{
 "cells": [
  {
   "cell_type": "markdown",
   "id": "a0a91a01-43b9-4239-9fb1-02e945bbffde",
   "metadata": {},
   "source": [
    "# Exploring and Plotting the different BOSS Spectra Coadds and their Model Fits\n",
    "\n",
    "## Learning Goals\n",
    "By the end of this tutorial, you will:\n",
    "- Have a basic understanding of the available BOSS coadds available in DR19\n",
    "- Know how to retrieve SDSS spectrum files\n",
    "- Understand some of the structure of a fits file containing a BOSS spectrum\n",
    "\n",
    "## Introduction\n",
    "SDSS-V now uses the BOSS optical spectrograph to observe stars, galaxies, and quasars. The different science cases have different requirements which led to multiple coadding schema in SDSS-V.\n",
    "\n",
    "In this short tutorial we will briefly cover how to determine the best coadding product for your science case, and retreive the associated spectra files from the SDSS Science Archive Server (SAS). \n",
    "\n",
    "### Imports\n",
    "This tutorial requires three commonly used python packages, and an SDSS specific package\n",
    "- `numpy` for doing large array operations\n",
    "- `matplotlib` for plotting\n",
    "- `astropy` for reading fits files and tables (and optionally used to download the supplemental files)\n",
    "- `pydl` used for filtering the summary files based on the bitmasks\n",
    "- `os` used for accessing environmental variables (optinal if not using astropy to download the supplemental files)\n",
    "- `sdss_access` for download the sdss data and building the file paths (this can be manually down if desired, but this is not shown here)\n",
    "\n",
    "Missing packages can be installed via `pip install numpy matplotlib astropy pydl sdss-access`\n",
    "\n",
    "#### **Note!**\n",
    "If you already have `sdss_access` installed but have trouble with these file types, try upgrading to the latest version `pip install --upgrade sdss-access sdss-tree`"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "id": "e825219c-cff1-42d4-af61-f7f99c2c7d28",
   "metadata": {},
   "outputs": [],
   "source": [
    "import numpy as np\n",
    "import matplotlib.pyplot as plt\n",
    "from astropy.table import Table, Row\n",
    "from astropy.io import fits\n",
    "from astropy.utils.data import download_file\n",
    "from pydl.pydlutils import sdss\n",
    "import os\n",
    "\n",
    "from sdss_access import Access\n",
    "access = Access(release='DR19', verbose=False)\n",
    "\n",
    "run2d = 'v6_1_3' # The Run2d version of the BOSS Pipeline used for DR19\n"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "3809aabe-c1bf-4c13-80f0-4eb93d6958d7",
   "metadata": {},
   "source": [
    "## Determining the BOSS Coadding Schema\n",
    "The BOSS pipeline produces 3 types of coadds: Daily, Field Epoch, and Allepoch\n",
    "\n",
    "### Daily\n",
    "The Daily coadd spectra are a new product added for DR19. In this schema, all exposures of field taken on a single MJD, are combined. These are optimized if you are looking at short cadence variations.\n",
    "\n",
    "### Field Epoch\n",
    "The Field epoch coadd spectra are analogous to the old plate coadding schema. In this strategy, all spectra taken of a field (or plate plugging) within a set time period are coadded together. In plates (except for some exception cases) this time frame was defined as a single plugging, while in the FPS Field era it is defined by the core science driver of the field (ranging from 1 day to 14 days). These are optimized to supply higher level signal-to-noise, where the short period variations are not expected (or required). All target are included in these coadds, even if the length is only a single MJD. \n",
    "\n",
    "### Allepoch\n",
    "The Allepoch coadd spectra are a new SDSS-V product, and are analogous to the eFeds coadds released in DR18. They are only for a subset of Black Hole Mapper (BHM) extragalactic target (First Carton = '*spiders*’ or ‘*bhm_gua*’ or ‘*bhm_csc*’ or ‘*mwm_erosita*’ or ‘*bhm_colr_galaxies*’). \n",
    "\n",
    "While preserving basically the same datamodel as the daily and field epoch coadds, these are produced in a fundamentally different way. Here, the coadds are produced on a target level rather then a field level, and a optimized to support the science of these non-variable or ( minimal variation ) targets that require higher signal-to-noise then typically produced in a single visit.\n"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "1d1c58b2-43d5-40e2-a7fc-b5676f976e2e",
   "metadata": {},
   "source": [
    "## Selecting visits of target\n",
    "The spAll-lite summary file can be used to find the visits of a target. If you want the additional exposure level metadata, you can download the spAll (spAll, spAll_epoch, or spAll_coadd) instead, but for most use cases the spAll-lite will be adequate and so it is used for this example.\n",
    "\n",
    "If running on SciServer, skip this step and move to the \"access.full\" commands to load the data."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "id": "58a83dda-9a3c-4d19-94aa-98b07c4ac2a0",
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "Progress:   0%|                                                | 0/1 [00:00<?, ?files/s, n_files=1, n_streams=1]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "SDSS_ACCESS> Done!\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "\n"
     ]
    }
   ],
   "source": [
    "access.remote()\n",
    "spAll_file = access.add('spAll-lite', run2d=run2d)\n",
    "#spAll_file = access.add('spAll-lite_epoch', run2d=run2d)\n",
    "#spAll_file = access.add('spAll-lite_coadd', run2d=run2d, coadd='allepoch')\n",
    "access.set_stream()\n",
    "access.commit()\n",
    "access.reset() "
   ]
  },
  {
   "cell_type": "markdown",
   "id": "d485cd3c-aa9b-433f-acb5-61094277ad48",
   "metadata": {},
   "source": [
    "In this example we will use the daily coadds, but can be expanded to the Field epoch and allepoch coadds"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "id": "7eeb478f-6b8a-41e6-8471-ec74aecc2514",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "/Users/jdonor/sas/dr19/spectro/boss/redux/v6_1_3/spAll-lite-v6_1_3.fits.gz\n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "True"
      ]
     },
     "execution_count": 3,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "spAll_file = access.full('spAll-lite', run2d=run2d)\n",
    "#spAll_file = access.add('spAll-lite_epoch', run2d=run2d)\n",
    "#spAll_file = access.add('spAll-lite_coadd', run2d=run2d, coadd='allepoch')\n",
    "print(spAll_file)\n",
    "access.exists('', full=spAll_file)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "id": "74f1ea50-ebc8-43fe-853a-97c0c3070fc4",
   "metadata": {},
   "outputs": [],
   "source": [
    "spAll_daily = Table.read(spAll_file)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "id": "1d35d0a5-a72f-4baa-bf9e-a53771666fd9",
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div><i>Table length=3</i>\n",
       "<table id=\"table22543574704080\" class=\"table-striped table-bordered table-condensed\">\n",
       "<thead><tr><th>FIELD</th><th>MJD</th><th>MJD_FINAL</th><th>OBS</th><th>RUN2D</th><th>RUN1D</th><th>NEXP</th><th>EXPTIME</th><th>TARGET_INDEX</th><th>SPEC_FILE</th><th>PROGRAMNAME</th><th>SURVEY</th><th>CADENCE</th><th>FIRSTCARTON</th><th>SDSS5_TARGET_FLAGS</th><th>OBJTYPE</th><th>CATALOGID</th><th>CATALOGID_V0</th><th>CATALOGID_V0P5</th><th>SDSS_ID</th><th>SPECOBJID</th><th>CALIBFLUX</th><th>CALIBFLUX_IVAR</th><th>OPTICAL_PROV</th><th>MAG</th><th>PSFMAG</th><th>FIBER2MAG</th><th>CATDB_MAG</th><th>GAIA_G_MAG</th><th>GRI_GAIA_TRANSFORM</th><th>BP_MAG</th><th>RP_MAG</th><th>GAIA_ID</th><th>WISE_MAG</th><th>TWOMASS_MAG</th><th>GUVCAT_MAG</th><th>EBV</th><th>EBV_TYPE</th><th>FIBER_RA</th><th>FIBER_DEC</th><th>PLUG_RA</th><th>PLUG_DEC</th><th>RACAT</th><th>DECCAT</th><th>COORD_EPOCH</th><th>PMRA</th><th>PMDEC</th><th>PARALLAX</th><th>DELTA_RA</th><th>DELTA_DEC</th><th>FIBER_OFFSET</th><th>LAMBDA_EFF</th><th>HEALPIX</th><th>HEALPIXGRP</th><th>FIELDQUALITY</th><th>EXP_DISP_MED</th><th>FIELDSN2</th><th>SPEC1_G</th><th>SPEC1_R</th><th>SPEC1_I</th><th>SPEC2_G</th><th>SPEC2_R</th><th>SPEC2_I</th><th>SN_MEDIAN</th><th>SN_MEDIAN_ALL</th><th>AIRMASS</th><th>SEEING20</th><th>SEEING50</th><th>SEEING80</th><th>MOON_DIST</th><th>MOON_PHASE</th><th>ASSIGNED</th><th>ON_TARGET</th><th>VALID</th><th>DECOLLIDED</th><th>ANYANDMASK</th><th>ANYORMASK</th><th>SPECPRIMARY</th><th>SPECBOSS</th><th>BOSS_SPECOBJ_ID</th><th>NSPECOBS</th><th>SPECTROFLUX</th><th>SPECTROFLUX_IVAR</th><th>SPECTROSYNFLUX</th><th>SPECTROSYNFLUX_IVAR</th><th>SPECTROSKYFLUX</th><th>WAVEMIN</th><th>WAVEMAX</th><th>WCOVERAGE</th><th>CLASS</th><th>SUBCLASS</th><th>Z</th><th>Z_ERR</th><th>ZWARNING</th><th>RCHI2</th><th>DOF</th><th>RCHI2DIFF</th><th>TFILE</th><th>VDISP</th><th>VDISP_ERR</th><th>VDISPZ</th><th>VDISPZ_ERR</th><th>VDISPCHI2</th><th>VDISPNPIX</th><th>VDISPDOF</th><th>CHI68P</th><th>Z_NOQSO</th><th>Z_ERR_NOQSO</th><th>ZNUM_NOQSO</th><th>ZWARNING_NOQSO</th><th>CLASS_NOQSO</th><th>SUBCLASS_NOQSO</th><th>RCHI2DIFF_NOQSO</th><th>XCSAO_RV</th><th>XCSAO_ERV</th><th>XCSAO_RXC</th><th>XCSAO_TEFF</th><th>XCSAO_ETEFF</th><th>XCSAO_LOGG</th><th>XCSAO_ELOGG</th><th>XCSAO_FEH</th><th>XCSAO_EFEH</th></tr></thead>\n",
       "<thead><tr><th>int64</th><th>int64</th><th>float64</th><th>bytes3</th><th>bytes6</th><th>bytes6</th><th>int64</th><th>float32</th><th>int64</th><th>bytes42</th><th>bytes13</th><th>bytes13</th><th>bytes13</th><th>bytes48</th><th>uint8[32]</th><th>bytes16</th><th>int64</th><th>int64</th><th>int64</th><th>int64</th><th>bytes29</th><th>float32[5]</th><th>float32[5]</th><th>bytes26</th><th>float32[5]</th><th>float32[5]</th><th>float32[5]</th><th>float32[5]</th><th>float32</th><th>int64</th><th>float32</th><th>float32</th><th>int64</th><th>float32[4]</th><th>float32[3]</th><th>float32[2]</th><th>float32</th><th>bytes14</th><th>float64</th><th>float64</th><th>float64</th><th>float64</th><th>float64</th><th>float64</th><th>float32</th><th>float32</th><th>float32</th><th>float32</th><th>float32</th><th>float32</th><th>int64</th><th>float32</th><th>int64</th><th>int64</th><th>bytes4</th><th>float64</th><th>float32</th><th>float32</th><th>float32</th><th>float32</th><th>float32</th><th>float32</th><th>float32</th><th>float32[5]</th><th>float32</th><th>float32</th><th>float32</th><th>float32</th><th>float32</th><th>float32</th><th>float32</th><th>int64</th><th>int64</th><th>int64</th><th>int64</th><th>int64</th><th>int64</th><th>int64</th><th>int64</th><th>int64</th><th>int64</th><th>float32[5]</th><th>float32[5]</th><th>float32[5]</th><th>float32[5]</th><th>float32[5]</th><th>float32</th><th>float32</th><th>float32</th><th>bytes6</th><th>bytes21</th><th>float32</th><th>float32</th><th>int64</th><th>float32</th><th>int64</th><th>float32</th><th>bytes24</th><th>float32</th><th>float32</th><th>float32</th><th>float32</th><th>float32</th><th>float32</th><th>int64</th><th>float32</th><th>float32</th><th>float32</th><th>int64</th><th>int64</th><th>bytes6</th><th>bytes21</th><th>float32</th><th>float32</th><th>float32</th><th>float32</th><th>float32</th><th>float32</th><th>float32</th><th>float32</th><th>float32</th><th>float32</th></tr></thead>\n",
       "<tr><td>101202</td><td>60065</td><td>60065.28449126173</td><td>APO</td><td>v6_1_3</td><td>v6_1_3</td><td>1</td><td>900.0</td><td>297</td><td>spec-101202-60065-27021597842439106.fits</td><td>bhm_filler</td><td>BHM</td><td>bright_2x1</td><td>bhm_gua_bright</td><td>0 .. 0</td><td>science</td><td>27021597842439106</td><td>--</td><td>27021597842439106</td><td>68995788</td><td>--</td><td>0.0 .. 87.07629</td><td>0.0 .. 0.0</td><td>sdss_psfmag_from_gaiadr2</td><td>-- .. 18.475744</td><td>-- .. 17.65225</td><td>-- .. 18.475744</td><td>-- .. 17.65225</td><td>17.667044</td><td>0</td><td>17.669954</td><td>17.31582</td><td>2255180988037425792</td><td>13.174 .. 7.468</td><td>16.601 .. 14.924</td><td>19.5055 .. 18.6874</td><td>0.0591152</td><td>SFD</td><td>285.81111774613726</td><td>65.12902604937386</td><td>--</td><td>--</td><td>285.8111031892812</td><td>65.1290217141325</td><td>2015.5</td><td>-0.0861903</td><td>-0.0453737</td><td>-0.0341037</td><td>0.0</td><td>0.0</td><td>0</td><td>5400.0</td><td>9056</td><td>9</td><td>bad</td><td>0.0</td><td>1.840648</td><td>1.840648</td><td>6.0197864</td><td>5.286606</td><td>0.0</td><td>0.0</td><td>0.0</td><td>2.3736877 .. 5.540198</td><td>8.2438135</td><td>1.62316</td><td>1.437</td><td>1.594</td><td>1.919</td><td>92.8</td><td>0.8</td><td>1</td><td>1</td><td>1</td><td>0</td><td>84475904</td><td>256835584</td><td>0</td><td>0</td><td>0</td><td>1</td><td>61.233063 .. 103.36359</td><td>0.042489756 .. 0.042885855</td><td>58.55144 .. 94.1137</td><td>0.16185926 .. 0.08680591</td><td>128.71616 .. 375.24524</td><td>3606.6167</td><td>10327.613</td><td>0.4472</td><td>QSO</td><td>BROADLINE</td><td>0.51586616</td><td>0.00012609901</td><td>0</td><td>1.0789684</td><td>4462</td><td>1.0588156</td><td>spEigenQSO-58596.fits</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</td><td>0.9491671</td><td>0.91475487</td><td>0.0005666074</td><td>2</td><td>4</td><td>GALAXY</td><td></td><td>0.0009012222</td><td>367.246</td><td>33.802456</td><td>1.5329974</td><td>3158.7625</td><td>1491.7493</td><td>3.3209763</td><td>1.2073305</td><td>-0.4019344</td><td>1.0295823</td></tr>\n",
       "<tr><td>101202</td><td>60095</td><td>60095.327508183684</td><td>APO</td><td>v6_1_3</td><td>v6_1_3</td><td>2</td><td>1800.0</td><td>180</td><td>spec-101202-60095-27021597842439106.fits</td><td>bhm_filler</td><td>BHM</td><td>dark_1x4</td><td>bhm_gua_dark</td><td>0 .. 0</td><td>science</td><td>27021597842439106</td><td>--</td><td>27021597842439106</td><td>68995788</td><td>--</td><td>0.0 .. 87.07629</td><td>0.0 .. 0.0</td><td>sdss_psfmag_from_gaiadr2</td><td>-- .. 18.475744</td><td>-- .. 17.65225</td><td>-- .. 18.475744</td><td>-- .. 17.65225</td><td>17.667044</td><td>0</td><td>17.669954</td><td>17.31582</td><td>2255180988037425792</td><td>13.174 .. 7.468</td><td>16.601 .. 14.924</td><td>19.5055 .. 18.6874</td><td>0.059115518</td><td>SFD</td><td>285.8111565410277</td><td>65.12902804991552</td><td>--</td><td>--</td><td>285.8111031892812</td><td>65.1290217141325</td><td>2015.5</td><td>-0.0861903</td><td>-0.0453737</td><td>-0.0341037</td><td>0.0</td><td>0.0</td><td>0</td><td>5400.0</td><td>9056</td><td>9</td><td>bad</td><td>13.00257886272908</td><td>1.3282832</td><td>1.3282832</td><td>6.2918587</td><td>3.7958698</td><td>0.0</td><td>0.0</td><td>0.0</td><td>5.8534417 .. 7.142995</td><td>11.357151</td><td>1.41139</td><td>1.4045</td><td>1.612</td><td>1.8369999</td><td>94.75</td><td>0.83</td><td>1</td><td>1</td><td>1</td><td>0</td><td>84410368</td><td>256835584</td><td>0</td><td>0</td><td>0</td><td>1</td><td>82.644325 .. 70.831276</td><td>0.05728464 .. 0.049960647</td><td>62.111496 .. 70.75695</td><td>0.12136683 .. 0.07636316</td><td>71.02664 .. 184.35002</td><td>3619.9285</td><td>10332.371</td><td>0.4523</td><td>QSO</td><td>BROADLINE</td><td>0.5166281</td><td>8.8180954e-05</td><td>0</td><td>0.79904187</td><td>4513</td><td>2.227911</td><td>spEigenQSO-58596.fits</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</td><td>0.8487062</td><td>0.9124515</td><td>0.00021946062</td><td>2</td><td>4</td><td>GALAXY</td><td></td><td>0.0063238144</td><td>-82.02525</td><td>15.116911</td><td>1.5173143</td><td>2987.3777</td><td>1474.0433</td><td>3.5460684</td><td>1.2885137</td><td>-0.42362356</td><td>0.97633475</td></tr>\n",
       "<tr><td>101202</td><td>60128</td><td>60128.235509664395</td><td>APO</td><td>v6_1_3</td><td>v6_1_3</td><td>1</td><td>900.0</td><td>132</td><td>spec-101202-60128-27021597842439106.fits</td><td>bhm_filler</td><td>BHM</td><td>bright_2x1</td><td>bhm_gua_bright</td><td>0 .. 0</td><td>science</td><td>27021597842439106</td><td>--</td><td>27021597842439106</td><td>68995788</td><td>--</td><td>0.0 .. 87.07629</td><td>0.0 .. 0.0</td><td>sdss_psfmag_from_gaiadr2</td><td>-- .. 18.475744</td><td>-- .. 17.65225</td><td>-- .. 18.475744</td><td>-- .. 17.65225</td><td>17.667044</td><td>0</td><td>17.669954</td><td>17.31582</td><td>2255180988037425792</td><td>13.174 .. 7.468</td><td>16.601 .. 14.924</td><td>19.5055 .. 18.6874</td><td>0.05911458</td><td>SFD</td><td>285.8110142581201</td><td>65.12902486322004</td><td>--</td><td>--</td><td>285.8111031892812</td><td>65.1290217141325</td><td>2015.5</td><td>-0.0861903</td><td>-0.0453737</td><td>-0.0341037</td><td>0.0</td><td>0.0</td><td>0</td><td>5400.0</td><td>9056</td><td>9</td><td>bad</td><td>0.0</td><td>0.5612026</td><td>0.5612026</td><td>3.1969116</td><td>3.3361685</td><td>0.0</td><td>0.0</td><td>0.0</td><td>2.0224478 .. 4.229348</td><td>4.379607</td><td>1.22218</td><td>2.047</td><td>2.215</td><td>2.369</td><td>93.1</td><td>1.0</td><td>1</td><td>1</td><td>1</td><td>0</td><td>84738048</td><td>122617856</td><td>0</td><td>0</td><td>0</td><td>1</td><td>25.312113 .. 85.59552</td><td>0.053291216 .. 0.108268246</td><td>56.166058 .. 80.60463</td><td>0.17090508 .. 0.14856504</td><td>280.75696 .. 338.09616</td><td>3616.5957</td><td>10332.371</td><td>0.4523</td><td>QSO</td><td>BROADLINE</td><td>0.5158173</td><td>0.00015269297</td><td>0</td><td>1.1557242</td><td>4513</td><td>0.56740546</td><td>spEigenQSO-58596.fits</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</td><td>1.0483482</td><td>0.91622376</td><td>0.0001654365</td><td>2</td><td>0</td><td>GALAXY</td><td></td><td>0.0149434805</td><td>482.0326</td><td>17.83113</td><td>2.2012007</td><td>2923.3542</td><td>729.86176</td><td>3.2104614</td><td>1.3320234</td><td>-0.8538755</td><td>0.63649154</td></tr>\n",
       "</table></div>"
      ],
      "text/plain": [
       "<Table length=3>\n",
       "FIELD   MJD      MJD_FINAL       OBS   ... XCSAO_ELOGG  XCSAO_FEH  XCSAO_EFEH\n",
       "int64  int64      float64       bytes3 ...   float32     float32    float32  \n",
       "------ ----- ------------------ ------ ... ----------- ----------- ----------\n",
       "101202 60065  60065.28449126173    APO ...   1.2073305  -0.4019344  1.0295823\n",
       "101202 60095 60095.327508183684    APO ...   1.2885137 -0.42362356 0.97633475\n",
       "101202 60128 60128.235509664395    APO ...   1.3320234  -0.8538755 0.63649154"
      ]
     },
     "execution_count": 5,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "catalogid = 27021597842439106\n",
    "selection = spAll_daily[(spAll_daily['CATALOGID']==catalogid) & (spAll_daily['SN_MEDIAN_ALL'] > 3)]\n",
    "selection"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "2784c722-48e2-4e69-9d2c-da9383e7b32c",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2025-04-08T22:34:46.564355Z",
     "iopub.status.busy": "2025-04-08T22:34:46.563918Z",
     "iopub.status.idle": "2025-04-08T22:34:46.567608Z",
     "shell.execute_reply": "2025-04-08T22:34:46.567031Z",
     "shell.execute_reply.started": "2025-04-08T22:34:46.564330Z"
    }
   },
   "source": [
    "If you want to select on the ZWARNING Flags, this can be done with the pydl package and the mask bits, which are stored in ILDutils. The full list of bits, with descriptions can be found at https://sdss.org/dr19/data_access/bitmasks/#ZWARNING"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "id": "dfef70db-185a-416b-b291-08be6685eb97",
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div><i>Table length=3</i>\n",
       "<table id=\"table22543372186512\" class=\"table-striped table-bordered table-condensed\">\n",
       "<thead><tr><th>FIELD</th><th>MJD</th><th>MJD_FINAL</th><th>OBS</th><th>RUN2D</th><th>RUN1D</th><th>NEXP</th><th>EXPTIME</th><th>TARGET_INDEX</th><th>SPEC_FILE</th><th>PROGRAMNAME</th><th>SURVEY</th><th>CADENCE</th><th>FIRSTCARTON</th><th>SDSS5_TARGET_FLAGS</th><th>OBJTYPE</th><th>CATALOGID</th><th>CATALOGID_V0</th><th>CATALOGID_V0P5</th><th>SDSS_ID</th><th>SPECOBJID</th><th>CALIBFLUX</th><th>CALIBFLUX_IVAR</th><th>OPTICAL_PROV</th><th>MAG</th><th>PSFMAG</th><th>FIBER2MAG</th><th>CATDB_MAG</th><th>GAIA_G_MAG</th><th>GRI_GAIA_TRANSFORM</th><th>BP_MAG</th><th>RP_MAG</th><th>GAIA_ID</th><th>WISE_MAG</th><th>TWOMASS_MAG</th><th>GUVCAT_MAG</th><th>EBV</th><th>EBV_TYPE</th><th>FIBER_RA</th><th>FIBER_DEC</th><th>PLUG_RA</th><th>PLUG_DEC</th><th>RACAT</th><th>DECCAT</th><th>COORD_EPOCH</th><th>PMRA</th><th>PMDEC</th><th>PARALLAX</th><th>DELTA_RA</th><th>DELTA_DEC</th><th>FIBER_OFFSET</th><th>LAMBDA_EFF</th><th>HEALPIX</th><th>HEALPIXGRP</th><th>FIELDQUALITY</th><th>EXP_DISP_MED</th><th>FIELDSN2</th><th>SPEC1_G</th><th>SPEC1_R</th><th>SPEC1_I</th><th>SPEC2_G</th><th>SPEC2_R</th><th>SPEC2_I</th><th>SN_MEDIAN</th><th>SN_MEDIAN_ALL</th><th>AIRMASS</th><th>SEEING20</th><th>SEEING50</th><th>SEEING80</th><th>MOON_DIST</th><th>MOON_PHASE</th><th>ASSIGNED</th><th>ON_TARGET</th><th>VALID</th><th>DECOLLIDED</th><th>ANYANDMASK</th><th>ANYORMASK</th><th>SPECPRIMARY</th><th>SPECBOSS</th><th>BOSS_SPECOBJ_ID</th><th>NSPECOBS</th><th>SPECTROFLUX</th><th>SPECTROFLUX_IVAR</th><th>SPECTROSYNFLUX</th><th>SPECTROSYNFLUX_IVAR</th><th>SPECTROSKYFLUX</th><th>WAVEMIN</th><th>WAVEMAX</th><th>WCOVERAGE</th><th>CLASS</th><th>SUBCLASS</th><th>Z</th><th>Z_ERR</th><th>ZWARNING</th><th>RCHI2</th><th>DOF</th><th>RCHI2DIFF</th><th>TFILE</th><th>VDISP</th><th>VDISP_ERR</th><th>VDISPZ</th><th>VDISPZ_ERR</th><th>VDISPCHI2</th><th>VDISPNPIX</th><th>VDISPDOF</th><th>CHI68P</th><th>Z_NOQSO</th><th>Z_ERR_NOQSO</th><th>ZNUM_NOQSO</th><th>ZWARNING_NOQSO</th><th>CLASS_NOQSO</th><th>SUBCLASS_NOQSO</th><th>RCHI2DIFF_NOQSO</th><th>XCSAO_RV</th><th>XCSAO_ERV</th><th>XCSAO_RXC</th><th>XCSAO_TEFF</th><th>XCSAO_ETEFF</th><th>XCSAO_LOGG</th><th>XCSAO_ELOGG</th><th>XCSAO_FEH</th><th>XCSAO_EFEH</th></tr></thead>\n",
       "<thead><tr><th>int64</th><th>int64</th><th>float64</th><th>bytes3</th><th>bytes6</th><th>bytes6</th><th>int64</th><th>float32</th><th>int64</th><th>bytes42</th><th>bytes13</th><th>bytes13</th><th>bytes13</th><th>bytes48</th><th>uint8[32]</th><th>bytes16</th><th>int64</th><th>int64</th><th>int64</th><th>int64</th><th>bytes29</th><th>float32[5]</th><th>float32[5]</th><th>bytes26</th><th>float32[5]</th><th>float32[5]</th><th>float32[5]</th><th>float32[5]</th><th>float32</th><th>int64</th><th>float32</th><th>float32</th><th>int64</th><th>float32[4]</th><th>float32[3]</th><th>float32[2]</th><th>float32</th><th>bytes14</th><th>float64</th><th>float64</th><th>float64</th><th>float64</th><th>float64</th><th>float64</th><th>float32</th><th>float32</th><th>float32</th><th>float32</th><th>float32</th><th>float32</th><th>int64</th><th>float32</th><th>int64</th><th>int64</th><th>bytes4</th><th>float64</th><th>float32</th><th>float32</th><th>float32</th><th>float32</th><th>float32</th><th>float32</th><th>float32</th><th>float32[5]</th><th>float32</th><th>float32</th><th>float32</th><th>float32</th><th>float32</th><th>float32</th><th>float32</th><th>int64</th><th>int64</th><th>int64</th><th>int64</th><th>int64</th><th>int64</th><th>int64</th><th>int64</th><th>int64</th><th>int64</th><th>float32[5]</th><th>float32[5]</th><th>float32[5]</th><th>float32[5]</th><th>float32[5]</th><th>float32</th><th>float32</th><th>float32</th><th>bytes6</th><th>bytes21</th><th>float32</th><th>float32</th><th>int64</th><th>float32</th><th>int64</th><th>float32</th><th>bytes24</th><th>float32</th><th>float32</th><th>float32</th><th>float32</th><th>float32</th><th>float32</th><th>int64</th><th>float32</th><th>float32</th><th>float32</th><th>int64</th><th>int64</th><th>bytes6</th><th>bytes21</th><th>float32</th><th>float32</th><th>float32</th><th>float32</th><th>float32</th><th>float32</th><th>float32</th><th>float32</th><th>float32</th><th>float32</th></tr></thead>\n",
       "<tr><td>101202</td><td>60065</td><td>60065.28449126173</td><td>APO</td><td>v6_1_3</td><td>v6_1_3</td><td>1</td><td>900.0</td><td>297</td><td>spec-101202-60065-27021597842439106.fits</td><td>bhm_filler</td><td>BHM</td><td>bright_2x1</td><td>bhm_gua_bright</td><td>0 .. 0</td><td>science</td><td>27021597842439106</td><td>--</td><td>27021597842439106</td><td>68995788</td><td>--</td><td>0.0 .. 87.07629</td><td>0.0 .. 0.0</td><td>sdss_psfmag_from_gaiadr2</td><td>-- .. 18.475744</td><td>-- .. 17.65225</td><td>-- .. 18.475744</td><td>-- .. 17.65225</td><td>17.667044</td><td>0</td><td>17.669954</td><td>17.31582</td><td>2255180988037425792</td><td>13.174 .. 7.468</td><td>16.601 .. 14.924</td><td>19.5055 .. 18.6874</td><td>0.0591152</td><td>SFD</td><td>285.81111774613726</td><td>65.12902604937386</td><td>--</td><td>--</td><td>285.8111031892812</td><td>65.1290217141325</td><td>2015.5</td><td>-0.0861903</td><td>-0.0453737</td><td>-0.0341037</td><td>0.0</td><td>0.0</td><td>0</td><td>5400.0</td><td>9056</td><td>9</td><td>bad</td><td>0.0</td><td>1.840648</td><td>1.840648</td><td>6.0197864</td><td>5.286606</td><td>0.0</td><td>0.0</td><td>0.0</td><td>2.3736877 .. 5.540198</td><td>8.2438135</td><td>1.62316</td><td>1.437</td><td>1.594</td><td>1.919</td><td>92.8</td><td>0.8</td><td>1</td><td>1</td><td>1</td><td>0</td><td>84475904</td><td>256835584</td><td>0</td><td>0</td><td>0</td><td>1</td><td>61.233063 .. 103.36359</td><td>0.042489756 .. 0.042885855</td><td>58.55144 .. 94.1137</td><td>0.16185926 .. 0.08680591</td><td>128.71616 .. 375.24524</td><td>3606.6167</td><td>10327.613</td><td>0.4472</td><td>QSO</td><td>BROADLINE</td><td>0.51586616</td><td>0.00012609901</td><td>0</td><td>1.0789684</td><td>4462</td><td>1.0588156</td><td>spEigenQSO-58596.fits</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</td><td>0.9491671</td><td>0.91475487</td><td>0.0005666074</td><td>2</td><td>4</td><td>GALAXY</td><td></td><td>0.0009012222</td><td>367.246</td><td>33.802456</td><td>1.5329974</td><td>3158.7625</td><td>1491.7493</td><td>3.3209763</td><td>1.2073305</td><td>-0.4019344</td><td>1.0295823</td></tr>\n",
       "<tr><td>101202</td><td>60095</td><td>60095.327508183684</td><td>APO</td><td>v6_1_3</td><td>v6_1_3</td><td>2</td><td>1800.0</td><td>180</td><td>spec-101202-60095-27021597842439106.fits</td><td>bhm_filler</td><td>BHM</td><td>dark_1x4</td><td>bhm_gua_dark</td><td>0 .. 0</td><td>science</td><td>27021597842439106</td><td>--</td><td>27021597842439106</td><td>68995788</td><td>--</td><td>0.0 .. 87.07629</td><td>0.0 .. 0.0</td><td>sdss_psfmag_from_gaiadr2</td><td>-- .. 18.475744</td><td>-- .. 17.65225</td><td>-- .. 18.475744</td><td>-- .. 17.65225</td><td>17.667044</td><td>0</td><td>17.669954</td><td>17.31582</td><td>2255180988037425792</td><td>13.174 .. 7.468</td><td>16.601 .. 14.924</td><td>19.5055 .. 18.6874</td><td>0.059115518</td><td>SFD</td><td>285.8111565410277</td><td>65.12902804991552</td><td>--</td><td>--</td><td>285.8111031892812</td><td>65.1290217141325</td><td>2015.5</td><td>-0.0861903</td><td>-0.0453737</td><td>-0.0341037</td><td>0.0</td><td>0.0</td><td>0</td><td>5400.0</td><td>9056</td><td>9</td><td>bad</td><td>13.00257886272908</td><td>1.3282832</td><td>1.3282832</td><td>6.2918587</td><td>3.7958698</td><td>0.0</td><td>0.0</td><td>0.0</td><td>5.8534417 .. 7.142995</td><td>11.357151</td><td>1.41139</td><td>1.4045</td><td>1.612</td><td>1.8369999</td><td>94.75</td><td>0.83</td><td>1</td><td>1</td><td>1</td><td>0</td><td>84410368</td><td>256835584</td><td>0</td><td>0</td><td>0</td><td>1</td><td>82.644325 .. 70.831276</td><td>0.05728464 .. 0.049960647</td><td>62.111496 .. 70.75695</td><td>0.12136683 .. 0.07636316</td><td>71.02664 .. 184.35002</td><td>3619.9285</td><td>10332.371</td><td>0.4523</td><td>QSO</td><td>BROADLINE</td><td>0.5166281</td><td>8.8180954e-05</td><td>0</td><td>0.79904187</td><td>4513</td><td>2.227911</td><td>spEigenQSO-58596.fits</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</td><td>0.8487062</td><td>0.9124515</td><td>0.00021946062</td><td>2</td><td>4</td><td>GALAXY</td><td></td><td>0.0063238144</td><td>-82.02525</td><td>15.116911</td><td>1.5173143</td><td>2987.3777</td><td>1474.0433</td><td>3.5460684</td><td>1.2885137</td><td>-0.42362356</td><td>0.97633475</td></tr>\n",
       "<tr><td>101202</td><td>60128</td><td>60128.235509664395</td><td>APO</td><td>v6_1_3</td><td>v6_1_3</td><td>1</td><td>900.0</td><td>132</td><td>spec-101202-60128-27021597842439106.fits</td><td>bhm_filler</td><td>BHM</td><td>bright_2x1</td><td>bhm_gua_bright</td><td>0 .. 0</td><td>science</td><td>27021597842439106</td><td>--</td><td>27021597842439106</td><td>68995788</td><td>--</td><td>0.0 .. 87.07629</td><td>0.0 .. 0.0</td><td>sdss_psfmag_from_gaiadr2</td><td>-- .. 18.475744</td><td>-- .. 17.65225</td><td>-- .. 18.475744</td><td>-- .. 17.65225</td><td>17.667044</td><td>0</td><td>17.669954</td><td>17.31582</td><td>2255180988037425792</td><td>13.174 .. 7.468</td><td>16.601 .. 14.924</td><td>19.5055 .. 18.6874</td><td>0.05911458</td><td>SFD</td><td>285.8110142581201</td><td>65.12902486322004</td><td>--</td><td>--</td><td>285.8111031892812</td><td>65.1290217141325</td><td>2015.5</td><td>-0.0861903</td><td>-0.0453737</td><td>-0.0341037</td><td>0.0</td><td>0.0</td><td>0</td><td>5400.0</td><td>9056</td><td>9</td><td>bad</td><td>0.0</td><td>0.5612026</td><td>0.5612026</td><td>3.1969116</td><td>3.3361685</td><td>0.0</td><td>0.0</td><td>0.0</td><td>2.0224478 .. 4.229348</td><td>4.379607</td><td>1.22218</td><td>2.047</td><td>2.215</td><td>2.369</td><td>93.1</td><td>1.0</td><td>1</td><td>1</td><td>1</td><td>0</td><td>84738048</td><td>122617856</td><td>0</td><td>0</td><td>0</td><td>1</td><td>25.312113 .. 85.59552</td><td>0.053291216 .. 0.108268246</td><td>56.166058 .. 80.60463</td><td>0.17090508 .. 0.14856504</td><td>280.75696 .. 338.09616</td><td>3616.5957</td><td>10332.371</td><td>0.4523</td><td>QSO</td><td>BROADLINE</td><td>0.5158173</td><td>0.00015269297</td><td>0</td><td>1.1557242</td><td>4513</td><td>0.56740546</td><td>spEigenQSO-58596.fits</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</td><td>1.0483482</td><td>0.91622376</td><td>0.0001654365</td><td>2</td><td>0</td><td>GALAXY</td><td></td><td>0.0149434805</td><td>482.0326</td><td>17.83113</td><td>2.2012007</td><td>2923.3542</td><td>729.86176</td><td>3.2104614</td><td>1.3320234</td><td>-0.8538755</td><td>0.63649154</td></tr>\n",
       "</table></div>"
      ],
      "text/plain": [
       "<Table length=3>\n",
       "FIELD   MJD      MJD_FINAL       OBS   ... XCSAO_ELOGG  XCSAO_FEH  XCSAO_EFEH\n",
       "int64  int64      float64       bytes3 ...   float32     float32    float32  \n",
       "------ ----- ------------------ ------ ... ----------- ----------- ----------\n",
       "101202 60065  60065.28449126173    APO ...   1.2073305  -0.4019344  1.0295823\n",
       "101202 60095 60095.327508183684    APO ...   1.2885137 -0.42362356 0.97633475\n",
       "101202 60128 60128.235509664395    APO ...   1.3320234  -0.8538755 0.63649154"
      ]
     },
     "execution_count": 6,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#the latest version\n",
    "#baseurl = 'https://raw.githubusercontent.com/sdss/idlutils/refs/heads/master/data/sdss/sdssMaskbits.par' \n",
    "#maskbitfile = download_file(baseurl, cache='update')\n",
    "\n",
    "#the DR19 version\n",
    "baseurl = 'https://raw.githubusercontent.com/sdss/idlutils/refs/tags/6.3.0/data/sdss/sdssMaskbits.par' \n",
    "maskbitfile = download_file(baseurl, cache='update')\n",
    "\n",
    "#Pre-existing IDLutils install\n",
    "#maskbitfile = os.getenv(\"IDLUTILS_DIR\")+\"/data/sdss/sdssMaskbits.par\"\n",
    "\n",
    "sdss.set_maskbits(maskbits_file=maskbitfile)\n",
    "mask = sdss.sdss_flagval('ZWARNING',['UNPLUGGED','BAD_TARGET','NODATA'])\n",
    "selection[(selection['ZWARNING'] & mask) == 0]\n",
    "\n",
    "#Another example, where we select spectra that have the SMALL_DELTA_CHI2 (and only that) flag set in ZWARNING\n",
    "#mask = sdss.sdss_flagval('ZWARNING',['SMALL_DELTA_CHI2'])\n",
    "#selection[(selection['ZWARNING'] == mask)]"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "4a005989",
   "metadata": {},
   "source": [
    "### Other potential Filters\n",
    "There are numerous other columns that the spALL(-lite) file can be filtered on. Listed below are some of the common ones:\n",
    "- _GAIA_ID_ - GAIA DR2 Source ID\n",
    "- _FIRSTCARTON_ - The SDSS Targeting carton used to select the target for this design\n",
    "- _SDSS5_TARGET_FLAGS_ - The Full targeting information for the target (using sdss-semaphore to decode - See the Semaphore tutorial)\n",
    "- _SDSS_ID_ - SDSS-V Unique Target Identifier\n",
    "- _FIBER_OFFSET_ - Boolean; Fiber offset by design (to exposure on brighter then allowed target) \n",
    "- _EXP_DISP_MED_ - Characterizes the dispersion seen between the individual coadded exposures\n",
    "- _AIRMASS_ - Ivar weighted Mean Airmass\n",
    "- _SEEING20_, _SEEING50_, _SEEING80_ -  Ivar weighted Mean Seeing percentiles\n",
    "- _CLASS_ - SPEC1D Classification\n",
    "- _SUBCLASS_ - SPEC1D sub-Classification\n",
    "- _Z_ - SPEC1D Redshift\n",
    "- _Z_NOQSO_ - SPEC1D Redshift (excluding QSO Models)\n",
    "- _ZWARNING_NOQSO_ - SPEC1D Warning bits (excluding QSO Models)\n",
    "- _CLASS_NOQSO_ - SPEC1D Classification (excluding QSO Models)\n",
    "- _SUBCLASS_NOQSO_ - SPEC1D sub-Classification (excluding QSO Models)\n",
    "\n",
    "### **Note**\n",
    "While the XCSAO columns (eg _XCSAO_RV_, _XCSAO_TEFF_) are filled for all rows, these are valid only for stellar spectra."
   ]
  },
  {
   "cell_type": "markdown",
   "id": "a381f62f-e2d8-4ff1-83cb-ceb5afd535b1",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2025-04-08T20:57:55.550783Z",
     "iopub.status.busy": "2025-04-08T20:57:55.549926Z",
     "iopub.status.idle": "2025-04-08T20:57:55.553738Z",
     "shell.execute_reply": "2025-04-08T20:57:55.553170Z",
     "shell.execute_reply.started": "2025-04-08T20:57:55.550755Z"
    }
   },
   "source": [
    "## Retreiving the Spectra\n",
    "The specFiles uses the catalogid at the time of exposure. If you want to use the sdss_id, you can use the spAll file to crossmatch and get the catalogid. Additionally, as DR19 contains 2 different versions of the catalogid (v0 and v0.5), you can select either by crossmatching via sdss_id, or by searching on CATALOGID_V0 and CATALOGID_V0P5 and then using the CATALOGID column to build the file names. \n",
    "\n",
    "\n",
    "If running on SciServer, comment out the `access` lines in this cell and move to the \"access.full\" commands to load the data."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "id": "39f90c65-d23b-4c0c-bd1d-0ecf3b5e2a95",
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "Progress:   0%|                                                | 0/1 [00:00<?, ?files/s, n_files=1, n_streams=1]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "SDSS_ACCESS> Done!\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "\n"
     ]
    }
   ],
   "source": [
    "catalogid = 27021597842439106\n",
    "\n",
    "# if you want all of the visits you can do\n",
    "#mjd   = '*'\n",
    "#fieldid = '*'\n",
    "\n",
    "# otherwise you can use the field and MJDs as selected above to get a select visit\n",
    "mjd = 60095\n",
    "fieldid = 101202\n",
    "\n",
    "\n",
    "access.remote()\n",
    "# Daily Spectra\n",
    "access.add('specLite', run2d=run2d, fieldid = fieldid, mjd = mjd, catalogid=catalogid)\n",
    "# Field Epoch Spectra\n",
    "#access.add('specLite_epoch', run2d=run2d, fieldid = fieldid, mjd = mjd, catalogid=catalogid)\n",
    "# Allepoch Spectra\n",
    "#access.add('specLite_coadd', run2d=run2d, coadd = 'allepoch', mjd = mjd, catalogid=catalogid)\n",
    "access.set_stream()\n",
    "access.commit()\n",
    "access.reset()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "bc148c5a-61e4-4ea7-867f-32272e6d2e0c",
   "metadata": {},
   "source": [
    "## Plotting the Spectra\n",
    "Now that you have retreived the specLite files, you can uses sdss_access again, but this time to build the local file paths."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "id": "90a2d3da-da03-4fba-876a-a41fd4ef5464",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "/Users/jdonor/sas/dr19/spectro/boss/redux/v6_1_3/spectra/lite/101202/60095/spec-101202-60095-27021597842439106.fits\n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "True"
      ]
     },
     "execution_count": 8,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "specFile = access.full('specLite', run2d=run2d, fieldid=fieldid, mjd = mjd, catalogid=catalogid)\n",
    "#specFile = access.full('specLite_epoch', run2d=run2d, fieldid=fieldid, mjd = mjd, catalogid=catalogid)\n",
    "#specFile = access.full('specLite_coadd', run2d=run2d, coadd='allepoch', mjd = mjd, catalogid=catalogid)\n",
    "print(specFile)\n",
    "access.exists('',full=specFile)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "613f6a0e-606e-4d09-95a9-160b5b0bfa41",
   "metadata": {},
   "source": [
    "All 3 coadding schema have the same datamodel, where the coadded spectra are stored in HDU1 ('COADD')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "id": "349fa6bf-7ba3-419d-835a-dbf4ed64747e",
   "metadata": {},
   "outputs": [],
   "source": [
    "spectra = fits.getdata(specFile, 'COADD')\n",
    "spAll = fits.getdata(specFile,'SPALL')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "id": "9e3b5b52-8047-4a45-9408-0761e7c0e816",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1400x400 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.figure(figsize=(14,4))\n",
    "wave = np.power(10, spectra['LOGLAM'])\n",
    "mask = (spectra['AND_MASK'] == 0)\n",
    "plt.plot(wave[mask], spectra['FLUX'][mask], label ='Flux')\n",
    "plt.plot(wave[mask], spectra['MODEL'][mask], label= 'Model')\n",
    "error = np.full_like(spectra['IVAR'].data, np.nan)\n",
    "error[spectra['IVAR'] > 0]  = 1.0/np.sqrt(spectra['IVAR'][spectra['IVAR'] > 0])\n",
    "plt.plot(wave[mask], error[mask], label='Error')\n",
    "plt.ylim(np.min(spectra['FLUX'][mask][np.where(wave[mask]>3800)[0]]),\n",
    "         1.1*np.max(spectra['FLUX'][mask][np.where(wave[mask]>3800)[0]]))\n",
    "plt.ylabel(r'$f_\\lambda~(10^{-17}~ergs/s/cm^2/\\mathrm{\\AA})$')\n",
    "plt.xlabel(r'Wavelength $(\\mathrm{\\AA})$')\n",
    "plt.legend()\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "id": "5cae99cc",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Redshift: 0.516628086566925\n"
     ]
    }
   ],
   "source": [
    "# if you want the spectra in restframe, you can get the redshift (as determined by the model) from \n",
    "# the spAll extension and scale the wavelength array accordingly.\n",
    "print(f\"Redshift: {spAll['Z'][0]}\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "id": "e30c408b-a0da-4cca-889c-1c0fe4b214be",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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z008/eZ23Zs0ar+3OnTuzY8cOmjZtWjLfRAmQxtrCy8bD5wFYc/Acby/Y69rvL4nac8oSHvpyI9OXHSit8Modh0PFpORVIhmx5yWRVAs4HMFOFUIIIYQQQogKJ8fmQFPYnkgVkFarZdeuXezatQutVut1LCoqikceeYRnn32WP//8k507d/Lggw+SlZXF/fffD8CIESM4cOAATz/9NHv27GHu3LnMmjXL6zrPPfccq1ev5tFHH2Xz5s3s27ePn3/+mccff7y0vs1CkySSCOjo+dCaQ0/5c08JR1K+Rbims5k4nePxT8om1UhCCCGEEEKIysVvJVIl64mUJzY2ltjYWL/HJk2axK233so999xD586d2b9/P3/99Rc1atQAnNPRfvjhB3755Rc6dOjARx99xIQJE7yu0b59e5YtW8a+ffvo2bMnnTp14qWXXiIhIaHEv7eikulsIiTST9s/r9XZFAM/bDvLlLwG+rYcMBRt/q0QQgghhBBClEfZVjvVcpNIVlWLXrFXmiRS/kqh/Dynp5lMJt577z3ee++9gONvuOEGbrjhBq999913n9d2165dWbBgQcBrJCUlBY2ptEklkggohD5gPs5kWNh3Mj38wZRTDhVMrtXZjNjRYlFzSx2t2WUYmRBCCCGEEEKEn9nqcFUiWfPqUirhdDbhnySRRNj1fecfTqdXjdXJvCuRnP2QcjA4D8p0NiGEEEIIIUQl4zmdzUzuqt4FNdYWlYYkkUSBsiw2rPbClSUlnc0soWjKF1VVXT2RujWvD4A5L4lkDa2nlBBCCCGEEEJUFGk5VrQ4k0YWqUSqcqQnkggqy2Kj9ct/Ffq8okyFq4gcKq5KpIsTagOQoxpAgeSTZ0mML8vohBBCCCGEECK8TqaZ/Uxnk0qkqkIqkURAKrDzeFrRzq0iWSSHqhKhOJNI6J1NtPOms/204WBZhSWEEEIIIYQQJeJUeg46xZk0Mqu509kkiVRlSBJJBFRVEkHFYbOrmMjt/6R3LsuWkzsvOK9CSQghhBBCCCEqizPpFvQ4p69l4+wLKz2Rqg5JIokSUVXST56NtfMqkfKeSI1UjebiQgghhBBCiKpBVVVybHYMriRSbj9Y6YlUZUgSSQQUKBGkqio2uyP4uaqza39lr2ayOTyms+lyK5FU5xOpUSqRhBBCCCGEEJWIzaGiqrgrkVTnB+gOmc5WZUhjbRHQ0j2n0Wl884xNxv5e4LnJ57O4a8Yabu5Yj3fv7FQS4ZULdodvJVLe6mxGVSqRhBBCCCGEEJWHxeYsJsirRMp773P0bDoNyywqUZrKdSXSsWPHGDJkCLVq1SIyMpKOHTuyceNG13FVVRk/fjz16tUjIiKC3r17s2PHjjKMuPJZtOtkkc6btTIJgPmbj4cxmvLHZleJcCWRvHsiSSWSEEIIIYQQojLJSyLpFe/pbGdSM8ssJlG6ym0S6fz581x++eXo9Xr++OMPdu7cyVtvvUX16tVdY6ZMmcLbb7/NtGnTWL9+PfHx8fTt25f09PSyC1wAwXsipWZZmfjHLvakVPz/T3a7HaNidW7k9UTKLek0OKQSSQghhBBCCFF5WO3elUhZue99NARvd1JRDBs2DEVRfL769+9f1qGVG+V2OtvkyZNJTExk5syZrn2NGzd2PVZVlalTpzJu3DgGDhwIwOzZs6lbty5z587l4YcfLu2QhYdgvZBe/nk78zcf5+NlB0maNMDr2OGzmaw5eJZbOzdApy23OU4X1eKRcddHAJCOM5kUqWaURUhCCCGEEEIIUSLMuZVIxtxKpJzcSiQdlacnUv/+/b3yEABGo9HvWKvVil6vL3BfKIp6Xmkrt+/Sf/75Z7p06cLtt99OnTp16NSpEzNmzHAdP3ToECkpKfTr18+1z2g00qtXL1atWlUWIYsAzmdaWLL7FHaHM7G09WhqwLG93ljKcz9s44vVh0srvGJZszsJALuquCqRUtUoACJsFb/SSgghhBBCCCHyWPIqkVxJpMpViQTOvEJ8fLzXV40aNQBQFIWPPvqIm2++maioKF5//XXGjx9Px44d+fzzz7noooswGo2oqsqRI0e4+eabiY6OJjY2lkGDBnHypLtdTKDzyrtyW4l08OBBpk+fztNPP80LL7zAunXreOKJJzAajdx7772kpKQAULduXa/z6taty+HD/hMQZrMZs9k9xSgtLa3kvoEqzvN3/+YPVnLkXBYA+/7vupDOX3foHMOvaFISoYXVHxv386wRMokgVlEASMWZRDLZpRJJCCGEEEIIUXm4G2s7K4+yc1em1haQRFJVlWxbdskGF0CELgIl971aOLzyyitMnDiRd955B61Wy8yZM9m/fz/fffcdP/zwA1qtFoBbbrmFqKgoli1bhs1mY+TIkdxxxx0sXbrUdS1/55V35TaJ5HA46NKlCxMmTACgU6dO7Nixg+nTp3Pvvfe6xuX/ZVBVNeAvyMSJE3n11VdLLmjhonp0RcpLIAEs23PaK7v65/YU+reND3p+eXZvp5qwEzKIIDZ3X14lkskulUhCCCGEEEKIysPVWBvvxtoFJZGybdl0n9u9ZIMLYO3gtUTmzhoJxa+//kp0dLTXvueee46XXnoJgMGDBzN8+HCv4xaLhS+//JK4uDgAFi5cyNatWzl06BCJiYkAfPnll7Rp04b169fTtWtXv+dVBOV2OltCQgKtW7f22teqVSuOHDkCQHy8M/GQV5GU59SpUz7VSXnGjh1Lamqq6ys5ObkEIhfgXYnkyebwPjBizka/4ypAFR8A1bTOyjaNyZlC0msVVyVShCSRhBBCCCGEEJWIazobzsWFclxJpMrTE6lPnz5s3rzZ6+vRRx91He/SpYvPOY0aNfJKBO3atYvExERXAgmgdevWVK9enV27dgU8ryIot5VIl19+OXv27PHat3fvXho1agRAkyZNiI+PZ+HChXTq1AlwZvGWLVvG5MmT/V7TaDQGbIglwmvfqcBTuSpIfigk2w8d5T+ARevMbJt0WlIt0hNJCCGEEEIIUflYfSqRnO+vC0oiRegiWDt4bckGF+TehREVFUXTpk2DHi9oX6AZUvn3+7tWeVduk0hPPfUUPXr0YMKECQwaNIh169bxySef8MknnwDOaWyjRo1iwoQJNGvWjGbNmjFhwgQiIyMZPHhwGUcviqsiJJrMNjvnz50FA2Tmrsg27PLG/LEkCQCDJJGEEEIIIYQQlYjZ7gBUjFgAyFbzkkjBp7MpilKoKWUVXevWrTly5AjJycmuaqSdO3eSmppKq1atyji64im3SaSuXbvy448/MnbsWF577TWaNGnC1KlTufvuu11jxowZQ3Z2NiNHjuT8+fN0796dBQsWEBMTU4aRi4JUlKlqBbHZVaKUHAAyMQHw5NXNWPnvdsjOTSI5HKApt7NGhRBCCCGEECJkFpuDWqRhwIoDheNqLaDgJFJFYjabfdrm6HQ6ateuHfI1rrnmGtq3b8/dd9/N1KlTXY21e/Xq5Xc6XEVSbpNIADfccAM33HBDwOOKojB+/HjGjx9fekGJUlEREk2KAo0V5xKNqTrnk6dOq6H1xY1ge+4ylzkXILJmGUYphBBCCCGEEOFhsTlIVE4DcEFb29UTSVOJkkh//vknCQkJXvtatGjB7t27Q76Goij89NNPPP7441x55ZVoNBr69+/P+++/H+5wS52USIhStXL/mXK38tri3Sd5e+FeHI7Cx1VLSQXgjM69wtwFi4Zzam43//QTYYlRCCGEEEIIIcqaxeagdu57oFRdLey5KQVdJWmsPWvWLFRV9fnKSyCpqsott9zidc748ePZvHmzz7UaNmzI/PnzycjIIC0tje+++85rEbBA55V35boSSVQ+X645TGLNUBqblV6iafisDQC0io/hunYJBYx2c6gQhXM6W47GPb93ye5TXCCamkoGZF8Ia6xCCCGEEEIIUVYsdgfG3JXZrIoRG1qgclUiieCkEkmUusJOVZu18hC/bS35ip4TqTmFGq+qKtG5SSSzRxJJp9WQnttoG3Na2OITQgghhBBCiLJktTtcTbVtGgOO3JRCQauzicpDKpFEuZSXaNp/KoPxv+wEYED7AWUYkS+HClFKNuCdRNJrFdJtudVWOZJEEkIIIYQQQlQOFpsDo+KsRLJpDNhcSSSpRKoqpBJJlLr8lUgn0wJXAJ3PspRwNG6KUsgTPKazeSaRtBpFKpGEEEIIIYQQlY7Z5p7OZtcYcaiSRKpqJIkkytzjc//12ZeXZ9IUNrFTihyqSnReJZLWYzqbRkOaGgWAXXoiCSGEEEIIISoJi1cSyeDqiSTT2aoOSSKJMrfl6AWffWpuuZJS6PKg0qMC0TiTSJb809lwTmdzZEslkhBCCCGEEKJy8GysbdcasRfQWFstbENcUWil/TOWJJIoc8HyRBqPgyX9j6Ow6SqHw06UYgYgx6MSSVEU0lWZziaEEEIIIYSoXJw9kZwtR+yKAXvuuygNKjjciSSt1plcslhKrz1JVZX3M877mZc0aawtypzGTxbJ33Q2hwra8lSYZM50P/SoRALcPZFyUkszIiGEEEIIIYQoMVaPSiSbxuCqRAJAtZNXp6LT6YiMjOT06dPo9Xo0GqlfKQkOh4PTp08TGRmJTlc66R1JIoky5y+J5O/YoI9X886gjjSsFRlwfKmypANgUzVYMbh2q6rqms4mq7MJIYQQQgghKgvPnkg2xYDdc3KTwwZaPeCcnZGQkMChQ4c4fPhwWYRaZWg0Gho2bFhqrWAkiSRKXf5paf5+1f3NXNt4+Dyjv9/M9yN6lEhchf5HZ8kAIIMIVI9TrXaVtNzpbIpMZxNCCCGEEEJUEl5JJI3R1VgbAId3c22DwUCzZs1kSlsJMxgMpVrpVewkktVqJSUlhaysLOLi4qhZs2Y44hJVSKg9kQDOZpSjJyCzO4nktdtmd01nkySSEEIIIYQQorKw2B0YFXclkiN/JVI+Go0Gk8lUWuGJUlCkdFVGRgYff/wxvXv3plq1ajRu3JjWrVsTFxdHo0aNePDBB1m/fn24YxWVRP4iI40mSE+kMpw6+/2GZL5ZdyTwgNxKpEzV+0mxx8W1pbG2EEIIIYQQotLx7Ilk1RiweSWR7AHOEpVJod+iv/POOzRu3JgZM2Zw1VVXMW/ePDZv3syePXtYvXo1r7zyCjabjb59+9K/f3/27dtXEnGLSuRCljXgsWD9ksLN81Y5VjvP/m8rz8/bxrlM/9VPitnZEykTk9f0u//e3NbVE0kqkYQQQgghhBCVhdWuYsT5/simGFDR4Mjr7aFKEqkqKPR0tlWrVrFkyRLatWvn93i3bt0YPnw4H330EZ999hnLli2jWbNmxQ5UVB4nUnN89lntDlbuP+Pazuub5JNCKqWcks3hzgplmm3UjDL4DspNImWo3tPZqkXqycydzqaxZmKxWDEY9CUXrBBCCCGEEEKUAs9KJLvG6PwvGjTY/U5nE5VPoZNI33//fUjjtm7dysiRIwsdkKiaFGDYTN8pkKXVYT4/z+bfFruDE6nZZJpt7Diexk0d6qEoCvYc/5VIAJlKlOvx31v2s+yIlRyrnXfu6Fhm35MQQgghhBBCFIfZ5t0TCZxJJD12mc5WRYR1dbZTp04xZ84cPv/8c3bt2oXdLr9EIsz8rNoW8qmqGjSBo+DMrL/6yw7aN6ju2v/0d1vYknzBtW3UaenfNp6vV+zkSSAzX2NtcD6h5qh6TIqV7PTzfLP+PABj+rekXnXf8UIIIYQQQghR3nn3RHLOtnCu0GYFezlaBEmUmGK3Lbbb7cyfP59bbrmFxMREZsyYwS233MKGDRvCEZ+oIvLnhtyVPcXIGnnINNvo9cZSnv9ha9Bx36xPZs6aI4z5n3ucZwIJYNsx57bGmglAhmpCzRenouBaoc1gTXfttzvC8/0IIYQQQgghRGmz2h0Y8K5EMpPbukOSSFVCyJVIp0+f5u2336ZmzZqMGjWKPXv2MHPmTObMmQPAoEGDcDgc/PDDD7Ru3brEAhZVS/5pYkXtifTb1hMcOZfFkXNZTLq1fcBxp9J8+zUFiimabMD/dDaNopCmRhKnpKKzpkNutZLD5xsSQgghhBBCiIrBalNdlUi23J5IriSSzVxWYYlSFHIl0uDBg8nKygKgfv36XHrppRw/fpzPP/+c48eP8/7775dYkKLyy59byV/ZUxRHzmbx0Bcb2HTkfGjXU5RC9SuqqzinqJ1Vq/m7lGuFNq1HJZLkkIQQQgghhBAVldXu2xPJrEoSqSoJOYm0e/du7r77boYPH865c+d46KGHeO211xgwYABarbYkYxRVQKAkT/69R89lM/q7LSzYkVLgNR+du4kFO08y8MNVIcehDSGJlDfkeu06AA6qCbSuF+s1RqMopKvO6Wx6zyRSyJEIIYQQQgghRPlitjk8KpGcySOLqxKp4FkdouILOYn04osv8p///IdevXoxadIkkpKSaNu2Ld27d2fatGmcPn26JOMUlVxatvdykCv3n+VcpsWncsdid/DDpqM89OVGft92Iug1k89nFXjfeZuOem2HUoikqsD5w67tg2oCI3pd7HOdvJ5Ieps7iSTT2YQQQgghhBAVlWdj7Ws7NAZkOltVE3IS6eGHH2bPnj38+++/PPPMM8ybN4+jR49y5513MmPGDOrVq4fD4WDhwoWkp6cXfEEhPHT9v0U++x79alPQc+auPRL0uE4TPCN0+GwmT3+3xbWtAAWc4nZis+thshqHSe9djadRFFLVKAD0ljTX/vw5JJvdwa9bj5OSKll7IYQQQgghRPlmtdkx4myg3bJBHD8/drlHEkne01QFhVqdLTo6Gr1e79qOi4vjqaeeYsuWLaxZs4ZHHnmE//73v9SpU4ebbrop7MGKqmX1wbNBexkVtNKZpoCyouMXfJ/kQumJ9OHSAyzasB2Av+xdUP38M0rNtpKi1gQg87S7aknNl0Wavfowj839l75vLyvwvkIIIYQQQghRllSHDa2S+55GZyQ+1uTuiSSrs1UJhUoiBXPJJZcwbdo0jh8/zuzZs7HZbAWfJMpcC+UIt2mXUV679QSb/WUvYGqY1qOsSPGzrFuOze6zr6DEU56tew4CcFaNDTjmOLWc10w75trnmffKsdpZuucUAOlm+fcihBBCCCGEKN8Uu8eUNZ0JjUZx9URSrdllFJUoTbqinPTCCy9wyy230K1bN59jBoOBQYMGMWjQoGIHJ0reX8bnAbigRrPIcUkZR+MrWJ4of1VPftoC5qaZrQ6vbUUJfTpbLSUVgLMETiKdVGsAUEe54NqXVz11/EI2PSYtDu1mQgghhBBCCFHGVFVFYze7swhaI1rF5prOptrMfj66F5VNkSqRTpw4wQ033EBCQgIPPfQQv/32G2ZzeJtojR8/HiV3yfW8r/j4eNdxVVUZP3489erVIyIigt69e7Njx46wxlDZ1SLV9bid5mAZRlI0BU1nK6gnks3h8NkXYiEStRRn369zakzAMWfVarlj3T2R8hprf70ueD8nIYQQQgghhChPbA4Vg+psqq1qDaDRoNEoriSSwyo9kaqCIiWRZs6cycmTJ/nuu++oXr06o0ePpnbt2gwcOJBZs2Zx5syZsATXpk0bTpw44fratm2b69iUKVN4++23mTZtGuvXryc+Pp6+fftKU+9CaKScdD2uTkYZRhJY0J5IBczA04TcJdvJanMw4ffdIY2tiTMxFGw625ncYzVJQ8GZsMpLfFkLCl4IIYQQQgghyhGr3YFRye17pDMCztkfeQsKcUE+KK8KitwTSVEUevbsyZQpU9i9ezfr1q3j0ksvZcaMGdSvX58rr7ySN998k2PHjhV8sQB0Oh3x8fGur7i4OMBZhTR16lTGjRvHwIEDadu2LbNnzyYrK4u5c+cW+X5ViQkz84zjXdv1lLMFnhPHebT49hEqScFmrDmKWYmU3w+bQv9draE4k24XiA445iyxWFUtOsVBAucAdyWS3U8VlBBCCCGEEEKUV1abihFnJRI6EwBaRWGNozUAyuGVZRWaKEVha6zdqlUrxowZw8qVKzl69ChDhw5l+fLlfP3110W+5r59+6hXrx5NmjThzjvv5OBB55SrQ4cOkZKSQr9+/VxjjUYjvXr1YtWqVQGvZzabSUtL8/qqLNooh6jP6ZDGRpDDbtN9Xvv6ajeRZBrM94bx6PBu8qzFzo+Gl1lvepSvDBPCFnNxOYJkmA6czmDvycJVV207llrwoFw1QpjOZkPHAbUeAC01zqz8kXNZnM+0SCWSEEIIIYQQokKx2B0eSSRnJZJGA9vVxs7HZ/eCXRYMquzClkTyFBcXx/3338/8+fN55plninSN7t2788UXX/DXX38xY8YMUlJS6NGjB2fPniUlJQWAunXrep1Tt25d1zF/Jk6cSLVq1VxfiYmJRYqtPNE5zDyk/YXfjONYYnw6pHMe1c0PeKyrZi/LjaNc23psHDDdQyfNfgAu1eximv5dQMWEmY7KfspqZbdgPZHu+HiN944wdnhTcFADZxLpAoGTSAD7c5NITRTn7+WT32ym038XFtjPSQghhBBCCCHKE6tHEknxqEQ6qsZhVnUodgukFX0mkqgYCpVEys7O9js9rSQaWl933XXceuuttGvXjmuuuYbffvsNgNmzZ7vGKPm6IKuq6rPP09ixY0lNTXV9JScnhz3u0jbwxNu8oHdWexkUO5dpAv2/UIklAz02HvNIIi2yd/IZmaCcI8k0mOs0a9lnutfn+A3atSSZ7ma36T5+Mr7M7dpltFSO8IbuI1evoHAJOp0tyMEzGeFt9O7pIuUERsVGlmp0rcAWSJLqbAbv2X8KnE3phBBCCCGEEKKisNgcGJV809k0CioazBic++3WMopOlJaQk0j/+9//aN68Oddffz3t27dn7dq1rmP33HNPiQTnKSoqinbt2rFv3z7XKm35q45OnTrlU53kyWg0Ehsb6/VV0Z0wXuy1/bXh/8irDOqp2cpH+ndopKRwwDiEraaHfJJCD1lH0zbnU7/Xnm54N6QY3tB/wp/G57ld9w+bTCMK/00EcSHbEvCYQ3UmDjcnXyDTHLxssqDjhdE4t6ooWY3D6lrf0r/DqvP3sbtml9d+m116IgkhhBBCCCEqDmclkndjbedK6mBF69zvkCRSZRdyEun1119n06ZNbNmyhc8//5zhw4e7mlirwcpFwsRsNrNr1y4SEhJo0qQJ8fHxLFy40HXcYrGwbNkyevToUeKxlCdrat7EFsdFXvuSTHdzt3YRXxom0V+7nmXGp9Eqvv+PWubMxIGGDCJpnDOXxjlfMdfWp9gxNVZOFPsaed77e1/AYw6HyrxNx7jlg5UM+nh10Ou8+stO1+Pkc1l8s+4ItiL2JRqrC73P13J7OwBaaI4SS6Zrf45NkkhCCCGEEEKIisO7J5LJtV+rKNhdSSTpiVTZBS+j8GC1Wl2ro3Xp0oV//vmHgQMHsn///qBTyIrqmWee4cYbb6Rhw4acOnWK119/nbS0NIYOHYqiKIwaNYoJEybQrFkzmjVrxoQJE4iMjGTw4MFhj6U8s2pM3Gx5nVG6/zFKN8+1///0nwc9b6ptIDkY8+1VeMH2IL84euRWNDl9a+vNCWryr6MZ+xz1WWV6Iui1lxpH0zgnPKvkpWUHfhKyqyo/bDoKwI7joU+j6/3mUuwOlbb1i1aJ1lRzHKDAqWwAKdQiRa1BvHKeJsoJtqhNAfhly/Ei3VsIIYQQQgghyoLVrvo01gbQaBRsefUpkkSq9EJOItWpU4etW7fSvn17AGrVqsXChQsZOnQoW7duDXtgR48e5a677uLMmTPExcVx6aWXsmbNGho1agTAmDFjyM7OZuTIkZw/f57u3buzYMECYmKCNzqurKbabvNKIgVyu/llktS6nCZwAmS1ow2vWIfyqt7Zf+q/tiFkEJl7VGWG7Xos6NjjSGSi/lOiFDMpag3qcAFNbsVTkmkw39h6M852P3a0rhXfbKH/yhUoNdtKXLT7yWt90jkuZFnp2zrwlEZwN+Tefqzw/Zv02LCoWgyKneetD4Z0ziFHAvHa8zRVjruSSEIIIYQQQghRkVjtDuKV884Nj0oko1aDTdU6FzOS1dkqvZDf0X/55ZfodN7DDQYDX3/9NY899ljYA/vmm2+CHlcUhfHjxzN+/Piw37uiutsylrG6r2mrSXLt+9zWn+G6P/nV3p3HrY+jhjiDcbb9Wmbbr/VzROH/bENcWz+bL3c9bqycYKlxtGv7Tt1S7tQtpY/5LT7Vv4kDDddbJhbYR8jrbkGK3C5kWdlw+Lxr+/aPnFPaFj3dK+Trh6ou52ipSaa1chiDYidNjeQ4tUI6d4/agMvYyfXatfzguDLssQkhhBBCCCFESbNa7Tynz32fbs127a8VbcCWLtPZqoqQ3803aNAg4LHLL7884DFRelY62nGDpR1tlCTe17/H+7b/8KOjJ6/ZfFdYKwlJagITrXcxVu/dM2iJR2LpRs0q5hUikbI7Jb3QcRw4nVHoc4LR4GCtyTtRutlxMc5Ue8FWONoxjAVcrf0Xo9XiXrlACCGEEEIIISoIe7b7A3zS3Ytc1Y42YpckUpVRrLlFFy5c4LPPPiMlJYUmTZrQsWNHOnToQFRUVLjiE0WwQ23MVZa3y+TeH9tvZLmjHQ/ofmegdoXP8bcNH5FhiWCBo2uJxWAOc9Pqg6YhPvt+doTewH2to5XrcVPlGDvUJmGJqyBWu4NFO0/StUlNakfn738lhBBCCCGEEKHTph5xb2jcqYTa0UZssjpblRHy6mz+DBw4kEmTJrFjxw4+/PBDevfuTbVq1WjevDmDBg0KV4yigtmpNuZp60iuNU/ye/wTwztEk1Vi98+x2sN2rbG6r3z2HXLU5Uf7FSFfI51ItjsaA3CJZm+4QivQjOUHeeSrTdz0vm8yTwghhBBCCCEKQ5vhsTiQR7IoNkLn0Vg7fO/FRPlUrEqktWvXsmzZMrp06QKA2Wxmx44dbNmyhS1btoQlQFFx7VEb0jxnNldotnFQTeBazQbXVLftpgdolvNFofojlbabNSt4WPeb176J1rv42H4DoU5ly5PXp+o1/Wy+8NtrKvz+3O4sMT2emlMq9xNCCCGEEEJUXorndDa7xfVQq9FgR6azVRXFegfftm1bNBp3MZPRaKRz58507ty52IGJysGCnsUO5+/Dx/YbaaNJ4iatswH2PtO9zLf34BnriLAmkzTBunGHqIFyincNH7q2l9g78I29D385uhXpeivtbbhcuwOAWDJJw3fK547jqRw6k8kN7esVLeh88lahE0IIIYQQQojiUnIuuDc8VmHTaRSskkSqMoo1nW3y5Mm89NJL5ORIpYMIzVjrA17bN2tXsc90L3rC92RT/BQS3KVd7HpsVvUMtz5b5AQSwINWd3PxbprdfscMeG8Fj839l/VJ54p8H0+SRBJCCCGEEEKEi9Z8wb3hVYmkuCuR7NITqbIrVhKpSZMmpKen06pVK1544QXmz5/PkSNHCj5RVFmZRDDPTz+hfaZ76anZSmslqdj3+HzloWJeQeVR3c8APG0ZQSvzTNTi/VMhC5Pr+26tHA46tigr0vnjUN1JpGMXsjHbZH6yEEIIIYQQomj0nkmkm95zPdRpFGyq9ESqKor1zvjWW28lOTmZPn36sG7dOu6//36aNGlCrVq1uOqqq8IVo6hkxlofYKH9Ep/9Xxom8bvxBW7QrA54rgYHJsxBr7/jeFqRY6tNKkmmu13bax2tcBQzgZRnl6MhAE/r/0ddglQbqeGpIPKsRLp80mJunrYyLNcVQgghhBBCVD0JqZsA+D3xGWju7vOq1SrY8tqTyHS2Sq9YjWh27tzJmjVraN++vWvfkSNH+Pfff9m8eXNxYxPl2LTBnXhs7r9FOteMgQeto4mznqeF5ihzDBO9r214nxhrFuscLTmkJlCX86w2Pe415jtbL8bYHiI8k9ecIslhg+kRr33HqB226+9UG7keTzO8x+2W8X7HFSeFtDsljQY1Iok26nxyUeGqcBJCCCGEEEJUMQ47tbKdMyqS4np7HdJpFI/V2WQ6W2VXrCRS165dycjI8NrXsGFDGjZsyM0331yswET51rtFnWJf4zQ1OO2oQfecadyrW+CaQgYwUf9Z0HMH6Zax0tGG+Q7fqXFFNdMwxWv7evMEQklS6TShJbLWOFq7HnfV7KWBcpqjapzPOEcRexmt2HeGIZ+tpWHNSP4Z0wd7mCqahBBCCCGEEFVcTipK7sfdjgjvD9pldbaqpVjzdEaNGsX48eM5f/58wYNFpRK++h84SU3esN1J15wPCx7swXP1tOJqpKTQ3aPh9RXmqexUG4d07ornQpu6aUfr9T3+YHjF77iipn5+23YcgCPnsrDaHdJYWwghhBBCCBEe2c73/OlqBHqDweuQ9+ps0hOpsit2T6RFixbRrFkzhg8fzieffML69esxm4P3rBEVn0YJZxrJ6TTVgx4fbRnBYntHr31NlBPFvq+Cg2XGp13bl+RM56gaeqVVfDWTz77Fo3v5HXua6hxy1AWgrnKBLorvSm05VkeB9zybYeajZQc4lZ6DxeZg3aFzWO3upNGM5QdDqmjafiyVn7ccL3CcEEIIIYQQogrLTSKlEoVO651GkNXZqpZiTWc7dOgQmzdvZsuWLWzevJnJkyeTlJSEVqulZcuWbN26NVxxinKmBHJIAFxhfpeHtL+SotZgjP471/62OZ+SQSQ/OK4Eq+pqfv2qbhb3WscW+X4GrDyv+9q1/ZJ1GGepVvRvINdFcdEBj91s+S9bTQ8BMES3iA3Wll7HJ/+5G40CD/e6OOA1HvlqE+sOneODJfvp26ou8/495nX8z+0pHE/NKTDOG95fAUD96iYuaVSzwPFCCCGEEEKIKijLuTDQBTUavdb7zaB3TySZzlbZFSuJlJycTOPGjb36H6Wnp7N582ZJIFVyJVGJBHBUjeNl230ALHZ05hHdz7xtu40MIj1GKcy39+Bm7SoaKSeLcTeV13WfM0i3DIALahRf2vsV43qhSSOaW82v8IPxVa7TrOdlMkkjymvMxD92B00irTvkfBJPz7H5JJAAth5NLVRM+09lSBJJCCGEEEII4V+G833XabUaOo1vJZJNldXZqopiTWd7/PHH2bhxo9e+mJgY6taty5AhQ4oVmCjfQuwlXSy71YY8aX2Mw2q8z7FptlsAqK+cQUPB07/8uVqzyZVAAjCjL9J1Anni6mYBj21Um3NOjcaoWLlf93tY71sU0oNbCCGEEEIIEVB6CgCn1Bro/FQi2aUSqcooVhJpz5499Orl2/tlyZIl3HXXXcW5tCjnSqoSKVQH1QQAdIqDbw2vhXzeZZodDNT8wx3aJYzQ/eJ1bJz1/rDG2Kimu3rqiqa18x1VOK/GAPCk7kcUP4mwo+ez+HN7SpFXaxNCCCGEEEKIsMhwJpFOUt1nOptWq8Emq7NVGcVKIsXGxnLu3Dmf/T179mTdunXFubQo58o4h+Ru3AZ01ezFiKXAcxQcfG34P942fMRk/Qy6avYC8KHtJprnzGaR45KwxuiZ+pnzQHca1IjwOv5S7rQ9gNqk+Zx/xeQljJizkT93pIQ1Ln8kTSWEEEIIIYQIKMfZLiNVjfKZzubsiSRJpKqiWEmkm266iTfffNP3ohoNFkvBb+pFxaUUMYvUtE7ghtOFNdvW1/X4du2yICOhOun8R7PC77EptjuxBJnK1qR2FF0b1yhakEGscrTluOrsQ1RPORNw3Iak83y19jA7j/smmoQQQgghhBCixNmcK7Bb0PtWInkmkWR1tkqvWEmkCRMmsHz5cq655hpXI+2cnBwmT55M+/btwxKgEIG8YruPFNWZ3HldP9OnN1JzJZnndV/zuHYem00P87bhI59r/GNvF/D6DWtGsvf161g8uhdf3t+90PGFkmZLVZ0NtecbXw44ZvHuk4z7cTvXv7e80DHkN/TzddjsReshJYQQQgghhKii7M4iEQv6oJVIZ9OzSj00UbqKlUSqXbs2q1evxmAw0LFjRyIiIoiJieGXX37hjTfeCFeMohyZekdHZg/vViLXvrljvUKf85btdtfjx7Q/AXCHdglJpsEsMD7HCN0vjNb/z+e8hfZLmGu7iqetI/1eN9qo458xfTDoNEWuusrv+nYJPvvWOVq6Hn+on+r3vKSz4XsiXrb3NIt2nQrb9YQQQgghhBBVQF4lkqrzaaztUMGWm1rINsuMpMpOV9wLNGrUiN9//53k5GT+/fdf9Ho93bt3p2ZNWS68MhrQPgG9tli5x4A6N6zB/M3H/R67OC6KA6czffZ/b+/Nf3UzMSlWntb/j/mOHkzWzwh6nwcsowvsf9QqIcZr218j8S6NavDfW9oGvY6np/s2p029WJ78ZrNr3xTbnQzVLQTgeu06Otj2s0VtGvI1iyLbKvOUhRBCCCGEEIXgUYmU//1gtsWGXc3riSTT2Sq7ImUDXnjhBZ/G2YmJidx0001cd911kkCqxIpbkxPs/GAFP9UiAvcsGmEd5Xq8zPh0wHG9zW9xi/m1kBpo518QTeMntvE3taFVQmyB18pj0mu5uWN9r32ZRNA+x530mm982e9KbeH065YTPlPa1ArQWfvdRfvoP/Uf0nLkD5MQQgghhBClytUTSYcu35ujDLMda+50NptVXqtXdkVKIp04cYIbbriBhIQEHnroIX777TfMZnO4YxOVULO6RWusrfWXxcm11NHJ7/7nrA9ylflNvrX15lbzKySpCWwOscpHzZdVKcqUtlBPSSOKydY7Xdv/p/us0PcqjL93n+Ljfw6W6D1KwjuL9rI7JZ0vViWVdShCCCGEEEJULXZ3Y21dvkqkLIvNtXq2zSrT2Sq7IiWRZs6cycmTJ/nuu++oXr06o0ePpnbt2gwcOJBZs2Zx5kzglaZExRZqMqVbE99qtIGd6vPfmwNP/wpapVRADdQyu3cj95/tl/GtvQ8H1Xo8Z3uIjWqLoOfnl78wx18Oq6itkvxda7r9RlbZWwMwWLeEKzVbinbxEP2w8WiJXr8kWe3u/zsHT2ew8fC5MoxGCCGEEEKIKsCWN51N57M6W7UIvasnklQiVX5Fbm6jKAo9e/ZkypQp7N69m3Xr1nHppZcyY8YM6tevz5VXXsmbb77JsWPHwhmvKKc6NKhW4Jj/+087akUb/R7TahSfjLYn1Set4+17ey/X402Opky0Di4wnmDyT2fLnzyLNupoWqdoVVXTh/ibTqfwhPVx19YXhslcptlRpOuHoiJPCfP8X3HVW8u4dfpq9p/KKLuAhBBCCCGEqOxyK5HMqu/qbEMubYQtt92yzSaVSJVd2Dokt2rVijFjxrBy5UqSk5MZOnQoy5cv5+uvvw7XLUQ5EKj4ZtyA1gWOC1a58+nQLnRtHLiXVnpO8GbQfzq6Ms9+BWOt9zPQ8honqBV0fIGCNAn67uHL2PjSNRh12iJdul/rukwb7DsF7wzVuNX8imv7a8P/hdwfqT6nmaT7hKZKaBVG+b+9gpJ05Ym/qrQ1B8+WQSRCCCGEEEJUEUEqkUx6Lde0ca60feRMOmabvdTDE6WnWEmkoUOHMnPmTNf24cOH+eOPPzAajdx///3Mnz+fZ555pthBTpw4EUVRGDVqlGufqqqMHz+eevXqERERQe/evdmxo+QqN0TJUoCmdaKZOayr3+NP9W0e9HwbOp62juRr+9VhiSd/JZInrYYiJ5DAWdV0Q/t6fo9tVFvwrm2ga/sr/YSg12qlHKYGaaw0PcmduqUsMo4hyTSYZYZRPKL9GSMWNCXcqDvczDY7WZbCrSCXkppTQtEIIYQQQgghgvVEAlC0zkokPXZ2n0gv1dBE6SpWEumvv/6iZcuWAJw/f57OnTszcOBAWrduzZ49e8IS4Pr16/nkk09o3967582UKVN4++23mTZtGuvXryc+Pp6+ffuSni6/sCUp1D5A/sZpQji5T8s6XN8uPt95cG2beL+9hEqKI0glUqgrmRX07Y67vpXf/e/YbmOlvQ0APbQ7aat4N8GekdsU+1LNTv4wjuVf0wifazTSnOI5/TfsMQ3joGkICfhW6izZfSpgbOuTzvHaLzuDJnMOncnk8NnMgMeL6tIJf9P65b/Isfr/BMPfzzU1u+JOzxNCCCGEEKLc86hEyr86G4DZ4UwtaJEqpMquWEmk1NRUGjRoAMB3331HvXr1SE1NZfDgwYwdO7bYwWVkZHD33XczY8YMatSo4dqvqipTp05l3LhxDBw4kLZt2zJ79myysrKYO3duse8rSkawpIpnz6E6MSavYwnVIgD8Zrwb1owMT3D5BEsUhWvi14NXXhTw2HDrs67HvxpfpBrOnj8//XuM//t9l3OM9o+Q77Xa9DiekZ/NtHDfrPUBx9/+0Wo+X3mID5bs93s822Knz5tL6fXGUqz28FU6qarK+SxnQihQn6O83xSHR7lYUZucCyGEEEIIIQqm2p1JJKuqw6jzfV/W5aI6AEQpOWiPrgF74WYWiIqjWEmkxMREDh06BMC8efMYOnQoBoOBBx98kJUrVxY7uEcffZQBAwZwzTXXeO0/dOgQKSkp9OvXz7XPaDTSq1cvVq1aFfB6ZrOZtLQ0ry9RMvz1rQn2Pl/1yNqo+TI42txMt8FPEilCX/RpZcHo/Twx5qkWoS+Re3oyY+ApyyOu7ed03wAw6tvNALRUjtBPu9HrnGGWZ+lrnsJsW1/usTzvc81dxvu4VrPO7/2yLXa2HU31+dkfOuO/0uh8lrthXnaAiqGi8JxGqCjORNKA95bz479HvfYDWB3u5JXkkIQQQgghhChBDucHvVZ0flt7VIt0FgJ01+ym7V93wD9TSjU8UXqKlUQaNmwYjz32GGPHjmXx4sXccsstANjtdjIyirda0jfffMOmTZuYOHGiz7GUlBQA6tat67W/bt26rmP+TJw4kWrVqrm+EhMTixVjVZR/lbLCCGU6G/hW+uSVS97QPsFn7NQ7OxY5nmDeuK29z7537ujA89e1pHndmBK5Z34/Oq5wPR6sW0zeT6aXZgt/Gp1Jon8dTWmcM5fGOXNZ6ujEPrUBr9juY7mjPR1yPuFl61DMqjPpFaFY+NgwlYuU4z73ev23Xdw4bQWbjpwv+W8sCLtndREKj3/9LzuOp/HUt1vc+3N/j2x21WefEEIIIYQQIswcDhTV+QGuDS0Gfx+4a/N90L5meikEJspCsZJIY8eO5Y477mDVqlVMmjSJpk2bAs4+Rg0bNizydZOTk3nyySeZM2cOJpMp4Lj8bxxVVQ36ZnLs2LGkpqa6vpKTk4scowjuxg6+jaODvc9vVCsq4LG8SqSXb2zNo30udu3/a9SVtEqILXqQAXz70KV+E0X/6dSAEb0u9nNGSVF4xPKka2u3cRixZDLbMNm1b5G9c8CzU4nmC/u1tDDPpnvONNf+xcZnAq769s/eMyFF5pnoC7VHFMC/R85zLjPwsp+evagUBU6l+TbMfmvBHib/udsriVQUZpudVfvPyOoRQgghhBBCBONwT02zofGfRNLogm+LSqNYSSRFURg3bhzLli1j9OjRrv0nT55k8ODBRb7uxo0bOXXqFJdccgk6nQ6dTseyZct477330Ol0rgqk/FVHp06d8qlO8mQ0GomNjfX6EuHhOa1s7gPdubOrb5VXoATfp/d2oUltdxIpf1IiL4kUadBxVzd3crKkik+6NalZMhf2o6Ak2B+ObhxTawFgUqxsNT3odfxT+/Uh3eckNZljc69cd5v2H7/jLPn6G4WSIMo/Bc6T1e4gw2zj8NlMVh04w38+XMXVby1l1YEzfLE6yWe8ZyWSRlEw23yTXQ4Vpi894DWlLhR2h0q2xc6slYc4eDqD8T/vZPCna3lh3vZCXUcIIYQQQogqxeGxiI1G73p/5sWSrw1G/sokUWkUKT34wgsvcMstt9CtWze/x5999lm/+0N19dVXs23bNq999913Hy1btuS5557joosuIj4+noULF9KpUycALBYLy5YtY/Lkyf4uKUpY2/qxDO7ekPrVI+jRtLbXsfrVI/j4nksCntu7RZzXtppvQptO636S8pwSF64cUtfGNfj3yAVsuQmM0pwa9c2Dl9LhtQUAGHQaLD5JE4We5nc5aBric+5V5jcxYwj5XuNtQ7lWu4E4JZU39J/wu707mUQUJ3zAO/GT3zVvL+Pw2SyvfeezrAyesRaAxJqR9GlRx3XM5nGtX7ceJ8McuCHf7hT3SozBYgCw2R30f3e5q1l354bV2XTkAgA/bDrKW4M6BD1fCCGEEEKIKsujEkmrC5BCaNDVe1sb+vsUUbEUqRLpxIkT3HDDDSQkJPDQQw/x22+/YTabwxZUTEwMbdu29fqKioqiVq1atG3bFkVRGDVqFBMmTODHH39k+/btDBs2jMjIyGJVQImiUxSFCf9px6N9mvoc69K4Bm3rVwt4bkG9krRKgCRSmHI9X97fnRcHtAJgyKVFn4aZn7/m4vlVi3Rn6P0l9AEcaGiRM8tr363mVzio+k4ZDMaGjpvMr7u2r9Bs8xkT6tQ0z+qjYPmb/Amk/DYmefdg8lxx7f3F/leGyzNijruxuM0RfIW4vSczvFZ7y0sgCSGEEEIIIQrgsdKaJlCFUc0mWBWje1ums1VaRUoizZw5k5MnT/Ldd99RvXp1Ro8eTe3atRk4cCCzZs3izJnQ+qoUx5gxYxg1ahQjR46kS5cuHDt2jAULFhATUzpNjyurBjUiGNO/RaneM38yKC7auw+WZ7mk99jwZJEUBYb2aMzSZ3rz2k1tw3JNgEsa1SjU+GDJNDMG2ud8wsOWUVxjnsJGtWj/j05Qi5/tlwHQVpNU4Pg/tqdw9VtLOX4h22t/jtWdtHH4yTzZHSpbki8UeH1rvulzqdnWACODK6g/0h/bTxTpukIIIYQQQlR5uZVIDlVBrw9cYZRuindvSCVSpVXknkiKotCzZ0+mTJnC7t27WbduHZdeeikzZsygfv36XHnllbz55pscO3YsLIEuXbqUqVOnet1//PjxnDhxgpycHJYtW0bbtuFLAFRVg7okMrK3bzVRUVzfzvkkcv8VTYKOyz997MErm3j1SKoTY/IYi9/HxaFVFBRFoXHtKDSByoGKILFmJItH9+Lfl/qGNL6giqw0ovnL0Y39aoOg43o2qx30+AJ7FwAe1/1EIyXwaoZ5DpzOZNjMdYz/eYcrmfTKz+4+Qv6mkr3x1x5u/mBlgdf2PDPDbKP3m0sLPMcffzE4HKorSVVQVZMQQgghhBAigNyeSAGbaueya93v26xoA44TFVuxGmt7atWqFWPGjGHlypUkJyczdOhQli9fztdffx2uW4gK5oPBndnySj/aN6heqPMiDTqm3tHRtf3qzW1cj0uiJ1JByZviuCgumhpRoWXhwxHGVS3r8OX93YOO+cvhnq+8zPi017H8/ajy7D2ZwaxVSTz4xQYAVu4/6zrmWYl06EwmX6xO4qNlB0KKV1VVMsw2Jv6+i7av/BXSOf7Y8iWRHA6VAe+v4Lp3lxfYL0kIIYQQQggRhD0viaTDGCSJpGrd09lyHGFLNYhyplj/Z4cOHcrMmTNd24cPH+aPP/7AaDRy//33M3/+fJ555pliBykqJkVRqBZRtK78nm/768a6M9olkfAJZ/VRcYTje2sZX/B0Tis6vrb1cW1/qn8j5OvvOJ7ms8+zHVGfN5fy8vwdIV9PVeHtBXv5+J+DIZ/jz/J9p8myuOdqJ53NZNeJNPafyuBCIVdxE0IIIYQQQnhw2IGCK5Gsivu9n6pIT6TKqlhJpL/++ouWLVsCcP78eTp37szAgQNp3bo1e/bsCUuAIgSKFcVwuqyjCNms+7oW2C+oSa0ov/s98z2Vrb7E71KZhRTqz2Ss7QEyVecnBddo/6UO5ws4w21GvoSPPcRu3AoOWihH0OFO9hw5l8XuFN/ElCcNDq9z/DmfZWXEnE0ALNlzilunr3Idk0IkIYQQQgghisE1nU1LrClwkYDFY+Voa9EWghcVQLGSSKmpqTRo4OzP8t1331GvXj1SU1MZPHgwY8eODUuAomCRTd4n+uK30EYWv+9LadTk9G5Rhzu7JgYdUy1Sz8rnr2Lji9d47fdc8SzUlcQqCo0CY/q3INqo455LGxXpGv6aXPun0Mb8uWtrnelRAD5edpD7Zq4Leub//b7La9tic3A+s+Bqn3+ND/OX8Xn2m+7lZs0KABbsPBl0Gt8D2t84aBrCftO9JJkG8z/DePQBEkr/7D3NFZMXc9/M9ZzPcjfolulsQgghhBBCFENuY207WhKqmQIOM5giXY+lJ1LlVawkUmJiIocOHQJg3rx5DB06FIPBwIMPPsjKlQU31RXhoTWeAkBXbXPZBlIIobytr189glrRRq99SiF+Y78Y3o0nrmrKsB6NCxVbaasb6/wer2wex8jeTdnySj8ujvNfiVWgQuVLFN6wDnJtNVGcK5gt2VO4qrZrp/5Dp/8uJPlclt/jkeSQZBpMdSXTte9dw4eu6iIlQOoymixe1H/lta+LZi/7TPfSQPEf49Hz2T77Nh0JvcpKCCGEEEIIkU9uTyQrWuoGSSIl1HbPNrGokkSqrIqVRBo2bBiPPfYYY8eOZfHixdxyyy0A2O12MjIywhGfqKTyL+0eKu++QcEzJh0aVOfpfi0w6st3U7d5Iy/nxQGtePUmZwNxrUbh2rbxBZzlX2Frbj603+R6fINmdZHumefXrSd89ik4WGV83O/4x3U/OcfkyyFFkc2tmn/Ybnog4L1+MYwLOa6RX20KeawQQgghhBAin7yeSKqW2vk+5Pek0bkTTCcz7CUeligbxXp3PXbsWO644w5WrVrFpEmTaNrUuTT8+vXradiwYVgCFKUrylg6c1ettqImkdyPC5q55apaKuezmepXj+CBnhcR4zG/OKFaBFte6cfd3Qv370gt5Bw/FQ2vWu8B4HbtskKdm1+O1fcPxd3av70qkL6yXe16/KRuHtdr1nD+uHMlt9ZKEk/p/scO0/28ZfjI6zpdcqbTPGe2a7uGkkGSaTCDtEuIpeQS1vM2HeWez9aS6jE9DpyrvwkhhBBCCFElePREijEFeb+odb+fOZPt4PDZzMBjRYVVrCSSoiiMGzeOZcuWMXr0aNf+kydPMnjw4GIHJ0rPVS3rcGXzOAYHSVr882yfgMcKy1LESiSvnki5/502uFOAsRVbtQg9r93c1mf/m7d3CHhOUfpEbXFcDEBDzWkGa/8u/AVy+UsiPaf7xvV4rq0Pr9vu5nrzBNe+Dw3v8av9EZJMg/nd+AJP6ub5XKNJzhzOUA0LeiZZ7/Q6NkU/g8n6GUWOOZBMs42v1h7m6e+2sHzfGab+vdd17IvVSXR8bQHbjqaG/b5CCCGEEEKUO3bPxtpBkkga9xQ2Kzr2pKSXdGSiDBQribRt2zZsNt8mt88++ywvvfRScS4tikItetpkaI/GfDG8Gya9/7mr1SP1NKwV6fdYUViKWInkrwnzDe3rcWDC9T771Xz/rYjyr9h2fbt4EmtEBBxflO91h9rY9XiC/rOQEkkafP//fZxv1bbmSjIxirNH0U3m//KC7UGyMbFTbcx/rUNCiq19zieoHk9TH9lvYqB5vNeY67TrWWJ4itqEL6nz3YZkxv243bV9NsPdOPzl+TtIy7Hx9Hebw3Y/IYQQQgghyi2PxtoxQVZn8/wY34qWLItMaauMipVE6tChA9HR0XTu3Jn77ruPd999l6VLl3LhwoUwhScKp+hJpMJOgwJcU63uv6JJoc/9T2fnqn49m9Uu1HmePZE8Q86fbPE8XpTvrTx5pLezUqhTw+q8eXuHoImiglZn81d+asbAAxZ3JeEE/WfcpFlJNFl0UvYxVvcVL+i+oqdmK6AySz+Zg6YhJJkGe33lrbimwcFiw9MsMD7nuuZW9SKve35mv57uOdP4yd7Da/94671Msd7BCnsbrjS/QxrRPvFuUptzs/k1vra5K+OaaE6ywfQI7+vfC/r9B/LF6iSvSqqFO096Hbc5HD5T2ByqSrbFzperkzh+wbehd352h8o/e09zIavgleyEEEIIIYQoN3KTSNaCprN5sKtaUtJySjIqUUaK1QBnxYoV3HbbbTRp0gSz2cysWbPYsmULiqLQtGlTBg0axOjRo6levXqYwhXlyas3teGOrom0qVet0OfWrx7BjlevJdJQuK79Xj2RCqi7MZXzhtqhGnNtCwZ3a0iDGhEo+Uqx/nm2D2sOnWXM/7YCuH6eLeNj2J2vfDQuxsj6cdfQ/MU/fCrBFjku4VHLE3xgcCZh3jN84BPHQ/wWNM53DR+yxXwx43RzuUiT4to/zjocfwnOk9RklPUxRlkf8zn2of3moPfaojZlu60Jd+mWeO2/UbuG923/Ya+aGPT8/F6ev4MLWVaeuLoZ4JuM+31bCp32L+THke6kl6rC5D93M2tVEu/+vY8NL/YNeo9v1h9h3I/baVI7iiXP9C5UfEIIIYQQQpQZmxkAC3pqBatE8nivouD8wFVUPsVKIj322GN8+OGHrlXZAJYtW8YDDzzA0KFDWbBgAXPmzGHdunXExcUVN1ZRzui0Gto3qF7k84vSxDtQJVJ+vz5+BUadtsBxFYGiKCTWdE8lrBvrXvWgYa1IGtaKxGy18/OW4zx0pbNqafbwblz37nLOZbqrXgqqyPrNcSkvqnNIUM4VOdalxtE++7619y7y9YKxo6VZzhf8N2EVG085eEP/CQALjM+x1tGSTNXEVdrNACy2d+R12xAOqvUCXm/r0Quuxxo/8yZTs61M+H23a9uhqizdcwqAMxmBq4vsDpWPlh3gjb/2AHDojDQYFEIIIYQQFUhuEsms6okI0P7Eyf0aWqOoRV6RW5RvxSrV2L17N61bt/ba16tXL9555x02bdrEkiVL6NKlCy+88EKxghShquitpAvmrydSnru6OafXfXLPJbSt766OquA5JB9Nakcx9Y6OzLm/u2vfPZc15vsRPagW4fxkoG6siUd6Xex1XijJtGvNkzGrvp8u7HXU53d7N9d2l5zpdM35kIty5tAs5wt+sV/qc87ntv60yJmFrRi56m8e8r2uJys61icM5nt7bz6zXefa312z25VAArhKu5nFxmf4zTCWHwyv8In+LWqQ5nWtRbtOuR77SyLll2mxk3Q2q8BxX6097EogCSGEEEIIUdE4bM5paWb0GHRBUgj5KpFssqJxpVSsSqSuXbsyZ84cXnvtNa/9bdq0YcGCBSiKwrPPPssdd9xRrCBFySvon3d5qeZRglQiTfhPW57p15xa0Uav/eUl9nC6pVP9Asfc1b0hv2w9ztbcVcQK6pcEkEYULcyzMWJBi4MsTF7HtVY7drw/fXCgYYz1IZopx2ipSQZggHmCV8PuourSqEaBYy6uEwXABNtgUtUontb/L+DYNprDrseNlJNcZ5mEwyOXvnj3Sa5qWTdosjLP6XRzwYOAf49c8Ls/22LnwOkM2tSL9ZmmKIQQQgghRHlht+SgwZlE0muDvW71qETCUeTFlET5VqxKpA8//JCpU6cyePBgdu92TvOwWCy888471KxZE4C4uDhOnjwZ7DJCFEn+1eIURfFJIOV32yXOht4PX3lR0HGVQbRRx8+PXeHaLswHAWYMPgkkwCeBlCcbE7dZXuFF6320z5kRlgRSu/rV0GkLfoqqVy2CJ65uhh0t79kH0jHnY6ZY72CK9Y7ciqkPWGjv7HNeC81RPte/gRH3VLThszaw7tA5lu874/dehcn1LNp5kncX7SM9x3cFS4DBn67hhvdX8MvWE6FfVAghhBBCiFJmszgXkSlMJZIGFZtDkkiVUbEqkdq0acPq1at57LHHaN26NUajEZvNhk6nY+bMmQD8+++/1KsXuA+JEIW1dXw/LDYH0SH2VPJswP3Gbe15rn9L4mKMdEyszkVxvqt/VVZ5lUglVfOSQSRz7MGbSwdzU4d6/LzluGu7oMbpnjo1rO56fIEYn8bcD1pH85DjVzpp9vOJ7QYGaNfwgO4Pemu3sEc7jPssz7LE0QmAQR+vDngfzx5TwVhsDh74YkPA4/M2HXVVKH27/gg3dQj9OTL5XBb/23iUoT0aUzPKEPJ5QgghhBBCFIXdkjudTTVgCOFDXnAmkay2SjglRBQ9iWS32/npp5/o168fS5Ys4fDhw2zZsgWtVssll1xCfHw84KxEmjRpUtgCFiI22IoAfnjO4lIUhbgYZ7XSde0SwhlW+Zf7c+jZLI5Fu8pfdeDlTWt5JZHCqWHNKD45dyPkLhCx2XYxcUoqN2tXATDT8AZjrffztf3qoNfZePh8gfcy2+x0n/B30DFPf7fF9Tj/LMOPlx1gz8l03rytAxqNb8rvPx+u5EyGhe3HUvlsWNcC4xFCCCGEEKI4HFZnJZJNMQRvw9BlOKz5EAAFB1apRKqUijydTavVMmTIEE6fPg1Ao0aNuOmmmxgwYIArgQTQs2dPbrvttuJHKkIQWo1Jz2a1SzgOUR7lVSK9cVt7nunX3LWcfWka2DlwLyedxvvpKH9y5ZaO/qt1Qpli9s4dHanlUbVTJzaCF63DvcZM1H9GL82W/KcW2t6UDC5kWQt9nsXm4J+9p5n4x27mbTrGqgNn/Y7LWwlu9UH/x4UQQgghhAgnh9VZiWTVFFAFX7sZXP0KkFuJZJdKpMqoWD2RunXrxqFDh8IViygljfL1EgKIDLpUY8VW0NL2VUXeT6FGlIHHrmpG/eq+PY9KWueGgRtl63XBk0hGXeDf0XrVIoLe95JGNbySTTlWB+lEcnnOu3xn6+XaP9swmXmGl9Hhv49RMGabs8ypsHO/VRX+3H6C5i/+wb2fr3Ptz7IUPgYhhBBCCCHCTc2dzmYvKIkEEFEdyO2JZJdKpMqoWEmkJ554ghdeeIHk5ORwxSOKo4i5kju7JtKtSc3wxlKO9GoRBxDy/N3KKv/qbB0TC175rKgGtEvgorjcVdP+04737urE0MsacUP7wFMIDflWesj/62zSB/7/1yI+hjdv7xByfC3jYwA4RhxjbA8zwDzBdayzZj87jPcTh+fUNbXAxFKLF/9k69ELIa2C52n1wbOMmLPJZ798ciOEEEIIIcoDh82ZRLKFkkRSnK/ZnZVIkkSqjIr1rvr2229n/fr1tGnThiFDhvDpp5+yceNGLJbQms+KcAttOpuSb9ykW9tX6iXG+7Sow9wHu7Pi+T5lHUqZyr86W4v4GOaN7OHaHnJpQ75+8NKw3GtM/xYsHt2bpEkDGNy9ITd1qMerN7cNutpa/ulseV65sTWtE2ILnH6Xt/JeINUj3X/0Hux5EZMGtnNt71Abs9Hhvr5RsbLe9ChJpsF8qJ9Kkulu9pvuJck0mHr4X7kN4KZpKzmbEZ7nv0fnbuJ8poVXf9nBVW8uJS2n8FPkhBCirC3ZfYp9J9PLOgwhhBDFkTudzVGIJJKCQz4UraSKlUQ6dOgQP/74I6NHjyYrK4uJEyfSrVs3oqOjad++fbhiFGE2tEejQp9TkaeEKYpCj4trUyem9KdvlSf+/h92bliDN2/vwHVt43n22pZcdnGtsNxLEyAp6bm3ed1o+uRWiYHvdLY8913ehN+f7EmtaGOxYrqrW0MAujWuyTWt6/ocv9vygt/zrteu89p+RPdz0PvMXXfE7349Nq7SbGKs7iuGaBeiUPAnMz9vOc7MlUkcPJNJ+/ELePWXHa5jxf0nuXDnSb4JEKsQQoTDtqOp3DdrPX3f+Yf3/94n03SFEKKismQAYNZGFTw2N4mkxSGVSJVUkVdnA2cz7UaNGnHzze7ltNPT09m8eTNbt24tdnCiZDSsGUX96hEcu5Bd1qGIUhQo6XDbJQ2CVvHc3LEe8zcXbtU0rZ9VxcA7ufT8dS2JMelZssfZnF+f75xQE5cFVdEZc5NT9/VoTJdGNWiVEOt3XA5GGufM5XrNGj40vBfwevfoFvGXoysrHG2pTgYXiMYzPbY09/vJo8PGZP0n3Kpd4bX/kBrPSkc7gsn/M5i5Msn1ONtqJ8dqx1TEfmYPfrEBgO4X1aJJ7RBeEAghRCHtOJ7qevzWwr1Y7A5G92tRhhEJIYQoCiU3iWQpRBLJ2ROp4hYiiMCKlURKTU3l2WefZfHixej1ehYvXkxCQgI9e/akZ8+e4YpRhCzE6WxK8P4y/s+pvNPdqorC9urJc/nFtcOWRPL8NTJoteg8xgWqRPKnY2J1Nidf8Nn/+bAuDJ+1wWvfx/dcAoBGo9Ahsbprf6Cfxu+OS2mR05mmynEOq3XQ4CCNaEAlyXQ3AHMMEwPGNsV6B3PtV+FAQzUlg8s0O30SSABtlSRWEjyJdCE7+BS2nlOWsH7cNUHHFGThzhQeuvLiYl1DCCH8yf88u/1Yqt9xQgghyjdz5gUAIqKrFzxYcX7A2Uu7lReSDwCXlVhcomwUazrbyJEj2bZtG1OmTOHw4cNkZzsrW0aNGsW7774blgBF+VCRp7MJp6L+H1RDODN/v6JA09k890cYNOg9eiRFGoq/QuBVLeu6mmbn6d2iTqGvY8bADrUxGUTmJpAAFMZb7y3w3DH6b9lsepitpgdZbnyKKfoZrmNZqpF9jvoANNccde3XBJjaNnXRvqD3Op1uLjCegkz4fXexryGEEP7kf+kQbdKXTSBCCCGKRWNx9rZrXC++4MGK+/X929r3OZWeU1JhiTJSrCTSH3/8wYcffsjAgQPRat1vAPv378+XX35Z7OCEEOFTlDxg6wBTvzwZdBqe7tuctS9c7doXeDqb+7FJr8Wg80wihV4YGexbKWrFVShm2fvzoOXpIp37qOUJ2pk/5X3bfwC4VbucCbpPSTIN5qBpCEmmwcSQVejrnkrLYfKfu0k+F/q5jvxd1sPManfIkq5CCJ8PISIKWQUthBCifDDana8zNREFvzfwnHrQXVO416iiYijWdDaA6Ohon33NmjVj//79xbru9OnTmT59OklJSQC0adOGl19+meuuuw5wVsa8+uqrfPLJJ5w/f57u3bvzwQcf0KZNm2LdV4iqbsVzfdh5PA2L3cHlF9fmfFbg1cZiTDp+fuwKIHDiyJNnJVJCtQivY4Z809mC5YKa1YlmS+50tvx3LemiuYWOLjTOmYsRC2b0gEIsmcQqmZxWq/O7YSwXa04AsNXRhHNqLP+1DeGA6qxAOqHWdF1rsG6x17W3mR7gTsuLNFJO0kXZw0TbYM4R/I91j0mLsTlUFuxI4e/RvUP6Huz5fkjF6a2Un9Xu4NIJfxNj0rHkmd4yFVaIKiwvYX2RcpwYslBILOOIhBBCFIXJkQmAxhRTwEi8KpEAzmfKCsOVTbGSSNdffz1z587llVde8dqfkZFR7DcODRo0YNKkSTRt2hSA2bNnc/PNN/Pvv//Spk0bpkyZwttvv82sWbNo3rw5r7/+On379mXPnj3ExITwyy1EFdGzWW2W7zsTtHm2pwY1ImlQI9K1XSPKwPDLm/D5ykM+Yx/t09TVlNkzQRSoGkijUZg3sgcWm4OaUQZUVeXyprVIz7ERH2uiQY0Ijp4P3PB9/qOXM2/TUZ7u24L/bTzqd0xpTbw0417iNI0o0lTnz+Fqy1sYcP6xtOA7deOgmhD0ut8YXnc9vl33DwAPWp6moXKKn+2XcZoaRJNFBhGAgi33TdqB05lsTr5AhwbVCnz+teerRHrm+y1MG9w56DmhOnw2i7OZFs5mWrA7VHRaSSIJUVVlW+0AzDe8RIySzRtZnwOyeq8QQlQ0etX5obLWEFnASHySSOeCfCAtKqZiJZEmTpxIly5dAGdlkKIoZGdn89prr9G5c/HekNx4441e2//3f//H9OnTWbNmDa1bt2bq1KmMGzeOgQMHAs4kU926dZk7dy4PP/xwse5dccmbNeFr+pBLWL73dJF6A+VpVMv/HwzPZFGsyf10Ui0icN+Lzg1ruB4risKc+7u7Hv/xZE/ajV8A+O/F1CGxuldzbH884ygso06D2Vb8aVj+kkc7Xr2WNq/8xVmqMdA8npG6+aSoNYlWspluu4m/jM8HvN4Mw9sAvKSf49r3hnUQH9hv8Rp3ywcrua5tPNOHXBI0vlUHznht/7r1BNMGF/RdhcbmkGlsQginLIsdHTZiFOeHA3F7v2H7sWtoW79aGUcmhBAiZA472tz+nQajseDxPpVIkkSqbIo1OT0xMZGVK1eyYsUKsrKy6NatGzVq1GD58uVMnjw5XDFit9v55ptvyMzM5LLLLuPQoUOkpKTQr18/1xij0UivXr1YtWpVwOuYzWbS0tK8vqqqLo2cU2pCmYIEcE3ruiUZjihB0UYd17VLIKIYjautAfrbeBYc6bQatrzSjy0v9/NqmF0QRVFclTMxYWi6+tagjiGN69q4hs++69sFrxIqqhcHtCLKqOOnRy+ndUIsm9TmPGB9lhdt9zPK+hh71IY0yZnDb/ZuAGxzNOZF631Br/ms/ju/+//YnlJgPPlXsAsnz6VcpR2/EFVbtsVONTJd2z00O/jvrzvLMCIhhBCFZncngfQGU8Hj8yWRUqUSqdIpdk+kpk2bsnDhQo4cOcKWLVvQ6/V0796dGjV836AV1rZt27jsssvIyckhOjqaH3/8kdatW7sSRXXreic26taty+HDhwNeb+LEibz66qvFjqvcKsQ7thdvaEVizYgC3zQ/0vti6leP4JZO9YsZnKjIPKtzPKec5V+1L1gFUmF1LKDiKE/+mVtNakehUaCg3tFN68Twx5M9uWvGGi5kWYk16Xjt5jb8+O+xogUcRGzuz6VjYnV+f7InjZ//zWeMioZHraN41GPa+Bx7X2qSxkO63+ij+ZcWGu8pfNP07/K0daTfyqey4plwlEUdhajasix2qisZru26yvmAH0oIIYQopzySSAZj4ZNItsxz4Y5IlLGwLZPRsGFDbrzxRvr37x+WBBJAixYt2Lx5M2vWrOGRRx5h6NCh7Nzp/gQrf9+PvCl1gYwdO5bU1FTXV3JycljiLD9CqypScFZ8PHZVMy6K822M7iku2siQSxsRbSx2vlFUYJ4v+pc+09v1uCTeCyx6+kqeuLoZL97QusjXCHXxsVYJsfw08nIGdq7PD4/08KqEur5dPP1a12XUNc2KHAfAgPYJ3Nyxnte+kb0vDvn8c8QyyXYX11qmMMwyhk9sA1zHbtCuZa9pKIO1f3udk9fMNn+SLxzWHTrHin1nAh63lfDKb0KIimPl/jNelUjVlCzsNlsZRiSEEKLQbB5JpCJUIsWm7gl3RKKMleu1Vg0GA02bNqVLly5MnDiRDh068O677xIfHw9ASor3tI1Tp075VCd5MhqNxMbGen0JIQrWvoG7f4XOY6pauwbh/zfUtE4MT/dtTmwxprZdepFzumZe0+9gGteO4u1BHWlW17shf2KNSD65twuXXVSryHHc0D6BDwZ3xqjznko4pn9LejarXejrLXV0ZILtbq4xT/HaP0H/GdVJd233enMJb/y1m67/93eRllV986899J/6D6nZ3qtp2B0qgz5ezZDP1nIhQGmyV8Jxz6mQ77k+6RyPzd3EybScQscrhCh/LDYHB89kelUiARitqWUUkRBCiCLJrUSyqFpMhhAKC2zei+TUT99SElGJMlSuk0j5qaqK2WymSZMmxMfHs3DhQtcxi8XCsmXL6NGjRxlGKETl1KdFHT4Y3JnFo3sBzmqh9+/qRJ9iNOsuSe/f1Zknrm7GVw90L/I18qoa9Tr302T+iqKCBKvJuaF90fsv7VcbMNTyHHsc7hX35hlecd0x+Vw2Hyw5wJkMM28t8P70J39iKM+5TAsOh0pqtpVpS/azOyWdv3eddB0/kZrNcz9sdW2fz3JfR1VVzDbnKkyePZEe+nJjyN/T7R+t5tetJ7zuIYSouPafciaPLtfs8NrfzratLMIRQghRVHYz4Fw4xqgLIX2QftJrU7XKB4SVTblNIr3wwgssX76cpKQktm3bxrhx41i6dCl33303iqIwatQoJkyYwI8//sj27dsZNmwYkZGRDB4cpiWGhBAuiqIwoH2Ca/pj0zox3NihXoFLyZcGnZ/m8HExRp7u25x61SMKfb0RvS4mPtbEAz2bAGDwqLx67ea2PNe/pWt72bO9aVMvSDVWkCzS7Zck0rxu8OmkwSxzdOBayxRGW0YAcJEmhYGa5T7jbA7VNb0N4JX52/1er/N/FzJ89noGvOe+RoTeXUF138z1/G+juyeT51S5l+Zvp8OrC0g+l1Xs1dkOnM4oeJAQotzLS1jfr/vDa/9L2VP8DRdCCFFOmc3OJJAVHdUjQ5gpoPd+/e2wmUsiLFGGym0S6eTJk9xzzz20aNGCq6++mrVr1/Lnn3/St29fAMaMGcOoUaMYOXIkXbp04dixYyxYsICYmJgCriyEqAzuv6IJlzSqwVUtw7ty4PPXtWT12KuoHe1cwlSndSepIg1aejWPc21H6LU+jb09qUGySBqNwoKnehU73h8cPV2P3zZ8RBPlhNfxFfvPcNELv9P4+d9YuucUKw+cDXitpXtOu5qmAzzy1Sa+WJ0EwO6UdK+xnq2P5qw5Qo7VwUfLDnhVIuVRVZV1h86RYS64F4rVJj2VhKgM0nL8Vz0CIG8ohBCiwjh7wfka0Io+tEV0OtwJnYeSXd3ZV9Rhk9XZKpuQk0g///wz2dnZBQ8Mk88++4ykpCTMZjOnTp1i0aJFrgQSOCsjxo8fz4kTJ8jJyWHZsmW0bdu21OIrn8JXFXJd23iMOk2hp+8IUVpeuqE1PzzSA0MoZbWF5FlhVSvK6HqsVRTqxrq3a0YZgl6nWZ3SSGorvG29zbW1xDjaqz/SBY9pZ8NmricrhESOp5fn7yDHavfZb/fTQDstx+Y3bfbt+mQGfbya4TPXF3i/lLQc7v50DX9uTylwrBCi/ErPsWHE/cZhtd1jsYRzh8ogIiGEEEVxNs25QIJDow9tFoLOCDe9R1azmwCwmHP4et0R0oN9uCAqlJDffd155500atSIu+66i59++gmLRTKKldmHd3dm+6vXUivaWPBgISqxuBgjHwzuzGdDu6DRKNSKNrLgqStZM/ZqdFoNT1zl/JTlP53qc/8VzilwT13TnEf7XMwjIazCln9u+boXri50jO/ZB3LA4e6xtNn0sFciyVOmxZkQ0uCgqXIULb4Jovym/Om7qoa/FwLZFhv+FoT7bIXzDeO6pNCWeF25/ywj5oTeT0kIUf5cyLLQWHEng++zPotNzX2+O7O3jKISQghRWDk5zkVa7JrCLXpjMDpXctNjZ+y8bdL3shIJOYnUokULDh06xE033cTs2bNJTEzk3nvv5bfffsMmy7WWE+GrRFIUBb223M52FKJUDWifwNWt3NPmmteNIb6a8w9jvzbxrBl7NW/d3oEXB7Ri00t9efKaZjx7bUtMem2gS7rkHxNl1PHeXZ0KPK9+vn5PV1ve9EokTdB/5ve8CHJYbxzBQdMQFhnHcMB0D3FcCHqvef8e9dn37t/7ALyab2dZ7PhrBHUuUz50EKKqOZmWwxjdt67tHIzMd+QufnJ6dxlFJYQQorDsVufrOLtSuCSSMTeJZFCcHzz+vk2qzCuLkLMEiqIQFRXFXXfdxY8//sj+/fvp168fH3/8MYmJiSUZowiz8tAMWYjKJL6aCY1GQVGUAqe45dci3j3lbe4D3Yky6rixfQLfj7jMZ2xCbuIK4PsRl3FRXJTHUYU7LS+6tq7XruNHw8sM1PyDDhv/p/uMtcaR7DINJ05J87ruetNIkkyDSTINprfmX5/7Wmy+zbKX7ztD8rks7p+9wbVv1YGzfLrce5rKTdNWcNYjibTuUGjVSEKIii0lzcwJtabXvn15K0qe9q1uFEIIUT6pVmdLG1shk0h6g3NGix4pOKlsdKEOVPPNUYiJiWHIkCEMGTKEtLS0AGcJIYQI5p07OvL6rzu5/4omdGnsfMOlKApdG7vffF3Vsg6XXVSL69snkJZtJTXbSr3qET4r052mBo1z5vK3YTQXa07QSbOfTob9vM1HIcczy/AGLXNm0kE5yGG1DlkYybb77+3Uc8oSn30bDp/32t56NNVre+y8rfw9unfI8QghKqZsix0bzkpLteczdNpTncNHcys6Lxwuw8iEEEIUhj7rFADpuhqFOk/ROZNIBkkiVTohJ5G+/fbbgMdiY4MscS1KjapKhZEQFU396hFMH3JJ0DERBi0PXnmRa3weTYCqwhesD/CG/iMaak77HDvgSKChcop+likcUuP52/AMF2u8V3TbbbrPa9us6hiuPssJtRYH1eI12480eP/ZUVVVqiOFqISsdgexirOPhmKqxrP9WjDhs03Og+cliSSEEBWFIcv5OvGCrk7hTtQ6q/P7aTcSY80inchwhybKSMjT2Zo3b16ScQghhAjg8otr+90/qItzKvFFcVHsff061/61aiuutLxLu5xP+cneA7OqZ4W9DVeb3+Bqy1s0M3/JITUBUOhnmcIA8//xsnVowPsbFRtfGSbyk+Flr9WWiiLDY3W4I2ezaDL2d3q94VvRBJBptjH6uy1efZeEEBWD1e4gFueKPpiqoddpOKLmvgHJPAWWzLILTgghRMhM2bmVSIa4wp2odbd4GKebE86QRBkLS+fkjRtlFR0hhAi3Fc/14d07O3JHV/9954b2aMyX93fjp0cvx6DzfTpPJ5JR1sdoYZ7NEOs4Dqj1fcbY0bJDbcIX9mtpnPMV71hvBWCO7Wq2ORp7jY1VsthjGkZj5YTPdUJ16EwmC3c6k0Ivzd8OwOGzWX7HfrH6MD9sOurVd0kIUTFY7Q5iFGcfDUzVqB6hJ41o0sjt5XbhSNkFJ4QQIiRHzmax95izst2ujShgdD5adw+lq7WbwhmWKGNhSSL95z//CcdlhBBCeGhQI5KbO9ZHq/E/3UurUejZLI5Yk/OP9Ozh3Yp5R4V37bfSOGcuL9ru50bLBC7Jmc5Z1bsn0lLjaJJMg7lL+3eR7jL+5x0kn8ti2V7f6Xae0nOsfvdvPHyeWz5Yyb9Hzvs9LiqH9BwrE37fxbZ8fbVExWCxqx6VSLEk5E7FPeLI/ST73KEAZwohhCgvBk5fierIrSLXFq6xtmcl0sl8Cy2Iii3knkiDBg3yu19VVc6dk9V2ygfpKyJEVdareSHLjHO9dXsHRn+/xe+xs1TjEvPHTNVP4xbtKq9jE/WfMVH/GZOsd/KR/UZCfQ46n2Xh5g9WFjhOp3V/zpGaZUWjgRiTnts+WoWqwh2frPGaxicql0l/7OartUf45J+DJE0aUNbhiEKy2tw9kTBVI9rofMl5RK1DW5KkubYQQlQAZzIsaPXOVXo12pBTB07mDNdD13RmUSmE/JuwaNEivvzyS6Kjo732q6rKP//8E/bAhBBClI4bO9QLmETK87L1Pn6092Ssbi4tNclex57Xf8Pz+m8AWGjvzHTbTexWG5KFCYCapJFBBBacn2BlWexkWewFxpWW7a5E6jllMVa7yrpxV5O3WKjF5gj5e8zPYnNwJsNMveqFLM0WpWb7MalAqshsNhu1yF29N8L9CXTeG4mFK9dxdbcRaAJUWgohhCgfdOS+ZtMUshIpoYPr4QU1KowRibIWchKpd+/eREdH06tXL59jnTp1CmtQomTJyzUhqoZFT/fimreXBR0Toddi0Gm4oX0Cv249wYT/tOOP7SdYvu+M17g0oljm6MAySweaK8nUVlJ5SPsbvbXeyae+2k30DTDvvUfOexzH3ST8bu0iOigHeNk2jBycy8BqseNAQUXD+Sx3E++0HGcp9aoDZ72uabbZMeq0BfwkvP229QSPznXG+NOjl9MxsXqhzhcly+FQ+WT5QbbINLYKrabtJCbFikNjQFPN3dctOe/T6AtJ7DuVQYv4mABXEEIIUR7kJZEUXSErkeKasyKqL1dkLsSgFPzhoag4Qv5NmDdvXsBjf/75Z1iCEcUl6SEhhJtJX3Dbu+vaxQMwbXBnpg127hvcvSGNn/8t4Dl71UT2qomsdrTmccdPPK3/X0jxrDI9QZoaSaoaxQ+OnozSOf+uNNUc40nrowzX/sl9ur9c43tsfg/wXpkuf/XRtqOpdGnsf579L1uOs3L/Gf57S1v0uVPj1iedcyWQAOZtOipJpHLmp83HmPTH7rIOQxTDgdMZGFMPggEs1Rpj8pgCkVeJ1Eg5iVpWAQohhAhZXhJJqylkEgk4ZmoGmQsx4L/PpaiYitxYOyUlJZxxCCGEKAP/vbltkc9V0fCefSAPNPmbq8xv8obVf+88T7FKFoma064EEkBnzX6WG5/ySiCBM+k0UPMPCu7EkUP1fdup+tmXY7Xz+Nf/8s36ZH7b6l5N7vaPVnuNM2jDsr6ECKOZK5PKOgRRTFe/tYz7tb8DYK1+sdexvCRSonIah6PoU1KFEEKUDm3u6zClsI21AZviPEePLawxhdOcNYe5YvJiDp3JLOtQKowiv3ru169fOOMQQggRZqoKi56+kgHtEwKOiTIW/lMl32toOajW4wP7LTTOmev11SHnEzrnfFTka79t+IjP9W+gzf0UzGb3Thidz7JyxeQlTPxjl2vf7FVJtHzJXSGbZbGz8fA5zDbfUmqHCgt2pPDK/O1Y7fKGtixZ7Q52nUhjW24vJA0OOit7iSCnjCMThadypXYbAAa794vyY2ptbKqGCMWCPU0+kBRCiPJOlzsVTaMrfBJp84lsAAzlOIn04k/bOXo+m5fnby/rUCqMIieR/H3yK4QQomzNub+713bTOjEM6d7ItV072pD/lAJVi3C+aGhcK5I29WLp2cx7ipndEfjvQSrRnCOWa82TeNzyGBsczZ371Uj+sbdjid3ddPFpywia5XxB45yveNf2H+yqc4puH+0WRul+APBpAD57VRLHLmTz8bKDZJqdL1Be+XmH15jPVx7i1umreWGe74uDz1ce4qEvNzJ79WG+33A0pJ9HsL9/DofKpiPnybHK3P/C+mL1Ya57d7lre4zuW+YZx/Oh/l2Q1xwVRo7VTg3SXdvGPs+6Hr91ewds6Diu1gJAc/5gqccnhBCicPKmsxV6dTYgrppzUa7yXImUJ/8HlSKwIieRFEX67wghRHlzedNa1K8eQc0oA/HVTD7HFz3diwHtAlcm5bmpQz3X44+GXMIbt7Xn9yd78tsTPX16CAVLIuXZozbkF0cPbrOMd1YomT/lXutY7rc+y7PWh+ieM415jiuxogMU3rHdzsXmr/hRdS7m8LjuJxoop3yuu2K/uwH4G3/tYcdx32bM+085l5j9YVPwJNGXaw6jqiqHzmTiCPA9pWZbuXbqP9w3c53f4x/9c4CBH65ixJyNQe8lfP253T3tUIeNEbpfAGcSkS9vKaOoRGGlZVtpmPtv9Ryx0ORK17FbL2nA36N7uZpra9KS/V5DCCFE+ZFXDV6USqThvVoCYFSkJ1JlIs0gKhVJ7AlR1SmKwrJne7Nm7NWuZtKelTNajeI3uZTflNvaux53SKzG7V0SiTTocq/nPTZYEil/1VJ+DjR8b+/NSfw3xz52kbvP0grjKBorJ/yOA9hw+Byv/bIz6P2C2XUijS9WH6bPm0sZ99M2v2P+2p7C3pMZLNlz2m9F0ucrkgBYuuc0aw6e9TkuAqsZ5a6Sa6Lkm+Z0cClknC7dgESRpOXYXEmkZE0Dn+MXx0WTaXA+L2gyTpZqbEIIIQpPl9sTSVuEJFJtj0qk+NiCX3+KikGSSEIIUcnotBoMOvfTu2eqQ6/V8OQ1zbi5Yz0+H9Yl4DVMei1bx/dj00t9Xckj9/W8kyfBCpH0BTSuXvZs76DHLQldec16j2t7qXE07RT/U2B2nUgny1K8aWT//dWZhPp6nf8KCZvHN+v5fe88nsaN76/gTIbZte+pbzcXK5aqrIXi/PmnqZGufbYT/hN7onwx2+wk5iaRTmji/Y7JMcUBoM2SxKAQQpR3rkqkIjTWRmsEnD2R8r9+LG9kolXoipxEMhgK31dDlLAQ/13KPxAhqhbPghmtRiHWpOfdOztxVcu6Qc+LNem9qkPy5Fi9G1A/2LNJwGvote4nnId7XeRzrFGtKDRBnpPiq0Xwuf060tUI175fjC/i7wnP7lBdTZmLyjNJdPxCNpuOnPc67vkCyLMR98vzt/vc22KTRt2Fkfd7pcPGNMP7ACx0XMLv9m4ATP92fkhTJ0XZMtscNHIlkfw/x2TkViLps32nqAohhChf9LlJJK2uCIuxaN2rs5X3P+HyHjl0RU4ibdiwIZxxiLCQ33whhC+H53S2MPyFjDV5fxLV/aJaAcfqNO4/M8/0a+F1LK8J+J+j3D1TXhzQivfu6uTaTsidetfb/DZ/2d2VU9dr1hYh8sLpMWkxAz9cxZ4Ud5Ngz4ScZ0LD7Cdh5G+fCCw7txl5O+WQa99P9svZ7WgIQGPzbpqN+71MYhOhs9gcrulsxxX/lUiZeudzhjFbKpGEEKK807qSSEWoRNLlVSJZZWGuSkSmswkhRCXn+SdbE6zsJ0TDr2gc8ljP++m1Gn4c2cO1nVflVD3S/aLklk716XGxOykVF+N88XGWajxjHeHa/6HhPXQFrPQRRTYrjE+QZBrMF/qJjNV9hRY7Ghy8ofuIL/QTqe6xihSo3KxZQXPFeyrbluQLHiPc8lbx2HE81W8FVIbZFrBBd0moyC/OzmSYWXfoHAAdNfsBsFa/iOWO9ix3tAOgv2Y9iaRwIjW7zOIUBTPbHCRqcpNIAaazZZucjbUjsgP3OBNCCFG20nOczbDdPZGKMBMprxJJsZf/SiQpyAhZkZNIR48eZdy4cfTp04dWrVrRunVr+vTpw7hx40hOltU2hBCivAh3ciHGpOet2zsAcH0755vEj4Z09pmuBlA3NwmUx7MySZubYPL8o61RFHQeiadIg9b1OJ1IhlnGuLb3m+6llXKYCHK87tFSOcJyw5PsMN1PA8W5etuV2m08rPuNzcaH+N7wKrfr/uFK7TY2mx6muZJMF2U3Saa7edfwIQuMz+GZLtLr3PF4/ixtDgf/99tOBry3ItCPis9XHgp4LJye/2Ervd5YSkpqTsGDy6Fbp69yPX5SNw8Aa5OrAPhXbcYSewf0ip17tQvZfSLd7zVE+WAxZ1MPZ1P5EwEqkc5FOp8rYnOOoeYUbwqqEEKIknEyzfmaQqs4K5F0RalEyu2JZMTqVRlfHsl0ttAVKYm0YsUKWrVqxY8//kiHDh249957GTJkCB06dOCnn36iTZs2rFy5MtyxigLJb74QwldJ/M2+9ZIGLB7di/fudE496982gbHXtfIZ98Q1zejbui4fDO4MgEcOySuh5Mmzesmg0zCoi3uFp6WOjvxh7+ra/sM4ll2m4dyuXQpAB2U/fxqfJ1Hjf5pMjJLNJZp9XvsWGJ/jf8bXvPbNM7zievzUt1t4/Ot/uX/WetJz3NVPNofKjOXBk0SzViUFPR4u36xP5si5LD7+50Cp3C/cDp/Ncj1Wc/+WKQ3c0xd/sV8GwI3a1dw3az0bD58r3QBFyLSpyWgUlUzVyHmlmt8xu1L1HFOdFYdnD2wqzfCEEEKEKCXVuViIvjjT2bSG3GuUbnW2KFlF6I4FTz31FA888ADvvPNOwOOjRo1i/fr1xQpOCCFE8cVGFOGPfgguiosu+N4mPTPudScDvCqRtP4T3waPFd1iI/SY9Fqv449Yn+Ip9Xue1P3o2veG/hM0qLyqm+U1dovjIkZZH2W07ntu0K7xOnZejaaGkuE3hs6a/SQqJ0lWnY2Bf9lyHIC/d7sbAWeag0+nAzDqSnbWeGqWlZd/3u7a9mz2XVHkWN0r6sWQ5fp/Ymg9AFgOwC61EQB1lAu0Vw4w8isja1+4ptRjBWc1WkpaDrEmPTuOp9GwZiTP/m8Ld3dvRP+2/itvqhJ9+hEAjqh1An6se+xCNrscDamvPYuash3a9CnNEIUQQoQgb/p4Xk+kIlUi5U6BM2ArkQ81RdkoUhJp+/btzJkzJ+Dxhx9+mI8++qjIQQkhhAifzg2r80jvi2lSK6qsQ+HiuChaJcSSZbERF+0sca4dbeCyi2qh0UCNSD2KovDJPZcAziRU3jhP79huI0c1cqd2MY1y+69M1s9wHX/JOow1jtYcVBOwo+Vp6yP8aL+cTpr9HFbr8r29F6DwoX4q12vXAfCXvQsPW58iyXQ3ALdpl/OO7baA38tVby0r8Ps9cDqTbUdTadfAf0VGcU1fdoD5m4+7tivafP6pi/Zy4oJ7Ct4Q7SLXY21ErOvxPrW+6/GN2tV8orYunQD9+HxlEv/9dafP/uX7zpA0aUAZRFS+aC8cBiBZrcOrN7XxOyY1y8oeNZFr+Jeje/8l7urSjFAIIUQo8qazuXoi6YvSE8ldiVSec0i6ahs5o5iA7mUdSoVQpI9IExISWLVqVcDjq1evJiEhochBAUycOJGuXbsSExNDnTp1uOWWW9izZ4/XGFVVGT9+PPXq1SMiIoLevXuzY8eOYt1XCCEqG0VReK5/SwZ1TSzxe3lW3uT1S/Kk02r4/YkrWPR0Lwy5YxVFYe6D3Zlzf3eU3MqFfm3i6dfGef5tudPZrmham0/v7cJz/VsCCtPtN9HLMpVB5pe87jHaMoIv7f3YpzbAjpZuTWqy+Ll+/O24hDdtd/C9vTd503+fsD7GLkci+x31eNT6BKDwgvV+wNmbR6HwlT3V8K5uunFa4J5JxfXV2sMldu2StjsljamL9vHtBncfxVG6/wHgwLv6zIaOUZaRAHTT7OZ0uhmzzU5Z8JdACibTbONshrmEoilfbHYH23dsBcBerRFXNo/zO+6Vm9pwJLfK78Lx/RW2l5cQQlRmKa4kkvPvrVUtQuogtyeSXrGjqmXzd7tAio2Iet9zVPslZ7PPlnU0FUKRkkjPPPMMI0aM4LHHHmP+/PmsWbOGtWvXMn/+fB577DEeeeQRxowZU/CFgli2bBmPPvooa9asYeHChdhsNvr160dmZqZrzJQpU3j77beZNm0a69evJz4+nr59+5KeXjWbbhpqLgdNlt9jtT0+yVeka5gQooQMubSR63F8bITfMYqioNdqfPYFem5KqBbB1vH9mHVfV65pXZdHel/sPaDR5exwOO87y9aPeY4rAGheN5o/R/Xku4cvo0GNSL/XtqHjRsv/0c8yBVtuce6/jqau4zdqVgf5br11VPazyvgYW0wPkWQaTDvloM8Yu0Nl/uZjHLvgvcKY2Wbn+w3JQd9Mq6rKin1nvBISnj2agHLftNLT3pPeybZ2ykGMivP70dzwFgB3d2/oOr7G4ey51UFzkCbKCSb9sbuUInWzF6Gfw6UT/+aS1xfxzboj9H5jCdv9rORXWexOSaeh4qwMPKLWCTjutksacFLjTDDVU85y6cS/WbjzZKnEKIQQIjQXsqwoOIhUnK87zIqp8BfRuqfAaVVruEILL8Wd3Mqxy4caoShSEmnkyJF88cUXbNiwgdtuu40ePXpw2WWXcdttt7Fhwwa++OILRowYUfCFgvjzzz8ZNmwYbdq0oUOHDsycOZMjR46wceNGwPlieurUqYwbN46BAwfStm1bZs+eTVZWFnPnzi3WvSsqRWvGVPcXv8euaun/00AhhAinMf1blMh1Y016dFr/f7Im3tqOAZaJNM6Zy3jbMNTcP23jb2xDy/hYv+fMus/dnNuGDofHn8M9qrti6z3DB8QT+FMpA1ZaKEdopxzkJ+PL1FPcDZ9/Mb7o6iOQ5+t1R3jym81c/dZSr/3TFu/n2f9tDVq19MvWEwz5bC3933X2CfJcKe4u7d8sNDzL2O0DYM8fAa9Rnmw6fN71WI+Njw1vuw+2ugnAa6W+//TuxjqH8/frHu1CZq5MKpU4Pb25YE+BY2x2B8dzk4R2h+pK9D0/bxtJZ7N44ut/SzTGsnToTCaNFGcy6PKuXYOOzTE5K9ZbaI4SQQ4PfrGhRGM7cjaLF37cRtKZzIIHCyGEINNsIwKLa7ttk3qFv4jOXchwPYFnMpUt9+upitYWoKwUuePnHXfcwZo1a8jKyuLYsWMcO3aMrKws1qxZw6BBg8IZIwCpqc5P7mrWrAnAoUOHSElJoV+/fq4xRqORXr16BZ1qV9npYmQ6nxCi7Bh12oIHhVn96u6Kpzb13EkjrSbwCwGNorDgqSuJMvjG60DDYMsLru01psfRYqe5kkwnZR+LDM+QZBpMkmkwe01D+cv4PL8YX/R7n/XGR4jDnSxZtte5alyO1Xua3JI9zuqN0+ne0552Hk9j/uZjzjG7vcfkVcXcoV3CRP1nNNMcI9qeCl/fGfD79sdic7Dm4NlSnx525Jy7cvZp3ffuBNwl90GUc+WuxrXdfbx6NY/jc9t1APTQlM3fuulLg69+1/j532g67g96TFpM4+d/43uPqXp5Mi3BG7KvTzrH2oMVs5z+bHoOibmVSG3bdgg69mju6mwAt2qXl2hcAMM/W8HctUe49/N1JX4vIYSoDDLNdiJxvuZQUTCYitBbU+OuRJqkLa89k91JJI1SsguiVBbF/inp9XoSEhJISEhAry+ZFYBUVeXpp5/miiuuoG3btgCkpKQAULduXa+xdevWdR3Lz2w2k5aW5vVV6Wj8vwmQrKoQorSVxsxZnUbxWr3N8575k0iLnu7ltd28bgy/PtGTjonV+Ti3kXeejY7mXtubjQ+xwPgcPxpfoanmOIEMME+gcc5cptluBqCmksEXhklgCV79sP2Y798jVVW5/r3lPPnNZv7YdoLIfAkvm0Olm7LLq6G4y+/OKeXbjqYya+WhoMvqTvh9F3d+soaJvxdtetj6pHOM+uZfTqXnoKoq361PZnPyhQLPS8t2lrU3UE7xoPY3AEZYRsGNU11jhlzaiAd7NuHL+7th0mtZ62iJXVVoqUmmmXK0SPGWpufnbfPZdzLNzJ2frPb7/yTHauf2j1ZzxydrQlr9r7yw2h1sPXqBnLTTRCs5OFCgWvAebBkO92vGxor/121hs/U7fs+8k/6adV7JSyGEEL4cDhWzzU6G2Uak4pzepRiiivbCTlP+kzKKUvFWti1rJfJ/NTk5meHDh4fteo899hhbt27l66+/9jmWv4eGqqoB+2pMnDiRatWqub4SE0u+yWzpqzj9MIQQlVtppK51Wu+7eCbM8/8taFon2uOY879Nakfx06OXc20b7ybgZgw0yZnDNkdjAGIU7x5G/rxuvZsdqnP8m7Y7uNX8ChmqiVaaZN5+7216TlnMol2+fV8CVQC9+ou7gfPCnSeJMnovqGqxO3hE97Nre7rtRvfBdR+DzcyN01Yw/pedXPTC71zz9jI2JJ0jv1mrkrz+W1i3f7SanzYfZ/zPO1h94CxjftjKLR+sxGb3/6Js6Z5TtHn5TzYcPo+CgxXGUegUB5sdF/Ono5vXWL1Ww7gBrenZLI5oo5bzxLLY0QmA3w1jixRvebDm4Dl2p/j2b8zwSBxVpCTSSz9t56ZpK/lz+RoAMgxxoA/eO8NmVxmb28S+qRI4MRsW8x7EoNiZqv+gZO8jhBCVwKCPV3P5pMWczjC7KpHQ++8tWTlIEqmwSiSJdO7cOWbPnh2Waz3++OP8/PPPLFmyhAYNGrj2x8c7X/Dnrzo6deqUT3VSnrFjx5Kamur6Sk72LTOvaFSfJqqSRBJCVH55U9i6Nq7ptd8zbxTsA7NgU93yqGi4y/YKBxzu1UYX2TvxrPUhDjvq8Ke9K5fkTKdZzhf0Mr/Np/brvc7fqLbgJ/vlzvtdOEDyuWw8n7JVVWXtwbMcO++doNqd4qxKyp/U8ay4cjhUNFu/pY92CwDXmScy2XYXV5vfcI3J+M17it3+Uxnc9lHwRuEWW9FfSP2+LYX1Se6pe+3GL2DbUedUdFVVOZWeQ2qWlWEz15NpcSbOBmjWusbnr/7K7+K4aBrWjGSBowvgXOnl0Zn/FDnewipKU+1ghny21mdftsWdUDQX4/9FaftmvfP1VFONc+plekSDYMMBZ/XSXodzXHON8/z8DefDLR3/zf6FEEI4qarKhsPnOZNh4XS6mUhyG00bijCVLR+rqvXz3rUckEqkQtMVPMTXzz//HPT4wYO+K9IUlqqqPP744/z4448sXbqUJk2aeB1v0qQJ8fHxLFy4kE6dnJ9KWiwWli1bxuTJk/1e02g0YjQa/R6ruEL7hygLsgkhKpNvH76Ub9cnc89ljbz2KwEe5xnWozEHTmfQvUktP0d9dbq4PgP3vUoz5Sj/m/A0XXNs/P7LDnpt6g3A/Ecv5+EvN3I4zf+f09NqdQAe0f7MO7bbvY5tOnKeOz5Z43NO/6nL6dq4hvf3pSiY9O7PfbKsdjTLJgEww3Y9u1Tnz+GA6m56Gf3vJ5i4jBwC/907le69CsmFLAsWu4M6MSYMusJ/zvTOor2ux9lWO8/+bwt/jrqS6csOMOVP76bUrZUkphned20nX3w3867uEfDaiqIwpn8LHpubyRv6TwCot/9rGj+fzis3tua+y5sEPLc4Vu4/w47jqdzdvVHBgwvhXKbFZ59nJVKOtZwuhRzE5ZrtAJyr2Yn6BYy1OVT2qc4kUj3lHDFkcc+na1n8TO8Si8+MocSuLYQQlUF2vr891TS50/HDkERa6ujIVSpoy937Uvf7aYcqCaVQFCmJdMstt6AoStBMYnGXkX/00UeZO3cu8+fPJyYmxlVxVK1aNSIiIlAUhVGjRjFhwgSaNWtGs2bNmDBhApGRkQwePLhY967IFKUcZneFEFVSSSavG9SIZHQ/90pw9atHcOxCNte3S2BLbvWLv79D429qU6j7jOh1MXOMOh68sh8oCtUi9Og95vd3SKzO6rFX0WTs737PT8FZKWVQ7DRSUjisuqfN3To9cFWQZ0UPwA+bvPv/nDi0i2aZydhUDe/ZBnocUZhkvZPn9d8A8JTuf0y03e33HkfOZnHlG0u89v29+xRj523jyuZxfDG8m9/z8vyz9zQXe0wR9Cev75FnAkmDg1qk8rvR2bzcrOrpYp7Otvtu9HsNTzqNBlB4wzqIZ/Xf8aDudz6zX8+rv+ykdrSRurEmWiXE8MZfe7ixQz2fSrWiuPtTZ8WQ1e7991WPjcd0P7HY3pFIxcwFNdqVzCuqLI+m29+uT2bcgFbFfj1Vmi5STgCQWbt9gWM/GnIJD36xgRS1BvHKeZopR9l0pmSnSyhSrS2EEEGl5v7dznNzzH7IAeJaFvma2X3fIGLhs9jRMPKrjXx8T5diRhlmijtxpsrfiZAUaTpbQkICP/zwAw6Hw+/Xpk2bih3Y9OnTSU1NpXfv3q7G3QkJCXz77beuMWPGjGHUqFGMHDmSLl26cOzYMRYsWEBMTEyx7y+EEKLi+Pmxy/n03i4M7dHYtS8cb72b1olm+pBL6NzQXRl0ZzdnP71LGjn3BXuT/7P9MtfjLspejFhIoHgrb9UkjdS5zr6D6x0tScf7jfdHdncy5mHdb0Tj3Uh46Z5TnMu0MO4n36bPM1ceApwJor0nfXv2WO0OdqeksWLfGe79fB2XT1ocNNa0HN++Pq/oZrPe9Kh72zbU53sIxKBz/qw/sd9ApmqkjnKBl3VfACqPf/0vgz5ezZBP1/LF6sPc/tHqgH2ZgjmTYfY7reqNv7wrqeYZXuZJ3TzmG1/ma8P/8YdxLFFkE0U2l2l2ACptlCT6a0JfDSzD7H4h++mKQ2w6cj7I6PJGpUluEslRs2mBo/u2rsvW8f3Yntt37IrcKqaSJEkkIYQILi3b++92fXJbxzS6zM/oEOX2yDNi4a8dJ0nNshZwQmmTSqTCKlIS6ZJLLvl/9s4zPIqqDcP3bE/vnUDohN5770WKiIAiAvbPiiD2AipFUcEOiqggRQQEG0jvvfdOIJAA6X37fD82Wya7CQkdmfu6uNg5c87Mmdnd7Mwz7/u8JQpFV4tSKg2iKHr8N3z4cMl+xo4dS3JyMnq9nvXr1zuqt90rZFhPXL2TjIyMzH+cEF8tnWtGoFE6f9auNYCjffUwx2u10v1nskH5ILa83pF5TzZ3tP39Ymu+eKiBW98CdI5KbZ9qpnFcN5ytuhdopXAXcK6GgJWRqoXs0T1DY4Xtb//qQpPpQY1jJT1dvZF+1Xwg2c7wH3fy4ry9bDyZ6rYPL40zQLnrlA1upt/v/3mE7lM38tqiA4UtIvHCOYRiTClzi5hDR5LGMNVKx/IrpqeZb+nI/Q2ulvxkw19nq+hlQsV50eZ/OFy1QuKtZI9EA3jz97Kf58YfrqLVpDVk5hvJzHemnKkw85X6CxJ0D5Oge5g6igS3sYd1j7Nd+xzzNONZqXmVv7VvMk0zlQTdw6zUjCEYz1X4zqflsy8xk/wi5ys5y5ZumJVv4o3FB9hx1t0Y/U4hjCz8hQKsooAipFKpxvjr1BwL7gRAX+Vmbrav490T0yUjIyNze8jWSwWeQGvhb6pPmIfepURlS6vXYtt2YsadVSXTtTrbHenZdAdyTSLSmDFjaNmyeN+CKlWqsHbt2mLXy9w4Uiz7bvcUZGRkZO4YFC6G2YprVJG8NU4D6+J8gaIDvSTrakUH0KdetMe+8y0dKBClXizvq34CwAs9n6q/YbzqB+w30MFkE0YmiiLCTHvFfkaqFkva/rbYhKw3e8YzolWco/20GMNfhetqKc7xhmoOITjFlU2npAKSAitfqb9gVOZ4iSCUmC6NyJm97RxgM0B+VPkvCbohLNO+wWPKZR6PHWDhbmcq3rvq2Y7XfQwfsNDSjtZVQnm7V3yx413x93KWhV9kaeN4/bXmC95QzXHrv2DXBbe2opgtVodY5Hrx+NTs3dR/3yZ4RZHGW6o53Kd097Aqim9hOeSqhSbTdqoqLvKn9i1eVc3nDdUcfMnnk3+P8+bvh2g7eS39vt7M1jPSKDX7Z3HS8mPM25HIwOklG6PfDuzeTU0UxwA4IZbD16f03hlt+4zAKCqprEimnOAubN5Iin6nZGRkZGSkFH34438DRCTBHokk2EQk8w0uVHHduIhIciRS6bgmEalNmzZ079692PU+Pj60a9fumiclUxZKd5N0F1kqyMjIyNwQKoZemwlk+WDnOPU1uj8GejvFjgtiOH2MH5ImOlOtKyuSSdA9zFHdYzyg3MQQ1WrKCamMV/3AHt0z7NQ9ywTVDACaK46wQjOGHzXO6KLT1ijq6GeQjM0gPMBlf3ZeNz3heP206m926/6HFncz5wBy+Ub9Ofcpt9HOtJlP1dMc65IyC0hIzWPVkcuSMVGk8b7aWYX1HfUcVmjGEEOK2/Y/+W0N36s/4V/Nq/RU2lK7xpie4oBYGYCJ/esQ4lu6oheVQn2oHmE7jz9YejDR9JDkGJsJRyX9i1bhO5OSS5uP1zB3+3lH24PTt1L//ZUkpufjel3rjPoRma/5gBGqf6WTqdCayvrZtDVMob9hbKnmHyOk8azqD55W/c0h3RNsXLeceTucc5m19Zykv95ku5g9nZJbqu3fDi4VRku1VBwGYIu1Fn660ltuKr38HIbw1YREDlzIvKHzy8t3CqHypZCMjIxMyRhMriKKSICl8LfQO/Satymo7OlsNhHJYr3ThBoXEUl+2FAqyiwinT9//uqdXLh48eLVO8lcM/IFkYyMzJ3K7TIEPjyuG/ve7YKPtmy1I6Y90pDhLeN4uq0zFcfVRLs0LPpfSz7oW4tfHm8maT8plqORYTpV9bOKHfun5i2GqFY7lger1pGge5j5mg+p5hLV8rZpBJ2Mn7r5CBWNwM7Fm7aGKZK247rh9FJsc4hJ9YRT7Nc9RXflTkef/spNfKr+BgErGflG2n+yjidm7WKzS/TSJu2LbvOvprjIZt1LLNe8RkfFHmIFm/D0rno2XZR7qK5wRgVt8u7qeK1Vl/4cq5QK/nnJFoEkouBHS3dOW6Mc63/VfkAt4ayzfxER6e0lh0hML5Ckue09nwnA3weTMRe5sFVh5mv151RQXAHggLUis9pvhMFzYeAsLCg5L0awR6xGPf13PGZ8hXdNw2ik/5bq+p+orJ/Ne6ZhvGR8ll3Wam7HM1Zd/OcB4FyaLeTfNUKqwHh7q7ZdztZLKsfZK/k0V9gEvC3WWviW4bunUSo4IdrSMWsJCXy34for/LqSn5boeG2PsjOa5ZsEGRkZGU+4prHHkIpOLACFCoKuvXCEPRJJV3jtYbbcuZFIcjpb6SiziNSkSROefPJJduwo3igyKyuL77//ntq1a7N48eJi+8ncCGQZSUZG5s7kdkVA+mhVBHqXvZR399pRjO1TiyAfDUufa8Wyl9pI0uNKQ6MKQQxtEUftmAD+eqE1UQE6yXoTKp4wjpa0bbTYvPyChKtHm5yzhjPf0gFwF0g8cV6MYLjxVUnb15ovWKkZQxDZ/KT52OO4B5SbOKt7hHfnb3K0vb7Y5oPkjR5lYSXQ38xtedH4nGRsDUUiMzWfsFH7Mgm6hx3RR3YeNb7Gh/2d1bvsPkelRakQGNPNVpnPiJouxsmSY/xD8zbjVD9STrjC6/zIxl37HesySjDzVAhwMaMALUbeU/3MM8o/OKV7lF6F8zeLCvoaP0DpFQA1eoFPiGR8Fr6ssTZklqUbaQRQNSYUC0p+tnRjqbU1jyk+5H7DOJZbmjjGNFCcorJQ/MO2j5YfI89glgiEyw8nl+5E3QS2nE6l+cTVPD17t6Mtz2DGhwKqKJIA2GOtim8ZIpHUSgW7rVUB6KvcguE6BR5RFJm07Jgj2ixwsbNir6IwZXTYzNKbncvIyNyd7Luyj0t5l273NO46XCORqtkf/oRWd/gaXQuCxhbhrRNsIpLlTktnk421y0zZHtMCR48eZcKECXTv3h21Wk3jxo2Jjo5Gp9ORkZHBkSNHOHz4MI0bN2by5Mn06NHjZsxbphispuIq08lik4yMzK3lWj2J7gTqxQZe9zZqxwTww7Am9Pxio6R9lbUR8fqZtFMc4LIYxD6xMquEMVRW2MSBl4zPEipk8476F8eYueaOvGcejsnlZzvMT+swXobiRaV11vo01E9jj+4ZR1t5RQp7XZb3Wqsw1vQoJ8VyHNE95mjfr3uK89Ywehon0ixrPW2U5kIDZBvvmx8lB2/+0LeimXCUX7VSE29XfjD34GPzIDrWLu+IXgHQqZXFjimOZ9tXxmSxMnXVSawoWGetT3P9l0xWT6eN8hDDVCsdBt7Zf24gp9Z59l/IJt8o9XpYfsh5g7HhRCpf/7OL47qnPO7zbfNjiCjQqZzzfbNnDSb8Y/MC8tOpyCmsRqdWCvz1QhviXv8bsFX5WzWqHTXesfKMqSo6k4FjuhEArNaOoaPhE86ITk+tKsIFpqmn8pulHQ99YeVAmvOZn+k2PsGdvv4MogjrT6Sw5XQqKTkGtp1JJ16wpeElicGk449WVfr3VK1S8LulDe+ofqGKIomoxH/QmxqgUyuxWm3FloumJZbE4aRspq0/DcDDzcqjzjjpWOdV+BR865k00nINpU6jlJGRubs4nHaYocuGAnBwWNkLLNzLSCKR7D51QXHXtU27iOSLLb3YdKeJSLInUpkpcyRScHAwn3zyCUlJSXz77bdUq1aN1NRUTp60/UgPGTKE3bt3s3nzZllAugUEKIpUQBHusC+ljIzMPYvyLhaRbhQ1o/355MF6bu0F6FhubcpesSoiCh4zjeGQNY7FltYstbbiB0tPquhn8Zu5LYstrXnHPEIiIAF4FRFfXE2ni5KOPzX1M5lu7oVBlG5nqrk/9xvHsV+sQj46Gum/lawvr0jhkO4JPlFPZ4L6B5oVGigvtLSVpNRtF+Npqf+CvVZpeXe9qKav4X18+37MBw805sN+tQm6hkgxVwRBoFedKEnbJUIYanqD6eZeknZ/oYDNE3ryyA/bHelhdp75xRlRs+lUCvuLEZBeC/yE+ZaOgFT0eqptZcdrjVLhqDL3bHvpObAWXjALhQ909GgZYnzDsX5codE6iLyqms8q7atUUSTxhnoef+Q9wnPKJY6+RSu43Upcnx4//P12Xpq/j3k7zlO7sFLdYWvFMm9TrRDIwZvDYhwAPfTLmLrqJKIo0v/bLXSdsh6zpfQX9UaXvq5pdwDeggH7E+esgjutxLSMjMyNYt+Vfbd7CnctzmhQkQ/VP9peBsYW2780KHS2IAdvbA++THdYSrFrQRHxJlcJ/a9wTcbaADqdjv79+zNlyhR+//13li9fzi+//MLo0aOpXbv2jZyjTAmEKxtJlgXh9l1cysjIyLhS1lSw/yrdakUQ6W9La2taMZi3erpXIjsnRnKfcQKjTM8CAh/2q40ZFWPMzzDK9CwW3CM7Jj9YF41SweguNq+dnnUiHeveva8ma0ZLC1zko2OieQiNDNP41dwegHdMw5lqHoBrtGoaAVTX/8Tn5v7FHpNJVPKZaYBbexKh3G98n+b6L6mu/4muho9oY5jKfrEKg5qUZ2CTWEJ8tbSsHMLIzlX5bmgjD1svHVUj/Jj7RDPaVHU1+xSYaB7CXxapJ1V35U6+U38qMf7+abPdO0mkrWI/Cbohbsc41dyfOP1c6jR38XAqpmKf0WLlowfqsuS5VrzYyZaeZU+7+/B+23WRq6662VqHl43/A6CN8hCDlGuZov6GZ1V/uG17jHoBSzTvEEkaY/88UvxJuckUl4LQUbEXgIPXIiIpbefzPdMwAFooj3Bq4wLG/32UfYmZnE7J41x66ctBu0aKJaVlu68vjEYqS3TTjcJotsrilcxt47OVJ3hu7h6HqP1fRikUHw0piiJrj13hcra+2D73MhmF1UrruPgLEl66CqrFIWh9AdAIFjSYeGLWLlYWKdhxW5EjkcpMmdPZZO4s3IxrheIMN//7PxgyMjJ3FnIkkg0/nZrNr3dEITj/ZvepH80n/x7nt92eS9BXCPH22G4nwl9LowrBHBrXDU2hqFEl3I91r7THYLZSLcIXQRDoUD2MtcdtwsmgxrH8uiuRXLx5zfwUr5k9R90AGNAwxTyAbNGLd9RzADhqLc9Wa00OW+P409oCI8VHPl0ihCHNyjNnu+eII0EQGNnZ3Wi6rLSsEsr+C1lsPCktDf+86SWeN4EPBRzWPQ5AV+VuqgoX6GKcjBUFy/9eSILuQ7dt5oo6Whm+ICIsjBMpttD7euUCHeuLRnxFBehIztLTrGIIGpWC+i6pkM91qMLjrSsWm7L3u7UNPSw76KrczUfq7yXrrKLAA8ax/KYZh0qwUl9xmoXacbQ3fMb09adpWy2M+Cj/Up+rG4EnEamccIW2yoNYRIHF1jZl3qa68PN7QHRGVn+g/pHJW/KoLFTmtBjDT5sTeLd3TYfg5GDFO5BxFh6cBYUm+K5znDp7AV8AOaIXfoLtvfTCgB4tu89l8NWaU7zRM55gn+uLjCstPT7fwOmUPPa80+WW7VNGxs4Xq21ZI0ObV6B5pZCr9L67UQjFx0n8eSCZF+ftRaNScOJDOWvGlYuZBXy91pYOXENh85WzoEBZ/5Hr2q6g8XW8PqR9jMdNY3hyFiRM6lXCqFuJbKxdVq45EknmDqVYEQlQ5qGLnseWi1tu3XxkZGTuWeRAJCdKhSAR/SP8dUx+sB4bxnSgf4MYxvauSZyLcOR6s7xqVFvOTuzpWB7YuBwbX7WlVmmKRMXEhfpQPdLPsS9X76GXOlf1OLcIfy1Ln2slaXupMJLmZ0s35pg78ZO5K/cZx/O++VEWWduWKCDZea93Lcdre2TOzeDhpuW5r24UDzUt77YuDy8ecUkbq6i4zCndo5zRPcJ8jbuAtM5SjyaGb8jClz9ebMfgJrF80LcWNaP9iQrQoVUpqFsuQDLmt2da8HLnanw8oK7b9kCa/lb0KxHqq+Vt02OSto9Mg4nTz6WSYQ57xarUMcxgoaUtAOWEVLZqn2fisqP0+HwjJouVMym5tyy6pWj1OoD2Cptx+S6xOhfEsDJvU620nRURBU8bRwIQJaTzmWYaq7Vj+Er9OeadM5m19Zx0oCjCli/g6J9wwWmUbXKZY1ymrX2jtQ560faZ9cYAwKgF+/lt9wUe/3knt4rTKXkAkkqHMjK3mqJpnv9FSopEWnfMVm1TrtLoztztzr+z5Qr9kDJrDAbldcadKFUUiDbhXCNYmKaecpUB109WvontZ9JKJwoJsrF2WZFFpP8YgmDFVU11WYM2bDnqgP08verpWz0tGRmZexA5ne3qlA/x5rNB9RneqqLkfLmKSD5alUSAUikVbuJRcTSuEAzYRKzi0rCiA72oFxvIFw81cLQ1qhAEgBkVb5kfZ6x5uMeUuuKIDfaSzLF7rcgSel8fAd5qvnq4IQMalfO4fpO1Nq+bnihxG2NNj1JN/zPDTa9RQGEpYrWSSQ/UZWiLOJQKgX9fbsuutzu7RRWVC/Lmpc5VSxVZUjR6OM9g5gpB9DF8wAxzDx41vsa3lt6O9UqFQAE6XjE9wyFrHABhQjaPK5cBsPtcBi999iPvffblVfd9Iyjq6e1LPi+pFgEQXM8mdNpT+EqLWuH8nPxrbcp6i1SMu0+5nYnqH2i/8SEQRTLybKkWGZkZzk4mZ7qba+noNkpbRcEN1rrosZlo26sD2dl7PrNM870RWMvwpFtvspCjL71I+OvO87SfvJbTKcVXezx5OYezqXml3qbMf4t7IdCipEgky71wAq4RjdL5+xYr2MQ2/8jKxXUvE7k4q9WqPN6r3lju/2Yzg77bVrq0Odd0tlswt/8Csoj0X0QwofI7hKDKkjQr1Jm3Zz4yMjL3JLfDc+RuxjX9zx6dAaBSSH+qy2Iy/FyHKrzdK57Vo9o50oaKMnVQfds+Xd4vfy81VcJ9Pfb3hLdGKqzYr9E/G1iPV7pWo2b0zU+7alg+kBc7VvGwRmC+pSNx+rk8bhztaD1uLcdjxleI08/lJ0v3q0ZX+evU+OmuHoFVEkW/EfbvyAGxMn9Hv8AGaz1Jr3lPNne8fsA4lqNWW7TVO+pfSNA9TPNZlfhT+zZTTeOwzOxV5rvDKzl69idmlrq/pUgkUnflTsIEm+9Q1faPcHpCT57r4Ok9KB6FQmDZS22Y1L8OAE+ZRvG9uSdfmvtJ+lU2HGXt2n9p8MFKvl57ilPnnamg5684BSV7tJQf+TQQTgGw0VIHH1+bsatXYSTSrcb1aXhZKuy1+XgtdcauIK8YQ/VTV3I5eMF5vffaooMkpOUzsbBqIEBGntFRmTBHb6LLlA10+GTdPeGNI2PD9fNXFhHzbkWpKP6hx51XXv7Owf7wJ5Qs+is3AaCIqHFDtp0uOq8Dsik5Zf96EUWRM4VC+aZSRX7K6WxlRRaR/oP41XgPr3K/4F3x8yJr5Bs6GRmZW4fsiVQ2XEU3weXvtaaID4y5DBfAXholT7SpRFyojyTiw5UKIT5u+1cpBP55sY1bmltRPh5Ql0YVgtyiT0IKo3L6NyzH8x1vXiqbK4IgMKpryVEwq62NiNPPJU4/l27Gj1ljbXhL5manT/1oyfLIzlVpXCGIt3rGu1WbqxXtT9OKwSx5rhXTHmmIAQ1vmh4vdtvK85tgXCBkJkrarVaR3GIEiKbjV9P3680cSbIJQaeu5PDT5rPFCpXmIuLHa6r5AOjrDoWQytcsHMdH2Y4VbH5c482P8Kl5IJX0v/Ct2RmZtWrNSgAm/3ucmav2Otq/+Gu72xxbKg6jEqyctkZxkTDQ2G5avDFQTzhFnJBMDeE8VQXPvmQ3GteqcQcuZKI3WThTQrQQ2N67lByb6HXskrtJOEDnz9bT+6tNXCnGJDjXYKbBBytpMXENAFdynCKayUN6osx/E9efjXtBRHGNRCoqCtwLItq1Yn+A1UJx2NGmjHKvMHstpIrOVPBssXQi0oYTKWw9nVbmfWUXOH/zqkb4cTlbzy/bzhUrxguysXaZkY21/8MoVM7wbtu9nHxDJyMjc+uQNaSyoXA5Ya7nTqWUnsiiN/KlRa0s+Q1xTaFTKgQ0KgX1YgPZ804XXpq/12FePbJzVVYfvcKQZuUZ2DiWgY1j+edgsmNsw/KBTH7wxlx0/td4u1dNGpYPwiqKHE3OYXjLOJ5oYzOU/tFRLQ6ebluJEa1slc7qxwZiiQmgffUw1h0X2W6tQTPFMY/bB+DAfGg7BoPZwvYz6Xy77jRbz6Sx6bUOpOUaqRHlh1YlfUq/+1w6NaP96fzZBsAmeDzV1j2FId/o9FJppThImGCLgNHFd7u2E+KCJ/NxKwo+N/fnfuUmIoUMxqtmsMdSmaNiBdJTUyjMUCMApxhjj0TqrrT5IW2w1qVxhSCEwpuWmZrJ+ApSwWXG7+V54v6ba7Dr6r8ya+s59BcPcTAxnQ+feYhGFYJIzirg+KUc2lULI8dgxl+ndim1DUaz+/feYHa+H0cv5RDg7YyU89fZLvHPFvowZRWYyNab3CKitPKdwD2Bq3B0D2hIEk8ks2hGLTi/G7J2Wjx2sTum0A8pVfQnNDD2hmzb6nIfmosXACaL1b1gQiFZ+SYenWn7O35qfA9UxfQDSMkx4KdTOX5HXEV7lULggW+3cCGjgMNJ2UwsjHotOjvHq0IR6e8DyVQO96FG5K0tYHG3cFN+OsxmMydOnODIkSOOf/Pnz78Zu5IpJfK9nIyMzK1GTmcrG8Wdr6IiUu2Ya7ugUSkVrB7djk6frr/qflQucwn20TD78WbEvf43YPNQ+vOF1pKxHaqHExvsRZ2YAL4Z0uia5nej+HFEE5YfvMSJKzl0qRlB5TBfRs7fx8cD6vLCvL1X38BNxEuj5IFivJu6145k3J9HqB3jzxs9peWUlQqBn0Y0Je71vxlkfBeAWOEy3hg4L4bjTz7bdc8DkLX+G9Yk+uBtTOPp4w2wXwG0/mgtAE+2qchbvWpKtn86JU8iLmw4keomIp1Py3fx5hF5Smn7PFh8o1FW78n1UlREOjSuG7Xf+xc9Wl42Pcs8zXgAftZ8RFPD11RQXHL0DRJyMVusPP7zLo5dyqaBcJL7lZsBqNO2H8M6t8AyNwauHHQTkABSdi2FWygihZHBx1eew6BRM2lrbebvCHBUany0RQVmbT3H8x2q8Fjrio4xby85yIKnWxDiq+WvA0lUCPYhOtDpMTJsptNcHEBbeD6f+WW3o+1iRoHk74zRbOV8bj6xwV7u1X5l/lO4ikj3QrqOaySS2WpGrXCKSDfSE+n4pRxScgy0rhp6w7Z5O8jKN/HQ99s4kmyLeLSLSPMsHXnhBu3jpFiONhwCnGnFfb7azLKXPFf1zMh3+teZrSKqYjIUL2YW0GrSGiL9dWx7s1Nhf+ffW4tV5EKGrTrn2kJTdTdcjLVFRLaeTuO5uXuAO6mC3J3FDRORFi1axNy5czl69Cjnz5+nXr161KpVi9q1a/P007KR880kP3E4mpB1qLwTSu4oyhcIMjIytw5ZRCobknQ2l1NnT0NbPrING06kMLxlxaJDS03lMF8CvNQeq3m57r+k965oeh3YxJF1r3S4IyrydageTofq4ZK2Q+O6oVQITPjnKMlZ7iJCm6qhjkirIG81baqWvcrY9RIV4MX+97rioyney2Ni/zq8sfggAIlihKO9AB319N+xUTuSAEs695+0VaRLKNQYVloaMt18H7vEGny/8SzVIvwkqXU/bUmQmI8W/XyMWrCPxXsuOpYbC8dpV2handF3FqEl+I+UFp1a+rny1apY+lwrft2VyNzt8Iu5E4+oVhMuZJKgGyLpG0Qun6w4wfoTKQAMUTnFwsA63VEoBCwhVeCU532/oZ6HxfI1SuX1H0dxOJ7wk8Jm3UsAaAUT7x3rzfumoUB3QHBUoftq7SkebOwUHE+n5NF0wmqebV+ZL9fYDqRPPWl6pCuCAPlGMxczCxxtFzIKJOf5vT8O8+f+JCYPqMuDjW9MtIHMnYnkpvoeEJEkkUhWaQrTjfQC6zbVFr25alS7MvkI3ml8t/G0Q0ACCC70unNNQbteJpsHUltxlqaK44QLmQAcTfacpluUklIQ1x23CUOXXFJ6XSO2XccWf20jjUQq7bzuZcrsifTaa6+h17tfgI0ePZrHH3+cn376iVatWlG1alUmTJjAiy++SIcOHW7IZGU8Y8mtQcG5ZzyuUwc6fQJEOR5JRkbmFqKQn2yXia61bKJAuJ/W4VMEzip3NSL9eapt5VJXZiuO4p5Cu4aUFxdeDlA90s9ju1Ih3LHRDPYLx5Wj2rF6dDvJuvbVw2hW6McDsOOtznw+uP6tnJ6DAC91iSH7DzUtT9tqUoGrYqjts5KFLx+bB3kc10W5h5mayWixPdkds/CAxIwZkIgNRUuAuwpIVYQLLNS+D8AySxPUMfWvclSlwzXFbkSrOADqxQYy4f46PNG6IuPMw4odGyjkMG39aQCUWByG2h+YHqFCeCAA6kCp4PJGEX8p/aG/rvcQPPLzlgTm7zhPYnoBWoz8rn3Prc+76tks07yBEul5v++LTZJli1V0CEgAf+xPKna/FzIKqPnuv5K2J2ftYugPzoilPwvHj1l4gKE/bCc19/aYjl8rCal5/HUg6Z6IrLle7rV0tqKRSK7cDBHt1JWS/c3uVOzfHXukjp2gwhThDPHGCWMF6HjU+DoAgUKeJA3Z49xcXpfk4+Vplat3pOvYopHdUBglKjj/9lpFK/fAV+S6KfOV6JQpU8jKsl14DBs2jLw8W671/Pnz6dmzJ02bNuXff/+ld+/edOnShenTp9/YGcuUCV3U7y5V2pxfnN2Xd9P/j/7svrzb80AZGRmZ6yTUV3u7p3BX8WSbSnz5UAP+eqE1vloVO97qxL53u9zw/eQUYyypkFSHc788WPZSG34c3oT4qLvXH8BXq6JymC+vdncacL/fpzaPNK9AlXBfXupUFbVScceKYQBfFBG4XKOufrF05h9LU4/j/IUCvlF/znDlcp5R/sHxGU9QTvAc2n/ySi6puQZEUXRU9QIYolzFKu2rjuXAliMkPjzXg1IhsOh/LZn3ZHPe611Lsq53vWhMqGhtmEqK6P75C8R2LVpHOMNp3VDaKG0pE83a9XB+lr2cQuHjxtHMs3RikOEdR5tp73x+2XbOJWXv+vn7QDLv/XGY1xcfZOD0rbysWuR4Ag+wy1qN/VabJ1a84jzT1FNQuDwRL+67Who2FEZllZaNJ1P5bOWJa97f7aD9J+t4fu5e/j1sS23Umyy8veRg8Skr9zASEeleUJFccBORynj8uQYzT/y8kyV7Lxbb524UMlccvkT991ey9vgVNwHZns6WyY2NrtKj5bIYCEBsMb8/nijJx8rT59m1OITr+100EmnL6VSqvb0MwUVEKvpepuTcXeL6raLMIlJMTAx799rChH/55ReHiNS8eXNJvwceeIAtW7Zw/vx52rTxnOsoc2OxGkM8tgvKPAQBBJcLk+HLh3My4yTDlw+/RbOTkZG5V/h8cH1GtIqja82Iq3eWcaBWKuhdL5pwf1sOUrifjkBvzQ3fzxeDG3hszypw+g+E+rrvNz7Knw41wt3a70aebV+FnW91JmFSL8qHeBPorWHVqHa83KXa7Z7aVQn01hAd4PTCiXJ5DQLPmkZSXz+dsaZH2WCpw2TTQKYVVjjrpNzLWPUsXlfPZ4hqNZu0I3lRudjjfib+c4wnft7liGaJJI3x6pmO9R+FTaBFjyEex14rjSoE0aKy+7VMvdhAAC6I4XQyfMoAw7s00E9jrOlRwOaJFEQ2f2rfdozJEb3o2tnFqyna5g911Fqe1YVV+baL8Qy1PxlP+IclSxfy/p9HbtjxvDBvj+O1gJVnVH86j0n/HQOMY+lr/JDXTE8CtoixM7pHWKp5m8ZCCebp10kAubypmsME1QweUa50XB9m5BmvMvLOZFdCBmCL+vpl23lG/LTzNs/ozsP1RtpUTPXF/xKuQoBbOlsZBZ9p606z6ugVRv66r9g+d6Mu99Ts3WQVmBjx4042n3JWQBum/JcKCpvAk3kDI5HsZIi2aOYAwaYhFCfASd/D4j+znkRBU3HpbEUeEL260JaWjeD8jFiR7qvJ+FXF7vtepsyeSK+88gp9+vShcePGAMyZM4dWrVpRp04dvLy8JH29vLwYP348p04Vk4Quc0OxFJRDoXEvg6jQJWMWDaj8bt4FiYyMjIydvvVj6Fs/5nZPQ6YYeteL5qs1pzh+OUfiYVQ13JmmVlJK1X+FML+7N1IuyEdDUqG3k1bt/l5l4sdPlu78ZOkOgBozJ6wxvKRa7Lg5sDNKvZA0/KkqXOBB5XqsKJht6cLkPQPxwkhnxWHGqn+mXOGTaYAF5nYc9/Ec8XSzCQkNxyc4jowTKeyxVgVs6WxjVAscfbJFb7IGLsJP4XJuwmvAC7vpN/kArpHZG611uSIGEi5kslD7Pt32ePNkgYm2VUMZ2iLumudpMFscN5a1hAT+1r7pWNdC/yVZLk/4f7V0oJniKP2VtvS1eoozfKX5khaGLxE9PO/1JZ88dC7rRLoodpMohjNK9RtdldIo86nm/kw1D3Asj1X/7DAeBwgihy8t/e/a7739vrBoSo6ME7NERLoLFY8y4ioEXG8kUnq+Z3FVmiL43zmn3RROEXZ4z7Y3fPvZ2Cpl+mOrIn4pW09UgJdbP9dzWlIKoqdzLzXWdrYXjURyaEpF09n+Q+/nzaLMvxbPPfcce/fu5b777kMURb7++mtatmyJv78/8fHxDB48mEmTJrFs2TLHmCpVqtzQScsUg+A57Nkr+jf+zh5R7LAzmWdu1oxkZGRkZO5AZgxrTN/60fzxvLPKWmywN8tHtmFHYXUTmTuXKYPq461R8mLHKqVKTTGhYrG1Le2MU3jI+BaTTIMZaXzWsX68eibDVSvwEQz4CQU8q/qDs7pHOKJ7jBmaTyUC0jfmPrxqftpjtNrNZObwxvSqG8WS51oxqInNBDqjUIiJFtJ5WLUGgCPWCjwQMJ/YWi3dNxJSGQPu855oesjx+kfNx6w8col3lh7mSo6erAITSYV+UYt2X+CRGds5eTnnqvN9uTBqwYcCFmrGOtp/M7clGfdoqzlm6fcuUshgrOpnh4+VF3r8yaOnYhsHtE/yo3oyAH0Um0nQDeF7zWcs177uJiABjFQtxr8w5a+54ohEQAIYrV7IKs0rBIjFm8l+vfYUn604ftXjvh3Y00//SzfyN5p7LRLJXqYdwCRKU1RLSo3yRHEfK9fz+F/67PkJNnGHju/Qv039G779bLFQRCrcT4uJa5i97Zxbv+J8jYriWUTyLPB58kQCEFzuoT0JSHO3ny92//cq11SdrVatWtSqVYuZM2eybds2fHx8OHDgAPv27WPfvn0sXbqU8ePHk5Nz9R9ZmRuHoLi23Pm+S/tycNjBGzwbGRkZGZk7ldhgbz73kNZWI/Lu9Tu6l6gW4ceB97qiUir4fkNZHgQJbLXWYis2z6Hdhqps1L5c6tH5PrGU6zCWZruvMKZbjTLO+vroWCOCjjVsKbLdakXyVNtKHDmjhlRpvyPK6nw6sF6Ztv27tQ1Nzcd4SLWWaCGdWOEKiWIETcevdvTZ8VYnRv+2H4Bv1p1myqD6JW7zn4M2n55+ys14CTYhaJGlNW+bH/PYf7dYnf6GsdRUnONt1S/oBBPDVCsZplrpsX975X4SlA+XOIdM0YfAwpSRA7on3dZ/aBpCb+VW6inOUEWRxNOn/sfgb77lrT71qVPOWZXJaLYy+V+bgDSwSSzlgrxL3O+txn5beDemFN0q7jUR6UamsxWH63n8D2lIRAuFWS3Vut+U7WdjKwbhVxiJBPDOkkM0iQuSXIO4VlgrjbF2RSEZ5j0EbUZjtlRyrHf1h1MqiomfcU1nE92/Hx/+fYSHm5Uvdg73ItcVt3rq1ClCQ0Px8vKiWbNmPP3003z77bds3bqV7Gy5NN6tRrQ6NcHck2+W0FNGRkZGRkbmbsaeemQq62N1FxLFCIev0HlrGNPM9/GnxelxeaXQAPW4tRw19D/iPeYQfRpX5tenW9zWdEClQuDNnvF8+3h7t3UPjJxK3XKBZd7mG+Yn2WO1Rc43EY4X+gQ5b1wOJDqr2V3Kcq9SXBQBK08p/3T4SE02DWS06VlJJNR7vWtKxuwRq/GLpQsNDddelOYvS3PaGz6lkv4X6hu+d6tCZ+dd0zBmWHoxrvD9B4i1XiTu4h/0/moTs7YmOKr0GczOVI+MvBtnPH4tpOQYGDR9K7/vveBsdAQX/Ifu5EtBrsEsMRAuDoPZIonM+C8JHsXhKgQUjSwpe3U2z/2L8925VYiiyJbTqWWqqnglW8/ucxnFrvdCT4hQGAQSGHu9U/SIPRLpbfUcVmtGE4VNtOr3tTRCUmoGX/z27Od+guoHOP4PzOgk+V5sP5vueF00EEmw//FwSWczW618vvpk6Q/oHuWaIpFKw51c2eS/iuFKTxTaFIxpbRDNZXuavPzscjqW74hGeWvD02VkZGRkZGSuHZPZeaFdKdSH+U83JyvfhCAI6NQKWn+0tsTxrt5Jdl40Pe/w21FjxozCozfP7UapVJAlehNQmBYxwfQQbwaU3o+tfmwgnWqE82lhVbI91qo0VJziM800PmMa+62V6Gd8HxEF/xxMdozbeiYNi1V089f4Zds5RGBo+XTO6h5xtB+yxjHD0lPSV6NUMKJVRcZ5MPLOR0e8fia9lNtpIJyirm8GdfR73PrZedI4inXW+tSICeHgxSzJuk3+vaDgB8eyHg2d9JO5SJjtmMVqvGz8H1M03wIwST2DfyzNeHfpYd5dephF/2tJhRBn5NGSfRclUUp2IeNmFAHwxLfrTrP9bLrkxtB+I3gdeupdR7beRIsJqykf4sOyl4ovYHTycg69v9pEy8qhjrb/UupVcbh6IhWNLClrdTrX07Vk70Xm7zzP1w83lIgc5tvgM7XyyGWemr0bf52KA2O7lWpMx0/Xk2sws+h/HtJ9cUYhmdW+qHQBHvtcL3ZPJIDKimSGqlbysXkwepMVi1Vk97kM6sQESIRPs9XK+bR8ogJ1btVj7e9ntEvatamY91hVTCSSazrbtjOp5OilhuJl9dG6F7jzrghkrhnRFEL+mVGYs5qUeeyYDWP4aMdHN2FWMjIyMjIyMjeLXnWjAKgZ5c+aV9oT7qejaoQfVcJ9KRfkTbtqYSWO//Ih97RGV8HIhOqOFJDAFpH0iXkgJlHJYktrZlh6lWn8kuda8UCjco7l7dZ4yfp6ijO8q5oNwOIi5b03nkxh1tYEhv6wncYfruS3XYm8veQQ3yxZD9+1l/R91fSUmxfTJ8Wk3A0pTJkoQMdCSzveMj9OndfXYmr/NtbgKpyLuY9PTQOI18+ki+FjZtacyUprY0yoeLx1RTrHSysobni1Izyziaye3/JRs22kPHvCISDZ+d3ahp/MXR3LB3RPskzzGmFk8sC3W8jRO2+wfth0lufn7iEjz4goivT5chPNJqwmITVPss0bYUybrTex6WRqqVOx7gVxxM7+xEzyjBaOJmc7IsVEUeTk5RzHOTJbrHyy4jh6k5U1x5yG+leLxDl5OYfp6087ItHuJs6m5vHj5rOYXKLnilbbKmskkmv3kb/uY9uZdCYtOyYRKgy3IUVw7XHbe5qtL72dSa7B1nfF4Use11cXEgFQBFW4ztkVT7boI1l+VvWHw/vtuw1nGDh9K/+bs1vyfV5z7AptJ69lxI/ulRftb8Pvfj68FB6KXhCwFKMoFxX+HbhEIl3OcTfov5f+tpSWO/OqQOa2sODEgqt3kpGRkZGRkbljqBLuy/Y3O7HkuVYe13eoXrKIFB/lz9mJPTk8rhtxIcV73YzpVv265nkzUCkUzLZ0paphNqNMz2K9hsva6EAvFv2vJZ8+WA9F9R68ZxrGDqvzWEeo/mWS6rvC9DborNjNTu3/+PHnGby79DAbT6aSmmtkzML9vKz6ja26FxxjvzH3ob5+OkfEOLf99qkX7XE+nWtGSJarR9iqJqrbj0Hx4m4qPDmHLy39KUDHSbEc2gqNHX3jo/zdKmMKggCRdQho+jCv9YgnNjzI437HmoeR7lLOO16RyPvqHwHo8Mk6Sd+/DiTz4vy9FJgsnEnNw2C20v6TdQ5/rtMpuVR84x/e+v0gWfkmvlx9klNXyu6TOuT77Tzyw3YW7Ep0tAX7uEc8nU3NZfSC/ZwtImTZWX8ipVRm6HcTAV5qx+vEdNtN7+I9F+kyZQPPz93D56tOUm/cCo5fysGfPIYoV9FAOMlJ7VCeXdcIxgbArH6Q6W4Y3GXKBiYuO1ZGv7U7g75fbWLcn0dYccQpkrils90AvSchLQ+T2bkho/nWi0jFRdWUhrQ8Z8U5NWb8yQWgjcLmkauo3OH6JlcCrpFIdr5XfwrAnO02g+11x1Mk0V0zN50FYNOpVLexdpH5h3ALa3y8+dXPV/LelIQjccrFV/hI3t/F7kPGyU1LZ5O5/YhWNYKi7LnrerOe7w58R+cKnakZUvPqA2RkZGRkZGRuGxH+umLXPdK8AhYR/tifxKvdqjNkxnbJ+qgAHYIg4KNVseh/LWn04SqP23m8dcUbOucbQdGHyh8PqHtN22lUIYhGFYJYceQSP1u68bOlG+WEFDZpXwJgsGodXZW7CBZyHWN+1nzEKksD6itOIyA6fUQKecn4LEutrSkrrVzSjkJ9Nfz+nOe0EzsDG8fSrGIwyVl6qkf6cdJFrPluaKOr7u+ZdpUJ8FLz0fJjdDR8yjfqz2mptKXY9VDupJn5KPvFStQUzlFdkchvlnaYUbHxZCpjfjsg2db4f44yrGUcnT5dD8Cc7edZdugS6XlGPl15gmMfdEenVpb6XNhT85YdusRDTW0RWj5a9/H/Hr5c7DaOJmczbOYOABImlS1S7U7G1Y/nf7/spnvtSJYfsgkn/x6+7Dgn+Wm5LNFMpJ7CgyB0Zi3M6AKveK66d6BIauTdgD0qZ/+FDLDpr9efzubBEykz3yQpI+/qG3Y1rFYRRXERMWWguEpjYBNyRy/Yz/MdqrgJ0wALdzs9xWapJ1FLkUA/4/tUVxQKtjFX/9txrRSNRAJoqzwIJvDVOqUJV+HGWIYIxCylgjCzUyTTKBWO8fnFRNcJLpFIKaZjHvZR7O7vWe7YSKQNGzbQu3dvoqOjEQSBJUuWSNaLosjYsWOJjo7Gy8uL9u3bc/jw4dsz2TuU/ITnrmncJ7s+4fuD3zN8+fAbOyEZGRkZGRmZW4pKqeDx1hVZ+lwrWlUJlax7q2c8Pi4X7RqV87Lw1e7VGdzEaayqUd55l4xF/Tf9depiepYOhcv2Xh7QmV6G8Y5lVwHJTmflXkKFbDcBqbPhY48CUj0XL6Hi0KgU/Pl8a/o3jOGvF9rgrXF/3rvwmRb0qhvF1jc6olYqqBLuR5uqtogzwekyTddakR73EehtO08BXmpe71GD/7WvDEAmfjxseps4/VwWWWzz/1X7Acd0I1isHctE9Q88pXQ+pf/bxSfKTmaBUbKcnmdEgZUYUlh2yL1/aYgOcIqkJy+7vw8lcfySewTSpSw9P24+60jtudu4mFnAA99ucSyfvJLLl2tOeTR8763Y5llAspN7iadn72LeDveIJK3qzvvOl5Ysl8/hL9vOkpXvfKh+PelsdnINZowufnSWUnoi7UvMpN77K/jFpaT9tjNpPDhtC0eTy1aUqqg3kCtvLj7IvsRMnpi1CyheONNgooXyCP5CPr9U+IcGmsK03fB4j/1vBJ4ikQCUWPDTOf/ema1WtBiJE5JLjPQqKiIt9/FGNDlT0lzFvqrhUq8jx19L4e5L3bzd3LF/HfLy8qhXrx5fffWVx/Uff/wxn332GV999RU7d+4kMjKSLl26kJPz3wpXvR6shkjyzryIObcqA8u9B0CzqGaO9Q9UfcBtzFub3uLX478CUGB2zwmVkZGRuRq5xlzyTflX7ygjI3PL+azQi+fDfrV5sm0lyTpfrYquNSNoWy2M/7WrTDcXEeJGPDm/2djFkWvFVUR6oFE5DosVecv0mKTPYktrJpoe8jg+0RpGE/03nBLLeVz/eBvb+e5UI9zjejt1ygXw2cD6RAZ4jjBrHBfM1w83JCrAy8MxlLhpAOY80YzWVUKZ9VhTj+t3vNWJSaaHyBLdb/ZeVf9KbeGMo6KSKwHk0nr8crf2Z5R/sln3EocXTvAYsWG1ipy4nCO50XV9/XuhH9WVbD2/uURQlIR9vKfP7QPfbmHcn0f4bMWJUm3rahjNVqauOsHqo8VHRF0LxaXQfODBjB0gx4Mo1l+50a3tpwYL2D/Y6S2z5fBZ3lh80K2fVlX6qLE7DaPF+TlbtOcCk5Y7o0vKGonkCYUgSMSJ0m7yld/2k6M38/aSQxy6mMXD329j8Hfb2JmQwfAfd0j67kvM5Nil4oUlVQlf9ox8p4i29vgVar63XBJ9BBBENid0wxzL0ZfWIJgLILQ6hNUo3QFdA2etURhF22drnGmooz2APA4nOY/XYhX5Rv0567SjqWcpPlCkaJBSolqN1eBMbXV9b4o9ZUJxgrIVQZUNCsMN8Xn7L3HHprP16NGDHj16eFwniiJTp07lrbfeon///gD8/PPPREREMHfuXJ5++ulbOdU7GqshmoLEx6napA7bH96OTqXjSNoRDBYDjSIakW/KZ1nCMkf/P07/cRtnKyMjc7djtBhpMa8FAPsf3Y9CuGOfVcjI3JP0b1iObrUiJRFIdgRB4LtHnR47TSoG461RUjnM163vnUaNSD+aVQy+rm14EhyWWFrximoBQUIu7QyfkaqOIc9iIUkM4Y3InYxJ781FgxciAufECFyebUt4uXM1+tSLpna0P7HBTnGmYflA9pzPvK55u1Ka6si1ogP45YlmkrZQXy2puQaaxgUT7qejV8sGPLj1PVZoX3Mb/5f2bQyiilmWrnxp7keUkM6/2tcBuCwG0tnwCV4Y0KOmr3ILr6ptDyfHqBawYNn9NGrUjFcX7Wdkp2p0rhnBpyuP8/Xa0wB0qRlBg/KBLN7jNDI3mK3sOZ9B/2+2uM2lOExWKz9vSuC7DWcdbaIoIggCFzNtD0m3n3UXwq6Fr9ac5Is1p9CpFYzqUo39F7L4fFB9VNcQvbdw9wWOJGWjVSv4Zes5fn+uFVWKRE+cTildNFY1IZH2yv2ATfzsr9wEQJquPF9uz2ay6EuQkEukkE6OB8Fw0Z4LHLyYyR/Pty5TGuKdgesNv1US5eMpEsn+2bjaluwoFYLE5N2+TaPZikKg2PfeVYgYNnOHxJvocraBnQnpNIkLJjPf6Ch5X1waqOs+7PNfdjCZz1ae4OQV52fEbkb9ym/7JeN7K7d6nCMNHnExC7rxJBNCN+PHmFBxQQxjpGoRAUI+QUIOp43O6uJmi5Vuyr0APCEsYSPuf4vAJi4XfZdS9QmAuwhfXFacUEwkkqDKwbfqRERRiSD0v+qx3UvcsSJSSZw9e5ZLly7RtauzkoRWq6Vdu3Zs2bKlWBHJYDBgMBgcy9nZZQsbvNvxVtt+IGqH1na0fdj6Q4mIJCMjI3M9XM5zPok1WU1oldrbOBsZGRlPeBKQPOGrVbHnnS4lPvG+3bzStRpnUvL4dGC9UgkoJeHpMPPwooHhO8dyRX8dZ1Pz+NPakg6t/8eH5YMkxtOB3moyXVJnHm9dkWEt4ogNtkUNVSoiyP04oin1xq0ASo4sKC3VIq5N8PthWGNmbT3Haz1spuJv9YrnWMNyLE3pycrfviMTX37RTHT01wpmnlT9w5OqfyTbiRAyOah7wuM+tIKJRjtH8/DmN8nEj1dnrWFqGyszNnpDYfW6lUcus/KIe0SPq4CkwkxPxQ7iFefoqdjOSTGGSeaHOCNG44OeHLw5eTmXCf9IvU2MFqskuiayBC8xq9XmhFNsNadCft6SwBdrTgGgN1kd+6wa7suLHauWKYIvLdfgdqP/0fJjfF8o7OboTfhqVXiX6vsr8o/mDcfSONOj7LZW45A1DtWZDHafyyBN40+QkMuPmo/pYPgMsN24u3Lici5HkrNpWN6zIfudhl0MlYgKgkiIiyF70QivbL2J7lM20LJKKBH+WjrWiKBRBefxegpAsYlI0sg5g9lCq0lrCffT8s9LbRzrDidlMWf7eUZ1qSb5PLkKSHaemb2b3e90ITXXua7++yv46IG6bDmVxgf9ajvSjtUu2zKYrYgi/G/OnhLOjpRawjnPK6p0LvU2rpWzYpTjdbroR4CQT7iQyWnRWRhAWeA00W6n2I8KM2YP0sXivRfxxiBpSyu4CFR261s09c3xm1FMJJKgsKWIihb5WrYod6WIdOmSzTguIkJqFBYREcG5c8V8IYCJEycybty4mzq3uw21ouTQ77SCNHZf3k3lwMpUDqzM6nOr2XV5F6Mbj0aluCs/PjIyMjcR178LJossIsnI3O3c6REIz3esesO2VZKoYMf1fMQGe1Mx1IcwPy0pObabmM8HN+D3PRd4q1dNwvyu/vcvwEvNs+0r882604ztU+vaJ19IpTBf5j3ZvFT7dqVebCCfxgY6ltVKBXXKBRAb7MVIsQWiCEsqvsd9l6eRb7Lgb3KvklQaairOsU/n8rB3JxzXwQDDu+wTqzBF/Q29lds4aI3jYePbCFgZqlxFohjOn9bm9FZs4wuN1OqiAlforNxLrqhDiZWOhk8d74crBrNVkrLoq/N8Hbv+RArDZu6gZpQ/f73Q2qMQZLWKPDV7N6uKSWGbuuokVcJ9ua+uswqfPe0tOUtPrzpRbobH9ggpV+z3vCcu59B1ygYGN4mVVGYrjiWad1AJNkEoU/QhC1/mWArFgXMZkr7lhFQmqmeA2AeDB+8ZcxG/nxtlDF0a/j6QTFSgrtQilr+XyiYiCa5zFglwSXUtms62ZO9FkrL0jnSvr9ee5uT4Hg7PIU/G2kqFgN7FpNlgtvDawgOk5hpIzTVgtlhJztJzKVvP07N3k55nJKGY6oGumCxWsgpMEkFZb7Ly0vx9gK16Y5fCz43SxVh7x9l0Hp0pTYe7GtUULult9R6CU6uhcgeIuLVFlQ6LFanIZZorjrDfWpn8wggiTa40/S5GSOWc6NnnLYA8XOPzjCbP57rYKmtuIpIICKAo/Dtila9li3JXqwBFnziVFIoI8MYbbzBq1CjHcnZ2NrGxscX2vxcQBAFftS+5Js+hse0XtHe8/rLjl4xcNxKAcn7lGBI/5BbMUEZG5m7CNX3NaHV/yiYjIyNzO5k5vDFPz97NxP7uldye61iF0yl59K1vu/GvFe3P4aRsSXWfAqPzZqNBoejiq1U5RIt21cJoVy2sTHMa0606j7aIK9YDqay0qBxyQ7YDEOitYedbndGqFPjpegGj8Acqvf4n5YQU+io2M7SKnsEn2nNGjMaXfNZoXyFcyJRs50dzNwBGqP71uJ+F2vcly3UUCW4RTV/g2SfVjq9gixp4RvUHVdcsYrd2N5+ZH3SIJ1n5Jl7+Y5+j/8ELWehNFokwaLWKjmpuR5KzySwwEewSxWLnYmZBsQKSnefn7iXER+t4P+btOM8362xpe7/vvehWLe5ytrvwBSJWq8jEf44CMH9nIq2LGOTbCSWLvspNDFKuo5rCmQ74P9NIj/3fNj/GfM2HAAxQboBFj2Nu9AKOG+hC8lw+85+uOM6sref44/lWVAhxr7J1Izl0MYvn5toia1xFneI4fimHDEd0j1REsosyl7L0JLkYkIui6CaS2bc1Y+MZqkb4edyXUhAkgtv3G89K1hvMVtp8vFbStuX01dMns/Vm6o1bwfj7a3tcb7ZY+WnzWWrHBEgipCYtc68oVpQ4IZlQstgl1qCRcJy6gu2z+KrpST7uMwmUt0cW2GOtyn3Kbbyk+p2XVL/T1fARJ8RYdHlSESlWSOGcGInBbEGrUnL8Uo7jb2aAIBWRDGbPIpJbJJL9/6LpbIIZRDWC0vadFGURyY270qwiMtKmQtojkuxcuXLFLTrJFa1Wi7+/v+SfDCzus9ijyXZRXljzguP1pB2TMFg8/djJyMjI2DBZTFfvJCMjI3ML6VgjgiPvd2dAI3fza3+dmhnDGtO7nk1EmvZIIzrHR/DLE814pWs1mlUMpn11pym23ZPEU9n5siAIwg0TkG4Gob5a/IpUvrOi4LwYwc4KTxA+Yg5nRNs5y8WbboZJFDy3n4sP/s38HvuJ089lnHkYn5gHstUijXLI9uDFU1q2W2tQXf8Tv5rbS9qHqVZS7so6QoQcxqtnEi+c4xHlSn5bvobVx644+p1JzWNcEZPqB6dLfWIGTt/KoOlbKTBaeHHKT7R5YyZxr//N07N3l2KGIg9979ze8cvS4j9FTcZtaVhFtiDCywv2sfZ4iqNtZ0K6bW7KtbRS2AyxVZhZoBnHO+o5EgGpt+FDtlo9R7hts9YkTj+XueYOtoZDiwj4uT2PKFdJ+hUYnfP8cs0psgpMfLRcKlqcTc2j06frqPLmPzQZv4qnZu1yiwbbcTadqatOuKXMiaLIycs5ksgegL2JmZL9TvznKFNXncBotvLXgSTOpzkLeBxJyqbb1A1kOFJJpels9gi0z1eflOzDYhXdhAWwCX5L9iUx+d/jHk2RCkwWt/m6UtK6qyFgZdXS2VQX3Cvm/W/OHsb+eYQB07ZKxK+ilQabCkd5WbUQNbb2csIV/tK8xULt+4xX/cB8zYcoBZGDmvpU6PzMLReQlrmk+10UpaLom6q5APhkS6sKdlLsAURaTlzD7nMZdJu6gZ6f24zjA5CKRsZSikgOikQiCQpj4f+F6WyyiOTGXRmJVLFiRSIjI1m5ciUNGjQAwGg0sn79ej766KPbPLu7jyjfKMa2HMvzDZ6n75K+qBQq0vXpVx03acckhtQYQgX/CqiV11cRRUZG5r+BVXReHMqRSDIyMnciV4tosBMb7M2MYTY/mqYVg3m+Y1V2JqTz05YEIvydNxU+mrvycvq6WPhMC2ZsPMvb99lKgYf7abmSY6BGpB9TBrXBK8yfmLA4BgOtqobTdcoG8kxePGR6G39TLuWFK5wRo8lHRyhZfKH+kpZKp6Cz2tKA9op9KAWR5ZYm/GVpTnPFETZZ60CVziw/4fQ1fc38FDrBSF+lZ+PtZdpCb6ATPzJQG8oU0wD6KTcx1fwAf+3IZ2LV41iO/MkPho7sOxdEK8UR0sQAzoqRnLqSSwJmTn7Zjy9yNoD9bc+ABap2vGZ+kheUSxilXsjrpieYb+mIgJVJqhkMUq3jT0tzNp1oxk9bE8gzSIWFl+buZXS36vy4JYE3Khzn4OY0QCpuisDyfQmMUS2mreIAAJmiL78qOvCx+vsS36NRxmc4KFYqsQ/A75Y2PKxyRs00VxzlF0sXwCZo5Huo+vbPwUv0/2YzE/rXoUqYL+uPX+F0iu3GPSXHwIojl4mP8uflLtUAm1gzsFCgm7rqJDWj/GlaMZje9aI4kpTNO0sP06pKCHOeaE6O3sRXa09xJDGNXoptrLPW4wsX8Scps4AFuy4Q4a9l46sd0agUbDldNL1SGolkT1TZdCpF0ssqevY8mrPdKeC4Vjqzcz4935Fi5gl9CSXpS0KJhW3a5wgTsskRvWhi+AY9ngUM1+pw59PtgppIU+EYC7QfAHDaGoUFJa0VBx2RekNUqwHYZa1G41F/UEcXcE1zvR7io5yBHBdFaeRkLcVZBirX4pd5StI+QvUvu63V+CuvBar5g1irSaBX5kRAR4AgzagxW/R4ovh0tiKin0IPFh+XdLY7V+S/Xdyxv3q5ubmcOuX88Jw9e5Z9+/YRHBxM+fLlGTlyJBMmTKBq1apUrVqVCRMm4O3tzcMPP3wbZ313E+oVyj/9/0Gr1PLxzo/57cRvJfZfeGIhC08sBGBmt5k0iWxyK6YpIyNzB2PFeVFjssqRSDIyMv8tmsQF8/uzLSWpPCG+7ulO/3UaxwXTOM5ZDW/5yLacupJLUw8V8mKDvWlaMZj1J2w38Nn4ckh0GoCnEsDDprfBZBMtNJgxoCEm0EviE/SXtQUrX25LpTBfKr8pNfQebXqGTj0G8NvRAkYkvlXsvMsJqXyqmQZAG+UhW+MiUAJPsYSnitwrmkWFzVtIGkQEwEDVevorNzq8hyapZ9BZsZvOhRWlAHort/H77GFYLS24JEbhSwBBQg5fqr+k1ulznPo6mgmKRNgPE4AJOlhlacAhsSIjVYsxJmg4qYmilkLq+eqYexFWWRrwiukZMvGluEqBRdkp1uA90zDGqX8GwBvbDbg/ufyueY/KfyVj3FEX/TBbKqIaM60UB+matIt3Pm9DvVY9CPF1Ch3BZJOOn6Nc+5mUXHoURozYOZKczZHkbH7akuBo23wqjU6frrPtI/Uoy7WvgwaWWFoy0vS8o9+CXbY0p8vZBhIz8tGplW6RUUU9kdYdT2FXQjpB3hoS052fKasoeqzW5kpylp4qwgUuicHkUrrIuVx9cSXji6eKcIGfNR8RJtjOm59QwEjVIr40308eXm79TUXS8Pootrj5hX2h+brY/U0xP8Cc2yAgFaVoJFKYkG0TSAuDBi+IoZQTbCLhs6o/WGNsQL2C7aCANoqD/Gttgn8REclkyUdQZeIVMxdjRkvM2fUBD9XZ7L7aRUQkbcTfmDKaIijkdLbiuGNFpF27dtGhQwfHst3LaNiwYfz000+8+uqrFBQU8Oyzz5KRkUGzZs1YsWIFfn6ec1dlSkeA1vbHpFV0q6uKSK489u9jLOu/jHJ+7uHhMjIy9w6ukUhyOpuMjMx/kQZFTH7f6BHPvvOZDGsZd3smdAcQ7KPxKCDZ+XhAXWZsPEOFEB/eXuJZAAEQUWAorNRWLzZAIiK9c1/NYj1qzKhQNRlORt5p6p4M44DuKce609YoKiuSy3pIAA6BCGCmuTtVhIu0VR70uB6QCEh27ldu5n7lZo/bjxcS3do6K/fSGdt2NBjdBCRPfGQazDkxnHXW+g5j4quxenQ7zqfl89TsXfxs6Ub9uvW5/+jLdFTuo6H5BE+p/nacN82VA2gmR3Fcq0LrkvrzsGotM7ft4DHVcv7nsttZ5i6stYwGYNXRyx4NuwWsDFau5aQ1hl1iDQBOp+TZxBCtUwzpp9zCSNNzgIAWI0ZUiIWOLPsTMxm1YL/btoumsyVn6RkwzRYJpcBK66iPMChNzN1ajeTMku05yufu5zvt2wDMM3fgE/NA0ihZfLmSI42EqSpcoKdiOy+rF/GpaQBfWqTl4tWYWaV91W07z6j+ooJwmf+ZXpa0K7FwaePPNBNCOCqWp6HiBC+rSr5vy1aHc6LGszQ+OBaAXdbqJfa/0TzRuiIzNp1ldGF0mp0MSr53vyCGOUSkmopzjFH96lg3Rf0NDQzT8S+Szma15NEw/HtOeKfh5X2ePH00KIyIYrikn0NmLZLOpvY7gtrvCMaMpgCIFjkSqSh3rIjUvn17xBKUYUEQGDt2LGPHjr11k7qHaBbVDIWgkNwQXo0ei3vwQoMXyDfl80KDF1Aq7uyKLjIyMjce178ZZmvZn8TJyMjI3G3EBnuz5Y1Ot3sadzQR/jre6mXzQ6odE0C/rz2LKna61IxgbO9a/HPQ6X8aeJWqZFqVgjBfDdn40kr/OY0Vx1lqbYVrRE4fxRa6K3dQgIYHlJsAeMT4Bies5fhJ8zE1Fec4Zw1nnVifYcoVjnEHrBV53zwUEPiBybRWHGKztRYdlfvIFr2YYB7CQOU6NJg5I0axw1qDBZb2fK/+lHbKAx7nmy76Eix4LmzjiXj9TArQocbMZu2LDvPyEcYxrLU2KPV27FQM8aFymC86tRKTxcwJRUVMohK1YGGxdqzHMVoPpdAfUy13a3tUtZJHz6+EsfAU0FUTweOmVzgtxtBOsZ9nlH/SwiV98R3TcPZYq9JBsY9X1O5iyKuqX5lh7sk/2jc4L4Yz0PgegERAekb5B2FCFuPNQxCKpLO50kpxgL2BWQC8vLELP+SMBUIpGrmlxEKMkMp35rcdbQ+p1vKQai0bLHWoorjIHHNnvrb0c6yvKlygmeIoo+Y7P6tNhGP85mIcP1q9kNFqWybHWWsEDxjHMUczQbLvc9ZwKihsoTg9lDtZI4ziAeNYMvCji2I3DytX00HpSTyz4emz5T98Po0japOQvodZCQEMaXVrRaS3esXzcLPyVAwtashecsRcThHfNFdzfm/BwNPKv9Aq8iV9IvMPoFWaOYFtX14VvkehyiHT+hrgIXOmaDpbISpfW4SbaCpddcB7iTtWRJK5vfhqfNn/qO2P06vrX2VZwjLHulcav8Lnez73mKry5d4vAagcWJnelXvfmsnKyMjcMbiKSBbx2o0lZWRkZGT+m2hVxXtSTXukER1qhKFRKtwqLteLLT76462e8QiCgI/WdmtzkTAuWt2r5P1hbckf1pYATDE/SCA5HCr0DeppnIgSCxaUNK8UzKyzXZipnsxf1uZMNg92bOM504v4UUAKgewe3YY2k1aSj475lo5u+xthehUfkx5v9LykWkQzxTEqN+pE/a1tyCyMwKgrnKaTcg/JYggHrRUJFzI5L4bTQnGEN1Rz8REMjDU9SkFhhJEJFd0Mk6itSGCjtQ6uN+Fv9KjBRJdKXfYKg55QFFYs06qU5GDmSI4PfYwfOj2ksKXz1TT8yBT11/RSSkvI54he+AkFlIY4xWWmqL9hgaU9H6p/dFv/gfqnEsf3VmxFFRBMpCGDSCGDBN3DLLW0pIJwiWPW8qQQyAuqJQA0UhznC2UEOwvHNlIc5zH1v9RTnOYz8wDeVf1IS6Jsx67IY7PuJZZaWvKSS8rcKNUCXizcnifs0Whj1Av4x9oMNWaGKVc4/IaUeis/Y6tI+HBhmycqKi6zWfsiXoLTd+lLcz9WWBrzp9YpXlVSXGK99mXy8CJKKNm3trZ+BnUUZ5mnGe9sfHwlxDQCoMITs3gq23DLzfwFQaBSmK/Hde+GTkGbvJO31HPd1m2x1qSL0t3I/uPgQI5pNLyWtJm/fKTFsqwY8XeJg1CobPmomXgWdIVCcVQrBGEQM5zj1LbvjtVYtoqb9wKyiCRzVd5r+R73Vb6PIG0QZ7LO0KdyH5pHNWfAnwOKHfPmpjc5kXGC0Y1H38KZysjI3G5cRaSyRDLKyMjIyNwbBPsU7yEV6qtBq3KPZK8V7U+VcGfay+eD60uMjZ9saxOC7CISwP0NYvhjf5LETLdeuQBmPd6MeuNWcEEM4wLSm0MLSlaPbkeYn5a6Y9NpZ5xKiI8GzM6bfD1a9GgJ9tEQEujPRw+14L0/DpOeZ+Tx1hX5YZOz3LsVBTl4k4M3b5qf5OMBdancOJbMrX87+hwQK3PAXNmxfLhwuqctMQ6D66Jk4M/AQcPYOE+aPvdU20ocTsrmj/1JAPz9YhuemrWLFUcue9wOgE5tE/VsnlUVGGh4x2HMvNzaBCNqnjON5DkPGepbtM8TLaQzwPAuJ8RYnlL9xQP9B7Pl968dkV526irOUldx1n0jHphl7sJPlm6ICKzVjiZWkcJThp8kfexG6vUV0ipe9RVnaKFIZSeBtnOi+ovOSpvYNVn9HXku4qS+8HVf5RZWWBrzt7U5AIOU69zm9LW5D7WFBLfIsrVa93udceqfKSekMMn8EKKLyPehaQj/U/1BiOA02bILSPutlehr/AAQELDyq7k9AiL+Qj7dlTvxFwrwRyra5YlafARnOt5KS0Ny8SbBGuns1PEdKOeMvrkTq0G+/cxwluzrwvOLQ/hK86Vk3V+WFpwXw/lB86mkfXaATTi67HOFnyKlUYrZCgVqDxlNekseSZkFRAcW8ZgqjESqpXmCPYbJbuPMudXc2u51ZBFJ5qr4qH1oW64tAHXC6gBQPbg6D9V4iHnH5hU77qfDPzGi9giCdcXnyMvIyPy3kCORZGRkZGRKItTX3aS2XbUwUnIM1IsNlLR/PKAu64+n8NmgepL2vvVjyMgzMvbPI5J2XxcRyVerok3VUNYdd1bk+uaRRgR4qZn/VHOu5Bh4sVCE0aoUDt+eykWiJd7qFU++0ULTisF0nbLB0T55QF0AeteLpmutCI4m51A3JoC3e8VT8Q2p8bedBxpKvUPrxARQPsSbvw8kM+uxpoxasJ/UXHePnvLB3kwZVJ8HvnVWoGtbLYyHmsby14FkcgqNnAVBcKtI/2r3GqTkGlAIArvPZVCUohWrdojx9DJM4DHVMqab7/N4HHb6GT4gTrjk8DTy7j6OqIYVGb1AZLTpWbzRU0c4y6+FolRRznSZyfN/XeJT9bfEKxL5zv8FJl1phhV7tFrJptfFYXUJYiv6OMvkIiJtEONpwT4AvtZ8gdmowICaiMJUQVdmmbtymSC8TAYqCpd4QLmRx1XL3PrZeVL1DwOUGwgqTCvbYKnDz5ZuJMb2YfqlQZK+aaIfg41vY48qE1Hwmtnm66XGzEnlo46+c8ydSBTD2GCtyxExDhAZr5pJrJeB5/VPALDkzYFwKRJ0AVC+WfEn6g5Bo1JQI9KPV60taGI+xjDVSse6bLxZbW1EtuiFVWkg0Cp9R02CezrcBZWKYKv7g8w0fSotJ61hy+sdiQ70KqwoKCIobN8fS0EUFAmUtOSXB/HeK55wNWQRSeaaGdVoFG3LtaVRRCMG/DGA8znn3fr8dOgnXm70sltIsoyMzH8TORJJRkZGRqYklAr3a8KfRtgiJYpeLw5sHMvAxrEetzOgcSyL916kS3yEo801EslHq+LTB+vR6MNVjraYwgiE5pVC0JucDzr61o9m48lUmldylhv/6uEGHEnKpl/9GEfqV80of44kZ/N2r3g6uexXq1JS30UAe6hpLPN2OE2zK4b6sHxkG8exf9C3Fp+tPMGE++tQMcyHlzpVpVqEHwaT54cvBSYLjSoEsWFMBw5ezKJF5RACvNRM7F+Xif3r8tuuRCqHe04VqhLuy+/PtmLa+tMeRSSjB9Prw2Ico03/k7TViPTj2CVpmbpMVQiD7m/Pjt9sFhgtq9jOnz1SLB8d28V4auh/ZFP3ywQaLqJUqBCqdQOfUCqFVuXUP8voYfyIlpVD+HZII4ZpFFR/2+6zJGCu/SCqQzafpMWW1nxoeoTqikRmhszFK8cZ2TTd3It8UcfL6kWkKp3RbNYinymTy+L3YlespnjeUNseik/XTHWs22OtQn/jONRY0GJ0VGYrQMcRMY5T5hiJiHRRDOFbcx96KbY7/J7sAlKW6M1TplGYUBEUFs3riU8wST2DbF0Mp42BvFcw2JGuWBQTKvobxvKB+kc+ND/CVmutIj0E3jI/Ti0/f4IEIyqlQJivFqp19bi924HZaubDbR/SMKIhfSr38djHX2eLJjolxjjakoVwDNjauwR0JT9kLz8kX6ahvmQz9HNqFQqTu3+XvyqFGsIpXpoXyMQH7MK08zu36WQmfkWsoqwWz9+rex1ZRLpHuBkajk6lo3VMawA+7/A59/9xv1ufHw//yI+HbbnPLzd6mcdqP4YoirKoJCPzH0WORJKRkZGRuRr/vNiGnl84y75fy3Whr1bFH8+3lrQFeTvTWurEBEhKzxdFp3YKDSqlgs2vdXSIRQD31Y3mvrrRkjGzHm/KroR0utSMpCTG9aktEZHubxAjSdMb2iKOR5pXcBx3tcKqc3qz599Nu49U+RBvyoe4l5l/0EVoK64wkat29+mDzsguY5G65588WI9XCkUhnVqB3mRb/0bPeJpVDKbf15upEOLNwMax1CkXQLifjuqRfuhNFmpE2lKM+taPoU+9aEdE1sOtahDaXlqRzM7m1ztSYLRIjuutnvGM/+coDcoHourxEVTtDDX78s/cQ6QfvYKhXCu8nn0VVr4Lmz9nVdBgZusH8feLbbic9SHz/+3mPFbTA7yjb04WvkxQ/8AuMRyw+TsJCj3TLb0ZoVpOpOAU2AyiisnmQYCACRUmD7fMRtQ8bXyZb9VTWW1tyJMmW1rbamVrlnuNJaDA+f6PML6KHttnMchHwzRLew5Z43i8Tx/ub1iBA6//7bZ9V+q26EqvLSWnVHmplWx4tQOCgORzfCew49IOFp1cxKKTi2gT04YgnbtRtabwM57tYqS9W9OE+UNbsGj3BZbn26IGvwoK4NtLzujClWJdQFp9MUehIF3p7r0WqUxiifZdjieXY8g344kkm0uCUySapZ7Mc0XGiGZ/ZNyRRSSZG0KVoCqMaTyGKXumMLbFWN7e/LZbnym7p6ASVEzZPYW3mr/FgGrFeyrJyMjcnVhdAsetHkKJZWRkZGRkakb78/GAury68AC96kTdsO1WCPHhte41CPPT0rOOVOhRK4u/sa4Y4lOqG+9QXy3da199vpoi5uGDm7hHU3kSzvx0atLzjG7tHaqHu7UVx1NtK/HXgWR61ZXOU3Dx5mlf3ekFZXIRkdpVCyPczym8jetTi9cWHSQ6QEfrKqEoFQLLR7Z1eyBcO8bd9FwQBNpWC2P7mTSeblep2PmG+bkLfU+2reTwuQKgns3Y/KMH6jJ/ZyIDGhWmBXYeB1W70jm6AR1V3igUAlZrqGRbqtA4UrJtosUrpmeoE2fELiLZS7vvqPkWfY6+Qp5XDEtzqvOntYWHiB93zoZ1oM3lONJwCg2NalQi4KGDcGQpxgt76L4uljOiU4wM8dEgouCQWAmtWpom9eOIJszeeo5BTWJ5Yd5eR5RY9Ug/roZVFN0+d7eCr/d9TVJuEh+0+gCF4Hn/2UanuXtSXhJBuiBCfbWk5hocAqmq8PuZjbN6W7o6kvsqhdCsYjDLZ9nagi1W0gRn1NYimqJjqWR/oiBwWekuc+QVfserKy6wnWFYtQLj6c0CQBChjXCcRgXh7PZybl80FW/ofy8ji0gyN4xHaz3Ko7VsObt9q/Slzs913PpM3mUzKxu3dRzd47rjq5FDBGVk/ku4PgGVI5FkZGRkZIpjQMNy1CsXSJVi0rCulf+1ryxZbl0llE2nUhnSrIJb3wVPt2DV0csMbeG+7kZRM8qfcP/SGRn/MKwx93+zRdL2YscqPNWucjEj3KlbLpD973bF30t6m2dx+X1Wu4gNJouz/ftHG7PnvDMip1WVUBIm9XLbR2kjx34Y1ph8g4UAb/XVO5eCEF8tz3Wo4joRiLNFo9mPqKgY2K1uDBT4czQ5m9mPNyUqNIv7/ygcXuiFkxTZETrvYWOChTd/O1nq+eQZLFwsYs4u2udVqx/qmn05s1bqj+VqLG83NZ86qD6J6fl0qB7uEAwDvdRcybGlbZXmbFuuzT7qujBbzUzbPw2AB6s9SP3w+h77ZRucIpLerAfglyea8vHy44zqYouwUits5+J8wDkeCYzgy8spZGltQrDeoneM32uuxf2mboBtv4LKc/VBowdROF8hFbmuqBTsidwBaPCz2s7z51dS6aN+lPToNQBYTYE8U4bv372CLCLJ3DZazGvB03WfZlitYaw+v5qNFzaSacjk8w6fy+KSjMxdiqtwJHsiycjIyMgUh0IhlCrC4nr55pGGbDmVSnsP0TxNKwbTtOLNKQDTt340S/cl8ULHKlfvXEiD8tI0n9mPN6VN1bKXF/ck2rgaaKtdbqZd2zUqhSRiy1OlvLKgVioI8L610TGqIuKBUgGL/teCxPQCqkf6cTQt1bmyMBLJYLJCSFWUl4tWsbPi5rTsQttqoZK0RUDiBW4ra+/DmZQ8R1uAl/O98Sv0AerXwOkD5Jy38zgCvd2NnQO91WTmO0vmFZfGeDNJLXCeyxMZJ6gRXAOdyl0wzTRkOl4bzDZhrEakPzOHO6vG2SORrkRu4wpaFvr5kq6zibt5Juf5uywGYRS8HPFKKt+jkn2JVg2Cwj2aDyBPUHDCGkM1xUXAlhp3SmM7tyEW27kMsFpplqtm8cWBaL3P8I1lC13IBet4UFzf9+G/xK2PeZO5Z1hw3wJeavgSbzZ7s9g+0w9Mp+W8lryz+R1WnFvBjks7aDGvhXzzKSNzlyJHIsnIyMjI3En469R0rx0l8UC6FXw2sD6bXutAj+tI17sWAak4DC4G2lqXSKSnC9PGikZwAWjVd9+tYlHjdoUCvDUqh2BpsjqFF3tp93yjTUxyPS9Kn+P4VhuHyu+gx/30rR/tVskPbGllrsx9orlkOdBF4IsL8aE4vnyoAd4aJR/2q02XmhE82Kgc4++vzY8jmlA5zEciwIB7lb1bweV8p+j2wbYPeG3Dax77ZRmyHK9do4pcUSsVIDjFH40okuNbEYBcY66zo8IACud7qNRdkmxHtBZfSU0UoKdpLPutts/8ZReRVOvyvn2s/p4l+oUczlxMV8tmhL2zZQGpCHIkksxNIz4knviQeAC6x3VnztE5TD8wvVRjR64dyRcdvyC1IJWJ2yey4twK3mvxHgOqDWDxycUUmAvYkrSFc9nn+Kz9Z1QNrCqbdcvI3AHI1dlkZGRkZGRsYka5IHcT7NJyo9P8XKuwuaZ8vdipKp3iI2gSZ4uCctVAtLfBY+d6cRORitweuIpIQmEkkrZQYHQ9Xu/ytsJAXuXmkHN0ktt+qoT5ehRuigYEqVwiuzrWCCe6sEIgQKhv8YJH47hgDo7t5jieyS5m6J48slwrE95MEnMSCfcOR6vUcjlPGrm1JnENWYYsArRSHyHXSCKDxXNlNbVSgUKT7lheYupAPR8ft/GCUo+g8LwNY0YzVD4lpyNalEb6iSMpHzKfbEUOUChwmf3pYXiJZdo3AKitSHAO8o1w2869jiwiydwSgnRBPN/geR6q8RDtF7S/av+1iWsxWU10WNDB0TZu6zhqhtTkvS3vSfo+8McDAMzsNpM6oXXQqXTkm/IxWAwe3f9lZGRuHq7RR3IkkoyMjIyMTNmY/1Rzvl57ivf71r6h2zVZPD/Y8dGqJCl9rhqIxkOFqzsdgaLCjnRZGolkE5Eeb2WLeNGWIVpNoRAkPlN2ikYiuaYOxgR6ERXgxbwnmxPso7nqA/CiglhJTLjf3Yv2RnMg5QBD/hlCvbB6/NLzF0kkkp3NFzfTs1JPSZurCGT3RCqKUiEgqJwRS4coRyNNLqvPr8ZL5RTeBIUepc8Jt/HGtNYYrvRCWfHzEo/Bt+pHAKS7tIkWHbsvP4NVjOR7c0+eVEl9rNAUHzF2r3L3/WWQuasJ8Qrhg1YfUD2oOkFap8DTIbYDjSMaS/r2+b2P2/hBfw0qdtuP/fsYTeY04efDP9NsbjPa/tqWxScXk5KfgtHiOTdWRkbmxuKaziZHIsnIyMjIyJSN5pVCmP14MyqG3tgb1+JEpKKEuBg/341R/mbRJFkWhCIikkWaztazTqTDQ0p3lfQ9V78lQQCrp0ikIstKpXQMQIvKITfUD0ynVtzwyDVPLD65GID9KfsB3CKRwOaNVJR8c77j9ftb3+ffhH89bl+hznS8FhQm/kp9nZFrR/L7yd+d7Uo9Su9zbmMt+RUBAdHq9GSymp3n2FLgXiHRTt7Z57EabCbe66z13Dvchd+Dm40ciSRzy+lXpR/9qvQD4GDKQVILUulQ3hZxlGfKo/lcW+7whdwL17T9T3Z94njtGrX0WfvP6Fy+M8czjvPhtg95tv6ztIxuydTdU/nh0A88UecJnqzzJN7qsocerz6/mnlH54EA77d8n2jf6KsPkpH5D2IWzY7XciSSjIyMjIzMnYFrOltJVArzZVL/OoT6am/yjG4O7ulSUlnHVdAQBLOkOt3VjMR1aiW5BpfrHA+n1C2drQzRRNeKWnF74kI8RSIl5Sa5teWbnOfcLJp5Zf0rdIvrJlmvUWoQlK7eR3ryLDbj7uUJyyXtSq1Lv0JES2G0ksUZtWRKb4k23CZY6S/1xqfiN27jjOktEE2hjuXN1tq8bPwfuXjxveYzW2P5Fm7j7nVkEUnmtlInTBp66aP2YUr7Kby87mVJ+/st3+fdLe9K2ioFVOK33r+RbcyWpL0Vx6h1oyTLT698mn/6/8MPh34AYMbBGSw8sZAw7zBCdCE0iWxC7ZDaXM6/zH2V70Ot8FyedHvydkauHelYnrh9IhPaTMBPc/MrjsjI3GmYrc6LKzkSSUZGRkZG5s7AWMpIJIDBTcvfxJncPA6nHeZizkVJW9FIpJMZLp45glniL3Q1DyhvjZI8cyaiqEYU8ZjOVrRKmmtKmuImRbSob7B3lcFi4Hj6ceqE1pFEo4lFBDm7iBSkDaJtubYsPb2UpDwPIpKLcFeUbGM2PRb1INYvFkHpTKssaphtR6HKc2uzmn2wFEYSCapsR7sxrY1DRGpWoQLbTryDNmohaj9bRTd9cn9MmU2LbE3gd2sbAB4zvsL9QWfo3XlssfO/V5FFpHuE21D18ZppEimtNrBqwCoifCIkItKiPouoFlQNgFCvUGb3mM2E7RM4mi4t83g1ei6W5uxmGjLJNGRykpNsS97maLfv+/Haj/Pbid+Y2mEqMw7O4Hz2ebeIqXUX1tFyXkt+ve9X4oPjrxoKbLKYUCs9C1QyMncbrmHiFqsciSQjIyMjI3MnUNpIpLuZb/d9y/oL64u0Sm+CLua6iEwKM4OaONOc1MV4QE3sX4ePlh9j0oNVeWnry4hWDVbrfEk6W9VwX05eyaVvgxjJWNdIpJtVQU2tvLHi1LT905hxcAajGo1iRO0RjnbXh4Mmi8mRzvZlpy9RCSqWnl7K/pT99P+jP2Maj6FFdAvOZ5/nSNoRt31YRSsKQcH25O1kG7M5nHYYTYhzvUJXckaK1RhCwcVBIGqwGkNAtN1LmTKbovT6HXNeFUCF/nIPBKWBJnWrsPX4SfQXhuHZlcmdNdaG5Pl3prfa6+qd7zFkEUnmjiNAG8DBYQf58/Sf+Kp9ifCxOeL3r9rfkYtrF5Ds1A+vz4LeCyRt25O3s/HCRn4+8vMNm5s9aumxfx+7al+7f9PIhiM5m3WWvlX6Eu4dTgX/CoiiyO+nfscqWpmwfQKP1X6M5xs8z8ITC8k35fNorUdv2Jz/yxxNO4pWqaVSYKXbPRWZQlwNKyXmlTIyMjIyMjK3jdJ6It3NpBakujcWiURyNXZWKiySSCFvjed0toealmdwk1h2Ju+xbVJhxCKasYjOsYufbcnJK7k0iA2U7l4QUHqfRFAYydHfHLuLSH/d1TuVgRkHZwDw2e7PJCKSa7R5Yk6iIxIp2icalcIpK5zMOMlTK5/i4LCD9Pq9l8d9rE9cT4fyHaQeVS54ijhyxWoMxap3j5gzZTbBagrCUlDBtpzeDoC+9aMJ89Uw9s8jN03Mu5eQRSSZO5belXtLlsc0HkOlgEqSHNqSaBbVjGZRzRheezgvrH6B+6veT7o+na/3fU2fyn344/Qfjr6ze8xm6LKhADQMb0i2MZtTmadKPdfKAZWZf9981l1Yx5j1YyTrpu6ZCsDS00sBaFeundtTkukHpiMIAtP2TwPgy71fsrjvYgK0Afhr/B39CswF7Lq0izqhddCqtOy9vJdpB6bxdN2naRXTCrCF0RaYC67J2+luIkOfwcC/BgIwutFohtcefnsnJANIhaPiyrjKyMjIyMjI3FpGd63O2mMpjGgdd7unctPwKCIViUQqsBQ4XgsKqYDho1Xx44gmKASB57c62+2R1a7WQ3pLHlar0/zcT6emYXn3qtBGixHvCraH0On6Jm7rr4cfhzfh67WnmPygBzPom4BrKmDfpX0BCPcKJ8w7zC2ND6RV2QCGxA9hztE5ALy49kWqB1WnTbk2pd6/OSceVWEqWrRfEKc99lJgyavm1qpRKhjaIo4/9iexMyEDgGYVg9l+Nt2tr8zVkUUkmbsGX40vw2oNK/O4UK9Q5t03z7H8TL1nEEWRwdUHUyO4hiOVbO/QvZisJkkZyXR9OmqFGp1Sx7KEZby16S237U9uO5nuFbsD0D2uO0pB6ea/5Ip7mK0Nu4AEoLfo3VLtSuKZVc8wotYIfjz8o8f1D1R9AEEQeK7+c4R6hZJlyCLflM/Gixs5kHKAQdUHUTu09l1VhcNV5Pt096eyiHSH4FoJURaRZGRkZGRk7gyqRfhxaFw3NDfYP+dOwSpaSdOnAZB78nW04f+iDtjLhdxz/HLkFx6s/iBapVYSiSQo3K9THB5JLiLS8OXDSSlI4ZXGrzjaDNY8FNarP7BNzEl0vM7UZ5XQs+x0qBFOhxrhV+235/Ie3tr0Fq82edVRzKg4ivpZns8+z5JTS3g4/mFOZ7rLNl3jugK2iKt5veax89JOPtttM6S2F0uy83rT1x0iEsDxjOMczzh+1fnbKbgwlNDyKzD4rOOd9o8Q0aUBgd5qWkxcc9WxqsKUP9eURVUp0gDvolujW4osIsnckwiC4GbqrVKoJKGYAME6p8Fbn8p96FO5D2CL9ilOcOlSoQsHhx1k+v7pfLXvK3zVvlQLqsaeK3tu8FFIKU5AAlh0chEAC08s9LjeHiUFUDOkJn0q92HxycXE+cehU+lQK9QsOrmIAG0AP3T9gekHpvNc/ec4nHaYb/Z9w2ftP6NGcA3MVjN6i56xW8bSJqYNfSr3Yful7byx8Q1ebPAiPSv1RBRFSZSU2WpGpVAhiiIW0eL2HhRHjjFHsix7S90ZuEYiuV6oycjIyNxuLFYLR9OPEh8cj1JRchUmGZn/Iv9VAQlsvqb2dCvR7AuFqWZLTi+E07brkxG1R0ivTRRGT5tyY1/KPgA2J212tBksuRzMWYxv1W0UXCjehuJctrMcfZfagaU8mhvLy+teJl2fzotrX+TgsIMe+yTlJpGhzyDEK0TS/tamt9iXso91F9ZJKvACCAg8Xfdpx3Lt0NrEB8c7RCRXZveYDdgeuEuqrRUyqc0kRv62FaXuAurA3Y7215u+zsyDMzl76BFAgX9BfxY/9gGBusDSHj4AqsIwMtfvgPI2VbX7LyCLSDIy10BpInaervc0j9d5XCKKLE9Yzpj1YxheaziPxD/CopOL+Hb/tzdzqmXmSNoRhwHeiYwTknVZhiwG/DkAgJXnVjra7f5Prqw8t1Jihj5261jGbh0r6fNwjYeZe2yux3koBSU6lc4tFDbcO5xJbSbx82Gp19XmpM20iG7BrMOzaBnTknCvcHKMOZhFM+Fe4Tyz6hnS9Gk8WedJ6ofXx0vlRYR3BJfzLhPrHyvZlsFiIMuQRZhX2FXf63R9OkHaoLsqisuVtII0gnXBN2z+BWZnmPiV/Cs3ZJsyMjIyN4IFJxYwYfsERtQewahGxUcMy8jc6Sw4vgC1Qs39Ve8v9Zh8Uz5T90ylW1w3GkU0uomzuz3YTZ5DdCHkoAKk1zV7r+xlBEVFpLJFTB9KPeR4nW/NJMG4BkEFKv/9nMs+h4BAeX+pT489OgqgWeUbZzUhiiI/Hf4JEZERtUaUeB2XrnembOUYc9wqSGfoM+i12OZd9GHrDyXr7AKaPZXNW+VNiFcIF3Iu8O8D/7qJOUqFkqaRTdlxaYejbf5986kVUguAye0mexSRulboiikDTIApqwE+5X9mdJOXGBI/hCHxQ4jb8zcACkFRZgEJwE9nux+TRCIpShGJxN15fX+zkUUkGZmbSNGomu5x3eke192x/Gz9Z3mm3jOk69MJ9QqV9E3KTSJQG8jpzNNE+0ajFJTsuryL2qG1USlUhOhCEAQBs9XMtP3T2J+ynw9afcC+K/uoEVyDC7kX2JK0hdlHbMp/gDaALEMWDcMb3vSoqNJSnIAEYBEtbgIS2IQJT8bmL6x5wfH6i71fFLvdD7Z94LG9Y2xHOlXo5DFlUSkosYgW7qt0H8sTlmO2mmka2ZTDaYfJM+WhVqh5vsHz9Knch8v5l7mSd4UCcwFJeUlk6jMJ9QqlSlAVmkU2IyE7gdOZp4nyjSI5L5lO5TtxNO0oVtFK3bC6XMi5gEapIcI7gq1JW9EoNQTpghizYQwvNXgJf60/AgJf7P2CofFDaRDegBxTDnqznooBFVEIChSCggx9BqczT9M4srHb8ejNegwWA8vPLufD7R/yetPXGRI/xK2f2WomtSCVSJ9ISfTdpbxLhHqFeowacw1L3p68vdj3Qeb2Iooil/MvE+EdcdcKoDIynjBYDBxLP0ad0DooBOlT5gnbJwDw46EfGRo/lDDvsNsxRZn/GPmmfDIMGcT4xly98w0gx5jjuJbRKrX0rFQ6+4Mv937JvGPzmHdsXrHRKHcz9gdX4d7hJABikZt/e3aB68MuBKmIlK5PZ8ruKYR7e04RO5Z+zPH6omG/43WVKAv3/X4fALse2YVWqQVgztE5TNoxydHP03VtWfnh4A+cyTpD97jujoifhuENqRlSE7VCfdXf9E92fUKH2A4cTTvKE3WfQK1Qs+vyLkeU0apzq0oc76fx4+fuP6M364nyjfLYZ0bXGaxLXEeaPo0B1Qa4rf+t9288+OeDjuWlfZeiVqp5vkMVvlp7Ckt+FRrxLcNqNXMbey1XLPViA9GpbdGnGqVrJJLAxw/U5dVFB65hq/c2sogkI3ObUQgKNwEJINrXVsHBNe2uc4XObv1UChXPN3jesWz3Z4oLiKN1TGtebfJqqeZxMOUgeWbbj9vPh3+meVRzmkY25WzWWXJNuSw7u4xdl3eV/sBcqBpUVWLGdyeyJnENaxI951RbRJuh4l9n/nK0uT5hMVlNTNk9hSm7p9zUOT6/5nnJ8s5LO0s9tkZwDcnFjyuTdkySXOT4afyoHFDZ8fSpVXQrdl3ehZfKixBdCKezbDnxXSt0ZcW5FY4+Mb4xJGQlOLaTlJdEnZ/r0CC8AS2jWxKgDWD52eVUCqxE+3LtuZx/mXJ+5UgtSGXZ2WXkm/LpENuBledXciDF9oP+UI2HaB3TmnxTPicyTnAq85RDiPXV+PLr8V+J8omiX5V+7LuyDx+1DzqVjiqBVcg0ZFIrpBaj1o3CR+3DyEYjWZ+4nj1X9jCw+kCm759OnbA6xPnH4aP2Ic+Uh4/ahw6xHbiYexGz1Yy32ptfjvxCfEg8CVkJLD65mGldplEjuAapBakOMddkNbEhcQMtolvcw0mfsQAAMYdJREFUFab2y84u47WNr+Gv8WfNwDWOC14Zmbud97e+7yicUfRGOc4/joTsBADWXVjHg9UeLDpc5g4jKTeJMK+wOzpd/ZX1r7Dx4kYW9l5I9eDq17Utq2jlzU1vkpiTyA9df0Cncq+6laHPcLx+beNrVA2qStWgqm799GY9WqXWISpsTdrq1gfgiz1fcDbrLJPbTS61pcCdiL1SmL2qs6CUCjaLTi6iQ2wH9BaXSCTBKHlI9szKZziafrRU+0vUO6+Jzxuc14QJWQlUD67O1qStkmsrgFxTrmT5fPZ5NEoNMw7OoElkE7fiQZn6TL47+B2Dqg+ign8F0grSHAV7UvJTHP2m7J7Cnit78FJ5sXnwZsn3RRRFBATEQoPxxScXO6pd6y16elTswfht4x39V523iUiRPpFcyrvkdtwT20y8qgAvCEKJ3ks1gmuwY8gOHv/3ceqF1XNUWX6lW3W+WmvzPFUKnlPNIgPKXonuy8ENHK9d09kMZisDm9iyEWQhqWzcvX8pZGRkbiiuYlXzKKcRXnxIPAADqw+8qm+R3qzHaDVKKsp5wmK1cC7nHAuOL6BflX74afwcT/DyTfmOm/ACcwFGixG1Qk1qQSoXci7w6/FfOZZ+jLphdakZUpOB1QeyLXkbGy9sZNPFTQyqPohV51c5UvLqhNYhITuBHGMO1YOqOyJ39l7eS1Je0rWfsLuM4gQkT+QYcxwCEjg9AAwWA5mGTEe7XUBy7eOJvVf2svfKXsfynit7ivXnKholZ39q6sraxLVu4349/mux+/c0X3s65rUIo65Pz8AmuhX16Gpbri0qQYXRaiRYF0ycfxwXcy9SKaASGYYMfNQ+nM48TbAumDphdTiRfoKLuRepGlSVmsE1uZx/mdSCVH45+gv9qvTjiTpPYBWtmKwmvFXeZBuzCdGFkJiTSJo+jVohtdAoNSgEBcl5yUT5RKEQFKTr08kz5hHrH4tVtJKht+37tY2vAZBtzGb6/um82PBFj8dqFa2YrWY0Sk2Zz1NpMVvNpOvTCfcOL9FvTubWk5idyJH0I3SM7ei4KTmTeYYCS4EjNcHOmcwzRPlGSYpT2DFYDJitZnzUPm7rbjSulVcv5l6U/LYk5Tr/5p/NOgvYIiZDvUKpHFj5qts2WUyMXj8aL5UXk9pMcnxWUwtS0Sg1+Kp93aKfXEnXp7MlaQvd47qX6Wb995O/M377eD5o9QE9KvYo9bi7gUt5lwj3Dvd43rYlb+PJFU/irfJmzcA1bp+fXGMun+7+lGaRzRwP0BafXEy+KZ8h8UNuyd8Sk8XExosbAZtI8WazNzmVcYo8cx4R3hHFHltx7E/Zz99nbGk7ree35suOX9IiuoWkT9Hfu2Ppx9xEpO3J23lyxZO82PBFnqjzBOAUWYrO//uD3wO2B1MtoltQYC4gOTcZEZFz2efoENvhrvi7bBc8IrwjaFEphAOkuPV5fs3z0vdDELmQc4Epe6ZQLahaqQUkgDyr+/YBPt31KdO6TOP1ja+7rUvXp5Ocm8yl/Et4q7wZ/Pdgh4/Tr8d/pX5YfYcIBvD25rdZf2E9s4/MJsY3hou5Fx3rtiY7RUH7tVOBuYDBfw9mXMtx7Li0g25x3diStMUhIAXrgiWpbTMPzWTmoZkej2Nw9cH8cOgHcow5VAqoRMvoloxpMqZMn+eS8FJ5MbdX8RkJRWOOZj3WlB82nWVC/zrF9HenT71ofLRKYoOdv0tqFzPtDSdSPO1KOos7/6N/W5BFJBkZmVIjCAIqofg/GzqVDh1Xf0KgVCipFFCJ15u6/8C6RnF4qbwcNyTl1eUp71+eljEt3cZ0Kt+JTuU7OZafrPskFqulTMapFquFDEMGBaYCCiwFVAuqRpYhC2+1N2qF7ebJfoN7Pvs8IiJGi5EgXRC/nfiNKoFVuJhzkXJ+5WgV04pNFzehVqhJzkumY2xHZhycwbbkbYiIhHuH07tSb7YmbWVZwjIaRTQiy5DFqcxTaJVamkc1Z/fl3XSL68beK3s5k3WGKJ8omkY2JbUglc1Jm2kW2QyEOzNlrEuFLpzMOOl44v9fp6iABLDhwoZr29hZ96aSLvJuBN8f/J7vD35P+9j2XM67THJeMpmGTHRK23dZb9HTPa47z9V/jli/WI6mH2X9hfVYrBYq+FegYkBFgrRB5Jnz+Hjnx5zKOEX14OpUDKjI/pT9VAqoRN8qfZlzdA6p+al0qtCJQG0gCVkJ5JnzihUU7QRoA2gZ3ZIQXYgjDeGZes84bs7MVjN5pjw2XdyEVbTSu3Jvyfh0fTo+ah9JtFVCVgK9l/SmVkgtPmr7ERX8K5TqXG26uIn1iet5tOajDi+1FQkrGL1+NG80fYMuFbpwIfcCtUNrO/5uHEw5SLo+nXax7QCbcJean+p48nqncinvEj1/t6XJvN3sbQbVGMSlvEuOss7rB613pIf8fvJ33t3yLm1i2vBVp68YtW4Uq8+vpm25tgTrgtlycQtXCq5QO6Q207pMwypayTXlciz9GPHB8ZTzK1fsPKyitUw3LSG6EIcHyYWcC/hr/PHT+DH32FyMVqeJ7uwjsx3p3gCbH9p81Qcgn+z6xCFij2o0igifCDL1mfT5vQ85phwEBFYMWEGkTyRgE7G2J2+nZ8We6FQ6Ptz2ISvPreRUxilGNhoJ2LwS39n0Dh+3/djx5P5M5hn8NH6EeYex6twqh7/gqxtepU5oHcn5Wn52OQtPLOSDVh8Q5RvF9uTt/HP2H0Y2HEmQzlZufPfl3RxLP8bDNR52iAGiKGIWzY7P6a0mXZ/Ou5vfdVSsndxusiTdH+C1DTaxO9+cz+j1o5nWeZpk/eRdk1l8cjFLTi6he8XunMk8w3tb3gNsBr/1w+sDsCVpCzMOzuCd5u9QMaDiDT2O7Zecv8Hzjs2jblhd3tr0lqTC1XddvnMTgorDHoULNvH1qZVPsf/R/ZLvwKwjsyRj7IIo2D7zWqWWD7Z9gIjI53s+J9InkhpBNdyiYADJAyO7yDp+23hJwZX3WrznMSXpTsP+YDDCO4K4ulHsWHUfuoilPNtkkKQCslW0YjUFgqhAoUnntY2vcTD1oMTr83rYmryVerPqeVy36twqZhycIXkg50rnhZ2J8Y3BS+UlqUIMSASkkjiRcYKH/n4IQBIhXzmgMt93/Z6Ov3X0OM5b5c3w2sP5Zt83+Gv86VO5D4/UfIRdl3bRPKr5LS9GUFS8aVstjLbVypaC/NEDdfHSSOft0VxeLOvsZARRFO/Z05adnU1AQABZWVn4+5d84XCnMua3/fy2+8JV+03qX4fBTctftZ+MjMzdh6foDVEUOZN1hnJ+5dAqtWQZstAqtehUOlLyUxzpW6FeoSTlJRHuHU5ybjKRPpGOqJPEnEROZpykVkgtInwiSC1IZUvSFtqVa8eJjBOk69NpEd2C1PxUzKKZCO8I8kx5jlTMfFM+FtFCakEqFfwrcCnvEsG6YC7mXuRS3iUsooXEnETuq3Qfq8+vxlft6ygVm2fKw2w1U2AuIMuQRYhXCAHaAE5lnGJb8jaHb1R8SDybL2527LNWSC3bhaRoCxvXKrWoFWpWnV9FnimPCv4VqBVSC4towUftQ0p+CmsT11IntA7NoppxNP0o47eNp1pwNR6s9iDrEtc58v591b4E6YKYfWQ257LPUTukNlWCqlApoBJrE9diMBswWA2czDgpuZGN8okipSDF8bRR5ubSrlw7DqUeQkREKShJKbA9aVQJKrfKMnZGNRrFviv7uJJ/Bb1Fj1qhxk/jx+nM0xJT1LLSMrolW5K2eFzXMLwhFfwrkGPMYc+VPagVarxUXqQUpKBWqPFWeRPhE0GgNpBw73AaRzZmzfk1IEJKQQrd4rrRIroF25O3k6HPoEpgFbxUXlhEC/Eh8YR6haI36zmdeZqV51ZSO7Q25fzKcTbrLBdzbYL31qStNI1sSqRPJIHaQNv3X6EhTZ/Gi2telDyV/7jtx3y19yvO55yXHINKoZKk914L9u+yRqGxpc16hdAquhUXci/w2e7PsFgtRHhHOISBOqF1CNAGMPPQTOYdm0eN4Br0r9qf9uXa89TKp9wE7MdrP84Ph34A4JXGrxR7ExesC+b1pq9TzrccgdpARwSf/W+s643hI/GP8Fjtx/jl6C8SkXd0o9EE6gI5lXGKn484C0A0j2rOtuRtjuWJbSYydfdUSXRIs6hmWEWrI1W5blhdDqUeciu5PbXDVCK9IzmRcUJSwMKVOP84Xmv6Gt/u/9YhTHza7lO6xnXlTOYZfjvxGwuOL2B86/F0rtAZo8VIvjkfL5UXV/KvEKgNdIhQgOPvl1W0SiITRVHEaDWiUWgkv0Pnss9hFa2O7RT9nXp57cuOtBk7g6oPcqTtCIJAw9kNJeufqPMEw2oOY/qB6VzMvciWpC0YLDZPm1cav8Kys8s4nHYYsH2nlYKSTRc3OSI2elbsyTvN37H9JhqzuJR3iX8T/mVozaFuHjhpBWkE6YJKFDDPZJ5h6LKhZBuzi+1j56uOX9G2XNsSI3qyjdn0W9LP8TfLToxvDL0q9eKFBjbvxzo/SyMxgnXBDKw+kKaRTXl65dMEagPdtlGU8a3H8/2B7yXflUHVB/FWs7eoO6uupG/TyKb80M32/TFZTexI3sE/Z/8hKTeJ8a3HO35/wfbb/feZvzmffZ5KgZXoX7W/276topUsQxYB2gAUgsKjUGy/Pb2Qc4FAXaCbEXRRjqYdZeBfAwGbaHfqfDTvLLGZYB/5oAOdf+tMjsn5wKfg4iBUvsdRB+wrcbuixQtBWVBin9tJuHc45f3KO6Kqv+vyHaPWjfIoGE7vMp2W0S3JMeaQqc9k3vF5xAfH0yC8ARdzL9I0sqnDa9UiWm5bmnvc67ZIvK41I/juUXdfz5LGFOXEhz3cRKN3lhxi9jZnxbyESb34eu0pJv97vOhwAFpVCWHOE809rrtbuBmahywiySKSjIyMjMxNwPXC2J6Wab+BsIpWLFYLWcYsdl3eRYfYDmgUGi7lXSLfnE9yXjICAnXC6rA9eTtns85isBjQKrU0CG+A0WLEZDWRlJtEvfB6JGYnkmPKwWgx0jiiMR/v/NhxY185oDKp+lTAVmHRzmtNXiPMO4xX1r+CSlDhq/F1u7F29ZCRkSkr9mjSltEtOZlxUmK8f7v4p/8//HToJxacWHC7p1ImNAqNJJLqVtG2XFtHZKWrr4paoSZIF+RWhbN9ufboLXqJYHY7UClUZRLup3eZToguhK1JW/l096cAVAqoRKWASuy6vAuLaOHhGg87ChL4afz4/uD3ZBmyqOBfgeZRzR1pZiG6EEY1HuWxUEfn8jZvy3R9Or0q9XK01w2ryzf7vvGYrm0nxjeGSJ9Idl+2lT8fEj+EOUfnlPoYrxWVoOKpuk9xJP0Imy9uxmQ1SdbXDqnteIBSFLvh8/GM4xxIOUClgEoOcdpetMTOozUfJdeUS5hXGLOPzCbfnO9YVzWoKrG+sey9she9RU+D8AbkmnIlkVtgE1VWPLCCudsTeWepTVBMmNSLpNwk1iau5e8zf9MiugWf/loJQZ2Ob5WP3eb8TvN3HMblxoxmaIKkEd/mvEqIpkDUgXt4sNqDKASF472vFlSNhKwEdCodHWI7MKbJGNQKNUaLkb5L+0pSyewE64LpW6Uvqfmp/HnmT8k6L5UXn7T7BIWgoHVMa46mHeVi7kXqhtVl+dnldK/YnZT8FH46/BN9KvehTbk2jodtQbogvj/wPT0r9aRXpV63zPj9erELQt1qRTB96PWJSKcn9ERZpALbG4sPMG9HomM5YVIv9pzPoP83nh/4tKkayuzH3Q2+7yZkEakYvvnmGyZPnkxycjK1atVi6tSptGnT5qrjZBFJRkZGRuZeQxRtHhAxfjEen7Kn69MdaUp2TFYTi08sJsYvhmaRzVAr1VhFK9uTt+Ol8kJEJDEnkQZhDRypNkarEZPFxKnMU5zKPIVKoaJrha6oFCr2p+ynTmgdNEoNuaZc/DX+XMy9SLRPtNuT+kOph4jxjSFQG0imIZPTmafZcGED2cZsBEGgWWQzlp5eypG0I1QPqo6/1h+z1czq86sd2wjSBqFRaiRRH5UDKtO5QmemH5juaIvwjnD0GVx9MPtT9pOYk+h4qvtI/CM8WfdJZh2exaX8S4R7hRPiFcLQmkM5mXGSnw7/RIA2AL3ZFs3krfYmMSeRIG0QOaYcErIS6BrXlSaRTZh3bB77r+zHaDWSoc9wuzG7Wdif/F8NtULNa01eY1/KPklRgVcav8KD1R7k2/3fsvLcSqoGVUVv1tOnch8y9BmkFKTQOKIxLWNaohJUkvdz35V96C16/DR+HEo5xLmcc5KUsq4VumKwGBwpTjcSH7UPQ2sO5bn6z5FrzGX6genUCqlF94rd2XxxM2M2jPGYmlqUltEtScxJJDEnUdJezrccF3Kvfj32ZJ0nWXp6qUN86RDbgWpB1Zh+YDoxvjGkFaThq/EltSDVMaZZZDPGthzL1D1TOZZ+jHPZ5yTbLOpzUpTyfuUxWAwePXFuJ8/Vf472se3RKDS8tPYlj4J1n8p9iPCOYNnZZaU6v7caH7UPS/ouIdInksk7J7P09FK+6vgV9cPrk6HPYMAfA7hScOXqG3LhufrP0aNiD/Ze2cs7m9/x2Een1PFHvz+47/f7rltcbBbZjLNZZ93mWVL05p2ISlDxZacvaR3TmllbE3jXRUQqil10CCm3Bm3wVobWHEq72HYk5SbRqXwn9qfs55E5s8m93A6V32H+fKYfFfwrMPfYXCb8psRqDOGB5ho+6dsNs9XMsoRleKu8PRbAsWOP0tp1aRfP1HuG1edX07lCZ0eKpclq4nTmaWoE1yizJcN/Cft7071WJNOGNirTmKKcndjT7Zpi6qoTTF3lFDztn48tp1N5+Ht3i4iyiFl3KrKI5IFff/2VoUOH8s0339CqVSumT5/OjBkzOHLkCOXLlyyayCKSjIyMjIyMzJ2AKIqI2KrouF70iqJIgbkAq2jFR+3j8LHJMeaQobeVFU8tSCXMO4x8Uz6X8i6hUWr4+8zfVAysSMvoliTlJnEu+xx1Q+sS5RvlqEQINk8vu8fbiYwTDsFBp9JJnlybrWaUgvKWGex62p/BYsBitZCmT2PnpZ1EeEdQM6QmQbogdl7ayYqEFWiVWkbUHuEozFAxoCKZhkxJalZJ+8wz5eGn8WPTxU0cSTtCakEqgdpArKKVAG0AA6oNwEftw57Le9h5aSc9K/ZERKS8f3nyTHksPrmYaJ9o/DR+RPlGEesXi8lqcvgJCoJApj6T7Ze20z62vSNlxB5paEcURTYnbeZExgkGVx/s8AsURZH9KfuJ9o0mSBtk8yp0MenONmbjr/HncNphDqUcok+VPnipvMgx5rD01FIEQXCkSjaJaMLRdFtkw5X8KxxMPUjbcm25kn/FYTheMaAiSblJqBQq+lXpR6RPJAdSDpCSn4K/1p8wrzC81d7su7KPecfm0SSyCSariRBdCEPih7AvZR/rE9eTZ8ojKS+JI2lHiA+OZ2D1gW4+O9nGbDZc2MBHOz4i05DJiw1eZGjNoY4KZRn6DNacX0OaPg2loCQxJ5ERtUc4qsgGa4M5nnGcyoGV+e34b2Qbs2kS2YQK/hXwUnnxx+k/WJu4FqWg5LHaj6FVavnh0A/Sku/YIomqBFYhxi/G4WsFtugmP7WfI+W1SWQTxjQZc9UID5PVxHub3+PPM38S4R2Bj9oHH7UPR9OPOqKl7FE5IboQ5vaaS7RvNFbRys+Hf8ZL5cX47c7qWfZUxdYxrVmXuI79KfvxUfuw9NRS+lS2vd8rz61kZKORqAQVeoue8n7l+fvs3/Sr0o88Yx6rz6+mnF85mkY1xU/tx7H0YwxfPpx8cz7BumCmdZ5G9eDqHE49zGsbX5OIpn5qP/pV7UeXCl2YfWQ2oV6hLDi+wBFV9FCNh3il8St8vPNjlicsJ8uQRZx/HB1iO5BlzOJizkXur3o/4d7hzDk6h9XnVxMfHE98SDwrE1birfamYURDDGYDg2oM4mjaUbYmbaXAXMDl/MuoFCqJP1D7cu3pXbk3ncp3cggvP29J4L0/ri4ixQR6sfl1zx5Btd5dTp7R4rYN+9gRreJ4r3ctj2Nlrh37+e1RO5JvH7k2EalpxWDiI/0Y17e2W9/L2XqaTbA9ZOpSM4LvC1PmUnMNNP7QlmL761PNGfSdLZry/gYxTBlU/5qO5U5BFpE80KxZMxo2bMi3337raIuPj6dfv35MnDixxLGyiCQjIyMjIyMjIyNz72L3a0orSMNL5fX/9u49qOo6/+P463A7IgIKCAcEb3hZDSR/0gW1BbxmeRlLxwpZTWtHLfOytlbbqmtTtu7ortWuqTX8bHT0t1u55a+8UCNmgkiYu6ZlprlYq2mGgqiA8Pn94fr9eQA5gIebPB8zZ4bz+XzO97w/5/iR4TWf7/frdIOP+lRxt0lpealKy0qrfP9yU64zF8843bmroZSVl+nilYsur0vUlHbP/Pfub7Vo89W79NY1ROq9YKsuVhMiTe7fWYtGEyK527XP975Yh/6SUrcQKfu5wQoLuPGNfk4XXlb2sZ+U/LNQtbFfDeHPXypV3O+u3sV3y6x7NGLF1bsuPnJXR700tuZ3hGuK6iPzaNZ3ZyspKVFubq6eecb5Dk/Dhg1TZmbl8xqLi4tVXFxsPS8ocH0hPAAAAAC3pmu73YJ9gxv0fSsGLt4e3je8W56HzaNRAiTpap2uAqRr45qKhtghwa3f69fN7Hp19dJQ/1YaFRfh1Ga/7gLc12+xae3ddP5dNyU1v2dqE/Tjjz+qrKxMYWHO/6mGhYXp1KlTlcYvWbJEgYGB1iMqKqqhSgUAAAAANBHVhQ03Oldn1uDu6tDWV9OTouunKEiSbiaj86hDAOXt+f+xSPl1X35rH0KkqjTrEOmaqm5tXVV6+eyzz+r8+fPW48SJE5XGAAAAAACaJy/Pm/8T19xgP9OcoT306fxkhfrf+HQp3Lyb2YnkWYfXXn8XN/9W/3+ylq9Psz5xq940608lJCREnp6elXYdnT59utLuJEmy2+2y2+2V2lsCtlwCAAAAuNU9+F8d9D85eUrs0b7acXXZiXT1dfxhVd8aeieSJC0bH6f8iyXqFOynUH+7ThcWa2jv0Juo5NbVrEMkHx8f9evXT+np6Ro7dqzVnp6erjFjxjRiZQAAAACAhtbax0v/O/Mel+Ns1UQVzfrOU7eAm8npbHXciPZgv0jr5x3zkvRTUYmighrmQvvNTbMOkSRp7ty5Sk1NVXx8vBISErR69Wrl5eVp2rRpjV0aAAAAAKAJqjaoIEVqVHXdTXSzr73Gz+4lP3uzj0rqTbP/ZCZMmKCzZ89q8eLFOnnypGJiYvThhx+qU6dOjV0aAAAAAACohZs7nc1tZeAGmn2IJEkzZszQjBkzGrsMAAAAAEAzUP1GJLYiNaqbCILcsRMJ1bsl7s4GAAAAAEBNVXeB7HIypEZV3fWqXL6WDKneESIBAAAAAFoUsoam62aCIHYi1T9CJAAAAAAA/sMYtiI1ppu7JhIhUn0jRAIAAAAAtCzVZA1ESI2rNjmQn4+n03MurF3/CJEAAAAAAC1KtRfWJkVqVAnRwTUem/XcYKfn1V3rCu5xS9ydDQAAAACAmiJsaHp2/TpZ//zuvEbEOGr8moBW3vVYEapCiAQAAAAAaFGIkJqeqKDWigpq3dhlwAVOZwMAAAAAAIBLhEgAAAAAgBaFs9mAuiFEAgAAAAC0KDZOaAPqhBAJAAAAANCisBMJqBtCJAAAAAAAALhEiAQAAAAAaFFsbEUC6oQQCQAAAAAAAC4RIgEAAAAAWgRHQCtJ0tDeYY1cCdA8eTV2AQAAAAAANIT3Zw5Q1tGzGhETfsMxQX4++qmopAGrgjv4eLJHpiHwKQMAAAAAWoRQ/1Yac3sH+Xjd+E/hdVPvUkLXYL07o38DVoabZfcm3mgI7EQCAAAAAOA/ekcEaMMv727sMlBLdi/Pxi6hRSCqAwAAAAAAzVordiI1CD5lAAAAAADQrPl6sxOpIRAiAQAAAACAZi0qqHVjl9AitOhrIhljJEkFBQWNXEndFV+8oPLiiy7HFRUWNut5AgAAAABQ0bW/h3uHePE3bwXXPo9r2Yc72Iw7j9bMfPfdd4qKimrsMgAAAAAAAOrFiRMnFBkZ6ZZjtegQqby8XP/+97/l7+8vm83W2OUADa6goEBRUVE6ceKEAgICGrsc4JbHmgMaFmsOaFisOaBhuVpzxhgVFhYqIiJCHh7uuZpRiz6dzcPDw21pHNCcBQQE8IseaECsOaBhseaAhsWaAxpWdWsuMDDQre/FhbUBAAAAAADgEiESAAAAAAAAXCJEAlowu92uhQsXym63N3YpQIvAmgMaFmsOaFisOaBhNcaaa9EX1gYAAAAAAEDNsBMJAAAAAAAALhEiAQAAAAAAwCVCJAAAAAAAALhEiAQAAAAAAACXCJGAZmzlypXq06ePAgICFBAQoISEBG3ZssXqN8Zo0aJFioiIkK+vr5KSknTw4EGnYxQXF2vmzJkKCQmRn5+fRo8ere+++85pTH5+vlJTUxUYGKjAwEClpqbq3LlzDTFFoElbsmSJbDabZs+ebbWx7gD3WbRokWw2m9PD4XBY/aw3wP2+//57TZw4UcHBwWrdurVuv/125ebmWv2sO8C9OnfuXOl3nc1m0xNPPCGp6a05QiSgGYuMjNTLL7+szz77TJ999pkGDRqkMWPGWP+pLF26VMuXL9drr72mnJwcORwODR06VIWFhdYxZs+erU2bNmnjxo369NNPdeHCBY0cOVJlZWXWmEceeUT79+/X1q1btXXrVu3fv1+pqakNPl+gKcnJydHq1avVp08fp3bWHeBet912m06ePGk9Dhw4YPWx3gD3ys/P14ABA+Tt7a0tW7bo0KFDWrZsmdq2bWuNYd0B7pWTk+P0ey49PV2SNH78eElNcM0ZALeUdu3amTfeeMOUl5cbh8NhXn75Zavv8uXLJjAw0Lz++uvGGGPOnTtnvL29zcaNG60x33//vfHw8DBbt241xhhz6NAhI8ns2bPHGpOVlWUkma+++qqBZgU0LYWFhaZ79+4mPT3dJCYmmlmzZhljDOsOcLOFCxeauLi4KvtYb4D7zZ8/3wwcOPCG/aw7oP7NmjXLREdHm/Ly8ia55tiJBNwiysrKtHHjRhUVFSkhIUHffvutTp06pWHDhllj7Ha7EhMTlZmZKUnKzc1VaWmp05iIiAjFxMRYY7KyshQYGKi77rrLGnP33XcrMDDQGgO0NE888YTuv/9+DRkyxKmddQe435EjRxQREaEuXbrooYce0rFjxySx3oD68P777ys+Pl7jx49XaGio+vbtqzVr1lj9rDugfpWUlGjdunWaMmWKbDZbk1xzhEhAM3fgwAG1adNGdrtd06ZN06ZNm9S7d2+dOnVKkhQWFuY0PiwszOo7deqUfHx81K5du2rHhIaGVnrf0NBQawzQkmzcuFH79u3TkiVLKvWx7gD3uuuuu/TWW29p27ZtWrNmjU6dOqX+/fvr7NmzrDegHhw7dkwrV65U9+7dtW3bNk2bNk1PPfWU3nrrLUn8ngPq29///nedO3dOkydPltQ015xXrUYDaHJ69uyp/fv369y5c3rnnXc0adIk7dy50+q32WxO440xldoqqjimqvE1OQ5wqzlx4oRmzZql7du3q1WrVjccx7oD3GPEiBHWz7GxsUpISFB0dLTWrl2ru+++WxLrDXCn8vJyxcfH66WXXpIk9e3bVwcPHtTKlSv1i1/8whrHugPqx5tvvqkRI0YoIiLCqb0prTl2IgHNnI+Pj7p166b4+HgtWbJEcXFxWrFihXX3morJ8unTp60k2+FwqKSkRPn5+dWO+eGHHyq975kzZyol4sCtLjc3V6dPn1a/fv3k5eUlLy8v7dy5U6+88oq8vLysNcG6A+qHn5+fYmNjdeTIEX7PAfUgPDxcvXv3dmrr1auX8vLyJIl1B9Sjf/3rX/roo4/02GOPWW1Ncc0RIgG3GGOMiouL1aVLFzkcDuvq/tLVc2x37typ/v37S5L69esnb29vpzEnT57UF198YY1JSEjQ+fPntXfvXmtMdna2zp8/b40BWorBgwfrwIED2r9/v/WIj49XSkqK9u/fr65du7LugHpUXFysL7/8UuHh4fyeA+rBgAEDdPjwYae2r7/+Wp06dZIk1h1Qj9LS0hQaGqr777/famuSa65Wl+EG0KQ8++yz5pNPPjHffvut+ec//2mee+454+HhYbZv326MMebll182gYGB5t133zUHDhwwDz/8sAkPDzcFBQXWMaZNm2YiIyPNRx99ZPbt22cGDRpk4uLizJUrV6wx9957r+nTp4/JysoyWVlZJjY21owcObLB5ws0Rdffnc0Y1h3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      "text/plain": [
       "<Figure size 1400x400 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.figure(figsize=(14,4))\n",
    "wave = np.power(10, spectra['LOGLAM'])/(1+spAll['Z'][0])\n",
    "mask = (spectra['AND_MASK'] == 0)\n",
    "plt.plot(wave[mask], spectra['FLUX'][mask], label ='Flux')\n",
    "plt.plot(wave[mask], spectra['MODEL'][mask], label= 'Model')\n",
    "error = np.full_like(spectra['IVAR'].data, np.nan)\n",
    "error[spectra['IVAR'] > 0]  = 1.0/np.sqrt(spectra['IVAR'][spectra['IVAR'] > 0])\n",
    "plt.plot(wave[mask], error[mask], label='Error')\n",
    "plt.ylim(np.min(spectra['FLUX'][mask][np.where(wave[mask]>3800)[0]]),\n",
    "         1.1*np.max(spectra['FLUX'][mask][np.where(wave[mask]>3800)[0]]))\n",
    "plt.ylabel(r'$f_\\lambda~(10^{-17}~ergs/s/cm^2/\\mathrm{\\AA})$')\n",
    "plt.xlabel(r'Rest Frame Wavelength $(\\mathrm{\\AA})$')\n",
    "plt.legend()\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "e564403d",
   "metadata": {},
   "source": [
    "### Plotting individual Exposures that are included in the coadded spectra\n",
    "If you want to plot (or use) the individual extensions that are included in the coadd, you should retreave the specFull versions of the files.\n",
    "\n",
    "\n",
    "If running on SciServer, comment out the `access` lines in this cell and move to the \"access.full\" commands to load the data."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "id": "e8ab7830",
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "Progress:   0%|                                                | 0/1 [00:00<?, ?files/s, n_files=1, n_streams=1]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "SDSS_ACCESS> Done!\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "\n"
     ]
    }
   ],
   "source": [
    "catalogid = 27021597842439106\n",
    "\n",
    "# if you want all of the visits you can do\n",
    "#mjd   = '*'\n",
    "#fieldid = '*'\n",
    "\n",
    "# otherwise you can use the field and MJDs as selected above to get a select visit\n",
    "mjd = 60095\n",
    "fieldid = 101202\n",
    "\n",
    "access.remote()\n",
    "# Daily Spectra\n",
    "access.add('specFull', run2d=run2d, fieldid = fieldid, mjd = mjd, catalogid=catalogid)\n",
    "# Field Epoch Spectra\n",
    "#access.add('specFull_epoch', run2d=run2d, fieldid = fieldid, mjd = mjd, catalogid=catalogid)\n",
    "# Allepoch Spectra\n",
    "#access.add('specFull_coadd', run2d=run2d, coadd = 'allepoch', mjd = mjd, catalogid=catalogid)\n",
    "access.set_stream()\n",
    "access.commit()\n",
    "access.reset()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "id": "1ed0a530",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "/Users/jdonor/sas/dr19/spectro/boss/redux/v6_1_3/spectra/full/101202/60095/spec-101202-60095-27021597842439106.fits\n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "True"
      ]
     },
     "execution_count": 14,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "\n",
    "specFile = access.full('specFull', run2d=run2d,  fieldid=fieldid, mjd = mjd, catalogid=catalogid)\n",
    "#specFile = access.full('specLite_epoch', run2d=run2d, fieldid=fieldid, mjd = mjd, catalogid=catalogid)\n",
    "#specFile = access.full('specLite_coadd', run2d=run2d, coadd='allepoch', mjd = mjd, catalogid=catalogid)\n",
    "print(specFile)\n",
    "access.exists('',full=specFile)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "id": "8d2dd78f",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Filename: /Users/jdonor/sas/dr19/spectro/boss/redux/v6_1_3/spectra/full/101202/60095/spec-101202-60095-27021597842439106.fits\n",
      "No.    Name      Ver    Type      Cards   Dimensions   Format\n",
      "  0  PRIMARY       1 PrimaryHDU     259   ()      \n",
      "  1  COADD         1 BinTableHDU     34   4648R x 9C   [E, E, E, J, J, E, E, E, E]   \n",
      "  2  SPALL         1 BinTableHDU    321   1R x 144C   [K, K, 3A, D, 11A, 21A, 6A, 6A, 13A, 11A, I, E, K, 7A, 41A, 10A, 10A, 10A, 28A, 19A, 32B, 16A, K, K, K, K, 28A, 5E, 5E, 25A, 5E, 5E, 5E, 5E, E, K, E, E, K, 4E, 3E, 2E, E, 3A, D, D, D, D, D, D, E, E, E, E, 21A, 19A, 7A, 7A, K, 17A, 17A, E, E, K, K, K, 68A, 3A, D, E, 9A, 9A, 9A, E, E, E, E, E, E, 5E, E, E, E, E, E, 9A, 9A, 3A, 3A, 3A, 3A, K, K, K, K, K, K, 5E, 5E, 5E, 5E, 5E, E, E, E, 6A, 19A, E, E, K, E, K, E, 24A, 10K, K, 10E, E, E, E, E, E, E, K, E, 10E, 10E, 10E, E, E, K, K, 6A, 18A, E, E, E, E, E, E, E, E, E, E]   \n",
      "  3  ZALL          1 BinTableHDU    135   134R x 56C   [J, J, J, J, K, K, 7A, 6A, 6A, 16A, D, D, D, D, 6A, 19A, E, E, E, J, E, 24A, 10J, J, 10E, 100E, E, E, E, E, E, E, J, E, E, E, J, 5E, E, E, 10E, 10E, 10E, 5E, 5E, 5E, 5E, 5E, J, J, E, E, E, E, E, E]   \n",
      "  4  ZLINE         1 BinTableHDU     53   32R x 21C   [K, K, K, K, K, 13A, D, E, E, E, E, E, E, E, E, E, E, J, J, E, E]   \n",
      "  5  MJD_EXP_60095-00    1 BinTableHDU    275   4648R x 8C   [E, E, E, J, J, E, E, E]   \n",
      "  6  MJD_EXP_60095-01    1 BinTableHDU    271   4648R x 8C   [E, E, E, J, J, E, E, E]   \n"
     ]
    }
   ],
   "source": [
    "fits.info(specFile)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "id": "6831be50",
   "metadata": {},
   "outputs": [],
   "source": [
    "spectra = fits.getdata(specFile, 'COADD')\n",
    "spAll = fits.getdata(specFile,'SPALL')\n",
    "exposures = {}\n",
    "for exp in range(5,5+spAll['NEXP'][0]):\n",
    "    name = fits.getval(specFile,'extname',exp)\n",
    "    exposures[name] = fits.getdata(specFile,exp)\n",
    "    "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "id": "776c01b0",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1400x400 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.figure(figsize=(14,4))\n",
    "wave = np.power(10, spectra['LOGLAM'])\n",
    "mask = (spectra['AND_MASK'] == 0)\n",
    "plt.plot(wave[mask], spectra['FLUX'][mask], label ='Flux', zorder = spAll['NEXP']+1)\n",
    "plt.plot(wave[mask], spectra['MODEL'][mask], label= 'Model', zorder = spAll['NEXP']+2)\n",
    "error = np.full_like(spectra['IVAR'].data, np.nan)\n",
    "error[spectra['IVAR'] > 0]  = 1.0/np.sqrt(spectra['IVAR'][spectra['IVAR'] > 0])\n",
    "plt.plot(wave[mask], error[mask], label='Error', zorder = spAll['NEXP']+3)\n",
    "\n",
    "plt.ylim(np.min(spectra['FLUX'][mask][np.where(wave[mask]>3800)[0]]),\n",
    "         1.1*np.max(spectra['FLUX'][mask][np.where(wave[mask]>3800)[0]]))\n",
    "\n",
    "\n",
    "for i, (name, exp) in enumerate(exposures.items()):\n",
    "    wave = np.power(10, exp['LOGLAM'])\n",
    "    mask = (exp['AND_MASK'] == 0)\n",
    "    plt.plot(wave[mask],exp['FLUX'][mask], label=name,zorder=i)\n",
    "\n",
    "plt.ylabel(r'$f_\\lambda~(10^{-17}~ergs/s/cm^2/\\mathrm{\\AA})$')\n",
    "plt.xlabel(r'Wavelength $(\\mathrm{\\AA})$')\n",
    "\n",
    "plt.legend()\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "c1dd1827",
   "metadata": {},
   "source": [
    "## About this notebook\n",
    "This notebook was created to illustrate how to find and use the various Coadds of the SDSS-V BOSS spectra\n",
    "\n",
    "**Authors**: Sean Morrison\n",
    "\n",
    "**Last Update**: 2025 April 16\n",
    "\n",
    "If you use astropy for published research, please cite the authors. Follow this link for more information about citing astropy: [Citing `astropy`](https://www.astropy.org/acknowledging.html) \n",
    "\n",
    "And of course please [cite](https://sdss.org/collaboration/citing-sdss/) SDSS when you use our data."
   ]
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3 (ipykernel)",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
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