{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Tutorial 1  for JetSeT "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<style>.container { width:95% !important; }</style>"
      ],
      "text/plain": [
       "<IPython.core.display.HTML object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "from IPython.display import display, HTML\n",
    "display(HTML(\"<style>.container { width:95% !important; }</style>\"))\n",
    "\n",
    "import numpy as np"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Basic setup and access to Jet class"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "metadata": {},
   "outputs": [],
   "source": [
    "import jetset"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "1.3.0rc7\n"
     ]
    }
   ],
   "source": [
    "print(jetset.__version__)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "See for more details:\n",
    "\n",
    "-     https://jetset.readthedocs.io/en/latest/user_guide/jet_model_phys_SSC/Jet_example_phys_SSC.html\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Starting from version 1.3.0 the `Jet` class from the `jet_model` module, and all the derived classes, perform the C computation using threads. \n",
    "This increase the computational speed Each time you create a new Jet object, you will get a log noticing how many C threads have been created\n",
    "The number of threads is automatically determined according to the number of cores and threads of your computation\n",
    "You can revert back to single thread using the `set_num_c_threads` and passing the number of threads:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "===> setting C threads to 12\n"
     ]
    }
   ],
   "source": [
    "from jetset.jet_model import Jet\n",
    "my_jet=Jet(electron_distribution='lppl')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "===> setting C threads to 1\n"
     ]
    }
   ],
   "source": [
    "my_jet.set_num_c_threads(1)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 25,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "===> setting C threads to 12\n"
     ]
    }
   ],
   "source": [
    "my_jet.set_num_c_threads(12)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "lp: log-parabola\n",
      "pl: powerlaw\n",
      "lppl: log-parabola with low-energy powerlaw branch\n",
      "lpep: log-parabola defined by peak energy\n",
      "plc: powerlaw with cut-off\n",
      "bkn: broken powerlaw\n",
      "superexp: powerlaw with super-exp cut-off\n"
     ]
    }
   ],
   "source": [
    "Jet.available_electron_distributions()\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div><i>Table length=12</i>\n",
       "<table id=\"table4434980304\" 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",
       "<thead><tr><th>str12</th><th>str16</th><th>str21</th><th>object</th><th>float64</th><th>float64</th><th>float64</th><th>bool</th><th>bool</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+00</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></td><td>1.000000e+01</td><td>1.000000e-04</td><td>--</td><td>False</td><td>False</td></tr>\n",
       "<tr><td>jet_leptonic</td><td>z_cosm</td><td>redshift</td><td></td><td>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",
       "</table></div>"
      ],
      "text/plain": [
       "<Table length=12>\n",
       " model name        name              par type       ...  log  frozen\n",
       "   str12          str16               str21         ...  bool  bool \n",
       "------------ ---------------- --------------------- ... ----- ------\n",
       "jet_leptonic                R           region_size ... False  False\n",
       "jet_leptonic              R_H       region_position ... False   True\n",
       "jet_leptonic                B        magnetic_field ... False  False\n",
       "jet_leptonic NH_cold_to_rel_e cold_p_to_rel_e_ratio ... False   True\n",
       "jet_leptonic         beam_obj               beaming ... False  False\n",
       "jet_leptonic           z_cosm              redshift ... False  False\n",
       "jet_leptonic             gmin    low-energy-cut-off ... False  False\n",
       "jet_leptonic             gmax   high-energy-cut-off ... False  False\n",
       "jet_leptonic                N      emitters_density ... False  False\n",
       "jet_leptonic gamma0_log_parab      turn-over-energy ... False  False\n",
       "jet_leptonic                s     LE_spectral_slope ... False  False\n",
       "jet_leptonic                r    spectral_curvature ... False  False"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "my_jet.show_pars()\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div><i>Table length=12</i>\n",
       "<table id=\"table4434980976\" 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",
       "<thead><tr><th>str12</th><th>str16</th><th>str21</th><th>object</th><th>float64</th><th>float64</th><th>float64</th><th>bool</th><th>bool</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+00</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></td><td>1.000000e+01</td><td>1.000000e-04</td><td>--</td><td>False</td><td>False</td></tr>\n",
       "<tr><td>jet_leptonic</td><td>z_cosm</td><td>redshift</td><td></td><td>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",
       "</table></div>"
      ],
      "text/plain": [
       "<Table length=12>\n",
       " model name        name              par type       ...  log  frozen\n",
       "   str12          str16               str21         ...  bool  bool \n",
       "------------ ---------------- --------------------- ... ----- ------\n",
       "jet_leptonic                R           region_size ... False  False\n",
       "jet_leptonic              R_H       region_position ... False   True\n",
       "jet_leptonic                B        magnetic_field ... False  False\n",
       "jet_leptonic NH_cold_to_rel_e cold_p_to_rel_e_ratio ... False   True\n",
       "jet_leptonic         beam_obj               beaming ... False  False\n",
       "jet_leptonic           z_cosm              redshift ... False  False\n",
       "jet_leptonic             gmin    low-energy-cut-off ... False  False\n",
       "jet_leptonic             gmax   high-energy-cut-off ... False  False\n",
       "jet_leptonic                N      emitters_density ... False  False\n",
       "jet_leptonic gamma0_log_parab      turn-over-energy ... False  False\n",
       "jet_leptonic                s     LE_spectral_slope ... False  False\n",
       "jet_leptonic                r    spectral_curvature ... False  False"
      ]
     },
     "execution_count": 7,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "my_jet.parameters.par_table\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n",
      "--------------------------------------------------------------------------------\n",
      "model description: \n",
      "--------------------------------------------------------------------------------\n",
      "type: Jet\n",
      "name: jet_leptonic  \n",
      "geometry: spherical  \n",
      "\n",
      "electrons distribution:\n",
      " type: lppl  \n",
      " gamma energy grid size:  201\n",
      " gmin grid : 2.000000e+00\n",
      " gmax grid : 1.000000e+06\n",
      " normalization:  True\n",
      " log-values:  False\n",
      " ratio of cold protons to relativistic electrons: 1.000000e+00\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:Sum, hidden: False\n",
      "   name:Sync, state: self-abs\n",
      "   name:Sync, hidden: False\n",
      "   name:SSC, state: on\n",
      "   name:SSC, hidden: False\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"
     ]
    },
    {
     "data": {
      "text/html": [
       "<div><i>Table length=12</i>\n",
       "<table id=\"table4434971712\" 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",
       "<thead><tr><th>str12</th><th>str16</th><th>str21</th><th>object</th><th>float64</th><th>float64</th><th>float64</th><th>bool</th><th>bool</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+00</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></td><td>1.000000e+01</td><td>1.000000e-04</td><td>--</td><td>False</td><td>False</td></tr>\n",
       "<tr><td>jet_leptonic</td><td>z_cosm</td><td>redshift</td><td></td><td>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",
       "</table></div>"
      ],
      "text/plain": [
       "<Table length=12>\n",
       " model name        name              par type       ...  log  frozen\n",
       "   str12          str16               str21         ...  bool  bool \n",
       "------------ ---------------- --------------------- ... ----- ------\n",
       "jet_leptonic                R           region_size ... False  False\n",
       "jet_leptonic              R_H       region_position ... False   True\n",
       "jet_leptonic                B        magnetic_field ... False  False\n",
       "jet_leptonic NH_cold_to_rel_e cold_p_to_rel_e_ratio ... False   True\n",
       "jet_leptonic         beam_obj               beaming ... False  False\n",
       "jet_leptonic           z_cosm              redshift ... False  False\n",
       "jet_leptonic             gmin    low-energy-cut-off ... False  False\n",
       "jet_leptonic             gmax   high-energy-cut-off ... False  False\n",
       "jet_leptonic                N      emitters_density ... False  False\n",
       "jet_leptonic gamma0_log_parab      turn-over-energy ... False  False\n",
       "jet_leptonic                s     LE_spectral_slope ... False  False\n",
       "jet_leptonic                r    spectral_curvature ... False  False"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "--------------------------------------------------------------------------------\n"
     ]
    }
   ],
   "source": [
    "my_jet.show_model()\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [],
   "source": [
    "my_jet.set_par('B',val=0.2)\n",
    "my_jet.set_par('gamma0_log_parab',val=5E3)\n",
    "my_jet.set_par('gmin',val=1E2)\n",
    "my_jet.set_par('gmax',val=1E8)\n",
    "my_jet.set_par('R',val=1E15)\n",
    "my_jet.set_par('N',val=1E3)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [],
   "source": [
    "my_jet.parameters.B.val=0.2\n",
    "my_jet.parameters.r.val=0.4"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "--------------------------------------------------------------------------------\n",
      "electrons distribution:\n",
      " type: lppl  \n",
      " gamma energy grid size:  201\n",
      " gmin grid : 2.000000e+00\n",
      " gmax grid : 1.000000e+06\n",
      " normalization  True\n",
      " log-values  False\n",
      "\n"
     ]
    },
    {
     "data": {
      "text/html": [
       "<div><i>Table length=12</i>\n",
       "<table id=\"table5625297408\" 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",
       "<thead><tr><th>str12</th><th>str16</th><th>str21</th><th>object</th><th>float64</th><th>float64</th><th>float64</th><th>bool</th><th>bool</th></tr></thead>\n",
       "<tr><td>jet_leptonic</td><td>B</td><td>magnetic_field</td><td>gauss</td><td>2.000000e-01</td><td>0.000000e+00</td><td>--</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+03</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+00</td><td>0.000000e+00</td><td>--</td><td>False</td><td>True</td></tr>\n",
       "<tr><td>jet_leptonic</td><td>R</td><td>region_size</td><td>cm</td><td>1.000000e+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>beam_obj</td><td>beaming</td><td></td><td>1.000000e+01</td><td>1.000000e-04</td><td>--</td><td>False</td><td>False</td></tr>\n",
       "<tr><td>jet_leptonic</td><td>gamma0_log_parab</td><td>turn-over-energy</td><td>lorentz-factor*</td><td>5.000000e+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>gmax</td><td>high-energy-cut-off</td><td>lorentz-factor*</td><td>1.000000e+08</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>gmin</td><td>low-energy-cut-off</td><td>lorentz-factor*</td><td>1.000000e+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>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>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>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",
       "</table></div>"
      ],
      "text/plain": [
       "<Table length=12>\n",
       " model name        name              par type       ...  log  frozen\n",
       "   str12          str16               str21         ...  bool  bool \n",
       "------------ ---------------- --------------------- ... ----- ------\n",
       "jet_leptonic                B        magnetic_field ... False  False\n",
       "jet_leptonic                N      emitters_density ... False  False\n",
       "jet_leptonic NH_cold_to_rel_e cold_p_to_rel_e_ratio ... False   True\n",
       "jet_leptonic                R           region_size ... False  False\n",
       "jet_leptonic              R_H       region_position ... False   True\n",
       "jet_leptonic         beam_obj               beaming ... False  False\n",
       "jet_leptonic gamma0_log_parab      turn-over-energy ... False  False\n",
       "jet_leptonic             gmax   high-energy-cut-off ... False  False\n",
       "jet_leptonic             gmin    low-energy-cut-off ... False  False\n",
       "jet_leptonic                r    spectral_curvature ... False  False\n",
       "jet_leptonic                s     LE_spectral_slope ... False  False\n",
       "jet_leptonic           z_cosm              redshift ... False  False"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "my_jet.show_electron_distribution()\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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uZ3BCAAAA90CxcAAUC/vZbDatTD2mmSv3aWP6CUmSySQN7hiqxIGt1T2igcEJAQAAXBvFwgFQLGpW8oGTmpW0Tyt2Hq3Y1qtVsBIHttbAdo2YqhYAAKAWUCwcAMWiduzNPq3ZSfu1NOWQSq1n/+h2aBKgxAGtdU3XpvKwmA1OCAAA4DooFg6AYlG7juSe0fw1aXp/Q4YKSqySpGb1fXVX/0jdHBcuXy+mqgUAALAXxcIBUCzqRm5hqd75KV1vr03X8YISSVKwv5fG9Gmp0X1aqIG/l8EJAQAAnBfFwgFQLOpWUalVHycf1NxV+5VxolCS5Otp0S09wzU+PlLN6vsanBAAAMD5UCwcAMXCGGXWcn3zS5ZmrtynnUfyJEkeZpOGRYfp7gGt1b5JgMEJAQAAnAfFwgFQLIxls9m0ek+OZiXt07p9xyu2X9GhsRIHtlaPlsEGpgMAAHAOFAsHQLFwHFszT2n2qn365pcs/f6nPbZFAyUOaK0rOjSW2cxUtQAAABdCsXAAFAvHs/9Yvuau3q9Pkw+pxFouSWrbuJ7u6h+p62KaycuDqWoBAAD+iGLhACgWjis7r0jz16brvZ8O6HRxmSSpaZCPxvVrpVt6Rqiet4fBCQEAABwDxcIBUCwcX15Rqd7fkKF5a9J07HSxJCnI11Oj+7TQmL4tFVLP2+CEAAAAxqJYOACKhfMoLrPqs58Pafaq/UrLKZAkeXuYdXNcuCbERyqioZ/BCQEAAIxBsXAAFAvnYy236dsdWZqVtE9bD+ZKkswm6S9dw5Q4IFKdw4IMTggAAFC3KBYOgGLhvGw2m9bvP65ZSfu16tdjFdv7t2ukxAGR6hPZUCYTM0kBAADXR7FwABQL1/DLoVzNXrVfX287rPLfflOimwcpcUBrDencRBamqgUAAC6MYuEAKBauJeN4oeau3q+PNmequOzsVLWRIf6a0D9SN3RvJm8Pi8EJAQAAah7FwgFQLFxTTn6xFq5L16L1B5R7plSS1DjAW3f2a6X/6xWhQB9PgxMCAADUHIqFA6BYuLaC4jJ9sPHsVLVHcoskSQHeHrqtdwvdeVlLNQ70MTghAACA/SgWDoBi4R5Kysr1xdbDmp20T3uy8yVJXhazboxtprv6t1arEH+DEwIAAFQfxcIBUCzcS3m5Td/vztaspH1KPnBSkmQySQlRTZQ4oLW6Nq9vbEAAAIBqoFg4AIqF+9qUfkKzVu7T97uzK7b1bd1QiQNaK75tCFPVAgAAp0GxcAAUC6RmndbsVfv0Rcphlf02V23nsEDdPaC1ro5qIg+L2eCEAAAAl0axcAAUC/zu0Kkzemv1fn24MVNnSq2SpIhgP02Ib6URceHy8WSqWgAA4JgoFg6AYoH/dbKgRIvWH9CCdWk6WXh2qtqG/l6647KWGtW7pYL8mKoWAAA4FoqFA6BY4GLOlFj10eZMzVm1X4dOnZEk+XtZdGvPCI2Lb6WmQb4GJwQAADiLYuEAKBb4M6XWcn297YhmJe3T7qzTkiRPi0nXxTRT4oBItWkcYHBCAADg7igWDoBigcqy2Wxa+esxzVq5TxvSTlRsH9wpVIkDWiu2RQMD0wEAAHdGsXAAFAtUx5aMk5qVtE/f7jyq338ze7YMVuLASA1q35ipagEAQJ2iWDgAigXssTc7X3NW7dNnWw6p1Hr2V7R9aIDuHhCpa6PD5MlUtQAAoA5QLBwAxQI1ISu3SPPXpum9nw6ooOTsVLXN6vtqfHwrjewRLj8vD4MTAgAAV0axcAAUC9Sk3DOlevenA3p7bZpy8kskSQ38PDW6T0uN6dtSwf5eBicEAACuiGLhACgWqA1FpVZ9knxQc1fv14HjhZIkX0+LRvYI1/j4VmrewM/ghAAAwJVQLBwAxQK1yVpu0ze/nJ2q9pdDeZIki9mkYdFhuntApDo04c8cAACwH8XCAVAsUBdsNpvW7j2uWUn7tGZvTsX2Qe0bKXFAa/VsFcxMUgAAoNooFg6AYoG6tv1grmat2qdvth9R+W+/1d0i6itxQGsN7hgqs5mCAQAAqoZi4QAoFjBKek6B5qzer0+SD6qkrFyS1LqRv+7u31rDuzWTlwdT1QIAgMqhWDgAigWMln26SAvWpuudnw7odFGZJCk00Fvj+0Xq1l4RqufNVLUAAODSKBYOgGIBR3G6qFQfbMzQvDVpOppXLEkK9PHQqD4tNLZvKzUK8DY4IQAAcFQUCwdAsYCjKS6zaumWQ5q9ar/2HyuQJHl5mDUitrnu6h+pFg39DU4IAAAcDcXCAVAs4KjKy236dudRzUrap5TMU5Iks0m6uktTJQ5orahmQcYGBAAADoNi4QAoFnB0NptNG9JOaFbSPq1MPVaxPb5tiBIHtFbf1g2ZqhYAADdHsXAAFAs4k52H8zR71T59te2IrL/NVdulWZASB7TWVVFNZGGqWgAA3BLFogZkZmZq1KhRys7OloeHh/7xj39oxIgRlf55igWcUeaJQr21er8Wb85UUenZqWpbNvTTXf1b64buzeTjaTE4IQAAqEsUixpw5MgRHT16VDExMcrOzlb37t2Vmpoqf//K3eBKsYAzO55frIXrD2jR+nSdKiyVJIXU89ad/Vrq9t4tFOjjaXBCAABQFygWtaBr1676+uuvFR4eXqn9KRZwBQXFZfpwU6bmrd6vw7lFkqR63h66rVeE7uzXSqGBPgYnBAAAtakq32mddgneVatW6dprr1VYWJhMJpOWLl163j4zZsxQq1at5OPjo9jYWK1evbpa77V582aVl5dXulQArsLf20Pj+rVS0iOD9J8R0WoXWk/5xWWavWq/4v/9ox77dJv2H8s3OiYAAHAATlssCgoKFB0drenTp1/w9cWLF2vSpEl68skntWXLFsXHxyshIUEZGRkV+8TGxioqKuq8x+HDhyv2OX78uEaPHq05c+bU+mcCHJWnxawbY5vrvw/217wxcerRsoFKrOX6cFOmrnglSYnvJFdMXQsAANyTS1wKZTKZ9Nlnn2n48OEV23r16qXu3btr5syZFds6duyo4cOHa8qUKZU6bnFxsQYPHqwJEyZo1KhRf7pvcXFxxfO8vDyFh4dzKRRc1ub0s1PVfrcru2Jb78hgJQ5orQHtGjFVLQAALsAtLoW6lJKSEiUnJ2vIkCHnbB8yZIjWrVtXqWPYbDaNHTtWl19++Z+WCkmaMmWKgoKCKh5cNgVXF9cyWG+N6aFvH+qvG7s3l4fZpJ/2n9DYtzfp6tfX6POUQyqzlhsdEwAA1BGXLBY5OTmyWq0KDQ09Z3toaKiysrIqdYy1a9dq8eLFWrp0qWJiYhQTE6Pt27dfdP/HH39cubm5FY/MzEy7PgPgLNqFBug/N0dr1SODNK5fK/l5WbTrSJ4e/DBFA19eqYXr0nWmxGp0TAAAUMs8jA5Qm/73UgybzVbpyzP69eun8vLK/2urt7e3vL29q5QPcCVh9X31j2s66YHL22jR+gNasC5dB0+e0dNf7NBr3+/R2L4tNbpPC9X38zI6KgAAqAUuecYiJCREFovlvLMT2dnZ553FAFCz6vt5aeIVbbX20cv13HWd1byBr04UlOiVFb+q779+0HNf7tThU2eMjgkAAGqYSxYLLy8vxcbGasWKFedsX7Fihfr27WtQKsC9+HpZNLpPS618eKBeuyVGHZsGqrDEqvlr09R/6o+a/FGKfj162uiYAACghjjtpVD5+fnau3dvxfO0tDSlpKQoODhYERERmjx5skaNGqW4uDj16dNHc+bMUUZGhhITEw1MDbgfD4tZ18U007DoMK3ak6NZK/dp/f7jWvLzIS35+ZCu7NhYiQNaK65lsNFRAQCAHZx2utmVK1dq0KBB520fM2aMFixYIOnsAnlTp07VkSNHFBUVpWnTpql///51ko+Vt4GLS8k8pVkr92n5ziz9/jdQXIsGShzQWpd3aCyzmalqAQBwBFX5Tuu0xcLRUSyAP7fvWL7mrtqvJT8fUslvU9O2C62nu/u31rCYMHlaXPJqTQAAnAbFwgFQLIDKO5pXpPlr0/TeTxnKLy6TJIUF+WhcfKRu6REuf2+nvWoTAACnRrFwABQLoOpyz5TqvQ0HNH9NunLyz65kH+TrqTF9WmhM35ZqWI8pnQEAqEsUCwdAsQCqr6jUqiU/H9KcVfuUfrxQkuTjadbNceGaEB+p8GA/gxMCAOAeKBYOgGIB2M9abtPyHVmalbRP2w7mSpIsZpOu6dpUd/dvrU5h/G4BAFCbKBYOgGIB1Bybzab1+45rZtI+rd6TU7F9QLtGShzQWr0jg2UyMZMUAAA1jWLhACgWQO345VCuZiXt07LtR1T+299e0eH1dc+A1hrSKZSpagEAqEEUCwdAsQBq14HjBZq7er8+3nxQxWVnp6ptHxqgB65oo6ujmlIwAACoARQLB0CxAOrGsdPFWrAuTYvWHdDp36aqbdu4nh64oq3+0qWpLBQMAACqjWLhACgWQN3KLSzV/LVpmr82TaeLzhaM1o389cDlbXVtdBgFAwCAaqBYOACKBWCMvKJSLVibrnlr0pR7plSSFBnir/svb6Nh0WHyYDVvAAAqjWLhACgWgLFOF5Vq0foDmrt6v04Vni0YLRv66f7L22p4DAUDAIDKoFg4AIoF4Bjyi8v0zm8F40RBiSQpIthP9w9qo+u7N5MnBQMAgIuiWDgAigXgWAqKy/TehgOas2q/cvL/f8F48Iq2Gt6tGfdgAABwARQLB0CxABzTmRKr3ttwQLOS9isnv1jS2Zu8Jw9ur4SoJkxTCwDAH1AsHADFAnBsZ0qsWrg+XbOS9lXcg9GpaaD+OqSdLu/QmJW8AQAQxcIhUCwA53C6qFTz16TrrdX7K9bB6BZRXw8Paa++rRtSMAAAbo1i4QAoFoBzOVlQojmr92vB2nSdKbVKknpHBuvhIe0V1zLY4HQAABiDYuEAKBaAc8o+XaSZK/fpvZ8yVGItlyQNbN9Ifx3cXl2aBxmcDgCAukWxcAAUC8C5HT51Rm/8sFcfb85UWfnZvyaHdg7Vw0Paq21ogMHpAACoGxQLB0CxAFzDgeMFeu27Pfos5ZBsNslskkbEhmvS4LZqGuRrdDwAAGoVxcIBUCwA17Ln6Gm9/G2qlu84Kkny9jDrjsta6Z4BrRXk52lwOgAAagfFwgFQLADXlHzgpP79zW5tTD8hSQry9dR9g1prdJ+W8vG0GJwOAICaRbFwABQLwHXZbDb9sDtb//7vbv16NF+SFBbko8lD2ut6VvEGALgQioUDoFgArs9abtOSnw/qlRW/6khukSSpfWiAHk1or0HtWWQPAOD8KBYOgGIBuI+iUqsWrU/Xmz/uU+6Zs6t492wVrMcSOqh7RAOD0wEAUH0UCwdAsQDcT25hqWYk7dXba9NVUnZ2DYyrOjfRYwkd1DLE3+B0AABUHcXCAVAsAPd1+NQZvfrdr/ok+aDKbZKnxaTRfVpq4uVtmUEKAOBUKBYOgGIB4Nejp/Xisl1amXpMklTfz1MPXtFWt/duIU+L2eB0AAD8OYqFA6BYAPhd0q/H9MLXOytmkIoM8ddjCR00uFMoN3gDABwaxcIBUCwA/FGZtVwfbT6oV1akKie/RJLUOzJYf/9LJ0U1CzI4HQAAF0axcAAUCwAXcrqoVDNX7tNba9JUUlYuk0m6sXtzPTykvZoE+RgdDwCAc1AsHADFAsClHDxZqJeWp+rzlMOSJF9Pi+7qH6m7B0TKz8vD4HQAAJxFsXAAFAsAlbEl46T++fUuJR84KUkKDfTWI0M76PpuzWRmBW8AgMEoFg6AYgGgsmw2m775JUtTvtmlzBNnJEkx4fX17LDOig6vb2w4AIBbo1g4AIoFgKoqLrNq/pp0Tf9hjwpKrJKkm+Oa629DO6hRgLfB6QAA7ohi4QAoFgCq62hekf79zW4t2XJIkhTg7aGJV7TVmL4t5eXB+hcAgLpDsXAAFAsA9ko+cFLPfrlD2w7mSpIiG/nrqWs6aWD7xgYnAwC4C4qFA6BYAKgJ5eU2fZJ8UFOX765Y/+LKjo319790UssQf4PTAQBcHcXCAVAsANSkvKJSvf7dHi1Yl66ycpu8LGaNi2+l+we1kb8309MCAGoHxcIBUCwA1Ia92af13Fe7tOrXY5LOTk/7WEIHDY9pJpOJ6WkBADWLYuEAKBYAaovNZtP3u7L13Fc7lXGiUJLUs1Wwnr8uSu2bBBicDgDgSigWDoBiAaC2FZVaNW9Nmqb/sFdnSq2ymE2687KWevDKdqrH5VEAgBpQle+0zFsIAE7Kx9Oi+wa10Xd/HaChnUNlLbdp7uo0XfmfJH297Yj4dyMAQF2iWACAk2tW31ezR8Xp7bE9FBHsp6y8It33/s8aPX+j9h/LNzoeAMBNUCwAwEUM6tBY3z7UXw9e0VZeHmat3pOjq15drZeXp+rMbyt5AwBQWygWAOBCfDwtemhwO307qb8GtGukEmu5pv+4V4OnJem7nUeNjgcAcGEUCwBwQS1D/LXgjh6adXt3hQX56ODJMxq/aLPGL9ykzN9mkgIAoCZRLADARZlMJl0V1VTf/XWAEge0lofZpO92ZevKV5I0/Yc9KikrNzoiAMCFUCwAwMX5eXnosYQO+u+kePWJbKjisnK9/O2vuuaN1dqcfsLoeAAAF0GxAAA30aZxgN6f0EuvjoxRQ38v/Xo0XzfNWq8nPtuu3DOlRscDADg5igUAuBGTyaTh3Zrp+78O0M1xzSVJ72/I0JWvJOmrbYdZ+wIAUG0UCwBwQ/X9vDT1pmh9eFdvRTby17HTxbr//S26cwE3dwMAqodiAQBurHdkQ33zYPzZtS8sZv2YekxDpq3S3FX7VWbl5m4AQOVRLADAzXl7nF37YtmD8erZKlhnSq16YdkuXffmWm07eMroeAAAJ0GxAABIkto0rqcPJ/TW1Bu7KsjXUzsO52n4m2v17Jc7lF9cZnQ8AICDo1gAACqYzSbd3CNc3/91gIbHhKncJr29Nl2DX0nS97tYuRsAcHEUCwDAeULqeevVW7pp0Z09FRHspyO5RRq3cLMe/HCLThSUGB0PAOCAKBYAgIvq366Rlk/qr7v6R8pskj5POawrX0nSF1uZmhYAcC6KBQDgkny9LHri6o767N7L1D40QCcKSjTxgy2asChZR/OKjI4HAHAQFItL8PDwUExMjGJiYjR+/Hij4wCAoaLD6+vLB/rpoSvbydNi0ne7jurKV5L04cYMzl4AAGSy8f8GFxUSEqKcnJxq/WxeXp6CgoKUm5urwMDAGk4GAMZKzTqtRz7dpq2ZpyRJl7VpqCnXd1VEQz9jgwEAalRVvtNyxgIAUGXtmwRoyT199eTVHeXjadbavcc19NVVmrcmTdZy/r0KANyR0xaLVatW6dprr1VYWJhMJpOWLl163j4zZsxQq1at5OPjo9jYWK1evbpK75GXl6fY2Fj169dPSUlJNZQcAFyDxWzShP6R+u+D/dU78uzCes9/tVMjZq3TnqOnjY4HAKhjTlssCgoKFB0drenTp1/w9cWLF2vSpEl68skntWXLFsXHxyshIUEZGRkV+8TGxioqKuq8x+HDhyVJ6enpSk5O1qxZszR69Gjl5eXVyWcDAGfSMsRf74/vrRev76J63h76OeOU/vL6Gr3x/R6VWsuNjgcAqCMucY+FyWTSZ599puHDh1ds69Wrl7p3766ZM2dWbOvYsaOGDx+uKVOmVPk9EhIS9PzzzysuLu6CrxcXF6u4uLjieV5ensLDw7nHAoBbOZJ7Rk9+9ot+2J0tSerSLEj/uTla7UIDDE4GAKgOt7/HoqSkRMnJyRoyZMg524cMGaJ169ZV6hgnT56sKAoHDx7Uzp07FRkZedH9p0yZoqCgoIpHeHh49T8AADippkG+mjcmTq+OjFGQr6e2H8rVNa+v0cyV+1TG2QsAcGkuWSxycnJktVoVGhp6zvbQ0FBlZWVV6hi7du1SXFycoqOjdc011+i1115TcHDwRfd//PHHlZubW/HIzMy06zMAgLMymUwa3q2ZVjzUX1d0aKwSa7n+/d/dumnWeu3Nzjc6HgCglngYHaA2mUymc57bbLbztl1M3759tX379kq/l7e3t7y9vauUDwBcWeNAH701Jk6f/nxIz365QymZp3T166v1tyHtdWe/VrKYK/f3MQDAObjkGYuQkBBZLJbzzk5kZ2efdxYDAFB7TCaTboptrm8f6q/+7RqppKxcLyzbpZGz1ystp8DoeACAGuSSxcLLy0uxsbFasWLFOdtXrFihvn37GpQKANxX0yBfLbyjh6bc0EX+XhZtPnBSCa+t0ttr01TOuhcA4BKc9lKo/Px87d27t+J5WlqaUlJSFBwcrIiICE2ePFmjRo1SXFyc+vTpozlz5igjI0OJiYkGpgYA92UymXRrzwjFtw3RI59s07p9x/Xslzv131+y9NJN0azaDQBOzmmnm125cqUGDRp03vYxY8ZowYIFks4ukDd16lQdOXJEUVFRmjZtmvr3718n+aoyNRcAuJvycpve23BALy7brTOlVvl5WfTE1R11W6+ISt8LBwCofVX5Tuu0xcLRUSwA4M9lHC/Uw59s1ca0E5Kk+LYheummaDUJ8jE4GQBAYh0LAICTiGjopw8n9NZT13SSt4dZq/fkaOirq/Tl1sNGRwMAVBHFAgBgKLPZpDv7tdLXE+PVtXmQcs+U6oEPtujBD7cot7DU6HgAgEqiWAAAHEKbxvX06T19NfHyNjKbpM9TDuuq11Zp7d4co6MBACqBYgEAcBieFrMmD2mvT+7pq5YN/XQkt0i3vbVBz3+1U0WlVqPjAQAugWIBAHA43SMa6OuJ8fq/XhGSpHlr0nTtG2u043CuwckAABdDsQAAOCR/bw+9eH0XzR8bp5B63tqTna/hb67VzJX7ZGVRPQBwOBQLAIBDu7xDqJZPiteQTqEqtdr07//u1i1z1ivzRKHR0QAAf0CxAAA4vIb1vDV7VKxeuqmr6nl7aFP6SV316ip9tClTLMcEAI6BYgEAcAomk0kj4sL1zYPx6tGygQpKrHrk0226972fdaqwxOh4AOD2KBYAAKcSHuynD+/qo0ev6iAPs0nf/JKlhNdW66f9x42OBgBujWIBAHA6FrNJ9wxsrSX39lWrEH8dyS3SrXN/0kvLd6vUWm50PABwSxQLAIDT6tq8vr56oJ9ujmsum01688d9umnWeh04XmB0NABwOxQLAIBT8/f20NSbojX9/7opwMdDWzNP6erXVmvJzwe5sRsA6hDFAgDgEq7pGqb/Tuqvni2DVVBi1eSPturBD1OUV1RqdDQAcAsUCwCAy2hW31cf3NVbfx3cThazSV9sPayrX1ut5AMnjI4GAC6PYgEAcCkWs0kPXNFWH93dR+HBvjp48oxunv2TXvtuj8q4sRsAag3FAgDgkmJbNNCyifG6vlszWcttmvbdr7plzk86eJIVuwGgNlAsAAAuK8DHU9NGxmjayGjV8/bQ5gMndfVrq/XfX44YHQ0AXA7FAgDg8q7v1lzLJsYrJry+8orKlPjuz3r6819UVGo1OhoAuAyKBQDALUQ09NPHiX1094BISdLC9Qd0w4x12n8s3+BkAOAaKBYAALfhaTHr8YSOevuOHgr299LOI3m69o01WrrlkNHRAMDpUSwAAG5nUPvG+ubBePWOPLvmxaTFKfrbx1tVWFJmdDQAcFoUCwCAWwoN9NF743tr0pVtZTZJHycf1LDpa5WaddroaADglCgWAAC3ZTGbNOnKdnpvfG81DvDW3ux8DZu+Rh9szJDNZjM6HgA4FYoFAMDt9WndUN88GK8B7RqpuKxcjy/Zrokfpuh0UanR0QDAaVAsAACQ1LCet94e20OPJ3SQh9mkL7ce1jVvrNH2g7lGRwMAp0CxAADgN2azSXcPaK2PEvuoWX1fHTheqBtmrtWCtWlcGgUAf4JiAQDA/+ge0UDLJsZraOdQlVpteubLnbr//S1cGgUAl0CxAADgAoL8PDXr9lg9fW0neZhN+nr7EV03fa12Z+UZHQ0AHBLFAgCAizCZTLrjslb6KLGPwoJ8tD+nQMPfXKuPN2caHQ0AHA7FAgCAP9E9ooG+mnh21qii0nL97ZNteuSTrSoqtRodDQAcBsUCAIBKCPb30ttje+jhIe1kNkkfbT6o62esU1pOgdHRAMAhUCwAAKgks9mk+y9vq3fH9VJIPS/tOpKna99Yo2+2HzE6GgAYjmIBAEAV9W0Toq8nxqtny2DlF5fpnvd+1rNf7lBJWbnR0QDAMBQLAACqITTQR+9P6KW7B0RKkt5em66Rc9br8KkzBicDAGNQLAAAqCYPi1mPJ3TU3NFxCvTx0JaMU/rL66u1MjXb6GgAUOcoFgAA2Glwp1B9PTFeXZoF6WRhqe5YsEmvfverystZrRuA+6BYAABQA8KD/fRxYh/d1itCNpv06nd7NH7RZuUWslo3APdAsQAAoIb4eFr0wvVd9PKIaHl7mPXD7mwNe3ONdh1htW4Aro9iAQBADbsptrk+vaevmjfw1YHjhbp+xlot3XLI6FgAUKtqpFiUlpYqMzNTqampOnHiRE0cEgAApxbVLEhf3t9P/X9brXvS4hQ98wVT0gJwXdUuFvn5+Zo9e7YGDhyooKAgtWzZUp06dVKjRo3UokULTZgwQZs2barJrAAAOJUGv63WPfHyNpKkBevS9X9zf1J2XpHByQCg5lWrWEybNk0tW7bU3Llzdfnll2vJkiVKSUlRamqq1q9fr6efflplZWUaPHiwrrrqKu3Zs6emcwMA4BQsZpMmD2mvt0bHKcDHQ5sPnNRf3lijTemc4QfgWkw2m63Kc+GNGDFCTz31lLp06XLJ/YqLizVv3jx5eXlp/Pjx1Q7pjPLy8hQUFKTc3FwFBgYaHQcA4ADScgqU+E6yUo+elofZpCf/0lFj+7aUyWQyOhoAXFBVvtNWq1jgz1EsAAAXUlhSpsc+3a4vth6WJF0XE6YpN3SRn5eHwckA4HxV+U7LrFAAANQhPy8PvXZLjJ66ppMsZpM+TzmsG2asU3pOgdHRAMAuVS4WJ0+erJj56dixY/r000/1yy+/1HgwAABclclk0p39WumDCb0VUs9bu7NOa9j0NUr69ZjR0QCg2qpULN566y3FxcUpNjZWM2fO1PXXX6/vv/9et9xyi+bMmVNbGQEAcEk9WwXr64n91D2ivvKKynTH2xs1O2mfuEoZgDOq0j0W0dHR2rBhgwoLCxUREaG0tDQ1atRIeXl56t+/v1JSUmoxqnPhHgsAQGUVl1n19Oc79OGmTEnSsOgw/fvGrvL1shicDIC7q7V7LCwWi3x8fBQcHKw2bdqoUaNGkqTAwEBmtAAAoJq8PSyackMXPX9dZ3mYTfpi62HdNGudDp4sNDoaAFRalYqFh4eHiorOLuqTlJRUsf306dM1mwoAADdjMpk0qk9LvTe+lxr6e2nH4TwNm75W6/cdNzoaAFRKlYrFDz/8IG9vb0lSUFBQxfYzZ85o3rx5NZsMAAA31Cuyob54oJ+imgXqREGJbp+3QQvXpXPfBQCHV6ViUa9evXMuecrKypIkNW7cWN27d6/ZZAAAuKlm9X31SWJfDY8Jk7Xcpqe/2KFHP92m4jKr0dEA4KLsWsdiyJAhNZUDAAD8gY+nRdNGxujJqzvKbJI+2nxQI2f/pKN5RUZHA4ALsqtYcFoWAIDaYzKZNKF/pBbe2VNBvp5KyTyla99Yo58zThodDQDOY1exYCYoAABqX3zbRvri/svUPjRA2aeLdcvsn7R4U4bRsQDgHHYVCwAAUDdaNPTXknv76qrOTVRiLdejn27XM1/sUJm13OhoACCJYgEAgNPw9/bQzNu766+D20mSFqxL1x0LNin3TKnByQDAzmLh5eVVUzkAAEAlmEwmPXBFW826PVa+nhat3pOj62es1f5j+UZHA+Dm7CoWmzdvrqkcDmfatGnq3LmzOnXqpIkTJ3KjOgDAoVwV1USf3NNHYUE+2n+sQMPfXKs1e3KMjgXAjXEp1AUcO3ZM06dPV3JysrZv367k5GT99NNPRscCAOAcncOC9Pn9/dQ9or7yiso05u2NWrSexfQAGMPD3gOcOnVK8+bNU1ZWllq1aqWYmBhFR0fL39+/JvIZpqysTEVFZ+cKLy0tVePGjQ1OBADA+RoFeOuDu3rr8SXbteTnQ3rq8x1KzTqtZ4Z1lqeFfz8EUHfs/hvnhhtu0L/+9S/t2LFDM2bM0MCBAxUUFKR27drp5ptvromM51m1apWuvfZahYWFyWQyaenSpeftM2PGDLVq1Uo+Pj6KjY3V6tWrK338Ro0a6eGHH1ZERITCwsJ05ZVXqnXr1jX4CQAAqDneHhb9Z0S0HkvoIJNJem9DhkbP26iTBSVGRwPgRuw+Y7FhwwYlJSUpLi5OklRcXKwdO3Zo69at2rp1q90BL6SgoEDR0dG64447dOONN573+uLFizVp0iTNmDFDl112mWbPnq2EhATt3LlTERERkqTY2FgVFxef97PffvutfH199dVXXyk9PV2+vr5KSEjQqlWr1L9//1r5PAAA2MtkMilxQGu1aVRPD364Rev3H9fwGWs1b0yc2jQOMDoeADdgstl5IWavXr00c+ZMde/evaYyVYnJZNJnn32m4cOHn5Ope/fumjlzZsW2jh07avjw4ZoyZcqfHvPjjz/WypUr9eabb0qSXnrpJdlsNj3yyCMX/Zni4uJzikpeXp7Cw8OVm5urwMDAanwyAACqZ3dWnsYv3KyDJ88owNtDr/9fNw1qzyW9AKouLy9PQUFBlfpOa/elUP/+97/1j3/8o+J+BKOVlJQoOTlZQ4YMOWf7kCFDtG7dukodIzw8XOvWrVNRUZGsVqtWrlyp9u3bX/JnpkyZoqCgoIpHeHh4tT8DAAD26NAkUJ/fd5l6tgzW6eIyjVuwSW+t3s9N3QBqld3FolWrVjp9+rQ6duyoJ554Qp9//rkyMjJqIlu15OTkyGq1KjQ09JztoaGhysrKqtQxevfurauvvlrdunVT165d1bp1aw0bNuySP/P4448rNze34pGZmVntzwAAgL0a1vPWu+N7aWRcuMpt0j+/3qVHP92mkjJW6gZQO+y+x+LGG2/U8ePHNWjQIG3cuFFz5szRyZMnVb9+fUVHR+uHH36oiZxVZjKZznlus9nO23YpL7zwgl544YVK7+/t7S1vb+9K7w8AQG3z8jDrXzd2UbsmAXrh6536aPNBZZwo1KzbY1Xfj0VuAdQsu4vFzp079dNPP6lr164V2zIyMrRlyxalpKTYe/gqCwkJkcViOe/sRHZ29nlnMQAAcHUmk0nj+rVSZIi/7n//Z/20/4RumLFO88f2UMsQ554aHoBjsftSqB49eig/P/+cbREREbruuuv09NNP23v4KvPy8lJsbKxWrFhxzvYVK1aob9++dZ4HAABHMKhDY31yT9+zK3XnFGj4jLXamHbC6FgAXIjdxWLSpEl65plndPLkyZrIUyn5+flKSUmpOCOSlpamlJSUins7Jk+erLfeekvz58/Xrl279NBDDykjI0OJiYl1lhEAAEfTsWmglt53mbo2D9KpwlLd/tYGfbbloNGxALgIu6ebNZvPdpPg4GANGzZMvXv3rrjpubbuOVi5cqUGDRp03vYxY8ZowYIFks4ukDd16lQdOXJEUVFRmjZtWp2uQ1GVqbkAAKhLZ0qsemhxiv674+xlwxMvb6OHBrer0r2IANxDVb7T2l0sDhw4oJSUFG3durXif9PT02WxWNShQwdt27bNnsM7LYoFAMCRlZfb9O/luzU7ab8kaVh0mKbe1FU+nhaDkwFwJFX5Tmv3zdstWrRQixYtdN1111VsO336tFJSUty2VAAA4OjMZpMeT+ioVg399felv+iLrYd18GSh5o6OU8N6zHIIoOrsPmOxZs0aBQQEKDo6uqYyuQTOWAAAnMXavTlKfDdZp4vKFB7sq7fH9lCbxgFGxwLgAOp05e0HHnhAycnJ523/9ddflZuba+/hAQBALbusTYg+u/cyRQT7KfPEGV0/Y53W7MkxOhYAJ2N3sUhNTdWAAQPO2/7jjz/q1ltvtffwAACgDrRpXE9L77tMcS0a6HRRmca8vVEfbMwwOhYAJ2J3sQgMDNSJE+fPgx0fH6+NGzfae3gAAFBHgv299O74XrouJkzWcpseX7JdU77ZpfJyu66aBuAm7C4Ww4YN08svv3z+gc1mlZSU2Ht4AABQh3w8LXp1ZIwmXdlWkjQ7ab8mfrhFRaVWg5MBcHR2F4sXX3xRq1ev1pVXXlkxC1RRUZH+/e9/q2vXrnYHBAAAdctkMmnSle30nxHR8jCb9NW2Ixo1b4NOFfIPhgAuzu5iERISovXr18vLy0sxMTHy9fVVQECAvvzyS7300ks1kREAABjgxtjmWnhnTwV4e2hT+kndMHOdMo4XGh0LgIOye7rZP8rMzNSWLVvk6empXr16KTg4uKYO7XSYbhYA4Cp2Z+Xpjrc36UhukULqeWnemB6KDq9vdCwAdaDWV97OyMhQREREpfc/dOiQmjVrVtW3cWoUCwCAK8nKLdIdCzZp15E8+Xia9cat3TW4U6jRsQDUslpfx6JHjx6aMGHCJWd9ys3N1dy5cxUVFaUlS5ZU520AAICDaBLko48T+6h/u0YqKi3X3e9s1qL16UbHAuBAPKrzQ7t27dKLL76oq666Sp6enoqLi1NYWJh8fHx08uRJ7dy5Uzt27FBcXJxeeuklJSQk1HRuAABQx+p5e2jemDj9Y+kv+nBTpp76fIcOnjyjx67qILPZZHQ8AAaz6x6LoqIiLVu2TKtXr1Z6errOnDmjkJAQdevWTUOHDlVUVFRNZnUqXAoFAHBVNptNb/64Vy9/+6sk6S9dmuo/N0fLx9NicDIANa3W77HAn6NYAABc3WdbDuqRT7ap1GpTXIsGmjs6Tg38vYyOBaAG1fo9FgAAANd3+206Wh8PbT5wUjfOXKcDxwuMjgXAIBQLAABQbX1bh+jTe/oqLMhH+3MKdMOMddqaecroWAAMQLEAAAB2aRcaoM/uu0ydwwJ1vKBEt8z5SStTs42OBaCOUSwAAIDdQgN9tPjuPopvG6IzpVaNX7hZnyQfNDoWgDpEsQAAADXi7HS0PTQ8Jkxl5TY9/PFWzVi5V8wTA7gHigUAAKgxXh5mvXJzjO7qHylJmvrfVD3zxQ5ZyykXgKujWAAAgBplNpv0xNUd9fe/dJQkLVx/QA988LOKSq0GJwNQmygWAACgVoyPj9Trt3aTp8WkZduzNGb+RuWeKTU6FoBaQrEAAAC1Zlh0mBbe0VP1vD20Ie2Ebp61Xlm5RUbHAlALKBYAAKBW9W0TosV391ajAG+lHj2tG2as1d7s00bHAlDDKBYAAKDWdQ4L0pJ7+iqykb8O5xbpxpnrtTn9hNGxANQgigUAAKgT4cF++iSxr2LC6yv3TKlue2uDvt2RZXQsADWEYgEAAOpMsL+X3p/QS1d0aKzisnIlvpus9zdkGB0LQA2gWAAAgDrl5+Wh2aNiNTIuXOU26YnPtmv6D3tYSA9wcjVSLEpLS5WZmanU1FSdOMH1kgAA4NI8LGb968Yuun9QG0nSy9/+que/2qVyFtIDnFa1i0V+fr5mz56tgQMHKigoSC1btlSnTp3UqFEjtWjRQhMmTNCmTZtqMisAAHAhJpNJDw9tr39c00mSNH9tmv768VaVWssNTgagOqpVLKZNm6aWLVtq7ty5uvzyy7VkyRKlpKQoNTVV69ev19NPP62ysjINHjxYV111lfbs2VPTuQEAgIsY16+VXrk5WhazSZ9tOaS730nWmRJW6QacjclWjQsaR4wYoaeeekpdunS55H7FxcWaN2+evLy8NH78+GqHdEZ5eXkKCgpSbm6uAgMDjY4DAIDD+2H3Ud373s8qKi1XXIsGmjemh4L8PI2OBbi1qnynrVax+KPHHntM//jHP+Tv72/PYVwOxQIAgKrbnH5Cdy7YpLyiMnVoEqCFd/ZUaKCP0bEAt1WV77R237y9cuVKtWnTRvPmzWM2BwAAYJe4lsH6KLGPGgd4a3fWad00a53ScwqMjgWgEuwuFj/99JNeeuklPfvss+revbuSkpJqIhcAAHBTHZoE6tN7+qpFQz9lnjijm2at147DuUbHAvAnamS62dtvv12pqam67rrr9Je//EU33HCD9u/fXxOHBgAAbuj3Vbo7NQ1UTn6xbpn9k37af9zoWAAuocYWyPP19dUzzzyj1NRU+fv7KyoqSo8++qh++eUXWa3M7AAAAKqmUYC3Pry7t3q1Ctbp4jKNnr9RK3YeNToWgIuw++bt4uJirV27Vrt371ZqaqpSU1O1e/duZWZmSpJsNpu8vb3VqVMnJScn10hoZ8DN2wAA1IyiUqse+GCLVuw8KovZpH/d0EUj4sKNjgW4hap8p/Ww980GDRqklJQUde3aVe3atVN8fLzGjRundu3aqV27dioqKlJKSoq2bdtm71sBAAA35ONp0czbuuvxJdv1cfJB/e2Tbco9U6rx8ZFGRwPwB3afsWjfvr0WL16smJiYGorkGjhjAQBAzbLZbPrXN7s1e9XZ+zgnXtFWD13ZViaTyeBkgOuq0zMWqamp9h4CAADgT5lMJj1+dUcF+nrqpeWpev37PTpdVKp//KWTzGbKBWC0Grt5GwAAoC7cN6iNnruusyTp7bXpevTTbbKWs5YWYLRqFYuMjIwq7X/o0KHqvA0AAMAFje7TUq/cHC2L2aSPkw/qgQ9+VklZudGxALdWrWLRo0cPTZgwQRs3brzoPrm5uZo7d66ioqK0ZMmSagcEAAC4kBu6N9eb/9ddXhazlm3P0oRFm3WmhCnuAaNU6+btEydO6MUXX9T8+fPl6empuLg4hYWFycfHRydPntTOnTu1Y8cOxcXF6e9//7sSEhJqI7tD4+ZtAADqxuo9x3TXomSdKbWqR8sGmje2hwJ9PI2OBbiEqnyntWtWqKKiIi1btkyrV69Wenq6zpw5o5CQEHXr1k1Dhw5VVFRUdQ/t9CgWAADUneQDJzT27U06XVSmqGaBWnhHTzWs5210LMDp1VmxwMVRLAAAqFs7Dudq9LyNOl5QotaN/PXe+N5qEuRjdCzAqdV5sfj+++/1/fffKzs7W+Xl5944NX/+fHsP75QoFgAA1L19x/J1+1sbdCS3SM0b+Oq98b3UoqG/0bEAp1WV77R2Tzf77LPPasiQIfr++++Vk5OjkydPnvMAAACoK60b1dPHiX3UsqGfDp48oxGz1is167TRsQC3YPcZi6ZNm2rq1KkaNWpUTWVyCZyxAADAONmnizR63kbtzjqt+n6eWnhHT0WH1zc6FuB06vSMRUlJifr27WvvYQAAAGpM4wAffXhXb8WE19epwlLd9tYGbUw7YXQswKXZXSzGjx+v999/vyayAAAA1Jj6fl56d3wv9YlsqPziMo2Zv1Fr9+YYHQtwWR72HqCoqEhz5szRd999p65du8rT89x5o1955RV73wIAAKBa6nl76O07eujud5KV9Osx3bFgk2bfHqtBHRobHQ1wOXbfYzFo0KCLH9xk0g8//GDP4Z0W91gAAOA4isusuv/9LVqx86g8LSa9cWs3XRXV1OhYgMNjHQsHQLEAAMCxlFrL9dDiFH217YgsZpNeuTla18U0MzoW4NDq9OZtAAAAZ+BpMeu1W7rpxu7NZS23adLiFH20KdPoWIDLoFgAAAC3YTGb9NJNXXVbrwjZbNIjn27TovXpRscCXALFAgAAuBWz2aR/Do/SnZe1kiQ99fkOzV213+BUgPOjWAAAALdjMpn0j2s66r5BrSVJLyzbpTe+32NwKsC5USwAAIBbMplM+tvQDvrr4HaSpP+s+FUvLd8t5rUBqsfti8X111+vBg0a6KabbqrSawAAwDU8cEVbPXl1R0nSmz/u0z+/3kW5AKrB7YvFxIkTtWjRoiq/BgAAXMeE/pF6/rrOkqR5a9L096W/qLyccgFUhdsXi0GDBikgIKDKrwEAANcyqk9LTb2xq0wm6b0NGXr0022yUi6ASnPoYrFq1Spde+21CgsLk8lk0tKlS8/bZ8aMGWrVqpV8fHwUGxur1atX131QAADgEm7uEa5XR8bIYjbp4+SD+tvHWykXQCU5dLEoKChQdHS0pk+ffsHXFy9erEmTJunJJ5/Uli1bFB8fr4SEBGVkZFTsExsbq6ioqPMehw8frquPAQAAnMh1Mc30+i3dZDGbtGTLIU3+KEVl1nKjYwEOz8PoAJeSkJCghISEi77+yiuvaNy4cRo/frwk6dVXX9Xy5cs1c+ZMTZkyRZKUnJxcJ1mLi4tVXFxc8TwvL69O3hcAANS8v3RtKrNJeuCDLfo85bCs5Ta9OjJGHhaH/jdZwFBO+9tRUlKi5ORkDRky5JztQ4YM0bp16+o8z5QpUxQUFFTxCA8Pr/MMAACg5iR0aaoZt3WXp8Wkr7Yd0cQPt6iUMxfARTltscjJyZHValVoaOg520NDQ5WVlVXp4wwdOlQjRozQsmXL1Lx5c23atKlSr/2vxx9/XLm5uRWPzMzMqn8oAADgUIZ0bqJZt8fKy2LWsu1Zuv/9n1VSRrkALsShL4WqDJPJdM5zm8123rZLWb58ebVe+1/e3t7y9vau9P4AAMA5XNExVLNHxerud5O1fMdR3fvez3rztm7y9rAYHQ1wKE57xiIkJEQWi+W8sxPZ2dnnncUAAACwx6AOjTV3dJy8PMz6btdR3fPuzyoqtRodC3AoTlssvLy8FBsbqxUrVpyzfcWKFerbt69BqQAAgKsa0K6R5o/pIW8Ps37Yna2730mmXAB/4NDFIj8/XykpKUpJSZEkpaWlKSUlpWI62cmTJ+utt97S/PnztWvXLj300EPKyMhQYmKigakBAICr6tc2RG+P7SEfT7OSfj2mCYs2Uy6A35hsNpvDrvqycuVKDRo06LztY8aM0YIFCySdXSBv6tSpOnLkiKKiojRt2jT179+/jpOeLy8vT0FBQcrNzVVgYKDRcQAAQA36af9x3blgkwpLrOrbuqHmjekhXy/uuYDrqcp3WocuFs6MYgEAgGvbmHZCd7y9UQUlVvWODNb8sT3k5+X08+IA56jKd1qHvhQKAADAUfVsFaxF43qqnreHftp/QmPnb1JBcZnRsQDDUCwAAACqKbbF2XIR4O2hjekndMfblAu4L4oFAACAHbpHNNA743tVlIuz915QLuB+KBYAAAB2igmvX3FZ1Ia0s+XiTAmzRcG9UCwAAABqQLeIBlp45/+/52LcQsoF3AvFAgAAoIbEtmighXf2kL+XRev2Hdf4RZtY5wJug2IBAABQg2JbBGvBnT3l52XR2r3HWUQPboNiAQAAUMN6tAzWgjvOlovVe3J01zvJlAu4PIoFAABALejZ6uyieb6eFq369ZjuplzAxVEsAAAAaknvyIaaP7aHfDzNSvr1mO55N1nFZZQLuCaKBQAAQC3q07qh5o85Wy5+TD2me979mXIBl0SxAAAAqGV924Ro3pge8vYw64fd2brvvZ9VUlZudCygRlEsAAAA6sBlfygX3+3K1n3vUy7gWigWAAAAdaRf2xDNHR0nLw+zVuw8qgc++FmlVsoFXAPFAgAAoA71b9eoolws33FUDy1OURnlAi6AYgEAAFDHBrRrpJm3dZenxaSvth3RI59sU3m5zehYgF0oFgAAAAa4omOo3ri1uyxmk5ZsOaQnPttOuYBTo1gAAAAY5KqoJnp1ZIzMJunDTZl65ssdstkoF3BOFAsAAAADXRsdppduipbJJC1af0AvfL2LcgGnRLEAAAAw2I2xzfXi9V0kSW+tSdPL36ZSLuB0KBYAAAAO4NaeEXruus6SpDd/3Kc3fthrcCKgaigWAAAADmJ0n5b6+186SpJeWfGrZiXtMzgRUHkUCwAAAAcyPj5SfxvaXpL0r292a/6aNIMTAZVDsQAAAHAw9w1qo4lXtJUkPffVTr370wGDEwF/jmIBAADggB66sq3uHhApSfr70l/00eZMgxMBl0axAAAAcEAmk0mPXdVBd1zWUpL06Kfb9HnKIWNDAZdAsQAAAHBQJpNJT13TSbf1ipDNJk3+aKu+2X7E6FjABVEsAAAAHJjJZNLz10VpRGxzWcttmvjhFv2Ymm10LOA8FAsAAAAHZzab9K8bu+qark1VarUp8Z1k/bT/uNGxgHNQLAAAAJyAxWzStJExuqJDYxWXlWvcgk3aknHS6FhABYoFAACAk/C0mPXmbd3Vt3VDFZRYNfbtTdp1JM/oWIAkigUAAIBT8fG0aO7oOHWPqK/cM6UaNW+D9h3LNzoWQLEAAABwNv7eHnr7jp7qHBaonPwS3f7WBmWeKDQ6FtwcxQIAAMAJBfl6atGdPdWmcT0dyS3SbW9t0NG8IqNjwY1RLAAAAJxUw3reendcL0UE+ynjRKFuf2uDThSUGB0LbopiAQAA4MSaBPnovfG91CTQR3uy8zVq3gblnik1OhbcEMUCAADAyYUH++nd8b3U0N9LOw7n6c4Fm1RYUmZ0LLgZigUAAIALaNO4nt4Z10uBPh5KPnBSExZtVlGp1ehYcCMUCwAAABfRKSxQC+7sKX8vi9buPa773/9ZpdZyo2PBTVAsAAAAXEj3iAZ6a0wPeXuY9d2ubE3+aKus5TajY8ENUCwAAABcTJ/WDTXr9lh5Wkz6cuth/ePzX2SzUS5QuygWAAAALmhQh8aaNjJGJpP0/oYMvbQ81ehIcHEUCwAAABd1TdcwvXh9F0nSjJX7NDtpn8GJ4MooFgAAAC7s1p4ReiyhgyRpyje79eHGDIMTwVVRLAAAAFxc4oDWShzQWpL0xGfbtWz7EYMTwRVRLAAAANzAo1e11609w1Vukx78cItW7zlmdCS4GIoFAACAGzCZTPrn8C76S5emKrXadNeiZCUfOGl0LLgQigUAAICbsJhNmjYyRvFtQ3Sm1Ko7F2zS7qw8o2PBRVAsAAAA3IiXh1mzR8Wqe0R95Z4p1ah5G5VxvNDoWHABFAsAAAA34+flobfH9lSHJgE6drpYt837SUfzioyOBSdHsQAAAHBDQX6eWjSup1o09FPmiTMaPW+jThWWGB0LToxiAQAA4KYaB/jo3XG9FBrordSjpzX27U0qKC4zOhacFMUCAADAjYUH++mdcb1U389TKZmndPc7ySousxodC06IYgEAAODm2oUGaMEdPeXnZdGavTma9GGKrOU2o2PByVAsAAAAoJjw+po7Ok5eFrO++SVLT33+i2w2ygUqj2IBAAAASdJlbUL06i0xMpmk9zZk6NXv9hgdCU6EYgEAAIAKV3dpqueui5Ikvfb9Hr2zPt3YQHAaFAsAAACcY1TvFpp0ZVtJ0lNf7NBX2w4bnAjOgGIBAACA8zx4RVuN6t1CNpv00OIUrd2bY3QkODi3LxbXX3+9GjRooJtuuumCrxcWFqpFixZ6+OGH6zgZAACAcUwmk54Z1llXd2miUqtNdy3arO0Hc42OBQfm9sVi4sSJWrRo0UVff+GFF9SrV686TAQAAOAYLGaTpo2MUd/WDVVQYtXYtzcqLafA6FhwUG5fLAYNGqSAgIALvrZnzx7t3r1bV199dR2nAgAAcAzeHhbNHhWrqGaBOl5QolHzNuhoXpHRseCAHLpYrFq1Stdee63CwsJkMpm0dOnS8/aZMWOGWrVqJR8fH8XGxmr16tU19v4PP/ywpkyZUmPHAwAAcEYBPp5acEdPtWzop4Mnz2jM/I3KPVNqdCw4GIcuFgUFBYqOjtb06dMv+PrixYs1adIkPfnkk9qyZYvi4+OVkJCgjIyMin1iY2MVFRV13uPw4UvPbvD555+rXbt2ateuXY1+JgAAAGcUUs9b74zrpUYB3tqddVrjF25SUanV6FhwIB5GB7iUhIQEJSQkXPT1V155RePGjdP48eMlSa+++qqWL1+umTNnVpxpSE5OrtZ7//TTT/rwww/18ccfKz8/X6WlpQoMDNRTTz11wf2Li4tVXFxc8TwvL69a7wsAAOCowoP9tPCOnho5e702pZ/U/e9v0azbu8vD4tD/Vo064rR/CkpKSpScnKwhQ4acs33IkCFat26d3cefMmWKMjMzlZ6erpdfflkTJky4aKn4ff+goKCKR3h4uN0ZAAAAHE2nsEC9NSZOXh5mfbfrqJ74bLtsNpvRseAAnLZY5OTkyGq1KjQ09JztoaGhysrKqvRxhg4dqhEjRmjZsmVq3ry5Nm3aVK08jz/+uHJzcysemZmZ1ToOAACAo+sV2VDTb+0ms0n6aPNBTV2eanQkOACHvhSqMkwm0znPbTbbedsuZfny5X+6z9ixY/90H29vb3l7e1f6fQEAAJzZkM5N9OL1XfTYku2auXKfGgd4647LWhkdCwZy2jMWISEhslgs552dyM7OPu8sBgAAAGreLT0j9Leh7SVJz321U19vO2JwIhjJaYuFl5eXYmNjtWLFinO2r1ixQn379jUoFQAAgHu5d2BrjerdQjab9NDiFP20/7jRkWAQhy4W+fn5SklJUUpKiiQpLS1NKSkpFdPJTp48WW+99Zbmz5+vXbt26aGHHlJGRoYSExMNTA0AAOA+TCaTnhnWWUM7h6rEWq4JizZrdxazY7ojk82Bb+NfuXKlBg0adN72MWPGaMGCBZLOLpA3depUHTlyRFFRUZo2bZr69+9fx0nPl5eXp6CgIOXm5iowMNDoOAAAALWqqNSq29/aoM0HTqpJoI+W3NtXYfV9jY4FO1XlO61DFwtnRrEAAADu5lRhiW6atV57s/PVtnE9fZLYV0F+nkbHgh2q8p3WoS+FAgAAgPOo7+elhXf2VGigt/Zk52vCos2szu1GKBYAAACoMc3q+2rhnT0V4O2hjekn9NDiFFnLuUDGHVAsAAAAUKM6NAnUnNFx8rKY9c0vWXruyx2szu0GKBYAAACocX1aN9QrI6MlSQvXH9DMpH0GJ0Jto1gAAACgVlzTNUz/uKaTJGnqf1P1afJBgxOhNlEsAAAAUGvG9Wulu/pHSpIe/XSbkn49ZnAi1BaKBQAAAGrVY1d10HUxYSort+med5O1/WCu0ZFQCygWAAAAqFVms0kv3RSty9o0VGGJVXcs2KiM44VGx0INo1gAAACg1nl5mDXr9lh1ahqonPwSjXl7o04UlBgdCzWIYgEAAIA6EeDjqQV39FCz+r5KyylgAT0XQ7EAAABAnWkc6KOFd/ZQoI+Hkg+cZAE9F0KxAAAAQJ1q0zhAc/+wgN6Ly3YZHQk1gGIBAACAOtcrsqFeGtFVkjRvTZrmr0kzOBHsRbEAAACAIa6LaaZHr+ogSXr+65367y9ZBieCPSgWAAAAMEzigEjd1itCNpv04Idb9HPGSaMjoZooFgAAADCMyWTSs8M66/IOjVVcVq7xCzcrPafA6FioBooFAAAADOVhMeuNW7upS7MgnSgo0di3N+p4frHRsVBFFAsAAAAYzt/bQ/PGxql5A1+lHy/UeNa4cDoUCwAAADiExgE+WnBHDwX5empLxik9+OEW1rhwIhQLAAAAOIw2jQM0Z1SsvCxmLd9xVC98zRoXzoJiAQAAAIfSK7KhXr45WpI0f22a5rHGhVOgWAAAAMDhDIsO02MJZ9e4+OfXO/XN9iMGJ8KfoVgAAADAId3dP1K39z67xsWkxSlKPsAaF46MYgEAAACHZDKZ9My1nXVlx7NrXExYtFkZxwuNjoWLoFgAAADAYXlYzHrtlm6KahZ4do2LBRuVW1hqdCxcAMUCAAAADs3f20PzxvRQ0yAf7T9WoLvf3aySsnKjY+F/UCwAAADg8EIDfTR/bA/5e1n00/4TenzJdtlsrHHhSCgWAAAAcAodmwbqzdu6y2I26dOfD2r6D3uNjoQ/oFgAAADAaQxs31jPDOssSfrPil/1ecohgxPhdxQLAAAAOJVRvVtoQnwrSdLfPt6mTeknDE4EiWIBAAAAJ/R4QkcN7RyqEmu57lq0Wek5BUZHcnsUCwAAADgds9mkV0d2U3TzIJ0sLNUdCzbpZEGJ0bHcGsUCAAAATsnXy6K5Y+LUrL6v0nIKdPe7ySousxody21RLAAAAOC0GgecnYY2wNtDG9NO6LFPmYbWKBQLAAAAOLX2TQI04/az09B+tuWQXv+eaWiNQLEAAACA04tv20j/HB4lSZr23a/6bMtBgxO5H4oFAAAAXMKtPSOUOKC1JOnRT7Zrw/7jBidyLxQLAAAAuIxHhrbX1V2aqMRarrvfTVYa09DWGYoFAAAAXIbZbNIrN8coJry+ThWWatyCTcotLDU6llugWAAAAMCl+HhaNGd0rMKCfLQ/p0D3vp+sUmu50bFcHsUCAAAALqdxgI/mje0hfy+L1u49rqc+38E0tLWMYgEAAACX1LFpoF6/tZtMJumDjRmavzbd6EgujWIBAAAAl3VFx1A9eXVHSdI/v96p73cdNTiR66JYAAAAwKWN69dKt/YMl80mTfxgi3YdyTM6kkuiWAAAAMClmUwmPXddlPq2bqiCEqvGL9ysY6eLjY7lcigWAAAAcHmeFrNm3haryBB/HTp1Rne9s1lFpVajY7kUigUAAADcQpCfp+aN7aEgX09tyTilv32yjZmiahDFAgAAAG6jVYi/Zt0eKw+zSV9uPazXvt9jdCSXQbEAAACAW+nTuqH+OTxKkvTqd3v0xdbDBidyDRQLAAAAuJ1bekborv6RkqSHP96qnzNOGpzI+VEsAAAA4JYevaqDruwYqpKyct21aLMOniw0OpJTo1gAAADALVnMJr12S4w6Ng1UTn6Jxi/crPziMqNjOS2KBQAAANyWv7eH5o2JU6MAb+3OOq0HP9giazkzRVUHxQIAAABuLay+r+aOjpO3h1nf787WS8tTjY7klCgWAAAAcHsx4fU19aaukqRZSfu05OeDBidyPhQLAAAAQNJ1Mc1036DWkqTHPt3OTFFVRLEAAAAAfvPXwe01uFOoSqzlumtRsg6fOmN0JKdBsQAAAAB+Yzab9OrIGHVoEqCc/GJNWLRZhSXMFFUZFAsAAADgD/y9PfTWmDg19PfSjsN5+tvH22SzMVPUn3H7YnH99derQYMGuummm87ZnpqaqpiYmIqHr6+vli5dakxIAAAA1KnmDfw0a1SsPC0mfb39iF7/fq/RkRye2xeLiRMnatGiRedtb9++vVJSUpSSkqI1a9bI399fgwcPNiAhAAAAjNCjZbD+OTxKkjTtu1+1bPsRgxM5NrcvFoMGDVJAQMAl9/niiy90xRVXyN/fv45SAQAAwBGM7BGhcf1aSZImf5SiXw7lGpzIcTl0sVi1apWuvfZahYWFyWQyXfBSpBkzZqhVq1by8fFRbGysVq9eXeM5PvroI40cObLGjwsAAADH93hCBw1o10hFpeWasGizsk8XGR3JITl0sSgoKFB0dLSmT59+wdcXL16sSZMm6cknn9SWLVsUHx+vhIQEZWRkVOwTGxurqKio8x6HDx+uVIa8vDytXbtWV199dY18JgAAADgXD4tZb/xfN7Vu5K8juUW6+51kFZVajY7lcDyMDnApCQkJSkhIuOjrr7zyisaNG6fx48dLkl599VUtX75cM2fO1JQpUyRJycnJdmX4/PPPNXToUPn4+Fxyv+LiYhUXF1c8z8vLs+t9AQAA4DgCfTz11pgeGv7mWm3JOKUnPtuu/4yIlslkMjqaw3DoMxaXUlJSouTkZA0ZMuSc7UOGDNG6detq7H0qexnUlClTFBQUVPEIDw+vsQwAAAAwXqsQf735f91lMZu05OdDmrNqv9GRHIrTFoucnBxZrVaFhoaesz00NFRZWVmVPs7QoUM1YsQILVu2TM2bN9emTZsqXsvNzdXGjRs1dOjQPz3O448/rtzc3IpHZmZm5T8MAAAAnEK/tiF6+tpOkqR//Xe3vt911OBEjsOhL4WqjP89/WSz2ap0Smr58uUXfS0oKEhHj1buD4u3t7e8vb0r/b4AAABwTqN6t1Bq1mm9tyFDD36YoiX39lW70EvPMuoOnPaMRUhIiCwWy3lnJ7Kzs887iwEAAADUFJPJpGeGdVbvyGDlF5dpwqLNOlVYYnQswzltsfDy8lJsbKxWrFhxzvYVK1aob9++BqUCAACAO/C0mDXjtlg1q++rA8cL9cAHW1RmLTc6lqEculjk5+dXrH4tSWlpaUpJSamYTnby5Ml66623NH/+fO3atUsPPfSQMjIylJiYaGBqAAAAuINgfy/NHR0nX0+LVu/J0b//u9voSIZy6HssNm/erEGDBlU8nzx5siRpzJgxWrBggUaOHKnjx4/rueee05EjRxQVFaVly5apRYsWRkUGAACAG+kUFqiXR0Trvvd/1tzVaerYNFA3dG9udCxDmGw2m83oEK4oLy9PQUFBys3NVWBgoNFxAAAAUIv+822q3vhhr7w8zPr47j6KDq9vdKQaUZXvtA59KRQAAADgDB66sp2u7NhYJWXluuudzcrOKzI6Up2jWAAAAAB2MptNmjYyRm0a19PRvGIlvpus4jKr0bHqFMUCAAAAqAEBPp6aOzpOgT4e+jnjlJ5aukPudNcBxQIAAACoIa1C/PXG/3WX2SQt3pypResPGB2pzlAsAAAAgBo0oF0jPZ7QUZL03Fc7tW5fjsGJ6gbFAgAAAKhh4+Nb6fpuzWQtt+m+935W5olCoyPVOooFAAAAUMNMJpOm3NBFXZsH6WRhqSYs2qyC4jKjY9UqigUAAABQC3w8LZo9KlYh9by1O+u0/vbJVpe+mZtiAQAAANSSpkG+mnV7d3laTFq2PUtv/rjX6Ei1hmIBAAAA1KK4lsF67rooSdLL3/6qFTuPGpyodlAsAAAAgFp2a88Ije7TQpL00OIU7c3ONzhRzaNYAAAAAHXgH9d0Us9WwcovLtNd72xWXlGp0ZFqFMUCAAAAqAOeFrNm3NZdTYN8tP9YgSYv3qrycte5mZtiAQAAANSRkHremnV7rLw8zPpu11G98YPr3MxNsQAAAADqUHR4fb0w/OzN3NO++1XfucjN3BQLAAAAoI6NiAs/52bufcec/2ZuigUAAABggL//pZN6tGyg08VlumvRZp128pu5KRYAAACAAbw8zJpxW6yaBPpo37EC/fUj576Zm2IBAAAAGKRRgLdm3t5dXhazvt151KlX5qZYAAAAAAbqFtFAzw/vLEl65btf9cNu57yZm2IBAAAAGGxkjwjd1itCNpv04IcpSsspMDpSlVEsAAAAAAfw9LWdFduigU4Xnb2ZO7+4zOhIVUKxAAAAAByAl4dZM2/rrsYB3tqTna+/fbxVNpvz3MxNsQAAAAAcRONAH828PVaeFpO++SVLM1buMzpSpVEsAAAAAAcS26KBnh12dmXul79N1crUbIMTVQ7FAgAAAHAw/9crQrf2PHsz98QPtujAcce/mZtiAQAAADigZ4Z1UreI+sorKtOzX+40Os6folgAAAAADsjbw6JZt8fq2ugwvTwi2ug4f8rD6AAAAAAALiw00Edv3NrN6BiVwhkLAAAAAHajWAAAAACwG8UCAAAAgN0oFgAAAADsRrEAAAAAYDeKBQAAAAC7USwAAAAA2I1iAQAAAMBuFAsAAAAAdqNYAAAAALAbxQIAAACA3SgWAAAAAOxGsQAAAABgN4oFAAAAALtRLAAAAADYjWIBAAAAwG4UCwAAAAB2o1gAAAAAsBvFAgAAAIDdKBYAAAAA7OZhdABXZbPZJEl5eXkGJwEAAACq5/fvsr9/t70UikUtOX36tCQpPDzc4CQAAACAfU6fPq2goKBL7mOyVaZ+oMrKy8t1+PBhBQQEyGQyXXCfHj16aNOmTVV67ULb/3dbXl6ewsPDlZmZqcDAQDs+RfVd6rPV9nGq8jN/ti9jVDvHYYwqhzFijGrq5+pqjP53O2PEGFVGTY1RdY/FGF2azWbT6dOnFRYWJrP50ndRcMailpjNZjVv3vyS+1gslov+AbnYaxfafrF9AwMDDftL4lKfrbaPU5Wf+bN9GaPaOQ5jVDmMEWNUUz9XV2N0se2MEWN0KTU1RtU9FmP05/7sTMXvuHnbQPfdd1+VX7vQ9ksdxyg1lak6x6nKz/zZvoxR7RyHMaocxqj6meqKkWNUlZ+rqzGqSqa6whhVP1Ndqck8tfn3nTuPUWVxKZQLysvLU1BQkHJzcw1rtrg0xsjxMUaOjzFyfIyR42OMHJ8zjRFnLFyQt7e3nn76aXl7exsdBRfBGDk+xsjxMUaOjzFyfIyR43OmMeKMBQAAAAC7ccYCAAAAgN0oFgAAAADsRrEAAAAAYDeKBQAAAAC7USzcTGZmpgYOHKhOnTqpa9eu+vjjj42OhP9x+vRp9ejRQzExMerSpYvmzp1rdCRcRGFhoVq0aKGHH37Y6Ci4AA8PD8XExCgmJkbjx483Og4uIC0tTYMGDVKnTp3UpUsXFRQUGB0Jf5CamlrxOxQTEyNfX18tXbrU6Fj4H9OmTVPnzp3VqVMnTZw4UUbOy8SsUG7myJEjOnr0qGJiYpSdna3u3bsrNTVV/v7+RkfDb6xWq4qLi+Xn56fCwkJFRUVp06ZNatiwodHR8D+efPJJ7dmzRxEREXr55ZeNjoP/ERISopycHKNj4BIGDBigf/7zn4qPj9eJEycUGBgoDw8Po2PhAvLz89WyZUsdOHCA7wwO5NixY+rdu7d27NghT09P9e/fXy+//LL69OljSB7OWLiZpk2bKiYmRpLUuHFjBQcH68SJE8aGwjksFov8/PwkSUVFRbJarYb+6wMubM+ePdq9e7euvvpqo6MATun3L0Lx8fGSpODgYEqFA/viiy90xRVXUCocUFlZmYqKilRaWqrS0lI1btzYsCwUCyezatUqXXvttQoLC5PJZLrgKckZM2aoVatW8vHxUWxsrFavXn3BY23evFnl5eUKDw+v5dTupSbG6NSpU4qOjlbz5s31yCOPKCQkpI7Su4eaGKOHH35YU6ZMqaPE7qcmxigvL0+xsbHq16+fkpKS6ii5+7B3jPbs2aN69epp2LBh6t69u1588cU6TO8eavI7w0cffaSRI0fWcmL3Y+8YNWrUSA8//LAiIiIUFhamK6+8Uq1bt67DT3AuioWTKSgoUHR0tKZPn37B1xcvXqxJkybpySef1JYtWxQfH6+EhARlZGScs9/x48c1evRozZkzpy5iu5WaGKP69etr69atSktL0/vvv6+jR4/WVXy3YO8Yff7552rXrp3atWtXl7HdSk38HqWnpys5OVmzZs3S6NGjlZeXV1fx3YK9Y1RaWqrVq1frzTff1Pr167VixQqtWLGiLj+Cy6up7wx5eXlau3YtZ2hrgb1jdPLkSX311VdKT0/XoUOHtG7dOq1ataouP8K5bHBakmyfffbZOdt69uxpS0xMPGdbhw4dbI899ljF86KiIlt8fLxt0aJFdRHTrVV3jP4oMTHR9tFHH9VWRLdXnTF67LHHbM2bN7e1aNHC1rBhQ1tgYKDt2WefravIbqcmfo+uuuoq26ZNm2oroturzhitW7fONnTo0IrXpk6daps6dWqtZ3VX9vweLVq0yHbbbbfVdkS3V50x+uijj2z33ntvxWtTp061/fvf/671rBfDGQsXUlJSouTkZA0ZMuSc7UOGDNG6deskSTabTWPHjtXll1+uUaNGGRHTrVVmjI4ePVrxL6t5eXlatWqV2rdvX+dZ3VVlxmjKlCnKzMxUenq6Xn75ZU2YMEFPPfWUEXHdUmXG6OTJkyouLpYkHTx4UDt37lRkZGSdZ3VXlRmjHj166OjRozp58qTKy8u1atUqdezY0Yi4bqkyY/Q7LoMyRmXGKDw8XOvWrau4J3PlypWGfmfgLikXkpOTI6vVqtDQ0HO2h4aGKisrS5K0du1aLV68WF27dq24ju+dd95Rly5d6jquW6rMGB08eFDjxo2TzWaTzWbT/fffr65duxoR1y1VZoxgrMqM0a5du3T33XfLbDbLZDLptddeU3BwsBFx3VJlxsjDw0Mvvvii+vfvL5vNpiFDhuiaa64xIq5bquzfdbm5udq4caM+/fTTuo7o9iozRr1799bVV1+tbt26yWw264orrtCwYcOMiCuJYuGSTCbTOc9tNlvFtn79+qm8vNyIWPiDS41RbGysUlJSDEiFP7rUGP3R2LFj6ygR/telxqhv377avn27EbHwB3/2e5SQkKCEhIS6joU/+LMxCgoK4j4/g/3ZGL3wwgt64YUX6jrWBXEplAsJCQmRxWI5719Vs7Ozz2u7MAZj5PgYI8fHGDk+xsjxMUaOzxnHiGLhQry8vBQbG3verBorVqxQ3759DUqFP2KMHB9j5PgYI8fHGDk+xsjxOeMYcSmUk8nPz9fevXsrnqelpSklJUXBwcGKiIjQ5MmTNWrUKMXFxalPnz6aM2eOMjIylJiYaGBq98IYOT7GyPExRo6PMXJ8jJHjc7kxMmg2KlTTjz/+aJN03mPMmDEV+7z55pu2Fi1a2Ly8vGzdu3e3JSUlGRfYDTFGjo8xcnyMkeNjjBwfY+T4XG2MTDabzVbL3QUAAACAi+MeCwAAAAB2o1gAAAAAsBvFAgAAAIDdKBYAAAAA7EaxAAAAAGA3igUAAAAAu1EsAAAAANiNYgEAAADAbhQLAAAAAHajWAAAAACwG8UCAAAAgN0oFgAAp9CuXTv16dNHZ86cqdhms9nUu3dvPfLIIwYmAwBIFAsAgJNYvHixtmzZorVr11Zse++995SWlqa///3vBiYDAEgUCwCAk+jWrZuio6O1e/duSVJhYaEef/xxPf/88woMDDQ4HQCAYgEAcBrt2rVTamqqJGnq1KkKDg7WuHHjDE4FAJAkD6MDAABQWe3bt9eqVat08OBBvfTSS/ryyy9lsViMjgUAEGcsAABO5PczFo899pgGDx6syy+/3OhIAIDfmGw2m83oEAAAVEZKSoq6d+8uLy8v/fLLL2rTpo3RkQAAv+GMBQDAabRr106SdP/991MqAMDBUCwAAE6jqKhINptNo0ePNjoKAOB/UCwAAE5j69at8vLyUseOHY2OAgD4HxQLAIDT2Lp1qzp16iRPT0+jowAA/gc3bwMAAACwG2csAAAAANiNYgEAAADAbhQLAAAAAHajWAAAAACwG8UCAAAAgN0oFgAAAADsRrEAAAAAYDeKBQAAAAC7USwAAAAA2I1iAQAAAMBuFAsAAAAAdvt/bmC2fb4cNTAAAAAASUVORK5CYII=",
      "text/plain": [
       "<Figure size 800x600 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "p=my_jet.electron_distribution.plot()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 800x600 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "p=my_jet.electron_distribution.plot(energy_unit='TeV')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 800x600 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "p=my_jet.electron_distribution.plot3p()\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {},
   "outputs": [],
   "source": [
    "my_jet.eval()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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r1jF27FgWLFjwyPK4uDgaNmxI//796dGjxz9u48MPP+Sjjz56bPnOnTvx9vZ+6iySPthsNiIjI/Hz88NsTtUHJEoap7EmzqTxJs6isSbOpPEmzqKxljpER0cTEhLCnTt38PHxMTpOhpeqj5T6J/Hx8ezevZthw4Y9srxRo0Zs2bIl2du32+307t2bevXq/WshBTB8+HAGDx788HZUVBT58+enSJEiGugZkNVq5eTJkxQtWhSLxWJ0HEnHNNbEmTTexFk01sSZNN7EWTTWUof/nNUkqUOaLaVu3LiB1WolV65cjyzPlSsXV69efertNG7cmD179hATE0O+fPlYtGgRISEhbN68mblz5xIUFPRwLquZM2dSpkyZJ27H3d0dd3f3x5ZbLBb9wcmgzGaz/v3FKTTWxJk03sRZNNbEmTTexFk01oyn333qkmZLqf8wmUyP3Lbb7Y8t+yerVq164vIaNWpgs9mSlU1ERERERERERJ4szZ7Imj17diwWy2NHRUVERDx29JSIiIiIiIiIiKQuabaUcnNzIzg4mNWrVz+yfPXq1VSrVs2gVBAWFkZgYCAhISGGZRARERERERERSe1S9el70dHRnDx58uHtM2fOsG/fPvz8/AgICGDw4MH06NGDihUrUrVqVSZNmsT58+cZMGCAYZlDQ0MJDQ0lKioKX19fw3KIiIiIiIiIiKRmqbqU2rVrF3Xr1n14+z9Xt+vVqxfTpk2jU6dO3Lx5k48//pgrV65QunRpVqxYQYECBYyKLCIiIiIiIiIiTyFVl1J16tTBbrf/4zoDBw5k4MCBTkokIiIiIiIiIiKOkGbnlBIRERERERERkbRLpZSIiIiIiIiIiDidSikH09X3RERERERERET+nUopBwsNDSU8PJydO3caHUVEREREREREJNVSKSUiIiIiIiIiIk6nUkpERERERERERJxOpZSIiIiIiIiIiDidSikREREREREREXE6lVIiIiIiIiIiIuJ0KqUcLCwsjMDAQEJCQoyOIiIiIiIiIiKSaqmUcrDQ0FDCw8PZuXOn0VFERERERERERFItlVIiIiIiIiIiIuJ0KqVERERERERERMTpVEqJiIiIiIiIiIjTqZQSERERERERERGnUyklIiIiIiIiIiJOp1LKwcLCwggMDCQkJMToKCIiIiIiIiIiqZZKKQcLDQ0lPDycnTt3Gh1FRERERERERCTVUiklIiIiIiIiIiJOp1JKREREREREREScTqWUiIiIiIiIiIg4nUopERERERERERFxOpVSIiIiIiIiIiLidCqlRERERERERETE6VRKiYiIiIiIiIiI06mUcrCwsDACAwMJCQkxOoqIiIiIiIiISKqlUsrBQkNDCQ8PZ+fOnUZHERERERERERFJtVRKiYiIiIiIiIiI06mUEhERERERERERp1MpJSIiIiIiIiIiTqdSSkREREREREREnE6llIiIiIiIiIiIOJ1KKRERERERERERcTqVUiIiIiIiIiIi4nQqpURERERERERExOlUSomIiIiIiIiIiNOplHKwsLAwAgMDCQkJMTqKiIiIiIiIiEiqpVLKwUJDQwkPD2fnzp1GRxERERERERERSbVUSomIiIiIiIiIiNOplBIREREREREREadTKSUiIiIiIiIiIk6nUkpERERERERERJxOpZSIiIiIiIiIiDidSikREREREREREXE6lVIiIiIiIiIiIuJ0KqVERERERERERMTpVEqJiIiIiIiIiIjTqZQSERERERERERGnUyklIiIiIiIiIiJOp1JKREREREREREScTqWUiIiIiIiIiIg4nUopBwsLCyMwMJCQkBCjo4iIiIiIiIiIpFoqpRwsNDSU8PBwdu7caXQUEREREREREZFUS6WUiIiIiIiIiIg4nUopERERERERERFxOpVSIiIiIiIiIiLidCqlRERERERERETE6VRKiYiIiIiIiIiI06mUEhERERERERERp1MpJSIiIiIiIiIiTqdSSkREREREREREnE6llIiIiIiIiIiIOJ1KKRERERERERERcTqVUiIiIiIiIiIi4nQqpURERERERERExOlUSomIiIiIiIiIiNOplBIREREREREREadTKSUiIiIiIiIiIk6nUkpERERERERERJxOpZSIiIiIiIiIiDidSikHCwsLIzAwkJCQEKOjiIiIiIiIiIikWiqlHCw0NJTw8HB27txpdBQRERERERERkVRLpZSIiIiIiIiIiDidSikREREREREREXE6lVIiIiIiIiIiIuJ0KqVERERERERERMTpVEqJiIiIiIiIiIjTqZQSERERERERERGnUyklIiIiIiIiIiJOp1JKREREREREREScTqWUiIiIiIiIiIg4nUopERERERERERFxOpVSIiIiIiIiIiLidCqlRERERERERETE6VRKiYiIiIiIiIiI06mUEhERERERERERp1MpJSIiIiIiIiIiTqdSSkREREREREREnE6llIiIiIiIiIiIOJ1KKRERERERERERcTqVUiIiIiIiIiIi4nQqpURERERERERExOlUSomIiIiIiIiIiNO5GB1AREREREQkzbPZsMfe5NS1vURGnSfy7iVuxlwj8v5NOnvkJ4erN+virnPBZCWLZ3ayZspF1sx5yJ21GH5ZC4NbJjCZjH4WIiJOpVJKRERERETkacRGcvnUav44t5rTd89yOf4OkbZ4/BITmHz5Cia7ja4F8nHP/OCEFDe7HT8btIo9AVYbO90TmO9u4p75/5dP/W7f4bVbd9jt5c3Q7FnJarKQ3exBGZ/ChBSoS6UyPcDV06hnLCKSolRKiYiIiIiI/A+7zcbZ8xvYd3I5+67vo3TUDTpcOc1lD3fG5cpJYVzI65qZwh45ye+ZE8rXhEw5mGqNJbNPXvyyFiFTplyYzP9/xpS3/u/nXmwkd+6c41bUeXwTE8AGOW6fpu2NvdyKv8PVuFv8fPsg66/vYd6K97EXrMninPmoXLo7efJUNOx3IiLiaCqlREREREQkw7t/7xbmiEN4Xt7LwrMr+S7hErfMJkx2O8XsFp7LVhyqDKNCvmC2ZSmI2fLkj1KlnmJfnl5+eHr54Z+7/MNlAUDof61jsyZy69JOuLiLi8eX8fHlP0m8soaiVhM1fYtSs0gLgkt3w+zinqznLSJiJJVSIiIiIiKSIV2POMyavRP569IWdpvvM/xmJO3vQ0C+UnTKUoby+WoQ9FwbvDPnefgYZ10pymxxIVtAVQioSv5qr7Ih6hJb909lw4V1LIk6zordo1n9+4dQtB5rcxYiuFwffHzzOymdiIhjqJQSEREREZGMI+YGhC/hh8NTmMwdzEA53BiUoyqVa3aEgnWpaHEhtZ0kl9knL41qvkcj3sNmTeTa2bWYLuzm1vHfeT1mF56n59PJpwQ9an9G9uzPGR1XROSpZPhSqk2bNqxbt4769euzYMGCh8vv3r1LvXr1SEhIwGq1MmjQIPr3729gUhEREREReRZ37pznr11jWXlxHd2uXaDWvTiqFAohf55q1K7wMhER8RQrVgyLxWJ01KditriQu0hDKNKQrHWGsfraIWZv+oC5UceYtaw9nT0L8lajMMhawOioIiL/KMOXUoMGDaJPnz5Mnz79keVeXl6sX78eLy8vYmNjKV26NG3btiVbtmwGJRURERERkacWd5fNO8fy8+mlbLbdxQpUxAO3kBeh0qtUypQdAKvVSkTECWOzJlPOXKV5o92v9L1znl/Wvcv9izvgh/LcD+rI9Yq9yJ+/qtERRUSeKMOXUnXr1mXdunWPLbdYLHh5eQFw//59rFYrdrvdyelERERERORp2W029h2aQ/ZjK8l/bDUnvVy5nTUnQ/xr0rBCKDlzlTY6Yory8Q3gxVYzIT4Gdk9n4e4fGH1nE63c89C/1qfkzVvJ6IgiIo9w1jx9z2TDhg20bNmSPHnyYDKZWLx48WPrjBs3jkKFCuHh4UFwcDAbN2502P5v375N2bJlyZcvH0OHDiV79uwO27aIiIiIiDhG3P07LPrzLTpML0/PvV+yOPIA1BlGzxc2M+uFPXRrOj7dF1KPcMsEVQfSps8WXs9RjbX3L9NidR8+/qUJV6/sNTqdiMhDqfpIqZiYGMqWLcsLL7xAu3btHrt/7ty5vP7664wbN47q1aszceJEmjZtSnh4OAEBAQAEBwcTFxf32GP/+OMP8uTJ89jy/5YlSxb279/PtWvXaNu2Le3btydXrlyOeXIiIiIiIpI8d6+yfsPHjIjYQKTZRC2LN4NLdqdKhZfA4oLJ6HwG8/Tyo1fzSXSIvcHcNUOZemMHNWa3xL9kZ+w13sDkm9foiCKSwaXqUqpp06Y0bdr0b+//5ptv6Nu3L/369QPgu+++Y9WqVYwfP56RI0cCsHv37mTnyJUrF0FBQWzYsIEOHTo8cZ24uLhHyq+oqCjgwTnqVqs12RkkbbFardhsNv3bS4rTWBNn0ngTZ9FYk38TfmwxUQfnUu3YX+R396BRwbJ0qfQWBQJqAmCHpx4/GWG8ubtnpWezH2kfcw2vPbOxbxvLm+eXUrt4W1rU+czoeBlGRhhraYF+/6lLqi6l/kl8fDy7d+9m2LBhjyxv1KgRW7ZsSfb2r127hqenJz4+PkRFRbFhwwZefvnlv11/5MiRfPTRR48tP3XqFN7e3snOI2mLzWYjMjKSkydPYjan6rNkJY3TWBNn0ngTZ9FYkyexWuM5eGoGy26sYb8lkUpxNooGDSSxcEvauWUmPg5OnEj6hOUZbrz5t4RmtXHZO4T3Li5n66ytdC0/Gjc3H6OTpXsZbqylUtHR0UZHkP+SZkupGzduYLVaHzudLleuXFy9evWpt9O4cWP27NlDTEwM+fLlY9GiRYSEhHDx4kX69u2L3W7HbrfzyiuvEBQU9LfbGT58OIMHD354Oyoqivz581OkSBF8fPQHPqOxWq2cPHmSokWLpplLC0vapLEmzqTxJs6isSaPiI/h0vYf6H96LpctEGx245vCXahd6XUsLu4kd9bXjDreRpZaS5W1wxh54XdO7OrP6LrfUSCgltGx0rWMOtZSm/+c1SSpQ5otpf7DZHr0THG73f7Ysn+yatWqJy4PDg5m3759T70dd3d33N3dH1tusVj0ByeDMpvN+vcXp9BYE2fSeBNn0ViT2NgbbNv4OfX2LyHv/dvULxpMiwovE/hcG4fvK6OOt7YNRlP6RF3e3Pg2a37rT//6o6GU43+/8v9l1LGWmuh3n7qk2VIqe/bsWCyWx46KioiI0GTkIiIiIiJpVNz9OyxYO4wfr2wkygwrSzQkZ+13GJolwOho6VLxYs2YmzsYjxVvw/zebD6xhJCmY3Bzz2x0NBHJANLsiaxubm4EBwezevXqR5avXr2aatWqGZRKRERERESeiTWBxX8OocWc6oy6tpGaHv4sbTCZnK0mgAqpFOXlnQtzh6ncaPQxr9/aRc85Nbl0aYfRsUQkA0jVR0pFR0dz8uTJh7fPnDnDvn378PPzIyAggMGDB9OjRw8qVqxI1apVmTRpEufPn2fAgAGGZQ4LCyMsLEwz+ouIiIiIPAVrYjy2QwtwXT+KI6bblPMrwMAaH1GoYB2jo2UsJhPZq73GtKz5eHPrh3T8ow8jA/tSq/IbRicTkXQsVZdSu3btom7dug9v/2ci8V69ejFt2jQ6derEzZs3+fjjj7ly5QqlS5dmxYoVFChQwKjIhIaGEhoaSlRUFL6+voblEBERERFJzWzWRNZsHUXY8V9oezuSnrlr8nad4Zhz//3FhSTllSrZjrl5Qnh3SSdCj07hi4jDNG8+Ecyah0dEHC9Vl1J16tTBbrf/4zoDBw5k4MCBTkokIiIiIiLJYbfZ2LhzDGPDp3LEbKWaxZPgJt9BYPu0O7dIOuPrG8AP3Tbyy+8DqLF3IUTHQNsfwd3b6Ggiks7o776IiIiIiDjH1YNsm96Q0KOT8TRZmFr2TSb22kGpwPZGJ5P/Yba40LXFZHw7/cyl85t5cXZNrl7dZ3QsEUlnVEqJiIiIiEiKiow8ybz57WFiLarE3GF6qVCm9dxJxXK9jY4m/6Z4Y+63n8xZEui7ogfXIw4bnUhE0hGVUiIiIiIikiISEmKZueIlWixpzXfRR4mo/y6ml7dSoeIATGZ9FEkrihRpxJRGk7mPnf7LuhAZefLfHyQi8hT0SuBgYWFhBAYGEhISYnQUERERERHDbNk5lnYzq/BVxGaaeuZjWavF5KwxBCyuRkeTZ5AvXxUm1xvLLZONQYvbY4+9ZXQkEUkHVEo5WGhoKOHh4ezcudPoKCIiIiIiznfjJMzpxM4to8hmdmNetZG833klfn5FjU4myVSoYB0m1fiSV25HYZrTAeLuGh1JRNK4VH31PRERERERSRui715hwqqXyXJxL/3sPgxs8C0updroNL10pkSx5tDJH+v0Vsz6uTkdOy3B0zOr0bFEJI3SK4SIiIiIiDwzu83G6k2f02p+Q+bdPYlL4brwyg5cy7RTIZVe5Q3mbOvvCbNH8sa8psTriCkReUZ6lRARERERkWdy7+ZJBs2qweBTPxPokpkljafR+/lp4OppdDRJYUUC2/F90CvstEfz9rymJCbcNzqSiKRBKqVERERERCRJbNYE2DYej4m1yRZ7m2+LdOaH7pvJnaei0dHEiaoGD+Cb515gnfU2781rijUx3uhIIpLGqJRyMF19T0RERETSs/BjS+gyoxJ/bfgIU1AnPuy9lQY13tWpehlU7Spv8kWRTrjeOod9+WCw242OJCJpiCY6d7DQ0FBCQ0OJiorC19fX6DgiIiIiIg4RG3OdsN/7Myv6JEXtFnI2/x5KdTI6lqQCjWu+T+PMRWDxy5w3m8jf/HuVlCLyVFRKiYhIume324mMjeZWDJy/FcWaCyu5G3+XmPhYYhMf/BSxdCQ+wY0T8Qu4ywnMJgtmLJhNLuRxqUFe10rEcI5ziX/ganLDzeJGFvcsBPgE0DCgMTl9PHB3j8XfOxtmk96Ii0j6cnr/LAbs/pJbJjuvZa9IjybjcHX1MjqWpCblunI15irtjv9En6U9eLn1bKMTiUgaoFJKRETSPJvNxqGI85y/eZ/Y2Ezsv36QPbeWcSfhBrG2m1hNt0i8n4d7514GrHg/9wPYXTDZ3DHjjhkPrHE3yeKWHTdXH9zxxWq3YsNKoi2ByLj7xCXGcJeb3HQ7j40EbPYErKZoNl3OwuSVvoAd7xLvYzLZMNt8cDf5ksnFj+pZ+hGYsyC+PlE8l9OPwn65MZlMRv/KRESeStztC7ivHkHe8IVUK1iKvnVHkz+gutGxJJXyrz6Yfjf2Mvb2PvKtfY+WdT81OpKIpHIqpUREJE1JtNo4fSOGpcfWsu3qFi7FnCLafg4s94iLaEL8zTr4ZTuPOdslvC3Z8PcqTE6vXBTJUojaTaqS29cDv0xNyOTu9jd7qPwPe68GvPDwlt1uJ+p+PDeiE7hyJ5aNF9/lcvRVImJvEHn/BtEJkaw7dos5W+7ilmcmrj6HwZqJTKa8+HsWorp/I+oXDiEwd2Y8XPWSLCKph81mZcGaIYRd+IOpt+5TuPUkPgzqCCrV5V+82HI6F39pxIhzi/HfV5iQcn2MjiQiqZjeAYuISKqVaLXyx8m9rDq1heO3jhMRd5roix2Ii82Je84VePgeI4tLQSpkbk25XIHUaxhMyZx5cXMxAy+neD6TyYSvpzu+nu4UyeFNjaLtn7heXKKV7eeLsfnCfo7cOMb56NOcjdnH4a1ZCFuZgEfWPXjmXENuj+JUyFmBZsWqUjlfaSxmS4o/BxGR/3Xlyl5G/PES27hHW4/cZOs7GbIUNDqWpBEms5kRHZZyZU5tPt79FYsL1MOStaDRsUQklVIpJSIiqcrey2c4dtHCppM32BAzHLvbZew2F9xtecjpXoQuNYpSo2AgJfwbkNXL3ei4T8XdxUKtwsWpVbj4I8vjEq0cu3qXFcdcWX/5Lpejj3I+bgJLLobhdr8Cdf0GUy7AC98sV2lQuCKerp4GPQMRyRDsdrZsGsmbJ+eQyQ4TywygWsgrRqeSNMjV1YuvW//K/anNsfzaH15YARZXo2OJSCqkUkpERAx14fYNfj74FxsvbuH8vf3YLDeIOfEeQbnzUStfVyrmy0vbUtXx8Uh/hYy7i4WgfFkIyteIYTQC4Pyt2yw5sp0TV+8TfiGKxUf/wjNgCu9sdcXftQz1A+rRq1wzcmfOYXB6EUlP7HcjMK0YTOHjK2hWuDyvNZ+CT5YCRseSNMzXNwDfdlO4Pb0pG5f1p2WraUZHEpFUSKWUg4WFhREWFobVajU6iohIqnXg8kU2H49jVfglTnoMxmSJw5yYkwJe5amVvzo92zYiZ+bMQMabTDcgaxZerdb44e1bsSEsP1qFFSfXE35nK7NOfc3s8PnU8fmEBiVzUDhPLKVzFNPk6SLyzFZu+ozJR+cwJTIW/7ZTeL9Ua6MjSXqRP4Tfy7fj8xtbyLLjB2pWGmR0IhFJZVRKOVhoaCihoaFERUXh6+trdBwRkVRjy7kj/LRvCXtvrifedI3EMx9Qp1g+KuZ9h6bFyxGcr7DREVOlrF4edK9Qle4VqmK329l+7jy/HznBrhPRvHFsO5kKheFuz0VZv+p0Kd2UugVDNBeViDyVO7fP89nyXvyeeIOGblmw9V0M2YoZHUvSmU5Nwtg4uwbvHp7E/AJ1yJUryOhIIpKKqJQSEZEUcyEylsX7zzH1zJskWC5gt7mSw6U8jQr05uXODcni6QUEGx0zzTCZTFQpWIAqBQtAUzh1oxTT9vix/uI6tl//gx0bF+K+riBvlQmjRVAeMrnrZV5EnmzbrvEMPxhGPHa+LNiGprU/xmQ2Gx1L0iGzxYXPWsym/eJWDP39BX7qthkXVw+jY4lIKqF3qyIi4lDRcff5Ydsifj/9JxeOtcbT1ZUixYOpUaA3L1Zsip9XZqMjphtFsvvxSaOOQEciY+4zc+9G/jp+jmELD/Lx75vJVmgBbYu3oV/51ni7eRsdV0RSg7hoWD0C14OzKJWnECMaTyKnf1mjU0k6l9WvCKODh9J/7yj2rh5KSLMfjI4kIqmESikREXGIDWcOM2bnLI5GrwVLDJ72ooxoFUDn4FJ4uTUxOl6655fJg9dqNOS1GnDxViyTtm5h6QUTk4+MYsqRbwn0qckrId2pkb+i0VFFxCA79k1l4c5v+SziOsENPyO4Yl/Q0VHiJBXK9mTlzbPk2PANlGgDReoaHUlEUgGVUiIi8szu3r/PmiM3mbPjHIdM72FxiaGYV11eCelGvSJljI6XYeXL6sXHzRrwga0+Sw4d4qd98zl4cx0vLr5Ng+yv0bZCDgLzuZMzk67gJ5IRxMfH8P1vPZgRfYKKrm5E9/kd39zljI4lGVCOOu9hvbiHqStfplWHX8mRs5TRkUTEYCqlREQkydafOcR326dzMnY9MWcHUClfSQYHfU6HckH4engZHU/+j8Vsom1QGdoGlSHi7j3m7j7Bot2RrDi7FM/ciyiTpR7v13iZktk1sbFIenXmwibe/vNVTpgSGJKtEj2aTcRscTU6lmRUZjNRzb9i9pLWbP29N5O6bcbi4mZ0KhExkEopERF5agsPb+X7XROIZA9YvSnp3ZC3+tclJH8ho6PJv8iZ2ZNX6wTxSm07604U4tvtZvbfWEnH5asJ8KjIe9Vfp2o+zSsjkq4cXMCOv97mXmYv5lT5iJIl2xmdSISs2YryZfnX6bf/OyYte4GXW882OpKIGEillIiI/CObzcbGk9eZtOEMu+5OxdPnIs3zD+Ld2t3J7O5pdDxJIpPJRN3iBahb/H1OXn+VT9bOZvftRfSZvZx2Jcx0qpSNQP9cWMwWo6OKyDOKunuFdb+/yvPhq+lYqh2tmn6Bh3dOo2OJPFSpfD8GnPuL8bf3E7x3MpXK9zM6kogYRKWUg4WFhREWFobVajU6iohIssQnJvLtll+Zd3IGUdeDKO7ZjJF1htGiTABuLnr5SA+K5sjC9I6h3Ijuy8ytZ5m17QK/XhiJt08E3Uv24KUKnfBw0WW7RdKSfUfm8/a2j7mLjWrNvyJ7xX54mExGxxJ5zEstprFrVjX+2P4NlYq1Am/NcyiSEelyGw4WGhpKeHg4O3fuNDqKiMgziYmLY/gfk6k0vTGzznyKq8mL4fUbsOzVGrQtX1iFVDqU3duDNxo+x+Zh9ehTpjfW+7n5Mfxrqs2uxxdbxxKbEGt0RBH5F1ZrIhOW9aH39o/IYbcwv/6PZA/pDyqkJJWyuLgxttV83r0bD4teArvd6EgiYgCVUiIiAkB8oo3pW85Se+xEll35Hh+XfIwInsC2F+bTp2J9TPpgk+55uFp4q04jtvebzsCikyAmiFlHpvP2wu1cvBWLXR8YRFKn6OvMnNOI8Td20M+7BNO6byZvQDWjU4n8K6+shTC1nsCaK1v4fe07RscREQPo624RkQwu0Wrli41zWXxkIzfPt6B12Rq0rlSf2oV1meaMytViZmCNKvSpHMK0rceYvOESdQ/+Qa4SP9E0Vx0GFx6Ip0XziYmkBtePLiXHsiF0tFkpW/9tyge/aHQkkaQp1oC/8pVi7bnfCL7WjZy5ShudSEScSEdKiYhkYFN2/0Hl6c8z99xIPDzvsvSVynzbuYIKKQEeHDk1oFYg69+qy0t1ArhzJzs/X55OnblNmXVoHgm2BKMjimRYCQn3Gb2wAy22DudyjiJ4vbxFhZSkWUOb/YSbHT5Z9SJ2m83oOCLiRCqlREQyoPDLd6g5rTffHnoTExbeCvqeTb1nUSZvdqOjSSqUyd2FIQ0qsKH3eOq4fkD0nXx8ufsT2i54ifsJurCHiLNdvnaQ3nNqMCfqCK9mq0Tu7r9B5lxGxxJ5Zr5ZCvJe8W6ss9/lj82fGR1HRJxIpZSISAYSfu0Cr8/dQfMxm0iILkS3Qu+xo/diepavZ3Q0SQN8PF15JbgUf/WYRIPMX3LsaBUafrue2Xt2cOLWCaPjiWQIO/f+RIcVXbhhvc+M8m/R/fmpmCyakUPSvgY1hlPHlJn5R+dCfIzRcUTESfQKJiKSAcQmxDFk5Tg23JiNJaoeHz8/kM6VmuJq0XcTknTZvd35tm0zXq0ZzQdLD/PJxjBcD+7j+ULtGVp5EL7uvkZHFEl/bDbY9DX+G7+kVt6iDHt+Fr7ZihqdSsShPm44Du/JDWHTd1DvXaPjiIgT6NOIiEg6N3PvX1Sf8Twbbk6lsEdtlvV6mx5VC6qQkmQrnMObGX0qMarOJ7jdacGSU4upP68pc47MxWrTaX0ijnLl+mGGzaxB9NrPyV9tMCN7blYhJelS1tzlcK36Cqe2j+XKpR1GxxERJ9AnEhGRdCri7n36/byEUQdew2JyZ2TlySzt8jX5s2QzOpqkIyaTiefLBrDhpY9om30MMbeK88W2r1l55JTR0UTShfW7J9JhWSf2WO9wrW0Y1H0HzBajY4mkmMTqrxGaKxuj/hpsdBQRcQKdviciks7cT4jnwzVzWb41B64uXnSt8Slv1WqBi0UfYiTlZHJ34eOW1eh+rQzvLNlK6MwTLCp1Bb/8fzI4JBT/TP5GRxRJUxIS4xiz/AWm3j5IHZMnn7achW/2EkbHEklxLp5ZeLVwW4adW8S23ROpEvyS0ZFEJAXpSCkHCwsLIzAwkJCQEKOjiEgGNGvfWqrOaMmyq6OpHRTPX2/WZnjdViqkxGmK58rM/P4N+b5zOfZePcGKU3/S9NcWTDs0Q6f0iTyte7c5+Et7Zt06wBDfsvzQfYsKKclQmtX6kPJ2N77cH0Ziwj2j44hIClIp5WChoaGEh4ezc+dOo6OISAZy9lYEjWa9zJf7B2ExufFppUmMbfc8WbzcjI4mGZDJZKJVubysfbUXrbP/wL3ICny96ys6/dad03dOGx1PJFU7cGQhtkm1qHDxAL8Hf0Cv1rMwubgaHUvEqUxmM8OrvM8ps425f75pdBwRSUEqpURE0rhtF2JoP3sMV+J308x/ENt6LaZ1YBWjY4ng4+HKp61C+KXdKLLceY0j1yKYveMoNpvd6GgiqU6CLYFvV/Sn244PWO3pCS+tJ1eZDkbHEjFMyeda85F3SeofXA4xN4yOIyIpRKWUiEgadelOJL3mTuXDNVcJytyCuS0W8mXj/jpVT1KdcvmzsHpgbzr6f89Pa+x0/nELb659lyM3jxgdTSRVuBZ1gb4/12V6xFYGexSiYe+/IGtBo2OJGK5N0/H4W+0krPnI6CgikkJUSomIpEETdqyg6a+t2Hf/R0KrZuKnnpUIzJnP6Fgif8vD1cIHz5fm5/5VuHAnglUndtJpWWe+3/M9cdY4o+OJGObCpR10XNicS/cjmVq4Ky90WorZLZPRsURSh0zZOV1tAE2u/8mRo4uNTiMiKcAhpVRCQgIXLlzg2LFjREZGOmKTIiLyBNei79B8zuuEHXmbTKY8TG80m5Yl/DGZTEZHE3kqVYtk449BLWia9QvuX6/PTwem0nZxe/ZF7DM6mojznVxD3lmd6Hjfzrz64ylf6x2jE4mkOvmrvY6PyZWR2z7BbrMZHUdEHOyZS6no6GgmTpxInTp18PX1pWDBggQGBpIjRw4KFChA//79Ndm3iIgDbT11k2YzhnMubiMNcw1kc6+fKZe7kNGxRJIss4croztUYHzzt3G99ibnb9pYeGi30bFEnCb6fhRvzm/B1gVdMeetQGjP9WQrWNvoWCKpkqurF2+XHcheUzwrNnxodBwRcbBnKqW+/fZbChYsyI8//ki9evVYuHAh+/bt49ixY2zdupUPPviAxMREGjZsSJMmTThx4oSjc4uIZBi3YqN5beFvdPlxGwUsrfmp/i980+RlzGadgS1pW/2SufjzlU7UzPQRM/7IxStz9jBm9wTNNSXp2smre+gyty5bos8QH9QBus4HLz+jY4mkalWCB9DA7Ms3pxcSGx1hdBwRcSCXZ3nQli1bWLt2LWXKlHni/ZUqVaJPnz5MmDCBn376ifXr11OsWLFkBRURyYh+O7KT97a8jdWewDvNp9CvelHMZp2qJ+lH1kxujOtWkd/2X+adxbvZGLuYnw5P5I3g1+kR2AOzSeWrpB8r905kxP6x5E208kul9ykQ1MXoSCJpxpB6X/PW8l5c3zSaAk1GGx1HRBzkmUqp+fPnP9V67u7uDBw48Fl2ISKSodlsNgavGs+fV3/E3ZSHMfXGUKuQyn1Jv1qWzUP5gCyEzsnM8bvz+GrXV2y+tJlPa3xKTq+cRscTSba43dP5Ye931DV78UGrOXjlKGF0JJE0JW/eyswu0h3Tlu+h0svgV9joSCLiAA77+nH3bs0FISLiCHfuJdBs1jDWREygqGcD1nX7lVqFShkdSyTF5cvqxfyXatG9+CvEnu/LritH+HH/NKNjiSTL9buXubo0FPffBjErW02+6L5JhZTIMzLVfINjPjkYu7y/0VFExEEcVkq1adPGUZsSEcmw9p6/SYsxG7l0oSQ9Cr/P4s5fkdnd0+hYIk7j5mLm3eaBTGrfBeuFN1i+Pojd526x8+pO7iXeMzqeSJLsPruGjr825bNLf0CLb/FrMwmTm/6mizwzt0ycKd+JibYItuwaZ3QaEXGAJJ2+17Fjxycut9vtREZGOiSQiEhGZLPZGLRiDGsvrqKw11vM6dqJ/H5eRscSMUz9krlY8UpTBv28l06T1pP1uVH4e2djVK1RlMxW0uh4Iv/Ibrcza9sXfH1sNuUT7HxQfwwUb2J0LJF0oXGN95l1agk/HJxE1QoDMOnCLyJpWpJKqT///JOZM2fi7e39yHK73c6GDRscGkxEJKO4cPsm3ZYM5hZ7KJG1GTNbVyOTu7vRsUQMlzeLJ7+8WIWv/jjGj1v7Yy6ygK4ruvJa+dfoWaqnJkGXVGvEsu4sjjxAb5sXr7VfgEvWAKMjiaQbJrOZV8sOoN/BMazd9hX1qg01OpKIJEOSSqk6derg7e1N7dq1H7uvfPnyDguVloWFhREWFobVajU6ioikAatO7GHohsHYTLH0KfExb1TXqdAi/83VYmZ405JUKujH67/kJFPuP/l699fcib/DaxVeMzqeyKOsibB6BFWP/kXNgjVo1HomuHoYnUok3alc4UUqH/iRqUdnU6/KENDRUiJpVpJKqYULF/7tfStXrkx2mPQgNDSU0NBQoqKi8PX1NTqOiKRiyw5cZujvf+CR3ZPJjSYTkq+o0ZFEUq36JXOxKLQ2/WdkIjaqIIWCGwKQYEvA1exqcDoRWH1sIfu2fc1bZ4/QrMkXUKk/mExGxxJJt0ZUeZ/M83pB+CIo3c7oOCLyjFQpi4g4WXxiIgMXTeWVOXtoENCY9d0WqZASeQpFc3qzeGB1ymWvyhtzzjJu/UHaLmnLvGPzsNvtRseTDCrRlsg364cxeNsHXL0fSUL3hVD5RRVSIiks4LnnyVqkAVFrPycx4b7RcUTkGSWrlLp69aqjcoiIZAjnb1+nzqwebLjzLS/W9+T7zuXI7KFTO0Selq+XK1N7h9CnekFGrTyNLbYYn2z7hOGbhhObEGt0PMlgbty7wYuL2jDjzDKGJHjwVcdVuBapY3QskQzjdvVXaZrpHss2fGB0FBF5RskqpRo1auSoHCIi6d6qE3tp+WsH7tpO83qp0bzTsD4mfZMukmQWs4l3mwfydftgThxpiP/9vqw59xddl3fl9O3TRseTjMJmZc6Klzh9+xSTvUrRq+d6TJrQXMSpshSsRWVXPyacW0FCXIzRcUTkGSSrlNKh8iIiT2fitvW8uakvFjyY2mg2/UIaGx1JJM1rF5yPuS9W4c6N0pivvEa81c6NezeMjiXpnN1u5/TVPTC7PS8f+ov5xXpRscMv4OZldDSRDGlgtRFcNttZtO4do6OIyDNIVimlb/hFRP6Z1Wbni9+PMnLxHQq7tuLPLvOpqPmjRBymfEBWfnu1Bv5eBTm190WuXMuL1Wbl56M/E2+NNzqepDOxCbEMXz2QDit7cfXqPly7LyRHrbc1f5SIgYoWaUQz1xxMvLSG+/duGR1HRJJIE52LiKSQC7dvUntGTybvWMs7zUqxpNsI/LwyGx1LJN3J5ePB3Ber0LxMXl77ZR/vrljJ6J2j6fV7L67GaP5LcYwLdy/QY1Er/rq0kU/iPfHvtxaK1DU6logAA2t+QsH4eCJ3TjI6iogkkUopEZEUsO38MVr+2pE7tuMMa16EF2sV0dGlIinIw9XC1x3LMqzpc/yyCYJd3+fGvRt0WtaJ3dd2Gx1P0rg9V3fTeXFr7kVdYJZnIM16r4WsBY2OJSL/JyCgBj/lbkie7ZMhXhe9EElLklVKubm5OSqHiEi6MffARvr/2Qs7dibWn06/iroohIgzmEwmBtQuwnedyrH2gDu5ot+mQOaC9FvVj/Cb4UbHk7Qq4T55N/5AnTuR/FyoC8U7zQW3TEanEpH/VestdtiiWbX2XaOTiEgSuCTnwbt27XJUDhGRdOG3Axf4ZMd7eJlzM6/NRAr65TQ6kkiG07p8XvwyuTFg1m6KxvblzToRlPQrCTyYpFpHLcrTiEmI4bttIxl4bCu5rh7is9bjoHQ7o2OJyN/JWpAVAWVYe2k1NWNv4OWV3ehEIvIUkn363r1794iN/f+HSJ47d47vvvuOP/74I7mbFhFJM2w2G2Frw3l1zgGqeL3N6q6zVUiJGKhW8Rz88mIVLkXGMeX37Fy8dY91F9bRe2VvXaFP/tW5qHN0W9qe304t5lTMRei9QoWUSBrQv9anRJlh7l9vGx1FRJ5SskupVq1aMWPGDABu375N5cqV+frrr2nVqhXjx49PdkARkdTufkI8z/8ymLFHhjGwTiEmdW6Kr4cuDS5itKB8Wfj15WpY7Xbajt/C7btuXLh7gU7LOnHoxiGj40kqtf7CerosbY/11jnmxGWmYu81kC/Y6Fgi8hTy5q1EG498TL2+ndjoCKPjiMhTSHYptWfPHmrWrAnAggULyJUrF+fOnWPGjBn88MMPyQ4oIpKaXYu+Q/3ZvTkbv5Y2RVsxtEkgZrNODRJJLQpmz8SCAdXI5ePO+3PvMqT0OPwz+dPr914sObnE6HiSyly5e5nX/xpEcNQt5mQKonDv1eCbz+hYIpIE/Wt9xl0TzFuro6VE0oJkl1KxsbFkzvzgEud//PEHbdu2xWw2U6VKFc6dO5fsgCIiqdWBq2dpOq8zUfYTvFZqFJ836mt0JBF5ghyZ3fnlxaqUC8jC67PP0CHPZzQv3JyfDv1EnDXO6HiSCsQkxGCNv0futSOZdvky3xftSuZOc8Dd2+hoIpJEufME871PedofWQv3o4yOIyL/ItmlVNGiRVm8eDEXLlxg1apVNGr04CpTERER+Pj4JDugiEhqdPjyHV74ZSaJRPNNjR/pH9LY6Egi8g+83V34qVcIzcr488bcwxSy92Zm05m4W9y5HH2ZW/dvGR1RDHL69mk6/9aRSXMawr6fKdvkO8yNPgZzst8mi4hBatX/Au+4GBK2azoZkdQu2a+2I0aMYMiQIRQsWJDKlStTtWpV4MFRU+XLl092QBGR1GbhgYN0nLCVPJa6LGm1iIbFyhkdSUSegpuLmW86lqNfjUJ8tOwIk9dfxW63M2LzCLos78KxyGNGRxQnW3N+DV2WdcJy+zzNblyGXkuhfDejY4lIcvnmZV3pZjQ7NYO7UZeMTiMi/yDZpVT79u05f/48u3btYuXKlQ+X169fn2+//Ta5mxcRSVU+WTubEXt6UKLwJea+VIVC2XS5YZG0xGw28W7zQIY3fY4xf53ki9+P8lG1j/Bx86H7iu6sPLvy3zciaZ7NbmPM3jG8vvZ1qsdEMzvGlQJ9/oQC1YyOJiIOEljtLSLNJmZrbimRVM3FERvx9/fH39//kWWVKlVyxKZFRFKN138P489rE8njUp1Znbrj5eqQP6EiYoCXahfBzcXMR7+FE28tyLQm0/hw64e8tf4tzt05x0tlXzI6oqQgEyYuXNzKa7fv0jfzc5h6zAEvP6NjiYgD5cxVmo5ehZgRuY+udy7g45vf6Egi8gT6RCUi8i9sNhu9Fn3Gvuh5lPBsztz2n+FisRgdS0SS6YXqhXCxmHl/8SESrDZGtvyC5/yeI39mfXBJr07cOsH12AiqndvDl7tXYCrdDlqPAxd3o6OJSAroU+cL5i/vxKy/hjKwzc9GxxGRJ1Ap5WBhYWGEhYVhtVqNjiIiDmCz2Xl/6T52X99CtdzdmdTyLcya/FYk3ehRpQBuFhPDFh4k0Wrn8zYvYDabsNvthO0Lo2WRlhTwKWB0THGAVWdX8f7m9ymJO1VPHMBU802o+54mNBdJx3LkLEVH7yKcubYH7t0Cz6xGRxKR/6FXYQcLDQ0lPDycnTt3Gh1FRJIpJi6OAb/8yc/br/BO+bFMbvW2CimRdKhTSACj25dl7q4LDP31AFabnTtxd1h1dhVdlndhy+UtRkeUZEi0JfL1rq8Zsn4IdayujD8Vjqnl91B/hAopkQzgzSYTGH3jDmwNMzqKiDyBXolFRJ7gZuxdGv7cm80xn/NDlyC6Vy5idCQRSUHtg/PxXadyLNxzkcHz9uHt6sPs5rMJyhHEwD8HMvvIbOx2u9Ex5Rl8tv0zZobPYEiCJ19ePItX17kQ3NvoWCLiJJbMubFV7MOGfVOIjb1hdBwR+R8qpURE/sf529dp/Es3ouwnGFx+GC2CNL+MSEbQqlxexnSpwLIDV3ht7j48Ld6E1QujW8lufLHjC1adXWV0REmCRFsiAD1z1WDyHSu97tzF1GclFG1gcDIRcbZrQW151c+LZZs+NTqKiPwPzSklIvJfDl09T4/l/Ug0RfFp5bG0DqxidCQRcaLmQbmxmE28+vMeXpmzhzFdKvBWyFtUyV2FqnmqAg/KDhez3kKlVna7nTlH57Dk5BKmPdeXQgv6UShLAPScB755jY4nIgbInacidSy+/HzxLzrYbJh06q78C5vNRnx8vNEx0ixXV1csT3lhKL2jEhH5P2duxNB3zu9YfRMYW3cytQuVNjqSiBigSWl/JnQP5uVZe3h51m7Gda9AzXw1Adh9bTcfbPmAr2p/xXN+zxmcVP5XbEIsH2/7mOWnl9M9ewiuP3eFQrWhwzTw8DE6nogYqGupXvQ7OIYd+yZTucKLRseRVCw+Pp4zZ85gs9mMjpKmZcmSBX9/f0wm0z+up1JKRATYcvYEg2afwdejBPPbLCXAL7PRkUTEQPVL5uLHXhV5ccYuXp61hwndg3FzMZPXOy9eLl70WNGDEVVH0LJIS6Ojyv85F3WON9a9wcW7FxiVrRpNd/4CFXpC82/A4mp0PBExWKVy/Si6byxzDk9XKSV/y263c+XKFSwWC/nz59dFjp6B3W4nNjaWiIgIAHLnzv2P6ye5lLp37x6RkZHkzfvo4c+HDx+mVKlSSd2ciIjhlh/bxbDNr+CTrR5zu39Adm93oyOJSCpQu3gOfuxZkX7Td/HaL3sZ06U8/pn8md50Op9u+5R3Nr3DgesHGBoyFFeVHoY7efskCYnxzPEsTdFdvzy4ul6NwfAv39CKSMZgMpsZUKAp1/fPgdvnIUuA0ZEkFUpMTCQ2NpY8efLg5eVldJw0y9PTE4CIiAhy5sz5j6fyJan2W7BgAcWLF6dZs2YEBQWxffv2h/f16NHjGeOKiBhn4eGtDNs8EDey8XPnN1RIicgjahXPQVi3CqwOv8aQ+fux2ux4unjyafVPea/ye2y6tIm7CXeNjplhJVgTWHJyCXa7nfr+VVl4PxNFDy6B1hOg5psqpETkEY1rvE/3OBPsnGx0FEmlrFYrAG5ubgYnSfv+U+olJCT843pJKqU+/fRT9uzZw/79+5kyZQp9+vRhzpw5ALpMsoikOT/vX8+IHa/iQW5+az+TgCw5jI4kIqlQw8BcfNupHEv3X+a9xQex2+2YTCY6PdeJJa2X4Ofhx417N9hzbY/RUTOUK9FX6L2yNx9u/ZATV3fDzDa4ntkAXedCuS5GxxOR1Mjdm2tB7fj6xFzu3btldBpJxf5tHiT5d0/7O0xSKZWQkECOHA8+tFWsWJENGzYwceJEPv74Y/2jiUiasuXkDT5dP5NMFGB5xxnk8fEzOpKIpGIty+ZhVPuy/LzjAh/9Fv7wyzg3y4NvUqcdmkafVX2YGT5TX9Q5wcaLG+mwrAPX711neo2vKL7wFbhxHHr9BsUaGh1PRFKx+KAOTPdy5ffNnxkdRURIYimVM2dODhw48PB2tmzZWL16NUeOHHlkuYhIavb74dO8MG0n5TP1YWWnGeT09jU6koikAe2D8/Fp69JM23KWUauOPVI+vR78Ot1LdmfUzlG8veFtYhNiDUyavm25vIWBawZSNkdZ5lf9nKBFgyA+GvqsgnwVjY4nIqlc/vzVqGXOzOwLq7Hr6moihktSKTVz5kxy5sz5yDI3Nzd+/vln1q9f79BgIiIp4ZtNC3lre2cqFIvlp16VyeqVyehIIpKGdK9SgPeal2T8ulOM/evkw+UuZheGhAxhdO3RrLu4jt4re2O1WQ1Mmv7cS7wHQCX/Snxe43PGFOuJ76z24OEDff+AHMUNTigiaUXXkt05brax+8AMo6OIZHhJKqXy5cuHv7//w9tXr159+N/Vq1d3XCoRkRTw+fqfmXLyI3K4lGJy5xa4u/z9VSBERP5Ov5qFGdKoOF+vPs6PG04/cl+Tgk34ufnP9CndB4vZolP5HOTPc3/S5Ncm7IvYh4vZhZZWd8wzWkGOkvDCCvDJY3REEUlDqlR4iYJWE3MO/mR0FBGHiYiI4KWXXiIgIAB3d3f8/f1p3LgxW7duNTraP3JJzoMbNWqk0/ZEJE14/89pLLr4Dbkt1fit8w94uOqKGiLy7F6pV4zYeCufrThCFi9XOlTM//C+IlmKUCRLEQC+2vUVHi4eDCw7EItZRXhSxSbE8tX2r1h4YiH1A+pT0Kcg7JsDS16B4k2g/U/g6ml0TBFJY8wWF0YUbIXvtokQdVnFtqQL7dq1IyEhgenTp1O4cGGuXbvGmjVriIyMNDraP0rSkVL/S9/+iUhaMGPbURaenUSAa21WdBmrQkpEHOKtxiXoUik/wxYeZO3RiMfut9vt+Hn4MfngZAauGcjNezcNSJl2XYi9QKcVnfj9zO98VO0jvq39DVl2TYPFL0P57tBxhgopEXlmIdWGUNzuArunGR1FJNlu377Npk2b+PLLL6lbty4FChSgUqVKDB8+nObNm9OnTx9atGjxyGMSExPx9/dnypQpANSpU4dBgwYxdOhQ/Pz88Pf358MPP3xsPy+++CK5cuXCw8OD0qVLs2zZsmRlT9aRUrrinoikdr/sOMuIxadoV2kkX7aqgYtFRyqIiGOYTCY+aVWa63fjGTh7Dz+/WIVy+bM8cn/fMn0JzBbIsI3DaP9be76o+QWVc1c2LnQaksU1C0V8izC+wXgKeOeHP96DbWFQayjUfQf0PlREksPDl52BDRl/cjYTq72Gq7vmGZUnuxdv5dT1aKfvt0gObzzdnu6zi7e3N97e3ixevJgqVarg7u7+yP39+vWjVq1aXLlyhdy5cwOwYsUKoqOj6dix48P1pk+fzuDBg9m+fTtbt26ld+/eVK9enYYNG2Kz2WjatCl3795l1qxZFClShPDwcCzJ/HyVrFJKRCQ1G/bHjyw5uYwulUfweesKKtJFxOFcLGbGdClP95+202faThYMqErhHN6PrFM1T1UWtFzA8I3DWXFmhUqpf3Ap+hJf7viS4SHDyeyame/qfIfFboVFL8LBBdDsK6jU3+iYIpJOZC3TlZ2b97Bm+1c0qfWB0XEklTp1PZoWYzY5fb/LXq1B6bxPd5VwFxcXpk2bRv/+/ZkwYQIVKlSgdu3adO7cmaCgIKpVq0aJEiWYOXMmQ4cOBWDq1Kl06NABb+///74lKCiIDz548P9CsWLFGDt2LGvWrKFhw4b8+eef7NixgyNHjlC8+IOLixQuXDjZz1OllIikS8P++JHlV36gaNYGfNaqvAopEUkxnm4WfupVkfYTttJzyg4WDqxGzswej6yTwysHExtOJNGeCMCmS5somqUo/pn8n7TJDMdutzP/+Hy+3vU1vu6+3Lx3ExdcICEWFvSGMxugw1Qo1cboqCKSjhQt2piKm97l59NLVUrJ3yqSw5tlr9YwZL9J0a5dO5o3b87GjRvZunUrK1euZNSoUUyePJnevXvTr18/Jk2axNChQ4mIiGD58uWsWbPmkW0EBQU9cjt37txERDyYomDfvn3ky5fvYSHlKMkqpdzcNC+LiKQ+/ymkCro1YEmnrzGbkzV9nojIv8ri5cb0PpVoO24zvafsZO5LVcjs4frIOhazBQsWrDYro3eO5sa9GwyrNIwWhVtk6OL8cvRlRmwewfar22lXrB1vVnwTL4sXp67uxTynA1w5AN3mQ+E6RkcVkXSoc5FWDDk9j2MnllOiWHOj40gq5Olmeeojlozm4eFBw4YNadiwISNGjKBfv3588MEH9O7dm549ezJs2DC2bt3K1q1bKViwIDVr1nzk8a6uj753MZlM2Gw2ADw9U2Yex2R9Utu1a5ejcoiIOMQPG9epkBIRQ+TN4sn0PpW4cCuWAbN2E5dofeJ6FrOFGU1nUCNvDd7Z9A6D/hpEROzjE6VnFNEJ0VyJucLEBhP5sNqHZHbLDLE3CVg7ECLCoecSFVIikmLqVXmTnFY7y/aMMzqKiMMFBgYSExMDQLZs2WjdujVTp05l6tSpvPDCC0naVlBQEBcvXuT48eMOzahPayKSbszbeYFvV8RQxettFVIiYojn/H34sWdFdp69xZD5B7DZnnylYl93X76s9SXf1f2OgzcO8sGWjHXayLHIY7y76V0SrAkUz1qcpa2XUi1vtQd3Rl3BPL0FLrER2Hr8BvlDjA0rIumaq6sXP+V/ntdO7oF7t42OI/JMbt68Sb169Zg1axYHDhzgzJkzzJ8/n1GjRtGqVauH6/Xr14/p06dz5MgRevXqlaR91K5dm1q1atGuXTtWr17NmTNn+P3331m5cmWysjtkTqn79+9z4MABIiIiHh7a9R/PP/+8I3YhIvKP3vnjJ+bvOU+3yu35pFWzDH0qjIgYq0rhbHzfqRwD5+whZ2Z33m8R+Lfr1g+oT8VcFYlJePAt5pGbR/B19yWPdx5nxXWqO3F3GLN3DPOPz6egT0GuxV4jX+Z8WMz/d+WeyDMwoxXYEjhffyIF/EsbG1hEMoSCVQbB1onE7Z2Je7VXjY4jkmTe3t5UrlyZb7/9llOnTpGQkED+/Pnp378/77zzzsP1GjRoQO7cuSlVqhR58iT9vcavv/7KkCFD6NKlCzExMRQtWpQvvvgiWdmTXUqtXLmSnj17cuPGjcfuM5lMWK1PPnRdRMRR3vnjJ5Ze/p7nCjTgk1alVUiJiOGalsnNx8+X4v0lh/H38aB/rb+/Oo2vuy++7g/mqvh699ccuH6A0HKhdCvZDRdz+rkmzcozK/ls+2ck2BIYHDyYriW74mr+r7krIo7CzNbg6omtx1Lir983LKuIZDCZ/ZlSNIQlRyexqPLLmC3p52+vZAzu7u6MHDmSkSNH/uN69+7d4/bt2/Tt2/ex+9atW/fYssWLFz9y28/PjylTpiQn6mOSfW7LK6+8QocOHbhy5Qo2m+2RHxVSIpLS/lNIFXKvz+JOo1VIiUiq0aNqQV6pW5TPVhxh8d5LT/WY7+p8R+uirfl619d0XNaR7Ve2p3DKlGW327mXeA948GVlrXy1WNZmGb1K9Xq0kLq8D6Y1A08/eGElZMlvTGARybCCAjtz2gLb9k4yOoqIw9lsNi5fvsz777+Pr69vqjqjLdmlVEREBIMHDyZXrlyOyCMi8tQ+/uvn/yqkvvr/p3+IiKQSbzYqTseK+Rgyfz/bTt/81/W93bx5p/I7/Nz8ZzK5ZOKdTe8Qb413QlLHO3D9AH1W9eGdjQ9OG2hcsDGf1fiM7J7ZH13x3FaY3hKyFoTeyyCz3lOKiPMFB/WkqM3ML+GzjY4i4nDnz58nb968zJs3jylTpuDiknqOBkx2KdW+ffsnHuYlIpKSluy7xNS/LJT06KRCSkRSLZPJxGdtylCpkB8vz9rNuZsxT/W4UtlLMaPpDGY1nYWbxY1L0ZcYsn4Ix2859oo3KeHkrZO8sfYNuq3oxp34O7Qp1uYfVv4TZraB3GUfXGXPy895QUVE/ovJbKZL3jqst93hyuXdRscRcaiCBQtit9u5cOEC9evXNzrOI5Jdj40dO5YOHTqwceNGypQpg6ur6yP3Dxo0KLm7EBF5xNebFjH+j3u0L1uKL9t1wGzWKXsiknq5WsyM61aBNuO20Hf6LhYOrIaPh+u/Ps5kMpHbOzcAV2OucujGIdotbUejAo14uezLFM1aNKWjJ9nd+Lt0Xt6ZbB7Z+KzGZzQv1PzvvzQIXwIL+kKRetBxOrh6OjesiMj/aFHtXcbN+5ODuyeQO8+PRscRyRCSXUrNmTOHVatW4enpybp16x6Zz8VkMqmUEhGH+mbTQqae/IgSxRvzRbsuKqREJE3I4uXGT70q0jpsM6/M2cuUXhVxsTz9AevBuYL5rfVvLDm1hEkHJtFmaRuGhgylR2CPFEz97+7G32X56eX8fuZ3JjScQGa3zExuNJlS2UrhavmH4m3fHFgSCoGtoe0k+Kd1RUScxMs7J6tzNcX18CJoGgcu7kZHEkn3kn363nvvvcfHH3/MnTt3OHv2LGfOnHn4c/r0aUdkTFFt2rQha9astG/f/on3x8bGUqBAAYYMGeLkZCLyv8K2/caUkx+Tw1yBXzt9ikWFlIikIYVzeDO+ezCbT97g0+VHkvx4V4sr7Yu3Z3mb5XxW4zOq56kOwPLTyxm3bxznos45OvLfWnlmJYP+GkTtubX5YscXZPXISlRcFADlcpb750Jq+yRY/DKU7w7tJquQEpFUxbXSi9y7d5Pzexx7hTERebJkl1Lx8fF06tQJsznZmzLEoEGDmDFjxt/e/9lnn1G5cmUnJhKRJ/lp1yrGHxlBVlMZlneZgIerm9GRRESSrHrR7Hz0fCmmbTnLrG3PViK5Wlx5vsjzFM5SGIArMVeYET6DFota0GJRC0ZuH8mxyGOOjM21mGssO70Mq+3BlZV/PvozN+/d5I3gN/ij/R98V/c7cmV6ignKN38Pv78FVUKh5Q+g+QBFJLXJUZxhBUsw/LBO3xNxhmSfvterVy/mzp3LO++844g8Tle3bt2/naj9xIkTHD16lJYtW3Lo0CHnBhORh7afvslXf+4nm39pVnSehJerDqUWkbSre5UCnIyI5oOlhymUPRPVi2b/9wf9g35l+tGtZDe2Xt7KpkubWHthLZX8K1HCrwRrz69l3/V9lMxWkgKZC5A7U2583X0fmW7hvyXaEnExP3h7ODN8JgdvHOTwjcOcv3segOJZi1M8a3EmNpyIh4tH0oJu/BrWfAw1h0C99+BvMoiIGO35Ym15/cQsjhxbQskSrYyOI5KuJbuUslqtjBo1ilWrVhEUFPTYROfffPPNM297w4YNjB49mt27d3PlyhUWLVpE69atH1ln3LhxjB49mitXrlCqVCm+++47atas+cz7/G9Dhgxh9OjRbNmyxSHbE5GkW3n0MG/OOU+FgFpM7joYT7fUc/lSEZFn9V7zkpy6Hs3Ls3azOLQ6hXN4J2t7ni6e1AuoR72AetjtduzYAbgcc5kVZ1Yw5dD/Pw2lW8luDKs0jKORR3l97esAJNgSuBt/F29Xb/7q+BcAi04uIpNLJmrkrUGFXBUI8Q/Bz+PB1fGSXEit+xLWfQ51hkPtt1VIiUiqVjvkNbIfncmS/ZNVSomksGR/ujt48CDly5cHeOxoor/7Fu5pxcTEULZsWV544QXatWv32P1z587l9ddfZ9y4cVSvXp2JEyfStGlTwsPDCQgIACA4OJi4uLjHHvvHH3+QJ0+ev933kiVLKF68OMWLF3+qUiouLu6R/URFPZhXwWq1YrVa//Xxkr5YrVZsNpv+7ZNpcfh2Ptj1Grnzt2ZCtyG4WUz6nf4PjTVxJo03xzEBP3QqS/uJ2+gzbScLX66Kr6dj51ayYqVz8c50Lt6Z23G3uXj3IldirpDTKydWq5XMLplpXKAxAK5mVzK7ZcbX3ZfExERMJhPzms177L1ckv/t7XZM60di3vgVtjrvYq/5Jths/55dY02cSONN/pfJ7EqzzEX4LfoUr9+PxtVBVwfVWEsd9PtPXUx2u91udIinYTKZHjtSqnLlylSoUIHx48c/XFayZElat27NyJEjn3rb69atY+zYsSxYsODhsuHDhzNr1iwsFgvR0dEkJCTw5ptvMmLEiCdu48MPP+Sjjz56bPnOnTvx9k7et5+S9thsNiIjI/Hz80uz860ZbePl43x/9lPcbDkZU/EjsnlkMjpSqqSxJs6k8eZ4l6MSeG35RYr4ufNpw9y4pKcLONjt5DgwjmxHZhBRNpTIkj2f+qEaa+JMGm/yJJevbmDm0dEMKvQyngWaOWSbGmupQ3R0NCEhIdy5cwcfH59H7rt//z5nzpyhUKFCeHgk8ahgg0VERPD+++/z+++/c+3aNbJmzUrZsmX58MMPqVq1Knv37uX9999nx44dREVF4e/vT+XKlQkLCyN79v8/lcCvv/7KmDFj2Lt3L1arlcKFC9O+fXteeeUV/Pz8njrP0/4u0+x5MPHx8ezevZthw4Y9srxRo0YOOd1u5MiRD4utadOmcejQob8tpOBBiTV48OCHt6OiosifPz9FihR5bKBL+me1Wjl58iRFixbFYtEkrkn156kD/HD2c9ztOVjUdip5fZ/+j19Go7EmzqTx5njFgAlZc9Fr6i5mH0ngk1aByT7SPFWw2zH9OQLzkRnYGn5CtiqhZEvCwzXWxJk03uRJihUrRt0j0+H2XmwNXnPINjXWUof/nNWU3rRr146EhASmT59O4cKFuXbtGmvWrCEyMpKIiAgaNGhAy5YtWbVqFVmyZOHMmTMsXbqU2NjYh9t49913+fLLL3njjTf4/PPPyZMnDydOnGDChAnMnDmT115zzP8L/y3ZpdTIkSPJlSsXffr0eWT5lClTuH79Om+//XZyd/FEN27cwGq1kivXo1d6yZUrF1evXn3q7TRu3Jg9e/YQExNDvnz5WLRoESEhIUnO4+7ujrv745MvWywW/cHJoMxms/79n8Gp69EMXT0OV8+sLGo3jYAsOYyOlOpprIkzabw5XvViOfmsTWne/vUgxf0z80L1QkZHSh67HVYOh+3jocmXmKsMeKbNaKyJM2m8yZPYgjqze/MXlIi+hI9vgEO2qbFmvPT4u799+zabNm1i3bp11K5dG4ACBQpQqVIlABYvXkxUVBSTJ0/GxeVBDVSoUCHq1av3cBs7duzg888/57vvvnukfCpYsCANGzbk9u3bKZI92aXUxIkTmTNnzmPLS5UqRefOnVOslPqP//020W63J+kbxlWrVv3rOr17905qLBF5Bmdu3KXrj9vJ4dGFH7uUViElIhlGp5AAjl+L5pNl4ZTwz0y1Ism7Ip9hbDb4/S3YORmafw0h/YxOJCLyzCKLN6DfiYm8u/0bOjb6zug4YpT4WLhx3Pn7zV4c3LyealVvb2+8vb1ZvHgxVapUeeyAGX9/fxITE1m0aBHt27d/Ymcye/ZsvL29GThw4BP3kSVLliQ/haeR7FLq6tWr5M6d+7HlOXLk4MqVK8nd/N/Knj07FovlsaOiIiIiHjt6SkRSv72Xz9B7xQB8vLoyp28ncmZOW+dwi4gk1/Cmz3HkShSvztnLb6/WIE8Wx0ys6zQ2Gyx/A3ZPh5bfQ3BvoxOJiCRL9hwlqWby5rfLG+hodBgxzo3jMKm28/f74nrIU+6pVnVxcWHatGn079+fCRMmUKFCBWrXrk3nzp0JCgqiSpUqvPPOO3Tt2pUBAwZQqVIl6tWrR8+ePR/2JydOnKBw4cK4ujr2wiv/mj25G8ifPz+bN2+mUKFHDzXfvHnzP17dLrnc3NwIDg5m9erVtGnT5uHy1atX06qVcZftDAsLIywsTDP6iyTB0esX6f17X+wmK2Gda6uQEpEMycViZkyX8rQcs4mBs/cw96UquLukkVMMbFb4bRDsnQ2twqB8N6MTiYg4xPMFmzD07K+cP7+JgIAaRscRI2Qv/qAgMmK/SdCuXTuaN2/Oxo0b2bp1KytXrmTUqFFMnjyZ3r1789lnnzF48GD++usvtm3bxoQJE/j888/ZsGEDZcqUSfJZZ46S7FKqX79+vP766yQkJDw8H3HNmjUMHTqUN998M1nbjo6O5uTJkw9vnzlzhn379uHn50dAQACDBw+mR48eVKxYkapVqzJp0iTOnz/PgAHPNneBI4SGhhIaGkpUVBS+vr6G5RBJK85GRtBlaV/spnh+bDCVIP+CRkcSETFMNm93xncPpsOErXz8WziftSljdKR/Z7PC4oFwcB60mQhlOxmdSETEYepWeg3v0wv4bXcYoSqlMiY3r6c+YsloHh4eNGzYkIYNGzJixAj69evHBx988HBKomzZstGhQwc6dOjAyJEjKV++PF999RXTp0+nePHibNq0iYSEBKceLZXsUmro0KFERkYycOBA4uPjgQe/iLfffpvhw4cna9u7du2ibt26D2//5+p2vXr1Ytq0aXTq1ImbN2/y8ccfc+XKFUqXLs2KFSsoUKBAsvYrIs5x934CHRe9QqLpDj/U+ZHKAcWMjiQiYriy+bPwUatSDF94kHL5s9ChYn6jI/09ayIsegkOL4K2P0KZ9kYnEhFxKA/PrPTwLEj2K4ceXMghPVwhVTKMwMBAFi9e/MT73NzcKFKkCDExMQB07dqVH374gXHjxj3xKnu3b99OkXmlkl1KmUwmvvzyS95//32OHDmCp6cnxYoVe+KV6JKqTp062O32f1xn4MCBfzsRl4ikXvfirfSdtot7kU35vE1p6hZOA0cDiIg4SZdKAew7f5t3Fx+iZG4fSudNhUdfWxNh0YsQvgTaT4FSrY1OJCKSIgZWGQ7TmsH5bVCgqtFxRB5z8+ZNOnToQJ8+fQgKCiJz5szs2rWLUaNG0apVK5YtW8Yvv/xC586dKV68OHa7nd9++40VK1YwdepUACpXrvzwjLdLly7Rpk0b8uTJw8mTJ5kwYQI1atR4YlmVXMkupf7D29ubkJAQR21ORNKxu3H3aDvnMy5dqczMPq0JLpDV6EgiIqnOR61KceRqFC/N3M2yV2uQNZOb0ZH+P5sVlgyEw4uhw1QING4+TxGRFBdQlfN+AZzY+QP1VUpJKuTt7U3lypX59ttvOXXqFAkJCeTPn5/+/fvzzjvvcOXKFby8vHjzzTe5cOEC7u7uFCtWjMmTJ9OjR4+H2/nyyy8JDg4mLCyMCRMmYLPZKFKkCO3bt6dXr14pkt1hpZSIyNO4nxBPi18GcJMDvNu6sQopEZG/4eFqYVy3CrQcs4lBv+xl2guVsJhTwWkjNhssHQQH50O7ySqkRCT9M5tZkj+Qn28fpPq9W3h46v2rpC7u7u6MHDmSkSNHPvH+woULM2nSpKfaVseOHenY0XnXmzQ7bU8ZRFhYGIGBgTpqTOQJEq1WWv4yiJv2fbz03Id0K1/T6EgiIqlavqxejOlSgc0nb/Dt6uNGx3lQSC1/A/bNfjCpeel2RicSEXGKlhVCuWs2sW7nGKOjiKQrKqUcLDQ0lPDwcHbu3Gl0FJFUxWaz0Xrum1yxbqFroWG8WlXfrIuIPI0axbIzpHEJxq49yR+HrxoXxG6H39+C3dOhVRgEOe9bVBERoxUsUIuyNld+O/u70VFE0hWVUiKS4ux2O5+vOMLxKzaez/sa79TuYnQkEZE05eXaRWhcKhdvztvPmRsxzg9gt8PK4bBzMrT8Hsp3c34GERGDPZ+nBpttd7lx46jRUUTSjWTPKTV48OAnLjeZTHh4eFC0aFFatWqFn59fcnclImnUhyv/Yvqm+3z0/GB6VStodBwRkTTHZDLxVYeytBq7mQEzd7MotBpebk6aGtRuh9UjYPt4aP41BKfMRKciIqld48qDOTprGYnhS6HWc0bHEUkXkv1uZu/evezZswer1UqJEiWw2+2cOHECi8XCc889x7hx43jzzTfZtGkTgYGBjsgsImnIy799w8ab0+hT91sVUiIiyZDZw5WJPYJpFbaZt389yA+dy2EypfDE53Y7/PUJbPkBmnwJIf1Sdn8iIqmYb5aCjMhRDcJ/g1pDjY4jki4k+/S9Vq1a0aBBAy5fvszu3bvZs2cPly5domHDhnTp0oVLly5Rq1Yt3njjDUfkFZE0ZMjKCWyKnEqQd2tGNK5vdBwRkTSvWK7MjGofxG/7LzNnx/mU3+H6L2Hj19DoU6gyIOX3JyKSysWVac+8mNOcObXa6Cgi6UKyS6nRo0fzySef4OPj83CZj48PH374IaNGjcLLy4sRI0awe/fu5O4qTdDV90Qe+PCvGay8Oo4i7k2Y1fZDo+OIiKQbLYLy0K1yAB//Fs7Rq1Ept6MNX8G6kVD/A6j2asrtR0QkDTEXachYv6ws2jvO6Cgi6UKyS6k7d+4QERHx2PLr168TFfXgjVKWLFmIj49P7q7SBF19TwSWH7zI/JMzyedSkwUdvsBs1jUVREQc6f0WgRTKnonQ2XuIjU90/A42f//gtL0670DNJ88fKiKSEbm6Z6JppgIsizqBNTFjfMYVSUkOOX2vT58+LFq0iIsXL3Lp0iUWLVpE3759ad26NQA7duygePHiyd2ViKQB649F8MYvB6mR6X2Wdv4eF4vF6EgiIumOh6uFsV0rcPn2fT5YctixG9867sHE5rXegjpvO3bbIiLpwPNlXuC6xcT2vT8aHUUkzUt2KTVx4kTq169P586dKVCgAAEBAXTu3Jn69eszYcIEAJ577jkmT56c7LAikrrN2b+Oget6UrmYK2M718DNxUlXhhIRyYCK5vTmk9almb/7Iov2XnTMRnf8CKuGQ/XXoe67jtmmiEg6E1iiLYWsJpYeX2B0FJE0L9mllLe3Nz/++CM3b958eCW+mzdvMmnSJDJlygRAuXLlKFeuXHJ3JSKp2Ipjuxi5+y283TIxplNVXC06ZU9EJKW1D85H2/J5eXfRIU5fj07exvbMhBVDoEooNPgQUvrKfiIiaZTJbOaV3LVpePU0xN01Oo4IABEREbz00ksEBATg7u6Ov78/jRs3ZuvWrUZH+0fJ+tSYkJBA3bp1OX78ON7e3gQFBVG2bFm8vb0dlU9E0oBNZ4/w9uZXcSMnS9pPJotnJqMjiYhkGJ+0Lo2/jwevzNnL/QTrs23k0EL4bRBU7AONP1MhJSLyLxpVHUr9u3fgyG9GRxEBoF27duzfv5/p06dz/Phxli5dSp06dYiMjDQ62j9KVinl6urKoUOHMOmNi0iGdS7yNgPXvIzFnon5rafgnzmr0ZFERDKUTO4ujOlanpPXoxm54kjSN3BsJSzsD2U6QLOvVUiJiDyNLPnZVyiE8fvHG51EhNu3b7Np0ya+/PJL6tatS4ECBahUqRLDhw+nefPmnD17FpPJxL59+x55jMlkYt26dQCsW7cOk8nEqlWrKF++PJ6entSrV4+IiAh+//13SpYsiY+PD126dCE2NtZh2ZM94UvPnj356aef+OKLLxyRR0TSkMiYePpO24+HqQ2Tu7SisF8uoyOJiGRIpfL48n7zkry/5DBVi2SjSencT/fA0+tgXk8o3gRajQNdLVVE5Kmdyx/M+PPLaH15N7nzBBsdR1LQ9djrXL93/ZFlPm4+5MucjzhrHKdun3rsMYHZAgE4c+cM9xLvPXJfXu+8+Lr7Enk/kqsxVx+5L5NrJgr4FEhSPm9vb7y9vVm8eDFVqlTB3d09SY//bx9++CFjx47Fy8uLjh070rFjR9zd3ZkzZw7R0dG0adOGMWPG8PbbjrkYSrJLqfj4eCZPnszq1aupWLHiw3mk/uObb75J7i7SlLCwMMLCwrBan/HweZE04urdW3SaPY7o2BAWDOhHoew6ZU9ExEjdqxRgy6mbDF1wgFJ5fMnv5/XPD7iwA37uCgVrQPspYNHFKUREkqJBpdf59Nwylu8eQ78804yOIylo/vH5jx0V17xwc76o+QXXYq7RaVmnxx5zsNdBAN7b/B4Hrh945L7Pa3xOyyItWXV2FZ9v//yR+6rlqcbEhhOTlM/FxYVp06bRv39/JkyYQIUKFahduzadO3cmKCgoSdv69NNPqV69OgB9+/Zl+PDhnDp1isKFCwPQvn171q5dm3pKqUOHDlGhQgUAjh8//sh9GfG0vtDQUEJDQ4mKisLX19foOCIp4va9GFot6Ees23nCunZUISUikgqYTCa+aBdEs+83MuiXvcx76R8uOnFlP8xqD7nLQqdZ4PLs36iKiGRUmbz9qeuajeU39tLP6DCSojoU70Cd/HUeWebj5gNArky5mNti7t8+9tPqnz7xSCmAxgUbUzZH2Ufuy+T6bJ+t2rVrR/Pmzdm4cSNbt25l5cqVjBo1ismTJ1OnTp1/ffx//HeJlStXLry8vB4WUv9ZtmPHjmfK+CTJLqXWrl3riBwikkbEJsTRct4AYjjDu8HfUqtwMaMjiYjI//H1dGVM1/J0nLCVr/84zrCmzz2+0vVjMLMN+BWCrr+A278cUSUiIn+redFWvHJsKsdOLKdEseZGx5EUksMrBzm8cjzxPneL+8NT9Z6kkG+hv73Pz8MPPw+/ZOf7Dw8PDxo2bEjDhg0ZMWIE/fr144MPPmDjxo0A2O32h+smJCQ8cRuurq4P/9tkMj1y+z/LbDabwzI7ZOKAjRs30r17d6pVq8alS5cAmDlzJps2bXLE5kUklUi0Wmn1y2vcsh9kYODHdClb2+hIIiLyPyoEZGVI4xJMWH+KdcciHr3z1lmY0Qoy5YQei8BDR3WLiCRHteABDIuKI9fpDUZHEXlMYGAgMTEx5MjxoFC7cuXKw/v+e9JzIyW7lPr1119p3Lgxnp6e7Nmzh7i4OADu3r3L559//i+PFpG0wm638+Fv+7l4J5Kuhd5mYOUWRkcSEZG/8WLNwtQunoM35+3n+t0H7824e/VBIeXiAT0Xg5fjvpkVEcmoXF296Fa4JVkOLwMHHj0ikhQ3b96kXr16zJo1iwMHDnDmzBnmz5/PqFGjaNWqFZ6enlSpUoUvvviC8PBwNmzYwHvvvWd0bMABpdSnn37KhAkT+PHHHx85rKtatWrs2bMnuZsXkVTi85U7mbXtCu+HjOad2l2MjiMiIv/AbDbxdceymEwwdMF+7LG3YGZbSIyDnksgs7/REUVE0o17ga340iWafQdnGR1FMihvb28qV67Mt99+S61atShdujTvv/8+/fv3Z+zYsQBMmTKFhIQEKlasyGuvvcann35qcOoHTPb/PqnwGXh5eREeHk7BggXJnDkz+/fvp3Dhwpw+fZrAwEDu37/vqKxpyn8mOr9z5w4+Pj5GxxEns1qtnDhxgmLFimGxWIyOk2yhy75jfcQcXigQxpv1Q4yOI/8lvY01Sd003tKetUcjGDhtI+v9vydn3Hl4YSXkfMI8U6mMxpo4k8abJJfdZqPptLJU8czNh13++Nv1NNZSh3/6rH7//n3OnDlDoUKF8PDwMChh+vC0v8tkHymVO3duTp48+djyTZs2PTJDu4ikTe+s/okNN3+idObGKqRERNKYukWzsDTHBDLdOsqFZjPSRCElIpLWmMxmmvqWYM39yyQmZMyDMkSeVbJLqZdeeonXXnuN7du3YzKZuHz5MrNnz2bIkCEMHDjQERlFxCCjN85n6aXvKeBanzntPjI6joiIJIXNCotepGjsPj7wepcBa03EJ2q+ExGRlNAgsAu3zSb2HNIpfCJJkexSaujQobRu3Zq6desSHR1NrVq16NevHy+99BKvvPKKIzKmKWFhYQQGBhISoiNKJG1bc/QC049/Q05zJRZ2/Aqz2SEX6xQREWew22H5YAhfgqn9FHp3783xa3f5evUxo5OJiKRLgSXakNtq58/ji4yOIpKmOORT5meffcaNGzfYsWMH27Zt4/r163zyySeO2HSaExoaSnh4ODt37jQ6isgz23P+Fq/OOUxp83B+6xSGm4uL0ZFERCQp1nwEu6fB82OgZEtK5/XlzUYlmLThNFtP3TQ6nYhIumMym3kvWyXaXTmtq/CJJIHDDn3w8vKiYsWKVKpUCW9vb0dtVkSc7I8T++j122BK5vFkarfmZHJ3NzqSiIgkxebvYdO30OgzKN/94eL+NQtTuZAfb87bx53YBAMDioikT7XK9aPE7ctwWVehT+uSeT04AWxPWc4+0+EP58+fJyAg4KnXv3TpEnnz5n2WXYmIE20/f5w3Nw7E1cOXH9qXwdNNVwUREUlTdk+H1SOg5hCo9ug0ChaziW86lqPJdxt4b8khfuhcDpPJZFBQEZF0KH9l5mb3x77rOzrn09xSaZGrqysmk4nr16+TI0cOvU4+A7vdTnx8PNevX8dsNuPm5vaP6z9TKRUSEsLzzz9P//79qVSp0hPXuXPnDvPmzeP777/npZde4tVXX32WXYmIkxy+doEXV7+IBU9+eX4KeX39jI4kIiJJcXgxLHsdKvaFeu89cZU8WTz5rE0ZXv15L/Wey0Gb8vmcGlFEJF0zWziSvSA7IvfTyWbDpDlZ0xyLxUK+fPm4ePEiZ8+eNTpOmubl5UVAQMC/zk38TKXUkSNH+Pzzz2nSpAmurq5UrFiRPHny4OHhwa1btwgPD+fw4cNUrFiR0aNH07Rp02d6EiLiHJfv3KL7sr7YTVamNZlK8Ry5jY4kIiJJceov+LUflGoLzb6Cf/hmt2XZPKw9GsGIxYepWMCP/H5eTgwqIpK+NSjSgl/DJ3H89EpKFG1mdBx5Bt7e3hQrVoyEBJ3q/qwsFgsuLi5PdaTZM5VSfn5+fPXVV3z66aesWLGCjRs3cvbsWe7du0f27Nnp1q0bjRs3pnTp0s+yeRFxopi4RF6edRhbYjl+aNmT8nkKGR1JRESS4sJO+KU7FKkLbSbAU3wz/1GrUmw/E8nQBQeY3a8yZrNOTxARcYTKQX3wPjSRNQdnqpRKwywWCxaLpjJxhmRdUsvDw4O2bdvStm1bR+URESeKioulx6z5nIrw5+f+71Imn6/RkUREJCmuhcPs9pA7CDpMB4vrUz0ss4cro9sH0XXydmZtP0fPqgVTNqeISAbh6p6J2m45WH07nIFGhxFJA3SSq0gGdT8hnpa/vMwp8w9827WoCikRkbQm8gzMbAO++aHLL+CWtNPwqhXNTo8qBRi54ijnb8amUEgRkYynR4lOvBFxFfuNk0ZHEUn1VEqJZECJViut5r7OTfs+XnxuBA1LFDE6koiIJMXdqzCz9YMiqsdC8MzyTJsZ1vQ5smd2Y8iC/dhsuvy1iIgjlArqSa0EE6ajy4yOIpLqqZQSyWBsNhsd57/DpcRNdCzwFoOqtjI6koiIJMW9WzCzLSTGQ4/F4J3zmTeVyd2FUe3KsuNMJDO2nnVYRBGRDM3Ni+2FKzP6+Byjk4ikeiqlHCwsLIzAwEBCQkKMjiLyRF+vOcDRqJ00yvUyI+p2NzqOiIgkRcI9mNMZ7l6GHosga4Fkb7JqkWz0qlqAL1Ye5eyNGAeEFBGR63mCmGG5x9Wr+4yOIpKqqZRysNDQUMLDw9m5c6fRUUQeM2XzScLWXOLFwj/wTdOXjY4jIiJJYU2EBX3g6gHotgByPuewTb/d9DlyZvbgLZ3GJyLiELXKv4iL3c5f+340OopIqqZSSiSD+HjtLL469DI9q+XgtfqljI4jIiJJYbfD8jfg+CroOAPyVXTo5r3cXBjdPoidZ28xdctZh25bRCQj8vHNT2VTJtZc3W50FJFUTaWUSAYQtu035p0bTf5MxfiwRUVMJpPRkUREJCnWfgZ7ZkCrMCjWMEV2UblwNl6oXpBRK49y+np0iuxDRCQjaZCnOru4T2TkKaOjiKRaKqVE0rlfDmxg/JEPyGoKYkmn7zCb9b+9iEiasuNH2DAaGn4M5bqk6K6GNn6O3L4evLXgAFadxicikiz1KrzMRzci8Ti1zugoIqmWPp2KpGO7L1zms11vkYmC/NZxAh6ubkZHEhGRpDi8CFa8BVVfgWqDUnx3nm4WRncoy57zt5iy6UyK709EJD3zy1aM1tnK4XV8ldFRRFItlVIi6dSFyFhenhFO9nu9WNRuMlk8MxkdSUREkuLMBlj4IpTpAA0/ASedeh1S0I8+1Qvx1R/HOBmh0/hERJLjQpFafHh7N9F3rxgdRSRVUiklkg4du36Z9nNG4elmZl7PvuTx8TM6koiIJMWV/fBzVyhY48E8Uk4+9XpIoxLkzeLJWwv26zQ+EZFkcCnakF+9vdi4Z6LRUURSJZVSIunM5ahIuiztS6zXasK6P0eOzO5GRxIRkaSIPAOz2kP2YtBxJrg4/9TrB6fxBbHvwm0mbzzt9P2LiKQXufMEU8pmYfX5NUZHEUmVVEqJpCO378XQ5td+JJhu8k3NMErnzmN0JBERSYro6zCrLbhnhm7zwd3bsCjBBfzoX7MwX68+zsmIu4blEBFJ6xpkK8umxFvcv3fL6CgiqU6KlVLXrl3j3r17KbV5Efkf9xPiaTlvADGc5d2KX9GwWDmjI4mISFLE3YXZ7SE+BnoshEzZjU7E4IbFyZfFk7d/PYhNp/GJiDyT+kF9uGc2sXX/T0ZHEUl1UqSUqlChAl27dqVChQoMHjyYuLi4lNiNiPwfm83OsIX7uBkdx8slP6JzUC2jI4mISFIkxsPc7hB5Grr/ClkLGp0IAA9XC5+3LcPuc7eYs+O80XFERNKkQgVr8/59NwKvHDE6ikiqkyKl1I4dO1izZg3h4eHkzZuXxo0bc/v27ZTYlUiGZ7PZGLF8K4v3Xufzat8QWqWl0ZFERCQpbDZY/DKc2wKd54B/GaMTPaJK4Wx0DsnPl78f5eqd+0bHERFJkzoWa0vuk3+BLdHoKCKpSoqUUi4uLgBER0fTsmVLqlevTr169VJiVyIZ3ku/fc3iiDd4q2luWpfPZ3QcERFJqj/ehUO/QrvJUKim0WmeaHjTkri7Wvhg6SGjo4iIpElxxRszxhPOnl9qdBSRVCVFSqlixYqRLVs2SpcuTc+ePTl8+DCVK1dOiV2lOmFhYQQGBhISEmJ0FMkAhq6axLbbMyifpQWhtSsYHUdERJJq6zjYNg6afwWBrYxO87d8vVz56PlSrDp8jZWHrhodR0QkzXHLU4HlmX3ZFPGn0VFEUhWXZ31gdHQ03t5PviLMtm3byJYt2zOHSstCQ0MJDQ0lKioKX19fo+NIOjZ643xWXBlLYfdGTG/zrtFxREQkqcKXwKp3oMYbENLP6DT/qlkZfxqUzMmIJYeoVjQbPh6uRkcSEUkzTGYzDTIXZvndk1gT47FYPI2OJJIqPPORUlmzZuXGjRtPvC+jFlIizrL22AWmH/+aXJbKLOw4CrM5xS6kKSIiKeH8dlj4IpRuB/VGGJ3mqZhMJj5uVZqYuES+/P2o0XFERNKcesXbc9Ni5sDReUZHEUk1nvmTrNVqxWazPbxdvXp1rl275pBQIvL3Dly8zSuzDxNoGs7SjmNxsViMjiQiIklx8xT83BnyVoTW4yANfbGQJ4snQ5s8x+zt59l5NtLoOCIiaUpQYEeyW22sOfar0VFEUg2HvQs6cOAAMTExjtqciDzButOH6L5kCEX9PZjWvTmZ3N2NjiQiIkkRcwNmtYNMOaDzLHBJe3/Hu1cpQLn8WRj26wHiEq1GxxERSTPMZhcGuRaj2bUzYLcbHUckVUg7X82JZHD7rpxl0NqXsXicY0zXUni5PfOUcCIiYoT4WJjTCeJjoNt88MxqdKJnYjGb+KJdGc7djGXc2lNGxxERSVMq5mtFmZvnIeKI0VFEUoVklVJz5sxhz549JCQkAA/mGhARxzsdeY3eK/oBZmY2/4mALDmMjiQiIklhs8LC/hARDt3mQdYCRidKluf8fRhQuwjj1p3kZMRdo+OIiKQZsTmDmZ8lG8t3jzU6ikiq8MylVI0aNfjggw+oWLEi3t7exMbG8u677zJ+/Hi2b9/O/fv3HZlTJMO6GXOXjov7YTXFEFZvPKX9A4yOJCIiSWG3w8rhcGwFdJgGecobncghXqlXlPxZvRj260FsNp2GIiLyNOwWN7Zmy8Psa1uNjiKSKjxzKbVhwwbu3LnD0aNHmT59Om+++SbXrl3j3XffpWrVqvj4+BAUFOTIrCIZTlyildd+Ocz9qKJ8XvV7ahYKNDqSiIgk1bZxsGMiNP8aijc2Oo3DeLha+LxtGXadu8WcHeeNjiMikmbUzluTg+ZErkccNjqKiOGSPadU0aJFyZs3L1WqVGH27NlERkZy6tQpZs+eTYsWLf5fe3ceHlV593/8M5MdskAIW8jCDoZFIAQBAYkLm4KKuFfAgpWCWrW01cf+VKxKtWrVilaKimhdQGXRooDKJoiskSWAoAlhD0tISEK2mfP7g8c8jZCQZWbumcn7dV1zXc7kZOYduTlJvpxzxhWNQL1UUlamiR98ovUZOfrXyD9r5EV9TCcBAGpqxwJpySPSgAek3r82XeNyfds20S0p8Xrm8106kstR8gBQHQMunqgAy9KKtFmmUwDj6jyUatasma6++mrdfffdio+P15133qmmTZvqxhtv1NNPP+2KRqDecTqdGj13qraUPqUnb4hXv3ZNTCcBAGoq6zvpk99IXW+QLn/UdI3bPDz8IoUEBeixRdtNpwCAT2jUqLV6KlQrjqwznQIYV+eh1Lx585SXl6djx45pw4YNyszMVJ8+fXTkyBFX9AH10h3zn9C+0q80qtW9uqlnV9M5AICaOr5Xev8WKS5Fuu5Vye6/b3gc1SBIj49K0pIdR7VkBz//AUB1TGh1ucZkH5CK802nAEbV+Sek1NTU8v/u0aOHvv76a1199dUaMGCADh8+XNenB+qdKZ+9qK35H6t/43F6esgE0zkAgJrKPyb9+wapYVPplnelwBDTRW53dbeWGtypqZ74NF2FJWWmcwDA6w3odbdS8/OkjFWmUwCjXP7PdgUFBZowYYI6duyoIUOGuPrpAb/24cYfteLQQl0UNkqvj5pqOgcAUFMlhWePkCoplG6fJ4U1Nl3kETabTdNGddGx/GK98vVe0zkA4P2atNOKpq21cMcc0yWAUYF1fYI777xTBw8e1IEDB3Tw4EHl5589/NCyLIWGhtY5EKgvvtp5RP/zyW6N6vmUnr+hr+kcAEBNOZ3S/Lul7HRp/H+kxommizwqsUlD/faydnp1xV6N7hWn9s3CTScBgFdbE9NK3+Tu0LWmQwCD6nyk1NGjR5WYmKibbrpJzz33nD799FNt3rxZ2dnZKiwsdEUj4Pf+nbZC962coEGdQvW30X1l9+NrjwCA31r+pLTzU+mGWVKrXqZrjPjt4HZqGRWmxxZtl2VZpnMAwKtdmniFDgRIWVnfmE4BjKnzkVKLFy92RQdQb32+e7P+uvkPCg9J0Is391VgAAMpAPA5ae9Lq5+XrvqL1Plq0zXGhAYFaNqoLrpz9gZ9tvWwRl4cazoJALxWn653KHDXW/om/X3dljDAdA5gBL/9AgZ9l/WD/rjmHgWrqRaOmaWo0AamkwAANbVvrbToXqnnHVL/e03XGJfauZmGJDXXk/9JV34xFz0HgMo0CG+mXgrV2uzNplMAYxhKAYYcyMnTb5ZNkt0K1Qej3lCLiPpxMVwA8Csnf5I+uF1K6Ctd/YJks5ku8gqPjkxS7plSvbjsB9MpAODVbm1xqS4/cVgqKzadAhjBUAowIPdMqSa+nabA3BF6Y+hMdYhpaToJAFBTZ05J791y9h32bpojBQabLvIacY0b6N7LO+ittZnadSTPdA4AeK0re0zU6NwcKWud6RTACIZSLjZjxgwlJSUpJSXFdAq8VE5hvm5892Udyj2j92+/W73j2ptOAgDUlKNUmjdeyj8q3TZXahBtusjr3DWwrRKbNNCjC3Zw0XMAqEzzrtrYuIVWbH/HdAlgBEMpF5syZYrS09O1YcMG0ynwQoWlxRo5d5IOBf5bz94cr47NI0wnAQBqyrKkz/8oZa4+e4RUDP+4cD7BgXb95dquWp95Up9sPmg6BwC8k82m+U3j9I8T/P6I+omhFOAhZQ6Hrv3gdzql7ZrS5UkN65xkOgkAUBvfvS5tfPPsNaTaXma6xqtd2j5G13Rvqemf71TumVLTOQDglS5tNUA/2J3KPrrddArgcQylAA9wOp26cd7DOuxYq1ta/1G/7TPCdBIAoDZ+WCoteVjqd4+UPM50jU/489VJOlPi0PNLd5tOAQCv1K/bWNksS2s5hQ/1EEMpwAP+sXyXdp3YqyHNJ+nPg28znQMAqI2jO6SPfi11GCpd9YTpGp/RIipUD1zVUe+u26ftB3NN5wCA12kc3U5drCCtPczFzlH/MJQC3OyNtTv192UZurvjdL0wfLLpHABAbeRnn32nvcatpRtmSfYA00U+ZVz/1urQLEJ/XrBdTicXPQeAX7qxSU91yTkkOR2mUwCPYigFuNEzq+fphZ2/1pg+YfrdlR1N5wAAaqP0jPTBbZKjWLrtAykk3HSRzwkKsOsv13VV2v5T+nDjftM5AOB1Rvf4jcadyJYOpZlOATyKoRTgJh//tF7vZf5VLYO76a/XXiabzWY6CQBQU5YlLZwiHdkm3fK+FBVnushn9WkTrdG9WumZL3bpZEGJ6RwA8C6temt3w8basv090yWARzGUAtzgkx3f6v2jLynSukgLb/qHAgM4zQMAfNLKZ6TtH0vXvSbFJZuu8XkPD79IDqfFRc8B4JcCAvV6izi9cGS56RLAoxhKAS62++gpPbH+EQU7WmrBmNfUMCTEdBIAoDbSF0orpkupj0hdR5uu8QtNI0J0/5Ud9d76LO04xEXPAeC/9W/RR1tVotzcLNMpgMcwlAJc6EhukX791mZF50/Ucz3+rCYNIkwnAQBq48h2af4kKek6adAfTNf4lbH9EtWuabimLUqXZXHRcwD42aVdbpfTZtN3W+eYTgE8hqEU4CL7Tx3Xde//j5xWqd6943rFhjcynQQAqI2CE9IHt0pN2knXvSpxTUCXCgqw69FrkrQ+86Q+23rYdA4AeI2Wsclq67BpzYGVplMAj2EoBbhATmG+Rn8yUQXBa/TsLQmKbRRmOgkAUBuOUmneOKmkULrlPSm4oekivzSoY1NdldRcTy/eqcKSMtM5AOA1RkV1UvNTh86+0QZQDzCUAuroTGmJRs2dpDO2LD2W8oIGtrnIdBIAoLa+eEjK+la6+R2pUYLpGr/256sv0on8Ev1zxY+mUwDAa0y4+G5NPnpAOsYbQqB+YCgF1IHT6dR1H96vHG3TlKS/aEy3S00nAQBqa+Nb0oZZ0oi/SYn9Tdf4vcQmDXXXoDb656qftP9koekcAPAOiZfqSEgD7dkx13QJ4BEMpYA6+OvnO5WZLd2YMFW/veRq0zkAgNra9620+A9S7wlS71+brqk3Jg9ur8YNgvTUf3aaTgEA7xAUpsdjE/S3rM9MlwAewVAKqKXnv1qnmasz9cc+f9Bjl99hOgcAUFun9ksf/kqKv0Qa/ozpmnqlYUigHh5+kb7YcURr9h43nQMAXqF/04u1ySrUmcKTplMAt2MoBdTC//tytt7aP0k3XWrThAFtTOcAAGqrpFD64DYpqIF009tSQJDponrn2h6xSk5srGmf7lCZw2k6BwCMu7TzTSqx2bRp+79NpwBux1AKqKF/rFuk+Qf+rvigAfrr1cNM5wAAasuypIVTpBN7pVvfkxrGmC6ql2w2m6aN6qI92fl6d90+0zkAYFzb1perhcPSmn3LTKcAbsdQCqiBD7eu0us7H1e07WLNv+kF2e38FQIAn7X6eWnHJ9L1/5RadDNdU691bRWlm3vH64VlP+hkQYnpHAAwyma3a2iDeAWcyjKdArgdv1ED1bT7SJ6eXPdXNbBaa9FNryk0KNh0EgCgtnZ/Ln39pHTZn6Ska03XQNLUoZ1kSXpuKW+DDgBTu0/S1IMZEoMp+DmGUkA1HDx1RuPe3KAWZ36rT26YpUZhDU0nAQBqK3uX9PFdUuerpcseMl2D/xUTHqLfXdFBH6zP0u6jp03nAIBZbS5TgT1Qh9Pnmy4B3IqhFHABGSezde3cSbIHnda7d16luKho00kAgNo6kyN9cKvUKF66/nWJ07C9yth+rRUf3UDPfMHRUgDqubBGmpLQWs/+OM90CeBW/CQGVOF4wWnduGCiigN/0LM3dlLzyFDTSQCA2nKUSfPuPDuYuuU9KSTcdBF+ITjQroeGddbKH45r86FC0zkAYFS/xhdpXdkplZayP4T/YigFVKKguFij5v1GRbZDerLvixrQ+iLTSQCAuvhqmpSxSrrxbSm6jekaVGJY1xbqndhYMzeckMNpmc4BAGMu7XCt8u02bUv/yHQK4DYMpYDzcDicunbufcqzdur+rk/p2qRLTCcBAOpix3xp7cvSkL9IbS8zXYMq2Gw2PTy8kzJzSvTx5oOmcwDAmKRO16mx09I3P35mOgVwG4ZSwC9YlqWnFu/SvgNxuq3tnzQxZajpJABAXWTvlBZMkbqOkfpONl2DaugR30iXtQnXC8v2qKC4zHQOABhhDwjSwOAYnTr1k+kUwG0YSgG/MG3pF3pzzU96dPAd+p/LbjWdAwCoi6Jc6YPbpcatpVEvSzab6SJU0529opVbVKrXV/HLGID668mku/Ro1l6p4LjpFMAtGEoB/2Xa1+/o4yN/1PX9T+uOfq1N5wAA6sLplOZPkgqPS7e8KwU3NF2EGmgREaTx/RI1c9WPOpJbZDoHAIywtbtcDlnK2/OF6RTALer9UOr6669X48aNNWbMmHM+FhgYqB49eqhHjx6aOHGigTp40psbl2pe1vOKDRio56+52XQOAKCuVj8n7f5cGj1Lim5ruga1MHlwWzUIDtTzS3ebTgEAMyJbamxCa72wc47pEsAt6v1Q6r777tOcOef/C96oUSOlpaUpLS1Ns2bN8nAZPGnJni36+7ZHFGl10vyb/y67vd7/1QAA3/bDUmn509Lgh6WOQ0zXoJYiQoN0/5Ud9NHmA9pxKNd0DgAY0TU8XuvOHDadAbhFvf/NOzU1VREREaYzYNDh3DP605cvK8gZo0/G/FMNgkJMJwEA6uLkT9InE6WOQ6VBfzBdgzq6tU+C2sQ01NOLd8qyLNM5AOBxfeMH62CAtH//t6ZTAJfz6qHUqlWrNHLkSMXGxspms2nBggXnbPPqq6+qTZs2Cg0NVXJyslavXu2y18/Ly1NycrIGDBiglStXuux54T3yiko1/s0NapB7q94f9aZaRDQ2nQQAqIuSAumDX0kNmkjXvy5x5KvPCwqw63+GX6Q1e09o+e5s0zkA4HG9u9yqAMvSd7vmmU4BXC7QdEBVCgoKdPHFF+vOO+/UDTfccM7HP/zwQ91///169dVXdemll+r111/X8OHDlZ6eroSEBElScnKyiouLz/ncpUuXKjY2tsrXz8zMVGxsrLZv366rr75a27ZtU2Rk5Hm3LS4urvA6eXl5kiSHwyGHw1Htrxmec6a0WFe/d59OnblEH915k9pHh7vsz8rhcMjpdPJnD7djrcGTvH69WZZsi+6TLSdDzl8vlYIjJG9tRZV+udYGd2yivm2j9fR/durSttEKDGDYCNfx+n0b/EZt11qDhi3UxQrSnqNprFMX4P+hd/HqodTw4cM1fPjwSj/+wgsvaMKECeUXIX/xxRe1ZMkSvfbaa5o+fbokadOmTbV+/Z+HVl27dlVSUpJ++OEH9e7d+7zbTp8+XdOmTTvn8R9//FHh4eG1boB7OJ1O/e67fyjHvkF39EyVlXtYe1x4qQqn06mTJ09q7969XJ8KbsVagyd5+3prvPsDNd/+kQ72f1Knc4Ok3D2mk1BL51trv+rSQPd+elL/WLxZ13SOMlwIf+Lt+zb4j7qstWcaDFCLnxZpzw+7JRvrtC7y8/NNJ+C/ePVQqiolJSXatGmTHnrooQqPDxkyRGvXrq3z8+fk5KhBgwYKCQnRgQMHlJ6errZtK3/nnocfflgPPvhg+f28vDzFx8erXbt2lR5dBXPuXfyyjti/0TUt7tPUK29x+fM7HA7t3btX7du3V0BAgMufH/gZaw2e5NXrbd8a2dNelrPvFLW4YrJamO5BnZxvrXXoIF1/wKn3th3XxKt6KCLUZ3+MhZfx6n0b/Eqd1lrQGAXsnKO2EUUKaHmxewLriZ/PaoJ38Nnv5sePH5fD4VDz5s0rPN68eXMdOXKk2s8zdOhQbd68WQUFBYqLi9P8+fOVkpKinTt36u6775bdbpfNZtNLL72k6OjoSp8nJCREISHnXiA7ICCAb25e5sW1C7TqxFtKajhKfx16l9tex2638+cPj2CtwZO8cr3lHZI+/rWU2F+2q56QvKkNtXa+tfaHYZ21ePsKzVydoT8O62ywDv7GK/dt8Eu1XWtWwiW6oVWsRqa9qvFxvDN8XfD33Lv47FDqZzabrcJ9y7LOeawqS5YsOe/j/fv317Zt2+rUBu+z41CuZi7PVmzcIL03+gnTOQCAunKUSvPulAKCpTFvSQE+/6MNqtAyKkx3DWyrmat+0u19E9WqUZjpJADwCFtQqGKCI7TuxDaNNx0DuJDPnowaExOjgICAc46Kys7OPufoKUCS9hw7oglvr1PbyIu06NYXFciEHAB837LHpIMbpRtnS+FNTdfAA+6+rJ0iQoP0ty92mU4BAI/q26SbNjsLVFpcYDoFcBmfHUoFBwcrOTlZy5Ytq/D4smXL1L9/f0NV0owZM5SUlKSUlBRjDThXTmG+bvl0oooava83xqWoQTD/kg4APm/HAmndDGnIU1J8H9M18JDwkEA9cFUHLfz+kNIPcV0QAPXHJe1H6ozdpu93zjOdAriMVw+l8vPzlZaWprS0NElSRkaG0tLSlJWVJUl68MEHNWvWLL355pvauXOnHnjgAWVlZWnSpEnGmqdMmaL09HRt2LDBWAMqKnM4dP28e1VsO6S/DJ6s5pGhppMAAHV1fK+08B6py/XSJXebroGH3dQ7Xq2bNNSzSzhaCkD90bnDNYpyWtqYcf5L0AC+yKsPF9m4caNSU1PL7//87nbjxo3T7NmzdfPNN+vEiRN64okndPjwYXXt2lWLFy9WYmKiqWR4oTs+mabj1iZN6Pi4Rl7Ev6QDgM8rKZTm3iFFtJBG/UOqwbUk4R+CAuyaOqSTpry3Wet+OqG+bZuYTgIAt7MHBOrDsC5qefK46RTAZbx6KDV48GBZllXlNpMnT9bkyZM9VARfM2v9Sm0vnK8BTcbrgUtHm84BANSVZUn/eVDKyZTu+loKiTBdBENGdGuh7nFR+uvnuzR/cv8avdENAPiqVu2HSv+ZKhXlSaGRpnOAOvPq0/eAujiQU6iXFp/RRbYH9erVD5jOAQC4wqbZ0vfvSyNfkppdZLoGBtlsNv1pWGel7T+lpelHTecAgEecjuutX7WI0eq0N0ynAC7BUAp+qbC0WBPm/luRocH615hfyW5nqQOAzzu0Rfr8j1LvX0vdbzJdAy9wafsYDewQo78t2a0yh9N0DgC4XXizrjoWFKK1WV+bTgFcgt/UXYx33/MO4+c/oYMhr+ix61soqkGQ6RwAQF0VnpTmjpWad5GG/dV0DbzIH4d21t7sfH2y+aDpFABwO5vdrkvCWmhd/j7TKYBLMJRyMd59z7xX1n2qnWcWaWCTcRrSKcl0DgCgrpxOacFvz14/48a3pcAQ00XwIt3ionR195b6+5c/qKjUYToHANyub2x/7Q2wdCx7h+kUoM4YSsGvbD2SqdfTn1SU1V3/GPE70zkAAFdY83fphy+k0f+SGvMOuzjX1CGddOx0seZ8m2k6BQDcrk+XWyVJG3bONVwC1B1DKfiNModTU/7zrGwK1ruj/q7AgADTSQCAuspYJX39pDRwqtRxiOkaeKk2MQ11c0q8Ziz/UblnSk3nAIBbxcR01luFoRqck206BagzhlLwGy9+uUeHfhqqJ/u+rNbRzUznAADqKu+Q9NGvpdYDpdT/MV0DL/e7KzqouMyh11f+aDoFANyud2KqGmSuMZ0B1BlDKfiFtzZ9pdfWfqMHr+yiUUk9TecAAOrKUSrNu1OyB0o3vCHZOfoVVWsWGapfX9pGb67JUHZekekcAHCrA7FddV9wgQ4dXG86BagThlLwebuOHdAL3/9ZLVqv0G8va2c6BwDgCl8+Lh3cKN04WwpvaroGPuLuy9opJDBAL321x3QKALhVRJvBWtEgTN/t/Mh0ClAnDKVcbMaMGUpKSlJKSorplHrB6XRq4n/+KMmm2SOfld1uM50EAKir9EXSt69IVz0hJfQ1XQMfEhUWpCmp7fTBhv3KOF5gOgcA3CYqKkEXWYFaf5R3fYdvYyjlYlOmTFF6ero2bGDn4AmPfPmmcm3bdFfnP6lDTEvTOQCAujqZIS2cIl00Suo72XQNfNDYfq3VLCJEzy3dbToFANzqkoi2Wl98TJbTaToFqDWGUvBZmSfy9GnW22oVMEj39b/WdA4AoK7KiqV546UG0dK1r0g2jn5FzYUGBeiBKzvqP1sPa9uBXNM5AOA2fRJTlR1gU+a+laZTgFpjKAWfZFmW/jx/p8JP3K83R/3FdA4AwBWWPSplp5+9jlRolOka+LDRvVqpfbNwPfPFLtMpAOA2vbrcqqeP56jJkR2mU4BaYygFn/TPdSv1zU9Zmn7dQMVGRpvOAQDUVfoi6bt/SkOekmJ5F1XUTWCAXVOHdNI3e4/rmz3HTecAgFs0aBCjkY27KjLrO9MpQK0xlILPOZafp9d2/lltO32p1E7NTOcAAOoqJ1NaeI900Uipz12ma+AnhnZprp4JjfS3JbtkWZbpHABwix9addf0E+vldJSZTgFqhaEUfM69n/9NTluBnrniD6ZTAAB1VVYizbtTCmskjeI6UnAdm82mqUM66fsDufpyZ7bpHABwi9zmnfVew2D9sHex6RSgVhhKudiMGTOUlJSklJQU0yl+aXVGurYXfKpeUTcoJa696RwAQF0te1Q6su3sdaTCGpmugZ/p366JLmkTrReW/SCnk6OlAPifiy+6USFOS9/t/cx0ClArDKVcbMqUKUpPT9eGDRtMp/gdy7L00MonZXdE6eXhD5jOAQDU1c7PpO9ek4Y8KbXqZboGfshms+n3Qzpp5+E8fbHjiOkcAHC54JAI9bQ30PoT20ynALXCUAo+48ud2Tq8b4DuTnpYjcIams4BANRFzj5p4WSp8zXSJXebroEf69MmWgM7xOjvy36Qg6OlAPihSxpfpI2O0yotLTSdAtQYQyn4hNNFRZr22TYNiO+tyX2Hms4BANRFWYn00Z1SaJR07QyuIwW3+/2QTtqTna/Pth4ynQIALnd5pxs0OeeUyg5uNp0C1BhDKfiEez9/XjmRL+nP13SSjV9eAMC3ffm4dHirNGY215GCR/SIb6QrOjfTi1/uUZnDaToHAFyqbfsRGlckhWWtM50C1BhDKXi9jQf2auOpj9SlSXd1bBZlOgcAUBe7/iOtmyEN+YsUl2y6BvXIA1d1VMbxAn2y5aDpFABwrYBA7UpM1icZXOwcvoehFLze1K+elN1qqH8M/6PpFABAXeTskxb89n+vIzXJdA3qma6tojSsSwu9/NUelZRxtBQA/7K+cXM97Tyu4qJc0ylAjTCUgld7ff1indAmjWkzSc3DOUoKAHxWWYn00a+lkCjp2le4jhSMeOCqjjp46ozmbdpvOgUAXOqS9qNUbLdp6855plOAGmEoBa9VUubUnO92K8LRU3++7DbTOQCAuvhqmnT4e+nG2VJYY9M1qKc6tYjQyO6xeuXrvSoqdZjOAQCX6dBumBo5La3LXGY6BagRhlIuNmPGDCUlJSklJcV0is/793f7dPhQR70x/BXZ7SxVAPBZuz+Xvn1Fumoa15GCcb+7soOO5hXpg/VZplMAwGXsAYFKCWys9bl7TKcANcJv+i42ZcoUpaena8OGDaZTfFpuUaFe3vKiRvRoqItaRprOAQDUVu4Baf4kqdMIqe9k0zWA2jUN1/U94/TK8h91poSjpQD4jxGxA5SSd1JWUZ7pFKDaGErBK01b/pZKw5fr5j7NTKcAAGrLUSZ9fJcUHC5dO4PrSMFr/O6KDjpVWKJ31mWaTgEAl7ny4gm672SObPu/M50CVBtDKXid08Vn9OXhD9QioJ8GtkkynQMAqK1Vf5P2r5NumCU1iDZdA5RLaNJAN/aO0z9X/qT84jLTOQDgGk3a6adGsdq8+xPTJUC1MZSC13lixRw57bl6pP89plMAALWVuUZa9ax02UNSYj/TNcA57rm8g/KLyvT22kzTKQDgGjabZjVtqb8e+9Z0CVBtDKXgVUrKyrT0wPtqau+t1HbdTOcAAGqj8KT0yV1SQj9p0FTTNcB5tWoUplv7xOv1lT8q90yp6RwAcIk+LVK0y1am3FOZplOAamEoBa+yND1bp7Pu0CP9fm86BQBQG5YlLbpXKi2URv9LsgeYLgIqNSW1vYrLnHrjmwzTKQDgEn0uulGWzaaNOz4wnQJUC0MpeA2n06mZq/aqb1wXXdmhi+kcAEBtbJgl7frs7IXNo1qZrgGq1CwyVHf0TdSb32Qop6DEdA4A1FlsbG/FO6R1B1aZTgGqhaEUvMZ7W1dqb/DjuvGSCNMpAIDaOLpDWvKIlHKX1Plq0zVAtUwa3E5Oy9LM1T+ZTgEAlxjWIEGN8o6azgCqhaEUvMbM799ScECARnbpbDoFAFBTJYXSvDulJu2lIX8xXQNUW0x4iMb2a62312bqJEdLAfAD93X+laYc3Hv2Go+Al2MoBa+wOiNdJ600DYu/SYEBXH8EAHzOkoelU1nSmDeloDDTNUCN3DWwjSxLmsXRUgD8QWJ/Hbfblb13qekS4IIYSrnYjBkzlJSUpJSUFNMpPuXZdf+SzdlQDw+63XQKAKCmdsyXNs2Whv9VasbRrvA9TcJDNLZfot5em8m1pQD4vkYJujWuleb8wMXO4f0YSrnYlClTlJ6erg0bNphO8RnH888oI3+rejW6RlGhDUznAABq4lSWtOh3UtJ1Uq9xpmuAWrtrUFs5LfFOfAB8n82mXiEx2nx6n+kS4IIYSsG4DzccVMm+B/T05feYTgEA1ISjTPp4ohQaJY18SbLZTBcBtRYTHqJf9U3Q7LWZOlXI0VIAfFty0x5Kt5WqMD/bdApQJYZSMCq/uEhvfrdRN/RKUKtGUaZzAAA1sfKv0oGN0g2zpLBGpmuAOvvNoHYqczr1JkdLAfBxvTuMlMNmU9quj0ynAFViKAWjnln9gYpbPK1RyQ1NpwAAaiJjtbTqOSn1YSnhEtM1gEs0jQjR7Zck6q01mcotLDWdAwC11iYxVXFlTmUf3mQ6BagSQykY43Q69Z99HypKXdUvsZ3pHABAdRWekD65S2o9QBrwoOkawKXuvqytShxOvbmGo6UA+C6b3a7FDXvouuOHTacAVWIoBWPe3vKVSgMPaHyXsaZTAADVZVmyL7pXKiuWRs+U7AGmiwCXahYRqtsuSdCbazKUe4ajpQD4LlvrASo+sFFlxfmmU4BKMZSCMW9um6PAslhNSB5iOgUAUE2N98yTbc8X0nWvSpGxpnMAt5h0WTsVlzk1e02m6RQAqLWMJq3VL76Ztu1eYDoFqBRDKRixJztP2aeCdE3i7bLbWYYA4BOObFfTtJflTPmN1Gm46RrAbZpHhuq2Pgl645uflFfE0VIAfFN861QFWtKWfV+bTgEqxTQARsxes08R+bfpz4NvN50CAKiOkgLZP5mgksjWsq583HQN4HaTLmunolKn3uZoKQA+KjAoVN3tYdqSs8t0ClAphlLwuMyT2Zq/d55uvaSFQgK5FgkA+ITP/yTlHdSh/k9KgaGmawC3axEVqlv6xGvWNxk6zdFSAHxUz8j2SnPkyXI6TacA58VQCh737Jp/yx6zSNf1ijGdAgCojh0LpC3vyBo6XSWRrU3XAB7z28HtdKbEoTnf7jOdAgC10jNugHJt0oH935hOAc6LoRQ8bv2x5Wps76Z2TVqYTgEAXEjuQenT30kXjZLV41emawCPahkVpptS4vSv1T8pv7jMdA4A1FhK0i1ak3VI8ScyTacA58VQCh616eCPKg7I0JXxvOMeAHg9p1Na8FspKEwa+ZJks5kuAjxu8uD2Kigu0/vfZZlOAYAaC2rYRBFNk6Ss70ynAOfFUMrFZsyYoaSkJKWkpJhO8UqzNi+U5QzU3SnXmE4BAFzIuhlSxkrputekBtGmawAjYhuF6fqerfSv1T+pqNRhOgcAauzjZq00/sRq0xnAeTGUcrEpU6YoPT1dGzZsMJ3ilfYeCFdiwLVqEdHYdAoAoCqHt0pfPSH1u0dql2q6BjBq0mXtdCy/WB9tOmA6BQBqLCymszYFWjp5cq/pFOAcDKXgMftPFmrPvla6++LfmE4BAFSl9Iz08UQpppN0xaOmawDj2jYN14huLfXPlT+qzME7WAHwLT07jJIkpe36xHAJcC6GUvCYGd99qtDIPbqiczPTKQCAqix7VDq1T7rhX1JgiOkawCtMHtxOB3LO6NOth0ynAECNtIxNVnOHpbRD35pOAc7BUAoes+zwHLVo9b0ahgSaTgEAVGbPMmn9TOmqJ6RmF5muAbxGl9gopXZqqleX/yin0zKdAwA10jM4WltO7zOdAZyDoRQ8Yl3WbpUEZGlo66GmUwAAlck/Ji2YLLW/UurDqdbAL01Jba892flatvOo6RQAqJHfJgzXU0cOSaVFplOAChhKwSNmbVkgyxmk36RcbToFAHA+liUtuleyHNK1r0o2m+kiwOv0bh2tS9pE69Xle2VZHC0FwHe0bT9cCcVnpENbTKcAFTCUgkdsPrFSzQJ6qkmDCNMpAIDz2fSW9MPn0qhXpIjmpmsArzUltb2+P5CrNXtPmE4BgOpr3lUvxDTVovR3TJcAFTCUgtv9eOy0Th/vpuvbjzGdAgA4n+N7pC/+R0oeL3UeYboG8GoDO8SoW6sozVjOW6sD8CEBgdoZ0VjLjqWZLgEqYCgFt/ti+1EF5adqYu8hplMAAL9UViJ9PFGKaiUNfdp0DeD1bDabpqS207c/ndCmfTmmcwCg2npGtleaI0+W02k6BSjHUApu996uOerX2amw4ADTKQCAX1oxXTq6XRr9Lym4oekawCcMSWqhdk0b6rUVHC0FwHf0iB+oU3abMvatMJ0ClGMoBbda8dN25TWYr4sSzphOAQD8UuYa6Zu/S6n/I7XqZboG8Bl2u02TB7fXlzuztfNwnukcAKiWizuPlt2ylLZ3sekUoBxDKbjV7O8XynKG6K7ew02nAAD+25lT0vy7pcT+0qX3m64BfM6oHrFq1ShMr6340XQKAFRLw/AWeqy0gXrmHTedApRjKAW3+v7kKrUITFZUaAPTKQCA/7Z4qlSUJ13/T8nO6dVATQUF2DXpsrb6bOshZR4vMJ0DANUyOnaQ2hzcajoDKMdQCm7z9Y9bVRZ4SCPaDjWdAgD4b1vnStvmSVc/LzVKMF0D+Kwbe8crumGIXl/F0VIAfMPxll31T+cx5ZzgmnjwDgyl4DZr95yWTqVqQvIw0ykAgJ/l7JP+83up241S9xtN1wA+LTQoQBMHttFHmw7oSG6R6RwAuKDSFt00o3Ejbd79sekUQBJDKbjRyvQyXdXi15y6BwDewumQ5k+SQqOkEc+ZrgH8wu2XJCgsKEAzV/1kOgUALqhlbLKaOyylHVpnOgWQxFAKbrLipx3KLFusK7s0Mp0CAPjZN3+Xsr6Vrn9dCmtkugbwCxGhQRrfv7XeX5+lE/nFpnMA4IJ6BTfRltP7TGcAkhhKwU1mbflIoTFfa1CHFqZTAACSdHCztGK6NOABqfWlpmsAv3LnpW1ks0mz12aaTgGAC+oR01XpthIVF50ynQIwlIJ7bD+1Wi2Deys8JNR0CgCgpED65C6peVdp8MOmawC/07hhsG7rk6DZazN1uqjUdA4AVKlv+2t0c95pFR3YYDoFYCjlajNmzFBSUpJSUlJMpxizOiNdjsCjGtb6KtMpAABJWvI/Ut4h6YZZUmCw6RrAL00c2FZFpQ59sH6/6RQAqFLbNlfpT/llijq8zXQKwFDK1aZMmaL09HRt2FB/p87vbf9CljNQ43oxlAIA43b9R9o0Wxr6tBTTwXQN4LdaRIVq1MWt9OaaDJU6nKZzAKByAYE60OpifbPvK9MlAEMpuN7+w02UaBujJg0iTKcAQP12+qi06F6p09VS8njTNYDf+82gtjqcW6RPvz9kOgUAqrQoMkoPle6T01FmOgX1HEMpuFROQYl2ZjbV7RfdYToFAOo3y5IWTpbsgdKolyWbzXQR4Pc6tYhQaqemmrnqJ1mWZToHACrVI36gcu02ZWatNJ2Ceo6hFFxq9uavZAvfrMs7NzWdAgD12/qZ0t4vpWtflRrGmK4B6o3fDGqnXUdOa+UPx0ynAEClLu48WnbL0pa9i02noJ5jKAWXWpQxT41arFOLqDDTKQBQf2XvkpY9KvW5W+pwpekaoF7p2zZa3eOiNHPVT6ZTAKBSDcNbqJMVqC3HvjedgnqOoRRcpqC4WMccW9WtcX/TKQBQf5WVSPN/IzVKlK6aZroGqHdsNpt+M6it1v54QtsP5prOAYBKXR7eRo3zOaoTZjGUgsu8t3WFbPZi3dxlmOkUAKi/Vj4jHd0hjZ4pBXHUKmDCsC4tFB8dptc5WgqAF5vU+Xb9/lCmlJ9tOgX1GEMpuMzXmWskR4SGtO9hOgUA6qes76RvXpAGPyTF9jBdA9RbgQF23TWwrRZvO6z9JwtN5wDA+SX0VY7druM/fmm6BPUYQym4TE5OM7UNukZ2O8sKADyuOF+af7fUKlm69AHTNUC9d2NyvCJDA/XGNxmmUwDg/KLidHNcK739w1zTJajHmB7AJYpKHfppXzuNbneb6RQAqJ+WPiLlH5Wuf10KCDRdA9R7YcEBuqNfa324Yb9yCkpM5wDAefUIbqLN+VmmM1CPMZSCSyz9YbscoelKTow0nQIA9c8PS6RNs6WhT0lN2pmuAfC/xvVLlNOy9O66faZTAOC8esR0VbqtREVnckynoJ5iKAWX+OSHz9Sg1Yfq1JyhFAB4VMFxaeE9UochUvKdpmsA/Jcm4SEakxynt7/NVFGpw3QOAJyjZ5shKrPZtOOHRaZTUE8xlIJL7D71vRrZOyookFNGAMBjLEv69HeSs0wa9Ypks5kuAvALdw1sqxMFJfpk80HTKQBwjg5th6qJw6nDB9ebTkE9xVAKdVZYWqzT2quk6B6mUwCgfvn+fWnXZ9LIl6SI5qZrAJxH65iGGtalhf61+ic5nJbpHACoIDAoVF8HtNc1p46bTkE9xVAKdbZ410bZ7KW6qk0/0ykAUH/k7JMW/1G6+FYpaZTpGgBV+M2gtso4XqBl6UdNpwDAOeyJ/VSatU6Wg9OM4XkMpVBn2w6dkLOwvUZ07m06BQDqB6dTWjBZCmskDX/GdA2AC+iZ0Fh9Wkdr5qofTacAwDl2NGqp/s3DlZG10nQK6iGGUqizA4dbqmfQQ2oQFGI6BQDqh3UzpH1rpOtek0KjTNcAqIbfDGqrzVmntDHzpOkUAKggoe2VKrLbtS1jqekU1EMMpVAnZQ6H1h/aqt6t+aUIADzi6A7pqyekflOkNgNN1wCopss7N1P7ZuF6fdVPplMAoIKIyFZq47BpW/b3plNQDzGUQp0s+zFNavWiGkcfMJ0CAP6vrFj65DdSk/bS5f/PdA2AGrDbbfrNwLZaln5Ue7PzTecAQAXdQptq65nDpjNQDzGUQp18sXetLCtA117ERc4BwO2WPy0d2y1d/7oUFGq6BkANXdszVs0iQjRrNUdLAfAu3Zt00R5bmYqLTplOQT3DUAp1svX4FjVwtlajsIamUwDAv+1bK615Sbr8Ealld9M1AGohJDBA4y9trU82H9Sx08WmcwCg3IjOt2h51kGFZO8ynYJ6hqEUas3pdOp42S61i+CXIwBwq6I8af7dUkJfqf99pmsA1MHtfRIVYLfpnXX7TKcAQLmIuBQ1sgdLBzaaTkE9w1AKtfb9oYNyloVoYEIf0ykA4N+WPCwVnjz7bnv2ANM1AOogqkGQbuwdp3+v26eiUofpHAA4KyBIr7Zqq2cy5psuQT3DUAq1tvuQpTMZU/Wr7kNMpwCA/9r1H2nLu9Kw6VJ0G9M1AFzgzkvb6GRhiRamHTSdAgDlCsKbaXlxtukM1DMMpVBra386qC6xUYoMCzadAgD+Kf+YtOg+qdMIqecdpmsAuEibmIa6onNzvfFNhizLMp0DAJKkbs2TdTBAOnF8t+kU1CMMpVBrKwoeUsPmX5nOAAD/ZFnSp/97/aiRL0s2m9keAC41YUAb/XA0X6v3HDedAgCSpO7tR0iStu351HAJ6hOGUqiVTQd/lBV4UimxXU2nAIB/+v4DafdiaeRLUnhT0zUAXKxv22gltYzUG99kmE4BAElSyxa91MRhaevh9aZTUI8wlEKtfLp7jSTp+qQBhksAwA/lHZa++JPU/WbpomtM1wBwA5vNpgkD2mjlD8e0N/u06RwAkM1u19MhbXT9afZJ8Jx6P5S6/vrr1bhxY40ZM+acj2VkZCg1NVVJSUnq1q2bCgoKDBR6pw1HNiqwrKXaRjc3nQIA/sWypE9/JwWGSsP+aroGgBuNvDhWzSJC9MY3maZTAECS1D/+MsUf2i45naZTUE/U+6HUfffdpzlz5pz3Y+PHj9cTTzyh9PR0rVy5UiEhIR6u816HCn9SXIMk0xkA4H++f1/as+TsaXsNok3XAHCj4EC7xvZL1CebD+hkQYnpHADQiWad9ExDu/bv/8Z0CuqJej+USk1NVURExDmP79ixQ0FBQRo4cKAkKTo6WoGBgZ7O80rH84uVs/du3dFpiukUAPAveYekzx+Sut8idRpuugaAB9x2SaIk6d/r9hkuAQApODZZ/46M0Ka9/zGdgnrCq4dSq1at0siRIxUbGyubzaYFCxacs82rr76qNm3aKDQ0VMnJyVq9erVLXnvPnj0KDw/XqFGj1KtXLz399NMueV5/sP6nE5LsGtQu3nQKAPiPn0/bCwqThnPaHlBfRDcM1uhecZqzbp+KyxymcwDUcxGRsWpj2bXt2PemU1BPePWhPwUFBbr44ot155136oYbbjjn4x9++KHuv/9+vfrqq7r00kv1+uuva/jw4UpPT1dCQoIkKTk5WcXFxed87tKlSxUbG1vpa5eWlmr16tVKS0tTs2bNNGzYMKWkpOiqq6467/bFxcUVXicvL0+S5HA45HD41w8Ys9JfVnSbQ2oaPszvvjZXcTgccjqd/P+B27HW/Ift+/dk37NUjpvfk4IjJS/8M2W9wVPq21ob3y9B76/P0qK0gxrds5XpnHqnvq03mOMra61rSFNtPXPE6ztry1+/Ll/l1UOp4cOHa/jwyk9feOGFFzRhwgRNnDhRkvTiiy9qyZIleu211zR9+nRJ0qZNm2r12nFxcUpJSVF8/NmjgUaMGKG0tLRKh1LTp0/XtGnTznn8xx9/VHh4eK0avFVGfpoaB8drz549plO8ltPp1MmTJ7V3717Z7V59QCJ8HGvNPwQWZqvN5w8pt/VwHba1k7x0/8p6g6fUx7XWu1WY/vn1bnVtWCCbzWY6p16pj+sNZvjKWmsdnKD/lBzVjh0bFRwcZTrH5fLz800n4L949VCqKiUlJdq0aZMeeuihCo8PGTJEa9eurfPzp6Sk6OjRo8rJyVFUVJRWrVqlu+++u9LtH374YT344IPl9/Py8hQfH6927dopMjKyzj3e4mDuSZUGHtIlsWPUoUMH0zley+FwaO/evWrfvr0CAgJM58CPsdb8gGXJ/sEjUki4wsfMUIewRqaLKsV6g6fUx7V2r62xxr21UScCm6hf2yamc+qV+rjeYIavrLUQ+82y/vOlEsJOK6Jtb9M5LvfzWU3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      "text/plain": [
       "<Figure size 1200x800 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "from jetset.plot_sedfit import PlotSED\n",
    "my_plot=PlotSED()\n",
    "my_plot=my_jet.plot_model(plot_obj=my_plot)\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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      "text/plain": [
       "<Figure size 1200x800 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "my_plot=my_jet.plot_model(frame='src')\n",
    "my_plot.setlim(y_max=1E45,y_min=1E38,x_min=1E8)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1200x800 with 2 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "my_plot=my_jet.plot_model(frame='src',density=True)\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Sum\n",
      "Sync\n",
      "SSC\n"
     ]
    }
   ],
   "source": [
    "my_jet.list_spectral_components()\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "metadata": {},
   "outputs": [],
   "source": [
    "Sync=my_jet.spectral_components.Sync\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "metadata": {},
   "outputs": [],
   "source": [
    "Sync=my_jet.get_spectral_component_by_name('Sync')\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "metadata": {},
   "outputs": [],
   "source": [
    "nu_sync=Sync.SED.nu\n",
    "nuFnu_sync=Sync.SED.nuFnu"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "metadata": {},
   "outputs": [],
   "source": [
    "nu_sync_src=Sync.SED.nu_src\n",
    "nuLnu_sync_src=Sync.SED.nuLnu_src"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "metadata": {},
   "outputs": [],
   "source": [
    "my_jet.spectral_components.build_table(restframe='obs')\n",
    "t_obs=my_jet.spectral_components.table"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 25,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<i>Table length=50</i>\n",
       "<table id=\"table140621714968000\" class=\"table-striped table-bordered table-condensed\">\n",
       "<thead><tr><th>nu</th><th>Sum</th><th>Sync</th><th>SSC</th></tr></thead>\n",
       "<thead><tr><th>Hz</th><th>erg / (cm2 s)</th><th>erg / (cm2 s)</th><th>erg / (cm2 s)</th></tr></thead>\n",
       "<thead><tr><th>float64</th><th>float64</th><th>float64</th><th>float64</th></tr></thead>\n",
       "<tr><td>1000000.0</td><td>0.0</td><td>0.0</td><td>0.0</td></tr>\n",
       "<tr><td>3026648.059395689</td><td>0.0</td><td>0.0</td><td>0.0</td></tr>\n",
       "<tr><td>9160598.47544371</td><td>1.8603797396558676e-27</td><td>1.8603797396558676e-27</td><td>0.0</td></tr>\n",
       "<tr><td>27725907.59860481</td><td>5.1595363417357764e-26</td><td>5.1595363417357764e-26</td><td>0.0</td></tr>\n",
       "<tr><td>83916564.42830162</td><td>1.431379827478216e-24</td><td>1.431379827478216e-24</td><td>0.0</td></tr>\n",
       "<tr><td>253985906.87807292</td><td>3.9735563564626905e-23</td><td>3.9735563564626905e-23</td><td>0.0</td></tr>\n",
       "<tr><td>768725952.1663721</td><td>1.1046717952023323e-21</td><td>1.1046717952023323e-21</td><td>0.0</td></tr>\n",
       "<tr><td>2326662911.331458</td><td>3.080805682170684e-20</td><td>3.080805682170684e-20</td><td>0.0</td></tr>\n",
       "<tr><td>7041989785.449296</td><td>8.644485946297075e-19</td><td>8.644485946297075e-19</td><td>0.0</td></tr>\n",
       "<tr><td>...</td><td>...</td><td>...</td><td>...</td></tr>\n",
       "<tr><td>1.7317171337233599e+25</td><td>8.215170127233826e-14</td><td>0.0</td><td>8.215170127233826e-14</td></tr>\n",
       "<tr><td>5.2412983022060615e+25</td><td>5.0064656764602724e-14</td><td>0.0</td><td>5.0064656764602724e-14</td></tr>\n",
       "<tr><td>1.5863565335085865e+26</td><td>2.2032108833042557e-14</td><td>0.0</td><td>2.2032108833042557e-14</td></tr>\n",
       "<tr><td>4.801342923653465e+26</td><td>6.823069626704561e-15</td><td>0.0</td><td>6.823069626704561e-15</td></tr>\n",
       "<tr><td>1.4531975242368953e+27</td><td>1.4136805292714239e-15</td><td>0.0</td><td>1.4136805292714239e-15</td></tr>\n",
       "<tr><td>4.3983174666502106e+27</td><td>1.9532706759307126e-16</td><td>0.0</td><td>1.9532706759307126e-16</td></tr>\n",
       "<tr><td>1.3312159025043105e+28</td><td>1.7769601809721487e-17</td><td>0.0</td><td>1.7769601809721487e-17</td></tr>\n",
       "<tr><td>4.029122027951344e+28</td><td>9.162225441406983e-19</td><td>0.0</td><td>9.162225441406983e-19</td></tr>\n",
       "<tr><td>1.2194734366967333e+29</td><td>0.0</td><td>0.0</td><td>0.0</td></tr>\n",
       "<tr><td>3.690916910662782e+29</td><td>0.0</td><td>0.0</td><td>0.0</td></tr>\n",
       "</table>"
      ],
      "text/plain": [
       "<Table length=50>\n",
       "          nu                    Sum           ...          SSC          \n",
       "          Hz               erg / (cm2 s)      ...     erg / (cm2 s)     \n",
       "       float64                float64         ...        float64        \n",
       "---------------------- ---------------------- ... ----------------------\n",
       "             1000000.0                    0.0 ...                    0.0\n",
       "     3026648.059395689                    0.0 ...                    0.0\n",
       "      9160598.47544371 1.8603797396558676e-27 ...                    0.0\n",
       "     27725907.59860481 5.1595363417357764e-26 ...                    0.0\n",
       "     83916564.42830162  1.431379827478216e-24 ...                    0.0\n",
       "    253985906.87807292 3.9735563564626905e-23 ...                    0.0\n",
       "     768725952.1663721 1.1046717952023323e-21 ...                    0.0\n",
       "     2326662911.331458  3.080805682170684e-20 ...                    0.0\n",
       "     7041989785.449296  8.644485946297075e-19 ...                    0.0\n",
       "                   ...                    ... ...                    ...\n",
       "1.7317171337233599e+25  8.215170127233826e-14 ...  8.215170127233826e-14\n",
       "5.2412983022060615e+25 5.0064656764602724e-14 ... 5.0064656764602724e-14\n",
       "1.5863565335085865e+26 2.2032108833042557e-14 ... 2.2032108833042557e-14\n",
       " 4.801342923653465e+26  6.823069626704561e-15 ...  6.823069626704561e-15\n",
       "1.4531975242368953e+27 1.4136805292714239e-15 ... 1.4136805292714239e-15\n",
       "4.3983174666502106e+27 1.9532706759307126e-16 ... 1.9532706759307126e-16\n",
       "1.3312159025043105e+28 1.7769601809721487e-17 ... 1.7769601809721487e-17\n",
       " 4.029122027951344e+28  9.162225441406983e-19 ...  9.162225441406983e-19\n",
       "1.2194734366967333e+29                    0.0 ...                    0.0\n",
       " 3.690916910662782e+29                    0.0 ...                    0.0"
      ]
     },
     "execution_count": 25,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "t_obs[::10]\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 26,
   "metadata": {},
   "outputs": [],
   "source": [
    "my_jet.spectral_components.build_table(restframe='src')\n",
    "t_src=my_jet.spectral_components.table"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 27,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/latex": [
       "$[0,~0,~1.1611577 \\times 10^{-24},~3.2203293 \\times 10^{-23},~8.9339702 \\times 10^{-22},~2.4800988 \\times 10^{-20},~6.894819 \\times 10^{-19},~1.9228877 \\times 10^{-17},~5.3954637 \\times 10^{-16},~1.439719 \\times 10^{-14},~1.4724294 \\times 10^{-13},~4.3081138 \\times 10^{-13},~7.9304756 \\times 10^{-13},~1.3786969 \\times 10^{-12},~2.388583 \\times 10^{-12},~4.1130803 \\times 10^{-12},~6.9784192 \\times 10^{-12},~1.1471237 \\times 10^{-11},~1.7776511 \\times 10^{-11},~2.5247891 \\times 10^{-11},~3.2686208 \\times 10^{-11},~3.8509885 \\times 10^{-11},~4.1105436 \\times 10^{-11},~3.9867003 \\times 10^{-11},~3.5113825 \\times 10^{-11},~2.7967606 \\times 10^{-11},~2.0195405 \\times 10^{-11},~1.3222962 \\times 10^{-11},~7.8224764 \\times 10^{-12},~4.1874255 \\times 10^{-12},~2.0302231 \\times 10^{-12},~8.8898466 \\times 10^{-13},~3.5162291 \\times 10^{-13},~1.256826 \\times 10^{-13},~3.9983064 \\times 10^{-14},~1.0001713 \\times 10^{-14},~1.0060628 \\times 10^{-15},~3.4708297 \\times 10^{-18},~1.592186 \\times 10^{-25},~0,~0,~0,~0,~0,~0,~0,~0,~0,~0,~0] \\; \\mathrm{\\frac{GeV}{s\\,cm^{2}}}$"
      ],
      "text/plain": [
       "<Quantity [0.00000000e+00, 0.00000000e+00, 1.16115770e-24, 3.22032929e-23,\n",
       "           8.93397018e-22, 2.48009881e-20, 6.89481903e-19, 1.92288766e-17,\n",
       "           5.39546375e-16, 1.43971905e-14, 1.47242935e-13, 4.30811381e-13,\n",
       "           7.93047558e-13, 1.37869693e-12, 2.38858295e-12, 4.11308030e-12,\n",
       "           6.97841919e-12, 1.14712371e-11, 1.77765107e-11, 2.52478913e-11,\n",
       "           3.26862082e-11, 3.85098848e-11, 4.11054360e-11, 3.98670033e-11,\n",
       "           3.51138251e-11, 2.79676055e-11, 2.01954050e-11, 1.32229620e-11,\n",
       "           7.82247636e-12, 4.18742550e-12, 2.03022312e-12, 8.88984658e-13,\n",
       "           3.51622913e-13, 1.25682603e-13, 3.99830638e-14, 1.00017129e-14,\n",
       "           1.00606284e-15, 3.47082969e-18, 1.59218601e-25, 0.00000000e+00,\n",
       "           0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n",
       "           0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n",
       "           0.00000000e+00, 0.00000000e+00] GeV / (cm2 s)>"
      ]
     },
     "execution_count": 27,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "t_obs['Sync'][::10].to('GeV/cm2 s')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 28,
   "metadata": {},
   "outputs": [],
   "source": [
    "t_src.write('test_SED.txt',format='ascii.ecsv',overwrite=True)\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 29,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<i>Table length=37</i>\n",
       "<table id=\"table140621641260912-4368\" class=\"table-striped table-bordered table-condensed\">\n",
       "<thead><tr><th>name</th><th>type</th><th>units</th><th>val</th></tr></thead>\n",
       "<tr><td>BulkLorentzFactor</td><td></td><td></td><td>1.000000e+01</td></tr>\n",
       "<tr><td>U_e</td><td>Energy dens. blob rest. frame</td><td>erg / cm3</td><td>4.950261e-01</td></tr>\n",
       "<tr><td>U_p_cold</td><td>Energy dens. blob rest. frame</td><td>erg / cm3</td><td>1.503276e-01</td></tr>\n",
       "<tr><td>U_B</td><td>Energy dens. blob rest. frame</td><td>erg / cm3</td><td>1.591549e-03</td></tr>\n",
       "<tr><td>U_p</td><td>Energy dens. blob rest. frame</td><td>erg / cm3</td><td>0.000000e+00</td></tr>\n",
       "<tr><td>U_p_target</td><td>Energy dens. blob rest. frame</td><td>erg / cm3</td><td>0.000000e+00</td></tr>\n",
       "<tr><td>U_Synch</td><td>Energy dens. blob rest. frame</td><td>erg / cm3</td><td>1.316122e-02</td></tr>\n",
       "<tr><td>U_Synch_DRF</td><td>Energy dens. disk rest. frame</td><td>erg / cm3</td><td>1.316122e+02</td></tr>\n",
       "<tr><td>U_Disk</td><td>Energy dens. blob rest. frame</td><td>erg / cm3</td><td>0.000000e+00</td></tr>\n",
       "<tr><td>U_BLR</td><td>Energy dens. blob rest. frame</td><td>erg / cm3</td><td>0.000000e+00</td></tr>\n",
       "<tr><td>U_DT</td><td>Energy dens. blob rest. frame</td><td>erg / cm3</td><td>0.000000e+00</td></tr>\n",
       "<tr><td>U_CMB</td><td>Energy dens. blob rest. frame</td><td>erg / cm3</td><td>0.000000e+00</td></tr>\n",
       "<tr><td>U_Disk_DRF</td><td>Energy dens. disk rest. frame</td><td>erg / cm3</td><td>0.000000e+00</td></tr>\n",
       "<tr><td>U_BLR_DRF</td><td>Energy dens. disk rest. frame</td><td>erg / cm3</td><td>0.000000e+00</td></tr>\n",
       "<tr><td>U_DT_DRF</td><td>Energy dens. disk rest. frame</td><td>erg / cm3</td><td>0.000000e+00</td></tr>\n",
       "<tr><td>U_CMB_DRF</td><td>Energy dens. disk rest. frame</td><td>erg / cm3</td><td>0.000000e+00</td></tr>\n",
       "<tr><td>L_Sync_rf</td><td>Lum. blob rest. frme.</td><td>erg / s</td><td>1.652654e+39</td></tr>\n",
       "<tr><td>L_SSC_rf</td><td>Lum. blob rest. frme.</td><td>erg / s</td><td>2.158648e+39</td></tr>\n",
       "<tr><td>L_EC_Disk_rf</td><td>Lum. blob rest. frme.</td><td>erg / s</td><td>0.000000e+00</td></tr>\n",
       "<tr><td>L_EC_BLR_rf</td><td>Lum. blob rest. frme.</td><td>erg / s</td><td>0.000000e+00</td></tr>\n",
       "<tr><td>L_EC_DT_rf</td><td>Lum. blob rest. frme.</td><td>erg / s</td><td>0.000000e+00</td></tr>\n",
       "<tr><td>L_EC_CMB_rf</td><td>Lum. blob rest. frme.</td><td>erg / s</td><td>0.000000e+00</td></tr>\n",
       "<tr><td>L_pp_gamma_rf</td><td>Lum. blob rest. frme.</td><td>erg / s</td><td>0.000000e+00</td></tr>\n",
       "<tr><td>jet_L_Sync</td><td>jet Lum.</td><td>erg / s</td><td>4.131634e+40</td></tr>\n",
       "<tr><td>jet_L_SSC</td><td>jet Lum.</td><td>erg / s</td><td>5.396619e+40</td></tr>\n",
       "<tr><td>jet_L_EC_Disk</td><td>jet Lum.</td><td>erg / s</td><td>0.000000e+00</td></tr>\n",
       "<tr><td>jet_L_EC_BLR</td><td>jet Lum.</td><td>erg / s</td><td>0.000000e+00</td></tr>\n",
       "<tr><td>jet_L_EC_DT</td><td>jet Lum.</td><td>erg / s</td><td>0.000000e+00</td></tr>\n",
       "<tr><td>jet_L_EC_CMB</td><td>jet Lum.</td><td>erg / s</td><td>0.000000e+00</td></tr>\n",
       "<tr><td>jet_L_pp_gamma</td><td>jet Lum.</td><td>erg / s</td><td>0.000000e+00</td></tr>\n",
       "<tr><td>jet_L_rad</td><td>jet Lum.</td><td>erg / s</td><td>9.528254e+40</td></tr>\n",
       "<tr><td>jet_L_kin</td><td>jet Lum.</td><td>erg / s</td><td>6.047641e+42</td></tr>\n",
       "<tr><td>jet_L_tot</td><td>jet Lum.</td><td>erg / s</td><td>6.157838e+42</td></tr>\n",
       "<tr><td>jet_L_e</td><td>jet Lum.</td><td>erg / s</td><td>4.638913e+42</td></tr>\n",
       "<tr><td>jet_L_B</td><td>jet Lum.</td><td>erg / s</td><td>1.491449e+40</td></tr>\n",
       "<tr><td>jet_L_p_cold</td><td>jet Lum.</td><td>erg / s</td><td>1.408728e+42</td></tr>\n",
       "<tr><td>jet_L_p</td><td>jet Lum.</td><td>erg / s</td><td>0.000000e+00</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(\"$('#table140621641260912-4368').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",
       "    $('#table140621641260912-4368').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: [3], type: \"optionalnum\"}]\n",
       "    });\n",
       "});\n",
       "</script>\n"
      ],
      "text/plain": [
       "<IPython.core.display.HTML object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "my_jet.energetic_report()\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 30,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<i>Table length=37</i>\n",
       "<table id=\"table140621641260912\" class=\"table-striped table-bordered table-condensed\">\n",
       "<thead><tr><th>name</th><th>type</th><th>units</th><th>val</th></tr></thead>\n",
       "<thead><tr><th>str17</th><th>str29</th><th>object</th><th>float64</th></tr></thead>\n",
       "<tr><td>BulkLorentzFactor</td><td></td><td></td><td>1.000000e+01</td></tr>\n",
       "<tr><td>U_e</td><td>Energy dens. blob rest. frame</td><td>erg / cm3</td><td>4.950261e-01</td></tr>\n",
       "<tr><td>U_p_cold</td><td>Energy dens. blob rest. frame</td><td>erg / cm3</td><td>1.503276e-01</td></tr>\n",
       "<tr><td>U_B</td><td>Energy dens. blob rest. frame</td><td>erg / cm3</td><td>1.591549e-03</td></tr>\n",
       "<tr><td>U_p</td><td>Energy dens. blob rest. frame</td><td>erg / cm3</td><td>0.000000e+00</td></tr>\n",
       "<tr><td>U_p_target</td><td>Energy dens. blob rest. frame</td><td>erg / cm3</td><td>0.000000e+00</td></tr>\n",
       "<tr><td>U_Synch</td><td>Energy dens. blob rest. frame</td><td>erg / cm3</td><td>1.316122e-02</td></tr>\n",
       "<tr><td>U_Synch_DRF</td><td>Energy dens. disk rest. frame</td><td>erg / cm3</td><td>1.316122e+02</td></tr>\n",
       "<tr><td>U_Disk</td><td>Energy dens. blob rest. frame</td><td>erg / cm3</td><td>0.000000e+00</td></tr>\n",
       "<tr><td>U_BLR</td><td>Energy dens. blob rest. frame</td><td>erg / cm3</td><td>0.000000e+00</td></tr>\n",
       "<tr><td>...</td><td>...</td><td>...</td><td>...</td></tr>\n",
       "<tr><td>jet_L_EC_DT</td><td>jet Lum.</td><td>erg / s</td><td>0.000000e+00</td></tr>\n",
       "<tr><td>jet_L_EC_CMB</td><td>jet Lum.</td><td>erg / s</td><td>0.000000e+00</td></tr>\n",
       "<tr><td>jet_L_pp_gamma</td><td>jet Lum.</td><td>erg / s</td><td>0.000000e+00</td></tr>\n",
       "<tr><td>jet_L_rad</td><td>jet Lum.</td><td>erg / s</td><td>9.528254e+40</td></tr>\n",
       "<tr><td>jet_L_kin</td><td>jet Lum.</td><td>erg / s</td><td>6.047641e+42</td></tr>\n",
       "<tr><td>jet_L_tot</td><td>jet Lum.</td><td>erg / s</td><td>6.157838e+42</td></tr>\n",
       "<tr><td>jet_L_e</td><td>jet Lum.</td><td>erg / s</td><td>4.638913e+42</td></tr>\n",
       "<tr><td>jet_L_B</td><td>jet Lum.</td><td>erg / s</td><td>1.491449e+40</td></tr>\n",
       "<tr><td>jet_L_p_cold</td><td>jet Lum.</td><td>erg / s</td><td>1.408728e+42</td></tr>\n",
       "<tr><td>jet_L_p</td><td>jet Lum.</td><td>erg / s</td><td>0.000000e+00</td></tr>\n",
       "</table>"
      ],
      "text/plain": [
       "<Table length=37>\n",
       "       name                    type               units       val     \n",
       "      str17                   str29               object    float64   \n",
       "----------------- ----------------------------- --------- ------------\n",
       "BulkLorentzFactor                                         1.000000e+01\n",
       "              U_e Energy dens. blob rest. frame erg / cm3 4.950261e-01\n",
       "         U_p_cold Energy dens. blob rest. frame erg / cm3 1.503276e-01\n",
       "              U_B Energy dens. blob rest. frame erg / cm3 1.591549e-03\n",
       "              U_p Energy dens. blob rest. frame erg / cm3 0.000000e+00\n",
       "       U_p_target Energy dens. blob rest. frame erg / cm3 0.000000e+00\n",
       "          U_Synch Energy dens. blob rest. frame erg / cm3 1.316122e-02\n",
       "      U_Synch_DRF Energy dens. disk rest. frame erg / cm3 1.316122e+02\n",
       "           U_Disk Energy dens. blob rest. frame erg / cm3 0.000000e+00\n",
       "            U_BLR Energy dens. blob rest. frame erg / cm3 0.000000e+00\n",
       "              ...                           ...       ...          ...\n",
       "      jet_L_EC_DT                      jet Lum.   erg / s 0.000000e+00\n",
       "     jet_L_EC_CMB                      jet Lum.   erg / s 0.000000e+00\n",
       "   jet_L_pp_gamma                      jet Lum.   erg / s 0.000000e+00\n",
       "        jet_L_rad                      jet Lum.   erg / s 9.528254e+40\n",
       "        jet_L_kin                      jet Lum.   erg / s 6.047641e+42\n",
       "        jet_L_tot                      jet Lum.   erg / s 6.157838e+42\n",
       "          jet_L_e                      jet Lum.   erg / s 4.638913e+42\n",
       "          jet_L_B                      jet Lum.   erg / s 1.491449e+40\n",
       "     jet_L_p_cold                      jet Lum.   erg / s 1.408728e+42\n",
       "          jet_L_p                      jet Lum.   erg / s 0.000000e+00"
      ]
     },
     "execution_count": 30,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "my_jet.energetic_report_table\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 31,
   "metadata": {},
   "outputs": [],
   "source": [
    "my_jet.save_model('test_model.pkl')\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 32,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<i>Table length=11</i>\n",
       "<table id=\"table140621223702976-94398\" class=\"table-striped table-bordered table-condensed\">\n",
       "<thead><tr><th>model name</th><th>name</th><th>par type</th><th>units</th><th>val</th><th>phys. bound. min</th><th>phys. bound. max</th><th>log</th><th>frozen</th></tr></thead>\n",
       "<tr><td>jet_leptonic</td><td>gmin</td><td>low-energy-cut-off</td><td>lorentz-factor*</td><td>1.000000e+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>1.000000e+08</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+03</td><td>0.000000e+00</td><td>--</td><td>False</td><td>False</td></tr>\n",
       "<tr><td>jet_leptonic</td><td>gamma0_log_parab</td><td>turn-over-energy</td><td>lorentz-factor*</td><td>5.000000e+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>2.000000e+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>jet_leptonic</td><td>R</td><td>region_size</td><td>cm</td><td>1.000000e+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>2.000000e-01</td><td>0.000000e+00</td><td>--</td><td>False</td><td>False</td></tr>\n",
       "<tr><td>jet_leptonic</td><td>beam_obj</td><td>beaming</td><td>lorentz-factor*</td><td>1.000000e+01</td><td>1.000000e-04</td><td>--</td><td>False</td><td>False</td></tr>\n",
       "<tr><td>jet_leptonic</td><td>z_cosm</td><td>redshift</td><td></td><td>1.000000e-01</td><td>0.000000e+00</td><td>--</td><td>False</td><td>False</td></tr>\n",
       "</table><style>table.dataTable {clear: both; width: auto !important; margin: 0 !important;}\n",
       ".dataTables_info, .dataTables_length, .dataTables_filter, .dataTables_paginate{\n",
       "display: inline-block; margin-right: 1em; }\n",
       ".paginate_button { margin-right: 5px; }\n",
       "</style>\n",
       "<script>\n",
       "\n",
       "var astropy_sort_num = function(a, b) {\n",
       "    var a_num = parseFloat(a);\n",
       "    var b_num = parseFloat(b);\n",
       "\n",
       "    if (isNaN(a_num) && isNaN(b_num))\n",
       "        return ((a < b) ? -1 : ((a > b) ? 1 : 0));\n",
       "    else if (!isNaN(a_num) && !isNaN(b_num))\n",
       "        return ((a_num < b_num) ? -1 : ((a_num > b_num) ? 1 : 0));\n",
       "    else\n",
       "        return isNaN(a_num) ? -1 : 1;\n",
       "}\n",
       "\n",
       "require.config({paths: {\n",
       "    datatables: 'https://cdn.datatables.net/1.10.12/js/jquery.dataTables.min'\n",
       "}});\n",
       "require([\"datatables\"], function(){\n",
       "    console.log(\"$('#table140621223702976-94398').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",
       "    $('#table140621223702976-94398').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": [
    "my_jet_new=Jet.load_model('test_model.pkl')\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 33,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1200x800 with 2 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "my_plot=my_jet_new.plot_model()\n",
    "my_plot.setlim(y_max=1E-11,y_min=3E-17,x_min=1E8)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Define custom emiotters distribution"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "See for more details:\n",
    "\n",
    "-     https://jetset.readthedocs.io/en/latest/user_guide/custom_emitters_distr/custom_emitters.html"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 34,
   "metadata": {},
   "outputs": [],
   "source": [
    "from jetset.jet_emitters import EmittersDistribution\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 35,
   "metadata": {},
   "outputs": [],
   "source": [
    "def distr_func_super_exp(gamma,gamma_cut,s,a):\n",
    "    return np.power(gamma,-s)*np.exp(-(1/a)*(gamma/gamma_cut)**a)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": 36,
   "metadata": {},
   "outputs": [],
   "source": [
    "n_e_super_exp=EmittersDistribution('super_exp',spectral_type='plc',normalize=False)\n",
    "n_e_super_exp.add_par('gamma_cut',par_type='turn-over-energy',val=50000.,vmin=1., vmax=None, unit='lorentz-factor')\n",
    "n_e_super_exp.add_par('s',par_type='LE_spectral_slope',val=2.3,vmin=-10., vmax=10, unit='')\n",
    "n_e_super_exp.add_par('a',par_type='spectral_curvature',val=1.8,vmin=0., vmax=100., unit='')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 37,
   "metadata": {},
   "outputs": [],
   "source": [
    "n_e_super_exp.set_distr_func(distr_func_super_exp)\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 38,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<i>Table length=6</i>\n",
       "<table id=\"table140621690522544-744339\" class=\"table-striped table-bordered table-condensed\">\n",
       "<thead><tr><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>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>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>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>gamma_cut</td><td>turn-over-energy</td><td>lorentz-factor*</td><td>5.000000e+04</td><td>1.000000e+00</td><td>--</td><td>False</td><td>False</td></tr>\n",
       "<tr><td>s</td><td>LE_spectral_slope</td><td></td><td>2.300000e+00</td><td>-1.000000e+01</td><td>1.000000e+01</td><td>False</td><td>False</td></tr>\n",
       "<tr><td>a</td><td>spectral_curvature</td><td></td><td>1.800000e+00</td><td>0.000000e+00</td><td>1.000000e+02</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(\"$('#table140621690522544-744339').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",
       "    $('#table140621690522544-744339').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: [3, 4, 5], type: \"optionalnum\"}]\n",
       "    });\n",
       "});\n",
       "</script>\n"
      ],
      "text/plain": [
       "<IPython.core.display.HTML object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "n_e_super_exp.parameters.show_pars()\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 39,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 800x600 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "p=n_e_super_exp.plot()\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 40,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 800x600 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "p=n_e_super_exp.plot(energy_unit='eV')\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 41,
   "metadata": {},
   "outputs": [],
   "source": [
    "from jetset.jet_model import Jet\n",
    "my_jet=Jet(electron_distribution=n_e_super_exp)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 42,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "False"
      ]
     },
     "execution_count": 42,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "n_e_super_exp.normalize"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 43,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "False"
      ]
     },
     "execution_count": 43,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "my_jet.electron_distribution.normalize"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 44,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n",
      "--------------------------------------------------------------------------------\n",
      "jet model description\n",
      "--------------------------------------------------------------------------------\n",
      "name: jet_leptonic  \n",
      "\n",
      "electrons distribution:\n",
      " type: super_exp  \n",
      " gamma energy grid size:  201\n",
      " gmin grid : 2.000000e+00\n",
      " gmax grid : 1.000000e+06\n",
      " normalization  False\n",
      " log-values  False\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"
     ]
    },
    {
     "data": {
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       "<i>Table length=11</i>\n",
       "<table id=\"table140621206021696-900755\" 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>beam_obj</td><td>beaming</td><td>lorentz-factor*</td><td>1.000000e+01</td><td>1.000000e-04</td><td>--</td><td>False</td><td>False</td></tr>\n",
       "<tr><td>jet_leptonic</td><td>z_cosm</td><td>redshift</td><td></td><td>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>5.000000e+04</td><td>0.000000e+00</td><td>--</td><td>False</td><td>False</td></tr>\n",
       "<tr><td>jet_leptonic</td><td>gamma_cut</td><td>turn-over-energy</td><td>lorentz-factor*</td><td>5.000000e+04</td><td>1.000000e+00</td><td>--</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>2.300000e+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>a</td><td>spectral_curvature</td><td></td><td>1.800000e+00</td><td>0.000000e+00</td><td>1.000000e+02</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(\"$('#table140621206021696-900755').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",
       "    $('#table140621206021696-900755').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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       "<IPython.core.display.HTML object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "--------------------------------------------------------------------------------\n"
     ]
    }
   ],
   "source": [
    "my_jet.parameters.N.val=5E4\n",
    "my_jet.show_model()\n",
    "my_jet.IC_nu_size=100\n",
    "my_jet.eval()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 45,
   "metadata": {},
   "outputs": [],
   "source": [
    "my_jet.eval()\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 46,
   "metadata": {},
   "outputs": [
    {
     "data": {
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      "text/plain": [
       "<Figure size 1200x800 with 2 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "p=my_jet.plot_model()\n",
    "p.setlim(y_min=1E-16,y_max=1E-12)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 47,
   "metadata": {},
   "outputs": [],
   "source": [
    "my_jet.electron_distribution.normalize=True"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 48,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n",
      "--------------------------------------------------------------------------------\n",
      "jet model description\n",
      "--------------------------------------------------------------------------------\n",
      "name: jet_leptonic  \n",
      "\n",
      "electrons distribution:\n",
      " type: super_exp  \n",
      " gamma energy grid size:  201\n",
      " gmin grid : 2.000000e+00\n",
      " gmax grid : 1.000000e+06\n",
      " normalization  True\n",
      " log-values  False\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"
     ]
    },
    {
     "data": {
      "text/html": [
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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>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>beam_obj</td><td>beaming</td><td>lorentz-factor*</td><td>1.000000e+01</td><td>1.000000e-04</td><td>--</td><td>False</td><td>False</td></tr>\n",
       "<tr><td>jet_leptonic</td><td>z_cosm</td><td>redshift</td><td></td><td>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>5.000000e+04</td><td>0.000000e+00</td><td>--</td><td>False</td><td>False</td></tr>\n",
       "<tr><td>jet_leptonic</td><td>gamma_cut</td><td>turn-over-energy</td><td>lorentz-factor*</td><td>5.000000e+04</td><td>1.000000e+00</td><td>--</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>2.300000e+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>a</td><td>spectral_curvature</td><td></td><td>1.800000e+00</td><td>0.000000e+00</td><td>1.000000e+02</td><td>False</td><td>False</td></tr>\n",
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       "        pageLength: 100,\n",
       "        lengthMenu: [[10, 25, 50, 100, 500, 1000, -1], [10, 25, 50, 100, 500, 1000, 'All']],\n",
       "        pagingType: \"full_numbers\",\n",
       "        columnDefs: [{targets: [4, 5, 6], type: \"optionalnum\"}]\n",
       "    });\n",
       "});\n",
       "</script>\n"
      ],
      "text/plain": [
       "<IPython.core.display.HTML object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "--------------------------------------------------------------------------------\n"
     ]
    }
   ],
   "source": [
    "\n",
    "my_jet.parameters.N.val=5E4\n",
    "my_jet.show_model()\n",
    "my_jet.IC_nu_size=100\n",
    "my_jet.eval()\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 49,
   "metadata": {},
   "outputs": [],
   "source": [
    "my_jet.plot_model(p,comp='Sum',label='Normalized distr')\n",
    "p.setlim(y_min=1E-16,y_max=1E-12)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 50,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1200x800 with 2 Axes>"
      ]
     },
     "execution_count": 50,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "p.fig"
   ]
  },
  {
   "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": "3.10.14"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 4
}