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+{
+ "cells": [
+  {
+   "attachments": {},
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "# Advanced usage of MOCs to explore complex regions of interest\n",
+    "\n",
+    "Stefania Amodea¹, Matthieu Baumann¹, Thomas Boch¹, Caroline Bot¹, Katarina A. Lutz¹.\n",
+    "\n",
+    "1. Université de Strasbourg, CNRS, Observatoire Astronomique de Strasbourg, UMR 7550, F-67000, Strasbourg, France\n",
+    "\n",
+    "Thomas Boch and Caroline Bot wrote the original version of this tutorial, available on the [EURO-VO tutorials page](http://www.euro-vo.org/?q=science/scientific-tutorials). It was presented at the workshop \"[Detecting the unexpected, Discovery in the Era of Astronomically Big Data](https://www.lsstcorporation.org/node/107)\". The version here is an adaptation to jupyter notebooks by the Strasbourg astronomical Data Center ([CDS](https://cdsweb.u-strasbg.fr/)) team.\n",
+    "\n",
+    "*** \n",
+    "\n",
+    "## Introduction\n",
+    "\n",
+    "I have a set of images. I would like to select regions in my observations that are above a given threshold in another survey (e.g. at low extinction), retrieve objects from very large catalogs (e.g. Gaia + 2MASS) in these non-trivial shapes and not-necessarily-connected regions, and combine them to visualize some quantities (e.g. color color diagram)."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 1,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# Standard Library\n",
+    "from pathlib import Path\n",
+    "\n",
+    "# Astronomy tools\n",
+    "import astropy.units as u\n",
+    "from astropy.coordinates import Angle, SkyCoord, match_coordinates_sky\n",
+    "from astropy.io import fits\n",
+    "\n",
+    "# Access astronomical databases\n",
+    "import pyvo\n",
+    "from astroquery.vizier import Vizier\n",
+    "\n",
+    "# Moc and HEALPix tools\n",
+    "import cdshealpix\n",
+    "import mocpy\n",
+    "\n",
+    "# For plots\n",
+    "import matplotlib.pyplot as plt\n",
+    "\n",
+    "# Data handling\n",
+    "import numpy as np"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "## Step 1: Finding the images\n",
+    "\n",
+    "We want to find all Short-Red images in the Macquarie/AAO/Strasbourg Hα Planetary Galactic catalog ([MASH](https://vizier.cfa.harvard.edu/vizier/MASH/index.htx)) using the VizieR associated data service.\n",
+    "\n",
+    "[![Vizier](https://custom-icon-badges.demolab.com/badge/Vizier-gray.svg?logo=vizier&logoColor=orange&logoWidth=20)](https://vizier.cds.unistra.fr/viz-bin/VizieR \"https://vizier.cds.unistra.fr/viz-bin/VizieR\")\n",
+    "\n",
+    "The [VizieR](https://vizier.cds.unistra.fr/) service at CDS inventories astronomical catalogs published in the literature. Some of these catalogs contain data associated with publications and the tables therein. This data can be browsed and explored through the VizieR-associated data service, linked to the traditional VizieR table service. Here we look for images associated with the MASH catalog of planetary nebulae ([Parker *et. al.* 2006-2008](https://ui.adsabs.harvard.edu/abs/2006yCat.5127....0P/abstract)). The MASH fits files are cut-outs extracted from a larger Hα and Short Red survey to constitute a set of regions of interest around planetary nebulae. \n",
+    "\n",
+    "To find VizieR-associated data, we use the Table Access Protocol (TAP) with the VizieR endpoint. Through the VizieR TAP endpoint, we can search for tables, their content, and information on associated data. \n",
+    "\n",
+    "First, we search for the MASH catalog:"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 2,
+   "metadata": {
+    "scrolled": true,
+    "tags": [
+     "output_scroll"
+    ]
+   },
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<div><i>Table length=5</i>\n",
+       "<table id=\"table139770989274368\" class=\"table-striped table-bordered table-condensed\">\n",
+       "<thead><tr><th>schema_name</th><th>table_name</th><th>table_type</th><th>description</th><th>utype</th><th>nrows</th></tr></thead>\n",
+       "<thead><tr><th>object</th><th>object</th><th>object</th><th>object</th><th>object</th><th>object</th></tr></thead>\n",
+       "<tr><td>J_MNRAS</td><td>J/MNRAS/412/223/table4</td><td>table</td><td>The nine MASH PNe detected and possibly detected in the PMN survey ( Bojicic I.S., Parker Q.A., Filipovic M.D., Frew D.J.)</td><td></td><td>9</td></tr>\n",
+       "<tr><td>J_MNRAS</td><td>J/MNRAS/412/223/table1</td><td>table</td><td>MASH PNe detected in the NVSS ( Bojicic I.S., Parker Q.A., Filipovic M.D., Frew D.J.)</td><td></td><td>201</td></tr>\n",
+       "<tr><td>V_combined</td><td>V/127A/mash2</td><td>table</td><td>The MASH-II Supplement (from paper II) ( Parker Q.A., Acker A., Frew D.J., Hartley M., Peyaud A.E.J., Phillipps S., Russeil D., Beaulieu S.F., Cohen M., Koppen J., Marcout J., Miszalski B., Morgan D.H., Morris R.A.H., Ochsenbein F., Pierce M.J.,)</td><td></td><td>335</td></tr>\n",
+       "<tr><td>V_combined</td><td>V/127A/mash1</td><td>table</td><td>The MASH Catalog of Planetary Nebulae (paper I) ( Parker Q.A., Acker A., Frew D.J., Hartley M., Peyaud A.E.J., Phillipps S., Russeil D., Beaulieu S.F., Cohen M., Koppen J., Marcout J., Miszalski B., Morgan D.H., Morris R.A.H., Ochsenbein F., Pierce M.J.,)</td><td></td><td>903</td></tr>\n",
+       "<tr><td>J_MNRAS</td><td>J/MNRAS/412/223/mpgs2</td><td>table</td><td>MASH PNe detected in the MPGS-2 (Cat. VIII/82) ( Bojicic I.S., Parker Q.A., Filipovic M.D., Frew D.J.)</td><td></td><td>81</td></tr>\n",
+       "</table></div>"
+      ],
+      "text/plain": [
+       "<Table length=5>\n",
+       "schema_name       table_name       table_type ... utype  nrows \n",
+       "   object           object           object   ... object object\n",
+       "----------- ---------------------- ---------- ... ------ ------\n",
+       "    J_MNRAS J/MNRAS/412/223/table4      table ...             9\n",
+       "    J_MNRAS J/MNRAS/412/223/table1      table ...           201\n",
+       " V_combined           V/127A/mash2      table ...           335\n",
+       " V_combined           V/127A/mash1      table ...           903\n",
+       "    J_MNRAS  J/MNRAS/412/223/mpgs2      table ...            81"
+      ]
+     },
+     "execution_count": 2,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "# give the address of the service, you can also directly visit the website\n",
+    "tap_vizier = pyvo.dal.TAPService(\"https://tapvizier.cds.unistra.fr/TAPVizieR/tap\")\n",
+    "\n",
+    "# a query that searches for all tables with the words MASH and Parker in their description\n",
+    "query = \"\"\"\n",
+    "        SELECT  *  FROM tables \n",
+    "        WHERE description LIKE '%MASH%Parker%'\n",
+    "        \"\"\"\n",
+    "\n",
+    "mash_catalogues = tap_vizier.search(query).to_table()\n",
+    "mash_catalogues"
+   ]
+  },
+  {
+   "attachments": {},
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "In this tutorial, we are interested in the tables belonging to the catalogs `V/127A`. This includes tables `V/127A/mash1` and `V/127A/mash2`. To have a look at the content of these tables, we look at their first lines like this:"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 3,
+   "metadata": {
+    "scrolled": true,
+    "tags": [
+     "output_scroll"
+    ]
+   },
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<div><i>Table length=5</i>\n",
+       "<table id=\"table139769990822640\" class=\"table-striped table-bordered table-condensed\">\n",
+       "<thead><tr><th>recno</th><th>n_PNG</th><th>PNG</th><th>Name</th><th>RAJ2000</th><th>DEJ2000</th><th>GLon</th><th>GLat</th><th>MajDiam</th><th>MinDiam</th><th>CS</th><th>Morph</th><th>Tel</th><th>ObsDate</th><th>HaExp</th><th>HaFld</th><th>Comments</th><th>img</th><th>ImageHa</th><th>ImageSr</th><th>AssocData</th></tr></thead>\n",
+       "<thead><tr><th></th><th></th><th></th><th></th><th>deg</th><th>deg</th><th>deg</th><th>deg</th><th>arcsec</th><th>arcsec</th><th></th><th></th><th></th><th>&apos;Y:M:D&apos;</th><th></th><th></th><th></th><th></th><th></th><th></th><th></th></tr></thead>\n",
+       "<thead><tr><th>int32</th><th>str1</th><th>object</th><th>object</th><th>float64</th><th>float64</th><th>float64</th><th>float64</th><th>float64</th><th>float64</th><th>object</th><th>object</th><th>object</th><th>float64</th><th>object</th><th>object</th><th>object</th><th>object</th><th>object</th><th>object</th><th>object</th></tr></thead>\n",
+       "<tr><td>29</td><td>L</td><td>G234.7-02.2</td><td>PHR0724-2021</td><td>111.05458333333331</td><td>-20.36361111111111</td><td>234.7045</td><td>-2.2774</td><td>134.5</td><td>54.0</td><td></td><td>A</td><td>SA</td><td>2452672.0</td><td>HA18201</td><td>HA842</td><td>Large, very faint diffuse arcuate nebula; has [NII]~2xH-alpha, nothing in blue</td><td>1029</td><td>img_ha</td><td>img_sr</td><td>fits</td></tr>\n",
+       "<tr><td>2</td><td>P</td><td>G227.3-12.0</td><td>PHR0633-1808</td><td>98.35374999999999</td><td>-18.13972222222222</td><td>227.3207</td><td>-12.0289</td><td>17.0</td><td>15.0</td><td></td><td>Ea</td><td>SA</td><td>2452672.0</td><td>HA18191</td><td>HA926</td><td>Very faint, partial arcuate nebula also observed M1 060100; [NII]~0.8xH-alpha, strong [SII], only weak H-beta in blue - inconclusive</td><td>1002</td><td>img_ha</td><td>img_sr</td><td>fits</td></tr>\n",
+       "<tr><td>16</td><td>T</td><td>G227.2-03.4</td><td>PHR0705-1419</td><td>106.41041666666665</td><td>-14.318055555555553</td><td>227.2852</td><td>-3.4029</td><td>15.0</td><td>15.0</td><td></td><td>E</td><td>SA</td><td>2452668.0</td><td>HA18244</td><td>HA1017</td><td>Small, circular PN around a faint central star; also observed M1 040100; [NII]~0.7 H-alpha, [OIII]&gt;&gt;H-beta</td><td>1016</td><td>img_ha</td><td>img_sr</td><td>fits</td></tr>\n",
+       "<tr><td>5</td><td>L</td><td>G223.6-06.8</td><td>PHR0646-1235</td><td>101.60583333333332</td><td>-12.598888888888887</td><td>223.6338</td><td>-6.8035</td><td>40.0</td><td>37.0</td><td></td><td>E</td><td>SA</td><td>2453788.0</td><td>HA18194</td><td>HA1016</td><td>Slightly oval very faint PN candidate - has [OIII] and H-alpha</td><td>1005</td><td>img_ha</td><td>img_sr</td><td>fits</td></tr>\n",
+       "<tr><td>10</td><td>P</td><td>G224.3-05.5</td><td>PHR0652-1240</td><td>103.08458333333331</td><td>-12.67611111111111</td><td>224.3504</td><td>-5.5463</td><td>187.0</td><td>180.0</td><td></td><td>I</td><td>SA</td><td>2452670.0</td><td>HA18244</td><td>HA1017</td><td>Faint, extended S-shaped emission nebula, possible evolved PN, also observed M1 080100; has [NII]~0.8Ha, [OIII], strong [SII], [OIII]&gt;H-beta</td><td>1010</td><td>img_ha</td><td>img_sr</td><td>fits</td></tr>\n",
+       "</table></div>"
+      ],
+      "text/plain": [
+       "<Table length=5>\n",
+       "recno n_PNG     PNG         Name     ...  img   ImageHa ImageSr AssocData\n",
+       "                                     ...                                 \n",
+       "int32  str1    object      object    ... object  object  object   object \n",
+       "----- ----- ----------- ------------ ... ------ ------- ------- ---------\n",
+       "   29     L G234.7-02.2 PHR0724-2021 ...   1029  img_ha  img_sr      fits\n",
+       "    2     P G227.3-12.0 PHR0633-1808 ...   1002  img_ha  img_sr      fits\n",
+       "   16     T G227.2-03.4 PHR0705-1419 ...   1016  img_ha  img_sr      fits\n",
+       "    5     L G223.6-06.8 PHR0646-1235 ...   1005  img_ha  img_sr      fits\n",
+       "   10     P G224.3-05.5 PHR0652-1240 ...   1010  img_ha  img_sr      fits"
+      ]
+     },
+     "execution_count": 3,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "query = \"\"\"\n",
+    "        SELECT TOP 5 * FROM \\\"V/127A/mash1\\\" \n",
+    "        \"\"\"\n",
+    "mash1_head = tap_vizier.search(query).to_table()\n",
+    "mash1_head"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "As you can see, the last column of this table is called `AssocData` and contains the entry `fits`. If you look at this table on the VizieR web interface, you can download the associated fits file. Within this notebook, we query the `obscore` database to get the URLs to the fits file. Using the `astropy.io.fits` module, we can open the fits files from their URLs."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 4,
+   "metadata": {
+    "scrolled": true,
+    "tags": [
+     "output_scroll"
+    ]
+   },
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<div><i>Table length=5</i>\n",
+       "<table id=\"table139770989807744\" class=\"table-striped table-bordered table-condensed\">\n",
+       "<thead><tr><th>access_estsize</th><th>access_format</th><th>access_url</th><th>bib_reference</th><th>calib_level</th><th>dataproduct_type</th><th>em_band</th><th>em_max</th><th>em_min</th><th>extension</th><th>facility_name</th><th>has_wcs</th><th>instrument_name</th><th>obs_collection</th><th>obs_id</th><th>obs_publisher_did</th><th>oidsaada</th><th>o_ucd</th><th>pol_states</th><th>s_dec</th><th>s_fov</th><th>s_ra</th><th>s_region</th><th>s_resolution</th><th>target_name</th><th>t_exptime</th><th>t_max</th><th>t_min</th><th>t_resolution</th></tr></thead>\n",
+       "<thead><tr><th>kbyte</th><th></th><th></th><th></th><th></th><th></th><th>spect</th><th></th><th></th><th>meta.code</th><th></th><th>meta.code</th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th>deg</th><th>deg</th><th>deg</th><th></th><th>arcsec</th><th></th><th></th><th></th><th></th><th></th></tr></thead>\n",
+       "<thead><tr><th>int64</th><th>object</th><th>object</th><th>object</th><th>int32</th><th>object</th><th>object</th><th>float64</th><th>float64</th><th>int32</th><th>object</th><th>int32</th><th>object</th><th>object</th><th>object</th><th>object</th><th>object</th><th>object</th><th>object</th><th>float64</th><th>float64</th><th>float64</th><th>object</th><th>float64</th><th>object</th><th>float64</th><th>float64</th><th>float64</th><th>float64</th></tr></thead>\n",
+       "<tr><td>610560</td><td>application/fits</td><td>https://cdsarc.cds.unistra.fr/saadavizier/download?oid=864975549779410945</td><td>2006MNRAS.373...79P</td><td>-1</td><td>image</td><td>Optical</td><td>1e-06</td><td>3e-07</td><td>--</td><td>UKST</td><td>5</td><td>SuperCOSMOS I</td><td>V/127A</td><td>1032_sr.fits</td><td>ivo://CDS.VizieR/V/127A?res=1032_sr.fits</td><td>864975549779410945</td><td>obs.image</td><td>NotSet</td><td>-13.784389854801203</td><td>0.0713021682865721</td><td>111.43275777455307</td><td>Polygon ICRS  111.46664940645094 -13.81781914701963  111.39832407190251 -13.817324215795937  111.3988758446347 -13.750955924906409  111.46718176614709 -13.751450706358609</td><td>0.948991575097523</td><td></td><td>--</td><td>--</td><td>51226.0</td><td>--</td></tr>\n",
+       "<tr><td>740160</td><td>application/fits</td><td>https://cdsarc.cds.unistra.fr/saadavizier/download?oid=864975549779410951</td><td>2006MNRAS.373...79P</td><td>-1</td><td>image</td><td>Optical</td><td>1e-06</td><td>3e-07</td><td>--</td><td>UKST</td><td>5</td><td>SuperCOSMOS I</td><td>V/127A</td><td>1034_ha.fits</td><td>ivo://CDS.VizieR/V/127A?res=1034_ha.fits</td><td>864975549779410951</td><td>obs.image</td><td>NotSet</td><td>-17.12049297622673</td><td>0.07123944496920925</td><td>111.78451610217952</td><td>Polygon ICRS  111.8191479048229 -17.153711083791936  111.74974303867411 -17.15359964722061  111.74989666803143 -17.087268981666405  111.8192767884711 -17.087380370020252</td><td>0.9485038734315203</td><td></td><td>--</td><td>--</td><td>52338.0</td><td>--</td></tr>\n",
+       "<tr><td>596160</td><td>application/fits</td><td>https://cdsarc.cds.unistra.fr/saadavizier/download?oid=864975549779410955</td><td>2006MNRAS.373...79P</td><td>-1</td><td>image</td><td>Optical</td><td>1e-06</td><td>3e-07</td><td>--</td><td>UKST</td><td>5</td><td>SuperCOSMOS I</td><td>V/127A</td><td>1034_sr.fits</td><td>ivo://CDS.VizieR/V/127A?res=1034_sr.fits</td><td>864975549779410955</td><td>obs.image</td><td>NotSet</td><td>-17.120533969278245</td><td>0.07124314880377468</td><td>111.7845314034197</td><td>Polygon ICRS  111.8191637002453 -17.153753988164176  111.74975722819107 -17.153640656320004  111.7499114759699 -17.08730806317958  111.81929320101966 -17.087421346614327</td><td>0.9485285228101485</td><td></td><td>--</td><td>--</td><td>50871.0</td><td>--</td></tr>\n",
+       "<tr><td>731520</td><td>application/fits</td><td>https://cdsarc.cds.unistra.fr/saadavizier/download?oid=864975549779410959</td><td>2006MNRAS.373...79P</td><td>-1</td><td>image</td><td>Optical</td><td>1e-06</td><td>3e-07</td><td>--</td><td>UKST</td><td>5</td><td>SuperCOSMOS I</td><td>V/127A</td><td>1036_ha.fits</td><td>ivo://CDS.VizieR/V/127A?res=1036_ha.fits</td><td>864975549779410959</td><td>obs.image</td><td>NotSet</td><td>-21.862099427980556</td><td>0.07130134708963763</td><td>112.69528726569132</td><td>Polygon ICRS  112.73146814532774 -21.89490077932626  112.65997554014551 -21.895645624610193  112.659123005937 -21.829290184523508  112.73058240266795 -21.828545713789918</td><td>0.9488088411876365</td><td></td><td>--</td><td>--</td><td>51163.0</td><td>--</td></tr>\n",
+       "<tr><td>590400</td><td>application/fits</td><td>https://cdsarc.cds.unistra.fr/saadavizier/download?oid=864975549779410960</td><td>2006MNRAS.373...79P</td><td>-1</td><td>image</td><td>Optical</td><td>1e-06</td><td>3e-07</td><td>--</td><td>UKST</td><td>5</td><td>SuperCOSMOS I</td><td>V/127A</td><td>1005_sr.fits</td><td>ivo://CDS.VizieR/V/127A?res=1005_sr.fits</td><td>864975549779410960</td><td>obs.image</td><td>NotSet</td><td>-12.59878194718445</td><td>0.06695119600443825</td><td>101.605805625331</td><td>Polygon ICRS  101.64022494465036 -12.631531553985315  101.57226287333897 -12.63235954506209  101.57139509987323 -12.56602794013158  101.63933959085792 -12.565200170324758</td><td>0.9485060738987898</td><td></td><td>--</td><td>--</td><td>51156.0</td><td>--</td></tr>\n",
+       "</table></div>"
+      ],
+      "text/plain": [
+       "<Table length=5>\n",
+       "access_estsize  access_format   ...  t_min  t_resolution\n",
+       "    kbyte                       ...                     \n",
+       "    int64           object      ... float64   float64   \n",
+       "-------------- ---------------- ... ------- ------------\n",
+       "        610560 application/fits ... 51226.0           --\n",
+       "        740160 application/fits ... 52338.0           --\n",
+       "        596160 application/fits ... 50871.0           --\n",
+       "        731520 application/fits ... 51163.0           --\n",
+       "        590400 application/fits ... 51156.0           --"
+      ]
+     },
+     "execution_count": 4,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "obs_tap_vizier = pyvo.dal.TAPService(\n",
+    "    \"https://cdsarc.cds.unistra.fr/saadavizier.tap/tap\",\n",
+    ")\n",
+    "query = \"\"\"\n",
+    "        SELECT TOP 5  *  FROM obscore \n",
+    "        WHERE obs_collection='V/127A'   \n",
+    "        \"\"\"\n",
+    "mash_fits = obs_tap_vizier.search(query).to_table()\n",
+    "mash_fits"
+   ]
+  },
+  {
+   "attachments": {},
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "As you can see, the result from this query provides information on the fits files associated with the MASH catalogs. In particular, the column `access_url` provides the location of the data. To get the first image we can do:"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 5,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# download the first image\n",
+    "hdul_list = fits.open(mash_fits[\"access_url\"][0])"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 6,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "<matplotlib.image.AxesImage at 0x7f1ebc663ee0>"
+      ]
+     },
+     "execution_count": 6,
+     "metadata": {},
+     "output_type": "execute_result"
+    },
+    {
+     "data": {
+      "image/png": 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",
+      "text/plain": [
+       "<Figure size 640x480 with 1 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "# plot it in a quick preview\n",
+    "plt.imshow(hdul_list[0].data, cmap=\"gray\", origin=\"lower\")"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "This should be done for every image in the list. However, downloading all the data takes quite some time. For this tutorial, **we prepared a subsample of 335 of these Short Red images that will run promptly** but we encourage you to try accessing the full Short Red sample on your own later. The subsample is available in the Data Folder of this repository."
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "## Step 2: Create a MOC of the MASH images\n",
+    "\n",
+    "The multi-order coverage (MOC) map of a set of images represents their sky coverage. MOCs can describe arbitrary zones in the sky which do not need to be connected. You'll see that the union or intersection of two MOCs requires few time and computational effort. Catalogs can also be filtered by MOCs. \n",
+    "\n",
+    "Here we want to use the fits files just downloaded to create a MOC map corresponding to the coverage of the MASH images.\n",
+    "\n",
+    "### Organising data"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 7,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# Where to find fits images downloaded from the archive above\n",
+    "datadir = Path(\"Data/MASH_Sample/\")\n",
+    "datadir.mkdir(parents=True, exist_ok=True)"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "In most cases, we could ignore the next cell.  However, some possible deprecated keywords in the fits header would hamper the MOC creation and would cause errors in the underlying `astropy.wcs.WCS` module. This is why we rewrite the headers of the fits files so that they only contain the useful keywords needed to define the coordinate frame correctly before using `mocpy`. "
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "### Create the MOC\n",
+    "\n",
+    "Here we can create the MOC of the MASH images with the `MOCPy` module. This can take a few seconds."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 8,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "WARNING: FITSFixedWarning: RADECSYS= 'FK5 ' \n",
+      "the RADECSYS keyword is deprecated, use RADESYSa. [astropy.wcs.wcs]\n"
+     ]
+    }
+   ],
+   "source": [
+    "# Get a list of the fits files and create the MOC\n",
+    "mash_file_list = datadir.glob(\n",
+    "    \"*_sr_modified.fits\",\n",
+    ")  # glob allows to find all paths that end with _sr_modified.fits in datadir\n",
+    "moc_mash = mocpy.MOC.from_fits_images(mash_file_list, max_norder=15)\n",
+    "# this takes a bit of time because a lot of files are opened and processed to extract the moc"
+   ]
+  },
+  {
+   "attachments": {},
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "### Plot the MOC\n",
+    "\n",
+    "We can chose between two of the MOCpy methods to plot the MOC"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 9,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "image/png": 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",
+      "text/plain": [
+       "<Figure size 640x480 with 1 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "# A one-liner for a very fast visualization\n",
+    "moc_mash.display_preview()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 10,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "image/png": 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",
+      "text/plain": [
+       "<Figure size 1000x700 with 1 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "# With a bit more control over the output, the MOC.wcs method\n",
+    "fig = plt.figure(figsize=(10, 7))\n",
+    "wcs = moc_mash.wcs(fig)\n",
+    "ax = fig.add_subplot(projection=wcs)\n",
+    "ax.grid(True)  # noqa: FBT003\n",
+    "moc_mash.fill(ax, wcs, color=\"purple\", alpha=0.5)"
+   ]
+  },
+  {
+   "attachments": {},
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "You can see how the MOC has arbitrary shapes and not all regions are connected.\n",
+    "\n",
+    "And for more control over the plot parameters, there is also the mocpy.WCS method (!)"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "## Step 3: Load an archival extinction map and create the MOC of the low extinction regions\n",
+    "\n",
+    "Different works (e.g. [Schlegel et al. 1998](https://iopscience.iop.org/article/10.1086/305772), [Schlafly  & Finkbeiner 2011](https://ui.adsabs.harvard.edu/abs/2011AAS...21831803S/abstract), [Green et al. 2015](https://iopscience.iop.org/article/10.1088/0004-637X/810/1/25)...) have created extinction maps of the sky that are publicly available. Some of these maps are all-sky maps, while others have higher resolutions, or come from different methods... They can be found in HEALPix format (among others) on the Legacy Archive for Microwave Background Data Analysis ([LAMBDA](https://lambda.gsfc.nasa.gov/)) website or on the Analysis Center for Extended Data ([CADE](http://cade.irap.omp.eu/dokuwiki/doku.php?id=start)) website. \n",
+    "\n",
+    "For this tutorial, we will download the well-known all-sky extinction map from Schlegel *et al.* from the LAMBDA  website and define the low extinction area for which $0 < E(B-V) < 0.5$ as a MOC. It has an [information page](https://lambda.gsfc.nasa.gov/product/foreground/fg_sfd_info.html).\n",
+    "\n",
+    "The map is available here: https://lambda.gsfc.nasa.gov/data/foregrounds/SFD/lambda_sfd_ebv.fits and we save it to disc. "
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 11,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "hdul = fits.open(\n",
+    "    \"https://lambda.gsfc.nasa.gov/data/foregrounds/SFD/lambda_sfd_ebv.fits\",\n",
+    ")"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "We are only interested in regions with low extinction. So we aim to get a MOC of all regions where the extinction values from the Schlegel *et al.* map are between 0 and 0.5mag. The extinction map we got from the NASA webpage is in the HEALPix format. This is an efficient presentation of all-sky maps. The HEALPix tesselation is also used by MOCs. So to get the MOC from the extinction map, we do the following. \n",
+    "\n",
+    "First, we check the coordinate system in the map header. We will need to convert to equatorial coordinates, change the projection of the map, and set the order (*i.e.* resolution) of the map."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 12,
+   "metadata": {
+    "tags": [
+     "output_scroll"
+    ]
+   },
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "SIMPLE  =                    T / file does conform to FITS standard             \n",
+       "BITPIX  =                   32 / number of bits per data pixel                  \n",
+       "NAXIS   =                    0 / number of data axes                            \n",
+       "EXTEND  =                    T / FITS dataset may contain extensions            \n",
+       "COMMENT   FITS (Flexible Image Transport System) format is defined in 'Astronomy\n",
+       "COMMENT   and Astrophysics', volume 376, page 359; bibcode: 2001A&A...376..359H \n",
+       "DATE    = '2003-02-05T00:00:00' /file creation date (YYYY-MM-DDThh:mm:ss UT)    \n",
+       "OBJECT  = 'ALL-SKY '           / Portion of sky given                           \n",
+       "COMMENT   This file contains an all-sky Galactic reddening map, E(B-V), based on\n",
+       "COMMENT   the derived reddening maps of Schlegel, Finkbeiner and Davis (1998).  \n",
+       "COMMENT   Software and data files downloaded from their website were used to    \n",
+       "COMMENT   interpolate their high resolution dust maps onto pixel centers        \n",
+       "COMMENT   appropriate for a HEALPix Nside=512 projection in Galactic            \n",
+       "COMMENT   coordinates. This file is distributed and maintained by LAMBDA.       \n",
+       "REFERENC= 'Legacy Archive for Microwave Background Data Analysis (LAMBDA)      '\n",
+       "REFERENC= '                http://lambda.gsfc.nasa.gov/                        '\n",
+       "REFERENC= 'Maps of Dust Infrared Emission for Use in Estimation of Reddening an'\n",
+       "REFERENC= ' Cosmic Microwave Background Radiation Foregrounds',                '\n",
+       "REFERENC= ' Schlegel, Finkbeiner & Davis 1998 ApJ 500, 525                     '\n",
+       "REFERENC= 'Berkeley mirror site for SFD98 data: http://astron.berkeley.edu/dust'\n",
+       "REFERENC= 'Princeton mirror site for SFD98 data:                               '\n",
+       "REFERENC= '                           http://astro/princeton.edu/~schlegel/dust'\n",
+       "REFERENC= 'HEALPix Home Page: http://www.eso.org/science/healpix/              '\n",
+       "RESOLUTN=                    9 / Resolution index                               \n",
+       "SKYCOORD= 'Galactic'           / Coordinate system                              \n",
+       "PIXTYPE = 'HEALPIX '           / Pixel algorithm                                \n",
+       "ORDERING= 'NESTED  '           / Ordering scheme                                \n",
+       "NSIDE   =                  512 / Resolution parameter                           \n",
+       "NPIX    =              3145728 / # of pixels                                    \n",
+       "FIRSTPIX=                    0 / First pixel (0 based)                          \n",
+       "LASTPIX =              3145727 / Last pixel (0 based)                           "
+      ]
+     },
+     "execution_count": 12,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "hdr = hdul[0].header\n",
+    "hdr"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 13,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "(3145728,)\n"
+     ]
+    },
+    {
+     "data": {
+      "text/plain": [
+       "FITS_rec([( 9.625492, 1.), (46.090515, 1.), ( 8.18071 , 1.), ...,\n",
+       "          (15.149189, 1.), (14.107367, 1.), (15.463686, 1.)],\n",
+       "         dtype=(numpy.record, [('TEMPERATURE', '>f4'), ('N_OBS', '>f4')]))"
+      ]
+     },
+     "execution_count": 13,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "print((hdul[1].data).shape)\n",
+    "hdul[1].data"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "The data field here has a specific shape. It contains tuples for which the first value is the extinction (named 'TEMPERATURE') and the second one is the number of observations of the value (you can check that it is `1` everywhere)."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 14,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "extinction_values = hdul[1].data[\"TEMPERATURE\"]"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    " Let's extract the information about the number of sides and the order of the healpix map from the header of the fits file"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 15,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "nside = hdul[0].header[\"NSIDE\"]\n",
+    "norder = hdul[0].header[\"RESOLUTN\"]"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "The header allows to see that this map is in galactic coordinates. We will need to convert this into equatorial coordinates to compare with our other maps."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 16,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "We can check the the NPIX value corresponds to the one in the header here: 3145728\n"
+     ]
+    }
+   ],
+   "source": [
+    "# Creation of an HEALpix grid at order 9 in nested ordering\n",
+    "healpix_index = np.arange(12 * 4**norder, dtype=np.uint64)\n",
+    "print(\n",
+    "    f\"We can check the the NPIX value corresponds to the one in the header here: {len(healpix_index)}\",\n",
+    ")"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 17,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "<SkyCoord (ICRS): (ra, dec) in deg\n",
+       "    [( 45.        ,  0.0746039 ), ( 45.08789062,  0.14920793),\n",
+       "     ( 44.91210938,  0.14920793), ..., (315.08789062, -0.14920793),\n",
+       "     (314.91210938, -0.14920793), (315.        , -0.0746039 )]>"
+      ]
+     },
+     "execution_count": 17,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "# Get the coordinates of the centers of these healpix cells\n",
+    "center_coordinates_in_equatorial = cdshealpix.healpix_to_skycoord(\n",
+    "    healpix_index,\n",
+    "    depth=9,\n",
+    ")\n",
+    "center_coordinates_in_equatorial"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 18,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "<SkyCoord (Galactic): (l, b) in deg\n",
+       "    [(176.8796283 , -48.85086427), (176.89078038, -48.7358142 ),\n",
+       "     (176.70525363, -48.86216423), ..., ( 48.82487228, -28.4122831 ),\n",
+       "     ( 48.7216889 , -28.26178141), ( 48.84578935, -28.29847774)]>"
+      ]
+     },
+     "execution_count": 18,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "# Convert this into galactic coordinates\n",
+    "center_coordinates_in_galactic = center_coordinates_in_equatorial.galactic\n",
+    "center_coordinates_in_galactic"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 19,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# Calculate the bilinear interpolation we must apply to each healpix cell to get the values in the other coordinate system\n",
+    "healpix, weights = cdshealpix.bilinear_interpolation(\n",
+    "    center_coordinates_in_galactic.l,\n",
+    "    center_coordinates_in_galactic.b,\n",
+    "    depth=norder,\n",
+    ")"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 20,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "array([0.08981742, 0.0991632 , 0.08249644, ..., 0.08323811, 0.08352184,\n",
+       "       0.0820533 ])"
+      ]
+     },
+     "execution_count": 20,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "# Apply the interpolation\n",
+    "ext_map_equatorial_nested = (extinction_values[healpix.data] * weights.data).sum(axis=1)\n",
+    "ext_map_equatorial_nested"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "Next we declare which pixel we want to use, let's take all pixels with an extinction lower than 0.5:"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 21,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "The low extinction criteria keeps 86.74% of the sky map\n"
+     ]
+    }
+   ],
+   "source": [
+    "low_extinction_index = np.where(ext_map_equatorial_nested < 0.5)[0]\n",
+    "print(\n",
+    "    f\"The low extinction criteria keeps {round((len(low_extinction_index)/ len(extinction_values)*100), 2)}% of the sky map\",\n",
+    ")"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "And let's create a MOC from this criteria"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 22,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "moc_low_extinction = mocpy.MOC.from_healpix_cells(\n",
+    "    low_extinction_index,\n",
+    "    np.full(\n",
+    "        (\n",
+    "            len(\n",
+    "                low_extinction_index,\n",
+    "            )\n",
+    "        ),\n",
+    "        norder,\n",
+    "    ),\n",
+    "    norder,\n",
+    ")"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "## Step 4:  Find out which regions are covered by the MASH short-red images in the low extinction regions defined above\n",
+    "\n",
+    "To find out the sky regions of the MASH sample that are at low extinction, we build the intersection of the two MOCs."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 23,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "The intersection of the two MOCs covers 0.4778% of the sky\n"
+     ]
+    }
+   ],
+   "source": [
+    "moc_intersection = moc_low_extinction.intersection(moc_mash)\n",
+    "# Once the intersection is bluit, we can for example print the sky fraction :\n",
+    "print(\n",
+    "    f\"The intersection of the two MOCs covers {round(moc_intersection.sky_fraction * 100, 4)}% of the sky\",\n",
+    ")"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "Now we can visualize the coverage of the two MOCs and their intersection. The grey area is where the extinction is low. The blue one is the MASH coverage. The tiny red dots show the MASH coverage in low extinction regions. "
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 24,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "<matplotlib.legend.Legend at 0x7f1eb883bb50>"
+      ]
+     },
+     "execution_count": 24,
+     "metadata": {},
+     "output_type": "execute_result"
+    },
+    {
+     "data": {
+      "image/png": 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vCvROTk6qPjculwter7cs8tdUKpXVyVIJQRBgt9tZNs/pdMLpdCKRSCAYDCKRSDA59erVq+c8Gc8HFTJ3kOFgInPxeBxjY2P46KOPmJRltnYC+YAyFLW1tQWNTa0ZLS+BXLt2bcYsHxXSv/feexgfH0+LJClhMBjgdDoRj8dzIrNK2Gw2+Hy+nKLoyWQS4+PjjITS31mtVtTU1Og6KSsL/IEZYlyItI4nQG1tbXOiQL4Q8DVLVqsVTU1NBf+W2+1GY2Oj5u8+SV4IeriV8hBFMS0TbTabZRusRCIhy36V21BEOeZM14jeb+X56AkiAnS9SD0wm2st3fO51uKDSGmmLYfezyeANHMLIsbFHJeejWzXW+3ccz3fQCCAoaGhgg26RFGUtUkBZhwRc7E71xpqUtDZYDAYGGGz2+26rRnkqkg4GOT/kiSxOnUqrVBrMJ2NQFHGiwhTqcE/m9n2koIgwOPxwGg0wmw2w26349BDD8WuXbuYuunkk0/O610eHh6GxWLRTYJdLCpk7iDDXCNzZNgRi8XQ39+PlStXwmaz4YUXXkAsFkMkEmHSj2IfHyIFBoOB2aTnU0eRSCQwMTGB6elp2d8bDAY4HA64XC5YrVYceuihaGpqyvi7JJ3ctWsXRkZGVOVjqVSKySqdTicikQjC4XDe1yDX2gFRFFntIJEmkib5fD5dN2tUX6VcdIstrCfjg3JFiLUAT26LjeLSAtXW1qbp/eRJSqlJk9rGld4fQilJUSbwxJIMDDKh1CSJnPUI+VwvIhelIEezgezL1eqF6d94aEGucoGWpC4XMkdQBliA2e9TLBZDb28vAoFAUeutJEkYHh6WkbqampqS7jmo7kstUGo0GuH1emG328sW5CFyxO8n5qKLrRIUXLRYLKxvXWNjo2rgmpRLk5OTqqSaaj9LWT9IZRtmszlrBppMXmgf5HQ6cfLJJwM4UI+XK7Zs2YJQKIREIsEC60ceeWTZ50weFTJ3kGEukLlYLIbXX3+dWeYnEgmkUik4HA7Y7XZmsKGVM6WSFJDTkSiK8Pl8Wb+byXQDACNaDocDixcvnjVrlUgkMDo6il27dskWOtrY0e9ZrVZEIhHY7Xa43W7m2qXmTDkbshEZvsaPaixo00O1g3pNNpl6J2ll8z02NoZQKASz2YyWlpaifqtcoHMAkHGxzAcGgwFutxvt7e2aSfjyISl6Qo3UlWqzPtu4CslY0nUl17pSjK2QYxGRL2fmM1MWjiel/DiNRqNsY0k1wKVwguSJZr7PJ92vfK+1MiOcLesaj8fR09ODYDCoiQpGjbDoLS1Uy8iRSdbg4KDs7+eCYiOVSqG/v1/mltjS0lL2ANRsyNQGIFtvumQyiampKdXMr8lkQnV1dUmydmSKpuxLpwa73Q6fzwefz4cjjjiioOO98MILzHmdWh6QAV9DQwM6OjrKYh7Eo0LmDjKUi8yRTfm+ffsQiUQQDAYZmREEAW63GxaLBbFYDKFQqOgsnJpVM2WAaOH2+XyqE3mmOjhgZjNGL2Jrays6OjqybrIpQrljxw52bnxjYJ/Ph9raWkSjUSxevJiNKZlMIhQK4a233oLf71fV9ZOkM5v8VNlYVpKkjP3kiqkdzBVqzmNGoxENDQ2aEQyyVgYODut0JZSW/lptOLQkc6WWVeYCnlgSyjkufvOei2yRB399tT4HpaSy2GPkky3SCtmycJmImXKcSnJVqmBEoaSOvlfoOJWkTu24WpM5Ajmj8utYVVUVqqqqNDsG9RTkoZYN5NvUADMlCA0NDWWfvw5GkxRRFNHf389kl8r30ePxoKqqSpWciaLIsnZq/YDdbjfcbreuda5klkLtB9RgNBrh8Xjg8Xiwbt26goNWfr8f7777LqvXjEajbF0gea/JZMLy5ctL0mZEiQqZO8hQSjLn9/vx3nvvIZlMMoeoUCgki4IIggCn0wmz2cxklYWC5I58tk2tH1B1dTWmp6fR2Ngo+z5lztSygTTO6upqrFmzZlb5Xzgcxs6dOzExMYFQKJTWLsBqtTL3q+OOO041e5ZMJrF582bWhHtkZEQmvRQEAclkEoFAAIlEIqNjU2dnJ6LRKEZGRtLaEVRVVcHr9eo6caRSKYyNjaXJU2tqauB2uzU7diKRwMDAQNGBAB5kbVzof/meG7mHEbQko9nIHGXIcwFvklGouYPZbNZs869GLPlMTakJnTJTVOjmmzbvgiBoFuhQbui1kKASiS4FGcolC5cJaqRTjdiWSpabL6mjUoNin2flcfmMrF5kjiBJEsbGxmQqk1x7mmaCWp11LkoGZWDR6/XOiTYbyv55B4NJCkkXqTm62hpst9szqpfovVa2+SBQL109snaJRAKDg4Ow2WyYnp7OuH9wuVzM/AaYeV8XL16M6urqvObnWCyGl19+GZOTk8xwxWq1Ih6Ps/ne5XKxcp1SZWgrZO4gg95kjuRzH3zwAQKBAILBYMaIB6XVSfYSi8Xy2lTyv0OuZeRYGIvFMDQ0lCa7EkURLpcLbrcbVqtVdXEhmM1mGI1GuN1utLS0oLm5OaMLpN/vx/79+zE2NgaTycTcvWiTaTKZ4HK5YDQaEYvFWH3dUUcdlZVMkWPl+++/j0AgwFwkOzs7sWPHDsTjcUxPT0MQBAQCgaxkmMiey+ViTcP1giRJCAaDTNJKIMmClpu+YDCI8fHxtL+3Wq3MslsURU1JXimgdVYxE5mLxWJ444030si2GvjrSES3ENjtdqxevTpnQnfWWWdh2bJl+MEPfiD7e57IKbNffJ1tqQjdbBnL9evXY2pqCo899lhOv1doTdrSpUtx+eWX48orr1Qdl5aySL1r/ArJwqmBSKcaWSvGNKRY5ErqtM6AKuVlJpMJqVRKVzJHUKtny6fxuZpMn2/Fkw+mpqZk7YTK1QRdCb6fKDD3TVLonvLrSFVVFSYmJtLWXpPJhNra2oznk0qlWNZOTQLp8XjgdDo1e0clSWKN0lOp1KzlPWazGaIowmazyQxzli1blpPZzwsvvIBgMIjJyUnZGkXnRQkQg8EAq9WKxsZGzJs3r+hSi2yokLmDDHqRuXg8jpGREezcuRPBYDDrYmAymWC1WuF0Olld1vT0NKampvIyOuEzUSaTCTU1NcyynwfZ2QNgmvnq6uo0ogEciOoLgoCGhgYcdthhTAPOb2IJ09PTeP3111nbBAAsy+hwONiiYLFYcNhhh7Hfr6ury4vQ0GaDio67urrQ3d2NSCSCUCg0az8cu92O2tpa3XtCxeNxDA8Pp03AWi9EmVoXAOnSUq1Am8rZ/sv2uUJBheLFbMAzkblQKIQtW7Yw565MUJo4FLqIUo3sunXrcjamUSNzfJYpU71XKQkdvynv6+vDUUcdhS1btmD58uXsM1NTU5AkKWd5GX+Oapv4TZs24dvf/rYsmwvM1FvS/KPctOtxHfQwQikmC5fp96jPZ6ZIeiGmIVphNlKnh5xVmZmkLIXWztHZjj8xMSGrocpWN63WAoHUOMUEJ9VkoM3NzWXvH6ZmJDPXTVJIxmo0GiGKItt/xWIxjI+PqxKlbCodeieDwWBGM5va2tqC20XwCIVCmJqagtlsnlUlRn3npqen2d7M7XbD5XLhhBNOyDqWVCqFl19+mfVMJpknZd4p6E/mK0qH1VWrVmlO7PPhBnO7s2gFeUGSJHR1dbHG1fF4HJFIZNYXwG63swmSoq3k1JhvRo4WeYPBgGQyKatxU7OzHx8fZ5ttInL07waDgb2MFPFdvnw5amtrEQqF8MYbbyAYDMJoNDJHIwBMOur3+1nmzWKxoLa2FvPnz0dbWxsAFL0ZoKzD4OAgy9Ll6m6pd381tQUZyC/Smivi8TgGBwdl500ROoquFmPdnw2CIMgapmsFXu5DtYPBYBCBQIBtqChAQrBarfB4PHA4HJpdX7PZnHHzkkql2Hlrcf7ZCs5zAU9Qsm3uqc8ibQj02JgrSYfZbM4YNMlXLkWkmZQHuV57n8/HmkAT9JQPms1mJBIJtqkpBkpSA2hjUkLfzTZnCoLAMvq0HhEB1LtHHZ0jnb8oiszwRK8gHJ0XL50mQ47a2lrdyYwgCKitrUVNTQ3LtNFcR/28BEFQldBrWSIgCALq6+tZDVgqlcLAwAAMBgNaW1vLZkYiCAIaGxuRSqXQ19cHSZLQ398Pk8mk2hZgLsBkMqGzs5Mpc/x+PyYmJtDa2sqCrMlkEpOTkyzwPjExwfZkbrcb1dXV7NzonbRarfD5fGzPSJ9PpVKyvR81LC9knXK5XLDZbOjv74fL5ZL5GyhBc2tDQwOAGXUWZSZfeOEFrFixIqNs12g04qSTTkIwGMQHH3yAaDSKVCqVltkEZvbJfJLCarXihRdegMPhwMqVKzOazeiJSmZuDqDYzJwoinjvvffY5j0YDBa0MTObzazui5qUkjxR+XtUXMs/PiTxUn62rq5O5gqk5kZpMBiY1JKklA6HA21tbfB6vdi/fz96enpgtVqRSqVkWTefz4dTTz1VVnf2yiuvQBRF2O12tLW1oaGhQfPFNxAIYOvWrSySo1YwTKBFeHBwEA6HA/X19ZqOhaBsgArM3Nf6+nrNI4dqUkpy6uQLx9vb2+fkApcJfH1ENnvnaDSKQCCQVQpJRdqZnr3ZMnM2my1t88Zbuhcjq+QRj8cRjUYLyszdeeedSCQSmJycxE033YS//vWviMfjWLt2Le666y4sWLAAkiThkEMOwT333IN/+Zd/AQAcd9xxGBkZwYcffgiLxYI33ngDn/rUp9DT05NRUvWrX/0K999/P7q7u9He3o7169fjy1/+MgDgiiuuwDvvvIPnn38eBoMB8XgcZ5xxBpYuXYqf/exnaXPrunXr8Oc//zlNZnnWWWdhyZIlsNls+NWvfgWLxYJLL70UN954I/vu5OQkbrnlFjz77LMIBAI45JBD8N3vfhculwuf+MQnZMf59re/jRtuuAFLly7FV77yFaxfv561YvnWt76Fl156CQaDAaeeeip++MMfsrlhw4YNeOaZZ3DVVVfh9ttvh9/vx6mnnor7778/5x5hxWTntM7CaTVGZY1hqZwvAXVSq7draCwWw/79+7F37152rVpbW3VXdBDUatyVKIUMku/tCcwdMxKlSYrT6YTP5yv7uDKByCft08hVlB9vNsfwbHV2QLqZjRIul4spWvK5RuTCKggCUqlU1t6+BoMBtbW17NlNJpMwGo2oq6tDW1sblixZktMx9+zZg71798Lv9+fUS9hqtTL1RVNTExwOBzo7OwueLyuZuf8DiEQi2LFjBwKBQNZ0dz5IJpPw+/2w2+3wer0sG6FWu6YWGaFINUWtlZv4THK/uro6tLS0oKqqCu3t7UgkEhgaGkJVVRVSqRRee+01liWcmppicknSd69cuRKpVAqDg4PYvXs3Fi5ciBNOOKGoa5EJpOPeuXMnpqen4ff7ZRIFPtJMYzQYDCxCxH9GK1AUTDnZ6NEYVk1KaTQa0djYyCZ3URTZ4lbKYmEtwBPUbJIeKpLmZRXJZJJl72gDHAgEZDUkNpsNHo8Hdru9oOeAr48rRlapJej5v/rqq7F//3787ne/g9vtxq233orPfvaz2Lp1K8xmM9auXYtXXnkF//Iv/4LJyUns3r0bNpsNe/bswcKFC/HKK69gxYoVGTeFv/vd73D77bfj7rvvxvLly7F9+3ZcffXVcDgcuPDCC3HXXXfhuOOOw6233orbbrsNd9xxB4LBIO6++24AMzURJ510Ev7whz/g8MMPz7oBf+yxx3DllVfi+eefx1tvvYXLL78cq1evxsknnwxRFPHZz34WwWAQDzzwAA455BDs3buXSW3uvPNObNiwAdu2bQMAVkhPsFgskCQJn/vc5+B0OvHnP/8ZyWQS1113Hb7whS/gz3/+M/vs/v378cwzz+Dxxx+H3+/HJZdcgnvuuQe33nprTveGzA9SqVTOm3+9snCZQJkvavswG6hmhcZJfbVKYfaizNQBYMFOvY5Nhkb19fVMukuSuVLY5QuCgOrqalRXV8taswClNQIxm83o7OxkActIJILu7u6ym5FYLBZ0dnbK2hWFw+GS9/DLFYIgoLW1lTlMU8spvuxCEATmbCpJEiKRCMbGxpirOJFqo9EIn88nWwcpCzg8PMwCneSNAIAdD5i5dtXV1Tm1XKIym3A4DL/fD4fDkVF1JooiRkdHWWst4IDaJhaLYWxsDB/72MdkxwwEAvj73/8OSZJgtVoxb948LFiwAA0NDXj77beRSCQwPj6etXyGPCYmJycxMjICu92OPXv2YN68eVi4cKGu63WFzB2EePfddzE8PIypqamsTj/5wmw2sxcrFosxF8l8f5+cfyh7p9a7jEAL8MDAALq7uxEIBDA4OIjp6Wl4vV4kk0km4ZMkCbW1tfD5fJg3b57MjOLdd9/F/v37EYlEIAgC2tvbi7oWpIsmTE9PY9u2bZienmYEVy37KUkSi1LGYjEmw+Chha5akg70o+OhRa2CGpTRRwAyyQ2Pnp4eADMLfSmt0YtFIBBgMpFCaiDIPIhkHLTwBQIBtgBEo1HZYmC1WrFo0aKc3jH+eSt3HybgQPAGmCEdf/nLX/Dcc89h1apVAICHHnoIixcvxp/+9Cecc845WLduHR5++GEAwGuvvYbly5ejoaEBr776KiNza9euzXi8DRs24Pbbb8enP/1pADNS5Z07d+Lhhx/G5z73OZjNZjzwwAM4++yz4fF4sHHjRjzzzDNsQ0WOujU1NUyGkwlLlizBDTfcAABYsGABfvazn+Gll17CySefjBdeeAHbtm3D1q1b2TyzYMEC9h6QzKyuri5Npk71Vi+88AI+/PBDvP/++2htbQUA/PSnP8Wxxx6Lbdu2YeXKlQBm5qEHH3yQBWXOP/98vPjiizmTOZoHZiNzpcrCqYEnR/k810ajkSlB6PvJZLJkY+af/1Icm8gM2f2TMUqpbPxFUZTVoFM2fnJysqSZQsp2+P1++P1+NoZym5E4nU44nU5mkkIyxXKPS4lEIqHqY0BlBTabDbW1tWz9I9dwUlfxdXapVErmPsrX2TU0NDACRfuplpYWmYkKBfj579PeMROo729/fz+cTiemp6czyi4jkQhz3XS5XCz4TuZ+vOpmcnISsVgMExMTEAQBo6OjcDqdqKurw4knnohUKoW3336btaWiVgbZrjMdx2AwIBKJwO12w+l0or6+XvN5okLmDgJQgXFXVxei0Sji8TgmJydnNdjIFdQbzWw2IxqNsuxXpg0mH2UBDkR/eTidTnR1dc167GQyiaGhIZhMJuYa1N7ejtHRUbYRJoeimpoatLa2YvHixWm/M2/ePIyOjhbVRDKRSODDDz/E+Pg4kskkVq1ahUgkgp07d7I+fJlS7WTlDMxozZVSx+rqakxNTUEUxaJqHmKxGJscCTRx6uGqxBMcglI2y4N6yVksljlv3cyDdynTamNCLSv4TBO1reCDG2q9pngJMy+rBOYGkUulUjKjo3379sFkMuHoo49mn6mtrcXChQuxa9cuADOyxuuvvx5jY2PYsmULjj/+eNTX1+P111/HhRdeiK1bt+Kqq65SPV44HMb+/ftx1VVX4ZprrmF/n0wm4fF4WObrmGOOwdVXX40f/vCH+MY3voE1a9YUdH5KGU5jYyOT3r7//vtoaWnBwoUL2b2Lx+MscEH3ju6pmhPirl270NrayogcABx22GGoqqrCrl27GJlrb2+XZdcbGhrSLN+zQRAEppRQBqiAzLLBUjZ2L7bmjgKCREbpuutN6mjc5DhJx9a7ls9qtcoyVNFoFN3d3RmDa1pAkiRZkM7r9UIURfT29kKSJPT19cFut6O+vr5kzw3V51EDdCIF5TYjqa6uRlVVFTNJKde4qBwlHA7nJBEEZp7paDTKMm9KYgfMPH9UZ5dKpTAxMZGxzo7UVj09Pex5aWpqQltbG6uZnpqaYhk2/vsulwter1f1mplMJrS3t2NkZIQZ0Hk8HhgMBjZP07yXSCSY+VQikWC1r6+88gpWrVrFgn0dHR0wGAzYtWsX85ogHwS/34+PfexjOOaYYyBJEkKhELZt28b68hG549dph8PB5l3KRtK7YbPZYLVaUV1djaVLl2qy36iQuTmKaDSKffv2YWRkhBmZmEwm2O12xGKxtL5whWTnyJHHarViampq1jo7svJXZtmUmwHeUpZq4UiDnQl1dXU47rjj2MbFbDbj3XffZUW2LpcLa9asyRjh8nq9OO2003I57TRIkoRXXnkF4XCYOX46nU68++67CIVCGB8fV72+fC0aLag8LBYL6uvrYTQaGZEDkPeLK4oi643Ho9heQNmOR2SakIvFNN90Xi/DEz0wPj7OjEy0agaeCeTwWlNTA+CAgQsPIghK+dZckVXyjcANBkPO12vJkiWorq7Gli1b8Oqrr+KWW25BQ0MD7r33Xnz44YdIJBI45phjEIvF0jK6tFm47777ZISRegABB7Jeb775JoxGI/bt21fwOSo3EIIgsHPmgyY8WSAJLD8fFmvukm0c+fwGRaOp9Yuyjxt9rpymEkSCC7le5IbJO18SqSuF8yV/bPrfTG6uWoEyVBRwow2jHrJDWtscDgf7bYPBgI6ODibXm56eRnd3ty7y/kygQOZcMyMppUkKEYpwOJxTT2DqiavWH45vCUV14dmIHdWh1dXVpdXZ8QZh5GoZiUQwODgIt9uN2tpaWK1WViOcSqUQDAbZ93k5ptlsRk1NjUyOycsuybglkUiw8gjKHEciEUiSxM6Lgi2iKKatM21tbWhtbUUwGMSuXbsQDAaZod6WLVtwwgknQBAEuN1unHjiiQBmVFsjIyPYt28fYrEY20dSVtBms7E9Im+QZzAYMD4+jsHBQdjtdhx//PFF7T0qZG6OYXR0FB988AGzt6dUtslkgslkQiAQgMlkYqlmk8nEsmiJRIJl7maD1WqF2+2Gw+FAIBCA3W5Pc2IkKQWBauqU4MmkzWaDz+eDJEls80kvhN1ulxEESt9Tzzh+Aejs7ITD4WDZLi2Kqyl6R5mlZDKJ4eFh9Pb2YmxsDIFAAGazWWbgkeladnZ2QhRFjI+Pp8kVqG0CZR3VIt+5QNmoFDhAEPXYJJB8h0c2S2oe8Xic1Zq1t7fPCdKRC6jGASiPUQtlTiwWC8vY0iKqRKEbXa2g1heNxrNo0SIkk0n8/e9/ZzLL8fFx7NmzB4cddhiAmXM97rjj8Mwzz2DHjh1Ys2YNkyP/4he/wFFHHSWT8vALbX19PZqamtDV1YXzzjsvY++4e+65B7t378azzz6Lc845B7/5zW9w0UUXsc8Axbt2Ll26FP39/azWj9w5efKgtlHgceihh6Kvrw99fX0sO7dz5074/X52vbQC/8woI/SlzsJlgtFozLu2Tw3kssc/H6VyvqRjK2v59CbJHo8HbreblTOQ7JDMqIoFqS0MBoOqcZfNZkNnZydTN4yPj2N8fLykmSij0YiOjg62bieTSfT09JTdjETLcUmShFgshlAolNXRkWCz2eB0OuFwOPJy3PV4PBgYGGDyZ9rf8cSOXCz5+6tWZ0du5cr1jIgev+YajUbZ96enpzExMcH6u/FyzOrqarjdbhgMBpns0mazsbIcao9QX18vK0uhsTmdTkQikbR5WhAEeDweHHPMMQBmgkJ9fX2ora1VvWZ2ux0dHR3o6OiAKIp45513MD4+znoMK12vCXzGzuFw4LnnnoPb7UZDQwPmzZuXN7GrkLk5hJdeeok9dMreNuT0aDQasXDhQng8HjYxjIyMYGJiIqcGw/R7VVVVsNlsOO6447Bz50709PQgFAqxYxkMhpwNVXgCSBGQww8/HIsWLUJvby/27duHmpoaVt9nNBphs9nQ3NyMxsZGVadJimAVA1EUWYFvJBJBX18fgsEgmpqa0NDQgJ6eHpZGJxBhpQg4ZR6o5wgw87IrJaQUYTIYDAgEAmlZOiKys0ksqZ2DkkRmkzYWg0y1d/m4kx2shid8gfZcctzksy/JZDJN1qxHhm62FiT85pg2xjwWLFiAT3ziE7j66qvx4x//GC6XC9/5znfQ1NQkc3dct24dbrrpJhx11FFso7l27Vo8/vjj+NrXvgar1creMyWhu/HGG/Gtb32LRUVjsRjee+89BINBXH311Xjvvfdw++2345FHHsHq1auxYcMGXH/99Vi7di3mzZuHuro62O12bN68GS0tLbBarQVlMNatW4e1a9fi85//PDZs2IDOzk7s2LEDgiDglFNOwSGHHIJQKIQXX3wRy5Ytg91uT3uXTjrpJCxZsgRf+tKXcOeddyKZTOLaa6/FunXrsGLFirzHlA2ZVAVz5XkHcq/tyxXKdgZ8tkxv50taLyj7WYoMoSAIqKmpQXV1NevNNjY2hrGxsYyOvLmAL+eglj6ZQBlBIi39/f2wWCxoamoqGZmaq2Yk+Y4rHo+zz2RzyQYOuJBTqYwWY+3o6JCRJ5fLBYfDgbGxMVYHNhux4+vsKNirDCaRc7HSlVRZopBIJOD3+9lejQIWwExJT3V1Ndrb2zE4OAiz2cwCKXy5S3V1NfNZiEQi8Pv9ePXVV3HEEUegtbU14zNqNpsxb968nK6dwWDAypUrmaPn/v37EYvFmGxT7V7SeKanpzE2NoahoSHs2bMHbW1teWW4K2RuDmFgYEC2eaFatoaGBixevBhVVVUQRRE7duzAjh07mKwtX5MSp9OJefPmobGxEa+99hp7sAEwEkeR5aqqKhiNRlkrADW4XC5MT0+jpqYGRx55JOrq6gDMLAC0CIyNjWFqaor1fNPTynhsbAxvv/02AoEAi5TSojoxMaGadXM6nWyjbDKZWGZSqTnnrzVFPynLp8xckMsjkR01QpbJ+tnlcqGmpkaXTZcoiqzegmAymdDY2Jj3ZopqKaqqqg4awxP+/vNGOuUGv+kkSTVl3pWtQLQmdXa7XXUzwNdVZZOOPfDAA7j++utx7rnnIh6P47jjjsOTTz4p+81169YhlUrh+OOPl/3dM888g3Xr1gFARkJ38cUXw2w24yc/+QluvfVWOBwOLFmyBFdccQWi0Si+/OUv48ILL8SZZ54JAPjiF7+Iv/71r/jKV76Cv/zlLzCZTLjrrrvwgx/8ALfffjuOO+44mXNkPnjkkUdw880349JLL0UkEsG8efNw8803AwBWr16Nyy67DF/4whcwMTGBb3/727K2BsDMAv7YY4/hm9/8Js4880xZawItoWxODmjb4For6PX+lcv5ku8Vx2cI9c6E8r3ZhoaGEI/HWWYt34bb4XCYrUm5qi2oBxyvbCmH4yQRiYmJCSZDnZiYKIrY6jmuXEDtmlwul+7SYZKJUs1fJBLB1NQUK0OIx+MYHR3NidgBYKQemFlPJicn2X6SXEkBsGbmynMzm81MzimKIoLBICNzvJmLyWSCzWbD9PR0mpeDkgD6fD7WXmpqagqHH364ZnMCOXqSgsvv9+O9995DIpFgxI3WeJvNhmQyiXA4zHorh0IhvPvuu3ntxSp95uYAqJfEAw88wGrCKH1cXV2Nzs5OpsuNxWIZ2wXMBqfTiaqqKng8HtYbLRgMsiJNSqc7nU64XC6YzWYWDXG73RkdKa1WK5sgvV6vrIF3KUF9SD788EM2+eTa9JykbtTsmiYINSmDyWRCU1MTjEajaq81asxNxjU8weMzXjRRKjfoDQ0Num24ipFSqmFoaAjRaBRmsxktLS1aDVNX9Pb2sg1uuYkc32eOapsIyvor/u+UcmgtzsFsNqc9d3x9XKmzOXwAhaSM/J/nkuSUajQkSZoTWS/l+MxmM3tuyn3tMoGeNb3GR+6TPLkt5l4RQcyFGCpNjvIhk/F4HD09PayeO98xKh2Vc6kL5teJYgyhlAZa+RJKLUA1/Px8Ukr3TSVSqRT8fr+q9I5ApK/QFjZagur9SDHi9Xpl2cR4PI6xsbG04HgmYscjW0+6XBrQk/R0fHxcda9HUtHZQFLhI444IifnUdpfNjQ05DV/SJKEYDCIPXv2sO8feuihEAQBExMT2L17N6LRKNuP7d27F//v//2/nPrMVcjcHACRuY0bN7KiVI/Hw/oTxeNxxGKxnGrhMqG+vh7z5s1Da2srXnnlFebu4/F4EAwGWc1CKBRiPW1CoVBGAsfD4/EwIrRixYqyuBjG43Fs2bIFfr+fZRZzgcPhYK0UqAB3NuentrY21b5uTU1NsFqtqo27Ce3t7Wl92oDMESktkKkBaLGNXnkiW25SlAskSZLJX+fCmInM8RImCixkg1r9mpYR/0w1aaWGWo1XOZ3qAPnGnL9X/DUrV/ZLaW7CPxc07rlwDdVQqvGpGcAUQuryIXMEZaY0l/eqGDJHUDbcNpvNGSXxqVSK9bOjNa0YSJKEwcFB9m6Uqj+eEkriUEoJKFneq+0tnE6nLDg/11oZEMLhMCYmJphPg1ppQiZiZ7FY4PP5VNc1NbKtRC7EDkjP+gG5GwQajUbU19dj+fLlsxq4vfjiiwgGg7BYLGhsbCzYQV0NfG38xMQEamtrK2TuYAGRuYceeghWq5WlsYu9NbRRdLvdWLZsGRoaGuD3+/Haa6/BarUiGo0yu1QiF1arlcm7lG6GNpuNpYLdbjdMJhMsFgtsNhtWrVpVNvnCRx99hK6uLlk/r2wwmUxwu92w2WzsvAtdKMkOGpgxfFBKUUnWodamwWq1oq6uTrcIoVozcbPZrFqjmC/4vnNzqd4sE3giJwgCOjo6yjyiGdC7RHLcfDeyxUT8M2GuEDlAvvmdCySEH4/ataZ3rRzZOeWzoDYGGt9clFryct5SXD/lcw7k96wXQubUjjtbIEYLMkcg50mCsp0AP09qZaBCUBJKr9fLenKWEkp1SjHKlEygDIyahNJgMLAyE/6YfHsck8mElpaWsgcblRBFkfU2TCaTrH+bGvIldqFQCGNjY6xezmKxpNXyAzPPjdfrnXV+yHYPssHn8+Gwww7D/Pnzs76TlDywWCxYuHAhDj300LyOkwuIG1TI3EECNZmlGiiDRG5d0WiU2a7yoJ5tLpcLy5cvZ71nRFFkEYVgMJixGDPTI0EuiiaTCQsWLEBdXR2sVmtZN/KiKOLll1+WSedmA5mx5GoYowaKnsXjceaeRLDb7aygV43gFZsRmw3KBRs4IP3UYnGgCR3QJnKrN/gNislkkvX2KjckSYLL5UJrayusVmvBZEUZ8S90M8wTgnKTJ7WAVrmIZa4EtxzZOWXD72z3ja7pXJFaqkkfCaVwoKQx8Pc21+MWSuYIuQZitCRzBKVTMhEamic9Hg9rn6I1aNNOKFcdm7JEoljyqpYVItjtdtTU1Mw6n/JZUUD/vUKhmJqaQigUgtFoRDQaZWquTIqSXIkdZU9pH0ru6JFIRJWUeTweVFVVzbrWEYHPNUtH+6UTTjgh42+Tm/kHH3ygmyKtQuYOMtAN+9WvfoWqqiqZ4QZlvqguLZFIsIWP0rFjY2OQJAlWqxUejwcOhwPLli2Dz+djx5iYmMC7776rKvFTa/qt1BqbzWYccsghWL169ZzYBADA4OAg3n///YzWrwTeoTOVSiEUCmV9oWlBzUQOOzo6VB0gqb8OmaHQ92kB1lOnn0lKqaVkQ5IkWR8aJSh7S//NBctznshZrdY51f+OmpkuWLAA7e3tRS/ayk09kB/5mS3rVCqoESc6N6D0WaV8M5X83K33868kBLMdkz6fi5RXT6iROIPBkGbyA2Q33dESyms5W8asWDJHmC0QoweZI0xNTaWtY6WYJ6m+nQKqgiCgra2t5IFhSZLSAq75BCjJPl+tXitXaaAa/H4/W8vnapaOHEttNhtisRh7Nu12O3w+X8Z3gtY9paySiJ3ZbEZ3d3ca8XI4HCwQr/QpAA40Kc90XCLKuRA6ali+YsUKzbO2+aBC5g4y0A176qmnYLPZWG8a6j1VV1eH+fPnY9++fejv78eCBQswMTGB8fFx+P1+BAIB2Gw2NDY2Ys2aNWkTkSRJ+Nvf/oZgMChzTMy1ONRut8Pr9eKII44o22aYHB97e3tRX1+PHTt2yPqQZAI5ZwIzPcVms/mlTGOuWTuj0cgkcpQRo41HMplETU0Niyh1dnbm9Jv5IJVKpZmsWCwWNDQ0aLYZV3O+BHJ/fvjPl5Ls8RlEu92OhoYG3Y6VLyhSaLVasWjRInR2dmq2uc4306AkgeXM2qi1QKCxUFapVJt7QC79yzVTyZMCvYin8p7lc03KKbVUq1fj2wXQtaM/8/N1qaSr/D0HMgc2tCJzQPr95J99PckcHZvaGRByMUnRAso6NipbKPX8I4oiBgcHZaRM7RpkCpoCM89JbW2tZsHTgyFLR2SY5mYlqZ1NEZSJ2NH+N1Pg2Ol0oqamhvWyUyJTxo6Cu8p2P8DMuud2uxGNRpmpG7VHWLVqVV5tArRChcwdZKAb9vvf/x4NDQ1YsmQJXC6X7AUgV6p9+/Yxa9ZAIMDcv3w+Hz72sY+lyRUmJyfx9ttvs+xVts03RSwMBgMMBgPsdjuTWyxfvrwskiuqzdq7dy8zJ7Hb7RllosABa3NygwoEAqxxrFaPO8lSADCbXMogxONxJh2hyCc1w9QK1ACdh9frRVVVlWYLYSqVwtDQkGrUUc08hDZqNBlGo9GykT2eyLlcLlmWutzg7x31WWxvb9c8U6LMNKht+OdSfRw/FjXixP97KcZZjJOnntk5JdnI9xi08SplXd9sJI7/HC9TVX6vlNLL2ZwvtSRz/HH599FoNLK5TC8yB8yoXJQb6lLWtClNw8pFXJTkkhwZJycn0xRNwIEeZ3oGl/jsqdFozNoTrVyIxWIYHh6G2WzOaGRSU1MDt9udN7HjoUbCXC4XqqurEQwGVUm2GrHjFUb8ntBoNKKhoYG1FaH/jj/++LIEvypk7iAD3TC/36+quxVFEVu2bGH2q7FYjC0yVMC8Zs0aGZGjaNv27dvR39+fkcTQZCWKIut9QbrxxYsXo66ujr1ANE5BEJjckzYFfX19CIfDOOywwzRZ2EKhELZu3ZpzKwZ+3MDMok/jJBJHPUiU9WT5gBYZ0sdTBCeVSkEURTYREMj4RAvnRMpOKvvRae1+lUwmMTg4KNvI+Hw+VufQ0tJSELEvFdnjI5p61n4UAr5WpbGxEQ6Hg7Um0Ev2ptz806Z0LtXH8WPJlmUqVdarWIKrh5xROa5CSQT9TimklmrS39nGrZY5VCM5pcjOZnO+1IPMEfh3NpFIYHBwMC+X5nxB61RnZ2casSqVjb+a5LFUGUIl1IKlhNlIiR5QZunq6upUe9aWE3wLg1QqhZqaGnZPeVAvxGx7lmzErr6+HsCM0kq5r1U6gyrBB7z5Uhn+dwRBQF1dHY466igMDw+jra2tbFLLCpk7yJDphqVSKXz44YesaSMtIBR9MJvN8Pl8OPHEE9M2Nv/4xz/wwQcfwO/3py2kZJ/vdrvh8Xiwdu1aWK1WDA0NoaqqKi0i5vf7sXXrVkSjUfh8Ppl5iNFohMViwdjYGCwWC9auXcsahhcCSZLw0ksvsbYIs2XUrFYr3G43nE4nWlpaMDw8jGQymUYCbTYbBEHA9PQ07HY7kwjyzcQzge9x1dTUhPHxcRgMBuY6arFYUFNTk7bo8BNwMRJLNSml1WpFfX29pgud0m0MOEAUabHXs/mrFmSPbJMBaJ4NLRZ8zyXqt8T3mdNzY622KSWUsz4OkG9ccxmLnnJLZduBYrJAWmbnis3GZRpbqWSgQO7PWbbrlikwoTcynY9eZI6OSWtZX18f9u7dm3dfq1xAASan08nWbmU7gVKqG5TExeFwMEOxUkCSJAwMDKTtCwwGA9ra2sqaFeOzdHNhPGoIhUKYmJiAwWCAIAhobm4GMKMSU7a6MpvNqK+vzxpITCQSGB8fTyvzIHOUWCwmM/NRgvbWSlRVVcFut2c0RvF6vWzvR+6aRx11VEn3FBUyd5BBecMkSUJvby/27t2bZljicDhYVsJut2P16tWqEY6tW7di165dsuwZAOaY53K5MG/ePMybNy/rZJBMJrFlyxaEQiGWfeLlHm63G4lEAtFoFFVVVfjYxz6WdyaE9Oo7d+6EJEkIBAIIBoNwuVxwu90yFySSUFqtVtTU1MBqtWL16tWwWq1pJBCYWYRcLhfi8TgmJiZYP7xoNIp4PJ5GFniLZtJ7A2AFuU6nk7VyIDKcaXEdHh7G9PR0wZkztehgMUXVmcC3GSDwDmMTExMIBAIwGAxob2/X7Lj5ohCyN1fqDHjbaT7SnY3MBeNANKntQi1JEuIJLrtjPLARtZkkuEvsicGbP+S6MddLbqm1AQwRj2Kynlpl45QgCanWZKgYEkeg+5BpbOWSXtKxlY58egdDYrEY9u/fj7179yIWi2leV0aBOrUWM0ob/1K6FytdmbVulaAGZZPzlpYWGI1GJtkHyr+mHAxZOhqjyWRCKpVCU1MTW99SqRTGx8fTZKsOhwO1tbVZ3yWlEyrB5XKxGjq1f7darWhsbMzaqiBT0oBXdnm9XrjdbpxwwgklmW8qZO4gg/KGTU5O4uWXX0YgEGDGGkajEV6vF3V1dVi8eDFzuMyEnp4e7NmzB5OTk6ydAckMFy5cmDW6EAqFsH37doiiyMiRml6cB2Wn1q5dm3eh6J49e7Bjxw72klEjxmg0yl5MmqyoFUNtbS1WrFiBhoYGjI6OoqurC/39/bLIT3V1NXOvnE2ewpM4mhyJuAaDQfbncDis2iNGDbx0JVdIkqQawdLDvlmthQFljAj8Yj4XmmxnAu9aqQaDwYC6urqyNGMdGxtj0iGlbCgTmQvGgY3vWjAZ1TYKL4li2oJlMBgAQUC1TcT6I+M5E7r169fj0UcfxaWXXop7771X9m//9m//hoceegif+9znsHHjRtm/vfnmmzjjjDNwyimn4NFHHwUgJ2V//OMfcc8992D37t0QRRGtra046aST8IMf/AAAsGnTJlx//fX4xz/+AUCeXfJ4PHj00UfxyU9+MvdroiAgWhKcYrJzhTSYzhVaSy3VSE6h15F+azYSXC7pJaBPf8dMIAOUkZERGbHSglTwtcWZ1imlQQptjEu1FlAwkVCozD8blKqUmpqatM0znxWbCw6TPPEslxvobBgfH0c4HGYteMiMjhCPxzE6OpqWBc1W/z+bKyUFvEOhkKo5is/ng9PpVCV2ufgqUJD/xBNP1P3+50PmSjPzVZAR119/Pe6++27Z3/n9fjZZEHmh6OO8efNykrm1t7ejqakJo6OjrD9cNpDeec+ePYzAUQR0NphMJjQ1NaXV7eUK+g5JKex2Ow4//HBs27YN1dXVSCQSCAaDcLvdcDgcEEWR1azt2rULY2NjiEajaWNVaziZCYIgoKmpCWazGclkEuPj44jFYiwTGg6H4fP5ctZOkyQg1+tB7Qz4SU0PKSWQXmwuCAJaWlpUzTFo89Dc3DxniRwARuR4qVAqlcLExATC4TBEUWRZTqPRiLq6upL0NhoaGmLPQj7N1aNJAZNRA2xGCTaTNvE2URSB/12oDEbjTHG3KAIQERONmIwaEE0KcFtyP15rayueeuop3HHHHYwoR6NRPPnkk2hra1P9zq9//Wt86UtfwqZNmzA0NIT29nb2bL344ov4whe+gFtvvRVnnXUWAGDXrl14/vnnZb9BNbE0RxW6idfbAIbk3KlUKuMYSaqdaUx6SAn54FUx0JLEKceWSwDOarWyDChd51JIL4lo0nydTCaRTCZ1Neax2+3o6OhgdWU0hxdT00ab3WylEVTjRIQnFouhu7tb81rtTKipqUFVVRX6+/uRSqXQ39+vGaGUJAnDw8NsjjabzRnXOq/XC5fLhd7eXiSTyZJeAzVQL+Genh5IkoSenp6SZC/zAbVrGhgYQCgUQjAYlAU0LRYLWlpaAMj3JVNTU0zJQuSL7onRaERHRwd6enrYGsC7hvNtHXw+H6xWq4yoj42NsebkjY2NsFqtrH4u23xoMpmYd0QqlcKLL76I448/vmQBpNkwN0bxfxAXX3wxNm3axNwo+QWxs7MTDQ0NcDgc2LlzJ7q7u1FTU4MjjjgirygqTUzZIEkShoaG8NFHH+XkeKmE3W5HVVUVFixYUPDmuLW1FQ6Hg8khe3t7sWPHDhgMBoRCIVafp8xWbd++HbFYLGNqnM6PJtz+/v60CJDD4YDP54PBYEA8Hsfw8LBskxCNRlFTU5N3vQARh9m+pyRWgD5SSiBdokAkPBNZJIJE2vG5CpqoTSaTbFNCpK2urk4m7SCXTv47ekiH+vr6WICh0KymzSTBqUEQWhRFSIYDNvYzECBJ/+sOlkghlsp/fEcccQT279+PP/zhDzjvvPMAAH/4wx/Q2tqKjo6OtM8Hg0E8/fTT2Lx5M0ZGRvD444/jm9/8Jvv3Z599FqtXr8bXvvY19ncLFy5UzbSZzWYmlVa6ImaCKIq477778PDDD6O/vx91dXW4+OKLcd1118FsNuPDDz/E9ddfj7feegt2ux1nn302NmzYAJfLhb/97W84//zzsWfPHpmy4Vvf+hY++ugj/OlPfwIAvP766/jud7+Ld955B7W1tTjzzDNx8803M/n50qVL8fnPfx7/+Mc/8Mwzz+BTn/oUNm7ciFtvvRV//OMfMTAwgPr6enz2s5/FDTfcICMmd911FzZu3IhoNIrPfOYzqK2txebNm/Hqq6+yz/zqV7/C/fffj+7ubrS3t2P9+vX48pe/nHYtyARHFMW8yY8yM0X3oxyZAaPRCIPBwKSXZDxTKukl77AXj8d1zdIJgsCCir29vZAkCX19fcwILd/zpZryXGR6ZrMZnZ2dLFM2PDxcMndFqg8jpQgRSrUMWq5QNk7PRUJqNBrR2dnJCMPw8DAsFguamprKEuw0GAzo7OxkWToiKvkEDvWGxWJh5AsAent7mfqKH6PD4UBnZyckSZJlzeicDAYD6uvrmf9BR0cHc6WcnJyEzWZDfX09cxen72YC7X2BmWebiF1fX59sD0z7QWpTQN/l3Y7nAipkrgwYGhrCI488AqfTiYceeghnnXWWLNsmCAJ7aA477DAsWrRI8xeTMnE7d+7E1NTUrI201eB0OlFVVYVUKsXqyPKRfZA74zvvvMNaIoRCIYTDYaRSqazGJJkci3h9c2NjI4xGIxKJBJM8Eqqrq9kiEI1GMTExAZvNBrvdjkgkgkQigZqamoKiLmRnC0D1+5IkYWJiIq3RuV71CMrGsGoTqRK8xW+p7KkLwdjYGHtOWltbM37OaDQyFyzKvE5PTzPnTmBmQq+rqyuauColn+WWp4qctFK5yRQE4X+fA5Ft7IH8xnrRRRdh06ZNjMz95je/wYUXXogtW7bIPidJEp544gksXLgQixYtwgUXXIBvf/vbuO6669j1aWhowBNPPIGPPvoIixcvznpc2rAnEgnE4/Gc3p3vfve7+OUvf4nbbrsNxx57LIaHh7F//36YzWaEw2Gcc845OPbYY/Hiiy9idHQUV199Na677jps3LgRJ554IrxeL/7whz/g4osvBjCT/X366adx6623AgD27duHz3zmM7j55pvxH//xHxgfH8e1116Lb3/723jwwQfZ9b///vtx/fXX49vf/ja7NjabDffddx8aGxuxe/dufO1rX4PX68XXv/51AMDvfvc73H333fjRj36EVatW4amnnsJPfvITGWn+3e9+h9tvvx133303li9fju3bt+Pqq6+Gw+HAhRdeKLsWJpMJ8XgciUQi53lHjcTpkY2ieZxUKbl8nuzEySAnHo/rKr3kx8VnCEuRpTMYDOjo6GBS+enpaXR3d7NMSC4o1ASnpqYGXq8Xvb29SKVS6O7uLllGyGq1orOzk61pExMTmJiYSCsPyAZlzVkhLRiqqqrgdrvR29uLeDyO7u5uXUohcgWfpQMwZ7J01OBbqZoi6TCQXvMnCAI8Hg88Hg9EUcTk5CTzaSDyRS7sPp8PdrudOV/Sb9bU1MDlcrHvzoZEIsF+m9RYRCZtNhvcbjesVitWrFiB6upq1rqEn1tSqRTbU5Vjva/UzJUJoVCIvWj56GK1PP5LL73EIlNq/TuygR5iu90Ol8vFouNqzpo86Bgkf9uxYwdGRkZgtVpVDUmUIAOUTOCLwzPZC1P0JxwOY2JiAm63G0ajkdXG0Z8LBS00ykUimUxiaGhINrFRNEkPsq5sY5Br9JY3RCk3EckGvmag0HEmk0km0+VBvRvzJXY8kcvFMCZTzdxoRMA9f7eiyioWlZnLRuR4hOISJqeBq44Ko9ljyul5XL9+PaampnD//fczWTQAHH300dixYweuuuoqeL1ebNy4kZGAs846C+eccw6uuuoqJJNJLFy4EL/+9a9x/PHHA5gJ0lxyySX4n//5H7S3t+Poo4/GKaecgnPPPZfNK5s2bcLll18u2wDQpj8cDmesmQsGgzjkkENwxx134POf/zwAORH55S9/iVtvvRU7duxgv/3Xv/4V5513Hnbv3o36+npcf/31+Oijj/DHP/4RANKydVdddRWMRiN+/OMfs+O+9tprOOuss9Dd3Q2v14ulS5di+fLlePTRR9PMPAwGA2u5cd999+Gpp57CSy+9BAA4+eSTcdRRR+Hf//3f2W+ffvrpCIfDLDN3xBFH4Oabb8b/+3//j33mrrvuwv/8z/9g8+bNadck15q+UpE4AhGjQslYKVwv1eoO9TCsyaVpOG+wBORWV9bd3Q1JkoqSaSoNQ0qZEVK6Ts5WxyZJkqy/mMFgQGtra9Hj5Wv6bDYbGhoayrpmBoNBWa1Yqe8Jb/nPw2w2o7a2FiaTCX19fWn1aRaLJWtJUKa12ul0wuv1YmBgIO03BUFg7aLGxsaYyitfUIKFehevXLlStleXJAl/+9vf2J99Ph/bWy5evLhgg5pKzdxBgHJHTEKhkGxxzpXI0aTgcDjg8XjQ2NjIiljnz5+v+iImEgns37+fpa+TySQrpqaMYKaXjF5OnqQps2yAvGBZOZkBM4sbyfH8fj/C4TDcbje8Xi97YZqamjSZ9GgiIymWUs4BHMgMaj3pq/Xqycf9jBZIAGWTjuSC6elptokoxp6ZMriAvLcNT2gpCjjb5og3E7BarWhqaipoTFohVyIHUIZu5homEom8Nr8+nw9nnHEGNm3aBEmScMYZZ8gK3emd37t3L9555x389re/BTBz7T/zmc/IyJzT6cSTTz6Jffv24ZVXXsHWrVtx00034cEHH8TmzZtZ5t/tduPll18GcEDyAgCrVq3KOM6dO3ciFovhYx/7mKoMb9euXVi2bJls4V29ejVEUcSePXtQX1+Pc889F6eccgoGBwfR1NSExx9/HGeccQZ7199//318+OGHePzxx9lvSJLEno0lS5YAAI466qg0gvTHP/4RP/3pT7F//36Ew2Ekk0lZlmXv3r340pe+JDunlStXsusQDoexf/9+XHXVVbjmmmvYZ5LJZMaNANX0iaKo+owoSVGp5Iv07GWrNcyGUkgv1X5HWcdXiiwdMLOeUF1ZMplEf39/1vqv2dQjuUItI1SqljBU6021fFTHpnZ8ZWBXyywa7T36+voQjUbR3d1dUtdPJahVE39P8snY5otkMonJyUlVtVSmpuoku6T5B5gJWlDDdrVSE36tpnYEyWQS4XBY1gCcJ3S8lNJms6GtrQ2pVCrNvXs2UPA/HA7DYrHgtddew4oVK5jaB5jZZ1GSYnx8HDabDePj4xgZGUFDQwOOPvrovI6ZLypk7v8oSMpIUEY0rFYrvF4vWwTp72hDu2TJEtZQnBYGNVvj/v5+7N69G1NTU4jFYjmTRhoPvdSAulU/1cORdJGvq7NYLGhoaIDRaGTkkdo6OBwOBAIBVFdXa6r556+pklQB+kkpJUnCyMiIjBST61I+58Y32y7XYjQbEokEew7IOloLmM1mRsDi8ThriUHPMXCgt41yceKlO7wJS7mQD5FjEASYTWYA8bwJ3UUXXcRq33hDJ95E6bHHHkMymcSiRYtk/261WnH33XfLpOaHHHIIDjnkEFxyySW47rrrsGLFCjz99NO46KKLAMxs9ufPny8732yybJ4UUG/MQrBy5UrMmzcPTz31FC677DL86U9/woMPPsj+PRwO44tf/CLWr18v+x7V7vINz/mG7W+//Ta+/OUv48Ybb8Qpp5wCj8fDZJS5gjY09913X9rGIdMzwPfb5D9TLhLHH0+L3yiF9FJN3ERkklxS9ZZ8AjPn29raygJRiUQiI7khGb0WpIvqtihoSfVkpWo2TrV8FMSl45OhGd9WQK9+eSaTCZ2dncy5eHBwsOA6Ri1A94Tq5MfHxzE+Pq5Zli6TfBLILVBNNW9Ux04B+2AwyFRFfr8fBoMBjY2NafO11WplZRXKYDn/PjY0NGBqaoq1MqI12uv1wm63p7l55woid/z5rF69GolEAm+99Rai0SgikQgr6UilUti+fTuWL19e0PFyQYXM/R/F9PR0GrGyWCysBcL8+fPR2NiISCTCnIQy2fGTsxwA1vtr69atiEQijMTli/r6euYSpZZpA2bkkuRSyJMYp9MJn88HQRAQj8dljl3RaBShUIgtcFpPtLyZCRE5u93OiK/WoPPnr3Ghjb2npqbYM5Fvr8BSQRRFRqxIPqEHLBYLMw/i7ZOj0SiLHtrtdpaBor/zeDxlv3YFEbn/Be/Sl0gkcpaJnXbaaUxyduqpp7Jx8PLB3/72t9iwYQNOPvlk2XcvuOACPPnkk7jssstUf7ujowMOhyNjnSz9Pr3LfECFbztwyCGHwG63Y8uWLTIiSDj00EOxadMmhMNhlp174403YDAYsHDhQva5c889F48//jiam5thMBhwxhlnsH874ogjsGvXLtXfp3eUz4pQxuatt95CW1ubzAyGr+sBgAULFuDtt9/G5z73OfZ3b7/9Nvv/9fX1aGpqQldXF6tfnA38/EcZxHKSODXkWjeXCeVyvST5JQUa6Lh6Z+ksFovMFIMnNxSgI0lmIetEJjidTjgcDkYk+/r6Stps3O12w+VyMXdKvo0DkN4WRg/4fD54vV709/ezOsZ86vm0hsvlgsPhYGY5PT09BZnG5CKfLCTTWVtby2reaK9ZW1vLSkREUWRZtEwKI6fTCafTqTpGPuibSqUwPDwMSZJkbpm5gtZGp9MJg8Ggeg3NZjPWrl0LYOYd27t3LxuPUh6qNSpk7v8o6uvrWQ0HmSBQjVd7ezvbJOdTTP3aa68xAhMIBGSRcmopMNsDTRMf9VvL9sLxboGAvDdJLBbD5OQky8JFIhGEw2FUVVXpMrGmUin09fXJokLFOG3lcrzBwUHZ+RcjpUgkEmzSUXMhnAugxQiYubalsoTm7ZN5ecf09DQjcUDhJFpLFEPkCDyho+drtt8yGo3YunUr+z4fXLBYLHjmmWfg9/vx+c9/Pu0anX322fj1r3+Nyy67DBs2bMD09DROP/10tLW1YWpqChs3bkQikUgjgUrQnMVfA75+yePx4Otf/zpuueUWmM1mrF69GmNjY9i5cycuvvhinHvuudiwYQPWr1+PG264AWNjY/jmN7+J888/XyanOffcc3HHHXfg7rvvxtlnny3LYH/jG9/AKaecgmuvvRaXXHIJHA4Ha63wgx/8gBFNg8Eg+978+fPR19eHJ598EitWrMBf//pXVpdH+OpXv4prrrkGRx11FFatWoWnn34aH374oaw/2I033ohvfetb8Hg8OPXUUxGPx/HOO+/A7/fjqquuynjvUqmU7FrxtXvlAo2rWDLH/145XC8NBgMsFossS1dMI/lc4fF44Ha7ZeSGMh00Lj2Ma1paWpgxSygUQigUKhmhIbt5ZQA4m2uz1qBM4ejoKMLhMAYGBsqq1iCzHMrSkWnMbFm6ZDKJiYkJ1R7DmeSThcDhcKC5uZm5jZMLL7WlGhkZQSKRYM8SoN5jURAEeL1eeL1eiKKIkZERtt+kADCplbI1D88EURRht9vhdDqxYMGCWYO2Xq8XK1euBFB8C5hcUCFz/0dRX1+PU045hW0oipnU/X4/3n77bYyOjsoyZC6XCyaTCXa7nfWBMxqNqllBippRkbJSnqgG2miSa5MkScyZkl66cDiMWCxWsDPlbFAjVWazmW3+tUYymcTAwIDs+indoPIFOZsCKGkz2HxBxiIul6tkRkFK8PIOZVsJv98Pt9utabQ/mhQA5LYQKPvIIQ/X5JnjHABtQOPxeM6EzuPxqDZyFgQBv/71r5kbpBKf/vSnce+99+KDDz7AunXr8POf/xxf/epXMTIygqqqKixfvhy///3vZdkxNfDPrZKY0Mb5+uuvh8lkwoYNGzA4OIjGxkZceumlAGY2Ff/1X/+F66+/HieeeKKsNQGP+fPnY+XKldi2bRvuvPNO2b8tXboUf/7zn/H9738fH//4xyFJEubNm4d/+Zd/kWUMiXDSmM866yxceeWVuO666xCPx3H66afjW9/6luz3zzvvPHR1deHmm29GLBbDOeecg8997nPMeAYALrnkEtjtdtx333245ZZb4HA4sGTJElxxxRUZr5vSMKDcmTgC36NPq3eqHK6XdFw+SyeKImKxWEmyg42NjUgmk+jr65NlOhoaGnQ7rs1mQ0dHB5P+DwwMlMwcJJFIMCLncrmY7LGUWUJgZl0mYw6qt9Kj4XmuyCVLV6x8slCYTCa0t7ejp6eHtQcgmSztpfjWSrTu2mw21NXVpa1NFLSg554QCARYKU5DQwOsVitrbJ4L/H4/gsEgAoEAdu/eDafTiRUrVsyalSzFfFpxs5wDKIebJQ/qjVPoorJ582aEw2G2KAIzG7vOzk7U1dXBbDZj//796O7uZvphHvRSDQwMyDaOszlbUhEzGaiMjY1p7kyZCWSTq2yYC+jjHkVF3jy0alhKGc5SL3b5gKJ2ehLlfMC7VtK7S8gnQ5rJzTIYBza+a8FkNLfnSOTeFYPBABSweFTbRKw/Mg43F0Dnydlskkv+s7zDX6nBZwX17PmVK/j6M4vFInOvLFZyd/bZZ6O+vh4///nPC/o+yQ556C0DzAeF2ufnimJdLwsZXzYHUzXk4maZK5T1RaWQHvJmUoC25iNK8CZUtD4q185SnDMPZT272+2WGUSVA2qmbEoUI58sFGTgRgGPqqqqtEC1KIpMlsmjpqYGbrc77T2iZ0LpC0Gw2+3w+Xx5G6PQGkdN7VeuXKl5QCgfblAhc3MA5SJzkiThvffew+DgIIsWrVmzJu8sTzgcRigUwujoKGpra9kDzr9UAwMD2Lp1K5LJZFpPO74tgtlshtfrhdFoVG0rQKirq2N1NJOTk3C5XBAEAcFgEF6vFy6XS5eIp5rRSH19PSwWC4sA8bKnYkFNUnloaaLCm8ZoOW4twWdq58oYyVGVl88opT25bBoykTlghtApM2ZqiMfjkP43e2cxF74Rt5kkGZEj5ELoeAMSvbMc2aDcnJdzLID8uvAkiW84myt5ikQi+MUvfoFTTjkFRqMRTzzxBH7wgx/gv//7v3HSSSflPTYlyeTr5eYKodObzAHp5Cqf7GQx41Oa9mQiklqSOWUPTAAl60c2Pj7Oen7N1kagEPDnpsw4SZKEwcFBNo+Vowebci0vlUGMGkRRTFNSAdrKJ4tBOByG3++H0WiE0WhkHghKqJnimUymtHp6vkSD2nFQr1keNTU1SCaTMiO9TCBHd5KCm0wmtLW1McdiLVAhcwcZ9CZzgUAA+/fvx/T0NBobG9HZ2YlYLIb3338f/f39mJychNlshtVqxdKlS3HYYYdpdmxRFLFv3z4MDAxgdHQ0a3NyMmBJJpNskaNoisFgQHNzM0ZHRxGLxVBVVcV69YmiiFAohNra2owmLcVC2aMGkC8IlN3SqjZAbZLSUqKhlB8QrFYrPB6PbtcxX2jRS05rUJbQZDKlNSoXRZHJmQDMatOdjczlApKKAfpuwLMROn5TWs5MGJ9lIoloOcfEXxe1jTp/73IhA9PT0zjvvPPw3nvvIRaLYeHChfjmN7+JT3/600WNjX9ulASv3O8bXaNSjEVNIjzbplYLsskTezUiqSWZo1o2t9sNm83GsjN6kCs1KNedYksEeKgF2JTgM1KlOmceZJVPz00hDcuLQTKZxODgoCwbzwfTS9VWIhckEgnmChoOh2WeCEqQx4KShCkdvamOThRFmM1m5jCcLXGQDUajEU6nk+3bjUZjQYG1TKiQuYMMepK5ffv24aOPPkIwGITNZkNNTQ1OOOEEvPLKKxgYGEAsFoPJZEJVVRUaGxuxZMkSTRZOkiHu2rVL1aJ/NhCJM5lMrHiZ0uXkKJRMJhGNRpkUQC8SNzExwSKKgHrUjyKCxWaOlPIHIrFaRcpEUcTg4GBWG3cegiCwQvpSR+t4QlvKxqfZkGuWUFlPlykKWwyZKxWRI6gROn7zr3f9TzYoiRzNH+UidLMROUK+hE7rsak9N3OF0CnJVanGko/0UqvMofJc+WNqSebIlIPUHbwsEdCvdY4SU1NTMtfBYuf3wcFBxGIxGI1GtLW1Zf2s8pzL4TZJpJqgt/RTeTxAHozmpbDZ+hOWGnSvXC4XIpEIRFFUzbzxiMfjGBkZSav7I3kvvx+lube2thYul0uVEM4Gg8HA6vhPOukkTe9jhcwdZNCTzO3cuRO7du2Cw+FAS0sLDjvsMBgMBgwMDOD999+H2WyG2+3GsmXLMDw8jN27d8Nut2PdunUFHzMUCuH111/H1NRU3iSOwPeIE0URfr8f0WiUaeBTqRSTdOoFsnQmZIpakXykGPdKpUTPbDajsbFRs4lBkiSMjo6m6cyp3wshmUyyAt9MU4PdbofH49GNQAPyGsFyFo3zyDdLSA3YaeOsVitRKJkrNZEjKDedhHJu+tWIHIEfb6nIZq5EjkCEoBR1hrmOrdyETll/WepnPVfppdYyUP5ZpmMmEgnNyBxlr5SBKF5uX6raaSWpKtQNmHe9zke9wcs+y9FSRrk+6JEV49csQibCrpTgzpUAKu1d6J3kA9GZ6uToe2qulQ6HA3a7nf09v8+xWCyor6+HJEkYHh5WNYJRA+1X161bp2kwpELmDjLoSeaoAaPX62UvJhV6VldXM5nivn37sGvXLoyOjqK5uRmnn356Qcfbv38/9uzZwxou5wubzYb6+nqW+p+YmEA8HmdNdg0Gg27OlATlBDhb821aIAuRASoJo9VqRUNDg6aTqLLFQ21tLSOOs03YkiQhEokgEAhk7BdoNBpZ9k6LcfMNuLUyeSkWxWQJlVFRnpwWQuaUtv/l3GiXawyEbESOkC+5KgaFkEf+O3pa1uc7tnIROn6cJHUsVwZ4NumlHjV9ymNSb009yRyQblRSKqMQ3qUQyK+WjFeyFLL+Ks+5HARGWVJR7HUnExE+kJ5PcJjv26unWU2+CAaDCAaDrPUUD6vVivr6+oznl0qlMDo6mlevN8rWZeqvpwTJNlevXq1ZPWaFzB1kKJUBSiqVwj/+8Q90dXUhHA6joaEBxx13HF599VUMDg4iGo3C6/XC5/NhzZo1ef92f38/PvjgA5m8LFc4HA7U1dVBEATmVkTuhYlEAlarFdXV1bouLspFJVOTSh4kp7PZbKx/z2xQk27y568VlOdDkb+enh6IolhwX7pEIoFAICAbvxKkI893k5OtiL1c4Bf8QrOEFOmjxYTut9FozIvM8YtYqWR52cYAlK8mLRciR5hNWqgFiskC6k3oCpWclprQZbsO5ZT0ZpJe6mnQQsekBty52qdnAs2tSjWG8jO8UUgxvUvzHVt/fz+7xrk4PvLzcjFmIpIkoa+vj80laj3M9IZyDIWsfalUCkNDQ7LMVS57GDXwSqG5VEdHfV7NZjOre1Oqv2a7f8oSCALtMZVyVIvFAp/Pl+Z0aTabWU/kWCyGVCoFk8mExsZGrFq1SpP3pkLmDjKUiszt2LEDu3btYjVnq1atgt1ux44dO7Bv3z44HA4cccQRBckN9uzZg+3btyMWi+WdkaOIGjV6TCaTMJlMSCQScLlcsqyiHlC+3Ha7HfX19TlNgBTpzCWip2aiUuhkmw3KTJDT6WRuUPy5auUMKUkSQqFQWqN4HmazGR6PB06nM+t1ous5V9okaJ0lVEaCW1tbUVtbOyuZU0bry0Hk1DJypZYwEvIhcgQ9iYkW9XlqGam5MLZSErrZJKelzLIqoSa9pL/X632UJAnhcBh9fX3Yu3cvXC5XwZtEygDlQpT4dcJgMKCtra0kmVlllipT8Iyfl7XKHvEExmq1lqXnqrJmPpd9hZrjtRaB0LlaR5dKpdDX1we73Y5IJIKamhqYzeY0ExOn04na2tqM14+UX0oySNJNZcBdCbPZDIfDAa/XC0EQWAbPaDSisbERxx57bEGyYR4VMneQoVRkLhKJoL+/H62trWmb0ng8XlC9RiqVwt69e9HV1YWhoaG8O92TwcnQ0BBEUWRullVVVRm10FpBSXrylTjyzlzZiBGRVD7Fn82ZqVAo++mYzWY0NTWx8+GzXnpLaGKxGAKBQNZostvthsfjYYs1OYLOxV5yWkeoyUjFarVi4cKF6OzszLghnGtEjt9ol2NzXYitP0EPYqKl0YrWhE6r3ysFocvVDKachA5QrxvVk+TG43F0dXVh9+7djOwWIgccGRlBJBLJ2fCjXOYoShWDMriq57zMk0SgPO0DyEafN+dQO0el8gbQXhY5l+vo+vr6YDabEY/HIYoi7HY7KyFRthyY7bqoEWKSbpIDqBrMZjNsNhvrE5lIJBAMBmE0GtHQ0ACPx4Ojjz664GeoQuYOMuhB5mjB0XvyHRwcxNatW1mNGUUr8tH3GwwGlpmrra2F0+nUPfrLv5wmkwnNzc15T1JkUZ9pkVNrLK6HdJAkrvz1VluEBgYGEI/HS26HDMxcCzJWma0Z/FzoJccvYno1eU0mkxgdHcWCBQvQ2toKh8OR9gzOhUbcs42hFBJGQjFEjlBIVi8T9HDM1Oo3tZZu6kno8r2vc6EdBn899Hw3yc1yamoK3d3dbJOfr2FItnq5bOBrrrPZ/muNTM3G6Tz0bL5NxBco3JilWCjJWnt7OwRBSMsYGY1GNDU16Uo6+Tq6UpH62UC1gbFYDKIoyvYVjY2NSCaTaWR3tiA6kWglLaqvr2emKWrZOr69Aw9SIy1evHhWl1U1EDc45phj8Je//CWraq5C5uYAtCRz9IDv3LkTgUAA69at0zXbt3//frz99tuIx+MZDTKygZzKSqFTV2auDAYDWlpaCpZEZWpHQAYz/OSiR5NSZQQTyGyzzBPYuUKWYrEYpqam0qJopDsvZ+PS3t5epFIpWCwWNDc363Ycg8EAp9OJ5uZm5pZH/5sKhBCfmlk4BEGAWWciJ9isMHjkPZ9yJQSlyNxoQeTOOussLFu2DLfddlvBv0W/ceedd+oiiwS0IXSzSRbXr1+PqakpPPbYYzn/ZiH3eenSpbj88stx5ZVXqv57oeS6VIRuw4YNeOaZZ/Dqq6/K/l5tvdPj2Ve2JlBK8XJVWRRK5oD0tbNU5iiAvB0MoRTqDaVypxx9TpXZUR561Nlnw1ytowuFQsygRBkorqqqgsvlwvDwsKwERBAEtuYqQa2b1MiZw+GAz+eT9cCj8hU1GI1G1NbWwufz4cgjj8w74EPcwOFwIJFI4I477sC1116r+tkKmZsD0IrMSZKEv//97+jr60MoFEJ1dTWOO+44XS13h4eH8fe//x2xWAzJZBI2mw02m41lYJQbdSVKQeLUGmQXK58gK2d+UkskEhgYGJBFdfQ4PzUDlWzH4YnnXLH5J/Bjq6qqkjl7AuVx0+KjsnoTX3KzVEbtDNMxhO9/DNJkgH1ObxhqvHBedQEjdLNJ9NavX49HH30Ul156Ke69917ZRv+GG27AQw89hM997nPYuHGj7HtvvvkmzjjjDJx66ql48skn08bxxz/+Effccw92794NURTR2tqKE044AbfddhsA4IknnsANN9wgk0MRPB4PHn30UXzyk59UPceJiQnWjqXQHm9E5r7//e9nvDZaoBhDFTo3QRAwODiIZcuWYcuWLVi+fDn7zNTUFCRJyntTlonQbdq0Cd/+9rfT7svY2BgcDofq/FRsEKAUvQRDoRBisZgsC8RfX5J6EbQmdGp95pSGGbOpLWieNRgMaG9vL2gcyobXpTSoUq7hpZI/KmWG5ViP1PYv5SCWwNyto4vH4xgcHGTvIx/oAQ60HJiYmEgjXnV1dXA4HLLz6O3thSRJWdVlTU1N7JikLMsEm82G6upqrFy5Mi8vAOIGo6Oj+OpXv4qnn34aK1euxN///ve0z5Yv9F2B5uD7cSxatAgLFy7UXU7ndrvhcDjQ1NTEpHShUAjT09OzyukA6Erk1OSHWjUIpZ48Xq83TQ4C6DfpK9sm5LKgktTA6XTOKSIHgC2UJGWpqqqSZREpMlqqjYPf72eTfSbHNz1A2RPa3CaD4RkiZ7XA5NLfWU2ajkKcmIIUjQEeZ861Vq2trXjqqadwxx13wG63M8OGJ554IqOs5JFHHsFXv/pVPPLIIxgcHERTUxP7txdffBFf+MIXcOutt+Kss84CAHz44Yd44YUXABS/UeYDWxaLhW1M860ZprlNLyIHyPuMkbNvLoRO2YMwEwqVjhFhSiaT7LpluyeZNi+iKBadzaX3Jh6PI5lMQpIk1spAEARNgiAul0umqkgkEmnX12q1suueyzUpFoIgoK2tjRmGTE1NYWpqKiPJoaBqMeoQQRDQ1NTEzFEmJiYwOTnJ5H96QnlOfX19uqhdlBAEAZ2dnazJ+dDQEBwOB+rr63U9LoHPhtlsNqbC6e/vR0tLS8mJlMViQXt7O3p6epBIJNDd3T0n6ugsFgtaW1vR29vL3sPW1lYEg0FMTU0hHo8zQkyJEwJluXnDlLa2NoyPjyMcDqvKLgGwPUqmf+cRjUYxODiIN998E6tWrcrb3M1iseCpp57C66+/jjfffFP1M+WvZKxAMxgMBhx77LFYt24djj32WNTU1Oj+sjscDpx00kmIxWIYGhpCf38/xsfHcyJyeoH68vT29jIi19TUhM7OTk2IHJ9t7O7ulhG55uZmdHZ2ak7kIpEIurq6GJFzu93o6OiYleAkEglmQjIX3CF58BMqv7G0Wq3o7OxEW1sbI58TExPo6urC2NhY3iY7uSIcDrPMYCk2KGpQLoqC3QrBadf/P/uB51UURVm2IxtZOeKII9DS0oI//OEP7PN//vOf0draiqVLl6Z9PhQK4emnn8aXvvQlnH766di0aZPs35999lmsXr0aX/va15gxzJlnnom77rpLkw3yWWedheuvv579eeXKlbjnnntw9dVXo6mpCYsXL8bDDz+c8ft8tNZgMMBkMmFychJf+cpX0N7ejoaGBnzmM5/B3r172efnzZuH3//+9+w31q5di4ULF7I/v/766/D5fKpSHZK2PvLIIzjmmGNQV1eHlStX4uc//zn7zBVXXIE1a9YgFoshkUggFovhpJNOwtVXXw0AWLZsGQAwyT2R5PXr1+OCCy6QXZtvfvObuOWWW9De3o4FCxZgw4YNsvH4/X587Wtfw6JFi9Da2orjjz8ef/rTn/Dyyy/j8ssvZ+oSj8fDvrt06VL8x3/8B/uN3t5enHfeeWhubsa8efPw5S9/WSYb3LBhA9auXYvHHnsMS5cuRWtrK77whS9kdJYTBAFPPPEE5s+fj2eeeQZHH300fD4fent7EYvFcNNNN+HQQw9FY2MjTjrpJLzyyiuy7//yl7/E4YcfjoaGBnzuc5/DT37yE1kggsYDzMynyWQSd999N4444gj4fD6sXbsWzz33HCwWCwwGA3p6euD1evHf//3f+MQnPsFaAPGbsJ6eHpx77rlob29nznd//etfVc8vG+x2Ozo6Oti61tfXl1YnBIBdOy3MQhwOB8vuUeYqn/5dhYDWMGrODMwEKQtpg1QIvF4vWltbARxYi/Xc41DmlYhcQ0MDGhsbWYAxmUyiu7u76L6DhcBgMMj2OD09PQWV2GgJUivR/wdm3oWpqSk0NjbK2kbx+w4e4XAYPT096O7uRjweZ33mKPOmBUZHR/HWW2/Jsr35YM2aNfj617+u+m8VMvdPBp/Pl7OtvlaYnp7G5OQkxsbGZL14Sg3qkUNRI2BmEszmFFgIlBa4wIx8USuyyIOczGjRstls6OjoyLmdAdU5NDU1zQk5BCGZTDKde6YMmNFoREtLCzo6OlgENhQKobu7G/39/ZouptS/BpjJNpUj0qisTyOUcsGWCqhDuuiii2Sk7LHHHmMkQXmP/uu//gsLFy7EwoULcd555+GRRx6RkfOGhgbs2LEDH330EXMpA/Q1VnnwwQdx5JFH4vnnn8ell16Kb3zjG9izZ0/a55RGMBRouPzyy/HOO+/gt7/9LTZv3gxJkvDZz34WiUQCgiBg7dq1jEBMTk5i165diEaj2L17NwBgy5YtWLFiRUaVwhNPPIG77roLN954I1599VXceuutuO2229g1v+uuuxAOh3HLLbdAFEVs2LABgUAAd999NwCwrOYf/vAH7NmzB7/5zW8yXovHHnsMDocDzz//PL7//e/jBz/4AZ5//nkAM8/hv/7rv+KNN97Az3/+c7z11lv4zne+A4PBgKOOOgp33nknPB4P9uzZgz179uCaa65J+31RFHH++edjYmICf/jDH/D73/8e3d3d+MIXviD73P79+/HMM8/g8ccfx+OPP45XX30V99xzT8ZxC4KA6elp3Hfffbjnnnvw6quvoq6uDtdddx3eeustPPzww3jttddwzjnnyMj2G2+8ga9//eu4/PLLsWXLFpx00kn44Q9/qHoMakvws5/9DA8++CBuu+02vP766zjllFNw/vnnY+/evTCbzeyd+f73v4+rr74aW7ZswYIFC3DZZZex9fHaa69FLBbDs88+i9dffx3f+973Cs4yUf0PbVhDoRC6urpkMjMKQGqlzKANPUl0h4aGdCVWNDc3NjbCbrczsk3EqhRzpMlkQkdHByMxvb29Wa3rCwVlvOhZaW9vZ+7jlCnkiVS+raC0QmNjI5MeDw4OppVIlAIkQe7u7maEnwz0aA0dGhrC0NAQqqur0d7erhpodzgc7FwkScLAwAC6urpgMpnYM67V+jMyMoIPP/wwp0bk+aAis6ygYMTjcbz66quIRCJleZEJJC/lI9t1dXVwOp1ZvpU/lNp1o9GI5uZmXeo01I7V0tKSF8mgSJXVap0T7lM86Nxy6eUjCAJ8Ph98Ph+TmSYSCVabU6y7ViqVYpKJchmv8Nkwo9EI4X8ldRIOZIP0JpiSJCGRSMCA/Gq0zj//fHzve99jhfpvvPEGHn74YWYYwUsYf/3rX+O8884DAJx22mm44oorsGXLFhx//PEAgK9+9at47bXXsHr1arS1tWHlypU49dRTcd5558nu8dTUlEyeWQxOP/10rF+/HvF4HFdddRUefPBBvPzyy7LsmZLI0bXZu3cv/vznP+O5557DqlWrAAAPPfQQFi9ejD/96U8455xzsG7dOpbte+2117B8+XI0NDTglVdewaJFi7BlyxasW7cu4/g2bNiA22+/Heeccw4SiQQ6Ojpw5ZVX4uGHH8aFF14Il8uFn/70p/jkJz8Jp9OJn/70p3jmmWdY1p4y8jU1NSyrkQlLlizBDTfcAABYsGABfvazn+Gll17CySefjBdeeAHbtm3D1q1b2bWZN28eMzChupNsx3jhhRfw0UcfYdu2bejs7ITBYMBPf/pTHHvssdi2bRtWrlwJYOZ9ePDBB1km6fzzz8eLL76IW2+9NeNvJxIJ3HPPPTj00EMBzLj3/uY3v8FHH33EnpVrrrkGmzdvxqZNm/Cd73wHGzduxGmnncaI58KFC/Hmm2+mZckkSWKBiQceeABf//rX8dnPfhbADGl7+eWX8cADD+BHP/oRWw+uuOIKnHTSSTCbzbjxxhtx7LHHYt++fVi0aBH6+vrw6U9/GkuWLGHXsVhQoG9kZATT09Po7+9nJhl6gQwm+vr6GLHSup6NzE+sVit774xGIzo6OjAwMIBEIoGenh7NSiiyQRAENDY2Mqnp+Pg4/H4/WltbNdnsk5wTyN5rtbGxkX12YGCgJJJTNbjdblitVgwMDMDv9yMcDpekjo6XnxKU14BMT1KpFCRJwuTkJCYnJ2G329He3o5QKMT2SJFIBJFIBHV1dbBYLBgaGkIqlZKVtORzTmTsp/z/hJGREbzxxhtYs2aNZkYyFTJXQUEIBoN47bXXMDExUXCKvdjJh5w7eaerUrlG6kEWgZlNDLkpEQoxLUmlUqyuj5cYzAVQZtNut+ctRyUJF+80RkSskJ5DkiQxUujz+Upe3E5joP56lA2jfJbRaISIA7p8vRZJXvefr9mGz+fDGWecgU2bNkGSJJxxxhmyZq1EEru6urBt2zY8+uijAGYi3Z/5zGfw61//mpE5p9OJRx99FPv27cOWLVvwzjvv4Oabb8bGjRuxefNmlr1yu914+eWX08Zy1FFH5X3uS5culdVe1dfXy7IMSiLH34Pdu3fDZDLh6KOPZn9XW1uLhQsXYteuXQBm5I3XX389xsbGGHGtr6/HK6+8gosvvhhvvvkmvva1r6mOLRwOY//+/bjqqqsY4SBiQWQtlUphxYoVuOKKK/Dv//7v+MY3voE1a9bkfR0AMHJBaGxsZFmR999/Hy0tLTKSC8jrmbI9p5Ik4aOPPmLZdno+DjvsMFRVVWHXrl2MzLW3t8ve5YaGBlX5IA+LxcIkpfF4HB988AG7NjxisRirndy7d2+aWc7KlStlZI5/N6j2ZfXq1bLvrF69Gh988IHs78hsJpFIsBqr0dFRLFq0COvXr8c3vvENPP/88zjxxBNx9tlnq8qS8wWRaarjjkQiTNKll/skZayIRPb19Wlq50/3XbmOCYKAlpYWGakpVW01SU17enqQSqXQ3d1dVFCR1iHKMOZSc+/1emG1WjE0NISxsTFEo9GylFKUqo5OFEWMjY3JgvYGgwFNTU2q+yOaM2KxGFKpFGw2GyKRCKanp9HT08OeH8rEAQcywB6PB9XV1TKjOZrXMpV5OJ1Odv/pc8FgEFarFTabDdPT04jH4zAajZAkCdFoFG+//TZOOukkTdb1CpmroCBQfUZVVRWGh4dht9tRXV2NwcFB1vh7NhQaRaMoC5EVQL9eMErDEYLWRE4tu1iMiQoRlIaGhjklr5yenmaSn9myBNlgs9nQ2dmJZDKJoaEhJJNJjI+PY3x8HC6XKycZKu9U5vF4yhLZDIfDTEKTiUQZjUakUimWndP6fvJ1YIU2Yb7ooovwzW9+EwCYvA84sIEURRG//OUvkUwmsWjRItmxrVYr7r77bmYmRHVmhx56KARBwDe/+U2sWLECTz/9NC666CIAM4v4/PnzCz5nHkRGeAt/ktQZDIai+/wtWbIE1dXV2LJlC1599VXccsstaGhowL333ou3334biUSCZfWUIOnQfffdxwgjGYfQc0Fj/fvf/w6j0Yh9+/blPUaCclPEu7Rlm4tMJhN7bjIZgPBysNmIRbZxZALZhAMza0s4HIbRaMTmzZvTxp7ruy6Kokzqm0/g0mq1MgMbWg/pty655BKccsop+Otf/4rnn38eP/rRj3D77bdj/fr1Of9+NlgsFnR2dmJ0dJQ9Q3qCSCQZslAWpFjXRdpI8/dWCa/XC5vNhsHBQUxMTCAUCpWkrICkpuRsPTg4WFDvO6WBWj5EyGazoa2tDb29vQiFQohEImhrayv5mk/XYmhoCNFoFD09PZr1o1MzmMt1jff5fJiYmEA0GkUsFkNzczMSiQQzCqQylLq6OlndbiAQQCAQgNVqRVtbG2KxGEZGRrLW68diMbhcLkayOzs7sX37diSTSTgcDixatAi9vb0Ih8MQRREulwvLli3T7F4ddDVz/f39uOiii1BbWwu73Y5ly5bJbDolScKtt96KpqYm2O12nHrqqWn1D6+//jqOPPJIdHZ24j//8z9l/zYxMYELL7wQHo8HVVVVuOyyy9J6nGzfvh3HH388e5Huuusu2b9/97vfTasB+GeD1+tFc3Mzk544nU7E4/G8ZIeFbJ6pcSrvJtnZ2ak5kaNaNSJyVVVVTK6iNZGbnJxEd3c3I3I+n68oExW6NkajkRGFuQDKcAJgxeTFwmQyobW1FR0dHey+UF2dstefEiQLtNlsurbvyAS/38/kyfxmWA08KdLSAIbfrBoMBggFRlNPO+00xONxJBIJnHrqqbJ/s1gsSCaT+O1vf4vbbrsNr776KvvvtddeQ2NjI5588sk0F0Za5Do6OuBwOEq2KaXjkpkIfx5KLFq0CMlkUrYGjY+PY8+ePTjssMPYbx533HF45plnsGPHDqxZswZLly5FLBbDL37xCxx11FEZ55T6+no0NTWhq6sL8+fPx/z581nNYUdHByMJDz74IHbv3o1nn30WmzdvltXF0biLrTFdunQp+vv7VesJgZn3iJ4l/l4CYOM89NBD0d/fL5OQ79y5E36/n10vLSAIAlauXIlUKoXR0VG0tbWx6zd//nwWSFqwYAHefvtt2Xfpz5RRpt8TBAEejwdNTU144403ZN954403mLyTh7I3I09IW1tbcdlll2HTpk24+uqr8atf/Uqbk+fAz/+pVEp3wxAyZCF0d3fP2p4oG0hKN5t7pNVqZaYs8Xi8pOYgNTU1rBdpMBjMq4bP7/czouLxeJj0OB+Q5BSYeb7KZYwCpNfRZTIbyQWBQABdXV0yIldXV4fOzk74fL6cSVBNTQ2cTidMJhNGRkYwOjqK+vp6mRsoT+R4xGIx9Pb2YmRkBE1NTWhra8t4f6hJeVdXF0ZHR2EwGHDSSSfhlFNOwdq1a7Fo0SKcfPLJ8Pl8LNj0j3/8I8+rkhkHVWZucnISa9euxUknnYRnn30WdXV12LNnj8x+/6677sJ9992HX/3qV5g3bx5uueUWnHHGGfjoo4/Y5viyyy7D//f//X9oamrCxRdfjNNPP50V1F544YUYHBzEc889h0QigS9+8Yv4yle+wqRBgUAAp59+Ok499VRs3LgR77//Pi699FJUVVXhK1/5SukvShmQSqXw6quvyqJ+4+Pj7MUQBAEOhyNjI0VCPpOWUiPtdrt1cesURREDAwMyy2yK8lHT1Xwjb5kQCoVk0iEtGnGKosgIqFaESSvwbQi0rksTBAF1dXWoq6tjspt4PM4ylMp6iqGhISabKIcMlRrhWq3WWYkcwWAwMPKlRYaOJ4Yk5ywURqMRW7duZf+fhyAIeP755zE1NYULLrhAJsEEgLPPPhu/+tWvcNFFF+Guu+5CLBbDGWecgba2NkxNTWHjxo1IJBI4+eSTixhh7lCztM8UYV6wYAE+8YlP4Oqrr8aPf/xjuFwufOc730FTUxM+8YlPsM+tW7cON910E4466igWxFq7di0ef/zxjBJLwo033ohvfetb8Hg8OPXUUxGPx7Ft2zZMTEzg8ssvx/bt27FhwwY88sgjWL16NTZs2IDrr78ea9euxbx581BXVwe73Y7NmzejpaUFVqu1oODXunXrsHbtWnz+85/Hhg0bcMghh2D37t0QBAGnnXYaOjo6EAqFsGXLFhx++OGw2+2oqqqS1Y6cdtppWLJkCb70pS/hzjvvRDKZxLXXXot169alySGLxcKFC3Huuefiqquuwve+9z0sW7YMgUAAL730EpYsWYKPf/zjWL9+PT7+8Y/jJz/5CT7+8Y/j5ZdfxnPPPQcAMjMi/l275pprcMcdd2DevHlYvnw5fvOb3+D999/HQw89pDoOntBRJvWmm27CaaedhgULFsDv9+Pll19WJYPFYHp6mq0vLS0t6O/vRyQSQV9fn65rg9LOn5Q7+RqzERFQ9gDLBLXsUKn6wlkslrQavmylGJIkoaenh70bxWax6JpTj9RS1RCqga+jm5ycRCgUyrmOThRFjI6OygIARqMRjY2NRZn30HwXiUQgCAILalRXV8PtdqcdUw1UzuHz+WAymWQN5Qk0t6ZSKbzzzjs4+eSTZWsJBfbi8Tg++ugjTWplCQdVZu4HP/gB2tra8PDDD+PYY4/FvHnzcPrppzO5jSRJuPfee3HzzTfj7LPPxvLly/HrX/8aAwMDMmvocDiMFStW4IgjjkB1dTVL5e/YsQN/+ctf8NBDD2HVqlVYt24d7r//fvz2t79l0YFNmzYhHo/jF7/4BZYsWYLzzz8f11xzDX70ox+V/HqUA6Io4oUXXsDw8LAsUk5SLVEUYbVaZyVyuSIcDqOrq4sROYfDkZebYz6YnJxET08PI3ItLS1sEuKj2sVqwaPRKLPZB2YyfR0dHZoUwvL1X3NJXkkLsyAIushheVC2lpdxkjtVKBTC5OQkq38stIFuMRgaGmLZ/tlMPKTpKKTwNKTwNBCJQpiOQQpPIxUMs78v5L9UMAwxFIEUnoYhGoc0Xby1ONUzquGRRx7BiSeeCI/Hg0QiIYscn3nmmXj33Xfx4Ycf4mMf+xi6u7vx1a9+FUcffTT+9V//FcPDw/j973+fVqulJ5SR7WyR7gceeABHHnkkzj33XJx66qmQJAlPPvmkbPOxbt06pFIpVhvI/1028xNgRpJ3//33Y9OmTVizZg3OPPNMbNq0Ce3t7YjFYrjiiitw/vnn4+Mf/zgA4Itf/CKOP/54fOUrX0EqlYLJZMJdd92Fhx9+GIsWLZK1I8gXjzzyCFasWIFLL70Uxx57LG699VY2N65atQqXXXYZLrvsMhx22GH4yU9+otpM+7HHHkNVVRXOPPNMnH322ejs7MQvf/nLgseUDQ8++CAuuOACfOc738GaNWtwwQUXYNu2bSx4u3r1atx77734yU9+grVr12Lz5s244oor2MbaZDKlzaOXX345rrzyStx0001YvXo1Nm/ejN/+9rdYsGBBxnHwv5FKpZBIJHDttdfimGOOwWc+8xksWLAA//7v/67ZecdiMaaCaG5uhtlsltnad3V16dbihcDb+U9PT8scGnMBGYHka+DCZ4eGhoY0dw3MBKrBorq10dFRDAwMpF1nyhzS33d0dGhmUFZfX89UJgMDA7q4beYCqqMDDrhzZptDY7EYurq60NPTw0gVtV/iWxQVA6/XC7fbDYPBwEgu7fkou5lLX+axsTEMDQ2pEmVqVu5wONLqanlYLBYceeSRmu6FBEnvN1pDLF68GGeccQb6+vrw0ksvoaWlBVdccQW+/OUvAwD27duH+fPn45133sGRRx7JvnfCCSfgyCOPxI9//GMAwH/+53/iyiuvRDKZxOWXX477778fAPCLX/wC1157rezlTyaTsNlseOKJJ3DOOefg4osvRiAQkJHDF154ASeffDImJiZQXV2N7373u+jq6sp5gaIu79SjZy4jEongb3/7G4LBoKx5ajZQMajVakVjYyPL0HR2dmb8DmnvCTabTbf6L+Wx1ExUKNrX0NBQsHQxkUgwjTYw80I3NjZqVig8PDzMJsJiaxW0BO/MWY5xJZNJDA4OpsnMytHstKenhy1qHR0dMBqNcLvdaG9vly0OYiCM8E8egziRLlPhDRkKGT+/qPLfN9R44bzqAhg82hv78Mcm6RoZjhD0brScC3izEwCs5on+f7mb41Jmhx8PuUkCc+MaEpQS1XKPK5OMl4ckSbjyyiuxZ88ePPvss5orCJRmOrlkTsh+PRgM5iSf49cZtcxUX1+fzPa+FM80ZYyA3BQoJEF3Op0Fu3Hy14EaQZfqGUylUiywChwwMZucnGSBTa/XmxN5KASxWIxlkoq5hlqA9k6APAMpSRICgUAa2a6vr8/YpkULhMNhVorCz53AgT6GiURCNfOWK8hF9oQTTijq/cqHGxxUMst9+/bhwQcfxL/927/hxhtvxNatW3HNNdfAYrHgkksuYRdfaazQ0NAguzGXXXYZzj//fMTjcdnLNDQ0lKbNNplMqKmpYd8fGhpKS43S8aiXxXe/+13NznmuwWw2w+FwwGKxsMkiE2jilCQJbW1tMmOUTNIHfhICtCc8PJQTLr2AahM+TUaFELlUKoX+/n7ZQkzXQwso2xgABySNNTU1cLvdZdtIUfNTILc2BHrAZDKhra2NSRv5sZUKvNkKMDupNXiccF51AaSouuGCyG/q89goJ7gNrfJ7gs2qK5EDDkjOEomEjDTNhdYZmTbaNN5EIlFWQscTOZ6MUPYomUxmNB8pNZRGIXNhXBQ8oPtM47nvvvtw0kknwW634y9/+Qt+97vf4Yc//KEuLUp411RJkhCLxTS9LrTWADMZLbV1trW1lQX+enp6NF2LMqG+vp45EBNRy0QkJUlitcTFuDNSNpKyQt3d3Zq3TcgEo9GIzs5OtubwQVwgXfavNci4gww3IpEI2tvby/L+NTY2sjKZwcFBeDwexONxmTu42WxGQ0NDSe4N9aGbmpqC2WxGTU0Na0OgLM0YHh4uqNY4EolgdHQUO3bswOLFi0ty3Q8qMieKIo4++mhs2LABwIwN9QcffICNGzfikksuyeu3nE6nLtby/+wYGRlBOBxWdXjkQdk4ymRRGwFK+ys3b0rHIj17uEmShLGxMZlMNNuCxjejzPc4ypYGWk7iag6YNpsNFouFRZ4mJibYvaqurobH4ynphE4ZT4fDURbbfwIfHayqqoLf70dvb29JItOiKDKzFbPZjJaWlpy+Z/A4gQzkyghA+N+oYgqzZz5oAyvACSGHz+sJ5XHLUdehhLJhOy/r4QloIpHIuZm6lshE5Ag0HiJ05SKdysymxWJh7pvlHBc/HpL5EqHbtm0b7r33XoRCIXR0dOCOO+7ApZdeqtsYeEIHaEd0RVFkG1EyfciEhoYG5sLY29tbUPubfEF98KhWrKenRzULQ0TO5XIVfU2oloxIVV9fn+6ZHx4+nw9ut1sWoC6VOoWkg3S9u7u7S0Lc1eB2u1kCgHchpxYApV6LqA7T7/cjFAphenoaLS0tSCaTbM+idNDMF5FIBB999BH8fj+OO+44CILAAoJ64KAic01NTVi8eLHs7w4//HA89dRTAA70IRkeHpbVogwPD8tkl5nQ2NiY5vaUTCYxMTHBfruxsVEmyaPf548/G7Zu3Yp77rkHH374IXp7e8vacDtfjI+P52TPXFtby6SK4XA4zS2IeggppYekO9crQqMcSy6ySfp8rsYnkiTJ+pPkepx8QE1LlSApak1NDSRJwtTUFHu+yC4amJF4VFVV6TqJTk9PMwI1mxuZXlD276GFVBRFBAIB9PT06Lq48tlfh8Oh6XUwmUysVjXbhlC5wS5nFkw5FqD8WZtsRI7AEzoiVaXaFOUqo+QJXTmyiJmes3KPSwm6j/Te/PKXv2QlA4W2n8gXgiDAarWqZgoLAZEjYGZuz6Vco6amBmazGePj4+jv7y+JWYggCOjo6GAtf0ZGRlj5BQWASYaoldEYMEOqHA4HRkZGMDIykrUht9ZQrtPd3d0lI3R0vcmsrre3V7OWAfmAd24m2O32srhI88cXBIE1Eqd9aFNTEwwGg2q9Y76Ix+MYGxvD22+/jbq6OuzYsQMWiwVr1qzJ612rqqqC1+tFS0sLDj30UFx33XVpvUQPKgOUtWvXskashN27d7PC3nnz5qGxsRF/+9vf2L8HAgG8+eabOTVRXbNmDfx+P7Zt28b+7vnnn4coiqwP0Jo1a/Dyyy/Lmjo/99xzOPTQQ3PWP//973/H//zP/8BkMuFTn/rUnDdPiUQiiMVi8Pv9GB0dTduM8aCiVZfLxRoFZ7J97e7ulhE5aiarB5FTjsXtdqOzs3NWgpWv8UkgEEB3dzcjcjU1NTkdJ1eIooiuri62QLjdbkaMlXJKQRBQVVWFzs7OtOJeavFA7Re0tjIWRVHzNgT5gqKRSiIHzNwXis7yxehaIpFIMCLn8Xh0IbRms5mdk9p7qZQOzhUiZzAYmJMnMDP2cthp82MyGo1Zo6Z84byy1kIv5FsPx5+D0mhGT8z2nJVrXJnAE0plLV0pYbFYVMeRD3gJt9PpzKsOy+12s3lpaGioJO0/gJn5kExoYrEYuru7kUgkWLBRDwWJw+Fga1EoFCqJCczY2Bh7fzs6Oti91mvNyYS6ujpZywA+O6YnyOyNiFxNTQ3br09PTxdVl6YFbDYbqqurkUql2B5tcHAQ/f39qK+vR1tbW1FzgiAIbI2j4PnQ0BBeeeUVhMNhBIPBnJ6DH//4xzjnnHPgcDiwZcsWvP/+++nHOpgMULZu3YrjjjsO3/ve93Duuefirbfewpe//GX87Gc/w4UXXghgxvHyzjvvlLUm2L59u6w1QTaceeaZGB4eZnbYX/ziF3H00Uez1gRTU1M49NBDcfrpp+P666/HBx98gEsvvRT33HNPwa0J5qIBCjUpfu211xAKhZhcZnR0FKlUSvUB5LMeFCXMBXrqxyVJwtDQEMsmGo1GtLS05BwZztX4RJkp06N1Al88DYD1PKGFPNdonyRJCAaDqlJZt9uN6urqoiPn1MahpqamLM80/wxaLBbWB0iJ/v5+JBIJGAwGTZ0t+drPbNfAYDCoGqAUcjxAXuuVS8apVMg2Ft4UpZRZGyWRyzWIVOj38gVPevLN2pTymubznPHjKodcVYm5YtKSjbTPZoBCc63Vap3VHTcT+DIHLVrk5AO1xuZ6Zq6Uag29JKZ8OyX+fHjJf6llj/x91lopwkPpR6A0sOMDEMU8t1ohFothfHwcRqMxrUWBz+eD0+nE+Ph4Ws9pHi6XCwaDAdFoVBbYqq+vx5FHHommpiYMDw/jnXfewfj4ODNaoUDXkUcemRaIyYcbHFRkDgD+9Kc/4YYbbsCePXswb948/Nu//RtzswRmHpLvfOc7+NnPfga/349169bhgQcewKJFi3L6/YmJCVx11VX44x//CIPBgH/913/FfffdJ3M33L59O6688kps3boVPp8PV199Na6//vqCz2kukTl6yfbs2YN4PI7p6Wm43W4kEglEIhGYTCbVqA7ZH8/2wPPQW9ZBfW4IhcgLaKHM5LyprPXTw3VTeQy+fw25hFVXVxdkcytJEkKhkKyHH8HlcqG6ujrvxYYkFSTxKDV4Q5hc5DRabIZ48MQ+W68hAKwRcWtra1HvgnJDbTKZ5iSRy0R+Sk3o+DEVQir0JnTFEDlCKYhTIQGDuULo1DJhc8Xghh9HNBpFX18fAoFA2njJmVKLYFS+86aWUBqfZXO61gp8cLS2tpYpXLQAmb0A6oSN6hUB/c1QlFAG27Ukzmp+BJlMZ3hCly3gWirEYjGMjY3BaDTCZrMhEonI1C4kdeSNzJSoq6uDw+FANBrF1NQURFGEzWaDx+PBKaecAkEQ0N3djQ8//BBTU1Pw+XwYGRmBKIrweDxwu91Yvnw5e/f+qcncPyPmCpkbGxvD9u3bMTU1hUAgwGzTSWZJIG17bW0tAoEAEokE6uvrMTIywjIDs9XV6TlZKxeGQokONfVWs/ZVOkjmm/HLBZIksSakQDpR5CdlLa6nJEnMhUkJp9OJmpqaWTdefA1kOdoQ8Pc+1/uulCkVY+PMR2NzDVaQGVNNTY1qX6tcIUmSTP4NHCB25QKZXwAz70i25yefz5ZqTNnAX29BEDQjzMrWCMW8Q/wYtb6mxZw//91SP6PK98RsNkMURZYZM5lMZSV0NA6j0QhRFDExMYFwOJyWveJb0Wi1nuaqaNAafOsCQinWD5502Wy2nH0PsoHfG2QjavxaoXVN/WxQZie1yBDSfomQi9EMv/bmYw6mF+LxOEZHRxmh83q9GBkZkWXr3G43QqGQqjqNMnELFizA8PAwEokEUqkUOjs7ZX0oR0dH8d577zGZJf2vwWBgjcyPP/54hMPhCpk7mFBuMpdIJLBlyxaEw2FMTk6yxcRut8seYiJxLpeLNe2mrAYh24NuMBggimLB5Go2iKKI/v5+Nn6+sLoQ0LnxjoeiKGJwcFC2GdBDpsFP9JmOMTAwgHg8rtoXTwsQsVPeS7vdjtra2rQNGD8xl6KYXol8MmJK8GMvtP8PH+nN55mgGiMtZF6SJMlqucpJ5PixGI3GnCXA9B2DwaD5prqQMc0GIoaCIBS9IeKbKmt57+h3tbymWvymHuPK9ZiA/Brr8WwUAn4c1HIiFovJ5mHeGVpr0pNvG5Viwc+bHR0d6OvrY+dfarfhYo/JX7tc1iC+x63W2cFcwLfrKXTNVprYeTyevIxN+GtmMpnKVmNPiMfjGBkZgdFoRCwWY2ZxSlO7TBAEAQ0NDTj66KPh8/mYsZISH3zwAfbt24epqam0+muXy8UUO0uWLKmQuYMF5SJzkiRh165d6OnpmdWlkogcRXAkSUqLWGT6DmWtRkdHMT09rUuvF35xA4onWLzmu7OzU7UNgB6ERZnxy0R8lePTG9PT0xgdHU2r2bDZbKitrYXZbGa1AHpq8TOB3NGAwu8Lv6jnu7DykeVCo5w04Re6cSKZCA+LxVKWhrHT09PsftTW1uZ1P3h7aJfLpVngp5gxZQNl0IGZ6HKhzz7vntbc3KzpBjqVSrEMhNPpLKomir8/JA0qFBQcAw7MJXqBP1am+0SReWBGVlWu9kW0oUylUmnulLwzoF5Ei9wx6XnU6zh80JInUVrMp/lAkiQMDg6yrHihjo8UAM6H0PBlFPkSIS3AZ9TyCbQrlUPFqJN4Qmc0Gpk5TrlA75/BYGDPBLVR4B3CM8FgMKC+vh5OpxOrV6/OuBfdu3cv9u7di0AgwJ53g8EASZJYQPnss8+ukLmDBeUgc8FgEG+99Rb8fn9O0QZ+g6zWasBms7EiUeAAkaNJkX9ZtSQffGQLyD8jkwm88Qnpn7U+Bg8lWZxtYuzp6YEoiiWXZwAz0pSxsTFZhJtHKcglD57Ia0nic+1HRCYqQGkiyWrg38mGhgbYbLayLY78Bq3QTRF/H7So3+E3LHpYcxcjFypVJkSLa8pvPLXKJPBBFL3MEPhjzBZs4jMNpTYDyTQOUgvwz3Ep5prBwUEW5NX6ePzarUbY+IxdqerK+KBgvvee1oFC5IL8u6mV3DMf8O+13W5HQ0ND1s8rzdi0uD/8PKi1IVkhSCQSGBoaYtlxApnbZfIa4GG32+H1emGz2XDcccelXSNJkvDGG29gYmICU1NTiMfjsNlsqKqqYiaEn/70pytk7mBBKckcNe9+6623MDY2NqtFNC85UzoUeTweVsRLC00ymWRRBYrwKAmXFpt95VicTid8Pp9mmyClfBTQb2FXXp/ZMkv8Il9q4qSEsj6x1Lp3frOhVQSXv77ZNv6lliNlAr8B4cdbjvHxpkPFEut8NuDZwF8fvZ1z892MlHoDU8w15d91raXdekqteLWD2+3OKftXTjMQHvw6R2UKQGZTCT3AS/G0Oi5PHrK9kzx5LVXgkh+byWRCS0vLrPMmb2hS6JqsnAva2tpKup7kYozC1xgC2ktD+WtQLgM1HolEAoODg+w68HJIKjeanp5W7fnLw2q1oqamBsuWLVOtQw2FQti6dSvC4TBCoRCsViuqqqqwbNky1NXVVcjcwYJSkDmSEXzwwQcQRTFrZoVAkTilQ5EgCCzSr9aCYLYWBcUQEDW5o9YyDH5iBrQnigRRFNHb28ukLLluNIholtoFSw3KCB1QGqmI3jIgfuOqRkrKvfAS+Gc1E3nq7e2V9TrSa5z8WLTa9BVrYc1L0kqxAc6HQJer+J8/bq5ZAH4Tl2vGuphxAdo8q3xgJt9abX79yiVboReU62g55n0+SFNsZpsnyrlI4stRV6a85tn2GDzhLPaZLXeAUJIkWc0izZnK4Lndbkd9fb1uY+P78JUrSEpIJBKM3Pt8PsTjcdmex+FwoLa2VnZ91GAwGNDY2IjOzk4sXLhQ9ZwikQjefPNNSJKE1tZWNDY2VgxQDiaUgsz19vZi+/btMnmkyWTKSOhoY6jsn8ZPvkoHKn4zqSRETU1NGBwcLGpRVLolaV2zJkkShoeHWQ8Ys9mMpqYmXaQsaj3jciGkPMkod1ZOWdfA97zTc9FVRu/a29t1mez5Z5+/P6WQheUCvj/TbM8P39tID3kW/yxo/fuF1lPwc1Cp+zmRDBpQ34yUu89SPkSSfw9KYWw027XLFfxcWeh8NBfMGZRmWOUKHvFS7kIJPT935pPd5Ul5KevK+HlNLTPIZ/G0nGP0UJzkA750gUpmCKUaj1bzgBbgnz8y1gsEArLWV2azOc1NWnntqBWRx+PBqlWr4HK5MhqkAJXWBAcd9CZz3d3deP/991n61mQywWq1IplMIhAIIB6PQxAEWQq5ra1NFmngpSZKkw5erqOU3dGkT5G9QuQ5SrekQt0Gs0E5bkAfspStZ1wuoKxcKWU2auCzPfzmnY/g6bHxKzWRUhboi6I4J+RX5GRK48qFPPFyKb02HnrV8eQbsebPtVx1jNQDDJCPd65kfHKRePIbeD1qDTOBr0MtZCPHZ3OKzSSWM1uidMjl18Fyt36pqanJa7/CX8dCShb4taWU7w0fRObVM/x49Hg3tKwFLwTKIEI56vNLpSrJBmVCg0C1c8FgkMn4edTV1WF0dFTWKJ1gNBrR2NiIqqoqBAIBGAwGrF69Ou36VsjcQQa9ydzw8DC2b98Ol8uFQw45BA6HAy6XCzt27MDw8DCCwSACgUDGLB3vYKlsCAmAZUb49DyfhucJTD4bK6VbkslkQnNzs+ZRfzVXTq3r45RuWYU0F6dJpZxuT7lsbPj7reUixJP6UhIpNSlpuYwRipWX8rJDLe5NqRfbXKK1fP+tchE5Ak90Ozo62P0DyhsMIGR7n/nNXDmkfYXeR37zrWVAqdSZgkyOjuU2XOLn4VxLA7Tq5VkuebsygN3R0VESFYoWLs2FQC24XQ4yB2QOiukNZeCd7zsHHCBn5HKpZojS2tqKVColq7vjKZfdbofJZEIikUBVVRWWLl0qq9GskLmDDKWqmeNfgmQyia1bt6Kvry+NnBH4iKay8LWxsZH9ubq6WpZupqyRUrYI5J7t4jedgD6bCeXLykc+tZw0cukZlwsoK1cO2QUgzyjkI83SYsNRSDNwLcEvKOXoBwRolyHQwm2ynNmKbFkbPmNZbmkOgSclhFw3waWCkpTzEqJyZAUI+WaT+douPdaMQjLihWA2wlZq634l8nVfJCKsRSPycs09yuMCpQnI8GupXj1lefDBkNraWlitVrZPKkf/WKD4TH0+UBJ3o9GI5uZm9o4FAgEEAgGkUikZMVNznAUOyDKp9k4pvSQIgoDq6mpG8FavXo1EIlEhcwcTSulmmUwm8cEHH2BiYgITExNsoVSCXhhlQSw/eSkdH/lNbqbU9GxkThkRylfKkQuU2Tg6J63bJ+TaMy4X0Aa8XDVa/LnkGlnlN1bFTMBa1GoUA7VWHKXeQGltlsG/n/le07nQE0itBnAuSHIygc/QzTUiR+A3TIRyy7kBeWY823j0MOBRg55EKh+iUqrzzQTlPNDa2qo6Vv5d1bJ0oVTEWgl+31Mq6TEfeNajzITAB0/4c+P3ZaWUW/PQO1BHfSj5OTBTIGtsbAyJRAKxWAxut1vW3otUO/ycDxxQq/GGKmoQBAEmkwk+nw8LFy7E/PnzK2TuYEGpyJwkSfjb3/7GnCyzuVl2dnbKUvyAPOPGkyGLxYKmpibmYMk7NFIKejaSpPxeITLEXKCWjaOXlchHsRI6pRy1mGaaBFpAyrFJ5a9ZvteGXxwKWci1dFErBMpIfygUmtU9UmvwUXAtG7IXYhAxV8xfALkBDI+5RuTUJEvlzHZlA79RnQtEjjBby4t8zIC0gN7OrbkGSTK1JSkVZiOffN2XHu+lHm0TskGpGAJKF2DkA6pargNAuoul2jvEq7PK5aStlK1r8TypOaTnkoHs6+tjpictLS0YHx+XJUcoS6cMkJE7+mykzmAwwGq14vzzz6+QuYMFpSBz0WgUb7zxhmzy48H3sFGC3+gp5ZbAgU06v+ACByYE2syoSRKo7x0/Jj0mZeULq5Zd0oIw5dszLhfQAlJMrUGh0ELiQRH/fN3gSr1QK5Fpw8bLFPWWnfALuB4ubmqNiTOBJ5XleBbVwG8WgfI7vCrBvz91dXVIpVJlqYHJBbyUmFAuSbcaMjV+19upNRO0lHQW0zSaVw6Uq65JTRbKE009AyylCvgpSwfi8TjbC+mhIFIDH0zTShWRS385An8NyhWQ4t/3Yp8rZT18PoZ0VP/scDgQDofh8/ngdDpVfSXUQH3qspG66elpXHHFFRUyd7CgVK0J3nvvPUxPT+f0oAHyhpmSJKG/vz9tsTebzWhoaJDJCflNPz+hK18UpRQzX2fHXJEtG0coVmKpzCxqpaXnx1XqjIOWxddElHMlAeWS0BD4Oie1DS1P2vWqY+CfWz3rBPmNZKbnVm9SWQjU+ljOJYKU6f0pdQ3MbFDLrvj9frbJmQv9LAn8tWtoaMD4+HhZzBEIWpitFNLUXAk+yFquZ4rPjtbW1rKAVykCAjyh1WMfwQe9+MBeIWYwxULLmkF+/LkGEfhrXa7sPb8+F3L+Sh+DQtdXURTR398Pq9Uqa2Fhs9nSsn2Z4PF44PV6VfvUVcjcQQa9yZwkSXjjjTfQ29ub08MFyBcmNWmBGsxmM5qbm1mbA+XDSS+dspaMIhR6LMR8fUM2IkHnWMhLrbw+Wi5eNGnpqZNXg9a2yLnaUpe7aSqQe7G1nnUMpd6cZZNPFtN4WS8opadOp5NtMOYCQZqtmXsx0mUtkc3UqJQZ6Hygpg4pp7SWD+zkSyS0NHaaC8+Uci0sZfZGL5Ms/h1Ry3wWk1UtBsW6mvKBkXyfFz6IUS5Cx+/tcn3/lcopLfaeiUSCuYzzZn9NTU2wWCyqbulqcDgcsv25IAiIRCI5k7nyeTZXUDJs374d/f39ORM5QRBgs9kgiiK6urpyInJNTU0si+f3+9nkppxghoeHGZGjhs8+n0+X2riuri52zs3NzVkzQnSO+ZBpOgZ91+fzobOzUzMiNzk5ySaBUtZCDA4OMiLX1tamyWJM9xqYudZq2WGl7XSpN2iSJKGrqytn1yyLxcJko1NTU2kmKYUiHA6zzWpDQ0NJiAldb2BmU0TvbywWY0TO5/PNCSKXSCTY+DweD+rr6+F0OplL3tjYmGrfn1JheHhY1qxc7f3hnx2/36/Zs5MPEomErE2C0lTH7XazXl5DQ0M5Kzr0hjJLWFNTU9YaSbvdzoIfo6Oj7N7PhkgkwshHXV1d0e+W8pniHfVKBeWmnu9dqzesVis7/8nJSU3On28lQk6DShiNRjZ3RqNRdHd3q7oVao2WlhYWOOjp6cnqgaCE3++XZbjzJf4ul4upM/hau1KC5n1gppdypjIh4MBejYic1WpFR0eHJntPs9nMrgU/Nw0ODqK7uxs1NTXo6OjIuI+i4yv35/kquyqZuTkAvTNzf/3rXzE0NASDwQCTyYRUKoVkMslcc5QFmjabDWazWVaLkgl8Ia4y40aFwUrXS0DfSC8v98ilUDhfiaWyZxxZz2q5oeCjTgS9I2DF9jDLBfwzwtc3lCu6SSimf1E+LRtmAy/NK4e8Tc1+GyiPi6gaZmtazD9H5TBoyddRU8tnJx/w2a3ZshjlbgvCg88SWywWNgfPBelvPvWnevYP45+pUs6lfP0R365Ir/KJTODPv9hWCNRSIZcm5eVSleRbM8ibiBSbOeWPXa6ennxtvXIMSoWYwWBAS0uLLrLfqakpJBIJTE9Po76+XmZ6RccNBoNpyRFqSSAIAqampmSkvK6uDp/85CcrMsuDBXqTuc2bN0OSJBiNRkbiEokEzGYzwuEw4vF4zlk7JYj88LI8Xm7JL3CAvvIP5bFy3QznI7FU9hDRY8OtlE/EYjEWUdJrgeAXIsqi6bUQ8RvJ1tZWVo8JlMe2XQuHRi0W8nJbjfPgAzDlMlVQItd2CuXYVBVzzFKPl5/DciXpWtR1FQv+/tNcrZfTa6HIpf50NgmuFih1+xC1GuPZAi96Qot3ig8K51NHX45671xqBpXXRKux8dLauULoAOTcZkBLjIyMwGQyIRgMoq2tDclkUubXwAegLBYL2zvabDY4HA4IgiDrY1epmTvIUIqaOVEUYTQa2f+Px+OIxWJ4/fXXWRE5Ze6SyWTWlLXH45EtRjyB4qOM/KIF6LtJUWbj6urqcj5WLi6WyqyjHqQ02wLEX0utHfvKkc1QkmKg9As+oL1DI5+ZyWdhK3cTYB5KV1qg/CYY+TY6V1pt67nJ0Cq7Vuizkw/47Em+97RcGR9AvmFUBhfKld3MhGzBodmMlbREKYIEs71n5TROkiQJvb29bC+Tz/kX68RZDifmbBl0fp3jje20Ar8/KVf9qtLZmFDKel96H1wuF6amptheNBqNymr1CAaDATabDVarFQaDAYlEAgaDgSVYKmTuIEMpm4bz6O3txbZt22A0GmG1WmE0GhGPxxEKhRgxIidL+l+amJTSSb4vnJL4APpF9wvNxhFmk1gqe8YZDAa0trZqvtHKJZJK1uG5SD5yRTncuAh8BLMcphX5yKLyQb7ErNzOnTz4BbG1tRWRSCSjG22pwBOQfKOr/L3QIzKrdWZIz80+/9uFbjDL0TCeH3emezgXjJMyjYeuE9/6oZTveb7S31yR6zUvd/aUt7LP5Z3ilSPFvIPl6JHK770oOMmTPD3XeJ7AlrsfLlA+IyxRFNHX1weHw8GuB5FrPoOqBtpnEypk7iBDucgcdbyvqqqCxWLB6Ogo3n77bVn7AnohqXs9kP7S8ASK33hZLBZIkoRkMqmLbI+fPGh8+R6DxquWFdKjZ5wa+MUuG1HjF89cmzxnA79olTorpmxID5TP+UyLa6lELhmQUtQo5gN+08xvNvnnpNSEX4tm0PymSst3WK9ggNYyPGWGolgiUSrilK8srJhMjB7IVH9ajnFp3Ysv37o0LevYCkGu7xRPhrRQI/Cb91LVHau1bAFKQ274+bqUz7laVq6cWXqlwyWRNEpqqKlf1JAPmau4Wf4fBhVlOp1OmM1mJJNJRCIRNtHTA9jS0sKI3OjoqIzIdXZ2wmKxIJVKoauri21gGxsb0dzczDTLWr7UiUQCXV1djMg1NTWxrGC+oPHym3maDInIuVwudHR06ELklM582TJuvCPk+Pg4y+YUAt4xsb6+vqREbnJykhG5lpYWtgnu7++XWfvqBd5Frr6+XnMiB8xE4oj0DAwMpFkT00aPst7l3nj29fXJ+vbwmz2bzcYyMMFgEH19fSVxaxsYGGAbg/b29oIj5F6vl81fQ0NDORk7zYZoNMqIXG1traZtKWpqatiz09/fn5OtdSbQc8YTnGI38oIgoLOzk22IZ3OSKwSiKKY52842bpofKQOix7jygSAIaZnLcr3njY2NbCOfr/OhEkoX1FyIGe+WG4/HS+b4SFC+U2rrDEnkgBkVghaycqfTyWS2IyMjsgbVeoG/1oSmpqaSZKnq6uqYAqsU9ziZTKKrq4vN6c3NzUxhlUgkciJMeoB3uDSZTDCbzRAEAaOjo+jq6oLD4dB8T1khcxUAOCAnjMfj7MVwu93o7OxkdXRdXV0ye2qaHPhWBGazmT2kZLai5Qs9NjbGNlF2ux0dHR0Fyxf4cdEC6/f7mYMVMJMN0KN1AiDfENbU1ORUT2AwGNjiMDAwUNBmhbdCb2pqKqlL4ejoKFvQyLZdudkmkq4HgsEgM1HQ+9x5a/fh4WH2XvEbVYvFUlYiR+0YZmu8zNtvJ5NJXTfKNCYKVmhBQBwOB9t0jo+PyxrG5otQKCRrHaFHMED57BTyTqRSKfacWa1WdHZ2avqctbS0sPenp6dHM3vyeDzOyILT6cxb1dHU1CSzbC+HbTowM78re62Wk2D6fD5W593X11dQMJBfs6qrq/OyT+eDVnwwq1RQttpQvlP0rng8Hk3l5FarlWWIJicni5p7coXymR8cHCzZtW5oaJAFVPQ67tTUFCPf1GqACDitVVNTUyUJEKvBbrczZ/hEIsHM3oxGI4aGhtDf34/6+nrNSHZFZjkHUC6ZJTCzsdyzZw+6uroQjUZZJIOvqVAamRB4IxRAXhdHBesGgwGiKBZt2qGsjdNCg05SuNraWlit1pLqrYuVXxRaoM3LIErtmMhbIqtJffRswg0UV3tVDPjzcrvdjNSV232v0PonXrKl9XXU21WVlzQXIvfijThKYQpT6DtRylpYLWWhvGNlsdLvcr3vgPw5obWELwsop8kRbz6Vj+xYS8lgOeuE1d4pcpDWU5pXKqMxfg6tr69HIBDIq2ZQK/Cu3FqatillpJn8GPg5sJzv2+DgIAwGA5LJJFpaWtjzZzKZIEkSbDZbWg9PCnhUauYOMpSLzEUiEbz++uuYmJiQPUz04il7dGQC746kfNEMBgMsFktRzme8Hpo3WikWZOJitVoZydCjZ5wSWhVG06Y61wVI2fKglAtorkX4fM2ClmRHi9qrYqB8l8rdF6vYdgz8ZlWrWhAtWkTkgkJrvsrhUAfkbyDB1/qWqhaWDy4VOqfx5Esrw6x8XVC1AE9UlCSynASTB/+M5GJsxL/vWl3Hcjr4ZtrbaO0UrUQpWgDROs+7MyuNrUo1d9G6T1nZYsEHInLpB8t/vlwKGLrnVqsVNpuNBeTC4TDGxsZY72fK2Pt8PoyNjUEQBExPT+Pyyy+v1MxVkB1vvfUWBgcH06ICwMzinAuRq6+vR2trKwRBQCgUYpsxg8HAosGFLspUG0eTUFNTk2ZEi5e6EJFrbm5GU1OTri/82NiYLPtZzKJIBHk2bTjJ1ojIaSFbyxV07Fzd1EwmE6sLjEQiOT2Ds0Gr2qtioJS9BAKBssmtUqmUrOalENJUVVXFJEsjIyNF1ybwY+LrTPQAbSxoQ5OL9G1gYEDWx6iUGW2j0Sh7J5ROwTyCwSDbpDc0NJQsOOjxeBjJHBwczLtv6dDQECM5ra2tmjkfu93uosaVD0RRlMmD29vb08gaX0vb39/P1p5Sw263s3dsdHRUVXlDGBkZYUSu2DWLB1+r3dvbW1QdX77g3ymCFmRjNugtNQ0EAmyd59vs8HW9fX19JXvuiGyROVGhoO8TMfP5fDkRYZfLxQIVWuwlCgGR9kQigXA4zGqgSUJut9shCAIsFgsEQcDY2Bg6Ojrg8/nyejYqmbk5gHJl5l544QUMDQ1BFEVZc8VMMBqNsk0pPynxvWZIVjI6OopoNIqGhoa85Uh6ZeMIfGsFPRuZ85hNZlgI+EifWjSbz3aUykpcbWwmkwmtra0FfRcoLKo2V9wieTdIn8+Hqakp9r6Vun+b1g6MfCa1UJc6vVwhcwGfsVXLlMwly/vZxsLPmeXqC5hvo2i9GhlnG5ce7rX8M5zLe8BLFvVq25MLZusDV4p2CnxWt5TPLf/uE0r5fmu9H+CfwUy/Vw53Tf4dL0TGqnQVL+Ra0X6v1G7MPBKJBIaGhpipIB9UFkURw8PDEEURgiAgHo+jpaUFsVgMn/rUpyqZuQqyQ5IkWK1WmEymnAp+ldkFQRAQjUbR3d0taxrqcrkgSRKbKPORkijdibTMxgHqdtF8c009QMekiVvLzJggCGxyHB4elt0jPttht9tLSuR4kw+bzZYXkQOKd8xTRj3LtQnnXUMbGhrgcrnQ0tLCggcDAwOauCvmglgsprkDo8lkkrnUdXV15RVN1NMVMhfU1dXJ3FR550ilJKrcjqP0TqhlFAcHB9lz1NbWVrYG77zZw8TERFr7ER68QQsZ7OilGODHNT4+rqnLXSgUYs9wVVVVTgENp9PJlBWFGtxoAZPJxNaFQCDA6hXVjJH0ujee/5+9PwtyLr2uxNB1MM9IIBNIIIFMgCySoqjiIJIainKLIileRVtUONqth25HT253dHRRYYc7HLaiHzy82G67X67jOmTfN/ml3b522D3JsoJNqlgiq1hFlsSpqkiRKgI5ApkJIDMxj+c+QPv79/lwAJwDnAFZyvXSLdb//wDO+Ya99l577URCVJH0nH/twMXFhUatQfvaSVMW7jC5rcOoqqpiDeZyuaXviq+76+trR+4eLrEcj8ciqbIOqqri6upKELm9vT2Uy+WN1iF9frvdtrU6vwp+vx+pVAqKouDs7EyzzsjY7vDwEKPRCIFAANfX17qDxpfhqTK3A3CrMvfOO+/gJz/5CQKBAO7u7jCbzUxdcuFwWBy8PKPOKxEej2dBzrAMvJHejt41OTjb29sTv9curbwTGnlAm3ErlUoYj8eiydvp/izejxCLxUw5nunBbK8Sr0a6OWtmXb8OrxZYOQheD9xYwq6MLO8VMvKe3MgSLwN/Pvv7+4hGo470720K3m/E4TbhJKybnclNKHhvj5Pfy4rP5WfTJjMM+XOgwcJugJ+Z5F5N/3+zibhNISsY7DAgW1Xd5j3lTu4jK3royYHbaOXJDTUEf/br7jt5lrEVfX68Cu20+RvH7e0ter0eVFVdKu0dDAao1+sYjUb4+3//7z8ZoDwWuOlmCcw32c3NDb75zW8unU7PD3gZfGPwIMOokyXfZIA9w7mXDS2l8rsdF6nTg1J5YEGwQ1K0CvySsFK+avTCM2sWYRe4YcAqowPZMMgOKZOTJhBGTSysMMywGnIAAViTjLALssvwrhA5gkwQiBRwEu+UQcuy77XpuSyTgm0MPPj956YMTP5NTpJsgp3k1kjLQb1eFwlqJ03C+J4wYkjDwe8aM0lpqxMbRsDX2LLP5HGM1ecvT9q5eV5WKhUoiqKZHSxDVVXUajX8e//ev/cks3zCeqiqijfffBPf//73MRwOlwb+PFNHiEQiQvZDQ8OJyJEpyrrN0mw2F2aFWE3kuNyQz5sCnpXfW62WpQ3Yk8nE9GDVbSEfenbNwFoGWcZnZR9iMpkUB/8y0x55ALtbRO729lZcrjRLbxlowCv9mdPT062Gwcvgc40KhYLtpCmVSonnXq/XxXPg4PI7Kw0VtkUgEFjIFrsVWK/DeDxeMK1wSz60DHx4McnnW62WCFpzuZwrycttB1hzeShJyLYxVeKmT3wOptOQJXfdbtfROXDAfA8S6bdyJpvRlgOSwgPOzijkpk98Fus6jEYjccaaNXDhJjDdbnchkWUHuOSy2+1q3i+dEUTkjo6OLE+kRSIRERPJ7TZOge53VVWFaZLeLDxFUUydj0+VuR2Am5W5r371q7i+vsZgMIDP58N4PDbUm8TlazzzT2Ylk8kEV1dXCIVCukG1E9U4wJicgMs7rJBbcvmcU+YqgLbaARiz7rUKTsj4gOXP1qzxgl3YJrPLM6xWVFTdnGvF910oFNL0B9HzcXP2jx54dpzD6TEe68ANAfb29hAKhcT55eR5YwZ8NAngrsyJsIlBEr8rrK4abGsUsc3nXl1diSAzn8/j9vbWFckhgVfRtpWgbzKr0aiywmrwuGjd+uLrZRt1gxsmT/z9JhIJeDwe8bztMLyTQbJUJ6vPqqqiXq8L4ub3+zGZTMT54/F4UCwWNXdNt9vFF77whafK3BPWYzqdwuv1wuPxYDgcCiK37qIlk5OzszNB5LLZrOhzIwtZPZlVq9XSOODZUY0DtJWidDq99BAPhULie5ppONVDr9cTpCKTyTgWWLVaLU21A3hmQmJ3vqbT6Qgil8vlbO19CgaD4vfd3d3h5uYG/X5f88zdInLcQGMTw4C9vT1BehqNxlZr8erqSmOl7zRp8vv9Ius7GAxQqVRwfn6ueT67RORoLQHzwKhcLosz6fT01JDbrxO4v78X6yKbzQoyx/fEtmeY1ZjNZrrmWW6DqgRkFrPOZOnu7k4QuUwmY3nVQDaKcOLspiojH6dAZjF0J5o1n7ICvHra7/fFPW4W/X5fEDkzBkt7e3uujJDgVdpOp7PSLIQI2N7e3lbqBlp3dF85se64l8LDw4MgcrlczvY5vwBEZbbb7eqqfKxGr9dDtVoVRO7o6AiFQgGxWEzE2kRwW63WRs//icz9Bcd73vMehMNhQeoIXHJIGyuVSolAWVGUBRfLSCQiXLDo8OMkjcroJCHI5XI4OjqyZeNyUsXn2SwDZf76/f7GblrcDSyXy5nSvW+D29tb8UyPj4/h8/m2coI0g7u7O0Hcj46ObCHlMviF1+12RfDq5DPn0Jvjt+maDoVC4rf1+33T7pDAnHzY4ZxqFhSQ0WXFnfF2IZgnLJujlcvlRDLm4uLCdRkjn+dXKBQ0SRO+J/r9vqOufKswHo81/WlUbT47O9sZgnx0dCSe5TJp3eXlpaZSY9c5Y/ccMo7BYCBk6aFQaMEp0C3JIUEmt2bPQnnmolmlQzwe10j7nXDZBLREdjgc6q4BStySkdu2oN4tOvucIPAej0ezj2KxmCPxAzD/vUTobm5ubDuLKKFOcWEikUC5XBYJpHQ6jclkgkAgIJ7F/f29xv3cKJ7I3F9w/PjHP0aj0VjaaEyXSqFQQDKZFBk8OkySyaS4BKj/gKCqqgjknKrGAdq+AzOVIspu1+t10xco7wMqFAqOHUrX19dLKzA84LPjMm40Gpog2Ek7dI/Hs5BldUoKw2GHfb3cR1etVg1dNkQq6RLeFdIk96I6FRStAykLiKTpDQO3ejj6pt+zWq1qvqfeWudBoN1EwAj0LPv39/eFs+7FxYVur4gbkAdY034zMgjcapitGG6CZrOpcY4kRYCMg4MDERs4PdgbeDaOw2zViPfbHR0dbTzHTx4h4UQVB1hN6geDgeiXNeoUbhRWjktYh8lkonmenU5HrEkn4PV6xbu9uLiw/Ky8v7/XyLiPj48XXMUVRUGxWISqqhgMBjg+Phax49XVlamK9FPP3A7AzZ6573znO2g0Gri8vBSXBwUNiqIIHa+iKAvOe3zAJ3exo99CM9B4b5zdA1L599hE685dE432z7nVB8St4FcF7ts+Ez245fpF4L8pEAiI5+CkxT0ncna5lRrto9tmQLtd4G5poVAIiURCJFncdok02ydixXD0TSCfuUYJeq1WE0TJjf60dZb9vMfWrHufneB9xwcHB0J14NZ4Cu4ObcXdIvcJGr0P+L3oZA8Zh9Eh23bcx7zvzumebP67i8WiOIfsfA/83rFrkDs5iedyOQSDQdfuLx5LWOGZIPtBGBmzcXd3h9FohF6vh5OTE0ynU9G28cUvfvFpNMFjgZtkTlVVvPrqq7i+vsZwOES/3xfZIB488sZvAAtZIwJtfNqoBL/fb5ukkmCV4YOZcQW8sd9JUsM/10iAx01qtjWbcWseD6HRaGgGJHu9Xo15hRMjCXiQbffn8b2nZwZgpVmAVVhmty5fdG6bK5ghZk4bBXATmU3eKw9SnBr/YMay3y2jqHWQjXDcnP8GaEdQbEPMt917nU5HkFu3xonc3NyIao7e2rLzPnZjNhuB33mAM4SSv2+rk/BEFrnRjxtGLITz83NMJpOt7k9VVXF7eyvWp5mYl5IskUgE3W5XnDn1eh1/7a/9tScy91jgFpkbDAZ45ZVX0Gg0FuQDPOsjHyTAPIPBL2M+EJtn5AH7q3GA8aydEfBDZdnl6dbBs83nbpsNd/OwJfBMtfye5XVnF7l2Yy6U/Nvo2e/KjCoOfi7oBcJydcDJyhEPyDatDvJkhl3fXXas3JTo8IDM7goYX6P8PlgFvn7dmGumB36XAPYNsDYDXhnbpFLC18E25wS/Q5y41/WgpzRx6m7ia9xJdcGypLnd4OeQVfuAP0O990ROk8v+ux3gz3cTJ2m52LFJwnwymeDm5gaqqgql0d7eHv7KX/krT2TuscANMtftdvH1r38d19fXGl10MBgUbkLyAUL/GzBv5KRsIQ82lgWddoH6Xqze/KvGFSwbhms3+PtYNvR0HdYF2kY+28mRBxw8yFr2nlVVxeXlpQi2rc4g2zUU3QhUVcXFxYXYr5lMRlQQ3K4eEMwkDHiSyAmpHd/T22a2ebXE6qCWB+5W/Nt8z9tVUdjGst+KId5WQL678vn8TlUOOSEzEyxy2aEV64m/a7ckslxpcnh4KAiHEyMdnFZCyHEYwanqKJeYWrEPSPm0qiXCyuS8UfD3apQsy/FGNBrFwcHBxrHR3d0dptMpOp0OVFV9klk+NjhN5qbTKV5++WXNzAsCERceAKwCX/Q80AXmhCMWi9kmR7A7G0eXID+w+YXvhJyPYGV/ltlqzi4EWySDAIy9Z977YlUAy/eEFXPgNgXvZwB2o3IAbCbl5ZlfOyszPBC2qq+SE1eryDSvPFvZE8P3PJ/7ZwX4etw0uHe76s/XIX8+ZuZ+OQH+Pdc9a7nf0sp+bjd7yAh8/wHOVnadmgnI3yH1bfLfbdd8XhlW7QO6I/hogmWwul/UCPgdv45E8jsFsEalQaoVGv11c3NjmMw9uVn+BcQf//Efo9VqIRgM6gYgd3d3ukSOBxbknEZETp7pViqVoKoqOp2OLRa3ZPlK36tcLlt++cvjCkajkSByyWTSMSLHf2skEtmaTHEb83a7vdJBajqdanrDnCZydGmatbVPJBLiu5LV7zZ5Kz7LLpvNukbkACxkDO/v7123oefucWbcXMPhsGbmzyajGNah2WxqxmdYZZATiUREENdqtbZyYjPqWLkp+J6nuX9WPGerLPvdmHVFuL291UjJONGV5365PcMvHA4LI5abmxtRHZYxHA41CTir5zoGAgGhSGk2m664vMpOi04ZXwHOzATkd280GhXvPRKJiDVaq9UcGZliZv7dMsxmM3FHGFEzyQ6zTjipBoNBkfjliRCO6XSKSqUi7pRUKoVyuWyJ3F5RFBwdHWE8HmM8HpuKt54qczsAJytzP/nJT/Dmm28iFAphMpmg2WwKfe4q0PcjcOkhbxjnWe+7uztRKrdSiuBkdUxuGgecrcrYqdFfJ53kvz2RSCzY6toN2fbfSA/Oqn8D2Kzasam8yQ7I1S9OINxwLQSsyaDKcmmrqlLc1dGu7O6mjpN6f3/TdW4Ucr/iphIm+TdbKYVy4p0Bi2fDqv2za26xq8w4eKXUbvm1Gz1kstx8f39fnIlOqxTk/WRVRdnI3curSE7JXbe5k4nwmo2ftu0X3QQk85RdbLm8nmbV2SEBvbu7g6qqqNfrePHFF59klo8FdpK5brersZj90pe+hMvLS/h8PsOZDn5YUt8cHZoPDw9iYr2s4VZVFefn5wgEAkin05YEZ24QDB5cOGl9z3+rXb0uy+RNXEbjRj+W1cET788yc5m4cZEsAw/SONnhDm9Oyz+5GYgVAT2/LLcJUOwKslZ93vn5uXDSM0pCeFDupGyb91GZTQLws8Euy36+DuywYOe/wev1ivE7q+C2FFQGJ1LUq8NJjlPnlZM9ZHJylc4cvo/ckH1a6fDMf8u6u5evY6fO/k32AU/4b2L/70ZClbuah8Nh8ZwB++NAur98Ph/+xt/4G09k7rHADjKnqirefvtt/OQnP8FoNEIkEsHnP/95fOlLX1ookYfDYfT7feEKtYzk5fN5+P1+cXAnEgm0220xVFzvwm232xiPx+h2u4YuzFXY1LxjG8i6aMCZS9zpngR+GWWzWaHJd6Mfi18WVgaLvHGfG/0sg1WW4FaAk1G978J7aZwYA2JnYLttH52bQTcfj7LOoMCOnjsz2GR0AT8P7f7OvO/VygCOJ2g2MXRww21vGeQKKcHp7+XEzE2+9vTOBU703DCssWL2Ko9xjN69ZsifleBzblf9Xr42tkn4mekXtQJ6eysUCuHw8NCRvTUajXBxcYG/+3f/7lPP3F9UqKqK733ve/jhD3+IVquFSCSCn//5n4fH41nQde/t7aHf7yMYDCIej2uIHL88C4UCgsEgPB6PWMhE5I6Pj5dmTmOxGLrdLqLRqDjoNgHvWcpkMo4cWO12W1wehUJBZGKq1aotfYCE4XAoiNzBwYEjWUb++7j1tNNETu4PtDLrHwqFhO5/OByiWq2KSoqM6+trQeSOj49dJXLX19eCyJ2cnOh+l3A4LH4b9XDY1WMgy3OtDhy36aObTqeaRIAdvbSrcHBwIKRmV1dXS3ua7u7uNPvMDSfSVColAuKrqytBQpfh5uZGkx23+zsnEglRqazVamu/3zpQ9ZSIXD6f3yjgPzk5EcTX7rtgHTwez4KBldNrHtD2kI1Go6X9RptAVVVcXV1pZp7pJXh8Pp84N+7u7hzv4+P35enp6dK7ZRnkvmyjd6/f7xfKlVar5djvPjo6EoRq1e/lRHMb5YbcLyqPy7IaHo9Ho4ZKp9NrE8BWIhAImFIkPJG5dyFmsxmurq5EMPzLv/zLSKVS+LM/+zPN/Jy9vT0h2/L7/SILGo1GEQ6HNX0L8qIiYnhycrJSTqQoCtLpNDweD5rN5kYXH288z+VyjmjDHx4eNIYOfr8f2WxWc3jZcYlveqBbAVk24ETDMQdv+I7H47ZIzjweD8rlskhUnJ2dLSQZrq6uNEYUTrhoLcPl5aX4LtwgQg/022iNnp+fW37hcbJN5NiOy83r9WpMG6rVqqgcLwM3KIrH47bI/4wgFouJykSz2dQ47gHzDD6Xy7oxq4vAjRVub2/FHcChqioqlYpmWLNTfaPcdOn29lbj4moGk8lEk+DghGwT5PN5Q4GsnSBySvcUwUnzGA5O6GazmSUmO5Scobjl+Ph45X7hI3vu7+8Xno3dODg4EEmOs7OztWcWQY5xzEr4OJF18nfzxLre7+33+2LPWZH8CQaDwnSq0WjYTlz5v99sNh0xm+Ewk2x6klnuAOyQWY5GI6iqimAwCFVV8Z3vfAeVSmXlZUh9dF6vV1xOPOtOGXmPx4PZbGY4I0/mBul0GuPx2FTvF+8TcqoHgH+mnqSNS96sbNDnunKnjTa4sQbvkXRCsgc40x8og8t2qHl/lyRU23wXLkkJBALI5/Nb/xa3bNq5HHCZ9Ij/XjfHRnDoGZtw+adT85OMYNnogk0Ggdv9/cxKb/m5arV9vd4AayfAZfjAs7XEiZyb59fZ2ZluDGEGXIZstheP7z03htFzifC6uMXKvmy3frfeWBqu4LDayMgJ4x36TcFgEOl02rT81Qp0u1184QtfeOqZeyyw0wBlNpvha1/7mihL+3w+eL1eTYUOmAftyWQSjUZD9zKgjakoinDxMXJA88OFZJxGzVB4/4lTPUv8cl51ABn9c0bBD0OnjTb4xUMBiawXt/P5u9m8rudWCrgbCFnV82XlO3TbEIf3O8pGIXz9Wj3Ae1vIRiyAu6RoFeR1x4cx78KMNb6ejc724n1MdpkW8LPbiUHO/O7RmxNqdianXdhm8DN3yN20P8rp4d4yjCRn7ejL5vvY6pmSqyD3tD08PGA4HNpmVMffrx2/kwxQaA+50Zv4ROYeGewic7PZDK+//jrOzs7Q7XYRiUR0y8TBYBDZbBY3NzdCWskdh2jTKIoisvxGP59niejvt9vttRcxd5B0KoNttuLGM2rbHMTLXAqdwLrfwJ0S7chIbdLwbTX0gli3CIEdFug8MNrkGTvdeL4MPBsLzC/ZZrMp9qzTe8coeBAAOBPwbwp5RATg7juXYTTRYefAbD3wKpJd54f8m1atI06k3CR0/Owxco9b/d7sMtMyilVnJ79brV6fThjS6EGuGAObuVcahV0jQygmkxOHTiuIzJC53dB4PMES3N3d4Utf+hJ+/OMfA5gHyq1WSxwYekSOMlb39/eCPNHfBZYPrlwHuf8pk8kgnU7j/v4eoVBopfb47OxMfJd1fUJW4fb2VmMyYeRgTSaTIuN0fn5uWB/P0Wg0BJFbZSRjB3iT+DIymslkREbz9vYWV1dXlvVjDAYD1/oDCXJwCMyz+bVazfG+E7kfzaqLKZvNigvp9vYWl5eXhn9bu912vF91GaiPjtZptVrVJF92kcj1ej1B5Oj7XV1d2d68vw3k83aXiCf1ZfFeSnktDwYDWwdm64EPcq7X61ubtcjo9/viN5Hp0Kr3ks/nHTPsWoVsNiskz6enpyv7sPlvtOq98T6+4XCoq8KwE8tMO2q1mojL7OjLlg1peBLMTgQCAU2FzO77gv/OyWRiSZ+mqqoiJpNlqm71JhrBE5l7l0BVVbzxxhu4vLxEtVpFt9vF1772Nd3F5vf7Bcv3+Xy4vLzEw8ODxhXp6uoK4/FYHALJZNKwzGYymYi/t7e3J2QgHo8H2WwWk8lEI+fkv6FSqWyttTeL6+trcfmarQImEgnxXC4uLgwNYCfww91po41Wq6UhkauqitxdcJ0LpFH0ej0hm9uk4dsKcPIUDodRLpfF+h8MBoZMN6yCnDSxWjISiUSE2+VoNDLkdtlqtTTSXzeHpRMURVmo6qfTaVdNapah1WppqjWFQkEEdo1GQ0iwdgW0H2TDgvPzc02iz22QzJ+qX/w8ajab4lxJp9OO9PsSQqGQJWYtMq6vr0VCJZ1OG5boykTKDZMWYN7DSkYOy5Ket7e3mp5XK9+bHPBb6bRpBLJpR6VScSRZzX/3dDq1hOisw2QyEfsPmFeW7DYpURQF5XJZPMdtDYBIsh+Px3XXoNfrFXdpu91eMLhyC08yyx2AVTLL1157DY1GAx/72Mfwwx/+UDPElsPn82E6ncLv9wvywcvJpBUmmDEUMDIf7ebmRmw2+ky7yuXrwOWc25BHro83IqPapp9gW3Cdvll5B+9B2VR+xY1H3JKcrWsU5xIYu+UUXLphV38BhxHZpZ0SoG2gV0kF3JFQrQLf33LVe1dMRTi43Jn3F/FzzS0Z9Crws4zDTckt3896PW1GIcuKN5Xy8x47N+dl6vWFy/vZzvfm9tB3WW7t5Oc7YezF1/3+/j6i0ahmJrHd9xqwfVzF18i65+SEhPepZ+6RwcqeOXKjfOmll3B5ebm0spDL5UQGRd5o3FDATNO40f4n6svwer3IZrPwer22NrIug9V9BbxvYpUbpZsN6txUZlMSyQM8s43lemYrToMHSauCLb6eAXtIt1vGInytygPUjQ6DdRr8vdE5IffYuP195YBx2feRjVHcJMy8b1YvccfXqFNBmRnIhM5tF1pge/MNTnysGFTM37GbRJffHalUSnwnr9eLYrHoyHtzw7GY984RnN5LdsYdMpGjM0Q2wNs0sWEG2yQiKdFpdOi83UWIJzL3yGAlmVNVFS+//DIajYa44GhgNx1g3KVMrq7ww1ZRFOzv7xvKxvLDyggBHA6HuL6+1lQOndrswFwSSUTXyoONu+7JjfBuZwb5Ibdt0CtnjY0cmruQIebf20jFjWY50Tq10gyCrxU3qh5671A2GHE7KCasIxQ8MeP0WA8Cf54+nw+FQmHt8+N70o0qNSfuq1x0+W/bpSooJymEXTFs2STQU1UVFxcXIui20oGTKyKcdkzmkImNG+64dt3/euAJVLli5WTMA9hjjMOJnJ4aixM6p1xxN3EJ5fvVjGkL/3tWKy2eDFD+AoMG0tJC3t/fR7fb1TRALzM0aLfbGqkgAN3eNhm9Xs/0wMtgMCjGHADzA92pQ40Pt7T6IA+FQuLZ1et1EajJG97pQPn6+lp8Fyt0+mRGQcHn2dnZSlObRqOhGeXgBpGTezmNSCepP4fW5s3NDS4uLrbuPeA9g4eHh67I17xeL8rlskg40LMhg4VdIXL9fl8Quf39fd1sdj6fF++oVqvZ3qchYzgcauYeGa0yZDIZ8b2dNEahoc68ArsquKf9Dsx/qxP9N6tA6g56z/l8XmM0oSe9dBpmzRnkXtaTkxNLe4ljsZhoa7i8vHSlD3I6nS5UqNy4CwqFgri77BqyTnuMj1eKx+PweDyanisnTTTy+bym13RbY5zpdLqSyAHQ/F6eULAT6XRa3O/n5+eGvAzoPjYbh/J4juI8N87GJzL3LkM6ndZkpZcdFLKhwd3dnfizdNAlEgl4vd6Fw5ej0+kIuVY+nzecER+NRphMJmLRO7X4ebO8XQFrMBgUjfBkckJEzu/3Ox4o12o1QbSs/GxFUZDP50Wm7fr6WtfU4fr62jWjF8J4PNZcOkYkFBzxeFyYwIzHY1SrVVNmNxy8aZpfrm5Bz7FrV8DdNA8PD1f27sbjcWE0cH9/vzDfzS50Oh0hx93f3zedeY7H45rkmd0N9cPhUGTKg8GgxjxgFSho4UYDbrgk0v6jc/zk5ATBYBDBYFBUv5rN5k44zRk1Z2i1WiJhEY/HDb8Ts4hEIkLyye8FJ3B/fy8SHtwun1ennYTVxIaD7zGfz6dx4QXgKqHjyUMuOTULXq1fNx9WJnROmD8lk0lxt61LXsxmM1GxNOoPwUFnI3dadprQPZG5dxm63S5UVYWiKAiFQlAURfdS4L10zWZTOG8Vi0Whp9/b28N0OsVkMtENXO/v70WWhWe61oFLpigLwquJdoCcMunZlMtlWwlVIBDQOFgB86qdkUG3VuLq6soSg5dVoEoEMF9/lUpFXBBXV1caIulGP9NoNBKN5/v7+xtLmamSRYf95eWl6UuY2xmb2TN2gbtoUmBDFQKnnDyXgQfkhULBEOmlZAmw6M5oBxqNhsbMZ5NAAJiTKkoW9Ho92ypfDw8Pgnim02nTckmSEVHFaJ3dvNV4eHgQe1mP9HDrcJ4IcBtEOAEtcaDqDakWeIXZLnC7fO7kbBfoN1IV9fDwUMg86T68ubmx/Xvo4fDwUKiTtiE2HM1mU+yxVCq1tEovEzonKlaEg4MDcQ9u4nTKiVwqlTJ0p5LiA5jHCU64QEajUU3yYlnSgOJRPlNuExSLRdsrvsvwRObeZWi325hMJigUCjg8PMTBwYHmsiNzEcqM3N7eapwNefbo9vZWLEZ5NlWr1dLMKDPaUE1ETlEUZDIZTcWj2WzacqBziSOXC9kNucIxHo8d3dwXFxeODY6l7COtg9PTU1QqFdcH1w6HQ3FQ03rbFmSdDcz3Gx+nsQrNZnOjPWMXuOw0kUjg8PAQ5XJZBDcXFxciyHQatVpNcy6ZeVaUrKHs8/n5uS2Z/4uLC82cu22JOZ1NtE+sGAHCUavVhPlQPp/fqj87m81q7ObtluxR7yp9/1wut5T08DO+3+87PltsGfL5vIY4dLtdU7PjrARXj/AYwGp0Op2F38iTMn6/XxA6PuvVSfB7YZsRDpQwpmdZKBTW9gK6IUEkcIXK2dmZ4aSMTOTM9Dty6TE34bIT8qw/ea1PJhPx262QNbs14/HJAGUHYLUBynA4xGw2w9e//nXU63WxUI+OjkRgS/pegmyIwS3oA4EAptMpIpEI9vf3NQ29ZtyChsOh0CVnMhnNxuFNtFY2fXMixy8Ou8E/NxKJaOQsTph/uOmYKctG3CJy3GDEyjVFUFVV4xi7ysSEjwNw23ERWD9ChD87J+3zZZfHbdcODxj0RlBs+h3tNjKy0hjFTsdPbphlZoSNGfC7ATD+/d02nFoGbgQFrJeo2Qn+bI06+BkB9TRSILvO4GmZG6KT4O/FrAsiP083OS/dMAkhmHGY5kRum/XC9+Ymbq+bgI+G4OZnVEGz2jhr0ziZ48nN8pHBSjIHzKU/b7zxBur1usaFjy7ddDotNi+weMnJjkfAfMErioJAILDRHI9VRI7AD0QrNpYTc0DWfS4PIPnmttO90A3r5WWfT3DaPY07ptntbsgDWj2LbTdnCurBqIumHAzb7bZoV/Atu3Zu8+/yoJP3/dgBnqnfNODnZ2ogEEA+n7f8POCfYbU7H08MbRrknp2d2d4nbRTyrDHAXWdJQLs/rLDLl90qjZ5561wRnQB3RzWadL27uxNtKtsQHDcJnRGnU/79rCD+/Lx3aiQVX+uxWAzJZFLsRzMOlkaxrYP3E5l7ZLCSzA2HQ3z1q19FrVbTLe8eHBzg7u5OVG28Xq+QOQLLLXt5ACj/NyPfiQ73g4ODlRUSPttrm0vOjcyP/Ll8EDuBX3TyfC8rwHXabhO5UqmE29tbUWGwqjKyDmYHuFsBufpBn7tLgSSgfTby6Ixl4BeSXVbadlvfy5bvm5wt/Ax0akYUJ0p658kqcCJkZdVFD1a/P7nqbXStLgNXmrg104/vo0gkgmg06vg5tQz8/Nr0nFZVFbVaTSSuNllznNC5MbIAMF6pklUEVpDyZYlgJ8DvBjkByteHkZE+RuFGwl2+qwF7EyrbzHh8InOPDFbLLL/85S/r2qfHYjH0ej0NyVMUBQcHB4hGoysDTz6PyEwWZTAYCJlTJpMxdCFzwrPJgFO+Wc0GQNtgHZHT+36ANcGF3ugDp7GsIsgDUsDeobVuz1KSJVSEXSByPLg3GzzK79DKCiOvVtg9d4ln0c0EizzAc3qOmXxeGFlLnLw4NXfPqsrqprLKdWg0GqIny8k5l/L74++Dy4C3JazbYptB5/L5sM3ztUrKtw3W3SNyhdXK891NQsdjL1qPdhE5Av+9dqsd9D4TsKcqx8HvXjNxyROZe2Swksx985vfxOXl5do5S3xwOKDtoVtF5AhGZBCbEDkCzxKZuRjckipsUgms1WrCOGCbni7Z4IVXWp3COmmnqqq4vr4WAaYd74YfmHYSxnWQL3q3BqRzcJK56bOxY6Axr3Y5Ja3i1X+/34+jo6OVgRjvX3NLEif3IC1LAMlBitNVKDIq4WMDzBAxHkTbEcjyLLkT1bB1EmzA/t5eM9gksOb7w6pznRM6OwiEESxTePDEjl0VeqOJYTsgy/BpP9qpRnDa20BWmjlRFVxV+Vz1d57I3COCVWSuVqvh9ddfR7PZhMfjgaIous5M2WxWkKxgMChkEXoVHVl2SdICYHVg0+/3xSFwcHCwUcaRB+dGghJ+Adid4efYRtLJN/gmwQv/bJ/PJ0YEOAlO5NZluHggDVhHdDbpdbADcjBNcEqWpwcrGrE5+L7cRsLMA3eng1gj1XGZQO1CvyN/lzIZ4UkEn8+HQqHgWjWYG/4Y2Y+yRM/OKtUmUmOzkBMf63qk+bloZz+1ERhNDsoVVKsTHVb38m0CuVLVaDTEO7W74u0moZMrrU48f6diGX5OclNAJ/r2+HoycueZIXNPowneRYhGo/D7/fB6vSuJDB9YTJcnsDg8WM8R0ePxiAzG5eWlbl8eJ3JmK3Ic8XhcZOR4UKUHOZPnBpELhUKmA9toNLp0RpuZzw4EAjtP5IB58oBbcHO78U0hj8nYBSIXCoVQLpfF5fDw8GB4hIGVqNVqIvi3amB7PB4Xa63f76NSqZieNdZqtTQyJqerER6PB+VyWZxNZ2dnomoMPJtRx6vNbhM5YB7oU+Xj6upK2Gx3Oh2NU9uy2VZOwczogul0imq1qjEJslNuGI1Gxb6s1+uW2+EPh0PNfMPj4+O15CwYDGos+u2cuboOPKk7nU51Zx62Wi1B5EKhEEqlkuUVa6/XK2z7eTXMSYTDYc1aoXd6cnJiu3TZDRt/gnyeO9HPyX+vnCiwCrPZTJyT2WwWgUBAfOZgMLB9LqWdMx6fKnM7ACtllm+//Taq1Squr68xm83g9Xp1A0iekfB4PAvZZyJPqqrqyub44cqD+H6/j0ajAVVVkclkLDnwms2muNz0votd9srrYKUbk9zwvy7r54YTlAyzRE6GLHXYpGrE+2DcMjYAVldn5XfrVGO/E+MpeG+WUUvxXTCj4OAVwng8jkQiIS58J82TzEDOnBPc7ruSwYNQvfXBq2ROVx+WWZVvAy453KSa4dZdtgyyfH42m2mcYZ3ox+RVdCcVNwT+TgHn95jTZm68+p9KpTTD3p343Xa1jfB/V76Dna6CrhsNRHiSWT4yWEnmZrMZvvKVr+D+/h7RaBQ+nw+1Wg3hcBh+v38hu0X6ZB7QUAZ6NputDALJcp209b1eT/z7BwcHlh7y/EDl34lfyE7aGdvlwmREj++WUyfHtkSOIBMdMwEMv3TclMAZdYLb1LLbLJyer8UD9lXyvm37qeyEXiZ4F4LpVZBHLuwCMdbDstEFVvUMbwP+DLfp0ZPXzzY9u7sgL+TgrRYEp2W8bvTCywkT3j/mlKkQwYk7X743SOVi9cgos9+FD1bfBpVKBcDyfe608YyRxM0TmXtksHrOXL/fR7vdRiaTwd3dHb773e+KEjKX8MmNpnRoU6XOSBBIGyQUCmE6nUJVVcuJHIFf/qVSCZPJRBA5JweN2m2nu8opyy2nTg6riByHTHTWBaa7MoTbbJAhExqr160dl6ARyD1ocv/Mrg5w5uB9l8BuGNcswzIZ0q4SOk5QfD6fRsbl9nfma3cTNz2+bkhqv+3atmJUgFWQ97ZbPX1OPhOePI5EIshkMlAURdPb6PQ4CTsJHSdsekY9bvxuKx26KbZd14vHP9OJpMG6xM0TmXtksJrMyaC5c7wnRCZyZGyiKIphIgc8O2D9fr+QVtq50fWyhE5eLk7Z6OrNsPH5fK4NFSXYQeQIMtFZVmmVSb1bpGCbDDqXlwHWENJtg1IrwGWvJF3j38sJp7JNwIO3cDgszkq3zSj0wBMfVOlaZYyyK5AJvVvycD3IgePJycnac0UmOVbL0LYZFWAVlvWquXXu2i2Hk6txeqYuvD3ATUJn1f7h73iVGoH/biddfbedncvPdiMxC3/GTsh6VyUpnsjcI4OdZG4wGODll1/WHFB6WQ5aTGaIHDCXWLVaLVsrcjKoGgg4O/PJaftcQH9umRt9A4C9RI5jFdFZNtTeaVhhnS0Hg9usZf593KrYEmTHUoJbCYhVWCb95ITJ7efJwfuHZWkidxndRRLKeyUJuyS1lRNoq84XLi02Sv42/U5Oz+ACFiW8dDYta3dwEnZVqJZV4/TAzwenx5VYRehUVcXV1ZUYO2WEmG47A3hTrBt9tAy8am7m7/G72QmpM/88/k6f3CyfINBqtTSOleQ8xUGZD7NErt/vo9lsWmp2sg68KqcoCm5ubhxxCHSDyAHzRl35sHZj5g539rN7wGY0GtWsw9PTU3Q6HZydne0EkZtMJiLQSaVSG78PclQkYn5zc4Ozs7MF5zgz3yeRSLhOPMixlCMSiewkkatWq+L84I6V4XBYNN73ej1dRz+nv+v5+bkgcsVicaHHLB6PC8n37e2t6O9xG7PZDJVKRWN6QxWs09NTxx1el4GSnBSY8zOPQD2+ROTS6bStZxFPvI5GIw3Bsgt3d3fic7xeL0qlkkgy8YQTr5g4Cf5M+v2+xkRrE4xGI1QqFc0syWw2u/KdhsNhcc7ynm8nwH//YDDQTZytAznIEpE7OTkxVGHkv1tPJWUXuBOz0XVHhQb6+2b2KG9ReHh4WDu3eVt4PB7NO6U2GzP766kytwOwqzJXq9XwzW9+U2RrgcX+BCIoy1wrl4FcKwHrzU6WgfeJZDIZ9Pt99Ho9qKqKbDZrm9OSm7Pcls0tc9LshR+edhM5GdyYh+AmkbPLcGdTyRaXBTnlkmkEcg8ksFuVOV55WNX3Khv0uDE0XF4b69Y//23LBlU7Bb4OgsEgcrmc+C68yujWMPZl4FUaujNlCZ6TvX5O9JzKfZirTGl2rUK3ae+6mWqcHriKxMlKFbD57+d7ctPKJr+XnewtPjs70yTflr0rvle3eS/87HXCEEvueY9Go/jN3/zNJ5nlY4FdZK7ZbOLrX/+6hswBzzbBNkSOz5FzgsjxAIVLiLrdLhqNBhRFQTwet3yz7QqRo0BYliDaHVC4SeT0vgPgHmnhRM4uw527uzvc3d0BmFeAj46Olu5L3sOwS7I6LvfL5XLwer0aQx+3DS+4DNSohIa/FycTKfy7mgm85ODfDTkjD5SXrU++VnZtrAKXuIdCIdGn62ZSYlO52TpwYr3u3CHsGqEzI0M10htnFPxOdto0ySyh4z3N294ZfO86eaavG7nDY0Ur3Df5v+dE7MHfab/fxxe/+MUnMvdYYBeZ+9GPfoTvfve7mqGoiqJAVVXx/wLmDuLBYCAOLjeInF4gNR6PcXV1JQ7RfD5v2cVC/XlWzjsxglWN3qqqaoao23XA7AKR45k4bg0NOHtx8svfbuIk96voXUi8Z8ctW3c9cNLDM6Jyf4aTva4cPKNs9j1yYmWHi60MbkywafKAmwU5VTmQK4nr9imvFDjpSmwEfD0Du1FBtLJvWHZONhv87hqhM9ICsW01Tg9uVaoAY4R22diBbcHPKCcJ3bI9wH+nlfe004QOmMeeg8EAL7744lPP3F90KIqiubzJcRKAJkjfZSLHh5Tu7e3pLmi/349isYjRaASPx2NZHwYROY/H4xqRCwaDCz1Q1HBPrketVguVSsXS3pNdIHLcmKJUKiEWi6FUKolL6Pz83JG+oOFwKIhcJpOxvQLm9XpRLpfFWq/VaqjVauJ9tNttQeTy+fzOELnb21sR+BaLRc3ZoygKjo6OREXj5uYGV1dXjvbcNJtNsV7y+bzp9xgMBkUfxXA4RKVSWeipsgq1Wk0ESUdHRxsTnFwuJ9QKFxcXYpyHXRgMBhrnUr5flyEcDosAtNFo2N6fYhQPDw8aIgdgJ/r7CoWCuHu36Vu7vb0VRI76XM3e6fw83IUeuvF4rDuyA9isN84oYrGY6H3m95YTkPsqecURmD8TLt0zsieNIpFIiPOFJ5jtRqFQ0PS2qqqqiZsSiYSl9zRP5rdaLVHFtguz2cz0unyqzO0A7HSz/MM//EPc3d0hHA5jMplogl8zcqHhcCiyp5lMxhE5jFlHIepvoUGX2Wx2Y9tgOiCcnNVFIBJpRNYpu/FZoeveBSK3LvvMJYaAfRbR/HPcqIDJfSzRaFQEI073aKwCrwCtk/TJlUcnMtlXV1fCCMqKz+O/18pBunbJI3n1y67eDy7h2kSKyteFW1b8wOI7yGaz8Hg84hxwq6osY9NZm3LAb8XZyUdjuOVQyt+brKSxoxqnB7cqVYB+hZJLIe10ZeSSZCffPz/XSW1m58gTfh/bqSKgcV+z2Qx/42/8jSeZ5WOBnWROVVU0m00oioLXX39dXEh0kBkxDnGDyG0zvPH29haTyQSz2QyxWMz0MyUys+2gyk1AskKzJJLL7oDNL5JdIHKXl5dCjrdKuqOqKm5ubkRAIxssbAseALvdz8ODJWC3BlobbUqXwYNRu/rQ7DSO4IHSpuMpOLjkzWjf0qb/vpUyUfkZW2U44LS0HVg8R3lgyknQrshBOYFed+bL5yU5E1q1xnaN0Hk8HuRyOct644yC2+E7/RyWGaZZmXBaBr4WnZTc8sQaYH/cwgmdHS0XDw8PGAwG6PV6ODg4wG/8xm88ySyfMCdt+/v7SKVSCAaDIiAlsnJ9fS2aSfUwGo00GUmniZxZS/PpdIpOp4PBYIDZbIZer2dKzkVzhtwgchcXF5p5V2YQiUQ08omzszPTcqVdIHK8r2rdhaAoCrLZrOiRGA6HqFarlkjJer2eIHK5XG6njBmAuZTHSTtsPaiqqpH3mr3As9msqL40m03NjC8rMJvNNJl6qwOMeDwu1t79/f1GYyUI3W5XEK1kMolCoWB5MOT3+xdkots+b9pzwLNnvE21mFt0T6dTx0ZC6I0cKJfLmkA8EAiI991oNBbmf7qB/f190b9zdna29C6Xz8ajoyMcHh5ausZ4YMuNWpyEoiji7prNZoLI0f3oRL9jMpkUlW+nnwPJ2TlOTk4caYnZ3993XHKrqqqGyDkBrpi6vb0VFV8rMBqN0Ov1MJ1OTbsQP5G5vyCYTCaYTqeaoa3BYBAej0dDIjhGo5Fo+D84OHCcyIVCIVMzs3h/Hc1nGw6HUBTFUB8d13w7TeRqtZpGVrgJFEVBsVgUAfL9/T0qlcpKsk7YBSJXq9WEZMJM4O33+1Eul0VQc319rTsjyii63a6mJ82Ji3AVbm5uNBlvknpeXFy4NktMdnk103vLEQ6HBcEg8kVkfhuMx2NR4YlGozg+PrYlU0x9YcCz2U1m+2Vub29FL/Lh4aGtcyTlnplNvi+h2WyK+yGVSln2jCkgJ1K4zV42gtFopFl3x8fHS7Pg1J8NzKVlJKlzE3zWpZzkUVUVtVpNvKdoNIpyuWwbqdkFQicPpgdgaQXSCPb29sR95NRzUFUV9Xp9oWdOdjO3EwcHB+J+spvQTSYTjayUzjRuvmQXfD6fSOxwCe82mM1mqNfrCAaDGA6HOD8/f5oz99hgp8yScHZ2hjfeeEM0dMfjcfh8PrRaLXi9XsxmMxwfHy9IShRFQSaTcaRXaJvB3PzvcskTXWaqqmIymSytLm4qFbMCXG5m1WfL87FW6eXdlJUS6vW6uIS3eQZyP5ZZ+R53JdsF57pla4M7KwLO9s9xKZyVvU3cHn2b/g4uj3VyjAW/1I30V6qqqqlGOt1jw2VRZvqmZCmXnfuEP1M7pMVcGmhGzs/PmV2Zn8hlv0dHR5jNZpq+YifPCDckl5TMpf0Uj8fF+jYztsBK8DPNzucg3wdHR0fw+/0aQxC7+uX0wKWPdsRTXA7N4z3yG3DCbRjQSte36aknIh6JRNBut0W8+jSa4JHBbjKnqiq+/e1v40c/+hF6vR5CoRAikYjIKkajUQwGA0ynU5RKJUwmE1xcXDhO5CiwMTvo1kh/XbvdFkQ2Go1qDrZ1c0vshN06c3l4sxwQ7QKRs4PMysPGjQSCPBjaBXORdRciXQD0Z+LxuHBUswu8X8COz5PNGcwGQNyAwI0+Rz5zalWQLycd3LJ15/vESB8Yfz/kqmv39+bjAawyOpKf/yaE1K6kxjaQ55ACzpwLeuB3m92EjhtwAM8SI7LSxy5jjFXgxNbqfS7fAfKZw9eok/MxAeO972bB37VMoLbxWtgU/Ezc9M5pt9uYTCbo9XpiNuvp6Sm63e4TmXtMcILMvfTSS7i+vl6QIBwfH4tLzePxaOQATrl2yY6MZjY+37zrLtTxeIzLy0t4PB5BXC8uLlwjcvxQsvOz5RlfdLnvApGzc06Rqqqa97sqqOEkYBfMRcxchHJW1q7vzy8tOyte8nlg9ILkQZObZFx2IJXfH3dI3YWqDn+v0WhUjDyRwUmVFYYvZsBJyrausnyvBwKBreaSbjq02i7IBi5uO2/aTejk5I/e7+XvaNX6thN23HNG1Rk8ceH0euCJcivaN7jL9bJ7bplKy07wd2HWbGY4HOLu7g5erxfRaFRz17399ttPZO4xwQmZ5XQ6xVe/+lXU63XRl5TL5TQyDA67ByMTtnWbo7K60YuUPo8PTd/kc7eFG45Xsp0/AFeJnJ0ZSw75d8tZeB6k7gKR22QoMMmJaW9bfYnxZ+jU2cCD7kgksrR/Vibtbjnpyd+JSygp0OJrzannaAQ84KO5mnwQL+8ndkt+zNfgJlUGeZi5VaNGVlniO4XZbIbz83PxjkKhkKjW2DW2xSjsIHTyebfOyZi/I7cqlVYpUOTfbuT38AST04oF6hncZsyTvHfXPT/+551ynt2E0M1mM1xcXCCRSKDVai3IQzudjmE3yycytwNwgswB8yzW1772NTSbTXi93qVuXFShcyIo4r1SZoMbOiQ2uUCJBALOZ8e5nM/NWTSA9Xb+RuG0jbGqqprKNP3uu7s7sQ+cfhd62LZ3UyauVvwmXhVxOhCQq1zy77Fz9IAV4D0zHLsg45WhN+NuOp2KnhDA/efLe1TMBOVyxcoOFYBb65DfJ8CzPcIl9u8mQidL6I3uJR7gO11ZJmzbGy6f72aSj7yK6fR6MDM7Vwbf82aq3zxB5dSMWP5+1j1j8jWIxWLodrtCicMTl91uF1/4wheeyNxjgVNkDphbv3/nO99BvV7XVKYODg7QbrdFtsfv92M6neLo6Mi2SoU8OwswLoPg1Quz5Xt+sXA4EWDxi8iNKpA8k4XgZJXAqaZwPfCLgWMXiBx3/9o2c8vNb7YZEs0ryG5VZORMNK1VflnvgsRtGewmElaDB5wEpw0UVoG/93VGB7LE3O6+Ie5caPd7lvv+9CoQ7yZCJ//eTc41TuicNEfi2MQcRF7Hm+5HTjacTChtKkfmZ+cm75vf906tf6OErtVqYTabodvtCo8IuXr8ROYeGZwic51OB1//+teFuyNHMplEv9/X2IIHAgHMZjNkMhnLN4Ec0JOUx0hVcBunpPv7e9zd3UFVVSEv5BUbOzX1/GByg8jpyRrlxnG7v5ebRI6DV2bd/i52ZfVl8xuzhJUHX7sgP9UzdwDck00ZwbLkwS4TOnk9bpMMsAv8Oy4zYpH7qZxK2GwikzYLfm57PB4Ui8Wl59cuEbpNz39+d637vevASaFbw9/N9ESvMzEzC36OOpnENGtGw9fKNooQLn90isDyd6aXBO33+7i/v8dkMkEulxPvk7cBJRIJBAKBJzL3mOAEmVNVFV/96lcNzzwpFAq4uLhAMBiEqqpIJpOWNc7ybD8/TGghE6HT2wTbNBJ3Oh00Gg2oqrpwkcgXv9VVCJ6tcaPCscpshXTbJO8Lh8O2zOXh38FN8sT7ljjcCFr5BbdNT8Gqf5/3kxnNRvPqzC5ULQlWZOedgpxVTiaTmt6zXSDIMuTnS3DaCc8I5L5Efq5tOnLAKvCEo5VnnSw7Niofe6yETpYVWiXz5s/RLZOYdaRfVlhYKQ3l/chO3sX8vlvWBy3fWVack/wsduo+45/JY77pdIrLy0t4vV7s7+8v7EWqHiuKgmAwiL/+1//6E5l7LHCKzP3RH/0RTk9P4fV6hWRJD/l8Hg8PD4I0BQIBeL1eBAKBrQ+TVTJDHkjQwZZMJkWwtk2fVb/fFxurUCgsdUG6ubkRTcpWVel4ZsiNi9TowS1fnFZecpxAuUnk9BIJcsXHqeydPHjbbC+BGchSv1XvwInKwqbga5mwi0SDr3c54ObnmFO9HEbA1wgFWryyuAvOm3q4uroS99nR0ZGtSTkz4IlHK848TlA3ceF8TIROTjBGo1EcHBxYehbxte3GGBNgudujfF7bQUCcctOWscpd1KzRiRnw3lKnYhD+HinurFarCAQCiMViS+8tioUHgwFefPFFQ9zAXcuvDfA//U//Ez7ykY8gkUggkUjghRdewO///u+L/z4YDPBbv/Vb2N/fRywWw1/9q39VU6IGgH/5L/8lPvCBD+Cnfuqn8K//9b/W/LfT01P8+q//urjM/tP/9D8Vm43w0ksv4eMf/ziCwSDe97734Xd/93c1//3v/J2/g//qv/qvLP3d20JRFPz8z/888vn8gqxADiKbzaam+jUajTCZTDCZTHB9fW1qKj1Hr9cTRE4mVDTwE5hXD3K5HFRVxf39Pc7OznB3d6fR25vZ4KPRSATr+Xx+aZZHURRks1mh5+52u6hUKhrpqVmMRiONw5HTF2i32xXBLx8Kr4dQKIRyuSwOjZubG1QqFXGhbgqSthr5Dnai3W7rVoSj0ShKpZJ4NxcXF7pSZCvBLzS/328rkQPmwXmpVBLP/vT0dMGYQ1VVVCqVnSVyjUZDrOVCoSDGkDSbTZyfn9v6vszg6upKrPdCobBA1vb390VG+vr6eoGcuoGbmxsRdGQyGfH9/H6/qBZ3Oh1NVWhXwO80InLBYBClUsk1IgfMnyN9r9PT043P0dFohEqlIohcPp/H0dGR6b3JR/dwAuwGeAJGVgvd399rnlexWEQmk7H8LPL7/eKu57PanASXi1LP9NnZmaaiXy6XbakkpVIp0SfP+7XtBnfQ7na7gmCNx2NB5CgWsfKdx+NxURjgFX07EYlEBFm9uLjA6ekpfD4fPB7PSnJGs5bN4NGRuWKxiH/8j/8x3njjDXzrW9/CZz/7Wfw7/86/gzfffBMA8A//4T/Ev/pX/wr/+//+v+OrX/0qLi8v8e/+u/+u+PvD4RC/9Vu/hd/5nd/B//g//o948cUXRbA+nU7x67/+6xiNRnjllVfwv/wv/wt+93d/F//Ff/FfiL//k5/8BL/+67+Oz3zmM/j2t7+N//g//o/x9/7e38Mf/MEfOPsgNkAoFMKv/MqvIBqNikvu+PgY5+fn8Hg8wkqVDvmTkxNN78RgMIDX60W1WjUk1eTodruakjOvfJBcBpg39iaTSXEZq6qK6XS6cVVnMpkIMpXNZg1d7oFAAKVSSQRhl5eXG5FYmmtHn21m9ogVGAwGgsQWCgXDF0I6ndYQ5rOzM9zc3Gx0+D08POgSKKdBEltgfobI30NRFBEkAfNnV61WRZXWSnAiFwwGUSgULP8MPVBvEV0uzWYTlUoFs9lsQe65a0SuVquJZM7x8TH8fj/C4bAgGpPJBNVqVRBRN0BkmJ+fyyq8kUhEXNYPDw84OztzhYzSd6bkXbFYXKjG03oA5s+5UqnsDHEG5r9BNtLa39/fifW7v78vAsizs7OFxPAqkOkF3SGUkNkmIbjLhG44HKJSqYj7Yn9/H+Vy2VYpciAQEL1btVptq8TtpqC7ls5gIrHHx8e2S8gPDg5EXMJjPbtBdxEwT7Ken5+LKikl8+3A3t6e4wSWqsqEyWSych4ywefzLR3Ho4d3hcwynU7jn/yTf4Lf/M3fRCaTwT/9p/8Uv/mbvwkA+MEPfoCf/umfxquvvopf/MVfxMPDAz7ykY/gW9/6FgDg537u5/Dd734X8Xgcv//7v48vfOELuLy8FA/7f/6f/2f89m//Nm5ubhAIBPDbv/3b+L3f+z18//vfF5//1/7aX8Pd3R3+n//n/wEwr8yVy2XD1Tkn3SyB+cH5xhtv4P7+HoqiQFEUhMNhDIdDzGazBaLm9XqRz+dxfn4ORVGElapRgiD3o3HnxHUaalluYMbFaTqdCqLKs1BmsGkvnduafKtsiOXmazOyMC6Jc5PIcRmlUf29bAxj5Xwko0Pu7QRVwuXjf507oNOQB4gvI5lcguaG7JLvd8r4G3Wp40GUk/uEnxE+nw+FQmHtd+YS3F3opZSl4QcHB0L9YXZ4r53gZ6GRO0Q+d62Wfq8zaHAS8vgOM/vHKvDn4fTYELkPErBmwLYZ0Egcp+ckyrJKp/Ys72l14llT+w7dt0bjCTNulo+uMscxnU7xz/7ZP0O328ULL7yAN954A+PxGL/6q78q/swHP/hBnJyc4NVXXwUwJwP//r//74ss/IsvviikEK+++io+/OEPawKsX/u1X8PDw4Oo/L366quaf5/+DP37jwGBQEAclJlMBvl8HslkEvv7+ygUCgvZoGKxKA4bVVXRbrcRiUQ0VrnLMJlMRMBAz/n29lZcwLSRA4HAApEbDoca6Q8wvxSNSP9oiKrX60U8Ht/Ydj8QCKBcLgsyZqRKRyQSmGcXnSZy/JkfHh5uncktl8vi+V1fXxt6/u12WwQvepUwp9Dr9TTVSaNZ3lQqpTEjOT09FRnjTTGbzTSJC7eIHPCs2iInRuzKiG4COVO9qlp4cHAgvrvTssvBYCD2ezweN0SKCIqioFwuiwTJ2dmZI9WS+/t7cUbs7e0Ja+x1KBQK4iw4OztztRJ6fX0t7hGSo8ViMbGvarWaLZX1TZBIJER2/vLycuk7JpkdEYtEIoFyuWw5uSCTK/o+blSkgLliQpZ7O03kgPnz4HI4MxXUTUEjV+js4ME9nxvoBIjATadToWSyG8PhUEPkAJhWfG2KXC4nYhK7peNEHFVV1VSirb6fHiWZ+973vodYLIZgMIh/8A/+Af6v/+v/woc+9CHUajUEAoEFMnJ4eKjJ3v2X/+V/idvbWzQaDfxn/9l/Jv73Wq22EGDxi2HVn3l4eBDub7/7u7+7cz1zHLlcDh/4wAdQKBTwyU9+Ep/73Ofwq7/6q/jVX/1VfOYzn8Fzzz2nKQvrld87nQ58Ph9ubm4WJC4EmdTs7++LQ2MwGAi5jqIoC3NHuDwyl8uJviYKxs/OzpZ+Lsk2fT4fQqGQJVKFTCYjvmOv10O1WtW9AOXeP6dtj/kzz2QyljV1HxwcaDJ2Z2dnSy8cWdLolmMfN72Rpb1G4PF4UC6XRdBzf3+/cQ8lz0DGYjFT8gm7MJ1OF/q17JKWmgUnvn6/31D/RCgUclx2+fDwIO6GTCaz8YiEbDYr/u7V1ZWmKmwlqNJJiYl8Pm/6fDw4OBBJgIuLi4WZdHaDpJ60TovFouY3hMNhUV2+vr5eek84Db7vr66uFp5bp9NZkNnZOduPK2GcJnTj8RiVSkVUUZPJpCv9WxxcDsfVAHaA3jVVh/L5PE5OToScud1uL5Bcu0GfPRwOdUfAWAVVVVGv10V8F4vFRKvB9fW1Y+uQ4pnJZLLgq2EFyJVzOp1iOp2K5Ckl7qyWtT5KMvdTP/VT+Pa3v43XXnsNL774Iv723/7beOutt0z9G8lk0pX5IruCD33oQ/j85z+PbDYLj8cDj8cDv98Pj8eDD3/4w/jYxz6GXC6HVCol+g9keR0dRO12e2EzLCM1Xq93oawtO0bKhITK7oqiiGZoYF7hkzMclM0PBoPwer2Wuq/pVen48HUesCeTSccHkvJnnk6nLa8I0rujAKDdbqNSqWgax90eik4YDAYa57ZtZETUq0Lr8PLyEpeXl4YDDr4u4vH4TjgCTiYTsVaoqkFOtdfX17i4uHCtL2oymYjnFY1GTfUUEgGnwPDi4sK2oKher2ukc9vut3g8LhJGrVbL8gw5EVyqOpycnGxctU8kEiKpWa/XHQs87+/vxd0QDoc1CT4O3ot6e3trGzk2i0gkIirI9XodvV4Ps9lMQ2xSqZRtphd638dJQkd9gNQf5fV6cXJyglQqhYODA5F8dIvQxWIxQaD5GBGroEdiy+Wy2IeKogiS0Ww2HU2sycYk2ypR9DAajVCtVkUio1Ao4ODgAH6/X5wnl5eXthJpDvq9/X5fvBMrQBV2r9eL8XisUZVks1mRWNYbA7MpHiWZCwQCeN/73odPfOIT+G//2/8WH/3oR/E//A//A3K5HEaj0cIMqXq9bkg+lMvlFkgJ/d/095f9mUQiYboK8pWvfAVf+MIXHDNAMINisYh/69/6t5BMJhEOhxGPx8XB5vV6xUBDWqzT6VRU2rihSTweXyA18iFB0j36u2dnZ1AUBalUSjdAikajIgNPGXwqY9NsPKNNppsgk8mId9bv91GtVjWSgXg8btk8GKOQTWTs7BkickPvplaroVqtot1uL3UrdRLD4VBUS6yy4FYUBblcTrx3upTIOGIZptOp5r3swnBr3qORSqVEVSOZTIpAYjweazLHTmE0GonvlkwmNx4NIssurTQYIdMQCkhOTk4s6zkKBALibCNDCCsCyl6vJ55rNBpFuVzeugc0HA6L/dBsNi0NhmTQM6e74/DwEIeHhyurtdwlttVq2RKcboJQKKSpHHKp2cnJieNJQKcIXbvdFnclMD+bZXfjw8NDEejKEjynkEgkNK6HVuw/mcT6fD5BYmV4vV5XKlWA1pjk/v7e0iTNzc2NkHbTGcTVMuFwWEOknSDznMB2Oh3d+bNmQTFpKBTCYDDQbQ+g9zudTg1VBQuFAr7whS/gK1/5ytI/8yjJnIzZbIbhcIhPfOIT8Pv9+PKXvyz+2w9/+EOcnp7ihRdeWPvvvPDCC/je976nMdz40pe+hEQigQ996EPiz/B/n/6MkX+f8JWvfAXhcBif+9zn8I1vfAN/+S//ZcN/10lEo1H0+310u110Oh0R2BGZy+VyGI/HgtDRDA3eFyQHr+12WzM4mgf89HfJZGXVpUYZeDp0iVD4fD4Mh0PDPSCbgqRfVAGgLHo0GnU8YJfnttgpzSEoioJMJiOCJVVVhbTS6QZyDrtHQdB7p3W3anwDn5uYTCYdeS/rMB6PNdJneY9R9ZX+91qtZvuYBkK/3xeX/cHBwdYJES67nE6nlsgu6d8BnvUdWj1qg842Ioinp6dbBXR87EA2m7VkdibB7/eLBECn0xHBqpUgZ1lCqVQynDj1+Xzi+93f39tKOM1ATnRRb7JbY1vsJHRUjaL7gZQAy85m6jml5Kwb2Nvb04yV2Ob8e3h40JDYo6MjzUgCPfj9fpGMury8dKSHj+DxeDTVwXUJy3Wg90//ztHR0dIzKJFIaOS2ToAT2Lu7u61k2XTnx2KxpUSOwKuC68bT/Nv/9r+N1157DZ/73OcQDod1Sd2jc7P8R//oH+Ev/+W/jJOTE7TbbfzTf/pP8d/9d/8d/uAP/gCf//zn8eKLL+L//r//b/zu7/4uEokE/sP/8D8EALzyyitr/+3pdIqPfexjODo6wn//3//3qNVq+Jt/82/i7/29v4f/5r/5bwDMRxM8//zz+K3f+i383b/7d/GVr3wF/9F/9B/h937v9/Brv/Zrhn7Dw8MD/tE/+kf47d/+bZycnDjuZmkGp6enePvttxckPzRj7+7uTjPHjQ5hPVck7hhVLBY1GycSiaDX68Hj8Wjsgo2AKg2hUAjD4dD0HLptUalUNP+302569PluORHyoegEN4YhOz0EVnaEjMfjgsjL1S+ns+164O6F3FF2GWSXNTtd7/hAVzvenRVul3ydy8Nu7QIfcm/knXHITnF2uk/KrpxWjbao1+uiArrNPuLPwk0XWWDRvZFg9v3aAe4eve1+J4MPIjFGHVPp79J6CoVCrhkz8cHvZte07IS9yfrlbQtODbom8PN/U5dJfu6S6Y6RZ0iuuT6fz/YZrAT+eze5g8h4LhqNYjAYGDLy4efS/v7+QuuX7GZ5enqKf/JP/gn+6//6v164wx4dmfsP/oP/AF/+8pdxdXWFZDKJj3zkI/jt3/5tfP7znwcwz+L9J//Jf4L/9X/9XzEcDvFrv/Zr+J3f+R3Dh0G1WsWLL76Il156CdFoFH/7b/9t/ON//I81mbSXXnoJ//Af/kO89dZbKBaL+M//8/8cf+fv/J2Nf9MukzlgThZ++MMf4vr6GrPZDF6vF4eHh/hLf+kv4Wtf+xouLi7EnLpgMIhwOCzIHZ/bxU1oOEqlEq6urjCZTDCbzUxbxT48PKDT6WAymazNeFkNCjYURcHe3p5GyuOE5bNblsIE+cBvt9uaTJ5TfXOcyDlNJOXxGZlMRqx/N2zy9cCJiNlRGfxCjsVilvf88TEQdu4ZfgbRUFajwRknm3qXrp3g31tvfIse+Ps2E0RvCz66YJvgU04kWHGOcILg9/sdb2/gZxTwLGDk//u7hdDxUQyb/jv8fdlx7hgFTygYIXSqquLy8lLsg21HLdzd3Qn5n9PzPzkhNfMO5f27SbsDJamdfPebjnQaj8eo1+sIh8Not9umzj6u4JFJpJnRBI+OzL0bsetkDpgHXH/8x3+M8XiMYDCIj3/840gmk/jRj36EH//4xwgGg2LY4zvvvKNpii8UCkvlEhRU0gwOs4dVr9dDq9XCbDZDPp93tE+LB6H0vUkbTzIVn8+Ho6MjWwim07NSZPCsEicIZGBDR0swGEQul7PtEuIXh1vBkKqquL6+1jjU7QqR42RgU6IrZ5mtIunX19eiyd+JuWVytcqIJJiTWat6MM2CX/jA6qCOB39uVIX589pEcs2rkVZX0ThBIHmVE8ExfyZ65+GuETo+m9NMEC8T1m3XH39fyWTS8V50Apeerrpr+doFrEtO8Qqh03e9rKhad+7zynMoFFrb27oM/N07eZfy+9LI+TUYDNBoNOD3+9Hv90XcYyaW5fuGr5knMvfI8BjIHDAPKDqdDhKJhGaRPjw8IBqNwuPxoN/v48tf/jKGwyG63S5UVYXH41nZREwkaBMZAx0yh4eHjg4+5ZedXhZGvtSsvoh4cOB0tg7QHrTLLmxZfmlHYMmDXKcrJjL0hr+6HZjxi3hb+SJZSlMCYds1bVUVZxM0Gg20220Ay9clmTHR2eX2kGx5gLocWMn/3c1h0LwyY3TdyVJNu6TSZBa1SdBlFnISZFUygN8ZZqvndoDfceuCWjmJaeXgb56AcTNBRioYbppBkO86O74nnZduqHD4Wlh2Dsr3nxUDwPm7d6J1gmDk99Kfu7+/h6IoiEajSCQSmkquGeLNSSSd7U9k7pHhsZA5I2g0Gvj617+O4XAIn8+HYDCIQCCAm5sbjEYj+P1+jEYj5PN5TCYT3N7eQlVV08Ec6ZM9Hg/29/cd2+SA9oJel6nimnfAmgNOryLoJMzKX+RspVXVDU7k3K6CyaRyNptpfrMbRIDLpaxYdwRZMm32t9nVX2UWq2SXcgXPre+oB05EqdIqB1K78H15ImHd/uR/FnDm+5+fnwtjCas/T67URyIRZDKZtZ/xGAmdFZLKdeDnq5sJMpL+US/XbDYTs8QA+1Uo9Plu9H3y9yzHazwmCQQCyOfzlj0DviecNFdb9XuBuQKCRovIMSiN1jDb7yn3SPb7/Scy95jwbiJzDw8P+NrXvobhcIhsNosPfehDuLi4wJtvvglFUTCZTBCJRBAOh0Umy6xki4wnvF6v4/MC+aVilJToSfA2De7XHTBOgC4UMweV3AxPMwM3JTg82HbbYGTZd1llkGI3eBBmhzRQ7gsxSqY5kXOrz5NDT3YJQAQPbptlLAMn6l6vVwSTThmzGAUPxPQSP/LZ6PRe5lJ1q85TOdlhltw8FkInVx3tTqhta1BhBeREFIcTRMNt2amcSOazbQFrk4YcPNnjZGJ0WeL8+vpajOTK5/ML732b98Rl8gcHB/iN3/iNJzL3WPBuInPAXN/d6XRQLpfR6/Xw5S9/ean1qtlAkzaJz+dDJBJx1O6db9BNsoNy9jwWi4mB7EZgtPRvJ0jq4fF4hJ2vGcjPIBqN4uDgwFQWTx7O7lYfhdHvIlcd7O674tk9u6V2svnLqoCYJ0J2jSTxahfB7STBOsh7yQ0HWSPg750bj9hhcrIJeD/SNueqLDXcxrhhlwnd0dERbm5uRCLH6krMKmxqUGEl5DPP6UrhOgdEu8H3C8FKWe0y8ES2k8oD2dH0/PxcFCZW3XfLPAXMfGa/38cXv/jFJzL3WPBuI3Mcf/Inf4JKpYL7+3tEIhEkEglN1tLMBc6JnN/vdzQY5EQukUhsRSLly8BIEGa2KdcObGPTLGPTC9HK97AtzHwXuQJhVwDEXRedWidyD5Leu+TBqdvvbRm4GQuwG1LFZVhWBevX9gABAABJREFUIdjV7yx/3729PZF9NurQaSe4acMmpFJO2FhBTDlx2QWizgkdwY27yK27UO6DJ7gh8V/lgGg35Iqsk5/PvQKcNILhBjjkAWHkrOUJK7PJh4uLCzw8PBgmc++KoeFP2E1MJhNcXV2JMnUmk1kYT3B+fm54kOvV1RW8Xi9ms5njWX3akMFgcOtANBKJoFQqiYD3+voalUpl6WDQ0WgkntvR0ZErRK7VallG5ID5MyiXy+KAur29RaVSWTnUWe7V2xUiZ+S7KIqCw8NDUZUYjUaoVqtbDSiVcX9/L4hcsVh0bJ2QIQBJSG9vbzXkbjAYiCAonU4/CiIHzPse9IbBu43JZLIwuJyChGq16uiAYaNQFAXlclkQHCJyuVzOdSIHzNclVdXPz88ND5cnkxwicslkUvM7t0EgEBCjffTWp5Pgs2QJx8fHrtxFoVBIrJmLiwvb1/tsNsP5+bk4w2ioNilTms2mpoXCCXi9XrE26vW6pUPel4EklZzIAbD0DluHg4MDseacHCjP7ywan2UkBvL5fGL279XVleH7RFVVw2cQ4YnMPcE2PDw8aFwsKQCJRCIaiV6320WlUll5IN3e3mIymWA6nTreZ3NzcyM2oVVDuRVFwcHBgcYa+/z8HLVaDbxYTkYvgPOOnYR2uy0IudVW3ul0GicnJyL4ubi4wPn5+YL7KSdPJM10C/y7RCIRU9/F7/ejXC5jb28PwDMSuy1puLu7E4YrbsnV4vG42Nez2QzVahW3t7easQi7qDw4Pz8XgfLJyQnK5bKQxJydnbkaRMvo9/sisUTPW1EU5PN5IQk9Pz8XfWC7hOFwuBB4u0EGliGZTIq9fHFxIfp7l6Hb7WoI//HxseWSb7cJHREZuoN4MpM7vToNfu5yB1croaqqSEzRuj06OsLJyQm8Xi88Ho9IztXrddPB97YIBAIiqX15eWlr4qnZbOL09FR8RqFQEI6e3W53QaJuJ+iZj8djw4WAbVCv1xeKEBQPGUEwGBRrlffQL8N0OkW1WoWiKKYqeU8yyx3Au1Vm+ZWvfEVjLkAolUqa5tBerycOSzqkOWG4v7/H3d3dRuMLtgV3YrTzs+Wm+f39fUQiESGlcKtvwsnGY1m+QXI8Tp7c7rXi38WsU5UM2SBlU/khb9J22z6fYJeDqZVY56rJZWVuDi0mcCngsvOAf2e3HV45eE/i3t4eVFUVa9Yt2fgycAm4noRMNs1x4jm7Ibnk5wqgfU9uOyoT+DljpSEYl6sDq+9ffke6YUrGv6vVny/Lh2UJ/SaGcFbAiRl0ej29Ho8Hp6enQmljxuyFn9/L9sxkMsHFxYUYdRAKhZ7cLB8T3q1k7k/+5E/wZ3/2Z0vL8DRQkgdUNHOOjBt6vR5ubm42Gl+wLdw4pLmTEcGtoIwHEE7OrJIvUsK25Glb8AuEZ8y3hXxhmnnWPEjeFSIH6K/jXQraeUDOTTlk7ILlv6qqGjnZusor37duu1uuGtLO9/mukX2eXOOBvGzD7+SdxN+rnX1K8sy0ZSYbVvZQbwMjQbJRyElVowk2p5K+y2DlMwC0JA1YPVqDrxcn7yA7+wb5/SUnkEejkcaJ3czvJfdcPQO5wWCAer0ORVGQSCSwt7f3NGfuseHdSuaq1Sq+8Y1vLNWTh8Nh8d/i8TjS6TRubm6ElIQPG3c6EHRrtgmwWDHY1sZ/E/Ag1i674VVQVVWzFgD35IMEmh1DM4asxCYGKbwZ3K0xFXrggcXx8TFarZb4nrtgfrLOLl+Gm8O4N513x/8e9fg4HWCumuNH4JVEt+zml4GTJ27YArg364wHzlY/L5JU0p1LydZV6+bq6krIUZ00pJCxLbGUkzabGFTx7+DGs9h0WDWH3r1rhKDxxIyTZNbqOE0+b5fFPt1uF41Gw7ARCgeNduLGT51ORzw/omSlUgm9Xu+JzD0mvFvJ3GQywR/90R/h4eFByCT1IGfGZdcop+3n3XSKAp4Ns+XzowD7B5IS+IHm5oBW7iBFcOoZyDg7O8N0OhVmH3ZBXvvL5D28f2aXiNyySqGc7XfrO3OCYXb0AM/WOlEt589sE3mxnBRy8pnzwHbds+LvxM3zRg/yfnSLGHPYQeh4AgYwlzg7PT3FbDZbWeF2ApsQS3n+KbBd0pDuCSuVG5t8/ibvgo+0AcyvLdrzdt+RMqxSUHF5taIoa/0Bbm9vMRgMMJlMTBE6fi7v7e1hNpuh3W5DVVXk83k0m00Mh0P4fD6kUqknMveY8G4jc7PZDPV6HYeHh5hOp/jqV7+qcfI5OTlBq9USQZ988OpVplRVdaSE74QWexV4MEzPRZbhURXTjoBCPmjIqMNp8KpTqVTCcDjUyF+c/G40Ww9wLuMqyxT52ueDjnfJip4H8HqXqiwXdLoPlAcrm/Yd8UDazvlaXLa17SwpnrG3W2UgZ7aNBsa8CrYr8/1kqRmwO9/NKkInywo3IdO71NNMiVAjc1BlAmuFAoU/i3g8Lhx+nYJsFGZEYi0nLLZRT5B6xWl59zYz6GRCbybuOzs7g8fjgc/nM7Xu5XMS0N7xVL3zer34W3/rbz2RuceCdxOZU1UVL730EtrtNmKxGIrFIt544w2xUeLxOILBoAiq9DYeLeR4PI69vT2xYYD5ZWF2yLQZ0Ge7YXjAg0295yL3klk9MFS223fL8GFV/4FsrGF35ZRne50mTnoGKYPBQFQrd4nIccKw7nvxde7EsFlAG7htK5OUL2Krk0x8zVkl6eT7xq49wzPbmxBdLnVzW47Lg0Ov14t8Pi++2y4SOrNERD5bVvVEGYHbJIaD7vBl1TF5Xp7VSVv+LNwY6m00ISsPufd6vSgUCltV79387ZvIXGUia/Ysp9/r9/sRi8UMnwvyHSKf8/TvPg0Nf2R4N5G5er2OV155Bff398hkMtjf38dPfvITXZtnvY1DgYzcl9Tv93F9fS2kh5lMxnJHL5L12dETtQ48M73qQFFVFc1mU2MFbFVPG2XVgsGgZSMYzIIHhMskE3J/GWBP4zWXMrpJnOQB625/HxlcDmv0e8lVDzv70DjRtHKd8H/XCoIkX/B2OtNZXdnmz2IbqSRfF24ME5ffAa/g8u/2mAkdV38A1vUi80Dezecjj46hNSS7JdOIGzvOUb5W3Og5X9cqISdFrTx/3XK4BJ5VZo3ITLkj6zaVxOl0iouLC3g8HhwcHKx913I1nCDfndPpFH/6p3/6ROYeE95NZK7ZbOLVV18VOuJsNos//uM/RrPZXJhJIwcUq+yO+QFNM17G47FlF5GevNEp8IPX6OGnp/XfRkJFAbnTencOftka+S0yITDSsG8Uu+LURuDVGmBeoc5ms65/L7o8gc2eE993VleDVVXVDC+3o2eMVxm3+f48Q2xnvw3/HCskcfIetIIs8/PQyd4jXo1b1hvHf++ujH7gweEq4iDL9e0YcbAr/day3LDf74v4w4oKlBHw+8wN8y49EzO5d9muNeyWwyWwXl0lJ2ysIJzD4VC4rufz+aXvmse49Oz5/ybHns1mE3/1r/7VJzL3WPBuInPAPBDu9/tCs/79738fb7/9tgiOZRQKBYzHY1F90AsKqWoUiUSwv7+Ps7Mz+P1+qKqKQCCwlUTELScmYPsePTmY2uSi2gXiso17ppzp2jYrzAnGLhA5XiE8OjrSZJfdyPoSyPgA2O45yRlzKy7/dTPkrMS24ws4IXSiF3RTh0wZXK5mZSIF0L4/I2YE20B+Hut6OR8boZPvCDsrUoB2P7jpUKrXl+S0M7URpYmdkMkbwQkjMbfiqlUxFT+zljnsbop2u412u43JZCJm0vHvdHZ2ttSd/fLyEuPxWMjT+fd9MkB5RHi3kTmO4XCIbreL1157DY1GQ2Txl0Evg0UOTcA8c0GZF7/fj8lkAp/Ph+l0inQ6bToTyC9BN+Z0WdUwLAfERis33GjDLeJiVTZXNg3ZhOjwLNkuuETKRjD0fjjh9Pl8KBQKrlyW8vfa5t/k/Rvb9Fvw4NUpyfC6y3oZeCLFSWIuf18za11WBdhlZCNXVu04n3jAqSgKjo+PDT0HTlh2ldAFg0E0Gg3NnFen7jh+H7kxQ1AeeA64RyzdvGPlsxpwtkro1rgG2ZE8FApZdr+sws3NDWazGfr9vnjXRpJ99J4URUEymRQJvbOzsycDlMeEdyuZu7i4wJtvvon3v//9UFUV3/3udzXBdiKRQCQSWemmtWyANLlVcdcfkl4aDaT4JnNydhSBKi5WShvl5u5VYx14RcAt4sIvGytGUOjJT40GMLyPYBeI3LpBsPIl4YQ7JH9fRhzjzGLbzCkPIt0wYuBB5KqAQQ6y3Br4zoMtI2egvOac+N7cTdaqYFiu2mySRNp1Qsdhh6TSzHdxqiIm3397e3uIRqNCWuzWrFKurnCC1KiqilarpXHrJDjdRsJVVU72wMoJboKdZxYloMLhsEjSG5Xh05mkKAqy2axI5BrtmduN4URPeNdhOBzizTffRKPRwPn5uW5GLJ1OL1w8t7e3qFQqmEwmGA6HgsjJQVkqlRLyBY/Hg0KhgNlsBp/Ph3q9jouLi4UePQ4akArMLzqnidzDw4NmTphViEajKJfLIrNzf3+PSqWyIHHt9/vikJElAU6CN6pbMUtQURTk83mNgc3Z2Rnq9frSOYfA/H0QkTOanbcTd3d34iJeJjHz+Xwol8viud3c3KBSqaxc99uAExC/3285kQPm65f+3el0imq1qmuepId+vy8u7/39fVcc9VKpFHK5HIB59VRP4jSZTDSEuFQquULkgHkCgFwjLy8vl0rhgXlijc7MSCSCcrnsyPcuFAri/qhWq1uv706ns2A0s4kagBtlyaZUbkEmTMFgEKVSyXEiB8ylt6Q2ubi40MxMtRrD4RCVSkUQuUgkglKphL29Pfj9fkEi+FB0J5HNZsWdoke2rUS73Ua1WhX3RyqVQrlcFjGO3Z8vg87zXq+nSy7tgrwXYrGY7WcWScJpdBDFWIeHh2v7qSmOBebk3+x+earM7QDebZW56XSK73znO7i8vMTDwwOef/557O3t4Zvf/KbuhUdN7kSw5MM2n89jOp0uOPoReLaWNOI+nw+z2UyMN1hmpuLGLDWesbSzAqSqKm5ubgRpBCDswinodaMiSaCMu53uoXLTv14GnVco3crccnAjBqPrQ640WO0mx/eMU9JFM25j/Jm52adDWOZMyXto3LZw5+Bnklwhl+cDuvV8ubR4k30qyzatklrxCp0bVvQE2aWS4FbVl7DJeWYUcqXY5/Ph6OhI9zPcbingZ6gdozfkuy4Wi2F/f1/8Tjdn6G5i8rYN+JrjcKoqOZlMUKvV4PV6kUwmTSVTut0uGo0GZrMZDg4O8Bu/8RtPMsvHgncbmfvRj36E73znO9jf30cgEMAnP/lJ3N7e4hvf+IbuZSNvMFkqkk6ndTcmoH85UHlaURR4PB5Mp1NNAELSTDesr7mW2ykiNZvNcHl5udCv6GbQ67SWXu6hoAuFy3J2gchxWfEmQRgnpoA1v4lfxE4PBZbnAOn9Hh7EOm1wsA58wHsgEBA9G27I3taBB8ZE2OXn77b8mAfkZs5PWX5nJ6lwmtDJ9yWtLX6WuP3e1knGzULusQWMnXW0H71eL46Pj7f6DpuAEyqr3D5lOeEqcxN+ljudyDU6fsmqzwCeJTXJrMvJBFq/30er1cJ0OsXR0ZGp33t7e4ter4der4cXX3zxicw9FrzbyNzl5SXefPNNfPKTnxQZ3tlshldeeQWtVkvTA6d3yXDDE8LBwYEgdJFIBJ1ORzfDIw/evr6+FsGUqqrw+/0Yj8e29Pusgx0HuRnIgdmqLKadcCtDqhcAEHaBBFhFLOVKyjYXGL/8tzXp2RSqqqJer4t9zLPKfGSD2xWIZZD7fnchabAMeoYJgPVjI7YBP+PXmcbIRi92ViScJnSykkXPpXLVuB+nYYVrsqqqC6YuZo2D1lnX2w2+TrapUslVSZLprTsDucOl0yRfjs+sdL8lR0hgLrE8OjrSrUo6aTR1d3eHwWCA4XBo2pG3UqlgOBziH/yDf/BE5h4L3m1kDpgTBzk47nQ6+MM//EM0m02oqqobQHP3PnKuTCQSmM1mCIVCGAwGGI/HiMViC5clJys8sJOtmQF3MpV0ibglr6LP5xUCwHpb8VXghMWtbLF8CcoHvxvgEhmriKUsuzH77/J9swuSQPn3cLgdqC6DHjlycnbaJpC/8y7IVmVwueqyKif/M4Az5w0/W+xM2MnOvasSBLsweoZA80wB84oMWTq3KWHm69stWSwnVGaTO3pKG7NnOzf7ctoQRY7xtoXRAeg8PnQy9ri8vITH4xEz6IxCVVX84Ac/eDJAeYK70DtYotEoYrEYAoEAUqnUwp/p9Xpik+dyOVEuJ1egaDQqjFHu7u40hhaz2Uxs1Fwup8lOeb1eYUpAOD09xfX19UpTDCtBB7fP53MlKCYC5fF4cHR0hHK5LCSmg8EA1WoVt7e3tj4PGqwJuGu6Igcz4/EY1WpVk+11EoPBQJCUo6MjyyqE4XAYpVJJZCEvLi7WGsEQOJFLJpOuEzlg/nv0quluB6jLQAYuwPw8JMfa0Whkq1HNNuDfmVCv19eOlHEakUhEBEbX19ca+T5V44jIkQGEE+cN7//lQatVoLVDRO7g4ADlcnklGchkMiK4leeuOQ2uBOEqkVXo9/uoVCqCyCUSCZRKpY1JGI2gAOYSbaMGS1YiGAwKlYNRUxZSKJyenor9mMvlUC6XTd8ZyWRSVAT1TJrsxMHBgVgDy5JzRkB7gYhcOp3WGL3I8Pv94h5zch/k83mxxuRxGaugKIqppN8TmdshTKdT9Pt9t7+GbVAURQSWrVYLZ2dnIrCcTCaaLGqtVsNoNILf70c6ncYv//IvIxaLiT9PQQddarQ59/b2Fkros9kM9XpdbA6SVvR6PVSrVVEptAt3d3diM5NbkZPodDoiM8v7BMiRjhqxO52O5plaiclkIi6NfD7vmsyMAj3gWSBEQQE5qZJUwwkMh0PR75LP5y3vYVAUBblcTlwK/X4f1WpVSBb1MJlMxDNKpVKWuIzaCZ6V3RWMRiNNVZPmAPJg4/T01NG1tg69Xk98ZzobyBzq/PxcV57sJoLBoDhPG40G7u7uxJlOMv3j42NLjYCMgOY+AtYROpJOU4KTXCqNVv5IeUByNDdBd9B4PF5qakb/vVKpiICffnM6nd46eeP1esWZeHV1ZavT5jJEo1GxNrkxjwxVVdFsNlGtVkV8mMlkUC6Xt5ILUjJkOBw66jIJPFsD/X7f9Gerqorz83OxjgOBAEqlkiFVWzweFyTWKVdPRVFQLBYxHo/RbrdNJQ/MxElPMssdAMks//k//+fwer34yEc+4ng/l1P40Y9+hO9973uaDZxKpURAls1m4fV6NZWso6MjfPazn8UPf/hDvPXWW4hGo+JQ44GcnnyJJBUejwepVEqTzZOlKnb0U3BpmBuyQjNNx7JJiFUyId535cQstGVY5SZGlV261AOBgHD+tAv83Til4+fBpZ68lEtRdmV2FoGvo1gshmQyqcnu70qFjkuJl8m4+NmzC2YofF3Ie9RMj5ob0JPRu+FSLIPvpW3OUlleuKkMm59/bvW/6n0XWcI9nU41o4UoGLajH9auHi4zIFMWvXmz8ru32qXYaZfJZZ9t9FyRY7ZN9oJb3gWkTJrNZoaVSd1uF1/4wheeZJaPDVdXV2g2m46XvZ3E+973PqTTac2BRIQsFAohHA5rfj9JLAHgve99Lz7xiU/g05/+NA4ODhYyWaPRaEEOVKvV4PP54Pf7F4Kqvb09TXaz2WyiUqlorPy3wXg81vRBOU3kSFsPLEpP9ZBKpVAqlcTzpkrVNtVisgMHng1wdQsU8AWDwQVbaI/Hg+PjY5EMGI1GtlUpgfnaoHeTzWYdC5APDg6EDIzkpVS1HY1GmuBzl4jcdDoV6yiRSODg4EBIF2lfmZlJZxdarZYgcrlcbqkUbG9vT7iCXl9fL3XrtRuqqqJSqQgiVywWF/ZoLBYT37VWq7kmR14G+cyPRCKuEzlgnizhFbpVM/z0QJUpWhskI9tUhs3JQrfbdbWizb9Lu93G/f29kBFyw5qjoyNb5zDy3ns94x8nQC0g9PuBeZWcv/tYLIZSqWR5lZnaLoB5/Omk9Jt/dq1WW1kdpTmCdB/v7+9vvBe4zPb29tYxCXkwGEQikYDH41lZid0UT5W5HQBV5n7nd35HZIfe//73o1Ao4O7uzpGZTk6i1WrhlVdeQbPZFO6Syzby4eEhPvWpT2kOMVVV8eUvfxmXl5e6h08gEEAul0On00G73cZ4PF6bdZMd84DtMlU86+RW5p0MTzbJ5pE0lQfHm1gZ03dwOxNcr9cFKTXSdC1nRK2sSHCTBDcrlXKWk+Dmd9IDf17LKi68Cd4tsxY+hsCoqQH/bSTPc6o6wCtHlMxY9dm8kmx1hWBT8IpiLBbT/P93xX2TP2cje0u+i6xeF/xucnMuHqBfVQWcvzNp5qlb5kTLXGSdMifj953ThiirqqOyYmbV2AWz4KopJ6uyJOvlZHYZGo0GfvM3f/OpMvcY0Ww2Ua/X8ZOf/ASvvfYaXn/9dbzxxhtufy1LkUql8OlPfxqFQgHJZHIpkUskEgiHw7qLWFVVTfaO96KNRiOcnp7i4eEB0+nUkCUs9RadnJyIIOzq6mqjHiq5GuUGkeO9FZsEXR6PB/l8HsfHx6LycXl5iUqlYjiTRUGq3+93lci1Wi1B5GQZyzJQkz0RuFqtpunF2RTT6VRjX+4madrb21uQc5PR0K5gNBqJ55VOp5dWXJLJpDgD2u02KpWKY+ZGVN2i4JufIevg8/nEmpxMJqhWq45kx9vttiAYyWTS0BkZCAREVbfVamnmGTqN6XSqqShSLzSt506noxkH4SZ4hY47S+qh2+1qelrz+TyKxaKlgSYRd2AeLFqlRNkEcu9uNBpFuVx2/M6k9zMajVypkuvdqcfHx5YRl3VIJBIice10T2UsFhPqKE5oW60WTk9PxZ1bKBQsbX0Ih8Pic7m7td3I5XKYTCaYTqcrDVFub281szHX4YnM7SA8Hg88Hg/G4zF6vZ5rEhw7EYvF8MEPfnDlxUbZorfeekvzv1MjN21qr9ercbJMp9PweDxQFAXZbNaUvNHj8aBYLIqgBZhn7cwE8vRdgsGgK3Kfu7s7YVawbVXX6/Xi5OREQ5bPz891ZwFyXF9fiwvKDdMXQrfbFQem2TkvRPBpLZB5ys3NzUZEYTabaYxF3MyIE+QggoLJXXBaHA6HIrAwIvsk2SVJspyQXc5mMxGAeDwejezTKMgYhRIHp6entpqN1Go1QXRyuZwpgxufz6chTE6ZCHC0222xj8j8gBQDfH6oPN/PTawjdEROKXhLJpMol8u29TB5vV7xfa6vrx2XJ5MTIf1eSn50u13Xzh5Kqjw8PJiWxG6KyWSCSqWi6+zpdP8exQqj0ciU66IVODg4EOf26ekpKpWK+A5kVGbHHFiq3q8jVlZCURScnJxgNptpzPEIdBb0ej1TccYTmdshZLNZpFIpRKNRlEol/NIv/RJKpRI+/vGPu/3VbMHh4SHS6bRGD18sFjVVnNFotPZQ4xbqwWAQzWYTgUAA4XB4Y2mcz+dDuVwWZXAK5JdJOwmNRkMEyG7IY/v9vmYgt1Xw+/0ol8viN5E85urqauHAabVaIttr5XcwC6tGIdBaoFEORHjMXPhc2pRMJndCoib37VEQTJVlpwIaPQwGA9E7m81mDTepUz8EEZSrqyvbAvrxeCzeaSQSMZ0skMGJ1eXlpeW9abPZbKGCuMn5SKQVmL8nO/o/9EBSNHqf2WxWdz7kYyJ0qqri5uZG3GEU6DnhIOv3+0W/1tXVlSO9QxSo0rlDyYFisSj6mJ1aTzLIaAWYvx87EypUhecVoUKhgHK57Ip9PoH2TavVcpzgU2xB8VUoFDLl2Lop6CxrtVqOOfaS8gnQ9ip2Oh2cnZ1BURTTSY0nMrdDUFUVoVAIyWQSiUQCkUgE8Xgc3/nOd1zJgNoNInF0GSuKAo/HoyktJ5NJPPfcc7p/Xz7w7+/vUa1WEQ6HMR6PF0wuNkEgEEC5XBaXHkk49WbUdbtdMe/IDRIznU41hit2ZPaCwaCG2AyHQ1SrVVGt6nQ6G1fCrIQdoxDIrp0qajc3N4ZkuFx2G4/Hd8LqfzKZaPp4IpEIPB6PZlTFzc2NK4FVr9cT510ul9tIcqUnu7Qy49/v98XzS6VSYj9si2QyKc6a29tby6SMRLqAZ3t4G0MmbmBB1Uk71wnNwqTPODk5WbkudpnQUYLw5uZGkxTK5XIbVXa3QSgU0sw7s8uiX1VVXF1dafrjCoWCJslGMQ8A3T46J+Dz+cT+u7y8tPx5UBL0/PxcrOV8Pq+pPLlhn09wwxCFFCuy1PHg4MCR+EFRFEGsLi8vHbvvAoGAGLNxenqKs7Mzcd5zybhRPBmg7ADIAOX/+D/+D6iqislkgqOjI8xmM7TbbUwmE4RCIYRCIXz60592bdiy1Wg0GvijP/qjlY6Bh4eH+NznPqcx3mi323jllVdQq9XExkun02g2mwgGgxiPx2ub+TcFb9YF5hdQKpXSVDmMmh9YCd5A7aSBxbJAyY1nQOBVMLush2ezmWbY67JRBrtkB07gpgPLDBD4MwScMyTg+8sKq2yaSURBmRVGNtxs5fDwEOFweKt/Tw/8HRkxJ1kFPnLEjnETZB4B2DN+hZsXmR05wNexW8Y4MuS9xSt2boGvaavNIJrNpmYU0bo9Q6ZZbprYcEMQK57HbDbD1dWVJvG36ixyyz6fwO91u8xBVFVFrVbTVADz+bwwXwOcNWPhhmBOfu7p6amGNPMz9MkA5ZHi4eEBnU4Hs9lM9Is0m010u13U63V0Oh3XrbetxGAwWJsFmc1mmoU+m83w+uuva/qWisUiIpEI/H4/ZrOZrfPBYrEYyuWyqK48PDygWq1qRgC4QWLo4I/FYo4aWMTjcU21irDNOINtwKtgyWTStkuQMv+8z6BarWp09/xCDofDO0HkjPbtUZWO1vn19bUmm2wHHh4eBJErFAqW9AvJskveL7YJbm5uRNBbKBRsIXLAXLUgV77MZslJGk5rslAo2DJuolAoCKLPDQu2BfUT0VlSLBZN9yDvWoWu3W4vyOfG47Hrw+OTyaTGot+Kfd7pdFCpVASRo9EK6/YMrftOp+PaGIxEIiHu0W1GFhCJOz09Fe/48PBw7cBvt+zzCfF4XHw/qw1RSFrMe5qz2azoEQ2Hw2KNOFmZ3NvbEyTKCXMnSjTyvba/v69JhplJPD6RuR0C9TLs7e0JzTZV6oD5xWTXvBU3EA6H4fP5EAqFsL+/r/vbptOpJoh5+eWXFw63+/t7XF5ewuv1IplM2tIoKyOZTKJUKi0Ew05prjlIlqooiiuZTFVVhbyU0Gg0LJ3ZZxScPDkhZyTJGkkTW60WKpWKkJ/Sn6E5XW5ik769ZDIpggrq87CDqN/d3YlMeLFYtHwPbyu7JGJEkriTkxPbzxkyRuFEyWgyj94VEatSqWTr981ms4Ionp2dbU1O7u7uhOwqHA6jXC5vnCTbBUJHvWL02TQni+S53H7dLezv74sgehsCQzPBKCCmGWlGEwkykXHjTgXmChcKrM2SChovwfcsERajCSCv1yvuDbsTaXoguel4PLZs3mqr1dJIi2kfyKoP+t2DwcDRGILWXafTsTUh3el0RAuDqqribuKeC2bxROZ2DIqioN1u6x5giqLg7bffdqU52A6k02l87GMfw3PPPYdwOLzwu0KhEOLxuNjotVoNd3d3C5us3W4jFApBURRH5Qh6Tao0eFwmN3ah0+loAkw3QL1D1FNWKpVEVeX6+lqQG7tBF66iKI6TJ3mUAfXreb3enZgTuU3fntfrRblcFlWRer1uaW9Bs9kUwcLx8bFtlW3Z7fL09HTBGl0PVGHlxMhJqXs2mxXywKurq7VnS7fbFUSIlARO9J6k02mR1Li4uNhoz5NJC62HXC5nyV52k9A1m01RDaeKKyUBI5GIeGZ8WLZbODw8FPvPbN8aEVY6+/x+P05OTjbqfeLn5jrTMTtBwf1gMDBEaFRVxfX1tSbpRW6Mm8jUuX2+G32EtGfu7u4MnZXL8PDwoHGo3Nvb01X0cNCzv76+duz9cxOcer1u+efSHrm/v4eiKEgkEqJfclvi/tQztwPgQ8PXZW1SqRT+0l/6S5aYe+wKbm9v8fLLL+Ph4QEejweHh4fo9XpIJBL48Ic/jHfeeQeJRALValVoqYG5rvn+/h6DwQCDwcBxww156CQwP3g42bRzKCsf4nt8fOxK1XaVznw6nS40kdvVS8f7MpwcAKqH8/NzTXYtkUi4ul+t7NvjQ66B7XvQuE27Hf1Wy2B0yDj/vcFg0FViPhwORaC87D3y5+n04GVCr9fD9fW16e/A/x65Olq9j53soePnM7C6V2yXzi/gWd9aKBQSFZpl0Ot9suqct7p3bRPwNbPsHaqqikajoZGFWnn30/tIJpOOG2htE2fwPQ3Mk0v7+/uG3yNPvDjZx8Z7t634XFVVcX9/j06nA4/Hg9FopNsLSec3Da/vdrv4whe+8NQz99ixbBF997vfdV2SYSVoJhwwD3wDgQCCwSBub2/x2muv4Z133sGf/umfalwuY7EYhsMhut0uxuOx5YNV14E36dJnU0WoVCqJA5/khlZX6mazmaZPzw0ix7OVeu6dXq8Xx8fHmpl95+fnlvbVAPODd1cCIS6ToGCbspLbZDY3hdV9ezSmgS6WWq2mO57CCOr1uitEDjAmuxwOh4LIJRIJ1yuswWBQZKu73a5mMDoNLqfneXx87AqRA+bVJnpW19fXGvMLPaiqisvLSxH0pdNp2/axExU6Ijd0PpPF+qpEbTqdFu9rG4mjVeCjJ5Y9IyIwvPcpl8ttJYmVsQsOlx6PR5wV9XpdIyFWVRXNZhPValUQuVQqtbbqZBb0Pu7v7x33TQgEAiLpcXZ2ZuisHwwGqFQqYk/THjBbpY3H42ItOVlNj8ViIkm5bd8eOaD3+32oqip6MW9vbxfuHLqfR6OR6X7Rp8rcDkCvMlcsFpcODI9EItjf38f73/9+16R1VqJer+Ott95Cu91Gq9WCz+cz1HPh9Xrh8/mwt7dnmxHBMlCmbJU7HOnmeRBvlTMVfX4qlXJlZhnPVhYKBUP9OLyyAMyD01wut1XQNhgMxGHrVnWSoOcARrIbXq116ntyIkeZPishV+nMuE9eXl4KKbmbBHyZ2yXPzLrhJrcKJJmlqzuXy4k94PV6HU9sLcN4PBYS7GXVabl65dTesKtCx9UaAHB0dKRxYl4HqupTIsxN8PNDvmdkV2c7FSjAbjhc8nd7cnKCh4cHjfTS7qoZ3ytOJ7+AZ66yPp9Pk6Dl4HsemCf/jo6OtvqufB1a4XBsBrTuNrkDVFXFxcWFKFaoqopcLgePx7Oy8sfPpn6/jy9+8YuGKnNPZG4HsE5meXJygvv7e41TnsfjQSqVQiwWwwsvvLC13bZbGAwG+PrXv47Ly0tEo1E8PDwgk8loqnAc8Xgc6XRazJPzer2OH+6NRgPtdnvlocZhNamjQNgt2Rc/XDe5xOWAJxqNbtRXwcmE2aDJavDfpBeQysTHCbkMudIZXaebgvYDMK/+ZbPZle/y7OxM03+2C8SDyy45nA4ezOD29laTvTVr2+8E+IiFcDis6X/j0kI3gnQrCR0Z5FCmfRtpNQWQ8vNyA/wZZTIZ+Hw+TULOrGxuU7ht1U/gbQUEikmcOMe47NRJ2SFhmdxTvt8Aa1sqOJF18s7g55eZ39PtdtFoNBAIBDAajZBOpxfWLI100Tv7arUaBoMBxuMx/v7f//tPMsvHCL/fv/DSJ5OJZhAzMD9kG40GarUaXn75ZXz7299+lMYot7e3aDQamE6neHh4wPHx8cosTjqdRqvVQigUQr/fd3xu0HA4FIGr0dlAiqIgl8vh5OREkO7b21uNLMoo7u7uREXDLdkXHarhcHijbCy509G763a7qFarusH0MtCcN2AeZLhJ5AaDgSByR0dHupUF2dDo/v7eVmMYksPwhm67sL+/L/ZCv99HtVrVNXAiKeCuETlAK7skFIvFnSVyABbOezf3wDJ4vV5xZ/X7fVEF5Zb1+XzelWqLLLnUU8EYQbvd1oyOOD4+3qpHliR1/X5/4+9kFTwejzg/bm5uLDE32QS74HApV+KA+btygswSEomEUMHwXjSnwOWeg8FA3MOcyB0dHVkqtQXmZxtVhuXRHnbCrKMoNzihOHY2m+H29nbh75JSptPpiEQ/3ZH0f5txIH6qzO0AeGXugx/8IBRFWZCfAM+Cd54ZIyQSCXz84x93JVuzDcbjMb72ta/h4uJiwZK1WCxqesMIfr8f0+kUxWLRUakBzw4alRbqgfrteCBvZNA3lxS6IbMAtBUMq9aanO1cV+3j78HtasSqygOBy0sLhQJ8Pp+mUmuFFIXDTQkjN+DgJh38nfEgepfAh18T7DLs2QZyFSibzWr6zeyYJbct+Psn+Hw+FAoF1wk9rz6ZqajxvQ9YKzXkz8vNd6qnKnGzWs3PUqfuQFlSGolEhF2+G1VCvjaMxA1WQ5ZSErY1wzICt9pLSAWxTP5MvZO9Xg8ejwfj8VgodG5ubtDr9RAIBBYS8PxZ7u/vL/QFhkIh/PW//tefKnOPDXzYdSAQWAiWr66uNEEhz2aORqOl0sRdht/vRyQSQSwWWziYvV6vIHL5fB7xeFz8mcPDQ8fJDO8f2GZmk8fjQT6fx8nJibgUb25uVlbqptOpIHKFQsEVIjccDgWRszIY39vbQ6lUEpfiuhl19B4ikYirRI4P4AbmmXTZ6GQymYg9m8vl4Pf7RaWWKkGTyQSnp6eWzPKp1+uu9qJlMhmRcSSTDhqoDjzL6O8SKDgiIset48/Pzx2flbgK8gDxUqmESCQi1lKz2XR9MLYeFEVZCPR2gcgB2uQCl7GtAh83QH/fyp4xXomiINFp3N/fo1qtivOMft+mhkdWIBgMCrLN+0btAJ1fROTC4TBKpRKy2aymSui0GR1fGzc3N44OFCdFGEcmk1k7BN0qUGWw1Wo5+rsp1p5Opwv39GAwEKMoZrOZMMAhhU4mk4GqqhiNRgv72O/3C5Kmd26bUSs9kbkdgkwQVknwvF6vJls0m81cn1GzCW5ubtBsNhEKhRYCcwoAE4kEgsGg6FMLh8OOZwZpUymKYllGiJM6kkgRqeObnjLxwPxQcWIouozZbCZIiZVVJAINPF83o47IvdfrFQN33QCf20ZDcQm1Wg1nZ2eaPoJMJrNw2cnE5u7uTpCfTXBzcyOMVtyUMAYCAUEyAGhc/YxKk50CETmSpNJz29/fF+vr+vp6JwjSeDwWa46kyvSO/X6/CPDa7bauesMtkPSISAGdHfTcdwFGCd1oNNJIRA8PD22rEHm9XrFfrq+vHXMxJCdCuvNoJtj+/r5IuDkpdZNht8Nlr9dDpVIRyXFyYjw8PBT7jd8/Rh0erQT/fCcGitP9rzeb00l3TUqEAs4PUqc7nlpdKJl7fX0Nj8eDQCCAk5MTXRfhZTPzGo2Gxu03mUxqYgIzqpAnMrejmM1m4jA5Pj7W9BgBi4fpdDp9lGTu7bffRqvVQiAQWOpiRtbufr8fk8nE8Zldo9FooWfRSng8HhwdHWlIHRGZXq8nSG0sFnOt8ZvWWzqdtrU3R1EUQXBpPVxdXaFSqWiqTnb3ga0DDyKi0ehC4mU6nQoil0qldKUwnBDu7e2J53p5eWk6+91oNMR32IVeNEVRFsYgUI/FroDLlXw+38Jzi0QiYp1RX5Rb5KPX6wk5TiqV0pXz0kBqYB5g7QJZ6vV6Yq+EQiGUy2WcnJyIhNQufEfCKkJHckMz4wasgN/vF8Hr1dWVrdUIIt2kAAkGgyiVSpokK1UoVFXVJJOdBhEZ6keyAqSsIMkyBefLHJcjkYh4/9va12+CSCQi7hU92aMVoDaX09NTQdpoCDqdNQ8PD4bcx61CKBQSv9vJpJWiKEJ1Qs+EiihHR0crjb+8Xi/S6TQ8Ho94lnxkFa3n+/t7zGYzUa0zs9+fyNyOgoK8g4MDEdTG43HdeV7AfKE5WXa2CsViEZlMBtPpFF6vdylR8Hq9mEwmjts10wwkYF6RsjNIXkbqCG5ZMvMAxqneDY/HszCjjqpOx8fHrpKVm5sbDSmp1+sioDg+Pl7Yo61WayGbyYlELBbD3t4ejo6OxGVBwbiRWTOtVktcCnYMWt4E8nw7Ct5PT09Nm/7YAZIrAvN1vSw5QCQPePabnD5nW62WOAcODw9XKgN4dZFXHd3A9fW1+N6ZTEYzfJr3HO86oSNTHzp/jo6Oth6pYgahUEgkRvgYDatARJUnqIrFoqbtg4P2Q6fTcXUv8+9hdiYXB5E4MrEixYQRBQolVYbD4VbfYVPQuphMJpbI9Amz2QwXFxc4PT0VCVSSU1JCmRKvwJxMOrmH+Tw2J9egfPan02nDZi/xeByKosDr9QoSGolEhIqFVxzXzebUwxOZ2yFQgEgZQZ/Pt1CJWXaQR6PRnetFMYJSqYTJZILhcIhgMKhbneMzOpwOVOmCSyaTjrnFEamTs++buF9ui/v7e3GY82DMKZBJAsfZ2Rnq9borAaA86Fp+R9fX16IiR/2gwDxzy3udzs7OoCgKAoGAhqRTryxlw8n1dBmB4CNL3DLFkSHPtzs8PNT0+N7c3ODy8tK1AH46nYpkWTQaXbuuFUXRBDHn5+eauYF24vLyUrzfYrFoqBJEhI7kytVq1dG+ntlsppGKHx8f61amHwuhoyA/Ho+jXC674hoajUaFFbyVsr6HhwcNUT08PFwbnMo9W05WZZZ9j00cLklOSu/X5/Ph+PjYdE86/w5uJNRl+d82IEXJ6empeK/ZbBblcll3DweDQfG/O+2uydeg3ecbyatlXwqz+5BM/RRFweHhoaaaFwqFNO1DZtVH7t/8TxA4Pz/H3d2dYOV6/SUUKB4eHmqccShwdCrIsAperxe/8Au/gJ/92Z/FaDRCIBBAOp3G/v4+MpkMFEURfWpO98lRyRuA7TPBZFC2FJibv8g9dU5kAe0yPDEDGrwJQBx+wDML/Gaz6VgQ2Ov1NPtrMplo5uUB82dGF0uhUEA2mxWHMskqK5UKVFWFqqpLB3nv7e1pyNn5+Tmur681v7Xdbov3s26kh5Pg0kX++2KxmLiAyRTF6UBwMpmIBE0ikViQgq7CwcGB+PP1et1W23iyqOZmNmZdNck0CpgTACeedb/fF0SZZHqrhoDvKqGTK+l7e3uOj8GRkUwmxfvc9lmRzIvWcDKZRLlcNiwb9Xq9IglycXHhmnza6/WKOOjy8tLQ96DfTtJIcigsFosbDax3un9Nhiz/2+TzyZmVer2BZyROrweMg87Efr+/sG/shNfrFZ9tR+8kMH8u1WoVtVoNiqIIxRDFQ81m0xSRJBIHQDchzROLk8nElC/A02iCHYDe0PDDw8OFg/Xq6krolkulksbqeX9/H6FQCNPpFL/6q7+6c3baRtBoNHB3d4doNIrJZIK3334btVoN0+nU8T4gbhnrRg8SWfBy6/3ZbIZarabJvtlljcztut0cyE3PQbYMl4c8W2kLrgfZjllRFPj9foTDYXQ6nYUDXW/N9Ho9XF9fi0qz0XXFR1IA80uW94rskn0+DQSn6tAy8IHXTgxQB7TvcBtra25s4/V6USwWLT0f+L/v9/u3No3h/V922ofzsRRmzyU3x2lwkKyeiG8ikRDJ1Ww2uzawdQI0UBgwPx6GKi8U9pFd+qbPm4+VcXMsEl/jy9aPPO6JFDBWnZ3X19fo9XoIBoOuzIDd5F1MJpMFEqwXexr5d+jMcnr/0tnBR+FsCxofRefAbDZbGEfV7XZFpc7s2r++vsZgMEAwGFxQ9/B7qt/v44tf/KKh0QRPZG4HQGTuX/yLf6HJ9vIgh89XWQaPx4ODgwPk83l87GMf24nemW1wf3+PN954A+12Gw8PDwiFQo4MKeUyMSdmp8hYdyjrzamzmswQiXJzxhEF/MvmkqmqikajoalS2vG+5HlSwDwbmUqlEI/HhbvdZDKBqqpL5Y6dTgeNRmPln1mFRqMheuMIu0TkeEBu5HKTzzQ7ZaL8s6zYK/LcNJoptC04cTcz82wdKJEAWJ8A4okfYPM16Tahk5Mm9E55cOVmYouDzBeMkn1VVcW8K4JVZwe9N7dIDIHIlHxf6M3stevcpHvTjflzwLNk2jpiM5lMFvrctr07W60W7u/vl85iswtWxmsUU/R6PSiKgul0upLc0vM2O++WvjNV6uTvfH5+jslkYorM7YYu5wkA5lnecrksekvu7++F1IbPl1t2SMxmM+GC6Ea532okk0l89rOfRS6Xg8/ng8/n08jU7AJd3LFYzHEiNx6PBZFbVtngIw3o+9Fstk0aZ2XQWgsGg64RuV6vJ0jasouBxhlww5harYZKpWKZpIyPhSAkEglEo1EMh0NhXpLJZODxeLC/v69LSAaDAW5vb6Gq6saSyP39/YX+rl0wEwGgqRivqshxkAyPnsXp6aktMvF+vy/WdDabtSTpQX101C9ydna2tcTo4eFBkIlMJmOpa28kEhGB9u3trWVmCYPBQBA5v9+/kRyUwImSk5JLVVVxdXUlnj1JDomcc0fJy8vLnTAaozNxPB6vnS9LTqxE5Eg+ZxWZ4aZN1N/pBmSHy/F4jEqloiFyhULB0t8uw+3+OZL0d7td3dmEk8lkIT7M5XKWzImjwsN0OnXUDEZRFJHQqNVqG50bNPT77OwMw+EQqqqKkRyrqpT0vO/u7ky9b0VRUCwWoaqq5jvTmt1k7TxV5nYAVJn71//6X4vggF4yr77EYjHs7++LLATJtWSEw2Fks1nkcjnUajX8wi/8wk7IQzbF3d0d/uRP/gSdTgfNZlP87k0rHKvQbrfFTCmnZSObZphUVcX19bUmEN60osblKm7JZrhkw0wGVa+Cts36oB43VVXh8/k0B2wsFkOv1xNjB66urjQEkldq+O/ZJrPPf188HtdU6dys0FFGHNi8osLXXTgc1rXe3wRcCmNXlb3T6QjJ66aSUf4M7az+8LW4rSyJV4qtrOA7WaGTq8Or9hF/z7tgNsTvC711J/82O+XMvDrrhpqFIFfMCbJEzk7wKrgbFWa+x/Wqy4R8Pm+5DwFfB07vEd56YSZ26Xa7uL29hc/nw2w2QyQSQTqdNvze+v2+6J03GzORCovm1PGEYLFYxI9+9KMnmeVjgh6ZI3BywRGPx5FOp3UPrlAohGQyiX6/j36/j2w2i89//vO2fX8noKoqXn/9dZyfn4sAwuPxQFVVeDwe0w5UeuCHoBuX9bbab5LecJjpDeJyFLeCFX4Zb9qjIsulKLlh9lIlyQwwv5Tb7bZGBk0DTFutFlKpFLxer1g/wJzwpdNpcblt03PDZRnpdBrxeFyYwxDJjMfjjps08N63bQMXvv+A7QkqPzvtlsfxYIkcWI08C54wAJzZdzzg2qQnTw6Y7QiU7SZ0cgLM6N7hEvhdmOfI3yXJh2mYsVV9cUbB7w+rZMdmMJ1OF8xYNun/sgJu98/xJJYMu89CnvRwOiFMFX0jskciYT6fD6qqir73TWSi5GcRi8VMj5DicQbHyckJLi8v8Tf/5t98klk+dpB+F8DCi4xGoyJgjcfjmgWUSCRwc3Mj+niAeYD7mHm7oih47rnnNMHdbDYTFbrz83NUKpWNLWrp3wDmF4DTRKbT6YjgZZN5cg8PD+ISK5VKIinQarVQqVTWyqpoOCgwz9i5lXWmylMsFtuY+NC+oOwwOV9yw5R1kOVCtVptwb3w4OAA7XYbg8EAiqJoqujA/J1SoJVKpbYmch6PB9FoVMgESapBVax2u22pxHQdms2mZUQOmJMgLmvZdN4OMA+66ewsFAq29zmRxBCYk1Ij4wBo1p2qqsIwxol95/F4xHclWY/Ru4HmHwLPhpTbUfE4OjrSjFaw8u4iJ1UicoVCwXASZG9vT5ytu+C+Se56wLxSenp6qkkOFAoF2+ejEviYFSvHJ6wDzUQ7OzsTdyAlMGW3YadAkk+35s/pJcGOjo4cGa0Ri8XEOWbl7DsjoF7Ju7u7pfcgjRm4vb2F1+sVMk0intPpVFeiugokw+50OobvX3JVlb8/nUWnp6cLPfKr8ETmdhhUqqcMP+9F4RLM/f19Te/M9fW1ONSI7Hzta1/DN77xDVc17dsiFoshGAwuSAP29/cxm83g8XhwcXGxEakjAhCJRBzP5E2nU83QabMX72QyEUSDhkZnMhmUSiXRX3l3d4dKpYJWq6V7yXLS4fQICEKj0RDrdtMKE73HQCAgegEoQ0c9qOv6zPr9viB+VCGViRowvxQoWXJ5eSkyocViUXdw+KaJhouLC3i9Xni9Xl2iHw6HUSqVBHm9uLiwfQ4fH6Fi9aDyw8NDQVCbzabpoJlccYH5fnJKXkV9dHR+rOqjG41GYs/R4Fgnqzz0Xal6wmcgLkOr1RKyvVQqtdFZZQZcBmYVcaIZh8A8IVoul02vj0wmIwJiuyzRzcDr9Wocj4FnfXFOrX1CLBYTZJeb4tgB6nXkM9FoTl4qlRLnodPzzwhu9M/RAHTZLC+Xyzlq3EO/3Wwv2bZYNcic+gVrtRo8Hg9msxmOjo40qi763vIYoG0+VwaNO6B3FAgENARuU+OcJ5nlDkBPZsklC/JFL8uRaGEC87I2t4im/+71ejGbzVAsFvGZz3zGiZ9lC3q9Hl5//XVRIj88PEQwGNRcHLQx9exk9bCNxey24JKlTRyw+N9fJinRc31MJBJIpVJQFEVYXQcCgaVzz+wG151vKjXjsjp5z+i5uen1DPC9xdcO72kCnkmXyNqZH6OpVEozc4f3tkYiETE/0Qhub28xGAwwmUwMBfyyc5sd/Su8v81OOZXskmikx4O/Jzf7mvhalKXO/Lxx0y2WUK/XRZVK733KskqnHR3lkTybEEi5Z8iK30BZ9VAotHbwvF3Q6xMG3JeA0rPZRHa2DnpneSaTWWhRMXI32g2n+udkWSWNXQDg2siAbXrJtgX18/p8PuTzec34BVVVV8aF1Hvn8/lMD+6m+0ev75tmB9NZpqqqppVAT2755Gb5yEGzbgDoat1p09JlRIs0HA5jNBoJIkcl59lshvF4DFVVV2qpHwMikQg+/elPIxAIwO/34+HhYSEDOJvNRKXu6uoKlUpFt7ICzC9Deh5O2ukSqCLn9/s3ysjQYbmqokiuj6VSSUj0Hh4eUK1WUa1WBelwy1Z6NBqJ37Fp7+NoNBLBs16lSFEUZLNZnJyciMOT1gZVzGazmbj4stms5rDPZrOaatt0OsVkMhHrDID4861WSzzTUqmEUqkkgr1er4dqtWpIPvHw8IDBYGBqzmIgEEC5XBZrqVarrc0UmgGZEAH298V4PB6Uy2VBhK6ursR+0cPV1dVOEDlgLn2nYKrVagnC32w2NYYsbhM5YB7o0jM+OzvTzLEkSSIAIQV12pp/2wpdo9EQRI6q2Fb8BjoPBoOBbl+7nSBCQ0ROURScnJyI9aTXS+8k6Nl0Oh3LHHdVVcXt7a3GmXN/f1/jKstBMnRgfk+6Mdg8EokIeT3v47YKDw8PqFQq4kzx+/1iqDU5gNOdb8fnr0I4HBaJRKdjTqp0TSYTMT5AVVWh1lmV4KezcDKZmJZbkry23+9rYs77+3tUq1XhlKmq6oKrqt74JTPn1FNlbgcgV+Yoq6CX8eMOVZTtaDabC70lpJOXHYxisRg+9alPuVaBsQr9fh9vvfWWkM3JB/Xe3h48Hg88Hg+63a7oGZQrFZQN0cvs2Y1VlSQj4Fk/M5kvVVXRarU0ayYajToyw0/vu/DAY5PnwCs4Rh265Op2IBAQQewy1zf573i9XkEEabYRfyd6hELeq8tMPvr9vpCdFgqFjUiT/H23HXrMf5vT7plyZUUmknRhA+5XJTjk6iJhl+YDEvh5dHh4iOFwKOSqTg12XwWzFTp5/dvh3sfPL6eqrLziASxWnYzOGrMbvGq4jUmO3n1lxthrFxyarZw/p6oq7u7uNC0zoVAI2Wx2aQKLPt+OPbAKfH84VdGfTqeo1Wqa3jWz8R1fu2bvE35XHR4eavZqMpkU703vPuYGS8C89/HJAOWRYjQaiay9XpmWz5sjyP10wLyHhxaUoihCaplOp10d7GkVwuEw3v/+9yMUCuHw8FBUto6OjrC3t4dkMokXXngBR0dHiEQiotG1Xq+jUqlgMBiITRYKhRwncpPJRJPNNdtPRTMFAfMVRUVRFgKzbreLarVqe6+VDFnbX61W0Ww2TX0HCpb39vYMX1RktkHJEl6N0AtauUFOJpPR9OIB8/dxd3cn3smyCqN8eJ+fny+YBYzHYzGTLpfLbVz9ot9I3/P6+tpQb5Qe+v2+5rc5TUTIYIT3KnU6Haiqqqmu7hKRA7RmIwQ3np8RxONxcefU63URVOTzedeJHH0PSsStq9C1Wi2xX2meoR1BrKIo4vxtNpumM/lmMJ1OUalUxL0Vi8V052DxWWNumG8QvF6vWE+bqgOookFEjmYAGiVywLylgM5iMyZYVoKqLtv0z/HKJBGCaDQqlB+rlAgUL15dXTl6vyuKIgoHcjuC1SACdnZ2JohcOByGoigL5mXrwPtQ5YLIOvj9fnHP8xizVCqJXmNAvy9PduA0s3+fKnM7AKrM/at/9a8WZEScvZMeV0+HzrMBvIcukUggHA6j0+kgGo3iV37lVx71zDkZ3W5XNLUeHh7iueeeQ6PREIPGgfkB+r3vfQ/39/e67kpuBIA8U8ebhI1mr+jvkx21WVxcXGA8HouKnCzL2dTO3wx4xrRUKi28HyPZV+r32cRincDn0xDkrBk9bz0Lcz5vC1ieoef9bEdHR5jNZhrpSyaTQSgUEoYn2zhgypB7a8xUEfioB6f7pfSgJxWnyuiuYdncK6cz5EaxzTpxCtTjCyye3fL3d2rmGb9/7Xi38hmzTuJsVVXMCvBqg9HKmDySiUYxbXofuVEhkrFp/5zeHFne824UqxRfdoM+246+/MlkspAs4NXqSqUCj8eDbDZr+iyge99oz+V0OtUMZAdWV+D0+vJ45X1vbw9/5a/8lafK3GMDn5/GCRxJCSnrp9dQzKtwR0dHSKfT8Pv9SKVSeM973oNgMAifz4fhcLi0f+wxIhqN4md+5mfwK7/yK3j++ecRDocXJEz7+/s4ODhAr9fD0dHRwuahapBT4IRFztRdXl6iUqloDm4ZdMlxPbwZdLtdkbmKx+Maxz3KDJGdP1WIrMZoNNL0XimKgr29PU1f37qxCu12WzynTS+I0Wgk/v2TkxNRob25uRE2/3Swer1eXZdN+X9rNpsLWUjeB0v/ltxLcnNzg/Pzc/j9fkSjUUuTLl6vF+VyWXzXZrNpyPV1NBoJIue0I9oyRKPRhWr0pkTeTtDoAWBeHSqXy0L2dnV15WrVRA/D4VAQACIjehJ+t8EJGq/Q3d/fi+9PlVynhlf7/X4RIF9dXVnm4DcYDFCpVERsQC6V66r1Xq9XfB8re2Y3wd7enjg3ZCWGDErO0h1HTq/7+/tbJRa526DdFaJl4P1z654D8GxcEB+jkUqlUC6XNyK2dPYPBgPHY0D67NFoZFn1msaqcPJEPXGcePG+SbPvne6ZdX+X3hVX2VD/3KoK3GQyEfEXVd6vr6+FEsLMaI2nytwOgCpzv/M7v4NwOCyybmTIwGVReplGfuGm02k8//zz+MEPfoCbmxsUi0W88MILePnll+H3+8Ul8/nPf95VgwAncXd3h5deegmqqiKVSonh2jRYnUvskskk9vb2bKtI8T4On88nzFqAeUAql/TlrA7vmdy2v0xGsViE1+tdOoj+8PDQkufCv8OyjJeesxPvN+CZ8E3NLvgg7lwuJwJY2nd0NNL/u+x504BjmrPESVsqlUIikVh4ptzhslQqieHRoVBIZBHtgqqqCzOZ9GR0svbfDTc4PSyrdm3bE2gleGVE7l3ie3gXetEAbZWcqv38rNr1Ch2Hm+uAV423MeGRB39v2tPcarWEJM+tfjECnel6igu5D9DK+4aDuxyadSq0Cuv65yaTCa6urjSJNit67QDtme60ImmbPjQOfn4S1lXDyRU6EAiYvlupiqan/qGqKZ1Dqqpq7srb21uhipP7V/n5ytV0wLMefq/Xi7/1t/7WU2XuMWJvb09k3Ug6xMlbrVbTZCOn06kmc6ooihgwvLe3Jy62D3zgA2g0Gri+vrbVgW4XEQ6HkUwmRRBImyaVSi0EqKTRv7m5sTx7x/uuaBYcXfZHR0eaaiIddFSZpf4gOsQ2HQRLJOrg4EBT3QiFQjg/PxdBcjwe11z+g8EA1WoVtVptq+dCpIU+Q48gLKsE3N7ein5HupDW9QqsQrVahdfrRSKR0FwEtO/y+TxUVYXH44GiKLoz+u7u7kQygOQ7lDkF5sGUHpHjBzv1b4bDYQyHQ9tNC8j5jvpZaP4ebxgn6Qowl3/uCpEDnjn1UU8gz4Cucrt0CuPxWAQtyWRy4X0Gg0ERSN7f37s22JhQr9cFkTs6OhKVcR7wNpvNnZtRKkvFaIi5m4Q+Go0Kcs6Hd5tBs9nU/N1isWhqnAlHKpUS94pb89YIJIPmbr80OJn2gN/vx8nJCXK5nC1Eg7scmhnIbCWW9c/xShMROarEWkHkAK1rttPnDnk2AJvNIKQqNSdyNOx7nax5f38f0+kUw+HQ8FBvAlXRxuOxqJDy/kUy1yOHSn5XkoqOq6EIPA6X+9gppjDTW/1E5nYMcsZqOp2Kg4+CFiIlZJ5A/61YLArCFgqFEAwGcX5+jslkgkKhgIODA2SzWXzwgx/8C1OVA+bBUzQahd/v1/zuy8tLEaCUSiWNMQxZyFcqFcssjXkPQDqdRrvd1gydpiA1lUqhVCrh5OREyFPo4ADma2QTuRvvz4pEIiLwjcViC423Pp9PI/WkAIVI3aZklwfbehJRkj2umk1EvyMWi20so7q9vYXP5xPVWj0QMaP/3ul0NLbY/X5fSDRlk4tEIrHwvxEom0ffnS7VwWBg+QDuVSCbdroILy4ucHNzI3T/wPwyctocaBW4FTsRjUgkIv7/nU4HlUrFNVnZaDQSJDidTi9dWz6fTwR1/X5/48B/G5B5DO1zft7w70nPlld53IYsWwbmAdEumN8kk0kRMJsZpUDEhpJZZLS0rVkOVRN6vZ5rBAbQzj6r1WqawNzr9eL4+Hjj0TRmQPuu0WiYNh6zAlx5cX5+Lt47V+WQXNCOxATdrW7ILam6pKqqYfk2DUKne5/O/nUjBjgURcHh4SE8Hs9GsmMut6QELcnk9/b2xB7V+018mDjh7u5u7fiQUChkqo3mSWa5AyCZ5f/5f/6fC5c/b8AMBAK6A0KBuYSC/mw2m4XX60Wj0UA2m8VnPvMZkQXo9Xo7I0VyEv/m3/wbIV2IRCILuu1isagZFt3r9dBqtTTBQT6f37hnSJYG+Hw+QeQSiYTmEJDlMHqyMrMN0PIwaQ6SAPAGbY5V8ksz8h9upMFBDfr8d3IZIv+OfMAxMA8Cjo6OTFWbe72esP03Sp4oE9fr9eDxeDRBwDKDAVk6xEFGKu12Gw8PD5hOpygWi64lWfSkK7smrSPTHkBfMkaVb3o3Thsd8Pdt1ArbitEcm4BLfLxeL4rF4srP5RIpM7bwdkAeOXB8fCxk0cFgcGfcmkl+vc6cZzab4eLiQqxbO8yndsUQRW/IuRtjOjYd62MlqN2Dw6kzy025JW+zWGXkIxtdbXLXy7i4uIDH40E4HF5IYK+D/L54DMbPcT15NY1VCQaDKwk0Ef3xeIxgMIgPfOADeM973mNIZvlE5nYA8pw5And04sE/MA92I5GI7kDOUCiEwWAAv9+PfD4v5o9QP94u2mLbjW9/+9v4wQ9+AI/Hg2QyubQBmYIB2rjhcBj9fl8cdqqqmnYrW9bjAzwz/1h1uPHDLxqNat65ETIlO3mNx2NxSObzefh8PuTzeXz3u9/V7UHhICdV2QFyXY8D/w3LZiASKLMt//dMJqP53vwdGu2xmE6nuLi4EA3xZvcC/X3+u/QuQx5wUrDS6XQ0lcn9/X1R6aDxGm5CXqd6rrluYZWDoQxeQXKKkPLAYxMHRT5Dze5h7DypoufOugw8EN/b2zMdDFkBfu7wPhS+ds38JrtBCdZlDoLyXCk7iQ1/724E8LVaTdOfDiz2kzoJOlPC4fDCGCg7oefG68acW+rncvr3A6vJtHxPkrmQFWciJU7o/jfyb8p7FNDv0aN4XS95IydLiQAGAgGEQiGRzPd6vXjPe94jzLKGw6GYTfdE5h4BuAEKOeqtIgDAnNyRrf2yANzr9SKZTGI4HMLj8WAymWB/fx+pVAof+chHUK/XkUgkdir7bhfG4zG+9a1vwe/3o1gs4vvf/z46nQ7i8Ti63S4eHh50HcjK5bIYCQFAQ+qMHsAUqJFDoXyQE5Y1OcuDzfWGhnq93qUSFW4mUi6X0W63MZ1OEQ6H8dxzz+G9730vbm9v8cYbb+Du7g5erxfj8Vhkh3gmST54ZVK3jFwua37XqxgeHx9jPB7rVvEAbWZZribGYrGlzmfUr+fz+TRSqE1AgREZFSUSCWGcw/eubMbAbaZp9qOVIwi2AUnC/H6/Rt/v9oBrvv+MBqH88rS7WsPNQ7bJrHMjK7sy9Dww2SSAdIvQyaY9eoTZjQHe67CMZMrn3qYjZsxikzEB24AUDTwBSWZT9FzcGtPB340TBk/8nADmJOXg4ECcU25UCN0aJg48U1okEgmk0+mF5xMMBoU00kq02210u10Mh8OlrRDAIomLRqPY29sTyVy99yWPMpBVBIRyuYyLiwskEglRXCBZ5S/8wi+Ic5m4wROZeySQ3Sw5lrnhrYNe5Y6khOFwGPv7++j3+4Lw/eIv/uJfKGMUCqqTySQeHh7w5ptvotfriXdBeuhEIrGUVFDgvioTzKurpVIJ7XZ76RgEveCKDhTqKZBBPZEEOYull1UKh8P46Ec/inK5rAmIer0evvWtb2E4HOLy8hInJycaw5JlQb2e82QgEEA+n4eiKCIDuOw3rJKAcng8HsRiMdFEzSHPJdKTgl1eXkJRFOFeaQUeHh6EHHc2m+Hw8FBI7ZatCwoi/H4/gsHgTlS/OGEql8tQVRW1Wk0QebcqMbR2APPVBNm5dRt3wWXgVUArSC9fx1a7MvLq3zZSO07onHDjlM+HVe+Rf7ddcTflpCGVSqHT6YhkSTAYtM3sYxkoiLa7IiPfPXKy0k2pH4EH23acD3qJ11AoJNRSwHwkTbfbdaVK6eY7WFawcGLGbaVSQTgcRiwWWxpzEeQE8dXVFUajkZBZcvDzR24V4W7l2WwWg8EA3W4Xzz//vEjGy/HCE5l7ZKAX9i//5b/Ew8ODJiteKBTQarXQ6/WQSCQwm82Wzicql8vi7+/t7eHu7k40PO/v7yMWi4nNwyVryWQSL7zwguODJHcNDw8PeOedd1AoFHB/f4/Ly0vc3NwIJ0mv14t4PL507pk82JQHkx6PRzgeAfODk+ynZRAR4ReN3kHLD46DgwONNMHj8SCXy2mCIPrfotHoUvI+nU7xpS99aYHALqsaklSFZERnZ2eafjKv1yv+b73fIEtAp9PpQp8ZrfvBYLDSTlpVVbRaLU3/IRHkh4cHdLtdjEYjy01GKDFAgTIZMSzL+p2fn0NRFHg8np3o75GHt/NnI/f92RHwLAOvVG0TaHCJppVDpCkIA6yVRnI5nBX9aXLQZMU7dIrQ8TVg9HN4gLoLQ+4B/V4xt3rX+HqwoyIoywhXvTdKhixL9DkBfv5ZVR1TVRWNRkMTqy1TrfD34YYKwg25pV7FdtPxG5tgMpkIsy9q+5BJ9zKVDx9pdHx8rDlL9fY5gdo6+H8Ph8P4mZ/5GTz//PO6f+eJzD0yyD1zq0qzyxzFIpEI9vf3cXZ2JgJEI4MpgXmmKJVK4bOf/azrfTu7BBr6+84772AwGCASiWAymaBer68cChsOh5HJZDRVgUwmg06nI8w7uAlLNptFKBTSzCvhWDeLjWeg9Uw3MpkM/H4/ZrMZPvrRj+Lg4GDpe769vcXXvva1BcKqFwRzbTs5YtK6pWQCYVkGmlf1SqUSbm5u0Ov1EAqFMBqNMJvNBBE2Y1ZCUkYC/f5tG6hXgQ5y+r60Dvh3bjQa6PV6mE6nrmWjOThxWBbkyxI3J/o7eHbUCvLBK14k69kGvMplB8HlhGSb3kX+7+jNSdoGdhI6uapqlpTxde22TFhvtqfdfZHrIPcwW0F45b6gSCRiaKTCurlrToCSkNueDXp3jxGzMr5e381yy+l0ilqtpjsewCmpMYFiF7k4sqpVg9DpdEQC4OTkRAwNl+PCYrEIVVV1/QG8Xi9isRh+7ud+bmmS+onMPTIsM0CR5SXcBKVUKqHT6WikZYRMJoP7+/uFZuNVSKfTeO9737s0Q/AXGaqq4v7+HslkEr1eD6+//jr6/T5arRbG4zHK5fJK50JFURCLxXRtoeXhpXoZPT3ZAZH6ZQEaBZsejweZTAbPP/88ksnk2gOh2Wzi1VdfRavVWjDcoXl9wWBwZU8nET89+SWvXsoaeY5YLIZerycqmUdHR6YTDdTsTH1ge3t7jsxLo7VAMgu6pLrdLm5vb6Gq6k4QOZ40MhLQyYZMhULBlt/A14WVQS8nNh6PR5gPmQWvPtv5HnnAvQkR4/2kdlXP+He0giQD2oSUEafNZeDJJicryhy8p1hRFOzv74vv5PYZwMnXNs9HTj77fD4cHR0Z/veMuhvaCVkhYpbc6hm8mK2qk/zVDbdYu+WWeq0UdC/yZ+/kniD340AggH6/b4jEcVQqlYVh3wCEERuR86Ojo4XfnkqlEI/HMRgM8Mu//MtLkxhPZO6RYRmZI+i5H5VKJY0Vql5WAHjmoqUXWMs4ODjA5z//eVeakR8b/vAP/xCXl5cYj8eazVosFtHv93VJNgDRh0YZ7XVOiBzUD8eHj6+TX3q9XmFx+7GPfczQb3vzzTfx1ltvIRgMIhgMauY31et1+Hw+kVmLRqNQFGUhu0UmGiQ3lHXovDJ5cnKCdrutMVIhkPvoppfb2dmZuJidduxaVkV3u1IAaIMXM5U2WUZipWwR0AbgdgR2chLCzLtwY4zApp/J5Yl2mztYSei4dNUKExN+7jgZKMr7hO8x+o1uSgsJnGyarQjpVSM2Pdt4jOPWqABOOIyulclkIkYeETatMK6zt7cbdsgt9cYd6d0ZdF453TfY7/fRbrfR7/dNt19MJhNcXl4KMif36OqNniBkMhl86lOfQigUWnk2myFzf3EmRz9iRKPRhd4aPkCanCozmcxCw3c0GhUBZTAYXJrd9Xq9iEQiO9FfsOtQVVUjE6ALwO/3w+fzLSVywPzS4g36eocHETUaHEoYj8c4OzvT/He9v8+DCK/Xi4ODA3zgAx8w/Pve//734/nnn8fHPvYx/OIv/iI++9nP4kMf+hBGo5HQtVOVrNvt6vZw0vMhi969vT2USiVByojIBYNBeDweXdJDWa9NiRxVLvv9vhjS6iRo+Lsc3OyC0RCdH4lEwpRk0uv1olwui3dSq9VQr9ctGXhNlUvg2WxDq6EoCsrlsgi2zs/Pdce7yOCBFj0DJ4gBfV9aQ9VqdWmAQN/z/PxcELlisWh7NZpbcT88PKw8/5ZhOp2iUqmId1EsFi1xo9zb2xPr26yJ2KZoNpviDPb5fCiVSpo9RsHqdDrVTWA5iWQyKe58o20ZqqqiXq/j9PRUELl8Pr/VgPNoNCr+7jK1ht0IBAJizeklUznG4zEqlYpmrmU2m9WcLWahKIpYG7Is1wmQlLvf75tSdckgJVOlUhFEzuPxoFAoLJiuESgB1O12HR3kHg6HMRwOEQ6HdZVTq+Dz+eDxeODxeBCPxxdib664KhQKGqn8eDwWjuJW4YnMPRLQQVsoFDSZT9o0wFwGlUgkNJul0WiICyOXy8Hv96NcLi9kBFVV1VRgnrAciqLgl37plxYySHTA+/3+hawa/d880NFzWuMX2XA4FH+ebHo5uNsgQQ6kAoEAisWiKVe3QCCAn/7pn8bJyYmQVabTafj9fiQSCbRaLU1ASRJMGXIzs6IoSKVSmj87HA5RqVTEv1cul0VDMs1w2wTj8Rjtdhvj8dhywxMzUBRloWJerVaXmhg5AZLTBAKBjasoqVRKJIb6/T6q1apuH4RR9Pt9kZkvFAq2Vy4PDg7Efrq5uVnIHnNQ7yww34duVFOKxaIgBKenp7rPmr4nl+I7VQHmhE52ll0HnuAKBoOWf2/qGQbWB+nbgM5/XhFdJhGlc+3+/n7tbE+7QYni4XCoMY/SQ7PZRLVaFT1hRGCsUPPQefLw8LAVmdgGdB5Op1Pd4J7uK94DRUlXK5xTOek3kmSyGvQOLi8vTSfoVFXFzc0NqtWqiDmDwSBOTk5wcnKytk2CEq527lE90Ozdh4eHlYkyPRQKBWFKKP9dj8cjkgOtVktD8mezmaav0go8kblHADpgA4GACKjL5fKCVTg10fLhuoRkMqm5VLxeL46OjsT/HQwGd2Iuz2NBNBrFe97zHmQyGU01U1EUZLNZeL1eKIoCr9crslJydYguBTo06UAhtFotcaEQEZdxdXUlAojJZLJwAfEDZRvEYjGEQiE0m00MBgPs7+8jl8uJgEW+yHw+n26Gst/vi0OsVCotkMCHhwdxkRCpMwtVVcUYgkwm40qvDIFLS/mevb29RaVScTQLCcyDMSICfP9vAkoM0bu/uLjYKKs+GAxEj9QmvZGbIhwOC2LW6/U0SQXCdDoVWXI9hYSTyGQyou/t4uJCQwJGo5H4nqFQyLHKIYdM6Li7rh5UVcXV1ZUg8ZlMRowzsRoUpE4mk5XEfVPc3t6KAJ8I6aqsu6IoYv/VajXTQaSVUBRFvLdms6lLpNrttoaoplIpywgM/x60vzYhE1aBnkWj0RCJkX6/j0qloqleHh0dLa00WfH5Nzc3jj8Dv9+vkQMbwXQ6xeXlJarVqiCg8XgcpVIJ+Xze8P1La0lV1YUktZ0gVZrf7zd9NvBqqh4JpeQA3S/As/mCq5y5N8ETmdtxqKoqAiQ5kNjb21sa+BwfH2sqAnrN77wpM51O4yMf+YgVX9lW7FKH5/vf/358+tOfxgc/+EHkcjmEw2Hs7e3hPe95D/L5PHK5HIrFIvL5vHhX/GBTFAXj8RjVahXn5+e6jkcE+jPAovwSmF/CeodJOBy2hMwRsRwMBoKkDQYD/PRP/zQ+9alPLWRm9dz3SJ4DQLh7EbGj50Jr3efzbSz5vbi4EDPcrL5ozWA0Gmn6dYD5nuX9EGdnZ2uDXqvQ7XY1Vv9WIZvNirPp4eHBFEkdjUaiUTyXyzku8/Z6vSiVSuIcPT09FcEsyZqBeTLM6RlQekgmkyIpVKvV0Ol00Ol0xFmeSqVcHTHDCR3vf5QxmUxQrVZF0HZ8fGy7Qyqt+V6vZ5m8cTQaoVKpiEp7Pp83TEgDgYCYK+WGrI6Dj0nhfUBEYqjSGovFNHJ5qxEMBsX9smy+q93weDyian9+fo5KpSLuLY/Hg2KxiHK5bNtZ5fF4RNLPqPTVStA51+v1VlZIae2fnZ2JP5dOp1Eul00ZiXAQwXH6d+/t7WE4HGI2m5lWmESjUTF2Sq6y61VXg8GgLUmrJwOUHcAqAxQa5qvnRsYdiMrl8lKTEz13JtlJMBwO47nnnsMnP/lJC36RPVBV4H97C9gPAZ84AtL2GxMaxnA4RL1ex2g0wvve9z4A88MwEong7u4Or7zyCgaDAUajkZAl0vyzdruNQCCAyWSCyWSCWCyGeDwuZqMRuF1/IBDAaDSC1+tFKBSCqqrweDzCjCQQCCAYDOI973kPfvZnf3br31ev1/GNb3wDrVZLkNa9vT188pOfxB//8R/j5uYGjUZjIYjn5gvLGoLpcNOTZ5m1K354eBBVSjfd4niP1TK7Z9kB1WozEQ7e3G+XAQtZMFMSad274+eX3SYdRsDNIKLRqKVGHFZDzx3OzvVjFtwURR6twO8epw0P+PfaxgpftqA3asOvB1LT0DnoJpY5DDs93Fxv7I6TkO8iMh9zst/ZqXEBelhlBqNnamLl+U1O3E6fu4PBQFSmzZrwcNO6crmsa1oIzNdRKpVCJBLBL//yL6+tWpoxQHHXUu0JKzEej4VRhCypBKAJhFbJNJrNJrLZrFg4vNpHGAwGaLVaUFV1Z/vm3rwBXjkD+mPgyxXg54+ATx4BxwnA7a9M2nAOuoRarRY6nQ7S6bQo5xeLRRweHuL09BTvvPOOeOZk1vGzP/uzeOmll9Dr9YRcM5PJ4OrqCrPZTBC5QqGA/f19qKoKn8+HdDqNt99+G4qioFgs4v3vf78lv4/mo9F3jMfj+OhHP4pvfetbOD09FYFvMBhENpsVFQ0iK/F4XKzRk5MTzTB1RVE0/YHHx8eCGDcaDTQaDUMX2ng8xt3dnamZdHaBfn8ikVj6vcPhMEqlkhieWqvVxDu1UhpKMhhgHvDb1UdFa44uskajgWazqfsuJpOJOL+y2azrRA6YV71CoRCurq7EenZipt4mCAQCmlE10Wh0Z4gcMN/X5Ljc6XSgqioODg408wrdIPBUWTk/P8ft7S18Pp/p58ZnggHbz2kjt2nqWXMzcRCLxTSxAe1pp02bjo+PcXZ2huvra0edHZeRWaeJHDCXBl9cXODq6spxh89AICASWjc3N8hms5pkF/BMKmy1LD6Xy6FaraLZbCIejzt2j4dCIUwmEwQCAXQ6HVOJHp/Ph3A4LCrZHDTb9uzsTKiR+v0+bm9vLTVmeyJzOwwuuxsOh5pLhxsoUMBMdvAyBoMBTk9P4ff7kc/nxYaMxWKYzWZintd4PMbp6akrh/c6DCbAH/wZMJ0BHzwAbnvA7/8Z8PUz4Pks8KEM8PEc4N+trw1gvpk/8pGP4PDwcKG6Wi6XUS6XxXDs4XAIVVXh9XrxkY98BLPZDLPZDLFYDD6fD8FgEJPJBNlsFoFAAB//+McXiH4+n8d0OrU0aI/FYojFYhiPx4hEItjb28NkMhFEhJBOpxfWoNfrFf+bLL+gmSwkR4xEIqLfkIMbAOldHlQV8ng8msSFG7i/vxcB6zqDEdLcp1Ip4Yx2enpq2awhPgYjnU47EvBHo1GEw2Gcnp6KCiUP3KfTqchiHhwcuJJ5XwZ53d3c3CASiexUgkse4g7M5Twej0fI9nYBNJaEemn4OeHW3Dfg2Ry0y8tL1Gq1pWeKDOrxI0nZNsPcZVCCq9lsIhQKueIq3Wg0FnquDw8PXYkFvF4v0uk0ms0mTk9PbSczMlGh2a7Uz3t2duY4oaL+NXL5tWqtGUUmk0G329X0ewHPzNjs2r+KomBvbw93d3e4vr52dKRQsVgUvd80dskIHh4eNIYmgUAAqVQK9Xodl5eXQuI9Go0wGo2QyWQsT2Q9ySx3AHoySz7QkyOXyyEYDGpslv1+v8gi8AGlgUAA+Xx+ae9CqVRCu90WmSiyKQ4EAvj5n/95xwdXrsJLFeCfvQmUk0DwzzmKqgL3Q+CyDYR8QD4GfP454MPZ+f/9bgAn26+88gq8Xi9GoxGef/55FAoFRy/al19+GWdnZwiFQvjUpz6Ffr+P119/fakb2/7+PrrdLpLJJEaj0UKfCl3YRFj1+ljK5bLuXpClghcXF5hOp4hEIo5fehxcOrhJwCrLe4wGmstAl7DTcjYCD5Lkqu2uyRf5u8tmsxrZsJvkg0Nv7pyqqksljbsAudrh1hwxGVzmvG6moSwts0OqzM85JyXi8m87ODhAKBRaOcvUKVSrVaiqassgbVVVcXd3pxmLoyeXpe/gRpWe73cn55NOp1PUajVNYtbsUO1tQXeX04Pkm80mer0e/H7/SiJJIxi4yRkhEAjg6OhooUqXy+VETPTZz37WUpnlE5nbAeiROVoEJLm6uLhYKaX0er0i8FAUBaqqGtI6ExRFweHhIWq1mtDuG9H0OoFGD/h/vzaXVxZ01vNrF8BMBeIBIOCd/5lPFYFP5IHk7iiPtsL19TVeffVV5HI5/MzP/IyprJFV6PV6eO211zCZTPCpT30KPp8PP/nJT/Bnf/ZnuL+/RzAYxHA4FP16x8fH8Hg8SKVS+P73v6/pDyPQWk2n00Lmy0FSEwAiU0sgR9Zer4dmswlVVV0NFPnFu03/Erlx0kUaCoVEBdMM6vU6+v2+xpTCDfB+AgL1XO4K+HfUG/AMbE+stwVfX36/XzMzlPeCuUXc9UBrkMNsH6yd4ERTj7TQ3D66W/V6160EH3Ju91km70uaIUrPoNVqiVmdy+bT2g07yIyqqmi1Whrn6FVEhe8tN4gtl/XavSaWFREA5yXnPNni5L1Oa87j8eDo6GhhzfF+WYpfgGdnA8XuoVBIk+j2er3I5/N4//vfL2KjdXgic48MMpmjSprP59PYl06n05Wkrlwuay70ZZKbVaSOEI/H8YlPfMLwJnrlbC59/LkjIG/hPa2qwP/vLeDL7wA/dQB4pHO0PQS+/+d9pi8UgdEUqHeAzgjIROd9dZ95D5Bwtn/YcqiqikajgVAotHHT/qa4u7vDn/zJnwhJ6GQy0QS1nU4HFxcXwr0xGo2KsQW0Zt955x3dtZtKpdDpdNY6SHFzgGUXjtvVk/Pzc2FgY0V1RP6dZswAeEXMzcw6Qa4o2ZFp3xTT6VRUC/WIBn+Wbhm18O8YDod1M8b8GbtN6OT3fXJyopH87pJZS7PZ1Li80l6RFS1OVQjoHIlEIpb21BBUVdXMKFUUZWlw6bYRCWBdUE9eAVxKGo/HkU6n156PRGyX7T27cXFxgfF4bNu5qWc+RnuUk1mnk6W0/pw+LwaDAa6vrzGbzcRvpjl65B0AQKjf6Kw7OTkRKiE9ZLNZfO5znzNsaPNkgPKIoaqquEDkOVBerxeBQEBX1ra/vy8W0Gw2W9k7EYlEUC6XdR3RCDQc08jmfRgC/+Yd4J074I9OgY8eAr9YBN6bWiRfZvH1M+Ab50Aupv9vEZH7+J+7cQe8wHFy3ltX7wK/9+N5pe6T243Uch2Korgmnzo9PcXl5SUeHh4Qj8cXvkcsFsNP/dRPaf632WyGH//4x/jJT36CXq8nbH+BZ4Hm6enpUotw2RGK260Hg0GUy+WFpESz2XRUBsLRbreFGYVV74l+JwWb9FvXBZX9fl88V7eNYAhUXaVMJo26KBQKrn6/2WwmCEYqldKtGCWTSTGDqF6vOy4P5RWUeDy+9GyXe9RUVbWFDKwDl6v6fD7NO96kV81upNNpjEYjDAYDVKtVjUET/Xcn33ehUEC1WkWv10O327W0GsIrf8B6p0RuROJWUigcDgtzievra9NrmhKh3GcgkUiI8ThGkEqlcH9/j36/j8lk4pjckXB0dCSGccfjcUuSlnrPxefzLZhkeTwe8fzv7+8dTcLR+qvVao4SSSKOiqKg3W6j3W5rxjTE43HxvymKIgiXPGIkn88jEAgIsufxeGxLOLuvoXuCwHg81piTyC99NpsJIlcul8XAW2DevExuOUYzR4FAAOVyWVdCMR6PMZlMDA2tfOUMOG8DP5OZ96r90Snw/3kd+P++AXy3Dow3nIs8mc3/rasO8IMGcKXtzcbFn//ficCzPjqC1zP/3JPk3DDlCZsjFArB7/cLx6Z1uLi4wB/+4R/i9PQUNzc3uL+/1yQgyAxhlWx4MpkIIrdseDjPkAHzTHq1WtX0QDiByWQispp2yBnT6bRmr5+dnS0dzj2ZTEQW22pXzE3RbDYF0S2VSuIZ0awxPg/TSfCMczKZXBmkRCIRcU42m03HZgOORiNB5FKp1FqDEyJ0wHx/6Emb7US32xVELplMolgsavZuIBAQwfiqDLbTyOVyYq/wgOzk5MTxvk6qlAFzma8V+2MwGKBSqQgiR/PA1lUIvF6vkJW6OQuP1kyv11vaoy2D5HDkqArM5d2lUslQNU4GKUP05rnaDZ7M3fY9kFqGP5doNIpSqbRUykrPX68Vwk7Q6CUAur1pdiKXywnCS0Ruf39fzNEjk6JKpaKJOVKplGZeHn9ew+FQd/acFXD/pn+CwNXVlZB76F3avDkfmC/0crks5GXUN2dWBkRyC76JVVXFcDgU5hvLcN0FXq4CqRDg88xnv33wANgPA9+/nhO6Vzc8+75dA07v5/8uAFTu5//WnzbmlbfTP98/H9JRE/XHc8nl598LxJw3BntX4fj4GOVyGe9973vXZomHwyHeeustnJ+fo9FoLCVs8gwWOUNPF2Y4HNZ1dhuNRuIiKpVKKJVKIuhqtVoLB6xdoJ4aALY6fNFep71Pw7lp78rfJZvN7kTVQ29QucfjQblcFmvp/Pxckx12Atw0JB6PG+qD8vv9IsjudDq2B3X9fl8oJzKZjOGMOCd08ixDO3F7eyv2tZ5zLyESiQiX17OzM0eDw2WQvwMlOt1Khni9Xs3g6k2f0XQ6RaVSET1XoVBIc1YaAa07VVUd36cERVFEMqVWq618Hqqqol6vi+omMA+wy+Uy9vb2Nq4uBoNBESPJrp9OgLdXbEIISG11dnYm2hqI1K+bkagoilgzshzTbtA+oLFDdoMSH1y15vf7US6XNcqNZTMhW60WfD6feJ71el2M3/F6vbb9hicyt6OoVquaPqLJZCKymLJ23ePxYDabQVVV00NHZVkn//v9fh/f/OY38dprr+Hy8lI3MH+pAtz0gKwU48eDz6SRqQ1aTPrjeZ+c3zM3MvnFAnD455/R6AOv//k+K8b1Z8ydPQA/nXkmv3zC5giHw/i5n/s5fPCDH1z7Z1955RU0Gg2oqop+v7+wZrxeL2KxmJAJejwexGIxHB0dIZvNLmQF+/2+xoAAeGYQAjyr2imKgnQ6jVKpJJIZROo44bEa1NNGdvx2IxKJaH7j1dUVLi4uND1KyWRyJ+z+x+OxCO7lCg0wJyhETm9vbzWzu+yE3Ftmxs7f6/UKojSZTFCpVGy5nDudjiBhuVzOtNROJnR2PltVVVGpVESgf3x8vHYvJBIJERiRW6BbIHklP6vIQtxNhMNhzTMyA6pKkYQYmO/BTQd/UzX99vZ2paLCTvj9fkEs9RIps9kMtVoN1WpVmO4QWbFKGkiEku44p0Hv4ebmxvDnt9ttVCoVTf91LpdDuVw2ReopOUNzI52Coijis+08xyhBWq/XxR6heHg8Hi/8ZnKM1wPdC5lMBh/+8IfxS7/0S3jf+96HX/iFX7DNQOmJzO0QTk5ONE3rFxcXqFQqGI/H4vDSI2uDwQAejweqqhpurCTw6kWtVtNs+F6vh1arhT/90z/Fa6+9tmCaUrmbO0nq9bOp6lwG+Xx2Lr+UcdMF3mnN/5wevnE+78Er/vlZoyjzHrwXisB79oCwD/jAPtCbAD+5m5M/8ZsGQNAL/L/eu5tz5x4jiDCtwtnZGTqdjkYGQ39HURQEg0EUi0Xs7+/D6/UKg5/j42N8+tOfxnPPPaepJlGQPZlMhG6esq7APFMpH6b84CdcXV2hUqlYLufrdDoi4HPSbIKk1BRYjMdjEewFg0Fb3faMYjabCSXBqkHlkUhEVLsoI2qn9I4TuXA4vNF7UxQF5XJZrL1qtWrpd76/v9ck2DZt/OeEbjAYLHWp2wYkleWfZ9QkZH9/X9xXnHQ4iZubGxEg7u3toVwuizv28vLS9aohTzQYrYi0221NVerw8BDlcnmrPi+Px2OZzG8b0Nk2nU5FdWw2m+Hy8hKnp6fi7iE5nNUS2f8/e/8dJEl6nwfCT2Z576vad4/3OzvrB24djAgQJA+gRB1PJEFSugM/UndHSDqaUygUlMT7RMrgU5x0ZMRJoqSQSAgQjxJJiQesAYE1s7M7a2d2zI6p6q7u8t6bzPz+ePv3dmZVVndVdVX1ApgnogPY6a6qrDTv+zPP73nU+8s0nqe9IIoiVwHe7fOpSB+NRvl9Q/vt2traWGuKIAj8fpxV4Y1AyXir1ZroPk40ylgshmKxCEEQNOdJvZ/qiQbSWiEIAlwuFxcK8nq9EEURJpMJZ86cgcfjwcMPPzzVOOG+AMqHDA6HAw6HQ6NkpzYP10vWkskkBEHQKF8OA/JZIfRWImVZ5sleq9XCe++9h0KhgJMnT0JWBPyn99rwvfA8nA+dhrKyqnltqcUSrmcP6QuXvBAFXosDxwIsQTsdYuIlAFBoAC/GmNWAXjLWlYFDPuB/eoglcq/GWWIoKax7l6gCn1hhyd59TB/UFb558yZKpRICgQBKpRIkScLi4iK3K7Barbh48aKG+vP444/DYrHwjcJisaDRaMBkMsHlcqHRaKBer3MrBnWFWk9oRK9rR89PPB6H2WzWzMeMC0mSeMCtnmebJYj6QUpnALjQzEHOyqkpjD6fb8/AgSikiUQCrVYLGxsbU1GNVCdyZrN536p0CwsL3Gh5Y2MDCwsL+zZ7Vhs3T0KKXS2KQnvKqOyNQVBTOMdVcJ2fn0c0GoUsy0ilUjNTClSrgwJa2wmLxcJNi2Ox2IH74tH1q1QqsNvtA5+LXkGzSdsoOJ1O5PN5HhcclBotCdTkcjkUCgVNpzAYDE5d7dnj8aBQKPDu7awN3unebLfbaLVamphQzx+u13JiP3C5XMjlcmi1WpAkaab+b/Pz80gkEojH4/t+JiVJQjqd5gImAItjSLBJDbrexDRS762CIMBut8NgMCAUCuHo0aPI5/PIZDLodDpjzWaOi/vWBB8C6PnMEfQUJ9UKVLVajdsYjOoFQ4EDKaT1GhzqIRAI4JlnnsHVogOv/IN/j/CNa2j7fcj/8t+AaGA3uaIAN7LAk6vAT57rp0Gul4B/9hr7/40uoABYdQMfWQbOzzHq5h/fAk4EmJCJ5nxILHH7ybPAk2vs37oy+7zX4sC1LKNmfuow+/z7nbm9QQmQz+cbiZ5XrVbhcDhw584dxGIxtNttKIqCo0eP8gTjzJkz8Pl8kCQJDodDsxD2bgaSJOHVV1/VKK5RFS4SiSCTyWg2br1NinyteqXZ1V49g147Cj4Mkt2AvocbMJugZhA2NjYgSRKsVqtGhXQYqOXgJ22ATXS+XsuX/UIt670fLya1J9ukbTZ6E9lepeRRQVLtwP79p3opwtPuLKu95XbzcFxfX4csyx8KI3b1c96rZktdcOoOm0ymgaJR+4X6Ws3azJmgFi4izNoDTa3YehDJfu/n9+5vwPRUWKmIcxD+pbTvjlvso4IWra2yLMPn88Htdu96X5OyNnkuks1FtVqFy+VCJBLBww8/zAuXrVYL9+7d04xEjApZllGtVqfrM/fFL34Rjz32GH7lV35F8++/9Vu/hddffx1f//rXR33LH2jslswR9JK6ubk5/gCPuvmrF2WaW0mn0zAajQiFQrotfBpCfurpZ/G7rzRh+Mf/HEvxD5D3RXDv+IOI/4Uv4HgAKDSBrgT8r08ACz1K34oC/Jt3gFfiwMkAS/SaXWYj0OgAQTtL2IpN4FSwPxG8VwAWXcD/8gRTztScIwn47VeA99JMgGXVs50gRtgM333o49q1a7hz5w5MJhMuXLgwVABeLpfxyiuvwGQy8VkFu90Oj8eDT37ykwAwdtXyxRdfRCKRGHpmhQyo1d3sQRtsb8FinA0vmUyi2WwemOeQGr2bmzqxEARh5tYE6s7SuEFOb4I6icSGEkw19XCSUAdT4xiik7cYMD1fwN1Mx0d5j83NTX6sk7IXUAfo0ypEkM8dFYT2KsSoz9dB+QuqobZqoXu41zdtFnYPB2nmrPbHIxxUQW1rawvtdvvAPDPT6XSfojMwG0822ndmbS+i7qiPcu/RsyOKIgRBgCRJffcNreGD9oje2MHtdqPVauHIkSN49NFH971mNxoNXL58GUajEd1uF41GAzabDU899dRQydxYO+R3vvMdfPazn+379x/6oR/Cd77znXHe8j72AKlrqYUE1JWYUYMdtbR2Op3mfOCFhQXNw6l+X5fLBaPRiGsZ4N6tDELNLGxCG+HiFlzFLEoNGa9vAfEScGG+P5EDgA/yTKVyQSVcYjWyxOuYn/0+VmI0zUubwPUsU64EWLInKcCzh/sTOYC972aZJW9Lbjaz9+/eBX7rFeC/3ATeSQ6e0ftBxtbWFpdbv379+lCvIYrJ1tYWDybIa42SsHESOfJUG0V8oFgsaga8BwWpdM9brVa+MObzeUSjUd4R2Qu1Wo3PZRx0IkcBlZp65XK5eLWUgtFpSSH3olqt8nthPwmT0WjUzF6tr6/vS8Rma2uLdy2mVUm2Wq2821csFodWkCTxkGkncoB2hk49hz0sJEnSWEmsrq5OLJATRZHTlbPZ7NDy88OiV+RkZWVlzwRAPbqQSqUO3EbB4XDwY47FYpx6CbDO1Nra2kwCa5vNxj9nkEXKJKG2GKB1IBQK8Wc5nU4fyGwj0ZV7qZ7TBs3DqRM5g8Gwr3m4UUGdffUI0CxgMBj4MzDIo5ZA3TOaGyShwEFCgnTeFEXR0FQB9M3pkffe6uoqTp06NZE1+5133kE8Hue+vr0aFnthrGSuWq3qBmomk4nLUN/HdECBTu+cDnnIDLOoKYrCA7ze4GZ9fZ1XSMPhsOb3lUoFuUIJf3KthkZkEaXTZ1EOz6HtccP8sQs4EWK3kygA1zPAN+8woROCrAAv3AOaEuDR6ZRtbN86EQcwt92gLDaZcuWlOHAzx2wPHtRpHDU6wPP3GK3SamQ/a17gqB9oScB/fJ8ldv/mHXZs0sEIcn0oYTQauY8cUSX3Ag2Y2+12lMtluN1uPu928+bNsTc3SZI0n7+6uqpbpQ+HwwMpPnpBV6fT4Wp7kUiEK1/SAp5KpRCNRndNIiVJ4pXxg5qTIzQaDZ6A9prokvQ/yb9nMpmpS8C3223NDOF+Nzfy2lKLDey1eeshlUrxazpt02Oj0cjXy0ajsadKo7rzQ3OD0+6iqhO6QRRdPdAsI8CC+Wkcq8Fg4EFi79zPfpBOp/tEToYtfhqNRk6xPCiRFjV6lVedTidWV1dnSjEEdoL5crk8sevUC0pa1GIutO8QZZ/2hlkklb1QC4LMIqnR84cjGI3GmRqZq+P/SRde9gKNT5RKJd31VZIkJBIJrK+vo1KpaMTXqJsnCILufdubpJIoV+86GYlE8OCDD+LixYsau4JxQXOokiSh1Wqh1WrBaDSORGMeK5k7d+4cvva1r/X9+x/8wR/g9OnT47zlfYwICuQsFovGVDEWi+0pW0sBhN/v12xqvUFzLpfTLJKKouB2xY6riTaWvAaUfvTH0XR7UQtF0D53Ae7tBK3eZT9ffx/4R68Cf3AVuFMArqWBqxlmJ9ALRWHCJQBTqzy0rVx53L/9ezBj8I7ErAl68domU9dc7HlvowiEt6mb62XW7fsXbwD/v8ssQawdrPr0hwJnzpxBMBjE/Pw8zp49O1SQJggCTp48yQ00rVYrWq0WSqUSbt26hRdeeEGT0FF1da8kz+v19on89HaWXC4XrFYrF0XpRTKZ5CqwBFqc1bMkgiBgbm5Ok5htbW1pqFhqUDAXCoUOZFaEQGIRAHad/XK73fy7UVdFj5YzieMhCvjc3NxEz43H4+EbbKlUGknGPpPJ8HVy2okcQRRF/lmUrOndS7Is83XYarXOtDjQm9DtlaSUSiVeIQ4EAlPtSE/SVJysI+ieX1xcHJn+CrB9kfbYg1AwJOTz+b5rNUuBBTUEQeCdqUknMmqFQUpayGKgN3CmZKpSqRyIZQIdDwXh08Bu/nCUnJDw1SxBa9aslS3VSbT6eWy32zzxoqK0x+PBysqKxgN2t66iOklV+zP2olwuD6XwPcp3MhgM/BoGg0EsLi7i8ccfH/49xpmZ++M//mN84QtfwE/+5E/imWeeAQA8//zz+P3f/318/etfx4/92I+N+pY/0BhmZq4XxN+leRJqKav586TY1jssrSctTGIFNFuiB6mj4IOtCJZvx2CZ96P8uR+DmM/Ceu1dGKpVvLX8KLKhFZwKi/BaWScu3wCydaZs6bUy9cmz4R0jcMIHOSDbAJbdO3YEapDxuMfC3ud8BHhsETjiA6od4J9eAiot/de+nWRCK8f9QMAO1DtAsgp0ZGar4DYzoZa5g9GL+FCg3W7DaDSONZv04osvamYZ3G43bDYbnn32WZjNZlSrVRQKBbz99ts8cD1+/PjAz3ruued0fQ0NBgNEUcT8/DyefvppfPvb39bM7xAFWR3wiKIIs9mMZrMJu93e18UC+pXtCGqRFJpPsFgsE1MDHBf07AcCgaGrgmpRmUkKJKi7S9MauO/9HGDvWQ317N6sErleqAVN1MqU6o7YQYprqM/pIDEDUhgFMBG1zmGhFikZ5/oNK3IyCsZ57iaB3nn5cDgMWZZ5J/wg1TYHCU6NC7WwDjDc/CnNQxkMhgNhTKif50leC7UYFEFvHo6+/ySEjUYFzQ0ehOAWPY+k7qnGXjOu0WiUxxK0j1AnWF08NplMsFgsmk6o3W5HIBDARz7ykYnO0aZSKbz00ktoNBpYWVnBJz7xCZ4bDDMzN1Zf9vOf/zz+6I/+CL/5m7+Jb3zjG7DZbHjggQfw3HPP4cknnxzri9zH8KC2NgW3wE61IhAI8I2s3W7zIJWCH/WcjbpK32w2UavVeCK3trbWt4l0Xy3gdCKKQDULZdMI991bkMxmWEpFOHI5GHw38N0f+Xl4V9iCIgpM0CRoZ12ztsSStdt51mWbcwA2E0v6stvdNr1kjOiXITtL3gpN4KV11o076meUyc0yU7/sRVtiiRzAEjkAsJuYZ11XBt5JseNMVoEHthPEo359O4XvZ+wnSOt0Orxi6HA44Pf7cfr0aYiiiGKxiMuXL6PdbnNhjlKphEwmg49+9KN9CZ2iKHxIuRdWqxXBYJAPGwuCAKvVimq1CqfTyYNl9b0ryzJ/XgYFzfSM0AZAm2OtVkOtVoPNZuNB+ajqjJMGUQ0NBsNIAaXX64XL5eLV3VgsNhFRBzp3drt9aokcsOPtRjOVm5ubA5PHQqHAE7lZC8CoEYlEeHAaj8d515IqwuMIpUwSatsC6hRSx6636Ddpdc294Ha70W63Ua1W+XENcx3JFoNq1JMULlFL4lut1qnPp5GnJq1fvUkpGVeTIvVBIBwO87lcj8cz9j5SKpU0NGq32w2fzzfUNXc4HMhkMpAk6UCsAoxGI98j8vk8p7ePA0VRUCgUNONKBoMB8/PzA2mU9P3b7fbMbWnm5uawvr6ObDY702ROURSYzWa0222eyPUmZ7thcXERiUQCm5ubWFpaQjKZ1PWvC4VCMJlMmmTOarXioYcemrggUjgcxokTJwAAhw4dGvn1960JPgQYtTNHFYm9fIjUqlO9WFtb61tACb3VH0mSEL27DuMfxxDcYm1tETJM6EI2GmCQJLQUE8oOL9rzIeR++ucA/05mJcnAzTzwxZPAR5eBd9PAKxtArMgETcot1iU77GPzcmooCqNGAsATi1p1y1oH2Cixrl+9yywJ5p2AQ7WWX95kn3EmBE4D1XvvEwE232c2AEf8wEeWWAfRNjuhpu9ZlEolXLlyBeVyGTabjQd+W1tb6Ha7SKfTffz0YDDI5XzVm48sy/jmN7+JVCrVR6dzOBx4+OGHcfjwYa6mSTSIYdUrewMiCrb11P16q8Szlr/uhbq4sp9uk/p7mc1mzM/Pj/Ve2WyWb3Kz7A6olSN7u4zqNW3WCcggqFUICbPu7uwFNX11YWGB32cH3Ymmyv8wMui98uzTuP7qz5hmx7der2tMivW6ouqE+yDv9f2sS2r1XYB1qgOBwMjn9aCtAtRd7nGuBVHn1VRNm82GUCg01Hv1SufPElT4nIWtSKfTQSKR6GPtjMMaiEajMBgMGiYarcuD5olpNOPTn/70TIqEU+/MAYy2841vfAN3797F3/ybfxN+vx9vvvkmIpHIzG+mHySog+K9Bl5pUF290BEGJXIA+tr4BoMBnfUu3KUyJJMRhk4XMkS0YAa6gAAZCgS4aiUoqSYal19B/S98nr8+XQciduDxRWYR8NFl9v9v5ra94TLMmkBRWLdMTcGMbcfSc85+mwKHif3tkhv42ApL3O4UWCcvaGcdOGk7H+hN5AD2twCb4fPb2E+tzSif17MssVx2Az96AggdXAz/oYfH4+FdiGQyiWq1CkEQ+CCvHkixrlQqYWFhgStCiaIIi8UCURQ1i6woinxOAACuXLnCg4BB3bJeigqwo2rncrn4IglAl57i8/lQLpd5kJvJZJDNZrG8vDzzwElthj5u8kXw+XxwuVx8tiAWi40sZ12tVnkiNw2p/91gtVp5l4S6jEtLS2g0GnxNO4hrNAgOhwOyLPP71WazfagSOWDHmFp9nx2U5LoaCwsLQ5mKq2Xap9nxtFqtcLlcqFQqWF9fn/i939sR3S1AFkURwWAQ2WwW6+vrB0a3NJvNcDqdqFarSCaTQyX/vQUOu92OUCg09rpmMplgMpnQ6XS4INcsIQgCQqEQF5sa9r7odDrY2trSFC69Xi88Hs9I54K6c51OZ+bduWAwiFqthlKpBK/XO5UkR49yGggEYLFYkEgkkEgkRn4WFxcXeWFG7d0M6MfWbrcbHo8H586dOzC2x24Y64q/++67OH78OP7hP/yH+O3f/m3e5vzDP/xD/Nqv/dokj+8+ekADn6NUS00mU9+N3ktpoJax3mbZanZgvp6GLBpQPXYEpdMnUI3szB61wdpXJnRhrVXhurUjby8rjBb50RXAp+pKG0XWLfvZB4GffgD4zBHWFbudZ3N1jY5WFGVNJ6aodQABwGeOAk8sAb/0GPt5apUlhbe2C37HdFgPsgJktlmmy6r3dphZZ85nZQndd9eZiMvvv8dsE+T7few+kPdUo9GAKIqoVCool8u6idzq6irfaKvVKuLxOK5fv64JYBYXF/tEUIhOdO/ePZRKJZRKJV7Y0FOlIoqWGqIo8iC6UqnwytugeZparcY3WRIaIRpXNpudqRw2Bdgul6vv3IwDo9GItbU1fi2SySSSyeRQ32nSypXjgBQ7SV46Ho/zZGlpaelABWp6oaYYA4wxoe74fljQm7gddCJHoL1LnawTJiVyMgpIfIEocZNCsVjUrINqNddBUFPbete7WYIo7K1Wa1d1w3q9jmg0yhM5q9WK1dVVhMPhfa8jVJDL5/MHYlVArA1FUfa0uqHzsLm5yY81HA5jbW1t7ISI5sFnLdIjCAJ/5vQKqONClmWk02lEo1H+vqIoYmFhgYvhmM1mKIrCveNGgclkgiRJEEVRN/ntjbEVRcHp06d15+4/DBgrmfvKV76CL33pS/jggw801dzPfvaz933mpghJknh7edSAjhbPQCDQl9iVy2W++OjxgKOX1uHM5tEJ7mwsUsCH0ukTKK0uo202I7O0iII7gKZgBip1yNvBSqrG1CSfGNCsFQTg/BzwUw8A/9tHgJ8+D6x4gK0KsyQAmEKl3tq2VQFOhYDT26NQosASt//+HPCLjzJrAoAlYa/G2VwcgRI9+pteUNfuTIjRN78dA/7Py8C/eB14Y4sZnX+/4f3338etW7dG3ggFQcDCwgIikYiGrz7Ix0kddFA3Tv26+fn5vtcqioJ6vY5SqQSLxQKLxaKZHYlGo5rFXD3rGQqF4PP54Pf7Ybfb+zbKVCrVx5dXFIU/MysrKzz5oYWcZnlmEZRXq1WesPZKk+8Xfr+fJ6rUtdxNlU2tXDk/P3/gSVM4HNYE73a7faYS3Xuh2+3y8xUOh7lAQy+F96CRzWb7RAQmGZjtB4IgcIplqVTi60e5XOYFGUoKZmVgTHtoqVTat4php9Ph1kLAjmfcsM8WnZtsNnsgio4EWkf0ikIk8U7UUbPZjJWVFczNzU1UEZAKEGqK6ixBz7femICiKNwTlY5PEAQsLi5qClPjgl7f6XRm7olIa3CtVtv3PUiqlOvr67xI43A4sLq6ipWVlT46ZTgchiiKQ3t7qrGbsqVejD3r86o3xzcIY+16r7/+On73d3+379/Vbcv7mDwouBxV/YwCYYBter2VM4/Hwytq0WhUMxvUaXdhfJ89JKJNh4ZVraPq88Lzly+g/vYdlG9bUXaEcaPpgFvqoFZp4kcfdmm6coPQS8H8zzeAt1PM/DtbB06HdszCa23AIABPrgIGnZLEvQJL3s6F2Xu1Jdbxu1dkipil7f13XmdmN7vdsXOYmG9dwM5+qm3gRpbRQj+xCvz3Z/f+Tt8r6HQ6uHfvHrrdLhfSGQVnz55FLpfTdMnC4XCfiI5akdBoNGJhYUEzl6MoCtrtNubn59HpdDQBbyAQwIkTJ7gtAckNF4tFGI1GZDIZWCwWHlw5HA4+g7GysoJutwtJkmAymVAsFjVJJQWFNO9Awh699h12ux2rq6tcvbNQKKBQKOw5vzouJEniQfW0DK8pUaUZuEQiAZvN1lctp64ksENxOWjIsqxJQur1OhKJxIErjgLs2tF9FQwGebC1vLyMjY0NFAoFKIpyoCIogFaxkgRjSBbebDbPnLKmBzIV39jYQDab1SSakxQ5GRYUhG9ubiKRSIw1J0V2LVRIHXd+VRRFBAIB5HK5kSh+k4bRaOTUdRKWaLVamk6R0WicahHI5/OhVCqh0WhAkqSZF5sMBgOnnOZyOQSDQciyrLFJAVgcRknIJBGJRJBKpZBIJHa1rZkGiPKbTCZHVtUk5k2vX+AwKpl2u53bcY1KMTWbzZBlGYIgoNvt9u3h8/Pz/P61Wq0TUWwdBp1OB++9917fzP9uGCv6sFgsuubgt27dmtmX/UGDJEk8CRtVhEEd7OhVIChgJm+kTCaDTCYDl8uF3PsleDM5tIP+vjauIsuw1upIPnQEy3MuCE+soXjSC797Hiflqyi+VcS5N19D/uYxRH/uWawuenQ7bL0wioDdyGiQPiujabYk4K3tOsFRP1BoAOciwCmdvLbeYfRIhwlwmoGH5xk98l4RSNdYImc2sI5bq8uUNdX4YHs9OdNzKzvNgM3LunqB2cYOU4fRaMTx48exvr6O1157DYcOHcLKyspI99pDDz0Eo9GIbDaLQqGAzc1NntwtLi6i1WppgjC/348LFy5oqumpVApXrlyB1WqFzWZDpVKByWTiCykdz8c+9jFUKhU4HA5cvXoVFosFZrMZt27dQr1e5zN2jz32GDeYBZiNQqFQgM1mgyRJfXSY9fV1iKLIq4uDAtneanw8HtdNgPYLtbfdtOcggsEgPB4Pp8zGYjHNYDklcna7/UMx86VOLv1+P1wuF+8sRqPRA7MkALR2F36/XxOQkIT6xsYGisUiFEWZunCAHnqVH9Xni44vn8/DZDLNPFnSg8Fg4HNJhIMU/jCZTPD7/cjn8yPPrPWKk/XO7IwKl8vF1S1rtdqBCTVRMkX0V4IoilhcXJxJckUJzcbGxoHMEQYCAT5TrKbqA6OpdI4Dek6pcDnLZNbpdCKbzaLdbg/92USlVDcYDAYD5ubmRuqye71e1Go15PP5kZsd8/PzSCaT2Nzc5IWQdruNZDLJ4wBRFGG1WmdWwPzggw9w69atkWjcY62CP/IjP4Lf+I3f4IGaIAhYX1/Hr/zKr+CLX/ziOG95H3uALuqofGpFUXYVeSB4vV7exqYFoVKpQLiRgbHVAcz9D5aQK6LpdMB01KGhiQhSGYH8Wzj+5ncQit2F5YVX8Pv/6gr+zTusq9XdowuvKMDLGywpOxFg5uEPhHfsAm7nWcK3MKBg88YWE0FR+8aJArM1eHwRsBiAC3MsKVwvsfcrt9jnprctRtwW/Y5fqgZEnMDjsy16TQXER5ckCbdu3cK9e/dQLBbRbDbxzjvv4IUXXsCLL7646wyEGi6XC6dPn+b/re7SkSGmzWZDIBDgKlKyLOOVV17BpUuXoCgKut0ums0mUqkUfD4fFhcXEYlEcOrUKVy4cAF37txBOp2GKIrweDwwGo148MEHcerUKRw5cgQ+nw8mkwlGoxGCIMDlcvFgjyhatVoN2Wy2L5GjTYAW8EES0xRMOhwOrK2tcQEWSoDUXo/7AX2O2WyeWXBmMpmwtrbGP29ra4sXd9SzHR8GUGHKZrPB7XZzqX2qrsZisZnTYgB2/1Ai5/V6dQsCak+s3cSopgVS39NL5Oj4SMgslUrpzqXOGpVKpU8V9KBFbtxuNw86h6H2kcAJJXIulwtra2sTCRKpc69+VmcNPYrd0tISVlZWZpZYqAsPe82uTQPtdpv/f7oORJ2dhck76R6oGTGzAu2Fer6tahALbH19nccXLpcLq6urWF5eHpku7Xa7ecNj1HvfYrFAURQoioJyuYxoNNrnc0vF5VmBxk9GwViduX/8j/8xfvzHfxyhUAiNRgNPPvkkkskkLl68iH/wD/7BOG95H7tAlmVOCRuV8kKvs9lsGq6x0WjU8HGJ6iOKIiKRCN/s24tu1IpV2OIJSAYjOgEvRLsNiizDUq0ife4Q7G7tTVer1dDabMOXL8OMDkzNEiIfvIfXNp/BG1vAqpepT14ckBDFK8zoO+zYmZVzmFkiJslsli5bB56/x/zrnlhidEqHmQmnfGedKVmadPaObJ3N4P30Ayxhez8LXIqzbttmGShuN1z0On6SDJSawKdPM6rm9zI6nQ7eeecdlMtl7jFFi79aAbVWq+HWrVsQRRFut3tPwQtFUWAwGPokf6mDQqpf1Kkwm81cgUyWZQQCAVitVtjtdpw+fRpOpxOSJMFoNCKXy+G9996DwWDA2bNndb1Y6LOdTmefqm69Xh8YlFLXr1gs8ucin88jn89rulPtdptTlomFQPM6xWIRpVIJuVwOuVxuT2Pr3UC+j8BoYkeTQigUgsfjwdbWlsZE9aAoXL3I5/P8OqlFmwRBwNLSEqeMbmxszNTsWt0tdLvdu1IoDQYDV+UslUpQFGVfHlXDQq2YuJvRsMlk4l2Ozc1NLC8vH9iMpNqAfW5ujhedksnkgXs/LiwsIBaLoV6v79oVUxuZA5j4+SQ2Qj6fx8bGxtRo2XropYwS1P6fswR1llOp1My6c3oWJMDeFlKTBiUdkiTNvDun1tDo9fyjxkLvbG44HN73vKAgCLDb7Xw0YxTquqIoXAm1l+ZpMBjgdrvRaDRmOo967NgxZLPZkRK6ffnMvfzyy3jnnXdQrVbx0EMP4ZOf/OS4b/UDjb185orFIorFIhwOx8g0VjXVQZ3Ara2t8SF8l8vVNyOl9k3xu0KIv7EB6wc5OLMFiLKErskEyWBA9YeOweLrMX6WFZj/9B5860lY0EHLZkf21DnkfvbLaHSY3YDfBvzvH2fUxV78x2vAc/eAk4F+4ZNCA7iRYxTKI34gVQU6EuuWPbrAunkvRIHD3v5kTlHYzNsPHQP+u5Paf18vAf/tNvBuasfA/HRIm7RtVtjn/o2L+lYH3ytQFAVvv/02PvjgA3S7XUQiEU2nKhwO8yozqUfRXJrb7cbx48exuLg4MKlLp9O4c+eOhlJJilOlUgl+vx+f+tSnIAgCjEYjyuUyOp0OvwcpUOsN0prNJl566SWUy2UcO3YM586d6/vsVquFjY0NRCKRPmPft99+G7dv3+ZzQOSPQ1AnoCsrK0gkEjz5E0URS0tLPAgelCD0BmwWi2XkIX/1s7efhHASUNMFgQ+HP5rag2s3KqXaw2oWHoHq6+Z0Ooem+6iTK721eJJQX89h9xP1PT1r6upu5uW0tx20/yOgPa+9wXuvZ9W0n6FZnxeKTwjhcBg2m21fvmuTABUApu1/1ttZJ5PvbreLZDKp6cLPClToGMafcdLo9fyTJAmpVErTsaRC0SSTXFmWkUwmIUkSlpaW9lyn9Cy71PD7/Wg0Gjh69ChcLhcXUpsltra2sLi4OB2fOVmW8Xu/93v4wz/8Q0SjUQiCgEOHDmFubo4HbPcxOZACEsA2hVEGPHvnetSdOPL4AvTpZPQ7t9sNt9+B0585ic7TXay/tYXu9TRcWzmUV8Ow+ZgvWCAQQKVSQbVahbReg6HYRNPjhtJtoe4LIPejfxHAjgn36ZB+IpesMppkyK6vYHkjt/N6o8iMxrsyM/z+w+usO5dvMMGTkwFtQpdrAF4bMwRXQxBYt3DeCbykYge8v11kW3QBCy6g3AT+wpHv3USu0+lgY2ODG/FS1anT6Wgqqmq6kCzLGgW5UqmEWq3G7osBi0s4HEY4HOYJos1mQ61Wg81mw7Vr1zg9ktaK3vcZVFWzWq145plnsLm5OTBQtlgsOHr0aN+/08ZK38NoNPJEjpJXSuSWlpb4jAct+OqgsrfLTVAUhQe9c3NzXCQlFouNFMDR53i93gNN5IAdugx5a+VyOZTLZY1R9yxBJvQA9tywXS4XTCYTkskkMpkM2u321DZjdSJns9lGmtuggGt9fZ1TdKeR0KmDl1ECXLfbza0+YrHYzDodavGkXnN4YKf7kslkYLVaD1RZ1WAw8HUkHo/zpJc6xABbc3Yrgk0K6vOip947KfQam/f6++1HEGMSCIfDXHF40v5ntNarKfW9oiaUqNA4wSwTWuqQybKsK+wxTZhMJj533ivg4fF4puZFRxYDtLcPEk7pNarXg9FohM1mw4kTJyZGgx4He4m/qDFSZ05RFHz+85/Hf/2v/xXnz5/HyZMnoSgKrl+/jvfeew8/8iM/gj/6oz8a55h/oLFbZ06vdU+Vn70eUHqQqFLYu/gS9Kqt9Fq93xXyBaSjBcAAWDxsdunChQs8WL/+rU3MvfwWWsvzqC+toPbgI5APHQHAFCGzdeYHp+f/9me3gf9wFTjuZ4mZGtU28F6aCZc8orM3XN7cMQlX42QQ8FpYIvjpw8CPn+7/m1wd+O1XmW9d2MG6fTdy7DMJJwLA//o4U7b8XsSf//mfo1AooF6vIxgM4ujRo4jFYjzpmJ+fh8lk0lTC9WC32xEIBPCRj3xkLB75OBtbvV5Hu92G1+vlRSNFUTiVZK/FVlEUPP/88xpfH2DHGJm6dEajUVcFrLfjpqeyRWISPp8Pbrdbl1ayV6dNXeU9KBNgQj6fR7lchslkwuLiYl+XZNb0IXXCNAo1R90ZUSunTuO49vP+6vM7SmdvGFClHhi/M0RFoEHPyCShft52My8ftks7K/R2+wlzc3MaCtq0QevINLpCvQrFuxl+98YgswYF7rSG7Rd6gh2kmKz3/en+3I3OPC2QkijNEs8CekkuMLv7v9vtIpfLodVqaUZCZFlGNpvlIxLAjuCfGna7Hc1mE1arFRcuXMCxY8emfsy7gXKDiXfmfu/3fg/f+c538Pzzz+Ppp5/W/O6FF17Aj/3Yj+Hf/tt/i5/+6Z8e/ajvQxeUyJFUezab1UheD6JSqOeVaBG12+287a2mTsViMVgsFoTDYRgMBo2Ngd4CVSqXYPGLWF1dRbPZRC6Xw7179/D0009DcUTw33I5VHyHYTl3CvBpM7ZkFTgbZmIkejgeAB6aA+4WgFYZCNoZJVMUWCIHsPm4XnTlnUTu4hJTrKTO2o1ttt+qB/jIgH3ttU3W0TuxXRA3GdjnKAoQLbHjztaB332TeeZdmMNQdgsfFsiyjHq9jmKxCJvNBqfTiYWFBVy/fp13cFutlka9yWAw6M6YdbtdTq0ZJ5kbR8L70qVLqFarcLlcEAQBwWAQiqIgm82i1WrB7/fj4YcfHlidFwSBd9TUHWuiGtP3HrThU2BpNpu5aXY2m+XJWb1e50PUtOiSmarb7cbm5iYkScLm5iasVquuUXm32+WJ3EHPptEcI7AjnERG3RSwxuPxmdIuKWHyeDwjzVgYjUbe+ZqG0iUlYCS7Pi7UHTrq5kwioVMXBPczn7KwsIBoNIput4tMJjM15epkMsmD5b1UHu12O2w2GxqNBpLJ5IFbUgSDQU0y53A4EAwGZ55kejweFAoFSJKEer2+75kkgO0h8Xicr5UkkrPbek4MhXg8fiDFKVL57HQ66HQ6YzMdJElCIpHQsJuoaLfbtaXz3m63Z85co+eGhMWmmUx3Oh0kEomBAjijfHar1kXhRgGdeBHei8twhYdPAo1GI9rtNux2OxqNBoxG40AhmJWVFU0sDbB73O12c1rl9xJGurq///u/j1//9V/vS+QA4JlnnsGv/uqv4t//+39/P5mbENQcYzJKdjqdmsoYKc31tq+pCqs3HE4PHKn9lctlPmukhp5qndqbC2CUPEVR0Gw2kc/nIRn9MAcCuGv9KJwiEFZJ/ze7gALmJScOWNMO+4C//hgz7b6SYEIoN7Na+4BeKwFgJ3Ej4RKPhSV1XZmJm9Q6QMTB6JK9KDWZqbjX2n9cgsB+DzCbhEwN+IOrwDfvMsuDR+aZ8fiHnV1MM1+yLMNkMuGRRx7hM2sEdeeJZKT1fE5MJhM8Hs/QKpfjotVqwWw24969eyiXy1xgxGq1olAocL+4brfLue27CUisra0hlUrxZI7EHeh5GLTRU4JlMBiwsLCg8U7a3NzkIi4AdKvg5JFFryNzbnV3T1EUvqlM0kh3HCiKwul4er5XJGCTSqVmRruk9cxoNI5FlRRFVnyKx+OQJAmxWGwiszzxeJwHaZPoVvUmdIqi7CuoUHe49it/D7AiQywWQ61Wg9lsHtgxGwe7zcfthkgkgmg0ilarhWq1OhI1aZLo7VgBOJBEjkB0y3Q6va/ihZ64ybCzvOpuTKvVOhC62sLCAra2trC5uTlyQql3TUedRSQPwEwmM3MlYPJJm1Yy3ctYAXZsYtrtNhKJBFKp1J5dUUVWUE40ULmWgfHGBizFEuydDkpGEa7PHRnpmEKhEKrVap+qK+23xDjJ5XJ9gj3NZhPNZhOdTgeVSuXAPUBHwUjJ3Lvvvovf+q3fGvj7H/qhH8I/+2f/bN8HdR8MJCDRu5nTJqo2VC6VSiiVSrzDRsGlXmubAqP5+XmYzWY+6Kn2vQHYYHOvJ4pa1EJtAJ3L5XDp0iU8/fTT+OUnbHgnqeDSpoCNMutuhR1Avgkc8uorRaphEFmH7niA0SLfSTHfuK7MZuGKTZas0WHJCkvWAJaQqWEUgSU3e82PnND/vNe3mOXAcZ08QJKBxnYxLuTY+bxsHXjuLvDyOhNf+cwRran5hxHnzp3D0aNHeZIEsOCYuk1qbGxs8ESPRDzoetdqNdTrdS5S0tudo3m8/cywdDodfPe734UgCBAEgXeJJEnidEhZlnki5nQ64fF4cPfuXWxubuLw4cOYn5/XBIPz8/Pw+/1QFAXVapXbJBB/vtPpIBaLwe/38+6a2tpDkiS+EQDgnlf0fR0Ox67f2WKxaISHqLtH6osAq+TOko6lB1oHHA7HwODLZrPxpIPO27SoVKVSiRcO9kOVEgQBy8vLvLO4vr6+L6VLdaV+kiIDlHhS0qQoylhBoPpenZSQjiAI/LpTQWUSXR910DwOJU1tKG61WmdO6cvlcpxa5nQ6YTabkc/nEY/HZy5+QTAYDPB6vSgWi9zEe1ToiZuMer2XlpYQj8eRSCQOpDtnNpu5uNWwyb5ePDQuVZC6g8TeOIjuHIB9dSbVkCQJmUxGU8wVRZGPafR+dqfTGfi9FVlB9v0iWu9twrqehLPRRMdhR2MuDEOlDvONDdQvLsPuH36NtlqtSKfTcDgcqFarffuSz+dDuVzua0wQ3G43AoHAgXf5R8VIK14+n9fIQPciEonM3C/n+xWSJPEAW2/xpACT6FjUtVB32PQWLZozAqAJYmw2G9bW1jTeQ+VyGeVyGUajsa/DRxLIhG63i3q9zsUixM1N/AVfENLKMbyTs+JGliVjH1vRtwwYhIAdeOYQo0c+fw9IVpidQKICeKwsSbxXZH97yKv/Hskq8NC8/oxeq8tETwZ1Cm9tz8mqXysK7HNDduDSJpCoMjXMRTdwcRF4cO7DO1dns9l48tXpdDQG2b2gQFUvMCIlqtdffx0rKyt8pu3cuXN4+eWX0el0sLCwgFOnTo2V1EWjUeTzeTQaDczPz2NxcRHJZJIXKdR0F/J6ymazeP/995HNZpFKpeD1ejUKu6Io8g1dURRN13FlZQWFQgGVSoVbElBVUw0KjkVRhMPh4AIbkiQNLStPM0BEvVTTPA7aw63RaPBNeq+O0Cxol61Wi+8pKysrEwmEQqEQLBYL8vk8tra2xgpQ0+k07/BOY1aL5lxI8j6dTo90b6TTaU6Xn4YE/uLiIjY3N5FOp/dt/TDsfNxuGCRAMm30jiyoz0U+n4ckSVwE6iBAyRyxF4Y9jr3ETUaB0Wjk0u8HZWi+uLiI9fV1ZLNZOByOoRRwAfYcLiws7DsJouuQz+enqlarh/10JtXQS3BdLteu3nlutxvlchmVSkV35qucaAD/9S04GnW0fF60Aj4I28FY1+2AYzOJ4nsZ2J8crYjn9/u5NUJv/EIFYrKCcbvdmljA4XDgiSeeOJAZz/1gpKMlv6dBMBgMmiDrPsYHVcM8Hk/fg0JBhMlk4r/z+Xzw+XyaRbharaJarWq43bRQ6QWeNPMDsACFxBt6pZWJrkMbMD0Y7Xabe2yl02lYkkkEAgn8/Cc/ha2qgGRVf95tGFiNwOeOsS7fVgV4O8UET+4U2KwboDUJJzQ6gEFgyaDeemPeNhC/FAc+yAM2I+u0WY3ss8h3LqgT65W2f2c3MaplqgZ87RrwrbvAhXlGwzzsG5wozhrq6li5XMZrr73GeeUOh0PT6VWjVqv1DfUnk0ne0UulUrzymc1mUavVUCgUUCwWkUwm8clPfnLkiiTRitUeMJTIra2t8XtSFEW4XC4uQ02Bf7VahcPhQDwe5xXpe/fuod1uw2Kx9FFEeymnAPoSOTXUSl0U3I6CXuolgYavDwKKovDNepQq/rRolzSnArCAZJJqcG63G2azGclkEul0eqRgVT1IP82koTehS6VSuxZTCfF4XNMxnIaKnslk4vNQW1tbYyeMiUSC72f7pYHa7XbY7XbU63UkEompC06ok1Cz2dxHSVZ7nR2kOMsoxzGKuMkomJ+fx/r6OjKZzIEkc7RPVCoVZLNZTaGKFMPV+x/d35Mqgng8HhSLRVQqlZknc+pCy6jduUGCJpFIZKjCAHXB8vm8bjJnD1hQd1gBRYbstEN9lwkGEV2bFcLVGDqPz8FkHf5akGesyWTS9dpbWlrCxsYG8vl8X/Gx3W7P1FNuUhgpmVMUBV/60pcGLri9Uvj3MR4UReEPD80IqR8cCnD0NnZadCkwJVGFQqEAq9XKg1i9B4s2Jqq0UIDTG3CSQhLB4/Fwc+fjx4/j0qVLANj90Gw2USwWsOT3Y2k0v/M+0EO56GZdsKdWgWsZRndM15jQid8GBGyMqgmwrtkR/46wSf/5An70BPDkKpvPey0OrJeZmEpruy6xOqBQfH2bcUo2CctuRsHMNVgX8Y0t4H98WL8jOG1IkgRBEHggd+PGDcTjcYTDYRw/fhzVahWVSgXlchmCIMDn80GWZX7f0TzZ6uoqyuWybsedOseU6AmCAL/fzxfOer0Ol8uFF154AZ1OBx//+MeH7oA0m00IgoBwOIy1tTVcvnyZ/65YLHIFS6fTiUajwX/USKfTePfddxEOh6EoCm7cuNFXWSSoKcOrq6vodrt8bmxubg6tVgtGoxHNZlOzsYmiCLPZPHbltlQqaVS1KEnWm1WbNqjD4PV6R65KTpp2qSgKP55gMDgV02+r1copYIO8DXuRz+c5PWcWAbo6oSORj0HHqFbVnMXxWa1WTlPe2NgY6fPGnY/bC+FwGNFolFspTGN+rvfYBwW2BoOBJxDpdHqoRHwaMBgMfCyDfKt60StuQjPWkyoEEJOBCn2z9usCwO2TarUa/H4/RFFEJpPRKBxOKnnthSAIcDqdqFarKBaLM5/FGrU7pydoohbJGxbqLpieCIvJaoB8dhWmF99CW1Z4V47Q9rphS2WRf7+AyEPDi0EJggCHwwFZllEsFvsSaPV3oDUzEomwJoTFcuCWQONgpJ32Z37mZ/b8m/viJ/tHb1BKAajH49FQUPQCJfrb+fl5GAwGKIqCQqGAcrms6UbodQAoSO2tVFgsFt4uJ1DwSUOlTz75JBRF4RWwYrGIVquFbrc7dLdWkiS88cYbcDgcOHToEPfIqdfruHr1KnK5HJxOJ5aXl7GysgKHWcRji6wDFi0BbyWAN5Osw2Y1ssSuKzPBFeMee5LXCjy1xv72Ro4lYtfS7PUA+1/1e9CMnkHQ/rsoMPqlCKAtH4wnXa1Ww0svvQRRFHH+/HmYzWZ88MEHfAg7mUzimWeewYkTJ7C1tYVOp4NWq6VRrlQnPXT91KbaANv4Wq0W/zcype99H6PRCKvVitdffx2KoiAQCODUqVO7Bvo053D06FF4vV6etAEsmaOE5/Tp01z6uVAoaApKc3NzMJlMMJlMkGWZe9uph6Ln5+fRarU0lOFqtcoN0h0OB86cOQOXy4Vut4vLly/z50QQBMiyPHaQ1u120Ww2oSiKptvYbrcRi8WGrn5OApVKhW/c4wYak6RdUrDscDimKmihVrpsNpu7Kl0Wi0W+Bk6K8jkM1Alds9lEIpHom+dQJ3KzNCl2uVxc+TQWiw2V0KmLg9OwiqDrOY35OTXzheYHd/u+lEA0Go2JzSyNA5/Ph1KpxD1FaV3Zj7jJqCClz2n4vg0LouL2ir253e4+fYBJIxAIHFgypy6GEf1QD7sJmox7bubm5nYVQvGeCaL2ugPGShWSp2evMBkhiyK672xAPu+HaBi+uODxeJBOp9HtdjV2Rr12QYRMJgOn04lwOPw9R7EERvSZu4/poNdnjuhbJPurns8gqEUaCOqKoV71RU+ZkBaxZrOJVCo1cHNV+87JsoyNjQ3+t08++aTmQW+1WnjvvfeQz+dRr9fhdrtx8uTJPWkvd+/exZUrV2C32yFJEmw2Gx566CG88847mnkph8MBl8vFDR3VKDWBd1Nsli1WYkbgf+Pi6MIkisI6ffQ+ySpgFBiV02Fm6pcAo2j2vreisITwmTXgL58d7XMngTfffBPXr19Hp9PB0tISXC4XPvjgA56ULS0t4dlnn+WL21tvvYX3339/z6Sb5jNjsRgfeN7a2urzahkEm83GFc28Xi/m5uZw9uzZgZU+quQpioI33ngD8Xgc5XIZNpsNbrcbTz/9NGcJtFotvPnmm8jn81zgpNVqIRKJ4NOf/jTq9TpeeOGFvo1qeXkZkiRpqEXU0Tx9+jQeeughCIKAGzduYHNzU3MfCoKAUCg0tgBENBqFwWBAKBTSFFZIIAWYjdGweu5nUh0S9XzFqJ1GtdHyrAQTqBNICW3veVDP0kx6Bm2UY9Tzs1Ov+1ardc/u4jRAdElS4xwEtY+i3h42Kajvv0l0KBVF4YUvYLRjV1MXD9I7Uj0uoR6jIOzHtmJY0PW32Wwz71Tq2QvM0loFAB8H0PMpnTY6nQ5nm6jvw0GCJnNzcxNjROzmWwwA8f9yG463bqKxrIo9u10YSxWYq3U0g374f+5xmB2jBXKJRIIXdGu1mkbojYrPALga8bFjxybakd4vRvGZ+3Ac8RTwz//5P8fa2hqsVisef/xxDU3r5s2b+OhHP4qlpSX8/b//9zWvazab+MVf/EUEAgE4nU588Ytf7KNmra+v43Of+xzsdjvC4TD+1t/6W5oF4vd+7/fw1FNPjXXc6s6HyWTiBuGrq6uarlw+n0c0GtU8gBRs6AkXqNvly8vL/CGliip9R70he/VnFAoFviC0Wi1NZ4ZgsVjw4IMPcj+yjY0NvPXWW32Kib2ghzybzSKfzyOXy+Hy5cvI5/Pcp4UC9UQigRs3bvT5oHmswMdXgV9+AvilR4Gfe3A8hUlBAE6FgJ99EPjfPsLe53gAyNRZx46g996VNuAwAY/v36N0JNDMUyKR4Ocll8thc3MT3W6X034WFxdx9+5dZLNZCIKAubm5vo1Fd8GNx/l94nQ6oSjKSIt9o9GALMtoNBr8+j333HO4evVq3z0E7HSeBUHAI488gocffhhra2s4deoUPvKRj2jo3haLBRcvXsQzzzzDZ+LUlhlms1mXHr6xsaErJ3748GGcPHkShUIBL7zwAqepqu83RVHG7pxVq1WYTCYoitLXIff5fLyz0u12+czUtECJXCgUmtgmRrRLALzTOEyHnuZ8gdl67VGXhYJZoosCrNN90IkcHSOdk1arha2tLXS7XY3R+EEkcgA0iaUelZmSIUrkFhYWppbIAez+o9msQT5Tw6LVaiEWi2nsR0Y5dvXac5ACccQ2AFhBjhI5r9eLtbW1qSdyAHgM02g0dNf8aYCKVRsbG5o1iPbDWYLiK7Uq+Kyg7ra22200Gg1Eo1FsbGzwGM/pdGJ1dRUrKysTpbbTfadmd6nhOBeBZDZBqDch1BqwbqZgS2YhW62ofvw87D/+0MiJHADYBDcKr+cRv5zUxJ+UvNlsNhgMBvj9fhw6dGhqM8azwPdeL3EIfO1rX8NXvvIV/M7v/A4ef/xxfPWrX8VnPvMZ3Lx5E+FwGL/0S7+Ev/JX/goee+wxfPnLX8YzzzyDj3zkIwCAX/7lX8af/umf4utf/zo8Hg9+6Zd+CV/4whfw8ssvA2ALw+c+9znMzc3hlVdeQSKRwE//9E/DZDLhN3/zN/d97IPsCARBgN1u7xOpIJsBr9fLZ5f0BozViR75ZSmK0jcPtbGx0Vetos8AtGp+JpOJDxT3BhE0S0RUtUgksid1Y2FhAQ6HgweuzWYTrVZrYOenUqng3r17OH78eN/vjCJwcheKdUdifzNMwdZuAh5bBB5ZYGbmf3SDzerVOqxDdzYEuFR5QrLKBFDWvHu/936RTqdx584dLm8fi8U0i5Z6lsztdsPtdiOZTCKRSMDhcGBpaQlnz56F2+3WyPDPzc2h3W6jXC7zIEaSJL4Bl8tltNttuN1ubkhMMBgMMBqNe87Q0rFVKhVOrR0ECrb3koC32Ww4dOjQ9qxmEQaDAVarFWazGVarlVN3iQIMsGCr2+1ClmVYrVaEQiE89thj6Ha7/BlXiwOpEYvFRlbgo6Hy3bzJDAYD1tbWuDR4Op3moimT7NJRp9JkMk1cmGBU2mWn0+Hr36S/57AIh8O8e7C5uclnngDW0T6oRI6gply2223eaRlXBXKSUM/2qalk05qP2wuhUAi1Wo17Ro0TuNO9C7D1c1jF2l6QtQtV2A/iPpIkSRNMH9RsLlEdNzc3J2rp0QtJkri6NoGo69FoFJIkzdwqQBAELhx2ECqnpELbW+CYNqWfhFAKhYLuOuVZcSCxFIH75l20nE7UDy3AdHYR/hNemG2jpSlSV0bhTgXNaymY78QRKBbRdLthOv0wQos+RKNRKIrCac+CIODYsWM4fPjwpL7ugeD7Mpn7J//kn+Cv/bW/hp/92Z8FAPzO7/wO/vRP/xT/6l/9K/zqr/4qCoUCHn74YTzwwANYWFjgFapSqYR/+S//Jf7Df/gPeOaZZwAA//pf/2ucOnUKly5dwhNPPIFvfvObeP/99/Hcc88hEongwQcfxN/7e38Pv/Irv4K/+3f/7r6qGYqi8MBbr0pGSRUJC6hpk2q6hJ56j16iJwgCPB4P2u22Rq2QFCkpsNWDy+WCz+fj/0sgus3c3ByeffZZ5PN52O122Gw2tNttJJNJuN1uXc44zeaVSiXYbDYUi8VdKXzNZhM3btzAxsYGTp06BUEQ0Gw2sbq6umuwkK0D//ebrIv32CJwZkh/OFEAjvhY4iapDuvqdi6z5GKWBKIAfGRpPCPxzTKbz1vx7P16SZLw1ltvIZlMIpPJwGw287Z8bydneXkZqVQKlUoFTqcTnU4HhUIBkiThyJEjOHv2LF555RX+95TsUULucrmwubmp6UyRwSZRjra2ttButzXCKwCrxvp8Pv77XrRaLdy6dYuJ22yble8FWozNZnPf/X706FEEAgHcuHEDCwsLvOv48Y9/HHfv3uV+VF6vF6VSiQcX7XYbfr8fDz30EACWqOXz+T5lK0EQuChRPp/nAkPDSrSn02mYTCZYLJY9g1qv1wuXy8UpgLFYbGTT2kGgWScAU1X+61W7rFQqfUGkLMsawZmDTJo8Hg/MZjN/XgB2fj4scxSCIPCgjP77oBM5Og6aVyMlOaPRyOfjDoICSseTy+Vgs9mGvoa9Cs77nSMjMSea15o13VLtg0egtXrWoNhGluWpzBF2u11sbW1p1u1ejzgS7ulVtpwF5ubmsL6+jlQqNbP7oNvtIplMajqTk1bs3A0UEwy65qJBhOOpoygv+uE46sPikqNPDGUvNModFK/loFzdgDWVhUOW0XK7UFtZhH0zhdy1DIILXv73mUwGgUAAR44cmSkLZFr4cOxOE0S73caVK1fwa7/2a/zfRFHEJz/5Sbz66qsAgN/4jd/AJz/5STQaDfzwD/8wPvOZzwAArly5gk6no/GmOnnyJFZWVvDqq6/iiSeewKuvvopz585p+N6f+cxn8Au/8Au4du0aLly4MPaxb2xscHpI7yKr7gykUikeoDqdTgQCAY2KGdGmKMimFvogFVJK5NbW1qAoCnK5HKrVKprNZt+gMMAoNcvLyzyBIjSbTbz55ptcfvfZZ5/lQ7+bm5u4c+cOEokE7HY7Hn/8cV1K54ULF6AoCu/2UCVfr4tIJs4UTJPQhdfr3VUt690UszQwG4D3UmwO7vFF4Pycvr2BGuslNkt3xMfETdoSU7Wsd4B4hf2cj7Dfj4pSC/jdK4ymeSoIPLHE/neQL1+n04EkSRBFEfV6HbVaDbIs91F5gsEgDAYDT6QcDgcqlQokSYLT6YTJZMKbb77ZZ4ZN90WtVoPVauWJHCljEYjGSO8/Pz+vuW8oOaff976elLMqlQoeeeSRoTa4999/H/fu3YPD4UCj0cATTzyhqZr7fD5cvHhR8xpRFHH06FGsrq4ilUrBbrdzaeKrV6+i2Wzi6NGjPOAjfyS1OADNGYbDYQiCAJfLhWQyyWlve8240TXrdrtDB7bUpaPh9Ewmg2w2i+Xl5bE7HIqi8GRgFtV5tdol0S7VapfUufH5fAdumg70r5XNZnMqiprjgDoOBOqofxgSOlJBjMfjmo79rGeT1MdDyrzD+s+pjbKtVisikchEng9iBdCowCxmpprNpoZZQ3NxVAg+KFGWSXmfqUEKxOoC8CCjbzLyrtVqM0/mRFHkiQ3NkE8L1Wq1j9Jps9nQaDT4GM+sMDc3h62tLaRSKV1GinfZAe/y+EXK3P97G85rt9E1W9AK+KBY2HotKgq6RgNMd7K4d8QE0cCeZVmWYbfbcfTo0bE/88OE77tkLpvNQpKkvuHaSCSCGzduAAA++9nPIpPJoFwuax5kkgXv7RpFIhG+ICaTSd33pt8BwJe+9CV86UtfGvs71Go1bpZMC62aHkFdFQB9rXHy/gHAzY8JeskTBdgUqAiCgGAwiGAw2GcSaTQaOb/+xIkTmvdpNBp47bXXUC6X0Wq1UK/Xkc1mEQ6H8cYbbyCfz/PA22Aw4Nq1ayiVSjh8+LBmQSEOMyUSFABQ9Zn8WtSdSNoc6fvvRhdoS0zUxGUGlj3svzM14D/dAJ67x7p0nz4CLAyIO64kGb1yeXtkwmxgyZuisAQxWwfiZeCrrwFPbBuI+4ZkL7yTZF51c05mk/B2CljzMI+8ByL9yphWqxWPPvoorl69ylXC9JDNZvmCLggC78gBjKr6ne98h8+zWa1WOBwOfq3o+lPwaLfbYTabucw0ge45siYgdUbaXOn31O0jPyg1Wq0Wbt68CYfDsecGS0qQrVYLJpOpzzduN5hMJr6ZUAIYDod5p49A5tJqkI0DBXeCIGB+fp4Pl9OMm55vGc0NWSyWseSv3W43nE4n1tfXoSgK1tfXxw6S6bo6HI6pBhNqEO2SDK3j8TiCwSBf2ywWy4ciIQF2kksaPqd1dJpzXsOAxKcAliA5HA6sr6+jUCjAbDYfmDm1GkajUSMusF//uP3CZrNxWfjNzc2B1OZeOuigRGA/WF5eHsq8er+gTjet872S+9TZnWQyNQrMZjNPaPZLN1QLexCGuefonhiXgrsfLCwsIB6PI5FITPz8K4rC/V57P5P2t2g0OtU5bD3QZ6vVJScKnwOAgFY4oOnqCYKAtscNe7aIQiYM6xxLe0wm08xFaKaJ781JvwmAAqqDxte+9jWcOXOm799pMY5Go6hUKjx5W11d1SSTmUyGd+V6q9q9GxHJnqtBQZ3euaCquSiKXJaeOhCkfkQqb6+88opGdbNWq+Hq1atIpVIQRRGCIKDb7XIa3dbWFt5++21861vfwosvvohqtYput4vvfve7vGo5aCCbErmVlZW+4K9SqeDOnTsD6Zk3syzZCm8XgMwG5ll3MsAMw1+Mss6dHkpN4MoW87HrXYcEASi3AAXMmiBdA37/KvAPXwG+/j6btZN3EX1sS8CrG4DNxGwSjgVYwrhZAf7du8BvvQz8k1eZYboaoVAITz/9NM6fP8/Plzoh6d3UFEXRLOLkgUQBtfrestlsWFtb01Dw6vU6otGoppurDo7Uwa7RaMTq6qrm97VaTbORrK2tcfGETqeDVCrVJ4hCyaC60v/AAw/gkUcewfnz5/HUU0/tW96cZhnU6HQ6mvuIgg+9gN5kMmFtbY372RSLRe53RahWq7xDOW7wQgkRfU4ul0M0Gh3J5LTRaPDk9yDWwHA4zO+zbDar6eh+GEBdY6vVCp/Px+/ffD4/sGAyC6iTDaLfqg3rU6lUnyDUQYCEWQhqj9KDQjDIBqi73a6uCEO1WuXnVhRFrK6uTqVDLIoiZ430JiCTQqlUwvr6Ol9Dl5aWOJOAoO7GHZQ/sPq+HQedTgfRaFRzHufn57G2tjZU8UC9hs4aarrvpJ5ZYjzEYjG+P9vtdqysrGBtbU2zv9H130uUbtLYSwhlP3CdCKJrtcDQ6C/sik47jO0OlBg7L6Iowm63T2ROTlFY/DZJUEKu7qrvhe+7zhxRynoXiFQqtSetiUQfen1A1K+dm5vTKGPS7+l3w0CWZXz1q1/Fb/7mbyKXy+H06dP8d06nE8FgkM+XybKsWWxIPEENonsR3VD9fdRdLOoMACwY8Hg8fMHXo1qQnw5J1FJiWa/X0el00G63IYoiFymp1+vwer1wu91YX1/HxsYG8vk8nE4nyuUy96GjwLPT6aBWq8FkMuHll1+G2WzmJp5E19E7dwTaGH0+H5d/bjab+OCDD1CpVLg/2M65A95IsKTK0nPnCwJL7CiR0sPbSdZ50zMBVxSgtf1A+2zsR1aAXJ2Zmr+8zkRRfvoB/Vm46xkgVt7p+AFsjm/Ny2boXt9ix7dVZZ3AxxbYcVIBanFxEa1Wi8vd1+t1ZDIZWCwWBIPBXQMHSlisVqtutYwSL7vdjmazqbkG1EUGMJDaSvef2+1GtVrVvL7VavGFnbp16XQazz33HE6fPo2FhQU0Gg1cvnwZRqMRn/70p7lf3KCK5n6qfoqi4N69e/w41M+TIAh7zpa5XC44nc4+6uX8/DzK5TJEUZzIfJrL5YLD4cDGxgbv0g0jl06KpwAGdihmAZvN1ke3nbUYgR5KpRIPcGg9NxqNWF5exsbGBr8fZt1BpGsMoG/m2GQycSohiUochCKbnmk5dZEPwlurF0TzzefzsNlsXE02Ho/zfXAWkvEejweFQoGzCyaVNKotEIC9qa1Eh51Gd2gYkDhVs9kciSas14kbdl5ZDUEQeAd52nRHPUyKaqrnDbfXfRwOh7G5uYlMJqPr/TYt7CWEsh+4F23YnA/BtpFEy6EtlgqCgKbdBud6FqaPLiK84MfJkyf3xbRoS8DNbU/ijRLwUw8Ah8YYr1Gj2+3i+vXrSKfTvGsMAGfPnsU/+kf/CH/pL/2lga/9vuvMmc1mPPzww3j++ef5v8myjOeff75vhqYXDz/8MEwmk+a1N2/exPr6On/txYsX8d577/FEBwC+9a1vwe12a5Ky3VCtVvHrv/7rOHXqFK5evcpn+YCdgNhsNmNlZaWvQqiWzAbYRr68vKy7EKl9ZFZXV7G4uMgrQsVikW+8gzpg9DlbW1ua7ytJEpLJJKe0iqLIA3KbzcYDMkVR4PF4kEwmecKg10Hw+Xyo1+vY2NjgiYMsy7o0AKIL9lJGzWYzVldXIUkSisUi7t69i3fffVfzN6kaU6EMD6Blp2vAIS/76YWisISqK2vFTwjr2wX7FdX6JApAyAGcCLAHP99gnTu99760vTfpCbE0uzvvZzOyxPCfvw78n5fZMTW7O/Ngzz77LE6cOMHPnbpyubCwgLW1tYGKbHo0XGAnGQuFQlhZWdHMamUyGU5x1Vuc1RRYn8+HlZUVTRKRSCR4FTEcDmN1dZVbF7z66qt4/vnnOW3z0KFDMBgMuH79Oq5cuaIrdf/uu+/im9/8Jq5duzaS9DUFQlevXsW1a9dw9epVDR2VOtPDBAxEvaRNstvtYmNjg6tqTkpIgzoI1F0ju5LdvjdR9Lxe74ELevQqqsVisZnJleuh1WrxZK1XZU9txF0oFHRNZ6cFdZLkcDh0n1+bzcb3DkqgZgn1MdJ9SYIoAFtDDrprSN5ZAOuKNZtNzT23srIyM9oVrYHqvXFcUJGWnifaC/eiDlJRDMBINPVJgjr0hUJhz/PQbrf7OnG0p407z0r3w0F0j9XHPOq6RxYg0WiUJ3IkILa2trbnfUzF+1k/k2pxtEl/tiAKMJ5egCh1AWknzlRkGXKlBnOzCVOzhUamgaNHj2JhYWGs4mGuDrxwjzGlfucN4PK2F/EgRtewqNVqePHFF3Hz5k3E43EUCgWezLlcLvzET/wEgsEgvvrVr+rG0d93nTkA+MpXvoKf+ZmfwSOPPILHHnsMX/3qV1Gr1bi65SB4PB78/M//PL7yla/wKvdf/+t/HRcvXsQTTzwBAPj0pz+N06dP46d+6qfwW7/1W0gmk/jbf/tv4xd/8ReHruxQh4KCKXXLuXcglXzAAHaxe2XgHQ4HRFHs40cD6Osq0KwQVUqJMkTUOb/fD5fLBUEQ+hKp3v+mm6lSqSASiaBSqaDb7WoWRZ/Pp+n4qUUy1Mhms7o3J816kaomdZwA/QSUkgYAXFZflmW+eLybAvJ1IKLDLJNk1ll7dHGn26WGILDZtWYXiBXZv4WdgNvMfre1/dELOmuopLCfxwe8d2xbVCUyIMl8bzuPPh1kHUW/Dai1gVs5Jr6y5Ab+6gUgsv3ZJL3bO5dGmwdZFPTeT+vr631zInRO1Um6wWDAyspK34xJNBrtk0gvFosQRRFOp5O/3mg09s3U0evVG1y9XofRaMRrr70Gq9WKYDDIFR1brRay2axmfrNWqyEWiyGXy6FcLmNrawtHjx7F2trarou2JEn48z//c9RqNdRqNXg8HrRaLU2AoygKD+aHBVEv8/k8ut0u6vX6VLphDocDdruddxg2NjZ0Z/YqlQp/zg66S0JsAzK/JrW9jY2NA5mxkmWZr10LCwu6nS1K6DY2NjQeXdOEOknaTV0YAL9v6/U6YrHYzLot6nVAbWYO7BQ2EokENjc3J2LgvR9YrVY+K0UUJlLbnSWMRiM/jv0oKqrN7IHRO1RLS0vY2NhAMpk8kO6cIAhwu90ol8vI5XKcDqtGb8cR2L+6KEFd0NJTAZ82SOMgkUgMtTe0Wq2+xJNE8EZ9rmjuvV6vz8RjkLCXEMp+4DnmQ8XphKFSQ8dpg5ArwlJvoGsyoTQfgnw8hPkj/rFmJGNF4JUN4J0UkG8yL+ElNyvAb1WYxsFnjo7na9xsNvHGG2+g2Wxq4ljCq6++io2NDXz5y1/Gr/7qr+Lnfu7n+rqK35fJ3E/8xE8gk8ng7/ydv4NkMokHH3wQf/Znf9YnXKKHf/pP/ylEUcQXv/hFtFotfOYzn8G/+Bf/gv/eYDDgT/7kT/ALv/ALuHjxIhwOB37mZ34Gv/EbvzHSMepVxfeqlJMwhVo2udPp8A1cDfL8AdBXyRUEgcuy038TfbNXmXBlZQWCIGjoM2qQGIvJZILf70exWOSv7aV9Liws6CakeoncysoKV5tSq2pKbQVOj/7Co97UBEGAxWLRLHABGzDvAm7nWVIUcTAPOQDINYCgHTir35wCwJK5h+ZZAnV5k83fbVUA6/b67zDpUyhzDTZHN+i9v/E+6wqma+xv1ItBV3Vq1NRQhxk44mdzfMkqU8KMOFl3JpVKwe12w2q1IpVKodFo6AYLDoej71pQgEPy94N8DwFoAl5KHOmaezweeL1eXqjQC5Zopk6d1PUm++VyGZIkodFoYGtrC8VikXe3tra2eILf7XZhsVj4Bk+JWblcxt27d3HmzJmBNOgbN26gUCjwZ4jECahAIooiLBbL2Bt9uVzmHZVpBbKCIGB5eZnTQ4leTYqRkiTx52Oa3k7DgHy/gJ3KeCAQgMViQTabRSKRmAndjaCmMAYCgV2D4VkndHRcRqNxKBp/OBzG+vo6ZFlGMpmcuhWAei+iEYFeWCwWnrhsbW3NlNbVC1mWNcHSLO+zXgSDQVSrVdRqNXi93pGSk17rhHF9BskTlIpNswzqCX6/H+VyGdVqFX6/n+8reonLpJI4NYiinE6nZz63S4VT8jnVKyKRWm0vG4CUSceF3+9HrVZDOp2eaSI/TSEUq8eI9FoE3ivvw1AyoemwI3N2DcKqE+aQiLlICB//+MfGelYydeDbMTZCcyKgLcwHbMBGmYngnRmjLnPnzh1ehB6EM2fO4Lvf/S663a5uriAos+Zj3EcfyBvsG9/4Bh/KHQYU/PYueA6HA8FgkCdgetXQQqGAUqnEO5CUzPV60QQCAYiiiEwmA6fTyf3E9LC2tsY7A3pQG/CurKxAUZSBf6teXEhVsXG7Ddeb66jN+WE47sfyg4uwWNnC3tslAtgG9/jjj2sCmlKL2RFc3gTuFRn9MWBns3CfOgz8xeGYslAU9vC+nWTvdafAum/H/ez91H93M8cqNl842f8+5Rbw/30JuK11E+Dvcz0DFFts8fDraGbcLQCHfcD//BiwHruHe/fuoVQq8WtLFAy9xVp9rdbW1vpkrAlGo1G3gkZVYbvdjnA43KcyCuzMRQxTee4NUHpBxt+tVosP7RsMBlgsFnQ6HVgsFjSbzT76JSmhut1uTrU6dOgQLBYLut0unn/++b5niGw6YrEYp4uNs+mQKXqj0Rj7PUYF0a6IxkKVbwAT86jbD0gWXa8Dpw7gXC7XSOvhuCD/xFF80NTPzrQ6O3RcZBQ+LNTdvGl2ndQdE71OcC/ouh9UAqU+XvXs9kF0pAjq+32Y4yDbHio8EbVuPzOSvfvAQYA6lCaTCcFgsG89VtuYTAN0bx5E55gK3L1dbUmSkEqlNAVOmo+d1Lk4qO9N8ecw68YwIHsjWZaBshHijTKsR8KwrFhRbZfQ6XRgMBiwtLSEp59+eqzPKLWA/+MlwCCwwn8vbmSBT44QQxIkScKLL77YJ2BFNmWf//znUSqV9pzv+77szH2vYtRBaOo+ra2taTYF6kqo/64X1JVTS/8HAgEEAgGNx5i62+XxeDRVMaq2EtQm5pFIBDabjVMvJUnSJIrtdpvT6+x2O+x2+8B5OJvNhpXlFdz95mXYylVYqzXId7ew9do66ocCCD04D8HGOOdEx0wmk6hUKrh8+TL3xZubm4PHAnxsBbi4xBKwt5LAWwnAaQIqLaDQGM5KQBDYfNySG7ia3pmju5UHkGeVmiM+oNFlc24XBjSFr6ZZ5+6xBaApsf+WlZ33Ieglcl0Z6MjMj04UFNy6dauvukqzXnrVHHXipPbwm5+fR6FQ4DTDbreLXC7X11mie6Ner3OzeIBtDPl8HtVqFYqi6Fbr9UD0S70Bd4DdM+12m9PJALYQUmAziINPtOJKpQJBELC1tYVqtYqHHnoIV65c0Z1/ikajvLPrdrvH2ugo8DKbzTPxciOQqTQVQSiRE0XxwBM5esatVqsuldJisfDOFyXB0xRqUc9yjdLFUnfoaC2dZNKUTCb5cY3aSVWbd5dKJW4lMkmoCz/DJmd0TNlsllvQzApqkQjqYpFFRi6Xm0nRQA/EJuh0OnuKxFDXnTApOrLBYOBsnFqtdiBrhNPpRDab5UE5sLOOzWK21+v18mLkrCm3xJAhIblms9kn4EdMl0nvIfS9qaEwKxAzbD/CSGpPZPV5MfgU2J4J47HHHoPNZsOlS5egKAocDkefpdYo8FiY7++luH4y57OyUZ7PHdthfO11/Ovr67hz5w4XFQTY+lQoFHghb1jcT+a+T0BJnfoGJ0SjUU1LXk1r1LtZKJFbWVnhQTmglVKm7l+r1dINokl6nZTgFEVBIpHgVSZ1B8jv98NoNPJAT486kI7mYc8U0Qj4IHpckBtNWAsluF7Po31tE02nDa1FL4yfXYR5m4/Y7XZhMBhw9+5dJJNJPPPMM3yjMojA8QD7sRmB/+cGe0hv5YELc+zniI/93W7YKLH2+9kQe4BvF5jQSW77BwAengdWvf2vlRXg9U2mUmkQAYfI5uokGfggDxSazA+vLQGJChNTMaqOJ1vfpm+G2HV89NFHUavV4HK50Gw2eZcO2EncaCZObUIPQKOGZTabEQwGNclepVJBpVLhfkW9A/O98tY2mw31eh0Gg2HkDchkMmm6Sb3vSz5vxWKRz+L1dpStViskSYIgCJAkif8A7Fzlcjl861vfQrvd1piC632ncTebSqUCi8UytHDKpKE26gbYc38QnkqETqfD15LdKO8Gg4HTxLvdLqLR6FQqx81mU2NzMipodpSSJkVRBooLjQKyfQHGr5j3mnebTKaJ3YNqI2Iq2g17TOFwGOl0GhsbGzPpAvXuO+oEKBQKIRaLoVKpwOfzHYgCKMDGD2KxGIrFImcPqNHLdplGx3pubg7r6+vIZDIzT+b0infT7sT1gvxrS6XSzJM5AJxF0zvOMg2vQzXoe09DXXI3CILAC82jGtc3Kk2svxmHnKzBcMINi0/UxDKSJMHpdPI5+4997GMwGAwT8Qg9EwJejbNCurFnufDbgLtF4P0M8MgQgtXtdhs3btxAKpXiMTmtp6R228s22w33k7nvM6hNv9WVPPpfEkwBoNsx6fXVovfqpeDVajV0Oh2eyKk7KnoVV0EQ+Ia6tLTEK1GAtkM0qNKYu55GpNlCK8KOWbRZodisaMkyxHQO4fVN1HNFbG0U0DgUgDViQOj0Ip99MplMupu1rAD3CoDLAqy4WSL2wj2mGHnIBzy2yKwIBilgvpfeMREXBEaHBFiCdzvPqjlhh77wSbTIHv5e4RODCJwMMgrlnJMZhl/eZO9nNbJ/sxjYsX7+ODt2gG0I6mAyFovxBZOQzWY5HZHOt7pLSq8jzM/Pw2w2838jcYXdoFa1G2ZOVQ+UyJF0NaHRaGg6wI1Gg3eh1PRKmsESBAGdTgflchmlUoknmc1mExaLpU/SmTbPWCzGz0ksFhtK9l8NmnMYxs5gmqAgiZ6DXC7HZ+lmTSeiYxmmS0nWE1tbW9w/aZIBHinyAoMFT4aBKIo8oaN7dj8JXT6f58W0/SawNGeXTCaxtbWF5eXlfXfDSqUS7+CPIwdvt9v5M51Opwcq6E4CvUlQr2WDIAgIhULIZDLY2NgYico6SaiPY319XZPkkjAQYRLXUA+iKPLrMquCjyRJ2Nra0lVynLUQiSAI/PvPcnZQkiSNPy8AjeDbtKFeXwbN7E0LkUhkaCEUWZKReisKvBFFpy7AX67C1GohIRyH8tjOviyKIrxeL8xmMy/6TjI5PxZgHbhic6c71+yyBK4lsTjvxehwyRzNq6qbK+N6LgL3k7nva9jtdqytrUGWZWQyGTQaDQ39Ui8wGiQzb7Vasba2pgmk1VzucrnM6W56GzQNuiqKwn236POoyguwbkg6nUYwGOQLi9SVYI0VIJlNEHoWG0EUYavVICgKOm4XrJUa/K+mUHO5sXWzBvFoAGJIgcFgwLVr1/DII49oXh8vA9ESELSxJCrkYD+1DkvyrqWZsMjDC4wquebdETlpdoErCZaw9cZcITublxMF4Iun+k4HAKZ+1OwyMZNeSDLryD21Bnx0GXhqlakovRpnSWBbYl27B3dhhp0/fx71el0zP0Vm7Jk3cxCKLbifOIQOOlC2TRN6O2KjDoUHg0Fks1k+kzLOhkTdEoPBAJ/PB0VRUCgUIIoi77Z2Oh0YjUZYrVbY7XbMzc2h2WzCbDaj2WxidXUVx48fB7DjHZdIJLg/YqVSgdls7pPDTiaT/DOBHRoKiQMNG8Bms1k+z3dQFf92u80DpVAohEAgwM2EY7HYTFUjSWjHZrON9JkLCwvI5/Mol8uIx+MTqVSrZ3X3EjwZBpNK6EqlEn/9pOYrrVYrAoEAcrkcT1jGfd9sNsv3h/0k1pFIBLFYDPV6HY1GY+jO3ihQFx93m4UkipuiKFM7lmGgFqOq1Wp8VICwX7GLYUDXJZfLTTWZUxSF+3ASaF2lZ71SqUykkzIKSDxoFoIgeuIuhEAgMNNklgoJuVxubFXVcTCMEEqlUEP87U0Y7hbhSubhqJRhUrrIrx1Gu1CCYyML6YILBosBsizDYrHA7XbjqaeemsoxeyzA6RBTtWxLTIlcDauR6SA0u4NVLWu1Gt58803U6/U+RpEawWDwPs3yPrRQd0jUyRNtFg6Hgwud0ByUHrWMOiQkeKHu/Kk7HHrBK/Gaexdop9MJp9OpqVDV63XeXg6Hw8jdK8GRL6HjcekaI5q2NwXB6wacNjhvpWHLN2BqtqDc20I14EPpWREJcwKXL1/Go48+yh+S65mdzpoaDhNTvnwrCZTzQKYGfCfKKjOPLQBnwqxTlq5pveXUKDSApw8Bbp3YtdgErmwbgesh32Bt+7Pba6tre9bv8UXgRg54LQ54rP3HrYbVasWDDz7IbRokSUKr1UIuWYT7nTgcxRLad5KQl8IQAgrkkz74/X6N4pskSX2iJL3dPhI/8fl8sNlsyGazUBRlbNU6SubIw9BoNMLr9cJqtfJ7i6pZJ06c4IEaJXP1el0TjAiCgMOHD+Pw4cMAgNu3b+Pdd9/l9A7iplMCR50H6sa1Wi1OxSQT8N26ObIso9lsQlGUmaujEUgEBQDvDIqiyK0SyuUyEokETCbT2H47w4JmcYDBXoa7we/3w2KxIJPJIJlM7mmGvBeoQ2iz2SYWtPYmdIqijESFq1Qq/L5T+zhOAi6XixcwxrUsSCaTfP3frym5IAicAppKpSZuck7iCsDextkA+OxjKpU6UDEUun/UCsM0zjCLLrogCFyVeBQT72GhNwLSS9MlU+l8Pj/zZE59Dw5SDNwveovXwM45IIGeXC43dRVaNaiQUKvVZprMAaxpQIJtFHOqrbMaV+vwv3kPoiSh5fHAUUgBAiBYzFDcTtiyeTTKRoROB7nY2qOPPjq142122XiLpOwkciaRJXh2006Cd7fA/q0Xd+/exfvvv49yuaxr0wVoqbV6lmODcD+Z+wEDVXzsdjsP7nsFUwD9WTpahKjqTJ2/XoUtCpa8Xi88Hg+fURJFceAGYTAYeOCrti9Ip9NoXsljvlpDNdxPCxVLrLIhQkbk+nvbBw+UlpbRcXlg2EhAFkWIZhn5fB4Oh4N/t44EXEkCTrO+pcCd7fz0XJgld9U2S/7eSzOqo93IHuwjOl38Zpd1+s4NiF2vplkiWGoxM/N5J7Dq2TmOXAN4eo0lbGqYDOw9B71vL3w+Hz75yU/i3r172NjYQDqdRjvWgKdaQ21tGUKtifB711FxutG+XUIyEEf90QWIlp0sUxRFBAIBVKtVuFwumM1mnuAZjUYYjUa0220NRUBRlLEkpNXVWkEQ2ILeaECSJHi9Xjz44IMDAy6qXO8VBBw6dIh35e7evYt6vQ6bzYZisYhmswmDwYBGo8G7cYTFxUVsbm5yLvsgpcDNzU0IgjBVK4K9QBU/vVkpv98Pu93ORTZisdjEA2pCb1I57vlwOBwwmUw82Gm1WkML66hBswjA7nN740Cd0NH5HyahI/orwDpe06jKBwIBNJtNToUfttBCXUwqnkxqdtFoNPI5oV5q4bjoPdZhZewNBoOGhnxQYii9s7uznhsDduYIJz1D1at0PCjJFgSBF9amlVDthoWFBWxtbSGRSIzsKzoIekksxTvq70fr9EEYuJM9xajza/uFWgjFZrMhmUxq2DLCvBWyKKLrcUN0OYDtZmbk+ntoW21IexbQ7Tjw2GOPTW3uVVGYBdW7aaZxsFVlllAA8MSiNnY0GwBZZoX+0yFWyDSZTBAEAc1mE9FoVDeR83g8/PuXy+Wx2Cf3k7kfMNCCSqIjgH61KJVKIRQK9VWrgH56pnpzJ685WZb5Ai6KIqfdDfOwkZ+eLMtIJlIQMiUYpS68H9xhxxsKQgqxDde+3Rk0QStH70kmkDeZYex2IR+JwOlgVXi1mtG9IhMWWRhQuC1vP2/O7VjYZWE/XZkpYZaagALg0iarypwM7HjBZeuss3dUh22lKMyrThSY6Xi5DSSq7MdmZLN6JsPuFMphoSiMYnr06FE0m00Usnm4biThrFfQFljSZkEHpkoeUqWISt4NY1aC/OmjsPgMEEURdrsd58+fB8AW37t376LT6UCWZe4zqIdmsznyoqSmniiKotkA6/U6bt68yZUExwUJVwDgPncGgwHRaBTVahW5XI4nc2pxH5PJpLHXoIqiupLW6XSgKAokSTow5UhJkngSOqjC28vNX19fnwqVi4oydrt933RGs9nMuyjVapUrXQ6bXDSbTd6xmdZ8VG9Ct5eaa6PR4Odo2sp9i4uLiEaj6HQ6QyUtaosDYPLy5W63m+8V+Xx+X7OGvbYmox5rMBhErVZDpVKB1+udKc1NURTE4/G+2bFZz40BbC8nlepCobDveaPe2GIYq4y5uTkkEgmkUqmZexLSGiVJ0r490GguV72HkIDYoPelpGrWiWw4HMbW1hYymcyBzXj30k5XV1chL8m4dykJXzoDb/yu5ve1QAgf/Mj/AOvRQ3B7gUnncTQL90aCeQpX2oxldcgLFCsdQBAgCEYIuSxkjxfC9vVymoE3N9uwb76CVqMGv9+Pxx57DNlsFo1GQ5PI6Y069HpGD4v7ydwPGKjzoV4oiOrY7Xa510Wj0eBUx2AwyBe5QcE53YBut5v71lHFhWanRp1HEEURchGw1uooBwJwb1evnZkskMmibbHC0GFJXPr0OQitJsJ3PwAAGLodeNdjKLj8cB7xIhz24dFHH9VUAxsdpkgULTJKY8C2o15Z237eXDrxp1FkNElZYeIlqRpQ7wBvbo84HPUzm4NPHdanUWbqwK0ce63Ptl35qQLrJWZl8H6G0Sv17AhGQa1Ww8svvwyv14vz58/jzJkzyF9NIlVpwgAZkVvv878VBQUiJMhWK4xGExZOLMPmtMJqtWJ1dZV3WAHggQcewKlTpxCPx3Hr1q0+JUsC0XiHTRL0BuEJZL+Ry+Vw+/ZtFAoFOJ1OXvk6dOgQOp0OzGbzyLN69CwcOnSI/1u5XMaVK1dQqVT4PayeF11dXUU6nUaj0UAymeSm3dSVO0jREzVNa2Njo6/rRhRQgJ1XojWl02nYbDaEw+GJBO3tdnvXOdpxoFa6pNm/YbqKasGTxcXFqXZM1QkdFSP0ErpWq8WT6oWFhZlUxOnc0czoIAqi2rfTZDJNLaheXl5GLBZDuVyG0+kcK+FX0/0HGZfvBUEQZq60Cex4qBKWl5e5WFM+nz+QLiGxMIj6Ns6z0iuYtlcSowYFt1QYmzW7gWZMs9nsWLRDvXm4YQW0gsEgkskk8vn8VMWBekHP3SDq36QxyNN2aWkJhUIBtVoNjUYD9XodTkMTpnabVc63b4WOxYq22wP7yhwSNaZ7cGz/QsIa/P5VJjwnCkwDYdHFunDiRgxPfu0bUAQBXksHtlIB2bMXUP3CTwAAvBYZt5MNLIgdmGtsL/7Wt76FSqWi6brutsaMc9/fT+bug8NoNPJNW71BqitrerN0ajUegiAI3BBSbRY7Kqq3Mgi322gsRFAM+TF34xo6MECCAeZWk1EoZRlypYbIZpS/rhIIIe8MYuPwGpbFMhTF2xe4nIsA/59HmfH3W0lmB2AxMvXJW9vsOr3OGsASOYAZdh/2seTt6nYMfTvPHvzDAwqQN7KsqzcXpHPF/n7RtfM+d4vAP7nEbA0emdcKrwyL119/nV87s9kMQRCQuZGBodWCCKXv77smE/L+ORz63/8anjq7eyZJAR4Nsg+S9wd2lFT3EtygJCQcDqNcLmsWPjIoB9hm+f7770MURS77H41G0Wg0YLfb0Ww2YbPZcPHixbHFMtxuN55++mlsbm5y+WDa6MgOIRKJ8I4AecYA7N4/CCsCgHUo6LxRN3x9fV3jBUabKCmIud1u2O12xONxNBoNxGKxoSlqg6A3szcpkNIleRuur6/vSklTC54Eg8GZJE17JXRqP625ubmZ3S9UdNjY2EAul4PJZOp7RtQqkDQfPc3jIWrb1tbWyB01tSjLfjvL6tdOWwylVwREbZ5M1LNKpXIgVG2abacizygJZa/NgNlsxtzc3Mj0N/r8gxBCcblcyOVyI8+Qqb0MCaMKNtHfjtud2Q9sNhsajcbU7n1Zlvl5VYOSZ4DFoER5prhBeOIEhOx7sBcbELbjlnJ4Hhsf/wvY6tggyaw4PulkbtXD7KqO+bWxl+L2wCnXUYMVhkIZgiLBubmOxr3bCP63/wKx0UDp0CO4d8yIEyZwDQGn04nl5WUeD+slbOQxR75/gwrlerifzP0AgYK8YehfaiVM9QNIgaDf74fL5eJzTcDg+RAKukeljchdCc5oFvZmDZ6b19C0OwABaHs9qM4vwhSLo+lwoGO3wF4ooymYUQsE4KqXUAuG8Z0f/p9wznwbEcsWRFHEm2++iSNHjnCxDrfbjWN+9rB++jCbhbu8yTp13e0mkUlnD8ptr7NquwKXhRmRSzJweYvJ1uolgrLCFDCtJn27AqJ2+q2ACOBbd5ly0vEAMwc/Hdyhcg6Coii4fPkyut0u3G431tbWIAgCqm3g6rln4azZsPrBWxA7HUgWM+y5LGSDEVWXD5vP/jB+dHW4hTwWi2FjY2PoBYeCV72kjsxSAbah2Ww2DcVLbV6fz+c1FcRWq8UNyimBsdvtuH37Ns6ePTvUsQ3CwsICbty4oaHKqO9zMjpXz3nKsoxWqzUzpUg11M+n2+3mNKdsNotiscgDVrvdrkl+jEYjVldXuSfX5ubm0GbQelBboUwrUSFz+1KptKvSJdHv7Hb72N9nHIiiyDthdH+GQiF0u10e8IbD4an6SOnBYDDwBCqZTGoSYXUw7na7J+KbtxfMZjMP3uPx+FAU6l4K6KTmy9RiKNPwNgT6Oze9xy4IAqdzq4UhZgkSIhk2oSShLOr4k8jNuFTRgxRCAcCppuVyedfPVxQF2Wy2TyV8bm5u7PuRZgbHiZn2g2AwOBUhoF6ze4B1X8PhMP9+xWIRkiRp2C8EydlGy26BVBQgGAzIBhdQtPiQDq3huB94dFFfbGS/WPMyC6hGW4bdshMImq5fhUWUcOPQWVwLzONjb/0J7JkU5v7978FSLENWgNPCO7h17DHu90lFPTXFWM+g3u12o1Ao8J/diuS9uJ/M/QCBkq5RBptFUUQoFOJG0RQskjgEcbwB6AZKFOiPU+nJrhdhrLVgAOv8WetswXQU82h4fRAUoLocwPG/eA7x91PIRytIuw+hYXIjs7AGq9WAZ8+vYPN95mWSSqVQKBQ4feKZZ57hn+WxMrXIi0usQ/cnt5gIyQfb3m5hB5uLA3a6dqs6p1EUAK+VvY9eshYvMzplcMDpWN9WSFra9q0L2pnwytU08G6KCa8suoC/eLpfHIVQLpe50MNHP/pRvmBkaoAxHMYHT/4Y4hefxXy7AJPbAcdrL0GyO3B99WGcPebD/JDxrt1uh8Ph6Ksi2u12+Hw+5HI5NJtNzT0C7CR1aiUz9dyd2igzEAjA6XRqAjdK5FwuF2w2G0qlEr/PqEtst9vh8XgQi8UQDofHrjR2u13eaaMETS+w6f23RCIBs9k8lKfapNBsNvl5pi40WVGsr6+j2+1y6Xu9irMgCJouezabRaVSwdzc3EjfQd2pnbY6ms/ng9ls5kqXvXSmQqHA6buzpC0RBEHgCV2tVoMkSbxoEQwGZ+Zn1Quz2cwlyePxOFZWVjTdwlF9FfcLv9/PFXf38jlTJ5yiKGJ5eXliz5jBYOCBfC6XG4tNshvS6TRfL3cz//b7/ZzifRDJHDFrisXirnRDWZa55Qthv119+vyDFEIhqumgZLLb7SKZTGr2NafTiUAgsO97MRQKIZ1Oo1AoTPz+2w3qxHES84KZTEZXzEUvUaR4QVEUmM1mTbFWNAqorgTgyWTRttpQOnwMy7/4V/DZCFMS14uzJoFlN3D48p/B9+7baJ0+idqznwGsNihGI0zNJry5JG498RnU33sejmIcikNAOeiFwybB8akVnBCj8Hi0oixq38teg/put8vZLOPgfjL3AwQKsMatlJPXHPl+lctlzWJGG496EaAHdJwKb/5WBsF2G6kTpyFAwZxqxit47w4Kdh8MPhNEgwhzSIDituCQuYyCyYFyJQ1bOYX0beafQkFqrVbjLW89kGH3ySCbi3svxTpt5O0WVMVeRp2uXbXNlC+PD2CmfON9Jo6SrbNqktqLRFKxVekUCsKO8MrdAnAtw47lXpEZUz6yACy5tDQAj8eDj370o1wBknDIB/zyE8yv7qV1F+4VXRAAzD37o7AYgE4ReGh+eDrnIHqly+WCyWTiGwIJ6ZRKJY2gCc2KhEIhjbedGtVqdeC1kiQJdrsd3W6XJ3MGgwEulwsOhwM3b95EJpOB3+/HQw89NFZiQXRSShgHvQdVHldWViBJEjY3N7nZ9X46XMOCaFsAS5LVzyBZEqirnnqBarvd5s8zSce3Wq2RDLsVReEJwazEC9RKl/l8nl+nRqMxdcGTYaBO6Ci48fl8M+0S6sHhcKDdbqNUKmkKKLPwNNMD0VJzuRxsNpvu/aamWw8jpjEOKJCnSvokuiO99MO9Eh61TcBe3aFpgZK5Wq3WZ4/Qq2ANjE4p3AskhJJOp2c+gywIAi9CqlkWerNe+7VK6QU9e9VqdabJHLBjFTAuvZVsb9Sw2+0IBoOc4aVH43Q6nXwkZGFhgds0EAxHHcgbzmLxwnF88nOPwDcDB4VmvYLVu2/DtBmDUkhi02xG41OfRevCY3jPFcTllg9COYPXLnwUD7kAmxfonvChajbCZFKAFniHTY1IJKKZk9UTIAQY80QdX++F+8ncfYwMkl33+/2ah47U/QRBwNzcHCwWC6+wjFOpE7fKMHY6QL0Os8Kq6zWvD4KswFIqoWm3QZy3aLo2SrsKb/sDPCYAkICtTe171ut1hEIheL3ePatPXivw8VXg4jKzKXgzwRIhh4kpHekZQ+YarFqkp5ApK8zTrrVN4XxLJZgSsgMb22ugntUBwIRWAOBMiH3Of7sNfHcdOBMEHl9iCSglmIM2F7uJdQ0fmWdCKy/HmVJTqcU6jaPQFQKBAPx+P0wmE2q1Gux2OxqNBqxWK6+0h8NhnDlzBuFwGPF4HO+++66mWwJoKZS9oGSCoK7amUwmhMNhLoLS6XTgcrlw/vx5OBwOXL58Ga1WSyP4MQ6OHz8OWZY5BaXT6WB5eZkHeZTQmkwmrty6trbG1VyJ5jiJivUgqGc19LqQ6so5AB6sqpM0eo5JVVEt8hKPx4cKWmiTcjqdM5W4NpvNPBnotVqZtuDJMOj9/IMyku+Fz+fjCS+w91zrNEF+qKlUCvF4vK+Cr/a6m3TioAbNw6ZSqYmIoeRyOa6AO4oQCNkEHBTVEAC3j0in09zKozdgn1axiu7Ddrt9IEIoc3NziMfjSCQSfJZJjVk8K8MqgE8KNK85yj3X7XaZ5VGPeIqehyDZf9C8th5isVjffm3xGuD4WBBnP3oKvtBk/Q8HoVAoQHIZIJmtEGw2dKx2JKrAerqCbseCQ/YcUM/geCgOcyQACYC4XYRpNps8/lV/F1EUeaGq2+3q0koJiURipPvrfjL3AwJ60CZdcTWbzbxbR/Q+dXUeGC9waTZa6C57kGkvwpUtwlopo6uI6BjN6DqdMJRrUBwmBFeDGv8agiCwzWB+fl4zo9BsNnH77SjSb+fg/8kQgvN7V3aNInAiyH4+ugJ8O8psBDZKQFdhlEmfjQktNbrAg5HBFMt8g3nECWAzegqYYMpt1dx0SOcSqbt2BpHRPkN2oNwCXk8wJc3jAeCvXgAcQzReTQbg/BwTgbmdB97YYpK79hHib4/Hg2eeeQalUgnpdJqbiS8vL8NiseDo0aOw2Wx8Ew4EAvB4PDCbzRBFEcViERaLBRaLhRuF2mw21Go1zRye2qScqHLFYhEulwunTp3CwsIC3nrrLVSrVY334fLyMsxmM5xO574odoIg4NSpU5AkCaVSCZ1OBxsbG7xrRwlMrw2A1+uF2+3mXY/NzU14PJ6xFeIGQVEUHiwC0KVmUVeAVBMpQY7H4wiFQvz8ms1mnoRRUEszD7lcDrlcbuAsESXOwHhiR/uFekaNMCvBk73QW7DI5XIwm80HljgRemlQ3W73QI/JZrNxIYZUKoVIJKJR1gT2b1o+7HEQ6vX6WPtmr13CqMG/IAiwWCzcC/YgrE7cbjfy+TwajUafwIdatGVaoNnBgxBCUXdkKZEzm82IRCJTn2UjUZBeKt60oV7Xd0sk1fGeHrxeb19RkYqGet0mdQzXm8hZrVY4nU4sLS3NlDEQiUQgfPwkKvEW2kYbbi0/CIfUwjnzOuyt2zgVciCZ2OkektiP1WqFwWBAs9lEIpHQrLG9qtgAuOALwWQyweFwcDX4YSEo+ylZ38dEQMo1f/InfzK1BTuTyaBWq82kmtTtdpHJZPqEMUKh0NDfj2YLIuEIsrESTC9eRacmwFapwtJpoysaIC87Efjypwe2qXupYYqiIJ1Mof0H78NU6yDz4MNY/Ks/jgcjbNh1FO51R2LzdFcSLCkrNJgwiUlkVMYVneLRC/eAP7jG/OhozZS2PetyDcBq2JmTCzu0tgbRIksgj/i0wiuE23nWsfuFR0ZXvZwlaLkhmo7ZbIbX64UkSZwmR1Q56uB5PB4eRFCCdPToUYRCIc2G0Wg0YLFYNBvQJCub3W4X3/3ud1Gv15HP5yEIAt+YBnnf9QZ0hEl26fRU1ICdoFctzgLsGOPqYVCiFo/HNZuw3rNFSdQ0O5DDQN0JASbvjzYq1PLzq6ur6HQ6/PyrO7yzhppVoab+zCJZ2gsU8BDVD8DMZ1DVqp6j3kNqk2yLxTLy3ClBncjOyi6hF72duEnNhg0D9boyq+8vyzLS6XRfoWOW68hBfG8CxVN6Nh+9dGEAGibWXsdN+wh15nr3RhoB8ng8aLfbcDqdWFlZwdLS0oEUM4rFEr7xbgdtixePLhuxYqvi9Ze/jUql0hffCoKAxcVFnD59GgsLC2g2m3jppZc4FbnZbKLZbPapv6vtgQAWJ6+srCCbzeLWrVv48pe/jFKptGcx435n7gcElPnPoupqNBoxPz/f1y7PZDI8gA+Hw7vO4NADYLVZsXzKBpyaQ61QQ+VPrqBZlKB0FNQvrqGiqnKsrKxAEAS+mOiam5cBoS3DXSugHb2N596p4DseFw75gEcXgLNhZgy5F0wGRkk8HWLCIu+mgNe2GDVzSeeZUxRG0bQZtcmWQWQdtWKTedU9PM8Ss2iRJZcRB5uXS2yPmul17RSFGZk/EPnwJXKSzDqSCy52zmgzpK4PgWbqyGIAYLQMotcEAgEUi0V0u120220sLCz0XV89euF+g1JaeEVRhNFoxNNPP418Po+3334bsixz2qUkSbrqY2oFT7PZrFGLHIVyNQiKovBNgNTjNjY2uFUCiVyoQQH8/Pw8jEajZihbkqS+80omtsCOfDV19GiDpTkSmpc8KJCABgDe1YjFYgeW0EmSxJMkMjg3m80IBoPIZrPY2Ng4kGNTD9sTHYq6Aevr6weWOBBIVZISolkLsgBaMZRhPcfUCSDQTzUbFaIocgr5tO0SeiHLMuLxuCb4nPW9qv6saQuh6Jl8q+mVB/W9Z00xpfk1mtkj1oyajk3ovR/2Os5AIMBp1AR6zpxOJ4xGI5rNJpaXl7G4uDhxFsuo8Ho9+KufYDEWOwwnHnzwQbz77rt9Cp2KoiCVSsFms2FhYQFWqxXPPvssL/zevXsX6+vrcDgcsFgsvGDV26nrdrvI5XLodrsjxS/3k7n7mBrUxsRqi4N2u80fZj3amToBVP+7w+eA46c+gei9KGRJgcWofchJ7ALAwGp3IZqH2WSDQVDgqWRx/urzSH/qx3A7z2bI5p3AT5wB1pxs9muo2QYH8OxhNl9nEPQ7fMkqS2oGGYHnGyyp+4kzbKbuahp4bRP4ILczS8fOR/9ryy1mbj7IZ4V89B6ZB06F9IVbpoVX48B/ug4se4AnV4EHwiyp68W3v/1tLsVNFMlSqYR2uw2Xy4Vms4lIJAJRFCEIArLZLCKRCLcjIJN6p9OJer2OZDKJ9fV1iKKIBx54gG9K+XweuVwOdrt9z1mqVquFl156CRaLBYcOHcLCwgKfF/34xz+Ob3/725pu1cbGhqaaKcsypy9SEYUqdslkEvV6HbFYbF8D9LTBqgUjVlZWuFAEdazJL0ytppfL5TQJNQDd2Th6VqmrT7TLTCaDSqUCr9fLq5QHYXKsBgXSFESTF91BJHS9/nbqQNTpdKLZbKJarSIWi800eSIZeTouShBcLhfy+Tx/lkZRPZ40egPHg5oZIzGUWq0Gv9+/axdVLc5iMBh48r5fzM3NTUUyfjf0duNoVpk8PGeJ+fn5qQqhkFWIOu5QzwEOohJOG72eY7MEjTb0JhoGgwGRSIQXgvTubyr4qYVj9IzUCU6nE0eOHMG5c+e4ovJBMwN6IQisIRKNRhGLxTTMD4A1DoLBICwWC86cOaN6HStEb25uolKp8ERtUJdRFEW43W5+vu4LoNyHBlRpmrWfkRpqi4NWq4VUKgVZljWiKZFIBFarlSseDuTjC0yudm1tTVMJbTQaiN2Nox1vw7mkHxy7byXg20rCKHRhK5fgvXkNrthduH7sJ1DwL6LSBuRaFs+/dglmsxl2ux2PPPLIUOfOvAtb6naeGYIv6hyWorAE7lyYLRpWI1OpfGiedej++BaQqLCEcKMERJzaz8ptJ4J69EtZAZ6/x7qCb2wxI/OPLrMu3ijzceNAUZhoTLML3MszEZkjfm1SR3TLWq2m2TQNBgPnnRPdpVarwWQycYl9omJYLBZeubZarWi322g0Gnz4WJZlPPXUU9ja2sJbb73F6ZipVAoPPfSQ7oYUi8Vw48YNFAoFtFotZLNZHDp0COfPnwfAFm+aeVLTcUhYZH5+ngd2vfN6VqtVM9tFtMBRKWRUMQX6LQBcLhfsdjs2NjYgiiLq9Tra7bZGfa7dbvNnZ25ujlcWc7kc8vk8VlZW+N+Losg3ZrvdzjsnanW33YbaZwEKPg0GAw84KRA8iISOzgvNfPQiGAyi0WjwjkDvzOU0QEI+gL6i5srKCmKxGAqFAhwOx8wl4QGtfD/hIOTpgeHEUHpn+kYZJxgGBoOB+2dO27+yV62Rvgvts+l0eubKsGohlEmiVzER0O+kkqpos9mcaQyl9hybVTJHSuVqgTKAxWIej6dv7dTrGvr9fmxubiKfz8NkMmkUrAlzc3Oo1+twOBw4dOiQxl7kw5bIAex7xuNx3Lp1q6/QJIoinE4nDh06hBMnTui+vlarIR6P8/M66F6WZRmdTmesAsL9ZO4HAOP4y+0XlEDqVfEsFgtWVlZ4BbhYLGqk1Ql61Vh6GGhjNxgMfIOt1+uIvhhD6LUP0LZacHNhC8JRP1YeXITVaUGz2oLcULhvnaHbRfDebbStNlj+9f+F7vGH4PziF1CI30Q+n+fm06+88gp8Ph+OHTs2volyjQmT3Mix7lzQxiiWAFO4dJhYoqWGKLB/+18eZ527t5PAK3EgVmRJ35yTva4tAecHUCwTFWCzDBz1sY5crMhm/RacwEeWWcI4qFu4X8QrLBmdczLqarPL7BVu54CjyOBY5h2YIzJanWbfgq+uCK6urqJWqyGbzfL7iuSTFUXhVcRB47/1eh3f/e53AYDPuTkcDjgcjr6NSJZlvPnmm8jlcppKIs3JEWgTa7fb3A9JDfVrhxnaJhuDUWTh6XicTqfuBkjPRi6XQ7Va1a2Mms1mSJLEaaTq79drytz73r1iI72zALOELMsauqkaB5HQqWcqdkvSlpaWuGXBtD3FiHoLsLVVbz9QJy96ipLTxubmJn/G1d53B3EshN3EUHrnUac1b7iwsMCVFadxHnrpob0UcOpIKopyIMqSaiGU/doA6NkL7KYl4PP5UK/XUSgUMD8/v6/PHgWzpFq2220kk0ndNVzvfiP6sV6ntpyto36jiYanA9u8fsW43W7j0UcfxcLCwoHNDA+Der2Oy5cv831e3ZEzmUzwer28uHn48OFd38tqtWqETghmsxlutxv1ep3fZ5TsjWLpdT+Z+wEABcqzrCrRZ+6W/JAxqdfr1RVNWV9f75M9psRUT+HJbrfDkK4xqUiLGf57W0A0gdTr66itBSGYRATqTaQPH4NoNSNy/T0AgLnZgDm5CbfVj1DhFmrGKl/Ums0mMpkMSqUSjEYjzp49O9ai+oVTwMMLTHXyzS2WUFmMwJyDiafMOfVn7Qh+G/DMIZaAXcsAl+LArRwQbbM5vUF2BrcLLFkkE/JDPibekqoB//EaU+b88dPAg1NoCtzIMN89+l5WIzvOZhdw/bN/h0YuicTpRZgf1gaVVAklCILAOfXq4Imu0V5UhHw+j0qlAqPRiHa7DbfbjQceeAArKyuo1WpIpVLw+/18ODkajfYll2R5QBBFEadPn4aiKNzPrNFowOfzwW63a4bE9QKQcrnMv5ff7+d0GlIF3YuipVaw3IvaSLTJra0tTvsg+mUgEIAoikgkEvx8hkIh1Ot1zcajF6D2JrBbW1sz8dTTA9EGBwkzzDKh63Q6vCu7srKy698KgsAtFUjddRo0NnVybrfbdw0SbDYbnzfMZrMzUSbtLR7Q9VEH2LOeGVODOtHqzpS60j5pr7FeqAstnU5nYnOpiqLwYg9hkCiP2+1GuVxGtVqd6nfVA5mo53K5sT+7N/EWBIGr++4G+n2v4MUsMM1zrvYLVsPn88HtdiMWi/FCZe9a6fP5uKn64uIiWtUmkt++DmO0CKXawXylimIkCP/PPAi3x82Ls+Q763A4EAwGde8zWWGz9nrjGMMglUrxud9xvGXVoFGFWq2GxcVFLC4uolgs8njC7/fj4sWLu75HPp/H5uZm3x5K59Tr9XJ1Y4Ctc1TA7mUo7Ib7ydwPEGZZTaPNYdguA4mmAFp1PvLoIk8xWnj03rdeacKeKaJtd0DwedDxeaC0WjDlywi/eQcdiwXGThvdYhGyfyf7SR4/DVdyC75sAu56BnXrTgtclmU0Gg00m02kUimcPXt2rPMhCEwxc80LPHuImZG/tsk6V5U28KnDw6lpWo1MJOXCHDMO/3+us5m6r18HPrLEqJq27b1JUdjsndmg7dqZDCzBqraBXH06nbmuzJQ+Heb+jqEtn4S7WYKsAOae/cnn88Hj8SCVSqHRaPTNdFFHbZA/y8rKCqfxqtHpdNDpdHgCtbS0BEVRcOPGDdy8eRMejwf1eh1erxcmkwkGgwFms5mLsXS7XRQKBU0QHAwG8bGPfQybm5u4evUqOp2OLh2MJP3VQVKhUODzd/S/brebB4ixWGxXuhYlY8MOiJvNZqyurmJra0tDE8nn8+h0OpqKrMVigd1u1yRzejTAeDzON2eDwYBEIoFsNotmszlTa4J6vc6Pf7eAZxYJnaIoPJGfm5sbqksjiiIWFxexubmJVCo1tEH7KKBEicSn9sLc3BxisRiq1SrcbjcPNKYBdSIniqKGcgXsJFKznBnrhcFg4N0hdRJHxzeL7gLdI5ubmxM5DzT7StiLFeDz+VAul/eVUI2L/Qih9Kr9UqwxzjWbdVfS6/VO/JzrdeEovlIntjR/rtd9MxgMUGQF1XQL779xFY67WdhKVThrZRgVCQIUNCt2tGJ5SGd29jC73Q673Y4nn3wSgPZ8FhqsUH0lAXRk4MsPA84xlp1yuYx79+7xvWk/CIfDmrhzfn6eF1FNJtOes7ySJOGdd97pWzNsNhtCoRCazSYqlQokSeKxBqHT6YxUQLifzH2fQ+0fdRCfO87C53a74Xa7OXWqWq3qSuL2In0nB1ujhU7ID/pUwWIB5kNoyTKct+8hu7QAY7sNx1YSbcUIhUksomp1QQBgnzPDILlQLpc1qlaiKA4tiLIXPBbgYyvAE0tslu5uAXh0cbT3EAXW5XJu0xdv54EbWTaTd3GJJXuSwhK+Qclascnm7/Tm+PaLaBHYqrD374Xi9uDqw0/D0cxj5UwL7c7OglUoFPj1BvRpuuqOkNVqRbPZ5BVEmocbBLvdDkEQ8K1vfQtGo5HP1lHFVhRFBAIBBAIB3m3rpRqpIYoigsEg7HY72u02r9oBLLHw+XxcEW5jYwMulws2mw0GgwFGo1FzPxmNRqytraFUKqFQKCCTySCbzWJ5ebnPboESrVGo0ySdrLby0Nss1EpjNITfbDYRjUY5jYxoIIqi8ACQgu5qtYp6vd4XlE8DiqLwgFTPGqIX007oKClxu90jMSEomEqn04jH4xM9Llo3qRMxDOhvt7a2sLW1NbVOpnrejHxBe2EwGPhzfpDCLIFAgAdewGx81tRQB9r7mSHspVQOazVwkAqLACswJJPJoYRQ9BQYLRYLF9EaFbQOztrvblKU3b26cHrX0uv1ol6vc/9XQqfTQSqVQjPWgevyOmzVKtoWC/zVHCvcCgAUwNxsorBVRc29c6/Jsox6vY7XX38dKysruPL2u+h6jqDqOIx3U0ChycZBBLD44fgIelqSJOPWW3fw3qX34Dvm35P2OAwsFgs+8YlPoFarQZIkXLp0CbVajRd3Tp48uevro9EoyuWyJpETBAFut5v/m9Vq5YVgAnVFR1nr7idzHyKok4dJ4SDm5SYFCpSDwSDa7TZSqRR/AChoUg8s1zfLcHa7kKz9wbzSldC2WIHHlhE6FUby2zfQjBYgVtqwxuIQJQmZI8uot9li13strFYrwuEwWq0WzGYzKpUKrl69CoPBgAsXLoyVLBtF4GSQ/YyDUhO4V2DCJ37bDn3ya9eA5+4yv7pCgyl06qHaBp5e25ndmyRuZIFqB3B2+u0YFIsNqYefwn93XIIr/SoKhYLGVFl97vWChkqlAkEQ4HK54Pf7oSgKtra20Ol0kM1mebJHdgBq+la73daoRPVuliRmcvHiRXznO9+B0WhEJBLB/Py87uD/G2+8wQUben2JqOu2srLCvcZo7oNUwfTg8XjgdDo1FgNqGhd1Hcf1etrtNZRQqI/F4/HwBGh9fZ0HVdRRIqjn6GRZRiwWm3rXgmZf3G730J8zrYSO7mHqtI4Ku90Oj8eDUqk0MYVLss4A9qZ89sJsNvNuVCKRmLiSoNqDUc/TSo1IJMKFWQYFn9NEr8gJzcvMGnTvbm1tjXw9FUXhlDHCqM+n3+9HPp9HsVicqZk1sDMmspsQih5tlCh9+7lnSIwkn8/PXFmV5tPGMY7XE3nR68LpgYoFrVZLNzkWPEYYOh00ggGILgeEEts3KsEwLNUyLK0mXHeTaJw8yl/TaDTQaDRQKzVw609uIJXp4vKDJ+BZkBG0izjmZ/HIjSyzYxommau2getZ4M1NwPTb/xmOXBobnzqLQ0fWxlqH9UAiQABLgH0+H06ePLlrst3pdHD37t2+OTk6l61WCyaTCYuLizAYDH1eyTSfOizuJ3MfIiQSCRSLRV25/nGxGy1xWuiVY58EzGYzlpeX+awQ0SYosLXZbDCmq5AHZSbVGto2C0JHArC7rDj8+QchSzLS6wWk3k3CGiuge8iLra0tftyCIGB1dRWpVAqiKHI1I6vVCqPRiFQqBUEQ4HA4xqZf7gf3ikCptTMvR/RJWWEKl28mGff8tU1mXXAyuGNL0Oqy/390MmtdHx6eZx3D17fYwhy0sx9B2BF8ORMxILj0EF5++WXOP7fb7RoKZSwW6xvGz+fzEEWRBxPUcZJlGVtbW/z+SyQSfWIYvUm6umJG5r7nz5+HwWDA8ePHoSgKTp8+rStiUalUuER/LwwGg+b5tdlsnOaoKMqeHjIkXkJzIvSztLTEu2nj0m7oeFdWVpBKpfj70bwfdTnVFBWil+RyOSSTSR4A9gYE9Myk02k0Gg1sbGxgYWFhKsyAdrvNj33UTXvSCV2j0eAd2VGDbDV8Ph/vFm9ubmqS5VGRy+U4dWfc70fdKFJCndQ+og4yh+lw0Xx1sVhEOp0eWAiZBtSy6iTR3+l0DqQ7RXsT2Z4Mm4j1zouN639H9hWlUmnmyRywk9j0ziHrGX273W74fL6JXKOD9Dqj+bRsNjtUMjfIF263LtwgyLIMg8GgKYgCTJBHWDRg88/XYa3W4E+pum+iiPzaUcilOnK+MJacLtTrNQ2ts9VpQXz7LiJtGRcersAc1O6Fhm2xNgwQTu3KjNH0Xhp4KwFkG4BBELH20GMo3rgF0eIdSdZfD+12mxdw/H4/7t69i6NHj2J5eXmomVWj0QhZljXFByp20r7ldruhKAq/b41GI2w2G7dk0ostBn7eKF/uPqYLCu7Ucv1zc3MTSYoOYl5uGkII1KKmNnU2m0Wj0UA5V4ctXYKjWkUlk4cU8EJQBcvGegOVsB+LgZ3FUDSImDsUgGfOjmQiCY+FKfvR0KmiKKjX6zwgqtV2FiSbzcYNkg9iUwPYYgal3zdOFFiy1FUJU1XaLLECmPJluQUE7GyGbxqYdzFhlY+vAC/HgctxltQF7CyZW/WwxFMU7HzRS6fTmnNJxsrkx0ZiIaRe2XtPi6KIpaUlXvEXBIFX/t1uN/x+v67sOcHlcuHhhx/mlVcaeB6EK1eu9NFWCHrJHylpiqI4dJfD5XLB4XDwLh19n2HmnvRA391sNkMURU2SRjQiqgb2Bg4ulwtWq5UnpIOsCEgRkeii0xJGoWRg3IRnUgmdnjH4frCwsIBoNIpOp4N8Pj9WdVlN991voqoW/5iEWqNaTXAU4RBK5sjOYRZzasVisc+4nDzYSqXSgXTnSG00mUzuee+ru58Ae4b34wWpvo8Owg+MfP9ohmyQ0fc0mEiUyM/aJkOtJLobetlLAEsOyIjbYrGMvA7YbDZ+bn0+H1ceJ4sgk0mBp5CDQehCEQTIBgM6DicyP/oXkbX6sVGqYd78DpTaTqeUOv7vf+bTqDSsCBzpp0O6zMDdImMb9QqhKArwf7/J5uvaEuDbFoAzigCe+gQ+OH0Rx51VHDu2vw5qp9PB9evXIQgCjh8/jlgshnK5jEOHDg31eorfk8kkv3bqa0hiVzQLC7BnSpZlzM/Pw2Qy8bVnGHz4DB1+gLG0tITV1VW+QSiKgkQigWg0imw2O7L0N/39rP15KJmbpNeOHoiqtra2BkPNADN1LDIZeG98AOetO+AspMkAAQAASURBVFAa2xWPbhediH7QkE6nIYgCfD5fX8VFTTnrPf/FYhH1eh2SJM1clr0rM5Nz14A8f327KPdAmM3Qqamc76SAWAlwm5mgyjQRcQJfOAn88kXgc8cABaxjd2GOJZ20MdC9Qv4qFosFTqcTa2trPMGrVquaStkg0OyZOqEql8vIZDI8mdEbjC6Xy7h06ZLmmg8CVdyowtZLEev16aHXCIIASZJG6lSJoojV1VXNZ6TT6bHuOfpu6nPjcrn4vBlVMwd1Pmq1Gp8f3SuQ83g8/H1IyGgU2shuIEqjzWbbl7IfUXEB1gUe5/gGGYPvB0TpLZfLunLWu6FarfIgYGVlZd/JpcFg4M+bmmo4Dmq1Gk/kIpHIyN1lup/UCco0QIUTOo8LCwu8yEPr0SiB1iRBHbVe4SI1yDOSzhPRvfeTyBGokKSmxs8K6ns5Go1iY2ODJxvBYBBra2tTGymhZ+AgTMSpI95L5acuXDQa1bBSvF4vVldXsbS0xI97UOFxN9BrrVYrp/8DbK3M5XIwHl9Cy2IDFCB76Chq3gBKp86hGllByeCEw+NHrm2Foih8JnZhYQEXL17E+U9fRObEBcDa3yF2mdkYSVpn6RMEJozSkVlcE3HuFLSFTAqP/bt/isD/9TtoVfenPtpoNLh/3MrKCh599FFcuHBhpPdYXl7G0tIST8hp/RRFES6XC+fOnUMwGEQoFILFYuEzhYqi8A70sLifzH3IQHSStbU1LC0t8UCDAtloNDq0XCk9vLOuHtLiOsuqnVTtwNDtonDiGGrb39fQ7cJ7LwbP+zcBCDDpuWpjp1pSq9U0LfGVlZWBgSJtpGazGW+++Saee+65Pm76NBEvMyqltC3j24vC9prv2M4ZfNYdYRSADRhn68B/ep+pYU4oxh6IiAP40ZPA33gC+PkLwGPbBWVBEPDEE09gYWEBS0tLcLlcEARBk7h4PJ6+TXqYINBisWBtbY2/V7lYReNOG628BIfDoUloyLagUqlo7ttKpYJLly4hGo1qAv0PPviAL7QGgwFOp1NDQUsmk7ybRiBO/LhKj73P/fr6+kjSxfS3JpOp79k0GAyabmEqlep7b/KFlGV5aJUwm83GO3jVahXxeHzfCV232+XnftwOpRpqGuioCR3R7wYZg48LQRD4ectkMkMbJtfrdX6fLS0tTWwNVs8JjRMU0uuINjQ/Pz8WzY9eoyjKxE2kCaQmS4WN1dVVTfFFEAS+L/QG17MCPX96hadqtYpYLMYZJXNzc1hdXZ3YvUDr3KhFhklAr0hGBd1pW6LQzN5BfG9KqujZ7nQ6iMfjiMVivKhgMBiwuLiItbU1zZgO3buj7BUEk8nEaYDRaLTPZy1wOIK2zY5yIITSyhFc+an/GVce+WFkaoz185fPmTDvYGwUURQRCoXw1FNPIRgMYsHFEjO9+MVqZAyerX6/cQDAols/ZlHsDli6TcgdBRt3U/1/MAISiQSSySQEQYDVasXKysrItF2/34/Tp09rGgWBQADLy8s4c+YMQqEQ/H4/jh07xq+TIAgolUojUSyB+zTLDzWMRiMPsNQKdLSAW61WLguuB+JMT7tD9mFAN82eetEgorsQQWkhAqXRgjO+CWOng7bVAsnMPMQGzQv0LtL0EHc6Hc7V55+3vdFns1nugVOv13Hp0iWYzWacPn16TzU78op7aB44ERjNV8VhAj6+Cryx7VlnN7GEyWLcPTGzGplh+FYVKLeB//cuMyI/t93BOxYYziJhXIQc7EeNl156CYVCAU6nk0keb3freuHxeFCtVnUplruBPOrW/+h1ON9Joer14+p6C441AwSvhQvt5PN5mEwm1Go1nnCRYXG329UIoGxubvL7RZIkzZzf0tKSxmLA7/fD5XLxzXScoIMovwA0s3TpdBomk4nNMOxxTmjdGJQIq2eYaDbJYDDwrl02m+XCM6Ocf6PRyL3U6JzsRxiFug1zc3MTo4+TciOZtw9DTRzWGHxcGI1GTtMhwYvdAvJWq8Wv8eLi4sQZGTTvkc/n4XA4Rrp+RE2kY9tPN5VoSVtbWxO3KlDL9TscjoFFi7m5OWxsbCCZTB6IXYLD4UAmk0Gz2eSze72USqKWTwNEdZ8V5ZDmoXvnoA7KqmLW85J0jrvdbp8tzyQ1FvRAlObeRLrVakFY8aPl9aKoGHH93FNwzUfwmXnGCDrkZbNvGfs5vPcee7bU92PEyeKYWgdwbzOMam0gXWcz/X4rEzfRQ9jB4pSu3DNm4nBi66/9Eu6VRZyb8+7re6+urnIBtP1gfn4e58+fx+uvv84NwsmagbC4uIibN29CkiQeg4w683c/mfseAQWksizzOaJms8kpPhQw9soHA7OdlyPax6RMTYeBIiuwZKvo9FDXBJsFtWOHYcrkIdttsARECIKAdDrNJdVpcSGFJ7X9gXroNxAIIBgM9i2kkiSh0+kgEonAYDBga2sLJpMJp06d2v2YFeDPY4wq+domsOIGHl9i82y+IQrWIQejLz6zxgaAX93coVaat2OshQHNK6p2Hd0eTyu1gEubzN/lRIAZk58JscRwVJRbrON3yNvvL6cHElagOdHdQHz9calCxngFrmoZgsUM/+UEqnd8aD17AStnvTAI7L4lBaq5uTm8/vrraLfbOHbsGI4cOcIDpjt37mi8zUwmE+9Gm0wmTvOkhCufz3PBnnGrx1QRpde7XC7Y7XZOM4rFYpifnx84X6v2sCG7j/n5eb42qH/v9Xphs9mQSCR4okoG6/T7UUHUTOpkbGxsjOWnRveI0WgcSfp/GIyS0I1iDL4fWK1WLou+vr4+8Jg6nQ7vEs7NzU1l/RUEgaudbmxsDB1Ik2ckMBlPNpPJxJ+5arU6sY5MNpvlBbvdPB4BrU3JrOb3ekHKkplMBrIs82eLOjTTZMaEw2EkEglkMhldO4lJQZZlJJNJTReWChwHAVJ3bTQaMxOVkySprwMriiLm5uaGpuvT8zLOnKPdbkez2eT7C8VALpcLh4+tofZ3P4J6TcRfWTbhVHCHDUQIhUJ4+umn0Wq1NGt2yM4YQ7kGS+KKLaZ8veoBHl0ATgX7C7+EsJ0lgnVVIgiwuKpi96PaBpIDunrDgrQZJoGFhQVcuHCBq6L3wmKx4KmnnsLbb7+NbDY7lrL9/WTuewyiKPKbQT1ITgEjzZFRkDTrTYYCvmlTHtRo1bqwlGvoWszQ+7bGVhutEys4dPgQJEniFc1Go8GTNxoUJiU/2igJpKqoh2q1CkEQ+AyV1WpFoVDYlUaUb+wkPRYjkKgBv38V+LM7wENzrFtHla3d4LUCTx9iCdj7WeDVOHArCxgFwGJgypaDOm0UE3qt7KfWZibj8Qrwi48Cy2OsY//hKnA9A5wJAx9fBk4Ed+/05XI5vlGLosgTpFgs1jfvUy6XIYriWPdWLVeFUpNgVCS4akWUFhchNLu4Zn0AZfshnDTHYa9U0Ww2UKvV8NJLL6HVaqFQKKBeryOfz8NisXCrAwqceje43lk0p9OJzc3NfStr0b2oTmRJ8TKXy3H5+EES7yTQQV0NSlgooVKbrEej0b6Egbj+49ohqINNtfny3Nzc0EmZLMt8XmU/Ko+7YZiEbhxj8P3A4/Hw9WpjY6Mveex2u/x4wuHwxJNcNex2OxeCyGaze1KGqasNYCLiKYT5+Xmsr69zhb/9FCzVpuUAhi4ykBBJKpWauG3DMCAxFjV9breCziRBnzGKqfEoIP9IdZFJbWpus9nQaDTQ6XRmWjj2er1cTXvayVyvqTthnI4rqZBWq9WRExS3281E5splTfJoMBiwsrKCQ0PEmMRyUkMUGBUzXgE8Tua9ezbMkrm94p6AnSVx1Tb730aHxVPVDpu3e3xpOv6544LO1e3bt7mISm8ibrPZ8MQTT+C5556D2+0eaV4OuJ/MfU/DarVibW1NYwgpSZJmdmvWnijTVLIchFqqDlOrjZrDo5vMAQoMYfZkGwwGHnDTYikIAprNpmZDd7vdcLlcmn8bxDnvdruQJAmKosDpdCKXy+H27duYm18YmMgkqmwhCjsYTWDVs20pUAeevwe8vMFok586zBIj+x77lcXI5uEejLDXvp0CNkpMQdJjZe9lFJn4CKCtZhEcZvbvduNgb7rdUG4B0QJgEFi38L0UcDrEFC1PBfUX6EAgwId/TSYTtra2IIoiut0uYrEYpxASrYVEREZF4YWrsFVrECHD0GzAvxFFJRTBQy/9Z3S+2cF7C6uQP3ES8823uVm90+nk3VqSZ3c6nZpFlhIoQm/xhBStiP5UrVZRrVZHoppRwNRrMk6w2Wz8mOj91R0QNX3YaDRyFUeABdu7GbOvra1pKHLjgj6POh5ms5nbHAyrdKkWGpkm22CvhG5cY/D9IBKJIBqNQpZlZDIZTv+TZZnfW4FAYCbdgvn5ecRiMR4Y6nUHehOkSZuOk4AABdbjdus7nQ5PhEVRHMnonp6bdrs9c9od+U8SjEbjQHXZacFisaDVaqHVak0sgdTzwtNbH9QJxiREXYYFran7Lc4NgqIo/3/2/vNJsizPDsTO0661Ch2pMytVqS4xVS2qunumewaDscESWKxBLna5FGbcD/wXaMYPBJekEWY0kLsEZnYAchdYzBKDUZiZ7qruqumuLpFZIiu1iPBwD9daPs0PN+6N5yrCPcLDs7o6j1lYdWeEuz9/4t7f+YlzUK1WRwL5ZDIJl8uF7e1tdDqdmcmcz+dj6/gsMSFt76d2Oi6Xi/n+yrIMXdePVTD47QvA9RTpEnLPwMkpEXxni3QWyQIhbz9cIvHSkm+6ziAn2u02eJ4/sTX0k08+YaMGuq6PtbPiOA5vv/02njx5ggcPHox0gh2EZ2TuawBqUhuJRKDrOgqFAltsarUaarXaiUiDjwMNPBdZEezl25B4Hv5qHYZlw/R5wVEWZZiwOQ5SdPQB9Xg8jAxTo1G6IW9tbbEgJRgMIhwOjzxYNDMLYGB+QBRFNDUO/8cftbAe9+GlZQ7nI4MzcbstQt6c/d48R9oKvDJRnMy1gXSTLEyvrhCyljzkEnIcyXC9uQ6UOsCNHGmhfFQDZJ70pwOTq24tDXhhadTuYBqkG2QO71SIvL6jEUL3ZQm4GAW+tUHInfO9ZVnGG2+8wWYBqEqkc9B7uN31KOj0JAQMnS3wgmkglM/CVylB1DS42i0Yqzas1L4pLW2fcrYHOjdZWkms5ZvQsxoil8ZvsHTWLJlMol6vo9/vI5vNHjiT4wQlQjRhMBw00uzt+vo6a0na2dlhsu/OQephvyCAtFjSwHgYw2bolUoF3W53pjkCunkB+/O71NYjn8+ztpKDLD5oQAEsJlE0idDRCulRjcGPAzqz1ul0mOAKDehDodCRfQdnBcdx7Pzs7u6OEDUnkZuVIM0COqvcarUQDodnrvrRNmhgf42fFXS+dJEm2sOeccB4YZCTRjweRyaTQbFYZHO1R4UzIU1BrSDGgSZRWq3WQskcsL/uz9OaQdd15PP5ges4SRPhKNeaHue0JNTprUiRSqXw6quvMp/FaDR67O8fVMi8/lFwMQY8rJHXX0sAp8Oz6Q5QaJqGmzdvIp/PQ5ZlrK6u4sqVK3Nfs7rdLrrdLiRJGqg4O0GTNDs7O89m5n7VIUkSVldXR4gHlQYXRRGJROJETHyfFlzn3CjpZ+HOq/BkSnBlczAkGXrQD840YSoueOOTWx6pemIsFoOqqigUCrBtmwWgjUZjIFuztrbGxCcoqGS7IAhQVRU7T6pIVx9i5/xz+EVWwXqAKDheS5IWgSf1/dm2YRT2kpLPxUhFrtQF/vAOqdhdSxJSdy5y+Exb3Av8xlkilPJZAfjZDvCkRiqCtk1+nOuVbROCeSp08PtOwladKFNRsuaViaBKRyctoFt14B9cI5m4YYiiiLNnz0KWZXzyyScTP+MocvztWhfeXBXNcBjt2BlEH96DqBPCJuoaLHAAb0PwqHC+O23JnbSo0gDmzr/7AslPH6F1J4J7LzRx9o1TEMT9i0sTHC6XC6lUim2UnU4HnU7nQFNt5/elQbKzlco5S2JZFmKxGKvMU6NxinGEjfrNTTqvznucipj0ej1sbW1NXW1xCpY44XK5mFhMo9GAqqpIJpNj2xrpcRw3aJwFw4QumUyyYPMk5+QmgeM45vnmvLY+n2/hisWyLDNRqHw+z+amLMtiBJNKkZ8U6LpdLpeRy+Vmar2l/oIAZmr1HUYwGGQGzSdN5mzbxs7ODntWKdkZVtpdFGgr6nGJpNPLD5jeRP5pIRKJoFwuH/uaU/n5YYuHcfoHi8A4Qk0Rj8dx7tw5eDyehc0KHoZXVoDnU5PjqGlQqVTQbDZRLpdZC7+u6yiXy4jH4/D7/Uxg5ri4evUqdF2HKIoTNRV2d3dx69Yt1Gq1mWOdZ2Tua47NzU3WNtZut2EYBgv2PB4PotHo3KpodENZ9JyeYWtwn5Kx9q0z6NcMNO9XYd3OwlWsQup00FlZgis43a2uKArW19dH2j2cWSqOI55046TbaRUjcC+Dtz/9OeybIeTe/C52zn0D/8OXZCbuYoxUsYYHhSno4G5AIWRr2U+qc7U+8H6aCKakvMDbpwi58x3Cyz0SUar8xjLw5w+BexVibbDbBmIeIOomVcGuTv529QidubYN3CmPbwf1SmTYuasf/t5LS0sIhUJoNptjAxRaaT5MoMCJnS+yCFg25F4PqsfDiJzNceBsGyZ4mF4Jhp9YNlAMy45vbm4OBB7b29uIhePwpqvQXC64G2143r2Lh0/qCH77FFKnouj3++A4boCsKYqCjY0N5nu3u7sLt9uNRCIxsoHTjZ62tjSbTeRyOXg8HiZGQXGQ9xatzA+TuVAoBEmSJnrr8TwP27ZZ5WNjY4PNAG5vbx/aLqrrOruO4wJmp9IlbXUeJon02QsGgwtfW5aXl5HNZlnHA0Dm9Z5WMCkIwkCbLG17ehqIxWJot9tQVRW9Xg+SJLF7cNLs5rzh8/lYZXea+Skn2QSOP8fHcRxrN+z1ekeyW5gGw/NTzjZq2jlAW98WCa/Xi06ng263O3OQ32w2B+bS/X4/IpHI1M8WVVhcdIur1+s9FpmjozBOEjytoAm91kdREaXXargtdlyl1wmPxwO3231sVceTwGFE7qB74/Hjx/jyyy/R6XQGYgnq71apVGBZFoLBIK5fv45isYhEInFk5eJoNIrvf//76HQ64DgOqqqiWq0iHA5DURTcvXuX2T9QIjdLguoZmfsVAJVej8Vi0HWd+RbRsi9AgrpgMHisRfE40uvHgVPFyxsT4I0twXo1iUa6g+b9MqSEH/xhE7VD4DgO8Xgc8XgchmGgWCyyKogzGKBD2VtbWwPWBcEneYTqZXDdKuwPRCiWjt6Lr6KmCfiLR2SGraESCd6Ed7x5t/NScBwQcZPK18MaUOuRweG4h7Rgvrh0eJ+4yAN/4zzwWzYhk7/YU7C8WyYCKKZN1KVSR7h8xS5QaJP5vHFoqoTIRQ6JdSRJwqlTp5jsO+3113UdikJsBHq9HkqlEkql0lRZddeqiOY3T0O6VUIwV4JhCxBgonjpCqCpcGXyUNdCEIfOHc36U1CDeCd2vsgh2mxDS0RhuxRYrQ5ijzLoFWr48vIKXBfckF3iSGBLlQE1TcPu7i56vd5YRUqaTPB6vfD5fPD7/chms+h2uwPV98MU3srl8kjGlSpvOhVchxGLxVAsFlm7E/U/o/MX2Wz2wEw6fe+DBCIoSUyn06z6SINsVVXZc7eoNrZhrKysDJzrRQoujIMziXRSXmvTglYKnQI601RW5glaQc1mswcqbDoFw+ZZNUwkEuwczFsqn4rt0O6AcDg8YoodjUaRzWZRqVROtBI6DtFoFJ1OB8Vicerv7rRZAsjadpQ52EAggFqthna7vbAWY+DoVcFxrYs+n28mUSmfz4d+v492uz3zMxYIBNDpdNBqtVgCb5xPIvVNpbPYgUAA165de+rr3rSwLGJBRYXK3G43JEnC1atXB9p2C4UCS0Y5zwNdU2lnliiKeP/999Hr9XDmzJlj2dDU63X8/Oc/Z/+/3W4zY3cq6LS0tIRms4lmszmTquUzMvcrBiooAQxm+5wVh0k+bIfhaYifTAIv8Aif8iN86viL/CS/P4C0oTnP1ebmJjqtDmrqI3CwIeo6Yg/vwVMqoPfz9yD8r/5raAE3vBLwNy8AH2aJabdlkypZeI+XTFrai3stmNeSpJpW6gB/dA94d4soQb2yApyPHjzzxnHARoj8vLVJCN0HWSDbJB50w3K/0+Cn24SclrtkAHn487s6EUEZt2d1NOCnaTLAfDm+T5CpeqQoijAMA4lEAoIgwLIs5HI5NmdgqDYS8QQCkdFKnWVZ4HgOnjUJqZdfxvaP7qF/twh/pQYUyrBlCT2PF8qVFEzsL+hUiXL4WlNsbGxA13U8+sUd8JYJ3kVOGO/3ou91gy9WkPzFAzQyCXRfSUJcG7/UyrKMzc1NJouey+WgKApSqRTrq3e73WyzlyQJm5ubKBaLLKinSmFerxeqqkKWZciyjF6vN6A2Nxz4043tsDbLcTMpkUiEiR/U63VYljUyQ+b87MMyzhzHYWNjg8nYp9NprK6usuDnpNQrp8HwfEOtVntqxFLTtAELD8uyRjLLi4QgCAPtu4uazXZClmWmQjypQlSr1dh5o7Ok84KzWjxP37VerzdAkifZOtAg+6SUJQ+Cs6p5WIVs+PtM6kaYFn6/n7UFLpLMAftqmodVQ23bRrPZZC18TtA24VlAq4JHIXM0SUhFssYhFArh1KlTiEQiiEajaDQaiEQiC1FIPQ6o7sGtW7egaRra7TY6nQ5M04SiKGxu+4033kA+n8fDhw/R7/eZEq6TzAWDwYE1liZBRVFEp9M5UiW42+3ixo0bTLSH7inhcBj9fh+3b99m3UjO9WNSx8w4PCNzv8JwCoA0Gg1G5uiCK8syEonE1JsTvUF/WTI4RwH1+3Nm6p3BXqfTgdrWwWsGyqkVJEpZCKYBf7UMU5Yh3/gI3YvfwsWIjhfDHby5FsT9KoePd4FbJWB7r7gyyV+luReP0/aCJT+ppNVV4jV3pwz8k+eJJcA0iHuBH5wlgin/1w+I790//dl+W+ak4xg5LpWIp1g28NEusUW4miADyYZFiOdacPxrH1YJIRV4IpTynU0PvvPW2/jy1he4c+cOVFWFbdsskOF5HisrK8QD7VEa4p+mUeXSyD6XwulvnoLi3t9c6T0djUahuCSc/60raP9aF9s/fYLg3V34S2UUT6/jzKkEeIFn15UKK1DQCgRFuVyGW/bBu1OGNpT44HgeSMWhVerwVJrQPRs4DLFYDMFgENlsFqqqDgiVjBNJSSQS7Fht22b/OxaLwev1YnNzE48fP0YmkxnbrkpVu2zbHvm9s5USwMSN3Bk8NptNdLvdgRZESsRmUdmjIjH1ep217Hk8nqe6ptD10Dnf53K5TqylbhJs22Yt8svLyxBFEel0GqVSCR6P56m0fpqmOfCcLErdcxirq6vY2dkZqRANz5kd17B8Emjraz6fP7aqJL3ONCs/TaWTJmSehucdDX5pFWcYzoooQOKKeVh60NcfxZPruAiHw+j1eqjVamPbD50WSBSiKCKVSkEUxSPPOdJnfBZxDNM0US6XJ4puUNA52AsXLrDn+KsyH3cYPvzwQ+TzebTb7ZH7ge5TpVIJ7777LiOz48zQaYv/OM9bn8+Hc+fOzXxstm3j/v37bB2iCqBer5clYNvtNrsfZlGwdOIZmXsGcBzHNgzTNJlinaZpLKDy+/1HUgw7adAH4Gkd1+bm5kCFs1QqoberI6pp0EJBlC5cRvLOFwCAUH4X6o0PITc5VC578O7ODnw+H1ZXV/EPrp5DqSfgTx8A2w0yN/ewSlow/fLB7ZMcRyp6PIjYSOwI669pE2GUJT9p/fyf7xJT85eXSRvnWmDyMdg28c1b9pH5vbsVQDWBj3PEpmA9SCp96xPm5TJN8h5LPkIm71WA5+I8rvlX4fVlxraCACQjLnRkeJotwAa8f91A5kEZ5vUlnHltA4IosKyas3LhC3tw+Xcuo/jCMrIfZsCtepDeSQ8YyNMWPzoTQz3daHa50+mgfLuOWLsLNZXAuLtP6PbQTkWxeXa6WQNadRu2AhgXpNMqmyiKsG2bbUj9fh8bGxu4ffs2+v0+y1gPt1haloVisQjDMEaCCsuy4PV62Ya2u7s7Us2gv6NtQtvb22yObn19fUDVdtZKRSgUgiiKrCq6aHsVJ+jMotfrhSiKzKevUCgcyfT8OKDt3cFgkFUDqKF4JpNZqDgMQO4TmuCgYiiZTGburYbTQBAEVi2p1+sIhUIwDGNgjnTe9ghO0IQHfZ6O+jnDxGfaeywajaJUKqFery9c3TEUCqHRaKBarQ48q7SFnILaojwNg/V5gz5/wwRp+PoBZP0Kh8MLT7YMdxGNg1Opmed5hEKhp5aQOQ5ardZA9TOZTKJWqw10o1DBMSdM0xzpjBnuYKGEzzAMFhNMAu0O8Hq9rEjy8ccfs7EdnufR7/ehKApLgGiaBtM0WXfBUfGMzH2NcRSCIwgCMyVXVRXFYpFlX2kGNhqNwufzjchRA4tXmaJZmEVmkIYfOFrhtCyLEGGtBtXjgTtXgCmKsG0OHEdeE3t4D89X2mhzq6hviKjX60T9cs8M+J+8cAF9g8j5/yILPKiQ9seIB4jsrbHKhL2woxOp3/ARCgaFNml3XAuSql/SRwjaXz4iRuQpL/DSMmnLHPbOq/dJu6dfIbN3r6+SlsvbJUISn9SB68nx6pu2TcibSyLiKeei5Dg+KwC37lk4d7MKJWJg6dL4UmM324DPMKGdWoPVU+EvlYEf1fD4bgniiytAyAbHc+P92cIiPC/vExQ6jB8KheD1eln21FkZc7vd2NjYQKVSQa+SA2xAqFRhJmLgHUGKbVkQTAPqWnBA2XIaRCIRaJrGNtlxs3Q0SKIefdSKQJIkrK+vI5fLoV6vI5FIDLQ2bWxsQFVV5PP5iW1ZzgokrThQ9UQaqNONk857bG5uIp/Po9/vD8yUHtVMmQ6J27bN1BIX3epjWdZA+yBACHc8HkepVEImkzlRguBEvV5n646zxTMYDKJWq8E0zSOJUBwVTp8zamJMW7cWbeRMkUgksL29jXq9DkmSmKjDosRYKLE+iu8dvc/pMzmrMTS97k9Dqn84DnCa2NPfr6ysnEjiY5KoxyIx3NlE4TQ5H4YkSdB1/Uj2BlRwZ1wV1jTNgfWbgvoQbm9vw7ZteL1ehMNhiKKInZ0dSJIEv9/PYr+vIizLwt27d9Fut3Ht2rUB0hkIBAbIEJ33GzdTTFvBaQWs0WiwtWv47+l+t7W1xcQDxxl+U3zwwQcol8vwer3QdR2yLKNWq8Hj8cDlcqHVasHv96PT6bAEq6IoWFlZgaqqaDabR56DfkbmvoagN/RxN1RFUbC2tgbbtkklYi/LQwM7SvwURWGB56LnJZxzRYsCrYIML6Q8zyMej6Oz2UE/fhqtHRXKoz358E4TkmWAM0zIWg9hvwRfJIxqtYpGo8HeM5FIIBwO46Ul4MUUqdLdyAOf7JKKFzDZQLyrk3m1SUblB6HYAXRrv32T5/aVLmt9cgyZJiFeb64N+sXttkmLpbMlM6gQUtfWgFtFYLsO/N8+AL69SawVqOBLQwXyncEZPa8MXIgCrj/5YyS++BydeBC1lIBev4dUKjUQPEi5Fsy9IIF3KzDWV2C1uwilCzBzFdQ3UpBfHx8UUUJCZeZpcFoqlQYqWeOMwEOhEJrXWii6ziLw5S486Sx6kRD44F5mutWBrrgQOn+0wIo+T3QeKZfLged5prRKkcvl4Pf7Icsyzp49i3PnzoHjOLz++ut4//330Wg0BlpycrncVMEe3RgVRUEkEmFEd2triwXGLpdr4FqkUik0Go2BDOlRsvC2bbPWWirsksvlFk7oaFAUj8cHvqfX60Wv10O73cb29vaJV6I0TWOB4sbGaMsubQEuFosLI5e0Ddjj8TDSMa0QyUmBqgzXajVG5A4KqOcNKsgxK6EaFsY4SsV3mFAtOqkajUZRqVRGfCxPqq2Vgop6NJvNqTw75/3ZzWZz4DvLsoxkMnnouuf1elGv19Hr9Waed/X5fFBVFZ1OB4FAALZto9VqDSiD0r+jwhqGYaDRaLCZrEAggF/7tV+DpmnMG/fy5csLnz10ot1u4/Hjx/B4PFhfXx8hTOVyGdvb22i32wiHwwMtj3RWlSb3h1sVQ6EQmyH3eDwDIlLO/Yp2oFAFY6fiqqqqKJVKePLkCS5cuDBy/Ds7OyyZU61WBwzmVVVl+3Cj0WDxKs/zTC2T53l89tlnTE3zmc/cM7CbYF6ZMI7j2KyYbduoVqtotVowTXOsOtMiQcncIlsD6IJx0GdKXg7nfnARhm5g9yd30X9ch1DtwdNqwZQl8EEfAoEAqtUqy8QUi0Xcu3cPr732GgDS1rgZIj/fPQX8i5vAvTJQ7e9Vy3zAZnC//dG0gNUjrsWZ5ngSyHGkumbZhOx9WSQ/ZyLAN9eAq0kg3yIVtnGiK26RvEdTIybov/8Z8NMtQuqeTxHxl5ZKVDmH4bE0gOMgSRYsnmOzZDTT3qx04Kk0YXjcA4IxvM8D3ecBn8nBVW3B4onh+7CwD52joZnRzc1NFlgdJiZQrVbBixzOvH0K7atLKL/7GKEnOXCNFrRUAlKzjVYyitOnZq8IOHv+o9EoRFFkvjNOM3uKVquFSCSC5eVlFsS5XC4oijIy6K5p2sAsW6vVGpgPCIVCTHQmn88PbIpUiIYmdcZlcWmliKLRaIyo7x2GcrnMNjmXy4VkMolCoYBcLnegJ9880e/3GWkeF2zFYjE2DF8qlU4skHTOyS0tLY0N0gVBYObV2Wz22DNbh4G2LlLPUgrndXkaMvkABtqoJgmGnBQ4jmOtntOI0ti2jUKhMJC4OU5Vjc6uLVrdkSZ7nVjUc0qTO51OZ2Fkbrh9FADzIpuWRHs8HtTrddaSNwu8Xi8qlQrq9Tra7fbESk4sFhsgBHRd9vl82NjYYJ5xb7755kyffxL45JNPkMvl0G63IQgCHj16BFEUEQwG8dJLL4HjOGxvb6NarcLv94/EtleuXGEjEOPORygUGqtGTn83rOTO8zw4jhsgyDTJeP/+ffh8vhFRLk3TUKvV2L7hPPfO/02TTr1eDx6PBysrK2wdffvtt7Gzs4P79++j2WzOlIh6Rua+hqDB4ElkxDiOQzQaRTQahWEYKJVKA4FvLpebeWE7Dpy2BIsCXRTGnd/hGT5RErH+vSsAgFq+hdoffgF/oQLt33yMe6sx2Jt+KEkBnCxAEAQmOzxMioMKUaq8XSJVrKZK5urybdJ2SbsQx5Giw2DbwOM68YMbh9LePr0RJK2SPZ2Yjz+okHk4DsCkTu9qj/x+xQ+sBADNBHZbwO99BpzaIgIpmjWeCJZ+9+/iZuImUokKUtgXWaADzL0dHbFeD+pycqz6p2AY6CeDcAnkt7TdcHl5mV2f4YBDURRsbm4OkJitra2R4IRm9vr9PmJrIbTeCKO64Yfr0zz82Rw4ANp6cGZLDGBQwWocsRzerDweD7MuoJAkCd/5znfw4Ycfolwuo1KpjLQHa5qGQCDAyJwsy/B6vTBNE/1+f0ThcnV1lalN0u8+vNnQmQL6WbVaDbquT93mRr0abdtm8zdU9a5YLGJ3d3chgSKdezmIGK2vr2N7exudTgdut/tEElmUOAUCgQOrkpTMGYZxon5nhUKBBSbjzg2dKdzd3V1odY62fTrv8W63u/BKQzweZ6I0BwXpw9W4eVSwKJmrVCoL+97DXnEAnkpVdhEY9vpzYlZ1W7p+zUpCncTZsqyBvYB6wZVKJXQ6nbFCGmtra4jH4zhz5sxMx3uS2N3dRalUGpjv6/f7ME0TvV6P2QucOXMGiqIgGAyybhqKQCCAq1evotfrodFoQBTFgYTc8LlwVufGiQt5vV5omsbU32n1lc62jRPdqdfrEAThUEEemqCVZRmRSATPPfcc+x3HcVhfX8fq6ipKpdJE1dFxeEbmvoaYd2VuEuhAMzD4sDQaDRYgPg2p6pMGzXBR1b1IJAK/3z/wkI/LqIRTfuSTPgRyJUCUEH2QgfVIgBrwwEp50b0YRs628e6772J9fR1XrlwZ6Kevdkn17GKMELBcm7RhqibwaYEQptARCpQ7TeJbl26S9zoVGhQ7aexxCTrz5paA02FCzLJNUrGzQWbjln2Ds3HFDjlm2oIpC6TSqJlAtgV0NTLr9/PMYPslALRlP5qXr+NVz6cIS14YhsECVgCwyypEXYeqG8BQIGRbFjgAVmw0qHVmVQ+bS5FleSATu7GxMRAw0nuA4zlELwbhubaK7R8/hFJoQVxRjjTH5NwMKJETRRFerxfdbpfNpQD7ROeVV15hrzEMA7VaDZFIBK+99ho+/vhjtulTOwFgkDRSspTP50e89Ci63e7AwD/1n3Oew1wux7zoeJ5HOp1m2eNp5udqtRokSWJy8xROk/Td3d0Tbd+iwanb7T5wDeU4jrU4lstlKIoy12Nytl9PMz/l9Hw7iXbLarXKrv+4dk+AJBEomV/UHBP1JqTY2NjA9vb2QkkNhXO9Hjc7aNs2isUiO4/znOdbpAjYMBkNh8NoNptPxcSbzp+dhJKnZVooZ6voWvtBNcdxWF5ehiRJR1YenBWmaaJYLI4k9mjr+dbWFnq93qHHY9s2rl27doJHOjvu3bs3MNcNkO8riiIkSWJJxUgkcuA6mEgk8PrrryOTyaBWq7FWyWG4XC4kEgn2+3H3q6IosG0bLpdrZD90u92MANJOtc8//5zNMR4Ev9+P5eVlnD9/HplMBrFYbOyewfP8zBZhz8jc1xAnWZk7DBsbGwP92+VyGeVyeWC+7pcdtN2MgvZIS5LEvt+kh1Cud2HzHLhoCIbXhdjjBzDbdfTKbnTSTTTWY+i9StSOrl69OvDa3fa++AnHAct+8tPRgM+LZJYucQS7KdUEentfp9AhP36ZkMaD/OpkgZC0eh/49gYxH9+qE/K27Cekr6mRv5OF0deeChEi93mBvObTPRGwF1KEEHYMHqeXwvjdV98Ez5G5gO3tbWSzWUKg4i5UV5cQKFRgCjyMeBS8QjKeVrsLXZYhRMW980UCzEgkgm63yyq6nU5npF3WSdaWl5fR6XTYDI5zVmh48VZVFfF4HN4X/bAtH0SeQ7FYBM/zjNwcBnpfCYKAtbU1tjkbhsHand1uN8rlMqukvfrqqwP3240bN5g4x0svvYRWq4VOpzPRSw4gGxw17p4EJ/mjMv3UM4daRVCJdEqCaGCtaRq2trYOJBlUCYy2oQzD4/Ew8ZFsNnsihM6yLDYvOY0YgCAIbK4vm80ys/PjQtf1kZnOaY6FVmco4Z0XWq0WOy/r6+sHBusrKyvIZDLI5XInXqVxEjlJkka+81EEJo4LOjuYz+cHFEaH2/NO4v6lbZ4nRaQty0Imk2FrCfXE5DgOhmGg1WpBVdWFjj0EAgFUKhW02+2ZW7onQddM7HyShfllDu5yE71f20TonA/JZHKh99M4RUqnr6MsyyPCK5MQDocXrnh7EEzTZHN8PM+zvZSSc1mWmdXOtKBdYzSxkM/nWVKFCpD0+/0B0jvufqXP5bBFEUASlp988glcLhd6vd6AMvQkKIrCrAhSqRQ8Hg/Onz8/9feaBs/I3NcQ9KZ6GmSO4zgEAgEEAgFYloVqtco8PWgmz+VyIRaLHbtySIPuRUsd0/NLFbroDKGu64xI00HbgcF0y4Kr3kGg04B4pwaL58FxgAgTfq0NV7kH1eMGL4RZzzaFZRPFSdeYS+qVgdUAqcq5j3DJ6z1AN4HXVvarfS2N+MXRObpJpK6rk/bMH54lfnWfF4D30sRWASCkTT8gWeWViFAKJaQcgJt58rleGXhpCXAp5EvRhXp9fR2PHz9GLpCDejaI5v1l8DfT8OcK0BUFVjwKoduF5nVDCpIDTyQSUFUVfr8fXq+XiVvQxdoplOCcIZuU6TQMA5IkDZA50zRZYMnx+1Uby7KQTqenMiumKnC0xcQJumnT/0qSNJK9M00TtVoN7XYb9XodH374IXq9HgRBAMdxsCxrrPxxOp1GIBCAIAgwDIMFLJZlIRaLweVyIZPJMKNbURQZUdN1HVtbWxBFERzHDfguUTPwTCbDzs8kwlOv16EoCjhuvPooACb5XC6X2XzYPDsQ6PmPxWJTVxdcLhdrc0yn08cmMLZts+OY1Y8rHA6j0WhA13X0+/25BNXdbpdZNKytrR16PKIoMjnvk2z5pM8VsN9iRkFJf6VSWbgwBm2hc1apaOsbQO7hkzqmSCSCbDaLSqVyZCXZcaCmzM62r+Fnz+v1ssTRIsmcz+dDpVI50nzuMLrNPtIf7kC+U4CvUgNnA4JlgYeHdSE5QYnHUaqRtOtjOOFgWRaxOBpa/1OpFDuvqqpC07QRwRkn6DMoCALTPDh9+vRMx3gSME0Tn376KUuQUv0FYFA9khp9zwrDMLCzs8NUO91uN0zTnNiySD97kpCMcy8ESFtmp9NBsViErutwuVwHErlUKgVFUaDrOquuLi0t4dq1a3ONXZ+Rua8h6APwtD3heJ5HLBZjg7h0vq7f78/Fv45+z0Wb91LQAJmSDGfmtdlsotlssuDW5XJB7WqwdYvNd/HOSgkH1MNJ9BJhbMbjWF9fR7fbxRdffIFut4vl05fQ1pJwS+M3DNUggijjYNvAgz3PunFtmOW9uTZnta/WI+qZ1l7cb1hkTi8wlOzt6GReT9pbk15eJsImXxYJqXtQJZW7w+CV99UvvyiSzzUtQi51c//9AbB7qlKpoNfr4WHqIXbWJRRuNeC/m4d3JwveNNHcTOLimVPo9/uoVqtYXl7Gm2++iXQ6zYaVneIzAAlQpsl0UpJTKBTYIj9MkjiOG8iiUhXYg6o3zvcYthSgG7fTBmQ4aEqn06wKt7u7C1EUYZomwuEwaxnp9/tsuNu2bUZEms0mZFnG2toaDMNAoVCAJEkDQ/p0g6Sfv7m5id3dXWiaBtu2YVnWyPNI2xHpvF06nR4Rp6CzIE5rlEmgQkyVSgWZTGZuhM5ZaZ21NTwUCjFvTqq8eVRQIufz+Y4UFNOqaT6fP3a7paZp7NlYWVmZOvhYXl5mLZ8nUZ1zesiNEw7xer2MQC2azAH76o7DFiAnPe9JE7hHlTcfB2dnAkCI8rhqCa0Edrvdhdoj0Pv7oM6Dw1DLNZH7MA3voxJi9SZMQYQai4B3u+DeLcCqdce+zu12s8TJrHEIncvqdrvw+XwTZ/LG7ReyLDMSSddvYN88fmlpCTzPo1gsYnl5GdeuXUMkElm4yuk4cByHfD6PUqk0YtpN7W0AUnE9SkKi0+ng8ePHqFQqUBQFzWZz5N7Y2NhAv99HoVBAs9lEuVye6PG2vr6OVqvFElrjKqXdbheyLDNhGycKhQKCwSA6nQ50XUe5XEa/38fS0hJSqdTM328SvloO0M8wF8wqaboI0Pm6zc3NgWxzq9VCOp3G1tYWWq3WTKaJdIB1kWTOeXzjFlgKZ081VQXc3SpAME0U1zaRv3B55L3rkQSk730bL7zwArLZLN59911sbW0hk8ngP35wGzv5Mh5ULPT1PfLgCBJMe7L4ycMa8P+6Afyffgb84V0g3SAEj6LQAYZ1OsJuQq6c5O3LEpltKzv2Nc0ghuJOiDxwPQX8o+uk9XP49wfBt0fqNkOEKN6rAP/sI9KCaQ7t1dFodF+EQbDgveJB4B9+A4Xrp9H1+6GU29j+NAtN1aBpGpP8PX36NN5++22sra0hGo0OXEenyfAwJEmCJEkQRREej4dVxlZWVpBMJhGLxQbeK51OMyLnbE1Lp9MD1T8KuqlR8uPEOHVAj8eDM2fOoNPp4M6dO3jnnXfw8OHDgfejksidTgcrKyv4/ve/j0AgAFmW2b0cCoVYwkHXdQiCwLxvDMMYqDiOqyxSFU1KXichmUyyzPnOzs5AwEmVu3ien4owOAN4WvU7Lpwqn0cBJXCqqo69vtPAKUl91FkqKj0OYMTAeBZQXyWAZJdn6fQQBIH9vVMGfB7QNI09p+FweCJxoM/LYcq0JwH6HNDPpv6Ui1B4pM/PcZ8JwzCwtbU14Ne3sbExse2Nrm/zeBaPillNlzudDp48foL6v/0MyY8fQuqp6C+nYK4tQfC4STeDJIMrN8e+nsYew1W0aUA7QcrlMra2tkZmmCnGJf5oQisQCAwIeITDYQiCwIhSPB7H5cuXmR/oYVANopitnmAIyfM8JEliFTMnKJHzer3MomBW0O4OURShqiosyxrZU2lxAQCzwQEIgdzY2BhIQKXTaUbkhrG5ucnuAV3Xx3oN2raNer3Oig/0eO7evYsHDx7M7Xl5Vpl7hoXD5XIxv6x2u80eFFq5cFazDsLTsCWYliiHQiEEAoGBGSStpcNrmECrDVPZ39Rry2sI5TJI7G5Be3IPn/uIBw1d2ACg2DRg9Zt4/id/iXApC01xI6ZWUf3+r0N/mVgZTBI/aapAWyUE7c8eAu+ngStx4NVV4ue225rsXUcX9ZeWCJnrG6Ta9qBKSJqNQX85Jyo90j65dAQNgv7e54ZcwOMq8KhKKoBvnSL/ddooXL9+Hd1uF9VqFcG4D+Zra1Dv7yJUKKH/x23sbiYhn/Og7Wrjs88+w5UrVxCNRvHNb34TrVYLH330EatMASQYoou7ZVnw+XwQBAE8zyMQCMA0TWxsbOD06dPgeZ5VpPr9Pn7xi1+gVquh2+2C53l2v5imyWaJACL0UavVBipUdEYqFotBEARsbm6iUqkwnzknOI6Doij4/PPPmQiLpmkwDGNsVYkOk9PhcKePXj6fh8vlYjNXFIIgMMVGt9sNVVUPbGOyLOtQVbdwOAxJklAul7G7u4tEIgGXy4V2uw1JkmYySvb7/WwAfWdn51hS9HQTdrlcR67yUSWydDqNWq3G7CGmhWEYbC08ShDjRCQSQbPZZJ0Qs66RdDYKAGuznRVLS0tIp9MoFotzq871+31GUA8T10okEshkMigWiwudFXIaqgOTK1knhWg0imKxiFqtdqSEgG3byOVyLNkyy8zv0wLtgJimQmbbNprNJltvOZ6D7pKhSxKwlBipcJiyBLHRhq6akJTB9YU+F7OSuWEBGYAQw3g8zs4zrbKNA11XaAcQBV0/lpaW8PzzzyMcDh9K4mybiKDdKgKf5IhC9t84T0YnTgqvvPIKPvjgg4nnjdp8HAWlUgkej4eN+QCj889OU3vgYBsT5zWg7dxUPGVnZ2egTRPYb28Nh8Njxc9oUjifz6PRaCCZTLLk23HwjMw9w1MDzeTToIwGmbSaBZDsajweH5sVplnPRc7MOXu4Dxqud85aUauGh+0nqFzbgOdJGd5cAZotQoQJ1R9Awf8clPQuumYPcpcbIHIAENvN4swnHyHWKIDraDBECRbHof+LL/Fg8zUI3MFkDhxps4x7yP//aBe4kSOtme0DOnLUvaSRLBBhEtMC7leAuko2gKR3X5RlGKUOef2k3x+E6t4aH/eQz+jqwO0yqdRdSQBvbQLnIqQ1NBAIIBgMMoGUflpDVNXQ2VgF2l2sfvEAjUwYjTN9eF4R8V7tPVy+fBnnz5+H3+/HW2+9hXw+j1u3brFsXSwWg6qqTMExmUxCkiRcunQJ29vbyOfz8Hq9bE5HFEX4fD68/fbb2N3dxb1798g52Jt9cG4eyWQS5XIZpmliZ2cHwWAQ4XCY9fQ7N4BoNIpAIDCy+dBnZHd3F4qiMOEQp9WAE14vUQN9+PAh2u32QAa73+9D07Sx8vp05i2Xy0GWZeTzecTj8QGSQokrVTI8DD6fj/nYFYtFyLLM2oxmnfOlprm1Wu3IhI5mTgEMzF0dBTzPMwGMXC439fHYts3I07xEFo7abukkI6FQ6MhqxDzPQ1EUqKo61m5lVjjb0KZReqOkfJEKi872T4p+v79QMkfXj3a7PTOZazQaAz6RVC1xWtBAdtGKloFAgHlmTrovxs39UWXDe8EGhIyJcdTJkiWInS76DR1SYvBZpt9xmtku27bRaDTGtvGPS3YoioJer8cMsSmcLX/Dx0ItatbW1g4lcg2VWB19sgs8qpHEa0AhStMHxQTHhW3buHnz5oDvHc/zA6S03W4fqaLebDZx9+5dFIvFgb1kWC1TkiTE43Hs7u5CEIQD1+jV1VUIgsCEvHK5HLvezrb8SCQCnudZwokmbJ2gSYdyuQy32w2Px4NarfaMzD3D1wccxzHpWdM0US6X0ev1oGnawAwJfWCeFpwLDA14nOIZ49BoNIhsuY+H9IIPye+fQ/pGBupnafBNFcp2Froiw+R5qLaKZnO0+ufLV5HMbUOBDkvgIcNES/KjGUmg1idm4ZMszZwzaxwHBF3kp6cTSwORJzNx2w1SqYscECMJPHApTrJ5d8rESmBlQuWt2NmfxZsVlETSCpxHIuStrRESmm4A/+uXSXWQtgUyglLXIGsq0O1ADwXh3t2GXC7A12iisV0Bv+rDY8WD1dVVJlKztLQEy7JYlY5mb3VdRyKRgCAIyGazaLVabDaqXq9DlmXwPI+LFy9ibW0NHMdhZWUFKysrKBQKTIBk4BwOKVU6rTzINRo8YZIkDczeUei6jqWlpYEMbygUQjgcHvCDo4IUjx8/HtjU6HFkMhm43e6J80VUirvRaDAxjEAgwIJzqtg5y2ySy+VinmTUamGWqpwTwWCQEbKdnZ2ZFSXp+jJtK9JhkGWZzUzt7OxMRaToNaQD+/OAKIrsvikUClPNZzjVIX0+31gPplmQTCaRTqdRLpePReacAewsBCMQCKDZbKLVas0lYDoITuVBv9+PSCSC7e1ttFqthc6QOTEtqXJWPAFS2T3K+fJ6vWg2m0eaITsOaOA+nAQFSNK1UCgM7N0+n2/weZ9ksroHUdOg1lT4E7NXqE3THDGzFkURqVTqwLZ+SuZUVQXP89jd3Z3YGSTLMlKpFE6dOoX19fVDE0h/eBf4KEuSphJPumvWAmSvVmt7CeATAjXEptcjFouNiJOEQiGEQiHs7OwgFAqNtO/TzoFHjx4hFovhypUrME0Tn3zyCfPCHEewxyWBDmtz5HmerT2maQ78/bj3o+J1wy2/lLDTfbzf76NYLKLf7zN7q+PgGZl7hq8cBEFgGXJVVVEqlWAYBjOLBmY36ZznsQGDLRA0W0w3FFmWYVnWwMLr7IeX3SIufOsMnqzyUOs2zK0OfFtlcJYNwTu48a6traFUKsEu1QGOQ9/rRyccheHxQtBURL73ClISqZwtTYiVip1RawCAKF+GFFJlo7i3l/BbC0wmaQBZ9GMeshFMIn/bTUCe8wrjk0m1zrSByN6+alkWWq3Wvpl7uYN6fAmr2UdAFgAH2JIIj9mHUC6jaQHtSm8k4F9aWsLGxgZrtdN1nfXdU+ltp9IVbQmm98Ly8vLAJppIJPDaa6/h5s2bqFQqbB6NZuVmAd0AYrHYwAC2LMtMHMUZuCWTSdbKoygKy1o7QWfqqJ/aYcFbMBiELMtMobbf77Psr2VZM1fEJElCNBqFZVloNBrHCnhDoRDLfKfT6akJHW1NBcbPAx4Vfr8fvV4P3W4XmUzmwDY/6sMHYO5iHdFolLWfTSNXTxNUVBb8uOB5nsnlN5vNIxGEWq3G7t1Z5fyp/1m1Wj1RMudMnszqD3USoKIYh5FY0zSRyWRY4OlyuZBMJo+c1PB4PGg2m+h2u0/9HBiGgVwuNxB8h8NhBAKB0e/nEcHBhm3Z4HgOtmVD6PYg15sAz6O7koLXNdtmNk7QJBAITNX6CJBrYZn2gPiMEz6fb4AE+Xw+nDp1aqpjS9eBRp8kSIeTwCJ/spW5XC43kJgcVox2u93w+/3odDp4+PAhAoEAvve97w2cs1qthlu3bqFcLqPdbuP8+fP47LPPUK1WxxLeYT/Uw+AkYsN2PUtLS2z+ftweI4oibNuGLMtYXl5GLpeDqqoD31MURSQSCfT7fXg8HrZ39no9Npc/K56Rua8QnKpxz0CgKAoTJHCqajnL1ycpfz0MSuDo4LFlWSiXy+h2uwPqmoIgsMB/bW0NlUqFCQFQWXyO5xBIKVh+8TR203m0Gz3Ifm7k81KpFLLGl7A5DoaswFcpoWtZaKeWYfsDcBs2TK2H7YfbWEolBxYt07RQ6gDKhLJda2/Rfn2VVOfulYk33E6T/ACEQI1D3wCSwfEVQc0Ecq1DE55jQYVOxhFQgHjiJb37c343btxAu91GNBpFIVeAUm0jXiCVjr7Pj14gBMPtgc1zUDUge+Ey/ovvvzIyB8TzPF544QVYloV79+6h2+3CMIyxVTEK6l0nSdLIws5xHOLxON566y08evQI29vbcLlc8Pl8B2Zkt7a2BhQanRuL1+uFJEmskkPfExg1llYUZUAFcxxyuRxEUYTb7Z4q2KUm5fl8HoIgsHv5qKpctVoNfr9/LsQhHA6ziuq0hI4KfMzTk40ikUgwie1qtTo2mKBdCMDx5+QmgVZAc7ncgVXCXC7H7rV5ytonEglsb28fiVDRYA04eK5lEgbsXU7Ac85pjwCMHuNJGlofhGAwiHq9PvGcU3sPapcAjFoNHAU0WdDpdBZejXS5XOj3+2NJ1GFzi1JQgSmI4DQdQr8PudmG4Xahe34DrhdWsHQ2AH7CHuq0JwDArIqGMa6VclwFx9AN7HyRQ/9OGa5yC+obK1Bio/eO83XxeHymuVSPDIjC+L1b5PfjgnmjUCig2+3CsizWgg3se/e63W4Eg0Hm3UYVjj/77DM8//zzAMj3vnHjBpkT75nIGBL+6vMc7GJpgNxubGxA13Xs7u5OpXRKFZWH1SqB0fuHxnLjBHfomkOfsUntorIs44033oAsyygWi/jyyy+Rz+cRjUZx5coV1Go1PH78+NDjpnhG5r5CoIsrZe3HUb5atPfaIkBNF2lLFc3W0taxg+br5gW6KDiHlOlwLQ082u02/H4/lpeXUSwWYVkWC+yGoWkaGaK1zBEiB+y1gNk2RAMQTR2uKllolG4HnGGg88WnqK9cgd3K4dPaDRSXl/HGG2+w2YW/eOc93M+fhyX7EVH8cA0xJNOxFok8cDlBWii3GmQQGiBZuk/zwOX4oEWAahJSNQ4tlRh/F+rEWiDpO9iA3InyXleiZpK5u2GBla5OfPVonCaKIhMi4aoaBHW/vaLvD8CUJLhqFfSDYcidPly9Mj799AauX78+VkKe53lcunQJy8vLuHnzJorF4oGKfKVSCaFQaGIFRpIkXLx4ERcuXGALfTgcxsOHD1GpVKCqKgRBgCzLkCQJzWYTmUyGKTY6A67t7W0WcNHMLG0tmqWyRNeY3d1d+Hy+mVrBJEnC8vIyO8Z2u32ktUrTNHg8HrTb7WO381FEIhHmF3QYoaPrBz3vJwFKppvNJlwu10A7tm3bjAwnEokTax+XJIndK8VicexcoDPo2NjYmOvn01meTqeDer0+9bV2ypQfx4w9kUigWCyiXC5PZQQ/LZwiFrIsY2lpaYQoB4NBlMtltFqtud3j0+Cgys+wEfVhYwJH+dzj2AQcFbIss9Y1imlbct1hF0xJhDeXhxoKofONS/BdSyG24gHHH1xFo/YEw0kzl8uFeDzOnvFxUBQF/X4flmWhWe5i92YGysMKfOU6/KYBzrZRrKew+fKZkXlG574QjUZnure90qg6NIXIA32dJHen3bOnBd0nlpaWIEkSW6MBklhzu92o1WoDBEjX9YFRhU6rh+4vdmBu1+HKViEIu/gPxmm8GegOkCtd11nr8GEzjbSzZRg8z49Nsk26z2l3CP3MSZ+7vLyMq1evQpZlvPPOO8w8vd/vQxRF/PSnP0W73R6YIzwMz8jcVwgej4fNj9CMsdvtZup204DeXE/DMHxR4DiOmeMC5LzROaaTnq+jJfxx14Oee9M0mcIgMKqctLm5ObChHtSzzfM8dNUEx/PQeQmcpUOABXBAsJiD8d6P0fneMjx2A7qio1Qq4cc//jF4nidtdJqJZfUedtRVfPRQxVIyjqUAf2DFjOOAUyFA4IDsXoKxZwAf741mXU+SqphlAZEJMUDUA/zvXiF9+dRvzi8TwZXDNoieY/17WCM/zlk+2ybkkOL69es4c+YMPvzwQ9huD3SPgozvLNxqF+FKEbrbA2+jBn+1jK7ghpC1Uasphy7wwWAQm5ubqNfrY8mcKIrMW0ZRlEODNWeAdfr0aaytreH9999Hr9eDoiiIx+NQVRWVSgXFYpEZmtN7mGaendL1lEQCZEMargzQTGUwGITH42HBp2maLMin4i2zgCpdZjIZeDweZDIZLC8vz5TZr9VqkCQJwWBwrmIJ0WiUKeWm0+mx1SgqmgLgWJ5wh4HjOCZEUiwWB6ofNAlFB+FPEnQuhc4hO8l3o9Fg98lxfekO+nxK5qa53k6VuOMeEz2387RIcK7vB82Xeb1elMtlNBqNhZI5+tmdToepmeq6PrAXjfPn+2XEuErcrFVGf9SNzMVl9H1eJF9eQSIy3Uxmt9sdCbjp/NM096zAC+jt6Lj3iy/g2y4h0e7AFETokSBMrwfy1g5sg8yHTZqXoyJZs8AjEbI2DMMiyVK3SDpvJnXlHBXhcBjf+MY3cPfuXVQqFUJi99qgAYwYdkuShFAohG+88ho+++Ah0v/836Jd1yE2Woh2mhAtA41oAu5aGZrbGFAipTE0MErmNE0baF+lRM7pe7y1tTUx7h42Eh8m2hTxeByNRmNgXjIej+PUqVOIRqN477330Gw2IQgCIpEI8+akmMW24BmZ+wohFovB6/VC10lQrmkaer0ey+xQVcSDFgn6wM/DRPeXBTQjpaoqisUiTNMcmK+LRqPw+XxzCVLoojDuIXcSR0o26SyR86FMp9Mj10dRFAQCAfT7ffh8PhZ0r6+vo9ftYesNC/xnAriaCm+zBY/ahWCb8Od38d0/+dcoPrcKXCCbC1UXpH4mF2Ubp+0c1OA5WNEEHtZI1StxSEdvd2/9e3kJ6BpE+QoAPttba3wyEDxgzwsqwPdOA6+sAB/vAj9NAw8qgF85mNRRwZaXl8gMX0vbn+W7FAPAAVFHVy1VRb148SJpxf2tTbSCl1GouZH9/BZi1Sw8zTpgA5rsQvvFi1gOhQ6U2aegrRrUM04QBDZnpigKlpaWsLq6OtV7DUOSJLz11lsjamVffvklGo0Gy0bSDSOVSqHX67HFfmtra6Q9cWdnZ0CynQ5uB4NBlmVMp9NM6EKSJAiCcCQyQYlKuVyGoijI5/NTdxRYlgXLstDr9eba0kdBz0u73cb29vYIIaDP1yKMdGkVtFgsIpPJYGNjA91ul1WdjqugOS1ou+Xu7i5ryep0OiwIcXohzhv0GW21WqjVahPnV5wCLMD8yCVt6ZpmbvAgUNVRup4fZgLubLlaNMLhMGsb4zhuYO9aWVk5sUowbZk7aUXLYRJHP5f+71ng9rjhedFPun8OIXJO5W0nRFGc2qOyXe8i/fEOPLcKCDfbcHc7aIdDUFeXwYmCg5Rw4PTB+Xuv14t4PM46fURRxNmzs/kIuEQiTka+D1G2LHUAC0DMDTyfIsnceUNVVdy6dQuFQoGtf8MEbmNjg4mCUfL30zstPPpnf4rUowwiRh8CLNKZwwGioeHqB+/C/OEyeMejSDu1stksuzeoYbcTdB87LKYb9+/lcnmkLZPOq/I8D4/HM6I8qigKIpEI3nnnHRan0s6i43jO/epE/L9EoG1MAJkHKxaLrHxLq1GTPHbogv11rsxNgqIorM3NWfmi/nU8zyOZTB5rM6fnt1KpYGlpaeBhd7Y9OA3Q19bWBoIUy7IGMjUAIZyvv/46VFXFzZs32b9vbW0RhbukgODffR5mD+j+xy/QqmhwNTrwdZqIaFn0TgexuXmZtf5QAkCPYSkWgsfTwZsvmthqivhwl5AyRSDtkpo5OqPW2SNzkgAEBTJX19OBz4uAZZPXTjMoHVCAt08B31gmlgjvpYGHVdLqseQfJXU9Y/9zryRItvCLIskU3ikDy77xvf7Ly8vQNA3bgW2cPbsMb3QVP9m6jPf+8GcQGm149Q7q0RSe+/aLeOnFM1ORDo7jcO7cOZw+fRr1eh2CIKDRaLDEyzwwHHicOXMGqqri0aNH7J7iOA6FQmFkzo/e42tra+j3+yiVSqytyznH5mwL3tzcZK2jNHt/1KoBnQtsNBowTRPFYhGRSORQcthqtSCKIjMbPwnEYjE2B+EkdLqus+fvpBUOKTweDyMzTrKySP8zSZLY9S6VSvD7/Sw7vQgfsUgkglarhWazOVYEwrlGUqXVeSEejyOTyaBQKBx5NpFaiVBMSzRpYm3Rcv10XXESgcPI5zxARVBOStFyuE1UkiS2F48bZZgG9FyNU8OkGKdKSVspM5nMoc+PZVrIPSxB+NEXMDpAotUFbxhQNBWdUAhcfEyVlAOgW6zrIZ1Oo9PpDMQa1Od0ludXEciIRbpB9vmATAjcC0skYTrvihxAzt/Dhw9Rq9UGzjMVhaHPfrfbRb1eZ10jHo8H/Z/+GMFcBh6zu89C9+Br1NAXJKjtyL4qGsi9TuMgTdMG5tSnGckZtzc5Cy3jQJNk9XodlmUNrPV0PtK2bUbk6LNJRdwoUqkUXC4X7ty5M/H4hvGMzH3F4Xa7sbGxweZAaBaDZgQEQUAikWAE5VexMjcOPp8PPp+PmQq3Wi1YlsUy8rO2rw6DVmuA/cqfJEnsIXduoFtbWywT7Xa7EY1GRwQweJ6HLMvw+/3Y3NxEr9dj17rT6TDVxEDSh/A/fAOaZiD/Z5+iXYpBKTXheVLG3R89QOwyqUjQShEl/5VKBb1eD+/8+K9w7do1/INry3i7CfzzT0jV65O9FsorcVI5AwjBG4ZbAl5dIZ40xS5wfoYuHf8eqaOVOiepS/kG5/GcEHnicaebpNWz3gf+3W0in/zSEskyAmSxPHXq1ICi1w9Oaehf7KF7z416U8ZHv/G7+MFzpyDLswVVgiCwlqSTbpdyuVy4ePEi8vk827Rp1bZWqyEajULTNEiSxO6RSqUyoISoqirbSMYRq0QigUKhAFEU4XK5jh1kBoNBdjy1Wg26rh9YrWw0GpAkaa4zTOMQj8dZBZASOtpqdhIVwYNA5x9pgBGPxxc+2xyPx1kwSO+tpaWlhewXHMchGAyi0WigUqkMVJWdQiIul+vIgjqTQL/fUUmVswpEKyPTIhgMolarsVnqRWCYeB7VauAooPYEnU5nrmTOKYAG7MvxzyMJQe+HcZWRcQbfob3ODvo6juMmVlVM3YaW0fHwxx/Dn6vC22xANjWUz12AbZpQHm+Bn9BCCRuARsRzJqlaWpbFlJIFQZjO63OvqybuAV5eJrPySe/RbISmAfX4e/LkCZrNJhONAci96SR39Hu2221IkoS7d++CP3sajciXCHer4MedZxsIpFKILIcYoR8m9oIgIB6PjyREJ4HeV06rrGHQVmX6Wbu7uyNETxAEBINBJs7T7/fHeg1Go1G2nyuKMrZt8yD8akf8v0SghsCBQACWZaFWq6HVasE0TbbQOIOyX8XK3DhwHIdoNIpoNArDMFAqlaCq6sztq8OgbVPAfuWPgmZnnItJtVplEu6iKGJzc3OAaJbLZdy4QUQ58vk8IW57Ztj0OJ3XVJZFrP/OywCA7f/LuwgVSjCqDXQ/9cHtttB65RTW94amKehCcu/ePQQCAfCqjm7fgyWvjFyHfPdbe/vFmUOcH2wQW4IZ1ZoBkI3kO5ukUkdJ3aMa6eOfZK8AELLnFknLZ0MF/uBz4K/ThCA+nxrftulyuXD9uVV8aTXwfusUCvDin3/C4a1N4NfWjnb8i4Db7UY8HgfHcSgWiwPXkSojOjPs3W6XkbdQKMTucQATK9GapkFRlLnNa3k8HmYG3m63oev6WJXKfr8PWZZhGMZCyEwymWRiGvQc0XnHRYMKxwAke/s01IupqTlAqpfH6VSYFaFQiM3oUZ8vJ/Hw+XxzUTYdB0okm83mTG3RpVKJEd+jiIX4/X5mr7AIMletVkdaABdpE0Cfq3nNKA6TOIAE2iedjHHOclFMsp0YR+bocWs5A6GfPYaoalDDQXhqBYADBFgIZbZgAnD1uhhX67E4DrxqjIiorK+vo9lsotFogOd5FAoF3L59G7FYDC+//PKh3+0by8Cyf7oZ9nnAMAzcvHmTzcyGw+GJpIsmxukz8+DBA1RKXlKQG2pXzl+4DLvTg9DuEMGQrfrIZx+mZDoJ1C/Oee6p2Tit0AEYIPrDRG5zcxPdbhemabIuKWesSNWhaexZqVSYQfms+IqGMs9wEHieH0tQnNkN6tv0NA22v2oQRZGJHUxqX532wfd4PCOEjGJra2tg015fX2ftGc4A0kk0t7a2UCgU8JOf/ATNZpMF4tREuNfrTcyec7DRCQRhRwKIPX4MgxNg1k1kP0ij//wq5CURp8+cYkFTsVjExx9/jFJTxW75OZxaTeD1VQWaCXxZIu2MjxxJIdsezdjpJiFznmPkDLwy8O1N4BsrwCe7wE/SROwEmGxpQFsw14OkcrjTBP7lp0Qg5e1TwHPxfaNxijNnzhCriKwbrWYMPQP4H78kRPLXzwBXE5MN158WOI5Du91mKldO2LbNNgiABKnO55/6NNJNkra1OGezqAx0t9s90rzfJMiyjJWVFUZYstkslpeXBxIl+XwesiwvbFYMIG0r1O8HWHxVjsK5keu6jq2trRMTHZkEJ4GmnoeLqhByHMdmSsrlMkKhEKuU0iDvpECJZK1Wm+qeH57fO6p0P92DJwlYzAvDAifJZBK6rqNarUJV1YUleOelaDmpEpdOpw997+O0tDrJO7Bv8D3NtR9n+QCRg6Dp0FZS4CUR2NPliD+8BwAwIQ9Um2zDBFdvQm63YQoibId3KJ2X1nUdnU4HwWAQXq8X1Wp1RPXxIHAcUYQ+aTQaDezu7mJ7exuNRgOGYQzEWxRU3AsgCSZalaLth2a6imQ+jU4ogm4sgeT92wAAu69CqjdhSgLUvgppb1bE7/cfex6azrHxPI94PD5A4nu9HjiOG7GgoG3MdO+lSUSv18uIniAII560TjgVr6e9nsAzMvdLDydB6ff7TIrV2UZzlMrT1x3O9tVms8kWj1KphFKpxFrADtsAhwkZhfMhV1UVwWAQxWLxwKBpXOndmfUZR8wt3QBvmIhX8qhG/JBgQDE0WIYb4k4dUqWDyoU1bAlbA3OY5XIZljuKZH4HG7/4c5gXLwKvfxMvpMg83KMaUOmSCtwHWTL3diG6n8XT92SL3XNYQTwS8M0N0u7x/g7w1ztApgHsNMbP1FHIAnA6TOb47lWIYua1JPAPrg1W3GRZxvnz5/FBD3D1iBm65gHSTeC/u0le8+ungc3Q8b/LvEBVbSfNcPR6PfY7WZYHMp3DlWL691tbW0ztstvtMnP7ea8LVOmS2ig459VoZZq2iS4SoVCIBUPpdPpIvmXHBd2cNzY2sLOzw+YqFknoaCBFW512dnYWei4omXPuUYtoA3Se38N83zRNY9VLQRCwuro6l+tzEnNztIWNCn45bRLonkGFtX4Z0Gq1BtYvmvg57P50VkVM05yJeDuJNr0nfT4fqx4fBvo3wxWV9fV1pJsF2DyP5IM7I0nRysZpeLcysDgeVqcHsVqHaBjQ/D40rp2FueaGHONY4pgil8vB4/EgGAyi2Wyi3W7jzTffnGti7rjo9/v45JNPkM3solNQYWV74FsaxJdDEN08RFFEPB5nnQGTKnWSJKFjqjB5Af3kEqy+BsMm6t5SpYZuKIDuRhTRaADJ5djcnlM663qQNcEwRFEcmOeke7Su6wcSuGHQ7i6nIudheEbmvkZwuVxso6SD7gAGMiHhcBiBQOAZsdsDneOgRpWVSgWdTmcgy+n1emeqcm5sbAzMNzqlZmeBoiisHx7Y9xhLJpMsEDZ6GjiLLPI00wcO0MJBuPttBFoNdNsRAMGBhaHdbkN7XMPLP00j2iqjVc4h+/o3AZDK1rkIUO3tdzW0VFLJEnlSyTIswO+eb0XLLQHfPw28uUaEUn6yTWbqfIdYGrgl4GwE2G0B2/XJf1fo7JM8WSCtpB0NuLFLzNLf3gR+6/z8vs9xwHEcLl68CMuyUCqVxmb16eZOExDjQGc7aJCxs7ODVCqFVqvF5kpP6vjpfBptG1lfX0epVIJt2zPNHM0LtC2aWpns7OxgZWVlYaSSVlLpXMv6+jqrFtLzs4hOCtqCt7y8jEajgXq9jp2dnbmYRk+LSCTC1sd5+pwdBlrdKJfLEyvDzva6eVULA4EA67iY53d1kk5gXziBYhphj5PAURQtnUq9FNMkGcbNtE1L5sa9dpK43EFwBv/RaJS1y6mqCqNeZ9U1JwqXrsI2yJpgA5CqdXSiIfTPRhC9nMCZtSgKhQKbn3dWaSRJQjgcxvXr15HJZJga9iI7sWzbRqlUgmmaCIfDsCwLkiRha2sLO+kdVLNN1O6Xwd8vIlRtQO71oSkyOlej2Lw06mU5zkCdJnnqn9+FYJrgnuzAEngUU8uQPED/9YtYvZyEJM933aLXc9IcJN2PvV4vDMNgHR907pdi+HmcFk5rlmnxjMx9zUBvHEEQWDbHSSxqtRqrQs1Tsv/rAFpOj8fjzIeEtjMMtE0cAud8o2maKJVKbDOl/kTTbBiSJCEWi7EMPq3WUJIZjUbBmzxg26iHo4jW9wP6YC4LwdChcSIUvY/YysqAyiUAKNUOlF4Xktofu9nwIFLFr68SYnevQkjczTzZfOJHjElsmyhpHUTOvrVBxE0+zJL2ywcVIHjImmjbRGRl3PuqBhFOUYZWPK9MRFzuVYC6Ovq6p4m1tTUkEgn89V//NTKZzMC1c258w5ugU6KbSiQ7kc/n4XK50Ov1TnSGh0o+l0oldLtdpNNpttYselaMqogBhDzQgD2bzR55w50VdA12zoQtLS2xtq5FVwtpyyPHcajVashkMgsjdPQ7er3ehRE5YH92bFz7km3byOVyrMIzreH0NKBkrtFozOX70kCazqUNz95QLKrFcxher5fZqxz2fZ0dRQC5NyzLgqIoBz4L48gfTWIfFgiPm8NzvsesoGqSNOaqVCpM/dLwu2DvXQfN5UYnGoevmIeQzUPQdNRjMaheN9SXUnAvSVgOB+Hz+RAMBmEYBgqFAhRFQTgcRrvdZkRREAS43W5cu3Zt5uM9Dmq1Gu7cuYNOp8OqwdTiRu+aKN8uw7xfgrdQRbjXhyGKMEIBGKEAxFoDbu/4+U26Pm9ubrLqbLVaRbVaBR8Q0YqF0U2FIJ0KY/VqCi7vyc360us5yVKExmOqqo48W+FwGLVaDV6v98j7Cr1/Z7kXn5G5rxno5kPJg5NY0Pkw2s7nbMc66pDo1xV09gcYv/Cn0+mpbA4EQWCVEGfrCFUjpWbRFD6fjy2QTq88nuexsbEBTdOQy+XYhmF0LXhsG5rbi8JSCvF7X4K3LIg6CUhsjgM4DpIkYX19HbZtM4+XylISvYQFs+2BJY5WJzgOoFtpxE1IXUcj1gQ8R0RI/vIRaY8MzzBf/x/uk5bIb20QA/JhSwQKrwy8dQp4aZmQune39s1MLXt0Nk6zgNCEtbOhkteN88XjOKJ2HFmcRsDUUBRlgIhQ0CRMs9lENBpFs9lkQWgoFIJpmpBlGeVymZEI2jqczWahKArztzlpUOuCWq0G27afijgTTcZQ8hoIBCCKIkqlEgqFAktsLeIYhgUU4vE4RFFEo9E48WohJTHO70pV+arV6sIInbNTZNGg8znUTBsYVX+cd5WUnk+awT8OhsnPQaTzaSVqPR4PGo0Gut3uRDI3XBWjs0Q8z2NnZ+dQAkqJHBVDEUUR7XYbnU5nYidDsVgcIPKCIDA1VzrfdJRWWPqa4RZBRVEgSyZsDrDBQRNkSKUqmrIfnVAA/TMxSOsKJB8HN4BAwI9Lly4hFovhZz/7GWq1GvOqBUjVmPqX0Y6rRYrb3L17F/fv30en0xm5lzmOQ/eBisjP7oO3LPR9PqiJKDieJ4nhdhc2x4EXD05WlctlFvdQuFdEmL+9gUtnT0141XwxjszZts3INAW9z5yFEZpgOcoaTqu7dA2epYjwjMx9zUAXoXE+GDQTGwqFRowvaavWuGHPryrojX/S8Hq98Hq9I15xdCOibZgHgV6XSCQCn8/H2jlVVR2wKYhGo3C5XCNGlLT6Issym/WrVCqotlvQXQq8tTrMdhucaQEcaeFQqmUopSq6wcDA+1DZ796TXTz5/nV0tBgKUhje7QZOJzzwuyUmeiIO7WlemZA63STWBP/mNvDONvDqMrEcWJqi0POkTjzuHtWA0yHg2xvA9dRkUhfYMx9/IQX8/mdAqQvcLQNxLzE4pfuuZk4mZA0VMC3yX688SgQ5DvAvXtxwKiQSCfY8U9NjSZJgGAZcLher2FKUy2VEIhHEYjHIsszEd6h8Nb2XFxlIU3l2gMwPtNvthc7w0OfJ+Z09Hg9SqRTy+Tyq1SoMwzgx2wmaaZ1EEMLhMERRRKVSQTabnWtVyAlK7Ie/J229r1QqyGQyJ95+Su/np2GhE4vFmOfcxsbGQIXnJGwR5gXLslAoFFgQ7fV6EYtNPyM0qxfZcUCFvjqdzog66XBrqJOMUXAcN0LIxvnLpVKpgeodfQ86mgCMFyWhasHO83ESBu9LS0vI9krgAHQkD7qKB3ZMgn4qCP65GDycxfZ2l8uFRCKBU6dOwbIsuN1uJgCSz+fh9Xqh6zoikQgSiQRWVlYOjTvmCSpkMqzwSWHbNmzLhmBY0DZXMbKd2zZsjoM0ROZs2x7QC3ASOdqCvbW1BX44GDlBOJ+VYXN6CuqPN86LDjja2kZVUY/y2mdk7lcUHMchEokgEonAsixUq1W02222YQAYGVD9qoG2YywKzod2dXUVxWIRmqah2+0OyDCPy+w5NwpnO+dwltU5QE2zPdvb22PfLxaLIRaLoZ6IYfdGBq4HFXCWDV+nCbvWQD8UgdXqQ/WNZzhuTsMleQeWp4x0P4h0cxUPsQavL4i4hxCeYdJDIQlESGTJR8jVnzwg4iUvpoDXVomYyKQYQzWAhAeIeoDtBlGjPBXeI3XJ0VZIdj48wP/+daDcJXYGP98B7laAlJdU5DgQ4jcOq37gb5wH3tki83FJHxB2kWO0bfIz6bVPG1euXMHFixfZvRYKhSBJEt555x3WgkuxtraGnZ0d9Hq9gUwzRTqdBs/zcLlcCx2WH35OK5XKiZInJ5zffziYVRQFKysryGazaDab0HX9ROb5KJE9SHbf7/dDEAQUi0XkcrkTmSU7KNDw+/3gOA7lcpmpkD4N+4aTBv3uNCFGxaqOMis1C2gLIE3IzILhfWKWa0OTnoZhLOx6jiNGw2qbwHQKocNdLRTUKNwJNktuGGNNvinGzUvS9zoqmRv3uq2tLZimDfX8MuqKAGndBTksAraNlZUlZg/T7XaxsrKCc+fOsWv03e9+F5999hnu3r0LwzDQ6XTg8XgQCATw6quvLqzqqqoqHj9+jFwuN3APOkFb1W/fvgMb488ft5ch5kRubJWLYlKX2CLnASmZsyxrgMj5/X6Ew+EDj4UmIRbdgfKMzD0DeJ5nxMA0TVQqFXS7XRiGwapPsiwjHo9/pfzrBEGArusnohB2GERRZOqQtA2T4zhwHId0Os38SA47Xy6XC5ubmyPtGQAJeG3bhiiKLHs37nuGEn6EfnAJ2ls6dv/iC2hpH/iGCmU7A960xs7DAfubPG/0sCn2sMGVIIUN9GPP43ZpcqVs4D04Yjaa8AC1PvDuNvDhLhEs+Z0LZB5tmBD2DYDf86g7HSbkbmeP1C37yb/97ecmf37MA/zuReC1FdJ6+XGOiJtY9mRLA7dEqnvXk8CPt4BfZIFiB1gLkuqjJHx1K3PcXpss/VFVlSlCDpMkqtLX6/VG5oKo6ISiKOj1ejPPZvWaOmqfFhG4GIUvMdssgJPMuFwuZDIZNBqNEyNPTtCWvknEURRFrK2tIZ1Oo9/vj7VTOC5otvkwcubxeLC0tIRcLodisThXlUd6rxwUiNBWoVKphN3d3RMhdM7K0tOC3+9Hq9ViRG4RQjjBYBCdTgeNRgOJRGKq1zjb4ilmVT51uVzodrvQdf2pkPNxJO6w802/3/C+uL6+zrpaTNMcuZfp/3f6yAIkMer3+8fus8OfedQEMd2rhyuKgsTB92oIPp8Pfr8fqqpClmVcuHABS0tLEAQB/X5/ZG3gOA4XLlxghvNutxvhcBhXr1498XjHsixkMhk8evQI/X4f7XYb3W53gLCOTTaZNjhMODaLxCK1WgUtddAQOxKJsGTSMOj5XMRcMwVVebYsC16vF5FIZOr9kibMjrKeHKcq/IzMPcMABEFgG42u6yiXy1BVFZqmsQXZ7XYjGo0+lRYZJ+jDddSy9FEwrrWTtmE6K5yUCFuWhWAwyDKxhz2sm5ubA1lY57zTYZAVCZu//SIJAB5XkP8sD2+6Ai5IFKaGM8/D30PkgRWphudP1fH90yH8y0+B9jgn0zHgONLiGHYRgZTdFpBpApfiwDfXgediRPnSsslsm+BYsxWRVOZUA7iRJ6/Lt/crddKENXTJD/zdK8Dra6Ti9qBy+Nxb3Av8neeIaepfPAK+KJL2zKBCxFO+yjAMA++++y50Xcc3vvEN8DyPSCQCVVWZ95yzfYmqqlHQudler3ekQLpxuwrPj2+geScB67evIrA8fdWIBs1er5cpOabTafR6vRMhT07QFp6DKpF0JpVWwedpFzBrcOisFlarVaYWd1zQ8xCJRA78O3pvUEI375ZPSq5P2opgHKiAlHMdXpQtxKxm2uOUFoHZ5+BkWWZkbpGge6WTyE2bHHCqQzrhFCPTdX1gXxx3viaZfA9DVVWWcJlVRRAA+oIfiaAbYT/x7qQz9oIgwDRNBAIBnD9/HpcuXUK324Xb7R4gopOSPG63G2+99Raryi3iPu31enj//ffRarVGxGToTD/HcWOPmTPt0cpcuwtfdheCaaLu6EyY1KY4DJrIeBpkzufzHdhNMQ70OTtKJdGZsKfiN9PiGZn7GkKWZWiaduyKlSRJzMPOqe7Y6/XYnBfNWjwN0IdlkWSOVjXG+RQ5K5yqqqJQKDBjSRrMjmv5GAat1g3PNU6bteE4DqkzMaTOxPD40RN49pgTFV2h/jl0o6EwTRO5XA69Xg8vv/wyeDsKHhyIruV04DhSUVNNonZ5qwjcLhGrg29tkP9aQ2SOgrZX1vrAVh14VAXORoG3NokdwjiVSo4jLZ3/+DqZh5skgDL8mtNh4H/5Ipnd+5MH5HgfVAkZ/aoZiANkc/nRj37EAhnDMPCtb32LVZIKhcJIy6XP54NlWawqtrW1BUEQ2H06C2zLhnEvB0sQ4c6X0fmfP4P121cRWj+8LY3eY7RyDZwseXKCbsrTrIXUTiGTyTB/vHkIYdCEzCwVSEmSWMssNds9bgWTriPTEHlKumnL5zwJHSUzi2zfH57TojiusfBJYFipks7GDXuYTQu6Ty2KzNm2jXw+P7AWzVrhpaIftPuGwpmcovvhOFVLYN+r6yBQYabh458GpmEi+949iF/mwXN+3PzBd/F/+Jsv4p133mFVOKddwblz58Bx3JESaYusYjcaDbRaLbZe0DiQCoK02+3J8ZZhgbMBu6fCs5uDPCSSYgsC1s+sQVamr1o9LTLH8/yR4sqjJAMo6L1HK8izCCY9I3NfQ7hcLmiaBlVV5/YAONUd+/0+8xcZlu1f5JC1szK3KFAyp6rqgS1TiqIw9UhqSs7zPPr9Pra3t+F2uxGLxQ48V3SuUdO0I0tL83usaX19HeVyGd1ud0AlEyCbnmVZSKfT0DQNtVoNtz65gdV/dRu65Eb37/99wDe7hL1HIuStq5Oq2f0KmbEzbUzoqt/H6TBpx3xcJV5zF6PAdzaBy/HxZIvjpiNyTgg88OISqcz9i5vAH3wOfF4AfuPM9AbijT4hnydtOE49qnieh9frZS28iqLg7t27KJfLI0HI9vY2u78ocTdNkxl3z4JWvgclX4YWCsByKXDnCuj//z5F9beuIXLm4AoLFS0YnlM5KfLkxDSzasPHtLa2xoJDqi55nGQRfdZmDcio+Xo6nWbel7S1+ziYlrx4PB7my5bL5RZm4TBPjKvWLC8vo1wuQ9O0hbd6UiXN4aoSxXBLopMEKYoCVVVn3mPpPnnSXnNUyIJWXilSqdTM7Z00+ZJKpQbaJZ2o1+sDKtNUSMUpKDYJzllJgLRaK4qCTqdz6LntNLrI/fQhlEcVKI0O/O0WXK4WQn/xZ8B/8SLeeOMN1Ov1AXGSRdmNzAqqcH7z5k3wPI+rV6/i1q1bUFV17PNOCfq49dA0TSj5Jty9LtxPtti/q24PeitJyM0OeL93JiIH7N+3ixzxOeh7zhuTnhue56duxwaekbmvJZz2BCex+bpcLqytrQEAaymggSQ1TZy2hH4cPC0yB2Bsj/s4OE3JDcNAqVSCpmno9/vMO+ywQJNmxI7TT+1cGOhAuXMuwZn113UdtUIZSq8HV7OJnqbCxvRkjl5xerQeCTgTIeTsbpmQOc0kqpbPHyB44hLJ63o68YG7XyXtkf/o+oxf/rDj5cgM37IfuJkjxPPX1oHvbh7ubfcHn5Pv8c114LunTq5VU1EUVmn73ve+N/BcraysoNFoIBQKoVgsDmSy6aa0traGWq2GRqPBWi1nUaxtPazB2+tBi4bB8Ry6yym4c0Xof3QT5R8+j9jFyS2MdHZv3FpEyRNtK6bm1fMKflqt1pGy4clkEtVqlbWuHiUgBY4+f0PhrGBqmsYI76zrKg2IZj0PbrebEbp8Pn9sQkeTUiddlRsWDAEG57Roh8Sig+xgMIh+v88sRSioGAsl/uN841wuF1RVhaqqMz27dH80TfPE5suH7XsikQhM02TrzVFBq0Pj4JxNGla1HAfns+gkcgARYqEJnEnHm39URu3mLnxPSog0mvD0OxBggeds8D0TbZDrKcvyTEH408SNGzdYssjlcuH+/ftoNptQVXUseaLPLz3Xw91D3N45NiQJ7ZUlcB5yn3IAOLMFyz37c08/c5EVdDpfelLrgzPJPwxJktjYwTNrgl9x0M12Hp42h8Hj8WBjY2NksLjZbLIHPBQKMS+jeeJpkrmjnFtRFLG0tMTmm6gVRLVaZa1ghmGMZINopnBeyp1+vx9+v38g4Bm2QtBtG9zeeY3/f34P5b/xt2Btnp7pc4b3RJdIKlh39j7KssmMHEBsB1wTViO3BJyNEOXL2qjX77Gh7hU9vRIRbKn2gD9/CHxRAL53CvjGymQxlqZG5gr/5AH5Xj88C1xLTlYBPSro7ATP8yPP0erqKlZWVtDr9fDBBx+wuc2B42w2B6q7xWIRsVhsquDeMi3gfg6mooDb+2Icz6G3lICrUIL5xzdQMp5H/MroXBcNmg/LqqZSKVQqFTZDd1Ty5IRpmuxcHWXtiUQiaDabEASBedHNqi5J59RmbWt1glYw0+k0s0eZtSWVtnoeZfbO7XYzC4d8Pj/1HNI40D3hpJRUh2XEOY47dmV1nqB7c6vVYmTOMIyBatKkllbn3jPN+aftjicZB9TzbZTKRUg+skc57RLovX8cdUjDMFgyg46PODFNJd8wDOzu7g7snzQmoa2rzvjFGU/Yto1MJgPTNKH/KI+Vx2kohgoBFlSvD7ogwBJFlANJ8N//9pG+59NArVbDp59+ina7zSpCPM+j3W6zczzuvNJz0+v1xorJiF43etEYtGR0RAaFNw3A+8tR2dc0DaIoznXdOEjBMxKJMKXbVCp1pP3qq7HCPcNcsai2CicoGdnY2ACAgZu2Xq+zhT0cDjNPo+PiaZA5usAdZ4OklYJh0RSe59lwvvM80crcvG0Y6GyeZVkolUoD6odquwup30OsUoRdEeD5g/8WvVAEtde+CfWlV8AdtIHuXdpxWzi96qt+YjT+xV7cdXO84vHIa08iOac6bh+OIxYIIRcRcfn9z4GfbAP/i+dIy6jz8w0L6GpA1E2+S7oB/L9vEr+9H5whYivzxEFZQjqQ/tZbb+Gjjz5CJpMZyGo7vYGWl5eRy+VQqVTYcP5BaGZ6UEpVaIHB+TiO59BPxuHbyaLbGL/W0Gz9NJlqan7ebDZRKBQQi8WO5XdJ2+ts2x4743oY6PpJ5+4qlQp0XZ+JiMwyp3YQKKHb3d0dqNBN2253XF83l8vFVDYLhcKRbRPo+Zi3j+lwZYgmzsZdc0oungbBG973qtUqOyeKohwYyDm7Qg7DJG+sec2Xd5sqtn/yCL47u5AkEdzvnsba+upY37ajgnat1Ot18DwPt9s9QOYikciB9/8kARmAJBOGE5gUdE5vWIFTafegGCpEzoKuKOjE4qhdeR56MoXbay/hjU0BqqqiWq0imUwuVEr/MFDD9Fqthkgkgi+++ALZbHYgpmi32wN7xvD1q+w2UPgiBxg2XBddbISDWijBBvK9XVgTTME50wI8X1HJ6CHQcYTjVuZs20an0xl7rw0XOegefdTPfEbmvsaYp/nlYfD5fGi1WmxOj1Z/bNtGq9ViN2qtVmOl5YPkaKfB0yBz88awaEo+n2dZzVqtBkEQmDH0SXnq8TyPZDI5UPo3ZBkCL8ACB1HTESjm4SsX4S0X0P3Zu7AFEbrHh/r3fxPW2jp7L9s00dHIdfkkR3znBtooHUTPt2dA3tGAz4fijr4xvlI3TjjluOjro1VEgSe2BZ/miUhKqUuO9funCXEDSPunbpHvJ/Jkzq+pAj/dJvOBv36aeO5NUuM8KnSTfN64x4bjOJw7d26gxYwqI1LIsozl5WXs7u6i0WgcqpbYfUJbLEMjvxO6PWheL7xnR38HzC7THAgEIIoiqtUqKpUKgsEg/P7Z5zUBkpGna8vOzs7MIgw0GF5ZWYFt29jd3UWz2YSmaVOJkTjX33l1JSwvL6NUKqHT6SCdTmNtbW3q9rLjBpeKogzYJhzHB29e52PYg0yWZaRSqQO/KxUWWaRpvROSJEHX9YHKxjTtq/Q6H5RIpLPPFMFgEOFwmH3WcfcQXTOx/fM0xJtpxCt1AIARDiG+ujrxnB8lDqHJYafoS6PRwMbGxsTgeBhOIkernVtbW0xwaRLGiakQL1IbHIBuIITm8irKv/ufwlpeJb+vkO6NDz/8EMViEefOnUM8Hj9ylWVe0HUdd+7cQbFYRKfTQbvdRiAQQKfTGbkXxt0b7WoX2c93ga06fLkqUp0Oej4f+KvXkFobbAPWVROCpsOWJtAKDuCPSOYWTYx5nodhGMf63HGVy2AwiFAodCL3xDMy9wxzASVz7XZ7YFPiOA6BQIDJojcaDValq1arjOTRlq9ZbvKvA5lzQlEUbGxsDAzEUpEZgAxtu93umc/RtOfHOd/XaXewfbUP6y4Pd70Nf7cJ0bTgq1bgrVbR9/khan1wtoXK3/vPYUsy3D/9ESI3P0IveRGPLr2KdmIVt+9VEMk8Qur6aSip2P48nWN/9+6Ruq5OiBOwX6lztl/ueY7OHV1jMkk0LEI8/TLwl4+B22VC0r6xDPQM8nufY70PKMDFGKnq/ds7ZIbu+dT8jjXdAH7vM+CVZeDXz4xv5wyFiKeR09aCCi9QERJJkrC6uopMJoNutwvTNCe2Agaei6HxcAXeTA7dpQTgIGZys4XuxjJi8dFAlFZ6Zw34PR4PM89utVrQdX1mxVxN08BxHERRhN/vR7Vaxe7u7kwEZHgIfnV1FTs7O2zedWVl5cBnka5zztmoeSAej0MURTQaDSbQchBZpm1U81AdVhSFJQKKxeJEg99xoOdzHnMowyqELpcLiURiquCLtiA/DTJnWdbATKtzPmZaTCJH5XJ5oL3aSfQpOToqmbNMC5nPC9B+sYVgrgRTENBfSUHq9Yl6oTV6TOOMww8DncFyvoZ6AgIkZqD/e3hfazabAx0IgiBgaWlpYiVy2Lpl+Nidx8CLEqC40YjE0T21ierv/G0gstcma5EZcFkgs7a0IvjkyRN861vfmoutyCygtkiyLCOdTmNnZ2eg4jbpO9Nk16P7T6AVDNz9+afw7ZQRaXdhcxx0vxd9jweGJGJ9NTFyz2pdA5xhwHI79gLDgNjsQOp0YUkiuEkD8gd8F2CxSpYAIXOzxpW9Xm+gO4BiGqPxeXQLPCNzzzAX0Ix3u92eGBRyHIdQKIRQKDSi4ENl8wFMHSDQxeTrQuYoOI5DOBxGOBweaPcwTRPb29sQBAHJZHKqKgMlc7MOvnt9Xniec8M4s4H6ox76D8qQGl0EWg1Itg53qwlTFCC3m1j9Z/8UmscLd7UMb62C57d3EMlsIfO/+a8R/5/+DVYz91H7OIkHl18D/+qLAAJjWzA9Y+LRm3lCWJ5PElJ1Evm5vkG876o9Yk3gPE36XuwTdhOittsioic380RZU7dGLRN4joipPKxOZ7w+C+5XgK0aUGiT8/EbEwgdsK9+58wQOtvbBEFg8vccx7F5qOH7xJdwQfhPrqL670V4t3bQTcYBRYZtWuBME+LFJTZL5wStbB2FzOi6zu5bOts57tgmgW6q8XgcsixDkiQUCgUUi0W2Bh0EmkBxBvyCILD5HUEQDp1do2vbSZCGcDgMQRBQrVaRzWYPtA6gxzEv5UZnZZeKX03zHSnROOq83DjVN4/Hg3g8PtPaRpMMi2yzpAG2c6+ilc55vLdz5o5W45yQJAmaph2JzOUel9B8L43gdh4u00IvFoXgcYHnOKCvArYNe8zbzkpQy+XyiOADHdugBM4pXCJJ0lhTdQoq0jYOm5ubME0TrVYLHo+HJV6AfVJD101RFGEJMj5863eQ8LnhO7cBjufR04F8B9AMst4nvMD51fM4e/YsPvvsM1iWdeTK9TCazSYePnyIQCCAM2fOTDy3/X4fP/3pT9FsNiGKIuuMOgherxdqX0P+XgXt+2X4npTgb3fAmxZUnwfaSgqcJBKTomweutc1dr03OiZ4w4TBcxDqTUjtLsABmt+HzksX4DobR2xztrXwadgSAITMTWMj5VR2d0KWZSSTyakTV/PoFnhG5r6mEEURhmGcmHrVMGb9DCdhoV5YdNEplUoolUrgOA6JROLQ+YpFk7lZql3HhSRJLICkME2TeSYdJi4jiiLbxI+SEecVAad/8woM3cD2ZznoHzyC0FThb9ShGBoiTx5CME1oLhcsUYKo67BtAZFKHoH/9v8Mzq0gqDbgznXhb1bxZa8NvPGb6BsH0zJn+6VTKOXcCVga/s3zRPzk5xmg2AHWg+OJJW297Olk1u9xjWRkxyWeDYv8/YyJyANh2aRyGVBINfOP75N/++HZQULHcRzefPNNvP/++ygWi2xDHHf9aQaaqndls9mxFSd3WEHsP7mM0n8Q4bv/BL1YFLxhQPd6ETgTGj1W04LaMMHL3JHuO5rYWVlZQSaTgSRJSKfTUys50uoHTXi43W7Wblqv16Gq6ohVghOUDA5Xs+jsWjabZYRu3OzaSbRYDoO2pFIvuMOqjvM8DmpVk81mmS3GYe2wRyW3tm0PVGToe0Sj0a+cR9wwaDJu3HEe1zcQGJXYB8YrhVLxkFn2LVph6j7oI/lwB91wCHzQD9HxXWyOA29bsM3J1beDKnPDaoiiKILjOPb8UvERimAwCJ7nUavVBhLAwKAf30FE3bZtRtR4nh8gcgCpqNPgWhRFpFIptHQeQuAMTK+Cmkra7iWeCHq9tgpcS+wrGfM8jxdeeGHi588C0zTxk5/8hLVIBoNBbGxsoKZJeFAFzvq7gNpCJBJBu93GjRs3Bo5/GJIkwe12o9lswrZsaA0b6u0qpCdleKsNeDUNrl6PjHpcOj8gYmLbNgTDgOUfjcdMw0L7bglu04SrXCME7spZuM7HETnlh+w92kb4tMjcQffsJALn8XiYf++soM/wMzL3DCNQFAWGYbAg7asMnucRjUYRjUYHBEFo1g0ggWg8Hh/7UC9yNhAg57bb7Y5VnjwJOAOBzc1N6LqOfD4P0zSZuAzddIaPhy4shmEcq71JlESceXkN1ouryD4oo/VXX6DRsuBv1uEyepB7fYAjCy8HwNdtQn5Sgeb3geMAFzTIvQpO378BdX0D7YtX8bAKrPiJWuU40PbLtrYvlFLuklm868nxJuKTYFiE8IyrYoXdRODkpSXgzx8Ro3OBB9Ym6IK4JeB8hKhXBl1EZTOoACnfflXPtACRA5Q5VuZyLSDbBCJuEjhwAP70ASF0v3Vu8LvxPA9d16EoCtsQx1VoaYAdCoVQq9XgcrkmVpwUv4Tk37qEwp9I8N16AN400bxyHp7I6PpS3K7C/WePoYZ8qPjDiK6Epv6ezueZeq1RNbtphD96e8HI8FohSRLzbev1ehNl/gfaq8Z8DsdxWF1dZaJB6XR6pNVxnq2NB8Hj8TClyWKxiGg0OkCq6LWfV4XACUmSGKGrVCqwbftAMR0a/Ew7hzKuWuP3+49l9E2v7UmTQFpN5nmeGUfTuThnxWdW0ETisAl6KpWCrutM1MgJqqIHkArAYaR7eO4OACyehxCacG1t+0htlsNElIqCOVslh79LMBgcOTaKWCzGWgjHXd9hguP1eiEIAtvLx/0dz/NwuVy48srreP8DATtNInj1xhpptT8bmW0fOgy2bTPdgVarhU8//RSNRgOGYSAUS4GLX8If3BJxtwykS01cF+7iopxlBL7X600kcgBJjuUzRXQfqJC2GwgUa5B6fRiyBD0YgOGW4XnwBJprlLBZlgXOtiGGSYXfMi00s110HtbA38vCVW1ADQfBv3kBwTMBuPzH94V7Gh5ztB3Z+XyqqopSqTTi9+vxeBCJRI4dB9Lv+azN8hlG4HK5mNTposicx+NBt9udaIg6DZyCIKZpolqtotPpwDRNJuogiiLi8fiJexVNAiVzqqo+FUU0SZKwtrY20HbkbLVxCsvMe66Q5zmsXYgDF95GMdtE/99/iGY3Am+9AW+/AwEmqI6lDcDV3t+sedtCslNA5dEtPP/rV1HqkrZBgLSpjKuGAftCKT/PkJm1Uhe4EAXe2gSem2Ai7oRmAv/8EzJ79/1TJJs6LpY7FQb+qxdJC+VfPCZ+c5PAcYRUuUTgN8+Sebp7FUIAvTLx0hP48W2WhgV8WSTkLzlDIu5hjRDb1b2YKuohx/FnDwDYwG+e2z8XW1tbbIbViWGiRrPSdK51Z2cHLpeLiWsMB96SS0Dqt88irwhQ7qQhnR+vUlm9U0Ki3YGn3Ubz3+no/+ACVib87TAoEaKtYrQaVigUIIrioUbexWIRtm2Pbfd2+rZRgYVhckgDzMPaAePxOJsBpnYKlEDS83pU8ZZZ4HK5BkiVYRjs3NG5spOa23HOXlarVdi2Pfa8zTo3VSwWB9R152VvQ4Omk5qXoyqSgiAwEjer8M5BoHsPJXJOPzraQulc64fnyA7bl53K05SIHkS+OcsCbBtjuNzEazUsWkPR7XYP9dUaR+QSiQSKxeJYURM6p9/v91nVz7ZtuN1u1oZJhY0ootEo2u023G43TNNEIpFA0C3gxSUg5iYz0LOs27Pgo48+QqlUgsfjgaZpKBVL6GT7qEXOoRf7JkpZHmKjgvXtW4g9eAzrmg+NEDlnw3N+ANgMPj1vW1tb6GcMRD94BM40ofn9sBJRcDwPHoDQIu+lj0n+0PtKNIDd93Zh39uFUqrCq2rQ3S4IugYzGcbS8/ObEX4aHnOWZbHzmM1mB2ZcAfLMRaPRr4zdCcVX62h+xTHM+o8DGlT0+/2FBBQA2SC73S7a7fZcggdajYvH4zAMg/lQ0fmDpwWn38+85lCmhWVZbHN1tqpqmoZcLsdakqrVKmRZZsc3z3uLIrESAP6330Oz3kPrj26gXdbgbrTg6VACwaGRTIE3Taj+ANzVCiS1D0NScDEG/J0kcLtE1B/vVoDDxjl4jlShVvz7JuKX48Dbm8QfbtJ6b9lAvgVkWsC9MvDqCiGC46wDBB54eRm4FAPeSwPvbgHpJtBSRw3BLZsoVb59ivz9nz4g7aAST/52UptlugH8/mckIPjHzwPJKW4h2wY+LxDy6PyeETc5jr96QsjolT2+tLOzMzFDSwmdE3SzpAbeiqIwkY/hiq4oC1j+4Wm0X1qBLzGaUDENE8p2DYYowkzF4c/m0fnjL/Hk2ypOvTR5joXCSTCdx5dKpVhyh5Kn4YSObdtsI55UieY4DpubmygUCqyytrq6yjZnGvweNlcHEMInSRKKxSLy+fy+TLfjsxYBmuDZ2dlhyZ14PM6UD08ysy2KIiN0lDwOEzpKzA6q3FmWhUKhMKDWGA6H5+pJR5Mb89wT6VwSVR+m993y8vLcAr5xBHeYJNLPMgxjZI6OCiBNItXtdhvlcpndJ6lUinVzdOwuuKHX2boOV6kGDja6p1YhSJPvc/qZTqLoBMdx8Pl84HmeVR6pkJrf7x8xfwfAiDKAAdEJt9uNXq8Hl8uFYrHI1sClpSUsLS2x+br19XWcO3cOtVoNmUyGESGv1wufz4dUKoVut4uVlRVsbGxAkoC/d3XiV5wbaPuoz+cDryrg/v1jBGttCMEq7p36NtZ9Bjb+1X+HQHYHPUiobF4EQmQNpF0XVKiJvl+z2WQxg23b4PuAbFnora+MzKALHXJ/6Z7BypzQaCGe3YUmK/Dc2YbY68NUZGh+H9Q48R8Vd3LgIouNh+aN4Yo3JbAulwvRaPRE1lH6fBxXsfMZmfsKYXd3F7Va7Vi9txR0YV+EcTgFnW2bF5lzQhRFNuNiGAbK5fLA0PPW1hZcLhdisdiJZ0yOYxx+VNCqp6ZpY1tNZVlmWTg6X6JpGhvibbVah/qJDcO5YR6EQMiNwD98A72uivxf3kbnSQv+ShXo9eDNF9DY3EQvloSrXkNzaQXt1Ap6ug2R53AtSQjZnTLw0zRwp0Tm1joaqXA5IfHEE46aiHc0MkN2t0yMur+5PuoFB5A2GJ4j3nYCD/zVY/K672wAv7Y2+jkA+bcfnAU2gsAHGULSSh0yM0etBmyQVkoAWPITYnYtB/zZQzJPt+Qf32b5eK/C1qkBv/8p8I+eP5zQFbvAdp2Qt2FwANziYFtoMplErVaDpmljxQG2t7dZQOsUKOE4jsnP0xm6cUEpL/AILI2fZc09IPMXRigAXhLRX1uCO1OA/ld3cbet4sK3Jg/wO++3cX8TiUQgyzKq1Sry+fyI8fkswXoymWQBZiaTGSGH0xIxj8fDBEEqlQqrOixaxY62pKbTaXQ6HfbsL4JQiqLIyCRVI3SSYVptHbcG0a4LZwZ8uF10XqCVn3lUymhnRKvVYpU4avMyae+mgdu0QeE4gguMN8umn9lutwcq8hsbG+j1euj3+yOiDsN+apIkMd9R2m5mOvcA04JUrUNUVfSWkhBfPYXly2HwY9oj6H3X6/VGlEeTySSrpNF4x7IsPPfcc9je3ka73YYgCAPklZK+YDDIErvA/jnd3NxEs9lEr9cbmSOUJAnXrl2DaZpQVZW1HYuiiEgkApfLhVA4gkg4hGazySpZly5dWliLn2maTOdAEAS4lQg6HRPwe6G/cBXLfiD1f/9v4CvkIHe7aAeikDkdwP6atb6+zggsx3FotVqsaktnarP3tjHi6L0HuUdea7kVCJ0e/Nld8HvX3wIgayrMdgetjVUmgsLeigPE4C+HKbgTqqqiXC6PVOAAHKoUPA/Q+/i4690zMvcVAl2Mu90ueyC9Xi8ikcjMxI4upCdRkTnsM09aHITOhwGDXh5UMhw4+nmbBvR7Lpoo09bOg4aBOY5j84d0bgMA8zWiQ+LTBHiyLKPf7w9UAw88Ro+CU7/zAtq1Lur/z7+Gq9eDARFStgQTLqheH8LpLawKv8AnGyYu/+ZzCIVCEHhSUXouDvzoCSF0D6qA0SJVOEq2JIGQOWpR4JVJu2Vrz9vtVhE4Ewb+1iXStkkhcOTvbZuQoZALKHSIdcCHu8D3ThM/vHF+cJfiwIUY8GIB+POHpNUx4iLKZbYNOP1RBR74xgpwLgr8xSPSTjncZmnbpMXSJRHy9aBCqnT/+Dp5z0n484dAtU+OfRjVHqkmOvfRS5cusfmc3d1dNi/nxEFD13R2Q5ZlJq4xbVtz814JCVWDmSJkjxcE6GspCLkigu89xO22hks/uDg2AKRE6CCTcZ/PB0mSkM/n2SZMicOsRCoUCkGSJJRKJeTzebZezDrrJssyIzMUsyZP5gFnGykNTk56bo/CqY5ar9dh2za7DnStdCYFqJCTc7+YxergaYHOdfd6PQiCAI7jIEkSYrHYoevktHYdpmkil8sN7N9OKf1xnzOpEu9Ue6TXYVyl76D3sAGItSbkVgv9SBjGN68g/mIckmvy/tqu9dAvmUB8MJmUTCaZcImiKAgEAsxf9caNG+j3+3C73Wi1WgPHEwgEcPHiRdJ+OEYCfpyvl8fjQTAYxMWLFwGQe9R57mVZxvOvv42fb6l4ryLjd+JAbfvPWfJzke19rVaLzeG7XC7c1by48xv/KS5c24CQ3kLqn/1TuCtleFoNmOBgSiKiF9YQSATZd9/e3gbHcazSOM7L1662YQnjQ39p7/6IPHg08O/dYBCWpsHT6aCTjI+qWRombI6fK5k7rMPiOJg0A0cVoAGSHFgE5mWV8ozMfYWwsrICr9fL/Cosy0Kn0xmQyY5EIgs3UPwqIxKJoFqtIhwOs9YK6s1Gz9s0Ph9fddDsUK/Xm7rtyOVyYXNzc2CTo+eF53ksLS0dmHWSJAn9fp8JaUwLb9CNiiSiEY3C02lD7qtwV6rgDA2GySGReYzCDQU3l1S8+OKL7PvwHDHl/u4pUm17d5sQO7MFLAdIZQ4gJMlJvPwKmSN7UCVVvXQDeH0N+Nb6/lyZxJPZOfo5Sz4g7gEyTeBffU7kpb+5gbHgOeB6ipC0n24D72yR4+P5/cqcEyEX8LefG9/2WeoCOy1igSDy5D0fVAmh+8+fB2ITYrxCh1TzPi8CVxNkjhAgLZamDVwe4j4cx+H06dOQJAmGYcCyLGiahnq9jtXV1QH1WMMwRu4DmsH3+/1oNpsolUqIRqOHKsvqmgH3dhW6IoNzPG8cz8NaSUHYycF/t4DHZ9w4dW59ZKOmz+xhwa6iKEzpstFoQFXVAQI4y7Pu9XohSdIAsThKltRZGQNG5xMXBTpjSCsflUoFPp9vIcfhJHSNRoMFlE4YhoFsNjuQXEgmk4feW08blHw6Z5EVRZlJkIWSk0n397hz41QpHTdrNjwXB5BqXC6Xg6ZpLDj1+/3o9/uspdL5/sC+lcg48JYF07bRfvMaoq8swx2YvG90mz08ee8JfHcL8OkGOr9xGmevbbJEh3O2TRRF9Pt9RjYpuXTOsFFiIooiVlZW2HFS8+tJyWNBEBCNRvGd73xnZJ2xbWCnCXyYBT7OAdWuAsMGym19fzZMFE9EOGgSqNootUooZgwEyxL4JReSf/yHiKafgLNtFM9ehFVtwpQFdI0eqluk6ulsFZ0UJ9qWDaHShOWsTJsWhFYHcruNvtcH196YRN/jRW8pAUgiTNNE6MFjcAAslzJS2OM0HZYswRWcnz7DvD3m+v0+yuXyCIFztlAOG9UvAnRNOG4F8BmZ+wrC7XZjfX0dALnQtOXB2T7xVSV2NLNhmuaJZFSGQQ2Ba7UaNjc32VAzHUQHSMaLBq7zGqRfNGhGe1zL3LTY3Nxkw+eWZbH2mkktTbQVSdO0mcgcx3PQPQrkXh/d05uwLQt8tQFPsQobHOReH/J2GTtpkrh45ZVXBsQqeI5U6S7GSPvlu1vkv/W9r65Zo1U0aiwedZNq2Z8+AD7eBb69QcRTRAGwhmxjxD1p6XuVfaJ3EDwSab28mgD+4yPgRm6yktmk22urTkjZkm//GM5FSIXun38M/N0rpIXUiUYfqHZJK2ahQ5Q9L8eJRUGjT5Q0z04oRK2trWF1dRXdbhcffvgh2u32SOvssE8ZJXKKosDv9zM/s2q1ikAgcCDRefzeFkL1Fkzv+CBIME10UiF43Dx2dnYGPpdWkqZtkxZFkZGnfr/PNuGjVKKcUvsAkURfXV2deZ1wBqEACVyd5s1PC4sklk5S22w2B+b2hqsnTtGYkwY9jlkrf1Q9mOd5iKIIXddZu9+s55MGbsNtnsOzOsDh52bSDBpVpHW73VheXmZjCXQPdBI5ACz5SUFJtSiKaLVaEJdlFF46h7XXziAxobUaANS+hvIffgyzoCJZa8LmeBiyhGg0NPKZThy0p7ndbpZsWV1dZbN1165dg6Io2NraQrPZHHjuRFFEMBiEz+fDiy++OPDsGRbZS36RIfPabY0k/M5FgUc1wM3rqBoGI+yLlsT3+XwoFoswDANnPnqEYLEK4/HHCOay4GwbnWAYXL2JUKWM0uoy+ho5d7IsIxaLHdo+rHUMCP0+TEkE3+pCbrbAWRZ0nxedy2chFGtACeitDvofmqYJ3rJI1W+4KqcbkJptmG4XXKH5tSTS++I4QneTbAQmjeTMq+XxaeAZmfuKw+PxMLGCTqfD2gucxG5S5WmcutFJw+fzQVVVdDqdhbQZTdpMPR4PNjc3Yds2Op0O20ycGyAVK/hlIHbODek43oF+vx9+vx+6riOXy8GyLDbn43a7EY/H2X3kJHOzwvQqEAoGDJCqjB0LoxELg6vUESgU4C9V0fxTHpnLKgT+JkSJDL+/8MILA5W6y3HgYpRswP/hPpHm364Dp0KDlgZ0Nk01gVMeQuoKbeB/ug38IksysfokwmaT102LlQCZj3t5maibzYJ7FWJ87twPRZ4EFHfKwP9wC/ivXhpsuXxYA+oqIWwxD/BlifxcipEWyyvJ8bN0FBzHwev14pVXXsHHH3+MXC43EkDlcjlG6ukaQwm2x+OBIAgoFotoNpsDaokjn7VTh6fTBt9qoskBdni/imz1NVg8B+lMGNFoFOVyGblcjrXW0c89qMVyGM62Qoqjtqs4A2PTNKeyQZj0HhsbG6hUKmi32yOkdRGgpMHv98M0TXS73YUSS57nGaGjJMo5k7Lo8wHM3s5EfdYkSYIgCNB1ne2n04jjjANNpND129kKTzFJ/dKZhHGSYto6Tytx9NkOhUIwTRONRoP5jNKgVlEU8DyPXq83UO3b2NhAt9tFtVpl100O8JBf8ME/gciZhondP/oE9k4X3nId3l4b5bPngG4PvKqi0a5DsARIksTuAVO3YWk2OtivxNMkMIUkSVBVFT6fD6+99hrbF3w+Hy5fvgwAWF1dxY9+9CNEIhFWvfN4PHjppZdG4o/dFvD/vUVmli2bJMdWAyTx1tMBlwDE/TK0eBySJMHlci00CXP79m1G5GTZBZWT0YqnEGxXIKga+pAg1DvwowOb42CKIpYO8ZYcRr+ug9d0KP0WNK8XvdMrEC4uIXgmBNHNo/r/+Gto3tHng9171G7CMCG2upA6bYDjoAX8MC6sQhwn33xEHNVjztnZ5sQ0KpR0tvOoz/esmKdVyjMy90sE6sMCDBI7Z+UpEAggFAoxf5Rer7ewKhk9RhrELGpmhG4S474nHZr2+XywbRvNZpM9sE6xgsMMd4fxNE3ZZ/UOHFctpZ5btm2z60WV/QAMtGAeicx5ZDY47YQdDYEvleDrdIACwBXKyN4qwLycgrxO2jq/9a1vDVwLOlN3IUqES362Q0gRB0KsXOJ+hay/10HBc0SAJO4l/mxNjXi/5duEKDnJlI3pKnNO8BwRXZkFXZ2oaY4bK9hukKzxdgP4vU+Bf3R9X/76/l5SW+BJNe5qglTn7pQBnwRciU+uBDrh9Xrx6quv4qOPPkI6nWb3LwWVtacBl7PtQ1EULC0tYXd3lynKDpse99sqlGoLfbcbnk4HgVwe3W4P+gqZb+XrdfQCPqxeXYLLq0AUReTzeZRKpQGxnlnFKTiOG5hXG+f7Ng1odWJY6XLa9xoWb4nFYlAUBZVKBblcDrFY7MQk8YdBk1c0yUc9vXZ2dgaUO08STkJHsQhBgUmgZO6w4JDurZIksb1l2CPuuHB2jlAcdm46nc5AgnbYOH14nXaKOkiShFAoxPYrj8cztmWzVquh1+shFosxMZFJsG0bT77YgflhDsFMCYF2HSJMMs/crMFbLKEUT0F2CbA4joiepDOw7rXhulsCTAv93zgFJSgiHA4zjzyv18uqnjzP4+LFixNjCZfLhTfeeIO1a/r9/olJgmyLWOFsBEe9TVWTKA+HvSI233gD3W534W2/0WgU9XodPp8Pel1HvXkbcqNJLASwf8DtcBhCX4V+cbaYBQBcERmty6egx3zwnw0jFlNYpa2Z60FQVej+MTPUDu8JdyYPwCbG4FfPEWPwzaMbg0/CLB5zkwjcrD5w9HlZVLw8T6uUZ2TulxSU2A1XnpwtB87s36KGymkW+ygE4KgIh8MoFouo1+sDynzD4DgOwWAQwWAQtm0z2V5gf17gIHNyJ6gp+7h5o5OCLMss6J0l4PV6vVBVdaxhLA06Y7HYQILAaf1wlGsp+hTY4MaSXdXtgdLrwlhOwdJ1+IpVcIUK2tEQdq5qeM98H+efO4fNzc2B10oCqYY9nyIy/e9sAQ+r5N9X9r5Wf7AdHiJPFCi/2Js1K3eJDULKS+bWOI6QpN6okNXckWkCHX28n56xtwed35uh+71PgX94nczf3S4PCp/4ZEIkPy8QYjjO/mASXC4XXn75ZWiaBl3X0el0IAgCSwZR1cFx978oirAsi1Uotra2Blr3sp9mEGi2oabi0LgEQg+fwNNoQOur6J3ZgNzro35+GS6vwj6DStrTzz1qAEUDU5q4yGazM4lpDLd4JpNJNBoN1Gq1qd+LJomcLcN+v5+JyFAF3nH+d/PGsNw1zUhTKfZ5ep8dBGdVc1GCApNwUBac+pE1Gg1mL0CNvoeTWkedo3ImTpz7zfLy8lTBI62UeTwexOPxQ5OIzkooNRSXJAmBQIC13FP7Gqp2qaoqlpeXUa/XDyRyNCna3+li5VEaHqMH1e+DtOcrGigVoIoKTEVCamUJFjgUuRS+4Jbw/Jf/DsFSCe1QCGGfB5HVBJ577jncuXOHEefLly8PWPAcBFpFOSwgrvfJej9M5ACyb7hEwL/3SCxyVo7i8uXL2NjYQLvdxl/+wTtw9XtwqeQaaIoL3bUlcLIMs6dCKVXgX5rdskPxilj9m+fG/k6t9CFqGlRZYjNxtmVDaHcRrFTQd7lghsPQNpKQzyUQOh2AMgdj8EmgVdpJ1985guTEUdXgKRFc5OjSPK1SnpG5X3IMV57a7TYLbOhNXiqVoKoqq9h93UADwFardSCZc4LjOEQiEUQiEdZqOGxOLkkS4vH42KBHURRmyv40yNws8Hg8qFarY8mcEzRBYBgG8vk8GxSmymfTBBAUks8FSxTg2i1Ci4VhK/vnUPe4ofS64Ht9wO+Fsb4Mq6/BU6qAf7eG3Vs5lH9Yx6PNRzhz5swIqRN54MUlUq37NA+88wR4Uie/m9RULPPEh+3vXyMk8MMsEUtZCxC1y+4CRF9Ph4nIyl8+IgQyvMeXKAH1yfszdA+rwO99BryyDFR6JJvshHfvliu0idXCkm/fTPwwuN1ufOc73wHHccjn86jX62xep1AoQNf1sXMsdOOxbRu6rkOSpIFZLM9n2/B22og8rqJw7hJc0NCHDFntQ759D+1AAJ6zg8+nc+4NIBnWo1S7nX5SvV4PhUIBpVIJ/X5/qjVhXItnMBiEoiisenjYe1FCPEz6FEVhlcN2u41+v4+VlZUTq+irqgqO40YIeTAYhCAIKJfL2N3dXYjoiJOAfBVh2zbK5TK63S54ngfHcRBFEYlEYmSvdAqRzfoZzsQhQNbyVCo1037c6XRg2/ZM67ATlmVBVVX0+33cv38fiUQC6+vrCIfDuH//PorFIkKh0MgM2vAx0GclFArBtfMIomnAcCnohSOQ+z1wlo12JIpycAlb3/o1RIoNtP/8Bh6dEaC+/E00XngB/JdfQPf78f0fvo1YMs58JE+y06XYGezIcEI1yfo56feLAM/z0DQNN2/eBEwbsqqhubwEO0QWdkawul3oigx/ar5Vfr3ShbgnFc23u5CabfCmAc3tRvXUMvhECKnX1pGIPT37Aef958Q81MvpPb9IS5l5WqU8I3NfI3Acx2aiqJEpVblyLtAnLZ7yNFsQjwKe58eak+u6zoLc4YFZp9fcolqn6ELVbDZnIub0mA/KtA7//erqKlN24jiOzdxQW4jD2hZiV6LI9M/B/aiGQKkK2DbUcAi2xwVjL4CUuj2ofhL48i4Z5toSDFWFP1dCKduAIfXQaDTw+PFjvP7660in01hbW2PBsiwAr6yQKtXHu8BfPiathx9mgReGrAZEgWRmE17g7zxHSNJfPiHVrXp/fpU5wwJqvfGG5CIP/M55sin/xSMANhB2E1EUANgM7v/d2T1CpxpAvUcInhM0GWnY5PX/8lPg718lhHUaOI2Nl5eX8dxzz6HT6eBnP/sZstkseJ5nHnP0+ep0OggGg2g2m4zQCYKA7e1tRIMJGB0Lom0AHJB8cAfggO5SEkqhDME00fd5kDo7WpUafn63t7dnagWkyQ2aVHG73aziR9uHDyNPk1o8ndXDdruNbrc7VhjFmUUe9zmCILDZPsMwjjSPNy1ol8Y44unz+SAIAgqFAgqFwom3ftIZwkXNoEwCTUxR8mqaJktc0OtFW7Im3Sc0mTEtAbYsC8VicSQxclQSPamySJMXTvh8vgGvOSdarRba7TZSqRSuX7/O3pPOrTo94ZwYbjGt1+vo+SMwIzYQC6B17hIsUYIlSSi9/UO8H7yKqwkb+X/23yC1s43nKjUET6dg/tZv4+Yrv4FTcRHx1Oic/0kh394XyqLo6eTfNQtIfAXyDVtbW2i1WuhkqvAKPCNyFLZtQ9R0qD43fON8ao4Bq9SE1FfhzeSge9zobyyBP5+CEbEgS+pTmXMFJhM4n8+HcDg8t5ZIulYtKp6bN56Rua8pOI5DIBBgZM7pUeMUTzkJPzafz4d6vY5ut7uw9k63241erzdzC+IwnObkmqahXC6zofJhDztgsV5zzo2OVjJO0peJ4zjWTur3+1Gv12GaJpPOPmhx9wbccJ+VIZxfhdk6D/VmGu50Hny1BjVINiip28Pw2eMUBTYAu2PAtiW0Wi0oioLHjx/j9u3b2N3dxVtvvTXgt+cSgTfXgVybzESYNpGb9slEQIXnSGWu0affi5Ce/zJEvOn+6B5Q6xNT8HEkbBb86QMy0/efXSF2BsMQeOBv7hG6//iIVBJre8fld5xKSujulomfXn3IY668x8uXfMB6kBC/f/EpIXQXjtjF53a7WcValmXU63VWeQPI80ATGnQtMU0THMchczODWKeL4rkLCOd2mLy16XKhde40QncfwFdtYOsPb2H1ty/BF96PnOhaFAgEWBKKmnhPM/w+rqomiiIjT4eJmTiTHNVqdUQNk5JKaqI87r2m8cfjOA6bm5vI5XJQVRXpdPpE5tcOUwWlKoe7u7sol8swTXNqu5NZQc/tIlo6DwK9xxRFGRDLoV54w15c43BY2xeFU1yKIhgMotVqwbKsuSkkDlsMAPstZk6/w2HQ2MDZpbG+vg7LskYUNQ/D3W/9EGZXwJnrZ8kxvf0DpFs8cl3ybNwqcjhjqTADHmjhMMwkUUlUefnYa+0s6BtELMotkkRYQyXKwCIPnA4Bv7ZG2vCfNnRdJ+rR5TaMMR0/tm1D1jQ0I4mxPp3HgteFxtlN8BeX4TsdQizpAsdzjMQvisjR0SEKJ5FbhIr7ogTx5i1O+IzMfc1BfdgMw2AzC3TGjj409MGZRu1nGlAy1263F0bmwuEwer0earUaI2PHhSzLWF5eBjAoces8Z5qmLawCSQmVE6VSCaVSCS6XC/F4fO6Du8FgkJG4zc1Npr7G8zwKhQIsy0IsFoPX6x04B3SxNS0d8cthWBeDqD05hfaNLNxPsrB4HpLah23Zo1LHANDWsbl5iVVWSqUSYrEYWq0W3nnnHZYoeO2111iWe9lPZPpTPjJn1taIkmXMDfgUsoFTw3FgX8Tkdgn44wfAv/qCeL0dNeFp2aQymG0B//oW+ZxxIikCD/z2efL5f/pw8vu1NVK5uxAFbuaIgEt0jwM93kue09agcxHyb7//GSGSV4/wCPA8j29+85tM4e6zzz5jkv8+n4+1IDt9etbW1tBsNmF+eQvuTgeaqqOVWoHr0T0AQPzJA/Qkcn1sgUf8wQ5y/6OG4PfOIHGWRE9Oo2/aHkhNvMPh8KFEY5xgC7BPnra2tsBxHNLp9NhZMacQRbPZRLfbHajkOY2eLctCv98fEUahbZ7TVFyWlpZQq9XQaDSQyWTm2u6o6zp4nj90HZBlmVUca7UaDMOYukV9WixaSfkg0HWzXq8zEZF5t5lSURPnOuhMttG50KPsFU4DZTrLSSFJEmRZRqfTQbfbHTDaTiQScLvdrMMiEAggEAjg+vXrI9eb47iBObvDjwko9yyEwjG4//JP0dAE3LjyXdgOkmEDKP29f4RyswHj/CXmPWntdSUsCo0+0DNI50SxCwRk4NUV8nM+OtliZlGg4mztdhumCrhbXZhu14Cfm2UYQLUOwTQhJOYvnb/yG5uw7Y35k8QpMKz94MQifILpfb9IKwraDTKvSuAzMvc1B/VhazQarBfYqYrZ6/VYdrbX67Hqk6IoiEajR8qoztrWNw/Q4zypz3S5XGM97IB9E9RxpGaecAZoiUQCLpeLzXv0+32WjR3XOuVyudDv92dWNnW5XOA4js0jUiNywzCQy+XA8zxqtRoqlQpbdMd9f17gET0bQOS0H43MGhr/8S6kWhPezC7UQABGwMdInSUIkJo9bG1twe/3o9PpQBRFNqgvSRK7p3/84x8jGAziG9/4BoKKAnCkwvX6KpmReFQjVaxyj0j7q+Zgq42916YYcRNS96+/IEqSvgNu+0KbZHWvJgZVJEsd8plnIyQL/K+/IBW4ccRK4IHfOkfETu6UiDDKMOp9kjX+J88Df+YD/uwhqTomvCQYAvaDEI4jM3lbDeC//5zMFP7dy9OpXDqhKAoURUEwGEQmk4EgCKjVaqyyMRzsaZoGaAKUTh8cgFA6DQkGnFEItycVqq4tw9Z1LD3eRu3f97D1vQvYuLa8/3d7B+v1eiHLMrLZLOr1OjqdDkuqDMOZwS2XyyPiInTDpMHw7u7ugK+ibdvsd5PaIGkLGx2qHxZGoWvPLEmwcDgMRVFQLBZRKBSmIq3TgHZiTCOyIooim+VrtVowDGNuiTBgn+AuStV4GLZto16vMxJFsbS0NPO+Rqtsw69zKiTTFlvbtucuMEM7QEzTZETOaSUzSWWz3W6jWCxCkiQsLS3h+vXrE1tJXS4XwuEwU3Kk970gCOB5fuTZNywea48fYSn3Hty5LHjFA+7y20h4yYzvh7tkttdKrgLLq/szX3tr10Fr7LzR1EjSyy8D3ztF1scV/+zr47yhqipu377NFKXb7TbMpgWxr0KLRwDLgt3sQGk2ABvoez0oXj4F36n5kzmO58AN2YGfZEJmWONhHE6qFX0YNNmzyHk5OmP9jMw9w1RwLtqWZY08GG63m5EUVVWZnLGqqqzlQpIkJrP9y4CTrpRRD7tsNjuwwZXLZZTLZQiCgEQicSLny+v1otPpQNM0eDwe1tblnJugx+Gs1nn+/+z9V7Qk53klCu5wGel95vGmvEEVCpYACBIAPSmKTiSlbkmtVhv1Va87M+veO+uuNW+95nHmpdfM7ZnuVkt9+7bUrWaLIiWKpEjRiCQIQwBlgCqUN8en9y4yIyPiPnzn/09EZuQxVeckILH2WrVAVp2TGRkZ8ce/v29/e/v90DRtRxOUQYiiuJl743GcV7YRNE2Tu/S12200m014PJ6RcjNBFBCdDyL6e0+hnumgfjEDz9VlBFY30AuHoIeDMDwKPPUOTNNyuCy2Wi30+30+g2KaJgqFAv+3mdPPQpUi6PbJsSwdoD+rNWCtQfNllQ5FFjCUOvQn7gW8QYo++K9XgH901t31DAC+cwu4mAW+dBL4yOLWhmClDrR61CEMeYhY/cll4LcxmtB9YJoy44zNrt4p2x6806fwdEkEfuUYZel96yZQ39SmxgaKiIJAc4TLNcrUmwg4j28vEAQBL774Iq5cuYLl5WUoisIzkOzI5XKQfpFFoNmCBzp6UKBDhmkZUATD4UgTX7qDRmoCPrMLKZtB6XsGrhVb8B1SkEg6uwQsOmNlZQW6rg85ZzLYJTjNZhOtVgvz8/P859i/z8zMwDRNZDIZlEolaJqGVCrlMHpoNpuO4PCVlRUHuWFFkEFjFIbBqIad4Pf7+fsx98DJSRdt7h7Q6XS4PHo3sAd8dzqdoTnJBwHbIB2UhHMUDMNAPp93lcDfr6PmoPkJW/fa7baDxNnVHHYwMrhXsyzTNJHL5RyfZTCSwI7p6WnIssxl+IxQK4qCfr+/bbFxYmICH/vYx1Cr1XDx4kU+lx0KhWCaJjqdDlfblEolGJqIs++8AQ0erBw+i9rJ03h6QYEoUCEKcKocLIsk5bkmEPdvn4253zgaA/7547T2R95H25iXX36ZPz8ZeqUuZL0Hs1SB3NPR86qozk6gfygGeVqB1ydgcvbgHXGB/e8ebUfgWKyWIAi8QD4uwz52f49zj2uXfu8HHpK5XwKweblqtTo0D2KHqqqYmZkBQDdxqVRCt9vlMwAAPfyTyeSO8hT2cBuXBBGgLmSj0UCn0xmLe1oikUA2m+UV0kqlgkajAcMw+Pny+XxIJpP7Jn9kcppBR0ufz4dwOIx6vQ5RFLkcjHXrWMWp1Wrt2QZXFEXupDm48IiiiHQ6zavg9XodhmHsavYiPOVDeOowmk/PoHoxC+XdJQTWMzAEARYAjxoBPAZfaO1Ewu/3840Km23Ur78NGR9E15AdRGwuQoQooGxltzFkGiRnnAjQzyxGyEzFKwG/8ciw7b/WJ+fMbh/4i+vkhPnCAhGmpSoAYcsRbTGyRei+pAPPzg6fg3tVImlN0AaIRSiwENvDm7erKAAfP0xk7ZvXN18/Ovx6K5tNCFUG/vwakcvPHNudjMguQWU4c+YMjh07Bsuy8MorryCTyQwROiHfgU9rQRQsqFYPXXjQEz1oKx74ei3AAhT0IXVNJNaWAQGoHDkKuVBC/NXbKHcPIfjp4c0CWzfYGjJojGKvGrOuGjPtYeHYgxJM1omyS6UZ3DYYrEAySEhYp94+m3Q/nRg7ae12uyNJ625gGAa/9/ey7tqD13VddziUPgjei8ymwQDuSCSCYDCI9fX1B5JU2jdeKysrME2Tn59gMMjVAm5rq67rvECwl6iMjY2Noc7ITt/LYMGFdeGYadFOYIXbj370oyiVSvB6vbyzWiqVUKlUcPfuXfh8PnS9cdw8HUErNoX0C49jxuY4xchcxEvrSrULZBuUk/mRRVozZ8bYsBUE4OR4+M+uwb4nRVGcJjktHT2PB51ICJ3FOOKPTODIYhxaV+OKoHHkRAL70z3aDYGzkzbWeR5Xl+y9loOPup/ZedstHpK5XwIEg0GUSiXU6/VtyZwdHo8HU1M0rGx3eGQuYMBWRpnf7x+6IIPBIBqNhsOo4qARjUbRaDRQqVTGQuYYsel0OhBFEYlEAolEAv1+n8dBdDodvuELh8MjZYh7fU/7XAQDI3NMUmPv1rEF8n6kluFwmGeSjaoiCYKAWCyGaDTK81/YBnppaWlbM4tgSkXwkwtoPzWFysUspHfuAd0uytkqjj62MLTpZp+fzUMBtPlpVXIw1CY0OTr0880e5dMNjuetN0iyyMYEfAowHwZ+vkpyzS+ddP58pkGzd4tR+u83rtNrfnCOAsFDtv28IBChe32dCJhPdpqiaH2SWUa9NPP2+jod54UMGZsk/BSdYH+9FxaINMp5cmFbiGwRMPszaTJIUs/v3CYJ55dObp9H941rlIP3D88Mm8Cw7zwWiyGXy0GWZS5/7ZS78DR1SDCgBUPQVS90nx8FIQxDkqF2O5jMLsNrOosPomDBmEhBXd0AZPd5NvuDjJGTtbU1LiNmkkKArms2HwwAq6urfBNq30AzV8mVlRXHQ3ww3HoQbnEgkiRhcnKSEwg7idwL3Ejr/ciL7HNUe30NQRAc5+VBCd12mW77CbvM0Q77PBzbRD6I3JN1xuz5m4lEgm9yWfHK/txxc+Hb6bnkNneXTqf5Jt7tfNqvTTuRi0QiMAwDtVoNfr8fhmHg3r17OHXq1PYfFuDqEjvY8216eho3btzAijGBC8FJnEiIQ0UgZjZlWsCNEpk4fXgBeHGBDJsegiTRjUaDEyYG9UwAlcmTOPrkAhTP1qLNRkjG6bZ4v92jQTd1O9wInB1MFj0ueTY7r/uR9fagGJwd3MvY0EMy90uAnaSWO8Hu8GgYBsrlMs+8sT+s2MONZd8xC+RxkTm2idrLEPeDQBAEXglnuVsAnS9GhDVNQy6X45sOJuu63/k6+2a30Wg4FiBWrWMbD5/Ph8XFRZimiXK5zBdmRi53awCgqip0XUez2dyxGMAsrgOBAK+UK4qCUqkEXde3dd/0xz3wf2we7ScmsXx9Fb6E6Oh8zM/P8zxAwGmVza69I74grpRIXmknbqblnsN2tzpMcgIeQAR13Qax3qCunFcm4rfRIEKXbW3KNQdOJ/t671Vphs6waF4DoC5apUPHJQjAszNE6LoGSTa/fIo6cYOv948fo3y9r71LM4GHY/RZmSvmxObpjfuoI/e3S0Bbp05jwKV51OhSN3K9ATR14DfPuHf9Tp8+TUHBmsavXeXH9yA3m5BgoStKaKUmkP+d3wNCYbxbADxryzj7gz/HZCsDVetAbdN3l7p9AzV/BJ2AH6HDYRjoYWNjA9FolNvY2yu5rFABkIyY5bUx2K3Zk8kkisUi/3k3o4eFhQXH9dPtdjE5OYlisTjUeQTooerWNWPrH+tcr66u7tnCmxVmWFZou93GysrKrt08GZrNJkRR5M6+e3XLFAQB8/PzXOL0IPEJB53ZZLf9Z9+HoiiYmJgY+rxss7zX55BlWXzDbYfbPBwjVKIoolQqOX6HqVQA9+6t/X32MnfnFkkwOTlJ1vatlmNWkBmj+Hy+XZG57eD3+/H4448jexsQsu4y7naf1s9GF3h+jopQ9sLTLzs6nQ6uXr3qKFRKkgRVVdFutzF9OukgcsDWOvFejLvsZp+yHYGLRCJcQrkd7A6w41J0sULQOONT2HoRCAR2NH/ZLR6SuV8SpFIpniHzIK5lkiTxTDbTNLm0EKDNl92ZDqANxm6G8fcL45Z3xuNxFItF1Go118/p9XqxsLAwtNCxuTYAe9r8Ddqhl0qlbcPN2e8kk0n0ej3ous43FmwjEAqFts1XUhQFvV4PXq93T129QbMUWZZRqVRQLBYRjUYRDodd39Mf88A3NfwebHPq1qkrl8vw+Xz46GwH+bYf9yoSDsdo86Ab1Hmb3CQ5vV4PiqKg0xewVnN204DNDpfgnK1juFelTQo77OkQEbpXV6lTNzdAGJubRfO4j7KM/usVInRPT1OHTTe3yKSd0PllmvVzkz4C1GX0yfR6t8vAkRgRO8BZ+Q6rROheXaNz8I/PDb/WnQoRwVNJkoX+4UXgN04Pz/l5vV689NJL6PV6qNVqeOMXb6Bb7iHUbQMC4K9XYcgypPVVGCcfwUQAMI4voHzoX6D+ne/h+LXXYYQV+OtVAICv3UInFcHc0Wl0u11kMhku1Z2bm4Msy/B4PFAUBZOTk/D5fCgUCjz8eBQCgQBUVeXSto2NjR1z5ti9MDk5CcMwuCtks9l0dD6Wl5cdm2xmVz81NcWlRJlMBvF4fNeVZUYIm80m5ufnAVBXJ5vN7jp6hBXpTNPExMSEwy1zL+vLYCYay3bca7eRzcvtd7WbXSf275LZle+03u/2edDv94dcW9nvs5iOUbDHHuxkUMJmfhkhFQSBzxvbzzdbrxlJrVarQ67GAHXwKpXKyHtDlmU+RrEfyDQov9OORhfYaALTQVobv3yaTJwekrgtGIaB1157Dblcjl9jTAnFrp/B+6bf7/O1ZpyOizthPwicHbuJeNlvjFsODmx1PN3k/vbOpdteZxQekrlfErBAUOZKuB+wSwtN00StVuPVQLvspVKp7Pmmvl9Eo1FOMMfRpmeymWazOXIoHdjK9gmHw0MkeK/zdfYuBQBHuDlDt9sd2sDFYjEUCgUEAgH+vzVN41IPURQxOTk5RAoFQYBpmrzbtte4CbtZSj6fh2maqNfrqFarIzdibGO6sLDAu5sAuNsqsDUnBWCro3H551joBlE0z2KlFsVClLpNQQ/g0Sv40Y8uoNvt4vDhw2h5JrBRFLGQCsC+FLZ1IkrTA2oW3SDiExrYF0+HKKh8KkhGK3ZCt7b5Nc2F6TXX6sB/u0IxA9cKwyG2gkCdtVyLiOMP7wIfOzwsDwUoT+6fPkYzebfKZLsNDM/H+RX6/fSIr+1agXxKVBk4HidC95/eBr5wAvjwvHMjJkkSfD4ffD4fjh4+gbely6jEJxBpV6B2O9D9AfQPHYVQq6K00cbZY0H8ow+F8fXk53Hhu1NINPOYvXERvkoZdU8Q+lwES0tLvCrKrjUWUB+Px3Hq1ClMTk6i3W7j/Pnz3N1U0zTXgOPl5WXHhoe5U9pJCdtEiaKIqakpTvxarRYMw+BrGjN+sUsyNzY2hsxO2OuzzUi5XEa73d7R0GRwXmNQ6lkoFNBut3c0V2HrLlvbY7EYFEVBsVhEJpPZNSlkxz83N4dqtYpGo4HV1dU95+Htp8zSvmG0d67S6fSOssW9HAeTRdo7abFYDLIso1AouD5P3LpjsVhsZKEK2MqhY+/Bio/sWnR7D4CuWTspFEURMzMzXL1gd1geRCAQQCKR2LNJzyiYFq1l/s1Lotmjzr4qAU9NAS8ukunIQxK3hUajgfPnz/Nnrp1093o9RyHAXrQ1TdPx3BvXvJy9e2THKGkzcH8Ezg5GXsYxJgNsdQLHYbSyHfHdj/iFh2TulxB7nZnaDURRRCwWQywWg2VZqNVqvHpoJ3kHnRkSDodRqVRQqVTGQubsn0PX9V2ZIDASzMgck2jZ5+ui0SgikYjroujz+VCv1yHLMmZnZ12rvplMZkimw2IGWLeUbTTr9TrK5bIjNHZwQ+L1eiFJ0gMFwTOyaFkWl0syB0xVVZFOp/n5DAaDqNfr0DSNy0VZVZ6hXq87jFDYZk9BHo8ERVzpnMOGFIRpAUmfiasXXkO9XkOv10Ov14MhLUFtTuFKZwZPHo7Bt6lpbPSoozVIfjJNoNoBkgN/b1o06H88QaRqtbYlnWTSR/+mIctchDZBX3uXSFfEpcia2yzGBT3AN2/QbN2vHNua67NjIQr8s8eBP7xAG6pBcgjQ76sSRSYMoq2TmyZznWNzftkm8N+vkpHBZ44CistycfrsCXj/n/8YX/vuLUTffBuTpTX0AkHAMDD1B/8bIroI7bNn8a6Uwm899Qz+JvQ8/uYukDv9FGI33kYtEMCpxTz6/Q5fK5hMjHXlWMC1IAgIhUJ4/vnnYRgGPB4PfvrTn/KO+OBGdrDDBJC8mEkX2eaImYXEYjFHgQWg+3mUZNsuL2fXILt3I5EIarUaNE3D0tLStlJFVpQJh8M8BmIQrHq73QxbrVaDKIqOeRpmzJHJZFAoFKDr+o5SIkZyJUniUQzVahVra2uOXL3twDoIe3VuHARzjGQOnUzWPjU1tesN7U7zMJZlIZvNotvtOoiivZtpVzCw33GLPFBV1ZWMsU2xIGwFMLP3YZ27XC7nOgvFnDndkEwmR4aDe71erqQIh8OYnZ3F8ePH9+25X9NonQRoJs4jAk9MAi8t0vzv+4HEWRawWqf8zedmt58ZPmj0ej289tpr/D7cDrIsb2saMi75od38ZDsCt91eZS+wrz3jwjjk4Pb97yD2M3rhIZn7JQIbpC6Xy/tWoXODIAiIRqMIBAK84s1gH/j1+/2Ix+P7WmmymwmMC9FolFex99L1ZBvIQCCA6elpR5XXLqUZnG1jXYfBSu3s7CwajQZfOBgxsxuvGIbBHxbsXLGOoa7ryGazPMuoUqlwkqWqKkzT3JeQdGack0gkOOln80aSJGFqaoqTuUajwT+7qqoO0xP7g4VFNrDvPdi4heNBGbe0J9DsK3hq0oRHU/jxm6aJXqeCx8Qy3oGCW6UITqUlKBKRolPJYQKz0SAzkfmBy7XVI7L2xZO0efjaFfrvoOSSf09h4LU1kmsaFkkr3U5nOkCE7zu3KabgiyeHZ+gAMjv5nXM0k3erTMcYsO2jyx0g6aeZlUHcqQBljQjc1vdDEtNsE3h5hSSdo0wLDp2awbn1W/jb5IdxvexB8NghTN14F0q1Do/qhWkUUK+rUCTgV48D6SDwjWtzuByZw+ePm0jmf8rJGzNqOHeOtKDRaBSqqjquNUVRuM16r9eDaZpoNBr870RR5GSCgXV5AXD3WfqctHl3i1wIBAKQRAWlsnPzxe4H+yY6lUo5Zh50XXd0jQcDxu1g13C9XsfMzAwMw3B03e0YZUrCujqmaaLVajlIgaqqmJ2dxcryKjZeyyAXLePEc4ddX9/urscQjUYhSRJKpRLW19d3Jdl80MymXq83JKX0+/3bKh9GwU6WB98jm806nhMsymVwc2U3IRiMo2HnotvtusrsLcvi67C9S2jPumOFAfv3Nli4AsClu2z9cyN5fr+fd0fYNef2mR4UxQ4ViQDg3AQ5VB5PuCsIxg3DJIL5+hpwpUD/Px2gmJdxghUtL1++jE6ng1qtNpLIzc3NoVaroV6vcyWBGw5y3zYIJgUc7DwD+0fg7GD3wTgllmyt2k9TGbZ/cnOijEaj6PV6aLfbSCaT+3pfPiRzv0RgretWqzWWRcG+KWCbELbpYbI41lXxer1IJBIPXM1l76vr+oF0IN3g9/s5mdvN7AaDvYsYiUR4B2qwCsYWU1VVkUqlRpLftbU1TE5OcjInyzL6/T43XmERA5ZlucY3KIqCubk5WJaFSqWCer2ObrfLN66hUIiboexHIC4j/dFolEucDMPA2toa3/i4uXa6gW2oGSRJwiEpg8W5Dl7NK4C4NX/V7/d5RIPXayGlZHAvdgLv5no4lZZhWKIreYl5gZSf5I+HolsErNGjnLqUn4iVKAB/egW4ujnPnB6hGDE295GvrwPPzNDvsQy51ObvxH1E+n50j4xRvnravfs2HwH+rx8A/uwqEcXp4FbXr9GlyrQbEbxeBEzTvfPWM0hC6mYcwyAIAj7yoWdxtlzF5VYaf3NXwkp4Hp7YBJTDSSSmyBqePbSemQESPuBny8AHZkTMn36J5wdms1ksLCzsypRHlmUcPnyYkzRVVTmZ03UdvV6Pk/tgMAiPx4NCoQDLstDtdhEMBhGJRCCKIrrdLncQlCQJ8Xgcy9++DW++jt4HpqGmtx64vV4P/X6fd9+ArTk6hna7PbQZYwHj9q72YMFpsPDFPqedaA7GMwBw2M4Xi0V0u11HUUmWZchdL+JvXYMhy7iumTj+wmGIA61eJv8ZLEiFQiFIkoR8Po9MJrOjcRIr1u0lCsDeiRBFkcttgfvPhgO2OrSsgMXWtcGiXzAY3HG22y51A+iZZjdIsT+73ObuvF6vQ33AwNYtj8fDVRJuYNEVg2CGY+FwGFNTUzh+/Pi+Bpa7YTIAfOwQEbiTyfcHievowDt5ml++UyESJ4ukcHgvHDTz+TzeeustlMvloQITsBWl5Pf7eQfaDlaE7Xa73DH3QeI1doPtpIA7yYcfFEx2+n41eNkOdsf3QdiNAYEt47b9diV9SOZ+ycAquOMiOsxZrlgs8s0M29Bomsbd4zRN45uZBw0pj0ajPEx6t1EMDwL7Q3wvUQz2BcTe7RIEAZFIhJM55k7X7XaHNhSTk5Podrv8Z+05SyxjiW0sWWfN4/Egn8+P3CQJgoB4PI54PO7Ibup2u4hGo9A0bd83C4MOmHaM6gTaLbsHOyuiKCIajeDx4368WbJwrSDg5MIjnOSLooj5+XkoikKLa+1l3KhN47VqFFPpJKZDwxWzE0ngtx4F/ss7TkLX7AFPTW/JIJ+cAgQQoat3h/OU7Hv4qJekjL9YpwDx5U01hp1ARbz02j++R93Bf/kUyUAHEfSQE2VAAX6yROYqEZWO8ZjLbdA3gXsVIpV90zlrZ1nU4Ts3sfNGzefzYW7Gh1kLmAgBX786gbf/yf+Cf/K4gMPeYbnz0bhd8inwh9pe3cSOHTvGSRQrTAiCgHqzjVarhbWVJTQaDSwuLmJiYgJvvvkmer0eHyyfmprCiRMn8PLLL8Pv90NVVQQCAdRWygjdzSFWKqLU6aHw4ROIT+gQBCoa2DsmbEPGui/soT3ogAiAG1DNzlLgoN0y3+/3D133wWAQoVAIvV4Pmqah3W7DsixHPANA3T1BEDA7O4u1tTU0Gg1omuYwu2jeLmOi14MlCIi+cgvXWj2c+sxJB6GzF9YG4ff7eQxDLpfb1QzebjZIblJKtv4UCoV9m53JZrMO50vWHcvn89B1fUiGaXfLBIgMer1eR7XdrXviFkfAsNP8pBtRG3xtN0QiEZw6dQrHjh0bW8hySCWlwPsB5Q7Fuby2RnN7ikjzy36FzKEOx2htHBfa7TZef/11tNttVKvVISLHjGjY9TNYsBws1jCC4PP5DuT73c5NEdg523A/8F4QOdYlvV9DmW63i1KpNBRbwwzn3NYutn7c76jKdnhI5n7JkEqlkMvlUCqVxtLODgaDKBaLrt1Ar9fLNzYs+Jk5Lu41pNwOdhPtJVfvQcAqo81mE61Wa0+LA9sMDsqjAPDcLFVVMTExgW63i1wu57DvzWazI79Hu7soQJuJUqm0p3gK5kjJhrAVRTlQcxn2fvag3eXlZVfiyaRXpVKJk1zWMdF1HcViEd/9/svwv1xFsFLB9774efz2iy+hunoNPp8P7XYbS0tLZHPf6eAcCnizcwLBK7cRefZx6Lo81Cl+JDVM6ExruPL7xBQZiYgCub4tRrc6eYXNZ/dcmEjbnTKQbwNv2DxsBrtvHonI1bt54D9dAn7zLEknB6HKFGkQVoHv3AIKLcqNO+yieJNF4B+cAf70MnCzTK5z7H3bfTJsOb4HryRBICK7XAN+vizi9TXgyNk4DnJef/Ch2OwB/+aiH+mAH18+k0LMtmy88MILEAQBP/rRj1Cv11EoFHDmzBm8+OKLuHPnDgDaOK3+4CaCHQ2SAkgQ8VbwaUzqGZxWVoakbfF4HD6fD/l8Hh6PB4ZhQFVVqKrq6irIpNELCwv8wV6v1+H1evka4vf74ff7OZlja0Mmk+Ebh2KxyOeh2PxVPp93hH+z97FMC+paDbqiwJqegJUvInX+Dq5rBo59/hQUj7wrWbrX68X09DQ2NjZ4F91Nvgjs3EFgUkoGy7K4SQeTvgIPZhduJz+MlLHPKUmSoxNqzwy1y8pUVeWqCTeCbs82HCRjTJI6iqQNngM72HcqSRInA/F4nM8wsg50JBLByZMncfTo0bERufcTLAv443doXQyptIYxlYG1WaQ6sT9+b9ui2+3i3r17EAQBmUwG2WzWscmfnZ1FtVpFs9l0lVGyudtIJDKkvDkoUxCWaTgIu+pgfn5+LDN67DjGKSO9n3DydruNYrHo2IMBu29AMMJ8EA7vD8ncLxnYQ3a38rX9AJtnajabI1vLHo+HV9l1XUe5XB4KKQd2l882rgFhO3w+H5rN5p6llizovFgs8ow2hlAohHK5jGq1yueH5ufnh4ajt3MxsyObzWJubg4bGxtcvrXbeUVWbWLdgYOOflAUBYuLi1hZWYFpmlhfX8fMzAyvprEHWygUgq7rfDYmEAig0+lwmV3vbgVHLi8h3iph5U+q+NGfC5A+PIlg0sslJWyDl/YreOruZUy89g6+n7uCyU8tQpIEnDlzxmFsYCd0N0pEemZc/BV+7SR1xP70Mg3hs6gE5nA5uXkrHInTBmR9eK/IwX5nJgxcyQN/dBH47bPDXT+AunifOkKRC9+8Tt053wj18nwE+L0nqYv4dpbIZUgFym2qbrvN/Wl9ysg7FHWXZ7Z6QL0HvJ0jCepvPOJOJu8H7xaAixngE0e28vTsuF6kjL57VSLNXzm91ZUURRGWZeHo0aMwTROPPfYYANrYHz9+HABQq9XxX04AyWoIs60sqk8+i8PNPGYvXAQUDebjMYjJrQf28vIypqam4PP5kE6nuUwYoM4xu0dZx4ldv4ObOfs9HAwGkUqleF5Zs9lELBYbqgAziTbDoCMeex+P7oe/Ukc/HIIIAOkk9HIV6Xfu4Y6mY+GLj6Dbp+r/TsUvj8fDO4BMPmbfDG03L2dft+wyR3uXkYE9n/aqAGBzSoPzKkzeyLqfg7NLhULBQf5CoRBM0+RSt/X1dYeJQSQSgd/vHyJjfr/fMQvDFAOswLedkQRA5DEUCjkMWWq1GqLRKLrdLlqtFnw+HyKRCCzLQjwex/Hjx9+TZ977AbkWrUXTYVrn7Ohs5oG6zQrvB9jeJBKJ4MqVK1haWoLH4+HPHzbuwQrag6ZM9rkzRvgHixeGYfBraD8klpqmcUdpO+zGdLquo1arccOhcYAVLMbl1AnsLrdvOyOavY4GsTWH3df7jYdk7pcQrNq3l838gyCZTPI2/m50wiz8FXCGlAPOfLZ4PI5QKDTS8ZEtqgc9P8Dej2Evjo92qWuhUEChUIAsy0in047jHpRhhkIhVCoVmKYJr9freFAoioJYLAbTNIfCldn8G6vw7qVC5PP5UK1WuRzyoPX7AA2Gs05DLpfjmyJ7lTIej3MyNxjRIJRaiNRKUKwe5jZuod8H8p02ii9OQwk6r5tOpwO1XIfaakG6cB1Lmgb16QgMw0A0GnV8XjuhU6QtYjaIs2lA2TQnYQHf3U3VjV3WOB+hvzdNIkA9wznjxhwuU36ao7tdpjy43zzrLqEUBODZWeAH94jYfOMa8Lnj7o5ucR9FHHzzOhmedA2Kc/jEpLuD5i/W6fUen6QuoD2qod4FrhbIcCDmJRL7Hy6QJOsD0zu73BVa9LndXD4tC/jRXepg3qnQe59JO//9YpYC348k6HP/h/NkvPKheeqSCoKAxcXFkRLjphCGMXsO7SPnkFMBdDU89v/9fyOU2UDfACr1NprPzcM3LfOIkEwmg1gshvn5ebRaLXQ6HWiahtnZWV5s4K/fbDrmUYLBIKLRqEM+zQK/NU3jvzsowZyfnx+KMbCDFYaazSaqd0pId7swJ7budSEehaYoSN5YwerX+hCfS0L2i7vKhWNRI6urq6jVajAMg68jbiSMSSnb7bbDMXKUKcz9mFe5GYYwhEKhHQtebllPrVYLiqJgZWWFd0y73S4MwxhyqAuHw65EmJFKJqO1r8WSJMHj8fC4l3A4DI/Hg2KxyAufrUaHu2cydDodJBIJvPTSS2Pd/L4fcbdC3fhpl8u2qtF8rlvBa1/e++5dXL58GfF4HP1+H51Oh54hquowQBosLAzmNtqvd/texjAMh9HS/X7X3W4XhULB1eSJdXvtYM9QN2fWgwC79/Z7hmw7bLfGDLqx2xEMBhGLxe5rRImtTwd1Xn+5V4L3GZjr2SiCsl9IpVLIZrMolUqcNB0kWIXHNE3our4nk5PBkHIWKgzQwD7bGA3mm0SjUXQ6ZHk+DjmpvYLFSNluHZ+YvIptcvr9/hApcZM2MsksAIfLI8uEe+aZZ3D+/HnkcrkhhzxG9PZC5liorSzL6HQ6YyFzLKh3eXmZPyyB3UlOFhYWkPnWHUimAQiAp6dBsYBotoDKz0X0X5iA7HeyFSVfRycQgOHzInXlLvqVKPq/7W4680gK+KeP03ycm7kIw8kkhXX/yWXg5maBz20OLaDQnxNeIkSHosMdNUEAZIHkj3crwP9+iTqAT00Pv956g6IUgh7gb+5SqPlXT7vP2/kU4NcfIWL33duAV3KXWFoWdfA6feCVVXLC/I3TWxummyWKYzgSI7J6LE7Ze3/yDpBtAJ8+OtoivNIB/j+/oI7iVx6h17BjrUEE7WgMKLaB/3gJ+MwR4COH6L3ybXr/pJ/+/9EYxUl87V06F58/DgR2qOtcLRCZZp1W6d4dWAAkQ4dimBAzWUg/0VGfS2HuH87xTXqlUsG7777Lu9aSJKFQKOAjH/mIY2348Y9/jEqlwjcTzWYToig6pE1ucr5BbGxsODaMg7Asi5MDrXgHomHC0noQ/FssWQwFoEkiEvc2UOn10Xt+ctfPHUmSOKFk0rHBZ0mv1xtaxxjBBIajC5jscDAkexRGRQQkEgmEQiG+Hg6eT1mWubPvYIeCYX19HZIkIRQKceKZy+Uc8092c5pRHU22IRw0lJifn0e/30e5XEY6ncbJkycRDodx6dIlaJoGI99F/lIL/rsFdE5MwP/I1loriiIkSfqlJ3IAcK1I9/rgetrRaW36wMxw7uZ+gHXJWfHDXgzodrtD9yW7VlKp1BARYPdDOByGZVk8W9KOvc516bqOQqEw1M33+XxIJBIjrx0W1QLsvSt+v2AzpuMYiWEYjCwZzP61IxKJcLOs+wVz0AYO7rw+XA3eZ7ATFHsS/H6CLQxuzjsHBRbMm8lkMD8/f1+vIYoiN+bYTZYdMF45aSqVcgy/2+MFBh2N7IjFYmg2m7Asi8+LDS7ELAfOTg4ZmWJ5VgyCIEDTNG54Yn9PFtK9srIyFFGwGwQCAS73GdfiKwjCUCdi1D1hD/y1DBNmDxCwVYXrBQLoJJMIZ0soVVMOMmd2DKiNNiyPAsmvIpBvodCI4V41DfWnP8OLL3wYkiQ5HsZu2W1uOBoH/sk5Il+1LkkYB9HoAU9PA586SsHi5zeoY8dcL5M27iwKRHZeX98yWvnIorPzda9Ks28nI2S08voa/dxvngEmXN5f3pRnJnxAvuUuT+Kypk2DgRtF4A8uAF85BZydIAmoKGxtoASBpJrlDvCtm8D1EvC759zf/1qRpJGlDvAH56mT+MG5rY3a1TzNDc6FqXOXbwF/fp2I2pdO0b/XNGAqufXe0yH6zD++R8f+66fdq/gAEdWlGs1ANnvUcQxcvoRAMU8vJgCwgEi5DKXbxa3/JiD5sQX++4Mb9sENAMtNDIfDDgIyKopgO4yyL2fSTsMwsLGxAY/HA+mJKErdacSWsujEo5AiWydA9PvQSSUQyldQbk2gVqshEhn+4vWugdrdBkKzAaghImGiKHJCqWma43gG58SYYQqTjTI52XZV8FHzM+2GhuULq/BMyZA8dHEwNQfbpNor77FYDIFAgHc/JyYm0O/3uRFYs9kc2vQyZLNZ6Lru2KwHAgEkk0mHPM6OUVLPiYkJXnwrFArcOZXFCVy8cBGZn99GY62D8GoeyXoNgmmhc4QuaI/Hw51U5+bmXI/3lwn1LikUWEamZdHfZVu0/pxOknpgv9HtdvHTn/6Ud83ZSAiAoVnZUChE7rib94ZbEZJJ+JjrNIP9WbabousoR0VVVZFMJndVRB/37Jr9Ph3nzCdbq9ls8SC2U33dD9h3vJfoqr3iIZl7H2F2dhaGYfAHm/3m3u9MNlYp2mun7H7B3oNVfh70JrHb2g/qmu1ZdsDBhKS7wb5QJ5NJnjcCOM1I0um042cHJReKovD5QfuQsp0css2RfcEHiOCxRejll19GtVp1SHuazSaXDGmaxucxdguv14tyuQyfzzc2mS5ACz2TdgFwzF+yz89+hj04715fgr/XR3lyGuncloxNMAz0PQokm2PlxMQEsm/cgdLtId4ooWkk0Y1G0UvG8UZ3Fs0c4H3jTbSaDTz//PO7kqMNYiFKf9Yb9Cfl3+q8WRYAi4xSIirwO4/SLN4rq1vB43MDe2x2C63WgW9cp1m1zxzbIlJXCxQWLghEvI7GiTD9hwtkfOJGRAUBeHpm+O8ZbpWIdE6H6GePJ4DlKpHU5+doZi3uUkSO+2i+8PLmvN+vP+J8f8sCLuXIie5wDNhoEkldbxCpU0TgfBYIKlufOx2gTuYrq0TUdIPO5+DSElbpvd7OEon+jUfcP5sgAP/gEZqzeW0VaNdamFpdgtppQ7AswAIs0It3Y1EkbyyjUWnCejyOhedOOiI12Abdjo2NDXLb3FzTvV4vJiYmRnbXACKE4XDYIbdaWFhALpfj9zXLqKxUKiiXy4hGo3yt6fV6UPwCjA+nUVQVJG+uoWsYEOJR/npiqwUtHICaElGpVKDr+tDmsXqrDuGv3kRxdgLxz52GL6psnjNhZIdQkiRMTk46ni9s/WIZpHYJqizLmJyc5KTLPstiGiYyd4qoXskhuFREotFC8fFDmH5hxlX9YN/QDs4WskJZOp1Gt9sdSeQMw+CdOFEUMTk5OSR9Z/8GbC/1nJqacph6RSIRqKpK4wfZKgp/8TYqaw0ECxUs1KuQLR0SLFR9UQSNNnzBSZ4VevTo0YdkDuTEW9Vozcy3qAgU9ABPTwHPzJIiYr+7crVaDW+88QZKpdKQwZHH4xnaZwzuRezXKYtEcQMjX+yaGfWcHRxDYWD5gnvpAlmWxdeUg3BbdANbCx/E6GgvYA6UrKPOPi/LvvX7/QeiimOFnfvZN+wWD8nc+wiFQgGHDx/mBMVuF2vPZPN4PEgmkw/UrmUW26VSaUfL5P3CYEzBfoHNkNklDyzLDtiaE9tJYrAfx8ECxJvNJiYnJ/mgOss3AraqX5Ik8UBuNn/TbDYdNzwj8YNVfybltCMUCnHXtU6n43BCGwSbX6lWqwiHw7uuijGppSRJ6HQ6B7o4DUKSJMzMzGB9fR3FYhGiKMLv9/MNoc/nc2wu+w0Lck9HLxaFIcmQjD7UdgtBU0A1nsDUQhqlcpG/dq+vINrrQQAQKhdhQUDPH8Aj2dvonDuHfv8CNE3DG2+8gSeffPK+HkAJH3V9ACIvZ1LUAWrpRLhYJIFPIcLlU4Af3iVCN+hwaW5yeFGg+bTv3Kau35dP0dzbUnWrag2QFPR4nIJ0//Ai8NFF4BOHd55jY7AsynHySFu/IwrAoRhtpn5wF+hbw/JI+7H2DJJL/sEF4HPHgOc3Z9myTeBumSSSgkAyx5pG+Xq5JnBuklxBBzuaAQ8RyvMZ6lzqJh2n22fyKVSt3w4hlTqXsyHgp396AWatg64vAG+7CYPsQyDBgBjwoeuZQHppCZVOF7dNL449fwgrq9Q9DgaDqFar+MEPfoBjx47xIkOpVOLrkqZpyGQy3MnODUxxwGaAATI1sRc2NjY2kE6nIUkSr84PQvIIEJ6NoeBVEH93Gf2eDkxQd8mjdVE7Oo0Thxe4bJLN/DF0l0oIahrkO6sof8NA9POPILBpBDNI6ILB4MiAb7Ye2Z0kByXydmjNLnJ/8w6Q1aBUWpjQuuh7FAimCTUVcL0H+/2+Y5OsKAokSeIbN0beRm2kvV4vD6QHSBLptj6y78w0zaHqfiKRgM/n48TUTvJYMLxX8aL4V9fgyTVh1RuY7jQhw4AgALrqQVfyQPMHEHpkAafOnsXhw4fHUnj9u4LbFerE3anQvf/po8BTU9S53+/9uGmauHv3LlZWVtBoNFydanu93sjCAEBu0oZhoFQqud7vdvWJPSbALTajXC4PdX7ZSMr9Wu2zQotbZ/6gwIosB/WeLM/Yvh+0Y3Jy8r7P127BiPZBj6U8JHPvI3S7Xd61Ynb3rPtgz2SzzyJIkoREIrFn21pW9Rx0WDpIbBdTsJ9gmWWWZTkqxp1Ohz9c9zOk3A62idM0jXcE7blt9kqaYRj8Ic+IealUGlq8maslQFV5dg4HwUgcqzqNInJs3oI9kNgDZLcLG7NLr1arYyVzAG3MWJU7n8/znD1ga7Fkm8vrd2/RL2kaJGNr+FvtdACvglA4CAgkidrY2IBZ7cKQJDRSaYSKeQiwEFtbwSHxVbReeAy9toZIJIJisYj19fU9kznLAm6VySwlpFIX60qBrLO1PnWv7A6NHgn40kn6uYpGWUqPT25tVLKbz/L5CP2uIgI/W6HO2YkEEbujA8RKEmme5G6F/mtYROh2U8HOt0m6GXd5JqUDJL88laTXngs7jVFWN9VDh6P0s5km8KfvUgfuc8epY1gfMDKIeInAXilsVt7bNEc4CFmkY5qL0Ge+Waafs88xFtt0bo/tQuUiiTSHV0pX0PGIsKp9WBagbz4uFRiYuHkVhqxAMnUk81ngVeA1KYSJaREeidYXttawGToWjs6PW5bh9/tRrVYds76MOHQ6Hb7pY0SOzdcyIufxeNDr9UYSE3tBR5QFeJ8Ioug/gvjFZQjrWRipOExRBKZ8WFlZ4RvKfr+PlZUVzM3NwdBNSPdy0INB6OEgAivrqH3ThPmFMwilt1wagS3XWztM00ShUBiSfzHrfju63S4s00KvZuHqpSvw3ysiWKkj0G6gND2LfiyE+L27KMYnED+01drdziXSvtZtB1ZcGzSNciNyvV5vZJ5cNBpFuVx2bB4VRYGqqnwD7vF4oNVFqNk2wtUy/L02YCMgpqygFYhC9/uhzoX/TjhWso87rsOsd4FTKeCDs7Quxg5or7yysoJr165xEmffM6RSKfj9/pHddTtBGzQxYvcuQGqdUYZGsVhsqCDMIAgC0un0vhAFJv0eV5fMPq+6n9f2dtJte1FsHPl5wNZM4EFLVx+SufcZ8vm8qymJPZNN13WUSiVOGOwP8u1mswbBFpNxOT4Cu4sp2C8IgsA7XqFQCIFAwDWkfC+a8p3AwmVZyO8g2bEbuvT7fRQKhSGpTz6fd9hb27/LlZUVhxEKC/JlsG8WFxcXkclkhjYyhmFgYmICvV6Pz+IBWw8bpvMfdQ2pqopisQhJkg48omDU+7P5k2w2y8+T/YEmCALUeQXlk7NIXl2GaQkQBQvFxSMILq9BtWizFgqFIEkS8vk85EoHhiSjl5pAqEj3lAAL6Bvo3L6IZrjJHcCYDBYADyHf6TzUu0RKQh7qpJ1Nk+zwRon2cV8+NeweWdXo9wDqtr2+DjwzQ90sFjDOCGBIBQ5JwIUsvU9Vc3ejZFvMoAf4yxtEdH7t5M7mILfL9JqTLgqcjk6E6lePU+bTK2vUbZwI0OZuY1NplA5szbLVNHKnzDSoW+mThzeCqkwEcGnTfvxOhWRVdvLZ3+zGfewQvf7XrxE5nA2RxNKyiOS9uDDc3RyFer2OwIyC/hdOo/rX1+DPVaFubvBr6UlECllIfR0QgH4wAFH14GL8GcyINTwpXUWtVuMkTpZl3L59G6FQCJqmodfrIRQKwePxwOPx8I6yIAiYnp7G4uIiLMvCtWvXsL6+7tiURCIReL1eXrn3+/1Ip9MON0x7l4zJoTVNg9/vh8/nQ0WuoBo4gtAvlhFcXkcrmYCSphNj31Caponl5WWEjAQ89SZ68SigyGhPT8K3nkXjz/swP/8oIjN+vhG0z9EOZrYxMIOSQfT7fSy9uw7h7RJCmTLUTgc9VUW0XYEgAFOZJfo5S4LhkxFJBR15lAyD0nO7aRJzowSIGDMFDEBrN4uXcQPL8hskpbFYDOFwmJ/zwU3kwsICGo0GL8jFYjEcPnwY2XcqyAFQza6DyAGA2m4h2tLQPHYIZ86eeV8TOdOiteGVVbrfvnxqPO/7W2fpvXd7T98P2H1YLBa5AsQuDR5F6AGS7rsRtImJCfh8Pui6jo2NDX5djYLba7Axi/0Cuwe8Xu/YrjVWeNmPzLVRclPAGbtQq9XQ6XR2jLfaL9j3Ywc9E/iQzL3P0Ol0dtwgK4rCpZFsLotV/OyzWTu58CSTSWxsbKBYLDo2pweJvcYUPChisRjq9TrPf2OEuNvt8gW62+3yDcF+SFij0Sh3C92ucyXLMreptc9btNttvoAzR0zWjQqFQvB6vTx2oVqt8iDfQSwtLTkq30wCCmzZDzMSMjs7i1wuh16vx3X+giBgampq6FwIggBJkiCKIrrd7oHLFNzg8/m44Qwjo4PzCqIswPNUBAVjHtLVewh2m+irXnS8fpSOzYGJi/1+P5KJJHL6BmRdR1+zkV8LCFcL0O5eRfu4H/1+H5ZlcVnVxYsX0e12EY1G8eyzz2573240qGuW2FSUBD3AYxMktwx5yH1tEGt1IjofmKaMtZZO0QBP225Xu5Obd5P8XMoSabtWoOo1Q2tzHxJRSdLolambV+kAv3HGPbuNIeYl+eOtMs212Ttf5Q6ZmjySIpI6FQK+e4u6dPZAdfvpYZ23X6zTuah1yXRl8BSWNSJpXz5JUtKbJZo9DGzWXkptkq+eTNLr/IsngL+6Aby8Suc7ogJ+2RljsBPYJkuTNRifXkT7pwWEM0WonQ7asTj6Ph8SK/dgyApqs/MofuKzSESn4e2Z8JoSVFXla2qr1UK328Xp06chSRLK5TJ3U8xms1AUBel0eshq/umnn8bMzAwuXrzIZULr6+sOwlStVtHtdh1V/uXlZYfTJEMgEMCJEyewtLQEc9JEZSqB1t9cgzmfxsz8JPL5PCdBjATquo7c5RVM6TosdfOEyxI6M5PwZbJof/MSzM89ippV4+/B8vHssJtDDa77jUaDP7OMlQ4m7qyhE4/BCHqRXl1yEB1DktEVPGjMp7mklSEUCiESiSCTyThm3ZjxCuBUK7RaLYTDYW5awf7YwQpzg10VOwZn8hiY3NfetYnFYkin0zh79ixufvNriJZy5La7ib6iQO7paPtDKIXTSLz0zPt2Ps4wqWjy85Ut86KXFnb+vf3Cdg7C9wuWPcpGN3K5nMPhcTswh1L2bLUXMtwKpHYCZ5daM+fvQeylUL9XsHtzHM7fDOyevF9S2uv1XGcXAXcDE9bdBA4mtNsNbN0YR8zDQzL3PkIsFoOmaSgUCru+qSRJQjKZRDKZHLJqtjs8umWKsE36djrv/caDxBTc7/vFYjFUKhXHeVVVFTMz5PTQ6/VQLBZ5l5ItxoqiIJlMbhsq6Qb7z+/WJERVVUe8AIPd9ASgQVr762uaxo9XEATMzc3xXCdN0xwLnWVZjlkbgKrviqKg2+1ienqaP8yYTIi99uBcC5vjq1arY5u5HEQgEOAVOcDd6EaUBRz+tUdQqlQgbFhAowVTEuGJOQloMBRE51dOof6XBtJLS7AsoJGegNDRoIsKFC8VWDqdDkRRxPXr17GxsYFms4lut4t2u42f/OQneOmll0Y+bDeatAGyB237FCIwq3UibteLREoYVutUfZZE4NEJIke5FvDmJncPutQccs2t7lu1C7y2Bjw7s7mxrNLfL0a3fv9IlIjiH5wHPn1ktAHK6RTw+08CX7tK3bfZ8FbMQaMHvLi49dk+eojm2/78GoWHAzSvNwhVJqlnbfMyfX0deGLSGV9Q04Bnj9Lc3HyEzF7e3CBymQ6QBPUTh7fORdBDxHQ+AvzVTTqnj006SeV2MAwDS0tL/L6TFAHiR1OoLEcRuLAG/8o6op0aIABSX0c4swbr+9+G+OX/C77wgTnE210EAgHMzc2h2Wzi1VdfhSzLWFxcxKlTp5DP56HrOqrVKtbW1lAoFHgXbxDT09Podru4desWvxftbsf1et3VlXiwmi8IAjeJ+tjHPsa7V42vfhKBsB/5fA6XL19Gv99HsVhEp9PB1NQUqtUq9EIOZl+H1TcgyJvHKIloT03Cn8mj+xcX0Xl6Cr5peUhuFovFUKvVHB0MQRDQ7/cd3UQGT7aBgNZCNOOUkzVjcTRjSQjlGmRdh5CgL9suIx00mwDAQ5CDwSBM0+TPAmBLmjm4UWcB7a1Wy0HkvF4v33TbZ+rssCygKQRRkqax0gngnHwDEbENURQRDAZx6NAhPProowCAzOxJ+OdXEW/kESoV0FV9yM4cgdk30Z6aQeBzH8UTz41/bdV1HZcvXwYAPPbYY0PFYN0g6fPLyyRpNkzqtGv9rXXl7yoKhQLeeOMNCIKARx99FDdv3kQul4MkSUN5rqzwy+7LwXvO7mw56GJoWRbv8C0uLvLrNhaLOdwxWdf3ILtIbP8niuLYQ8L3EqDN5t9KpdLQvcf2wdvJTdl9f9DRXwwsZgrYPph8v/CQzL2PwGQ47Xb7vuRrjLgwjbXd4bHVavEWtKqqSCQS8Hg8fMEZp9RyP2IK9oJIJIJKpYJ2uw3TNIcWLI/Hw6vouq6jWCyi2+1C13WHm1QymdxVF8puhFKv1/dk4c82aIw8Dc6BsPmTUSgUCpiYmOAEy74ZGQy6nZ+f5+6W+Xwei4uLXJoaDofR7/eRy+Wg6zr/XeZQx2yyR+U0jQvhcJjfM6urq9ysgD0svF4vVJ8H8d/9IJb//F2kbi6jGwgimByeMU0txIAvnEH5z3XEszlo/hAsQYZhAmLax6WdzP7d/j00Gg1YloWf/OQnOHv2LO/I2hfxpSrNtQ0i3yLCVmqTK+RXT1NunGWRBNNvq3ccjtH/v1elhkXapai5sdmMeXaGJJe9TXnmU1NbpMn+mqpMeXBvbmwFlj83B9csvKkQ8HuPkzzz5ytAWyeTFY9Ec3p2nEoB/8JP7pW3Su6zNP3Ny0cAyTRLHTrmo3Fy++zo9NpnNruLMR85fc6Ggb+5Q106RaJuoB2iQOYqE0Hg/3ibNqCZxu4ChFutFizLgqqq8Pl8fH0MHpXRSx5B7fUspHsGgr0WRMGCv1ZFLRhHwmvizIQMr3AYb7zxBur1Ok6ePIkXX3yRzvPmtcBk9LOzs1hcXMStW7cwMzPjut53u11cv359KPAXoMLOoJOkIAhIpVIoFov83vT7/TAMg8/n/eAHP8Bzzz2HUCiEcIy6ZFNTU0ilUqjX6zybMpPJwOfzwXg8hXpbQ2h1Hd3ZaQgKbRsESUR7egLejSwCr/agffwQPFHRQZg0TYMsy46C4WDBKhQKIRgMYu3GKnyVOiSYMGQZzUQKsqbBV62ip1nwZItoR4KonJpBaC6AyenUjmHg/X4foii6FsskSUIwGESv1+MS/EQiMWQgo6oq38xbloVQKARFUaBpGu+6Gm0D5lIHGSmJK0eehiGGIShdBKI1JJU6/H4/zp49yzf1rR6wvnAO0u8ehfcP/zUMfx9drx/lD76AM595Ao9NS1yiPG5Uq1WsrKwMbYx1A7iYBX62vLX+TIVoLembdM+Niv3YCyyLXv/lFbqvn9jHpkav10Oz2UQkEsGtW7eQy+UQCJCRzpEjR7jihGXUsvsmFAoNdV/j8fiQIkYQBExMTMDr9W5r828vOrBrkq0BjMj5fL6xmJGMOyQc2DJ42SnneLv5t734HrDCDTC+PDu7rHoceEjm3mdgD8IHdXwcdHjsdDooFoswDAPdbndoESoUCrxTddDY75iC3YA5aWaz2W0lpcxgA3DOJvb7fU6KdlMFCofD90XmmCy0VqshFotxqaxpmiiVSq6acCa/YMHadni9XteOH0CVxFAoxIn8YBdRlmXMzMw4FlTDMBwzKqwyPo7oh1Fg5KrRaHATB1ZBZeTbG/Ri7tcewdrXTSjtHiZS7hLf1EIMhU8cRfmHAny5AkxJRnsigbn5SRQKBV5JHLW5Nk0Tr7zyCm2CDQPHjx9HLBaDPxTDUlXYCgHv65BuXocxOY1OnzZ4x+LUifsvl0laeSZNXbbBkO/JIHXnFiNE3HyyexC4IABPTtGcWb4FvLVpqOdG0gSBunlLVTImybaAzx5zn0cJeMjefzJIUsrrRTp2N3OSdAD4n58F/vo2Zb01esC8zW3u7ub+6ESSOm0VjV7vdhnIb3726RCRWAZFojy8uTDwjWv0/w+PeF5aoM5epg/8u/MUHP7U9Pab5HA4jOeeew61Wg1+vx+FQoHHCkhzErqHp1D74zbKeS+i9QoEWUDTG8HZBT/CKlAuN3nx4/Dhw9uuE8FgEI8//rjrv62srODmzZsju29spo3B7/dDlmUsLCxAFEW+XnW7XciyzEmK1+vF3bt3ce7cOcfrybKMeDyOD3/4w3jllVeQy+XQ7/fhTYpQP3sa9b++gcjaBrTpSQgqFf4EUUDXQxd1ajaBZmfYhGQn5QfrqPUqJsIdDRABmICnXEXH40czPoHmVBzGYgSeGQUBjwAT+tAzbHZ2lisS7LAsCz6fj8/MMbDuZDqd5pvrQSI3Pz+P9fV13n1nEQUnTpzAxYuXUCkasG7UEb5XgLfVhidcRecDn4AUiUI3gc89FUZYFYaugWyL7vGWEUD/K7+HU9d/hoWjcXz+y48iGHzv1lKAniePPfYYEomEo/C5Wge+9i4Ve2bDzrWh1aOOuFt+5m5hWTQH/LNlIo3FNhV0RiGbzWJlZQULCwsIBALcZGb4den5dfHiRe4zEAwGeR6jrusIhUL8eZhMJjE9PY2pqSkcP36cd8UHC5d26S0bh7DvZZhs0i4jHPUcFwRhyLF6HFJA+2cap1MqW8/ciuODo0N2hEIhRKPRPe83GHkc5Zp7EGBrit3j4CDxkMy9z8C6SK1WiweT7gd8Ph/X3rtpjVl44n6HJY7CQcUUjAJz0uz1ersmH/bZRHsgp2EYXA/P3NsG3URFUeREZy9dT0EQuJSn0WhwMi6KIjdOGRz6t89JAnA1l2GdwnA4jFAoxH+fLTiCICCbzTrsyO3HxDL9er0ecrkc73yZponV1VWoqopAIMA3lONGIpGAaZpotVpYWVnhn9++ifKHvFBeSEOSRXh9o7+P1Nl5FCMh1L/1LpKrGyjG5qCqKt+U2s/9YFA8ixCpVquwLIvLif2hKBLiWbzbicKvSEhdexuz3/ozdENhxJ/9KsrzxyEIJAXMNsnE43yGzE/c5thUCXh8CjipAz9dBrp9IBWgTRVAxIjhSAwIe8jKW4D7BokZlByK0ibt+7eJAP76aSDh8vOSSFLKyU0p5dMzTvmoHV4Z+OIJIl9/eYO6jWzmrtRxHm/MS/OAb26Qu2XXAD4+wm3zdIpm+BRp9HtfztNrnE7SZvQ/v0NmKp895uxODoJd7wB9x6dPn+b/trS0hGu/Y6D9xgYq51dg9AxsPPYMXtzsDsbjcXzwgx+EaZr37TJnmiauXbvGZ3YG5dGjjvnUqVOIRCK4c+cO/3t7XhpA98R2VXiv14sXX3wRN27cwPr6OjY2NuBNyJC/9Agq376O2HoWnck0RB99aUpHQ/34HMzm8NzYIAkNBoMIBAKo1WpDkrW7wQSQbkHJ9tGTFXRDfvhiHviePwZfmhQk27kvD8o25+bmeGEsGo1y2SQDM4axzwoOgknnfD4fgsEg/H4/zp07h59eL+O7hQVM3rmLp8+/BlXXUD58BPVPfhbpqQRWanS9pyN+18JBQCFJ4skkcG5iAjO/+dX3pAvnBlEUuQkPOy+CIGCjQevL8cRwMaTRo3XFzel2N1jZJHEXsvQe6QDJNudc9sHtdhuZTAbvvvsums0mn5v2er34xCc+wX/Osix0u11cunQJ2WwWjUYDhmEgHo+jUCg4CFWlUkGn00E2m+Xz2JIkQZIknDlzBu12G+VyGaIowufzodls8nuKEQzH+bDNg23ntMrm3S3LctwrbC79oMH2MeOclWPPUfueaK/zb3uB3eRoXE6djMiP01DmIZl7H4J150ql0oFUZzweD3+YG4bh2CSUy2VeIXKbs9svjCumwA4mk9vY2NjzULksy1wSYM+KMU2TyymYxIkRu3Q6jUwms+euZyqV4plUbgYqiqJgcXERgDNUnMGewcYQiUQcnUL2sGZSXF3Xd+VO6fF4MDc3N2SVzMwDBquLXq+Xk7yDfjilUikYhgFN0xwW4HYIkgVREnacDUjOk+Qy+wMVwox/qLvAqvqs6joofU2n08jlcvzvdV3HJH6CmnACpasqjv/ge/A2avCXS3hC+yYy555G9KdLkDtt+KfnkDv2GG4YC+jU25BuXoS4uABzmoh23yQydTQOnEyQ9PC7twCttpVhNzgflgoQcZoKEVnMt5wSTRYdwKRdXpk2VuUOBXwfG9FcPp2i49jJjEAQqCM2FQT+7BpwNb9FEtWB35VF4LlZMnGJ+0gqOQqRbVTPbR24mCEZKCPKVQ34wR1gvQ58+bT7ZtEO5oRpz+vrdDroaB0c/sIT8H3uJfzo7SZCx8/giO0cPai0xjAMyLLMJYqZTGZIUhkMBvkapCgKPB4PFEXB2tqaw3HP5/PB6/Wi3++j0WiQbCyWwnKVzonb7c668owUMom19cIkyq+IiK9k0JlIQfB4IFiAObm11ni9Xui67hqNwmTdqVSKyx8lSUKxWEQ1MoHSh+bge7MDa8YP63gEyZlJvPjiiygWi7hy5QoAImFunXHAaffOnmuqqnLHQLffEwQB3W6Xd91Zt0KWZQSDQSiKAsuy4PF48Oyzz8Lr9eFGz49GQMe5/jswIwHkZk+h9uyH0T9D3c62TvfFqKV0Mgj8L8++NzLK7WBZFnK5HK5evQrDMCAIAhKJBB5//HEs1+h43Y65pQPPbfN5R2G9TnLKtzYl3hNBcqGtdckUyi6L7na7ePXVV9FqtaAoCn/WsK7L9PQ0Wq0WN7x58803oes6Go2Go8sz+Ixin9veLQqFQtB1Ha1WCz6fD61WC5FIhF8niqLw69tNeeM23mIH2yuMkgmPw5COkV0Ae462ehCwZ2IgEMDKyorr/Nv9xG2NAjvH45JX2t9zXHtb4CGZe1+CdeeazebI8NX9giRJDhleKBTiVSX7QqQoChKJxL46F44zpgDY6tIYhrFrYxI3sDwi9lrMEnfQYpjdyLqu70lOyoK5e70e2u32toua3+/nxMxe/WPH4fF4kE6nhyIT/H6/Q4rLKpOVSmVXix7LzguHw1hbW+MdRdM0HRVGTdOgadqQfInJnvab5E1MTGBjY8OxmbXDPk+3ExKzETQ/St8hk3SxgHd7qKsboRvsyLD7aFG8hMl2EFK9AUHTYULA9MY9RM0mgo0KxH4f/Tu3kHjnAmJKAp6uhlCzAiHsQ/W556G9+DHUNzc6s2EidZ88TKTnz6+6z8TZ8eQk4JGB790mSeWgeyT7314ZOBEH7laBP7xAZO6fPu4u0dyLq9xMeNNt8iZV4oHRRDGikpT0ifv0gLheJKmWXf4Z9dK5uVYE/v9vAh+cA37lqHuEAwD8ZAn4/h3gpUXqRHok4OTJk0in0zxe4NA5IqCjXuN+oCgKjh49inq9jl6vh36/z4kcK0RomsbNpFiB6bXXXuPGTcwx0+fz4cknn0Qmk0E2m8Xk5CT+dknAD+5S1/NTR9w7nyy3ksEwDCh+Af0Pp1F6TUT87jp01YuuV4WcpguOdRQ0TeOdLLcNa6/Xc+ToAcBjntvoRiXgE9MQAIiCwE1H5ufnEQgEcOXKFVSrVTQaDQcxm52dxdramquk0+v1OhwnmRkJI2rtdhuapmF6eprL4Hq9HhRF4TNWrEvT7/dR7wGVvhfHprzQf+3LWC69CGNmDsLm98JcLKd2mB97vxE5gCI53nrrLZTLZV5IEAQBhgncKdO6Y0fPAK7kqTMe2+PWINcE/u15klNPBElOzc5JvUvrm/01L126hFwuB03TIAgCV/ew7iEzG2KZjmzOyr7e23PfBsGKvV6vF5cvX0an04Fpmtw8yE3qzHJkGXRdd3U+ZTJMNqYwuFdgHb9WqwWv1zsWySO7H8bVrWJ7FPZstncqvV4v4vH4vvs22Pcj45I72q+3cY6fPCRz71MwWdxBdecGwfLKGo0G7/p0Oh2USiVuUW1fpPZDjjnumAIA3OJ/bW2Nf84HgT03zjRNlMtlXgW0b+7z+TzS6fSuz9fk5CRWVla4MclOEAQBkUgEwWDQ0Wnt9XpcfsQMdtxeMxqN8qp5LBbb9XHKsozp6WlkMhm0221MTU05hpoNw0Cr1eIbJoZOp8OvLzsYwfP7/fflrMWyutjGd3V1FXNzc/zz2CvvO4FtDBVF4Q8gVgCwLMvxEGS5NewBbTeascMy+/Ama5CTEipCEqYhINyoIJHbkogpvS7UZhOWtwmf1oJgWbDqAH76U2hry1j6zO9iPtyHpPcANQhBIGli1Av8ydsWbpaBniE4SJZuENk4HCfJ4USA5JE3y0Byk3cmByRSkkjzbReyVDUPX6Ucue3kibuBXyGTl9UadQuvFIBH086cO9MieeQTU/e/6b2QIVnpoASTmbW8vk6bxlKHYg9CA+M2hklzhsUO8M3rNM/zayeBVEBwuNOpB/QUnZ+fh67rePfdd1GpVBCJRLjrJSNJ7LqcnZ3lm9RQKIQzZ87gxIkTqFQqiMVimJycxNTUFHRdhyAp+KtXqYv77ZtAowt88eTwfKSiKPD7/UObWMUnov98EkVJQvrmMkpzU1AC9CXZJU1sPXGD/f5gQeii2YP9ElRV1SH7TiQSeO655/DKK68gEAjwTmOr1eIFJRbbYofX60W9XocgCDxyQZZlPP744zh//jwqlQpmZmZw9uxZ6LqOd955B51OB36/H6qqwjRNRCIRnD59Gn6/H9eLdD8sRgBIAZj+AE9PaOlETvzKg82PvVdgpmiRSAT1eh3RaBTT09M8t5IFc7d6wDs2jp7wAZN7ND9ZqQPFFs3LDhaJ2rpTzmkYhiPMnZnQ2KFpGur1OmRZHirmMXO4UUSOyR3ZaESz2USlUtnxWTE1NQXLslAul4ecVFVVRTqddmzo19fXuarD/lxhM/bA+AwzmKrmIE1WDMPgxZdBBINBxGKxAyU8bM86zg4Zk64+iMs3k526Gb+MwkMy9z4FI3Pj6M4B9MBjVV4mVfD5fPxh2u/3US6XeSXVLse835uSyVqYTe84qlH2Aen9dvBk83PJZBKmaaJSqfBFrNPpcIKRTqd3lBAwm2DTNPd0nCykuN/v8wcJm7uxL6iD3VDWDWTSkr2Qa9b9y+fzyGQymJmZ4aRHkiTujmlHv9/nJM+uk2czZ4NgUk2fz7cjyRMEgUvSTNPE+vo6ZmdnueHO4HXWa/VReqeA8Ik4AnFn7AOwVblkcxZsszr4Hdo3EPaqp9/vd5g1WLDQ/PQxdJdNCO+WEG5UyKnDnqdlCfB3mvBAhwALXXgQzucg6DpOFv8Nql/4IH5Wz+PIkSM4ceIEAGDW18Hp1i9Q0+dxq7SIhajI7fprXep0sU7cY5Mkc/xvV4B3NqMD3Kz7mfxSlYAf3iOJ5ldP79x1AEiiqRvuMkmtT8ekiETa3slTZX4hsnW8YZU2eveDOxWazSt2gFkdW8YzAyi0gVdWgEIL+LVTNF9of42VGnX2BADnN6ib8MWT5LJ30J0VQRBw9OhRWJaFO3fuwO/349ixY1AUBcFgkEvONE3D2toav+YDgQBmZ2chy/LQhkJRFNyp0Pe4GCXJ7t8uEbH79UecRjqTk5N45pln8NZbb/H4BIA2m/1+H5XngEzECzGtIhamDj9z/90NmDpgkPAFg0EuCx2c7XvllVdQKBTg8XjQ6XQcawcLVJdlmZNQTdOgqiomJyfRarVQqVQgyzLvrDJ33qeffpqvUel0mhtQuT3TNhrOiBHdoOusphGxn4+Sc+x2mY3vV/h8Pnz84x/HrVu3UKlUMDs7i+npaZzPEMHyKzSHakfKD0R97tEj22G5CkAYJnKGSffb/OYjI5vN4vLlyw55ZL1e52SEgV0L9nWYdWzdDEbsqFar8Hg8iMfjUFV1W6dmu+OpW7wG29MMXrvs9UzTxOLiomP22r5pH4eNPbvnfD7fvu8t7cZxo7CwsHDge1rmVwDcf5bdXmFZFn/PvarY2u22w4V4r3hI5t7HiEQiqNVqKJfLQzklBwFW3S0UCvxBy8AegMCwXay9ArtXOebU1BQ2NjbGFlMAkAUwG+zfj+6cG0RRRCKRQCKRGBq2Zt0bZmoyyiRhenoaa2trez7O6elpR1dvfn7ekR8nCAJKpRKKxSK8Xi8f9k6lUlhbW7uvTqnP50MikUClUuHkaTtyL8syd+q0Q9d1tNtttFoth2TKbfaASTtZ4cF+vdoJHQtyjcfj3NnOjvpaE54fv4Pau0lYX3wEwSRdu3ZHTEmSoCiKg5QNEmx2fGwDAQwbQDCEwmEsvBjHJVlBpd2AmM9BtXRAACrTc/CtbxrsCLSBVq0euvAgVCnDggB14xbyWhf9fp8P4L/++utAq4DHjAJuaT0slQ9jMuxB0k8bzXMTzly6uTDwL54E/u2b1H1bqg3HCxQ2efV8hExWrhSA0nnqUD06MZrQ6Abwb9+iDeDnT1Douf1nb5cpiuFsGuiZRCg3GvTnmRn6t8cmtnez2w5r9a1jv5SjOZw526WW2eQPMyHqoNytAP/+LeDTR4EXFkh2eDlPMjLWiTyeoO7cf7wIfOwQ8Ikj7m6f+41jx47hyJEjQ0WMj3zkI7h27RquXbvGnS3ZPM+FCxfw2GOPuRaBbpaITLPPJYvAG+tAUwd+6wzNVzKk02k89dRTuHTpEgzDgGmaUFUV8XgcoriC6jn6Ulk3Y2pqCsViEaqqQtd1V0MDBla0Yd2gRqMBr9fLnydTU1OOTRib8el2uwgGg44NcDgcht/vx+OPP87jA1jncmZmht/z1WqVkzgAPHPPvnYwmeooLFXpnFU6ROIsi87ZB4+SA+2h6P5KbscNQRBw/Phxx9+d36ACS3lzf66IdO+qMl1PR2PDHXDLcnbz7DBM4HppWLYJ0O+EVJJkm6aJt99+e09FAoCegR6PB5ZluYZw2/MJk8kkDMPg+YK5XG6kIQ7bOwzC7ijN1CGDyGaz/HXd3KWB8cUDsDGB/epY2VVcdrB9kN/v58XsycnJsZiCsGf1TvEH+wm2Ju1GurqdMQ6LXdhLBvRDMvc+RjQaRa1WQ6PRQDweP/AbQBRFnnOWz+dH3gR2d0PgweSYbLMxzpgCe2em2+0eeCUslUrxjf7U1BQfyGa6ecuyIMsyUqmU41jsM317mfFjxgLdbpd34Oz5cYZh8GBgTdO4LJN9n6Io3td5CQaD6Pf7aDabWFtbw9zc3J6lkoqijCR5jNCxyiuTdA2SPGb+EggEOKHr9XrIZrNcimVHv6lD7evwr22g9g0T+OJZBNNbAbFs4+fxeBwP82q16li02cIryzKfzWCbTwAOA4tGowGfz4f4nAWzl0LpkoBYNg9ZMtGLRDmZYxAEoHriGKLXb8ESAd3qQIWIdruNmzdvAqAiQbfbBSwLx83zCIoabhYPoajIsGQ/jieH762AQht7gDppr60R8ZJE2ozZocpE9pZrwH96G/jkEeDjh9ydJJdr1P0BgD9+h6rwnz22JaV8Nw+Y2HKifHaGJI19E/jFOnURz03eX/fLMMlQIaJSp+1yHlhr0B/22ZY3VX5zmzEJx+JkF/9nV2mz/okjZJ5in9mRRHLhLLWBv7pFMrGvnNreoGU3eDsLvLIGfOYIcGiEwupeTcRPloCPLG7FMDBzClVVIYoi2n0Rd+oeIF9FYHP29ejRo47X6Zv0fkFbp9KvAEfiwNUC8IcXgd866+zSptNpfPKTn0S/3+cqASZlMwwDHo8Hs7Oz3OTp9u3b8Pv9WF9fR6/Xg67r0HWdz/YNQqvoaMtdyKrA7zl2D9ufB2xeyuPxDFX96/U6wuGwY3O6sLAw9F6Dm6y9rk89gzLQWJfqySng8UlypXxQ+fH7FZYF5NuAYZEr7onk1oylZZEk+lAMvGDo9Qdxoyzi5ytUnPnnjwMLUedrZpt0H9ndL5s9YL1BRPFMsg+rVUWz73HMhjIwWeQgBlUvbL5OkiTMzs5ieXmZ/zsrJjBioygKqtWqa2ePwf6ewWBws6hBJ4NFgPT7fccegz1vBzfmrABaKBTQ7Xbh8/nG0pXbj5DwwRxjOzweD1+XGFgXlc3uHzT6/T5fa+7XUfh+wOTjo6Srg4otO9wUbg/J3N8TsA04Y+/jcOOJx+M812i3BOJB5ZhMtjCumAJga5HOZDIH1p2zg83qsfdj1UDmimkYBifBrDLMXEczmQw2Njb21LmcnJzE8vKya5dNkiRO1DVN45VIVlUSBIG75+2VXEejUfT7fXS7XZ4BtB8EXVEURwEBAJfnMkLHqoKmaY6c17Esa+hhYrZ1AAJa0xMIZHKof9OE9flHXauziqLwa4fl7rl1zUVRHHIfHEQ+n6fcqg+dRH2+gsp3BISzRVgNIqfWwGkTRBH1aBRa0A9PjP5R0zTUajXouu7Y4FqGjqnm2/D66ni9OANvKI7ZYBiA897LNKni/mia5ue0PvDGBnXdGptNlXmbQlYUqPOQa1F23HSQSNcgbpVIPnkqSV3BH9wlMvWVU7SBu1JwEiU297fRIKIVUR2q0z1huUbyyJSfyOMzM0TuDIs+m10Oxi5NQaAOXdgDvLZOv59vAcdcBBGJzdd9a4N+59dO3eeBgjbCP1mm41qtAZ87Djw7Oyw9e3WVcvpul0nmyTqdExMTeOGFF9DpdPDD2zouNRTkjDq+esxwjRnZaFB3ZfCW9EhEaO9UiND9g0fIqdQO5q7J8PTTT2NmZgaJRMKxYWIKjpMnT3I1wPr6Oo9IaLfbKNZa6C9rkJdqCGyUoCcDwCfpeEVRRCQSGbJLZxvtbrc71PEePLaDgiwCH54nwvFI2ukI+/cVxTatEaeTw+6xnT51p6NCA3/z/dexcqOOO/PPoaFOo6UDSb87yV1r0O8GFFpnMk0q6jw+CXxozsTapb/F61kNH/rQhxAOhx0zlrFYbKiAN/hsYGBdj2QyyddiNxk/gCEiF4lEhmSUzPzMreOdyWQgyzJmZ2eH3J7tYF1DADx0nn2GcYAR0r06ZpqmyfMzBxEIBBCLxVzvQeYlAGBsWcbsextnEDp7/no8niFTnHK57KrSicViCIfD+7JHekjm3udgIdL1en1PxhQPAmaGcj8mIbuVYzJ9OrMBZkGa4yJzsixzqcVOjpH7AVVVuUMlMyWwu2L2+30eeMsCyi3L4tUt0zRhmuauK2n2vLparTayUuT1erGwsOD4rhiJsRMRe87STtdgMplEJpOBqqpYXl4+MH08m/PzeDyOoXGmW2czeYPSj0Kh4Og6Ww1ahAVZIkK3kUPzL95G9wMpqInhtpO988ayi9xyeuxST8B5PlmRhsnikkcn0PxHQWz85VUkb1OntJlMoR4LY+LWNQDAxLXLqHgjqEzMYCoW5Q9VN5nG5idDrHMXHxALkJVZzISeGvqJ5Sp1GebCtJFabxCRecfWGHSbj5MFwC/T3NUgDJOkjaz7E/HSzNrNEvDv3iKXulLHOZ/GMB0iMrZaB7626c754sLoHDk3XMlvbhQ391uiAHxgBsg0SEp6c3N05pSLki7gIRfPt3O0UV+q0mccdHu0LJKsnnnAeKbVGr3HiTh91v96hb6DXz22NedX1aiTuRilz/Un7wDZBklCVZmupWAojPw9IJ020DVT+FlLxFQTODGw+Z4NA58+Qm6iLAuN3ZqySITudpk6lP/rB7fvNomi6EoYGbxeL5dxnzhxAn3DwtVMC3/56h0s9Tz48Ft/honsKvqSjPJMCNbma6bTaZw7d25IGXL48GE0Gg3UajX0ej3epWMdBnsW4EFBFKgj/cuEtQZ1zSZdiGt9c7b1rT/7McSfXICv04fxwhRmXpxGoU0RDEmXR+u9ChWObpa3MjNfmCcps97TsQ4Lfr8fwWAQvV7P0ZWzr3eBQGDbPF5d1yEIAjel2A5+vx+JRIJLOgcJ5Hab7k6nw5/vbnN0DPb9FCN87L3H0ZWzd8Z3U/yIcbNCAADbuUlEQVQYLM7bwRQ0O+1J2PkYh/cD4JyZHMc5ZWDF+ImJCe7g7WbEw3KJ9/tcPCRz73Mw+/hGo4FqtToWpyMWdMhkbPc7PDoox2TBm0yu42bhO66YAoCqRHtxjHxQTE1NYXl5GbVaDeFw2NGhtJsV9Ho9FItF6LqOXq8HURRhWRZWVlYwNze3a6MZlldXqVR2rP7Yv6tutzs0o8DcJ+3weDw8BHjwmCYnJ7G6ugqv14uNjQ1MT0+PLTxTEASoqspnexgsy8Ly8jI6nQ4/JgCwqm2Ymw82QZLQnp6EL5NF72cauh9174aKosgJXbvd5lLV3RYF4vE4Go2GQ1ocjAew8BvnsP4fuwjlyxSEW6tu/ZIFiJYFIaIgFotBURRHRALgnOkIBALodrtIoIH5WAutRhW3MxmEw2F+H169oCNR9wIfPAcIImZCQFR1OtW5fWuVzRk8t5y31TrJqOyzVx6JOmLrDZI9VjpAJzjsINnZfPZ5ZSKMX79G8QhfOuF8vVHQ+jT/F3F5hk+FqCt4KUcdtWKbCNkgUWMdhc8cpfDymyUiPfZjzbfp7w4/4HJ8pUDvx16f5eAxo5nJIMUoVDXKLUuKJIf97m0g1wa+eopmktbqRM6mQxICHpoB/KNLFNb+3OwWYRMFkmpGvMDXr1In7nBsqxMoCvSzC5H9kw0WWsDVIvDWhoCVWhAd31kk9Sz8igktGUdd9EE8lER8M6Pz0Ucfde12ezwePP300wBI0latVhGJRHjO3jgMtH4ZsVwFYA3PAXZ0kpwejQH9n99EpNFGLxnHzKOHYSlUJDqdHO4CmxZddxGViiEvzAOHowYkUcCN6zewtraGer2OQCCAn/3sZ67drZ1IHEDEhcVJAPRcCAaDaDQajpk5/nk6Hccc5qCMchTYuMTg9cfm6FZWVmBZ1pAZkT1eY1xdOUZqt5sj63a7PJ5jEOwz7fZZzuIdALhm5h4E2PNvHFl9DPZrye4mDrjLTg8CD8nc3wGwjR9z2BoH5ubmRpqh3C+Y5TwwuuLDulMHbVkLuM+WHSQEQeCuj6urqyMJpMfj4QtRt9tFoVDgD6b19XWYprmrB429ELAXma6qqo6ZhOnpaYiiyDur7AHU6/UcMlrAmeE0NzeH5eVl+Hy+bWcwxwV7p6zX63FyLNZbMBXbUiiJ6CQTUItl9IzR59cupWSL+SCZYw/EYDAIURT5xqTX6zk2Ggyq34OF338ON75zHfF3lhEo0bnNHT+FQGYDPVFFOOHjr6mqqmMgX5Zlfk2za6Rer8Pn8+G1115Ds9mE3++n/L9iE6Hv3MMTvR66l36E3L/4v0HweOCXDDySEPBuiT776+s0G8SiDiyLZq8GZXgMt0rUQfIPPF0EgeITmEPmlQJJIY/aLsvbm0X3YwmSYIVU4K11kgd+4QSZomy3FN0qkayTzfwN/qwFslH/0DyRtJsl6lbZXRwLLZqB+tgh4OkZ4Fs3gNfXqHM2E6LXaPcoBN0tn2230PoUnxBWt44z6gV8MhHeUodI7MUsfR62mY776Gfe3AAqbXKhvFXeIoWCQF3PjQbwp1doNunTR7e6m4JA32fIQ/9+s0Q/r0jUVTVN4JEHFEh0dOBv7hJ5X6rQufPKTPoqAqlpbPz+/4TaWgF1UcL/8KKCQ3OTuyZkqqry9YQZbUTl92d2299lmBblNfo3u9yWRd24XIuuxyMxumeTX/0qOrUSeqfOQvB40Dc3o01cBCGiAPzGI/TaR2MWfvGL17FUr0MURVSrVS6hFATBdSZ6t0oP+/xSOBxGqVSCJEmIxWIIBALcLZzBbtazl+Juq9WCqqrQNA3hcNihoOr1elzpYpf3s/0PQMR0v/PV3GB3WrTLoi3L4k6Kg6MFsiwjmUze15wbC6AHaD85Dti/w4M+p9vFLvj9fsTj8bFIvxkekrm/A2AVpWazOWS6cFCwm6EUCgVXGdmD4KDcMfeKiYkJrKysjC3rjhFjNkC803vas5Y6nQ6fs2IW/iwDKRqNuj7gWCFgrzJdj8fDQ1Q3NjYwNzc3NJfAYiyazSZfRE3THLKN1jQNXq8XhUJhrHkvbhiMLbh7ewnBtsY7cxx9A6Ysw+fWehrxegAVI1jmHLDlcMkcNxVFQalUwsbGxshhcEmWcPJXT+F2RIXx+l3EiwVYENDyBtCXJKROb1UcFUUZKeVk1xeT8MiyzEPcAaBb0OFrthFtldHrNiH+238Nw+OB0mqhIoXh9YVRnT+CjqTiQv9xHE0rSPpJchVQnGHcDKZFXT1ZcN9Y397k/aeT1K0ptOnPU1NEJpqbxeDA5p7er5DhwnIN+N8vEoH8yml36RZAJOxXjwHfu0MSrkNRZ6h5sU0dus8dJ8LxrZubRE0jUmdaQN8ioiYI1D34rbPA4Sh1w26UiHBFvA8usbyQIenn3MCGd9BoRhCIgNrhU6jTebcC/PsLRJwDinMGcCZMXbxv39rM0jvl7C4eTwC/9wTwXy/T5zoco25KxOsk2LuFaZFk9EqeuqPZJnVgjyeA48HhOUArEkWuH8Uzs8Dxw3t/v0qHjvtSjrpHXz1NuYQPsX9g92fIQzOkpQ51s5+apuvl2zeJ+AvqInQs8i5+TaMihRuZA7aur1KpjFwuB1mW+ewvA5slt2MvCo96vQ5JkuDxeLhKRFVV9Ho91wgcNpawF8MMljEniqKraoYVRGdmZvhc+uDM2bjCrBl5jMVi2zop+nw+xOPxB+50s5xdu3vsQYMpiraTfz8IOp0OyuXykHySYX5+/r5NZR4UD8nc3xEkEomxkjlgywyFzR0dVJWBSfwikciQYcSgO+Z+DowCW65pO82W7SdY13Nw478TfD4fn29jYeuCIHDyZFnWkHsoCxOv1Wp7DqBnblulUgmrq6tDC5UoigiFQg75hGVZ6HQ6aDab/GHJKoLMLWxc1+8oMAK2urqKXqcPQ9MghJykWtB1GJKEQHTnB7s9LxEgQsXOFTsHjLSxsFt2TY+SZYqSiOMvHcU6eiiel+Fb3QAEoLE4DZ/fWXEc7O4xsKq2IAh8hpAhFAqhXWtBNPoABKidNhL3bkNXVShdDYoYwJTRBzLvAloPK1dex2tf+OfIRfwIeWi2zW2WzrSIcK03iLgNzpt1Ng814iUHy8t56ii9ldkKWQ4PFFSZ6cqtEhGvYhv4zbPuEkdFAj52mNz1vnkduFEkqWLMR12FRg/4xGEieB6JiNqxOG1Kr5doo5rwAadSzvd/fp4c+b55HbiUpc7eg5pfvLJKZiTFDnUc7Vl47DO/sU6Sx2yT/t0ehcBm3C7n6bibPeoc2uVwcR/NJL26Rt2rf/QoGbgwTIeAf/4EdeguZuj7e3bW3U5+FModmul7K7M5g9kng5Byh8hw3OW1un36Hg2LPsNu0exRJ/FyHrhWILkvO1+e8ewXf6mwWqNOXK1LBZRPHyEiNxemznCzR9fQIGpdWgfC2yjL2u02Op0ORFHkGad2MCLH5OzA7rstlmVxKSUjFfZClh1+vx+pVIrL4/YSA1WtVjlhHCQs9rEEtzgDgLqG45rrYh2kSqUyROJCoRBisdi+EREWMQTs7Xw+CNj5FkVx3/aqrDjtFt7Nurxs1OG9JHLAQzL3vsKobBPgvenOAQ9mhrJXsHwWVs1aWFiAYRioVCp8I2pfiLZzUNoL9jJbth8QRRHxeBzlcplb+O8F7FoIBoND+XHs/FiWhVQqxc9RrVa7rwD6UCiEfr+PWq22K3dKZrwySFI0TePBw5IkjU0/PwqCIGB+fh63yyuwBAFCvQHL7936bHoffa8HgeDudrXs3g0EAmi1WlhZWcHs7KxjXoPB6/VCURRYlrXjjN3MS6dRWJxA7Xs3EV3LwkgM/zx7SKfTaYd8x35sdgvpWCyGSCSC8uEaWqtxCBkgqDUhGX1I7T5gASo2M/bK9KCa7BVhiSLqXZIHvrgw3GkBiGB85iiwGAG+cZ023vMRIhutza4bI2uCQK6ZpTZ10Vj225ERm/vi5t5orUEZdp86Qplwbpv4wzHgXz4FfO828NNl2vTHfMOmJaJA5GU+QkTt7RyRTLeZu9kwdbLOb4w+xt2i3KHPrUpEcC/liLTZN8amRZvhZ2eBjSZwKQNMhoZdQH0yba51k873oZiT9AU8tBHPNt3zz6Je4HfPUfflQoZcGneC1qf3ejtHnbjqZmB2etO98OrmKKfdIKdv0ueudOg4poLARw/tLOnU+lQYeLcAXM5Rdwgg0n0sTu/dN927QG2digBXi8DzsxTo/RC7h3fT5OiZGep62on5nTLdP/Z1QDco4qNnUEfWDYVCAVeuXEGz2eTh8G45cmxzzNbQvTzn7YUre6HNDkmSMD09zUkYm+3a7fuwZy8AR5HUXmwdRDweR7fbRavVgiRJB76P6/f7KJVKB+6kOAhGXsfpJskknQ/qmMnGR9yI/+Cek+UFJpPJ95TIAQ/J3PsKq6ur8Pl8I6sk70V3br/MUHYLj8fD57w2NjYwMzODVCqFVCo1JA2w6+llWR6yyN4t7ne27EHATCgMw0Cn07nvLBR7fpxdxiEIAgqFAgqFAkRR5CTjfmbXYrEYr7QtLy/fF6n3er28MFDfnI846GtpNzjy6BxuFbsIvX4bYiYPczIFQRQh6Dr0WAiKZ29Sk1QqxTuQ27ma6boOSZJ2JT9JLSbg/eqjWHktAmXei2w26ximZ5JWFpzOTGfsWFxc5A+eSqVCphFBEcqvHkH1ZS96S2VEqyUoMGCA1h0ZVBlvxeLoB4P4YPMaLhtJqP0eVm8sYfnXTmLhuPuD81QK+B9DwF/eoNy4gLIV4j3YUUv4gae91BmaCZO8cFAeadgyf4/HSfL19as0K/alk9R9G4RfoX87GqfjuFEi4jDjUkeYDlEe1pUCSSpHwStTl+5BcXWzq/ToBJHcKwX63Jkm8MRmvl65Q8TthQX6LN8NAH+7RN2Q2RD9TN+kGb6PHaYIia+9SzLXmZCzK1LtkKNndIRq2KcA/+AM8PwcfQejYJjA9+9QLEO2Rd3OhI827vZNfX1zdMUrb4ZrtylXMOEDPnKIAqePxIgAukHfzHP7q5sk2St26L3jPrp+7N3eepeuN/Z5Gfm7WticPWxTt3Ay+JDM7RVn0iRdHpwN7faBG+Wtc97R6drVTbo2P3uUokYYLMtCNpvFtWvX0Gw2UavVYBjGENFickU7wWDFqb2oSkqlEgRBwMzMDC9k2jE1NeXoiLEu0l6eSfl8nj9/BUFAp9NBoVAYCihnqiNBENDtdvnnSaVSB0KkdF1HsVh0zI8xsALvQYLJSBVFGVvXke0DFUXZs6Rzu8w8YLTpC+vWMZ+A9xoPydz7EI1Gg1d87PplQRD4pnxckkDgYMxQtkMikUCj0eAZYmzxYZJB9rnt9q/9ft9hPxyNRhEOh3ddLbnf2bIHAcsry+Vy+2LfLwgCYrEYYrEYz3ZpNpt8tg0gKUK9XueGHLtFOp3G+vo6dF3H6urqfQ00K4rC5/AqlQpEURxroKcbBFHA8Y8fwx2PDN/Pb0LO5KFPpqH0+zD8nvv6TqLRKBRF4fIe1/cVBJimuevXVwISQo8GYZomNE3D0tLSkKyDvZbH43FIkwAMbTDYAzc5PQH5N6ex9q3zKNzyIF7YTPMGUDm0iNTSHZiSDEnTMP/n/wVhOQzTsBBuVfGTy2/j6G99BM9+6hwkl5ZP1Av89lkiZt+5tRVO7nPhx4ZJnbOPHiL3xusFCuNmnYCVzRHMI7HNfLUgbSQvZsjo41eP0+ZxsFvIun8TAermNXtELj8wM/yzqkzGIAcN0yKJmirTMYRUyo17Y4M6Gq+vU0xEuQN8cG7rHHzpJBGtv7hOncwjMepSJXzAyQR14P7Z48Bf3ABeXqaO30Rgi/Cd3aGGI4ujQ8sZ1huUGcgcL926on3bpXazRN/Tk1PAo5N0nIMOpvbzslKj7/9iluYJyx0iCE9MjiZ+XYO6R9eL1IF7J0dk3zSBqI/kwPkWdS9HodXbirJ4CCfcTH7WG0C5TefsZomu4yMxKnQ8mt66xy3LgmVZWF9fx6VLl3ghiYEROUVRRs7DDUrVdwuWi2Yncslk0nXjzdbq3RZyDcOApmmcCOxGtmhZFu/WBYPBffUB6Ha73AHbDhZiDgwT2IMAC8UGxusmyb6/3XYC+/2+Q/Flh9frRTwe31bS2+/3OZkbl7nLTnhI5t5HmJ+f5/NbzFmo0+nwljXrPrVaLVQqlbGROTYb1Wg0DsQMxQ1zc3NYXV1FoVCAz+dzJR5er5e31Jkcky3c1WqV32y7Gehlc3vVanVs4eWyLPPzut9uj6IoIplMIplMDkktBh0oZVlGIBBAIBDgRQM3zMzMYGlpCYZhIJfL3dfxejwe7uhZLBaRTqfHmgUzCkdeOIS7Hgnq316HspGFYFowH8CbncU1sNm4wW46I3O7haZp/DutVCrQdR0rKysjH5j2WVAAnNgxQs26huyemPvi08hdWkL5pyKCuQo8vS5Mnx+NZBqhYp6kqJYF2aIikyro0It+rP/r/46/+tbf4uP/r99HMDIsAZVE6izNhSlD7VaZOjWDM1mlDs2gfXSRJJzfvwP8dIkkdPObM2MAuSEy+DbNUdbrwH9+Gyi2gM8edz9/xQ51BiUR+ON3aAP6ueN7mw3bLyxV6U/a9lkkkSIE7lbIKfBilkjaOdstJggkd5sIAP/9XfoMlgV86ugWEfEpwK+fptf+zm3K8/J7iBAe3wfBwa0SzTieTAwb3NS7RKiMzW7dbJgCtk8lR8dKGIaJaz+/gntXMrhx8sNY0/1o90kOm/TTufDJ7kTOMImkySLNUn7nJhG/iNdJNPMtKizMDpC5SodI8eUcfR+/ddY5K/kQo7FcA5o6XbePTwEfnHV28EzTxJ07d/gMPHs+D655Xq8XExMTI5857Of3UlSzd6TYfiASiWzrBM5I5W66OpZlOeznGYHy+XxIJpMjX6PT6fCf3Q9X8k6ng2KxOGQSo6oqEokEPB4PX/fD4fBYnrPsvOwUG7GfYI0Pr9c7skDN9tKlUmnofAF7L/6z5+d21+648ZDMvc/Aum+sG2XP/BjsPm1sbGBqamosFxPrljGHqYN2J5IkCclkEsViESsrKztK+9jPJ5PJoba5nRCLoohEIuHaYWRkrtVqjW0xYue10+mg1+sdiJ2uLMuceOVyuSH9PJuJG3TZYhly9uFu5pzIXJ3uR5Kqqir/bnO5HKampt4XGVGHn53HsiLD/NFVhCpV5+DRNrBXl+3wer28+1qtVtHr9ZBOp/nDZC8P106nw0PSZ2ZmeLGCySndHNEYkWPzmQCtL6NmQiYeW0T78ASy//k8AqUaxPUsQrUCIACtaBzBMpOhWBBgIVXegGGJaF1p41v/9z/E4j94DpOHE5ibm8OdO3egKAoOHz4MQRBwKAb8z886Z9gWIlszXPUuSfzYpv2LJ0ge+a0bRBAAQHJxyBQFkkjeLgPxbcYP38lSx+hoHGh0gZdXaEP6ueNEmPbrVr9d3ooGGIVvXifZoV8Z7gYdjhGJebdA/97sDUcsLEaB/+FJIqXLteE5OEkk2WU6APz3q0QQP3F4dEdst7As6nr5bBEA3T5Z09cHFF1zYeD/8SH3uUrLouzAO1dWUfn//TFQaULo6QhPXkfyn/4+/BEVgkDHDdB1wmBuxhCUNmWbEZUkmbUudS3dbtmaBjwzS/9W1YiQXs6T7LbWpQ6eIrkf60O440gM+JWj1HFdjA7fP3fu3MHVq1dRqVSgKMpQxygYDO5qfpt1eXYrsWw2m45ZtVAohHg8vu37sO7MbqRy9XrdUQj1eDxcWr8dWBYdgG0J306vMSpCwK1gXa1WORkex+hIu93mxzVO2SHb5w0Wl03TRLVadc0pVBQF8Xj8vpRBrAvo9Xrfc2WRHQ/J3PscLPMLGM5m6/V6vPLl9/t5kPBBgc08bZeRtp8IBoOoVqv8c+92QWIzcMxkg+nUu90uTNN0yN/C4TCi0SivyDD3xmw2O7bhXWb6srGxceDnlckcGaFj7pidTgetVsth12yPiGBgEoRyuYx6vQ5Zlu/LWpk9fMrlMp+NHGcmyygsPDmNNY+I0s/uQIgp6Ha7O5IutlFx+zlZlofCxZk19G4DxgHw42CbgGg0Cq/Xyzt/7XZ7pDw4HA7D4/Egm82i1+vx2Tm32Qnd6kH4lRmU76URvLAKreGBavbQmpyGbgjw1epQsFXZlAQT7elJeG/ew93/rYLbnz6G2RNLfBPWaDRw9uxZSJI0PMNWpjkvWaQ/J237NUGguaq5MPAfLhC5aevUjRkkLxWNOi+nRuz3ahrNkTHvmJBK1v8rNeA/XiRnys8c3Z7sdPuUmzYZAJ50kXMCRBT+40WSSn78MElGB2WIrR4dr25ScPJ6Yzg7L7RJ8Fbr1IErdYBPHnZ2pyJe4LFJMiB5dRWIb87W2Y/r7AT9zn9+h+aZyh13Z8ndItMk85mYlzpZGefSgIhK3+2dCvDc3PA5qmpEoN7OUoc2/fWXcXwtC1+3BUsW4S1Z6K7fRv/kIwCoK8c+a7lDf/omfddPTNHnu1UmSenCCJGKZZHctKoB/+kSFQaqGh1b3EeB12UNgDUcEfF+RrvdRj6fx8zMzHtSCJuPjDCcabd5R44VBweJ3F5GCljXZae1kp2P+3mf3UgsNU1zuGoDe5s/Y4Rir7Pi281zBQIBxONxV2LY6/W4MmlhYWHX73e/sJPVccoO2WdkruDbBZ6HQiFEo9EHakTYXaHf69zcQbz3u6eH2DXs2WyDFSh7boogCEgkEnuyvd8N7Brvdru9p83o/WJmZgbLy8t8zut+OleqqnJiNhj0aM9EY0QFACd+43Ao8ng88Hq90DTtvrtde8HExAQ2NjZ4MWBhYcHRDQaoqsUWrmazyStug/bOTLIZDofh9Xp5F283110gEODVs/X1dczOzo4tj2Y7zJ6dRGMhgFK5hEwmg3Q6ve21zh4co67NwXBxdt/u5aEuiiIsyxpyxZyZmcH6+jr6/T6Wl5d51tGgM5vX63Xk0Y16/1qtBlEScfKjx5BfjKP87csI5sowyzX4anSfSHBKpQSvim4oAPR09KDxLng4HEahUMCPfvQjHD9+HIuLi3yGbTZMhO7NdaBnEmlzy62LesmQ5OLmPuqNDSIMdrllqUNdvVHmHleLJKmzZ6dJm/NhVW0rP+6lBSJ2bpfuzRLw17eJBNws0YzeYAThlc2g76iX5tbuVYfNWa4Wqav0+CR9Jq2/NSPHukpMUjodAoIKxSZsNCgnjuXrsS6ZKgEigD+7SuTn88edM4ktnd4vZwL/4TzwD8+Ozv7aCW+sE6FatRW6JYFINCPCrR5l3rHOJIsSuJInQ5JqFxBA56nyyAcxV1+B/+5tSP0+ml4f+nO08TRtjYebJSKK5ybo2jmeICJmWcDPlrcyCe3Q+vQe2SaR43fzgCwR6T0adxYE6hpwbpI6oe8ntHW6Li/niLwyF9Z+v49XX32Vd/sPHz7M12dZlt9T2dfKygreeeedIQLHiqTA7iWT9u7TqN/pdDrI5XIQRdFhpsKM2/byHm7P+n6/7zCyUlWVyzh3u37b58h2o6TaLgNuNxEClmVxxca4lFtMMRYOh8f2DGeGbwBcw+WZa/h+7YPt53UveYfjwkMy93cUwWAQrVYLnU4HqqoiFouhXC6j1+vxQVv7pnE/LPyBrcyXfD6/L6YdO0EQBExNTSGTyWBjY+OB31OSJCQSCSQSCe7QWSqVYFkWNE1zuADuxop/vzAxMcFJayQSOfAFcXp6Gmtra+j3+/xz2iGKIrxeL7xeL8+JYXlxmqah2Ww6HtiDQeEAbSxYTIHH43F9AIVCIT6o7pZl914hFA5BVmTkcjnk83kkEomRcQo7kTmAruPFxUVOotnf7QaWZcHj8bhWG1loeCaTQa/Xw+rqKiYnJ/l3Yz9mdgysM+f2uewzKhNHktD+2Qdx77vXEb++taHJnT6L2N1b8HSJ1CdvX0dNCaJ8aBrReIB3fZksqFqt8mvmzJkzAGgz/juPkrX8X90k6V6nPzwbpfWBywVyZ5RF6vrcLlNn6Mkp6tSJINMF93MH/GSJDEBG2fLfqRDZKHeoa/bxw8Mb+wtZIhgTAeAny8BSDfjCic3AZIGO441NU5PJIJEPZs7yueObIeQg639RIOL23Cy9d35zRm4+Qp9zaVPtPB+m1/YrlOFWaBGhO5Wi171TAZIBeq+aBvzoLv3Mrz+ylYH3zqYq/3iCfv4PLtBM3aN7LCpbFhmTtDZv+UNROheDl3B5MwKiqgGvrTmjBFgnLNPcNG45OQ/h5wa0UAhaOILKsdOoSkGUytS5XIjQ7N0LC3T8g0Hx+RaRNUaqOzp9h/Uekdx0gOIPbhSJwCkuS6plUTFhL1l3BwndoO/p3QLlGZbaNJuWDhCZ6/V6+MlPfoJKpcILgD/84Q+5hb+qqjh58iQ6nQ4nNOPaeDYaDSwvL7t24thmfy+ZY6yz51bcHCRxpmlibm4O6+vrME1zT7JMYFimztw37fN3s7Oz0HUduVxuT+Yl9vDsUV3U7SSBzPRtt8/Fcc/J6brOC7zjkHP2ej1UKhXXuIWDVKix+IxQKHQg4zBucLseRuEhmfs7jImJCSwtLaHb7ULXdS7HZJtjthjaqxYPWq2wm6GMyyhEVVWesZfJZPbNJcme1wa454uwTsagHHO/IQgCl0COS8Y6OzuL5eVlPtC9kzxCEASoqgpVVbn5jmVZ0HUduq6j0+mg3W5zQtDv90eSvEAgwEleJBLh4ZzjJNA7wefzcQksG5x2iwTZDZljmJ6e5mSKEa+dNgaGYUCWZVeraWArn7FWq6FSqTjkQDvl+ZVKJdTrdX5PsQ4ggzeo4sSXz+L2z4PovbGEaKEIo93hRA4ApJ4OWegDCTIz6Ha7yGQyjqDVcrk8NEchidRt+c4t6lj9mzeps3Q2vUUS7laIoMyFiSjFfeQE2TfJlTLmJWfLUZlWN0r0+xWNJHmDm3bLIlkkQB2eb9+kn/vCia1OXr5FnZ2Un5wZjyeAlSrwhxeAFxcp726jQYHZzNSEmbOs1UnmeKdM3ZWbJWdX8UiMfudKgWSfK7axVXYOfApwIk4E9o8uAp8+SmSn0duKWYh46fy8s5n59tXTRACuFogQySIZoCzVgP/0NvC5Y3Tsu50Ty7eJgJ1KundA+yaZrVQ1Oo//7vzoKAHW2ZsIidj4jX8MrVRHJrWIruJHWAdOp+m6OBqnczNqKViu0cybZZFcVZXoWnhpkb6jxSjNXN4quxM5gCILVOn+u5X7AdOi6+RqATif2bT4N4CIx8RUEMi2REx42rhzJ4M7d+6gXC7zZ2Iul+P5naZpwuPxoFarod/vQ5ZlKIqCaDR6oHb0xWIR77zzDprNJl/r2awwAIcaYC+zVGz9sK9hdhJnJ3LsOPaaFce6hXZDkkql4pgft6/R7DPtdt/T7/c56RgkOnbH6UHcbwZctVrl6/c4iBWwlSl3UO6V23UqgYPNy2Not9v8OT+uEHR753E3eEjm/o6DdcpKpRIPIxZFkVvUA+DyvV6vB9M0HV27YDCIaDS6p64dM+1otVojNdv7jWQyiWazyaV/B/Fw8ng8PL9L13W+SAHOztNu3DHvBz6fD5IkwTAM1Ov1+5pF2yvm5+e5/G9jY2PPCzIz5fB4PI7vxLIsGIaBXq+HdruNVqvFHzKjDFfY6zHp5/uB0Hk8HoeJSb/fH6r6MpJ1P0Q/m83yEO9R0HWdd0q3QyQSgdfrdQTwDp5D+2ZnenoaKysr0HUdy8vLiEajPDfJDlEScfzFIygcSiD7NzcQW8nCsERIMJE7fRbB5XvQFB9C07RRU1XVIelUFIUXjwzD4JswgLoQFY3cEdcbRFY+NA98+ghJ964WiBSwjp286fq40aDNfKMHHFfd4w4AIlisM1Rs05/HJrZ+ns1lTQVppi6kUufv371FJiIfWdwKxT6R3DqGw3HqAv317S2jDq3vNDQRBSIJtS7w4yUiFfnWcM5dSCWXyl9sLTdDM2CSSKQo3yZTk4kAkQD71+uVibDdqwJ/eJE+U0XbcrEUBOqoZZvAn12jf/vssdGW/3bcKpFxzJRtL85IyHrD+bM3StQ1dYstsONeFeipswgdAk5GtySUqW0InGXRObhdBn6+QjLUZAD4+ObvLkS2iFvfpBm50ECNRetvdvC6dF7nwu7Zg+NAzwD+/Xm6hlo9uhZmpBaSP/8+gndvohhMYvkjn8WdCxdgdJucGGiaxk2zHK/X6zn+bnp6GqqqotlsHogpRbvdxhtvvOEgUoOxKHbcr8TSrRM3NTWFdrvNnyPs3Oy2azb4HoNzd/F43LEW2p04d7vnGXQ9NAwDpVLJMZvOMCrPbLcY95wcsGVQo6rqvnartgvuZnskAHys4CDxXs0DDs5o7oSHZO7vOERR5MYk6+vrrptgr9fr6NrZ2/l2kwtJkhCPx3eVJTfuLhKwu7iC/YKiKPy8ArSwVyqVkXER++VqxLplrJNx0JJDQRD4xrvX6w0FUj/I68qyzKWWdgLEstIGSR6w9YC1V3MZWAipx+Ph/x0H4ZNlmV97zWYT/X7fcY4GncV2C9b1Y5KRUeedkbndSGZUVXVsppaXlzE7O8uLNaxDz2yYFxcXUSgU0Gq1UK1WIUnSyG5eaj6K8G8/juW/ugr9ZhbRSgmW3kdL8aMTCmD+0Vn+s0zSmc/neceWScR0Xcfp06cxNzeHGyX6/lSZyEpFI6ORexXgk0eo0zQ4mwbQPFnIQ3EDL47Yt+gGcD5LJG02RCSjogGXctTxObJJfICtzoxHou5doU2uk9cKNPcV8Ax3seI+stC/lKV/r2i0OR8kMREVkKMkObRAM3KDZEcUiKS+tqlmXa4RGbF3jASBSNxanT4L+zk78ZNE6vZlmkSU6116Tzsmg4BXA753h2YJv/IIHeMoWBZ9D4pIUtF8i157FJ6YHD4HpkUREmsNIp1pP80snpsAjiW278BZFn2e22VyobxXJVmpKFCX8nPH3bPQNhpE3pOBLQlmo0dkL+Wn8308sX14+UFjtU7d2riPSKUgAOE/+wukL74Jf6OG1ryISO4q/CcE+CJpx7poJ21McmmHJElQFAU//OEPYZomXnjhhX0ndPl8Hq1Wy0F07ESOPcPq9fqeOhpsT6KqKpaWliAIAv/D3qvRaLh2tXYbncTm5gOBAFdLACTVcwv0Zl283Xbl7IStVqs5nMgBWiOTyeS+FKbfizk5pgAD8MB7ht123yzL4tfX5OTkWBoJ7P3G1bgAqOA9SokzCg/J3N8DeL1ehMNh1Ot1LC8vb0uumMySteCZxbyu6zAMw+H0uJ37j528jMsMZa9xBQ8Ku3NjuVzmRHm7uIh4PI5QKHTfiykzrymVSlhbW8P8/Px+fZxt35MROk3TUCgUDlQ+yzLQBkkeI8qDrmQMTM65HSRJ4mSP/dkPQixJkuMcra6uYnZ29oEemvZwbxYE7laMYZEVu/0czHClWCyi1WphbW2Nh+WyIo59U5dKpbhky7KsbR9YqteD4199DMtvLCH7+irCaxsQTBOVE7OQleHHid15l81bmqaJZrOJq1duYP2nTRwKRGB97EUIkoSYl0jaUhX4P96mObpRYc+1LhETexabHbfLwEadLOsFgdwyWz0iJvk2/eHnzHbKBYEkihGV5uBSfurm9M1h0uCRSPJY3uz+nc8QuZoe4MO3y0SqZJFe53yGjF0mbHvryuZrqBIFYa836M8zAwHnTBYKEGHJNSkwnV02gkDnsG/STN/NEhFlu21/1EvH/uoa/e8vn3Y/hwARonuV4XMGkJRxcnN2jhFRRoxMi47PbpgCAIsR4J885m5pz8C6frfLNPe3WicipkpEfLyb5/2ji4AIEzdv3kYul8PTTz/NOzMrmzLMdp9+fiJI0tLjcXrvnQicZRFBfxAH0J1wr0LfJ5Ouist34cusw9+gTXIst4FHlhRoCwuu66IoinyWy96RB2hdZ+ZI8Xgcly5dwpNPPglN0xzPb4/HA8Mw7ktpkkqlEIvFoKoqDMMYUltEIhFe+NwLkWTEya56mJ6eRq/XQz6f5y6PbtjtOskiBuwjKLOzsyN/n/3cbsiXaZqO74sRbbaH2W9L+3HPydnf04347gbdbheVSsW1++bz+RCLxYa6fayYwdycDxr1ep0Xa8ehlGJgHd29ZDo/JHN/TxCPx/lGbS+OiD6fzxG8bXd6bDQa/H/Lssy7dgysWzEuMxSAHgiVSoWHkO5H+OZ2CIfDvIvE5rnscRGGYaBcLvOF3h7IHQwGEYvF9lzNCYVCKJVKME1zbETZTuharRbP4xsnBEGA3+93dIuALSkFm8/rdrvo9Xr8v3YYhoFOp+M6HG2Hnewxy/+drl/7OTIMg8tB7wdsw8CIl92R0t5JA+ihpyjKnq4jQRCQSqXg9/tRKBQ4sWNkeHDD4vV6HfKVnbDwgUXUDyeR+d5NBNZKwIR3W/fXxcVFxyxKs9lE95UlzF/MQJaB9o3zyH/1t2BNTkPWNRxV+/hFNYhTyc1ZtMBWtABAG+1Gj8xKRs1DXc7Tht9OYgIe4NkZMvOodQFZoM6NG1QZiKrUHev2iRTNhJydQtPacl48laTXXa7Rnw9MU6fMssiZECDSVekA10uUtbZapy6dINDfASQ3FAWaDTQtkl8+mqZjZ3luYZXe7xfrFNL9+jp1xBhBKbSpw/jbj1K8wYUsMB10HrtHoj+HdlhCv3dnS6oKkNRyPuIkmOzzBRTqwK24zO0fipJc9dzk9u95KQv84C4RwZZO5jhxH517+yzl6RR9nkajhZs3b9JxtNt8kxfy0Dl6dLP7Nx8efa0wGCYRaEYicy0KEz+z+z0VACL3t8ok8/z4ISooDIKZyqgyYJkmpOV7mPr6f0F0g4KXTUtAz6vCmvQ55o5ZN2d1dRWmaQ5JGiORCJ+b48dTLqPf7+PHP/4xTNPkyol+vw+fz4der4dEIoGnn356T8/xQCCAl156CUtLS7h69arDURKAY1RhNy6OjUbDkeMmSRKmp6f52pfL5RyvEwgEoGkaX7d288yyy+YYpqent5UJ7lbCaVkWSqWSg2gqioJkMnlgJOu9mJOzO0fuxdWzXq+PnAPbqRDOOo+qqrrOru832N4OwFiK6gz2ju5erpmHZO7vEdhGs16vw+/377lyMej0yLp2/X4f/X7fsQCGw2FEIhFuTDIuMxRgS4pYq9UQDAYPPGcnnU5jaWmJPwTs1RJJkpBKpZBKpYakAnYJq6qqSCQSu9aVvxdEWRAE3ilqNBp89vK9QCqVgiRJqNfrvAsmyzKfz9sO/X6fkz32Z1AKyf5+OzBZJ5N0MlnnIPnaC9wCxgVBwOzsLM/uW1tbw8TEBK/eslmL+5F4BAIBqKqKtbW1bQkuc8Hdi+QnnAyi+8l5VHMx+EMCVlZWeAeQvSaw1cVnUpnVVdqstloiou0mvFYPvnYD8h//IQyPB1KvB1MQMfW5f4ZPPjOFfBP48T0DFU3iM1FtnSzwR2XLNbpECmIuBXBBICJwPkMkiUn47PNWAHXjZBH41WPUafvOLeo+lTUiBpK4ZViyGKXuyjMzwFsbRLDe2KAuUH9TgTaxeWpjPiJ6b2wQ2Xx9nTpoDKz798wMkb21OnUTZ0JEcAAiakyayRwxL2Tp/WI+6vY8MUUk6HcfA+I3yNVT6291A8sdMkcZZR4DEOFo6fR7T02NdoRkrpktfcvxEqAu3GSQznnfpO9lO+dIy6JZuJslIoxMejj4M11jK5cwFArhAx/4AFRVdVTPz00Skdtp6dQNIt+3NglcpkHdPEmg72I3EkzLIsJ7qwxcyQG3KkC1Q9fBiYQ7mSt3gNUakGjkkPzGNxBaW4avWgF0E5roQSsQQjsRgZBWhza67XbbEUHCwLpXdjCCNcoZj8kX+/0+2u02FEXZ0/yTLMs4evQo6vU6H+MYxHYky40AMaM1+/OHrZ2WZTlmcu0FqO26f27v4/P5dpUXxtQ32+1xGo3GUB7cQT+734s5OcuyuIJrJ5Jjz/gdxKjumxtYDAeAseX/sudUOp0eq8O2fZ/NjmE3eEjm/h5BEASeO5XNZh/I5p11SVhXiHXC2EI46FI4TjMUe1zBqDnB/QZ7eLTb7ZHmJIIgcBthgB64zAWx2+3yyhLTym83myhJEq+wjjPAXBRFTuhqtRpEUdzWnOMgwa6nSqWCtbW1XQfk2mf1RoHl6NkJ32BXisk6R8l5Bt9zN2DVcrfPEY/HoaoqCoUCcrkcotEot7Nmjpb3A1mWHQQUINmPvdjD7uW9Skla7SaUkMDlz8ViEeVyGXNzc7yqad+QSZKExcVFFAtFlLUCuh4vFK0PuacjsXIPfcUDLRhC2xNAePldaEsr8HcaeKQj465yBrfLSaQDNMc2GxktwfzubZIHVrs06zUoldP6JKP87HGaA/v2TSJ09g5gvkV5eMzW/h+eIQLxnVs0szYb3grOntwkaqIAfGBma67sVnlrZm0xuvX+0qaRy0qNOkHvbqrbjw4QnbkwHfs7OafRiH0m7UiMfuZ6EbhZJgIyFybCClBn8iunydr/2zdp5mwxQh3Cjxyiub9RKLbJiXPQ2p91G4sd+u9UkM6FBSLFU8FhElXVqJPmlifIUO7QOZkKjT6uepe6dfbXGSVH2u6xcLNEM5HX3roH893rWH/0OajxKBJ+YF6h79Ajj77GLIs6oLc2Z/nulOnY5M3rbSpE1+moz3vjXgXR77+M+Y0biC4vQezpaPoD0KIBSAEB+nOnMHsqBdXF3adYLEKWZR5czWa+7NE6ABFdu6Oi++ewYFkW+v0+XnvtNei6jueff37PawFTsDCwgiTgTrIMw0Aul3OQTxa5JAjCUPeFrVF+v58TOXuHaFTGnmVZqFQqrmR2N0RuJ+MT5t47CGYodVB4L+bkgC1jDre4hAftvrmh0+mMnbCyZ5eiKGNRRtlNCrfDH/3RH2FtbQ3/6l/9q6F/e0jm/p5BURQ+c7Wfc2VM651MJnl+VLlcdmyA2cK93azdfuGg4gpGwd61KpfLPOh7O9jJsK7rKJVK0DTNUdkCRufIxGIx1Go1LiccV7aJKIr8QVypVHiV9L0Ay9wrFotYX1/H1NTUvshV7Dl6o2CXdbI/o2b2WDdwp++I/f4oYhYIBODxeLC+vo5qtYpqtYpoNIpOp/NA1UHW/bPHF4RCIV4xZxuo+73GgsEg/H4/VlZWYJqmo2Pp9pqCKED6cBKa2YaW9yNaKcFj6ZD1HrzNBiSzhdPXX0fm6GHoug6vIODFaaA9+Txe2VBQ6wKfn3TPjgOoA1TbLAbfKNEG+8mpLWlgoU3dtmNxIkbzEeAHdyz8+E4fpY6MxaiAZo/MNRiJEQTqdh2KAt++Bfxic0bMJw+ThnRgK0ZBAJGcZo/kkXbMR2gm7+0cde6aXQq2tn+ugELS0NfXiYA2etRNspOrmJc+3/kMSQUTPmeEgCgAHz1EhO7PrpKkUxGdHUE33CgRQWHB5+3NEPJmj/LvZsL0Gq+v0fEMzgoy6AYRw2dntwLG3XC3Sjlx6YEGcVUjcszmBU8lH8yBsqMD//VCF42rd/Hoz/4SieI6FtevIfv7/xOEzfus1gU+NOGU6bI5wDsV4JUV6tI2WMHAT+eJXWPLNSKC6QDd94qicGLwyiuvYOU/v4nDNzcgWwZq4Sjak1EEoiISHz0D3zYnic21sk6a/VkyCPuYhF12GQ6HEYvFHPcpcxiOx+NYX193kLlGo4Hz58/j8OHDI7sxbF651+vB7/c7Zsntm3c38sM2+ZqmQdd1WJY1tOFnihc7YZyenkY+n0e/33cl9GwNZWDPE7eolFFg3bZBF2PDMBydE0VRMDU1xWWvBy0FfC/m5FgBFNgq0m3XfXvQ3De7J8HMzMxYCKuu65z4H9S+crtcQQB8RIJd6/V6HZ/61Kfw+uuv4ytf+Yrr7zwkc38PwXLger0ecrncrqpPe4EgCAgEAlyS1e/3+cAm4Jy1Y1K9B7HcHQV7XME4ZsvYEPbGxgay2ezQbNN2YO6YAN3IlUqFnyO7Tb/f70c8HuevyzqtGxsbY3MNBejBzCz5S6USz+R7L8Ac0fL5PDKZjEOCeJCwxy6MIrP2OY+NjQ2HzNANjMxt93BTFMXhSOnxePbsbDUKkUgEfr8f6+vr/D5l1U63DdR2GMx0Yu6Ygxsot9dtNBqQFAFT/+wFrL2bRemH1xAsVBHotiD1emj4ozCDW1JNy7JQzq0jafwYn06ewHIniJPRIJrN/lBmZr5FJOREgro7b2W2cumOxojQNLvApw5vdbiCHmCudQGnOzVc0Q/hancWMa+FR1IKiI5tIeajOapmD2hvjJYNshiFpSrFAVwtEME6kXCSP1GgbuAzs9QdvLkp+bQHlwsCkb65zbmv60XqDNrJoUciWeE7OcqT+8Y14FePO8nIoxN0DP/tChGjwU6gHUw+ydwk610yEpkKkdPoySQdz+0y8N1bw1LCbp8MRGoaIIpEanYKK79VorMtCiR3ZAHqdojC6BDwndBqtVCr1fDKX1/A3HfeRbKeg69ZhyWK8BXzUM//Ar2nn+OzkMfiRERX6sDtEsld2SxfddO3YdCghkFr9/DIEQ9efvlnaDab8Hq9/Hqu1Wqoxn2IpgIwpoKIPncUM9O7k7S3223Isgxd13lnSpIkpNNp7v5oh9frRSgUcuSAtlqtkRvJarWKO3fuIBgM8nm1O3fuIJ/PIxAIjCRzgUCArwl2whWLxWBZFlqtFo9EYhhcy3O5HI/+4edR04Zs2tmzl3UUAWfRaFDyGAqFEI/HIQgCPz+7nQln55it68zcxG7cwVQj7DgPet78vZiTA7Y6v4MOoAyCICAej+/Lfs+yLEeu30GP07D3ZHOe+93tbLfbqFQqrgVh+7y6m6LuyJEjkCQJ3/jGN/ClL33J9fUfkrm/p5iamsLy8jI6nc6BZcwwyLKMxcVFXpUHaEOq6zpM00SpVOILK3OI3K8uk3227EFkpbuFx+NBKpVCoVDA2trafUk8mbkIm01sNpv8/LTbbf4gZF1WVqEpFotD1cGDhCzLnNAVi0XuQvlewO/386iIXC7H5UXvNVgum6qqyGQyKBaL0DRt5Pe0GzIHbBmjLC8v73uHW1EULCwscAMFVp3fq4yTFSMGZbgspJg9FJeXlx0d1cF8p7kzU9AWY8h94yI6a3VEKmVogQBCHz+HVNzHH+jMsS/caiGs63inGUG328XRo0dx7NgxvqZcLxKBmExuzZVlmyQvvF2hP3Nh4JG0hUajCZ/Ph7t376JUKsLXyuBJKYcN/Tig9ZC940fw6NGha00AbfZ9spMsuWExSh2bi1kiAK+vA49Pbv1evk1dpq+cIsL0zRvAhQyRLmbZ3zdp/upjh4BTKQrD/vkKEUq7pPHG5l455CETkVIH+PXTztnB+QjwL5+i7t92x17RiMR4No1gXlogArcYdbp63ihtGc3YM9xkkYjzU4fp947EnAR1EK0eEd5SByitO/8t5SeCKwjUFXt0l4YkbH29desWdF1HoVBAu92G/rfXMbG+AZ+5WSQxDHjaLaR++kOsPfoESrqMoCLi7XUd378lodCRoBnUJY15qfPZqHYQUS0IhgeWaQKyDGl1Cf63L0LK53CupaMqPImeWHWYevh8PkQiESQ+kYD8mVO7+yA2sNBwgOSl9jXZ3n1j0DQNsVgM8XicS8btiprJyUmoqsrXAdM00e/38fbbb+PmzZt4+umnceTIEVci1+l0oKoqz2hzy08b7NSLooipqamhNVDXdfj9fnQ6HSiKMpT7BmCoWMbWIFZsa7Vajk5lIBBAMpnkz2hWFBslyRyE3fiEhTjbHTvtZJRF7tiP5yDwXszJDRJqu7z1Qbtvo8CumVAoNLZnPbve/H7/A3c7Bw0F7bDHgPX7ff6snJmZcd3DPvPMM/je97637f7rIZn7ewpBEDjRKRaL8Hq99z1zs1vMzc05goJnZmaGNNSapjl0/aMkhrsFM23Zb1npdmAOWo1GY8coiJ0gCAJCoRBf/DVNQ6lU4vNa9gW02WzuOeD9QSHLMu8O5vP5sXXF3MDyEjc2NlAoFGAYxljtgreDqqqOLLp2u425ubmhDcNuyRywRRSB3YfU7hZMNmzvorltBLeDW8wBg6IoWFxcRKlUQqPRQCaTgc/nQzqddmTdMXiDXiz8znNYvZJB5udL6MX9EPQ6wtLwa7P37XQ6kCQJa2trWF1dxdmzZzE5NY3zGQFexdktmQwSIXhzgySPERVYXVnB+TuXEAqFHDIh0ehitnMZAHDlClXbn3rqKUe1faVGHakJqQP/d74PfWISvcefhjDie/LKRCpvlIjsXMySJHE+TDK9zxwho42UDPyTc8ChCPD9O0RcFqMkUUz5aQ4u4AF+4xEigN+5ReT0UJQMO7rG1ueNqNSVrHaA3zjjnNnbTurIEPMCXz1NwdyHYu4h4LpB3bueQSRakYiAPj9HxiqDkQjb4VqRCCTDfJi6gPbvsdQmYrm4QxOr0WhwSTyb72bfr2VakBoGFKMPSxTQSKYRzuegNptoqSE0vvFt5KYP46mLL0PqtBA8dBTKCx+GZyIFod2CmK/C8/Vv4mOtFnw+QDH70IMhtBaPIHHhDfgqZYhaD4WJKeiVJZQFuq9kWcbExMQDbXoty4Isy+h2u66FREYaGclbXl5GNBpFJBJxdMXYmg64hxOzNUFVVbz66qsA6J4+dOgQ75jcvn0brVaLb0jZRjgajcLn83EpJSM/Xq+XG1u5oVwuc/MVe9fHLhEdXGvY5/X5fI7f8Xq9PKjbDnZMu81FYxK/QCDgIKTsnNpfn+1r9mInv1eMa06OZcgNRk0A+9t9GwV2LbH93TigaRon7/fzHbLxo0ql4vosdXM3N02T34fbrQ3f/va3dyykPyRzf48hSRIP977fLtJeYLduZxd1LBZDNBrl+vFer8dDkgGnxFCWZcRisV2FltsRCoVQrVbHFlcAkIyi0+mg3+8jk8nsm0GJ1+vlURH9fh+VSsVRBbPLWX0+H59VOsjvlc0CZDIZ5HK5fZtbux94PB6+ESmXyzBNcyw2xbuBPYuOVaNZrAIDI3O7/b5M04Rpmgc2fxqNRnmgNwAsLS0NHfMosOr+dp8lkUggHA5jfX0dnU5naEM0iJnTE1j2a/CLAnRd5z8fDAYRjUYd1z87BrZBM00TdSGKpaoPKf9wcUgSaebtfAa4VrRwd9WDhZKEQ6E1CJK7xNTn87k+mN/OkdTuUPYW0hd+AUPxYG12HtakbcaiqwH9PhDY2oCeSFA37fKmXG+jQR0nu/xQkYBPHAEWosA3r5FRh2nR/F7As/VZXlwEpsPA16/Sz7Cu14TfBCDCp5C75Z0K8AcX/s/2/jzalrSsD8c/Ne7a83Tme8+5p+kZuulGItAoEJKOoDFKvi5AIxGcohBZEYiiEXR9dUXFlSWuqEggTEkc0QRjf/3FIMEoQrcINN307bn7nnk+ex5rV9Xvj8Pz3nfXrr137aFqn9O8n7XuutM5Z9eu/db7Pp/n+TyfB/h/brs+BsEPJOns6wehbgKQzgaw37V49v7WM97Ebxj2q2ek8GWX+l9joQncvdg75LzRaGBnZwftdhuGYWBjYwM7OzswDINJCwntkoNUvYWjS6sAJKjVKuqqgXo0jramIBar4lvv/zMs7OxARwdx3YL+n7+EZjoLvVZBK5lG4tlnodgWIrIJyXFwuHYjUn/3d9BPT1Azomgu5lG5cRFL6bOqxbT2Z5JY9hulQpWxYrGIw8NDqKoKWZZRq9W6Rr30m+XpRqvVwuHhIWzbRjKZxN7eHsrlMp588knmXhmNRlk1D0CPAUYqlUImkxmYsLUsC47jdPVkRSIRLC4uolqt4vT0tKfaxVcX6f3ouo6lpSXP1+K/3k9ClF8zpJyJRqOYn5/v+fnk+A0gUPUKSe/T6fTUz2A/Jhx+z4ZJUKlU2Dq+fPlyoK9FcByHJTVGec1Op4NisehpkkbjvKLRaF9jHn4g+aRJckHmnuOggL9arWJ7exurq6uBvh5vFFIqlaCqatcmrOs66+EjHT3Njet0Ol0SiVHK92GPKwDOspsbGxts+OW0SSS5ldHYg83NzS6Jmtc8NeqPmDbBi0QiTOZIhjNhGbK4oWkaq4IRiQ97Jl4/SJKE9fV1HBwcoNFoYGtrq+teua3Eh8G27aGDvCcFrROSRm9tbSGbzQ50MXWPehgEqtLxswP51+VRKBQgyWcz8kzTZEFhtVod2htSrVbxF3/3BLZPFtHIpnBLCohsPAvjqccQ37oGpd3GYze8GHedFrBa2UY9moRxeAhFt9C6axE3/cPno91u9ygHXv7yl3cdtLX2WcUrYwCd21+A3dY/h2PbsBeWrnfXVStY+eBvQAKw9z3/AvYNN55J8TodJHQdL7t0RggbX3fVhMejekse+PFvPpNUPn7iPRz95hzw4y8G/vtjZyYk8099Dd/ypU+h/PwXovqa74Qqy7gldzbi4L8+dGb88k+e1zv8fFykDeDtLzkbEzFODxvBss/60VIRDyJXKiJ136fglKqw/tkP4ba5s2C5Uqng8PAQpVIJe3t7qNVq7FkhAscHWaurq7AsC0898Swi9QbsZgttI4JaPo3WlSyUG/NYuGsV8XIb9a88Ds02IUsO5q49DQBIHR3AgQRnfxdtW/v6dctoKxqU0yJa8Shqa3Owbshj7pW3YzUx/YTXyckJotFoTyLEtu2uyhsF5J1Oh/Xr0VnBm3ZQH7g7SeL+2cDZM//EE0+g2Wx2kTX3GURfn06nfTs6lstlxONx9v4WFhbY91H1bVAfnXsenReI8PnxEHD7AJBTeD8SSNUVvxW/ccD3yU0j1hhUfZNlmd1vWleXL18OnMi1Wi1GnNfW1kJz6KTPL51ODyT6FLNSItmNUcz/+ETlNBRGgsx9A4CMQkjDG3Qlg3dDPDk5gaIontkqMtUg6YRlWSiVSkxGxfePAdfnVHk94LMYV8BXIkulEiKRSGBZOXotkg0BZzKLer3OPlvg7JDjG7OB6RE8kq4cHBxgd3fX96iAIKAoStdMPMuyApW3jIrFxUWUy2Xfxij9YFnW2DPm/IKqhZcuXWJ9KoVCAYVCoW8fKj2Xo4ytmJ+fRyKRYNIldy8dcL0HhtZqIpFgQRU/HJk3iOGvKVV/GM+3D/D00Q1I/7c/RbZeQLRZhdZsQrE6uOWogkizjqRdRyOdgV6twDYdFKstXD22EL0rDenrS1qWZZimiWaz2UXmrh4Dh9UzmaSkKGjf9SKoj12FfHwIZXsL6Qf/HmqtimipCFtRYDx+FU3bxvz/9z+gtpoo3nEXqq/5Z3heVsYjR2fywg988cys5B+4KmfpyJnZSsO8XpVzIxsFfuCFZ32Cya/+JdIbm4gVTnFUraD0Pd8HSZaxlj6Tav7p42e/v/H5DjrtBpvdOAncVbJxsF0+u6df52lnow86Zz2G0hP7WHjqGdjRCL55roVb52JwHAf3338/jo+PEYvFUKlUeiqouVwOhmEwck4kRplTcXjrGpylOHI3z+OGtSxkzj50+6+eQKbWgAJXwsI5k+iajgpT09GMx9CJRaAbNsw717D4ojXoidFmu44C27aZGZKmaZ49XASSo8uyjEwm03MmEC5duuQ5y4ofeUBz6qrVKhqNBhzHYb3UXhhVuWHbNur1OqLRaM/38koGSZI8++j8GJE5jsMqfoMqILZt4+joqIugLi0tDXQ9JvdNYPhQ8XExrT65QdW3eDyObDbL7iXffziK2du4sG2bqSyWl5dDm+1Wq9XY3uFFkr0UUgRN08aqqtGepKrq1HwQBJk7Rxgl2z0qiHQUi0VEo9HAZXKKonT1WvnZ4KkplDJCbstbCjCBswpfNpvteogikQji8ThqtVpos9nI8n17exuHh4eBE5xcLgdZllEsFrG3t4fLly93bUCUiSWCA/QneIlEoscJcBhIZnJ0dISdnZ1QNvl+4E1C6vX6VOWu00AqlYKu69jf32fGKKOi0+nAsqxAq6B8hjEWi2FtbQ1bW1usGuxlNkMB5KgZRQqSZFlmhzdVfXnQmiRzJbc7HQ04dx+wMmy8ZMnEC81raMs12C0TSrUBGRZsSEhVCpBhQ5YsxAtf/3kO4OgaFr76DCo7WTT+wQqil1Tm+kd9R3RdK4mzgdQPHQDtJ5/C7X/1KSSO9mEaMUiOg/jpMWSrg/LCMtRWE4sPfA74wl9DtizESwVEqmUknn4Sf/+atwLROO5YAA5qwH/56tmssn96c3dPmywBT159EKenp+yMUBQFL3jBC9gQY00BfuLFJv74ZZdwXD5B/vAQ0a1NVAqnsLM5SLKMuRhwUrdQqFkoFcr4u797ALqu40UvelGoxkpeeLoAVE0gZQEHhbPev6jqIB91cMc/vgVLt70et7zgEuZWsqjVavirv/o7VKtVNh8ymUyyswE4W8e86QhBkiREcgqir7nct0LTrjiQHBv7t70AdtvE4jNPoSPJaETjaMViqM+l4CgK4t9yBcs35qGowc9WBc6CTk3T0Gw2u+TKbqytrbFKA8kfe56Trz9/PJGLx+PI5/MsiOaHdBMsy8Li4mIPkYtEIpifnx/rLKjVakilUiiXyz3Vd0r8JJNJT/dEvz3kRIT6JbK9ZtHl83lffWF0r4Oysef75FZWVkZ2HB5WffOKAfiRF4MqktOCW3IYVhsHkXfg+gB0Slzw+y0PP7LhQTg5OWFkepoyUkHmzhG2trYY0cpms1PN8kiSxLJ1e3t7oTg/kh0/SfNGJTqRSIQF52QBXygUmLaen2NDPTXz8/Oo1WpotVqhjCsArje2HxwcYGdnJ/B7S9IVGqbNEypVVbt6FIHBBI+X5kQiEVbBG3T9ZEF9cnLCpLthDIv3Al8dbbVa2NraClxKPAoMw2Bk38/wcTckSUKn0wn1/hJJJgJ1dHSEQqHQNeeHDqNRr4uCpdXVVebi1Wq1sLGxwZ5Vr2pfMpnsInN8EHrlyhXs7u6yLH4ymUQSgP3jr8TTf/MUWl/eQer4FOrX/794wzoWrj3Fvt9WFEj5LFqxKFL7h2g0FkFHI92D3d1dXL16FSsrK9A0Dd936yXcnjPw+B/9L8SubSHariLhnMCWZMjOGTnO7vZWPJrxBNR2G7HjQ+S2n8LhzXfBUM/65ooNG595VsZmCXjdbWcyS+AsoCXZOgUXsiyj1Wrh1a9+NSP6xWIBS3fmsaPejuNPK4jvHWLhYx+CIjs4ffHLoOzvwVp6AaRbOnikVWM/70tf+hJe8YpXsOHRNI4jTDxxAsgAmtaZ8+VlvYTK1kPIN5tYMRfwwntfyNbe9vY2CoUCe54oc86DV3QkEgmWBNvd3UW73e4r2a2VGojtnkKyHRgb27AUFYcLy5BjMqovWEN+LYm2cpaQWFkPVwlwcnLS0zdG89l4Rzy+Yi1JEiOA/PeoqoqTkxN2HiiKwhIDBN7gKJ/PMwLJn7teRiCjgKqLZITm/j++Dw+43hPH9475AZEZr9fg3aRHfU/8yJignhn+vfp5jVGqb15oNBqs+kn7XdCg5EA0Gg3V1Iy/t8fHx55urLqusyr/pODHdk3biVSQuXOIVqvVpQefNBNAoGpWoVAIzfmRHKyokjNu4E/OfvSguxtPq9VqT7Ac1rgC4GwT4u9t0DJPcgAlQjWIKA8ieNVqlR2YNBibRz+Cl0wmz2Z/nZ5ia2srtPvsBZ7QWZaFa9euhSKz9QtVVdn1EfxKJ2VZDlxm2Q/0uW9tbaHT6WBjY2Oo5MgvKMhcX19n0mE6SL0Ocz5DSokTQrvdZtUCfg3KqoKbX30rKrfMY+dzW0g/tYdksQgLEg5uvxOLj545Vsq2hcVHH8ZpMod6KonkDQlYuO46KkkSrl69it3dXZyensKyLGQyTyEWiyH58jnUqkfoHCtI1cpQHcuz/41gy2ef42F6GSdXbmVz3uJ/9t+x/NTjyL3yXjxhvRCfeHwXr/jWNbz6eQquXr3KAgCqotq2DVVV8eSTT+KWW26Bqqr46le/iv39fThJB+1/sgb5sxswDo+QbFSgNpuInJzi5XPPop29ggKSjNTIsgxZlvHZz34WlmVBVVU2vuKmm25yfQ5nbpxPFc5cOF+1ZqPVrI9c4XfjO24GvvnSmStnJuLg//7fL6Nc2MaR48AyW7j99tuh6zocx2EjNQb1n/ZbpxTg0l7p7oEx62dukYXlBbQupRFbz2Lp1gVEvq5xPTo6AmrBOhZ6wbIsZtufTCaRzWa71jrf58mDN3YgqKqKaDTKjMOA3oHYwPUh3Y7j9FQCp7UPNBoNpFIpVCoVVtnyqpLxxiN0zclk0teao33FMIyur280Gj0J4Xw+P9I6JllgUEYdfvrkxq2+eaHVarF7sry8HEpSh08qTHsmcj/w8+QA9Ny7SV3WvUBO5QA8na4nhSBz5whra2uIx+MwTROFQqFr+jttbJqmMXnhOIshnU6z/oKjo6OebFwQiMfjsCxrqoE/aY3n5ubgOA7LRrkHMm5ubiISiYRSuk+n08zeNgyzGTrMjo+PsbOzM5IpiRfBsyyLVfCGETzqdbRtG8ViEZubmzMndOvr69ja2oJlWdjY2DhXhI4IJ5nYbG1t+QqIJEmCZVkzex/k0EnB1f7+PvuMR539Qwe2O+mQy+WQTqdZtW1rawv5fL6rCkGJmnQ6jWg02lWNo4AK8A6yk5dyuPQdGrb/LorakyfI7B7BVmXAASxdQ0fTEanXEK3W0MnHsHzjJViWha2tLZimiZ2dHWb1TnK1w8PDM0v2aBud71hH++Eimk+eInN8DMNqQZYcmHoEWtv17NSrKF1aQ1WLw9YNzBd3kPz//TXi2xtI7e9A+19/irn0X0M/PMLGXyzh17772/HieRm6riOfz2NnZ4fdx4ODA+zv72N3dxeSJEGWZWZbr8ZltF9zBdqnn8HpiY7c7h4sSUZEMyHpNgteTk9Pkclk8IUvfKHLRU6WZUiSdLZebQe5tdtQMy7ha0fAswctNB9/GmYuieriM1DMMnRdRyQSwYte9KKR+igJa2kgp1TxwOcf6KoWtdttyLKMnZ0d3HDDDQDOAj56JprNZs+e3++5590M3WY8hFhaR+xf3IVUNuEpn6TvCXveZrVahaIoiEajnmZPFPBTRd1LYkqggJK/H+6eH75njN4zKW2mmVgqlUpIp9Psfrpn1bnNUIDrkkm/w7KpykR7g9vkiFwzRz276DpVVQ1EhjioT27S6psXWq1W1+iGMKSOtVotsEoVD8dx0Gg0+g7tDjpG7HQ6LKkyzKhnXAgyd47AD9ymjcft+GiaZlcDsNfsimEgF8ZarYZ4PB7KwZRKpdDpdFAul6deuZIkCdFolFn6u2fb8ZsUMJrj0KhYXFzEtWvXYFlWKEO+SdN/dHSE3d3dicYGKIrSI3cZRPB4aQpwRpxJXz8r8rG6usqkVOeV0JExyv7+/kDXSMdxmJxulqC5QslkEjs7O2yfGrXpmxJSXn0riqJgfX2d3ZuTkxOcnJywSj6tNbpX5C5HZItgmqYnQT45OUH8ZgML93wTnvns00g9soNGzUA1nYM9n4dcLEKqNmDetdp1PTSHr9FoIB6PIxqNolgsotPpXCc+ioQr3303TnZKKH3qK2ic1KBaJhqXL0GxLcw//cT192lZyGxuoL4kYWXnIbQf+SouPfK3Xzc9kZDZ30G7eAq92UC0XEbkUzUUXvc8KPJZ0oYPwCmQo8CUqmwEWZMx969ejac+9yw6X9QRqTVQe/4y3PV7ej98AC9BxtYju2hcKyGyU8bnlwvYevU/R7xZwd1/8mFEj47QWEih+NrL7PPQNA2WZeElL3kJgDPCU6/XWX+joigsMZlOp7vI+tNPP42nn34aR0dHzOiD3svJyQmefPJJZDIZZLNZ3HnnnUgmk3jsscfQ6XR6gjP3806uljzB4YlcKpVCOp0eeh7Q68yiR7hYLCIWi3k+O/znNqiXjsCvIQDsvLAsCycnJz1SM7+9Y6Oi1WohEomw3ke+OtLPCZMCf7/JbN4UhyqMRHyp333cOICXIk4b7j65QWY3kiQhn89PVB1vt9ssRlpcXAzMyIWHaZpdBivTXl9Ehr2kk4QwTNxs22Yy0oWFhcCqnZITpOuGgC/Q4faBD3wAt91228BFTbPUvPpvRimp89a7YfY8kWU7gFBknvv7+wONJ2RZRjabnephxctS3BWGoMC7fE1LAtMPRPCq1apnlssLkUik61fQARGf4Z1lxbAf+ASDruueA2DJbrxerwf6rJBjnZ/MqFtyFY/HMTc35+vZIQODYQSbDj8ijWSOAHjvGW4bcaDbfY2GHFuWxb7/+KEN1D6/BeOgCOnrR2B1Loe1H3spVK17bVK/brPZxMLCQpejLI/l5WXsbO+gudFB7Ku7SJ4WoUg2ko1K9/U6Cg5XVuB87z2w/vejyDx5DfFWDQrs6xJNBygZKTRvnUf7Ff4kXJSMcVdllpeX8ezD27BPTESeF8HK5SU0m00WGNIsr1qthtaxBWu7gehWEdFSBVqrhWirgcriIux4DHq1gmipgKajwV5PonrvTVAUBaqqshlv2WwWjUYDhmGg2WxCls8qi4qioNFooF6vY25uDq94xSvYDLNHHnmkS/LmRiwWQy6Xw/r6OnZ2dlAul1EoFHqkliSVo3ExXomQSCSCTCbTI7sbhr29PbRardDnbHY6HZyenqLZbDKTBoJbKkhIpVLIZrPMyMgd5kUiEXZvMplM16gBHkHuO0dHR0ilUl2J1lwuN7Bnyu8eQiClhhuTjtahXlq+r3+a4EmnF8atvnmBT4iRAiFo8OfI4uLixDPWADC3diL8bpCSifbuMMzb+PfpVkL5Qa1Ww3d+53eiVCoN7SUUZO4cgCdzJCHys1ENKx0Pm9PGW8+GWcHY3t5mpg5hmFXwkprV1VV20Pcrt0/DfIZkWsDoVs3jgj/YgyZ0bliW1VW1GRWSJPUQvkkTDCcnJ2xjn6VJSz/Ytt1jt8+Tzk6ng5OTE5imGVhPBh02uq6PlGF2V7v9BEcUiPkNEN2Bar9rpATR4uJiV/UqFothfn4e5XIZlUqFmSQRbMvGMw9sQvn7LcRPSzh+yY24/du9k2lHR0doNptM1s2rI9yumul0Gmir2P/Lp5F9egeZcgEnN90MBTbmn3oCFT0Bcy2N9A+9Eo4lY+dPvwrjmWNkC8dQZAe2qkJumTicX0L729exfseNXT0xpMZwW8rruo50Os329Hw+31M956+Rz/LPzc2hWqyj9UePIF4oo6NrsJNxzO9uMkMXguXIOJpbhPyGF8KOWL4SOmRvr6oq+xwcx8HR0RGThrqJVzweRyaTYYGmqqqMgNFzrWkaMplM13xSL2SzWSSTyYmSOqOu32mBVDkkjW82mzg6OuohKe5eOq9eN+DsbLAsy/OeUbKi0+lMLcj2As2QpGqtHxJBCUu/e5XX+5/WexqVVPoFn3jiMY3qmxf4RJiXa3FQoPuXTqfHnpnnNsVzg3wMrhtEFVnSIqx4gN5nLBYbq89WkLkLBiJzH/vYx9i/jbNJDGqEBa47X/E/lyoYmqYxmWIYoEVuGEaggzYJhUKB3Rc+I+OWZLoxiSSTD3jD2jz4YapBHsb9UCqVWOM8Tyht20a73Uaz2WSB26jEjyd8hmEgEokMDc74DXyWc/H6wXEc7O3tMckcT4pM08Tx8TFkWQ6sMZwO83EOGyI1VGkfVKUj4qqq6kjE1B2QaZrWY8/tDrLdA4Xp+/rNLqoWG9h6aBv6kgpFlzyrA7wtOtm6E9bW1rqkNLR325aNnT/9ezjXqoifltHMps+mY9s26v/0RiTnz8jm1tYWGnsW4vdvInFSQjOfhVRvoXjTAqIvzQDwJmY0V7Mfkskkkskkk2slEgmk02ns7OwwcsWTuvqzJhY+exWG00a02StNqmZyaCoG4sfH2LnjZkT+4egScjJUUhQFhUKhp+eHqnnDfkar1YKu6+h0Op77SDwe9+3+5we0l4d1XvGgvu9Be6aXXJv2Pqr895Ng8mYPfBIySNJ6cnKCWCyGcrnse2+jZ3CY0oKSBLy8bpoKGbqv8Xh8qp4D7oo/VaODqh7xn3VYCiLgeoV71JhzWPFikJ8EH/+FFYvR+5Rluaei7heCzF0wEJm77777UC6XWYZy0qxPs9nsKzUxDAO5XA66rrNNcpjEYZrgg7RkMunZ1D1tUD8O0L+SQBlDr+Z4SZJYhtfv51KtVpn9f1jVT55EhpltI/CSz1GGZdu2zYjeuIRPluWeCh/fLzOpvCYo8CSYDlZyv4pGo76b/UcFVb8myZD6qdJRADTO8HSv+VK0V1FA4lXlp8qsrutot9tDg1N+fwCuk3+3YYIXEokEqtWqJ1ktn9Sw/ZdPIfvkLmLVKvZeeBNufP0d2NnZYdcGAHkjg9KffhVlJ4VHX3gP7l4vQGl3S+gWFhZwfHzc9VwMkskRaQM4kvl1Yk170eXLl7G1tQXtvmeR29iFDr7PCOhAgYXrwU8jGsPxHevI/6OVriHwXlhYWOgycgDOzp52u83eQyQSQSwW6xkv4Mby8jIKhYIn2ZNlGel0GqlUKpA9luR6Yc7VbFZMFJ4sorp9Avm2CBT97H2RCYqqqgMrRPR/tDZ50J7iTm6RaibIRCBVBXVdRywW86UgoT1mUGBs2zYODg564p1pklI+bpnWec4rpIBwiBVP5MKM+/hzzs/9a7fbKBQKXX2hBL/xGE+SwyJy/GtOsk4Embtg4MlcPB5nG6rfPhY/cByH9RkMQpjBLr8xDjKCmCZ4cjVMiujHAcmPJPP4+JgdpmFJdPgAdJwAelLwAf44WvF+sCyrh/CNs4WRHbuiKFAUpe+f6e9hkHC+ohSLxRCNRpnbW1CHOxGYSdfIsCrduLIkfo/gDVIIRIb6BZ8U/EejUV9rkIwH6HmPRCJscLsX3BWzfnuKbdl4/P6nIT1TgfT8NHJrKczNzXVVS2KxGObm5vHAsxW0bBVX1EN43apLly6hXq+zvTyZTCKdTnf1Da6trWFzcxO25cAsOlBTEm68+Yau97mxscHIXlxLo/1fvoj5kwOUFpegVGqI1Btw0D1pwdR0VDNpNL/reVCjvdURIgj9CJ4kScwpj9aEruuQJKkrCF9cXISmaT29kDyCsA/vh7AklvXTNirXymg/c4TIxgGU0pnktfRtt+J537TWRSRpj3cnEAb1DpG5RT+3zzCqcsViEaqqolKp+O43o/vvRaYty8Le3l6X2Qlh2moMOstTqdTECTZ3kmic0QjjgJf3hxV3Ad3nW7/qqp++t1GUUnzsFVbv/DQT+KOQOeFmeQ5x+fJl1gBLQ6EnhSRJXU6F/TIeu7u7UBQFuVwOsVgs0I1FkiSsrq5ia2sLhUIBqqoGXkVKJBJQFIXZeg/S6kuShFgsxv7ftm2m0QZ65wFSL4j7sJmbm0Oj0YBlWdjf3w9FpqPrOi5duoSdnR0cHx/DcZzQZBTAWRBMw7KLxSLa7fZUZjMpitL1mXjBsqwuOadXZZrmVHkFANOAX5KoKAokSYIkSTAMgz0P9Xod9XodsiwHKg2l9z9ptUGSJCwuLjISX6vVUKvVeoKpUfcTOtSpaphKpZh00DRNVtXql1AplUqIRCK+M8/kkkmBFr921tfXmfEBwTAMRpyAM8MlL7mprMiIXtKAS2cBYL1e75G91et1bG5uYFkBMCBW4d07geuDaKPRKNvPyVn2qc9fQ+pvn0F1OYdybgGpfJy9z/X1dWYQdfzFXSxWazChInZwfP1+wEFpeQVOOgFJlqFf20Llch7RrxM53kgDQI/5CjmhDjKYkmW5R27pRQaH9YAHBVJpBJEQc2wHteMWqtdK6Dx1BH3nEHq9AU2W0I7HIckS6vk0bvymKz2jEugeLS4ueg6/JlCv1bBAlohFkLO+yJ2b+pn8gE+k8vuUaZrY3d3tSubNz8+j2Wyy52Gaa4XuMdB/5psfWJaF7e1tdt2qqmJlZSUUosETOa9B7UGBYh/gjGDzfZ2Digzk4DpOgYH3SgiLyLVaLUbkgnDoHARB5s4p1tbWsLGxgU6ng729vak7Jum6zjZt90Hgbo6elimIFxRFYUH/0dERFEUJ3LgjGo2yfpPDw0PfVQmS8tAG6JZk8oPL3RIAIujNZhPFYnFqlapBIE36zs4OTk5O4DhOaHIK4OyQokC3Xq9PLTExDIqiIB6PeyYGeOcu6iWxLAu2bcOyrIF/tizLdxWQvn5SjGso4xcUKE0r6IlEIrhy5Qqr0u3s7DDiPY68ha8+EdyECzhzf3PLhSzL6nJUHAW6rmN9fb3LROfatWs965cnViRnIyLLV+noPkuShLW1NRweHjK5oOM4uHLlSlefz8rKCjRN6yJ8CwsLkGW5K4F05coVNkSbiBz1we3s7EC+VkK0XoPxdAOHf2ii8e23YvGG65L2paUlnJ6cAtc2EWmdXU87EkF9eRFS7HqlUwLgtFqwZRlYTWB+fr6vhJ8wSNLEf1+/HjlFUWBZ1kQ9J9MAnYVBSJ0r+w00/uhLiJTK0BUF7WQcjUwKUGTYZgdasYT2TfM9RM5xHLa/uAkNcKaGoN5EP+D3qyD7rKvVKntO/N5PesbI9MQt6wau94fzscu0B7tT60AulxsrSHerF4Bw+7gdx2FEjtxOw3pdqvjOzc2h3W7j8PBw5L63UcC7WYfV3kKxOnAmCZ+GHNtrjmA/CJnlOYBbZkngJUbjuuGMCnfm2QuTZEv6gd+gw5J68oH9pHKDQYPLgbMgN51OswMhTHMS3rEqTFkFwW1iMevZb8NcJKcFsgTvRwzp7/y/98M0ZD1eIEl3ELIqr/mOo/bG+pG38X0YwPUAqVQqodlsMiv6cWHbdtewbqDXXAS4vq55aY+qqrh06RJzqOP3NupXJEMVSry43y//86LRKNLpdBehW1lZYdb1wNkzHolEsPn4LhJ//hRsVYWUiCKye4BaLgPn1Tdj/e7rxgPbj+5D+ZOvwI5FIWW8kz1Ox4JycIR2LArzn62z/i3C/Pw8U3L0+8xsy8bpbhknzxzDPqjDWY4itno9kFUUBalUivW9kUtp2M68PNwy32lj5zObiP/NV1G7vAJJdo0mOTyBJEtI/vDLkcrH2PXwM8F4kNx2nCCSegKDvNekNIrFYkgkEr4cnnnp5+LiYk/F1u0UTWtv2ucrf2aMsw54Iy4gfHMyfh0nEonA59/y8Op5JozjQzAM/DiqsGINfn1M4lPgNuRrNBp429veJmSWFx3UM7exsYF6vY6Tk5PAjUKSySRUVWWbZj6fh2EYKJVKLKAgCRihn7xwFEQiEbZZ7+7uhtKoqmkaqwqS/fO4AbPX4HK3JJO3Mz84OAgtSFFVtUvOatt2aFk54Lqka2dnB6ZpYmNjY6az32RZxvr6OhsuTpK0aWdIST45iVSSCBENW572fQtKZgpcr9JREFGpVNBoNHDp0iVfByyRp2H7ChlfkPRyZ2cHmqah0+nAMIyJ5cWyLGN1dbWr56NSqTBnw/39fWiaxt7T3NwcMpkMI8p8IoNPUtEYmoODg64qo3sP4n9eo9Ho6kus1Wo95iy053Q2m4jU62heuQxJltFavYTozj7af3EVj502cMurngdZkVF69AiLrTZaS93OfHazDblcgdZoQHKAlhFBdX0OMV3q27viliQWD6s4euoI5n4Nxl4JRqmKXLMFvd3C7otuQfaF631HBtD7nBWRAwYPup8UZtOC/Og2zFish8g5jgOjXsfx86/gUj6GdruN4+Pjnkx9PyOTUcAnkoK8141Ggw2S9xvH8KSVJ3JeCV+qoCuKMnWixBuKjQL3eJVp9o/7hbsoEDSRG2QiB5wlJtPpdCDxHTlIAuEROb7imU6nRyZyVATwqsKNMtJKVObOAfpV5gj8wziJ69wo4IMLd1VgkMMQXWMqlRrrYeUrg2EF/Hz2b9p2w4ROp4NCodB3gzMMA+l0euRBtqOAf59BVXqGgdexh+kM1w98xnQWzp9+4J49NM2sbhjGDkRqePgJasgRbJTPhd+3otEoms3m1Eyk3NfFo1/yiTdsGVSZJKJIVTqvZ8NxHBwcHLCs89zcHDRN66nSxGIxVMs1SH++g2ipDPvS9R5dx7ah7J0llU5fuIb1f3QTDv/z/dDrTTiLc3BqDSiVKrRWG7aioJmIor6Ug70cg7qgIbOQwMJif4XIU48/C/PYgnPUgn5QQfS0DL3ZhOQ46GgaOvE4ZEOHcVKE/YZ7MHdrxvPn8KQ8zJE5bgQ1TwwADh86gfanD6CxMAe4BtXb1Tq0YgmFf3IrjOXu/4tEIsjn81NTr4RRlQPOpNCxWAypVGpokOrVS6UoCpaWljyJK18ZmfZnNY4xDK/6Ac72ooWFhdAVKXzsGI1GA+mH7HQ6KJVKfU1LgHDUVpQsBsJV/5C/hd+xJYNMXtyVSmGA8hwD9Vlsbm6iVCoxOUqQ0HWdVXPK5TLa7TZbqHy/HXCWfSoWiywjws+6kySJ6ff9ELNkMsk2h83NzVAeSkVR2P2t1WrodDpT71FUVRXz8/OMKPK9OMBZMMf3jtBnPOmgWx78+yyXy7BtO1S5BXBGmDRNQ7FYxPb2dmgD1fshk8nAMAzs7+/j6OgIjUYj9HsyDGQURImOg4MDGIaBxcXFmcpV/YJIKG8gQiR60OdPhGnYMGEe1OtGxCgI059cLodMJtMl1S0UCp5OdKlUipG5QckTwzBw5coV5sq3s7ODTCbTJYmWJKmL4B0fH0PXdWia1tWTNzc3B8WMoOJsQm230Wi1oUTOAilJls/I3dEp5r/8DPY3i0gWK5BtC87mDkxdRzOVROFyGsZaGku3LiCWNBipmZvvfjYsy0KpVEK5XIZjO7A/d4T81iFky4KlqujEY2jnMpC+TlZkANpJEe1MCvkr/T8b6nsKIrHmF3y/6rSfM8d20P7a3lkA9vV74zgOnFYbUqWKWKWCwvIi9IWzBIGu65ibm5t6QBxWVa7VaiEajaJWqw38TG3bRqFQ6DobqUd2UOKPiFMQbpD0s/0QIdu2sbu7y5JX1C8fhh2+GzyRI+XTNGBZFsrlct95xtTrCoTXHsQnDMMkcgcHB6xftR+RcxwH9Xodp6ennq0U8Xgc2Wx24sS2IHMXBCT12drawunpKWRZDtxuXlEUJpNqNpvY3NzE6upqz4MSjUZZpYAWbqFQQKfTgeM4KBQKLMOmKAqy2Szi8XjfBy6bzaLT6aBWq2FjYyOUh1OWZfZeW60Wtra2euZWTRP5fB6JRIJl1cltjA4xy7K67htwJl1KpVITHehkJrC5uYlqtQrHcUIPmDKZDDRNw9HREfb29gY6ioYB3kWyWq2iXq97rvNZI5lMIhqNYnt7G81mExsbG+eiujkMvPgjmUwikUhgf3+fSUiHubmN8znQOIKgVAwk1SUZFZkfuaumpF6IRCJD34ckSVhZWWE/s1gsolAodCkUeJvtzc1NmKbZdX8dx8HJyQnmL82j/I+fh9LfbCOzu4/6fB5KgqtuzufQLutIHxyhkUyiPpdC51ISmRvnsHZDrstwg//5kiSxng63OY9ZdpA4KKCdiEPOnZFQr3es1uto33kDNKN/gEuSo1nOhCQSHkRyp7LfQGRrH61UEp1KDVq1Bv3rBjOteAyHt90A3JjEDZdXAk12EVEJ2mF5b2+PGY95gYxL+IRmLBZDPp8fSoTIKRrA1JM3pmmydT5IDUHPHT/Pb9YzTYnIaZo2UXLa3TLihq7rzCCvVqsxN8ew5tdtbm6yzyhMIlcsFtn+7lZ/DJKaqqqKbDY7dbf48x0FCHSBd348Pj6GLMuBB8F8355t20PJlSRJXU6CjuOgUqmww9+yLBwfH7MHXtd1ZDKZHvei+fl5Zj1OFbqgwb9Xy7Jw7dq1QDcH3r6/VqvBMAwm4yCH0XK5zLLuvFsmcHbvUqnUQGLsBZ641mo12LYdqB21F+LxOBRFwf7+Pg4PD2dizMKDT1zQOg9rwOgoUFUV6+vrzBxie3s71KGv04AkSVheXmZSpE6ng83NTVaJkiSJrflxqgWO40DXdbRarcCJLvW9USBH/TFEwOjvo2Sn6WeStGtzcxNzc3OM0EWjUUYmSXbJE65oNIo77rgDhmHg9PI8tj71NeSf2UGzbULOZdjXOaoKS9NQf8kNuOXVN/a9Hr7X1z1OgQ9MHr36GPRGE60Fbymp07EQOSnCURQYz+tfpaSAfpa9csB14jzNpCnJB7fv38TlQgGSpkPWNDRScRRuXUH8hjw6yTYMXQp8/yHzJSDYe22aJiKRCBqNRs85Y5om9vf3uyoW6XQamUzG15lG0mMAgSRf3U6aXnCbxs1irqsb9JwqijKyTJliD+qvd6MfGeGNmsJQ3MzSWK1Wq7H2DHLadc9A5RFknyBBkLkLBnJH29nZweHhYSiuSGRgQYYRoxhYSJLEHMqAXrcesqklGIbB3NhWVlaYHnl3d3fghjot0HulPoKgK4O8fX+z2ewikOSYR2g2myiXy8x8hpriiRgDYAOmhwWxPHFtNBqBjL8YBsMw2FqmweyzlDjSZ099fVtbWzOXgfbD4uIiq+Ccnp6yCs55qyYOgqZpfaWXkxhPNBoNyLIcmlscSRuz2WwXAeMDulEPcZLW0wBa/hnnK+mLi4uo1+s4PDxkhjvxeBz5fB5zc3N4/PHHUWtVcfTXOnJXN2G123AW5iDJMtRCEbVMClfu6bb9t20bxWKxpy+QkMlkkEqluvZ/q2Mhcq0AS1Uh0b+bHeinJcQL3QFO6fIlzK33D3bpvQZt9jUIJNmahsTdy+BA0hQcX7mEzloeuVsXsbqegqLKqNVqODo6gqZpgSeSwqzKqara9Tq8mRBhbm5u5MQkxQ6jjGHwC358hleFzcutd9yxBdPE1tYWHMdh8vxhoNl/xWLR0xBLURRkMpm+syLJAIQSSmEkQXkiR7FMWGi320wGrqpql9yeEOQ4r34QZO4Cgsrme3t7ODg4CC3gXFlZYdmXcR0AZVnuMj9wN882m82uDZIc2+gBCksSuLq6OhZ5HQdUKaN5Uf1ezzCMrs3BsixUKhWUSiW2kfL9isB1K3MvmRdP6FqtVmiEmYemaV2yz3a7Hfo1uDE/Pw/DMHBycoK9vb1zW/mKRqPs3tHhNs5eMOvqo5f0kjDOYXh6esoCkDChKArW19cZuaIs9STXkUgkEIvFugKGdrvddV9isRiTCVPlZ2dnB5cvX0Ymk0EkqsN4cRIniRuR+com1J19dJYXobZN1G/II2JoaDQafceqEAaZP+w9eYT4aQkR00TksSc9v6ajaZBsG53bVqHq3mvOcRwWUIY9HJwHEcpx+n38GBysfcdZ4sXtYklBYtCJtU6nE0pVjuYE0pql5ASPceMX0zSZzC0I4k/7kHu2JG+IAlyfVzprEgega4RKv9mMjuMwnwMvB8VRfA7c9yKM6hhP5BRFCbQdhken00GxWOxSR/HkN5vNsrEqs4Agc+cIowwIjkQizBZ7b28vNH02OagVCgXs7OxM7IClqiry+TzbjN1aY15zTMN4w+oTWllZYcMnNzc3AyV0/DBher1hZJkCVgoWqV+xXC6zrCJvZQ6c3e9UKoVEIgFZlrsIXbvdDm2wNw9e9tlutwOXt/pBMplEJBLB7u4uTk9PUa/XA89gjwOS2xUKBZRKJezt7fmeI0T7zSyDZgJJL3k3SuCMmGWz2ZHWAhGCWb2vWCzWNZKB9rOVlZWx1rQsy9B1nQVe+/v7PZ8xLxOWZZntj1evXkWlUoEkS8i9KIt6Pg71b55C8tomGokEtLVozxwoWZaRy+UQj8fZIHMvUsMn4qz/s4NktQrdsoCvv0czEkEjn0MnEYckS5AaLeilMuI395dYEgGaZQ8tMJrUc5gsze/oHqqEGoYRuIszPWNhVOUcx0EkEulaZ4qiTDxY2Y8EclzQmck/S47jsIQT4Tz1LO/t7fV1c2w2mygWi109iTzGcSDnE29hGZ3wRC5op1ve3MkLsVgM2Ww20HOmX5+iF87HKhQAcObIE41GoWkacrncUJmQYRhYWFjA4eEhdnd3Q9tY0uk0NE3D4eEh9vf3p6oR1zSty/XRaxOiAdjAdGbcDcLCwgJzntzc3Az8Hi8sLDC52ahk2d2vCJxl8cvlMssmdTodnJ6edmm7k8kkkztS/1K/rF5QIFJJFvyznkUHnGVc+0lgzxuy2SwSiQR2dnZYb+UwuQsd/OeBzBF0XceVK1dwenqKSqXC5uv5NckxTXOma4ZApCQajaLRaLD5iuOMv6BB0QDYc0qfMf+M0LoslUq4evUqFhcXmdwKONtL527LoZq9E4W/eBztdAxG5ux7++2jJOmOxWJ9LcjtjgOl3YHa6aC0ugorHu2qONGftHIVrXwWS2vX+6nr9TpKpVJPhWAWY1MIfsxXBo3n0TQN2Wy2pw98GGhPDrp/OcyqnGVZcByHVYui0Sjm5+cnfkYpyI1EIoEksakPj8gCJcsIsxxk74WDg4Ou+WqUFOfnAfOYZMA80N0nmM/nA3ENdoMncrquT53ED3PpJIQ18P34+HjguAc3xJy5cwCaM/fBD37QU24wjLDw0oUwTRv4zEwYwzD5WTL9kEgkGNmcJvh5ZEEMmHaDpFrAdF2hbNtGtVpFqVTytMnlMSsyReYeQLjruR8cx2FEFzhf2Vg3qL+UiNog8kD9OUGbz4w7y85xHFYZIgy79wcHB6z3cpbBlns+Gb9/AKOta5prR3usez1ScMEHnAsLC7jzzjsBAA8++CDq9Tp7pjRNQ6vRhiQD6zes9yUc7oHHbkQiEWQyGew9cozE//dVtPM5yDHve+7YDmLbezh92a1Qbhu+dwY593AYyOac3+dt2+6RsPPw6iMcBfTZ+a2qTwLqQw+qPYP2FR6pVGrkCns/8NK+IJJrFE/puo50Ot31Xs6j5J6f3doP8XicuUhP8/XCavHhiZzfeW7D4PZvcEPTNGQyGRwfH7M2lrDOflJoNRoNvO1tbxNz5i4aLl++jHg83qPN5V0MZVlmWXjaxBKJBGzbxunpKba2tkILwnk3RtJfB1lqJ0kZ75qUSCTQ6XRY5c7t+BiPx5FOpyfO3mUyGSiKgpOTE+zs7AS+icViMaysrDCZX7vdnsohL8tylyGN4zjMWMWdZXYTZzKViEajMAwjsE1tcXGRBbBbW1szt3imWUF0Tdvb2zMfp9APNJOJAqqjoyOUSiXPno4wK3Pj7EeSJGFhYQGWZWF7e5sNTyeJuVcQR+YnszStoftKMmbgerBPz9TW1hbS6bSv0Qkk8yHCTeuRnzsYi8W6SG+lUsETTzyBSqWCRqOBVqvF+upM04Ssnv0M/h4Okwv2cx5uPX2KVKfTReQc24bTbEOqNaA1GpAtC/VYFOacAqKwkiQxwyZFUVAqlVAoFGbqagtc74MxTRMHBweephA09mIa+5LjOIwkBm36QuOCAEz1GbEsC4eHh10SRMK0iTkRuaCGcFNinDe6iMfjmJubm9rrOY7D3L1t2+76M/9v7r/7rb1Eo9GzftkpfsZu98iwEq3TGnxOIxaKxaLnfVRVFZlMhpnwzKIfEDiT0VM8O0o/oKjMnQNQZe6+++7zzKIPak7nDxU++xtmVYWvmKmqGkrPFZ815oO7YdrwWCyGTCYz9iHMV8zCKLfzG0pY97bT6XRJWf2CDFqi0Sh0XZ944+OlHGFJG4aB//xTqdRM5WDD4D6M3BVlyrAGXWm+du3aVPob3A54bjWAbdvMAGCWlR1ywu2XhODXEDC40s+rLry+rt+zurCwANM0e3ouKPkGnAXZzWYThULBMwgnDApiqsUGCh/+PBTThBOLnZG3VgsSHHRUFWbUQCOXhDUfh7YQx/Id84jFvecruauZYYIkn+6KEoHvI5z2tdFz6JfcT4JpVuVo7JDbjp3v75z2Z0nPQ1AOhu4KOnCWRCHy5UW8zgOCdk/kzxLq7w/jGeVjy1H78txjsdwY5NLJx5dhVMsJZLoHnD079Xod3/md3+mrMifI3DnAMDLHY5jcg0eYh+IsZn64ZZdemaJms4lSqeTZ2wCcbRDk9ugXfFA5Tg/MqJjVPBV+bgo5NZmmiWaziUaj0TPfahBUVe2q6vlNNPCb6nmRuPABNI0KOY99dAS+ks0ToL29PbRarUDXEz2j05LGAGAVHAL1r5yenqJarSKXy81szhP/rA4ilG4zhWg06llpcJuTeMnZ3fsDcBZQ27aNTqcDwzCgaZqv/gua80cBbb+ERbvdRqlUwvGjReT/z+OQbQvtSAStRBSt+RTsfBSJS2nMX8kimhweYPJ7edBE3HEctFqtrjEvXkgmk0yREeS1+Fkv0wC/b03yWu12GwcHBz1EZmlpCZFIhL2faatX+Hs17WS1ZVnY29vzrMJOE4qiQJZlyLLc9Wf+7+6v4fcE9yyzMGba8e008Xg8NEdxfk/wQ6hIWVAsFj1JNjmpJ5PJgecdL1cPI74jUBIQuB7j1Wo1QeYuEkYhc260222cnp72rUTNz89PfdL8IFC/ARBedZDvsRomf2u1WiiVSn0PcbLyH5bh4l33wiIZOzs7rDoblsSBf5/Dmo4ty+oien4PRkmSGMmLRqNQVbVrvdJwaeAswJrl/CmCO4CetVnLMLgt/9fW1rC9vQ3btgMNImn9TDu7ScOC3ftemFljL1Ag4LeH2O3eyVeg+XVPzsUE/vl3r0VJknqSLNRH7LaFp9Ev/UDVj0ajgXK53HO/rbaD5mN1aLkoMmsZ5FfSUNTR9yVKOAQRPLXbbVQqlYFkVpbls17CVitUu3OSVIVhIkGJgXFIluM4zJSIh7sXjs7/IPZp+tnT7PHtdDrY2dnpel40TUM0Gu1LvNwEKwy4+1fDUoXMwugE6CZy/dbSsPl4o4xYoJ/H9yKH4Y1Ar8vP6eOTq4LMXTBMQuZ4UGbi9PTUs2JCDb1Bkztq3gTCaxjlm65HKce32+2Brk+GYSCTyXiSOz7TGYZEBgBz1gQQWi+ZuwI6DnGhbDiRvUGyLjd0XYeu66y6NM0qz6Tg9e2z7u0bBvehQQiSzFEQEtTz4SUznKXj6LhSQerHBM6IxeXLl9ncOOAswFxZWekibUT86HtJZrW3twdZlmHbdhexo38Dzp4hrwQgEcRh8rFYLAZFUVCpVKZC1Kclsex0Ooy4DRr1k0wmkUwmu55XuoawEmVhViPHrcp5meCoqorFxcWeQJcP/Kf9fng1zDR+tjuJApwfKT8PPqEDnD23i4uLoexvfBwXltEJ0C3p5EkrSaGLxWLfeZjjGhG5Y5ywzhD38HN3IlKQuQuGaZE5N/gAwQtBkjteex7WRuDuERqHdJB8qF+2mhzcDMPoaZINS1vNH5phGnGQLA+Y/mfa6XRYRa/RaIw0c9ENSZJ6JCv87+4/S5I00frnpS9hZi8dx+np5fBqoOe/xrKsnoMwyIOLelyCvi/uYcT9ZItBggLOcfsD3fuXH9DoA+D650iBiaIosCyLGZ8MA0mG+ew0wcvKnMjPpFVpClhH7QkmZ95KpTJw2HksFkMymWR7thcoGRj07CoeVGkKYw8fpSpn2zaOj497Epy5XK6vRI0ni9NWKfAB76TJYbdCAQiXqPiFZVnY2dlh56Asy7h06VLohiNAuKoTfg+k9pd+w82ByV1kge41MYnByqjwM/xckLkLhqDIHNCbgUomk33lJmTFOi1yxwdYYZEOx3Gwt7fHHv5Js22maaJUKnU5ZPKIRCJIpVKsKhjWZsBnKsMYC0Fw99GF4Txn2zaazSYjeoMCt7DgJomdToetOUmSkMvluohVP9J1XhBUVpqSOkE//3QguyWG03ahGwQKmCcNON3EdHV1tWd4LW9kAvSaI9E+aJomHMdhJA0426MikQhqtVrXsyTLMksQAIODuGlWlajpf1BlmyRVlUplYFXfMAwkk8mRz7BpEVO/mFb/2jRfy73ugLP7OT8/P5BE8EFpEPsIGcRMkiz1qjCGJaMbBV7y8TCvkydTsixjdXU1tISYH+O1cYabDwLffx12ItbPzLxRyJwYTfAcBw3hpYVTqVTYoemecG+aZpeb16TkLpFIQFVV7O/v4/DwMJTgX5IkrKysdNl2T3IIaJqGubk59v3usRGtVqvrnjUajVCGSxuG0TUWotVqhUIiU6kUDMPA7u4uCoUC6vU6lpeXA31NWZYRi8W6yABf+e1HZikwpeG1RKDcFtD8735zW/RzvIil4ziscjptSJLU1TQ/6i/3miTZ7sHBARRF6bGrnxREWIOWWlMlKZPJIJ1Os6RDrVZjgWA+nw/smZwmMU8kEl1BNY0x4LG9vd1F6KiyTYE07YPUw8dLtRqNRo8hVCaTgSRJLLCJxWKepMZxHDQaDebGOQ0lgntIN41LqVQqAw1KNE1DMplEIpGYiIBRcnMUY6ZJQZ9bGHJxei2vgLHT6eDw8LCn8jFK8oWSirFYbOpEzjRNppIZZ625Z97JsoyVlZVzOSfUraQKW/bJV6jCUBlRgqZUKvVN0KZSKaTT6UAqkrzSKMwWiVFm5o1iyCMqc+cAQVbmePAuPV4BsJvcuTEuueN132HavLozPUFkXTudDkqlUt9qJ8kyg9qU+Qz5rCyDgdkYgPBV51kZX3hZVfOBOPXm8GTqvDlfuuV90zT0IXOioPuQiLy53d3czpfJZBK5XC4we3nCoFl4w+C+ZuBs76XqLl89c8PLGMGrKjFIoQFcf547nQ5OTk76ugFPWlVyj2noB0VRGHGbdiAe9kgE/jwMuirn9Vo0185twZ9IJJDL5Ubax3myFMR7Gde0xe36qGkalpaWQpEpjgp3RXQWrs38/QrKIZOGdJdKpb77l6qqWFpaCpRszzJ2GTZqwe17McrQcEHmzgHCInNAd/ZlWABsWRZ7+LwwCrnjA8ZIJBJ4NYdAg4Ypcx60Pn5Y30tQwzx5Y4swN6cg++j8wK3vPy/SGT7IIfOK80bi3OB7MYHpmBeRhC7oQJmy2jSmwA0+kQWcyXWoGjUNUNDpdp0cRwLtHkcgSRLrp6BK89HRUVc2m5dRAt3EhJdkq6o6sf06maeM2l9GBga1Wm1gxQ3wNigJAkScR51hNQno8w2jGsC/Fo3D4EM+WZaxuLg41r7Nn3VBJGtIfeF3nXmRVMMwsLCwcC6dht1zM4NWD/QDb3QyzTVpmibK5bKvkShAOHHLKO7c00Y/f4VBjvSdTgc/+qM/KsjcRUGYZA7oDYD9PsCTkrtZzUsDurPdYThPugPjfojH48hkMlMhIPyIhrBcRIHurN6sZsHxEpWwevmGwU3sz7vbJdCb/JjUYnxzczPw8QfA9YBk0Lp3HAeFQqFLeTCNflMKyvgklbu65lcy5WXQAJx9Di9+8Yuxvr6OdruNRx55BE8//XRXL6+7j44CbDc5JJCU0jTNoe6yiUQClmV1VegG3WvTNFGpVHz3uNKMsrAD2bCrcvznG2ZVzg2SI0/ynuneBTFOgq9gDPtsvMYmxGIxzM/Pn8sEmlsxpOs6lpaWQiec0zY6GTbTV9M0pFIpJBKJrhmbYfX88zFZ2DECHwuQUqdfHM2buggDlAsGInMf+MAHcNttt4W2AfEB8DgP1DjkznEcbG1tMZemMAmd2wwm6Nd2H6ZXrlyBaZoDRyF4ucaNAr4C0a9KEQT4ICXMymu/awii/2tc8OMkwpoPNCnc0rxxq64U8AUduI5SAaSeRp4ITZKE6Gdp7zgODg8PfRMg/mcBZ2vYcRzMz89DlmX8w3/4D9ln4DgOHnzwQWxsbPTI5XgsLi6yz5Ga+yuVCiRJwtzcHAzD6JHWz83NodFoDJw/B5x9pjRypFqt9jWJIqiqing8jkQiAU3T2FiPMB15edBeGab0f1omOYNg2zZKpVLPuazrOhYWFqbyuiQrDqq64YcoOo6D4+PjrnUalIx6GrBtG7u7u12V8TCTrjwmNTqhKnupVOrrNGkYBpvZSz/bnawK6/3PaswCMNzYJRqNIpvNeiZ6BZm7ALh27RoLcHgyF41GQ5XJ8Q/XpO5FfshdOp1GPB7vcmwKa64PMH5VcpLXGyTzbDabKBaLfYe+j+PexEv8ZjXoE5hNH537Gs6L7NKdSDjvQ8aBs7V7dHTEDkFd17G8vDyWS2DQZG6cCqBXMDjq8+LH1dFdoe03K8orYz83N4dbb70Vy8vLPfvUtWvX8Nhjj+H4+LgrQEwkEohEIr6UAV4Dxr1A+7Zb3jkM/dY5vw8HvTa8wL9+WAlF6g8cdQSDH3Q6HZyennomCafdA8UneoK4d8P68GzbxuHhYdeZOW3Z9DTh3keB2Y5D4OWdfhMZtm2jUqmgVCr1HRuUSCSQSqX6xlN8X3EQQ+W94I73wog1ycCJjOnckGUZuVwO8Xh86HoVZO6co1gsIpvNQtM0/Nqv/Rp+6Id+COl0Gh/72MfY14SZsQmq72gYueMRtgSNr2CFUXL3I/Okhtd+c1UkSUImk2Fl+kHgyUNYGydh1n10QHc1bFbSTzccx+ma4RWEPCkIuCvMo1x3WGRuktfxCrb8BsDHx8eoVqu+SKC7R8a977ircoqiYG5uDvfee2/P897pdPDZz36WDQh398EREeQTCFQZG7Yfq6oKwzBQr9eHznuUJAmJRAKJRAK6rkOSJBaMx+NxzM/Pe34f7b+zqlTT/hDm6097/EGz2cTJyclAcj1tssUnL4KIUfhYxH2fLMvC/v5+1/s9L3t7P/Cuy8Ds93y/RifDjN0A/4lm9/kRVoKVf12aoRkE2fdTpVRVFcvLyyMTSUHmLgB+6Zd+Cb/4i7+ITqfDmtLvu+8+JsMDwic4Qfcd+SF3uVxuYqtpvwhbljeqzJOse4vFoqdpgaIoyGQySCQSnj+HrwiE3ezLk9dZHbh88HyeTEh497LzdF3D4A5M/ASlF4HMEbxmPA0LvsbpuXL301G/GJ9Qk2UZc3NzuOWWW3DTTTd1XeMTTzyBZ555Bo1Go8d5eH5+vsuK3Q8Mw4CmaYzcJBIJ9nP4/YrHoPs8iLRQ1jrIys4wzKIqR/06k0jQyenOq+KqaRry+TxkWWafWRBVCPpsg9rTSS7Nt310Oh3s7u52JRaCclycFtwjEcKcBdsPfE+9O7ZstVoolUp92z9UVUU6ne4ba/QDH1NGo1EsLCyE8rzx93/aHgl+RirwmCR5I8jcBcKv/uqv4j3veQ8sy2IGKLMYtk0Ik+D4IXfDSveTwi3LC7oiOonM03EcVCoVFItFz4x5vx7FWZnOnIc+urA/X7+4iOYoQO/9HBakXCQyR7BtGwcHB10SGS8DEy/jE7/wIo7AdadIes1XvOIVLGjd3t7GI488AsuycHh42FciubKyguPj475ZYjcURYFlWczR8RWveAVarRY++9nPolKp9FzjoF5cfl0vLCywOX/9MAuJJcm9wgywxzVasW0bxWLRc1xQLBZDLpdj+xn/bAbRL02BuaIozF11mnCbw3gZuIQ9e21UuBO258GIxcvopNFoDO13S6VSiEajY127+3wLU6FDaglgOuuFkiilUqmvE3AqlUIqleoa4zINEinI3AUD3zOXyWTYAqCqQtiVjVn0Hdm2ja2traH9G5FIBKlUauxB5v3AbwBh9JlNQ+ZJc1v6GSDwM+62t7fZRhRmj+J56KMDuvX65ymry6+7i2KOAvRmnvvtEReRzBFs28be3l5X9pUPkqdhZuHukyN7ctr75+bm8E3f9E3I5XL4P//n/7CvnZ+fR6FQGDhslwhAKpVCs9nsG7hJkoRYLIZUKtVlsvLMM8/ga1/7GqrVatf38veYHC4LhYKvwelEHIHZ9LPOolePKtqDZKc8TNPE6emppytgOp1GOp32rHjS+wpCVcMTraASgrzpibu6HKaZ1zhwkxdFUXDp0qWZ90UPG5VEiMfjSKfTU0ko8sqDcfqsx8W0+uNs20a1Wu2bNAd6JabuxMO0ksaCzF0wuA1QvDCLQG8WfUfuIbL5fB71er2v3a0kSUin00gmkxMTFL6xO4xNaNpV0GFD33mEHUjxfXSzqkKF/fn6hdvh6yKYowBnh+fe3h4L9L2y0BeZzBEsy8Le3l5XVpafJzfpa3oNCY/FYqjX66zX49Zbb8UDDzzQpWKIx+NIJpPsOmiGpddoAzfy+TxzoUwmk0zOyZ8/juPgr/7qr7oMnPxC13XEYjG0223U63Ukk0kYhoFiscgI6CyqcuSgGZYxlF9JZ6PRwMnJSU/mX5Ik5PP5oWYJlKwzDANLS0vTewPofg9B7d18UovHeVcsuPdAIJyz1XEcdDodmKYJ0zS7/uznWaWYaZoqFXfiNkxVGZ8UGzY/2Q0ydykWi57FBIoxaVyAG7yUdNrzKgWZu2Dg58zpuo5isdhXmhJmTxnQ3XcUlt07DTel4J/XWnc6Heaq1A+xWAzpdHqssr57Qwq6ihVkFbTT6aBYLPa1DJckCdlsFvF4PJRK3Xnoowv78/ULt+vprBvlR4GbjHpVry4ymSNYloWdnZ2ubO00kmy8BM/trkl73x133IEHH3wQR0dHQ+WT7gHidF70S/KsrKx4mqwAwEMPPYTt7W1Uq9Whg75HQZguuwQ/zqPTBpEU9zohyTyZUfDQdR35fN73+cUnXYN4XxsbG3AcJ7D5rF4zWSORCCKRCDMCUhQFqqpCUZRzkejyGm8ybvXQtu0uMsaTs2EGRH4RdNzItwZN6oo+KvgkrR93zmHtPbIsMy+CQfcrDCmpIHMXDP2GhpNLzunpqWe2ZVjGYFqYld27W3/upX+mZtRyudw3yOGHVfrdYPi5JGEE1mHIPNvt9sAZd4RoNIp4PM6GCk8T56GPDgj/8/ULPrA5T9VDP+DXMCV+NjY2Auux4REWaQS6s8CyLMO27bFlNW4lwsLCAnPXJMzNzeElL3kJkskk7r///p5KmSRJrNfO73Eej8dhGAaq1Spe9rKX4YYbbuj5mmKxiGeffRY7OzuoVCpotVpYXV2FZVlsX45EImxunKqq2N/f9+wriUQiUFWVEdVZGJ+QuUZYMmt3VY7637wcAuPxOHK53Fhud7RWgrinvOnRNJ8t6vscNqx+Esiy3EUGeULI/33Ue8Y7QgLXz2vHcWDbticpG2Wch5/3paoqNE1jv1RVRavV6roukmwH+Zy55waH3cLAV8X6nePDFEvDjOS8wK+BIE3MBJm7YOhH5tzgM3D9QI2YQZg88MFamJUV/n37qQ62222Uy+WBQ2z93Cc+0IpGo1hcXBzzHfhDmO6LfrX0PGKxGOLxOKLR6EQk77z00fGfbxDypHHh/mzOy6w8P/AakBoGab927VoopJF/PQL/2SwtLY0UkNPPSSQSAyvoq6ureNWrXoXPfvaz2NnZgeM4LOFDErxisdhXjs7/LP7In5+fx6tf/eoeOZRt2/jLv/zLLiMVWZYhSRIjkvl8ng02N02TSSrdyGQyXf/3jVKV490DvZDJZJBOp8fe4/k+nSCMnfifPy2i6O61BXpJB0kILcvq+cX/+7SqVrOEoiiMjLnJmd/77b6nYZmu8BUxINxz3K1k4df/sLEK/LzjUe+Ruy8vaCmpIHMXDH7JHNAbLMXjcbRarb4uO4lEAul0emrBIE84gpzd4YY7wB0lICBNdLlc7qsnNwwD6XQahmF0vR/36wa9YYXtvsgbsdAwY8uyUKvVUK/Xh2ZOJUlCPB5nmf5R1gJlyoHZ9Ua4P9/zIrsEupMnQUmcJgUF8s1mE61WC41GwzPICtLNjA7YMCu9fCWQrPYNw4Bt22yswLB1xO+l8/PziEajXc8+IRaLYXl5Ga94xSuwvb2Nq1evolAoYGFhAUdHR5BluWsmnK7r0HUd7XZ7oCSTZNYLCwt46UtfyoieJEnY3t7GAw880BUQra6uwjRN5nDp3ktjsRhardbQnp1ZVOWopyzI4MtxHLRaLVQqFc82CVmWkc/np2LexZ8TQTg88kHrpM+ubds4OjrqIbZhOVPatu1JBt3/Nmko7EXINE2DoiiBrHc3mYpEIlhaWgqlDYbvEwxjTi8PLyfoQcl7XdeRTqcnfu7cKoowyKsgcxcMo5A5Ah+EE6kCMHDoNHB24GYymYkC51navbslDuME3zScu1wu99huExRFQSqVQjKZhCRJXT18YRxCYcoA3QmCfsTKNE1mNT5MNiLLMiN5kUik7yZ6HvrogOvGCED440AGYdbmKJQlbzab7NeoZhg8gqwg+HULnBQU6PKVQN6+mow/VFVFNpvtuz/x1b1BWFpawstf/nKkUik2KJwqGV5z4Obn5xGJRNBqtboy9vF4HJqmdT2/JDGKx+MwTROyLGNlZQV7e3usAgicKROSySQODw+RTCbRaDR6Eohk2sKD5lPVajU0m82ZJCX44G/aUkFKEvarEkmShOXl5aknqmjtBDVegcivnx6kfnCTDeBsjczNzZ2LvrdBcBwHhUKhS5oXiUSwuLg482t3nwmapmF5eTn02bxA+MlPPgHWD5FIBOl0euyxCm64yWuYccpzlsx913d9Fx588EEcHh4im83i3nvvxfve976uYcgPPfQQ/vW//tf44he/iPn5ebz97W/HT//0T7P/tywLb3/72/E//sf/wIte9CJ8/OMf73Kf+eQnP4n3vve9uHbtGm6++Wa8733vw3d8x3ew/3ccB7/wC7+AD3/4wygWi/iWb/kW/M7v/A5uvvlm9jWSJOHZZ5/1fXCMQ+bovfAZCncQSpnCYrHYl7REo1FWkRoVYdv5E2zbxvb2NjtAp2FCYJomyuXyUBkrYZJDzi/ClgHyn6ff9+c4DtrtNqvk9asQE1RVZf14uq5DkqRz00fHy1Wm7Uo1CdySkmmTTTdZG/YZ8lAUBYZhsF9e8iB3skBVVaysrEwt+KCgMSyiQOvV6xmhILDVaiEej6Ner7PMMB/08PdkbW0NOzs7niRZ13WoqsrkkI888giefPJJpFIprK2t4emnn+7plQGu9/KNClVVYdt2z/cmk0lG5KPRKObm5tjMsWKxyM4Pd3acSCVhFpJqMvCYxN6e+te95u7xiMfjrCoXVMViZ2cHpmkGtlfyfbujkl/btnFyctJTmTxPCbJBoH5VPikRj8cxNzc3895lt4eAoihYWVkJhUw5joPDw0NWXU0mk8jn86G87jBPBMMwkMlkAhldMWvyWi6X8d3f/d3PPTL3/ve/H/fccw+Wl5exs7ODf/tv/y0A4POf/zyAszd+yy234N5778XP/uzP4uGHH8YP/dAP4Td+4zfwr/7VvwIA/O7v/i5+//d/H7/8y7+MP/qjP8Lh4SE+9KEPsZ/zyle+Er/yK7+C7/zO78Tv/d7v4X3vex++/OUv44477gAAvO9978Ov/Mqv4BOf+ARuuOEGvPe978XDDz+Mq1evssUUFpkj8E3Kw5yEWq0WSqVSXxOMUbMafPYt6D6vQa8NTFeqR5n2crk8sAoV9CEVtgzQfWCMW0mhRAJV8oYFlqqqdpGIWfXRhS2rHQV8kDWKpMayrC6yNkozvizLXWRN07Sxn2/3wci71E4Cui9hJZSomjyoYt7pdHB6egpZlhGNRlGpVLpInbsqx486oGrWyckJ+35d13HLLbfg5ptvZs/U448/jpOTE0iS5CsJZRgG4vE4HMfpIn9EwCkUcByHmTnwX9PpdFifCRk7jFKllSQJV65c8f310wBPmkchJn6Se5FIBMlkkt0TXpoYVLKPV+QE0fvnTjL43fu8KiaGYWB+fv7cyNYHwbIsHBwcdBGGdDqNTCYzcxLnNTw9TDWU+/WD7OH2+9zlcrnAh5Dzs2nDIq88Wq0WnnnmGbztbW977pE5N/7n//yfeN3rXodWqwVN0/A7v/M7+Lmf+zns7++zoP5nfuZn8KlPfQqPPfYYAOC3fuu38Nhjj+E//sf/iE9+8pP4kz/5E/zRH/0RAOCNb3wjarUa7rvvPvYaL3vZy3D33Xfjgx/8IBzHwcrKCt71rncxIlkqlbC4uIiPf/zj+N7v/V4A4ZM5oDcI9esqZJomSqVSX72xn2bRWcouHcfBwcEBy5ZS31cQG3Cz2US5XO5LhJPJJDKZTCCHV5gyQPc9nWbFgySu9XodtVrNd58C7+Clqir7FURPgltWEVZvhx94maMoitJF1oZZ1/MgJ0T6RdXSIOFu2J+0sk4BblifEz2LfhIrVDWjSnSpVIKu6wNnQebzeVQqlZ7PMZlMIpfLwTRNtgdREs8NRVEQj8e7Xofc+3iQjNa2bUb2YrGYJ+EcFYuLi9B1na3XWfSj0nsY1PdFQ4IrlUrfRIckSUx23+9s29zchG3b0HW9Sy00LfBKjSD6Dnky6udZoqSAO/AO29FwEpimid3d3a5zaBYGPV6wLAvb29td1xa2GRZvPjdttYpt26zq5ifBGJbywq0kmYUBGRVoGo2GbzIXTsQdAE5PT/G7v/u7ePnLX85u9Be+8AW88pWv7KrOvOY1r8H73vc+FAoFZLNZvOlNb8I//sf/mOmf//zP/5x97Re+8AW8853v7Hqd17zmNfjUpz4FAHj22Wexv7+Pe++9l/1/Op3GS1/6UnzhC19gZG4WUBQF6+vrrKfs+PgYx8fHQ7NrmqZhbm6OZRE7nQ7K5TILAkzTZD+LXiedTnfN4JBlGevr6yyTsb29HdqGKEkSlpaWWEWp2WxiY2MjkMCOAl6Cez5OpVLpct3M5XJTaXYHzjL3NMvl8PAw0P4guqeUbS2VSiiVSlMJxiRJQiwWY70TBNu20Wg0mFzTDdu2hxo69ANP/nhCqGma57MhSRJWVlbY/T44OJjq/XYcx9OpjRza3H8fBHfG1gvRaBSRSIRVeGadaaZeSqpw0X4z7p5B1aGwiAIlOfy8HlVQ6/U6CoUCq8y1Wq0u+SHJ8yhpkUwme4Kcer2OWCyGarXadw4pX2FrNBpdZ6FlWWi1WohGo4jFYohGo30TIc1ms8f5kkc2m4Wu60wZceXKFbTbbRwcHLA1y6sm6LXCBL9XEJEjxcCgpBxwFrjSoHM/z8v+/j5730EQuU6nw4hcULNe6fOKRqMDz852u429vb2utRGJRLCwsHAhqnBAr0oAOD9JO8uysLe316VUCdsgzE1opmFg5cdlnHpzT09P2fsPU/HFq9yCLAy40Ww2USqVhroRD8KFI3Pvfve78Vu/9Vuo1+t42cte1lVF29/f75mXQ3by+/v7yGazyGQy+NKXvoT9/f0eCcD+/n6P/fzi4iKTD9Dvg74GwMSuSJOA5qlRpWxzc3OkIElVVeRyOZYppyZvWuCWZeH09JTJdPhZd/Pz80gkEjg4OGAZnbDmZOm6jvX1dfa6BwcHgQ+vJInN1tZWz2duWVaP+UAmk5kow5NIJGAYBra3t5nUKkgZoGEYuHLlCnZ2dtDpdLC1tRUYSecNUwBv99JEIgHLstj8HpJ60Z/7ER/6/1EhSRLrPaL7nclk+pKxWWNSq/OwQfsGDd89OTnBycnJyEEVfbZhqQFGBTm+RqNRJiHK5/OwLAuFQoGRDkmSYNt2j2kErUPLsticrEGgrwXO9gwyPhllXezv70OWZeZW3Gq1GJmQZZmZFhF4u24vTNrTPA5ILh6Px1nVzAuqqrJzc5y99OTkhBH8IGSk1DMLnKkygljnZFAD9MY3dA3FYrFn0HIul2MmYRcBbkdCYHZOym7Yto39/f2uJMQkfZ7jgic04zpkUrW7XC73PXvJZC6RSLA97fT0tOvzCasq5laXBXnfSZ1UKpUGuoUvLS2NFFfM/PT7mZ/5Gbzvfe8b+DWPPvoobrvtNgDAT/3UT+GHf/iHsbGxgf/3//1/8QM/8AO47777Rl5s52WmFHD2nqYJqpRRZYGCpHECf3I7I8csekiLxSJs22abPC/3oZlJ7XYbGxsbocou8/k8MpkMG2S5sbERaJVQlmVcuXKlRzp26dIl5nQGgJEBwriHoKqquHLlCnZ3d2GaJjY3NwPdeCRJwuXLl9n7m2QtjQJ3pZled3V1dazsqW3bPeSP/7sXqHeIRz9Zmx9IktQzxNbrlyzLvu+t4ziMDFGwtbq6em76/IZBkiTMzc0hn88zx1giM36DLPr8zvt7lmUZmUwGnU6HraPFxUU0Gg0UCgWmFqFnm3Dp0iVsb29D0zQUCgU0Gg3EYjE0Go2u9Tnu4Gk3Op0OS2K4ZwYC8CRFuq4jEokgEolA0zTous4IOvVaBgHq7Wu1Wn1lxu4qZiKRQCqVmkoAz/f3BDVygYgy2atPG3zi0T2n0TRN7O/vdwWVmqZhcXHx3CZPvOB2wVYUBcvLy+fiPbjbGoDZGMa4CY3fpJrfanc8HkcqlfKs8LlJdphSXYqTAX9zjEcF73TsJ6nM92L3U2B4YeYr+V3vehfe8pa3DPya5z3veezPJAm85ZZbcPvtt2N1dRX3338/7rnnHiwtLfVkNenvfshbv++n76XfDw4OulykDg4OcPfddw/9+V54/etfjz/+4z8e63uHIZFIIBaLscrR5ubmxA5bsiyzgdvAdbehYrHIFqq7jL69vR2qnesgIhCUDIR6TYhE7uzsIJvNsr7JZrPJXO4AdFU3DcNANpv1LWOQJAmXLl1i729/fz/wBl2qLPAV36BHJgDXK820hre2tsay45Zlmc3fGgVUhSP5MX9YkeX4LLPSRIay2WzXcx6UZXlQIAt3y7Kws7MD27axu7vLkgmDnttxqq6TYpLPXFVVzM3NodVq4fj4GIZhsFlJR0dHWFhY6BkGfeXKFRweHqLdbjNTlHg83pVAmpYMmDdAoueGSBrJJWnv6ddHQ0mGSa+Lf/7a7TaazSYjsbxxC2/ewstDNU1DJpOZmtydR71eZ3t4UAoQkgJqmhZYvxApIGg2ouM4KJfLPdXXi1b5P8/jBYCz6zs+Pu4K2GfVb8i3jAwjNJZlsapbv8qR32q319zksJxDKZ6g5NS07j3NNS6VSn3VABRD054ODK6CvuMd78BHPvKRga87czI3Pz8/9mZPN4oC5HvuuQc/93M/B9M0WSbw05/+NG699VZfG+E999yDz3zmM/jJn/xJ9m+f/vSncc899wAAbrjhBiwtLeEzn/kMI2/lchkPPPAA3vrWt4587f/oH/0j/PVf/zV+4zd+o+s1pwl35ahQKKBQKEyN2EiShEQiwR4CsnAulUpdGVKevGiahlQqhXg8HuimSpsJjTHY2tqayhiDfpAkCWtrayzLxN9rwzBYAsB9WDabzS79fjqdRjqdHnpvUqkUotEodnZ2WL9ekAN5qeJLgRytp6AHx9MapvtKleAwKr6SJLFeO8Mw4DgOq5zs7e0hFothfn5+5gEOJTAoy0j36LxIiPxCURSsra0xBzU6cHVdx9LS0syDMCKO0+itoT4j2ptpv+Il7LS+JUliVbyjoyMUi0Woqsqs/6dlgU9qC8dxBhp40TX2O7spQI1EIgPPGTJgoSo5Vdhs22bPnZuw6brOKu2O4yASicAwDESjUaiq2iVJDKq60W63WSWBTIimjWKxyGKbIPrwALBkgK7rMAyDjT0gKIrCjGwuCs7zeAHA2zhmVjNWKflHz5ab0DiOw4zfBvVzjVrt9qpGhmmQ5HZfnURp5PaZcINvRaLXqFarI5msfPSjH8X+/j7+7M/+rO91Xhg3ywceeABf/OIX8a3f+q3IZrN4+umn8d73vhcHBwd45JFHEIlEUCqVcOutt+Lbvu3b8O53vxtf+9rX8EM/9EN4//vfz0YTDMLnP/95vOpVr8Kv/uqv4p/+03+KP/iDP8Av//Iv94wm+NVf/dWu0QQPPfRQ12gCP/jEJz6BH/7hH8af/Mmf4NWvfvXEbpZ+4J5XFUb2nvTBbp26G6M2nI+KIMcYeGGUe22aJgqFgqdEQdM05HK5gcGj+7Wm0aw8DO6etrC0/TyZAsKZ9+cFdwP9eWmeB87uET/kXtf10HpXpw33oesVlJFjYRBW7W4ENQbBtm2Uy2U0m03kcjkmxZybm+vZp0gOxVegpvXeycV1fn6+LxEaVpUDrn8mq6urME0T7Xabmb6QjJPv/+M/T+odpP5YfjxGJBKBqqqeAQ0vEwsyacdXE4La9/jzKihJ+6ABzKlUCtls9kLtGZZlYX9/v4uMnpfxAgR+tAQQTgzWD25p49raGqsqlcvlvt4Puq6zZPw499UteQ2zL9BNIse5/8Mc4Gm0TCKR6Lk/7rhp2OvT0PAPfehD+LEf+zHcdddd+OIXv+iZxL4wZO7hhx/Gv/k3/wZf/epXUavVsLy8jNe+9rV4z3veg0uXLrGv44eGz83N4e1vfzve/e53+36dT37yk3jPe97Dhob/2q/9mufQ8A996EMoFov41m/9VnzgAx/ALbfcMvJ7Ojw8xMLCAhtN8Id/+IehZPndD3FYPW3uGWaDIEkSkskkksnk1PotwhxjQHDf62HZJ5Ktnp6eepboE4kEstms588gd0AgPBtf/nAK2/2JD0RmVYHirZtlWcbly5dnXj0iuOcDnRfL7XHA9zUA3YdgmGTu8PAQ9Xo9sMb8TqeDQqEAWZaRTCZRKBSYwxv/XPE28oZhTKUHnP+ZXveSqmNEmObm5hhR8+o9lSSp7y9+JIKmaV39dvRcjxJoOY7DjJqCdL/jCWNQkjieLAa1zrxml5GLcdCJwGnjPI8XILgJzCzJsjshOgzJZBKpVGridehOgIZNZMedoTvMadLvbObj42NGAP3GCkTmSqUSvvzlL+Pbvu3b8Ou//uv4iZ/4iZ6vvTBk7rkMInMf+MAHWHZflmWk02kkk8lAgkP3Ax1kJtMNN8GhzWLYsMhpyTPdD3XQVRU+0ABGI1qUoffKAsmyjFwu15Uhc7+3IGWX/DXykoGwiJVbThMmmeThzrZN2pc6bfAkHwh3DuS04c5sz8/PM6lYGGRuY2NjqARxGmi1WozIAWeH+uLiYlcSh0jsJM8435N2enrKpPG6rrOzwW3KQ6TO3atGvxRFgWVZTAJJPXe6rkNRlIFz53jS7vceO46Dw8NDFmwFVcniyW5QgSj/GtPuSe50Ojg5ORkol5NlGbFYDPF4PDCVzLRwnscLENxJqEQigXw+H+p9dRyH9ZtWKpWBPcaRSASpVGqqPaZkpETJ6VkoRfik66AxQ6QkKxaLfccgRaNRpNNp39VEd+J5lDXKkzmKkfvJcQWZOwcgMvfRj3504AKnpslpBmLuhRbmgER3torPptFDValUBh4+k8gzT09Pmc45jKqKW+o5alBN96RQKHhm1WKxGLLZLFRV7bIKD4tc8ZmnMOWP7izzrA5098F9nkgTmfKQFPe89PqNA6+eGCAcMhdmFZA3l0okEmw0Bj+jb9hzxvek8VJHvieN+tJoLfDEzD1+g76OhqBrmgZN05hxxvb2NgzDQCwW86xa0cB1r+QhnxTxS8h4N1cg2L2OPvsgZ3zSa0zL0KofgSMpmGmaqNVqQy3QabwGzSec5b5xnscLENzXGI1GsbCwEMh963Q6rNe01Wr5nsVK6qdpx5QE97MJhD+A251oda8TP06TiUQC6XR65Ot2n7nj9G26ydwgCDJ3DkBk7j//5/+MaDTKHG2GLbJ4PI50Oj3xJubusQkzEPd64PsF435mlwBnpNevPNP9sAfdiDzNiqht22yg9zCEVS0aV8owDfDZN1VVAzdm8YL78z1vpMmdvJmFBfYkoMO3UCh4ypBpHmFQ9ztMMkewbRunp6cwTROSJKHdbrP3vra21kXSWq0WLMuCLMusokb3wk3YeJJGMkcid/yoDD/3kiTsiUQC5XLZ07CD3xvc94+vSI0iX+QTckFK67a2tmBZFjRN62rrmCYODg7QaDSgKErPiIBRQFVWd7KDXFQHVRSoilOr1VCv1305xfIkL8hk6HkeL0Bw76+TumfyVTXeHGhcqKqKlZWVwFsB3KOawnC+doNfL1QNJPO5UqnUtydwGkWTaalhBJm7YCAy9zu/8zvI5XIwTZP1i/GHb71eR7lc7jto0DAMVv4dJ5hxyxbCzKK4CaXf1zdN05c8M5lMDrTJ5a15geCdldyb/jRIT6vVwunp6cBBlGHILt29iWH17wG9ks9ZHCLA+TZIAbqJLxCcNG1SkJsaP1ybB1UYKMFD/ViJRAK5XG7qa30WZI5Aa5tkjEB3Xxr/dzIQAcCIGpG1UUiaH1BCLhaLoVwuY25uznMvo3vnVUUh+ewoRIYPmIKUrxHJAoL73Pn3Ms4ebVkWTk5OegicoiiYn5+f2GDCcRxWxavX6776rWKxGPs1CZk5z+MFCO793i9pGreqRiBzIP4ZB9Az4D3IyiAP9/k7C1mpe16epml91+u025mm3acuyNwFA5G5P/uzP4Npmmg0GtB1HbVabWBDMlnG9hvUqGka0un0SK5D7v6DsCsLlmVhe3ubZU38zJniMYk80+0KGfTsNsdxmHvctF+v36wggqIojOAGldl0E9YwrYfdmbFZkZVxmp7DgrsqHWbf7CAMcncFzvqVeJtnAs1tqtfrTPanqioWFhamsu7ofk3LcGRcECkCwHrRDMOArutMMhkmisUiqwR2Op0eBYBbFhuPx2GaJkzT7MmO+31O+eSbpmlYXl4O5LniK39BJcL4fXKUfSpoAucX7XYb9Xod9XrdFxmhGYk0s9AL5328AMEdvMuyzEZVTKOqRv2mvJNrP3ipnMK6Z+5YZlZnnbt668Ygp8lJ4E5gT8uESZC5CwYiczSaoNPpYHd3F7FYjPUu5PP5oQHJMMvUUbIQbrlc2Jp09+sPGqg4DKPKMzudTqhjDMLoW/RyL3ND0zQ2M3BapMtt/hKmy5g7QzcrY5Kwpbyjwi2JCWO0BQ/LslAqlfrO6UkkEshkMr6TDo7jMPkxfY9lWVhaWproOab7NEs7cSIxsyaUhGq1ina7jUwm09UfMg78Pp/8eqVh80HszzxhDCoZxO8Nfs4Zy7JwenraNWgaOCNwc3Nz56r6b5om6vU6arWab5JnGEbPsOVYLMaeN/f5P+2/+4W7AjUOvKpq41yPF/EN0y2TZpoSwjo/Op0OqtUqKpVK333Hr9PkJHCfn9OMFwWZu2BwkzmCu/k9kUj0WFQPgmVZTB/cD6lUCul0um/wfnR0xA6OWbgFuk1DksnkVORTfuSZPCYhk34QVt+iuyl3GHRdRzKZnNhB1L3hhVkpcxuThFkh5OGW8p4ngxR3RT7InkPHcVAsFlGpVDwz1YZhIJvNThwQkDT9+PgYuq5DkiQ0m00sLCyMdbhTlTVssstjGg6W00Kj0UC1WsXc3FzPEGSCqqpdg9YTiURXBXF7exudTse3qQjNLO035Hha4M+doPYLv32C/QicLMuYn58/VwTODzqdDpNrDmoJuOgYpao2DmzbxsHBQdc9DDPR5E5CB5kspYR8pVIZKvENq6UhDGWLIHMXDPxogoWFBaTTafbg27aN4+NjyLIMTdNQLpfHllDQA1EqlfoG84lEAqlUqiuz4K7qhDnkkeAun0+7uuFXnmkYBubn5wMjA2H1Lborn+l0Gul0GrVaDZVKZWAmNRKJMII3SkDprpSFab7hrhDOSlLovo7zJh1yP+vTeM4cx2FW+17Bm6qqzKUxqPtAz5VhGJBlGc1mE+l0GqlUyvdrkgnGrIgUSYcHDesOC+12G4VCAWtrayiXy6hWq8jn81379Pr6OnZ2dmCapmdyatQ+sVarhf39fciyDMuyAkt48XtjGO6YXu/juUbgvNDpdHB0dNSzJ5B0mOAOUWfxdy9Fj67riMfjE1XVxoFlWdjb2+u6pjAVL+5WmGkn+SkJV6lUmGxxGCRJwqVLl0JLjvLyayCY5DTJZl//+tcLMndR4DVnjkC2qJZlMYlPq9WC4zjI5XITkQp6aEql0tCZGpFIpEuPPYtZIY7j9GSAg8zCDMsGqaqKXC43dULi1l8H6S7qrha576dlWYzgDcqIUdbdz3waPuAL23XSXekN2yqZ4Cbts0iQDII7eTLqfRo0HxFAl4kHELz01N1fFIlEoCgKTNOEpmm+ZOyzND/hX3/WVTmyu79y5Qrq9bqvSr/7nvFJAz+BULvdxv7+PlRVhWVZUBQFS0tLUw+g+Gx7kGcLDZ+XZRlra2sArruWup8ZSZIwPz9/oVxn+8FxHFQqlZ6+JjIsOi/9xMDZWjg8POwim7qu98x7DAudTgc7OztdZDNMgy/qSeYTDJOqS8jgqlKp9O2RBq6b2Om63lUNnMY1jAL3uT3NhLRt2ywe73Q60DQN9XodP/qjPyrI3EUBb4CiKAqKxeJA+QHN8CmVSojH4yNJL4dh2LR7WZa7pFGzcOlzkx0gnJ4+d2XJjWGS1VERVpXOS3M/aIP0o1UHBs8AdEsUwiQz7vUzy/EBvEGKoii4fPnyuanSuauIgxzRKEgrFAqels/xeByZTKZr/Xo17E9TNmdZFpNz8qD+olqthmazCV3XYVkWTNPE4uJiXwnlLMkc9aWEOTbGC7Zt4/DwEMvLy1heXsZDDz3Ul7AT3DJFXl447LmnYI9PwEiShJWVlanvhfz+HmSlw92L91wncMAZeT88POxJCJ63JBbQKx8Ewu1Bc8OtogHCj7vcrQrjkph2u80q+f3gZc7mdQ/CJHGjnIV+0el0GHkD0PVebNuGaZqwLAs/8iM/IsjcRUG/njk6yEqlUk+5WZZlZvdeLpeRy+UCebiHmaoQZtGHZFkWdnZ2GLkc1flyXLhJlhc0TZvKZ+LuZQpyYK2bYI0inzBNkxG8QY5dlHwgWQpZko/6etOA+4CYVWDhbqY/bwYp7vVO2WAaYO9V1dd1Hdls1teYFPcaB8YPFjqdDsrlco+ZiiRJrFfO/drVahWnp6eMxLVaLeRyuR7Hs1mROZ78zLIqR0mfbDaLW265BQ8//HBXgAdcD3Loer2CTuqTi0ajSCaTzJKdhpkPQxB9cvw9DnKUyqCz47lG4MiIiDfHAKbX9z5N9HN/nuVIGa+1Ena/rlt2P4rjdqfTQaVSGRoT0Bgur2S8l3Fb2Goat3ppnNfnR3uQMRdP3jqdTo+Ud3V1Fc1mU/TMXST0I3NeaDabKBaLjNxFIhFks1nU63VYloVsNhtotsKPqUokEkEikZjYNMMv3A980GYlBLf9fTqdRrVa9axWUU/auPcjTHfRaTU2t9ttVCoVVKvVvgM6gbMAkA/kw3ZO5atj07IUHgfn2SDFKzPqRjabnWhej1dDvx+CTXJx3mCHMDc3N7AXj3qS+ao0rb1Op4NIJMKSJ5ubm9B13XMgdpCg/oygR6UMAknco9Eo7r77bjzyyCPsfvNkftBMp2kgKMMTIupB9SNSj6GX4mVWszCDQrvdxsHBQdc5KMvyxG6yQYAqzXyyXNM0LC4uzmzvdbcCAOETGMdxsLu7y55lRVFw6dKlvnu7ZVksmTvIMdydzO2H80DiJkmy0lgKin90XWfjKgCw+0oxobvqSTHR3t6eqMxdJPA9czfffPNIm0ir1WIyong8jlKpxIaHhxGQegVDXjAMA8lk0ldP1bhwb4JhDKzsN1/Ftm0UCoWeBnbgjGzmcrmRM2xuOWTQ8kA3WZ1G5YrW67BKL3AWuBmGEcqh6t64wzRn4TFrgxTqkazVar6d5qZ9yNq2jd3d3a6gwIvgm6aJo6OjobbnXt/rJs4AGHGTZRknJydoNBpsCDlllsM2zjkvVTlK3r3oRS/CU089hb29PaiqimazOTBR0w+yLDPjCHL94xUVfJAtyzIcxwmsakWVQlVVcfny5an8TD7pSQEwjRmSZRmyLKPT6SCfz4eW9AwSXsO9gbNgNZPJnKsqHOBd9ZqllBLodXxWFAXLy8uhk0peLQP07p+O47A++kFnxDgxn9fIh7CTu+44y09fv23baDQaKJfLaLfbzD2Z0G63oSgKG5OgKAps28bW1tbA/bPRaOBtb3ubIHMXBUTmPvShD8EwDBiGMXIA1263mVRIVVUUi0Xk8/lQA1K3rnoYSGYz7Rkg7kAtjPlig+QItPmdnp56yg36DUHuhzCrdO6RCcB0JbXkdFipVDyJrxckSWKBINk+TysY4mfmSJKE1dXVmQRa7urotCWg5N5KxG0Y4vE4G/QrSZJn5nTalUS3jBo4W+sk3XFfH28I5dX3ksvlPI18+hF3vuJHpA44O9wp0RA0qGocpPRvGKi38PnPfz4KhQI2NzcRj8fZniNJEiRJgqIobB937+fkagkMNzxxB1OyLGNhYSGQ+01GJMBk8lnbttkeTwPUKQlgWRai0Siy2Sx0XUe9Xsfh4SEjsJZlwXEcZDKZQOdhBQFyGOXDSFVVsbi4OBNjqUHoZ74yq8QdwW02pWkalpaWQm9bcSfD8/k8EomEL5fvSUcYnQcSB/Teg36yVqpElstlOI7Dzj06J9rtNvuzl1Ls5OTE11gsQeYuGIjMffzjHwdw3ektl8uN1IRNPXbHx8dIpVKwLAvNZhPz8/Ohbqx0WBEkScLi4iJzLRrXNGMUeGUKw9i03dk1r9c0TROFQsGzmmkYBnK5nK9NjJ8BOI2G3EFwb7ZBVgW9DFlGhaIoXQNZ3ZmyQXD3DoZp+8zDbRAyrkFKu91GrVbrKwHmYRgG4vE4YrGYr2DCneGWZRkrKytTJXX9BvQqioKFhYWBFW4v0gkMr9rbts3mUCqKgk6n07fvY5iUc1ych6pcs9lEuVzGjTfeiFqtht3dXeTzed/nCf8egOHvw2vNLy4uBhLU8YmbUe+vbdusn900zZ5RPpZlDV0XlmWxcR1UvajX69B1HYlEIlS7+1HgZVwEnCVNRxn1ERZs28bR0VEXGVFVFUtLSzOTUtKsTb4CZhgGFhYWQk8eus+7YSCDkmQyOTHh9HLonAWJc1fJ3Ml4mktcrVahKAr7jCRJgmVZsCwLyWQSlUqF/Z9t2yzx3a+XexAMw4Cu6/ie7/keQeYuCvieOVVV2TDNdrvdtSD8gpr6y+UyEokEms0mVFVFNpsNdaPwyo7zD+q4phmjYBbOl16HXb+qBX1WbskXYdgB6Q5Wg26Q9sreBUV0vKyQqWfGsiy0Wi32y+88Gh4k76JfNMiY4K7wzmrYuF/t/igSSVVVWbVtGs+C+1mfhkTIqyrsRj+DAq8xJm549YHQodtsNhGJRNBqtaAoCpNf0tf0k1BPM6ClZE0YygIvmKaJ09NTrKysoN1u4/j4GPl83vdnyhM5WZaxuro6lMjxCbggKzy8isTPaAReQVCv15kawHEcWJaFdrvNgjkew84aGmpv2zYkSUIikYBhGMwsIRqNsmd01iTJq5dL13UsLCycm95eHl59vrM2X/Hal2Yxa5TWszs+c0OSJEbcpvkceqkuwjZ3Ibhlpaurq2i328x4kFccAGCjUdLpNGKxGGRZZjMhidxls1k0m82B1Uwv0MzVWCyGbDaLtbU1zM3NCTJ3UUBkrlQqIZFI4OjoCFevXkW9Xke9Xkej0YBt20ze45fU2LbNFqRhGKjVaoEP5/WC16ba78E1TZPJqAYtzUQiwRyQ/LwXy7Kwu7vbVZkIOjgfZ7gmBVBem0A0GkUul/PcVHkTjzBcId1DM4OWeo7qdkiDXnmyN6oxgyRJ0HW9i0yMK3ejNcD/Puzf3H92D1E1DMMXiXVLJIOEO+DTNA0LCwsjBQJe0i2g20XTHVQSye9HAC9dugRFUXoMVvjvbzQacBwH0WgU9XodkiQNnT9HvbFepDGVSiGTyYyVQOOJ0CxGIdBc07m5OTbiYW5uzvd+ydv8RyIRLC8vD/0evlIWpAkFn3gYlGQjA4NardbV00eJJEoyus8gr2ow7Y/9pH7A2fOcSqXQaDTQarWQSCSg6zoajQY7w6eVfPGLfj3xs1Ir+IFXP+ysTWa81CZhEMtOp4NGo8HiyGGguCooUuUVh82KxPUz9eKrbgCYTDqVSvUoxmgcD1XfxqFTkiSxXrrLly/jhhtuYLENzw0EmbsA6PeBNZtNPPPMMzg4OEC5XEatVmMBqeM40DQNqVRqqE7ZsiwcHx9DkiTIsoxarYbl5eXQS9leh5wf6186VIdpjAdZ3Pa7Bl3XAxk+y8NdtfDritTPLplAmnbaXNzvLWir/VEdryaFbdvY39/vMryY5D1SwEZkr9VqDZUhnmdEIhFG3GZRQSR4uUvquj5Q7s1XZWg9O46DdDrN+hLcoMqqn94DN+bm5iDLMg4PD1lFJB6PMylqv6TJIAx6Xt09fcNwcHCARqMxkzEVJEvLZrPMyIOvTA4DL9vyOxePD8AjkQgWFhYCWcP8HsknoGgvIKUIT96oisFXEfzIzPtJfHkkEglks9me90rPEGX7aZ+nGICIXVDtE+52AeCMbM7Pz890b+kHL9JJg+Vn2bvn5dCbyWSmalBH7TVE2Aa5SboRVqXSi8TNahSQm8S537vjOEgmk0ilUn3XDs2+1DSNySx5JBIJmKbJYhWv84uq8NFoFFeuXMGNN97Ycy2CzF0w+PnASqUSvvKVr8CyLDb3zf3RDVuE7XYbe3t7iEajsG0bjuNgcXExdI12p9PB7u5u1+E4SubMbfvaD4MkAm6CFYbzJZ95BkavZpHJjVc1hsrymqZ1NdeGMabBHbQEfS8ty8Le3t5Qt8NpwLbtLrLnde/JAGLYn6f5/7T+ecyi12AQvCTEkUgE+XyeXWe73cb+/n5fmTX1DnnJkCk5NYiAa5qGbDbb08CfyWRYJjWdTqNWq6HdbiOTyUwlS0ymR16GUIZhDOw7m2VVjqTNiUSCmXoQ8fUDfi/wW8XmiUM0Gh2JOI4CnmSSNJD6YHRdhyzL7DlzkzdKfhJZp6+jhJob9Xodp6enfQNrP+cd9dTx/YNUYSey12q1mGPgpFVMqsa697hZV7UGgWIaPhYK4ywfBsuysL+/36UGmbSaSUOm6/W677aCaDQK0zR71mFY1TCvszpMEudnPBJJJhOJxNB9h/Y3qrKbpglZlpFOp9lYHjK04U2zCGRwGI/HceONN+Ly5csDz2xB5i4YRvnAyAr/8ccfZwO9KXvn3rzoMCJLZ/r/RqOBo6MjRCIRmKaJeDw+E/vgaW54fl0RZVlmBE9V1dCdL92jDMatZpFBg3sgK3D2HlOpVNf/hbGBurO5QQcBbhkrEM4sGq9s66xkR6NImGeFQdIyHtRvBsDT5px6qA4PDz0ls5lMhvUaEXi5Hj9qwzAMZLNZtFot1Go1JnMJcmzK8fFxD/H0csbc29tDq9UKbKbaIJyenrLgotlsjhQU8wkyv88DL5kNsnfIbcRCJga8qmFYKKTrOqLRKAzDYGSd1trKygozi/EicAsLC9B1nfW+UqDntu7vdDo4PT31NH+am5tjsksam0GqllarhXq9jmw2O3Jl3kuWGIvFRiLxYcPrmmfxvLgxjUQ1fb40O3gYVFVFLBZDLBZjLThepi+6rmNxcTGUyqpt29jb2+vap4MewN5qtVhl3Qu8McmoYyioskhxtmmaPRJtL48I4OzzMQyDVeK+6Zu+yRdxBASZu3AY5QPjYds2rl69ygLLarXadQi4Fws1WadSKSSTSdRqNZTLZSiKAtM02bDCsNFPipDJZCb6uSQ/oKb1fiD3UB5BO18OGmUwDlqtFk5PTweaRei6juXl5cDn7rnNX4ImWO57KUkSLl26FHhTvtfA2VnI4gBvSdesZCz90C8B0S/Y8TILoOGrfJDivudeckeSX5dKJVYtKpVKSCaTXVLlMEBmIu75eNSjR9W8sKty5XIZtm1DlmWYpjmS/IpP5PjdO/ngZ1rVFOqVbTabbKQCnyGnYIwPtmlfBNBF+BYXF2FZFiRJgmEYWF9fRz6fx9///d/j4OCgJ6EgyzKy2SyKxWLPeSLLck/1mZcTe0GSJMzPz/dNMtBsK156CVzvk8pms6xa4Ean08Hh4WHPGgw64J4EXoZYsixjeXl55mMQRm0hMU2TySL9VtlisRii0ehAp2HTNLG7u9u1psI0ffFqhZh2LOVXmUXQNI3tC6NeCxnotdttNhuSkqWdTgeVSqXLPIVA45NSqRSi0ShuvPHGsdapIHMXDOOSOR7NZhP3338/2u0200+7Nwmvh5k+fnLs6XQ6U58X5RdeTcLTHuRJma9hc1MIQQfE7tl80zhMyfjGa5MBwtncbdvG9vY2C2A0TcPKykqgr+muUimKgpWVlcAzkV4GLdNIRowDr8zwrOcoueEl59I0jZk7ecE9iwnwlwChMSk0u4nGglBD+6wrD4MqMcCZLJUcDYMMWKk/iwKfUZQa/GfjtyrMP6vj7PG2bcM0TZimyQiNoijs+ukXzXnjEYvFsLCw0GPJrqoqotEoG4Y+Pz+Pl73sZdB1nZ2HlmXhf//v/81mupLkmaSPXnsuDU/udDooFosDK4CKomBubm7kM4AkXxTgRiIR9v5N02RmPGTYwOM8yBIHwTRN7O3tde1ps3CA9ILX8HF6Bmh8BUkjBzl2EzRNY6RtFPdurx7HMOWxQZE4UlxVq9WhxI0MiYiAUQW91WqNHMdRUrpWqzEpfzweZ+O++kHTNKTTacTjcdx0002Yn5+fKH4UZO6CYRpkjkAHyle+8hW0Wi1WsqeHzK3jdf+d7JYdxwlFstbvPbirO0EeOCSZqVarfR9URVGQy+W65KrTfH13xnGahLrRaOD09LSvm2MikUA6nQ7ks3YTrDCGH7vlDmGY3ADen6NbRhUWvBrOz1vvi1elTlVVzM/PM0LgNVrEjUGVPXLzTaVSbEZQJpM5lyYOXoFhPyiKwqRVk87kbLVaKBQK0DSN3R+/4F1t/Z4XfBVjUNKDbP950kZjdjRNY88znV9kOEBGQFTB4F3p+s3TIgnljTfeiNXVVZycnGBhYQGO4+Cpp55ixjwrKytdMl+yHzdNk8mpyuXy0NEgPDRNQy6Xm2pFjIYak9MeETs3iDTQLM7z9Fy4E53A+ZBSAt5jGryqr/1Az240Gh37nrtHeQBn8VyY5nZeqqpxzxm/rTLAWczCz2KkGO709BSGYTAiPU4fOcnxvXrevEB7Ju03L3nJS6aWPBVk7oJhmmSOBz1ojz32GNNgt1otpuknAxRN04YONFQUhdnWhlW1c5zewZpBD8cm2LbNSuheG3QikUAmk5nqvXAHG0G8134DmHnous5cUqf12u4ehzDkPO4DN4yRDYB3MmLaFWa/8OpdOG+24rZto1qtdlXevA5S/rq95ET8PW42mzg6OkI6nWZDnMkg6Lzi2rVrALqNbEhKR9l9P8e1HzkWwTRNVrmMRCIj9QsfHh6yiqLfMS/8/kP9yVRV4pOPkiRB0zSoqtrV20YSKyJP1CekaRr7uaqq4vLly56vz/fO8Vbj1Dtu2zY0TcP8/Dx2d3dZgq/VaiEajcKyLMRisa6e53q9jmQyyRIOtN4GYZgJziTwcpOdBMPmcU4TXntn2ASFkgiWZaHT6XT97vcZBK4nCGKx2FTnBFqWxaR/hCCNg7zglWQbtTew2WyiWq36Im79xlBRnFapVBCNRtHpdNBut0dyMfU6f4aBTFMMw8Dly5extrYWSJJBkLkLhqDIHA+qkDz77LNoNBqoVqtot9uwLAuO4/TYNFOvitcGRD0HRPASiUSgGzyALvMC4Ex+FKYTJ7mIehHeaVft3JWlIIJvL1nEIAyz6vUDLxltGJJetwQlLImOV8/XrIbWemVQZ9Xf1w9e7pfAYHt7r0Z/+h4aw7KwsHCuDGG8QFWIQUSEB2WxieT5sSPXdZ1VBDRNg23b2NnZgaqqSCQSI62FnZ0dliBYW1vr6f9y/04BsZtg8EYk/C/btlkATdUjquD2y7bzRE2WZaytrfW9fnKJJFdn930CwKpsAFgSk78eIoHkiAmcSexojJAXgtrvBhG4RCKBXC7neVbSzLxWq8XGtPitLvFQVbWL9JE7qF+Ypon9/f0uEjyqCQu/ZryIWKfTGeu9DYIkSV1VtiDjEa/K/bTHHAyDV0vBsGqpX+8CAKyHedh+TfFYs9nscuwcNP6GrqVer/fMbPUDRVHYDD7DMHDbbbf5mp85CQSZu2AIg8zxaLVauHbtGnZ3d5kDV7PZZANz0+k0O6woEOadgAB0HbwEy7ICJ3juCo+qqlheXg5dHjJIujitqt2kowz8wMvEgw4HMkTwwiTVO3cFMqyKmXvthEWsvOQws+pT6dffF2ZAMAxeFXkAzKCpX+/vxsYGqzA1Gg3k8/lQBqVPCp6ErK2tTRwQjmJh7ldKNE3w5waZckWjUUaSqBrnBs12chynbyXQ7Vp55cqVLsfK4+NjltAwDAOtVmvo+6fKUDqdRrVaZXLPRqMxtAKXyWTQbrfRaDTY9ZKUeNIziwLT4+PjnvfQb37duK9DRI9IXz/J/iCQKQRP+lqtVg8BlWWZVUGJiIW1RhVFYevPq6d+Fvu2l3Nn2EY1XueGV5KZPAncZnxuSJLUVXHzi3a7zdRS0WiUxa1ec0HdJJL/zPyuJ776v7KygrW1tVCTsYLMXTCETeZ4tFotPPPMM9jf30ez2WTZDh7pdBqKouD09LRrkOry8jIbtEqHlXsuVqfTgSzLbCivpmlTeRDc1RZZlrGysjIT45Ygq3aO0z2YW1VVrKysTD0DOMjEgzbFcrk80DRm1OqduwIZ9FgIgpskh9HHB3iTFD/Dh4O6Fnd/36ykoIPQarWwv7/fdfjSbC+6TgryyWGMekDP0/sYBJIrplIp5HK5wF6HJJtkGBLU0S/Lctcvqr41m01YlsUScON8PtRjadt2F1FzY2NjY+j7I7kkX9UkWZwkSWi1WrAsi80qdKtDxoEsy2x/HNeYIQwCNypImkiEj0hfGOGlJElQVZURMUVRuv7sluoOglcvnKqqbLREWPDan1VVxdLSUqgxjpeahkicXzM5SZJYxW2ce0gqhGKxyPpSyZgkm81CVVWWcCiVSoy4uRNVjuOwZ4Ncar3WJ70GzYO7/fbbMTc3N5PYUpC5C4ZZkjke7XYbV69eZRb3g4J3WtidTsezx4MIHlXn+I2UBi1Og+B5bb6zMm4hBFG1c1sfBxX4+Q3yLctCpVIZWL0ja95hRNYdJIUxJ82rWham7ND9nsPqBXXDSwp6Ht3tOp1Ojx18MplEpVJhSSQKumbtUDkK+Cp1mKMIqIIViURGkgqROZZ7T/eLjY0NyLI81mxNwtHREev9vnLlCgD4CirJbKKfK54kSWz9tNtt5PN5NtvtiSeeGDjcfmlpCcAZMff6mkwmg2QyyeSdVKUCzkgduU32qzrXajWcnJycKwI3CjqdDo6Pjz0rxeQg6kXIwniW+w1Lz+VySCaToe6DnU4H+/v7XQmGWTh3esUB1F866BmjuC6ZTE4cg1HiolwuwzAMRCIRtt/HYjHU63X2LLv3I9qnaKYwjaUhYxP6GoKqql3OwSsrK1hfX5+5PF+QuQuG80LmeJimiS996Uuo1WpssK5XHwARsXa73TcIdxM83omMsiOmabLS+zgNw4MsgmeJaVftghhl4IVRHUX9Vu9SqRRSqVQPmXUcB/v7+0wCJUkSLl++HMpYAff7DNMxzW25bxjGTAiJF7mdVdVwENy9nnx2NZfL+R7Gel5Apidhy6aIRJJNf1ig/jJFUbC4uDj2z9na2mLz8LxA/S2VSoVJIefn51EqlYb2CSeTScTjcSwvL+OOO+7A/v4+rl69CtM0h8rHCETW2u12XwKYTqfZmUp9gpIkscHO9Xq9L4GbtvlWELBtm9m789B1fWhvU9BwHAeVSqXH9CIajWJubm4mbRvupPQsjKq8SFw/yLLMKm7T/CzJkKRarbKfzSvG3OeR+/lw+z94SfaBsz1C13Ukk0lEo1HcfvvtyGQy52o2qyBzFwznkczxME0TDz74IEqlElqtFnMh4pcOPTztdtvXfBGa10GNqLwtMm81bVkW68Hz01Q96vDOsDGNqp2X9MGvm9yo8Ary/WYKLctiLqn9thl39c7tthkWofCSmYY5n83dFxG2wQ8Ptww1rJ7GYXDLcoeBTD3ClEeNAj6AC3tAOBliDTKXCQKO42B7exuyLGNpaWkiW/aNjQ2oqopOp4NUKtW3GrC7uzuQwKVSKSQSCRSLRdTrdSiKglQqBcdxYBgGM5gxDAOFQmGodJACRJK00tfLsox8Pt+TvHO+PkKjWCz2tbe/KATO67wAzgLn82BE1G63cXBw0NPrOIsYgf/ceYSZhDZNk41lGmSixHshBEXCKV5oNBpIp9OQZdmz7ccLJN0m06tKpeI5HkSWZRiGgVQqxfrgzkMFrh8EmbtgOO9kjken02HEjiybyRUMuF6pM02TZcr9BIGkueelGDT3iF+i1BQdi8UQj8f7Okh5DU8+b3O2Jq3ahTHKgIc7yB/19UhjT4Y7/UB9dzy5CStL6eX6GPTgeB7uyqumaeyQChvuquGsCKbXvCm3GRBlc8vlct+gJIiRG5OAqnJBJWIGgYhx0H16XqDqmG3bE1XnbNvG1tYWk0cOekbpXgNnpiimaeL09HTgPpRMJmGapq9gsl//jSzLA6+NnwfnRpDzP6cJx3FQLpc930OYCbF+8FJfALMdF+N24NV1nVVkgwCNVajVar7WcyaTYSZ2QcM0TZRKJViWhVQqxeaP0hkcj8eRSCRgGIbn56jr+sBkjSRJiMfjSKVSWF5eRi6Xw+Li4rlPjACCzF04XCQyx6PT6eDRRx9lGxPNCaIZQFRpSafTIxkS9JNAAGeHI/8Qkja60+mwYbHxeLyr0XVvb68rwDtvc7YI41btwhhlwMPd7zWJNLDT6bDeOz9bURCOnl6wbRu7u7td6yas1wZ6DX5m5doKeBPMSaoqfuCV4R/1HpDsd5Asrp/sN2jQsO14PI75+flQXxsA6vU6Dg8PBw7tDgqO47CRCJMaC7TbbSav7yfLJgm4W8bmhStXrnSNxzAMo0sqGYvFkEqluvbbWCwGWZb79uK51QVUgfCSfk1jBExY8EqyAL0GRbMCrXEemqZhYWFhJveX1ip/zk2bUFLCtF9bzCCEWZ0kU5Nyucz67MhMLx6PI5lMdjmouxOswyDLMkvcqaqK9fV1XLly5UJJ8AFB5i4cLiqZ42GaJjY3N7G5uclsm6lJnfoBgLMs9Cgbl9cGGIvFkE6nWQMszbzjQZU+VVUZwTs5OenaEMJyTxwH41TtCoVCV4AQNPlwSwN1XcfS0tJEG6bf6l0kEmH9lUGSCsuysLOz01XhDdNgxx2QKIqClZWVmZA6N8EM4lq8stbTktr6Me0hCU6QIw1s28bm5iYADHRkDBL07M4qsUXJoHa7PVF1DgAjX47j4MqVK2xeIWX7+2FpaQmRSKSLvFGvNp0T0Wh06Ow1Gl3AG3n1k9B5IZ1Oszl25x2NRgOHh4c9ibfzMt6EZhm6A/9ZJnDd+yYwuUqI3BuJtA0bkRGJRKBpWk/CwTCMqYzJ8Au3qUk0GkW9Xke73UYymUQsFoNlWajVaiiXy0PfFw9N05h88tKlS1hZWelrKnRRIMjcBcNzgczxoA318ccfh2maqFQqME2T9cA5jjPyPCWvZmo6RImw0HwlGohOdsT8Evc6lNPp9Ll/6P1W7cIaZcDDnaGddhWJqndemWw3NE1jA1xpVuK0roHv5QPCGXhOcDfIz3IUh/taJEnCpUuXJrqWTqeDvb29rsM76OfST+KAMrzJZHJq63lrawuWZYVqtOMGVddnJT2nbLuiKMhms2MnRyg49BqWzYOveB0fH/cEtZIkYWlpCZqm+aoCxONxZoveDyTl9DKEymazSCQS596FEjgj3EdHRz1nTzKZRDabnXm1ox9xHnXo+LSvye0SLEkSVlZWRl7rnU6HkbZh5j188lrX9b4S2LDJLcngS6US0uk0VFVFtVplzubjjrGgge26rkPTNLzwhS9EPp8P4B3MBoLMXTA818gcD9u2USwW8dBDD7EHutlsotlswrZtNiA0l8v5Pti85B39bITdTprDnJDcNsm8VfKsDy2Cn6qdrutdRjBhzFJzV5HIgnzaAYtpmtjd3R1586eNnyzKxwEZRxDCrpR5mYCESSqHXcuoVUsvF9pZkhxKPnk9WwRSBozTNM+/37BNT3hQFX+W5lCnp6fQNA31et1XdY4y9pSsG4RhzqYnJyddgTY5LBaLRU95Gp0F/Ot6PXetVgvHx8c9xEeSJKTTaaRSqXNzjgxCv1ECsVgM+Xz+XJDQVquFg4ODrgQtuYHOypHQsiwcHBx0rZNoNIr5+fmhn7tt26yvbZAjNHC9Dywej7ORAcOuQ1EUlrAIC7ypCZkKVSqVoT1u/c52WZbZe45Go7j55pvPhbFOUBBk7oLhuUzm3KhUKnj66adRKBSYm2W73WYZeZphNGijIpimif39/a5svp/+LdJrk/3ttEGDct0zc9z/Nq2Kw6CqnRthBG9BVG680M85LR6PQ5Zl1Ot1XzINXdfZsGC/IzHcJCRsoxIvEjSr+Ype1zJM4uslPToPo0TcoBlf5XK5bwCiqirS6TRbd4NARhyznoVJZGaW95wMr1RVRSKR6LoOGgNQrVYHPsO8y56qqtjY2ADgr/LgJnRuUK83/5nato2dnR12TdFoFIlEwnOIt6ZpyOfzU1UIBAnLsnB6enouRwkQ+o07mLW6xmsPzGazSKVSngnkZrPJqm3DQnCafUa9mYPgta/OwujFNE0Ui0XYto1EIsGSZO5n2TAMNJtNz9lvBDqf6feFhQXcdtttF0KWPCkEmbtg+EYiczyoz25ra4tJ6RqNBjqdDiN1wHWTE8Mw2KbGZwa9JA3A6C6EjUYDJycnrM+PXp8yf3xDbpjwQwxJUkqV0EGVBSAcB71pVG78wuswdfcDmKaJer2ORqPh26GOr+Z5HaRu4hq2jb+7UgiEa9Qy7Fr4Z9BLDqUoCpaXly/Uwdxut9m8tH7wciIkd1Bd17GyshLGpfbF0dERarXazKq6hOPjY8Tjcc8+LDd0XUcikegyuHKDd/h1E9V2u41SqTTQGMIPuW232zg8PPR0TTUMA/l8/lwQHz8476MECF4kRdd1LCwszHT9uh1/ge6EKSUlarXaQOt/4Oz9UBJ7lPfUj+CG6cIMXE+SHx8fwzAM6LqOVquFer3OTE5otAF9nl4kTpIk1iYRiUSwvr6ORCIxMwOwWUKQuQuGUqmETCaDra2tbygyx4MI2dWrV2HbdlfVDugdFAlcJ1V0wOu6jmaz6ZmZGrU527ZtlEolVCqVrioaDXbNZrNDTRJs24ZlWZ6/Op0O+/8wH8FOp9N1UCwtLQUe+JMchkdQr0vryH2wzc/P961I2rbNDp1Go+GLrPO9eZqmodFodEl/afhsmKTOTZwXFxdnEoxRxZxf1+75WZFIxJf06CKA5ONemWeCpmmscj6qCdS0QSYzrVYLly9fnulnYJomc7Tjk3GGYSCRSIxlRMPvN5FIpG//G5ndKIrCEkEkm+aDzE6nwz5fv9B1HdlsNtTnz7239wNJ3bzMWQbtk2GDeu/dipO5ubmZjjugUQe8Sy6RlVarNbTfUpZlNlrJrxLEC17najQaRT6fD/WZpr7VQqHAkp6NRgOxWKxrvAFJP71IraqqiEQi0HWdOcbecsstvqqRz2WUy2Wsrq6iWCwONeu7OOnQ5zDokFhdXZ3xlQgICAgICAgICAgInAdUKpWhZE5U5s4BaKaVl4GHgMA08elPfxq/9Eu/hKtXr7KM5/d///fjAx/4wIyv7LmDN7zhDfj0pz+Nr3zlKzM1uRA4P9jY2MALX/hCpNNpNpZgVvjbv/1b/NRP/RQeeeQRZDIZ/MRP/ATe9a53fUNnwC8afvM3fxPvec97MDc3h+c///l45Stfide//vWwbRsvfvGL8drXvha///u/P+vLFBAQmABURffjSC7InIDANzA+/vGP495778Xly5dnfSnPGXQ6Hebiub29LYJkASQSCdRqNRQKhdCHdPfDk08+iR//8R/H5z//eRwcHHzDSvwvIjqdDmRZ7jFnIROmnZ0dse8ICHwDQTztAgLfwHjLW94iiNyUoaoqPve5z+Hw8BBveMMbZn05AjPGG9/4RtRqNbz3ve89N0QOAG6++WZ85jOfQa1WE0TugkFV1R6y9t3f/d04OTnB5z73OUHkBAS+wSB65gQEBASmjJtvvhm/+Zu/iWeeeWbWlyIwY+zt7WF9fR2/+Iu/OOtL8YQI/J8buOWWW/C6170ON95446wvRUBAIGQImaWAgICAgICAgICAgMAFhEjJCQgICAgICAgICAgIXEAIMicgcE5w7do1/IN/8A9mfRkCAgICAgICAgIXBILMCQgICAgICAgICAgIXEAIMicgcI5gmibe/OY34/bbb8cb3/hGTLul9dq1a7jrrrvw/d///bj55pvx1re+FZ/61Kfw0pe+FHfccQeefPLJqb1WtVrFa1/7Wtx5552488478Rd/8RdT+9kCAgICAgICAgKCzAkIhI7f/u3fxvr6OgzDwEtf+lL83d/9Hfu/Rx99FO9+97tx9epVHBwc4HOf+5zv7/X7NY8++ih+/ud/Ho899hj+6q/+Cn/7t3+LBx54AG9/+9vxW7/1W1N7vb/4i79APp/Hww8/jIceegj33HPP2PdMQOC5gLe85S2zvgSB5yjE2hIQ+MaFIHMCAiHiD//wD/HOd74Tv/ALv4Avf/nLuOuuu/Ca17wGh4eHAIBbb70Vz3/+8yFJEl70ohfh2rVrvr/X79fceuutuPXWW6EoCm6//Xbce++9AIA777xzqq9355134q//+q/x0z/907j//vvFLCsBAQEBAQEBgSlDkDkBgRDx67/+6/jRH/1R/OAP/iCe//zn44Mf/CBisRg++tGPAgAikQj7WkVRYFmW7+/1+zX8a8iyzP4uy/JUX++WW27Bgw8+iBe84AV45zvf2VP1ExD4RsDx8THe/OY3Y21tDb//+7+Pm266Ca9//evRbrdnfWkCFxxibQkICACCzAkIhIZ2u40vfelLrBIGnBGoe++9F1/4whcm/t5Jfn4Qr7e7u4t4PI43v/nN+Mmf/Ek8+OCDI12DgMBzAe94xztw//3347/+1/+K7/iO78CHP/xhPO95z4Nt27O+NIELDrG2BAQEAEHmBARCw/HxMSzLwuLiYte/Ly4uYn9/f+LvneTnB/F6Dz/8ML75m78Zd999N37jN34D73znO0e6BgGB5wK+8pWv4Ad+4Afwqle9Cul0Gq9+9avxvve9D4ZhzPrSBC44xNoSEBAAAHXWFyAgIHCG9fV1/P3f/z37+3/4D/8h8Nf44z/+Y/bnl73sZbjvvvum9lqvec1r8JrXvGZqP09A4CLiW77lW/Cxj30Md91116wvReA5BrG2BAQEAFGZExAIDXNzc1AUBQcHB13/fnBwgKWlpYm/d5KfP+vXExB4ruLXf/3X8cY3vhHveMc78F/+y3/B3XffjQ9+8IOzviyB5wDE2hIQEAAEmRMQCA26ruPFL34xPvOZz7B/s20bn/nMZ4ba9vv53kl+/qxfT0DguYp4PI5//+//PZ588kl813d9F9761rfine98Jz70oQ/N+tIELjjE2hIQEAAEmRMQCBXvfOc78eEPfxif+MQn8Oijj+Ktb30rarUafvAHf3Aq3zvJz5/16wkIPNeRyWTwYz/2Y/j2b/92/M3f/M2sL0fgOQSxtgQEvnEheuYEBELEG9/4RhwdHeHnf/7nsb+/j7vvvhv/63/9rx4TkXG/d5KfP+vXExB4LuId73gHXve61+Huu++GZVn47Gc/i//7f/8v3vOe98z60gQuOMTaEhAQAADJcRxn1hchICAgICDwXMT73/9+/Lf/9t/w5JNPolarYWVlBd/3fd+HX/mVX4GiKLO+PIELDLG2BAQEAEHmBAQEBAQEQsFb3vIWfPzjH5/1ZQg8ByHWloDANy5Ez5yAgICAgICAgICAgMAFhKjMCQgICAgICAgICAgIXECIypyAgICAgICAgICAgMAFhCBzAgICAgICAgICAgICFxCCzAkICAgICAgICAgICFxACDInICAgICAgICAgICBwASHInICAgICAgICAgICAwAWEIHMCAgICAgICAgICAgIXEILMCQgICAgICAgICAgIXEAIMicgICAgIBAi3vKWt0CSJEiSBE3TcMMNN+Cnf/qn0Ww2u75ue3sbuq7jjjvumNGVCggICAicdwgyJyAgICAgEDJe+9rXYm9vD8888wze//734z/9p/+EX/iFX+j6mo9//ON4wxvegHK5jAceeGBGVyogICAgcJ4hyJyAgICAgEDIiEQiWFpawurqKl73utfh3nvvxac//Wn2/47j4GMf+xj+5b/8l/gX/+Jf4CMf+cgMr1ZAQEBA4LxCkDkBAQEBAYEZ4mtf+xo+//nPQ9d19m+f/exnUa/Xce+99+JNb3oT/uAP/gC1Wm2GVykgICAgcB4hyJyAgICAgEDIuO+++5BIJGAYBu68804cHh7ip37qp9j/f+QjH8H3fu/3QlEU3HHHHXje856HT37ykzO8YgEBAQGB8whB5gQEBAQEBELGq1/9ajz44IN44IEH8OY3vxk/+IM/iO/5nu8BABSLRfz3//7f8aY3vYl9/Zve9CYhtRQQEBAQ6IE66wsQEBAQEBD4RkM8HsdNN90EAPjoRz+Ku+66Cx/5yEfwwz/8w/i93/s9NJtNvPSlL2Vf7zgObNvGE088gVtuuWVWly0gICAgcM4gKnMCAgICAgIzhCzL+Hf/7t/hPe95DxqNBj7ykY/gXe96Fx588EH266tf/Spe8YpX4KMf/eisL1dAQEBA4BxBkDkBAQEBAYEZ4/Wvfz0URcFv//Zv48tf/jJ+5Ed+BHfccUfXr+/7vu/DJz7xCXQ6nVlfroCAgIDAOYEgcwICAgICAjOGqqr4iZ/4Cfzsz/4s1tfXcdttt/V8zT//5/8ch4eH+PM///MZXKGAgICAwHmE5DiOM+uLEBAQEBAQEBAQEBAQEBgNojInICAgICAgICAgICBwASHInICAgICAgICAgICAwAWEIHMCAgICAgICAgICAgIXEILMCQgICAgICAgICAgIXEAIMicgICAgICAgICAgIHABIcicgICAgICAgICAgIDABYQgcwICAgICAgICAgICAhcQgswJCAgICAgICAgICAhcQAgyJyAgICAgICAgICAgcAEhyJyAgICAgICAgICAgMAFhCBzAgICAgICAgICAgICFxCCzAkICAgICAgICAgICFxA/P8BLIRDLwurKC4AAAAASUVORK5CYII=",
+      "text/plain": [
+       "<Figure size 1000x700 with 1 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "fig = plt.figure(111, figsize=(10, 7))\n",
+    "\n",
+    "with mocpy.WCS(\n",
+    "    fig,\n",
+    "    fov=140 * u.deg,\n",
+    "    center=SkyCoord(200, -20, unit=\"deg\", frame=\"icrs\"),\n",
+    "    coordsys=\"icrs\",\n",
+    "    rotation=Angle(0, u.degree),\n",
+    "    projection=\"AIT\",\n",
+    ") as wcs:\n",
+    "    ax = fig.add_subplot(1, 1, 1, projection=wcs)\n",
+    "\n",
+    "    moc_low_extinction.fill(\n",
+    "        ax=ax,\n",
+    "        wcs=wcs,\n",
+    "        alpha=0.5,\n",
+    "        fill=True,\n",
+    "        color=\"grey\",\n",
+    "        label=\"low extinction\",\n",
+    "    )\n",
+    "    moc_mash.fill(\n",
+    "        ax=ax,\n",
+    "        wcs=wcs,\n",
+    "        alpha=0.5,\n",
+    "        fill=True,\n",
+    "        color=\"dodgerblue\",\n",
+    "        label=\"MASH coverage\",\n",
+    "    )\n",
+    "    moc_intersection.fill(\n",
+    "        ax=ax,\n",
+    "        wcs=wcs,\n",
+    "        alpha=0.5,\n",
+    "        fill=True,\n",
+    "        color=\"crimson\",\n",
+    "        label=\"MASH in low extinction regions\",\n",
+    "    )\n",
+    "    # Sets labels\n",
+    "    ax.set_xlabel(\"RA\")\n",
+    "    ax.set_ylabel(\"Dec\")\n",
+    "    # Sets ticks\n",
+    "    lon, lat = ax.coords[0], ax.coords[1]\n",
+    "    lon.set_major_formatter(\"hh:mm:ss\")\n",
+    "    lat.set_major_formatter(\"dd:mm\")\n",
+    "    lon.set_ticklabel(exclude_overlapping=True)\n",
+    "    lat.set_ticklabel(exclude_overlapping=True)\n",
+    "plt.legend()"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "## Step 5: Query the 2MASS and Gaia Catalogues by MOC\n",
+    "\n",
+    "Without the usage of MOC, querying for sources in the low extinction regions covered by the MASH subsample would be tedious or even impossible. Indeed, one would need to load the whole catalog and make selections which would not be possible given the size of some catalogs. Alternatively, one would need to query the catalog field by field, which would take time and several queries. Instead, here we will use the power of MOC files to query large catalogs directly in the covered regions only. We will use coverages of the low extinction and MASH regions to query for sources from the Gaia and 2MASS surveys in these highly non-continuous and non-trivial shape areas.\n",
+    "\n",
+    "First, let's see which Gaia and 2MASS catalogs are available on VizieR. We could, as above, use the TAP endpoint of VizieR. But we show below the `Vizier` module in the `astroquery` package."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 25,
+   "metadata": {
+    "scrolled": true,
+    "tags": [
+     "output_scroll"
+    ]
+   },
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "J/ApJ/874/82 :  Follow-up photometry & spectroscopy of PTF14jg (Hillenbrand+, 2019)\n",
+      "II/241 :  2MASS Catalog Incremental Data Release (IPAC/UMass, 2000)\n",
+      "J/ApJ/569/23 :  Optical polarisation of 2MASS QSOs (Smith+, 2002)\n",
+      "II/246 :  2MASS All-Sky Catalog of Point Sources (Cutri+ 2003)\n",
+      "J/AJ/154/53 :  WISE/NEOWISE observations of comets (Bauer+, 2017)\n",
+      "J/ApJ/743/156 :  NEOWISE observations of NEOs: preliminary results (Mainzer+, 2011)\n",
+      "II/365 :  The CatWISE2020 catalog (updated version 28-Jan-2021) (Marocco+, 2021)\n",
+      "II/126 :  IRAS Serendipitous Survey Catalog (IPAC 1986)\n",
+      "J/AJ/112/62 :  Quasar absorption-line systems (Tanner+ 1996)\n",
+      "J/AJ/156/60 :  Thermal model fits for short-arc NEOs with NEOWISE (Masiero+, 2018)\n",
+      "J/ApJ/814/117 :  NEOWISE Reactivation mission: 1st yr data (Nugent+, 2015)\n",
+      "J/AJ/126/63 :  Host galaxies of 2MASS-QSOs with z<=3 (Hutchings+, 2003)\n",
+      "J/ApJ/742/40 :  Jovian Trojans asteroids with WISE/NEOWISE (Grav+, 2011)\n",
+      "II/311 :  WISE All-Sky Data Release (Cutri+ 2012)\n",
+      "J/ApJ/805/90 :  WISE ELIRGs and comparison with QSOs (Tsai+, 2015)\n",
+      "J/ApJ/760/L12 :  WISE/NEOWISE NEOs preliminary thermal fits (Mainzer+, 2012)\n",
+      "J/ApJS/190/100 :  NIR proper motion survey using 2MASS (Kirkpatrick+, 2010)\n",
+      "J/ApJ/744/197 :  WISE/NEOWISE observations of Hilda asteroids (Grav+, 2012)\n",
+      "J/ApJS/224/36 :  The AllWISE motion survey (AllWISE2) (Kirkpatrick+, 2016)\n",
+      "J/ApJS/175/191 :  Variables from 2MASS calibration fields (Plavchan+, 2008)\n",
+      "J/ApJ/784/110 :  NEOWISE observations of 105 near-Earth objects (Mainzer+, 2014)\n",
+      "J/ApJ/719/550 :  Deep NIR imaging of {rho} Oph cloud core (Marsh+, 2010)\n",
+      "J/AJ/127/646 :  Unbiased census of AGN in 2MASS (Francis+, 2004)\n",
+      "J/ApJ/780/92 :  Light curves of the RR Lyr SDSS J015450.17+001500.7 (Szabo+, 2014)\n",
+      "J/ApJ/759/L8 :  WISE/NEOWISE observations of main belt asteroids (Masiero+, 2012)\n",
+      "J/ApJ/783/122 :  AllWISE motion survey (Kirkpatrick+, 2014)\n",
+      "J/ApJS/95/1 :  Atlas of Quasar Energy Distributions (Elvis+ 1994)\n",
+      "J/AJ/144/148 :  Infrared photometry of brown dwarf and Hyper-LIRG (Griffith+, 2012)\n",
+      "J/AJ/152/63 :  NEOWISE reactivation mission: 2nd yr data (Nugent+, 2016)\n",
+      "II/307 :  WISE Preliminary Data Release (Cutri+ 2011)\n",
+      "J/ApJ/560/566 :  K-band galaxy luminosity function from 2MASS (Kochanek+, 2001)\n",
+      "VII/233 :  The 2MASS Extended sources (IPAC/UMass, 2003-2006)\n",
+      "J/ApJS/234/23 :  The WISE AGN candidates catalogs (Assef+, 2018)\n",
+      "J/ApJS/199/26 :  The 2MASS Redshift Survey (2MRS) (Huchra+, 2012)\n",
+      "J/AJ/154/168 :  NEOWISE: thermal model fits for NEOs and MBAs (Masiero+, 2017)\n",
+      "J/ApJ/792/30 :  NEOWISE magnitudes for near-Earth objects (Mainzer+, 2014)\n",
+      "II/281 :  2MASS 6X Point Source Working Database / Catalog (Cutri+ 2006)\n",
+      "II/328 :  AllWISE Data Release (Cutri+ 2013)\n",
+      "J/ApJ/564/421 :  Spectra of T dwarfs. I. (Burgasser+, 2002)\n",
+      "J/ApJS/172/663 :  Infrared observations of the Pleiades (Stauffer+, 2007)\n",
+      "J/AJ/135/2245 :  Absolute spectrum of the Sun and Vega for 0.2-30um (Rieke+, 2008)\n",
+      "J/AJ/125/2521 :  2MASS6x survey of the Lockman Hole (Beichman+, 2003)\n",
+      "J/ApJ/741/68 :  Main Belt asteroids with WISE/NEOWISE. I. (Masiero+, 2011)\n",
+      "J/ApJ/635/214 :  Chandra X-ray sources and NIR identifications (Ebisawa+, 2005)\n",
+      "J/PASP/113/10 :  Sub-mJy radio sources complete sample (Masci+, 2001)\n",
+      "J/ApJ/713/330 :  Spitzer observations of major-merger galaxies (Xu+, 2010)\n"
+     ]
+    }
+   ],
+   "source": [
+    "catalog_list_twomass = Vizier.find_catalogs(\"Cutri\")\n",
+    "for k, v in catalog_list_twomass.items():\n",
+    "    print(k, \": \", v.description)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 26,
+   "metadata": {
+    "scrolled": true,
+    "tags": [
+     "output_scroll"
+    ]
+   },
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "I/324 :  The Initial Gaia Source List (IGSL) (Smart, 2013)\n",
+      "I/337 :  Gaia DR1 (Gaia Collaboration, 2016)\n",
+      "I/345 :  Gaia DR2 (Gaia Collaboration, 2018)\n",
+      "I/347 :  Distances to 1.33 billion stars in Gaia DR2 (Bailer-Jones+, 2018)\n",
+      "I/350 :  Gaia EDR3 (Gaia Collaboration, 2020)\n",
+      "I/352 :  Distances to 1.47 billion stars in Gaia EDR3 (Bailer-Jones+, 2021)\n",
+      "I/355 :  Gaia DR3 Part 1. Main source (Gaia Collaboration, 2022)\n",
+      "I/356 :  Gaia DR3 Part 2. Extra-galactic (Gaia Collaboration, 2022)\n",
+      "I/357 :  Gaia DR3 Part 3. Non-single stars (Gaia Collaboration, 2022)\n",
+      "I/358 :  Gaia DR3 Part 4. Variability (Gaia Collaboration, 2022)\n",
+      "I/359 :  Gaia DR3 Part 5. Solar System (Gaia Collaboration, 2022)\n",
+      "I/360 :  Gaia DR3 Part 6. Performance verification (Gaia Collaboration, 2022)\n",
+      "I/361 :  Gaia Focused Product Release (Gaia FPR) (Gaia Collaboration, 2023)\n",
+      "IV/36 :  Gaia-IPHAS/KIS Value-Added Catalogues (Scaringi+, 2018)\n",
+      "VI/137 :  GaiaSimu Universe Model Snapshot (Robin+, 2012)\n",
+      "VI/145 :  ASC Gaia Attitude Star Catalog (Smart, 2015)\n",
+      "J/A+A/523/A48 :  Gaia photometry (Jordi+, 2010)\n",
+      "J/A+A/674/A25 :  Gaia DR3. spurious signals (Holl+, 2023)\n",
+      "V/149 :  LAMOST DR2 catalogs (Luo+, 2016)\n",
+      "IX/52 :  XXL Survey. DR2 (Chiappetti+, 2018)\n",
+      "J/A+A/634/A133 :  X-Shooter Spectral Library (XSL). DR2 (Gonneau+, 2020)\n"
+     ]
+    },
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "WARNING: UnitsWarning: The unit 'erg' has been deprecated in the VOUnit standard. Suggested: cm**2.g.s**-2. [astropy.units.format.utils]\n"
+     ]
+    }
+   ],
+   "source": [
+    "catalog_list_gaia = Vizier.find_catalogs(\"Gaia DR2\", max_catalogs=1000)\n",
+    "for k, v in catalog_list_gaia.items():\n",
+    "    print(k, \": \", v.description)"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "For 2MASS we will want to use `II/246 :  2MASS All-Sky Catalog of Point Sources (Cutri+ 2003)` and for Gaia `I/345 :  Gaia DR2 (Gaia Collaboration, 2018)`. Before we query the full two tables we only look at a few sources for each table to understand which columns are available. The query below will give us 50 sources each -- the default for the `get_catalogs` method."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 27,
+   "metadata": {
+    "scrolled": true,
+    "tags": [
+     "output_scroll"
+    ]
+   },
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "TableList with 1 tables:\n",
+      "\t'0:II/246/out' with 15 column(s) and 50 row(s) \n"
+     ]
+    },
+    {
+     "data": {
+      "text/html": [
+       "<div><i>Table length=50</i>\n",
+       "<table id=\"table139769662177040\" class=\"table-striped table-bordered table-condensed\">\n",
+       "<thead><tr><th>RAJ2000</th><th>DEJ2000</th><th>_2MASS</th><th>Jmag</th><th>e_Jmag</th><th>Hmag</th><th>e_Hmag</th><th>Kmag</th><th>e_Kmag</th><th>Qflg</th><th>Rflg</th><th>Bflg</th><th>Cflg</th><th>Xflg</th><th>Aflg</th></tr></thead>\n",
+       "<thead><tr><th>deg</th><th>deg</th><th></th><th>mag</th><th>mag</th><th>mag</th><th>mag</th><th>mag</th><th>mag</th><th></th><th></th><th></th><th></th><th></th><th></th></tr></thead>\n",
+       "<thead><tr><th>float64</th><th>float64</th><th>str17</th><th>float32</th><th>float32</th><th>float32</th><th>float32</th><th>float32</th><th>float32</th><th>str3</th><th>str3</th><th>str3</th><th>str3</th><th>uint8</th><th>uint8</th></tr></thead>\n",
+       "<tr><td>44.996055</td><td>0.005565</td><td>02595905+0000200</td><td>16.376</td><td>0.097</td><td>15.770</td><td>0.140</td><td>15.258</td><td>0.141</td><td>ABB</td><td>222</td><td>111</td><td>000</td><td>0</td><td>0</td></tr>\n",
+       "<tr><td>45.004857</td><td>0.019806</td><td>03000116+0001113</td><td>12.529</td><td>0.024</td><td>11.954</td><td>0.030</td><td>11.874</td><td>0.029</td><td>AAA</td><td>222</td><td>111</td><td>000</td><td>0</td><td>0</td></tr>\n",
+       "<tr><td>45.004193</td><td>0.020956</td><td>03000100+0001154</td><td>14.845</td><td>0.056</td><td>14.223</td><td>0.077</td><td>14.016</td><td>0.055</td><td>AAA</td><td>222</td><td>111</td><td>ccc</td><td>0</td><td>0</td></tr>\n",
+       "<tr><td>44.995074</td><td>0.038204</td><td>02595881+0002175</td><td>16.746</td><td>0.134</td><td>15.814</td><td>0.140</td><td>16.125</td><td>0.324</td><td>BBD</td><td>222</td><td>111</td><td>000</td><td>0</td><td>0</td></tr>\n",
+       "<tr><td>44.963851</td><td>0.043587</td><td>02595132+0002369</td><td>16.476</td><td>0.113</td><td>16.057</td><td>0.175</td><td>15.564</td><td>--</td><td>BCU</td><td>220</td><td>110</td><td>000</td><td>0</td><td>0</td></tr>\n",
+       "<tr><td>45.048281</td><td>0.048329</td><td>03001158+0002539</td><td>13.354</td><td>0.025</td><td>12.874</td><td>0.030</td><td>12.699</td><td>0.030</td><td>AAA</td><td>222</td><td>111</td><td>000</td><td>0</td><td>0</td></tr>\n",
+       "<tr><td>45.023564</td><td>0.068472</td><td>03000565+0004064</td><td>14.729</td><td>0.038</td><td>14.141</td><td>0.043</td><td>14.024</td><td>0.074</td><td>AAA</td><td>222</td><td>111</td><td>000</td><td>0</td><td>0</td></tr>\n",
+       "<tr><td>44.993307</td><td>0.076423</td><td>02595839+0004351</td><td>14.921</td><td>0.036</td><td>14.557</td><td>0.063</td><td>14.472</td><td>0.081</td><td>AAA</td><td>222</td><td>111</td><td>000</td><td>0</td><td>0</td></tr>\n",
+       "<tr><td>44.969132</td><td>0.084458</td><td>02595259+0005040</td><td>16.086</td><td>0.086</td><td>15.381</td><td>0.111</td><td>15.381</td><td>0.176</td><td>ABC</td><td>222</td><td>111</td><td>000</td><td>0</td><td>0</td></tr>\n",
+       "<tr><td>...</td><td>...</td><td>...</td><td>...</td><td>...</td><td>...</td><td>...</td><td>...</td><td>...</td><td>...</td><td>...</td><td>...</td><td>...</td><td>...</td><td>...</td></tr>\n",
+       "<tr><td>44.972790</td><td>0.155077</td><td>02595346+0009182</td><td>13.653</td><td>0.026</td><td>13.162</td><td>0.033</td><td>12.889</td><td>0.033</td><td>AAA</td><td>222</td><td>111</td><td>000</td><td>0</td><td>0</td></tr>\n",
+       "<tr><td>44.920840</td><td>0.146076</td><td>02594100+0008458</td><td>15.687</td><td>0.070</td><td>15.388</td><td>0.095</td><td>14.940</td><td>0.128</td><td>AAB</td><td>222</td><td>111</td><td>000</td><td>0</td><td>0</td></tr>\n",
+       "<tr><td>44.925787</td><td>0.149713</td><td>02594218+0008589</td><td>16.626</td><td>0.161</td><td>16.172</td><td>0.214</td><td>15.833</td><td>--</td><td>CCU</td><td>220</td><td>110</td><td>000</td><td>0</td><td>0</td></tr>\n",
+       "<tr><td>44.922898</td><td>0.151262</td><td>02594149+0009045</td><td>15.408</td><td>0.053</td><td>14.809</td><td>0.069</td><td>14.494</td><td>0.093</td><td>AAA</td><td>222</td><td>111</td><td>000</td><td>0</td><td>0</td></tr>\n",
+       "<tr><td>44.939749</td><td>0.158188</td><td>02594553+0009294</td><td>16.307</td><td>0.112</td><td>15.631</td><td>0.126</td><td>15.348</td><td>--</td><td>BBU</td><td>220</td><td>110</td><td>000</td><td>0</td><td>0</td></tr>\n",
+       "<tr><td>44.958972</td><td>0.152389</td><td>02595015+0009086</td><td>15.672</td><td>0.070</td><td>15.114</td><td>0.084</td><td>14.992</td><td>0.142</td><td>AAB</td><td>222</td><td>111</td><td>000</td><td>0</td><td>0</td></tr>\n",
+       "<tr><td>44.951407</td><td>0.156762</td><td>02594833+0009243</td><td>15.452</td><td>0.054</td><td>14.908</td><td>0.072</td><td>14.977</td><td>0.140</td><td>AAB</td><td>222</td><td>111</td><td>000</td><td>0</td><td>0</td></tr>\n",
+       "<tr><td>44.969944</td><td>0.163613</td><td>02595278+0009490</td><td>15.440</td><td>0.058</td><td>14.775</td><td>0.063</td><td>14.377</td><td>0.080</td><td>AAA</td><td>222</td><td>111</td><td>000</td><td>0</td><td>0</td></tr>\n",
+       "<tr><td>44.875396</td><td>0.118206</td><td>02593009+0007055</td><td>14.915</td><td>0.032</td><td>14.617</td><td>0.046</td><td>14.596</td><td>0.084</td><td>AAA</td><td>222</td><td>111</td><td>000</td><td>0</td><td>0</td></tr>\n",
+       "</table></div>"
+      ],
+      "text/plain": [
+       "<Table length=50>\n",
+       " RAJ2000    DEJ2000        _2MASS        Jmag   e_Jmag ... Bflg Cflg  Xflg  Aflg\n",
+       "   deg        deg                        mag     mag   ...                      \n",
+       " float64    float64        str17       float32 float32 ... str3 str3 uint8 uint8\n",
+       "---------- ---------- ---------------- ------- ------- ... ---- ---- ----- -----\n",
+       " 44.996055   0.005565 02595905+0000200  16.376   0.097 ...  111  000     0     0\n",
+       " 45.004857   0.019806 03000116+0001113  12.529   0.024 ...  111  000     0     0\n",
+       " 45.004193   0.020956 03000100+0001154  14.845   0.056 ...  111  ccc     0     0\n",
+       " 44.995074   0.038204 02595881+0002175  16.746   0.134 ...  111  000     0     0\n",
+       " 44.963851   0.043587 02595132+0002369  16.476   0.113 ...  110  000     0     0\n",
+       " 45.048281   0.048329 03001158+0002539  13.354   0.025 ...  111  000     0     0\n",
+       " 45.023564   0.068472 03000565+0004064  14.729   0.038 ...  111  000     0     0\n",
+       " 44.993307   0.076423 02595839+0004351  14.921   0.036 ...  111  000     0     0\n",
+       " 44.969132   0.084458 02595259+0005040  16.086   0.086 ...  111  000     0     0\n",
+       "       ...        ...              ...     ...     ... ...  ...  ...   ...   ...\n",
+       " 44.972790   0.155077 02595346+0009182  13.653   0.026 ...  111  000     0     0\n",
+       " 44.920840   0.146076 02594100+0008458  15.687   0.070 ...  111  000     0     0\n",
+       " 44.925787   0.149713 02594218+0008589  16.626   0.161 ...  110  000     0     0\n",
+       " 44.922898   0.151262 02594149+0009045  15.408   0.053 ...  111  000     0     0\n",
+       " 44.939749   0.158188 02594553+0009294  16.307   0.112 ...  110  000     0     0\n",
+       " 44.958972   0.152389 02595015+0009086  15.672   0.070 ...  111  000     0     0\n",
+       " 44.951407   0.156762 02594833+0009243  15.452   0.054 ...  111  000     0     0\n",
+       " 44.969944   0.163613 02595278+0009490  15.440   0.058 ...  111  000     0     0\n",
+       " 44.875396   0.118206 02593009+0007055  14.915   0.032 ...  111  000     0     0"
+      ]
+     },
+     "execution_count": 27,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "test_twomass = Vizier.get_catalogs(\"II/246\")\n",
+    "print(test_twomass)\n",
+    "test_twomass[0]"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 28,
+   "metadata": {
+    "scrolled": true,
+    "tags": [
+     "output_scroll"
+    ]
+   },
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "TableList with 20 tables:\n",
+      "\t'0:I/345/gaia2' with 32 column(s) and 50 row(s) \n",
+      "\t'1:I/345/rvstdcat' with 30 column(s) and 50 row(s) \n",
+      "\t'2:I/345/rvstdmes' with 7 column(s) and 50 row(s) \n",
+      "\t'3:I/345/allwise' with 2 column(s) and 50 row(s) \n",
+      "\t'4:I/345/iers' with 2 column(s) and 50 row(s) \n",
+      "\t'5:I/345/cepheid' with 23 column(s) and 50 row(s) \n",
+      "\t'6:I/345/rrlyrae' with 21 column(s) and 50 row(s) \n",
+      "\t'7:I/345/lpv' with 11 column(s) and 50 row(s) \n",
+      "\t'8:I/345/varres' with 7 column(s) and 50 row(s) \n",
+      "\t'9:I/345/shortts' with 9 column(s) and 50 row(s) \n",
+      "\t'10:I/345/tsstat' with 13 column(s) and 50 row(s) \n",
+      "\t'11:I/345/numtrans' with 4 column(s) and 50 row(s) \n",
+      "\t'12:I/345/transits' with 20 column(s) and 50 row(s) \n",
+      "\t'13:I/345/rm' with 9 column(s) and 50 row(s) \n",
+      "\t'14:I/345/rmseg' with 16 column(s) and 50 row(s) \n",
+      "\t'15:I/345/rmout' with 2 column(s) and 50 row(s) \n",
+      "\t'16:I/345/ssoobj' with 6 column(s) and 50 row(s) \n",
+      "\t'17:I/345/ssoorb' with 19 column(s) and 50 row(s) \n",
+      "\t'18:I/345/ssores' with 10 column(s) and 50 row(s) \n",
+      "\t'19:I/345/ssoobs' with 7 column(s) and 50 row(s) \n"
+     ]
+    },
+    {
+     "data": {
+      "text/html": [
+       "<div><i>Table length=50</i>\n",
+       "<table id=\"table139769662176080\" class=\"table-striped table-bordered table-condensed\">\n",
+       "<thead><tr><th>RA_ICRS</th><th>e_RA_ICRS</th><th>DE_ICRS</th><th>e_DE_ICRS</th><th>Source</th><th>Plx</th><th>e_Plx</th><th>pmRA</th><th>e_pmRA</th><th>pmDE</th><th>e_pmDE</th><th>Dup</th><th>FG</th><th>e_FG</th><th>Gmag</th><th>e_Gmag</th><th>FBP</th><th>e_FBP</th><th>BPmag</th><th>e_BPmag</th><th>FRP</th><th>e_FRP</th><th>RPmag</th><th>e_RPmag</th><th>BP-RP</th><th>RV</th><th>e_RV</th><th>Teff</th><th>AG</th><th>E_BP-RP_</th><th>Rad</th><th>Lum</th></tr></thead>\n",
+       "<thead><tr><th>deg</th><th>mas</th><th>deg</th><th>mas</th><th></th><th>mas</th><th>mas</th><th>mas / yr</th><th>mas / yr</th><th>mas / yr</th><th>mas / yr</th><th></th><th></th><th></th><th>mag</th><th>mag</th><th></th><th></th><th>mag</th><th>mag</th><th></th><th></th><th>mag</th><th>mag</th><th>mag</th><th>km / s</th><th>km / s</th><th>K</th><th>mag</th><th>mag</th><th>solRad</th><th>solLum</th></tr></thead>\n",
+       "<thead><tr><th>float64</th><th>float64</th><th>float64</th><th>float64</th><th>int64</th><th>float64</th><th>float32</th><th>float64</th><th>float32</th><th>float64</th><th>float32</th><th>uint8</th><th>float32</th><th>float32</th><th>float64</th><th>float64</th><th>float32</th><th>float32</th><th>float64</th><th>float64</th><th>float32</th><th>float32</th><th>float64</th><th>float64</th><th>float64</th><th>float64</th><th>float32</th><th>float64</th><th>float32</th><th>float32</th><th>float32</th><th>float64</th></tr></thead>\n",
+       "<tr><td>45.09385125633</td><td>0.5468</td><td>0.64718689957</td><td>0.5908</td><td>59236189231232</td><td>0.6518</td><td>0.6371</td><td>0.314</td><td>1.301</td><td>-0.696</td><td>1.185</td><td>0</td><td>216</td><td>1.702</td><td>19.8521</td><td>0.0086</td><td>139.7</td><td>26.32</td><td>19.9881</td><td>0.2045</td><td>180.2</td><td>9.54</td><td>19.1227</td><td>0.0575</td><td>0.8654</td><td>--</td><td>--</td><td>--</td><td>--</td><td>--</td><td>--</td><td>--</td></tr>\n",
+       "<tr><td>45.09016634680</td><td>0.1233</td><td>0.64778425962</td><td>0.1282</td><td>59236189231360</td><td>3.3237</td><td>0.1433</td><td>30.321</td><td>0.268</td><td>11.596</td><td>0.258</td><td>0</td><td>1668</td><td>2.888</td><td>17.6330</td><td>0.0019</td><td>334</td><td>12.01</td><td>19.0420</td><td>0.0390</td><td>2092</td><td>11.22</td><td>16.4604</td><td>0.0058</td><td>2.5817</td><td>--</td><td>--</td><td>--</td><td>--</td><td>--</td><td>--</td><td>--</td></tr>\n",
+       "<tr><td>45.09637402450</td><td>0.1503</td><td>0.65057829283</td><td>0.1729</td><td>59270548970752</td><td>0.1847</td><td>0.1751</td><td>3.537</td><td>0.324</td><td>0.654</td><td>0.329</td><td>0</td><td>1152</td><td>2.626</td><td>18.0343</td><td>0.0025</td><td>578.5</td><td>8.796</td><td>18.4457</td><td>0.0165</td><td>812.5</td><td>10.04</td><td>17.4873</td><td>0.0134</td><td>0.9584</td><td>--</td><td>--</td><td>--</td><td>--</td><td>--</td><td>--</td><td>--</td></tr>\n",
+       "<tr><td>45.10917067997</td><td>0.0508</td><td>0.65253074863</td><td>0.0511</td><td>59270548971648</td><td>3.0466</td><td>0.0589</td><td>-9.468</td><td>0.112</td><td>-42.970</td><td>0.108</td><td>0</td><td>8026</td><td>7.941</td><td>15.9271</td><td>0.0011</td><td>2279</td><td>19.84</td><td>16.9569</td><td>0.0094</td><td>8598</td><td>28.17</td><td>14.9259</td><td>0.0036</td><td>2.0310</td><td>--</td><td>--</td><td>3968.25</td><td>0.5188</td><td>0.2743</td><td>0.51</td><td>0.058</td></tr>\n",
+       "<tr><td>45.09796814525</td><td>0.1832</td><td>0.65754124036</td><td>0.2085</td><td>59270548972672</td><td>2.4526</td><td>0.2132</td><td>-5.853</td><td>0.398</td><td>-16.305</td><td>0.397</td><td>0</td><td>916.7</td><td>2.068</td><td>18.2828</td><td>0.0024</td><td>192.4</td><td>21.36</td><td>19.6409</td><td>0.1205</td><td>1180</td><td>9.902</td><td>17.0824</td><td>0.0091</td><td>2.5585</td><td>--</td><td>--</td><td>--</td><td>--</td><td>--</td><td>--</td><td>--</td></tr>\n",
+       "<tr><td>45.19007365441</td><td>0.1721</td><td>0.61029286301</td><td>0.1585</td><td>59407987910400</td><td>0.5127</td><td>0.2013</td><td>4.836</td><td>0.396</td><td>-7.668</td><td>0.343</td><td>0</td><td>796.5</td><td>2.06</td><td>18.4355</td><td>0.0028</td><td>316.2</td><td>12.3</td><td>19.1014</td><td>0.0422</td><td>697.3</td><td>19.29</td><td>17.6534</td><td>0.0300</td><td>1.4480</td><td>--</td><td>--</td><td>--</td><td>--</td><td>--</td><td>--</td><td>--</td></tr>\n",
+       "<tr><td>45.17954669668</td><td>0.0417</td><td>0.62334168746</td><td>0.0374</td><td>59481002873984</td><td>0.3591</td><td>0.0483</td><td>5.397</td><td>0.090</td><td>-2.072</td><td>0.079</td><td>0</td><td>1.06e+04</td><td>7.983</td><td>15.6254</td><td>0.0008</td><td>5177</td><td>21.25</td><td>16.0661</td><td>0.0045</td><td>7884</td><td>16.63</td><td>15.0201</td><td>0.0023</td><td>1.0461</td><td>--</td><td>--</td><td>5230.15</td><td>--</td><td>--</td><td>2.26</td><td>3.434</td></tr>\n",
+       "<tr><td>45.19835624575</td><td>0.7170</td><td>0.61889600019</td><td>0.6358</td><td>59511067349888</td><td>1.2027</td><td>0.8248</td><td>18.321</td><td>1.612</td><td>-5.007</td><td>1.486</td><td>0</td><td>158.9</td><td>1.178</td><td>20.1853</td><td>0.0080</td><td>32.06</td><td>9.529</td><td>21.5865</td><td>0.3227</td><td>194.4</td><td>14.25</td><td>19.0402</td><td>0.0796</td><td>2.5463</td><td>--</td><td>--</td><td>--</td><td>--</td><td>--</td><td>--</td><td>--</td></tr>\n",
+       "<tr><td>45.19316005009</td><td>0.2348</td><td>0.62788982619</td><td>0.2169</td><td>59511067131264</td><td>0.3592</td><td>0.2775</td><td>9.952</td><td>0.534</td><td>-8.522</td><td>0.469</td><td>0</td><td>525.9</td><td>1.666</td><td>18.8860</td><td>0.0034</td><td>147.4</td><td>11.06</td><td>19.9305</td><td>0.0815</td><td>576.5</td><td>9.755</td><td>17.8599</td><td>0.0184</td><td>2.0706</td><td>--</td><td>--</td><td>--</td><td>--</td><td>--</td><td>--</td><td>--</td></tr>\n",
+       "<tr><td>...</td><td>...</td><td>...</td><td>...</td><td>...</td><td>...</td><td>...</td><td>...</td><td>...</td><td>...</td><td>...</td><td>...</td><td>...</td><td>...</td><td>...</td><td>...</td><td>...</td><td>...</td><td>...</td><td>...</td><td>...</td><td>...</td><td>...</td><td>...</td><td>...</td><td>...</td><td>...</td><td>...</td><td>...</td><td>...</td><td>...</td><td>...</td></tr>\n",
+       "<tr><td>45.17851235309</td><td>0.6679</td><td>0.71941000556</td><td>0.7418</td><td>61435212721536</td><td>0.8569</td><td>0.8089</td><td>5.620</td><td>1.559</td><td>-1.140</td><td>1.569</td><td>0</td><td>140.5</td><td>1.38</td><td>20.3191</td><td>0.0107</td><td>68.9</td><td>14.77</td><td>20.7559</td><td>0.2327</td><td>162.7</td><td>11.74</td><td>19.2333</td><td>0.0783</td><td>1.5226</td><td>--</td><td>--</td><td>--</td><td>--</td><td>--</td><td>--</td><td>--</td></tr>\n",
+       "<tr><td>45.36911882512</td><td>0.9610</td><td>0.62423486568</td><td>1.0506</td><td>61710090606208</td><td>0.3827</td><td>1.0732</td><td>-0.062</td><td>2.511</td><td>-10.229</td><td>2.825</td><td>0</td><td>104.9</td><td>1.451</td><td>20.6369</td><td>0.0150</td><td>51.19</td><td>12.27</td><td>21.0784</td><td>0.2602</td><td>133.9</td><td>11.42</td><td>19.4452</td><td>0.0926</td><td>1.6332</td><td>--</td><td>--</td><td>--</td><td>--</td><td>--</td><td>--</td><td>--</td></tr>\n",
+       "<tr><td>45.38209664821</td><td>0.2998</td><td>0.62971437456</td><td>0.2815</td><td>61744450126336</td><td>0.9129</td><td>0.3639</td><td>-0.777</td><td>0.666</td><td>1.923</td><td>0.585</td><td>0</td><td>434</td><td>1.51</td><td>19.0947</td><td>0.0038</td><td>148.4</td><td>10.78</td><td>19.9232</td><td>0.0789</td><td>435.5</td><td>8.186</td><td>18.1646</td><td>0.0204</td><td>1.7586</td><td>--</td><td>--</td><td>--</td><td>--</td><td>--</td><td>--</td><td>--</td></tr>\n",
+       "<tr><td>45.32071447605</td><td>0.5260</td><td>0.63669534592</td><td>0.5678</td><td>61916248820480</td><td>-0.0319</td><td>0.5683</td><td>-1.908</td><td>1.262</td><td>-4.770</td><td>1.421</td><td>0</td><td>215.2</td><td>1.666</td><td>19.8564</td><td>0.0084</td><td>114</td><td>12.5</td><td>20.2091</td><td>0.1191</td><td>187.1</td><td>10.9</td><td>19.0820</td><td>0.0633</td><td>1.1271</td><td>--</td><td>--</td><td>--</td><td>--</td><td>--</td><td>--</td><td>--</td></tr>\n",
+       "<tr><td>45.32102040980</td><td>0.7441</td><td>0.63715000826</td><td>0.7814</td><td>61916249777152</td><td>--</td><td>--</td><td>--</td><td>--</td><td>--</td><td>--</td><td>0</td><td>142</td><td>1.852</td><td>20.3073</td><td>0.0142</td><td>--</td><td>--</td><td>--</td><td>--</td><td>--</td><td>--</td><td>--</td><td>--</td><td>--</td><td>--</td><td>--</td><td>--</td><td>--</td><td>--</td><td>--</td><td>--</td></tr>\n",
+       "<tr><td>45.35879125297</td><td>0.7295</td><td>0.64973223199</td><td>0.8485</td><td>62019328996224</td><td>4.1994</td><td>0.8158</td><td>-3.135</td><td>1.927</td><td>-9.373</td><td>2.279</td><td>0</td><td>131.2</td><td>1.352</td><td>20.3935</td><td>0.0112</td><td>39.16</td><td>14.47</td><td>21.3692</td><td>0.4011</td><td>161</td><td>8.014</td><td>19.2446</td><td>0.0540</td><td>2.1246</td><td>--</td><td>--</td><td>--</td><td>--</td><td>--</td><td>--</td><td>--</td></tr>\n",
+       "<tr><td>45.33488125795</td><td>0.0275</td><td>0.65248756480</td><td>0.0255</td><td>62057983280000</td><td>1.5226</td><td>0.0312</td><td>-0.636</td><td>0.065</td><td>-8.686</td><td>0.062</td><td>0</td><td>3.171e+04</td><td>10.1</td><td>14.4355</td><td>0.0003</td><td>1.505e+04</td><td>38.64</td><td>14.9079</td><td>0.0028</td><td>2.387e+04</td><td>33.63</td><td>13.8173</td><td>0.0015</td><td>1.0905</td><td>--</td><td>--</td><td>5071.26</td><td>0.4130</td><td>0.2022</td><td>0.99</td><td>0.588</td></tr>\n",
+       "<tr><td>45.40628465876</td><td>2.2579</td><td>0.65864338433</td><td>3.2979</td><td>62156766995712</td><td>--</td><td>--</td><td>--</td><td>--</td><td>--</td><td>--</td><td>0</td><td>89.1</td><td>1.624</td><td>20.8137</td><td>0.0198</td><td>132.5</td><td>66.04</td><td>20.0455</td><td>0.5410</td><td>76.79</td><td>4.94</td><td>20.0487</td><td>0.0698</td><td>-0.0031</td><td>--</td><td>--</td><td>--</td><td>--</td><td>--</td><td>--</td><td>--</td></tr>\n",
+       "<tr><td>45.39118235879</td><td>0.5203</td><td>0.66357470915</td><td>0.5184</td><td>62225486691200</td><td>0.4148</td><td>0.6422</td><td>-2.503</td><td>1.178</td><td>-17.955</td><td>1.079</td><td>0</td><td>180.8</td><td>1.326</td><td>20.0457</td><td>0.0080</td><td>80.85</td><td>31.87</td><td>20.5822</td><td>0.4279</td><td>218</td><td>12.19</td><td>18.9159</td><td>0.0607</td><td>1.6663</td><td>--</td><td>--</td><td>--</td><td>--</td><td>--</td><td>--</td><td>--</td></tr>\n",
+       "</table></div>"
+      ],
+      "text/plain": [
+       "<Table length=50>\n",
+       "    RA_ICRS     e_RA_ICRS     DE_ICRS     ... E_BP-RP_   Rad      Lum   \n",
+       "      deg          mas          deg       ...   mag     solRad   solLum \n",
+       "    float64      float64      float64     ... float32  float32  float64 \n",
+       "--------------- --------- --------------- ... -------- ------- ---------\n",
+       " 45.09385125633    0.5468   0.64718689957 ...       --      --        --\n",
+       " 45.09016634680    0.1233   0.64778425962 ...       --      --        --\n",
+       " 45.09637402450    0.1503   0.65057829283 ...       --      --        --\n",
+       " 45.10917067997    0.0508   0.65253074863 ...   0.2743    0.51     0.058\n",
+       " 45.09796814525    0.1832   0.65754124036 ...       --      --        --\n",
+       " 45.19007365441    0.1721   0.61029286301 ...       --      --        --\n",
+       " 45.17954669668    0.0417   0.62334168746 ...       --    2.26     3.434\n",
+       " 45.19835624575    0.7170   0.61889600019 ...       --      --        --\n",
+       " 45.19316005009    0.2348   0.62788982619 ...       --      --        --\n",
+       "            ...       ...             ... ...      ...     ...       ...\n",
+       " 45.17851235309    0.6679   0.71941000556 ...       --      --        --\n",
+       " 45.36911882512    0.9610   0.62423486568 ...       --      --        --\n",
+       " 45.38209664821    0.2998   0.62971437456 ...       --      --        --\n",
+       " 45.32071447605    0.5260   0.63669534592 ...       --      --        --\n",
+       " 45.32102040980    0.7441   0.63715000826 ...       --      --        --\n",
+       " 45.35879125297    0.7295   0.64973223199 ...       --      --        --\n",
+       " 45.33488125795    0.0275   0.65248756480 ...   0.2022    0.99     0.588\n",
+       " 45.40628465876    2.2579   0.65864338433 ...       --      --        --\n",
+       " 45.39118235879    0.5203   0.66357470915 ...       --      --        --"
+      ]
+     },
+     "execution_count": 28,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "test_gaia = Vizier.get_catalogs(\"I/345\")\n",
+    "print(test_gaia)\n",
+    "test_gaia[0]"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "As you will see below, we only need coordinates, 2MASS photometry in the H and K band, and Gaia photometry in the Gaia G band. So we'll query the tables `II/246/out` for 2MASS and `I/345/gaia2` for Gaia DR2:"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 29,
+   "metadata": {
+    "scrolled": true,
+    "tags": [
+     "output_scroll"
+    ]
+   },
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<div><i>Table length=20000</i>\n",
+       "<table id=\"table139769951671184\" class=\"table-striped table-bordered table-condensed\">\n",
+       "<thead><tr><th>_2MASS</th><th>RAJ2000</th><th>DEJ2000</th><th>errHalfMaj</th><th>errHalfMin</th><th>errPosAng</th><th>Jmag</th><th>Hmag</th><th>Kmag</th><th>e_Jmag</th><th>e_Hmag</th><th>e_Kmag</th><th>Qfl</th><th>Rfl</th><th>X</th><th>MeasureJD</th></tr></thead>\n",
+       "<thead><tr><th></th><th>deg</th><th>deg</th><th>arcsec</th><th>arcsec</th><th>deg</th><th>mag</th><th>mag</th><th>mag</th><th>mag</th><th>mag</th><th>mag</th><th></th><th></th><th></th><th>d</th></tr></thead>\n",
+       "<thead><tr><th>str17</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>float32</th><th>float32</th><th>float32</th><th>str3</th><th>int16</th><th>uint8</th><th>float64</th></tr></thead>\n",
+       "<tr><td>06561231-2715514</td><td>104.051312</td><td>-27.264296</td><td>0.11</td><td>0.11</td><td>45.0</td><td>15.816</td><td>15.533</td><td>15.274</td><td>0.068</td><td>0.104</td><td>0.192</td><td>AAC</td><td>222</td><td>0</td><td>2451203.5942</td></tr>\n",
+       "<tr><td>06561317-2715210</td><td>104.05491</td><td>-27.255844</td><td>0.06</td><td>0.06</td><td>90.0</td><td>13.891</td><td>13.292</td><td>13.059</td><td>0.026</td><td>0.033</td><td>0.034</td><td>AAA</td><td>222</td><td>0</td><td>2451203.5942</td></tr>\n",
+       "<tr><td>06561481-2716053</td><td>104.061712</td><td>-27.268162</td><td>0.06</td><td>0.06</td><td>90.0</td><td>13.857</td><td>13.336</td><td>13.2</td><td>0.026</td><td>0.022</td><td>0.039</td><td>AAA</td><td>222</td><td>0</td><td>2451203.5942</td></tr>\n",
+       "<tr><td>06561479-2715417</td><td>104.061646</td><td>-27.261585</td><td>0.06</td><td>0.06</td><td>90.0</td><td>13.43</td><td>13.234</td><td>13.266</td><td>0.023</td><td>0.022</td><td>0.041</td><td>AAA</td><td>222</td><td>0</td><td>2451203.5942</td></tr>\n",
+       "<tr><td>06561641-2715166</td><td>104.068408</td><td>-27.254629</td><td>0.06</td><td>0.06</td><td>45.0</td><td>13.843</td><td>13.625</td><td>13.543</td><td>0.029</td><td>0.038</td><td>0.045</td><td>AAA</td><td>222</td><td>0</td><td>2451203.5942</td></tr>\n",
+       "<tr><td>06561656-2715126</td><td>104.069033</td><td>-27.253527</td><td>0.16</td><td>0.15</td><td>75.0</td><td>14.947</td><td>15.883</td><td>14.747</td><td>--</td><td>0.137</td><td>--</td><td>UBU</td><td>20</td><td>0</td><td>2451203.5942</td></tr>\n",
+       "<tr><td>06561660-2715246</td><td>104.069205</td><td>-27.256844</td><td>0.06</td><td>0.06</td><td>90.0</td><td>15.04</td><td>14.631</td><td>14.457</td><td>0.052</td><td>0.068</td><td>0.092</td><td>AAA</td><td>222</td><td>0</td><td>2451203.5942</td></tr>\n",
+       "<tr><td>06561532-2714537</td><td>104.063862</td><td>-27.248253</td><td>0.08</td><td>0.08</td><td>135.0</td><td>15.698</td><td>15.2</td><td>15.02</td><td>0.053</td><td>0.07</td><td>0.143</td><td>AAB</td><td>222</td><td>0</td><td>2451203.5942</td></tr>\n",
+       "<tr><td>06561543-2714325</td><td>104.064318</td><td>-27.242363</td><td>0.06</td><td>0.06</td><td>45.0</td><td>14.627</td><td>14.231</td><td>14.075</td><td>0.037</td><td>0.042</td><td>0.068</td><td>AAA</td><td>222</td><td>0</td><td>2451203.5942</td></tr>\n",
+       "<tr><td>...</td><td>...</td><td>...</td><td>...</td><td>...</td><td>...</td><td>...</td><td>...</td><td>...</td><td>...</td><td>...</td><td>...</td><td>...</td><td>...</td><td>...</td><td>...</td></tr>\n",
+       "<tr><td>06564981-2600284</td><td>104.207569</td><td>-26.007895</td><td>0.08</td><td>0.08</td><td>45.0</td><td>15.828</td><td>15.263</td><td>14.8</td><td>0.083</td><td>0.133</td><td>0.143</td><td>ABB</td><td>222</td><td>0</td><td>2451296.4892</td></tr>\n",
+       "<tr><td>06564783-2600242</td><td>104.199297</td><td>-26.006746</td><td>0.12</td><td>0.11</td><td>10.0</td><td>15.928</td><td>15.543</td><td>15.242</td><td>0.098</td><td>0.149</td><td>0.184</td><td>ACC</td><td>222</td><td>0</td><td>2451296.4892</td></tr>\n",
+       "<tr><td>06564644-2600212</td><td>104.193517</td><td>-26.005903</td><td>0.07</td><td>0.06</td><td>90.0</td><td>15.132</td><td>14.395</td><td>14.224</td><td>0.056</td><td>0.074</td><td>0.084</td><td>AAA</td><td>222</td><td>0</td><td>2451296.4892</td></tr>\n",
+       "<tr><td>06564711-2559578</td><td>104.196329</td><td>-25.999401</td><td>0.28</td><td>0.26</td><td>81.0</td><td>16.152</td><td>15.523</td><td>15.484</td><td>0.108</td><td>0.147</td><td>0.255</td><td>BCD</td><td>222</td><td>0</td><td>2451296.4892</td></tr>\n",
+       "<tr><td>06564864-2559555</td><td>104.202699</td><td>-25.99877</td><td>0.17</td><td>0.16</td><td>41.0</td><td>16.357</td><td>16.136</td><td>16.915</td><td>0.133</td><td>--</td><td>--</td><td>BUU</td><td>200</td><td>0</td><td>2451296.4892</td></tr>\n",
+       "<tr><td>06564676-2559428</td><td>104.19487</td><td>-25.995239</td><td>0.07</td><td>0.06</td><td>0.0</td><td>13.579</td><td>13.198</td><td>13.132</td><td>0.032</td><td>0.031</td><td>0.034</td><td>AAA</td><td>222</td><td>0</td><td>2451296.4892</td></tr>\n",
+       "<tr><td>06564535-2559589</td><td>104.188986</td><td>-25.999701</td><td>0.09</td><td>0.09</td><td>0.0</td><td>15.802</td><td>15.266</td><td>15.144</td><td>0.082</td><td>0.127</td><td>0.174</td><td>ABC</td><td>222</td><td>0</td><td>2451296.4892</td></tr>\n",
+       "<tr><td>06565753-2601231</td><td>104.239722</td><td>-26.023087</td><td>0.06</td><td>0.06</td><td>45.0</td><td>13.026</td><td>12.932</td><td>12.944</td><td>0.026</td><td>0.029</td><td>0.033</td><td>AAA</td><td>222</td><td>0</td><td>2451296.4892</td></tr>\n",
+       "<tr><td>06565979-2601016</td><td>104.249134</td><td>-26.017115</td><td>0.17</td><td>0.16</td><td>135.0</td><td>16.589</td><td>15.934</td><td>16.926</td><td>0.137</td><td>0.143</td><td>--</td><td>BBU</td><td>220</td><td>0</td><td>2451208.533</td></tr>\n",
+       "</table></div>"
+      ],
+      "text/plain": [
+       "<Table length=20000>\n",
+       "     _2MASS       RAJ2000    DEJ2000   errHalfMaj ...  Rfl    X    MeasureJD  \n",
+       "                    deg        deg       arcsec   ...                  d      \n",
+       "     str17        float64    float64    float32   ... int16 uint8   float64   \n",
+       "---------------- ---------- ---------- ---------- ... ----- ----- ------------\n",
+       "06561231-2715514 104.051312 -27.264296       0.11 ...   222     0 2451203.5942\n",
+       "06561317-2715210  104.05491 -27.255844       0.06 ...   222     0 2451203.5942\n",
+       "06561481-2716053 104.061712 -27.268162       0.06 ...   222     0 2451203.5942\n",
+       "06561479-2715417 104.061646 -27.261585       0.06 ...   222     0 2451203.5942\n",
+       "06561641-2715166 104.068408 -27.254629       0.06 ...   222     0 2451203.5942\n",
+       "06561656-2715126 104.069033 -27.253527       0.16 ...    20     0 2451203.5942\n",
+       "06561660-2715246 104.069205 -27.256844       0.06 ...   222     0 2451203.5942\n",
+       "06561532-2714537 104.063862 -27.248253       0.08 ...   222     0 2451203.5942\n",
+       "06561543-2714325 104.064318 -27.242363       0.06 ...   222     0 2451203.5942\n",
+       "             ...        ...        ...        ... ...   ...   ...          ...\n",
+       "06564981-2600284 104.207569 -26.007895       0.08 ...   222     0 2451296.4892\n",
+       "06564783-2600242 104.199297 -26.006746       0.12 ...   222     0 2451296.4892\n",
+       "06564644-2600212 104.193517 -26.005903       0.07 ...   222     0 2451296.4892\n",
+       "06564711-2559578 104.196329 -25.999401       0.28 ...   222     0 2451296.4892\n",
+       "06564864-2559555 104.202699  -25.99877       0.17 ...   200     0 2451296.4892\n",
+       "06564676-2559428  104.19487 -25.995239       0.07 ...   222     0 2451296.4892\n",
+       "06564535-2559589 104.188986 -25.999701       0.09 ...   222     0 2451296.4892\n",
+       "06565753-2601231 104.239722 -26.023087       0.06 ...   222     0 2451296.4892\n",
+       "06565979-2601016 104.249134 -26.017115       0.17 ...   220     0  2451208.533"
+      ]
+     },
+     "execution_count": 29,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "twomass = moc_intersection.query_vizier_table(\"II/246/out\", max_rows=20000)\n",
+    "twomass"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 30,
+   "metadata": {
+    "scrolled": true,
+    "tags": [
+     "output_scroll"
+    ]
+   },
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<div><i>Table length=20000</i>\n",
+       "<table id=\"table139769662177136\" class=\"table-striped table-bordered table-condensed\">\n",
+       "<thead><tr><th>ra_epoch2000</th><th>dec_epoch2000</th><th>errHalfMaj</th><th>errHalfMin</th><th>errPosAng</th><th>source_id</th><th>ra</th><th>ra_error</th><th>dec</th><th>dec_error</th><th>parallax</th><th>parallax_error</th><th>pmra</th><th>pmra_error</th><th>pmdec</th><th>pmdec_error</th><th>duplicated_source</th><th>phot_g_mean_flux</th><th>phot_g_mean_flux_error</th><th>phot_g_mean_mag</th><th>phot_bp_mean_flux</th><th>phot_bp_mean_flux_error</th><th>phot_bp_mean_mag</th><th>phot_rp_mean_flux</th><th>phot_rp_mean_flux_error</th><th>phot_rp_mean_mag</th><th>bp_rp</th><th>radial_velocity</th><th>radial_velocity_error</th><th>rv_nb_transits</th><th>teff_val</th><th>a_g_val</th><th>e_bp_min_rp_val</th><th>radius_val</th><th>lum_val</th></tr></thead>\n",
+       "<thead><tr><th>deg</th><th>deg</th><th>arcsec</th><th>arcsec</th><th>deg</th><th></th><th>deg</th><th>mas</th><th>deg</th><th>mas</th><th>mas</th><th>mas</th><th>mas / yr</th><th>mas / yr</th><th>mas / yr</th><th>mas / yr</th><th></th><th>e-/s</th><th>e-/s</th><th>mag</th><th>e-/s</th><th>e-/s</th><th>mag</th><th>e-/s</th><th>e-/s</th><th>mag</th><th>mag</th><th>km / s</th><th>km / s</th><th></th><th>K</th><th>mag</th><th>mag</th><th>Rsun</th><th>Lsun</th></tr></thead>\n",
+       "<thead><tr><th>float64</th><th>float64</th><th>float32</th><th>float32</th><th>float32</th><th>int64</th><th>float64</th><th>float64</th><th>float64</th><th>float64</th><th>float64</th><th>float64</th><th>float64</th><th>float64</th><th>float64</th><th>float64</th><th>bool</th><th>float64</th><th>float64</th><th>float64</th><th>float64</th><th>float64</th><th>float64</th><th>float64</th><th>float64</th><th>float64</th><th>float64</th><th>float64</th><th>float64</th><th>int16</th><th>float64</th><th>float32</th><th>float32</th><th>float64</th><th>float64</th></tr></thead>\n",
+       "<tr><td>104.0642397349738</td><td>-27.2482245363508</td><td>0.009</td><td>0.002</td><td>0.0</td><td>2920584465727934848</td><td>104.06423973497</td><td>2.314</td><td>-27.24822453635</td><td>8.5789</td><td>--</td><td>--</td><td>--</td><td>--</td><td>--</td><td>--</td><td>False</td><td>80.4691</td><td>1.21343</td><td>20.924294</td><td>--</td><td>--</td><td>--</td><td>--</td><td>--</td><td>--</td><td>--</td><td>--</td><td>--</td><td>0</td><td>--</td><td>--</td><td>--</td><td>--</td><td>--</td></tr>\n",
+       "<tr><td>104.0613350962615</td><td>-27.2457120515062</td><td>0.02</td><td>0.017</td><td>0.0</td><td>2920584465727934720</td><td>104.06133865504</td><td>0.4795</td><td>-27.24572610529</td><td>0.7266</td><td>2.7925</td><td>0.9319</td><td>0.735</td><td>1.066</td><td>-3.264</td><td>1.314</td><td>False</td><td>110.232</td><td>0.811783</td><td>20.582594</td><td>29.761</td><td>6.19097</td><td>21.667269</td><td>127.117</td><td>5.50348</td><td>19.50141</td><td>2.165859</td><td>--</td><td>--</td><td>0</td><td>--</td><td>--</td><td>--</td><td>--</td><td>--</td></tr>\n",
+       "<tr><td>104.0616994142013</td><td>-27.268162501078</td><td>0.001</td><td>0.001</td><td>0.0</td><td>2920584362651704192</td><td>104.06176472191</td><td>0.0195</td><td>-27.26826983064</td><td>0.0282</td><td>1.5899</td><td>0.0331</td><td>13.483</td><td>0.044</td><td>-24.928</td><td>0.058</td><td>False</td><td>12121.4</td><td>4.76419</td><td>15.479486</td><td>5099.4</td><td>12.5228</td><td>16.08259</td><td>10058.7</td><td>14.8426</td><td>14.755564</td><td>1.327026</td><td>--</td><td>--</td><td>0</td><td>4984.0</td><td>0.309</td><td>0.1495</td><td>0.61</td><td>0.21</td></tr>\n",
+       "<tr><td>104.0638238272635</td><td>-27.2482586806547</td><td>0.002</td><td>0.002</td><td>0.0</td><td>2920584461429778816</td><td>104.06382329382</td><td>0.0521</td><td>-27.24823315928</td><td>0.0765</td><td>0.6544</td><td>0.0872</td><td>-0.11</td><td>0.121</td><td>5.928</td><td>0.159</td><td>False</td><td>2056.52</td><td>1.79544</td><td>17.405537</td><td>875.686</td><td>6.96038</td><td>17.995518</td><td>1741.36</td><td>7.67767</td><td>16.659698</td><td>1.335819</td><td>--</td><td>--</td><td>0</td><td>--</td><td>--</td><td>--</td><td>--</td><td>--</td></tr>\n",
+       "<tr><td>104.0534300495002</td><td>-27.2500426156094</td><td>0.014</td><td>0.011</td><td>0.0</td><td>2920584427070040064</td><td>104.05342677462</td><td>0.3271</td><td>-27.25003658704</td><td>0.5302</td><td>0.8947</td><td>0.6557</td><td>-0.676</td><td>0.732</td><td>1.4</td><td>0.92</td><td>False</td><td>162.774</td><td>0.812274</td><td>20.159405</td><td>93.9469</td><td>11.4891</td><td>20.419182</td><td>132.283</td><td>6.62032</td><td>19.458162</td><td>0.96102</td><td>--</td><td>--</td><td>0</td><td>--</td><td>--</td><td>--</td><td>--</td><td>--</td></tr>\n",
+       "<tr><td>104.0751267092824</td><td>-27.2497140040521</td><td>0.007</td><td>0.006</td><td>0.0</td><td>2920584392710301952</td><td>104.07512382264</td><td>0.1708</td><td>-27.24969690641</td><td>0.2387</td><td>-0.2191</td><td>0.2883</td><td>-0.596</td><td>0.38</td><td>3.971</td><td>0.463</td><td>False</td><td>354.083</td><td>0.968096</td><td>19.315603</td><td>194.984</td><td>4.1286</td><td>19.626392</td><td>251.52</td><td>5.09448</td><td>18.760487</td><td>0.865906</td><td>--</td><td>--</td><td>0</td><td>--</td><td>--</td><td>--</td><td>--</td><td>--</td></tr>\n",
+       "<tr><td>104.0742449208677</td><td>-27.2644027644464</td><td>0.009</td><td>0.008</td><td>0.0</td><td>2920584392710299648</td><td>104.07423733605</td><td>0.2424</td><td>-27.26439208515</td><td>0.3022</td><td>0.1011</td><td>0.3706</td><td>-1.566</td><td>0.531</td><td>2.48</td><td>0.558</td><td>False</td><td>249.17</td><td>0.921325</td><td>19.697124</td><td>112.126</td><td>4.99648</td><td>20.227123</td><td>190.76</td><td>5.88838</td><td>19.060701</td><td>1.166422</td><td>--</td><td>--</td><td>0</td><td>--</td><td>--</td><td>--</td><td>--</td><td>--</td></tr>\n",
+       "<tr><td>104.0773944731844</td><td>-27.2633504544413</td><td>0.008</td><td>0.007</td><td>0.0</td><td>2920584392710299520</td><td>104.07739347867</td><td>0.2151</td><td>-27.26333600118</td><td>0.2962</td><td>-0.3964</td><td>0.3634</td><td>-0.205</td><td>0.474</td><td>3.357</td><td>0.546</td><td>False</td><td>270.933</td><td>0.898977</td><td>19.60621</td><td>116.801</td><td>5.97621</td><td>20.18277</td><td>216.387</td><td>5.2083</td><td>18.923845</td><td>1.258925</td><td>--</td><td>--</td><td>0</td><td>--</td><td>--</td><td>--</td><td>--</td><td>--</td></tr>\n",
+       "<tr><td>104.0570207631639</td><td>-27.2646632110967</td><td>0.012</td><td>0.01</td><td>0.0</td><td>2920584358350560512</td><td>104.05701812772</td><td>0.2794</td><td>-27.26464198072</td><td>0.3739</td><td>0.1062</td><td>0.4371</td><td>-0.544</td><td>0.629</td><td>4.931</td><td>0.787</td><td>False</td><td>224.061</td><td>0.805978</td><td>19.81245</td><td>88.3315</td><td>4.79911</td><td>20.4861</td><td>185.474</td><td>5.74906</td><td>19.091215</td><td>1.394884</td><td>--</td><td>--</td><td>0</td><td>--</td><td>--</td><td>--</td><td>--</td><td>--</td></tr>\n",
+       "<tr><td>...</td><td>...</td><td>...</td><td>...</td><td>...</td><td>...</td><td>...</td><td>...</td><td>...</td><td>...</td><td>...</td><td>...</td><td>...</td><td>...</td><td>...</td><td>...</td><td>...</td><td>...</td><td>...</td><td>...</td><td>...</td><td>...</td><td>...</td><td>...</td><td>...</td><td>...</td><td>...</td><td>...</td><td>...</td><td>...</td><td>...</td><td>...</td><td>...</td><td>...</td><td>...</td></tr>\n",
+       "<tr><td>103.6534419859618</td><td>-26.6979173546072</td><td>0.011</td><td>0.008</td><td>0.0</td><td>2920662732915053568</td><td>103.65344412303</td><td>0.2405</td><td>-26.6979121828</td><td>0.3592</td><td>-0.2447</td><td>0.4337</td><td>0.443</td><td>0.527</td><td>1.201</td><td>0.703</td><td>False</td><td>243.033</td><td>0.82508</td><td>19.724205</td><td>122.136</td><td>6.61412</td><td>20.134275</td><td>190.878</td><td>5.0736</td><td>19.060034</td><td>1.074242</td><td>--</td><td>--</td><td>0</td><td>--</td><td>--</td><td>--</td><td>--</td><td>--</td></tr>\n",
+       "<tr><td>103.6448602407325</td><td>-26.6802759107745</td><td>0.02</td><td>0.016</td><td>0.0</td><td>2920662805934420608</td><td>103.64483841775</td><td>0.4784</td><td>-26.68027019884</td><td>0.7468</td><td>-0.416</td><td>0.9312</td><td>-4.529</td><td>1.041</td><td>1.327</td><td>1.287</td><td>False</td><td>111.582</td><td>0.895516</td><td>20.569384</td><td>57.4815</td><td>6.8582</td><td>20.952568</td><td>95.2456</td><td>4.81755</td><td>19.814808</td><td>1.13776</td><td>--</td><td>--</td><td>0</td><td>--</td><td>--</td><td>--</td><td>--</td><td>--</td></tr>\n",
+       "<tr><td>103.6457054696464</td><td>-26.6981699399863</td><td>0.001</td><td>0.001</td><td>0.0</td><td>2920662698555162368</td><td>103.64568696319</td><td>0.0173</td><td>-26.69816199835</td><td>0.0245</td><td>1.9823</td><td>0.0283</td><td>-3.84</td><td>0.038</td><td>1.845</td><td>0.054</td><td>False</td><td>245087.0</td><td>31.1344</td><td>12.215064</td><td>130678.0</td><td>131.721</td><td>12.560881</td><td>163903.0</td><td>73.7421</td><td>11.725456</td><td>0.835424</td><td>71.72</td><td>1.12</td><td>13</td><td>5776.33</td><td>0.846</td><td>0.4065</td><td>1.57</td><td>2.463</td></tr>\n",
+       "<tr><td>103.6371030479543</td><td>-26.7044315808754</td><td>0.005</td><td>0.004</td><td>0.0</td><td>2920662698555289472</td><td>103.6370976891</td><td>0.1128</td><td>-26.70442672734</td><td>0.1577</td><td>0.0761</td><td>0.1887</td><td>-1.112</td><td>0.244</td><td>1.127</td><td>0.321</td><td>False</td><td>618.666</td><td>1.19579</td><td>18.709726</td><td>310.82</td><td>7.22852</td><td>19.120115</td><td>450.3</td><td>5.5849</td><td>18.128166</td><td>0.991949</td><td>--</td><td>--</td><td>0</td><td>--</td><td>--</td><td>--</td><td>--</td><td>--</td></tr>\n",
+       "<tr><td>103.6456888116766</td><td>-26.693409125209</td><td>0.012</td><td>0.01</td><td>0.0</td><td>2920662737210100992</td><td>103.64568864196</td><td>0.3058</td><td>-26.69339933944</td><td>0.4287</td><td>0.3929</td><td>0.5375</td><td>-0.035</td><td>0.676</td><td>2.273</td><td>0.788</td><td>False</td><td>182.539</td><td>0.828202</td><td>20.034979</td><td>92.8826</td><td>5.12254</td><td>20.431551</td><td>160.285</td><td>5.1688</td><td>19.24969</td><td>1.181862</td><td>--</td><td>--</td><td>0</td><td>--</td><td>--</td><td>--</td><td>--</td><td>--</td></tr>\n",
+       "<tr><td>103.6501059275592</td><td>-26.6996148606457</td><td>0.01</td><td>0.007</td><td>0.0</td><td>2920662698555304576</td><td>103.65009776268</td><td>0.2151</td><td>-26.69960283806</td><td>0.326</td><td>0.4273</td><td>0.394</td><td>-1.694</td><td>0.472</td><td>2.792</td><td>0.621</td><td>False</td><td>249.158</td><td>0.843633</td><td>19.697176</td><td>130.477</td><td>8.06077</td><td>20.062551</td><td>218.437</td><td>7.50649</td><td>18.913603</td><td>1.148949</td><td>--</td><td>--</td><td>0</td><td>--</td><td>--</td><td>--</td><td>--</td><td>--</td></tr>\n",
+       "<tr><td>103.6595666536828</td><td>-26.6973161276413</td><td>0.019</td><td>0.016</td><td>0.0</td><td>2920662737210084608</td><td>103.65954407734</td><td>0.4646</td><td>-26.6972921808</td><td>0.7137</td><td>1.0984</td><td>0.8643</td><td>-4.685</td><td>1.01</td><td>5.562</td><td>1.241</td><td>False</td><td>123.589</td><td>0.804161</td><td>20.458414</td><td>42.8328</td><td>5.53901</td><td>21.271946</td><td>143.462</td><td>6.25761</td><td>19.37008</td><td>1.901865</td><td>--</td><td>--</td><td>0</td><td>--</td><td>--</td><td>--</td><td>--</td><td>--</td></tr>\n",
+       "<tr><td>103.6457432485343</td><td>-26.7008849970763</td><td>0.018</td><td>0.013</td><td>0.0</td><td>2920662702850376192</td><td>103.64573874872</td><td>0.3872</td><td>-26.70086725867</td><td>0.5581</td><td>-1.2408</td><td>0.6952</td><td>-0.934</td><td>0.858</td><td>4.12</td><td>1.153</td><td>False</td><td>122.459</td><td>0.708617</td><td>20.468393</td><td>77.6656</td><td>8.66697</td><td>20.625816</td><td>151.422</td><td>7.91143</td><td>19.31145</td><td>1.314367</td><td>--</td><td>--</td><td>0</td><td>--</td><td>--</td><td>--</td><td>--</td><td>--</td></tr>\n",
+       "<tr><td>103.6428952792929</td><td>-26.6997584901798</td><td>0.029</td><td>0.021</td><td>0.0</td><td>2920662702850377344</td><td>103.64289510825</td><td>0.6431</td><td>-26.69974515128</td><td>1.0558</td><td>0.884</td><td>1.2836</td><td>-0.035</td><td>1.386</td><td>3.098</td><td>1.845</td><td>False</td><td>85.1474</td><td>0.864897</td><td>20.862938</td><td>65.0185</td><td>7.27796</td><td>20.818796</td><td>100.969</td><td>8.51741</td><td>19.751446</td><td>1.06735</td><td>--</td><td>--</td><td>0</td><td>--</td><td>--</td><td>--</td><td>--</td><td>--</td></tr>\n",
+       "</table></div>"
+      ],
+      "text/plain": [
+       "<Table length=20000>\n",
+       "   ra_epoch2000     dec_epoch2000   errHalfMaj ... radius_val lum_val\n",
+       "       deg               deg          arcsec   ...    Rsun      Lsun \n",
+       "     float64           float64       float32   ...  float64   float64\n",
+       "----------------- ----------------- ---------- ... ---------- -------\n",
+       "104.0642397349738 -27.2482245363508      0.009 ...         --      --\n",
+       "104.0613350962615 -27.2457120515062       0.02 ...         --      --\n",
+       "104.0616994142013  -27.268162501078      0.001 ...       0.61    0.21\n",
+       "104.0638238272635 -27.2482586806547      0.002 ...         --      --\n",
+       "104.0534300495002 -27.2500426156094      0.014 ...         --      --\n",
+       "104.0751267092824 -27.2497140040521      0.007 ...         --      --\n",
+       "104.0742449208677 -27.2644027644464      0.009 ...         --      --\n",
+       "104.0773944731844 -27.2633504544413      0.008 ...         --      --\n",
+       "104.0570207631639 -27.2646632110967      0.012 ...         --      --\n",
+       "              ...               ...        ... ...        ...     ...\n",
+       "103.6534419859618 -26.6979173546072      0.011 ...         --      --\n",
+       "103.6448602407325 -26.6802759107745       0.02 ...         --      --\n",
+       "103.6457054696464 -26.6981699399863      0.001 ...       1.57   2.463\n",
+       "103.6371030479543 -26.7044315808754      0.005 ...         --      --\n",
+       "103.6456888116766  -26.693409125209      0.012 ...         --      --\n",
+       "103.6501059275592 -26.6996148606457       0.01 ...         --      --\n",
+       "103.6595666536828 -26.6973161276413      0.019 ...         --      --\n",
+       "103.6457432485343 -26.7008849970763      0.018 ...         --      --\n",
+       "103.6428952792929 -26.6997584901798      0.029 ...         --      --"
+      ]
+     },
+     "execution_count": 30,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "gaia = moc_intersection.query_vizier_table(\"I/345/gaia2\", max_rows=20000)\n",
+    "gaia"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "## Step 6: Cross-match Gaia and 2MASS sources in all fields\n",
+    "\n",
+    "We now want to find sources in the selected region (observed in the MASH regions of interest and at low extinction) that are common to the 2MASS and Gaia catalogs. To do so, we will perform a cross-match of the Gaia and 2MASS catalogs. Alternatively, we could use the CDS XMatch service via the corresponding `astroquery` module.\n",
+    "\n",
+    "To do so, let's first inspect the `match_coordinates_sky` function from `astropy.coordinates`. "
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 31,
+   "metadata": {
+    "scrolled": true,
+    "tags": [
+     "output_scroll"
+    ]
+   },
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Help on function match_coordinates_sky in module astropy.coordinates.matching:\n",
+      "\n",
+      "match_coordinates_sky(matchcoord, catalogcoord, nthneighbor=1, storekdtree='kdtree_sky')\n",
+      "    Finds the nearest on-sky matches of a coordinate or coordinates in\n",
+      "    a set of catalog coordinates.\n",
+      "    \n",
+      "    This finds the on-sky closest neighbor, which is only different from the\n",
+      "    3-dimensional match if ``distance`` is set in either ``matchcoord``\n",
+      "    or ``catalogcoord``.\n",
+      "    \n",
+      "    Parameters\n",
+      "    ----------\n",
+      "    matchcoord : `~astropy.coordinates.BaseCoordinateFrame` or `~astropy.coordinates.SkyCoord`\n",
+      "        The coordinate(s) to match to the catalog.\n",
+      "    catalogcoord : `~astropy.coordinates.BaseCoordinateFrame` or `~astropy.coordinates.SkyCoord`\n",
+      "        The base catalog in which to search for matches. Typically this will\n",
+      "        be a coordinate object that is an array (i.e.,\n",
+      "        ``catalogcoord.isscalar == False``)\n",
+      "    nthneighbor : int, optional\n",
+      "        Which closest neighbor to search for.  Typically ``1`` is desired here,\n",
+      "        as that is correct for matching one set of coordinates to another.\n",
+      "        The next likely use case is ``2``, for matching a coordinate catalog\n",
+      "        against *itself* (``1`` is inappropriate because each point will find\n",
+      "        itself as the closest match).\n",
+      "    storekdtree : bool or str, optional\n",
+      "        If a string, will store the KD-Tree used for the computation\n",
+      "        in the ``catalogcoord`` in ``catalogcoord.cache`` with the\n",
+      "        provided name.  This dramatically speeds up subsequent calls with the\n",
+      "        same catalog. If False, the KD-Tree is discarded after use.\n",
+      "    \n",
+      "    Returns\n",
+      "    -------\n",
+      "    idx : int array\n",
+      "        Indices into ``catalogcoord`` to get the matched points for each\n",
+      "        ``matchcoord``. Shape matches ``matchcoord``.\n",
+      "    sep2d : `~astropy.coordinates.Angle`\n",
+      "        The on-sky separation between the closest match for each\n",
+      "        ``matchcoord`` and the ``matchcoord``. Shape matches ``matchcoord``.\n",
+      "    dist3d : `~astropy.units.Quantity` ['length']\n",
+      "        The 3D distance between the closest match for each ``matchcoord`` and\n",
+      "        the ``matchcoord``. Shape matches ``matchcoord``.  If either\n",
+      "        ``matchcoord`` or ``catalogcoord`` don't have a distance, this is the 3D\n",
+      "        distance on the unit sphere, rather than a true distance.\n",
+      "    \n",
+      "    Notes\n",
+      "    -----\n",
+      "    This function requires `SciPy <https://www.scipy.org/>`_ to be installed\n",
+      "    or it will fail.\n",
+      "\n"
+     ]
+    }
+   ],
+   "source": [
+    "help(match_coordinates_sky)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 32,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# We generate the coordinates in the appropriate format\n",
+    "twomass_coord = SkyCoord(ra=twomass[\"RAJ2000\"], dec=twomass[\"DEJ2000\"], unit=u.deg)\n",
+    "gaia_coord = SkyCoord(ra=gaia[\"ra_epoch2000\"], dec=gaia[\"dec_epoch2000\"], unit=u.deg)\n",
+    "\n",
+    "index, separation_2d, _ = match_coordinates_sky(twomass_coord, gaia_coord)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 33,
+   "metadata": {
+    "scrolled": true,
+    "tags": [
+     "output_scroll"
+    ]
+   },
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<div><i>Table length=6376</i>\n",
+       "<table id=\"table139769652680768\" class=\"table-striped table-bordered table-condensed\">\n",
+       "<thead><tr><th>_2MASS</th><th>RAJ2000</th><th>DEJ2000</th><th>Hmag</th><th>Kmag</th><th>Gmag</th></tr></thead>\n",
+       "<thead><tr><th></th><th>deg</th><th>deg</th><th>mag</th><th>mag</th><th>mag</th></tr></thead>\n",
+       "<thead><tr><th>str17</th><th>float64</th><th>float64</th><th>float32</th><th>float32</th><th>float64</th></tr></thead>\n",
+       "<tr><td>06561231-2715514</td><td>104.051312</td><td>-27.264296</td><td>15.533</td><td>15.274</td><td>16.924894</td></tr>\n",
+       "<tr><td>06561317-2715210</td><td>104.05491</td><td>-27.255844</td><td>13.292</td><td>13.059</td><td>16.701544</td></tr>\n",
+       "<tr><td>06561481-2716053</td><td>104.061712</td><td>-27.268162</td><td>13.336</td><td>13.2</td><td>15.479486</td></tr>\n",
+       "<tr><td>06561479-2715417</td><td>104.061646</td><td>-27.261585</td><td>13.234</td><td>13.266</td><td>14.229291</td></tr>\n",
+       "<tr><td>06561641-2715166</td><td>104.068408</td><td>-27.254629</td><td>13.625</td><td>13.543</td><td>14.883485</td></tr>\n",
+       "<tr><td>06561656-2715126</td><td>104.069033</td><td>-27.253527</td><td>15.883</td><td>14.747</td><td>18.727604</td></tr>\n",
+       "<tr><td>06561660-2715246</td><td>104.069205</td><td>-27.256844</td><td>14.631</td><td>14.457</td><td>16.435612</td></tr>\n",
+       "<tr><td>06561532-2714537</td><td>104.063862</td><td>-27.248253</td><td>15.2</td><td>15.02</td><td>17.405537</td></tr>\n",
+       "<tr><td>06561543-2714325</td><td>104.064318</td><td>-27.242363</td><td>14.231</td><td>14.075</td><td>15.734059</td></tr>\n",
+       "<tr><td>...</td><td>...</td><td>...</td><td>...</td><td>...</td><td>...</td></tr>\n",
+       "<tr><td>06544465-2641304</td><td>103.686061</td><td>-26.69179</td><td>13.983</td><td>13.896</td><td>15.409149</td></tr>\n",
+       "<tr><td>06544074-2641426</td><td>103.669757</td><td>-26.695183</td><td>14.713</td><td>14.588</td><td>16.237791</td></tr>\n",
+       "<tr><td>06544573-2642324</td><td>103.690544</td><td>-26.709017</td><td>13.162</td><td>13.106</td><td>14.364839</td></tr>\n",
+       "<tr><td>06545001-2641286</td><td>103.708399</td><td>-26.691288</td><td>14.669</td><td>14.662</td><td>16.041847</td></tr>\n",
+       "<tr><td>06544577-2641391</td><td>103.690725</td><td>-26.694202</td><td>14.811</td><td>14.78</td><td>16.717669</td></tr>\n",
+       "<tr><td>06544623-2640367</td><td>103.692647</td><td>-26.676868</td><td>15.171</td><td>14.327</td><td>18.58356</td></tr>\n",
+       "<tr><td>06543496-2641534</td><td>103.645686</td><td>-26.698172</td><td>10.895</td><td>10.8</td><td>12.215064</td></tr>\n",
+       "<tr><td>06560422-2639092</td><td>104.017586</td><td>-26.652565</td><td>16.295</td><td>15.76</td><td>19.62056</td></tr>\n",
+       "<tr><td>06585741-2635059</td><td>104.739224</td><td>-26.584993</td><td>15.503</td><td>15.558</td><td>18.368963</td></tr>\n",
+       "</table></div>"
+      ],
+      "text/plain": [
+       "<Table length=6376>\n",
+       "     _2MASS       RAJ2000    DEJ2000     Hmag    Kmag     Gmag  \n",
+       "                    deg        deg       mag     mag      mag   \n",
+       "     str17        float64    float64   float32 float32  float64 \n",
+       "---------------- ---------- ---------- ------- ------- ---------\n",
+       "06561231-2715514 104.051312 -27.264296  15.533  15.274 16.924894\n",
+       "06561317-2715210  104.05491 -27.255844  13.292  13.059 16.701544\n",
+       "06561481-2716053 104.061712 -27.268162  13.336    13.2 15.479486\n",
+       "06561479-2715417 104.061646 -27.261585  13.234  13.266 14.229291\n",
+       "06561641-2715166 104.068408 -27.254629  13.625  13.543 14.883485\n",
+       "06561656-2715126 104.069033 -27.253527  15.883  14.747 18.727604\n",
+       "06561660-2715246 104.069205 -27.256844  14.631  14.457 16.435612\n",
+       "06561532-2714537 104.063862 -27.248253    15.2   15.02 17.405537\n",
+       "06561543-2714325 104.064318 -27.242363  14.231  14.075 15.734059\n",
+       "             ...        ...        ...     ...     ...       ...\n",
+       "06544465-2641304 103.686061  -26.69179  13.983  13.896 15.409149\n",
+       "06544074-2641426 103.669757 -26.695183  14.713  14.588 16.237791\n",
+       "06544573-2642324 103.690544 -26.709017  13.162  13.106 14.364839\n",
+       "06545001-2641286 103.708399 -26.691288  14.669  14.662 16.041847\n",
+       "06544577-2641391 103.690725 -26.694202  14.811   14.78 16.717669\n",
+       "06544623-2640367 103.692647 -26.676868  15.171  14.327  18.58356\n",
+       "06543496-2641534 103.645686 -26.698172  10.895    10.8 12.215064\n",
+       "06560422-2639092 104.017586 -26.652565  16.295   15.76  19.62056\n",
+       "06585741-2635059 104.739224 -26.584993  15.503  15.558 18.368963"
+      ]
+     },
+     "execution_count": 33,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "# Decide the maximum separation between objects to be considered acceptable matches\n",
+    "max_separation = 1.0 * u.arcsec\n",
+    "# Apply constraint on the two catalogs\n",
+    "sep_constraint = separation_2d < max_separation\n",
+    "twomass_matches = twomass[sep_constraint]\n",
+    "gaia_matches = gaia[index[sep_constraint]]\n",
+    "# Select only interesting columns from twomass_matches\n",
+    "match_catalog = twomass_matches[\"_2MASS\", \"RAJ2000\", \"DEJ2000\", \"Hmag\", \"Kmag\"]\n",
+    "# Add column G magnitude from gaia\n",
+    "match_catalog[\"Gmag\"] = gaia_matches[\"phot_g_mean_mag\"]\n",
+    "match_catalog"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "## Step 7: Build a color-color diagram\n",
+    "\n",
+    "We now use the data we got from the cross-match to get a 2MASS/Gaia color-color diagram for all the sources in the low extinction sky regions covered by the MASH survey:"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 34,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "image/png": 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",
+      "text/plain": [
+       "<Figure size 1000x800 with 1 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "fig, ax = plt.subplots(figsize=(10, 8))\n",
+    "ax.plot(\n",
+    "    match_catalog[\"Hmag\"] - match_catalog[\"Kmag\"],\n",
+    "    match_catalog[\"Gmag\"] - match_catalog[\"Hmag\"],\n",
+    "    linestyle=\"\",\n",
+    "    marker=\".\",\n",
+    ")\n",
+    "ax.set_xlabel(\"H - Ks [mag]\", fontsize=16)\n",
+    "ax.set_ylabel(\"G - H [mag]\", fontsize=16)\n",
+    "plt.show()"
+   ]
+  }
+ ],
+ "metadata": {
+  "kernelspec": {
+   "display_name": "cds-tutos",
+   "language": "python",
+   "name": "python3"
+  },
+  "language_info": {
+   "codemirror_mode": {
+    "name": "ipython",
+    "version": 3
+   },
+   "file_extension": ".py",
+   "mimetype": "text/x-python",
+   "name": "python",
+   "nbconvert_exporter": "python",
+   "pygments_lexer": "ipython3",
+   "version": "3.10.11"
+  },
+  "vscode": {
+   "interpreter": {
+    "hash": "18fabf4b7284864439f771ae90661426265feb3ce932d65d859d3ebdb8aac045"
+   }
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 4
+}
diff --git a/Notebooks/6_Planetary_Nebulae__Advanced_usage_of_HiPS_and_MOCs.ipynb b/Notebooks/6_Planetary_Nebulae__Advanced_usage_of_HiPS_and_MOCs.ipynb
deleted file mode 100644
index a96412b..0000000
--- a/Notebooks/6_Planetary_Nebulae__Advanced_usage_of_HiPS_and_MOCs.ipynb
+++ /dev/null
@@ -1,1765 +0,0 @@
-{
- "cells": [
-  {
-   "attachments": {},
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "# The MASH planeraty nebulae catalog: Advanced usage of HiPS and MOCs to explore complex regions of interest\n",
-    "\n",
-    "Stefania Amodea¹, Matthieu Baumann¹, Thomas Boch¹, Caroline Bot¹, Katarina A. Lutz¹, Manon Marchand¹.\n",
-    "\n",
-    "1. Université de Strasbourg, CNRS, Observatoire Astronomique de Strasbourg, UMR 7550, F-67000, Strasbourg, France\n",
-    "\n",
-    "Thomas Boch and Caroline Bot wrote the original version of this tutorial, available on the [EURO-VO tutorials page](http://www.euro-vo.org/?q=science/scientific-tutorials). It was presented at the workshop \"[Detecting the unexpected, Discovery in the Era of Astronomically Big Data](https://www.lsstcorporation.org/node/107)\". The version here is an adaptation to jupyter notebooks by the Strasbourg astronomical Data Center ([CDS](https://cdsweb.u-strasbg.fr/)) team.\n",
-    "\n",
-    "*** \n",
-    "\n",
-    "## Introduction\n",
-    "\n",
-    "This tutorial demonstrates an advanced usage of Hierarchical Progressive Surveys ([HiPS](https://ui.adsabs.harvard.edu/abs/2017ivoa.spec.0519F/abstract)) and Multi-Order Coverage ([MOC](https://www.ivoa.net/documents/MOC/)) maps. Wis this tutorial, you will: \n",
-    "\n",
-    "1. learn how to find fits files\n",
-    "2. build a map of the coverage of all the fits files \n",
-    "3. select only the parts of this map that correspond to low-extinction regions\n",
-    "4. retrieve objects from large catalogs inside the obtained map -- that has a non-trivial shape and non-necessarily-connected regions\n",
-    "5. combine catalogs to visualize a color-color diagram"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 1,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "# Standard Library\n",
-    "from pathlib import Path\n",
-    "\n",
-    "# Astronomy tools\n",
-    "import astropy.units as u\n",
-    "from astropy.coordinates import Angle, SkyCoord, match_coordinates_sky\n",
-    "from astropy.io import fits\n",
-    "\n",
-    "# Access astronomical databases\n",
-    "import pyvo\n",
-    "from astroquery.vizier import Vizier\n",
-    "\n",
-    "# Moc and HEALPix tools\n",
-    "import cdshealpix\n",
-    "import mocpy\n",
-    "\n",
-    "# For plots\n",
-    "import matplotlib.pyplot as plt\n",
-    "\n",
-    "# Data handling\n",
-    "import numpy as np"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "## Step 1: Finding the images\n",
-    "\n",
-    "We want to find all Short-Red images in the Macquarie/AAO/Strasbourg Hα Planetary Galactic catalog ([MASH](https://vizier.cfa.harvard.edu/vizier/MASH/index.htx)) using the VizieR associated data service.\n",
-    "\n",
-    "[![Vizier](https://custom-icon-badges.demolab.com/badge/Vizier-gray.svg?logo=vizier&logoColor=orange&logoWidth=20)](https://vizier.cds.unistra.fr/viz-bin/VizieR \"https://vizier.cds.unistra.fr/viz-bin/VizieR\")\n",
-    "\n",
-    "The [VizieR](https://vizier.cds.unistra.fr/) service at CDS inventories astronomical catalogs published in the literature. Some of these catalogs contain data associated with publications and the tables therein. This data can be browsed and explored through the VizieR-associated data service, linked to the traditional VizieR table service. Here we look for images associated with the MASH catalog of planetary nebulae ([Parker *et. al.* 2006-2008](https://ui.adsabs.harvard.edu/abs/2006yCat.5127....0P/abstract)). The MASH fits files are cut-outs extracted from a larger Hα and Short Red survey to constitute a set of regions of interest around planetary nebulae. \n",
-    "\n",
-    "To find VizieR-associated data, we use the Table Access Protocol (TAP) with the VizieR endpoint. Through the VizieR TAP endpoint, we can search for tables, their content, and information on associated data. \n",
-    "\n",
-    "First, we search for the MASH catalog:"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 2,
-   "metadata": {
-    "scrolled": true,
-    "tags": [
-     "output_scroll"
-    ]
-   },
-   "outputs": [
-    {
-     "data": {
-      "text/html": [
-       "<div><i>Table length=5</i>\n",
-       "<table id=\"table140505956309104\" class=\"table-striped table-bordered table-condensed\">\n",
-       "<thead><tr><th>schema_name</th><th>table_name</th><th>table_type</th><th>description</th><th>utype</th><th>nrows</th></tr></thead>\n",
-       "<thead><tr><th>object</th><th>object</th><th>object</th><th>object</th><th>object</th><th>object</th></tr></thead>\n",
-       "<tr><td>J_MNRAS</td><td>J/MNRAS/412/223/table4</td><td>table</td><td>The nine MASH PNe detected and possibly detected in the PMN survey ( Bojicic I.S., Parker Q.A., Filipovic M.D., Frew D.J.)</td><td></td><td>9</td></tr>\n",
-       "<tr><td>J_MNRAS</td><td>J/MNRAS/412/223/table1</td><td>table</td><td>MASH PNe detected in the NVSS ( Bojicic I.S., Parker Q.A., Filipovic M.D., Frew D.J.)</td><td></td><td>201</td></tr>\n",
-       "<tr><td>V_combined</td><td>V/127A/mash2</td><td>table</td><td>The MASH-II Supplement (from paper II) ( Parker Q.A., Acker A., Frew D.J., Hartley M., Peyaud A.E.J., Phillipps S., Russeil D., Beaulieu S.F., Cohen M., Koppen J., Marcout J., Miszalski B., Morgan D.H., Morris R.A.H., Ochsenbein F., Pierce M.J.,)</td><td></td><td>335</td></tr>\n",
-       "<tr><td>V_combined</td><td>V/127A/mash1</td><td>table</td><td>The MASH Catalog of Planetary Nebulae (paper I) ( Parker Q.A., Acker A., Frew D.J., Hartley M., Peyaud A.E.J., Phillipps S., Russeil D., Beaulieu S.F., Cohen M., Koppen J., Marcout J., Miszalski B., Morgan D.H., Morris R.A.H., Ochsenbein F., Pierce M.J.,)</td><td></td><td>903</td></tr>\n",
-       "<tr><td>J_MNRAS</td><td>J/MNRAS/412/223/mpgs2</td><td>table</td><td>MASH PNe detected in the MPGS-2 (Cat. VIII/82) ( Bojicic I.S., Parker Q.A., Filipovic M.D., Frew D.J.)</td><td></td><td>81</td></tr>\n",
-       "</table></div>"
-      ],
-      "text/plain": [
-       "<Table length=5>\n",
-       "schema_name       table_name       table_type ... utype  nrows \n",
-       "   object           object           object   ... object object\n",
-       "----------- ---------------------- ---------- ... ------ ------\n",
-       "    J_MNRAS J/MNRAS/412/223/table4      table ...             9\n",
-       "    J_MNRAS J/MNRAS/412/223/table1      table ...           201\n",
-       " V_combined           V/127A/mash2      table ...           335\n",
-       " V_combined           V/127A/mash1      table ...           903\n",
-       "    J_MNRAS  J/MNRAS/412/223/mpgs2      table ...            81"
-      ]
-     },
-     "execution_count": 2,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "# give the address of the service, you can also directly visit the website\n",
-    "tap_vizier = pyvo.dal.TAPService(\"https://tapvizier.cds.unistra.fr/TAPVizieR/tap\")\n",
-    "\n",
-    "# a query that searches for all tables with the words MASH and Parker in their description\n",
-    "query = \"\"\"\n",
-    "        SELECT  *  FROM tables \n",
-    "        WHERE description LIKE '%MASH%Parker%'\n",
-    "        \"\"\"\n",
-    "\n",
-    "mash_catalogues = tap_vizier.search(query).to_table()\n",
-    "mash_catalogues"
-   ]
-  },
-  {
-   "attachments": {},
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "In this tutorial, we are interested in the tables belonging to the catalogs `V/127A`. This includes tables `V/127A/mash1` and `V/127A/mash2`. To have a look at the content of these tables, we look at their first lines like this:"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 3,
-   "metadata": {
-    "scrolled": true,
-    "tags": [
-     "output_scroll"
-    ]
-   },
-   "outputs": [
-    {
-     "data": {
-      "text/html": [
-       "<div><i>Table length=5</i>\n",
-       "<table id=\"table140505988274528\" class=\"table-striped table-bordered table-condensed\">\n",
-       "<thead><tr><th>recno</th><th>n_PNG</th><th>PNG</th><th>Name</th><th>RAJ2000</th><th>DEJ2000</th><th>GLon</th><th>GLat</th><th>MajDiam</th><th>MinDiam</th><th>CS</th><th>Morph</th><th>Tel</th><th>ObsDate</th><th>HaExp</th><th>HaFld</th><th>Comments</th><th>img</th><th>ImageHa</th><th>ImageSr</th><th>AssocData</th></tr></thead>\n",
-       "<thead><tr><th></th><th></th><th></th><th></th><th>deg</th><th>deg</th><th>deg</th><th>deg</th><th>arcsec</th><th>arcsec</th><th></th><th></th><th></th><th>&apos;Y:M:D&apos;</th><th></th><th></th><th></th><th></th><th></th><th></th><th></th></tr></thead>\n",
-       "<thead><tr><th>int32</th><th>str1</th><th>object</th><th>object</th><th>float64</th><th>float64</th><th>float64</th><th>float64</th><th>float64</th><th>float64</th><th>object</th><th>object</th><th>object</th><th>float64</th><th>object</th><th>object</th><th>object</th><th>object</th><th>object</th><th>object</th><th>object</th></tr></thead>\n",
-       "<tr><td>29</td><td>L</td><td>G234.7-02.2</td><td>PHR0724-2021</td><td>111.05458333333331</td><td>-20.36361111111111</td><td>234.7045</td><td>-2.2774</td><td>134.5</td><td>54.0</td><td></td><td>A</td><td>SA</td><td>2452672.0</td><td>HA18201</td><td>HA842</td><td>Large, very faint diffuse arcuate nebula; has [NII]~2xH-alpha, nothing in blue</td><td>1029</td><td>img_ha</td><td>img_sr</td><td>fits</td></tr>\n",
-       "<tr><td>2</td><td>P</td><td>G227.3-12.0</td><td>PHR0633-1808</td><td>98.35374999999999</td><td>-18.13972222222222</td><td>227.3207</td><td>-12.0289</td><td>17.0</td><td>15.0</td><td></td><td>Ea</td><td>SA</td><td>2452672.0</td><td>HA18191</td><td>HA926</td><td>Very faint, partial arcuate nebula also observed M1 060100; [NII]~0.8xH-alpha, strong [SII], only weak H-beta in blue - inconclusive</td><td>1002</td><td>img_ha</td><td>img_sr</td><td>fits</td></tr>\n",
-       "<tr><td>16</td><td>T</td><td>G227.2-03.4</td><td>PHR0705-1419</td><td>106.41041666666665</td><td>-14.318055555555553</td><td>227.2852</td><td>-3.4029</td><td>15.0</td><td>15.0</td><td></td><td>E</td><td>SA</td><td>2452668.0</td><td>HA18244</td><td>HA1017</td><td>Small, circular PN around a faint central star; also observed M1 040100; [NII]~0.7 H-alpha, [OIII]&gt;&gt;H-beta</td><td>1016</td><td>img_ha</td><td>img_sr</td><td>fits</td></tr>\n",
-       "<tr><td>5</td><td>L</td><td>G223.6-06.8</td><td>PHR0646-1235</td><td>101.60583333333332</td><td>-12.598888888888887</td><td>223.6338</td><td>-6.8035</td><td>40.0</td><td>37.0</td><td></td><td>E</td><td>SA</td><td>2453788.0</td><td>HA18194</td><td>HA1016</td><td>Slightly oval very faint PN candidate - has [OIII] and H-alpha</td><td>1005</td><td>img_ha</td><td>img_sr</td><td>fits</td></tr>\n",
-       "<tr><td>10</td><td>P</td><td>G224.3-05.5</td><td>PHR0652-1240</td><td>103.08458333333331</td><td>-12.67611111111111</td><td>224.3504</td><td>-5.5463</td><td>187.0</td><td>180.0</td><td></td><td>I</td><td>SA</td><td>2452670.0</td><td>HA18244</td><td>HA1017</td><td>Faint, extended S-shaped emission nebula, possible evolved PN, also observed M1 080100; has [NII]~0.8Ha, [OIII], strong [SII], [OIII]&gt;H-beta</td><td>1010</td><td>img_ha</td><td>img_sr</td><td>fits</td></tr>\n",
-       "</table></div>"
-      ],
-      "text/plain": [
-       "<Table length=5>\n",
-       "recno n_PNG     PNG         Name     ...  img   ImageHa ImageSr AssocData\n",
-       "                                     ...                                 \n",
-       "int32  str1    object      object    ... object  object  object   object \n",
-       "----- ----- ----------- ------------ ... ------ ------- ------- ---------\n",
-       "   29     L G234.7-02.2 PHR0724-2021 ...   1029  img_ha  img_sr      fits\n",
-       "    2     P G227.3-12.0 PHR0633-1808 ...   1002  img_ha  img_sr      fits\n",
-       "   16     T G227.2-03.4 PHR0705-1419 ...   1016  img_ha  img_sr      fits\n",
-       "    5     L G223.6-06.8 PHR0646-1235 ...   1005  img_ha  img_sr      fits\n",
-       "   10     P G224.3-05.5 PHR0652-1240 ...   1010  img_ha  img_sr      fits"
-      ]
-     },
-     "execution_count": 3,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "query = \"\"\"\n",
-    "        SELECT TOP 5 * FROM \\\"V/127A/mash1\\\" \n",
-    "        \"\"\"\n",
-    "mash1_head = tap_vizier.search(query).to_table()\n",
-    "mash1_head"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "As you can see, the last column of this table is called `AssocData` and contains the entry `fits`. If you look at this table on the VizieR web interface, you can download the associated fits file. Within this notebook, we query the `obscore` database to get the URLs to the fits file. Using the `astropy.io.fits` module, we can open the fits files from their URLs."
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 4,
-   "metadata": {
-    "scrolled": true,
-    "tags": [
-     "output_scroll"
-    ]
-   },
-   "outputs": [
-    {
-     "data": {
-      "text/html": [
-       "<div><i>Table length=5</i>\n",
-       "<table id=\"table140505986757824\" class=\"table-striped table-bordered table-condensed\">\n",
-       "<thead><tr><th>access_estsize</th><th>access_format</th><th>access_url</th><th>bib_reference</th><th>calib_level</th><th>dataproduct_type</th><th>em_band</th><th>em_max</th><th>em_min</th><th>extension</th><th>facility_name</th><th>has_wcs</th><th>instrument_name</th><th>obs_collection</th><th>obs_id</th><th>obs_publisher_did</th><th>oidsaada</th><th>o_ucd</th><th>pol_states</th><th>s_dec</th><th>s_fov</th><th>s_ra</th><th>s_region</th><th>s_resolution</th><th>target_name</th><th>t_exptime</th><th>t_max</th><th>t_min</th><th>t_resolution</th></tr></thead>\n",
-       "<thead><tr><th>kbyte</th><th></th><th></th><th></th><th></th><th></th><th>spect</th><th></th><th></th><th>meta.code</th><th></th><th>meta.code</th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th>deg</th><th>deg</th><th>deg</th><th></th><th>arcsec</th><th></th><th></th><th></th><th></th><th></th></tr></thead>\n",
-       "<thead><tr><th>int64</th><th>object</th><th>object</th><th>object</th><th>int32</th><th>object</th><th>object</th><th>float64</th><th>float64</th><th>int32</th><th>object</th><th>int32</th><th>object</th><th>object</th><th>object</th><th>object</th><th>object</th><th>object</th><th>object</th><th>float64</th><th>float64</th><th>float64</th><th>object</th><th>float64</th><th>object</th><th>float64</th><th>float64</th><th>float64</th><th>float64</th></tr></thead>\n",
-       "<tr><td>610560</td><td>application/fits</td><td>https://cdsarc.cds.unistra.fr/saadavizier/download?oid=864975549779410945</td><td>2006MNRAS.373...79P</td><td>-1</td><td>image</td><td>Optical</td><td>1e-06</td><td>3e-07</td><td>--</td><td>UKST</td><td>5</td><td>SuperCOSMOS I</td><td>V/127A</td><td>1032_sr.fits</td><td>ivo://CDS.VizieR/V/127A?res=1032_sr.fits</td><td>864975549779410945</td><td>obs.image</td><td>NotSet</td><td>-13.784389854801203</td><td>0.0713021682865721</td><td>111.43275777455307</td><td>Polygon ICRS  111.46664940645094 -13.81781914701963  111.39832407190251 -13.817324215795937  111.3988758446347 -13.750955924906409  111.46718176614709 -13.751450706358609</td><td>0.948991575097523</td><td></td><td>--</td><td>--</td><td>51226.0</td><td>--</td></tr>\n",
-       "<tr><td>740160</td><td>application/fits</td><td>https://cdsarc.cds.unistra.fr/saadavizier/download?oid=864975549779410951</td><td>2006MNRAS.373...79P</td><td>-1</td><td>image</td><td>Optical</td><td>1e-06</td><td>3e-07</td><td>--</td><td>UKST</td><td>5</td><td>SuperCOSMOS I</td><td>V/127A</td><td>1034_ha.fits</td><td>ivo://CDS.VizieR/V/127A?res=1034_ha.fits</td><td>864975549779410951</td><td>obs.image</td><td>NotSet</td><td>-17.12049297622673</td><td>0.07123944496920925</td><td>111.78451610217952</td><td>Polygon ICRS  111.8191479048229 -17.153711083791936  111.74974303867411 -17.15359964722061  111.74989666803143 -17.087268981666405  111.8192767884711 -17.087380370020252</td><td>0.9485038734315203</td><td></td><td>--</td><td>--</td><td>52338.0</td><td>--</td></tr>\n",
-       "<tr><td>596160</td><td>application/fits</td><td>https://cdsarc.cds.unistra.fr/saadavizier/download?oid=864975549779410955</td><td>2006MNRAS.373...79P</td><td>-1</td><td>image</td><td>Optical</td><td>1e-06</td><td>3e-07</td><td>--</td><td>UKST</td><td>5</td><td>SuperCOSMOS I</td><td>V/127A</td><td>1034_sr.fits</td><td>ivo://CDS.VizieR/V/127A?res=1034_sr.fits</td><td>864975549779410955</td><td>obs.image</td><td>NotSet</td><td>-17.120533969278245</td><td>0.07124314880377468</td><td>111.7845314034197</td><td>Polygon ICRS  111.8191637002453 -17.153753988164176  111.74975722819107 -17.153640656320004  111.7499114759699 -17.08730806317958  111.81929320101966 -17.087421346614327</td><td>0.9485285228101485</td><td></td><td>--</td><td>--</td><td>50871.0</td><td>--</td></tr>\n",
-       "<tr><td>731520</td><td>application/fits</td><td>https://cdsarc.cds.unistra.fr/saadavizier/download?oid=864975549779410959</td><td>2006MNRAS.373...79P</td><td>-1</td><td>image</td><td>Optical</td><td>1e-06</td><td>3e-07</td><td>--</td><td>UKST</td><td>5</td><td>SuperCOSMOS I</td><td>V/127A</td><td>1036_ha.fits</td><td>ivo://CDS.VizieR/V/127A?res=1036_ha.fits</td><td>864975549779410959</td><td>obs.image</td><td>NotSet</td><td>-21.862099427980556</td><td>0.07130134708963763</td><td>112.69528726569132</td><td>Polygon ICRS  112.73146814532774 -21.89490077932626  112.65997554014551 -21.895645624610193  112.659123005937 -21.829290184523508  112.73058240266795 -21.828545713789918</td><td>0.9488088411876365</td><td></td><td>--</td><td>--</td><td>51163.0</td><td>--</td></tr>\n",
-       "<tr><td>590400</td><td>application/fits</td><td>https://cdsarc.cds.unistra.fr/saadavizier/download?oid=864975549779410960</td><td>2006MNRAS.373...79P</td><td>-1</td><td>image</td><td>Optical</td><td>1e-06</td><td>3e-07</td><td>--</td><td>UKST</td><td>5</td><td>SuperCOSMOS I</td><td>V/127A</td><td>1005_sr.fits</td><td>ivo://CDS.VizieR/V/127A?res=1005_sr.fits</td><td>864975549779410960</td><td>obs.image</td><td>NotSet</td><td>-12.59878194718445</td><td>0.06695119600443825</td><td>101.605805625331</td><td>Polygon ICRS  101.64022494465036 -12.631531553985315  101.57226287333897 -12.63235954506209  101.57139509987323 -12.56602794013158  101.63933959085792 -12.565200170324758</td><td>0.9485060738987898</td><td></td><td>--</td><td>--</td><td>51156.0</td><td>--</td></tr>\n",
-       "</table></div>"
-      ],
-      "text/plain": [
-       "<Table length=5>\n",
-       "access_estsize  access_format   ...  t_min  t_resolution\n",
-       "    kbyte                       ...                     \n",
-       "    int64           object      ... float64   float64   \n",
-       "-------------- ---------------- ... ------- ------------\n",
-       "        610560 application/fits ... 51226.0           --\n",
-       "        740160 application/fits ... 52338.0           --\n",
-       "        596160 application/fits ... 50871.0           --\n",
-       "        731520 application/fits ... 51163.0           --\n",
-       "        590400 application/fits ... 51156.0           --"
-      ]
-     },
-     "execution_count": 4,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "obs_tap_vizier = pyvo.dal.TAPService(\n",
-    "    \"https://cdsarc.cds.unistra.fr/saadavizier.tap/tap\",\n",
-    ")\n",
-    "query = \"\"\"\n",
-    "        SELECT TOP 5  *  FROM obscore \n",
-    "        WHERE obs_collection='V/127A'   \n",
-    "        \"\"\"\n",
-    "mash_fits = obs_tap_vizier.search(query).to_table()\n",
-    "mash_fits"
-   ]
-  },
-  {
-   "attachments": {},
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "As you can see, the result from this query provides information on the fits files associated with the MASH catalogs. In particular, the column `access_url` provides the location of the data. To get the first image we could do:\n",
-    "\n",
-    "`image = fits.open(mash_fits['access_url'][0])`\n",
-    "\n",
-    "and then work on the image, plot it or save it to our machine. However, downloading all the data takes quite some time. For this tutorial, **we prepared a subsample of 335 of these Short Red images that will run promptly** but we encourage you to try accessing the full Short Red sample on your own later. The subsample is available either at http://astro.u-strasbg.fr/~bot/BochBot.tar.gz or in the Data Folder of this repository."
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "## Step 2: Create a MOC of the MASH images\n",
-    "\n",
-    "The multi-order coverage (MOC) map of a set of images represents their sky coverage. MOCs can describe arbitrary zones in the sky which do not need to be connected. You'll see that the union or intersection of two MOCs requires few time and computational effort. Catalogs can also be filtered by MOCs. \n",
-    "\n",
-    "Here we want to use the fits files just downloaded to create a MOC map corresponding to the coverage of the MASH images.\n",
-    "\n",
-    "### Organising data"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 5,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "# Where to find fits images downloaded from the archive above\n",
-    "datadir = Path(\"Data/MASH_Sample/\")\n",
-    "datadir.mkdir(parents=True, exist_ok=True)\n",
-    "# Make new directory where to save MOCs\n",
-    "outdir = Path(\"Data/Result_moc/\")\n",
-    "outdir.mkdir(parents=True, exist_ok=True)"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "In most cases, we could ignore the next cell.  However, some possible deprecated keywords in the fits header would hamper the MOC creation and would cause errors in the underlying `astropy.wcs.WCS` module. This is why we rewrite the headers of the fits files so that they only contain the useful keywords needed to define the coordinate frame correctly before using `mocpy`. "
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "### Create the MOC\n",
-    "\n",
-    "Here we can create the MOC of the MASH images with the `MOCPy` module. This can take a few seconds."
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 6,
-   "metadata": {},
-   "outputs": [
-    {
-     "name": "stderr",
-     "output_type": "stream",
-     "text": [
-      "WARNING: FITSFixedWarning: RADECSYS= 'FK5 ' \n",
-      "the RADECSYS keyword is deprecated, use RADESYSa. [astropy.wcs.wcs]\n"
-     ]
-    }
-   ],
-   "source": [
-    "# Get a list of the fits files and create the MOC\n",
-    "mash_file_list = datadir.glob(\n",
-    "    \"*_sr_modified.fits\",\n",
-    ")  # glob allows to find all paths that end with _sr_modified.fits in datadir\n",
-    "moc_mash = mocpy.MOC.from_fits_images(mash_file_list, max_norder=15)\n",
-    "moc_mash.save(str(outdir / \"mash_moc.fits\"), overwrite=True)\n",
-    "# this takes a bit of time because a lot of files are opened and processed to extract the moc"
-   ]
-  },
-  {
-   "attachments": {},
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "### Plot the MOC\n",
-    "\n",
-    "We can chose between two of the MOCpy methods to plot the MOC"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 7,
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "image/png": 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",
-      "text/plain": [
-       "<Figure size 640x480 with 1 Axes>"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    }
-   ],
-   "source": [
-    "# A one-liner for a very fast vizualisation\n",
-    "moc_mash.display_preview()"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 8,
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "image/png": 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",
-      "text/plain": [
-       "<Figure size 1000x700 with 1 Axes>"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    }
-   ],
-   "source": [
-    "# With a bit more control over the output, the MOC.wcs method\n",
-    "fig = plt.figure(figsize=(10, 7))\n",
-    "wcs = moc_mash.wcs(fig)\n",
-    "ax = fig.add_subplot(projection=wcs)\n",
-    "ax.grid(True)  # noqa: FBT003\n",
-    "moc_mash.fill(ax, wcs, color=\"purple\", alpha=0.5)\n",
-    "moc_mash.border(ax, wcs, color=\"purple\")"
-   ]
-  },
-  {
-   "attachments": {},
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "You can see how the MOC has arbitrary shapes and not all regions are connected.\n",
-    "\n",
-    "And for more control over the plot parameters, there is also the mocpy.WCS method (!)"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "## Step 3: Load an archival extinction map and create the MOC of the low extinction regions\n",
-    "\n",
-    "Different works (e.g. [Schlegel et al. 1998](https://iopscience.iop.org/article/10.1086/305772), [Schlafly  & Finkbeiner 2011](https://ui.adsabs.harvard.edu/abs/2011AAS...21831803S/abstract), [Green et al. 2015](https://iopscience.iop.org/article/10.1088/0004-637X/810/1/25)...) have created extinction maps of the sky that are publicly available. Some of these maps are all-sky maps, while others have higher resolutions, or come from different methods... They can be found in HEALPix format (among others) on the Legacy Archive for Microwave Background Data Analysis ([LAMBDA](https://lambda.gsfc.nasa.gov/)) website or on the Analysis Center for Extended Data ([CADE](http://cade.irap.omp.eu/dokuwiki/doku.php?id=start)) website. \n",
-    "\n",
-    "For this tutorial, we will download the well-known all-sky extinction map from Schlegel *et al.* from the LAMBDA  website and define the low extinction area for which $0 < E(B-V) < 0.5$ as a MOC. It has an [information page](https://lambda.gsfc.nasa.gov/product/foreground/fg_sfd_info.html).\n",
-    "\n",
-    "The map is available here: https://lambda.gsfc.nasa.gov/data/foregrounds/SFD/lambda_sfd_ebv.fits and we save it to disc. "
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 9,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "ext_map = fits.open(\n",
-    "    \"https://lambda.gsfc.nasa.gov/data/foregrounds/SFD/lambda_sfd_ebv.fits\",\n",
-    ")\n",
-    "ext_map.writeto(outdir / \"Schlegel_extinction_map.fits\", overwrite=True)\n",
-    "ext_map.close()"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "We are only interested in regions with low extinction. So we aim to get a MOC of all regions where the extinction values from the Schlegel *et al.* map are between 0 and 0.5mag. The extinction map we got from the NASA webpage is in the HEALPix format. This is an efficient presentation of all-sky maps. The HEALPix tesselation is also used by MOCs. So to get the MOC from the extinction map, we do the following. \n",
-    "\n",
-    "First, we check the coordinate system in the map header. We will need to convert to equatorial coordinates, change the projection of the map, and set the order (*i.e.* resolution) of the map."
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 10,
-   "metadata": {
-    "tags": [
-     "output_scroll"
-    ]
-   },
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "SIMPLE  =                    T / file does conform to FITS standard             \n",
-       "BITPIX  =                   32 / number of bits per data pixel                  \n",
-       "NAXIS   =                    0 / number of data axes                            \n",
-       "EXTEND  =                    T / FITS dataset may contain extensions            \n",
-       "COMMENT   FITS (Flexible Image Transport System) format is defined in 'Astronomy\n",
-       "COMMENT   and Astrophysics', volume 376, page 359; bibcode: 2001A&A...376..359H \n",
-       "DATE    = '2003-02-05T00:00:00' /file creation date (YYYY-MM-DDThh:mm:ss UT)    \n",
-       "OBJECT  = 'ALL-SKY '           / Portion of sky given                           \n",
-       "COMMENT   This file contains an all-sky Galactic reddening map, E(B-V), based on\n",
-       "COMMENT   the derived reddening maps of Schlegel, Finkbeiner and Davis (1998).  \n",
-       "COMMENT   Software and data files downloaded from their website were used to    \n",
-       "COMMENT   interpolate their high resolution dust maps onto pixel centers        \n",
-       "COMMENT   appropriate for a HEALPix Nside=512 projection in Galactic            \n",
-       "COMMENT   coordinates. This file is distributed and maintained by LAMBDA.       \n",
-       "REFERENC= 'Legacy Archive for Microwave Background Data Analysis (LAMBDA)      '\n",
-       "REFERENC= '                http://lambda.gsfc.nasa.gov/                        '\n",
-       "REFERENC= 'Maps of Dust Infrared Emission for Use in Estimation of Reddening an'\n",
-       "REFERENC= ' Cosmic Microwave Background Radiation Foregrounds',                '\n",
-       "REFERENC= ' Schlegel, Finkbeiner & Davis 1998 ApJ 500, 525                     '\n",
-       "REFERENC= 'Berkeley mirror site for SFD98 data: http://astron.berkeley.edu/dust'\n",
-       "REFERENC= 'Princeton mirror site for SFD98 data:                               '\n",
-       "REFERENC= '                           http://astro/princeton.edu/~schlegel/dust'\n",
-       "REFERENC= 'HEALPix Home Page: http://www.eso.org/science/healpix/              '\n",
-       "RESOLUTN=                    9 / Resolution index                               \n",
-       "SKYCOORD= 'Galactic'           / Coordinate system                              \n",
-       "PIXTYPE = 'HEALPIX '           / Pixel algorithm                                \n",
-       "ORDERING= 'NESTED  '           / Ordering scheme                                \n",
-       "NSIDE   =                  512 / Resolution parameter                           \n",
-       "NPIX    =              3145728 / # of pixels                                    \n",
-       "FIRSTPIX=                    0 / First pixel (0 based)                          \n",
-       "LASTPIX =              3145727 / Last pixel (0 based)                           "
-      ]
-     },
-     "execution_count": 10,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "# open the downloaded FITS file\n",
-    "hdul = fits.open(outdir / \"Schlegel_extinction_map.fits\")\n",
-    "hdr = hdul[0].header\n",
-    "hdr"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 11,
-   "metadata": {},
-   "outputs": [
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "(3145728,)\n"
-     ]
-    },
-    {
-     "data": {
-      "text/plain": [
-       "FITS_rec([( 9.625492, 1.), (46.090515, 1.), ( 8.18071 , 1.), ...,\n",
-       "          (15.149189, 1.), (14.107367, 1.), (15.463686, 1.)],\n",
-       "         dtype=(numpy.record, [('TEMPERATURE', '>f4'), ('N_OBS', '>f4')]))"
-      ]
-     },
-     "execution_count": 11,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "print((hdul[1].data).shape)\n",
-    "hdul[1].data"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "The data field here has a specific shape. It contains tuples for which the first value is the extinction (named 'TEMPERATURE') and the second one is the number of observations of the value (you can check that it is `1` everywhere)."
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 12,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "extinction_values = hdul[1].data[\"TEMPERATURE\"]"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    " Let's extract the information about the number of sides and the order of the healpix map from the header of the fits file"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 13,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "nside = hdul[0].header[\"NSIDE\"]\n",
-    "norder = hdul[0].header[\"RESOLUTN\"]"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "The header allows to see that this map is in galactic coordinates. We will need to convert this into equatorial coordinates to compare with our other maps."
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 14,
-   "metadata": {},
-   "outputs": [
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "We can check the the NPIX value corresponds to the one in the header here: 3145728\n"
-     ]
-    }
-   ],
-   "source": [
-    "# Creation of an HEALpix grid at order 9 in nested ordering\n",
-    "healpix_index = np.arange(12 * 4**norder, dtype=np.uint64)\n",
-    "print(\n",
-    "    f\"We can check the the NPIX value corresponds to the one in the header here: {len(healpix_index)}\",\n",
-    ")"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 15,
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "<SkyCoord (ICRS): (ra, dec) in deg\n",
-       "    [( 45.        ,  0.0746039 ), ( 45.08789062,  0.14920793),\n",
-       "     ( 44.91210938,  0.14920793), ..., (315.08789062, -0.14920793),\n",
-       "     (314.91210938, -0.14920793), (315.        , -0.0746039 )]>"
-      ]
-     },
-     "execution_count": 15,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "# Get the coordinates of the centers of these healpix cells\n",
-    "center_coordinates_in_equatorial = cdshealpix.healpix_to_skycoord(\n",
-    "    healpix_index,\n",
-    "    depth=9,\n",
-    ")\n",
-    "center_coordinates_in_equatorial"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 16,
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "<SkyCoord (Galactic): (l, b) in deg\n",
-       "    [(176.8796283 , -48.85086427), (176.89078038, -48.7358142 ),\n",
-       "     (176.70525363, -48.86216423), ..., ( 48.82487228, -28.4122831 ),\n",
-       "     ( 48.7216889 , -28.26178141), ( 48.84578935, -28.29847774)]>"
-      ]
-     },
-     "execution_count": 16,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "# Convert this into galactic coordinates\n",
-    "center_coordinates_in_galactic = center_coordinates_in_equatorial.galactic\n",
-    "center_coordinates_in_galactic"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 17,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "# Calculate the bilinear interpolation we must apply to each healpix cell to get the values in the other coordinate system\n",
-    "healpix, weights = cdshealpix.bilinear_interpolation(\n",
-    "    center_coordinates_in_galactic.l,\n",
-    "    center_coordinates_in_galactic.b,\n",
-    "    depth=norder,\n",
-    ")"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 18,
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "array([0.08981742, 0.0991632 , 0.08249644, ..., 0.08323811, 0.08352184,\n",
-       "       0.0820533 ])"
-      ]
-     },
-     "execution_count": 18,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "# Apply the interpolation\n",
-    "ext_map_equatorial_nested = (extinction_values[healpix.data] * weights.data).sum(axis=1)\n",
-    "ext_map_equatorial_nested"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "Next we declare which pixel we want to use, let's take all pixels with an extinction lower than 0.5:"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 19,
-   "metadata": {},
-   "outputs": [
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "The low extinction criteria keeps 86.74% of the sky map\n"
-     ]
-    }
-   ],
-   "source": [
-    "low_extinction_index = np.where(ext_map_equatorial_nested < 0.5)[0]\n",
-    "print(\n",
-    "    f\"The low extinction criteria keeps {round((len(low_extinction_index)/ len(extinction_values)*100), 2)}% of the sky map\",\n",
-    ")"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "And let's create a MOC from this criteria"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 20,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "moc_low_extinction = mocpy.MOC.from_healpix_cells(\n",
-    "    low_extinction_index,\n",
-    "    np.full(\n",
-    "        (\n",
-    "            len(\n",
-    "                low_extinction_index,\n",
-    "            )\n",
-    "        ),\n",
-    "        norder,\n",
-    "    ),\n",
-    "    norder,\n",
-    ")"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "## Step 4:  Find out which regions are covered by the MASH short-red images in the low extinction regions defined above\n",
-    "\n",
-    "To find out the sky regions of the MASH sample that are at low extinction, we build the intersection of the two MOCs."
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 21,
-   "metadata": {},
-   "outputs": [
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "The intersection of the two MOCs covers 0.0013% of the sky\n"
-     ]
-    }
-   ],
-   "source": [
-    "moc_intersection = moc_low_extinction.intersection(moc_mash)\n",
-    "# Once the intersection is bluit, we can for example print the sky fraction :\n",
-    "print(\n",
-    "    f\"The intersection of the two MOCs covers {round(moc_intersection.sky_fraction * 100, 4)}% of the sky\",\n",
-    ")"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "Now we can visualize the coverage of the two MOCs and their intersection. The grey area is where the extinction is low. The blue one is the MASH coverage. The tiny red dots show the MASH coverage in low extinction regions. "
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 22,
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "<matplotlib.legend.Legend at 0x7fca149d8ca0>"
-      ]
-     },
-     "execution_count": 22,
-     "metadata": {},
-     "output_type": "execute_result"
-    },
-    {
-     "data": {
-      "image/png": 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",
-      "text/plain": [
-       "<Figure size 1000x800 with 1 Axes>"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    }
-   ],
-   "source": [
-    "fig = plt.figure(111, figsize=(10, 8))\n",
-    "\n",
-    "with mocpy.WCS(\n",
-    "    fig,\n",
-    "    fov=200 * u.deg,\n",
-    "    center=SkyCoord(200, -20, unit=\"deg\", frame=\"icrs\"),\n",
-    "    coordsys=\"icrs\",\n",
-    "    rotation=Angle(0, u.degree),\n",
-    "    projection=\"AIT\",\n",
-    ") as wcs:\n",
-    "    ax = fig.add_subplot(1, 1, 1, projection=wcs)\n",
-    "\n",
-    "    moc_low_extinction.fill(\n",
-    "        ax=ax,\n",
-    "        wcs=wcs,\n",
-    "        alpha=0.5,\n",
-    "        fill=True,\n",
-    "        color=\"grey\",\n",
-    "        label=\"low extinction\",\n",
-    "    )\n",
-    "    moc_mash.fill(\n",
-    "        ax=ax,\n",
-    "        wcs=wcs,\n",
-    "        alpha=0.5,\n",
-    "        fill=True,\n",
-    "        color=\"dodgerblue\",\n",
-    "        label=\"MASH coverage\",\n",
-    "    )\n",
-    "    moc_intersection.fill(\n",
-    "        ax=ax,\n",
-    "        wcs=wcs,\n",
-    "        alpha=0.5,\n",
-    "        fill=True,\n",
-    "        color=\"crimson\",\n",
-    "        label=\"MASH in low extinction regions\",\n",
-    "    )\n",
-    "    # Sets labels\n",
-    "    ax.set_xlabel(\"RA\")\n",
-    "    ax.set_ylabel(\"Dec\")\n",
-    "    # Sets ticks\n",
-    "    lon, lat = ax.coords[0], ax.coords[1]\n",
-    "    lon.set_major_formatter(\"hh:mm:ss\")\n",
-    "    lat.set_major_formatter(\"dd:mm\")\n",
-    "    lon.set_ticklabel(exclude_overlapping=True)\n",
-    "    lat.set_ticklabel(exclude_overlapping=True)\n",
-    "    lon.set_ticks(spacing=2 * u.hourangle)\n",
-    "plt.legend(bbox_to_anchor=(1, 1))"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "## Step 5: Query the 2MASS and Gaia Catalogues by MOC\n",
-    "\n",
-    "Without the usage of MOC, querying for sources in the low extinction regions covered by the MASH subsample would be tedious or even impossible. Indeed, one would need to load the whole catalog and make selections which would not be possible given the size of some catalogs. Alternatively, one would need to query the catalog field by field, which would take time and several queries. Instead, here we will use the power of MOC files to query large catalogs directly in the covered regions only. We will use coverages of the low extinction and MASH regions to query for sources from the Gaia and 2MASS surveys in these highly non-continuous and non-trivial shape areas.\n",
-    "\n",
-    "First, let's see which Gaia and 2MASS catalogs are available on VizieR. We could, as above, use the TAP endpoint of VizieR. But we show below the `Vizier` module in the `astroquery` package."
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 23,
-   "metadata": {
-    "scrolled": true,
-    "tags": [
-     "output_scroll"
-    ]
-   },
-   "outputs": [
-    {
-     "name": "stderr",
-     "output_type": "stream",
-     "text": [
-      "WARNING: UnitsWarning: The unit 'pix' has been deprecated in the VOUnit standard. [astropy.units.format.utils]\n",
-      "WARNING: UnitsWarning: The unit 'ct' has been deprecated in the VOUnit standard. [astropy.units.format.utils]\n"
-     ]
-    },
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "II/126 :  IRAS Serendipitous Survey Catalog (IPAC 1986)\n",
-      "II/241 :  2MASS Catalog Incremental Data Release (IPAC/UMass, 2000)\n",
-      "II/246 :  2MASS All-Sky Catalog of Point Sources (Cutri+ 2003)\n",
-      "II/281 :  2MASS 6X Point Source Working Database / Catalog (Cutri+ 2006)\n",
-      "II/307 :  WISE Preliminary Data Release (Cutri+ 2011)\n",
-      "II/311 :  WISE All-Sky Data Release (Cutri+ 2012)\n",
-      "II/328 :  AllWISE Data Release (Cutri+ 2013)\n",
-      "II/365 :  The CatWISE2020 catalog (updated version 28-Jan-2021) (Marocco+, 2021)\n",
-      "VII/233 :  The 2MASS Extended sources (IPAC/UMass, 2003-2006)\n",
-      "J/ApJ/560/566 :  K-band galaxy luminosity function from 2MASS (Kochanek+, 2001)\n",
-      "J/ApJ/564/421 :  Spectra of T dwarfs. I. (Burgasser+, 2002)\n",
-      "J/ApJ/569/23 :  Optical polarisation of 2MASS QSOs (Smith+, 2002)\n",
-      "J/ApJ/635/214 :  Chandra X-ray sources and NIR identifications (Ebisawa+, 2005)\n",
-      "J/ApJ/713/330 :  Spitzer observations of major-merger galaxies (Xu+, 2010)\n",
-      "J/ApJ/719/550 :  Deep NIR imaging of {rho} Oph cloud core (Marsh+, 2010)\n",
-      "J/ApJ/741/68 :  Main Belt asteroids with WISE/NEOWISE. I. (Masiero+, 2011)\n",
-      "J/ApJ/742/40 :  Jovian Trojans asteroids with WISE/NEOWISE (Grav+, 2011)\n",
-      "J/ApJ/743/156 :  NEOWISE observations of NEOs: preliminary results (Mainzer+, 2011)\n",
-      "J/ApJ/744/197 :  WISE/NEOWISE observations of Hilda asteroids (Grav+, 2012)\n",
-      "J/ApJ/759/L8 :  WISE/NEOWISE observations of main belt asteroids (Masiero+, 2012)\n",
-      "J/ApJ/760/L12 :  WISE/NEOWISE NEOs preliminary thermal fits (Mainzer+, 2012)\n",
-      "J/ApJ/780/92 :  Light curves of the RR Lyr SDSS J015450.17+001500.7 (Szabo+, 2014)\n",
-      "J/ApJ/783/122 :  AllWISE motion survey (Kirkpatrick+, 2014)\n",
-      "J/ApJ/784/110 :  NEOWISE observations of 105 near-Earth objects (Mainzer+, 2014)\n",
-      "J/ApJ/792/30 :  NEOWISE magnitudes for near-Earth objects (Mainzer+, 2014)\n",
-      "J/ApJ/805/90 :  WISE ELIRGs and comparison with QSOs (Tsai+, 2015)\n",
-      "J/ApJ/814/117 :  NEOWISE Reactivation mission: 1st yr data (Nugent+, 2015)\n",
-      "J/ApJ/874/82 :  Follow-up photometry & spectroscopy of PTF14jg (Hillenbrand+, 2019)\n",
-      "J/ApJS/95/1 :  Atlas of Quasar Energy Distributions (Elvis+ 1994)\n",
-      "J/ApJS/172/663 :  Infrared observations of the Pleiades (Stauffer+, 2007)\n",
-      "J/ApJS/175/191 :  Variables from 2MASS calibration fields (Plavchan+, 2008)\n",
-      "J/ApJS/190/100 :  NIR proper motion survey using 2MASS (Kirkpatrick+, 2010)\n",
-      "J/ApJS/199/26 :  The 2MASS Redshift Survey (2MRS) (Huchra+, 2012)\n",
-      "J/ApJS/224/36 :  The AllWISE motion survey (AllWISE2) (Kirkpatrick+, 2016)\n",
-      "J/ApJS/234/23 :  The WISE AGN candidates catalogs (Assef+, 2018)\n",
-      "J/AJ/112/62 :  Quasar absorption-line systems (Tanner+ 1996)\n",
-      "J/AJ/125/2521 :  2MASS6x survey of the Lockman Hole (Beichman+, 2003)\n",
-      "J/AJ/126/63 :  Host galaxies of 2MASS-QSOs with z<=3 (Hutchings+, 2003)\n",
-      "J/AJ/127/646 :  Unbiased census of AGN in 2MASS (Francis+, 2004)\n",
-      "J/AJ/135/2245 :  Absolute spectrum of the Sun and Vega for 0.2-30um (Rieke+, 2008)\n",
-      "J/AJ/144/148 :  Infrared photometry of brown dwarf and Hyper-LIRG (Griffith+, 2012)\n",
-      "J/AJ/152/63 :  NEOWISE reactivation mission: 2nd yr data (Nugent+, 2016)\n",
-      "J/AJ/154/53 :  WISE/NEOWISE observations of comets (Bauer+, 2017)\n",
-      "J/AJ/154/168 :  NEOWISE: thermal model fits for NEOs and MBAs (Masiero+, 2017)\n",
-      "J/AJ/156/60 :  Thermal model fits for short-arc NEOs with NEOWISE (Masiero+, 2018)\n",
-      "J/PASP/113/10 :  Sub-mJy radio sources complete sample (Masci+, 2001)\n"
-     ]
-    }
-   ],
-   "source": [
-    "catalog_list_twomass = Vizier.find_catalogs(\"Cutri\")\n",
-    "for k, v in catalog_list_twomass.items():\n",
-    "    print(k, \": \", v.description)"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 24,
-   "metadata": {
-    "scrolled": true,
-    "tags": [
-     "output_scroll"
-    ]
-   },
-   "outputs": [
-    {
-     "name": "stderr",
-     "output_type": "stream",
-     "text": [
-      "WARNING: UnitsWarning: Unit 'x' not supported by the VOUnit standard.  [astropy.units.format.vounit]\n",
-      "WARNING: UnitsWarning: Unit 'Earth' not supported by the VOUnit standard.  [astropy.units.format.vounit]\n",
-      "WARNING: UnitsWarning: Unit 'Sun' not supported by the VOUnit standard. Did you mean uN? [astropy.units.format.vounit]\n",
-      "WARNING: UnitsWarning: The unit 'au' has been deprecated in the VOUnit standard. Suggested: 1.4959787e+11m. [astropy.units.format.utils]\n",
-      "WARNING: UnitsWarning: The unit 'pix' has been deprecated in the VOUnit standard. [astropy.units.format.utils]\n",
-      "WARNING: UnitsWarning: The unit 'a' has been deprecated in the VOUnit standard. Suggested: 365.25d. [astropy.units.format.utils]\n",
-      "WARNING: UnitsWarning: Unit 'kau' not supported by the VOUnit standard. Did you mean 1000a, kA, ka (deprecated), kadu or ku? [astropy.units.format.vounit]\n"
-     ]
-    },
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "I/345 :  Gaia DR2 (Gaia Collaboration, 2018)\n",
-      "I/347 :  Distances to 1.33 billion stars in Gaia DR2 (Bailer-Jones+, 2018)\n",
-      "I/349 :  StarHorse, Gaia DR2 photo-astrometric distances (Anders+, 2019)\n",
-      "II/360 :  Gaia DR2 x AllWISE catalogue (Marton+, 2019)\n",
-      "IV/35 :  Gaia DR2-WISE Galactic Plane Matches (Wilson+, 2018)\n",
-      "VI/156 :  M-dwarf Lum-Temp-Radius relationships (Morrell+, 2019)\n",
-      "VII/285 :  Gaia DR2 quasar and galaxy classification (Bailer-Jones+, 2019)\n",
-      "J/ApJ/862/138 :  BANYAN. XIII. Nearby young assoc. with Gaia DR2 (Gagne+, 2018)\n",
-      "J/ApJ/863/89 :  Gaia DR2 PMs of stars in ultra-faint MW satellites (Simon, 2018)\n",
-      "J/ApJ/866/99 :  Revised radii of KIC stars & planets using Gaia DR2 (Berger+, 2018)\n",
-      "J/ApJ/867/151 :  YSOs in the Gould Belt regions with Gaia-DR2 data (Dzib+, 2018)\n",
-      "J/ApJ/868/70 :  Hot subdwarf stars from Gaia DR2 and LAMOST DR5 (Lei+, 2018)\n",
-      "J/ApJ/870/32 :  Kinematics in young star clusters & associations (Kuhn+, 2019)\n",
-      "J/ApJ/872/85 :  Detached eclipsing binaries with Gaia parallaxes (Graczyk+, 2019)\n",
-      "J/ApJ/873/132 :  ICRF3 radio-loud quasars with Gaia DR2 data (Makarov+, 2019)\n",
-      "J/ApJ/874/138 :  Gaia and LAMOST DR4 M giant members of Sgr stream (Li+, 2019)\n",
-      "J/ApJ/875/77 :  Proper motions of MW satellites with Gaia & DES (Pace+, 2019)\n",
-      "J/ApJ/877/29 :  Opt & NIR SMARTS/ANDICAM photometry for DQ Tau (Muzerolle+, 2019)\n",
-      "J/ApJ/878/111 :  Members in Serpens Molecular Cloud with Gaia DR2 (Herczeg+, 2019)\n",
-      "J/ApJ/881/7 :  Hot subdwarf stars from LAMOST DR5 & Gaia DR2 (Luo+, 2019)\n",
-      "J/ApJ/881/135 :  Hot subdwarf stars from Gaia DR2 and LAMOST DR5. II. (Lei+, 2019)\n",
-      "J/ApJ/883/8 :  Cand. young OB stars from GALEX & Gaia DR2 (Casetti-Dinescu+, 2019)\n",
-      "J/ApJ/884/6 :  Known members of Orion A with Gaia DR2 data (McBride+, 2019)\n",
-      "J/ApJ/886/100 :  High-mass white dwarfs in Gaia DR2 (Cheng+, 2019)\n",
-      "J/ApJ/887/126 :  Follow-up obs. of the PSJ0147+4630 lens system (Goicoechea+, 2019)\n",
-      "J/ApJ/888/73 :  Varstrometry of SDSS quasars with Gaia DR2 data (Hwang+, 2020)\n",
-      "J/ApJ/889/99 :  Gaia DR2 Blanco 1 member candidates (Zhang+, 2020)\n",
-      "J/ApJ/889/117 :  Hot subdwarf stars from Gaia DR2 & LAMOST DR6+7. I. (Lei+, 2020)\n",
-      "J/ApJ/889/176 :  Very low-mass binaries with Gaia DR2 data (Faherty+, 2020)\n",
-      "J/ApJ/898/64 :  Hot subdwarf stars from Gaia with LAMOST sp. II. RVs (Luo+, 2020)\n",
-      "J/ApJ/898/173 :  Solar analog rotations from Kepler & Gaia (Do Nascimento+, 2020)\n",
-      "J/ApJ/899/83 :  723 Gaia DR2 White dwarfs cand. in Local Galactic Halo (Kim+, 2020)\n",
-      "J/ApJ/910/46 :  Galactic anticenter substructure stars from LAMOST (Li+, 2021)\n",
-      "J/ApJ/913/120 :  4FGL blazars with Gaia DR2 data (Zeng+, 2021)\n",
-      "J/ApJ/914/16 :  NGC 5128 GCs from PISCes, Gaia DR2 and NSC (Hughes+, 2021)\n",
-      "J/ApJ/914/122 :  Stellar polarimetry with Gaia DR2 data (Doi+, 2021)\n",
-      "J/ApJ/914/123 :  Gaia DR2 and EDR3 stars with sp. follow-up (Ibata+, 2021)\n",
-      "J/ApJ/915/103 :  Oscillator strength ref. for Indus_0 & Indus_13 (Hansen+, 2021)\n",
-      "J/ApJ/921/42 :  Gaia GraL. VI. Quadruply imaged lensed QSOs (Stern+, 2021)\n",
-      "J/ApJS/245/32 :  Newly identified star clusters in Gaia DR2 (Liu+, 2019)\n",
-      "J/ApJS/246/4 :  Catalog of ultrawide binary stars from Gaia DR2 (Tian+, 2020)\n",
-      "J/ApJS/252/3 :  High-velocity stars in the Gal. halo from LAMOST & Gaia (Li+, 2021)\n",
-      "J/ApJS/253/58 :  Ages of field stars from white dwarf comp. in Gaia (Qiu+, 2021)\n",
-      "J/ApJS/254/20 :  Stellar groups in Taurus field from Gaia DR2 & LAMOST (Liu+, 2021)\n",
-      "J/ApJS/256/28 :  Hot subdwarf stars with Gaia DR2 and LAMOST DR7 data (Luo+, 2021)\n",
-      "J/ApJS/260/8 :  541 new open cluster candidates (He+, 2022)\n",
-      "J/A+A/616/A7 :  Gaia DR2 radial velocity standard stars catalog (Soubiran+, 2018)\n",
-      "J/A+A/616/A12 :  Gaia DR2 sources in GC and dSph (Gaia Collaboration+, 2018)\n",
-      "J/A+A/616/A37 :  Close encounters to the Sun in Gaia DR2 (Bailer-Jones+, 2018)\n",
-      "J/A+A/616/L2 :  Planetary Nebulae distances in Gaia DR2 (Kimeswenger+, 2018)\n",
-      "J/A+A/616/L15 :  Parallaxes and Proper Motions of OB stars (Xu+, 2018)\n",
-      "J/A+A/617/A135 :  20 years of photometric microlensing (Mustill+, 2018)\n",
-      "J/A+A/618/A44 :  Predicted microlensing events from Gaia DR2 (Bramich, 2018)\n",
-      "J/A+A/618/A56 :  Gaia GraL. II. Known multiply imaged quasars (Ducourant+, 2018)\n",
-      "J/A+A/618/A59 :  Gaia DR2 confirmed new nearby open clusters (Castro-Ginard+, 2018)\n",
-      "J/A+A/618/A93 :  Gaia DR2 open clusters in the Milky Way (Cantat-Gaudin+, 2018)\n",
-      "J/A+A/619/A8 :  Cepheid period-luminosity-metallicity relation (Groenewegen, 2018)\n",
-      "J/A+A/619/A106 :  3D shape of Orion A from Gaia DR2 (Grossschedl+, 2018)\n",
-      "J/A+A/619/A155 :  Open cluster kinematics with Gaia DR2 (Soubiran+, 2018)\n",
-      "J/A+A/619/A180 :  Gaia DR2 photometric sensitivity curves (Maiz Apellaniz+, 2018)\n",
-      "J/A+A/619/L8 :  Ultra-cool dwarfs candidates in Gaia DR2 (Reyle, 2018)\n",
-      "J/A+A/620/A91 :  New asteroid models (Durech+, 2018)\n",
-      "J/A+A/620/A128 :  Gaia DR2 study of Herbig Ae/Be stars (Vioque+, 2018)\n",
-      "J/A+A/620/A141 :  Physical properties of AM CVn stars (Ramsay+, 2018)\n",
-      "J/A+A/620/A155 :  Gaia proper motions of 7 UFD galaxies (Massari+, 2018)\n",
-      "J/A+A/620/A172 :  Solar neighbourhood young stars 3D mapping (Zari+, 2018)\n",
-      "J/A+A/621/A38 :  Gaia catalogue of hot subluminous stars (Geier+, 2019)\n",
-      "J/A+A/621/A48 :  Gaia-DR2 extended kinematical maps. I. (Lopez-Corredoira+, 2019)\n",
-      "J/A+A/621/L2 :  Hyades tidal tails revealed by Gaia DR2 (Roeser+, 2019)\n",
-      "J/A+A/621/L3 :  Hyades tidal tails with Gaia DR2 (Meingast+, 2019)\n",
-      "J/A+A/622/A60 :  Gaia DR2 misclassified RR Lyrae list (Clementini+, 2019)\n",
-      "J/A+A/622/A165 :  Gaia GraL. III. New lensed systems (Delchambre+, 2019)\n",
-      "J/A+A/622/L13 :  Stellar stream in Gaia DR2 discovery (Meingast+, 2019)\n",
-      "J/A+A/623/A22 :  IC 4996 Vilnius phot. and Gaia DR2 astrometry (Straizys+, 2019)\n",
-      "J/A+A/623/A25 :  Photometric and astrometric study of NGC 6530 (Damiani+, 2019)\n",
-      "J/A+A/623/A72 :  Binarity of Hipparcos stars from Gaia pm anomaly (Kervella+, 2019)\n",
-      "J/A+A/623/A108 :  Age of 269 GDR2 open clusters (Bossini+, 2019)\n",
-      "J/A+A/623/A110 :  Gaia DR2. Variable stars in CMD (Gaia Collaboration+, 2019)\n",
-      "J/A+A/623/A112 :  The Sco OB2 population from Gaia DR2 data (Damiani+, 2019)\n",
-      "J/A+A/623/A116 :  Galactic Cepheids and RR Lyrae multiplicity. I. (Kervella+, 2019)\n",
-      "J/A+A/623/A117 :  Galactic Cepheids and RR Lyrae multiplicity. II (Kervella+, 2019)\n",
-      "J/A+A/623/A129 :  New satellites of the LMC search (Fritz+, 2019)\n",
-      "J/A+A/624/A78 :  Masses and ages of 1059 HARPS-GTO stars (Delgado Mena+, 2019)\n",
-      "J/A+A/624/A126 :  New open clusters in Perseus direction (Cantat-Gaudin+, 2019)\n",
-      "J/A+A/625/A14 :  Reclassification of Cepheids in the Gaia DR2 (Ripepi+, 2019)\n",
-      "J/A+A/626/A80 :  Census of Rho Oph candidate members from Gaia DR2 (Canovas+, 2019)\n",
-      "J/A+A/627/A35 :  New open clusters in Galactic anti-centre (Castro-Ginard+, 2019)\n",
-      "J/A+A/627/A119 :  Extended halo of NGC 2682 (M 67) (Carrera+ 2019)\n",
-      "J/A+A/628/A81 :  Gaia DR2-based catalogue of 237 Ap stars (Scholz+, 2019)\n",
-      "J/A+A/629/A114 :  sigma Ori GTC+INT spectroscopy (Caballero+, 2019)\n",
-      "J/A+A/630/A119 :  Gaia DR2 distances to two clusters (Maiz Apellaniz, 2019)\n",
-      "J/A+A/630/A137 :  Structure and kinematics of the Taurus region (Galli+, 2019)\n",
-      "J/A+A/630/A150 :  Astrometric data for 211 GAPN sample (Gonzalez-Santamaria+, 2019)\n",
-      "J/A+A/631/A2 :  List of new asteroid models (Durech+, 2019)\n",
-      "J/A+A/631/A145 :  HIP stars DEC proper motions comparison (Damljanovic+, 2019)\n",
-      "J/A+A/633/A98 :  Gaia16aye microlensing event photometry (Wyrzykowski+, 2020)\n",
-      "J/A+A/633/A99 :  Gaia DR2 open clusters in the Milky Way. II (Cantat-Gaudin+, 2020)\n",
-      "J/A+A/633/A135 :  Solar neighbourhood carbon stars properties (Abia+, 2020)\n",
-      "J/A+A/634/A98 :  Corona-Australis DANCe. I. (Galli+, 2020)\n",
-      "J/A+A/635/A45 :  570 new open clusters in the Galactic disc (Castro-Ginard+, 2020)\n",
-      "J/A+A/635/L3 :  Candidate member stars of the Sagittarius stream (Antoja+, 2020)\n",
-      "J/A+A/636/A20 :  OGLE-III parallax events with Gaia DR2 (Wyrzykowski+, 2020)\n",
-      "J/A+A/637/A95 :  16 open clusters UBVI and Gaia DR2 photometry (Perren+, 2020)\n",
-      "J/A+A/638/A21 :  New Herbig Ae/Be and classical Be stars catalog (Vioque+, 2020)\n",
-      "J/A+A/638/A103 :  Central stars of planetary nebulae in Gaia DR2 (Chornay+, 2020)\n",
-      "J/A+A/638/A104 :  Gaia DR2 candidate RR Lyrae of Sgr stream & dwarf (Ramos+, 2020)\n",
-      "J/A+A/641/A79 :  FEDReD. Extinction map with 2MASS and Gaia DR2 (Hottier+, 2020)\n",
-      "J/A+A/642/A21 :  Astrometric parameters for 135 OB stars (Russeil+, 2020)\n",
-      "J/A+A/643/A148 :  Lupus DANCe. Census and 6D structure with Gaia-DR2 (Galli+, 2020)\n",
-      "J/A+A/644/A17 :  Astrometrically-selected QSO candidates (Heintz+, 2020)\n",
-      "J/A+A/645/A72 :  Radial velocities of UCAC4 721-037069 (Clavel+, 2021)\n",
-      "J/A+A/645/A116 :  NGC 2808, NGC 6266 and NGC 6397 Gaia DR2 sources (Kundu+, 2021)\n",
-      "J/A+A/646/A46 :  Chamaeleon DANCe. Stellar population with Gaia-DR2 (Galli+, 2021)\n",
-      "J/A+A/646/A99 :  Gaia DR2 Monoceros and ACS candidates (Ramos+, 2021)\n",
-      "J/A+A/646/A104 :  Improving the open cluster census. I. (Hunt+, 2021)\n",
-      "J/A+A/646/A183 :  Transit photometry of NGTS-14Ab (Smith+, 2021)\n",
-      "J/A+A/648/A44 :  Large-amplitude variables in Gaia DR2 (Mowlavi+, 2021)\n",
-      "J/A+A/653/A160 :  Updated radial velocities from Gaia DR2 (Seabroke+, 2021)\n",
-      "J/A+A/657/A131 :  Ten new systems with O stars (Maiz Apellaniz+, 2022)\n",
-      "J/AJ/156/94 :  APOGEE and Gaia DR2 analysis of IC 166 (Schiappacasse-Ulloa+, 2018)\n",
-      "J/AJ/156/139 :  Main belt asteroid shape distrib. from Gaia DR2 (Mommert+, 2018)\n",
-      "J/AJ/156/259 :  Robo-AO detected close binaries in Gaia DR2 (Ziegler+, 2018)\n",
-      "J/AJ/156/264 :  California-Kepler Survey. VII. Planet radius gap (Fulton+, 2018)\n",
-      "J/AJ/157/78 :  Double & multiple star systems from GaiaDR2 (Jimenez-Esteban+, 2019)\n",
-      "J/AJ/158/20 :  K-M stars of class I candidate RSGs in Gaia DR2 (Messineo+, 2019)\n",
-      "J/AJ/158/109 :  Occurrence rates of planets orbiting FGK stars (Hsu+, 2019)\n",
-      "J/AJ/158/155 :  SB candidates from the RAVE & Gaia DR2 surveys (Birko+, 2019)\n",
-      "J/AJ/159/84 :  Machine-learning regression of extinction in Gaia DR2 (Bai+, 2020)\n",
-      "J/AJ/159/95 :  IC 1369 Vilnius photometry and Gaia DR2 astrometry (Straizys+, 2020)\n",
-      "J/AJ/159/121 :  V-band light curve & RVs of the Cepheid V473Lyr (Evans+, 2020)\n",
-      "J/AJ/159/139 :  Multiple M dwarf stars with Robo-AO and Gaia DR2 (Lamman+, 2020)\n",
-      "J/AJ/159/166 :  Membership & properties of moving groups with Gaia (Ujjwal+, 2020)\n",
-      "J/AJ/159/259 :  Opt-NIR light curve of the quasar 3C 273 (Sobrino Figaredo+, 2020)\n",
-      "J/AJ/160/138 :  68 Gaia DR2 ultra-short-period planet host stars (Hamer+, 2020)\n",
-      "J/AJ/160/284 :  2590 binary stars in Hipparcos and Gaia DR2 (Makarov, 2020)\n",
-      "J/AJ/161/65 :  THYME. IV. 3 Exoplanets around TOI-451 B (Newton+, 2021)\n",
-      "J/AJ/161/231 :  A list of ~330000 stars Kepler missed (Wolniewicz+, 2021)\n",
-      "J/AJ/161/234 :  1.7 million K and M dwarfs cross-matching (Medan+, 2021)\n",
-      "J/AJ/161/237 :  Positions of Triton with Sheshan Station telescope (Zhang+, 2021)\n",
-      "J/AJ/162/181 :  RVel & Hipparcos positions of epsilon Eridani (Llop-sayson+, 2021)\n",
-      "J/AJ/163/219 :  Gaia DR2 stellar flybys in the Sco-Cen OB association (Ma+, 2022)\n",
-      "J/PASP/130/L4101 :  NGC 2112, 2477, 7789 and Col 261 members (Gao+ 2018)\n",
-      "J/PASP/131/D4101 :  Likely Pleiades members with Gaia DR2 (Gao, 2019)\n",
-      "J/MNRAS/480/467 :  Surface gravities for 15 000 Kepler stars (Pande+, 2018)\n",
-      "J/MNRAS/480/4505 :  A white dwarf catalogue from Gaia-DR2 (Jimenez-Esteban+, 2018)\n",
-      "J/MNRAS/480/5242 :  (non-)existence of five sparse open clusters (Kos+, 2018)\n",
-      "J/MNRAS/481/1195 :  Gaia DR2 RR Lyrae stars as standard candles (Muraveva+, 2018)\n",
-      "J/MNRAS/481/3887 :  Astrometry and photometry of 7 open clusters (Dias+, 2018)\n",
-      "J/MNRAS/482/4570 :  Gaia DR2 white dwarf candidates (Gentile Fusillo+, 2019)\n",
-      "J/MNRAS/482/5138 :  Galactic GC mean proper motions & velocities (Baumgardt+, 2019)\n",
-      "J/MNRAS/482/5222 :  DA and DB white dwarfs properties in Gaia DR2 (Tremblay+, 2019)\n",
-      "J/MNRAS/483/5508 :  Three new Galactic star clusters (Ferreira+, 2019)\n",
-      "J/MNRAS/484/1838 :  Spatial substructure of Cygnus OB2 (Berlanas+, 2019)\n",
-      "J/MNRAS/484/2832 :  Proper motions of Milky Way globular clusters (Vasiliev, 2019)\n",
-      "J/MNRAS/485/4906 :  GC number density profiles using Gaia DR2 (de Boer+, 2019)\n",
-      "J/MNRAS/485/5573 :  Gaia-DR2 100pc white dwarf population (Torres+, 2019)\n",
-      "J/MNRAS/486/2477 :  Catalogue of members of NGC 6530 (Wright+, 2019)\n",
-      "J/MNRAS/486/5726 :  80 young open clusters from Gaia DR2 (Dias+, 2019)\n",
-      "J/MNRAS/487/1462 :  The metal-rich halo tail extended in z (Fernandez-Alvar+, 2019)\n",
-      "J/MNRAS/487/2385 :  Distances and ages of 150 open clusters (Monteiro+, 2019)\n",
-      "J/MNRAS/487/2771 :  Gaia-DR2 distance to the W3 Complex (Navarete+, 2019)\n",
-      "J/MNRAS/487/4832 :  Period-luminosity relation of red supergiants (Chatys+, 2019)\n",
-      "J/MNRAS/488/2743 :  Giant Galactic dwarf satellite in Gaia DR2 (Torrealba+, 2019)\n",
-      "J/MNRAS/488/2892 :  Gaia DR2 extremely low-mass WD candidates (Pelisoli+, 2019)\n",
-      "J/MNRAS/488/3024 :  Globular clusters members with Gaia DR2 (Bustos Fierro+, 2019)\n",
-      "J/MNRAS/489/2079 :  Calibration of distances with deep learning (Leung+, 2019)\n",
-      "J/MNRAS/489/3093 :  Gaia DR2 parallax of globular clusters (Shao+, 2019)\n",
-      "J/MNRAS/490/157 :  Fastest stars in the Galaxy with Gaia DR2 (Marchetti+, 2019)\n",
-      "J/MNRAS/490/5647 :  Correlations in unbound star trajectories (Montanari+, 2019)\n",
-      "J/MNRAS/492/1164 :  Abundances of Gaia DR2 wide binaries (Hawkins+, 2020)\n",
-      "J/MNRAS/492/L40 :  Disentangling cataclysmic variables in Gaia DR2 (Abril+, 2020)\n",
-      "J/MNRAS/493/2339 :  Internal motions in OB-associations (Melnik+, 2020)\n",
-      "J/MNRAS/495/663 :  Gaia DR2 OB associations (Ward+, 2020)\n",
-      "J/MNRAS/496/2021 :  New Galactic open clusters (Ferreira+, 2020)\n",
-      "J/MNRAS/502/6080 :  New members of Cygnus OB2 from Gaia DR2 (Orellana+, 2021)\n",
-      "J/MNRAS/502/L90 :  Gaia DR2 Galactic bulge new star clusters (Ferreira+, 2021)\n",
-      "J/MNRAS/503/3660 :  Gaia Spectrophotometric Standard Stars. V. (Pancino+, 2021)\n",
-      "J/MNRAS/504/356 :  Updated parameters of 1743 open clusters (Dias+, 2021)\n",
-      "J/MNRAS/505/1135 :  Gaia/IPHAS catalogue of Ha-excess sources (Fratta+, 2021)\n",
-      "J/AZh/97/733 :  Binary Star Pop. with Common Proper Motion (Sapozhnikov+, 2020)\n",
-      "J/AZh/98/239 :  Orbits of Four Visual Binaries (Romanenko+, 2021)\n",
-      "J/AN/340/386 :  Catalogue of spectroscopic binary candidate stars (Jack, 2019)\n",
-      "J/AN/341/770 :  Corrected proper motion for HIP stars (Damljanovic, 2020)\n",
-      "J/AN/342/538 :  Frolov 1 and NGC 7510 CCD UBV photometry (Yontan+, 2021)\n",
-      "J/AcA/68/351 :  Predicted Microlensing Events by nearby VLM objects (Nielsen+ 2018)\n",
-      "J/other/ApSS/365.112 :  Kinematic data for high luminosity stars (Melnik+, 2020)\n",
-      "J/other/RAA/21.93 :  74 new open clusters found in Gaia DR2 (He+, 2021)\n",
-      "J/other/JDSO/15.434 :  New Binary Systems from Data of Gaia DR2 (Romanov, 2019)\n"
-     ]
-    },
-    {
-     "name": "stderr",
-     "output_type": "stream",
-     "text": [
-      "WARNING: UnitsWarning: Unit 'k' not supported by the VOUnit standard. Did you mean K? [astropy.units.format.vounit]\n"
-     ]
-    }
-   ],
-   "source": [
-    "catalog_list_gaia = Vizier.find_catalogs(\"Gaia DR2\", max_catalogs=1000)\n",
-    "for k, v in catalog_list_gaia.items():\n",
-    "    print(k, \": \", v.description)"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "For 2MASS we will want to use `II/246 :  2MASS All-Sky Catalog of Point Sources (Cutri+ 2003)` and for Gaia `I/345 :  Gaia DR2 (Gaia Collaboration, 2018)`. Before we query the full two tables we only look at a few sources for each table to understand which columns are available. The query below will give us 50 sources each -- the default for the `get_catalogs` method."
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 25,
-   "metadata": {
-    "scrolled": true,
-    "tags": [
-     "output_scroll"
-    ]
-   },
-   "outputs": [
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "TableList with 1 tables:\n",
-      "\t'0:II/246/out' with 15 column(s) and 50 row(s) \n"
-     ]
-    },
-    {
-     "data": {
-      "text/html": [
-       "<div><i>Table length=50</i>\n",
-       "<table id=\"table140505900973120\" class=\"table-striped table-bordered table-condensed\">\n",
-       "<thead><tr><th>RAJ2000</th><th>DEJ2000</th><th>_2MASS</th><th>Jmag</th><th>e_Jmag</th><th>Hmag</th><th>e_Hmag</th><th>Kmag</th><th>e_Kmag</th><th>Qflg</th><th>Rflg</th><th>Bflg</th><th>Cflg</th><th>Xflg</th><th>Aflg</th></tr></thead>\n",
-       "<thead><tr><th>deg</th><th>deg</th><th></th><th>mag</th><th>mag</th><th>mag</th><th>mag</th><th>mag</th><th>mag</th><th></th><th></th><th></th><th></th><th></th><th></th></tr></thead>\n",
-       "<thead><tr><th>float64</th><th>float64</th><th>str17</th><th>float32</th><th>float32</th><th>float32</th><th>float32</th><th>float32</th><th>float32</th><th>str3</th><th>str3</th><th>str3</th><th>str3</th><th>uint8</th><th>uint8</th></tr></thead>\n",
-       "<tr><td>44.880847</td><td>0.616721</td><td>02593140+0037001</td><td>13.799</td><td>0.025</td><td>13.222</td><td>0.026</td><td>13.167</td><td>0.037</td><td>AAA</td><td>222</td><td>111</td><td>000</td><td>0</td><td>0</td></tr>\n",
-       "<tr><td>44.919229</td><td>0.610531</td><td>02594061+0036379</td><td>16.794</td><td>0.158</td><td>16.093</td><td>0.170</td><td>15.451</td><td>0.206</td><td>CCC</td><td>222</td><td>111</td><td>000</td><td>0</td><td>0</td></tr>\n",
-       "<tr><td>44.921658</td><td>0.617475</td><td>02594119+0037029</td><td>14.666</td><td>0.033</td><td>14.261</td><td>0.043</td><td>14.140</td><td>0.067</td><td>AAA</td><td>222</td><td>111</td><td>000</td><td>0</td><td>0</td></tr>\n",
-       "<tr><td>44.906036</td><td>0.626795</td><td>02593744+0037364</td><td>15.339</td><td>0.050</td><td>14.535</td><td>0.051</td><td>13.654</td><td>0.045</td><td>AAA</td><td>222</td><td>111</td><td>000</td><td>0</td><td>0</td></tr>\n",
-       "<tr><td>44.935480</td><td>0.621464</td><td>02594451+0037172</td><td>16.350</td><td>0.198</td><td>15.759</td><td>0.266</td><td>15.198</td><td>0.208</td><td>CDC</td><td>222</td><td>111</td><td>ccc</td><td>0</td><td>0</td></tr>\n",
-       "<tr><td>44.937738</td><td>0.624476</td><td>02594505+0037281</td><td>8.227</td><td>0.023</td><td>8.079</td><td>--</td><td>7.871</td><td>--</td><td>AUU</td><td>166</td><td>100</td><td>c00</td><td>0</td><td>0</td></tr>\n",
-       "<tr><td>44.937798</td><td>0.625384</td><td>02594507+0037313</td><td>8.562</td><td>0.048</td><td>8.094</td><td>0.042</td><td>7.972</td><td>0.063</td><td>AAA</td><td>111</td><td>111</td><td>ccc</td><td>0</td><td>0</td></tr>\n",
-       "<tr><td>44.915768</td><td>0.634722</td><td>02593978+0038049</td><td>16.275</td><td>0.104</td><td>15.532</td><td>0.098</td><td>15.565</td><td>0.228</td><td>AAD</td><td>222</td><td>111</td><td>000</td><td>0</td><td>0</td></tr>\n",
-       "<tr><td>44.897343</td><td>0.629454</td><td>02593536+0037460</td><td>15.688</td><td>0.064</td><td>15.529</td><td>0.102</td><td>15.062</td><td>0.150</td><td>AAB</td><td>222</td><td>111</td><td>000</td><td>0</td><td>0</td></tr>\n",
-       "<tr><td>...</td><td>...</td><td>...</td><td>...</td><td>...</td><td>...</td><td>...</td><td>...</td><td>...</td><td>...</td><td>...</td><td>...</td><td>...</td><td>...</td><td>...</td></tr>\n",
-       "<tr><td>44.856553</td><td>0.682358</td><td>02592557+0040564</td><td>13.869</td><td>--</td><td>13.752</td><td>--</td><td>13.295</td><td>0.059</td><td>UUE</td><td>002</td><td>001</td><td>00c</td><td>0</td><td>0</td></tr>\n",
-       "<tr><td>44.785319</td><td>0.640323</td><td>02590847+0038251</td><td>16.398</td><td>0.134</td><td>15.889</td><td>0.148</td><td>15.408</td><td>0.195</td><td>BBC</td><td>222</td><td>111</td><td>000</td><td>0</td><td>0</td></tr>\n",
-       "<tr><td>44.788202</td><td>0.655162</td><td>02590916+0039185</td><td>15.973</td><td>0.089</td><td>15.531</td><td>0.122</td><td>14.965</td><td>0.137</td><td>ABB</td><td>222</td><td>111</td><td>000</td><td>0</td><td>0</td></tr>\n",
-       "<tr><td>44.806605</td><td>0.671498</td><td>02591358+0040173</td><td>15.770</td><td>0.071</td><td>15.275</td><td>0.080</td><td>15.149</td><td>0.155</td><td>AAB</td><td>222</td><td>111</td><td>000</td><td>0</td><td>0</td></tr>\n",
-       "<tr><td>44.771958</td><td>0.697915</td><td>02590526+0041524</td><td>16.373</td><td>0.126</td><td>15.634</td><td>0.170</td><td>15.013</td><td>0.149</td><td>BCB</td><td>222</td><td>111</td><td>000</td><td>0</td><td>0</td></tr>\n",
-       "<tr><td>44.794553</td><td>0.719519</td><td>02591069+0043102</td><td>16.459</td><td>0.131</td><td>16.263</td><td>0.219</td><td>16.233</td><td>--</td><td>BDU</td><td>220</td><td>110</td><td>000</td><td>0</td><td>0</td></tr>\n",
-       "<tr><td>44.816167</td><td>0.725490</td><td>02591588+0043317</td><td>14.996</td><td>0.047</td><td>14.406</td><td>0.030</td><td>14.239</td><td>0.071</td><td>AAA</td><td>222</td><td>111</td><td>000</td><td>0</td><td>0</td></tr>\n",
-       "<tr><td>44.461157</td><td>0.461605</td><td>02575067+0027417</td><td>15.449</td><td>0.059</td><td>14.891</td><td>0.070</td><td>14.732</td><td>0.087</td><td>AAA</td><td>222</td><td>111</td><td>000</td><td>0</td><td>0</td></tr>\n",
-       "<tr><td>44.445146</td><td>0.474037</td><td>02574683+0028265</td><td>16.127</td><td>0.113</td><td>15.826</td><td>0.166</td><td>15.801</td><td>0.242</td><td>BCD</td><td>222</td><td>111</td><td>000</td><td>0</td><td>0</td></tr>\n",
-       "<tr><td>44.459680</td><td>0.483199</td><td>02575032+0028595</td><td>14.214</td><td>0.032</td><td>13.861</td><td>0.036</td><td>13.713</td><td>0.040</td><td>AAA</td><td>222</td><td>111</td><td>000</td><td>0</td><td>0</td></tr>\n",
-       "</table></div>"
-      ],
-      "text/plain": [
-       "<Table length=50>\n",
-       " RAJ2000    DEJ2000        _2MASS        Jmag   e_Jmag ... Bflg Cflg  Xflg  Aflg\n",
-       "   deg        deg                        mag     mag   ...                      \n",
-       " float64    float64        str17       float32 float32 ... str3 str3 uint8 uint8\n",
-       "---------- ---------- ---------------- ------- ------- ... ---- ---- ----- -----\n",
-       " 44.880847   0.616721 02593140+0037001  13.799   0.025 ...  111  000     0     0\n",
-       " 44.919229   0.610531 02594061+0036379  16.794   0.158 ...  111  000     0     0\n",
-       " 44.921658   0.617475 02594119+0037029  14.666   0.033 ...  111  000     0     0\n",
-       " 44.906036   0.626795 02593744+0037364  15.339   0.050 ...  111  000     0     0\n",
-       " 44.935480   0.621464 02594451+0037172  16.350   0.198 ...  111  ccc     0     0\n",
-       " 44.937738   0.624476 02594505+0037281   8.227   0.023 ...  100  c00     0     0\n",
-       " 44.937798   0.625384 02594507+0037313   8.562   0.048 ...  111  ccc     0     0\n",
-       " 44.915768   0.634722 02593978+0038049  16.275   0.104 ...  111  000     0     0\n",
-       " 44.897343   0.629454 02593536+0037460  15.688   0.064 ...  111  000     0     0\n",
-       "       ...        ...              ...     ...     ... ...  ...  ...   ...   ...\n",
-       " 44.856553   0.682358 02592557+0040564  13.869      -- ...  001  00c     0     0\n",
-       " 44.785319   0.640323 02590847+0038251  16.398   0.134 ...  111  000     0     0\n",
-       " 44.788202   0.655162 02590916+0039185  15.973   0.089 ...  111  000     0     0\n",
-       " 44.806605   0.671498 02591358+0040173  15.770   0.071 ...  111  000     0     0\n",
-       " 44.771958   0.697915 02590526+0041524  16.373   0.126 ...  111  000     0     0\n",
-       " 44.794553   0.719519 02591069+0043102  16.459   0.131 ...  110  000     0     0\n",
-       " 44.816167   0.725490 02591588+0043317  14.996   0.047 ...  111  000     0     0\n",
-       " 44.461157   0.461605 02575067+0027417  15.449   0.059 ...  111  000     0     0\n",
-       " 44.445146   0.474037 02574683+0028265  16.127   0.113 ...  111  000     0     0\n",
-       " 44.459680   0.483199 02575032+0028595  14.214   0.032 ...  111  000     0     0"
-      ]
-     },
-     "execution_count": 25,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "test_twomass = Vizier.get_catalogs(\"II/246\")\n",
-    "print(test_twomass)\n",
-    "test_twomass[0]"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 26,
-   "metadata": {
-    "scrolled": true,
-    "tags": [
-     "output_scroll"
-    ]
-   },
-   "outputs": [
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "TableList with 20 tables:\n",
-      "\t'0:I/345/gaia2' with 32 column(s) and 50 row(s) \n",
-      "\t'1:I/345/rvstdcat' with 32 column(s) and 50 row(s) \n",
-      "\t'2:I/345/rvstdmes' with 7 column(s) and 50 row(s) \n",
-      "\t'3:I/345/allwise' with 2 column(s) and 50 row(s) \n",
-      "\t'4:I/345/iers' with 2 column(s) and 50 row(s) \n",
-      "\t'5:I/345/cepheid' with 25 column(s) and 50 row(s) \n",
-      "\t'6:I/345/rrlyrae' with 23 column(s) and 50 row(s) \n",
-      "\t'7:I/345/lpv' with 13 column(s) and 50 row(s) \n",
-      "\t'8:I/345/varres' with 9 column(s) and 50 row(s) \n",
-      "\t'9:I/345/shortts' with 9 column(s) and 50 row(s) \n",
-      "\t'10:I/345/tsstat' with 13 column(s) and 50 row(s) \n",
-      "\t'11:I/345/numtrans' with 4 column(s) and 50 row(s) \n",
-      "\t'12:I/345/transits' with 20 column(s) and 50 row(s) \n",
-      "\t'13:I/345/rm' with 9 column(s) and 50 row(s) \n",
-      "\t'14:I/345/rmseg' with 16 column(s) and 50 row(s) \n",
-      "\t'15:I/345/rmout' with 2 column(s) and 50 row(s) \n",
-      "\t'16:I/345/ssoobj' with 6 column(s) and 50 row(s) \n",
-      "\t'17:I/345/ssoorb' with 19 column(s) and 50 row(s) \n",
-      "\t'18:I/345/ssores' with 10 column(s) and 50 row(s) \n",
-      "\t'19:I/345/ssoobs' with 7 column(s) and 50 row(s) \n"
-     ]
-    },
-    {
-     "data": {
-      "text/html": [
-       "<div><i>Table length=50</i>\n",
-       "<table id=\"table140505900972544\" class=\"table-striped table-bordered table-condensed\">\n",
-       "<thead><tr><th>RA_ICRS</th><th>e_RA_ICRS</th><th>DE_ICRS</th><th>e_DE_ICRS</th><th>Source</th><th>Plx</th><th>e_Plx</th><th>pmRA</th><th>e_pmRA</th><th>pmDE</th><th>e_pmDE</th><th>Dup</th><th>FG</th><th>e_FG</th><th>Gmag</th><th>e_Gmag</th><th>FBP</th><th>e_FBP</th><th>BPmag</th><th>e_BPmag</th><th>FRP</th><th>e_FRP</th><th>RPmag</th><th>e_RPmag</th><th>BP-RP</th><th>RV</th><th>e_RV</th><th>Teff</th><th>AG</th><th>E_BP-RP_</th><th>Rad</th><th>Lum</th></tr></thead>\n",
-       "<thead><tr><th>deg</th><th>mas</th><th>deg</th><th>mas</th><th></th><th>mas</th><th>mas</th><th>mas / yr</th><th>mas / yr</th><th>mas / yr</th><th>mas / yr</th><th></th><th></th><th></th><th>mag</th><th>mag</th><th></th><th></th><th>mag</th><th>mag</th><th></th><th></th><th>mag</th><th>mag</th><th>mag</th><th>km / s</th><th>km / s</th><th>K</th><th>mag</th><th>mag</th><th>solRad</th><th>solLum</th></tr></thead>\n",
-       "<thead><tr><th>float64</th><th>float64</th><th>float64</th><th>float64</th><th>int64</th><th>float64</th><th>float32</th><th>float64</th><th>float32</th><th>float64</th><th>float32</th><th>uint8</th><th>float32</th><th>float32</th><th>float64</th><th>float64</th><th>float32</th><th>float32</th><th>float64</th><th>float64</th><th>float32</th><th>float32</th><th>float64</th><th>float64</th><th>float64</th><th>float64</th><th>float32</th><th>float64</th><th>float32</th><th>float32</th><th>float32</th><th>float64</th></tr></thead>\n",
-       "<tr><td>43.37567140984</td><td>0.0787</td><td>1.64767103696</td><td>0.0624</td><td>1199434042673152</td><td>0.2597</td><td>0.0806</td><td>5.630</td><td>0.180</td><td>-11.762</td><td>0.137</td><td>0</td><td>3953</td><td>5.578</td><td>16.6960</td><td>0.0015</td><td>2269</td><td>15.95</td><td>16.9616</td><td>0.0076</td><td>2538</td><td>15.98</td><td>16.2506</td><td>0.0068</td><td>0.7110</td><td>--</td><td>--</td><td>6178.67</td><td>0.2280</td><td>0.1035</td><td>--</td><td>--</td></tr>\n",
-       "<tr><td>43.37501305522</td><td>2.3985</td><td>1.65561930146</td><td>1.9277</td><td>1199434042672896</td><td>--</td><td>--</td><td>--</td><td>--</td><td>--</td><td>--</td><td>1</td><td>111.4</td><td>1.406</td><td>20.5716</td><td>0.0137</td><td>65.92</td><td>8.151</td><td>20.8038</td><td>0.1343</td><td>180.1</td><td>6.338</td><td>19.1234</td><td>0.0382</td><td>1.6804</td><td>--</td><td>--</td><td>--</td><td>--</td><td>--</td><td>--</td><td>--</td></tr>\n",
-       "<tr><td>43.39513270047</td><td>0.1276</td><td>1.66076645797</td><td>0.1179</td><td>1199468402410624</td><td>1.2089</td><td>0.1449</td><td>2.465</td><td>0.279</td><td>-6.976</td><td>0.244</td><td>0</td><td>1314</td><td>2.141</td><td>17.8916</td><td>0.0018</td><td>398</td><td>11.42</td><td>18.8517</td><td>0.0312</td><td>1430</td><td>9.682</td><td>16.8733</td><td>0.0073</td><td>1.9783</td><td>--</td><td>--</td><td>--</td><td>--</td><td>--</td><td>--</td><td>--</td></tr>\n",
-       "<tr><td>43.37664436023</td><td>0.0398</td><td>1.66474921324</td><td>0.0336</td><td>1199537121887616</td><td>2.7472</td><td>0.0434</td><td>5.349</td><td>0.084</td><td>-1.891</td><td>0.072</td><td>0</td><td>1.232e+04</td><td>7.005</td><td>15.4614</td><td>0.0006</td><td>4113</td><td>17.66</td><td>16.3159</td><td>0.0047</td><td>1.211e+04</td><td>42.33</td><td>14.5544</td><td>0.0038</td><td>1.7615</td><td>--</td><td>--</td><td>3999.00</td><td>0.4920</td><td>0.2305</td><td>0.68</td><td>0.108</td></tr>\n",
-       "<tr><td>43.37133802402</td><td>0.0426</td><td>1.67097166249</td><td>0.0353</td><td>1199537121887488</td><td>3.0263</td><td>0.0463</td><td>-6.832</td><td>0.088</td><td>-0.149</td><td>0.076</td><td>0</td><td>1.01e+04</td><td>6.026</td><td>15.6773</td><td>0.0006</td><td>3114</td><td>17.36</td><td>16.6179</td><td>0.0061</td><td>1.042e+04</td><td>22.19</td><td>14.7171</td><td>0.0023</td><td>1.9009</td><td>--</td><td>--</td><td>3849.10</td><td>0.0730</td><td>0.0385</td><td>0.64</td><td>0.080</td></tr>\n",
-       "<tr><td>43.37037401008</td><td>0.0591</td><td>1.67298947920</td><td>0.0502</td><td>1199537121887232</td><td>3.1012</td><td>0.0643</td><td>-6.557</td><td>0.126</td><td>0.241</td><td>0.105</td><td>0</td><td>5374</td><td>5.161</td><td>16.3627</td><td>0.0010</td><td>1458</td><td>16.53</td><td>17.4420</td><td>0.0123</td><td>5955</td><td>17.24</td><td>15.3247</td><td>0.0031</td><td>2.1173</td><td>--</td><td>--</td><td>3629.00</td><td>0.2912</td><td>0.1525</td><td>0.55</td><td>0.047</td></tr>\n",
-       "<tr><td>43.28964426631</td><td>2.2481</td><td>1.61837293176</td><td>2.7001</td><td>1199571481659904</td><td>--</td><td>--</td><td>--</td><td>--</td><td>--</td><td>--</td><td>0</td><td>185.1</td><td>2.015</td><td>20.0200</td><td>0.0118</td><td>179.7</td><td>9.093</td><td>19.7150</td><td>0.0549</td><td>509.2</td><td>8.803</td><td>17.9946</td><td>0.0188</td><td>1.7204</td><td>--</td><td>--</td><td>--</td><td>--</td><td>--</td><td>--</td><td>--</td></tr>\n",
-       "<tr><td>43.28266478407</td><td>0.1879</td><td>1.61673564165</td><td>0.2327</td><td>1199567185943808</td><td>2.9764</td><td>0.2883</td><td>45.350</td><td>0.398</td><td>-37.403</td><td>0.396</td><td>0</td><td>839.2</td><td>1.861</td><td>18.3787</td><td>0.0024</td><td>140.3</td><td>11.59</td><td>19.9839</td><td>0.0897</td><td>1090</td><td>9.65</td><td>17.1686</td><td>0.0096</td><td>2.8153</td><td>--</td><td>--</td><td>--</td><td>--</td><td>--</td><td>--</td><td>--</td></tr>\n",
-       "<tr><td>43.28541334923</td><td>0.1972</td><td>1.62910580263</td><td>0.2925</td><td>1199670265163008</td><td>0.3526</td><td>0.3248</td><td>-0.637</td><td>0.421</td><td>1.528</td><td>0.446</td><td>0</td><td>842.1</td><td>2.046</td><td>18.3750</td><td>0.0026</td><td>365.5</td><td>10.56</td><td>18.9441</td><td>0.0314</td><td>739.7</td><td>13.66</td><td>17.5893</td><td>0.0201</td><td>1.3548</td><td>--</td><td>--</td><td>--</td><td>--</td><td>--</td><td>--</td><td>--</td></tr>\n",
-       "<tr><td>...</td><td>...</td><td>...</td><td>...</td><td>...</td><td>...</td><td>...</td><td>...</td><td>...</td><td>...</td><td>...</td><td>...</td><td>...</td><td>...</td><td>...</td><td>...</td><td>...</td><td>...</td><td>...</td><td>...</td><td>...</td><td>...</td><td>...</td><td>...</td><td>...</td><td>...</td><td>...</td><td>...</td><td>...</td><td>...</td><td>...</td><td>...</td></tr>\n",
-       "<tr><td>43.16260585484</td><td>0.6304</td><td>1.63909018647</td><td>0.6567</td><td>1201560050910976</td><td>0.5479</td><td>0.7111</td><td>17.964</td><td>1.262</td><td>-4.538</td><td>1.243</td><td>0</td><td>197.1</td><td>1.535</td><td>19.9519</td><td>0.0085</td><td>96.65</td><td>17.38</td><td>20.3884</td><td>0.1952</td><td>243.9</td><td>19.17</td><td>18.7938</td><td>0.0853</td><td>1.5946</td><td>--</td><td>--</td><td>--</td><td>--</td><td>--</td><td>--</td><td>--</td></tr>\n",
-       "<tr><td>43.18328248057</td><td>8.6373</td><td>1.65409284989</td><td>2.3734</td><td>1201598706261248</td><td>--</td><td>--</td><td>--</td><td>--</td><td>--</td><td>--</td><td>0</td><td>89.12</td><td>1.449</td><td>20.8134</td><td>0.0177</td><td>58.07</td><td>12.11</td><td>20.9414</td><td>0.2264</td><td>59.16</td><td>16.44</td><td>20.3319</td><td>0.3018</td><td>0.6095</td><td>--</td><td>--</td><td>--</td><td>--</td><td>--</td><td>--</td><td>--</td></tr>\n",
-       "<tr><td>43.21840897363</td><td>0.0617</td><td>1.65948241460</td><td>0.0700</td><td>1201667425669504</td><td>0.4540</td><td>0.0731</td><td>3.966</td><td>0.124</td><td>3.945</td><td>0.133</td><td>0</td><td>5465</td><td>4.957</td><td>16.3444</td><td>0.0010</td><td>2883</td><td>17.56</td><td>16.7017</td><td>0.0066</td><td>3788</td><td>20.21</td><td>15.8160</td><td>0.0058</td><td>0.8857</td><td>--</td><td>--</td><td>5635.63</td><td>0.2535</td><td>0.1298</td><td>--</td><td>--</td></tr>\n",
-       "<tr><td>43.21564596936</td><td>0.4823</td><td>1.66024893820</td><td>0.5461</td><td>1201663129995264</td><td>1.4655</td><td>0.5736</td><td>2.869</td><td>1.014</td><td>0.636</td><td>1.094</td><td>0</td><td>234.6</td><td>1.388</td><td>19.7625</td><td>0.0064</td><td>91.28</td><td>10.27</td><td>20.4504</td><td>0.1221</td><td>275.5</td><td>9.663</td><td>18.6617</td><td>0.0381</td><td>1.7887</td><td>--</td><td>--</td><td>--</td><td>--</td><td>--</td><td>--</td><td>--</td></tr>\n",
-       "<tr><td>43.20386956231</td><td>0.1152</td><td>1.66081348887</td><td>0.1243</td><td>1201667425669888</td><td>0.2775</td><td>0.1406</td><td>1.284</td><td>0.249</td><td>-2.669</td><td>0.260</td><td>0</td><td>1856</td><td>2.826</td><td>17.5168</td><td>0.0017</td><td>992.7</td><td>36.83</td><td>17.8593</td><td>0.0403</td><td>1309</td><td>14.67</td><td>16.9699</td><td>0.0122</td><td>0.8894</td><td>--</td><td>--</td><td>--</td><td>--</td><td>--</td><td>--</td><td>--</td></tr>\n",
-       "<tr><td>43.12139599208</td><td>17.1743</td><td>1.61414835070</td><td>8.1939</td><td>1201804864208000</td><td>--</td><td>--</td><td>--</td><td>--</td><td>--</td><td>--</td><td>1</td><td>112.6</td><td>2.928</td><td>20.5597</td><td>0.0282</td><td>27.37</td><td>15.66</td><td>21.7583</td><td>0.6211</td><td>266.1</td><td>12.32</td><td>18.6994</td><td>0.0503</td><td>3.0589</td><td>--</td><td>--</td><td>--</td><td>--</td><td>--</td><td>--</td><td>--</td></tr>\n",
-       "<tr><td>43.14339449010</td><td>0.0270</td><td>1.65068368722</td><td>0.0263</td><td>1202384684461440</td><td>3.3337</td><td>0.0319</td><td>54.576</td><td>0.056</td><td>-61.800</td><td>0.055</td><td>0</td><td>4.091e+04</td><td>14.45</td><td>14.1587</td><td>0.0004</td><td>1.731e+04</td><td>30.26</td><td>14.7556</td><td>0.0019</td><td>3.394e+04</td><td>107.3</td><td>13.4351</td><td>0.0034</td><td>1.3204</td><td>--</td><td>--</td><td>5049.69</td><td>--</td><td>--</td><td>0.52</td><td>0.159</td></tr>\n",
-       "<tr><td>43.09609491604</td><td>0.0432</td><td>1.63648124122</td><td>0.0364</td><td>1202075446817152</td><td>2.8015</td><td>0.0453</td><td>19.838</td><td>0.091</td><td>-14.500</td><td>0.075</td><td>0</td><td>5.243e+05</td><td>327.6</td><td>11.3894</td><td>0.0007</td><td>2.91e+05</td><td>253</td><td>11.6918</td><td>0.0009</td><td>3.361e+05</td><td>390.1</td><td>10.9459</td><td>0.0013</td><td>0.7460</td><td>-2.33</td><td>0.66</td><td>5926.00</td><td>0.4810</td><td>0.2410</td><td>1.53</td><td>2.618</td></tr>\n",
-       "<tr><td>43.09701024614</td><td>0.1373</td><td>1.64733321106</td><td>0.1376</td><td>1202075446851968</td><td>1.9128</td><td>0.1646</td><td>-6.063</td><td>0.273</td><td>1.246</td><td>0.247</td><td>0</td><td>1598</td><td>3.348</td><td>17.6797</td><td>0.0023</td><td>398.2</td><td>5.162</td><td>18.8510</td><td>0.0141</td><td>1856</td><td>16.5</td><td>16.5906</td><td>0.0097</td><td>2.2604</td><td>--</td><td>--</td><td>--</td><td>--</td><td>--</td><td>--</td><td>--</td></tr>\n",
-       "<tr><td>43.07008499536</td><td>2.3747</td><td>1.64028324280</td><td>6.6744</td><td>1202109806879360</td><td>--</td><td>--</td><td>--</td><td>--</td><td>--</td><td>--</td><td>0</td><td>91.25</td><td>2.553</td><td>20.7878</td><td>0.0304</td><td>67.64</td><td>37.05</td><td>20.7759</td><td>0.5948</td><td>147.4</td><td>29.38</td><td>19.3404</td><td>0.2164</td><td>1.4355</td><td>--</td><td>--</td><td>--</td><td>--</td><td>--</td><td>--</td><td>--</td></tr>\n",
-       "</table></div>"
-      ],
-      "text/plain": [
-       "<Table length=50>\n",
-       "    RA_ICRS     e_RA_ICRS     DE_ICRS     ... E_BP-RP_   Rad      Lum   \n",
-       "      deg          mas          deg       ...   mag     solRad   solLum \n",
-       "    float64      float64      float64     ... float32  float32  float64 \n",
-       "--------------- --------- --------------- ... -------- ------- ---------\n",
-       " 43.37567140984    0.0787   1.64767103696 ...   0.1035      --        --\n",
-       " 43.37501305522    2.3985   1.65561930146 ...       --      --        --\n",
-       " 43.39513270047    0.1276   1.66076645797 ...       --      --        --\n",
-       " 43.37664436023    0.0398   1.66474921324 ...   0.2305    0.68     0.108\n",
-       " 43.37133802402    0.0426   1.67097166249 ...   0.0385    0.64     0.080\n",
-       " 43.37037401008    0.0591   1.67298947920 ...   0.1525    0.55     0.047\n",
-       " 43.28964426631    2.2481   1.61837293176 ...       --      --        --\n",
-       " 43.28266478407    0.1879   1.61673564165 ...       --      --        --\n",
-       " 43.28541334923    0.1972   1.62910580263 ...       --      --        --\n",
-       "            ...       ...             ... ...      ...     ...       ...\n",
-       " 43.16260585484    0.6304   1.63909018647 ...       --      --        --\n",
-       " 43.18328248057    8.6373   1.65409284989 ...       --      --        --\n",
-       " 43.21840897363    0.0617   1.65948241460 ...   0.1298      --        --\n",
-       " 43.21564596936    0.4823   1.66024893820 ...       --      --        --\n",
-       " 43.20386956231    0.1152   1.66081348887 ...       --      --        --\n",
-       " 43.12139599208   17.1743   1.61414835070 ...       --      --        --\n",
-       " 43.14339449010    0.0270   1.65068368722 ...       --    0.52     0.159\n",
-       " 43.09609491604    0.0432   1.63648124122 ...   0.2410    1.53     2.618\n",
-       " 43.09701024614    0.1373   1.64733321106 ...       --      --        --\n",
-       " 43.07008499536    2.3747   1.64028324280 ...       --      --        --"
-      ]
-     },
-     "execution_count": 26,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "test_gaia = Vizier.get_catalogs(\"I/345\")\n",
-    "print(test_gaia)\n",
-    "test_gaia[0]"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "As you will see below, we only need coordinates, 2MASS photometry in the H and K band, and Gaia photometry in the Gaia G band. So we'll query the tables `II/246/out` for 2MASS and `I/345/gaia2` for Gaia DR2:"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 27,
-   "metadata": {
-    "scrolled": true,
-    "tags": [
-     "output_scroll"
-    ]
-   },
-   "outputs": [
-    {
-     "data": {
-      "text/html": [
-       "<div><i>Table length=19784</i>\n",
-       "<table id=\"table140505950158176\" class=\"table-striped table-bordered table-condensed\">\n",
-       "<thead><tr><th>_2MASS</th><th>RAJ2000</th><th>DEJ2000</th><th>errHalfMaj</th><th>errHalfMin</th><th>errPosAng</th><th>Jmag</th><th>Hmag</th><th>Kmag</th><th>e_Jmag</th><th>e_Hmag</th><th>e_Kmag</th><th>Qfl</th><th>Rfl</th><th>X</th><th>MeasureJD</th></tr></thead>\n",
-       "<thead><tr><th></th><th>deg</th><th>deg</th><th>arcsec</th><th>arcsec</th><th>deg</th><th>mag</th><th>mag</th><th>mag</th><th>mag</th><th>mag</th><th>mag</th><th></th><th></th><th></th><th>d</th></tr></thead>\n",
-       "<thead><tr><th>str17</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>float32</th><th>float32</th><th>float32</th><th>str3</th><th>int16</th><th>uint8</th><th>float64</th></tr></thead>\n",
-       "<tr><td>07004924-2609161</td><td>105.205199</td><td>-26.154478</td><td>0.06</td><td>0.06</td><td>90.0</td><td>12.241</td><td>11.679</td><td>11.401</td><td>0.027</td><td>0.026</td><td>0.023</td><td>AAA</td><td>222</td><td>0</td><td>2451208.5657</td></tr>\n",
-       "<tr><td>07005553-2609080</td><td>105.231379</td><td>-26.152241</td><td>0.07</td><td>0.07</td><td>45.0</td><td>15.443</td><td>14.916</td><td>14.773</td><td>0.033</td><td>0.049</td><td>0.109</td><td>AAB</td><td>222</td><td>0</td><td>2451208.5657</td></tr>\n",
-       "<tr><td>07005410-2608455</td><td>105.225439</td><td>-26.145973</td><td>0.06</td><td>0.06</td><td>90.0</td><td>10.554</td><td>10.259</td><td>10.203</td><td>0.024</td><td>0.024</td><td>0.019</td><td>AAA</td><td>222</td><td>0</td><td>2451208.5657</td></tr>\n",
-       "<tr><td>07005605-2608553</td><td>105.233576</td><td>-26.14872</td><td>0.06</td><td>0.06</td><td>90.0</td><td>11.891</td><td>11.6</td><td>11.596</td><td>0.026</td><td>0.024</td><td>0.023</td><td>AAA</td><td>222</td><td>0</td><td>2451208.5657</td></tr>\n",
-       "<tr><td>07005809-2608512</td><td>105.242043</td><td>-26.147581</td><td>0.21</td><td>0.2</td><td>109.0</td><td>16.746</td><td>16.293</td><td>15.534</td><td>0.138</td><td>0.199</td><td>--</td><td>BCU</td><td>220</td><td>0</td><td>2451208.5657</td></tr>\n",
-       "<tr><td>07005247-2609231</td><td>105.218641</td><td>-26.156427</td><td>0.08</td><td>0.08</td><td>135.0</td><td>15.602</td><td>15.26</td><td>15.049</td><td>0.063</td><td>0.077</td><td>0.147</td><td>AAB</td><td>222</td><td>0</td><td>2451208.5657</td></tr>\n",
-       "<tr><td>07005211-2609189</td><td>105.217137</td><td>-26.155258</td><td>0.06</td><td>0.06</td><td>90.0</td><td>14.179</td><td>13.935</td><td>13.901</td><td>0.041</td><td>0.043</td><td>0.065</td><td>AAA</td><td>222</td><td>0</td><td>2451208.5657</td></tr>\n",
-       "<tr><td>07005137-2609029</td><td>105.214075</td><td>-26.150816</td><td>0.19</td><td>0.19</td><td>45.0</td><td>16.608</td><td>16.15</td><td>16.086</td><td>0.131</td><td>0.17</td><td>--</td><td>BCU</td><td>220</td><td>0</td><td>2451208.5657</td></tr>\n",
-       "<tr><td>07005056-2609004</td><td>105.210699</td><td>-26.150122</td><td>0.15</td><td>0.15</td><td>45.0</td><td>16.472</td><td>15.976</td><td>15.562</td><td>0.125</td><td>0.15</td><td>--</td><td>BBU</td><td>220</td><td>0</td><td>2451208.5657</td></tr>\n",
-       "<tr><td>...</td><td>...</td><td>...</td><td>...</td><td>...</td><td>...</td><td>...</td><td>...</td><td>...</td><td>...</td><td>...</td><td>...</td><td>...</td><td>...</td><td>...</td><td>...</td></tr>\n",
-       "<tr><td>12404417-5347160</td><td>190.18405</td><td>-53.7878</td><td>0.08</td><td>0.07</td><td>5.0</td><td>15.549</td><td>14.867</td><td>14.521</td><td>0.07</td><td>0.086</td><td>0.104</td><td>AAA</td><td>222</td><td>0</td><td>2451312.531</td></tr>\n",
-       "<tr><td>12404086-5347259</td><td>190.17025</td><td>-53.79055</td><td>0.08</td><td>0.07</td><td>5.0</td><td>15.313</td><td>14.878</td><td>14.915</td><td>0.056</td><td>0.067</td><td>0.144</td><td>AAB</td><td>222</td><td>0</td><td>2451312.531</td></tr>\n",
-       "<tr><td>12404683-5347492</td><td>190.195133</td><td>-53.797001</td><td>0.08</td><td>0.07</td><td>5.0</td><td>15.064</td><td>14.632</td><td>14.569</td><td>0.052</td><td>0.073</td><td>0.099</td><td>AAA</td><td>222</td><td>0</td><td>2451312.531</td></tr>\n",
-       "<tr><td>12404640-5347396</td><td>190.193372</td><td>-53.794361</td><td>0.07</td><td>0.06</td><td>0.0</td><td>13.27</td><td>12.911</td><td>12.881</td><td>0.023</td><td>0.031</td><td>0.031</td><td>AAA</td><td>222</td><td>0</td><td>2451312.531</td></tr>\n",
-       "<tr><td>12093034-5553408</td><td>182.376454</td><td>-55.894691</td><td>0.23</td><td>0.22</td><td>65.0</td><td>16.436</td><td>15.895</td><td>16.865</td><td>0.131</td><td>0.19</td><td>--</td><td>BCU</td><td>220</td><td>0</td><td>2451384.4889</td></tr>\n",
-       "<tr><td>12093037-5553252</td><td>182.376575</td><td>-55.89035</td><td>0.27</td><td>0.26</td><td>43.0</td><td>16.389</td><td>16.026</td><td>16.561</td><td>0.127</td><td>0.217</td><td>--</td><td>BDU</td><td>220</td><td>0</td><td>2451384.4889</td></tr>\n",
-       "<tr><td>12093089-5553446</td><td>182.378724</td><td>-55.895725</td><td>0.17</td><td>0.17</td><td>145.0</td><td>16.26</td><td>15.616</td><td>15.839</td><td>0.117</td><td>0.157</td><td>--</td><td>BCU</td><td>220</td><td>0</td><td>2451384.4889</td></tr>\n",
-       "<tr><td>12093019-5553333</td><td>182.375829</td><td>-55.892605</td><td>0.07</td><td>0.07</td><td>17.0</td><td>15.282</td><td>14.897</td><td>14.683</td><td>0.051</td><td>0.095</td><td>0.119</td><td>AAB</td><td>222</td><td>0</td><td>2451384.4889</td></tr>\n",
-       "<tr><td>12093246-5553264</td><td>182.385279</td><td>-55.890694</td><td>0.06</td><td>0.06</td><td>17.0</td><td>13.705</td><td>13.012</td><td>12.816</td><td>0.027</td><td>0.032</td><td>0.035</td><td>AAA</td><td>222</td><td>0</td><td>2451384.4889</td></tr>\n",
-       "<tr><td>12093324-5553089</td><td>182.388524</td><td>-55.885818</td><td>0.08</td><td>0.07</td><td>3.0</td><td>15.77</td><td>15.261</td><td>14.976</td><td>0.074</td><td>0.111</td><td>0.139</td><td>ABB</td><td>222</td><td>0</td><td>2451384.4889</td></tr>\n",
-       "</table></div>"
-      ],
-      "text/plain": [
-       "<Table length=19784>\n",
-       "     _2MASS       RAJ2000    DEJ2000   errHalfMaj ...  Rfl    X    MeasureJD  \n",
-       "                    deg        deg       arcsec   ...                  d      \n",
-       "     str17        float64    float64    float32   ... int16 uint8   float64   \n",
-       "---------------- ---------- ---------- ---------- ... ----- ----- ------------\n",
-       "07004924-2609161 105.205199 -26.154478       0.06 ...   222     0 2451208.5657\n",
-       "07005553-2609080 105.231379 -26.152241       0.07 ...   222     0 2451208.5657\n",
-       "07005410-2608455 105.225439 -26.145973       0.06 ...   222     0 2451208.5657\n",
-       "07005605-2608553 105.233576  -26.14872       0.06 ...   222     0 2451208.5657\n",
-       "07005809-2608512 105.242043 -26.147581       0.21 ...   220     0 2451208.5657\n",
-       "07005247-2609231 105.218641 -26.156427       0.08 ...   222     0 2451208.5657\n",
-       "07005211-2609189 105.217137 -26.155258       0.06 ...   222     0 2451208.5657\n",
-       "07005137-2609029 105.214075 -26.150816       0.19 ...   220     0 2451208.5657\n",
-       "07005056-2609004 105.210699 -26.150122       0.15 ...   220     0 2451208.5657\n",
-       "             ...        ...        ...        ... ...   ...   ...          ...\n",
-       "12404417-5347160  190.18405   -53.7878       0.08 ...   222     0  2451312.531\n",
-       "12404086-5347259  190.17025  -53.79055       0.08 ...   222     0  2451312.531\n",
-       "12404683-5347492 190.195133 -53.797001       0.08 ...   222     0  2451312.531\n",
-       "12404640-5347396 190.193372 -53.794361       0.07 ...   222     0  2451312.531\n",
-       "12093034-5553408 182.376454 -55.894691       0.23 ...   220     0 2451384.4889\n",
-       "12093037-5553252 182.376575  -55.89035       0.27 ...   220     0 2451384.4889\n",
-       "12093089-5553446 182.378724 -55.895725       0.17 ...   220     0 2451384.4889\n",
-       "12093019-5553333 182.375829 -55.892605       0.07 ...   222     0 2451384.4889\n",
-       "12093246-5553264 182.385279 -55.890694       0.06 ...   222     0 2451384.4889\n",
-       "12093324-5553089 182.388524 -55.885818       0.08 ...   222     0 2451384.4889"
-      ]
-     },
-     "execution_count": 27,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "twomass = moc_intersection.query_vizier_table(\"II/246/out\", max_rows=20000)\n",
-    "twomass"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 28,
-   "metadata": {
-    "scrolled": true,
-    "tags": [
-     "output_scroll"
-    ]
-   },
-   "outputs": [
-    {
-     "data": {
-      "text/html": [
-       "<div><i>Table length=20000</i>\n",
-       "<table id=\"table140505578232304\" class=\"table-striped table-bordered table-condensed\">\n",
-       "<thead><tr><th>ra_epoch2000</th><th>dec_epoch2000</th><th>errHalfMaj</th><th>errHalfMin</th><th>errPosAng</th><th>source_id</th><th>ra</th><th>ra_error</th><th>dec</th><th>dec_error</th><th>parallax</th><th>parallax_error</th><th>pmra</th><th>pmra_error</th><th>pmdec</th><th>pmdec_error</th><th>duplicated_source</th><th>phot_g_mean_flux</th><th>phot_g_mean_flux_error</th><th>phot_g_mean_mag</th><th>phot_bp_mean_flux</th><th>phot_bp_mean_flux_error</th><th>phot_bp_mean_mag</th><th>phot_rp_mean_flux</th><th>phot_rp_mean_flux_error</th><th>phot_rp_mean_mag</th><th>bp_rp</th><th>radial_velocity</th><th>radial_velocity_error</th><th>rv_nb_transits</th><th>teff_val</th><th>a_g_val</th><th>e_bp_min_rp_val</th><th>radius_val</th><th>lum_val</th></tr></thead>\n",
-       "<thead><tr><th>deg</th><th>deg</th><th>arcsec</th><th>arcsec</th><th>deg</th><th></th><th>deg</th><th>mas</th><th>deg</th><th>mas</th><th>mas</th><th>mas</th><th>mas / yr</th><th>mas / yr</th><th>mas / yr</th><th>mas / yr</th><th></th><th>e-/s</th><th>e-/s</th><th>mag</th><th>e-/s</th><th>e-/s</th><th>mag</th><th>e-/s</th><th>e-/s</th><th>mag</th><th>mag</th><th>km / s</th><th>km / s</th><th></th><th>K</th><th>mag</th><th>mag</th><th>Rsun</th><th>Lsun</th></tr></thead>\n",
-       "<thead><tr><th>float64</th><th>float64</th><th>float32</th><th>float32</th><th>float32</th><th>int64</th><th>float64</th><th>float64</th><th>float64</th><th>float64</th><th>float64</th><th>float64</th><th>float64</th><th>float64</th><th>float64</th><th>float64</th><th>bool</th><th>float64</th><th>float64</th><th>float64</th><th>float64</th><th>float64</th><th>float64</th><th>float64</th><th>float64</th><th>float64</th><th>float64</th><th>float64</th><th>float64</th><th>int16</th><th>float64</th><th>float32</th><th>float32</th><th>float64</th><th>float64</th></tr></thead>\n",
-       "<tr><td>105.2066061184302</td><td>-26.1538940663577</td><td>0.004</td><td>0.004</td><td>0.0</td><td>2920762586611045376</td><td>105.20658290054</td><td>0.1161</td><td>-26.15393087599</td><td>0.149</td><td>0.136</td><td>0.1944</td><td>-4.84</td><td>0.253</td><td>-8.549</td><td>0.271</td><td>False</td><td>602.539</td><td>1.1074</td><td>18.738403</td><td>267.377</td><td>5.59862</td><td>19.283577</td><td>535.627</td><td>6.13289</td><td>17.939764</td><td>1.343813</td><td>--</td><td>--</td><td>0</td><td>--</td><td>--</td><td>--</td><td>--</td><td>--</td></tr>\n",
-       "<tr><td>105.2052022499317</td><td>-26.1544492445426</td><td>0.001</td><td>0.001</td><td>0.0</td><td>2920762586615338752</td><td>105.20527986473</td><td>0.0267</td><td>-26.15425317585</td><td>0.0358</td><td>15.1333</td><td>0.0454</td><td>16.181</td><td>0.059</td><td>45.539</td><td>0.066</td><td>False</td><td>16217.1</td><td>8.55749</td><td>15.163431</td><td>2736.6</td><td>12.0165</td><td>16.75836</td><td>21463.4</td><td>32.9159</td><td>13.932673</td><td>2.825687</td><td>--</td><td>--</td><td>0</td><td>3928.82</td><td>0.1227</td><td>0.094</td><td>--</td><td>--</td></tr>\n",
-       "<tr><td>105.2254316259827</td><td>-26.1459685548036</td><td>0.001</td><td>0.001</td><td>0.0</td><td>2920762724054281728</td><td>105.22540767106</td><td>0.0161</td><td>-26.14597192505</td><td>0.0217</td><td>3.0363</td><td>0.0265</td><td>-4.994</td><td>0.034</td><td>-0.783</td><td>0.039</td><td>False</td><td>447474.0</td><td>150.212</td><td>11.561445</td><td>240915.0</td><td>221.395</td><td>11.896729</td><td>295385.0</td><td>244.062</td><td>11.085948</td><td>0.810782</td><td>12.24</td><td>0.54</td><td>10</td><td>5789.0</td><td>0.359</td><td>0.195</td><td>1.38</td><td>1.916</td></tr>\n",
-       "<tr><td>105.2255476000922</td><td>-26.1406471806866</td><td>0.062</td><td>0.038</td><td>90.0</td><td>2920762724052466816</td><td>105.22555538166</td><td>2.0243</td><td>-26.14064454062</td><td>1.4671</td><td>-4.0178</td><td>1.6818</td><td>1.622</td><td>3.991</td><td>0.613</td><td>2.468</td><td>False</td><td>76.608</td><td>1.20685</td><td>20.97768</td><td>36.0788</td><td>7.86989</td><td>21.458258</td><td>65.0345</td><td>7.80032</td><td>20.229061</td><td>1.229197</td><td>--</td><td>--</td><td>0</td><td>--</td><td>--</td><td>--</td><td>--</td><td>--</td></tr>\n",
-       "<tr><td>105.2186311670325</td><td>-26.156438621226</td><td>0.002</td><td>0.001</td><td>0.0</td><td>2920762685395330944</td><td>105.21862542833</td><td>0.0384</td><td>-26.1564233977</td><td>0.0518</td><td>0.4535</td><td>0.0652</td><td>-1.196</td><td>0.088</td><td>3.536</td><td>0.101</td><td>False</td><td>3596.37</td><td>2.41419</td><td>16.798706</td><td>1782.51</td><td>6.52961</td><td>17.223808</td><td>2630.98</td><td>10.0304</td><td>16.211626</td><td>1.012182</td><td>--</td><td>--</td><td>0</td><td>5324.0</td><td>0.2803</td><td>0.14</td><td>--</td><td>--</td></tr>\n",
-       "<tr><td>105.2119407930607</td><td>-26.148242191244</td><td>0.012</td><td>0.011</td><td>0.0</td><td>2920762689690245120</td><td>105.21193444979</td><td>0.3448</td><td>-26.14822964561</td><td>0.433</td><td>0.6099</td><td>0.6059</td><td>-1.322</td><td>0.699</td><td>2.914</td><td>0.795</td><td>False</td><td>151.185</td><td>0.741582</td><td>20.239592</td><td>58.4888</td><td>5.62295</td><td>20.933706</td><td>147.958</td><td>5.41634</td><td>19.336573</td><td>1.597134</td><td>--</td><td>--</td><td>0</td><td>--</td><td>--</td><td>--</td><td>--</td><td>--</td></tr>\n",
-       "<tr><td>105.2101027197529</td><td>-26.1493188643026</td><td>0.003</td><td>0.002</td><td>0.0</td><td>2920762685393857664</td><td>105.21008829533</td><td>0.075</td><td>-26.14929289497</td><td>0.1004</td><td>0.5265</td><td>0.1263</td><td>-3.007</td><td>0.157</td><td>6.032</td><td>0.181</td><td>False</td><td>1089.74</td><td>1.25074</td><td>18.09506</td><td>474.512</td><td>8.77005</td><td>18.66077</td><td>951.979</td><td>11.217</td><td>17.315351</td><td>1.345419</td><td>--</td><td>--</td><td>0</td><td>--</td><td>--</td><td>--</td><td>--</td><td>--</td></tr>\n",
-       "<tr><td>105.233577941629</td><td>-26.1487114377012</td><td>0.001</td><td>0.001</td><td>0.0</td><td>2920762655334900352</td><td>105.23358687293</td><td>0.0188</td><td>-26.14871224799</td><td>0.0281</td><td>0.6511</td><td>0.0338</td><td>1.862</td><td>0.039</td><td>-0.188</td><td>0.05</td><td>False</td><td>141155.0</td><td>27.6249</td><td>12.814123</td><td>79733.0</td><td>74.3211</td><td>13.097294</td><td>90552.3</td><td>113.271</td><td>12.369671</td><td>0.727623</td><td>--</td><td>--</td><td>0</td><td>6290.0</td><td>--</td><td>--</td><td>3.03</td><td>12.909</td></tr>\n",
-       "<tr><td>105.2298314760221</td><td>-26.1384116458451</td><td>0.006</td><td>0.005</td><td>0.0</td><td>2920762719755070720</td><td>105.2298328238</td><td>0.1448</td><td>-26.13840364909</td><td>0.2119</td><td>-0.4599</td><td>0.2489</td><td>0.281</td><td>0.308</td><td>1.857</td><td>0.383</td><td>False</td><td>1198.17</td><td>3.55001</td><td>17.99207</td><td>586.998</td><td>6.56335</td><td>18.429798</td><td>1042.57</td><td>5.6909</td><td>17.216658</td><td>1.213141</td><td>--</td><td>--</td><td>0</td><td>--</td><td>--</td><td>--</td><td>--</td><td>--</td></tr>\n",
-       "<tr><td>...</td><td>...</td><td>...</td><td>...</td><td>...</td><td>...</td><td>...</td><td>...</td><td>...</td><td>...</td><td>...</td><td>...</td><td>...</td><td>...</td><td>...</td><td>...</td><td>...</td><td>...</td><td>...</td><td>...</td><td>...</td><td>...</td><td>...</td><td>...</td><td>...</td><td>...</td><td>...</td><td>...</td><td>...</td><td>...</td><td>...</td><td>...</td><td>...</td><td>...</td><td>...</td></tr>\n",
-       "<tr><td>286.6944839297623</td><td>-16.5791122649035</td><td>0.013</td><td>0.012</td><td>90.0</td><td>4088730220650842112</td><td>286.69447423648</td><td>0.4206</td><td>-16.57914487135</td><td>0.3966</td><td>0.1547</td><td>0.435</td><td>-2.158</td><td>0.825</td><td>-7.573</td><td>0.752</td><td>False</td><td>249.761</td><td>1.3222</td><td>19.694551</td><td>114.872</td><td>17.7943</td><td>20.200851</td><td>200.298</td><td>10.7865</td><td>19.007727</td><td>1.193125</td><td>--</td><td>--</td><td>0</td><td>--</td><td>--</td><td>--</td><td>--</td><td>--</td></tr>\n",
-       "<tr><td>286.6993829324819</td><td>-16.5821039497348</td><td>0.004</td><td>0.003</td><td>90.0</td><td>4088730216353585920</td><td>286.69937395748</td><td>0.1357</td><td>-16.58213272386</td><td>0.1369</td><td>0.1246</td><td>0.1411</td><td>-1.998</td><td>0.238</td><td>-6.683</td><td>0.215</td><td>False</td><td>1981.79</td><td>3.06034</td><td>17.445724</td><td>844.279</td><td>10.0523</td><td>18.035173</td><td>1643.97</td><td>10.3648</td><td>16.722185</td><td>1.312988</td><td>--</td><td>--</td><td>0</td><td>--</td><td>--</td><td>--</td><td>--</td><td>--</td></tr>\n",
-       "<tr><td>286.6963834136197</td><td>-16.5849153146221</td><td>0.002</td><td>0.001</td><td>90.0</td><td>4088730220669538688</td><td>286.69637839819</td><td>0.0527</td><td>-16.58490847684</td><td>0.0491</td><td>0.0708</td><td>0.055</td><td>-1.116</td><td>0.102</td><td>1.588</td><td>0.089</td><td>False</td><td>9283.59</td><td>7.20664</td><td>15.769075</td><td>3756.87</td><td>14.4613</td><td>16.414322</td><td>7967.53</td><td>26.8564</td><td>15.008611</td><td>1.405711</td><td>--</td><td>--</td><td>0</td><td>4809.62</td><td>0.348</td><td>0.1653</td><td>--</td><td>--</td></tr>\n",
-       "<tr><td>286.6938297521173</td><td>-16.5806976451671</td><td>0.037</td><td>0.033</td><td>0.0</td><td>4088730220650841472</td><td>286.69380780318</td><td>0.8091</td><td>-16.58070500216</td><td>0.7449</td><td>1.6569</td><td>0.9279</td><td>-4.886</td><td>2.144</td><td>-1.709</td><td>2.399</td><td>False</td><td>126.719</td><td>1.9013</td><td>20.431263</td><td>248.985</td><td>155.818</td><td>19.360956</td><td>117.25</td><td>48.3755</td><td>19.589136</td><td>-0.22818</td><td>--</td><td>--</td><td>0</td><td>--</td><td>--</td><td>--</td><td>--</td><td>--</td></tr>\n",
-       "<tr><td>286.6937302999216</td><td>-16.586352116054</td><td>0.017</td><td>0.015</td><td>90.0</td><td>4088730186289924096</td><td>286.6937419687</td><td>0.5747</td><td>-16.58637019079</td><td>0.5313</td><td>0.6284</td><td>0.5059</td><td>2.597</td><td>1.078</td><td>-4.198</td><td>0.941</td><td>False</td><td>242.495</td><td>1.42055</td><td>19.726606</td><td>187.615</td><td>8.71396</td><td>19.668219</td><td>258.771</td><td>12.5838</td><td>18.729631</td><td>0.938587</td><td>--</td><td>--</td><td>0</td><td>--</td><td>--</td><td>--</td><td>--</td><td>--</td></tr>\n",
-       "<tr><td>286.6923263914704</td><td>-16.5950076068847</td><td>0.016</td><td>0.014</td><td>90.0</td><td>4088730117570391680</td><td>286.69228689634</td><td>0.5148</td><td>-16.59503562694</td><td>0.486</td><td>0.0273</td><td>0.4912</td><td>-8.791</td><td>1.005</td><td>-6.508</td><td>0.919</td><td>False</td><td>254.175</td><td>1.17755</td><td>19.675533</td><td>166.733</td><td>7.80453</td><td>19.796333</td><td>186.025</td><td>13.988</td><td>19.087994</td><td>0.70834</td><td>--</td><td>--</td><td>0</td><td>--</td><td>--</td><td>--</td><td>--</td><td>--</td></tr>\n",
-       "<tr><td>286.6990751669917</td><td>-16.5854870711225</td><td>0.031</td><td>0.03</td><td>0.0</td><td>4088730220650832384</td><td>286.69907017979</td><td>0.8828</td><td>-16.58550441555</td><td>0.8566</td><td>0.4562</td><td>0.795</td><td>-1.11</td><td>1.964</td><td>-4.028</td><td>1.977</td><td>False</td><td>127.25</td><td>1.32415</td><td>20.426722</td><td>93.6008</td><td>14.2788</td><td>20.42319</td><td>101.515</td><td>14.6011</td><td>19.745594</td><td>0.677595</td><td>--</td><td>--</td><td>0</td><td>--</td><td>--</td><td>--</td><td>--</td><td>--</td></tr>\n",
-       "<tr><td>286.699727987182</td><td>-16.5849042116214</td><td>0.003</td><td>0.003</td><td>90.0</td><td>4088730216353575936</td><td>286.69972717633</td><td>0.1016</td><td>-16.58492114919</td><td>0.0954</td><td>0.1231</td><td>0.1025</td><td>-0.18</td><td>0.191</td><td>-3.934</td><td>0.172</td><td>False</td><td>2902.42</td><td>3.65924</td><td>17.031467</td><td>1430.36</td><td>11.801</td><td>17.462772</td><td>2171.63</td><td>25.1919</td><td>16.419954</td><td>1.042818</td><td>--</td><td>--</td><td>0</td><td>5063.84</td><td>--</td><td>--</td><td>--</td><td>--</td></tr>\n",
-       "<tr><td>286.6915147248319</td><td>-16.5880323030601</td><td>0.012</td><td>0.011</td><td>90.0</td><td>4088730186289926528</td><td>286.69151218666</td><td>0.4126</td><td>-16.58806439493</td><td>0.3824</td><td>0.2903</td><td>0.4003</td><td>-0.565</td><td>0.793</td><td>-7.454</td><td>0.721</td><td>False</td><td>311.3</td><td>1.37999</td><td>19.455416</td><td>147.821</td><td>8.99601</td><td>19.92705</td><td>232.117</td><td>9.25892</td><td>18.847652</td><td>1.079397</td><td>--</td><td>--</td><td>0</td><td>--</td><td>--</td><td>--</td><td>--</td><td>--</td></tr>\n",
-       "<tr><td>286.6980906584381</td><td>-16.589175455702</td><td>0.003</td><td>0.003</td><td>90.0</td><td>4088730117570395264</td><td>286.69809065844</td><td>3.096</td><td>-16.5891754557</td><td>2.5481</td><td>--</td><td>--</td><td>--</td><td>--</td><td>--</td><td>--</td><td>False</td><td>115.568</td><td>1.27166</td><td>20.531275</td><td>91.317</td><td>15.7204</td><td>20.450008</td><td>100.718</td><td>11.8582</td><td>19.754148</td><td>0.69586</td><td>--</td><td>--</td><td>0</td><td>--</td><td>--</td><td>--</td><td>--</td><td>--</td></tr>\n",
-       "</table></div>"
-      ],
-      "text/plain": [
-       "<Table length=20000>\n",
-       "   ra_epoch2000     dec_epoch2000   errHalfMaj ... radius_val lum_val\n",
-       "       deg               deg          arcsec   ...    Rsun      Lsun \n",
-       "     float64           float64       float32   ...  float64   float64\n",
-       "----------------- ----------------- ---------- ... ---------- -------\n",
-       "105.2066061184302 -26.1538940663577      0.004 ...         --      --\n",
-       "105.2052022499317 -26.1544492445426      0.001 ...         --      --\n",
-       "105.2254316259827 -26.1459685548036      0.001 ...       1.38   1.916\n",
-       "105.2255476000922 -26.1406471806866      0.062 ...         --      --\n",
-       "105.2186311670325  -26.156438621226      0.002 ...         --      --\n",
-       "105.2119407930607  -26.148242191244      0.012 ...         --      --\n",
-       "105.2101027197529 -26.1493188643026      0.003 ...         --      --\n",
-       " 105.233577941629 -26.1487114377012      0.001 ...       3.03  12.909\n",
-       "105.2298314760221 -26.1384116458451      0.006 ...         --      --\n",
-       "              ...               ...        ... ...        ...     ...\n",
-       "286.6944839297623 -16.5791122649035      0.013 ...         --      --\n",
-       "286.6993829324819 -16.5821039497348      0.004 ...         --      --\n",
-       "286.6963834136197 -16.5849153146221      0.002 ...         --      --\n",
-       "286.6938297521173 -16.5806976451671      0.037 ...         --      --\n",
-       "286.6937302999216  -16.586352116054      0.017 ...         --      --\n",
-       "286.6923263914704 -16.5950076068847      0.016 ...         --      --\n",
-       "286.6990751669917 -16.5854870711225      0.031 ...         --      --\n",
-       " 286.699727987182 -16.5849042116214      0.003 ...         --      --\n",
-       "286.6915147248319 -16.5880323030601      0.012 ...         --      --\n",
-       "286.6980906584381  -16.589175455702      0.003 ...         --      --"
-      ]
-     },
-     "execution_count": 28,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "gaia = moc_intersection.query_vizier_table(\"I/345/gaia2\", max_rows=20000)\n",
-    "gaia"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "## Step 6: Cross-match Gaia and WISE sources in all fields\n",
-    "\n",
-    "We now want to find sources in the selected region (observed in the MASH regions of interest and at low extinction) that are common to the Wide Infrared Survey Explorer ([WISE](https://irsa.ipac.caltech.edu/Missions/wise.html)) and Gaia catalogs. To do so, we will perform a cross-match of the Gaia and WISE catalogs. Alternatively, we could use the CDS XMatch service via the corresponding `astroquery` module.\n",
-    "\n",
-    "To do so, let's first inspect the `match_coordinates_sky` function from `astropy.coordinates`. "
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 29,
-   "metadata": {
-    "scrolled": true,
-    "tags": [
-     "output_scroll"
-    ]
-   },
-   "outputs": [
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "Help on function match_coordinates_sky in module astropy.coordinates.matching:\n",
-      "\n",
-      "match_coordinates_sky(matchcoord, catalogcoord, nthneighbor=1, storekdtree='kdtree_sky')\n",
-      "    Finds the nearest on-sky matches of a coordinate or coordinates in\n",
-      "    a set of catalog coordinates.\n",
-      "    \n",
-      "    This finds the on-sky closest neighbor, which is only different from the\n",
-      "    3-dimensional match if ``distance`` is set in either ``matchcoord``\n",
-      "    or ``catalogcoord``.\n",
-      "    \n",
-      "    Parameters\n",
-      "    ----------\n",
-      "    matchcoord : `~astropy.coordinates.BaseCoordinateFrame` or `~astropy.coordinates.SkyCoord`\n",
-      "        The coordinate(s) to match to the catalog.\n",
-      "    catalogcoord : `~astropy.coordinates.BaseCoordinateFrame` or `~astropy.coordinates.SkyCoord`\n",
-      "        The base catalog in which to search for matches. Typically this will\n",
-      "        be a coordinate object that is an array (i.e.,\n",
-      "        ``catalogcoord.isscalar == False``)\n",
-      "    nthneighbor : int, optional\n",
-      "        Which closest neighbor to search for.  Typically ``1`` is desired here,\n",
-      "        as that is correct for matching one set of coordinates to another.\n",
-      "        The next likely use case is ``2``, for matching a coordinate catalog\n",
-      "        against *itself* (``1`` is inappropriate because each point will find\n",
-      "        itself as the closest match).\n",
-      "    storekdtree : bool or str, optional\n",
-      "        If a string, will store the KD-Tree used for the computation\n",
-      "        in the ``catalogcoord`` in ``catalogcoord.cache`` with the\n",
-      "        provided name.  This dramatically speeds up subsequent calls with the\n",
-      "        same catalog. If False, the KD-Tree is discarded after use.\n",
-      "    \n",
-      "    Returns\n",
-      "    -------\n",
-      "    idx : int array\n",
-      "        Indices into ``catalogcoord`` to get the matched points for each\n",
-      "        ``matchcoord``. Shape matches ``matchcoord``.\n",
-      "    sep2d : `~astropy.coordinates.Angle`\n",
-      "        The on-sky separation between the closest match for each\n",
-      "        ``matchcoord`` and the ``matchcoord``. Shape matches ``matchcoord``.\n",
-      "    dist3d : `~astropy.units.Quantity` ['length']\n",
-      "        The 3D distance between the closest match for each ``matchcoord`` and\n",
-      "        the ``matchcoord``. Shape matches ``matchcoord``.  If either\n",
-      "        ``matchcoord`` or ``catalogcoord`` don't have a distance, this is the 3D\n",
-      "        distance on the unit sphere, rather than a true distance.\n",
-      "    \n",
-      "    Notes\n",
-      "    -----\n",
-      "    This function requires `SciPy <https://www.scipy.org/>`_ to be installed\n",
-      "    or it will fail.\n",
-      "\n"
-     ]
-    }
-   ],
-   "source": [
-    "help(match_coordinates_sky)"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 30,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "# We generate the coordinates in the appropriate format\n",
-    "twomass_coord = SkyCoord(ra=twomass[\"RAJ2000\"], dec=twomass[\"DEJ2000\"], unit=u.deg)\n",
-    "gaia_coord = SkyCoord(ra=gaia[\"ra_epoch2000\"], dec=gaia[\"dec_epoch2000\"], unit=u.deg)\n",
-    "\n",
-    "index, separation_2d, _ = match_coordinates_sky(twomass_coord, gaia_coord)"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 31,
-   "metadata": {
-    "scrolled": true,
-    "tags": [
-     "output_scroll"
-    ]
-   },
-   "outputs": [
-    {
-     "data": {
-      "text/html": [
-       "<div><i>Table length=2461</i>\n",
-       "<table id=\"table140505834355152\" class=\"table-striped table-bordered table-condensed\">\n",
-       "<thead><tr><th>_2MASS</th><th>RAJ2000</th><th>DEJ2000</th><th>Hmag</th><th>Kmag</th><th>Gmag</th></tr></thead>\n",
-       "<thead><tr><th></th><th>deg</th><th>deg</th><th>mag</th><th>mag</th><th>mag</th></tr></thead>\n",
-       "<thead><tr><th>str17</th><th>float64</th><th>float64</th><th>float32</th><th>float32</th><th>float64</th></tr></thead>\n",
-       "<tr><td>07004924-2609161</td><td>105.205199</td><td>-26.154478</td><td>11.679</td><td>11.401</td><td>15.163431</td></tr>\n",
-       "<tr><td>07005553-2609080</td><td>105.231379</td><td>-26.152241</td><td>14.916</td><td>14.773</td><td>17.04277</td></tr>\n",
-       "<tr><td>07005410-2608455</td><td>105.225439</td><td>-26.145973</td><td>10.259</td><td>10.203</td><td>11.561445</td></tr>\n",
-       "<tr><td>07005605-2608553</td><td>105.233576</td><td>-26.14872</td><td>11.6</td><td>11.596</td><td>12.814123</td></tr>\n",
-       "<tr><td>07005809-2608512</td><td>105.242043</td><td>-26.147581</td><td>16.293</td><td>15.534</td><td>18.124905</td></tr>\n",
-       "<tr><td>07005247-2609231</td><td>105.218641</td><td>-26.156427</td><td>15.26</td><td>15.049</td><td>16.798706</td></tr>\n",
-       "<tr><td>07005211-2609189</td><td>105.217137</td><td>-26.155258</td><td>13.935</td><td>13.901</td><td>15.073216</td></tr>\n",
-       "<tr><td>07005137-2609029</td><td>105.214075</td><td>-26.150816</td><td>16.15</td><td>16.086</td><td>18.203348</td></tr>\n",
-       "<tr><td>07005056-2609004</td><td>105.210699</td><td>-26.150122</td><td>15.976</td><td>15.562</td><td>18.129118</td></tr>\n",
-       "<tr><td>...</td><td>...</td><td>...</td><td>...</td><td>...</td><td>...</td></tr>\n",
-       "<tr><td>19064553-1634404</td><td>286.689742</td><td>-16.577908</td><td>13.019</td><td>12.891</td><td>14.491944</td></tr>\n",
-       "<tr><td>19064594-1635515</td><td>286.691417</td><td>-16.597643</td><td>15.619</td><td>15.301</td><td>20.496124</td></tr>\n",
-       "<tr><td>19064668-1634538</td><td>286.694521</td><td>-16.581614</td><td>15.432</td><td>14.542</td><td>17.792925</td></tr>\n",
-       "<tr><td>19064720-1635472</td><td>286.696689</td><td>-16.596464</td><td>15.485</td><td>15.537</td><td>17.76891</td></tr>\n",
-       "<tr><td>19064817-1634479</td><td>286.700747</td><td>-16.579975</td><td>15.088</td><td>14.954</td><td>16.522064</td></tr>\n",
-       "<tr><td>19064785-1634555</td><td>286.699402</td><td>-16.582111</td><td>15.25</td><td>14.904</td><td>17.445724</td></tr>\n",
-       "<tr><td>19064793-1635057</td><td>286.699732</td><td>-16.584917</td><td>15.312</td><td>15.112</td><td>17.031467</td></tr>\n",
-       "<tr><td>19065153-1635084</td><td>286.714737</td><td>-16.58567</td><td>15.863</td><td>14.698</td><td>18.407427</td></tr>\n",
-       "<tr><td>19065170-1635040</td><td>286.715418</td><td>-16.584455</td><td>13.256</td><td>13.168</td><td>15.601813</td></tr>\n",
-       "<tr><td>19065195-1635199</td><td>286.716468</td><td>-16.588884</td><td>15.119</td><td>15.102</td><td>16.665237</td></tr>\n",
-       "</table></div>"
-      ],
-      "text/plain": [
-       "<Table length=2461>\n",
-       "     _2MASS       RAJ2000    DEJ2000     Hmag    Kmag     Gmag  \n",
-       "                    deg        deg       mag     mag      mag   \n",
-       "     str17        float64    float64   float32 float32  float64 \n",
-       "---------------- ---------- ---------- ------- ------- ---------\n",
-       "07004924-2609161 105.205199 -26.154478  11.679  11.401 15.163431\n",
-       "07005553-2609080 105.231379 -26.152241  14.916  14.773  17.04277\n",
-       "07005410-2608455 105.225439 -26.145973  10.259  10.203 11.561445\n",
-       "07005605-2608553 105.233576  -26.14872    11.6  11.596 12.814123\n",
-       "07005809-2608512 105.242043 -26.147581  16.293  15.534 18.124905\n",
-       "07005247-2609231 105.218641 -26.156427   15.26  15.049 16.798706\n",
-       "07005211-2609189 105.217137 -26.155258  13.935  13.901 15.073216\n",
-       "07005137-2609029 105.214075 -26.150816   16.15  16.086 18.203348\n",
-       "07005056-2609004 105.210699 -26.150122  15.976  15.562 18.129118\n",
-       "             ...        ...        ...     ...     ...       ...\n",
-       "19064553-1634404 286.689742 -16.577908  13.019  12.891 14.491944\n",
-       "19064594-1635515 286.691417 -16.597643  15.619  15.301 20.496124\n",
-       "19064668-1634538 286.694521 -16.581614  15.432  14.542 17.792925\n",
-       "19064720-1635472 286.696689 -16.596464  15.485  15.537  17.76891\n",
-       "19064817-1634479 286.700747 -16.579975  15.088  14.954 16.522064\n",
-       "19064785-1634555 286.699402 -16.582111   15.25  14.904 17.445724\n",
-       "19064793-1635057 286.699732 -16.584917  15.312  15.112 17.031467\n",
-       "19065153-1635084 286.714737  -16.58567  15.863  14.698 18.407427\n",
-       "19065170-1635040 286.715418 -16.584455  13.256  13.168 15.601813\n",
-       "19065195-1635199 286.716468 -16.588884  15.119  15.102 16.665237"
-      ]
-     },
-     "execution_count": 31,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "# Decide the maximum separation between objects to be considered acceptable matches\n",
-    "max_separation = 1.0 * u.arcsec\n",
-    "# Apply constraint on the two catalogs\n",
-    "sep_constraint = separation_2d < max_separation\n",
-    "twomass_matches = twomass[sep_constraint]\n",
-    "gaia_matches = gaia[index[sep_constraint]]\n",
-    "# Select only interesting columns from twomass_matches\n",
-    "match_catalog = twomass_matches[\"_2MASS\", \"RAJ2000\", \"DEJ2000\", \"Hmag\", \"Kmag\"]\n",
-    "# Add column G magnitude from gaia\n",
-    "match_catalog[\"Gmag\"] = gaia_matches[\"phot_g_mean_mag\"]\n",
-    "match_catalog"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "## Step 7: Build a color-color diagram\n",
-    "\n",
-    "We now use the data we got from the cross-match to get a WISE/Gaia color-color diagram for all the sources in the low extinction sky regions covered by the MASH survey:"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 32,
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "image/png": 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",
-      "text/plain": [
-       "<Figure size 1000x800 with 1 Axes>"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    }
-   ],
-   "source": [
-    "fig, ax = plt.subplots(figsize=(10, 8))\n",
-    "ax.plot(\n",
-    "    match_catalog[\"Hmag\"] - match_catalog[\"Kmag\"],\n",
-    "    match_catalog[\"Gmag\"] - match_catalog[\"Hmag\"],\n",
-    "    linestyle=\"\",\n",
-    "    marker=\".\",\n",
-    ")\n",
-    "ax.set_xlabel(\"H - Ks [mag]\", fontsize=16)\n",
-    "ax.set_ylabel(\"G - H [mag]\", fontsize=16)\n",
-    "plt.show()"
-   ]
-  }
- ],
- "metadata": {
-  "kernelspec": {
-   "display_name": "cds-tutos",
-   "language": "python",
-   "name": "python3"
-  },
-  "language_info": {
-   "codemirror_mode": {
-    "name": "ipython",
-    "version": 3
-   },
-   "file_extension": ".py",
-   "mimetype": "text/x-python",
-   "name": "python",
-   "nbconvert_exporter": "python",
-   "pygments_lexer": "ipython3",
-   "version": "3.10.8"
-  },
-  "vscode": {
-   "interpreter": {
-    "hash": "18fabf4b7284864439f771ae90661426265feb3ce932d65d859d3ebdb8aac045"
-   }
-  }
- },
- "nbformat": 4,
- "nbformat_minor": 4
-}
diff --git a/Notebooks/Data/Result_moc/Schlegel_extinction_map.fits b/Notebooks/Data/Result_moc/Schlegel_extinction_map.fits
deleted file mode 100644
index cf6f161..0000000
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diff --git a/Notebooks/Data/Result_moc/low_extinction_moc.fits b/Notebooks/Data/Result_moc/low_extinction_moc.fits
deleted file mode 100644
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diff --git a/README.md b/README.md
index fde76d3..1e09332 100644
--- a/README.md
+++ b/README.md
@@ -23,7 +23,7 @@ Some tutorials hosted here are based on [EURO-VO tutorials](https://www.euro-vo.
   - [How to use the tutorials](#how-to-use-the-tutorials)
     - [On your machine](#on-your-machine)
     - [In github codespaces](#in-github-codespaces)
-    - [On mybinder.org](#on-mybinder)
+    - [On mybinder](#on-mybinder)
     - [As a book](#as-a-book)
   - [Flight plan](#flight-plan)
     - [1. Intro to CDS services in notebooks](#1-intro-to-cds-services-in-notebooks)
@@ -31,7 +31,7 @@ Some tutorials hosted here are based on [EURO-VO tutorials](https://www.euro-vo.
     - [3. Abel1656, The Coma Cluster of Galaxies \_\_ The Simple Spectral Access Protocol](#3-abel1656-the-coma-cluster-of-galaxies-__-the-simple-spectral-access-protocol)
     - [4. High Energy sources \_\_ advanced use of CDS services](#4-high-energy-sources-__-advanced-use-of-cds-services)
     - [5. Brown Dwarf search \_\_ cross-matching catalogs](#5-brown-dwarf-search-__-cross-matching-catalogs)
-    - [6. The MASH Planetary Nebulae Catalog \_\_ Advanced usage of HiPS and MOC to explore complex regions of interrest](#6-the-mash-planetary-nebulae-catalog-__-advanced-usage-of-hips-and-moc-to-explore-complex-regions-of-interrest)
+    - [6. Advanced usage of MOC to explore complex regions of interest](#6-advanced-usage-of-moc-to-explore-complex-regions-of-interest)
     - [7. Multi Messenger Astronomy \_\_ Generation of an observation plan with MOCs](#7-multi-messenger-astronomy-__-generation-of-an-observation-plan-with-mocs)
   - [Additional tutorials used in past conferences and schools](#additional-tutorials-used-in-past-conferences-and-schools)
   - [Need help?](#need-help)
@@ -63,12 +63,12 @@ This can be done with the following commands:
   pip install -r requirements.txt
   jupyter lab
 ```
-  
+
 Note: the file `justfile` contains the instructions to create an environnement with `conda`.
 
 ### In github codespaces
 
-- In Github, you can open a JupyterLab instance. To do so, go in your [`Settings`](https://github.com/settings/profile), then `Codespaces` and in `Editor Preference` choose `Jupyter Lab`. And voilà, you can now launch the tutorials, execute and modify them without any installation! 
+- In Github, you can open a JupyterLab instance. To do so, go in your [`Settings`](https://github.com/settings/profile), then `Codespaces` and in `Editor Preference` choose `Jupyter Lab`. And voilà, you can now launch the tutorials, execute and modify them without any installation!
 
 ![codespace](https://github.com/cds-astro/tutorials/assets/16650466/1e969477-2230-4a39-920c-3a1ee2c9d9e4)
 
@@ -145,7 +145,7 @@ For this tutorial we focus on gamma-ray and high energy spectral bands and start
 
 Brown dwarfs are objects occupying the gap between the least massive stars and the most massive planets. They are intrinsically faint objects. Hence, heir detection is not straightforward and, in fact, was almost impossible until the advent of global surveys at deep optical and near-infrared bands like SDSS, 2MASS or DENIS. We propose here to mine the 2MASS point source catalogue (2MASS-PSC) and SDSS-DR9 databases to identify T-type brown dwarfs through an appropriate combination of colors in the optical and the infrared, an approach that perfectly fits into the Virtual Observatory.
 
-### [6. The MASH Planetary Nebulae Catalog __ Advanced usage of HiPS and MOC to explore complex regions of interrest](Notebooks/6_Planetary_Nebulae__Advanced_usage_of_HiPS_and_MOCs.ipynb)
+### [6. Advanced usage of MOC to explore complex regions of interest](Notebooks/6_Advanced_usage_of_MOCs.ipynb)
 
 [![Vizier](https://custom-icon-badges.demolab.com/badge/Vizier-gray.svg?logo=vizier&logoColor=orange&logoWidth=20)](https://vizier.cds.unistra.fr/viz-bin/VizieR "https://vizier.cds.unistra.fr/viz-bin/VizieR")
 [![MOCpy](https://custom-icon-badges.demolab.com/badge/MOCpy-gray.svg?logo=mocpy&logoWidth=20&)](https://github.com/cds-astro/mocpy "https://github.com/cds-astro/mocpy")