{
 "cells": [
  {
   "cell_type": "markdown",
   "id": "b4140c78",
   "metadata": {},
   "source": [
    "# Visualizing the PyQSOFit output fits files\n",
    "\n",
    "## Learning Goals\n",
    "- know about the output fits file structure as well as how to visualize/read the spectral fitting results\n",
    "\n",
    "## Introduction \n",
    "\n",
    "SDSS-V DR19 quasar catalog include ~80k objects with detailed spectral parameters of DR19 quasars using the latest version of [PyQSOFit](https://github.com/legolason/PyQSOFit) with host decomposition priors. The recipe are similar to what we have described in the [SDSS DR16Q catalog](https://iopscience.iop.org/article/10.3847/1538-4365/ac9ead/meta) and [DESI EDR catalog](https://iopscience.iop.org/article/10.3847/2515-5172/acf580/meta). Please also refer to [DR16Q github](https://github.com/QiaoyaWu/sdss4_dr16q_tutorial/tree/main) for more information.\n",
    "\n",
    "Each objects in the DR19 quasar VAC is associated with a PyQSOFit output FITS file for further sanity check. Here we demonstrate the FITS file structure as well as the visualization.\n"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "5a09fa9b",
   "metadata": {},
   "source": [
    "## Import packages\n",
    "\n",
    "This tutorial requires four commonly used python packages\n",
    "\n",
    "- ``numpy`` for doing large array operations\n",
    "- ``matplotlib`` for plotting\n",
    "- ``astropy`` for reading fits table\n",
    "- ``scipy`` for computing the line properties\n",
    "\n",
    "Missing packages can be installed via ``!pip install [package]``"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "id": "951d906b",
   "metadata": {},
   "outputs": [],
   "source": [
    "# import packages\n",
    "\n",
    "import os,sys,time\n",
    "import numpy as np\n",
    "from astropy.io import fits\n",
    "import matplotlib.pyplot as plt\n",
    "import warnings\n",
    "warnings.filterwarnings(\"ignore\")\n",
    "from scipy import interpolate\n",
    "from scipy import integrate\n",
    "from astropy.table import Table\n",
    "from astropy.cosmology import FlatLambdaCDM\n",
    "cosmo = FlatLambdaCDM(H0=70, Om0=0.3)\n",
    "from astropy.modeling.physical_models import BlackBody\n",
    "from astropy import constants as const\n",
    "from astropy import units as u"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "e61012a8",
   "metadata": {},
   "source": [
    "set up parameters for plotting"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "id": "95f7cadf",
   "metadata": {},
   "outputs": [],
   "source": [
    "def set_mpl_style(fsize=15, tsize=18, tdir='in', major=5.0, minor=3.0, lwidth=1.8, lhandle=2.0):\n",
    "    \"\"\"Function to set MPL style\"\"\"\n",
    "\n",
    "    plt.style.use('default')\n",
    "    plt.rcParams['text.usetex'] = False\n",
    "    plt.rcParams[\"axes.axisbelow\"] = False\n",
    "    plt.rcParams['font.size'] = fsize\n",
    "    plt.rcParams['legend.fontsize'] = tsize\n",
    "    plt.rcParams['xtick.direction'] = tdir\n",
    "    plt.rcParams['ytick.direction'] = tdir\n",
    "    plt.rcParams['ytick.right'] = True\n",
    "    plt.rcParams['xtick.top'] = True\n",
    "    plt.rcParams['xtick.major.size'] = major\n",
    "    plt.rcParams['xtick.minor.size'] = minor\n",
    "    plt.rcParams['ytick.major.size'] = major\n",
    "    plt.rcParams['ytick.minor.size'] = minor\n",
    "    plt.rcParams['xtick.major.width'] = lwidth\n",
    "    plt.rcParams['xtick.minor.width'] = lwidth\n",
    "    plt.rcParams['ytick.major.width'] = lwidth\n",
    "    plt.rcParams['ytick.minor.width'] = lwidth\n",
    "    plt.rcParams['axes.linewidth'] = lwidth\n",
    "    plt.rcParams['legend.handlelength'] = lhandle\n",
    "    return\n",
    "\n",
    "set_mpl_style(major=8.0,minor=4.0,lwidth=1.2)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "b287318a",
   "metadata": {},
   "source": [
    "## Reading the FITS file\n",
    "\n",
    "You will need the PyQSOFit output FITS file ready before continue.\n",
    "\n",
    "\n",
    "Although the VAC is not necessary needed, it contains already computed line properties for this one object for direct use. \n",
    "\n",
    "The SDSS DR19Q VAC ``DR19Q_prop-v6_1_3.fits`` can be downloaded at [here](https://data.sdss.org/sas/dr19/vac/bhm/qso-properties/1.0.1/DR19Q_prop-v6_1_3.fits) (335 MB)."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "id": "c3c83a28",
   "metadata": {},
   "outputs": [],
   "source": [
    "# read in the SDSS-V quasar catalog\n",
    "sdss5_cat = fits.getdata('DR19Q_prop-v6_1_3.fits', 1)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "6cadc937",
   "metadata": {},
   "source": [
    "This is the object FITS file which associated to the 'FITS_FILE' column in the SDSS-V quasar catalog.\n",
    "\n",
    "The data product for each quasar objects in this VAC will be publically available after SDSS DR19 published. Please follow the associated [repo](https://github.com/QiaoyaWu/SDSSV_DR19_QSO_VAC/tree/main) for more information.\n",
    "\n",
    "The output FITS file for the object demonstrated in this tutorial can be access through [here](https://github.com/QiaoyaWu/SDSSV_DR19_QSO_VAC/blob/main/op_102359-60089-27021598149616104.fits).\n",
    "\n",
    "Please have the output FITS file ready and update the path."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "id": "0d934dca",
   "metadata": {},
   "outputs": [],
   "source": [
    "obj = '102359-60089-27021598149616104'\n",
    "specpath = f\"op_{obj}.fits\""
   ]
  },
  {
   "cell_type": "markdown",
   "id": "0727b5dd",
   "metadata": {},
   "source": [
    "print the computed properties from the VAC"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "id": "e3a2221b",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div><i>Table length=1</i>\n",
       "<table id=\"table139909137486752\" class=\"table-striped table-bordered table-condensed\">\n",
       "<thead><tr><th>FIELD</th><th>MJD</th><th>CATALOGID</th><th>FITS_FILE</th><th>VERSION</th><th>RA</th><th>DEC</th><th>NEXP</th><th>EXPTIME</th><th>PROGRAMNAME</th><th>SURVEY</th><th>Z_PIPE</th><th>FIRSTCARTON</th><th>OBJTYPE</th><th>CLASS</th><th>SUBCLASS</th><th>VI_REMARK</th><th>Z_VI</th><th>Z_FIT</th><th>Z_SYS</th><th>Z_SYS_ERR</th><th>SN_RATIO_CONTI</th><th>EBV</th><th>CONTI_PARA</th><th>CONTI_PARA_ERR</th><th>FE_UV_PARA</th><th>FE_UV_PARA_ERR</th><th>FE_OP_PARA</th><th>FE_OP_PARA_ERR</th><th>LOGL1350</th><th>LOGL1350_ERR</th><th>LOGL1700</th><th>LOGL1700_ERR</th><th>LOGL2500</th><th>LOGL2500_ERR</th><th>LOGL3000</th><th>LOGL3000_ERR</th><th>LOGL4200</th><th>LOGL4200_ERR</th><th>LOGL5100</th><th>LOGL5100_ERR</th><th>CONTI_NPIX</th><th>FRAC_HOST_4200</th><th>FRAC_HOST_5100</th><th>DN4000</th><th>HOST_DECOMP_PARA</th><th>HALPHA</th><th>HALPHA_ERR</th><th>HALPHA_BR</th><th>HALPHA_BR_ERR</th><th>HALPHA_NA</th><th>HALPHA_NA_ERR</th><th>NII6549</th><th>NII6549_ERR</th><th>NII6585</th><th>NII6585_ERR</th><th>SII6718</th><th>SII6718_ERR</th><th>SII6732</th><th>SII6732_ERR</th><th>HBETA</th><th>HBETA_ERR</th><th>HBETA_BR</th><th>HBETA_BR_ERR</th><th>HEII4687</th><th>HEII4687_ERR</th><th>HEII4687_BR</th><th>HEII4687_BR_ERR</th><th>OIII5007</th><th>OIII5007_ERR</th><th>OIII5007C</th><th>OIII5007C_ERR</th><th>OIII4960</th><th>OIII4960_ERR</th><th>OIII4960C</th><th>OIII4960C_ERR</th><th>HGAMMA</th><th>HGAMMA_ERR</th><th>HDELTA</th><th>HDELTA_ERR</th><th>CAII3934</th><th>CAII3934_ERR</th><th>OII3728</th><th>OII3728_ERR</th><th>NEV3426</th><th>NEV3426_ERR</th><th>MGII</th><th>MGII_ERR</th><th>MGII_BR</th><th>MGII_BR_ERR</th><th>CIII_BR</th><th>CIII_BR_ERR</th><th>SIIII1892</th><th>SIIII1892_ERR</th><th>ALIII1857</th><th>ALIII1857_ERR</th><th>NIII1750</th><th>NIII1750_ERR</th><th>CIV</th><th>CIV_ERR</th><th>HEII1640</th><th>HEII1640_ERR</th><th>HEII1640_BR</th><th>HEII1640_BR_ERR</th><th>SIIV_OIV</th><th>SIIV_OIV_ERR</th><th>OI1304</th><th>OI1304_ERR</th><th>LYA</th><th>LYA_ERR</th><th>NV1240</th><th>NV1240_ERR</th><th>Ha_STAT</th><th>Hb_STAT</th><th>Hr_STAT</th><th>Hd_STAT</th><th>MgII_STAT</th><th>CIII_STAT</th><th>CIV_STAT</th><th>SiIV_STAT</th><th>Lya_STAT</th><th>CaII_STAT</th><th>OII_STAT</th><th>NeV_STAT</th><th>LOGLBOL</th><th>LOGLBOL_ERR</th><th>LOGMBH_HB</th><th>LOGMBH_HB_ERR</th><th>LOGMBH_MGII</th><th>LOGMBH_MGII_ERR</th><th>LOGMBH_CIV</th><th>LOGMBH_CIV_ERR</th><th>LOGMBH</th><th>LOGMBH_ERR</th><th>LOGLLEDD_RATIO</th><th>LOGLLEDD_RATIO_ERR</th><th>ZSYS_BEST</th><th>ZSYS_BEST_ERR</th><th>ZSYS_WEIGHT</th><th>ZSYS_WEIGHT_ERR</th><th>ZSYS_LINES</th><th>ZSYS_LINES_ERR</th></tr></thead>\n",
       "<thead><tr><th>int64</th><th>int64</th><th>int64</th><th>str40</th><th>str40</th><th>float64</th><th>float64</th><th>int64</th><th>float64</th><th>str14</th><th>str13</th><th>float64</th><th>str48</th><th>str16</th><th>str6</th><th>str21</th><th>str12</th><th>float64</th><th>float64</th><th>float64</th><th>float64</th><th>float64</th><th>float64</th><th>float64[5]</th><th>float64[5]</th><th>float64[3]</th><th>float64[3]</th><th>float64[3]</th><th>float64[3]</th><th>float64</th><th>float64</th><th>float64</th><th>float64</th><th>float64</th><th>float64</th><th>float64</th><th>float64</th><th>float64</th><th>float64</th><th>float64</th><th>float64</th><th>float64</th><th>float64</th><th>float64</th><th>float64</th><th>float64[5]</th><th>float64[6]</th><th>float64[6]</th><th>float64[6]</th><th>float64[6]</th><th>float64[6]</th><th>float64[6]</th><th>float64[6]</th><th>float64[6]</th><th>float64[6]</th><th>float64[6]</th><th>float64[6]</th><th>float64[6]</th><th>float64[6]</th><th>float64[6]</th><th>float64[6]</th><th>float64[6]</th><th>float64[6]</th><th>float64[6]</th><th>float64[6]</th><th>float64[6]</th><th>float64[6]</th><th>float64[6]</th><th>float64[6]</th><th>float64[6]</th><th>float64[6]</th><th>float64[6]</th><th>float64[6]</th><th>float64[6]</th><th>float64[6]</th><th>float64[6]</th><th>float64[6]</th><th>float64[6]</th><th>float64[6]</th><th>float64[6]</th><th>float64[6]</th><th>float64[6]</th><th>float64[6]</th><th>float64[6]</th><th>float64[6]</th><th>float64[6]</th><th>float64[6]</th><th>float64[6]</th><th>float64[6]</th><th>float64[6]</th><th>float64[6]</th><th>float64[6]</th><th>float64[6]</th><th>float64[6]</th><th>float64[6]</th><th>float64[6]</th><th>float64[6]</th><th>float64[6]</th><th>float64[6]</th><th>float64[6]</th><th>float64[6]</th><th>float64[6]</th><th>float64[6]</th><th>float64[6]</th><th>float64[6]</th><th>float64[6]</th><th>float64[6]</th><th>float64[6]</th><th>float64[6]</th><th>float64[6]</th><th>float64[6]</th><th>float64[6]</th><th>float64[2]</th><th>float64[2]</th><th>float64[2]</th><th>float64[2]</th><th>float64[2]</th><th>float64[2]</th><th>float64[2]</th><th>float64[2]</th><th>float64[2]</th><th>float64[2]</th><th>float64[2]</th><th>float64[2]</th><th>float64</th><th>float64</th><th>float64</th><th>float64</th><th>float64</th><th>float64</th><th>float64</th><th>float64</th><th>float64</th><th>float64</th><th>float64</th><th>float64</th><th>float64</th><th>float64</th><th>float64</th><th>float64</th><th>float64[8]</th><th>float64[8]</th></tr></thead>\n",
       "<tr><td>102359</td><td>60089</td><td>27021598149616104</td><td>102359-60089-27021598149616104</td><td>v6_1_3</td><td>221.403908936</td><td>-1.75622888404</td><td>3</td><td>2700.0</td><td>bhm_spiders</td><td>BHM</td><td>0.2583529055118561</td><td>bhm_spiders_agn_lsdr8</td><td>science</td><td>QSO</td><td></td><td></td><td>-1.0</td><td>0.2583529</td><td>0.2583529</td><td>-1.0</td><td>7.697188222136646</td><td>0.0435907694103125</td><td>12.231577417587404 .. -0.0002116453778117</td><td>0.4381249363305528 .. 2.9754970258988008e-05</td><td>0.0 .. 0.0</td><td>0.0 .. 0.0</td><td>0.5907191402698686 .. -0.0019911178737501</td><td>0.0689370227568986 .. 0.0006349086429218</td><td>-1.0</td><td>-1.0</td><td>-1.0</td><td>-1.0</td><td>-1.0</td><td>-1.0</td><td>-1.0</td><td>-1.0</td><td>43.637632490029546</td><td>0.0085029316773841</td><td>43.59788967321541</td><td>0.0095399690020272</td><td>1837.0</td><td>0.4529041098191978</td><td>0.5302888002057865</td><td>1.396130348649827</td><td>111.03028184803136 .. 0.6971524533347258</td><td>6561.726786939041 .. 6562.930853988406</td><td>0.4992470884176327 .. 0.419592089402613</td><td>6566.279511010526 .. 6565.641169017501</td><td>0.7950437639719894 .. 0.5360526140239017</td><td>6561.641583475599 .. 6561.64286332082</td><td>0.4245526961512951 .. 0.1382212655048533</td><td>6546.883847523687 .. 6546.885124490418</td><td>0.4235978380552296 .. 0.13791039315538</td><td>6582.299310486462 .. 6582.300594360963</td><td>0.42588929669364 .. 0.1386564214240024</td><td>6715.248034335925 .. 6715.249344142016</td><td>0.4344913726290542 .. 0.14145699207711</td><td>6729.621520882963 .. 6729.6228334925945</td><td>0.435421368939842 .. 0.1417597701970407</td><td>4860.013088175392 .. 4863.329470927314</td><td>0.556384174672985 .. 0.697008064495094</td><td>4863.395992726701 .. 4863.4539675143</td><td>2.035661610124862 .. 1.1164761889795043</td><td>4683.988783598247 .. 4684.160485922959</td><td>0.2880252970317087 .. 15.297010560534543</td><td>4709.968115866706 .. 4718.066235040769</td><td>0.2723359667938894 .. 3.964770162223431</td><td>5005.487634667305 .. 5005.072069088797</td><td>0.4666237313053898 .. 0.2116635106758622</td><td>5005.0699313853165 .. 5005.072188566535</td><td>0.778319663847924 .. 0.4749392639414509</td><td>4957.57186919076 .. 4957.144526489516</td><td>0.5389963658999477 .. 0.2640991701982784</td><td>4957.158164434781 .. 4957.160400008802</td><td>0.7708690845638557 .. 0.4703928380886282</td><td>4349.19784646158 .. 4348.7241150148375</td><td>5.19439377500521 .. 1.4678102946772924</td><td>4096.240340031542 .. 4096.735190531317</td><td>9.650247138551094 .. 5.242344123350222</td><td>3973.8457906301214 .. 3974.3204138627616</td><td>26.53309157538888 .. 26.49605726409459</td><td>3760.997793062319 .. 3760.9981231239126</td><td>26.260542893041247 .. 26.26072285335704</td><td>0.0 .. 0.0</td><td>-1.0 .. -1.0</td><td>0.0 .. 0.0</td><td>-1.0 .. -1.0</td><td>0.0 .. 0.0</td><td>-1.0 .. -1.0</td><td>0.0 .. 0.0</td><td>-1.0 .. -1.0</td><td>0.0 .. 0.0</td><td>-1.0 .. -1.0</td><td>0.0 .. 0.0</td><td>-1.0 .. -1.0</td><td>0.0 .. 0.0</td><td>-1.0 .. -1.0</td><td>0.0 .. 0.0</td><td>-1.0 .. -1.0</td><td>0.0 .. 0.0</td><td>-1.0 .. -1.0</td><td>0.0 .. 0.0</td><td>-1.0 .. -1.0</td><td>0.0 .. 0.0</td><td>-1.0 .. -1.0</td><td>0.0 .. 0.0</td><td>-1.0 .. -1.0</td><td>0.0 .. 0.0</td><td>-1.0 .. -1.0</td><td>0.0 .. 0.0</td><td>-1.0 .. -1.0</td><td>274.0 .. 0.8013516505679498</td><td>418.0 .. 0.7430302626187821</td><td>300.0 .. 0.7540176748808134</td><td>211.0 .. 0.7703787753628478</td><td>0.0 .. 0.0</td><td>0.0 .. 0.0</td><td>0.0 .. 0.0</td><td>0.0 .. 0.0</td><td>0.0 .. 0.0</td><td>66.0 .. 1.1397746900738326</td><td>173.0 .. 2.3379806630981435</td><td>0.0 .. 0.0</td><td>44.56450065989735</td><td>0.0095399690020272</td><td>7.638207549403775</td><td>0.11098669798266358</td><td>0.0</td><td>-1.0</td><td>0.0</td><td>-1.0</td><td>7.638207549403775</td><td>0.11098669798266358</td><td>-1.1740774346239888</td><td>0.11139595207032714</td><td>0.2577577801856208</td><td>0.000305702160774119</td><td>0.2577940193324294</td><td>0.0003482834092633025</td><td>0.25899593477714977 .. 0.0</td><td>0.0017605423811687454 .. -1.0</td></tr>\n",
       "</table></div>"
      ],
      "text/plain": [
       "<Table length=1>\n",
       "FIELD   MJD  ...         ZSYS_LINES                 ZSYS_LINES_ERR       \n",
       "int64  int64 ...         float64[8]                   float64[8]         \n",
       "------ ----- ... -------------------------- -----------------------------\n",
       "102359 60089 ... 0.25899593477714977 .. 0.0 0.0017605423811687454 .. -1.0"
      ]
     },
     "execution_count": 5,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "Table(sdss5_cat[sdss5_cat['FITS_FILE']==obj])"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "26996f92",
   "metadata": {},
   "source": [
    "**demonstrate the fits file extension=1, which saves the basic fitting results**"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "id": "b41c9dd1",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div><i>Table length=1</i>\n",
       "<table id=\"table139909133633392\" class=\"table-striped table-bordered table-condensed\">\n",
       "<thead><tr><th>target_info</th><th>plateid</th><th>MJD</th><th>fiberid</th><th>ra</th><th>dec</th><th>redshift</th><th>SN_ratio_conti</th><th>EBV</th><th>Fe_uv_norm</th><th>Fe_uv_norm_err</th><th>Fe_uv_FWHM</th><th>Fe_uv_FWHM_err</th><th>Fe_uv_shift</th><th>Fe_uv_shift_err</th><th>Fe_op_norm</th><th>Fe_op_norm_err</th><th>Fe_op_FWHM</th><th>Fe_op_FWHM_err</th><th>Fe_op_shift</th><th>Fe_op_shift_err</th><th>PL_norm</th><th>PL_norm_err</th><th>PL_slope</th><th>PL_slope_err</th><th>Blamer_norm</th><th>Blamer_norm_err</th><th>Balmer_Te</th><th>Balmer_Te_err</th><th>Balmer_Tau</th><th>Balmer_Tau_err</th><th>conti_a_0</th><th>conti_a_0_err</th><th>conti_a_1</th><th>conti_a_1_err</th><th>conti_a_2</th><th>conti_a_2_err</th><th>L1350</th><th>L1350_err</th><th>L1450</th><th>L1450_err</th><th>L1700</th><th>L1700_err</th><th>L2500</th><th>L2500_err</th><th>L3000</th><th>L3000_err</th><th>L4200</th><th>L4200_err</th><th>L5100</th><th>L5100_err</th><th>Fe_flux_4435_4685</th><th>Fe_flux_4435_4685_err</th><th>SN_host</th><th>rchi2_decomp</th><th>frac_host_4200</th><th>frac_host_5100</th><th>Dn4000</th><th>sigma</th><th>sigma_err</th><th>v_off</th><th>v_off_err</th><th>rchi2_ppxf</th><th>gal_par_0</th><th>gal_par_1</th><th>gal_par_2</th><th>gal_par_3</th><th>gal_par_4</th><th>qso_par_0</th><th>qso_par_1</th><th>qso_par_2</th><th>qso_par_3</th><th>qso_par_4</th><th>qso_par_5</th><th>qso_par_6</th><th>qso_par_7</th><th>qso_par_8</th><th>qso_par_9</th><th>1_complex_name</th><th>1_line_status</th><th>1_line_min_chi2</th><th>1_line_bic</th><th>1_line_red_chi2</th><th>1_niter</th><th>1_ndof</th><th>2_complex_name</th><th>2_line_status</th><th>2_line_min_chi2</th><th>2_line_bic</th><th>2_line_red_chi2</th><th>2_niter</th><th>2_ndof</th><th>3_complex_name</th><th>3_line_status</th><th>3_line_min_chi2</th><th>3_line_bic</th><th>3_line_red_chi2</th><th>3_niter</th><th>3_ndof</th><th>4_complex_name</th><th>4_line_status</th><th>4_line_min_chi2</th><th>4_line_bic</th><th>4_line_red_chi2</th><th>4_niter</th><th>4_ndof</th><th>Hdelta_br_1_scale</th><th>Hdelta_br_1_scale_err</th><th>Hdelta_br_1_centerwave</th><th>Hdelta_br_1_centerwave_err</th><th>Hdelta_br_1_sigma</th><th>Hdelta_br_1_sigma_err</th><th>Hdelta_na_1_scale</th><th>Hdelta_na_1_scale_err</th><th>Hdelta_na_1_centerwave</th><th>Hdelta_na_1_centerwave_err</th><th>Hdelta_na_1_sigma</th><th>Hdelta_na_1_sigma_err</th><th>Hgamma_br_1_scale</th><th>Hgamma_br_1_scale_err</th><th>Hgamma_br_1_centerwave</th><th>Hgamma_br_1_centerwave_err</th><th>Hgamma_br_1_sigma</th><th>Hgamma_br_1_sigma_err</th><th>Hgamma_na_1_scale</th><th>Hgamma_na_1_scale_err</th><th>Hgamma_na_1_centerwave</th><th>Hgamma_na_1_centerwave_err</th><th>Hgamma_na_1_sigma</th><th>Hgamma_na_1_sigma_err</th><th>Hbeta_br_1_scale</th><th>Hbeta_br_1_scale_err</th><th>Hbeta_br_1_centerwave</th><th>Hbeta_br_1_centerwave_err</th><th>Hbeta_br_1_sigma</th><th>Hbeta_br_1_sigma_err</th><th>Hbeta_br_2_scale</th><th>Hbeta_br_2_scale_err</th><th>Hbeta_br_2_centerwave</th><th>Hbeta_br_2_centerwave_err</th><th>Hbeta_br_2_sigma</th><th>Hbeta_br_2_sigma_err</th><th>Hbeta_na_1_scale</th><th>Hbeta_na_1_scale_err</th><th>Hbeta_na_1_centerwave</th><th>Hbeta_na_1_centerwave_err</th><th>Hbeta_na_1_sigma</th><th>Hbeta_na_1_sigma_err</th><th>OIII4959c_1_scale</th><th>OIII4959c_1_scale_err</th><th>OIII4959c_1_centerwave</th><th>OIII4959c_1_centerwave_err</th><th>OIII4959c_1_sigma</th><th>OIII4959c_1_sigma_err</th><th>OIII5007c_1_scale</th><th>OIII5007c_1_scale_err</th><th>OIII5007c_1_centerwave</th><th>OIII5007c_1_centerwave_err</th><th>OIII5007c_1_sigma</th><th>OIII5007c_1_sigma_err</th><th>OIII4959w_1_scale</th><th>OIII4959w_1_scale_err</th><th>OIII4959w_1_centerwave</th><th>OIII4959w_1_centerwave_err</th><th>OIII4959w_1_sigma</th><th>OIII4959w_1_sigma_err</th><th>OIII5007w_1_scale</th><th>OIII5007w_1_scale_err</th><th>OIII5007w_1_centerwave</th><th>OIII5007w_1_centerwave_err</th><th>OIII5007w_1_sigma</th><th>OIII5007w_1_sigma_err</th><th>HeII4687_br_1_scale</th><th>HeII4687_br_1_scale_err</th><th>HeII4687_br_1_centerwave</th><th>HeII4687_br_1_centerwave_err</th><th>HeII4687_br_1_sigma</th><th>HeII4687_br_1_sigma_err</th><th>HeII4687_na_1_scale</th><th>HeII4687_na_1_scale_err</th><th>HeII4687_na_1_centerwave</th><th>HeII4687_na_1_centerwave_err</th><th>HeII4687_na_1_sigma</th><th>HeII4687_na_1_sigma_err</th><th>Halpha_br_1_scale</th><th>Halpha_br_1_scale_err</th><th>Halpha_br_1_centerwave</th><th>Halpha_br_1_centerwave_err</th><th>Halpha_br_1_sigma</th><th>Halpha_br_1_sigma_err</th><th>Halpha_br_2_scale</th><th>Halpha_br_2_scale_err</th><th>Halpha_br_2_centerwave</th><th>Halpha_br_2_centerwave_err</th><th>Halpha_br_2_sigma</th><th>Halpha_br_2_sigma_err</th><th>Halpha_br_3_scale</th><th>Halpha_br_3_scale_err</th><th>Halpha_br_3_centerwave</th><th>Halpha_br_3_centerwave_err</th><th>Halpha_br_3_sigma</th><th>Halpha_br_3_sigma_err</th><th>Halpha_na_1_scale</th><th>Halpha_na_1_scale_err</th><th>Halpha_na_1_centerwave</th><th>Halpha_na_1_centerwave_err</th><th>Halpha_na_1_sigma</th><th>Halpha_na_1_sigma_err</th><th>NII6549_1_scale</th><th>NII6549_1_scale_err</th><th>NII6549_1_centerwave</th><th>NII6549_1_centerwave_err</th><th>NII6549_1_sigma</th><th>NII6549_1_sigma_err</th><th>NII6585_1_scale</th><th>NII6585_1_scale_err</th><th>NII6585_1_centerwave</th><th>NII6585_1_centerwave_err</th><th>NII6585_1_sigma</th><th>NII6585_1_sigma_err</th><th>SII6718_1_scale</th><th>SII6718_1_scale_err</th><th>SII6718_1_centerwave</th><th>SII6718_1_centerwave_err</th><th>SII6718_1_sigma</th><th>SII6718_1_sigma_err</th><th>SII6732_1_scale</th><th>SII6732_1_scale_err</th><th>SII6732_1_centerwave</th><th>SII6732_1_centerwave_err</th><th>SII6732_1_sigma</th><th>SII6732_1_sigma_err</th><th>loc_1_complex_name</th><th>loc_1_line_status</th><th>loc_1_line_min_chi2</th><th>loc_1_line_bic</th><th>loc_1_line_red_chi2</th><th>loc_1_niter</th><th>loc_1_ndof</th><th>loc_2_complex_name</th><th>loc_2_line_status</th><th>loc_2_line_min_chi2</th><th>loc_2_line_bic</th><th>loc_2_line_red_chi2</th><th>loc_2_niter</th><th>loc_2_ndof</th><th>OII_PL_norm</th><th>OII_PL_norm_err</th><th>OII_PL_slope</th><th>OII_PL_slope_err</th><th>OII3728_1_scale</th><th>OII3728_1_scale_err</th><th>OII3728_1_centerwave</th><th>OII3728_1_centerwave_err</th><th>OII3728_1_sigma</th><th>OII3728_1_sigma_err</th><th>CaII_PL_norm</th><th>CaII_PL_norm_err</th><th>CaII_PL_slope</th><th>CaII_PL_slope_err</th><th>CaII3934_1_scale</th><th>CaII3934_1_scale_err</th><th>CaII3934_1_centerwave</th><th>CaII3934_1_centerwave_err</th><th>CaII3934_1_sigma</th><th>CaII3934_1_sigma_err</th><th>CaII3934_2_scale</th><th>CaII3934_2_scale_err</th><th>CaII3934_2_centerwave</th><th>CaII3934_2_centerwave_err</th><th>CaII3934_2_sigma</th><th>CaII3934_2_sigma_err</th></tr></thead>\n",
       "<thead><tr><th>str8</th><th>int64</th><th>int64</th><th>int64</th><th>float64</th><th>float64</th><th>float64</th><th>float64</th><th>float64</th><th>float64</th><th>float64</th><th>float64</th><th>float64</th><th>float64</th><th>float64</th><th>float64</th><th>float64</th><th>float64</th><th>float64</th><th>float64</th><th>float64</th><th>float64</th><th>float64</th><th>float64</th><th>float64</th><th>float64</th><th>float64</th><th>float64</th><th>float64</th><th>float64</th><th>float64</th><th>float64</th><th>float64</th><th>float64</th><th>float64</th><th>float64</th><th>float64</th><th>float64</th><th>float64</th><th>float64</th><th>float64</th><th>float64</th><th>float64</th><th>float64</th><th>float64</th><th>float64</th><th>float64</th><th>float64</th><th>float64</th><th>float64</th><th>float64</th><th>float64</th><th>float64</th><th>float64</th><th>float64</th><th>float64</th><th>float64</th><th>float64</th><th>float64</th><th>float64</th><th>float64</th><th>float64</th><th>float64</th><th>float64</th><th>float64</th><th>float64</th><th>float64</th><th>float64</th><th>float64</th><th>float64</th><th>float64</th><th>float64</th><th>float64</th><th>float64</th><th>float64</th><th>float64</th><th>float64</th><th>float64</th><th>str8</th><th>int64</th><th>float64</th><th>float64</th><th>float64</th><th>int64</th><th>int64</th><th>str8</th><th>int64</th><th>float64</th><th>float64</th><th>float64</th><th>int64</th><th>int64</th><th>str8</th><th>int64</th><th>float64</th><th>float64</th><th>float64</th><th>int64</th><th>int64</th><th>str8</th><th>int64</th><th>float64</th><th>float64</th><th>float64</th><th>int64</th><th>int64</th><th>float64</th><th>float64</th><th>float64</th><th>float64</th><th>float64</th><th>float64</th><th>float64</th><th>float64</th><th>float64</th><th>float64</th><th>float64</th><th>float64</th><th>float64</th><th>float64</th><th>float64</th><th>float64</th><th>float64</th><th>float64</th><th>float64</th><th>float64</th><th>float64</th><th>float64</th><th>float64</th><th>float64</th><th>float64</th><th>float64</th><th>float64</th><th>float64</th><th>float64</th><th>float64</th><th>float64</th><th>float64</th><th>float64</th><th>float64</th><th>float64</th><th>float64</th><th>float64</th><th>float64</th><th>float64</th><th>float64</th><th>float64</th><th>float64</th><th>float64</th><th>float64</th><th>float64</th><th>float64</th><th>float64</th><th>float64</th><th>float64</th><th>float64</th><th>float64</th><th>float64</th><th>float64</th><th>float64</th><th>float64</th><th>float64</th><th>float64</th><th>float64</th><th>float64</th><th>float64</th><th>float64</th><th>float64</th><th>float64</th><th>float64</th><th>float64</th><th>float64</th><th>float64</th><th>float64</th><th>float64</th><th>float64</th><th>float64</th><th>float64</th><th>float64</th><th>float64</th><th>float64</th><th>float64</th><th>float64</th><th>float64</th><th>float64</th><th>float64</th><th>float64</th><th>float64</th><th>float64</th><th>float64</th><th>float64</th><th>float64</th><th>float64</th><th>float64</th><th>float64</th><th>float64</th><th>float64</th><th>float64</th><th>float64</th><th>float64</th><th>float64</th><th>float64</th><th>float64</th><th>float64</th><th>float64</th><th>float64</th><th>float64</th><th>float64</th><th>float64</th><th>float64</th><th>float64</th><th>float64</th><th>float64</th><th>float64</th><th>float64</th><th>float64</th><th>float64</th><th>float64</th><th>float64</th><th>float64</th><th>float64</th><th>float64</th><th>float64</th><th>float64</th><th>float64</th><th>float64</th><th>float64</th><th>float64</th><th>float64</th><th>float64</th><th>float64</th><th>float64</th><th>str8</th><th>int64</th><th>float64</th><th>float64</th><th>float64</th><th>int64</th><th>int64</th><th>str8</th><th>int64</th><th>float64</th><th>float64</th><th>float64</th><th>int64</th><th>int64</th><th>float64</th><th>float64</th><th>float64</th><th>float64</th><th>float64</th><th>float64</th><th>float64</th><th>float64</th><th>float64</th><th>float64</th><th>float64</th><th>float64</th><th>float64</th><th>float64</th><th>float64</th><th>float64</th><th>float64</th><th>float64</th><th>float64</th><th>float64</th><th>float64</th><th>float64</th><th>float64</th><th>float64</th><th>float64</th><th>float64</th></tr></thead>\n",
       "<tr><td>v6_1_3</td><td>0</td><td>0</td><td>0</td><td>221.403908936</td><td>-1.75622888404</td><td>0.2583529</td><td>7.697188222136646</td><td>0.04359076941031258</td><td>0.0</td><td>0.0</td><td>3000.0</td><td>0.0</td><td>0.0</td><td>0.0</td><td>0.5907191402698686</td><td>0.06893702275689861</td><td>1837.0009523070817</td><td>288.587093177009</td><td>-0.001991117873750132</td><td>0.0006349086429218755</td><td>12.231577417587403</td><td>0.4381249363305528</td><td>-2.117416141365264</td><td>0.0027027006948240895</td><td>0.0</td><td>0.0</td><td>15000.0</td><td>0.0</td><td>0.5</td><td>0.0</td><td>-2265.930407154645</td><td>578.0365069961708</td><td>1.4819582766007187</td><td>0.25099620543254564</td><td>-0.00021164537781171824</td><td>2.9754970258988008e-05</td><td>-1.0</td><td>-1.0</td><td>-1.0</td><td>-1.0</td><td>-1.0</td><td>-1.0</td><td>-1.0</td><td>-1.0</td><td>-1.0</td><td>-1.0</td><td>43.637632490029546</td><td>0.00850293167738414</td><td>43.59788967321541</td><td>0.009539969002027249</td><td>258.4576716566706</td><td>29.83462845115892</td><td>5.650840355139054</td><td>1.1492172638888898</td><td>0.4529041098191978</td><td>0.5302888002057865</td><td>1.396130348649827</td><td>111.03028184803135</td><td>33.67824096491163</td><td>-13.144520215803785</td><td>27.67221579433188</td><td>0.6971524533347258</td><td>282.99570299076885</td><td>-8.351564661331349</td><td>-4.777321826240648</td><td>-20.486324243460707</td><td>-8.62740853270081</td><td>353.59084579471795</td><td>-11.37884371103624</td><td>9.033330002696953</td><td>17.040294888673575</td><td>10.693833182293043</td><td>-1.1896319375400992</td><td>9.229170911022267</td><td>5.971921623441314</td><td>6.257524637747203</td><td>-21.040711447967745</td><td>Hd</td><td>1</td><td>157.9276489493838</td><td>-29.020008229677366</td><td>0.7703787753628478</td><td>141</td><td>205</td><td>Hr</td><td>1</td><td>221.68119641495915</td><td>-56.53995827605016</td><td>0.7540176748808134</td><td>206</td><td>294</td><td>Hb</td><td>1</td><td>290.5248326839438</td><td>-26.924936810282432</td><td>0.7430302626187821</td><td>319</td><td>391</td><td>Ha</td><td>1</td><td>200.33791264198743</td><td>5.214177283071962</td><td>0.8013516505679498</td><td>483</td><td>250</td><td>1.5988987911441654</td><td>0.3051952579546935</td><td>8.317941175610983</td><td>0.0014186202248644975</td><td>0.0025360778763902974</td><td>0.0003338629942719845</td><td>0.1220268330826002</td><td>1.4500592948607505</td><td>8.312706001590973</td><td>0.003590518570786294</td><td>0.0002584587781281621</td><td>0.00037536427257246584</td><td>3.422623295890048</td><td>0.5803418412497763</td><td>8.37763034081997</td><td>0.0006904255649295976</td><td>0.0042588911485453495</td><td>0.0005795742141075388</td><td>1.1851808423557486</td><td>1.0501565395060197</td><td>8.377670773827775</td><td>0.002913790188303622</td><td>0.0002300000052575123</td><td>0.0008757001596061634</td><td>2.6557017696049456</td><td>1.0433415242872002</td><td>8.48949244987265</td><td>0.0007983615411397693</td><td>0.004128331023626304</td><td>0.001514181566834831</td><td>2.6557017696049456</td><td>1.0879228184990097</td><td>8.489492236808225</td><td>0.00072203033226792</td><td>0.004128572804173418</td><td>0.0014032585960417983</td><td>2.675775712113193</td><td>0.8555938180165867</td><td>8.488712378372972</td><td>9.502322680798869e-05</td><td>0.0008066132375898428</td><td>0.00014121327969291234</td><td>4.20791734789816</td><td>0.6698258725457151</td><td>8.508587904801194</td><td>9.502322680798869e-05</td><td>0.0008066132375898428</td><td>0.00014121327969291234</td><td>13.85007830645435</td><td>2.3300847362683896</td><td>8.518206663956468</td><td>9.502322680798869e-05</td><td>0.0008066132375898428</td><td>0.00014121327969291234</td><td>0.26444069156639216</td><td>0.9367172371099741</td><td>8.502453153739863</td><td>0.0030881883685971445</td><td>0.0023230270098390715</td><td>0.0005772922367025246</td><td>0.004919398222114069</td><td>2.5124120006658757</td><td>8.512071912895136</td><td>0.0030881883685971445</td><td>0.0023230270098390715</td><td>0.0005772922367025246</td><td>0.6445910472052674</td><td>0.14475736165309172</td><td>8.457551648520793</td><td>2.250953112792331e-08</td><td>0.04809741451393922</td><td>0.020754683122017805</td><td>0.7332834339734973</td><td>0.5092177901566686</td><td>8.451918669571702</td><td>9.502322680798869e-05</td><td>0.0008066132375898428</td><td>0.00014121327969291234</td><td>7.131614743194348</td><td>2.768977669376227</td><td>8.789117672962266</td><td>0.0030236692604610482</td><td>0.003930578295166926</td><td>0.004116772173290739</td><td>5.3239135322513675</td><td>2.373106355868515</td><td>8.790029336715415</td><td>0.0007511421074566371</td><td>0.0020000000949989606</td><td>0.0012784265091986427</td><td>1.0231304692354115</td><td>2.9181182803483807</td><td>8.793864204146807</td><td>0.0018392232673489772</td><td>0.0106350403826682</td><td>0.00425685566783976</td><td>14.25441875646527</td><td>0.7570641002985212</td><td>8.788996092016458</td><td>2.1040440472575028e-05</td><td>0.0005302961289766134</td><td>2.9170716037200852e-05</td><td>2.923570274759868</td><td>0.3161658601591455</td><td>8.786744466955422</td><td>2.1040440472575028e-05</td><td>0.0005302961289766134</td><td>2.9170716037200852e-05</td><td>8.770710824279604</td><td>0.9484975804774365</td><td>8.792139402563333</td><td>2.1040440472575028e-05</td><td>0.0005302961289766134</td><td>2.9170716037200852e-05</td><td>3.334988396552774</td><td>0.31056084370817416</td><td>8.812136045629739</td><td>2.1040440472575028e-05</td><td>0.0005302961289766134</td><td>2.9170716037200852e-05</td><td>3.334988396552774</td><td>0.31056084370817416</td><td>8.814274183447122</td><td>2.1040440472575028e-05</td><td>0.0005302961289766134</td><td>2.9170716037200852e-05</td><td>OII</td><td>1</td><td>397.4567127266844</td><td>169.37643957164795</td><td>2.3379806630981435</td><td>554</td><td>170</td><td>CaII</td><td>1</td><td>67.24670671435612</td><td>30.562661288952267</td><td>1.1397746900738326</td><td>210453397557</td><td>244813135925</td><td>1.481094691335727</td><td>0.9886418017579501</td><td>-1.5830921092126875</td><td>3.9878609335262736</td><td>0.1542121985664835</td><td>5.177625561625376</td><td>0.008683648792689045</td><td>0.007064500327472554</td><td>0.00035495306841146587</td><td>0.0006130448105644081</td><td>6.106226635438361e-06</td><td>0.0067143957060977755</td><td>-4.77585983709466</td><td>0.34073508757133597</td><td>7.771561172376096e-06</td><td>0.227624841198093</td><td>0.009997999423024068</td><td>0.006733301351780627</td><td>0.0010676917043112672</td><td>0.0005996853398211003</td><td>7.771561172376096e-06</td><td>0.227624841198093</td><td>0.009997999423024068</td><td>0.006733301351780627</td><td>0.0010676917043113154</td><td>0.0005996853398187466</td></tr>\n",
       "</table></div>"
      ],
      "text/plain": [
       "<Table length=1>\n",
       "target_info plateid  MJD  ...    CaII3934_2_sigma    CaII3934_2_sigma_err\n",
       "    str8     int64  int64 ...        float64               float64       \n",
       "----------- ------- ----- ... --------------------- ---------------------\n",
       "     v6_1_3       0     0 ... 0.0010676917043113154 0.0005996853398187466"
      ]
     },
     "execution_count": 6,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "op_data = fits.getdata(specpath, 1)\n",
    "Table(op_data)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "4f10dd47",
   "metadata": {},
   "source": [
    "**demonstrate the fits file extension=2, which saves the MC fitting results**"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "id": "79e9a940",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div><i>Table length=25</i>\n",
       "<table id=\"table139908737650224\" class=\"table-striped table-bordered table-condensed\">\n",
       "<thead><tr><th>Fe_uv_norm_MC</th><th>Fe_uv_FWHM_MC</th><th>Fe_uv_shift_MC</th><th>Fe_op_norm_MC</th><th>Fe_op_FWHM_MC</th><th>Fe_op_shift_MC</th><th>PL_norm_MC</th><th>PL_slope_MC</th><th>Blamer_norm_MC</th><th>Balmer_Te_MC</th><th>Balmer_Tau_MC</th><th>conti_a_0_MC</th><th>conti_a_1_MC</th><th>conti_a_2_MC</th><th>Hdelta_br_1_scale_MC</th><th>Hdelta_br_1_centerwave_MC</th><th>Hdelta_br_1_sigma_MC</th><th>Hdelta_na_1_scale_MC</th><th>Hdelta_na_1_centerwave_MC</th><th>Hdelta_na_1_sigma_MC</th><th>Hgamma_br_1_scale_MC</th><th>Hgamma_br_1_centerwave_MC</th><th>Hgamma_br_1_sigma_MC</th><th>Hgamma_na_1_scale_MC</th><th>Hgamma_na_1_centerwave_MC</th><th>Hgamma_na_1_sigma_MC</th><th>Hbeta_br_1_scale_MC</th><th>Hbeta_br_1_centerwave_MC</th><th>Hbeta_br_1_sigma_MC</th><th>Hbeta_br_2_scale_MC</th><th>Hbeta_br_2_centerwave_MC</th><th>Hbeta_br_2_sigma_MC</th><th>Hbeta_na_1_scale_MC</th><th>Hbeta_na_1_centerwave_MC</th><th>Hbeta_na_1_sigma_MC</th><th>OIII4959c_1_scale_MC</th><th>OIII4959c_1_centerwave_MC</th><th>OIII4959c_1_sigma_MC</th><th>OIII5007c_1_scale_MC</th><th>OIII5007c_1_centerwave_MC</th><th>OIII5007c_1_sigma_MC</th><th>OIII4959w_1_scale_MC</th><th>OIII4959w_1_centerwave_MC</th><th>OIII4959w_1_sigma_MC</th><th>OIII5007w_1_scale_MC</th><th>OIII5007w_1_centerwave_MC</th><th>OIII5007w_1_sigma_MC</th><th>HeII4687_br_1_scale_MC</th><th>HeII4687_br_1_centerwave_MC</th><th>HeII4687_br_1_sigma_MC</th><th>HeII4687_na_1_scale_MC</th><th>HeII4687_na_1_centerwave_MC</th><th>HeII4687_na_1_sigma_MC</th><th>Halpha_br_1_scale_MC</th><th>Halpha_br_1_centerwave_MC</th><th>Halpha_br_1_sigma_MC</th><th>Halpha_br_2_scale_MC</th><th>Halpha_br_2_centerwave_MC</th><th>Halpha_br_2_sigma_MC</th><th>Halpha_br_3_scale_MC</th><th>Halpha_br_3_centerwave_MC</th><th>Halpha_br_3_sigma_MC</th><th>Halpha_na_1_scale_MC</th><th>Halpha_na_1_centerwave_MC</th><th>Halpha_na_1_sigma_MC</th><th>NII6549_1_scale_MC</th><th>NII6549_1_centerwave_MC</th><th>NII6549_1_sigma_MC</th><th>NII6585_1_scale_MC</th><th>NII6585_1_centerwave_MC</th><th>NII6585_1_sigma_MC</th><th>SII6718_1_scale_MC</th><th>SII6718_1_centerwave_MC</th><th>SII6718_1_sigma_MC</th><th>SII6732_1_scale_MC</th><th>SII6732_1_centerwave_MC</th><th>SII6732_1_sigma_MC</th><th>OII_PL_norm_MC</th><th>OII_PL_slope_MC</th><th>OII3728_1_scale_MC</th><th>OII3728_1_centerwave_MC</th><th>OII3728_1_sigma_MC</th><th>CaII_PL_norm_MC</th><th>CaII_PL_slope_MC</th><th>CaII3934_1_scale_MC</th><th>CaII3934_1_centerwave_MC</th><th>CaII3934_1_sigma_MC</th><th>CaII3934_2_scale_MC</th><th>CaII3934_2_centerwave_MC</th><th>CaII3934_2_sigma_MC</th></tr></thead>\n",
       "<thead><tr><th>float64</th><th>float64</th><th>float64</th><th>float64</th><th>float64</th><th>float64</th><th>float64</th><th>float64</th><th>float64</th><th>float64</th><th>float64</th><th>float64</th><th>float64</th><th>float64</th><th>float64</th><th>float64</th><th>float64</th><th>float64</th><th>float64</th><th>float64</th><th>float64</th><th>float64</th><th>float64</th><th>float64</th><th>float64</th><th>float64</th><th>float64</th><th>float64</th><th>float64</th><th>float64</th><th>float64</th><th>float64</th><th>float64</th><th>float64</th><th>float64</th><th>float64</th><th>float64</th><th>float64</th><th>float64</th><th>float64</th><th>float64</th><th>float64</th><th>float64</th><th>float64</th><th>float64</th><th>float64</th><th>float64</th><th>float64</th><th>float64</th><th>float64</th><th>float64</th><th>float64</th><th>float64</th><th>float64</th><th>float64</th><th>float64</th><th>float64</th><th>float64</th><th>float64</th><th>float64</th><th>float64</th><th>float64</th><th>float64</th><th>float64</th><th>float64</th><th>float64</th><th>float64</th><th>float64</th><th>float64</th><th>float64</th><th>float64</th><th>float64</th><th>float64</th><th>float64</th><th>float64</th><th>float64</th><th>float64</th><th>float64</th><th>float64</th><th>float64</th><th>float64</th><th>float64</th><th>float64</th><th>float64</th><th>float64</th><th>float64</th><th>float64</th><th>float64</th><th>float64</th><th>float64</th></tr></thead>\n",
       "<tr><td>0.0</td><td>3000.0</td><td>0.0</td><td>0.5905714806075935</td><td>1861.8848778329073</td><td>-0.0021024725174129885</td><td>11.516817499668264</td><td>0.4411332795194056</td><td>0.0</td><td>15000.0</td><td>0.5</td><td>-10193.76983332039</td><td>3.1873242342138326</td><td>-0.000372728744004997</td><td>0.4545352982887607</td><td>8.318117772305094</td><td>0.006605270528248096</td><td>1.9094947845132992</td><td>8.317045226107732</td><td>0.0009611151662255198</td><td>3.0698832365061435</td><td>8.377206216874875</td><td>0.0036800629074643836</td><td>3.0008695528493945</td><td>8.377860452462858</td><td>0.00028238244317706023</td><td>1.9323387334679865</td><td>8.489744438708177</td><td>0.0020000000956372317</td><td>3.722107622117221</td><td>8.489494026620783</td><td>0.004837901418202109</td><td>4.2757913876201314</td><td>8.488881493386607</td><td>0.0005462067138319278</td><td>4.278678522595669</td><td>8.50875701981483</td><td>0.0005462067138319278</td><td>14.30487506226541</td><td>8.518375778970103</td><td>0.0005462067138319278</td><td>2.060336901088533</td><td>8.507394009839857</td><td>0.0008800709028840251</td><td>5.00883279297426</td><td>8.51701276899513</td><td>0.0008800709028840251</td><td>0.8292022624090123</td><td>8.457551841231261</td><td>0.03737135344433168</td><td>0.4619404858630105</td><td>8.452087784585338</td><td>0.0005462067138319278</td><td>2.318412128943237</td><td>8.78598459150544</td><td>0.0020000001112896524</td><td>8.111216143191768</td><td>8.789885368877652</td><td>0.002000000095275739</td><td>4.696952826677148</td><td>8.790068306909061</td><td>0.005412240546499431</td><td>14.050861030234785</td><td>8.789042065221594</td><td>0.0005309038220390577</td><td>2.9734370521339315</td><td>8.786790440160559</td><td>0.0005309038220390577</td><td>8.920311156401795</td><td>8.792185375768469</td><td>0.0005309038220390577</td><td>3.4569180851207193</td><td>8.812182018834875</td><td>0.0005309038220390577</td><td>3.4569180851207193</td><td>8.814320156652258</td><td>0.0005309038220390577</td><td>0.010774159342474832</td><td>2.994360867491716</td><td>0.11029788193894774</td><td>8.23288052455537</td><td>0.001455011509895701</td><td>0.09840461778765075</td><td>-4.969670333908805</td><td>0.5254457979830818</td><td>8.268879866160674</td><td>0.0003729725424740957</td><td>0.5254457979830818</td><td>8.268879866160674</td><td>0.0003729725421481175</td></tr>\n",
       "<tr><td>0.0</td><td>3000.0</td><td>0.0</td><td>0.5643485678774596</td><td>1434.1960229441534</td><td>-0.0023516437570622155</td><td>10.787967186232095</td><td>0.44456569457619377</td><td>0.0</td><td>15000.0</td><td>0.5</td><td>-9154.818422369126</td><td>2.8046050094905794</td><td>-0.0003244621088605527</td><td>1.0807876815732698</td><td>8.318107572333204</td><td>0.0031667972578419577</td><td>0.12109424574191507</td><td>8.321817771410121</td><td>0.000926676603247146</td><td>3.6690356308710648</td><td>8.37743163240874</td><td>0.0038217935097304835</td><td>3.3977037849908243</td><td>8.37972516853086</td><td>0.0002513825664074695</td><td>4.218788096643777</td><td>8.488949895185744</td><td>0.00501461530290811</td><td>1.4973883244451258</td><td>8.490639629077991</td><td>0.0020000001402077044</td><td>2.1743845612931523</td><td>8.488726174925535</td><td>0.0006682941993983331</td><td>4.169857237279473</td><td>8.508601701353758</td><td>0.0006682941993983331</td><td>15.304350564626645</td><td>8.518220460509031</td><td>0.0006682941993983331</td><td>1.5394491237330499</td><td>8.506497527798786</td><td>0.00023000000516178634</td><td>4.229700478752818</td><td>8.516116286954059</td><td>0.00023000000516178634</td><td>0.6564954135868106</td><td>8.457551841389114</td><td>0.04237053538395954</td><td>1.1625911344737005</td><td>8.451932466124266</td><td>0.0006682941993983331</td><td>6.5360178380657885</td><td>8.789895900997617</td><td>0.0020000000951606606</td><td>0.8220574221340371</td><td>8.79598524902148</td><td>0.013182833842770416</td><td>6.593510737396002</td><td>8.789145692294571</td><td>0.003993905446341279</td><td>13.592854064548021</td><td>8.788976342190077</td><td>0.0005000005169516473</td><td>3.143669768945756</td><td>8.786724717129042</td><td>0.0005000005169516473</td><td>9.431009306837268</td><td>8.792119652736952</td><td>0.0005000005169516473</td><td>3.6011921222822707</td><td>8.812116295803358</td><td>0.0005000005169516473</td><td>3.6011921222822707</td><td>8.814254433620741</td><td>0.0005000005169516473</td><td>0.4680250631494687</td><td>2.9874677276694506</td><td>0.5040484696294811</td><td>8.213756049570767</td><td>0.001670507914765008</td><td>0.0005384581669432009</td><td>-4.998130092614071</td><td>0.004056754931980322</td><td>8.269400435373711</td><td>0.0013057217055866329</td><td>0.004056754931980322</td><td>8.269400435373711</td><td>0.0013057217055866329</td></tr>\n",
       "<tr><td>0.0</td><td>3000.0</td><td>0.0</td><td>0.6142947261977838</td><td>1200.8710786034992</td><td>-0.0027586009119083344</td><td>11.238611152819544</td><td>0.4433910960339418</td><td>0.0</td><td>15000.0</td><td>0.5</td><td>-10046.854652439286</td><td>3.19405848606359</td><td>-0.00037767152494260923</td><td>1.3034257007049632</td><td>8.32014846201595</td><td>0.0020000000953511324</td><td>1.609054556261924</td><td>8.316994614978801</td><td>0.0009822605976931957</td><td>2.3325352760394935</td><td>8.379648054528937</td><td>0.00577127292988132</td><td>1.4467071984824997</td><td>8.375862282769573</td><td>0.002000000094660896</td><td>4.3440984143217065</td><td>8.489684276179563</td><td>0.003832107070183968</td><td>1.0223843993628634</td><td>8.48934257617349</td><td>0.00976041432651572</td><td>4.623382787727337</td><td>8.488913379092967</td><td>0.0004375463583922897</td><td>1.9607776513552722</td><td>8.50878890552119</td><td>0.0004375463583922897</td><td>8.211709090488739</td><td>8.518407664676463</td><td>0.0004375463583922897</td><td>1.8790602407392498</td><td>8.50838219634225</td><td>0.001039663293646756</td><td>8.535183670943525</td><td>8.518000955497524</td><td>0.001039663293646756</td><td>0.5772443634199931</td><td>8.457551841316933</td><td>0.05000000051148719</td><td>0.15421386390102043</td><td>8.452119670291697</td><td>0.0004375463583922897</td><td>4.338188697161627</td><td>8.79050784868481</td><td>0.0020000000950111535</td><td>8.229407155724289</td><td>8.788986964740001</td><td>0.0035467460928740135</td><td>1.1181416903482955</td><td>8.79294961980598</td><td>0.011460893211267592</td><td>14.194362352171197</td><td>8.789035949871474</td><td>0.0005546516262735989</td><td>2.766652462682373</td><td>8.786784324810439</td><td>0.0005546516262735989</td><td>8.299957388047119</td><td>8.792179260418349</td><td>0.0005546516262735989</td><td>3.1894148433408986</td><td>8.812175903484755</td><td>0.0005546516262735989</td><td>3.1894148433408986</td><td>8.814314041302138</td><td>0.0005546516262735989</td><td>0.48891668491535256</td><td>2.2029575632616956</td><td>1.951391825905091</td><td>8.213906164235059</td><td>0.0016707545733551374</td><td>0.045277115390263134</td><td>-4.997604689428217</td><td>0.44595827031201907</td><td>8.283422449820923</td><td>0.001499150378238636</td><td>0.44595827031201907</td><td>8.283422449820923</td><td>0.0014991503782420682</td></tr>\n",
       "<tr><td>0.0</td><td>3000.0</td><td>0.0</td><td>0.6142947261977838</td><td>1200.8710786034992</td><td>-0.0027586009119083344</td><td>11.238611152819544</td><td>0.4433910960339418</td><td>0.0</td><td>15000.0</td><td>0.5</td><td>-10046.854652439286</td><td>3.19405848606359</td><td>-0.00037767152494260923</td><td>1.6147849724035268</td><td>8.31778339377526</td><td>0.0020000000957866478</td><td>0.9293876779281618</td><td>8.31001099271529</td><td>0.000872680553252637</td><td>3.8026631843379732</td><td>8.377445418707131</td><td>0.004233091167503427</td><td>0.019166890297128703</td><td>8.376578908838356</td><td>0.0020000000944625914</td><td>2.9975455451136668</td><td>8.489646893906366</td><td>0.0020000030153442053</td><td>3.731399078610309</td><td>8.489152162465423</td><td>0.004941620991089857</td><td>0.938770172709269</td><td>8.48867822192138</td><td>0.0007685572392981543</td><td>4.16724488250253</td><td>8.508553748349602</td><td>0.0007685572392981543</td><td>14.219044275343151</td><td>8.518172507504875</td><td>0.0007685572392981543</td><td>0.21910639969036083</td><td>8.519221076252114</td><td>0.003999999331714763</td><td>0.15418277765633093</td><td>8.528839835407387</td><td>0.003999999331714763</td><td>0.6473982461230321</td><td>8.457551831496616</td><td>0.048177660754185794</td><td>0.7426942394417324</td><td>8.45188451312011</td><td>0.0007685572392981543</td><td>1.9303164622286317</td><td>8.784163981602191</td><td>0.002000000095751127</td><td>2.010653865625045</td><td>8.79256334479831</td><td>0.00828048253530061</td><td>10.8011682931064</td><td>8.789864532730823</td><td>0.0025927800782150822</td><td>14.934851133574512</td><td>8.789033791673754</td><td>0.0005667370808685181</td><td>3.0162777830966547</td><td>8.786782166612719</td><td>0.0005667370808685181</td><td>9.048833349289964</td><td>8.792177102220629</td><td>0.0005667370808685181</td><td>3.3312569369670086</td><td>8.812173745287035</td><td>0.0005667370808685181</td><td>3.3312569369670086</td><td>8.814311883104418</td><td>0.0005667370808685181</td><td>2.073840543737049</td><td>2.9735983403611366</td><td>0.5995409724235401</td><td>8.230330731732176</td><td>0.0003880353687252342</td><td>7.771561172376096e-06</td><td>-4.639375683906554</td><td>1.4432899320127035e-05</td><td>8.267975095252044</td><td>0.00037746789683262784</td><td>1.4432899320127035e-05</td><td>8.267975095252044</td><td>0.0003774678968326826</td></tr>\n",
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       "<tr><td>0.0</td><td>3000.0</td><td>0.0</td><td>0.5873834751923823</td><td>1576.5582338504269</td><td>-0.0033101854954212095</td><td>10.53540310547163</td><td>0.44212560322600236</td><td>0.0</td><td>15000.0</td><td>0.5</td><td>-8650.780091414688</td><td>2.604459491700927</td><td>-0.00030220853504989354</td><td>1.3475331961387838</td><td>8.318261298643096</td><td>0.0020000000962397094</td><td>4.998572666892187</td><td>8.315769457488532</td><td>0.00027504051146716576</td><td>2.9671320955770852</td><td>8.378678431455235</td><td>0.003945549934480649</td><td>1.3147727351281446</td><td>8.374567533392458</td><td>0.0020000000949649058</td><td>0.9447748139379541</td><td>8.488811851533248</td><td>0.012201609272005191</td><td>4.723090252234385</td><td>8.489550836340502</td><td>0.004570865096216889</td><td>2.648209984634775</td><td>8.488704366548307</td><td>0.0007064483369031553</td><td>4.694702959717745</td><td>8.50857989297653</td><td>0.0007064483369031553</td><td>15.71428487334714</td><td>8.518198652131803</td><td>0.0007064483369031553</td><td>0.8341832780089931</td><td>8.506551863490303</td><td>0.0003239742313513504</td><td>2.500468165855807</td><td>8.516170622645577</td><td>0.0003239742313513504</td><td>1.0347828149903648</td><td>8.45755184158477</td><td>0.004379832336852834</td><td>1.8862056361257373</td><td>8.451910657747037</td><td>0.0007064483369031553</td><td>6.705652699778852</td><td>8.789242105737896</td><td>0.0036857400890059813</td><td>5.914454481725784</td><td>8.78985068599964</td><td>0.0021985185687094693</td><td>1.3072509741363092</td><td>8.793028708151857</td><td>0.011036968199097857</td><td>13.454853897698626</td><td>8.788974472937014</td><td>0.0005139947617628545</td><td>2.2817880918069022</td><td>8.786722847875978</td><td>0.0005139947617628545</td><td>6.845364275420707</td><td>8.792117783483889</td><td>0.0005139947617628545</td><td>3.400772441430888</td><td>8.812114426550295</td><td>0.0005139947617628545</td><td>3.400772441430888</td><td>8.814252564367678</td><td>0.0005139947617628545</td><td>2.241282714976478</td><td>-4.983581143997383</td><td>10.662136173955616</td><td>8.223282178667466</td><td>0.0006582844710505905</td><td>0.0035227376571356217</td><td>-4.992515836693519</td><td>1.9340068435624858</td><td>8.286671068148948</td><td>0.001509447871630206</td><td>1.9340068435624858</td><td>8.286671068148948</td><td>0.0015094478715916477</td></tr>\n",
       "<tr><td>0.0</td><td>3000.0</td><td>0.0</td><td>0.7889960906837246</td><td>1789.9247961441097</td><td>-0.0021758940194326927</td><td>11.791573273356448</td><td>0.4402019664214514</td><td>0.0</td><td>15000.0</td><td>0.5</td><td>-11296.331947851026</td><td>3.759739839996736</td><td>-0.0004535268058257752</td><td>1.7387197237539453</td><td>8.317778356632758</td><td>0.0020000000957374046</td><td>0.01374067526427325</td><td>8.314470543802761</td><td>0.00023000000672774348</td><td>2.9459207295801093</td><td>8.376991626279116</td><td>0.0036835447157297606</td><td>1.0102824132829369</td><td>8.380029334073122</td><td>0.002000000081895017</td><td>3.1019203872162393</td><td>8.489580101232463</td><td>0.004716978787291179</td><td>1.5123957641804964</td><td>8.489952177446254</td><td>0.004649792847291783</td><td>3.4338976107051167</td><td>8.4887220168465</td><td>0.0008242251835220379</td><td>1.9291029884627164</td><td>8.508597543274723</td><td>0.0008242251835220379</td><td>13.66691315674018</td><td>8.518216302429996</td><td>0.0008242251835220379</td><td>0.11749379247305569</td><td>8.499584075876356</td><td>0.0013065593812046712</td><td>1.5769907601992372</td><td>8.50920283503163</td><td>0.0013065593812046712</td><td>0.6675154873292399</td><td>8.457551613183059</td><td>0.04314621664907693</td><td>0.17192192114379168</td><td>8.45192830804523</td><td>0.0008242251835220379</td><td>1.211694078406822</td><td>8.794903604111502</td><td>0.00947384670145308</td><td>5.448258511009385</td><td>8.78859444637497</td><td>0.004330998605514997</td><td>7.019496095495015</td><td>8.789886978015675</td><td>0.0020000000958069145</td><td>12.919235126140904</td><td>8.788961111142855</td><td>0.0005502537905386926</td><td>3.2409358530216537</td><td>8.78670948608182</td><td>0.0005502537905386926</td><td>9.722807559064961</td><td>8.79210442168973</td><td>0.0005502537905386926</td><td>2.9437757786965335</td><td>8.812101064756137</td><td>0.0005502537905386926</td><td>2.9437757786965335</td><td>8.81423920257352</td><td>0.0005502537905386926</td><td>0.4786937513046041</td><td>2.98369272850433</td><td>0.0015265566588595902</td><td>8.227425986912351</td><td>0.00035342530947158777</td><td>0.0017069679003611782</td><td>-4.9924641690339815</td><td>0.008234524173644786</td><td>8.283128329092701</td><td>0.0011262670303928861</td><td>0.008234524173644786</td><td>8.283128329092701</td><td>0.0011262670303928861</td></tr>\n",
       "<tr><td>0.0</td><td>3000.0</td><td>0.0</td><td>0.5259315205563553</td><td>1506.937206439988</td><td>-0.0024253749681430094</td><td>10.842045039538561</td><td>0.44533864452570526</td><td>0.0</td><td>15000.0</td><td>0.5</td><td>-8565.162949740481</td><td>2.422149753748385</td><td>-0.0002680935186966368</td><td>1.2945483574000605</td><td>8.31816654973612</td><td>0.002261075838259271</td><td>0.15421386390102043</td><td>8.30944656394453</td><td>0.00023000000862879707</td><td>3.7792663443170227</td><td>8.377312547386015</td><td>0.003703424500977509</td><td>3.0566282838151437</td><td>8.379790476496659</td><td>0.00023399012481888068</td><td>2.5600793707170055</td><td>8.490374189246689</td><td>0.007571267340160058</td><td>3.169660089952231</td><td>8.488990795795457</td><td>0.003321650397948687</td><td>3.0548519269757435</td><td>8.489018100803383</td><td>0.000561804060481377</td><td>0.002808864252301646</td><td>8.508893627231606</td><td>0.000561804060481377</td><td>9.568394965242533</td><td>8.51851238638688</td><td>0.000561804060481377</td><td>4.308039480704906</td><td>8.508270941845469</td><td>0.0009195556054488919</td><td>7.86954168496834</td><td>8.517889701000742</td><td>0.0009195556054488919</td><td>0.9263434463946396</td><td>8.457551841616525</td><td>0.008567203367851044</td><td>0.15421386390102043</td><td>8.452224392002114</td><td>0.000561804060481377</td><td>5.373855249679593</td><td>8.790665721522673</td><td>0.0020000000950466694</td><td>7.195635753909357</td><td>8.78873247045527</td><td>0.0034765332773281773</td><td>1.240838543026257</td><td>8.791372485183139</td><td>0.010493980427902918</td><td>14.829356076440092</td><td>8.788986741374405</td><td>0.0005587881021556196</td><td>2.8149865771709415</td><td>8.78673511631337</td><td>0.0005587881021556196</td><td>8.444959731512824</td><td>8.79213005192128</td><td>0.0005587881021556196</td><td>3.4897212897178065</td><td>8.812126694987686</td><td>0.0005587881021556196</td><td>3.4897212897178065</td><td>8.814264832805069</td><td>0.0005587881021556196</td><td>2.5846719209354774</td><td>-4.994681574604963</td><td>11.237626940108214</td><td>8.223354105619467</td><td>0.0005684405722806099</td><td>0.00498434626905464</td><td>-4.953602343243585</td><td>0.06439071498220983</td><td>8.284114202738174</td><td>0.0016666808296033077</td><td>0.06439071498220983</td><td>8.284114202738174</td><td>0.0016666808310582194</td></tr>\n",
       "<tr><td>0.0</td><td>3000.0</td><td>0.0</td><td>0.5450406792562035</td><td>1492.4469549824385</td><td>-0.0018155830566281613</td><td>12.044394925858626</td><td>0.23050072009962896</td><td>0.0</td><td>15000.0</td><td>0.5</td><td>-10140.204509197556</td><td>3.4409037988521303</td><td>-0.000406904635224366</td><td>1.4282075522231708</td><td>8.318670146513952</td><td>0.003115823357917663</td><td>2.0997598104699478</td><td>8.312678203928973</td><td>0.00023000000533427125</td><td>3.0940355832953514</td><td>8.378182160261346</td><td>0.004624645345134201</td><td>0.2523858899650122</td><td>8.37533685179401</td><td>0.0020000000103866634</td><td>3.731849829158307</td><td>8.48823749247976</td><td>0.006223477844916244</td><td>2.360145967550409</td><td>8.490729301319613</td><td>0.0020000000970141303</td><td>3.338407328357107</td><td>8.488661121216985</td><td>0.0008885006755473937</td><td>3.9142339369746537</td><td>8.508536647645208</td><td>0.0008885006755473937</td><td>13.181887248414625</td><td>8.518155406800481</td><td>0.0008885006755473937</td><td>1.383366199370073</td><td>8.50266972426623</td><td>0.0007173517292900827</td><td>0.2260208686877263</td><td>8.512288483421504</td><td>0.0007173517292900827</td><td>0.8653511240908074</td><td>8.457551841506188</td><td>0.008088646385793666</td><td>0.8413092444925496</td><td>8.451867412415716</td><td>0.0008885006755473937</td><td>4.416002563623067</td><td>8.790600726305708</td><td>0.0020000000950373994</td><td>7.783681477135929</td><td>8.788902506634459</td><td>0.0033639098093711083</td><td>1.4144174720343017</td><td>8.793326438591887</td><td>0.010512493927273131</td><td>14.465124653639805</td><td>8.789007104206721</td><td>0.0005668036759318229</td><td>2.599867543473522</td><td>8.786755479145686</td><td>0.0005668036759318229</td><td>7.799602630420566</td><td>8.792150414753596</td><td>0.0005668036759318229</td><td>2.8571806032218205</td><td>8.812147057820003</td><td>0.0005668036759318229</td><td>2.8571806032218205</td><td>8.814285195637385</td><td>0.0005668036759318229</td><td>0.329873905968725</td><td>2.991179802090689</td><td>1.9372597970246375</td><td>8.213757729020907</td><td>0.0016797811255649983</td><td>0.0006011857678345223</td><td>-4.999405736374385</td><td>0.006763478666016454</td><td>8.28358977303934</td><td>0.0016409205307908283</td><td>0.006763478666016454</td><td>8.28358977303934</td><td>0.0016409205307889852</td></tr>\n",
       "<tr><td>...</td><td>...</td><td>...</td><td>...</td><td>...</td><td>...</td><td>...</td><td>...</td><td>...</td><td>...</td><td>...</td><td>...</td><td>...</td><td>...</td><td>...</td><td>...</td><td>...</td><td>...</td><td>...</td><td>...</td><td>...</td><td>...</td><td>...</td><td>...</td><td>...</td><td>...</td><td>...</td><td>...</td><td>...</td><td>...</td><td>...</td><td>...</td><td>...</td><td>...</td><td>...</td><td>...</td><td>...</td><td>...</td><td>...</td><td>...</td><td>...</td><td>...</td><td>...</td><td>...</td><td>...</td><td>...</td><td>...</td><td>...</td><td>...</td><td>...</td><td>...</td><td>...</td><td>...</td><td>...</td><td>...</td><td>...</td><td>...</td><td>...</td><td>...</td><td>...</td><td>...</td><td>...</td><td>...</td><td>...</td><td>...</td><td>...</td><td>...</td><td>...</td><td>...</td><td>...</td><td>...</td><td>...</td><td>...</td><td>...</td><td>...</td><td>...</td><td>...</td><td>...</td><td>...</td><td>...</td><td>...</td><td>...</td><td>...</td><td>...</td><td>...</td><td>...</td><td>...</td><td>...</td><td>...</td><td>...</td></tr>\n",
       "<tr><td>0.0</td><td>3000.0</td><td>0.0</td><td>0.634215457928633</td><td>1493.0914473033033</td><td>-0.001530993094655625</td><td>11.569949998069262</td><td>0.44162681640851886</td><td>0.0</td><td>15000.0</td><td>0.5</td><td>-10134.220774274549</td><td>3.1118770458786544</td><td>-0.0003581625684469353</td><td>1.2171802454830072</td><td>8.320766249073358</td><td>0.002000000104533614</td><td>2.3339791210830185</td><td>8.316721873582221</td><td>0.0008911205637369232</td><td>2.9941349399820183</td><td>8.378239335654575</td><td>0.004913597176832724</td><td>1.60029933748973</td><td>8.377588307155035</td><td>0.0008404750951804275</td><td>2.673468668668022</td><td>8.489561448975062</td><td>0.003975192516226647</td><td>2.673468668668022</td><td>8.489561384865802</td><td>0.003975260826713362</td><td>2.5724522512149406</td><td>8.488719494831168</td><td>0.0007793118902815392</td><td>3.989474861576525</td><td>8.50859502125939</td><td>0.0007793118902815392</td><td>12.499923318642914</td><td>8.518213780414664</td><td>0.0007793118902815392</td><td>0.075343065120137</td><td>8.5065471635049</td><td>0.0006242634120299784</td><td>0.13685219624193223</td><td>8.516165922660173</td><td>0.0006242634120299784</td><td>0.6548434017261684</td><td>8.457551841345694</td><td>0.04999123202647395</td><td>0.4948408349747524</td><td>8.451925786029898</td><td>0.0007793118902815392</td><td>7.830207593428895</td><td>8.78912067349933</td><td>0.0043159799465683785</td><td>5.7555399335385005</td><td>8.790282485923669</td><td>0.0020000000956701463</td><td>0.8341860535665546</td><td>8.804448737264305</td><td>0.0045943213261096325</td><td>14.965549910428422</td><td>8.789002769079426</td><td>0.0005269845018405271</td><td>2.752697514374347</td><td>8.78675114401839</td><td>0.0005269845018405271</td><td>8.258092543123041</td><td>8.792146079626301</td><td>0.0005269845018405271</td><td>3.7050634782431757</td><td>8.812142722692707</td><td>0.0005269845018405271</td><td>3.7050634782431757</td><td>8.81428086051009</td><td>0.0005269845018405271</td><td>2.1488238965972073</td><td>-4.995065271346051</td><td>11.196463201024187</td><td>8.223260537922684</td><td>0.0005224853383963481</td><td>0.0012406742300186124</td><td>0.6430462173002667</td><td>0.016273093983443232</td><td>8.272437023423587</td><td>0.0016576693772142814</td><td>0.016273093983443232</td><td>8.272437023423587</td><td>0.001657669377194709</td></tr>\n",
       "<tr><td>0.0</td><td>3000.0</td><td>0.0</td><td>0.7311751204497341</td><td>2997.93341430471</td><td>-0.004365690479343401</td><td>11.061370153164773</td><td>0.48707807379588175</td><td>0.0</td><td>15000.0</td><td>0.5</td><td>-9792.481926317798</td><td>2.9625780281803573</td><td>-0.00034212191603179927</td><td>1.5591183899488215</td><td>8.316498854549037</td><td>0.002000000095295228</td><td>2.3412571881209487</td><td>8.321245584555818</td><td>0.00023000000513514503</td><td>2.8373242644263996</td><td>8.37919648705235</td><td>0.004285773317186917</td><td>1.1285972156827029</td><td>8.373925572315057</td><td>0.002000000094990997</td><td>2.5467300490689126</td><td>8.490465787575609</td><td>0.0020000000957351265</td><td>3.8978048566562506</td><td>8.489397905819375</td><td>0.006291658463441424</td><td>2.053449632555271</td><td>8.488640454829001</td><td>0.0008808790392148959</td><td>4.0794501110497094</td><td>8.508515981257224</td><td>0.0008808790392148959</td><td>13.35820509762442</td><td>8.518134740412497</td><td>0.0008808790392148959</td><td>2.4394253284043543</td><td>8.50467024735863</td><td>0.0002541541203415959</td><td>0.36123715130287337</td><td>8.514289006513904</td><td>0.0002541541203415959</td><td>0.8977540932875172</td><td>8.457551841527899</td><td>0.007489816960998047</td><td>0.8717826460724609</td><td>8.451846746027732</td><td>0.0008808790392148959</td><td>1.6486362275358601</td><td>8.794156694203021</td><td>0.009042000810801717</td><td>7.629811782372542</td><td>8.788916072744444</td><td>0.0034667607766933157</td><td>4.101072259565797</td><td>8.790317908135586</td><td>0.002000000094995228</td><td>15.614979864686518</td><td>8.78895840295262</td><td>0.0005000000240372939</td><td>2.6105206885063126</td><td>8.786706777891585</td><td>0.0005000000240372939</td><td>7.831562065518938</td><td>8.792101713499495</td><td>0.0005000000240372939</td><td>3.50128481763079</td><td>8.812098356565901</td><td>0.0005000000240372939</td><td>3.50128481763079</td><td>8.814236494383284</td><td>0.0005000000240372939</td><td>0.6102474081615128</td><td>2.9637861156744414</td><td>0.4543010412305648</td><td>8.232201668208212</td><td>0.0003953688496463989</td><td>5.551115123125783e-06</td><td>-4.989827477009351</td><td>6.106226635438361e-06</td><td>8.278194045435136</td><td>0.0003658567922056578</td><td>6.106226635438361e-06</td><td>8.278194045435136</td><td>0.0003658567922056519</td></tr>\n",
       "<tr><td>0.0</td><td>3000.0</td><td>0.0</td><td>0.5970485217332566</td><td>1842.5563971821257</td><td>-0.0011148761796629814</td><td>11.810548650181829</td><td>0.44640161820554614</td><td>0.0</td><td>15000.0</td><td>0.5</td><td>-10567.661263487764</td><td>3.271980327518819</td><td>-0.00037894644058270873</td><td>1.9038215448574647</td><td>8.3171965726182</td><td>0.002079320771144982</td><td>2.038999524778262</td><td>8.321329050829005</td><td>0.0005985123134294472</td><td>2.9867192052890346</td><td>8.378220454716656</td><td>0.004061764294764668</td><td>1.1467948812793338</td><td>8.373350433787586</td><td>0.002000000094969385</td><td>4.098978378941354</td><td>8.489017629583243</td><td>0.004679582338956991</td><td>1.7631812676555114</td><td>8.490106995599305</td><td>0.0023970517103645192</td><td>2.908158713843534</td><td>8.488855643589279</td><td>0.0005965541730108845</td><td>5.019935578332024</td><td>8.508731170017501</td><td>0.0005965541730108845</td><td>14.963648653498751</td><td>8.518349929172775</td><td>0.0005965541730108845</td><td>0.741759431654998</td><td>8.507072654643816</td><td>0.0006448760458090635</td><td>4.152578836347232</td><td>8.516691413799089</td><td>0.0006448760458090635</td><td>0.6852318712446959</td><td>8.457551841309424</td><td>0.0500000005114872</td><td>0.2823691280795515</td><td>8.45206193478801</td><td>0.0005965541730108845</td><td>5.965221649972818</td><td>8.789670165138434</td><td>0.002000000095114599</td><td>5.645102718609962</td><td>8.789221603742996</td><td>0.003933053263869297</td><td>1.2827544582094674</td><td>8.792012186334535</td><td>0.010520103327492598</td><td>14.406951742707008</td><td>8.789003184197993</td><td>0.0005569577342623029</td><td>3.3331820636917087</td><td>8.786751559136958</td><td>0.0005569577342623029</td><td>9.999546191075126</td><td>8.792146494744868</td><td>0.0005569577342623029</td><td>3.105546375614665</td><td>8.812143137811274</td><td>0.0005569577342623029</td><td>3.105546375614665</td><td>8.814281275628657</td><td>0.0005569577342623029</td><td>0.40926650957118227</td><td>2.7933248730595874</td><td>1.2942302785035054</td><td>8.214324859484169</td><td>0.0016811270047711248</td><td>0.00019206858326015208</td><td>-2.6266725525106898</td><td>0.01015354467170937</td><td>8.272380734014146</td><td>0.0016766989269558971</td><td>0.01015354467170937</td><td>8.272380734014146</td><td>0.001676698926945928</td></tr>\n",
       "<tr><td>0.0</td><td>3000.0</td><td>0.0</td><td>0.6841582855798833</td><td>1986.9415351726432</td><td>-0.0014654991568548714</td><td>10.984177456485611</td><td>0.44608765855329224</td><td>0.0</td><td>15000.0</td><td>0.5</td><td>-9541.1796612872</td><td>2.9573646366445794</td><td>-0.00034448678493298126</td><td>0.6622807857681323</td><td>8.320025338559567</td><td>0.002000000095121023</td><td>2.949896438231292</td><td>8.316481453290875</td><td>0.0010043838671375952</td><td>3.59735852217824</td><td>8.37777288444972</td><td>0.0045235066271864</td><td>0.007087663789206999</td><td>8.378791798086768</td><td>0.00037258454998298604</td><td>2.871349269462087</td><td>8.489552067548088</td><td>0.0040474814388594405</td><td>2.871349269462087</td><td>8.489552132975865</td><td>0.004047401309916052</td><td>1.8095236420379024</td><td>8.488638318262732</td><td>0.0008813168855726758</td><td>4.016885157831496</td><td>8.508513844690954</td><td>0.0008813168855726758</td><td>14.13907213532184</td><td>8.518132603846228</td><td>0.0008813168855726758</td><td>1.6418522097438881</td><td>8.5021477519571</td><td>0.0005198991034730469</td><td>0.013564704914870163</td><td>8.511766511112373</td><td>0.0005198991034730469</td><td>0.6301981159140269</td><td>8.457551836463457</td><td>0.0439386194540852</td><td>0.8619693847577992</td><td>8.451844609461462</td><td>0.0008813168855726758</td><td>8.361279446589265</td><td>8.79035739748288</td><td>0.0020000000952069435</td><td>3.7566127986110587</td><td>8.7904427067327</td><td>0.005742589284333103</td><td>3.5855446389732037</td><td>8.787169847328853</td><td>0.0023846558755368577</td><td>14.806428305647046</td><td>8.788979092257966</td><td>0.0005027823903476581</td><td>2.621608485853244</td><td>8.78672746719693</td><td>0.0005027823903476581</td><td>7.864825457559732</td><td>8.792122402804841</td><td>0.0005027823903476581</td><td>3.9895947656631847</td><td>8.812119045871247</td><td>0.0005027823903476581</td><td>3.9895947656631847</td><td>8.81425718368863</td><td>0.0005027823903476581</td><td>0.3902989043069738</td><td>2.9698165673847887</td><td>1.972120244886355</td><td>8.213764574394347</td><td>0.0016809936326748387</td><td>0.0009231504449758177</td><td>-4.999139907671541</td><td>0.020402568523536502</td><td>8.284374002097971</td><td>0.0009685544467375594</td><td>0.020402568523536502</td><td>8.284374002097971</td><td>0.0009685544467424851</td></tr>\n",
       "<tr><td>0.0</td><td>3000.0</td><td>0.0</td><td>0.6103928473777387</td><td>1418.4610380395707</td><td>-0.0029569161528015895</td><td>11.436702695988288</td><td>0.4408546698945939</td><td>0.0</td><td>15000.0</td><td>0.5</td><td>-10080.224097480976</td><td>3.1457326680752304</td><td>-0.0003671100227668867</td><td>1.2755035916356405</td><td>8.317239019349582</td><td>0.002000000095064884</td><td>1.7579587785476747</td><td>8.32167157213936</td><td>0.0007564076844480282</td><td>1.7283091624520353</td><td>8.378812785565053</td><td>0.005830931912932182</td><td>1.9423507247040561</td><td>8.376100874422034</td><td>0.0020000000949712735</td><td>3.8045622208215946</td><td>8.488913401234736</td><td>0.0048443153563221975</td><td>2.252191766416445</td><td>8.490348785378536</td><td>0.002000000095669704</td><td>2.9411689750347136</td><td>8.488721387619972</td><td>0.0007816665878526974</td><td>4.568697087314888</td><td>8.508596914048194</td><td>0.0007816665878526974</td><td>14.410422854993499</td><td>8.518215673203468</td><td>0.0007816665878526974</td><td>1.619885892090167</td><td>8.50235098752783</td><td>0.00023000000516178634</td><td>0.09475531470570786</td><td>8.511969746683103</td><td>0.00023000000516178634</td><td>0.5665545810273898</td><td>8.457551841618784</td><td>0.0500000005114872</td><td>0.07767952947546064</td><td>8.451927678818702</td><td>0.0007816665878526974</td><td>3.35240002424797</td><td>8.78894911572613</td><td>0.005944902879828433</td><td>10.242502401780484</td><td>8.789651065825318</td><td>0.002539291242686718</td><td>0.6379391459532258</td><td>8.804448737759856</td><td>0.008047884228183519</td><td>13.163384271486223</td><td>8.788991893355691</td><td>0.0005082896695295662</td><td>2.7266511271051286</td><td>8.786740268294656</td><td>0.0005082896695295662</td><td>8.179953381315386</td><td>8.792135203902566</td><td>0.0005082896695295662</td><td>2.9261054690365995</td><td>8.812131846968972</td><td>0.0005082896695295662</td><td>2.9261054690365995</td><td>8.814269984786355</td><td>0.0005082896695295662</td><td>0.028249069750074796</td><td>2.997492512375172</td><td>0.5316391771259532</td><td>8.214345278468498</td><td>0.001673318017590867</td><td>0.0015382140006181544</td><td>-4.99872809288159</td><td>0.022150059564296498</td><td>8.26788671894301</td><td>0.001449483703867125</td><td>0.022150059564296498</td><td>8.26788671894301</td><td>0.001449483703870895</td></tr>\n",
       "<tr><td>0.0</td><td>3000.0</td><td>0.0</td><td>0.8030093257005433</td><td>3134.415731222168</td><td>-0.0011282837738421352</td><td>11.13646119765832</td><td>0.44153485736499754</td><td>0.0</td><td>15000.0</td><td>0.5</td><td>-10112.163396064443</td><td>3.210474209091893</td><td>-0.0003741116745725321</td><td>1.3488249406279351</td><td>8.31725910129137</td><td>0.00200000009500551</td><td>2.729560466541159</td><td>8.321114647388159</td><td>0.0003546870952758508</td><td>2.2385221454257476</td><td>8.378692784299073</td><td>0.005447741424918328</td><td>1.6901591237683533</td><td>8.3767942984645</td><td>0.0020000000943834854</td><td>2.671484700123017</td><td>8.48945260872538</td><td>0.004091509577681351</td><td>2.671484700123017</td><td>8.489452707087727</td><td>0.004091413078593838</td><td>2.11240802627799</td><td>8.488713965376574</td><td>0.0008633463019487177</td><td>4.6448739299265185</td><td>8.508589491804797</td><td>0.0008633463019487177</td><td>12.613901034796982</td><td>8.51820825096007</td><td>0.0008633463019487177</td><td>0.047686854465212036</td><td>8.50100460781843</td><td>0.003998970551090981</td><td>0.0014549472737712676</td><td>8.510623366973704</td><td>0.003998970551090981</td><td>0.5457295726429834</td><td>8.457424964552493</td><td>0.04995505056749336</td><td>0.5670119929135353</td><td>8.451920256575304</td><td>0.0008633463019487177</td><td>0.9761791375240136</td><td>8.794949591608537</td><td>0.011788188941870599</td><td>5.665592439640932</td><td>8.790161066732935</td><td>0.0020000000951160804</td><td>7.408580415813049</td><td>8.789017806397343</td><td>0.003641582715323264</td><td>13.942461629667946</td><td>8.788995169571525</td><td>0.0005132641978099427</td><td>2.829579903718127</td><td>8.78674354451049</td><td>0.0005132641978099427</td><td>8.48873971115438</td><td>8.7921384801184</td><td>0.0005132641978099427</td><td>3.3946606636803267</td><td>8.812135123184806</td><td>0.0005132641978099427</td><td>3.3946606636803267</td><td>8.814273261002189</td><td>0.0005132641978099427</td><td>0.3256811487162281</td><td>2.9575764688340263</td><td>4.195686020835865</td><td>8.222600668162851</td><td>0.0016672284070779746</td><td>0.001070254995738651</td><td>0.7010201577290847</td><td>0.06122158335841732</td><td>8.271245142390972</td><td>0.0008389204459269096</td><td>0.06122158335841732</td><td>8.271245142390972</td><td>0.0008389204459030448</td></tr>\n",
       "<tr><td>0.0</td><td>3000.0</td><td>0.0</td><td>0.6825046083847042</td><td>1785.2323846121426</td><td>-0.0012269329863624188</td><td>11.416079193082851</td><td>0.4204908253252171</td><td>0.0</td><td>15000.0</td><td>0.5</td><td>-10176.98720468524</td><td>3.2255249242318227</td><td>-0.0003767699372020325</td><td>1.1871675864583153</td><td>8.319811449321918</td><td>0.002308421662710738</td><td>4.180038537526798</td><td>8.315949430348946</td><td>0.00023000000667490258</td><td>3.2606106703525484</td><td>8.378390676604559</td><td>0.0040733095792207935</td><td>1.1845480152317123</td><td>8.374947279345884</td><td>0.0020000000898619955</td><td>1.8432871895512903</td><td>8.490486055377739</td><td>0.0021164129196855888</td><td>4.454569491052496</td><td>8.488743695235812</td><td>0.004166087801061215</td><td>1.7174184296919748</td><td>8.488705422132076</td><td>0.0007968916067434008</td><td>4.386144225598798</td><td>8.508580948560299</td><td>0.0007968916067434008</td><td>14.449262342175473</td><td>8.518199707715572</td><td>0.0007968916067434008</td><td>1.2693607276403895</td><td>8.502531779705548</td><td>0.0006432620262034257</td><td>0.1544325778368716</td><td>8.512150538860821</td><td>0.0006432620262034257</td><td>0.7092876286307614</td><td>8.45755184155836</td><td>0.04999999044512746</td><td>0.6159739385225294</td><td>8.451911713330807</td><td>0.0007968916067434008</td><td>0.5159767058060538</td><td>8.786041763711793</td><td>0.0175983401488056</td><td>9.119208721486416</td><td>8.789439162393938</td><td>0.0037738387539801854</td><td>3.651335345189466</td><td>8.79070566524442</td><td>0.0020000000974211324</td><td>13.935181897295479</td><td>8.788985576507782</td><td>0.0005687422413102379</td><td>2.2082191630801162</td><td>8.786733951446747</td><td>0.0005687422413102379</td><td>6.624657489240349</td><td>8.792128887054657</td><td>0.0005687422413102379</td><td>3.43008177416948</td><td>8.812125530121063</td><td>0.0005687422413102379</td><td>3.43008177416948</td><td>8.814263667938446</td><td>0.0005687422413102379</td><td>0.5386191492817716</td><td>1.0882334853806448</td><td>11.688846557333932</td><td>8.223366222568835</td><td>0.00048269835062378895</td><td>0.004218292382063282</td><td>2.9971202312956446</td><td>0.00809741163010358</td><td>8.282951794811602</td><td>0.0016757428489882287</td><td>0.00809741163010358</td><td>8.282951794811602</td><td>0.0016757428489867188</td></tr>\n",
       "<tr><td>0.0</td><td>3000.0</td><td>0.0</td><td>0.6026745769105446</td><td>1583.166632784017</td><td>-0.003117161726699116</td><td>11.291180768147058</td><td>0.44412598687965144</td><td>0.0</td><td>15000.0</td><td>0.5</td><td>-10000.936760287801</td><td>3.149719711323447</td><td>-0.00037012014440479296</td><td>1.2747369826371369</td><td>8.317938547475345</td><td>0.0027159495592917813</td><td>0.13060719172841573</td><td>8.321118729833824</td><td>0.0007557830850032575</td><td>2.9678531854315793</td><td>8.378876852472054</td><td>0.004909832582818456</td><td>1.644441249837314</td><td>8.376149045564967</td><td>0.0020000000933543096</td><td>1.3001605347895406</td><td>8.491305637437563</td><td>0.0020140268471009718</td><td>3.6428959848677778</td><td>8.489292811391541</td><td>0.005043447677149416</td><td>4.890483573660731</td><td>8.489286099558612</td><td>0.0005879003938672157</td><td>0.013390955011516326</td><td>8.509161625986835</td><td>0.0005879003938672157</td><td>4.546730214549655</td><td>8.518780385142108</td><td>0.0005879003938672157</td><td>4.077252979683976</td><td>8.508413549241148</td><td>0.0009935536809615119</td><td>9.163821923507953</td><td>8.518032308396421</td><td>0.0009935536809615119</td><td>0.583932346920335</td><td>8.457551841623351</td><td>0.050000000511487196</td><td>0.28746838243165485</td><td>8.452492390757342</td><td>0.0005879003938672157</td><td>2.9375407661902386</td><td>8.790176693142957</td><td>0.002000000095739502</td><td>2.9375496479744356</td><td>8.790176697614594</td><td>0.0020000000957397443</td><td>7.256668044242076</td><td>8.789304962146316</td><td>0.004875777975786326</td><td>15.172587075618083</td><td>8.788988725434908</td><td>0.0005442974335755963</td><td>2.8084135017536482</td><td>8.786737100373873</td><td>0.0005442974335755963</td><td>8.425240505260945</td><td>8.792132035981783</td><td>0.0005442974335755963</td><td>3.785191049487935</td><td>8.81212867904819</td><td>0.0005442974335755963</td><td>3.785191049487935</td><td>8.814266816865572</td><td>0.0005442974335755963</td><td>2.7590346673989075</td><td>-4.999662647509195</td><td>10.802325700609572</td><td>8.22334489051173</td><td>0.000553967961517815</td><td>0.013124501485606288</td><td>-4.992168547728361</td><td>0.328064242438586</td><td>8.283474050018762</td><td>0.0015645989445066918</td><td>0.328064242438586</td><td>8.283474050018762</td><td>0.0015645989445066918</td></tr>\n",
       "<tr><td>0.0</td><td>3000.0</td><td>0.0</td><td>0.708952896388837</td><td>1553.1538785525477</td><td>-0.0018623786199927599</td><td>11.07224312235644</td><td>0.4461374176796973</td><td>0.0</td><td>15000.0</td><td>0.5</td><td>-9869.99053694945</td><td>3.1290056127948196</td><td>-0.0003687771782026961</td><td>1.05110919967899</td><td>8.316860719431018</td><td>0.00200000009554996</td><td>1.4440648676838919</td><td>8.32122194682408</td><td>0.00034790500417992477</td><td>3.5555791644270585</td><td>8.37816243367747</td><td>0.0036915732327132706</td><td>1.6670198554891158</td><td>8.373432691650594</td><td>0.0020000000948688923</td><td>4.647729423545854</td><td>8.489305677153903</td><td>0.0029306427296545007</td><td>1.6326068275063221</td><td>8.492025427901678</td><td>0.00769271198605705</td><td>2.212534044865322</td><td>8.488720318586804</td><td>0.0007749013666118932</td><td>4.682030874114673</td><td>8.508595845015027</td><td>0.0007749013666118932</td><td>13.926498843019885</td><td>8.5182146041703</td><td>0.0007749013666118932</td><td>1.7988238676380774</td><td>8.502961348602739</td><td>0.00023000000683182689</td><td>0.15421386390102043</td><td>8.512580107758012</td><td>0.00023000000683182689</td><td>0.5817402115582126</td><td>8.457551841579514</td><td>0.03425673406025402</td><td>1.498869917071488</td><td>8.451926609785534</td><td>0.0007749013666118932</td><td>1.3777656793223514</td><td>8.79449027870894</td><td>0.009236516066225029</td><td>6.4394045651283705</td><td>8.788993002192505</td><td>0.0038267239141252566</td><td>5.135223912766662</td><td>8.790099311172854</td><td>0.0020000000950457794</td><td>14.301974049502064</td><td>8.789025285237667</td><td>0.0005759611097977633</td><td>3.2281721740190505</td><td>8.786773660176632</td><td>0.0005759611097977633</td><td>9.684516522057152</td><td>8.792168595784542</td><td>0.0005759611097977633</td><td>3.3613428707113258</td><td>8.812165238850948</td><td>0.0005759611097977633</td><td>3.3613428707113258</td><td>8.814303376668331</td><td>0.0005759611097977633</td><td>0.4839323386462979</td><td>2.621080458841785</td><td>2.0881613105316887</td><td>8.213758060156332</td><td>0.00168062791145606</td><td>0.000638378239159465</td><td>-4.999998838517628</td><td>0.008895106873296754</td><td>8.272319501074138</td><td>0.00044683047753159473</td><td>0.008895106873296754</td><td>8.272319501074138</td><td>0.0004468304775329615</td></tr>\n",
       "<tr><td>0.0</td><td>3000.0</td><td>0.0</td><td>0.5496153532291714</td><td>1963.0882846026095</td><td>-0.0019721844649369137</td><td>10.655757942679145</td><td>0.4493408685538345</td><td>0.0</td><td>15000.0</td><td>0.5</td><td>-8708.792335992111</td><td>2.559552890985629</td><td>-0.0002903411192455717</td><td>1.9110008020462033</td><td>8.317349348649616</td><td>0.002000000095734964</td><td>3.579014862253871</td><td>8.321209549490908</td><td>0.0002300000053923681</td><td>2.5151331017880807</td><td>8.378711585215283</td><td>0.0050467725206395034</td><td>1.6385637291449484</td><td>8.375719932944302</td><td>0.002000000094813108</td><td>1.9726426048194412</td><td>8.491166257623664</td><td>0.0020000082592780896</td><td>4.4840953172808895</td><td>8.488510933135858</td><td>0.005347153212847875</td><td>3.685748928283772</td><td>8.488764139985912</td><td>0.0005350450054201355</td><td>5.129775493273314</td><td>8.508639666414135</td><td>0.0005350450054201355</td><td>9.457846728011532</td><td>8.518258425569408</td><td>0.0005350450054201355</td><td>0.9476119888773837</td><td>8.508109537642065</td><td>0.0015088058829645513</td><td>5.675547809502746</td><td>8.517728296797339</td><td>0.0015088058829645513</td><td>1.079799027969841</td><td>8.45755184152155</td><td>0.007404092023266647</td><td>1.2068446242352593</td><td>8.451970431184643</td><td>0.0005350450054201355</td><td>6.130365104439761</td><td>8.789113434876878</td><td>0.004248023279579488</td><td>0.9251616139849261</td><td>8.796373883580117</td><td>0.01336600440114278</td><td>7.456669171013175</td><td>8.789847157733288</td><td>0.002000000095173733</td><td>12.724151732257383</td><td>8.789001172868911</td><td>0.0005000000237554535</td><td>2.6624391580298834</td><td>8.786749547807876</td><td>0.0005000000237554535</td><td>7.98731747408965</td><td>8.792144483415786</td><td>0.0005000000237554535</td><td>3.0067687228907403</td><td>8.812141126482192</td><td>0.0005000000237554535</td><td>3.0067687228907403</td><td>8.814279264299575</td><td>0.0005000000237554535</td><td>2.368546470066235</td><td>-4.990804865172624</td><td>11.108665098902293</td><td>8.223396948939543</td><td>0.00046496187408967646</td><td>2.1649348980190553e-05</td><td>-4.985143145922223</td><td>0.00011823875212257917</td><td>8.282899720405162</td><td>0.0016004959215260121</td><td>0.00011823875212257917</td><td>8.282899720405162</td><td>0.0016004959215253996</td></tr>\n",
       "</table></div>"
      ],
      "text/plain": [
       "<Table length=25>\n",
       "Fe_uv_norm_MC Fe_uv_FWHM_MC ... CaII3934_2_centerwave_MC  CaII3934_2_sigma_MC \n",
       "   float64       float64    ...         float64                 float64       \n",
       "------------- ------------- ... ------------------------ ---------------------\n",
       "          0.0        3000.0 ...        8.268879866160674 0.0003729725421481175\n",
       "          0.0        3000.0 ...        8.269400435373711 0.0013057217055866329\n",
       "          0.0        3000.0 ...        8.283422449820923 0.0014991503782420682\n",
       "          0.0        3000.0 ...        8.267975095252044 0.0003774678968326826\n",
       "          0.0        3000.0 ...        8.285660357633615 0.0007965816480856831\n",
       "          0.0        3000.0 ...        8.286671068148948 0.0015094478715916477\n",
       "          0.0        3000.0 ...        8.283128329092701 0.0011262670303928861\n",
       "          0.0        3000.0 ...        8.284114202738174 0.0016666808310582194\n",
       "          0.0        3000.0 ...         8.28358977303934 0.0016409205307889852\n",
       "          ...           ... ...                      ...                   ...\n",
       "          0.0        3000.0 ...        8.272437023423587  0.001657669377194709\n",
       "          0.0        3000.0 ...        8.278194045435136 0.0003658567922056519\n",
       "          0.0        3000.0 ...        8.272380734014146  0.001676698926945928\n",
       "          0.0        3000.0 ...        8.284374002097971 0.0009685544467424851\n",
       "          0.0        3000.0 ...         8.26788671894301  0.001449483703870895\n",
       "          0.0        3000.0 ...        8.271245142390972 0.0008389204459030448\n",
       "          0.0        3000.0 ...        8.282951794811602 0.0016757428489867188\n",
       "          0.0        3000.0 ...        8.283474050018762 0.0015645989445066918\n",
       "          0.0        3000.0 ...        8.272319501074138 0.0004468304775329615\n",
       "          0.0        3000.0 ...        8.282899720405162 0.0016004959215253996"
      ]
     },
     "execution_count": 7,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "op_dataMC = fits.getdata(specpath, 2)\n",
    "Table(op_dataMC)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "76714a79",
   "metadata": {},
   "source": [
    "**demonstrate the fits file extension=3, which saves the spectrum**"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "id": "e309575f",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div><i>Table length=4516</i>\n",
       "<table id=\"table139909091556672\" class=\"table-striped table-bordered table-condensed\">\n",
       "<thead><tr><th>wave_prereduced</th><th>flux_prereduced</th><th>err_prereduced</th><th>wave_host</th><th>flux_host</th><th>err_host</th><th>flux_pca_qso</th><th>flux_pca_host</th><th>wave_conti_rej_abs</th><th>wave_line_rej_abs</th></tr></thead>\n",
       "<thead><tr><th>float64</th><th>float64</th><th>float64</th><th>float64</th><th>float64</th><th>float64</th><th>float64</th><th>float64</th><th>float64</th><th>float64</th></tr></thead>\n",
       "<tr><td>2900.6647379376836</td><td>7.815748100184569</td><td>12.316240757820442</td><td>3450.6239250370577</td><td>12.729542768558046</td><td>1.782036834660871</td><td>10.7971689953405</td><td>2.066793715750085</td><td>0.0</td><td>4016.0347425105124</td></tr>\n",
       "<tr><td>2901.331959053145</td><td>18.46517441159471</td><td>12.934699563852023</td><td>3451.4174505858327</td><td>10.403287343298784</td><td>1.7687672319026064</td><td>10.765320176938447</td><td>2.0606320537512386</td><td>0.0</td><td>0.0</td></tr>\n",
       "<tr><td>2902.000926312846</td><td>30.005411412632558</td><td>13.3982611697885</td><td>3452.2117521987143</td><td>11.384189549456842</td><td>1.7651258982273204</td><td>10.733440210547727</td><td>2.0202066479003333</td><td>0.0</td><td>0.0</td></tr>\n",
       "<tr><td>2902.6685354603605</td><td>17.973959540413535</td><td>11.977784494276927</td><td>3453.0076059398084</td><td>11.651378883013649</td><td>1.7750564973690466</td><td>10.703336812485784</td><td>1.9990580663516426</td><td>0.0</td><td>0.0</td></tr>\n",
       "<tr><td>2903.337890752114</td><td>3.2889520259469855</td><td>12.09315569171424</td><td>3453.8019075526895</td><td>8.763902069707187</td><td>1.6412470950375848</td><td>10.674580443893667</td><td>1.987597496131251</td><td>0.0</td><td>0.0</td></tr>\n",
       "<tr><td>2904.005887931682</td><td>42.06876401185191</td><td>12.732651598078528</td><td>3454.59853735789</td><td>8.201664901577569</td><td>1.6640078174026571</td><td>10.645739786971518</td><td>2.0034480454692973</td><td>0.0</td><td>0.0</td></tr>\n",
       "<tr><td>2904.6754372394626</td><td>15.86864151093875</td><td>12.770527898690759</td><td>3455.393227002825</td><td>13.37873504172455</td><td>1.811225007623516</td><td>10.6101369108955</td><td>2.0500183633565427</td><td>0.0</td><td>0.0</td></tr>\n",
       "<tr><td>2905.3438224510837</td><td>19.970470498681465</td><td>12.468348949404959</td><td>3456.189856808025</td><td>8.39777858107604</td><td>1.6780678682241934</td><td>10.551590256822555</td><td>2.0411983659247435</td><td>0.0</td><td>0.0</td></tr>\n",
       "<tr><td>2906.012013646678</td><td>23.043763006590776</td><td>12.523139893595346</td><td>3456.984934485013</td><td>8.19581078515941</td><td>1.7272772275910666</td><td>10.49315767319101</td><td>2.0025208151170375</td><td>0.0</td><td>0.0</td></tr>\n",
       "<tr><td>...</td><td>...</td><td>...</td><td>...</td><td>...</td><td>...</td><td>...</td><td>...</td><td>...</td><td>...</td></tr>\n",
       "<tr><td>8194.028631574081</td><td>7.173374757590396</td><td>6.066112531943458</td><td>0.0</td><td>0.0</td><td>0.0</td><td>0.0</td><td>0.0</td><td>0.0</td><td>0.0</td></tr>\n",
       "<tr><td>8195.91834767312</td><td>7.988983995020322</td><td>5.665765517896097</td><td>0.0</td><td>0.0</td><td>0.0</td><td>0.0</td><td>0.0</td><td>0.0</td><td>0.0</td></tr>\n",
       "<tr><td>8197.808063772158</td><td>7.676076923546386</td><td>4.152034562670226</td><td>0.0</td><td>0.0</td><td>0.0</td><td>0.0</td><td>0.0</td><td>0.0</td><td>0.0</td></tr>\n",
       "<tr><td>8199.689243166027</td><td>0.4551225782009759</td><td>3.6354008144360894</td><td>0.0</td><td>0.0</td><td>0.0</td><td>0.0</td><td>0.0</td><td>0.0</td><td>0.0</td></tr>\n",
       "<tr><td>8201.580511393278</td><td>3.0499941773732537</td><td>4.450201078526568</td><td>0.0</td><td>0.0</td><td>0.0</td><td>0.0</td><td>0.0</td><td>0.0</td><td>0.0</td></tr>\n",
       "<tr><td>8203.47177962053</td><td>6.352920310319585</td><td>4.700549934890038</td><td>0.0</td><td>0.0</td><td>0.0</td><td>0.0</td><td>0.0</td><td>0.0</td><td>0.0</td></tr>\n",
       "<tr><td>8205.354511142612</td><td>3.4768744333383035</td><td>4.633393389525321</td><td>0.0</td><td>0.0</td><td>0.0</td><td>0.0</td><td>0.0</td><td>0.0</td><td>0.0</td></tr>\n",
       "<tr><td>8207.246555433969</td><td>11.425905974450323</td><td>4.655393784528642</td><td>0.0</td><td>0.0</td><td>0.0</td><td>0.0</td><td>0.0</td><td>0.0</td><td>0.0</td></tr>\n",
       "<tr><td>8209.139375789433</td><td>11.808808154794383</td><td>4.104776773944589</td><td>0.0</td><td>0.0</td><td>0.0</td><td>0.0</td><td>0.0</td><td>0.0</td><td>0.0</td></tr>\n",
       "<tr><td>8211.032196144897</td><td>11.474692143016263</td><td>6.152772681236851</td><td>0.0</td><td>0.0</td><td>0.0</td><td>0.0</td><td>0.0</td><td>0.0</td><td>0.0</td></tr>\n",
       "</table></div>"
      ],
      "text/plain": [
       "<Table length=4516>\n",
       " wave_prereduced    flux_prereduced   ... wave_conti_rej_abs wave_line_rej_abs \n",
       "     float64            float64       ...      float64            float64      \n",
       "------------------ ------------------ ... ------------------ ------------------\n",
       "2900.6647379376836  7.815748100184569 ...                0.0 4016.0347425105124\n",
       " 2901.331959053145  18.46517441159471 ...                0.0                0.0\n",
       " 2902.000926312846 30.005411412632558 ...                0.0                0.0\n",
       "2902.6685354603605 17.973959540413535 ...                0.0                0.0\n",
       " 2903.337890752114 3.2889520259469855 ...                0.0                0.0\n",
       " 2904.005887931682  42.06876401185191 ...                0.0                0.0\n",
       "2904.6754372394626  15.86864151093875 ...                0.0                0.0\n",
       "2905.3438224510837 19.970470498681465 ...                0.0                0.0\n",
       " 2906.012013646678 23.043763006590776 ...                0.0                0.0\n",
       "               ...                ... ...                ...                ...\n",
       " 8194.028631574081  7.173374757590396 ...                0.0                0.0\n",
       "  8195.91834767312  7.988983995020322 ...                0.0                0.0\n",
       " 8197.808063772158  7.676076923546386 ...                0.0                0.0\n",
       " 8199.689243166027 0.4551225782009759 ...                0.0                0.0\n",
       " 8201.580511393278 3.0499941773732537 ...                0.0                0.0\n",
       "  8203.47177962053  6.352920310319585 ...                0.0                0.0\n",
       " 8205.354511142612 3.4768744333383035 ...                0.0                0.0\n",
       " 8207.246555433969 11.425905974450323 ...                0.0                0.0\n",
       " 8209.139375789433 11.808808154794383 ...                0.0                0.0\n",
       " 8211.032196144897 11.474692143016263 ...                0.0                0.0"
      ]
     },
     "execution_count": 8,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "op_spec = fits.getdata(specpath, 3)\n",
    "Table(op_spec)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "7652eb7c",
   "metadata": {},
   "source": [
    "## Visualize the spectral fitting results"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "c4306bff",
   "metadata": {},
   "source": [
    "Here are some functions for the results visualization\n",
    "\n",
    "\n",
    "If you are interested in plotting the FeII emissions as demonstrated, please download the [fe_optical](https://raw.githubusercontent.com/legolason/PyQSOFit/refs/heads/master/src/pyqsofit/fe_optical.txt) and [fe_uv](https://raw.githubusercontent.com/legolason/PyQSOFit/refs/heads/master/src/pyqsofit/fe_uv.txt) first and then change the path to both files.\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "id": "022cc0f4",
   "metadata": {},
   "outputs": [],
   "source": [
    "# functions for visualizing the spectrum\n",
    "def read_sdss5_spec(spec_path, cutoff=100):\n",
    "    \"\"\" functions for reading in the SDSS5 spectrum\"\"\"\n",
    "    spec = fits.getdata(spec_path,1)\n",
    "    error = np.zeros(len(spec.IVAR))\n",
    "    error[np.where(spec.IVAR!=0)] = 1/np.sqrt(spec.IVAR[np.where(spec.IVAR!=0)])\n",
    "    ind_good = np.where((spec.IVAR>0)&(np.isfinite(spec.FLUX))&(np.isfinite(error)), True, False)\n",
    "    ind_good[:cutoff] = False\n",
    "    return 10**spec.LOGLAM[ind_good], spec.FLUX[ind_good], error[ind_good]\n",
    "\n",
    "# fe_uv and fe_optical files are the Fe II templates from the PyQSOFit package\n",
    "fe_uv = np.genfromtxt('fe_uv.txt')\n",
    "fe_op = np.genfromtxt('fe_optical.txt')\n",
    "\n",
    "def Manygauss(xval, pp):\n",
    "    \"\"\" Multiple Gaussian model used to fit the emission lines\n",
    "    pp=[scale1, center1, sigma1, scale2, center2, sigma2, ...]\n",
    "    xx in log wavelength space\n",
    "    \"\"\"\n",
    "    return np.sum(pp[:, 0] * np.exp(-(xval[:, np.newaxis] - pp[:, 1]) ** 2 / (2 * pp[:, 2] ** 2)), axis=1)\n",
    "\n",
    "def PowerLaw(xval, pp):\n",
    "    \"\"\"Power law continuum model\"\"\"\n",
    "    return pp[0]*(xval/3000.0)**pp[1]\n",
    "\n",
    "def PolyConti(xval, pp, x0=3000):\n",
    "    \"\"\"Polynomial continuum model\"\"\"\n",
    "    xval2 = xval - x0\n",
    "    yvals = [(pp[i] / 1e6) * xval2 ** (i + 1) for i in range(len(pp))]\n",
    "    return np.sum(yvals, axis=0)\n",
    "\n",
    "def BalmerConti(xval, pp):\n",
    "    \"\"\"Fit the Balmer continuum from the model of Dietrich+02\"\"\"\n",
    "    xval = xval * u.AA\n",
    "    lambda_BE = 3646.  # A\n",
    "    bb_lam = BlackBody(pp[1] * u.K, scale=1.0 * u.erg / (u.cm ** 2 * u.AA * u.s * u.sr))\n",
    "    bbflux = bb_lam(xval).value * 3.14  # in units of ergs/cm2/s/A\n",
    "    tau = pp[2] * (xval.value / lambda_BE) ** 3\n",
    "    result = pp[0] * bbflux * (1 - np.exp(-tau))\n",
    "    ind = np.where(xval.value > lambda_BE, True, False)\n",
    "    if ind.any() == True:\n",
    "        result[ind] = 0\n",
    "    return result\n",
    "\n",
    "def FeII_uv_Conti(xval, pp):\n",
    "        \"Fit the UV FeII component on the continuum from 1200 to 3500 A based on Boroson & Green 1992.\"\n",
    "        yval = np.zeros_like(xval)\n",
    "        wave_Fe_mgii = 10 ** fe_uv[:, 0]\n",
    "        flux_Fe_mgii = fe_uv[:, 1] * 1e15\n",
    "        Fe_FWHM = pp[1]\n",
    "        xval_new = xval * (1.0 + pp[2])\n",
    "\n",
    "        ind = np.where((xval_new > 1200.) & (xval_new < 3500.), True, False)\n",
    "        if np.sum(ind) > 100:\n",
    "            if Fe_FWHM < 900.0:\n",
    "                sig_conv = np.sqrt(910.0 ** 2 - 900.0 ** 2) / 2. / np.sqrt(2. * np.log(2.))\n",
    "            else:\n",
    "                sig_conv = np.sqrt(Fe_FWHM ** 2 - 900.0 ** 2) / 2. / np.sqrt(2. * np.log(2.))  # in km/s\n",
    "            # Get sigma in pixel space\n",
    "            sig_pix = sig_conv / 106.3  # 106.3 km/s is the dispersion for the BG92 FeII template\n",
    "            khalfsz = np.round(4 * sig_pix + 1, 0)\n",
    "            xx = np.arange(0, khalfsz * 2, 1) - khalfsz\n",
    "            kernel = np.exp(-xx ** 2 / (2 * sig_pix ** 2))\n",
    "            kernel = kernel / np.sum(kernel)\n",
    "\n",
    "            flux_Fe_conv = np.convolve(flux_Fe_mgii, kernel, 'same')\n",
    "            tck = interpolate.splrep(wave_Fe_mgii, flux_Fe_conv)\n",
    "            yval[ind] = pp[0] * interpolate.splev(xval_new[ind], tck)\n",
    "        return yval\n",
    "\n",
    "def FeII_opt_Conti(xval, pp):\n",
    "        \"Fit the optical FeII on the continuum from 3686 to 7484 A based on Vestergaard & Wilkes 2001\"\n",
    "        yval = np.zeros_like(xval)\n",
    "\n",
    "        wave_Fe_balmer = 10 ** fe_op[:, 0]\n",
    "        flux_Fe_balmer = fe_op[:, 1] * 1e15\n",
    "        ind = np.where((wave_Fe_balmer > 3686.) & (wave_Fe_balmer < 7484.), True, False)\n",
    "        wave_Fe_balmer = wave_Fe_balmer[ind]\n",
    "        flux_Fe_balmer = flux_Fe_balmer[ind]\n",
    "        Fe_FWHM = pp[1]\n",
    "        xval_new = xval * (1.0 + pp[2])\n",
    "        ind = np.where((xval_new > 3686.) & (xval_new < 7484.), True, False)\n",
    "        if np.sum(ind) > 100:\n",
    "            if Fe_FWHM < 900.0:\n",
    "                sig_conv = np.sqrt(910.0 ** 2 - 900.0 ** 2) / 2. / np.sqrt(2. * np.log(2.))\n",
    "            else:\n",
    "                sig_conv = np.sqrt(Fe_FWHM ** 2 - 900.0 ** 2) / 2. / np.sqrt(2. * np.log(2.))  # in km/s\n",
    "            # Get sigma in pixel space\n",
    "            sig_pix = sig_conv / 106.3  # 106.3 km/s is the dispersion for the BG92 FeII template\n",
    "            khalfsz = np.round(4 * sig_pix + 1, 0)\n",
    "            xx = np.arange(0, khalfsz * 2, 1) - khalfsz\n",
    "            kernel = np.exp(-xx ** 2 / (2 * sig_pix ** 2))\n",
    "            kernel = kernel / np.sum(kernel)\n",
    "            flux_Fe_conv = np.convolve(flux_Fe_balmer, kernel, 'same')\n",
    "            tck = interpolate.splrep(wave_Fe_balmer, flux_Fe_conv)\n",
    "            yval[ind] = pp[0] * interpolate.splev(xval_new[ind], tck)\n",
    "        return yval\n",
    "\n",
    "def continuum_all(wave_val, conti_ip_val):\n",
    "    \"\"\" Continuum model for the QSO spectrum\"\"\"\n",
    "    return PowerLaw(wave_val, conti_ip_val[0:2])\\\n",
    "        + PolyConti(wave_val, conti_ip_val[2:5])\\\n",
    "        + FeII_uv_Conti(wave_val, conti_ip_val[5:8])\\\n",
    "        + FeII_opt_Conti(wave_val, conti_ip_val[8:])\n",
    "\n",
    "def continuum_PL_poly(wave_val, conti_ip_val):\n",
    "    \"\"\" Continuum model for the QSO spectrum\n",
    "    This is a simplified version of the continuum model\n",
    "    It only includes the power law and polynomial components\"\"\"\n",
    "    return PowerLaw(wave_val, conti_ip_val[0:2])\\\n",
    "        + PolyConti(wave_val, conti_ip_val[2:5])\n",
    "\n",
    "def qsofit_op_flux(op_data, op_spec_wave):\n",
    "    \"\"\" Compute the fitted continuum flux and line profiles using the output of PyQSOFit model\n",
    "    op_data is the output of PyQSOFit model\n",
    "    op_spec_wave is the wavelength array of the spectrum\"\"\"\n",
    "\n",
    "    conti_keyword = ['PL_norm', 'PL_slope', 'conti_a_0', 'conti_a_1', 'conti_a_2',\\\n",
    "                 'Fe_uv_norm', 'Fe_uv_FWHM', 'Fe_uv_shift', 'Fe_op_norm', 'Fe_op_FWHM', 'Fe_op_shift']\n",
    "    conti_ip_val = np.array([op_data[conti_keyword[i]] for i in range(len(conti_keyword))])\n",
    "    conti_flux = continuum_all(op_spec_wave, conti_ip_val)\n",
    "    \n",
    "    gaussian_lines = np.array([kw[:-11] for kw in op_data.names if ('centerwave' in kw) and ('err' not in kw) and ('OII3728' not in kw) and ('CaII3934' not in kw) and ('NeV3426' not in kw)])\n",
    "    gaussian_pp = np.zeros((len(gaussian_lines), 3))\n",
    "    for i in range(len(gaussian_lines)):\n",
    "        gaussian_pp[i, 0] = op_data[gaussian_lines[i]+'_scale']\n",
    "        gaussian_pp[i, 1] = op_data[gaussian_lines[i] + '_centerwave']\n",
    "        gaussian_pp[i, 2] = op_data[gaussian_lines[i] + '_sigma']\n",
    "    gaussian_flux = Manygauss(np.log(op_spec_wave), gaussian_pp)\n",
    "\n",
    "    return conti_flux, gaussian_flux\n"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "3049958d",
   "metadata": {},
   "source": [
    "### plotting the original SDSS spectrum\n",
    "\n",
    "Please have the original SDSS spectrum downloaded before continue. \n",
    "\n",
    "You can retrive the data using ``sdss_access``, more detailed tutorial explained [here](https://github.com/sdss/dr19_tutorials/blob/main/Exploring_BOSS_Spectra_Coadds.ipynb). Or you can download the [spectrum of this object](https://data.sdss.org/sas/dr19/spectro/sdss/redux/v6_1_3/102359/coadd/60089/spSpec-102359-60089-27021598149616104.fits) from the sdss data service.\n",
    "\n",
    "Once you have the spectra, you can update the path to the FITS file of the SDSS spectrum for visualization."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "id": "d66167ca",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.legend.Legend at 0x7f3f222ca8d0>"
      ]
     },
     "execution_count": 10,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1200x400 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "spec_path_v6_1_3 = ''\n",
    "specpath_sdss = spec_path_v6_1_3 + f\"spSpec-{obj}.fits\"\n",
    "wave_sdss5, flux_sdss5, error_sdss5 = read_sdss5_spec(specpath_sdss)\n",
    "\n",
    "fig, ax = plt.subplots(1, 1, figsize=(12, 4))\n",
    "ax.plot(wave_sdss5, flux_sdss5, color='black', lw=1, label='flux')\n",
    "ax.plot(wave_sdss5, error_sdss5, color='grey', lw=1, label='error')\n",
    "ax.set_xlabel(r'Observed Wavelength ($\\rm\\AA$)', fontsize=18)\n",
    "ax.set_xlim(wave_sdss5[0], wave_sdss5[-1])\n",
    "ax.set_ylabel(r'$F_{\\lambda} ({\\rm 10^{-17}erg\\,s^{-1}cm^{-2}\\AA^{-1}})$', fontsize=18)\n",
    "ax.legend(fontsize=18, loc='upper right')"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "7399afc7",
   "metadata": {},
   "source": [
    "### visualize the prereduced spectrum\n",
    "Note that the prereduced spectrum has been \n",
    "- corrected for Milky Way extinction;\n",
    "- shift to the rest frame;\n",
    "- removed host galaxy if possible\n",
    "\n",
    "\n",
    "Note that the prereduced spectrum is truncated sometimes due to the wavelength limitation from the host galaxy templates"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "id": "00cc6837",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.legend.Legend at 0x7f3f1fb1a930>"
      ]
     },
     "execution_count": 11,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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SJUuYr7/+mtFoNHbbzps3j3F1dW32WOfPn2cAMM8++yz32Ny5cxkAjKenJ3P33Xcz69evZ9LS0uz2vXz5MiOXyxkAzODBg5lnnnmG2bNnD6PVau22femll5gXX3yR+e6775hvvvmGmTdvHgOAGTt2LGMymVp8vc888wyjVCrtfp+22N/tsGHDGKPRyD2+du1aBgDz448/MgzDMPX19YxKpWIef/xx3v6lpaWMh4cH7/EJEyYw7u7uTH5+Pm9bq9XK/XvdunW8z5QtAIxQKGRSUlJ4jzv6LDEMw+Tm5jIAmC1btnCPse/Tm2++yT1WU1PDyOVyRiAQMN9++y33eHp6ulOfn9auE9f2Q1vSpgwD0rU8PDwQHR3d3c0ghBBCCCG9lMFg4I3oarVa6PV6AE2p+fX19TCbzQCa0uhtt9XpdC1uW19fz9u2sbERAMAwDOrr62EymdrdbovFgj/++AOzZs1CZGQk93hAQAAefPBBHD161C7N/fHHH2+1XsGff/4Js9mMJ598kvf4008/7XTb3NzcePPypVIpRo4ciZycHO4xkUjE1RWwWq2orq6G2Wzmisa3lZ+fHy5evIglS5agpqYGn3zyCR588EH4+vri9ddfd3qZe7b9AHi/vy1btuDDDz9EREQEfvjhBzz//POIjY3FrbfeiqKiIm67uLg4XLhwAQ8//DDy8vK4EXg/Pz989tlnvPO89dZbePvttzF79mw88MAD2Lp1K/7zn//g2LFj2LVrV4ttVKlU0Gq1XBZESxYtWsTLeH/iiScgFovx66+/AmjKVtBoNJgzZw4qKyu5/0QiEUaNGsVNE6moqMDhw4fx6KOP2tXeEwgErbaDlZCQgP79+zu9fXMWLlzI/VulUqFv375wdXXF7Nmzucf79u0LlUrF++x1tU4JGJhMJsTHx3OpG6R9dDodCgsLu7sZhBBCCCGklyopKUFycjL3c1paGnd/aTAYkJSUxAUJysrKcPHiRW7b9PR05OfnA2i6v09KSkJtbS2Aps7V+fPnuW0zMzO5tGiLxYKkpKQOLTtXUVEBnU6Hvn372j0XGxsLq9WKq1ev8h6PiIho9bjs6+nTpw/vcS8vL3h6ejrVtuDgYLsOpKenp928+S+//BLx8fFwcXGBt7c31Go1fvnlF+49bKuAgAB8/PHHKCkpQUZGBt5//32o1WqsWLECmzdvdvo47O/b3d2de0woFOKpp57CuXPnUFlZiR9//BHTp0/HwYMH8cADD/D2j4mJwbZt21BZWYlLly7hzTffhFgsxqJFi3DgwIEWz/3ss89CKBS2ut2TTz6JmJgYTJ8+HcHBwXj00Ufx22+/Odz22gFWNzc3BAQEcFMNMjMzAQCTJ0+GWq3m/ffHH39wU8DZTveAAQNabFtrnPkctsbFxYU3zQFoGkx29Nnz8PBwWLOhq7RplYTmWK1WXL58+bo2/EbEMEybooWEEEIIIYTYCggI4BUoj42N5UbhZTIZhg4dyq3K5efnx+s09+vXD0Jh03iiRCLhbatWq3nL8kVHR3MdGZFIhKFDh173yvDXa3Wx5rIYbO/bt2/fjvnz52PWrFl44YUX4OvrC5FIhLfeegvZ2dkdOr9AIEBMTAxiYmIwc+ZMREdHY8eOHbwR6ZZcvnwZgH3QhOXt7Y277roLd911FyZOnIjExETk5+fbFToUiUQYOHAgBg4ciNGjR2PSpEnYsWMHpkyZ0uy55XI5vL29UV1d3WIbfX19ceHCBfz+++/Yt28f9u3bhy1btmDu3Ln48ssvnXqdLKvVCqCpjoG/v7/d82Jxp3SBOY4+h81lKFgsFoePN/cZc+az19U6990iHWIymbg0MEIIIYQQQtpKJpNBJpNxP7u6unL/FgqFvFFmqVTKW55PoVC0a1uBQMDbtj3UajUUCgUyMjLsnktPT4dQKERISEibj8t2erOysngjwVVVVZ062Llr1y5ERkZi9+7dvM7iypUrO+0cABAZGQlPT0+UlJQ4vc+2bdsgEAhw2223tbrt8OHDkZiYiJKSEocrI9huB6DVdtTX16OystJu9NwRqVSKO++8E3feeSesViuefPJJfPrpp3j11Vd5wY7MzExMmjSJ+7mhoQElJSWYMWMGACAqKgpAUxCipWAGO/WFDag0py3TE1hsIO7arBs246U3oRoGPYharcagQYO6uxmEEEIIIYRcVyKRCFOnTsWPP/7Iq2JfVlaGr7/+GuPGjeNlODjr1ltvhVgsxscff8x7/MMPP+xok3nYkWDbkd9Tp07hxIkT7TreqVOnHK7icPr0aVRVVTmcuuHI22+/jT/++AP3338/l8pfWlqK1NRUu22NRiP+/PNPCIVCroN+5MgRh7Up2HoBbDv0ej2vRgKLrbdw++23t9jOqqoq3s9CoRDx8fEAmqbS2Nq0aROvTR9//DHMZjOmT58OAJg2bRqUSiXefPNNh22vqKgA0NT3mjBhAr744gsUFBTwtrH9PbJBt7ZMuQkLC4NIJMLhw4d5j2/cuNHpY/QUlGHQA5jNZojFYlRVVeHKlStISEjo7iYRQgghhBByXb3xxhvYv38/xo0bhyeffBJisRiffvopDAYD1q5d265j+vn54ZlnnsE777yDu+66C7fffjsuXryIffv2wcfHp12jx47ccccd2L17N+6++27MnDkTubm5+OSTT9C/f3+nlhW81rZt27Bjxw7cfffdGDZsGKRSKdLS0vDFF1/AxcUFL7/8Mm97s9mM7du3A2jqvOfn5+Onn37CpUuXMGnSJGzatInbtrCwECNHjsTkyZNx6623wt/fH+Xl5fjmm29w8eJFLFu2jJvWsmbNGpw7dw733HMP14FPSkrCV199BS8vLyxbtgxAUxBiyJAhmDNnDvr16wcA+P333/Hrr7/i9ttvx9/+9rcWX+/ChQtRXV2NyZMnIzg4GPn5+fjggw8wePBgxMbG8rY1Go249dZbMXv2bGRkZGDjxo0YN24c7rrrLgCAUqnExx9/jEceeQRDhw7FAw88ALVajYKCAvzyyy8YO3YsFzB6//33MW7cOAwdOhSLFi1CREQE8vLy8Msvv3DLYQ4bNgwA8O9//xsPPPAAJBIJ7rzzTl72zrU8PDzw97//HR988AEEAgGioqLw888/c/UTehMKGHQznU6HY8eOISEhAUKhEHK5HAzDdNrFixBCCCGEkN4gLi4OR44cwfLly/HWW2/BarVi1KhR2L59O0aNGtXu465ZswYKhQKfffYZDhw4gNGjR+OPP/7AuHHjOq3uwvz581FaWopPP/0Uv//+O/r374/t27dj586d+Ouvv9p8vMWLF0OhUODPP//Ejz/+iLq6OqjVakydOhXLly/HkCFDeNsbDAY88sgjAJqmi/j6+mLYsGFYsWIF7r77bq42BdCUFfDee+/h119/xcaNG1FWVgYXFxcMGDAAn332GR577DFu25dffhlff/01EhMTsWPHDuh0OgQEBOCBBx7Aq6++yk3zUKlUuOOOO7B//358+eWXsFgs6NOnD9588008//zzvPM78vDDD2PTpk3YuHEjNBoN/P39cf/992PVqlV2+3744YfYsWMHVqxYAZPJhDlz5uD999/n9Z8efPBBBAYG4u2338a6detgMBgQFBSE8ePHY8GCBdx2gwYNwsmTJ/Hqq6/i448/hl6vR1hYGG9lghEjRuD111/HJ598gt9++w1WqxW5ubktBgwA4IMPPoDJZMInn3wCmUyG2bNnY926dR0usni9CZhOqJhgMBggl8uxdetWzJ07tzPadVOIi4uD1WrFyZMn4eHhgYqKChQXF9O0BEIIIYQQ4pBer0dubi4iIiKue5HBG4lGo4GnpyfeeOMN/Pvf/+7u5hAnbN26FQsWLMCZM2e4GgrEsdauE3FxcQCAlJSUVo9FNQy6mVAohIeHB4CmCpuenp60UgIhhBBCCCGdpLGx0e6x9957DwAwceLE69sYQnoZmpLQzfR6PS5cuIDBgwdDq9WisLCw1QqwBoMBVVVVCAwMvE6tJIQQQgghpHf67rvvsHXrVsyYMQNubm44evQovvnmG0ydOhVjx47t7uYR0qNRwKCbWa1W1NbWAvjfupyt1S8oKytDbm4uBQwIIYQQQghpRXx8PMRiMdauXYu6ujquEOIbb7zR3U0jpMejgEE3UygU3KoI7u7uCA0NbXUftVoNuVze1U0jhBBCCCFdQK/Xo6KiAv7+/pBIJN3dnBve0KFDceDAge5uBumg+fPnY/78+d3djJtOpwQMZDIZcnNzueU3SPsYDAaUl5cjKCioxSwDi8XicC4WIYQQQgjp+RobG5Gfnw9fX9/ubgohhLSo04oehoWFtbq0BLGn0+mQmJgIoGl6gtlsbnWf8vJy5ObmdnXTCCGEEEJIF1AqlQgPD4fVau3uphBCSIu6dZWE2tpafPzxxzf1shhCoRDu7u4oLCyE0WiEwWBotYaBTCZrdRtCCCGEENIzWSwW5ObmQqfTdXdTCCGkRd1Sw+DgwYP44osv8MMPP0Cv13dHE3oMFxcXBAUFIT09HUOGDEF8fDwYhmkxIBAYGEgFDwkhhBBCeqnq6mp4eHjA29u7u5tCCCEtum4Bg8LCQmzZsgVbt25FXl4eAIBhGIhEIkyaNOl6NaPHsVgsEAgEiI+PR0NDAzIzMzFhwoQW96mqqkJBQQGGDh16nVpJCCGEEEI6i0QigUKh6O5mEEJIq7o0YGAymbBnzx5s3rwZf/75J6xWKxiGgVAoxIQJE3D//ffj3nvvvamLJRoMBqSlpaFfv34A4NSXR21tLerr67u6aYQQQgghpAt4eXnh6tWrqKysvKnvgwkhPV+XBAySk5OxefNm7NixA9XV1WAYhntOIBAgJyfHqeUDbwYymQxeXl5IT09HWFgYxGJxq/UJVCoVDAbDdWohIYQQQgjpTBaLBUKhECKRqLubQgi5wZnNZlitVkil0nbt3+aih19//TUGDhwINzc3TJ48GRcvXgQA1NXV4eOPP8aIESMwePBgfPDBB6iqqoK3tzeefvppnD17ljsGRVL/RyQScfUIPDw8oFareQEWR1QqFaKioq5H8wghhBBCSCe7evUqdDodPD09u7sphJAbXF5eHi5dutTu/dsUMPj666/xyCOPoLGxEYsWLUJGRgYmTZqEBx98EAEBAVi6dCnOnTsHiUSCWbNm4YcffkBxcTE2bNjQa+bbv/vuu7jnnnsQHR0NDw8PyGQyhIWFYe7cuUhOTm52v61bt2LkyJFwc3ODl5cXZsyYgePHj7d6PoPBgOLiYiQkJMBoNCI3N7fVgEFZWRlOnjzZ5tdGCCGEEEK6n5+fH/r06QOLxdLdTSFdYNWqVT16RbO8vDwIBAJs3bq11W0zMzMxdepUeHh4QCAQYM+ePdi6dSsEAgFXl470bCKRCBKJpN37t2lKwltvvQUAOHDgAMLDw/H3v/8dY8eOxXfffQeGYTB8+HDMmzcPc+bMgZeXV7sb1Z3efPNNaLVaxMfHY+DAgQCAlJQUbNu2Dd9++y12796NO+64g7fPsmXLsGHDBsjlckydOhV6vR779+/HH3/8gV27dmHWrFnNns9isaC6uhopKSlwc3ODVCqFUNhyHKexsbHDr5MQQgghhHQPhUKBixcvIiAgAOHh4d3dHEKaNW/ePOTm5uI///kPVCoVhg8fjgMHDnR3s0gbiMXidk9HANoYMMjPz4e7uzt3YRs8eDD33D/+8Q+sXr0aHh4e7W5MT/Djjz9i2LBhcHFx4T2+ceNGPPXUU1i4cCEKCwshFje9dQcOHMCGDRvg7e2NEydOIDo6GgBw4sQJTJw4EQsWLMDEiROhUqkcnk+hUKBPnz7IysqCt7c3AgICWm2jv78/3NzcOvZCCSGEEEJIt9BoNFCpVFCr1d3dFEKa1djYiBMnTuDf//43li5d2t3NIe3k7u7eoYBBm6YkxMfHo76+HocOHQIA7Nq1C0DT8ogffPAB/P39cf/99+Pnn3/utSlWY8eOtQsWAMCTTz6JqKgolJWVITU1lXv83XffBQC88sorXLAAAEaPHo0lS5ZAo9Fg8+bNLZ7Tw8MDfn5+EAqFqK6uhtVqbbWdZrO51akLhBBCCCGk56mqqoJOp4Orq2t3N+WGYbVaodfrO3QMvV7v1H34zaKiogIAmh34JL1DVVUVCgsL271/mwIG69atg1QqxcyZMzF8+HA89thjiI2NxcaNGzF8+HAYDAbs3LkTf/vb3xAUFIR//vOfOH/+fLsb19Owcz/YCE1jYyMOHjwIALjvvvvstmcf27t3b7PH1Ol0OHfuHLesotFobHXOU1lZGbKystr+AgghhBBCSLeLjIzEhQsXUF1d3d1N6VHYuf/p6emYPXs2lEolvL298cwzz9gFAwQCAZYuXYodO3YgLi4OMpkMv/32GwCgqKgIjz76KPz8/CCTyRAXF4cvvviCt/9ff/0FgUCAb7/9Fq+88gqCgoKgUChQV1cHADh16hRuv/12eHh4QKFQICEhAceOHbNr89GjRzFixAi4uLggKioKn376qd02LdUMEAgEWLVqFe+xoqIiPPbYYwgMDIRMJkNERASeeOIJGI1GbhuNRoNly5YhJCQEMpkMffr0wZo1a+wCHhqNBvPnz4eHhwdUKhXmzZsHjUbT7O+AtWrVKoSFhQEAXnjhBQgEghanzzh6HQAQHh6O+fPnA2gaZJ40aRLUajXKy8u5bYxGIwYOHIioqChotdpW20bariMrsrRpSsLo0aNx7tw5vP/++ygoKMDzzz+Pf/3rX1CpVFiyZAlSU1Px+eefY/v27SgvL8eGDRuwYcMGDBgwAA8//HC7G9kTbNu2DRkZGYiOjuYyCTIyMmAwGKBWqxEcHGy3D1vosaWqlGy9gsTERAQFBTkVMJBKpRCJRD26mAohhBBCCHHshx9+wMKFC9HQ0IBnnnmmu5vT48yePRvh4eF46623cPLkSbz//vuoqanBV199xdvu4MGD+O9//4ulS5fCx8cH4eHhKCsrwy233MIFFNRqNfbt24fHHnsMdXV1WLZsGe8Yr7/+OqRSKZ5//nkYDAZIpVIcPHgQ06dPx7Bhw7By5UoIhUJs2bIFkydPxpEjRzBy5EgATUvJT506FWq1GqtWrYLZbMbKlSvh5+fX7tdeXFyMkSNHQqPRYNGiRejXrx+Kioqwa9cu6HQ6SKVS6HQ6JCQkoKioCIsXL0ZoaCiOHz+O5cuXo6SkBO+99x6Apg763/72Nxw9ehRLlixBbGwsfvjhB8ybN6/Vdtxzzz1QqVR49tlnMWfOHMyYMaPDU6IFAgG++OILxMfHY8mSJdi9ezcAYOXKlUhJScFff/1FWTddwNPTs0Pva5sCBgDQv39/fPLJJ80+9+6772Lt2rX46aef8Pnnn2P//v1ITk7GSy+9xG33ww8/4O6774ZCoWh3w7vaunXrkJKSAq1Wi7S0NKSkpCAwMBDffPMNF6EpKCgAAIfBAgBwdXWFSqVCTU0N6uvr4e7ubreNi4sLoqOjkZmZCR8fH25ZxZaCAYGBgU7VOiCEEEIIIT3PuXPnAIBbWruz6HQ6pKend+ox26tfv37tvtePiIjAjz/+CAB46qmnoFQqsXHjRjz//POIj4/ntsvIyEBycjL69+/PPbZw4UJYLBYkJyfD29sbALBkyRLMmTMHq1atwuLFiyGXy7nt9Xo9zp49yz3GMAyWLFmCSZMmYd++fdw9+eLFixEXF4dXXnkFf/zxBwBgxYoVYBgGR44cQWhoKADg3nvv5Qqnt8fy5ctRWlqKU6dOYfjw4dzjr732Gjcd+d1330V2djbOnz/PDWQuXrwYgYGBWLduHZ577jmEhITgp59+wuHDh7F27Vq88MILAIAnnngCkyZNarUd8fHxUCqVePbZZzF06NBOG/yNiIjAO++8g8WLF2PHjh3o06cP1q1bh2eeeQYTJkzolHMQPr1ej7q6Ovj7+7dr/zYHDJw6qFiMe+65B/fccw+Ki4uxZcsWbN26FdnZ2WAYBnPnzoVcLsf06dPx97//HXfeeSfvD7cn+P333/Hnn39yP4eFheGrr77CsGHDuMcaGhoAoMWLoaurKzQaTbMBg6ysLEyePBlA0wXKaDRyx7NYLGAYhiuwmJKSAqAptejq1auIj4+nLANCCCGEkF6mtrYWAKBUKjv1uOnp6bx71e507ty5di+r/tRTT/F+fvrpp7Fx40b8+uuvvIBBQkICL1jAMAy+//57zJ49GwzDoLKykntu2rRp+Pbbb5GUlISxY8dyj8+bN4/XD7lw4QIyMzPxyiuvoKqqiteOW2+9Fdu2bYPVagXDMPj9998xa9YsLlgAALGxsZg2bRp+/fXXNr9uq9WKPXv24M477+QFC1jsff/OnTsxfvx4eHp68l7jlClT8Pbbb+Pw4cN46KGH8Ouvv0IsFuOJJ57gthGJRHj66adx5MiRNrevsyxatAi7d+/G008/DR8fH0RFReHNN9/stvbcSC5fvgyg6bNUUVGBp59+GgUFBbBYLLw6fdnZ2YiKinLqmF0SMLAVGBiIf//73/j3v/+NxMREbN68Gd9//z10Oh12796N3bt3Q6FQoL6+vqub0ibsciEajQbJycl47bXXkJCQgDfeeAP//ve/O+08DMPAYDBAJpMBAC8AYDKZYLVauYABq6amxqm5R4QQQgghpOdh04OvXr3aqcft168fl73Q3dj6XO1hW0gcAKKioiAUCpGXl8d7PCIigvdzRUUFNBoNNm3ahE2bNjk8tu3ceUfHyMzMBIAW0/Zra2thMBjQ2Nho11YA6Nu3b7sCBhUVFairq8OAAQNa3C4zMxOXLl1qdpUN9jXm5+cjICDAbipB375929y2zrZ582ZERUUhMzMTx48f73GDxzeSjhbK7/KAga2EhAQkJCTgo48+wtdff40vvvgCZ86cgU6nu57NaBOVSoXx48fj119/xejRo/Hqq69i6tSpGDFiBPfH11L72cIdjrILgKaiN9999x00Gg1CQkKg0WjsorG1tbUoLS2F1WqFUCjkCsBQdgEhhBBCSO/D3sOZTKZOPa5CoWj3qH5P1tw977WdTLbg38MPP9xsh982Q6GlY6xbt463hLwtNzc3GAyGVtvNaq797V1Vzmq14rbbbsO//vUvh8/HxMS067hdobnX+Ndff3HvYXJyMkaPHn09m3XDYoNNer0eEokEP//8M4Cm34NtHYO4uDinj3ldAwYsd3d3LF68GIsXL8bly5ftqpb2RBKJBPfffz/OnTuHvXv3YsSIEVz6UXPLVGi1Wmg0Gnh6ejYbMBCJRAgKCoJGo4GXlxfkcjlXw8BgMMBqtcJisXBBiaNHjyI8PBz9+vVrtdYBIYQQQgjpedhK/J09JeFGkZmZyRv5z8rKgtVqbbFKPwCo1Wq4u7vDYrFgypQp7To3m6atVCpbPIZarYZcLucyEmxlZGTwfvb09AQAuwzh/Px8u2MqlUourbylNjY0NLT6GsPCwvDnn3+ioaGBl2Vwbfs6g6enp93rMxqNKCkpsdu2pKQETz/9NKZOncoVnJw2bRq3KgPpXEVFRaiqquKKdbZVm5ZV7AoDBgzAu+++293NcIqPjw+A/61J2rdvX8hkMlRUVKCoqMhu+6SkJAD2kUxbBoMBFRUVSEhIgMFgwJUrV7jI5smTJ3H69GkwDAOz2QyGYaBQKFBdXe1wWRdCCCGEENLzsevaX7tUIGny0Ucf8X7+4IMPAADTp09vcT+RSIR7770X33//vcNON3sP35Jhw4YhKioK69ev5+qVOTqGSCTCtGnTsGfPHq4QOgCkpaXh999/5+2jVCrh4+ODw4cP8x7fuHEj72ehUIhZs2Zh7969OHv2rN252dTy2bNn48SJE3bnAZqCEmazGQAwY8YMmM1mfPzxx9zzFouFez87U1RUlN3r27Rpk8MMg8cffxxWqxWbN2/Gpk2bIBaL8dhjj3U4dZ44JhQKefUL2qpbMgx6q8TERAD/izzK5XJMnjwZ+/btw86dO+2Wadm1axcA4M4772z2mBaLBeXl5RAIBFAoFHBzc+NWYYiOjuaWd/H09IRAIEBDQwP9MRFCCCGE9GJs7aqsrKxubknPlJubi7vuugu33347Tpw4ge3bt+PBBx/EoEGDWt337bffxqFDhzBq1Cg8/vjj6N+/P6qrq5GUlIQDBw6gurq6xf2FQiE+//xzTJ8+HXFxcViwYAGCgoJQVFSEQ4cOQalUYu/evQCA1atX47fffsP48ePx5JNPwmw244MPPkBcXJzdsuoLFy7E22+/jYULF2L48OE4fPgwrly5Ynf+N998E3/88QcSEhKwaNEixMbGoqSkBDt37sTRo0ehUqnwwgsv4KeffsIdd9yB+fPnY9iwYdBqtUhOTsauXbuQl5cHHx8f3HnnnRg7dixeeukl5OXloX///ti9ezdXdLMzLVy4EEuWLMG9996L2267DRcvXsTvv//ODbiytmzZgl9++QVbt27lVpr74IMP8PDDD+Pjjz/Gk08+2eltu9kJBAK7mnhtwrRDTU0Nc+rUKSYnJ6fZbXJycpgvv/yyPYfvNkePHmX27dvHWCwW3uNGo5F5//33GaFQyMjlcqagoIB7bv/+/QwAxtvbm7ly5Qr3+PHjxxmZTMaoVCqmpqbG4fn69+/P9O/fnyksLGT++usvpri4mMnNzbXbrrS0lDl69ChjsViYyspKpqKigikuLu6U10wIIYQQQq6v559/ngHA/Oc//2nzvo2NjUxqairT2NjYBS3rXitXrmQAMKmpqcx9993HuLu7M56enszSpUvtXi8A5qmnnnJ4nLKyMuapp55iQkJCGIlEwvj7+zO33nors2nTJm6bQ4cOMQCYnTt3OjzG+fPnmXvuuYfx9vZmZDIZExYWxsyePZv5888/edslJiYyw4YNY6RSKRMZGcl88skn3OuwpdPpmMcee4zx8PBg3N3dmdmzZzPl5eUMAGblypW8bfPz85m5c+cyarWakclkTGRkJPPUU08xBoOB26a+vp5Zvnw506dPH0YqlTI+Pj7MmDFjmPXr1zNGo5HbrqqqinnkkUcYpVLJeHh4MI888ghz/vx5BgCzZcuWZn8XDMMwubm5DABm3bp1vMe3bNnCAOD1WywWC/Piiy8yPj4+jEKhYKZNm8ZkZWUxYWFhzLx58xiGYZirV68yHh4ezJ133ml3rrvvvptxdXVtsX9JnGd7naitrWXKy8t5z7P9UGcIGKZtw9WrVq3CW2+9xaW63HLLLdi0aZNd4YQdO3Zg7ty57S7m0R22bt2KBQsWwMfHB8OGDYO3tzcqKyuRnJyMkpISuLi44Msvv8Ts2bN5+y1btgwbNmyAQqHAbbfdBqPRiP3794NhGOzatQuzZs1yeD72PTt58iQKCgrg5+eHkpISxMXFQSgUoqCgAAaDgXs8Ojoax44dg7+/P9zc3ODv7081DAghhBBCeplFixbhs88+w9q1a/HCCy+0aV+9Xo/c3FxERER0KM24J1q1ahVWr16NiooKu5FpQojzbK8TxcXFqKys5NUwYPuhKSkprR6rTTUMfvzxR7z22msYNmwY1qxZg3/84x9ITU3FyJEj8eOPP7bxZfQ8CQkJePnll9G3b19cunQJO3fuxLFjx+Dl5YWnn34aycnJdsECAHjvvfewZcsWxMbGYv/+/Thx4gSmTJmCw4cPNxssYOl0OiQlJSEuLg4Mw6CxsZF7Ljc3F8XFxTAajSgtLeWqW2o0Gly5coWmJhBCCCGE9EJsEbzW0uMJIaSjmP9fB6+92jSZ4d1338WoUaNw7NgxbmT7+eefx913342///3v+OKLL/Dwww+3uzHdLSIiAv/5z3/ate/8+fMxf/78Nu/Hvo+JiYkIDAyEyWSCUNgUxxk9ejQYhoHJZEJYWBhEIhFcXFxgMplgNBopu4AQQgghpBdiC1w7qiBPCCGdycPDo0MBgzZlGKSlpWHOnDm8jmpQUBASExMxefJkzJ8/H5999lm7G3Mzksvl6NOnD4CmpVQGDBjAZQ5IpVLIZDLU19cjPz8fAoEAEokEQUFBGDFiBAUMCCGEEEJ6ITazQK1Wd3NLCCE3OrPZzC3l2h5tChgYDAbI5XK7x+VyOfbu3Ys77rgDS5Ys6ZKlOm5UDMPA1dUVsbGx0Ov1uHDhAhd1PnXqFBITE+Hu7g5/f39YrVY0NDSgqqoKGRkZ3HaEEEIIIaT3YO/hTCZTN7ekZ1m1ahUYhqH6BYR0Ir1ez5v23lZtChhEREQ4XBMUACQSCXbt2oV77rkHy5Yt4633SZrX2NiIixcvQiwWc5kF10aATCYTqqqqYLFYUFdXh4qKCprzRgghhBDSS7m6ugJompJANakIIV1Jr9d36DrTpoDB5MmTsXv3bhiNRofPi8VifPfdd5gzZw6OHz/e7kbdTKRSKdzd3ZGcnAytVgsAKC8vR15eHuLi4pCQkAChUAhfX19IpVL069cPwcHB8PLy4modEEIIIYSQ3oNdbcxoNFLAgBDSpcLDwxETE9Pu/dvU43zkkUcwZcoUnDt3rvkDCoXYtm0bnn32WUyYMKHdDbtZiMViBAcHAwB8fHwgk8mg1WpRWlqK+vp6GAwGGI1GaDQaAE0rJ4jFYm5VBUIIIYQQ0ruUl5cDABQKBQ0AEUK6VElJCS5fvtzu/du0SsKQIUPwzTfftLqdQCDAO++80+5G3UzYYEBkZCQuXrwIoKlWBABcuXIFQNM6mVqtFqdPn4ZUKkVNTQ2ys7Mxfvx4ZGRkQCaTISIiotteAyGEEEIIcR5bsZzNMKBC1oSQrsIwjMM6hM5qU8CAdD6z2YySkhJIJBLe49HR0aitrYVEIkFKSgq3bWNjI/elIhAIoNfrr3ubCSGEEEJI+4nFTbfgxcXFMBgMcHFx6eYWEUJuVAzDcNec9qCAQTdjvyBMJhP69OmDrKwsBAUFITMzEwCQkJCAoqIiAEBgYCCUSiXMZjPMZjMEAgEGDRrUbW0nhBBCCCFtp9PpADQVDe/IjTwhhLTG39//+q2S0ByTyYT4+Hjs3bu3Mw53UxEKhVCpVBAKhSgrKwMALkAAADk5OYiJiYFAIIBKpUJaWhpqa2u5VRUyMjKQk5PTXc0nhBBCCCFtVFtby/2bAgaEkK5UXl6OrKysdu/fKQEDq9WKy5cvo6ampjMOd1PR6XTQaDQIDw9HfX293fNXr16FVqsFwzBITU2Fi4sL6urqkJaWBqvVisrKSt6XDiGEEEII6dk8PDwAAFqtFiaTqZtbQzrbqlWrenRdiry8PAgEAmzdurW7m0KuA4vFAnd393bvTyHNHiInJwcuLi5cTYK+ffuisbERAQEBOHXqFABAJBJBIpHAbDZDJBJBKBQiMDAQUqm0O5tOCCGEEELawGq1AgDq6uqg0+m4AAIhhHQ2d3d3rtBqe1DAoJvZFrmJiYlBQUEBZDIZMjIyAIC3+kFMTAxqamrg7u4Od3d3CAQCBAYG9ugIJiGEEEII4WOzQyUSCZRKZTe3hhByIxMKhairq2v//p3YFtIOAoEA0dHR8Pb2xqVLl6DRaLhaBgCQmJiI4cOHAwBqampQV1eH6upq5OTkwGq1Ij09HdnZ2d3VfEIIIYQQ0kYWiwVA07KK7KpXiYmJtPpVB1it1g6/f3q9nsv+IB1jNpthNBodPqfVajt0bIZhOlTE72bT2NiIhoaGdu9PAYNu1tjYiMzMTLtpBbbRZjbboLCwELW1taiqqkJFRQUYhkFDQwMMBsN1bTMhhBBCCGk/dk10rVaLuro6WCwWiMXim76eATv3Pz09HbNnz4ZSqYS3tzeeeeYZu2CAQCDA0qVLsWPHDsTFxUEmk+G3334D0FRA/NFHH4Wfnx9kMhni4uLwxRdf8Pb/66+/IBAI8O233+KVV15BUFAQFAoFNxJ76tQp3H777fDw8IBCoUBCQgKOHTtm1+ajR49ixIgRcHFxQVRUFD799FO7bVqqGSAQCLBq1SreY0VFRXjssccQGBgImUyGiIgIPPHEE7wOuEajwbJlyxASEgKZTIY+ffpgzZo1dgEPjUaD+fPnw8PDAyqVCvPmzYNGo2n2d3AtZ87Dvr7169fjvffeQ1RUFGQyGVJTU7nfaWpqKh588EF4enpi3LhxAJqCCq+//jq3fXh4OF5++WW7vk14eDjuuOMO/P777xg+fDjkcrnD95k41tDQAKGw/d1+mpLQQ5SUlMDf3x+lpaVQKpVgGAZKpRJDhgxBYmIigKYqul5eXpBIJNBqtRCJRIiNjW1zdd2KigqkpqYiJiYGAQEBXfFyCCGEEEJIM2wzDKxWK5RKJcaOHdvNreo5Zs+ejfDwcLz11ls4efIk3n//fdTU1OCrr77ibXfw4EH897//xdKlS+Hj44Pw8HCUlZXhlltu4QIKarUa+/btw2OPPYa6ujosW7aMd4zXX38dUqkUzz//PAwGA6RSKQ4ePIjp06dj2LBhWLlyJYRCIbZs2YLJkyfjyJEjGDlyJAAgOTkZU6dOhVqtxqpVq2A2m7Fy5Ur4+fm1+7UXFxdj5MiR0Gg0WLRoEfr164eioiLs2rULOp0OUqkUOp2OW3p98eLFCA0NxfHjx7F8+XKUlJTgvffeA9A0Ev+3v/0NR48exZIlSxAbG4sffvgB8+bNc6otzp6HtWXLFuj1eixatAgymQxeXl7cc3//+98RHR2NN998EwzDAAAWLlyIL7/8Evfddx+ee+45nDp1Cm+99RbS0tLwww8/8I6dkZGBOXPmYPHixXj88cfRt2/fdr/HN5vw8HDuPW8PChh0MzbCDACBgYGoq6uDQCDgopsmkwkqlQoajQYSiQRlZWWIiopCVFQUgKbIXFtTp+RyOQQCAVxdXTvvhRBCCCGEEKdUVVUBaEqjV6lUKCwsRHl5OYYOHdqh45pMJlRWVnZGEzvMx8cHEomkXftGRETgxx9/BAA89dRTUCqV2LhxI55//nnEx8dz22VkZCA5ORn9+/fnHlu4cCEsFguSk5Ph7e0NAFiyZAnmzJmDVatWYfHixbz7b71ej7Nnz3KPMQyDJUuWYNKkSdi3bx9XK2zx4sWIi4vDK6+8gj/++AMAsGLFCjAMgyNHjiA0NBQAcO+992LgwIHtet0AsHz5cpSWluLUqVPctGQAeO2117hO37vvvovs7GycP38e0dHRXPsCAwOxbt06PPfccwgJCcFPP/2Ew4cPY+3atXjhhRcAAE888QQmTZrkVFucPQ+rsLAQWVlZUKvVdscaNGgQvv76a+7nixcv4ssvv8TChQvx2WefAQCefPJJ+Pr6Yv369Th06BCvnVlZWfjtt98wbdo0p9pO/qeiogIlJSW45ZZb2rU/BQy6WWNjIxQKBXQ6HZKSkuyeP378OAYPHowLFy7AYrFAJpNBo9EgJycHY8aMQVZWFqRSKby9vZ1ONXFzc8OECRM6+6UQQgghhBAnyGQyAOBSr6VSKerr61FbW9uhFRMqKyuxadOmTmljRy1atKjdmaxPPfUU7+enn34aGzduxK+//soLGCQkJPCCBQzD4Pvvv8fs2bPBMAwveDJt2jR8++23SEpK4mVzzJs3jxdAuHDhAjIzM/HKK69wgR3Wrbfeim3btsFqtYJhGPz++++YNWsWFywAgNjYWEybNg2//vprm1+31WrFnj17cOedd/KCBSw2eLFz506MHz8enp6evNc4ZcoUvP322zh8+DAeeugh/PrrrxCLxXjiiSe4bUQiEZ5++mkcOXKk1fY4ex7Wvffe6zBYADQFbWyx788///lP3uPPPfcc1q9fj19++YUXMIiIiKBgQTtZrVZaJaG30+l0do9FRUVBo9FALBbj0qVLAJrS1hiGgclkAsMwEAqFkMvlqK+vx9WrVxEWFubU+UwmE0pLS+Hr68t9YRFCCCGEkOtDJBIBaAoYFBcXw9fXF/7+/tzj7eXj44NFixZ1RhM7zMfHp937sqPZrKioKAiFQuTl5fEet11NDGgaSdVoNNi0aVOzgZPy8vIWj5GZmQkALabt19bWwmAwoLGx0a6tQNPy6O0JGFRUVKCurg4DBgxocbvMzExcunSp2c45+xrz8/MREBAANzc3u/Y5w9nzsK59L1t6Lj8/H0KhEH369OE97u/vD5VKhfz8fKePTVpmMpnaPIXdFgUMupntF0NERARyc3MBgFv5ICEhgVs1gU1D6tOnD7KysnDx4kUMGjQIlZWVdheClrCrLAiFQgQFBXXWSyGEEEIIIU5gMwvMZjPc3NxQV1eHqKioDt3UA03LNN6I9amaW0LcNjMAADdN9+GHH262w2+bodDSMdatW4fBgwc7PIabm1ubio431362lkVbWa1W3HbbbfjXv/7l8PmYmJh2Hbej57n2vXTmOWeXh2/p2KRlwcHBHVpBpFMCBjKZDLm5uR2KJN6sJBIJpFIpjEYjCgoK7J4vKCjgAgQymQwGgwH19fWwWq2oq6tDTk4OiouL0bdvX6drEnh7e6N///5QqVSd/GoIIYQQQkhr6uvrIZFIYDKZIBKJcP78eURGRiIwMLDDWQY3gszMTN6IclZWFqxWK8LDw1vcT61Ww93dHRaLBVOmTGnXudk6YUqlssVjqNVqyOVyLiPBFrvCGcvT0xMA7FYnuHYUXa1WQ6lU4vLly622saGhodXXGBYWhj///BMNDQ28wcVr29fR87RHWFgYrFYrMjMzERsbyz1eVlYGjUbjdOY0aV1FRQWKi4sxevTodu3facsqhoWFURG9dtDr9dwSKY6ijLm5ubwlVNzd3bm1S0NDQ7nsg+bWOXVELBZDrVa3uxANIYQQQghpP4VCwc0prqurw4gRI5CTk4OKiopublnP8NFHH/F+/uCDDwAA06dPb3E/kUiEe++9F99//73DTrcz7++wYcMQFRWF9evXO1y7nj2GSCTCtGnTsGfPHt6gX1paGn7//XfePkqlEj4+Pjh8+DDv8Y0bN/J+FgqFmDVrFvbu3YuzZ8/anZvNNp49ezZOnDhhdx6gKShhNpsBADNmzIDZbMbHH3/MPW+xWLj3szXOnqc9ZsyYAQB2Ky28++67AICZM2e2+9iEz2g0dqg2Ck1J6MFkMhni4+Nx5swZAE3pawaDgQvMeHt7w2QyoaSkpE0rJTQ0NODcuXMYNGgQZRkQQkg7VVVVwWAwIDAwsLubQgjpZaxWK+RyOWpra1FUVISAgAAMGDCgTVNMb2S5ubm46667cPvtt+PEiRPYvn07HnzwQQwaNKjVfd9++20cOnQIo0aNwuOPP47+/fujuroaSUlJOHDgAKqrq1vcXygU4vPPP8f06dMRFxeHBQsWICgoCEVFRTh06BCUSiX27t0LAFi9ejV+++03jB8/Hk8++STMZjM++OADxMXFcTXIWAsXLsTbb7+NhQsXYvjw4Th8+DCuXLlid/4333wTf/zxBxISErBo0SLExsaipKQEO3fuxNGjR6FSqfDCCy/gp59+wh133IH58+dj2LBh0Gq1SE5Oxq5du5CXlwcfHx/ceeedGDt2LF566SXk5eWhf//+2L17N2pra536PTh7nvYYNGgQ5s2bh02bNkGj0SAhIQGnT5/Gl19+iVmzZjm9kgNpnZubW5tX1bNFAYNuJpVKuX8PGDAA+fn5qK+vB9AUIHAUuQsJCUFRUREuXLiAW265BQEBAW2a18POYWnL3CtCCCF8dXV1qK+vp4ABIaRNGIaBTqeDi4sLAMDV1RVZWVkIDw/vcA2DG8V3332HFStW4KWXXoJYLMbSpUuxbt06p/b18/PD6dOn8dprr2H37t3YuHEjvL29ERcXhzVr1jh1jIkTJ+LEiRN4/fXX8eGHH6KhoQH+/v4YNWoUFi9ezG0XHx+P33//Hf/85z+xYsUKBAcHY/Xq1SgpKbELGKxYsQIVFRXYtWsX/vvf/2L69OnYt28ffH19edsFBQXh1KlTePXVV7Fjxw7U1dUhKCgI06dP57JSFAoFEhMT8eabb2Lnzp346quvoFQqERMTg9WrV3OjyUKhED/99BOWLVuG7du3QyAQ4K677sI777yDIUOGtPo+OHue9vr8888RGRmJrVu34ocffoC/vz+WL1+OlStXdui4hE8qlaKmpqbd+wsYNrelC1gsFmRmZqKmpgYmk6nFbW/GZf7i4uJgNBqxb98+FBUVtbq9m5sbGhoa4OPjwy1t4uXlherqakRGRvLWQXVWTk4OACAyMrLN+xJCyM2soaEBWq0Wfn5+3d0UQkgvYrVa0bdvX0gkEqSlpSEpKQlmsxkBAQHw8PCAu7t7i/vr9Xrk5uYiIiKCCzrcKFatWoXVq1ejoqKCaqMR0gG214mKigpUVFRg6NCh3PNxcXEAgJSUlFaP1SVhzMLCQrz88svYvXs3GhsbW91eIBB0aA5Mb2Y2m50KFgBNN6cikYgLFvj4+HDrw7aUZsIwDE6cOIG+ffvC29ub95yjJR0JIYS0rrq6GoWFhRQwIIS0iVAohEQi4aYfNDQ0YPz48Th58iQYhmk1YEAIIW1RV1fXodp1nR4wyMnJwdixY1FeXg5nkxe6MMmhV/Hw8LCbUxQQEICSkhLuZ4vFAm9vb1RVVUEikaBfv37Izc1tNcJsNpu5wohVVVW4fPky+vbti379+nX+CyGEkJuAwWBodm1qQghpicVi4dLL2amot9xyS3c2iRBygwoLC+tQf7vTVklgvfzyyygrK4OPjw82b96MwsJCmEwmWK3WFv+7Wdl29ENDQ3k1DQDHqx+wWQUlJSUQCoVQKBStrlAxbtw4+Pv7A/hf3QS5XI7CwkJcvXq1Q6+BEEJuRm5ublSgjBDSZkajEVqtlqtXoNfrW11GjxBC2kuj0SA1NbXd+3d6wODAgQMQCAT49ttvsWDBAlpPthV6vZ4rGJKcnGwXIGCDA0BTB18mk/Gez8zMRHV1dYvVThmGwZEjR7glGN3d3ZGQkAAPDw8UFxfzMhgIIYQ4x8XFBRUVFZQlRwhpE5FIBKFQyAUcpVIpfHx8kJ6e7vQ01RvVqlWrwDAM1S8gpBOZTKY2Fci/VqcHDPR6PeRyea9cCkOn02HPnj147LHH0LdvX7i4uMDV1RWDBg3Ca6+95nAtVtbWrVsxcuRIuLm5wcvLCzNmzMDx48edOq+zS5s0NjbyVjaIiori5qO0tOKBQCAAAK7wpNlsRllZGYxGI/z9/REQEODU+QkhhPyPwWCAxWKhgAEhpE3YgTQ2YFBeXg5/f39IpVJaJYEQ0ukaGxs7NIDf6QGDiIiIXnvz9PXXX+Puu+/GF198AZFIhLvuugvjx49Hbm4uVq5ciREjRqC8vNxuv2XLlmHBggW4fPkypkyZgpEjR2L//v2YMGEC9uzZ0+I5hcL//QocRX5iY2Ob3beiogLx8fGIjo6GVqtFYmKiw+0EAgH8/Py4aQvV1dVIT09HeXk5wsPDERYW1mIbCSGE2CsqKoKrqyvvOk4IIa2xWCwwm83ctFSz2Qyz2YzIyEgqokoI6XSRkZEICgpq9/6dfpdz//33Q6/X488//+zsQ3c5iUSCRYsWITU1Fampqfjvf/+L3377DRkZGRgyZAjS09OxbNky3j4HDhzAhg0b4O3tjYsXL2LPnj347bffcPjwYYhEIixYsAAajabZc0qlUi4DwNGKEmlpac3uW1dXh8LCQmRmZkIikcDd3R2XL1+2yzZgGAaenp5ccR2VSoU+ffrA19cXaWlpSElJQX19Paqrq518pwghhBiNRpw7d67XBskJId3DYDBAr9dz2QQVFRU4ffo0BAIBMjIyurl1hJAbTXl5uVPLJzan0wMGzz33HAYNGoRFixYhNze3sw/fpebNm4dPP/3UblQ/ICAAH330EQBg9+7dvDoD7777LgDglVdeQXR0NPf46NGjsWTJEmg0GmzevLnZc+r1+jbdbLq6unIBBqlUiuLiYu7xsLAwVFVVwWAwQKPR4Pz58zCbzbBarUhPT0dNTQ23X1BQEKRSKWpra9HQ0ICSkhJkZWU53Q5CCLnZjRkzBg8++CA33YsQQpzh4uICkUjE1bBSq9U4fPgwAGDfvn3d2TRCyA1Ir9fDy8ur3ft3+kQpuVyOAwcO4PHHH8fAgQNx3333YcSIEa2uKTt37tzObkqnGjRoEICmqHBVVRUCAgLQ2NiIgwcPAgDuu+8+u33uu+8+vP/++9i7dy+ee+65TmmHVqvl/h0cHIyGhgaUl5ejqKiIK6AjEokgEAggl8shEAggFAohFAq5QIdWq8XZs2cxePBgxMTEQCAQoLKystVzNzQ0QK/XUyEaQrqByWRCVlYWQkJCqDJ/D0OFfQkhbSEUCmGxWLhr+dWrV7nAY2RkZHc2jRByA2KzzNurSyqr5OXloaysDDqdDtu2bcO2bdta3F4gEPT4gEFOTg6ApmkLbIQmIyODW4c7ODjYbp+hQ4cCAC5dutTsca9dRvFaAwcORHJyMlxcXKDX63nP5ebmYsyYMQgJCcHFixdhMBgwYcIEAE11CioqKhAZGQmRSITY2FiuRgI79aGxsREuLi5gGAaBgYGtrideWlqKoqIiJCQktLgdIaTzMQyD8vJyeHt7U8Cgh6GAASGkLfR6PUwmEzclISgoCOfOnQOAVgfYCCGkrVxdXTs09bzTAwaXLl3CxIkTuZFwdqmY3l71dcOGDQCA22+/nVvasKCgAAAcBguApl+OSqVCTU0N6uvrHX4J5OXlYeHChTCbza22YevWrbyfGYZBRkYGKisrERERAalUisOHD2PkyJGQy+UIDg6GSCSCxWJBWVkZlxng4+PDdfpPnToFi8WCyMhIaLXaFtNVRCIR3RgT0k2kUikvU4j0HBaLha6NhBCnWSwWWCwWCIVCiMViMAyDvLw8AHAq45MQQppz+fJlAIDVakVFRQWefvppLovJtsB+dnY2oqKinDpmp9cwWLlyJRoaGhAREYE///wTWq0WV69eRW5ubov/9WS//vorNm/eDIlEgtdff517nF1msaU0D3Zlgvr6eofPMwzjVLDAEZVKxX2xMAzDnUur1UKr1aKgoICrj1BZWYn09HScPXuWdwwXFxcolUpoNBqHK0DY8vf3x8CBAwE0vfbDhw83+7oIIZ1v5MiRtAxqD0RBHEJIW7i6uoJhGMjlcshkMhgMBq6OVElJSTe3rnutWrXK6amyN5L58+cjPDy8u5tBblBsgLK9On3Y//jx4xAIBPjuu+8wbNiwzj78dZeeno6HH34YDMNg3bp1XC2DzhIUFMRlDkgkErviWWq1GhUVFbzHXF1dodVqoVAo4Ovri/z8fOTl5SEvLw/h4eFwdXWFxWJBYGAggKbMAJlMBh8fH4SFhaG6uhrJycno27cvYmNjIRAIkJub2+r0iPr6etTW1sLDwwNWq5UqgxNyHen1epw5cwYDBgyAp6dndzfnpmexWLh/s0ujEUJIawwGA6RSKZeZJJVKYTAYuAyD5rJWSdfR6XRYu3YtJk6ciIkTJ3Z3cwjpkAEDBgBoum+USCT4+eefYTAYIBAIoFQque3i4uKcPmanZxjodDq4urreEMGCoqIi3H777aipqcE///lPPPPMM7zn2XnEOp2u2WOwUzOam5Nme6PpqNI2+xhbSdf2mOwKCUqlkju+QqGAVCqF0WhEcXExl70wcuRIREVFQSKRcNNDXFxcUFZWhqKiIvTp0wdDhgzhndtiscBqtXI/19bWcucUCoVwd3fv9VNNCOkt2LRVR8uvkuvPNmBKwVNCiLPy8/Nx+PBhmM1mSCQSyGQy3vLblLF0/el0OqxevRp//fVXdzeFkC6h1WqRnp7e7v07PWDQp08fmEwm3uhLb1RdXY2pU6ciPz8fCxYswPr16+22CQ0NBQAUFhY6PIZWq4VGo4Gnp2ezAYNrCxlei/0Sqa2tBQC7dJIrV66goqICAQEBiI+PR2pqKrRaLWQyGUJDQyGRSGA2m3HkyBEcPnwYiYmJUCqVSEhIgEqlQmFhIYqLi5Gbm4ukpCTesc+fP4/s7GxYLBY0NDRwqXNAU7AhNDSUAgbdrLKyEmfOnOnuZpDrQCwWw9PTk1tWlXQv22tfXV1dN7aEENKbeHp6cgWnxWIxpFIpSktLuefZ+liEENJZDAYD14drj04PGMydOxcGgwE//fRTZx/6umloaMD06dORmpqKe+65B5999pnDm/S+fftCJpOhoqICRUVFds+zHfD4+PhOa5vtiL+t+vp6bkqBTqfjahgA/CCDWCyGxWJBdXU1TCYTvLy84OXlBaPRyGUz1NXVoaysDAzDwGq1oqSkBOfOnUNwcDBuueUWAE0R8JSUlBazK0jXGzRoEEaOHNndzSDXATvNiJY17Rlsr8XtrUNDCLn5yGQyrv6TWCyGTCbj1S2g60kTjUaD+fPnQ6VSwcPDAwsWLLC75zSbzXj99dcRFRUFmUyG8PBwvPzyyzAYDLztzp49i2nTpsHHxwdyuRwRERF49NFHATQVH2dXCVu9ejUEAgEEAgFWrVrVYvsuXbqEhIQErsj4G2+8gS1btkAgEHDTSwDgxx9/xMyZMxEYGAiZTIaoqCi8/vrrTg2srl+/HmPGjIG3tzfkcjmGDRuGXbt28bZhz/nFF1/wHn/zzTchEAjw66+/gmEYhIeH429/+5vdOfR6PTw8PLB48eJW20N6r4aGhg4N8nb68PA//vEP/PLLL1i8eDH8/f0xevTozj5FlzIYDPjb3/6G06dPY9q0afjmm2+arX4tl8sxefJk7Nu3Dzt37sSyZct4z7N/1HfeeadT52YL39iKjY1FWlqaw+2VSiViY2NRWVmJ7OxslJSUYNCgQXBzc+NS2qqrq6FWqxEQEAClUgl/f3+Ul5cjLS0NUVFRUKlUSE9PR0BAAHfBzM3NhUajQXBwMFxcXODu7o6goCDk5OSgrKwMffr04T50rdU9IF2LnSJCbnwlJSUICQnB7t27cffdd3d3c2567NQwoKn+DCGEOMNsNnN1CtgMA9uAAdWoaTJ79mxERETgrbfeQlJSEj7//HP4+vpizZo13DYLFy7El19+ifvuuw/PPfccTp06hbfeegtpaWn44YcfAADl5eWYOnUq1Go1XnrpJahUKuTl5WH37t0AmmqFffzxx3jiiSdw991345577gHQ8mBfUVERJk2aBIFAgOXLl8PV1RWff/65wxHcrVu3ws3NDf/85z/h5uaGgwcPYsWKFairq8O6detafA82bNiAu+66Cw899BCMRiO+/fZb/P3vf8fPP/+MmTNnAgAWLFiA3bt345///Cduu+02hISEIDk5GatXr8Zjjz2GGTNmAAAefvhhrF27FtXV1bwV0fbu3Yu6ujo8/PDDzvxaSC8VExNj18dsi04PGPznP//B6NGjkZSUhHHjxmHcuHEYOXJkq+vKrlixorOb0mYWiwVz5szBwYMHMX78eOzevbvVDvE///lP7Nu3D2+88QZmzpyJ6OhoAMCJEyfw6aefQqVS4bHHHmt2f9uLi6NfJBsscHd3t1uRoK6uDhcvXoRer4dAIADDMEhJScGIESO4yKVWq4W3tze8vLwglUqh1Wrh4eGBsLAwqNVqLp1dLBZzF5D+/fvDarWivr4eMpkMMpkM/v7+KC0thdFoRGpqKoYPH46IiAi6Ue4hGIahVPUbXE1NDQDg22+/pYBBD2C7NFFvn4JHCLl+MjIyuOmmbIZBfn4+93xHbupvJEOGDMHmzZu5n6uqqrB582YuYHDx4kV8+eWXWLhwIT777DMAwJNPPglfX1+sX78ehw4dwqRJk3D8+HHU1NTgjz/+wPDhw7njvfHGGwCaConfd999eOKJJxAfH+9Ux3nNmjWoqalBUlISBg8eDKCp4872AWx9/fXXvO+LJUuWYMmSJdi4cSPeeOONFtPEr1y5wtt36dKlGDp0KN59910uYAAAn332GeLi4vDYY4/h559/xrx58+Dv7493332X22bu3Ln4z3/+g//+979YsmQJ9/j27dsRHh6OcePGtfq6Se9VUVGB3NxcjB8/vl37d3rAgF0OBWjqxBw5cgRHjx5tdb+eEDD48MMPuYikj48PnnzySYfbrV+/nksLnjJlCp555hls2LABgwcPxm233Qaj0Yj9+/eDYRhs2bIFKpWq2XM6+8XABgvc3d2h1Wq5dFi2BkJgYCDKyspgNpuh0Wi4jrxAIIDZbEZKSgp3rISEBG7pFvZGt6ioCJWVlRg5ciT0ej30ej1yc3Ph5eXF1WIYOHAgjEYjVxuhsbERBoOB6hj0AHq9nvelQm48bNDVUXFUcv3ZXveqqqp4IzaEENKc+Ph4XLhwAcD/MgyqqqogFoshl8uRmZnZoeObdCZUpveMJQl9+vlAomjfwJJtpxYAxo8fjx9++AF1dXVQKpX49ddfATQN3Nl67rnnsH79evzyyy+YNGkSdw/+888/Y9CgQZ0y0PXbb79h9OjRXLAAALy8vPDQQw/hgw8+4G1re29WX18Pg8GA8ePH49NPP0V6enqLq6/Z7ltTUwOLxYLx48fjm2++4W3n7++Pjz76CHPmzMH48eNx4cIF7N+/n1cRPyYmBqNGjcKOHTu497a6uhr79u3Dv/71Lxp0usHpdLoOTWnt9J7ehAkTeu2Hjh3BA8AFDhxZtWoV701/7733MHjwYHz44YfYv38/pFIppkyZgldffRVjxozp1DZem2XAKi8vh5eXF3Q6HXJycriLhJeXFyQSCbdyQmRkJBobG3H+/HkMGDAAoaGhKCgogIuLCxeESElJ4QIZJpOJi4SLRCL4+flBIpGgrq4OpaWl8PHxgYuLS7PTNsj10VxtC3LjYIN7VDekZ7AtWEuZVoQQZ0kkEjQ0NAD4X4YB0DRQZTabeatitUdleiU2DdvU4XZ2hkXnFiFgaEC79mULi7PYqRo1NTVQKpXIz8+HUChEnz59eNv5+/tDpVJxWRsJCQm49957sXr1avzf//0fJk6ciFmzZuHBBx9sdxG4/Px8h1Our20L0HRP/corr+DgwYN2BXLZgubN+fnnn/HGG2/gwoULvAFGR/2sBx54ANu3b8cvv/yCRYsW4dZbb7XbZu7cuVi6dCny8/MRFhaGnTt3wmQy4ZFHHmmxHaT3k8lkdoXz26LTAwa9eUmSVatWtVrkpDnz58/H/Pnz27yf7cVKKBTadfzi4+Nx6dIlKBSKFjsKJpMJ5eXlCAoKQlFRESoqKgA0VdF3d3dHdHQ0pFIplEolEhMTATQVlGEvVr6+vnB1dQUABAQEcAVbysvLERkZCYlEgrKyMt48OwC4fPkywsPDERoaCq1Wyy01Sa4vWtbtxscGDNgbTdK9bAMGlGVFCHGWbUE824CBWq1GdXV1hwOQPv18sOjcog4do7P49Gv/iGZzA1HX3u+0NkgpEAiwa9cunDx5Env37sXvv/+ORx99FO+88w5OnjzZpfetGo0GCQkJUCqVeO211xAVFQUXFxckJSXhxRdfbHGw58iRI7jrrrswYcIEbNy4EQEBAZBIJNiyZQu+/vpru+2rqqpw9uxZAEBqaiqsVqtdB/GBBx7As88+ix07duDll1/G9u3bMXz4cPTt27dzXzjpcVQqFaqrq9u9P93ldDOGYRAcHIzCwkKHF45Lly4BaH1UkQ0oFBUVISYmBmKxGKmpqRCJRDCbzaisrITFYuHVZBAIBFzAoK6uDhaLBQqFAl5eXvDw8MDFixcBNE2b0Gq1vI6Kp6cnl5GhVqtRUlKCzMxMjB07lm6euwFVVb7xsTeV9LvuGWynmlHWByHEGQzDoKGhgRtpZqckAE33UvX19VxWZ3tJFJJ2j+r3JmFhYbBarcjMzERsbCz3eFlZGTQaDcLCwnjb33LLLbjlllvwn//8B19//TUeeughfPvtt1i4cGGbM6PDwsKQlZVl9/i1j/3111+oqqrC7t27MWHCBO7x3NzcVs/x/fffw8XFBb///jtvcHHLli0Ot3/qqadQX1+Pt956C8uXL8d7771nN13Dy8sLM2fOxI4dO/DQQw/h2LFjeO+991ptC+n9dDodKioqEBER0a79O31ZRaPRiEuXLiE9Pb3VbdPT03Hp0qWbek6u0WhEYWFhh4/j6ekJb29vAE0dfDb4YDabwTAMysrKUFlZieLiYkyYMAETJkzgBQ+qq6tRWlqKwsJCJCUloaioiLuAFhUVoaysDFqtFpGRkRg/fjxXAwFoKqzIpopVVvaMeXM3G5qScONjR1U6so4u6RqtpZUSQgjQNFAzdOhQrvjetRkGIpEIpaWllDXoBLb6/7UdXrbQH1sUsKamxu79ZGsPsGn+CoUCAJwO1kybNg0nTpzgalEATffRO3bs4G3HZknYnt9oNGLjxo2tnkMkEkEgEPCK6ubl5WHPnj122+7atQvfffcd3n77bbz00kt44IEH8Morr+DKlSt22z7yyCNITU3FCy+8AJFIhAceeKDVtpDer7y8vEPZNJ0+FPzdd99h/vz5ePzxx/HJJ5+0uC0b5du+fTvmzJnT2U25Ifj4+LTYCWenMRQVFXGPsfO2XF1d4e/vz0tvGz16NGpra3Hx4kUuwMCSy+XcSFlz56yqqoJWq0VZWRkAcKszuLi4ICAggAtCJCUlob6+HgMGDIC3tzcMBgNqa2vh6+trd8zy8nIIhcLrsr58Y2MjXFxcem2djebcaK+H2GtsbARAFfl7ivLycu7fNBWLENIWbKaYbYZBaGgoUlNTHd4nEXuDBg3CvHnzsGnTJi71//Tp0/jyyy8xa9YsTJo0CQDw5ZdfYuPGjbj77rsRFRWF+vp6fPbZZ1AqlVzQQS6Xo3///vjuu+8QExMDLy8vDBgwAAMGDHB47n/961/Yvn07brvtNjz99NPcsoqhoaGorq7m7snGjBkDT09PzJs3D//4xz8gEAiwbds2pwJCM2fOxLvvvovbb78dDz74IMrLy/HRRx+hT58+XPYx0PRd9MQTT2DSpElYunQpgKYi7ocOHcL8+fNx9OhR3tSEmTNnwtvbGzt37sT06dPp83aTCA0N7VANg07PMPj+++8BNBXWaM1jjz0GhmGwa9euzm5Gr8FGNVnXjh6yHffm1uVtaWRZq9UiKysLiYmJiI2Nxbhx4yCVSrmpBtcuddmvXz+79gBNqVcjRowA0DSSxgYLgKaoaXl5OQ4fPoySkhIUFhYiMTGRK87ITmPIzs7mloi8VlpaGm8Vh66i1Wpx+vRprr7DjYQyDG587EjFzZyR1RYMw3TpKJ3tNAQaDSSEOKOxsRHHjh3jpnTmfZEHn6NNgyXDhg2DRCKByWSiQQAnff7551i9ejXOnDmDZcuW4eDBg1i+fDm+/fZbbpuEhAQMHz4c3377Lf7xj39g7dq1iI6OxsGDB3np2Z9//jmCgoLw7LPPYs6cOS32TUJCQnDo0CHExsbizTffxHvvvYd58+bh0UcfBQC4uLgAALy9vfHzzz8jICAAr7zyCtavX4/bbrsNa9eubfW1TZ48GZs3b0ZpaSmWLVuGb775BmvWrLFbVvmJJ56AwWDAli1buM+Nt7c3Nm3ahBMnTmD9+vW87aVSKe6//34AoGKHNxGj0egw48RZAqaT73T69OmDq1evQqvVtjqX3WQywdXVFeHh4R16Eb1VXFwcdDodtm7d2mXnUKvVDjvIKpUKPj4+vPlWCoUCISEhMBqNLc6v8vf3h4eHBzdPbNCgQVwQwsPDA7W1tVzmQ1BQkMOqsazS0lJkZGRgyJAhvOVfuoLFYkFdXR3c3NxumKrm7JdDcXExAgJu/DmLN7OcnBxERUVhxIgROH36dHc3p8c7ffo0vLy8Wrz+dERubi4iIyMBAMePH3dYMZsQQmwZjUaUlpaioqICw4cPxyqsAgCswir89ddfeOGFFxAUFISdO3e2eA/NLn0dERHBdU5J91u2bBk+/fRTNDQ09OjVw5599lkuGOFooJDcGGyvE6WlpdBoNLylQOPi4gDAqUHbTs8wKC4uhoeHh1OF7yQSCTw8POwq75O2U6vViIqKsnvc3d3dYfVTlUplNyrNfrBaChYMHTqUW5qRneul1+u5zAh3d3fEx8dzN+m2a8g6UlxczO3X1UQiETw9PW+YYAG5ubAprPT5dY5SqeTVaelstkvc2i53RQghzZFKpc2mBvv4+EAqlcJkMlHWUi/AThNkVVVVYdu2bRg3blyPDhbo9Xps374d9957LwULbiIajaZDNbA6vYaBVCrl3Ui1hK0WSzfAzevTp4/DSqwssVgMs9kMg8GA7Oxsu+dlMhlEIhH69+8PANxyLnl5efD19YVcLucuelarFUajscX2JCUl2T2m1+shkUjg4uICDw8PWCwWLmOEnW994cIF1NbWIiEhgbcv+1m5dOkSBg0a1OK5bTEMg4qKCqjVaqdT96qrq5GcnMzVVbiRUPrijY9dxo+mnzinX79+XXp8qmFACGkrg8EAvV7vcGqZp6cn5HI5XF1d6b64Fxg9ejQmTpyI2NhYlJWVYfPmzairq8Orr77a3U1zqLy8HAcOHMCuXbtQVVWFZ555prubRK6j2NjYVvt4Len0DIOIiAgYjUacOHGi1W2PHz8Og8Fgt/TJzUShUMDf37/Z59lgQXPp+uyoI7tEz7XS0tJw+fJlVFVVwdXVlbcig4uLCy9C2lJK+9ChQ5vtZDc2NqKhoQG1tbXIysripbbk5uYiPz+/1Q56W5cRKisrQ1pamtPBKeB/lcxvxM41FcK78bFppx254N9MTp8+jatXr3bZ8W1HZmipS0KIMyoqKnDp0iW7a8aOHTsQGBgIiUQCo9FIGQa9wIwZM/Drr7/i2WefxZo1axAaGop9+/bxlk/sSVJTU7mlFN9//31eajq58VVWVuL8+fPt3r/TMwxuu+02XLx4ES+99BL+/PPPZqcmmM1mLF++HAKBAFOnTu3sZvQaOp0OpaWlrW7XXECA5efnxytGKBKJYLFYuJoCZWVlvOcjIyPtfjclJSVwdXWFWCy2WybMNrNg8ODBKC0tRWlpKSQSCa8D7urqCoPBAH9/f+515eXlISEhASEhIXbt9vb2RlVVld38X4Zh0NjY2Gy6lJ+fH3x8fNqU9hUREdHu9Ud7OkqJvvGxf2c9OdWxJ2lsbMTVq1cdXnc6g+3vwfbaSgghzQkICEBVVZXdfe+DDz4IoGnlq9LSUmi1Wspc6uHefPNNvPnmm93dDKdNnDiRAlE3Ma1WC7Va3e79Oz3D4B//+AdcXFxw9OhRTJkyxWE0IykpCbfeeiuOHj0KmUxGaTHNaG2pE6VSifj4eERHRyMsLIzXubZYLJBKpRg0aBDGjx9vt2RhTk6OwyCEVqttcU3xvn37QiwWc8EAk8nEu1lWKpVISEjgzc+LiIiAVqvF8ePHkZiYyF2wKioqUFVVBQ8PD7tOUGVlJc6cOdPsaKpAIIBYLG5ztoDFYrkhU7qpE3njY4NCN2KGTGfT6/UQCAQICgrqsnPYZjd1ZF4gIeTmIRKJMGfOHN6UJlsuLi6QSqV0TSGEdCqRSNShIGSnBwyCg4Px6aefAgCOHDmC4cOHIygoCGPGjMGYMWMQFBSEESNG4MiRIxAIBNi0aRNCQ0M7uxm9RktFucrLyxEcHAzAcfHAuro6XLp0CZmZmTh9+jRvmS+gKXU5OzsbmZmZ3LQH22kHEonE6aJgrq6uAICMjAycPXsWgH0n1cPDAyaTCefPn+eKGYaHhwMALl68yM3ZY5eKzM/PB9A0VeDo0aN25wsJCWl2zdCSkhIkJia2aSpDSkoKjh49yrXNGV999VWv6IxTJ/LGx6aw0vQT5zAMg5KSki4LENpee7qyuCIh5MZRXFzMFZZ2FBRwcXGBQCCgGgaEkE7l6+vbofuhTp+SADSt6+nl5YWnn34aeXl5KCkpsVsJITIyEh9++CFuv/32rmhCrxIaGoqCggIATR0/25QhtubAtdVYW8JORwCAoqIiAE3LF7q5udn9HmxH8FUqFVdE8NplLrVaLe9nDw8PGI1GXrtqa2vtshPy8vIANGUmZGRkICgoCB4eHtz52OOyAQl2ZPDMmTNQqVQOO+sMw3CjrVqtFkKh0KklGV1dXSEUCuHl5dXqtqy33nqr2T8w9vfUEzrrNCXhxsfWMHBULIvwNTQ0AGj6u9BqtV2yCovtdaQt12dCyM1Lp9NxBWxlMhnw/7+6GSsDgbApUKDT6WA0Gp0KRFKKOSGkObbXB51Oh5KSknbXDeySgAEAzJw5E7fffjsOHTqE48ePo7S0FAKBAP7+/hgzZgwmTZrU7OjxzcRoNHLBAqBtF39/f3+Ul5fD3d0d0dHR3Mi/7QikbTCCvYkGgPj4eLt0f41GA41G0+KavhKJBKNGjUJeXh6vgKItkUiEuLg4XLp0iXtMrVYjIyMDpaWl3JKL7P+Lioq4pR8zMzO5L1ONRgOz2WwXaS8tLUV+fj5GjhyJ9PR01NbWQqlUQigUIjAw0K49tbW1EIlEXLZDZ5k0aRJvikV3oqJrNw8azW6dbTCvq5Zstf2bq6qq6pJzEEJuLOx9D8DPMLCarRBJRRCJRKitrUV9fX2LxaLZ+yKdTtfq8tWEkJsTm3kukUhQXFwMlUrV7mN1WcAAaOo4TpkyBVOmTOnK09zQZDIZlEolamtr7Tr4paWliIiIQG5uLurq6nhLJAJNHYvAwEBoNBq7egW2nflrsR12R0wmE06fPs215dqMCKApYMFmFsTFxcFqtXJBC4vFAo1GA5VKhfz8fBQVFUGhUHBBDrFYDJlMhrCwMKSlpaGxsdEuYMDWajh9+jSApjSbq1evQiKROAwY5OTkQCqVIioqCjU1NVAqlXB1dYXFYgHDMM0W5gRa7ognJiY2+9z1Rp3IGx8b8OsJAaqeTq1WY8yYMV06faOiooL7N5s1RQghzrIdnLFarBBBxNUw8PT0bHFfkUgElUrF1UJQKBQ9ItuRENL9GIaBTqdDeXk5l60dEhLSYn+nNV0aMCCta24VAJbVaoVWq0Xfvn2RnJxs9zw7F46dQhAWFsbVBjAajTh37hxMJhNX9NBkMrVY1NARNzc3CAQCrsiXbeDCdiTPtiPDBihMJpPd9AZ2fzaIoNPpcPHiRSQkJMDDwwNmsxnu7u6Ii4vjpirYcnd3h1qtRkVFBeRyOQIDAxEbG9ts+wMCAiASiXDmzBlYrVZERETA1dUVZ8+ehdFoxPjx43nbV1dXw9vbG3/88Qc3AnDixAm7lRx6kq4s5JiVlQWhUIjIyMguOwdpHXuhpykJLWMYBiaTCQzDICkpCVKpFAMHDuz0ImI3YvFUQkjXunjxIvdvXsDA3HQ9kclkMJvNTmXgsrWpmiugSAi5ualUKu46wTAMsrOzMWzYsHYdiwIG3Uyn0/FqDigUCl7xQpPJBJPJ5DBY4Eh+fj7veNcWGmSxyy1ey83NDeHh4cjMzOTmxdtOZWhu3+ZGPdlgQVxcHEpKShASEsKlxERFRSEzMxMAuMKXIpEIBoOByx4YMWIEKisrERoaipKSEpSWliIgIIAb3bNYLKirq4NMJgPDMM2m5jU0NMBqtWLEiBHcNlFRUQ5v+tnsiD179nCva8yYMT16ZPfagpedia2DQQGD7sVm2lBHtWVFRUXIzs7GF198gaFDh2Lw4MGorKzs9BUTbKsN19TUdOqxCSE3JtvVr66dkgA0Xee1Wi1qampazTIQCAQICAiAr68vBZIJITwSiYRXB06n03WoFECXBQyOHDmCQ4cOYcWKFV11ihuGbdqssx0/V1dXrpPt5uaG0tJSXL161e54Q4YMQXJysl1qvZeXl8OAQUNDA1JTUx12Stzc3NDQ0ABPT88WsxQEAgGGDRuGkpISrrOZkpICoGn0fsSIEThz5gzUajU8PT1RU1PDZUCUlZXxzp2dnY3q6mqEhobCxcUFKpWKVzvBaDSitrYWOTk5AIDx48ejoqICvr6+XNZDbm4ul9VguxTjtUtNstj3TyQS9Zov4a5MRRw3blyXHZs4j/0bpuknLVMoFFAoFPjqq6/w1VdfgWGYLgn22WZatTSNixBCWLYrVTkKGMhkMhiNxjZNpxKJRL1iNSfSO9TW1kKn0/E+q6T3q6qqcpi17awuCxgcPnwYq1evpoBBB4SFhXF/sLm5uSgrK+Oe02q1SEtLg6urq90KBrYaGxt5wQI2lZ+dyuCIo2CBQCDgMg3YEfjmMAyDs2fPwsXFBWPGjMHx48d5z7PBA9s5wLm5uYiPj4fJZEJDQwOGDBmCS5cuobq6mitWaDabuarntlxcXNCnTx8IBALU1tYiPT0dcrkcqampUKlUMBqNUKlUUCqVSElJQVBQEHx9fXHx4kVunk9WVhbmzp0L4H8dgSNHjvTozpltJ6grbxboRqRnYOuTUIZBy7y8vHgrGBQWFsLT07NDX5SO2K4448wqLYSQm5vFYuENtjSXYcAwDHfP1ZF10wlpD41Gg/LycgoY3GDi4uI6NAhKyxR0M4VCAbVa7fC5/Px8lJeX4+TJk81Wy20pWAAA6enp3L8jIiJ4nfTWsCnQYrG41VoLLNuCGnq9ngsW2BYu1Ol0GDt2LG8/NqWXnWuTl5fHpcDn5eXBZDJBp9OhpqYG3t7evLS+8PBwBAUFITAwEDKZDEFBQRAKhTAYDNyXs9lsRkFBAbRaLdfRZleFGDt2LObNm8cdj43sX7hwodes5NGVcxgTExPtgj6kYxiGwYULF+ym+7SEne96bfFTwldeXs4rSJqdnc1lOrWVwWBotvCpbQCiK4srEkJuDDqdjlvNCgDv3o8NGEilUhiNRly+fJmrR0XI9aRUKludDkN6n+rqapw7d67d+7cpw+DRRx91elvbwi6keTqdrsVOPJtqn5qaynvc3d2dK0IINI2qVVdXcz/LZDKuBgHLNqsgPDy81UwBNhJlNpvtbpqvrbXAksvlvHax/P39UVNTw3WQkpOTERoaCp1Oh8rKSsTExAAA6uvroVKpUFNTg5qaGi6D4vjx44iJiYHRaIRYLOZlW5w8eRL+/v6orKxE3759IZFIIJPJ4O/vD5FIhKKiIjQ0NKBfv37w8/Pj9hs9ejROnjxp11bb9GJna0d0B9u6FOfOncOkSZO65DwvvPACpFIpjh492iXHvxmZzWbU1taisbHR6REkNnjVW4JY3cVRcCAkJKTNx9Hr9Th16hQAICEhwe552yCo7fWIEEIccXV1xcCBAwEAU6ZMweeff46PfvwIAD9gYDAY4OXlhYiIiG5rK7l5GY3GNg1mkK6n1+thtVqdHrx1pL6+Hr6+vlwGU1u1KWCwdetWh8voNYeWeOm4wMBAMAzDS38F/veLDw0NRXV1NRdYYBkMBri4uGDUqFEOl/9rLVjgiFAohNVqRVBQEKKionD48GG7ba4NFsjlcuj1eq6+AtBUC6Guro5bSUEul3OFEKurq3kpM97e3jAajYiOjoaHhweioqKQnZ3NO4dSqeQ6CSUlJVwNg8DAQG7k3c3NDX5+fnarOjiqxdCRZUeuJ9upAsXFxV12njNnznTZsTtKr9fzKk33FmKxGCNHjrRbMrQlbCCLAgYt69OnDy/o5+fnBxcXlzZ/SVZVVXH7O2K7VG1bfo+EkJuTUCjk7kGWLVvGq6NkGzAwm83w8fFBY2NjhzoIhLSH0WhstoA46R75+fnQ6XQYMmRIh45jNptx6tQpDBkypM0rR7XpztPPzw8zZ85EY2Njq/9R7QLntPQLGzx4MMLDw+Hq6sqrUM92kMrLy3H27FlesMA2VX/w4MF2qeTBwcFOt822Y+Lq6srNnS4qKsLhw4d5SxmKxWJER0fbHWPAgAF2AaZrI5eNjY04ffo0KioquGDB4MGD4e/vj4KCAsjlcojFYpw4cYILPNi+ToVCgQkTJmDYsGFc4KGmpgZJSUlcx0Gv16O0tBSnT5/mMi1OnjyJp556itcOAM2mIPckxcXFvOUqHb33N7qamhqcOnUKGo2mu5vSZgKBANnZ2aiqqnK6JgH7t0Hp7y2Ty+X4+uuvuZ/Lyspw+PDhFuu2OMK+z3379nX4fGVlJYRCIYRCYa8MWhFCrq+SkhJumqiHhwfvOdsaBuxy1JcvX77ubSQ3Nq1Wi9TUVLsMZFtsli5pn5qaGm7AobP4+flxhe7bKzAwEBKJBO7u7u0aeGrTHsOHD0dSUhJkMlmr/9GIi/PYon62PDw8kJycjLS0NGRlZfEyDBxV5GaPUV5ezv2hnzx5kjda379/f94KA47ExMQgLi4OQUFBXOcbADw9Pe0Ke6WlpXH/NpvNEAgEiIqK4m3TltFp22kXFy5c4DrudXV1uHTpEoCmgm99+vThTYeQSCQQCAQoLCxEcXExBg0axNV8YGs8mM1mZGRkICIigps36OHhwct8ePLJJwHYBzS6Ql1dHRegaI/MzEy899573M+201E6U09eStLd3R0DBw7sFUWhcnNzUVxcjNOnTyMxMRFnz55FVVUV0tPTnZ72ws6ZpxoGLSspKeGuF8D/6nvYXs+coVaruVE+R3x9fSEWiyESibp0WVNCyI3BYrFw16NrAwaMpem7li20bDKZ0KdPn+vbQHLDY7NwWxt4uDar+WbU0NDAqwPnrPz8fLtM6I4qLi522H+zWCwoKChw6h5Eq9WirKwMlZWV7bqPbFPAYNiwYSguLnbqg+Th4dHhaMjNwGAwOJweUFtbC4VCwaXQXnvTqlaruVRZhULBGxW3jRzaprPZdsjj4uIctufKlSsQCoWoqanhjZoVFhZybYmIiHA46lZQUMD9kURFRbWaSmc7FcER2zn6QFO2gtlsRlZWFq9Tn5eXh8TERJSVlUEulyM7OxtSqRQDBgzgVUuPiIjgVk0AmlahsPXbb78BsJ9W0VEWi4WXvgwAb7zxBv7880+7ba1Wq1MjzgkJCbzXdu17rdPpOhSQ6A3EYjG8vLx6xRQSg8GAqqoq7ndiMpng6uqK4OBgBAUFOXUMNnjTk1fu6AmundbEFg5ra2DJYrGgsrKy2aCnxWKBWCyGUCjssoAdIeTG4ePjwwUKmsswYK/vXl5eTn83EOKsoKAgxMbGtnh/LpPJmp2KdzOprKxEWVlZmwfOXFxcOn3Q3N3d3eFKTyaTCbm5uU5lNJSUlMDLywtRUVHtyopsU8DghRdeQG5ubrPr19taunRpm1NACV9cXBxiY2MxaNAgu+cqKiogEAgQFxcHvV7vMPIUHByMESNGODw2u7ShI8nJydDpdLx58T4+PggPD+eCGN7e3tyKBizbzIfs7GzodDqMHj3a7vju7u4AmoIgGo3GYQfo2kwFAC2m57HBDJlMhoaGBtTU1KC2tpYXRTWZTMjIyMDly5dx9epVbmUG22O8+uqr2LFjh8NzfPrpp3jnnXccrkxRW1uLEydOOIzaZmdn4/z589xFh2EYrFu3DrNnz7bbNjU1lcvcuHLlCi8DwtZ3333HK7R2bbTwzJkznVJ4tCfXIampqUFiYmKnB3i6glgshlarRWxsLPr374/BgwdjyJAhCA8Pd+p6ClyfzJfezGq1wmw2IyYmhpe1NXLkSHh7e/OqkzvDZDJBJpMhPj7e4fOFhYUQiUQQi8W0rCIhpEVlZWUoLCzk6iapVCow1v91RK4NGLi7u/OyOAlxBsMwyMnJcZiJDDQN1NlO6XWkqKio1RXYbgbh4eFISEho831wWFgYV8i9s5hMJoe/U4FAALlczvWrWhIYGAihUIicnJx2LZfepqE5V1fXTl/L+mbnKMoXEhKCq1evwmQygWEY5OfnY+DAgXapy1KplOv4y2QyiMViBAYGIjMzE0DTiJptwUMvLy9YrVa7Od/+/v4oLS0F0FRksKqqCgKBAF5eXqiqqkJYWBhCQ0PR0NAAnU6HnJwc5OTkIC4ujtvPw8MD/fv3R1FREQoKCrhjO/qAX9vBc3Nzsxuhk8vlXJFFR65dJWLUqFHcigsikQgajQZXr17loqTh4eEICwvj3o9ri0QCTdG3N954w+H5AGDJkiUAmmo7PPvss9zjdXV1+Pjjj7F8+XKUlpbi8uXLiI6O5jJs2OKL7EWHDSo4ikDaRv1KSkqaHWF44IEHeD9fG10Ui8Wd8rdqGwCxWq09quAem0lTVFSEvn379ujghp+fHxQKBerq6rgCnexc1aCgIKdST9n3viPr6N7IUlNTodfrodVqeZ/TtLQ09OvXr83Ha2hogFQqdbi8FMMwsFgsEIlEEAgEPfqzR248WVlZ8PT0bHa5ZdLzWCwWLn3Yw8MD7u7usBhtvl+vCRhcvnyZK9R8I1xfysrKYLFYEBgY2N1NuaFZrVZcvXoVQqHQ4XTnwsJCZGdnY8iQIc0GugMCAqDT6W6Yz157sYOafn5+3D0Fe1/QUqYnm5XQmaucuLm5Obynl8lkGDlypFPHEIlE3NL0BoOha4seks6n1+t5X/p+fn5wd3dHdHQ0FAoFDAYDNBqNXbAgJCSEl3LOjqplZmZCJpNBKBTazb1xdXXlggUeHh5cFVTbKQwGgwEjR46EUqnkpjlUVlYiMzMT7u7uvNE221Tw2tpah39A58+fB9AUBRMKhYiIiICnpyeioqLg4+MDNzc3NDQ02E1fuXz5crOd08jISLugQ05ODsrKylBcXAyLxcKNzLNRUvY1sksadcS1c4XOnz/PTS+ora3FlClTMHz4cO75p556CuPHj+d+Zqf0OKpCGx4ejvDwcG4Kg7M3hNcGVt5//33897//dWrflvTk+fL+/v6IjY1FWVlZj88ySEtLQ2lpKW/JP7bj72gZQEfYizsVPXSMDbAC/OlMS5Yswf79+9uc3hsSEoLo6Gi7qVFA0/XMx8eHq59y7ZQjQrpSY2MjBQ57mcDAQPTt2xe5ubkIDw+HQCDgggQAv+gh0FR3afDgwXYdNqPR2OO/7xxJT0/nBrNI1ygpKcHZs2eRkJDgMFgA/K+mT0udRZPJhJycnB5dw+p6yM7OxpUrV3j31xcvXuQGSptTW1vLvc+dhV1q/lpWqxVJSUlOTYtk+y4ajabraxjc6M6dO4e3334b99xzD4KDg50eOdq6dStGjhwJNzc3eHl5YcaMGXarEzTHarXyRofLysqQmpqKzMxM7kPqqA1WqxXh4eGIiorC4MGDUVRUxE0hMBgM3L59+/blooi26e0qlYpLhbb9EDY0NHAfJDZgwBbKEAgE3GjbtcGBgIAAZGVloaCgAEKh0C7NmmEYWK1W5ObmwsXFBdnZ2aisrIS3tzcCAwOh0+kglUp5AYlrVyuIi4uDj4+Pw+yA8vJyXoq+l5cXPD09uTTukpISXL161eEyim11bXXZv/76CwcOHADwv1HgiooK7vmkpCQA/ytMyE550Gg0duu3jx8/HlOnToVMJsO7776L1atXA2jqVLJrwl/Lw8PDbj7Sf//73xazJZxle9zOmOLQ2Xx8fLi/vZ6GYRguQOft7c37gg4NDUVYWBhGjBjhdHSYDRR0VQ0Dq9WKnJycXheQMJlMSExMRGhoKBeEMxqNvGBbWloahEIhr45LSxiGgdlsRllZmcOpdVeuXEFOTg7EYjEEAsENXy+E9CxisZiqmPcybOervr6eq91kNdkHDNjru5ubG0pKSuzuN9LS0pCUlNTrAkYDBgzo1BFXYq+qqgp6vR4NDQ3NroIwZMgQjB8/vtXrR3R0NK/vwX4X3kxBhMDAQAQGBvIGR6Oionj1wxxRKpWdvnKSTCZzmHFtMBhQX1/vVNHD8vJyiMVihIaGOjWF4VqdEjAwmUyIj4/H3r17O+Nw3eb111/H8uXL8cMPPzg96rds2TIsWLAAly9fxpQpUzBy5Ejs378fEyZMwJ49e1rdv6UUb5PJBKVSiTFjxtjNOWLX5zWbzbhw4QKqq6vtok9Dhw6Fq6srb/SL/aDn5+c3Oz+evQnWarVQq9UIDQ3lMgDYKQbXrtMaHBzMzYmxWq3cqFxCQoLdSLrtBaegoADV1dVc1c7Lly9DrVbzlmxkpaSkcMdtLnrKnsvR+yGTyZp9zW1xbWRu1apVdue3xf6Rs3/QJ0+eBND0h37tsU6ePIlDhw6hsLAQP/30EzZs2MAdo7nifjKZDCaTCadPn7aLaubk5LT5xqKyspLLgrC9QNXV1XXKl0VRUVGn1De5evUqjhw5gsbGxh6ZNqfRaHDx4kXU1tZCJpOhsrIS7u7uGDp0KAoLCyEUCqHVap0OALDBL2eXYWzJsWPHkJWVZXf8q1evdnp1365SV1eHmpoaMAwDhUKBzMxMaDQaZGVl4bPPPuNNJaivr8fVq1edXjLVbDbj2LFjKCoqwrBhw+yeZ9dKFwqFkEqlbV6BgZD2YhgGRqOxU64D5Po5c+YMN7ec7Uw4yjCwrWFQWFhoN4U0IiIC/v7+7Z4eWF1djcTERFRVVV3X4LC3t3e3FEJPTU3tNd9pHRUUFISIiAicO3eu2eC41WpFbW1ti/eFJSUlaGho4N1X5ebmoqCgoNcFqjrCy8vLbsnyK1eutDrwGBYW1u5sZoPBgBMnTtj93bu6ujrs5IvFYoSEhDiVjRwXFweVSsXrG7VlsKNTAgZWqxWXL192mC7Rm4wePRqvvvoqfvrpJ5SUlLQagTtw4AA2bNgAb29vXLx4EXv27MFvv/2Gw4cPQyQSYcGCBa2uEe/i4mJ3s9m/f3/u31qtFseOHbOrWGoymVBSUsJVAPfy8oK/vz/vJjk3N5cb3fb09ERkZKRdR9vf3583wtmvXz+4uLggKioKvr6+qK+vR2hoKIKDgwHwO/u2gQi5XI6IiAgMHTqUa6uLiwsuXbrE+0AOGjQIDMNArVbD29sb0dHRvE621WpFRUUFqqqqHNZ3UKlUEIvFdtE0kUiEfv36Ofzwh4eHY+DAgfD19XU4H7mtGIaxywxgXfsF3NjYyHX02c68bTEZiUSCzMxMu7TngwcPcv++fPkyGIZx2HEBmjJQSktLHaapVlRUON1JYqWkpODKlSsA/pcdATR9hjojYGC1WjvlRoW9eCYnJ0Oj0aChoaFHpTy6u7sjICAANTU1kMvlUCgUqK+vR3l5OQIDA5Gbm4vU1NRmM0euxf6dOPuFbTKZeJkutjw9PaHX63mdDqVSiaFDh6KkpKRTCh5lZWUhMTGxy24wsrKycOnSJaSlpcFoNMJgMMBiseD1118HAN78TPbzxgYYGhoaeO8NwzC8ERnbm3FHN+YhISHw8PDgVkmggpTEkcbGRpw7d65TPx/s9L7OXuebdJ2MjAyIxWL4+PjwAgYWU/M1DK5cuQKBQGCXiqxUKtG3b982Fy1jGAZ6vZ4bpLh8+fJ1ndpw7ty5biniaDab23wP1FuxtTHc3NzsVgEDmj4D586dw6VLl1q8JkVHR0MkEvHu04YNG4bBgwf3ilWpOktNTY1dNg+7nHJLUlJSnM5mvJbVagXDMHb3HTU1NQ6nEUgkEgQFBTk18MRmNdtOa2pLphpNSbDx4osv4rXXXsOdd95ptwKAI++++y4A4JVXXuFFoUaPHo0lS5ZAo9Fg8+bNLR5Dp9Pxggqenp4oKytDQEAAXFxcuAvdtTUMwsLCeDf1QUFB8PT0RE1NDQQCAVxcXHhfMjU1Nairq+M6gKGhoUhISIDVasXp06e57dLT06HT6ZCcnAyz2YyIiAhkZ2dz65qzX3QeHh68D5rFYoHJZEJBQQHKysoQFBQEvV7PtUEul8PLywsmkwk+Pj5QKpVcLQKLxYIhQ4YAAFcQp7y83C6aFhAQgL59+8LT0xPl5eUQiURQq9Xc+ZtbLzUvLw85OTkwm83w8vKCWq3u8HJFjlauAP63hJtAIADDMPjmm2+4FSzmzp0LgN/hW7lyJTQajd0Xmm1Hva6uDpWVlcjLy0NxcTEyMjJ42yoUCri4uCAsLMwuyqhQKNqcuhofH4++ffuisLCQd0MRGRnZKUUPW2pPYmIir1Anq66uDvn5+byAhUql4v7uFAoFqqureSt7dDeRSASZTIba2lpcvnyZK1hTVVUFoVCInTt3QqPRwGQy8TqrZrPZYXqZbQbPmTNn7DribCE+9j2qrq5Gamqqw6BBVFQUqqqqeIEqhmHQ2NgIlUrF/Z5t32+z2dymzj87F7ejwSGr1YqSkhK7YFX//v0xcuRI7u+HvTaxQUPbz5mnpyeEQiFCQkJQWVlpNwJTWFiIkydPcgEUkUiEhIQExMbG2v29AU3vbUNDAyQSCcxmM0pKSnp0vQ/SPdjgVGcHzfz8/Lq04KFOp3MqxZU4h2EYyGQyKJXKVjMM2OumVCrFuHHjUF1dzd1/AU3fH+fPn2/zZyolJQWnTp2CUqnE8OHDERAQ4DAjsquYTKZOn9ftDPZ+hmW1Wu2C5TeKxsZGXLp0CYGBgQ7T5hmGgaurK2JiYlpc2cdoNKKqqor3nSuRSODh4dGjCl93taKiItTX1/PeB71e3+x0D5ZQKGz39GeTyQSz2WwXEJRKpQ6DhBaLBSdPnuSygltSV1cHT09PKJVK7lht+X3ePL/5TtbY2MiNAt933312z7OPtXWaRk1NDaqqqlBSUgKz2dzseqgFBQWIjIzEiBEjMHjwYGRlZXHRWzaS7OXlhfHjx3Mj9bYXkIKCAiQmJjabAcGuXFBSUoLq6mru5oH9wzGZTLwLrsFgQFZWFiorKxEfH4+ioiKIxWJuecTGxkauA1NZWYns7GycOXMGMTExiIuLQ0pKCry8vBAZGQlfX1+4u7vbjeLr9Xrk5eWhoqICLi4usFgsDjtDbCeSDSYATaP6+fn50Ov1qKioQHBwMAYMGNDyL6MZ7NxmR9hCgwzDIDs7G4899hhXu4AtlGIbndy0aRPq6ursIpaffPIJ929fX198+OGHiIiIgMlksiu4olAoIJFIUFFRAavVyruYxcfHo7CwkKvQ7MyXpKenJ/z9/ZGdnc27KUlLS7PrtOn1+jbfWFoslmY7VyqVyuFNjFar5a00AYCbihAXFweBQAB/f38u8MQqKChwenpRZ2ODPOwXR0VFBdzc3NCnTx/odDp89NFH+PLLLwGAy+gAmjqvjpYQZacDWSwWh6uPmM1mHD16FFVVVbwAVGpqKhITE1FSUgKNRoOqqioUFhbC3d0dHh4eqK2tRXJyMnJycpCWlga9Xg+ZTIbMzEyuaCnQNI3h+PHjsFgsThXNCQsLQ0JCgsO5fEVFRUhMTHRq5KeyshJXrlyx+5yx1yC27omPjw/CwsK4Y9p+uYrFYowfPx5+fn5coCA4OBg6nQ4WiwVqtZq3koLBYOAKqDr6m8nMzERDQwM3JYFd0pEQW2xRzM7snJhMJqSnp3fpXOIzZ87gzJkzXXb8nsRoNHbp365Op0OfPn2gVqu5pdHY7zheDQNL079/GvoTbsEtXIB+9OjRSEhI4LZjB3/amrUikUigUCgglUpRWVmJqqqq61oHY8iQIXbfz9dDfn4+b/qdTqfDqVOnbsissJKSEgiFQtTU1Di8RxUKhYiLi0NAQECLGSpVVVV2c/fT0tLanDF47tw5u6mPvUlkZCTi4+O50XuGYaBUKlutYeDn5+fUoGRjY6PdtUepVGLw4MG8VdTYAVlHWWWOBkiaYzabUVtbC6PRyPUL23Ltu3lySzpZRkYGDAYD1Go1l65va+jQoQDAiww74uiXLBaLYTabYTQaufmxCoWCm/ctl8u5m9T09HTeKLBKpeKCAP3790dBQQF3o+3r6wupVMrrjBiNRshkMrt0XLlcDrFYDLFYzMueYDsqISEhkEql8Pf3h4uLC6RSKaKjoxEcHMwdy2w2w9/fH3V1dXbpvwC4EdfGxkYYjUZUV1ejsLAQWq0W4eHhSElJQWhoKIKCgnDixAnU1NTwMhyu7TQNHjwYZrOZe32251QoFAgICOBugrRarcNOmTNaSte27fjdddddvOcMBgMSExPtopNTpkzBkiVLuIyVay1fvhy7du0CAIfTfsRiMdLT0zFy5Ei8+OKLuOeee3jPX7hwAUVFRTAajejTp0+rF7Lk5GQYjUbExMTwvnQaGhqg1WrBMAwyMjIQGBiIoqIi6HQ63g1NS+rq6rj3qLGxEUVFRfDz84ObmxsKCgogkUgwaNAgLsAhlUq57SUSCVccUywW4+rVq/jmm2+4dXIHDBjALUUVExMDoVAIjUYDkUjEvWa9Xs8F1mJjYzu9MA3LaDRyNyTsushyuRwmkwnDhw/nAgUNDQ0YMmQIXFxccOzYMQwdOhQuLi7w8PBweEz2i8tqtfK+8Ovq6rif2aWArg2UXLlyBb6+vjAYDKitrYVIJEJhYSGXAcMGNvR6PcxmMwwGA28U09fXl8uIsC2AKRKJMHbsWLs6ElqtFhKJxC5VzmKxcH8DRqORW5qwOZ6enhg0aBAvkJSRkcEFznx9fREREcEFPxxFzisqKpCYmIjg4GBERETA19cXEokER48eRUhICCIjI3mfheTkZGi1WggEAofLgN1yyy344osvIJFIIJPJEBwczNWUycvLg7+/f48sxEmuL5FIhJEjR3ZqoVKhUIiAgIAuHSGNjY1tdRStJ9FoNCgsLERsbGybU/XPnDkDV1dXDB48uEvalpmZCYVCgeLiYgwZMgSNjY3NZhiYGps6YyMxEgaDASkpKZBKpVzwQCAQICoqCiEhIVyqvbMp4uwoe2lpKfLy8iCXy6HT6RxO/ewKJpOpy75vW5KXlweZTMYtXezi4oKBAwdet9d9PYWEhMDX1xfnz5+HVqu1G2xkA9v5+fkICAho9jtKJBLZjTyzP5vNZodLgjfXnq4q0txZ2OmMbm5udvchcrkcLi4u3PKS7JRppVLZ4ve7SCRqta4RwzA4ffo0YmJiEBAQwHvuwoULiIqKQlBQEKqrq5GcnIyYmBiHWWVyuRxDhgxxahn18PBw7u+QXRbaaDQ6fQ2hgEE7FRQUAIDDYAHQ1Blmi0vU19c3W5EyNzcXjz/+OC9qJ5fLuS8CNltAKBTiiy++ANDUIZBKpcjNzeWCBaGhoRAKhcjLy4NUKsWgQYNQVVXFpcgrFAo0NDTw5vhHRkbC3d0dQqGQG0m85ZZbIJPJoFAoIJfLodVqeXOZ2D9+rVYLmUyG0tJSqNVqCAQCiMViuLu7w93dHQkJCSgqKsKxY8e487EF30pLS+Hl5cVdzAQCAZRKJerq6uDi4gKtVgudTgcfHx/U19fzUoKjo6Oh1+vtMiO8vLwgl8tx4sQJu/dYrVZzRQNjYmIgEom4P66hQ4fy0v+d0dLF0jZ4c+18PfY9dLQE2/fff89NWbgWGywAgD///NNu3qHVauVS/a5evcrLrACaLvTsaDC7WsWpU6dgNBoREBCAmJgYu9dgMv0/9s47MNKyXPu/aZmazGTSe082m7K72ZatQUEQRFEUEBsqoohK8cjBw1FR7IIF8FMRQQ5iAbGArnQx20t2N7vZzabXSZ+UyWR6+/4Yn2dnkskWQI/nHC7+IJuZTHnfp93Xfd3XHSArKyuuvt7r9RKJROT1WlhYoLq6mnA4zNzcHN3d3axatUqOkYWFBQ4fPkxmZqY0sYzNWPf29uL1eklNTaWrq0sGgE6nE7vdztDQENu2bZPjT6vVcvLkSUKhEI2NjRw8eJAvf/nLfPWrX2Xbtm2SAJqYmMBsNuPxeJidnY3z6GhtbY0jtP5R6O3tlV4Fbrebj370owBccsklAHKc+nw+jh49yqpVq2SwOTk5GedjMjo6yuTkJCaTiTvvvJPOzk7ZtlOQb0ePHiUpKYnc3FyMRiMpKSlxhEFycjIpKSlotVpyc3Nlxl6QBXl5eYyMjMg2pwcOHCAcDscdOEQGXihmNBoNgUCAUChES0sLhYWFcc8/cuQI4XCYVatWyc1zZGSEnp4eGhsbmZqa4tChQ/L+1tTUSH+TWCiVSpRKZVxGNZYMXE7mGrv5i2tjs9nkgUrMCZfLxejoKN3d3axbtw6j0Uhubi4ej0ceMsPhcNzrKZVKNBoNOp1uibxV9Dl+A2/A5XJx5MgRGhoaXpUrNUQPtB6PR5KIKpWKcDgsx/I/Av+o1/1H4tX2jC8tLT3nAOjVIDMzE61WS0lJCUql8oweBvO26NnAS1S5p9VqZQes4uJiioqKUCgUqFQq9u/fT1FR0bIG0IsRiUSk8lOj0UjV5z8rcD58+DBKpZKtW7ee830Sa/5rMTXOz89fMve6urooLy9f0s3rfzrEeCkqKkqYGJqdneXEiRNoNJozfner1UpnZyfp6enyPFdVVRVX2nEuWFhYOKfg+b8TU1NT9Pb2sn379iWPDQ8P09/fL88FKpVKnpHOdP1Eclckjs+ExYlPh8OBRqORZwiDwUBxcbFUhS5WN6hUKmlQGTvOa2pqlryXSERDdKyoVCrGxsakEvxseKMk4VVCZA/PtNiKoPRMxjKRSGSJxEeY18UukouzCTk5ObIGSWTxRAAksps6nY7CwkJWr16N3+9naGhIusVqtVpcLpeUHQv2UAS5Y2NjWCwWGhoa6OnpkcGYeN7c3BypqanU1NQsa6wXyyyWl5fjdDrZu3cv2dnZcYGFTqeT/9br9WRmZpKSkoLdbsftdssApbq6GqvVKhULoo0lRIMYEYQZjUaampqoqakhOztbmiiOj48zPz+PzWZDpVJhNptf1WZ5pprsMz0m6ssSKRSmpqbOapAJ8LnPfU62WhQQJA0gfRpi0dHRwerVq8nLy6O3t5ddu3bJRcPj8UjyS6Crq4tf/epX7NmzJ25sXnbZZXFZ3sLCQgwGA52dnbJsJXasC3XC5ORkwu9msVjIyckhEomQlpYmN5UjR47IbHcwGEShUMgSnYKCAiwWC83NzTLYjc2EGY1GKioqZBtNIK6EI7b7xj9SjrlixQo2bIhmiWKZ3+effx44XXKi1+tRKpV0dXXR1NQkg9/29nYikQiTk5N0d3fjcDikuqSkpISWlhbGx8fZuXMn09PT6PV6/H4/oVAIs9mM0WiMc+kV86Cvr4/JycklDr5iTKpUKrKzswmHw2RkZKBUKunu7sZms7Fz50527tzJiRMnqKurkyU9JSUlcW0jhfLJYrFgtVo5duwYg4ODBAIBMjIypGGXWNNEINTR0RHnKzAyMsLIyAiTk5MyY2K325mdnaW6upqSkhKpfkpJSaGiokKaNUH8IfO5557j17/+NUajkcnJSTn+s7Ozqa6ulmuVkPzNzs7y29/+Vv794jW8r6+PqakpDAYDSqUSm83G7OwsoVCIgoKCVx0cvoH/XRDrZazy7Hwg9rXW1lY5R8UcP9/Du4Df76e5ufmMfbu7u7tf9WeG6Of+Z9arm0wmkpOTE5ZqnQ05OTn/UIIvJycHq9UqDVI9Hs/ptXKRwsAzE03oBAjgdDoxGo1kZWVRUVFBQUEBEJXYi0RMovPL3Nwco6OjS86Mhw8fluc/8Xqv1cvpfFBYWCgN3c4FkUiEnp4edu7c+Zq8iYqLi+PMrkOhUMIa8f8NsNvtDA8Pk5SUlJAEM5lMrFixgsbGxjMagAuDzliVgd/vP2+fnvn5+X95b5+UlBTy8/MTjstEcv+UlJSzZvOtVisej0cm2RJBoVBQVFS05D4oFArMZrO8f8KfLCsrK+E99fl8CY3TE0GM+6SkpFflRfGGwuC/GXl5eTz66KMJH2tsbESlUjE/P7/E9HBsbIzVq1ej1WqZnZ1d4mx+6tQptmzZQkpKijSRKywslIcEn88XJzc3mUzMz89L1kytVhMKhVCr1bLkAJZmZcWiu3hSiPdsamqis7NT1jGJuuPYwRoOh+nu7pblDdXV1fJ9fD4fmzZtYt++fZLMCIfDcrNbXB9VU1ODz+eT7HxssDg5OYlSqcTpdOLz+Vi9evWrksiJtoiJcLaN7eabb172sXvvvfe8PwtECSMR0IyPj9Pa2hr3uEKhoLW1NY6kEWUoQjYeK3f/yEc+AsD73ve+Jffb5XJhtVqZmZmJUx8YjUZZ8iKQmpqKw+HA6XQyODiIxWIhOTlZftZAIIDL5cJoNEpzsLKyMnp7e9FoNJSWltLb20tqaipZWVlMTExgtVrloVBk0CsrKzEYDLjdbqxWKwqFAqfTSVJSEoFAgNHRUQoKClCr1aSkpLBlyxa5iTkcDlJSUpbNYAwPD9PX18e6devo7u6msrJSkhfl5eXMzs4uyzTHmokuh0AgQEFBAQ6HI6G5XuyhXRAG4rOKTWtsbExubBMTExQWFspSJZG9F90jLBYLfr+fubk5GhsbCQaDtLS0MDc3J++rw+GgoaEBu91Oe3s7JpNpybgW61FBQYFk0zMzM6WCAKIGpiUlJezZs4eBgQFsNhtbtmwhOzub7u5ueQ/UajVNTU1EIhGmp6dZWFjAZDLhcDiYmpqScjmj0SgPvCtXrmR2dla+d2x5iViTFm+uf/rTn/j0pz8t5X3z8/PyAL+wsMDatWsJBAJEIhGqqqq4/vrr5d8ulh+GQiE8Hg9GoxG1Wk1SUhJJSUlS7uvz+RK6VP9vgWjtp1arz/vgPTc3h9ls/pdshfpaIcwwRfs4MXYXFhYSZsDD4bBcB91u9xLFophnWVlZcnz7/X65VmzevPm8s+MKhYKsrKwzEqZivgv1mdvtRqfTnfMhs6urC5/P909TKghj1JSUlPNOAhw+fJhwOMz69etf988lzkHiPvn9fmw2m7zPiwmDoDe63ypRcu2113L99ddzxx13kJOTg81mQ6/XMzAwAEBdXV3CWuq2tjbC4bAkcefn5xkeHpaJGK1Wy/Hjx1Gr1ZSWlr7u33k5lJSUUFJScs7Pn56eZnR0VO7brxY9PT3Mzs7S2NgIROdPJBKR80Z4IYm9ZrE8/H8SFhYWsFgsdHd3MzU1RV5eHgaDQc6J5TzRYiHOPCKZ09zcTFFREVNTU7jdbpltPxe43e7XpTPZPxJut5vh4WGKioqW7GWLVRWiO91iVe5iZGVlkZKSwoEDB6ioqEhY1ijKSheXbKSkpJCcnCzPlrOzs5w8eZK0tLS45JgwuBZn98X39eTJk0vec2xsTJb+CvXDuaoL4A3C4FVDHCDPZPgmAvgzZZsSbW45OTmMjY1Jw63R0VHq6+vj/BCEDEXUEq9duxav14vD4cBms8kaFcFEazQaTCYTa9eu5fDhw3Hvl5eXh1KpZH5+Xm7wOTk5ckGNNQMTGXRxGDabzWzcuHHJ4SM5OVl+xtjH0tLSlhyahGHd+Pg4ycnJ5ObmolKpWLlyJcnJyXEHIrVazczMDElJSTKDXFNTI4O2cDjMrl274rwc6urqCIVCpKens3PnziXvvRx6enqkJDkWsbL6xRBZ71eD2FaK5wNhQgfRzXCxW6oYfxMTE+Tm5lJcXMzg4CAjIyOy9d7U1BTbt2+PU0hEIpElWaapqSn0er0M/EVAOjU1RU1NTdx4tlqtWK1Went7pYRclJnA6bKenJwc+vv7CQaD9Pb2smXLFtxut7zOk5OTclyKYDQ5OVlmULRaLbW1tXGqAnEtIEpyCZneoUOHZHCdnp6O3W5n06ZNSxbt7u5u1Gq1/IzCLKa7u5ucnBx5nXt7e9m6dSsqlSqOJDvTGInFX//6Vy688EJZblRcXIxCoZD1qytXriQpKQmTycSLL75IT0+PlJ5FIhE2btzI6OhoXLaws7NTXuPy8nJJyEFU/ub1erHb7dTV1ZGamkpaWtoSM50jR46gUCior6/HYDDQ1tbGwsICRUVFLCwsyOcvvt6xzsCjo6OMjo6SlpZGIBBgfn6e0dFRbDabPHDodDrS0tJwu920trYSCARk6ZIYMykpKVIRUVZWhkKh4ODBg/L+azSauI1eBFZi/IrNPTU1VZIFOTk5zM3NMT4+LoOjcDgsv49Op4tbt3p6eqioqJDrRUVFBeFwWCoMAoEAx48fl2NuYGCA3NxcnE5nXAD5j8L09DQ+ny/hweRscDgctLa2kpaWRk1NDTt37qS6uvqMwd7Q0BADAwPU1taeV3bW6/Vy7Nix8/67fyVEIhFaWlpQKpWsWbMmLohub28nFArJ++33+6W3RqLa3/n5eY4dOyZLW0Qg6XA45LjU6/UUFhbS09NDVVUVOp2O/Px8bDYbAwMDS/qECwiPGDFnBDQaTdyenghbt26NSwIcOnSIoqIidDodY2NjZzWvE8HZPwuii4oIoEXnmbP5iAii+rUGNaOjoxiNxjjvmdjr53K5sFgs0khYrGdxpocxhIFaqYYwPPzww/zsZz/D4/HQ19cnn9vU1MTY2Bizs7NLPvu6devweDxyrEUiEex2u0y09PX1xZHu/2iVgc1mk+2lDQaD9Fs6W4cGg8FAUVERBQUFr0kNIEpgBZKTk1mzZo28PkeOHEGv12Mymf6hpSn/DIga9b1796LRaDh16hQlJSXyXCYM78R+lijZIQzxYuMWhUJBaWkpg4OD53Uv1q5d+y9PDCuVSlkutBjBYJCZmRlSU1Olga3JZDqrSmZ8fFy2O1wu/hPeVgqFIu7cHA6Hsdvtcn8UneSUSmXcOUKYkNfV1bFp06Zz+q46nY5wOCz9S/R6/XndnzcIg1cJceOWCxBdLpeU7Z+JMPD5fDJ7ClGJbFpaGkajEZ1Oh8fjYXp6esmB3mAwSH8CEVB4PB5sNhsNDQ0YDIY4iUogEGBiYoLu7m4ZTKelpZGRkcHc3JwMooQ/gt1ux2w2k5qaytjYGIFAQBqDqdVq5ubmpGQpUZY+1vRRsLui7ncxFAoFxcXF2O12uYkoFApZyxzbZs9qtVJbW8vQ0FBcVnVwcJCSkhKZkSktLY3zJujv78disbBixQoikYg8SJxp8fufIlmLRCKSnDpx4gTXXntt3OOxMs2jR4+yY8cOeeCrra1ldnaW8fFxaegi8J73vGfJuFMoFDQ2NvKd73yH0tJS0tPTpRmiYEGFVH1ubi7OHC8SiZCUlMSpU6ckQWEymQgGg3HqmD179iwx/Vu8QItFFOAPf/gD73nPexgbGyMpKSmhBG5gYID8/Pw4Dw+73U5ycjKjo6PSA+TYsWPk5+czMTEhXz89PZ2enh4yMzMJBoNMTU1htVqxWCxSZgpRElGUcKSkpJxzj+vYg6DIHgnodDpSU1OlhwNE70F6ejrHjh3DZDKxevVqGeiK4ASiRGBWVpYk5E6dOoXdbker1ZKens74+DhtbW1UVVUxPT3NzMwMJSUleDwe7HY7KpUKvV5Pe3s76enprFixgqNHjy4puxEZjN7eXtxuN2q1Gr1eL7+/yWQiPz9fmix6PB45/2JNKAXWrFkTx45XV1fT19dHVlYWc3NzkpkPh8Okpqai0+ni5qpYbwOBQELD1pGRkYRy61jyw+v1xpXjiA4Tubm55ObmEg6HcblcpKeno1Kp8Pl88rqItq1C+SNUHx6Ph7GxMfLz8/F6vczPzy/rgZMIg4ODsiXSYoyPj2O32xMSBpFIBLfbvWxWSKiIhHeJyWRaYhgpsqLp6enSc0aUQp3PwUOtVlNYWLhssDA2NibLc84Eu90u1TIi8y0UKkJl9HocVCcmJuJMSAWBLxIFiw+Z5eXl8noK/yGHw0FRUZFUEjgcDgoLC1EoFBiNRkpKSsjIyIi7JqLbzfbt21EoFAwPD2O326mqqpJSVp/Px+TkpCSvjh49SklJiQyOnE4nIyMjFBcXx5laiecWFxej0WgYHR1dQiDEzqdAIEB5eTkpKSlSVXM2+P1+lEpl3Pvu2rVLmo7GoqOjg+zs7NdU55yWlhZ3/YaGhpicnIw7SIvMslhHQ6EQDoeD1atX09XVxdzcHCaTiWPHjrFy5crzajkokh2x+5ZCoWD79u14vV5JSIv1XWT2l1MYCMJAQK/Xy25SpaWlsnOMUJ6Mj49Lslmv18d9doPBIOeKIJzr6+uZmJj4h3XaiPUe8Pv9cQq1cw3KdTodJpOJ7u5uSktLz8s8T/Sbr6iooKamZsmYbWtrIycnh+LiYlkiF4lElnSg+p+ItrY2SkpKKCwsZP/+/XH72Pj4OC6XS7ZtT4SUlBSCwSBdXV1YLJa4tXg5knexaligr68Pv9+/bBvyfwUsLCzgcDgk4R47Vnp7exkfH2f16tWYzWbUajV+v5/x8fEzkozz8/N4PJ4zEqcqlQqDwSDPJePj41I5plAo5Bm9sLCQwsJCWltbmZ2dleu7KFGCqJogPT39rOoRt9uNSqViamqKjIyM8267/gZh8CpRVVWFVqtlamoqIUsrglXR8ms5hEKhuNKA8fHxOPdv4d6bSGZeUlIia9wA2eJLDLr6+noaGhpQqVRxhxyxMXq9XoaHh6UbOEQ3740bNxIIBORCMzY2hs/no7S0VDrznq21ighaSktLmZubQ6vVSolZbW3tksOcSqUiLS1NbiZCKRAr/RETqK+vD6fTKSXwgrRpa2sjIyOD8vJykpKSpImJy+XC4/HQ3d1NOBzG7XbLQOpMk+WfWd/3WiCkjkDCVkEiGB8YGODDH/4wAH/7298wmUz09fVhNpvZunUrEK+YSdTC5c9//jN2u52PfvSjPPzww7Kjh8iQicVsdnY2ThFTW1tLJBLhN7/5DbfddhsQPYh2d3fT0dGx5H0W97AVREZpaSmBQIDh4WF5KPnNb37DRRddRHl5OQUFBaSkpHDy5Mkl3T+6urrYtGkTJ0+elMaTTqcTp9Mpa/bn5uaW+C3Y7XYMBoO8XuJ3Wq2WqqoqWTcYm20Umf2ZmZlz2ixramqWZJHgdB0/IK+TQqGgv79fkgO7d+9Gr9dLaSWcLg+wWq0YDAaGhoYkgejz+eLmnwgORHlBfn4+mzdvZnZ2lmPHjuHxeHA4HHFkhsVioby8nJaWFgoKCggEAqhUKtxuNzk5OQwPD0sn78HBQQYHB1m1ahV9fX2UlJQwNjaG0WgkEAiQmpqK1+ulrKxMrivis6akpEiVVGxAr1KpqKurkwRh7DohyIjFNd67du1aoqZYsWIFWVlZLCwsyNKZwsJCuru748xJCwoKGB4exu/343Q6aW1tZXx8nHXr1qFSqQgEApSUlCxZM5KSkvB4PFI6KGSiMzMzDA4O4na7yc7OJiUlRQbLwlV/MWE5MDCA0+lM2A62qqoqzp8jFnNzcxw/fpzGxkY0Go0co6FQiGPHjklyesOGDSgUCtauXQsgO6I4nU7m5+dpb29n48aNksRKTU0lEAhw9OhR6urqzkk2PDMzI52nYxHbEtZoNDI+Pi7X6MUQ6htBtJvNZlatWkVPTw+jo6OoVCpKS0uXVVssLCzgdrulgmJmZobx8XFpNBoKhaQcdGhoCIPBQCAQwGw2Mz4+Tl9fH42NjfT398vs08TEBGq1Wu5h/f39zM7OSuJ8cHBQ7vXCyyMcDuPxeOjv75elNfn5+VitVrl29vb2ys42seqD8fFxfD6fJKLgdO9vsQZbLBY0Gg1jY2NoNBpsNhvr1q2jr69PGiCL0kQxV3bv3k1ZWRnd3d2oVCrWrFlDS0sLpaWl6PV6jhw5QmZmJl6vl87OTmpraxMS68JPKDbYEGUDiwkDce0EYeDz+ZZNLiwHk8lET08PoVCInJwczGbzks+1f/9+IpEIW7ZskV5Gs7OzlJWV4Xa7OXbsGJs2bZIEeGzQHYlEGBsbIycnR47JQCCAWq2WHXpEe0ZBkoRCIVleJT7LwMAAarVajs3FpodBz99bwiqXXtP09HSampro7u6W+0RpaSmTk5MMDw9L88O+vj7Gx8dlxx2h7qqvr2dubo5gMIjNZkOpVJ4XYXmuEImC1atXyxZ0CwsL5ObmMjs7S0lJyTm5sjscDkkcGwwGMjMzz1pC6nQ68Xq9KBQKuR8aDAZmZ2dRq9WyBEiUbEB0noTDYebn5/+hnUf+GRBG6CI5UlRUFJe9rqysJBKJxAX3sZ2nAKm8Ky8vR6PR4HA4MBgMspVyTk5O3N97vV5aWlpYv369PE/39/fLZNJiE2ORJKivr/+XSMpZrVaGh4fl94wlDIRSWuxt4XCY3Nzcs5KJIsnU3NxMVVUV2dnZCZ9XXV0tr7u4FhkZGUuumXhNcSbx+/2cPHmS6upqaRK+OMk2NzdHUlKSvP9tbW1y/xXqkvMlDF8XwkCr1coB8n8Fer2eN7/5zTz77LP89re/5dZbb417XDjbv/3tbz/j65wpCyIkjGazmaamJk6ePCkP0qIdTlJSEu3t7axdu1Y6YMbWBovWdCLzEQwGmZiYWBJYiiymkODHumlmZGTI7Fls1vVMEARHU1OTPMDbbLZljf3UanVclkNkX4xGI1u2bGHPnj2ynYlGo6GgoACDwcDk5CQNDQ1MTk5is9koLCyUTLTNZqOvr49t27bJ9xgfHycSiTA/P4/ZbD7jhPmfIk9Tq9UJ2y0K3HnnnTzzzDOSLIDoYUeMAbfbjclkYmRk5KymUbGP79ixQ9Y/eb1e6uvrcbvdRCIReeA1GAyEw2E6OzvZtGmTJAsguvgKYkAEvE1NTbS2tsYRBuIgPjExQV9fH2vWrGF4eDjOXyEjI0O2txPZjFiyICMjg8nJSWnEpdVqZUvRlJQUhoeH4wLSyspKUlNT6enpYXp6GrfbvSSY9/l8caRIT08PU1NTrF+/Pq405FwyVbE1zmazmeLi4iUkofg+YrOOvUYiaBDzS/xffE/xWUTAbLPZaGxsZOXKlXKei3srDFdFfX8izM3N0dLSQmVlZZzaB04H9nl5eTgcDvneQm3i9/vle+Xk5OB0OmVJVSzRarPZZKlFamoqSqVSBvuiTALia/Aef/xxdu/eTVVVFT/4wQ+WfO6cnBzZLUV0n8jMzMRkMqHT6ejq6qK7u3uJZF5s6sPDw5jNZlauXCnVAkJl5ff7OXLkiFRWNDQ0kJqaSm1tLZ2dnZIYPnjwIBUVFZSXl9PT0yM7WOh0OjIzM6X3hfgMJ0+eJBAILOloMjg4yMDAgCSUy8rKpHrhwIEDmM1m8vLypJGsIGHXrl0rCWOn00lGRgYpKSkcPXpUKt5SUlIkwVpbWyuJDrfbLUtS/H6/NMYUwZJwgO/p6SEjIwOVSiXlmfn5+VJNkpycjNFoxOPx4HQ641Qma9asob+/H5VKRUZGhgzWhKIhKSmJzZs3E4lEmJiYwOFwYLfbGR0dla0/Y+e+6CggSt1Eq2ERvHq9XknqeDwe2Xp37dq1pKSkkJOTw9GjR8nIyGBqaork5GTZlSQcDrOwsCBJevGcqqoqgsEg4XCY7Oxs3G63lFcPDAzI9wCkdwgQ1+YUooRhenq6DKb9fj+Dg4Pyevf19cl1Sa/XMzU1RUlJCeFwmJGRERQKBS6Xi4mJCXnWEHt4b28vycnJrFu3js7OTqxWKyUlJSQnJ5OamioJw5UrV9Le3i7fx+fzSf8a0ZpLYG5uDrfbLZVKsRBE1GJs2bIFiAblo6Oj9PT0YLVapWx/ZGSEsbEx2RkmERwOR5x6QByeYwN40S3n6NGjMthft26dLNFUKBRoNBqamppwu93Mzc3J6+52u+nu7mZ0dJTVq1ejUqnYu3evTByNjY3JsdHQ0EAkEmF4eJjBwUE53wAOHDhAYWGhvGbLehgoEntFzM7OyoRHVlYWvb29TE9Py+4JEN1LhJplaGgIv99POBwmJSWFlJQUWZZpsVhedWeJM0Gs0aFQSLrMb9myRRrptba2kpqaKstax8bGZMvJ2EBUjB9RjitKcwVpMDY2Rm5uLoODg7ILzuDgINPT0zQ2NpKUlCSNvefn52WCrKysDKvVKs+JBw4ckGv4v7KbfyIsvn8mk4mioiK5ni5WLikUCubm5rj55pv54Q9/iNls5vDhw5SUlGCxWJifn5f7l9vtJhQK0draitVqlWbqBoOB1NRUWlpaKC4uxmQykZKSEke2DA0NSQ+0xWVBgoD2+/3npeIRmJycZGxs7KyJmLa2NnQ63bIlWwKRSASDwUB+fn5coN7R0UEwGIwj6AXZcbYWrLm5uWRnZ7N7925mZ2cTEgbBYJDu7m5KSkrQ6XRkZGRQVFTE2NgYKpWK2dlZKisrpaeEMBmH6BkwOTmZhYUF0tLSyMrKwu12x7VJ7ezsJCMjg9LSUjlOCgsLcblcTE1Nyda859Na9XVTGPxvNnhaDp/97Gd59tln+drXvsbb3vY2OTD37dvHgw8+iMViiTPOSgRROxUbwFdWVtLV1bWkS0JsiYHX65WtwARMJhNZWVlMTU1RVlbGwsICR48elTW7KpWK4uLiOEVDZmamPAh2dnbKDXfFihVyU4tt26NUKqVxzpmwcuVKFAqFNEHbvn17XHByNigUCnlAEIc/m80mg4OJiQn5WtXV1eTl5VFUVBTHXC+u+YPTPerFQvU/bYNIhF27dp31Obt3747791ve8hYgWiNZV1cnx9GZujwsxu9///s4E0cRPOfk5FBWVkZycjJqtZqWlhaAJe0rRRaqsbFRGkk2NzdTWloaFwwLkktA+AMs9ktIS0vj7rvv5gMf+MCSz7rYEVyMKVHTvxjLOYQLf5FEEL+Pbe15NoWRQGz7U7ERqtVq8vPzpeFQIiVGLNauXcuRI0eIRCJkZWUxPDyMVqtFrVazceNGOjo6yMjIWKIc0Wg0bNy4EUAGmRCdG+vXr+fQoUOYTCZSU1Nlpl2QAj09PRQWFuJ2u/H7/ZLoqKysRKvVymBcmDBCdIwJn4re3l4WFhZobm6OK93q7OyU90in01FaWsro6CgbNmxAp9PFeZEI8vKnP/0pn/jEJ4DompDoMGK321mxYoXM8AeDQflaW7duxWg0yg31wgsvZOfOnaxYsYL+/n6ppjl16hQVFRW4XC6ZPXQ6nUu6jfh8PhmIxY5foTwB5PsdP36c0tJSqquryc7OZmhoiKSkJNkdQ8ink5KSKCoqIhQKSTWGWq2WHVCsVmscoTQ/Py9bkx48eBCz2UwwGCQSiWA0Gtm+fbv0lMjJyaGrq0ve29raWk6cOEFrayt5eXl4vV5pOikgJOqiq4cYN0JVJoJ6iK7fQvXT0tKC2WyWLQMB6YsisvFKpZL29nbC4bAcsxqNhnXr1hEKhTh48CAlJSX09/fT2dlJRUUFWq2WjIwM+vv7ycrKwmAw4HQ6ZRa/vLw8ruxqfHxczltBIAn09PTgcDhIS0tj69atOJ1O2W64q6uLhoYGJiYmGBsbY+PGjdKfAaJ7z/r16+nq6sLr9VJdXc3Ro0fJzs6OG5cqlYq5uTkaGhpobW0lKSkJr9fLypUrSUlJkddMGB2Ka7thwwbC4XAc8ZCVlYVer5e+HGK+ieufkZFBZ2cnubm5+Hw+2fJ5amoKu90un2c2m6msrJT+NrHz0mAwyLW5trZWknjBYFBmaEXAJkpEhA+RCGJdLheZmZlMT09LT4TR0VF5LyE+ISFID0FOBAIBZmdn4zw2RMZcoVBIJePMzAwqlYrNmzfLgFAcqgsLCxkaGqKlpQWNRkMwGCQrK4v5+XlmZ2eZnJzE4/FQW1srS4qEb8SePXtoamqSnQ+EBxBEg6H9+/dTU1PD0NAQmZmZcp9qb2/nv/7rv+ICmFgPg0gocrokIZL4aC6MzioqKjh48KA8A42MjDAwMIDRaKShoQGXyyUDKxFgi6y/WHPm5uY4ePAgdXV1HDp0iDVr1iyrEnK73Wg0mnNKohQWFhIKhWhra5Oy6Z6eHpnxdDqdcbXYs7OzLCwsyPbh4vNmZmbKTlbr168nEolw9OhR0tLSSEtLo6enh5SUFLl35ubmypIdoSQIhULMz89TXV1NcnIyw8PDOJ1OLBYLDodDlhlmZmZisVjQarWyDPgfob4QCAQCHDhwgDVr1pyxxOfgwYMykZIIDodDdsESQadGo8Fut5Ofny+vkTjndnd3c+jQIR5//HGuv/56LrjgAtLS0uLWdVG263a76erqknuDMLEWqkG32y0VYYvPOcLEeGFhIY68heg61NTUJBOYy6lNhBJ68eOi3XxHRwelpaWMjY2RnZ29JCYRe+zZCIPx8XEsFsuSoF54E4kSD5PJhFarlfHS4ox+LI4ePSrn4pnmjFhvLBaLLCtMTk7G7/fL9U3sF9PT0/IzCjP6iYkJMjMzKSoqorW1VZYZCKJajC1xxvH5fFL1JNRxb5QkvErs2LGDr371q/LfYjGOrUP54he/yNve9jYALrroIm655Rbuu+8+Vq9ezVve8hb8fj8vvvgikUiEn//852cNSMWkE1i1ahXz8/MUFBTEtSnbtWsXCoVCHsqKi4slQypqaURf3U2bNklzQEBuAiLjLuq8xYB3uVzykClIglOnTknZ8alTpwgEAqxatYqkpKSzGh4BkqmbnZ3FaDRK9v7VZO1FMCnUD6mpqej1erlxRiIR9u7dCyAls4CsPVUqlbI932JW8nzcd2Prw/9VoEBBta+aYxwjwvJqie985zsJf3/99ddz0003YbFYuPjii7nnnnvO+H6x2SSh3CgpKeHkyZM89dRT3HzzzbLGOdb4LxKJ8Pvf/z7ha8aWtwwODtLZ2blETm4ymaitrcXtdsdl9QWCwSDXXnsthw8f5pOf/CQTExPk5eVJOX8oFCI5ORmFQiFlXZs2bYprcymIulhkZGQwMzMj2fLYrFlaWhrBYBCPxyOD5VjZvgjunnvuueUv6N+xfft2fD5fHEu/YcMGOa5F/bBAU1MTIyMj9Pf3y/pWnU4X10s41gFbp9NJVnxqaor09PQ4TwQxZ2Il9bFKEZVKJdcZvV4vJd/79u3DYrGg0+no6OhgdHSUbdu2xZGdBoOBhoYG2RkhKysLtVrN5OSk7FQg/Ai8Xi9r1qyRWfb169djMBikj4lwKBZtZGtqauQ6KMgCiFfCXH/99Tz88MPA6cOQUCdUV1fLoEilUrFu3Tq5VgjyTBxYRGcM0WZWeHIolcq4AGfbtm3s2rWLoaEhzGYzLpeLkpISMjMzpWO3CDBix4zL5ZL9wVetWiVrGmOv5eDgoOwy4XA42LBhA8eOHaO8vBy3243NZpMtcYXnwtzcnAyKLRYLx44dY82aNYyOjsogsaKigszMTJmBmpiYoL29ndzcXEZHR3E4HJLUFga6dXV19PX1LfHxUSqV8oArxi9ElSBOpxOtVisloALi+jmdTmZmZsjIyKC3t3dJllqUQIj7K4JirVYrS5zEGLXb7ZIYEUTF4q46seSfeKywsJDc3Fz5WsJ8VLT8LC8vZ9u2bYRCIfr7+2Vm3Ol0YjKZpNll7PWdnJyUKqWkpCTWr1/P7OwsZrNZSn0LCwuZnp6WRqRKpVIS5GIsimB+fn5eKkNEMD0+Pk52djajo6P4/X6ZiMjKyqKsrIwTJ04wPz8vSy7EdbfZbGg0GvkeDoeDU6dOsXbtWlwuF21tbeTn51NcXMzY2JjMaKvVag4fPrws4Wq32+VrCvIJomuJTqdb4uI9NDRERkYGK1euxOVySbNaERCOjo7K7zcwMMDIyIhMeFRXVzMxMbFkb8jJySEQCMR1Nqqqqopbp8vKypiammJ8fJypqSlCoZDMNgtCZWpqitLSUiwWC+np6Xg8HvLz85mfn5elCn6/n5UrV7Jr1y6OHDlCVlaWDGDhdEnZQw89JN97OYWBKpxYqi3myf79+6XCTq1Wyz1UEAVC6SEy7Xv27JFnL5GIcblctLS04HA4yMrKWtYjIBAISGJK1HKfCUIV6/V6ycvLw2w2y3vv8/lIT0+PMyGsrKyURsxms1mWaygUCjo6OlhYWGDNmjUkJyfL9V6r1bJu3Tr0ej3r1q2T+4FQjop5mZycTFNTkyQgGxsbUavVtLe3S0WXIJQcDgdtbW1ShZebm8uBAwek0lXMxdnZWQKBAOnp6Zw4cUKWxibqWLEY4vwuPJL8fn9CwmBmZobk5GQZGyRSgvT19cl1QNxbQVoWFBTIuTI/Py+DRIVCIee+IAILCgriSNSOjg5JKkF0jxLjzmq1yj1s+/btuN1uSTqlpKTElTWI8r2ZmRn595FIhGAwKD04VCqVLIddfJ2OHTtGaWlpXK0+RBU0wrQvEAgwMDAQ15pdYOvWrfKaLeexANGzldfrpbm5mdTUVCoqKtDr9VRWVnLs2DFmZmZkQlylUhEMBpmbmztjNw2TycTY2Bjp6elLymiEEbxGoyE9PV2ukbOzs5JQ1Wg0UmEVW4okEAqFyMzMRK/Xx61t4jv29/djs9nIycmR116hUEjVnvgu4nfnitedMBCGEElJSUsYm4WFBb785S/z4osvolQqufzyy7nzzjtflSzlH4Gpqam4VnECsb+LnVgAP/jBD1i9ejU//OEPefHFF0lKSuKiiy7ii1/8Ips3bz6n940NmGJN4vLz8+UirtFo0Ov1MtgR8qxNmzbJvxesqqj5bWpqimMmRYAQ21LOaDSSnJyM1Wqlvr5eTjBRvwQsMRU7F5w4cQKVSkV1dbXcoPr6+hgeHj6rodViiFpVwdTb7fY4SZsw+hGEidhwRNYUkBtmTU0Nvb291NXVodFouOWWW/jhD3/IQw89RGNjIw0NDQQCAb773e8u+RyVlZVxGZ1/Ft797nfzu9/9LuFjddTxTt6JHz/ttCd8ztnwox/9CICLL774rMFt7CGvsLCQ2267jf7+fj796U/zyCOP8KY3vYny8nKOHj3K9PQ07373u8nKyuLaa69dIhFvamriyJEjHD58mK1btzIyMsIFF1wARD0WBGpra9m7dy+f//zn+cUvfsG2bds4dOhQ3JiMLcURi6bX65UHIZFZ0Ol05OXlYTQaSUpKori4WH6nxWSBkFHa7XYZVMYy8dPT0yiVSjIyMiguLkalUpGenk5LSwt9fX3cdtttOJ1OKbk9E2KDdgERDA0MDCR0wQ2Hw7JO9lwNoYQfwfPPP09jY+MZP5uoKRfZuOPHj1NTUxO3UW7atAmVSiVlh5OTk+h0OilBj8Vipj83N5eZmZm4DEpJSYls1xcMBhkfH0ehUFBRUSE3zK6uLnQ6HfX19RiNRpRK5ZKe77FBzM9+9jNJGAisWrWKUCiE1Wpd0g0gliCA6L3ZvHkze/fulUGl8JnRarVL1kalUklxcTFzc3MkJyfLgOLAgQPU1NRQWVkpVSixgYuQgwqiTaPRyOsA0fmWnZ1Nb28vMzMzrFy5UmZwZmZmqK+vl+U4wpQ2EAhw8uRJab4r7lNssF5eXi7XzMnJSdLT00lKSmJhYYHR0VEMBgMFBQV4PB4yMjIkSTI7OxunnLBYLJKQFSULRUVF9PT0kJ6ejtlslodr4dY+Pj4uDzBTU1MUFhbGZWzF9QyHw2zYsIHBwUH5noJAFyoYcS0FmRGr9BFISUkhEAiQlJRETk4OXq+XlJSUuEAzPT1dHsJEuYAgC4xGo5yXKpWK7du309/fL9UlZWVl5OTkkJOTQ3NzM5mZmUxOTtLf3y87FPn9fmZmZrBYLHR1dcnXW7VqFS6Xi4KCgiWHW7G2eL1eBgcHueGGG7j77rt55zvfCUQPmxqNhq6uLmkEWVZWhs/nIzk5WZJz4jrHflcRAJWVlcka+1iPBVFmptPp6O3tlRnLtrY2vF4vGo1GGit2dXVRWFgolQIiKDlx4gSpqam4XC7Wr19Pe3s7WVlZWCwW2aJUrVbjdrux2+1LyASFQiHLL4xGI1VVVYyOjsp2lCdPniQ7O5uioiJJMIiSw8XKtpmZGXw+HxqNRrYqq62tpaenB7VajdFolEHW4OCgJJ77+vqoqamhp6eH/v7+ODVeaWmpXDfWrFnDzMyMJOAEBgcH0ev1caSu8DBQqpWEg2Ei4WhAqQ4vfzSfnZ0lGAyi1+tZv349/f39UuWRmZlJf3+/3AuFh0qitmvi7CdISp1Oh8PhiPNcEFl9iM6rwcFBiouLUSqV2O126ccgAm6fzycVK+Xl5bhcLk6cOCENeIX/1Z49e1i7di2Dg4NSDp6cnBw37ufm5iRJKT6D6EgE0f1JBNyTk5OS2ITofLFYLLIE6/DhwyQnJ8uOCzMzM/J8OD09TWdnJ6WlpRQVFZGfny/9DsS5Ym5uThIGLpcLm82G1WpldnZWBuDr16+XgazoSOXxeKRnS2y5GkQD8cXGebHGd4AsM4uFzWaTRILowqPRaCgsLJTzV6PRMDg4SE1NDePj4/T09KBUKqXfkLhGseQhRPeYyclJSRZkZmbK0rdYrFq1SrYpr6mpoa2tjeLiYhncizhGqVRKbxiIrj2iXCLR9xcQrY31er0scxMQ5WNifjU0NCSMIYUxcigUYvfu3cu2N0xKSpJnC0HmFxYWMj4+jl6vp6ioSCYWfT4fer3+rK03MzMzWVhY4MSJE6jValauXCm/6+HDh8nJyaGiooKKigrUajVer1eeYfLz86WKwWAw4Pf7pe/UwMCA7DolyhDFfRRJJbPZLEkosbc2NjZKclCcWc1mM+Fw+Iwqj8V43QmDn/3sZ3zmM5/huuuuk63CBN72trexe/duybIdP36cXbt28corr/xLtN748Ic/HFfn/Y/+OyChHEQoAILBoDycbd68WWbZhLEbnK7/2rRpk5QfB4NBueGPjIyQlpYmTWOElEfA5XKhUqnQarVxnyVWGfFqevUKCWmsEddyxh9nQ3l5uTSyARLWD61du3ZJLU5XVxdjY2M0NTWRnp5OZmYmU1NT0hhHo9FQXl4e52Mgfv7sZz+75D3uu+++cyaBxCH2XPGf//mffP3rX0/42Jn8IpKIBopazl1WtBwWk2GJ8Oijj8qfQ6GQ3MjFpjMwMCB7HH//+98Homx6onpyiI71tWvXolKplm0919nZyU9/+lNeeukl/va3v3HNNdcsMYXp7e2VgZXIeA4MDLCwsMB73/teSktLOXbsmKxvLi8vJxAI0NHREafciYUo+4lEIlRXVxOJRHA4HGRnZzM/P8/Q0BDhcJiJiYm4wAmiSqTXqkYRppy1tbWyFZogL1944QUuvPBCwuEwFovlnNdPISn83Oc+ByztPtHc3Cyd2VUqlZQWik4pizu+iMObQqEgPz+ftLQ02b3h5Zdf5sMf/jDBYDAh4SjMdxY7U+/bt4/09HR5EJmbm2Pbtm0y293d3Y3P56O1tZX6+no6OjqWzMvFMsjFiF3fRIY19kAdiUT4xje+AZz2khGyaoBPfvKTANJDZs+ePXzwgx/kwgsvBE4fvJxOJxs2bGB+fp68vDxSU1PlgdBgMOB2u6msrJQycvE7OO1OL0iKoaEhcnNz5TgXbdUgSupGIhEyMjIwGo20trbKA319fb00qQuHw1itVvm+se7jseNbtGtbWFhgxYoVJCcn4/F4OHjwoDTh0+l05ObmStm50+mM62gTC7vdjt1uZ/Xq1SQlJaHRaKisrMTj8cS1XB0dHaWgoICCggI5L3fu3CmzPkJ55PF4pNItdgyLdm2JvHJE8L9+/Xp0Op3spDA4OEhGRgZWq5WBgQGOHDki9+Da2lrGx8fp6uqiqKgIs9kcd3gVWXSLxUJOTo4scxFB1eTkpAxwTSaT9GgRn9vpdJKbmys7PZypZG9oaAiv10tBQQFtbW186lOfkoRBamqq7MoA0bXLbDZLOb/wlKioqGB0dBS73c7CwgIdHR1xQVhmZqbsbiCMAaurqzl16hQ9PT2UlZXJ/aiiogKfzyczzuPj4+Tn50uFhqhR9nq9jI2NUVBQgM1mk2U2gFTf9PT0yHJKMR7EOPV6vUQiEdRqNSkpKVLxVVtbi81m49SpUzJbVlxcTHFxMeFwmMOHDzMyMkJ1dbXs6DQ7Oytb5gpT6eHhYVJTU2XnmfXr12Oz2eR9zcvLo7i4mMOHD9PZ2UkwGJTrsihdOHbsGJmZmfT19bFly5aEysXBwcE4rwE4rTBQ69SEg2HCoei/YxUGsdnlqakpTpw4gc1m46qrrqK/v5/s7Gx5vlMqlRgMBkl+JyrdikVDQwM9PT309PRgMplobW1Fr9eTn59POBwmMzNTqim0Wi29vb1L/JLMZjN2u31JSdbAwIBcq5KTk7nttts4dOgQTz75pFQEibW/r69PnutE0CZUMmvXrmXfvn34/X52794tPbna29slmS2watUqjh07hlarpaCgQJbyiM4pPT09aLVaKisr8fl8jIyMyPNCX1+fJP5nZmYYGhqiuLgYm80mk1NCtVBaWopKpZIG4RMTEyiVyjjCV5R2lZWVyWw7IM2SFwfLwWAQp9OJUqmkrq6O3t5e/H4/LS0tuFwuamtr0Wq1OBwO2brVZrNJVWAkEqGoqIj09HTuvPNOLrnkEjIyMuR9F+SGOKscOXKEqqoqbDYbNTU1slNSLFEuvEEWo729Xe6FTU1N1NbWotfr2bt3L8nJyaSnp8t9QXQCEO0axWuLTjGJIEqfxRk6NsmYmprKqVOn5PdIS0sjMzNzCfEv9iKhTI5NIsTOKaVSSVFRERkZGbK8AZD7tDCKFB0/hK+MWHNiSa5wOEw4HJbq597eXhwOB8ePH5ffoaKiAqPRiNfr5eDBg9TX10siX5hMCn+vdevWMTQ0xMjIiCSyurq6qK2tpaioCLvdzvr163E6ndLMOzs7m6ysLGw2m7yXHo+HcDhMaWmpJJdDoZAkxf7bCIPnn38egPe9731xv3/mmWfYtWsXSqWS973vfej1eh577DF27drFL37xCz70oQ+93h/lfwQUCgVlZWUyc6lSqVi9erV0Nobo4I5dFIeHh6WBj3B8hdOyRbFpz87O0tfXJ9t3iEO0kBsVFhbKjNHrjUQqAoPB8KrIB4ge8M/0OVUq1ZJgpri4WB5mampqgOimKTaFRDiTCWKi8pLvfe97CcmFgwcPxi2GH/nIR/j5z3++7GufqY7tiiuu4MEHH+R3v/udlCcJ5GbnwjiEY3swvUpcddVV5/X83/zmN/Jn8V1zc3MxmUxSQngmPPLII1x//fXcfPPN/OAHP+BXv/qVfExkl9/0pjdJ+TUgO2yIDVvgpptukj/7fD60Wi3/8R//wb59+7jiiiukbP/UqVPk5uZy5MgRmWWOhahTBaQZlhizCoVCjqPR0VFp4jQ+Pi4DJzHHzleRE9tppa2tjcOHD/PhD384rhwqtpznkksukQfQ80F6evqyZTj79u3jggsu4Dvf+Q633347gAzYcnNzz1gLGCufFi3ShBHswsJCQhnrzMwMJ06cWGJmVldXJzMGQpYnkJubK0kJj8eDVqtNSOKdybzz5ZdfZmZmhl27dnH//ffLtTeWMIiVwotNd9OmTdjtdnp7e+XhTwQhED+HFQoF1dXVqFQqWltb41rkVVdXU15ejs/n48iRI3HKFvG5S0pKGB4eXiKhP3ToECtXrqSkpISjR49iMplk9u7w4cO4XC7p5yKC19nZWUZHRwmHw1KpNjIywvj4uFRuCGM24ay+sLBASkqKdKyH014S4jrFZj9iW7uK75+bmytVE3q9nry8vDg13fHjx+W8tlqtrFy5kpGRESlN12q1LCwskJmZKQ0oxevGHtIUCsWS/UZkuGpra3E4HHg8HtntQGT7UlJSqKysZGBggOTk5DjjwsrKSvx+PwqFgpycHFJSUmhpaYkz44NoGYNKpWL9+vVAlBwVxHt9fT2tra2MjIzEGWeJwEgYSoraWJvNJuW2ibB69WoOHjwoD92LOxUpFAo2bdpEf3+/7CIjXOLr6+slsVhUVITVapVGwaIERHz+4eFhNm/eLP1UhCmYII4EdDodTqeTvr4+SktLZYZeo9FgsVjkfBABaH9/vzT0gugaubCwIMuDJiYmsFgsqFQqqqqq5D12uVwcPXpUXisxL8TcSElJwWg0xgUMCoUCn88nTcN6enrirlesb05+fj4ajUZ2/+ju7sZsNhMKhaQXh1KppLa2lpmZGVlWYjAYqKys5MSJE5hMJjIzM/H5fMuu/YnWa+FhoNZHCYOg7++mhyhRoyZIUCpiIDrn7rnnHvbt2yfvTWlpKe3t7bLNa1JSEk1NTbLsx+12y7U75A8RCoRIMp4+S4nx1traikajkR2lIFqi1tDQINvsxkrVN23axMzMDCdPnowjaPPy8mRHGIGOjg6p8goEAqxbt47x8fE4/y6xToVCIdnyW6w1onvFxMQENptNKn6ysrKk34sw0N2+fbtcV8Q6LfwZnE4nAwMDeDyeuHXXYDBIb5j9+/dL4i47O5stW7YQiUSIRCKMjIzQ29vLihUrpCpQkPY6nU7u4xaLBZ/PR19fH3a7XX6epKQkdDodQ0ND0qxRKFiE/0dWVhaRSITVq1fHeU+Jso6amhqsViterxe9Xs/09DRerxefz8ff/vY3fvjDH3L8+HEGBgb4xje+IctrkpKSmJqakt5ewgxz8+bNDA4O4nQ6pfluUVERMzMz0vclEolI1cbBgwdlQDw0NMTBgwdZt26dPAMolUqsVit79+5Fq9XK8kKIeputW7cOjUYjidNEJc6xZTB5eXns2bOHYDBIU1MTZrNZEtRwWs2WmZnJ+Pg4Ho8nrhNLSkoKeXl5TE9PEw6HKSkp4dChQzKJ2NvbS2pqqlwbhafJihUr8Pl8cZ0OkpOTyc3NxWazSbKrvr5ekj+CIBBrpigtjD1nms1mmQjW6/WMjo7Kc6XoTifOCeL7KxQK6dMizISNRiODg4OcOnVKrn2iLGZkZASXy4XT6ZREKERVO4I40uv1kmw8V7zuhIGQmyx2xP3Vr36FQqHgjjvukJnUhoYGbrrpJn71q1/9nyUMFhtJrVixgo6ODubn5+NYzcWSILGZWq3WuFpk0ddZDMa8vDx5GJibm5MZVYvFwtTUFBMTE2RlZS1pdfSvBNGOSRjgJML8/DxHjx6Nm7yJZHgKheKMbNritjqvvPIKb3rTm4AoMxybAfzZz37G9ddfz6FDh/j1r3+95LVuvPFGfvKTnwAsyYgvxnJu9ABvfetbZa/zWHzhC19gu3I7e+/ei4L/XoXOD3/4QyC6CYla2bO1KBKGoH/961+x2WxxZoVPPvkkP/3pT/H7/XR1dUljx9j7H9slIRaivlgcbEpKShgfH5cHUTFf/va3v1FTUyMPKpmZmdhsNlJSUqiuriYQCDA6OpqQ+BC+GB6PRwbTFRUVBIPBuMDpXHHppZdy/PhxHnzwQW688UaAJaqlxWTW2TpadHR08Mgjj8T5VywsLMSVPcUy7SIr++///u+85S1vYfXq1ZLQXK7/ciKILLB4XVFXuhh6vT7O+VfgbLWgWq2Wuro6HnnkEXmIWgwx7xLhoosukj/ff//90regtbVVBnOxJrSxGZeMjIy4x2LvweK1xmQyEYlE8Pl8cSoQhUJBUlISSUlJcQTV+vXrmZmZQaPRyCC5paWFqqoq2TJOGD4J8mhhYYHu7m5peOdyuRgZGZFZEqVSycDAgOxFrtfrmZmZkd4eWq0WvV4v54QI8gRJtth8bnE9qd/vp6ysjKysLJxOJ263m46ODtLT0+V7JCUlxZlpCojxtmrVKpkNt1qtcj9MNOfh3HxnqqurSUpKwmKxyLHb1dUla5kNBoN8HREQCL8FIRON3SdEtnBxwNfQ0BBHDMeSCWazGZPJxAUXXMCOHTu47LLL4v5WqVSSlpYmpf0rV648496k1WrZtm2bXAcSqRHC4TDJycls2rRJnhHEuWDnzp2yJlh0qRCu9YA0bhQBr2h1KFpVmkwmmpubpcIEoqTfxMQEpaWlrF+/HrVaLYOcTZs2yUBX1PonJSVRX18vO1cIGe7atWsZGBigoKBAElqDg4PSVwSQ7vqhUCgucM3IyGBiYiJufVQoFGzdulUa6sVCeKBUVFQwMzPD9PS0JDuFSmR4eJht27bFEVNi/qhUKum8n56ejsvlIi0tDa1WK7OZiSC8H+Lu1yKFgfAwgKh6MEiQ+++/XyrCjEajDM7dbjeXXHIJEF1LRUZxfHycxsZGcnNzycvLi/sOP67/MZ45D0/kP8FLL70kPRmmpqZwOByYzWbS0tIkuRirUFi7di0WiwWXyyXn19jYGH6/X5KWs7Oz0htABLFCFSKQlZWFw+GQLu6rVq1CoVDIlp6CkF25cqXMEldWVspOD1VVVVI1YDAYZFcLEWBqNBo6OztJT0+XcvWxsTGGh4epqamhoqJCtv0V/xdtF0+dOiXn5fT0NAMDAwQCAfr6+ti6datUF01OTuL3+5d0ThIQCgfhLSLIYkFUzM3NYTabpaLGarXidDplK+Ljx4+zdetWqexQKpVotVpOnDjByZMnKS8vx2azkZ2dTWZmJsPDw4yOjvLxj39cfgav14vFYsHj8TA8PIzJZJKqC0AG0UajUcYXokRT+OOIuS9a0YoafzHeh4eH8Xg8tLe343A45FoqrstiUrO9vZ26ujpphA2n/QXC4TCnTp2itLRU7qv19fVxqgcxHkSic3p6GpVKRU5ODgMDA1Lxk5mZyerVq7HZbOj1elJSUhgZGcHtdks/FrvdLlsCDw8Py/FTWVkp/YAEFhOlQhErSjW3b9+Oy+Vifn6elJQUTCYT3d3dnDp1irKysjj1dktLC3l5eZSXl0uD0EAgQHZ2dlypYyzhWlZWJruhiTal8/PzsuRNEFJCqSD2UHFeEGuX3W4nLy8Pg8HA1NRUwtbpZ8LrThhMTU3JthuxeOWVVwD42Mc+Jn/3wQ9+kJtuuinuAPt/HbG1e6K3eWyfX8GKxpIEAl6vV9aoQPSgFbuBicE1MzMjD2s6ne68XDLPFWJin69fQSIkJSUlrOGOhcFgwGKxLGnhcr646667+NrXvib/fcEFF0j3Zo1Gw+WXX86TTz4JnA54l5NVXXbZZTJwSXSNL774Yl544QV+9KMfycN1IgiPhsWoqKhA1fX3bA3//f1sIerCK5jRc+3x6na7lyhPxDgPBAKSsIHoYrtv3z4+8IEPnNF888c//rH8WUjXenp65DoEp83/0tLSJDMu3P7FpjA2Nsbc3FycHwacJngcDgdOp5OKigoee+wxyWCLeuFzxdjYGAMDAwkD3YceeoiPf/zjUr2VCMnJyVxxxRXs27ePhx9+mAsuuID3ve99HD16lG984xv88Ic/JD09Xda7C3zqU5+itbWVP/7xj3HBSldXF0888QQA3/zmN8/ruyxGomsRCoWYmZk5Z6JStD8U0Ov1fPrTn0743AsvvJANGzbw0n+8hHvKzTt+9o5lX/etb30rn/3sZ9mxYwf3338/Ho9HZtgFFhNTsV1jYgmD2PpUAYVCIb0wEkE4dQtztPT0dA4cOEBHRwdbtmyRB82srCzC4TAKhYJdu3aRmZnJmjVrpKxeBPMKhUIatxmNRumDE0vCWCwWSkpK5PPPhwxajNjMeXJyMjqdTvrJQDTANplMCc1ul1OhxfpZeL3euFaS54rF8lQg7nVi62rFvWlsbGR+fj7hvRIk8WKy4mzqPJFdO3bs2BLCQMDv9+N2u6W52tkgiNjFh3Hxu/b29rigHk6rD2OJaaVSidlsJisrS7ZfTkpKWnJ20+v1UtItukQIiPagcHqPW7NmDSMjI3H3XJizWq1W+R2Fc72QntfW1mK32zl27JjcO0KhEAcOHJAlIrOzs2zatIlDhw5htVplKUFWVlbCMdbZ2YnJZJKZtOPHj0tTU9FP3W63y6AlIyMDi8XC2NiYrFeOhWiFVl5eLq/Thg0bzqkkTATksRAeBmqdmlAgtIQwcOPm+eefl4RBrNqgsrJSvq8oESopKWFiYoKhoSHZAnJ6epr5+fnoz53RAOHwxGEee+wxbr75ZlnKCtESm5KSEgwGgzQENZvNch6L9nvie9TX1xOJRAgEAhw8eFCWxM7Pz6PT6WSAEzsWMzIypDpMeD9EIhHWrFlDUlKS7KoRG4yL84DFYqGuro5gMIjD4WDXrl2yBS9Ex6AIjIVypKOjQ7ZvHRoawmAwyDLe2HNHT08PNTU1pKWloVAoCAQCnDhxgr6+PmmYLBSeAwMDUkERS16JwLevrw+Hw0FhYaGcOxAt05ibm5Mq4JmZGTo6OsjPz5deMykpKbI8y+PxxLUNFp4pQh0liOiysjIKCwvjFBt2u12eK0U5lkajkfu/z+djfHyc8fFx6ROmVCrjPGFES0tBUomSSNGKura2FoPBwMTEBNPT07S2tko5PERVI6IVZjgcpqWlRSqK9Hq9NAkVHdTsdjtWq5Wuri5qamrweDzYbDZpjrh79265lvl8Ptm+UKilAFl6DcgSQLvdTmZmJsXFxYyOjmKz2eRzOjo6lqylOTk52Gw20tPTWblypRzjHo9HKsYE2d7Z2cnJkydlVwixJwaDQfr7+6VhaizZ7vV6pTpcGGuPj4+TlpaGWq2WxGVRURHT09MMDQ1Jj5Hh4WHy8/OZnp6WSpfJyUk0Go1scS1Mj4XH07p162hpaZFlcmLOCQ+Xc40BX3fCwOVyLVlkxeQqLCyMOyAajUYsFsuSlmf/l5AoEBS9nMWAFoc6EYTn5eXJDW5mZkbWB1osFukCLiR5LS0t0nBDHCpjr7eQEP4jvte51sW8HlCr1Wfty3ouuOuuu7jrrrsSPqZSqfiv//ovLr30UikhguUJg9jvn+ga19TU8MILL7B69eplmWohdU2Eq666il1fjGbh1Iumsqg7/WfjkUce4cMf/jAej2dZV9pEWE4tsNgb4JprrpE/x3ZhWIxEwWR2dnack74w0iotLZX3UGS/IBokPPbYY/z85z+XmUmBtWvXMjc3R1tbm3z+ddddB0SVC4m+j06n44ILLuCtb30rL7/8Mn/605/kY+Kglgjf+ta3Ev7e4XCwefNmfve737GwsMAvf/lLAL7+9a/HmVUlJSUtS94IYmVxdjwUCsn3FYRBOBxmbm4Oq9XKK6+8QlNTEyqVis985jN89atfJSUlJW4uiINLIsXF1772Nb785S/LlkZn2rCefvpp3vnOd9Le3i7JKFEukgjiu+75VtT89UyEwfPPP09nZ6ecz5OTkxQWFsYF/4vv5WKSVkD8zWKTpjOtg9XV1ajVanbt2oVOp5MkmFKplG3ixHuqVCo5H7Kzs5cErykpKTIQ7uvrY2pqCo/Hk7BdVH5+/j+kB/vExAQej0c6X59vaU4slvM0+UdBtGRMhHNtj7oYIrA6k6fG6tWrEwb/y0E8N5HCQMyjxaVWer1+WfJ+xYoV8meRAZ+enpa166mpqTI4XrwfJVrjU1JSlozN2tpaAoEAnZ2dOJ1OmbFbbOgmEiaiw4Db7aalpQW9Xs/atWvlPiqSUtnZ2ezZs4eVK1cmvHf5+fmYTCYsFguRSASLxUJ/fz8FBQUcO3ZMkjUi6wbRvXpgYACVSrVEFaPRaKTzeKx/y9kgjPMWEwbhYBilWolapyboDRLyhqQBoobod401SYwlX2PXdIvFIr/j+vXrUSgUjI6OMjU1JYPGHTt2yOerUfPCLS9w+YWXU1oTbWOcn5+P3W6XtebCvDMWXq+XkydPym4JseaIQsot/j08PIzf75fdEgSEP0psuZ3orATRfXJ6eprh4WGZiRXeCYFAQK5fQmIuFDIlJSVyzRCJo66uLrkmDgwM4Ha76e/vZ/369Wg0GtxuN4cPH6a+vl7eH9GdYWJigtraWvl5Z2dnJXFQVFQk/SiEF4moLxfZ3unpaaxWa5zRXlVVFSUlJeh0Otra2tDr9TQ0NGA0GuO6BVitVjnPRTtRcZ0SlfWOjY0xPj6O0WiU+674e+EpIlSWoj27IG4AWd4yPDzMqlWrWLlyJUlJSdLrY2ZmRrZazMnJkfuvIACzs7Nlu96uri7y8vKYnJzEYDBgNBrp6urC5/NRV1fH0NAQDodDlpZlZ2fjdrsZGBigoqKCvr4+0tLSGB8flxnwFStW4HQ6ZWlKa2urVD44nU55T0KhEBkZGcueD/R6vVSLibIpp9NJZWUlKSkpkridmZmRSgeHwyF9Merr69Hr9bLUT6lUyvtbUVHByMgIBw4cID8/H6PRKBXjfX19kjBobGyUfjXCTyUtLY21a9fidDrlmjQxMUFRUZFsjyzmiNfrxWq1UlhYyNGjR1m1ahWVlZVSkSfIOOGLI8aHy+WiqKhIkguiXOF88LpHdFarlampKebm5mTN91//+leAhLWmwWDwNWeF/ycjEAjEtX8TEqPk5GS5+Ys6YoGRkRFyc3MxGAwolUq5iTqdTikHFZNJuNIKWCwWSktL6evro6ysTNZUvd4QHgv/GyAOX8LtdrFU/POf/zwdHR2yZksgliSIzUR1d3czNzcX1/lAZLAWI7b+azH0ev3pNkwxCoNTp05J5vGfjbm5Oaqqqvj4xz9+Tu0El4NQHZ2L54Vg9c+ERMaGd999N8ePH5dZZYiqDrRarcx0iFaQdrudK664gqeeeor77ruPzMxMbrnlFqamppaMdbPZnDBA2Lt3rwwIb7nllrPeH0EKCjJpsbT2pZdeYt++fUsUABqNRkpV4dyVHrFINB7FoWXfvn28+c1vlmqIBx54gAceeIBvfetb3HHHHdIpWzj2x16LUCiEzWaTmYrs7Gzy8/OpqqriL3/5S8KMrZgDo6OjkjBY7HsQi7MZHi6G6EcOyJ7rjz32GBA1rEqkkNiyZQt79uzhve99LxUVFbzlLW/B6/Vis9koKCjgj3/8I1dcccVZ3zuWMBbj7kyqLGFYezZ/kNLSUnQ63bJr+8DAAMPDw3GGd68HUlJSyM3NfV1ec2Jigvn5+bP20f5n4NWS3+L+nql8SKVSndf1EkFZIlJSdPQ4H7I2EcrKypY1PHs1EO0wrVbrGa/lhg0bpLmqKKVoamqiubmZkZERSarGGl5mZGTQ3t4u1TixSEtLY35+nkgkQjgclvJkOF0Ss3r16rh9W7R+TeRZpFAozlvxIiTBwWBQvvd09zTPfPQZCrcVotQo0eg1BD1BAp4A+jQ9rgkXSUTNQb/0pS+xd+9enn32WSwWi1TPLN4PILpu9/b2UlVVRVVVFQaDgcLCQpRKJdXl1XyAaNlfFVWsZz07v7uT0kdKKS8vj2sdKCDk4OI9DQYDmzdvXjJeNRoN69evp6enh9TUVDIyMsjOzqa1tXVJi+SJiYll3fEFRAtFiKpT8vPzZUAoIEw3R0ZG4gJz0RkmOzs7jvjNyMiQpUbXXnstjzzyCMPDw5J0qKqqkqSTII+mp6cpLS3lxIkTOBwOmVUW/kcieBXtQIVBnvB3SdRBR6zJYpwvt5YbDAamp6dxu91nXe/HxsZwu92YTCZJKiclJdHY2IhGo5HGfoAkDIQ7fnZ2NlqtVrYon5ubIxAIkJGRIduDmkwm2Q5WmGEajca4M64wyhTlAqmpqahUqrhuNePj46xevZqhoSF6e3vp7e1l8+bNkuCamJggGAxKoiA9PZ3s7GxZehg7/1JSUmQrwoyMDPLy8mQgLMZQXV0dTqcTl8slDTAFqqurpYmhw+GQnhBer5eOjg5KSkpQqVQcO3ZMKjoMBgMajYZTp07JRIjZbMZqtcryE2E0Oz09zZo1a2Rpx9TUlPRdER2eCgsLOXXqFNu3b8doNNLR0SGN6Ldu3SoNdIuLizlw4AApKSmSZBXkY1tbm1xXVq5cGWcce/z48TiPPDEm5+fnycnJkcba54rXtqskQENDA4A0OAmHwzz88MMoFIo4aTFED+cLCwuv2j3/fwNEr2EBl8slGanFWYJYiJucm5srF1a1Wo3ZbJaHBbPZzKpVq5ZITgsKCti2bRt5eXn09vaedx3L/zWI67mcGVVtbS0tLS0y2FmclYBoXb1AeXk569at48477+QrX/kKGzduTOhhcC4mhIkIg3Op8T1frFu3Lo60iv15MZ5++mn+67/+65xfO5G6YrET83JQKBRxm8CZsJhUEK3UYjPgotWbUqnkne98p8wWvPzyy+zfv5+vfe1r3HPPPdx+++3cddddvOc971nyWUtKSpZkDB9//PEzllAkwsjISBxh8sEPfjDh93nggQfifq/RaF7zQT+2dGwxxGYkvBYERAbr+uuvp6CgQB5cvvjFL8pa5W9+85sUFxfHGWLZbDZefvnlJS7bArEtws4FiYLkycnJOEVHLObm5uTnEZ/5e9/7HhD1lkgUmGm1Wt773veSmpoqM1g+n0/WgsaaVZ0Ltm3bJhVSMzMzcfWTsRBr+eLOEomQm5u7rB9EYWEhK1eufF3JAoiuPa9XgD83NydJp/+pEHvG2QjN88GZ1AjhcJju7u4lwWQkEqG5uXlJ69jl8Fo7vCzG9PQ0Wq2WFStWnLGNtgjoReAfiUSkz9LQ0NCSLhzCbb24uDghATs2NkZHRweRSASPx8PY2JgMvrZu3cr27dvjMuWANDt8ve5ZrFu5ICEGXhlgaPcQbb9sQ5WkQq1XE/QECXqDGNKjwepjP3tMzvfnnntOGs+J+59IuaVQKGTbRaFCEpliYo4YFqKfwzMf/WVWVhYej4d9+/bF7R19fX1xSkWFQiED0MXQaDRUV1eTnZ0tTai3bdu25DySqLXdYiQlJWEymTh58iRDQ0P09/cvCW6EyqS2tjbuNR0OBw6HA5fLFeelJmrUd+/ezTPPPMPDDz9MTk4ONTU1lJSUxJUDFRYWkp6eLhUIYj74fD55vtu9e7dUN4hgXGTUxWc9EznW0NAQV962GFqtlurq6nMypauursZkMsUpBYWpYVxXjr8bKwJSaSy64uzdu1eOfbGGiO4rwWCQ4eFhmVW3WCwJVbOiw8rU1BQqlYqpqSkqKipoaGggNTVVkgHiM6jVaunLIMoLxDXJzs6mpqYmrmVyJBKhs7OTwsJCCgsLMZvNFBQUyFJriBIFTU1NNDQ0yO5GomRBrVZTU1PDhg0bZKeY5ORkbDYbvb29nDhxQhp+CjPfwsJC6uvr8fv99Pf3k5aWRnl5OY2NjZhMJhwOB/39/ezevZuFhQVycnIoKirC7XazZ88eFhYWpFGnaNPZ0tLC3NycJOK6uroYHByUc1qUeR06dEiWTxiNRux2Ox6Ph/HxcU6cOMGKFSuk8hOi5xdBqgpCobe3l4yMDFJSUmSZUXV1NUql8pz3A3l/z+vZ54DrrruOSCTC5z//eS699FI2bNjAvn37MJlMSwIgIaGIbb33fw2LNzkhSYF4s62mpiZJrOTl5ckNTtRsQfQgEZsZFMaHixf3zs5Odu3ahc1mk06vb2B5iOt3LkycCCxj8YUvfCGu1lcgOTmZL33pSyiVSpmBis1ebNmy5azvJwgDNWppHHquhIEwyLnggguWfU52djb79+/n0KFDcaRH7M+LIXpw/zMgfDrOlrGA5TPPYs78/Oc/54EHHpDzLDbAFF1fYj0GxGK7uGxCeFvEIlEAf+rUKU6ePLmsfC62nzkszSguV8bxehAGsfjb3/7GHXfccdb39fv9jI2NydIIgebmZrKysujr65Pu1onGiOh9LXDppZfy/ve/X86Ncymdevjhh/nFL36x5PcZGRlL5M+JsPhearVaZmdnlxB6Pp9PEhji/xMTE3JenG+ZV2zP8ba2tjgj3MXvK/7vdDqXXOtzhVqtPqsR6383qqqqXhcPnP9OCHXK+ZQcnA3LzT8BUYoSC9Hh5dV2KXqtCAaDpKWlnXVenDhxgr1798atXx0dHajVatasWZOw7NDtdrNz504UCsWSdpqzs7NkZWWhUCikT4IIwoU/1J///Gd5FoUoabFx48azZnXPFX/84x/lzyKgc09H9xzHkIMkYxIavYaAJ0DQc5owyMvIiztzzM/P43a7ZRB66623LiEODQYDGzZsSOiFkaI5fS7IIVpq4HOe3hNFi7XYM2RDQ0OcVP580dPTsyQoOZfzifCugKjaZWJiImHpcktLCwcOHKC5uVmu3ampqWzYsIHS0tIlc6Wvr0+uoULaLQLgEydOxBFtNTU18mxmNpupra3FarXK9b68vJySkhKqqqqWXO++vj6am5uXVY6eC+bm5s65rNRkMklpuoDL5eLgwYNxn2Fubk4mIsVcFK00tVotExMTFBcXYzAYZE19bFLRZrNJUrK5uTkhsdjR0UFHRwcjIyOMjo6SlpYms/01NTWMjo4yPz9PWVkZKSkpuFwuXC4XOp1OBttNTU2ydebk5CQ6nY6mpibZYaigoEB2zxLdGWLnazgcpqenB6fTKRPToo2waPnY3d2N3W6nvLwclUoVtzYZDAbUajWTk5OUlJRw4sQJjh8/ztDQkCwlEYSOgFBECRWJUJ62t7fLjglVVVWSMD127JhsVSu8pdLS0rBareh0Opqbm/H7/dhsNnbv3i0TU3a7Hb1eLwmBuro6eWadnp6WrRpXrVrFpk2byM/Pl2UwQoVx6tQpRkdHKSsrO68x+rqXJFxzzTU8//zzPProo9KkS6fT8ZOf/GSJxOuJJ55IqDz4vwQhcxeHYuFS29fXtyTQF5vDyMiIbP8Ri+Tk5Li6z/n5eY4dOxa3Sca+jlarJScn55yMlv4v48orr+Tee+89J4n/m9/8ZvmzOJCXlJScdZO89957KSgo4Jvf/CZdXV2cOHGCK6+88qzvF6swuP322/nJT35yxgxOLASLeabnZ2dnLzH8E7jsssv4y1/+suT3scFlIrzrXe/iD3/4wzl9xrNBjF2LxXJWVUIiCSfAgw8+yFe+8hU++tGPAqeNfc4GIX27+OKL42SXsaUmi58bC1E7fD5qilgsFzgkev/XgsXr83LjMhAIxLW3XIxNmzZx9dVXAyRUNV100UX09fXJPsaLS1oikYisZ04Er9ebkNQTtfpnUmwJiBZNAmKcvvvd744b69PT0zJ7Jd7zy1/+snxcHOoPHTrEU089xbe//e0zvm9bWxtms5nVq1ezYcOGZckt4bGh1Wq5+eabeeCBB9i+ffuS7gVv4F8DQuHxgx/8gO9///uvy2ueiXxQKpVs3Lgx4Tw433rV1xPFxcV4PJ6z+mbEBjQQXfM2btwo25AlQm9vL7/97W+BqKIg9pwpWpuK90xk8Pn2t78deHWlW+eC2HbB4rPN206XOSWZkqTCwDvnJa0y+hn9C34GBwfl86ampsjKypLX4dChQ3z2s5+Ne31Yfj/XRk6PCUkY2E+vM2azWRoFCryW0pZwOMzIyMirMlUVY6C0tJTs7GxMJlPCTLtWq5VEghjzKpVKXoMjR47I59bX1xMIBOQ5QJjsdXV1UVJSQmpqqiQDIpEIx44dIz8/nxUrVqBWq1EqlZw8eRKVSsXKlSsTKkkFxGd9LSoVi8UiO0icC4aHh+POGaFQiIqKirjrJsoRIEoYiG4QOp2O9PR0+XmFoa7L5aKmpkYG1EajkUgkwujoKFqtNiEBGIlEKCsrw+VyxZVWCx+empoawuEw8/PzGAwGiouLZSlCLDo6OmRwXFpaKrsfCOTm5tLT04PH41lS9tLT08PY2Bipqanyfk9MTEhPjvT0dOmhJzqqCPh8PunHYDQaGR8fl0SkUJIIfwXhU2A0GtHpdMzPz9PW1sbw8DCFhYWsXbuWtrY23G63vFYNDQ0cPnwYr9fL/Pw8c3NzKJVKtm3bxuzsLBMTEzgcDtRqNXq9noyMDPr6+sjIyMBoNDIyMoLZbCYcDnP8+HGKi4uprKyUcV1GRgbDw8MEAgGZeBCeNEJNotfriUQi56RUjMXrrjCAqPHZrl27+Pa3v82DDz7IiRMnuPbaa+Oe4/f7MZvNfOhDH1rWPfj/AoQ7sUBdXR1KpZKSkpK43zc3N8dNzkTBwsLCAv39/XLSp6SkUFxcvCT7unr1alatWkVmZiZut/uMLf3eAHz7299OGPCdDatWraKlpYWPfOQjAAlVBgK5ubl8+9vfRqlUsmLFCt7znvec02YdqzBYrpvCgQMH8Pl8S+q+xeufKTufSFInNrDlzPjOhliTrdcK8dkXH5oS4bOf/WzC33/961+P+56xh7Qz4YUXXpA/n60s4vLLL1/2sXNVhIhyL4HYbh7/ChB965fD5OTkGQ9Qvb290o34wQcfXPJ4IBBg/fr1y86j2CBJuI8DhHzRn890wBO44447ltQzAzz77LOS1F1YWKCvr2+JO3xsScVXv/pVPB4Pb3vb2+LaWi6HdevWydIGvV6fsH4aooc88X5i3V6cVT1fBINBvv3tb59XO9BAIMCzzz77mt73fyOE8kPgtZZ8PPvss9x8881ceeWVkkQ6m8JAp9OdNcjo6en5hwXIEPXpEW7oEB2jDz300FkPqFu3bqWpqSnu88eadyVC7LxefJZxuVzLGgr/M7Bv3z4OHTrENddcQ2VlpVRIOEdOjxGNURP1MPAG8cx4SM6LZkr9rnhTy8cff3xJzXsi8uixxx7jggsuWDJOtKHT61oafyclpk+/h06nk75WrwcUCgU5OTmvyrxUo9Gwfft2Dh8+jEajYe/evQk/18qVK1mzZg1bt26Va6bH46G5uZn+/v64UgWn04nFYpFEr8fjYXp6WnZNEF1CxGd3OByyK4UYf6tWrZKS+fHxcY4dO5bwHmRnZ9PU1PSa/NlEW9hzOQd6PJ4lJX1+v5/c3Ny4uRRLGIRCIWpqamhqaiIYDGKxWCgoKGBsbIxTp06hUqlob2/H6XSSmpqKyWRCoVCgVCppamqisbExIYlTV1dHfn4+5eXlsk1xLISZb1tbmzRAXdzVBaIEVmVlJWVlZZw8eVLW9x84cCBO9ZcoQ56RkcGKFStIS0ujrq6OhoYG2WkFomNdGMFDdJ3YvXs3bW1tLCwsYDQaMZlMDA8P09nZKe+nuPc2m012mejp6cHr9TI8PExbWxsWi4WysjKGhoaYnp5m48aN6HQ6WlpaOHbsGHv27KG8vJzy8nL5eg0NDUQiEY4fP87ExASDg4NUVVXhcrkYHx/HbDaTlJREdna2TChoNBp0Oh0DAwOyRHjLli2kpaUxOzvLqVOnZAmEx+MhKSmJQCBAZmam7Cg3NTV1Xv48/xDCQHzw22+/nRtuuCGhDC4pKYmf/vSn/PznPz/n1lr/G+Hz+eJMtXbv3k1PTw/9/f1xma7FjGaiwFD0lxYLjDA6WbzgmM1mubguLCy8rnLJ/41QKpWveuFfu3atXJT+9re/ndHZ/9UgVmGQqJUYRI2kkpKSpFz6qquu4siRI/K+v/3tb+fyyy8nOTmZf/u3f4v728WHysnJSbnpvFr2/Ey9qs8X4jtv3LiR73znO3H1bovx+OOPv27ve744Uwb4XIMKIec/H/wzJcizs7NnVY786Ec/OuvrvPWtb01IRp1pnYo1VgIIek4floXsVpg7nSsuvPDCOHVNa2sr8/PzdHd34/f7pWP8cjJr0TFAoL29HYVCwfHjx3E4HLJWEqJKmTMd1O12O+3t7TK709vbK9ckp9PJwMDAkvbEwWDwjGZ7Ai0tLXz+859ftszIbrcvqR2/7777uOyyy6QPyBuIoqmpKY4AjN3DX816edlll/HAAw/whz/8gd/85jfAay9v6Ovro6KigkceeeQ1vc6ZUFlZGddZYn5+ns997nO85S1ved3fK9bNf7FEWrj0/3dh8+bNhEIhNm3aRGdnpyS44xQGxqjCIOAJ4Jn1oLfq0Rg1+BfiCQMh7Y9dUxKRRzfeeCPNzc0ysyrc70POKHEaUJweP2HH6+etsRgKhYL8/PwlZ9VzUXopFArGx8fleenZZ59NqLoSXgk+n0++rvi/aCsr0N/fz+zsrAwwvV4vFRUV1NfXU1VVxfve9z4uvvhi+fympqYlXSLMZrMMkjs7O5f1uggEAq+raejZoFarKS4ujjtLJOqiEusdFOtv4PF4OHHiBF6vl6SkJGZmZpiYmKCiogK/38/8/DzNzc2SfAuHw7jd7oT30u12c/LkSUZHRzlw4MCy1wc4oz9Dfn4+OTk56HQ6MjIyqKiowG63y5aERUVFS8owBFJTU2X5j81mk+fd2O/b3NzM0NAQc3NztLS0yFbPJ06ckCaSRqORNWvWUFlZyejoKM3NzahUKhobG9m0aRN1dXWUlpZit9slYZOamirHzcDAAPv376e+vj7uDChMHLOzs6mvr8dut9PW1obJZMJqtdLY2CjLP4xGo/Qb2r9/P52dndITYXHybc+ePfj9ftLT01mzZo0c/8LAUfhH+Hw+1Go1KSkp56Ui+ocRBm/g3LD4kGg0GiWDHDv5MzIyGBgYwGAwLCsR12g0511399+5mf5fQ1paWkLG9bVABEbXX3f9WWuSBeF09913s2bNGrmhmEwm/vSnPzE/Py/bDor6/cUkREZGhpTZnk/27JZbbpE/f+QjH3ndAg1hrqhQKLj99tv/Jeuyv/vd757zc9/61rcu+9i5eFosxm233sYa1mAlsfnd+XwWK1YMRDf4WJNNgZGREcyYUb7GbeWvf/1rQpXHRRddhILEmdPFhpKx2bnYg/f5dFB4+eWXpfkhREsqYg0txWFnuWxubLASDofZsyfa5vHgwYNcdNFFVFZWcv/99yfswiCM2gQ2bNhATU0Nt99+OxUVFZSXl0vCYHZ2lpKSErm2hEIhrrnmGioqKs5anvTKK6/ILkZHjx5l165dbNu2jVdeeUU+Z/v27Ut8ThwTDpQosdls51xSA9GD4uc+97klgd38/DzT09Pcd99953XI/mcdyBcjFArx4x//eMl4WlzOFPu4y+Ui4A3IMRGJRJifmueuW+6i9UgrO3bskN/nueeeIzU1lWSS+SAfpJxy6Y0iDpviebGf6VxICUH4ns8a/MwzzzA2Osav/+vXca1tzxUiQSHaJi6H5ubmJeTU2SDktzp0jJ+MKhg6Ozv59a9/TWZmJnV1def9eV9vxMryI5EI053TmHKi81dj1KBL1bEwvoB3zos+TU+SMYmA63Rg/4lPfIJf//rXKBSKuJKzRAGb2JcFsfDQQw9RWFiI2q1mnnlcRJVECywQcUb+oXOopaWFJ554gq9+9avyd+dKeLW1tUn/B41GkzAAhqh65dChQ9LDwGQy0djQSHpaetzapNFoWFhYkEGzx+PB5/PxkY98hC996UscOHCAF1988Zy/2+bNm9m6dWtCEnpsbIzW1tazqoFeL2g0GiwWS1w8IRR/9957r/zdYoWBgNFolEqLtLQ0srKyCAaDaDQaZmdnl1x7oZxJpEo7ceIEdrsdt9u9rOpQq9WycePGM5arzM7OSm+SlStXYjKZKCgoYOvWrWRmZsrvnKikemZmhubmZpxOJwsLCyiVSlatWiXJfUEahcNhdDodJSUlNDY2ygB7cHCQmZkZpqam0Ov17Ny5UxL8AwMDhEIhIpEIVquVnJwcVqxYwfr161m3bp00jRTfLRAI0NHRQWFhIVu2bJGqgp6eHvbu3QtEx4vRaJRt7gXhJO5ZT0+P7EwxPz9Pfn4+ZWVlDA4OUldXF6e6HBgYoKamhpSUFAoKCmTLSI/HQ0VFBcnJyczMzDA7O4tarV52XiXC6+5h8AbOD2q1mvLycnp6eli/fj0Gg0Eu4IsnWmFhIeFwmFOnTlFdXb3ErDAUCuF2u8+rv/aaNWteNwnaG/jnQciIhMIgEjz7pn/rrbeybt06yUqKw2zsOBKtdUR24kwZ6traWp588klWrlx5xnILiNbw3nfffUB0XL8eh7iNGzf+y6uTzvUw1tXVRWZmJmazmQcffJD29nYOHz4sg0w4e79vAwY2s5lBBkknnX3sQ3NQwxVE2/s104wTJ4c5jAIFpZQywAAPPvwg919/Pw004MePFSsHOchF2y6i87lO+unHhIlP8SlUqJhlllRSmWKKQxxigAGmmaaYYj7IBznEIZ7jOSqoIG9VHkPHhlCgwIOHYaI9kC/iIjaykRZaeJEXqaGGaqpJJpm97GWEEZw42cIW8sijmWayyOJyLqeddvawhzzyWMMaXuTFJWtYwH36UBpLGKSmpmKaNVFAAYc5TIgQQYJkZWWRPBElW/vpZzWrKaAAd99puaMOHfMz8zKTfzYDt+bmZnlgfPSBR3ns8WirxhtuuEE+55ZbbmFgYIBbb72VAwcOSI8HgB//+MfceOONNDY2SpPIWPJJEBbC/VtgbGyMJ598Uv57dnaWO+64g/vvv599+/axdetWNBoN/f390nOlllrSSOPC7RdSSilPXv0kad9PY8fwDmm8ddNNN/Gd73yH6aPTqH+g5iZuYvcLu7n2bddy/433c/ENF2PMM2LKMMmsRTgUZuL4BJk1mYQVYXKTcnk7b+f749/ny49/WX7G2P70t95665J5E/AEOPZfx6h4WwXmAjNDR4eYbJvk89d9npUbVvIfP/4PrDVWfvOb33DZxssw55tJMp2uR97znT14Z71c8OULUOvU9P81ej1L3lzCVN8Ug+2DrH1bVA020TZB26/ayKjOwJ3vZuChAYrXF7P+M+v50Y9/xKaUTfzyhl+iDCq574H7SFYlozFqSMlP4WquRomSByofQKFUYLzQiAIFhRTyxIeewPacjUnvJA0bG/A7/Uy1T6FEyVP3P4USJb1lvWz5/BbedsPbKKGEJpoopJBUUvlR6Efcc889/Pu//zsmTGSSybsvfTeHnjqEd9bLTV++iQxVBv9523+iNWs5MnWE++64j+/e/l2mB6bR1et484ffzHznPJvZjGpQxfToNIPjgzQ0NOAcdXL8l8fp+lMXH+JDmDDxk9U/IX9TPj/5yU/YrdmNNqBlnHEGPz1IwBVgom2Cmqtq6H2hl6lTU6y+bjWqJBW11NJJJ8N7hwl6g5jrzCyH3//+92zevJns7GxycnKoqqri//2//yf9UPr6+tixYwef+cxnEv79/Pw8C84FruEaeu7owfN+D29605sYGxvjqnddBQrkSTfoC6JUKVGqlXhmPYwcHGElK5liip7neyjcWkgoHMI56CSjJgOFQsFMzwwzPTMUbClg5MAIoy2jbPjMBhQKBe5pN11/6qL7eDe5JbmUN5VjLjSTnJvMVOcUG4gan6k6VRz68SEMaQY6n+nEv+Cn/oP1tPy4BYVSQUpeCo7BaICQVpmGMdPI3MAct150KyaziRR/Cu/hPbhw0Usvo4ySQQamMRMnnjiBudBMxsoM7B121gTXMMssp546xZR1iradbaSSShFFTDONPhIlEbvooiHUwEz3DGmVaQQ8Afpe6iM5JxljppGOP3aQtzGPzJpMvA4vQU8Qx7ADpUpJJBzBOeaM1qUnqSjaXkTIH2LeNk9yVTLHDx1H16tjYXSBe+6+B4B38k6UKPnV1b/CpDGRsy6H5Jzo3AkHw8x0R70IrOVWvHNeXv7xy9ScqKGWWopdxRz69iFGDo6gs+jIrMsktSSVhfEFtJlaxtvGCegDHJk8gr3DzmDzIDqLjtqvnj6XrK1dy3T/NOFQlFQTRnO//vWvlx2bZ4JarV52Ty4oKMBqtZ63+S1E96vhfcNkrMxg3jbPZNskfpef3HW5ZK/KRmPQYDtgo/237QzuHMSUbeKS+y7h+L7j6Fp1XMIlDDGELWgjTJiX73qZda51GDONTOyZ4BLlJWSEMxh/cpxf/uyXpJanolQrmR2dxZBuIPmGZIoqitAb9dhsNiorK7FarXEGtOnp6Wi12oQKgaKiIlQqFeFwmGAwmPAanYvZuugOoFQq6enpwWQynXNHPeGRlJSUhNlsXvJeaWlpcd9HlM1kZWUxNzdHTU2NLFERbQ6LiorIz89namqK/fv3yz2qqqqK7OxsDAYDfX19eL1eZmdnKSwspLa2FqfTyZEjR2TJZXFxMRaLhdbWVmlgr1arycnJQalUcvjwYUKhECtWrMBut6NWq8nPz8doNFJcXExHR4dUP8zOzqLVamViz2QyxSm7hoaG4rrwLSwsyNbnizv0nQsUkf8uiv4NUFNTg9frjZMGrlq1iomJCfx+/5KgamZmRtYFbtq0ackheWZmhqGhIerr689ZZrJnzx4KCwvfMM36H4Tjx4+TlpZGXl4eP6r5EVPtU6x8z0qu+m18F5LY1lSJcPvtt3PvvffS3NzM9u3blzy+a9cu1q9ff05dNBJtCt/73ve46aab8Hg8WCwWrr76an77298uS4hBNOh1Ew3S6qhjllkmmCBMmBDx2ZRt27YlbO94rmTZunXraGlpWfZxNWqCLJ8hSCGFeZZmhwUuuOACnv/z82j0GhTKxJ9peG80gC7YvHT+3XXXXXz77m+TSiohQqx9y1oatzTCEdj7zF5yyOEIR2ijjaqqKmo7a6ljKRGjqdTQ2tVKDdH2q0/zNGHCvIt34cdPwY0F2H5iQ0P84UZtVROcCWLHTgopJJHEEY6gRMkEE5RRRjlLy0vChLFjJ5OlJTI72EEFFVRSySij5HK6xnSCCUKEyCUXP35cuEglFS9etGgTqgtChKLlOHWZJOckU/f+OqzlVpKSk/hJfbSjxUf3fFRe3+7ubp5sepLg2On76sfP09qnucoXnT/ttLOSlQQJkl6azuG+w3jwUEIJ88zzOI9TQgnf/dZ3afpkE9oUbdyY28xmNGhop53NbGaUUd7KW5lllgd5kABRMqOMMtazns60To5OHyXXmsv6mfVMMMF+9vPJT36S2267TUouTX//b5yldeA11LCRjXzH9h3+9OKf+PJHvkyQICOM8KX3fYn+X/XTSy9ddPGxjI9x09M3cWz6GJ98+ydZzWrWEfU36aOPUkrxGX1oXVqcOHmCJ7iIi0gnneTaZAKnAihMCvwOPw6DA5fbRRnR/u0uXMxdMsf27dvZcvUWdt+2m74/96E2qrHUWDh08BAlREk+S7EFr8eL3WEn4o2wk50oULCBDWRnZmNJt6DMVaLKVGHfaSdgi143U64J56gTBQr8+FGjRomSeUPURT6bbFR6Fe/70/voebaHme4ZOp+Jeoyo9WoMRQbmO6LzNnt1NuOt0etZelEpKq2Krh1daEwagq6o8ZUCBShAl6vjpZGX2MpWOulkiikuXX8pFasrosHUkIP9O/eTTjqFawsxZZvo3tGNEyfJJOPRerAr7Sx4Fnjvde8lFAgxZZ7ivh/fhxUrAQLc/I6b6X2mFw8e9OiZZZbd7OZy5eX0hfv4Bb+gkEI+xIdQL5PvUSgV0TX278t+QB/AFXRhCViWzJuwIkwoEr35hnMAALleSURBVCIlLQW/008oHKL4omJ2PLcDHz4++N4PMnl8kpH2EaaYYpRR1rI2TkWkUEavjyHdgGvidMYxQkTOWZVWxW99v+U4x5kbmmP3t3YzvGeYjTdv5DPXf4bq1GpW6FaQVZfFJ174BFW5Vby08yUioQiXXXkZB08eJBQKRdvoPtOJa9LFXP8cRduL6N7Xza7v70Lr1IISsuuz+UPnH5j2THOF9gqIQNnFZYwMjuDuduMP+tHWawm2BlGGl56TxLXRWXQolAo8M0s9nvRp+uj18odQqBUsBBfQoUOFCkO6gat+exW/fNsv8bmjpHysIiu1NJW699dRe20tP1r5I7Z9YRu5a3N54l1PAHDH3B288sVXOPjAwbj3HGMMPXrZEjHhfQ+f+Th/IO8AgyODrGENT/M0tyXdhj5JjzHLiGfag3fu1SlOVUkqwqEwkVCEkClEaCGEVqVFqVIS8kf37XHG8eFDiZKaVTW4O90y4QGgS9VBBLxzXpRqJYHkAD2zPejRU0g0oFvxzhX45n3Y9tsIuAOotCrpUZNkSiKtMg2FRoFpm4n5vfNMtUzR4e9AgYJKTSXhQBjzGjPfOvotLtl6CZ+8+pN87OaPMcMMSpTMMcecd47BnYOkr0jHXGBmtn+WoDdIamkqHX/oAAXkrc+jf64fx6yDxoZGdGYdnhkPMz0zBDwBxo6M0fVMFyqtClWSCr/Tj94aJWpGD48S8oewFFkoflMxSclJHPnpEZyjTrRmLQFXIO66KJQKFEoF4WAYtU6N1qzFNeHCmGWk4tIKBv42wNzAHBCdc27cGDmddffjx5pjxT3lJhwM41a6GQ+PU6oqJasmi5A/FJ2rBgUL/Qt4Z71s/eNWLrziQo4dO4bFYqGoqEiql84WW5zpfHc+cLlcUjUlPkdBQQFtbW1UV1cvW4IL0VKdUCh0xhLEUCiEUqkkFApJs+XFEv8DBw6QkZFBaWkpoVAIr9cr27NaLBb6+vpkOUhPTw8QLaXIz8+XRABEzTc9Ho9MIOTm5lJYWChblHq9XiKRCKFQiMOHD5OSkoLJZGJ0dFQaIjqdTsbGxmRrxKqqKqmCUCiia35dXV1cK+W2tjZpClpSUkJ/fz/5+fkUFhYyMTFBb28vn/jEJ1CpVGdVf8EbhMF/K2pqanC73Tz66KNxv09NTcXj8SwpPZienpZyxO3bty+ZkOPj43R2drJt27ZzJgwOHjxIfn7+OfXGfQP/eri/7H5m+2apekcV7336vXGPnY0wuOWWW2TWsbGx8XX5PLFjcnJyMq5EIBQK4ff7pUza4/Fw9ZVXM/rcKE6cXMIlpBN18j7MYdYSNSdy4MCDh/ELxtn9t908cvcj7HHu4dpLriUnO4f0qnSU6tPj3WQy4XP5iBChggreyTv5Pb9nnHGSSeZiLmaQQX4x/AvyCqJlGrXUokBBJ51cyqUA1FPPC7yAAweDDPJu3s0UUzzP8xRSyEf5KE/zNKOM4sGzhDy4+aabKXiqgIrLKrji59Es/8H/d5DiC4rJrMmk/6/9PHZhNOt85a+upPe5Xt789TdjzDLyhw/+gU5lJ4d/fZhVRI2ywoRRlikhpuNehAg/5+fcUn4Lzp6lxpxp69NYdc8qmi5oIptstrOdaqKtgDTJGiIZEYJ90U0s7f1p/OSXP+HHz/2YgXsHGNgzQKunVRIEbbQxx1zc61dQwWY2U0IJs8zyHM9xLVGD263/sZW//OIv/NH2RzRouJiLSSONMGEOcIC/8lc+zadRoOA3/IZRRlGipJxyruRKdOj4Lb/lFKdopBEzZnaxCytW8shjkEG8ePlQxodYt3YdzjEnE8eistTKyyvp+nO05vcDz3+AgeYBDj5wkIYbGtj/vf0c5zgppFBM8emxq1KwEFrAiJHDHOaBnQ/w6PZH5eNevOiIJ8/q3l/HlY9fiUKhIIUU3s7bqaACgGmmpblYLDkSIkQ33azg9OEkQAAPHlKI1r//il+xjW0ssMBf+SsKFFzLtaSSyhPJT9Dh7KCQQoYZxoKF67gOM2ZsK20o2hXkER3XHXSwghW4cWPAEB1DKFlx5Qo+8PsPcCu3YsJEkCAttNBII6OMMveeOY49dYxLuXRJgDLCCE/yJFasXMd1APSU9HDrF2/loY8+JB3YRcD4Ii+SQQarWQ1AK63yZwA7dpw4JZHQSy+TTFKQV4B2RCvHzMyWGXR7dGhTtOyc38mobhSbN0p03XvLvbx030uECNFLL2/iTfLaA1RfWY3D4GDs6TFOOU8xzDAePFSqKukOdaNGzaXKS/EoPTQHm2mhhRVpK0ibTuMkJ0nRpHC19Wp0EzqGGOLn/JwIEb7//e9z6623cuLECUnwK1DwyiuvcOToEdQvqJl5boad7CT1ylRefOlF5ufncblcXHHFFbz00kssRimlVFJJBx0MMMDXv/511mrXsv9z+3mQB2mkkXzyeYInKKaYQQaZZppssrFjxx1247a7edvat3F0+KhclzLI4JUnXuGKa65ggAGsWCmiCA0aNAoNl779Ur78zJd55zXv5IknosFrb28vb3rTmxgZGiFMmAgRjBjRoydChOOdx2m+u5ktN20hb10ej3/icZ7927MMDQxxCZfQ8PEG1nx0DX/76t/o3dHLCCMUaArQmXVkrMxgcGe09GhEMcLbb3g7x39znOD839tJ/z0ADilCTEemyTflk9OQI/9Gn6bHMx0N5p2lTp7ve57rbriOPHse7X9oR42asivLKFhdQPefu2k+2MwEE1iwUEMNhzjEfvYTJCiJya9f93Ue/K8Hecvb38JFay9CoVCgMWjIWJXBMw8/w6XvvZQkfRLNX2mm8vJKDOkGpq3TXHLVJSSTTJ46j6siV6EKqfCl+Lh3/l4UKOg60kV+bT6eGQ/GTKPcJ0cOjZBRnYFCpeAPH/wDBVsK2HTbJtzTbvZ/fz+Vl1eSZEoi5A+Ruza6flixkk8+Y4zhxYtarybJk8Tv7vkd1lIrTZ9owmF30PxKM3/Z8Re6Xuzi0LFDTDNNanEqAwMDcqxde/G13LjtRnxOH2qdmtpranHb3Uy1T1FzdQ2dz3QSDoVJzklGqVFiKbYQCUcVrKYcE0TAM+Oh5cEWjBlGMmoyuP/m+2ntauWzv/gsV7z/CkryS5gYncDLaTLiG9/4Brd/9nYUCgUdhzvY27KXGz5zA+FgGL/LjzZFy+c//3lpGPuF93yBD37ig1ReFCVPw6EwIV8ItV7NA195gLdd+zaKS4tRaaLEzIMPPsinb/w0z/zHM/zim79Ai5bSS0rZ176PLfNbCDr+PsZUCiKh0+ejMGFSslNYGI8qLPVWfULCCMCYY8Q/7yfgCkQJk2BYEjYqrYryS8pRapSEfCE0Rg2+eR/hQJisVVloU7RMtU/R/3I/7mk31VdWU/LmErwOL2qdmuKmYqa7pknJTyF7TTYKpYKZ7hl6nu/BbXdTeXklBZsLUKqU+OZ9HH3kKCllKXzp0S+xf/9+avNqGTg0gBYtdoudkdkRwqEwH3vfx2jtauVo61Eee/QxPvChDzA6OkpycjJHjx6lorACZ7eTUdUoRSVFpKWl0dXVRVlZGW1tbSQnJ0fVSE4nk5OTFBQULElcDgwMMDg4yNatW1+T6WsgEMDn86HT6fB4PDKjfuLECdasWXNGs2jxt0ajMSFx4fP52L9/PxaLheLiYlpbWzGZTDQ0NHDkyBGMRiNZWVnYbDbZXnN2dpbjx4+j1WpZv349KpUKv99POBzG4XDQ0dFBVVUVFosFtVotyQKhtNBoNHR3d8uAv7GxkdnZWTIyMujs7CQQCEhT1HA4zKFDh0hLS8NkMqHVanE4HAwODkrVisViobS0lPb2dhYWFkhJScHhcJCVlSWJD6/Xy4EDB6QHw8LCgvT9KC4uZnBwkCuuuAKDwfAGYfCvjpqaGiKRCD/+8Y+BqBmcqNXy+XyUlZUt+ZtwOCydWxdPBJ/Ph8vlinP/PBsOHz5MXl7eOUt93sC/Fr6X/z2cI07KLinjA899IO6xO++8E41Gw1e+8pWEf/vJT36Sn/zkJxw+fHiJA/+rRey4c7vdy9ZQ+5w+/vyJP3PyyZNywx5gAGWykkLn2V2V0yrTmO6Kys42/dsmLr43albU/9d+Hnzrg2gDWmaYITstm+B09HAQJIgKFSFCqFGz5lNruO//3cd2TqsrDnOYeuqXZNtj4VK5MIaiDL4dO+mk48fP4zzOMMNE/p7ae+DfH2D6O9HPeM0fonW/T7zrCfIb87n8p5fz4JoHSatMw+fw4RyNBvsbbt6Aba+N0ZbRJe87nDJMwUIB/L1M+WVeZjvb5Wct2FLAt/Z8i/fzft71wru459F7ePiRh0nSJtHR0UF1dTXvf8v7KXuxDCVKrv7d1ZReVErPcz2YC83kN542iIpEIrzw3Au89bLlPRUELnzThah71bw89DJBglzGZWSTzc9CP2Pf/n1ccskl0TpClBgxUr6qnKPHomZWOnSECeMnvo4ujTQMGGQJw5nwxBNPcPXVVxMOhRk5OELLj1s4/ovT9dlrb1zL4QcPYymyyEzMN/kmPnyUW8upn6mnnnoaP9vIe773Hm4ou4F/3/HvpBWm8Q3DN4BoAN9DD1dzNStYwXM8x1e/8VX23LkHnUXHwtwCHjxEiLCb3axjHZlkMskkU0zxNE9TQw0GDFRSSRFFtNHGHvZwIzcSIoQfP0/xFJdyKemk48NHEkkySysC8F5zL62OVt7Nu5eoNARGGJGkwbRmmocCD7GZzaSTzgILrGIVBzjAJjbxCq+w+l2reewPj3EhF7Kb3ax68yr++te/UkEF7+f9+PHzQ35IhAhOThNT1X//72meJkQIBQrWsIY66iihhJd4id3sBiCZZDLJpI8+zJjx40eJkgUWUKCgiSbGGaeDjrjvokKFBk00OEINKgiGzlwbXEABG9lIcEuQr/zHV/ji//sizzz7zBn/JpVU3LjxkdjnQpBZQwzFBT979+5l8+bNCf/m0Z89yn9+7D8Z4fykn7H405/+xJu2v4lvm7/N8zzPBVzAYQ7zMi8veW5BQQHf+MY3uOyyyxLWB9fV1cV1L3itePLJJ7n66qu54YYbUCqV7N27V75+Bhnk1OXwl2f/gsKn4HtlUT8QzyoP39v1PfpsffzxB3/kpz/9KQMM0N3dzfqK9VRTzTjjfO0TX2PHH3dgn7CTRhr5FfkYBg1kXJnB9T+/Hq1WS/eObsYmx/jar7/GSy+9xDe/+U3+4z/+gzTSsGDhsk9fxg/u+wF33XVXXFcZPXo8LA0En3nmGd7xjnfwjne8gzvuuIPjx4/z9NNP8653vYtPfOITXHLJJTz99NMolUqSkpJ46qmnAHjPe94jX2MDG2iiiV/yS0YZ5amnnuLd7373a77Wjz76qOy4lAgKhUJ2vnI6nfz0pz/l4x//+Blfs6qqivb29rMmmIQfwrm0bL7xxhtll5ujR48u8ZeBaDcaYWy7atUqjh8/HmfCB9Hzyze/+U3579ra2oRjV6FQUFFRQVdXF7t27aKvr4/nnnuO3/zmNzz99NNccUWUrC8tLaWvr48vfO4L/OLeX1C7sZZn9jyDSW0ilVTChCmggNvedRvrblhH0BPk/tvvp3hDMZddfRnTx6epuboGY4YR234bfS/10XKqhaYrm9AGopnswm2FqLVqknOT0aacm8FuOBiOS3jE4o9//CNKpZJ3vOMdZ32dkZER/vM//1OWaX7nO9/B7XaTmpoqs8yXX345oVCI5557jkcffZTrrrsOhULBxRdfzJ133inl9RMTE+h0OtRqNWNjY7KFYW5uLunp6dJnRJRRx6K1tRWHw5EwqXk+GBoaor+//7wSoAL9/f0MDQ0t+xlCoRD79u2jvLyczMxMfD4fWq1Weg1ZrVby8vKw2WzU1dWhUCgIBoOyxWJ2djYKhUJ6s8QSIwcOHMDr9cp29nNzcxw7diyu5DwQCNDS0kIgEGDTpk3s37+fnJwcKiqiyYZwOMy+ffuorKzEZrNhNpspKSlhcnKSjo4OtmzZQiQSYe/evZSWllJQUCDvidVqXaJOt9vtnDx5krKyMkZHRykrKyMtLY0jR47w7ne/+w3C4H8CamqiEuG//OUvDAwMUFRURHFxMS6Xi3A4vMTAMBKJSBfPxsbG83L8fgP/O/Gd9O/gmfZQfEEx171y3Xn97YEDB9i0aRMOh+O8zTIFIuEIXTu6KNxSiN6qj1ucFx8A5N9EIvz2qt9y6nen4n7/db5OSWUJmeFMLuq5iCGGpBRR+VYl4ecSG3ppDBpus92GzqLjkS2PYNtnw4cPLdH5odQoCQfCTConUYQVVN1dRfrxdLqeimagp5lmllkpr3+O5wgSpIYamfU0ZZvY9oVt/OULf0ExF/1OsRnngDaAxhcN3H/P77nrd3eRM5DDC//2AmfC5+c/TyQU4aEND8kaTkO6gbc/9Hb+/Jk/47K5SL0qlYzKDL7+x69z1cVXoehT8IWnvsB3v/9dHv73h7nh8hu49q5ryV2Xy+joKD63j5Lypd4OkUiEe+65h6/f8XUefPxB3vv+9y55TiyOHTu2xKTzwx/+sFREhUIh7rrrLm699VaOHj26xAFdbC1ut5t3vOMdGAwGamtrufPOO7nmmmv4y1/+Ip/7b//2bwwPD8fV3p8rduzYEdeaNxKJcLfy7rjnWMutfOrUp5homyASjpC3LhpMv/DCC1x/8fW8lbfy3ZHvMuGeoLCwUGZNvqKIkm0Ppz/MsH2YVFJZwxqaaWZ8cpzH1jwmW6R10MEOdtA93s01a65h29g2HuZhxhiTn+NjH/sYT/zsCdaxjr3sxYePZJKjBmR/J5rSSKOMMjqISmktWFChwouX1aymjDImNBOsDKyUr7tQusDLfS9zBVfQTjtP8iSf5JMYMXIvp02vALLI4pN8EoBDHGIHO/jBD37Ali1bZOcHAQUK3sbbaPpYE7f/7Pbzui8mTCywcF5/8z8JycnJOJ1ONmzYwMGDB8/+B+eJzZs3s3fvXvbs2cPmzZu5SXETWUSdvx/mYV7uejmhQ/g/E3l5eedUB3vJJZfQ/HwzESL48PHd7353SUee4uLiuOz32TA6OorFYsFut/OBD3yAnTt3csstt0ivHIFDhw4tGdfLobq6Wnp2xOLOO+/kG9+Ikoc33HADX/nKV8jNzSUzM5P3ve99/OAHP1j2NXt6ehImf14NfvSjH/GpT33qVf/9c889t8TM9ktf+hJ33303J0+elK1dYxGJRMjLy8Pv98eZ5i2HWMIgMzMzYeeiW2+9le9///tAlLTo6upifn4+7hzyhS98ga9//etxfxcIBFCr1YyPj/Pe976Xn//851xyySV0d3fHeXe9/e1v509/+hOPPPIIH/3oR+N+t2bNGo4ePcrmzZvZs2fPkjPKM888wxNPPMEvfvELGaiq1eolZo1erxe9Xi9f53wQDod56KGH+PCHP3zGc/zZVKLhcJh7772XG2+8kZMnT8a1ev7+97+Pw+HAYrFI88ft27dTUFDAr371Kx5++GE++tGPyvf405/+xMqVK8nMzMThcJCXl8eJEydITk6mqKgo7n3n5uZISkpK6GHg9/uJRCKvOT7x+/1MT0+TlpbGvn37yMzMpKqqCqfTicFgOKM/hDANTE9PP6/3jEQiuFwuSZZ0dnZitVrjlLKjo6N0d3djNBpxuVwYjca4luWzs7N0dXVRWFhITk4OgUCAvXv3UllZidlsZmZmhoyMDE6ePElJSQkWi4WRkRGSk5PRaDTSk2jjxo0sLCwwOjrKypUrUavVeDweDh48iNFoZO3atXR0dGAymcjNzWVubo5gMEh6enocgTE5OUlPTw8ZGRmYTCZGRkZYtWoV4XCY/fv387GPfYykpKRzIgxed9NDMTnPFTqdDovFQk1NDRdddJFshfF/BW63W26Sg4ODzM/PS+fKxYf1sbEx6dR5Pr0z38D/Xohat6Dv/N14N27ceE6u2kFvELUu8Xg7+MODPHfLc1hKLHy4+cPy9/fccw+uCRctD7ZQtL2IkjedDmB3fm0np353iqt+exWpZakk5yQzY5vhy+u/TDgc5o/7/8gf7/8j5TnllKnKOPHyCa77xXW4Rlz0vdxH9ZXV/KDwB7zlnrew4l0r+F7e92j/bTvhUBjbPhvv+8v7UFWo+N1Pf8emtE1UvaOK448f5/LvXo7X52X+1nlCMyHcY27u3nM3Q0Tb4dRRhwIFx4lmp6/8+JX4f+onrArzb2PRw+36T65HoVRQpChiiinu4A4APj/8eb6bGTWk28Y21q1bR/OPmym5sIT+l/sTXrvMuky0ydFN9TNdn+GZG57h6M+Osulzm1jxzhUUNRXhmnSRXpVOJBIhXB2O1sk1gFKt5Pbbb+f22+ODuDOVFikUCubm5phnnsyc5ev/BOrr6/n+97/PbbfdJn938cUX8853vlP2Yxbu18Kx32q1ymyGgMFgWCK93rFjBx/84Ad5/PHHUavV3HvvvTz55JPnTRhUVFRwySWXLPmeH9n9EeaH59FZdPQ810P9B+tRqpXkrInK5WdnZzGZTKhUKoYZ5iEe4qe5PyWZxMTZsa5jWK1WZvn/7N13eFRV+gfw7/SZJJNk0ntIhRQ6oQUIImJFFAFdCyhYVldRXNuqKKvuqqtiRV1AUbAvig1FASGE3kJCQirpvdeZybTz+yO/e53JTJLJZCAB3s/z8GhuPTNz58w97z3nPc34A92zCkhlUkTOjUTGpxloi2rDV2e/Qk5ODvz9/fFL4S9QuiphguX36x//+Afuu+8+fPzxx9jzQfdMBOZP7IHuAFYjGvm/W/HnjAJe8MJkTLYYj/4H/sAPJ37AG6o30IUuFKP7evsUn1qdH+jOFXEKp+ANb7hd4Qbs7E5iNXLkSKttGRh+xs/4acNPfMDAz88Pb7zxBuRyORYvXmy1D+diDRaEh4fjwIEDkMvl8PHxOSfBggcffBB+fn44ePAg3700MCEQpuzu/CAVqOCfRp0rgYGBfPfZ3tibNOu3336z+LtnsADAgIIFQHddN2vWLPz44498LpuewQLAciaJ/tgKFgDggwVA96wDLS0tALpvxvsKFgDWMw0NxmDv+3rWlUD3rEkAsHPnTpsBg5tuuom/DjZt2oS77roLNTU1cHd3t9lg7Dks0RbzzOxcr4X6+nq0tbXxsznZ6s6uUCjwxBNPwMvLC6mpqdi8eTNuu+02rFmzBhUVFVbHT0tL45dxjX9uqkaNRmNzxoZbbrkFarXa4vtlPtvBO++8g9OnT/Mz6Bw8eBC33norPv74Y8jlcuTl5WHUqFFWgaINGzYgMzMTTzzxBE6fPo2//vWvMBgMDgeA0tPT8fXXX+PVV19FV1cXrr76aov1XIPa/B5PrVbzv9U9Z9iYP38+gO4GcWFhYXeCYDc3/ul6SUkJvL29oVKp+CfrtjgribpUKkVgYCA/owHX+/rUqVOIiYnp815HIpHYHSzguu2LRCLMmDEDYrGYf88MBgP//zqdjm/Yx8fHQ6VS4dixY1aBEZVKZTGcXCwWIzw8HG5ubjh58iSMRiMCAwMtevVyszPodDp4eHjA29sbZ86cgclk4r8fdXV1fP3U2dmJ8vJy+Pn5ISsrC3V1dfD390dXV5fV6z579iz/8C4/Px/u7u5oa2vjew0NJDGn01udn3zyyYC6oZhHBcViMZYtW4a1a9c6PO/9ha65uRleXl42p//y8PCAQCCAv7//gLvokIsTFzDgEgvZwkwMW2/eiqazTbj78N0QSbt/iLct3QZXP1e+O7+5xoJGZGzOgFAsROqaVMx9dS4mPzgZEpc/K5e8H/Ow4+EdCBgfAHW9Gm+FvYWxGIsMZODhvz2MdaPWobWsFUKxEMv2LkNYchgachuw97m9GH/3eMQv+vPmRObdXekyxuDt7Y0V/1zBr5t6T3d+Bc8RnpiworuSfbLlSQhF3d+B4KRg/HzfzwCAsUvHIubq7h/6x//zZ2P68n9djumHp+OPP/6Aq6srhEohVuxfgY63O+Dl5YWlS5fiNP7s7rh+/XpEBETgwPoDCJj853AdLnkhF2T4DJ+hDW143vd5LP1jKV6+52UEnw3GL4t/Qe3RWly3/jowI0PJ3hL4j/FHbWb3GPvLXrwM45dbdtUMmRKC9I3piL22+6mhQqWAQtX9YyEQCJCYmIjCwsJBTYPFTYNkT9dSgUCAlStXWgQMAPBdPM1xP94vvvii3TdA3OvgIuqLFy9GUFAQZs6cCZVKheLiYv7GZPv27aipqcHatWstIuHPPPOMzRvLsOQ/h7VEX2WdmLGvGx5zXO8UlUoFuVxuMQ2tVCrtTtQFYO41c/H626/zv2UuLi7Izsnmn0AD3dO/hYSEIDIyEpMmTeKHog0Ed92JIEIa0jARE5GP7psABoYzOMNvyyUPteV7fA8AuCPgDr68SqUS+/btQ2ZmJh588EF+26+++goAsHHjRtx9991YuHAhbr/9dqtGoD0kEgnef/99REVF8TM02Ouhhx6Cq6sr35WZIxaLz9v0ZUD3VJTBwcF9fg9/+ukn/gacM2fOHH4Ky75MmzYNzz77LLy8vLBo0SI+idWKLSvw7t3v4o737sAq/+7v5MKFC/Hdd9/1eix7Gv29+eCDD3DDDTfYXHf//ffj888/tzkl6Pm0b9++fr/Lq1ev7vc4K1euxDvvvGP3ef/3v//1uu7BBx9EXV0dgoKCkJ2d7dR7WWc8KFqwYAEEAgFWr16NiRMn8sslEgk2b96MrKws3HjjjZg2bRr0ej22bdvGb7N8+XLk5eXh1VdfxWWXXYYnn3wS48aNw9GjR7Fr1y6kp6fz08b1hZsy7ujRo/xv0aJFi5Ceno6srCwkJCTYrNcNBgPef/99vPrqq1brzBN3c9/NTZs28ct++OEHi+21Wq1VcBv4M1CxZs0am2Xnpog2DyJ9+eWXuOuuuzB58mQ+wLdu3TpMnz4dCxcuhNFo5IeHvPfee/x+5o01xhg2b94MgUCA4OBgi3Xck3ZuO5PJZNHgdHFxwfjx47F9+3Z+GddwZ4zx+5w4cQKzZs3ik/3Zqje3bNmC2bNn80Gh7OxseHh4oLKyEq2trZg4cSIKCwtRWVlpM/m6s7m4uFjMaJCUlGTX/Yu9uMAJ12g/cuQIXF1dERERgYaGBj5wpNfrUVZWxpdJLBZj2rRpVsfjhnNwM/8YDAZIpVLIZDLExcXBZDJBJBKhtbUV5eXliIuL4685qVTKPyiuqKjghxjV19fz23h6esLDwwMuLi5QqVSIi4vjE97r9Xo0Nzdb9HgICAiAUqlEW1sb/P39odFoUFlZibi4OHR2dkKj0dgM/Nni9IDB0qVLIRAI8OOPP6K5uRkuLi6YOHEiHzWsrKzEiRMnoFar4eXlheuuuw4tLS04efIkKioq8NFHH6GgoAC7du0aVMKMCwV34RkMBiQnJ0MsFqO1tdXmF9nV1RVJSUloamoa0NSJ5OJkMnRnJZYqpXymYFuK/yjGma3dDYmzO88i9tpYlO0v48d5x90Uh9Bpf/7YFu0qwudXfw6T4c/I9K4nd2HXk7vwaNWjUAYqUXagDF8t6G5IzFo9C8pAJT6a9hGmYAoykIFv//ItWstbcf/p+7Ft6TYceOUAwn4KQ9mBMgiEAlz9tmU0nPuu29sY5oIFABA6IxQVh7ufLoy7a1yv+6xfvx4lJSUWwTbuxz88PBw//vgjP20dN/Vd4PeBCJkQYn2w/1eIQv7HK+KyCNRF18H/rD9qj3YHBuIWxmHUglHQdXY/8WgpaYEqQgXPEZ5Wxxq/Yjwir4iEZ7j1OsA5c85z9bB5F7u+cO8V17W0t26GYWFhyM/PR3R0NMLDw+2a7pJ7csDNwiEQCDBjxgzs27cPkZGR8PDwwP79+1FeXs4POUhNTbUIGJzrwOnKwpXQNP8ZiddqtYiPj8eZM2cgkUggUXTf1ElcJFb18ahRoyxuSAMDAwddnja04Ut8CSmkOI3T/Dh2R98H7qaGuzmdOXOmVTIp7knEsmXLkJmZiWeeeQYA7L7J4Kxfvx7Tpk3rdQrWJ554gk9yxj0F4axcuZJ/eswFDBITEzF//nz8+9//5t/7gIAAzJ49mw9y9MXDw6PPaxroHvP7888/83/PmTOHv7Z7+/318/PDddddZ7X8lltu4QMGl19+Obq6urB//35+fWhoKMrLy/Huu+/yPS3j4uL49UHjg/DyiZctjrl161ZoNBp0dnbC3d3dYkab119/HX//+9+xdu1am0/0e+ISfgHA4cOH+c+9J6FQiDfeeANTp07FsmUDGwZ3Lvn7+6O2ttahfW+88Ub4+fnh2WefHXQ5li9fbnPcvjM44574+++/5//f/Hu2du1anD3bnVH3tddeA2PMonHL4Rrre/bswZ49exAU1D0UjmP+VL83n3/+OZ5++mmLJ7Hck/9XXnkFUqm0197GLS0tFt8bWzIzM/tcDwB5eXk2c3e1t1snDzbn4uICtVqNQ4cOWSx/9913cffdd/N/v/nmm/ywC/PvsTnzIRhpaWm48847bW7n49Pdy/Ds2bN8ANqcyWTis/RzuDq9vb0dQqGQrxs0Gg1EIhGf9b+nJ598El1dXRAKhdBoNIiLi4ObmxuSkpL44EB9fT2Ac//7y9FqtXzekIH+7vTH1dXVIiABdE+76OrqipiYGP475+rqiilTpqCmpgalpaW9Bu/Ky8vR2dmJqKgohISEoKurCwUFBZDJZHzQx2Qy4dSpUwBgNYy3rq4OEokE/v7+cHd3h0AggFQqhbe3N8RiMU6f7p4Vi/s8/fz84Ofnx38nevZoCgoKgl6vh4+PDxobG3HmzBlMmTIFEomED9zZjZ0Dt956KxMKheyf//wna29vt1rf0dHBXnjhBSYSidiyZcv45Z9++imTyWRMKBSyTz755FwUbViJj49nI0eOZKdOnWJ79+5le/fuZYwxVl1dzcrLy622V6vV/HY6ne58F5cMM13tXWwN1rC1IWvZOzHv8Mv1Wj1rLGjk//7x3h/Z25Fvs3Xx69j/lvyPMcbY25FvsxckL7A1WMPWYA07+v5RfvuPZ3zM1k9az9I3pbM3gt9glccq2Vsj3mJrsIZtuXILM5lMbFPKJvbh+A9ZZ30nv9+JjSfY83ievXB/93EPvXmIMcbY7md3s//4/oeZTCa2/cHt7L2492y+HgBsxIgRA34fWspa2Lal29jpr04PeF9bZbCnWkxPT+e3XblyJb98wYIFzAc+LP2HdFb4W+Ggy2Pu5MmTbM2aNWzNmjXMZDI5dAy9Xs/2798/oH10Oh2rra1lTz/9tFPrnY8//pgBYHq93u59Ghoa2DvvvMPmz5/PALDPPvts0OVYvnw5e+WVV/rdLjU1lT300EPs2LFj/Hn3/nMvW4M1bO8/99rcx2Qy9XpN/fLLL/w67p+7uzv//83NzYwxxk6cOMH8/PystmWMsfz8fPb1118zxhi77777rLYBwNatW8fef/999sEHH7Bff/2VZWVl8evKysrY3//+d9bV1cWXKycnhwFgs2bNYgDY7t27bb62s2fPWpzH39/f5vl7e/3m6xoaGhhj3fcAANi7775rsf6jjz7i9/vuu+/Yvffea3GscePGWZzj+++/Z59++ilraWlhlZWV7PDhw/yxurq6GAAmEomsygGAvfHGG/z/f/nllxbrrr322l5fQ2dnJwPAAgMDrdZ9//33rLCwkLm4uDAAbMyYMeyPP/6w2CYuLo4BYPn5+Tbfb3uYH6+mpoYxxlhRURG/bM6cOWz27Nk2P59Tp05ZfFZpaWkW67myT5061ep8x48ftzre559/zkpKStjOnTv7vC6c9e/06dMsLS2N/fbbb4wxxt58881et33ppZcs/t6/fz+rrKy0WCYQCPhr8ccff2Q333yzxffwrbfeYlu3buX/Xrt2LQPA6urqHP78+vPZZ59ZvZbs7Gz+/23VE9y/3Nxcq+NlZGT0uv2qVass/haLxU79vEaPHt3n+ujo6H6Pwf0ecp+V+T9vb2+nltdoNFq8/88888ygj/nBBx8wo9HIXnrpJaZUKvvclqsfevv3+++/8+/HmjVren3/7rrrLv7/N2/ebLV+zpw57NSpU8xkMrETJ06wvLy8c3Y920On07G9e/eyI0eOnLNzdHR0sKamJqvlaWlprKKiwmJZbW0t27t3b5/3LeXl5aylpYUxxlhXVxfbu3cvq6+vZ8XFxSwtLY2ZTCZWWlrKOjo6LPYzb+P1ZDKZmF6vZ0ePHuWP197ezk6fPs3UanWvZSksLGR79+5lRqORFRQUsOzsbGYwGFhrayvbu3cvi42NZfHx8X2+PxynBwzWr1/PhEKhXTdgr7zyChMKhWzTpk38spdffpkJBAJ25ZVXOrtow058fDwbMWIEf4Fw/zIyMmx+OSoqKvhtHG0wkAtbZ30nM5lMrCazhu1+ZjdbgzVsXfw6tjZ0Ldvx6A5WvKeY7Vi1g63BGvZu7Lus7EAZe83vNfb747+zYx8eY2uwhp369BRbgzUs+3/Z7My3Z/iggbZNy/QaPXtR+iI7/M5hi/OaTCZ2fP1xtgZr2IHXD7A1WMNytuVYbFOTWcPWYA1//rbKNsYYYznbcvi/P0r+iG39y1abrw0ACw8PPyfvm724H017tbe3W3wXP/jgAwbAZqB0sI4fP87fDBgMBqcffyg4Wo8dO3aMAWBnzpxxcokGZv+r+7u/E68d6HUbX1/fXq+pnjdr+/fv5/+/5w1Ja2srv+7LL7+0ebzt27db3TTbsnv3bjZ58mRmNBptrv/6669ZV1cXKy4u7vV1MdYd9Lj22mvZ8uXLGWOMhYeHMwDs2WeftXptvb1283NotVr27LPPMo1GY7HvsWPH+ixHV1cX6+zs7HOb5uZm/uYPALv55psZY39eg5MnT2ZAd8P/1KlTrLHxz6ArV44bb7zR4pjXX389u+eee5hWq2WMMbZz506Wk5NjsQ8A/gGAyWRiN910E0tLS2O///67xTaTJk1iAFhtbW2fr6MveXl5DAALDg62WH7y5EkGgF1++eWMse66ZOHChRbnNw8AMcbYmTNnLNZzgYfJkyfzx+UaaowxFhkZabH9zp07rd4/AOz222+3CIxxjZTBNr5KS0ut3o/etq2rq7P4m7vfMl+WlJTEALBdu3bxx/vuu+/49du2bbMICBqNRlZY6NwgcU9fffWVRRm57x33NxfkE4lEDACLiIjo9zfN3vdXLpcP+jMCwEJDQ5lUKnXKsbjfQ1vHu/zyy/n/54IHCoXC4XN1dnayO++8k//b/L09F/8CAgIGtP3DDz9sETDoLcBw66239nmcxMREtmfPHlZXV8dqampYbm4u3+g9e/YsY6z7wYNGozmn1zrHYDCw9PT0cxaIa29vt2ikV1RUsObmZmYwGFhmZiYfuNdqtWzfvn3szJkzTK1W233vYjQaWXt7O9Pr9ezw4cP8eUwmk9UxjEYja25uthkAKCkpsWgnNjU1sba2Nv7vrKwstnfvXj5QwcnIyGBpaWns5MmTbO/evSwtLY0VFRWx2tpadvToURYfH293wMDp/Uk++ugjCIVCu8ax/u1vf4NQKMSGDRv4ZVzSRK67xsWu5/gfmUwGqVRqMxFFQEAAxo8fbzHujFyYGGPY/+p+lB0oQ2ddJ9oqursFFvxagF3/2IXiPcXI/CwT9Wfq+eVb5m3Ba76vIfOzTPx0909I+1d31z+5pxxt5W04vPYwvrv9O1Qc6u6e35jfiI+TP0ZnXSfiFsZh4r0T4TPKh8/cHzwlGHEL47CyaCUg6E5gWHW8Ckad0WIMONDdbWrC3RPgHuKOnY/thEe4B2LnW2bo9o3zhVghxunPT0PmLuuepxlAwLjubn/VJ6tRm1HL/93b+zKUnn32WWzevNnu7bmkQJz77rsPHR0d5yQHi/l7Y0+yyguBo8OqJk2aBMZYr109zxexortbonluj57y8vJQU1Njc92sWbMsuuUmJyf/eeweXR7NhwrccovtGS6Sk5Mtutnm5+fb3G7OnDk4cuRIr11KlyxZAqlU2u945Kuvvho///wzPvroI4vlL7zwAo4fP85357c1zvzLL7/Et99+a3EOmUyGF1980aJrfWtrq8WYTFvs6arq6enJD8lpa2vDli1bAPx5DT733HMICgqCQqHA2LFj+dwB5h577DGLv3/44QesX7+eH9Ywd+5cfgxzR0cHvL29LZKnCQQCbN26FTNmzMCkSZMshqlwr5EbJuII7n6i5+fGDZvi6o2JEyfiv//9r8X11rN7dlxcHMrLy/mZGLiurub1UH5+Pvbu3QugO7mW+TpbSTSB7nu81tZWizHls2bNstqut9wEveUaGMhMPz2HoXDvm/n0mLNnz0ZTUxMuv/xyfpmrqyv//5MmTbKov4RCodNmQ+hNzyEJPb93XNJCLrmhPePLjx8/bte5ew5P4KZxGyhvb2+LPCTmSSO5IYF94caam7N1v2z+G8wlgnNzc0NYWBiCgoJw7bXX2jz+c889Z3P57t27La6x4uLifssKdF8nA5m2mvvMes5M0J+PP/7Y4u/ektmZD0OwlTiwoKAAGo0GOp0OQqEQDQ0NFon/gO5x/keOHBlQ+RwlEokwbtw4u4dRDpREIkFISAhf/xYWFqK6uho6nY4f/g38Ofyirq4OR48etTmcA+iuE8+cOcPnoRMKhXBzc4NYLMaECRP4vAd5eXnYt2+fRZ0pFArh6elpM0eDt7c33NzcoFAoMHXqVKhUKiiVSiQlJSEhIYEfXsANK+JERUVh7NixCA8PR0JCAn8N+/n52T17DMfpOQxyc3Ph4eFh1w2zm5sbn1SD4+fnBw8PDz4L7cVOLBbz88NyUyX2zF7K4cYdFRcX83ODkqHDTAwNuQ3oauuCWCGG/xh/NBU0wTvWcv7ruqw6fHvrtwiaGITrP74e1SeqUX+mHruf2g2fOB9oGjXorOvELT/egq9v/BrMyHDglT+n6QlNDkX5gT/no09dk4rmomb+b7eAP79r7ZXtaK9sR9iMMETOi8Te5/ZC5i5D8ORgCAQCRM6LxNF3jsIt0A3uId0NEFWEClNXTUXqmlRMe2wapG5S+I+xHj8oEAgwauEoHH3nKBZ+vtAijwDQnbnfL8EPVcerEDwlmL8+PcI9IPOQ4czWM9B16PoMGAx1Q5jL+u8ogUBgcVPpTObvjdFoHFB2W3JucN+BvgIGKpWq13XcTbez6nIPDw9UV1dj586dqK2ttdnoPZdee+01PPvssxAIBHxge8+ePTZzWvQW9OipZ04FZ7DVuLz22mt7zfrPJbw0b1D2h8s5NHXqVDQ2Nlo1dFQqFaqqqvjP/s0338Rdd901qOnIuDqhZyCIC6aY35z6+Phg//79EAqFYIzZDLiEhITwc9xz65cuXcqvj46ORnS0dVJRwDIJnTnu3u76669HW1sb1q9fj5UrV2Lu3LmYMWMGv11WVhY+/PBDvPTSSxb7P/TQQ9i0aRMSExNx4sQJnDnTnZ+nr/ftgw8+wP3338//bR6QAv583/bv34+ff/4Z119/PRhjVt9d7kZ+4cKF/Oe5fPlyh6clHiixWIzg4GCMGjUKW7dutVrPBaC4xqY9vxG2HkAdPnwYu3fv5vOVcNMZ5ubm4vXXX0dycjJmzZqFrq4u7Nq1C8ePH8fzzz/P728+1ahCocCRI0cwZswY/jXMnDkTQHeA8+GHH0ZOTg7++9//YtKkSfjiiy+QlpbWa1LY48ePWwW3pFIpn9D3xRdfxOrVqyEWi+Hu7o7Zs2fzY+5dXV35PAEPPvggIiMj0dbWBrlcjkmTJmHp0qW45557+JkjzF1//fUAuqdD37FjR6/Xt7k33ngDjz76KFpbW9HQ0IC33nrLZl6I7du38wGMs2fP4vPPP8fhw4f59S+99BL0ej08PT0hEokQFhaGtWvXYt++ffj3v/+Np59+GjfeeKPVe2KL+feVyz0hEAhw+eWXo6amBjt27IC/vz9EIhHq6ur48fLm4/wDAgL49/tcY4yhuLgYSqXynAQNZDKZRaBv2rRpEIvFEAgEiI2N5esKiUSCmTNnQq/Xo6Ojo9f6RiwWo7q6Gkql0uoaMf+dr62thYuLi8Uyg8GAY8eOQaVS8YFnjpubG0aNGoWMjAxotVr+/C4uLnBxcUFbWxukUqnVd8P8frSxsREtLS0YNWoUGGM4fPgwjEaj3blRnB4wMJlMaGlpQXNzc583SkD3jACtra1WP1R6vf6SmiWBi1QdPnwYEydO5KNbCQkJFts1NzfblcyFOFfFkQro1XqEzwrH/lf2I2FxAvJ/zseRt4+gtcw6acit229FzakauAW4YeT1I7Fp5iZoW7SoO12HzM8yLZIJNuT8Oa/xV9d/hZCpIbjlh1tw7INjMGgNyN2WywcLrv/oenTWd2L3U7vh4usCdX130ji/0X7I+c5yOqhpj01D5NxIlO4txZg7xvDZ/aPmReHoO0fhM9LHoqKadN8kHF57GPv/vR+RV0RCKLb95HHuK3Mx4e4J8B9tOyGR35jugIFv/J8Vu0AgQMC4AGR8mgEACJpkezqcmJgY/POf/7S5jlycPQwudMzU/Zlw36/h4oorrhiS8y5evNhqqsXZs2cPSVmc6dSpU3zDdCC43gLm08j1Ri6X20xoNhBcA7FnAIpr6NrqwZWTk4PS0lIAwAMPPIBvv/3WYv3nn3+OnJwcCAQCu3qAbdy4sdftrrvuOoup/ZRKJZ+Q0by3w9/+9jcEBwfjrrvusgoYAOCTMzLG+OBIX43jJUuWICYmBnPnzgVg3ZjiEjwKBAK+8W+rjk1KSsKiRYssnor3fMp/LolEIj4hr3kPjAMHDqCoqAitra1QqVT8k2NHZlXYsWMHpkyZgilTpvABA+443H35k092TycslUpxzTXXYM6cOTh48CA/cwqX0Bbofm9Hjx6N06dPY/To0RCJRJg0aRK6urr4z+GVV17BxIkTMXPmTAgEAsjl8l4DBv7+/sjKyrJInmr+eXLBEoFAgHnz5iExMZHvsWz+5FYgEPDfk8jISMydO5dvON122234/PPPbZ5fLBbbnLLvueeeQ1NTk0VAgHu/PDw84OHhgXfeeQdr1qzBhg0b8I9//AMAMH78eFx11VV4//334ebmhpCQEDz55JN8Pbpnzx6bdeiCBQug0Wggl8vx9NNPQyKRWCRD7+378OKLL+Lll1/G3//+d/469vPzw4wZM1BQUACRSIQDBw5g1qxZqK+vh0wms3q957onTU/l5eWQSqXnJGBgNBpRVFQEgUCA6Oho/loymUzIz8/HyJEjoVAowBiDVquFVCrts20bGRmJgIAAm+9/VlYWWltbkZKSgsmTJ1ttYzKZoNPpbCYj7OzsRHV1NQwGA+rr6/kH6xkZGRgxYgS8vb0hFAp7/c43NTUhOzsbYWFhEIvFaGhogE6nG9DDCqcHDBITE3HkyBG8/PLLfMbj3rzyyiswmUwWDePGxkao1WqEhYX1sefFxTzD7IkTJ6BSqWxmKOZ6HsTGxtK0ik5ycuNJSFwk8E/xx+mvT0NXqkPiLYkoP1COtso2xC+Kx6YZmyz22fPsHv7/pz46FUGTglC0qwgGjQFZX2bhi2u/sDrPXzP+itwfcpG+MR0A0FrWisX/W4xtd2xDyvMpSLg5AYffOowZT86Aq58rZj8/GwAw56U5MOqMaMhtQOD4QHTWd6KpoAnTH5+O4j+KcerjUxhx2Qik/jMVqigVms929zwInhwMqasUS3cvtShH9JXRSH4yGXELLbtye8V4QRmsRHtlO2Ku7X1+b4lC0muwAAC/rmcvi4DxAShNLUXw5GAovGxPidNb92nSjQIGw09dc/c8421N5296ucE8gb6QrF27Fj/++ONQFwNAd/f63rrY94W7Ieyt1yAAbNu2rc+pEQeCu9nteRPIPZSxVW+Yv7Z169Zh3bp1Fus9PDwwdepUu8uwYsUKq2VcsOG9996zK8v5a6+9BuDPXgphYWF46623LBqi3HE5fTWOpVIp/xnYmsHCvCHCfWa2gh5yubzPKRXPtd6eBE6fPh3Tp0/H+vXr8fDDD/PvhUQiwfjx4/kn7Pboq35ZunQpPvnkE6vp5ORyOTZs2MDft8fExOCxxx6zyPrP9X7gymbeyPf09OQDIcCfDe3Zs2cjNzfXakhXQkICNm3axAe6pFIpbrvtNkycONEiaMa9Fq6BZ96zxPw7yQUSuPVvv/12rwGDjIwMqx4q+/bt43tNvPXWW7jrrruwZcsWqwefAoEA3t7eeOqpp+Dr64uEhAT+u2XeA8b8feprCkHzdXK5HLm5ufwwPe59SEhIwOTJk7Fv3z689dZbWLduHSIiIix6xXBTwMrlcj4QVVZWBn9/f1RUVECv1+PgwYNwdXXFpEmT0NjYCK1Wyw/xOpcEAgHGjh3r9NkROBqNBlVVVVbvs0AgwLRp0/jvnMFg4HvN9JxVwZzRaIRMJrP5XY2NjbVo27W0tFgEY6RSaa/HbmxsRGVlpcXQOoVCAblcjpKSEiiVSkgkEowePdrm/mVlZWCMoby8HB0dHRgxYgRCQ0MH1JZ0esDgnnvuweHDh/HGG2+gtbUVTz/9tNVYnLKyMvz73//Ghg0bIBAI+PlJAfDj4c7VtDTDWUREBD/Foq0vh4+PT58XKhkYo86IX1f+CoPGcgrLo+8c5f//yFvd47QmrpmInHU58AjzQPWJarj4uGD619NRVFmEuUvmYvRfur+kU1ZOwekvTiP2ulgcffco8n/Ox+x/zob/GH/4j/FHyuruz6+zrhOufq6InR8Lsaz7a9hzqkGgu8uzUCFE4PjuH1tXX1dcv7G7a5zPSB8k3Z8EbYsWyiAlZvxjBoQiIUpTS6EMtN1FUigWYu4rc62WCwQC3PLDLWiraEPMNb0HDPrDBQq8Yiy7QnNDHMJmXTqBQGczv9mngMHw0KrpfhLQUt8yqON4e3vzc96/8MIL+PDDD21u9+233/Z6Q3CxWbVqFVatWjXUxRgU7qa/r4DBDTfcwH/2g9VfD4M5c+b0e4zCwkLs2LED9957r9PmWBeLxdDr9XYPo+K2k0gkeOmll3Dttdfy85P3pq8nZTKZjM8l8cgjj1is6+zstLjf4m6ghzqfji393dy7u7ujuroaQqEQ3t7eWL16Nd8boy+MMaxatQpvvfWWxWf04IMPIisri/87IiKi17H7ISEheO655zBp0iSkpKSgoaHBYj13XHt6Pbi5uUEikWD27NmYPXs29u3bhwMHDli0C+68806+R+KKFSsgEomwatUqix4y3PfOVl4Q86er3PeDKyMXaJDL5Zg5cyZ2797d62/u9OnT+WAB0B3U4Y7bV09pW4E1c9z7ZE9DeefOndixY4fFUO4ZM2ZgypQpuOWWWzB+/HgIBAKsX78eJpMJGRkZVvk4ampqIJFIIJfLERMTAxcXFzDG4ObmBqFQCFdXVz6AV1FRgZaWlvMSMAB6z2fiDC4uLpg4caLNgIF5/ScSiRASEoKOjo4+j5eZmYm2tjaMHTvWqtzc8AGg++Gw0Wi0u00XEhICNzc3ZGVlQa/XQ6FQQCaT8b3Sjh492mdwacyYMejs7EROTg4CAwPh6uo64DrO6QGDu+66C7/99hu++eYbbNy4ERs3buSTjAgEAlRVVfFRQcYYFi9ejLvuuovf/9tvv4WHhweuvtq68XSxioqKwtmzZyEWixEUFAS1Wj0sf6wuOiLA8JABOAHgMIAZAJoBHANwPQAXALkAEoATOAHcB6iFaiAJULuosSttF4Du8WXcl9fPzw8lgSUICQxB67WtmHbbNOi99fjuu+8wcuRIhIeHQywWo1HbCLlRDrFMDJPJZNE9biBaWlrQ2tqKVeWr+G7R4+4c59DbETQxCEETbQ8XsFf01dFYtmcZwlMsg4Rcz4OQKdYJi4h9euYwGO46OjpQUFBwUQd/PaZ4AFMAvyv9+t+4D+Y316tXr8bq1attbrdw4cJBnYecX1wDxGAw9LOlc3A3uD2fAAuFQtTX19uV0yItLQ2NjY04dOiQ0x5QSCQSSKVSuwMQ5k/nnn766T5/G0ePHt3v8FexWIyIiAio1Wr+afX333+P0NBQqwbZhAkTsHDhQn6oxPnW0NCAjIwMTJ8+vc8GgHn3c864ceOQl5eH8PBwNDQ0gDFmM2BQX18PpVJp8aSce8/Nf2feffddu8stEAgshhT2HOPOHd/egIH55zJr1izcdddduP3223vdhzu+edCMu4/mjmX+PeSS0gF/Bgy495MLGEyZMgXJyckoLCzE6NGjbfZ42rhxo9Uy7ryDGVrNvU/2jC/38PCAXC636MrOfd8qKir4pIsajQYRERE4ffo05HI5AgMDERgYyL9+kUgEjUYDgUAADw8PFBYWQiQS8cNIOGPGjDmvbZTU1FT4+/tbjet3Bi4poT3b2TMUY8SIEcjMzLS4vmxxc3OzqrcMBgMOHDgAgUBglQhWKBRCqVRCKpVCo9HA3d0der0ebW1t8PDwwMiRI/v8bgmFQmi1WggEAri7u0Oj0SA9PX1ocxgAwBdffIFx48bhlVdeQVtbG0pLS/kgAcfd3R1PPvkknnjiCat9L0QajQYvv/wyvvrqK5SVlcHLywtXXXUVXnzxxX6jcNyHVVBQgJaWFv6D7RlRr66uRn5+PuLi4viMxcRxQqEQ826Yh99dfse0J6ahpqYGxUXFwGx0BwsAwLwXKvdtsZGzT6PRQKPR8BFerotpbW0tv83p06ftKpe7uzva2rq7OLu5uSEmJgYikQiBgYFoaWmBQCBAYWEh6uvrYTAYwBjD3XffDYVCAYVCAZFIhPr6ehiNRgQEBEAgEFiNb+uLXq+HQCDgK5+Ojg4IhUK7It0CgQAjZo+wWh40KQh/y/kbfEZZj/0j9jEfB30h9DDYtm0bioqKEBwcfNHWVxqdBrgaaOxoHOqikGGIa5D1DPBxGcgdGWPeF4lEgpKSEpuZ5G2Nu7aFux/Zu3cvxo0bN+BZG7hur8HBwfyxxo8fjyuuuMJqSAHQPQsGdw5/f3+MHDmS/50yGAz417/+heuuu67X2aFuuummXssyffp0zJs3jz/et99+i7Nnz+Kpp57CggULwBhDVVUVAgMDLRqLPfM4nC+VlZV8A3T//v24/vrrLQKu5r/fXV1dFtdXWVkZ/xvB9USwlTvDZDLh/fffR3BwMO6++25+OfdZOSsYbR7sMBqNUCgUWL16tcU5e6NUKnHVVVdZLOvZQO35t/kwjPj4eItgiFQqRXR0tEWZurq6EB4ejkceeQQ5Od05oLjfVbFYjJCQEP6eZ9WqVfjrX/8KqVSKyy67zOZ5zXHHGUwCZG6YjD33bNw9nq3vl/kytVoNb+/uXqDu7u647bbb+B4EQPc10NbWhvz8fHh4eEAikfCBl9LSUnh6esLT09PhB1yD0V8D3FE6nQ6HDh2CTCbrc+gVV69xsxP0RqVS2RVotdVjSiAQwMXFhf+MzDU0NPATBHB579RqNbKysuDm5gYfHx9IpdJegx8lJSUoLS2FSqVCZ2cn9Ho9gP57LZk7JwEDoVCIp556CitXrsTvv/+OkydP8mOofH19MWHCBMybN++cjUk537RaLebMmYPDhw8jMDAQCxYsQElJCTZt2oSff/4Zhw8fRmRkZK/7m4/drq+vR2xsrM3IslKphEwmO2dZ2C813Bilnk9jTCaTxZeIMQa9Xg+pVAqTyQSNRgOFQsFvwwUKOjo6UFlZyWfeLSkpQWtrKyIiIuDh4YG9e/ciICAAjY2NqK6uBtDdFbmx0bKxwQULgO7Genp6eq+vwdXVFVqt1maUuy9ubm6QSqVoamqyCFBw2cBtCQwMREBAAEwmE5qbm2EwGBAXFwej0QgvLy+YTCaEhYXBw8MDGo0GxcXFqKiogFQqhZeXF9zd3VF2sgwCgQBNTU0ICwuDXq+Hq6sr6uvrUVFRgcjISAQHB0MsFqOurg6BgYEwmUwwGAzQarVwd3dHR0cHHzTp7OxEWFgY/P394eLigrq6Oj5LbEtLC2pra+Hr6ws/Pz+YTCaIRCK0tLRAIpFAoVCgs7MTSqXSZjCFuyHhroeB/kCa39BUVlZCo9Fgz549CA4OxsSJE9HS0gIPDw+4u7tDoVAgNzcX//vf/5CQkIBFixZZHIt7/Rzux5PrTttb2bjocVtbGz/uMCIiAgaDAY2NjfD394dQKIRQKITJZIJYLEZ9fT1UKhVaWloglUrh7u6Orq4u/j0QCoUQiURob29HXV0dn7nZ3d0dWVlZKC0txdy5c/lr6oMPPsAdd9yBiooK+Pj4QK/Xo7m5Gd7e3qiqqoK3tzcSEhIgEAjQ2tpqcaNkNBrtalSZf356vR5dXV2orKyEXC5HWFgYqqur8dtvvyElJaXPuthcS0sLTp06hSlTpkChUECtVlv8Zmk0GjQ1NQHoHmbXm8bGRuTl5WHatGk0s40ZLjh+LmZBGAqNjY1Yt24dpk6dinnz5oExxv9W97zZXbt2LVQqFe677z6UlJTg008/xapVq/jvWlFREUaNGsVfLxqNBjKZzK6bu96mY2OMWSQJ7E1raytiY2ORn5+PtLQ0XH755Thy5AimT59uVw+BQ4cOYefOnZg7dy6fyJDryszV+xzutS9duhQRERG44YYbEBgYiMbGRnh7e/O/k0eOHIFCoYBOp8O4ceOgVqutxglzSfXMcTfuWq0WcrkcFRXdUw63tLTA398fpaWl+PTTTy3Kej61tbXh1KlTGDduHJRKJT777DOL9fn5+RYBA/PflA0bNuDBBx+EQCDA3r17sX//fn4WDy6Tu/lTfu53jHuo0XNGkPj4eMyZM8fuwJItTU1NOHLkCIKDgxEbGwuVSoWHHnqIT1y5YMECu/KTubm5WU2ZazAYYDAYeh3mY96DYcmSJTAajXxvEpFIhNtvvx3t7e389l1dXfyUoVyZuB4IHR0dFoGNpKQkSCQSdHV18efp2aPBHBcwGEwPgzVr1mDUqFF2PVXnrov29nZ8/fXXmDt3Lt/ozMvLQ2lpKfz8/KDT6fhAQGhoKB8o4XomcPdxMpmMf9hVU1ODkJAQlJaWora21mIa4PPlXA7F5q4je6774uJiFBcX91mepqYmfnrEvjQ0NKCpqYm/BoHua6q3qQ65z9jPz49PaqpUKhEdHc3PwuHi4mIxVa85k8kElUoFnU6HiooKjBo1ih+qYi+nBwz27dsHoLvLiqenp1PH5w1XL730Eg4fPoxp06bh999/5yuJtWvX4u9//zuWL1/O52awhbtZnzVrVp8fnpub24CSDxHH9LyhMh/LxI3lMsc92QdgMee2eRZfAFazXvSk0+kgFov5H3UPDw/o9XowxtDc3AyNRgOTyYS6ujq0t7dj4sSJcHd3R01NDXbt2gU3NzcUFRVBq9XCz88PdXV1vZ7LfByWeYCit2CBQCBAXV0d6urqLH6ozRN2OkNGRsaA9zl06JBTy9AXrgtZS0sLX4FzEVulUmkV/LGlurq6z7mvs7OzLaaaVSqVFjc6QPfNoi3cuDTzpwoymeycRed70zPIxc1535vt27f3ud7V1ZVP6sM9mT179iykUimUSiWam5v5qZD6eq1btmzBpEmToNfr0d7eDpVKBQ8PD4hEItTW1sLd3R2enp7o6OhAfn4+qqqqkJqailGjRvEJpZKSkqBWq/lpzbh1XFDo8OHDmDNnDoKCgtDR0YGvv/4a9fX1CAsLQ0hIiFVAciAaGxthNBotemw0NDRAoVDA1dWVz5otEAhgMBj4sY72GOj2A9HR0YGSkhJER0dbJBYDgGeeecZmUKirqwsdHR38jW9VVRW8vLwgl8v5KaH8/Pwcythtb2+rgUhPT+fLdcUVV6C1tZV/rUePHkVycjKUSiVMJhO6urpQU1OD5uZmvss41zjevXs3MjMzcffdd8Pb2xs//vgjcnJyEB8fz2dOt9WNVKvVoqCgADExMVZJ2RhjeP311xEfH28x/zxjDPX19fj6669xxx13wMPDA21tbUhKSoKrqytKSkqwbds2FBQUQCKR2NWo5hoh5eV/TgXMXe+pqal8AL22tpZvtJaWlsJkMvG/rY2Njejo6ODHz9fX1/PJBn18fPDRRx8hKSnJ4in0d999h23btuG2227jAxTceQ8ePIjKykr+M29paYGLiws/61RJSQn/2kwmE44ePWoxZ3l/eruebH1OOp0OLS0t0Gg02L17N8rLy3Hs2DGMGzcOWq0Wnp6efKO+paUFhw4dwuTJkyESiSx6DDQ1NfG9SbhACNdAbmtrwxtvvGFxHajVar7XV0/19fX8PWjPhg7XC4MbVtyb1tZWfPrpp+js7MTRo0cxZcoUPPzwwxbb/Pzzzxg7dmy/QWBufW1tLfz9u4czlpWV4dVXX8Xjjz8OqVRq1XvCYDDgjz/+4H+XRSKRRcZ7wHI6VfN7He664343ewaAuQY1d7yGhgZcccUVmDp1qs33xGQyISQkxGYCScYY2tvb+w2Uuri4YPny5X1uw+GeFnd0dKC4uBgJCQnw9vbGnDlz8Mcff+CTTz4B0P19iIyMRFxcHLKysvhr0zz3wWeffYYHH3wQIpEIWq2W74Ewbtw4q3rlYqBQKOwKSAgEAiQlJfWbw6C8vJyfupC7dm3h7vHMAwaMMTQ0NEAikVh9D319fTF16lQcPnwY/v7+8PLyglAoRHBwMIKDg6FWq/scWhAZGYmWlhZkZWUhISEBJpOJH7Zk72+h0wMGs2fP5ufvvBTodDp+GpV169ZZRBQfffRRfPrpp0hNTcWJEyd67VI3YsQIFBUV4fjx471Gl8jFr2fWYPNl5nOr9rxBDg0NtcgD0hduahiu4jf/4eprLJN5I4erYDo7O/kMutwT/iNHjqC+vh5CoRBxcXEICgqCTqfDkSNH4ObmhsDAQISGhqKkpARSqZQ/pl6vx7FjxzBy5EgwxtDW1gaFQgGJRAK9Xg+tVgu9Xg+dTofa2lqoVCqEhIQgODgYHh4eaGxsRF1dHZqamtDY2IjOzk60tbVh2rRp/FznHh4eyM3NhVKp5BuGOTk5kMvlEIlEaGpq4jPYck+529raEBcXh7a2NoSEhPBPbOrq6vgb4q6uLoSGhlo16keOHAmDwcBX7hKJBAEBAWhtbYXBYEBbWxtkMhlKSkpQXV2NqKgoxMTE4Mcff+R/wP39/RESEoL8/HwoFApcffXVqKioQFZWFoRCIdrb26FUKlFdXY3w8HC4u7vDYDCgubkZnZ2diIuLg1KpRENDA9RqNby8vNDU1ASxWAxPT0+L99nd3R2tra0wGo18YKSiooKf5lWv18PFxQWurq789cj1eqqvr+efPkilUjQ3N0MoFGL8+PFob29HTU0NfwPi7u6O9vZ2lJeXw8ene3rP6upqBAcHo6mpCTqdDqdPn0ZgYCC8vLxQV1fH91oRiUT8deDt7Q0XFxd4eHhYJPFpaGiAv78/xo0bh7a2NjQ0NEAgECA4OBhfffUV8vPzodPpoNPpUFdXB7VabTXEQywWgzHGBwNyc3MBdDeGuAYRAFx++eWYNm0a3nnnHYtePmfPnrW48QeAjz/+mE/+5ufnB5VKBcYYdDodmpub4efnB1dXV+h0OpSVlSEoKAjl5eXQaDSIi4uDq6srH2iKiYnhv8tcYyE6OholJSUwGAyIiYlBcXExDAYDrr32WrS1tUGr1UKhUMDd3R0ymYwPFEokEj7QodFokJiYiNGjR/M9kBoaGvieMB4eHtBqtdBoNOjq6rLoAWT+OUqlUkgkEmi1WhgMBmzbtg3Nzc3w9fVFSkqKxQ3Ku+++ixEjRqCxsZF/iieVSvlhjEuWLMHhw4dRVlYGhUKBW265BWlpaSgsLATQnfU+JCQElZWVaG1tRWRkJNzc3ODm5ob29nbU1tZCIpHA19cXRqMRBw8eRHp6OkJCQvCXv/yFL6ebmxt0Oh26urqg0WgsgsRdXV38cDCpVAqDwQCRSARfX1++V052djYUCgU0Gg3++9//8sMCqqurERgYiG3btqGqqsqiofPOO+/w/5+eno6vvvqK//vkyZMQCoX89XbmzBls2bIFLi4ufEM6KSkJ8+bNQ0tLCzZs2MAfe9y4cZg9ezY/RK2iogJqtRrHjx9HXFwc39Nn48aNfMPp4MGD6OrqgsFggKenJ3x9fZGeno7GxkYIhULs2rULaWlpfH0SHx+PhQsXoq2tDZmZmYiKioJUKuWT7uXl5eGHH37A9OnT+ad3LS0t+P7771FdXW0R2EtNTQUA/reoubkZO3bsgC3cNIbHjh2z6h3IGMPRo0exc+dOGAwGyOVyGI1GpKWlWWxXVVWFXbt28blDGhoaYDAYUFpaiu+//x4dHR3Izc3F7bffDqPRiI6ODuTk5KC6uhrXXnstnxDu6NGjfDnvu+8+SCQSGAwGqNVqfPnll9Dr9XyvOW4K8czMTL5hKhQKccMNN+DIkSPYv38/xowZgwULFuC1116DVqtFTU0NampqoNFokJCQgJKSEmg0GrS3t8PPzw+bN29GeHg4/13mggHc02HzRnFRUZFVsIALcL///vv8srq6Ov7aLSkpQVpaGoqKirBgwQKMGzcOJ06cgFqtRkJCAv976OXlhS1btkAoFOLhhx/Gzp07ceRId8Lot956Czk5OcjLy8PevXvxr3/9C3PnzuXngvf29ubrA+7eorm5mb8ulixZwpfNYDCgrq6OD9ID3eP3T548iaioKKSlpfFPX4E/cxfYGm/f3Nxs1cu5sbERFRUV/PXIMa/Hi4uLsXnzZv7hXWNjI9/7NDAwEKdOncKoUaP4RjmXt6qpqQlGoxGlpaX45ZdfAAC33347PDw8+B6fQqGQ/w3LyMhAc3MzJkyYgPDwcDQ3N0On08HT05O/L/rjjz+QkZHBP8Th7kH27NmDhQsXYsaMGWhqakJxcTFaW1sxduxYuLu7IykpCZmZmfx9IDdVH9eLKTc3F2PHjkVpaSkEAgF8fX0HPDTpQtLZ2Qmj0WhXEKe/nvFjxoxBSUlJv4H3nkNkgO77bG76XltBDC4pJXefqtFoUFpaivDwcLt67Dc1NfH3os3NzSgvLx9QwEDAnJy5QqVSQSQSWWVIvVjt2bMHc+bMQVRUFH8DY+7FF1/Ec889h+effx5r1qyxWMc9cT506JDFEzmaCYEQQs6Pzs5OCAQCKBQKGI1GmEwmPueHUCjkx/txY0QbGxuhUqng6+vLB7xqamqwefNmJCYmIi4uDkVFRfwYY4lEAqVSieLiYgiFQr6nUHt7O/R6PcRiMbq6uvjgD3dz6ufnB09PT1RUVMBgMEAoFMJoNPJPk8y5uLjAYDDwDcaeT+DkcjlkMpnV/M7micG4YHd/T1AcNWLECJSVlfHBGalUivnz5yMtLY1vqPZMlNYXV1dXfrjNcCASiXDTTTfhxx9/5BtqWVlZ+Pbbb/H999/3ObSsP+PGjeNv+gMCAqymmQO6P8vAwMAB9/oKDg626p7+j3/8A1KpFNnZ2WCMIS4uDmfOnEFZWRkKCwstGlC2XHPNNfjjjz8sGqzcUL6BiouLw4gRI/Drr7/aXG8wGPDee+9ZzX5gr76G4fXG1dXVruTUEyZMQEZGBkwmE1xcXGA0GhEeHo4JEybwY6Hlcjnf64R7f7ggxTfffGP1ef72228wGAxYvny5RY4kTs8eaVyX+Z71hkgk4nML9JzGW6lUQqlUWpxbLBbzvbl64sZeL1++HF5eXujs7MRnn32GjRs3QiqV4sCBA2CM4eeff7ZKwsj1GJLL5ejo6ODrQ7Vajddeew2BgYGIj4/HjBkzbL7HERER+Oijj3qdAYRrUHEYY8jKyrIavmKrzuQakY2NjfDx8UFra6vN+rc/tnpE9CSXy/ljO5JHoqCgwGIqyEOHDln0SG5uboa7uzv/UOj06dMoKChAUlISfv/9d7z99ttQKpV49NFH4e7ujvHjx0Oj0fBBr9TUVISGhto9pO9CodVq+eBWf22vQ4cOwcPDA/Hx8eekLFywSKFQWA1nqaiowNmzZwF091729vZGZ2cn/xChv7JnZmaiubkZEokEISEhcHd3R25uLpYvXw6BQGDRq7U3Tg8YcJEr7unZxe6tt97CqlWrsHjxYnzzzTdW67dv347rrrsON954o9Vcy1zA4ODBgygrK0NTUxNEIlGvFSMhhJCLG2MMBoOh3ynouKf63A0gY4yfcYULZJhMJjDGLLbh8mEIBAJ+GINCoeCDB9xTdr1eD5lMxg+TMu+lIJPJIJFIUFNTw5fDvDHY3t4Oo9EItVoNpVLJBz+A7qd1jY2N8PLyspndnku6WlNTAx8fH747NFduLu8J93SstbWVH9POzUXu6uoKg8HA96YwGo189m9XV1f4+vqiqakJzc3N6OrqQlNTEwQCAby8vCASifhhHdyQMK5R5e/vzw8da25uhl6vh9FohK+vL3x8fPjPjHv906dPR05ODjo7O/neRBKJBCqVCk1NTfD09ERnZye8vLxQWVkJb29vtLe38z2BXFxc4OXlBYFAYDGbjslkglarRVlZGd8zIywsjM8xww134D5HkUiEmJgYKBQKZGVlwWAwwGQyITY2Fl5eXhbJsyQSicXQOlu496yyspLPHl5bW8vPQc41KrgeL/v27cObb76JEydO8E9dpVIpampq4O3tjdLSUowYMQLZ2dmQyWQwmUxwd3eH0WhEdHQ0ZDIZP9SKy9lSWVmJ8vJyLF68GJWVlXwjuaioCF5eXnwQwM/PDxUVFfD19UV7ezsCAgJQWVnJ9/jiPsuSkhIwxuDr6wu5XM5vwwW4FAoFPD09cfbsWWg0Gnh4eMDb2xvh4eHo6upCWVkZjEYj//Q3IiKC74nA5c9xlEajQWFhIVpbWzFz5kxMmDABhw4dgsFgQElJCYRCIXx9fdHQ0ICIiAicOXOG/25x11JDQwPi4uJQU1MDpVIJsViMvLw8NDY28kOlPD09kZmZyWdi52Z+CgsLQ1ZWFjo7OxEcHAyZTIaamhr+MzKZTEhISLDqRp2RkYERI0ZYPJ3W6/WorKyEVqvle1d1dXXxPdu4RvPSpUtRUlICoDtA88UXXyA2NhY1NTV8nebh4YHS0lIsWrQIq1evxgMPPIAdO3bggQcewEMPPYTDhw/jwIED+Oijj/DII48gLi4OOTk5aGhoQF5eHnQ6HV/HjBkzBrm5udDr9VAqlRgxYgQ/xG3v3r1obGyEm5sbZDIZEhMT8eGHHyItLQ2vvvoqAgMDodFooFar+UCQq6sr8vPz0dnZCYPBAD8/P2i1Wmi1WiQlJUGv1yM7O5uvrxsaGviM/UqlEiEhIVAoFMjJyYFOp4OrqysUCgVaWlqg0+nAGINKpUJMTAwaGhqsEgvv37/f7rwcp0+fxpgxYzB27FicOnUKGRkZ8PHxgVqtRkdHB8aPH4/U1FR4eXlddNP66vV6FBUVwd/fv9+8A1zPk74a5yUlJejs7ERsbGyfv+FnzpxBQ0OD1WwIveno6MCZM2cgFosRGxtrEeBXq9X9JpZubGyEyWRCVVUV3N3dERERAeDPdqg9AQOnD0m45ZZbcOLECXzzzTe44447nH34YYcb62QrK7H58p6zRHAKCwsxZswY6PV6/iZFJBLxT7jMu+1xY/i4KVLy8vKsnsiMGDECXl5eqK+vtxhDCHRHjWNiYmA0Gm2OFR89ejQkEgnOnj1r9SQqODgY/v7+aG5utpqHV6FQ8AlquHGc5uLi4qBQKFBaWmo1xtvf3x/BwcFob29HQUGBxTqJRMJXTqdPn7aK7MbExECpVKKystIq0s79kGs0GosuxEB3NJxLJJSTk2MVXY+IiIBKpbIYY8nx8PBAVFQU9Hq9zVkPxo4dC5FIhIKCAqsu6qGhofyNKvdDyHF1dcXIkd1TMtiaBonL+ltcXGwV4eemxmlra7Pq5SKTyfgKITMz02p6L67iqaiosBpG5OPjg7CwMKjVar5LNocb0wZ0V3w9n9BERkbC09MTNTU1Vk9IPD09ERkZCZ1OZzHHM2fcuHEQCoXIz8+3etoZFhYGHx8fNDQ0WI0zdHNzQ2xsLEwmE06dOmV13MTEREilUhQVFVk9IQsKCkJAQABaWlqsum3K5XI+onzq1Cmr7uujRo2Ci4sLysrKrHpW+fn58XP3mic3Bbqf2IwZMwZAd2Xdc+x9dHQ0P682N76Zo1KpEBERAa1Wy3dhM0d1RLcLtY5ob28/J3VEe3t7n3XE6dOne60jtFqtzToiKiqq1zqCG4Z35swZq+8Vl5ugvzqipaXF6vvaVx0RHR3dZx3BNY7Mv1Nc4yo+Pt5mHaHVahEUFARvb2+bdURzczOfbMq8juDqRa1WCxcXF0gkEjQ0NPD1RGNjI/z8/CCXy+Hv78/XEVySaLFYzL9POTk5NuuIUaNGobq6GlVVVRbvo0qlQkJCAl9HcE+nuOP2rCPEYjHfoOG6rvZVR/j5+fHvofmxo6Oj+WVcHTFu3Dh8+umnfBfr5uZm/rvMfQdqamr4hyXp6en8d46r3+Li4uDm5mZRR8hkMv77xw1B4bqtczQaDV9H1NTUWFynTU1NiImJga+vLz/cjfvucInLzOsItVrN5ywSCAR8YKS0tJQvL/cZdXV18Yl4nVVHcO8n1wPBvI4oLS2Fq6srpFIpxo0bx9cR3HvFNUwjIyP5OkIqlSIwMBBGo5GvI7y9va3qiIaGBlx++eUAuu8jdDodP0WneQPG1n0ENwtGb3UE1/ji7iO4oUDmr62zsxMmkwlqtZrvNs7VETKZDHq9HiqVir822traIJFIcPLkSWi1WnR2dqK+vh5+fn78d4traHN1BPd75+bmhqioKIv7CH9/f348OncfsWLFCn6GDi75bXBwMH8fwb1WLpDKGON/U7g6wnyYZ3JyssV9hPlnEBAQwN9HcEMKge7G4unTp20mkiwsLIRCobDrPoKr83U6HU6cOAHGGGpqajBixAioVCrk5eVBqVRCr9fz19XFdh/BBQv6uo+IiopCTU2Nxe9vz/uIqqoqVFdXo7KyEr6+vr3eR5w4cYL/zeDuIxhjyM7OhlKpxJgxY6zqCIFAgPT0dDQ3N/PD/6urq9He3s4PTQS67yNmz55t1SPRaDTygXSBQACtVovy8vJ+A8Q85mR6vZ5Nnz6dubu7s+3btzv78MPOPffcwwCwZ555xub6goICBoDFxMRYrYuPj2cikYgBsPjn4eHB4uPjWXR0tNU6849s6tSpVuu2bNnCGGPsvffes1o3b948xhhjra2tNo9bV1fHGGNs/vz5VuveeOMNxhhj33zzjdW68ePH82WSSqVW67OyshhjjK1YscJq3VNPPcUYY2zPnj1W64KDg/njBgcHW63fs2cPY4yxp556ymrdihUrGGOMZWVlWa2TSqX8ccePH2+1/ptvvmGMMfbGG29YrZs/fz5jjLG6ujqb72FraytjjLF58+ZZrXvvvfcYY4xt2bLFat3UqVP5Mtk6bkFBAWOMsdtuu81q3fPPP88YY2zHjh1W66Kiovjj+vj4WK0/ePAgY4yxVatWWa174IEHGGOMnThxwmqdUqm0uI57rv/hhx8YY4z9+9//tlq3aNEixhhj5eXlNl+rVqtljDGWkpJitW7Dhg2MMcY2bNhgtS4lJYUxxphWq7V53PLycsYYY4sWLbJa9+9//5sxxtgPP/xgtS4+Pp5/rUql0mr9iRMnGGOMPfDAA1brVq1axRhj7ODBg1brfHx8+ONGRUVZrd+xYwdjjLHnn3/eat1tt93GGPuzfun5j0N1xB7GGNURVEcMbR1x6NAhxhjVEeeqjuBez6VQRwBgiYmJl0Qd0de//uqIvLw85u3t3ev+jA2vOmIw9xEdHR29vk576ojff//d5r5nzpxhp0+fvijqiL7uI/z9/VlJSUm/dcTjjz9utW4wdcTnn38+qDqio6ODJSUlWa177733WHx8vM3XIpfLWXx8vMX3zfza7IvThyS88MIL0Gg0WLduHTo7O5GQkIDk5GT4+fn12SXrueeec2Yxzpt7770XGzZswDPPPMNPHWOusLAQMTExiImJsXrCmJCQAIPBgC1btqCoqIiPJM+dO5eeHuLifXpIPQyohwFAPQzMUR3RjeqIbhdLHXHzzTfzY/49PDyojjgHdcTf//53HDp0CFqt9qKvI9rb2zF79mzExcVh//79F30dYZ4o/LfffrOY+s6eOiIwMBB1dXX44osvcOutt2L8+PF8LhH2/+PFh7qO4AzmPmLUqFFWQ8C3bNmC+Ph4u+qI7OxsJCYm4oorrsCaNWuQnZ2N4OBgXHPNNQC664h9+/ZBoVDwr+FCqiOA3u8jurq6+BmQpk6d2mcdsXXrVjQ3N1tclz3rCK5M3PCx3uoIjUaDkJAQhIeH21VH1NbWoqKiAu7u7ggLC8PkyZNhNBrx7bffoqOjw6JMtu4jCgoK0NbWBrlcjvHjxyMxMREnT57E4sWLIZfLhyaHATdXt/lh7cnA6EiSj+Hg0UcfxZtvvolVq1Zh7dq1VuszMjIwbtw4TJgwASdOnLBYx1XAf/zxB4qKihAeHg6DwWDXPLWEEEIIGb7GjRuHjIwMPrklIYOhVqvh6upq8wHUxci87dDa2tpvFvuegoKCUF1djbKyMmzatAk333wzRo0aBQD9Jqy8kLD/T9Br7ujRo3bPusa1Ux544AGsW7cO5eXlcHNzs8gxc+jQIYSGhvY6/PpCZTKZ0NHRARcXl37r6NzcXKjVaj7YaktWVhYaGxsxceJEq8SF5vbv3w+j0Wh3kntuGNLp06cRGxvL5ywwmUwwmUz9lt1gMECj0SA3Nxfh4eH8/kOaw2DWrFlOn994OOMa9+bjR8xxy82ztPbEZbcWiUQWU8IQQggh5MLE3Qv1vJknxBHcU+QL9QHbYCiVygHvwzWiRCIRnnvuOaseOhcLW22u/pLmmktMTMRTTz2FJ554AlqtFjKZzGoaxZ5TmF4shEKh3YEoLtjUl6CgIDQ2NvJT9fbGVsJfoDuxolAoxMyZMy2Wc0k+g4ODLWZTaWtrs+u7wU3pzBgbcOCNP4ZDe/Vh7969zj7ksDZ27FgAtrt/mS/nuhXawlVqubm5aG1tRWxsrJNLSQghhJDziQsUXEoPUci5ww3rvRQDBo58h6Kioiy6y19KvXwGEqQUiUR4+eWXAQB1dXXIyclBUlISXFxczlXxhg2DwYADBw7A1dUVkyZN6nPburo6SKXSPmdT8PLysqvXAPdkvyexWAxfX1+r5c3NzcjMzMTYsWP5AIFWq0VmZibc3NwshiTYwk3L6OPjA51Ox88yNBAU9h6k5ORkeHh44OzZszbHO23duhUAMH/+/F6PoVKp+J4KPccYEUIIIeTCw2WfpoABcaZLMWDgiPfeew9XXXUV3wC7lHr69MyRYC8fHx+IRCKrXBQXK+596qs3ACcnJ8dmTgZzbW1tVvlBbKmtrbXKnwF0tyltPTTm8oaY95JRKBQICwuzyl9hi06ng4uLCzo6OqxyTtjr0vn2nCNSqRQPPvggAOBvf/ubRfKgtWvXIjMzEykpKX1GfxobG1FWVoZZs2ZZdUMhhBBCyIVn48aNSEtLG+pikIvIyJEj8Z///Geoi3FerVixwqH9EhIS8Ouvv/Ld8ylw1z8uESU35d/FTiqVIiUlxa7hBhMmTOCTLvamvLwcmZmZ/FSbvcnNzbVK6gh09yTomQwZAHx9fZGSksJP7wl0f1YRERFITEzst+yRkZEYOXIkDAZDn0Pk+3Lp9M85h5599lns2rULBw8eRExMDGbOnInS0lIcOXIEvr6++Pjjj/vcn4sWc91NCCGEEHJhc3Nzw4wZM4a6GOQi0nOmgUvBxo0bh7oIFxypVOrQfm1tbaioqOBn27gUqNVqMMbg6ura53ZKpbLffAGxsbGQSCT9vv+jRo2y2VMoMzMTAOwa1qDT6VBaWorg4GC7ho80NTXB09PTrh4JtpyzHgYVFRV49NFHkZCQADc3N6uxQ83Nzfj3v/+Nl19+2WqKlguNXC7Hnj17sHr1ari4uOD7779HaWkp7rzzTpw8eRKRkZF97q9UKiEUCtHS0oLU1NTzVGpCCCGEEELIxcTR3hQmkwn19fVWU0ZerAwGA44dO2Y1i50tWVlZNoeem5NIJPw0o33x9/e3meQ+NjbW5oPj6upqpKamWkz9ajKZUFVVhWPHjvVb9pycHJSWlqKtrc3h4SbnpIfBzp07sWTJErS1tVnMSWlOpVLh+++/x4kTJ5CQkIDrr7/+XBTlvFEoFHjhhRfwwgsvDHhfgUCAoKAgNDQ0WM1DSwghhBBCCCH2cDRg4OnpCaVSecm0RQQCAby9vREQENDvto2Njf1uU1VVhebmZowaNYpPUjoQvQ0FUSqVEIlEFj0J5HI5xo8fD7Va3e9xfX19oVKpUFNT4/BsIU7vYVBeXo5FixahtbUV8+fPx9atW3udPmL58uVgjGH79u3OLsYFpb29HRUVFZgyZYrdc3ISQgghhBBCiLnB5GuYMGECgoODnVia4UskEiExMRE+Pj79bjtjxgxMnz69z226urrQ0NBgV+JDW06ePInCwkKr5dzwtp5DItzd3e0Kdvj4+EAul6O1tdWu7W1xesDgjTfeQHt7O5YsWYLvv/8eCxcu7HUsx5VXXgkAdnWnuNgJBAIYDIYLfngGIYQQQgghZGg4OiNEQ0MD9u3bB71e7+QSDU+MMRQXF6OysrLfbQUCQb/va3h4OMaOHQsPDw+HytPe3m6zLF1dXSgrK7P4XLq6upCamoqSkpJ+j9vR0YHs7GyMGDHCoSkVgXMwJOG3336DQCDAiy++2O+2ERERkMlkNjNFXkp8fX3h7u6OAwcOALAv2QUhhBBCCCEXo5ycHKv8Z8Q+jvYwcHV1BWMMtbW1CAkJcXKphh+j0YiysjKIxeJ+e1VwM9701UYTCoXw9PR0uDy9HbuhoQHFxcWQyWT8TAnckIfS0lKMGDGiz+OWlZXBYDCgpKQEGo3GrlkhenL6N7GsrAwKhYKff7g/bm5uaG1tdXYxLigtLS0oLi5GZGTkJRPVI4QQQgghxBZHGjWkm6MBA4VCgbCwsH5nDLhYiEQijBkzxq7X6+fn1297NT8/H9XV1Zg8eTIUCoWzigl/f3/IZDKLngtisRjJyckwmUz97h8dHY3Q0FDk5uY6HNBwesBAKBTanCrCFoPBgLa2Nri7uzu7GBcUvV4PrVaL0NDQoS4KIYQQQggh5ALlaMBAp9NBqVQ63KX+QiMQCHrNs9dTXFxcv9uoVCpUV1dDq9U6FDBITU3lAwHmxGKxVZ4Fk8kEtVpt15SKUqkUWq0WRqPR4Ta303MYhIeH82Mt+sONk7G3N8LFSiQSQS6Xo6ysDEVFRUNdHEIIIYQQQsgFyNGAQVtbG7Kzs6HRaJxcouErNTXVrmkV7eHr64uUlBS7gxA99RbAaG5uRmpqKjo6Ovhler0e6enp/U71CHRPy5ieng6VSmVXjwRbnB4wmDt3LgDgww8/7HM7vV6PZ555BgKBAFdffbWzi3FB8fb2RkJCAoqLi1FeXj7UxSGEEEIIIYRcAC6//HKLvx1Neujl5QWge8z8pYQx5pTjdHZ2OjxDAgDMmjUL8fHxVst1Oh0AWEyJKJFIEBgY2OvEAua0Wi2EQiGampocbmcKmLPepf9XWlqKUaNGwWQy4f3338eKFSsQGBiIuro6fqjCyZMnsWrVKqSlpcHd3R2FhYV2TWlxsUlISAAA7Ny5EwUFBZgxYwYYY5TkhRBCCCGEECfinrw7uekzLJj3KigtLUVYWJhDx2lra4NUKnU4m/6lLCcnB3V1dRg/frxDXf/b29shEonsGmYwUJ2dnTh16hQSExP5ISdcOzQ7O7vf/c/JkISNGzfCaDTi3nvvhb+/Px9tmT59OoKDg5GUlIS0tDSIxWJs3rz5kgwWmOO6h4hEIgoWEEIIIYQQQhzi6JCEjo4OVFVVXVJtEY1GA61W65RjjRgxAj4+Pg6/fydPnsSxY8fs2tZoNKKoqAidnZ12bd/U1AQPDw+HA0FODxgAwG233YZff/0VUVFRqK+vh06nA2MMhw8fRnV1NRhjiI6Oxo4dO3D99defiyJcUJRKJUJCQnDkyBGkpqYOdXEIIYQQQgghF4gdO3bw/+9owMBoNKK2tvaSmr3u6NGjOH78uFOOpVAokJCQ4HAPgcjISP6pv7mqqiqkpqaiqamJX2YymVBeXm5X2QsLC1FUVAS1Wu3wkIlzFkK64oorkJeXh3379uHAgQOoqqqC0WhEQEAAkpOTcdlll/FzSF7qhEIhRCIRoqKiYDAYhro4hBBCCCGEkAvElVdeiaCgIFRVVTkcMPDw8IBCoXDaE/cLQVJSksPvV0/19fWor6/HqFGjHMoj0dtsedy0j+b5CiQSCcaMGWPXZ+Xp6QmZTIb6+nqo1eoBlws4hwEDoDvClZKSgpSUlHN5mgteW1sbSktL6X0ihBBCCCGEDBjXoHQ06SEATJ482VnFuSA4M19AW1sb6uvrERQUBE9PzwHvf/r0abi5uSEiIsJiuYeHh802or2zMfj4+KCjowNFRUWIjo4ecLmAczQkgQyMQCBwWnSLEEIIIYQQcmnhxqc72qZoamrC/v37LbLxE/uNGDECo0eP5nsEDFRTUxPKysqslnd1daGmpsaiF7rBYEBqaipKS0v7Pa5Go0FWVhbCw8MdDpAMqIfBfffdh+uuuw7XXHMNDSdwIm9v73OSEZMQQgghhBAC3HPPPQgICBjqYpwzMpkMgOMBA4VCAaPRiMbGRgQFBTmzaJcEkUjET03piN56mtfU1KCkpARisZifKIDrRVJSUoLw8PA+j1tWVoauri6UlpZCr9cjJiZmwGUbUMBgw4YN2LhxI3x9fXH77bfjzjvvRGJi4oBPSiy1tbWhrKwMEydOHOqiEEIIIYQQctFZv379UBfhnHJGwCA4OJimVHRQcXExysrKMG3aNIt8A4MVGBgIiUTCT4cIdAcMpk+fDqPR2O/+I0aMQGBgIHJzcx3u/TDgIQlz5syBVCrF2rVrMXbsWEyePBkffPABWlpaHCoAAXQ6HTo6Ooa6GIQQQgghhJALEBcwcDSHgV6vh7e3t0Pj78mfQ0IcTRqZmpqKQ4cOWS2XSqUICgqCRCLhlzHGoNPp7JrCUSaTQSwWw2AwQKlUOlS2AV9Rd911F0pLS7Fjxw4sWbIEWVlZ+Nvf/obAwEDccsst+O2338AYc6gwlyqRSGRxERBCCCGEEEKIvQbbw6C9vR2ZmZnQaDTOLNYlIzAwECkpKXB3d3f4GLaGqDc3NyM1NdXiczGZTDh+/DhOnTrV7zHr6+tx7Ngx+Pn5OZxSwKEQlEAgwLx58/Dll1+ipqYGH3zwAcaNG4dvvvkG11xzDUJDQ/HMM88gPz/foUJdagICAjB9+vShLgYhhBBCCCHkAsQFDBx9cMt1eW9sbHRamS4lXV1dg+pxn5KSgrFjx1ot7+zsBGDZc0EoFMLb29uuHgZcL/ba2lqUl5c7VLZBz5Lg7u6O++67D4cOHUJubi4ef/xxAMDLL7+M+Pj4wR6eEEIIIYQQQkgfuC7xjs5yIBKJMGbMGPj5+TmzWJeMsrIyZGRkQK1WO7S/RqOx+dmFhIQgJSXFYhpFgUCAxMREjBs3rt/jRkREYMqUKRAIBHzSxIFy6rSKsbGxeOWVV1BWVoZffvkFixcvdubhCSGEEEIIIYT0sGrVKri7u8Pb29uh/dVqNRoaGmgmPAcFBATA3d3d4RwSR48exYkTJ+zaljGGkpISu3LgMcbQ3NwMpVIJhULhUNmcGjDgDyoU4qqrrsKXX355Lg5PCCGEEEIIIeT/JScno7W11eFZDgwGA6qqqtDW1ubkkl0alEolxo8f7/D7P2XKFCQlJVktr6ioQGpqqtXnUlpaaleAoaSkBPn5+YNKsj+ggMGyZcsQFRXl0IkIIYQQQgghhAw/7u7ukEgkDmf5v9S1tLQgJyfH4RwScrncZhJ8rleAeb4CbkhCTExMv8dVKpUIDQ0F0J3Y0hECRlMaDJmEhAQAQHZ29hCXhBBCCCGEEEKII86ePYuKigpMmjQJrq6uQ10cCxqNBkePHsWYMWP4XAgDaYeekyEJhBBCCCGEEEIuDK2trTh06BD1MHBQWFgY4uPj+dkqnEWn06GxsRFGo9Fi+YEDB1BaWtrv/lqtFtnZ2QgPD4ebm5tDZaCAASGEEEIIIYRcwmQyGXQ6HZqbm4e6KBckiUQCX19fu6Y6HIiKigpkZWVZDScwGAwoKSnpd//y8nJ0dnairKxs6KZV7E1aWhpeeOGFc3V4QgghhBBCCCFOIJfLERAQ4PQn5JeKyspKpKamQqfTOfW4gYGBGDFihNUwh6lTp9pMkthTaGgon4zR0c/2nAUM9u3bh3/+85/n6vCEEEIIIYQQQpzAYDAgMDAQnp6eQ12UCxKXFlCv1zv1uAqFAuHh4VYJEU0mE6RSab/7c4ECnU4HFxcXh8pAQxL+X2dnJ7Zs2YKHHnoIU6ZMgUwmg0AgwJo1a/rdt6KiAnfddReCgoIgl8sRGxuL559/nsYAEUIIIYQQQoa9jo4OpKenQ61WD3VRLkghISFISUlxuFHem+bmZuzfvx9dXV0Wy48ePYr09PR+929oaMDhw4cREhLCz7gwUAMaZLF8+XK7t83IyBhwYYZSQUEBli5dOuD9CgsLMW3aNDQ0NCAxMREzZ87E8ePH8cILL2D37t3YvXs3de0hhBBCCCGEDFtKpRJAdwPV0eR4lzK9Xg+NRsO/j87S2toKo9GIrq4uizalvefp6OgAAJSVlUGv19s1FWNPAwoYfPLJJxAIBHbPLykQCAZcoKGiVCqxYsUKJCUlISkpCdu3b8dzzz3X73533nknGhoasHLlSrz99tsAurv0LFmyBNu2bcPLL79sVy8FQgghhBBCCBkKIpEICQkJw25KwAtFeXk5ysvLkZSU5NReBiNGjMCIESOslk+YMMHu/YODg3Hs2DF4eHg4VIYBDUnw9/fHtddeC41G0+8/exrbw0lUVBQ2btyI++67DxMmTLAaJ2LL0aNHceDAAfj5+eE///kPv1wsFuODDz6ARCLBO++8A4PBcC6LTgghhBBCCCEO02q1aGtrg0gkGuqiXJC8vLygUCicPktCbyorK61mTrCFMYaWlha4ubmdnxwGkyZNwsmTJyGTyfr9Z0+D+0K3fft2AMD8+fOthh34+/tj5syZ/LgTQgghhBBCCBmO9Ho9ysvL7WqEEmuenp6YPHmyXYkIB6K8vBypqano7Oy0WF5YWIiTJ0/2u39ZWRnOnDnDD2twxIACBhMnTkRVVRWqq6v73dbDwwNhYWEOFepCweVp6K1LCLc8MzPzvJWJEEIIIYQQQgZCqVRCIBBQ0nYHdXZ2orCw0Ok9y7mH0kKhZbM9Li4O0dHR/e7v6uoKf39/GAwGtLa2OlSGAQUMHn/8cRQXF8PHx6ffbR988EEUFxc7VKgLRVlZGYDurJi2cMtLS0vPW5kIIYQQQgghZKBmzZqF4ODgoS7GBUmj0aCyshImk8mpx/Xz80NKSorVDAd+fn52fVY+Pj6IjIyEWq2Gu7u7Q2UY0CALV1dXSoRhhss62dt4EO696qtrz9mzZ5GQkGDX+bKzswdYQkIIIYQQQgjpW3t7O3JycjB69GiHp9+7lPn4+GDWrFlOT/pvMBigVqvh5uZm0cvg+PHj8PX1RXh4uMX2PduVjDF0dXVBJBJBLBbz5Tt79iyioqLsKsP5ycpwHtx4443IyckZ0D6bN2/G5MmTz1GJCCGEEEIIIWT4k0gk0Gg0aG1tpYCBg87FDIG1tbUoLCzElClTIJfL+eWdnZ3o7Oy0Chj0pNfrYTKZ+J4PjuQZdErAQK/XY+LEifjXv/6F+fPnO+OQA1ZcXIy8vLwB7aNWqwd1Tm6O0t6OwyWn6GuezKioKOo5QAghhBBCCBkycrkcPj4+Tk/aRwYnKCgIKpXKIlgAAJMnT7Y5/KFnu1Kj0aCrqwv5+fkIDAxEaGgoAOueCH1xSsDAZDIhKysLzc3NzjicQ06dOnXezxkWFob09HRUVFTYXM8t7y/yQwghhBBCCCFDxWg0Ijw83OGp98i5IRAIbH4mIpHIruCOQqHge4/0DDrYa0BJD4mlsWPHAkCvU1pwy8eMGXPeykQIIYQQQgghA9HZ2YkTJ04Mugc2OT8OHTqEEydO9LtdY2MjDhw4gOjoaHh4eDh0LgoYDMK1114LAPjpp5+s5rWsra1FWloaVCoVkpOTh6J4hBBCCCGEENIvLll7S0vL0BaE2EUul1tNtWgLl3y/sLCQn+FvoChgMAiTJ09GcnIy6urq8OSTT/LLDQYDHnjgAej1eqxcudKh5BKEEEIIIYQQcj6IRCKMGjUKXl5eQ10UYocpU6Zg0qRJ/W43YsQIzJgxAxKJxOHZDi+aWRKc4cYbb0R1dTUAoKqqCgCwceNG7NixAwAQGBiIbdu2WeyzadMmTJs2DW+//Tb++OMPxMfH49ixYygqKsL06dPxj3/84/y+CEIIIYQQQggZgK6uLmg0GqhUqqEuCrFDbW0tFAoF3N3d+9zOZDKhvb0drq6uDuenoICBmfT0dJSWllosq6ysRGVlJQDbyQtjYmKQnp6O5557Djt27MC2bdsQFhaG1atX4+mnn4ZMJjsvZSeEEEIIIYQQR+j1epSWlsLNzQ0+Pj5DXRzSj9zcXABASkpKn9tVVlaiqKgIKpXK5qwK9qCAgZmSkhKH9gsNDcWmTZucWxhCCCGEEEIIOQ+46eL1ev0Ql4TYIzY2Fkajsd/tFAoFVCoVNBoNWlpaHOpBQgEDQgghhBBCCLnEzZgxAwKBYKiLQewQGBho13Y+Pj7w8vJCWlqaw0MSKOkhIYQQQgghhFzCOjs7kZ6eDo1GM9RFIXbIzMy0a9YDnU6HvLw8hIWF9ZvvoDcUMCCEEEIIIYSQS5hIJEJnZyc/DR8Z3pqbm1FcXNzvduXl5airq0NlZSUaGxsdOpdThiTIZDIUFxdTggxCCCGEEEIIucDIZDKoVCpIpdKhLgqxw8SJE8EY63e7oKAgqFQqFBQUDH3SQ1szCBBCCCGEEEIIGd4YY4iJiaEZ3i4QCoXCrnwTCoUCcrkcWq3W4WAQDUkghBBCCCGEkEuYWq3G0aNH0dnZOdRFIXbYv38/jh8/3u92TU1N2LdvH2JjY+Ht7e3Quc7ZLAktLS2oqqrix8EolUoEBQXB09PzXJ2SEEIIIYQQQsgAyeVyAEBbWxuUSuUQl4b0Ryy2rxnPtcXz8/Oh0WgQGRk58HMNeI8+7NmzB5s3b8bvv/+Ompoam9sEBARg3rx5WLp0KS677DJnnp4QQgghhBBCyACJRCLExMTQw90LRHJysl3bhYeHIzw8HAcPHnR4uIlThiS0trZi/vz5mDt3LjZv3ozq6mowxmz+q66uxubNmzF37lzMnz8fra2tzigCIYQQQgghhBAH6PV6GI1GiESioS4KsUNDQwPa2tr63c5kMqGjo4PPZeCIQfcw0Ov1mDNnDk6dOgXGGCIiInDVVVchMTERwcHBcHFxAdA9LqayshJZWVn47bffUFRUhF9++QVz587FoUOH7O5WQQghhBBCCCHEefR6PYqKiiCXy+Hr6zvUxSH9yM7OBgCkpKT0uV11dTUKCwvh6+vrcHt70K30d999F+np6XB3d8eHH36IW265xa79vvnmG9x77704efIk3nvvPTzyyCODLQohhBBCCCGEkAFSKBQAAKPROMQlIfawNxeBTCaDi4sLWltb4eLiAg8PjwGfa9BDEr766isIBAJs2LDB7mABACxZsgQbNmwAYwxffPHFYItBCCGEEEIIIcQBAoEA06ZNg5+f31AXhdghNDQUoaGh/W7n4+ODpKQk6PV6SCQSh8416IBBfn4+ZDIZFi9ePOB9Fy1aBLlcjvz8/MEWgxBCCCGEEEKIA7RaLbKzs6FWq4e6KMQOeXl5KCsr63c7nU6HwsJChISEOJzQctBDEgaTHEMgEEAoFMJkMg22GIQQQgghhBBCHCAQCNDW1oaOjg64ubkNdXFIP7gZCcPCwvrcrrKyEpWVlZBIJFAoFHB1dR3wuQbdwyAiIgJqtRp79uwZ8L5//PEH1Go1IiIiBlsMQgghhBBCCCEOkEqlcHd3h1QqHeqiEDuMHz8e48eP73e7gIAAxMfHQyQSQa/XO3SuQQcMFi5cCMYY7rjjDhw9etTu/Y4dO4Zly5ZBIBBg4cKFgy0GIYQQQgghhBAHCAQCJCQkONxtnZxfSqUSSqWy3+0UCgV8fX2h0+kgFDrW9BcwxphDe/6/jo4OjB49GqWlpRAIBLjssstw9dVX9zmt4o4dO7Bnzx6YTCZEREQgMzPToe4RF7qEhAQAf06LQQghhBBCCCHnm1qtxrFjxzBu3DiHMumT8ys1NRUymQxTp07tc7uWlhZkZGRg1KhR8PLy4hMfDqQdOugcBm5ubti7dy/mz5+PrKws7Nmzp9/hCVyMYvTo0fjxxx8vyWABIYQQQgghhAwHYnF3s7Czs5MCBhcIe577t7W1AQByc3MRHh6OESNGDPg8gx6SAADh4eFIT0/Hhg0bMGPGDAgEAjDGbP4TCASYOXMmNm7ciJMnTyI8PNwZRSCEEEIIIYQQ4gCxWIyoqCgaknCBSElJwbRp0/rdLjQ0FLNmzYJMJnN4ooJB9zDgiEQirFixAitWrIBGo0FOTg6qqqrQ3t4OoHucRVBQEOLi4qBQKJx1WkIIIYQQQgghg2AymSAUCh1uVJLzq6WlBUKhEO7u7n1uxxhDV1cX5HI5ZDKZQ+dyWsDAnEKhwIQJEzBhwoRzcXhCCCGEEEIIIU6i0+lQUFAAsVgMPz+/oS4O6UdGRgaA7p4GfampqUFBQQECAgIcfmh/TgIGhBBCCCGEEEIuDI4+fSZDIyQkhM870RepVAqRSITa2lrIZDK7ZlboySk5DAghhBBCCCGEXJiEQiGmTJkCb2/voS4KsUNUVJRduQB9fHwwY8YMPnDgiCENGHR2dmL58uVYsWLFUBaDEEIIIYQQQi5ZOp0OeXl50Gg0Q10UYofi4mKUl5f3u51er0dpaSn8/f0dnv1iSAMGWq0Wn3zyCT755JOhLAYhhBBCCCGEXLIYY2hpaUFHR8dQF4XYoa6uDk1NTf1uV1lZiZKSEtTU1ECr1Tp0LsphQAghhBBCCCGXMIlEAjc3N0il0qEuCrHDlClT7NrO398fcrkcLS0tEAgEDp2LAgaEEEIIIYQQcgkTCoUYO3YsTat4kVEoFFAoFAgICHD4GIMOGLzwwgsO76tWqwd7ekIIIYQQQgghg9DV1YUjR45gzJgxUKlUQ10c4iQtLS3IyMjAhAkTHJohAXBCwGDNmjUOd28YTnJzc/HDDz9gx44dOH36NFpbW+Ht7Y3p06dj1apVmDlzZq/7VlRUYPXq1fjtt9/Q1NSEsLAw/OUvf8E//vEPyOXy8/gqCCGEEEIIIWRguPaco+PcyfDU3t4OAINqrwsYY2wwhRAKhRAIBPD39x/w/J0mkwnl5eUQCAQwGo2DKcaghYSEoLKyEm5ubpg6dSq8vLxw5swZZGVlQSAQYO3atXjkkUes9issLMS0adPQ0NCAxMRExMfH4/jx4ygqKkJycjJ2797d6/uSkJAAAMjOzj6XL40QQgghhBBCesW1y3x8fODq6jrUxSFOYjKZYDKZIBKJLIIGA2mHDrqHQVhYGMrLy/HWW29hyZIlA9q3oaEBfn5+gy2CU4waNQovv/wyFi9ebNEr4L///S/++te/4rHHHsO8efMQHx9vsd+dd96JhoYGrFy5Em+//TYAwGAwYMmSJdi2bRtefvllrFmz5ny+FEIIIYQQQgixG2MMMpkMYjGluLuYCAQCmEwm/iG/IwY9reLEiRMBACdPnhzwvsNpKMOuXbtwxx13WA0huO+++zBv3jwYjUb873//s1h39OhRHDhwAH5+fvjPf/7DLxeLxfjggw8gkUjwzjvvwGAwnJfXQAghhBBCCCEDpdPpkJeXh9bW1qEuCnGimpoaHDp0aFCf66ADBhMmTABjzKGAwYVi7NixAICqqiqL5du3bwcAzJ8/32rYgb+/P2bOnInm5mbs37///BSUEEIIIYQQQgaI61kwnB7oksHjpsl0cXFx+BhD2sNAJBIhLCwM4eHhgy3GOVVUVAQAVtNRZGRkAOgOmtjCLc/MzDyHpSOEEEIIIYQQx4nFYkyaNIlmSLjIeHt7IyUlZcC5Bs0NepBKSkoK9uzZA6B77MtAolKenp4oKSkZbBHOqbNnz+Lnn38GAFx//fUW68rKygB0J0y0hVteWlra5/G5pBP9oeSIhBBCCCGEEGczGAwoLi5GeHi4w9PvkaHXs13JGIPRaLRKenj27FlERUXZdcxBBwwUCgVSUlIGe5hhyWAw4M4770RXVxduvvlmvjcFp6OjA0DvXTy4DKPcdBaEEEIIIYQQMtwYjUY0NjbCx8eHAgYXEYPBAL1eD5lMBpFI5NAxLpo0mDfeeCNycnIGtM/mzZsxefLkXtevXLkS+/fvR2RkJN5///3BFtGmqKgo6jlACCGEEEIIGTIikQgKhWJQXdfJ0OvZrtRoNGhubkZAQACEwj+zEdjbwx24iAIGxcXFyMvLG9A+arW613X/+te/8MEHH8Df3x+//fYbvLy8rLZxc3Pr8zidnZ0AQFE6QgghhBBCyLAlFouRlJQ01MUgTqZQKKBQKAZ1jEEnPRwuTp06BcbYgP7Nnj3b5rE+/PBDPPvss/Dw8MCOHTsQHR1tc7uwsDAAQEVFhc313PLhntSREEIIIYQQcunS6/XYt28fmpqahrooxIlaW1uRmprKD6V3xKACBq+99ho0Gs1gDmHl+PHj+PXXX516zIH46quv8Le//Q0uLi7Yvn07xo0b1+u23HSLvc0QwS0fM2aM08tJCCGEEEIIIc7AGAPQHTggFw8uUGA0Gh0+xqACBk8++SQiIyPx5ptvoqWlZTCHwv79+3HddddhypQpOHbs2KCO5ahffvkFS5cuhVgsxrZt25CcnNzn9tdeey0A4KeffkJXV5fFutraWqSlpUGlUvV7HEIIIYQQQggZKmKxGKGhoTSU+iITGBiIadOmwd3d3eFjDCpg8PTTT6OtrQ2PPfYYAgMDsWjRInz77beoq6vrd1+9Xo9jx45h9erViIqKQkpKCn755RckJSXhhhtuGEyxHHLgwAEsWrQIjDF8/fXXmDdvXr/7TJ48GcnJyairq8OTTz7JLzcYDHjggQeg1+uxcuVKSCSSc1l0QgghhBBCCHGYSCRCZGQkP8sbuTgIBAKLZIcOHYNx/U8cVFlZiaeffhpffPEFjEYjP79jaGgoxo4dC19fX3h5eUEmk6G5uRlNTU0oKipCRkYGdDodgO4uMFFRUXjxxRdxyy23DOoFOUqlUqGlpQURERGYNWuWzW1mzJiBu+++22JZQUEBpk2bhsbGRowePRrx8fE4duwYioqKMH36dPzxxx+9ZhvlslPSLAmEEEIIIYQQQpyppqYGeXl5GDNmDFQqFb98IO3QQQcMOFVVVVi/fj0+/vhjiySAXADBHHdKsViMa6+9Fvfddx+uvPJKm9ueL/ace9myZfjkk0+slpeXl+O5557Djh070NTUhLCwMPzlL3/B008/Dblc3uvxKGBACCGEEEIIIeRcaGxsRFZWFpKSkuDi4sIvH5KAgbmsrCzs27cPR44cQVVVFerr66HVauHt7Q1fX1/Ex8dj1qxZSE5OvqTHyVDAgBBCCCGEEELI+TTkAQNiHwoYEEIIIYQQQgg5F/R6PRobG+Ht7W2RV28g7dDBZUAghBBCCCGEEELIsMPlMGhtbXX4GGInlocQQgghhBBCCCHDgI+PDxhj8PT0dPgYFDAghBBCCCGEEEIuMgqFAmFhYYM6xrAaklBRUYEdO3bg9ddfH+qiEEIIIYQQQgghF6y2tjbs378fnZ2dDh9jSHoY1NbWIjs7G1lZWcjKykJ2djays7PR3t4OxhgEAgEee+yxoSgaIYQQQgghhBBywevo6IDRaIROp4Orq6tDxzjnAQO1Wo2vvvoKJ0+e5IMDTU1NAABuggZ/f38kJSVh9OjRSExMxOjRo891sQghhBBCCCGEkIuWv78/VCoVZDKZw8c45wGDW265Bdu3bwdjDF5eXhCJRGCMISAgAB9++CGSk5Ph7e19rotBCCGEEEIIIYRcMoRCIeRy+eCO4aSy9GrXrl244YYbUFFRgYaGBhQVFeHRRx9FQ0MDHnjgAaSmpp7rIhBCCCGEEEIIIZeUuro67Nu3Dy0tLQ4f45wHDIKDg7Fo0SIEBQUBAFxdXfH666/jxIkTCA8Px+LFi7FgwQJUVFSc66IQQgghhBBCCCGXBIlEYvFfR5zzgEFBQQH+8pe/WC0fPXo0Dhw4gPXr1+PgwYOIi4vDm2++CZPJdK6LRAghhBBCCCGEXNS8vLyQkpICNzc3h48x5NMqrlixArm5uVi8eDEee+wxJCUl4cSJE0NdLEIIIYQQQggh5IKl1+tRX18Pg8Hg8DEGHTB49NFHsW3btkEdw9vbGx9//DFSU1Oh0+kwderUwRaLEEIIIYQQQgi5ZLW1teHMmTPQaDQOH0PAuLkNHSQUChEYGIjKysrBHIZnNBrx5ptv4rHHHnPK8YazhIQEAEB2dvYQl4QQQgghhBBCyMVGrVbDxcXFYtlA2qFOGZLQW8zh+++/R0FBwYCOJRKJLolgASGEEEIIIYQQci71DBYMlNhJ5bDp/vvvH/SYCUIIIYQQQgghhJx/5zzp4SBHPBA7JCQk8N1KCLmQ0LVLLlR07ZILFV275EJF1y65UF3o1+6Qz5JACCGEEEIIIYSQ4YcCBoQQQgghhBBCCLFCAQNCCCGEEEIIIYRYcUrAQKfTDXg2BEIIIYQQQgghhAxfTpklobm5GaNGjYJSqcTEiRMxadIkJCUlQa/XO+PwhBBCCCGEEEIIOc8GHTAIDQ1FeXk5AKCtrQ179uzB3r17Lba58sorMW7cOIwfPx7jxo3DyJEjIRAIBntqQgghhBBCCCGEnCODDhiUlpaisbERJ0+exIkTJ/j/FhcX89vs3LkTu3bt4v9WKBQYPXo0H0AYN24cJk+ePNiiEEIIIYQQQgghxEmcMiTB29sbV1xxBa644gp+WUtLC06ePMn/O3HiBAoLC8EYg1qtxpEjR3D06FEAgEAggMFgcEZRCCGEEEIIIYQQ4gROCRjY4unpiTlz5mDOnDn8svb2dqSnp1v0RsjLywNj7FwVgxBCCCGEEEIIIQ4QsCFuravVapw6dQrTp08fymIMCaVSCb1ej6ioqEEd5+zZswAw6OMQcr7RtUsuVHTtkgsVXbvkQkXXLrlQDcdr9+zZs5BIJGhvb+932yEPGFzKAgIC0NnZibCwsKEuCiGEEEIIIYSQS0BZWRlcXV1RU1PT77YUMCCEEEIIIYQQQogV4VAXgBBCCCGEEEIIIcMPBQwIIYQQQgghhBBihQIGhBBCCCGEEEIIsUIBg/Nk7dq1WLhwIWJiYuDh4QGZTIbw8HAsXboUp0+f7nW/Tz75BJMnT4abmxu8vLxwzTXX4ODBg32e68CBA7jmmmvg5eUFNzc3TJ48GZs3b+5zn4qKCtx1110ICgqCXC5HbGwsnn/+eWi1WodeL7k4NTY2ws/PDwKBANHR0X1uS9cuGWqzZ8+GQCDo9d+OHTts7kfXLhku6uvr8dhjj2HkyJFQKBTw8vLChAkT8Pjjj9vc/qeffkJKSgrc3d3h7u6O2bNnY/v27X2eIzs7G4sXL4avry8UCgVGjx6Nt956CyaTqdd9mpub8fDDDyM8PJy/n3nkkUfQ0tIymJdLLgJ79+7ts97l/r3wwgtW+1LdS4basWPHsGTJEgQFBUEikcDT0xMzZ87Epk2bYCvtn9FoxJtvvonRo0dDoVDA19cXS5YsQU5OTp/nOV91tdMwcl54e3szuVzOJk+ezG688UZ24403stjYWAaASSQS9tNPP1nt8/DDDzMATKFQsAULFrArr7ySicViJhKJ2LZt22yeZ+vWrUwkEjGBQMBSUlLYTTfdxDw9PRkA9ve//93mPgUFBczHx4cBYImJiWzJkiUsMjKSAWDJyclMq9U6860gF7Bly5YxgUDAALCoqKhet6NrlwwHKSkpDAC76aab2LJly6z+ZWZmWu1D1y4ZLo4fP868vb0ZAJaQkMBuvvlmdvXVV7Pw8HAmEomstn/zzTcZACYWi9lVV13FFixYwBQKBQPA3n33XZvnOHjwIL/N5MmT2ZIlS1hAQAADwBYvXsxMJpPVPvX19Sw6OpoBYJGRkWzJkiUsISGBAWCxsbGssbHR6e8FuXDk5OTYrG+XLVvGbr/9dgaAAWB//PGHxX5U95Khxl1PANiECRPYkiVL2GWXXcbEYjEDwG699VaL7Y1GI7vxxhsZAObp6cluuukmlpKSwgQCAXNxcWFHjhyxeZ7zVVc7EwUMzpP9+/czjUZjtXzdunUMAPP392d6vZ5fvnPnTgaAeXt7s/z8fH75wYMHmVQqZZ6enqy5udniWI2Njczd3Z0BYN9++y2/vKamhv9x37Nnj1UZkpOTGQC2cuVKfpler+e/BM8//7zjL5xcNHbt2sUAsHvvvbfPgAFdu2S44AIGxcXFdm1P1y4ZLurq6piPjw9zcXFhP/zwg9X6njeiubm5TCQSMZlMxg4ePMgvz8vLY97e3kwsFrOCggKLfXQ6HYuIiGAA2Nq1a/nl7e3tbNq0aQwA27Rpk9W5b7vtNgaALVy40OK+5aGHHmIA2LJlyxx81eRi98svvzAALDQ01KKBQ3UvGWp6vZ75+fkxAOzzzz+3WHfmzBnm5eVlFejasGEDA8BiYmJYTU0Nv3zr1q0MAIuOjraoIxk7v3W1M1HAYBiIiopiAFhGRga/7Oqrr2YA2Jtvvmm1/cqVKxkA9vrrr1ssf/XVVxkAtmDBAqt9vvvuOwaAXXfddRbLjxw5wgAwPz8/q6hqTU0Nk0gkTKVSWV3w5NKiVqtZVFQUi4+PZ/n5+X0GDOjaJcPFQAMGdO2S4eL+++9nANi6desGtP3DDz9stW7t2rUMAHvwwQctln/99dcMABs7dqzVPidOnOCfwJqrqqpiQqGQSaVSixtkxhjTarXM19eXiUQiVltba1e5yaXl1ltvZQDYU089ZbGc6l4y1E6fPs0AsJEjR9pcz12Hr776Kr8sLi6OAbDZA+b6669nANjWrVstlp+vutrZKGAwDIwaNYoBYDk5OYyx7saZTCZjAFh5ebnV9vv27WMAWEpKisXyWbNmMQBsy5YtVvt0dXUxuVzO5HK5RU+H5557jgFgK1assFm2OXPm9BqlJZeOJ598kgkEArZv3z5WXFzca8CArl0ynAwkYEDXLhku1Go1UyqVzNXVlanVarv2CQsLYwBYWlqa1bqysjIGgIWHh1ssX7p0KQPAXnzxRZvH5Lppm39/Pv74YwaAXX755Tb3Wb58+Xl52kUuPB0dHczV1ZUBYNnZ2fxyqnvJcMA9DOsvYLBx40bGGGNFRUX8EBqdTme1/ebNm232uDpfdbWzUdLDIbZlyxbk5eUhJiYGMTExAIC8vDx0dXXB19cXISEhVvtMmDABAJCZmWmxPCMjw2K9OalUisTERGi1WuTn59u1T1/nIpeOzMxMvPHGG7jrrrswc+bMPrela5cMRx999BEeeOABPPjgg3jnnXdQVlZmtQ1du2S4OH78ONrb2zF+/HgoFAr8+uuvePTRR/HAAw/grbfeQlVVlcX2LS0t/DU9fvx4q+OFhobCx8cHpaWlaGtr45c7ch3StUsc9d1336GzsxPjx49HfHw8v5zqXjIcREZGIioqCnl5efjiiy8s1uXk5OCzzz6DSqXCjTfeCODPaykxMRESicTqeLaupfNZVzsbBQzOs9deew133nknFi9ejMTERCxduhSBgYH48ssvIRKJAIC/mGxVnADg6uoKT09PNDc3o729HQDQ1taG1tbWPvfjlpeWlvLL+juXrX3IpcNkMuHuu++Gp6cn/vOf//S7PV27ZDh66aWX8MEHH2DdunV4+OGHER0djRdffNFiG7p2yXBx5swZAICfnx9uuOEGXHPNNXjzzTfxwQcfYNWqVYiOjsaXX37Jb89dTyqVCq6urjaP6azrkK5d4qjPPvsMAHDHHXdYLKe6lwwHIpEIn376KTw9PXHbbbdh4sSJuOWWWzBnzhyMGTMGISEh2L17N7y8vAAMrv48H3W1s1HA4Dz77bff8Omnn2Lr1q3Izs5GeHg4vvzyS0ycOJHfpqOjAwDg4uLS63G4C42rPLl9+tqv5z72nMvWPuTS8e677+LYsWN47bXX4O3t3e/2dO2S4WTWrFnYsmULzp49C7Vajby8PPzrX/+CWCzGc889h7fffpvflq5dMlw0NzcDAH788Ufs2LED69atQ11dHUpKSvDYY49Bo9Fg2bJlOHXqFADHrl179qNrlzhLdXU1du/eDZFIhL/85S8W66juJcNFcnIyUlNTERkZiZMnT+Lrr7/Gnj17IBQKccUVVyAyMpLf9lzUn47udz6uWwoYnGe7du0CYwzNzc3Yt28fYmJikJKSgn/9619DXTRCLJSVleHZZ59FSkoK7rzzzqEuDiED9sILL+D2229HZGQkFAoFYmNj8fTTT+P7778HAKxZswYajWZoC0lID9yc2gaDAS+88AIeeOAB+Pr6Ijw8HK+99hoWL14MvV6P1157bYhLSoh9vvzySxiNRlxxxRUICAgY6uIQYtOXX36JyZMnIzQ0FEeOHEFHRwfy8/Nx55134o033sCcOXPQ1dU11MUcEhQwGCKenp6YOXMmfvnlF0ycOBGrV6/GsWPHAABubm4AALVa3ev+nZ2dAAClUmmxT1/79dzHnnPZ2odcGv72t79Bp9Phww8/tHsfunbJhWDevHmYNGkSWlpacOTIEQB07ZLhw/y6uuuuu6zWc8tSU1Mtth/ItWvPfnTtEmfpbTgCQHUvGR4KCgqwbNky+Pj44Oeff8bkyZPh6uqKmJgY/Pe//8V1112HkydP4uOPPwZwbupPR/c7H9ctBQyGmEQiwc033wzGGH766ScAQFhYGACgoqLC5j6dnZ1oaWmBSqXiLw53d3d4eHj0uR+3PDw8nF/W37ls7UMuDT///DNcXFzw17/+FbNnz+b/3XLLLQCAyspKfllNTQ0AunbJhYNLMltdXQ2Arl0yfHCfu4uLC3x9fa3WjxgxAgBQV1cH4M/rqbm5mb9x7MlZ1yFdu2SgcnJykJ6eDjc3N9xwww1W66nuJcPBV199Bb1ej6uuusoiIMVZsmQJAGDfvn0ABld/no+62tkoYDAM+Pj4AADq6+sBACNHjoRMJkN9fT0qKyuttj958iQAYMyYMRbLx44da7HenF6vR1ZWFuRyOWJjY+3ap69zkUtDS0sLUlNTLf5xT2S1Wi2/TKvVAqBrl1w4uHHi3Ng/unbJcMFlz9ZoNDa7vzY1NQH486mTp6cnf0OZnp5utX15eTkaGhoQHh4Od3d3frkj1yFdu2SgtmzZAgBYuHChzTHYVPeS4YBrdHOBqJ645dy9A3ctZWVlQa/XW21v61o6n3W1s1HAYBjguhVGRUUBABQKBebMmQMA+N///me1/datWwEA8+fPt1h+7bXXWqw39/PPP0Or1WLu3LmQy+VW+/z0009WNya1tbVIS0uDSqVCcnKyQ6+NXLgYYzb/FRcXA+i+Xrll3BMvunbJhaC+vh5paWkA/pyOiK5dMlyEhYVh7NixYIzx9wfmuGXm03L1dR06cu2mp6ejqKgIiYmJfP0OAFdddRWEQiHS0tL4Hg6crq4u/PTTTxCJRLjmmmvseankIscY46eoszUcAaC6lwwPXG6N48eP21zPDRvn6sOIiAjExcVBo9Fg+/btVts7ct06s652OkbOuf3797Nff/2VGY1Gi+U6nY698847TCgUMoVCwcrKyvh1O3fuZACYt7c3y8/P55cfPHiQyWQy5unpyZqbmy2O19jYyNzd3RkA9u233/LLa2trWXR0NAPA9uzZY1W+5ORkBoA9/PDD/DK9Xs8WLlzIALDnn39+UK+fXFyKi4sZABYVFWVzPV27ZDg4cOAA27ZtGzMYDBbLi4uL+evm+uuvt1hH1y4ZLj7//HMGgI0ePZpVVVXxy9PT05mXlxcDwL755ht+eW5uLhOJREwmk7FDhw7xy/Pz85m3tzcTi8WsoKDA4hw6nY5FREQwAGzt2rX88o6ODjZt2jQGgG3atMmqbLfddhsDwG666Sam1+v55StXrmQA2LJly5zwDpCLQWpqKgPAgoODre6BzVHdS4baiRMnGAAGgL3//vsW6w4dOsRcXV0ZALZz505++YYNGxgAFhMTw2pra/nl3377LQPAoqOjLepIxs5vXe1MFDA4DzZt2sQAMB8fH3bllVeyW2+9lc2bN48FBgYyAEwul7Ovv/7aar+HH36YAWAuLi5swYIF7Oqrr2ZisZiJRCK2bds2m+faunUrEwqFTCAQsMsuu4wtWrSIeXp6MgDs0UcftbkPd5FyNyc333wzi4yMZADY9OnTmVardebbQS5w/QUMGKNrlww9rt4NCAhg11xzDbv11ltZcnIyk8vlDABLSEiw+IHn0LVLhotly5YxAMzT05Ndc8017LLLLmMymYwBYPfcc4/V9mvXrmUAmFgsZldffTVbsGABUygUDAB75513bJ7jwIED/DZTpkxhS5Ys4e9NFi1axEwmk9U+9fX1LCoqiv8duPnmm1liYiJ/49zY2Oj094JcmO655x4GgD3++OP9bkt1Lxlqjz32GB80SEhIYIsXL2bJyclMKBQyAOzee++12N5oNLIbb7yRAWAqlYotWrSIzZ49mwkEAqZQKNjhw4dtnud81dXORAGD86CoqIg9/fTTLDk5mQUGBjKJRMJcXV1ZQkICe+ihh6wiSeY2bdrEJk6cyFxcXJinpye76qqr2IEDB/o83/79+9lVV13FPD09mYuLC5s0aRL75JNP+tynrKyM3XnnnSwgIIBJpVIWHR3NVq9ezTQajUOvmVy87AkYMEbXLhlaZ86cYffffz+bMGEC8/X1ZWKxmHl4eLCpU6eyN954g6nV6l73pWuXDAcmk4mtX7+evxZdXV3ZtGnT+ryufvzxRzZz5kzm5ubG3Nzc2MyZM9lPP/3U53mysrLYTTfdxLy9vZlcLmcJCQls7dq1fT4RbmxsZA899BALDQ1lUqmUhYaGspUrV1o9BSaXLq1Wy1QqFQPAMjIy7NqH6l4y1L777js2b948/mm/SqVil112Gfviiy9sbm8wGNgbb7zBEhISmFwuZ97e3mzRokUsOzu7z/Ocr7raWQSMMebYYAZCCCGEEEIIIYRcrCjpISGEEEIIIYQQQqxQwIAQQgghhBBCCCFWKGBACCGEEEIIIYQQKxQwIIQQQgghhBBCiBUKGBBCCCGEEEIIIcQKBQwIIYQQQgghhBBihQIGhBBCCCGEEEIIsUIBA0IIIYQQQgghhFihgAEhhBBCCCGEEEKsUMCAEEIIIYQQQgghVihgQAghhBBCCCGEECsUMCCEEEIIIcTMoUOHMGPGDCiVSiQmJuLzzz8f6iIRQsiQEDDG2FAXghBCCCGEkOEgOzsbEydORFdXF5RKJdrb2wEAW7Zswe233z7EpSOEkPOLehgQQgghhBDy/959910AwM6dO9HW1oazZ88iMjISL7/88hCXjBBCzj8KGBBCCCGEEPL/SktLER8fj7lz5wIAIiMjcf3116O4uHiIS0YIIecfBQwIIYSQfhiNRqxduxbjx4+Hq6srBAIBBAIBvv/++6EuGrnA3XnnnRAIBLjzzjuHuihDYvbs2RAIBFizZs05P9ezzz4LgUCAV199tc/txo0bh8zMTGzevBlqtRqHDh3C119/jaSkpD73u+qqqyAQCPDHH384s9iEEDKkKGBACCGkT2vWrOEbyOb/ZDIZgoKCcOWVV2Ljxo3Q6/VDXVTeJ598gjVr1mDv3r1OOd4jjzyCv//97zh16hQMBgP8/f3h7+8PuVzulONfzFpbWyEWiyEQCPD666/3ul1ubi5/bY0YMaLPY3INs2nTpjm5tMRZnP0dHKyKigqsXbsWvr6+ePDBB/vc9oknnkBsbCyWLVsGV1dXTJ8+HWq1Gm+++Waf+3FBj8ceewwmk8lZRSeEkCFFAQNCCCF24xrK/v7+EIvFqK6uxu+//4577rkH06dPR3Nz81AXEUB3Y+Wf//ynUxor7e3t+O9//wsA+M9//gOtVouamhrU1NTgqquuGvTxL3YeHh4YP348APT5eezZs4f//9LSUpSUlNjczmAwYP/+/QCAOXPmOK2cxLmc+R10hmeeeQYajQZPPPEEXF1d+9xWpVLhoYceslh21VVXYcKECX3uN3XqVFx55ZVIT0/HZ599NugyE0LIcEABA0IIIXbjGso1NTXo7OxEaWkp7rnnHgDA8ePHsXLlyiEuofPl5ubyvSfuv/9+CASCIS7Rheeyyy4DAKSlpcFoNNrchmtYBgQEWPzd07Fjx9DZ2WlxXEL6UllZic8//xxSqRTLly+3a59PPvkEAPjAwQ8//ICWlpZ+9/vrX/8KoDu4SAghFwMKGBBCCHFYWFgY1q9fzz/p/eabb9DR0THEpXIutVrN/7+bm9sQluTCxTXs29racPLkSZvbpKamAgAef/xxAJY9Dsxxy6VSKZKTk51dVHIR2rBhA4xGI6655hp4eXn1u312djaOHj0KqVSKf/7zn5g0aRK0Wi0+//zzfvflzpGdnY0DBw44o/iEEDKkKGBACCFk0Liu+TqdDgUFBb1uV1JSgkceeQQJCQlwc3ODi4sLRo0ahYcffhhlZWW97vf111/j6quvhr+/P/6vvTsPauL8/wD+DgQIJkGCHGo9UEBt1WmtAoooXrVjFeqBIFKkjledVu2Jx1SxX63KdDpO1Tqg4oGOd4uljg5UBavWi1Z0rHZULoVWkEMEBQPk8/uD364JSUggBHHm85rJUPbZfZ5nn2cXu588+zx2dnZwdnaGj48PQkJC8OOPP6KmpgZAw7eCEolEfPj85ptv9OZeMDbUvTEhr1GjRonbtPPR3q49cVttbS2+//57DBkyBM7OzpBIJOK35eXl5UhMTERYWBgGDhwIFxcXyGQy9OzZEzNnzsSlS5eM1ke7jLq6OmzcuBGDBg2CQqGAu7s7Jk+ejOvXr4v7P3v2DGvXrsWAAQMgl8vRqVMnhIeHIzs72+S5t7SfjBkxYgSkUikAwyMHbt++jaKiIvTt2xczZswA8CKA0JhwvL+/PxwdHXXSWtK+xcXFsLOzg0QiQUpKSpPnsWrVKkgkEnh7extMb+12szRf7WuGiLB9+3b4+/vDyckJSqUSw4YNMzl0noiwa9cuDBs2DEqlEh07doS/vz+2bdsGItKbtNGSe7CldTRV/8TERADAzJkzzTpG2D84OBgqlQrR0dEAgJ07d5o81t7eHtOmTQMAbNu2rSVVZoyx9oUYY4yxJsTGxhIAauqfjLi4OHGfq1evGtxn37595ODgIO7n4OBAjo6O4u9KpZJSU1P1jps9e7a4DwBSKBTUoUMHnW25ublERHTw4EHy8PAgOzs7AkByuZw8PDx0Pvfv3zfrvIW8VCqVWI52PlOmTBH3DQoKIgC0dOlSCggIIAAklUpJpVKRRCKh9PR0vba0tbUllUql0yYSiYR++OEHg/URylixYgWNHTuWAJC9vT3J5XKdtrl69SqVlJTQoEGDCADJZDKddnZ3d6f8/Hyj593SfjJl6NChBIDee+89vbStW7cSAJo/fz4REXl7exMAysnJ0dlPrVaL57tq1Sq9fFravhMnTiQAFBoaarT+Go2GevXqRQBo9erVeuktbbfo6GgCQNHR0QbLtaQ/hGvm66+/pvfff1+8Lp2cnHTuH0NtSURUV1dH4eHhOu2nUqnIxsaGAFBERIRe/Zt7D1paR1Nu3Lgh5vHff/+Z3F+tVpOrqysBoF9++YWIiEpKSsje3p4AUFZWlsk89u7dK/69YIyxVx0HDBhjjDXJnIDBmDFjxAeKkpISvfS0tDSysbEhqVRKMTExlJubSxqNhjQaDf3zzz80ffp0AkBOTk46D7Pnzp0jAGRjY0NxcXFUWloqppWUlFBqaipFR0dTYWGhTnnCQ0hsbKzF55+enm7y/IXyFAoFKRQK2rVrFz179kysp1DvhIQEio2NpczMTHr+/DkRNTyI5uTk0JIlS0gikZCtrS399ddfRstwdnamTp060ZEjR0itVpNGo6ErV65Q7969CQAFBATQlClTyNPTk1JTU6m+vp7q6+vp1KlT5ObmRgAoMjLS4Hm0tJ/MsXz5cvEBt66uTictLCyMAND+/fuJiGjOnDkEgBITE3X2O3/+vNgXQhBGW0vb99ChQ+LDeHl5ucH6C9eiRCKh7OxsnTRL2q2pgIGl/SFcMyqVijp27Ei7d+8Wr8sHDx5QcHCweH/duXNH7/j169eL7f3555+L93ZFRQWtW7dODCAYqr+596CldTRly5YtBIC6d+9u1v5Hjx4lAOTm5kZqtVrcPmXKFAJAixYtMpnHnTt3xHa7fft2s+vMGGPtCQcMGGOMNampgEF+fj7NmzdPTA8JCdHbp76+nnx8fAgAJSQkGC0nJCSEANCSJUvEbcLIhfHjxzerzi8rYACAUlJSWlzWxx9/TABozpw5TZZx7tw5vfTTp0+L6Y6OjnT37l29fRITE8V07YchIsv6yRxpaWli/S5fvqyT5uHhQQDEwE9SUhIBoKioKJ391q5dK46aqKmpaVb5RMbbt7q6mjp27Njkuc+fP58AUGBgoM52S9vNWMCgNfpD+5o5c+aMXnpNTQ117dqVANDatWt10qqqqsRv+Q1dj0S6fxssDRi0pI7miIqKIgA0adIks/afMGECAaDFixfrbE9OTiYA5OLiYta1p1AoCADt3Lmz2XVmjLH2hOcwYIwxZrbOnTuLH7lcjp49e2L79u0AgH79+mHr1q16x/z++++4e/cuXF1dMXfuXKN5z5o1CwCQmpoqbnN2dgYAPHr0yOjs+u1J//79ERwc3OLjJ06cCADisoGGBAYGIjAwUG97UFAQHBwcAAChoaEG37N/9913AQDV1dV6c01Y0k/mGD58OOzt7QHoTmh469YtFBUVwcfHB127dhXPBdCf70A4btiwYeK5Noex9pXJZJg+fToAYO/evXrHPX/+HIcPHwYAREVF6aRZq91aM9/hw4cbXFHCwcFBvCZu3Lihk5aWloYnT54AaFiS0JAvvvgCHTp0aPpEzNSSOprj33//BQC4ubmZ3LewsBBpaWkAXrSrYOLEiXB1dUVZWRmOHTtmMq9OnTrplM8YY68q6cuuAGOMsVdHUVGRwe2zZs1CQkICZDKZXpowU3hFRYX4QGiIWq0GAOTn54vbxo4dC5lMhmvXrmHEiBGYM2cOxowZg169ellyGlZjzqz9OTk52Lp1K9LT05GdnY3KykpoNBqdfQoKCowe7+fnZ3C7ra0tXF1dUVhYCF9fX4P7eHh4iP9dXl6uk2ZJP5mjQ4cO8PX1xYULF5CRkYGlS5cCeBEUEIIEQMPqG56ensjLy0N2dja8vLygVqtx8eJFAE0vp9jS9p01axZ27NiBCxcuIDc3V+caO378OB4/fgyZTIawsDCd46zVbq2Zr7+/v9E0Ie+ysjKd7cJqFj169DB6vymVSgwePBjnzp0zmr+5WlJHczx69AgAzFodYffu3aivr0f//v0xePBgnTQ7OztERERg8+bNSExMRHh4eJN5ubi4ID8/XyyfMcZeVRwwYIwxZjYiEn8+fPgQKSkpWLZsGZKSkjBw4EB8+eWXescI37DV1tYaDThoq66uFv/by8sLO3bswEcffYSLFy+KD4xubm4YPXo0Zs6ciZCQEEgkkmafy9SpU/HHH3/obe/evTuuXr3a7PwAwN3dvcn05ORkRERE4Pnz5+I2JycnyGQySCQSqNVqlJeX4+nTp0bzUCqVRtOElQiM7SOkAw39oc2SfjLX6NGjceHCBZw/fx51dXWQSqViwEB71QmgIYCQl5eHjIwMeHl54cqVK+ISl8Iyno1Z0r6BgYHo1asXcnNzsW/fPqxcuVJME0YdBAcHi6NeBNZqt9bM15xrpvH1IDzoNhWsAIDXXnvNZN3M0ZI6mkNYQcXUiBT6/9UgAP1RJILo6Ghs3rwZp0+fxv3799GjRw+j+QkreAjlM8bYq4pfSWCMMdZsEokEXbp0wYIFC5CcnAyJRIKYmBicOXNGb1/hVQJ/f39Qw9w5Jj/aIiMjkZ+fj/j4eISHh6N79+549OgRDh8+jMmTJyMoKEgcOt0cZWVlKCoq0vtY8o2gra2t0bTS0lJ8+OGHeP78OcaMGYOMjAw8e/YMFRUVKCoqwsOHD3HkyJEWl20pS/vJHMLIgKqqKmRmZgJ4sXyi9ggD7d+F1xCEn3K53OAoC0vbVyKRiA+K2q8llJaW4sSJEwAMP0haq93aoj/M0ZJgXHsivBrQeERNY2fPnhWXHF22bJneUpASiQRDhgwBAGg0GjG4YIwwGkIonzHGXlUcMGCMMWaRUaNGISoqCkSERYsW6c010LlzZwDNH8KuzcXFBQsWLMDBgwdx//593Lt3T/yf+nPnzmH16tXNzjMjI8PgQ5exNeItdeLECTx58gQqlQq//vorgoKCxG8hBQ8fPrRK2eZojX4yJSAgQPymNyMjA7du3UJxcTG8vLzQrVs3nX0bz2Mg/Bw+fDjs7Oz08m6N9hUCAnfv3sWlS5cAAIcOHUJtbS3c3NwwYcIEvWOs1W5t0R9NEd75N/UOfmFhYVtUp8WE8zD1OsPOnTuble/u3bubDNII5ZkzdwJjjLVnHDBgjDFmsVWrVsHW1ha3bt3Cnj17dNKE9/ofPnwofqtsKS8vL6xfvx4zZ84EAPz222866TY2Df+8Wetb15Z48OABAKBv375GJ4o7depUW1ZJhzX6qTGZTIahQ4cCaBgxYGj+AkHv3r3RrVs3FBYW4ubNmybnL2iN9vX29sawYcMAvBhlIPyMiIjQeaVDYK12a4v+aMrbb78NoCFgYSyIVlVVhT///NNgWnu5B9944w0ADXNbGPPkyRMcPXoUALBnzx5UVlYa/eTm5sLGxgZ5eXk4ffq0wfwqKytRUlICAHj99ddb+YwYY6xtccCAMcaYxby8vMRJwNasWaPzrvHo0aPFGfs/++wzcZI2Y7S/CdR+F90Q4Rtk4eFE4OTkBAB4/PixeSfQBjp27AgAuHPnjsH3mrOysrB///62rpbIkn5qbjlAw6R+wgN84/kLBEIgIS4uTnxH31jAoLXaV5gd/9ChQ/j777/FkQaNZ83XPh9rtFtb9Ycx48ePF++jdevWGdxn48aN4rwSjbWXe3DkyJEAgOvXrxv9e3LgwAFUV1fD0dERU6dOhUKhMPrx9PQU8zQ2KiEzMxMajQZSqdSsiVAZY6w944ABY4yxVrF8+XJIJBLk5eUhMTFR3C6VShEfHw+pVIrz589j5MiROH36tE5QIScnB/Hx8fD19dVZmvGTTz5BWFgYfvrpJxQXF4vbq6qqEB8fj6SkJAAvlssTDBgwAEDDMPX2MmR6/PjxsLGxQVlZGSIjI8V6qdVqHD58GOPHj29y4jdrs6SfmkN44H/69ClSUlIAGB5hoL39wIEDAF7Mym9Ia7VveHg47O3txTkRgIZvqY2Va612a6v+MEYul4srWWzfvh0xMTFiUKKyshJxcXFYvXo1VCqVwePbyz04fPhwSKVSqNVqZGVlGdxH+Hs1YcIEKBQKk3kKwdHk5GSDcyNcvnwZQMMoDXPyY4yx9owDBowxxlrFgAEDEBISAgD49ttvdb7NGzt2LI4cOQKlUonLly9j3LhxkMvlcHV1hUwmg5eXFxYuXIjMzEydSdZqa2tx5MgRhIaGwsPDA0qlEiqVCkqlEgsXLoRarUZgYKDeOvHR0dGQyWS4d+8eevTogc6dO8PT0xOenp5NLlloTT4+Pvjqq68AAD///DO6desGZ2dnKBQKhIeHQ6FQYNOmTS+lboKW9lNzDB06VBwZUl9fj169ehmdbV4IGAjzYowYMcLgawFA67WvSqXCpEmTAEB8FcDYrPkCa7VbW/RHU2JiYhAaGgoA+O677+Dm5gYXFxeoVCosW7YMkZGRCA4OBgC9JVXbyz3o5OQkBhSFAJW2mzdviquiTJ8+3aw8p02bBltbW9TU1BgctSKUI7wyxRhjrzIOGDDGGGs1woN7QUEBEhISdNImT56Me/fuITY2Fn5+flAoFHj8+DEcHBzw5ptvYu7cuUhOThYf+gBg5cqV2LRpE6ZMmYJ+/fpBKpWiqqoK7u7ueOedd7Bz505kZGRALpfrlOXj44P09HSEhITAzc0NpaWlyM/PR35+Purq6qzfEEZs2LABSUlJ8PPzg6OjI2pra+Ht7Y0VK1bg2rVrJpewawst6afmsLe3R0BAgPi7sdEFANCnTx9x8j/A+OsIgtZqX+3XD2xsbPDBBx+YPMZa7Wbt/miKVCrF4cOHsWPHDrFN6+rqMGTIEOzYsQNJSUniKweNl5tsT/fgggULAAD79+/Xm1NBGF3g6OgoBj9MEZZ11T5ekJOTg4sXL8LR0dHoayyMMfYqkdDLno2GMcYYY4y9cogIPXr0QEFBAZKSkkyOxHhZNBoN+vTpg+zsbJw9e1acg8Aa/ve//yE2NhazZ89u9soLjDHWHvEIA8YYY4wx1mx79+5FQUEBpFIpxo0b97KrY5SNjQ3WrFkDoGEUirU8ffoUmzdvhoODA2JjY61WDmOMtSUOGDDGGGOMMYMiIiJw9OhRcZlAACgqKsKGDRswb948AA2vcHTp0uVlVdEsM2bMgJ+fH06ePIkrV65YpYwtW7agpKQEixcvRs+ePa1SBmOMtTV+JYExxhhjjBnk7OyMiooKAECHDh1gZ2cn/g40TER5/PhxcRnF9iwrKwvHjh2Dr6+v3soqrWHLli0oLS3Fp59+Ki7zyRhjrzoOGDDGGGOMMYOSkpJw8uRJXLt2DcXFxaiqqoKzszPeeustzJgxA1FRUbCzs3vZ1WSMMWYlHDBgjDHGGGOMMcaYHp7DgDHGGGOMMcYYY3o4YMAYY4wxxhhjjDE9HDBgjDHGGGOMMcaYHg4YMMYYY4wxxhhjTA8HDBhjjDHGGGOMMaaHAwaMMcYYY4wxxhjTwwEDxhhjjDHGGGOM6eGAAWOMMcYYY4wxxvRwwIAxxhhjjDHGGGN6OGDAGGOMMcYYY4wxPf8HINjvcK9jwEAAAAAASUVORK5CYII=",
      "text/plain": [
       "<Figure size 1200x400 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig, ax = plt.subplots(1, 1, figsize=(12, 4))\n",
    "\n",
    "if 'wave_host' in op_spec.names:\n",
    "    wave = op_spec.wave_host\n",
    "    indwav = wave!=0\n",
    "    wave = wave[indwav]\n",
    "    flux = op_spec.flux_host[indwav]\n",
    "    error = op_spec.err_host[indwav]\n",
    "    flux_host = op_spec.flux_pca_host[indwav]\n",
    "else:\n",
    "    wave = op_spec.wave_prereduced\n",
    "    flux = op_spec.flux_prereduced\n",
    "    error = op_spec.error_prereduced\n",
    "\n",
    "ax.plot(wave_sdss5/(1+op_data.redshift), flux_sdss5*(1+op_data.redshift), color='silver', lw=1, ls=':', label='original SDSS5 spectrum')\n",
    "ax.plot(wave, flux, color='black', lw=1, label='prereduced flux')\n",
    "ax.plot(wave, error, color='grey', lw=1, label='prereduced error')\n",
    "if 'wave_host' in op_spec.names:\n",
    "    ax.plot(wave, flux_host, color='purple', lw=1, label='host galaxy')\n",
    "ax.axhline(0, color='black', lw=1, ls='--')\n",
    "ax.set_xlim(wave_sdss5[0]/(1+op_data.redshift), wave_sdss5[-1]/(1+op_data.redshift))\n",
    "ax.set_xlabel(r'Rest-frame Wavelength ($\\rm\\AA$)', fontsize=18)\n",
    "ax.set_ylabel(r'$F_{\\lambda} ({\\rm 10^{-17}erg\\,s^{-1}cm^{-2}\\AA^{-1}})$', fontsize=18)\n",
    "ax.legend(fontsize=12, loc='upper right')"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "f7e16ace",
   "metadata": {},
   "source": [
    "plot the spectrum fitting results"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "id": "1da9fbaa",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.legend.Legend at 0x7f3f09a010a0>"
      ]
     },
     "execution_count": 12,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1200x400 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "conti_flux, gaussian_flux = qsofit_op_flux(op_data, wave)\n",
    "\n",
    "fig, ax = plt.subplots(1, 1, figsize=(12, 4))\n",
    "ax.plot(wave, flux, color='black', lw=1, label='prereduced flux')\n",
    "ax.plot(wave, error, color='grey', lw=1, label='prereduced error')\n",
    "\n",
    "ax.plot(wave, conti_flux, color='orange', lw=1.5, label='Continuum')\n",
    "ax.plot(wave, gaussian_flux, color='blue', lw=1.5, label='Gaussian')\n",
    "ax.plot(wave, gaussian_flux+conti_flux, color='red', lw=1.5, label='PyQSOFit model')\n",
    "\n",
    "ax.axhline(0, color='black', lw=1, ls='--')\n",
    "ax.set_xlim(wave[0], wave[-1])\n",
    "ax.set_xlabel(r'Rest-frame Wavelength ($\\rm\\AA$)', fontsize=18)\n",
    "ax.set_ylabel(r'$F_{\\lambda} ({\\rm 10^{-17}erg\\,s^{-1}cm^{-2}\\AA^{-1}})$', fontsize=18)\n",
    "ax.legend(fontsize=12, ncol=2)\n"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "ba1fd51c",
   "metadata": {},
   "source": [
    "## About this notebook\n",
    "\n",
    "This notebook was created to illustrate how to understand and visualize the output FITS file for each quasar.\n",
    "\n",
    "**Author**: Qiaoya Wu\n",
    "\n",
    "**Last Update**: May 6, 2025\n",
    "\n",
    "If you use ``astropy`` for published research, please cite the authors. Follow this link for more information about citing ``astropy``:\n",
    "\n",
    "[Citing](https://www.astropy.org/acknowledging.html) ``astropy``\n",
    "\n",
    "\n",
    "And of course please [cite](https://sdss.org/collaboration/citing-sdss/) SDSS when you use our data product.\n"
   ]
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3 (ipykernel)",
   "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": "3.12.2"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 5
}