{
 "cells": [
  {
   "cell_type": "raw",
   "metadata": {},
   "source": [
    ".. _sherpa_plugin:"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Example to use the Sherpa minimizer plugin with a JeSeT model"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "In this tutorial we show how to import a jetset model into sherpa, and finally we perform a model fitting.\n",
    "To run this plugin you have to install Sherpa: https://sherpa.readthedocs.io/en/latest/install.html"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [],
   "source": [
    "import warnings\n",
    "warnings.filterwarnings('ignore')\n",
    "\n",
    "import matplotlib.pylab as plt\n",
    "import jetset\n",
    "from jetset.test_data_helper import  test_SEDs\n",
    "from jetset.data_loader import ObsData,Data\n",
    "from jetset.plot_sedfit import PlotSED\n",
    "from jetset.test_data_helper import  test_SEDs"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "['/Users/orion/anaconda3/envs/jetset/lib/python3.8/site-packages/jetset/test_data/SEDs_data/SED_3C345.ecsv',\n",
       " '/Users/orion/anaconda3/envs/jetset/lib/python3.8/site-packages/jetset/test_data/SEDs_data/SED_MW_Mrk421_EBL_DEABS.ecsv',\n",
       " '/Users/orion/anaconda3/envs/jetset/lib/python3.8/site-packages/jetset/test_data/SEDs_data/SED_MW_Mrk501_EBL_ABS.ecsv',\n",
       " '/Users/orion/anaconda3/envs/jetset/lib/python3.8/site-packages/jetset/test_data/SEDs_data/SED_MW_Mrk501_EBL_DEABS.ecsv']"
      ]
     },
     "execution_count": 2,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "test_SEDs"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Loading data\n",
    "\n"
   ]
  },
  {
   "cell_type": "raw",
   "metadata": {},
   "source": [
    "see the :ref:`data_format` user guide for further information about loading data "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "/Users/orion/anaconda3/envs/jetset/lib/python3.8/site-packages/jetset/test_data/SEDs_data/SED_MW_Mrk501_EBL_ABS.ecsv\n"
     ]
    }
   ],
   "source": [
    "print(test_SEDs[2])\n",
    "data=Data.from_file(test_SEDs[2])\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "================================================================================\n",
      "\n",
      "***  binning data  ***\n",
      "---> N bins= 90\n",
      "---> bin_widht= 0.2\n",
      "================================================================================\n",
      "\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1000x800 with 2 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "%matplotlib inline\n",
    "sed_data=ObsData(data_table=data)\n",
    "sed_data.group_data(bin_width=0.2)\n",
    "\n",
    "sed_data.add_systematics(0.1,[10.**6,10.**29])\n",
    "p=sed_data.plot_sed()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [],
   "source": [
    "sed_data.save('Mrk_501.pkl')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## phenomenological model constraining"
   ]
  },
  {
   "cell_type": "raw",
   "metadata": {},
   "source": [
    "see the :ref:`phenom_constr` user guide for further information about phenomenological constraining "
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### spectral indices"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "================================================================================\n",
      "\n",
      "*** evaluating spectral indices for data ***\n",
      "================================================================================\n",
      "\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1200x800 with 2 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "from jetset.sed_shaper import  SEDShape\n",
    "my_shape=SEDShape(sed_data)\n",
    "my_shape.eval_indices(minimizer='lsb',silent=True)\n",
    "p=my_shape.plot_indices()\n",
    "p.setlim(y_min=1E-15,y_max=1E-6)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### sed shaper"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "================================================================================\n",
      "\n",
      "*** Log-Polynomial fitting of the synchrotron component ***\n",
      "---> first blind fit run,  fit range: [10.0, 21.0]\n",
      "---> class:  HSP\n",
      "\n",
      "---> class:  HSP\n",
      "\n",
      "\n"
     ]
    },
    {
     "data": {
      "text/html": [
       "<i>Table length=6</i>\n",
       "<table id=\"table140536530961072-3746\" class=\"table-striped table-bordered table-condensed\">\n",
       "<thead><tr><th>model name</th><th>name</th><th>val</th><th>bestfit val</th><th>err +</th><th>err -</th><th>start val</th><th>fit range min</th><th>fit range max</th><th>frozen</th></tr></thead>\n",
       "<tr><td>LogCubic</td><td>b</td><td>-6.411143e-02</td><td>-6.411143e-02</td><td>7.838958e-03</td><td>--</td><td>-4.778764e-02</td><td>-1.000000e+01</td><td>0.000000e+00</td><td>False</td></tr>\n",
       "<tr><td>LogCubic</td><td>c</td><td>-1.751705e-03</td><td>-1.751705e-03</td><td>1.127020e-03</td><td>--</td><td>3.576201e-03</td><td>-1.000000e+01</td><td>1.000000e+01</td><td>False</td></tr>\n",
       "<tr><td>LogCubic</td><td>Ep</td><td>1.703747e+01</td><td>1.703747e+01</td><td>9.437333e-02</td><td>--</td><td>1.626870e+01</td><td>0.000000e+00</td><td>3.000000e+01</td><td>False</td></tr>\n",
       "<tr><td>LogCubic</td><td>Sp</td><td>-1.030068e+01</td><td>-1.030068e+01</td><td>1.884116e-02</td><td>--</td><td>-1.025412e+01</td><td>-3.000000e+01</td><td>0.000000e+00</td><td>False</td></tr>\n",
       "<tr><td>host_galaxy</td><td>nuFnu_p_host</td><td>-1.006556e+01</td><td>-1.006556e+01</td><td>5.462500e-02</td><td>--</td><td>-1.025412e+01</td><td>-1.225412e+01</td><td>-8.254123e+00</td><td>False</td></tr>\n",
       "<tr><td>host_galaxy</td><td>nu_scale</td><td>1.730750e-02</td><td>1.730750e-02</td><td>3.694838e-03</td><td>--</td><td>0.000000e+00</td><td>-5.000000e-01</td><td>5.000000e-01</td><td>False</td></tr>\n",
       "</table><style>table.dataTable {clear: both; width: auto !important; margin: 0 !important;}\n",
       ".dataTables_info, .dataTables_length, .dataTables_filter, .dataTables_paginate{\n",
       "display: inline-block; margin-right: 1em; }\n",
       ".paginate_button { margin-right: 5px; }\n",
       "</style>\n",
       "<script>\n",
       "\n",
       "var astropy_sort_num = function(a, b) {\n",
       "    var a_num = parseFloat(a);\n",
       "    var b_num = parseFloat(b);\n",
       "\n",
       "    if (isNaN(a_num) && isNaN(b_num))\n",
       "        return ((a < b) ? -1 : ((a > b) ? 1 : 0));\n",
       "    else if (!isNaN(a_num) && !isNaN(b_num))\n",
       "        return ((a_num < b_num) ? -1 : ((a_num > b_num) ? 1 : 0));\n",
       "    else\n",
       "        return isNaN(a_num) ? -1 : 1;\n",
       "}\n",
       "\n",
       "require.config({paths: {\n",
       "    datatables: 'https://cdn.datatables.net/1.10.12/js/jquery.dataTables.min'\n",
       "}});\n",
       "require([\"datatables\"], function(){\n",
       "    console.log(\"$('#table140536530961072-3746').dataTable()\");\n",
       "    \n",
       "jQuery.extend( jQuery.fn.dataTableExt.oSort, {\n",
       "    \"optionalnum-asc\": astropy_sort_num,\n",
       "    \"optionalnum-desc\": function (a,b) { return -astropy_sort_num(a, b); }\n",
       "});\n",
       "\n",
       "    $('#table140536530961072-3746').dataTable({\n",
       "        order: [],\n",
       "        pageLength: 100,\n",
       "        lengthMenu: [[10, 25, 50, 100, 500, 1000, -1], [10, 25, 50, 100, 500, 1000, 'All']],\n",
       "        pagingType: \"full_numbers\",\n",
       "        columnDefs: [{targets: [2, 3, 4, 5, 6, 7, 8], type: \"optionalnum\"}]\n",
       "    });\n",
       "});\n",
       "</script>\n"
      ],
      "text/plain": [
       "<IPython.core.display.HTML object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "---> sync       nu_p=+1.703747e+01 (err=+9.437333e-02)  nuFnu_p=-1.030068e+01 (err=+1.884116e-02) curv.=-6.411143e-02 (err=+7.838958e-03)\n",
      "================================================================================\n",
      "\n"
     ]
    }
   ],
   "source": [
    "mm,best_fit=my_shape.sync_fit(check_host_gal_template=True,\n",
    "                  Ep_start=None,\n",
    "                  minimizer='lsb',\n",
    "                  silent=True,\n",
    "                  fit_range=[10.,21.])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "================================================================================\n",
      "\n",
      "*** Log-Polynomial fitting of the IC component ***\n",
      "---> fit range: [23.0, 29.0]\n",
      "---> LogCubic fit\n",
      "\n",
      "\n"
     ]
    },
    {
     "data": {
      "text/html": [
       "<i>Table length=4</i>\n",
       "<table id=\"table140536535202688-727593\" class=\"table-striped table-bordered table-condensed\">\n",
       "<thead><tr><th>model name</th><th>name</th><th>val</th><th>bestfit val</th><th>err +</th><th>err -</th><th>start val</th><th>fit range min</th><th>fit range max</th><th>frozen</th></tr></thead>\n",
       "<tr><td>LogCubic</td><td>b</td><td>-1.565399e-01</td><td>-1.565399e-01</td><td>2.551779e-02</td><td>--</td><td>-1.000000e+00</td><td>-1.000000e+01</td><td>0.000000e+00</td><td>False</td></tr>\n",
       "<tr><td>LogCubic</td><td>c</td><td>-4.351917e-02</td><td>-4.351917e-02</td><td>2.032066e-02</td><td>--</td><td>-1.000000e+00</td><td>-1.000000e+01</td><td>1.000000e+01</td><td>False</td></tr>\n",
       "<tr><td>LogCubic</td><td>Ep</td><td>2.529709e+01</td><td>2.529709e+01</td><td>1.817241e-01</td><td>--</td><td>2.536916e+01</td><td>0.000000e+00</td><td>3.000000e+01</td><td>False</td></tr>\n",
       "<tr><td>LogCubic</td><td>Sp</td><td>-1.058825e+01</td><td>-1.058825e+01</td><td>5.046950e-02</td><td>--</td><td>-1.000000e+01</td><td>-3.000000e+01</td><td>0.000000e+00</td><td>False</td></tr>\n",
       "</table><style>table.dataTable {clear: both; width: auto !important; margin: 0 !important;}\n",
       ".dataTables_info, .dataTables_length, .dataTables_filter, .dataTables_paginate{\n",
       "display: inline-block; margin-right: 1em; }\n",
       ".paginate_button { margin-right: 5px; }\n",
       "</style>\n",
       "<script>\n",
       "\n",
       "var astropy_sort_num = function(a, b) {\n",
       "    var a_num = parseFloat(a);\n",
       "    var b_num = parseFloat(b);\n",
       "\n",
       "    if (isNaN(a_num) && isNaN(b_num))\n",
       "        return ((a < b) ? -1 : ((a > b) ? 1 : 0));\n",
       "    else if (!isNaN(a_num) && !isNaN(b_num))\n",
       "        return ((a_num < b_num) ? -1 : ((a_num > b_num) ? 1 : 0));\n",
       "    else\n",
       "        return isNaN(a_num) ? -1 : 1;\n",
       "}\n",
       "\n",
       "require.config({paths: {\n",
       "    datatables: 'https://cdn.datatables.net/1.10.12/js/jquery.dataTables.min'\n",
       "}});\n",
       "require([\"datatables\"], function(){\n",
       "    console.log(\"$('#table140536535202688-727593').dataTable()\");\n",
       "    \n",
       "jQuery.extend( jQuery.fn.dataTableExt.oSort, {\n",
       "    \"optionalnum-asc\": astropy_sort_num,\n",
       "    \"optionalnum-desc\": function (a,b) { return -astropy_sort_num(a, b); }\n",
       "});\n",
       "\n",
       "    $('#table140536535202688-727593').dataTable({\n",
       "        order: [],\n",
       "        pageLength: 100,\n",
       "        lengthMenu: [[10, 25, 50, 100, 500, 1000, -1], [10, 25, 50, 100, 500, 1000, 'All']],\n",
       "        pagingType: \"full_numbers\",\n",
       "        columnDefs: [{targets: [2, 3, 4, 5, 6, 7, 8], type: \"optionalnum\"}]\n",
       "    });\n",
       "});\n",
       "</script>\n"
      ],
      "text/plain": [
       "<IPython.core.display.HTML object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "---> IC         nu_p=+2.529709e+01 (err=+1.817241e-01)  nuFnu_p=-1.058825e+01 (err=+5.046950e-02) curv.=-1.565399e-01 (err=+2.551779e-02)\n",
      "================================================================================\n",
      "\n"
     ]
    },
    {
     "data": {
      "image/png": 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ExBFKTImIiIiIiIiIiCOUmBIREREREREREUcoMSUiIiIiIiIiIo5QYkpERERERERERByhxJSIiIiIiIiIiDhCiSkREREREREREXGEElMiIiIiIiIiIuIIJaZ8zBgz0hizDJjvdCwiIiIiIiIiIv5MiSkfs9a+ZK1NATo4HYuIiIiIiIiIiD9TYkpERERERERERByhxJSIiIiIiIiIiDhCiSkREREREREREXGEElMiIiIiIiIiIuIIJaZERERERERERMQRSkyJiIiIiIiIiIgjlJgSERERERERERFHKDElIiIiIiIiIiKOUGJKREREREREREQcocSUiIiIiIiIiIg4QokpERERERERERFxhBJTIiIiIiIiIiLiCCWmRERERERERETEEUpM+ZgxZqQxZhkw3+lYRERERERERET8mRJTPmatfclamwJ0cDoWERERERERERF/psSUiIiIiIiIiIg4QokpERERERERERFxhBJTIiIiIiIiIiLiCCWmRERERERERETEEUpMiYiIiIiIiIiII5SYEhERERERERERRygxJSIiIiIiIiIijlBiSkREREREREREHKHElIiIiIiIiIiIOEKJKRERERERERERcYQSUyIiIiIiIiIi4gglpkRERERERERExBFKTImIiIiIiIiIiCOUmBIREREREREREUcoMSUiIiIiIiIiIo5QYkpEpIxlZOeSNHoaSaOnkZGd63Q4IiIiIiIijqn0iSljzGRjzD5jzCdF7LvYGLPCGLPKGDPEifhEpOJJz/o7GfXq7LWkZSk5JSIiIiIilVOlT0wBzwMDC280xgQCTwPnAW2Be40xVcs4NhGpIDKyc8nIzmXXwUyuHDfv8PYXZ67i0hfmsOtgpoPRiYiIiIiIOCPQ6QCcZq2daYw5t4hdHYCl1totAMaYL4GewPtlF52IVBQpD04vcrvbA2t3p9N+7Hesf+yiMo5KRERERETEWX5dMWWM6WKMmWqM2WqMscaYPkUcc7MxZp0xJtMYs8AY09lHp68NbClwfzOQ4KOxRUREREREREQqPb9OTAERwCLglqJ2GmOuBp4FxgJtgB+Br4wxiQWOWWCMWVLErfYJzm2K2GaL8yRERJb9uwcrL93EXdUXEGCOfCkJdBnu6NbIochERERERESc49dL+ay1XwFfARhTVJ6IUcB4a+0beffvMMb0BEYA9+WN0a6Yp9/CkRVSdYBfjnWwMSYECCmwKQrA7XbjdruLGYL4A7fbjcfj0c9Rij8XPG5Cv7sf1/zXGFT9dD6jJhuoQS6BBBoP9aJcDK69DvemA1CrDRT9eid+Rq8Nkk9zQfJpLkhBmg+Sz9dzQXNKKhq/TkwdjzEmGGgHPFZo1wzgLB+cYj7QwhiTAKQCFwJjjnP8fcBDhTeuWbOGyMhIH4QjTvF4POzdu5fVq1fjcvl7kaGUplOZCyY3k+iN3xCcuoGw3YsI27OE7affy/7ky/nvrk08+eXvZBJCt8A/GJz5FZEfe5ufb2t/Hwca9imDZyMlpdcGyae5IPk0F6QgzQfJ5+u5kJaW5oOoRPxHuU1MAfFAALCj0PYdQM2THcQYMx3vVfcijDGbgcustb9aa3ONMXcBM/EueXzcWrvnOEM9ivcqfvmigM0NGzYkOjr6ZMMRP+R2u1m9ejXJyckEBAQ4HY446FTmglnwFq75j2CrJELVBni6f0C15POpBmTUq8/P07IBeOfuQYTlPIzbGMyPT1Lz96ep3roX1GxRBs9ISkKvDZJPc0HyaS5IQZoPks/XcyE1NdUHUYn4j/KcmMpXuO+TKWLbsR9sbc/j7Psc+Pwkx8kCsg4HkbcUJyAgQL+IKgCXy6WfpQAnngsZ2bmkPDid14Leo1vSWQTc+BXgzaLniwoLKHQFvireLxc+AVsXEvDpDTBsFoRElcZTEB/Sa4Pk01yQfJoLUpDmg+Tz5VzQfJKKpjzXlO4G3BxdHVWdo6uoyowxZqQxZhnepYAiUgkFkctZrqW4G553ig8MhasmwsHtuD++gUajp5A0ehoZ2bmlE6iIiIiIiIjDym1iylqbDSwAuhfa1R2YW/YReVlrX7LWpgAdnIpBRJzVzrWSSJOJu8EpJqYA4hrCVRNxrZvFi0HPE4iSUiIiIiIiUnH5dWLKGBNpjGltjGmdt6l+3v3EvPtPA0OMMTcYY5oZY54BEoFxTsQrIgLQxfUnu2w0tkbLI7Z/u+FbHp77MDvST1DUmXw+WX0n0tW1kHFBz2B2/VWK0YqIiIiIiDjHrxNTwOnAwrwbeBNRC8m7Op619kPgDuBB4A+gC3ChtXZDWQcqIgKQnpXLdk8sA7Lv49Uf1pOW5a14+nTVp4yaNYov1n7BpZ9dyttL3ybHnXPMcQ7WPY8Lsh5jfG4vxr/8X9LeuBR2rSirpyEiIiIiIlIm/Lr5ubV2Ft5m5sc75mXg5TIJ6CQYY0YCI/H/pJ+I+Eh+D6j0rFyufOVHNnu6kUsgK79fxXu/reDiziv4ZM1Erm5yNbe2uZWX/niJJ397konLJtK/WX8uaXgJcaFxHMpx/z3OuHmsJ4G1NoH5nuZMXr+LyR8OJ/qmGRAY7OTTFRERERER8Rm/TkyVR9bal4CXjDHRwAGn4xGR0pfy4PTD3xs82LyXVo+FXQc8vDtvM7d0G8qtbW7FGMM/z/gnVze5molLJ/LCwhd4esHThAeGk5panczN12HdR16Nz20Na3Kr8da2etw+52k4d3SZPj8REREREZHSoqoeEREfske9rAaSvac7t7W9DWP+LgBtWKUhY84ew4wrZvDsuc8y4rQRBIRsJzj++2OMbJjs7gw/PAHbl5Ra/CIiIiIiImVJiSkRkRJaNqYny8b05PYuCUddRS/QZbijW6NjPjY+LJ5u9boxqMUgRrYdSnj8rwzuXJ2AQq/OgS5Dn/POgrhGMO2u0ngaIiIiIiIiZU6JKRGREgoPDiQ8OJCh4bOpZ3YCFgCXy1IvLpwhXRqc1DiDWgygSkgV0sI/p17ViMPbA13GO845jeGce2DTz7B3XWk8FRERERERkTKlxJSPGWNGGmOWAfOdjkVEypA7l8iFrzOpzUJM8E4CIv5iUKeaTLmlE5EhJ9fOLywwjJta3cT0jVN49Jrqh7eP7Jr89ziNe0JgGCz7rJSeiIiIiIiISNlRYsrHrLUvWWtTgA5OxyIiZWjlV3BgEyFn3EBwlQWE1vqUu7qddtJJqXyXN76cOlF1GLfkKfIrr4af0+DvcYIjoHEPWDqZjOxckkZPI2n0tMNXBhQRERERESlPlJgSEfGFX16FOh2wtVoTELYB96GkI5qdn6wgVxD3n3E/v+2YT2DMb0Uf1Pwy2LYIs299yWIWERERERFxmBJTIiIltX8jrP8ROgwly52FK3Qz7ox6xR7u7ISzubThpVRPmsGvD3YgPLhQ1VWjHhAYRsBfU0oYuIiIiIiIiLOUmBIRKamD271fa7Tgr73LMS437kPFT0wB3H363QS5gvjPz//B7XEfuTM4Ahr3JHC5ElMiIiIiIlK+KTHlY2p+LlIJZad5vwZH8OeuP7CeYDyZtUo0ZJXQKjzY8UFmb57NsG+GsfvQ7iMPaN6HjG0riOEgAK/OXktalvpM+SP1AhMREREROTYlpnxMzc9FKqGsvMRUSBSLdi/EfaguEFDiYbvV68YbPd5gzf41XDn1SlbtW0VGdi4Z2bnsqtmF3tmPkEoEAC/OXMWlL8xh18HMEp9XfCu9QMLwWAnEXQczDyevnvlmpZKMIiIiIlJpKDElIlJS2ekApBuYv/0X7u5yKesfu+jo3lDF0L5mez659BNCA0IZt2gcKQ9OJ+XB6bR/4mfW2RrYvJdxtwfW7k6n/djvSnxOKbnDCcSDmVw5bt7h7QUTiCdzjIiIiIhIRVfyT00iIpVddhq4gvh+609kubPoldTLp8PHh8VzXbPreOq3pzCBp2NzowHw+KAqS0pHyoPTi9x+MgnEgsesf+yi0gpRRERERMQvqGJKRKSksg5CSCRfr/+aNtXbUCuyZP2linJp8qUEugIZdfk+lo3pye3dGhFgjjwm0GW4o1sjn59bjs+fluH5UywiIiIiIidDiSkRkZLKTudASCRzt8zlgqQLSuUU0cHRXNTgIqas+ZTgQBjapQH14iIIxJt4CHQZ6sWFM6RLg1I5vxwpfxnevoxcrn7972td5C/Dm333OX8nEAv9ps1PIC4b0/OEx5xKLFoSKCIiIiLlkZbyiYiUVHYa34SF4CGXHkk9Su00VzW5ikmrJjF782y6JXbjw+EdefjR/7DNxtG568UM7dKAyBC9rJ8UayHzABzcDmnbIWOv937+LSv17++z08GdnXfLAXc2e3YdIMjk8kNudza7Lyb/16nbAxt2H+DNp+7j34l/MDQwli8Cr2ZddhQeAgjEQ72wHIaEziT8rz8gsjpDm1Vj6h+hrN1zCDCnnGQ8mWWDWhIoIiIiIv5Kn2B8zBgzEhiJqtFEKo/sNL4OtrSv2Z74sPhSO01KXAqt4lvx8YqP6ZbYjYiQQMJNNp8EjSGzfX/ClZT6W24W7N8Ie9fBvnWwbz2kbv07EXVwO+QWriQyEBoNoTF5tyrer9FVIDCYfe4Q7vq1CuttTWqbPbQ065jmOQN3oV+lbgL5ydMC6gQRmZ3OlNDpTNhej9/Sq3F64FoGBX1L5Oxdh88fCXxuQxkfcAHzPM05O2Yvg2tuI3LWNxCbBFXrQ2x9qJIIAUEl/qfJyM49nMxaNqanT5r0i4iIiIgUl96N+pi19iXgJWNMNHDA6XhEpPTtydzHr64cHqp/Yamfq3u97rz0x0u4PW4AfnS3xBVkCVj/A7S+otTP71eshbSdsHMZ7FwOu/6CvWu9SagDmwHrPS4gxJvUiUnwJnoSz4CoWhBZw/s1qgaEx0FwFLiO/JtCRrZ3qWR6Vi5XjpvHepsBwAaTwKbYjpxeI5Atf6Xi9vz9mECX4eKuXaH7cMCbeLqlqPiz0yFtB6TtJPLgdm5P28ntaTsg7SAcOAB/LYIDm8CT1yfKuCCmDlRtANWaQY0UqNGcZf/qDEHhvDp7LS/OXHVULLd0TT7itOkF+k69OnutKu1ERERExFF6JyoiUkK7s1PxAMlVkk94bEmlxKWQ6c5kfep6aoXXYztxrPQk0GDdzIqdmMrNgh1LYNuf3iTUzmXeW8Ye7/7AUIhv7E3a1Gn/d5VR1foQVfuohNPJOt4yuQ17MtiwB+rHh7NutzdhdUrL8IIjvPFWPc6x7lxI3exNtu3Nq/zasxpWzYBfxgGWcAxUrc/QuFZMDb2EdRkhWFxHxFI4wZbvxZmrmLpoKx8O70i1qNCT/FcREREREfEdJaZEREoq5xAEgMGc+NgSahrXFIBle5ZRK7weALM9p5G85htvBZEp/RhKnccDe1bBlt9hywLvbccSb48n44K4ZKieAh2GQ/VmUKO5txLKFeBIuO8P6UDHx2YBMLJrsm8rkAICvc8tNgkanHvkvuwMb5XYjqWwcxmRO5YyJeRBJma14zdPE9qF72Rw3Wwi/1jBpZ9lsdzWI6fwskP1oRIRERERhykxJSJSUtkZEFY2p4oOjqZOZB2W711Ot7q9APje04ahaV/CtkVQu3XZBOJLOZne5NOGn7y3Lb97m48DxDWChHZwWj/v1xrNIajsKnuWjekJcMxlcte0rEK1qFBnkjrB4ZDQ1nvLE2Utt+zfCFt+g83psHkZzJjE5yHZZNkgrsr+F4ts6Vf2iYiIiIicLCWmRERKKsebmDJlVK3ULK4Zy/csP3z/N08TbEgUZtWM8pGYys6AzfNhfV4iavNv4M6CkBhI7Aid7vAmoWq1hrAqjoaa3xh8aJcGTF20lbW704G/l+xd3qKKg9EVwRiIree9tejr3ZabRebmP3Bt/o1uv+1n6fZccgv8+g80Hm5pHwUe9+Gqs10HM2k/9jsAbu/WSH2oRERERKTU6F2miEgJ2dwMoOyqeFLiUhi/eDwe6y3fySEQd/2uBK78Gs65p8ziOGnWevtBrf4WVn8HG+d5l+WFxUK9s+H8hyHpbKjRwrHleCcSGRLIh8M7Hk7WjOyazA1n12PbxnUOR3YSAkMITToDks7ghva5fPbCj6zdnQa4CMRNPXYwZNEQ7Kpw3A3P50DSBVz5fZXDD1cfKhEREREpTUpMiYiUVLY3MVUWPaYAmlVtRlpOGnuztv+9hOyPA/DZzd6r1EVWL5M4juvQPlg76+9k1MFtEBgG9TtD9/94v1ZrVuym5E4ovGTP7XY7GE3xeBNsZ/6dYOvWlKFnnU/k7ua88PqrnP/nz3y3MJNN7ivIf4ugPlQiIiIiUpqUmPIxY8xIYCRQfj5tiUjxedzeZWhlqGnVvAboe5eRGJ3o3Zjc3ft11TfQ5royjeew/Rvhr2mw/AvYOBesB6o19S4pS+4GiWeVaX8oKVqRPbEizuKp3H08xVWEkIW7iLcH9dgOe9ZAXENAy/1ERERExDf0DtLHrLUvAS8ZY6KBA07HIyKlLDsNW8anjAuLo0Z4DZbvWc4FSRd4N0ZW8/ZlWjW97BJT1sLO5fDXF7B8Kmz/EwKCof45cNFT3mRZlbplE4uU2HEbvePmyuC58MIo3LVac6DxFVw5v+nh/fnL/T6/tZOSUyIiIiJySvTuUUSkJLLT//6+bFbyAUc3QAegcU+Y+wLkZkFgSOmc2FrYsQQWfwLLpsC+dRAcBY26e5uWJ3eH0OjSObeUquM3eo9m0LBnuPnR2lyyeR4rNy5gszuRwsv9Jvy0jlvOa+TUUxARERGRckiJKRGRksgq+4opgJSqKbz313tYa/++GmDzy2HWY/DLODj7dt+ecO86WPKJNyG16y9v4/Jml0Cvx6HBOaWXCJMyV1Sj9/xlel96OvKlpyMB5Ba53O+3Zavh3Ibgcmmpn4iIiIicFL1DFBEpieyDh78tq+bn4K2Y2p+1n+3p26kVWcu7MT4Z2g+B2Y9Dq6shqmbJTnJwByz91JuM2vIbBEVA0wuh+xho0BUCg0v+RMQvRRRIIA0/p8HhaqoTLfdrv+0DPM/dw/7mA7hyYZvD+3RlPxERERE5FiWmRERKIjvdkYqpJrFNAFi5b+XfiSmArvfB4o/h23/DZa+c+sDuHFg5HRa+422kblzeZXp9x0OTXhAc4aNnIP4sPDiwyCvwnWi534xd7ai25wBbZi9ns7sJurKfiIiIiJyIElMiIiWRlebIaauHVyfIFcTmtM1H7giLhW4Pwhd3wOk3QN32Jzfgzr+8yag/P4T0XVC7LVz4BDS/DMKr+jx+Kd+OtdyvxUPpLMptdMylfgHklnWoIiIiIuLnlJgSESmJAs3Py3IpX4ArgNqRtdmStuXonW0Hwm9vwlf3wJDvwOUqepCsNFjyCQd+fZ93NlVnrqcFZyTewY3XnENk3Zal+wSk3KsWFXpU9dPxl/rlcEfwVPhyDnQY7l16KiIiIiKV3jE+rYiIyEnJPuhd7uaAhMgEthwsIjHlCvA2Jd/6Oyx67+j9u1aQM/Uu7FNNODj1Pi7bOpAn3Vcx17bg+U31ufTDPew6mFn6T0AqnPDgQMKDAxnapQH1qv697NO71C+KQZ2SYcmn8GI7+N8VsOZ775UeRURERKTSUmJKRKQkstIgKBzg76vjlZGEyISiK6YA6p0JLa+Ebx+GzAPe3lHLpsCEi+GlDuz/7SNezDifszKfY212FfJ/HRTsBSRSXPlL/fKN7JrMlNvOIbLHfXDnUuj9MqRth3cug9fOhWWfg8dz7AFFREREpMLSUj4fM8aMBEaipJ9I5ZCdjg0Kc+TUCZEJfLXuK6y1RSfFuo/BvnA6v/xfT5LMdmqafVC3I/Qdz9nvBpJNUNkHLZXGsa7sR1AotLkOWl8La2fBj0/BRwMgvgl0HgUt+kKA5qZIRZGRnUvKg9MB73Lfw68FIiIiefSbwcestS8BLxljooEDTscjIqUsOw0Cw4CcMu0xBZAQlUBaThqp2anEhMQcfUB0bfadNZp53y7kX+5BXHRGCkMuPIvIkED+GONtQl1kLyCX4Zau6v8jJXOsK/sdZgw07Oq9bZrvTVBNHg4zx8LZd0Dr67xJLBERP6Wkm4iIb6iqR0SkJLLTwKGKqTqRdQCOujJfRnYuGdm57DqYyeW/teQ5d19WUZcXfj3IpS/MYdfBzBP0AgpnSJcGZfpcpJKr2wGu/RBumgMJp8O0u+C50+CX1yA3y+noRERERKQUKTElIlISWWnY4HBHTp0QmQBwVAP0lAenk/LgdNqP/Y71ezIgr5KrqP5RRfYCuqUTkSH6q684oGZLuPItuOU3aHgefH0vvHA6LHwX3LlORyciclIysnNJGj2Nhvd/TWaO+ueJiJyIPnmIiJRE/lI+d9mfukpIFcIDw4/dAP0kVYsKPf6SK5GyFp8Ml70Cne7wLu2bcjP89Cx0vR+aXQou/V1NpDLzZGWRs2UrOVs2k7NlC7l79uDefwD3vn249+/Hk3kIm52Dzc7GZmdjAgIwQUGHb66YGAJiqxAYG0tAbFWCEhIITqxLUN1EAiIjThyAiIj4lBJTIiIlkZ2ODYtwJDFljCEh6ugr8y0b0xNQ/yipAKo1gavehq0L4ftH4OProdZpcN6DkNzN26dKRCqs3H37yFq5iqyVK8lauYKs1WvI3rwJ967dfx8UEEBA1VgCq8QSUKUKAVWqEBhXFRMcjAkOwQQFYT1ubE6O95aVjTv1AFkrV5Gxbx+5e/ZgMzL+Hi4+ntCmTQlt0ZywFi0IbdGCoJo1i4wvPevvSs5XZ69laJcGRIYEHrH94yX7qd8wl5jwAN//A4mIVBBKTImIlETWQYiJh0yKvjJeKUuITDiqx1R+89WhXRowddFW1u5OB9Q/Ssqx2m2g/yRY/xN8/x94ty8kdYYLHvUu/xORcs9z6BCHFi/m0B+LOPTHH2QuWULuzp0AmKAggpOTCWmUTMRZZxGUkEBQnQSCExIIrFEDE1j8jzTWWtz79pGzcSPZGzeSvX49mUuXsf+TSewZ9yoAQfUSiTjrLCLOOgtXm3a4oqNJz8rlynHzDo/z4sxVTPljC6/0b8OI/y08vP39P/cxd8tcPhp+JtWidEEHEZGiKDElIlIS2ekQ6EyPKfA2QJ+zZU6R+/L7R+X3lBrZNfnwX3NFyqWks2HwV7BqBsx4AMZ1hrYD4Lx/QWR1p6MTkSIcq6rInZZGxvxfSZ83j0MLFpC5YgW43bjCwwlt1YqYPn0IadKY0CZNCK5XDxMUVCrxGWMIrFqVwKpVCWvd+vB2ay25O3dyaNEi0ufNI33uXPa//wFu4+KPaslMaNaL9VXqHK7cdHtg/Z4Mej330xHjeyys253h7fuoZfMiIkXSpxMRkZLITsM6dFU+gDpRddiathWP9eAyR/fdUf8oqXCMgcY9vc3Rf3sLZv0fLJkMXe6CM0ZAkCoSRJyWke1NRh1VVfTdKj6btYSX1nxKwOI/wO0mqHZtwtu3p8pVVxLWujUhjRphApxf9maMIahGDYJ69CC6Rw8Asjdv4c5RL9FlyyJistK1nFhExEeUmBIRKYmsNMhLTBmcWcqX7clm96HdVA9XxYhUIgFBcMYwaHkFzH7c24Pqt7eg+xhI6a0PjCIOSnlwOgBh2ZkcCgqGvD+cuIHN2QE8EdCEZ/91CRFnnUlQ3bqOLIUvjuA6CTzxvzEAbP7yT/74eSvuAr/7A7G0rRPFgq1p6u8oInIKdFkbEZHisjavYsq5Co2EyASAEl+ZT6TcCq8KvR6DEfOgWlNvg/QJF8POv5yOTKRcy8jOJWn0NJJGTztcAXUi1loOLV3KtX/N4LlZz5Kyd93hpFQ+d0Ags+u2JfaaqwlOTCw3Sal84cGBhAcHMrxXK+rFRx7eHmg91Erbxe0T/kkde8j7HgEIMKi/o4jICSgxJSJSXDkZgIUgb48ppyqmADYf3HyCI0UquGqN4bqPvE3SD26DcWfDt/+G7IwTP1ZEis16PGQsXMiORx9lddfzWN/3CgZumUfrji3ocHpjAgr9agx0Ge7o1siZYH0ov49jvpHnN2HqA5fQ5Mb+PDv7efr/NZ3E1G1c0zCYT0ecqf6OIiLHoVdIEZHiyvZe7Y5A5yqmwoPCqRpaVRVTIvmSz4cRc+GnZ+HHp2HJJ3Dhk96+VCLiE9ZaMhcvJvXLr0idPp3cbdsIqBZPdI+eRHU/n/B27TBBQYzMymX6C3Mq7NVhIwokm4af08B7VdwRIwi95lqybhzD43NeIfqHbA7tv57Im0YQEBnhYLQiIv5LiSkRkeLKOuj9ml8x5dByhITIBCWmpNzLyM493Jdm2Zie3g94xRUUCueOhpZXwrS74L2roOnF0Ou/EFPHRxGLVC7WWjKXLCX16684+NXX5GzdSkBcHNE9exDdqxdhbdse1bS8sl4d1hURwceNz2Nqg7P5OGwR+//3LqlTplD9zlHE9OmNcWnRiohIQRX7t4IDjDEjgZFomaRIxZed5v3q4FX5AGpG1GRH+g5HYxDxS3ENYcBkWPopfH0fvNgBuv4TOo4Al/NX/RLxe9bS8MAW9j37DFtnzCBn82YCqlYlqkd3oi/oRXj70094Bb0iq4oquPDgQNY/dhFut5tVq1JIGjaUPc88w7Z//pN9H3xArf/8h4O1Ew8n7G7v1qhSJOxERI5Fr34+Zq19CXjJGBMNHHA6HhEpRXlL+Wygs4mpuNA4NqRucDQGEb9lDLTo613i9/1YmPGAN1HV+2Wo3tTp6ET8jrWWrL/+YvPUr7ls9VY2RtXg9d920P/MTiRe2IPw9u0xgfoIAX8noE4kqHYtEp5+irCrrmbvf/7D0qv6cefFD4ANAmN4ceYqpi7ayofDO1Ityrn2ACIiTtFvFRGR4srKq5gK9iamnGh+DhAfFs/uQ7sdObdIuREaAxc+Di2vgM9uhlc7e5f7nXU7BOjtkFQsp7o01lpL1spV7J02jfTpM0jdso07ut7BloYN8bgC+MPVjB9iIviwRRsilJQqtraf7SIoZQjNq69hc3YA+Z3h3R5Yuzud9mO/O6lEl4hIRaPfLCIixZW3lM8GhjgaRnxYPPsy95HrySXQpZd1keOq2wFu+hFmPQrfPwLLp3qrp2qkOB2ZSJnLWrWK1K++JvXrr8leu5aDQWHMq9WCD8+5iq3h8d6KQ5Q48aWcgED+qNHE6TBERPyKPsGIiBTX4R5T3ubnDhVMERcWh8WyP2s/8WHxzgQhUkLpWbmHv3919trS7bcSFAbdx0CzS2HKSHi1C5x7L5x9BwQElc45RfyAtZasVas4OH0GqdO/Jnv1GlyRkUR160aNe++h9bT95OoPHKVm2Rjv1UFfnb2WF2euwu35e1+gdTOyc32HIhMRcZZ+84iIFFdWmjcpZZy91kF+Mmr3od1KTEm5kpHtTUalZ+Vy5bh5h7eXWb+VOqfDsNkw+78w81FY9jlc/hpUb1Z65xQpA0cmetcwoKYbz/ffcHD6DLLXrsUVGUnkeV2pPuouIjqdjSs4GIA/z8zNe0wRiROX4ZauyWX6PCqa/CWVQ7s0YOqirazd7e1VGQjUSt9LtxdfI7PB44SmqIJTRCoXXTlORKS4stMhOAKLdTSMuNA4APYc2uNoHCKnKuXB6aQ8ON27PGhPxuHtBZcNlbqgUDj/IRjyLbiz4bVz4ZdXwTr7/1rkVGVk55KRncuug5neRG/eHH7xmxVcNu5ntrz/MWGnnUadca/QaO5PJDz+OFHndT2clAJv4iQ8OJChXRpQr2rE4e2BLkO9uHCGdGlQ5s+rIooMCeTD4R0P3x/ZrRFT7jiHyPBg1ve7ltSvp5/UOBnZuSSNnkbS6GmHE/0iIuWRKqZERIor+yAERx6+61Tz87gwb2JKDdBFSiChLQybBd88BF/dA6u+gd4vQVQNpyOTSuRUm5YX1PKBL2m+Zx3B7hw2Vm8MrgAA3K4ANkVW4/Iu97Du0UtPaqz8xEl+cnhk1+TSXV5bCVWLCj2qX1eV999n2z/vZ8sdd5B9553EDRuKMQ71CRARKUP67SIiUhwZe2HzbxASiXW4siI4IJio4Cj2ZKpiSsqX4/ZbcWLZUFCY98p9jbp7r9z3ylne5FSTC8o2DpGT5D5wgLQffiRt5kze/2YmUTmHuPfsm/DkJaUOMy7sKeY3IgokoYaf0+CUkmRSPK6QEGo/+QTBSUnseuYZsteto9aYf2MKVLWJiFRE+g0jInIqrMUseg++fQjcOXDpC4d3OVUxBd4+U6qYkvLmmP1WSrhsqCRVJ4A3MTViLnx+K7x/NZx+I/R4BILDixWPyMk60UUAbG4umUuXkj5vHulzfiJj4UJwuwlJaUadG64nrOu5dN0ZwtJZa5xP9OYJDw7UlfxOgTGGarfeQnBSPbb9835ytm6lzssvERAZeeIHi4iUU0pMiYicrD1rqDtzJK6dC6DlldBjrHeZz/bfnI5MiSkp1/xy2VBkNej3Pvz2Jky/H9b/CH3HQ61WzsUkFdKJLgLwvwtqEbroN9LnzSPjl/l4Dh7EFRFBeIcO1PzXA0Seey5BNWseftzQrFym/rndZ4lecUbMJZfgrlaDNUOGs/D8y+n2+XtEVdcFTkSkYlJiSkTkRHKzYe5zuGY/QVBoPO7rJhHQ6PzDu/ObnzvZByIuNI69h/Y6dn6RkvLLZUPGQPsbIakzTLoR3jjfu9Sv7fXefSIFFKzUW/xQfaLCAk7wCK/8xwDehuV5c8vtgQ07Unn1vo+5Zv2PhJ92GlUHDyLizDMJa9kSE1j0/xG/TPRKsbibt2JYt7tJPLiDRfc8z+1jb6ZKwt9JyBNV2ImIlBd65RIROZ5N82Hq7bBrBfbMW1hX+3KSG7R0OqqjxIfFs2rfKqfDEKmYqjWGG7+B6f/0vh5smAsXPQ0hWlojxZe7bx9ZK1bSe82P1D+wja/rteevuPpHHOMOCGByw8489MHjuCIijjHS0fwy0SsnpXAF3b6wGPaFxbDE4+bbx7/ho1s6E1OvzjEr7D4c3pFqUaFOhS8iUiz6LSUiUpTMVPhuDPz6BtRuA8NmYas3x67yz+RPXFicmp+LlKagULj4aah3Fnx+G2z9A66aCNWbOR2Z+ImC1SuvzV7Lja2rEZZxkNxdu8jZvJmcLZvJ3ryZnM1byN60Efcu7/Lrm4KDCU5OJr2qYRUWd4F+hYEuww0XtT2lpJSUb0dU0BXgdgWwJTiGJ+99kdl12rA7vMqR+z2wdnc67cd+p55eIlLuKDElIlLYiq/gi1GQeQAueBQ6DPNedtvtPu7DnGx+Hhcax/6s/eR4cghyBTkWh0iF1/IKqNkKPr4eXj/PWznV8iqnoxKHHNUfynrAuHjpu1V8NnUez85+nvDcLAACq1UjqE4dgurUIfyMDoQ2akRIkyYE16uHCQzk9qxcvnthjt/0hlLTcv/jCQhgZWxdHv1pHCPOu4vcgBP/vi/xxSBERMqAXplERPJl7IWvR8OfH0Jyd7j4GahS94QPs9aWQXDHFxcWB8DeQ3upEVHD4WhEKrhqjWHId/Dl3fDZTZj1czDJQ52OSoqpJB/cj6puMS7Am0DYFFmNEV1H8eOdnQmqXQtX6PGXV/myN5SSSuXXsjE9AW/PqBdnrjrq6ornXngm9VZ9yoBdv/N2rTNw2yP3O3X1RRGRknA5HYCIiF9Y/gW8dAas/Br6jIPrPj6ppFRBTlZMxYd5r9SzO1NX5hMpE8Hh0Ocl6P0SZskk6n07BPZtcDoq8SfGxc6IOEIa1D9hUipf4d5QamRd+YQHBxIeHMjQLg2oV/XvJZz5FXTDL25LvbfepPfqH0jI3O9tmI/zFXYiIiWhxJSIVG7pe+CTG+DD6yChHdz8C7TuV+6uuJWfmNpzSH2mRMpUm/54bvgGV04GrvHdYO1spyOSMrRsTE+WjenJ7d0aEVDoXXWgy3BHt0bOBCblXmRIIJ/f2ol/9GjMuY2rccf5jZhySyciQwIJadiQpq+/wnPzXqHnhl8wHg8juyYf3i8iUt7olUtEKq+ln8G0u8C64fLXoeWVxUpIWZxfyhcbGgsoMSXiiBoprO/xFo0W/R+8cxn0eAQ6jih3CW45dfnL/oZ2acDURVtL3B9KS/CkoMiQQG45r+jkZmizZtR7/lluHjSY03av4fr/TDyi4k5EpDyp9BVTxpjJxph9xphPTmWfiJRjGXvh48He5sWJHb1VUq2uKvmHSAc/gwa5gogNiWX3IS3lk/Ip/wP5+scuKpfNeT0hMXj6fQRn3gzT74PPRkDOIafDkjKS3x8q34hzG6h6RUpdaOvWPNGuH103L+TASy86HY6ISLFV+sQU8DwwsBj7RKQ8WvUNvHwmrPke+o6Hq/8HUSVrFu4PFVPgbYC+J1MVUyKOcQV6q6UufwOWToa3esGBzU5HJWWkYLXKsM71lZSSMjEn4TTGN7+IA6+9xv5Jnx61Pz0r9/D3r85eS1qB+yIi/qLSJ6astTOBg6e6T0TKmex0+OJOePcKqNEcbp7nvey7D5faONn8HLyJKVVMifiBVlfCDdMhfTe8di5smOd0RCJSgX2SfC6RV1zBtoceIn3uXDKyc8nIzmXXwUyuHPf368+LM1dx6Qtz2HUw08FoRUSO5teJKWNMF2PMVGPMVmOMNcb0KeKYm40x64wxmcaYBcaYzg6EKiL+bNN8GNcJFn0AFz0F/SdBdG2no/K5+LB49ZgS8Re1W8OwWRDfBCZeAgvfdToiEamojKHqP+8nomNHNt9xJ93uepeUB6fTfux3rN+TcfgwtwfW7k6n/djvHAxWRORo/l5jHAEsAt4CJhXeaYy5GngWuBn4CRgOfGWMSbHWbsw7ZgEQUsTYPay1W30VqDEmpNB5ogDcbjdut9tXpxEHuN1uPB6Pfo7lkTsbM/txzNxnoXYbPNd8CHENweMp3nDHmAv5952eJ1VDqrJ091LN1TKi1wb/VfBn4v09XLrVjMecC6GxcN0kzNf34JpyM57dq7Fd/wnGr/8uWOn4ar6EBBhWjunO6tWrCQkwem2QUv89ERJgWDP2gsP3az7xOBuvupoHfpnIqC63khUYfNzYpOz4ei7o5ycVjV8npqy1XwFfAZiil9uMAsZba9/Iu3+HMaYnMAK4L2+MdmUQKnnne6jwxjVr1hAZGVlGIUhp8Hg87N27l9WrV+Ny6cNEeRGcuoHa8/5FyP7V7G4xjD3NBsBeD+xdVewxjzUXthzYAsD69evJCMk41sNLnU2z7EzfyapVxX+OcvL02uC/9mX83UPlsc8W0LdFFcKDSu9ndMK50GgEVT3RVPvpGdI2/cm2Dv/CBoaWWjxyanw5X/S6IAU5MR/sXXdR/957mbT/K94/73reX7wfT4FWmAEG+rWK1XuFMubruZCWluaDqET8h18npo7HGBMMtAMeK7RrBnBW2UfEo8DTBe5HAZsbNmxIdHS0A+GIr7jdblavXk1ycjIBAQFOhyMnYi3mj/9hvrkPomrjufEbqtZqTVUfDH2subB72274C5KSkkiITPDBmYqnSUATMjZlkNggkZCAogpFxZf02uBfMrK9yYX0rFyGvz7/8PYPFu9j7pYs3h/SgWpRpZMMOqm50PjfeBq1J2rycKLm3YXn6ncholqpxCMnVlrzRa8LUpAj86FRI1Jz/sP2u+9h2FmdmBtXl3W7vX80C3QZ6sWFc3fvdmrOX8Z8PRdSU1N9EJWI/yjPr0jxQACwo9D2HUDNkx3EGDMdaAtEGGM2A5dZa3890b7CrLVZQFaBcQEICAjQG5MKwOVy6WdZHhzaD1/c4b0aVpsBcMFjBIT4tmKxqLmQ/5evwIBAR+dI9fDqAOzP3k/tyIrXQ8sf6bXBf7T899dFbnd7YN3uDDo+Nov1j11Uauc/qbnQvDdUqQPv9yPgzR5w7UdQvWmpxSTHVprzRa8LUpAT8yH2kkvIXrKUvU89ztuvvE7nL72JqZFdkxnapYGSUg7x5VzQ64tUNBWhxrjwddpNEduO/WBre1prq1lrw621dQomno63T0T8zMafvQ3OV38PV7wFvV8EHyeljumkX3FKV1xYHIAaoIv4s4R2MOQ7CI6E8T1gzUynIxKRCqj6P+4ivG1bDt1/LzFZ3mVfw89RUkpE/FN5TkztBtwcXR1VnaOrqMqMMWakMWYZMP+EB4tIyblzYdZj8FYviE6AEXOgxeWOhGIo3QbLJ5KfmNp9aLejcYg4YdmYniwb05PbuzUioNC7m0CX4Y5ujZwJrChV6sINX0Pd9vDuFbpinwPK1XwRKQYTFETtJ5/E5uRwx8KPwPrJX9FERIpQbhNT1tpsYAHQvdCu7sDcso/Iy1r7krU2BejgVAwilcb+TTDxYpj9X+hyDwyaBlUSnY7KMbEhsbiMiz2ZqpiSyic8OJDw4ECGdmlAvaoRh7fn91QZ0qWBg9EVITQa+n0IbfrDlJthzjP64FiGyt18ESmGoBrViRvzHzpuX8Yl635yOhwRkWPy68SUMSbSGNPaGNM6b1P9vPv5nzyfBoYYY24wxjQzxjwDJALjnIhXRMrQ0s9g3Nne5NSgadD1Pghwpjzd+slavgBXALEhsaqYkkotMiSQD4d3PHx/ZNdkptzSyT+XrwQEwsXPwjmj4duH4ev7wONxOqpKpVzNF5FiCD/3XD6vfzZDlnxB9soVTocjIlIkf/+tezpQsPlC/lXvJgKDrLUfGmPigAeBWsAS4EJr7YayDVNEykxOJnw9Gha8BSm94ZLnICzW6aiAvy964KT4sHj1mJJKL6JAUmH4OQ0ID/bjtzvGeBPrkdVh2l2Qvgv6vAKBwU5HVmmUq/kiUgxvtLiYlnvWEnHPPURP+gRXWJjTIYmIHMGvK6astbOstaaI26ACx7xsrU2y1oZYa9tZa39wMGT1mBIpTXvXwvjz4Y/3vFUGV070i6SUv1RMgbfPlJbyiZRD7W+EqybC8s/hvSsh66DTEYlIBZETEMRjp19H7tat7Hj8cafDERE5il8npsoj9ZgSKSXLPodXz4HsdBjyLZw+2FtpIEeID4vXUj6R8iqlNwyYDFt+hwkXQdpOpyMSkQpiY3RNYkfdxf73PyB9rmPteEVEiqTElIj4t9xs+Go0fDQAGnaFYbOhViuno/JbcaFxWsonUp4ldYLBX8LB7TC+h7dSVETEByKvuorwM85g2wP/wp2W7nQ4IiKH+SQxZYwJMsbUNcY0McZU9cWYIiLs3wRv9YJf34Bej3uX7oVGOx3VUWzelbQMzldwxYXFqWJKpLyr2RJunAHGBW/2gp1/OR2RiJRT4cGBrH/sItY/dhERocHUGvsIufv3s/OJJ5wOTUTksGInpvKumDfcGDMLOACsB5YBu4wxG4wxrxtj2vsmzPJDPaZEfGTldHi1s3cpyw3T4YzhWrp3EuLD4snIzSAjJ8PpUESkJGKT4IavITwOJlwIW/9wOiIRqQCC69Shxt3/YP+HH2pJn4j4jWIlpowxd+JNRA0FvgcuB1oDTYAzgX/jveLfN8aYr40xjXwRbHmgHlMiJeTO9V42/b2roO4ZMHw21GnndFTH5W/NzwE1QBepCCKrw6AvoEo9mHgpbNLfvESk5KpcfTXhZ5zB1gce0JI+EfELxa2YOgvoaq093Vo7xlr7tbV2sbV2tbV2vrX2TWvtYKAG8Dlwjs8iFpGK6+AOePtS+Ol56D4GrnkfwsvP6mDjBxVd8aHxAOozJVJRhFeFgVOgRnN4uw+sc/TiwyJSARiXi1pjH8G9/wA7n3rS6XBERIqXmLLWXmmtXXwSx2VZa1+21r5RnPOISCWyaT682gX2rPFWCJx9O7h0fYZTdbhiSokpkYojNBr6T4LEM+DdK2HlDKcjEpFyLrhOHarfeSf7P/iQQ3/84XQ4IlLJ+exTnzHGv9faiIh/shZ+exPeutDbU2X4bKh3ltNRFYs/ND+PCYkh0ASqAbpIRRMcDv0+gIbd4INrYdkUpyMSkXIu9tp+hKaksOWhh2lwz+ckjZ5GRnau02GJSCXky3KEyT4cS0Qqg5xM+PxW+OJOaDcIrp8KUTWdjqpccxkXVUOrqseUSEUUGAJXTYSU3vDxIFj0gdMRiUg5ZgICqPnwwxxYu4EmezcC8OrstaRlKTklImUr8FQONsZ8dKxdQPlpBFOKjDEjgZH4NuknUvEc2AwfDoAdS6H3y9DmOqcjKjZr/af5OXiX86liSqSCCgiCy1+DoDCYfBNYD7S+1umoRKScya+MSk9K5s6L7mezOxiAF2euYuqirXw4vCPVokKdDFFEKpFTSkwB5wMDgLRC2w3QxScRlXPW2peAl4wx0cABp+MR8Uvr58BH10NgqPdy6AltnY7IJ/yh+TlAfFi8ekyJVGSuALjkeTAGPrsZMNC6n9NRiUg5kvLg9L/v2FAI8L6HcXtg7e502o/9jvWPXeRQdCJS2ZxqYmoWkGatnV14hzFmoU8iEpGKy1r4ZRxMv9/bR+rKCRAR73RUJWbxv4qptQfWOh2GiJQmlwsufs77uvrZCDAuOO1qp6MSkfLIT/6wJiKV1yklpqy1lx9n3wUlD0dEKqzsDJh6Oyz+CM68Bc7/NwScam5cTkZ8WDy/bv/V6TBEpLS5XN7KKSx8dpP3w2Wrq5yOqtwJDw5UZYhUOsvG9AS8PaVenLkKt+fvfYEuwy1dkx2KTEQqI30qFJHSt3+T9ypSu1dB3/HQ8gqnI6rQ4kLj2HNoD9Zav1leKCKlxOWCS14AC0weDhhodaXTUYmInwsP9n4MHNqlAVMXbWXt7nQAAty51AmyDOnSwMnwRKSSKVGDbmOMLp8lIse3aT68fh4c2g9DvqmQSan85ucG/0gCxYfFk+nOJD0n3elQRKQsuFxw6QtwWj+YPAwWf+J0RCJSTkSGBPLh8I6H798QvJ1npj9O6MH9zgUlIpVOSSumZgCtfBFIRaGr8okU8Mf7MPU2SGgHV/+vQvSTKg/iwuIA2JO5h8jgSIejEZEykZ+csh74dKh3WwX8Q4CI+F61qNDDy1lz9+1jzTdvsuu556n1nzEORyYilUVJkyf+UR7gR6y1L1lrU4AOTsci4hiPG7550NvzpNVVMPDzCp2U8sfm5wC7D+12OBIRKVOuAOj9ErS8ypucWjbF6YhEpJwJjI2l2i0j2f/JJ2QuX+50OCJSSZQ0MeVfn8ZExHmZqd5+UnNfgJ6PwqUvQmCw01GVCX/p5xQf5k0C7jm0x+FIRKTMuQKgz8uQ0gc+uRFWf+t0RCJSzsT260dwUhI7Hn3scLsCEZHSpOVmIuI7e9fB+B6wYS5c+zGcebMuQeyAqKAoglxBqpgSqaxcAXD5a5DcDT7o731NFhE5SSYoiBqj7yVj/nwOfvON0+GISCWgxJSI+Mb6Od4m5+4sGPItNDrf6YjKTP5SPn9pfm6MIS4sjr2Ze50ORUScEhAEV06Euu3h3atgy+9ORyQi5UjkOecQcfbZ7Hr6GWxurtPhiEgFV9LEVLZPohCR8m3BBHi7N9RsAUO+g2pNnI6o0gtyBZHr0RtJkUotKBSueR+qN4X/XQ47ljkdkYiUI9XvGkX2+vXs//RTp0MRkQquRIkpa+3pvgpERMohjxu+vg+m3g7tBkH/TyG8qtNRlT0/bb/gb03ZRcQBIZFw3ccQXQfe6QN71jgdkYiUE6EpKURfeCG7X3wJT2am0+GISAVW4qV8xpgwY0x4gfv1jDF3GGN6lHRsEfFj2enwYX/4ZRxc+CRc9JR36Ugl5i9L+cC/YhERh4XFwoDJEBINb/eBA5udjkhEyolqt99G7t697Hv3XadDEZEKzBc9pqYAAwGMMVWAX4C7gCnGmBE+GL9cMcaMNMYsA+Y7HYtIqTm4Hd66ENb9AP0+hA5DnY5IRESOJ7IaDPzM+/3bvSFtp6PhiEj5EFyvHlWuvILdr72OOzXV6XBEpILyRWKqLfBj3vdXADuAeniTVbf5YPxyxVr7krU2BejgdCwipWLHUni9m/dDzeCvoLGKIw83P/ezKxBqKZ+IHCGmDlw/BbLS4K9pTkcjIuVE/IgR2Oxs9rwx3ulQRKSCCvTBGOHAwbzvewCfWms9xpif8SaoRKSiWP0dfHQ9xCbBtR9CTILTEckx+FuSTET8RNUGcPO8ytkPUESKJah6daoOHMjeiROJ7X8dQdWrOx2SnKQFCxZEAbXwTUGKyMnyANvatWt38IRH5vFFYmo10McYMxnoCTyTt706oHpPkYpiwQT4YhQkd4Mr3oSQKKcj8ht+W5nkp2GJiMOUlBKRUxR34w3s++AD9owbR80HH3Q6HDmBBQsWuIB/BgQEDDTGBIGaj0qZstbanAULFrwN/F+7du08J3qALxJTY4D38CakvrPWzsvb3gNY6IPxRcRJHg9892/46VloPwQu+C8E+OKlQ0qTmp+LiIiIrwRERxM3eDC7X3qJuGHDCKpZ0+mQ5Pj+GRQUNKJmzZrZERERGcYY/blSyoy11qSnp4dv3759RE5ODsAjJ3pMiT9dWms/McbMwVsiuKjAru+AySUdX0QclHMIJg+HZZ9Dz/+DjjeDlogdxVr//F3vt5VcIiIiUu7E9r+OvW+9xZ7X36Dmvx5wOhw5hgULFkQHBAQMrFmzZnb16tX3OB2PVE4RERGHgLitW7cOXLBgwXMnWtbnk7Wm1trt1tqF1lpPgW3zrbV/+WJ8EXFA+m6YeAmsnAFX/w/OHKmk1Amor5OIiIhUVAGRkVQdPIj9H39Mzo4dTocjx1bTGBMUERGR4XQgUrnlVesF4S1iOi41QRORo+1dB+N7wL71MHgaNLvY6YhERERExGGx/ftjwsLY8/obTocix+YCjJbvidPy5qDhJPJOSkyJyJG2LoTx3b3f3/gNJLRzNp5yIH/JnL/1dfLXJYYiIiJSPgVERlL1+oHs/+gjcnbsdDocKWVpmTmupNHT2iWNntYuLTNHuQMpNZpcIvK31d/BhIuhSiLcOAOq1nc6IikmLSsUERGR0lB1wABMaCh7xqtqSvyPMabdO++8U8XpOHzpRM9pxYoVwcaYdnPnzg0ryXk6dOjQ5IYbbqhbkjGKS4kpHzPGjDTGLAPmOx2LyClZ9AG8dxXUOxuunwoR8U5HVG74a5Nxf41LpLSFBwey/rGLWP/YRYQH6yqiIiK+FBAV5a2a+vAjcnaqakp8p2/fvknGmHbXXnttYuF9/fv3TzTGtOvbt2+Sr8/boUOHJsaYdgVvF198cYOCx+zatSugT58+9aOiolpHRUW17tOnT/3du3cHFDxm8ODBdZs3b94sODi4bdOmTVN8HWdFpsSUj1lrX7LWpgAdnI5F5KRYC3Oe8V5977Rr4Jr3IDjC6ajKJX9ayudPsYiIiEjFUnXAAExwMHvffMvpUKSCqVmzZvbUqVOrpqWlHX4zm5GRYT7//POqtWrVyj7W4zIzM0v05veaa67ZvWHDhkX5t4kTJ24ouL9v374Nli1bFjZ58uRVkydPXrVs2bKwq6666ojlJdZa+vfvv/uiiy7aW5JYKiMlpkQqM48bvroHvn0YzrkXLn0RAlRdUFGoYkpERERKQ0B0NLHXXsv+jz7CfeCA0+FIKUkt0FfqmW9W1jhwqPT7TDVv3jyjVq1a2e+8805s/ra33347tmbNmtkpKSmHrzTYoUOHJgMHDkwcMmRIndjY2NM6d+7cuKjx/vGPf9SKi4s77UTL3MLCwjyJiYm5+be4uDh3/r7ff/899Mcff4weN27chvPPPz/9/PPPT3/llVc2zJw5M2bRokUh+cdNmDBh03333berfv36x0ygFeW9996Lad68ebOQkJC2derUaXnXXXfVysnJOeKYrVu3BnXp0qVRaGho24SEhJZvvvlm7DGGK9L27dsDLrnkkvo1atRoFRYW1qZx48Ypr776atXCx+Xm5pqBAwcmRkVFta5SpUrr2267rbbH4zm8/7HHHqtWr169FiEhIW3j4uJOu+CCCxoUHqM4lJgSqaxyMuGTwfDrG3DxM9D1n6C+RMWTl//xp75OqpgSERGR0lR1QH+s282+9993OhTxgbTMHFfB29b9GYFXjJvXNH//W3PX17rouR+bbd2fEZh/TGnFct111+1+5513DvcVefvtt+P79++/u/BxkyZNigsMDGTWrFl/vfbaa0dUOHk8HgYPHlz3vffei581a9ZfZ5111qHjnXPy5MlVY2NjT0tOTm4+bNiwOvv27Tv8/H744YeIyMhI93nnnZeev61bt27pkZGR7lmzZkWW5LlOmjQpevjw4fVvuummnQsXLlzywgsvbPjggw/iR48eXavgcY899ljtPn367Js/f/7SK664Ys+wYcMa/P7776Ene55Dhw652rRpkzF58uRVCxYsWHr99dfvHjlyZP3vv//+iKUyef+mds6cOcsfffTRja+//nqNZ555Jj7v3yH8gQceSPznP/+5dfHixUs+//zzlZ06dUoryfPPp9IIkcro0D744DrYsgCu/h80vcjpiKQU6Kp8IiIiUloC4+OJufwy9r79DlUHDcIVetKfkcUPtXh4Rpvj7fdYzOb9h0LPemzmafnb1j920YLSiGXYsGF7/+///q9OXlNvfv/998hJkyat/eGHH6IKHpeYmJg1bty4zYUfn5ubay6//PL6f/75Z/iPP/74V8OGDXMKH1PQ1Vdfvadhw4ZZCQkJOQsXLgz797//XWfJkiVhc+fOXQWwffv2oLi4uNzCj4uLi8vdvn17UEme66OPPlrrlltu2X7rrbfuAUhJScnetm3blocffrjOU089tS3/uAsvvHDfqFGjdgM899xzW2fNmhX99NNPV//f//638WTOU79+/ZwxY8bsyL+fkpKy85tvvon+4IMPYgsm3GrWrJn9xhtvbHK5XJx22mlZixcvDnv55Zdr3HXXXbvXrVsXHBYW5r7qqqv2x8bGeho3bszZZ5993ITfyTrlxJQxJgyoaq3dUmh7c2vtUl8EJSKlKHUr/K8vHNwGAz+HxDOcjqjcy18y509VSv5UvSUiIiIVU9wNN7D/w484MHkysf36OR2OVBC1atXKPffccw+89tprcdZac+655+6vVavWUYmh0047Lb2ox9933311g4ODPb/88stfBR83evToms8///zhSqRFixYtbdSoUfZdd911uBqrffv2mc2aNcvq0qVLszlz5oR36tQpo/D4+ay1p/SeOzw8/HDyr0+fPnvee++9jUuXLg1fsmRJxHPPPXc4Lo/HY7KysszBgwddUVFRHoAzzzzziOd6+umnpy9ZsqTI5YnJycnNt27dGpx3XNoPP/ywKjc3l/vvv7/m5MmTq+7cuTM4OzvbZGdnm/DwcE/Bx7Zt2zbd5fq7GO6ss85Kf+2112rk5uZy6aWXpo4dOza7QYMGLc8555zUnj17Hujfv//+/BhL4pQSU8aYK4BngL3G+xMYaq39JW/3O0DbkgYkIqVozxp4pw94PHDDDKhW5FJsEREREZETCq5bl+gLerLnzbeocuWVmEAtyCmvljzcY2HB+898s7LGW3PX1/LYv//yGuDCDjozadud3RvvOHoE3xo8ePDuu+66KxHg6aefLrIqqHBSJV/nzp1Tp06dWvWzzz6LHjFixOFG5Hfeeeeu/v3778u/n5SUVGQvqLPPPjsjMDDQLl++PKRTp04ZNWvWzNmzZ89Rk3vv3r2BNWrUOG41VkHz589flv99bGysG8Baa/7xj39sueaaa/af7PPLd6yk2JdffrkqOzvbAERERHgAHn744RqvvfZajbFjx25q06bNoaioKM+tt95aN/+4kxEbG+tZunTpsmnTpkV9/fXXMf/3f/9X+7HHHqu9YMGC5fHx8e4Tj3Bsp/rK8QDQ1lq7yxhzOjDRGDPWWvse+FGpgIgcbftieOdyCI2BQZOhSl2nI6owtGROREREKqu4IUNYd3lfDs6YQfSFFzodjhRTZGjQEUmQ285vvGP60h1VN+8/FArepFTtmLCs285vvKPwsaXhiiuuOHDbbbcZgL59+55Sh/1LL710/yWXXLJ/2LBhDQICAuywYcP2AdSoUcNdo0aNEyZQFixYEJqbm2vq1KmTA9ClS5f0tLS0gJkzZ4Z37do1A+D777+PSEtLCzj33HNPusdSixYtsgpvS0lJyVi5cmVoUfsK+vnnnyNuueWWPQVijGjRokWR1VyNGzc+KuE2d+7cqO7du++/+eab9wK43W7WrVsXmpycfMRSvN9///2InlPz5s2LqFevXlZgXtI5KCiIPn36HOzTp8/B1NTUrVWrVm09bdq0qOuvv37/8eI/kVNNTAVZa3cBWGt/M8Z0AT41xiSDLv8k4rc2zIX3roG4BnDdJxARf+LHiIiIiIicQGhKChFnncXu198gqlcvtROoIGLCgjwf3dRxRX5PqUFnJm277fzGO2LCSj8pBRAYGMhff/21JP/7UzVw4MD9brd73YgRI+oHBQUxePDgfUUdt3Tp0pC33nqr6qWXXnqgRo0auX/88UfYfffdV6dZs2YZ3bt3TwNo27ZtZufOnVNvuummpJdffnkDwIgRI+p17dr1wGmnnXY4obRkyZKQ1NRU1/bt2wMzMzNd+VcCbNu2bWZoaGiR+ZL7779/69VXX508atSonGuvvXavy+ViwYIFYYsXLw57/vnnt+YfN23atNhnn302/bzzzkt766234hYvXhwxfvz49Sf771G/fv2sL7/8sso333wTERcX53788cdr7NmzJzA5OfmI47Zv3x48ZMiQOrfeeuuun3/+OeKtt96q/u9//3sTwPvvvx+zZs2akPPOO+9gfHy8e/LkyTHWWtO8efPMk43jWE71J7zTGNPKWvsngLV2jzGmOzARaFXSYESkFKycDh8NhDrtod/7EBJ14sdIhWD19wIREREpA3FDh7Bx8A2k/zSXyE5nOx2O+Eh0gcqoO7uXTaVUQVWrVi3R+QYPHrzP7XYzYsSI+i6XyxZV1RMSEuKZPXt29BtvvFEjIyPDVbNmzexu3bodeOyxx7YWTIh9/PHHa4cNG5bYu3fvxgDdunXbP378+COWGN5www1Jv/766+Gr9J199tkpAH/99dfiJk2aFLlssG/fvqkffvjh6rFjx9Z+5ZVXagQGBtr69etnXn/99UdchfDee+/d+vHHH1e9995768XHx+e88sora9u1a3fSCaH/+7//27phw4bgPn36NA4NDfX0799/V/fu3fenpqYGFDzu8ssv33Po0CFXp06dmrlcLgYPHrwzvwdX1apV3c8880zsE088UTs7O9skJiZmvfrqq2tPP/30Mk9MDQCOaDpmrc0G+hljXixpMCLiY39+BJ+NgMYXQN/xEKSrpZSGw83P/egvhP4Ui4iIiFRs4R07EpqSwt6JE5WYkmKbNGnS+uPt//bbb9fkfz9//vwVRR1jrT3iSoFDhgzZN2TIkCKrpQCSk5Nzfv311yLHKqhGjRruKVOmrDveMceK6UT69u2b2rdv39Rj7c9/TqNHj95V1P4mTZpkF37ehdWoUcNd8N+vKIXiP6qvV8+ePdN69uxZrOd4IqeUmLLWHnEpRmNMTWvt9rx9P/kyMBEpoV9eg6/uhtb94ZLnIEDNKCsb9b4SERGRsmCMoer1A9l672iy1qwhpGFDp0MSH4gMDfKsf+yi4yY8RHzBdeJDjmuGT6IQEd+xFmY95k1KnXkL9H5RSalS5o9L5oyuRyEiIiJlKKpXLwKqxbP3nXecDkVEypmSJqb0yUfEn3g88NU9MOtR6PYQ9HgEtKSrzCgZJCIiIpWVKziY2H79OPDZFNz79zsdjoiUIyVNTPlfmYDDjDEjjTHLgPlOxyKVjDvX209q/utw8bPQeZSSUpWcP1ZyiYiISMUVe/XV4PGw7+OPnQ5FRMqRkiampBBr7UvW2hSgg9OxSCWSmw2fDIIln8AV4+H0wU5HVKnk93Lyp4bjqt4SERGRshYYF0f0JRez7933sDk5TocjIuWEElMi5V3OIfjgWlg5A65+F1r0dToi8RNqfi4iIiJlrerAgeRu387Bb791OhQRKSdKmpjK9kkUIlI8WQfh3Sthw09w7YfQ5AKnI6rU/KlKyZ+qt0RERKTyCG3ShPAzzmDvxLedDkVEyokSJaastaf7KhAROUWH9sM7l8G2RdD/U2jY1emIxM+ox5SIiIg4oer1Azn0xx8cWrTI6VBEpBzQUj6R8ih9N0y8GPashoFToN6ZTkckfsafqrdERESkcok85xyC6tZl33vvOR2KiJQDPklMGWNCjTEdjDEXG2MuLXjzxfgiUkDqNphwERzcAYOmQUJbpyOq9PIrk5QMEhEREQETEEDs1VeR+tXX5O7b53Q4In4lISGh5ZgxY6qXZIyFCxeGnnbaaU1DQkLaNm3aNGXFihXBxph2c+fODfNVnGWpxIkpY8wFwEbgZ+Bz4LMCt8klHV9ECti/Ed7q5e0tNfgrqNHc6YhERERERI4Sc/nlYC0HPtVHQhFfe+CBB2qHh4d7Fi9evGTWrFkrGjZsmL1hw4ZF7du3PwTwxRdfRBlj2u3evTvA6VhPhi8qpl4EPgZqWWtdhW7l4h9BpFzYswbe7AVYb1IqPtnpiCTP4avfqWBKREREBIDAqlWJuuAC9n34IdbjcTockQplw4YNIR07dkxr3Lhxds2aNd2BgYEkJibmBgUFOR1asfgiMVUdeNpau8MHY4lIUXYuhzcvgOAIGPw1xNZzOiIpBw4nzEREREQcENuvHzkbN5I+d57ToUg58NZbb8U2btw4JTQ0tG2VKlVan3XWWY1TU1NdX331VWRgYGDbjRs3BhY8fujQoXVOP/30JgDPP/98XFRUVOtJkyZFN2jQoHl4eHibzp07N9qwYcMRmZpnn302Ljk5uXlwcHDbatWqtRo4cGDiycaXX4X0wQcfxDRp0iQlJCSkbatWrZrOnz//iOVzEyZMqJJ/joSEhJYPPfRQjWONeeWVVyZ17dr1iIqDnJwc4uPjT3v22WfjinqMMabd0qVLw5999tlaxph2o0aNql1wKd+KFSuCL7nkksYA1apVa22Made3b9+kk32eTgg88SEn9AlwLrDGB2OJSGE7lsLESyGqprfReUS80xFJIf549TtjVL4lIiIizgpr05qQJk3Y98H7RHY62+lwKresNBc7FoeW6TlrtMwkJPKkyuU2bNgQNHTo0Pr/+te/Nl9zzTX7Dxw4EPD9999HWmvp1atXWp06dbJff/31uP/85z87wJu8+fTTT+MefPDBzfljZGZmup566qkaEyZMWOdyubj++uvr33rrrXU+//zzdQD//e9/qz300EN177///s29e/c+sG/fvoDZs2dHnurTuv/+++s8+eSTmxISEnJGjx6dcNlllyWvXbt2SUhIiP3xxx/Db7zxxoajRo3aOmDAgL2zZs2KvPfeexPj4uJyb7vttj2Fxxo2bNiuXr16Nd2wYUNQvXr1cgA++uijmIyMDNfgwYOLbNC2YcOGRd26dWvStWvXAw888MD2mJgYz/bt2w/ndho2bJg9YcKENYMGDWq4aNGiJVWqVHFHRET43weWAnyRmLoF+NgY0xlYDOQU3Gmtfd4H5xCpnLYv9ialYhJg4OcQXtXpiOQ4/K35uT8mzERERKTyMMYQ2+8ato/5DznbthFUq5bTIVVeOxaH8uYFzcr0nDd8vZzEMzNO5tBNmzYFud1u069fv/2NGzfOBujQocOh/P39+/ff9d5778XnJ6Y+/PDDKpmZmUckb3Jzc83rr7++sXnz5lkAQ4cO3fnkk0/Wzt//1FNP1Ro2bNj2f/3rXzvzt51zzjknFV9Bo0eP3nrZZZelArz//vvrkpKSWr3zzjtVhgwZsu+JJ56o0bFjx9QnnnhiG0CrVq2yli1bFvb888/XLCox1b179/SkpKTM119/veojjzyyA2DChAnxF1544b6YmJgik3qJiYm5AQEBNjIy0pOYmJgLsH379sP7AwMDiYuLcwPUrl07Nz4+3n2qz7Gs+SIxdS3QEziEt3Kq4CchCygxJVIcW/+Ad/pAlXowYLKSUnJK/C1JJiIiIpVT9MWXsPPxJ9j/8cdUu+02p8OpvGq0zOSGr5eX+TlPUseOHTPOPPPMg23btm3euXPnA+eff37qwIED91WrVs0NMGLEiD3//e9/E7777ruIbt26pb/11ltxF1100d7o6OjDyZvQ0FBPflIKoHbt2jl79+4NBNiyZUvgrl27grp3736wpE/r3HPPTT/8FGvUcCclJWUtX748FGD16tWhvXr12l/w+E6dOqWNHz++em5uLoGBR6dgBgwYsGvixInVHnnkkR1btmwJnDVrVszUqVNXAlx77bWJn3322eElfRkZGQtLGr8/8kVi6hHgQeAxa6262on4wpbfvUmpuGTo/ymEVXE6IjmO/F5O/pYMUsWUiIiIOC0gMoLo3pey/+NPiB8xAlNOmzOXeyGRnpOtXnJCYGAgc+bMWfntt99GfPXVVzGvvvpq9bFjxybMnTt3edOmTbMTEhJyzzvvvAPjx4+Pb9q0adbs2bNjvvzyyxWFxjjiza8x5vD79PDw8FLNVeS30bDWmsItNU7U93X48OF7xo4dW+fbb7+NmDNnTmRCQkL2BRdckAbwxBNPbP3nP/9Z4ft5+6L5eTDwoZJSIj6y+Td4uw/EN/ZWSikpJcXgb0kyERERqbxir+lH7q5dHPzue6dDET/mcrno0aNH+jPPPLN12bJly4KCguwHH3wQm7//xhtv3DV16tTYZ599tlrdunWzevTokX688QqKjY311K5dO/ubb76JKmmcs2fPjsj/fteuXQHr168Padq0aSZAo0aNDs2bN++IvlU//fRTZFJSUlZR1VIANWvWdHfv3n3/+PHj49977724fv367c7fl5CQkNuiRYus/NvJxhgSEuIByM3NPcVn5wxfJKYmAlf7YBwR2fiLNylVvZm3Uio0xumIRERERERKJLRJY8Jat2b/pElOhyJ+6vvvv48YPXp0zR9++CF81apVwW+//Xbsvn37AlNSUg73merbt29qZGSk+7nnnqt17bXXHtWv6URGjx699bXXXqv5yCOPVF+8eHHInDlzwseOHVv9VMf573//W3vKlClRv/76a+g111yTFBsbm9u/f//9APfcc8+On3/+Ofruu++u9eeff4a88MILcRMnTqx26623bj/emEOGDNk9adKkuLVr14YNHz78lJ9bYcnJydnGGD7++OMqW7duDTxw4IAvcj+lxhdL+QKAe4wxPYE/Obr5+SgfnEOk4tswD969AmqdBtd+BCGnfIEIcZi/XQnvRGXDIiIiImUlpu/lbH/wITVBlyJVqVLF/dNPP0W99tprNdLT0wNq1aqV/fDDD2+66qqrUvOPCQgI4Oqrr97z4osv1ho2bNgpJ29uvfXWPZmZmebll1+u8e9//7tObGxs7oUXXni4eXrfvn2TNm3aFDJ//vwVxxtnzJgxm//xj38kbtiwIaRJkyaHJk2atDo0NNQCdOrUKWP8+PFrHnnkkYRnn322VrVq1XLuvvvurUU1Pi+od+/eqdWqVctp1KjRoaSkpJzjHXsy6tevn3PXXXdtHTNmTMLtt9+edNlll+2ZNGnS+pKOW1p8kZhqCeQ34GpRaJ8+FYmcjPU/wbtXQkJbuPZDCI448WNEjsPfkmQiIiJSuUX3upAdjz7G/smTqXbzzU6HI36mbdu2mT/++OOqEx23ffv2oC5duhyoV6/eEcmb2267bU/h5M+AAQP2DxgwYEHBbXfffffuu+++ezdF2LRpU0inTp1O2By9e/fuaf369Vt6rP2DBg3aP2jQoP3H2r9ly5bFhbelp6e7UlNTAwYPHlxkbIX99ddfywreb9KkSba19ojn+sQTT2zLvzqgvytxYspa29UXgYhUNLsOZtJ+7HcA3N6tEUO7NCAypIj/cut+gPeuhrod4Jr3ITi8jCOVkspvMq6+TiIiIiJFC4iMIPqCCzgw6VPib7oJ4/LrlUXiZ/bs2RPw448/hk+ZMqXqe++9t8bX4+/bt8+1cePGkIceeuiEyTFfcrvdbNq0KWjs2LE1oqKi3Ndee+3+sjy/v6j0rwbGmMnGmH3GmE8Kba9rjJlljFlmjPnTGHOlUzFK+ZGRnUtGdi67DmZy5bh5h7e/OHMVl74wh10HC10xdd0P8O5VkNgR+n2gpJT4jJJkIiIi4m+qXNGXnC1byPjlF6dDkXKmV69eyf369Uu+9tprd1922WWpJ37EqYmNjfVs3779z5iYmDK9qNvq1auD69ev32rq1KlVX3nllfVBlfSqlSWumDLG3AfssNa+WWj7DUA1a+1/S3qOUvY88CZwfaHtucAd1to/jDHVgd+NMV9aa0+6879UPikPTi9yu9sDa3en037sd6x/7CLvxvVzvJVSiR29lVJBoWUYqfhSfi8nf1s+Z7WaWkRERPxIWJs2BNevz/5PJhFx5plOhyPlyIn6PpWFiy+++GDh5XIlVdQSvMrIFxVTw4G/iti+FLjJB+OXKmvtTOCodaTW2m3W2j/yvt8J7AWqlm10UmFtmOutlKrTHvopKSWlwL9yZCIiIiIYY6hyRV8OfvMN7gMHnA5HRPyELxJTNYGiGmrtAkp0uQVjTBdjzFRjzFZjjDXG9CnimJuNMeuMMZnGmAXGmM4lOecx4jgdcFlrN/l6bKlYlo3pybIxPbm9WyMCCv3vCnQZ7ujWCDb+8nej834fQFCYM8GKz/hrZZKuyiciIiL+JqZ3b6zHw4GpXzgdioj4CV9clW8TcDawrtD2s4GtJRw7AlgEvAVMKrzTGHM18CxwM/AT3uqtr4wxKdbajXnHLABCihi7h7X2hPEZY+KAt4EhJzgupNB5osDbzMztdp/oNOLH3G43Ho/npH6OIQHeMpUbzq7H54u2sG53BuBNStWLC2dw0h7s/66Amq3wXP0eBISA5ke5cay54PF4Du/3G9abmPKrmCqYU3ltkIpNc0HyaS5IQZoPRTOxsUSc04X9n3xCTL9rnA6nTPh6LmhOSUXji8TUG8Czxpgg4Pu8bd2Ax4GnSjKwtfYr4Cs4Zu+WUcB4a+0beffvMMb0BEYA9+WN0a64589LNk0GHrXWzj3B4fcBDxXeuGbNGiIjI4sbgvgBj8fD3r17Wb16Na5TuHrI/51XjX4fbQDg6pZVuK72diI/uoVDMclsaj8Wu6GkeVspa8eaCzt37gRg1aoyvYjHcWVmZnLAHPCrmCqa4r42SMWjuSD5NBekIM2HY7MdO8LY/2Pl119jGjZ0OpxS5+u5kJaW5oOoRPyHLxJTj+PtvfQyEJy3LRP4r7X2UR+MXyRjTDDQDnis0K4ZwFk+GN8AE4DvrbXvnMRDHgWeLnA/CtjcsGFDoqOjSxqOOMjtdrN69WqSk5MJCAg4pceuOa2Z95ttf+D63x1QI4WQaz8hOSTK94FKqTvWXFjEIsw6Q6NGjRyM7kiha0KJjo72q5gqmpK8NkjForkg+TQXpCDNh2Oz9euz9tXXiFq4kOoXXOB0OKXO13MhNdXnF6UTcVSJE1PW28TkXmPMf4BmwCFglbU2q6Rjn0A8EADsKLR9B96+VyfFGDMdaAtEGGM2A5dZa3/FuxTxauDPAr2tBlhrFxc1Tt7zPfyc8yu8AgIC9IuoAnC5XMX/WW5bBP+7HOIaQf9PCQhVorI8K2ou5P/ly5/+r7uMC2OMX8VUEZXotUEqFM0Fyae5IAVpPhxDQAAxF1/Mgc8/p+a992KCgpyOqNT5ci5oPklF47OaUmttmrX2V2vtkjJISh1x6kL3TRHbjv1ga3taa6tZa8OttXXyklJYa+dYa13W2tYFbkUmpUSOaftieLs3VG0AAz4FJaUqJH9tMu6vcYmIiIjE9OmNe+9e0ubMcToU8RMdOnRocsMNN9R1Og5fGDVqVO2mTZumOB1HeVGeFzvvBtwcXR1VnaOrqMqMMWakMWYZMN+pGMRP7FgKEy+FKvVgwGQIjXE6IilFx+iD5xh/i0dERESkoNCmTQlp3JgDUz53OhSpBJ5//vm4qKio1k7HIUUrt4kpa202sADoXmhXd+BEjcpLjbX2JWttCtDBqRjED+xa6a2UiknwJqXCqjgdkVRC9uSLR0VERETKXEzv3qR9/z1u9UwSqdT8OjFljIk0xrQ2xrTO21Q/735i3v2ngSHGmBuMMc2MMc8AicA4J+IVAWDvWnj7UgiPhwFTILyq0xFJGTD4V4WSv8UjIiIiUlj0xRdjc3NJ/fprp0MRP+HxeLjpppvqxMTEtI6Pjz9t1KhRtfP3rVq1Krhbt24Nw8PD20RGRra58MILG2zatOlw3+x58+aFnXHGGY0jIiLaREZGtmnevHmzH374IfyLL76Iuv3225PS0tICjDHtjDHtCo5b2MKFC0PbtWvXJCQkpG3Dhg2bf/bZZ1HGmHbvvPNOlfxjRowYkZCUlNQiLCysTZ06dVrefvvttbOysvQGvJh8cVW+0nQ6MLPA/fyr3k0EBllrPzTGxAEPArWAJcCF1toNZRumSJ4Dm2FibwgKh4FTICLO6YhERERERPxSUI3qRJx5Jgc+/5zYq65yOpwKLT0n3bVi74rQsjxnk6pNMiOCIjyn8phJkybFDRs2bMecOXOWz549O/K2225L6ty5c1rv3r1Te/fu3TAsLMwzffr0FTk5OebWW29N7Nu3b8P58+evABg4cGCD5s2bZ4wbN255YGCg/fXXX8ODgoLs+eefnzZmzJhNjz/+eO2lS5cuAYiJiSkyLrfbzeWXX96wdu3a2bNmzVqempoacPfdd9cpfFxUVJTn9ddfX5eYmJizYMGCsNtuuy0pKirK/cgjjzjWVqg8K3Fiyhjz9DF2WSATWA1MsdbuPdWxrbWz4Ph/9rfWvgy8fKpjlxZjzEhgJH5ejSal4OB2mHiJd8Ze/zlE1XA6Iikj1lpVKImIiIgUQ0zvS9l6z71kb95McJ2jPv+Lj6zYuyL0+q+vb1aW55x4wcTlbWu0zTiVxzRu3PjQU089tQ2gZcuWWa+++mr1b775Jgpg5cqV4X/99defycnJOQBvv/32utNPP7357Nmzw88555yMbdu2Bd92223b27Rpk5n/+PxxY2Ji3ACJiYm5xzv/5MmTozdt2hQye/bsFfnHHjp0aMtll13WuOBxjz/++Lb875s0aZK9fPny7ZMnT66qxFTx+KJiqg3QFggAVuD9WN4Ib2Pyv4CbgaeMMZ2stct8cD6/Zq19CXjJGBMNHHA6Hikj6bu9PaVyMmHwlxCjX6oiIiIiIicSdf75mPBwDnz+OdVuvtnpcCqsJlWbZE68YOLysj7nqT4mJSXlUMH71atXz961a1fQ0qVLQ2vUqJGdn5QCaNeuXWZUVJR78eLFYeecc07GsGHDdtx555313n///bhzzz039brrrtvXvHnzrKPP4jV69Oiazz//fK38+4sWLVq6fPny0Jo1a+YUTGB16dIlvfBj33rrrdgXX3yx+oYNG0IzMjJcbrfbREREuE/1+YqXLxJTU4C9wGBrbSpAXlJmPDAHeB14D3gG6OmD84n4l0P74Z3LIGMPDP4KqtZ3OiIRwFvJJSIiIuLPXOHhRHfvzoEpU4gfMUJXFi4lEUERnlOtXnJCUFDQEW9gjTF4PB7vCoUi5kbedgvw9NNPbx00aNCeyZMnx8yYMSPmySefrP3GG2+sHThw4P6iznXnnXfu6t+//778+0lJSdkFxzuW7777LmLo0KEN7rrrri0XXXTRptjYWPfbb79dddy4cVoyU0y+WG52N/Cv/KQUQN73DwP3WGszgDFAOx+cS8S/ZB2Ed6+AA5u8PaXiGzkdkTjAYk+w6Ljs6U2diIiIlBcxvS8lZ8NGMhctcjoU8VMtWrTI3L59e/Dq1auD8rctWLAgNC0tLaBly5aHK7NatWqV9dBDD+386aefVvXs2XPfhAkT4gGCg4Otx+M54g1yjRo13C1atMjKvwUFBZGSkpK5bdu24IJN1X/88ceIgo/74YcfImvVqpX13//+d3uXLl0yWrZsmbVx48bg0nv2FZ8vElMxQPUitlcDovO+3w/oByUVS3YGvHcN7FoBAyZDjeZORyRyBIsqpkRERMT/hZ9xBoHVqnHgi2lOhyJ+qnfv3qmNGzfOuOaaaxrMmTMnfObMmeHXX399/fbt26d16dIlIy0tzQwcODDxiy++iFq5cmXwjBkzIhYtWhTRpEmTQwANGzbMysjIcE2ZMiVq27ZtgQcPHiwyF9KnT5/UunXrZl177bX1f/nll7AZM2ZEPPjggwnw9x9+GzVqlLVt27bg1157LXbp0qUhjzzySPXp06fHltk/RgXki8TUFOBNY8xlxpg6xpgEY8xleJfyfZZ3TAdgpQ/O5feMMSONMcuA+U7HIqUoNws+vA62LoTrPoHabZyOSBxk8b/m5/4Wj4iIiMixmIAAoi/sRerXX2PdatMjR3O5XEyZMmVNTExMbo8ePZpccsklTRITE7MmTZq0BiAwMJB9+/YFDB06NKlFixYt+vfv37Br164Hnnrqqa0A3bt3T7/22mt3DRo0qEHt2rVPe+ihh2oWdZ7AwEA+/fTTNRkZGa7OnTs3u+mmm5JGjx69DSAsLMwD0L9///1DhgzZee+99yZ26NAh5eeff44cNWrU1rL6t6iIfNFjajje/lEfFBgvF5gI3Jl3/y9giA/O5ffU/LwScOfAx4Ngw1y47mNIPMPpiESKpIopERERKS+iL7yQvRPfJuPXX4no2NHpcMQB8+fPX1F427fffrsm//tGjRplf/fdd2sKHwMQGhpqp06duu5447/77rsbgY0niqNNmzaZCxYsOBzLjBkzIgCaNm16uJH6uHHjNo8bN25zwcc9+OCDO/O/f/rpp7c+/fTTSladpBInpqy1acBQY8ydQAO8nVbW5G3PP+aPkp5HxC943DD5Jlj1DfT7AOp3cToi8QP+2GRcPaZERESkPAlt1YqgOnVInTZNiSlx1Ntvv10lKirKk5KSkrl8+fKQf/zjH4lt27ZNO94V/qRkSrSUzxgTZIyZaYxpbK1Ns9b+aa1dVDApJVJhWAtf/gOWfgpXjIdG5zsdkfgRLZ0TERERKT5jDNEXXkjqjG+w2dlOhyOVWGpqasAdd9yR2KpVqxbDhw+vf9ppp6VPmzZttdNxVWQlqpiy1uYYY1qA1otIxWdmPgK/vQmXvggpvZ0OR+SE/LGSS0RERORYoi+6kD2vvUba3LlEnXuu0+FIJXXLLbfsueWWW/Y4HUdl4ovm528DN/pgnApBzc8rpqrL38H10zPQYyy0HeB0OOJnLNbvls6pgktERETKm5DGjQlObkjqtC+dDkVEypAvmp8HA0OMMd2B34D0gjuttaN8cI5yQ83PKx7z+0SqL3oRT6e7cJ11i9PhiJw0NT8XERGR8iR/Od/eN8bjOXQIV1iY0yGJSBnwRcVUC+B3IBVoDLQpcGvtg/FFnLPkU8y0UexrdCX23H86HY34MX+rUPK3eERERERORsyFF+LJyCBt9mynQxGRMuKLq/J19UUgIn5n1bfw6TBsyyvZkXIn0X62VEvkhFQwJSIiIuVMcFISoc2bkzrtS6IvuMDpcESkDPiiYgpjTGdjzP+MMXONMQl52wYYYzr5YnyRMrdhHnzYH5LPx17yAhif/FcRKTvKo4qIiEg5FX3RRaTNno07TRd7F6kMSvxp2xjTF5gOHALaAiF5u6IArX2S8mfbInjvKqhzOlw5AQKCnI5I/Jy1/tf8XERERKS8iu51ATY7m7TvvnM6FBEpA74oA3kAuMlaOxTIKbB9Lt5EVaWiq/KVc7tXwTuXQ1xD6Pc+BIU6HZFIsan5uYiIiJRHQbVqEXbaaaTO+MbpUEQOS0hIaDlmzJjqJRlj4cKFoaeddlrTkJCQtk2bNk1ZsWJFsDGm3dy5cyt1p39fJKaaAD8UsT0VqOKD8csVa+1L1toUoIPTscgp2r8J3u4DEfFw3SQIiXI6Iikn/DEBpObnIiIiUp5F9exJ+o8/4k5LP/HBUiH07ds36fzzz29YcNvGjRsDr7/++rp16tRpGRwc3LZmzZqtzjvvvOQpU6aUyw9rDzzwQO3w8HDP4sWLl8yaNWtFw4YNszds2LCoffv2hwC++OKLKGNMu927dwc4HWtZ8kViahuQXMT2TsBaH4wvUvrSdsE7fcDlggGTISLO6YhESswfE2YiIiIiJyOqRw9sdjbpP+jqfJXVihUrgk8//fSUn376Kfo///nP5t9++23pF198sbJLly4H77jjjkSn4yuODRs2hHTs2DGtcePG2TVr1nQHBgaSmJiYGxRUudvH+CIx9SrwnDHmDLzXgKptjLkOeBJ42Qfji5SuzAPwv8shMxUGfAbRtZ2OSKTEVDElIiIi5VlwnQTv1fmmz3A6FHHIsGHDEo0x/P7778sHDx68r1WrVlmnn3565sMPP7zj119//etkx8mvQvrggw9imjRpkhISEtK2VatWTefPn3/E8rkJEyZUSU5Obh4cHNw2ISGh5UMPPVTjWGNeeeWVSV27dj2iQCcnJ4f4+PjTnn322SKrHIwx7ZYuXRr+7LPP1jLGtBs1alTtgkv5VqxYEXzJJZc0BqhWrVprY0y7vn37Jp3s8yzPAks6gLX2cWNMDDATCMW7rC8LeNJa+2JJxxcpVTmZ8H4/2L8BBn3p7S0lcoqstX6ZCLJWFVMiIiJSfkX17MnuV17Bc+gQrrBK3YKnxDzp6a7Mv/4q0wa6oU2bZroiIjzFeeyOHTsCfvzxx5h77713S3R09FFjxMfHu091zPvvv7/Ok08+uSkhISFn9OjRCZdddlny2rVrl4SEhNgff/wx/MYbb2w4atSorQMGDNg7a9asyHvvvTcxLi4u97bbbttTeKxhw4bt6tWrV9MNGzYE1atXLwfgo48+isnIyHANHjx4X1Hn37Bhw6Ju3bo16dq164EHHnhge0xMjGf79u2HczINGzbMnjBhwppBgwY1XLRo0ZIqVaq4IyIiKsUb+hInpgCstfcbY8YCKXirsJZZa3VtT/FvHjdMuhG2LICBU6BmC6cjEvEZXSVQREREyrvoHt3Z9fTTpP34I9E9ejgdTrmW+ddfoRuu69+sLM9Z793/LQ9v1y6jOI9dtmxZiLWWZs2aZfoqntGjR2+97LLLUgHef//9dUlJSa3eeeedKkOGDNn3xBNP1OjYsWPqE088sQ2gVatWWcuWLQt7/vnnaxaVmOrevXt6UlJS5uuvv171kUce2QEwYcKE+AsvvHBfTExMkcm4xMTE3ICAABsZGelJTEzMBdi+ffvh/YGBgcTFxbkBateunVuc5Ft55ZPEFIC1NgP4zVfjiZQqa2HaKFjxFVzzLiR2dDoiKccs1i8TQeoxJSIiIuVZcFISIU2acHD6DCWmSii0adPMeu/+b3lZn7O4j7XWGvDtH1vPPffcw530a9So4U5KSspavnx5KMDq1atDe/Xqtb/g8Z06dUobP3589dzcXAIDj06dDBgwYNfEiROrPfLIIzu2bNkSOGvWrJipU6euBLj22msTP/vss8NL+jIyMhb67IlUQMVKTBljEq21G0/h+ARr7ZbinEukVMx6DBZMgEtfhCa9nI5GxOf8cWmhiIiIyKmK6tmDvW+Mx5OVhSskxOlwyi1XRISnuNVLTmjevHmmMYZly5aV6vLD/MSXtdYUToKdqC3G8OHD94wdO7bOt99+GzFnzpzIhISE7AsuuCAN4Iknntj6z3/+c0cphV3hFLf5+a/GmNeNMR2OdYAxJsYYM9QYswS4vJjnKXeMMSONMcuA+U7HIsfw6xsw+zHo9hC0HeB0NFJBKBEkIiIi4nvRPXviycgg/ae5TociZahGjRruTp06pb755pvVU1NTj8pb7N69O+BUx5w9e3ZE/ve7du0KWL9+fUjTvKquRo0aHZo3b15kweN/+umnyKSkpKyiqqUAatas6e7evfv+8ePHx7/33ntx/fr1252/LyEhIbdFixZZ+beTjTEkJMQDkJube4rPrnwrbmKqGXAA+NoYs8MYMy0vUfWCMeZ/xpjfgZ3AIOBua+0LPorX71lrX7LWpgDHTNqJg5Z+BtP+AWeMgE53Oh2NiIiIiIgcR0jDhgQnN+Tg9OlOhyJl7LXXXtvg8Xho27ZtswkTJlRZvHhxyO+//x76yCOPVO/QoUPTUx3vv//9b+0pU6ZE/frrr6HXXHNNUmxsbG7//v33A9xzzz07fv755+i777671p9//hnywgsvxE2cOLHarbfeuv14Yw4ZMmT3pEmT4tauXRs2fPjwo3pRnark5ORsYwwff/xxla1btwYeOHCguDmbcqVYT9Jau9da+w+gNjACWAnEA43yDnkXaGetPdta+5VPIhUpqXU/wqdDoUVf6Pl/4Ic9gUR8RtNbREREKojoHj04+P332Oxsp0ORMtS0adPs3377bflZZ5118P7776/brl275r169Wo8c+bMqOeff/5wa6G+ffsmdejQocmJxhszZszmf/zjH4lnn312ys6dO4MnTZq0OjQ01AJ06tQpY/z48WsmT55ctV27ds0fffTR2nfffffWohqfF9S7d+/UatWq5XTq1OlAUlJSTkmfc/369XPuuuuurWPGjEmoU6fOaTfccENiSccsD0rU/Nxamwl8mncT8V/b/oQProV6Z0GfV8BVKRLPUkastX65lO9E6+JFREREyoOonj3Z/fIrpP/yC5GdOzsdjpSSSZMmrS+8rV69ejlvv/32cftbb9q0KaRTp04HTzR+9+7d0/6/vTsPs7Mu8/z/vqsqqTUJEFYFwioQAgYSFhGCyA+x0XH5qe3Sizit7Q/iTDs209N0O2A7w+jYtna3YOuvZXDruVrbcUObgR4NKg3NEtYQaEGIQFhDIlkqVUlV3fNHVcVDUVWpVJ1znqfOeb+u61zJec73POcucvMk9anv9/u8+93vvn+i1y+88MJfXXjhhb+a6PX169ffN/bYtm3bWjZv3tz6vve9b8N47xnrwQcfXFv5/JhjjtmRmasrj/35n//5U6N3B2wWfneuxrfxUfj622CfI+CdX4e2uUVXJNVcGYMySZKk6Wh/xSuYc/DBbPnRj4ouRSWzadOmlscee6z98ssvn3TJXbUNDg6ybt26OR/5yEdeNm/evMH3vOc9v6rn5zcagyk1tq3PwtfeCu3z4Le+NfyrVGVJlnLpXOKMKUmSNPtFBPPOPZetP/oxOTRUdDkqkb333nvo6aefvnfBggV1bYyHH3547uGHH37itddeu8/f/M3frJszZ049P77hzGgpn1RWvTsGOOWy7/L3c/8LS+ZtJ95/A/TsV3RZUt04Y0qSJDWSnnNfy8avfIW+NWvoPPHEosvRLPLGN75xy9jlcjM13hI8TZ8zptSYBvr54pzPsCieoe9d34S9Dyu6IkmSJEnT1HXyybQuWMCW/+NyPqnRGEyp8QwNMffalZzS8nM+sOMS8oAlRVekBpe4+bkkSVItRVsbPeecw5YfG0ztxhCQmVm+f5yqqYz0YDLck5MymFJjyYTr/4Tta/83b+z/r9yax/HFnzzC1v6BoiuT6irCf4tIkqTG0nPua9nx8C/YsW5d0aWU2dOZuXPbtm1dRRei5rZt27auzNwJ7PYOg+4xVWURsRJYiaFf3fXuGKDt1s+z41+u4U1zvsij/cMb0F256iGuvedJvvHB09lvXkfBVaoRZWYpgyA3P5ckSY2k59WvJtrb2fKjH7Pw9/5t0eWU0rJlyzavXr36q08//fRFwMLu7u7eiPAfhaqbzIxt27Z1Pf3003MHBwevXrZs2Zbdvcdgqsoy8yrgqoiYD7xQdD3N5D9+7M+4au5f83s7/tOuUApgcAge2bCNU674Ees++YYCK5Tqp4xLCyVJkmaipauL7jPOYMuPDaZ247/t3LmTJ5988ncjootS3j9aDSwzc+fg4ODVwH+byhsMptQY1v0zn5nzeb4z+Gp+lt6lQ/VV2j2mnDElSZIazLxzX8tT//kyBp5/nraFC4sup5SWLVs2BPzX1atX/xVwEK7mUX0NAU9NZabUKIMpzX7PPgh//27aDnsV57/rm/zBTU9w5aqHGKzYYq2tJfjQOUcVV6NUZ2UMyiRJkmaq55xzANh6443s9ba3FVxNuY0EA1MOB6SimJxqdtv8FPzd22H+wbS+++/o6uziAyuOYNE+3buGtLUEixZ28f4VRxRYqFQAJ0xJkqQG07ZwIZ0nncSW/+Pd+aRGYTCl2at/C/zPd8DQIPzWP0DHAgB62tv4xgdP3zVs5TlH8b0PnUlPuxMEVTulm6FUsnIkSZKqZd6557Lt5psZ6u0tuhRJVWAwpVmnd8cAR/3x9/jpf/0NctM6+O1vwYKXv2hMd0UI9cGzjzCUkiRJkhrEvHNfS/b3s+2WW4ouRVIV1CyYiogDIqKzVudX89rWt5NzYzV/O3ABf3Xk1Wzd65iiS1KTy0wiyjdFyc3PJUlSI5p72GHMXbSIrTf+pOhSJFVBTaaRRMSdwCbgZRFxHXBpZvbX4rPUHHp3DACwrX+Ad/7lD3kslzFAGzffPcD3H7uJb3zwdPab11FwlVJ5BGEwJUmSGlbPa17D5uuuK+0PCCVNXa1mTJ2amecCi4H1wPURsVeNPktNYPFl17P4sut533/7/3msdw4DI5nq4BA8smEbp1zh5ofSWAZTkiSpUfW85mwGnn2W/gceKLoUSTNUkxlTmTkw8tse4FpgH+DHwMm1+Dw1h9e03M1Qxq5QajJdc9tY98k31KEqqZwBUOk2Y5ckSaqirmXLaOnuZutPfkLH4sVFlyNpBmoyYyoiHoqI54E1wFeB44Fba/FZag4PXHQA13RfxfL9B2kd07VtLcGHzz26mMKkEsssX2AmSZJUDTF3Lt1nnsmWG28suhRJMzTtYCoieiZ5+fTMXJiZizLz9Mx8S2ZeNN3PUpPbtI7Ob76b2P84/u37/4BF+3TveqmtJVi0sIv3rziiwALV7DKzdDOU3GtBkiQ1up6zz6bv3vsYeP75okuRNAMzWcq3KSIOyswNY1/ITK8Mqo7tm+Dv3gFzu+E936Cnez7f/3dn8uV/fpQ71m1i+WF7c+GrD6envSarUiVJkiSVVM+KswDY+tOfsddb31JsMZKmbSbfzbdSMeMqIv4Z+H8z85kZVzWLRcRKYCW121i+eQzsgG/8Dmx7Dt7/I+jeF4Ce9jY+9FqX7qlcyjhDqYx7X0mSJFVL27770nHCCWz9yU8MpqRZrJrhyYlA925HNbjMvCozFwOnFl3LrJYJ1/4BPH4rvOt/wsIji65ImlAZA6CyLS2UJEmqhZ7XnM22m24id+4suhRJ0+SsHpXKc1v6OOyPf8iKS/8HV96xla0XfB4WnVF0WdKsVMbATJIkqZp6zj6boa1b6V19Z9GlSJqmmQZT74mIkyNizshzvwvSHuvdMUDvjgGe29LHO75wC8EQj3Egnx38Td60aj+e29JXdInSpBI3P5ckSSpCx+LFtO2/P1t/8pOiS5E0TTPZY+om4M+AecDOkXNdERE/A+4E7slMEwXt1uLLrq94NsRoXjpIC49s2MYpV/yIdZ98QyG1SbOaPyqQJEkNLiLoOXsFW2+8kQP+0x8VXY6kaZj2jKnMXJGZC4BjgfcCfwEcAFwB3AJsjoh7q1KlmkIHfbi6VLNSuqeTJElSUXpe8xp2PPooOx57rOhSJE1DNVKAh4H1wL8Av5WZ+wBHAr8F/KAK51eDW/vx81n7x6ewsuentDL4otfaWoIPn+sd+KTpcI8pSZLUDLpOOx3mzGHrz35WdCmSpqEawdSzwA+BLwKPR8Q1wHOZ+Q+Z+SdVOL8aXFcM0PXt3+V9c/6JRft07jre1hIsWtjF+1ccUWB10uzkDC5JktQsWnu66Tr5ZLb97KaiS5E0DdUIpt6RmfMzcz/gFOAw4LaIOLAK51ajy4TvrYQn76LnPV/hGxedteulleccxfc+dCY97TPZCk2qvRxeyydJkqSC9Jx1JttuvZWhHTuKLkXSHprxd/yZuari93dHxGuBTwE3RcRZmfnUTD9DDWzVFbDmW/COL8Mhp7AfuNG5VCWZLuWTJEnNofvMM3n203/B9jvvpPv004suR9IeqMVO093A1cDPgRtqcH41irv+Dn765/D/fAyOf2vR1UjTlmTpls5FlKseSZKkWmo/5hha99vXfaakWWjGwVREXBMRN0TE2oh4AXgBuB94PcOboEsv9chP4Np/Dyf/Lrz6w0VXIzUkNz+XJEnNIiLoOfMs95mSZqFqbN5zAPBL4GaG786365GZG6pwfjWI3h0DLL7seo6M9fyf+f+FOOwseMNnwJkdagBlm6FUthlckiRJtdZz1pm88J3vsPOZZ5hzwAFFlyNpiqqxx9QF1ShEzSL5izlfIOe9jPjNr0DrnKILkmasrHs5OWNKkiQ1k65XvQpaWth2003s9ba3FV2OpCmqxR5T0ri29Q8Awbt2fJS/XvQ5tkZ30SVJDcsZU5Ikqdm07b03HScsYavL+aRZxWBKNdW7Y4DeHQM8t6WPd3zhFgD6aOdztzzHmz53E89t6Su4Qmnmyrj5OYATpiRJUrPpOfMstt1yCzkwUHQpkqaoGntMSRNafNn14x4fHIJHNmzjlCt+xLpPvqHOVUmSJElqRD1nncmGq65i+3330XXSSUWXI2kKnDElSVVQuhlTJStHkiSpHjpOOIGWBQu8O580ixhMqabWfvx81n78fP7g3KNpHdNtbS3Bh889upjCpCpy83NJkqRyiNZWus94FVtvMpiSZoumD6Yi4jsRsSkivjXm+LyIuD0i7o6I+yLiA0XVOJt1zW2ja24bH1hxBIv2+fVm520twaKFXbx/xREFVic1rtLN4JIkSaqTnjPPou+++xjYtKnoUiRNQdMHU8BfA787zvFe4OzMXAqcBlwaEQvrWVgj6Wlv4xsfPH3X85XnHMX3PnQmPe1uc6bGEFG+IMgZU5IkqRl1n/lqyKT3X/6l6FIkTUHTB1OZuQrYMs7xwczsHXnaAbTiri0z0l0RQn3w7CMMpaQaKmNQJkmSVA9zDjiAuUceybabbym6FElTUOpgKiJWRMS1EfFkRGREvGWcMRdHxKMR0RcRqyPirCp+/l4RcQ/wBPCpzNxQrXNLahxlnZlU1r2vJEmSaq37Va9i2803++8haRYo+5SVbuAe4Brgf419MSLeCfwlcDHwz8AHgesiYnFmPjYyZjXQPs65X5eZT0724Zn5K+CVEXEA8O2I+FZmPjPe2IhoH/M58wAGBwcZHByc7GOaRntr8IsrXr/r+Wz57zI4OMjQ0NCsqVe1M1EvDA0N7Xq9NHI4mCpVTQ3Ga4NG2QsaZS+okv1QrM7TT2fT179O37p1zD300EJrqXYv2FNqNKUOpjLzOuA6mHBZykeAqzPzSyPPPxwR5wMXAZeOnGNZFep4JiLuBVYA/zDBsEuBy8ce/MUvfkFPT89MS1CBhoaG2LhxIw8//DAtLaWeZKgam6gXNm3axMDOAR566KECq3uxzZs3s33H9lLV1Gi8NmiUvaBR9oIq2Q/Fyn32hpYW1n3ve8TrX7/7N9RQtXth69atVahKKo9SB1OTiYi5wDLgk2NeugE4owrnPwDYnpmbI2I+w6HU30zylk8An6l4Pg944sgjj2T+/PkzLUcFGhwc5OGHH+aoo46itbW16HJUoIl6Ye+tezNn8xyOPvroAqt7sfnPzqd3W2+pamo0Xhs0yl7QKHtBleyH4j32ylfS9otHeFnB/x6qdi9s3ry5ClVJ5TFrgylgX4Y3JB+7tO4Z4MCpniQirgdOBroj4gngrZl5O3AwcHUMT9UK4MrMvHei82RmP9BfcV4AWltb/YuoAbS0tPhnKWD8Xqj8/70sWqIFolw1NSKvDRplL2iUvaBK9kOxes44g41f/zotQBT8Z1DNXrCf1GhmczA1auxudjHOsYnfnHn+BMdXA0unX5akZpFkKe+C52afkiSpmXWf8So2XHUVfWvX0nnCCUWXI2kCs3mx8wZgkJfOjtqfl86iqpuIWBkRa4HbiqpBksoYlEmSJNVT54kn0tLVxbabbym6FEmTmLXBVGbuAFYD54156Tzg5vpXNCwzr8rMxcCpRdUgqf4CgyBJkqQyiTlz6Dr1VLbdXNi3h5KmoNTBVET0RMTSiFg6cujwkeej9/v8DPD+iPi3EXFcRHwWOBT4QhH1SmpOOfXVw5IkSaqj7jPOYPuddzK0fXvRpUiaQNn3mFoOrKp4PnrXu68AF2bmNyJiIXAZcBCwBrggM39Z3zIlqXwMzCRJUrPrPuNV5M6d9N6xmp6zziy6HEnjKHUwlZk3wuTrYzLz88Dn61LQFETESmAlJZ+NJqmKsnx7Orm0UJIkCeYeeSRt++/PtltuMZiSSsrwpMqadY+p57b0cdgf/5DD/viHfPaffs7W/oGiS5IkSZLU5CKC7le9yn2mpBIzmNK09e4YoHfHAM9t6eMdX/j1nS6uXPUQb/rcTTy3pa/A6qT6SbKUM5QyXconSZLU/eoz6H/wQQaef77oUiSNo9RL+VRuiy+7ftzjg0PwyIZtnHLFj1j3yTfUuSpJUL6lhZIkSUXpOu00AHpvv535r399wdVIGssZU5LUoNz8XJIkCeYccABzDzuMbf/yL0WXImkczpiqsmba/Hztx88H4Is/eYQrVz3E4NCvX2trCT50zlEFVSbVVxmXzJVxaaEkSVJRuk47jd5bbyu6DEnjaPjwpN6aafPzrrltdM1t4wMrjmDRPt27jre1BIsWdvH+FUcUWJ0kZ0xJkiQN6z79NHY8+ig7n3m26FIkjWEwpRnraW/jGx88fdfzleccxfc+dCY97U7IU3NIsnR7OpWtHkmSpCJ1nTo8b6D3tlsLrkTSWCYHqor95nW40bkkSZKkUmpbuJD2o49i2623suDf/Juiy5FUwRlTklQFpdzTyZV8kiRJu3Sddrr7TEklZDBVZRGxMiLWAl7xpCZRxr2cShmUSZIkFajrtFPZ+fjj7Fy/vuhSJFUwmKqyZtr8XFK5lTEwkyRJKkr3KadABNucNSWVisGUJM1QZjpDSZIkqeRa99qL9mOPpfdWN0CXysRgSpIaVKYzpiRJkip1n3Ya2267zX8nSSViMCVJVRBRrhlTZatHkiSpDLpOO5WBp55i52OPFV2KpBEGU5LUoNxjSpIk6cW6li+Hlha2uZxPKg2DqSrzrnySysA9ryRJkl6qdd48OpYsodcN0KXSMJiqMu/KJzUfZyZJkiTNHt2nncq22251nympJAymJKlBGZhJkiS9VNeppzH43AZ2PPpo0aVIwmBKkmYsM0u32bhL+SRJksbXedJJ0NJC7x13FF2KJAymmt5zW/o47I9/yGF//EM++08/Z2v/QNElSaoSp6dLkiS9VGtPNx2LF9N7u8GUVAYGU02od8cAvTsGeG5LH+/4wi27jl+56iHe9LmbeG5LX4HVSbNT2WYolW0GlyRJUpl0nXIKvbff7g/ypBJoK7oA1d/iy64f9/jgEDyyYRunXPEj1n3yDXWuSpq93MtJkiRpduk6ZTkbr7mGneufZO7BLy+6HKmpOWNKkiRJktRUuk4+GSLovf32okuRmp7BVJVFxMqIWAvcVnQtE1n78fNZ+/Hz+YNzj6Z1TAe0tQQfPvfoYgqTZqnMLN1SPkmSJE2sda+9aH/FK+i9w2BKKprBVJVl5lWZuRg4tehaJtI1t42uuW18YMURLNqne9fxtpZg0cIu3r/iiAKrk1QtLjGUJEmaWNfy5d6ZTyoBg6km1tPexjc+ePqu5yvPOYrvfehMetrdekzaU2XbbNwZXJIkSZPrOmU5O3/5GDufebboUqSmZgLR5Pab1+FG59IMlXVmkneZkSRJmljXsmUA9N5xOwve4PdEUlGcMSVJDahsM7gkSZLKpm2//Zh7+OEu55MKZjAlSVVQxqVzZZ3JJUmSVBZdy5ez3WBKKpTBlCQ1oDIGZZIkSWXTdcpy+h96mIFNm4ouRWpaBlOSNENl3cvJGVOSJEmT6zrlFACX80kFMpiSpAbkHlOSJEm7N+egg5jz8pe7nE8qkMGUJFWBQZAkSdLs1LV8Ob23G0xJRTGYqrKIWBkRa4Hbiq5FUn2UdclcWZcYSpIklUnXKcvpe/BBBrdsKboUqSkZTFVZZl6VmYuBU4uuRVLzcvNzSZKkqek8eRkMDbH97nuKLkVqSgZTkjRDSRoESZIkzVJzDz+M1r33pvfO1UWXIjUlgylJkiRJUtOKCDqXncz2O+8quhSpKRlMSVIVlHHGlHtMSZIkTU3XSSez/Z57yJ07iy5FajoGU5I0Q2UMgLxLoCRJ0tR1LTuZ7Ouj78EHiy5FajoGU5IkSZKkptaxeDHR3k7vaveZkurNYEqSqqCMM5SS8s3kkiRJKqOYO5fOE05g++o7iy5FajoGU5LUgMq455UkSVKZdS5bRu9dd5VymwapkRlMSVIVlDEIcsaUJEnS1HWdfBKDGzaw87HHii5FaioGU5I0Q2UMgMoYlEmSJJVZ59KlEEGvy/mkujKYkqRqKGEO5DR0SZKkqWtdsID2o45i+10GU1I9GUxJ0gyVMQAq42bskiRJZde57GRnTEl1ZjAlSZIkSRLQtWwZOx55hIFNm4ouRWoaBlNVFhErI2ItcFvRtUiqjyRLt6dT2eqRJEmaDTpPOhmA7XfdVXAlUvMwmKqyzLwqMxcDpxZdiyRJkiRp6ua8/GW0HXAAvatXF12K1DQMpiSpCso4Q6mMdwuUJEkqs4ig8+ST2H6nM6akejGYkqQZKuPm5yXMySRJkmaFrpOXsX3NGob6+4suRWoKBlOS1KBKGZhJkiSVXOfSpbBzJ333ry26FKkpGExJ0gwlSUS5piiVcWmhJEnSbNBx7DFERwfb77676FKkpmAwJUkNyj2mJEmS9lzMmUPHkuMNpqQ6MZiSpCoo2wylstUjSZI0m3QtXcr2u+92awSpDgymJEmSJEmq0Ll0KQPPPsvAU08VXYrU8AymJKlB+RM+SZKk6elcuhTA5XxSHRhMSdIMlTEAKttm7JIkSbNJ2777MueQQ+g1mJJqzmBKkhqUm59LkiRNX+fSpWy/+56iy5AansGUJFVB2WYoufm5JEnSzHQufSV9DzzAUH9/0aVIDc1gSpJmyJlJkiRJjadz6VLYuZO+++8vuhSpoRlMSVIVOENJkiSpsXQccwzR2cn2u+4uuhSpoRlMSdIMlXXGVBk3ZZckSZotoq2NziVLvDOfVGMGU5LUgMq255UkSdJsNLwB+t3+wE+qIYMpSZqhzDQIkiRJakCdJy1l4LnnGHjyyaJLkRqWwZQkNaiyLjGUJEmaLTpf+UoAel3OJ9VM0wdTEfGdiNgUEd+a4PWuiPhlRHy63rVJmj3Ktvl52eqRJEmajdoWLmTOoYey/e57ii5FalhNH0wBfw387iSv/ylwa51qkTQLlXVmUlnrkiRJmk06l77SDdClGmr6YCozVwFbxnstIo4GjgX+sa5FSZp1yjZDyT2vJEmSqqNz6VL6HniAof7+okuRGlKpg6mIWBER10bEkxGREfGWccZcHBGPRkRfRKyOiLOqWMKngUureD5JjaikE5O8e4wkSdLMdZ74ShgYoP+BB4ouRWpIpQ6mgG7gHuBD470YEe8E/hK4AjgJ+BlwXUQcWjFmdUSsGefxssk+OCLeDPw8M39epa9FkuqmbDO4JEmSZquOVxxNzJ3L9nvvK7oUqSG1FV3AZDLzOuA6mHBZykeAqzPzSyPPPxwR5wMXMTLTKTOXTfPjTwfeFRHvAHqAORGxOTM/Pt7giGgH2isOzQMYHBxkcHBwmiWoDAYHBxkaGvLPURP2wujMpDL1yNDQEFCumhqN1waNshc0yl5QJfuhgbS20n7ccfTeew8LBt+zx2+vdi/YU2o0pQ6mJhMRc4FlwCfHvHQDcMZMz5+ZlzISbkXEhcCSiUKpEZcCl489+Itf/IKenp6ZlqMCDQ0NsXHjRh5++GFaWso+yVC1NFEvbN6ymd6BXh566KECq3uxjRs3snPnzlLV1Gi8NmiUvaBR9oIq2Q+NJQ85mL7Vd7J1Gv+2qnYvbN26dcbnkMpk1gZTwL5AK/DMmOPPAAdO9SQRcT1wMtAdEU8Ab83M26dRzyeAz1Q8nwc8ceSRRzJ//vxpnE5lMTg4yMMPP8xRRx1Fa2tr0eWoQBP1wryn5zHYP8jRRx9dYHUvtnD7Qto2tZWqpkbjtUGj7AWNshdUyX5oLJvPWsHTP/ghR+y3P617Ldij91a7FzZv3jzjc0hlMpuDqVFjd/eNcY5N/ObM86cw5stTGNMP7LpNw+jSw9bWVv8iagAtLS3+WQqYoBdi+P/5MvVHS7RAUqqaGpHXBo2yFzTKXlAl+6FxdC99JQA71q6l56wz9/j91ewF+0mNZjbPKd0ADPLS2VH789JZVHUTESsjYi1wW1E1SJJ7n0uSJFXPnEMPpWXBArbfd2/RpUgNZ9YGU5m5A1gNnDfmpfOAm+tf0bDMvCozFwOnFlWDpPrKzFLeBS+nPnlUkiRJk4gIOk84gb57DKakaiv1Ur6I6AGOqjh0eEQsBTZm5mMM7+n0tYi4A7gF+H3gUOAL9a5VksqkjEGZJEnSbNZ54ols+vu/H/6h5Ph3jZc0DWWfMbUcuGvkAcNB1F3AxwEy8xvAh4HLgLuBFcAFmfnLehcqqbmV8R8nzpiSJEmqno4TT2Bw40Z2rn+y6FKkhlLqGVOZeSO72SklMz8PfL4uBU1BRKwEVlL+0E9SlZQxAHLGlCRJUnV1nngiAH333sPcg19ecDVS4zA8qTL3mJKak0GQJElSY2vbZx/mHHww2++9r+hSpIZiMCVJDSqzfDO5JEmSZrPOE09g+30GU1I1GUxJUgMq455XkiRJs13HCSfSd//95MBA0aVIDcNgSpKqoYQ5UBn3vpIkSZrNOk88gezro/+hh4ouRWoYBlNVFhErI2ItcFvRtUiqjzIumXPPK0mSpOrrWLwYWlvdZ0qqIoOpKnPzc6k5GQRJkiQ1vpbOTtpf8Qq233dv0aVIDcNgSpJmqIxL5txjSpIkqTY6TziBvnsMpqRqMZiSJEmSJGmKOk88gf6HH2Zw67aiS5EagsGUJFVBGZfylXHvK0mSpNmu48QTIZO+tfcXXYrUEAymqszNz6XmYwAkSZLUPNqPPJLo6qLvPjdAl6rBYKrK3Pxcak5l3NOpjHtfSZIkzXbR2krn8cez3X2mpKowmJKkGSpjAFTGpYWSJEmNouPEE9jujCmpKgymJKkKyhgElTEwkyRJagSdJ76SgaeeYuezzxZdijTrGUxJ0gyVMQAq49JCSZKkRtF5whIA+tasKbgSafYzmJKkBuWm7JIkSbXRdtBBtO69N31rvDOfNFMGU5JUBWVbyle2eiRJkhpJRNCxZAl99xtMSTNlMFVlEbEyItYCtxVdi6Q6cWKSJElS0+k4fjHb197vLHVphgymqiwzr8rMxcCpRdciqY5KOEGpjHtfSZIkNYqO449n8LkNDLgBujQjBlOSNENlDIBcyidJklRbnUtGNkB3OZ80IwZTktSoypeXSZIkNYy2Aw+kdZ993ABdmiGDKUmqgrLNUIooVz2SJEmNJiLoOP54Z0xJM2QwJUkzVMalfFDeuiRJkhpFx5Lj2X6/G6BLM2EwJUlVULYZU5IkSaq9zuOPZ3CDG6BLM2EwVWURsTIi1gK3FV2LpPrwJ2SSJEnNqeP44wE3QJdmwmCqyjLzqsxcDJxadC2S6qeMezq5lE+SJKm22g48kNaFC+lbs6boUqRZy2BKkhqQSwslSZJqb3gD9MVsd8aUNG0GU5I0Q2WdmeQSQ0mSpNobvjPfWv/tJU2TwZQkVUHZZiiVcWmhJElSI9q1AfozzxRdijQrGUxJ0gyVdsZUSeuSJElqJB1LlgBugC5Nl8GUJFVB2WYolW0GlyRJUqNqO+CA4Q3QDaakaTGYkqSZcmKSJElS09q1Abp35pOmxWBKkhpQ2WZwSZIkNbLOJUvcAF2aJoMpSZIkSZJmoOP44xl8/nk3QJemwWCqyiJiZUSsBW4ruhZJ9VHWTcb9iZ0kSVJ9dBx/PAB9LueT9pjBVJVl5lWZuRg4tehaJNWPm41LkiQ1r7YDDqB1333Z7gbo0h4zmJKkGSrrzKSyzuSSJElqNKMboHtnPmnPGUxJUhWUbbNxZ3BJkiTVV+fxx9O35v7S/tBSKiuDKUlqUP6jSJIkqX46lixhcONGBp5+uuhSpFnFYEqSZqiMS+bKNoNLkiSp0e3aAN3lfNIeMZiSpCpw6ZwkSVJza9t/fzdAl6bBYEqSZqiMM6agvHVJkiQ1ooig47jj6F/7QNGlSLOKwZQkVUHZZkyVrR5JkqRm0HHccfQ9+GDRZUizisGUJM1USScmOWNKkiSpvjoWH8fAM88wsHFj0aVIs4bBlCQ1IGdMSZIk1V/HsccC0OdyPmnKDKYkqRrKmAM5YUqSJKmu5hx6KC3d3fQ/aDAlTZXBlCTNUBmXzEWUMSmTJElqbNHSQvuxxzpjStoDBlOSVAVlXDpXxsBMkiSp0XUceyx9DxhMSVNlMCVJM2QAJEmSpFEdi49jx7p1DPX2Fl2KNCsYTFVZRKyMiLXAbUXXIql+XDonSZIkgI7jjoNM+v71X4suRZoVDKaqLDOvyszFwKlF1yKpuTmTS5Ikqf7mHnUUtLW5nE+aIoMpSZqhzPIFQM7gkiRJKkbL3Lm0H3UU/Q88WHQp0qxgMCVJVVDKzc9LGJhJkiQ1g47jjnPGlDRFBlOSNENlXDJXxqBMkiSpWXQcdyz9P/85uXNn0aVIpWcwJUlVUMYgqIyBmSRJUjPoOO44cscO+h99tOhSpNIzmJKkBlTGoEySJKlZtB97LAD9LueTdstgSpJmyL2cJEmSVKl13jzmHHIIfWsNpqTdMZiSpCrwLniSJEmq1HHccfQ96J35pN0xmJKkBmRQJkmSVKyOxcN35nN2vTQ5gylJamD+Q0iSJKkY7ccey9DmzQw8+WTRpUilZjAlSTNUxrvfufm5JElSsTqOWwxAv8v5pEkZTElSFZQ1CCpjaCZJktQM2vbfj9aFC+nzznzSpAymJEmSJEmqsoig49hj6X/AGVPSZAymJGmGyryPU5lrkyRJanQdi49zKZ+0GwZTklQFZbsLXtnqkSRJakYdxx3HwNNPk5s3F12KVFoGU5I0Q+7jJEmSpPG0H3vc8G8efbTYQqQSM5iSpCpw83NJkiSNNfewRURnp8GUNAmDKUlqQGUNyiRJkppJtLTQfswx8IjBlDSRpg+mIuI7EbEpIr41zmsDEXH3yONLRdQnqfzKPCupzLVJkiQ1g/Zjj4Vnni66DKm02oouoAT+GvgfwHvHee1Xmbm0vuVImo3Kttl42eqRJElqVvv90X/khV/+sugypNJq+hlTmbkK2FJ0HZJmsTJPSipzbZIkSU2gpb3dHxpKkyh1MBURKyLi2oh4MiIyIt4yzpiLI+LRiOiLiNURcVYVS5g/cs6bIuLsKp5XUoMp255OZatHkiRJksZT9qV83cA9wDXA/xr7YkS8E/hL4GLgn4EPAtdFxOLMfGxkzGqgfZxzvy4zn9zN5x+WmU9GxBLghxFxQmZuHm9gRLSP+Zx5AJs2bWJwcHA3H6MyGxwcZPPmzWzatInW1taiy1GBJuqFHb072D5nO5s2bSqwuhfbunkrg9sH2bhpI3Nb5xZdTkPy2qBR9oJG2QuqZD9oVLV7YfPmcb8llWatyJwd6zwiIoG3ZuZ3K47dCtyZmRdVHHsA+G5mXroH534N8KHMfPskY64D/nNm3jHB6x8DLp/qZ0qSJEmSNAMHZ+b6oouQZqrsM6YmFBFzgWXAJ8e8dANwRhXOvzfQm5n9EXEwsBh4ZJK3fAL4zJhj+wAbZ1qLCjcPeAI4GPcja3b2girZDxplL2iUvaBK9oNG1aIX5gG7WwEkzQqzNpgC9gVagWfGHH8GOHCqJ4mI64GTge6IeILhWVm3A8cBX4yIIYa3D/6DzJwwZMrMfqB/zGHnWDaAio0Kt0y0lFPNwV5QJftBo+wFjbIXVMl+0Kga9YI9pYYxm4OpUWPXIsY4xyZ+c+b5Exy/GThhBnVJkiRJkiRpEqW+K99ubAAGeensqP156SwqSZIkSZIklcysDaYycwewGjhvzEvnATfXvyI1sH7gz3jpUk01H3tBlewHjbIXNMpeUCX7QaPsBWkSpb4rX0T0AEeNPL0L+AiwCtiYmY9FxDuBrwH/H3AL8PvAB4DjM/OXBZQsSZIkSZKkKSp7MPUahoOosb6SmReOjLkY+CPgIGAN8B8y86d1KlGSJEmSJEnTVOpgSpIkSZIkSY1r1u4xJUmSJEmSpNnNYEqSJEmSJEmFMJiSJEmSJElSIQympD0UEd+JiE0R8a2pHFfjmuzPPCK6IuKXEfHpImpT/Y3XDxFxTETcXfHYHhFvKbBM1VhEHBIRN0bE2oi4NyLeUfHaGyPiXyPioYh4f5F1qj4m6oeImBcRt49cF+6LiA8UXatqazfXhsMjYtXIa/dFRHeRtaq2dtMLl0TE/RGxJiJ+u8g6pXpy83NpD0XEOUAP8N7MfPvujqtxTfZnHhFXAEcDj2XmJUXUp/ra3TUgInqAdcCizNxW5/JUJxFxEHBAZt4dEfsDdwLHAP3AWuAcYPPI8dMyc2NhxarmJumHPqA9M3sjoovhO0ufkpnPF1iuamiiXsjMbRHxE+CjmfmziNgH2JyZA4UWrJqZ5LpwBPAV4IyRoT8C3pCZvyqkUKmOnDEl7aHMXAVsmepxNa6J/swj4mjgWOAf616UCjOFa8CbgB8ZSjW2zHwqM+8e+f2zwEZgH+BU4P7MXJ+ZWxi+PpxfWKGqi4n6ITMHM7N3ZFgH0ApEMVWqHibqhYg4HtiZmT8beW2joVRjm+TvieOAmzOzLzP7gLuB1xdVp1RPBlNqKhGxIiKujYgnIyLHW1ITERdHxKMR0RcRqyPirAJKVY3VuBc+DVxa1YJVU3W6Nvwm8I2qFKyaqWYvRMRyoCUzHwdeBqyvePkJ4OW1+BpUPTXsByJir4i4h+Fe+FRmbqjl16KZqWEvHA1sjYjvR8SdEfEntf1KNFM17IU1wDkj14a9gNfi3xNqEgZTajbdwD3Ah8Z7MSLeCfwlcAVwEvAz4LqIOLReBapuatILEfFm4OeZ+fOqVqtaq+m1ISLmA6/GWXSzQVV6ISIWAl8Ffn/00Dincz+F8qtVP5CZv8rMVwKHA++JiANq8QWoamrVC3OAs4CVwKuA8yLivBrUr+qpSS9k5lrgr4EfA98BbgecPaemYDClppKZ12XmRzPz2xMM+QhwdWZ+KTMfyMwPA48DF9WtSNVFDXvhdOBdEbGO4ZlTH4iIy6pVt2qjDteGNwPXj0zNV4lVoxciop3hbyo+kZk3jxxez4t/8n0w8FTVvwBVVQ37ofIzngHuBVZU/QtQ1dSwF54Abs/MxzOzn+EfYCyt1dehmavldSEzv5iZJ2fmOcAO4OGafSFSiRhMSSMiYi6wDLhhzEs38OtNCNUEZtILmXlpZh6SmYcBlwB/m5kfr0mhqosqXRtcxtcAptILERHAl4EfZ+bXKsbcBiyJiJdHxDzgAuD6mhetmplJP0TEASMzKUdnVK4A/rUOZasGZnhtuB04ICL2jogWhnvhgZoXrZqYYS8Qw5uhExHHMLw3oX9PqCm0FV2AVCL7Mrz56DNjjj8DHDj6JCKuB04GuiPiCeCtmXn7RMfrU7qqbEa9ULcqVS8zvTYsYPgfl2+rU72qnan0wquBdwL3Vuw78juZeV9E/CGwiuEfDH7KO7DNetPuB2AucPXIN6gBXJmZ99a8YtXKTK8NfwL8lOFeuCEzf1D7klUjM+oF4Lsj+0ttA97nRvhqFgZT0kuN3fMjKo9l5rh3UZrouGa1afVCxetfrkFNKs50rw0vAO4d01gm7IXMvIkJZqRn5veB79e2NBVgWv2Ay7Ua0XSvDdcB19W2NNXZdHvBVRpqSi7lk35tAzBIxQyIEfvz0p96qLHZC6pkP2iUvaBK9oNG2QsaZS9I02AwJY3IzB3AamDsnVDOA16yWakal72gSvaDRtkLqmQ/aJS9oFH2gjQ9LuVTU4mIHuCoikOHR8RSYGNmPgZ8BvhaRNwB3MLw7VsPBb5Q71pVW/aCKtkPGmUvqJL9oFH2gkbZC1L1RebY5a9S44qI1zC88exYX8nMC0fGXAz8EXAQsAb4D5n50zqVqDqxF1TJftAoe0GV7AeNshc0yl6Qqs9gSpIkSZIkSYVwjylJkiRJkiQVwmBKkiRJkiRJhTCYkiRJkiRJUiEMpiRJkiRJklQIgylJkiRJkiQVwmBKkiRJkiRJhTCYkiRJkiRJUiEMpiRJkiRJklQIgylJkiRJkiQVwmBKkiRJkiRJhTCYkiRJkiRJUiEMpiRJUt1FxMKIeDYiDqvyeb8VER+p5jklSZJUOwZTkiSpCJcC12bmutEDEfHliPju2IER8ZqIyIjYawrn/TjwpxExv1qFSpIkqXYMpiRJUl1FRCfwe8CXqn3uzLwXWAf8VrXPLUmSpOozmJIkSXskIq6LiK9UPH9tRDwfEW1TPMVvAAOZecs0PvuwkdlTYx83Vgz7PvDuPT23JEmS6s9gSpIk7an1wMsrnq8C2oFXT/H9K4A7pvnZjwMHVTxOAp4Hflox5jbg1Ihon+ZnSJIkqU6m+pNNSZKkUeuBM0efZGZGRB+w3xTffxjw5ASvvTEito451lrxWYPA0wAR0QF8F7gF+NiY+tqBA4FfTrEmSZIkFcBgSpIk7akXzZiKiKXA3sDNU3x/J9A3wWurgIvGHDsN+Po4Y68G5gHnZeZQxfHtI792TbEeSZIkFcRgSpIk7an1QM/Ine+2Ap8F/i4zJ5oFNdYGhoOs8WzLzIcrD0TEwWMHRcRHgdcDp2bmljEv7zPy63NTrEeSJEkFMZiSJEl7av3IrwcD72N4r6c378H77wJ+e7ofHhFvAy4DfiMzfzHOkCXAE5m5YbqfIUmSpPpw83NJkrSnRoOpvwDeBpybmZv34P3XA8dHxESzpiYUEUuArwL/Hbg/Ig4ceexTMews4IY9PbckSZLqz2BKkiTtqQ1AP7AIWJGZ63cz/kUy8z6G78r3m9P47OUM7x31UeCpise3YdeG6G8F/nYa55YkSVKdRWYWXYMkSWoyEXEB8GlgyZiNy2d63pXAmzPzddU6pyRJkmrHPaYkSVLdZeY/RsTRDN/d7/Eqnnon8O+qeD5JkiTVkDOmJEmSJEmSVAj3mJIkSZIkSVIhDKYkSZIkSZJUCIMpSZIkSZIkFcJgSpIkSZIkSYUwmJIkSZIkSVIhDKYkSZIkSZJUCIMpSZIkSZIkFcJgSpIkSZIkSYUwmJIkSZIkSVIhDKYkSZIkSZJUCIMpSZIkSZIkFcJgSpIkSZIkSYUwmJIkSZIkSVIhDKYkSZIkSZJUCIMpSZIkSZIkFcJgSpIkSZIkSYUwmBpHRFwaEbdHxJaIeDYivhsRxxRdlyRJkiRJUiMxmBrf2cBVwOnAeUAbcENEdBdalSRJkiRJUgOJzCy6htKLiP2AZ4GzM/OnE4xpB9rHHN4H2Fjj8iRJkiRJzWUe8GT6Db0aQFvRBcwSC0Z+nSxkuhS4vA61SJIkSZJ0MLC+6CKkmXLG1G5ERADfA/bOzLMmGTd2xtQ84InHH3+c+fPn17hKSZIkSVIz2Lx5M4cccgjAgszcXHQ90kw5Y2r3rgROBM6cbFBm9gP9o8+H8yyYP3++wZQkSZIkSdI4DKYmERGfA94ErMjMJ4quR5IkSZIkqZEYTI1jZPne54C3Aq/JzEcLLkmSJEmSJKnhGEyN7yrgPcCbgS0RceDI8Rcyc3txZUmSJEmSJDWOlqILKKmLGL4T343AUxWPdxZYkyRJkiRJUkNxxtQ4MjOKrkGSJEmSJKnROWNKkiRJkiRJhTCYkiRJkiRJUiEMpiRJkiRJklQIgylJkiRJkiQVwmBKkiRJkiRJhTCYkiRJkiRJUiEMpiRJkiRJklQIgylJkiRJkiQVwmBKkiRJkiRJhTCYkiRJkiRJUiEMpiRJkiRJklQIgylJkiRJkiQVwmBKkiRJkiRJhTCYkiRJkiRJUiEMpiRJkiRJklQIgylJkiRJkiQVwmBKkiRJkiRJhTCYkiRJkiRJUiEMpiRJkiRJklQIg6kJRMSKiLg2Ip6MiIyItxRdkyRJkiRJUiMxmJpYN3AP8KGiC5EkSZIkSWpEbUUXUFaZeR1wHUBE7HZ8RLQD7RWH5tWmMkmSJEmSpMbgjKnquRR4oeLxRLHlSJIkSZIklZvBVPV8AlhQ8Ti42HIkSZIkSZLKzaV8VZKZ/UD/6POpLP+TJEmSJElqZs6YkiRJkiRJUiEMpiRJkiRJklQIl/JNICJ6gKMqDh0eEUuBjZn5WDFVSZIkSZIkNQ6DqYktB1ZVPP/MyK9fAS6sezWSJEmSJEkNxmBqApl5I+AO5pIkSZIkSTXiHlOSJEmSJEkqhMGUJEmSJEmSCmEwJUmSJEmSpEIYTEmSJEmSJKkQBlOSJEmSJEkqhMGUJEmSJEmSCmEwJUmSJEmSpEIYTEmSJEmSJKkQBlOSJEmSJEkqhMGUJEmSJEmSCmEwJUmSJEmSpEIYTEmSJEmSJKkQBlOSJEmSJEkqhMGUJEmSJEmSCmEwJUmSJEmSpEIYTEmSJEmSJKkQpQ+mIqIzIroqni+KiA9HxOuKrEuSJEmSJEkzU/pgCvge8LsAEbEXcCvwh8D3IuKiAuuSJEmSJEnSDMyGYOpk4Gcjv3878AywiOGw6t8XVZQkSZIkSZJmZjYEU13AlpHfvw74dmYOAf/CcEBVMxFxcUQ8GhF9EbE6Is6q5edJkiRJkiQ1k9kQTD0MvCUiDgHOB24YOb4/sLlWHxoR7wT+ErgCOInhWVvXRcShtfpMSZIkSZKkZhKZWXQNk4qItwP/E2gFfpyZ540cvxRYkZm/UaPPvRW4MzMvqjj2APDdzLx0Cu+fD7zw5JNPMn/+/Je83traSkdHx67n27Ztm/BcLS0tdHZ2Tmtsb28vE/0ZRwRdXV3TGrt9+3aGhoYmrKO7u3taY/v6+hgcHKzK2K6uLiICgP7+fgYGBqoytrOzk5aW4Ux3x44d7Ny5sypjOzo6aG1t3eOxO3fuZMeOHROObW9vp62tbY/HDgwM0N/fP+HYuXPnMmfOnD0eOzg4SF9f34Rj58yZw9y5c/d47NDQENu3b6/K2La2Ntrb2wHITHp7e6sydk/+v/caMf5YrxFeI7xG7PlYrxHTG+s1YpjXiD0f6zVimNeI6Y2dyv/3mzdv5mUvexnAgsys2WQNqW4ys/QP4ECGZy21VBw7FTi2Rp83FxgA3jrm+F8BP5ngPe3A/IrHy4Gc6HHBBRdkpa6urgnHnn322S8au++++044dvny5S8au2jRognHLl68+EVjFy9ePOHYRYsWvWjs8uXLJxy77777vmjs2WefPeHYrq6uF4294IILJhw73K6/9va3v33SsVu3bt019r3vfe+kY5999tldYy+++OJJxz766KO7xl5yySWTjl2zZs2usZdffvmkY2+77bZdYz/1qU9NOnbVqlW7xl555ZWTjv3BD36wa+w111wz6dhvfvObu8Z+85vfnHTsNddcs2vsD37wg0nHXnnllbvGrlq1atKxn/rUp3aNve222yYde/nll+8au2bNmknHXnLJJbvGPvroo5OOvfjii3eNffbZZycd+973vnfX2K1bt0469u1vf/uLeniysV4jhh9eI3798Box/PAaMfzwGjH88Brx64fXiOGH14jhh9eI4UejXyOA+VmC79d9+JjpYzYs5SMzn2Z4n6nzImI0or89Mx+s0Ufuy/AMrWfGHH+G4ZBsPJcCL1Q8nqhRbZIkSZIkSQ1hNizlWwh8EziH4VT46Mx8JCKuBn6VmX9Yg898GbAeOCMzb6k4/qfA72TmseO8p53hWVOj5gFPuJSvOafXTmesU/CHOQV/z8d6jZjeWK8Rw7xG7PlYrxHDvEZMb6zXiGFeI/Z8rNeIX2v2a4RL+dRoZkMw9VWGNzp/P/AA8MqRYOp1wGcz8/gafOZcoBd4R2Z+p+L4XwFLM/PsKZxjPvDCCy+8MG4wJUmSJEnSntq8eTMLFiwAgyk1iNmwlO91wH/KzLFL4x4CFtXiAzNzB7AaOG/MS+cBN9fiMyVJkiRJkppNW9EFTEE3w7OXxtoXmHjO78x9BvhaRNwB3AL8PnAo8IUafqYkSZIkSVLTmA3B1E+B3wX+88jzjIgW4D8Cq2r1oZn5jZH9rS4DDgLWABdk5i9r9ZmSJEmSJEnNZDYEU5cAP4mI5cBc4FPA8cA+wKtr+cGZ+Xng87X8DEmSJEmSpGZV6j2mImIOw8HQm4DbgH9ieGnft4GTMvMXBZYnSZIkSZKkGSj1jKnM3BkRS4DnM/PyouuRJEmSJElS9ZR6xtSIrwK/V3QRkiRJkiRJqq5Sz5gaMRd4f0ScB9wBbKt8MTM/UkhVkiRJkiRJmpHZEEwtAe4c+f0rxryWda5FkiRJkiRJVVL6YCozzym6BkmSJEmSJFXfbNhjSpIkSZIkSQ3IYEqSJEmSJEmFMJiSJEmSJElSIQymJEmSJEmSVAiDKUmSJEmSJBXCYEqSJEmSJEmFMJiSJEmSJElSIQymJEmSJEmSVAiDKUmSJEmSJBXCYEqSJEmSJEmFMJiSJEmSJElSIQymJEmSJEmSVAiDKUmSJEmSJBXCYGocEfGnEXFzRPRGxK+KrkeSJEmSJKkRGUyNby7wD8DfFF2IJEmSJElSo2oruoAyyszLASLiwoJLkSRJkiRJalgGU1USEe1Ae8WheUXVIkmSJEmSNBu4lK96LgVeqHg8UWw5kiRJkiRJ5dY0wVREfCwicjeP5TP4iE8ACyoeB1elcEmSJEmSpAbVTEv5rgT+fjdj1k335JnZD/SPPo+I6Z5KkiRJkiSpKTRNMJWZG4ANRdchSZIkSZKkYU0TTO2JiDgU2Ac4FGiNiKUjLz2cmVsLK0ySJEmSJKmBGEyN7+PAeyue3zXy6znAjXWvRpIkSZIkqQE1zebneyIzL8zMGOdxY9G1SZIkSZIkNQqDKUmSJEmSJBXCYEqSJEmSJEmFMJiSJEmSJElSIQymJEmSJEmSVAiDKUmSJEmSJBXCYEqSJEmSJEmFMJiSJEmSJElSIQymJEmSJEmSVAiDKUmSJEmSJBXCYEqSJEmSJEmFMJiSJEmSJElSIQymJEmSJEmSVAiDKUmSJEmSJBXCYEqSJEmSJEmFMJiSJEmSJElSIQymJEmSJEmSVAiDKUmSJEmSJBXCYEqSJEmSJEmFMJiSJEmSJElSIQymJEmSJEmSVAiDqTEi4rCIuDoiHo2I7RHxi4j4s4iYW3RtkiRJkiRJjaSt6AJK6FiGA7sPAg8DS4C/BbqBSwqsS5IkSZIkqaEYTI2Rmf8b+N8Vhx6JiGOAi5gkmIqIdqC94tA8gM2bN9eiTEmSJElSE/J7TDUag6mpWQBs3M2YS4HLxx485JBDalKQJEmSJKmpzQNMqTTrRWYWXUOpRcSRwJ3AH2bmlyYZN3bGFMA+7D7QUvnNA54ADga2FFyLimUvqJL9oFH2gkbZC6pkP2hULXphHvBk+g29GkDTzJiKiI8xzoymMU7JzDsq3vMyhpf1/cNkoRRAZvYD/WMOm143gIgY/e2WzPTPtInZC6pkP2iUvaBR9oIq2Q8aVaNesKfUMJommAKuBP5+N2PWjf5mJJRaBdwC/H7typIkSZIkSWpOTRNMZeYGYMNUxkbEyxkOpVYD78vMoVrWJkmSJEmS1IyaJpiaqpGZUjcCjzF8F779RqdeZubTxVWmAvUDf8ZLl2qq+dgLqmQ/aJS9oFH2girZDxplL0iTcPPzMSLiQuCa8V7LzBjvuCRJkiRJkvacwZQkSZIkSZIK0VJ0AZIkSZIkSWpOBlOSJEmSJEkqhMGUJEmSJEmSCmEwJUmSJEmSpEIYTEl7KCK+ExGbIuJbUzmuxjXZn3lEdEXELyPi00XUpvobrx8i4piIuLvisT0i3lJgmaqxiDgkIm6MiLURcW9EvKPitTdGxL9GxEMR8f4i61R9TNQPETEvIm4fuS7cFxEfKLpW1dZurg2HR8Sqkdfui4juImtVbe2mFy6JiPsjYk1E/HaRdUr15F35pD0UEecAPcB7M/PtuzuuxjXZn3lEXAEcDTyWmZcUUZ/qa3fXgIjoAdYBizJzW53LU51ExEHAAZl5d0TsD9wJHAP0A2uBc4DNI8dPy8yNhRWrmpukH/qA9szsjYguYA1wSmY+X2C5qqGJeiEzt0XET4CPZubPImIfYHNmDhRasGpmkuvCEcBXgDNGhv4IeENm/qqQQqU6csaUtIcycxWwZarH1bgm+jOPiKOBY4F/rHtRKswUrgFvAn5kKNXYMvOpzLx75PfPAhuBfYBTgfszc31mbmH4+nB+YYWqLibqh8wczMzekWEdQCsQxVSpepioFyLieGBnZv5s5LWNhlKNbZK/J44Dbs7MvszsA+4GXl9UnVI9GUypqUTEioi4NiKejIgcb0lNRFwcEY9GRF9ErI6IswooVTVW4174NHBpVQtWTdXp2vCbwDeqUrBqppq9EBHLgZbMfBx4GbC+4uUngJfX4mtQ9dSwH4iIvSLiHoZ74VOZuaGWX4tmpoa9cDSwNSK+HxF3RsSf1PYr0UzVsBfWAOeMXBv2Al6Lf0+oSRhMqdl0A/cAHxrvxYh4J/CXwBXAScDPgOsi4tB6Fai6qUkvRMSbgZ9n5s+rWq1qrabXhoiYD7waZ9HNBlXphYhYCHwV+P3RQ+Oczv0Uyq9W/UBm/iozXwkcDrwnIg6oxRegqqlVL8wBzgJWAq8CzouI82pQv6qnJr2QmWuBvwZ+DHwHuB1w9pyagsGUmkpmXpeZH83Mb08w5CPA1Zn5pcx8IDM/DDwOXFS3IlUXNeyF04F3RcQ6hmdOfSAiLqtW3aqNOlwb3gxcPzI1XyVWjV6IiHaGv6n4RGbePHJ4PS/+yffBwFNV/wJUVTXsh8rPeAa4F1hR9S9AVVPDXngCuD0zH8/MfoZ/gLG0Vl+HZq6W14XM/GJmnpyZ5wA7gIdr9oVIJWIwJY2IiLnAMuCGMS/dwK83IVQTmEkvZOalmXlIZh4GXAL8bWZ+vCaFqi6qdG1wGV8DmEovREQAXwZ+nJlfqxhzG7AkIl4eEfOAC4Dra160amYm/RARB4zMpBydUbkC+Nc6lK0amOG14XbggIjYOyJaGO6FB2petGpihr1ADG+GTkQcw/DehP49oabQVnQBUonsy/Dmo8+MOf4McODok4i4HjgZ6I6IJ4C3ZubtEx2vT+mqshn1Qt2qVL3M9NqwgOF/XL6tTvWqdqbSC68G3gncW7HvyO9k5n0R8YfAKoZ/MPgp78A26027H4C5wNUj36AGcGVm3lvzilUrM702/AnwU4Z74YbM/EHtS1aNzKgXgO+O7C+1DXifG+GrWRhMSS81ds+PqDyWmePeRWmi45rVptULFa9/uQY1qTjTvTa8ALh3TGOZsBcy8yYmmJGemd8Hvl/b0lSAafUDLtdqRNO9NlwHXFfb0lRn0+0FV2moKbmUT/q1DcAgFTMgRuzPS3/qocZmL6iS/aBR9oIq2Q8aZS9olL0gTYPBlDQiM3cAq4Gxd0I5D3jJZqVqXPaCKtkPGmUvqJL9oFH2gkbZC9L0uJRPTSUieoCjKg4dHhFLgY2Z+RjwGeBrEXEHcAvDt289FPhCvWtVbdkLqmQ/aJS9oEr2g0bZCxplL0jVF5ljl79KjSsiXsPwxrNjfSUzLxwZczHwR8BBwBrgP2TmT+tUourEXlAl+0Gj7AVVsh80yl7QKHtBqj6DKUmSJEmSJBXCPaYkSZIkSZJUCIMpSZIkSZIkFcJgSpIkSZIkSYUwmJIkSZIkSVIhDKYkSZIkSZJUCIMpSZIkSZIkFcJgSpIkSZIkSYUwmJIkSZIkSVIhDKYkSZIkSZJUCIMpSZIkSZIkFcJgSpIkSZIkSYUwmJIkSXUXEQsj4tmIOKzK5/1WRHykmueUJElS7RhMSZKkIlwKXJuZ60YPRMSXI+K7YwdGxGsiIiNirymc9+PAn0bE/GoVKkmSpNoxmJIkSXUVEZ3A7wFfqva5M/NeYB3wW9U+tyRJkqrPYEqSJO2RiLguIr5S8fy1EfF8RLRN8RS/AQxk5i3T+OzDRmZPjX3cWDHs+8C79/TckiRJqj+DKUmStKfWAy+veL4KaAdePcX3rwDumOZnPw4cVPE4CXge+GnFmNuAUyOifZqfIUmSpDqZ6k82JUmSRq0Hzhx9kpkZEX3AflN8/2HAkxO89saI2DrmWGvFZw0CTwNERAfwXeAW4GNj6msHDgR+OcWaJEmSVACDKUmStKdeNGMqIpYCewM3T/H9nUDfBK+tAi4ac+w04OvjjL0amAecl5lDFce3j/zaNcV6JEmSVBCDKUmStKfWAz0jd77bCnwW+LvMnGgW1FgbGA6yxrMtMx+uPBARB48dFBEfBV4PnJqZW8a8vM/Ir89NsR5JkiQVxGBKkiTtqfUjvx4MvI/hvZ7evAfvvwv47el+eES8DbgM+I3M/MU4Q5YAT2Tmhul+hiRJkurDzc8lSdKeGg2m/gJ4G3BuZm7eg/dfDxwfERPNmppQRCwBvgr8d+D+iDhw5LFPxbCzgBv29NySJEmqP4MpSZK0pzYA/cAiYEVmrt/N+BfJzPsYvivfb07js5czvHfUR4GnKh7fhl0bor8V+NtpnFuSJEl1FplZdA2SJKnJRMQFwKeBJWM2Lp/peVcCb87M11XrnJIkSaod95iSJEl1l5n/GBFHM3x3v8ereOqdwL+r4vkkSZJUQ86YkiRJkiRJUiHcY0qSJEmSJEmFMJiSJEmSJElSIQymJEmSJEmSVAiDKUmSJEmSJBXCYEqSJEmSJEmFMJiSJEmSJElSIQymJEmSJEmSVAiDKUmSJEmSJBXCYEqSJEmSJEmF+L8R9CSuCamcTwAAAABJRU5ErkJggg==\n",
      "text/plain": [
       "<Figure size 1200x800 with 2 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "my_shape.IC_fit(fit_range=[23.,29.],minimizer='minuit',silent=True)\n",
    "p=my_shape.plot_shape_fit()\n",
    "p.setlim(y_min=1E-15)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Model constraining"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "In this step we are not fitting the model, we are just obtaining the phenomenological `pre_fit` model, that will be fitted in using minuit ore least-square bound, as shown below"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "================================================================================\n",
      "\n",
      "***  constrains parameters from observable ***\n",
      "\n"
     ]
    },
    {
     "data": {
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       "<thead><tr><th>model name</th><th>name</th><th>par type</th><th>units</th><th>val</th><th>phys. bound. min</th><th>phys. bound. max</th><th>log</th><th>frozen</th></tr></thead>\n",
       "<tr><td>jet_leptonic</td><td>R</td><td>region_size</td><td>cm</td><td>1.056958e+16</td><td>1.000000e+03</td><td>1.000000e+30</td><td>False</td><td>False</td></tr>\n",
       "<tr><td>jet_leptonic</td><td>R_H</td><td>region_position</td><td>cm</td><td>1.000000e+17</td><td>0.000000e+00</td><td>--</td><td>False</td><td>True</td></tr>\n",
       "<tr><td>jet_leptonic</td><td>B</td><td>magnetic_field</td><td>gauss</td><td>5.050000e-02</td><td>0.000000e+00</td><td>--</td><td>False</td><td>False</td></tr>\n",
       "<tr><td>jet_leptonic</td><td>beam_obj</td><td>beaming</td><td>lorentz-factor*</td><td>2.500000e+01</td><td>1.000000e-04</td><td>--</td><td>False</td><td>False</td></tr>\n",
       "<tr><td>jet_leptonic</td><td>z_cosm</td><td>redshift</td><td></td><td>3.360000e-02</td><td>0.000000e+00</td><td>--</td><td>False</td><td>False</td></tr>\n",
       "<tr><td>jet_leptonic</td><td>gmin</td><td>low-energy-cut-off</td><td>lorentz-factor*</td><td>4.703917e+02</td><td>1.000000e+00</td><td>1.000000e+09</td><td>False</td><td>False</td></tr>\n",
       "<tr><td>jet_leptonic</td><td>gmax</td><td>high-energy-cut-off</td><td>lorentz-factor*</td><td>2.310708e+06</td><td>1.000000e+00</td><td>1.000000e+15</td><td>False</td><td>False</td></tr>\n",
       "<tr><td>jet_leptonic</td><td>N</td><td>emitters_density</td><td>1 / cm3</td><td>7.087120e+00</td><td>0.000000e+00</td><td>--</td><td>False</td><td>False</td></tr>\n",
       "<tr><td>jet_leptonic</td><td>gamma0_log_parab</td><td>turn-over-energy</td><td>lorentz-factor*</td><td>1.045836e+04</td><td>1.000000e+00</td><td>1.000000e+09</td><td>False</td><td>False</td></tr>\n",
       "<tr><td>jet_leptonic</td><td>s</td><td>LE_spectral_slope</td><td></td><td>2.248787e+00</td><td>-1.000000e+01</td><td>1.000000e+01</td><td>False</td><td>False</td></tr>\n",
       "<tr><td>jet_leptonic</td><td>r</td><td>spectral_curvature</td><td></td><td>3.205571e-01</td><td>-1.500000e+01</td><td>1.500000e+01</td><td>False</td><td>False</td></tr>\n",
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     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n",
      "================================================================================\n",
      "\n"
     ]
    }
   ],
   "source": [
    "from jetset.obs_constrain import ObsConstrain\n",
    "from jetset.model_manager import  FitModel\n",
    "sed_obspar=ObsConstrain(beaming=25,\n",
    "                        B_range=[0.001,0.1],\n",
    "                        distr_e='lppl',\n",
    "                        t_var_sec=3*86400,\n",
    "                        nu_cut_IR=1E12,\n",
    "                        SEDShape=my_shape)\n",
    "\n",
    "\n",
    "prefit_jet=sed_obspar.constrain_SSC_model(electron_distribution_log_values=False,silent=True)\n",
    "prefit_jet.save_model('prefit_jet.pkl')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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      "text/plain": [
       "<Figure size 1200x800 with 2 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "pl=prefit_jet.plot_model(sed_data=sed_data)\n",
    "pl.add_model_residual_plot(prefit_jet,sed_data)\n",
    "pl.setlim(y_min=1E-15,x_min=1E7,x_max=1E29)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Model fitting with Sherpa\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {},
   "outputs": [],
   "source": [
    "from jetset.template_2Dmodel import EBLAbsorptionTemplate\n",
    "ebl_franceschini=EBLAbsorptionTemplate.from_name('Franceschini_2008')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<i>Table length=11</i>\n",
       "<table id=\"table140536020501936-263157\" class=\"table-striped table-bordered table-condensed\">\n",
       "<thead><tr><th>model name</th><th>name</th><th>par type</th><th>units</th><th>val</th><th>phys. bound. min</th><th>phys. bound. max</th><th>log</th><th>frozen</th></tr></thead>\n",
       "<tr><td>jet_leptonic</td><td>gmin</td><td>low-energy-cut-off</td><td>lorentz-factor*</td><td>4.703917e+02</td><td>1.000000e+00</td><td>1.000000e+09</td><td>False</td><td>False</td></tr>\n",
       "<tr><td>jet_leptonic</td><td>gmax</td><td>high-energy-cut-off</td><td>lorentz-factor*</td><td>2.310708e+06</td><td>1.000000e+00</td><td>1.000000e+15</td><td>False</td><td>False</td></tr>\n",
       "<tr><td>jet_leptonic</td><td>N</td><td>emitters_density</td><td>1 / cm3</td><td>7.087120e+00</td><td>0.000000e+00</td><td>--</td><td>False</td><td>False</td></tr>\n",
       "<tr><td>jet_leptonic</td><td>gamma0_log_parab</td><td>turn-over-energy</td><td>lorentz-factor*</td><td>1.045836e+04</td><td>1.000000e+00</td><td>1.000000e+09</td><td>False</td><td>False</td></tr>\n",
       "<tr><td>jet_leptonic</td><td>s</td><td>LE_spectral_slope</td><td></td><td>2.248787e+00</td><td>-1.000000e+01</td><td>1.000000e+01</td><td>False</td><td>False</td></tr>\n",
       "<tr><td>jet_leptonic</td><td>r</td><td>spectral_curvature</td><td></td><td>3.205571e-01</td><td>-1.500000e+01</td><td>1.500000e+01</td><td>False</td><td>False</td></tr>\n",
       "<tr><td>jet_leptonic</td><td>R</td><td>region_size</td><td>cm</td><td>1.056958e+16</td><td>1.000000e+03</td><td>1.000000e+30</td><td>False</td><td>False</td></tr>\n",
       "<tr><td>jet_leptonic</td><td>R_H</td><td>region_position</td><td>cm</td><td>1.000000e+17</td><td>0.000000e+00</td><td>--</td><td>False</td><td>True</td></tr>\n",
       "<tr><td>jet_leptonic</td><td>B</td><td>magnetic_field</td><td>gauss</td><td>5.050000e-02</td><td>0.000000e+00</td><td>--</td><td>False</td><td>False</td></tr>\n",
       "<tr><td>jet_leptonic</td><td>beam_obj</td><td>beaming</td><td>lorentz-factor*</td><td>2.500000e+01</td><td>1.000000e-04</td><td>--</td><td>False</td><td>False</td></tr>\n",
       "<tr><td>jet_leptonic</td><td>z_cosm</td><td>redshift</td><td></td><td>3.360000e-02</td><td>0.000000e+00</td><td>--</td><td>False</td><td>False</td></tr>\n",
       "</table><style>table.dataTable {clear: both; width: auto !important; margin: 0 !important;}\n",
       ".dataTables_info, .dataTables_length, .dataTables_filter, .dataTables_paginate{\n",
       "display: inline-block; margin-right: 1em; }\n",
       ".paginate_button { margin-right: 5px; }\n",
       "</style>\n",
       "<script>\n",
       "\n",
       "var astropy_sort_num = function(a, b) {\n",
       "    var a_num = parseFloat(a);\n",
       "    var b_num = parseFloat(b);\n",
       "\n",
       "    if (isNaN(a_num) && isNaN(b_num))\n",
       "        return ((a < b) ? -1 : ((a > b) ? 1 : 0));\n",
       "    else if (!isNaN(a_num) && !isNaN(b_num))\n",
       "        return ((a_num < b_num) ? -1 : ((a_num > b_num) ? 1 : 0));\n",
       "    else\n",
       "        return isNaN(a_num) ? -1 : 1;\n",
       "}\n",
       "\n",
       "require.config({paths: {\n",
       "    datatables: 'https://cdn.datatables.net/1.10.12/js/jquery.dataTables.min'\n",
       "}});\n",
       "require([\"datatables\"], function(){\n",
       "    console.log(\"$('#table140536020501936-263157').dataTable()\");\n",
       "    \n",
       "jQuery.extend( jQuery.fn.dataTableExt.oSort, {\n",
       "    \"optionalnum-asc\": astropy_sort_num,\n",
       "    \"optionalnum-desc\": function (a,b) { return -astropy_sort_num(a, b); }\n",
       "});\n",
       "\n",
       "    $('#table140536020501936-263157').dataTable({\n",
       "        order: [],\n",
       "        pageLength: 100,\n",
       "        lengthMenu: [[10, 25, 50, 100, 500, 1000, -1], [10, 25, 50, 100, 500, 1000, 'All']],\n",
       "        pagingType: \"full_numbers\",\n",
       "        columnDefs: [{targets: [4, 5, 6], type: \"optionalnum\"}]\n",
       "    });\n",
       "});\n",
       "</script>\n"
      ],
      "text/plain": [
       "<IPython.core.display.HTML object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "from jetset.jet_model import Jet\n",
    "prefit_jet=Jet.load_model('prefit_jet.pkl')\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "==> par: z_cosm from model: Franceschini_2008 linked to same parameter in model jet_leptonic\n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "<jetset.plot_sedfit.PlotSED at 0x7fd117a0c5b0>"
      ]
     },
     "execution_count": 13,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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      "text/plain": [
       "<Figure size 1200x800 with 2 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "composite_model=FitModel(nu_size=500,name='EBL corrected',template=my_shape.host_gal)\n",
    "composite_model.add_component(prefit_jet)\n",
    "composite_model.add_component(ebl_franceschini)\n",
    "composite_model.link_par(par_name='z_cosm', from_model='Franceschini_2008', to_model='jet_leptonic')\n",
    "composite_model.composite_expr='(jet_leptonic+host_galaxy)*Franceschini_2008'\n",
    "composite_model.eval()\n",
    "composite_model.plot_model()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {},
   "outputs": [],
   "source": [
    "composite_model.freeze('jet_leptonic','z_cosm')\n",
    "composite_model.freeze('jet_leptonic','R_H')\n",
    "composite_model.jet_leptonic.parameters.beam_obj.fit_range=[5., 50.]\n",
    "composite_model.jet_leptonic.parameters.R.fit_range=[10**15.5,10**17.5]\n",
    "composite_model.jet_leptonic.parameters.gmax.fit_range=[1E5,1E7]\n",
    "composite_model.host_galaxy.parameters.nuFnu_p_host.frozen=False\n",
    "composite_model.host_galaxy.parameters.nu_scale.frozen=True"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "filtering data in fit range = [1.000000e+11,1.000000e+29]\n",
      "data length 31\n",
      "================================================================================\n",
      "\n",
      "*** start fit process ***\n",
      "----- \n"
     ]
    },
    {
     "data": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "34dfcd59a16449319acc664aada0c7b9",
       "version_major": 2,
       "version_minor": 0
      },
      "text/plain": [
       "0it [00:00, ?it/s]"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "jetset model name R renamed to  R_sh due to sherpa internal naming convention\n",
      "- best chisq=8.05341e+00\n",
      "\n",
      "-------------------------------------------------------------------------\n",
      "Fit report\n",
      "\n",
      "Model: SSC-best-fit-sherpa\n"
     ]
    },
    {
     "data": {
      "text/html": [
       "<i>Table length=14</i>\n",
       "<table id=\"table140536021303600-657892\" class=\"table-striped table-bordered table-condensed\">\n",
       "<thead><tr><th>model name</th><th>name</th><th>par type</th><th>units</th><th>val</th><th>phys. bound. min</th><th>phys. bound. max</th><th>log</th><th>frozen</th></tr></thead>\n",
       "<tr><td>host_galaxy</td><td>nuFnu_p_host</td><td>nuFnu-scale</td><td>erg / (cm2 s)</td><td>-1.006056e+01</td><td>-2.000000e+01</td><td>2.000000e+01</td><td>False</td><td>False</td></tr>\n",
       "<tr><td>host_galaxy</td><td>nu_scale</td><td>nu-scale</td><td>Hz</td><td>1.730750e-02</td><td>-2.000000e+00</td><td>2.000000e+00</td><td>False</td><td>True</td></tr>\n",
       "<tr><td>jet_leptonic</td><td>gmin</td><td>low-energy-cut-off</td><td>lorentz-factor*</td><td>2.556574e+02</td><td>1.000000e+00</td><td>1.000000e+09</td><td>False</td><td>False</td></tr>\n",
       "<tr><td>jet_leptonic</td><td>gmax</td><td>high-energy-cut-off</td><td>lorentz-factor*</td><td>2.077993e+06</td><td>1.000000e+00</td><td>1.000000e+15</td><td>False</td><td>False</td></tr>\n",
       "<tr><td>jet_leptonic</td><td>N</td><td>emitters_density</td><td>1 / cm3</td><td>8.512524e+00</td><td>0.000000e+00</td><td>--</td><td>False</td><td>False</td></tr>\n",
       "<tr><td>jet_leptonic</td><td>gamma0_log_parab</td><td>turn-over-energy</td><td>lorentz-factor*</td><td>5.659107e+03</td><td>1.000000e+00</td><td>1.000000e+09</td><td>False</td><td>False</td></tr>\n",
       "<tr><td>jet_leptonic</td><td>s</td><td>LE_spectral_slope</td><td></td><td>2.208208e+00</td><td>-1.000000e+01</td><td>1.000000e+01</td><td>False</td><td>False</td></tr>\n",
       "<tr><td>jet_leptonic</td><td>r</td><td>spectral_curvature</td><td></td><td>2.145295e-01</td><td>-1.500000e+01</td><td>1.500000e+01</td><td>False</td><td>False</td></tr>\n",
       "<tr><td>jet_leptonic</td><td>R</td><td>region_size</td><td>cm</td><td>1.449139e+16</td><td>1.000000e+03</td><td>1.000000e+30</td><td>False</td><td>False</td></tr>\n",
       "<tr><td>jet_leptonic</td><td>R_H</td><td>region_position</td><td>cm</td><td>1.000000e+17</td><td>0.000000e+00</td><td>--</td><td>False</td><td>True</td></tr>\n",
       "<tr><td>jet_leptonic</td><td>B</td><td>magnetic_field</td><td>gauss</td><td>1.175386e-02</td><td>0.000000e+00</td><td>--</td><td>False</td><td>False</td></tr>\n",
       "<tr><td>jet_leptonic</td><td>beam_obj</td><td>beaming</td><td>lorentz-factor*</td><td>4.377160e+01</td><td>1.000000e-04</td><td>--</td><td>False</td><td>False</td></tr>\n",
       "<tr><td>jet_leptonic</td><td>z_cosm(M)</td><td>redshift</td><td></td><td>3.360000e-02</td><td>0.000000e+00</td><td>--</td><td>False</td><td>True</td></tr>\n",
       "<tr><td>Franceschini_2008</td><td>z_cosm(L,jet_leptonic)</td><td>redshift</td><td></td><td>--</td><td>--</td><td>--</td><td>False</td><td>True</td></tr>\n",
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       "\n",
       "    $('#table140536021303600-657892').dataTable({\n",
       "        order: [],\n",
       "        pageLength: 100,\n",
       "        lengthMenu: [[10, 25, 50, 100, 500, 1000, -1], [10, 25, 50, 100, 500, 1000, 'All']],\n",
       "        pagingType: \"full_numbers\",\n",
       "        columnDefs: [{targets: [4, 5, 6], type: \"optionalnum\"}]\n",
       "    });\n",
       "});\n",
       "</script>\n"
      ],
      "text/plain": [
       "<IPython.core.display.HTML object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n",
      "converged=True\n",
      "calls=328\n",
      "mesg=\n"
     ]
    },
    {
     "data": {
      "text/html": [
       "<style>/*\n",
       "Copyright (C) 2020  Smithsonian Astrophysical Observatory\n",
       "\n",
       "\n",
       " This program is free software; you can redistribute it and/or modify\n",
       " it under the terms of the GNU General Public License as published by\n",
       " the Free Software Foundation; either version 3 of the License, or\n",
       " (at your option) any later version.\n",
       "\n",
       " This program is distributed in the hope that it will be useful,\n",
       " but WITHOUT ANY WARRANTY; without even the implied warranty of\n",
       " MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the\n",
       " GNU General Public License for more details.\n",
       "\n",
       " You should have received a copy of the GNU General Public License along\n",
       " with this program; if not, write to the Free Software Foundation, Inc.,\n",
       " 51 Franklin Street, Fifth Floor, Boston, MA 02110-1301 USA.\n",
       "\n",
       "*/\n",
       "\n",
       ":root {\n",
       "  --sherpa-border-color: var(--jp-border-color2, #e0e0e0);\n",
       "  --sherpa-background-color: var(--jp-layout-color0, white);\n",
       "  --sherpa-background-color-row-even: var(--jp-layout-color1, white);\n",
       "  --sherpa-background-color-row-odd: var(--jp-layout-color2, #eeeeee);\n",
       "\n",
       "  /* https://medium.com/ge-design/iot-cool-gray-is-a-great-background-color-for-data-visualization-ebf18c318418 */\n",
       "  --sherpa-background-color-dark1: #EBEFF2;\n",
       "  --sherpa-background-color-dark2: #D8E0E5;\n",
       "}\n",
       "\n",
       "div.sherpa-text-fallback {\n",
       "    display: none;\n",
       "}\n",
       "\n",
       "div.sherpa {\n",
       "    display: block;\n",
       "}\n",
       "\n",
       "div.sherpa details summary {\n",
       "    display: list-item;  /* needed for notebook, not lab */\n",
       "    font-size: larger;\n",
       "}\n",
       "\n",
       "div.sherpa details div.datavals {\n",
       "    display: grid;\n",
       "    grid-template-columns: 1fr 3fr;\n",
       "    column-gap: 0.5em;\n",
       "}\n",
       "\n",
       "div.sherpa div.dataname {\n",
       "    font-weight: bold;\n",
       "    border-right: 1px solid var(--sherpa-border-color);\n",
       "}\n",
       "\n",
       "div.sherpa div.dataval { }\n",
       "\n",
       "div.sherpa div.datavals div:nth-child(4n + 1) ,\n",
       "div.sherpa div.datavals div:nth-child(4n + 2) {\n",
       "    background: var(--sherpa-background-color-row-odd);\n",
       "}\n",
       "\n",
       "div.sherpa table.model tbody {\n",
       "    border-bottom: 1px solid var(--sherpa-border-color);\n",
       "}\n",
       "\n",
       "div.sherpa table.model tr.block {\n",
       "    border-top: 1px solid var(--sherpa-border-color);\n",
       "}\n",
       "\n",
       "div.sherpa table.model th.model-odd ,\n",
       "div.sherpa table.model th.model-even {\n",
       "    border-right: 1px solid var(--sherpa-border-color);\n",
       "}\n",
       "\n",
       "div.sherpa table.model th.model-odd {\n",
       "    background: var(--sherpa-background-color-dark1);\n",
       "}\n",
       "\n",
       "div.sherpa table.model th.model-even {\n",
       "    background: var(--sherpa-background-color-dark2);\n",
       "}\n",
       "\n",
       "div.sherpa .failed {\n",
       "    background: orange;\n",
       "    font-size: large;\n",
       "    padding: 1em;\n",
       "}\n",
       "</style><div class=\"sherpa-text-fallback\">&lt;Fit results instance&gt;</div><div hidden class=\"sherpa\"><details open><summary>Fit parameters</summary><table class=\"fit\"><thead><tr><th>Parameter</th><th>Best-fit value</th><th>Approximate error</th></tr></thead><tbody><tr><td>EBL corrected.nuFnu_p_host</td><td>    -10.0606</td><td>&#177;    0.0521133</td></tr><tr><td>EBL corrected.gmin</td><td>     255.657</td><td>&#177;      294.461</td></tr><tr><td>EBL corrected.gmax</td><td> 2.07799e+06</td><td>&#177;            0</td></tr><tr><td>EBL corrected.N</td><td>     8.51252</td><td>&#177;      8.88032</td></tr><tr><td>EBL corrected.gamma0_log_parab</td><td>     5659.11</td><td>&#177;            0</td></tr><tr><td>EBL corrected.s</td><td>     2.20821</td><td>&#177;     0.163168</td></tr><tr><td>EBL corrected.r</td><td>    0.214529</td><td>&#177;    0.0609965</td></tr><tr><td>EBL corrected.R_sh</td><td> 1.44914e+16</td><td>&#177;            0</td></tr><tr><td>EBL corrected.B</td><td>   0.0117539</td><td>&#177;   0.00491693</td></tr><tr><td>EBL corrected.beam_obj</td><td>     43.7716</td><td>&#177;       11.429</td></tr></tbody></table></details><details><summary>Summary (10)</summary><div class=\"datavals\"><div class=\"dataname\">Method</div><div class=\"dataval\">levmar</div><div class=\"dataname\">Statistic</div><div class=\"dataval\">chi2</div><div class=\"dataname\">Final statistic</div><div class=\"dataval\">8.05341</div><div class=\"dataname\">Number of evaluations</div><div class=\"dataval\">324</div><div class=\"dataname\">Reduced statistic</div><div class=\"dataval\">0.383496</div><div class=\"dataname\">Probability (Q-value)</div><div class=\"dataval\">0.994914</div><div class=\"dataname\">Initial statistic</div><div class=\"dataval\">124.614</div><div class=\"dataname\">&#916; statistic</div><div class=\"dataval\">116.561</div><div class=\"dataname\">Number of data points</div><div class=\"dataval\">31</div><div class=\"dataname\">Degrees of freedom</div><div class=\"dataval\">21</div></div></details></div>"
      ],
      "text/plain": [
       "<Fit results instance>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "dof=21\n",
      "chisq=8.053410, chisq/red=0.383496 null hypothesis sig=0.994914\n",
      "\n",
      "best fit pars\n"
     ]
    },
    {
     "data": {
      "text/html": [
       "<i>Table length=14</i>\n",
       "<table id=\"table140536455120304-78273\" class=\"table-striped table-bordered table-condensed\">\n",
       "<thead><tr><th>model name</th><th>name</th><th>val</th><th>bestfit val</th><th>err +</th><th>err -</th><th>start val</th><th>fit range min</th><th>fit range max</th><th>frozen</th></tr></thead>\n",
       "<tr><td>host_galaxy</td><td>nuFnu_p_host</td><td>-1.006056e+01</td><td>-1.006056e+01</td><td>5.211328e-02</td><td>--</td><td>-1.006556e+01</td><td>-1.225412e+01</td><td>-8.254123e+00</td><td>False</td></tr>\n",
       "<tr><td>host_galaxy</td><td>nu_scale</td><td>1.730750e-02</td><td>--</td><td>--</td><td>--</td><td>1.730750e-02</td><td>-5.000000e-01</td><td>5.000000e-01</td><td>True</td></tr>\n",
       "<tr><td>jet_leptonic</td><td>gmin</td><td>2.556574e+02</td><td>2.556574e+02</td><td>2.944608e+02</td><td>--</td><td>4.703917e+02</td><td>1.000000e+00</td><td>1.000000e+09</td><td>False</td></tr>\n",
       "<tr><td>jet_leptonic</td><td>gmax</td><td>2.077993e+06</td><td>2.077993e+06</td><td>0.000000e+00</td><td>--</td><td>2.310708e+06</td><td>1.000000e+05</td><td>1.000000e+07</td><td>False</td></tr>\n",
       "<tr><td>jet_leptonic</td><td>N</td><td>8.512524e+00</td><td>8.512524e+00</td><td>8.880316e+00</td><td>--</td><td>7.087120e+00</td><td>0.000000e+00</td><td>--</td><td>False</td></tr>\n",
       "<tr><td>jet_leptonic</td><td>gamma0_log_parab</td><td>5.659107e+03</td><td>5.659107e+03</td><td>0.000000e+00</td><td>--</td><td>1.045836e+04</td><td>1.000000e+00</td><td>1.000000e+09</td><td>False</td></tr>\n",
       "<tr><td>jet_leptonic</td><td>s</td><td>2.208208e+00</td><td>2.208208e+00</td><td>1.631683e-01</td><td>--</td><td>2.248787e+00</td><td>-1.000000e+01</td><td>1.000000e+01</td><td>False</td></tr>\n",
       "<tr><td>jet_leptonic</td><td>r</td><td>2.145295e-01</td><td>2.145295e-01</td><td>6.099654e-02</td><td>--</td><td>3.205571e-01</td><td>-1.500000e+01</td><td>1.500000e+01</td><td>False</td></tr>\n",
       "<tr><td>jet_leptonic</td><td>R</td><td>1.449139e+16</td><td>1.449139e+16</td><td>0.000000e+00</td><td>--</td><td>1.056958e+16</td><td>3.162278e+15</td><td>3.162278e+17</td><td>False</td></tr>\n",
       "<tr><td>jet_leptonic</td><td>R_H</td><td>1.000000e+17</td><td>--</td><td>--</td><td>--</td><td>1.000000e+17</td><td>0.000000e+00</td><td>--</td><td>True</td></tr>\n",
       "<tr><td>jet_leptonic</td><td>B</td><td>1.175386e-02</td><td>1.175386e-02</td><td>4.916935e-03</td><td>--</td><td>5.050000e-02</td><td>0.000000e+00</td><td>--</td><td>False</td></tr>\n",
       "<tr><td>jet_leptonic</td><td>beam_obj</td><td>4.377160e+01</td><td>4.377160e+01</td><td>1.142901e+01</td><td>--</td><td>2.500000e+01</td><td>5.000000e+00</td><td>5.000000e+01</td><td>False</td></tr>\n",
       "<tr><td>jet_leptonic</td><td>z_cosm(M)</td><td>3.360000e-02</td><td>--</td><td>--</td><td>--</td><td>3.360000e-02</td><td>0.000000e+00</td><td>--</td><td>True</td></tr>\n",
       "<tr><td>Franceschini_2008</td><td>z_cosm(L,jet_leptonic)</td><td>3.360000e-02</td><td>--</td><td>--</td><td>--</td><td>--</td><td>0.000000e+00</td><td>--</td><td>True</td></tr>\n",
       "</table><style>table.dataTable {clear: both; width: auto !important; margin: 0 !important;}\n",
       ".dataTables_info, .dataTables_length, .dataTables_filter, .dataTables_paginate{\n",
       "display: inline-block; margin-right: 1em; }\n",
       ".paginate_button { margin-right: 5px; }\n",
       "</style>\n",
       "<script>\n",
       "\n",
       "var astropy_sort_num = function(a, b) {\n",
       "    var a_num = parseFloat(a);\n",
       "    var b_num = parseFloat(b);\n",
       "\n",
       "    if (isNaN(a_num) && isNaN(b_num))\n",
       "        return ((a < b) ? -1 : ((a > b) ? 1 : 0));\n",
       "    else if (!isNaN(a_num) && !isNaN(b_num))\n",
       "        return ((a_num < b_num) ? -1 : ((a_num > b_num) ? 1 : 0));\n",
       "    else\n",
       "        return isNaN(a_num) ? -1 : 1;\n",
       "}\n",
       "\n",
       "require.config({paths: {\n",
       "    datatables: 'https://cdn.datatables.net/1.10.12/js/jquery.dataTables.min'\n",
       "}});\n",
       "require([\"datatables\"], function(){\n",
       "    console.log(\"$('#table140536455120304-78273').dataTable()\");\n",
       "    \n",
       "jQuery.extend( jQuery.fn.dataTableExt.oSort, {\n",
       "    \"optionalnum-asc\": astropy_sort_num,\n",
       "    \"optionalnum-desc\": function (a,b) { return -astropy_sort_num(a, b); }\n",
       "});\n",
       "\n",
       "    $('#table140536455120304-78273').dataTable({\n",
       "        order: [],\n",
       "        pageLength: 100,\n",
       "        lengthMenu: [[10, 25, 50, 100, 500, 1000, -1], [10, 25, 50, 100, 500, 1000, 'All']],\n",
       "        pagingType: \"full_numbers\",\n",
       "        columnDefs: [{targets: [2, 3, 4, 5, 6, 7, 8], type: \"optionalnum\"}]\n",
       "    });\n",
       "});\n",
       "</script>\n"
      ],
      "text/plain": [
       "<IPython.core.display.HTML object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "-------------------------------------------------------------------------\n",
      "\n",
      "================================================================================\n",
      "\n"
     ]
    }
   ],
   "source": [
    "from jetset.minimizer import ModelMinimizer\n",
    "composite_model.jet_leptonic.parameters.z_cosm.frozen=True\n",
    "\n",
    "model_minimizer_lsb=ModelMinimizer('sherpa')\n",
    "best_fit=model_minimizer_lsb.fit(composite_model,sed_data,1E11,1E29,fitname='SSC-best-fit-sherpa',repeat=1)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1200x800 with 2 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "composite_model.set_nu_grid(1E6,1E30,200)\n",
    "composite_model.eval()\n",
    "p=composite_model.plot_model(sed_data=sed_data)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Using the ``sherpa_fitter`` you can access all the sherpa fetarues https://sherpa.readthedocs.io/en/latest/fit/index.html"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "WARNING: hard minimum hit for parameter EBL corrected.gmin\n",
      "WARNING: hard maximum hit for parameter EBL corrected.gmin\n",
      "WARNING: hard minimum hit for parameter EBL corrected.gmax\n",
      "WARNING: hard maximum hit for parameter EBL corrected.gmax\n",
      "WARNING: hard minimum hit for parameter EBL corrected.B\n",
      "WARNING: hard maximum hit for parameter EBL corrected.B\n"
     ]
    },
    {
     "data": {
      "text/html": [
       "<style>/*\n",
       "Copyright (C) 2020  Smithsonian Astrophysical Observatory\n",
       "\n",
       "\n",
       " This program is free software; you can redistribute it and/or modify\n",
       " it under the terms of the GNU General Public License as published by\n",
       " the Free Software Foundation; either version 3 of the License, or\n",
       " (at your option) any later version.\n",
       "\n",
       " This program is distributed in the hope that it will be useful,\n",
       " but WITHOUT ANY WARRANTY; without even the implied warranty of\n",
       " MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the\n",
       " GNU General Public License for more details.\n",
       "\n",
       " You should have received a copy of the GNU General Public License along\n",
       " with this program; if not, write to the Free Software Foundation, Inc.,\n",
       " 51 Franklin Street, Fifth Floor, Boston, MA 02110-1301 USA.\n",
       "\n",
       "*/\n",
       "\n",
       ":root {\n",
       "  --sherpa-border-color: var(--jp-border-color2, #e0e0e0);\n",
       "  --sherpa-background-color: var(--jp-layout-color0, white);\n",
       "  --sherpa-background-color-row-even: var(--jp-layout-color1, white);\n",
       "  --sherpa-background-color-row-odd: var(--jp-layout-color2, #eeeeee);\n",
       "\n",
       "  /* https://medium.com/ge-design/iot-cool-gray-is-a-great-background-color-for-data-visualization-ebf18c318418 */\n",
       "  --sherpa-background-color-dark1: #EBEFF2;\n",
       "  --sherpa-background-color-dark2: #D8E0E5;\n",
       "}\n",
       "\n",
       "div.sherpa-text-fallback {\n",
       "    display: none;\n",
       "}\n",
       "\n",
       "div.sherpa {\n",
       "    display: block;\n",
       "}\n",
       "\n",
       "div.sherpa details summary {\n",
       "    display: list-item;  /* needed for notebook, not lab */\n",
       "    font-size: larger;\n",
       "}\n",
       "\n",
       "div.sherpa details div.datavals {\n",
       "    display: grid;\n",
       "    grid-template-columns: 1fr 3fr;\n",
       "    column-gap: 0.5em;\n",
       "}\n",
       "\n",
       "div.sherpa div.dataname {\n",
       "    font-weight: bold;\n",
       "    border-right: 1px solid var(--sherpa-border-color);\n",
       "}\n",
       "\n",
       "div.sherpa div.dataval { }\n",
       "\n",
       "div.sherpa div.datavals div:nth-child(4n + 1) ,\n",
       "div.sherpa div.datavals div:nth-child(4n + 2) {\n",
       "    background: var(--sherpa-background-color-row-odd);\n",
       "}\n",
       "\n",
       "div.sherpa table.model tbody {\n",
       "    border-bottom: 1px solid var(--sherpa-border-color);\n",
       "}\n",
       "\n",
       "div.sherpa table.model tr.block {\n",
       "    border-top: 1px solid var(--sherpa-border-color);\n",
       "}\n",
       "\n",
       "div.sherpa table.model th.model-odd ,\n",
       "div.sherpa table.model th.model-even {\n",
       "    border-right: 1px solid var(--sherpa-border-color);\n",
       "}\n",
       "\n",
       "div.sherpa table.model th.model-odd {\n",
       "    background: var(--sherpa-background-color-dark1);\n",
       "}\n",
       "\n",
       "div.sherpa table.model th.model-even {\n",
       "    background: var(--sherpa-background-color-dark2);\n",
       "}\n",
       "\n",
       "div.sherpa .failed {\n",
       "    background: orange;\n",
       "    font-size: large;\n",
       "    padding: 1em;\n",
       "}\n",
       "</style><div class=\"sherpa-text-fallback\">&lt;covariance results instance&gt;</div><div hidden class=\"sherpa\"><details open><summary>covariance 1&#963; (68.2689%) bounds</summary><table><thead><tr><th>Parameter</th><th>Best-fit value</th><th>Lower Bound</th><th>Upper Bound</th></tr></thead><tbody><tr><td>EBL corrected.nuFnu_p_host</td><td>    -10.0606</td><td>  -0.0509997</td><td>   0.0509997</td></tr><tr><td>EBL corrected.gmin</td><td>     255.657</td><td>-----</td><td>-----</td></tr><tr><td>EBL corrected.gmax</td><td> 2.07799e+06</td><td>-----</td><td>-----</td></tr><tr><td>EBL corrected.N</td><td>     8.51252</td><td>    -2.52709</td><td>     2.52709</td></tr><tr><td>EBL corrected.gamma0_log_parab</td><td>     5659.11</td><td>    -1064.69</td><td>     1064.69</td></tr><tr><td>EBL corrected.s</td><td>     2.20821</td><td>  -0.0248637</td><td>   0.0248637</td></tr><tr><td>EBL corrected.r</td><td>    0.214529</td><td>  -0.0197456</td><td>   0.0197456</td></tr><tr><td>EBL corrected.R_sh</td><td> 1.44914e+16</td><td>-4.11409e+15</td><td> 4.11409e+15</td></tr><tr><td>EBL corrected.B</td><td>   0.0117539</td><td>-----</td><td>-----</td></tr><tr><td>EBL corrected.beam_obj</td><td>     43.7716</td><td>    -4.81248</td><td>     4.81248</td></tr></tbody></table></details><details><summary>Summary (2)</summary><div class=\"datavals\"><div class=\"dataname\">Fitting Method</div><div class=\"dataval\">levmar</div><div class=\"dataname\">Statistic</div><div class=\"dataval\">chi2</div></div></details></div>"
      ],
      "text/plain": [
       "<covariance results instance>"
      ]
     },
     "execution_count": 19,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "model_minimizer_lsb.minimizer.sherpa_fitter.est_errors()\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "WARNING: hard minimum hit for parameter EBL corrected.gmin\n",
      "WARNING: hard maximum hit for parameter EBL corrected.gmin\n",
      "WARNING: hard minimum hit for parameter EBL corrected.gmax\n",
      "WARNING: hard maximum hit for parameter EBL corrected.gmax\n",
      "WARNING: hard minimum hit for parameter EBL corrected.B\n",
      "WARNING: hard maximum hit for parameter EBL corrected.B\n"
     ]
    },
    {
     "data": {
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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "from sherpa.plot import IntervalProjection\n",
    "iproj = IntervalProjection()\n",
    "iproj.prepare(fac=5, nloop=15)\n",
    "iproj.calc(model_minimizer_lsb.minimizer.sherpa_fitter, model_minimizer_lsb.minimizer._sherpa_model.s)\n",
    "iproj.plot()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.8.2"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 4
}