ6sbyLz3Nnn6j9RA8l9jZUHCAv11BHelTKo2v3IbGR+XweBPxjm8ObE8ykZyCE3kG+R8SjZbkWr71jE9u0ZzCISJh9ZEJrRcrFfLr6WYaRuiYACAV57VW9ogMUzeC08UW8sSw0ZrnGQu9xSvrVSKWuYRiGsXrsFxKGYRiGYRiGYRiGYRiGYRjGFoODbesPH29LddlQTNlkGIZhGIZhGIZhGIZhGIZhGMYmxwP7BU0N+pfc7S+eG0aVM+eeDaCqJFhbTjl1DgAgLCqIlKgkSqIviIS9roZBFQItjQwR7h9irPFd370Rx4tCKhJW3QDzX9HDmNxxzX5XL6Ghzyvl2LPLGUe8Ms9z414HfRLK2yYR+/0SclxUF1SljESIAWRNoj/Q0GPVDMQCDvKiNwh4ec3WGNPmJb+GqIOoRP1qKHVYQoJjYW5bGliIQMCLq6++BgBwxTcuYHm0nSSPZKYaFh2PcpsV3VRbEwt2ykzmsb588zJe+6Jh4dvXXEEtlF577nm1oc+XXHw+Lr2sdt/1V/EcDWG+5NKrcLEoqTR0WhVV35DvV19+Ps77Kj9feyWPNSfYpieddo17rRhtHzj3Qqa97OsscyysIelsk7qIgznnjA7TXhMXXshrR+UedTSXsWg5+8/lV6x7foZhbLsc8/kz3LExJKqeTI7jVmM955FSyXE1TGqu0XlM58V41OdqCTWN5qfqu1ffzAAAmhMBd87UOS8r1yzK92jIC794YwaSnPRaZX7Niwqvf6jsXkvnm7oor+n3VfU9OofrNZobWJ6J7aogghyHO4br+N4ixp6A6Fbi0TKC8jlfYL49A2zAfll25/JlV8mXkUlX1VIBqVOx5CAk+iRtA90WpC5+b1XjpPXU872yQ5WS1193LUZy9AmzatrC66lmpOW77/vUVanqMhbx4du3Uc+naxePt1Yv4/N53HutuPdRdIwDojXxABBLFfJF1ULy+3NPVjU8He+m5qazKOuk/7IMTaJj6suXgOdG6Pl2PYnboNykXE9VFeSngshVHBXl5nj9VX2Qpq2oX0oWSF55ILxhuLojPScg1yoNe8fSa2VX1pZPtUqVYepGZ4Q+SV9jK6VqeZSR5fF4q4og1TGp9ki1TpURyqThaR3NLzDsmL92n9t+XKhMjThYnBTdlGqnQg2S37BXcNUaudUq15arlBldB7eekiYQAwCEI43Yt537DngnVTYLl/F87a8AMPcsru0LBbZpzyDrnhZt5bI+D94cEs2oFDUva+FiSu6VU6nqszaE3U6WOsSREI3PYGbI3QcAeIaKsQ98YiaSolHNyXr71T/VajR3+dAs1IV0XGCaeER0dHLLVJfW1lC91+UR3WtVH3cs7fdiSNaW+0zmvTlwX7atru87+4EEbwHSYrRytW2ifvL7PW57q6IvmeZWVXM9gxVXx5aRLqPvFaUR5Xvpjzdjzw/PqinH00/U6rkAoOVdcwAACXmnkeEUB+3J+9vaGMI3L+fY/f3bzwEA7LtLJwCgIU7l2ECyDk/8azzLnPFIHZiRzmOxsM/VVSXqZCwTvVadvLeUpWv7fEBLghXt7g/ItXjwHTt2AwAGkxHkiyzjYIrjQTzKc/w+1iUaKaKnnxdd2sXnLifvRqq+u+Ci6tr9yZ+eDgD4xwvsVz0DvObeO6laz8GiFbzWhV+rvgsZxrpiP1fccLQN//abuSiXcm93cTYaPn8Y7/v4POsbsAgJwzAMwzAMwzAMwzAMwzAMwzA2A/Y3JAzDMAzDMAzDMAzDMAzDMIwtBsfxuLaKbYFtqS4biimbRmChVYaxcTjl1DnoG2IYbF2EwVgR0T4kJbQ3malgxiSG1+YlhDks+gQNb77pxusxc9Zc5hNjSO9VV10NAJg1e66kdXC7KBI+dcRMAMBzompaIlHuGobv8YfgZLq4zy9xxRJyXxdiWaK+aj00rFlDobtEpxDweTE5wnp05liv6fX8rlqGigPEJGS8QcK4VdWUqONFVAURCfsRCuo+pi1JWLPmFwx6kMkxPw01V/1EOFgdylVltLF54M6zAABHn3T9Op97wQXnuXYCvX/nnnsugKqWZCBZQEAqFq/jPZnYxn6wNiqqe79D/cDxX1o3tZhy2swzAQAtjdSRjGthgb8y++pRac8+myHt14nmY+5ZZ2Pe9Wu+7iUXU2OSTFGn8OYqxuPvOJUdJBLi/fzaJZs3THzmGXyWVO2impN7vnfjZi2HYWxpHHEsdRiq28sXOS5URJ0RDXvQWM+5qSKD3LJOzjetjRzM47EASiNcGzfO5ziqasPv3j7f/ZzOVuR85lsccW7A70VAJoYG0UINpThhFIplt3yqC9Fy+eS5Ht8WduukSgodAwoy96pasSkRdBWKqhVqSgRqtuNaZE5Pe925KShzUj6vag/uP+eCq3DTdRwHp0+k028ozTq8+EbAvY4qlvoH6dzQGU7nYi2L1hWo6qo0zXAjjqudElVSeURanUsBYCDFND/54Wj1iaI6Jr2Enj/8FVM1XVpWVVSGgx53bVGQ/qRbN620V88Q8O/f1qqW3nkg++R/h6lZpr2f5VHT1ut/qVXYYNeTqnqhinhgiuKFUoVQMTVaB1RMSYaPcLv94VUtkU98kvpddUqqF/IGRiuWNK1nWEupxinfJ+UrVs8HqDrSa41SNgkLflz9vP1hko80omqZht8dnyqW/GPn65SrZdQ0I/VMzjBNlOqh5JxwuB4AkCuWhimjRnTMwlB1v9ZZUb2TXxaPqsUq54CypFWllbaNEoi7ZfT4WGZVeCnvOmimuy6tk3Wp9ncdh/JFx10DTH0flWCLs1LfpyW/HY8GXn0Ab8l2B3P7xqNvnW4k2x/O6tRPAgD45GnLPTUf49/D8oyr432LyHijKqdiGWiKcV+9LPVVx6Rr66DeRgeoj/K8Vf08pyclajb5oVF31oupssafMY7nTR0fkfN5TrnsICAauT4Zt/Q9qLWB96E/WUJfUrV6teXKyi0fzAID0s4h0Vc1RUXpJrd+SN47OnNeNIoCT16jsOIfteu2Hfc7AzFJ0y/tM7mRiT/6LmqLLrr4Stx0Pcfl7Sfy+d1jh2UAgEyO88Uzr3bg78/VyjVUqReLSj+rOIhG+FkVUA99n3PLbjP47lUq8XnYff+78eyTJwIAggFW7OVFrQCAzx7P/vXUb7+IeIyalqEU27uzjx13wVJ+H0p7XN2VaqJmzR39HvTz++cAAP7yLJ+brJRd79m08dzmCh4UZegYrnoaia7nRyprDUOxnytuONqGf/31Wducsun9/3e99Q2YsskwDMMwDMMwDMMwDMMwDMMwjM2A/ULCMAzDMAzDMAzDMAzDMAzDMIxNjimbRmChVYaxcTj5y3MwmGY4rEbC//h+hoPvcQB1A7GQgz23Y8y0KpdUw+QX78MN86oanFNPo1InHpPQYBm9VJsDAMd8ntqCN1bxot1p5rNwUMPd89XQdy/Ddg/akeG/vUmGMi9N+qCGDDEsIF3hMbU6hDwOWkOimZIo/rogv8clPLxUBv70y1rVwkGHzpQ0os5oZf2T6bKrbGhKMMNbbppXc+6s2XMRi9QqPOpjDH1W/cNYocP3fJt6obZGxoN//MibRqVRzjuPGqWrr16zImlduPyyC9AQZ5lPP5MKpAsuOA8AUJHCh0Net/y3zOOxmXNrdUk/vnsuDv98bbu8FV+/hCHVGVGg9A7w3n/vO/NHpVVlybgWxtGHRAFw9vnrF4797ZtYh5woS2LRCk4+feO2q2EY68/BR3I81rlEF8SqAPJ4gFCAz6+qfVQLpLq9WNiDca0c9Mvi3lAzSypTcr97ZKdqlFRhqGlz+Yo7tyXqOM77ZcIZEGWSqjDKFQftTTy2vKss+ZZq6nbbLTe4GjrVO6m6qShzTV3Uj8GU5B3mXBIO8RrFkiqgKsjmWK+QaKv6hnitZlE21UW5DQY8rnYuIKqRrIx/OZlMu/tyrpIqLvPXztNCUm9es2/Q52pMiiWen5Jz9N70DeZd7ZLOf3ofdU7x+z3I5GrvSWGEGadYqmoQ9f7nZImg34NqOqoAv3qYc/qRx82qSaP9xHGqearGScul+xviPlcdpYqmsmhk9JzlvTz+x19U1xAjtUzded7XfAWYEGH6oqxVlvxtDN2eKHBcVBO08Gej074Vmo93hO5IVUaab6VYVRqpLsnVMQ3TKAXEHaQKKU3j6p28wzRF6tmRa6pKajjTD6m9hnfYOW5ZR/wZRdUeqSrJ46lec3g5hqctZUdrq/T/+qlqCQAqudq8lVK2WhYtl3stX+05wxVTbvuOUFLpOZUiMFJt8Va6pB2Prp4HAJF2N789mvixPsJ+unyQ5Vv0V64jp75vNhYPyvtytmftr7kehPeeAwCo8wF7T2Dd9dlPSXULMl489bub3XeNeJiJdG0ekqbU5zxbqO7Lyr6+tKz59ZZ7gXENMm7K+t3VwOWqui9VB1WfeW7LUtCBNJCRa0SDeozbziRPLjtAXNaf+i4Sle9hKadqp/7ZHUCjT94d5J2kIGNAYZj2tVnGB83nXTux36o68O5vn4PpE3gfd5hCVdPyrjYAwJ+f4fb1JUV09rHw2u4jf4oUj3qRzde+y7x/T9Zrzx2obEpmqICKhfPoGagDALQ0UA3X2jQAAKiPcfvSwu3RO8gb99IiPlPatqms3CNfVaXY0iB19tUWbHJ7zlUD/vtFVbFx097E/WnpQ3vtmMehx9UqzgxjfbCfK2442oZ/+dW2p2z6wCdM2QRYhIRhGIZhGIZhGIZhGIZhGIZhGJsB+4WEYRiGYRiGYRiGYRiGYRiGYRibHP+akxiGYYzmhC/OBgBXO/DQD26uOR4KejE+wvDxwVStSuK5Xgmlfe4W/H2vOTXHXnmT4cCqNBpORJQS2RzjkJd1FarlOYkqg6xoIaa18/etL7zEbV2IIcKpPLBzaxwA0JnhsccXq0qA5RwfcdCVl1hnp7bsxedv5xZAao/TAACJEOOuY6KmGA9RVTke7PdJKkFU3fT4I7UKJ+XEU2bDL9H2QYkRP/dc6pP6h1hP1W4AVdWFVzwijsRPf/OyC3DRxVfW5H3Cl6+t+f63X30Z7/vEt2v2/eiuswAAR524aZRCXx1Wpnu/czYAoLufZc+KdiIYcHDFNy4AAHg87Fd33Mo2GJRQ9rTc+7XFJ+3TEGd7XXPNfABVNVih6ODboguLiQ4lGlaFFLfXXHE+egdZHr0Xqh+553tjaDGEtiamHUgy37bGAh78Ptv5yC9cv071MAxj4/Pog2OPxwd8muP2uCavq03KF0SJI0PQUIZjQFujH8k0n3VVDebElaGaJp+H6iPu4/mqXxpMUpOSzFYQFuXGxHZuX14kWsBQrZrvyitrVXYANYlAVVcEAKEgzxuuPgSAs8+mxu+6667FnDM5JuVkLi+LpkbnFjhVxZ1q7bxSic7eYk2devorbnuVRE+k5+qaIeDzDFNasZ3eWMZ8dt+e5W1uKGPRCn52xM8RDqrySvVRXldr+NnPUc0SkLcaHfcHBsquQiUj5htVsygB8R8NVzY99kjtemYsdA5QRVVV6VVViug+VYOIrQvZfAWhgFeuy8Qe0bfo7RuualKSRZ4zWGaGxWJVAbQwL+uEENc3qnda1L2KCcp5oCxrpg1V6Sz4MbfbHTziQG71+Wtan3pqCtXvL91dm0bPd7+PoWVaG1S55I9yWylW1UiqO1JFkuqTFI9vmIZJcM8t1J47HK8s5EqinyoPy1eVSsWU5DdcK6PeMekk5Qy3I9sCAAJSH784iALx2nJV/FXVk6ZRjdVYei5tiwUPjzr03E7H8kMhWXPtjnfzed6upYx4iCqdRcl6AECq743aMg/vD2PtWxNyTi65AgAwpaMDT6/gw+73sN36inwm6qSJZ3zgDLTV8365Sj7ZDsitGRLlz9NP3IyJ72V9JiXY/il51oLyfAZ8wLI+KXqSF1Fta3sd00RD1XEmJiYvHX+6hqoKKJ1DVN2k2tdG0SqVKh4k5X0iIPUplGrr8PqgjI8VB32yryz/z3RQtFV4mmvb6R84wx1XdpzI8yZ1cCDUNXZbQw6xCAv0/IKpAIDnXqdO6amX2ReH0hVXTafKQtXQqTJpKFN2yxoNsz5vrGBjbDeR72EtDexLQ6kodpiyUtpJ7xXz/e5P3gsAePa1rKuACgb4LE0ZJ33ao1pAB/2i5W2o47VaEizErtN7Wb58AItX0j9WKHJcaEpwLBrfWpL9bD/TNRmGYWw+7BcShmEYhmEYhmEYhmEYhmEYxhaD43jcX1huC2xLddlQTNlkGIZhGIZhGIZhGIZhGIZhGMYmx4NqhLKB6l9yt794bhhvzVmifLj+umvHPH722ecgmWEYbDjI330+vYCxzEsH+H3RX28CdjuZJ/gZ8j1dQp8/sTcDuG6+cZ6r11EFhKp1htIMu61UgIBoIiKitljezWt19muoLy8T8gMNdbz+i0t4LCfhxdu18fsvFviBkoTL+yTu2g3rl1hvj5//ALRIvLWGdseD3DoO0BRlGHJcIoxVyyRmD9SJmspxqtoLpbWRhfaI7yEQ8LpKkJDoK4ISPl0QfcRl37wKv/oRQ88/cdTYOqF/PnYK0hmGKn/40FvHTLMp+cm9ZwIAXl7E8O2C3tcwcO6FVwEAbrz2fABAPMb2W7SC9f7GN69aY/7XXcVzzz5/dNqbrucxr4R69ye9+NoltYqr6+X8s+T8e79zNrr6eI811P78r9bm/e2bzkNrI0PGp3QMAQD2/uj3AAC/+CHvR31dAf96MQEAyBdE8yF95oKL1lwvwzA2Lx87dCayotXoTfOZbYtXxyugVkHUKGo4nY8yopjLFx13X2M9x5KqIon5+f0eNCU433Q0M+2cczguXHghx6Qrrhg9TnzpK3MAAKt6OZFpeeuj1QmlIqYZ1Ux1NHE8jYS8CMn8PJDk+dtPidbkn0yXMTAkc634QtqaWPmrr6Y66qjjqUwaTDuIyNzklxjseIT56zgf8HvcNUE8JnOcNGBY9EeVCtBGuwZW9XCrc7i246qegqvByolOqz7Gi2ZFuTiQKiOdlfl4RLsFpXyqn3Icx9VU9SaZeixtkvLJw2dK2Wv3/+Kh1Z+jnPzlObjj2/PHPKb6SW2TlX1ldA5KubJst4DMG4sGRP1TygBeaSDVCoHbRLwdADCY6gVevneNZXtbGKkTWh+tz1jMOLT2uy9U1RMpXukIqnVS1VEpU92naSqF2nPLxdHaJv2u1ykXxlBQjajXKPXVGGmGo/XSawWo1tm5leuLilNV+/ilr7TKuPXPlTL+lIFpsr5StdjCAVn3ahusTX/Z8Wi0NXQAAIakyrm89kvRVb1yXzX9htzbHY6sfpZ3BleJpf1f2yTY6NavQTScbfXctjcyjSpeuwYcvNotWjxZb08V5U9XivsXZ6o/MvF4a+95o0+UTX4HGdElNYrOqTPHtDL8ocHvIOLXdwSmjQaqqiYAeC3lxUQp87KsKmWl78nzHQjypaJYyLpaLrHAoZjnzy9U3zYlUkZ7nOdNbmWid+/Ovt3exLF9QlsGryxm+q5+1rmnn9dc1sltvui4a2DV6i7tqSqtAPY9nRt3msz5rL05KFuevN9ey1nOkg/BANs54Of2zke3Yxl685LGwao+HquPsuxtTQEpM7deLzCuhWl2E0VTJsdr+kUFtaQzjt/8TfpDnOeNa/FJeTjJ7HPQHTCMjYn9XHHD0Tb88y/PRrmUe7uLs9Hw+cP44Cevs74Bi5AwDMMwDMMwDMMwDMMwDMMwDGMzYH9DwjAMwzAMwzAMwzAMwzAMw9hicIZF/m0LbEt12VBM2TQCC60yjHXjkoupkoiI2ai7nyG51193LU49jWqeZ99gSPDfV0lM7zPDVEJ7nMath8daRLl0wPbMJxL2oqOZmZfKDLctiJ5B9RGVCpCQENzBJK9VrvDYQJL5PHTfzQCATxw2E031opAoMs2Sbglpr2dRnlzkR0rCklGWMOlsl5RTAss0XBxAINIAAAiJBmh6PU/2egApMqKicUqIAUCVTcMHYFVdaBh5U5yJmhL83bHjVHVVJdF81MfYXpdcWlV5XHsl78k5F9TqPf7wM7b1/ofchv88TlXW+oQov/Tn4wEAu3xww/QPI9VS37rxPKSzqt5i/ULSbieffo173t3fpi7ML2Hyx558HQDg4Xuo9hpMsY2i4TLCEjb/mWNvqLn2vx87BQDQnwyjd5Ch3Z/74vU1+U9spQrgwM+uXsHxvVvPlWt6q4qSaLkmTTjIMtRFyhjKMFHvgGgTpHs1J5jmi8PqaRjG28/7/49qHn15SMjQ71czi1Md5+OiSdKxPC9zTDLjIDDivwAFfEyTkzS7z4i5aiVVIb0VBx1aW66i6FJ0bpna4Xfnia4BjkmT2liIcFDUUgGvq5DyidpFFUSlMj8k02VXZXTllWOX63MnUDO0tKfi6l/GNfGDzlHaFqWSg92350SoCsOSDJl9g/yQK5TRGOe4PKFN9XqeUeXSumfEu9jZW5R8pW0LjrtO6Bpk2r//ZvXj+Uc/wzb97U9r02gfiASB3/1szUqm1XHKqXMAAMGA19VNRcM+qQPr3il6kkcf5HU+fPBMDIguTPWSYonEfztFV1POAxXW3VUFueog7q9rmIKotHdXVjuLZPT0/PWu01bFjENdvZHbXqon0vZS5ZU3UF3nOaXac/QhcZxqeleVJZ1S74PjbLh6aiRr0h7tciJQlHdYrZfqR4MNAIB92xwsT7JDrOhaNHZ+2x28bmXf6XPcRqgJQ7aTW11HL3h47fPS649VLmC05kvZ/nBu/RG3zm0x3vMOWZslIrxHOlb2pj14foBtUSfPSKowQs9VKUE1aO69LqZq0zgVICgvEj7xFqmMQp+1cqnan/SeqNoqIC8IDoDSiLy9QUmbrs03lBj2IiEftE9LOaclwhgnyqY9p/NdaY8dmF9E1sjZvBdLVvG0jIwPq3rZBv0p0dFGPOga4Oc//4rjU9O+cwAAff+eDwA44NMzUSdVb21gYyYzvMb++7B+79qlj+cmknBEkfWLP08BALyyiGVvbWLbvPRGGmGZT6Nh1nliOy+w/97Uo8ajeSQzTF8fo9IlV2A9K6LBWtEdxbIu1rlOVLqqTp05d83zrWGsD/ZzxQ1H2/BPv9j2lE37fcqUTYApmwzDMAzDMAzDMAzDMAzDMAzD2AzYLyQMwzAMwzAMwzAMwzAMwzAMw9jkmLJpBBZaZRjrxoUXUg+k6oWuXobb3n7bDfjil+YAABYsZ/jvikH+DvT1FMNkp8UcLPrrTQCAXfefBQDYvp1D0qurmHbXCQ7iMX72Spi8V36VqqqD/qEiggHu7B4o1ZRvYhtDdG+9eR4AYP9PzUSIkbzISkT2az3MZ1VWvBFOCXUhhgSnchnuk1BqiRhGTqPzAXikXBMk9DkumqF4qOIqJTTCPypR1/EIt2mJrP79o7e4uoiM7Gtv4EmxMLfhUPV3yKq/UJ2VHrvsG1fhq3JPWhqY9sxza9VNf//1lzGUUh0GQ557Bqgm2P+Q2wAAz/z+JLzjw3fWnPfUb78IAPD7KzX7M7kg/F7u2/dj38Wm4Md3U8d0+OfnjTr2j998CQDw5so4ACAg5fvs8TfgNw9SJdKcyNaU78U/nQAA2HW/e/DYQ+x7uQL7wSHHzl/t9ZVomH1l4XLeyFlzq22sGqemBPUO3f3scA3xMsrSxVQPpdx5G8856TRTNhnGlsjHRJGk+Ib9l56EzFEOVEvE/WpLCfg8rj5JUU2RT+bOD74jhjPOrh2rDz2aY9PrYj7ZcRy3P77/ZjfNxz87U8ogmihR/u04NYY3lnP+amsMSJmZRnVBiXgQsQgLGfDzvMZ6bjOiz8vkPa7eMJfneY5MbFnRDA2mWGGPB1jWwzQNUp6K6BPDIX7fYXIMe2xfkGsybSpLncl/X/G49ZrUrroP7muIMx+1pZTKwKIVzGdIHIt5qVfPoKR1gAE5/6nfVdvs7UKVTcPdwTp39w+xDVV5de9dN4063/NOajCdsnQw1beUs0BR1iqqgXH1Qsx/j4njscdUZv6DMfL+n0E1QF558Dyr+b95Cx6uaoG8otsZqWca61zRj7rtP1IptDFwyyWL2YCopV66e3TaPWTcKsk7rZbdHwOev33jl21NaPsHuV7DK/et/Tnrqr7a/jBuw63cat21vcpyj4qDQH5w7Dx8geq5rgZtmI4LqPalSrlaxtX1neFpZhzK7euP1F5z+iFAqEG+6DXlhSXSxq1qnjzeann88mIhfa8pxHX+uFgZrXUs627TuC9ex3qlM9Wxeygt6rs+jqeLevTdS+a1igdtdayHKpumvo/q1QkJnvPXX9+CI47jvPXQDzjmHnEsv+82g+1+6AF0Q2VyQSxdRZ3WL/7M83We3GEK37k+vM8glnXx8+vLWHade1saeE5dpIJwiJ+njuM7Tb7Ids/Luv6RJyPYbgLr3NrIeh4julfD2FTYzxU3HFM2bfvYH7U2DMMwDMMwDMMwDMMwDMMwthgcxwPH8aw54VbCtlSXDcWUTYZhGIZhGIZhGIZhGIZhGIZhbHJM2TQCC60yjHXjrLPPAQAk0wwRTkgYcMUBVnbTPfT4y/zdZ09OQo6foxao7d1zIDYHfGoPfoiKE2kgqQoGx9VhqNqgWGJav8/jXku1ECFRN3X1szz9Ke5fMcC009scBP2emmNDEvm8cIBBY5kKEJVf1/ZJRPcuEo6s6qVMsfqb+v6iqJV8zK81ypDmYhlor9ey8jwNNVYtQ1miuB975Ba3Tff+CMObG2O1w3MsXFVutDb6a/Jpbwm5bXLRxVcCAC7+GtVNqtXoaGYh8kWPG+o8qY3hj1kJa/7s8TcAAJ598kRUKsx8rwOpbnryp6fznI4+AEAuz/Dp/qEoPvjpb2Fz8czvTwKAUUqpjc3tN50HAOhoLqCpnu20n9RTVVBDGfb3I79w/ajz7/k2n40Tvnztaq/xywcY7v7Jo2/cSKU2DGNTcuDBteqmaKg6L+y9M/UTGXH6rejiuOHxelAf4xj78mLVFfEcVfI9fP9opdC7DuK1WsRust87mf/5X62qnU44iWPRPXfWanhmnjEXy7s4gT3ywOp1Rd+5mbq49qZCzf4XFlL/kS86iIgFSHWHAyluF6/g5BkOsg6DqbI7v2byOifzezJTkev4sf8+rHw2zwkxm+O2k1ML6qLA8k6WZ9oE0XT4asvdWF/G7/6Rr7mWGlR+8kPW9/3/NxN//fUt2FI49TQqlzwewC/tpCpK1aWURVnilcm9b6iMxd38/Fwv5+2EqFgG/z2fGe9yIlARlYGqm5TYJG6f23LaYYtCtTkjGa7WWGIGvAABAABJREFUUVTDM1zVpLqd1el3hrPHadzKGvgtUd2Q6nhCTXJtD+AThagMIp/drVajef/d1bFg/09xDHm6k2kHc9JP0ivWXYG0KdB2q4jDbnOWaX1VUBvr/LfKV1VRoUZuy+JyDTZwq5qoUg7wyGSiWieHfaatrh4AEPY5aBClbFDUfDtNZB+uqMHL70H3AO/BKnlf0v+/q/Obz+vgX4/XjiPv+Rj7V1uC38NBDwIytuUKtXPA5HGcU3aYzP2LV3rx2QO65DMzKJWY9pU3OelEQw66B5h+iigLX1/CQgfkfW+XaWWMb2G/bqznnKRzwatvsv2e+FcJB+zLdjruFFM1GZsH+7nihqNt+Mefn7PNKZs+9OlrrW/AIiQMwzAMwzAMwzAMwzAMwzAMw9gM2N+QMAzDMAzDMAzDMAzDMAzDMLYYHGxbWp9tqS4biimbRmChVYaxbhz7BeoiVEXUEGeYcaFYwb9fY9jwU121w4yGme/eVEJQfi262zSel80zFDcleoftJoThk8zTWeonSqJsGkgx/1jYh6Xd/NyaYNp/vs58IwGmbYhwO7Xd64YRr+rnNp1niLCYEvBsnw9NEi09sY4hzG2iXnpulaiS4KAiAc1SZIhRCmFRNwW8DoqiPYoHmagxymOqamqMcev1Ar94iKHQH/0MQ6BVj6G0N1Z/h/y978wHAMyaPRcAkKijwqExDqREQaWtnpf6lkq8aDZXxi03zwMA3DyPWicNb25tYBt3NOfg9zG9T7aZHAvU1kRfR3cf9SEHfvbtVUH84zdfAgBEQiz7ngfcBQD452OnIJ1hu3z40FtrzlEd06lnXL3afB/6Ptv2iC/Mc3VVHg8bav9DapULT/70dBRL7AAHHb56Pcr6oGUNSL8qSEj7V2avvuyGYWwa3vdxjs9hDi1oTXiQzvHZnDGRmol4jGPl0lUcjPuGyoiEav+Anc5DiTqqNzqaQ1jWyXD0RZ0cc3ecyGNBUV7EIpwDymUHry9TXRHzU63Gkz/nePzpI2aiOcHzv3/H2ivhfv8Ix7qlXdTC1EXKKMqY05/k9YdS/N7Vz/kxk+X8m8lV3LIqqlpMZ5j2nTuH0dHMsXrJKjZiKOjId56zw2TH1TnmC8wvEpJ5P8n8XluSR+9ASa7BND+4q1ZbtbHQOTkSBB59cN3nu+NP5Drp3mHlm3vW2QAAv6xvHJmEr72Wir9TTp0DgH1nQNWTg6K2ynDbp8qm3U4GCkP8rDoh7RCv/HCdy7vVs4do1bQN8uICe+W+jZO/qpsW/mzdjkm5WsJ8jnr+NX90GtUA+cPcOqLpaqB6azCbwvsm8lhUVGoFsTq90MV8E8EKukWHlvqPXGP7w7mtFFdfvo3FplIZ/S+hyi4/x2FX2eXIy4P0C3iDQClT/QyM0rNNft9stER43rhGjiXTJ7DzZPPMp1B08NISfl6Z4ryhY7BqaLszXqwsyHj1X+pdDz2aitl8kYljYY+r8IuIgvc735oPAPjJvVTWLVnFa++6XRozJlHZ1NlHZdPfnm2S/HjtnoEyIiGW55uXV1WFAHDDNXx/2XeXATTWsw2G0tRCvbCQ+em7TTDg4Aunrl6fahibAvu54oajbfiHbVDZtL8pmwCYsskwDMMwDMMwDMMwDMMwDMMwjM2A/ULCMAzDMAzDMAzDMAzDMAzDMIxNjimbRmChVYaxdlzxjQsAAIuWU0lREt9RRwtDyZPpIn7/LGNuB/K1v/ucnGBYcH0UmNjCUNxAgGleXMxzVGk0sdmDh+6jAmf2nLMAAL2DTKMhwpmcg65Bpu/PMp+CqJISIWYk2eO/T9yMjxzCsPnf/Yxhze//P35/uYfh7n0Dy4ByAQDwwZ0mu2UFgDe6mdHL/RXAy7InRFExQ+oV8rNcqbwHb0roc4eES9dLeSISWe3nYfz+0WqI9X6fZHkCciwv4fit9R40xHn9u75LBcfFFzFkOSgh0h4A8RivX5E2TGV57KKLrwQAzDnzLNTXUSly2TcYAn3lN5lPXJRSE9sLSKZZgOO/dB0A4IE72f5Hn3Q91ofHf8zQ7kye7fyZY29Yr3xWx+9+wnZrjLNPFss+vOfj31nr8xrqGAq6z0F3AAD++stTAQDv/+Tt+OdjpwAAymW2//s+8W0AwH8eP9k954+PngYAGEjy5h5y7PwNq5BhGFsMnzyc40S3mHFUBdEQA6Z2cExLipZIx96I6Iq6BspIxDgOj2+lrqK7j3NMfR3PLRQr6O7nYD8k2r2p7RyDe4dE2yJ6p0SdD7tsxzF8VS/zXbKSJw2lefFY2OPOkT+6d901ct8WVVwoWHHrmpW5XOun5ESr1N1fwWCS83M6W66p362iCQSAP/38KwCAX/w5Lvmy3h7RIA6lS/D7ZE4T605O3IglMZVUHMctl5ZnIM0dOrdvqVx1+fnoFt1VNse6B/xsW5+XFS6IYjGTLcMjjdAzyLRPL2U/yJW5P1MGUhlZBBXl3WXBjzdxLbYCduccDp+4jXJdoxVWG0svtCH5bHcw4Bvh6JRnYXr7eADAXpPZt59Z4sHrgwVJwj7zrg5u//W49PtdPg/k+te/PJsS0zmtHTMO5TZQJ1uOlYEA+3IxLX47j9/t34kI06p+dnKMY8yERgcTWzlmtDfzHe3lRWkA1fGmZ8hBf0bmEnlviXiZkSRB0AuIMddV005p4jjVkmAiv8+DcJD9UfV9E9p5zffvwcmzKUG9Uq7gR1ZUsL//dz2vKaayd2zPNPvv+wx+9od9AYx+9/j7r7/MsgSLqI8x/YruRgDA0k76cLebyGuuzbvAuvLdW84FAJwy85qNnrexbWA/V9xwtA2ffPTcbU7ZdMDB11jfgEVIGIZhGIZhGIZhGIZhGIZhGIaxGbBfSBiGYRiGYRiGYRiGYRiGYRiGscnxv90FMAxj68TjkVBeieVtFgVQscjw3XS2DDEQYFwd901oEpWRRNwlYh4UJP73zU5qHv6yVNQNgQgTdQGfOoKqjJToMFb1Mb8GUWAs7vFgmeiFFIkURqbE/bu3M9+TvzwHd3x7fk1aDUfu+7fsn3GoG07+Zy/DpveaMhEAkC1K4uIgEGwAAAzKNZYnWeG9JrKcHY3AhAKv++JKpgmKhiIUYL2zBYziT79k2P1HP8N6t8SlnN6qymp1eDyAV+6Nui7iEX7/+iXUMpVK1VBq5YKLqG761o3UdOQLXlfVpLz4xkilwJp56rdfBAC88EYTDjr8WgDAr340e53zmX8tyz7nnKtWm+Yjn117Tcc/fvMlAAzj1pbo7IvVpAn6eR//8LPTUCiwDYNB3s8/i3Jkn4O+BYA6qg8dvO5aFMMwtg5aGziGez0cF2RoR7YALFjGL3GZtjJ5bv2+smyBaRPo/Vu0nGqJJV0cUxrrOAnEwh40xHmNvHiJVIU4YxIzvv66a9dYzm9eRp1iuexgedf6h7f/8i9Uemw3IYS6KMf+cS0sTyjIreqU2ps4f79/zzSeea0BAPDGMk5W+QK3Xzn9TADAoQeU8LfnONau7GZbqIapKOuBgN+DvBhlSxWZz2QTCanSqHr9B3/AsffTslbY0vngOwbc+eX5hVSMqPZqWRe3867gXHf22eegKPomnyxz9qywvyVF7bW4z4dUuYFfvOs+T2+zPH/76H3bH8ZtuJXbwkDt/jL78lorhVRBpJ1xhyMln3w1jaiV8PojY+cx/Fqq6qmwfyzs6ZWtHC9lqmV32A9e76eq52OHqrbSg+eXUIGzrHkOAGAwy2cNeeaH2EQgvZyfR+q9tj989P6NpVoyVdPaoX1l+iHcFqgeKoabAQCJeDsAwAcgKGqlifXsD3ViKKuT+Wh8ix8lGVuff53j+pB0hxVD7LeDBR/88u6grwcDJX7IiQI37HXQEWKaCQ0ck54Q3exxJ57B8ng9iMc4UDU3UF+69468ZlsTtSTlCp+HwWQY3/858z7jc30AgEnt7OhdfQ0AgF/8aR+8JO8e+g7znl1Z+LxMwk31aaSyrGxdlM/dB/bqBgBM3nvTqeteXsQ2+Pn9cwAAnz5m/ia7lmEYxraK/ULCMAzDMAzDMAzDMAzDMAzD2GJwnOrfbtsW2JbqsqGYsskwDMMwDMMwDMMwDMMwDMMwjE2OB24QtAFU/5K7/cVzw3hrLryQobOqu8kXGF6ezjKE9lu33oD9Psnw8T8tl2AsCWnfs5FpxjU46Evx0L+WDvJDRcLlAww337015CqVOhK1mqPeNA8EfUBOQotfHhKnQWoprzVpHABgh/HcXS4DP/kh9Q7HfoEhxgtWMOz23z0MC3YyXUBZVRfMN9FAZdNgXjwdpSTgk3josngTPHJtXxgAsHebDzEJb/5vJ9sgJWqKFrEqtEW4ozHqICCne+VXxX75Hpa0TfU+5ER/0drInQEfE8frmH84CASkuYOyDYd4jhoFVvX6UBENhqoymtjcOPNcaiLuuPVcnHz6NRjOdVfxnp99/uq1SSP55QPUMy3tCiOfr9VEzX4L/ZJywzW8ZlGa/dwL1/7aY6G6qMZ63t9QoIT6OoZ/z3jPD2vSPvvkiQCAUsmLvT/6vQ26rmEYWzeq0OtNchzziiYjHq7OSVFRZejYvft0zhHLOnP40b1vrXR7z8dmIibnqwZjfTjkKJYzEvJgj+2pcnlzJce7b992w3rnO5zLRQvVEBd9YpwTiQfAql5OPB3NHLQHUmyM197k9+0mBPDmKqYfSnG+z+WZT67INvV5gUiIc1tWjnllAquLcr/jUA8CAJmcKq5Yvvvvvmmj1HNTcuU3ObdlZakxeZzWk98Xr2Q9l67KYlI7+1F3P3UkmRzTOvJf7Dr7K3i1k+1cL/P9dBpd8MgDphIcE1UjBWXxkx/gNlAnCSrAKz8cedZoVGXklYfeEa+m/vdHf7hW3wQAC382uiyr0zmNheqlFjzM7a4nSRmC1TSi7vrgBJbjI/uyXotXcL362PPAioEuppV67rgf18R+Gds6Mz709C+Tesh61y9qy6K8I4eaMDnGvipmMazoW8kPrz24+jqo2krRNnIc0zqNhaqbvLKwj/KlJhH0oSnIhp/WzO07tuc7yIputunTiz2IiSZ2SNbhKdHPrirw3iX8DmI+pon6uY3IORlJ6/cCbaLgndzG82IRbvOiNb37ezfisq9zfrj461cCAL5/+zkAgN2n90m56KH99DHz8eZ/jgAA1MfYn5IZ9tO6CDVPC5dOxL9fbgIAbD+Ja/VgoFzTNJVK9d3i3bu/wDpM/+OoJtzYXHU5x3Cd7/U9ZaepbPdDj9s4862x9WI/V9xwtA1//7NzUS6tv4Z0S8PnD+PDh1xjfQMWIWEYhmEYhmEYhmEYhmEYhmEYxmbAfiFhGIZhGIZhGIZhGIZhGIZhGMYmx5RNI7DQKsNYO86cezYAoH+IyoVymUOJmICQyTlI5/nl8TcknDbbya2GfldKwCv38fPOx8s+UTapXyjYDJTSNeft2MCQ5bxomjJlD7oyEsb3/O0AgOkfYOj5xAaGF5cllPwvv7oFhx8zCwAwmGH5nhKlVJ9op5BaMjqkXsOldf+OR49ulFBTzdemUBB++bWvhrInJLS6KCHGAQmN331CBTmpuiqalEcfpL7jy6ed6aqWYhHGCEfCLLvqLRzHwSWXUmt0zRXnSxrmU5bq5QtASixTUTmmqhHVKN0y7zxkcizjSE2SapRSWR7/2iVXjm4LQcsAAHkJ+9bQ7myeBfKLdurqq68edf6ll2hINM/tHyrhuuuuXe311pbfP3I6ACBRlxulY/rjo6cBACa2Mby8UPIjk2UDJTPc7n/IbRtcBsMwNg57HMAxfVnKh/aoKOpkedsc4/bPv1o/DdIxn+dcUhCdUL5Yqw70eavznlpaGuMcrx76wdunyznq+FkYkjnu1w+z7p86gjonnZd++qP1a5MjjmN7t4s6sClBVUwyU0JHM+ekgszPsTDL0FjP8f6pl8poamD6YIBpsjlRg+TovEhnSwgGWEid85T6Op7b1ZtDSdYd99y55Sua1sSXTzsTANDZy4WA3ptd95+FSU2s53t2p84klWZber2qsfK5azFdOq3sZgf94T1bYdvs9iVuX/jO5rvm9odzq2tQbwBwZNGkOk59ZVZV0oxDgYqkUc2QKpwCUW5ffQB4xxx+LtFR2hThfVTxzMRYGRMaa/u56kxXJHntFRmWKxEKYro8S5NaeI6uj6aM4/rk7y/m0Ewrjrv2jYVUNcfv9TEfXhKN2t9eW8KdPlE+iRaoraEDLWFe66VV3dX6jGTk+nhd2OVEKWh29fkbVbR/+eRFIdyKqXHe98V/uxEA8PHPcpxXhdDLXT70yfo7l5eOVZStX/ppIA542DmaRNlUJ8om/d+rIb+DXUUB1lDHvXd+l9f8yukcvxrqg9h5KjtdMsM008bz/eydOy8GAPz+X9sDAHac0o+mBMuxeEULAGCvnRYAAIKBvOSRQPvutQqvN/5Z+/5VcTyjlKubmttvOg/TxlEhtWgl2zAo7TZjEn9+tKI7iqNPun6zlsvYsrCfK2442oZP/HTbUzYd+BlTNgEWIWEYhmEYhmEYhmEYhmEYhmEYxmbAfiFhGIZhGIZhGIZhGIZhGIZhGMYmx5RNI7DQKsNYOz5zFEOCWxsZ2l0scSj5/h03umlUjfTj+0doK3Y4kluvD1Ob2gAAi7uX16YJMN68LZ5AV9+ymn0IMNz9Xe285rIhH+JBfn51QOLTn6Pu4MMHs5yq0ohHgO4hfu5K8XeyC1MMZR4v+qKhkgep/8wfu+Iamh6fioCohor5ZE252oLV5EFRMkUllDdTqlU1ZeV7xO9A7EtIhFmHgFgCwpJfQ53HVYBoeHQswpOiYSYOhzyoizLvUmnsKmTzHoSkvXIFub58j8d47S/NugY3XUddUjQi2qsy0375DKqVVKekiqixuORipgn4PRCThKs3SWWoAhhKUUXwrVtvwIUXMv0VV6w+z9Vx523nAgB6B3lfzrlgdB6/+tFsAIDPyzrlCj44UG0Iz9t+0iAAoKWRHSWbD2JZZyMAYMFShmafNme0XsowjM3LLh+aVfO9OeagM8nnOKxjrqgqGmUcSxV4vDPjRUeUY1BUxr+QjMEt9dwuWOXBuIQcE0OGjl9+GZ/bGnxIxHkwJxo61QqNpaF7Ozjg05wHYzLHtSRY+OHz9YZw2kzOR16PB5M6WPfOXk5AZWmwlkbuDwcdTGzjmP/aErZbdx/1Qjtvx+/BgIMhmZ+jEVWEML+lnUyzsqeE3gGety0om0Zy+WUXAAC8XgdvrqC+ZOEKtltFljlNogYLBjzYdXoMAPDsa1SgLOthu6nC6S/rqSzbLLyD8zKeYX8M7z0HAJB7av7mL8uMQ7n1eKtqpl1P4tYnehtZX2KHI13Njau+CXLw2KOBY0E44KAsis6iOJrSMibVh3iPCmXgxT+8td7taxdxbbSqJ4fHnpM1nvSDd05ixiXVchaBZ1eJijQpqiUvn7+mWAIAMLGuDDGe4cUlb/JDKCF1l4HQH3P1TUhJmtcfectyGhsZVTQpfhnEtd9FOtAkc9MOTRwj99mB91rH3r+9XMKzS1cykfRPvHgnt6pHC8SAoupx2ZenyfvAhAS38Qgwrolzh6qazjuP627V7YUCPlcld9B7qDTqaOY7UjzG7yt7uJ6e2NaLR/80AwDnBaD6rvbF069ZQ8O8/fz1l6cCADr7qBP+7PE3vJ3FMbZA7OeKG44pm7Z9/G93AQzDMAzDMAzDMAzDMAzDMAxDcRzAcTxrTriVoL98NUzZZBiGYRiGYRiGYRiGYRiGYRjGZsCUTSOw0CrDWDtUx9TSwECrdJax4vfeVVUnHCZpVG3xo3tHhKRvfxigIh/VMZWz3FaK1XQhhvci38+tV+KTgw0AgJ2bglia5u9XU6IpGh/m0DY+znJJBDH+9fgt2Oej1Ff8Z2kvd77yQ25Vx+Txrl1Y+p7SBiFWsEd0HU1Bfk9WPAh5aofYJglLjgW4HcxXf9tfkLD+sI/HmkTdNL2dx33eanuHQ7W/Tw6La8Tv8yAYkHzkWlVFEtzv4aBH0nOfKreC0rThYdopn6TpluaPi5ng3AvXrFVSZZPXU827IvXsHeA9njfvujXm81b85RcMmy5XvFLOsJTbwaHHMYT6oe/PBQA01lPxEQrwXjkAWhs51r/0BvVhu03vAgAs62wAABz42Vvw78dOAQDs+7HvblBZDcPYeBwoSr4hmTYCPupPAGBFkgNXWlRzcVE4+WXI9Xsd5OTYtEaelJLxeCDH7aKBFNrqqLiIBzge64itc0pbvII4jQ0oyLS1yzQOoL0DnJDuv3vLUAqpwrBZVD+vrwKefuKtVTHrypHHcV6sj7H9VRmkWsGlnQWMb+VkUCqpOpBtqwqpL35pDnoH2XZ1UY7r+YJoDmXr8wI/+9EWrCHaQM455xwAQDzmx8VfvxIAcM0VnE9X9rBt2po47/cMlLGskyqDbJ7ts1Lma1WNbdHKpmEqzBqyndy++sCmu/ZIJY5XFjweHxCbyM8VtncgwMYsFuVBLw5Wzws38zTp8BNC7NOZkgcFXYNlh2qvVZJF2drUbw8+u8h1Aa89uOb0a4PqqRRd9+p+0zNtHrQPvvFo9buqmUSx5AnyHUn7VaO8H2SLHncumtTIffvvzbTPL6C+7dklHrzaJ6oTf6T22kX5WYcvCoDnT65jP59YLwpCWfO3NXgRkXH8fXty7GlvpE6ue4BzXn/Sj12m8brtTcx7KM1rdjQPAACWd/OdrrUxid4Bqm79fl77PR//zmqbyTC2NuznihuOtuHvHjkX5VL+7S7ORsPnD+Ejh5qyCbAICcMwDMMwDMMwDMMwDMMwDMMwNgP2NyQMwzAMwzAMwzAMwzAMwzCMLQb+DYm3uxQbj22pLhuKKZtGYKFVhrF2fOxQho+3JBho1dkv4cM04qC1Hvip6hT2msPt0/O53eM0bvN9ozMOt3KbWcFtpeSG8c+o43Clg9bCPnlGvT7AJ2HI6WXcjgg1//QRLO/PH7qlGvr+3HooDLY/nNvYBFcn0JLoAADk2ATwSfh0e7iCkGhC+nNsp2WiAukI1g69fi+wTNJMjzFMujHCDOulao11Hmw3gWHcOfGS1MeCtfn4h01yTs0GhSLz8/u8rkZD9U7JNJUEXon9DgW9uOwbVDJddTk1EX2Dcr6f5czleM5YyqXzzjuXbeGrBuKp6kR3ZXKsw3XXXTvq/LfiVz+aDQDYYQrVSr2DDPluSbA/9AwyXH1lTx0yWYaXl+XeNNSVpH68dl20gFyev5svFJl28ji6Lv71Iu/rrtMGkMqynQ/4zK3rVFbDMDYdqiAaSHN0eWnA5yqZUmVNxR1tMuYGvVV10ypRNNWJpWWyKP66MjLGlT3okXGuSbV4Mn41BEXh5AF8I9R8L/1x42qQNjYf+hTbzQOgo4lt0DXAOvz+0Y2j9jnkKF6jrZHtFhG14cLleVcjuP3EEACgu58KnIDMR/d870Z849ILAACvLk4DAJIZtndK9Fw9qaru8NRD6BT5yuyrN0rZtwRuveE8AEA660GhxLoOSacOBdkJe/qpL6iL+pEVZWS5LGuOJPvtAllKtSUc/PrhLVjbNBxZo31AjEn9GQ9e/MNGeKaG65l0EeSRB1qUS/Byrvf4Q5gkWpylsjZTXY6u1Zr8DlokTTzEdn/qd7XlfP//zcRfV8i1ilTZ4KW7uN3lRADAxEQ9lqVFA5XrqS1zSVQ7qvPZHKhCa+HPNt81t1W0LXVh/sajoqsFUJZ77pN1vC8k+/NoamDnb4+qKpDn10k/C8ic1VgHTBQFnnbpgExSOiZM6ojgny9wffziCp64ODOinOU83tnGfNobeI36KDNU/V4k5IMj5bj5xnkAgNf/8TkAwMruBgBAOhtAQPRLjfVZKQ/Hot33vxsA8PP75wAACiUvmhPs3/sfchsMY1vDfq644Wgb/vYn256y6aOfNWUTYMomwzAMwzAMwzAMwzAMwzAMwzA2A/YLCcMwDMMwDMMwDMMwDMMwDMMwNjmmbBqBhVYZxtqxy4dmAQB2ncTvxSKHkqnjGXLcO1BEXvb1p7jtTTL8979LxCHgVEaplbDDkdxqGL3Hh4mNLQCAZaJsgEdilfO93JYywIKH37K8hx3D8q7qd7Con+evyMs1nr6BWw2jHp6XhFsfsAsrqkqqSS0ePPEa84mKlink43bhwMhYaLgaAHgZEo1nbgQATH4f9UNhn+PqnerD3MZF1RSSU5rrfQiHWGafeKG03f3yPRj0IhqmIiMn4dqqYVL8fi90l7vVJi0wP4/H46qVIiG5VonHorRGIS0mgYGhIupjLGRVD1U7teQLJYxrYZpMXvPlNidt+vVLr3LTn3POOQCAuigLVhL9SjDgwT47pWUfCxgJl6QN2D8SdSxYJhfE0s4YACAeZZpYhCHyzQnm0TNQh54BFuSIL8yDYRhbD7vuz3FdNXlvpnwYKvOL818Z198xh1vxWQRkXAt5HMjwgpYwB5hVGe5IVmTMq1Q1GE6pWJMPikPcvnT3RqzR5mfH/c4AUFUE1sn4/rufrZ/e570fp25nYgvb6aEfUGFzyqlzAACpTAUT2znmXnttra7vIFFBTmn3u4qnm268HkBVAaXzxcoBDxIRzjOqgPrrr9dfSTT/2vPxyiJOTjp7ZfNsk3CQdVnZU0JY5kOdO39078bVc11wAVVNy1ap7sSDO797Y02aOWeeBQCIRTin/umZFP68hA0zvo4LhxX/4DmfkXZbNQA00W6IX20t6iZdk8UmumumTXaNMdaQ7/kY2+4fq3izE0H2ycF0v6TwAqEGfhQlz7QY+8x2zdzGwsCjz8la9ZUfcqvqKFX1RDoQCPBeFp+6YUNrVItea3Mqn/7X2PFobktZwC8Ld50n9J4r0w+ppgk2AAB2l7Wxzk2pgscd03QsSoiqKRzgdoKMr/VRHyZ2cNBetoprX794C9NZzms7To3hyaf4M40hUd6pBk6LmYg4aI7zi453ddHa/7daF/XjA+9gv542frDm2Ds/8j0AwD8fOwXlsr6nVGrSREMco15ZTD3ahLa0q0z98KGmQzW2PeznihtOVdl0HkrbkLLJ7w/ho5+92voGLELCMAzDMAzDMAzDMAzDMAzDMIzNgP1CwjAMwzAMwzAMwzAMwzAMwzCMTY4pm0ZgoVWGsXYcdTxVGekch5BxzQy7TWYYIjyQcpAXw8WTPxc9wM7Hc1sSpdFYmqUZh3JbEUePL1jVN0mYc1OsEQDQ1/8m94/UPr0Fx3z+DCzuZBhxXkKWn/odlQuJfecAAAaTnUCBSh/EpwAATnoXy1CSCORXlpbRSBsQ+iXpsiFRQWWK7vXaIgzJ7y7yWjEv26sjzIx0AC5WPGiPsc6TJBTbN+JXxk0JP+qibGdH9AB9g7xWRFRO8VjAVTRJEnjVfiWx2flCGUGJDdc0wQCPXfYNapO+dtH5rvJJtRpfu+h8AMDUcSx7Osc8htIeV1+Ry9dOKcWyap68+NolV9Ycu/yyC2q+54uOq4PqHxJVhtSrvUlVUoBP2jBX4LEJrQWMhcfjYFkX1SBTOhjK3jsYlGuxwF+ZffWY5xqGseWj6sCuLMfeniIQGKGoS/hqtT59al7yeiBmC7QGKnKMO9pEj5Ere9ClY5rOQzpql2Xcee62jVWddWKHD1K19Nqfb9qo+X70M9TUBDnVIJMHBjOiW3xi7fVEBx7MfJ54dLQe6NNH8NjPH9r86qB5V3Mey+ZZp8EU57negQKWdVPtt7SPx1ThNbWeafpzHuRFCaaKxn2miUKllXNLY30ArY3cd9qc2vll7tyzWYZ517n7PiVtsbCL/assawyd/1vrKijKcihT4LV3mchtU4I36dab5+HI4/gsPPiDse/RQYfORJMoWfqSLN/jj2wl6qbNiCrMprdW8Lrck9c6V/GgjAFN9R0AgN3aSpjaIepOWau8vIQDzMpBfn/HFAcvLOXpLy1fxg8j16zTD6mOL3pMdKFY+LONUzFj46M6LHlPwLNjPHu7fJ7bSsnd1ZGghrZd9F7dGd77yQk+6P94rPpcTns/+2OyKGt8mav2msxn2OcDGuPsg6pu1bV+c4Jj0oruHEqyFu8b4jVUg6rvB794i7FYdXsff58X41vTcg2ZI0W5tP8hnAf/8ZsvIRamViWV5YL+vf/3bQDA737CsS7gl3eIbACfOGoTqdgMYwvAfq644ZiyadvH/3YXwDAMwzAMwzAMwzAMwzAMwzAUx6n+J8ptgW2pLhvKVqtsOv/88+E4Dm64ofaPf11yySVYvnw5MpkMnnzySeyyyy5vUwkNwzAMwzAMwzAMwzAMwzAMw1C2SmXTPvvsgwcffBBDQ0N48sknceaZZwIAzj33XHz1q1/FF77wBbz22mu46KKLsN9++2HHHXdEKpVaq7wttMow1o7PncAw4h5R62TFXrFcwtQjfgcv/ZHhy585imG6P32VYcV4ZowQXVU1KRq+7gsCJep2EGnnNttZm2Ys9dMOR3IbrOf2hTvcQ02iZupL93NHUZxLquAIxoBwGwBg/4mMa25t8MiWgWV9QyVURK2wrIfDqOqc3hhgmrDPwbI0w/cTIYZOTxQtU0ia4r/d/D6j3o8WCd9WtUg9DVXud8cBOhqlfUO1odkV+VV7Y30A4VCt1qlQZL4qMgkGfe75hSLTZHMsR1gK5jjA5VdQ3/SNS6lWUoVEXs4JiO+kUHDczHVfsVgNJ1c0RLxY4jENL1c1lNfrwdTxosMIME1zA9svLUqWFd1+pKU77DKtKOVyatKEQ6JfGfKjs5f5dffz3k4Zx/vQ2ctrVipOjT7DMIyth8nvmw0ASMgz/8KgH+2itKjIoDSlnqqMN4c4LvaXdIwqAr4RgcIy1wSCHHxbAxWskPEmrONVQXY8f/vGrs5a8+GDZ+L1Ho53S/62aZUX7/+/mfjrr9dd7fPej3PenzGOE8dAivelNwk0xZnmrTQhG5v3fIzlCQX4vSgGlb+t5H0N+32QaRDI93Lrk0lYdJF1fg9k+kJU5sNJcZ707O+53vn4Z2eiT145ulKiEhPVUqv002U5n5vPFNE3KjqfFSs8J+B1UJbPi/t6AADTmpuZn6wZ/vV4tR2P/QLXZrEIC6hKqleWV9UwK3IyYT8zf2QzbRvsfiq3+ozueDS3vhBQFuWDrJ1QFodbQByces+dEsKhOgBA7qn5Ndl73sn3znqfg7zcvlyRa4y6INcYOzeyg6ULHvTk2A+6pB/g6dr/TGf8j6Gqpzce5Va0TtObEgCAfNmD5Xk+qyFRI9XJWjoo48M+k/lcP/rgLTjhJD7z99xJfd8JX+S8eM/3ODd87oQz3O6u6++H7lt7/d6ll1Bzly8CsbAoYeXYuGaW44unXwMA+MsvTkWhyMJOaBsEALyymIqqQ46dv9bX3FL5w89OA1BVVBnGW2E/V9xwtA0ff3jbUzYddJgpm4CtMEIiFovhvvvuwymnnIL+/v6aY3PmzMHll1+ORx55BC+++CI+//nPIxqN4phjjnmbSmsYhmEYhmEYhmEYhmEYhmEYBrAV/kLi1ltvxS9/+Us88cQTNfunTZuGcePG4fHHH3f3FQoF/PGPf8T73ve+1eYXDAYRj8dr/hmGYRiGYRiGYRiGYRiGYRiGsXHZqv6o9VFHHYV3vvOd2HfffUcd6+joAAB0dnbW7O/s7MSUKVNWm+cFF1yAr3/96xu1nIbxv8AP72FosKqbXlvBAN6ghBU3Rh2ceArDhvUP93xsGkN7H3tmjAwdiXtf+DNudzqWW18I7u9Oiwz/dVVN4VZudzgSeO3B2vz0+06fAwDsdeAsAEAi4uCPK0SFEGlitjmJtqrfDgAwva4Cn4RJN8VVK8Tvb65ieH97ow/Lelifgmge/rNSlE+FLm69gWp5QizriwPe2vp6Gd7/etqDN0U5FJWQ7MighGqLvqghUkGlj+dFQzy9LsLyRULMt1CsIJ1lSGM0zPxUjaTkC2UAckyKE4v65PyqTumKb1DV5FWFhKhOwkE5JyJapriDVEY0KNIWaXFfTGpnvumsx9VK5fJUGdTH2D7RCNP4vMD4VpbdIwHhE1rpvmhpHAIAZHIhvLmikWmkWuEQ82uoY2X++HSdW5d8gcduuWkexuKrF54/5n7DMLZ8dJxeImocvwdojqj6jgPEYI7jQtc/5/OkvahbgdcHVGTA0klKxuximd9XlD1AhWNIriBqv5fu2iR1WRd+/+gtwF5zNsu1ypU1pxmLv/+GGqG/y3fViPQmy+gZ2ggFA3D4MZzXe4ZkzpR5MSdTcbkCNHE6wGur2B8GBlVbJJk47AO58jCDrc7dPsmwlAUApHJJV+kTilIHqRok7PYlAMBvFnrgERWY6lbq5W1rUYb9tMnvoE9MQf3FETqnLPMbJyqnbMmDeFDK9sp9zGdP1ntRP/tkeO85OGQX1qNrgOdNE2XT3xdy2xCquPP99DqmWYhtDFF/tkXDAIAu3S/3Dx4P8OoDAICpontblZc1XmqVpJFFrMePXFbWnKqAKlKr4OT6AACDhSHAH5VjXKukiuwX/87H3Hzw3PyNUTtD2e7gqu5oa0TLruomYaEocOELoEXW/Ts0cf4JyBjSlmB/TdRxx9EnzEJnP88b+c71pa/MAQDk8hX0JZlmXTR5hx7NceaSS69a63N+8KsI3v8OGecSfO4Wrwiv9flbOqXyVvd/eQ1jm8D+qPW2y1Yzqk6cOBE33ngjjjvuOOTzq/eHOSPursfjGbVvOFdeeSXq6+vdfxMmTNhoZTYMwzAMwzAMwzAMwzAMwzAMg2w1ERJ777032tvb8dRTT7n7/H4/9ttvP8ycORM77rgjAEZKrFq1yk3T1tY2KmpiOIVCAYVCYdMV3DAMwzAMwzAMwzAMwzAMwzCMrecXEk888QR22223mn133XUXXnnlFVx99dV44403sHLlSnz0ox/FM888AwAIBAL40Ic+hPPOO+9tKLFh/G8QCjJ8+KnfUeH0icNmAgDCQQ8WrqBCoKWeaR57ZESo8IxDgdcf4WdVNe12MreeYcOTfs51y0Wp7IFPwoCD9aMLpqHQold4Y4ghxOVBwPnvDQCAoqSZ2jENALC4v5dFKfgRiDQAAD4YZ4SV6oEWrmD49AtvllGR4KuCqIz27qDe4cX+8SxuPgOUGOI/mOqVsjJfeEULIMqQRMCHvERri33J1StEJHS7XPEgL0qlkphGfv3wzQAYtg0A/UMOmhPUTQylWFYN7YbUwXHcj24xsjnmq/czGPAgV+A+r1dP5/eClNMv56ZzHpR4Key7C0O0O1qokvjN35oBAPUxB5kBpgmHWB7VouwwmRnuNHUIbY1UJCztpE6rtYnfG+v7pX6Tsc+uFE289MYUKSsb4z8vsx/kpYCFYgU3zLsOb8XlV6x9KLphGFsGgb2pXVqUZMTsrk0cjII+YCDHMSwq42ZFBu+Od1Nn0SmqnJDXg7zDscgpcJxGXvR9dZO4LeWAskTlDlfwbQk8PX+zXOYfj92Cw0SN9PD9N693Pvd870YAwGc/NwudAxsnVn2ROHl0fh7M8kNjjPmnch50JrmvP8+JLCNzpxgNkavIhObxAwVxSb1459gX3OVEN85+MEtFz2BFOpT2k3wJToC6npysP1RTuEer6J78DlpEJVYnOqYuUT/lKizvorQGsTtoEk1I075zAABJSVNMUR2Ue+ku/KjMY4fuxAo+/qzozOQZWdI7gBmtbQCA1/9y09j125rZ6VgAvJeunk3RZ9cfc9twcVKcXeVsbRpVgqIClETTVuF/XKuro3qzSe7ZkmwTUBCtU1nye/nejVAZY0x2OJLbUq66b/vDuNX7V8xwuyUrnfT9RBfgIa53d67nsxsNlNAs7x5iYHX1HkMZmddENdfS4EcmxzGoq5/7wrKO35DxGgAeeWDdz09ny3hhIb2ue2zPss4+Z+tfZ//0Pq45lnVtNT86MwzD2CrYakbVVCqFF198sWZfOp1Gb2+vu3/+/Pm48MILsWDBAixYsAAXXnghMpkM7r///rejyIZhGIZhGIZhGIZhGIZhGMY64jgeOI5nzQm3EralumwoW80vJNaGa665BpFIBLfddhsaGxvxz3/+EwcddBBSqdTbXTTDMAzDMAzDMAzDMAzDMAzD+J9mq/6FxAEHHDBq36WXXopLL730bSiNYfxv8v07bqz5/quHqWX61BEz8adf8vNeB84a++SxVEtZ0TJFWmWHd1jYvLgWVJGgv1wuj/GH7n0M3965pQ4AkAhTmfAPdTwAbkj34jfk+x6nAQA+Ms2L3y1hqPHfX+U1d5G/d69qiHzJg2f7GNq/RyM1AVkpVq6s5cqy/EBVA1AY4DaQkHJyGB4sVuuTc/+sDc8ZKPLA9Pqye/2CKJI+8Akqsvw+HigUHaQyPBgI8HyfTzVMDA8vlR2URJcUizDNRNEmJdOit0g6eHMFVQYT2qmZuEL0Rpdecj6Aagi5B9QjAYDPy51/e5aqpiapZjRUgeN4a8qalqj7g95DBdOqnkas7GkAANRF2AiJOuoQomGqNHacuhD9Q8x7cgc1WH/872QAwK7TqF3p7osDAK6++hqM5MRTqG2567s3jjpmGMbWQfEpavd2+RDnlkRYNRZAd57jXL2McXHRq7RGOUb5ZdzJlDzwyyCW8sdGXED/I4sXKCY3SR22JjZU/TGcn/zwZuz/qZkbJa+nfreacu01BwCQ8ANT45yQh2QZkcuL0uWF73C78/HcOrGx1xJAVRWT7wN8odpjqorRdcmCh6tKljfurkn63LDPqh1rFsWgKhqnx1jehcO0Sn0jiqPaof7Ediz6jEOBIS5kHnmF+6bXiYpKlUROBRtHlLWF8sp9wI5Hj31M9DbID6BP77HeR49oc1wlm9yIQBRNEa4fJ9Tx/FiQa6tu1WlluwDVvakiyL33W7AyaGvFkT49vG2DidqtjOkt75qDnpQo+F6qfQ7Xm5H969UH1i8fUTVNbuPadaf2Ys3hbL76etPRyE9/f4N9bmqjqJoS3L+iu4iVA0xbFpXb009svPF6XfH5PAiHWI7X3qRe94mfcLw/8LO3rPa8LZWH75kLAMhk2f5fOPXat7M4hmEY2xzeNScxDMMwDMMwDMMwDMMwDMMwDMPYMLbqCAnDMAzDMAzDMAzDMAzDMAxj26Li8N+2wrZUlw3FfiFhGMYm4RcP3YIdPngGAODpJ6ge+L/DGLbbKxHu/3p8jPDdhT+r/T79kOq+3U7mVrVOGnofGw/sdKzsEx9HdDwAIOjjiJ8uSAB0uGX1hZZzf/daEUft0wAAGEg5NWXOS2R1IuJghziP+STW7LlemV1KEibu8QOO+JdUC6BkV3KrYeYeP+CPyEGWtSnA/BpDDFPPlTwQ25GrXmgWVUmhyG3A70GxxM/RcO0fTLpclEt33HouwkHmubJHVU/ctjdRSTChzYHPy/IMpRkiftbZ5wAALrmU+cw962wAgNfjQTTM+vUNBQEAbZLP869z/1Cq6Kqjevp5bM8dowCAhjjbK5cPYlIHVSnFEvMJBXlPvHofh+pQLHHq+sszkwAA/UM+qQO1K+/ceTXaDZiqyTC2JepCHBeCspr9wy9uwbT3n1GTpiC2lt4cx4mgaOX6Sh6grPo/jk3hEBUtuRwVcShnqyqekXOTsd784RcbV93x3o9zbZHOi8ZE9Ew9+TKe/b3oS/YQTZSqmhRV9ZTSVf2Osv3h3KoqZvhnVf6oXrIka4/phwyby1fD7qeiWGY+Kel7KXE9enxv8Wq260kAgL6M9E/tm68/wusCwDPzAQALZxzK7/6wlLMdC/s2s35su4OBMLUtKMpNKcuaaFMojUYqdLRNlAU/dnVXff1vcp/ez0BUEnFB5wnG0PdvquGi76XqMSvrrIU9sgYNNgMlUYCpqklRzddrD66+vGPpnbTPLfjx6s/7X2WsNlElWZHPTUeMz157rIJJcWphS+1U+wVlGf7U8gF+ePnedbu+9q93zF6384Yz41Ag2MCyigpsQRf7XIOs52MhB1l5TB57pFa/9N7jWJdkhv12MFM9pspUt3zPbP71bl3Eh/5BjkuvLuEY2dbIe/PM7zl+vePDd272cq0rP79/DgBgUPRsx51y3dtYGsMwjG0XUzYZhmEYhmEYhmEYhmEYhmEYhrHJsV9IGIZhGIZhGIZhGIZhGIZhGIaxyTFlk2EYm4RPHDYTr3fV7lvQyd+Bjk9URp+wujD14ZqMjGToUW+R5JPrBbxU/HiibQCAD3QwZPjlHg5zg2U557lh4c8SLj9t3FQAwKI+qoN272jAuBbmt6Sb+h+//Pq2kUYPvNHtxWv9jJXeuVlC/SuiCnrp7uo1VJtQpIoIXhl2/TynJcaQ8kSwgiVZXqQoYsH2KOvXLfsTwQr++wTLv+eHZ9U0hVKuOMhIqHckzPPrfFRSnH/+eQCAVxdXMK6F5Zg6jonTojPZaSrboFLxoFymTurFN3h+Y5z5Xn7ZBQAAn2iUVvUUMZCsyPVZ1teXMf/xYshKZz1Iivpp6gSG1B//iddY3xLz9/vL8HiYZ1OiBwAQirJ8vT28r6lMHfoGeRPqY1Q/TRlHFUQuz2tmZPuju87CUSdeD8Mwtk3CYttJ5kS5tPccDMr455WxsUH0dK0RVd/JyeU8UBLdh2h7cgX57pFxulLcJlVN7xPF0d9+cwv2/xQ/b2yN0lvR9u45AICuf87fKPk93c37VSdKlrDMTYmgD4Oa6LnV1O9F0Yfs9LmqXkhVOroe0Xnc60dH0wQAQH1Q5qooO9SSQepJVjitVZXSSPaaw/J5gXEyPw+KTlJVTU5eSrzLiaxDLIGA9OWeLLVQ4SA1TLmhZdW8tZ/ueDS3WoaKOMuKQ2OXaVOgeiyvH0iJGun1R8ZOu/1hgI/rLVfntOBhbqUN8NJd1fS7nypp86OPrQ699m4no6/3DX5WTZKqlfTasjZzKhVXO/paShdashD0Uw+J4iAQ5BoOuf7aa76VqkkJyqJqxqHVMpqqad0QVVpdXTsAwC/aoqVJHyaKEqkg6/+KI89sXTMAoG+vM5nH0zes2zXXR4WkY4jHCxQGAACNMfajd+/MZ/9vL/KZzeQ9rpb1wIP5LI1c65fksf7TL2/BXgfyfSAimtd3NnNs+e+6l3KDueXmeaP2XfENvjO8vIjj638ep353n4Pu2HwFW0eCATbwcafMf3sLYhgGAMCBBw48a064lbAt1WVDsQgJwzAMwzAMwzAMwzAMwzAMwzA2OfYLCcMwDMMwDMMwDMMwDMMwDMMwNjkewI0KNADE43EMDQ2hvr4eyWTy7S6OYWwTaDjxhCYON/9dSq/C+HgZiwcZqtyT7GXil+8dncHqdE66PxAHAtT4tISYd0I0HQvV3/H87Wtf4J0+h30nMaS7nnYhTGlnviWxRL34ZgVP9fB3uh+ezNDepNg+/t0p+ZTSAOSEinhCHImzFkUIfHKBQAyQcHKNze5Q1YiomwLeahuuGkBN+eqjPCeVc5AXU0NLPff5RWOh2ddFvRjfyhPDIabZeSr1B3vusEqK4GAwSXXBQ0/QuxSRtDpphAKaH9A/JGVuZv1yebbNsi6WPRz0um337l0ZYr/XTtRN+Lw84PeXUC6zsIUiMw/42W6LV1DZlM378fzrvNc+qVd7EyuciHE7mOa5pmsyjP9dAntTxzFDtB0RP0euhUMcOAZLADRkWsdnVevl+7jdBnVNq+O9onH6+282n7ppU7Hr/lxzJAteLMloWDzv/9RobdrFfxumX9E1hY/6JbxyH7c7fY7bSDvw9HwAwB4H8BrPPXlz7ffubFXpM0LtMv49s5mN30FItFKZIufK/mJt+H6TzP8rc17kHR7bLcF+KlZHdGbYl3v+NX9YHQ6TD5Lf8HWTaGMmtk4GACz7+3qoZ96KXU8CAHxgChs5FgIee2Qd+pO2s19URiV5D/OGq2om1WmJilLXfpJQNrI4EJUnnrttzdfWfJXYeHgCXCc5g6J50nWbXxZeHn9VhaWaKW1//b7dwVU91Npcf23Sqv5ndRqs/yWmHwIACDRsBwB4VxvXgX/99eh+p6q6VtpIsVyG+ULJg+d6ZW2+Nn1lHco1JtJ/PvdurmtfXc4H2iu6qUgA6Gjk85srcN9rorxtlveB3gy/B30O2uJMExDTYFGmM13796WAf//2rZ/DTxw2E796eNOM/WeffQ7LGmSBZkxkHbaflMQHP/2tTXLNDeFn981BOMj+8LEjbl5DasNYPfZzxQ1H2/CXD16AUin/dhdno+H3h/DJI6+0vgH7GxKGYRiGYRiGYRiGYRiGYRjGFoTjVP9j5bbAtlSXDcWUTYZhGIZhGIZhGIZhGIZhGIZhbHJM2TQCC60yjI3HBz/B8OhF/QzTbQwzTPf5AQZnhb0O3tnK2OK/LaQqaJSWaSzGCm3f5fPcvnQ3txLSnmicAgAY/Pf80floSLVqOUaG2g+71vi2aQCAKQ0M401Egd+8ziQfmMjtqiH+jrdUkVDrMpAqi0qpIOqoUprbinxXpYA/Bvj4OSy/Ki6LcmFalNd87c834f8OY5uqlklpqmPaH99/Mw4+kmkefZDh1xdeeH5N2tYG1wqFWIT3ZFUv79F7d+e4l8wE8Nt/SDlEtZSoo66gJO6lefOuAwDcPO98PL+AGqZCkVNKe3OY2yZRTUxPo72ZOhSPh2ma6nmtgWRVufDCQuqhGuqKUg72lcE0t+Nb8ljWRZ1Gv7R3XZT5nX7m1SzX1axvOufB1y65EoZh/O/yroM4Hv67h+OX898b3s7ibDSOOp6KoIEUx791UuP8L7HLiQCARIyeljHXAm5aWUfo/Kz/he3VB9Z8nT3Yz1rCfoRFx+QqkfaiPgzp5dz6Y0CFcyY8nNva6qmJzMt82xIS7eRfbkLbu+cAqCoj+2Vd4Wj5SrmqZkx1QiVxSHq8o+sgaipPfBIA4N2tnG8rDvCvx9e/Hx15HPvkM2+yfK/9+aZ1y2CkNinMNnHrBACFQW69EuQfagQAeDwetAfYQM2yrkkXWPfFqu3KrKjmo/rM4es9oKrtinQA+R5+1rbb7UuSSG6EUwGykmakamldFEzGZsFdG7/C7zsk2D9CfgfPP7keah5XHybreI/X1XoFYtQxFcvyjKoWsNAPRHjs49P43K0cYP/89HupenvsXykEpXv3pFnG11Jco+/TzHNUmdoQA7zSvUdYXxEK8EOx5Liat3CwVg334A82vZJo7llnAwAmtLJSRXn0uvpKmHf9dZv8+mviztvOBQDkRZuXTHvw0hscP3MFPusP3GPqJmPdsZ8rbjjahr/40banbPrUUaZsAixCwjAMwzAMwzAMwzAMwzAMwzCMzYD9QsIwDMMwDMMwDMMwDMMwDMMwjE2O/VFrwzA2GW8OMMQ4J3qBBUP8/v4OhhwP5TxYJvt2nzgOAPD8grfIUNQLeOmu0cdUsaAh9aIvGB9luO2ghuEPV0L5qP7RsOu6BPUFqZ2OBV65j8ck3H6Fj+fv1NYBAHhscQB7tzEEuznOWOj/dPJ3vA1+fvd7gQ5RCHgjHG4XpJsAAE5lRBg3MEqg1yrnqvZgrwNnuUqkniTbtEWu/eP7q+HEqmo677zzAAADQwxxfOfOjPGOhipuaLKGdg8kWY4XF1Kf9PqyAorqhxCuueYaAMCXvjKnZv+suVfhx3fPBQA88xpD1zV0fJdpGQBAMFBGNMxyFIpsi588uT0AoG+IafMFB5/Zn/dtyrgulud13pN/v8RzXloYQL7IstZFRSFVZrt/7SKqmpZ18ngw6INhGP/bbIiCZl1RtY5XBvOBEgdYvweol3lhRU4GXdmooi9X8aBOVD9T6ui08EkatX7055jY6wH+9QZ3LsrYUv4tkfXC4FqlvXuds9/5Q2cAAHrl3nT9c/7oRE+vWRPWNeK7W94Zh6IryzmtJTziXj8t13rHbCDYwM+qbnor/aUcc0RT+Y9BWYc4jrvO2mcC9TFDUq/dJ7G/Te4IYUIby3H3Y1RQqu5mvfUvqr7xU/WIsmgZcr3cvvEosPupAIBwrBUAkHf4cIREAbl7UxEt9UxeEKXlYJbPUUdc9pfakZOqvtSdqi2DKjxDXKPB56+WY9eTpFyiwSpxXYNKCfDKOmPHo2Wf+jTl4d3+sNFaKGPjMVK9qsw4lEqtYccefYmatPF17NuvqSUjvQLrheq4djjS3fWp3akQm9zO790D7IM7TuHa+p4nfZgu2iVZyqI3y2dsyUr2q0QU+N3POG+980Bq0FQ16PsYtVMVqVqxVNX1qZJKWdnPZ2NSi9dd699/N98nVPm3OaiLcryIRliel95g/RN1wc1WBgD45QOzAQCxCK//3OscMNJiz8vK9k9PpxCQyfeRB0zVZBhbAg62rT8EvQ1VZYOxCAnDMAzDMAzDMAzDMAzDMAzDMDY59gsJwzAMwzAMwzAMwzAMwzAMwzA2ORbnbRjGJmPJ324EAOzzUYYR50Vf8deVDHFvC3ngl3D75/vXQq8zlqpJKUuYfEB+zxpgSPbL3RKTHR03+pzXHuRWtAWqAEAxNTqtKA7ebKeewSkkERS9wIvLec2yhOivEntUnQ9oFwVHp2gPYl5+T5UkVlvjqL0+TJVwZhUlpUSrtJeEbIf8DlYMMp/2OFOFaS3CEccxzWDaQUcT27I5wfP32F60WDMohWhtHMBQiuHjO77/BwCA795yLgDgXy8wZrlcdhAO8Vr5Ast1yqlzAAAN8dow6zf/cwT+8TyvlcszPL0uxmu+8mYUALDn9kn884Xx3LeYU887dmBDvXc33qNcwY9p41cCAJ74144AgD/9l/XM5qlO+P4dN+Ibl17A9giwXAuXscz9Q2xT1Vp1NAdgGIaxSdnlRCCUAAB0y5jtpFfxWFHULm88ilGzimhqcj4dpzxIRagEfPEPt4yZ1tXDeHyAnldIb4RKGOvL0jTnyaagBODvdjLwwh0b7wKvP+Le/56M3P8IfTCed54JQDQGoqCc3DoBALAkKJoh1R6NVNoAY6uERIHzn8XiUhSt5Gu9DfyeHxg7rw1B10Gl3NjHpx8CeLhuaAuxnYNerg0KFVE3BYDlffzcIwqcFYOir3JkvfXKD6uKn5HuB62THn/hZ8BOn+NnVTUpPlkDBerQUkdFT0//Mkkra9G6iQCAcCCI3B6i0sks5/b1R8aup7H26Ji4GodHR/Nk+OV1YNlCbmc0cD0aD7Hv1AXYX/qCE9GzLtcWfdgo1ZPHi5ys/4/9P/aZ829lv91tOvfP+nQEN/+cx/oKvP6kmKhl09wG/VWlUjbP+g19gO8eaVmPx2S8SQ7rmokYK9w9yHyiYqUtlR14pS2OPoH5PnDP5lMRNYlKrTnB5zDgY2EKxcrqTtkkLOviO9u/X2S7N8T5vtLcwHE1JdN1KODBw/ebqskwDGNzYL+QMAzDMAzDMAzDMAzDMAzDMLYYHMcDR//j6DbAtlSXDcWUTYZhGIZhGIZhGIZhGIZhGIZhbHIsQsIwjE3Of35L/cS09zPkOCFh0pkykHfk96KV4tpnqKHabzzK7YxDq/qKisRL+6lsmhjj/uYIQ4Of3f5wV7/kItqC4oxD+T3SjvDecwAAuXQ395WpDFr4l5v4fY+Z+Pubg/wciMu1a3UDqXIQqRKHWY+XdW4UhZOrEKhIyLI3ijdF6+RUmGZylNu8JO3O+CCHMC4hxZLT1QD1+CMjVB8ATjplNgDguQVtAICrr/4+zjr7nJo0T7/C9u8dZAhzwA/4fHKfcrzI9EkMd99hMtN871ZqnpLpTixcRoVBqcz294pe4YPvoCbqpUWNWLCU+w7Zr1fyo+IgHGKcdHd/G37+p12kPBLaLTH337r1BgDAzDPmoiyN8PQrPK9Q4vechLKHgx7J137nbhj/67S9ew4AoOuf8zcsI9V06BwTlEHYcdAi009PWuaEVx9Yc346fw1nhyO53fl4bguizVGdjM59KI+ex4y3lcrY5piNg/aVPU7j1kPFiDMgLppIi9sfl/R11Z67rnqlja1j2ljXlPXZElBJNS3O+b1B9DtLBnzIlTn3dw2IMk2fQ31uph+y9vXb9SR33Qd/BAAwuZ7rSp+oRluiFYQCXKv42qhbG8qKDkbWb39Y7gHyIgTyR2vLowo2UzjV4o5zwlhj5Vj7hlEfdDCxkX1j76OozOpLigJUXjfa47xHkxorqHyaaV7s4jq1q08UXGOMszs3cb2bjk8DACxJ60I8jd+9yXv64f/yvSCVp6zvkgdF1+WLACVqSnftaAEAfGg3XjMp9r2BVAVdA6Jqytb+L1pV3zbFeDwUAA46lGW/9y6+n+wrmtz2Bp5TrlTfFX7yw82nIjp91lwAQJ9MY6UyJ8p5867aqNe56vLzUZR2WbSM7wXRCO/DLTfNc9N9+YyrAQCfPHxmzfnPLaT3aqz3J8MwDGPTYj+tMQzDMAzDMAzDMAzDMAzDMAxjk2MREoZhGIZhGIZhGIZhGIZhGMYWg+Pw37bCtlSXDcUDwJpjGPF4HENDQ6ivr0cymXy7i2MY2xTvPHAWAKA/x9DabMkDMfJgWZoaIDy3niGzOx7NbbABAOAJMMTeESVSwMcLNfsrWDXUx7Qv31ubx/Awen+Yn3XGGBH6n2jeDoPJTkkflAykMh5P9VwvQ5T/n707D5OjKtsGflfv2+yTyWSFELaELRAWgQgihFVARFkFRHkRNYEJiCLu+KK+ihIIIh+yiAgKiGzKvoOgkIAQErKSELLMJLNPT+/d9f3xPKe7a2YC6Ukms+T+XVeu01116tSp6p7qk6k5d9eGZKq+iXVojUe1rt4XdvsL8QCWtFPhl3ZrNZLAbQERnzQQ1LJSEgQQCWpMkc+Fu26/wXFYN8/9rvROu3eJTlsGgIu+3gAA6NDzbxKkfB4Lf/nTjX22E9PXb3S1RBWcd/F12Jxrr/keAKCqPJc/lTMPkanwjS3lAIANzXJuzrzwN/n+1NXI+TeT1ZMp6d/G1mS+HRPRVFmm8RW63Bznrb+fu9l+EdGO4YiTJJ7h5X/KZ4t1wBwAgJ1JA90fSaWeMS6TT5XSXykRG0D+uoxcxvk8sSkf+7dZpUTF0LCy82ESibj6Nf3c7SsWcqDtcRYQksggxDSuyMQDJVp61x/O70UzTvOFe68zY7FEm5SfEOsDoPCzbvhkXALLAyy+07lOo9TGVlQDANZHuwFPRFZVaLRlnZRdkgKDtm4LVRqvs7JFxiprozrW614vZaCm97566hlVOtzt9kUpNeYzP24O1BTGxVk9ieYaDB2gvndboR0Tb2ckNTavbCdMqZQ2fRqVOr5aSv3vAFp1GB70yT8AiCWd5dpOec3WxCygW8au+00YAwD4zL6y0bsrpXJ1mYUHF0vju0ZkX2Edq6c0TmxF1I2QS5btVSOfJV1JWbehW/Y1NpxFOifLOnRdRr8A1aNxYVUBORd+N+DW9t58xvn/p3MuuDT/+N67nOP54ewX/3sVACCl0Vs//unmI6COOVU+/8fVunv934hooPH3ilvPnMNH/nI1MunkYHdnm/F4/Tj17J/zvQFGNhERERERERERERER0XbAGxJERERERERERERERDTgGNnUA6dWEQ2S/RukNLk7OY1wcrmB/5YwzXbPs6X0lAEAIgGJLfCZ2eBuGxGv7COhU6gDOp17WbuZOu4Ccvo4o1PGbe2PiW7a/QyJWQIAW6eRm8gll4lhCgIemWperfFLZl9+LVe1RwvbesLO7TUapDoox9D65lwcerxMP379SefU7C+cLXFY5WEX/nib83zd8OurHM+jcQtjR0nbGT0Hz/5HjnNUlURMdXVnUV0hj6//rUQy/fxnEr/U2iHbTpmk0VtJC6m0PP5grZy3m+b91rHP7199VT5KKZ2RY//lLyU6atbsy/PbXNZwBYDC2+DGG37jaOdL585GTYWcn46ovCY9o6WIiKYeKdfEnWvlYmLiOTZ1y4WoI+VCc8sqWWgibEyMyPaO3KHha6i8Z3qMffKRTUmNbEp1FmLGVjy0ffs2EExUTzpaWGbGYj3DmU3M0e5nFMZyJnpNYzV7RQetfATY9TR5HBglZVLjPnPpfNPV1ZMAAK2JhCxYeAsA4KiTZaw2oc4Nv1fa/MMtc6WOea3y+3QDy+6XxyZCqmesVl+RTSMhxmm306X0mqgsyxllCsDrkec1Hnl9m9IuidxzkHUBr4y1PRZQ6XWOtysDUka0TGoTIT+QzTlbC+nwPqj/efj7YuBbR8h75byT5D33UaPEdS1cKftctTaGjm5pqE3flu1x2f6co2V83x0HmloSzp7rvm+/dS4A+ewKes3p0Ogn7U+Xtteon2M+FxD2SQMufetWa0RYQNt46qGbcOZ58nlofjTu//M87AjOOl+O+69/2jGOl4YW/l5x65lz+PC9Iy+y6fPnMLIJ4AwJIiIiIiIiIiIiIiLaDnhDgoiIiIiIiIiIiIiIBhwjm3rg1CqioWHiYZcBANbELeDtuX1X6mtq+57nSumSKdRYfKeUe18s5Xu3ouKgBgCAX2/J7lUnU/cTOn17easHzXGdUm3rtH4TIWXa2+10IDJR12md2AYpTSyCr7x3n02/TNxTqqNQ1+wj1S7l+3cDAOoOkf7Wh7II+XQKuk7FfukfEt0040SJB3C7gHJJiUJdlUxzN9PAjbm/vgoencIe0qnr65vdAIAf/OgXAIALvnYZ6mulj//3f78CAFx7jUQ2tXfJ8Y6rk23Kwzk0tsjjTp2unsvpFPkyWZ7NAa0dcoI/apQpl1Xlsq4sJP30+dz5GKfzLrxU9hWV9h57oBBR9ZWL5L3RM5qKiMg44iS5JpoojtaYXJffb9WYlFwKWHTHYHSNRpLBjGwycTfLH+zdH42LzMcYWa5C1FA6JuVwjvoxzDjQtjd/POac5NKFiKb8f38156av189EIoXqpdTx29Qq2WZxW7YwhjNRUNr+zlXVAIAx5VmEdNiX0qFimb40j3+gfXn7+t7vo5EQx/RxzOvm1WgxX5WUuUxh3G3Gy+Y9bN7TuTSQ6QYAjK+oBACs7ZbzXx+UceWuNVnEU/I6fdQly8Ia+TShUsrJY2V5VZkXazfKuNQkdrn0waYOqZtMA3tMkLHqhPoAAODT0+T3BJmsfLa0R30YXydZTT6P9GftJolQe2ORiZ8CqjRVzaeRUkG/7KO5Xfrz5OtRPPeojHlNTGutbrOpU8r3WqQv1T4blbq9+f9BtSRJ5SOpTFsAcNxp0t5O9bL9rb+fCyIaGPy94tZjZNPI5xnsDhARERERERERERERGTYs2OYPCEaAkXQsW4uRTURERERERERERERENOAY2dQDp1YRDS3jD70Ma1/vRzSPmQ7uMhPB9E60Nwy4g46qllee23o1tKzC41qdUt38xlxZUDSt3kSCLNO4o8aOjc4+uHzI3/d1SR1kdbqhiU4w88N9NYXtdLr6xDKZ4u22pA9jynJ47cnC1OvNOflL0q/6Gjn2P9wifb/o6w0AgMkTAghqYpRbu9XcLuVPr/klAODcr1yaj2yqLpd2KstkWviaRj0kPbRI0AWvR/rY0mGioOS4aivl+er1OWSz8rgrJsdXXyvT3jujci5yto01jRKnUhaSxpNpbU/zte66nTFNROR0wNGzAcjltD0h1x6fXtsSmv6xqluvtd1rpSyOuSEq0e6flljBZRs+kgUrHtp+O9/1tC3f5+5nFB6bOEkz/simnXVHajxQX8w5NPo6l3ueLaWJ01x2v3P95FOdA0egECtk6QVoyT35SE3z95AhHX+VBWXJ3xYB6Pqw736OtNfERFEFa6U0UVe+SgCA1+1C2sRyRPVaHRkPAKj2S4TTuEgW5Ro32twt7+mlbRrFp5Gn46tHY0xE2vboS7GqTR5MHS3LR1fKtuPq/Fi2Jg6gEIm02zjdSF/fnA0cso/ES61eb9qV189ElAb8boypNbGqUja1SjsbmuWYIiEv/D7Z7p2lEjtVFpZ+NLZKu9E40BaXZS4d/y96cR4AYNLhct0JeQu/vsnkpL3xGkXl0ySwJx785P8vfHPWHADAzTdd/4l1t6eTvqj/j6n29IqdJRou+HvFrWfO4UP3fn/ERTadds61fG+AMySIiIiIiIiIiIiIiGg74A0JIiIiIiIiIiIiIiIacPxSayIa0tYmXMA+l8iTnE7JdkvUD7rXSbnykd4bmmUmusk8n3ohkNapcb4KAICd0ueJFnnu9uenjzdn9b6tmWa+/G/5XXTEZZp0YyKnS7Su9TH3ek1kk63beMsK68yUf5ffsUlQ45BSWeDgY2Uac1dS9vH+Szf22kVVmawzUU2G1yPtd8WAdEYe/+gnvwAAfPV/LnPUnTQuhOY26auZlt4ps8vhdkv72awcQ2tnBmNr3Y5lybQ8/9ac/8u3+cMfXCWH55L21m9MAADKwlJ3Y0saujniSY2pqpG55zfN+22v4ySiHVvFQQ0AgLeaJeqiLuDOryuDXExWx3VZukNKRjXRNrDsFf3sNWMMM0bYHhE7Zoyx2+lSftx7umfMUDETQWlic3Y/o3f97Xlc29MWRWzpefaFnYuLI7PM455xWP6IlPvNxqurowCA6rCMOSeUyfk2kZQHjwbeeKfH+TXnfaQx7yPz3vOVS6lRS2k7B3j0fJftBACoDzjji97r8MCW6pgclnO5l44VN8XrdUc2EjrODWg69YRyqevVj4T2bvmMWPp2AlW6y0Rax8m6bvpUeR2DPhsrP5LXNhyUfY3WpNW0vuReL7BqnWzX1CLj54DGjVaV+/KnYOWaGADgob/Oc5yaL50r0YPRuI1u7cea1+Q6U3+IjNE3JWX5OLfsx++2EQ7I4+celYimQ4+fhZ5mfl6WPfPwTY7n76xM96o7FPzzb9LP87922SfUJKIdgW0XEhJHgpF0LFuLMySIiIiIiIiIiIiIiGjA8YYEERERERERERERERENOAsAJ4wUMd/kzm88JxpCpjVI2bVKyuAoKd+77ZO3NdPe3TLFGtk04NOYJLdGI6U0ygMamVQUy9RLcURCz7gEEy1lIqFcPiCjOUcus38T2ZR19sETgjcg0/nTGltU75MH7TrtfPfybD7V6Z3nZar3gTNl2vX8Z2R683GnzcJTD8njr1wkU51NJFJXt+zzj7fdgP+95nuyr4x8BHy4Pg4AGF0j/XG7Xfj5z3/pOPSrr5bIJY9Od6+V7mJjG9DeKXFamay0F0tK30dXyzT1nA0kk7L/tq6MllLHq+GBPo+F7oRsH/DJgVaVyc5uv3UuiIgAAPt+U0oT42c+C6Zdhum1cl1Z0KRRFBoFgqV/3X79o4L9JIYE78z7+HrDxNQj5XgWt+ln+Ls3D15nTOxN8Zjl4yKWzBglsUnKrP6MuPRDPZcdedFMA82MA8PjAQCTI87/Vq/sdmNSKOtYtkkjN6Pz5xYW7j9HSpPj0PlB3/sbzq/PPpcUjYFlHAi/5h4VH69bxo1W2QQAwGivXNOrAjo+9Nh4r10GjrtG5NwmtDmfvpUjPht+jTuNasxRwCvPa4qSUgFgY4eFXTTpaX2L1Jm6k7Q/aVwQALChOYm2TtlJJCg7SelgvbZKxs3lETc8btm+rkrWhYPSv+UfyTFlszbKNR6qQ/978N8lEumV05c+lgTCmkwb0sinrri01y1Jp1jTJsvry3L41xM3OY6nWqMMq/2yzW6jc+iSIT6S+iP/5jPObYaqqUfOxuKXRsZnB+14+HvFrWfO4d/v+T4y6eRgd2eb8Xj9+MK51/K9AX6HBBERERERERERERENIfwOiZGLkU1ERERERERERERERDTgOEOCiIY+E28U0KndWxLVZJjp7XueLaU3Anh0vraZMu4J6TpdvtvphRimnoqX96zTMwbhg0eByafK45wuszWPyUQ4mecA0vF27Y/M527JSJ1ROl29PelCxFuoDwDZnOV4HvJb+Ma3ZOq/yyXrvB659/zH234LAJg1+3J0dUs7//d//yfLLr0cABAMSF2fx8J3v/sd2W+X9L2lXaZK+r0ubV/6F/BbqNOop1RabvnHNZ4plpDyd/N+i/MuvBQA0Kn7jmvaiomhsmAj6Le0bVnGqCYi6sXE5Jh4mn0lug52DgsaNZsi1Snlsvu3b9/IaYRENRlDKj6kr3hJjbvJ2+MsKZf+FVh4izze66tSLrpDShM79MFDHx/5RL2ZceA0icj0a2RPu8YyHTY6jdc3yljp0DoZSx24s9R5YH6hmZk7ybqsDvGeXzNJHpjIuUSblLucMnxfG08AsHRwp2PfCh0Kd4Q0MynTnR/z2/FmAEDOK2N/n1u2SWWBcRpHZKKadLiLD7ul/Yl2DiGfnOfRFTouNWNO7U44KI8+2GShWyORqiKy7qON0vB7q7vy7bfFdEztlnW7j5W6saR85oQDbkRCEufUEZVfsey5s/Rnj4kyfg74csjouH3RB5LLNHmCxEIt+1Da8XuBtB5XHNKv8pC0M6pStp08Vkq/z4P6cyRGrrlTjvOlf8wFALTqca5AwczPz8JwMqSut0REtM1xhgQREREREREREREREQ04zpAgIiIiIiIiIiIioiGD3yExcvGGBBENfSbyYZ9LSt929zOktORyVxupQsQjnwKr43oJNLFJmW4p/VX9iy2wc72XrXyk77qmfU9At83mo5q8XpnDXqX91MQluFCYvjzxMIkHSGScn2iJtI1MVpb5dQ77b39znaNOa2cG8aSzrzfdKHFOv7z2KgBAW2cWrR0yvz2t+yhEK4kVa2IAgOpyL1o6JG4gpJFPHVGZch9PyrYnfXEW1jbLPv1e56lw6/FZlpXf16P33wQiIoe9L5LSxPaZeBpz7V585/bvE9FQktVcGh0vHTpOxjmvLy2qY6KahqPiCKrB0sf4sNorI6OKoIxhygMyBkpmLOwWlsc+HXLGdFz0pS9L1M4Df56HZx6WMc/xX5BInSPHyzYvrauSjRbf1bsfJmqrZ3zoEI118rospDM69kxIHFNHt7xfvVWTAQBpy1UYF6ejAICNmrWUs+V6v2tVBhu65XyPi0h71WE5pxV+KZd1uJHT4XGd1mmPyzYel6wI6MfHupgL5Z1Spy0uA9IVr94oKzWKK+KxEM3q6DcneUpufVql+96IDMqCsi6Rkoim9k4Z8Da3y/Kg30J5WN4I4ZDss0NjUR97QN4DMz8/Kz8ujumPc5tGnXolEQo15bLzPScFsNdk2cfbS2SfL2HzzPuMiIhoKGBkExERERERERERERERDTjekCAiIiIiIiIiIiIiogHHyCYiGj5S7VLuea6US+755G0yCSk1Tqk52gFfeTkAoE6na+e8IVmX9Be2C9RI+XHxAGbavkvnUFt6jzc8Wsr9ZgPRNbp/u0fdHtvkMjD3iMt0OnnI7YxjWv3aDdh1xqUAgMqgTOc38UkHHzsr//wPt8wFAMyafblj+4u/0QAA6OzOIqf9Oft8aa+qXPqzZFVcDt/nyscumRimrM6074rJ8nv+eGOvU3LUybMcdWt1Wnk8ZeOFx2Sq+Nculn5E49JOWmayI5a04bJARNS3nFwz8tdljc7IfzYQbY7GNx68cx0AYI9x8rm2ukk+rF55fIREmfSI6nl94RZs0zPyBwAmnyrl5mInB8tARTWVcrxW0UBlynkAAL0ywW9imVKFKqPL5D1WIamcqNbxVk7HSed/9VK8vETabO6SlgIabXlgrVzj5k9rkAWZGJDYJI+z6b77tz3jmrYkHmrqBQCAdKwZcOs4O5tyVEm3rSw8CUhMVV2ZlBs7WwAAzRn5mfVYlQj0GB9v6JB1JuooYwO1YTnBibScWxPrZOqsbZHnY4M5vN8mL1x0/lxn3xMbZXkuC7j0RbHlNXqrdQwAYOe47Gen6ixau6RKfbXss6lVXr+aCnnNw0F3PlZ1Q3NC60h7R35Oxs/diUIfvfp+eukfzuvTp0+Uui8tiGJUpbS9bF0Wffn6N+cgnpB15RFpcE2jnH/GoxLRcGDbFmx75PySYCQdy9biDAkiIiIiIiIiIiIiIhpwvCFBREREREREREREREQDjpFNRDR8mKn6Zmp9KVx6ubMzGFcmU5e9mppkpnOnbVlQ4bXRka4AAHR065z6vuKZTMyBWefVqejprsJ+vREpczq13jZTqp3TzYGc/isIeqWOpXUnHX5pvs8m2uiNp2W69fRjZgMAHn9wXq9D//KFEst06+/n5pedeZ7UT6Sk7b/cJPFL35w1BwBw803X92pnS5hYpp6+9OXZOPlLMsX89lvnOtYddrws93qAtm5OYSSizch0S6kRfFj+t8HrCw0vy+4HALyROw0A8HbLzgCA9ILe0YMEwF8t5W6nS1k83tmekUDbSynRVJ6glFMvwL6jJQK0NSFjqRYdw2zolsFac7QDU0fJODCRljoet1y/ykLyd4G2DUyulbHh6lb9W0FJz0RdROoeMS6jdX14ZcNOsjIdlXJXeU9jxUO9+zrQ0VtWH2O23b4oZXiclOZ6nY0XxsKGeS9pFOsedTVojMs52NjRpNtpvJNG9DXChboyGaPXRuScxnUs252S/mRhIafD7KBPHpgYrHXtzr/HHFuRQ43GO73e8xgs/b+DC4XzrVGrAY1XtSwpu+IWqsJmX9KP8irZPpGU9jNZGwGfvDc6uuR42vRjzYznDz1+FsbVyvad3T3/ryBMxNxRJ8/CY3+4oc86/3vN93TfNuJJeX/5dd+hwGbivoiIiLYjzpAgIiIiIiIiIiIiIqIBxxkSRERERERERERERDRk2OidLTGcjaRj2VoWeD4cysrK0NnZifLycnR1dX3yBkQ0POx9kZSeCParlqnLZqq3mdYdTUiZzVnoSMp06Y6UTCRrTmS0IZ16nu4Ckh3y2Femq3pMgc4m81O7YZmsJb0PbOKnzFR7bwS1ZTUAgFFB2YdLp4FnctKXpS/fiH2Pkqgltzab0gQovzbfkbSw8tXhGUFx0MxZePOZviOfiIh6xccQ0cAwUZQjMZ5pa5nxpDtYiPFMdTpLI5cGXJoVFKwHAOxTI2O6nWtljBdNAPVVMqhb1STjvy4dg9o6Pl38ksRxHnHSrHxKUlyTjNZ3SR/WJqSNQ0en8XqT7vNtjd8cqNfTXJOBQjSTKUNjAAB1oQAAYGN3DHjvVlk39UIAQCQk0UshPY21gSzCGrH05iZd2LnK2fc9z81Hiu1RISdjlEZbbYrKOUhlgYAOt6t0TO3T5y/+Q8aZBx8rcaG7j3Phz3f2GDfv+00p371Zyl1PKxyXjuPH144HAJRpf3eqyWFUhezf53WGUHQnZLCeSNqoq5bt1zfL/yv+8YBz3Lv/0bPx9nO941cB4LjTpM9PPbT5sfKXviz/TygLSh9iyRz++idne+dplGs0Ln13uYAH7+17n0TUP/y94tYz5/D+P/0AmXRysLuzzXi8fpxx/v/yvQFGNhERERERERERERER0XbAGxJERERERERERERERDTgGNnUA6dWEY1wu5wCBKoAAJ+aIFFLlWFZ1a2RTZYFtMdkGnh3Wso1cZk6XuORKduN8XRhKreZsp7VyCaPTE9HJlGYzu+XfXoDMj09nYrL8oW3SLnHWfnp7RUeuSzX+mVfyaz0oT1tYZQuC2odMyU9EpDnqQzw76eGb+zR/kfLVPPNTVcnIiLaaoz/2jImVtLE1ax8pH/tjKQIqKkXSJlNFuI3S7H7GVJq7NCuFT4EvTKGqwpJ2dgpfzPocenYTseBbhcQ8jrjRr1ueZA2dSygNS7br964RiqZ+FDzOq54qPR+l2q3L0rp9gMAqstG5Vd1aRTpaJ/0J5aR55MqsnDrMWf0eN5a1+xsN5uGVTYBADBGtx9bJpFIWW034LWxUeOb6jTO6cN2GY+v1ziss/eR5TUVHng8siyRlGW33Hx97+PpEeN06PESnxSWw0NVxEJnTPpeFrT0GOS512OeAx4dt7d0yroO/f/Ggmd7j3s/faLso7rMufyR+zY/zj/qZNmmPCTPwwEXfF7Zx8Y2OU9+fe73SR2P2+odW0VEW4W/V9x65hzed9fIi2w68wJGNgGcIUFERERERERERERERNsBb0gQEREREREREREREdGA8wx2B4iItivLAnwSn+SyMgCAneq9AIC4TtVuas2isVOmM3el5b7t+IBMc7ZtS9txFyIfLI1lgkY2mSnxvrDENgGALduP8so6l0/meK/df46sj36Uj3zqyEodv8vn6Hp0/lxUH3YZAEBngeOt50bWFOuAlymCREQ0MKwD5DPXfquPSBbqbUuifUys08fVHRFRTRc6n29JXNPkUwtxSeb8eIJSxptkcbYckZCMSzuSMgaqj8iYMarxQmbM57KBpAxdsfglifg5aKZE9JjYp86EBR2FYvyoiQCAtW09Yo+2h+V/czxtnXwq4K+UJy4dA2ek3K9GFts20BqT8+XVoXV12WgAQEijSqsCOSxcvwEAUKkxUEmNfDLnIJay4NcoK4+e/jEa3VSrp3/RR1LukU0jkZK6e+8qGa4nnC7ndOF66cTa12/A56dIQ8FplwIo/J+hWdM2mtrtfExSMl2IUQWA1qhGsZZbqIxImxbkNe5r3GteU9OeiVxKaj+P/Jysb+u28O4Lzqgnj9vxFG3RHAK6fTggZSjgchxDezyHw0+QNv/1xPCNfSUiouGFNySIiIiIiIiIiIiIaOiw5Yb1iDGSjmUrMbKJiIiIiIiIiIiIiIgGHGdIENGOZeUjwD6XAACCPrkERmMybXp0tUQkdcdz8OpUb5fewjZRTVGdFg47C7g1UsncsvcEpDTT87NpwO3XOjItOpGV7XeplHnca6NJWe+vBtx6Sc7KuozOuY+ZufcA1rx2Q78Oe7ho6eZ9ciIiGhh2bONgd2H42+UUKU0M05bEOg0XGstkBSphm7FdOiZlrFHKLYmfMucIALwRKfe+WJ9rDo+J+8zGEY1KfFN5ZR0AIJM1UU1SruqW0ut2YZxfBoW7zpDooLa4NGPiijwuIKBj2JS2c+AEiYTSESxaay/Fylc18nNag5Rdq6Rc+cgnH9+W6Pk++Zh2M5+ZDQCwrcJx5PT0tyZTAACPxpiui7phhccAALxuGS+b4zR/dloZspHOOPdRFpB1LXouK4LyPJ4C3Dr0bG6TMflBU+U1qymX19415VJUlkm868p1UsfSXQb1vwK5orG61yMrYxrBFdA63QkbbndWj0fqePS1OvhYiUxKZixYVqFvAJDRzK60bIpVrfLeKR4xm8glcyxJTZH1eQoxTiaqKZ3ReK+YlE/+nTFNRES0/fE3P0RERERERERERERENOA4Q4KIiIiIiIiIiIiIhgzbtvJpFSPBSDqWrcUbEkS041l4ixShBgDAc4/OBQBc85PvAQC8Xhdau2SadotOhY/pdPAOMy3czgFL/uJsd7fTpXTp3GjYwNK/ysMp5wEAWuNRAECVX6fsZ3UHi+8C9r5IHnvCUlfjocbq9PzUwQ0YG5b52u++MK/Egx4elr1y42B3gYiIRipv2WD3YPjbksii4WbPswEAFeEKAEBHMgkkmmXdsvtLb88t8T7wRgB/lS7U8WNOs4RMvKcrAHiCAID1CVmUsWUc2dkjdiid7EYjZPxY7XWui6al/YAbCHll3OhxSSRPe1z2VReR5bvU5lCvET/RpIwrM5UTAQAttZcBABo7iuLNTHyVGdPu+00pUx3YubpWHmpkkYkmHR2SBauqGmT5grn55qYfIxFNXUmpm9TjXPHqjTjgaFlXHTERVHIuPuqSOq3JFMaGvLpOlo2plH2ZuKKcDXRpf155XOKIDpwpx1uu0U2v6vIjPzcLXh22x5OykYlfGlcnr8tHjXG8/6FENYU0ifWDjVZ+XwBQFbLh09fERCGZuqaOxw1E4/KkLer8VtPulLTXEndhfHnWcTwZjWoy/aoKyIPaiI1dT5XjqghrrJf+dqej29bnVj5eKqbHl07LOh9/E0RERIOIkU1ERERERERERERERDTgeEOCiIiIiIiIiIiIiIgGHCfqEdHINPVCKRffudkqG/8z1/H8Rz/5BQDg8iu+jdFVMr+5tVumN6/slPncYzQ+aU3WX4hYSnVKaeucaldAykyi904tueyujJp52PHCOlvnYidbHXU73RIh4LZGblRTTxMPk8iANa/dMMg9ISKiEaN7vZT7XCKlRjjSDk4jODumydgDydb+RTUZbh0H+iqRj2qCRvRYmg+kY766sop8NFMiLQ86MzL+S+R020x3vumEDhW7NRopq81G3PIgkQXM3xxalixzaTNtGt2UyuaQ1u1DPqmT1XbDPhnLVgVG5ffZodFKFUdeCgBY0iXH4PHWweeW+iY+yUQ2lel4eYpH2m857DJU6LJFbbL9TuGcY98AUB6U+q1RaadT9+3T+KmdI958JFVHQmOK9NhHlUsbqUwh5uiIkyTSKJbScxCTbT59oiyPBIC4rlu2Ttpt6ZR41cqwHFR7dw4dMd1eX4qAHpeJQ6oIFR779eU3+ywP6jF4LXS2aiyUvm5ZfY19+rbYY1QWfo1+CmiZSDvbqzVxVm6gMuLMIjfnsjykcVgpGy59A5jIp4yW/3jgJhARDXU28p+gI8JIOpatxRkSREREREREREREREQ04HhDgoiIiIiIiIiIiIiIBpwFzhhxKCsrQ2dnJ8rLy9HV1TXY3SGirbX3xVK+d2tJm82afTkAYE2TzI9etUmmO2+KyX3cHCwkdcpzR1LnUMc3Srn8b4WGdjtdSjN9P5uUMjJeyrTOAc+lsWt1GQBgRZdelt+ReCbrgDkAgLDLRkindPeMmyIiIqItNPUCKV2aifLebYPXFxp8u54mpb9KykV39K+dXU6R0mT32HZhvGdiOa0eickud75+ha7qyDirBEwcUs4CUh3yxCf5RBEdF1Z6ZeyYyRXikwyvxh0FNWaoNeHKRwRF0xr9pHVHaaxSZTAHv/bHre11aUSSR9tLZS3YOmStDmtkVNq576BPyhce23w80AFHzwYAhPw2NnTKztZpvFS59iGgsUw5G/noJ6M65IxPsm3ApX1+6R+y35mfl4impg6pFPbLNgEv0J109tVEXKXNSSk6Byb2qHhfAFAZLuyzQqOevPpCpDUjybIsLFojjZpza9ox5zbssxHQflRo7FIq44zV8rgLffFpO5VlsjAak0oBv5V/bo7Dq9s9fB+jmogGGn+vuPXMOfzLnT9EOp0c7O5sM16vH2df+DO+N8AZEkREREREREREREREtB3wS62JiIiIiIiIiIiIaMiw7cJstJFgJB3L1uINCSIa2UxU057nSrnknk/c5KzzZ8PnlQlkE0fLvOlkWmKZoin5BHFbNhJZmQ7dmfUDAGxvWe/Glj/o3L9b6iKpU+7twrz8VE7a211m4WPZ1AulylvXy773mw235f7E/o8o+0tcFd6+fnD7QUREI8fiu6Tc4ywp9zx3i8YHNEKteEjKfSXWB1MvKLxHSuEyWTqakRMeC6TadJ3PWddEOLmDqA6GAAD1IdlutI4HYxkpu7RM2oAnUAEA8FsyHvVp5E+7Ri9F3IXxaU5/6ZGydZ1G/2RsCy1JjYnSKCQT4tyZlvFvY8KVj2/q0mUmyqhN+wMAk7TPL/5j3secGLG/iWby6VhasxpMZNIHrW74dNlOYdl3XPdlYqeK46hiesyuuDw3vSoL2EhrdNT0Y2SfTTrs1vQkNHZJQzWhXH67qrCUJnbKr4luHjewvrVwzABQqRFVJlYpmrAR0Pqd3bITl/bZnLeOWA5jKuWxiVFK6X8Ddh4lddOZQgxTa1SWRTT11ZyvxnYpw/5C9nYiJfv06xvCREu53RaS+rone0SBERERDSZGNhERERERERERERERDRGf/vSn8eijj2LdunWwbRunnnqqY/2dd94J27Yd/15//XVHHZ/PhxtvvBGbNm1CNBrFI488gnHjxm3Pw+gTb0gQEREREREREREREQ0R4XAY77zzDmbNmrXZOk888QTq6+vz/0488UTH+rlz5+K0007DWWedhRkzZiASieAf//gHXK7BvSXAyCYi2jGkura46l//NA+HHi8X/Om7yRT78aPkcrm+XeZYdyQLF28TqYR9LnGWmW4gq/PQe0ZB7HKKlG6dwh8ag9aUTvs2U+EX3ymlRjfB5UYyt8WHMTIwqomIiAbK0r8WHu/2RSmX/21w+kKDL94oZbAemHKePH7/7i3f3kQ1heoLyzyaA2TGg6Y9077lwuiQDO4maWyPieqJtksElAnrtHM5pC0ZI6Y1aCigsUBZEzyULcQ4maggk+vTruPLLCyks7KwOeeMIqr2yPJyj42gPva5pX8tCY058hQGo8teuREAcMLpMm7O6qqmDmnXrc2PrbYR1CFvqw7JTVSTpfFTo0I5bOiWo9WUoXz8VLVfFnSlLJRpO6Z/5QE9XxpD5XYB/3riJgDApMMvdRyf2cbEUE0K5vJ9NlFI5rxV6EuXywF1Fc74JY9J59IwcI8biASlzZgO1jN6jk08UyKFfKyTidNKa4xSVGOnAj7g4fuk75/5nPOcJjVKqras0IZZl9V9ZLXheNLOb2v28ewjN4GIaLjZ0b9D4sknn8STTz75sXWSySSampr6XFdeXo6vfe1rOO+88/Dcc88BAL785S/jo48+wjHHHIOnn366tA5tQ5whQUREREREREREREQ0wMrKyhz/fD7fJ2+0GZ/5zGfQ1NSEpUuX4tZbb8WoUaPy66ZPnw6fz+e48bBhwwa89957OOyww7bqGLYWb0gQEREREREREREREQ2wdevWobOzM//ve9/7Xr/aeeKJJ3Duuefis5/9LK644gocdNBBeP755/M3OOrr65FMJtHe3u7YrqmpCfX19X20uP0wsomIdgwfPCrl1AuAxXd9YvXXn9Sp3qNlqve9d8mU9DPPmw0AWLEhh9a4zNve/dNSp1VjnJqTOm/a8gDQ+egmoilQJaVL52y7AgCAap8b+4yWOdVr2qSdVfs3SB2NAKjwAB1vzt2CgyUiIqKSMKqJsikp7UwhYsnY9TQpVzzUezszxgvVSemSXwKMDbmxPq7jPXdQyn01A9ol/w23XBayOs6LJmRVTCM81//7BgDAxMMuk00sKx/1Y3KYqvyS2ZPW6KWOtAWP/slhRuN8an1S18QgjQplsS4qmUNtGueT1roVPnnQmnLBlZKGwl7ZsMwr63wmQwqAhlyhuVPKN59xxgJVH9Sg7WeRypp4KClNbEW1RlYtb3ejPiiPkxov1fzGXADA6M/I+Hu3ihw+bJUO1ISkAXNOzHG7LODAmXKe13ZajnXlbqk8OiTnPJ4CujXqKan9GxWRPvj1NyVej4VUxpmx4dLoLLPc7QI6Y7LdhjZZN65a1qU0aingA1J6vn09fgtjopySaeDoU6TvZo8mqsmcL7voeM1r3J0o9AMoxDQBjGoiIhqKxo0bh66uQqx4Mpn8mNqbd//99+cfL1q0CPPnz8eHH36Ik046CQ891MeYRVmWBXuQs7B4Q4KIiIiIiIiIiIiIhgzbtmDb1idXHCbMsXR1dTluSGwrjY2N+PDDD7Hbbrvln/v9flRWVjpmSdTV1eG1117b5vsvBSObiIiIiIiIiIiIiIiGqerqakyYMAEbNmwAACxYsACpVAozZ87M16mvr8fee+896DckOEOCiHYsWxDXVMxENRnjR0vEktuVxPwPZJnO2s5PK8f+c6T0BAHoXOqcmW+tz00UQCYOAGjNBbGgMQIAOLBe5lmv+pfse/IMiYRaFy+p60RERET0SUzkkon33OurQCbRd93dTpdy+YPA5FPlcaBGSk8YADC1QsZ6nSmgQvONyjzOeKH1/54LAPBPb0AsY+J/ZN1HXUWZSAASGiUU8dio0Xgjy5KG2uMuRx2gEK0U0qilsM+578aoGy4NBBrjl7I+IhFGqzvk1wOxnIV6bSegfY9nZF9dmmxV5itEPXQkZN34QyVeau3rEjfVqlGjrQAOPlaiiNLaV7dLts/q0Hii9gEAfBqttJdGNXVoLGoyY+ePPaHnK6rRUubcNHW5UKnRTzVaJvQcu/Q0mUio15+cl4/E8ml/IjLUh0srZ7KA121p3zWGSaOaTHuWlR/xozKs5ytl2kH+OL0azZTRQw37pYGoRi7lcoX6iR7be3r8KWkyDbj1rZLQ/2aYKCjzXnrhsS2La5pypPxf4/2XbvyEmkREtD2Fw2Hsuuuu+eeTJk3Cfvvth9bWVrS2tuInP/kJHnzwQWzYsAE777wzfv7zn6O5uTkf19TZ2Ynbb78dv/nNb9DS0oLW1lZcd911WLhwIZ599tnBOiwAvCFBRERERERERERERDRkHHjggXjxxRfzz6+//noAwB//+Ed84xvfwD777IPzzz8flZWV2LBhA1544QWceeaZiEaj+W3mzJmDTCaD+++/H8FgEM899xy+8pWvIJfL9dzddsUbEkREREREREREREQ0ZNi2/BspSj2Wl156CZa1+e/QOP744z+xjWQyiUsvvRSXXnppaTsfYLwhQURUgoBOvQ8HXagIyHxoM03dRCt1peVTZmPSC7j8sqFby2SHlC63c3l8E6Ia6+TzlgEA9jhC2lv6sk6f3r9hmx8PERERERVZdEfvZSse6r3M/FZBy/FB5+qA20ZYY5PK/fJXiNmc/FJhvdbZuzoD82uGaFIeVWnd2k/LOHB0WUa3Bbq0jl//F29imVa8OhcAsM9Rs/MRTf9+SuJ6Dj9BopJyGhNUG8zlY4XauqW9NzZ5zUFJke7C0gW3AQD2PUpik0ykUVD37Sr6/YhXI5bWvtJ35M/hJ8xCMuOsa05fp8YxuS0bQe2GiXNya0xR0JvVc2AhltZzoENpv7ZXpuff783lI5G6NM6pwpzTMtvRB6AQVxXQfZsIqUy2ECnl1X2ZGCbT9+LIJhOTZNaltR1zmmIpIKaJrRUhPfaYVE6bCKdA719Wmeem/UyusDy/zx51tzSqydgU51eLEhHR9sVPHiIiIiIiIiIiIiIiGnC8IUFERERERERERERERAOOkU1ERCW49ue/BAB8/+qrEFknXxRkQ+ZOt8TkHq/HMlP4c4BLL7NunUdu6ZxvW+dma0wT/JX5dWa6dW1Y2l2q+54UymHVtj0cIiIioh3bB49u3XZ7XwQAaE5JOE8mJ+PBVM5CuUYqvfmyROjsf7TEHx04U2KUAl4gnjIxTFJ3Q7eMByeUyVgxoUPFRMaCJofmBbT96cdIu7ZdiBc6/guyDxMz5NMhqd9ro1W/69Kj0Uj7VWW077J80Yu3IXJgAwAgrV96GdR9mX6a+CmpPw9AIb50p+qc7kvWf9hsoTwg23UmZLt2jWoarePdZAaoCNn58wIUoow2dso2bqsQqWQitcu03eYuK7+NiTAKaDRTm8arVgalwaAv3/X848ZOqRPQ46uNSOnzAjlnOlc+Ssr0xYVCHJPpV7fGa3m0blnQzsdKmbo9jzORKmzv1dfr+Ued8UtHnDQr/9ilbb/0j9IimoqNP/QyeF1yIM39boWIaGDYKFzTR4KRdCxbizMkiIiIiIiIiIiIiIhowPGGBBERERERERERERERDThGNhER9cO1P/8lZl16OQBg6RqZCx/0ynTnjrhOvXdbWB33y2OvzAdPxNukgVRMShPh5PLC3CNe1SzlzjXSnpnen8lxgh8RERHRgJtynpTJDik/LtbJJWO8kP6pXzQr48CQuxCJdNjxErOzMSrrghrVE/TacGsdEwe0W7XEJ73+pMTwmDimiN/OxwBVhaWuifyxNC50VbMrH7vU0i2liReqCWtkUgzYGJXxZ0jHrsbilyR6yTt9DgLaLxMnZAKaTASR32Pnx6hvPyfbrXz1RgBA/QlyvB53od1jTpVlXRpXVOHXaKQyKde0uvD8o9LOl86VdpvaZZ0ZAkf8NiIa0ZTRfnVre5miQzHRVjGNu3JZzjrmlyBHnDQrf37qIrLSRGSZ47YBJHVZNCFlWQCOfuVsIJXRiCaNiQr5pDQRWtkc0K6viYmJ6ow7+5fKFNpMpmXhQRrvZdoxx+12FR5vjXVJF+y3rt/6hoiIiErAGRJERERERERERERERDTgOEOCiIiIiIiIiIiIiIYM2y7MIBwJRtKxbC3ekCAi6qebbvwtAOCML8u08k0d8ulSplPJ/R4bbp2CvSJqJqT1mJjm0stwJo5JNTUAClPrvbrKTIO3DpizjY9g6DvyczJNPaJT4//5t5sGsTdERES0Q3j/7j4Xe6fLWCzd3VhY+O7NAADPIQ0AgC6N7vHlbCSylmN7E83j98hYMegvWqfjv5f+IWOdAzQOyWfq+oDXn5znaO/UM2WcZCKFdhmVQyzpbOfgYzUuqksjhVxAmV/iiao1xslsYyKYOpNZrItLh8Z4C+NaAPj3U4Wx2O6fvhR9+dcTvcdrHZpWmslJPyoC0gdLz8mEqhxcR0p761tlXWdCVpoYo4AXiATlcXOnlFltL54utGuirMwvfjr1+Eysqok/clkSmwUAYR1rmv6YupUhG2lJ0crHVZk6tkZApTOFZaaO6XO6KGLJ1ImnCvuXYyiUJvrpreecr/VAYVwTERENBkY2ERERERERERERERHRgOMNCSIiIiIiIiIiIiIiGnAWACZYFSkrK0NnZyfKy8vR1dU12N0homHkzPNkmns8KZfVRBpI6RT6j9rl/u/K9oQsSLZK6ZY55fUVdajSqKf1Mal7xM4yP3zFRnn+/ks3DuwBDBMmxslEERARERENpJ0PuwwAYFkyVlsdd8NOtMvKxXc66ppYpyqPjVFByevxa0SQ26XxRxopFPIDTz8k45kTTpfxjYkHMnFDKX2eySEfRWSiLE3Uj9HeDbRr1FDWljKskUSZXKEdv8aCRvyyrjvpjJbaGHPlI4fGlckxvPlM/8dd04+ZjQ6NX4pqtNLe9dJubYU8/3CjjX9vlAM0MUL7HCVj67GV0pmqMis/zs7p8Wxohz6XdtwuOx/j5NLz3ZmQsXRat4n4ZHkqa+Wjo8w21RFdlzHtAnEdz5uIJfM6mAimdKYQuWqit0wsk1meyRbORz4WSvsV0Dis8oCNVx7n+JZouOPvFbeeOYd//H8/QjqdHOzubDNerx9f+fo1fG+AMySIiIiIiIiIiIiIiGg74A0JIiIiIiIiIiIiIiIacJ7B7gAR0Uhx393zAABnnS/Ty/1eIJ6SKdjVSZkOvjIa1NqVUmTiAIDGeBpjIzKff7ROHW/RGXxhX4/5+Du4zUU1ffYUiTp4/lFOdSciIqJtx8T6mMieyVYWm9wVAICOHnXH+aXuxKpsPlLJ5UxEymcmx5PA8V+Q8Uttufyt4LoW2chE/FRFpHz0/ptw1MlStzUqy+qrpOE3V8u2mRwQ1PgfE9WU0OihxS/JOHWfo2ajTGNCPRoltbZFHpiIqbDXxtKXJSp0/eZOSgkWPDsPu3/6UgBARPu1sVP6XhmWOhujLthJPZv7ztLjkTqpjGzz0SYbo8qlijmHJmrJSGWtfNyUX//8Mh+tpHU9LhPZVNi+XmOhFnwk56LxPzcAAI46eRa8ObMvKc3r2aUxVC0xF1a/dsMnngcTQbXwhXmfWJeIiGgk4w0JIiIiIiIiIiIiIhoybNuCbVufXHGYGEnHsrUY2URERERERERERERERAOOMySIiLaRr1x0GQCgqtwLAGhpT8GtU+HTOtV8P53rHU2FAAAfxMoAAHaiFYvbqwAAUytluryZXr62UxqZdPilWPWvGwf4KLbciafLdPq2buD1Jwc/JslENU0/RqbDL3iW0+GJiIho673zvIwpTvqijH02dthY8WrfY7KJVTKOe/mfN+UjeoyqkIwHIwF5HksWxnttURkjdsRkgRnHmEjKA46ejU5J+sxHLq1rkdJEFGVsC1Uau9TcLeNHn1tWHjhT2gn77V7xl4ceL+sGcjxXiEmS42tNyN9GRhPS35XdbiCrB2jJOgsSdWrOUc4uHGuuR3xSRp+ns0BS99ESl3ZMjJXZ1kQvZXKAT9eZZdMnSH/aq+WcdMYtbIoVIrEAYHRYHrz9XGljTUY1ERERCc6QICIiIiIiIiIiIiKiAccZEkREREREREREREQ0ZNj6b6QYSceytXhDgohoG0ulZRp3NleY/j22VqbNB3wyDby1Sz6KKs2U+65KtGek7lvNUk4Mm6n28jyesTD2UxILtf7fNwzoMRQ79UyZsu5xy/T39a3S56VNLkf/horiqKbDT5C+m9fh308NfrQUERERDU///NsnjyM8Oi467PhZWN8pYyUTVxTWCE9bk4k64hbWtsv4KuyVdSGflAcfK2OYjAwd4XIVfo3xokYumXHO2tcL48Kpn5NlKc0XiqWl/e6UiUHK4ZhTpc6GDo026pZy1xmXAsBm46i2xuKXZHw26XDZR5keZ2XEfMGnBfhq9KEs8+tvK0ws5+EnzHLELQGAy5J2gpKYis6kC1n90tBCRJM8T2iUk4l0yuYsfNQhL1hCx+/jqmUjr9t0xUatLeveapWF6//N6CUiIqKtwcgmIiIiIiIiIiIiIiIacMPmhsRVV12FN954A52dnWhqasJDDz2E3XffvVe9H//4x1i3bh1isRheeOEFTJ06dRB6S0RERERERERERERExYZNZNORRx6J3/3ud3jzzTfh8Xhw7bXX4umnn8bUqVMRi8UAAN/5zndw+eWX4ytf+QqWLVuGH/zgB3jmmWewxx57IBqNDvIRENFIdaROjf9gg8yp33WsLPd6LNzzR+eU9y9fKNPUfTot/4E/y5Tvo0+ZhXhK6qxul+ngG5JyzzikU/THhnLo1mn39YdIdFPjfwY+uqmqTPqzZqMcXyojfejQqf/Nb8wd8D70V3vcTNmX8tDj5bV6/UlGNxEREdG2FwlI2dhhoTNdFEcEwO+RMV1Cx1IBj41yvyxzadW0xgmZ6KbupEY6+W34NZboC2fPBgDkNJPoiJNkfON2AZVhqR9NyjoTTzS+KqfbAKmMc18m2mggopp6WvUv2cf4Q2Usu2aj9GtKeRZLuuQAZ+6UBgCsbbUc24YDgM8jy7ri0umUHkNax9Gjwrl8/S4dSzfFpKzyyzqfW7aNZywE9LE5B7GklEk9R153Ueb323NLP2AiIuo3G4A9gr54YQQdylYbNjckTjjhBMfzCy+8EJs2bcL06dPxyiuvAAAaGhpw7bXX4qGHHgIAXHDBBWhqasI555yDW2+9dbv3mYiIiIiIiIiIiIiIxLCJbOqpoqICANDa2goAmDRpEsaMGYOnn346XyeVSuGll17CYYcdttl2fD4fysrKHP+IiIiIiIiIiIiIiGjbGjYzJHr67W9/i1deeQWLFi0CANTX1wMAmpqaHPWampqw0047bbad733ve/jJT34yYP0kopHvpX9I/M/p58j0+ZZOiTZyu6x8RJOZht/SKVPF//k3Z2TQc4/ehKNPken208bJ9is3yYS+D7vl3rEFGwFJT8KartRAHEqfMlnpR1qnrpspkxU+OZbm7daT0i16cd5gd4GIiIh2IGbMl7UttGmckN+SwZMZl1gHzAEAhF02khorOUbjhMaXyzjQp/9T92rMUyZbGIu59c8KTbxQ0CdlRwxwu5wRULuMyuW3BwDLAmI6jFz2ysBHNG3O2tcldtRzmEQ3HTQph5o2iWqqCEnnuxPOcIunH7qpEJXaKoPimqAcn4m4sm0gmXFGPdUGpE7A44yxqgnm4HU7z1dHTB6k9HxF/Dbefo7jSSIiom1pWM6QuOmmm7Dvvvvi7LPP7rXO7hEuZllWr2XFfvGLX6C8vDz/b9y4cdu8v0REREREREREREREO7phN0PixhtvxCmnnIIjjjgC69atyy9vbGwEIDMlzGMAqKur6zVrolgqlUIqtf3+0piIiIiIiIiIiIiINs+2R9iXWo+gY9law+qGxLx583DaaafhM5/5DFavXu1Yt2rVKmzYsAEzZ87Ef//7XwCA1+vFkUceie9+97vbv7NEtMN58F7ndO4zz5sNM2HcTDlP6VT7E0+X6eblYanhdllobJXp5O3dUieiU8+nh2WjWMrC+20yPd3yBgEAR58q7Tz7iDMCalswEVKL12hUQE762pqQyXVrE1bfG44w+x41G2bc0BST85+UlwqaZoXo/LnbvV9EREQ09FiWjI8iPht2RiKIEm6vo46JcPJZQMTtjGrK6dgirZFB9VXSXmfMzo8RPW4zBrP1uTxzWRLbBACtcRmvVUdyjn173MD8Z7b9uLG/Vr8m0U0HTZoNj+Y3mHgprx7X5BkSgbpnfQ6rNsmxV2sMU0YPz6Xn/e3n5uFTx8kYtikqywL6Ww8zbtuk5yaQspHRyKzagOw0rOPv8oDU9Ttfui025Ujp8/svSSzWvkfNxrsvMPqJiIgIGEY3JH73u9/hnHPOwamnnoquri6MHj0aANDR0YFEIgEAmDt3Lq6++mosX74cy5cvx9VXX41YLIZ77713MLtORERERERERERERLTDGzY3JL75zW8CAF566SXH8q985Su46667AAC/+tWvEAwGcfPNN6Oqqgr/+c9/cOyxxyIajW73/hIRERERERERERERUYEFgAlWRcrKytDZ2Yny8nJ0dXUNdneIaJg7+UsyZby20u1YfucfZHr6t2ZfDgDojmcRS8ic886YXJbDAY1I6pLnq1rcWB2V6eR1QbmfvN8YiXMK6HTyxx7YNlPwxx96GVyaBrAxKQ+SOqW93C396Xhz7jbZ13BSfVCD43lbVs7JaG8OAX2JTfQAERER7Xi+fKFE9SxaY+PtVvP3fzJ2qtXxWsgjz70uG2GvPPbrslhaxhaLXpR4n+nHzAYAdCWtfJzT3uNkzOjW6KaOblmRzhbyqbt1/FYVlgUJSY/Cq48PnbimYuY4AWDBs3LsBx8r4+jVHXIed63KoCkqcUvdep5qgnIuygNynEEfkDMxThoBtaZVHgS95rzL8reem4fxh14GoBCV1ZmRdnerkDG322VvXcTVNGkf/+X4kGhHwd8rbj1zDv9w84+RTiUHuzvbjNfnx/9886d8bwBwDXYHiIiIiIiIiIiIiIho5OMNCSIiIiIiIiIiIiIiGnDD5jskiIiGo54RSudcINP4z9Pp/K0dErlUHnHD65Ep4hURqZtMy9xxlyXzzluiOSAqjzcmZBr5Mw87259y5KV4/6Ubt7yD+8+R8u3rpdz7YgAybT2j0901SQoRjWrK7sBBf62bialq3L7dICIioiHqz3fKOOz4L8wCWmQQZWl2UPMbMt6KHNgAAKj0FqKHTPRj2CfbHDRT4oo2aETR2tdvwOQZMn40Q7GMDsosjdm0ALz0Txkbzvy8bB9PybqhGtVkrOtyIaKRSia+KSnDZAR0DLqkxYMJZTIGHhXWqKaQ1ElrXZ8H2NghJyTok+2qQ1LXq+fYRJ0CwKQqac9ENq1qk0rrolKGPbmtOzBGNREREfXCGxJERERERERERERENGTYduG7kUaCkXQsW4uRTURERERERERERERENOA4Q4KIaDu6966+45QOO34WxlTL9HKd1Y94Um6fdyfkud8DVPt9AIBWjXOaeqRMaV/80jzZJm1hV53OH9UIAJdO40/lCs/NtHQTHYBpDdJeRVa3BdbEdMOsdCBqB+R5LlPaQRMRERHtYKrLXKjwyliqo7tVFu7fAACIZi0tAUvzlnZySzTQohdlTLfzYZcBANp1PIf9ZiOekccmhknX5KOIuhPAKWdIVFNHTJYN9agmo/E/N2DS4TKGTclwFFkTG+qVB60pN1Z3ycFWaLxTJCCVM7pNzgbeem6eo+0ZJ8o5CfvleXdSyoOPnZUfExs1QdlXXM/7ypgbexwh/Vr6cgmxqMPE+EMvw9ruNAAg4pP/Z0Tnzx3EHhER0Y6AMySIiIiIiIiIiIiIiGjAcYYEEREREREREREREQ0ZNizY+fmAw99IOpatxRsSRERDwGtPFqbTn/RFmVZuvvAoqpFNbhdQ4dO56zrBLaVT/nf/tEwlXxOzUKlX9qBHI58yUrf5jbmFHe59sZT7SeQTUh0AgMUdFQCAnUM2KryyqkOnwFua/WTD3b+DJCIiItpBZHM2plRLzOW/E0FZ2PWhlIFRUnrD8FsyXmtOyThrokY1rY6b6MxUvs2cLWO6De2yLqBjPY8OzSwAj94/PCKa+mLbclwW5LhMJGkxE59kYp2efUSO9+Qvyfi5sV2imIBC7FJnXOpmstKuiWlqjblQEZAnC5517uuAo2WMPNWTQUtczvtkjUVd+erIiW5am7AAt0Q11frkXEQHs0NERLRDYGQTERERERERERERERENON6QICIiIiIiIiIiIiKiAcfIJiKiIeaff+t7qv2XvjwbliWRTTVZKZe3y2V8YkTmrR8wKgNLZ/gndJp6IC119zpZpq+H/EBLl9Rp7JL70uuSlQCAdErmtDcmA6j2yrTtjoW3SOUD5kiZTW7V8RERERGNdPGkjZBfHk8ql0icVZ6dZYFGZVoWkEhpNmdWxmDRuMlf8jiW4/27kTukQdrWMZ6JHlr0jMQN7XPU7G1/INvJQTNnIaZj1ndf6B3VZCx9WeKSphwp8UnTj5FjTmsck9cNdGv8VVdSxrkhr7RrzldjVM7xmtdu6NX+gTOd0ak+t/wDgGZtr/4QidVq/E/v7YedTALQsb5f47CIiIgGGm9IEBEREREREREREdGQYduFG8QjwUg6lq3FyCYiIiIiIiIiIiIiIhpwnCFBRDRMPPDnwvT1Tx0n08nDbrnFbqbuT6i28fiDfUc+va/lqWfOwr+fctbZdYZM0W53BwAAzYkMNtheWbl/AwDAzmbkuYlwIiLanMmnSrnyka1rZ5dTpPzg0a1rh4hoO3O7LFRF5PHzH0nmT4VH4zDfvgMAYAPA1AukkkvHXbk0AMDyVwAAjp4gcU/vljcUtS1lmd/5p5YLPybqaKh785m+x6+bY8a+plzRIWV9MIeIT85LTUiimlKSbIpMVupU+mV54NOXojXp/BvNbE4qm3innA1UBXK6VurGMpqPup9GZL0zfM+71xdEep9LABTisIiIiAYaZ0gQEREREREREREREdGA4wwJIiIiIiIiIiIiIho6bP03UoykY9lKvCFBRDQM9YxcMlZswbaP3HcTJh52GQBgzWs3AChM+V/RmZJKuRTsjE5Pt7VkVBMRbY6JaApPAAAEvDLETGgMhIOt8W+xjVJ+8Cgw9UJ5bGkMhrdMSo3OwF5fBRItuv1mRvKWtfURUUTb2l5flXLRHYPbD9ruHvrrPHz+TInY3K9KrnsfdUl0E6Y1SNn9EaxANQDATnXplhJiYCc7AADPPqLvnb0vBnJJAMDG/9w1sJ0fBhL68eDSj42gSz4b2pIutMlpwpiwVAprhJP5iInH5Rwvi7rzy2o0TqtF1/m0vaDXRiLjjHpaE9OgCZd81kUObEB0/txteHQDr+6QBgBAyJ3D6gUc4xMR0fbFyCYiIiIiIiIiIiIiIhpwvCFBREREREREREREREQDjpFNREQ7IBPVVHFQAwDA7ZIogX1qJErA6wrirVaNFYDl2NZM8U5qklPYXYhPyenDxnhaHrh9UiY7AOgGixkzQDTiaIySiWry65+8hAIBRLyyzm1Jmc75AQBrvbtIpf1mAy653lTryDSml4uQtteaqQA8YVlo6XXKbWl7euFJRwvRUcFR2lBRLBQA7HKK8znRtmTeXwDgDTnX7fZFKZf/rX9t73GWlEv/2r/taVA8fJ9EbH7h7NkAgJa4XK9ak5o3tPxBeKbPAQCkXQFZltLrVmgsAGDXGZcCAFZ0ZoCMiXUinw5TE1n5LKjSOKVkBijXx/oxkY863VkjS42x/hy6dfsWjWVK6OfP6IC8VgtfmIfagxsc6yaGZN2auPl8A7CvxHPh3b5jVYeajf+ZCwCoP+Syj69IRDSY7M2ntQ5LI+lYthJnSBARERERERERERER0YDjDQkiIiIiIiIiIiIiIhpwjGwiItqBdbw5FwCQOkqiBBa+MA8AcNTJs3BcucQ4eXRKfFOtTEVPZSRm4N2mqLSx+E4cfKysS6RluvukKrnf/fYm2TYBALmUPNnnEildXinfmbdNj4mIth/rAIka8WgshkdjmYIuKcNeOx+ZMa5Ssi70EoJAp1wnUjkXXDp/2dLt96vO6XOpu6rFhXhG6rssM9fZOec55Y2gxVcmazIaG1e2k5TmumPscRbgDsrjRMsnHygjnraNXU4Z+udyc7FeU87T+EH0jgCrkPixg2oziKbkfdqtn4cpfb83dut/uyafCqx8pPR+mR8Gxo4NS7GkXK/MtTL/eu72RaTbP5DHLvNfc12XaAIAfOiu18UjLbdi63Toz5gZy24sWmdirvwe5/nK6NNUTrbN2YAJKB3jk88dl/k86+NPN6P68xzREjl50JFxA6m2fh3HYGv8zw2D3QUiItoB8YYEEREREREREREREQ0ZNkbW1y6MpGPZWoxsIiIiIiIiIiIiIiKiAccZEkREhHdfcMYmRRNAVUQe//NvNznWHXOqxDPtZUuFTO2liKflXn9Ap8a3dMv97kQyJhvlEoUG0hp54Qlvs/4T0eCw37oeABA6qAEAkNU/+4lmJfPC4wJ2q5VIi3DAuW1VpBDh5NMRaUyT3Xw9Rqh71ufySSVmXUJTmZo6ZF8tcRfCOd2/WyuZjbJJKT0a0+T2Fx5HxktpYuViRcEfwVopBzomZ3tGGZljAbZ/7I9lDd3IocmnSmneM1POkzKg74FkO+DRN/Ge50oZHAUAOLxeIg7LgoAvLm/CCn0vbtLPQ8snn3l2JrJ1/QzVbd32NCie/LuMpQ4/QcZQHpe8L1Zkq4GE5lva+qbxVfbdyDvzgKkXDGQ3hxUT1VR/yGUACtFDk2dcioR+BnlNHtP+Ei/YnHL+bWqd30ZtUM67+fxqS8hrUxGQ5bvOuBSNOozdXT+3lrXr54UldSNuN6L+allmIgIX3rKVR0hERDRycYYEERERERERERERERENOM6QICIiIiIiIiIiIqIhw7YLk1dHgpF0LFuLNySIiKiXN5+5abPrqspkGnwkIJ+mqYyNlKRVwK3z7jxumdJemwwBAJqjSeQn5aW7pFxy27btNBENGhOdUXdIAwBgp3K5KIT9gEsuGeiKS2kilzwapeGygKwmlWhV+L3yKJ2R64xtAZpwArc2GPTJutEVZmSfQyIrjUYzZpHmOlnaclZzN7zlgEs7kk076xZza0SPiXUqjjvqDxNTZNox/Sr+30kpkUY9+7Ml2wSqpPRXb5v4JBN1BAArH+m7f6F6KWONm2/H1PWVAUvu6X9/StHX62nOxV5fBQBMDkvk2MpsGPCVAwAiHnnd9qmVN9rEUfLmzGRtlGkSWGuXvKbZnLy5V3bmtq6v5j2Syzr7PtSir+hj+b1Srnj1Rnmwx1mAJ6Rr9T2S1Yul2w8ASHfLz83Oh12G1e3t26ejw0hLRn7+dj5Mopt8bhsrX73BUWfsp2Rdveb6xTPyM1wVzCGelsfRlJT1EfkZM3FP1aFc/vUaf4qJ3PI62hlfkclfzl9e59+GR0dERDQyMbKJiIiIiIiIiIiIiIgG3BbNkFiwYEFJjdq2jVNOOQXr16/vV6eIiIiIiIiIiIiIiGhk2aIbEtOmTcNvfvMbRKPRT6xrWRauuuoq+P2cqkhENBI98Od5m113yhkylV1nxKP5jbnyYNplqNYIltbO+EB2j4gG0cb/zAUA7HuqXAsiASCp8UlmZGgim7wae+PzWnC7NaIpXYiCA4BH75f4uFPOmIWcSazR6JqeGawhn42agInFcWldnzyzpNTm4QawS6VENM3fJB0KBCXKKOHTSKNcpihSSWNywmOl9Eguj7dornE6owfaKxw2B+RS8nCfS7QDgcI+ACC6BpgmkSL5fZq63foHPj3jnhwHXydlX/FJPaN9dJ87B3NY/XaPuJ+9L5Yy3qR9cQF2znlcpn+9+jCmsH9T10RdGZGJyMfSmH4FaqTUOKRJYRur+hNHtLVxWrp/E9VUHZLnFX557Q8fByTS0veqsBzfuFrJdPHo+zeWyCEa10gYfcnf3GBiwsqk7CsabEss/auUjGoa1jTBC1OPnA0AWNzUWri+GBoHZK4bteWjAQCroykgm9wu/RxO0guuBwB8eMAcAID92vW96mxIycV6/b8lymnyjEsBAIm0hY+65OfYjFlX6jYmAmp1vHChf/5R+Uw67jT5jPN55FrQnQTau+U6kB/vbuVxERERjWRb/B0Sv/71r7Fp06YtqnvFFVf0u0NEREREREREREREtOPil1qPXFt0Q2LSpElbfDMCAKZOncq4JiIiIiIiIiIiIiIiytuiGxJr1qwpqdG1a9f2qzNERDS8ZTWKIKTZLDNOlCntm6I2Mpq30uqNDEbXiGg7qghLZEUma+cjmnweZ9RP0C/Pc0V/KeTSZIyQ31k3HHAhrTFObknXQHfCGd1UEQJCPrkIjdNYoETK2a67qExqcs6MsRJhFE/JPuO6/P0ub9FfMelOdYGJaqry2Cjz5vQ4ZPuIpENhlcaAuC2gI+NzHE/EHENOollGjdoFG7WvMPvUWCiUT5LSxCm5PECmWx4n2qTUOCCvX8p0oqMQ7ROsldJEQMU2AABWv3YPevGGdd876wKrEDf17s2OqpbGo4zySoc3JgFv5S6y/6zzz79q9fATOcCnL22rS45r9zKpm9Y3QjLbRySUiYIKjtL+hYuipDTuxtKT2vWhlKE6mOguuP3OOlmNUeou+gOqjMYJ6vu1NR4DAIwJy7a7VFnwaRRLRUQqZfQ4u2LSh2jcRka7Y973B4yW1zHokzfWv9aP7n18Pe32RSmX/633OkY1DWspTWnL5PR97qso/Dx7NNbLxJrp+7RCr2vNCRRi3qiXGo1Pau5jnf2WM8Zp5as3AgD2OOJSTCjL9rnduqReP4r+nPUzn5Nxrfn8SOvPu9tViG9qfXNu/w6AiIhoB7LFkU3FKioqcPDBB6Ourg4ul8ux7u67794mHSMiIiIiIiIiIiIiopGj5BsSn/vc53DPPfcgHA6jq6sLdtFfDNi2zRsSRERERERERERERNRv/A6JkctCYWL4Flm6dCkef/xxXH311YjH4wPUrcFTVlaGzs5OlJeXo6ura7C7Q0Q0Iuw641IkNIYjlpGSU9qJRq4vfXm2PLCBREqGmmZSrcuSa4AWcFnIR+EYZp0ps9nCOhP/1tHtjGwK+oCoJvGY1swg1zw38VAuqxCdYqLmujWyKaXXKgt2fv9pXbYsKpE/+1TKxmX+wjDaxEGZfXQlrHwfotr2Jo0AqQ/ITst1+zVdbiS0HybSyOMyxytla1obzqXzEURe50RlaKoVbBsIuORJwmQI5TRjxB3Q5ylYHr/Wl7oBE5mlZcRr56/dJpoqrtdw07/RYWl/U7cbIa3TmpCVdSF5XhGU9rO5QsTJh53yd1G7Vcu5jOk5erspDsQ2SqXwWCktjxbe/PHlX3jzIpkIp7zCe2pSWNb5NLHJbcm2ixv1O/LSMcAbcrbnqwIAHFwvx7LneBdCAWkgmZb2shrZFI1L+fe/zMvv8/gvSLRLXBOvNnVJu4vbbODdm7BFdjmFEU0j1KTDLwUg14So/uB69SIyKSQ/JMs65Gcj/3PatQZY/uD27uqwEZjeAABILJhb0nYVB8l2FRo/F9TopaUvS6zTPkfNxsJmuX7uXyfXoA875VrQptfHKreN1qT+sKc0Sm/JX0o+BiIaGfh7xa1nzuFN1/8EqVRysLuzzfh8fsya8xO+N5APVt1y48aNw4033jgib0YQEREREREREREREdHAKPmGxFNPPYUDDzxwIPpCREREREREREREREQj1BZ9h8TJJ5+cf/zPf/4Tv/71rzF16lQsXLgQ6XTaUfexxx7btj0kIqJhb8WrN2Kvz0iEy7pkyV9fRETDzAN/luiaz585Kx/HZOJtsjln1FI6CwR0ndstdb16mchpCk+2KI3HLHv6IYm9OeUMicbxuC1YPZJIvRrRE/JLuxndT6aoPZPQE/KbfkmZswvxQq8+LsdzwNGzHXU9ffxpj1lUE7Hzx+fXCJCAHte4ypzjuPYNZ5DWCKmOuHSoU+OdfD49b9ry6IAHfk/GsX271k3lNE7JKpyHjNuty6SOOfRkzge/xjrVa0SMiVZKal98HiAkaTH5/vn0GPJJULorvzebf01rNMYpn35UdNk353T6eGkwrrPw32/XF8sbAcoj8tiZ5IVyt+wglrNQodVbtF+2np/Juu8Kf+FFNq/3qDLZvtNM9PaWa+erAbdPK0vu1x6V0uk3npbYll0vuBRpjdYxsWNpPWDzviq2rk2jXEK241xYHu+W5+UyrmnEWvUveV/VH3IZQnrdm1gu/6+e/4xc2+oOaQAAbDL/3XZ5t2sfhxu/XnwTJW7XoRGiselzAADTwnrC928AACx8YS72OEIitsxnzGSN7XtTX6vWaQ2o9ss1pNWq7UfviYioLzZK/J6BIW4kHcvW2qLfCj388MO9lv3oRz/qtcy2bXg8/EUTERERERERERERERE5bdHdA7f+ZRUREREREREREREREVF/lDyd4bzzzsN9992HVCrlWO71enHWWWfh7rvv3madIyKikWPRixJ5gr0vGtyObKGjT5EYmOXNbqx57YZB7g3R8PRhs4Wdap0xSUlNw2jpkpiS2nI7P33ZRN/kNHrIxCcBQLdG+/h6jF5dGoUTS9rwa6KJiQUyZTxlO+p2dANlQd1eYz5MdFBxzJBH/yZnf41qyvSIkMrlCu30ZCKNKkJAuR5GZ1w2NDFHKY0b8riLoqNMRJMtdU0sVMcrcwEAU46ble/X5iKSMtnCcYX9zn6Zfbd0WXBrZFO1SUjS7etD8qArZsPtKhwrAMT0PJnjLt6nebVMv8z5Nm1kc4XzYveYs757uaxojrvyfYxmNcpGjy+aloZGuXIwKUnNaTkZ9T7pYFUwlz9u02cTAWZeN7PrieVyEEGPDbcl+/BoLE5NRCpPPl0+C9IZG16N3jIxZB6N2mmLSntHnTwL5SF5bN5z7d3y3EQ37Wln8f5up8vC5Q+CyLzf56+PyYNplwEANib0hyWrP3Se0Hbu2fCytX9CmV5wPQAgeqTEMyFb+H3H0k69iP13LgBg6pGzHdtaLgutb16/lT0gIiIamo455hgcdthhqK+vh23baGpqwr/+9S8899xz/W6z5C+1vvPOO1FRUdFreVlZGe68885+d4SIiIiIiIiIiIiIyLZH3r/hZOzYsXjrrbfwxBNP4LTTTsMuu+yCXXfdFaeddhqefPJJzJ8/H2PHju1X2yXPkLAsy/HXasb48ePR0dHRr04QEREREREREREREdHgu/nmm9Ha2ooJEyagsbHRsa6+vh5//vOf8bvf/Q6nnXZayW1v8Q2Jt956C7Ztw7ZtPPfcc8hkMvl1brcbkyZNwpNPPllyB4iIaOSLHNiA6Py58sQVGNS+bNbuZ0gxuh4AsHSTRHGsfb2PuKb9G6TM36C3MD4oj7sysl3Hm3MHqqdEw8bbz83DhDMk8qY7IctMrFKFRtjEk4C/ZwyTZm+YSJxUxs5HNZn4n1O0XbfWsTLF0U9SmoieuDNpFJFAIcYnoetMfFJxFFFO2ykLSMvdSY3q0T4E/YW4lYDX2b9EutCOuVS8+vhNjn58VqPhbBvw6fZetyllI3NMR508S89JIbbKxF+Z9k3dl/9Z2M+xp8l2mp6Ur1sRsrGuXTr75jM3AgCO/JyeU41yytmASWk1r1vQp/3zWLrc0ro20hnnOUhlbC0LxxzWjwCfbu/TGKSwnuMx2Wz+uExEljnfE7xZ3aYQFTWqXSpVhp3H5/cC0bg8NtFNJsLLp+d4UrUs6E4WzrvZl4le8ur7y+ux8pFi+fdZxvlHWh43sGqj1K8KO2PCzHsn4LEBi9/PR6LxPzeg+qAGeWKZi0ezlC79YcvpxdMT3q59G25at9G46/2X5HqI/edIOfVCRPSaGzlE4rQWv+QcG9pvMa6JiIhGnqOPPhqHH354r5sRANDY2Ihvf/vbeOWVV/rV9hbfkHj44YcBANOmTcNTTz2FaDSaX5dKpbB69Wo8+CBzUImIiIiIiIiIiIiIhqt4PI7q6urNrq+qqkI8Hu9X21t8Q+Kaa66By+XChx9+iKeeeqrPuyNERERERERERERERFtjOH7vwscZbsfy17/+FXfddRcuv/xyPPPMM+js7AQAlJeXY+bMmfjNb36De++9t19tl/QdErlcDrfccgumTJnSr50REdGOKR/XBAC2Znfs9kUpl/9tu/enmIkz2dAucRobuiUyoblDbrw74qYMk+OSatfnaTS7JeopodEg3uky1T+9QKbxH3D0bHg0guWNp52xLR9r74ulfO/WLd+GaAh59H55vx9w9GwAhSgbE42UzQHhoMb+mIgejckxETlulwVPj5QbE9mTj+jxFCJ+TEyOW0e6Ib+UJpYnZxfinEy8kGnP5SrU7RmFZGKmTD8z2UI7+UgpmGOQMpUBQj70ycQgmbYA4LlH5XyZiCYTM2QkiuKnTFyUiWMyx33wsbPy0Uq5HsdpuF3AqIisrD9J46C0jolM8noKcVqufEyVpdtbKPaXP87DeRdeqn2Wjvn1pIZ0G5cL6I7ntO+27kPby/fTzsdpmb6b4zSRUJZVOJ66CinNa2XOVzoDBEy8lNvZTo+uO445ou/LyohsFEvm8u0HfD021L5PGiN1E8kcXJbsxLwfMvrei8aLYr+W3d+7A7TDMj/iFcEIAKDD/KFhRh8s+ct27xMBeLsQwxSd1iBlKj1InSEiItr+rrjiCng8Htxzzz3weDxIaZarz+dDJpPB7bffjiuvvLJfbZf8pdYLFy7ELrvsgtWrV/drh0RERERERERERERENDSl02l885vfxHe/+11Mnz4d9fXyR5iNjY1YsGABurq6+t12yTckvv/97+O6667DD3/4QyxYsADd3d2O9VvTGSIiIiIiIiIiIiIiGnxdXV148cUXt2mbJd+QePLJJwEAjz76KOyi8CvLsmDbNjyekpskIqIdycJbpNzjrEHrQu3BDQCA5jfmYlSF5H6k0hLLkdL8lebkKADoHddUzBOW0s6g2iufiWM0AiXok+evatWx1Tb+8YBEscz8vMSjVEYk7iPolz6YKJMl64GgtvdBu3yutu71VWlo0R2lHSzREPHWc/Mczz/3Jfk5CAcsJDWGyAwjTXySiQVy+4Bszhm6auqYGB+gEMVTHIXkbE9KO4dCDpMyETtmeJvJStwSACRMhJG7d91YUh5HAmZfGk+k0T1ed2FXJ+sxP6bXguIooZ5JICa2yByT6cPyVg92rpCOmTglc1w+PW6/p7Ds2UdkXyd9UfZtYoy6E8C/npB1x2l0nYmfMvFMHlchpigUkIU5fR0s7Zitz88+/9J87JR53UxslQk6slGI48pHY3nM+dK6LhfSad2HZfqa69WeeTuYWCfTd3NObBRev7i+v8z13tZXxLzvMlkb3SnZWZ1G67VH5WDCetweN9DaKctGVclOUpoRZo7v/j/Pwxlflmiy1i5pp1NTd8zxbYy5Cp9/WX3z2CavSvOdfJW6PAMk2+TxiodAI1PQJe+VRn07wK25Yea1p8GXiUnJ+EwiItrBVFdXY99998U777yDtrY21NTU4Gtf+xr8fj8eeOABLFmypF/tlnz34KijjurXjoiIiIiIiIiIiIiIPgm/1HpwHXTQQXj66adRXl6O9vZ2zJw5Ew888AAymQwsy8JVV12FGTNm4O233y657ZJvSLz88ssl74SIiIiIiIiIiIiIiIa+a6+9Fg888AAuv/xyfP3rX8fDDz+MJ598EhdffDEA4A9/+AN++MMf4gtf+ELJbVvoNWH9k1VUVOBrX/sapkyZAtu2sXjxYtxxxx3o7OwsuQNDTVlZGTo7O1FeXs7vwyAi2g6qD2oAALR2dwCL79wu+/z8mRJP8vB9N/Veud9s5/N35vWus+fZUppYhUV3YK/PyHaVQflYLdNVJlbk6YduwvFfkP0++XfZ74mny/OqMokEae6Q2I5lG11YHZdsEjvTI8clpxkj2TiQ03VL/7qZIyUauszPg88DJPWtnNbIn9pyjQPSn5+g34JLM2/iSfk5MfFApo5tAzl9YmJ8ekYtmcgf2y7EAZmfURP9ZOq4XRJrBBQGyyZ2x8QNuazCMhORZNaZCCELhX2ZZf/8m1wDTGxVIlU4DhPVVIg/cvahqcPKnydzvQlp0o+JqspkC9ub4wtrpFRQI5geuGceTtBrUMgvy3wan9Sl8XGJFFBVZmnbUppzm85Iw4V+W0XH7lxn+uCygKz2K5218/so7oNfI6UAwNIwJBOxZF6jZNrOH585t+a5q+hcm2gtc07N8RmF194uxEyZ86/7CgVkeSrT+79MZUE5YHO+Wjvt/PtndYvGAWq/qgKy/VvNANLyf6aJlZUAgPpIVo9B9tWdlnJpew7I6P9HUvr/LEY3jVz7ys8jUi1SLvnL4PWFiIj6jb9X3HrmHM697idIpZKfvMEw4fP50fDtnwyb90ZLSwsOP/xwLFmyBB6PB4lEAoceeijefPNNAMC0adPw2GOPYcKECSW37Sp1g+nTp2PlypWYM2cOqqurUVtbi8svvxwrV67E/vvvX3IHiIiIiIiIiIiIiIhoaPD5fIjH5QvRMpkMYrEYmpub8+tbWlpQU1PTr7ZLjmy6/vrr8eijj+J//ud/kNU/cXK73bjtttswd+5cHHnkkf3qCBERERERERERERGRjX7E+gxhw+1YPvroI+yyyy748MMPAQBnnXUWNmzYkF8/ZswYxw2KUpR8Q+LAAw903IwAgGw2i1/96leYP39+vzpBREQ7rtY35wIArAPmfPIH9NQLNx/rNPVCKT8m9mnXGZcCAB6+78bN7yPZKqWvotCvt6531vFVSfnuzQCATx03C36v9D6u8SNNHRK5UR4sHNWSRsnymHGixDLEdPZpIi1xH1GNh1nV7SrEMWVjUi66o3dfTXQU0TBkosuOPmUW2rrl58Xlkp8XE/nj0bm88RYblWF5XFMuC3P5rCboc8AknJkYHxNllO0R4RT0FZaZZoqjmsxyE/Vj6phIIhP843YBHrfl6I9p10QbWUUBqWbdcafNcrTr9RTqm/1bznShfN26chupTOE4ivtuNrGL9mWOwav9LG63Miw782ocU0LjsEwUUcBr59tMpmzHTnpGXuVsG8jJwmyPOK18NFKu91XexCqZ9lLp4vMtD1w9zkVZ0JU/3yl9TaMaAWWONxkHKsOyYUfMRHlJGdHjK349/RplZc5/ymXal7IzZmNUpazsiMp58rjM+1S2DQdsbGiT7f1uWefOx3zpQb1zE2oPbpDj8MmJWt/ldhxna8rkUHUBtnmj5kAjnb7GmcQnV93jLCkZ2QhMOQ8AUF9eDQBo/M8Ng9mbHdeU84D37x7sXhAR0Tb017/+FXV1dfnnjz/+uGP9KaecgjfeeKNfbZd8Q6KzsxMTJ07E0qVLHcsnTJgwLPKviIiIiIiIiIiIiIiob9dcc83Hrr/22msdExZKUfJ3SNx33324/fbbccYZZ2D8+PEYN24czjzzTNx22234y1/4xVtERERERERERERERCNVPB5HKpXKP+/o6MCkSZO2aNuSZ0h8+9vfhm3b+NOf/gSPRzZPp9P4/e9/j6uuuqrU5oiIiACgdywSgKlHzgYARNNy/3zNax8zDf9jopqwn7QT9PaIC9l3FpDpBgDsVRcBACxap5mIuZT26+aiDmkslFtyUvY5StrtSgLd+jkc8Mg+2uLS5w87JXrj4GNn4Y318oVQq2MhqZyVWIaKQAAAENaID/x37iceC5LNQFZ3uvsZ2i/Np+GUeRpGWrutfKRPh/7cbNQIJ6/G3KyLuzCmS+JMdtUsouoyjQfSlJOuuO2IUiqW0TomEieVKUT9NEdlYV25Rv64C9uZ+o9rvFRPx502Kx/Fk9E/DspHGBVHNql0xrnM9DObK9Q3x9MzQsoE9rgsoCzo3IerR3xSRcgqio6yHe0ZXzxndj4ay9ZYItMvs9wqiqTK9yMfcWXpMRW2TWWcsU4mGslsE/BZ+e26uuWEJdMmTknq2FoPADLZHuvyKV02XNpZj9sZ62SiqUZVFo41oZfKZx6W1/Hcr1zqOM7iTwZL2zXtZXVtXaULy9dLR7qSGtHkk+d1kvCHZBoo19dmk04cX/zSPBSbfsxsLG2Xx4taTTaV2bnJCyuKZ8rEtY7+t23yqc6T4fYVIv5MnZy+0VY+AhpG3r35k+sY/lopp10m5X934JgiHfMED5efa0y9AFh81yB2aMfinT4HAJCOtw5yT4hoJLLtwpBnJBhJx9IXq2fm7Mco+YZEOp1GQ0MDvve972Hy5MmwLAsrVqzIf+s2ERERERERERERERFRTyXfkDDi8Tjee++9bdkXIiIiIiIiIiIiIiIaoUq+IREKhXDVVVfh6KOPRl1dHVwu55z4yZMnb7POERHRjq1n1MUWmXKelNkksOx+eZyUaeQLX7gHAFB3SAMAYGM8A3g1qunFec7tc5q/MvUCmDyN2kiFY1fJjExJXNaeykdt7FMjuSgTq2T79pjU2dTtQiQgUU3R+XMd7XT0KAGg4iDpY8ebzroTw7Kfj9z1sBM9psebmI49z5ZyCb/biYa+t5+bhwNnzgIAjI7IPOZ3m80QVX5+/K5ChM66NnnwQbOU9WUSbxP0FWKTgppe1mXSbvJxPlImM4UYIK9G/kQlQQ2RQGEbE3t0wunSvycedEY3pbOAS3/sorqvfDyRV8pUpndckskIyhRFEaW172af2o38c9P3nF04znxzzqQk5GzAp/vP5Swtndt4PIDPK9eTjEYtud3muApRSabvfp/U3dxMbMsqRCyZOCUT5+T3ynOfx4V4UjpSEZHXuDMmB5NOm/gkO79dtkfslelfLif1AMCnbddWODuWStv56KdXHnd+luTysVhWoQ3bHLOd3754n+tacnivRfocTcmLXu2X5153Ro9PIsgAoDPp/D/SxMMkWieWtmGSrSaXm0grc97kXKxs1bynVDvgq5TH+jlmPrPyIV6WB7DC8tilL3qyTXeg8U6MbhpxAl557yW6N8mCvb4q5aI7BqlHg2/Vv26UB2YcRwMqH9WUTsoCl38Qe0NERMNNyTckbrvtNhx55JG4++67sWHDBtgjPQCLiIiIiIiIiIiIiLYb27Zg21v+vQRD3Ug6lr6Uco+g5BsSJ5xwAk466SS89tprpW5KREREREREREREREQjyIB+qXVbWxtaW1s/uSIREdFgeP9uKfc4q7BsyT2OKhuTJi+lCyaOKTC9AQCQSEZ1ncl68aE6LFFNlT6JyFgZkwyPtK2RHHYGEb/EaCxsScmyZpPFUpST8t6tAIBJh18KAFib0Hbi7fl2AABuPzqzfX+Yr9EIKFh2IaLJpR/nnrCznb2+ukPHN9DwMf8ZiUIyPxsB/dGKajRRd87CrgH5uW3qlpVhrzzvSsjPRHscCPtkmaaZ4NXHnRFLMz8v0Us+j0QpAYBHLwcm1imm6ROWBWgiD9Ja96iTZfsXHpN2owng+Ufl8a4zpO+1YfmZj+ulIJ62kNLjCPQYecfTUkb8dj7iyfTDjOdNP326bS4HJHW7sqBu43LWRdpGd8LZXmVEKrm1bnfCRkYzoyZPkDi5rm7ptIlVyuYAj9YPB+V65dPsqIzmKUW0D9mcDb9eI5OpnO5LI7c0OimTtfPxRCZfyvQnnjOxRUXRURnzekrloK9wckzMlIlfyur2Zp9ej4WU1jn7fHlt/vIniXSJxmWjqnLZkddt5fdl/q4rHJSOJfRYxtW4MLpVj8uSF6NNr9OJtKX7tvMRYKtfuwHFTIBTKgvsEtFIP411Smg7rXH9/Mnpm8ftB3L6QpZP0nVZPT7pQzrZDcQatb6+ibL6BvngUdDIlIhrLJfLJ6U7sPnKOxozDqQBVeOR62FjRi/Y7908iL0hIqKh4IQTTsC6deu2qG7JNyR++MMf4pprrsEFF1yAeDxecueIiIiIiIiIiIiIiGjo+c1vfrPFda+44goAwL/+9a8t3qbkGxJXXHEFJk+ejKamJqxevRrpdNqxfvr06aU2SUREREREREREREQEALBt+TdSDKdj2X///R3Pp0+fDrfbjaVLlwIAdt99d2SzWSxYsKBf7Zd8Q+Lhhx/u146IiIi2q6V/BaZeKI8X3ynl3hdLme4q1PNJHFMirREZLo09MDkl792KfFDhQQ0AAFujQTpSJt6pOx8BgkwMWslZLv8bMPUCAMCq5o2yzO2X0kQvZZP50s4HfPSQ2FR4bGsOjMtkpujMRY0TyT8nGiZW/etGx/OdD7sMAOBz5/Bhp8RCmOg0v0bjdGtcjscFvPH0PADAESfNcpQJ/fsZE6OUy0mUEgDEtDTtGSGf3SvyqadE2sJen5kNAFj0ovTdfYTEA8Uz0u6aHtE9QCHeKZWTOqmsjZDXuX8TZVSmUVX5CCZX4T8zmpqUj5kK+grba7ISRlfL9aArJtcLn1caHlXlRmunXHuWru4GAKT1klJbIRv7vRYCfo160g6ZqCaTbWQimNxuKx+t5NXMJbPO5Ml6PIBfs6c8eo1NpaU9j0YtBf0WPNqOX8+JiZAyEUxedyHSKpPVqCXtj6ljoRBlZeKhjMcekNf13K/I65DLFc69S/thloU1P2xTexZ1ksyHnaq1z3qOo3qpdbsK8WN5U84DAKyO6pvQcmNqpTw07zlTtnbrC5DWzxbLBVi6k6y+eVMdUsWu0h3kCieDUU07HhPRmOHnPW1fjf/p/dlGREQjx2c/+9n84zlz5qCrqwsXXHAB2tvbAQCVlZW488478corr/Sr/ZJvSFxzzTVbVO+ss87Co48+ilgsVnKniIiIiIiIiIiIiIho8FxxxRU49thj8zcjAKC9vR0/+MEP8PTTT+O3v/1tyW1u5s8vt97/+3//D6NHjx6o5omIiIiIiIiIiIiIaICUl5f3+Tv+uro6lJWV9avNkmdIbCkzNZuIiGjIMNEGXv3QzGVhaTyHnZLIErhMjJJmoEy9EPVl5QCAxoTGaZiopJyJ4Cj6ODUxTEa6u/DY5dXtNHqjZ8SCW9dnU0C6Ux7vebbuUyNFXLqvXKaoPe2PpX9nYD6DQ/WFtjU2BO/fDaLhYrXGHU3U6CYAWNEpcTm1AflZ6MjK+z294HocfKxENMX0RyyrkUhJ/dG3k/LcZdn5qCYjo3U7UvJzNM7K5tdNOlyifXpGSiWzFpa+7FzW83lfVrwqdfY9SuKeEhkL2XwEkh6PJiNBo5rcLjt/TAmNg2rWy0t1SCrXV0nfayo86OyWgzaXg/vuljirr39zjrSTteH3amRUWtoO+PT86KUk4HfB0ryjRFLOh8dtaX/02qn9tu3Cvtxax9JrkqkLALFERo9DNsxoxFJZuFA34JeYIp8n5+yPTx4EA27E9XrcEc062oOet2yukJhn1p1zgbyO994l5789KhVCASsfGWWimkz8lInjC/gsVIQ0rk8ngJtkv+6U831WbI9REq1kIrk8rsJ7z8R6GWPL5bNmfXO7LDDXeACIa9Sfuc6n2vR408DKR3rvmEa2xXcNdg+GBxPdacZ/I3UMtNdXpTTjU74/iIhoG3rooYdw55134oorrsC///1vAMCnPvUp/PrXv8bf//73frU5YDckiIiIiIiIiIiIiIhKZSP/tWUjwnA9lksuuQTXXXcd/vznP8PrlT+YyWQyuP3223HllVf2q03ekCAiIiIiIiIiIiIiIod4PI5vfetbuPLKKzF58mRYloUVK1Zs1fdG84YEERGNXHaP/AyTLZLSOCS3H3ZKs108GuOUbJZy6V8BSFSMT6NS0BWVMtsjaslb7oxSAgqRT8URTlldZr7CyReW0kQ3man27kDhcVZjofyVzjZcvt7HZ/YNLWONhbgCk2Oy90VSvncbiIaLNa/dgOqDGuSJRpu16Nu8yi0/n5HDLsNa/dHO2M4onIDWSeVTmCyU+2RZVONzTPyOqbsp5spHNWV7tGdsSTzTx3n3hXn5x2M/JbFUnRrjMzYoP7MmBiiWlhijHACTTpTQuKoxFVL3L3+S/pxyxizE9dJWFpTKM06UOKvla+WaMqa68FVykaA8riqT61hnTE5UV3cWQb+sy6fG6WZZjXlyadSRiVACAMtrop+kjumvZVmIJaSvGc2o6o5L2RaVcmyNK78uoPuuiHgcffC4XfBonFN52O3oV1ojoLpiWfi8sjCelLommupLX57teN7ZbSOe0uPRl9r8BVtaz//qdnd+nXmPhPU9lNHL6zvPF17Pz3xOzne37tvEWSXSVj4ezLTn1/a6M9LfiXUTAQBrWpuBTI//6JmoQFMCwORT4ThBZmeMciISZpy157lSLrln8PoyEPJjQ/56h4iIBs6YMWMwZswYvPzyy0gkElvV1oB9qTUREREREREREREREQ1P1dXVePbZZ7Fs2TI8/vjjGDNmDADgtttuw3XXXdevNgfshsSHH36IdDr9yRWJiIiIiIiIiIiIiJRtj7x/w9H111+PdDqNiRMnOmKa7rvvPhx//PH9arPkOX3jx4+HbdtYt24dAOCggw7COeecg8WLF+MPf/hDvt4+++zTrw4RERFtM1aPj7nFd0pppuy7/UCmW1d2SeGNSDlN4lNqgjm8vUlHDiYiyeV1tp/pRj4SydzrN5FLGv2EPc8timxSCf0w9wR0m1yhfTPt3nLrPjRuoHg6vtm/iZDyhHS5q9CvXMq5ndnGRDe5fIX9Wj3+TsFEQFkuWN6gdPGt60E0GFrfnAsAmDzjUsfypoS8b2MZCy0ad+TRxJr0gs2/Xxs3s3z6MRLns+DZeZupMTBSOWcs1LIuOa46TX2rDcg1pTXhykf9mHJtm9Q97Szpe3u3nY9J2tghD/67UX72kxo/dVAqjXE18rgsJNtndSMT0xRPZPMRSD0jmzxueRCNZXS5Bb9PluVyJgpJ+jyxXq4fXbEM2rtk2dJGqRvR2KPyoLbrseBxW459ZrQPXo1giiUy+X2Yum4tyzXeqb62cD7bu+Q62NohfTVRTUYkaCGl+1jXLvtYE5MyEe+QSrkU8td5bwUAoDYo124T61d7cAM8ljxu6Za62mV0JKU/a+JujPPLOhMTtjou13k7q9fceJOUbn/hurz8QUefsdsXC4+tfI6WlMP1f7tE25pdGMcAKIyFpl4g5eK7tn+ftiUznjXjSxPlNlKOj4iIhoRjjz0Wxx13XP5egLF8+XLstNNO/Wqz5BkS9957L4466igAwOjRo/HMM8/g4IMPxs9//nP88Ic/7FcniIiIiIiIiIiIiIho6AiHw31+gXVtbS2SyWQfW3yykm9I7L333njjjTcAAGeccQbee+89HH744TjnnHPwla98pV+dICIiIiIiIiIiIiKioePll1/G+eefn39u2zYsy8KVV16JF154oV9tlhzZ5PV683c/jjnmGDz66KMAgCVLluS/1IKIiGhIMBFNPS25R8pplwELb5HHU84DAFi+MgDyIQsAb69vL0Q0mdLdI2LJGwHSUXmcSzjXmWnzQFGsRtLZnonZ6BmrBAAezTFx+bR9jWDKdAO5rHNfJrqpeHsTHQWfs64pix+b7d69CQ57Xww7rW3vP0f3r8/N+SPaTla+eqPj+fhDJV5t7es35JdtzbeYbe+oJqP5jbl9Lt/YowSAioMaHHVWxSTyJ9Ak8SSWZeUjm5p0XcQtCzKaYJLMWIhoVFNrp1wnvB65FphYpnjShs+jkUphjTBKmjggqZtIyfN0NgdLI5pyekkJBSSm6KOmuLaXg2XJsrEVRdcgAD69HKbTNv67Tl5BTYVCfaWl/ZMy6LfyEU2mrz0T52KJLNyaaeX3unV76Z+JbPJ7C7FOlWGN+3JLv5Y1t2nDJpovBvgq9cRIpFLzwofkuYlN8VXlr+ONKdnnWL/sK+KVssaTg6WxTpms7DOskU/ReLu0k+v9DrYOkGuv+WxCdK2usQF/lTxMap/NZ8ruZ2iVHLD8b73aJBrq8u97Exe511eBRXdseQPv3y2ljvGQ1phOt38b9XAQTb0QSJu40TJd2CM+lIhomBvO37vQl+F6LFdeeSVefPFFHHjggfD5fPjVr36FvfbaC9XV1Tj88MP71WbJn1SLFi3CJZdcghkzZmDmzJl48sknAQBjx45FS0tLvzpBRERERERERERERERDx/vvv499990Xb7zxBp555hmEw2H8/e9/x/77748PPvigX22WPEPiu9/9Lh566CFceeWVuOuuu/Duu+8CAE455ZR8lBMREREREREREREREQ1fn/3sZ/H888/jJz/5Sa913/rWt/C73/2u5DYtACVPGHG5XCgvL0d7e3t+2U477YRYLIZNmzaV3ImhpKysDJ2dnSgvL0dXV9dgd4eIiLYlE18RqJOyOJpo6oUAgH1HRwAACzvknn3YZaM7p1Eemu6RNpknJiKpr/iknnEAxREcJkbJRDYVRz+Zuj3bsZ0xKcgmAU/I2Z6JE8l0F+oYm4uLyk/zL+5rxrkvy1MUAyXLqv0SAdWa0IgqRjcRDZrA9AYAgF9/zEf5cyjTqKC2uCx0ayyQiXIaFc7lLys1ehmojMhF7sONsqI15kKZX37mdxkt62Ia2bS8SdoNaRTRqHIbIU2GS+klJK4Jc+0x2Tbks6GJTeiIy4OFbRJtZFZMCmWR1mtuWNueVCt9qAibCCYLfp/svysm1z9zLLWVcm3zeix0x2VdWViuX81t0iETM2X6Egm60dQmne7U7+v7oFX6tbZLr6exjcAHElXbyy6nSBmqAzxh5zrdSYVeQv0uwKevRXta1kUTGvlnov+W/lXK3b5YFNtnrtnl2rAecKqzsC9z7c9H8mmd5Q/23W+i4WLvi6XMJZEPedhcLGef218kpYmbNOMbTxnw3q3boocDx8RNGcXjMXM85vpgIkmJaFDx94pbz5zD//vFT5FK9e9Lk4cin8+P737vx8PuvdHW1oaZM2di/vz5juWXXXYZrrnmGlRUVJTcZr/CBS3LwvTp03HxxRcjEpFfnqRSqT6/cZuIiIiIiIiIiIiIaEvZsGHbI+hf6XMChoQ5c+bg8ccfx5QpU/LLrrjiCvz0pz/FSSed1K82S45smjhxIp588klMnDgRfr8fzzzzDKLRKL7zne8gEAjgG9/4Rr86QkREREREREREREREQ8Mf//hH1NTU4Omnn8aMGTNw5pln4uqrr8YJJ5yA119/vV9tlnxD4oYbbsD8+fOx3377Ob7E+qGHHsJtt93Wr04QERFtF8vul3KfS3qtqi+TGIxkVv5qwcQzRRPRfPxFPnTJxGoUc5nYEY1YMhFJuVThuckHyeac2+br6h4sD4CMc1+m/VxR3JPJKDERS/EmKYvjnszj4sio/D4AmSyZc25n+mMVDxOcdVrTum93QEpzThndRLTd7RSWn8tGjWfalHRhpcYklbvlZ7VDLwETNent7RYvxgfkepLISJ11bbIulZV2sjmgJSaPN34g7bWmNGYoLdtW+/TahCxCPmnHXJoyetn4b1vhWjJKY5hMbJHlkvbslExbX9WeA3xyPa7OyDp3i9T1d0gbE2pySGnjfpNk5Ja6bZ1yPbQswKPLVq+Xqf45zaty6/IH750HAPjSubPzl+WQXsJrgrIglZPZ4BsThf/39FIc5bTHWQCAQKQeAFCv0VmxrJU/J516XAm9nOev6+YzQtuA5Qb81fpYXoeIvp4ZW9vwRoo+CzRCz9ZruIl+IhruTKzStAYgoWMdE8P03hb8DsLU2eurUpqoy55jo6GoZx+9epHKoRDrORyOg4iIhrXf/OY3qKmpwfz58+F2u3Hsscdu1XdJl3xDYsaMGTj88MORTjs/9D788EOMGzeu3x0hIiIiIiIiIiIiIqLBM3v27F7LNmzYgFgshpdffhmHHHIIDjnkEADAvHnzSm6/5BsSLpcLbre71/Lx48cPqy/kICIiIiIiIiIiIiKigjlz5vS5PJvN4vDDD8fhhx8OALBte/vckHjmmWfQ0NCAr3/96/kdh8Nh/PSnP8Xjjz9ecgeIiIi2OxNJVKRCYzVSOou/TONEWj0RILFJFmaTWlvjMSy9Qe9yFyIz0DOOST9q3d6ihS5n3Xxch4luShS2c+l2Jl6gOILJRHnE1pudSeEt690XT7jHPlKF0rW54UBRP00sVH77HhEj2fhm2iCigdaWlJ/LKo1DaktbGOOTn39NKUJtxHbUTeeAuEYHeXtcEhMaL+S2bKRz8liTlfKRQW69/pn4tli7G+V6KSnzyr51E9gZnVnt9mJjXK8l5vqUv476dHEGyGa0bYkgak0GTEMAgO6UD+0p6XRSm5laI+tsvRYHvIU4J3OZ8uquPFp+6dzZug1QGZb2EinZvjos5Wrz91aBGmwRvUYnoo0AgA/tMQCQfz02plEUvacnzF+h20pUFZKturwGAe1rnd/52bIxqQeV7gS8up1Hr/0m3oZopPnv3ELskhmTTTlPyvfv/uTtTbSRKV3ezdcdbHtfLGVGL0LmGpkx460c8uM0d3B79oyIaLuxgWH6NdB9G07Hsssuuwxo+yXfkJgzZw5eeOEFLFq0CIFAAPfeey922203NDc34+yzzx6IPhIRERERERERERER0SByuVzYZ5998OGHH6K9vb1fbZR8Q2LDhg2YNm0azj77bBxwwAFwuVy4/fbbcc899yCRSPSrE0RERERERERERERENHRcf/31WLhwIe644w64XC68/PLLOPTQQxGLxfC5z30OL730UsltlnxDAgASiQTuvPNO3Hnnnf3ZnIiIaHC9e7OUe54NM9196cYWWaYRGt6gxiEhV4hLMpMszRT/fIyRH72imky0konksIo+cr0mmkRjk6DT79NRKf1V+X4VopB6tAdIVAcAuDXOJFinzW0s1Okjnkr6p8diJ3vX7blNLlPYf/6Y9bnbr6XGBez1VWDRHX3vk4gGxKa0xPd4NIIpYwN+k66mP+o+jVoq11in1u4ONGpEUConlWsDGjeUNWFLFjyW1PeYRcrEQyU10ilpWwi5ZfvmpPMaUheU520ZIK3//QholUS8TTtYKaVddC011xUTr6KRTcs6PADkcUCvp8tbpd2QR48vZWGniFy7x1XJsqw23RqV5xUh6XsoYOUviZmsnqeQPK8PykYd3WlskWX3S7mnzBwfrfFV67v1WusOSMwfUMi00gfV+tHSatXKUgv5878mbj4TnOcCnrLCZxSjmmhHYMYYUy+QcvFdW76tiXXSn0/H2Gwo2PviQkRTql3KXmPOomuBx+fcvj/nhIiI6BN88YtfxJ///GcAwMknn4ydd94Ze+65J84//3xce+21mDFjRsltbua3FB/vy1/+Ml555RWsW7cOEydOBAA0NDTglFNO6U9zRERERERERERERETClr+jGyn/htWXSBSpra1FY6N8P9qJJ56IBx54AMuXL8ftt9+OffbZp19tlnxD4pJLLsFvf/tbPPHEE6iqqoLbLX/h09bWhoaGhn51goiIiIiIiIiIiIiIho6mpiZMnToVLpcLxx9/PJ599lkAQCgUQjab/YSt+1byHMXZs2fjf/7nf/DII4/gqquuyi+fP38+rrvuun51goiIaEBMOU9KM0W/p2A9EP1IHvs1okmnyKczOjU+3tR7u55xTEBhCr2J0eh1zz9XFEWymY9fS2M80tHCFH3TnskTMVP23f7e0/fj8lcL8FXpsbQVIk969t1ELdmZQiyUWecJ677Shbom1sDUyT/POp/3a+4lEW0NEwuUsSX6J5EDNsb0u908cg3wuSwtdSOXFyYqyOfSSCNzmTExTy4buhkS+qPu08tUm8ZEleuPfjJnI6PbeXWb5jfmbrbP+W+e23eWlMVRTSYizu5xQfFGAACWZcHWa2Ii3iGlXrciPulQxgaWdcnjppjUHRuWg3j3hXkAgC+cPVv2lpN4JABI6mXVHHd9uUY2JSvROO0yWfjfGzZ7XNjnEik9EqXX2KlxgPmYlSTgr9Djs3WV7CzWI/nPb9lwm374ZGU8J8fUkdHPiLev33xfiEayzcUS7XkusOSej992yV8Kj6deqO0NQhz1fnINyl8fkq2FWDa3t0dlvUBki8Zm+TgnvUC7/APWVSIi2nHdeeeduP/++7FhwwbYto1nnnkGAHDIIYdgyZIl/Wqz5BsSkyZNwttvv91reTKZRDgc7lcniIiIiIiIiIiIiIho6PjpT3+K9957DxMmTMADDzyAVEq+CzObzeKXv/xlv9os+YbEqlWrMG3aNKxZs8ax/IQTTsDixYv71QkiIiIiIiIiIiIiIqDouxdGiOF8LA8++GCvZX/605/63V7JNyR+/etf43e/+x0CgQAsy8LBBx+Ms88+G9/73vdw0UUX9bsjRERE29S0ywqxGj2n45sp8nYOCI2Rx+lO5/axDUVPzMjB6ntflqt3lFGeiXIqyuLIJXWf3VrFxB2Z6fk5ifUAiiKR3M6+2NlCHFPPyKX4Rim9ZYX+mDiAfMxT0XKd6h8ISYxIIt6m/fEX1c0520GPbJFe64loe4nn5NpU5dUYo5SVj2UzUUQe/dHs1KilSCCEbt3Oo5FNXWmpFHDLc6/LRndGliX1Rzzoyelz2dZcmTrenAv3QQ0AgNY35wIAKvS5EctZcOs1LLFA6uDdm6Q0cUieQCF+xFyXzfUvK9ctG7nC9dJXrq1Lf6K6acCFfISUWWaimoyObqnw3KPO5X054OjZcOn1bf3eF8vC926Vcs+ztS9VQKJZ+6rX52SHsyGXu9B3T0iOJyfnNKEvllX0UVPhLbwWALBLRA7mtSdv+sQ+E+1Q9tbfReTShcdmDGZ+VvsyGFFNhkuvbSm91rmDhbhMwzzX+D14TKRnDoWcTDNW5BiMiIgGRigUwpFHHomJEyfC5/M51s2b98lj6Z5KviHxxz/+ER6PB7/61a8QCoVw7733Yt26dbjssstw3333ldwBIiIiIiIiIiIiIiIaWqZNm4bHH38coVAI4XAYra2tqK2tRSwWw8aNG/t1Q6KkW+hutxvnn38+HnvsMey8886oq6tDfX09Jk6ciDvuuKPknRMRERERERERERER0dBz/fXX47HHHkN1dTXi8Tg+9alPYaeddsKCBQvw7W9/u19tljRDIpvN4ve//z2mTJkCAGhpaenXTomIiAZc8ZR3nY5fe3ADACCh0SPR7pZCdFFGY4/ysUkqmyyKS+rB5GrkUr3XmTglw7YL9cyUen+1rssU9gUA2eLp+pZzG9M/O1toz0Q1aURLvh3kCm1bPmedfL8Kx5GPajLt5fuVAVzOaZn5fXgjheMDgEw3iGj78uvloTGpP8tZuxB75JKVGf2xduklJZoGYMnP7Vq9/HndsjKdlp/9iRE3Nuplpk4vAVlb95GR9hPv6F9ETWtAq166AtMbAACdWWfMnZ2zkTbXzWlSB/+dq6VG7O07q/e1zVfpPOBc0TpzbTTxdnr9TNgZwCPXp4TZhzpo5iw5Tt3ksONnbTYCaeynJEqqO22jKiD7XJ/Q6/tup0vpKZPS5QU8YWcDnoD2S6+ZnlAhpi8T0+Mx11OJnwp75TNndCAHfUmw7JUbAQAr++wlEeXHfT2vF8VMZOc7pf8lZ39ZB8wBINc/ZBOycOEtUpqxUz5WM5mPcsszeXvmb0nz40FX0ZhLllUE5HrTIyiOiGj4slFITx4JhumxTJs2DV//+teRy+WQzWbh9/uxatUqfOc738Fdd92Fhx56qOQ2Sw4Z/M9//oP999+/5B0REREREREREREREdHwkE6nYetN9KamJkycOBEA0NHRkX9cqpK/Q+Lmm2/Gb37zG4wfPx4LFixAd7fzLyEXLlzYr44QEREREREREREREdHQ8Pbbb+PAAw/E8uXL8cILL+Caa65BbW0tzjvvvH7fByj5hoT54uobb7wxv8y2bViWBdu24fGU3CQREVHp9r5Iyvdu63v9uzcXHk+9AADQ3L7eWcfOFaIzesZ+mJgmT7AQ59Qz7ggm2sguWmem1Gu7JvbIzhTq5+Oc9LmJ7TBxTN5wYf/p6Gb2XfR5a/qcX6Xt5zKFdkxMgNXjeIv1ikAxc0pzhXWGy7QbNwuk8JX3bpeIBtRGTfwJmHQ5y4WAV6OV9Ee3NS3PQ/nUDyv/l05jNVVovUl705/vNXFXPmpoY8LtWGciT0w8UxYW/BoBldRYJzujDZrrV67oOmiY6KZ8fFGiEBGXMzEmGsWSj47LSZQckL/eBTxuPV7tX7INyEQdfaz361926d9TVWiOVTYH7HyYRDOV+2WZibjyunNa2ijXS2ssLe2s+u+DssB8Htm5wrGaa226U9cVzdHveT02189UOwAgFKgBANSEcnjj6b6jpIioh8V3Sbn3xYVlrh6/m+hr7DNQ9rkEAPLXWdjZwjhv/wZdpuvMWHbPc4syLHqMS83yfKxm0UJ/JQCgPih1S45smibXPxOdFzlQ+hedP7fUloiIaAS6+uqrUVYmEaU//OEPcdddd+H3v/89VqxYgQsvvLBfbZZ892DSpEn92hERERERERERERER0SfhV0gMDQsWLMg/bm5uxkknnbTVbZZ8Q2LNmjVbvdOB9o1vfANXXnklxowZg0WLFqGhoQGvvvrqYHeLiIiIiIiIiIiIiGiHVfINiZNPPrnP5bZtI5FIYMWKFVi9evXW9qvfzjjjDMydOxff/OY38a9//Qtf//rX8cQTT2Dq1Kn46KOPBq1fRES0jfWMatrtdCmXP1hYNuU8Zx1PWMriGCUzXd6ynHWtouil/JT/XGEZAOSKopJyKef2Zh/5+KNcob6JHzHxAlP7mOZopugvu995LO/fLeWe5xbiS0wEQL7PGlniNvktxYqn+uvz/DkweQB9RBqYaKZe+zLnQo9fp/sT0fZTpylBtQG5bqzpdiOgP6JJ/fGu9MiDxpSsiLhtZHTd+m6NVvJodpP+fFsWYJvribkm9UhcSmQKMXdpvY4GXNKw3yfXqKjJP7IsIJdz7KtaLyGtCGn7mULj5pqdj8LT67TbD2Q0d8mWg09ktU66K98f8zmhAUlYvf8c3af0b81r8/BJDj52FgDgg3YPJug1PKuRVHWHNAAANnZr3JRtI+ALOLZPZDTGzjLfu1d0zfVqBlRKPhPGVlQDAEaFZD+MayLqh/duBfb9pjwuju8ECmOUfWfp+gH8GVt4i5Qa3QSXt/Cznx+DWc7+uDyFa60Zd5mIJjPmM7Fw8Y3whusAABVuaTDb4/q8xXqM3RjVRERExaqrq3HNNdfgqKOOQl1dHVwu5+8LampqSm6z5BsSDz/8cP47I4oVf4/Eq6++is9//vNob28vuUNb6/LLL8ftt9+O22+/HQAwZ84cHHfccfjGN76Bq6++erv3h4iIiIiIiIiIiIhouPnzn/+MyZMn4/bbb0dTU1Ph+5G2Qsk3JGbOnIlrr70W3//+9/HGG28AAA4++GD87//+L372s5+ho6MD/+///T9cd911uOiii7a6g6Xwer2YPn06fvnLXzqWP/300zjssMP63Mbn88HvL3xRqPmSDiIiIiIiIiIiIiKiHdWMGTMwY8YMvPvuu9uszZJvSNxwww24+OKL8frrr+eXPf/88/j2t7+NW2+9FXvvvTcaGhpwxx13bLNObqna2lp4PB40NTU5ljc1NaG+vr7Pbb73ve/hJz/5yXboHRERDajiqCbDxBsNdYvv/OQ6PY9lyT0D0xciGnY2/meulEXLoj3qNPZ43nN9X7bob5/e6R17lOij2ua0llB3q719fcn7LI5Nat6C+qUce0/re5RE1E89o5p6rd+OcWgmumkAaABo/tq0JdcoIqLhxLYLaXcjwXA9liVLliAYDG7TNvsIif54kydPRmdnZ6/lnZ2d2GWXXQAAy5cvR21t7db3rp96Th0xUVJ9+cUvfoHy8vL8v3Hjxm2PLhIRERERERERERERDVnf/OY3ce211+KII45AdXU1ysrKHP/6o+QZEgsWLMCvf/1rnH/++WhulnvwtbW1+NWvfoU333wTALDbbrth7dq1/erQ1mhubkYmk+k1G6Kurq7XrAkjlUohlUr1uY6IiIiIiIiIiIiIaEfU3t6OiooKPP/8847lZgKAx1Py7YXSb0h87WtfwyOPPIK1a9fio48+gm3bmDhxIj744AOceuqpAIBIJIKf/exnJXdma6XTaSxYsAAzZ87Eww8/nF8+c+ZMPPLII9u9P0REREREREREREREw9E999yDVCqFc845Z/C+1HrZsmWYMmUKjjvuOOy+++6wLAtLlizBM888k+/QYP7y/7e//S3uvvtuzJ8/H6+//jouvvhiTJw4EbfcMnDZjURERERERERERES0bfA7JIaGvffeG/vvvz+WLVu2zdosfU6Feuqpp/Diiy8imUxus85sC/fffz9qamrwox/9CGPGjMF7772HE088EWvWrBnsrhERERERERERERERDQvz58/HhAkTBveGhGVZ+P73v49LLrkEo0ePxu67745Vq1bhmmuuwerVq3HHHXdss8711+9//3v8/ve/H+xuEBERERERERERERENS/PmzcMNN9yAX//611i4cCHS6bRj/cKFC0tus+QbEj/4wQ9wwQUX4Dvf+Q7+8Ic/OHY+Z86cIXFDgoiIiIiIiIiIiIiI+u++++4DAMfv/G3b3r5fan3++efj4osvxvPPP+/4XoZ3330Xe+65Z8kdICIiIiIiIiIiIiIybP03UgzXY5k0adI2b7PkGxLjxo3DihUrei13uVzwer3bpFNERERERERERERERDR4tvR7mf/xj3/goosuQmNj4yfWdZXaiUWLFuHTn/50r+Vf+tKX8Pbbb5faHBERERERERERERERDVNHHHEEgsHgFtUteYbET3/6U9x9990YN24cXC4XvvCFL2CPPfbA+eefj8997nMld5aIiIiIiIiIiIiIiEa+kmdI/OMf/8CZZ56JE088EbZt45prrsGUKVNw8skn49lnnx2IPhIRERERERERERHRDsK27RH3j0TpX4MN4Omnn8bTTz+9rftCREREREREREREREQjVMkzJIiIiIiIiIiIiIiIiEq1RTMkWltbt3haSU1NzVZ1iIiIiIiIiIiIiIiIRp4tuiHR0NCQf1xTU4Mf/OAHeOqpp/D6668DAA499FAcd9xx+NnPfjYgnSQiIiIiIiIiIiKiHYNty7+RYiQdS19+/vOfo7W1dYvqbtENiT/96U/5x3/729/wox/9CL/73e/yy+bNm4dvfetbOOaYYzB37tzSektEREREREREREREREPObrvths985jOoq6uDy+X8BggzQeGXv/zlFrdX8pdaH3fccfjud7/ba/lTTz1V0o6JiIiIiIiIiIiIiGhouuiii/D73/8ezc3NaGxsdHytg23b/UpMKvmGREtLC0477TRcd911juWf//zn0dLSUnIHiIiIiIiIiIiIiIhoaPnBD36A73//+/jVr361zdos+YbEj3/8Y9x+++34zGc+k/8OiU996lM4/vjjcdFFF22zjhERERERERERERER0eCoqqrCAw88sE3bdH1yFae77roLhx12GNrb2/GFL3wBp59+Ojo6OnD44Yfjrrvu2qadIyIiIiIiIiIiIqIdi/lS65H0bzh64IEHcOyxx27TNkueIQEAb7zxBr785S9v044QEREREREREREREdHgmT17dv7xihUr8LOf/Qyf+tSnsHDhQqTTaUfdefPmldz+Ft2QKCsrQ1dX1xY3GolEEI1GS+4MERERERERERERERENjjlz5jieR6NRHHnkkTjyyCMdy23bHrgbEm1tbRgzZgw2bdq0RY2uW7cO06ZNw6pVq0ruEBERERERERERERERbX+77LLLgLa/RTckLMvCRRddtMWzHrxe71Z1ioiIiIiIiIiIiIh2VLb+GymG57H88Ic/xHXXXYd4PO5YHggEcOWVV+JnP/tZyW1a2IKzsWrVKtglfvPGEUccgbVr15bcocFWVlaGzs5OlJeXlxRTRURERERERERERDsu/l5x65lz+OMf/wjJZHKwu7PN+P1+/PSn1wy790Ymk+kzOam6uhobN26Ex1P6V1Rv0RaTJk0quWEiIiIiIiIiIiIiIhqeLMvqc6LCfvvth9bW1n61WfotDCIiIiIiIiIiIiIiGpFaW1th2zZs28ayZcscNyXcbjcikQhuueWWfrXNGxJERERERERERERENGTYtvwbKYbbsTQ0NMCyLNxxx/9v797DrCzrvYH/hsMo4hCg0qCBYpKBlhKl6EZtUxJlbU07WFloqWg7j4gGHtC3TFNI4DWyeBXJrZntTM0THsIz2gVKSZh54OQwMyIHmYFhRpz7/WN01QTIDMPjWrP4fK7rd12znudZz7rv4b5GnC/387shxo8fH2+++WbuXENDQyxatCiefvrprbq3QAIAAAAAAIiIiF//+tfRsWPHiIh46KGHoqKiYpvdu8M2uxMAAAAAANDuvf322zF16tRcMLGtCCQAAAAAAIBmnnnmmRg0aNA2vedWPbJp6NChMWrUqPjwhz8cX/nKV2LZsmVxwgknxMKFC+PJJ5/cpgMEAAAAAGD78W5D5WLRXucyderUmDhxYnzoQx+KuXPnxtq1a5udf/7551t9z1YHEscee2zcdNNNcfPNN8egQYNihx12iIiIsrKyGDduXBx11FGtHgQAAAAAAFA4fvvb30ZExJQpU3LHUkpRUlISKaXo1Kn1+x1a/Y6LLrooTjvttLjpppvi+OOPzx1/6qmn4pJLLmn1AAAAAAAAgMLSr1+/bX7PVgcS++67bzz22GMbHV+zZk107959W4wJAAAAAADIoyVLlmzze7Y6kKisrIx99tknFi9e3Oz40KFD49VXX91mAwMAAAAAYPuTUlMVi/Y8l7333jvOPvvsGDBgQKSU4oUXXojJkydvdRbQobVv+OUvfxmTJ0+Ogw46KFJKsfvuu8c3v/nNmDBhQkydOnWrBgEAAAAAABSO4cOHx4IFC+Kggw6Kv/71rzF//vw4+OCD429/+1t89rOf3ap7tnqHxNVXXx0f+MAHYtasWbHjjjvGY489FvX19TFhwoT4+c9/vlWDAAAAAAAACseVV14Z11xzTYwdO7bZ8SuuuCJ++tOfxuDBg1t9z1bvkIhoamy96667xkEHHRRDhgyJ3XbbTUNrAAAAAAAoEgMGDIjrr79+o+M33HBDDBw4cKvu2eodEu+qq6uLuXPnbu3bAQAAAACAArV8+fI48MAD4+WXX252/MADD4zXX399q+7ZokDi97//fYtveNxxx23VQAAAAAAAIL1TxaK9zmXatGnxq1/9Kvbee+946qmnIqUUQ4cOjQsuuCAmTpy4VfdsUSDx5ptv5r4uKSmJL3/5y/Hmm2/GnDlzIiJi8ODB0b1797j99tu3ahAAAAAAAEDh+NGPfhQ1NTUxevTouOKKKyIiYtmyZXHppZfGlClTtuqeLQokvvvd7+a+vvLKK+O2226L0047LRobGyMiokOHDjF16tRYs2bNVg0CAAAAAAAoLJMmTYpJkybFzjvvHBERtbW1bbpfq5taf/e7340JEybkwoiIiMbGxvjZz37WLLgAAAAAAADav9ra2jaHERFbEUh06tQ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