{
 "cells": [
  {
   "cell_type": "raw",
   "metadata": {},
   "source": [
    ".. _ebl_model:"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# EBL  "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "tested on jetset 1.2.2\n"
     ]
    }
   ],
   "source": [
    "import jetset\n",
    "print('tested on jetset',jetset.__version__)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [],
   "source": [
    "import matplotlib.pyplot as plt\n",
    "import numpy as np"
   ]
  },
  {
   "cell_type": "raw",
   "metadata": {},
   "source": [
    "EBL models are implemented using a 2D interpolation where the x and y axes represent the redshift and the frequency, and the z axes represents the value of :math:`e^{-\\tau}`\n"
   ]
  },
  {
   "cell_type": "raw",
   "metadata": {},
   "source": [
    "Included models are \n",
    "\n",
    "- Franceschini et al. (2008) [Franceschini2008]_\n",
    "- Finke et al. (2010) [Finke2010]_ \n",
    "- Dominguez et al. (2011) [Dominguez2011]_"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [],
   "source": [
    "from jetset.template_2Dmodel import EBLAbsorptionTemplate\n",
    "ebl_dominguez=EBLAbsorptionTemplate.from_name('Dominguez_2010')\n",
    "ebl_finke=EBLAbsorptionTemplate.from_name('Finke_2010')\n",
    "ebl_franceschini=EBLAbsorptionTemplate.from_name('Franceschini_2008')\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 800x600 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "z=0.1\n",
    "nu=np.logspace(23,30,100)\n",
    "ebl_dominguez.parameters.z_cosm.val=z\n",
    "ebl_dominguez.eval(nu=nu)\n",
    "ebl_finke.parameters.z_cosm.val=z\n",
    "ebl_finke.eval(nu=nu)\n",
    "ebl_franceschini.parameters.z_cosm.val=z\n",
    "ebl_franceschini.eval(nu=nu)\n",
    "p=ebl_dominguez.plot_model()\n",
    "ebl_finke.plot_model(p)\n",
    "ebl_franceschini.plot_model(p)\n",
    "p.setlim(y_max=1,y_min=-10,x_max=29)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 900x600 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.figure(dpi=150)\n",
    "\n",
    "nu=1E26\n",
    "z_range=np.linspace(0.001,1,100)\n",
    "y_fr = np.zeros(z_range.size)\n",
    "y_fi = np.zeros(z_range.size)\n",
    "y_do = np.zeros(z_range.size)\n",
    "for ID,z in enumerate(z_range):\n",
    "    ebl_franceschini.parameters.z_cosm.val=z\n",
    "    ebl_finke.parameters.z_cosm.val=z\n",
    "    ebl_dominguez.parameters.z_cosm.val=z\n",
    "    y_fr[ID]=ebl_franceschini.eval(nu=nu,get_model=True)\n",
    "    y_fi[ID]=ebl_finke.eval(nu=nu,get_model=True)\n",
    "    y_do[ID]=ebl_dominguez.eval(nu=nu,get_model=True)\n",
    "\n",
    "\n",
    "plt.plot(z_range,y_fr,label='%s'%ebl_franceschini.name)\n",
    "plt.plot(z_range,y_fi,label='%s'%ebl_finke.name)\n",
    "plt.plot(z_range,y_do,label='%s'%ebl_dominguez.name)\n",
    "\n",
    "plt.xlabel('z')\n",
    "plt.ylabel(r'$exp^{-\\tau}$')\n",
    "plt.legend()\n",
    "plt.semilogy()\n",
    "t=plt.title(r'$\\nu=%1.1E Hz$'%nu)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "%matplotlib inline\n",
    "z_range=np.linspace(0.001,1,100)\n",
    "y_fr = np.zeros(z_range.size)\n",
    "y_fi = np.zeros(z_range.size)\n",
    "y_do = np.zeros(z_range.size)\n",
    "nu=1E27\n",
    "for ID,z in enumerate(z_range):\n",
    "    ebl_franceschini.parameters.z_cosm.val=z\n",
    "    ebl_finke.parameters.z_cosm.val=z\n",
    "    ebl_dominguez.parameters.z_cosm.val=z\n",
    "    y_fr[ID]=ebl_franceschini.eval(nu=nu,get_model=True)\n",
    "    y_fi[ID]=ebl_finke.eval(nu=nu,get_model=True)\n",
    "    y_do[ID]=ebl_dominguez.eval(nu=nu,get_model=True)\n",
    "\n",
    "\n",
    "plt.plot(z_range,y_fr,label='%s'%ebl_franceschini.name)\n",
    "plt.plot(z_range,y_fi,label='%s'%ebl_finke.name)\n",
    "plt.plot(z_range,y_do,label='%s'%ebl_dominguez.name)\n",
    "\n",
    "plt.xlabel('z')\n",
    "plt.ylabel(r'$exp^{-\\tau}$')\n",
    "plt.legend()\n",
    "plt.semilogy()\n",
    "t=plt.title(r'$\\nu=%1.1E Hz$'%nu)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Combine a Jet model with the EBL model "
   ]
  },
  {
   "cell_type": "raw",
   "metadata": {},
   "source": [
    "To  apply the EBL model to a Jet model we need to define a composite model, read the section :ref:`composite_models`  for more information regarding the composite models. "
   ]
  },
  {
   "cell_type": "raw",
   "metadata": {},
   "source": [
    "\n",
    "We start by combining a Jet model with the EBL absorption model. Please, keep in mind that the EBL absorption model  is a multiplicative  model, i.e. it has to multiplied and not added to the Jet model. \n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "As first step, we define our Jet model"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [],
   "source": [
    "from jetset.jet_model import Jet\n",
    "from jetset.model_manager import FitModel\n",
    "\n",
    "my_jet=Jet(electron_distribution='lppl',name='jet_leptonic')"
   ]
  },
  {
   "cell_type": "raw",
   "metadata": {},
   "source": [
    "As second step, we define the EBL model, and we use in this case the `Franceschini_2008` model"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [],
   "source": [
    "from jetset.template_2Dmodel import EBLAbsorptionTemplate\n",
    "ebl_franceschini=EBLAbsorptionTemplate.from_name('Franceschini_2008')"
   ]
  },
  {
   "cell_type": "raw",
   "metadata": {},
   "source": [
    "As third step, we add the components models to the the :class:`.FitModel` class, using the :class:`.FitModel.add_component()` method "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/Users/orion/anaconda3/envs/jetset/lib/python3.8/site-packages/jetset/model_manager.py:147: UserWarning: no cosmology defined, using default FlatLambdaCDM(name=\"Planck13\", H0=67.8 km / (Mpc s), Om0=0.307, Tcmb0=2.725 K, Neff=3.05, m_nu=[0.   0.   0.06] eV, Ob0=0.0483)\n",
      "  warnings.warn('no cosmology defined, using default %s'%self.cosmo)\n"
     ]
    }
   ],
   "source": [
    "composite_model=FitModel(nu_size=500,name='EBL corrected')\n",
    "composite_model.add_component(my_jet)\n",
    "composite_model.add_component(ebl_franceschini)\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<i>Table length=13</i>\n",
       "<table id=\"table140677257143920-585887\" 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>R</td><td>region_size</td><td>cm</td><td>5.000000e+15</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>1.000000e-01</td><td>0.000000e+00</td><td>--</td><td>False</td><td>False</td></tr>\n",
       "<tr><td>jet_leptonic</td><td>NH_cold_to_rel_e</td><td>cold_p_to_rel_e_ratio</td><td></td><td>1.000000e-01</td><td>0.000000e+00</td><td>--</td><td>False</td><td>True</td></tr>\n",
       "<tr><td>jet_leptonic</td><td>beam_obj</td><td>beaming</td><td>lorentz-factor*</td><td>1.000000e+01</td><td>1.000000e-04</td><td>1.000000e+04</td><td>False</td><td>False</td></tr>\n",
       "<tr><td>jet_leptonic</td><td>z_cosm</td><td>redshift</td><td></td><td>1.000000e-01</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>2.000000e+00</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>1.000000e+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>1.000000e+02</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>1.000000e+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>2.000000e+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>4.000000e-01</td><td>-1.500000e+01</td><td>1.500000e+01</td><td>False</td><td>False</td></tr>\n",
       "<tr><td>Franceschini_2008</td><td>z_cosm</td><td>redshift</td><td></td><td>1.000000e+00</td><td>0.000000e+00</td><td>--</td><td>False</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(\"$('#table140677257143920-585887').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",
       "    $('#table140677257143920-585887').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": [
    "composite_model.show_pars()"
   ]
  },
  {
   "cell_type": "raw",
   "metadata": {},
   "source": [
    ".. important::\n",
    "    Starting from version 1.2.0 we have changed the syntax of ``link_par``, please update your scripts"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Since, both the Jet model the EBL share the same parameter, i.e. the redshift, we link the two parameters "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "==> par: z_cosm from model: Franceschini_2008 linked to same parameter in model jet_leptonic\n"
     ]
    }
   ],
   "source": [
    "composite_model.link_par(par_name='z_cosm', from_model='Franceschini_2008', to_model='jet_leptonic')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<i>Table length=13</i>\n",
       "<table id=\"table140677257143920-739808\" 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>R</td><td>region_size</td><td>cm</td><td>5.000000e+15</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>1.000000e-01</td><td>0.000000e+00</td><td>--</td><td>False</td><td>False</td></tr>\n",
       "<tr><td>jet_leptonic</td><td>NH_cold_to_rel_e</td><td>cold_p_to_rel_e_ratio</td><td></td><td>1.000000e-01</td><td>0.000000e+00</td><td>--</td><td>False</td><td>True</td></tr>\n",
       "<tr><td>jet_leptonic</td><td>beam_obj</td><td>beaming</td><td>lorentz-factor*</td><td>1.000000e+01</td><td>1.000000e-04</td><td>1.000000e+04</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>1.000000e-01</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>2.000000e+00</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>1.000000e+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>1.000000e+02</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>1.000000e+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>2.000000e+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>4.000000e-01</td><td>-1.500000e+01</td><td>1.500000e+01</td><td>False</td><td>False</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",
       "</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(\"$('#table140677257143920-739808').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",
       "    $('#table140677257143920-739808').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": [
    "composite_model.show_pars()"
   ]
  },
  {
   "cell_type": "raw",
   "metadata": {},
   "source": [
    "As you can see, now the parameter `z_cosm` in `Franceschini_2008` is the `linked` paramter (flagge by the L in parenthesis), and the one belonging to the `jet_flaring` component is the `master`  one (flagged by the M in parenthesis)."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "These methods are alternative ways to set a parameter in a composite model"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {},
   "outputs": [],
   "source": [
    "composite_model.jet_leptonic.parameters.z_cosm.val=0.1\n",
    "composite_model.set_par('jet_leptonic','z_cosm',0.1)\n",
    "composite_model.set_par(my_jet,'z_cosm',0.1)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Since as default, added components are summed together, so we need to define the correct multiplicative for for the composite model."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n",
      "--------------------------------------------------------------------------------\n",
      "Composite model description\n",
      "--------------------------------------------------------------------------------\n",
      "name: EBL corrected  \n",
      "type: composite_model  \n",
      "components models:\n",
      " -model name: jet_leptonic model type: jet\n",
      " -model name: Franceschini_2008 model type: table2D\n",
      "\n",
      "--------------------------------------------------------------------------------\n"
     ]
    }
   ],
   "source": [
    "composite_model.show_model_components()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "This can be done just by writing the mathematical expression as a string, using the model names reported in the model description table, and that's it!"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {},
   "outputs": [],
   "source": [
    "composite_model.composite_expr='jet_leptonic*Franceschini_2008'"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {},
   "outputs": [
    {
     "data": {
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      "text/plain": [
       "<Figure size 1200x800 with 2 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "composite_model.jet_leptonic.IC_nu_size=150\n",
    "composite_model.eval()\n",
    "p=composite_model.plot_model()\n",
    "p.setlim(y_max=1E-12)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "if you want to remove the link from the parameter "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "metadata": {},
   "outputs": [],
   "source": [
    "composite_model.parameters.reset_dependencies()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<i>Table length=13</i>\n",
       "<table id=\"table140677269462992-81366\" 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>R</td><td>region_size</td><td>cm</td><td>5.000000e+15</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>1.000000e-01</td><td>0.000000e+00</td><td>--</td><td>False</td><td>False</td></tr>\n",
       "<tr><td>jet_leptonic</td><td>NH_cold_to_rel_e</td><td>cold_p_to_rel_e_ratio</td><td></td><td>1.000000e-01</td><td>0.000000e+00</td><td>--</td><td>False</td><td>True</td></tr>\n",
       "<tr><td>jet_leptonic</td><td>beam_obj</td><td>beaming</td><td>lorentz-factor*</td><td>1.000000e+01</td><td>1.000000e-04</td><td>1.000000e+04</td><td>False</td><td>False</td></tr>\n",
       "<tr><td>jet_leptonic</td><td>z_cosm</td><td>redshift</td><td></td><td>1.000000e-01</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>2.000000e+00</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>1.000000e+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>1.000000e+02</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>1.000000e+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>2.000000e+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>4.000000e-01</td><td>-1.500000e+01</td><td>1.500000e+01</td><td>False</td><td>False</td></tr>\n",
       "<tr><td>Franceschini_2008</td><td>z_cosm</td><td>redshift</td><td></td><td>1.000000e-01</td><td>0.000000e+00</td><td>--</td><td>False</td><td>True</td></tr>\n",
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       "\n",
       "var astropy_sort_num = function(a, b) {\n",
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       "\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",
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       "    \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",
       "    $('#table140677269462992-81366').dataTable({\n",
       "        order: [],\n",
       "        pageLength: 100,\n",
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      ],
      "text/plain": [
       "<IPython.core.display.HTML object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/plain": [
       "None"
      ]
     },
     "execution_count": 18,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "composite_model.parameters"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "now the two `z_cosm` parameters are not linkend anymore"
   ]
  },
  {
   "cell_type": "raw",
   "metadata": {},
   "source": [
    ".. bibliography:: references.bib\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Example of model fitting with EBL"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "metadata": {},
   "outputs": [],
   "source": [
    "from jetset.test_data_helper import  test_SEDs\n",
    "from jetset.data_loader import ObsData,Data"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "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": 20,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "test_SEDs"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "================================================================================\n",
      "\n",
      "***  binning data  ***\n",
      "---> N bins= 90\n",
      "---> bin_widht= 0.2\n",
      "================================================================================\n",
      "\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/Users/orion/anaconda3/envs/jetset/lib/python3.8/site-packages/astropy/table/table.py:1187: FutureWarning: Using a non-tuple sequence for multidimensional indexing is deprecated; use `arr[tuple(seq)]` instead of `arr[seq]`. In the future this will be interpreted as an array index, `arr[np.array(seq)]`, which will result either in an error or a different result.\n",
      "  newcol = col[slice_]\n"
     ]
    },
    {
     "data": {
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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",
    "data=Data.from_file(test_SEDs[2])\n",
    "sed_data=ObsData(data_table=data)\n",
    "myPlot=sed_data.plot_sed()\n",
    "\n",
    "sed_data.group_data(bin_width=0.2)\n",
    "sed_data.add_systematics(0.1,[10.**6,10.**29])\n",
    "myPlot.add_data_plot(sed_data,label='rebinned')\n",
    "myPlot.setlim(y_min=1E-14,y_max=1E-9,x_min=1E9,x_max=1E29)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "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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      "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(silent=True)\n",
    "p=my_shape.plot_indices()\n",
    "p.setlim(y_min=1E-15,y_max=1E-6)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "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, 21]\n",
      "---> class:  HSP\n",
      "\n",
      "---> class:  HSP\n",
      "\n",
      "\n"
     ]
    },
    {
     "data": {
      "text/html": [
       "<i>Table length=6</i>\n",
       "<table id=\"table140676763048736-60907\" 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",
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       ".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",
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       "require([\"datatables\"], function(){\n",
       "    console.log(\"$('#table140676763048736-60907').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",
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       "        order: [],\n",
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       "    });\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": 24,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "================================================================================\n",
      "\n",
      "*** Log-Polynomial fitting of the IC component ***\n",
      "---> fit range: [23, 29]\n",
      "---> LogCubic fit\n",
      "-------------------------------------------------------------------------\n",
      "Fit report\n",
      "\n",
      "Model: IC-shape-fit\n"
     ]
    },
    {
     "data": {
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       "<tr><td>LogCubic</td><td>b</td><td>curvature</td><td></td><td>-1.565399e-01</td><td>-1.000000e+01</td><td>0.000000e+00</td><td>False</td><td>False</td></tr>\n",
       "<tr><td>LogCubic</td><td>c</td><td>third-degree</td><td></td><td>-4.351917e-02</td><td>-1.000000e+01</td><td>1.000000e+01</td><td>False</td><td>False</td></tr>\n",
       "<tr><td>LogCubic</td><td>Ep</td><td>peak freq</td><td>Hz</td><td>2.529709e+01</td><td>0.000000e+00</td><td>3.000000e+01</td><td>True</td><td>False</td></tr>\n",
       "<tr><td>LogCubic</td><td>Sp</td><td>peak flux</td><td>erg / (cm2 s)</td><td>-1.058825e+01</td><td>-3.000000e+01</td><td>0.000000e+00</td><td>True</td><td>False</td></tr>\n",
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       "</style>\n",
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       "\n",
       "var astropy_sort_num = function(a, b) {\n",
       "    var a_num = parseFloat(a);\n",
       "    var b_num = parseFloat(b);\n",
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       "        return ((a_num < b_num) ? -1 : ((a_num > b_num) ? 1 : 0));\n",
       "    else\n",
       "        return isNaN(a_num) ? -1 : 1;\n",
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     "text": [
      "\n",
      "converged=True\n",
      "calls=50\n",
      "mesg=\n"
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       "<table>\n",
       "    <tr>\n",
       "        <td colspan=\"2\" style=\"text-align:left\" title=\"Minimum value of function\"> FCN = 2.632 </td>\n",
       "        <td colspan=\"3\" style=\"text-align:center\" title=\"No. of function evaluations in last call and total number\"> Nfcn = 50 </td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "        <td colspan=\"2\" style=\"text-align:left\" title=\"Estimated distance to minimum and goal\"> EDM = 1.7e-06 (Goal: 0.0002) </td>\n",
       "        <td colspan=\"3\" style=\"text-align:center\" title=\"No. of gradient evaluations in last call and total number\">  </td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "        <td style=\"text-align:center;background-color:#92CCA6;color:black\"> Valid Minimum </td>\n",
       "        <td style=\"text-align:center;background-color:#92CCA6;color:black\"> Valid Parameters </td>\n",
       "        <td colspan=\"3\" style=\"text-align:center;background-color:#92CCA6;color:black\"> No Parameters at limit </td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "        <td colspan=\"2\" style=\"text-align:center;background-color:#92CCA6;color:black\"> Below EDM threshold (goal x 10) </td>\n",
       "        <td colspan=\"3\" style=\"text-align:center;background-color:#92CCA6;color:black\"> Below call limit </td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "        <td style=\"text-align:center;background-color:#92CCA6;color:black\"> Covariance </td>\n",
       "        <td style=\"text-align:center;background-color:#92CCA6;color:black\"> Hesse ok </td>\n",
       "        <td style=\"text-align:center;background-color:#92CCA6;color:black\" title=\"Is covariance matrix accurate?\"> Accurate </td>\n",
       "        <td style=\"text-align:center;background-color:#92CCA6;color:black\" title=\"Is covariance matrix positive definite?\"> Pos. def. </td>\n",
       "        <td style=\"text-align:center;background-color:#92CCA6;color:black\" title=\"Was positive definiteness enforced by Minuit?\"> Not forced </td>\n",
       "    </tr>\n",
       "</table><table>\n",
       "    <tr>\n",
       "        <td></td>\n",
       "        <th title=\"Variable name\"> Name </th>\n",
       "        <th title=\"Value of parameter\"> Value </th>\n",
       "        <th title=\"Hesse error\"> Hesse Error </th>\n",
       "        <th title=\"Minos lower error\"> Minos Error- </th>\n",
       "        <th title=\"Minos upper error\"> Minos Error+ </th>\n",
       "        <th title=\"Lower limit of the parameter\"> Limit- </th>\n",
       "        <th title=\"Upper limit of the parameter\"> Limit+ </th>\n",
       "        <th title=\"Is the parameter fixed in the fit\"> Fixed </th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "        <th> 0 </th>\n",
       "        <td> par_0 </td>\n",
       "        <td> -0.157 </td>\n",
       "        <td> 0.026 </td>\n",
       "        <td>  </td>\n",
       "        <td>  </td>\n",
       "        <td> -10 </td>\n",
       "        <td> 0 </td>\n",
       "        <td>  </td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "        <th> 1 </th>\n",
       "        <td> par_1 </td>\n",
       "        <td> -0.044 </td>\n",
       "        <td> 0.020 </td>\n",
       "        <td>  </td>\n",
       "        <td>  </td>\n",
       "        <td> -10 </td>\n",
       "        <td> 10 </td>\n",
       "        <td>  </td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "        <th> 2 </th>\n",
       "        <td> par_2 </td>\n",
       "        <td> 25.30 </td>\n",
       "        <td> 0.18 </td>\n",
       "        <td>  </td>\n",
       "        <td>  </td>\n",
       "        <td> 0 </td>\n",
       "        <td> 30 </td>\n",
       "        <td>  </td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "        <th> 3 </th>\n",
       "        <td> par_3 </td>\n",
       "        <td> -10.59 </td>\n",
       "        <td> 0.05 </td>\n",
       "        <td>  </td>\n",
       "        <td>  </td>\n",
       "        <td> -30 </td>\n",
       "        <td> 0 </td>\n",
       "        <td>  </td>\n",
       "    </tr>\n",
       "</table><table>\n",
       "    <tr>\n",
       "        <td></td>\n",
       "        <th> par_0 </th>\n",
       "        <th> par_1 </th>\n",
       "        <th> par_2 </th>\n",
       "        <th> par_3 </th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "        <th> par_0 </th>\n",
       "        <td> 0.000651 </td>\n",
       "        <td style=\"background-color:rgb(250,155,155);color:black\"> 0.00033 <strong>(0.636)</strong> </td>\n",
       "        <td style=\"background-color:rgb(169,169,250);color:black\"> -0.00289 <strong>(-0.622)</strong> </td>\n",
       "        <td style=\"background-color:rgb(240,240,250);color:black\"> -9.45e-05 <strong>(-0.073)</strong> </td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "        <th> par_1 </th>\n",
       "        <td style=\"background-color:rgb(250,155,155);color:black\"> 0.00033 <strong>(0.636)</strong> </td>\n",
       "        <td> 0.000413 </td>\n",
       "        <td style=\"background-color:rgb(128,128,250);color:black\"> -0.00348 <strong>(-0.942)</strong> </td>\n",
       "        <td style=\"background-color:rgb(250,165,165);color:black\"> 0.000582 <strong>(0.567)</strong> </td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "        <th> par_2 </th>\n",
       "        <td style=\"background-color:rgb(169,169,250);color:black\"> -0.00289 <strong>(-0.622)</strong> </td>\n",
       "        <td style=\"background-color:rgb(128,128,250);color:black\"> -0.00348 <strong>(-0.942)</strong> </td>\n",
       "        <td> 0.033 </td>\n",
       "        <td style=\"background-color:rgb(163,163,250);color:black\"> -0.00612 <strong>(-0.667)</strong> </td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "        <th> par_3 </th>\n",
       "        <td style=\"background-color:rgb(240,240,250);color:black\"> -9.45e-05 <strong>(-0.073)</strong> </td>\n",
       "        <td style=\"background-color:rgb(250,165,165);color:black\"> 0.000582 <strong>(0.567)</strong> </td>\n",
       "        <td style=\"background-color:rgb(163,163,250);color:black\"> -0.00612 <strong>(-0.667)</strong> </td>\n",
       "        <td> 0.00255 </td>\n",
       "    </tr>\n",
       "</table>"
      ],
      "text/plain": [
       "┌──────────────────────────────────┬──────────────────────────────────────┐\n",
       "│ FCN = 2.632                      │              Nfcn = 50               │\n",
       "│ EDM = 1.7e-06 (Goal: 0.0002)     │                                      │\n",
       "├───────────────┬──────────────────┼──────────────────────────────────────┤\n",
       "│ Valid Minimum │ Valid Parameters │        No Parameters at limit        │\n",
       "├───────────────┴──────────────────┼──────────────────────────────────────┤\n",
       "│ Below EDM threshold (goal x 10)  │           Below call limit           │\n",
       "├───────────────┬──────────────────┼───────────┬─────────────┬────────────┤\n",
       "│  Covariance   │     Hesse ok     │ Accurate  │  Pos. def.  │ Not forced │\n",
       "└───────────────┴──────────────────┴───────────┴─────────────┴────────────┘\n",
       "┌───┬───────┬───────────┬───────────┬────────────┬────────────┬─────────┬─────────┬───────┐\n",
       "│   │ Name  │   Value   │ Hesse Err │ Minos Err- │ Minos Err+ │ Limit-  │ Limit+  │ Fixed │\n",
       "├───┼───────┼───────────┼───────────┼────────────┼────────────┼─────────┼─────────┼───────┤\n",
       "│ 0 │ par_0 │  -0.157   │   0.026   │            │            │   -10   │    0    │       │\n",
       "│ 1 │ par_1 │  -0.044   │   0.020   │            │            │   -10   │   10    │       │\n",
       "│ 2 │ par_2 │   25.30   │   0.18    │            │            │    0    │   30    │       │\n",
       "│ 3 │ par_3 │  -10.59   │   0.05    │            │            │   -30   │    0    │       │\n",
       "└───┴───────┴───────────┴───────────┴────────────┴────────────┴─────────┴─────────┴───────┘\n",
       "┌───────┬─────────────────────────────────────────┐\n",
       "│       │     par_0     par_1     par_2     par_3 │\n",
       "├───────┼─────────────────────────────────────────┤\n",
       "│ par_0 │  0.000651   0.00033  -0.00289 -9.45e-05 │\n",
       "│ par_1 │   0.00033  0.000413  -0.00348  0.000582 │\n",
       "│ par_2 │  -0.00289  -0.00348     0.033  -0.00612 │\n",
       "│ par_3 │ -9.45e-05  0.000582  -0.00612   0.00255 │\n",
       "└───────┴─────────────────────────────────────────┘"
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     "text": [
      "dof=7\n",
      "chisq=2.631978, chisq/red=0.375997 null hypothesis sig=0.916836\n",
      "\n",
      "stats without the UL\n",
      "dof  UL=7\n",
      "chisq=2.631978, chisq/red=0.375997 null hypothesis sig=0.916836\n",
      "\n",
      "\n",
      "best fit pars\n"
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       "<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",
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      "-------------------------------------------------------------------------\n",
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     "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"
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      "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')\n",
    "p=my_shape.plot_shape_fit()\n",
    "p.setlim(y_min=1E-15)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 25,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "================================================================================\n",
      "\n",
      "***  constrains parameters from observable ***\n",
      "\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/Users/orion/anaconda3/envs/jetset/lib/python3.8/site-packages/jetset/obs_constrain.py:652: RankWarning: Polyfit may be poorly conditioned\n",
      "  return func(*args, **kwargs),completed\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>1.057086e+16</td><td>1.000000e+03</td><td>1.000000e+30</td><td>False</td><td>False</td></tr>\n",
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       "<tr><td>jet_leptonic</td><td>gmin</td><td>low-energy-cut-off</td><td>lorentz-factor*</td><td>1.487509e+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",
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       "<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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       "        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",
      "================================================================================\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=1E11,\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_gal_templ.pkl')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 26,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/Users/orion/anaconda3/envs/jetset/lib/python3.8/site-packages/jetset/model_manager.py:147: UserWarning: no cosmology defined, using default FlatLambdaCDM(name=\"Planck13\", H0=67.8 km / (Mpc s), Om0=0.307, Tcmb0=2.725 K, Neff=3.05, m_nu=[0.   0.   0.06] eV, Ob0=0.0483)\n",
      "  warnings.warn('no cosmology defined, using default %s'%self.cosmo)\n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "<jetset.plot_sedfit.PlotSED at 0x7ff1dcf8ea90>"
      ]
     },
     "execution_count": 26,
     "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.eval()\n",
    "composite_model.plot_model()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 27,
   "metadata": {},
   "outputs": [],
   "source": [
    "from jetset.template_2Dmodel import EBLAbsorptionTemplate\n",
    "ebl_franceschini=EBLAbsorptionTemplate.from_name('Franceschini_2008')\n",
    "composite_model.add_component(ebl_franceschini)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 28,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "==> par: z_cosm from model: Franceschini_2008 linked to same parameter in model jet_leptonic\n"
     ]
    }
   ],
   "source": [
    "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'"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 29,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n",
      "--------------------------------------------------------------------------------\n",
      "Composite model description\n",
      "--------------------------------------------------------------------------------\n",
      "name: EBL corrected  \n",
      "type: composite_model  \n",
      "components models:\n",
      " -model name: host_galaxy model type: template\n",
      " -model name: jet_leptonic model type: jet\n",
      " -model name: Franceschini_2008 model type: table2D\n",
      "\n",
      "--------------------------------------------------------------------------------\n",
      "individual component description\n",
      "\n",
      "--------------------------------------------------------------------------------\n",
      "model description\n",
      "--------------------------------------------------------------------------------\n",
      "name: host_galaxy  \n",
      "type: template  \n",
      "\n",
      "--------------------------------------------------------------------------------\n"
     ]
    },
    {
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       "<tr><td>host_galaxy</td><td>nuFnu_p_host</td><td>nuFnu-scale</td><td>erg / (cm2 s)</td><td>-1.006556e+01</td><td>-2.000000e+01</td><td>2.000000e+01</td><td>False</td><td>False</td></tr>\n",
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       "jQuery.extend( jQuery.fn.dataTableExt.oSort, {\n",
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    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "--------------------------------------------------------------------------------\n",
      "\n",
      "--------------------------------------------------------------------------------\n",
      "model description: \n",
      "--------------------------------------------------------------------------------\n",
      "type: Jet\n",
      "name: jet_leptonic  \n",
      "\n",
      "electrons distribution:\n",
      " type: lppl  \n",
      " gamma energy grid size:  201\n",
      " gmin grid : 1.487509e+02\n",
      " gmax grid : 2.310708e+06\n",
      " normalization:  True\n",
      " log-values:  False\n",
      " ratio of cold protons to relativistic electrons: 1.000000e-01\n",
      "\n",
      "radiative fields:\n",
      " seed photons grid size:  100\n",
      " IC emission grid size:  100\n",
      " source emissivity lower bound :  1.000000e-120\n",
      " spectral components:\n",
      "   name:Sum, state: on\n",
      "   name:Sync, state: self-abs\n",
      "   name:SSC, state: on\n",
      "external fields transformation method: blob\n",
      "\n",
      "SED info:\n",
      " nu grid size jetkernel: 1000\n",
      " nu size: 500\n",
      " nu mix (Hz): 1.000000e+06\n",
      " nu max (Hz): 1.000000e+30\n",
      "\n",
      "flux plot lower bound   :  1.000000e-30\n",
      "\n",
      "--------------------------------------------------------------------------------\n"
     ]
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       "<tr><td>jet_leptonic</td><td>R</td><td>region_size</td><td>cm</td><td>1.057086e+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>NH_cold_to_rel_e</td><td>cold_p_to_rel_e_ratio</td><td></td><td>1.000000e-01</td><td>0.000000e+00</td><td>--</td><td>False</td><td>True</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>1.000000e+04</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>False</td></tr>\n",
       "<tr><td>jet_leptonic</td><td>gmin</td><td>low-energy-cut-off</td><td>lorentz-factor*</td><td>1.487509e+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>2.989977e+01</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",
       "</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(\"$('#table140677252428992-525156').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",
       "    $('#table140677252428992-525156').dataTable({\n",
       "        order: [],\n",
       "        pageLength: 100,\n",
       "        lengthMenu: [[10, 25, 50, 100, 500, 1000, -1], [10, 25, 50, 100, 500, 1000, 'All']],\n",
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       "    });\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",
      "model description\n",
      "--------------------------------------------------------------------------------\n",
      "name: Franceschini_2008  \n",
      "type: table2D  \n",
      "\n",
      "--------------------------------------------------------------------------------\n"
     ]
    },
    {
     "data": {
      "text/html": [
       "<i>Table length=1</i>\n",
       "<table id=\"table140676788208352-534630\" 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>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",
       "</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(\"$('#table140676788208352-534630').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",
       "    $('#table140676788208352-534630').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",
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       "    });\n",
       "});\n",
       "</script>\n"
      ],
      "text/plain": [
       "<IPython.core.display.HTML object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "--------------------------------------------------------------------------------\n",
      "--------------------------------------------------------------------------------\n"
     ]
    }
   ],
   "source": [
    "composite_model.show_model()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 30,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<jetset.plot_sedfit.PlotSED at 0x7ff1f2892ca0>"
      ]
     },
     "execution_count": 30,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
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RERERERER2R2LUkREREREREREZHcsShERERERERERkd2xKEVERERERERERHbHohQREREREREREdkdi1JERERERERERGR3LEoREREREREREZHdsShFRERERERERER2x6IUERERERERERHZHYtSRERERERERERkdyxK2ZgQYrIQIhXAZqWzEBERERERERE5KhalbExKOV1KGQegk9JZiIiIiIiIiIgcFYtSRERERERERERkdyxKERERERERERGR3bEoRUREREREREREdseiFBERERERERER2R2LUkREREREREREZHcsShERERERERERkd2xKEVERERERERERHbHohQREREREREREdkdi1JERERERERERGR3LEoREREREREREZHdsShFRERERERERER2x6IUERERERERERHZHYtSRERERERERERkdyxKERERERERERGR3bEoRUREREREREREdseiFBERERERERER2R2LUkREREREREREZHcsShERERERERERkd2xKEVERERERERERHbHohQREREREREREdkdi1JERERERERERGR3LEoREREREREREZHdsShFRERERERERER2x6IUERERERERERHZHYtSRERERERERERkd82+KCWE+F0IUSiE+KWWc0OFEAeEEIeEEPcqkY+IiIiIiIiIqClq9kUpANMATLj4oBBCA+A9ADcBaA/gH0IILztnIyIiIiIiIiJqkpp9UUpKuRJASS2nOgHYK6U8KaUsAbAQwAC7hiMiIiIiIiIiaqIcuiglhOgphJgvhMgUQkghxM21XPOwEOKYEKJSCJEihLjBRrcPAnDyvK8zAATbqG0iIiIiIiIiomZNo3SAK3AGsBPANwB+vfikEOJWAB8AeBjAOgAPAFgkhIiTUqbVXJMCQF9L2/2llJmXubeo5Zis82Ih9BfdxxUALBYLLBbLZW5DzYXFYoHVamV/aCIqSqqRm1YKD38j3HyMdrkn+xDVF/sQ1Rf7ENUX+xDVF/tQ/fFnR47EoYtSUspFABYBgBC11YgwBcBXUsova75+QggxAMBDAJ6raSP5Om9/EheOjAoBsOky1z8HYOrFB48cOQIXF5frjEBNidVqRUFBAQ4fPgyVyqEHKdJllBWYsHtBIcoKzAAAlRqI6uGGkETnup6nbIZ9iOqLfYjqi32I6ot9iOqLfaj+SktLlY5AdI5DF6UuRwihA5AM4D8XnVoCoJsNbrEZQIIQIhhAMYDBAF67zPVv4MzC6Ge5Asho2bIl3NzcbBCHGjuLxYLDhw8jKioKarVa6Th0ldb9chgFWWXoenNLqNQC67/aCYOLDl3vjoZ3iAv2rsnEntUnUZalQo9bo+EZ4NRgWdiHqL7Yh6i+2IeovtiHqL7Yh+qvuLhY6QhE5zTaohQAHwBqAKcuOn4KQMDVNiKEWIwzu+s5CyEyAIyUUm6RUpqFEE8BWIkza2+9JaXMr6sdKWUVgKrz2gUAqNVqPlnSOSqVin2iEbFarDiwIRtWi8Qvb6ZAq1fD3deI4Y8nwuiiAwD0ui0Wke18sPqHA5jz761oe1MIOg1vAa2uYf4fsw9RfbEPUX2xD1F9sQ9RfbEP1Q9/buRIGnNR6qyL13kStRyr+8FS1rmjnpTyDwB/XGcuImrkck6UoLrSgpFPtUduegmyjxah122xMDhrL7guLM4bt03tjB3L0pGy8DjS9xVg4P1t4OHfcKOmiIiIiIiIGrvGPAk3D4AFl46K8sOlo6eIiK5Zxv4C6AxqBLRwQ7ubQjHg3oRLClJnabRqdBgUgTHPdYDFLPHzG1uQui4TVovVzqmJiIiIiIgah0ZblJJSVgNIAdDvolP9AKy3f6IzhBCThRCpOLMmFRE1Yun7ChEc6wmV+uqfKr2DXDD2nx0Q2dYHK7/bjx9f24xju/IaMCUREREREVHj5NBFKSGEixAiUQiRWHMosubrsJqv3wNwrxBikhCitRDifQBhAD5VIi8ASCmnSynjAHRSKgMR1Z+pyoLso0UIaeV1zY/VGTXoNykeY5/rABdPPf76dDeKcssbICUREREREVHj5dBFKQAdAGyv+QDOFKG2o2YXPCnlbABPAHgZwA4APQEMllKesHdQImpaMg+fhtUiEdra87rb8At3w+CH28LgosWWBcdtF46IiIiIiKgJcOiFzqWUq3Bm4fLLXfMJgE/sEoiImo2MfQVwdtdBuGlRVmWGs/7M02VJpQlvLNqPwzmlaOnrgjdGtblsO1qdGh0GR2DN7INoPyAcXkHO9ohPRERERETk8Bx9pBQRkSLS9xcipLUX7pu5FfFTF6OgrBqlVWZM/GYL5u/MRKC7AdF+LgCAogoTrNa6N/2M6x4EV08DNi84aq/4REREREREDo9FKRvjQudEjV9FSTXyM0oRGOOBLccLEeplhJezDo/9uB0Hs0vw3T2d8eG4JEzqEQmzxYpxn2/EP3/bBUsdhSm1VoUOQyJwZFsuMg8V2vm7ISIiIiIickwsStkYFzonavwyD50GAJS6n5myN21cEgBgcu+W+HZSRySGepy7VqNW4f6ekfh120k8NCsFlSZLrW226hKAoGgPLP5iL8pOVzVofiIiIiIiosaARSkiooucPHgabj4G7C4ohV6jQnyQOwAgOdwLyeGX7sY3MikEX0xIxt+H8nD7l5tQVGG65BqVWoUB9yVACOCvz/fAYrY2+PdBRERERETkyFiUIiK6SOahQgTHeKJ7lA/+7+YE6DRXfqq8qZU/fry/C47nlWHT0fxar3Fy02HgA22Qc6IY6389bOvYREREREREjQqLUkRE56korUb+yTIEx3igdaAbbukQetWPTQz1wKpnbkT/+AAAgJSXrjEV0MId3UZHYdfKDKSl1l68IiIiIiIiag5YlCIiOk/WoSIAgDbACf9ddQSFZdXX9HhXgxYA8O6SA/j3n/tq3ZWv7Y0hCG3tieUz9qGy9NKpfkRERERERM0Bi1I2xt33iBq3kwcL4eZjwK7CUrz5137Uvp/elXk76/DVumN45Mdtlyx+LlQCfe6Kg8VsxeqfDtQ/NBERERERUSPEopSNcfc9osbt5MHTCIrxxNYTBWjh6wwvZ911tTOxeyQ+vSMZK/fnYuI3my+ZyufsoUfXm1vi8NYcFOdX2CI6ERERERFRo8KiFBFRjcoyE/IzSxEc44GUE6fRIdyzXu0NiA/AB+MSsfFoAfacLL7kfHRHf2j0ahzclF2v+xARERERETVGLEoREdU4ebAQkIBHuCsOZBcjuZ5FKQDo08oP74xthwgfp0vO6QwaRCX5Yv+G7FoXRSciIiIiImrKWJQiIqpxdHsuvIKcoXHV4o4u4egU6V3vNjVqFcYkh5xbAP1isV0DUZRbgewjRfW+FxERERERUWPCohQREQBTtQXHduYhuoMffFz0eG1EAiJ9nG3SdqXJgmfm7MS6w3mXnAuO9oCrlwH7N2TZ5F5ERERERESNBYtSREQATuzOh6nKgqhkf2w6mo/0gnKbta3XqLAj/TR+3pp+yTmhEojtEoDDKTkwVVtqeTQREREREVHTxKIUERGAwymn4BvmCg9/J0z5eSdmbjhus7aFELg5KRiL92ajtMp8yfnoDv6orrQg6/Bpm92TiIiIiIjI0bEoZWNCiMlCiFQAm5XOQkRXp7rSjOO78xHVwQ/5pVU4eboCbUM8bHqPkUnBMFkkZm+5dLSUZ4ATtAY18tJLbXpPIiIiIiIiR8ailI1JKadLKeMAdFI6CxFdneO78mAxWRGV7IddGWcWHG9n46JUkIcRo9sH48u/j8JssV5wTqgEfEJckJteYtN7EhEREREROTIWpYio2Tu2Kw9+EW5w8zZiZ8ZpeDppEepltPl9pvSLxc8PdIVGfelTr0+IK0dKERERERFRs8KiFBE1e5WlJrh6GQAAWrUKN7XyhxDC5vcJcDcg1MsJVWYLKk0XLmruE+qC0znlqK68dM0pIiIiIiKipohFKSJq9iwmKzS6M0+Hk3tH4d1b2jXYvarMFvR7bw2+23DiguO+oa6ABPJPljXYvYmIiIiIiBwJi1JE1OyZTVaotSpUVFtQXGlq0HvpNWp0jPDCt+uPX7C2lFegM1QqgTyuK0VERERERM0Ei1JE1OyZTVZotCqs2J+Dtq8sQX5pVYPe7+7uETh5ugLL9p06d0ytVcEzyJlFKSIiIiIiajY0SgcgIlKaxWSBRqvG2sN5aOHrDG8XfYPeLyHYHZ0ivPDNuuMYmBB47rhvqAtyudh5g7FaLMjJOILMjCMoLMhHWWklWgQNRGWZCSm7/0RJmRlWsxbSqgKsagQYQ2HU+6DwdCaKqyoBnF1nTEKvUsPbLQRCbUF6yT4ItQkqjQlqrQUarURy64Fw9XTD6ZLt0DtbERQUjoDQaGicnZX8ERARERERORQWpWxMCDEZwGRwFBpRo2GutkKtFVizJxf94/3tcs+J3SPw4bJDKKk0wdWgBQD4hLri4JZTsFisUNeyQx9dWXHBKaTu2IC0tJMoLKiA0RIAD30CCrILUHS6GhqrDoAeQBAAIEN1EAZnLcrNvqjWlADqagi1GUJbDSdPK3z93CAKMlBWcgJn176XEnA1eCEitB3KS4uQdrQEFrMWsloPUaGHyqLDwaJ8VJSegtVytghVAGATqtVlcHEBgsLDAW02Sqz7ERLij5Yx8QiIbA2hUSvwUyMiIiIiUgaLUjYmpZwOYLoQwg1AkdJ5iOjKzCYriqrNOHm6Ar1ifO1yz4HxARiUEHDBLn++oS6wmiVOZ5fDO9jFLjkaq/LiQuxKWY1jR9PgoWoDS5kX0o6kQVY4A3AD4IZKTSkqDWXwjVIjPMEbh/KXwsvbGX7+vvD28YO3fwj8fMOhUl+pEBR72bP90KHW49IqkZaeioz0w8jLyUFhQQmsxSb4OiXCapJIP1IBS1lr5G9XYydyYBEZgFMRWsUlwDtYjyq5HW2Te8DFL7DW9omIiIiIGjsWpYio2bOYrMirMMHNoEGXFt52uadKJWC1ShzOKUELXxeoVQI+Ia4AgNz0EhalzmM1mXE6twI5J0qxetU8FOYZ4VweBJV0A5CA005lCG3phfAEA06L3YhoEYZW8R3g7Rt6QTu90XC7KtZGqATCw+MRHh5fxxXtUFSaj4P7t+L40SPIzS6Bc3UISvIrcGR7Nqxmb2yftw+VurUQrqfg6WNC30ETENjCAxodR1QRERERUePHohQRNWvSKmExW9Eu3BNbb20NncZ+0+a2nijELZ9twKLHb0DrQDfojBq4+RiQl9G815WqqizDljWLsGf3cZzOcYG+NAQ6i9OZk85+ULmcgHNUPqJjwpGQ2BWe3kHnPbqfIpmvl7uLNzp2GICOFw22qqgqw/ZtK3Bw/yGUZZpQXeQB1eFI/PHBTqjUAlVOJ+DsU4jWrQLQvkdfOHnbZ4QfEREREZEtsShFRM2a2Ww984la2LUgBQBtgt2hUQmknChE60A3AICHvzOKcirsmkNpVpMZe7evh6U4Ahn7C3AkNRMaqxeq1UZItxPQt9iHG7r2QUxiG+idtErHtQuj3hndug5Dt67/O2Y2m1F0qhLHUzOxcNVOmDIisfOYG7Yv2okqp0wkd2yNVh2j4d/CHSqVqLtxIiIiIiIHwaIUETVrluozRal//L4LX8Z7wt/NYLd7G3VqxAW5YduJQtzRJRwA4OFnRPq+ArtlUEpRXiZWLJ6HwweqoSqIhMHsArXmCAKjPBDQNhdB0S7o1H0Q9AYnpaM6DI1GA+9gF3gHxyC5XwwqTRXYum0Zdm9PRWmmAUe3ViB19TZYNeWQnscQG+uM7v0GwsU/6MqNExEREREpgEUpImrWzCYLAMBg0MLPVW/3+7cP88SqAznnvnb3c8Kev0/CapVNbrTLqYwTyD2ixtEdp3B8fz7UMhYWp5PQhx5ATHwAevQeCaOzC4AkpaM2CgatET06D0OPzsMAAFarRPbRQsz69TNUnwrC4bWhOLg2FdUuf6Fz91ZI6p0Mgyt/7RMRERGR4+CrUyJq1symMyOlgryNF+yEZy/twz2xNPUUyqrMcNZr4OFnhNUsUVpQCTcfo93z2NrR/Vux7K9VKEj3gWtZGIQKCIr2RGByBtp0jkWrNncqHbHJUKkEgqK88Ow/noNVWpGyZxU2rt2C8jQ37F5WhZ1L1kHrmQ23gGwEuY+FW2DolRslIiIiImpALEoRUbNmqSlKSbUyo5KGtgnE8Hb/m17l7nemEHU6p7zRFqUqS03Yv+kE/vprFVxLWsAsEiC8DsG7TSqGjLgdrp6e4GiohqUSKnRscxM6trkJAFBZZsLRHTn45Y8DqEptgxmv7ofVYyHi4rTodfMY6NzcFE5MRERERM0Ri1JE1KyZa9aUkgpNlTs7Ra/abIVOo4KrlwEqlTiz2HmcIpGuS1lxARbO/QnpB9Qwno6BtEoYPVXw7LQHA4ePhpfPQKUjNmsGZy3iugfj+c73YdHqOTiYegQlaX44sD4MR1NS0KpLEFq118M/NkLpqERERETUjLAoZWNCiMkAJgOw7zZeRHRdzq4p9dTgVopleOWPvUjNKsbPD3SFSq2Cm6+x0ezAt3PzMqxYshPIioXO0grVLsfRbZAH2vaMh5PbTUrHo4sIIRAdnITBN94CCGD7vo2wHAlE6tqT2LPaBJPzKiS0taLXqDHQunL0FBERERE1LBalbExKOR3AdCGEG4AipfMQ0eWdXVPK283+i5yfFeJpxI+b086NlnL3M+J0brliea6koqwUabtLsGfNSWQfVcGqaQlNyD7cOLAT4pMmKR2PrpJapUaH+O5APJDQ1xsz53yK/H0u2L8hFns3/Q23oKMYeuc4+Ib7Kh2ViIiIiJooFqWIqFk7u6bU91vS8OCAGEUyJIV5ospsxcFTJUgIdoeHrxNO7M1XJMvl7Nm2CksXptSMinJCSCtPJI4A2ve8CUbnm5WOR/Xg7OSOh+76B8xWM1ZsmYv1K/bBktkWP7+xG2HxXoiOK0Bs7xshVBwETERERES2w6IUETVrZ6fv7chUbmBjuLcTACDzdAUSgt3h7mdE8aoKWC1WqNTKFgGklFix8CdsXVsIl8JWsGqioAndh8E390dkq3aKZiPb06g06N95DPp3BsorK5C2/TQ2/bkHy/eqsXjBj2jf3oLut94GlU6rdFQiIiIiagJYlCKiZu3sQudWBWs/Xk46aFQCp0qqAAAefk6wWiVKCirh7uukSKbKilIc2ZqP3atOIf+kP6TRAo+OuzFy3F1wch6hSCayLyeDEa26GhGQaMTs+V8ic7seu9bFY9vW39Chi0TXW25RvGhKRERERI0bi1JE1KxZTFZYBQChzO57wJkd+JY/1Qv+bgYAgLufEQBwOqfC7kWp0qJ8zJk1A3kHwuBU7YXwBG90GOaLFm16QaVW2zULOQYPowceuOVpVI+uxuzFX2Df32bsWN0Gx/ZtQseBwYjuFASVhi8niIiIiOja8VUkETVr5morpHL1qHPCvZ3Pfe7iZYBKI1CUUw7Ee9vl/vmn0jDnh9koOxIDnbktpO9edB/ijsQunKJHZ+jUOtw5eDIq+1ci+3gh9i7JxbKZh7F49jp066ZC+9GjWZwiIiIiomvCV49E1KxZzBZo9WqMTApWNMfMDcdxqrgSzwxoBZVKwN3HiNM5FQ1+37KiSuxeeRLblx+BydwOMmAP+o3shFZtH2/we1PjZNAYEBEViIioQHz353Ts+9uKTSvjsWHDbAwa6ouovv2VjkhEREREjQSLUkTUrJmrrXA2ajGoTaCiOQ7nlGLzsQI8M6AVAMDdz+nMSKkGkpN5FLNn/gakJUCnNaLNDeEIbV+J8CgWFOjq3TlkMor7FWPmgv8id703Fv+iwZ7dK3DTnV3h5mNUOh4REREROTgWpYioWTObrDALiZ3pp9Eu1EOxHP5uBpwqrjz3tWeAE3YsS8evb21FRFsfJPUPt8l9ivKy8MPM71F5pBWEjIc6fA8mPPQojG56m7RPzY+bzg2PjPoHTvbNwNzffsHpfR3ww6ubEB2XjZ53DoHWxVXpiERERETkoFiUIqJmzWyyIq/ChP+uOoJP70xWLIefqx6F5SZUmS3Qa9RIHhgON28D0vcVYuPco/ANc0VwrMd1t282WbBzxVGsnp8KjaUtELwbY+4YiJCIQbb7JqhZC3YLweSJT6C60owFs/7C3hQvpD63GDfeqELCyJshVNypj4iIiIguxKIUETVrlmoLrA7wt/LZnfdyiqsQ6uUEvZMWCb1CEN8zGF89/TeyjxRdV1HKVF2Fn2d8BtORJJQXm+ETWYbuQ4PQsvVTNv4OiM7QGTQYdvcAfBvxCQ4vB9YsbYPNm7/B2Ad6wa1FlNLxiIiIiMiBsChFRM2a2WyFVaX89nuxAa54cUhrOOsvfFoWQiCwhTuyjxZdc5uL583E9lUquFYkwC3iFMY/ORge/k62ikxUJ61ai/v6Po7srtn4ePb7cNnRCbPeO4Le453QqmsghFD+3xwRERERKY9FKRsTQkwGMBmAA4y9IKIrMVdbIQWg9N/I/m4G3HtDi1rPBbR0R8pfJ2C1yqtqa0/KKiz4JRWuha0A12NIuvU0uvUeY8u4RFclwDkA/5r0JpbsnQ+5KRArZu7H/lUp6H9XEpyDQ5SOR0REREQKY1HKxqSU0wFMF0K4Abj2oQ1EZFcWkwU6gxoB7galo2Bp6ikEexgRF+R2wfGAFu4wVVpQmFV22cdXlpqw+c9j2L3KArXWF/499uOh2x6ASq1uyNhEV9Q/fhgQD3hFb8fqn4vxzevb0LdvClqNHKF0NCIiIiJSEItSRNSsmU1WJEV4oe+wOKWj4LUFezG0bdAlRSm/CDcIlUD20WLoAi59XHVlBWZ9+QlK97eCQeOCLiNaonWPjnBycbv0YiIFJfdoh73qLdizoBTLFydi747PMeSRm2Hw9VM6GhEREREpgFPMiKhZs5isUGsd46nQ39WAU8WVlxzX6tTwDXXBqaPFl5xbvfhnvPf8Lyjf0w7Vvgdw6wvtkDwwggUpckgqocLEbvfj/qeGYG/ruTiRF4QZ/96A3PQSpaMRERERkQIc4y8xIiKFmE1WrD6ShymzdygdBf5uBuQUV9V6LuCixc4rSqvx/qsfYs/vPoCwIHlcKZ6eOgXuvh52Skt0/WK8Y/HBI+9AN3I/XLy88NtbKTi09pDSsYiIiIjIzjh9j4iaNXO1BdUaiUqzReko8HPT4+Cp2keMBLR0x66VGagoqcKuVceQsjATuupYuCTuxP2THoZWp7dzWqL60al1eKTv0zD1tGDJl5uxZFY6MjavQa/H7oJKw5cnRERERM0BX/URUbNmNllh1Smd4ozWAW7IKKyo9VxgS3cAwMqZh6E3eaJV1wB0HRkFJ7eB9oxIZHNanRqRY90wr/gXyIODkPvSDIx4diT0nl5KRyOiZkxarTAVF6EkuxTlmfmoOLYPMFdBrddCH+ALva8XoPeArLJCo7FAjWponIwwBAZB7eKidHwiokaDRSkiatYsJiusKgEBoXQU3NIxFLd0DL3keGVFIT5fcQ/KjWOggRVJg6vRe9BNCiQkahhxvvGY+sgUTJ31GuJ3D8N3ryzB6AfbwrO18hsQEFHTU12Qj7wtKSgpLsfpIi1ydhWiusqKqspqVAsjTCpnmHVOsF7wp5L/Ra0U13xcRKbBRXsabq5mOJmt8PI3wD+gAv69e0AfHN6A3xURUePEohQRNWtmkxVS5ThPhZUmC9QqAa36zJJ/xUXpGP/rYGSpJB64YRm6Rj2KuPi2Cqcksr1gl2B8eM97eGne8/Be2xk/f5qNgff7IzzeW+loRNRISasVZelpyN6Xh8xNx1Bw8jROVzujTO8HCA0ANxi15dBXaqBXmeCiLoFeWwiDAfBICIKTjyvUzqHQagWcXAFhqYK5ohLQ6wCdDtUmA6pyimEpLoClMAvmajNMZqDa6ILTpS7IOmrB4WI34LAHxN8H4VyxBoEhpfAL1cGzRRv4RfnC0CICQij/xhgRkVIc5y8xIiI7k1LCYrJiaFIwIjtd/A6o/R3NLcVN767G7Pu7oI2fBUYnH7i5h2KETxL6tJmI8LBeOHSIi0FT0+Wsdcbbo97D1g7bkPunDgs/2YX+w1VoOaCX0tGIqBGoyCvC8dnzkL77FAoq3FFiCEC1ODOVTm1xhru1EgHak/D2OwX/thEIGHATdG7uDZqpuqgU2avX4dSOI8jLMqG42gdHd/nAsrMUKksBfEt+R5RPBmLG9ISx53AIFfehIqLmhUUpImq2LCYrACDAy4gwbyeF0wC+rmcWK9+x+yM8n/8LnmwxEkNv/D/cN3wmAMBiUX4xdqKGplap0TmiIywPWvHf//sGi34PxYDKBYgeMVTpaETkYKpycpC1JQVZB07heLo3CsqNgAiBvtoZXuIkWvucQFC3KHjHxcE1PBQqBQo+OncXhA0fgLDh/ztmMVtxas9JnFh/CId3BGKdORGbZ5Yg6rdX0eYGV3j1uhUq3xCOoCKiZoFFKSJqtsw1Ram/j+Rhh6oat3YMUzSPpfIkeoS8ho9Pl6OH2gXJMTcrmodISWq1CsHjPLHmu51YvCgR0voHYkYOv/IDiajJMldW4fiiFKSt2IjsYjec1odDqvQwqt0REABEhZUh4oZoeCf1gkqtVjpundQaFYISQxGUGIquAHKP5GLPT6tw/FQn7FtuhPvSjQgu2IKYlqXwHjoA+u7DOIKKiJosFqWIqNkyV58pSu3ILAKgbFHq2PFVuGfFI6h0khiLXnjpzo/5ApSavZGtRkHc+RtWzdoOLG4Pq2UeWo0ZoXQsIrKjqtxcZKzbhGO7cnA0Mwgm6KA1RcFXdRwtvXchclAn+PYY0ah/Z/q29EXvF8bCarHixJ587Jq/F6mqAThQUA2/d7ai5asfo9Wzt0Df9x6gEX+fRES1YVGKiJoti/nMdDiLClDq/VSLuRpqjQ4hwZ0wwLUFdmSORmVY+0b94prIlm5uNQrizrlYPmsLxLKOECFZiO0SqHQsImpA5acKcPDLH3D0kBWntNGwqp3gpTciPgEIi/dC8A29oNI47kio66VSqxDZzheR7W5EaWElUlenIXWlwNrKrsj9cxU67x0ETe/XYUhoB6Hhn3FE1DTY5NlMCKEFEADACUCulLLAFu0SETWksyOlrAoVpbbvmoWpW9/CG91eQXyrUfjH2D+QW1IFo67pvdAmqo8RsTfD535vlK/wxLIZ+2AtyUXrftyFkqgpqTh1CkeXrcW+rQI5ZS6Qqji4yxNIcNmDVqO6wveG25SOaFcungZ0ujkGycOikPp3JrbMV+PI4RsRsfR7RFb/E35D28P9wakQBuXXxCQiqo/rLkoJIVwA3A7gNgCdAOjPO5cBYAmAz6WUW+obkoioIZxdU8qqsu9CotVVJfh4wV34tuQg2ql0cHP+385/Zxc7J6ILdQ+9AfJOidKSNKz4NQfI/w2tx41SOhYR1YO5pAQHvvgB+3dVI8cQCwk3+LlXon1gGWKHtoNn3E1KR1ScWq1CmxtDENslAJvnH8Mu61DkWrsi+vsv4f1DMnzGD4X7I69DaLRKRyUiui7XVZQSQjwJ4AUAxwH8AeA/AE4CqADgBSABwA0AlgohNgJ4VErJfcyJyKFYTGem73WP9YWrj9Eu9zx+fDWeXPkYjgsLHvfuiImDPoNaozt3/tt1x5BdXIV/DmpllzxEjYlQCZT1LkBqznFgVSe4+K9EaO/eSsciomsgrVYUpRzHki+2Iv20G0zaaLjJNHQIP4qESTfD6B+gdESHpDNo0GNsNGI6+WPlrP1IUT2LyNL1UM//AR5iKWS/14BWQzn9n4ganesdKdUNQG8p5e46zm8G8LUQ4kEA9wDoBYBFKSJyKGen743uGApXL4Nd7unqEggflR7/6TYVsdFDLjl/4FQp9pwssksWosbojvg7kDv0XaT/eggL5oRjnP9eeMbFKx2LiK6gcPs2HPl7Fw4e0aOwyh86kysi3bIR3y8cQYMnKh2v0fALd8PYf3bAzhUZ2DxfjdygG6DTzYfr2i3If2km/P/xLJw6dVI6JhHRVbuuopSUcuxVXlcF4JPruQcRUUM7O33vRGE5nCxmtPB1aZD7ZGfvwNvLHsXzA7+Et08svrhrc53XuujVKKsyN0gOoqbi8Y5P4om8x1Cw1ANzPz+Acf+KhtFFd+UHEpFdVRWWYN9/Z+HAAYE8QxTUCEBkwEm0aF2G9sMHQOdknzeEmhqVWoWkfmFokeiL5TNSMXfnEMS3NSBUHMSJCXfB84ZI+L3/I1Qu7kpHJSK6IpuN7xRCJNuqrcZMCDFZCJGKM6PFiMiBWWqKUm8uPYAPljXMYM4V69/CmEV3YEd1IU7l7bvi9c56DUpZlCK6LJVQ4d9938CJrqthUnlg0ae7z/17JiLlFezdg6Wv/YFvnv0b69JiYYUanf33YMJL8ej78kR4JEZDrecaSPXl7mvEyCnt0X1MFPbtrcKOTs/AddwAnF53FMcHdYcpdYPSEYmIrsiWe4n+DiDMhu01SlLK6QCmCyHcAHAODpEDM9esKWVpgOUXqiqL8O688fixMg291e54bdgseHhGXvFxLnoNR0oRXQVXnSs+G/sZspOLMe/9FKx4Zw76/mMs11MhUoilvAL7/jsDB09okVUdCYNWhxi/QrQdGw2fxP8tWG6xWBRM2fQIlUBi3zAEtHDHX5/txhI5BgP+0w/ys39A/csoYNg7QNLtSsckIqrTNRWlhBA/13UKZxY4JyJqNMzVVqhUAhK2333v6IlV+KP8BJ4PvBHj+k+76j+Uu7TwxlP9Y22eh6gpEkLAv4UrjscthmXXAPh+/RMS7x2vdCyiZqUkLQfbP/4Zh3IDUKmPgZf5BPoOLEHUkP5QG+2ziQgBAS3cccsLnbDg451YtNoVN3+8Aqpdr6Jy9xYUzN4D/xeeh9rVVemYRESXuNaRUn0B3Amg9KLjAkBPmyQiIrITs8kKtc52oyqk1Yrl699Er86Po3XsCCwOSIK7+7UNIE0IdkdCMNeAILpaKqFCTM9YbMhbDmy9EX6t1iKoRw+lYxE1edmbNmLHkjwcTddByCiEqlLRboAOoSPvVjpas+XkpsPwxxPxx4c7MO/jAxjx5JswHNqKkmnPoHzdKgS//DiM/cYpHZOI6ALX+tfYKgClUsrVF32sArDd5umIiBqQxWSFRquCq0EDZ339ZjMXF6XjmR9uxJNHfsDqTR8CwDUXpAAgr7QK83dmoryaU/iIrtbd8XfDpVsZclyPY9FPOSjPylI6ElGTZK02Ye97n2H2g9/g12/KkZNvRbvwEtw5NRlDv5qC0JHDlY7Y7BmctRj+eCJcvPSY98F2VMV0QOSvc6DWlOP4Y68g74W7IM18jUFEjuOailJSylFSytV1nBtom0hERPZhNlmg1qrw+YQOeGNUm+tuZ8eeH3DLr4Ox3lSAd1rcgr49nrvuto7klOLRH7cjq6jyutsgam6EEHjlhlexre18lECNZTP2QkqpdCyiJsNUVomtb8zEzPvnYNXBaFgrzRg8rAp3vDMY3V8YDZcQX6Uj0nkMzlqMeCIJLp56zH1/O0o0PohYtAHefeNQMH8jzJ+PAEpOKR2TiAiADXffIyJqbMwmKzRadb3aOHh4ESZufR0+Qos5/b/GgBteqld7Z0dscbFzomvjrnfHq/1fgdvASqQfV2Hfeo6WIqqvqoJ8pMxcgm8fX4xNx4PghgIM6ZmP2769D5FDBkGlseWeSWRL5xem5n2wHUXFgN9Hv6HlzPegLT8Ey4LnUJ2ernRMIqL67b4nhAiQUmbbKgwRkT1Zqq3Q6FR47Mft8HXV46WhcVf92PLSHDi5+CG6xQD8J3Mz+nR9BlqtU70zudQUpUpZlCK6Zu3926P90PZYnrsLa3/cjdDgSrhGtFA6FlGjc3r7Nmz9agWOWlrDIjWIDBZIGhoK/459lY5G1+DsVL7f3t6G+dN2YNQzyXBOHAJEtEXO25+g5OPbEPrpJzC2aat0VHJQKSkprgACwcEsdG2sALKSk5NLrubi+r69sQQAn8WIqFEymyxQa1Q4VVwJ1TVswJeycwaeTXkbz0bfigE3vISBPafaLNP/Rkpxy2yi63W89XqUbvPFiv+uxvA3Iq5690ui5i5v20FsnL4AaeoEqK2tEBeWgfb3DIZzcKjS0eg6GV10GPZYO/z2Vgrmf7QTI59qD71HKHyffhaV+/YhbfytCHn1CTiPekDpqORAUlJSVACeV6vVE4QQWqABtqqmpkxKKU0pKSkzAbyenJxsvdzF9S1KsXMSUaNlMZ0ZKXW1rBYzvl14P6blb0aiyoD2saNsnsnVoEFcoBv0Gv4RTXS9EiM74sWoN6Df9zD2zvoFCRNuUToSkUMrPHAA677ajbQid2jRAu1cd6L9k+NgDBmqdDSyATdvI4Y9lojf392GhZ/swrDH2kHj6Ynwrz5Hxu2Dkf7i+wgqyIXbvS8qHZUcx/NarfahgICAamdn53IhBBdqpKsmpRRlZWVO2dnZD5lMJgD41+Wur29Rip2TiBqt89eUEuLyNfaS4pN4fu5YrJIluMe1FR4ZPgsarcHmmQxaNRY+foPN2yVqTpL9k9GlUxsczN8A9YYkhHU7CLeoGKVjETmc7L8WY8fqNBwpjIRR64L2LUrR/qH+0LndrHQ0sjHvYBcMfrgt/vhwB5Z+nYoB9yVA5emH0F9XI/Ougahe8l8gMRjocLfSUUlhKSkpbmq1ekJAQEC1n59fvtJ5qHFydnauAOCdmZk5ISUl5cPLTeXjW/FE1GydKUpd3dOgTueCCmnC9FaT8MToXxqkIHU+7hxGVD9PJj+JfbFrUKktw/JZhyCt/DdFdFbmnwvx+93T8OvvamTleaJXt3xMeLMnuvxjJHRuzkrHowYSFOWBAfcl4NjOPGz47TAAQBidEfTDSnjfdRvw13Oo2LRK2ZDkCAKEEFpnZ+dypYNQ41Yzyk6LM+uS1YlbZhBRs2WutsDoqsVzfVvXOl1OWq34eekTaN9yMKKjBuKLOzfZZW2aXm+vxIh2QZjSP7bB70XUVLnp3PBsj2ewUbcdmcuTkbouE/E3BCsdi0hRmRv2Y8PMrciWQTAiAJ38diPp2XuhcXVVOhrZSWRbH3Qb1RLrfjmM4FhPRLTxgdBogMFvo9K7P47f9RC8J90N36ef5np8zZcKgOCUPaqvmj4kcIXBUPUtSlXX8/FERIqxmKzQaFRIDPW45FxZaTZenXsrFlkK8Hh1MaKjBtrtxZlWrUIpFzonqre+4X3RN7wvlpXsxcZfUtGylRYGXz+lYxHZXf62FGz5fQeO5EbCyWRE18RStJ00GBpnF6WjkQLa9QlFxv5CLJ+xD+Ne7ARnDz0gBAxd+sP/+edw6vU3YNm9GAFfL4LQ6pSOS0RNXL3+wpJSdrBVECIiezObrFDr1Ph5azr+2pN17vihw39h3M/9sdqUj7cjx+DeYd/aNZezXoOyKrNd70nUlJ2O345KUzU2f7VA6ShEdpW/cQPmT3oPP31WiJxCN/TpXYwJn92M9o8OZ0GqGRNCoM9draFSCyz9Zi+s501v9powAYEPj8DprSdx8rbekFWVCiYlouag3m/7CyGMQgin874OF0I8IYToX9+2iYga0tk1pX7ZmoEle08BAExVZXh4zdPQCoGfen+MgT2n2j2Xi16N0moWpYhsJc9Qik2hS7D7eBjydmxXOg5Rgys+mom/nvgWs78uQTYikey5E+PfGIBWt94MtUatdDxyAEZXHfpNisfJg6ex7a8TF5zzeOw/CPnHRJiyTsH6y8OA9bK7uRM5jE6dOsVOmjQpVOkctjRt2jRvV1fXRKVzNCRbzEWZB2ACAAghPABsAvAUgHlCiIds0D4RUYOwVFvOLXQuLGUoK82GVu+MD7v9C9/fuhKRETcqkstZx5FSRLZ0V/xdyIzci2pDLtb9uFPpOEQNpjI/Fxs+no0f3tyNE6W+aONxCBP+0x1d/vMUNK5uSscjBxMS64kOgyKwecExZB0+fcE514n/RMR//wP14d9hXvsVN2ChZq85FIeUYouiVHsAf9d8PgbAKQDhOFOoeswG7RMRNQizyQqNTg0X62GcKHsYU+feAgCIa3UzjE5eiuV6ZXg83hzdVrH7EzU1Ro0Rj3R4BCvC5yOjKAzpq/++8oOIGpGq7GyseeJtfPfCJuza64qENhJ3/l8X3PDWZOj9uI4a1a3jkAgERLphyVd7UVlmuuCcaDsG1tvm4vhrPyP/s88VSkhETZ0tilJOAEpqPu8P4DcppRXARpwpThEROSSLyYqMU5twyPAfnFZZcHfy40pHAgAEeRjh72ZQOgZRkzKsxTDoWlTB5JmHjesNfNefmgRTWSU2Pv8hZj6/EXvK2yLSeAR3vtQOPR4ZCKdAb6XjUSOgUqvQ7554VFdasOang5eej+kF9+HDkfvBByiZ+bYCCYmujdVqxYMPPhji7u6e6OPj027KlClBZ88dOnRI16dPn5ZOTk5JLi4uSYMHD26Rnp5+bvO3DRs2GDt37hzj7Oyc5OLikhQfH996zZo1TgsWLHB9/PHHI0pLS9VCiGQhRPL57dblxIkT2htvvDHKYDC0Dw4ObvPpp596BQcHt3nttdfOvVvwyiuv+MfExMQZjcakgICAtnfccUdYUVFRnXWavXv36vv06dPS29u7nZOTU1JCQkLruXPnnttCdfv27Qaj0Zj06aefnnuHfcaMGR56vb795s2bjYsWLXLRaDTt09LSLtj07r777gvp0KGDIlt/13f3PQA4DOBmIcTvAAYAeL/muB+AYhu0T0Rkc9IqYTZZ8H3WMkR4G9Av6gPEt75B6VgAgL/2ZGPTsXxMHRavdBSiJkOtUuOz/p+hPEZg/oc7cXRrBlp2bFLLTlAzIq1W7PtlAzYuzkaFJh5hYhe6T+oGry6O8eYKNS6uXgb0HBeDZd+kIrKtD6I7+l9w3ueRyaha9SNOvvUVIqLiYeg2WKGkpLSThRXazKIK7fnHPJ105ig/l+qKaovYk1lkvPgxHSO8ygEgNbNYX1ZtvmBRu0gf5yofF73lVHGlJq2g/IKtHl0NGkurALeqa83466+/et9///2n1q5du2/16tUujz32WMQNN9xQOmLEiOIRI0a0NBqN1sWLFx8wmUzi0UcfDRs9enTLzZs3HwCACRMmtIiPjy//9NNP92k0GrllyxYnrVYr+/btW/raa6+lv/XWW0F79+7dAwDu7u5XXGzttttuiygsLNQuXLjwgE6nk1OmTAktKCi4oAajUqnku+++mx4dHV118OBB/eOPPx42efLkkFmzZqXV1mZxcbFq4MCBRW+88Uam0Wi0fvHFF97jxo2L3r17957o6OjqpKSkyqlTp2Y888wzYTfddFOpTqeTjz/+eMQLL7yQ0alTpwoACAkJqf7iiy+8/+///u8UAJhMJvz222/eL7/8csa1/rxtwRZFqdcA/IAzxajlUsoNNcf7A+BqokTkcKrKTVj27T4AQDdvPR6ZuAFqjeNseXw4pwR/7MhkUYrIxnyMPkBrwMe/AJtmrUVk0lioNLZ4KURkP5krV2HDn2nILg2Bv64Kg+8OQUCnvkrHokYuppM/ju/Kw+ofDyAwygMunvpz54RKhaCv/8DxoTfi5JNPocXi9hAeAQqmJaV8ve6Y71drjwWef6xfnH/BFxM6HEsrKNeN/XRD64sfc/w/Q1IA4Kk5OyL3ZZU4n3/u/0YkHLuza3jBLykZnm8vPhB2/rkO4Z7FvzzU7dC1ZoyJial49913swCgTZs2VZ999pnf0qVLXQHg4MGDTvv3798VFRVlAoCZM2ce69ChQ/zq1audevXqVZ6VlaV77LHHspOSkirPPv5su+7u7hYACAsLu6qFX7dv327YsGGD2+rVq/f17NmzHAC+/vrr423atEk4/7qXX3455+znrVq1qs7Ly8t86qmnwgDUWpTq2rVrRdeuXSvOfj1t2rTMhQsXes6ZM8f9+eefzwWAf/7zn7mLFy92Hz9+fKROp5Px8fFlL7744rn73HHHHbk//PCDz9mi1OzZsz0qKytVd999d+HVfG+2Vu9XYlLKX4QQawEEAjh/9dDlAH6vb/tERLa0c/MKbPi5DBqrO4ZMboeINn2QVVQBjaoKvq76KzdgB856DUq50DlRg9iSvQWf+X2N0aeexoFf/kDrcaOUjkR0VQo2bcLfn25Ahr4tvPVqDB8LhPYZr3QsaiKEEOg1PhY/vrYJK2amYtijiRAqce68ysMHoV98g+rPb4P4fRJw51zAgd7QI/uY1D0yd2BCwOnzj3k66cwAEOblVD3nwa776nrsu2MTj9U2UgoAxiSHFHaK9Co7/5yrQWO5noxxcXEV53/t5+dXnZubq927d6/B39+/+mxBCgCSk5MrXV1dLbt37zb26tWr/P777z/15JNPhv/444/eN954Y/Htt99eGB8ff82jtQBg7969BrVaLbt3715+9lhCQkKVm5vbBd/X/PnzXd94442Aw4cPG8vKytQWi0VUVVWJ4uJilZub2yWjsYqLi1XPPvts0NKlS91zcnK0Nder0tLSLvhDZtasWcdbtWqVoFKpsHPnzr0q1f9mBD700EP5b775ZvDy5cud+/TpU/bNN994DxkypKC2+9mDTd4elFJmA8i+6NhmW7RNRGQrv836DOnrw1ChL8K9T3eBT7APAODRH7YjwscZ74xtp3DCM5z1GlSZrTBbrNCobbH0HxGd1d6vPZyD1CjO3IvNawMRM6ICauMlsw2IHEZFXhHWv/0HDhb6QSPC0cVvJxJfeBhqvWO8kUJNh8FZiz4TWmP+Rzuxe3UG2va+cIqztnVHaJ+cBTn3EZTM/xWuN4+DEKKO1qgpCvY0moI9jabazhl1anl2ql5t4oLqnorn72Yw+7sZbPKOrFarvWDRSCEErFYrpJS19tea4xIA3nvvvcyJEyfm//777+5Llixxf+edd4K+/PLLoxMmTDh9rTnqWrvy/OMHDx7UjR07Nvr222/P/b//+79MX19f84oVK1yefPLJiOrq6lr/cT388MMhq1evdvv3v/+d0apVqyonJyfrmDFjWl58/ebNm50qKipUKpUKGRkZ2oiIiHP/34KDg8033XRT0VdffeXTqlWrqtWrV7svXLjwwLV+j7bCv3aIqMmrrqzAtDfeRdbaaFR4HcCDL94En2BfpWPVyUV/5v2CsqrreoOIiC5DrVLj/rb3Y2HIPJSaPbDnx3lKRyKqlTRbsG/OfHz/wlocLPBFK5ejmPB6FyS/9iQLUtRgwuK90ebGEKz/7QgKsspquaALytq9i5PPvYbCWbPsH5DoOiUkJFRmZ2frDh8+fG5NrJSUFENpaam6TZs2lWePtW3btmrq1Kk569atOzRgwIDCb7/91gcAdDqdtFqtV12FTUhIqLRYLGL9+vVOZ4/t2bNHX1JScm602Pr1653MZjM+//zz9D59+pS1bdu2KjMz87JDEDdv3uwybty4/AkTJpzu1KlTRWhoqOnkyZMXPObUqVPqBx54IOKxxx7LHjNmTN6ECRMiS0tLL8h+zz335M6fP9/zgw8+8A0NDa3q379/Lf/g7YNFKSJq0sqLq/HFa79CnGgLXVwKnn31UXh4X7hZhqPtwRUb4IrH+0RDrea7j0QNYVDkILj661AcsAspOz1RXcnpsuRYTsz+BXOmfI8Vy50RHGrBuKfi0Pu9h6APCLzyg4nqqeuolnD1MmD5t6mwWi99leTSqxe8xt+CU6+/jrLfPlUgIdG1GzFiRHFMTEz5uHHjWqxdu9Zp5cqVTnfddVdkx44dS3v27FleWloqJkyYELZgwQLXgwcP6pYsWeK8c+dO59jY2AoAaNmyZVV5eblq3rx5rllZWZqSkpLL1lKSkpIqu3btWvzggw+Gr1y50mndunXGe++9N9xgMFjPjtiKiYmpslgs4vXXX/dLTU3VTZ8+3WvGjBmXfec8PDy8asGCBZ7r1683btiwwThy5MgWUsoL/mi4++67wwMDA6vffPPNzM8++yxDSomHHnrogqGPo0ePLnZxcbF8+OGHgePHj8+/rh+qjbAoRURNVvr+DMx5YwsM1aGIH56H+x57Biq1+soPVFhLXxc82S/m3IgpIrItjUqDhxMfhq6XGlUmHVLXZiodiQgAULR7N+ZPeg8LVnqhulxg5HgtBr04HJ6twq78YCIb0erU6HNXa+SklWD3yto34/L7x3NwjnRGxisfoHrn33ZOSHTtVCoV5s2bd8Td3d3cv3//2GHDhsWGhYVV/frrr0cAQKPRoLCwUH3fffdFJCQkJNxxxx0te/fuXfTuu+9mAkC/fv3Kxo8fnztx4sQWQUFB7aZOnXrF1f5//PHH4z4+PqaBAwe2uuWWW6LuvvvuPCcnJ6vBYLACQLdu3SpeeeWV9I8++iggOTk5/qeffrriDngff/xxuru7u7lPnz6tRo0aFdWvX7+iuLi48vPOe69atcp91qxZx7RaLVxdXa0zZ848Nnv2bJ/Zs2e7n71OrVbj1ltvzbdareL+++9XtCgl6prr2FwIIX4HcCPO7Bw45mrPXUW7bgCKioqK4ObmZqO01JhZLBYcOnQI0dHRUDeCwkhj993nH6Bwexx8g/UYNrkzXDwNdV47+r/rEelAa0pVVFuw6Vg+2oV4wNP5f6Nx2YeovtiHLrX0y53I2n8Kd7zeGyqd9soPaObYhxqGubwSG99bgD0nnKCympEYcBjJL09uktP02IcajzU/HsC+jdkYP7UzXL0ufR1lyUnH8eED4NpSC7+v1gAG91pasT32oforLi6Gu7s7ALhLKYvPP5eSktJKo9H8FR0dXerk5FRZewt0PY4cOaKNiopqO3fu3IMjRowoUTrPuHHjwnNycrQrVqw43BDtl5eXGw4dOuRiNpsHJicn76/rOo6UAqYBmHAd54jIAVWUFeGdV99D8ba2MAXuxs1PJl62IAUAvz7UzWEKUgCQV1qFid9swZ7MIqWjEDVpleZKHAtYjpJSDY78uUjpONRMHf9rCX56cSl2pbsjwr0Qd7zUBp3+PaVJFqSocelyc0vojRqs+fFArYs2q/1CET7rO/jGFwK/3gc088EORBf7448/XL///nv3/fv365YuXep8yy23tAgKCqoeOHBgqZK58vPz1XPnznWdN2+e16OPPpqjZBbARrvvNWZSypVCiBuv9RwROZ60I7vw/X+3wLksAe7JuzD5vqeUjnRd/rfQOde5IWpIKqHC92XzMMrdFTv+NiBqhBVCxffryD5yVq7Gmpl7cUrfCsFumRjwRB/4tu6ndCyic3RGDXreGoNFn+3G8d35iGzrc8k1mqhk4JZvULJmPaq/+Rbek+5WICmR/f31118uo0aNiq7rfHl5+XaTySReeeWVkIyMDJ2Tk5O1ffv2pT/++OMxvV6vaAV30KBBUbt373YaP3583siRI4uv/IiG5dBFKSFETwDPAEgGEAhgpJRy7kXXPFxzTSCAvQCekFJyYjNRM5N9tAhLPsmBrtoTSaOLcUPfJ676sc/9tgvBHkY8clOdv1fsyrmmKFXK3feIGpROrcPNUTfj71Or0Tt1ErLWrkNQzxuUjkVNXEVeMda+9DkOWdrCAB/c1D4Dre6dwIIoOaTIRB+EtPLEul8OISzOC2pNLf00qg8q/tyD/C/eg3P7NjAkdrB/UCI769GjR9nmzZtTL3fN6NGji0ePHr3XXpmu1ubNmw8oneF8Dl2UAuAMYCeAbwD8evFJIcStAD4A8DCAdQAeALBICBEnpUyruSYFQG3jn/tLKbmyKVET8Mu3XyJ3S0v4hXti7KROcPe5tnXcDmSXwFLL7jJK0WlU0KlVHClFZAdjY8bim93foJ8hGzuXVLIoRQ1GWq1I/WktNiwvgEmVgDinHej2n3ug8/JWOhpRnYQQ6DE2GrP/tRm7V2UgsW/ti+77PvQQSv+YjcxHJiJy6SYIo7OdkxLZl4uLi0xISKhSOkdTcM1FKSGEEYCXlPLkRcfjpZQ2rQJKKRcBWFTTfm2XTAHwlZTyy5qvnxBCDADwEIDnatpItmWmuggh9Liw+OUKnFmIz2LhaAc60xesViv7gw1Vlpfg0/e/giEzCc4t0jHs8dug1qiu+WcspYSU0qH+30T7u0CrwgWZ2IeovtiHLhXoFIjuwd2xr3AXLAf7oSivHC6eXMunLuxD16fo4AGsm7kRaYUR8NeWotfDbeAVf2aqXnP7WbIPNT4eAUbE3RCELX8eQ1QHXxhddZdepFbD/+VnkfbgP5H7/ER4v/NTg+VhH6o//uzIkVxTUUoIMQbA+wAKxJkq0X1Syk01p78D0N7G+S6XRYcz0/r+c9GpJQC62SvHeZ4DMPXig0eOHIGLi4sCccjRWK1WFBQU4PDhw1BxiH69FeQcw+o/TsK5rA00rTahy8CROHrsyHW1VVFZiaJiKw4dOmTjlNfv3f6+ACovyMQ+RPXFPlS7wZ6DUZpcgaKjKqybvwctunLX3LqwD10ba1kpMr9ajEPmZBi1bujULQuunTogHybkO9DvHHtiH2qcvFpbYN1kxbLvd6JVH4/aL/JvBafesSjdsB2l635DtV+bBsnCPlR/paWKrrNNdIFrHSn1IoD2UspcIUQHADOEEP+WUv4AoNahTA3IB4AawKmLjp8CEHC1jQghFuNMMc1ZCJGBM+tWbbnSuVq8AeC98752BZDRsmVLuLnxxS2deUfi8OHDiIqK4va19XR070Gsn1MBLbzRdkQhbuj3bL3aMxry4O7mguhox1hTqi7sQ1Rf7EO1i8aZf/trDmzC8e256DsuAWodR0vVhn3o6h35eRk2Ls5Hua4TotXb0X3qXdB7X7pQdHPDPtR4WYa6YMNvR9BtWGt4B9f+prt8exbEN4Og2v0OrPeuBDS2fy5lH6q/4mLF17YmOudai1JaKWUuAEgpt9YsRP6bECIKgFILslx8X1HLsbofLOWA6zlXy7VVAM7NKT073VCtVvPJks5RqVTsE/W0f0MWVn1/Ci6uFgyaFIPw6Hb1bvPxvjFwNWgd6v/LPd9ugb+7Aa+PvPBdRvYhqi/2ododKDiAP11+RmT1cKQtWYmoEUOUjuSw2Icur+xUDpb/ZyXSK3zhhSoMGGlF4KD6vXnS1LAPNU5tbwpF6tosrP/1CEY8kVT78irOrsDYz1C5+AtU/PIbPG+/o0GysA/VD39u5EiutSiVI4RoK6XcBQBSynwhRD8AMwC0tXm6y8sDYMGlo6L8cOnoKSJq5KoqS/HJO59Bl5GE1t0C0eu2nlBrbTNk+8ZYP5u0Y0smq0RBabXSMYiaDaPGiMXVy/G4SyL2rAOiRiidiBobS1UV9n73KzaluEGoPdAlvhxJk+/i9CJqMtRqFbqPicKf03fh2M48tEj0rf1C/3iUVsQh98M3YIiLgzHJbiu8EFEjdK2/Je8EkHP+ASlltZTyNgC9bJbqKkgpqwGkAOh30al+ANbbM8v5hBCThRCpADYrlYGoqclMO4D3X/oRmpNt4dJuF3rf2cpmBSkAWLg7C+uP5NmsPVtw0atRVs3d94jsJcwtDIm+iTgcuQ8ni8NQmOpwOziTA0v/dS5+uP9H/L01AFEhObhjahKSHx3KghQ1ORFtfBAW74V1vx6GxWSt8zrveybBEBmIzIcnwFpSaMeE1NyNHj06om/fvi0bqv1OnTrFTpo0KbSh2re1xpD3mn5TSikzpJTZZ78WQgScd26dLYPVtO8ihEgUQiTWHIqs+frsXqTvAbhXCDFJCNFaCPE+gDAAn9o6y9WSUk6XUsYB6KRUBqKmZNOaP/D9O7uhrfBFwvB83PXQE3XtxnndPltzFH/syLRpm/XlrNOgtIpFKSJ7GtZyGBY7L4VeXYw9C/jeEl1ZVWEJljz+Kf5Y4gIJNYb0zEfvFybB4Ot4I3CJbKX76GiU5Fdi54r0Oq8RGg2Cpv4DpiIzcv9xlx3TUXP3+eefp//000/Hr+baBQsWuAohkvPy8hSdzzhlypSgVq1axTVE2/Pnzz/87rvvnmyItm2lvm/fLLFJirp1ALC95gM4U4TaDuA1AJBSzgbwBICXAewA0BPAYCnliQbORUR2cGBTNjb/qIdFW4qRj4Si96BxSkeyG2e9BmUsShHZ1YCIAVCpBaytirA/MxKmKm6ZTXU7sXY3vn96KY5URKKd6y6M/2QkIsaPVToWUYPzCnJGQq9gbF10HOXFdS81oO/UD76juqBo7QFY9i63Y0Jqzry9vS0+Pj78BV7D39/f4unpWfewRgdQ36JUg+64J6VcJaUUtXxMPO+aT6SUEVJKvZQyWUq5piEzEVHDq66swF/f/I1l36SiZZIHHp06Ai1aJSsdy67u6RGJj8dzDQYie3LXu2N63+kYPmYoqqusOLQl+8oPoman7MgRLHv1KyyYlQtXLx3GPNQCPd6ZAo1z7buRETVFnYZGQqUW2DTvyGWv85r6OSInBUG9/BnAVGGndNScnT99z2q14sUXX/QPCQlpYzAY2sfGxsZ98803ngBw4MAB3bBhw2IAwNfXN1EIkTx69OiIa71fZWWlePDBB0P8/PzaGo3GpLZt27ZasGCB69nz06ZN83Z1dU387rvvPCIiIhL0en37bt26RR8+fFh79vz7778feODAAaMQIlkIkTxt2jRvADh06JCuT58+LZ2cnJJcXFySBg8e3CI9Pf3cuuBnR1hNnz7dKzg4uI2rq2vi0KFDWxQWFp6r81w8fa+iokI8+OCDIQEBAW11Ol378PDwhPfff1/RrWGvdaHziym14x4RNVFZ6Qcx46NVcC6ORI9RLZDYr4XNp+vVxg63uCahXk5KRyBqlroEdgEAhIdWYPfvf6N1t1sguC4QAbBaLNj91n+x6XAooPFD716FaD1uJPsHNUsGZy06DW2Bv38+iIReIfANc631OqHVQXv7Z7AseAml8/+A+6hb7ZyUbOp0uhbFGdoLjhm9zfCNqYapXCBrp/GSx4R1LQcAZO/Wo7r0wmlyXlFVcPG1oCRLg8LjugvO6d0s8I+vQj08/vjjwX/++afHhx9+eKJ169aVy5Ytc33wwQcj/fz8TAMGDCj99ttvj0ycOLHlzp0793h4eFicnZ2vub5xyy23RGRkZOhnzpx5NDQ01DR79myP0aNHR2/dunVvmzZtqgCgsrJS9eabbwZ++eWXx/R6vZw8eXLYLbfc0nLbtm37J02aVLBnzx7jypUr3ZcvX34AALy8vCxWqxUjRoxoaTQarYsXLz5gMpnEo48+GjZ69OiWmzdvPnD2/unp6fo//vjDc+7cuYfy8/M1d955Z4uXX3458KOPPqp1yt6YMWMit23b5vzWW2+ldejQofzQoUP6nJyc+taF6kXRmxMRnW/ruj+xcnY5tNYAxA3NQVL/i/cxaBhJoR4OWQT6fM0R5JdW47nBrZWOQtSsvLf1PejDqoG0TshN2Qq/jlwmsrk7fSgDy95YiFO6OARZ9+CmR3rDvU0bpWMRKSq+ZxD2rM7A2jmHcPOUpLrfRPSNQZFmGE698Cq0EdFwas+R4I3Wxk98sfGTwAuOxQ4uwG0/HkPhcR2+Hnjpi9ZXilIAAL8/GIlTe5wvODfk3WPoeG8BdvzgieWvhV1wLrRLMe5ZfOh6oxYXF6u++OIL/wULFhzo27dvGQDExcXlr1u3zuXTTz/1HTJkSKm3t7cFAIKCgszXM+Vv7969+gULFngdPXp0V0REhAkAXnvttVPLli1z/+yzz3w+/vjjkwBgNpvFtGnT0m666aYyAJgxY8bx9u3bx69cudKpd+/e5S4uLla1Wi3DwsLOrd3x+++/ux08eNBp//79u6KiokwAMHPmzGMdOnSIX716tVOvXr3KgTOjwX766adjZ6fojR49umDNmjW1Vol37dqlX7hwoefvv/9+8Oabby6p+Zkovt03i1I2JoSYDGAy6j81kqhZ+W3WZ0hfHw6LoQIj7w1HVNxwu937leHxdrvXtSitsuCHzWl4qn8sdBo+pRDZi8lqwh+axZigjsXBVSdYlGrGpNWKvb9txLq/CqES/rgx5iDipzymdCwih6BWq9BjbDTmf7QTR7fnomX7uhf49xx/G4p/+xFZj96NFss3QBgc781AugpdHs5F3PDTFxwzep8ppHhGVGPSX/vqfOzIT4/VOlIKABLHFyK8W9kF5/Ru9VoXavv27YaqqioxfPjwmPOPm0wm0bp16/L6tH3Wpk2bnKSUiIuLSzj/eHV1tfD09DxXYFKr1bJnz57nvr+kpKRKV1dXy549e4y9e/euNcvevXsN/v7+1WcLUgCQnJxc6erqatm9e7fxbFEqODi4+vw1owIDA6vz8/O1tbW5efNmJ7VajUGDBpVe/3dte/UtSileVXM0UsrpAKYLIdwAFCmdh8jRWa0SG+ceQdbaaFT77cbkKbfD1cO+05rLqsxQqwQMWkU33rjEwPgATFt+CBuO5qNXjK/ScYiajWEth2HWvllwCs7C4eMB6Ga2QKVxrOcHanhFqalY890mpBWGI8LfhBsn94BzkKLLbhA5nLB4b4S38ca6Xw8jvI03NHW8lhJqNQKeehDH7nsGBf95HN6vfGHnpGQTHqEmeISaaj2ndZLnpurVJqBN3VPxXAPNcA206Q4/FotFAMCcOXMOhYeHX5DZYDDYZOFvi8UCtVqNDRs2pKrVF/Z9N7cLi2q1jSS83BIlUspaz9ccPzfNUKPRXDDlUAgBKWufhejk5OSQC57X6613KWUHWwUhouYnJ+sY/vvSTOxYmobuY6Lw9KuP2b0gBQC3fbERr85Ptft9r6R1oCvCvZ3w154spaMQNSutvVojyiMKe8JPoMzigaxNW5SORHZktViw9eUP8ON7x5Bb6I4hN5sx5N83syBFVIfuo6NQVliFXSszLnudoccweHYNR96vf8N66pid0lFzlZSUVKHT6eTx48d1CQkJVed/nB19pNfrrQBgNl9fPaxz587lFosFWVlZ2ovvcf5UPIvFItasWXNueODOnTv1JSUl6vj4+AoA0Ol0Vqv1wnpRQkJCZXZ2tu7sgugAkJKSYigtLVW3adOm8nryJicnV1itVixatMihdubgfBAiUsSurSvw7X82oeq0FzqMBRL7htllQfPGRAiBgfEBWLL3FCxW7itBZC9CCAxrOQyLrSvg4q7CoeMeSkciOyncdwK/3PMVNuW0RbA8iHHPtUfEwP5KxyJyaJ4BzmjdIwjbF6ehuvLyf9z7/vszhA2ohmr9W3ZKR82Vp6en9YEHHsh+8cUXQz/66CPvvXv36tetW2d84403fD/66CNvAIiKiqoWQmDOnDkemZmZmqKiomuqj7Rt27Zq+PDhBffcc0/kjBkzPPbv369bvXq10wsvvBAwe/Zs97PXaTQa+fjjj4etWLHCee3atU4TJ06MbNeuXdnZqXsRERHVGRkZ+vXr1xuzsrI0FRUVYsSIEcUxMTHl48aNa7F27VqnlStXOt11112RHTt2LO3Zs+d1TT+MjY2tHjVqVP5DDz0U8d1333ns379ft2DBAtcvv/zS83rasxWbFKWEEAYhRCchxFAhxPDzP2zRPhE1LQt++RLLv6mAFFYMus8DnW66SelIDuuOLuGYeU8nqFivI7KrUVGj8PvNvyOmSwiObMuFxVyvpS3IwUmrFdtnrMLs9/aiWO2LPgnHMOyrJ+EUHqF0NKJGocOgcJiqLNi1Iv2y16kDI2Ac9yJk2kaYT11+ZBVRfX3wwQeZTz31VNZ7770XkJiYGD9s2LCYhQsXekRFnVnLKjIy0vTUU09lvvbaa8EhISHtJk2aFHalNi/2888/H7/lllvyn3/++dA2bdokjBkzJmrLli3OkZGR55Y6MhgM1qeeeir7rrvuirzppptaGQwG688//3z07Pm77rqrsGfPnkUDBw6MDQoKavfFF194qVQqzJs374i7u7u5f//+scOGDYsNCwur+vXXX4/U52cyc+bME0OGDCl86qmnwtq2bZswefLk8LKyMkUHK4m65htedQNCDAQwE0BtY5qllLJZLsJwdk2poqIiuLm5KR2HHIDFYsGhQ4cQHR2Ni+ccNxdSSiycuQDHNhhR6nkA908ZAS/fEKVjYfjHa5EQ7I7XRzr2TkrsQ1Rf7EPXLu/QScx+9wCG3GxBxED77AjqyJpiHyo6sB+rvt6IjKIwRLrl4can+8HJT9E3jZu0ptiH6Iy/fz6I/Ruycee/usLgXOs6y2dYzMiY8hSsZeUI+/La15ZiH6q/4uJiuLu7A4C7lLL4/HMpKSmtNBrNX9HR0aVOTk7XNU1MScOGDYusKeg4xBzRadOmeb/wwguhJSUlO5TOYm/l5eWGQ4cOuZjN5oHJycn767rOFhWxjwHMARAopVRd9NHsniWEEJOFEKkANiudhciRVJZXYOnXqTi+wRle8SfxzGv3O0RBytGdPF2BqfP2IPN0hdJRiJqdtSfXYvL+KfDQn8LhTZd/958aH2u1CZuffxc/vnMUhSUuGDbaisFv3cKCFNF1aj8gHFazFTuXX+H5Uq2B2+AhKFu7FmULf7BPOGryTCYTUlJSDNu2bXOJi4vjC+dGpL677wGAH4D3pJSnbNBWo8fd94gudXR/Cn7+fA/cqoLQ/962iO7gWNP1vpvUGWq1Y86PKyitxowNJzC2Qyj8XXVKxyFqVjz1nkgtSMW4iF44djAMlooKqI1GpWORDeTtPopl7yxDvjEJEXI7bnr+FhhDQpWORdSoObvr0aZ3CHYuT0fbm0JgdKn7dYtr/34w+GuR8/Z/EDFwHISKSx1T/WzZssXYp0+fVp07dy6ZMmVK7vW0cejQIV27du3i6zq/c+fOvdHR0dV1nafrY4ui1C8AbgRQr7mNRNQ0rV78M7bO10GtckbHcVWI7uCvdKRLuDtdZog5ETVbrb1bw9foiyMtCmA80Arpq//moteNnLRasfWzZUjZZoFW7Y3+SemIfuAppWMRNRlJ/cOwZ/VJbF+chm6jo+q8TggBv8cfRtrzH6J05ltwnfhPO6akpqhbt24VFRUV2+vTRkRERPXmzZvr3JI7IiLimgtSjz32WP5jjz2WX59cTZ0tilKPAJgjhLgBwG4ApvNPSimn2eAeRNQIfff5ByjcHgeTSxomPHoDgsJilY5Uq9fmpyLSxwl3do1QOsoluCEhkXJUQoWeIT2xKmsjbtNF4cjWKkQMVDoVXa+StONY+clKpJ8OR6RbPno/NwRGH677SWRLRhcd2vUJxY6laWjXNxTO7vo6r3Ue9SDcf/gacsdswPoMoGp2K7+Qg9FqtUhISKhSOkdzY4ui1HgAAwBU4MyIqfNXTpcAWJQiamYsFivW/JSK4m1tYQrcgSeevg8GZ1elY9Vp8/F8VHFnLSKqxY2hN+LXQ7/Cp2MQjm0DLGYr1BpOM2lsdr7xMTYdCYdW745ho60I63eb0pGImqzEvqHYvSoD2/46gRtujbnstUEf/hf44iZg509A0u12SkhEjsQWRal/AXgZwH+klFYbtEdEjVhW+kGsmZWJgnSJLqMCkNx/itKRrqiem5A2KG8XHe7uHgHvy6zLQEQNp0tgF/ww+AcEVIbj8LqtyNiXj/A2vkrHoqtUlpGDpS/9iJP6Ngi27Ea/p4fBObKF0rGImjS9kxaJfcOwZeExJPYLg6uXoe6Lg5Nh6vYqCubvg29cFVT6ukdWEVHTZIu3+nQAZrMgRUQpG/7CrLd3IutkMYY/kYjk/nFKR7pqjjpNLtDdiKnD4hHozsWViZRg0BjQxrcNfEJc4eFcgsNz5ysdia7SwV/X4cep63FK3RLdw1Jx8zePsyBFZCdtbwqBTq9ByqLjV7zWGjUCBbPn4vSPPzV8MCJyOLYoSs0AcKsN2mkShBCThRCpADYrnYXInn7/4VP8/Z2ERVOJoQ8HIDiGW2rbQnm1GdvTClFebVY6ClGztSt3F+5Zcg/CQwtwLMsHlqpKpSPRZZjLSrHmza+xdGkVXNVluOWZdkh8/hGlYxE1KzqDBkkDwrBvXRaKcisue62+RSQ8+nVD3odvwpKXaaeEROQobFGUUgN4VgixWgjxkRDivfM/bNB+oyKlnC6ljAPQSeksRPYgrRKfvfsBMtfEoMrrEB56aQCi4hpX97/3hkgMSghUOkatjuaWYeQn63Ekp0zpKETNlpPGCVuyt6CynROqrC7IWL1W6UhUh8z5f+KHx/9A6rEg3NC1AGP/exs8Y0OVjkXULLW5MQR6Fy22Ljx2xWt9Hn4Y1iorCt540g7JiMiR2GJNqTYAzm69mHDROQdeqYWI6qu60ozl3+6D+VBbqGJS8MzjU6BSN76dU0YmhSgdgYgcWEuPlvAz+mGHcxoCdMCRzaUI7690KjqftdqEjS9+iB2n28DFZMGou13h151bJRIpSatTI3lgONbNOYT2A8LhGeBc97UxifC8MRYFS3bCOzcNKt8wOyYlIiXVe6SUlLL3ZT5uskVIInI8B3avx+cv/o70fQUY/FAbPDTlmUZZkAKAvw/lYs/JIqVjXJZkjZ9IMUIIdA3qig3ZG9EysgJHM31hMXFKraMoOnISvzwyG9uL26Ol2IVxHwyFX/fuSsciIgDxNwTB2UOPLQuuYrTUSx8iYnAFVFun2yEZ0f/Mnz/ftXPnzjHu7u6JRqMxKTw8PGHUqFERJpNJ6WjNAvc0JqJrtnT+d/jzs3yUm6zoe78PIts17p2o3li4Hz9vTVc6Rq0cdQF2ouama1BXHCw8CO++HVFldcHJQ45dyG4uji9ajDnv7UGRxRV9ewEDPnsGOk+uaUjkKDRaNZIHReBQSg7yT5Ze9lp1YAT0Qx6FPL4JlsICOyWk5m7r1q2GMWPGRCclJZUvW7Zs/9atW1PffffdNK1WKy0WC1+J20G9i1JCiOeEEJNqOT5JCPGP+rZPRI7DarHg60/ew/4/A1DtnImJ/+iAFvHxSsdq0jQqFTyctFCxOkWkqB7BPTC9z3SEtW4JN18jjqTkKB2pWavKy8OyZz7Gn/O0CPDOx7hXuiL2Ng7QJ3JErbsFws3bgM3zrzxaCt0ew4m1ITj15tsNH4wIwMKFC918fHxMn376aUbHjh0r4+Pjq8aMGVM8e/bsEwaDQRYXF6tcXFySvvnmmwve8fjhhx/cjUZjUmFhoerAgQM6IUTyjBkzPDp37hxjNBqTYmNj45YtW3bBnNUlS5Y4d+zYMdZoNCa5ubkl9ujRIzo3N7dxTjWxIVusKfUAgPG1HN8L4CcAb9rgHkSkMIvJih8+mIOKI4kwh27DlKcmQ2cwKh3LJhx5YlxsgCt2vHxm8RqLxaJwGqLmy13vjp4hPQEAUaEFSN2Yi563toBap1c4WfNzcv6fWPrraVRoo9Aj+STa3n87hIqD/4kclVqjQofBkVgxcx9yThTDL9yt7os1OrgNHoRT//o3vEb1haFTH/sFpSvKLM3UZpdla88/5mHwMLdwb1FdYa4Q+/L3XfLHQXv/9uUAcKDggL7MVHZBASbcLbzK2+htySnP0WSUZOjOP+eqc7VEe0ZXNcT3cb6AgABTXl6edtGiRS6DBg26ZDifm5ubddiwYQUzZszwvvvuuwvPHv/22299Bg0aVOjp6WnNyTnzRtWrr74a/Prrr2fExcVV/uMf/wi+6667Whw/fny3VqvF+vXrjcOGDYsdO3Zs3rRp09K0Wq1csmSJq9lsbvbvPNuiKBUAIKuW47kAHHM7KyK6JkW5p7HsmyMoTfNH6A0ZGH7700pHIiKyux05OzDn4Bw8ljgc27aVIXvDRgT36qV0rGbDarZg41u/Y8dxV7hIC0aOUSNgwJ1KxyKiqxDb2R/bFp/A5vnHMPSRdpe91nP0aBR8+G/k/vt5hM7bZKeEdDVm7Zvl+13qdxf8jd87tHfBtJumHTtZclJ31193tb74Mbvv2p0CAC+sfSHyQOGBC0YOvdD5hWPjWo0rmHd4nue07dMuWN0+yS+peOagmYca4vs436RJkwqXLFniPnjw4FgfHx9TYmJiWe/evYsffPDBfC8vLysA3H///bn9+vVrffz4cW1ERIQpKytLs3LlSve5c+cePL+tRx999NS4ceOKAOBf//pXZocOHeL37NljSEpKqnzjjTcCEhISymbNmpV29voOHTpUNvT31xjYoiiVDqA7gIvHY3YHkGmD9hsVIcRkAJPB9bqoidi4eh7W/mqGm8YVI6d0RkCL3kpHsrmWvs4IcDcoHaNWh3NKce+MLfjvHcmI8at71xoianiVlkr8ceQPTBh8J4zqTKSlFLEoZSdlJzPw1/spyC71QrTLcfR+ZzS0bu5KxyKiq6RSq9BxaASWfpWK7KNFCGhR979fYTDAd+JoZE77BRVLf4Kx3zg7JqXLuaP1Hbl9w/qePv+Yh8HDDADBrsHVMwbO2FfXY//d49/HahspBQAjokYUJvsnl51/zlXnavMpAuPHjw+bO3eu99mvy8vLt2s0Gvzyyy/Hjx07dnLhwoWuGzdudHn//fcDp02bFrhp06Z94eHhpt69e5e3bNmy4vPPP/d+/fXXsz///HOvwMDA6otHVrVvf2ZUGACEhYWZACA7O1sDAKmpqU7Dhw8vBF3CFkWpLwF8IITQAlhRc6wPgLcAvGuD9hsVKeV0ANOFEG4AuAoqNWo/z/gYWRujYHYqRP8HW1z2BURj9vH49kpHqJPJYsXx/HJUm61KRyFq9pL8kqBX67ExZxPC/C04kaZHV6VDNQPH5/+JFX+ZAJUG/frqEDPmkqVMiagRiE72R8qiE9j0x1GMeCLpste63T8VxX/8BsvW2QCLUg4jyCXIFOQSVOuWdEaNUZ6dqlebWK/YOqfi+Tn5mf2c/Bp8W9u333478/nnnz9V27nIyEjT5MmTCyZPnlyQm5t7MiYmJuGDDz7wff/99zMBYMKECXlffPGF3+uvv579/fff+9x22215qoumjmu12nOrgoia9WDPLpZuMBj4Yr4OthjN8xaArwB8AuBozcdHAKZJKd+wQftEZGem6ipM+887yN0Qhyrf/Xhk6jBERF/+xQM1LEde94qoudCr9ejg3wHrM9cjLN4H+ZWBKDvZ7AaF242lvALLJ7+FPxfo4WUswLjn2yNmTA+lYxHRdRIqgU7DIpGxvxAnD1x+wIjQaBD66mNwqV4NFPN5lmwjODjYnJCQUHX2o67rfH19Lb6+vqaysrJz9ZL7778/Pzs7W/evf/3L78iRI8b7778//1ru3bp164o1a9a41id/U1XvopQ84x8AfAF0AdAOgJeU8rX6tk1E9ldVYcaC6dugOp4IXdx2PD31Ubi4eV/5gY3Y8I/X4rX5qUrHIKJGoGtQV6ScSoF/zy6AANJOKJ2oaSpMPY7ZD/2AA+YktHXajuGv3wmnwCClYxFRPbVI9IVPqAs2zT8KKa/wllu721AZORElf3NdKWo4b7/9ts/tt98e9ttvv7nt3btXv3XrVsNDDz0UfOTIEeOIESNOn73O19fX0r9//8LXXnstpHv37sUtW7asdcRYXV5++eWs3bt3O99xxx1hmzZtMm7fvt3w5ptv+mZlZdli9lqjZrMfgJSyFMAWW7VHRPa3Z9sqbPtNoKpMYOAD0YhK6qt0JLuoNlthvdILIyIiAH3C+sBd7w69pxv8I9yQtrcArbuxWGJL+2b/jb+XFkGt9sSgGwoRecczSkciIhsRQqDzsBb485NdyDpchKBoj7ovNrjh9AkvFH/2Lpz7DYFKp6v7WqLr1K1bt7J169a5PvbYY+G5ublaJycnS1RUVOV33313eMiQIResGXXvvffmzZ8/32vixIl513qftm3bVv3+++8HX3rppZCePXu21uv11nbt2pXdc889Bbb7bhqnZl+VI6IzFv72DQ4s94XQlWPiP4fCw99J6UgEINTLCd/c3RGRPlzknMgRhLiGIMQ1BAAQ5l+AXVtMsFbHQqXTXuGRdCWWigqs/+gn7DoajgB9CQa+0A/OQT5KxyIiGwtP8IZngBO2L027fFEKgOft41H4/fco+eoNuD801T4BqVnp3r17Rffu3S/etK1WJ0+e1Hp4eJjHjx9/+vzjsbGx1VLKlPOP+fj4WC4+NmTIkNIhQ4bsr3foJoY7xBE1c1aLBZ9/+C6OLAlFlVsa7vxnFxakHIiLXoPesX5wN/IPXiJHsSdvD/67878Ia+WGKosRp7ZyoHh95f29Fj898jP2HA1Cj845GPXxOBakiJoooRJI7BeG47vzUJhddtlr9S1awLmFMwp++gXSynWiSRklJSWqrVu3Gt57773AO+64I89gMHCKhQ2xKEXUjJmrLXj/1ekw7UuCjNiOp169B97+YUrHovPklVbhw2WHkFVUoXQUIqpxrOgYPtnxCVTxkdCrSpG29bDSkRq1nW98jF9mFKHKYsDwEUC7u8ed27WIiJqmmE7+MLrqsHN5+hWv9bz9NlSeMqNy6Ww7JCO61NSpUwO6dOkS5+PjY/rXv/6VpXSepoZFKaJmqrSwCr+/uw3G/Nbw7ZaKx/75DLQ6vdKxFPHpHcl4+MaWSseoVX5pNd5fdhBZRZVKRyGiGh0DOgIAdhfsQZhvHtKOs4ByPaqLSvHnE99h7Yk4BFgO47Z/dUPwoAFKxyIiO9Bo1Wh7Ywj2b8xGeXH1Za91ufUx+HRQQ5Ox0E7piC703nvvZZrN5m0bNmw46O7uziF7NlbvNaWEEO/VcUoCqARwGMA8KWWzX8CLyFH8vewX7PrDABdnT4z9Rxf4hvVTOpKiIrheExFdgwDnAPg5+WFX3i4MigvH8pUeKM/KglNgoNLRGo3T+/dh4RdHUVTmi05xxUh+7BGo1GqlYxGRHSX0DEbKX8exZ3UGOg1rUed1QqOF78MPAsteAUpzAGPT3hWaqLmxxUipJAD3ALgfQC8ANwK4r+ZYHwDvATgshIizwb2IqJ6+/+pDbP/VDSX6Uxg+JRa+Ya5KR1Lce0sOYN6Ok0rHIKJGpK1PW+zK3YXQG28AAKSnKRyoEUn95Bv8/OFRSHMZRj8Wh45P3syCFFEzZHDRonW3IOxefRLmasvlL066AwUej6Fg3jL7hCMiu7FFUWoegGUAgqSUyVLK9gCCASwF8GPN52sAvG+Dezk8IcRkIUQqgM1KZyE6X3VlBd7/1zs4vaUNqgP24IlXboGnLxeRBYC/9mZjR/pppWPUisuqEDmmoS2Hom94Xzj7+8In1AVpqRwQfiXmslIseeBtrNwVjiBDOsa+1h9+bbiOIVFz1q5PCKrKTNi/MfvyFxo9UFUokffpfyGrLz/dj4gaF1sUpZ4B8JKUsvjsgZrPXwHwrJSyHMBrAJJtcC+HJ6WcLqWMA9BJ6SxEZ1WWmfD1v36HJqMdnNruwJQXH4fBmSOkGgNXgwYjEoPg6aRTOgoRnadPWB/c3vp2AEBYUAnSU45Bmq/wTn8zdvpQBn6ePAeHZSLau2/H4Hfug87dQ+lYRKQwd18ntEjyxY5laZDWy29o5nXrGFhy81D61b/slI6I7MEWRSl3AH61HPcF4Fbz+WkA/IuKSAGZR09izn+2QlMRgnYjS3D3w1M4TaIWAo45JCnQ3YgPxyUhkuteETmcLdlbsC9/H8Jb6lBhdkLu9hSlIzmkY8t34uc3t6Fc7YHBN55G1zef4u8hIjonsV8YinIqcGxX3mWv07eKh1OEEYW/zrdTMiKyB1tN3/taCDFSCBEihAgWQowE8BWAuTXXdAJw0Ab3IqJrMO+nz/HzOzthlWW45bmO6DlglNKR6BpVm61Iyy9HpYkjMIgczVtb3sKP+3+Ef5dO0IlypG0+oHQkhyLNFmz95DssmpMLT1cLbp3aHRHjxyodi4gcTECkOwKj3LFj2ZUX5/O67VZUZpmg27bUDsmIyB5sUZR6AMByAD8BOAEgrebz5QAerLlmP4B7bXAvIroKVosF/33vbWSsikKV5xHc/GQ83HyMSsdyWLd2DEP3KMfcyeVEfhl6vr0SezOLlI5CRBdp49MGu/N2Q63TI8QnByeOXn7qSXNSdvQIfr33U2zaFYzkuEyMfnsYXMNqG1hPRAQk9g1D1uEiZB+7/Osdl/FPInSICl5Va+2UjIgaWr2LUlLKUinlfQC8cWYnvvYAvKWU90spy2qu2SGl3FHfexHRlZWczsM7U6fDejAZIioFT7/yINy9uU355dzTIxJ9WvsrHYOIGpm2vm1x5PQRlFaXIry1O7LLglCelaV0LMVl/P4HZv9fCgrUoejTLg2dH5sAlUajdCwicmARbX3g7mfEjqXpl71OaHVwGnkfXE5thjRV2CkdNXXz58937dy5c4y7u3ui0WhMCg8PTxg1alSEyWQ6d83bb7/tExsbG2c0GpNcXV0TW7duHffCCy8EnN9OQUGB6tFHHw2OjIyM1+v17X18fNp169YtZsaMGR5Wq9Xu31djUa+ilBBCK4RYKYSIqSlO7ZJS7pRSltoqIBFdvZKCSsz7YA/0BdEI7HkQDz/9DNRardKxHN6O9NM4nlemdIzLkhyAQeRw2vq0hYTEnvw9iOjTA4AKxw+blY6lqO2f/In5C3XQWssx5n5/tHpootKRiKgRUKkEEvuG4ej2HBTlXr7YZG1/Nw7t7Y6Cr2baKR01ZVu3bjWMGTMmOikpqXzZsmX7t27dmvruu++mabVaabFYBAC8//77Pi+//HLogw8+mLNly5bUlStX7n/iiSeyS0tLz9VT8vLy1J07d249Z84c7ylTpmSvX78+dcWKFftHjx5d8NJLL4UUFBRwMcU61OttKymlSQiRAIB/LhEp7O+lv+DgYl9odTrc+nQcAloMUjpSo/H0nJ3oFeOLl4bGKR3lEsIx118nIgAR7hHoHNgZFqsFToH+CIzKwLHdhYi7IVTpaHZnqa7Cuk8WYvd+d4QZMzHgnTHQubsoHYuIGpHYLgHY9MdR7FyRjp63xtR5ndC7AB5eOP3Tj/C9ZyKEwcmOKampWbhwoZuPj4/p008/zTh7LD4+vmrMmDHFZ7/+888/3YcMGVL45JNPnluNv0OHDpXnt/PEE08Enzx5UpeamronIiLi3BCrtm3bVt17770FTk5OHCpVB1uMpZ4J4B4A/7RBW0R0Hb7/4kPkb2sN4Z6Ge5+7FUZXbnZJRNTQVEKFL/t/ee7ryEgTNi3Ph6kkElpXVwWT2VdJaiqWfrkZp8qD0KMX0ObW8VCpbLFsKRE1J1qdGm16BWP70jR0GhoJg3Pdo/3VfbvBsnQpSma8BbcHXrFfyGbOlJmpNWVlXfA/Ru3pada3aFFtragQlamplyxi65ScXA4Alfv3661lZReMFtJFRFRpvL0tppwcjSk9/YI/YFSurhZDTExVQ3wf5wsICDDl5eVpFy1a5DJo0KBaZ3z5+fmZNm7c6Hrw4EFdTExM9cXnLRYL5s+f73XzzTcXnF+QOsvd3Z0FqcuwRVFKB+BeIUQ/AFsBXDAHRko5xQb3IKJaVFdWYPo706HLaI/qwB145On7YHBmQaopaenrgqOvD4YQAOeiEzkei9WC9JJ0RLhHIDLBA+uXliN99Vq0GNo8RqumzfkNSxZJQO2OEXc5IahHD6UjEVEjltArBNuWpGHPmpPoMCiizuussYlwCjOg4Oe5LErZUcGMmb4FM2ZcsFity003FYR+Mv2YKSNDd+L2O1pf/JjW+/elAEDmP/8ZWbX/gPP55wJefvmY5/jbCop+n+uZ+/77YeefM7ZvXxzxw/eHGuL7ON+kSZMKlyxZ4j548OBYHx8fU2JiYlnv3r2LH3zwwXwvLy8rALzxxhtZI0aMcIqNjW0THh5elZycXDpo0KCiu+++u1CtViM7O1tTXFysjo2N5UJn18EWRakEANtqPv9/9u47vM3qbuP4fSTZkvcesRM7OyGEkEESZsLes0Ch0BZKCy2jFAq8LS2UDiiUQkspq2W1hVKglFH2DDsQMsnew3GG7XhvSzrvH07SkNjKsKRHtr6f69KV6NHxo9vJ8WPppzN2HmfJtD4gQprrW3Tvbf9QSt2BShkzV5d//0dyuZmqvK9idZacMYYpfEAMe3vd27rhgxv04XkfKmvESGV552j1nBYNPtXpZJE3646/acaqfkoPlOuUq8cpc+w4pyMB6OWS0xM18uBCzZ+2XuOOLZE7oftRlxlfP1ub7nlCHfOnKeGAo6KYMn5lX/TtyrTjj6vd8Zg7K8svSQn9+7eX/vPJxd19bdEdd6zuaqSUJGWcdWZN8kETvjK4xZWWFghb8K0uuOCCkhdffHH7ltvNzc1zPB6PnnvuuTWrV68uf+2119I+++yz1D/+8Y/97r333n6ff/754tLS0o7S0tKOuXPnLvniiy9877zzTtr06dNTr7rqqkGPP/547ocffrh82wfHhhft+6THRSlrLVcAIMqqNzbptQe+VHpzqYafulnHnsqAxJ7IS/UqzRebC8Kvr2nWj56eq9+cMVojClJ2/wUAompUdudadIu2LNJhxYdp0MA2LVqeo6Df32d3nAv6g3rr/57WqqYSDXQt1vF//qYS0jOcjgWgjzjwmAFa+PEGLftik/Y7tKjbdqkXXqthVU/Jvfp5iaJUVCQUFXUkFBXtMj1NklxJSXbbVL2u+EaO7HYqXkJ+vj8hPz/iO4X8/ve/3/Czn/1sc1ePDRo0qOPKK6+svvLKK6srKyvLhw8fPvqee+7J++Mf/7hhW5uJEye2Tpw4sVVS5Ztvvll54oknjnjttdfSTj755Ib09PTAkiVLdpm+iN0Ly6slY8wRkr4vabCkc6215caYb0laba39OBzPAaDTK889orXvD1B2fqYu/MVUZeRx7eupf112sNMRutXmD2rW2ho1tcf3jl5ArBqQNkBpCWn/K0odPEKzl7Zo84wZ6nfooU7HC7vmjeVa+NgMVbX016SRjZp4zZVORwLQx2QVpmjQmFzNebtMIw/p1+3oE5Pok/vgbyu4YalMR4cMO05jN4qLi/3FxcW7fVGdl5cXyMvL62hqaup2qN7YsWNbJKmxsdHldrt16qmnVr/wwgs5a9as2bDzulL19fWupKSkYAJ9tEs9XoXSGHO2pDcltUgaL8m79aE0ST/r6fl7G2PMlcaYRZJmOJ0FfUswENBf7rlLa94ZqMb0FTrrugMpSMURy2RoICYZYzQyZ6QWbVkkSco/6CB5vUGVVWQ5nCz81vzzWT3765lqbEvX6d9M0sRrTnc6EoA+auxxJarZ2KSyxdUh23WMvFjL7pyrxk8+iVIy9DW///3vcy+88MKS559/Pn3hwoXemTNn+i6//PLilStXJp1xxhm1knThhReW3HDDDf3eeuutlGXLliW+++67Keeff/6grKws/1FHHdUoSffcc095YWFh+8EHH7zffffdlzNr1izf/Pnzvffcc0/OAQccMKquro51VroRjpFSN0n6gbX2H8aY83c4/qmkX4Th/L2KtfZ+SfcbY9Il1TmdB31DY90WPXDXk0qpHC8Nnq3rr/2R3FTaw+a8v0zX4UNz9cNjhjkdBUAvNCp7lOZVzpMkuRIS1H//ApUta9Ykh3OFi7VWM2/6o76oHK3MtnU64ILBKjw4dkeYAuj9+g3JUFa/FC39bJNKRuV02y6hsFCJ/YtV/5+nlHbkkdELiD7j0EMPbfrkk0/Srr766tLKysqE5OTkwNChQ1ufeOKJFaecckqjJB133HH1f/vb33L//ve/59XW1noyMzP948ePb3zjjTeWFRYWBqTO0VVffPHFkl/84heFd911V78NGzYkpqenB4YPH9586623rs/Ozg77Gll9RTiKUiMkfdjF8XpJmWE4PxDXGmva9Pjtb8nbOEIFhy3WOd+63ulIfU5lY5sa2pgeB2DfXDPhGnlc/3tJNaAkoA/m1Kitukre7FwHk/Wcv7lNb/7sWa1pHavBmqOj7/2uVm/c5HQsAH2cMUYjJhdo5mtr1N7qV6Kv+7etaftnqvrVDxVsqJErre+NUkVkHXbYYS2HHXbY6lBtLr744tqLL764dnfnysnJCdx///3l999/f3nYAsaBHk/fk7RR0tAujh8uaVUYzg/ErbWLy/TvO75QqinWod8I6JxvsXZHRMTw1Li8NK/uPvdADcplkXMgVm0rSNmt82wHDE+VtS6Vf/K5k7F6rKm8TP/++Vta21ygg4fX6KS/XidPaprTsQDEiWETC+RvD2r1vKqQ7dLPu1RBv1Hjs/dHKRmAcApHUeovkv5kjJmszrd2RcaYCyXdJemBMJwfiEv/euzPeuneRfKm+XXezw/WxCNOcToSHJDuS9DZE/orL827+8YAHHP+K+frsQWPSZLSBw9VZmKF1s3vcoOfXmHz9On69+0z1BawOvXreZrw47OdjgQgzqTnJKnf0AwtmxF6dKZ3/FT5Cjxq+2JalJIBCKceF6WstXdKelHSNEmp6pzK94ikv1hr7+vp+YF409Hepj/dfpeqZ+yvtvxFOuvacUpOT3Q6FhxS19KhJz5bq831rU5HARBCckKyFm5ZuP3+gOJmrduYJhsMOphq3yy4+yE9/1idkkyzzr1hrEqOHed0JABxavikQpUtqlZzfXvIdgN/dbHy+i+Q2puilAxAuIRjpJSstT+XlCtpkqSDJeVZa28Ox7mBeFK1aY3u/sVjcq0dK9/oObruF1crKSXD6Vh93t1fP1AXTi5xOkaXqpvadfOLC7S6ihdZQCzbL3u/7TvwSdKAA4rV0JGjuhXLHEy1d4LBoD649i59sHy4CjuW6sxfnKiUAbF5bQQQH4ZOyJdxGS2fGXrkqTngTNmc4QqU955rLoBOYSlKSZK1ttlaO9NaO8Na2xiu8wLxonZzs165d6W8DQM07IT1+u5V18nlZufQaBhXkqXSHNZsArDvRuWMUnljuWpbayVJxYdNlstYla02zgbbQ+31TXr5h09pQct47Z8wU2c8cqW8eXlOxwIQ53wpCSodnaNln+9mg4WcIVo3fbA2P/R0dIIBCJt9KkoZY/bqYzNjTPG+PA8QL955+Wn9+/YZSkxM0bd+eohOPOtipyPFlYc/XKVpSyucjgGgFxuVM0qStKi6c7RUYkamikZka/WSZidj7ZGm8jK9eNs72tCRpykHdejIP/+fXJ5wbNAMAD03fFKhKtY2qHZz6Otp0rhxanjvXdnW2L/uAviffR0p9YUx5mFjzKTuGhhjMowxlxpjFkj62j4+D9CnBQMBPXzv3Vr8aq4C6WU6+ycHKXdAjtOx4s5TM9bps1VbnI7Rpd4xxgJAaXqpnj31WU0smLj92OARCSpfskWtW0LvHOWk9S+9rH//doaaGwM666ohOuB7JzgdCQC+YuCYHCX63Fq6mwXP08YNVLChSc2vPRGlZADCYV+LUvtJqpP0hjFmszHm1a1Fqj8bY540xsyWVCHpYkk3WGv/HKa8QJ/R1FCju399r9oXjZMdOFffvenr8ibxyTS+KinRrcOH5irdl+B0FAAhuIxL++XspwT3/35WB41OU9C6tPa9TxxM1r0Fdz2ol1/xKLG9Uef+dIIKxwx1OhIA7MKT4NaQ8fla9vkmWWu7beebcro8KVLDay9GLxyAHtunopS1ttpae72kIkmXS1qmzoXOh21t8k9JE6y1h1lrXw9LUqAPqa3Yoj//6gUlVoxSzsGLdPVPr1dCotfpWHEr1AscpxWk+/Tk9yZrVFG601EA7Mb7Ze/r/z78v+33UweUKj+5XKu/jK2RUsFgUB/e+Bd9sGKECjuW6ezbT1HKgFKnYwFAt4ZPKlB9Vas2r67vto1xuZQ2bqDaVq2RYvi1HYCv6tFC59baVmvt89baa621Z1lrT7TWftNae7e1dkG4QgJ9ScXaBr34hyVK68jXxK836fyLr3I6EmJYMGjV1OaXP9D7tpUH4k1TR5NeX/266trqth8bPMxobVU/+ZtiYw+YjtYOvXLtM5pfM0yjfF92Lmiem+t0LAAIqWh4llIyvbtd8Dz/hutUOmWDtHFudIIBcc4YM+GJJ57I7Mk5wrb7HoDd+/S9l/T8XV8oJdOri391nA49iuXWYsHJB/TTgf0znY7RpbKaZu1/y5uasaba6SgAdmPbYueLqxdvPzb4yPHyW5/K3v/IqVjbNW/cqJduekYb2nN1+IHNOuqea1jQHECv4HIZDZtYoOUzKxQI8UGda+iRUsEBCmxeG71wiBlnn332QGPMhJ1vRxxxxLYZXSouLj5g23G32z0hPz9/zNe//vXSysrK7duev/LKK2nGmAlVVVV9civ0cBSSwomiFBAF/vY23f/7P6jly4lqyV2kM689UCmZTNeLFf934kidfEA/p2MA6OVK00uVkpCiRVsWbT+Wtd8oZWW0aVV5toPJpIpp7+vZX36k+pYUnXVJhg68/FRH8wDA3ho+sUCtTR3asKy2+0Zujyqav6a1v3g0arkQW4444oj6tWvXztvx9vzzz6/asc3111+/Ye3atfNWrFjx5aOPPrr6888/T7v00ktLnMrclba2tl32O2ptbe2TeyBRlAIirLpyve665RG51oyTHfKZfnTT5Urwsmh1LFlV2ajKhjanY4TG0ghAzHMZl0Zmj/xKUUqShhw2QisXtaq91e9IrlV/+6de+GeDTGu7zv7hSBVM7HbzZACIWbkDUpWel6SVsytDtvONOUBty1eofcm8KCVDLElMTAyWlJT4d7zl5eUFdmyTlpYWKCkp8Q8aNKjjtNNOa/j617++ZcGCBck9ed6ZM2f6jjzyyKGpqanjUlJSxk2YMGHEwoULvZIUCAR0/fXX9ysoKBiTmJg4fuTIkaOee+657QvGLl26NNEYM+GRRx7JmjRp0giv1zv+oYceyj777LMHHnvssUNuvPHGwvz8/DFDhgwZLUmrV69OOOWUUwanp6ePzczMHHvMMccMWbp0aeKOee65556coUOH7p+YmDg+Ly9vzLe//e0SqXOkmCR9+9vfHmKMmbDtviQ99dRTGfvvv/9+Xq93fP/+/Q+47rrr+nV0dGw/5/z5870HHXTQCK/XO37IkCH7v/DCC2FZ9JYx20AE1Ve16Ik7Ppa3daAGHrtWQ0d/TS53nxwF2qtd/PgXOmVMP/3kxJFOR9mFUZ/8QATosy494FIluL76wcOow4s06/XVWv7SG9r/vOiOUJpz/8uaPi9POe2rdOqvjlfKoMFRfX4ACBdjjIZNyNeCD8vVb0Jet+1SJx8k47Zq+Oc9yvnN41FM2Le1t/pdW9Y3+qL9vDn9U1sTfZ6ILa66evXqhDfffDNj3LhxTT05x7HHHjty8uTJDa+99trSzMzMwLRp01L9/s4Po2699db8v/zlLwV333332smTJzc/9NBDud/4xjeGjhgxYuEBBxyw/ZPxW265pf9vf/vbssmTJzf7fD774Ycfpk2fPj09LS0t8Nprry2z1qqhocF11FFHjZg0aVLDO++8s9Tj8dhf/vKX/U488cRhixcvXuTz+ezvfve7vFtuuWXAz3/+8/VnnHFGXU1NjfuDDz5IlaQvvvhicXFx8YF/+tOf1px55pl1nq3T+P/zn/+kf//73x/029/+tuyYY45pWLp0qe+qq64qlaS77757YyAQ0Nlnnz0kKyvLP23atMV1dXXu6667bkBP/u23oSgFRMi6xRv0zmMrlekt0tjzOzR6/MVavny507EAABF0WPFhuxxLy/apNGudFnyWoFHnBmVckR+oboNBfXz36/pyZYpKEtbqpLsvlCctLeLPCwCRNPSgfM16Y61qytqkbj5LdKVnKWVopho+ma2c6Mbr07asb/Q9f9fs/aL9vF+7fvzifkMzm/e0/fvvv5+ZnJw8bsdjV1555abf//73G7fdv/XWW/vfcccdxcFg0LS1tZkxY8Y0Pfjgg2X7mvHuu+/OT01NDfz3v/9d5fV6rSSNGTNme7Hp/vvvL7zyyis3XXbZZTWS9OCDD5Z//PHH6XfeeWfBE088sW5bux/84AebL7rootodz52UlBT817/+tdbn81mpcwSUMcY+/fTTa11bX088++yza7Kyssa+9tpraV/72tfq77777n6XXXbZpptvvrli23mmTp3aLElFRUV+ScrKygqUlJRsH8J9++2397vqqqs2/fCHP9wiSaNGjWrfuHFj+S9/+cv+d99998aXXnopfdWqVUlLly79csiQIR2S1NTUVH7uueduX69rX1GUCjNjzJWSrhRTI+Pavx67V5VfjFRhSZJO++HBSkpNVCAQ2P0XAjspyvTpi58fq4ykBDGHD4h9zR3N+s/y/2hK/ykqTS/dfnz/Kf316otuVXzxhQomT45ohkBrq6bd+ZSWbhioMYMaddgNF8kVhUIYAERaTnGqMvKTtHlZi3Rc9+3SjpqiisdfVLBijVz5A6OWry/L6Z/a+rXrxy/efcvwP+/etJ80aVL9X//613U7HsvLy/vK/Pkf/OAHmy677LIt1lqtXr068eabby4+/vjjh82YMWOJZx82AJk/f37SpEmTGrYVpHZUXV3tqqysTDjiiCO+sg3vpEmTGhcuXJi047HJkyfvMlpr+PDhzdsKUpI0a9aslLKyMl9qaupXCm9tbW2u5cuXe8vLyz2VlZUJxx13XMPefA8LFy5MXrBgQcqf/vSn7QvtbivaNTQ0uBYuXOgrLCxs31aQkqSjjjpqn0eX7YiiVJhZa++XdL8xJl1S3e7ao28JdHTo/rvvkXvNBLUXztPpV39PvpTE3X8hHBerk+Q8bpfy0joXxaewCcQ+t8ut33/xe6UkpHylKFVy7FFKe/UFLXhrTUSLUs3r1urlX76p6sRSHXdco4affXrEngsAos0YoyHj8/TltDIF/EG5u1kWI+PiHyuj5mGZsvel/IujGbHPSvR5gnszYskpycnJwdGjR4dcLDY3N9e/rc0BBxzQlpKSUnbssceOfOWVV9LOPPPMvSrmSNKORaPu7PzhkLVWxnz1HUhqauou0xSTk5O/ciwYDGrUqFFNTz311Oqd2/br18/vcrn26VNsa625/vrry88///zarjJYu+tpjTFh+cScj82AMKmrqdBdt/xFrjXjlDhqjn5889XypTBVojdIcBu5XbFZlqpqbNOl/5ipRRvqnY4CYA943V4VpRZpdd1XXyu6PB7tP6pNy8uL1FpZ0c1X98yWL77Qs7/4RHWmUCccsoWCFIA+acj4PPnbrNYvqem2jckslBlxgoK1kbneom/xeDxWkpqbm/epPjJ69OjmGTNmpHW1Y152dnYwLy+vY9uaTtt88cUXqcOGDdurUWCSNH78+Oa1a9f6ioqKOkaPHt224y0nJyeQlZUVLCoqan/77be7fSPq8Xjszh92jxo1qnnZsmW+nc85evToNrfbrdGjR7du2rQpcc2aNdsXzpw2bVrqLiffBxSlgDBoqG7Vi3+YK2/tYJUes1qXXn0dC5r3Iu9ed6SuO36E0zG61NIe0NuLNqumud3pKAD20KCMQVpTt2aX4/uddazkTtCiWeH/oLnswwV6/qENCsqtM85L1uCLLgj7cwBALMguSlFyllur51WFbFeffbGWXf+0Ao2NIduhb2lvb3etW7fOs+Nt48aNX5kh1tDQ4F63bp1n7dq1CdOmTUu+4YYbBmRmZvqPPvror3SWmTNnJn366adfuXX1nDfccENFU1OT6/TTTx/84YcfJs+fP997//33Z8+bN88rSVddddWm+++/v/Dhhx/OmjdvnveKK64oXrJkSdINN9yweW+/v8suu6w6KyvLf9JJJw194403UpcsWZL46quvpn7nO98ZsHLlygRJ+ulPf7rhr3/9a+Gtt96aP3/+fO/HH3+cfNttt+VvO0dxcXH7O++8k75u3TpPZWWlW5J+/vOfb3j++edzfvzjHxfNnDnTN3v2bN/DDz+cdfXVVxdJ0hlnnFE/cODA1gsuuGDQ9OnTk954443UW265pXhv83eF6XtAD8386E19+XKy3J4UnXPNAPUffrLTkdAHdTFiFkCMGpQxSB+u/3CX48mFhRo2uUbzPyjX2ONK5HKH57PBFe/M0tvPVindNuj0n05W2sgerzkKADHLGKO8IUla8+UWBQPBbq+lSQccINvSoqY3X1L62RdGOSWc8tFHH6WXlpYeuOOxgQMHtq5evXrhtvt33XVX0V133VUkSVlZWf4xY8Y0vfrqq8sKCwu/MnzopJNO2uVTa2vtrJ2PFRYWBt54441l1113Xf8TTjhhhNvt1siRI5uPOuqoRkn6+c9/XlFfX+++6aabBlRXV3uGDBnS+q9//WvFjjvv7am0tLTghx9+uOSaa67p/41vfGNIc3OzOz8/v/3www9vyMrKCkjSD3/4wy2tra3mgQceKPjVr37VPysry3/yySdvH1r429/+tuzGG28cMHjw4NyCgoKO8vLy+WeffXb9M888s+K2224revDBBws8Ho8dNGhQ60UXXVQlSW63W88///yK73znOwOnTp26X1FRUfvdd9+97pxzzunxiw7T1dxA9Ny2NaXq6uqUnp7udBxEyH/++aDWfzxIiZl1uujGs5Sc3v36UYFAQMuXL9ewYcO6nf8OZ1zyty80dXieLjp0oNNRdlFW3awj7pymJ787WYcMzqIPoUe4DkXH+2Xv66P1H+mmg2/aZb2IqtVVeuZ3X+qEE5s09MzTevQ8NhjUnIf/pelzCjSoqEXH/HCqvFmRfc1BH0JP0YfQU4FAQLM+Wqgvnq7SmdeOU/GIrG7brpoyRt6CdBX/++MoJox99fX1ysjIkKQMa+1X1oiYNWvWSI/H88awYcMak5OT93p6GbBNc3Ozb/ny5al+v//ECRMmLOmuHdP3gH302H13a+NHw9SWs1Tf/tnxIQtSiG3LNjeoooHfuQDC48gBR+rmQ27epSAlSbmDclWUVqZ5H3e/Fsqe8Le06PWr7tP0Of00fsR6nfSzkyNekAKAWJFWkKCUTK9Wzq0M3W7y/mpcUqVg816vXQ0gSihKAXsp6A/oT3f8Xi0LxilQOlfX3XKFUtK6/4QG6ImM5AT97OSRKs1JdjoKgD1krdXa+rWqaul6vZMDp+ZrU2N/bfr8s306f/PGDXruqn9qjX+EJqd+roOvuUjGw4gTAPHDGKNBY3O1em6lQs38STvrm7IBqe39f0cxHYC9EbGilDGmwBjT5UJgQG8V8Af1zt8Xy7Nmgrz7z9GPbrxe7oSE3X8hYp5RbO6+l+5L0GVThmhANkUpoDf5xqvf0IsrXuzysYEnHqcs72Z98PRKBVpa9uq8VSsr9cwvv1C9zdNx+63SQXfd2OWILADo6waPzVVjTZsq1nY/Csp78Eka9p1EJQW+jGIyAHsjIkUpY8xsSU9Jmm2M+YMxxhuJ5wGiqW7LRj11x+taOadSx10ySt/74XVOR0IcaGkP6PX5G1XZsNfrIAJwiDFGg9IHaXXd6i4fd3k8Ou6i4apuydX0p2fv0TltMKglz7yg/9w9V6alUad/PUfDrr08nLEBoFcpHJKhpLQErZrT/RQ+43LJPfYs2cYtIUdUAXBOpEZKTbLWHiNplKRySW8aYzIj9FxAxFVsXK0Hb39dWzYYHX/pIA2fVOh0JITRr8/YX6ce2M/pGF2qbm7X5f+crcUb63ffGEDMGJgxUGvq1nT7eN74CTrkrKGa93mb1nwZek2Uls2b9OYvHte70zI0ZEC1zrnpUBWeeHiYEwNA7+JyGZWMylHZ4uqQ7VpLLtCyuxarbenSKCXr9QKSbDAYZBguemRrH7KS/KHaeSLx5NbabU+aKullSdmS3pM0PhLPB0TS+jUL9eS9s5XYnqfJX2/XkAMHOh0JYXb0yAKnIwDoYwZlDNK0smmy1nY7ve7A4wZr/fIGvfbAPB04rEwTL/2aEtMztj8eaG/Tgidf0IwZqbL+PB05ZpX2v/p70foWACDmFY/I0tIZm9Ta1CFfStdLaiQOGiQbDKrpvTflGzkyygl7pbXBYLBy/fr1JQUFBfWJiYntTBPH3rDWqr29PXHz5s3pwWBwnaR1odpHpChljFmuzkJUo6SNkjZJ+jwSzwVE0qols/TcQ8vkCaTqqG96Ne7g452OhAh4esY6DStI1YTSbKejAOgjBqUPks/tU0NHg9ITu94Vz7iMTrpsf8199BnN/LJQS2+cpgF51cofkqstGqY18yrV0pir4s3TtZ9ZqCEX3h/l7wIAYlvxiEzJShuW12rw2Lwu27gSE5XcP1GN//27cq74UXQD9kITJkxonzVr1lnNzc2/Xrt27VRjTKrTmdD7WGv9wWDwVWvtLyZMmNAequ0+F6WMManW2sZuHj7YWrtlX88NxIK6ymZ98Hi9PMEEnfTdXO039ginIyFC/vzeCp09vjgmi1J8LgX0TkeXHK1jSo/ZbTt3YoImXP5NDVu1QvOf/0gbNiRo+SdJysiv0aB+7Up99vcq2L9Yxfc+KndqShSSA0DvkZ6TpPRcn9Yvrem2KCVJqRMPVMXTHyhYWyVXZm4UE/ZOEyZMKJ81a9algUAgR1KWIrhBGvqkoKQaSVsmTJgQ3F3jnoyUqjHG9LPW7rLfMQUp9HYrF8/Uh39rVqIvSd+74WSl57LzGZzhcRvt1y9dKV62ewd6k72d6pA+eKgOu36opM5pe0ZGq049TUmH7a+iO+6QSUyMREwA6PX6j8hS+dKakG1STj5P9qkP1fLuM0o5+8ooJevdthYTKrfegIjpSVHKrR0qpsaYTyR9zVq7ucepAAetX7NQ/3lopRKNW5f+7DSlZLB5ZF8Xy7ux5Kf59PqPOkfpBQIBh9MA2BuXvnWpRuWM0rUTrt3jr7HWynT45UpJUemTT8iTmyvj4gNqAOhO8cgsLfpko5rr25Wc3nUBP3H8kRr6TZcSkkMubQPAAeF8lTNGEuPK0att2bxOT947W65gok68pB8FKQDAPnO73FpVu2qP29tAQJt/8xut/fZFsh0dSsjPpyAFALtRPDxLkkKOljIulxLGHCO7Zc+vyQCig1c6wFYtTXV6+O43ldiWpaMvSNbIMYc5HQlRctjQXA3Oi801HDfWtWjETa/rw2WMnAZ6m9K0Uq1tWLtHbYPt7Sr/8XWqefoZZZ5/nkxC17tIAQC+KiXDq6x+KVq/myl8LQO/qxWPbVFHeXmUkgHYEz0tSl1gjBlvjNn2yil258AAIdig1XN/fkfJDSUad2qDxh9ygtOREEW/P/dAnTmu2OkY3WrzBxWM4SmGALpWml6q9Q3rFQiGnnobbGrS+h/8QI3Tpqn/vX9S1rnnRikhAPQN/Udkaf2S6pBtEgaUyL9ho5pnzoxSKgB7oidFqY8l/UrSTEmNkpIl3WaMudwYM9kY4wtHQCDSrLX6+Lnlql+bpcO/nq2jTvqG05EQZTVN7Wpu9zsdIyRKUkDvU5peqo5ghzY2bQzZrumzz9Ty5XwNeORhpR17bJTSAUDfUTQsU/VVrWqqa+u2jScrSwmZHrW8+tcoJgOwO/tclLLWTrHWZkgaKekiSXdLKpB0m6TpkuqNMV+GJSUQQQ/f+wd9+d56TT1/uMYfNdHpOHDAyfd+pL98EJtrDBjt3Q5eAGLH2PyxevbUZ1WQXNDl48GmJklS2jHHaMhbbypl0qRoxgOAPqNwcLokadOqupDtkkoy1bpifTQiAdhD4VhTaoWkckmfSbrQWpstaYikCyW9EobzAxHz9N/uU8ficQoOmqXRU/s7HQcA0IekJKRov5z9lODedX2o9vXrteqsr6n6qackSZ7s7GjHA4A+IzXLp9Qsrzatqg/ZLmn//dS6qU22tTlKyQDsjicM56iQlCipTVKmMeZJST+01v5b0r/DcH4gImZ89LI2fz5M7QXzdN31P3Y6DhwUy8s15aQm6o1rjlD/rGSnowDYB4/Mf0SZ3kydM/yc7cfaVqzQuku+K+PzKXXKFAfTAUDfUTgkQ5tWhh4plX7G2Uqu+Y9UtUTqPz5KyQCEEo6RUudaa9OttXmSJkoaKGmGMaYwDOcGIqJq0xq9/1yLWpI26YrrL5bL7XY6EtClBLdLIwvTleoNx2cIAKJtbsVcvbfuve33W+bP19pvfkvuzEyVPvmEEvszShcAwqFwcIYq1tUr0BHsto1n/ynyZVmZTXOjFwxASD0uSllrp+3w97mSjpb0qqSPjTH9enp+INystfr035uVFEjRmd8ZqpS0LKcjAd2qa+nQT//zpZZsCj0cHUBsKkkv0bqGddvvVz3woBIHDlTpE/9QQn6+g8kAoG/pNyRDQb9VZVlD940SklSdf5OqZsf2BjdAPAnHSKmdpUh6VNIySW9F4PxAj8x8fanKFjbp1EsnaeQBhzkdBzHgneum6vIjhzgdo0ttHQE9/UWZNta2Oh0FwD4oTStVeUO52ps63yQV/f5OlTz6iNwZGQ4nA4C+Jad/qjwJrt0udt62uV71L78cpVQAdqfHRSljzOPGmLeMMYuMMXWS6iQtlHSiOhc8B2LG+288rc/+W6ZBk60GHZjndBzEiFSvR76E2J7CaRXDC18B6FZJeokmL2jXqpNOVsfGjXKnpsqVkuJ0LADoc9xul/IHpu92Xamk/ulqW75CgepNUUoGIJRwjJQqkLRW0rOSrpd0mqTxkvKttTG/Mq8x5gVjTI0x5rmdjg8wxry/tdj2pTHmXKcyIjzK1yzWzFcT1Zi2Vsd842Cn4yCGXP2vOXphDtsDAwi/AdOW6OqXg0qcPFGePD4MAYBIKhycoU2r6mRD7GKTdMD+kqTWj9goHogFPV4511p7cjiCOOheSY9Jumin435J11hr5xpj8iXNNsa8Zq1tinpC9FgwENATD01Tgi3WBZdNlNfHp9T4n89WbdGQvFSnYwDoY6r/8Q81/PZOZV/wDRXcdJOMKxKrJgAAtikcnK7Zb65VQ3Wr0nOSumyTOP4oGY9V64yPlXLG96KcEMDO4v7V0daF2ndZDc9au3Hrwu2y1lZIqpaUHd10CJe//+VPSqsdqRFHblHpsAOdjgPssaREt74/dbBKsmN+4CmAHXRs3qyKP96j7Esu0abvn6bZlXOcjgQAfV7h4M71+kKtK2USElV4fL5S8kIsiA4gamK6KGWMmWKMedkYs8EYY40xZ3bR5gpjzGpjTKsxZpYx5ogI5DhIkstaWxbucyPyqjc0qXXhgXKXLtGp51zidBzEKGOcTtC1NF+CbjxpPw3NT3M6CoA9YK2VDQSUUFCgwS+9qPwbrtdjCx/Xw18+7HQ0AOjzktISlZGfpE2rQu9anHniVPmCS6KUCkAoPZ6+F2EpkuZJelzSf3Z+0BhznqR7JF0h6RNJ35f0ujFmlLV23dY2syR5uzj38dbaDbsLYIzJkfQPSSHHdhpjvDs9T5okBQIBBQKB3T0NIqSjrU1vP75AGXkpOvua7zn6fxEIBBQMBukPMSpW/2/a/UHNLavVsIJUpXvdMZsTvQPXociy1qrqrrvkr6pS4R13yF1crGAwqAGpA/Re2Xt94t+dPoSeog+hp3bXhwoGpWvTytqQfcxfcrLq5/iVXlEhT05OpKLGLH7+EEtiuihlrX1d0uuSZLoexvBjSY9aax/Zev8aY8wJki6XdOPWc0zY1+ffWmh6QdLt1tpPd9P8Rkm37Hxw5cqVSk1lrRqnvPvy87JlkzTunAytXrvK0SzBYFDV1dVasWKFXKwrElO+OSZdpUktWr58udNRdlHT4tc3nlmrXx5TqEnFSfQh9AjXocixwaD014elN96Qvvc9Na5Ysf0xX6tP5Y3lWrR0kRJcCQ6m7Dn6EHqKPoSe2l0fMimtqipr1JJFS+VO6LqP2cqA9PiLquq3n8ykSZGOHHMaGxudjgBsF9NFqVCMMYmSJki6Y6eH3pJ0aBjObyT9TdJ71ton9uBLbpf0hx3up0laP2TIEKWnp/c0DvbB8kWfq2P1OAX7z9PBR13jdBwFAgGtWLFCQ4cOldvtdjoOdjBsmNMJulfV2CZprYr6FWno0Bz6EHqE61Bk2EBAm39xi+rffFMFv/qlMs455yuP16bV6q+r/6qkwiQNyhjkUMrwoA+hp+hD6Knd9aHs5EYtfW+W0hMKVDQss8tz2KFDtSojRRmLP1HuhRdGOHHsqa8PPb0RiKZeW5SSlCvJLWnzTsc3Syrc05MYY96UNF5SijFmvaSzrLVfSDpM0nmSvtxhLatvWWvnd3Uea22bpLYdzitJcrvd/MJ1QDAQ0Iv/nCe3J1+X/uD8mPk/cLlc9IkY9OqXGzUkP0UjC2OvgOxyubf+2dl36EPoKfpQ+NW++KLqX35ZRXf+ThmnnbbL40OyhmhM7hh12I4+8e9OH0JP0YfQU6H6UG7/dCX63KpY06ABI7ufmpdU6Fbb3Jlx2Q/j8XtG7OrNRalt7E73TRfHuv9ia0/o5vjHivGF4NG95596SGm1+2nAUSuVmVvsdBzEuFv+u1AXHVIak0WpWF2AHcD/ZJx1lrzDhilpzJguH89LztM/T/lnlFMBQHxyuczWdaW634FPkpJGDtWW12fJ+v0ynr7wthjonXpz0aVKUkC7jorK166jpxBHWps6VDVriNpyl+r08y51Og7QIy5jVJDuVaKnN1+ugb4n2NKisiuvUuNHH8u4XN0WpLYJBAOqawv9BgkAEB6FgzO0aVW9rO1+rELKlKOVXtIsu2FxFJMB2FmvfZdjrW2XNEvScTs9dJyk3S1KHjHGmCuNMYskzXAqQ7yb/sJKuZSky667xOkoQI9lpyTq858dqynD85yOAmCrYFOTyr7/AzV9+qmMZ8+mQPzko5/oug+ui3AyAIAkFQ7JUGtTh+oqWrptk3T019TvoDq5ahZFMRmAncV0UcoYk2qMGWuMGbv10KCt90u23v+DpO8ZYy4xxuxnjPmjpBJJDzmRV5Kstfdba0dJir9tHGLA+288rUUfb9CEk/KVmuV1Og56EabJAdgTgcZGrbv0MrUuXKiSRx9RyiGH7NHX9U/tr3X16yKcDgAgSQWDMiQjbQw1hS8pS+2jr1RLFS8CASfFdFFK0kGS5my9SZ1FqDmSfi1J1tpnJF0j6ReS5kqaIulka+3aaAeF8zra2/TZWx1qSFmnsUcPdToOepEDitNVkO5zOkaXapradejt7+rDZZVORwEgaeNNN6tt2TKVPPaokseP3+OvK00v1aamTWoLtO2+MQCgR7xJHmX3S9Gm1aGnTVfO8GvTX/4TpVQAuhLTK7pZa99X58Llodo8IOmBqARCTPvX4w8orflAHXhujdwJCU7HQS/y+Hdid2Bj0FptqGtVa0fA6SgAJOX/+FoFvvtdJR0weq++riS9RFZWZfVlGprFBycAEGkFA9NVsaY+ZJukkUPU8NprCjY3yJWcFqVkAHYU6yOlgD1SuXGNKucPUXP+lzr8mLOdjgMA6EMCtbXaePMvFGhoUGJJyV4XpKTOkVKSVNZQFu54AIAu5A9MV3V5k/whPthLGpAh6w+obfrrUUwGYEcUpcKMhc6d8fYzn8od9Oi8i452Ogp6oQm/eVv3vbfc6RhdMix2BTjKX1Ojtd+5RA1vvy3/5n3f3DfHl6OPzvtIR5UcFcZ0AIDu5JemKRi0qipr7LaN95CTJJdVy+cfRDEZgB1RlAozFjqPvvqqFtUt76eJx/VXyZDQW3ID3aH4A2Bn/upqrbv4O/Jv3qySv/9d3qH7Pu3OGKNMX2b4wgEAQsopTpXLY1SxtvspfK7UDKWWeqUtLEkMOIWiFHq9V//+hrzJHk06eX+no6CXsk4HCCHV69FT35usCaVZTkcB4kqwrU3rLrpY/qoqlf79b/KNGN7jc/5twd/0i09+EYZ0AIDdcXtcyu2fpoo1DSHbDbjqWGUP2veRsAB6JqYXOgd2Z85nb2nL8jRljJujBO8RTscBwi7R49KhQ3MlSYEAi50D0eLyepV14YVKnniQvEOGhOWc9e31+mTDJ2E5FwBg9wpK07R+aU3oRoOmKlBVLldrq4wvNndjBvoyRkqhV3vrv8vV7K3Wud/8jtNRgIhoaQ/o928u0bLNoT/lAxAe/poa1f33v5KkrPPPC1tBSupc7LyiuUIt/pawnRMA0L38gemq2dys9hZ/t23aU8dq2R1fqnnOnCgmA7ANRSn0Wh+985xSq/dTybgK+VLYwhX77qUrD9M3J5c6HaNLbf6A7p+2Uqsqm5yOAvR5/poarfvOJdr8uzsVqKsL+/n7p/WXJG1o3BD2cwMAdpVfmi5ZqWJd9x/uJfTvL1dyklpmfBTFZAC2oSgVZuy+Fx3BQECfvFmjxqQNOvfC7zsdB73cgOxkZSQnOB0DgIMCtbVa993vdi5q/vhjcmdkhP05CpILJEmbm1m7BACiIbMwWQletyrWdL/YuXG55Mu1apn2fBSTAdiGolSYsftedJQtrlFawxCNm+qSO4FiAnrm5y/M1zuLYv1NYiwvxw70boH6eq377vfk37BRJX97XL7hPV/UvCsFyQX67eG/1bDMYRE5PwDgq1wuo7yStJA78ElS0vCBal1XG51QAL6CohR6HRu0+vy/q9VvSIaOO+MbTsdBH/Da/I1aXtHodAwADnLn5qjk8cfkGzEiYs+R4E7QaUNOU15yXsSeAwDwVfkD03e7A59v/ET5WyX/moVRSgVgG4pS6HVe+NdfVLmuQRNOLpAxxuk46ANieQxSoselcyf0V3FmstNRgD4n0Nio9vXlcqenq+Qvf5Fvv/0i/pxvr31b7617L+LPAwDolNs/VQ3VrWoLsdh56mnf0IizN8rTsiqKyQBIksfpAMDeCAYCWjYrRcpYrtL9j3Y6DhBxyYke/f7cAyVJgUDA4TRA3xFobFTZ9y5VsLlZg158QcYVnc/p/rvivwoqqKNL+B0GANGQU5wqSdpS3qiioZldtnHlDpRySqV6NqIAoo2RUuhVXn3+MaU1F2vS1HSnowBREQharahoUENrh9NRgD4j0NiksksvU9vKlep3261RK0hJUkFKgTY3xfoadgDQd2QVJsvlMqouD71UQ6X7Mq1/kul7QLRRlEKvEQwEtPAzjxrSVunok1lLCuHz/SlDdNDALKdjdKmxza9j//ChPlpe5XQUoE8INjWp7PvfV9vy5Sp59BElHXBAVJ+/ILmA3fcAIIrcHpcyC5O1pbwpZDuTmKimTz+VZWQ6EFUUpcLMGHOlMWaRpBlOZ+lrZn/0kdKaSnXgoW6no6CPufzIIZo4MNvpGACioHXpUrWvXq2SRx5W0pgxUX/+/OR81bbVqi3QFvXnBoB4lVOUoi0bQo+USipOVrCpSe2zp0UpFQCJolTYWWvvt9aOkjTJ6Sx9zfo56coqTtAJp3/b6SjoYz5dUaWy6manYwCIoGBbm2wwqOTx4zX0nbeVNHasIzmGZg3ViQNPVKu/1ZHnB4B4lF2cqi3lTbK2++1tfJOPkiS1fPp2tGIBEEUp9BLL5n2p8qW1mnTyCLncjJRCeF3+z9l6bf5Gp2N0iQ0mgZ4Ltraq7Ac/0Obb75AkuZKd281y/5z99fupv1eGN8OxDAAQb3KKU9Xe4ldjTfejVN15xUrMMmqdNzd6wQBQlELv8OJz09Tq3aLBY3OdjgJEncdlRG0K2DfBtjatv+JKtcydp/Tjj3M6jiRpU9Mm1bTWOB0DAOJGTlGKpM4d+EIpunCcckYzeh6IJopSiHkrF3+hpMpRyhq2Ti43XRbhF2oot9PSfQla8duTddIB/ZyOAvQ6tr1d66++Ws2zZ2vAgw8qeeJEpyNJkr720tf0wooXnI4BAHEjLcenBJ9b1RtCL3aeNOlIJTQulvys+wdEC+/wEfNefuEDdbjbdPY3LnA6CgCgF6n517/UPP0z9b//PqUcPNnpONsVpBRocxM78AFAtBhjOhc7381IKX//Y7Wh7ptqXbE6SskAUJRCTNuyeZ3s+lHyDFiijBxGiiAyBmQnKz0pwekYXWpq8+u0P3+sj5ZXOh0F6HWyLrxQpU89pdTDDnM6ylfkJ+erornC6RgAEFc6FzsPXZRy5Rar/q331DzjiyilAkBRCjFt7vsr5bEenXF2bKwDgr7p1auP0DcmlTgdo0tBazW/vE51LR1ORwF6BRsMauOvfqWmGTNkPB4ljd7f6Ui7KEgu0OZmRkoBQDTlFKWqZlOzAoFgt21ciYlKzEtS+/SXopgMiG8UpRCzAoGg1s9N1H6T+6t02IFOxwEAxDhrrTbd8kvVPvOs/JWxO7qwIKVA9e31TscAgLiSU5yiYMCqdlPohcw9yVYd5WVRSgWAolSYGWOuNMYskjTD6Sy93dvPP6fGmjaNPTY2R7Cg75hy5zQ9MX2N0zG6ZAz77gF7wlqrzbf9VrX//rf63XabMk45xelI3fr+mO/r5TNfdjoGAMSVrMLOHfhqK0IXpRJyM9RRE3pBdADhQ1EqzKy191trR0ma5HSW3iwYCGju9BY1ZCxTbv9Up+Ogj6tpaldrR/dDuQHEvqoHH1TNk0+q8Fe/UuZZZzodJySPy0PBGQCiLCktQQk+t+oqWkK2Sz9ktLJHtEYpFQCKUohJ0954WmnNAzT2YJ/TUQBHeT0u/fkb4zSuJMvpKEBMSz/+eBX++lfKOu/rTkfZrfLGcp3937O1sGqh01EAIG4YY5SRl6S6qtBFqZTJE5XZv1LqCN0OQHhQlEJMmjl9ixp9m3X86d9yOgriRKwOWkhwu3TagUUqzkxyOgoQk+rfeFPB5mZ5hw5V1tdjvyAlSakJqVpWs0zljeVORwGAuJKRl6T6ytDFpkD2GNXnXa5AXV2UUgHxjaIUYs76NQuVvGU/5Q7dIJfb7XQcwFEdgaAe/Xi1VlaG3sIYiEc1zz6r8muuUd1//+t0lL2Snpgun9vHDnwAEGUZeUm7nb4XCKaq/M8vqXXF2iilAuIbRSnEnLVz2uUyVqed/TWnoyBOPPG9yTrtwCKnY3SpIxDUb15ZpIUb2KkL2FHdK69q0y2/VNYFFyjzvPOcjrNXjDHKT85XRXOF01EAIK6k5yapsaZVgRBriXoKCiRJHUtnRisWENcoSiGmBINWK2e2aOTk/srvN8jpOIgTYwdkqiCd9cuA3qLhvfe04Sc/Ucbpp6vgpp/3ykXDC1IKtLmJkVIAEE0Z+cmyVqrf0v1oKVdSktxeK/+iT6OYDIhfHqcDADt65+Wn1LCln0YenON0FMSR372xRFOH5+ngwbHb76y1TkcAYkbbipVKO+YY9bvtVhlX7/x87epxV8vr9jodAwDiSkZe5xqddZUtyipM6badJ92jjorKaMUC4hpFKcSU2Z/XSslB9Rs61ekoiCP/+HSNclISY7ooBUAK1NbKnZmp3MsulQ0Ge21BSpLG5o91OgIAxJ3UTK/cHpfqd7MDX/LATLncrVFKBcS33vtqDn1O2aoFSqkeroKhlSxwDmzlMkZHj8xneiHiXuvixVpxwomqf/ttSerVBSlJWlazTPfOvpdRkAAQRcZllJ7r2+1i54XnTVL+hO7XnQIQPr37FV0MMsZcaYxZJGmG01l6m9dffkNBE9QpZ53ldBQgZvgS3Hrs4omM4kJca1u1Suu++z0llpQo5ZBDnI4TFmUNZXp4/sOqaatxOgoAxJWMvCTV7WaklIonKJi9X3QCAXGOolSYWWvvt9aOkjTJ6Sy9STAQUM3qYrXlLmGBczgiVhdKttaqpqldbf6A01EAR7SvX69137lEnpwcDfjrX+ROTXU6UlgUJHfu7sRi5wAQXel5SbsdKVW3IVNLb/lYwZbdFK8A9BhFKcSETavqldpaoClHjnQ6CuLQ+ZNKtF9hmtMxutTmD2rcb97WGws2OR0FcMTmO+6Q8Xk14NFH5MnKcjpO2GwvSjVTlAKAaMrIS1b9lhYFg91Pn/bk5kqSOsrWRisWELdY6BwxYclnm5SW7dPko45yOgri0M2njnI6AoBuFN16q4LNzUrIz3c6Slhl+7LlNm5GSgFAlGXkJSnot2qqbVNadtdrdiYk+SVJ/i+nyTucD82BSGKkFBxXt2WjFkxfo5xhNTKu2JxChb5t4YY6VTW2OR0jJNZCRjwJNDZq/bXXqqO8XO7MTCUUFTkdKezcLrfOGX6OitOKnY4CAHElIy9JklRX0dxtG8/g0ZKkjvWro5IJiGcUpeC4V154Vq5ggkZMznM6CuLUOQ9O18vzNjgdA4CkYFub1l9xpZo+/kSBhgan40TUTQffpMOLD3c6BgDElbQcn4yR6iq7Xy/KlZoht8+qY8P6KCYD4hNFKTiubGmqGjNWaugo1oYHgHhm/X6VX/tjtXz5pQY89KB8I/v2lIktLVu0snal0zEAIK64PS6lZvtCFqUkadC3cpRzCLsfA5HGmlJw1PxZ05TWMEj5hy52OgrimFXszo3zelyad8vxSkpwSzGcEwiHjbfcosYPP9SAB+5X8oQJTseJuEcXPKqPyz/Wf8/8r9NRACCupOcmqWFLa8g2CUWlEptRABFHUQqO+uCd2epwj9DJZ13gdBQgJhljlJGUIEkKBAIOpwEiK+2YY5RyyKFKnTLF6ShRUZBcoE1Nm2StlTGsqQgA0ZKe49OW8saQbeoSzlTT7Hnqe6saArGF6XtwTDAQVPKWSRo02qOUtL6zzTd6n1SvRwnu2LwctvuDuuixGfpkRZXTUYCIaZo+XdZapR19tDJOPcXpOFFTkFygFn+LGjtCvzECAIRXeq5PDdWhR0p1VNep8d13o5QIiF+x+S4McWHdomq11HfosFMOczoK4tzMm47TNw8udTpGl6ysPlhWqc31oV84Ab1V9VNPad13LlHj++87HSXqClIKJEmbm5geAgDRlJaTpJaGDrW3+rtt41G1AnV1CjbWRTEZEH8oSsExzz/3TwWTtyh3QKrTUQAADqh75VVt/s2tyr7o20o98kin40RdfnK+kj3JqmvnDQ8ARFN6jk+SQo6W8mR3vkfxr2XtWyCSKErBEa1NDVLVEJnCNayjAcedcu9HenFOudMxumTEzwf6psYPPtCGn/5UGWecofyf/CQufxcUpRTp8ws/14SCvr+oOwDEkrScJElSQ1X3RamEAUMlSf51y6OSCYhXFKXCzBhzpTFmkaQZTmeJZdPeek7eQLIOPmyU01EArahoVF1Lh9MxgLhS98qrSp0yRf1u/Y2MKz5fjsRjIQ4AYkFKRqJcHqP6EDvwJQwdrYLxdUpIYaMZIJLYfS/MrLX3S7rfGJMuifH43Vg4r1ZBb7LGH3yO01EAWacDhOB2Gf3ytFEa0z/T6ShAWFi/X8bjUdHtv5UNBGQ88f1S5IYPblB+cr5umHiD01EAIG4Yl1Fatk/1W1q6bePKLlL2qICUyLqeQCTF50eTcFRHe7tclUOV1K9MLrfb6ThATHO7jC4+bJCG5rP2Gnq/9rVrterU09Qyd66MxyOX1+t0JMe1Blq1qm6V0zEAIO6k5yapIcRIKRmjhgE/UnNjQfRCAXGIohSibtPKRnkDKTrxpBOdjgLEvGDQ6sU55Vq3pdnpKECPdGyu0LpLvisZo4SSEqfjxIyC5AJVNFc4HQMA4k5ajk/1Vd2PlJKkLW8uVO3bn0UpERCfKEoh6lbM2qy0HJ+Gjtnf6SiAJOnBC8fr6JH5TsfoUtBaXfPMXM1YU+10FGCfBerrVfa978kGAip57FF5srOdjhQz8pPzVdlc6XQMAIg76Tm+0COlJHlSjDpWzo9SIiA+UZRCVHW0t2nuZ8vkyV/FAq+IGcfsV6AB2clOxwD6rA03/kz+igqVPPqIEvr1czpOTMlLylNNW43aA+1ORwGAuJKek6S2Zr/aWvzdtvGYGvnL10YxFRB/4nt1UUTdh28/p0R/P5WODjodBdjuoQ9W6rAhuTqgf4bTUbplbSwvxw6Eln/NjxRsapJ3yBCno8Scw4sP1+MnPM4HNQAQZWk5PklSw5YWefunddkmIS9P/qaV0YwFxB1GSiGq5s3epObEah1y5OlORwG2u/utpZpbVuN0DKBPsdaq+p//VLC5Wd5hw5Q0dqzTkWJSXnKeDio8SAmuBKejAEBcSc9NkiTVV3U/hS9x6GAlZbfJNtdHKxYQdyhKIWoCHR0KVgxWQsEadt0D9pAxRgcOyFR2SqLTUYC9Unnvvdr8m1vV9NnnTkeJaR3BDv1p9p+0oGqB01EAIK4kpSXIk+AKua5U2tQpKjmyWqa1KorJgPjC9D1EzfT3X1FSR4YOmMiuS8CecruMXrryMElSIBBwOA2wZ6qfeFJbHnxI+Tdcr7Sjj3I6TkzzGI+eWPSEcnw5Gp072uk4ABA3jDGdO/BtCbEDX9ZABQefJLW1M5oDiBB+thA1tnp/eVOlw446y+kowK5YzwUIi/rXXtPm3/5W2RdfrOxLLnE6TswzxigvKU8VLRVORwGAuJOWkxRy+l7Ak6Olv52nxjmropgKiC8UpRAVQX9AK+dUavjE/nInsG4GYsuJo/upJEZ33wsGrQbd+KqenVnmdBRgj7SvW6f0005V/v/dwOLdeyg/OV8VzRSlACDa0nN9aggxUsqVmirj87EDHxBBTN9DVHw87Xk11eYoq7TW6SjALv78jXFORwiJjffQGwQam+ROTVHuD34gGwzKuPjca08VJBeosrnS6RgAEHfSsn1aVt3W7ePGGHm8beqY+4aky6MXDIgjvGJEVMz+Yq1aE+o1cvyBTkcBdrGhtkVNbX6nY4RGYQoxrH3NGq086UTVv/GmJFGQ2ktTBkzREcVHOB0DAOJOarZX7S1+tbd0/zrQk5YofxW7NAORwqtGRFwwEFDHpoFS3iolJHqdjgPs4og7p+mFOeVOx+gSs58Q6/xVVVp36WVyp6YpefIkp+P0SqcOPlUXj77Y6RgAEHdSs3ySpIaa7teVSshMlb+mIVqRgLhDUQoR99kHLym5PVsHjs93OgoAIIyCTU0q+/4PFGxt0YCHH5YnK8vpSL1SU0eT5lbMVXug3ekoABBX0rI7i1KNNd1P4Su84GANOJm3zUCk8NOFiJs9Y41aPQ2acuzZTkcBeqX3rpuqEw8odDoGsIuKu+9W+5o1KvnrX5XYv9jpOL3W4i2L9a3Xv6X1jeudjgIAcSUlI1HGSI3V3Y+UcheUyNVWHcVUQHyhKIWIstYqo/FgDR+doURfktNxgG7F6jQ5Y4wG56Uq3ceulYg9eVdfrQGPPCzffvs5HaVXK0gukCR24AOAKHO5XUrO8IYcKdWcMFlrFxyhYFNTFJMB8YOiFCKqqqxR9VWtGjtljNNRgF7rx8/M1fSVW5yOAWxX/eQ/1VFeLndmppLHxfbulb1BbnKuJLEDHwA4IC3bG3KklA1KzV98IX8l12ggEihKhZkx5kpjzCJJM5zOEgte+M/DCrhbVTQi0+koQLcW/foEnT+xxOkY3Xp+TrnWbuHTOcSGmqef1uZbb1XDtPedjtJnJHmSlJaYps3Nm52OAgBxJzXLF3Khc09K558dCz6KUiIgvlCUCjNr7f3W2lGS2IJI0pYN6WrOWC23m66G2OX1uOV2xej8PSCGNLz7rjb9+jfK+ta3lHXhBU7H6VMGZwxWIBhwOgYAxJ3ULK8aq7ufvucpLpUk+cuWRysSEFc8TgdA31VduV6pjaVKGzPf6ShASOf/dbq+d/hgHTuqwOkoQMxqnjNH5T++TmnHHaeCn/5EJlYXYuulnjz5SacjAEBcSs32qbGmTdbaLn+3ubML5fJY+TeWO5AO6PsYvoKI+fDdV+Wybh182GSnowAhfb66WhUN3X9CBkAK1NQo+aCDVHTn72TcbqfjAAAQFmlZPgX8QbU0dHTbpvBIr1IGsmkTEAkUpRAxq5Y1qclbqZFjDnM6ChCStU4nCO3qo4dqVFG60zEQpwKNjbLWKu3oozXgkYfl8nqdjtQnPbnoSZ3937OdjgEAcSc1u/P3WmOIdaUyJvSXL70lWpGAuEJRChFhrVVO60SN3C/b6SjAHonlmUg/Pn6ExvTPdDoG4lCgsUlrv/VtVf7hj5LElL0I8rg8WlW7SkEbdDoKAMSV1CyfJKmxpvtR880F56q+dXy0IgFxhaIUIqKuokWN1R064FC2Cgd66qPlldpYx6dziC7r96v82mvVsW6d0k89xek4fV5ecp781q+a1hqnowBAXElKS5Db41JDdfcjpRrmV6jyiZejmAqIHxSlEBGvvPi4rAmoeChTjhD7fnf2AZo4MHZH9V302AxNW1LpdAzEEWutNv36N2qaPl3F9/5JvhEjnI7U52X7Oq9BtW21zgYBgDhjjFFKljfkSClPUlAdm1joHIgEilKIiPVrpMbUNUpMTnQ6CrBb500s0dD8VKdjADGj4Y03VPvss+r3q18p9TDWBYyGTG+mJDFSCgAckJbtDbmmlCexWbbNr0D1piimAuIDRSmEXXtri7x1g5TRr9bpKMAeeXrGOq2sbHQ6RkhWMb4aO/qUtOOOU/8HH1Dm2V9zOkrcKEot0t9P/LtGZo90OgoAxJ3ULJ8aQ0zf8xSVSpL8axZHKxIQNyhKIew+++hlJQZ9OuDAwU5HAfbIT5+fr5lrqp2OATiuedYsNc+cKePxKO2oo5yOE1e8bq/GF4xXaiKjNgEg2lJ3M30vccgopfRrlRpZTgEIN4pSCLsF89aq3d2syUec6nQUoE8YkJ2sVK/H6Rjo49pWrVbZFVeq6q9/dTpK3Hpo3kP6oOwDp2MAQNxJy/apqbZNwUDXO6AmDD1AJVOrtXWmNYAw4l0Owi6nY7I6BtQoIdHrdBRgt6yN/WlxH9zQOWIlEAg4nAR9lX/LFpVddpk8ebkqvusup+PErVdXvar69npNHTDV6SgAEFdSs3yyVmqqa1datm/XBt5UBYafJdkUuaMfD+jTGCmFsGpv9au6LKADD57gdBQAwB4ItrSo7PIrFGxrVclf/iJ3OrumOiXLl6Xa1lqnYwBA3EnN6vwwPdS6UmuerFTVa/OjFQmIGxSlEFYfvvmcgkGrgsEJTkcB9tjkQdnKS4vdkX0H//ZdPTdrvdMx0Ef5N29WsKFBAx54UAnFxU7HiWuZ3kzVtLH7HgBEW0pm5+vAprr2btt4sjPlL18TpURA/GD6HsJq/oL18id6lFuc63QUYI8YY/TM9w9xOkZIVY1tau1g6h7Cz3Z0KHHgQA1+5WUZNxMSnJbly9LymuVOxwCAuONN9sjtcam5vvvFzj0dZepYUh/FVEB8YKQUwqq9qlAme51cvLlBL2GtVZs/oEAwtteWiu106I2q//GE1n77IgXb2ihIxYjDig7TsaXHOh0DAOKOMUbJGYlqqg0xUio3S/4QRSsA+4aiFMKmbNUCpbYUqWRQotNRgD1mrTTipjf0n9mxOz3OGKcToK9pfPddbb79diWNHSuXN3anrsab4wcer0tGX+J0DACISykZXjXVdV90SsgvkL/Jyga73qEPwL6hKIWw+eTD9yVJh049ytkgAIBu2WXLtPH/fqK0449X/g3XOx0HO6hvr9fszbPlD/qdjgIAcSclM1FNtd0XpTJPPUYjvrZRpr0hiqmAvo+iFMImuXm0PBn16j9wf6ejAHusN0yLe/qyg3XCqAKnY6APCNTVSbf9Vt6RI1T0uztkXLwMiCVzNs/RRW9cpJpWFjsHgGhLzvCqub776Xuu3AEyiYlSU1UUUwF9H69GERbWWlWvS9DoiRSkgHCbUJqt/HSf0zHQB7gzMqSLL1bxfffJ5aNPxZpMX6YksQMfADggJSP0SCl/8jCtXXqimtex2DkQThSlEBaL536qpto2ZZcw5QAIt9tfX6yZa6qdjoFeLNjerob33pMkmaOOlDsry9E86FqWt/P/pba11tkgABCHUjK9amv2y9/e9Y7HrtRUNc+cqY5166KcDOjbKEohLD6b/rkCxq+iYTlORwH2istI0288WqeO6ed0lG49/vEaLdrIp3LYN9ZabfrFLSq/5lp1bNjgdByEkOHNkMRIKQBwQkpG58Yf3U3hcyUlyeVzqWP2q9GMBfR5FKUQFhXrvWpOXauMrHynowB7xRijfhlJSk70OB0FiIgtDz+iuhdfVL/bblVCUZHTcRBCWmKacnw5LHQOAA5IzujcQTzUFD5PsuTfWB6tSEBcoCiFHmtvbZG3bqAy+tU6HQXYa/5AUFf8c5amr9zidBQg7OrffEuVf/iDcq+4XBmnneZ0HOyGy7j0/nnv65TBpzgdBQDizraRUk113S92npDulX9LbZQSAfGBohR67POPX1ViIEmjxwxyOgqw16yk1+ZvUnlti9NRumecDoDeyFqrmn/9S+knn6TcH/7Q6TgAAMQ0b7JH7gSXmuq6HymVc/RQZY9hdD0QTnH/E2WMeUHSkZLetdaes8PxNEnvSUqQ5JZ0r7X2YUdCxriO6lxZV5smHX6i01GAPukbEwdoWH6a0zHQyxhjNOChB7f/Hb3DTz78iVITUnXzITc7HQUA4ooxRikZiWoOUZRKGbeftHBJFFMBfR8jpaR7JX27i+PNkqZaa8dKmizpRmMMq3h3oa0mR/2H5snrS3U6CrDPYvkt+6/OGK1DhnD5wZ4JNjWp7Ior1bp0qVw+n1w+n9ORsBfaA+0qb2S9EgBwQkqGV0213U/fa8uaoi0dp8laG8VUQN8W90Upa+00SQ1dHA9Ya5u33vWpc7RULL9vdUQwENCaxWVKLej+EwUAPbN4Y722NPIzht2zgYDKb/g/NX/2mfiV1Ttl+jLZfQ8AHJKc4Q05fa+tyq+KR59XsJ5dkYFwiemilDFmijHmZWPMBmOMNcac2UWbK4wxq40xrcaYWcaYI8L4/JnGmHmS1ku601pbFa5z9xXLF32uYKtPLYkLnY4C7BOXMbrhhBHavzjd6SjdOuuBT/TyvA1Ox0AvUHH3H9T4/vsq/uMf5Bsx3Ok42AdZ3izVttY6HQMA4lJKZmLIhc49aQmSJP+qBdGKBPR5MV2UkpQiaZ6kq7p60BhznqR7JN0maZykjyS9bowp2aHNLGPMgi5uu90X21pba609UNIgSRcYYwp6/i31LXNmzZYkHXTwFIeTAPvG7TK68qihGlkYu0UpYE/UPv+Cqh97TAU//YlSp051Og72UaaXkVIA4JSUDG/INaU8mcmSpI6Vc6OUCOj7Ynqhc2vt65Jel7pdpPXHkh611j6y9f41xpgTJF0u6cat55gQhhybjTFfSpoi6d9dtTHGeCV5dziUJkmBQECBQKCnEWJW+bo2+X2blV80tU9/n+EQCAQUDAb5d4oxwaDVe0srNapfmooyk5yO063A1r5DH0J33P0KlfWd7yj9ggu67SP0odh3zIBjtH/O/vL7/TG5QD19CD1FH0JPRbIPJaUlqK3Zr7aWdnkS3bs8bgZ0jkLuWL+2V/fh3pwdfU9MF6VCMcYkSpog6Y6dHnpL0qFhOH+BpBZrbb0xJl2dBakHQ3zJjZJu2fngypUrlZradxcA76jNlUnboOXLlzsdJeYFg0FVV1drxYoVcrlifZBi/GgPWH3/yVW6/oh8HTskNne4s0GryspKrVjRRh/CLmx9vZSSIpOVJZ1xumpXrOi2Ldeh3iFFKVpR2/3/o5PoQ+gp+hB6KpJ9qGbrGp6LvlympIyu3yqnlnaoqaVSm3vx+5/GxkanIwDb9dqilKRcdS4+vnmn45slFe7pSYwxb0oaLynFGLNe0lnW2i8k9Zf0qOn8mNJIus9a+2WIU90u6Q873E+TtH7IkCFKT++b04LaWzqU2rxe+aPbNGzYMKfjxLxAIKAVK1Zo6NChcrt3/eQFzmjzByWtUmFBgYYNK3Y6TpdSfGXqV1CgoUOL6UP4imBzs8p+eqN8Bxyggl/u8rnILrgOxb7K5ko9sfgJnT/ifBWl7nalgaijD6Gn6EPoqUj2oerUJs15fovyMovUb2hGl21cp+fKDsyV7cXvf+pZqB0xpDcXpbbZeT9O08Wx7r/Y2hO6OT5L0ti9OE+bpO0TkLcNuXe73X32F+6W9XUycunYEy/ss99juLlcrj7dJ3oj99arxbb/m1g0++bjJHW+CKMPYRsbDGrjTTerfd06Ff3ujj3uE/Sh2NahDv1j8T90xIAjNCBjgNNxukQfQk/Rh9BTkepD6dmdSzm0Nvq7PXdg6OkKujOV0Iv7Lz97iCW9ecxslaSAdh0Vla9dR08hAhbPmqcEn1FWYbLTUYAei8GlW4CQqh54UA1vvqmi390h34gRTsdBmGR5sySJHfgAwAGJSR55Elxqqu1+sfPN0xpU/shHUUwF9G29tihlrW2XNEvScTs9dJykT6OfqJMx5kpjzCJJM5zKEC2z5i9WtXepjIt38+i9jIyG5acqzZvgdJRunXHfx3phznqnYyCGtMydq6r77lPeNT9S+nE7/xpEb5aSkCKPy8MOfADgAGOMkjMS1VwfYge+7HT5N5ZHMRXQt8X09D1jTKqkoTscGmSMGSup2lq7Tp1rOD1hjJkpabqkyySVSHoo2lm3sdbeL+n+rYuj1zmVI9KCgYASG/vLW7rU6ShAjyR6XHr7x1OdjhHS8opG1TR1OB0DMcR34IHqf9+flXrMMU5HQZgZY5TlzWKkFAA4xJvcuQNfdzztZeqorJANBmVYrB/osVj/KTpI0pytN6mzCDVH0q8lyVr7jKRrJP1C0lx17pB3srV2bbSDxpul8z+V15+qQUNynY4CxIU9XigPfZq/qkoN778vY4zSjj12+/qF6Fu+NuxrGpHNlEwAcII32aO2lhBFqaL+UtAosHFN9EIBfVhMj5Sy1r6vzoXLQ7V5QNIDUQmE7ebNnSdplA46eIrTUYAeae0I6KBb39EdZx+gU8fE3k5XwDbB9nat/+HV6igvV8qbb8iVlOR0JETIVeOucjoCAMQtb7In5EiphOKBkqwCZcvkKR4ctVxAXxXrI6UQoxo2J6rZV6H8oiFORwF6rLHNr0CQsUiIXdZabfrlr9S6cKH6//leClJ93KamTVpWs8zpGAAQl7xJoYtSvoMO0civb5Q3N6bHdwC9Bj9J2CeZwXEadCC77qH3s72gFnXv+eM0ND/V6RhwUPXf/666559X0Z2/U9KBBzodBxH28JcP68uqL/Xv0/7tdBQAiDuJyQlqDzF9z2QUSYlJUmt9FFMBfRcjpcIsHnbfa2tuUWVZowoHZzgdBYgLx44q0MDcFKdjwCG2vV11z7+gnO99Vxmnn+50HERBpi9TNa3svgcATugcKRVigxmPV2Ubvqaa+d3v0AdgzzFSKsziYfe9zz9+WTaYK793uaT+TscB+rxHPlqliQOzNboozekocIBJTFTpU0/JleRzOgqiJMubpbq2PvkSAgBi3rY1pay13W4o0lG+QW3Ll0c5GdA3MVIKe23pkjL5Xe3ab+xEp6MAPeb1uPTKDw/X1OF5Tkfp1j3vLNcXa6qdjoEoC9TVqezKq9ReViZ3aoqM2+10JERJpi9TrYFWtfhbnI4CAHHHm+xRMGDl7wh228ajavnnvRPFVEDfxUgp7LXqigQFU9bL62ONG/R+LpfR6GKmoiK2WL9f5ddeq9aFi3rHwmcIq2xftrK8WWpob1CSh0XtASCaEpM63yK3N/uVkNj1B0Ke9AT5q1lTCggHilLYa676Ivn6rXE6BhAWbf6Abn1lsc49qL/G9M90Og4gSdr8uzvVNOMLlTzyiBJLSpyOgyg7tOhQfXj+h07HAIC45E1OkCS1NfuVkuntsk2/v78t42LSERAO/CRhr6xfs0TJ7dnqX8LOe+gbAkGrJz5bqzVbmp2O0q2uVzNAX1X30kuqeeIJFdz4U6UcPNnpOAAAxBXv1pFSoRY7pyAFhA8/TWHW13ffa6/JkSRNPeprDicBwqM3zIw6dlSBSnPYfS9euFJSlPXNbyrrggucjgKHtAXadMrzp+jttW87HQUA4o43ZWtRqsXvcBIgPjB9L8z6+u57m1bXKSXTq9yiQqejAHHjj+eNlSQFAgFngyCigi0tMj6f0o49VmnHHut0HDgo0ZWozc2bVdFc4XQUAIg7/xspRVEKiAZGSmGvTP/sQ7X62P4UiKaK+lY1tvHCqC+zfr/KrrhCm2/7rdNREAOMMcrwZqimtcbpKAAQd9wJLrk8Ru2MlAKigqIU9lh7a4vcjf3kyqpyOgoQNh630XcPH6TBubE7Pe7YP3ygpz5f63QMRFDFH/+o5hlfMEIK22V5s1TbVut0DACIO8YYeZM8IdeUAhA+TN/DHvty5ntKCCZp2PBip6MAYeP1uHXzqaOcjoE4Vv/666p+9DHl/+QnLGyO7TJ9mRSlAMAh3uQEpu8BUUJRCnts4YJlCmq0DjrkOKejAGHjDwQ1b32dBuWmKDsl0ek43eoNC7Jj77WvWaMNP79J6SefrOyLL3I6DmLIjyf8WImu2L0mAUBf5k32sNA5ECVM38Meq9goNSVvUFpmrtNRgLBp6Qjo7Ac/1acrmZaK6Evo3195P/yh+t36GxljnI6DGDIqZ5SGZg11OgYAxCVvkkftjJQCooKiVJgZY640xiySNMPpLOGW7x+r4UMoSAFAT9lgUK1Ll8p4PMr5zsVyJSc7HQkxZtbmWXpg7gNOxwCAuJSY7FErRSkgKihKhZm19n5r7ShJk5zOEk5tzR1q3GI1asJ4p6MAcWfGz4/VJYcPcjoGwqjqvvu15tyvq2PzZqejIEYtrV6qR+Y/IsvcXQCIOm+Sh933gCihKIU9MuOj1yRJ6flcnNE3GcXu1ClfglsJbi7XfUXDu++q6oEHlHvFFUooKHA6DmJUli9LHcEONfubnY4CAHGnc6Fzdt8DooF3OdgjS5YsV4erTfkDCp2OAoSVMUbZKYlKcMduUerSf8zUf+dtcDoGwqB9zRpt+MlPlXbcscr5/mVOx0EMy/RmSpJqWmucDQIAcYiFzoHoYfc97JGaqgQFkzfKk5DgdBQgrFK9Hs2+ObZ3lPxiTbUmlGY5HQNhsOn22+XJzVW/229nYXOElOXr/JmvbatV/7T+DqcBgPiSuHWhc2stv6+BCKMohT1iG3OVkMXaJ4BTWFambyi6/XYF6urkTk11OgpiXH5yvs4edrZSElKcjgIAcceb7JG1UkdrQIlJvGUGIonpe9itxrotSm7JV14B3QV9T0Nrh6bcOU3TllY4HQV9WMO0aeqoqJAnO1veQSxaj93L9mXrl4f+UoMy6C8AEG3e5M5CFFP4gMijyoDd2rKhXi65NWbMOKejAGEXtNK66ma1tAecjoI+qnXxYpX/6BpVP/43p6Ogl1lVt0qbmxilDADR5k3qXLKkrZmiFBBpFKXCzBhzpTFmkaQZTmcJl6YtXhkj7T/hcKejAHHp5lNGacrwXKdjYB8E6uu1/uofKXHoEOVd8yOn46CXufzty/XM0mecjgEAcWfbSKn2FnbgAyKNCbJhZq29X9L9xph0SXVO5wmH+bOmy5eZqoREt9NRgIiJ5SUsz57QuchxIMBort7EWqsNN/5Mgbo6lTz2qFxer9OR0Mtk+jJV21brdAwAiDvb1pFqbWKkFBBpjJTCbq0uq1WVZ4nTMYC49dLcci3aUO90DOyltiVL1PTRRyq643YlDhjgdBz0QpleilIA4IT/jZSiKAVEGkUphBTo6JCvuUiZOVyQ0TclJ7r190smacLALKejdOtXLy9iIfZeyLfffhry9ttKO/pop6Ogl8r0ZqqmtcbpGAAQd9welzyJLtaUAqKAohRCWrJguhKCXpUMzHE6ChARCW6Xpg7PU36az+ko6CP8lZWqvPde2fZ2JRTkOx0HvVhOUo6CNuh0DACIS94kD7vvAVFAUQohLVm4QJI0ZvwhDicBIqO1I6A/vr1MKyoanI6CPsD6/Sq//gbVPPtvBeqZcome+b+J/6e/n/R3p2MAQFxKTE5QWzMLnQORRlEKIfnrM+VPqFdRyQinowAR0doR0J/eXa4VFU1OR+lWLC/Cjq+q/PN9av7iCxX/4W55ctkxEQCA3sqb5FE70/eAiKMohZBS7P4aPHyQ0zGAuDauJEv9MpheGOsapk3Tlr/8RXnXXqOUSZOcjoM+4JPyT3TSf05SU0fsFs0BoK/ypjB9D4gGj9MBENs2r9mikZOLnY4BRIy1TifYvUcuOkiSFAgEHE6CUJo/+0ypRx2lnO9+1+ko6COMjNY3rlddW51SElKcjgMAccWb5FFjTZvTMYA+j6IUulWxYaVaG6QNTe9IYvoe4JSOQFAuwyS+WFdw440KtrfLuBiEjPDI8GVIkmr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      "text/plain": [
       "<Figure size 1200x800 with 2 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "composite_model.eval()\n",
    "composite_model.plot_model()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 31,
   "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",
      "fit run: 0\n"
     ]
    },
    {
     "data": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "b8bbf47a2bdf44f9a067372ccd25a5c9",
       "version_major": 2,
       "version_minor": 0
      },
      "text/plain": [
       "0it [00:00, ?it/s]"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "- best chisq=8.63153e+00\n",
      "\n",
      "fit run: 1\n",
      "- old chisq=8.63153e+00\n"
     ]
    },
    {
     "data": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "b49b6f934bb441fca05f6ddc52787d97",
       "version_major": 2,
       "version_minor": 0
      },
      "text/plain": [
       "0it [00:00, ?it/s]"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "- best chisq=8.39958e+00\n",
      "\n",
      "fit run: 2\n",
      "- old chisq=8.39958e+00\n"
     ]
    },
    {
     "data": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "44e0ccec9d32417dbf03a8b95d11fc95",
       "version_major": 2,
       "version_minor": 0
      },
      "text/plain": [
       "0it [00:00, ?it/s]"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "- best chisq=8.38164e+00\n",
      "\n",
      "-------------------------------------------------------------------------\n",
      "Fit report\n",
      "\n",
      "Model: SSC-best-fit-lsb\n"
     ]
    },
    {
     "data": {
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       "<i>Table length=15</i>\n",
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       "<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>1.395828e-02</td><td>0.000000e+00</td><td>--</td><td>False</td><td>False</td></tr>\n",
       "<tr><td>jet_leptonic</td><td>NH_cold_to_rel_e</td><td>cold_p_to_rel_e_ratio</td><td></td><td>1.000000e-01</td><td>0.000000e+00</td><td>--</td><td>False</td><td>True</td></tr>\n",
       "<tr><td>jet_leptonic</td><td>beam_obj</td><td>beaming</td><td>lorentz-factor*</td><td>3.942301e+01</td><td>1.000000e-04</td><td>1.000000e+04</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>3.000000e-02</td><td>0.000000e+00</td><td>--</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>1.194493e+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>2.053776e+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>2.226129e+01</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>6.987685e+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>2.193263e+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>2.363414e-01</td><td>-1.500000e+01</td><td>1.500000e+01</td><td>False</td><td>False</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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       "require([\"datatables\"], function(){\n",
       "    console.log(\"$('#table140676762531392-141414').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",
       "    $('#table140676762531392-141414').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",
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      ],
      "text/plain": [
       "<IPython.core.display.HTML object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n",
      "converged=True\n",
      "calls=42\n",
      "mesg=\n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "'The relative error between two consecutive iterates is at most 0.000000'"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "dof=21\n",
      "chisq=8.381643, chisq/red=0.399126 null hypothesis sig=0.993302\n",
      "\n",
      "best fit pars\n"
     ]
    },
    {
     "data": {
      "text/html": [
       "<i>Table length=15</i>\n",
       "<table id=\"table140676763048496-935692\" 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>-1.005576e+01</td><td>-1.005576e+01</td><td>3.293807e-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>R</td><td>1.308285e+16</td><td>1.308285e+16</td><td>2.008852e+16</td><td>--</td><td>1.057086e+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>1.395828e-02</td><td>1.395828e-02</td><td>7.922503e-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>NH_cold_to_rel_e</td><td>1.000000e-01</td><td>--</td><td>--</td><td>--</td><td>1.000000e-01</td><td>0.000000e+00</td><td>--</td><td>True</td></tr>\n",
       "<tr><td>jet_leptonic</td><td>beam_obj</td><td>3.942301e+01</td><td>3.942301e+01</td><td>2.288258e+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>3.000000e-02</td><td>--</td><td>--</td><td>--</td><td>3.000000e-02</td><td>0.000000e+00</td><td>--</td><td>True</td></tr>\n",
       "<tr><td>jet_leptonic</td><td>gmin</td><td>1.194493e+02</td><td>1.194493e+02</td><td>1.744072e+02</td><td>--</td><td>1.487509e+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>2.053776e+06</td><td>2.053776e+06</td><td>1.141163e+06</td><td>--</td><td>2.310708e+06</td><td>1.000000e+04</td><td>1.000000e+08</td><td>False</td></tr>\n",
       "<tr><td>jet_leptonic</td><td>N</td><td>2.226129e+01</td><td>2.226129e+01</td><td>8.102002e+00</td><td>--</td><td>2.989977e+01</td><td>0.000000e+00</td><td>--</td><td>False</td></tr>\n",
       "<tr><td>jet_leptonic</td><td>gamma0_log_parab</td><td>6.987685e+03</td><td>6.987685e+03</td><td>1.308427e+04</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>2.193263e+00</td><td>2.193263e+00</td><td>2.558336e-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>2.363414e-01</td><td>2.363414e-01</td><td>4.730739e-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>Franceschini_2008</td><td>z_cosm(L,jet_leptonic)</td><td>3.000000e-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(\"$('#table140676763048496-935692').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",
       "    $('#table140676763048496-935692').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",
    "from jetset.model_manager import  FitModel\n",
    "from jetset.jet_model import Jet\n",
    "\n",
    "\n",
    "\n",
    "composite_model.freeze(prefit_jet,'z_cosm')\n",
    "composite_model.freeze(prefit_jet,'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=[1E4,1E8]\n",
    "composite_model.jet_leptonic.parameters.z_cosm.val=0.03\n",
    "\n",
    "\n",
    "composite_model.host_galaxy.parameters.nuFnu_p_host.frozen=False\n",
    "composite_model.host_galaxy.parameters.nu_scale.frozen=True\n",
    "composite_model.jet_leptonic.nu_size=200\n",
    "composite_model.jet_leptonic.IC_nu_size=100\n",
    "model_minimizer_lsb=ModelMinimizer('lsb')\n",
    "best_fit=model_minimizer_lsb.fit(composite_model,sed_data,1E11,1E29,fitname='SSC-best-fit-lsb',repeat=3)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 32,
   "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.nu_min=1E8\n",
    "composite_model.jet_leptonic.nu_min=1E8\n",
    "composite_model.eval()\n",
    "p=composite_model.plot_model(sed_data=sed_data)"
   ]
  },
  {
   "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
}